src/notebooks/cnft_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# CNFT Project Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Library "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import ast  \n",
    "import os, sys\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from cardano_explorer import blockfrost_api, cnft_io\n",
    "\n",
    "# Get api key in dev mode\n",
    "path = '{}/{}'.format(os.path.dirname(os.path.abspath('..')), 'config.py')\n",
    "if os.path.exists(path):\n",
    "    sys.path.insert(0,'../..')\n",
    "    import config\n",
    "    blockfrost_api_key= config.blockfrost_api_key\n",
    "\n",
    "# Seaborn configuration\n",
    "sns.set_style(\"darkgrid\")\n",
    "sns.set(rc={'figure.figsize':(12,8)})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "### Set Blockfrost Api Key "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "cardano_mainnet = blockfrost_api.Auth(blockfrost_api_key)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "### Get The Verified Policy Id\n",
    "\n",
    "CNFT.io have a repo with verified policy id, check on [Cardano NFTs](https://github.com/Cardano-NFTs/policyIDs)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Clay Nation by Clay Mates Policy Id: 40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c28262fab21728\n"
     ]
    }
   ],
   "source": [
    "# Get the verified policy id\n",
    "clay_nation_policy_id = cnft_io.get_policy_id('Clay Nation by Clay Mates')[0]\n",
    "print('Clay Nation by Clay Mates Policy Id: {}'.format(clay_nation_policy_id))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Check if all the assets have been minted¶\n",
    "\n",
    "10, 000 CNFT have been minted for the Clay Nation By Clay Mates project."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "\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>asset</th>\n",
       "      <th>quantity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>94da605878403d07c144fe96cd50fe20c16186dd8d171c...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>94da605878403d07c144fe96cd50fe20c16186dd8d171c...</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>94da605878403d07c144fe96cd50fe20c16186dd8d171c...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>94da605878403d07c144fe96cd50fe20c16186dd8d171c...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>94da605878403d07c144fe96cd50fe20c16186dd8d171c...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2725</th>\n",
       "      <td>94da605878403d07c144fe96cd50fe20c16186dd8d171c...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2726</th>\n",
       "      <td>94da605878403d07c144fe96cd50fe20c16186dd8d171c...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2727</th>\n",
       "      <td>94da605878403d07c144fe96cd50fe20c16186dd8d171c...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2728</th>\n",
       "      <td>94da605878403d07c144fe96cd50fe20c16186dd8d171c...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2729</th>\n",
       "      <td>94da605878403d07c144fe96cd50fe20c16186dd8d171c...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2730 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                  asset quantity\n",
       "0     94da605878403d07c144fe96cd50fe20c16186dd8d171c...        1\n",
       "1     94da605878403d07c144fe96cd50fe20c16186dd8d171c...        1\n",
       "2     94da605878403d07c144fe96cd50fe20c16186dd8d171c...        1\n",
       "3     94da605878403d07c144fe96cd50fe20c16186dd8d171c...        1\n",
       "4     94da605878403d07c144fe96cd50fe20c16186dd8d171c...        1\n",
       "...                                                 ...      ...\n",
       "2725  94da605878403d07c144fe96cd50fe20c16186dd8d171c...        1\n",
       "2726  94da605878403d07c144fe96cd50fe20c16186dd8d171c...        1\n",
       "2727  94da605878403d07c144fe96cd50fe20c16186dd8d171c...        1\n",
       "2728  94da605878403d07c144fe96cd50fe20c16186dd8d171c...        1\n",
       "2729  94da605878403d07c144fe96cd50fe20c16186dd8d171c...        1\n",
       "\n",
       "[2730 rows x 2 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the list of the minted assets\n",
    "cardano_mainnet.assets_policy(clay_nation_policy_id,\n",
    "                              nb_of_results=None,\n",
    "                              pandas=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "### Get informations about the minted assets\n",
    "\n",
    "The Clay Nation have 10 000 assets, the request can take some time (approx. 1h, request time will be improve).  \n",
    "The raw file (no processed) with all the assets is available in the folowing folder: **src/csv_files/cnft/brut/brut_clay_nation.csv**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get the assets informations on the network\n",
    "#cn_assets_info = cardano_mainnet.assets_policy_info(clay_nation_policy_id, nb_of_results=None, pandas=True)\n",
    "#cn_assets_info.to_csv('../csv_files/cnft/brut/brut_clay_nation.csv', index=False)\n",
    "#or\n",
    "cn_assets_info = pd.read_csv('../csv_files/cnft/raw/raw_clay_nation.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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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>asset</th>\n",
       "      <th>policy_id</th>\n",
       "      <th>asset_name</th>\n",
       "      <th>fingerprint</th>\n",
       "      <th>quantity</th>\n",
       "      <th>initial_mint_tx_hash</th>\n",
       "      <th>mint_or_burn_count</th>\n",
       "      <th>name</th>\n",
       "      <th>image</th>\n",
       "      <th>body</th>\n",
       "      <th>eyes</th>\n",
       "      <th>brows</th>\n",
       "      <th>mouth</th>\n",
       "      <th>Project</th>\n",
       "      <th>clothes</th>\n",
       "      <th>background</th>\n",
       "      <th>accessories</th>\n",
       "      <th>hats and hair</th>\n",
       "      <th>metadata</th>\n",
       "      <th>wings</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c282...</td>\n",
       "      <td>40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c282...</td>\n",
       "      <td>436c61794e6174696f6e37383939</td>\n",
       "      <td>asset1xkngd3y2njd3dzhfg25rtfp66gyvke6skqftxc</td>\n",
       "      <td>1</td>\n",
       "      <td>d7e089dce7c170f1af519fab710f9ed5d4d8680978035d...</td>\n",
       "      <td>1</td>\n",
       "      <td>Clay Nation #7899</td>\n",
       "      <td>ipfs://QmdXSPVnjRMsT2LuUMW5MMAKunwjpL34WDWjSy3...</td>\n",
       "      <td>Tan Clay</td>\n",
       "      <td>Trippy Eyes</td>\n",
       "      <td>Blue Eyebrows</td>\n",
       "      <td>Grin</td>\n",
       "      <td>Clay Nation by Clay Mates</td>\n",
       "      <td>Tracksuit</td>\n",
       "      <td>Seafoam Green</td>\n",
       "      <td>Silver Chain</td>\n",
       "      <td>Clay Nation Hat &amp; Mullet</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               asset  \\\n",
       "0  40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c282...   \n",
       "\n",
       "                                           policy_id  \\\n",
       "0  40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c282...   \n",
       "\n",
       "                     asset_name                                   fingerprint  \\\n",
       "0  436c61794e6174696f6e37383939  asset1xkngd3y2njd3dzhfg25rtfp66gyvke6skqftxc   \n",
       "\n",
       "   quantity                               initial_mint_tx_hash  \\\n",
       "0         1  d7e089dce7c170f1af519fab710f9ed5d4d8680978035d...   \n",
       "\n",
       "   mint_or_burn_count               name  \\\n",
       "0                   1  Clay Nation #7899   \n",
       "\n",
       "                                               image      body         eyes  \\\n",
       "0  ipfs://QmdXSPVnjRMsT2LuUMW5MMAKunwjpL34WDWjSy3...  Tan Clay  Trippy Eyes   \n",
       "\n",
       "           brows mouth                    Project    clothes     background  \\\n",
       "0  Blue Eyebrows  Grin  Clay Nation by Clay Mates  Tracksuit  Seafoam Green   \n",
       "\n",
       "    accessories             hats and hair  metadata wings  \n",
       "0  Silver Chain  Clay Nation Hat & Mullet       NaN   NaN  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cn_assets_info.head(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Quick EDA (Exploratory Data Analysis)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of row       :  10000\n",
      "\n",
      "Number of columns   :  20\n",
      "\n",
      "Features            : \n",
      " ['asset', 'policy_id', 'asset_name', 'fingerprint', 'quantity', 'initial_mint_tx_hash', 'mint_or_burn_count', 'name', 'image', 'body', 'eyes', 'brows', 'mouth', 'Project', 'clothes', 'background', 'accessories', 'hats and hair', 'metadata', 'wings']\n",
      "\n",
      "Missing values      : \n",
      " asset                       0\n",
      "policy_id                   0\n",
      "asset_name                  0\n",
      "fingerprint                 0\n",
      "quantity                    0\n",
      "initial_mint_tx_hash        0\n",
      "mint_or_burn_count          0\n",
      "name                        0\n",
      "image                       0\n",
      "body                        0\n",
      "eyes                        0\n",
      "brows                       0\n",
      "mouth                       0\n",
      "Project                     0\n",
      "clothes                     0\n",
      "background                  0\n",
      "accessories                 0\n",
      "hats and hair               0\n",
      "metadata                10000\n",
      "wings                    9970\n",
      "dtype: int64\n",
      "\n",
      "Total missing values: 19970\n"
     ]
    }
   ],
   "source": [
    "# quick synthesis\n",
    "print('Number of row       : ', cn_assets_info.shape[0])\n",
    "print()\n",
    "print('Number of columns   : ', cn_assets_info.shape[1])\n",
    "print()\n",
    "print('Features            : \\n', cn_assets_info.columns.tolist())\n",
    "print()\n",
    "print('Missing values      : \\n', cn_assets_info.isnull().sum())\n",
    "print()\n",
    "print('Total missing values:', cn_assets_info.isnull().values.sum())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Pre Processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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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>asset</th>\n",
       "      <th>policy_id</th>\n",
       "      <th>asset_name</th>\n",
       "      <th>fingerprint</th>\n",
       "      <th>quantity</th>\n",
       "      <th>initial_mint_tx_hash</th>\n",
       "      <th>mint_or_burn_count</th>\n",
       "      <th>name</th>\n",
       "      <th>image</th>\n",
       "      <th>body</th>\n",
       "      <th>eyes</th>\n",
       "      <th>brows</th>\n",
       "      <th>mouth</th>\n",
       "      <th>Project</th>\n",
       "      <th>clothes</th>\n",
       "      <th>background</th>\n",
       "      <th>accessories</th>\n",
       "      <th>hats_and_hair</th>\n",
       "      <th>wings</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c282...</td>\n",
       "      <td>40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c282...</td>\n",
       "      <td>436c61794e6174696f6e37383939</td>\n",
       "      <td>asset1xkngd3y2njd3dzhfg25rtfp66gyvke6skqftxc</td>\n",
       "      <td>1</td>\n",
       "      <td>d7e089dce7c170f1af519fab710f9ed5d4d8680978035d...</td>\n",
       "      <td>1</td>\n",
       "      <td>Clay Nation #7899</td>\n",
       "      <td>ipfs://QmdXSPVnjRMsT2LuUMW5MMAKunwjpL34WDWjSy3...</td>\n",
       "      <td>Tan Clay</td>\n",
       "      <td>Trippy Eyes</td>\n",
       "      <td>Blue Eyebrows</td>\n",
       "      <td>Grin</td>\n",
       "      <td>Clay Nation by Clay Mates</td>\n",
       "      <td>Tracksuit</td>\n",
       "      <td>Seafoam Green</td>\n",
       "      <td>Silver Chain</td>\n",
       "      <td>Clay Nation Hat &amp; Mullet</td>\n",
       "      <td>no wings</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               asset  \\\n",
       "0  40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c282...   \n",
       "\n",
       "                                           policy_id  \\\n",
       "0  40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c282...   \n",
       "\n",
       "                     asset_name                                   fingerprint  \\\n",
       "0  436c61794e6174696f6e37383939  asset1xkngd3y2njd3dzhfg25rtfp66gyvke6skqftxc   \n",
       "\n",
       "   quantity                               initial_mint_tx_hash  \\\n",
       "0         1  d7e089dce7c170f1af519fab710f9ed5d4d8680978035d...   \n",
       "\n",
       "   mint_or_burn_count               name  \\\n",
       "0                   1  Clay Nation #7899   \n",
       "\n",
       "                                               image      body         eyes  \\\n",
       "0  ipfs://QmdXSPVnjRMsT2LuUMW5MMAKunwjpL34WDWjSy3...  Tan Clay  Trippy Eyes   \n",
       "\n",
       "           brows mouth                    Project    clothes     background  \\\n",
       "0  Blue Eyebrows  Grin  Clay Nation by Clay Mates  Tracksuit  Seafoam Green   \n",
       "\n",
       "    accessories             hats_and_hair     wings  \n",
       "0  Silver Chain  Clay Nation Hat & Mullet  no wings  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Remove the unwanted columns\n",
    "unwanted_columns = ['metadata'] \n",
    "p_cn_assets_info = cn_assets_info.copy()\n",
    "p_cn_assets_info.drop(unwanted_columns, axis=1, inplace=True)\n",
    "\n",
    "# Replace the missing value in the wings column attribute by the string 'no wings'\n",
    "p_cn_assets_info['wings'] = p_cn_assets_info['wings'].fillna('no wings')\n",
    "\n",
    "# Replace the space in the columns name by an underscore\n",
    "columns_to_replace = {col_name:col_name.replace(' ', '_') for col_name in p_cn_assets_info.columns.tolist() if '' in col_name}\n",
    "p_cn_assets_info = p_cn_assets_info.rename(columns=columns_to_replace)\n",
    "\n",
    "p_cn_assets_info.head(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Check if all the data have been replace"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total missing values: 0\n"
