07_feature_engineering.ipynb 233 KB
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{
 "cells": [
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  {
   "cell_type": "markdown",
   "id": "edd718da-1295-49c4-b556-3cc7b718f93c",
   "metadata": {},
   "source": [
    "# Data Preparation and Quality\n",
    "Lecture Data Engineering and Analytics<br>\n",
    "Eva Zangerle"
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 44,
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   "id": "5b126eda-5b79-4531-b8ea-72898d09dc6d",
   "metadata": {},
   "outputs": [],
   "source": [
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    "import os\n",
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    "# import required packages\n",
    "from pprint import pprint\n",
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    "\n",
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    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
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    "from matplotlib import cm\n",
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    "from matplotlib.colors import ListedColormap"
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   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 45,
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   "id": "5406f6f3-1c06-4f3b-aaaf-9ac6f2967729",
   "metadata": {},
   "outputs": [],
   "source": [
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    "data_dir = '../data'"
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   ]
  },
  {
   "cell_type": "markdown",
   "id": "9bb42d44-a081-46e1-97e7-beb4dd674586",
   "metadata": {},
   "source": [
    "## Value Imputation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c497c77-a87a-44f8-89cf-46f326a35d52",
   "metadata": {},
   "source": [
    "Different imputation methods showcased, adapted from CleanData."
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 46,
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   "id": "8df460fc-829c-4592-ad72-80b5f43d4dbf",
   "metadata": {},
   "outputs": [],
   "source": [
    "np.random.seed(1)\n",
    "\n",
    "# Histopathological Attributes: (values 0, 1, 2, 3)\n",
    "# Clinical Attributes: (values 0, 1, 2, 3, unless indicated)\n",
    "features = [\n",
    "    \"erythema\",\n",
    "    \"scaling\",\n",
    "    \"definite borders\",\n",
    "    \"itching\",\n",
    "    \"koebner phenomenon\",\n",
    "    \"polygonal papules\",\n",
    "    \"follicular papules\",\n",
    "    \"oral mucosal involvement\",\n",
    "    \"knee and elbow involvement\",\n",
    "    \"scalp involvement\",\n",
    "    \"family history\",  # 0 or 1\n",
    "    \"melanin incontinence\",\n",
    "    \"eosinophils in the infiltrate\",\n",
    "    \"PNL infiltrate\",\n",
    "    \"fibrosis of the papillary dermis\",\n",
    "    \"exocytosis\",\n",
    "    \"acanthosis\",\n",
    "    \"hyperkeratosis\",\n",
    "    \"parakeratosis\",\n",
    "    \"clubbing of the rete ridges\",\n",
    "    \"elongation of the rete ridges\",\n",
    "    \"thinning of the suprapapillary epidermis\",\n",
    "    \"spongiform pustule\",\n",
    "    \"munro microabcess\",\n",
    "    \"focal hypergranulosis\",\n",
    "    \"disappearance of the granular layer\",\n",
    "    \"vacuolisation and damage of basal layer\",\n",
    "    \"spongiosis\",\n",
    "    \"saw-tooth appearance of retes\",\n",
    "    \"follicular horn plug\",\n",
    "    \"perifollicular parakeratosis\",\n",
    "    \"inflammatory monoluclear inflitrate\",\n",
    "    \"band-like infiltrate\",\n",
    "    \"Age\",  # linear; missing marked '?'\n",
    "    \"TARGET\"  # See mapping\n",
    "]\n",
    "\n",
    "targets = {\n",
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    "    1: \"psoriasis\",  # 112 instances\n",
    "    2: \"seboreic dermatitis\",  # 61\n",
    "    3: \"lichen planus\",  # 72\n",
    "    4: \"pityriasis rosea\",  # 49\n",
    "    5: \"cronic dermatitis\",  # 52\n",
    "    6: \"pityriasis rubra pilaris\",  # 20\n",
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    "}\n",
    "\n",
    "data = os.path.join(data_dir, 'dermatology.data')\n",
    "metadata = os.path.join(data_dir, 'dermatology.names')\n",
    "df = pd.read_csv(data, header=None, names=features, na_values=['?'])\n",
    "df['TARGET'] = df.TARGET.map(targets)\n",
    "\n",
    "derm = df.copy()\n",
    "derm.loc[derm.Age == '?', 'Age'] = None\n",
    "derm['Age'] = derm.Age.astype(float)"
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 47,
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   "id": "90fcb5e3-4e4c-466a-8f76-c9481ed04593",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": "     erythema  scaling  definite borders  itching   Age               TARGET\n247         2        2                 2        0  62.0            psoriasis\n127         2        2                 2        2  44.0        lichen planus\n230         3        2                 0        1  30.0  seboreic dermatitis\n162         3        2                 2        2  22.0        lichen planus\n159         3        2                 2        1  47.0  seboreic dermatitis\n296         2        1                 1        3  19.0    cronic dermatitis",
      "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>erythema</th>\n      <th>scaling</th>\n      <th>definite borders</th>\n      <th>itching</th>\n      <th>Age</th>\n      <th>TARGET</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>247</th>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>0</td>\n      <td>62.0</td>\n      <td>psoriasis</td>\n    </tr>\n    <tr>\n      <th>127</th>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>44.0</td>\n      <td>lichen planus</td>\n    </tr>\n    <tr>\n      <th>230</th>\n      <td>3</td>\n      <td>2</td>\n      <td>0</td>\n      <td>1</td>\n      <td>30.0</td>\n      <td>seboreic dermatitis</td>\n    </tr>\n    <tr>\n      <th>162</th>\n      <td>3</td>\n      <td>2</td>\n      <td>2</td>\n      <td>2</td>\n      <td>22.0</td>\n      <td>lichen planus</td>\n    </tr>\n    <tr>\n      <th>159</th>\n      <td>3</td>\n      <td>2</td>\n      <td>2</td>\n      <td>1</td>\n      <td>47.0</td>\n      <td>seboreic dermatitis</td>\n    </tr>\n    <tr>\n      <th>296</th>\n      <td>2</td>\n      <td>1</td>\n      <td>1</td>\n      <td>3</td>\n      <td>19.0</td>\n      <td>cronic dermatitis</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
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     },
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     "execution_count": 47,
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     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# use iloc on both axes and sample\n",
    "df.iloc[:, [0, 1, 2, 3, -2, -1]].sample(6)"
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 48,
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   "id": "43734f3f-a997-436c-93c9-04785c6a5c47",
   "metadata": {},
   "outputs": [],
   "source": [
    "clean, suspicious = [], {}\n",
    "for col in df.columns:\n",
    "    values = df[col].unique()\n",
    "    if set(values) <= {0, 1, 2, 3}:\n",
    "        clean.append(col)\n",
    "    else:\n",
    "        suspicious[col] = values"
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 49,
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   "id": "46b6f7d4-77a0-4e7d-b70e-039caa83568d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No problem detected:\n",
      "['erythema',\n",
      " 'scaling',\n",
      " 'definite borders',\n",
      " 'itching',\n",
      " 'koebner phenomenon',\n",
      " 'polygonal papules',\n",
      " 'follicular papules',\n",
      " 'oral mucosal involvement']\n",
      "... 25 other fields\n"
     ]
    }
   ],
   "source": [
    "print(\"No problem detected:\")\n",
    "pprint(clean[:8])\n",
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    "print(f\"... {len(clean) - 8} other fields\")"
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   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 50,
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   "id": "d1180b53-e9b0-407d-bd1a-22474288e195",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Suspicious:\n",
      "{'Age': array([55.,  8., 26., 40., 45., 41., 18., 57., 22., 30., 20., 21., 10.,\n",
      "       65., 38., 23., 17., 51., 42., 44., 33., 43., 50., 34., nan, 15.,\n",
      "       46., 62., 35., 48., 12., 52., 60., 32., 19., 29., 25., 36., 13.,\n",
      "       27., 31., 28., 64., 39., 47., 16.,  0.,  7., 70., 37., 61., 67.,\n",
      "       56., 53., 24., 58., 49., 63., 68.,  9., 75.]),\n",
      " 'TARGET': array(['seboreic dermatitis', 'psoriasis', 'lichen planus',\n",
      "       'cronic dermatitis', 'pityriasis rosea',\n",
      "       'pityriasis rubra pilaris'], dtype=object)}\n"
     ]
    }
   ],
   "source": [
    "# Notice age has some expected ages and also a '?'\n",
    "print(\"Suspicious:\")\n",
    "pprint(suspicious)"
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 51,
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   "id": "afb090dc-1a70-4aa3-945f-ac8331cc84db",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": "     inflammatory monoluclear inflitrate  band-like infiltrate  Age  \\\n33                                     0                     0  NaN   \n34                                     0                     0  NaN   \n35                                     0                     0  NaN   \n36                                     0                     3  NaN   \n262                                    3                     0  NaN   \n263                                    2                     0  NaN   \n264                                    3                     0  NaN   \n265                                    3                     0  NaN   \n\n                  TARGET  \n33             psoriasis  \n34      pityriasis rosea  \n35   seboreic dermatitis  \n36         lichen planus  \n262    cronic dermatitis  \n263    cronic dermatitis  \n264    cronic dermatitis  \n265    cronic dermatitis  ",
      "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>inflammatory monoluclear inflitrate</th>\n      <th>band-like infiltrate</th>\n      <th>Age</th>\n      <th>TARGET</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>33</th>\n      <td>0</td>\n      <td>0</td>\n      <td>NaN</td>\n      <td>psoriasis</td>\n    </tr>\n    <tr>\n      <th>34</th>\n      <td>0</td>\n      <td>0</td>\n      <td>NaN</td>\n      <td>pityriasis rosea</td>\n    </tr>\n    <tr>\n      <th>35</th>\n      <td>0</td>\n      <td>0</td>\n      <td>NaN</td>\n      <td>seboreic dermatitis</td>\n    </tr>\n    <tr>\n      <th>36</th>\n      <td>0</td>\n      <td>3</td>\n      <td>NaN</td>\n      <td>lichen planus</td>\n    </tr>\n    <tr>\n      <th>262</th>\n      <td>3</td>\n      <td>0</td>\n      <td>NaN</td>\n      <td>cronic dermatitis</td>\n    </tr>\n    <tr>\n      <th>263</th>\n      <td>2</td>\n      <td>0</td>\n      <td>NaN</td>\n      <td>cronic dermatitis</td>\n    </tr>\n    <tr>\n      <th>264</th>\n      <td>3</td>\n      <td>0</td>\n      <td>NaN</td>\n      <td>cronic dermatitis</td>\n    </tr>\n    <tr>\n      <th>265</th>\n      <td>3</td>\n      <td>0</td>\n      <td>NaN</td>\n      <td>cronic dermatitis</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
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     },
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     "execution_count": 51,
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     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# dataset encodes missing values as ?\n",
    "# --> added ? to na_values list to be recognized when reading file in panda's read_csv\n",
    "df.loc[df.Age.isnull()].iloc[:, -4:]\n",
    "# alternatively: \n",
    "# Assign missing ages marked with '?' as None\n",
    "# df.loc[df.Age == '?', 'Age'] = None  # or NaN\n",
    "# Convert string/None ages to floating-point\n",
    "# df['Age'] = df.Age.astype(float)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "58f8b344-39d7-4593-be81-ad90ad57830f",
   "metadata": {},
   "source": [
    "### Typical-Value Imputation "
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 52,
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   "id": "aae335f1-0472-48e9-bd30-4939bb3c3196",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": "<AxesSubplot:title={'center':'Age distribution of patients (0 to 75)'}>"
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     },
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     "execution_count": 52,
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     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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iAEtSEQNYkooYwJJUxACWpCIGsCQVMYAlqYgBLElFDGBJKmIAS1IRA1iSikRmzn7iiG8Bty1cdSRpSTogM/ceHzinAJYkzR9vQUhSEQNYkooYwJJUxACWpCIGsCQVMYAlqYgBLElFDGBJKmIAS1KR/wd9jwE3WlzPkgAAAABJRU5ErkJggg==\n"
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# example plot taken from CleanData\n",
    "# compare to df.Age.mode() with xticks activated\n",
    "# problem?\n",
    "(df.Age\n",
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    " .value_counts()\n",
    " .sort_index()\n",
    " .plot(kind=\"bar\",\n",
    "       xticks=[],\n",
    "       #xticks = np.arange(df['Age'].min(), df['Age'].max(), 10),\n",
    "       yticks=[],\n",
    "       title=\"Age distribution of patients \"\n",
    "             f\"({df.Age.min():.0f} to {df.Age.max():.0f})\",\n",
    "       )\n",
    " )"
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   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 53,
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   "id": "2e990956-1d39-4894-ab5e-a3ac8712cfea",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": "<AxesSubplot:xlabel='Age', ylabel='Count'>"
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     },
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     "execution_count": 53,
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     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": "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\n"
     },
     "metadata": {
      "needs_background": "light"
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     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# improved distribution setup\n",
    "distribution = pd.DataFrame([df[df.Age == x]['Age'].count() for x in np.arange(df['Age'].min(), df['Age'].max())])\n",
    "distribution.plot(kind=\"bar\",\n",
    "                  xlabel='Age',\n",
    "                  ylabel='Count',\n",
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    "                  xticks=np.arange(df['Age'].min(), df['Age'].max(), 10),\n",
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    "                  legend=False)"
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 54,
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   "id": "86677c98-7415-4126-840c-a5bc5fffec5b",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": "(36.29608938547486, 35.0)"
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     },
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     "execution_count": 54,
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     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# seem like best solution\n",
    "df.Age.mean(), df.Age.median()"
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 55,
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   "id": "f153af7d-d05e-4902-82be-45be358be237",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": "0    40.0\n1    50.0\ndtype: float64"
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     },
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     "execution_count": 55,
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     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.Age.mode()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e9888b03-63b3-466e-b8ac-8e862a8c5bb6",
   "metadata": {},
   "source": [
    "Alternatively, this dataset was created in Turkey - we might also want to use domain knowledge and use the mean/median age in Turkey at the time of dataset creation."
