Wine_review_2018.ipynb

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   "metadata": {
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    "_uuid": "779ddcda3f755a4a1ea70e5dccea50e2a83db348"
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   "source": [
    "## WINE REVIEW USING NLP"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Author : Kiros Gebremariam                       Data Scientist**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Meta Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "a93da74a507bda41a36a2375f7dfeb993dd0734e"
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   "source": [
    "The wine review dataset contains 129970 wine reviews which include country, wine description, points, price, type of wine, reviewer's name, etc.. The points (ranged from 0 to 100) represents the taste of wine. Higher point indicates better taste. The aim is to build a predictive model and find out the better taste wine in each categories such as dry tasted wine, fluity tasted wine etc.."
   ]
  },
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   "cell_type": "markdown",
   "metadata": {
    "_uuid": "0ba90f9b207fb312fa1d3cf97b4469fc810a6060"
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   "source": [
    "## Data dictionary"
   ]
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    "_uuid": "980b36f68fc19b7d1830098c7967fce89b6ae351"
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   "source": [
    "Content The data consists of 10 fields:\n",
    "\n",
    "**Points:** the number of points WineEnthusiast rated the wine on a scale of 1-100 (though they say they only post reviews for wines that score >=80)\n",
    "\n",
    "**Title:** the title of the wine review, which often contains the vintage if you're interested in extracting that feature Variety: the type of grapes used to make the wine (ie Pinot Noir)\n",
    "\n",
    "**Description:** Sentences describing the wine's taste, smell, look, feel, etc.from a sommelier.\n",
    "\n",
    "**Country:** The country that the wine is produced \n",
    "**Province:** The specific place where the wine production factory is situated\n",
    "The province or state that the wine is from Region 1: the wine growing area in a province or state (ie Napa)\n",
    "\n",
    "**Region:** sometimes there are more specific regions specified within a wine growing area (ie Rutherford inside the Napa Valley), but region 2 this value can sometimes be blank and region 1 has significant amount of data\n",
    "\n",
    "**Winery:** the winery that made the wine Designation: the vineyard within the winery where the grapes that made the wine are from Price: the cost for a bottle of the wine\n",
    "\n",
    "**Taster Name:** name of the person who tasted and reviewed the wine Taster\n",
    "\n",
    "**Twitter Handle:** Twitter handle for the person who tasted and reviewed the wine Acknowledgements\n",
    "\n",
    "**Variety:** This is expalins the type of wine.\n",
    "\n",
    "The data was scraped from WineEnthusiast during the week of July 20th, 2018."
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Problem Statement"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following hypothesis will be come up with:\n",
    "\n",
    "1. Higher-priced wines will score 90+ points more often than lower-priced wines?\n",
    "2. Sweeter wine generally get higher points than dry tasted wine.\n",
    "3. How much do reviewer's comments accurate ? (Can we trust thier reviewer's comments when we select the wine."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Loading Necessary packages "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "_cell_guid": "0fd1e35d-7c7c-4c2d-bbfc-567adb388fbe",
    "_uuid": "a4e7ec0174e7e1b7548df2afb3d32691935ff651"
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   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/kirosgebremariam/anaconda3/envs/dsi/lib/python3.6/site-packages/statsmodels/compat/pandas.py:56: FutureWarning: The pandas.core.datetools module is deprecated and will be removed in a future version. Please use the pandas.tseries module instead.\n",
      "  from pandas.core import datetools\n",
      "/Users/kirosgebremariam/anaconda3/envs/dsi/lib/python3.6/site-packages/sklearn/utils/fixes.py:313: FutureWarning: numpy not_equal will not check object identity in the future. The comparison did not return the same result as suggested by the identity (`is`)) and will change.\n",
      "  _nan_object_mask = _nan_object_array != _nan_object_array\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from scipy import stats\n",
    "import seaborn as sns\n",
    "import statsmodels.api as sm\n",
    "from sklearn import linear_model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loading the common wine types"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "from __future__ import unicode_literals\n",
    "Image(filename='./wine-reviews/common-types-of-wine-by-wine-folly.jpg')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### loading the Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "_cell_guid": "e42d2b8a-7a5d-4e23-a683-7c77e0d4753d",
    "_uuid": "5375f0e37727529ee2f612d346f9462a85c362fa"
   },
   "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>country</th>\n",
       "      <th>description</th>\n",
       "      <th>designation</th>\n",
       "      <th>points</th>\n",
       "      <th>price</th>\n",
       "      <th>province</th>\n",
       "      <th>region_1</th>\n",
       "      <th>region_2</th>\n",
       "      <th>taster_name</th>\n",
       "      <th>taster_twitter_handle</th>\n",
       "      <th>title</th>\n",
       "      <th>variety</th>\n",
       "      <th>winery</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Italy</td>\n",
       "      <td>Aromas include tropical fruit, broom, brimston...</td>\n",
       "      <td>Vulkà Bianco</td>\n",
       "      <td>87</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sicily &amp; Sardinia</td>\n",
       "      <td>Etna</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Kerin O’Keefe</td>\n",
       "      <td>@kerinokeefe</td>\n",
       "      <td>Nicosia 2013 Vulkà Bianco  (Etna)</td>\n",
       "      <td>White Blend</td>\n",
       "      <td>Nicosia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Portugal</td>\n",
       "      <td>This is ripe and fruity, a wine that is smooth...</td>\n",
       "      <td>Avidagos</td>\n",
       "      <td>87</td>\n",
       "      <td>15.0</td>\n",
       "      <td>Douro</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Roger Voss</td>\n",
       "      <td>@vossroger</td>\n",
       "      <td>Quinta dos Avidagos 2011 Avidagos Red (Douro)</td>\n",
       "      <td>Portuguese Red</td>\n",
       "      <td>Quinta dos Avidagos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>US</td>\n",
       "      <td>Tart and snappy, the flavors of lime flesh and...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>87</td>\n",
       "      <td>14.0</td>\n",
       "      <td>Oregon</td>\n",
       "      <td>Willamette Valley</td>\n",
       "      <td>Willamette Valley</td>\n",
       "      <td>Paul Gregutt</td>\n",
       "      <td>@paulgwine</td>\n",
       "      <td>Rainstorm 2013 Pinot Gris (Willamette Valley)</td>\n",
       "      <td>Pinot Gris</td>\n",
       "      <td>Rainstorm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>US</td>\n",
       "      <td>Pineapple rind, lemon pith and orange blossom ...</td>\n",
       "      <td>Reserve Late Harvest</td>\n",
       "      <td>87</td>\n",
       "      <td>13.0</td>\n",
       "      <td>Michigan</td>\n",
       "      <td>Lake Michigan Shore</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Alexander Peartree</td>\n",
       "      <td>NaN</td>\n",
       "      <td>St. Julian 2013 Reserve Late Harvest Riesling ...</td>\n",
       "      <td>Riesling</td>\n",
       "      <td>St. Julian</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>US</td>\n",
       "      <td>Much like the regular bottling from 2012, this...</td>\n",
       "      <td>Vintner's Reserve Wild Child Block</td>\n",
       "      <td>87</td>\n",
       "      <td>65.0</td>\n",
       "      <td>Oregon</td>\n",
       "      <td>Willamette Valley</td>\n",
       "      <td>Willamette Valley</td>\n",
       "      <td>Paul Gregutt</td>\n",
       "      <td>@paulgwine</td>\n",
       "      <td>Sweet Cheeks 2012 Vintner's Reserve Wild Child...</td>\n",
       "      <td>Pinot Noir</td>\n",
       "      <td>Sweet Cheeks</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    country                                        description  \\\n",
       "0     Italy  Aromas include tropical fruit, broom, brimston...   \n",
       "1  Portugal  This is ripe and fruity, a wine that is smooth...   \n",
       "2        US  Tart and snappy, the flavors of lime flesh and...   \n",
       "3        US  Pineapple rind, lemon pith and orange blossom ...   \n",
       "4        US  Much like the regular bottling from 2012, this...   \n",
       "\n",
       "                          designation  points  price           province  \\\n",
       "0                        Vulkà Bianco      87    NaN  Sicily & Sardinia   \n",
       "1                            Avidagos      87   15.0              Douro   \n",
       "2                                 NaN      87   14.0             Oregon   \n",
       "3                Reserve Late Harvest      87   13.0           Michigan   \n",
       "4  Vintner's Reserve Wild Child Block      87   65.0             Oregon   \n",
       "\n",
       "              region_1           region_2         taster_name  \\\n",
       "0                 Etna                NaN       Kerin O’Keefe   \n",
       "1                  NaN                NaN          Roger Voss   \n",
       "2    Willamette Valley  Willamette Valley        Paul Gregutt   \n",
       "3  Lake Michigan Shore                NaN  Alexander Peartree   \n",
       "4    Willamette Valley  Willamette Valley        Paul Gregutt   \n",
       "\n",
       "  taster_twitter_handle                                              title  \\\n",
       "0          @kerinokeefe                  Nicosia 2013 Vulkà Bianco  (Etna)   \n",
       "1            @vossroger      Quinta dos Avidagos 2011 Avidagos Red (Douro)   \n",
       "2           @paulgwine       Rainstorm 2013 Pinot Gris (Willamette Valley)   \n",
       "3                   NaN  St. Julian 2013 Reserve Late Harvest Riesling ...   \n",
       "4           @paulgwine   Sweet Cheeks 2012 Vintner's Reserve Wild Child...   \n",
       "\n",
       "          variety               winery  \n",
       "0     White Blend              Nicosia  \n",
       "1  Portuguese Red  Quinta dos Avidagos  \n",
       "2      Pinot Gris            Rainstorm  \n",
       "3        Riesling           St. Julian  \n",
       "4      Pinot Noir         Sweet Cheeks  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#load in data\n",