     ]
    }
   ],
   "source": [
    "print('Total missing values:', p_cn_assets_info.isnull().values.sum())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Saved the processed file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "p_cn_assets_info.to_csv('../csv_files/clay_nation.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Attributes Statistics And Visualization "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Bodys Attribute "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "body\n",
       "Blue Clay      498\n",
       "Brown Clay    3077\n",
       "Green Clay     549\n",
       "Tan Clay      2755\n",
       "White Clay    3121\n",
       "Name: quantity, dtype: int64"
      ]
     },
     "execution_count": 17,
     "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": [
    "sns.countplot(x=p_cn_assets_info['body'])\n",
    "p_cn_assets_info.groupby('body').count()['quantity']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Eyes attribute"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "eyes\n",
       "Ada Eyes          397\n",
       "Angry Eyes        429\n",
       "Big Eyes          847\n",
       "Big Glasses       362\n",
       "Crying eye        483\n",
       "Eye Patch         464\n",
       "Eye Sockets       391\n",
       "Glasses           441\n",
       "Laser Eyes        335\n",
       "Lazy Eye          429\n",
       "Love Glasses      383\n",
       "Normal Eyes      1114\n",
       "Red Evil Eyes     435\n",
       "Sad Eyes          473\n",
       "Small Eyes        854\n",
       "Stoned Eyes       792\n",
       "Sunglasses        466\n",
       "Third Eye         465\n",
       "Trippy Eyes       440\n",
       "Name: quantity, dtype: int64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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u5cqVtXDhwr98LAAAAMBON1S4r9xl8uzZs3rzzTdNCQQAAADcSm5op8krlShRQidPnvy7swAAAAC3nD89htswDO3fvz/PrpMAAAAA8venx3BLlzfCYUgJAAAA8Mf+1BjukydPKisrS+XKlTM1FAAAAHCruKHCfezYMb366qtKTEyUy+VS8eLFNWXKFFWoUMHsfAAAAMBN7YYmTb799tt66aWXtHPnTu3evVuvvPKK3nrrLbOzAQAAADe9GyrcZ86cUXh4uPv7yMhInTt3zrRQAAAAwK3ihgp3dna2zp8/7/7+7NmzZuUBAAAAbik3NIa7ffv2at26tZo1ayZJWrlypZ577jlTgwEAAAC3ghu6wl2vXj1JUmZmpn766SclJCSocePGpgYDAAAAbgU3dIW7T58+ateunaKiopSenq45c+aoX79++vjjj83OBwAAANzUbugK97lz5xQVFSVJKliwoJ5//nklJSWZGgwAAAC4FdzwpMmEhAT396dPn5ZhGKaFAgAAAG4VNzSk5Pnnn1dYWJjq1q0rDw8PxcfHs7U7AAAAcANuqHC3bNlSVapU0bZt2+Tp6akXX3xR9957r9nZAAAAgJveDRVuSapcubIqV65sZhYAAADglnNDY7gBAAAA/DUUbgAAAMBEFG4AAADARBRuAAAAwEQUbgAAAMBEFG4AAADARBRuAAAAwEQUbgAAAMBEFG4AAADARBRuAAAAwEQUbgAAAMBEFG4AAADARBRuAAAAwEQUbgAAAMBEFG4AAADARBRuAAAAwEQUbgAAAMBEFG4AAADARBRuAAAAwEQUbgAAAMBEFG4AAADARF52BwCcrFhRb3n7+Fp2vMyMSzqfnGnZ8QAAgPko3MB1ePv4au6nTS07XpuOqyRRuAEAuJUwpAQAAAAwEYUbAAAAMBFDSgAAgCSpaLHC8vH2tOx4GZnZSj6fatnxALtQuAEAgCTJx9tTwxf/atnx+oeXtuxYgJ0YUgIAAACYiCvcAP6024v5qKB3QcuOl56Zrt/PZ1h2PMBKtxUrLF8Lh3FcyszWBYZxAJaicAM3iaLFvOXjbd2a4BmZl5R8Pv8lCgt6F1SvhcGWZRnTMk4ShRu3Jl9vT7X6cq9lx1sQ+bAuWHY0ABKFG7hp+Hj7asIs69YE79qONcEBAPg7MIYbAAAAMBGFGwAAADARhRsAAAAwEYUbAAAAMBGFGwAAADARhRsAAAAw0T9qWcASRX3l6eNt2fGyMzJ1NvmSZce7FRQr6iNvH+s2VJGkzIx0nU9mjWcAAGCOf1Th9vTxVtLkmZYdz/+V9pIo3H+Gt09BrfukuaXHbPjScrGpCgAAMMs/qnADuPXcVqygfL19LD3mpcwMXTifbukxAQA3Lwo3gJuar7ePmsV0tfSYK8Mm6IIo3ACAG8OkSQAAAMBEXOEGgL/RbcV85ett3eTsS5mZunCeuSIA7FGiaGF5+nhadrzsjGydTU617Hh/Fwo3APyNfL291XzRe5Ydb3lET11gcjYAm3j6eCph3LeWHa9Uj2qWHevvxJASAAAAwEQUbgAAAMBEFG4AAADARBRuAAAAwES2Fe5Ro0apT58+kqSDBw8qMjJSTZs2Vf/+/ZWVlSVJOnXqlNq1a6fg4GC98sorunjxol1xAQAAgL/ElsK9detWLV682P197969NXDgQK1atUqGYWj+/PmSpLfeektt27ZVXFycqlSpog8//NCOuAAAAMBfZnnhPn/+vMaNG6cuXbpIkk6ePKlLly6pWrVqkqSIiAjFxcUpMzNTO3fuVNOmTfPcDgAAANxMLC/cgwYNUo8ePXT77bdLkhITE+Xv7+/+ub+/vxISEnTu3Dn5+fnJy8srz+0AAADAzcTSjW8WLFig0qVLKzAwUIsWLZIkGYZx1e95eHhc8/Y/q2RJvz8f9G/k73+brcfPjSzX5qQ8ZMmfk7JIzspDlpuDk+4bsuBmdjP+zVhauFesWKGkpCS1aNFCycnJSk1NlYeHh06fPu3+naSkJAUEBKhEiRJKSUlRdna2PD093bf/WWfOpMjlulze7XiAkpIu5Hs7WZyTRXJWHrLkz0lZJGfluRmyOAl/MzdHFlxbiaJF5Olj3SCF7AyXzibnv3AFfzOXFSjgcd2LvJYW7k8//dT99aJFi7Rjxw6NGDFCTz/9tHbv3q1HH31UMTExCgoKkre3t2rUqKEVK1YoJCTEfTsAAMA/madPAZ0Y85tlx7ur1x2WHetW5Yh1uMeMGaMRI0aoWbNmSktLU1RUlCRp8ODBmj9/vp566int2rVLb7zxhr1BAQAAgD/J0ivcuUVERCgiIkKSVLlyZS1cuPCq3ylTpoxmzJhhdTQAAGCzYsWKyNvbuuuCmZkunT/Pfh8wh22FGwAA4Fq8vQsoZsHpP/7Fv0lYq39Zdiz88zhiSAkAAABwq+IKNwDAdLcVKyRfb+teci5lZunC+TTLjgcA10PhBgCYztfbS08vuHqujlmWtWop5y0cBuCfiiElAAAAgIko3AAAAICJKNwAAACAiSjcAAAAgIko3AAAAICJWKUEAADgOooXLSIvH2uvUWZluHQumZ0vbxUUbgAAgOvw8imgHZ8mWnrMmh0DLD0ezMWQEgAAAMBEFG4AAADARBRuAAAAwEQUbgAAAMBEFG4AAADARBRuAAAAwEQUbgAAAMBEFG4AAADARBRuAAAAwETsNAkAAICbXomiheTpY121zc7I0tnktBv6XQo3AAAAbnqePl5KnLDGsuMFdG18w7/LkBIAAADARBRuAAAAwEQUbgAAAMBEFG4AAADARBRuAAAAwEQUbgAAAMBEFG4AAADARBRuAAAAwEQUbgAAAMBEFG4AAADARBRuAAAAwEQUbgAAAMBEFG4AAADARBRuAAAAwEQUbgAAAMBEFG4AAADARBRuAAAAwEQUbgAAAMBEFG4AAADARBRuAAAAwEQUbgAAAMBEFG4AAADARBRuAAAAwEQUbgAAAMBEFG4AAADARBRuAAAAwEQUbgAAAMBEFG4AAADARBRuAAAAwEQUbgAAAMBEFG4AAADARBRuAAAAwEQUbgAAAMBEFG4AAADARBRuAAAAwEQUbgAAAMBEFG4AAADARBRuAAAAwEQUbgAAAMBEFG4AAADARBRuAAAAwEQUbgAAAMBEFG4AAADARBRuAAAAwES2FO6JEyeqefPmat68ud59911JUnx8vEJCQtSkSRONGzfO/bsHDx5UZGSkmjZtqv79+ysrK8uOyAAAAMBfYnnhjo+P1+bNm7V48WLFxMTowIEDWrZsmfr166cPP/xQK1as0P79+7Vx40ZJUu/evTVw4ECtWrVKhmFo/vz5VkcGAAAA/jLLC7e/v7/69OkjHx8feXt7q0KFCjp69KjKlSunsmXLysvLSyEhIYqLi9PJkyd16dIlVatWTZIUERGhuLg4qyMDAAAAf5nlhbtSpUruAn306FGtWLFCHh4e8vf3d/9OQECAEhISlJiYmOd2f39/JSQkWB0ZAAAA+Mu87Drw4cOH9fLLLys6OlpeXl76+eef8/zcw8NDhmFc9b/z8PD4U8cpWdLv/5Tz/8rf/zZbj58bWa7NSXnIkj8nZZGclYcs+XNSFslZeciSPydlkZyVhyz5u9EsthTu3bt3q1u3burXr5+aN2+uHTt26PTp0+6fJyYmKiAgQKVKlcpze1JSkgICAv7Usc6cSZHLdbm42/EAJSVdyPd2sjgni+SsPGTJn5OySM7KQ5b8OSmL5Kw8ZMmfk7JIzspDlvzlZClQwOO6F3ktH1Ly66+/6rXXXtOYMWPUvHlzSVLVqlX1888/69ixY8rOztayZcsUFBSkMmXKqGDBgtq9e7ckKSYmRkFBQVZHBgAAAP4yy69wT5s2Tenp6Ro5cqT7tjZt2mjkyJHq2rWr0tPTVa9ePQUHB0uSxowZowEDBujixYt64IEHFBUVZXVkAAAA4C+zvHAPGDBAAwYMyPdnsbGxV91WuXJlLVy40OxYAAAAgCnYaRIAAAAwEYUbAAAAMBGFGwAAADARhRsAAAAwEYUbAAAAMBGFGwAAADARhRsAAAAwEYUbAAAAMBGFGwAAADARhRsAAAAwEYUbAAAAMBGFGwAAADARhRsAAAAwEYUbAAAAMBGFGwAAADARhRsAAAAwEYUbAAAAMBGFGwAAADARhRsAAAAwEYUbAAAAMBGFGwAAADARhRsAAAAwEYUbAAAAMBGFGwAAADARhRsAAAAwEYUbAAAAMBGFGwAAADARhRsAAAAwEYUbAAAAMBGFGwAAADARhRsAAAAwEYUbAAAAMBGFGwAAADARhRsAAAAwEYUbAAAAMBGFGwAAADARhRsAAAAwEYUbAAAAMBGFGwAAADARhRsAAAAwEYUbAAAAMBGFGwAAADARhRsAAAAwEYUbAAAAMBGFGwAAADARhRsAAAAwEYUbAAAAMBGFGwAAADARhRsAAAAwEYUbAAAAMBGFGwAAADARhRsAAAAwEYUbAAAAMBGFGwAAADARhRsAAAAwEYUbAAAAMBGFGwAAADARhRsAAAAwEYUbAAAAMBGFGwAAADARhRsAAAAwEYUbAAAAMBGFGwAAADARhRsAAAAwEYUbAAAAMNFNUbiXLl2qp556So0bN9asWbPsjgMAAADcMC+7A/yRhIQEjRs3TosWLZKPj4/atGmjWrVqqWLFinZHAwAAAP6Q469wx8fHq3bt2ipWrJgKFy6spk2bKi4uzu5YAAAAwA1x/BXuxMRE+fv7u78PCAjQ3r17b/h/X6CAR97vbyvyt2X7K8fPzfO2ohYmuX4W79sCLExy/Sy+ftZmka6fp4hfKQuTXD/LbUWck6V4YedkCShcwsIkl10/z+0WJvmjLH4WJvmjLIUtTPJHWXwtTHLZ9fL4F/a2MMn1sxQt7GlhkutnKVzY2uuC18vi42f9NcrrdojbnfM4Fbjdx8Ikf5DlNmuf2zlZrpdJkjwMwzCsCPRXffTRR0pLS1OPHj0kSQsWLNC+ffv09ttv25wMAAAA+GOOH1JSqlQpnT592v19YmKiAgKsvwIKAAAA/BWOL9yPP/64tm7dqrNnzyotLU2rV69WUFCQ3bEAAACAG+L4MdylSpVSjx49FBUVpczMTLVs2VIPP/yw3bEAAACAG+L4MdwAAADAzczxQ0oAAACAmxmFGwAAADARhRsAAAAwEYUbAAAAMBGFGwAAADARhfsPpKSk6PDhw3bHwE0gNTVVhw4dkmEYSk1NtTsOAJgqMTFRkrRr1y7NmjWL814+UlJS7I7A4/QHrOp5FO58LFiwQH379tXZs2f11FNPqVu3bho3bpwtWY4fP67Y2FgZhqGBAwcqMjJSu3btsiVLRkaGDh06JElaunSpRo0a5X4iO4GdJ7atW7eqRYsWevXVV5WUlKQGDRpo8+bNtmTJzMzUxo0bFRMTk+efE9j9BtZJzydJ2r17t+bMmaOMjAzt3LnTthxOul+clMWJ57ylS5dq3LhxSktLs/V5PXjwYE2ePFlHjhxRz549deDAAUVHR9uSxUmP04YNGzR69GhdvHhRzZo1U8OGDTVr1ixbskjOepzOnz+v+Ph4SdKUKVPUrVs3HTlyxJYsdvQ8Cnc+5syZo+joaC1btkwNGzbU0qVLtWnTJluy9O3bV97e3lq3bp2OHj2qvn376t1337UlS+/evbVq1Sp99913mjBhgvz8/NSnTx9bskjOOrGNHTtWs2fP1u23366AgADNnDnTtsepe/fumjhxorZt26bt27e7/9nFSW9gnfR8+vzzz/X+++/rs88+08WLFzVo0CBNmzbNlixOul+clMVp57wxY8Zo48aNWr16tbKzs/Xll19q5MiRtmTZt2+fBg0apJUrV6ply5Z65513dOrUKVuyOOlxmjhxoiIiIrRixQo9/PDDWr9+vb788ktbskjOepx69uypn376SfHx8YqLi1ODBg00ePBgW7LY0fMo3NdQrFgxbdy4UU8++aS8vLyUnp5uS4709HQ1a9ZMGzZsUEhIiGrUqKGsrCxbspw4cULdu3fXqlWr1LJlS7322mtKTk62JYvkrBOby+WSv7+/+/uKFSvakkOSfvrpJy1YsEAjR47UiBEj3P/s4qQ3sE56Pi1evFjTpk1ToUKFVLx4cS1cuNC2v18n3S9OyuK0c97mzZs1evRoFSxYUH5+fvr000/19ddf25IlOztbLpdL69atU1BQkNLS0pSWlmZLFqc9ThUqVNBXX32lBg0aqEiRIsrMzLQti5Mep+TkZLVv317r1q1TeHi4wsLCbMsiWd/zKNz5qFixol5++WWdOHFCgYGB6t69ux566CFbsnh6emrVqlX66quv9OSTT2rt2rUqUMCehy07O1tnz57VunXr9OSTTyopKUmXLl2yJUsOp5zY7rjjDm3YsEEeHh76/fffNXnyZN155522ZLn77rttu4JxLU55A+uk51OBAgXk4+Pj/r5gwYLy9PS0JYuT7hcnZXHaOS/nfvDw8JB0eSiFXfdNWFiY6tSpozJlyqhq1aqKiIhQ69atbcnipMfpX//6l4YOHar9+/erbt26GjlypG2vBZKzHieXy6X9+/dr7dq1ql+/vg4ePKjs7GxbstjS8wxcJTMz09ixY4dx/vx5wzAMY926dUZmZqYtWQ4dOmT06dPHWLVqlWEYhvHGG28YBw8etCVLbGys0bBhQ2P48OGGYRhGkyZNjOXLl9uSxTAMo3Pnzsbbb79tBAUFGRcvXjRGjBhhdO7c2ZYsp0+fNnr06GHUqlXLqFmzptG1a1cjISHB0gzt27c3OnToYDRv3tyoXr260bZtW6NDhw7u2+3Su3dvo3PnzkaTJk2M9PR0o1u3bkZ0dLQtWZz0fBoxYoQxcuRIo0mTJsaaNWuMl156yRg2bJgtWZx0vzgpi9POeVOmTDG6detm1K9f3/j000+N8PBwY/LkybblycrKcn995swZ23IsXbrUMY/ThQsXjMWLFxvHjh0zDMMwZs6caVy4cMGWLDmc8jjFx8cbHTp0MD777DPDMAyjVatWxtatW23JYkfP8zAMwzC30t98MjIyNG3aNB09elQDBw7UZ599ps6dO+e5GmWlX375RT/++KPq1q2rU6dOqWzZsrbkyJGcnKyiRYsqKytLXl5etuVISUnR2rVrVb16dd19992aNWuWWrRoIT8/P8uzrFy5Uo0aNZK3t7flx86xY8eO6/68Zs2aFiXJKysrS3v27NG9996rokWLav369QoKCrLtb8cpzyeXy6X58+crPj5eLpdLtWvXVps2bf7x94vTskjOOedJ0qZNm/L8zdSvX9+WHCdPntSAAQN08uRJzZw5U7169dI777yju+66y/IsW7Zs0RNPPOH+Pjs7W+vWrVOTJk0szyJJsbGx+vHHH9WlSxetWrVKYWFhtuSQnPU4SdLFixf1yy+/6L777lNaWpoKFy5sSw47eh5DSvLx9ttvKy0tTQcOHJCnp6eOHz+u/v3725JlxYoVevXVVzV8+HCdP39ebdq00ZIlS2zJcujQIQUHB6tFixZKSEhQs2bNdODAAVuySJKfn58KFCigL7/8UmlpaSpSpIgtZVuSvv76azVt2lRvvfWW9u7da0uGmjVrqmbNmipXrpw2btyomjVrqnTp0lq4cKHuueceWzJJl4vlrl279M477yglJUXff/+9XC6XLVmc9HwaOnSoHnjgAX3wwQeaOHGi2rdvb1uZc9L94qQsTjvnde7cWSkpKfrPf/6jvn372la2JWnQoEF68cUXVbhwYfn7++vpp5+2fPWLFStWKCYmRgMHDsyzItPixYs1evRoS7PkGDNmjL7++mtHTGyVnPE45di6davCwsLcq3k1bNjQttW87Oh5FO58HDhwQP/5z3/k5eWlQoUKadSoUTp48KAtWT7++GPNmTNHRYoUUcmSJbV48WJNnTrVlixDhw7VpEmTVKxYMZUqVUpDhgyxbYax5KwT24gRI7Rs2TJVq1ZNEyZMUEREhKZNm6YzZ85YnqVXr17uK4KlSpVSjRo19Oabb1qeI4eT3sA66flUtWpVvffeewoJCdEnn3yipKQkW3JIzrpfnJTFaee8Tp06adOmTba/uZekc+fOqU6dOpIujyl/5plnLF+aNSUlRdu3b9fFixfzrMj07bffqkePHpZmyeGkia2SMx6nHFeu5jVjxgzbViCyo+fZ+9mYQ3l4eCgjI8M9MeXcuXPur61WoECBPFdtAwICbJskk5aWpgoVKri/f+KJJzRq1ChbskiXT2yLFy9WeHi4+8QWGhpq23JQhQsXVpkyZVS6dGkdO3ZMP/zwg55//nm1bt1a7du3tyxHcnKy2rRpI0ny8fHRM888ozlz5lh2/CsdOHBAixcv1tdff+0+sYWEhNiSxUnPp7CwMIWFhenXX3/VsmXL1KZNG1WsWFGtWrVSo0aNLM3ipPvFSVmcds577LHH9Nhjj+nSpUuKi4tT165dddttt6lly5Zq27atpcMefX199dtvv7lfG3ft2mX5sMtnnnlGzzzzjLZu3arAwEBLj30tTprYKjnjccrhpNW87Oh5FO58REVFqWPHjkpKStLw4cO1du1avfbaa7ZkqVSpkmbOnKmsrCwdPHhQs2fPVuXKlW3JUqxYMR06dMj9RxkbG6uiRYvakkVy1olt3LhxWrZsme666y5FRkaqf//+KliwoFJSUtSwYUNLC7evr682btyoevXqSbr8MV6hQoUsO/6VnPQG1knPJ+nyWOXY2FgtX75c5cqVU+PGjbVy5UqtXr3a0is/TrpfnJTFaec8Sdq+fbuWLFmiLVu2KCgoSE899ZTi4+P1yiuvWLqOe9++ffXyyy/r+PHjatGihZKTkzV+/HjLjp9b2bJl1bFjR508eVKzZs1Sz549bRunHBwcrDfeeEPJycn67LPPtGTJEj399NOW58jhpMfpytW8Zs2aZdsKLnb0PCZNXsORI0e0fft2ZWdnq2bNmrad8FNTUzV58uQ8k2Ree+01W8YqHz9+XNHR0dq3b598fX1Vrlw5jRkzRuXLl7c8iyRNnTpVBw4c0L59+xQVFaUlS5aoadOm6tKli+VZxo8fr4iIiHwnd+3du1cPP/ywZVkOHTqkXr16uYcolC5dWqNHj1alSpUsy5BbTEyMFixYoGPHjqlZs2buE1vLli0tz+Kk51ObNm105swZhYWFKTw83P3Ck5WVpaCgIPeObFZw0v3ipCxOO+fVr1/f/aY+ODhYvr6+ki5fOYyMjNTixYsty5KUlKRixYrp6NGjys7O1j333GPbldMXX3xRHTt21JgxY7R48WItWLBAS5YssW0jtNwTWwMDA/Xkk0/akkNy1uN05swZDR8+XPHx8TIMQ7Vq1dKAAQMUEBBgSx6rex6FOx9PP/20wsLC1KJFizwff9jhk08+cUQO6X/FMTU1VS6Xy7YJirk56cS2dOlSHTlyxPaZ6YcPH1alSpV07tw5eXt7y8/PT99++62qVatmSx4p74mtVq1auu+++2zJ4aTnk5M+BnfS/SJd/rTKx8dHR48e1dGjRxUUFGTLp1dOO+cdP35cd999t60ZcjRt2lTlypVTeHi47Ss0RUREaNGiRQoLC3Nvd9+iRQtbJttmZGTop59+UuXKlRUbG6uDBw+qY8eOtpVKJz1OTljNK4cdPY9Jk/mYMmWK0tPTFRUVpc6dOysuLs62DVUuXbqk9u3bq3Pnzlq5cqWtO1aNGTNGISEhmj17tq27Q+XIyMiQv7+/oqOj9eCDD2r79u1KTEy0JYsTtlzevXu3du7cqddff127du3SkSNHdPDgQW3dutW2WemSdP78eSUmJqpdu3ZKTU3VpEmTdOTIEVuyOOH59P7770uSAgMDtWXLljw/6969u+V5JGfcLzkmTpyoAQMG6NSpU2rfvr0+//xzDRo0yJYsTjnn9evXT9LlTa2uvIr97LPP2hFJq1atUqdOnbR582YFBwfr7bff1r59+2zJ4qRxyjnbzO/du1eTJk2ydZt5yVmPkxNW88phR8/jCvcfWLNmjYYNG6ZLly4pNDRUr776qooXL255jl27dmnZsmXasWOHateurVatWun++++3PMfJkye1ZMkSxcXFqXTp0goPD1fDhg1tecfavXt33XPPPapfv7569+6t0NBQ7d69W9OnT7c8S1hYmHsCZ0xMjLKyshQaGqoVK1ZYlmHChAnasWOH9u/frypVqrhv9/LyUt26dfXCCy9YliW3F198UfXr11eFChU0evRoRUVFacGCBbZ93CvZ+3wKDw93l6bcX0vKc4XODk44z0RERGju3Ln67LPPdP78eb355pvuK5h2cMI5z8l/M+np6Vq5cqXGjRsnDw8PlShRQoMGDbL0E7W9e/dq4MCB7k8AcsYpV61a1bIMOSIjI/Xll1/q3XffVbFixdS5c2f3bXZywuMkXR4ytmbNGi1btkxnzpxR8+bNFRYWppIlS1qaIzereh6TJvNx8eJFrVq1SkuWLFFCQoKeffZZNW/eXF9//bVefPFFy0/8aWlpOnHihH755RcVKFBARYsW1fDhw/XII4+oZ8+elmYpU6aMwsLC5OXlpblz52rGjBkaN26cevXqpcaNG1ua5cSJExo/frzeffddRUZGuk9sdnDCBM6uXbtKujxm2s6NFq6UnJys9u3ba+jQoe6VOb744gvb8tj9fMp9jePK6x12TSaV7L9fcrhcLvn4+GjDhg1644035HK5bL267IRznhP/ZuLj47VkyRLFx8erXr16GjdunKpXr64ffvhBnTp1snQpvIceekgLFy7MM0753Llzlh0/t9zbzE+YMMHWbeYlZz1OknNW87Kj51G489GwYUPVr19fr7/+uh577DH37W3btrV0IpMk9ezZU9u3b1dQUJBeeeUV1ahRQ9LlQlenTh1LXwhzJqIkJSUpLCxMs2fP1h133KGEhASFh4dbXriddGK7cmZ6bGysbTPTH374YQ0bNkypqakyDEMul0snTpyw7Yqyy+XS/v37tXbtWs2cOVMHDx5Udna2LVmc9HyS7C3YuTnpfgkMDNTTTz8tX19fPfbYY2rfvr0aNGhg2fFzc8o5L/ffiVP+ZiZNmqTIyEgNGTIkzypI9913n+WfpvXq1UtjxoxxTwyfOXOmPvzwQ8tfr6XLn+g988wzatCgge699141bdrUtqFikrMeJyet5mVLzzN14/ibVEpKylW3XbhwwYYkhrFgwQLj4sWL+f4sMTHR0iy9e/c2tm3blu/P4uLiLM1iGIYRGxtrNGzY0Bg+fLhhGIbRpEkTY/ny5ZbnyPH1118bI0eONN555x1j/fr1tuUIDQ01xo8fb4SFhRmff/658eKLLxqDBw+2LU98fLzRoUMH47PPPjMMwzBatWplbN261ZYsTng+hYWF5ft1ft9bxQn3S24nT540srKyDMMwjIMHD1p+/BxOOec1b97cOHXqlHHixAn31ydPnjROnjxpNG/e3LIchmEYv/322zV/Fh8fb2GS/xk+fLjRvXt348CBA8YzzzxjPP/888bPP/9sS5bcLly4YPz3v/+15dhOfJzef/994/jx4/n+7LvvvrM0ix09j8Kdy4svvuj++qOPPsrzM6tfCGfNmuX++son7LBhwyzNcr0nQkxMjIVJrs3OE5vTPP3004ZhGMZ7771n7Ny500hPTzfCw8NtzZSenm4YhmEcPXrU2LBhg5GdnW3p8Z30fLrvvvuMypUrG5UrV873ays56X7J8d133xnTp0830tPTjY4dOxq1atWy/A2908559evXNxo0aGDUr1//qn8NGjSwNEvu18LXX3/9mj+z2oQJE4z777/fWLhwoW0ZDMMw5s+fb/Tp08c4c+aMUbduXSM4ONgYO3as5Tmc9DitWbPG/fX58+fz/Gzq1KmWZrGz57FKSS6nT592fx0XF5fnZ4bFc0sXLFjg/vrKbbl37dplaZbcWxm3bt06z88+++wzS7PktmDBAvXt21dnz57VU089pW7dumncuHG25XGKQoUKKSMjQ//+97914MAB+fj4KD093bY8kyZNcq860a5dO1tWnXDS8+nQoUM6ePCgDh48mO/XVnLS/ZJj2LBhqlKlilatWiVfX19btnZ32jlv/fr1WrdundavX3/Vv3Xr1lmaJfdr4S+//HLNn1mhb9++7n8nT55U8eLFNX/+fPdtdpgzZ46io6O1bNkyNWzYUEuXLtWmTZssz+Gkx2nSpEnur59//vk8P7NyYQHJ3p7HGO5cco+Nu/KOt3rcnHGdSTJWy338K4ubndnmzJmj6dOnKzY2Vg0bNlT//v31zDPPqEePHrZlcoLQ0FB16dJFY8aMUevWrbVp0yaVKlXKtjzr1q1zrzoRGhrqXnXCSk56PjmJE+8Xl8ulxx57TD179lSTJk1UunRpy8f8O/Wc5wTXG09u9etkzZo1r/u9XYoVK6aNGzcqKipKXl5etlzwcNLjdL3zjNXPJzt7HoX7GpwyMUWyP4uTnrhXcsKJTZJ27tyZ53sPDw8VLFhQ5cqV0+23325plvbt2yssLEx+fn6aMWOG9u3bpyeeeMLSDLk5bdUJu/9mncop90uhQoU0ffp0bdu2TYMGDdLnn3+uIkWKWJrByec8/E94eLgkKSUlRUuWLFG7du2UkJCguXPnqnPnzrZkqlixol5++WWdOHFCgYGB6t69e55lWv/pnPR8svrYFO5cLl68qF27dsnlcik1NTVPiUpNTbU0Cyf1P+akE9ukSZO0f/9+BQYGyjAM7dixQ2XKlFFKSoq6d+9uyYolqamp+uCDD3T06FFVr15dzz//vO644w7dcccdph/7evJbdaJ+/fqWZuD5lD8n3i9jxozRggULNGHCBBUtWlSJiYkaO3as3bHw/yUlJWnixIlXfZ3zvR169erl3r22SJEicrlcevPNNzVhwgTLs7zzzjvas2ePKlWqJB8fH7Vo0UL16tWzPIeTHicnnWfs7HlsfJNLhw4drvvzGTNmWJREqlKlinsYQEJCgvtrwzCUlJRk6U5RtWrVci/LtX79+jxLdK1fv17bt2+3LEtuWVlZ7hNbsWLFtH79etWrV0+enp6WZ3nuuec0YsQI3XnnnZIuP2b9+vXT+PHj1aFDh6t2hzND9+7d5eXlpRo1amjt2rUqX768BgwYYPpxb8SpU6dUqlQpeXp66uDBg5ZvpuKk51MOO7YWvpIT7xdJ+v77793LWmZnZ+vEiRNq2bKlZcd32jkvd1nKz+uvv25REmdlyREaGqrY2Ng8t9m1tfuZM2e0dOlSXbx4Mc+yrO+++66lOZz0OD3yyCN66KGHJEn79u1zf20Yhg4cOKBvvvnGsix29jyucOdiZaH+I6tWrbI7glvubWmdNGYuOTlZBw4c0I4dO9wntri4OMtPbJKUmJjoLtuSVKpUKSUmJsrPz8+yMWqHDx92T0Bp0aLFVZO97PLTTz9p9uzZtq4L7qTnU44pU6YoJiZGUVFRKlu2rCIiIizfwdCJ90t0dLT27Nmj5ORk3XPPPTp06JCqV69uaeF26jlv7969+u233xQcHCwvLy+tWbNGZcqUsTSDHYX6j3h4eOiHH35wX+X+8ccf5eVlT715/fXXdffdd+vbb79Vo0aNtGXLFlWuXNmWHE4xZcoUuyO42dnzKNwOZfVJ9Hpyxsk5jVNObJJUvXp19ezZUyEhIXK5XFq+fLkeeeQRffXVVypcuLAlGQoWLOj+unDhwrZc6c9Pjx491LBhQ+3evVvh4eH6+uuv3RtUWMVJz6ccZcqU0WuvvabXXnvNvbXw4MGDTd1aOL8MTrNz506tWrVKQ4cOVVRUlAzD0Ntvv21pBqed83LKU5s2bTRv3jz3BibPPfecoqKi7IzmCNHR0XrhhRfcn9CcO3dOo0ePtiXLuXPnNGfOHI0aNUpNmjRRly5drlqZ45/GKZNZ7Ubhxk3LSSe2t956S3PmzNG8efPk6empxx9/XM8884y2bNliyxV3yTnj5lwul7p166asrCw98MADatOmjdq0aWN3LNvZsbXwzSAgIEDe3t6qUKGCfvjhBzVv3lwXL160O5YjnDt3Ls/zOjMzU+fPn7cvkEM8/vjj2rBhg/773//K29tb5cuXl4+Pjy1ZihYtKkkqX768Dh06pKpVqyorK8uWLHAWCnc+kpKSbBtTiRvnpBObl5eXwsPD1ahRI/cQksTEREsnyxw9ejTP1a4rv//iiy8sy5LbleuC16hRw9Z1wZ3Clq2FbwKlSpXSlClTFBgY6L5KafWkdadq1aqVIiMjFRQUJMMwtGHDBj333HN2x7Ld2bNn9fbbb2vr1q3Kzs5W7dq1NWTIEP3rX/+yPEvt2rXVrVs391X3AwcO5Pn00QkuXbokX19fu2PY6quvvtKTTz5p6TGZNJmPpk2bqly5cu4CZeWYyis5abk5pxk3bpx+/vln94mtVq1aOnTokObPn295lo8++khTp05VsWLF5OHhIcMw5OHhYemmFDt27Ljuz+36WG/mzJlav369e13wcuXKyeVyafr06ZZluPJ5dKXchdcqu3btUo0aNfLctnLlSjVr1syyDE68X1JSUrRx40Y1b95cM2bMUHx8vJ577jnVrl3b8ixOc/bsWZ06dUo7duyQh4eHAgMDLR9G16BBg+t+emb1RjzS5SE3jzzyiFq3bi3DMDR37lzt2rXLtrHDx48f1913360DBw5o586deuqppxQQEGBLllWrVmnixIlKS0tzz6FJS0vTtm3bLM/y1ltvKTw8XA8//LDlx75S8+bNtXz5ckuPSeG+hl27dmnx4sXatm2b6tWrp/DwcPfMWis9//zzti83V7lyZfcJNr+F4q3eHS83p5zYGjVqpPnz56tEiRKWH/tmkJKSIj8/P/3222/at2+f6tSp4x6HaoXrzUz38PCw5er//fffr3bt2qlv377u8fbh4eGWrGiTI+d+OX/+vI4fP67q1aurQIEC2rNnj+69917NnTvXsiynTp267s9zT0o2W845L7+XRzvPec2aNdPKlSttOXaOkydPyjAMTZo0yT3Z19PTU0uXLtWJEycs30VWyn9FkpCQEC1dutSyDDExMdf9eVhYmCU5rtSoUSMNGzZMn376qbp06aLNmzfr3LlztjxOMTExWrx4sc6ePasWLVrYukJTly5dVLx4cVWtWjXP1X4zHyeGlFxDjRo19NBDD2nlypUaN26c1q9frxIlSmjQoEGqVq2aZTkMw1BsbOxVy83NmDFDHTp0sKRwHzp0yPRj/BlXnthylhQqVqyY4uPjbTmxlS5d2j3EBZddb1mqH374wdJZ9E5agShHxYoV5eHhoeeee04ffPCBSpQoYfmuazn3S6dOnTRx4kSVK1dO0uVSZfULcvv27a9bcq28cuq0c16OypUrKyYmRg8//HCekmDlm5GcibY//PCDRowY4b79hRdesHwH2RweHh769ddfVbp0aUmX37xZvUrJHy0VaVfhvv3221W7dm198803unDhgrp27Wrb4xQWFqawsDD9+uuvWrZsmdq0aaOKFSuqVatWatSokaVZcialf/fdd1dlNAuFOx/x8fFasmSJ4uPjVa9ePY0bN07Vq1fXDz/8oE6dOunrr7+2LIsTlpvL4ZT1RZ14Yvv3v/+ttm3bqlatWnkm6zhpaaZ/soEDB2ro0KHq0KFDvh+H23GF28vLS/3799fChQvVpk0bjR071ralzE6dOuUu29LlAvdHV5z/buvXr7f0eNfjpDWMc/vuu++uKghWvxnJbdu2be6hPhs3brRtZaTu3burdevWqlq1qgzD0HfffaehQ4damiH3mw8n8fX11c8//6wKFSpox44dql27ti5cuGBbnl9++UWxsbFavny5ypUrp8aNG2vlypVavXq1pV0i5/FKTk627GIZhTsfkyZNUsuWLTVkyJA8H3vfd999euGFFyzN8sgjj9i+3FwOpyzDN2LECM2aNUsBAQFq3LixWrZsqbNnz8rLy0sff/yx5Xmky2+EcpakcoITJ07oyJEjqlu3rk6dOqWyZctansFJbzZy1iTv2rWrzUn+J+cNc8uWLXXPPfeoe/futk0OfPDBBxUdHa1mzZrJ5XJp2bJlV40vt8J///tfZWdn6/7779c777yjCxcuyMvLS9HR0fLz87M8j9M46U3JsGHDFB0draSkJBmGoTJlyti2IlP9+vVVtWpV7d27Vy6XS2+99ZZKlixpeY7Zs2fL399fjRs3VqtWrXT27Fl5enrqk08+0d133215Hkl644039P7772v06NGaOnWq5s2bZ+ma9rm1adNGZ86cUVhYmD755BP3xcSwsDAFBQVZmuXQoUN64403dOnSJc2bN0/t27fX+++/rwcffNC0YzKG+xoOHjyobdu2ydPTU0888YQqVKhgS46srCzNnTtXW7ZsuWq5uQoVKuiuu+6yLEtwcLDi4uI0atQoBQcH65577tHzzz+vL7/80rIMkjR16lRt3bpVgwYNUvny5RUaGqrJkydrw4YN+v777/XOO+9YmsdpVqxYocmTJystLU3z5s1TaGio3nzzTbVo0cKWPPXq1VNiYqJ7ku/vv/+u22+/XXfddZeGDRtm6a6Tr7zyilq0aKEGDRrYtmxYjlWrVqlp06bu73/77Td9+OGHlq85LUkZGRmaOXOme+Lt448/rrZt21p6xX39+vUaNmyYhgwZoqCgIAUHB+vll1/W9u3bdccdd+iNN96wLMu1GIahEydOWP4GdsKECeratav69u2b78/tvLqas1RhsWLFbDn+Dz/8oBIlSsjf31979+7VkiVL9MADDygyMtLSHFOmTNHWrVs1ePBglS9fXiEhIfroo48c97pk5RXdK61bt04NGza05dhXateund5++2317NlTMTEx2rJli8aNG6eFCxeadkyucOdj+vTpmjt3rho0aCCXy6UuXbqoS5culj6Bc5YmTExMVIMGDfJsLWz1cnM5nLIM3+LFi7Vw4UIVKVJEklSgQAGVKVNGbdu2VUhIiKVZcia55Z5YKsm9Sokdk6s+/vhjzZkzR+3bt1fJkiW1ePFidezY0bbC/dhjjyk4ONg9Rm/jxo2Ki4tThw4d9NZbb1k6Ma9169ZatmyZRowYoTp16ig0NFS1atWy7Pi51a9fX2vWrHGvMZ2dnW3LVTlJ8vHxUZMmTXTPPfeoTp06+vXXXy0f3jJx4kRNmzZN5cuXl3T5o/Dw8HA1btxYbdu2taVwz5w5U2PHjlVaWpr7trvuuktr1qyxNEfOVTcnbSCya9cuTZs2Lc8OsqdOnbL0KnxMTIw++OADjR8/XpcuXXJvBPT111/rt99+02uvvWZpltyvS56enra9Lkm65vC5HHYMoxs7dqxjCndaWlqeC6lPPPGERo0aZeoxKdz5mDdvnhYtWuT+CPO1117Ts88+a2nhHjBggKZMmZLvRCK7xuw5ZX1RT09P90lNunzVUrpcvK2+apmzosTevXttv2Kao0CBAnk+fg8ICFCBAgVsy3P48GGNGTPG/X29evU0fvx4PfDAA5avx/3kk0/qySef1KVLl/TVV19p1KhROnfunDZs2GBpDunykJu0tDQdP35cNWrU0M6dOy2dkJ1bzqcily5d0ty5c9WmTRvLPxVJT093l21Jqlu3riTJz8/PtrHB06dP15IlS/T++++rR48e2rFjh7Zs2WJ5jpwLLuHh4UpNTVVycrLlc3iuNGDAAHXq1EmLFy9Whw4d9PXXX+uBBx6wNMPnn3+uhQsXqkSJEpo4caJq1aqlHj16KCsrSy1atLC0cDvpdUn63/C5+fPny9fXV2FhYfLy8tKyZcts2wehbNmy6tu3r6Urg1xLsWLFdOjQIfebktjYWNOv/FO481G0aNE8V3cKFy6c54lkhZz1Q500Zq9Hjx46fvy4ypQpo7Fjx2rnzp22jNN1uVzuZeYkuT+Wt3MiSJMmTVS/fn1FRETYsnxkbpUqVdLMmTOVlZWlgwcPavbs2bZteS9dniU/d+5chYaGyuVyaenSpSpatKh+/PFHuVwuy/McOXJEy5cvV1xcnEqXLm3b1tg///yzVq9ereHDhysyMlJvvvmmunfvbksWJ3wqkpmZ6f5kSJJ69uwp6fKwuszMTMty5FayZEmVLVtW9913n/773/8qIiJCM2fOtCWL9L9PAYoXL27bev85fH19FRkZqZMnT+r222/XsGHDLF/9wuVyuZdi3b59u5566ilJsmXysdNel3I+DRk1alSeYZ/VqlWzbZUSO1YGuZYhQ4YoOjpahw8f1qOPPqp///vf7o22zELhzkfZsmXVunVrNW/eXF5eXlqzZo38/PzcM9etKpk//vijbr/9dvn7+2vq1Kn65ptvVKVKFb300ku27BKVkZGhI0eO2L4MX0hIiKKjozVq1Cj3ye3ixYvq16+fQkNDLc2SY+XKlVq1apXee+8996SQ0NBQW9YYHTRokCZPnqyCBQuqX79+ql27tqKjoy3PkWPMmDEaPny4Ro8e7Z4TMWrUKK1atcpdqqwSEhIiT09PtWjRQp9//rltm1FIl8uch4eHypcvrx9++EFhYWHKyMiwJYsTPhWpWbOmPvroI/eVwRzTpk2zbShFoUKFtG3bNt13331au3atHnroIf3++++2ZJGkRYsWaf369e7iYqeCBQvq/PnzKl++vL777jsFBgZaPunXw8NDGRkZSk1N1Z49e9zjpM+dO6fs7GxLszjxdUm6/MnRzz//7P706NChQ7btyOyklVzuvvtuzZkzR6mpqe4LP2ZPzGbSZD6csCTURx99pLlz58rT01M1a9bUiRMn1LhxY+3YsUOFChUy/Z1Yfp577jn3bPTcrH4SZWdna8iQIVq2bJkqVKggDw8PHTlyRC1atNCQIUMszZKfNWvWaNiwYfr9998VGBio6OjoPEuume2TTz6xdUMBJ/vhhx9033332R1D0uWlCn18fPTss8+qV69eeuqpp7R06VJLN+vI0adPH1WpUkVz587V6NGjNXv2bF26dMnS88y5c+cUFRWlQoUKqUaNGvLw8NDu3buVnp6uL774QrfddptlWXIcPnxYCxYsUJ8+fdS9e3fFx8era9euev755y3PIl1e5WHmzJm2LR+Z28qVKzV//nxNmDBBLVu2lKenpypXrqz33nvPsgyzZs1yT3K78847NWnSJG3dulXjxo1TcHCwpauKOfV1afPmzerTp49KlSolwzB05swZvffee7asQtSkSZM8b4Q8PDzk6+ure+65R9HR0Vd1CzNt2LBBu3bt0quvvupe6axbt25q166dacekcF/DmTNntHv3bnl6eqpGjRqWz+pt3ry5Fi5cqNTUVDVq1Ejx8fEqVKiQsrOz9dRTT2nVqlWW5pGk0NBQxcbGWn7ca0lISNDevXslXZ5UZOXmD1c6duyYYmNjtWzZMt15552KiIhQkyZNtG3bNg0fPlyrV6+2LMvEiRO1dOlSlStXTuHh4WrUqJG8vb0tO/6VNm3apPfff/+qcadWfgzer18/99WvxYsXKzw83P2zZ599VnPmzLEsS47s7Gzt2bNHNWrU0Lp167R161a1bt1alSpVsjxLamqqJk+erPj4eLlcLtWuXVuvvfaa5UvxZWRkaPXq1fr2228lSQ899JCaNWvmmPkRdsm5CLR3716dOXNGQUFBeca127UEZ86QltTUVB09elSVK1e2/JORvXv3KikpSUFBQfL29lZMTIxcLpdtwyac9LqUIyMjQ4cOHVJ8fLw2btyoQ4cOac+ePZbnGDZsmO666y73soSxsbHat2+fGjRooFmzZumzzz6zLEtkZKTeffddffPNN9q1a5cGDRqkDh06aNGiRaYd0/63yQ4UGxurUaNG6dFHH3W/ax02bJilK4N4eXmpUKFCKlSokMqWLeteD9zT09PSLbFzq127tuLj41W7dm1bJ+HlKFWqlBo3bmx3DElSx44dFRERoenTp+d5l16vXj3LJ1m9/vrrev3117Vr1y4tW7ZMEyZMUO3atdWqVStLl+DLMWzYMPXp00eVKlW67qx5M+VeLeaLL77IU7hzr0BhpZw385LUsGFDNWzYUEOGDLHlaljhwoXVs2dPy4f4XMnHx0dPP/20JTvo3oi4uDhNnTpVycnJeW63a6OZhx9+2JbjXmnDhg2qWLGiypYtq7Vr12rhwoW6//77de+991r+2nDlfWLXjo45nPS6JF3eaCZnIYjff/9dXbp00aRJk2zJsnv3bg0YMMD9fdu2bRUREaERI0boww8/tDxPhQoVNHbsWIWGhqpIkSKmzxWhcOfjww8/1KJFi9wbmZw8eVJdunSxtHDnPmldOUPfrtJy55136oUXXnAf386l75ymRo0a17zK1K9fP4vTXC6RJ06c0C+//KICBQqoaNGiGj58uHsjJSsVL15c9evXt/SYV8p9Zf3KD/Xsej7lJzY21pbCvWjRIo0aNco9Ppnn9mWjRo3Su+++a/tVyjJlyuR5k2inadOmacWKFRo1apQOHTqkXr16qX///jpy5IhGjRql/v372x0Rujy0ce7cuTpw4IAaN26s0aNHa+DAgbZuSFagQAFt2rTJvQLRpk2b5OPjo9OnT1s+rvxf//qXhg4dqv3792v06NEaOXKk6c9zCnc+/Pz88ox/LVOmjOUfyR89etS9ekLurw3D0LFjxyzNkuOLL77Q+vXrbX/xcaIff/xRFy9etHw1m/z07NlT27dvV1BQkF555RX3VdSMjAzVqVPH8sL96KOPasSIEapbt26eZSQfe+wxyzLkLtVOKthXsmuE36RJkzRjxgzde++9thzfqe6++249+uijtn+id+WnMnZasmSJ5s2bp0KFCmnMmDFq0KCBWrVqJcMw3KuEwH5du3ZVcHCw5s2b555DZPe5b8SIEerTp4969eolSSpXrpxGjBihefPmWb6L93vvvae1a9cqKipKhQsXVtmyZU3fiZjCnY97771XnTp1UmRkpDw9PbVy5UoFBAQoJiZGkjUfWeUsC+gkAQEBtu0m5nQFChRQ/fr1Vb58+Tyl0o7NBQIDAzV06FAVLlw4z+0+Pj5avny55XlyxjN+//337ts8PDwsvW8yMzP166+/yuVyub/OKbd2LTmXH7teEEuVKuWosp2amqrjx4/rvvvuU1pa2lV/y1Z54YUXFBUVpccee8wRY6adwMPDwz2scfv27Wrbtq37djudOHFCR44cUd26dXXq1CnLdwPNsXPnzjzfe3h4qGDBgipXrpx7t10rxMbGavHixWrbtq3KlCmj5s2bW75yy5XuvfdeLVq0SMnJyfL09Myz14nVfHx8VKRIEe3Zs0d79uyRr6+vPvnkE1OXZqVw58MwDAUEBGjTpk2S5B5LvX37dknWFG4n7SiWo1SpUnr66adVvXr1PFf8nbTUj1169+5tdwTNnj1bbdu2VcuWLXX48OE8k++GDx+u/v3727JyyYwZMyw/5pVSU1PVvn17d8nOPRPd6qJwrR3gDMOwbUOKBx98UN26ddMTTzyR5w2jHeNht27dqkGDBik7O9u9fvuYMWNUp04dy7OMGzdO999/v20b7+Q4fPhwvjv02bEOt6enp37//Xelpqbq4MGDeuKJJyRdHnpp1+opORs3paWlad68ebZs3JRj0qRJ2r9/vwIDA2UYhnbs2KEyZcooJSVF3bt3t2x+wr333qvo6Gj16tVLGzZs0OLFi3X69Gl17txZ7dq1s2W36u+//14fffTRVRPo7bgwZcfGYxTufFAg85ezSx/ySk5OVsWKFd0bMOzYsSPP91ZZsGCB+2rTm2++6d4FU7q8DbNdrlUwrTzJOmkDKbM/tvwrUlJSVKRIEffqIDnsKNxjx47V7Nmz1alTJwUEBGjmzJn6z3/+Y0vhzsrKcsTrQbly5TR16lS7Y0iSOnfurLCwMGVlZally5YKCAjQihUrNG7cOFuuVErO2Lgph2EYio2NdQ+9TEhIUL9+/TRjxgx16NDB8gnBnp6eatSokRo1aqSzZ89qyZIleu+992wp3NHR0e6VmOz+RMSOjcco3Lm8/PLLmjJliho0aJDvH4NdM9OdYunSpZo+fbrdMRzl+++/V+fOnfXOO+8oKChIkrRlyxb17NlTH3/8saU7PF5vYqCdchfMrKwsrVu3ztKPVp3GiZ9ejRgxQpmZmfr555+VnZ2tSpUq2Xa10uVy5fkkpmLFirbkkC5fZJg5c6bq1q2b51M9q+exeHt7W7pG8fUEBwfrkUce0blz59zntyJFimjYsGGqVauWLZmcsHFTjsTExDx/H6VKlVJiYqL8/PxsPy+XKFFCHTt2VMeOHW05vq+vr9q3b2/Lsa9kx8ZjFO5chg4dKkl6//33VbJkSZvTOE96erp+/fVXlS5d2u4ojjFq1Ci99957eV5oevTooRo1amjkyJGWriuam91XD3K7smA+/vjjatWqlW3bmONq+/fvV7du3VSsWDG5XC6dPn1akyZNUtWqVS3Pcscdd2jDhg3y8PDQ77//rlmzZtk2UXvFihWSlOdCgx1bqVevXt3S4/2RUqVKuVfxkmTL1dLcKlWqpJkzZyorK0sHDx7U7NmzLb3YkVvOSlAhISFyuVxavny5HnnkEX311Ve2zUVwijp16mjGjBmqU6dOnqFrdjy/K1WqpKFDh7o3HktMTDR9Pg8b3+SjWbNmWrlypd0xHKdZs2Y6evSoSpYsqYIFC9oyftBpwsPD8wzdyK1FixZasmSJLVmuzHW9nGY7deqU+2vDMHTkyBENGzZMa9assSUPrtamTRv17dvXXbC//fZbDRs2zL2Ln5XOnDmj4cOHKz4+XoZhqFatWhowYIACAgIsz4Kbg1M2bpIuf4o3d+5cbdmyRZ6ennr88cf1zDPPaMuWLapQoYLuuusuyzM5RYMGDdxf51wUysjIcM+Xs5IdG49RuPPRo0cP1atXTw8//LB8fX3dt//Tl8M7efJkvrc75aNOO4SEhGjJkiVXfXzpcrn09NNPu6+QWaFKlSruq04JCQnurw3DUFJSkvbt22dZltxyD9Hy8PBQ8eLF9frrr1t6VSxnp75r+SevOiHlv4tsSEiILdvMr127VvXq1bN1d1Qp/81dHnjgAb366quO2Fod//PJJ5+oRYsWtkwKz5GUlCR/f/88Fxhy+6f3h9wyMzO1evVqzZ07V/v27btq7ohdzN54jLNGPr777jt99913eW77p1/JlS6fMObMmaNt27YpKytLtWvXdsx4LLs89thjmjhxorp165bn9g8//FBVqlSxNMuqVassPd6N2LBhgz777DPdfffdWrNmjbu05KxsYLW9e/fqt99+U3BwsLy8vLRmzZp/9BvGHEWLFtXatWvVqFEjSZdLr11LgMbGxurtt9/Wk08+qdDQUPc68lZic5eby6VLl9S+fXuVK1dO4eHhatSokeVv2AYMGKApU6aoffv28vDwyDNem/5wWc6ul4sXL1ZycrK6dOmi8ePH2x3LzeyNx7jCncvixYsds7mAE40aNUrHjh1TZGSkDMPQokWLdNddd9myk6JTpKSkqHPnzkpKStJDDz0kwzD0/fffq0SJEpo8efI/et3y3KUlKytLbdq0cZcWl8tlS2lp06aNPv30U/c6wunp6YqKitK8efMsz+IkR48eVe/evXX8+HFJUtmyZTV69GiVL1/eljwpKSlau3atVq5cqWPHjik4OFhvvPGGZccPDQ3Ns7nLqVOnNHbsWPfmLgw5dKZdu3Zp2bJl2rFjh2rXrq1WrVrp/vvvtzvWP96Vu14GBwdr4MCBjlo9Sro8/n7Pnj2m/f9zhTsXJ+3m5URbtmxRTEyMe/jEk08+qZCQEJtT2cvPz0+zZs3Stm3bdPDgQRUoUEDt2rWz5aqc0zhxR7pz587lmVCamZmp8+fP25LFSTIzM7VgwQKlpqbK5XLJz8/P1o95/fz89Oijj+q3337Tr7/+ankWp27ugmtLS0vTiRMn9Msvv6hAgQIqWrSohg8f7p7EaIUff/xRt99+u/z9/TV16lR98803qlKlil566aU8w1P/aZy462V+zM5E4cYNy87OVlZWlnx8fNzf270hhBN4eHgoMDBQgYGBdkdxFCeWllatWikyMlJBQUEyDEMbNmzQc889Z1seu+3evVsul0sDBgzQ8OHD3R+DZ2VlaciQIbYMU5o+fbqWL1+ujIwMhYaGaurUqbrjjjsszeDEzV1wbT179tT27dsVFBSkV155xX3BIyMjQ3Xq1LGkcH/00UeaO3euPD09VbNmTZ04cUKNGzfWjh07NHDgQI0ePdr0DE7lpF0v7dx4jDNHLk7azcuJQkJCFBUVpebNm0uSli9fbvki/rh5OLG0vPTSS6pdu7Z27NghDw8PjR8/3rblw5wgPj5eO3bsUGJiYp6xlF5eXmrdurUtmRITEzVs2DBbhwI4cXMXXFtgYKCGDh161bJ7Pj4+Wr58uSUZli5dqpUrVyo1NVWNGjVSfHy8ChUqpHbt2tn2iZ5TOGnXSzs3HmMMdy7Nmze/7m5eTK6SNm7cqG3btskwDNWuXZudJ3FNcXFxevfdd5WVlaUGDRpoyJAheUqLHbsYSpdfGI8cOaKXX35Zq1evti2Hk8TExDjmfnC5XJo7d657cnatWrXUoUMHyzcySUhIyLO5y8aNG+Xr62vb5i642uzZs92fnB0+fDjPkm7Dhw+3dJ5I7mVgr1z1JywsTDExMZZluRnk7Hq5ePHiq1ZIulVxhTsXJ+3m5SS5lzmqVKlSnpPaqVOnWO4I+XLijnRjxozRb7/9pgMHDqhTp0768ssvdejQIfXp08eWPE6wYcMGPfroo5LkiOXvRo8efdXk7JMnT1o+Odtpm7vgagsWLHAX7jfffDPPXgO7du2yNEvuN4RXDrV04nhlu9m966UdKNy5OG03L6e41jJHiYmJ7p29gPw4rbRs3rzZvRqRn5+fPv30U4WGhv5jC7cTl79jcjZuVO7XJLs/rD969KiioqKu+towDB07dszOaHAICncugwYNsjuCI125dM/Fixc1atQobd68WUOHDrUpFfDn5ZS43LucWT1UwUmcuJIMk7PxV9h9FXnKlCm2Hh/OR+HGn7J161YNGDBATzzxhGJjY23ZOhf4q3LWc05OTtZnn32m2NhY9yTgfyInriST3+Tsf/JjhGuzu2TnVrNmTbsjwOEo3LghqampGjlypPuqtl07BQL/F507d9amTZt055136tdff1XXrl1Vv359u2PZxokryXTp0kX333+/e3J2ly5dmJyNfOVeWSwhIcH9tWEYSkpKsjMacBVWKcEfyn1VOzo6WkWKFLE7EvCn/fTTTypSpEieMeVnzpzR+++//48dGuXUlWSuNGTIEFO3XMbN6eTJk9f9OYsgwEko3PhDlStXlpeXlwICAvJ8hMf65LhZTJgwQdOnT5ckTZo0SbVq1dK0adP00Ucf6ZFHHtG0adNsTmifm2H5u+rVq+ubb76xOwYA/GUUbvwhriLgZtewYUPNmTNHiYmJ+uCDD5SZmanTp0/rzTffVN26de2Ohz/wyCOPaM+ePXbHAIC/jDHc+EMUatzsihQpooCAAAUEBGjv3r0KCwvTJ598wuoXNwknTY4DgL+Cwg3glpd76b/ixYv/Y9fddrIOHTrkW6wNw1B6eroNiQDg70PhBnDLy13kfH19bUyCa+natavdEQDANIzhBnDLq1Klint1koSEBPfXTPwFAFiBwg3glsfEXwCAnSjcAAAAgIkK/PGvAAAAAPirKNwAAACAiSjcAAAAgIko3AAAAICJKNwA8A+wfv16tWrVSmFhYWrTpo327Nmjpk2bavPmze7fGTBggD7//HNJ0uTJkxUeHq4WLVro1VdfVUJCgiRp9erVCg8PV0REhFq1aqWdO3fa8t8DADcTVikBgFvc0aNH1bVrV33xxRcqXry4Dh8+rI4dO6pdu3Y6dOiQxo8fr5SUFDVu3FirVq3S+vXrtXHjRo0ePVpeXl6aN2+e1q5dq48//liNGjXSmDFjVK1aNW3evFnffvutXn/9dbv/EwHA0dhpEgBucVu2bFFiYqKef/55920eHh569NFHNX36dJ09e1ZxcXF68skndfvtt2vDhg3at2+fIiMjJUkul0tpaWmSpObNm+v1119XvXr19MQTT6hTp052/CcBwE2FK9wAcIubMWOGdu/erffff99926+//qqAgAANGTJEFSpU0NKlSzV48GA9/PDD6tq1qwIDA9W2bVtJUkZGhpKTk+Xv7y9J+uWXX7R582atW7dOp0+f1qJFi1SgACMUAeBaOEMCwC2udu3a2rJli3788UdJ0saNGxUaGqr09HS1a9dOX3zxhQzD0MMPPyxJqlOnjhYuXKiUlBRJ0vjx4/Xmm28qKytLDRo0UGpqqp599lkNHjxYP/74o7Kysmz7bwOAmwFDSgDgFlepUiW9/fbb+s9//iPDMOTl5aXJkyercOHCqly5sooWLao2bdq4f79Vq1ZKSEjQM888Iw8PD5UuXVojR46Ul5eX+vXrp169esnLy0seHh5655135OPjY+N/HQA4H0NKAOAf7Pjx4+rQoYPi4uJUqFAhu+MAwC2JISUA8A81fvx4Pfvss4qOjqZsA4CJuMINAAAAmIgr3AAAAICJKNwAAACAiSjcAAAAgIko3AAAAICJKNwAAACAiSjcAAAAgIn+HwvQWZHafHP2AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x=p_cn_assets_info['eyes']).tick_params(axis='x', rotation=90)\n",
    "p_cn_assets_info.groupby('eyes').count()['quantity']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Brows attribute "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "brows\n",