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 56,
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   "id": "91dcff8e-7f3a-4293-8e4c-c26429f7ac39",
   "metadata": {},
   "outputs": [],
   "source": [
    "#hmean((df.loc[df['Age'].notna()]['Age']).values)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5be55127-f078-4a6f-a4d8-80e7c9c9d4ee",
   "metadata": {},
   "source": [
    "### Locality Imputation"
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 57,
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   "id": "c289112b-0a6b-438a-98f2-9c911f1dc9ea",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Array shape: (50, 8, 8)\n"
     ]
    }
   ],
   "source": [
    "# load digits dataset (adopted, now missing a few pixels)\n",
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    "digits = np.load(os.path.join(data_dir, 'digits.npy'))\n",
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    "print(\"Array shape:\", digits.shape)"
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 58,
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   "id": "e1526d7e-8c7b-48dd-953a-1db09d8d050d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# display digits\n",
    "def show_digits(digits=digits, x=3, y=3, title=\"Digits\"):\n",
    "    \"Display of 'corrupted numerals'\"\n",
    "    if digits.min() >= 0:\n",
    "        newcm = cm.get_cmap('Greys', 17)\n",
    "    else:\n",
    "        gray = cm.get_cmap('Greys', 18)\n",
    "        newcolors = gray(np.linspace(0, 1, 18))\n",
    "        newcolors[:1, :] = np.array([1.0, 0.9, 0.9, 1])\n",
    "        newcm = ListedColormap(newcolors)\n",
    "\n",
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    "    fig, axes = plt.subplots(x, y, figsize=(x * 2.5, y * 2.5),\n",
    "                             subplot_kw={'xticks': (), 'yticks': ()})\n",
    "\n",
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    "    for ax, img in zip(axes.ravel(), digits):\n",
    "        ax.imshow(img, cmap=newcm)\n",
    "        for i in range(8):\n",
    "            for j in range(8):\n",
    "                if img[i, j] == -1:\n",
    "                    s = \"╳\"\n",
    "                    c = \"k\"\n",
    "                else:\n",
    "                    s = str(img[i, j])\n",
    "                    c = \"k\" if img[i, j] < 8 else \"w\"\n",
    "                text = ax.text(j, i, s, color=c,\n",
    "                               ha=\"center\", va=\"center\")\n",
    "    fig.suptitle(title, y=0)\n",
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    "    fig.tight_layout()"
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   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 59,
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   "id": "6b4cf573-8f4d-4f8e-9c38-1528a875dce2",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": "<Figure size 540x540 with 9 Axes>",
      "image/png": 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\n"
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_digits(digits, title=\"Digits with missing pixels\")"
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 60,
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   "id": "b81a57ad-a81f-445b-83b2-d2352e614167",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Coded for clarity, not for best vectorized speed\n",
    "# Function definition only; used in later cell\n",
    "def fill_missing(digit):\n",
    "    digit = digit.copy()\n",
    "    missing = np.where(digit == -1)\n",
    "    for y, x in zip(*missing):  # Pull off x/y position of pixel\n",
    "        # Do not want negative indices in slice\n",
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    "        x_start = max(0, x - 1)\n",
    "        y_start = max(0, y - 1)\n",
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    "        # No harm in index larger than size\n",
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    "        x_end = x + 2\n",
    "        y_end = y + 2\n",
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    "        # What if another -1 is in region? Remove all the -1s\n",
    "        region = digit[y_start:y_end, x_start:x_end].flatten()\n",
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    "        region = region[region >= 0]\n",
    "        total = np.sum(region)\n",
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    "        avg = total // region.size\n",
    "        digit[y, x] = avg\n",
    "    return digit"
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 61,
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   "id": "a92431e8-ede0-4e84-ab13-3669b2f91d73",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": "(None, None)"
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     },
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     "execution_count": 61,
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     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "text/plain": "<Figure size 540x540 with 9 Axes>",
      "image/png": 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\n"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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      "text/plain": "<Figure size 540x540 with 9 Axes>",
      "image/png": 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fxxtvvMG5XWI9l8wWkpJKpUhKSsL06dOh0+mwbNkyjB49uteyEhIS4O/vj8GDBxu/i5o8eTJGjRoFvV6Puro6xMTEmJWVkZEBuVwOJycnVFdXIyYmBnK5HL6+vjAYDPjll18QGRlpVpZCoYC3tzf69++Pbdu2ITs7G9999x1WrVqFoKAgNDY2Yvfu3Y+8XV01NjYiOjoawMOJSTNmzDAOaLhiWRuWIrb6ZZnVU83dvXsXixcvhr29PdatW4fq6upuT0z0pKeaUyqVUCqVUKvV0Gq1WLJkCa9jnTt3LmxtbaHX63HixAncv3+fVw7reqP65Z+l0Wiwfv166HQ6GAwGzJ492+xHE9uxrLnk5GRMmjQJjo6OUKvViI+PR2BgIHx8fIwTazdu3GhWVk+/Yw4dOsTp2Hoi1nMp4fK9oEwmMxQVFfH6iyzNy8uLWRbLVSeXLVvGLAsAlEolsyyxrjopk8lQVFTEbcq0ebmirV+Wenqciy+W9QYAn3zyCbOsv/71r8yyWLJE/Yq5dllO9nR1dWWWxXrVSUdHR2ZZXB9ZfpQkEsl5g8HQ7Wb+xE1wJIQQQgg3NFgghBBCiEk0WCCEEEKISTRYIIQQQohJNFgghBBCiEnMHp3kivXMXpZPMPz222/MsoS8OrQnLNt24sQJZlkAu6chnkQsZ5QfPnyYWRZrEyZM6O0mEMaOHDnCLGvSpEnMst5++21mWQCwevVqpnmPG/pkgRBCCCEm0WCBEEIIISbRYIEQQgghJtFggRBCCCEmMR0sHD9+HN7e3vDw8EB8fLygrJCQECxcuBCLFy9GeHg45/1TU1Oh0WigVquN22JiYlBTU4Pi4mIUFxdj5syZnHNramowe/ZsvPTSSwgICMCuXbs4Z3QkpM9Wr14NpVLZ6Z3+EyZMwGeffYZ//vOfvBd+AgB/f38oFAqsXLkSc+bMQd++fXlnAWxrw1JYtpFVVmtrK2bNmoVXX30VwcHB2L59O+eMxMREVFRU4McffzRui46ORmlpKVQqFVQqldnv6+/pugKAqKgolJeXo7S0FFu2bOHcRgBobm5GbGwsIiIisHTpUt6rnALs643ql78XXngBCxYswIIFCzB16lTO95J3330XR48eRXp6unHbihUrkJaWhr179yIhIYH3q5iFtM2S14IYzyWzwYJOp8OaNWtw7NgxlJWVITMzE2VlZYIyd+/ejYyMjE5FYq60tDTMmDGj2/YdO3Zg3LhxGDduHI4dO8Y5VyqV4pNPPsFPP/2EU6dOYc+ePbzXZxfaZyqVqtva67/++iu2bt0qqO/t7e3h5+cHpVKJlJQUSCQSQQvnWKI2WGPZRpZZTz31FA4ePIhTp07hxIkTUKlUOH/+PKeMzMxMzJ8/v9v2Xbt2QS6XQy6X4/vvvzcrq6frSi6XIzQ0FGPHjoWPjw+vAQ0AJCUlwc/PD2lpaUhOTu60SiwXrOuN6pd/lp2dHcaMGYNDhw7hwIEDkEgknFed/O6777ot7pSRkWEcVJ49exZLly595G2z1LUg1nPJbLBw7tw5eHh4wM3NDdbW1li4cCGys7NZxXOWl5eHmzdvMs8dNmwYfH19ATz8perl5YVr167xyhLaZ2VlZWhubu60rba2FnV1dbza01GfPn0glUohkUhgZWWFpqYm3lliq42esGwjyyyJRAI7OzsAD1f/bGtrg0TCbY2i/Px83Lp1i9ff31VP19WqVasQHx8PrVYLAKivr+ec29zcDLVajddeew0AYGVlhf79+/NqI+t6o/oVdrwd7yVSqRR3797ltH9JSQnu3LnTadu9e/eMf7axsQGXBRFZtc1S14JYzyWzwUJtbS2GDx9u/NnV1VXQs+MSiQRRUVEICwtDVlYWiyYCePgRUUlJCVJTUzFo0CBBWVevXoVarcb48eN57c+6z1hpampCQUEB1q5di3Xr1uH+/fu4cuUK7zyxHmdHLNvI+nh1Oh2mTZuGsWPHIigoCC+++CLvrI5WrFhhXFpXyPtAvLy8EBQUhIKCAqhUKl7v27h+/ToGDhyIrVu3IjIyEtu3b0dLSwuv9rDuf6pf/ll3797FxYsXERYWhiVLlkCr1aKmpoZXVlcKhQJff/01pk2bhtTUVFG0jcW1INZzKdoJjikpKfjyyy+xc+dOHDp0CBcuXBCcuWvXLri7u8PX1xfXrl3D3//+d95Zzc3NCA8PR1xcHAYMGCC4bWJiY2MDLy8vfP7550hMTISVlRV8fHx6u1lPrL59++LkyZMoLCzExYsXeX/t1dHevXsxfvx4TJ48GRqNptvXWVxIpVI4ODggICAAmzdvxsGDBzln6HQ6VFZWIiQkBF988QVsbGywf/9+3m0i4mBtbY1Ro0bhyy+/RHp6OqysrODp6ckkOzk5GXPnzsXJkyfx5ptviqJtLK4FsWI2WHBxcUF1dbXx55qaGri4uPDOGzJkCICHa5LL5XJBk53a3bhxA3q9HgaDASkpKfD39+eV8+DBA4SHh+Ott95CSEgI7/aw7jNWRo4cid9++w337t2DXq/Hzz//LGidebEeZ0cs22ip4x04cCAmTpwIlUolOKu+vt54LaSnpwv6tKKmpsb46V9hYSH0ej2cnJw4ZTg7O8PZ2RnPPfccAODll1/m/VZW1v1P9cs/y9XVFXfu3EFrayv0ej2qqqowbNgwXlm/59SpU5DL5aJoG4trQaznktlgwc/PD5WVlbhy5Qq0Wi3279/P+xdpS0uL8bujlpYWFBQUCJrZ365jIbzxxhsoLS3lnGEwGBAVFQUvLy9ERUUJag/LPmPpzp07cHFxgVT68G3gI0eORENDA+88sR5nRyzbyDKrsbERt2/fBvDwWsjLy+M8QawnQ4cONf551qxZKC8v5511+PBhTJkyBQDg6ekJa2trzvXi4OAAZ2dn442tuLiY9wRH1vVG9cs/q7m5GUOHDjXeS1xdXZnMn+n4j5fAwEBcvXpVFG1jcS2I9VwyWxtCKpUiKSkJ06dPh06nw7Jly3jPoG9sbER0dDSAh5O6ZsyYgYkTJ3LKyMjIgFwuh5OTE6qrqxETEwO5XA5fX18YDAb88ssviIyM5Ny2goICHDhwAM8//zwCAwMBAB9++CGmTZvGOUton61fvx6jR4+Gvb09kpOTceDAATQ1NWHFihUYMGAA3nvvPfzyyy+cP2Kuq6tDRUUFli9fDr1eD41Gg+LiYq6HZ8SyNiyFZRtZZmk0Gqxfvx46nQ4GgwGzZ882+zHHdsnJyZg0aRIcHR2hVqsRHx+PwMBA+Pj4wGAw4Ndff+022/z39HRdKZVKKJVKqNVqaLVaLFmyhM+hYu3atYiLi8ODBw/w9NNPG+8BXLGuN6pf/lk3btxAVVUV5s2bB4PBgPr6es6z8WNjY+Hr64tBgwYhKysLqampmDBhAkaMGGG8P23btu2Rt81S14JYz6WEyyxSmUxmYLUAFOuFpPz8/JhliXkhqblz5zLLYjVRrt1f//pXJjkymQxFRUXcpvybl8usflljOWHuhRdeYJbF+omif//738yygoODmWWxZIn6FXPtCn3XTEdfffUVsywxLyTF9+mNR0EikZw3GAzdZmaKdoIjIYQQQsSBBguEEEIIMYkGC4QQQggxiQYLhBBCCDGJBguEEEIIMYnZo5NcsX7r4aRJk5hlsX6CgSXWTzAQftrffcCKmJ9gYInvq9GJePFZxOn3eHt7M8t66623mGUBwLJly5jmPW7okwVCCCGEmESDBUIIIYSYRIMFQgghhJhEgwVCCCGEmESDBUIIIYSYxHSwcPz4cXh7e8PDwwPx8fGC83Q6HebMmcNrwad3330XR48eRXp6unHb6tWr8dVXXyEtLQ1xcXHo378/r3axPE6WWf7+/lAoFFi5ciXmzJmDvn37iiILYF8blsCqjTU1NZg9ezZeeuklBAQEcH53fmJiIioqKvDjjz8at0VHR6O0tBQqlQoqlYrTYlKpqanQaDRQq9WdtkdFRaG8vBylpaXYsmXLI8/qSGifdcW63p6k+mWdFRkZiREjRjB5Eqa5uRmxsbGIiIjA0qVLcenSJU77s7y2li5dih07duCjjz4ybpPJZPjoo4+QkpLCe9VUQJznktlgQafTYc2aNTh27BjKysqQmZnJeXWxrtLT03kvTf3dd991W0mvsLAQ4eHhiIiIQHV1NcLCwjjnsjxOlln29vbw8/ODUqlESkoKJBIJ79XFWGYBlqkN1li2USqV4pNPPsFPP/2EU6dOYc+ePaioqDB7/8zMTMyfP7/b9l27dkEul0Mul+P77783Oy8tLQ0zZszotE0ulyM0NBRjx46Fj48Ptm/f/sizOhLaZx2xrrcnrX5ZH29YWBiys7N5799RUlIS/Pz8kJaWhuTkZM6/kFleW2fOnMGOHTs6bautrcXnn3+Oy5cvc2pXR2I9l8wGC+fOnYOHhwfc3NxgbW2NhQsXCiqQ69evQ6VSYd68ebz2LykpwZ07dzptKywshE6nAwBcunQJzs7OnHNZHifrPuvTpw+kUikkEgmsrKzQ1NQkiizWx2kJLNs4bNgw+Pr6Ang48PLy8sK1a9fM3j8/Px+3bt3i9Xf3JC8vr9u7F1atWoX4+HhotVoAQH19/SPP6khon3XEut6etPplfbyBgYFwcHDgvX+75uZmqNVqvPbaawAAKysrzp8Os7y2Ll++jLt373badu3aNWg0GkG5Yj2XzAYLtbW1GD58uPFnV1dXQcvuxsXFYfPmzejTxzLTKmbNmoWCggLO+7E8TpZZTU1NKCgowNq1a7Fu3Trcv38fV65c6fUsgH1tWIKl2nj16lWo1WomH8GuWLECubm5SExMFPziMC8vLwQFBaGgoAAqlQoyWbcVaXslCxDeZ6zP5ZNWv2I93uvXr2PgwIHYunUrIiMjsX37drS0tDDJZnltCSXWcynKCY6nT5+Gg4MDfHx8LJIfHh4OnU6HkydPWiS/N9jY2MDLywuff/45EhMTYWVlxbv/WGY9yZqbmxEeHo64uDjBbyzdu3cvxo8fj8mTJ0Oj0eDjjz8WlCeVSuHg4ICAgABs3rwZBw8eFEUWyz4jfyw6nQ6VlZUICQnBF198ARsbG+zfv19wLutr64+K2WDBxcUF1dXVxp9ramrg4uLCK+vChQvIyclBcHAwNmzYgIKCAmzatIlJO2fOnImJEyfib3/7G6/9WR4ny6yRI0fit99+w71796DX6/Hzzz/D1dW117MAtsdpKazb+ODBA4SHh+Ott95CSEiI4PbV19dDr9fDYDAgPT1d8Gu/a2pqkJWVBeDh13N6vR5OTk69msWqz1ifyyetfsV6vM7OznB2dsZzzz0HAHj55ZdRWVkpOJf1tSWUWM8ls8GCn58fKisrceXKFWi1Wuzfv5/3Bb9x40bk5uYiJycHCQkJCAgI4DVpqquXXnoJixcvxv/+7//i/v37vDJYHifLrDt37sDFxQVS6cPlPkaOHImGhoZezwLYHqelsGyjwWBAVFQUvLy8EBUVxaR9Q4cONf551qxZKC8vF5R3+PBhTJkyBQDg6ekJa2tr3ueYRRbLPmNdb09a/Yr1eB0cHODs7Gz85VdcXCzoiYN2rK8tocR6LpktJCWVSpGUlITp06dDp9Nh2bJlgmbQCxUbGwtfX18MGjQIWVlZSE1NRVhYGKysrIwzWC9dusR5EMLyOFlm1dXVoaKiAsuXL4der4dGo0FxcXGvZwHiq42esGxjQUEBDhw4gOeffx6BgYEAgA8//BDTpk0za//k5GRMmjQJjo6OUKvViI+PR2BgIHx8fGAwGPDrr792e9LHlIyMDMjlcjg5OaG6uhoxMTFQKpVQKpVQq9XQarVYsmTJI8/qSGifdcS63p60+mV9vOHh4cjLy0NDQwPc3d3xwQcfICIiglfW2rVrERcXhwcPHuDpp59GdHQ0p/1ZXlsKhQLe3t7o378/tm3bhuzsbNy9exeLFy+Gvb091q1bh+rq6m5PTPw3Yj2XEoPBYPb/WCaTGYqKinj9RV0JebSkJyxXBOv4DK7YfPrpp73dhN/117/+lUmOTCZDUVGRhElY51xm9ct61Uk3NzdmWWJedfK3335jltXbE9F+jyXql2Xtstba2sos6+zZs8yyWK86OWfOHGZZqampzLJYk0gk5w0GQ7dZyqKc4EgIIYQQ8aDBAiGEEEJMosECIYQQQkyiwQIhhBBCTGL2NERvmzlzZm834ZFg+RrgwYMHM8t60rCeXMfyDXm2trbMslhrbm5mliXWCY5ix3JCIvDwpUas/Oc//2GWxdrnn3/e203oVfTJAiGEEEJMosECIYQQQkyiwQIhhBBCTKLBAiGEEEJMosECIYQQQkxiOlg4fvw4vL294eHhgfj4eMF5Op0Oc+bMQWRkpKAcf39/KBQKrFy5EnPmzEHfvn0F5bE8TpZZgYGB2LRpEzZt2oSgoCBBWWLuM0sR63mNjIzEiBEjMH78eF77p6amQqPRQK1Wd9oeFRWF8vJylJaWYsuWLY88q6PW1lbMmjULr776KoKDgwUvHMe63p6k+hVab1298MILWLBgARYsWICpU6dyvpfMnz8fsbGxnVYetrW1hUKhwDvvvAOFQmH2E0CJiYmoqKjo9Er/6OholJaWQqVSQaVSYerUqZzaB7DvMzHei5gNFnQ6HdasWYNjx46hrKwMmZmZKCsrE5SZnp4Od3d3QRn29vbw8/ODUqlESkoKJBKJoEVRWB4ny6xhw4YhICAAO3fuREJCAp577jk4OjryyhJzn1mKWM8rAISFhSE7O5v3/mlpaZgxY0anbXK5HKGhoRg7dix8fHzM/uXMMqujp556CgcPHsSpU6dw4sQJqFQqnD9/nnMOwL7/n7T6FVpvHdnZ2WHMmDE4dOgQDhw4AIlEAg8PD04ZRUVFSElJ6bQtODgYlZWV2LJlCyorKxEcHGxWVmZmJubPn99t+65duyCXyyGXy/H9999zah/Ats/Eei9iNlg4d+4cPDw84ObmBmtrayxcuFBQ512/fh0qlQrz5s0T3LY+ffpAKpVCIpHAysoKTU1NvLNYHifLrCFDhuDq1at48OAB9Ho9qqqqMGbMGF5ZgHj7zFLEel6Bh58YOTg48N4/Ly+v2+JSq1atQnx8PLRaLQCgvr7+kWd1JJFIYGdnBwBoa2tDW1sbJBJ+azGx7v8nrX6F1ltXHe8lUqkUd+/e5bR/VVUV7t2712nb6NGj0b6wVlFRkdn/mMnPz2f6rpp2LPtMrPciZoOF2tpaDB8+3Pizq6uroBfNxMXFYfPmzejTR1gTm5qaUFBQgLVr12LdunW4f/8+rly5wjuP5XGyzLp+/Trc3NzQr18/WFlZ4dlnn8WgQYN4ZYm5zyxFrOfVUry8vBAUFISCggKoVCrIZN0WmXvkWTqdDtOmTcPYsWMRFBSEF198kVcO6/5/HM6nWNt49+5dXLx4EWFhYViyZAm0Wi1qamoE59rb2xv/AdPU1AR7e3tBeStWrEBubi4SExN7/WVfYr0XiXKC4+nTp+Hg4AAfHx/BWTY2NvDy8sLnn3+OxMREWFlZMckVmxs3buD06dPGeQZ1dXXQ6/W8sp6UPnuSSaVSODg4ICAgAJs3b8bBgwd7Patv3744efIkCgsLcfHiRVRUVPBuExEHa2trjBo1Cl9++SXS09NhZWUFT09P5n+PwWDgve/evXsxfvx4TJ48GRqNBh9//DHDlv1xMBssuLi4oLq62vhzTU0NXFxceGVduHABOTk5CA4OxoYNG1BQUNBpcgsXI0eOxG+//YZ79+5Br9fj559/hqurK68sgO1xsswCHn7k9Nlnn+Ef//gHWlpa0NDQwCtHzH1mKWI+r5ZQU1ODrKwsAEBhYSH0ej2cnJx6PQt4+BrniRMnQqVS8dqfdf8/DudTrG10dXXFnTt30Nraavx6dNiwYYJzO36aYG9vL+g14vX19dDr9TAYDEhPT+f9iRYrYr0XMRss+Pn5obKyEleuXIFWq8X+/fsREhLCK2vjxo3Izc1FTk4OEhISEBAQwHt29J07d+Di4gKp9OEyGCNHjuT9SxRge5wsswCgf//+AIBBgwZhzJgxuHDhAq8cMfeZpYj5vFrC4cOHMWXKFACAp6cnrK2teZ9jFlmNjY24ffs2AKClpQV5eXmcJ8K1Y93/j8P5FGsbm5ubMXToUOO9xNXVlcmcgbKyMuPXXTKZDJcuXeKdNXToUOOfZ82ahfLycsHtE0Ks9yJmC0lJpVIkJSVh+vTp0Ol0WLZsmaAZ9KzU1dWhoqICy5cvh16vh0ajQXFxMe88lsfJus/Cw8NhZ2cHnU6HrKws3gvGiLnPLEXs5zUvLw8NDQ1wd3fHBx98gIiICLP3z8jIgFwuh5OTE6qrqxETEwOlUgmlUgm1Wg2tVoslS5Y88qyONBoN1q9fD51OB4PBgNmzZ/N6hA1g3/9PWv0KrbeObty4gaqqKsybNw8GgwH19fWcZ+O//fbbcHd3h52dHd5//32cPHkSOTk5CAsLg7+/P27duoV9+/aZlZWcnIxJkybB0dERarUa8fHxCAwMhI+PDwwGA3799Vds3LiR83Gy7DOx3oskXL7rkclkhvYZqEJdvnyZSU67f/7zn8yy/vrXvzLLYo3v1zE9Yb3qJKt+k8lkKCoq4jcV3nQus/pljeVKgGJedZLF5LZ2YviYvSeWqF+WtfukrDrJsl0A25VhbWxsmGWxJpFIzhsMhm6zlEU5wZEQQggh4kGDBUIIIYSYRIMFQgghhJhEgwVCCCGEmESDBUIIIYSYxOzRyd7G950ClsZ65nFBQQGzrP/5n/9hlkWIOX7++WdmWWJ9GkLs/v73vzPNe//995nmsVJYWMg0T8xPMDwK9MkCIYQQQkyiwQIhhBBCTKLBAiGEEEJMosECIYQQQkxiOlg4fvw4vL294eHhgfj4eMF5Op0Oc+bMQWRkJOd9V69eDaVSiR07dhi3TZgwAZ999hn++c9/wt3dnXe7WB1nZGQkRowYgfHjx/Pa/91338XRo0eRnp5u3LZ69Wp89dVXSEtLQ1xcnHFxKa7q6uoQHR1t/C8iIgLffvstryyAfW1YAss2sswSWiepqanQaDRQq9WdtkdFRaG8vBylpaXYsmXLI8/qqrm5GbGxsYiIiMDSpUsFLQ7Eut6etPr18/PDypUroVAo4Ofnx2lf1jViyZoLCQnBwoULsXjxYoSHh/PKaCfW+werLGaDBZ1OhzVr1uDYsWMoKytDZmYm5wVDukpPT+f9S12lUnVbl/zXX3/F1q1bBbWL5XGGhYUhOzubd1u+++67boueFBYWIjw8HBEREaiurkZYWBiv7GeeeQZbt27F1q1bER8fD2tra/j7+/PKskRtsMayjayPV2idpKWlYcaMGZ22yeVyhIaGYuzYsfDx8TF7VVeWWV0lJSXBz88PaWlpSE5Oxp/+9CdeOaz7/0mrX2dnZ/j6+mLv3r1ISUmBp6cnp3VkWNeIJWsOAHbv3o2MjIxO/+jiSqz3D5ZZzAYL586dg4eHB9zc3GBtbY2FCxcKusFdv34dKpUK8+bN47V/WVlZtzXOa2trUVdXx7tNANvjDAwMhIODA++2lJSU4M6dO522FRYWQqfTAQAuXboEZ2dn3vnt1Go1hg4dyjuLdW1YAss2sj5eoXWSl5eHmzdvdtq2atUqxMfHQ6vVAgDq6+sfeVZHzc3NUKvVeO211wAAVlZWvD8VY93/T1r9Ojo6oq6uDm1tbcaVGL29vc3en3WNWKrmWBLr/YNlFrPBQm1tLYYPH2782dXVVdAqXXFxcdi8eTP69BHXtArWx2lJs2bNYvJehrNnz2LSpEm8938c+oxlGx+H4/Xy8kJQUBAKCgqgUqkgk3VbZO6RZl2/fh0DBw7E1q1bERkZie3bt6OlpYVXe1j3/+NwPlm2sb6+HsOHD4etrS2kUinc3d0xYMAAQe1jWW8s8yQSCaKiohAWFoasrCze7RHr/YNllihfynT69Gk4ODjAx8cHP/30U28357EUHh4OnU6HkydPCsppa2vD+fPnsWjRIkYtI2IglUrh4OCAgIAA+Pn54eDBg3Bzc+u1LJ1Oh8rKSqxduxbPPfcckpKSsH//fixdupRXmwh/jY2NyM/Px6JFi/DgwQNoNBoYDAZBmSzrjWVeSkoKhgwZgps3byIqKgojR47Eiy++yLtdf2TM/tnu4uKC6upq4881NTW837B24cIF5OTkIDg4GBs2bEBBQQE2bdrEqqmCsDxOS5k5cyYmTpyIv/3tb4KziouLMWrUKAwaNIh3xuPQZyzb+Dgcb01NjfFfUoWFhdDr9XBycuq1LGdnZzg7O+O5554DALz88suorKzk1R7W/f84nE/WbSwpKYFSqcS+ffvQ2tra7WsArljWG8u8IUOGAAAcHBwgl8t5T6oV6/2DZRazwYKfnx8qKytx5coVaLVa7N+/HyEhIbyyNm7ciNzcXOTk5CAhIQEBAQGCJrCwxPI4LeGll17C4sWL8b//+7+4f/++4LwzZ85g4sSJgjLE3mcA2zY+Dsd7+PBhTJkyBQDg6ekJa2trNDQ09FqWg4MDnJ2djTe24uJi3hMcWff/43A+WbexX79+AIABAwbA29sbpaWlgtrHst5Y5bW0tODu3bvGPxcUFPCeUC/W+wfLLGZfQ0ilUiQlJWH69OnQ6XRYtmwZRo8ezSqes/Xr12P06NGwt7dHcnIyDhw4gKamJqxYsQIDBgzAe++9h19++aXbExP/DcvjDA8PR15eHhoaGuDu7o4PPvgAERERZu8fGxsLX19fDBo0CFlZWUhNTUVYWBisrKyMj4xeunSJ90CrtbUVarUaCoWC1/7txFYbPWHZRtbHK7ROMjIyIJfL4eTkhOrqasTExECpVEKpVEKtVkOr1WLJkiWPPKurtWvXIi4uDg8ePMDTTz+N6OhoXjms+/9Jq18AmDt3LmxtbaHX63HixAlO//BgXSOWqrnGxkZjjbW1tWHGjBm8/2Ek1vsHyywJl++iZDKZoaioiNdf1NXly5eZ5LR79913mWV9/fXXzLJYLyQ1depUZlmsF5KaP38+kxyZTIaioiIJk7DOuczqlzWWdWJra8ssi7V///vfzLKCg4OZZbFkifplWbuffvopk5x2T8pCUkInZT4uJBLJeYPB0O1gxfWoASGEEEJEhwYLhBBCCDGJBguEEEIIMYkGC4QQQggxiQYLhBBCCDGp197gOHToUKZ5KpWKWRbLGfO7du1ilsUaq6cXCCGPDy6P3Zrj2LFjzLLOnDnDLIvrapn/zbJly5hlvfPOO8yygIevv7Y0+mSBEEIIISbRYIEQQgghJtFggRBCCCEm0WCBEEIIISYxHSwcP34c3t7e8PDwQHx8PO+cmpoazJ49Gy+99BICAgJ4TRJMTExERUUFfvzxx27/v9WrV6OxsREODg682hcSEoKFCxdi8eLFCA8P57Tv0qVLsWPHDnz00UfGbXZ2dtiwYQPi4uKwYcMG4yIu/827776Lo0ePIj093bht9erV+Oqrr5CWloa4uDj079+fU/vasTqXlsqzBJZtZJkVGRmJESNGYPz48bz2T01NhUajgVqt7rQ9KioK5eXlKC0txZYtWx55VlfNzc2IjY1FREQEli5dynsFQIDqV0gbW1tbMWvWLLz66qsIDg7mvLZMT/elFStWIC0tDXv37kVCQgIcHR3NzhNr/fZ0L5fJZPjoo4+QkpLCeyG0djqdDnPmzEFkZKSgHFZ1wWywoNPpsGbNGhw7dgxlZWXIzMxEWVkZryypVIpPPvkEP/30E06dOoU9e/agoqKCU0ZmZmaPs/2feeYZTJkypdOynXzs3r0bGRkZnS4Ic5w5c8a4yFO7mTNnory8HO+99x7Ky8vx2muvmZX13XffYePGjZ22FRYWIjw8HBEREaiurkZYWBin9gFsz6Ul8iyBZRtZH29YWBiys7N575+WloYZM2Z02iaXyxEaGoqxY8fCx8fH7F8ILLO6SkpKgp+fH9LS0pCcnMz7Zkv1K6yNTz31FA4ePIhTp07hxIkTUKlUOH/+vNn793RfysjIMA4Cz549i6VLl5qdJ9b67eleXltbi88//5zJ2kfp6em8V8Fsx7IumA0Wzp07Bw8PD7i5ucHa2hoLFy7kfYMbNmwYfH19AQD29vbw8vLCtWvXOGXk5+fj1q1b3bZ/+umniI2NBZcFtFi6fPmycVnUduPGjcPZs2cBAGfPnsW4cePMyiopKcGdO3c6bSssLIROpwPwcMVJZ2dnzm1keS4tkWcJLNvI+ngDAwN5fwoGAHl5ebh582anbatWrUJ8fDy0Wi0AoL6+/pFnddTc3Ay1Wm0cKFtZWfH+VIzqV1gbJRIJ7OzsADxcjbGtrQ0SifnrYvV0X7p3757xzzY2Npzuv2Kt357u5deuXYNGozFrf1OuX78OlUqFefPmCcphWRfMBgu1tbUYPny48WdXV1fU1tYKzr169SrUajXvj2A7mjlzJq5duybo403g4cUUFRWFsLAwZGVlCW7XgAEDcPv2bQDA7du3MWDAAMGZADBr1iwUFBRw3o/1ubRUbbDEso2Pw/F6eXkhKCgIBQUFUKlUglbUY5F1/fp1DBw4EFu3bkVkZCS2b9+OlpYWXu2h+hXeRp1Oh2nTpmHs2LEICgrCiy++KLiNCoUCX3/9NaZNm4bU1FRBWWKrX9bi4uKwefNm9Okj7Fc0y7oQ9QTH5uZmhIeHIy4uTvAvUFtbW6xfvx7/7//9P8HtSklJwZdffomdO3fi0KFDuHDhguDMjlh86hEeHg6dToeTJ08yaBH5o5FKpXBwcEBAQAA2b96MgwcP9mqWTqdDZWUlQkJC8MUXX8DGxgb79+/n3SYiTN++fXHy5EkUFhbi4sWLnL8G7klycjLmzp2LkydP4s033xSUJbb6Zen06dNwcHCAj49Pr7ajK2aDBRcXl07zAGpqauDi4sI778GDBwgPD8dbb72FkJAQwe0bOXIkRowYgdzcXBQXF+OZZ57B6dOnMWTIEM5Z7fs4ODhALpcL/qTizp07GDhwIABg4MCBaGpqEpQ3c+ZMTJw4EX/729947c/6XLLOswSWbXwcjrempsb4qVhhYSH0ej2cnJx6LcvZ2RnOzs547rnnAAAvv/wyKisrebWH6pddGwcOHIiJEycyfUPuqVOnIJfLBWWIrX5ZunDhAnJychAcHIwNGzagoKAAmzZt4pXFsi6YDRb8/PxQWVmJK1euQKvVYv/+/bx/yRsMBkRFRcHLywtRUVFM2ldeXo5nn30W48aNw7hx41BXV4cpU6bgxo0bnHJaWlqM31O1tLSgoKBA8CSUixcvYuLEiQCAiRMnori4mHfWSy+9hMWLF+N///d/cf/+fV4ZLM+lJfIsgWUbH4fjPXz4MKZMmQIA8PT0hLW1NRoaGnoty8HBAc7OzsYbW3FxMe8JjlS/wtrY2Nho/Fq0paUFeXl58PDwENQ+V1dX458DAwNx9epVQXliq1+WNm7ciNzcXOTk5CAhIQEBAQG8Jw2zrAtma0NIpVIkJSVh+vTp0Ol0WLZsGUaPHs0rq6CgAAcOHMDzzz+PwMBAAMCHH36IadOmmZ2RnJyMSZMmwdHREWq1GvHx8fjqq694taejxsZGREdHA3g4+WfGjBnGX/TmUCgU8Pb2Rv/+/bFt2zZkZ2fju+++w6pVqxAUFITGxkbs3r3brKzY2Fj4+vpi0KBByMrKQmpqKsLCwmBlZWWcpXvp0iXOhcbyXFoizxJYtpH18YaHhyMvLw8NDQ1wd3fHBx98wOn9/hkZGZDL5XByckJ1dTViYmKgVCqhVCqhVquh1WqxZMmSR57V1dq1axEXF4cHDx7g6aefNl5nXFH9CmujRqPB+vXrodPpYDAYMHv2bEydOtXs/Xu6L02YMAEjRoyAXq+HRqPBtm3bzM4Ta