    "df = pd.read_csv('./wine-reviews/winemag-data-130k-v2.csv')\n",
    "# see data contents\n",
    "df.drop(['Unnamed: 0'],axis =1, inplace =True)\n",
    "df.head()[:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "47835027-dde3-403c-b440-b97a094ec6f8",
    "_uuid": "542e7a4250b02eaf52b3e881c876216d17888881",
    "collapsed": true
   },
   "source": [
    "# Exploratory data analysis "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "_cell_guid": "43f919b5-c530-41bd-a418-1658cb561775",
    "_uuid": "a690dc675eb3024ff2a4de27652ad7798320efa6"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "================<Exploratory data analysis>==================================\n",
      "country                  120915\n",
      "description              120915\n",
      "designation               86148\n",
      "points                   120915\n",
      "price                    120915\n",
      "province                 120915\n",
      "region_1                 101400\n",
      "region_2                  50292\n",
      "taster_name               96420\n",
      "taster_twitter_handle     91500\n",
      "title                    120915\n",
      "variety                  120915\n",
      "winery                   120915\n",
      "dtype: int64\n",
      "===========================================================================\n"
     ]
    }
   ],
   "source": [
    "print(\"================<Exploratory data analysis>==================================\")\n",
    "# clean data (drop NaN in price, variety and country)\n",
    "\n",
    "df = df.dropna(subset=['price','country','variety'])\n",
    "print(df.count())\n",
    "print(\"===========================================================================\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "_cell_guid": "238e85b9-5c39-4b0a-a2d4-5b774e80cdf7",
    "_uuid": "26e9f20d9ef5d17c70e70e872aacfed665aac468"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "=========================<Check how many variety of wine are>===========================\n",
      "Pinot Noir                      12785\n",
      "Chardonnay                      11077\n",
      "Cabernet Sauvignon               9384\n",
      "Red Blend                        8466\n",
      "Bordeaux-style Red Blend         5340\n",
      "Riesling                         4971\n",
      "Sauvignon Blanc                  4780\n",
      "Syrah                            4086\n",
      "Rosé                             3261\n",
      "Merlot                           3061\n",
      "Zinfandel                        2708\n",
      "Malbec                           2593\n",
      "Sangiovese                       2377\n",
      "Nebbiolo                         2331\n",
      "Portuguese Red                   2196\n",
      "White Blend                      2167\n",
      "Sparkling Blend                  2027\n",
      "Tempranillo                      1788\n",
      "Rhône-style Red Blend            1404\n",
      "Pinot Gris                       1388\n",
      "Cabernet Franc                   1304\n",
      "Champagne Blend                  1211\n",
      "Grüner Veltliner                 1145\n",
      "Pinot Grigio                     1002\n",
      "Portuguese White                  986\n",
      "Viognier                          985\n",
      "Gewürztraminer                    955\n",
      "Gamay                             836\n",
      "Shiraz                            821\n",
      "Petite Sirah                      768\n",
      "                                ...  \n",
      "Favorita                            1\n",
      "Terrantez                           1\n",
      "Premsal                             1\n",
      "Thrapsathiri                        1\n",
      "Frankovka                           1\n",
      "Francisa                            1\n",
      "Sideritis                           1\n",
      "Tinto Velasco                       1\n",
      "Shiraz-Roussanne                    1\n",
      "Tinta Madeira                       1\n",
      "Silvaner-Traminer                   1\n",
      "País                                1\n",
      "Pinot Grigio-Sauvignon Blanc        1\n",
      "Tokay Pinot Gris                    1\n",
      "Torontel                            1\n",
      "Žilavka                             1\n",
      "Verdil                              1\n",
      "Karalahna                           1\n",
      "Syrah-Grenache-Viognier             1\n",
      "Biancolella                         1\n",
      "Morava                              1\n",
      "Loureiro-Arinto                     1\n",
      "Teroldego Rotaliano                 1\n",
      "Molinara                            1\n",
      "Valvin Muscat                       1\n",
      "Tinta Amarela                       1\n",
      "Merlot-Grenache                     1\n",
      "Schwartzriesling                    1\n",
      "Kuntra                              1\n",
      "Prunelard                           1\n",
      "Name: variety, Length: 691, dtype: int64\n",
      "=========================================================================================\n"
     ]
    }
   ],
   "source": [
    "print(\"=========================<Check how many variety of wine are>===========================\")\n",
    "print(df['variety'].value_counts())\n",
    "print(\"=========================================================================================\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "_cell_guid": "a1efc5c7-4300-47aa-9051-aaadcba667e5",
    "_uuid": "a50cfb1e1f97d735b72c7a4c2bf54287fb69095c"
   },
   "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>country</th>\n",
       "      <th>description</th>\n",
       "      <th>designation</th>\n",
       "      <th>points</th>\n",
       "      <th>price</th>\n",
       "      <th>province</th>\n",
       "      <th>region_1</th>\n",
       "      <th>region_2</th>\n",
       "      <th>taster_name</th>\n",
       "      <th>taster_twitter_handle</th>\n",
       "      <th>title</th>\n",
       "      <th>variety</th>\n",
       "      <th>winery</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Portugal</td>\n",
       "      <td>This is ripe and fruity, a wine that is smooth...</td>\n",
       "      <td>Avidagos</td>\n",
       "      <td>87</td>\n",
       "      <td>15.0</td>\n",
       "      <td>Douro</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Roger Voss</td>\n",
       "      <td>@vossroger</td>\n",
       "      <td>Quinta dos Avidagos 2011 Avidagos Red (Douro)</td>\n",
       "      <td>Portuguese Red</td>\n",
       "      <td>Quinta dos Avidagos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>US</td>\n",
       "      <td>Tart and snappy, the flavors of lime flesh and...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>87</td>\n",
       "      <td>14.0</td>\n",
       "      <td>Oregon</td>\n",
       "      <td>Willamette Valley</td>\n",
       "      <td>Willamette Valley</td>\n",
       "      <td>Paul Gregutt</td>\n",
       "      <td>@paulgwine</td>\n",
       "      <td>Rainstorm 2013 Pinot Gris (Willamette Valley)</td>\n",
       "      <td>Pinot Gris</td>\n",
       "      <td>Rainstorm</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>US</td>\n",
       "      <td>Pineapple rind, lemon pith and orange blossom ...</td>\n",
       "      <td>Reserve Late Harvest</td>\n",
       "      <td>87</td>\n",
       "      <td>13.0</td>\n",
       "      <td>Michigan</td>\n",
       "      <td>Lake Michigan Shore</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Alexander Peartree</td>\n",
       "      <td>NaN</td>\n",
       "      <td>St. Julian 2013 Reserve Late Harvest Riesling ...</td>\n",
       "      <td>Riesling</td>\n",
       "      <td>St. Julian</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>US</td>\n",
       "      <td>Much like the regular bottling from 2012, this...</td>\n",
       "      <td>Vintner's Reserve Wild Child Block</td>\n",
       "      <td>87</td>\n",
       "      <td>65.0</td>\n",
       "      <td>Oregon</td>\n",
       "      <td>Willamette Valley</td>\n",
       "      <td>Willamette Valley</td>\n",
       "      <td>Paul Gregutt</td>\n",
       "      <td>@paulgwine</td>\n",
       "      <td>Sweet Cheeks 2012 Vintner's Reserve Wild Child...</td>\n",
       "      <td>Pinot Noir</td>\n",
       "      <td>Sweet Cheeks</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>France</td>\n",
       "      <td>This has great depth of flavor with its fresh ...</td>\n",
       "      <td>Les Natures</td>\n",
       "      <td>87</td>\n",
       "      <td>27.0</td>\n",
       "      <td>Alsace</td>\n",
       "      <td>Alsace</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Roger Voss</td>\n",
       "      <td>@vossroger</td>\n",
       "      <td>Jean-Baptiste Adam 2012 Les Natures Pinot Gris...</td>\n",
       "      <td>Pinot Gris</td>\n",
       "      <td>Jean-Baptiste Adam</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    country                                        description  \\\n",
       "1  Portugal  This is ripe and fruity, a wine that is smooth...   \n",
       "2        US  Tart and snappy, the flavors of lime flesh and...   \n",
       "3        US  Pineapple rind, lemon pith and orange blossom ...   \n",
       "4        US  Much like the regular bottling from 2012, this...   \n",
       "9    France  This has great depth of flavor with its fresh ...   \n",
       "\n",
       "                          designation  points  price  province  \\\n",
       "1                            Avidagos      87   15.0     Douro   \n",
       "2                                 NaN      87   14.0    Oregon   \n",
       "3                Reserve Late Harvest      87   13.0  Michigan   \n",
       "4  Vintner's Reserve Wild Child Block      87   65.0    Oregon   \n",
       "9                         Les Natures      87   27.0    Alsace   \n",
       "\n",
       "              region_1           region_2         taster_name  \\\n",
       "1                  NaN                NaN          Roger Voss   \n",
       "2    Willamette Valley  Willamette Valley        Paul Gregutt   \n",
       "3  Lake Michigan Shore                NaN  Alexander Peartree   \n",
       "4    Willamette Valley  Willamette Valley        Paul Gregutt   \n",
       "9               Alsace                NaN          Roger Voss   \n",
       "\n",
       "  taster_twitter_handle                                              title  \\\n",
       "1            @vossroger      Quinta dos Avidagos 2011 Avidagos Red (Douro)   \n",
       "2           @paulgwine       Rainstorm 2013 Pinot Gris (Willamette Valley)   \n",
       "3                   NaN  St. Julian 2013 Reserve Late Harvest Riesling ...   \n",
       "4           @paulgwine   Sweet Cheeks 2012 Vintner's Reserve Wild Child...   \n",
       "9            @vossroger  Jean-Baptiste Adam 2012 Les Natures Pinot Gris...   \n",
       "\n",
       "          variety               winery  \n",