       "Blue Eyebrows       1411\n",
       "Monobrow            1437\n",
       "Normal Eyebrows     4507\n",
       "Pierced Eyebrows    1333\n",
       "Shaved Eyebrows     1312\n",
       "Name: quantity, dtype: int64"
      ]
     },
     "execution_count": 19,
     "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": [
    "sns.countplot(x=p_cn_assets_info['brows']).tick_params(axis='x', rotation=90)\n",
    "p_cn_assets_info.groupby('brows').count()['quantity']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Mouths attribute"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "mouth\n",
       "Cig                       429\n",
       "Cig Mouth                 198\n",
       "Duck                       89\n",
       "Fly Tounge                370\n",
       "Gold Tooth                636\n",
       "Grin                     1113\n",
       "Joint Mouth               260\n",
       "Joint in Mouth            177\n",
       "Joint in mouth            205\n",
       "Missing Teeth             485\n",
       "Normal Mouth             1346\n",
       "Pipe                      445\n",
       "Rose                      449\n",
       "Rose in Mouth             180\n",
       "Rubber Duck On Tounge     229\n",
       "Rubber Duck on Tounge      95\n",
       "Sad Face                  434\n",
       "Screaming                 131\n",
       "Screaming Mouth           190\n",
       "Screaming mouth           134\n",
       "Smile                    1047\n",
       "Tounge                     80\n",
       "Tounge Out                566\n",
       "Vampire Mouth             385\n",
       "Vampire Teeth             190\n",
       "Wizard                    137\n",
       "Name: quantity, dtype: int64"
      ]
     },
     "execution_count": 20,
     "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": [
    "sns.countplot(x=p_cn_assets_info['mouth']).tick_params(axis='x', rotation=90)\n",
    "p_cn_assets_info.groupby('mouth').count()['quantity']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Clothes attribute"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "clothes\n",
       "Armour                232\n",
       "Blood Shirt           251\n",
       "Bra                   481\n",
       "Cardano Tshirt        278\n",
       "Clay Nation Shirt     773\n",
       "Hoodie                774\n",
       "No Clothes            291\n",
       "Orangutan              12\n",
       "Peace Logo Shirt      487\n",
       "Pink Fluffy Jacket    356\n",
       "Punk Jacket           256\n",
       "Rainbow Shirt         527\n",
       "Robot Body            252\n",
       "Spaceman Suit         210\n",
       "Suit                  202\n",
       "Super Hero            477\n",
       "Tentacles             181\n",
       "Tracksuit             204\n",
       "Tshirt Green          849\n",
       "Tshirt Grey           819\n",
       "Tshirt Red            827\n",
       "Unbuttoned Shirt      450\n",
       "White Vest            811\n",
       "Name: quantity, dtype: int64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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05WxZMzsxfX6z87n1BJ6jZvF8AeAJXl622w7kGpv9Y/fu3dq2bZvjsWVZKly4sM6cOePYFh8fr6CgIBUsWPCW2wEAAIB7gbFQffnyZY0dO1bXr1/XlStXFBUVpXHjxmnbtm06d+6crl27pnXr1qlmzZqqUKGCDh8+rKNHjyo1NVWrVq1SzZo1TR0aAAAA4FLG2j9q166tffv2qWnTpkpLS9Orr76qZ555Rn379lVYWJiSk5PVokULlS9fXpI0evRo9erVS9evX1etWrUUEhJi6tAAAAAAlzI6T/Vbb72lt956K8O2xo0bq3Hjxpm+t2rVqlqxYoXJwwEAAACMYEVFAAAAwElGR6oBAMC95f68ueTna2bMLSk5TRcvJBjZN+BphGoAAODg5+uliVF/Gdl3n2YPGtkvcDeg/QMAAABwEiPVuOvlvd9Pvn7+RvadnHRdFy4mGdk3AADIPgjVuOv5+vlrzYyGRvbd4I3VkgjVAO5OefLmVA5fbyP7TkxO1eULV43sG8iOCNUAANylcvh6q9XSP43se0FoMbEYO+A69FQDAAAATrqjUB0XF5dp2x9//OHygwEAAADuRX8bqi9cuKALFy6oc+fOunjxouPxmTNn1L17d3cdIwAAAHBX+9ue6n79+mnLli2SpCpVqvzf/+TjoxdeeMHskQEAAAD3iL8N1TNmzJAkvffeexo1apRbDggAAAC419zR7B+jRo3SiRMndPHiRVmW5dhetmxZYwcGAAAA3CvuKFRHRkZq9uzZKlCggGObzWbTN998Y+zAAAAAgHvFHYXq1atXa926dSpYsKDp4wEAAADuOXc0pV6hQoUI1AAAAMBt3NFIddWqVTV27FjVrVtXOXLkcGynpxoAAAC4w1C9dOlSSVJ0dLRjGz3VAAAAwA13FKq//fZb08cBAAAA3LPuKFTPnDnzlts7duzo0oMBAACA6+S/P6e8/byN7T81KVXnLl41tv97yR2F6v/85z+OfyclJWnPnj0ZVlgEAADA3cfbz1t/ffi7sf0/2K+ksX3fa+548Zf0zp07p3fffdfIAQEAAAD3mjuaUu9m+fPn14kTJ1x9LAAAAMA96R/3VFuWpQMHDmRYXREAAADIzv5xT7V0YzEY2j8AAACAG/5RT/WJEyeUkpKiokWLGj0oAAAA4F5yR6H66NGj6t69u+Lj45WWlqZ8+fJp2rRpKl68uOnjAwAAAO56d3Sj4vDhw9WpUyft2rVLe/bs0Ztvvqlhw4aZPjYAAADgnnBHofrs2bNq1qyZ43Hz5s11/vx5YwcFAAAA3EvuKFSnpqbqwoULjsfnzp0zdTwAAADAPeeOeqrbtWunVq1aqUGDBpKkNWvWqEOHDkYPDAAAALhX3NFIda1atSRJycnJ+vPPPxUXF6cXX3zR6IEBAAAA94o7GqkeOHCg2rZtq7CwMF2/fl3z5s3ToEGD9Nlnn5k+PgAAAOCud0cj1efPn1dYWJgkyd/fX6+99ppOnz5t9MAAAACAe8Ud36gYFxfneHzmzBlZlmXsoAAAAIB7yR21f7z22mtq2rSpnnvuOdlsNm3dupVlygEAAID/745CdYsWLVSuXDlt375d3t7eeuONN1SqVCnTxwYAAADcE+4oVEtS6dKlVbp0aZPHAgAAANyT7qinGgAAAMDtEaoBAAAAJxkP1WPGjNHAgQMlSQcPHlTz5s1Vv359hYeHKyUlRZJ08uRJtW3bViEhIXrzzTeVkJBg+rAAAAAAlzEaqrdt26aoqCjH4/79+2vIkCFau3atLMvSwoULJUnDhg3Tq6++qujoaJUrV05Tp041eVgAAACASxkL1RcuXNCECRPUrVs3SdKJEyeUmJioihUrSpJCQ0MVHR2t5ORk7dq1S/Xr18+wHQAAALhX3PHsH//U0KFD1bdvX506dUqSFB8fr8DAQMfXAwMDFRcXp/Pnzyt37tzy8fHJsP2fKlAgt2sO/C4VGJiHmlmopidkl58zO+H5Yg4/Z9aqCbP4nd5gJFQvWrRIhQoVUtWqVbV06VJJuuUKjDab7bbb/6mzZ68oLc0zqzy644/p9OnL2bKmO+reqqYnZJefM7vITs9RT8guzxdP/JzZ5dxmF9npdcEdvLxstx3INRKqV69erdOnT6tJkya6ePGirl69KpvNpjNnzji+5/Tp0woKClL+/Pl15coVpaamytvb27EdAAAAuFcY6ameOXOmVq1apeXLl6t3796qU6eORo0aJX9/f+3Zs0eStGzZMtWsWVO+vr6qVKmSVq9enWE7AAAAcK9w6zzVkZGRGjVqlBo0aKBr164pLCxMkvT+++9r4cKFatiwoXbv3q233nrLnYcFAAAAOMXYjYp2oaGhCg0NlXRjqfPFixdn+p7ChQtr9uzZpg8FAAAAMIIVFQEAAAAnEaoBAAAAJxGqAQAAACcRqgEAAAAnEaoBAAAAJxGqAQAAACcRqgEAAAAnEaoBAAAAJxGqAQAAACcRqgEAAAAnEaoBAAAAJxGqAQAAACcRqgEAAAAnEaoBAAAAJxGqAQAAACcRqgEAAAAn+Xj6AAAAQPaWN28u+fqaGedLTk7ThQsJRvYNpEeoBgAAHuXr66Xli84Y2XeTVx4wsl/gZrR/AAAAAE4iVAMAAABOIlQDAAAATiJUAwAAAE4iVAMAAABOIlQDAAAATiJUAwAAAE4iVAMAAABOIlQDAAAATiJUAwAAAE4iVAMAAABOIlQDAAAATiJUAwAAAE4iVAMAAABOIlQDAAAATiJUAwAAAE4iVAMAAABOIlQDAAAATiJUAwAAAE4iVAMAAABOIlQDAAAATiJUAwAAAE4yGqonTpyohg0bqlGjRpo5c6YkaevWrWrcuLHq1aunCRMmOL734MGDat68uerXr6/w8HClpKSYPDQAAADAZYyF6p07d2r79u1asWKFlixZotmzZysmJkaDBg3S1KlTtXr1ah04cEAbN26UJPXv319DhgzR2rVrZVmWFi5caOrQAAAAAJcyFqorV66sL7/8Uj4+Pjp79qxSU1N16dIlFS1aVEWKFJGPj48aN26s6OhonThxQomJiapYsaIkKTQ0VNHR0aYODQAAAHApH5M79/X11aRJk/T5558rJCRE8fHxCgwMdHw9KChIcXFxmbYHBgYqLi7uH9UqUCC3y477bhQYmIeaWaimJ2SXnzM74fliDj8nNXHnOL83GA3VktS7d2917txZ3bp105EjRzJ93WazybKsW27/J86evaK0tMz7cQd3/DGdPn05W9Z0R91b1fSE7PJzZhfZ6TnqCdnl+eKJnzO71MwustPrgjt4edluO5BrrP3j0KFDOnjwoCQpICBA9erV044dO3TmzBnH98THxysoKEgFCxbMsP306dMKCgoydWgAAACASxkL1bGxsRo8eLCSkpKUlJSkb775Rq1bt9bhw4d19OhRpaamatWqVapZs6YKFy4sf39/7dmzR5K0bNky1axZ09ShAQAAAC5lrP2jVq1a2rdvn5o2bSpvb2/Vq1dPjRo1Uv78+dWrVy9dv35dtWrVUkhIiCQpMjJSgwcPVkJCgsqUKaOwsDBThwYgm8mT1185fP2M7DsxOUmXL1w3sm8AwL3DaE9179691bt37wzbqlatqhUrVmT63tKlS2vx4sUmDwdANpXD108No943su/VzYbpsgjVAJDdsaIiAAAA4CRCNQAAAOAkQjUAAADgJEI1AAAA4CRCNQAAAOAk4ysqAgAAQMp3fy75+Jkbz0xJStP5iwnG9o+/R6gGAABwAx8/L/0xOc7Y/kv0Kmhs3/jvaP8AAAAAnESoBgAAAJxEqAYAAACcRKgGAAAAnESoBgAAAJxEqAYAAACcRKgGAAAAnESoBgAAAJzE4i8AANyBPHkDlMPXzNtmYnKKLl+4ZmTfANyDUA0AwB3I4euj0CXbjOx7afOqumxkzwDchVANAACAe17++wPk7Wcm2qYmpejcxb+/mkSoBgD8z0y2REi0RQC4c95+Por/eI2RfQf1bPBfv4dQDQD4n+Xw9dFLixcZ2/+qFq/QFgHgnsDsHwAAAICTCNUAAACAkwjVAAAAgJMI1QAAAICTCNUAAACAkwjVAAAAgJMI1QAAAICTmKcaAABkO/ny5pKPr5mxxZTkNJ2/kGBk37h7EaoBAEC24+PrpW1fnDay76odAo3sF3c32j8AAAAAJxGqAQAAACcRqgEAAAAnEaoBAAAAJxGqAQAAACcRqgEAAAAnEaoBAAAAJxGqAQAAACcRqgEAAAAnsaIikI3dl9dP/r7+RvZ9Pfm6Ll1IMrJvAADuNoRqIBvz9/XXkIUhRvY9omW0JEI1ACB7MNr+8fHHH6tRo0Zq1KiRxo4dK0naunWrGjdurHr16mnChAmO7z148KCaN2+u+vXrKzw8XCkpKSYPDQAAAHAZYyPVW7du1ebNmxUVFSWbzaZOnTpp1apVioyM1OzZs1WoUCF17dpVGzduVK1atdS/f3+NHDlSFStW1KBBg7Rw4UK9+uqr/7hu/vtzyNvP18BPJKUmJevcxUQj+wYAAMC9y1ioDgwM1MCBA+Xn5ydJKl68uI4cOaKiRYuqSJEikqTGjRsrOjpaJUqUUGJioipWrChJCg0N1aRJk/6nUO3t56vTn3zlsp8jvcA320kiVAPOyJPXTzkM9XEnJl/XZfq4AQAeYCxUlyxZ0vHvI0eOaPXq1Wrfvr0CAwMd24OCghQXF6f4+PgM2wMDAxUXF/eP6hUokNv5g74DgYF53FLnbqhLzazlbjq3DVa8bKTempdXKEegmcD+d3hdoCY1qXk31PRUXd5HbzB+o+Lvv/+url27asCAAfLx8dHhw4czfN1ms8myrEz/n81m+0d1zp69orQ0y/gv9vTpy5m2ueOP6ea62aWmO+reqqYnZMW/XWqadTc8R7PT6wI1qXm317xVXU89Rz3BHb9TLy/bbQdyjd6ouGfPHr322mvq16+fmjVrpoIFC+rMmTOOr8fHxysoKCjT9tOnTysoKMjkoQEAAAAuYyxUnzp1Sj169FBkZKQaNWokSapQoYIOHz6so0ePKjU1VatWrVLNmjVVuHBh+fv7a8+ePZKkZcuWqWbNmqYODQAAAHApY+0fM2bM0PXr1zV69GjHttatW2v06NHq1auXrl+/rlq1aikk5MYcuZGRkRo8eLASEhJUpkwZhYWFmTo0AAAAwKWMherBgwdr8ODBt/zaihUrMm0rXbq0Fi9ebOpwAAAAAGOM9lQDAAAA2QGhGgAAAHASoRoAAABwkvF5qoF7Ud68vvL1zWFk38nJibpwIdnIvgEAgGcQqoFb8PXNoTmz6hvZd9vX1koiVAMAkJXQ/gEAAAA4iVANAAAAOIlQDQAAADiJUA0AAAA4iVANAAAAOIlQDQAAADiJUA0AAAA4iVANAAAAOIlQDQAAADiJUA0AAAA4iVANAAAAOIlQDQAAADiJUA0AAAA4iVANAAAAOIlQDQAAADiJUA0AAAA4iVANAAAAOIlQDQAAADiJUA0AAAA4iVANAAAAOIlQDQAAADiJUA0AAAA4iVANAAAAOIlQDQAAADiJUA0AAAA4iVANAAAAOIlQDQAAADiJUA0AAAA4iVANAAAAOIlQDQAAADiJUA0AAAA4iVANAAAAOIlQDQAAADiJUA0AAAA4yXiovnLlil566SXFxsZKkrZu3arGjRurXr16mjBhguP7Dh48qObNm6t+/foKDw9XSkqK6UMDAAAAXMJoqN63b5/atGmjI0eOSJISExM1aNAgTZ06VatXr9aBAwe0ceNGSVL//v01ZMgQrV27VpZlaeHChSYPDQAAAHAZo6F64cKFev/99xUUFCRJ2r9/v4oWLaoiRYrIx8dHjRs3VnR0tE6cOKHExERVrFhRkhQaGqro6GiThwYAAAC4jI/JnUdERGR4HB8fr8DAQMfjoKAgxcXFZdoeGBiouLi4f1SrQIHczh3sHQoMzOOWOndDXWpSk5p3b01P1aUmNal599b0VF1P/azu9t9+TqOh+maWZWXaZrPZbrv9nzh79orS0izjv9jTpy9n2uaOP6ab62aXmu6oS01q3os1b1U3u9R0R11qUvNerHmrup56jnqCO36nXl622w7kunX2j4IFC+rMmTOOx/Hx8QoKCsq0/fTp046WEQAAAOBu59ZQXaFCBR0+fFhHjx5VamqqVq1apZo1a6pw4cLy9/fXnj17JEnLli1TzZo13XloAAAAwP/Mre0f/v7+Gj16tHr16qXr16+rVq1aCgkJkSRFRkZq8ODBSkhIUJkyZRQWFubOQwMAAAD+Z24J1d9++63j31WrVtWKFSsyfU/p0qW1ePFidxwOAAAA4FKsqAgAAAA4iVANAAAAOIlQDQAAADiJUA0AAAA4iVANAAAAOIlQDQAAADiJUA0AAAA4iVANAAAAOIlQDQAAADiJUA0AAAA4iVANAAAAOIlQDQAAADiJUA0AAAA4iVANAAAAOIlQDQAAADiJUA0AAAA4iVANAAAAOIlQDQAAADiJUA0AAAA4iVANAAAAOIlQDQAAADiJUA0AAAA4iVANAAAAOIlQDQAAADiJUA0AAAA4iVANAAAAOIlQDQAAADiJUA0AAAA4iVANAAAAOIlQDQAAADiJUA0AAAA4iVANAAAAOIlQDQAAADiJUA0AAAA4iVANAAAAOIlQDQAAADiJUA0AAAA4ycfTBwAAAICsI//9OeXt521s/6lJqTp38aqx/f+vCNUAAABwGW8/b8VN3G5s/wX7BBvbtzNo/wAAAACcdFeF6pUrV6phw4Z68cUXNWfOHE8fDgAAAHBH7pr2j7i4OE2YMEFLly6Vn5+fWrdurSpVqqhEiRKePjQAAADgb901oXrr1q0KDg5W3rx5JUn169dXdHS0evbseUf/v5eX7f/+nSeXiUPMVCfD9jz3Gat5u7o+eYLcXtMvt/trSlKAwbq3q5krd0G318yTy/018+Z0f82gAPf/PoNy5vVAzTzGat6ublDO3B6omdPtNW/UDXB7zcCc/h6oae6t+ravRTnN3WR229f5nOYunt+upn8u99f0yWO2SeBWdb3vMxv3blXTK4+558rtat6oa/Z14XZ1JclmWZZlrPo/MG3aNF29elV9+/aVJC1atEj79+/XiBEjPHxkAAAAwN+7a3qqb5XtbbbbfxoAAAAA7hZ3TaguWLCgzpw543gcHx+voCCzrQYAAACAK9w1obpatWratm2bzp07p2vXrmndunWqWbOmpw8LAAAA+K/umhsVCxYsqL59+yosLEzJyclq0aKFypcv7+nDAgAAAP6ru+ZGRQAAAOBedde0fwAAAAD3KkI1AAAA4CRCNQAAAOAkQjUAAADgJEI1AAAA4CRCdRZ1+vRpTx8CXGjLli2Ztq1bt8543WnTpmXaNn78eON1Pe3KlSuePgTgrvX7779n2vbTTz+5/0AM+/77791eM7ucW0/497//bTwbZbtQffHixUzbTpw4YbRmSkqKvv/+ey1btizDfya1a9dOXbp00Zo1a5ScnGy01s1iY2P1/fffKzU1VcePH3drbU8xFcJWr16tZcuWaciQIRn+dhYtWqRx48YZqSlJkZGReu+99/T555/rvffec/zXv39/rV271lhdT/nuu+80btw4JSQkqEGDBqpbt67mzJljtOaIESMybRswYICRWnXq1FHdunVv+59JvXr1yrStQ4cORmu689x6sua5c+fUp08fValSRZUqVVKPHj0yrEzsanv27NGuXbvUs2dP7d69W7t27dKuXbu0bds24z+rJ/6OTL7G3syT59YTf7uekJiYaDwb3TWLv5h26tQpWZalLl266LPPPpN9eu7U1FR17txZ0dHRxmr369dPJ0+eVPHixWWz2RzbmzZtaqzm2rVrtXv3bkVFRSkyMlK1atVSs2bN9OSTTxqrKd0IgZ988omuXbumBQsWqHXr1nr33XfVpEkTYzXPnj2rlStXKiEhQZZlKS0tTbGxsRo7dqyxmt999512796t7t27q0WLFjp37px69+6ttm3burTOlStXtHfvXiUkJGjHjh2O7d7e3urbt69La6VXr149HTp0SNu3b1flypUz1O3Ro4exutKNN8/Jkydn2NahQwd98cUXxmp+/PHHGjt2rFavXq3y5ctr6NChat++vct/n5IUHh6u48eP68CBAxlGpVJTU3Xp0iWX15Ok2bNny7IsTZkyRUWKFFFoaKi8vb21cuVKxcbGGqnZo0cPxcTEKC4uLkNwT01NVaFChYzU9MS5vV3NlJQUXb582UhNu6FDh+qpp55SRESE0tLStGDBAoWHh9/yCpMrbN26VTt37lR8fLwmTpzo2O7j46NWrVoZqWn/O4qPj3fb35FdkSJF9N5776lChQrKkSOHY7uJ925PnFtPPF/SS0lJ0ebNm3XhwoUM201lo549ezo+tKxatUqTJ09WcHCwXnnlFT3xxBMuqZFtFn957733tGPHDsXHxysoKMix3cfHR88//7wGDRpkrHZISIjR0P53rl+/rjVr1mjChAmy2WzKnz+/hg4dqooVKxqp16xZM82ePVvt2rXTsmXLFB8fr44dO+rrr782Uk+S2rRpo0ceeUQ//fSTXnjhBW3ZskWlS5fW6NGjjdVs3ry5xo4dqx9//FG7d+92hLClS5caqbdt2zZVrVrV8fjKlSvKnTu3kVrpuauOlDGEFSxY0LE9NTVVDz74oObPn2+sdvPmzbVkyRL16NFDL7/8surXr6/GjRtr5cqVLq8VGxurEydOKCIiQoMHD3Zs9/b2VvHixZU3b16X17QLDQ3N9Dd6q22ucOXKFV24cEHDhg3TBx984Nju4+OjAgUKyMfH9WM6nji3nvx9NmnSRMuXL8+wzdTfbXrLli0zOiiUnv3v6Obza/LvyO6999675fZRo0YZq+nOc+vJv11J6tOnzy0HHE2e32vXrmnt2rVauXKl4uLi9OKLL2rXrl166qmn1K9fP+cLWNnMtGnT3F6ze/fuVlxcnFtrbtmyxXr33XetGjVqWOHh4daePXssy7KsmJgY67nnnjNWNzQ01LIsy2rSpIlj20svvWSsnmVZVv369S3LsqzRo0dbP/30k3Xp0iXHcZhi33/37t2t6Ohoy7LM/pzffPONNXbsWOvKlStWSEiIVblyZeurr74yVq9p06aWZVnW448/bpUuXdrxn/2xCZcvX7aOHz9udevWzYqNjXX899dff1nJyclGatp16dLFGj58uFWzZk0rISHBGjVqlNWlSxejNTt27Gh0/7fSrFkza9u2bY7H33//vdWiRQujNe1/S+7kiXNrWZZ1/Phx67vvvrNSUlKsY8eOGa/XpEkT6+TJk47HJ06ccMv5btiwofEat7J7925r7ty51vXr162dO3d65BhM88S59dTzxf7e7S5vv/22Va1aNeu9996zdu3a5dh+/fp169lnn3VJjWzT/rFgwQK1atVKSUlJ+vjjjzN9vWfPnsZqJyYmKiQkRKVKlZKfn59j+5dffmms5pQpU9SiRQt98MEHCggIcGx//PHH9frrrxurW7JkSX311VdKSUnRwYMHNXfuXJUuXdpYPUm6//77JUmPPfaYYmJiVKFCBaWkpBit+cADD2jEiBE6cOCAxo0bp9GjR+uhhx4yVm/KlClua0+QpKioKElSTEyMkf3fytGjR1W2bFl17NhRJ0+ezPC1Y8eO6dlnnzVW+8MPP9SGDRvUoUMH5cyZU0WKFDH6miDduIp06tQp45ew0xs5cqQGDBig+Ph4SVLhwoWNtklJUoECBbR7926VL18+w+ufSZ44t55ofevTp49atWqlChUqyLIs7du375b9sa7mzrYIuy+++EIbNmxQfHy8QkJCNHToULVo0UJvvPGGsZp16tTJMIJq98033xir6Ylz64nniyQVL148U/eASVWrVtWIESOUM2fODNv9/PxcdjU924Rqy4NdLl27dnV7zTlz5ig2NlY7duzQc889p5MnT6pIkSKSpNdee81Y3aFDh+qTTz6Rv7+/Bg0apODgYOM3PAQHB6t3794aMGCAXn/9df3yyy/y9/c3WtMTIax48eIaP368Xn75ZeXKlcstN6De6gOoZOZD6Lx58zRy5MhM/dSSZLPZjH4IzZ07t7y8vLRkyRJ169ZNuXLlMt72cvbsWdWpU0cFChSQv7+/LMuSzWYz+oZdpkwZrVy5UufPn5fNZjN+eVeSDhw4oHbt2mXYZrPZdPDgQWM1PXFuP/vsM82bN0/t2rVTgQIFFBUVpY4dOxoN1YUKFdKyZcu0f/9+paWladiwYSpQoICxenb58uWTJO3bty/DdpPBLyoqSgsXLlTLli2VL18+LV68WK+88orRUD179mzHv1NSUrR+/XolJSUZqyd55tx64vkiuW/AMf372Oeff57p6z179lRgYKBLamWbUN26dWtJZkekb6dy5cras2eP/vOf/6h58+bat2+f0VE3yTOjJpKUM2dO9evXzzW9SXeoQ4cOunLligoXLqzx48dr165dxm+mc3cIc/fI+K0kJydr06ZNqlChgpH9jxw5UlLGNzJ3iYyM1F9//aVffvlFnTt31pIlSxQTE6OBAwcaqzljxgxj+76dEydOaPDgwTpx4oTmzJmjsLAw/etf/9LDDz9srOb27duN7ft2PHFuvby8MrwGBAUFycvL7ARbffv21Zo1a/T8888brXMzkz2vt+Pl5ZUhePn7+8vb29tozcKFC2d43KlTJ4WGhqp79+7Ganri3Hri+SK5f8Bx//79+uuvvxQSEiIfHx+tX78+0+/YWdkmVNuVLl060+WcoKAgbdy40VhNT1y2cveoSbNmzRQVFZXp/No/8ZoclWrbtq3WrFkjSSpbtqzKli1rrJadu0OYJ0bGpcwfQnv06GG0fUiS2rdvf8tLriZHqjdv3qyoqCg1a9ZMuXPn1syZM/Xyyy8b+X1+9913ql27tnbt2nXLr7v6RT69oUOH6o033lBkZKQeeOABvfTSSxowYICR6QPtLXfuvNrhyXPrida3EiVK6OOPP87UKmBq0KZr166aNm2aR9oiKleurDFjxujatWvasGGDFixYoCpVqhirJynD35FlWfr99991/fp1I7U8cW49+XyRbvxOf/31V129elWWZSk1NVWxsbEZZpxyBftrTevWrbVgwQJHS2yHDh0UFhbm0lrZLlSn7xFNTk7Whg0bjE+s7onLVu4eNfFED65d6dKltWzZMpUvXz7DG4vJkVx3hjDJM+0Jt5KQkJCp39nV0s9Hm5KSom+++Ub33Xef0Zr254b9zSwpKcnY8+Xnn39W7dq1M0yRmJ7Jy7znz59XjRo1FBkZKZvNppYtWxqbj9sTLXeePLe3an0zeaVDki5cuKAdO3Zk+HlNtkrZ+7U9cTXp3Xff1cKFC/X4449r2bJlqlWrltq0aWO05qRJkxz/ttlsypcvn7FZpTxxbj35fJFuzIW9d+9eXbx4UcWKFVNMTIyefvpptWjRwkg9e9ubXXJycqbp/JyV7UJ1er6+vmrQoIE+/fRTo3U8cdnK3aMmtxuNsjM5qrpv3z7t27cv06d7k6Mm7gxhkmfaE6SMN+pYlqVLly4Z/TAoKdMoRbVq1fTKK6+oT58+xmqGhITorbfe0sWLFzVr1iytWLFCL730kpFavXv3luSZy7w5cuTQX3/95fid7t6929jNg55oufPkuT179myG1jfLsvTVV1+pffv2xmq6O9zabygLCgrS1q1bdf78+QxfNzmyeeDAAbVu3drxd3Xt2jWNGzfO6Gug/fxeuXJFaWlpRj/ce+LcevL5It24ErB27VqNGDFCYWFhsixLw4cPN1bvlVdeUfPmzVWzZk2lpaXp+++/d/kCQtkuVKdfydB+OcfX19dozVtdtgoODjZa0xM3DEru6VlK79ChQ5o/f76CgoI0ffp0/fjjjypbtqw6depkrKbk3hAmuX9k3C79m7bNZtN9991nfIQ8/Ui4ZVn6448/XD6acLMuXbpo06ZNeuihh3Tq1Cn16tVLtWvXNlrz+++/15QpU3T+/PkMo7omPwwOHDhQXbt21bFjx9SkSRNdvHhRH330kbF6krRo0SKNHz/e8Tt0R0uYJ85tp06dNH36dBUtWlS//fabBg8erJw5cxoN1Tf3yPfr1894j7x0Y9aR06dPu3VBs/79+2vMmDGqWLGifvjhB33wwQfG30ePHz+uvn376vjx47IsSw899JAmTJigxx57zFhNT5xbTzxfpBsfIHx9fVW8eHH99ttvatSokRISEozV69Spk4KDg7Vz5055eXlp4sSJLh9szDaLv9jdPJl7vnz51KZNG8fMGCakpaVp4cKF2rp1q9LS0hQcHKzWrVsbn7TeE58+W7durZkzZzp6lq5fv66wsDAtWLDA5bU+/fRTzZ8/X97e3qpcubJiY2P14osvaufOncqZM6fxqcI2bdqU4XdqMoSFhoZqyZIlCg0NVVRUlK5evaqWLVtq1apVxmqeO3dOvr6+ypMnj2JjY7Vu3To98cQTGRahMSH96Lj9kmvPnj1Vq1Yto3UPHTqU6U3F5A3FL774osLDw1WiRIkMb56m+xiTk5N15MgRpaamqlixYkpKSjL6QalOnTqaNm2aSpYsaazGzTxxbn/88UcNHjxY1apV07p16/T2228bv3z+xhtvqGPHjoqMjFRUVJQWLVqk5cuXG2vpsfPEgmaHDx9Wr169VKRIER0/flzvv/++8Rv+O3bsqFatWikkJETSjQkA5s2bZ/QKgSfOradei/r06aMyZcqoatWqGjdunFq3bq3Jkycb+/kty9K8efO0bds2paamqkqVKmrfvr1LrzJnu5Hq9EHzypUrOnXqlNFALd1oFahRo4YefPBB1ahRQ6dOnTIaqCXpP//5jxISEpQrVy6jdW7mjp4lu5UrV2rNmjW6evWqXnjhBW3dulUBAQFq27atGjZsaKRm+hs6cuTIoTp16mT4mqkXeXePjG/atEkDBgzQpEmT9Oijj6pFixaqUaOG1q1bp+PHj6tly5ZG6n733XeaNWuWHnnkEa1fv16LFy9WmTJlVL16dSP17IYMGaIffvhBjzzyiGOb6Wn88uTJ47ZZG86dO6eZM2fq/vvv12uvvaaSJUsqLS1N8+bN05QpU7R161ZjtQsUKODWQC2599zaPf300xo/frw6deqkDz/80PhNdJJ7e+TTe+SRR3Ty5Em3zEBkv3Ll7++vDz74QG+99ZYGDx6swoULGz+G8+fPOwK1JDVs2FCffPKJsXqSe8+tnSeeL5IUERGhjRs3qnz58qpXr55WrVqlYcOGGas3duxYHT16VM2bN5dlWVq6dKliY2MVHh7ushrZLlQvWrRIP/74o/r376+mTZsqV65cqlevnvr27Wuspn16u8TERM2fP98t09t5eXmpdu3aeuyxxzLM2WwyJEju6Vmy8/HxUUBAgAICAlSkSBHH6Li3t3eGBW9cKf2NKzczEcK+++471apVy+3tCZMnT9bcuXP16KOP6rPPPlOpUqUUGRmpa9euqWXLlkZC9YwZM7R69WqNGTNGMTEx6t+/v8LDw/XHH39ozJgxLn3hu9m2bdu0fv16tyxOYv9gVrx4cY0cOVJ169bN8CHbxAezd955R7ly5dL58+eVnJysWrVq6d1339W1a9duuxSzs+ytdg899JDefPPNTD+niVFcT5zb9DMe2a9yvPbaa25pc3Fnj7z0fzPznDt3To0bN1bp0qUz3B9k4v2lXbt2stlsjnPr5+fnuAppei5lPz8//fLLL44ZpQ4cOGDsveV259b+d2Ti3Hri+ZLenDlzHNPqtW/fXu3bt9f48eONfSDdsmWLli1b5hiZfv7559W4cWOX1sh2oXrevHn6/PPPtWLFCtWtW1fh4eFq2bKl0VDtiUUB+vfvb2zff8cdPUt26S/Z3Hzj562mJHKF9Jf9zp49qwIFCujatWuKj49X0aJFXV5v5syZ+uCDD/Tyyy+refPmbumLl2607Tz66KOSbswzbB+RDwgIMDarw/Llyx3THUVGRqpOnTp65ZVXZFmWsSsPdoUKFdL169fdEqrTfzD766+/9Ntvvzkem3rzPHbsmDZs2KArV66odevWmjt3rtq3b6/XXnvN2M9sn1EgZ86cypkzp/bs2ZPh6yZCtSfO7a1mPLIHIdNu1SM/ceJEY/XSz8zjLt9++63j38nJyfL19VVycrKSkpKMX4kdNGiQevXqpbx588qyLF28eFHjx483UssT59YTzxfpxo33Z8+e1bfffqsjR444tqempmrfvn16++23jdRNTU1VSkqK4zUvNTXV5ZNGZLtQLUl58+bVxo0bFRYWJh8fH2PzTtp5YlGAp556Sr6+vvrpp5+UnJwsLy8vPfPMM0ZrSjfeTPbv36+9e/cqNTVVNptNpUqVMvLzHjlyxDHHZPp/W5alo0ePurxeerNnz9bSpUsVFRWlc+fOqVu3bnrttdfUqlUrl9b58ssvderUKa1YsULdu3dXvnz51Lx5czVo0MDYiIl04xxalqXExET9+OOPjhsir169qsTERCM1bTab42fasWOHXn31Vcd2U+yjtKmpqWrSpIkqVaqU4UXWxH0JnpiOzP76kzt3bl24cEGTJ0/WU089ZbSmJ+7p8MS5tduxY4cmTJig+fPn6/Dhw+rcubPGjRunp59+2ljN8uXLa/HixRl65E1+MKxcubJSU1OVmpoqPz8/XblyRVu2bFGpUqWM3rwnSWvWrNHUqVO1cuVKnTp1Su3bt9eQIUP0wgsvGKtZsWJFrV27VkeOHFFaWpoee+wxY+fXPutRUlKS/vzzT5UuXVorV67Ur7/+qo4dOxqp6annS7169XTo0CFt3749w2xP3t7eRhfWady4scLCwtSoUSNJ0tdff+3yNspsF6pLlCihrl27KjY2VlWrVlWfPn1Urlw5ozXdOb1dXFycevbsqYYNG6pjx47q27evHn74YZ04cUIDBw5UvXr1jNS1c0fPkt20adNcvs87tWDBAi1cuFDSjZs5li5dqpYtW7o8VEs3RlG7du2qrl27av/+/VqxYoWmT5+uZ5991jG3qau9+OKLevPNN5WWlqbSpUurZMmSiomJ0aRJkzL0GLqSt7e3Ll26pKtXr+rgwYOOPuoTJ04YuwfB/oJ+q8UGTIV5y7I0Z84cVa5cWaVKldKXX36pRYsWqUyZMhoyZIiRmwbT/ywPPPCA8UAt3ViCeOLEiWrQoIHKly+vUaNGaeHChSpTpozGjx+vggULurymJ86t3ejRozVmzBhJUrFixTR9+nS9++67WrJkictreWoK059//lndu3fXqFGjVLFiRTVt2lSBgYE6f/683nnnHaMBd+rUqZo5c6akG33HS5cu1euvv2605p9//qmFCxfq4sWLGbab/MDYv39/xw3EkydPVpMmTTRw4MBbLq/tLE89X8qXL6/y5cvrxRdfdOt6C926ddMTTzyh7du3y7IsdevWzeW95NkuVP/rX//S3r17VbJkSfn5+alJkyZZanq7f/3rX2ratKnatm0rSbr//vs1e/ZsxcTEKCIiwniodkfPkp2rV136J5KTkzOMWJieltGuVKlSqlChgk6ePKkff/zRWJ1evXpp9erVOnPmjOMy/fbt2/XEE08YWwK+S5cuatq0qVJSUtSiRQsFBQVp9erVmjBhgrGazZo1k3TjA9rNS+aauswbGRmpQ4cO6fnnn9eePXs0ceJETZ48Wb///rtGjhxpZHGJhIQE7d69W2lpabp27Zp2795tfJaTiIgIeXt7q3Dhwtq4caNWrlypZcuW6ffff9fw4cM1ZcoUl9f0xLm1u379ukqVKuV4XLx4caWkpBirZ2e/T8cdxo4dq4kTJ+rpp5/W7Nmzdf/992vevHm6cOGC8YCbnJysBx54wPG4QIECxhcYsg9QPf7440brpBcbG6uJEydq7NixatGihbp06aLmzZsbqeXJ54skVapUKdPgRWBgoH744QdjNWvVqqUSJUrol19+UbFixVy+/2wXqj/66CO98847jsdeXl566aWXMvRtudqIESM0atQox6IAJsXExNyyp6506dLG5/qV3NOzdDd44YUX1KFDBzVo0ECStG7dugwzgbhSamqqNm3apJUrV2rnzp16/vnn1blzZ+OjjTf3Mb/22mtG64WEhOipp57S+fPnHVdycuXKpZEjRxq7ccUTvX0//PCDoqKi5OPjoy+++EL169dXtWrVVK1aNcffk6sVLFjQ8boQFBSU4TXCVO/kTz/9pJUrV0q6Md9tgwYNVLRoURUtWtTYBxZPnFu7YsWKady4cY57Zb7++mvHfQmuln4kesOGDW5bYOfixYuOdpZt27apfv36km60VCYnJxut/cwzz+jtt992DNKsWbNGFStWNFrzvvvuc+viRdKN155z587pm2++0eTJk3X69GljLXeefL5I7lvhev/+/RoxYoQeeOABtWvXTr1799YjjzyiEydOaMCAAS790JLtQvWxY8c0evRoderUSSNGjNAff/xh/NOYO6e3u7l3edGiRbf9mgnu6Fm6G/Tv31/R0dHatWuXfHx8FBYWZmSUZujQoVq/fr1Kliyp0NBQRUREZFiKPaspWLBghrYA03NTe6K3z8vLy9HOsnPnzgwj5GlpaUZqeqJ3Mv3rzY4dOzLcPG0qgHni3NpFREToo48+Ur9+/eTj46NKlSpp5MiRRmtKZu85uJl9ZDg5OVm7du3Sm2++6XhsctEOSXr//fc1e/ZsLViwwHF+7fddmNKsWTNNmDBBwcHBxmfFsF8te+ONN9SyZUvVqVNHpUqVUv369Y2tJuvJ58vNTK5wPXz4cHXr1k2XL1/Wm2++qQULFuiJJ57QiRMn1KlTJ0K1Mz766CMNHjxYdevWVbdu3RQZGWn80r07p7d74IEHtH//fpUvX17S/7Ul7N+/XwUKFHB5vZul71myP/bE/Jfu8Mgjj+iBBx6QZVlKTU3V4sWL1aJFC5fWKFCggBYuXGh8LvXsyt7b98ILLyg5OVn79u1TamqqKlasmOFSsysFBATo5MmTSkhI0KFDh1StWjVJN0Zt3NlfaFrevHm1f/9+Xb16VfHx8Y6fc8eOHXrwwQeN1PTkub3//vv1/vvvOx5blqXY2FjlyZPHaF13evbZZzVs2DAlJyerYMGCevLJJxUXF6dPPvlENWrUMFrbz89PzZs3V8OGDR2vuXv27DG6GNXOnTv1888/Z2i1M3VlJzo6Wl27dlXjxo0ztEyuXr3a2NVeT78WuWuF66SkJMeg16effqonnnhC0o37odJnMlfINqE6/Y0dhQoVUu7cufXrr786bnYzeYnHndPbde/eXT169FCPHj0c/Up79uzR1KlTNWHCBLcdh/1Fzx09hZ4wYMAA7d27VxcvXlSxYsUUExOjp59+2uWh2tQIBTL66aefNGjQIFWsWFFpaWkaOnSoIiIijMwF3rdvX7Vq1UpXrlxxTNc1d+5cTZkyxSMzZpgyaNAg9e3bV2fPntX777+vnDlzaurUqZo9e7axm4w9eW5nz56tCRMm6Nq1a45thQsX1oYNG1xeK30YuXDhQobHkrklrQcOHKgvvvhCZ86ccfwO586dq8TERA0dOtRITbsPP/xQc+fOVUpKivLly6e4uDiVK1cuw9VYVztw4IDWrVtnbP93wmT7pKdfi+zTbtrly5fPSE5Jfw5z5syZ4WuuvtKTbZYp99Td0tL/za3pruntdu/erU8++cTRm1S+fHn17NnTLVPqffbZZ1q3bp0aN24sy7K0cuVKvfDCC+rWrZvx2u5Up04drV27ViNGjFBYWJgsy9Lw4cM9OqWXCUuXLtWYMWN06dIlSXLLghaeEBoaqokTJzquCBw/flw9e/bU8uXLjdRLSkpSYmKi7rvvPknSvn37dP/99xvrwbW7ePGi7r///gzbTpw4YXw5YrujR48qf/78RkdvPXVu69Spoy+++EIfffSR+vbtq507d2rLli368MMPXV7rvy3Yk5U+nNnVqVNHK1asUEREhN58802dPHlSM2fONDoLVK9evdSjRw9js3Wll34RofRMv+Z66vniTrVr11afPn1kWZYmTZrkGKyyLEuTJ0926T112Wak2h6aU1JStHHjRtWtW1fnzp3Tt99+a+zOWk9Nb1epUiXNmDHDyL7/mxUrVmjRokWOvt+WLVsqNDQ0y4XqoKAg+fr6qnjx4vrtt9/UqFEj4z2FnjBlyhTNnj07w6wGWVFKSkqGFpsiRYoY7Sn08/PLMHtMhQoVjNWSpFOnTsmyLHXp0kWfffaZozc2NTVVnTt3VnR0tNH6diYWSLqZu8+tXYECBVSkSBE9/vjj+s9//qPQ0FB99dVXRmplxdD83wQFBSl37tyO6T3r1auncePGGa15/PhxNWvWTIGBgfL19XUEXBOrOJYuXTrTFQd38NTzRbpxT0tqaqrjsc1mU44cOVSsWDENGDDAZR/2g4ODHaPi6f8tyeU3wWebUG03ZMgQpaWlqW7dupJuXH7Yv3+/hg8f7vJanp7ezhMsy8pwI52/v7+xOYY9qWDBgpo2bZqqVq3qeGG/evWqsXpJSUmaMWOGDh8+rKFDh2rWrFnq0qWL8RUACxYsmOUDtXRjKe1Zs2Y52ncWL17sttFbd5g0aZJ27Nih+Ph4tWvXzhGqfX19jd8Mml0EBARo+/btevzxx7VhwwY9+eSTjis8cF7u3Lm1bNkylS1bVl999ZWCgoKMn9/hw4e75V6k7KpmzZp6+OGHHa+7K1as0M8//6w6deooPDxcs2bNckkdd34IzXpp5784cOCAY5qn/Pnza9y4ccbmUfb09HaeEBwcrF69ejnm/42KijI2HZonRUREaOPGjSpfvrzq1aunVatWadiwYcbqDR8+XPnz59evv/4qb29vHTt2TOHh4cZHasqWLavevXurevXqGW7oMNWz6SkREREaMWKEPv30U1mWpeDgYCMftD3F/qYyffp0denSxcNHkzUNHjxYixcv1sCBA7V48WI1aNDA7dOxuVNycrIOHz6s1NRUlSxZ0vjgSUREhL7++ms1bdpU3333nYYOHaq33nrLaM0BAwZozZo1RmvYmVpU6262Z88eDR482PH41VdfVWhoqEaNGqWpU6d68Mj+d9kuVKelpSk+Pl5BQUGSpLNnzxqbas6T09t5qndy8ODBmjt3rpYvX+4IJ+5amMCd5syZ45h+qH379mrfvr3Gjx9v7APEL7/8oqioKP3www8KCAjQmDFjjH0YTO/KlSvKlStXprlDs1qoLlCggD766CO31kxJSdHmzZszfcA2eW6joqLcFqo9eR9L48aNVatWLT3//PN65pln3DLtXKlSpTRo0CBJ0uTJk43Xk6R58+apTZs2bqmV3s8//6w+ffoob968SktL05kzZzRlyhSjrQMFCxbU66+/LunGDZPuYG/JKF++fIYrsA899JDLa3miRfK/tZuYfp338vLSpk2b9Nxzz0mSNm3aJD8/P505c+aeneQg24Xqbt26qVmzZnrmmWdkWZb279/veCF0NU9Mb+ep3smbb7Kw1123bp1GjhyZZW5s88RiIdKNXrOkpCTHOT5//rxbgsKtLpuZWojAE+rUqfO359FE76Rdv379dPLkSRUvXjzDMZh8IytRooQ+/vhjVahQIUNIMDHvrt3+/fv1119/KSQkRD4+Plq/fr3xD/eff/65Nm3apK+++kqDBg1S+fLlVadOnUwLGrlC+/btM/0N+fj46OGHH1a3bt2MBDC7OXPmeCRUR0REaMKECY4Q/dNPP2nEiBFavHixy2vd6jlqP7/9+vVTmTJlXF7Tbt++fdq3b5+k/5slIikpSZs2bTJW053svcXHjh3T0aNHVatWLXl7e2vz5s0qUaKE8VA9atQoDRw40LEgX9GiRTVq1CgtWLDA8QHKlbZs2aLq1atn2LZu3TqXtuJmm9k/0ouLi9NPP/0kHx8fPfnkk45Ra1fbtm2b3n333dtOb2diRbz33nvP0TtZsGDBTL2Tpj5ApNe0aVOP3HDhDvv379ehQ4c0adIk9e7d27Hd29tb5cuXN3bH9LJly7Ro0SIdPXpUDRo00IYNG9S9e3e98sorRurZrV27VlOmTNHVq1dlWZbS0tKUmJiobdu2Ga3rLidOnPjbr5sMfyEhIW67QdCuffv2mbaZmnfXrnXr1po5c6YCAgIk3VjOOywsTAsWLDBWU7rxwf7AgQPatm2bvvrqK6WkpGjr1q0ur7Nz585b1o6JidHq1auN/pydOnVSUlKSKlSokKE9y3Tbycsvv6wVK1Zk2Na4cWNHa6Ur3eo5aj+/kyZNynQcJiQnJ2vdunWaP3++fv75ZyOr/nlS+/btNXHiROXPn1/SjSvdPXr0MHaj7c0uXrwob29vY3Njr169WklJSZnet5OTkzV9+nStX7/eZbWy3Uj12bNntWbNGiUkJMiyLP3yyy+KjY3V2LFjXV6ratWqmjBhgj755BNH72v58uX14YcfGlti+m7onXTnCl/uln6xEHcu6tC0aVOVK1dOO3bsUGpqqj755BO3TPM0btw4jRw5UjNnzlS3bt20efNmnT9/3nhddylcuLAOHTqkgIAAx4ji6tWrVapUKZUoUcJo7eLFi2doRXMHT0z5ePNVleTkZOP3lHTu3Fl//vmnSpcurcqVK2v69OnGni/pV+JMr0qVKkbnUJZkfJnu27n//vu1YcMGx4IaGzZsUN68eY3Uut0H24cffviW9yy50vHjx7VgwQJFRUXp4sWL6tatm/Ga586d07Bhw7R9+3alpqaqSpUqGjZsmLHFqCQpPj4+w+8vICBAp0+fNlbP7tdff9Wnn36qixcvKv34rqs/5F+5ckV79+5VQkJChpk/vL291bdvX5fWynahumfPnnrkkUf0008/6YUXXtCWLVuMhhNPTW/nzt7Jm2WHix8bNmzQ6NGj3TZ/c69evTR58uQMQa9Dhw764osvjNSzu++++xQcHKwff/xRly9fVq9evRQaGmq0pjtt27ZN/fv314QJExyh+vTp0xo1apQiIyON3mSbmJiokJAQlSpVKsMsLiZGjYcMGaIRI0bcslXBVE27V155Rc2bN1fNmjWVlpam77//Xh06dDBWT5LKlCmjq1ev6sKFCzp79qzOnDmjxMTEDC0vJh05ckSLFi1yjPyZ0rNnT129elXHjh1TqVKllJiYmGlxCxOGDx+ud999V+Hh4bIsS4888oiRganbOXjwoKZNm2Zsisb169dr/vz5+uWXX/Tiiy9q7NixGjJkiFtuPB06dKieeuopRUREKC0tTQsWLFB4eLjR+biff/55dezYUfXq1VNaWpqio6PVoEEDY/XsBgwYoFatWqlkyZJGB+Natmypli1batu2bapataquXLmitLQ0x9zcrpTtQvX58+c1b948jRkzRvXq1VO3bt302muvefqwXM4TvZN2WXmk2u7jjz92y/zNPXr0UExMjOLi4hzTQEo3erhNLfWcXo4cOXT48GEVL15cO3fuVHBwsC5fvmy8rrtMnDhRn3/+eYbfY4cOHfTss89q+PDhmj9/vrHa9htd3aFVq1aSbnw4c7dOnTopODhYO3fulJeXlyZOnGj8Kot99CkhIUHr1q3T8OHDdfLkSR04cMBoXbtr164pICDA+M2v27Zt09ChQ5Wamqr58+fr5ZdfVmRkpPElwx977DEtWrRIV69eVVpamluWtE4vICBAzz//vJEeeenG8yQkJEQLFixwBHd3va8dP348w02+nTt3Nt7i8t5772nt2rXauXOnbDabXn/99QzvN6bkyJFD7dq1M17HrnDhwmrRooWOHz8uy7L00EMPacKECXrsscdcViPbhWr7jBiPPfaYYmJiVKFChXv2LtO/c+HCBe3YsSPDpQ6TvZPpbyZJHwBNTpbvSe6av3nMmDG6cOGCIiIiMkw95OPj45b5U9966y199NFHGjdunKZPn64FCxa4fCl2T7p+/fotf49lypQxfkNm5cqVtXHjRm3fvl0pKSmqUqWK43K6q5UrV85R89ChQzp//rzbrijZbwjfu3evUlNTZbPZVKpUKaMzIG3atEnbtm3Ttm3blJaWpvr167t1Pu4nnnhCTzzxhPE648eP19y5c9W5c2cFBQXpq6++0ttvv208VN98xSP9oh3dunXLNPOUqz366KNGV/xbsWKFoqKi9Oqrr6pw4cJq1KhRhkVKTLLZbDp16pQKFSokSTp58qRb1np44IEHVKJECYWGhmr//v3G60lSjRo1NHv2bNWoUSPDPQGmbu59//331alTJ8f0hatXr9bQoUNd2haX7UJ1cHCwevfurQEDBuj111/XL7/8kuGXaYInprdzd+9kVlue+79x1/zNR48eVdmyZdWxY0edPHkyw9eOHTtm/MpD5cqVHT2jS5YsueXf8r0sJSVFSUlJmRbRSUpK0vXr143W/uyzz7Ru3To1btxYlmXp008/1R9//GF0aq2hQ4dq48aNeuSRRxzbTN+oOHbsWB09elTNmzeXZVlaunSpYmNjFR4ebqzmnDlzVLt2bXXo0EEFCxY0VsfT0tLSFBgY6Hhs+j6A9HV8fHwcqxGvWrVKf/31lwoWLKjw8PD/Op3i3a5UqVIaMGCA3nnnHX333XeKiorSmTNn1KVLF7Vt29boB7Q+ffqoVatWqlChgizL0r59+zRixAhj9STpiy++0IYNGxQfH68GDRpo6NChatGihd544w2jdZcvXy5JmjlzpmObyUG48+fPZ5gPvGHDhvrkk09cWiPbheoOHTroypUrKly4sMaPH69du3apR48eRmp5Yno7T/VOZqXV5+6Eu+ZvnjdvnkaOHHnLeW9NhyFJ2r17t7744gtdvHgxw3bTdd2lbt26GjZsmIYOHer4cJSUlKQRI0ZkmnrJ1VasWKFFixY52rNatmyp0NBQo6F669atWr9+vfGVONPbsmWLli1b5hiZfv75543PsT516lTNmzdPERERSklJUXBwsNq1a2d8fYCb2a/UmfLggw/qu+++k81m06VLlzRnzhyjU/jZ7du3T0uXLnU8Ll26tJo3b67IyEhjMz/d6sOvad7e3nrhhRf0wgsv6Ny5c1q+fLk+/PBDo6G6du3aqlChgvbv36+0tDQNGzbM+FXJqKgoLVy4UC1btlTevHm1ePFivfLKK8ZD9bfffmt0/zfz8/PTL7/8orJly0q6sRigfVYiV8l2obpt27aOFZLKli3rOLkmeGJpYE/2TmYn9llWTI/cjhw5UpLnrgQMHDhQPXv2dMsbtSf06NFDAwcOVNWqVVWyZElZlqVDhw7p+eefz9BuY4JlWRnud/D39zd+mbdQoUK6fv26W8NJamqqUlJSHDVTU1Pl7e1ttOa4ceNuOTpuckrRuXPn6tVXX3U8jomJ0ZAhQ4zOADJ8+HBFRETo1KlTevHFF1WlShW3rASanJys33//XSVLlpQk/f77747pNpOTk43UrFevnmrXrq1mzZo51n5wp/z586tjx47q2LGj0TqXLl3SmjVrdOHCBVmWpV9//VWS2WkSvby8Mrwm+Pv7G3+OStKff/6puXPnZpiyNTY2VnPmzDFSb9CgQerVq5fy5s0ry7J08eJFTZgwwaU1sl2oducKSZ6Y3s6TvZPZSUxMjN566y0lJiZqwYIFateunT766CNjH9L279+vzz//PNPv0/SIccGCBbPc6onp+fr66sMPP9SxY8d08OBBeXl5qVy5co5+RpOCg4PVq1cvNWvWTNKNuchNzTby3nvvSboRaJs0aaJKlSpleNO81SI/rtK4cWOFhYWpUaNGkqSvv/5aL730krF6kmdGx1etWqXU1FS1bNlSEydO1MqVK9WvXz+jNQsUKKCxY8cqJiZGPj4+evzxx91yQ93gwYPVuXNnFShQQGlpabp06ZLGjh2ryZMnq0mTJkZqrlmzRmvXrtX48eN19uxZNW3aVC+//HKG9pesoE+fPsqTJ4/xGTHSq1y5ssaMGaNr165pw4YNWrBggYKDg43X7du3r+rWras9e/aoWbNm+uGHHxwf1EyoWLGi1q5dqyNHjsiyLD366KMuH2DINou/REVFqVmzZqpTp06mr5m+ka5BgwaO0XF38UTvZHbStm1bDR8+XP369dOyZcu0ZcsWTZgwwciKYtKNv6F27dqpRIkSGV5obzdHrqtER0drw4YNCg4OzjCKmpWDtrtYlqV58+Zp+/btsixLwcHBatWqlZHR6qioqL/9uj3Ym2K/IVO6MX/z888/b7Reo0aNFBUV5XjDvH79upo3b65Vq1YZq5mYmKiePXvqt99+0/PPP6933nnH+P0HW7Zs0YABAxQUFOQItx999JFbRnJTUlL0n//8R97e3ipWrJh8fX2Nt7vYrV+/XiNHjtSlS5dUtWpVDRgwwNj0eu5mahGdv5OWlqaFCxdq69atSktLU3BwsFq3bm38ypn9Zx0/frxq1qyp8uXLq3Xr1hlai1zp8uXLmjJlinbu3CkfHx9Vq1ZNXbt2dWkLSLYZqf7yyy/VrFkzt/fwSJ6Z3s4TvZPZybVr11S8eHHH4+rVq2vMmDHG6uXIkUNt27Y1tv/bmTt3riRpz549GbYTqv93p0+fVmBgoE6dOqXnn38+Q8CMj483ctUsfWi2Lzize/du/fbbb8YDtZ1lWY5WENPcOTqevoe4Xr16OnjwoHLmzKnvvvtOktnnyqhRo/Tvf//bMUXhzz//rPfff99YKLE7d+6chg8frm3btik1NVXBwcH64IMPjC5QcvToUa1YsUKrVq3SQw89pHfeeUf16tXT9u3b1blzZ61bt85YbXd64oknFBMT45bFvey8vLz00ksvqVatWo4roaZei9ILCAhQUlKSHn30Uf3yyy+qVKmS0RvEw8PDVaRIEY0aNUqWZWnJkiUaMmSIIiMjXVYj24RqT3L39HaSZ3onswP7FY+8efMqJibGMSqzYsUKI6NS9hk/nnjiCc2aNUt169bNcNne9Ive6dOn3X6VJasbPHiwpk2bpnbt2mUY1XPH9JPvv/++vLy81LZtW/Xr10/Vq1fX9u3bb3kjrKt4YpaTbt266YknnnCMjnfr1s3Y6Hj613VJqlmzpi5duuTYbjJU+/n5ZQhfTz75pLFa6dkXKBk5cqQsy9L8+fONLVBy9epV5cyZUx07dlRoaKg+//zzDDfG16pVS1u2bHF5XU/5/fff1axZMxUoUED+/v5ueV349NNPNX36dOXNm1c2m81tU+G+/PLL6tatmyIjI9WqVStt2rTJ6Gw9R48e1aRJkxyPw8PDXd4Wlm3aP8qVK3fLX1ZWm0fZ3jt59OhR/fXXX27tncwOmjVrpqioKB09elQDBw7Uzz//LH9/fz366KMaN26cihUr5tJ6t2pXsnPH3+2QIUNUp04dPffcc26ZK9VT0rdi2OeMbt++vdHZIi5cuJBpaefY2Fg9/PDDxmqGhoZqyZIljinP7CtkmhzZbNy4cYZZTq5du6bQ0FDjH9ZiYmK0c+dO+fr6qkqVKi5/bt4NPvjgAyUnJ6tly5by9vbW119/rdjYWIWFhUkydzW0SZMmjunQ7Ey1LTRv3lxLlizR0KFD3XITpqedOHHilttNzrD1wgsvaOHChcZXAL1ZTEyMHn74YeXOnVt//fWXfv75Z1WvXt3YqqBvvfWWOnTooKeeespRf8qUKS4dVMi675I3KVq0qKZPn+7Wmp6Y3s7eY2u61za7K1q0qObNm2d8RbEvv/zSaMj6b7777jvH7AXpRzBMLcfuKbeaS/nEiRNGZovwxFSbdqmpqUpLS9M333yjYcOG6dq1a8YXufHELCdffvml5syZozp16igtLU2zZs1St27djLa6bNq0SR999JEuXryY4WZikx98Dx06JEmZLl9PmjTJ6NVQdy5QcvXqVb3zzjvatGnTLWcWyWoDRYGBgdq4caMSEhIk3XjOxsbGqk+fPsZqFipUyCPrD/Tt29fx4frBBx80tkqwfXG669eva+3atSpWrJi8vLz0559/urwXP9uEal9fX7fPpeyJ6e3uht7JrOz333//2+VbXf0G2qZNG+XMmVPVq1dX9erVVaVKFbcuCbx582a31fIkd84WkX6qzfR98j4+PsZaFOxtS02bNlWNGjX09NNPq0KFCmrQoIFat25tpKadO2c5sVu0aJGWLFnieK50795d7dq1M/oaOHLkSA0cONCtszZ4aqrNWy1QYmoUecSIEYqNjdWePXuyxWBRz549de3aNR07dkyVKlXSrl27VLFiRaM1H330Ub366quqUqVKhpZRk9P4Se6738ydz5NsE6qffvppt9f05PR2nuidzA7cfcVj06ZNOnbsmHbv3q0NGzYoMjJS+fLlU7Vq1VSjRg3jL7ZJSUn6/PPPdfjwYQ0ZMkSzZs1Sly5dslyvvjvnUvbEVJv2G7U7duyosLAwx882Z84c45d8w8PDNW/ePC1btizDLCcmBQQEyNfXN8Nj03+z+fLlU+3atY3WuJm7F/myc+cCJREREYqKitLatWuzxcDQ4cOHtW7dOkVERKh58+Z69913jY5SSzemTvXEyqMXLlzQzp07tXPnTkn/147r6r9f+4DqzW1+9kWhXCnbhOqhQ4d6tLa7p7f7+eefHb2TLVq0cPROwjmeuOLxyCOP6JFHHlFoaKguXbqkb775Rp9//rk+/fRTHThwwGjt4cOHK3/+/Prll1/k7e2tY8eOKTw8XOPGjTNa1908MZdyaGioZs2apYSEhAwLH4wdO9Zo3fQfFkwGavtNtpLcNsuJvVc8b968atOmjRo2bCgfHx9FR0fr0UcfdXm99J555hmNGjVKzz33nGN1TsnsLE/pr4KmpKTom2++0X333WesXnr58+fP8Ds11VNts9nUpk0b/fbbb45e8fSy2jSxBQoUkM1m02OPPabffvtNTZs2VVJSktGaPXv21Llz57Rv3z6lpqaqYsWKRmdykaRdu3bJ29tbP//8sySpfPny6t69u9Hny63a/Fy9KFS2CdWe5Inp7TzRO5kduPuKR0pKivbs2aNNmzZp8+bNSkxMVLVq1dSnTx+3TM7/yy+/KCoqSj/88IMCAgI0ZswY44toeEL62SIsyzI6W4Rdr1699Mgjj+inn37SCy+8oC1bthibRut2bUsmb9S2z25yq6tzpm+ytc/TbH/Nq1GjhrFadvv375ckxwp4kvnBk5vbIapVq6ZXXnnF+MjmrcTGxhrZ75dffqmDBw8qPDzceDvC3aBkyZIaMWKE2rRpo3feeUfx8fHGVqm027RpkwYNGqSKFSsqLS1NQ4cOVUREhLErL9u2bdO7776r7t27Kzw8XMnJydq7d6/efvttRUZGGmsPc0ebH6HaDdw5vZ0neyezA3df8Xj22Wf11FNPKSQkRB9//LHbb1q02WxKSkpyXGI+f/682/pF3SH9aGrJkiUzrOZ18uRJo1MWnj9/XvPmzdOYMWNUr149devWTa+99pqRWp64UdsTawJ4MnR5or85/d+vZVn6448/dOHCBbcfhyRjrwu5c+fWs88+q/nz57t9dgpP+OCDD7R3716VKFFCvXv31tatW/Xhhx8arTlhwgTNnTtXRYoUkSQdP35cPXv2NBaqp0yZounTp+uJJ55wbCtTpowqVKigUaNGGVum3B1tfoRqgzyxNLAneyfheq1bt9a2bdu0ZMkS/fXXX6pevbqeeuopo1O9pRcWFqaOHTvq9OnTioiI0Pr167PUaNGtRlNtNpvi4+OVkpJidJYT+932jz32mGJiYlShQgVjC6N4om1JujE7xX333afAwEBNnz5dP/74o8qVK6dOnTpluDHJ1aKiojR69GhdunRJktwya40n+pvT//3abDblz59fgwcPNlbPk6pVq5bp/AYFBWnjxo0eOiLX2rVrV6bHefLkUf369XXx4kWjtVNSUhyBWpKKFCmitLQ0Y/WuXLmSIVDblStXzujPeqs2P/u/XYVQbZCnp7dzV+8kzBkwYIAkKS4uTlu2bNGcOXM0cOBAlSpVSjVq1FCbNm2M1m/atKnKlSunHTt2KDU1VdOmTdPjjz9utKY73TyampCQoDFjxmjz5s0aMWKE0drBwcHq3bu3BgwYoNdff12//PJLhl5cV/LEjdqffvqp5s+fL29vb1WuXFmxsbF68cUXtXPnTg0ZMsRoX/7HH3+s2bNnq1SpUsZq3MwT/c3uvhpQunTpW35wcMfy5DExMY5/Jycna8OGDfrpp5+M1nQn+6IkFy5c0PHjxx2DJ3v37lWpUqU0f/58Y7UfeughzZo1Sy1atJAkLV682OiH8KtXryolJSXTNIwpKSlGV1x1S5ufBbeIi4uzLMuydu3aZX311VdWQkKCkTply5a16tSpk+m/2rVrW3Xq1DFSE+5x/fp1a/fu3db06dOtRo0aWdWrVzdeMyYmxnrrrbcsy7KsP/74w3r11VetQ4cOGa/rCVu3brXq1KljDRkyxLp8+bJbah49etSyLMs6cOCANXPmTOuvv/5yS113aNiwoXX16lXrzJkzVsWKFa2rV69almVZKSkpVr169YzWbtOmjdH936kWLVoY2/e3335rHTt2zLIsy1q/fr3VtWtXa+LEiVZycrKxmnebl19+2dOH4HKdOnWyjhw54ngcGxtrvf7660ZrnjlzxurTp49VpUoVq3Llylbv3r2t+Ph4Y/WGDRtmjRo1KsO2lJQUa/jw4Zm2u8qhQ4cyvb6eOXPGGjx4sEvrMFLtBu6c3s4TvZMwZ8OGDdq7d6/27Nmj2NhYVahQQVWrVtWECRMy9P+aMmTIEEe7R/HixR03lsybN894bXe5evWqRo8e7Ridrl69utF6N1/mjYuLkySVLVtWx44d88jUVib4+PgoICBAAQEBKlKkiAICAiTduIJm/7cpZcuWVe/evVW9evUMo/8mlwx3Z3/zjBkztHr1ao0ZM0YxMTF65513FB4erj/++ENjxoxReHi4kbqetGzZMse/LcvS77//nmHaxKzi5MmTGRYkeeihhzL8bZkQExOjjz76KMO2devWqV69ekbqvfPOO+rWrZtefPFFlStXTqmpqTpw4IBj3mpXmzx5sj7//HNJN/q5q1SpohkzZujTTz91rK7oKoRqN3Dn9Hae6p2EGXPnzlVwcLAGDRqkcuXKua2X2u7atWuqWbOm43H16tWz1HR627Zt0+DBg1W9enWtXLlSuXLlMl7Tfpk3PZvN5riUbZ9F4l6X/m/15puBTLcKXLlyRbly5crUHmAyVKef79Z0f/Py5cu1YMECBQQEKDIyUnXq1NErr7wiy7LUsGFDIzU9bceOHRke58uXTxMmTPDQ0ZhTpkwZDRgwQA0aNFBaWppWrVqlSpUqGam1evVqJSUladKkSerdu7dje0pKiqZNm2YsVOfMmVNffvmldu7cqZ9//lk2m01hYWHGfs5ly5Zp7dq1io+P16RJk/TZZ5/pzJkzmjhxop577jmX1iJUu4E7p7fzRO8kzLF/uvaU/Pnza968eXr55Zcl3XgRNrXIgyd07NhRPj4+2rx5s7Zs2eLYbhmcau7mWSL++usvhYeHq2TJkho9erTL63nKkSNHHPMKp/+3ZVk6evSo0dqeWLranf3NNpvNMdq/Y8cOvfrqq47tWVVWW478diIiIvTVV185eqirVavm+P262pUrV7R3714lJCRk+NDi7e2tvn37GqmZXuXKld1yz1muXLkUFBSkoKAg7d+/X02bNtW///1vIwt8EaoN8sT0dp5c5AZZz6hRozRs2DCNHTtWvr6+evbZZxUREeHpw3IZk3Ml34lFixbpo48+UlhYmDp16mRsFUdPmDZtmttrdu3aVdOmTVOdOnVuGTBN/L7j4uI0YsQIHT16VE8//bT69etn/AZFb29vXbp0SVevXtXBgwcdLUsnTpzIdPOXCUlJSZoxY4YOHz6soUOHGl1p9Xa/SztPP4ddrVu3bvr888/1+uuvG6/VsmVLtWzZUl999VWmlQWz0k2g6a+a5cuXTwMHDjRWi1BtENPb4V730EMPZQpHWWkRIU+1SsXFxWnQoEG6cOGCZs2a5Zb+eHfzxKxH9hlb3Dln9KBBg1S2bFm1bNlSa9as0ahRo4yPqnbp0kVNmzZVSkqKWrRooaCgIK1evVoTJkxQjx49jNaW/m+l1V9//dX4SquemP/bkxITE3Xq1CkVKlTIeK09e/YoLS1Ns2fPVunSpR1Ti6akpOiDDz7Q2rVrjR+DO6T/UGZyKk+JUO02TG+He9HatWs1ZcoUXb161bGU9rVr17R9+3ZPH9o9K/3odOfOnd3eJ5+VBQUFSZICAwO1ceNGJSQkSLrRghcbG2tkpcG4uDjNmDFDklS1alWjfdt2ISEheuqpp3T+/HnHKpy5cuXSyJEjja1Gl547V1pdtGiR3nrrLUk3birOmTOnkTp3i/Pnz6tOnToqUKCA/P39jbaibd26VTt37lR8fLwmTpzo2O7j46NWrVq5vJ6npF9RNi4uzvFvE+eWUG2QJ5YGBlxp3LhxGjlypGbOnKlu3bpp8+bNOn/+vKcP6542ZMgQSTdWMUt/x73lhgVKsouePXvq2rVrOnbsmCpVqqRdu3apYsWKRmqln4HC19fXbTNSFCxYMMNMMbVq1XJLXcm9K61u3LjREarbtm2rqKgoI3XuFv/+97/dVss+t/qyZcvc8mHQU9w54k6oNojp7XCvu++++xQcHKwff/xRly9fNjpzTXaRfhELmHH48GGtW7dOERERat68ud59910jo9S3kpVvFrRz50qrVrrVTtP/O6ty51UWux07dmSaXUXKOjeHurPNj1BtENPb4V6XI0cOHT58WMWLF9fOnTsVHBysy5cve/qwgL9VoEAB2Ww2PfbYY/rtt9/UtGlTJSUlGal18xVJ++XlrHxF0p0rrab/kJIdPrC48yqLXfr7H+yrgRYrVsxozayKUG0Q09vhXvfWW2/po48+0rhx4zR9+nQtWLDAsZQtcLcqWbKkRowYoTZt2uidd95RfHy8kpOTjdTKKjdz/RO//fabPv30U02YMEGHDh3S0KFDNWLECCNB7MKFC1q2bJksy3L8O72s1rbgiasszZo1y/C4RYsWatOmjdGaWZXNyg7XUwA45cKFC/L29lZaWpruv/9+Tx8O8LdSU1O1d+9eVapUSd988422bdumVq1aZclZVjyhZcuW6tmzp2NhqC1btujjjz82stLqe++997dfzyotCnatW7fW/PnzNWfOHOXKlUtNmzZVaGioli5d6rZj+OOPP9SlSxe3zr2eVTBSDeC2YmJi9O677youLk6WZalYsWIaO3asHnnkEU8f2j3vpZdeUtOmTdWkSRMFBgZ6+nCyjD///FO5cuVyrM5Wt25dVahQQRMnTnRMuQfnuHOl1awWmv8bd15lsStdurRsNpujZz1//vzq16+f0ZpZFSPVAG4rNDRUvXr1Uu3atSVJ69ev18yZMzV37lwPH9m978SJE1q2bJlWrVqlIkWKKDQ0VHXr1nXb7BFZ0eTJkx2rkE6ZMkVVqlTRjBkzNG3aNFWsWNEx9R2c06FDB4WEhGRYaTU6Oprz6wLpr7J8++232rp1q1q2bKlSpUp5+tBwBwjVAG6rWbNmmaawatq0aaa+Rjhn/fr1GjlypBITE/Xyyy+re/fuypcvn6cP655Tt25dzZs3T/Hx8Zo0aZKSk5N15swZvfvuu3ruuec8fXhZxsmTJzVs2DDt3LnTsdLqkCFD9OCDD3r60O5pFy9eVGpqqmMti507d6pEiRLG17ZITk7W/PnztXPnTvn4+KhatWpq0aJFtrgx1NVYdQDAbVWqVElTp07VmTNndP78ec2ZM0fFixfXyZMndfLkSU8f3j0tISFBS5cuVYcOHfThhx+qTZs2Wrx4sR599FG98cYbnj68e1KuXLkUFBSkcuXKaf/+/Xr88ce1bNkyArWL2Vda3bt3r3bu3KkpU6Yob968Rmtev34907asNKf7r7/+qkaNGunAgQOObVu2bFGTJk2MT8M5fPhw/fjjj2rWrJleeukl/fDDD4qIiDBaM6tipBrAbdWpU+e2X8uq04W5S3BwsGrXrq3Q0FA9++yzju2WZalnz56aMmWKB4/u3pT+KkqDBg20Zs0azx5QFuWJlVbDwsL02Wefyd/fX4mJiZo4caJWrlypzZs3G6vpTh06dFD37t0zrYi5adMmzZgxQ7NmzTJWu3Hjxlq5cqXjcVpampo0aZJhG+4MNyoCuC3u/jbnm2++Ua5cuTJsS0xMVI4cOQjU/6P0l6tz5MjhwSPJ2jyx0mrdunXVqVMnhYWFacyYMapSpYpWrVpltKY7Xbp06ZZLzD/33HOKjIw0WrtgwYI6fvy4ihQpIkmKj4/n5un/EaEawC199913KlGihIoUKaINGzZo8eLFKlOmjLp37y4fH146nLV582a3j/ZldekXYrEvwiIpSy/E4gmeWGm1Q4cOypMnj/r27avJkyc7bp7OKlJSUpSWliYvr4xduWlpacZm/2jfvr1sNpvOnz+vl19+Wc8++6y8vLz0448/Mv3k/4h3RgCZzJgxQ6tXr9aYMWMUExOjd955R+Hh4frjjz80ZswYhYeHe/oQ73meGO3L6rLjQiye4M6VVu3BT7rx4Sh37tyKiIjQzJkzJUlffvmlkbru9uyzz+rjjz9W7969M2yfOnWqypUrZ6Rmr169brn99ddfN1IvOyBUA8hk+fLlWrBggQICAhQZGak6derolVdekWVZatiwoacPL0vwxGhfVle4cGFPH0K24M6VVm8X/LKat99+W126dNHKlSv15JNPyrIs/frrr8qfP78++eQTIzXTL0/++++/6+LFi+I2O+cQqgFkYrPZFBAQIEnasWOHXn31Vcd2uIY7R/sAV6pcubIjkC1ZskQXL140ttJqdgl+uXPn1pw5c7R9+3YdPHhQXl5eatu2rWMRI5OGDx+ub7/91tFTLd14rc8qVwHciVANIBNvb29dunRJV69e1cGDB1W9enVJNxYsoZ/aNdw52ge40okTJzR48GCdOHFCc+bMUb9+/fSvf/1LDz/8sLGa2SH42Ww2Va1aVVWrVnVr3c2bNys6Opqbe12Ad0cAmXTp0kVNmzZVSkqKWrRooaCgIK1evVoTJkxQjx49PH14WYI7R/sAVxo6dKjeeOMNRUZG6oEHHtBLL72kAQMGaM6cOcZqEvzMKVKkSJYc/fcEQjWATEJCQvTUU0/p/PnzKl26tKQbC2uMHDnyltM+4c6lv/HqVrLSyBuypvPnz6tGjRqKjIyUzWZTy5YtjQZqieBn0v33369GjRrpqaeekp+fn2P7qFGjPHhU9yZCNYBbKliwoAoWLOh4XKtWLQ8eTdaRXW68QtaVI0cO/fXXX44Ph7t3784Qxkwg+Jnz3HPPseqoi7CiIgC42cWLF5Wamqr8+fNLknbu3KkSJUo4HgN3s/3792vIkCE6duyYHnnkEV28eFETJ05UhQoVjNWMioq65fZmzZoZqwn8U4RqAHCjX3/9VV26dNG//vUv1axZU5I0YcIELV26VJ999pmj3Qa4myUnJ+vIkSNKTU1VsWLFjI1Unz59WoGBgTp58uQtv/7QQw8ZqZsdlC5dOkMrms1m03333adq1app6NChyps3r+cO7h5FqAYAN+rQoYO6d++eqTd906ZNmjFjhmbNmuWZAwP+i7i4OI0YMUJHjx7V008/rX79+um+++4zWrNr166aNm2a6tSpI5vN5lgdk1UyzThz5owWLlyoP/74Q+PHj/f04dxzCNUA4EbNmjW77aXsJk2aaPny5W4+IuDOvPHGGypbtqwqVaqkNWvWSKKnOatq1KiRvv76a08fxj2HGxUBwI1SUlKUlpYmLy+vDNvT0tKUnJzsoaMC/ru4uDjNmDFDklS1alU1bdrULTXdPToOydfX19OHcE/y+u/fAgBwlWeffVYff/xxpu1Tp05VuXLlPHBEwJ1JH7R8fX3dErwGDRqkYsWKqX///kpKSmJk3A3WrVtHP/X/iJFqAHCjt99+W126dNHKlSv15JNPyrIs/frrr8qfP78++eQTTx8ecMf+br51V/HE6Hh2Ye9TT+/KlSsqWrSoxo0b56GjurcRqgHAjXLnzq05c+Zo+/btOnjwoLy8vNS2bVtVqlTJ04cG/K3ff/9ddevWdTyOi4tT3bp1jd406InR8exi9uzZGR57eXnpvvvuU65cuTx0RPc+QjUAuJnNZlPVqlVVtWpVTx8KcMfWrl3r6UNwy+h4dlG4cGFPH0KWw+wfAADgrlSuXLkMK7vGxcWpYMGCTKmHuxKhGgAA3JVOnDjxt19ntBV3E0I1AAAA4CSm1AMAAACcRKgGAAAAnESoBoAsYMeOHXrppZf+6/d9/PHH2rBhgyRp4MCBjjmAAQDOIVQDQDayY8cOpaSkePowACDLYZ5qALgHLV68WDNnzpSXl5fy5cun0NBQx9cuX76sYcOGKSYmRjabTc8995zefvttLViwQAcOHNDYsWPl7e0tSdq7d69at26tM2fOqGTJkvrwww+VM2dOHTp0SBEREbpw4YJSU1PVvn17tWjRQgkJCXrvvfd09OhReXl5qWzZsho+fLi8vBijAZC9EaoB4B4TExOjyMhIRUVFqVChQpo1a5Y+/fRT+fjceEkfOXKk8ubNq5UrVyo5OVlvvvmmPv/8c3Xp0kXR0dFq27atXnzxRX3zzTeKi4vTl19+KT8/P73yyitat26dXnrpJfXu3Vtjx45V2bJldfnyZbVq1UolSpTQkSNHlJCQoOXLlys1NVXvv/++jh8/rqJFi3r4rACAZzG0AAD3mG3btqlGjRoqVKiQJOm1117TsGHDHF//4Ycf1K5dO9lsNvn5+al169b64YcfbrmvF154QQEBAfL29lbJkiV17tw5HTlyRMeOHdOgQYPUpEkTtWvXTomJifr111/1zDPP6I8//lD79u01ffp0dejQgUANAGKkGgDuOd7e3hmWa05MTNSff/7peJyWlpbh+9PS0m7bR20f3ZZuLAFtWZZSU1N13333afny5Y6vnTlzRnny5JG/v7/Wr1+vHTt2aPv27erYsaMGDx6skJAQV/14AHBPYqQaAO4xVapU0bZt2xQfHy9Jmj9/vsaNG+f4eo0aNTRnzhxZlqWkpCQtXLhQ1apVk3QjkP+3GxUfe+wx+fv7O0L1qVOn9NJLL+nAgQOaO3eu3nvvPdWoUUP9+/dXjRo19Pvvvxv6SQHg3sFINQDcYx5//HH1799fnTp1kiQFBgZq2LBhmjZtmiRp8ODBGjlypBo3bqzk5GQ999xz6tatmySpdu3aGjNmjJKTk2+7fz8/P02dOlURERH697//rZSUFPXp00fPPPOMnnjiCe3cuVMNGzZUQECAHnroIYWFhZn/oQHgLscy5QAAAICTaP8AAAAAnESoBgAAAJxEqAYAAACcRKgGAAAAnESoBgAAAJxEqAYAAACcRKgGAAAAnPT/AHHLxVO5In8qAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x=p_cn_assets_info['clothes']).tick_params(axis='x', rotation=90)\n",
    "p_cn_assets_info.groupby('clothes').count()['quantity']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Backgrounds attribute"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "clothes\n",
       "Armour                232\n",
       "Blood Shirt           251\n",
       "Bra                   481\n",
       "Cardano Tshirt        278\n",
       "Clay Nation Shirt     773\n",
       "Hoodie                774\n",
       "No Clothes            291\n",
       "Orangutan              12\n",
       "Peace Logo Shirt      487\n",
       "Pink Fluffy Jacket    356\n",
       "Punk Jacket           256\n",
       "Rainbow Shirt         527\n",
       "Robot Body            252\n",
       "Spaceman Suit         210\n",
       "Suit                  202\n",
       "Super Hero            477\n",
       "Tentacles             181\n",
       "Tracksuit             204\n",
       "Tshirt Green          849\n",
       "Tshirt Grey           819\n",
       "Tshirt Red            827\n",
       "Unbuttoned Shirt      450\n",
       "White Vest            811\n",
       "Name: quantity, dtype: int64"
      ]
     },
     "execution_count": 22,
     "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": [
    "sns.countplot(x=p_cn_assets_info['background'])\n",
    "p_cn_assets_info.groupby('clothes').count()['quantity']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Accessories attribute"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "accessories\n",
       "Bowtie               709\n",
       "ClayPods            1184\n",
       "Dog Collar           306\n",
       "EarWax               651\n",
       "Flies                433\n",
       "Flower Necklace     1034\n",
       "Frog                 371\n",
       "Gold Chain           790\n",
       "Hearts               363\n",
       "Mushroom Earings     577\n",
       "No Accessories      1320\n",
       "Parrot               391\n",
       "Silver Chain        1184\n",
       "Spider               687\n",
       "Name: quantity, dtype: int64"
      ]
     },
     "execution_count": 23,
     "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": [
    "sns.countplot(x=p_cn_assets_info['accessories']).tick_params(axis='x', rotation=90)\n",
    "p_cn_assets_info.groupby('accessories').count()['quantity']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Hats And Hair attribute"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "hats_and_hair\n",
       "Alien Antennae                       124\n",
       "Alien Antennae & Long Hair            95\n",
       "Bald                                 195\n",
       "Beanie                               334\n",
       "Beanie & Brown Mullet                122\n",
       "Beanie & Mullet                      108\n",
       "Black Fringe                         331\n",
       "Black Mullet                         124\n",
       "Blue Fringe                          147\n",
       "Blue Mohawk                          168\n",
       "Brown Bob                            314\n",
       "Brown Fringe                         360\n",
       "Brown Long Hair                      125\n",
       "Brown Mullet                         120\n",
       "Bucket Hat                           334\n",
       "Bucket Hat & Brown Long Hair         104\n",
       "Bucket Hat & Long Hair               115\n",
       "Bull Horns                           143\n",
       "Bull Horns & Brown Mullet            121\n",
       "Bull Horns & Mullet                  109\n",
       "Cat Hat                              366\n",
       "Clay Nation Cap                      319\n",
       "Clay Nation Hat & Brown Long Hair    107\n",
       "Clay Nation Hat & Long Hair           87\n",
       "Clay Nation Hat & Mullet             117\n",
       "Crown                                119\n",
       "Exposed Brains                       121\n",
       "Exposed Brains & Long Hair           126\n",
       "Flat Cap                             315\n",
       "Flat Cap & Black Mullet              115\n",
       "Flat Cap & Brown Long Hair           127\n",
       "Flat Cap & Long Hair                 111\n",
       "Flat Cap & Mullet                    114\n",
       "Fringe                               347\n",
       "Green Long Hair                       96\n",
       "Green Mohawk                         183\n",