/32dC+/e/cuFi9eDHt7e6xbtw7V1dXdnph4lFjWhYTL9+MymczAapGl9pErK25ubsyyTpw4wSyL9UJSP//8M7Osnt5BIQYymQxFRUXmT782P5dZ/bLW2trKLMvW1pZZFmv//ve/mWUFBwczy2LJEvXLsnZZT85csGABsyyWC0mx9qQsJCWRSM4bDIZuszxFPcGREEIIIb2PBguEEEIIMYkGC4QQQggxiQYLhBBCCDGJBguEEEIIMYkGC4QQQggxidl7Frhqf2MhK//85z+ZZS1evJhZVlBQELMsQLyPOxJhbGxsmGWxfMRLqVQyywIerkjIire3N7MsAKJ7K6OlsD5Olvcklo91fvjhh8yyALbXAstH/QHgr3/9K9O8ntAnC4QQQggxiQYLhBBCCDGJBguEEEIIMYkGC4QQQggxielg4fjx4/D29oaHhwfi4+NFk9Xc3IzY2FhERERg6dKlnJeUjouLQ35+Pr755hvjtnXr1uHIkSPIzs6GUqk0e6nrpUuXYseOHfjoo4+M2+zs7LBhwwbExcVhw4YN6NevH6f2tRNr/1sizxLE2n9Cs3qqOZlMho8++ggpKSmcVndMTU2FRqOBWq3utD0qKgrl5eUoLS3Fli1bzMqaP38+YmNjOy2/a2trC4VCgXfeeQcKhYLXOhetra2YNWsWXn31VQQHB/Nesa8jqt/ez2JxXsV6LXTl5+eHlStXQqFQwM/Pj1dGO1b9z2ywoNPpsGbNGhw7dgxlZWXIzMxEWVlZr2cBQFJSEvz8/JCWlobk5GTOS99mZWVh+fLlnbbt2bMHISEhCA0NxenTp7FmzRqzss6cOdNtFbKZM2eivLwc7733HsrLy/Haa69xah8g7v5nnWcJYu0/Flk91VxtbS0+//xzXL58mVNWWloaZsyY0WmbXC5HaGgoxo4dCx8fH7Nv4kVFRUhJSem0LTg4GJWVldiyZQsqKyt5LRb11FNP4eDBgzh16hROnDgBlUqF8+fPc85pR/UrjiwW51Ws10JHzs7O8PX1xd69e5GSkgJPT08MHjyYcw7Atv+ZDRbOnTsHDw8PuLm5wdraGgsXLkR2dnavZzU3N0OtVht/AVtZWaF///6cMoqKirqtknn37l3jn/v16wdzV++8fPlyp30BYNy4cTh79iwA4OzZsxg3bhyn9gHi7X9L5FmCWPuPRVZPNXft2jVoNBrO7cnLy8PNmzc7bVu1ahXi4+Oh1WoBAPX19WZlVVVV4d69e522jR49Gu2rKxYVFfFaTlcikcDOzg7Aw2Xk29raIJHwXwSS6lccWSzOq1ivhY4cHR1RV1eHtrY2GAwG/Prrr7wfE2bZ/8wGC7W1tRg+fLjxZ1dXV97PzLLMun79OgYOHIitW7ciMjIS27dvR0tLC6+srtavX48ffvgBr7/+Onbu3Mk7Z8CAAcbByO3btzFgwADOGWLtf0vkWYJY++9x6DsvLy8EBQWhoKAAKpUKMlm31W3NZm9vj6amJgBAU1MT7O3teeXodDpMmzYNY8eORVBQEF588UXebXoczoFYa45137E8r5bA4lqor6/H8OHDYWtrC6lUCnd3d16/EwC2/f+Hn+Co0+lQWVmJkJAQfPHFF7CxscH+/fuZZO/YsQOTJ0/G0aNHERYWxiQTgNmfUhAiBlKpFA4ODggICMDmzZtx8OBBZtl8r4W+ffvi5MmTKCwsxMWLF1FRUcGsTaT3iP28srgWGhsbkZ+fj0WLFmHRokXQaDSi+J3AbLDg4uKC6upq4881NTW83xTGMsvZ2RnOzs547rnnAAAvv/wyKisreWX9niNHjmDatGm8979z547xjZYDBw40/suKC7H2vyXyLEGs/fc49F1NTQ2ysrIAAIWFhdDr9XBycuKV1fHTBHt7ezQ3Nwtq28CBAzFx4kSoVCreGY/DORBrzVmq71icV0tgdS2UlJRAqVRi3759aG1t7fZ1h7lY9j+zwYKfnx8qKytx5coVaLVa7N+/HyEhIb2e5eDgAGdnZ2OHFRcXc57g2JOOGVOnTkVVVRXvrIsXL2LixIkAgIkTJ6K4uJhzhlj73xJ5liDW/nsc+u7w4cOYMmUKAMDT0xPW1tZoaGjglVVWVmb86FYmk3F+cgl4+C+z9q/1WlpakJeXBw8PD17tAR6PcyDWmmOZxfq8WgKra6H9ibgBAwbA29sbpaWlvNrDsv+ZrQ0hlUqRlJSE6dOnQ6fTYdmyZbwmJ7HOAoC1a9ciLi4ODx48wNNPP43o6GhO+yckJMDf3x+DBw9Gbm4uEhMTMXnyZIwaNQp6vR51dXWIiYkxK0uhUMDb2xv9+/fHtm3bkJ2dje+++w6rVq1CUFAQGhsbsXv3bs7HKOb+Z51nCWLtPxZZPdXc3bt3sXjxYtjb22PdunWorq7uNku8JxkZGZDL5XByckJ1dTViYmKgVCqhVCqhVquh1WqxZMkSs9r19ttvw93dHXZ2dnj//fdx8uRJ5OTkICwsDP7+/rh16xb27dvH6VgBQKPRYP369dDpdDAYDJg9ezamTp3KOacd1a84slicV7FeC13NnTsXtra20Ov1OHHiBO7fv88rh2X/S7h8FyKTyQztM5XFJicnh1nWn//8Z2ZZrBeSSk1NZZonRjKZDEVFRfynr/9+rmjrl6Wuj/kKwXohqY0bNzLLWr9+PbMsgN0CS5ao3yeldp+UhaQ++eQTZlkA24WkJBLJeYPB0G1m5h9+giMhhBBChKHBAiGEEEJMosECIYQQQkyiwQIhhBBCTKLBAiGEEEJM4vQ0hEQiqQdw1XLNIQQA8CeDweDMOpTqlzwizOuXapc8Qj3WL6fBAiGEEEKePPQ1BCGEEEJMosECIYQQQkyiwQIhhBBCTKLBAiGEEEJMosECIYQQQkyiwQIhhBBCTKLBAiGEEEJMosECIYQQQkyiwQIhhBBCTKLBAiGEEEJMosECIYQQQkyiwQIhhBBCTJJy+R87OjoaRowYweQv7tu3L5Ocdrdu3WKWVVVVxSzrqaeeYpYFAKNHj2aWJZFImGWx9Msvv6ChoYF545ycnAwjR45kHSs6LBeHu3qV7UKHT0L/W6J+xVy7//nPf5hlsbxfurq6Mst6kpw/f76hp1UnOQ0WRowYAZVKxaRBAwcOZJLT7uDBg8yyFixYwCyL1eCq3ZkzZ5hl2djYMMtiSSaTWSR35MiRKCoqski2mLS2tjLLWrNmDbMsAEhNTWWaJ0aWqF8x1+7cuXOZZY0aNYpZ1vbt25llPUkkEkmP/0KgryEIIYQQYhINFgghhBBiEg0WCCGEEGISs8FCTU0NZs+ejZdeegkBAQHYtWuXoLzjx4/D29sbHh4eiI+PF5RVV1eH6Oho438RERH49ttvzd4/NTUVGo0GarXauC0mJgY1NTUoLi5GcXExZs6caVZWXFwc8vPz8c033xi3rVu3DkeOHEF2djaUSiWGDBli/sF1EBkZiREjRmD8+PG89u+IZf9bIs8SWLZRrFlCa2Tp0qXYsWMHPvroI+M2mUyGjz76CCkpKfjTn/7Eu21i7TNL5FmCWPpv9erVUCqV2LFjh3FbeHg4EhMTkZCQgOjoaPTr18/svPnz5yM2NhabNm0ybrO1tYVCocA777wDhUIBW1tbTm1sJ5Y+exyymA0WpFIpPvnkE/z00084deoU9uzZg4qKCl5ZOp0Oa9aswbFjx1BWVobMzEyUlZXxbtszzzyDrVu3YuvWrYiPj4e1tTX8/f3N3j8tLQ0zZszotn3Hjh0YN24cxo0bh2PHjpmVlZWVheXLl3fatmfPHoSEhCA0NBSnT5/mPaksLCwM2dnZvPbtiHX/s86zBJZtFGsWILxGzpw50+mXAADU1tbi888/x+XLl3nnirnPqH65ZalUKnz88cedtpWUlOAvf/kLNmzYgLq6Orz55ptm5xUVFSElJaXTtuDgYFRWVmLLli2orKxEcHCw2XntxNRnj0MWs8HCsGHD4OvrCwCwt7eHl5cXrl27xivr3Llz8PDwgJubG6ytrbFw4UImvwQBQK1WY+jQoXB27vZkyO/Ky8vDzZs3mfz9RUVFuH37dqdtd+/eNf65X79+vB99CwwMhIODg6D2Aez735LnkxWWbRRrFiC8Ri5fvtypXgHg2rVr0Gg0vDMBcfcZ1S+3rLKyMjQ3N3faVlJSAr1eD+BhDTk6OpqdV1VVhXv37nXaNnr0aOPTIUVFRbweKRdTnz0OWRaZs3D16lWo1WreH3XW1tZi+PDhxp9dXV1RW1vLpG1nz57FpEmTmGRFRUWhpKQEqampGDRokKCs9evX44cffsDrr7+OnTt3MmkfX6z735LnkxWWbRRrlpiJuc8eh3Mg5v7r6pVXXkFxcbGgDHt7ezQ1NQEAmpqaYG9vzzlDrH0m1izmg4Xm5maEh4cjLi4OAwYMYB0vSFtbG86fP4+AgADBWbt27YK7uzt8fX1x7do1/P3vfxeUt2PHDkyePBlHjx5FWFiY4PYRQojYzJ07FzqdDrm5uUxzWb6IjPSM6WDhwYMHCA8Px1tvvYWQkBDeOS4uLqiurjb+XFNTAxcXF8HtKy4uxqhRowR/CgAAN27cgF6vh8FgQEpKCqc5EKYcOXIE06ZNY5LFF+v+t9T5ZIllG8WaJWZi7rPH4RyIuf/aTZkyBePHj8dnn30mOKvjpwn29vbdvvYwh1j7TKxZzAYLBoMBUVFR8PLyQlRUlKAsPz8/VFZW4sqVK9Bqtdi/f7+gwUe7M2fOYOLEiYJzgIdzNNq98cYbKC0t5Z3VcQb51KlTmb5umg/W/W+p88kSyzaKNUvMxNxnj8M5EHP/AYCvry9CQ0MRHx8PrVYrKAt4OC+i/U2ZMpkMly5d4pwh1j4Taxan1z2bUlBQgAMHDuD5559HYGAgAODDDz/k9a9kqVSKpKQkTJ8+HTqdDsuWLRO8JkJrayvUajUUCgXnfTMyMiCXy+Hk5ITq6mrExMRALpfD19cXBoMBv/zyCyIjI83KSkhIgL+/PwYPHozc3FwkJiZi8uTJGDVqFPR6Perq6hATE8O5jcDDx5Py8vLQ0NAAd3d3fPDBB4iIiOCcw7r/LXE+WWPZRrFmAcJrRKFQwNvbG/3798e2bduQnZ2Nu3fvYvHixbC3t8e6detQXV3d7YmJ/0bMfUb1yy1r/fr1GD16NOzt7ZGcnIwDBw7gjTfegJWVFT788EMADyc5Jicnm5X39ttvw93dHXZ2dnj//fdx8uRJ5OTkICwsDP7+/rh16xb27dv3yI/zScuScPmuZ9y4cQZaG4IbT09PZlkA8P/9f/8fsywxrw1RVFTEfCEpmUxmEOv79VmitSF6lyXqV8y1S2tD/LFIJJLzBoOh2wIn9AZHQgghhJhEgwVCCCGEmESDBUIIIYSYRIMFQgghhJjE6WmIvn37MpuY+OmnnzLJafd///d/zLL+/e9/M8t65ZVXmGUBEPSIZlftjx6RP5YjR44wy6IaIf9NxwX2hMrKymKWJfRFeV2xnKwuZB2V3kKfLBBCCCHEJBosEEIIIcQkGiwQQgghxCQaLBBCCCHEJBosEEIIIcQkGiwQQgghxCSmg4Xjx4/D29sbHh4eiI+PF5Tl7+8PhUKBlStXYs6cOejbty+n/ePi4pCfn49vvvnGuG3dunU4cuQIsrOzoVQqMWTIEF5ta25uRmxsLCIiIrB06VJOK56lpqZCo9F0etwoJiYGNTU1KC4uRnFxMWbOnMmrXSEhIVi4cCEWL16M8PBwXhntWJ5LS+RZAss2ijWrrq4O0dHRxv8iIiLw7bff8s574YUXsGDBAixYsABTp07lfJ12JNY+s0SeJYil/3q697ZbtmwZLl++jMGDB5ud19M9EwCioqJQXl6O0tJSbNmy5ZFnsT7OjsRyLjtiNljQ6XRYs2YNjh07hrKyMmRmZqKsrIxXlr29Pfz8/KBUKpGSkgKJRMJ5paysrCwsX76807Y9e/YgJCQEoaGhOH36NO9FcpKSkuDn54e0tDQkJyd3WmL6v0lLS8OMGTO6bd+xYwfGjRuHcePG4dixY7zaBQC7d+9GRkYG0tPTeWewPJeWyLMElm0UaxYAPPPMM9i6dSu2bt2K+Ph4WFtbw9/fn1eWnZ0dxowZg0OHDuHAgQOQSCTw8PDglSXmPqP65ZbV070XAIYNG4ZJkyahtraWU3t6umfK5XKEhoZi7Nix8PHxMXvRKJZZrI+znZjOZUfMBgvnzp2Dh4cH3NzcYG1tjYULFyI7O5t3Xp8+fSCVSiGRSGBlZYWmpiZO+xcVFeH27dudtt29e9f45379+oHLipvtmpuboVar8dprrwEArKys0L9/f7P3z8vLw82bNzn/vY8S63PJOs8SWLZRrFldqdVqDB06FM7OzrwzOl6nUqm00zXGhZj7jOqXW1ZP914AeO+997Bt2zbO992e7pmrVq1CfHw8tFotAKC+vv6RZ7E+znZiOpcdMRss1NbWYvjw4cafXV1deY+smpqaUFBQgLVr12LdunW4f/8+rly5wqSd69evxw8//IDXX38dO3fu5Lz/9evXMXDgQGzduhWRkZHYvn07WlpaBLcrKioKJSUlSE1NxaBBg3hlSCQSREVFISwsTNCb0FieS0vkWQLLNoo1q6uzZ89i0qRJvPe/e/cuLl68iLCwMCxZsgRarRY1NTW8ssTcZ1S/wo/3lVdegUajQUVFhaCcdl5eXggKCkJBQQFUKpWgN42yzGJxnGI9l6Kc4GhjYwMvLy98/vnnSExMhJWVFXx8fJhk79ixA5MnT8bRo0cRFhbGeX+dTofKykqEhITgiy++gI2NDfbv3y+oTbt27YK7uzt8fX1x7do13q8pTUlJwZdffomdO3fi0KFDuHDhgqB2kT+utrY2nD9/HgEBAbwzrK2tMWrUKHz55ZdIT0+HlZUV01fikj8GGxsb/PnPf+b1j7PfI5VK4eDggICAAGzevBkHDx7s9SxLHKeYMBssuLi4oLq62vhzTU0NXFxceGWNHDkSv/32G+7duwe9Xo+ff/4Zrq6urJoK4OH786dNm8Z5P2dnZzg7O+O5554DALz88suorKwU1JYbN25Ar9fDYDAgJSWF93fI7RM2HRwcIJfLOU287IjlubREniWwbKNYszoqLi7GqFGjeH+KBTz8V8qdO3fQ2toKvV6PqqoqDBs2jFeWmPuM6lfY8Y4YMQKurq44cuQIcnJyMGzYMPzrX/+Ck5MT78yamhrjp6eFhYXQ6/W881hlsTpOsZ5LZoMFPz8/VFZW4sqVK9Bqtdi/fz9CQkJ4Zd25cwcuLi6QSh+uczVy5Eg0NDQIbmPHiYhTp05FVVUV5wwHBwc4OzsbT0BxcTGnCY496XiDfeONN3gtFtXS0mL8vrilpQUFBQVwd3fn1R6W59ISeZbAso1izerozJkzmDhxoqCM5uZmDB061Hidurq64tatW7yyxNxnVL/Cjvfy5cuYMGECgoODERwcjOvXr+ONN94QdE8/fPgwpkyZAuDhAk/W1ta881hlsTpOsZ5LTqtOmgySSpGUlITp06dDp9Nh2bJlnJ9gaFdXV4eKigosX74cer0eGo0GxcXFnDISEhLg7++PwYMHIzc3F4mJiZg8eTJGjRoFvV6Puro6xMTE8Grf2rVrERcXhwcPHuDpp59GdHS02ftmZGRALpfDyckJ1dXViImJgVwuh6+vLwwGA3755RdERkZyblNjY6OxHW1tbZgxYwbvXwYsz6Ul8iyBZRvFmtWutbUVarUaCoVCUM6NGzdQVVWFefPmwWAwoL6+nvdMazH3GdUvt6ye7r2HDh3i1Rag53umUqmEUqmEWq2GVqvFkiVLHnkW6+NsJ6Zz2ZGEy4xNmUxmKCoq4vUXdSXmJap3797NLIv1EtWFhYXMssS6/LBMJkNRUZHEArnM6lfMhHx/21VjYyOzLODhzPM/OkvUr5hr18vLi1mW0K90LelJWaJaIpGcNxgM3X45iHKCIyGEEELEgwYLhBBCCDGJBguEEEIIMYkGC4QQQggxidnTEFxFRUUxzdu4cSOzrBdeeIFZFuuX1Ih1UiIRprW1lVlWYmIis6yPPvqIWRaAHl+PKxYDBw7s7SY8lvguyNcTlhMcHRwcmGUBYPq4LMvrHXj4QihLo08WCCGEEGISDRYIIYQQYhINFgghhBBiEg0WCCGEEGISDRYIIYQQYhLTwcLx48fh7e0NDw8PxMfH886pqanB7Nmz8dJLLyEgIAC7du0S1K7IyEiMGDEC48eP57V/XFwc8vPz8c033xi3rVu3DkeOHEF2djaUSqXZM4JZZnXFqv9ZZ1kizxLE2n9C6/fdd9/F0aNHkZ6ebty2YsUKpKWlYe/evUhISICjoyOv7ObmZsTGxiIiIgJLly7lvdIpy2ue9f0DoPrlgnW9paamQqPRQK1Wd9oeFRWF8vJylJaWYsuWLWZlJSYmoqKiAj/++KNxW3R0NEpLS6FSqaBSqTB16lSzsubPn4/Y2Fhs2rTJuM3W1hYKhQLvvPMOFAoFbG1tzcrqSug13xGrumA2WNDpdFizZg2OHTuGsrIyZGZmClpU5pNPPsFPP/2EU6dOYc+ePaioqODdtrCwMGRnZ/PePysrC8uXL++0bc+ePQgJCUFoaChOnz6NNWvWPPKsjlj2P8ssS+RZgpj7T2j9fvfdd90eLc7IyDD+gj979iyWLl3KKzspKQl+fn5IS0tDcnIy7xVYWV7zrO8fVL/csljXW1paGmbMmNFpm1wuR2hoKMaOHQsfHx9s377drKzMzEzMnz+/2/Zdu3ZBLpdDLpfj+++/NyurqKgIKSkpnbYFBwejsrISW7ZsQWVlJYKDg83K6kroNd+OZV0wGyycO3cOHh4ecHNzg7W1NRYuXMj7YIcNGwZfX18AgL29Pby8vHDt2jXebQsMDBT0zG1RUVG358Pbl4MGgH79+sHcBblYZnXEsv9ZZlkizxLE3H9C67ekpAR37tzptO3evXvGP9vY2PCquebmZqjVarz22msAACsrK/Tv359XG1le86zvH1S/3LJY11teXh5u3rzZaduqVasQHx8PrVYLAKivrzcrKz8/n/cy6l1VVVV1Oi4AGD16NNoX/CoqKuK9wqPQa74dy7pgNliora3F8OHDjT+7urqitrZWcO7Vq1ehVquZfBzD2vr16/HDDz/g9ddfx86dO3s1i2X/sz6XlqoNlsTcf5aiUCjw9ddfY9q0aUhNTeW8//Xr1zFw4EBs3boVkZGR2L59O1paWgS3i+U1zyLrcTifj0P9Cq23jry8vBAUFISCggKoVCrBL6tbsWKFcZlpIS/nsre3R1NTEwCgqakJ9vb2gtolFMtzKeoJjs3NzQgPD0dcXBwGDBjQ283pZseOHZg8eTKOHj2KsLAw0WQRYo7k5GTMnTsXJ0+exJtvvsl5f51Oh8rKSoSEhOCLL76AjY0N9u/fL6hNLK95sd8/njRC660jqVQKBwcHBAQEYPPmzYKWZd+7dy/Gjx+PyZMnQ6PR4OOPPxbUto74fGInVswGCy4uLqiurjb+XFNTAxcXF955Dx48QHh4ON566y2mr9m0hCNHjmDatGm9msWy/1mfS9Z5liDm/rO0U6dOQS6Xc97P2dkZzs7OeO655wAAL7/8sqDX9bK85llmPQ7n83GqX7711lFNTQ2ysrIAAIWFhdDr9XBycuKVVV9fD71eD4PBgPT0dLz44ou829Xx0wR7e3s0NzfzzmKB5blkNljw8/NDZWUlrly5Aq1Wi/379/O+SA0GA6KiouDl5cV8DQlWOk7kmjp1Kqqqqno1i2X/s8yyRJ4liLn/LMHV1dX458DAQFy9epVzhoODA5ydnY03o+LiYt4THFle86zvH4/D+RR7/bKot44OHz6MKVOmAHi4/o61tTUaGhp4ZQ0dOtT451mzZqG8vJx3u8rKyoxfichkMt5PB7HC8lwyW0hKKpUiKSkJ06dPh06nw7Jly3hP7igoKMCBAwfw/PPPIzAwEADw4Ycf8v7Xe3h4OPLy8tDQ0AB3d3d88MEHiIiIMHv/hIQE+Pv7Y/DgwcbvtSZPnoxRo0ZBr9ejrq4OMTExjzyrI5b9zzLLEnmWIOb+E1q/sbGx8PX1xaBBg5CVlYXU1FRMmDABI0aMgF6vh0ajwbZt23i1be3atYiLi8ODBw/w9NNPIzo6mlcOy2ue9f2D6pdbFut6y8jIgFwuh5OTE6qrqxETEwOlUgmlUgm1Wg2tVoslS5aYlZWcnIxJkybB0dERarUa8fHxCAwMhI+PDwwGA3799VezFyV8++234e7uDjs7O7z//vs4efIkcnJyEBYWBn9/f9y6dQv79u0z+zg7EnrNt2NZFxIu36nIZDJD+0xPoVivPvfUU08xy2K56iRrly9f7u0mWJxMJkNRUZHEArnM6pc1lqvQmfucuDlYrzopxonK7VitOmmJ+hVz7bYPyFg4c+YMsyzWq07yfby4J5988gmzLIDtqpMSieS8wWDoNmNU1BMcCSGEENL7aLBACCGEEJNosEAIIYQQk2iwQAghhBCTmD0NwRWryUTtWE6YFPKseFdCXz7SFcuJcCwnxRBhjhw5wixLyKNfXfF9t/3v+fTTT5llsZ7AxupxyAcPHjDJeVx4e3szy2I5wbHrK6KF8vf3Z5bF+t7L8vfC76FPFgghhBBiEg0WCCGEEGISDRYIIYQQYhINFgghhBBiEg0WCCGEEGIS08HC8ePH4e3tDQ8PD8THx4siq6amBrNnz8ZLL72EgIAA7Nq1i3NGamoqNBoN1Gq1cVtMTAxqampQXFyM4uJizJw506ys1atXQ6lUYseOHcZtEyZMwGeffYZ//vOfcHd359y+dpGRkRgxYgSTV+qyPJeWyLMEMdZvXV0doqOjjf9FRETg22+/5ZSRmJiIiooK/Pjjj8Zt0dHRKC0thUqlgkql4v2KaJZ95ufnh5UrV0KhUMDPz09Q1gsvvIAFCxZgwYIFmDp1Kvr27cs7q7W1FbNmzcKrr76K4OBgbN++XVDbLEUs9bt06VLs2LGj06vCZTIZPvroI6SkpHBebKyn+y8AREVFoby8HKWlpdiyZcsjz+qIxXXaEctzyer3ArPBgk6nw5o1a3Ds2DGUlZUhMzMTZWVlvZ4llUrxySef4KeffsKpU6ewZ88eVFRUcMpIS0vDjBkzum3fsWMHxo0bh3HjxuHYsWNmZalUqm7rpf/666/YunUr72NsFxYWhuzsbEEZANv+t0SeJYi1fp955hls3boVW7duRXx8PKytrTk/wpWZmYn58+d3275r1y7I5XLI5XJ8//33nNvG8jidnZ3h6+uLvXv3IiUlBZ6enhg8eDCvLDs7O4wZMwaHDh3CgQMHIJFI4OHhwSsLeLjuzMGDB3Hq1CmcOHECKpUK58+f551nCWKq3zNnznT6xxAA1NbW4vPPP+e1tk1P91+5XI7Q0FCMHTsWPj4+Zg/gWGZ1xOI6bcf6fsnq9wKzwcK5c+fg4eEBNzc3WFtbY+HChbwbyDJr2LBh8PX1BfBwfXEvLy9cu3aNU0ZeXh6zZ3bLysq6rXFeW1uLuro6wdmBgYFMnj1n2f+WyLMEsdZvR2q1GkOHDoWzszOn/fLz83Hr1i3Bf39XLI/T0dERdXV1aGtrM67+J+T5/T59+kAqlUIikUAqleLu3bu8syQSCezs7AAAbW1taGtrg0TCfJ0zQcRUv5cvX+7W39euXYNGo+HVnp7uv6tWrUJ8fDy0Wi0AoL6+/pFn/R6+12k71vcPVr8XmA0WamtrMXz4cOPPrq6uqK2t7fWsjq5evQq1Ws1s5buoqCiUlJQgNTUVgwYNYpIpBqz731Lnk6XHoX7Pnj2LSZMmCc5pt2LFCuMy6XxeksbyOOvr6zF8+HDY2tpCKpXC3d0dAwYM4JV19+5dXLx4EWFhYViyZAm0Wi1qamp4ZbXT6XSYNm0axo4di6CgILz44ouC8lh7HOqXJS8vLwQFBaGgoAAqlQoyWbdFEnslCxB+nYq1/5+YCY7Nzc0IDw9HXFwc75tQR7t27YK7uzt8fX1x7do1/P3vf2fQSkJ61tbWhvPnzyMgIIBJ3t69ezF+/HhMnjwZGo2m21djj1pjYyPy8/OxaNEiLFq0CBqNBgaDgVeWtbU1Ro0ahS+//BLp6emwsrKCp6enoPb17dsXJ0+eRGFhIS5evMj5q0zCllQqhYODAwICArB582YcPHhQFFmsr1MxYTZYcHFxQXV1tfHnmpoauLi49HoW8PD1q+Hh4XjrrbeYvdL1xo0b0Ov1MBgMSElJYfoq0N7Guv9Z51mCmOsXAIqLizFq1Chmn2DV19cb6zc9PZ3Xv5RZH2dJSQmUSiX27duH1tZW3l/9ubq64s6dO2htbYVer0dVVRWGDRvGu10dDRw4EBMnToRKpWKSx4rY65e1mpoaZGVlAQAKCwuh1+vh5OTU61ksrlOx9j+zwYKfnx8qKytx5coVaLVa7N+/n/cvZpZZBoMBUVFR8PLyQlRUFK+MnnS8+bzxxhsoLS1llt3bWPa/JfIsQaz12+7MmTOYOHGioIyOhg4davzzrFmzeK0nwfo4+/XrBwAYMGAAvL29eV9Tzc3NGDp0KKTSh0vfuLq6Cpqz0djYaFx7pqWlBXl5eYImTFqC2OuXtcOHD2PKlCkAAE9PT1hbW6OhoaHXs1hcp2Ltf2YLSUmlUiQlJWH69OnQ6XRYtmwZRo8e3etZBQUFOHDgAJ5//nkEBgYCAD788ENMmzbN7IyMjAzI5XI4OTmhuroaMTExkMvl8PX1hcFgwC+//ILIyEizstavX4/Ro0fD3t4eycnJOHDgAJqamrBixQoMGDAA7733Hn755RdeHwuHh4cjLy8PDQ0NcHd3xwcffICIiAjOOSz73xJ5liDW+gUePrqnVquhUCh47Z+cnIxJkybB0dERarUa8fHxCAwMhI+Pj3Ey4caNGznnsj7OuXPnwtbWFnq9HidOnMD9+/d55dy4cQNVVVWYN28eDAYD6uvrBc0m12g0WL9+PXQ6HQwGA2bPns37UVNLEVP9KhQKeHt7o3///ti2bRuys7Nx9+5dLF68GPb29li3bh2qq6u7PTHxe3q6/yqVSiiVSqjVami1WixZsuSRZ3Ul9Dptx/q6YvV7QcLle0GZTGYoKiri/Jc8CixXnWQ5WZH1qpNfffUVsyyxrjopk8lQVFTEfLq5mOtXyPekXa1atYpZVmNjI7Ms4MlYdfK1115DSUkJ0/oVc+0uX76cWZZSqWSWxdqBAweYZfX0KLMQLFedtLW1PW8wGLrN8nxiJjgSQgghhB8aLBBCCCHEJBosEEIIIcQkGiwQQgghxCRmT0P0Nj5voPs9LS0tzLJYz5pmmcdnPQBTxDph0hJYTzZbsGABsyw+TzY8Ku+//z6zrH//+9/MsgAwe5bdysqKSc7jIjU1lVnWO++8wyzr4sWLzLIAttcoa6wnTPaEPlkghBBCiEk0WCCEEEKISTRYIIQQQohJNFgghBBCiEk0WCCEEEKISUwHC8ePH4e3tzc8PDwQHx//h8yKjIzEiBEjMH78eF77v/vuuzh69CjS09ON21avXo2vvvoKaWlpiIuLQ//+/R95VldCj7MrlufAUli2MSQkBAsXLsTixYsRHh7Oad/U1FRoNBqo1epO26OiolBeXo7S0lJs2bLF7Lz58+cjNjYWmzZtMm6ztbWFQqHAO++8A4VCAVtbW05tbCekz1gfZ0fNzc2IjY1FREQEli5dikuXLvHKafek1a9YswBAp9Nhzpw5Zq/H83vq6uoQHR1t/C8iIgLffvut2ftbqn6FtqsrVv3PbLCg0+mwZs0aHDt2DGVlZcjMzOS9eItYswAgLCwM2dnZvPf/7rvvuj3aVlhYiPDwcERERKC6uhphYWGPPKsrocfZEetzYAmWaOPu3buRkZHRaTBnjrS0NMyYMaPTNrlcjtDQUIwdOxY+Pj7Yvn272XlFRUVISUnptC04OBiVlZXYsmULKisrERwczKmNgPA+Y32cHSUlJcHPzw9paWlITk7Gn/70J145wJNXv2LNapeeng53d3dBGQDwzDPPYOvWrdi6dSvi4+NhbW0Nf39/s/e3VP0KbVdHLPuf2WDh3Llz8PDwgJubG6ytrbFw4ULev2zEmgUAgYGBghawKSkpwZ07dzptKywshE6nAwBcunQJzs7OjzyrK6HH2RHrc2AJYmpjXl4ebt682WnbqlWrEB8fD61WCwCor683O6+qqgr37t3rtG306NHGd0UUFRXxWtVOaJ+xPs52zc3NUKvVeO211wA8fO8B30/YAHHVxu8R6z2Tdd9dv34dKpUK8+bN453RE7VajaFDh3K6X1qqfoW2qyOW/c9ssFBbW4vhw4cbf3Z1dUVtbe0fKutRmDVrFgoKCkSXJcTjcA5Yt1EikSAqKgphYWHIysoS3D4vLy8EBQWhoKAAKpUKMlm3ReE4sbe3R1NTEwCgqakJ9vb2nDMscV5ZHOf169cxcOBAbN26FZGRkdi+fbugF609afUr1iwAiIuLw+bNm9GnD9vpdmfPnsWkSZME57C+ToW2i2X/0wRHEQkPD4dOp8PJkydFlUW4S0lJwZdffomdO3fi0KFDuHDhgqA8qVQKBwcHBAQEYPPmzUyXtAYALkvVWxKL49TpdKisrERISAi++OIL2NjYYP/+/RZoLXmUTp8+DQcHB/j4+DDNbWtrw/nz5xEQECA4i+V1yrJdLDAbLLi4uKC6utr4c01NDe/Xp4o1y5JmzpyJiRMn4m9/+5uoslh4HM4B6zYOGTIEAODg4AC5XC54gl1NTY3xE4rCwkLo9Xo4OTnxzuv4aYK9vT2am5s5Z1jivLI4TmdnZzg7O+O5554DALz88suorKzk3aYnrX7FmnXhwgXk5OQgODgYGzZsQEFBQadJu3wVFxdj1KhRGDRokOAsltcpi3ax7H9mgwU/Pz9UVlbiypUr0Gq12L9/P0JCQv5QWZby0ksvYfHixfjf//1f3L9/XzRZrDwO54BlG1taWnD37l3jnwsKCgRPyDp8+DCmTJkCAPD09IS1tTUaGhp455WVlRk/IpXJZLwGM5Y4ryyO08HBAc7OzsabZHFxsaAJjk9a/Yo1a+PGjcjNzUVOTg4SEhIQEBDAewJsR2fOnMHEiRMF5wBsr1MW7WLZ/8wWkpJKpUhKSsL06dOh0+mwbNkyXpOmxJwFPPx4Py8vDw0NDXB3d8cHH3yAiIgIs/ePjY2Fr68vBg0ahKysLKSmpiIsLAxWVlbYsWMHgIcTE825CFhmsT7OjlifA0tg2cbGxkZER0cDePhR4owZMzhd9BkZGZDL5XByckJ1dTViYmKgVCqhVCqhVquh1WqxZMkSs/PefvttuLu7w87ODu+//z5OnjyJnJwchIWFwd/fH7du3cK+ffs4H6fQPmN9nB2tXbsWcXFxePDgAZ5++mnj+eDjSatfsWZZQmtrK9RqNRQKBed9LVm/QtrVEcv+l3D5rlImkxlYr7YnRq2trcyyWK86yZJYV52UyWQoKiqSMAnrnMusfllfB35+fsyyWK46yeJfbh1JJOxOK+tVJ/k8PtoTS9Tvk3LvvXz5MrMsMa86eeDAAWZZANtVJyUSyXmDwdBtZiZNcCSEEEKISTRYIIQQQohJNFgghBBCiEk0WCCEEEKISTRYIIQQQohJzB6d/CNhNasfYP/EwZo1a5hl/f3vf2eWBQB//etfmeaJ2YABA5jmsVqHA2B7XsXwuvDfw+rZePLH5Ovr29tN+F1CXhLWW+iTBUIIIYSYRIMFQgghhJhEgwVCCCGEmESDBUIIIYSYRIMFQgghhJjEdLBw/PhxeHt7w8PDA/Hx8X/ILJZ5kZGRGDFiBMaPH887Y+nSpdixYwc++ugj4zY7Ozts2LABcXFx2LBhA/r168c519/fHwqFAitXrsScOXPQt29f3m0E2J8DS2DdRp1Ohzlz5iAyMpLTfomJiaioqMCPP/5o3BYdHY3S0lKoVCqoVCpOa46kpqZCo9FArVZ32h4VFYXy8nKUlpZiy5YtZmW9++67OHr0KNLT043bVqxYgbS0NOzduxcJCQlwdHR85O3qisW11dGTVr9izQL4X1essyxZv35+fli5ciUUCoXgdWNY9T+zwYJOp8OaNWtw7NgxlJWVITMzE2VlZX+oLNZ5YWFhyM7O5t0W4OEypu0rTLabOXMmysvL8d5776G8vByvvfYap0x7e3v4+flBqVQiJSUFEolE0EpxrM+BJViijenp6byWps7MzOxxYZhdu3ZBLpdDLpdzeiQ3LS0NM2bM6LRNLpcjNDQUY8eOhY+Pj9kLRn333XfdFqrKyMhAREQEli5dirNnz2Lp0qWPvF1dsbi22j1p9SvWrHZ8ryvWWZaqX2dnZ/j6+mLv3r1ISUmBp6cnBg8ezKuNLPuf2WDh3Llz8PDwgJubG6ytrbFw4ULeF6tYs1jnBQYGCn6+/vLly7h7926nbePGjcPZs2cBAGfPnsW4ceM45/bp0wdSqRQSiQRWVlZoamri3UbW58ASWLfx+vXrUKlUmDdvHud98/PzcevWLd5/d1d5eXm4efNmp22rVq1CfHw8tFotAKC+vt6srJKSEty5c6fTtnv37hn/bGNjA3NXsmXZrq5YXFvtnrT6FWsWIOy6Yp1lqfp1dHREXV0d2traYDAY8Ouvv8Lb25tXG1n2P7PBQm1tLYYPH2782dXVFbW1tX+oLEvkWcKAAQNw+/ZtAMDt27c5v0CoqakJBQUFWLt2LdatW4f79+/jypUrvNvzOPQZ6zbGxcVh8+bN6NOH3Td9K1asQG5uLhITEzFw4EBBWV5eXggKCkJBQQFUKhVksm4r0nKiUCjw9ddfY9q0aUhNTRVNu1h40upXrFkA2+vKEtcoi/qtr6/H8OHDYWtrC6lUCnd3d94vgWPZ/zTB8Qlg7r/02tnY2MDLywuff/45EhMTYWVlBR8fHwu17o/n9OnTcHBwYNpne/fuxfjx4zF58mRoNBp8/PHHgvKkUikcHBwQEBCAzZs34+DBg4LykpOTMXfuXJw8eRJvvvmmaNpF/jhYXleWuEYBNvXb2NiI/Px8LFq0CIsWLYJGo+F8D7cEZoMFFxcXVFdXG3+uqamBi4vLHyrLEnmWcOfOHeO/PAcOHMj5K4SRI0fit99+w71796DX6/Hzzz/D1dWVd3sehz5j2cYLFy4gJycHwcHB2LBhAwoKCrBp0yZB7auvr4der4fBYEB6ejpefPFFQXk1NTXIysoCABQWFkKv18PJyUlQJgCcOnUKcrlcdO0S4kmrX7FmsbyuLHGNAuzqt6SkBEqlEvv27UNra2u3rzvMxbL/mQ0W/Pz8UFlZiStXrkCr1WL//v0ICQn5Q2VZIs8SLl68aHxv/sSJE1FcXMxp/zt37sDFxQVS6cOlQ0aOHImGhgbe7Xkc+oxlGzdu3Ijc3Fzk5OQgISEBAQEBvCfqtRs6dKjxz7NmzUJ5ebmgvMOHD2PKlCkAAE9PT1hbW/M+xx0HkoGBgbh69aoo2sXKk1a/Ys1ieV1Z4hoF2NVv+xNsAwYMgLe3N0pLS3m1h2X/M1tISiqVIikpCdOnT4dOp8OyZct4z6AXaxbrvPDwcOTl5aGhoQHu7u744IMPEBERwSlDoVDA29sb/fv3x7Zt25CdnY3vvvsOq1atQlBQEBobG7F7925OmXV1daioqMDy5cuh1+uh0Wg4Dzg6Yn0OLEFMbUxOTsakSZPg6OgItVqN+Ph4BAYGwsfHxzjhqesTCaZkZGRALpfDyckJ1dXViImJgVKphFKphFqthlarxZIlS8zKio2Nha+vLwYNGoSsrCykpqZiwoQJGDFihLFWtm3b9sjb1RWLa6udmGrj94j1nvk49B1flqzfuXPnwtbWFnq9HidOnMD9+/d55bDsfwmX70JkMpmhqKiI11/0pGptbWWax3LVSTc3N2ZZALtVJ2UyGYqKiiRMwjrnMqvfy5cvM8lpN2HCBGZZfD+y7MmkSZOYZQEPH/VlpaWlhVkWwG61WUvU75Ny72V9XbHE94mEnnzyySfMsgC2K/5KJJLzBoOh28xMmuBICCGEEJNosEAIIYQQk2iwQAghhBCTaLBACCGEEJOYPQ3R2z799FNmWW+99RazrK6vxhXq8OHDzLLMfYc/6c7Ly4tpXmNjI7MsltdCQkICsywAnJ7i+G9YTUgkwrCceMn3TYU9effdd5llscbyd8yjQp8sEEIIIcQkGiwQQgghxCQaLBBCCCHEJBosEEIIIcQkGiwQQgghxCSmg4Xjx4/D29sbHh4eiI+PF02Wv78/FAoFVq5ciTlz5qBv376C8nQ6HebMmYPIyEhBOQAQEhKChQsXYvHixQgPD+e8f2JiIioqKvDjjz92+/+tXr0ajY2NcHBw4JwbGBiITZs2YdOmTQgKCuK8f1csz6eliLV+WWb5+flh5cqVUCgU8PPz47x/T/UWHR2N0tJSqFQqqFQqTJ061ays+fPnIzY2ttNqf7a2tlAoFHjnnXegUChga2vLuY0A+3qj+uVP6D2uKyH339WrV0OpVGLHjh3GbeHh4UhMTERCQgKio6ONizj9N6mpqdBoNFCr1Z22R0VFoby8HKWlpdiyZQvnNrZj9XuG1blkNljQ6XRYs2YNjh07hrKyMmRmZqKsrKzXs+zt7eHn5welUomUlBRIJBLBC5mkp6fD3d1dUEZHu3fvRkZGBtLT0znvm5mZifnz53fb/swzz2DKlCmdlic117BhwxAQEICdO3ciISEBzz33HBwdHTnntGN5Pi1FrPXLMsvZ2Rm+vr7Yu3cvUlJS4OnpicGDB3PK+L1627VrF+RyOeRyOb7//nuzsoqKipCSktJpW3BwMCorK7FlyxZUVlYiODiYU/sA9vVG9Sv8eIXc47oScv9VqVT4+OOPO20rKSnBX/7yF2zYsAF1dXV48803zcpKS0vDjBkzOm2Ty+UIDQ3F2LFj4ePjI2glSxa/Z1ieS2aDhXPnzsHDwwNubm6wtrbGwoULkZ2d3etZANCnTx9IpVJIJBJYWVmhqamJd9b169ehUqkwb9483hks5efn49atW922f/rpp4iNjQWXhcLaDRkyBFevXsWDBw+g1+tRVVWFMWPG8G4j6/NpCWKtX5ZZjo6OqKurQ1tbm3H1Sq6L4/xevfFRVVWFe/fuddo2evRo43P7RUVFvAb2rOuN6lc8xyv0/ltWVobm5uZO20pKSqDX6wE8XMjK3H8Y5eXldVu0bdWqVYiPj4dWqwUA1NfX82onq98zLM8ls8FCbW0thg8fbvzZ1dUVtbW1vZ7V1NSEgoICrF27FuvWrcP9+/dx5coVXlkAEBcXh82bN6NPHzZdJ5FIEBUVhbCwMGRlZTHJnDlzJq5du4ZLly7x2v/69etwc3NDv379YGVlhWeffRaDBg3i3R6W59NSxFq/LLPq6+sxfPhw2NraQiqVwt3dndlLcFasWIHc3FwkJiZi4MCBvHPs7e2Ng/mmpibY29tzzmBdb1S/wo6X5T2O9f23q1deeQXFxcW89/fy8kJQUBAKCgqgUqkgk3VbvNEsrI6T5bn8w7zB8ffY2NjAy8sLn3/+OVpbW/Hmm2/Cx8cHpaWlnLNOnz4NBwcH+Pj44KeffmLSvpSUFAwZMgQ3b95EVFQURo4ciRdffJF3nq2tLdavX4+5c+fyzrhx4wZOnz4NhUIBrVaLuro648ibPL4aGxuRn5+PRYsW4cGDB9BoNLw+eepq79692L59OwwGA9577z18/PHH+J//+R8GLQaT9pHexeoeZ4n7b0dz586FTqdDbm4u7wypVAoHBwcEBATAz88PBw8ehJubG6cMSx8nX8wGCy4uLp2+H6+pqYGLi0uvZ40cORK//fab8ePOn3/+Ga6urrwGCxcuXEBOTg5yc3Nx//59NDc3Y9OmTYK+lxoyZAgAwMHBAXK5HJcuXRI0WBg5ciRGjBhhLPhnnnkGp0+fxquvvoobN26YnXPu3DmcO3cOwMNPKm7fvs27TSzPp6WItX5Z911JSQlKSkoAPPx+VchXcu06ftSanp6OzMxM3lntnya0/9+uHxmbg3WfUf0KO15W9zhL3H/bTZkyBePHj0dsbKygnJqaGuOnJ4WFhdDr9XByckJDQ4PZGSyPk+W5ZPZZjp+fHyorK3HlyhVotVrs378fISEhvZ51584duLi4QCp9OC4aOXIkpxPX0caNG5Gbm4ucnBwkJCQgICBAUKG2tLTg7t27xj8XFBQIntBSXl6OZ599FuPGjcO4ceNQV1eHKVOmcBooAED//v0BAIMGDcKYMWNw4cIF3m1ieT4tRaz1y7rv2md6DxgwAN7e3rwGzV0NHTrU+OdZs2ahvLycd1ZZWZnxo1uZTMbrqzTWfUb1yz+L5T2O9f23na+vL0JDQzvNNeDr8OHDmDJlCgDA09MT1tbWnH/fsDxOlueS2ScLUqkUSUlJmD59OnQ6HZYtW8b7qQOWWXV1daioqMDy5cuh1+uh0WgEfSfFUmNjI6KjowEAbW1tmDFjBiZOnMgpIzk5GZMmTYKjoyPUajXi4+Px1VdfCW5beHg47OzsoNPpkJWVhdbWVt5ZLM+npYi1fln33dy5c2Frawu9Xo8TJ07g/v37nPbvqd4CAwPh4+NjnDRp7mJRb7/9Ntzd3WFnZ4f3338fJ0+eRE5ODsLCwuDv749bt25h3759nI+RdZ9R/fLPYnGPY2n9+vUYPXo07O3tkZycjAMHDuCNN96AlZUVPvzwQwAPJzkmJyf/16yMjAzI5XI4OTmhuroaMTExUCqVUCqVUKvV0Gq1WLJkiaUPySSW51LC5TtBmUxmYLnCGEtPyqqT06dPZ5bFetVJFqN84OG/KIuKiiRMwjrnirZ+WRLzqpMsa45VvbFmifoVc+0+KatOspqADjz8OpwllqvgSiSS8waDodvMTHqDIyGEEEJMosECIYQQQkyiwQIhhBBCTKLBAiGEEEJMosECIYQQQkz6w7zB0dPTk1nW7NmzmWWx9iTMJifCREVFMct6//33mWUBgEKhYJpHet+JEyd6uwk9Yvn0AgCzHwk2B8unFx4V+mSBEEIIISbRYIEQQgghJtFggRBCCCEm0WCBEEIIISYxHSwcP34c3t7e8PDwQHx8vGiy6urqEB0dbfwvIiIC3377rdn7x8XFIT8/H998841x27p163DkyBFkZ2dDqVQaV1Z7lFldBQYGYtOmTdi0aROCgoJ4ZbRj2f+WyLMEsdYvy6yamhrMnj0bL730EgICArBr1y5O+6empkKj0UCtVnfaHhUVhfLycpSWlmLLli2826fT6TBnzhxERkbyzgCofsVUc35+fli5ciUUCgX8/Px6NYtl/c6fPx+xsbHYtGmTcZutrS0UCgXeeecdKBQK2Nracm4jIM5zyWywoNPpsGbNGhw7dgxlZWXIzMxEWVlZr2cBD5dp3rp1K7Zu3Yr4+HhYW1vD39/f7P2zsrKwfPnyTtv27NmDkJAQhIaG4vTp01izZs0jz+po2LBhCAgIwM6dO5GQkIDnnnsOjo6OnHMA9v3POs8SxFq/rPtOKpXik08+wU8//YRTp05hz549qKioMHv/tLQ0zJgxo9M2uVyO0NBQjB07Fj4+PoKesklPTxe88irVr3hqztnZGb6+vti7dy9SUlLg6emJwYMH91oWy/otKipCSkpKp23BwcGorKzEli1bUFlZieDgYE7tA8R7LpkNFs6dOwcPDw+4ubnB2toaCxcuRHZ2dq9ndaVWqzF06FA4OzubvU9RURFu377daVv7sqvAw2V/zV2Qi2VWR0OGDMHVq1fx4MED6PV6VFVVYcyYMZxzAPb9b8nzyYpY65d13w0bNgy+vr4AAHt7e3h5eeHatWtm75+Xl4ebN2922rZq1apOy/vW19fzatv169ehUqkwb948Xvu3o/oVT805Ojqirq4ObW1txlVJvb29ey2LZf1WVVXh3r17nbaNHj3auLBWUVERrxUexXoumQ0WamtrMXz4cOPPrq6uqK2t7fWsrs6ePYtJkyYxyVq/fj1++OEHvP7669i5c2evZl2/fh1ubm7o168frKys8Oyzz2LQoEG82sK6/y15PlkRa/1asu+uXr0KtVqN8ePHC8rx8vJCUFAQCgoKoFKpIJN1W7DOLHFxcdi8eTP69BF2W6L6FU/N1dfXY/jw4bC1tYVUKoW7uzvvlSVZZnXEqn6BhwPwpqYmAEBTUxPs7e05Z4j1XD5RExzb2tpw/vx5BAQEMMnbsWMHJk+ejKNHjyIsLKxXs27cuIHTp09DoVBg5cqVqKurg16vF9Qm8sfV3NyM8PBwxMXFCb7hSqVSODg4ICAgAJs3b8bBgwc5Z5w+fRoODg7w8fER1BYiLo2NjcjPz8eiRYuwaNEiaDQaXp+css7qiEX9/h4W7RMLZoMFFxcXVFdXG3+uqamBi4tLr2d1VFxcjFGjRvH+F/fvOXLkCKZNm9brWefOncNnn32Gf/zjH2hpaUFDQwOvHNb9b6nzyZJY69cSfffgwQOEh4fjrbfeQkhIiKCs9ja1vy2vsLAQer0eTk5OnDIuXLiAnJwcBAcHY8OGDSgoKOg0cYwLql9x1VxJSQmUSiX27duH1tbWbl8D9FZWOxb1267jpwn29vZobm7mnCHWc8lssODn54fKykpcuXIFWq0W+/fv530jYpnV0ZkzZzBx4kTBOQDwpz/9yfjnqVOnoqqqqtez+vfvDwAYNGgQxowZgwsXLvDKYd3/ljqfLIm1fln3ncFgQFRUFLy8vJi9Fvrw4cOYMmUKgIevXbe2tuY8UN24cSNyc3ORk5ODhIQEBAQE8J4oSfUrrprr168fAGDAgAHw9vZGaWmpKLLasajfdmVlZcavMWQyGS5dusQ5Q6znktnaEFKpFElJSZg+fTp0Oh2WLVvGa3IH66x2ra2tUKvVvN5Nn5CQAH9/fwwePBi5ublITEzE5MmTMWrUKOj1etTV1SEmJuaRZ3UVHh4OOzs76HQ6ZGVlobW1lVcO6/63xPlkTaz1y7rvCgoKcODAATz//PMIDAwEAHz44Ydmf5qVkZEBuVwOJycnVFdXIyYmBkqlEkqlEmq1GlqtFkuWLOHdPhaofsVVc3PnzoWtrS30ej1OnDiB+/fv91oWy/p9++234e7uDjs7O7z//vs4efIkcnJyEBYWBn9/f9y6dQv79u3jfIxiPZcSLt+pyGQyQ/tMT7Fh+T0T68VzWGL5LxqxLiQlk8lQVFQksUCuaOuXpa5P2wjB+iu7n3/+mVmWWBfjsUT9irl2P/30095uQo9Y38dZLiQl1nsvAEgkkvMGg6HbLM8naoIjIYQQQrijwQIhhBBCTKLBAiGEEEJMosECIYQQQkyiwQIhhBBCTOL0NIREIqkHcNVyzSEEAPAng8Fg/uIdZqL6JY8I8/ql2iWPUI/1y2mwQAghhJAnD30NQQghhBCTaLBACCGEEJNosEAIIYQQk2iwQAghhBCTaLBACCGEEJNosEAIIYQQk2iwQAghhBCTaLBACCGEEJNosEAIIYQQk2iwQAghhBCTaLBACCGEEJNosEAIIYQQk6Rc/sdOTk6GkSNHWqgp4vGf//yHWdaDBw+YZQHAs88+yzRPjH755Rc0NDRIWOeKuX5v3brFLKutrY1ZVmNjI7MsALh79y6zrL59+zLLAoCxY8cyybl69Srz+hVz7V67do1ZFst6Gzp0KLMsAHBycmKWJZEwv70xc/78+YaeVp3kNFgYOXIkioqK2LVKpObOncssS6PRMMsCgB9//JFpnhjJZDKL5Iq5fg8ePMgsi+UN96uvvmKWBQBnzpxhljVw4EBmWQC7tk2aNIlJTkdirt1PP/2UWdb//d//Mctav349sywAWLp0KbMsGxsbZlmsSSSSHpdCp68hCCGEEGISDRYIIYQQYhINFgghhBBiEg0WCCGEEGIS08HC8ePH4e3tDQ8PD8THx/9hslavXg2lUokdO3YYt4WHhyMxMREJCQmIjo5Gv379zMp69913cfToUaSnpxu3rVixAmlpadi7dy8SEhLg6OjIuY2AuPrM0nmWIMb+q6urQ3R0tPG/iIgIfPvtt4La9sILL2DBggVYsGABpk6dyumpApb1m5qaCo1GA7Va3Wl7VFQUysvLUVpaii1btpjdtsTERFRUVHSaBBwdHY3S0lKoVCqoVCpMnTrV7Lx2kZGRGDFiBMaPH89530dJjPULAH5+fli5ciUUCgX8/Pw47x8XF4f8/Hx888033f5/y5Ytw+XLlzF48GBebRNyLXTEukbEeC6ZDRZ0Oh3WrFmDY8eOoaysDJmZmSgrK/tDZKlUKnz88cedtpWUlOAvf/kLNmzYgLq6Orz55ptmZX333XfYuHFjp20ZGRmIiIjA0qVLcfbsWV6zbsXWZ5bMswSx9t8zzzyDrVu3YuvWrYiPj4e1tTX8/f15ZQGAnZ0dxowZg0OHDuHAgQOQSCTw8PAwe3+W9ZuWloYZM2Z02iaXyxEaGoqxY8fCx8cH27dvN7ttmZmZmD9/frftu3btglwuh1wux/fff292XruwsDBkZ2dz3u9REmv9Ojs7w9fXF3v37kVKSgo8PT05/2LPysrC8uXLu20fNmwYJk2ahNraWl5tE3otdMSyRsR6LpkNFs6dOwcPDw+4ubnB2toaCxcu5N15YssqKytDc3Nzp20lJSXQ6/UAgMuXL5v9r6mSkhLcuXOn07Z79+4Z/2xjYwODwcCpfYD4+sySeZYg5v5rp1arMXToUDg7d3sEmpM+ffpAKpVCIpFAKpVyevcBy/rNy8vDzZs3O21btWoV4uPjodVqAQD19fVmty0/P5/p+yraBQYGwsHBgXkuS2KtX0dHR9TV1aGtrQ0GgwG//vorvL29OWUUFRXh9u3b3ba/99572LZtG6/7ZTsh10JHLGtErOeS2WChtrYWw4cPN/7s6urKe8Qn1qzf88orr6C4uFhQhkKhwNdff41p06YhNTWV8/5i7rNHcQ6EEnP/tTt79qzgZ/jv3r2LixcvIiwsDEuWLIFWq0VNTY3gtgmt33ZeXl4ICgpCQUEBVCoVk3durFixArm5uUhMTGT+bgaxEGv91tfXY/jw4bC1tYVUKoW7uzsGDBjAK6ujV155BRqNBhUVFbwzLHUtCCXWc0kTHAWaO3cudDodcnNzBeUkJydj7ty5OHnypNlfaZAnR1tbG86fP4+AgABBOdbW1hg1ahS+/PJLpKenw8rKCp6enoLbx6p+pVIpHBwcEBAQgM2bNwt+WdXevXsxfvx4TJ48GRqNptvXicSyGhsbkZ+fj0WLFmHRokXQaDSCPgkAHn569ec//xk7d+4UlGOpa+GPitlgwcXFBdXV1cafa2pq4OLi8ofK6mrKlCkYP348PvvsMyZ5AHDq1CnI5XLO+4m5zyx5DlgRc/8BQHFxMUaNGoVBgwYJynF1dcWdO3fQ2toKvV6PqqoqDBs2TFBmR3zrt11NTQ2ysrIAAIWFhdDr9YJes1tfXw+9Xg+DwYD09HS8+OKLvLPETMz1W1JSAqVSiX379qG1tbXbV09cjRgxAq6urjhy5AhycnIwbNgw/Otf/+JcJ5a+FvgS67lkNljw8/NDZWUlrly5Aq1Wi/379yMkJOQPldWRr68vQkNDO32/yperq6vxz4GBgbh6tce3bZok5j6z1DlgScz9Bzx8FfHEiRMFZQBAc3Mzhg4dCqn04ZveXV1dBX/Pz6J+2x0+fBhTpkwBAHh6esLa2hoNDQ288zquDzBr1iyUl5fzzhIzMddv+5NiAwYMgLe3N0pLS3lnAQ/niE2YMAHBwcEIDg7G9evX8cYbb3CuE0tcCyyI9VxyWhvCZJBUiqSkJEyfPh06nQ7Lli3D6NGj/xBZ69evx+jRo2Fvb4/k5GQcOHAAb7zxBqysrPDhhx8CeFjAycnJ/zUrNjYWvr6+GDRoELKyspCamooJEyZgxIgR0Ov10Gg02LZtW68cpyWyLJFnCWLuv9bWVqjVaigUCt4Z7W7cuIGqqirMmzcPBoMB9fX1nGZHs6zfjIwMyOVyODk5obq6GjExMVAqlVAqlVCr1dBqtViyZInZbUtOTsakSZPg6OgItVqN+Ph4BAYGwsfHxzi5ruuTHOYIDw9HXl4eGhoa4O7ujg8++AARERGccyxJzPU7d+5c2NraQq/X48SJE7h//z6n/RMSEuDv74/Bgwcb554cOnSId3vaCb0WOmJZI2I9lxIu3x/JZDKDWBczYYkWkupdMpkMRUVFzJdlE3P90kJS3LF+QoHVpNtJkybh/PnzTOtXzLVLC0lxJ/KFpM4bDIZuM4tpgiMhhBBCTKLBAiGEEEJMosECIYQQQkxiNsGxt7H8Pq/90S0W/vGPfzDLIsQcfNcW6YlSqWSWBcCsScDmunLlCrMsgN33yBIJ8+k2onbhwoXebkKPOq7lwwKfV4X/nq+//ppZ1qNCnywQQgghxCQaLBBCCCHEJBosEEIIIcQkGiwQQgghxCQaLBBCCCHEJBosEEIIIcQkpoOF48ePw9vbGx4eHoiPjxdNFgCEhIRg4cKFWLx4McLDwzntm5qaCo1GA7Va3Wl7VFQUysvLUVpaii1btvBq1wsvvIAFCxZgwYIFmDp1Kvr27csrBxB3/7POswQx9l9dXR2io6ON/0VERODbb78VTR4A6HQ6zJkzB5GRkZz2mz9/PmJjY7Fp0ybjNltbWygUCrzzzjtQKBSwtbU1O2/16tVQKpWdHpkLDw9HYmIiEhISEB0dbVzUiCuqX/OxPg9xcXHIz8/HN9980+3/t2zZMly+fBmDBw9+5FmPS72xymI2WNDpdFizZg2OHTuGsrIyZGZm8l6Ug2VWR7t370ZGRgbS09M57ZeWloYZM2Z02iaXyxEaGoqxY8fCx8cH27dv59weOzs7jBkzBocOHcKBAwcgkUjg4eHBOQcQd/9b6nyyJNb+e+aZZ7B161Zs3boV8fHxsLa2hr+/P68sS+QBQHp6Otzd3TnvV1RUhJSUlE7bgoODUVlZiS1btqCyshLBwcFm56lUKnz88cedtpWUlOAvf/kLNmzYgLq6Orz55puc20n1yy2L9XnIysrC8uXLu20fNmwYJk2axGlND5ZZj0O9scxiNlg4d+4cPDw84ObmBmtrayxcuBDZ2dm9nsVCXl5etzXYV61a1Wl56vr6el7Zffr0gVQqhUQigVQqxd27d3nliLn/xXY+eyLm/munVqsxdOhQODs7C85ilXf9+nWoVCrMmzeP875VVVW4d+9ep22jR482vmCtqKiI0wp5ZWVlaG5u7rStpKQEer0ewMOVYfm8sIrql1sW6/NQVFSE27dvd9v+3nvvYdu2beCyGCLLrMeh3lhmMRss1NbWYvjw4cafXV1dea/ixjKrnUQiQVRUFMLCwpi8odHLywtBQUEoKCiASqWCTNZtka7/6u7du7h48SLCwsKwZMkSaLVa1NTU8GqPmPvfEueTNTH3X7uzZ89i0qRJgnNY5sXFxWHz5s3o04fNrcTe3h5NTU0AgKamJtjb2zPJBYBXXnkFxcXFnPej+mV7vHzPQ9cMjUaDiooKJu1hldU1t7frjWXWH+Z1z/9NSkoKhgwZgps3byIqKgojR47Eiy++yDtPKpXCwcEBAQEB8PPzw8GDB+Hm5sYpw9raGqNGjcKXX34JrVaLadOmwdPTE5WVlbzbRf6Y2tracP78eSxatEg0eadPn4aDgwN8fHzw008/MWlXV1z+pWfK3LlzodPpkJubyySP8MPiPNjY2ODPf/4zkyWjWWZ19EesN2afLLi4uKC6utr4c01NDVxcXHo9q92QIUMAAA4ODpDL5bh06ZKgvJqaGuMnFIWFhdDr9XBycuKU4erqijt37qC1tRV6vR5VVVUYNmwYr/aIuf8tcT5ZE3P/AUBxcTFGjRqFQYMGCcphmXfhwgXk5OQgODgYGzZsQEFBQafJinx0/DTB3t6+28e8fEyZMgXjx4/HZ599xmt/ql82xyv0PLQbMWIEXF1dceTIEeTk5GDYsGH417/+xfn+yzqrnZjqjWUWs8GCn58fKisrceXKFWi1Wuzfvx8hISG9ngUALS0txrkALS0tKCgo4DUhq6PDhw9jypQpAABPT09YW1ujoaGBU0ZzczOGDh0KqfThBzyurq64desWr/aIuf9Z51mCmPsPAM6cOYOJEycKymCdt3HjRuTm5iInJwcJCQkICAjgNdG3o7KyMuNXejKZTPCg3tfXF6GhoZ3mF3FF9Sv8eFmch3aXL1/GhAkTEBwcjODgYFy/fh1vvPEG5/sv6yxAfPXGMovZ1xBSqRRJSUmYPn06dDodli1bxmlykqWyAKCxsRHR0dEAHn78OmPGDE43yoyMDMjlcjg5OaG6uhoxMTFQKpVQKpVQq9XQarVYsmQJ53bduHEDVVVVmDdvHgwGA+rr63nPVBVz/7POswQx919rayvUajUUCgXvDEvm8fX222/D3d0ddnZ2eP/993Hy5Enk5OQgLCwM/v7+uHXrFvbt22d23vr16zF69GjY29sjOTkZBw4cwBtvvAErKyt8+OGHAB7+cuC68iXVL7cs1uchISEB/v7+GDx4MHJzc5GYmIhDhw7xOjaWWY9DvbHMknD5TlAmkxlYLgXNEst2+fn5MctivUT1qlWrmOaJkUwmQ1FREfN1fsVcvwcPHuztJvTI19eXaZ6Yl6hmtWywJepXzLU7d+5cZlld32UjJmPGjGGWJeYlqiUSyXmDwdBtxj69wZEQQgghJtFggRBCCCEm0WCBEEIIISbRYIEQQgghJv1hXsr0l7/8pbeb0CNvb+/ebgJ5DMyfP7+3m9CjXbt2Mc0rKChglvX9998zyyL8CXm5XVejRo1iliX0Md6u+Ly6+fdcvnyZWRbw8I3ClkafLBBCCCHEJBosEEIIIcQkGiwQQgghxCQaLBBCCCHEJBosEEIIIcQkpoOF48ePw9vbGx4eHoiPj+/VrHfffRdHjx5Fenq6cduKFSuQlpaGvXv3IiEhwezZrampqdBoNN1eRRoVFYXy8nKUlpZiy5YtnNsIPFxMKjY2FhEREVi6dKmghXPE1P+WzrMEsfafmM/FCy+8gAULFmDBggWYOnUq+vbta/a+LK/RriIjIzFixAiMHz+e1/5dUf3y5+fnh5UrV0KhUPB6lf78+fMRGxvbaUVTW1tbKBQKvPPOO1AoFLC1teXVNiHHmZiYiIqKCvz444/GbdHR0SgtLYVKpYJKpcLUqVN5tQsAdDod5syZg8jISN4ZALtzyWywoNPpsGbNGhw7dgxlZWXIzMzkvSgSi6zvvvsOGzdu7LQtIyPD+Ev57NmzZq9hnpaWhhkzZnTaJpfLERoairFjx8LHx4f3YzpJSUnw8/NDWloakpOT8ac//YlXjtj635J5liDW/hPzubCzs8OYMWNw6NAhHDhwABKJBB4eHmbvz/Ia7SosLAzZ2dm89u2K6pd/lrOzM3x9fbF3716kpKTA09MTgwcP5pRRVFSElJSUTtuCg4NRWVmJLVu2oLKyEsHBwZzbJvQ4MzMze3zkedeuXZDL5ZDL5YIe701PTxe8OjLLc8lssHDu3Dl4eHjAzc0N1tbWWLhwIe+LlUVWSUkJ7ty502nbvXv3jH+2sbGBuYto5eXl4ebNm522rVq1qtMypPX19ZzaBzz8VEGtVuO1114DAFhZWaF///6ccwDx9b8l8yxBrP0n9nPRp08fSKVSSCQSSKVS41Lw5mB5jXYVGBgIBwcHXvt2RfXLP8vR0RF1dXVoa2uDwWDAr7/+yvndM1VVVZ3qAgBGjx5tXDywqKiI10qKQo8zPz8ft27d4vz3muP69etQqVSYN2+eoByW55LZYKG2thbDhw83/uzq6ora2tpez+pKoVDg66+/xrRp05Camso7x8vLC0FBQSgoKIBKpYJM1m2Rrv/q+vXrGDhwILZu3YrIyEhs374dLS0tvNoj5v635PlkRaz9J+ZzcffuXVy8eBFhYWFYsmQJtFotampqeLetHatrlBWqX/5Z9fX1GD58OGxtbSGVSuHu7o4BAwbwyurI3t4eTU1NAICmpibY29tzzrDUeV2xYoVx+euBAwfyyoiLi8PmzZvRp4+wX9Esj/GJm+CYnJyMuXPn4uTJk3jzzTd550ilUjg4OCAgIACbN2/mtcSwTqdDZWUlQkJC8MUXX8DGxgb79+/n3SZCHiVra2uMGjUKX375JdLT02FlZQVPT0/BuayuUdL7GhsbkZ+fj0WLFmHRokXQaDS8Py0yxRKZfOzduxfjx4/H5MmTodFo8PHHH3POOH36NBwcHODj42OBFvLHbLDg4uKC6upq4881NTVwcXHp9azfc+rUKcjlct7719TUICsrCwBQWFgIvV4PJycnThnOzs5wdnbGc889BwB4+eWXUVlZyas9Yu7/R3E+hRJr/4n5XLi6uuLOnTtobW2FXq9HVVUVhg0bxrttXQm9Rlmh+hV2vCUlJVAqldi3bx9aW1u7faXLR8dPE+zt7dHc3Mw5wxLntb6+Hnq9HgaDAenp6bxehX3hwgXk5OQgODgYGzZsQEFBQafJnVywPEZmgwU/Pz9UVlbiypUr0Gq12L9/P0JCQno9qyNXV1fjnwMDA3H16lXeWYcPH8aUKVMAAJ6enrC2tkZDQwOnDAcHBzg7OxtPZnFxMe8JjmLuf0udT5bE2n9iPhfNzc0YOnQopNKHS8y4uroK/g6X5TXKCtWvsOPt168fAGDAgAHw9vZGaWkp76x2ZWVlxq9+ZTIZr6fILHFehw4davzzrFmzUF5ezjlj48aNyM3NRU5ODhISEhAQEMB7Aj3LY2S2kJRUKkVSUhKmT58OnU6HZcuW8Zp0wiorNjYWvr6+GDRoELKyspCamooJEyZgxIgR0Ov10Gg02LZtm1lZGRkZkMvlcHJyQnV1NWJiYqBUKqFUKqFWq6HVarFkyRI+h4q1a9ciLi4ODx48wNNPP43o6GheOWLrf0vmWYJY+0/M5+LGjRuoqqrCvHnzYDAYUF9fz2mmNctrtKvw8HDk5eWhoaEB7u7u+OCDDxAREcEri+pX2PHOnTsXtra20Ov1OHHiBO7fv89p/7fffhvu7u6ws7PD+++/j5MnTyInJwdhYWHw9/fHrVu3sG/fPs7tEnqcycnJmDRpEhwdHaFWqxEfH4/AwED8/+3dfXxU1b3v8c+SIYI8h0SoBLxAHq4SJS9JMECoAyJwhAMqyoMtgSCGUtNaVNLjOS3wQssJ4IHKC8UGE3IjDQ9FDtRWnixOiUCEIOROBC5p4WDCwxhCKwaJIZN9/5hJOklgmtmzhgzm9369eJHZmf2dNXuvWbOy99p7xcbG1g/mbHy1z62mc18qX871xMfHG3UjUINNUlKStqz9+/dry/rTn/6kLQswdYnQ7SY+Pp7CwkIVgNygrb/BSvesk7/97W+1ZemedbJdu3ZacgJRf4O57v7qV7/SlqXz6oJgnnXy4MGD2rJA76yTSqkjhmE0GbHf6gY4CiGEEMI30lkQQgghhFfSWRBCCCGEV9JZEEIIIYRX2q6GaGlffvmltqxhw4Zpy2oNAxJbo1OnTmnN0z0QVpdf/OIXLV2Emzpw4IDWPPmsmmP2KpMb8bx01l9nzpzRlgV6BzjejuTIghBCCCG8ks6CEEIIIbySzoIQQgghvJLOghBCCCG8ks6CEEIIIbySzoIQQgghvNLaWdi5cycxMTFERkaSkZHRollLlizh4MGD/OEPf2jyu1mzZnHq1Cm6devWrKxXX32VDz74gNzc3Ppls2fPJicnh3Xr1rFixQrTl9UE0zYLVFYg8gJBdxmdTidPPPEEc+bM8SvnwQcfZMqUKUyZMoVRo0bRpk2bFstbtWoVJ0+e5JNPPqlflp6eTnFxMTabDZvNxqhRo255VmOVlZUsWrSImTNnkpKSYmpWQk+trf7qyqqqqmLcuHE89thjjBw50tR8DVlZWTgcDux2e4PlaWlpnDhxguLiYpYuXdqsrB//+MdkZ2ezcuXK+mXJycmsWrWKFStWkJ6eXj9L5j+j8zvmRnS1H7r2pbbOgtPp5IUXXmDHjh0cP36cDRs2+DQDne6srVu38txzzzVZ3rNnT4YNG8a5c+eanfXhhx82mT0sLy+vviE6cOAAKSkpPpUPgm+bBSIrEHmBEIgy5ubm0r9/f78yOnTowAMPPMCWLVvYtGkTSikiIyNbLG/Dhg1Mnjy5yfI1a9ZgtVqxWq3NnuBJZ1Zjq1evJiEhgZycHDIzM01P/Q6tr/7qzLrzzjvZvHkze/bsYdeuXdhsNo4cOeJTRk5ODmPHjm2wzGq1MnHiRAYOHEhsbGyzOyE2m43XXnutwbKioiJ+9rOf8dJLL3H+/HmeeuqpZmXp/I65ER3th859qa2zcOjQISIjI+nXrx8hISFMnTqV7du3t1hWYWEhX331VZPl//7v/87y5cvxZbbNoqIirly50mDZN998U/9zu3btfMqrE2zbLBBZgcgLBN1lvHjxIjabjaefftrvst1xxx1YLBaUUlgsFq5evdpieQcPHtQ2M6DOLE+VlZXY7XYef/xxANq2bUvHjh1N57W2+qszSylFhw4dAKipqaGmpgalfJuQMz8/n8uXLzdYNnfuXDIyMqiurgagvLy8WVnHjx+nsrKywbKioiJqa2sB183WmnuUWOd3TGO62g+d+1JbZ+HcuXP07t27/nFERITpnpXOLE+PPvooDoeDkydP+p0FkJqayvvvv8/o0aPJysryef1g3Wa6t3+g9qdOusu4ZMkS5s+fzx13+PcRu3r1KseOHWP69OnMmDGD6upqysrKgiavzuzZs9m3bx+rVq2iS5cuLZp18eJFunTpwrJly5gzZw5vvPEG165dM12e1lZ/db9fp9PJ6NGjGThwIMOHD+ehhx4ynVUnOjqa4cOHU1BQgM1mIz6+yYzKpjz66KMcPXrUr/V1fMfoaj907stWM8CxXbt2/OhHP+LNN9/UlpmZmcmkSZPYvXt3sw9die++jz/+mNDQUGJjY/3OCgkJoW/fvqxfv57c3Fzatm1LVFRU0OQBrFu3jkGDBvHII4/gcDiaHOa91VlOp5OSkhImTJjAb37zG9q1a8fGjRtNl0n4p02bNuzevZvDhw9z7NgxLX+sWSwWQkNDSUxMZP78+WzevNnvzEmTJuF0Otm3b5+p9XV9x+hsP3TS1lno1asXpaWl9Y/Lysro1atXi2fV6dOnDxEREfz+979n79699OzZk//+7/8mLCzMr1yAPXv2YLVafV4vWLeZ7u0fiP2pm84yfvbZZ+zdu5eRI0fy0ksvUVBQwCuvvGIqKyIigitXrlBVVUVtbS2nT5+mZ8+eprICkQeuQ8C1tbUYhkFubq5ffznqyAoPDyc8PJz77rsPgO9///uUlJSYLlNrq7+Ber9dunRh6NCh2Gw2v7PKysrYunUrAIcPH6a2ttavtnzEiBEMGjSIX//616YzdH3H6Gw/dO5LbZ2FhIQESkpKOHPmDNXV1WzcuJEJEya0eFadU6dOMWTIEEaOHMnIkSO5ePEiTz75JJcuXTKV5znhSVJSEmfPnvU5I1i3me7tH4j9qZvOMr788svs27ePvXv3smLFChITE02NAgfX+fcePXpgsbjmfIuIiPDrPL/uPIAePXrU/zxu3DhOnDjRolmhoaGEh4fXN5JHjx71a4Bja6u/OrMqKirqz+tfu3aN/Px8vwbo1tm2bRsjRowAICoqipCQENNteVxcHBMnTmwwBsIMXd8xOtsPnftS26yTFouF1atXM2bMGJxOJ7NmzWLAgAEtlrVixQoGDx5Mt27d6s9/btmyxVR5Fi1aRFxcHF27dmXr1q1kZWUxZMgQ+vTpQ21tLQ6Hg+XLl/ucG2zbLBBZgcgLhGAt45dffsnp06d5+umnMQyD8vJyv0bi+5uXmZnJsGHD6N69O3a7nYyMDJKSkoiNjcUwDL744osmVw7diqzGfvKTn7BkyRKuX7/O9773PdLT003lQPDWDU/B+vl3OBzMmzcPp9OJYRiMHz/e58th8/LysFqthIWFUVpaysKFC8nOziY7Oxu73U51dTUzZsxoVta8efMYMGAAnTp1IjMzk02bNvHkk0/Stm1bFixYALi+9DMzM/9pls7vmEDRuS+VLyM24+PjjcLCQlMvFGjR0dHasu6++25tWZ7XkIvmiY+Pp7Cw0Lch083L1VZ/ZYrqlve73/1Oa56uKaoDUX+Due3VOdhT5xTVuseRNb7Pgz9udG8Gf+j8/lNKHTEMo8mI0VYzwFEIIYQQ5khnQQghhBBeSWdBCCGEEF5pG+DY0ioqKrRlPfDAA9qydFz/62nMmDHasvy9eU5r5jlqXwed56O3bdumLeull17SlgXwzDPPaMvSeZ5WmOfvHUUDpe7SSl3+/ve/a8u6HdteObIghBBCCK+ksyCEEEIIr6SzIIQQQgivpLMghBBCCK+ksyCEEEIIr6SzIIQQQgivtHYWdu7cSUxMDJGRkWRkZLRo1qpVqzh58mSD2y2np6dTXFyMzWbDZrM1+x7lP/7xj8nOzmblypX1y5KTk1m1ahUrVqwgPT2du+66y+cynj9/nvT09Pp/M2fO5I9//KPPOeCaTWz8+PE8/PDDJCYmsmbNGlM5dXTuy0DkBYKuMvq7L1JSUli5ciWLFy+uXxYfH8/ixYtZu3atz5Mi6fwsNJaQkMDzzz9PamoqCQkJpjI8OZ1OnnjiCebMmeNXjtTflm1/G/Nnv2ZlZeFwOJrcbjktLY0TJ05QXFzM0qVLb3mWp2Buf3VlaessOJ1OXnjhBXbs2MHx48fZsGGD6QlvdGRt2LCByZMnN1m+Zs0arFYrVquVjz76qFlZNpuN1157rcGyoqIifvazn/HSSy9x/vx5U/chv+eee1i2bBnLli0jIyODkJAQBg8e7HMOuCYMef311/n000/Zs2cP7777rul543Xuy0DkBYLOMvq7L/bv39+gYwqu+++/9dZbpuak0PlZ8BQeHk5cXBzr1q1j7dq1REVF0a1bN59zPOXm5tK/f3+/MqT+tnz725g/+zUnJ4exY8c2WGa1Wpk4cSIDBw4kNja22bMy6szyFKztr84sbZ2FQ4cOERkZSb9+/QgJCWHq1Kls3769xbIOHjzo99S7dY4fP05lZWWDZUVFRdTW1gKuSYW6d+/u12vY7XZ69OhBeHi4qfV79uxJXFwcAJ06dSI6OpoLFy6YytK5LwORFwg6y+jvvjh16lSTG91cuHABh8Nhqjw6Pwueunfvzvnz56mpqamfJTImJsZ03sWLF7HZbDz99NN+lUvqb8u3v5783a/5+flcvny5wbK5c+c2mFK6vLz8lmd5Ctb2V2eWts7CuXPn6N27d/3jiIgI07OR6cxqbPbs2fXTieq6i9ajjz7K0aNH/co4cOAAw4YN01Kes2fPYrfbGTRokKn1dW//QO5PXQJVRn/3RSD5+1koLy+nd+/etG/fHovFQv/+/encubPp8ixZsoT58+dzxx3+NUtSf4Or/dW1Xz1FR0czfPhwCgoKsNlsxMc3mSSxRbIguNpfnVmtaoDjunXrGDRoEI888ggOh6PJqQUzJk2ahNPpZN++faYzampqOHLkCImJiX6Xp7KykuTkZJYsWeJXwy38F8z7QsdnoaKigoMHDzJt2jSmTZuGw+HAlynvPX388ceEhoYSGxtran0RnAK1Xy0WC6GhoSQmJjJ//ny/bquvMyuYP/P+0jY3RK9evSgtLa1/XFZWRq9evVo8y5Pn4aXc3Fw2bNjgV96IESMYNGgQixYt8ivn6NGj9O3bl65du/qVc/36dZKTk3nmmWeYMGGC6Rzd2z9Q+1Mn3WXUtS8CRddnoaioiKKiIsB17vfrr782lfPZZ5+xd+9e9u3bx7fffktlZSWvvPKKqfPHUn+Dp/3VuV89lZWV1c/9cPjwYWprawkLC+PSpUstlhWM7a/OLG1HFhISEigpKeHMmTNUV1ezceNG0xtMZ5Ynz8l/xo0bx4kTJ0xnxcXFMXHixAbnuszav38/Q4cO9SvDMAzS0tKIjo4mLS3Nryzd2z9Q+1MnnWXUuS8CRddnoe4qoM6dOxMTE0NxcbGpnJdffpl9+/axd+9eVqxYQWJioukvFKm/wdP+6tyvnrZt28aIESMAiIqKIiQkxFRHQVdWsLa/OrO0HVmwWCysXr2aMWPG4HQ6mTVrFgMGDGixrMzMTIYNG0b37t2x2+1kZGSQlJREbGxs/WCsl19+uVlZ8+bNY8CAAXTq1InMzEw2bdrEk08+Sdu2bVmwYAHgGpSWmZnp83utqqrCbreTmprq87qeCgoK2LRpE/fffz9JSUkALFiwgNGjR/ucpXNfBiIvEHSW0d99kZqaSkxMDB07dmT58uVs376dq1ev8uyzz9KpUydefPFFSktLm1wxcTM6PwuNTZo0ifbt21NbW8uuXbv49ttvTeXoJPW35dtfnfLy8rBarYSFhVFaWsrChQvJzs4mOzsbu91OdXU1M2bMuOVZnoK1/dWZpXw5xxgfH2/onEpXJ3+vRvBktVq1ZU2ZMkVbFrSOKarj4+MpLCxUAcjVVn+/+uorLTl1dE4FLVNUt6xA1N9gbnvNXM57M/5cTRNorWWKaqXUEcMwmozybFUDHIUQQgjhO+ksCCGEEMIr6SwIIYQQwivpLAghhBDCK21XQ7S0++67T1tW3TW3Opi9Re/N6BwwWVZWpi0LCLprzwNJ9wClrKwsbVnZ2dnasnQOqIXgHZTYmui++6TOQYlvv/22tqy//vWv2rLAdYmxLmYnDLyZWzFgUo4sCCGEEMIr6SwIIYQQwivpLAghhBDCK+ksCCGEEMIr6SwIIYQQwiutnYWdO3cSExNDZGQkGRkZLZr16quv8sEHH5Cbm1u/bPbs2eTk5LBu3TpWrFjR7FtEZ2Vl4XA4sNvtDZanpaVx4sQJiouLWbp06W1drsaqqqoYN24cjz32GCNHjvR78heddSNQgqn+6swKZD2ZMGECU6dO5dlnnyU5OdlURp1g2maBzgsEXWX097MfyPr24IMPMmXKFKZMmcKoUaNo06aNT+tPnjyZRYsW8corr9Qva9++Pampqfz85z8nNTWV9u3bNytLZ1vuqaysjPHjx/Pwww+TmJjImjVrfM7wpKteaOssOJ1OXnjhBXbs2MHx48fZsGEDx48fb7GsDz/8sMnkOHl5ecycOZOUlBQOHDhASkpKs7JycnIYO3Zsg2VWq5WJEycycOBAYmNjm/2BCtZyNXbnnXeyefNm9uzZw65du7DZbBw5csRUls66ESjBVn91ZgWyngC888475OXlNWg0fRVs2yyQeYGgs4z+fvYDVd86dOjAAw88wJYtW9i0aRNKKSIjI33KKCwsZO3atQ2WjRw5kpKSEpYuXUpJSQkjR45sVpbOttyTxWLh9ddf59NPP2XPnj28++67nDx50ucc0FsvtHUWDh06RGRkJP369SMkJISpU6eyffv2FssqKiriypUrDZZ988039T+3a9eO5k6ilZ+fz+XLlxssmzt3boPpqcvLy2/rcjWmlKJDhw4A1NTUUFNTg1Lm5sbRWTcCJdjqr86sQNYTXYJtmwUyLxB0ltHfz34g69sdd9yBxWJBKYXFYuHq1as+rX/69OkG7S3AgAEDqJukq7CwsNmzMupsyz317NmTuLg4ADp16kR0dDQXLlzwOQf01gttnYVz587Ru3fv+scRERGmb/6hM6ux1NRU3n//fUaPHu3XjXCio6MZPnw4BQUF2Gw24uObTNJ125fL6XQyevRoBg4cyPDhw3nooYdM5QRyf+oSrPU3UNtOVz1RSpGWlsb06dP9uplZMG+z1lZ/Qd9nv46O+nb16lWOHTvG9OnTmTFjBtXV1VpuLNepUye+/vprAL7++ms6derkV56uthzg7Nmz2O12Bg0aZGp9nfWi1Q1wzMzMZNKkSezevZunnnrKdI7FYiE0NJTExETmz5/P5s2bv3PlatOmDbt37+bw4cMcO3bM9KEwEXx01ZO1a9eyfv163nzzTbZs2cJnn32muaSiJej+7OuobyEhIfTt25f169eTm5tL27ZtiYqK8qtcN2LmaIAnXW15ZWUlycnJLFmyhM6dO/tVJh20dRZ69epFaWlp/eOysjLTt//VmXUze/bswWq1ml6/rKys/i+pw4cPU1tbS1hY2HeyXF26dGHo0KHYbDZT69+K/emvYK2/gdp2uurJ3XffDUBoaChWq5XPP//cVHmCeZu1tvrryd/Pvmd5/K1vERERXLlyhaqqKmprazl9+jQ9e/b0q1zQ8GhCp06dqKys9DsT/GvLr1+/TnJyMs888wwTJkwwXQad9UJbZyEhIYGSkhLOnDlDdXU1GzduNP0mdWZ5ioiIqP85KSmJs2fPms7atm0bI0aMACAqKoqQkBAuXbr0nSlXRUUFX331FQDXrl0jPz/f58FEdQK1P3UK1vobqG2no55cu3at/pzxtWvXKCgooH///qbKE8zbrLXVX52f/To66ltlZSU9evTAYnFNaRQREcHf/vY3v8oFcPz48frTIvHx8aY7vHVlqmO2LTcMg7S0NKKjo0lLSzNdFtBbL7RNJGWxWFi9ejVjxozB6XQya9asZg8UCUTWokWLiIuLo2vXrmzdupWsrCyGDBlCnz59qK2txeFwsHz58mZl5eXlYbVaCQsLo7S0lIULF5KdnU12djZ2u53q6mpmzJhxW5erMYfDwbx583A6nRiGwfjx4xk1apSpLJ11I1CCrf7qzApUPamoqCA9PR1wDYQbO3YsQ4cO9TkHgm+bBTIvEHSW0d/PfqDq25dffsnp06d5+umnMQyD8vJyn0f2/+AHP6B///506NCBX/ziF+zevZu9e/cyffp0Bg8ezN/+9jfee++9ZmXpbMs9FRQUsGnTJu6//36SkpIAWLBgAaNHj/Y5S2e9UL6cn4mPjzfqRo0Gm7qNqsP+/fu1ZQ0bNkxbFugtW7DOOhkfH09hYaG5Sy+85wZt/dXJ7FUrN3L48GFtWYDfA4FvB4Govzrrru7BmZ5/TfsrmGedLCgo0JYVzLNOKqWOGIbR5IPa6gY4CiGEEMI30lkQQgghhFfSWRBCCCGEV9JZEEIIIYRX2q6G8FXdpTm6/PSnP9WWpXMQYUxMjLYsgBMnTmjL+v3vf68tC1y3dBXm/OpXv9KW9ac//UlbVmxsrLYsERzMTG7kTWhoqLYsM3Mp3ExFRYW2LNA7kDMvL09bFtyatleOLAghhBDCK+ksCCGEEMIr6SwIIYQQwivpLAghhBDCK+ksCCGEEMIrrZ2FnTt3EhMTQ2RkJBkZGaZzysrKGD9+PA8//DCJiYmsWbPGr3KdP3+e9PT0+n8zZ8706XabWVlZOBwO7HZ7g+VpaWmcOHGC4uJili5d2qyslJQUVq5cyeLFi+uXxcfHs3jxYtauXcu9997b7HKtWrWKkydP8sknn9QvS09Pp7i4GJvNhs1mMz2fw4MPPsiUKVOYMmUKo0aNok2bNqZy6uiqG4Gks4w6sxISEnj++edJTU0lISHBryxwTcizaNEiZs6cSUpKiumJc+bMmUOfPn0YNGiQ32WC4N3+gcgLBF1l9He/BrJd0lnnqqqqGDduHI899hgjR47kjTfe8Gl9nd8Ljelsf3XVC22dBafTyQsvvMCOHTs4fvw4GzZs8HmSjzoWi4XXX3+dTz/9lD179vDuu+/6NZ/6Pffcw7Jly1i2bBkZGRmEhIQwePDgZq+fk5PD2LFjGyyzWq1MnDiRgQMHEhsb2+yKtn//flauXNlg2blz53jrrbc4depUs8sEsGHDBiZPntxk+Zo1a7BarVitVj766COfMgE6dOjAAw88wJYtW9i0aRNKKb9mndNZNwJFZxl1ZoWHhxMXF8e6detYu3YtUVFRdOvWzVRWndWrV5OQkEBOTg6ZmZk+dVA9TZ8+ne3bt/tVljrBuv0DkRcIOsvo734NVLuko2ye7rzzTjZv3syePXvYtWsXNpuNI0eONHt9nd8LnnS2vzrrhbbOwqFDh4iMjKRfv36EhIQwdepU0zu1Z8+exMXFAa75xaOjo7lw4YKWctrtdnr06EF4eHiz18nPz+fy5csNls2dO5eMjAyqq6sBKC8vb1bWqVOn6qf1rXPhwgUcDkezy1Pn4MGDWqZovZE77rgDi8WCUgqLxdKkzL7QWTcCRWcZdWZ1796d8+fPU1NTg2EYfPHFF37du6OyshK73c7jjz8OQNu2benYsaOprKSkJG3X2Afr9g9EXiDoLKO/+zWQ7ZLOOqeUokOHDoBr1tSamhqfJmHT+b3QmK72V2e90NZZOHfuHL17965/HBERoWV2s7Nnz2K327Ud6jxw4ICWmSCjo6MZPnw4BQUF2Gy2oJpNb/bs2ezbt49Vq1aZmo3s6tWrHDt2jOnTpzNjxgyqq6v9mqEyUHVDJ51l1JlVXl5O7969ad++PRaLhf79+9O5c2dTWQAXL16kS5cuLFu2jDlz5vDGG29w7do103m6BOv2D0ReINwOZfS3XQoEp9PJ6NGjGThwIMOHD+ehhx7yK0/H94LO9ldnvQjqAY6VlZUkJyezZMkSvxrIOjU1NRw5coTExES/sywWC6GhoSQmJjJ//nw2b97sd6YO69atY9CgQTzyyCM4HA5ee+01nzNCQkLo27cv69evJzc3l7Zt2xIVFRWA0op/pqKigoMHDzJt2jSmTZuGw+HAl2nlG3M6nZSUlDBhwgR+85vf0K5dOzZu3KixxEI0paNdCoQ2bdqwe/duDh8+zLFjx/w63Q16vheCtf3V1lno1asXpaWl9Y/Lysro1auX6bzr16+TnJzMM888w4QJE3QUkaNHj9K3b1+6du3qd1ZZWRlbt24F4PDhw9TW1hIWFuZ3rr/Ky8upra3FMAxyc3NN9ZQjIiK4cuUKVVVV1NbWcvr0aXr27Gm6TLrrRiDoLKPu91tUVER2djbvvfceVVVVTQ59+iI8PJzw8HDuu+8+AL7//e9TUlJiOk+XYN7+ra3+BoKOdimQunTpwtChQ7HZbH7l6Phe0Nn+6qwX2joLCQkJlJSUcObMGaqrq9m4caPpL3nDMEhLSyM6Opq0tDRdRWT//v0MHTpUS9a2bdsYMWIEAFFRUYSEhHDp0iUt2f7o0aNH/c/jxo0zNZdEZWUlPXr0wGJxTR0SERHh1zlInXUjUHSWUff7veuuuwDo3LkzMTExFBcXm84KDQ0lPDy8vgE5evSo6QGOOgXz9m9t9TcQdLRLulVUVNTPUXTt2jXy8/P9GsgNer4XdLa/OuuFtomkLBYLq1evZsyYMTidTmbNmsWAAQNMZRUUFLBp0ybuv/9+kpKSAFiwYAGjR482Xb6qqirsdjupqak+r5uXl4fVaiUsLIzS0lIWLlxIdnY22dnZ2O12qqurmTFjRrOyUlNTiYmJoWPHjixfvpzt27dz9epVnn32WTp16sSLL75IaWlpkysmbiQzM5Nhw4bRvXt37HY7GRkZJCUlERsbWz8Y7uWXX/b5/X755ZecPn2ap59+GsMwKC8v92v0t866ESg6y6j7/U6aNIn27dtTW1vLrl27+Pbbb01nAfzkJz9hyZIlXL9+ne9973ukp6ebyklOTiY/P59Lly7Rv39/fvnLXzJz5kxTWcG8/Vtb/fV3vwaqXdJRNk8Oh4N58+bhdDoxDIPx48f7dEmnzu8FTzrbX531Qvly/jM+Pt4oLCw09UKN6Z51cteuXdqypkyZoi1r1qxZ2rLA1XPV5fXXX9eWBfpmPouPj6ewsLD5w5Kbn6ut/uqmc9bJIUOGaMvSdSSuTrt27bTmBaNA1F+ddbeqqkpLTh2dpzt0DsoM5lkn3377bW1ZoHfWSaXUEcMwmozMDOoBjkIIIYRoedJZEEIIIYRX0lkQQgghhFfSWRBCCCGEV9JZEEIIIYRX2i6d9JXu233qvKZY51UCK1as0JYF8MQTT2jLCqbrsFu7HTt2aMsaM2aMtqzWcPVCa6N7n+psk9q3b68tS9ccEnV0XtnWvXt3bVm3ihxZEEIIIYRX0lkQQgghhFfSWRBCCCGEV9JZEEIIIYRX0lkQQgghhFdaOws7d+4kJiaGyMhIMjIygiZrzpw59OnTh0GDBvmVUychIYHnn3+e1NRUEhISfFp31apVnDx5kk8++aR+WXp6OsXFxdhsNmw2W7MnM0lJSWHlypUsXry4fll8fDyLFy9m7dq1fs0mWFVVxbhx43jssccYOXIkb7zxhuks0Ls/AyWY6u+rr77KBx98QG5ubv2y2bNnk5OTw7p161ixYoXpEdUTJkxg6tSpPPvssyQnJ5vKqBNM2yxQWYHIC4Rg2X6626WsrCwcDgd2u73B8rS0NE6cOEFxcTFLly5tVtbt0P6eP3+e9PT0+n8zZ87kj3/8o6ks0FcvtHUWnE4nL7zwAjt27OD48eNs2LDB9ExZOrMApk+fzvbt202v7yk8PJy4uDjWrVvH2rVriYqKolu3bs1ef8OGDUyePLnJ8jVr1mC1WrFarXz00UfNytq/f3+T2SnPnTvHW2+9xalTp5pdphu588472bx5M3v27GHXrl3YbDaOHDliKkv3/gyEYKu/H374YZOZ+fLy8pg5cyYpKSkcOHCAlJQUU+UDeOedd8jLy2vQGfFVsG2zQGQFIi8Qgmn76W6XcnJyGDt2bINlVquViRMnMnDgQGJjY5v9x8zt0P7ec889LFu2jGXLlpGRkUFISAiDBw82laWzXmjrLBw6dIjIyEj69etHSEgIU6dONf0FrTMLICkpSds1t927d+f8+fPU1NTUT7caExPT7PUPHjxoem7yxk6dOsXVq1cbLLtw4QIOh8PvbKUUHTp0AKCmpoaamhqUMjeRnu79GQjBVn+Lioq4cuVKg2XffPNN/c/t2rXDlxljAyHYtlkgsgKRFwjBtP10t0v5+flcvny5wbK5c+eSkZFBdXU1AOXl5c3Kul3a3zp2u50ePXoQHh5uan2d9UJbZ+HcuXP07t27/nFERITp6UZ1ZulWXl5O7969ad++PRaLhf79+9O5c2e/c2fPns2+fftYtWqV9htWmeV0Ohk9ejQDBw5k+PDhPPTQQ6Zygnl/1rld6m9qairvv/8+o0ePJisry1SGUoq0tDSmT5/O1q1bTZclWLeZ7u0v9Tf43m90dDTDhw+noKAAm81GfHyTGZV9EoztL8CBAwcYNmyY6fV17ksZ4OijiooKDh48yLRp05g2bRoOh8Pvv/DWrVvHoEGDeOSRR3A4HLz22muaSuufNm3asHv3bg4fPsyxY8c4efJkSxep1cvMzGTSpEns3r2bp556ylTG2rVrWb9+PW+++SZbtmzhs88+01xKIQLLYrEQGhpKYmIi8+fPZ/PmzaazgrX9ramp4ciRIyQmJrZ0UQCNnYVevXpRWlpa/7isrIxevXq1eFYgFBUVkZ2dzXvvvUdVVVWTQ2S+Ki8vp7a2FsMwyM3NNf0XfKB06dKFoUOHYrPZTK0f7PsTbr/6u2fPHqxWq6l17777bsB1O1yr1crnn39uKidYt5nu7S/1N/jeb1lZWf1RscOHD1NbW0tYWJiprGBtf48ePUrfvn3p2rWr6Qyd+1JbZyEhIYGSkhLOnDlDdXU1GzduND33gM6sQLjrrrsA6Ny5MzExMRQXF/uV16NHj/qfx40bx4kTJ/zK06GiooKvvvoKgGvXrpGfn09kZKSprGDfn3B71N+IiIj6n5OSkjh79qzPGdeuXas/z3rt2jUKCgro37+/qfIE6zbTvf2l/gbf+922bRsjRowAICoqipCQEC5dumQqKxjbX3ANoBw6dKhfGTr3pbaJpCwWC6tXr2bMmDE4nU5mzZrFgAEDWjwLIDk5mfz8fC5dukT//v355S9/ycyZM03nTZo0ifbt21NbW8uuXbv49ttvm71uZmYmw4YNo3v37tjtdjIyMkhKSiI2NrZ+wGTjUfA3k5qaSkxMDB07dmT58uVs376dq1ev8uyzz9KpUydefPFFSktLm4zYbQ6Hw8G8efNwOp0YhsH48eObfUlRY7r3ZyAEW/1dtGgRcXFxdO3ala1bt5KVlcWQIUPo06cPtbW1OBwOli9f7nPZKioqSE9PB1yHOceOHWu6QQq2bRaIrEDkBUIwbT/d7VJeXh5Wq5WwsDBKS0tZuHAh2dnZZGdnY7fbqa6uZsaMGc3Kul3a36qqKux2O6mpqT6v60lnvVC+nG+Pj483CgsLTb1QoFVVVWnL+q//+i9tWcE866Tn9cE66DpUGR8fT2FhoblLL7znBm39TUpK0pb161//WluWvwPHWqNA1N9grrvPPfectqzs7GxtWbpnndTZ9uqcGRa44eWgZimljhiG0eSDLwMchRBCCOGVdBaEEEII4ZV0FoQQQgjhlXQWhBBCCOGVTwMclVLlgO/Xawnhm3sNwzB3f1MvpP6KW0R7/ZW6K26hG9ZfnzoLQgghhGh95DSEEEIIIbySzoIQQgghvJLOghBCCCG8ks6CEEIIIbySzoIQQgghvJLOghBCCCG8ks6CEEIIIbySzoIQQgghvJLOghBCCCG8ks6CEEIIIbySzoIQQgghvJLOghBCCCG8ks6CEEIIIbySzoIQQgghvJLOghCAUuodpdQvdT9XB6XUD5RSu7383qqUKvMhb4dSaoae0t1aSilDKRVpYr0+SqlKpVQbP18/Ryn1uj8ZQtyOLC1dACECTSn1P0APoAZwAseBXCDTMIxaAMMwftTcPM/nKqWswHrDMCL0lbjJ6/0W+K3HaxpAlGEYfzGZ9y+6yuYLpdRMYLZhGEm3+rUNw/gC6HirX1eI7wo5siBai381DKMTcC+QAfwcyGrZIgkhxO1BOguiVTEM4yvDMH4PTAFmKKVioenhZaVUulLqglLqvFJqtufh77rnKqU6ADuAe9yHuCuVUvcopQYrpQqVUleUUg6l1IoblUUp9Wel1CT3z8PcrzHO/fhRpdQx988zlVKfuH/e5169yP16UzzyXlZKfekud8rNtoFSyqaUmu2RvV8ptVIp9Xel1Gml1FD38lJ33gyPdXPcp2H2KKW+dr+He92/+1/u92Bp/FpKqfuAd4Ah7nL/3f37O5VSbyilvnBvq3eUUu091p/vsR9medu37tf6T6XUIfe2366UCm1cNqVUqFKqTCn1r+7fdVRK/UUplex+/L/d7++yUur/KaUm3+T1wpRSf3Bvt8tKqXyllLSp4jtJKrZolQzDOASUAcMb/04pNRZ4CRgFRALWm2RcBf4FOG8YRkf3v/PAm8CbhmF0BvoDm29SjD97ZD8CnAa+7/H4zzd4zbrfD3S/3ib3455AF6AX8BzwllKq201et7GHgf8LdAfygI1AAq73/kNgtVLK8xD+D4DXgDDgGB6nSG7GMIwTwI+Ag+5yd3X/KgOIBuLcr9cLWAD1++EV4DEgCtf++GeSgVnA93Cddlp1g7Jcdj9nrVLqbmAlcMwwjFx3B3CPezvcDUwF3lZK3X+D13oZVx0Kx3Wa698BoxllFOK2I50F0ZqdB0JvsHwysM4wjM8Nw/gGWORj7nUgUikVZhhGpWEYBTd53p9xdQrA1Un4T4/HN+ws/JPXXGwYxnXDMD4EKoGYZq57xjCMdYZhOIFNQG931reGYewGqnF9kdf5o2EY+wzD+Bb4D1xHC3r7UFYAlFIKSAXmGYZx2TCMr4EluL6g4R/7odjdMVvUjNj3PJ7/S2DyjQY1ut/X74A/AY8Dc9y/Gg/8j3t71BiGcRR4H3jmBq91HVen5F73ds83DEM6C+I7SToLojXrBVy+wfJ7gFKPx6U3eI43z+H6a/mkUuqwUmr8TZ53EIhWSvXA9Zd1LtBbKRUGDAb23WS9G6kwDKPG4/E3NH9An8Pj52sAhmE0XuaZVb89DMOoxLUN7/GhrHXCgbuAI+5D+X8HdrqXQ9P9cLYZmY2f3xbXEZAbyQRigRzDMCrcy+4FHq4rj7tMP8B15Kax5cBfgN3u0zf/1ozyCXFbks6CaJWUUgm4Oguf3ODXFwDPqxu8/dXc5C9JwzBKDMOYhusw9lJgi/vwduPnfQMcAV4Eig3DqAYO4DoF8lfDMC418+3cavXbw316IhTXUZqr7sV3eTzX80u28ba6hKsjMsAwjK7uf10Mw6jrmFyg4bbv40vZ3M+/7n6dBtxHGzJxddB+rP5xOWYp8GeP8nR1nzaZ2zjDMIyvDcN42TCMfsAE4CWl1KPNKKMQtx3pLIhWRSnV2f2X/kZclzzab/C0zUCKUuo+pdRduA5n34wD6K6U6uLxGj9USoW7L8v8u3tx7U3W/zOQxj9OOdgaPb7Za/bz8vtAe1wplaSUCsE1dqHAMIxSwzDKgXPAD5VSbdwDEvt7rOcAItzr4d4+a4GV7rEDKKV6KaXGuJ+/GZiplLrfvR8WNqNsP/R4/mJgi/v0SmN14wtm4TpCkOvuQPwB19Ge6Uqptu5/Ce4Bmg0opcYrpSLdp1O+wnVZ7s32sxC3NeksiNbiA6XU17j+cvwPYAVwwysGDMPYgWtg3Me4DjPXjTn49gbPPQlsAE67D1vfA4wFPldKVeIa7DjVMIxrNynXn4FO/OOUQ+PHN7II+D/u17vhSP0Ay8P1xX0ZGIRrEGSd54H5QAUwANeRkjp7gc+Bi0qpur/2f457GyulrgAf4R5r4d4Pv3av9xf3///Me0AOcBFoB/y08ROUUoNwHb1JdnckluLqOPybe9zEaFzjJs67c5YCd97gtaLc5a3EdUrpbcMwPm5GGYW47SgZjyOEd+6/KouBOxuNC2h1lFI5QJlhGL9o6bI0ppSy4Tpa9G5Ll0WI7xo5siDEDSilnnTfA6Abrr8sP2jtHQUhROslnQUhbmwO8CXwV1znopsMcBNCiNZCTkMIIYQQwis5siCEEEIIr6SzIIQQQgivpLMghBBCCK+ksyCEEEIIr6SzIIQQQgiv/j/S2X9J44tNVgAAAABJRU5ErkJggg==\n"
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "new = np.empty_like(digits)\n",
    "for n in range(new.shape[0]):\n",
    "    new[n] = fill_missing(digits[n])\n",
    "\n",
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    "show_digits(digits, title=\"Digits with missing pixels\"), show_digits(new, title=\"Digits with imputed pixels\")"
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   ]
  },
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  {
   "cell_type": "code",
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   "execution_count": 61,
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   "id": "7008e16d-e5d8-45d2-aeef-4ab74f35c5eb",
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   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
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   "display_name": "Python 3 (ipykernel)",
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   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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   "version": "3.9.7"
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  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
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}