       "1  Portuguese Red  Quinta dos Avidagos  \n",
       "2      Pinot Gris            Rainstorm  \n",
       "3        Riesling           St. Julian  \n",
       "4      Pinot Noir         Sweet Cheeks  \n",
       "9      Pinot Gris   Jean-Baptiste Adam  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Since so many variety of wine available in this dataset, its important to only focus with top ones\n",
    "# Therefore, inorder to reduce the data i will use boolean method of filtering more than 1000 reviews  only ignoring\n",
    "# the types of wines with less than 1000 reviews and the basic reason is to compare across different countries and \n",
    "# to see the type of wines that have better customer review and feedbacks as the dataset contains many countries\n",
    "#  like US,Portugal,France,Australia, Germany,Argentina,Chile,Austria, NewZealand,Isreael and others\n",
    "# Therefore, after i filter them out i created a dataframe with dfg=dataframe group and \n",
    "# i printed the top five rows to see what the datalooks like after filtering.\n",
    "# As explianed above in the data dictionary the region_2 column or feature has very few information and may show NaN \n",
    "# some of the testers may not have twitter account and will show NaN\n",
    "dfg=df.groupby('variety').filter(lambda x: len(x) >1000) # New dataset\n",
    "#dfg = pd.DataFrame({col:vals['points'] for col,vals in variety.groupby('variety')})\n",
    "dfg.head()[:5]\n",
    "#print (dfg['variety'].value_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "_cell_guid": "02a3bfed-7aad-4f5e-a5ea-2aff1f079eb8",
    "_uuid": "522ba98756cbf2f14bb7323e86b0f5e7436dada5"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Pinot Noir                  12785\n",
       "Chardonnay                  11077\n",
       "Cabernet Sauvignon           9384\n",
       "Red Blend                    8466\n",
       "Bordeaux-style Red Blend     5340\n",
       "Riesling                     4971\n",
       "Sauvignon Blanc              4780\n",
       "Syrah                        4086\n",
       "Rosé                         3261\n",
       "Merlot                       3061\n",
       "Zinfandel                    2708\n",
       "Malbec                       2593\n",
       "Sangiovese                   2377\n",
       "Nebbiolo                     2331\n",
       "Portuguese Red               2196\n",
       "White Blend                  2167\n",
       "Sparkling Blend              2027\n",
       "Tempranillo                  1788\n",
       "Rhône-style Red Blend        1404\n",
       "Pinot Gris                   1388\n",
       "Cabernet Franc               1304\n",
       "Champagne Blend              1211\n",
       "Grüner Veltliner             1145\n",
       "Pinot Grigio                 1002\n",
       "Name: variety, dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfg['variety'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "_cell_guid": "3d036480-7c99-43a6-9977-3f34b217440e",
    "_uuid": "4cb996dc5e2c66955b5f6e65837c817287c46c39"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'price')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# To check my dataset looks like\n",
    "# plot data (price and points)\n",
    "fig, ax = plt.subplots(figsize = (20,10))\n",
    "x = dfg['points']\n",
    "y = dfg['price']\n",
    "\n",
    "plt.plot(x,y,'bo')\n",
    "plt.title('Distribution of Point Scores by price',size=14) \n",
    "plt.xlabel('points') \n",
    "plt.ylabel('price') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "_cell_guid": "bfcd6a86-06d9-4ff3-bdbe-a2944d646282",
    "_uuid": "549752e36ecd80d781820999c9fb838e278c66d8"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'price')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Above figure indicates that three over priced wines\n",
    "#Therefore, I remove those\n",
    "fig, ax = plt.subplots(figsize = (20,10))\n",
    "df1 = dfg.drop(dfg[dfg.price > 1000].index)\n",
    "x = df1['points']\n",
    "y = df1['price']\n",
    "plt.plot(x,y,'bo');\n",
    "plt.title('Distribution of Point Scores by price',size=14) \n",
    "plt.xlabel('points') \n",
    "plt.ylabel('price') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "_cell_guid": "b7d72421-8f4a-4190-8a52-1b3ce4d17443",
    "_uuid": "9b243f5db3e411ee2b795451dd5f3bf54da51ba8"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/kirosgebremariam/anaconda3/envs/dsi/lib/python3.6/site-packages/seaborn/categorical.py:454: FutureWarning: remove_na is deprecated and is a private function. Do not use.\n",
      "  box_data = remove_na(group_data)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16,\n",
       "        17, 18, 19, 20, 21, 22, 23]), <a list of 24 Text xticklabel objects>)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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NkHwK2dUkn7Z1L8kL2ZfH/fg48xjjr0k6LV4N/BvwEZILbF8z1W3ltI+JxgWSay1dQNL1ch/JmL4GeHWM8cdpnhtIiihXklw/6mnA62KMQ+nv5/3ARSTFp1eQfLz9mBdxjzHuISmWHEzyu7iOpLj0oXSVj5B01XyN5NPhDgVOHHWNqXIbSD7S/j6SjrfXxhh7y26/m6Q4NV3dS5AU+tpIxuJmkt/RVynr8iqZ6viM4Y0kb5LeQfK4LP27ZX+Cpx1Qv+XJ1yi6C/jVqKlplW5vkOST/AZJrpd0a7q98T798d9Iilx3ASek2+gj+Xl+FGP81aj1v0FS6LyPpDvt2Bjj7vS2s9NtfYmkAD0XeFUc/+L6kiRNm6bh4al26kuSJKmo0guXPwQsj8knCOaxz7uBb8YYL8pjf40ghLAV+HKM8aqy720AWmOMq2oWTJKkcThFTpIkaYYIIZxM0l1zfx7FpRDCbJILXP8xT0z50wRCCEeTXAPqxcCK2qaRJKlyFpgkSZJmjktI/v77i5z2dxjJp739mOQC3JrcqSSfIPfO9BPlJEkqBKfISZIkSZIkKRMv8i1JkiRJkqRMLDBJkiRJkiQpk4a8BtPOnXuc9ydJkiRJkjSNFi+e3zTebXYwSZIkSZIkKRMLTJIkSZIkScrEApMkSZIkSZIyscAkSZIkSZKkTCwwSZIkSZIkKRMLTJIkSZIkScrEApMkSZIkSZIyscAkSZIkSZKkTCwwSZIkSZIkKRMLTJIkSZIkScrEApMkSZIkSZIyscAkSZIkSZKkTCwwSZIkSZIkKRMLTJIkSZIkScrEApMkSZIkSZIyscAkSZIkSZKkTCwwSZIkSZIkKRMLTJIkSZIkScrEApMkSZIkSZIyscA0BZ2d2+ns3F7rGFJVFfk4L3J2qVIe5/lzzPO3ZcutbNlya61jTNmGDevZsGF9rWNIVVXUx6ek6mut5sZDCEcAl8YYjw4hPA/YAAwD24EzY4xDIYTzgdcC+4COGOO2Uds4CTgvvf3aGGPNnrU3b74JgKVLD6tVBKnqinycFzm7VCmP8/w55vnbvPnLAJxwwkk1TjI1W7d+C4A1a9bWOIlUPUV9fEqqvqp1MIUQ3gdcA8xJv3U58OEY40uBJuAvQgjLgJcDRwBvAj47ahsHAFcAr0rXe3sI4RnVyjyRzs7t7NjRyY4dnb6LqYZV5OO8yNmlSnmc588xz9+WLbfS17eXvr69heqS2LBhPUNDQwwNDdnFpIZV1MenpHxUc4rcL4AVZV+/GPhuurwFOBY4CvhmjHE4xvgroDWEsLjsPocCP48x7o4xPgbcDby0ipnHVXr3cvSy1EiKfJwXObtUKY/z/Dnm+St1R4xernel7qXRy1IjKerjU1I+qjZFLsb41RDCwWXfaooxDqfLe4CnAAuArrJ1St/fmX69AHhkjNsntHBhG62tLfuZfGyzZrU+aXnx4vnTun2pHhT5OC9ydqlSHuf5c8zz19zc9KTloo55UXNLE2mUx6ek6qjqNZhGGSpbng88DDyaLo/+fslkt49p9+69+59yHCeeuIKf/OQnI8s7d+6Z9n1ItVbk47zI2aVKeZznzzHP3+tffzI33HDdyHJRxvyYY47jjjtuH1kuSm5pKor6+JQ0fSYqLOf5KXI/DiEcnS6fANwFfB94dQihOYTwh0BzjHFX2X1+ChwSQlgUQpgFvAy4J8fMI5YuPYwlS5ayZMlSL/KphlXk47zI2aVKeZznzzHP3wknnMTcuW3MndtWqIsIr1mzlubmZpqbm73ItxpWUR+fkvKRZwfTOcD6tFD0U+ArMcbBEMJdJEWjZuBMgBDCSmBejPHzIYSzgdvT26+NMf4mx8xPsmLFKbXatZSbIh/nRc4uVcrjPH+Oef5WrHhjrSPsl2OOOa7WEaSqK+rjU1L1NQ0PD0++VsHs3Lmn8X4oSZIkSZKkGlq8eH7TeLflOUVOkiRJkiRJDcgCkyRJkiRJkjKxwCRJkiRJkqRMLDBJkiRJkiQpEwtMkiRJkiRJysQCkyRJkiRJkjKxwCRJkiRJkqRMLDBJkiRJkiQpEwtMkiRJkiRJysQCkyRJkiRJkjKxwCRJkiRJkqRMLDBJkiRJkiQpEwtMkiRJkiRJysQCkyRJkiRJkjKxwCRJkiRJkqRMLDBJkiRJkiQpEwtMU9DZuZ3Ozu21jiFV1YUXfogLL/xQrWPslw0b1rNhw/pax5hRtmy5lS1bbq11jBnFMc+fz/+qlMeKVN8uv/xSLr/80lrHkBpWa60DFMnmzTcBsHTpYTVOIlXPAw/EWkfYb1u3fguANWvW1jjJzLF585cBOOGEk2qcZOZwzPPn878q5bEi1bd77/1hrSNIDc0Opgp1dm5nx45Oduzo9J0pNazyzqWidTFt2LCeoaEhhoaG7GLKyZYtt9LXt5e+vr121OTEMc+fz/+qlMeKVN/KO5fsYpKqww6mCpXekSot+87UzLZp0/Vs23bPhOv09vYA0N4+b8L1li8/kpUrV09btizKu5eK1slU6l4qLdvFVH2lTprSsh011eeY58/nf1XKY0WNYDr/xoX6+ju3vHvJTiapOuxgkqpkYGCAgYGBWseQJEmSpo1/40oajx1MFVqx4hQuueSCkWXNbCtXrp703ZiOjjMAWLfuqjwiTYtDDgkjnUuHHBJqnGZqjjnmOO644/aRZVXfihVv5IYbrhtZVvU55vnz+V+V8lhRI2jUv3EBli07fKRzadmyw2ucRmpMdjBVaOnSw1iyZClLliy15VkN6/zzPzbmchGsWbOW5uZmmpubnR6XkxNOOIm5c9uYO7fNqVo5cczz5/O/KuWxItW3s88+d8xlSdPHDqYp8N0ozQRF61wqZ+dS/uyiyZ9jnj+f/1UpjxWpvtm5JFVX0/DwcK0zTLudO/c03g+lwilq+7AkSZI0Hv/GlWa2xYvnN413m1PkJEmSJEmSlIkFJkmSJEmSJGVigUmSJEmSJEmZWGCSJEmSJElSJhaYJEmSJEmSlIkFJkmSJEmSJGVigUmSJEmSJEmZWGCSJEmSJElSJhaYJEmSJEmSlIkFJkmSJEmSJGVigUmSJEmSJEmZWGCSJEmSJElSJhaYJEmSJEmSlIkFJkmSJEmSJGVigUmSJEmSJEmZWGCSJEmSJElSJhaYVNc6O7fT2bm91jEkjWPDhvVs2LC+1jFmFM+L+fM4V6Xe+c7TeOc7T6t1DEkNpsjP/T6HziyttQ4gTWTz5psAWLr0sBonkTSWrVu/BcCaNWtrnGTm8LyYP49zVerRRx+pdQRJDajIz/0+h84sdjCpbnV2bmfHjk527OgsbMVeamQbNqxnaGiIoaEh35nKiefF/Hmcq1LlnUt2MUmaLkV+7vc5dOaxg0l1q1SpLy0XsWJfbzZtup5t2+6ZcJ3e3h4A2tvnTbq95cuPZOXK1dOSbTLTmT3P3I2s9I5Uadl3pqrP82L+PM6nX6Oez8u7l+xkkvLXqOeWIj/3+xw689jBJOlJBgYGGBgYqHWM/VLk7JKkJ3g+l1QNnluk6rKDSXVrxYpTuOSSC0aWld3KlasnfTemo+MMANatuyqPSBUrcvZGdcwxx3HHHbePLKv6PC/mz+N8+jXq+XzBgqeMdC4tWPCUGqeRZp5GPbcU+bnf59CZxw4m1a2lSw9jyZKlLFmytFCtoNJMsWbNWpqbm2lubrblOSeeF/Pnca5Kfe5zXxhzWZKyKPJzv8+hM48dTKprRavSSzON70blz/Ni/jzOVSk7lyRVQ5Gf+30OnVksMKmuFa1KL800vhuVP8+L+fM4V6XsXJJUDUV+7vc5dGZxipwkSZIkSZIyscAkSZIkSZKkTCwwSZIkSZIkKRMLTJIkSZIkScok14t8hxBmA18EngM8CpwJrC9bZQmwIcb4/rL7LAJ+BmxPv3VzjPHKfBJLkiRJkiRpMnl/itxaoCfG+JIQQgA+E2M8GiCE8BzgJuDiUfdZBtwYY3x3rkklSZIkSZJUkbynyC0FtgDEGCNwaNlt64BzY4w9o+7zYmBZCOG7IYQvhxCemU9USZIkSZIkVSLvDqb7gBNDCF8DjgAOCiG0AM8HFsQYvz3GfXYAP4ox3hFCOBX4NHDyRDtZuLCN1taWaY4uTU1LS1K/Xbx4fo2TTE1Rc0Oxs0uSnuD5XKpfRX58Fjm7VAR5F5iuJelauhP4PknhaDCEsIonX4up3FZgb7p8M3DRZDvZvXvvZKtIVTc4OATAzp17apxkaoqaG4qdXZL0BM/nUv0q8uOzyNmlejFRgTbvKXKHA3en1126GfiP9PuvBG4b5z7XAG8oW+9H1QwoSZIkSZKkqcm7g+kB4KMhhPcCDwOnpd9/Royxq7RS+slx18QYVwDvB64NIbwT6AVOzzmzJEmSJEmSJpBrgSnGuAs4dozvHzTq625gRbr8S+AVuQSUJEmSJEnSlOU9RU6SJEmSJEkNxgKTJEmSJEmSMrHAJEmSJEmSpEwsMElSjXV2bqezc3utY+yX005bxWmnrap1jCnbsGE9Gzasr3WM/XL55Zdy+eWX1jrGjNLRcQYdHWfUOsaUFfncIlXK41yqb1u23MqWLbfWOoZykvenyEmSRtm8+SYAli49rMZJpm5goL/WEfbL1q3fAmDNmrU1TjJ19977w1pHmHF27dpZ6wj7pcjnFqlSHudSfdu8+csAnHDCSTVOojzYwSRJNdTZuZ0dOzrZsaOzcO/AlncuFamLacOG9QwNDTE0NFS4LqbyziW7mPJR3rlUpC6mIp9bpEp5nEv1bcuWW+nr20tf3167mGYIO5hSmzZdz7Zt90y4Tm9vDwDt7fMm3d7y5UeycuXqacnWqBxz6Yl3XkvLRXoHtrx7qUidTKXupdJykbqYyruX7GTKR3n3UpE6mYp8bqlX/t1SfzzO1Qga+dxS6l4qLdvFlN10Hi/VOFbsYJqCgYEBBgYGah1jRnHMJUlSUfh3i6Rq8Nyiqajl8WIHU2rlytWTVu9KrfHr1l2VR6SG55hLsGLFKVxyyQUjy0Uye/ackc6l2bPn1DhN5Y455jjuuOP2keUiWbbs8JHOpWXLDq9xmpnhwAMXj3QuHXjg4hqnqVyRzy31yr9b6o/HuRpBI59bVqx4IzfccN3IsrKr9+PFDiZJqqGlSw9jyZKlLFmytHCt/V/4wsYxl+vdmjVraW5uprm5uVDT4wDOPvvcMZdVPeV/nBXpD/sin1ukSnmcS/XthBNOYu7cNubObXN63AxhB5Mk1ViR33UtUudSuaJ1LpWzcyl/RepcKlfkc4tUKY9zqb7ZuTSzWGCSpBor8ruuRepcKle0zqVydi7lr0idS+WKfG6RKuVxLtU3O5dmFqfISZIkSZIkKRMLTJIkSZIkScrEApMkSZIkSZIyscAkSZIkSZKkTCwwSZIkSZIkKRMLTJIkSZIkScrEApMkSZIkSZIyscAkSZIkSZKkTCwwSZIkSZIkKRMLTJIkSZIkScrEApMkSZIkSZIyscAkSZIkSZKkTCwwSZIkSZIkKRMLTJIkSZIkScrEApMkSZIkSZIyscAkSZIkSZKkTCwwzRAbNqxnw4b1tY4hqcGsWnUyq1adXOsYU1bkc+Lll1/K5ZdfWusYM8rq1aewevUptY4hVVVn53Y6O7fXOoYkqcBaax1A+di69VsArFmztsZJJKn2inxOvPfeH9Y6wowzNDRU6whS1W3efBMAS5ceVuMkkqSisoNpBtiwYT1DQ0MMDQ0V9h17SfWnvHOpSF1MRT4nlncu2cWUj/LOJbuY1Kg6O7ezY0cnO3Z02sUkSdpvdjDNAKV36kvLRXzHXiqqTZuuZ9u2eyZcp7e3B4D29nmTbm/58iNZuXL1tGSbqYp8TizvXrKTKR/l3Uv11MnkuUXTqdS9VFquly6mIh/n05ndx6fqlce5RrODSZJqbGBggIGBgVrHkNRgPLdoJijycV7k7FKlPM5nFjuYZoBjjjmOO+64fWRZUn5Wrlw96bsxHR1nALBu3VV5RJrxinxOXLbs8JHOpWXLDq9xmpmhubl5pHOpubl+3pfz3KLptGLFKVxyyQUjy/WiyMd5kbNLlfI412j185eSqmbNmrU0NzfT3NxcqKkgkurbxo1fGXO53hX5nHhxjUbrAAAgAElEQVT22eeOuazquf76m8ZclhrJ0qWHsWTJUpYsWVo30+MkScVjB9