       "Halo                                 150\n",
       "Long Hair                             97\n",
       "Mohawk                               172\n",
       "Mullet                               121\n",
       "Octopus                              158\n",
       "Over Ear Headphones                  225\n",
       "Over Ear Headphones & Fringe         114\n",
       "Party Hat                            184\n",
       "Party Hat & Brown Long Hair          106\n",
       "Party Hat & Long Hair                 98\n",
       "Pigtails                             113\n",
       "Pink Mullet                          126\n",
       "Rasta Hat                            179\n",
       "Santa Hat                            161\n",
       "Shark                                158\n",
       "Spikey Black Hair                    401\n",
       "Top Hat                              206\n",
       "Top Hat & Long Brown Hair            123\n",
       "Top Hat & Long Hair                  131\n",
       "Turkey Hat                           214\n",
       "Wizard Hat                           161\n",
       "Wizard Hat & Brown Long Hair         131\n",
       "Wizard Hat & Long Hair               108\n",
       "Name: quantity, dtype: int64"
      ]
     },
     "execution_count": 24,
     "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": [
    "sns.countplot(x=p_cn_assets_info['hats_and_hair']).tick_params(axis='x', rotation=90)\n",
    "p_cn_assets_info.groupby('hats_and_hair').count()['quantity']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Wings attribute"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "wings\n",
       "Angel wings      30\n",
       "no wings       9970\n",
       "Name: quantity, dtype: int64"
      ]
     },
     "execution_count": 25,
     "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": [
    "sns.countplot(x=p_cn_assets_info['wings']).tick_params(axis='x', rotation=90)\n",
    "p_cn_assets_info.groupby('wings').count()['quantity']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create Rarity Coeff And Ranking (Unofficial)\n",
    "\n",
    "The rarity coeff is calculate by addition of the frequency attributes of each asset. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Calculate Coeff Rarity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>asset</th>\n",
       "      <th>policy_id</th>\n",
       "      <th>asset_name</th>\n",
       "      <th>fingerprint</th>\n",
       "      <th>quantity</th>\n",
       "      <th>initial_mint_tx_hash</th>\n",
       "      <th>mint_or_burn_count</th>\n",
       "      <th>name</th>\n",
       "      <th>image</th>\n",
       "      <th>body</th>\n",
       "      <th>...</th>\n",
       "      <th>accessories_freq_count</th>\n",
       "      <th>accessories_freq_pct</th>\n",
       "      <th>accessories_ratio</th>\n",
       "      <th>hats_and_hair_freq_count</th>\n",
       "      <th>hats_and_hair_freq_pct</th>\n",
       "      <th>hats_and_hair_ratio</th>\n",
       "      <th>wings_freq_count</th>\n",
       "      <th>wings_freq_pct</th>\n",
       "      <th>wings_ratio</th>\n",
       "      <th>rarity_coeff</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c282...</td>\n",
       "      <td>40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c282...</td>\n",
       "      <td>436c61794e6174696f6e37383939</td>\n",
       "      <td>asset1xkngd3y2njd3dzhfg25rtfp66gyvke6skqftxc</td>\n",
       "      <td>1</td>\n",
       "      <td>d7e089dce7c170f1af519fab710f9ed5d4d8680978035d...</td>\n",
       "      <td>1</td>\n",
       "      <td>Clay Nation #7899</td>\n",
       "      <td>ipfs://QmdXSPVnjRMsT2LuUMW5MMAKunwjpL34WDWjSy3...</td>\n",
       "      <td>Tan Clay: 2755 / 10000 (27.55%)</td>\n",
       "      <td>...</td>\n",
       "      <td>1184</td>\n",
       "      <td>11.84</td>\n",
       "      <td>0.1184</td>\n",
       "      <td>117</td>\n",
       "      <td>1.17</td>\n",
       "      <td>0.0117</td>\n",
       "      <td>9970</td>\n",
       "      <td>99.7</td>\n",
       "      <td>0.997</td>\n",
       "      <td>1.865</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 47 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               asset  \\\n",
       "0  40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c282...   \n",
       "\n",
       "                                           policy_id  \\\n",
       "0  40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c282...   \n",
       "\n",
       "                     asset_name                                   fingerprint  \\\n",
       "0  436c61794e6174696f6e37383939  asset1xkngd3y2njd3dzhfg25rtfp66gyvke6skqftxc   \n",
       "\n",
       "   quantity                               initial_mint_tx_hash  \\\n",
       "0         1  d7e089dce7c170f1af519fab710f9ed5d4d8680978035d...   \n",
       "\n",
       "   mint_or_burn_count               name  \\\n",
       "0                   1  Clay Nation #7899   \n",
       "\n",
       "                                               image  \\\n",
       "0  ipfs://QmdXSPVnjRMsT2LuUMW5MMAKunwjpL34WDWjSy3...   \n",
       "\n",
       "                              body  ... accessories_freq_count  \\\n",
       "0  Tan Clay: 2755 / 10000 (27.55%)  ...                   1184   \n",
       "\n",
       "  accessories_freq_pct accessories_ratio hats_and_hair_freq_count  \\\n",
       "0                11.84            0.1184                      117   \n",
       "\n",
       "  hats_and_hair_freq_pct hats_and_hair_ratio wings_freq_count wings_freq_pct  \\\n",
       "0                   1.17              0.0117             9970           99.7   \n",
       "\n",
       "  wings_ratio  rarity_coeff  \n",
       "0       0.997         1.865  \n",
       "\n",
       "[1 rows x 47 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def attr_freq_in_percent(attr_value_count):\n",
    "    '''Calculate the frequency of the attribute in percentage'''\n",
    "    percentage = (100 * attr_value_count) / nb_of_assets\n",
    "    return round(percentage, 2)\n",
    "\n",
    "def rarity_insights(attribute_name, attr_freq_count, attr_freq_perc):\n",
    "    '''Add insights to the assest attribute'''\n",
    "    return '{}: {} / {} ({}%)'.format(attribute_name, attr_freq_count, nb_of_assets, attr_freq_perc)\n",
    "\n",
    "# Clay Nation attributes\n",
    "attributes = ['body', 'eyes', 'brows', 'mouth', 'clothes', 'background', 'accessories', 'hats_and_hair', 'wings']\n",
    "\n",
    "# Create a new dataframe\n",
    "ranking_cn_assets = p_cn_assets_info.copy()\n",
    "\n",
    "# Total of assets minted and burn\n",
    "nb_of_assets = len(ranking_cn_assets)\n",
    "\n",
    "# Create column with rarity indicators for each attribute\n",
    "for attribute in attributes:\n",
    "    \n",
    "    # New column names to add to the dataframe\n",
    "    freq_count_col_name = \"{}_freq_count\".format(attribute)\n",
    "    freq_pct_col_name = \"{}_freq_pct\".format(attribute)\n",
    "    ration_col_name = \"{}_ratio\".format(attribute)\n",
    "    \n",
    "    # Count the frequency of the attribute\n",
    "    ranking_cn_assets[freq_count_col_name] = ranking_cn_assets.groupby(attribute)[attribute].transform('count').tolist()\n",
    "    \n",
    "    # Calculate the frequency of the attribute in percentage \n",
    "    attr_freq_pct = ranking_cn_assets[freq_count_col_name].apply(attr_freq_in_percent)\n",
    "    ranking_cn_assets[freq_pct_col_name] = attr_freq_pct \n",
    "    \n",
    "    # Calculate the ration of each attribute\n",
    "    ranking_cn_assets[ration_col_name] = round(attr_freq_pct / 100, 4)\n",
    "\n",
    "# Add a column with the sum of the ration of each attribute of each assets\n",
    "ranking_cn_assets['rarity_coeff'] = ranking_cn_assets[[column_name for column_name in ranking_cn_assets.columns if 'ratio' in column_name]].sum(axis = 1)\n",
    "\n",
    "# Add insights to the attributes values\n",
    "ranking_cn_assets['body'] = ranking_cn_assets.apply(lambda x: rarity_insights(x.body, x.body_freq_count, x.body_freq_pct), axis=1)\n",
    "ranking_cn_assets['eyes'] = ranking_cn_assets.apply(lambda x: rarity_insights(x.eyes, x.eyes_freq_count, x.eyes_freq_pct), axis=1)\n",
    "ranking_cn_assets['brows'] = ranking_cn_assets.apply(lambda x: rarity_insights(x.brows, x.brows_freq_count, x.brows_freq_pct), axis=1)\n",
    "ranking_cn_assets['clothes'] = ranking_cn_assets.apply(lambda x: rarity_insights(x.clothes, x.clothes_freq_count, x.clothes_freq_pct), axis=1)\n",
    "ranking_cn_assets['mouth'] = ranking_cn_assets.apply(lambda x: rarity_insights(x.mouth, x.mouth_freq_count, x.mouth_freq_pct), axis=1)\n",
    "ranking_cn_assets['background'] = ranking_cn_assets.apply(lambda x: rarity_insights(x.background, x.background_freq_count, x.background_freq_pct), axis=1)\n",
    "ranking_cn_assets['accessories'] = ranking_cn_assets.apply(lambda x: rarity_insights(x.accessories, x.accessories_freq_count, x.accessories_freq_pct), axis=1)\n",
    "ranking_cn_assets['hats_and_hair'] = ranking_cn_assets.apply(lambda x: rarity_insights(x.hats_and_hair, x.hats_and_hair_freq_count, x.hats_and_hair_freq_pct), axis=1)\n",
    "ranking_cn_assets['wings'] = ranking_cn_assets.apply(lambda x: rarity_insights(x.wings, x.wings_freq_count, x.wings_freq_pct), axis=1)\n",
    "\n",
    "# Show the data\n",
    "ranking_cn_assets.head(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Ranking "
   ]
  },
  {
   "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>name</th>\n",
       "      <th>ranking</th>\n",
       "      <th>rarity_coeff</th>\n",
       "      <th>body</th>\n",
       "      <th>eyes</th>\n",
       "      <th>brows</th>\n",
       "      <th>mouth</th>\n",
       "      <th>clothes</th>\n",
       "      <th>background</th>\n",
       "      <th>accessories</th>\n",
       "      <th>hats_and_hair</th>\n",
       "      <th>wings</th>\n",
       "      <th>image</th>\n",
       "      <th>asset_name</th>\n",
       "      <th>policy_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>Clay Nation #7279</td>\n",
       "      <td>#1</td>\n",
       "      <td>0.4982</td>\n",
       "      <td>Blue Clay: 498 / 10000 (4.98%)</td>\n",
       "      <td>Red Evil Eyes: 435 / 10000 (4.35%)</td>\n",
       "      <td>Blue Eyebrows: 1411 / 10000 (14.11%)</td>\n",
       "      <td>Sad Face: 434 / 10000 (4.34%)</td>\n",
       "      <td>Robot Body: 252 / 10000 (2.52%)</td>\n",
       "      <td>Peach: 1444 / 10000 (14.44%)</td>\n",
       "      <td>Dog Collar: 306 / 10000 (3.06%)</td>\n",
       "      <td>Mohawk: 172 / 10000 (1.72%)</td>\n",
       "      <td>Angel wings: 30 / 10000 (0.3%)</td>\n",
       "      <td>ipfs://QmUqQhwLaR4qZf6SqD3uxy6kUTmDCwYJDMENkvH...</td>\n",
       "      <td>436c61794e6174696f6e37323739</td>\n",
       "      <td>40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c282...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6540</th>\n",
       "      <td>Clay Nation #0057</td>\n",
       "      <td>#2</td>\n",
       "      <td>0.5912</td>\n",
       "      <td>Green Clay: 549 / 10000 (5.49%)</td>\n",
       "      <td>Lazy Eye: 429 / 10000 (4.29%)</td>\n",
       "      <td>Monobrow: 1437 / 10000 (14.37%)</td>\n",
       "      <td>Rubber Duck On Tounge: 229 / 10000 (2.29%)</td>\n",
       "      <td>White Vest: 811 / 10000 (8.11%)</td>\n",
       "      <td>Serenity: 1423 / 10000 (14.23%)</td>\n",
       "      <td>Gold Chain: 790 / 10000 (7.9%)</td>\n",
       "      <td>Turkey Hat: 214 / 10000 (2.14%)</td>\n",
       "      <td>Angel wings: 30 / 10000 (0.3%)</td>\n",
       "      <td>ipfs://QmatbELAAoZQ8hZrX8KpWshphPc42rYLSMVVAGc...</td>\n",
       "      <td>436c61794e6174696f6e3537</td>\n",
       "      <td>40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c282...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5090</th>\n",
       "      <td>Clay Nation #1984</td>\n",
       "      <td>#3</td>\n",
       "      <td>0.6147</td>\n",
       "      <td>Blue Clay: 498 / 10000 (4.98%)</td>\n",
       "      <td>Big Eyes: 847 / 10000 (8.47%)</td>\n",
       "      <td>Blue Eyebrows: 1411 / 10000 (14.11%)</td>\n",
       "      <td>Joint Mouth: 260 / 10000 (2.6%)</td>\n",
       "      <td>Tshirt Grey: 819 / 10000 (8.19%)</td>\n",
       "      <td>Serenity: 1423 / 10000 (14.23%)</td>\n",
       "      <td>Spider: 687 / 10000 (6.87%)</td>\n",
       "      <td>Mohawk: 172 / 10000 (1.72%)</td>\n",
       "      <td>Angel wings: 30 / 10000 (0.3%)</td>\n",
       "      <td>ipfs://QmNd5THQX9HfPKeRz69EoGDySdYH5YVBoYEjTA2...</td>\n",
       "      <td>436c61794e6174696f6e31393834</td>\n",
       "      <td>40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c282...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3723</th>\n",
       "      <td>Clay Nation #1708</td>\n",
       "      <td>#4</td>\n",
       "      <td>0.6921</td>\n",
       "      <td>Tan Clay: 2755 / 10000 (27.55%)</td>\n",
       "      <td>Lazy Eye: 429 / 10000 (4.29%)</td>\n",
       "      <td>Pierced Eyebrows: 1333 / 10000 (13.33%)</td>\n",
       "      <td>Duck: 89 / 10000 (0.89%)</td>\n",
       "      <td>No Clothes: 291 / 10000 (2.91%)</td>\n",
       "      <td>Peach: 1444 / 10000 (14.44%)</td>\n",
       "      <td>Frog: 371 / 10000 (3.71%)</td>\n",
       "      <td>Rasta Hat: 179 / 10000 (1.79%)</td>\n",
       "      <td>Angel wings: 30 / 10000 (0.3%)</td>\n",
       "      <td>ipfs://QmRNG2NqzZf7Hn2ZXhpsYYgYMwqus3ies8eXhWv...</td>\n",
       "      <td>436c61794e6174696f6e31373038</td>\n",
       "      <td>40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c282...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6021</th>\n",
       "      <td>Clay Nation #1153</td>\n",
       "      <td>#5</td>\n",
       "      <td>0.7758</td>\n",
       "      <td>Tan Clay: 2755 / 10000 (27.55%)</td>\n",
       "      <td>Eye Sockets: 391 / 10000 (3.91%)</td>\n",
       "      <td>Blue Eyebrows: 1411 / 10000 (14.11%)</td>\n",
       "      <td>Rose: 449 / 10000 (4.49%)</td>\n",
       "      <td>Tshirt Grey: 819 / 10000 (8.19%)</td>\n",
       "      <td>Serenity: 1423 / 10000 (14.23%)</td>\n",
       "      <td>Hearts: 363 / 10000 (3.63%)</td>\n",
       "      <td>Clay Nation Hat &amp; Mullet: 117 / 10000 (1.17%)</td>\n",