MMUbR36SWpmop8TrRzKX/11LkkVUs9dS5JkorJAtMMUbR36SUVQ5E6l8oV+Zxo51L+7FzSTGDnkiQpK9+SkyRJkiRJUiYWmCRJkiRJkpSJBSZJkiRJkiRlYoFJkiRJkiRJmVhgkiRJkiRJUiYWmCRJkiRJkpSJBSZJkiRJkiRlYoFJkiRJkiRJmVhgkiRJkiRJUiYWmCRJkiRJkpSJBSZJkiRJkiRlYoFJkiRJkiRJmVhgkiRJkiRJUiYWmCRJkiRJkpSJBSZJkiRJkiRlYoFJkiRJkiRJmVhgmiHe/va38Pa3v6XWMSQ1mFWrTmbVqpNrHWPKLrzwQ1x44YdqHWNG6eg4g46OM2odY78U9TiXJEnKU2ueOwshzAa+CDwHeBQ4E/gT4JPAf6arnR9j/G7ZfQ4ENgFzgd8Cb40x7s0zdyPYu7e31hEkqW488ECsdYQZZ9eunbWOIEmSpCrKu4NpLdATY3wJ8G7gM8Ay4H0xxqPTf98ddZ/zgE0xxpcCPwb+JtfEDaC8c8kuJknTpbyjo0jdHeWdS3Yx5aO8c6loXUxFPc4lSZLylmsHE7AU2AIQY4whhEOBIeBFIYQOYBtwboxxX9l9jgIuSZe3pMtX5Be5+Mq7l+xkkjTTlXcv1Vsn06ZN17Nt2z0TrtPb2wNAe/u8CddbvvxIVq5cPW3ZsijvXrKTSZIkqTHlXWC6DzgxhPA14AjgIOBK4Gbgl8DVwDtIOptKFgCPpMt7gKdMtpOFC9tobW2ZxtiJlpak4Wvx4vnTvu08FSl/kce8qNmLmhuKm72ouUcrav56yt3WNmvkeBjPwMAAAAsWLJh0W/X0s5Wr11yVKFL2Ip9bipq9qLmLrMhjXtTsRc0Nxc1e1NxQ7OxFVcsxz7vAdC1wKHAn8H3gR8AXYowPA4QQ/gl4w6j7PArMB/rS/x+ebCe7d1fnEk2Dg0MA7Ny5pyrbr5a2tvaRzqW2tvZC5S/qmENxsxc1NxQ3e1Fzj1aU/IccEkY6lw45JNRV7te//k28/vVvmnCd0hSzT33qs5Nur15+tgMPXDzSuXTggYvrJtf+KFL2Ip9bipq9qLmLrMhjXtTsRc0Nxc1e1NxQ7OxFVe0xn6hwlfc1mA4H7o4xHs0TXUs/CSE8K739lSRFp3LfB16TLp8A3JVDzoby+c9fN+ayJGWxceNXxlyud+ef/7Exl1U969ZdNeZyERT1OJckScpb3h1MDwAfDSG8l6QT6TTgMGBzCKEP6ATWhxAWAdfEGFcAFwPXhRDWAruAlTlnbghtbe21jiBJdeOQQ0KtI8w4Bx64uNYRJEmSVEW5FphijLuAY0d9+7fAN0d9rxtYkd7nIeD46qdrbHYuSaqGonZ02LmUv6J1LpUr6nEuSZKUp7ynyEmSJEmSJKnBWGCSJEmSJElSJhaYJEmSJEmSlIkFJkmSJEmSJGVigUmSJEmSJEmZWGCSJEmSJElSJhaYJEmSJEmSlIkFJkmSJEmSJGVigUmSJEmSJEmZWGCSJEmSJElSJhaYJEmSJEmSlIkFJkmSJEmSJGVigUmSJEmSJEmZWGCSJEmSJElSJhaYJEmSJEmSlIkFJkmSJEmSJGVigUmSNOOsWnUyq1adXOsYM4pjLkmS1NgsMEmSJEmSJCkTC0ySpBmlvIvGjpp8OOaSJEmNr7XWAZTdpk3Xs23bPROu09vbA0B7+7wJ11u+/EhWrlw9bdkkFZfnFs0EHueaCTzOJUl5sINphhgYGGBgYKDWMSQ1GM8tmgk8zjUTeJxLkrKyg6kBrFy5etJ3kjo6zgBg3bqr8ogkqQF4btFM4HGumcDjXJKUBzuYJEkzysaNXxlzWdXjmEuSJDU+C0ySJEmSJEnKxClykqQZxy6a/DnmkiRJjc0OJkmSJEmSJGVigUmSJEmSJEmZWGCSJEmSJElSJhaYJEmSJEmSlIkFJkmSJEmSJGVigUmSJEmSJEmZWGCSJEmSJElSJhaYJEmSJEmSlIkFJkmSJEmSJGVigUmSJEmSJEmZWGCSJEmSJElSJhaYJEmSJEmSlIkFJkmSJEmSJGVigUmSJEmSJEmZWGCSJEmSJElSJhaYJEmSJEmSlIkFJkmSJEmSJGVigUmSJEmSJEmZtNY6gCRJ02nTpuvZtu2eCdfp7e0BoL193qTbW778SFauXD0t2RqVYy5JkiQ7mCRJM87AwAADAwO1jjGjOOaSJEmNzQ4mSVJDWbly9aTdLx0dZwCwbt1VeURqeI65JEmS7GCSJEmSJElSJhaYJEmSJEmSlIkFJkmSJEmSJGVigUmSJEmSJEmZWGCSJEmSJElSJhaYJEmSJEmSlIkFJkmSJEmSJGVigUmSJEmSJEmZtOa5sxDCbOCLwHOAR4EzgT8ELgYeB/4bWB1j3Ft2nybg18AD6bfuiTF+IM/ckiRJkiRJGl+uBSZgLdATY3xJCCEAnwEOBl4WY3wohPBx4HTg78vu81zg3hjjSTlnlSRJkiRJUgXyniK3FNgCEGOMwKHA0THGh9LbW4H+Ufd5MXBQCOHOEMI/p4UpSZIkSZIk1Ym8O5juA04MIXwNOAI4iGRaHCGEvwReAXxk1H1+B3w8xvjlEMJRwEbg8Il2snBhG62tLdOdnZaWpB63ePH8ad92tRU1e1FzQ3GzFzU3FDd7UXNDcbMXNTcUN3tRc0Nxsxc1NxQ3e1FzQ3GzFzU3FDd7UXNDcbMXNTcUO3tR1XLM8y4wXUvStXQn8H3gRzHGwRDCWcDJwPExxtEdTP8K7AOIMd4dQjgohNAUYxwebye7d+8d76ZMBgeHANi5c09Vtl9NRc1e1NxQ3OxFzQ3FzV7U3FDc7EXNDcXNXtTcUNzsRc0Nxc1e1NxQ3OxFzQ3FzV7U3FDc7EXNDcXOXlTVHvOJCld5T5E7HLg7xng0cDPwHyGEDwEvBY6NMe4a4z7nAx0AIYQXAL+aqLgkSZIkSZKkfOXdwfQA8NEQwnuBh4F3pN+7F9iSXl7pSzHGq0II3wROBD4BbAwhvJakk2lNzpklSZIkSZI0gVwLTGmH0rGjvj1rnHVflS4+Bry2mrkkSZIkSZK0//KeIidJkiRJkqQGY4FJkiRJkiRJmVhgkiRJkiRJUiYWmCRJkiRJkpSJBSZJkiRJkiRlYoFJkiRJkiRJmbTWOoBUTy666MN0d3dNy7ZK2+noOCPzthYteirnnXdx5u1IklQtPodqJijycT5d2aczN0yevchjrvq0adP1bNt2z4Tr9Pb2ANDePm/S7S1ffiQrV66elmxFZ4FJKtPd3UV3104WzM2+rQPS/sB9e3dm2s6jfdmzSJJUbd3dXezq2gUV/DE+qZYWAHb192fbTvoCQZou3d1ddHV1Mbd9UeZtNbfMBmBv/3Cm7fT1dle0Xin7vIzZW9LcAxlzA/RUkD35+7yLBXOzj/kBzUn2fXuzZX+0r7IxV3ENDAwAlRWY9AQLTNIoC+bCe4+fVesYIy677bFaR5AkqTLt85j15lW1TjHisRs31jqCGtDc9kW89tQrah1jxDduOKvidee1L+K0U66sYpqp+cJNf1vRegvmLuK9r6ufMb/slsrHXPVn5crVk3Yclbrc1q27Ko9IDcNrMEmSJEmSJCkTC0ySJEmSJEnKxAKTJEmSJEmSMrHAJEmSJEmSpEwsMEmSJEmSJCkTC0ySJEmSJEnKxAKTJEmSJEmSMrHAJEmSJEmSpEwsMEmSJEmSJCkTC0ySJEmSJEnKxAKTJEmSJEmSMrHAJEmSJEmSpEwsMEmSJEmSJCkTC0ySJEmSJEnKxAKTJEmSJEmSMrHAJEmSJEmSpEwsMEmSJEmSJCkTC0ySJEmSJEnKxAKTJEmSJEmSMrHAJEmSJEmSpEwsMEmSJEmSJCkTC0ySJEmSJEnKpLXWAfJw0UUfpru7K/N2Stvo6Dgj87YAFi16Kuedd/G0bKveOOb5K+qYT1dumN7sjXysSJKerKjPoZLqm+cWzTQzosDU3d1Fd9cuFs1py7Sd2c0tyULv3uyZ+rNvo54lY76ThXOaMm1nVvMwAMO9uzJn2t0/nHkb9ay7u4uurp3Mn5ttO61pX+Nje3dmzrSnb/J1SrnbM+YGaEmz92fM3ltBbklS4+ju7mJX1y6a2udn2s5wS/KndVf/QOZMw717Mm9DUm0lr4m6WDhnUabtzGqeDcBwb/bXM7v7uzNvQxrPjCgwASya08a6V6+odYwRHbdvrnWEqls4p4lPHDOv1jFGvH9rT60jVN38uXD6iS21jjHimq8PVrRe+1w45XXZipHT6aZbGrsYKUn6fU3t85nz5nfUOsaI/huvrnUESdNg4ZxFXHL0p2odY8QHv3NOrSOogXkNJkmSJEmSJGVigUmSJEmSJEmZWGCSJEmSJElSJhaYJEmSJEmSlIkFJkmSJEmSJGVigUmSJEmSJEmZWGCSJEmSJElSJhaYJEmSJEmSlIkFJkmSJEmSJGVigUmSJEmSJEmZWGCSJEmSJElSJq2VrBRCWA4cBXwG+DrwIuCvY4y3VTGbJEmSJEmSCqDSDqa/B7YDJwN7gWXAR6sVSpIkSZIkScVRaYGpOcb4TeC1wFdjjP9Jhd1PkiRJkiRJamyVFpj2hhDOAY4Bvh5CeA+wp3qxJEmSJEmSVBSVFphOBdqBN8QYdwMHAW+uWipJkiRJkiQVRqXT3N4fY3x36YsY47khhOuAt1QnliRJkiRJkopiwgJTCOEa4DnAn4UQnj/qfn9QzWCSJEmSJEkqhsk6mC4GDgauBC4s+/4+4KdVyiRJkiRJkqQCmbDAFGN8EHgQeEEIYQHwFKApvXke0D2VnYUQZgNfJOmKehQ4E3gqSQFrH/DNGOOFo+5zILAJmAv8FnhrjHHvVPYrSZIkSZKk6qnoIt8hhA8Avwa+B3w3/fed/djfWqAnxvgS4N3AZ4CrgZXAUcARIYRlo+5zHrApxvhS4MfA3+zHfiVJkiRJklQllV7k+3TguTHGnRn3txTYAhBjjCGEw4GHYoy/AAgh3A68Eri37D5HAZeky1vS5Ssy5iiEiy76MN3dXdOyrdJ2OjrOyLytRYueynnnXZx5O/Wot7eH/n647LbHah1lxCN9MGe4p9YxNIbpeoxO5+MTJn+Mem7RTFDk47yo55be3h7o7+exGzdOy/6mRW8PvYP7ap1CYyjycd7fP8A3bjhrWvY3Hfp6uxkenD3peqXsX7jpb3NIVZme3m72TZK9lPuyW+pnzB/p62bO8ORjXlRFfg4tqkYZ80oLTL9iitPhxnEfcGII4WvAESRT7n5Rdvsekulz5RYAj5Td/pTJdrJwYRutrS0jX7e0NDOYIXS1tLQ0s3jx/HFvf+SR3XR37WLRnOwnr9nN6czG3j2ZttPdPzBpbkh+tnr8c26y7E1NTePeVktNTU0VjXk9mmzMi5obksdoV9dO5rZl21dzerra25e1hg99eys7t+zq2sns9sy7oynNvqc/W/aB3srGfLqUjru89jedipo979zJcb4L2udm31iafVd/b7bt9PZVfG5Jsmc8ubQkD9Bd/dNwZYHevT6H1kAjnxeT47yL1vaFmbYz3DILgIf7hzJn2te7u6GP86JmL2puKL0mqr9XopW9Du1i0ezsn+s1uyl5jNKTbRy6Bx5u+HNi8tp/XuZtzS69uOjtz7Sd7v6eKY95pQWmB4C7Qwh3AiMpY4wXTS0i1wKHAncC3wfuB8pf4swHHh51n0fT7/eNc/vv2b37yX9IDQ5mf8KphsHBIXbuHL/gMzg4xKI5s7n81UflmGpiZ99+96S5obhj3tbWziz28t7jZ+WYamKX3fYYrW3tDTvmRc1dWmduGxz/lzmFqsBtN1c25rPb4YhTcgw2iR/cVNmYT5fScZfX/qZTUbPnnXtwcAja59K68oRc9leJfZu2VP4c2t7GAW9+Q07JJvf4jV+t6Dl0b3MLs968KsdkE3vsxo20zZnTsM+h070vyPcx2tq+kOeuujSX/VXiFxvPreg4p7mN155aPxMqvnHDWbTNaZr0d9fW1k5LcxunnXJlTskm94Wb/pbZk2RP/j5v472vq58xv+yWs2htm3zMi3puGRwcYtHsP+BTLzs/x1QTO+d7Fzb8OXHRnHlccexpueyvEmfd8YUxx3yiglOlb9f8BrgNGCC5yHfp31QdDtwdYzwauBn4GfBYCOG5IYQm4NXAXaPu833gNenyCWPcLkmSJEmSpBqqqINp9Ce7ZfAA8NEQwntJOpFOA/4QuAFoIfkUuR+EEBYB18QYVwAXA9eFENYCu0guCC5JkiRJkqQ6MWGBKYRwb4xxWQhhCBguu6kJGI4xtoxz1zHFGHcBx4769m+Bl4xarxtYkS4/BBw/lf1IkiRJkiQpPxMWmGKMy9L/6/PKh5IkSZIkSaq5iqbIhRDagPOBV6b32Qp8JMaY8eNUJEmSJEmSVHSVdiZ9huTT3t4GvAWYBVxdrVCSJEmSJEkqjoo6mIAXxxhfUPb1u0IIndUIJEmSJEmSpGKptIOpOYTwB6Uv0uV91YkkSZIkSZKkIqm0g+lyYFsI4RaST5B7HfDxqqWSJEmSJElSYVRaYLoBeDbwEZIC01nAF6sVSpIkSZIkScVRaYFpPTAHWEEyrW418Fygo0q5JEmSJEmSVBCVFpiOiDEuKX0RQrgV2F6dSJIkSZIkSSqSSi/y/csQwvPKvn468Jsq5JEkSZIkSVLBVNrBdABwfwjheySfHncU8LsQwlaAGOMxVconSZIkSZKkOldpgemjo76+bLqDSJIkSZIkqZgqKjDFGL9b7SCSJEmSJEkqpkqvwSRJkiRJkiSNyQKTJEmSJEmSMrHAJEmSJEmSpEwsMEmSJEmSJCkTC0ySJEmSJEnKxAKTJEmSJEmSMmmtdQA1pt7eHgb6h3n/1p5aRxmxu3+Y2dRPHklTd9FFH6a7uyvzdkrb6Og4I/O2ABYteirnnXfxuLdPV26Y3uyT5Ybijrk0Fb29PQz399N/49W1jjJiuHcPvYOPT7hOkc8t0kyQvCYa4IPfOafWUUbs7u9mNrNrHUMNygKTJKkwuru72NW1k5b2bNsZbkn+392/M3Omwd7J1ynlZt4BmfdHmn3XwMPZttMz8QvXkiT7LmjP+MdoSxMAu/r3ZNsOQO9A9m1IDSB5fHbR1L4g87aGW5LzU1d/ZeeGcbfT+2jmLJKkYrLApKpob59HG/184ph5tY4y4v1be2hqr588kvZPSzs8fVVTrWOMeGjjcGUrzjuAllWhumGmYHBjrHzl9tm0rjqqemGmaN/Gu2sdQQ2mvX0e/S0HMOfN76h1lBH9N15N+5zJC7tN7QuYt/LcHBJVpmfTpbWOINWN5DVRO5cc/alaRxnxwe+cQ1N7/fwdpcbiNZgkSZIkSZKUiQUmSZIkSZIkZWKBSZIkSZIkSZlYYJIkSZIkSVImFpgkSZIkSZKUiQUmSZIkSZIkZWKBSZIkSZIkSZlYYJIkSZIkSVImFpgkSZIkSZKUiQUmSZIkSZIkZWKBSZIkSZIkSZlYYJIkSZIkSVImFpgkSZIkSZKUiQUmSZIkSZIkZWKBSZIkSZIkSZlYYJIkSZIkSVImFpgkSZIkSZKUiQUmSZIkSZIkZWKBSZIkSZIkSZlYYJIkSZIkSVImFpgkSZIkSZKUiQUmSZIkSZIkZdJa6wB56O3tYaC/n47bN9c6yoju/r3MZmjCdUq5z7797pxSTa67v5/ZNNU6hsbQ29tDfz9c8/XBWkcZsacP5gz3TLhOKfdNtwznlGpyvX0wOElueCL7bTfnEKpCfXtheGjyMR/ohx/clFOoCgz0QvPg5GMuVaq3twf6+9m3aUutozyht4/ewcnPdaXsj9/41RxCVah3L72DE//dkqzXw2M3bsy+v4H+5P/Zc7Jtp7cH5mTchqqit7eHff0D/GLjubWOMmJf7256B2dPul5fbzffuOGszPt7bKAXgFmz2zNtp6+3m7Y5T82cp5492tfNZbdkH/O+x5Ixnzsr25g/2tfNorbGHfPkb8UBzvnehbWOMqK7/2FmN03++Lzoog/T3d2VfX/pNjo6zsi8LYBFi57KeeddPC3bqmczosAkSZKk6lq0aPpebHXvTV4ELspaHJozZ1pzSdN5PPXvHQCgbc68TNtpm/PUhj7Op/Nne7w/GfP5bdnGfFFbY495kXV3d9HdtYtFcxZk2s7s5rRU0vtY9kz9j2beRlHMiAJTe/s82mlm3atX1DrKiI7bN0N724TrJLmHufzVR+WUanJn3343tGc7Ias62tvncUBTH6ef2FLrKCOu+fogsyZ5Am9vn0dLUx+nvK5+OuNuumWYORX84dHePo+m5j6O/8scQlXotpuhbe7kYz7U0scRp+QUqgI/uAnaM/6BLZVrb59HX0sTrStPqHWUEfs2baF9zuTvmifZmzngzW/IIVVlHr/xq7TPmfjvlul8Z7b0jvG6dVdN2zZVX9rb5/F4SxvPXXVpraOM+MXGc2mfM/EVRDzO8+eY56+9fR7tw3P51MvOr3WUEed870Jor+x1zqI5C7j8Fdk73qbL2XdeUesIufEaTJIkSZIkScrEApMkSZIkSZIyscAkSZIkSZKkTCwwSZIkSZIkKRMLTJIkSZIkScrEApMkSZIkSZIyscAkSZIkSZKkTFrz3FkI4QDgOuBgYBBYC1wAPCNd5WDgX2KMbyq7TxPwa+CB9Fv3xBg/kE9iSZIkSZIkTSbXAhPwGqA1xvjnIYTjgI/FGN8AEEJYCNwJnDXqPs8F7o0xnpRvVEmSJEmSJFUi7wLTz4DWEEIzsAB4vOy2C4FPxxh/N+o+LwYOCiHcCfQBZ8UYYy5pJUmSJEmSNKm8C0w9JNPgdgAHAicChBCeBryS3+9eAvgd8PEY45dDCEcBG4HDJ9rJwoVttLa2jHzd0tLM4HSkn2YtLc0sXjx/wtuLmLu0zr6c8kxFJWNexNyldepRJWNejxzz/Dnm+XPM89fIYz7d+wJy31+9afzjfCifQFPQ+Md5/b26aPQx31fAMU9ehxYvd2md+kve2K/9y+VdYDoLuD3G+IEQwrOBrSGEPwFOBjbFGMca03+F5DV/jPHuEMJBIYSmGOPweDvZvXvvk74eHKy/Jy9Icu3cuWfC2+vRZLlL69Qjxzx/jnn+HPP8Oeb5c8zzV0n26dwXkPv+6o3Hef48zvPnmOfPc0v+GmnMJyo45f22x27gkXS5GzgAaAGOBbaMc5/zgQ6AEMILgF9NVFySJEmSJElSvvLuYLoCuDaEcBcwC/hgjLE3hBD+P3t3HmZZVd57/NvQTTddDNKAgGI0GngRNTFcJUoU53m8xCmIOAUUNVdA44A44IDRq6JGnBACCBgFUYOKA0EjOBFnCfI6xuE6Ic3U1QNNU/ePtY99aLurTvWuPnuv6u/nefqpU8M59WOza5293732u4CfDv9gRHyOcgvdPwNnRcSjKDOZnjHeyJIkSZIkSZrOWAtMmbkCeNJGvn6XjXztoc3DG4FHbeFokiRJkiRJ2kz97AwoSZIkSZKkalhgkiRJkiRJUisWmCRJkiRJktSKBSZJkiRJkiS1YoFJkiRJkiRJrVhgkiRJkiRJUisWmCRJkiRJktTKwq4DjMvy1Ss5+rPnt3qNybU3AjCxaLs5ybNsYukIP7eGYz97aevfN7l2LQATixa1ep3lq9ewbGLHkX72mtVTvOziFa1+3+TaKQAmFi1o9TqDPMsmZv6561fBWz5zY+vft6p5ie1b7i7Xr4JlM+8q0qysmYSvf6T969y0pnxcuLh9nh2XzPxzk5MrWLcafnfWVLtfOIfWTcLkuunHusnJFbB6LevOyjGlGsGKtUzeNPMYXbKv5qaz2r8XzZnJ1UyuG+F9YXIVN51zYfvft6YZ0Be3HNAnV8GSEd6I1ImpyRtY/aH3tnuNNasBWLB4hAFthDwsmX5wnZxcwdTq1aw4502tf99cmZq8jsl17f/7tWWsmFzOqR95YavXWL1mEoAli9uPZysml7N4ya6tX6fPrlm9nOO++KJWrzG5tmzziUXtt/k1q5ezbGJ+b/MaTU6uYM3q1Rxz0aldR/mj5atXsJibZvWcraLAtGzZ3PwBrVm+CoCJEQpDM1k2sXTGXHOVG2DN8qsBmBixOLQpyyZ2HCnXXGW/scm9wxwMgssmZs41l9t87eqSfcel7V5z2dK5zSXN5f60fGWzn7c8ONxxifu55tbc7uelaLCsbXFoyYT7eU/N1f+X5StL0XbZDIWhkSxZ7P6iOTVX+9PkynJ1afGSHVq/1uIlu87r/XzuzonKNt9hov02XzYxv7e5urVVFJhe9arXz8nrHH30UQC8/e3vmZPXm8lc5YZ6s9eaG8afXRpVzfv5xMQO3LjtKvY4rP2sxrnyu7OmmJjhIHtiYgdWLbyJbQ+LMaWa2bqzkonFMx+oTkzswKptp1h42H3GkGo0N5116YzbvOb9XONX63HLxMQOrN52MTsc+tKx/L5RrDjnTUwsaTdjXltGrft5zdzmGtXExA5MsJCTHvzsrqP80TEXnQoTs5uRag8mSZIkSZIktWKBSZIkSZIkSa1YYJIkSZIkSVIrFpgkSZIkSZLUigUmSZIkSZIktWKBSZIkSZIkSa1YYJIkSZIkSVIrFpgkSZIkSZLUigUmSZIkSZIktWKBSZIkSZIkSa1YYJIkSZIkSVIrFpgkSZIkSZLUigUmSZIkSZIktWKBSZIkSZIkSa1YYJIkSZIkSVIrFpgkSZIkSZLUigUmSZIkSZIktWKBSZIkSZIkSa1YYJIkSZIkSVIrFpgkSZIkSZLUigUmSZIkSZIktbKw6wCS5s4Nq+ADn1zX6jVW31g+LtlubvLsunTmn5tcBR/596nWv29Nk31xy+yTq2DJCLkBVq2Ez3ys3e+7scm93Rxs81UrYdihVaMAACAASURBVOn27V+nz9ZNwu/Oare/3LymfNxm8dzkYUn71+m1yTXcdNal7V5jzdrycfGiOcnDkh3bv06fTa5k7Yc+2u415mpQbPKMPDBKI7pp8hp+ctZLW73GujWTAGy7eGJO8rBk19avI80Hy9dcy4u+dELr15lcuxKAiUXt3kOWr7mWZTvM/Pc5ObmCNatXc+wXTmr1++bS8tXXs3jeHywWFpikeWLZsrk5IFqx+moAtlva/vV2XTpzrrnKDbCyyb6kZfYlI+SGucu+elXJvXT79q+3dPu53aZ9M1f/bctXlm2+y1ycSCxxm49isM2XzUVhaMmObvMRLF+5qrzeXBSGliyd19tc4zd3+3kppN5qTsaWXd3PJeb2uGbN8vI3OrFDu7/RZTv491kDC0zSPPGqV71+Tl7n6KOPAuDtb3/PnLzeTOYqN9Sbfdy5a+Y2Hz+3+fi5zbU1cD+X+qvm4/OJiR2YYDve9oBjxvL7RnHsF06CiTmYTVwBezBJkiRJkiSpFQtMkiRJkiRJasUCkyRJkiRJklqxwCRJkiRJkqRWLDBJkiRJkiSpFQtMkiRJkiRJasUCkyRJkiRJklqxwCRJkiRJkqRWLDBJkiRJkiSpFQtMkiRJkiRJasUCkyRJkiRJklqxwCRJkiRJkqRWLDBJkiRJkiSpFQtMkiRJkiRJasUCkyRJkiRJklqxwCRJkiRJkqRWLDBJkiRJkiSpFQtMkiRJkiRJasUCkyRJkiRJklqxwCRJkiRJkqRWFo7zl0XEIuAM4A7AOuAIYClwAfCj5sfek5kfHnrO9sBZwK2BG4CnZ+ZVY4wtSZIkSZKkaYx7BtMjgYWZeRDwWuANwAHA2zLz/s2/D2/wnKOA72fmfYEzgePHmliSJEmSJEnTGusMJuCHwMKI2AbYCVgL/C8gIuJxlFlMR2fmDUPPuQ/w5ubxhcArx5hXkqS5sWIt687K9q+zel35uGTb1nlY3D6OpG5NTV7PinPe1P511qwCYMHi7VvnYcmurfNI0uZavvp6jv3CSa1eY3JtGRMnFrUbEwd5lk3sNsLPreCYi05t/fsm164GYGLRklavs3z1CpZNzO41xl1gWkG5Pe5KYDfg0UAAH8jMb0bEK4BXAy8ees5OwHXN4xuAnWf6JbvsspSFC1seeG/EttuWCV+7777jnL/2llZr9lpzQ73Za80N9WavNTfUm33cuffY49Z//J1tXTVZ7hLffemydi+0FHbbbbexbYNa9xWoN3utuaHe7FWPLSuvB2D3iVu1e6GJ3R1bRlRr9lpzQ73Za80N9Y6La64qc1522qldkQZg952WzDguzuV4vuaqSQB22mlpq9fZfaelsx7Px11gOgb4bGa+PCJuB1wM3Dczf9t8/2PAv2zwnOuBwX/RjsC1M/2Sa65ZOUdxb2ndupsBuOqqG2b4yf6pNXutuaHe7LXmhnqz15ob6s0+7twvf/kJc/ZaRx99FABvfevJc/J649oGte4rUG/2WnNDvdkdW9ZzbJlZrdlrzQ31Zq81N9Q7Ls71mAjTb4OaxvPpCk7j7sF0DetnIy0HFgEXRMSBzdceBHxzg+d8mdK7CeARwCVbOqQkSZIkSZJGN+4ZTCcBp0XEJcB2wHGU2+XeFRE3Ar8FjgSIiM9RbqF7D3BGRFwK3AgcOubMkiRJkiRJmsZYC0yZuQJ40ka+ddBGfvahzcMbgSduyVySJEmSJEnafOO+RU6SJEmSJEnzjAUmSZIkSZIktWKBSZIkSZIkSa1YYJIkSZIkSVIrFpgkSZIkSZLUigUmSZIkSZIktWKBSZIkSZIkSa1YYJIkSZIkSVIrFpgkSZIkSZLUigUmSZIkSZIktWKBSZIkSZIkSa1YYJIkSZIkSVIrFpgkSZIkSZLUigUmSZIkSZIktWKBSZIkSZIkSa1YYJIkSZIkSVIrFpgkSZIkSZLUigUmSZIkSZIktWKBSZIkSZIkSa1YYJIkSZIkSVIrFpgkSZIkSZLUigUmSZIkSZIktWKBSZIkSZIkSa1YYJIkSZIkSVIrFpgkSZIkSZLUigUmSZIkSZIktWKBSZIkSZIkSa1YYJIkSZIkSVIrFpgkSZIkSZLUigUmSZIkSZIktWKBSZIkSZIkSa1YYJIkSZIkSVIrFpgkSZIkSZLUigUmSZIkSZIktWKBSZIkSZIkSa1YYJIkSZIkSVIrFpgkSZIkSZLUigUmSZIkSZIktWKBSZIkSZIkSa1YYJIkSZIkSVIrFpgkSZIkSZLUigUmSZIkSZIktWKBSZIkSZIkSa0s7DqA2jvnnDO57LKvTvszy5dfDcDRRx817c8deOC9OfTQw+csm6R6ObZoa+B+LmlLcGyRtDWywLSVWLx4cdcRJM1Dji3aGrifS9oSHFskzTcWmOaBQw893KsakuacY4u2Bu7nkrYExxZJWyN7MEmSJEmSJKkVC0ySJEmSJElqxQKTJEmSJEmSWrHAJEmSJEmSpFYsMEmSJEmSJKkVC0ySJEmSJElqxQKTJEmSJEmSWrHAJEmSJEmSpFYWjvOXRcQi4AzgDsA64AhgCfAvzedrgMMz83cbPO/bwHXNpz/LzGeOK7MkSZIkSZKmN9YCE/BIYGFmHhQRDwHeAOwG/GNmficingO8FDh28ISIWAKQmfcfc1ZJkiRJkiSNYNwFph8CCyNiG2AnYC3wlMz8zVCe1Rs856+ApRHxueb7x2Xm18YVWJIkSZIkSdMbd4FpBeX2uCspM5cePSguRcRBwAuAgzd4zkrgLcAHgH2ACyMiMvOmTf2SXXZZysKF2855+G23LS2rdt99xzl/bW1czdu81uy15oZ6s9eau2Y1b/Nas9eau2Y1b/Nas9eaG+rNXmvumtW8zWvNXmtuqDd7rbmh2+zjLjAdA3w2M18eEbcDLo6IuwGPA14BPCozr9rgOT8EfpyZU8API+JqYC/gl5v6Jddcs3KLhF+37mYArrrqhi3y+vpTNW/zWrPXmhvqzV5r7prVvM1rzV5r7prVvM1rzV5rbqg3e625a1bzNq81e625od7steaGLZ99usLVuFeRu4b1zbqXA4uAJ1NmLt0/M3+6kec8C3grQETchnJr3W828nOSJEmSJEnqwLhnMJ0EnBYRlwDbUWYt/QvwC+D8iAD4z8x8dUScCRwPnAqcHhGXAlPAs6a7PU6SJEmSJEnjNdYCU2auAJ60wZfP3sTPHj706aFbLJQkSZIkSZJaGfctcpIkSZIkSZpnLDBJkiRJkiSpFQtMkiRJkiRJasUC01biec97Ns973rO7jiFpnjnssCdw2GFP6DqGtEW5n0uSJM1s3KvIqSPXX39d1xEkSZIkSdI85QymrcDwzCVnMUmaK8MzOpzdofnK/VySJGk0zmDaCgzPXnImk6T57pxzzuSyy7467c8sX341AEcffdSMr3fggffm0EMPn5Ns85XbXLMxl/uL+4qkAccWqXsWmCRJW53Fixd3HWGr4zbXbLi/SNoSHFukLcsC01Zgp512/uPMpZ122rnjNJK0ZR166OFedRwzt7lmw/1F0pbg2CJ1zx5MW4F3v/vUjT6WpDbOOuu8jT6W5hP3c0mSpNE4g2kr4cwlSZIkSZK0pVhg2ko4c0nSluCMDm0N3M8lSZJm5i1ykiRJkiRJasUCkyRJkiRJklqxwCRJkiRJkqRWLDBJkiRJkiSpFQtMkiRJkiRJasUCkyRJkiRJklqxwCRJkiRJkqRWLDBJkiRJkiSpFQtMkiRJkiRJasUCkyRJkiRJklqxwCRJkiRJkqRWLDBJkiRJkiSpFQtMkiRJkiRJasUCkyRJkiRJklqxwCRJkiRJkqRWLDBJkiRJkiSpFQtMW4krrricK664vOsYkuaZww57Aocd9oSuY8xarblrVvM2P/LIp3PkkU/vOsZW5YQTXsEJJ7yi6xiSJGkWFnYdQONx/vkfAWD//e/acRJJkuqycuVk1xG2Oj/6UXYdQZIkzZIzmLYCV1xxOVdeeQVXXnmFs5gkzZnh2Sg1zUypNXfNat7mwzOXnMU0HsMzl5zFJElSPZzB1DjnnDO57LKvTvszy5dfDcDRRx814+sdeOC9OfTQw+ckW1uD2UuDx32ZxTSft7kkaX4Ynr3kTKbxGJ691KeZTB63SNoSHFvGz22+5VhgmoXFixd3HWGr4zaXJEm18LhF0pbg2DJ+bvPNY4Gpceihh8/bquMhhzyJE098zR8f98V83uaSpPlh6dKJP85cWrp0ouM0W4d99ok/zlzaZ5/oOM16HrdI2hIcW8bPbb7l2INpK7D//ndlv/32Z7/99u/N7XGS6nfWWedt9HHf1Zq7ZjVv8/e//4yNPtaW8+pXv2GjjyVJUr85g2kr0aeZS5Ik1cSZS+PXp5lLkiRpNBaYthLOXJK0JdQ2G2Wg1tw1q3mbO3Np/Jy5JElSfbxFTpIkSZIkSa1YYJIkSZIkSVIrFpgkSZIkSZLUigUmSZIkSZIktWKBSZIkSZIkSa1YYJIkSZIkSVIrFpgkSZIkSZLUigUmSZIkSZIktWKBSZIkSZIkSa1YYJIkSZIkSVIrFpgkSZIkSZLUigUmSZIkSZIktWKBSZIkSZIkSa1YYJIkSZIkSVIrFpgkSZIkSZLUigUmSZIkSZIktWKBaStx4YUXcOGFF3QdY9ZqzS1tLQ477AkcdtgTuo4xa7XmrlnN29z3ovF729vexNve9qauY8za6aefwumnn9J1DEmbcMUVl3PFFZd3HWPWHFvGz22+eRaO85dFxCLgDOAOwDrgCOAm4HRgCrgceH5m3jz0nO2Bs4BbAzcAT8/Mq8aZez44//xzAXjEIx7TcZLZqTW3JGn+8L1o/L71rf/qOsJmufjizwPwjGcc0XESSRtz/vkfAWD//e/acZLZcWwZP7f55hn3DKZHAgsz8yDgtcAbgLcBx2fmfYEFwOM2eM5RwPeb758JHD/GvPPChRdewKpVK1m1amVVV2BrzS1tLYZno9Q0M6XW3DWreZv7XjR+wzOXaprFdPrpp3DzzTdz8803e9Vb6qErrricK6+8giuvvKKqWUyOLePnNt98C6ampsb2yyLizpSi0hOA/w08EbgvsHdmTkXE44CHZubzh55zPvDmzPxaROwMfCUz7zLd77nqqhvG9x9VgSOOOJxVq1YCsP32SznllDM7TjSaPuc+55wzueyyr077M8uXXw3AsmW7TvtzBx54bw499PA5yzaducwN9WavNTeMN/tMNiwUnHXWeR0lmZ0+5651P59Jn7f5TPr6XuTY0j+HH/4kbr65TMLfZpttOPPMj3ScaL1ax5b5vJ/31Xze5q9//au48sorANhvv/05/vjXdpxoNI4t4+c2n97uu++4YFPfG+stcsAKyu1xVwK7AY8GDs7MQUHoBmDnDZ6zE3DdNN//E7vsspSFC7edi7zzwjbbLLjF491337HDNKPrc+6lS7dj222nnwC4ZMkSgBl/bunS7cb23zaXuQevV2P2WnMPXq9PfwvD+pprJn3KXet+Plt9zbUxfX0vcmzpvz7lrnVs2Zr2876Yz9t8u+0W3uJxX3LNVp9y1zq2zFafcvV9m497BtPbgDWZ+fKIuB1wMbBLZu7WfP9xwEMy8wVDzzkf+OfMvKyZwfTlzJz2pllnMN3ShRdewNlnnwHAU5/69Gp6SNSaW9pa1DrLoNbcNat5m/teNH5ve9ub/tiD6YAD7smxx76040SjOf30U7joos8C8OAHP8y+HVLPXHHF5Zx44msAOO6411TTh8mxZfzc5tObbgbTuHswXcP62UjLgUXAtyPi/s3XHgFcssFzvkzp3bSp72sGj3jEY9h++6Vsv/3Sqg6Ma80tbS2GiwQ1FQxqzV2zmre570XjN1xQqqW4BKUR7DbbbMM222zjyYjUQ/vvf1f2229/9ttv/2qKS+DY0gW3+eYb9y1yJwGnRcQlwHbAccA3gFMiYjvgB8B5ABHxOcotdO8BzoiIS4EbgUPHnHleOOSQJ3YdYbPUmluSNH/4XjR+Bxxwz64jbJYHPvAhXUeQNI1DDnlS1xE2i2PL+LnNN89Yb5EbF2+RkyRJkiRJmlt9ukVOkiRJkiRJ84wFJkmSJEmSJLVigUmSJEmSJEmtWGCSJEmSJElSKxaYJEmSJEmS1IoFJkmSJEmSJLVigUmSJEmSJEmtWGCSJEmSJElSKxaYJEmSJEmS1IoFJkmSJEmSJLVigUmSJEmSJEmtWGCSJEmSJElSKxaYJEmSJEmS1IoFJkmSJEmSJLVigUmSJEmSJEmtWGCSJEmSJElSKxaYJEmSJEmS1IoFJkmSJEmSJLVigUmSJEmSJEmtLJiamuo6gyRJkiRJkirmDCZJkiRJkiS1YoFJkiRJkiRJrVhgkiRJkiRJUisWmCRJkiRJktSKBSZJkiRJkiS1YoFJkiRJkiRJrVhgkiRJkiRJUisWmKQ5FBHRdQZJ6puI2Lv5eI+us2wNImJxRNy9efy4iFjUdSZJhceKUv9FxLKIuGdE7NZ1ltos7DpAn0XEF4CpjX0vMx845jizFhF3AXYCbgZOBE7MzP/oNtW8dypwn65DbI6IeAhwLLB48LUa9vP5JCIWZebarnNsSkT8jFuOiWuBRcCazLxzN6lGExEHb+p7mfmlcWbZ2kTEe4FfAa8HnhYRT8vMF3Yca1YiYpfMvKbrHLNwNnAR8B0ggCcDh3aaaBoR8Web+l5m/mKcWWar9mNFdaLaY8X5ICJ2B67OzJu7zjKdWsfFiHjVpr6Xma8dZ5bNFRFPohyzXAHcNSJek5lndRxrViJiF+DazNzo+9OWZIFpes9tPr4a+DjwZeBA4NGdJZqd9wIvBE4AXgG8GaimwLSRgXUt8Ic+n4ADkxFxEpCUwh6Z+f5uI43sJOBo4JddB5mtiHgRcGZmXtV1ltmKiCOA/TPzGOBTEfHBzPxg17k2YT9gAXAy8L7MvCwi/hp4XrexRnJU8/FOwHbAfwF/DawA7t9RplmJiHdl5guGPj8zMw/vMtOI/joznwuQmS+MiGoKehFxP8r+vm1EnAv8PDNP7TjWKG6bme8FyMw3N0WQPvtw83FXYEfgcmB/4HfAAV2FGlHtx4pExF2B9wC3ohQnL8/MT3abatMi4qv8aVFvATCVmQd1EGm2qj1WjIg7AE8Alg6+VlHR4AGU4t71wK0i4ojM/HzHsaZT67j4u+bj44GfUcbEewKbLJj10DHAAZm5IiJ2BC4GqigwNRdU/xVYBUxExLMz8+JxZrDANI3MTICI2CMzP9J8+WMR8Y8dxpqNtcB/A9tl5tciorb/358E9qa8Ae8LTAILI+IlPa4if6X5uEfzcexV4xZ+kZkXdR1iM00CH4+I31AOHj7TRcV+Mx0FDA6IHwV8CehlgSkz1wBExJ0y87Lma9+uYbp/Zv49QER8CnhcZt4UEdsCn+o22cwi4vnA8cCyiDiEciK1gDK+12BBROyamVdHxK2o69jjdcDBwEcpM4G/TBljei8i9s3MH0bEnYBtu84zncy8N0BEfAw4PDNviIgJ4EPdJptZzceKEfGozPwU8A7gmcAplP37QsoxWF89pesALW14rFiTDwGfAX7bdZDN8DrgPpn564i4LXA+0NsCU63jYma+DyAiDsnMwQXIsyOit9t6I27OzBUAzXZf3XWgWTgRuF9m/ioibgecB/zNOAPUdJDXqYh4NnAZ5URwZcdxRjUFnAN8upnqN9lxntn6GfDAzPxDM83vA8ARlAOfXhWYImLvzPwVPR/0Z/D75laWb9MUxmq5otZcqX9vc1voK4D3RcRpwNsz89pu081oXWauBsjMtRFRQ2Hs2oh4HevHxP/pNs6s7DX0eCFw666CjCozTwZOjojjMvPErvNshtcC34iIa4Cdged3nGc2bs7M5RExlZmrI+KGrgON6GjgIxGxB/D/WD/Lpu/2zswbADJzMiJu03Wg2ajwWPG2gweZ+eNmP7+q7/t5Zv4coCkSvAnYnXIS9T3g5x1GG0lmnhARDwb+HPg68MOOI83Gysw8oesQm2ldZv4aIDP/X0VFg1rHxV2bC5I/aS5E7tR1oFn4SUS8lXLR92DgJx3nmY11zTkpmfnLLvZzC0yjeSrwIuAQ4EpKL4MaPBk4MDM/3UwLrSX3wB6Z+QeAzLymuTq4PCL6eM/0sc2/97F+1tKC5nEtPRh+1nzcs9MUm6GZFfEU4HDgWsqtoQuBTwD36zDaKD4REZdQTkoOoGTuu6cCzwAeAfyAMrumFqcC/x0Rg6nmr+44z2ycHBFvBu5COSF5XWYu7zjTjDLzkxFxIbAb8PuKZhcC/Dgi3kg5UH4ZFZy8AmTm14G7d51jM3wuIv4T+AblNrNezubchMGx4t9RxsXeH3MNXURaHhHPodxO8RTK+2gN3g+8FXgl5UTwDOBenSYaQUScSJmhf2fgRuDlwN93GmoGEbFv8/B3EfH3wLdYfzGylgLZ9c3MwkHRoPfvn41ax8WjgQ81heDfAE/rOM9sPAt4DvAQSh+ml3UbZ1ZWRMRRrN/Pxz6eL5iaquk4rzsbXmkYzDjoo4h4dHNAf+SG36tlRgpARJwMLAO+CtwbuBq4BPj7zHx8l9mmExG7Uvq8/HRQIKtFRDyKcvKamVlDoQOAiPgRZVbbaZn5y6GvvyEzX9FdstFEWe0pgCsz87td55lJRCyg3E+/ZPC1mhplR8ROlH5SVf2NRsR5lAOGL1EKpw/KzMd2m2pmzQICx3DL/aWKwntza/k/AHejFA3en5k3dptqZhFxOOWAeHib37G7RKNrZqIO3od6Px4Oi4hbc8tt3ttGvMOaMfE41u/nJ9ZQvI6I/8jMB0XExZn5wIj4Ymbev+tcM4mIL2XmwRHxhcx8QER8LTN7XRibpo/bVEXj+c6UC2J3phQN3ljL4g01j4s1iYh7ZOY3IuKhG34vMz/XRabZau76eRXr9/M3ZObV48zgDKYRVHilYdfm417T/lTPZebzI+KxlO3+wWYmVgAXdBxtkyLiiZRVB35AZasONFfp9wEuBZ4eEffNzBd3HGtU+w7PioiIvTLzN5UUl24LvJhmin9ELGlmH/TZRyl5f8n6mXpVFJiaYt6RNCeBEUFmPqvbVCPbNTPf2Tz+TkQ8odM0o6t2AQHKqpqfpDRvPoLyvlrDLKaXAo+lsm3e9It4FOXvc7+IeFxFDYTfTZnV+RvWj4s1NJwmM69vjgFupjTmreXq85qIeBilCf+9gN5e/N3AwohYAkw1vQDXdR1oJpn5gI19PSK2G3eW2RqafQWlz9jg73N3oPcFplrHxUovdDyIMlNsw/P8KaDXBaaIGN62/zL0eGfKJI2xscA0mvsMXWk4o5l21luZeUbzcN/MfGqnYVqI0rV/CeVgbbeIODwzz+w41kyOBf5XjasOAAdn5t8CRMQ7gK91nGc2XhMRz6OsDraUcvvQXbqNNLIap/jvWclKPRtzOvAuKjvxbmwfEXtm5m+b3jq9btw8pOYFBM4GTqOsmnQF5e/1YZ0mGs1PM/PHXYfYDOcCF1Hn3+eBwJ2y50ufb0xEnEk5eToI2IbSEuJ/dxpqNEcCb6Hcfvti1q8W2ncnAd+kFDi+3nxeheZWymOBRZRCzVrKQjx99r4NPp+irjYWtY6L1V3oyMw3NQ9fwy0L7WsjYlH2eyXzMzbx9SnKrXJjY4FpNNVdaWgsjoi/pJxsD5ZB7f3U/iGfAH7N+oGphitqNa86sCgitmkOjgdvvLV4BGWW4UnA24B3dxtnVpZk5sURcXxmZiX7zJURcZtBs8zK/DYzP9B1iM30SuArEXE9ZcniP7kNuqeqXUAA2IUya/bozDw8Ih7edaARrWz6Xn2H9dv8uG4jjeSGzKypp9uwH1MuitXQ3HtDd8jMs6IsZ/2AiPiPrgONomlkW92Kcpl5bkRcBPwF8LOabtWmzOS8P+VWs3Mps1N7bXj2VaVtLGodF2u90AHlfX9vSu/lfSnjeq9XMs/M+3adYcAC02hqvdIQ3LJh8BTQ96mJw7bJzMO6DjFLNa868GHgyxHxNcpylh/uOM9sXJ2ZayJix2YlnKVdB5qFGqf43wf4RUT8gTKuTGVmLaua/E/TrHm42NHrac8Dmfl54I4RsVtFB8bwpwsI1FS83o7SuPmbEbE/sEPHeUb16a4DbKbLmybTw3+ftTQQ/jPg5xExOKGaqmim53ZRVhu+IiJ2Y32rhV6KiN9Q9o/FlFnLv6SsiHdVZt6hw2gjqfxW7T9k5m+a460vRkTvb9UaqLiNRa3jYq0XOqCilcwHIuKX/Onx1QLKe9GfjTOLBaYRbHilAZjsONJIMvNuXWdo6XsR8TfccmDq+wys4VUHfkBFqw5k5lsj4rOU5senZublXWeahV9FxLOAyaaPRE1LoVY3xT8z+z4dfjqLKcX3aD6v4b76r7LBQUNpRwc1nMBmWZJ7L9bfUlFLMRJKcenxwBsoq4Q9r9s4Izub0oi/tm1+d265+l0tt7BAv3tzzuTNlFXvXgT8H3q+Mmhm7gUQEWcBL2+W4r4N9VwAPp16b9W+LiIeT7mr4zmUi++1qLWNRa3jYq0XOqCulcwH7tB1gAELTNOIiNtT3myvAd6Umf8VEY+gNM76i07DTaNZDeSfMvOVEfElyhS/KeCRmZndppuV+wGPGfq8tzOwImK4MnwB6xuR7wXUsorM7YBHUq6o7R8Rh9TQRLDxHOB2lOnaz6CiKfOZ+atmIYF9gcsz82czPadrzWom7wVuRTmRvTwzP9ltqtFk5jObhp93Ar5PuQ237wb78/bAqi6DbI6IOJWyEugE5b/hp/S/zxgAmfmVZkbkEymrmNZw1RjgfMrsq9tSenX9GvhQp4lG0NyetTNwe8rtFSu6zjQLNwFvolmwAfgedTSEJzPPj4gfUv5Oz8/M73SdaUR3HKwcm5m/3uBYrM9qvlX7CMr758uo5KLYkCrbWFQ8Lp5NOSa/QdMklgAAIABJREFUHfAFoKYL19+KiA+xfiXz70TEk4HfdRtrWi/JzDdGxAf505lMh48ziAWm6X2IcpXh9sBrI+JGSuPDZ3SYaRRvBwZLWN5MWYXtgcBrKVeoqpCZf9V1hln4MOubBtI8/gtK5/7FXYWapVqbCEI5cf0bSnHsOuAelIa8vRcRxwMPB/4LOCYizs3Mt3ccaybvBJ5JWY3lVMqU4SoKTBHxAkrz2mWU8X0f4AVdZppJZv4cICIuzcz7dJ1nM9yZ0nT/fZSl0M/rNs7oKlxFdmDnzLxfRHwA+Efg810HGkVE/B1l9sxC4CMRMZWZr+841qhqXLABgIj4P5T9+uvAP0XERzLzLR3HGsUVzcnUZZSTwEs6zjOqam/VBs7LzMES7i/qNMnsVdnGouJx8b2UixsPoazMdiblQnbvZebzorKVzIHPNh9P7zIElJUitGk3Z+b7m6XOn0C5Enj3zLy041wz+fPMfEfzeCoz12TmhfRo6tx0IuJdzcevRsRXhv91nW1TMvPemXlQZt6bMvPqS8BvqWSJ4sYNmXl8Zr5v8K/rQLPwCcpKFXdu/u3XbZxZeSRlBb9jKPtOFbOvmsaNU5l5FXBD13lm4SnAg4Frm3HybzrOMxuTEXFSRDw3Io6MiFqafN+QmVPARDPlvPfLWg+5T2YeDqxoVmj9864Djeim5uNEZq6inm1+LKUo8wdKr5QaVjIbWJKZF1PGxaSOfnoDfw/cNzOPBv6Wei5GHgn8G2Vm5L9l5ks6zjOqwa3aT6Fs+yre9xvXRsTjImK/iNi3mRFci2dRZtA+hFJcOqLbOCOrdVy8U2a+ClidmRdQLrr3WkQ8uvl4JKVv5DXA3hFxZBa9XcQhM7/VPPwaZVvvMfRvrJzBNL3hpQivBp7RHCT33fDS1c8celzLlMrXNR9resMFICL+ilI5vgi4Z2au6TbRrNTaRBDqbAg/8HtKk9IVlJPAq7qNM5LlTe+FiWafubbrQLMwuLAyGMtr+hsdFNnHfrDQ0jcj4sXAryPi36jr2KPWVWTPj4hXAt9tFm64vutAI7q5WbBhKjOnIqKKnpeNGhdsGFiQmTcBZObaiOjzUtzDJpp/vwVuFRGHZ+aZHWfapIhY2Gzn53SdpYXdueXKcb3vBxQR98jMb1By/qj5B/AAet6DsVHruLiwWTRgqul51ef+RQODBQ726jRFO5+gFCOHV2E/Z5wBajrI68JwMem6SopLADdGxJ6Z+dvM/B+AiNiT9Vc0++6Fgwa2G9HL1QciYhtKtkOBIzLzyx1H2hy1NhGEChvCDzVuvjXwo4j4LrA/pZjdd8+m7O9/oNyO+Oxu48zKOZQZhrePiE8DH+84z8iaZtkPpsyi+TqV9APKzOMiYgfKCfcjKNlrseEqsm/rNs7IrgC+2JyMfAqoZanoS5q+F3tHxHsptw7XoroFG4ZcGhHnUW4xuy/Q95n6A5+g3IIzfCLVZ2dSjhOT9VkX0OMeoxtxMvDxQUGyEg+i3KI1uL150NKi94t8NGodF48Hvkwp1nyNWxYme6mZqQywb2Y+tdMwm29RZnY6SWPB1FTfx+LuND2X/kAZhJZRTvwGy/31dkWW5gTknynTKH9MedN6BaXx95e6zDaKiHj6pr439IffKxHxdUqvrjezwUyxzHx/J6G2Ik1xZnjluKnM7PXBWrOIwEYNeu70zXRT4Sua7UZE3Bm4K5CZ+b2u84xqg35A7wIenpm97QfUrOi40YOMWpYqbq6+rqNZRXawqkzfRcSXMvPgrnNsjoh4OHA34Ac1LB4QEZu8/bCCCx0LKbeXX0OZSXtnymygx2Rm72+Ti4gvZub9u86xNYmIf6b0jbyIsuLwDzqONCsR8ZesX1Tlyq7zjKq2cXFYROwO/KGiiRo0BffXUi7k3Qz9H88HIuKdlB6Awxfdxzp7zBlM08jMWnoW3EJmXhRlyfbnUqbh/gI4aujezF4bFJEiYgLYhTLz6gjKlZ++GizFuWPzb6CmwfT/UWbTXEW5AruaslrC8zKz1w1iK2sIPzDdFPm+nnxvqi9X72e7baLY8dcR8ZRaih2UfkAHR8QXMvOMiOj7DIlqDt6n8TnKhZpTaikuNaYi4mOUmRKDg+Pe7ucb6Sd2HXCbpu9F3y/SDGajDGZEQD2zUs6mHGPtCXyM8jf7AeAd0z2pR6qavTw0c/lPZGYVPTsz82URcRxlNurrmzskTgHO6vuspoh4BSX3fwHHNs3se7uoSq3j4qb284ioZj+n9Ej7xNDnNYznA/fnln26poCxrrBpgWmeaq7KP6/rHC2dDfwr8HeU6f7vBx7WaaJNyMwTus4wB74EvCYzMyLuBLyaUr0/i56vQBQRDwGOoawiB0Bm9rrgQTkpqUpmPmD484hY3Hy9hj5G86HYUVU/oKYIthulofpNEXEopc/Y2R1HG1lmHhAR9wCe2RQpP5aZb+g61whO6zrALFXb7yIza2n8vjF3ysx7NLOwvknpSfeAimal3A94zNDnfT8JHNy2sh1lVcqBZR1k2SwRsQB4KGXZ89tTxvPdgfMps+H67FGUCzU3N7P3LqWsvN1XtY6L1fXQ3VBm3q3rDJsrM/+y6wwWmNRnuwD/DrwwMw9vpodqy9m7WfmGzPxJRPxZZv44Inp9RapxEuXe7l/O9IN9MTRTbyFwT2AR5ap3n2+/3ZfSY+R/KEvNf4xS7DgmMz/YZbaZzIdiB6X/zzeopB9QM8PqRcCqiLgE2IcyK/LBQE1N+f8b+CrlNrn7dpxlWhHxD5n5gWZ/X1DLLQkbXqSJiIOA7TLzi90kGl1E7EFpQ/A/wIWU45ZFwHMy87PTPLUProcy66fpJfnQzFzecaaRVTh7eQ3ldv4zgadR3vO3ocwOPrDDXLPxI0qvrn8BvpuZNwBExP6dphpNVYuqVDwu/gp4HOUOmqQcqywCXtNhppFExE6UljKvjIgvUdoSTAGPHJwj9V1EPIoyyWRwXrF7Zt59+mfNLQtMsxARu2TmNV3n2IpsRzk5+WbzxrVDx3nmu98099Z/BTgI+G0zM6i3082H/CIzL+o6xGY6n7Kv35ayAuSvgQ91mmjTTgNOoFxt/RRwAOUA7TNArwtMNRc7ImJ4NspPgJ9TDngezJhXBpmlZwL7UcbuHwC3a4p7/9ltrNE12/5elILqcwYLZ/TYoZRbnAD+g57fujoQEY+jnGT/irKtnwpcExHfyMxjOw03sw8C51Iuin0JeDLlYseZQN8LTMN+V1NxCSAiHgs8n/UnUrv24er9NO4FvJBy+83gFqebqWA/iYgDgFMp7/sPBj4KXBsRL87MCzLzmdO+QIdqXVSl4nHx3ZT3/R0p2/yzlDHxNPr/nvR24LvN45spfekeSLmjo/d96RonUO7qOBL4T8pMz7GywDSCiLgfZdWEbSPiXODnmXlqx7FmFBHvyswXDH1+ZmYe3mWmWXoR8HjgDZRBtfe3/FW+zQ+nDEaPAL5PudLw16xfdaPPft+srPFt1vdh6O396RvYOTPvFxEfAP6Rft+OeNOgH1dEvDAzf9Q8XjH903qh5mLHPShXXc8C/o1yIlWDlU1PjmsjIof6c9QwK3LgY8Cza5kJxC33jVr2EyirDe0L7Ezpp3N7YJI6VjNbkpmnAETEEzPz4uZxDePiXSLiHMq+MngMQGYe2l2skb2K8r75XOALwEO6jTO9zPw48PGIeGRmfnrGJ/TLG4CnZ+b1EfF6yrHijymz9i7oNNnMNrxla9Azre9qHRfvlpkHNbfyX5GZrwaIiBpunfvzzHxW83iqaQFxYUS8psNMs/WHzLwkIp6dmR+IiKeNO4AFptG8DjiYUq0/kbLkYm8LTBHxfMqgtCwiDqEMogso0/yrkZlfiYilwBMp03F7u0pVzds8Iu6Rmd+g7ONXsr5XzcGZWcPyrQA/az7u2WmKzTM42Z7IzFWDvkY9NbwKxeqhx9uMO8hmqLbYkZl/GRF3pcy0ehlllsRZmdn7pecjYhHN/jH0eNtOQ83Oz4HLImJvyupaz+75ghlTm3jcd5OZeT1wfURcnpkrACKihv5uw2PIDUOPa9jPnzT0+L2dpdh8V2fmVyPiuZl5ekT0dhYNQJSl5qeax7eYOVtBQW+bzPxeRNyGcrzyLYCIGOvqVJsjm5V5I+KOwP+lWUUOeEmXuUZQ67i4GiAz1zULCA3UcKw4PG4Pjyc1XDAYWBsRfwtsFxEPooNeXhaYRnNzZi6PiKnMXB0RN8z8lO5k5snAyRFxXGae2HWezRW3XJL7RuDl9HQ2TeXb/EGUvi4bbtspygpKvZeZJzT3HN+lfJqfmOk5PXJ+RLwS+G4zjfu6rgNNY2NXuxdQppr3Xs3Fjsy8nFJcIiIOBt4YEbfLzHt1m2xat6f0XxhcKR48rqnw8Q7gHzLzuxFxd8ps5r/tONN0ap2RMnyS2uvm9Rtxp+Z4ZcEGj/vcbBqAzKxhBud01jTj4aKIeBj9b4pcYxFvYFAceDhwEfxxoY8dN/mM/jkVeDOlFcTBlFu2+jzrrdZxcdeIeChlHFw2/LjbWCO5MSL2zMzfDm6Jj7JSYu8vRg55HmXG/omUmYdjX4jKAtNoftysHrNrRLyMckWzBidHxJspJ90/BF5X2f31tS3JDRVu88x8U/Pwu8AZNfYZa/4+96FMG356RNw3M1/ccaxpbdBXZ1vKgcSvgbXdJBrJpq5213DQXH2xo2k++b8pxeAJyi1zvVX56loD22TmdwEy8zsVLHpQ64yU+0TEr1l/QjJ4vEu3sUbyqk08fvW4g2wtImLnzLwOOIpyIvV6yt0Gr5r2iR0bFPQiYkfgpZSC2KeA73WZa0QXRcSXgdsBj42y2vB7gA93G2tW1mXmhc3jCyLi6E7TzKzWcfFbrL9o/e0NHvfdPwOfbG4D/THlQsErgH/qNNXsnJiZg9viHtdFAAtMo3ku8A+Uk9cVwBHdxhnZqZRbKc6hNPg6nf4vITqsqiW5GzVv84XA5yMigVMqWKVi2MGZ+bcAEfEO4Gsd5xnFcF+dr1BBP4Car3bXXOyIiCdSDtD+jNIU/rkVNJueL9ZGxKMpt2kfTFkFqrdq/RvNzO26zrC5BiuCaqwuoPw9Hp+Zg4uPf9dhntk6jdK76H6U48ZT6aAR72xk5psi4t+B32fm1YMCU2Z+rOtsM2lm0ABMRsRLKMfpB1IW+uitWsfFPjd8n0lmXhQRz6Kc+z+HshLeUT2/NX5DE83iWD+kmQWXmWO9ldUC02gWA58EPk4pLu1FHbOYds3MdzaPvxMRT+g0zeydBHyT9Utyn9RtnJFUu80z8y3AWyLinsA/RcQpmblP17lGtCgitmkG0CpmpdTcV0dj92FKb7TvAncDTowIoPe3Pc0HzwbeQrmqeQX1XGCS5rNVEfFfwD4R8VfD38jMgzrKNBu7ZuZpEXFY02+09xeYADLzB0OPf0JZ1bQGgxk0yyltN+7cfN7rCwbqRmZ+jwoWlprGvtxyZcopygXKsbHANJqzKVcbnkA5wHw/8LBOE41m+8F9pBGxB5X0GhnIzHMj4iLgL4CfZeYfus40gmq3eURsT7kC+HRKkabXU8038GHgyxHxNeBvqGTKdqV9dTR+D+g6wNYmIhY2jeB/Q1nFtIrCtbSVeARwG8oS7lWeCEbEfs3Hvaljhn61hmfURMS+wJ0oqyX/urNQ0haSmXeNiG0oPa+u7mIVXAtMo9mFMh336Mw8PCIe3nWgEb0S+EpEXE9pwndkx3lGEhHHZ+brh1fbaL4+lZlP7TDaKKrc5o3vAedRpoJWNYsmM98aEZ+l9GI4tSncVKGmvjoRscmiY2a+dpxZ2mi2+e2Bn2bmZNd5ZlLrbU8DEXE4ZZGGxTSFmszsewPkM4FDKb26Bu9DgyJTb7M3t5NvC/wb8GRK5m2AT2fmA7vMNhsRsUst/QCb/XujMvPMcWbZWjSzlX8VEY+h3G6+ZOjbNdxh8ELgXykzac6j0iJZbSLiBZTjrWWUFhb7AC/oMtN81lw4HbYW+GVm/qqLPFuLiHgs8HZKW5/tI+I5mXnxODNYYBrNdsCLgG829zTu0HGekWTm54E7RsRulcz+GfhsRBxCmSk2uGd0L8pqPr1W8TYHuPPQ0u1V2ETBY/+IOKTvBY9K++oM+hU8HvgZ8GXgnox56m0bzW2rr6C8/32kKVy/vuNY891LgccAv+w6yKgGtx5W2LvrWcBxwJ6U/gtQ3kcv6SzRLETE/Sgr9W0bEecCP8/MUzuONZPB7Tb3AlZSeurdE1hEKVRqyzkPuDXrx5Ypyu3mvdT0dvlQZn4fuHfXebZCTwHuC1ycme9obrPsrYj4ApuYOVvJBYPXU96Lvgn8NWVF8CVNC47/22myGUTEuzLzBUOfn5mZm7yY0DMnAAc1d9PsBXyC0nNsbCwwjeZFlBOqN1CmyldxpSEiHgIcQ/ljBqoZkF5MWQ5yT+BjlBPZtzf/eq3ibQ7wy4iYolztXgb8JDPvPMNzulZzwaO6vjqZ+T6ApoA3GAfPjojPdxhrto6hnAh+hnLw843mo7acn9Y2K3IgIn7ILY+V1lJOZl/Sx6afmXkKcEpEPCszT5vxCf3zOkrz5o9Sllj+MqUBcm9l5ssBIuIzmfmowdcj4nPdpdpq7FlJz6WBvwSOa/aN9w1WqNTYbNN8HBRt+t6D6bnNx1dT+gB/mVIoeHRniWZnJfCXmbk6IhZTxvVDKEXgXhaYIuL5wPGUVfsOocwCXgD8d6fBZufqzPwtQGb+prmrZqwsMI2gacC3FHgi5SrgD2d4Sl+cBBxNRVeNG3fKzHtExHaUqvca4AHDzQV7rNZtTmbuNXgcEbcHXtNdmtFUXvCoua/OrhFxp8z8SZSq2E5dB5qFmzNzTTNzaSoien+L3DywMiIuBL5Dc2Cfmcd1G2lkXwDOpbz335uyouy/Au8E7tNhrpl8LiLOoiyScR7wvcz8eseZRnFzZi5v/j5XR8QNXQeahVtHxK0y89qI2BXYtetAW4ErI+I2mVlFL53MPDoi/omydPiJEXErSo/XD2Xmym7TbRXOoRQ3bh8Rn6ZcxO6tzEyAiNgjMz/SfPljEfGPHcaajd0zczVAc9y1W2be2PQH6qXMPBk4OSKOy8wTu86zma5r9u8vUm4h3j4iXguQmWPpr2uBaQQRcSKwN2Ua9I2UXhJ/P+2T+uEXmXlR1yE2w/UAQ4PQQzNzeceZRlXrNr+FzPz5oAFlJaoreFTeV+do4EMRcRvgt8DTOs4zG5dExDnA3hHxXqDXU+TniU93HaCFfYfG9C9GxCsz8z8i4tWdpprZ+4C3UvoCfgk4gzJzr+9+HBFvpIzpL6OOfjoDbwC+0Vwt3olyu6K2rPsCv4iIq5rPpzLzNl0GmklmrqUUfc9rbl95IWUp9N06DTaPDfVJu55SZNoBWA1c11moWYqIZwOXAQdRZgbV4OMRcSkl9z2Bf4+Io4Aa+qSeHBFvBu5CmVjyuorORYePuT67yZ/agiwwjeY+mXlwRHwhM89o/jhq8PvmBOrbrL9q/P5uI83a7yr6g4aKt/kGTdVvw/rbz2rwQkrB47aUVZ9qKnhUJzMvbW4HHTTKXtF1plFl5nHNQg3fBq7MzAu6zrQVOBt4DrA/5UDtPd3GmZUbI+K5lL46BwFrIuJ/0f/jpyWZeXGzaEZGxOquA43ouZRZYpdSGpQe0W2c0WXmR4GPRsStgWuaQoK2oMzcp+sMmyMillCaTR9OWRDmJd0mmvc2bPewAHgmpVBTQ5+0p1LatRxCaa3w5G7jjCYzXxcRn6Bs/9My8/KI2B14b8fRRnEq5eLMOcD9KE3hH9tloFn4CKX4/sfFDzLz/HEG6PsBUl8sbN4MppoVWmpZTvRnzcc9m4+1LLF8l2aGwYKhx0B/e9MMqXWbwy0H/NWU3jS1uHdmjrWB3dYsIv6Oco96NY2yN7K61sWURsIXV9QnrVbvA64FPk85UPsA5cSqBodSmsI/jrKs9dMoPTD6PjtlTUQ8jLKP34syptdgHfAt4Irm83vR46bNw5oVk95NGWfOjYgaGpRXKTax2jBlBlNvVxuOiPsDTwfuT2m8+081rXpbq0GfNICI+AtKseCTlNnYvdc0a/4s5QLN16nkPDQibgc8nFLoiBoW4Bmya2a+s3n8nWaBmFp8HvgR5bgLyhhpgamHTqL0Atqd8od9UrdxphcRezdLQH6o6yyb6UlDj2uocs+HbQ7l5OlhlJVvFgAPBN7YaaLRPTIiTsrMKt5054Fjqa9R9vDqWknZx9dRZkpoy9onMwfLFX88Ir7SaZpZyMyrI+KfWX8lcCIzL+wy04iOBN5Cue3mxUAtM6/Pp2T+JeVvtNergm3g9VTWoLxir4iIi7jlMeIC4N87yjOqEygF9+dmZt8bTM87TQPno4FjMvOTXecZVcWtWs4FLqLCvrSUvkV7NsW9PSgXDmpxfWZ2eieHBaYRZOa5zRvZXwA/q2D5+WObf+9j/ZWdwYFa76/UV9qbpupt3jiPcnXkbpSr3bXc4w2l+PvriPgZZZtPVbayTG2qa5Q9D1bXqtmSiFiamSsjYnsqOlCLiHcDj6DcejsY03s/tjQXPJ7SdY7NsEfFY3fNDcpr8ytKX7E3D88Si4hvdhdpZpl5v64zbI2a9gn/CiwHDszMazqONFu1tmq5ITOP7zrEZnol8JWmp96OlIs2tfh8RPwD62cCk5ljvbBngWkEEfGvDE3BjQgys7fT4zPz2IjYCXiUq1KMx3zZ5pn53Ig4jdIDo5arxlDPkq3zRXWNsiPiHzLzA8A+zdXAP6poRbNavQP4bkRcTunD9Jpu48zKgZSVTW/uOshsRMRxlL4uK2kKY31vftyoalWwDdTcoLw2v6QUUM+LiAOAf2z+RmtqS6DxuZwy8+diSvPmP36jgtYbUG+rlssj4incsi9tFSuxZ+bngTs2K9/1fWLJhu5NKYoN3yJngamH/q35uAA4gNIAubeaKaAvBm6KiBdkZicd5Lcm82WbN29gE5TBaIeO48zGIuCJrL+97zaUpsLaAiptlD2Yon3lBl/3hGQLy8yzI+JC4I6UWcBXd51pFn5MuT2utgsHTwJuU+EFj+pWBRsy3KB8snmsLSQzfx8RDwTeSVnh8e+6zjSqiIjBEvQai8d3HaClqlq1DLl782+gmrs6moVsjqHMwAagon6dO2fmg7oMYIFpBBsUCz4TEZ/rLMxongoMlmr/IB0tUbiVmQ/b/GTKvemfo5yM19Sb5kzgAuA+wK+pqzhWjYhYSFlF45rM/AxlPNwzIj6cmb1e1WRoHP848BBgaYdxtioRcXfK9PIlzee9ngW8gT8Dfh4RP24+r+X22/8BVnUdYrYqXhXsAOC6zHxv8/n2lJ5ML+002Py1ACAzbwKeFxHPpPS8qsWplOMVjUGlrTf+aMNWLZQCdu9l5gO6ztDCSZRzohr7R32vaUo+PHPsp+MMYIFpBBHx0KFP9wL26CrLiFZn5o3AHyJiu67DbCWq3+bNEssARMS5mXl9l3lmaWVmvjEi9snMZ0XEJV0HmqfOBm4C9oqIu1AOdE6l3AJVi49RTr5/13zuDKYt73TgXdR5oFZDI9WN2Q74fkR8n/UHmL2/FSQiLt7gS2v/f3v3HWVZWWZ//FtNFAmSRmgRlLRtERcqIhIUUAlKEMcBQQcBBQwMKjLiqCggyggoQX+SpAFBGBBHBhBU6EaiuiSoILqVqAiCkrNA1++P91y43XRX3e7qqveeqv1Zq9Y991TobVlU3fOc930eys/NIbZvH/tEw5P0TeB1wFKSDqFM7zmHMsknRseXup/YPrnZgvuVSnnm1mOSjqQMnJgBYPuEupGi30haBfg08ADwNdu/krQV8E1KsakvSTrH9nsl3c0sfWlbtCL1z7YvqR1iHq3bvHUMUgZQjJkUmHrT/QLzSfp/PHG3gdoBJqBWfc8lvRL4BmWL2QbA2cCjkj5g+xdVw/VuQNIKwOKSXgwsUzvQOLWa7XWbIuq1wFPAprZ/XznX3Bho0eqZ8eJvTf+rNmrr9tsTKBclbXMHZSXKFZQ+EtsAP6cUsqsu+R/ChrZfL2kpYBplm/ketqdVzjVu2X5Bj0jbvwI2n82H96NOP5R+v2EddZ1JuUGzCnCwpH8C7wF2rZhpWLbf2zyuWDvLCNzb9BjtXgXUiiKw7Y0lLU75ubmtxlb5FJh6cyAz3+V+WtJCtp+ulGc4azUNeAe6joF23MFsqTZ/z48CTrL9jKSvA/9OmTzwPWCTmsHmwkHA9sDplFU1360bZ9x6GMD2PyVNAja3fX/lTD3pWll4q6Q3A9fx/IuGf1YLNjHc3jQ97n6h1u9bzTvauv12P9tt3IKzsu3dmmNLer/tkyTtUjXV0B4CsP2QpCWALfp1tVX0B9sHSXo78EpKT51WND6OMTejU9SQdDtwGbCO7SdrhhqOpDOZw+rwFlwTddzWPK7QPLZmtbukd1OuixYAvi/pn7YPHcsMKTD15nxgJUpz2DUpzT4XlPQZ26dXTTZ7O3QdH1ctxcTS5u/5IrbPk7Qs8PJmcgJNAaEVmruZnTua/1IzywRyT1uKSw1TXiAMUJpMdo4HKc2nY/QsQulR1xndM0jp9dYGbd1+e7+kTzDzFpw2fM8XlrQFZdXSBsBCklalv3umdV943JXiUgynmWS6EjCFMt3sv2jvdtwYPd0LGe4DdrXdhkJH266DniNpJdt3UlaPtdV/Am8CLgK+TJn0nAJTH7oN2Mz2PyQtDXwH2IPyf1zfFZja3syujVr+Pe9s6XsbZYRrp7i0VLVEc0nSl4C96fpj3KJ93m3S5pV629n+be0QE9SXZnne76uAu3W23y7Rsu239zHzBJ+2FPV2BQ6nrKy9gdKSYH1g34qZhrNaUzAYoIy1/mrnHbY/Vy9W9LGNbL9F0qW2T5X00dqBoi91F5Meaklx6blrIkk72T6zOV4RmEo57QVXAAAZzElEQVRZhdXP9m3ejmeW/lG0ZAIe8KztJyUN2p4hacybwqfA1JuX2v4HgO0HJL3U9v2SZtQOFjEf3NgUCtYF9mj+CBxKU2xqia0pWytaNzWpZdq8Uu8YSStRXtz8GLjY9oOVM00UF9CuVcDdDqKMuD4f+DNwct04vbG9m6Q1gdUohZq7Kkfqie1bKD1GgHJRYvuMIT6lH3xxDscRc7KgpEWBQUkLAM/WDhR9aSNJd1EKHMt0HbelWfYukh6hrGL+Ki+82dR3bO8raUngXTV6F80nP5d0GvAySd+itIQYUykw9ea6Zj/pzylNJ38taUeen0IU0Wb7AVsCX7V9o6S1gd8Ax9SNNVfuZealxDEK2rxSz/Ymkhah/A7fBNhTEsDltr9cM9sE0KpVwPDc2PmTgPWA5YBjKauCXtBcuB9J2pvSl24ZSpPYNSirPPuapIOBj1Km4C1G6U2zVtVQw7B9au0M0TpHUgZlLE/pwXRk3TjRj2y3cip1l/dQbs4sSlm19/fKeYYl6eOU66JnJO1t+ye1M/VK0lm2d7S9v6StKf10/2D7h2OdJQWmHtj+mKRtKXulT7f9I5Urk/MrR4sYsWbJ7UVdz2+g3PHue12NBF8KXN+MKW7NSO4YW7afknQt5aJ7CeD1lPHiMbrauAr4K8AHbT/djJ7fCriZ8rvyvKrJevM+YGNguu2jJf2qdqAebUlZ7XYkZbrpt+vGiZj/bH9f0iWUUfO3dX4/RowHszT5foJyo+ZoSW14bf5+Sr/IJYHTgNYUmCgFawBsX0BZPV5FCkw96JpecjewrKRdbGdKVUR9x1P+EJxMaZT5FuDvlK04Ec+RtC/wLuAlwCWUP7yfbUkfoLZr4yrgSbZ/K2ky8GLb1wH0eVGsW2dIQ+dF/lO1gsyl+5pC8BK2b5bUz829I+aJpHWAPSkrO2guvHevmypivum0UFgaeAA4omKWufVkM1n4H13Th9ui0w/wBca6H2AKTL2Z0jwOUBpm3k/GoEf0g02A1wC72H5c0h2Uu97/AvysYq7oP1+k9F46FLgshaWxM8sq4NNsX9iCVcCdAs2WlIIkzRbLJaolmjtnULbzrSLpQuDcynl6daek3YHHJP035S5yK0haAtgfWBH4EfBb2zfXTRV96hTgW8BfKueIFpG0tO0HaucYTleT7yttb1Q7zwgMDP8hfeVxyuTY6gYGB1vRkL5vSBoALrD9rtpZIuaHpsHkAsD/ADtSfqFOAi603dcTEyT9Eli/e7KGpIWAq22/sV6y6DfNz8XGwDspK93upmx3utD2n2tmG68kbW37Akl7zvo+2yfUyNQrSfsD2wIvbx4fofRhutT2mI77nVeSplD6F7nZ+tz3mgmmK1Hueu8KTLN9U9VQPZL0fcrvlN0ohaZDbb+1bqroR5J+bHvL2jmiHSS9Ffh/lNfq3wfusH1S3VTDk3QeMI1S9JgBYLuvp5lKuoeSeYAyNW5a5339vr2vmUq5ae0ckBVMPZllidyKwCtrZYkYBbsDnwNWoDRUhfKH4IpqiXr32KxjW5ueKY/UChT9qVmxNL15Q9KWlJ/7zou2mP+WbR5XrJpiHtj+WvPi+F7b90laDTi2RrPMeSFpVeAQyhbiG5qJfW1YLbEc8GnKtMHfUQrBbbGs7amSPmD76uaGZMTs3C7ps8D1PN83sq8vvKOqL1NujP2AMo3tKsoQin53H2XnzzrN80Gg33/O2zwt+draATpSYOqNKf9RDFCalR1WN07E/GP7ROBESbvbnlo7z1x6XNKqtm/tnGgurLI0M2YiaV3KCqaNgVdRJiWeCnygZq7xrGu61tLACW1ZidJh+/ddx7cAt1SMM7dOorxWuZpyYTIVeEfVRL05CzibkndDSpPVrasmmguSXtU8rkRGz8ecLUIp/qp53oYL76hnRjMYY9D2k225iWp7t+7nkvr+ZlPLpyXvVztDRwpMvdnB9nMTWJqlihHjzU8lnU6ZQnAOpX/ELytnGs7+wLmSpgG3AisDWwAfrJoq+tHXKNNADgGun3XlW4yqK4HDmh41JwNn2X6icqbx7lnbnemg50v6ZNU0c8H2sc3hbyTtMOQH95dPUH6+p1D+hn6sbpzoV7NeeEcM42ZJh1IGTX0WuKN2oF5IOojye3BhYDHKLom1qoaKMZEC0xAkbQy8GviUpG80pycBe1MaC0eMJ8cDXwcOoDSHPRVYv2qiYdj+XfPf6XbAZOA64GDbrbi7E2PH9ttqZ5iobJ8DnNPcvTwSOIoyzS/mM0mbN4ePSfoM5Xf5evT3xL5uf5D0fuBS4A3AfZLWBLD9xyE/s7Kmz9Wba+eI/iXptc10yrt5fmfEMsCttqcM/dkxgX0E+DDlZs2jwB514/RsK0pPvSMpA3i+XTdOjJUUmIb2AKUvzSI830NiBvCZaokiRs+itqdL+oJtS3qydqBe2H6ITHWM6FuSVqasKvxXShF4q7qJxrWdmsf7KStpOhetT9WJM9de1bx9uOvc8ZSL8b4cOtFVLHgB25PHOE70t+0pq8Of2yokaRXgwGqJom913TCAskq/0w5iE9qxpfI+209JWsL2zZIWqx0oxkYKTEOwfSNwY7Pn9eDaeSJG2VOStgAWkLQ+0IoCU0T0vR8A3wE2zurC0TWnrTdt6H0B0C8TcOZGp1ggaQXbf6udJ/rab2Y9YfuOTu+uiFl0bhh0VrvR9bwNBaY7Je1OWVH738CStQPF2EiBqTebSPqK7TRsjPFsT+AIyhSf/YCP1o0TEePEeykviJeWtDSA7T/XjTS+tbX3haRDgA/RtSKoRauAzpH0d0qD9Qttz6gdKPrOUgCSzuT5n/EVac8W1hhDnRsGkvYDTrX998qR5tZelC1y3wd2Bd5XNU2MmRSYerM8cJek2yh/EAZtb1A5U8R8ZftO8ss/Iua//6H87ZwEvBL4E7BR1UTjX1t7X2wNvMJ2W7b0Pcf2RpKmALsDX2iGT5zUPeU0JrauyZpnUdpwQFktfk2dRNESj1IG2txNKWD/uCWDSpYDPg2sCfwOuLtunBgrKTD1pjUjciPmlaTPUfqLPU5ZijvYojvHEdGnbD/X+FjSS4DjKsaZKNra++J6YFHa0zNqVndR+qS8gTIM5mhJ19v+Yt1Y0Wf2s50ie/TE9nHAcZLWAj4PHC9pKnCU7QfrphvSWcDZwFRgQ+A0ck09IaTA1JtnKXcBX01ZZv6punEiRsUOwGTbj9cOEhHj1kPA6rVDTADdvS8OpT29L24E7pb0N56/0bFq5Uw9kXQ2pah0OvAB23c1568BUmCKbvdL+gRgyvAgbLehp05U0NyYeR+wC/Ag8AnKNfz/AW+tGG1Yto9tDn8jaYeqYWLMpMDUmxOBYynjfjehLE/MyOsYb24HnqgdIiLGF0k/5/kmpcsDl9RNNCHsBbyc9vW+2JGyjbKf78rPyfm2n7uAkiTbJttB44XuA9Zp3qA9TZujjl9RCtc72v5L56Skdeb8KX3hD5LeD1xKWdV5n6Q1AWz/sWqyGFUpMPVmUdvnNcfnStq3apqI0bEwcIOkG2iaT9reuW6kiBgHuosbT9pOQ9tRJGlPYGoznWpj4GnbN9XO1aM7gMfa1INJ0muAlwGf7lp5tQBwKLCO7UxkjZnY3k3SZMp12GB30SBiNg6zfWLniaR9bB9j+/M1Q/XgVc3bh7vOHU+5xtisSqIYEykw9WZBSWvbvkHS2nRNN4kYR07g+aaTERHzy0LAvzWPA5Im296rcqZxSdKBPL9N6xngL8CnJC1v+8s1s/Xo5cAtkjqNsdswVGVpShH1pUDnpswM2tNYPcaIpFcD37K9GTAduB9YSdIetn9SN130G0k7AdsCm0ratDm9AOV3/DHVgvXI9qbw3Ba/Z20/UjlSjJEUmHqzDzBV0oqUBo57VM4TMRrSdDIiRsN3gfMpW4XuAhavG2dc2wpYvzNhyPbtknYErgbaUGDasXaAuWX7CuAKSa+3fR2ApEm2Z1SOFv3na5RhKgB3295U0uqUVhwpMMWsfkyZvLYsZeUPlOL1LdUS9UDS6yntZNajNPU+DnhQ0n62z68aLsZECkzDkLQkYNtvrJ0lYpSl6WREjIbHbR8qaQ3bu0u6onagcezRWcdX235aUlvuHM+02g2YTOkn1QarNf1FFgEOk3S47SNqh4q+spjta5rjhwCaKY8LVcwUfcr2A8DPJF0GLEF5bb49ZRhCP/sK8MHmb89XgHcCfwIuotxsinFuUu0A/UzS3sBvKJ3vt6idJ2KUdZpO7gjsRHuawkZEfxuQtAKwhKQXA8vUDjSOPSFppqlrzfO2bO3/bvO4EaXZ97IVs8yt/YCLgQ8AKwPb1I0TfehFnQPb7+46/3SFLNEep1K2yh0GbAhMrRtnWJNs/7bpM/Zi29fafpjm5nWMfykwDW1nQMCbgU9WzhIxqmzvRmlKejZwADM35YuImFcHUe66ngbcRrmLGaNjf8owkiMl/Yekw4FzKcWPNnjc9qHAnbZ3pfQ1aotOY/JHmiblS9QME33pr5LW6z7RPP9bpTzRDq+wfTowxfZHgCVrBxpGp76wJc3UWEmLkN+JE0a2yA3tSdv/BP4haeHaYSJGU7Nib3vK6oJTgDWAvWtmioj2s305cHnT6HP15k5mjALbv2smx21H2V52HXBwi5qrdla7Ld7C1W63AtcA/yHpS8AvK+eJ/vMZ4DxJ04CbgVWBt5HVbjG0hSXtANwkaTn6f2XnJZKuogxt2FbSasCxwFl1Y8VYSYGpdwO1A0SMsvcBGwPTbR8t6Ve1A0VEe83S6HMbygvMNPocZbYf4vmtZm3TWe12OmW1W2v+d9jeVdLiwGPANbazKiVmYvu2ZsXSNpQtoNcAB9h+rG6y6HOHUV6j70sZPPWFunGGZvtrks4D7rV9X6fAZPuHtbPF2BgYHGzLtvyxJ+keYBqluLRZcwyA7Z3n9HkRbSTpasre7mm2N5N0ZabKRcS8knQRsH/Ti+EmSm+am4GLbG9YN13E6JA0vRlDHxEx30jayna2mEffywqmoe3QdXxctRQRY+MM4HJgFUkXUvp2RETMq1kbfXZGuKfRZ8xWs7Vsb7qaHtueXC/RPMmK94gYDf9JehhGC6TANATbl9XOEDFWbH+r6QuwVnnqG2pniohWS6PPmFtbAyvbfqJ2kBG4snaAiBiXUryOVsgUuYgAnhtlfQhwIPA5SS+vmygiWq7T6PNA4JtNH4bzSaPPmLN7aenIdkkfAbB9gKQFJR1RO1NEjCufrx0gohfpwRQRAEi6lNJI8GrgLcA+tt9RN1VEtJmkKczc6PO1afQZs5J0JjAIrAksAtzYvGuwLT0vJZ0CLAQcTmmrcKHtg6uGiojWk/QaypCMlwDfA260fUHdVBFzli1yEdHxbFfzwPMlfbJqmohoPdu/7zq+BbilYpzoX63vc9lMkTsZuBbYy/Z3ameKiHHhaGA34ETKZNaLgBSYom9li1zEBCdpc0mbA49J+oyk9SXtA9xTO1tERIx/Tc9LAVc1xzOAKW3qhSnpe8BSwAbAhyT9V+VIETFO2L6ZsqLz78AjtfNEDCUFpojYqXm7H5gC7AW8DniqZqiIiJgYmulxmwMLN6f+Amwu6YB6qebaVbbfY/uXlG3my9cOFBHjwv2S9gJeLOl9wIO1A0UMJVvkIiY427vN7rykFcc6S0RETEjvBNa3PQhg+3ZJO1J6An65arLe3SjpLV3Pz62WJCLGkw8BnwP+AazbPI/oWykwRQQAkg4CPka5g7wY8EdgraqhIiJiIni0U1zqsP20pDZtBflo8zhA+dt5O3B5tTQRMS7YfljSN4BFm1OLU3YdRPSlFJgiomMrYCXgSOAbwLfrxomIiAniCUmr2r61c0LSqpTJcq1ge6fOsaSFgbMrxomIcULStymv0e+mFLAHKb3eIvpSCkwR0XGf7ackLWH7ZkmL1Q4UERETwv7AuZKmAbcCKwNbAB+smmreLQisWjtERIwL6wGr2Z5RO0hEL1JgioiOOyXtTpkmdyiwZO1AEREx/tn+naSNge2AycB1wMG2W7NFTtLdlJUFA5TX10fXTRQR48TNlO1xj9cOEtGLgcHB1qw+johRJGkS8HLKvu5dgWm2b6oaKiIiIiJigpJ0NbAGpdAEMGg7W+Sib2UFU0QgaU9gqu07mrvIT6e4FBER0RtJ6wO7AQtRVjFNtr1F3VQRMQ7sNPyHRPSPSbUDRERdkg4ENqdMjwP4C7C5pAOqhYqIiGiXY4CfAUsBd1BGikdEjNSzwBHAhcBRlAJ2RN9KgSkitgL+zfbjALZvB3YEtq0ZKiIiokUetH0m8LDtAylTWSMi5omkd0jaGTgROA3YEDgVOKlqsIhhpMAUEY/anqkZm+2ngdY0V42IiKhsUNJawGKSBKxQO1BEtNqpwHTgRbbPs/2g7XMp23Aj+lYKTBHxhKSZxik3zzMBICIiojf7AmtRtsqdARxXN05EtNwhwDbAApLWBmge8/o8+lqmyEVMcM0d1zOBacCtwMrAFsAHbV9fM1tERERbSFoDWB24Ebhz1tXBERFzQ9IAsA5wAjAZ+Cuwp+1fVw0WMYQUmCICSUsB21H+eN0BXGA7W+QiIiJ6IGlvYHtgGeAUYA3be1cNFRERMcZSYIqIiIiIGAFJVwIbA9NtbyrpV7bfWDtXRLSbpC8BHwee6ZyzPbleooihLVg7QEREREREy3X6mnbu3D5VK0hEjCtbA6vYfqJ2kIhepMAUERERETEyZwCXA6tIuhA4t3KeiBgf7gWerh0iolfZIhcRERERMUKSpgCvAWz7t7XzRER7STqTsiJyTWARyvCAQQDbO1eMFjGkrGCKiIiIiJgHkr44m9NTJL3b9sFjHigixovj5nA+q0Oir00a/kMiIiIiImI27mne3gysANxCmSS3Ts1QEdF6VwHLApNsX2b7MuAPlIbfEX0rK5giIiIiIuaB7eMBJL3H9sea09+TdHHFWBHRft+jTI5bUdJawG3AScDRVVNFDCMFpoiIiIiIkVlW0mq2b5EkYMnagSKi1Vazva6khYFrKZMpN7X9+8q5IoaULXIRERERESPzCeBMSX+lrDzYtW6ciGi5hwFs/5Nyzb55ikvRBlnBFBERERExMm+2vV7tEBExLt1j+/7aISJ6MTA4mEb0ERERERHzStJ04B22n62dJSLaT9I9wDRgANisOQbA9s61ckUMJyuYIiIiIiJGZnngLkm3UcaID9reoHKmiGivHbqOj6uWImIupcAUERERETEyW9cOEBHjh+3LameImBdp8h0RERERMTLPAkcAFwJHUba1RERETCgpMEVEREREjMyJwGnAhsCpwEl140RERIy9bJGLiIiIiBiZRW2f1xyfK2nfqmkiIiIqyAqmiIiIiIiRWVDS2gDNY8Y0R0TEhJMVTBERERERI7MPMFXSZOCvwJ6V80RERIy5gcHB3GCJiIiIiBgpSYsCg7afqp0lIiJirKXAFBERERExDyStCXwduA04B/ghZXvcp2yfVjNbRETEWEsPpoiIiIiIeTMVOAa4CvgRsD6wOvDxmqEiIiJqSA+miIiIiIh584ztiwEkfcL2n5rjR+vGioiIGHtZwRQRERERMW9mdB0/2XWc19gRETHhZAVTRERERMS8WUvSGcDALMevrhsrIiJi7KXAFBERERExb3boOj5uDscRERETQqbIRURERERERETEiGR/eEREREREREREjEgKTBERERERERERMSIpMEVEREQMQdLFkt7d9fwISY9KWrjr3F2SXiHpQkmT58O/eelIv0ZERETEWEqT74iIiIihTQc2BM5tnr8d+DmwETBd0urAY7ZvB945n/7NTebT14mIiIgYEykwRURERAxtGnAUQLM66SngHGALSvFpY+CnzftvpxSHNgG2BJYBVgV+avtjzcd8ljJ9bAHgJ8D+tp+buiLpmObxl8AJwGa239+cOxB4AngRsAowBVgOON724ZIWAA5v/v0FgFNsHzmfvx8RERERL5AtchERERFDuxZYTdKilKLST5u3LZr3vwW4eDaftwHwr8BrgW0krS1pS+ANwBuB1wEvA97f/Um292ke3wScBbxd0hLNu3cCTmuO30BZTfUGYC9Jrwf2aD739cB6wHaSNh7R//qIiIiIHqTAFBERETEE288CvwDWpSkw2b4NWEzS0sCbKSuZZnW17UdsPw7cSlnN9HbgTZSi1XXN11xriH/7UeBC4D1NoehW23c17z7T9qO2HwLOAzZrvv62kn4N/BJYCVh7RN+AiIiIiB5ki1xERETE8Dp9mNYDPtCcuwTYDviH7Ydn8zlPdh0PAgOUbWtH2f4GgKSXAM8M829PBb5AKVKd0nW++/MmNc8XAD5j+3+br78c8OgwXz8iIiJixLKCKSIiImJ404BdgBtsdwo7FwOfZvbb4+ZkOvDvkhaXtCClcfh7Z/Nxzzbvx/YVlJVIm/J8o3GA7SUt0qyi2oaybW86sIekhSQtDlwJrD8X+SIiIiLmSQpMEREREcOwfSOwLE0z78Z04FXMRYHJ9vnADyjb124Efg2cOpsP/T/gN03fJ4D/BabbfqrrY54ArqBMtDvU9k3AccCfgOuBa4CTbf+s13wRERER82pgcHBw+I+KiIiIiDEnaQBYmFLE+qTt65rzBwLYPrBauIiIiIguWcEUERER0b9WAP4G/KJTXIqIiIjoR1nBFBERERERERERI5IVTBERERERERERMSIpMEVERERERERExIikwBQRERERERERESOSAlNERERERERERIxICkwRERERERERETEiKTBFRERERERERMSI/H8yxRgeSrUhPgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Showing the example of the result of the initial data processing.\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "# import sys\n",
    "# reload(sys)\n",
    "# sys.setdefaultencoding('utf-8')\n",
    "fig, ax = plt.subplots(figsize = (20,10))\n",
    "chart = sns.boxplot(x='variety',y='points', data=df1, ax = ax)\n",
    "plt.title('Distribution of Point Scores by major 24 wine type',size=14) \n",
    "plt.xlabel('Wine type') \n",
    "plt.xticks(rotation = 90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "_cell_guid": "39b287f8-b2a4-4067-8c0d-ba29534dadf8",
    "_uuid": "ddd2b7aa999d43d54da5646563b14a76478eca86"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x10e001ac8>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# For this process, Ordinary Least Square method (OLS) used. \n",
    "from scipy.stats import pearsonr #Pearson correlation coefficient calculator\n",
    "import statsmodels.api as sm\n",
    "# First plot result\n",
    "sns.lmplot(y = 'price', x='points', data=df1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "_cell_guid": "1e5886e1-338e-4127-bc37-1bd94216247e",
    "_uuid": "fed4624c64c2c9d6617c57603545e05665c47860"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.47715940643215621, 0.0)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Pearson correltion between price and point\n",
    "pearsonr(df1.price, df1.points)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "_cell_guid": "6ef7a7db-d43c-441f-b617-4b0ffecf0925",
    "_uuid": "11b775d1b582868391acc1ce032e606626e036c5"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>         <td>points</td>      <th>  R-squared:         </th>  <td>   0.527</td>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th>  <td>   0.527</td>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th>  <td>1.035e+05</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Tue, 24 Jul 2018</td> <th>  Prob (F-statistic):</th>   <td>  0.00</td>   \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>01:03:43</td>     <th>  Log-Likelihood:    </th> <td>-5.1325e+05</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td> 92838</td>      <th>  AIC:               </th>  <td>1.026e+06</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td> 92837</td>      <th>  BIC:               </th>  <td>1.027e+06</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>     1</td>      <th>                     </th>      <td> </td>     \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>      <td> </td>     \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "    <td></td>       <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>price</th> <td>    1.2419</td> <td>    0.004</td> <td>  321.704</td> <td> 0.000</td> <td>    1.234</td> <td>    1.249</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td>117944.587</td> <th>  Durbin-Watson:     </th>   <td>   0.721</td>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th>   <td> 0.000</td>   <th>  Jarque-Bera (JB):  </th> <td>30704930.170</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>            <td>-6.906</td>   <th>  Prob(JB):          </th>   <td>    0.00</td>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>        <td>91.016</td>   <th>  Cond. No.          </th>   <td>    1.00</td>  \n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:                 points   R-squared:                       0.527\n",