       "      <td>Angel wings: 30 / 10000 (0.3%)</td>\n",
       "      <td>ipfs://QmRwiSN78o9wmNTqnpn9ScCLDYZ9dXcNqkxzaR3...</td>\n",
       "      <td>436c61794e6174696f6e31313533</td>\n",
       "      <td>40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c282...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4895</th>\n",
       "      <td>Clay Nation #9950</td>\n",
       "      <td>#6</td>\n",
       "      <td>0.7814</td>\n",
       "      <td>White Clay: 3121 / 10000 (31.21%)</td>\n",
       "      <td>Big Eyes: 847 / 10000 (8.47%)</td>\n",
       "      <td>Shaved Eyebrows: 1312 / 10000 (13.12%)</td>\n",
       "      <td>Vampire Teeth: 190 / 10000 (1.9%)</td>\n",
       "      <td>Cardano Tshirt: 278 / 10000 (2.78%)</td>\n",
       "      <td>Seafoam Green: 1456 / 10000 (14.56%)</td>\n",
       "      <td>Flies: 433 / 10000 (4.33%)</td>\n",
       "      <td>Blue Fringe: 147 / 10000 (1.47%)</td>\n",
       "      <td>Angel wings: 30 / 10000 (0.3%)</td>\n",
       "      <td>ipfs://QmPzGm1vR15UwC7pmJKP3FdboxDQ5yC7RBxR6jv...</td>\n",
       "      <td>436c61794e6174696f6e39393530</td>\n",
       "      <td>40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c282...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>400</th>\n",
       "      <td>Clay Nation #6240</td>\n",
       "      <td>#7</td>\n",
       "      <td>0.7919</td>\n",
       "      <td>Brown Clay: 3077 / 10000 (30.77%)</td>\n",
       "      <td>Angry Eyes: 429 / 10000 (4.29%)</td>\n",
       "      <td>Monobrow: 1437 / 10000 (14.37%)</td>\n",
       "      <td>Joint in mouth: 205 / 10000 (2.05%)</td>\n",
       "      <td>Rainbow Shirt: 527 / 10000 (5.27%)</td>\n",
       "      <td>Turquoise: 1439 / 10000 (14.39%)</td>\n",
       "      <td>EarWax: 651 / 10000 (6.51%)</td>\n",
       "      <td>Alien Antennae: 124 / 10000 (1.24%)</td>\n",
       "      <td>Angel wings: 30 / 10000 (0.3%)</td>\n",
       "      <td>ipfs://QmXxmcX55oiDtit6rNBpFPXD2qXGAJN9bBiiNEi...</td>\n",
       "      <td>436c61794e6174696f6e36323430</td>\n",
       "      <td>40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c282...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2573</th>\n",
       "      <td>Clay Nation #2911</td>\n",
       "      <td>#8</td>\n",
       "      <td>0.8175</td>\n",
       "      <td>Tan Clay: 2755 / 10000 (27.55%)</td>\n",
       "      <td>Small Eyes: 854 / 10000 (8.54%)</td>\n",
       "      <td>Pierced Eyebrows: 1333 / 10000 (13.33%)</td>\n",
       "      <td>Pipe: 445 / 10000 (4.45%)</td>\n",
       "      <td>Rainbow Shirt: 527 / 10000 (5.27%)</td>\n",
       "      <td>Cyan: 1316 / 10000 (13.16%)</td>\n",
       "      <td>Bowtie: 709 / 10000 (7.09%)</td>\n",
       "      <td>Top Hat: 206 / 10000 (2.06%)</td>\n",
       "      <td>Angel wings: 30 / 10000 (0.3%)</td>\n",
       "      <td>ipfs://QmT6AgEJsHBh8AtSgKYWDgsTmS9Xsyq7VGaMxH1...</td>\n",
       "      <td>436c61794e6174696f6e32393131</td>\n",
       "      <td>40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c282...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1358</th>\n",
       "      <td>Clay Nation #1736</td>\n",
       "      <td>#9</td>\n",
       "      <td>0.8242</td>\n",
       "      <td>Tan Clay: 2755 / 10000 (27.55%)</td>\n",
       "      <td>Lazy Eye: 429 / 10000 (4.29%)</td>\n",
       "      <td>Shaved Eyebrows: 1312 / 10000 (13.12%)</td>\n",
       "      <td>Cig: 429 / 10000 (4.29%)</td>\n",
       "      <td>Pink Fluffy Jacket: 356 / 10000 (3.56%)</td>\n",
       "      <td>Turquoise: 1439 / 10000 (14.39%)</td>\n",
       "      <td>No Accessories: 1320 / 10000 (13.2%)</td>\n",
       "      <td>Mohawk: 172 / 10000 (1.72%)</td>\n",
       "      <td>Angel wings: 30 / 10000 (0.3%)</td>\n",
       "      <td>ipfs://QmP94dAkmqcHPhGyVZwQ53Yt6M298BVLvWYo3WG...</td>\n",
       "      <td>436c61794e6174696f6e31373336</td>\n",
       "      <td>40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c282...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6960</th>\n",
       "      <td>Clay Nation #2907</td>\n",
       "      <td>#10</td>\n",
       "      <td>0.8581</td>\n",
       "      <td>White Clay: 3121 / 10000 (31.21%)</td>\n",
       "      <td>Small Eyes: 854 / 10000 (8.54%)</td>\n",
       "      <td>Shaved Eyebrows: 1312 / 10000 (13.12%)</td>\n",
       "      <td>Joint Mouth: 260 / 10000 (2.6%)</td>\n",
       "      <td>Hoodie: 774 / 10000 (7.74%)</td>\n",
       "      <td>Turquoise: 1439 / 10000 (14.39%)</td>\n",
       "      <td>Mushroom Earings: 577 / 10000 (5.77%)</td>\n",
       "      <td>Turkey Hat: 214 / 10000 (2.14%)</td>\n",
       "      <td>Angel wings: 30 / 10000 (0.3%)</td>\n",
       "      <td>ipfs://QmbSNrNNxQXPtnKGfevUvDM4XHryavPpaRg7wmy...</td>\n",
       "      <td>436c61794e6174696f6e32393037</td>\n",
       "      <td>40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c282...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   name ranking  rarity_coeff  \\\n",
       "325   Clay Nation #7279      #1        0.4982   \n",
       "6540  Clay Nation #0057      #2        0.5912   \n",
       "5090  Clay Nation #1984      #3        0.6147   \n",
       "3723  Clay Nation #1708      #4        0.6921   \n",
       "6021  Clay Nation #1153      #5        0.7758   \n",
       "4895  Clay Nation #9950      #6        0.7814   \n",
       "400   Clay Nation #6240      #7        0.7919   \n",
       "2573  Clay Nation #2911      #8        0.8175   \n",
       "1358  Clay Nation #1736      #9        0.8242   \n",
       "6960  Clay Nation #2907     #10        0.8581   \n",
       "\n",
       "                                   body                                eyes  \\\n",
       "325      Blue Clay: 498 / 10000 (4.98%)  Red Evil Eyes: 435 / 10000 (4.35%)   \n",
       "6540    Green Clay: 549 / 10000 (5.49%)       Lazy Eye: 429 / 10000 (4.29%)   \n",
       "5090     Blue Clay: 498 / 10000 (4.98%)       Big Eyes: 847 / 10000 (8.47%)   \n",
       "3723    Tan Clay: 2755 / 10000 (27.55%)       Lazy Eye: 429 / 10000 (4.29%)   \n",
       "6021    Tan Clay: 2755 / 10000 (27.55%)    Eye Sockets: 391 / 10000 (3.91%)   \n",
       "4895  White Clay: 3121 / 10000 (31.21%)       Big Eyes: 847 / 10000 (8.47%)   \n",
       "400   Brown Clay: 3077 / 10000 (30.77%)     Angry Eyes: 429 / 10000 (4.29%)   \n",
       "2573    Tan Clay: 2755 / 10000 (27.55%)     Small Eyes: 854 / 10000 (8.54%)   \n",
       "1358    Tan Clay: 2755 / 10000 (27.55%)       Lazy Eye: 429 / 10000 (4.29%)   \n",
       "6960  White Clay: 3121 / 10000 (31.21%)     Small Eyes: 854 / 10000 (8.54%)   \n",
       "\n",
       "                                        brows  \\\n",
       "325      Blue Eyebrows: 1411 / 10000 (14.11%)   \n",
       "6540          Monobrow: 1437 / 10000 (14.37%)   \n",
       "5090     Blue Eyebrows: 1411 / 10000 (14.11%)   \n",
       "3723  Pierced Eyebrows: 1333 / 10000 (13.33%)   \n",
       "6021     Blue Eyebrows: 1411 / 10000 (14.11%)   \n",
       "4895   Shaved Eyebrows: 1312 / 10000 (13.12%)   \n",
       "400           Monobrow: 1437 / 10000 (14.37%)   \n",
       "2573  Pierced Eyebrows: 1333 / 10000 (13.33%)   \n",
       "1358   Shaved Eyebrows: 1312 / 10000 (13.12%)   \n",
       "6960   Shaved Eyebrows: 1312 / 10000 (13.12%)   \n",
       "\n",
       "                                           mouth  \\\n",
       "325                Sad Face: 434 / 10000 (4.34%)   \n",
       "6540  Rubber Duck On Tounge: 229 / 10000 (2.29%)   \n",
       "5090             Joint Mouth: 260 / 10000 (2.6%)   \n",
       "3723                    Duck: 89 / 10000 (0.89%)   \n",
       "6021                   Rose: 449 / 10000 (4.49%)   \n",
       "4895           Vampire Teeth: 190 / 10000 (1.9%)   \n",
       "400          Joint in mouth: 205 / 10000 (2.05%)   \n",
       "2573                   Pipe: 445 / 10000 (4.45%)   \n",
       "1358                    Cig: 429 / 10000 (4.29%)   \n",
       "6960             Joint Mouth: 260 / 10000 (2.6%)   \n",
       "\n",
       "                                      clothes  \\\n",
       "325           Robot Body: 252 / 10000 (2.52%)   \n",
       "6540          White Vest: 811 / 10000 (8.11%)   \n",
       "5090         Tshirt Grey: 819 / 10000 (8.19%)   \n",
       "3723          No Clothes: 291 / 10000 (2.91%)   \n",
       "6021         Tshirt Grey: 819 / 10000 (8.19%)   \n",
       "4895      Cardano Tshirt: 278 / 10000 (2.78%)   \n",
       "400        Rainbow Shirt: 527 / 10000 (5.27%)   \n",
       "2573       Rainbow Shirt: 527 / 10000 (5.27%)   \n",
       "1358  Pink Fluffy Jacket: 356 / 10000 (3.56%)   \n",
       "6960              Hoodie: 774 / 10000 (7.74%)   \n",
       "\n",
       "                                background  \\\n",
       "325           Peach: 1444 / 10000 (14.44%)   \n",
       "6540       Serenity: 1423 / 10000 (14.23%)   \n",
       "5090       Serenity: 1423 / 10000 (14.23%)   \n",
       "3723          Peach: 1444 / 10000 (14.44%)   \n",
       "6021       Serenity: 1423 / 10000 (14.23%)   \n",
       "4895  Seafoam Green: 1456 / 10000 (14.56%)   \n",
       "400       Turquoise: 1439 / 10000 (14.39%)   \n",
       "2573           Cyan: 1316 / 10000 (13.16%)   \n",
       "1358      Turquoise: 1439 / 10000 (14.39%)   \n",
       "6960      Turquoise: 1439 / 10000 (14.39%)   \n",
       "\n",
       "                                accessories  \\\n",
       "325         Dog Collar: 306 / 10000 (3.06%)   \n",
       "6540         Gold Chain: 790 / 10000 (7.9%)   \n",
       "5090            Spider: 687 / 10000 (6.87%)   \n",
       "3723              Frog: 371 / 10000 (3.71%)   \n",
       "6021            Hearts: 363 / 10000 (3.63%)   \n",
       "4895             Flies: 433 / 10000 (4.33%)   \n",
       "400             EarWax: 651 / 10000 (6.51%)   \n",
       "2573            Bowtie: 709 / 10000 (7.09%)   \n",
       "1358   No Accessories: 1320 / 10000 (13.2%)   \n",
       "6960  Mushroom Earings: 577 / 10000 (5.77%)   \n",
       "\n",
       "                                      hats_and_hair  \\\n",
       "325                     Mohawk: 172 / 10000 (1.72%)   \n",
       "6540                Turkey Hat: 214 / 10000 (2.14%)   \n",
       "5090                    Mohawk: 172 / 10000 (1.72%)   \n",
       "3723                 Rasta Hat: 179 / 10000 (1.79%)   \n",
       "6021  Clay Nation Hat & Mullet: 117 / 10000 (1.17%)   \n",
       "4895               Blue Fringe: 147 / 10000 (1.47%)   \n",
       "400             Alien Antennae: 124 / 10000 (1.24%)   \n",
       "2573                   Top Hat: 206 / 10000 (2.06%)   \n",
       "1358                    Mohawk: 172 / 10000 (1.72%)   \n",
       "6960                Turkey Hat: 214 / 10000 (2.14%)   \n",
       "\n",
       "                               wings  \\\n",
       "325   Angel wings: 30 / 10000 (0.3%)   \n",
       "6540  Angel wings: 30 / 10000 (0.3%)   \n",
       "5090  Angel wings: 30 / 10000 (0.3%)   \n",
       "3723  Angel wings: 30 / 10000 (0.3%)   \n",
       "6021  Angel wings: 30 / 10000 (0.3%)   \n",
       "4895  Angel wings: 30 / 10000 (0.3%)   \n",
       "400   Angel wings: 30 / 10000 (0.3%)   \n",
       "2573  Angel wings: 30 / 10000 (0.3%)   \n",
       "1358  Angel wings: 30 / 10000 (0.3%)   \n",
       "6960  Angel wings: 30 / 10000 (0.3%)   \n",
       "\n",
       "                                                  image  \\\n",
       "325   ipfs://QmUqQhwLaR4qZf6SqD3uxy6kUTmDCwYJDMENkvH...   \n",
       "6540  ipfs://QmatbELAAoZQ8hZrX8KpWshphPc42rYLSMVVAGc...   \n",
       "5090  ipfs://QmNd5THQX9HfPKeRz69EoGDySdYH5YVBoYEjTA2...   \n",
       "3723  ipfs://QmRNG2NqzZf7Hn2ZXhpsYYgYMwqus3ies8eXhWv...   \n",
       "6021  ipfs://QmRwiSN78o9wmNTqnpn9ScCLDYZ9dXcNqkxzaR3...   \n",
       "4895  ipfs://QmPzGm1vR15UwC7pmJKP3FdboxDQ5yC7RBxR6jv...   \n",
       "400   ipfs://QmXxmcX55oiDtit6rNBpFPXD2qXGAJN9bBiiNEi...   \n",
       "2573  ipfs://QmT6AgEJsHBh8AtSgKYWDgsTmS9Xsyq7VGaMxH1...   \n",
       "1358  ipfs://QmP94dAkmqcHPhGyVZwQ53Yt6M298BVLvWYo3WG...   \n",
       "6960  ipfs://QmbSNrNNxQXPtnKGfevUvDM4XHryavPpaRg7wmy...   \n",
       "\n",
       "                        asset_name  \\\n",
       "325   436c61794e6174696f6e37323739   \n",
       "6540      436c61794e6174696f6e3537   \n",
       "5090  436c61794e6174696f6e31393834   \n",
       "3723  436c61794e6174696f6e31373038   \n",
       "6021  436c61794e6174696f6e31313533   \n",
       "4895  436c61794e6174696f6e39393530   \n",
       "400   436c61794e6174696f6e36323430   \n",
       "2573  436c61794e6174696f6e32393131   \n",
       "1358  436c61794e6174696f6e31373336   \n",
       "6960  436c61794e6174696f6e32393037   \n",
       "\n",
       "                                              policy_id  \n",
       "325   40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c282...  \n",
       "6540  40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c282...  \n",
       "5090  40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c282...  \n",
       "3723  40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c282...  \n",
       "6021  40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c282...  \n",
       "4895  40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c282...  \n",
       "400   40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c282...  \n",
       "2573  40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c282...  \n",
       "1358  40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c282...  \n",
       "6960  40fa2aa67258b4ce7b5782f74831d46a84c59a0ff0c282...  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Sort by ascending the column with the rarity coeff\n",
    "ranking_cn_assets = ranking_cn_assets.sort_values(by=['rarity_coeff'])\n",
    "\n",
    "# Add a column with the ranking number\n",
    "ranking_cn_assets['ranking'] = ['#{}'.format(i) for i in range(1, nb_of_assets+1)]\n",
    "\n",
    "wanted_columns = ['name','ranking','rarity_coeff', 'body',\n",
    "                  'eyes', 'brows', 'mouth', 'clothes',\n",
    "                  'background', 'accessories', 'hats_and_hair', 'wings',\n",
    "                  'image', 'asset_name', 'policy_id']\n",
    "\n",
    "# Show the top 10\n",
    "ranking_cn_assets[wanted_columns].head(10)"
   ]
  }
 ],
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