       "Model:                            OLS   Adj. R-squared:                  0.527\n",
       "Method:                 Least Squares   F-statistic:                 1.035e+05\n",
       "Date:                Tue, 24 Jul 2018   Prob (F-statistic):               0.00\n",
       "Time:                        01:03:43   Log-Likelihood:            -5.1325e+05\n",
       "No. Observations:               92838   AIC:                         1.026e+06\n",
       "Df Residuals:                   92837   BIC:                         1.027e+06\n",
       "Df Model:                           1                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "==============================================================================\n",
       "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
       "------------------------------------------------------------------------------\n",
       "price          1.2419      0.004    321.704      0.000       1.234       1.249\n",
       "==============================================================================\n",
       "Omnibus:                   117944.587   Durbin-Watson:                   0.721\n",
       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):         30704930.170\n",
       "Skew:                          -6.906   Prob(JB):                         0.00\n",
       "Kurtosis:                      91.016   Cond. No.                         1.00\n",
       "==============================================================================\n",
       "\n",
       "Warnings:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "\"\"\""
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Showing the table for the OLS calculation results\n",
    "sm.OLS(df1.points, df1.price).fit().summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "d03ed1e1-a6ad-43f0-8330-5ae09cedceac",
    "_uuid": "207dab6727a35afb5fad96848fd1d983b773f512"
   },
   "source": [
    "Comment:\n",
    "Unexpectedly, there's not a significant correlation between the cost of wine and its rating (because 0.477 == moderate relationship (usually 0.5 ~ 1.0 == strong relationship)), namely there is an average $1.24 increase for every one point incrase in rating."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "23325d56944a22ca857268d948d50769e78de187"
   },
   "source": [
    "## Application of Simple NLP process"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "67ceeae1cd148baa4073fcc0c6964e62f0a57896"
   },
   "source": [
    "Hypothies 2: Sweeter wine generally get higher points than dry tasted wine."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "86265295-12ae-4be7-98d1-fc092af45e03",
    "_uuid": "3f8bb787151939de524e3ada1285c6f155d6943d",
    "collapsed": true
   },
   "source": [
    "To answer above question, I will try to classify the better wines and worse wines in the dataset. I use 30% of wines with lowest number of points defined as the \"worse\" wines and 30% of wines with the highest points defined as the \"better\" wines."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "_cell_guid": "794bfcbd-1085-45b9-be91-089c59e3c80c",
    "_uuid": "6542c014be1dae349b810cc424e721c009715491"
   },
   "outputs": [],
   "source": [
    "df_sorted = df1.sort_values(by='points', ascending=True)  # sort by points\n",
    "\n",
    "num_of_wines = df_sorted.shape[0]  # number of wines\n",
    "worse = df_sorted.head(int(0.3*num_of_wines))  # 30 % of worst wines listed\n",
    "better = df_sorted.tail(int(0.3*num_of_wines))  # 30 % of best wines listed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "_cell_guid": "64912047-90fe-4c3a-a9ba-e920577ecfa5",
    "_uuid": "4aa85c6d632aed4c9cd9fd2054a3c8f464eaeff2"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Show the data that used in this process\n",
    "\n",
    "plt.hist(df1['points'], color='grey', label='All')\n",
    "plt.hist(worse['points'], color='blue', label='Worse')\n",
    "plt.hist(better['points'], color='red', label='Better')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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1GmNvcIk6cEJxzOTMC0S48hwXXiBfS1yaMhiKoLBmojfxxUtpAUiI6GbNSLyBOu/UaPBCno0CHFjqLB5PbSWkBSIjoZjZqRSxpN5WU8EAaisKZMmbHg8u1Xx7M/ahB5NyqzUmPL6BCUhpzWV7ozPn9Rjh/R/jo1M3qH3P8B3gQWPYNKdYTNrgagjyRmlL4AQ21K2Su/N3W6LUz6j8uHbSsubGFeYTwGE3H7pbh+ARLFCjSBMnO93e2l5c2MK8wngMMkL7xRrNDwKCW/m91B6/O13fgFev/BV3ZQTxHo+DXU4R0fB8DSyxRlDovOP1AS/FeO0gaqbEp+imm1zaN62miy+5+KgrwaJ2tbHZLrEfEqDYlXFFXmaHtHt1+Bj0yHpJLR8PBq8IP7CU6J54HpTbBaYJUR1mqXr5gA5ywAsRMInam3JaKclpgt1x0wZQ1elojwnwFfDEn59SMLQWsvijYReKZNY3oWBpSNSnxRZjiQWtyHl4oCdRDcyqb61cp0VMPA2ZB8AvN+1kKJBa3IeXigJ4aojIb61gOioVW3DWB4Zfb/CGV8WftTcRhFdQwl0Y5QTMlDhtbjNrFjTSuz4kamKvnnt9Z+583XwkRWs0MnIzHJJMMF0BL03Ew851IGrgB9HmjsBG0HF2dKNqObGgc1kwvSntFRqPLFhWSHq6wQxBU12250gjNPI9MV3IJfUNqQB6BPH21L86QRmnkemK7kynIUxeHbzDzovhFVMFHSropQ6i3z+AUKZNRKBJYUFUovk9rRyEk2tCONru/gxYsQYcci0JZdOLH4OI9Hw6+AdHw/NCxZVrS0Wt4DDhUU/hhyApESke1eQOUWuop6HPwsmTJlyxehDNVqbeb8IWLLSc+wiIkLWkr5Sr+ssBpqAXRLmYiu8aKEFoTT52TQBL1ErFKinoNUMubmEUYMDZrqOtYGHwwZAFAAUB2ONwRGrbFOaerWlrY5EDA1dcDRqfqjAGKsPVNG+C2KG1aM5EE5WF63pCxEWKliE2QgjmrcRPS616lBbHkcgADuAk9dmEsAArDfSqriyqJGkadrzM2V3eb+Kn/ogKXXoX9oZvQhvQA1tcVBrDoBSl7z7aR+iAodehf2hUOkV205l3ioZwIVEDXrl9Td2Mz9jFasDUDyRgFZchq2vdC+gOZ8AHp5yRQh2qlCjivH4FWrUcWJQcEGUXen517PXfudh87XbQM0ywu7s8UIr3UZsVl616TLACDA8kEPH4STn0lrApY6QQvhlFxZL0Xj8CjH0lrApY6RRjJVFKIoK+AmThGAJgBF1dL8Kfev3kw1DIHigERsexC0C06heDk18O/fv3nJwyAsCXEecqV2LrAxQUgAU6RIntPJA0y0C2vgVWBhhtRQLyIIm0DhVAgWq4Phqo5W6S6wwJa77hevXr1+qaU+VQC0VGrfaAIKEiq0I7VGqgNzaabVUbCw4Q/wAc+ECV1TpzlvqiWD68ZM3+hRUWqwylBqJW6AvcMAKADAB8XRPp6L+guzl7DMq05RgtC2vPwNbpP3dF1F2cvxg+QcBUnJTW6/CCCMFEU+cHX4X02qYIpEFimHsOtUA3kARGkYBKhLdAVx55+EW4iXBBMAIuucYM7TyQNMtAzXYG+gziqHlKLr4atUrVBxYDwUBCxpz8/wCu/ch/k13Fd5X+pX+u9r2+s/c+I7T5mvma+TqVKld7UqVKlfJV3df6Hqv3Ow7T/CruK7qvkKlfN1KlfIV3VfJ13r33qv3P9eu+qV/iVK76vka+Kvn/AFX7n+ZXc13tSv8AKqV8tX+E9r2vb679zuTtPgP8Ou8qV/oV/v8Arv3Ow7T4XMLRDwL/AMACCCCQQQSSSwwwwzzzyzxxxxzzzzzzzz3JnuTPcme5M9yZ7kz3JnuzPcme/M96Z78z35nvzPfme/M9+Z78z3pnvTPdme7M92Z7sz3ZnuzPdme7M92Z7sz3ZlzGyeA/PuOOOOOOOOOOOOOOOOOOOOOOOOOOOOOagEnh/P3333333333lllllllllhhRxxRRRRRRDFiK5Gt6fP3TTTTXDDDDDDTTTTLLLLLbbLLLLfffPjeNdAVz3L137ndcF6v9/gXX5/1L7/P8I6v8iV679zuuC9X+/wAC6/P+pff5/hHV/hCnte31X7nadp2kUDCIu5UY7cKqLaCWaNPz6222ywwww00wwwww1111TTTTTTXXXXXCv6nCv6nCv6nCv6nCv6nGv6nGv6nGv6nGv6nGv6nGv6nGv6nGv6nGv6nGv6nCv6nCv6nCv6nCv6nCv6nCv6nCv6nCv6nCv6nCv6nCv6nCv6nCv6nCv6nCv6nCv6g8ER+t+fTDDDDDDDDDDDDDDDDDDDDDDDDDDDTTasIv1fPiCCCCCCCCCCCCCCGKOOOOOOOOGGGGGDzEC2BgP1T3eXu8vd5e9w97h73D3uHvcPe4e5w9zh7nD3OHvUPeoe9Q96h712DHuUPdoe6Q98h75D3yHukPdIe6Q98h75CwR+l3A0HTo7n1H7ndig0vpBsdWMdyfK2geZgXUNV10zNEphW7wxd58+7r5KpUIADo3rrzAVerr89UIADo/rrzAVerr8lXekaQp64PN+MfPkD0ltu/N3PqP3O71eyggUrQHJRiPY+ygslYRxUUMxmohCELUoGs5TqkfqZ9CW1RNVlxrKs9S9JV2DK1lkLVmgenzPn3jT3FXrU2KNbQzV8oLzxb1ortDkqXEbSecDRA1KBAYKgkLxQgAWsdhQImhADqJcJKOL8YWA5lxsQpUkAgpAtywk2qUQtRJXhDGRASFFIQCrHpGyFiPO8wVBRBxEtYspFDeWI/W7kQh4Is3Sde/qV8H4l83XZXlmotZlBRVFUE5BTD4XNSFNIFCrHpDoaC+6ZVFA1WItXYGqCwRrQoekKsh73RcmwRQEw/1ougzRBZRR9EBQprOR6TRjCRHeeaQPEI/C7qQhoAsVadYNJlRRBMUA5DZHDKMRMIAVGghVkPe6Lk2CN6gkQEK2outLiheCXg6b+5xwIBdEBn+FhdPSP/AJvKI7BQEyJ2PTqd0NA9AjLo97+JfN1+V5ZqD1rszHgRnUmUc74G2rYSyJdyXmHKiAUo9InKIXJVqnTdBBFGaRwIFXoTP6UKCl7QWhuo3T0oAasEKDT0h6jLqDLcJtpQ6kGB+gYJAQFTCw7X3gUAlzKWK17PzyGdXz/VAZRT5EBQprOR6RqVx2RKEOc8jrAzYO7rNEyLhrFQ7NfoBKq0BOk2mmp8AsyIx7h7KQ9WwibQ7I50ACwgSxE1Hua7MD1yJhqvC94DLsmBSEQcIKmMvQfkDRtVcjDD2J+AEFcbXqdZ0Zca0ZHnJq6RMGzTqQCIlIx6wQmxFdgEpG4AQAi3SYUgYC6HYLRq4GYDhUBZd57NYVlaQ0WiiZH5TgMh1K8fhe1nrP3Idp8YAIIAgLFgWzRiKhkMv1PVUqmN4gWtV2OGB9VAiZxkLcciq6t8qw9KqhSjljoftjGqPTy0Z6rV93zOUYdIF1jVddMzVK5Vu2mLvPnM8stVeaNnNMCHhEWt6NFgdVc4ZJKWIrSonRUac/IyBQcuGHJ9AkF64rr2bbuchRBUWEq1btSaWSoTCFl0ZXPEgVqtcsiJHKysRUWnGd5KbHOLdkWgKmMc1W+9V8bSI9W9d+YSr1dZnAQNo1QdVIsVbtYGD66XO5QVOdDzBh0Y1A9u61KVL0gqIlFeorEl1e8f/NSsdMrmLle2vKtaVL0Cs4KktS2tbwb59lLioiUV6isSXV7xZ1ilGEy0rWVzCGx+4FtVcUkBewN5jCTttBmsGxd2Zf3WYEx1RoAyqsEJfQNKyOqxjn3q0iPVvXfmEq9XWZTG20WRnYYpiB70Jx19DGBFC0qDg05MCOGNCwCM9JU6mwlcihoXLOsHPkIoZK5aF2y/V79jtG5l9zFYoNGxxhsFG0zGDXBLUqnlTHjVi2MbFmRTA0zQW3/KwtVHUVDtkoDYry0L/S9IRzhpSLqijQY6RCJvWmgAWMVUXR4BIPTF9Zcev2AxUAKjUL+wdVwaTMmG7Tm7oKMux3d2sKeuDzfjEPkLCq+zSgNgm+dS3mhTTJYMi3iLtpEqtptbY+8WAAsAKradP1eE+ojDedU5ulTUsePBGS2ZZmsLLwGKxZMawg6l1XRtcyJZSGrFNcBxczNkCD8v+1xqR5uYBRdBfKWl6y23fm7X4vWfufEfD0zQ1QoCgjCX2rMVdqr+8YqZp5LEZyzGQ0LfLlOogXT5LW4pl9WviPk0UA7qirgpoXM8AQUMg1mp692VZ4Z5QtZaBHXhTmZh1dbMqqMlMaQ0No6hkyxlKOwdklI2x6ZaxzY4R6sAy2mpXIlVH9dF1nFaMtB08U0ULg1xuV1g10IoCgA0AO6qV3LSVLlQUSCg6S0csqvnOOL/AIhMvpnoqzUXjOlEKt+LR2kbPSawaCghYAw31Cx8MofXlFugqLmIULdJZ/UlztZzr19peUqY37sgCkcOZnVXOW+0WyWdahkRtKg1WajYOVEsMGloA86PGATNliJAHIUTm6olQCKslzcxbdB3rSVLlQUSCg6QkUSrUpb9BRnKlK9DnoP1UO6aCstWLeOiCRoI+CYe9z+G1eFemcQ/FFUgFek6sJZtsq1SW6152B3jEfvDADW4vkT87ZquwL6Qcly8ePnF1m2huOAzZTYGTFoNPvDqyx4Fp1o6HWMKyRTOVGj6iEveIEhImrZhalBVCRFOQ+E3ruEFslkaLakNaXLRZHJtFB6WmhhTAvXTgp0ih0AchV4tm1MC7djIc+dXeEi0XbieoNCLuzwB2dTSORrqiLrhU6YLlkZZacqU84y9rn2l8nlrUiI5gUXmZiRtSGNsAHyiTEMhB2UHufWfudydgBARLg1C2hchcLfYLCNPZ1LOxLbiF0lA0ahdsF1FSiG6GXS360q2u+YQ5FGpCiRAIfTV4fhPlKtYZ0tqEtEMzXDJGVKwvjMN/jGwJbWaIBHcUr5dl41GDFMJwUsAmDUzOU/Z4Li8jsES6FLbY1kg5bpDr4gpjkWOLIsapXYJdcaW0GS6u0dEnPxs8FxeB3NSu7SdPdGm2kFRlUgpc8kxvV4l0jSDcAsaUWsZADIS11gxOsRd5XgxBVOa1Qxa0VTDRr1mdNLiE0/Q8CInhBerFfiQb8qor3QpuA87cudkAumKxS4OIQLKwiUOH4CI4XWlumXANFQZL4RmiaFFsMWtFUw0a9ZnTS4gtpEvHx64Y6sG2QxEO3V4eUH22ClDYNt9gR98AVLhoLs74JOnujTbSCoyqS7oNImYzDVcoGUz6DowarxazTDWWsiagSYJmtOalEDLGIoW8rU4sx4ebLXJImZG6spqDmxmG6o6EpAomBYpZstRuxyIMTUVcD7sqNoorQ0VlEqOdtoBp5zNQOylCWWpw51BUGBtJRC6zb0oEofLDgKoc0+ctc+woR0RB9YH6BNEN7KCl5x3k+wkQY2zm7iu0IeGAzTQKZIAGjo73SlqGUH0FV/XvLGwXZRwLQcWCDahBVigBgG4alDOtAl0H1mUoM0Lqwail/JbeBE0n6DiyCg0THKPRauJF7ILq67Sl9csWMFuJo1mOJUqseVljTpLjI5QfRVf9ex1KxyOGCltBz+v3r8D2pPrWEPVUF+N7PWfudh3IeuUgzaFEYR+E+WrtCEyVQDAuatjTEUKGwayX8Fd7UrvW6K3lBChYOLjkVp4V1j5RBGQRb0mMuWYqDZv9ANVWgJb9RedazmCOlQBzKhEwoC62hpLDwdJLBdK7MN0ZEtCst8YGfKEmnKuG8axYT6ssUljh0eUFYrBXulFTOn1R+D2qegKPjKeFElQb4FExdxUGzf6AaqtARlIGYFINxHUiY1BiO1GAuufft0VvKCFCwcX3lfJh7QtUAIV0alMcu1JGLRpyEzFmjUBxyAhFwZ7EKMJHLEEVqmkxDb2KJtIaBzzKS6pl7UXpjnmVNCeqDZEGkamzSorgIsECIIEBDSKgZ1iOGFFIoMEotHlBS8XIQBQu+Y1ImDZl1IFESkYmGVmX+hqMaXCaudewCKr0IgpikQROU4sMNQulSDT35ei0CuhQvufUfud2QCgM0hYNoLp88g5u/5BZaaQzpLGfMLaKwrv213td+0RVxC8AWjK1L+4oNZ00VfAhToFGplQUWg+yegTb/q/WK5zP7OQFYh+iuWtY8OcC9FHx7aTUdHgWYQZgvIaVXiYKDNJaiBe7lSKW5yEGcBQY9jeFov+qIvaXgqvWlcl+WZDcgrWo7kvwzIbkFa3PQJt/wBX6xXOG80DBbI5Gq4lqbV4DS5qvXv2iKuIXgC0ZWu+r5FJMWLA5C6NVjwgqdMVl6y1z38nJOuXoI4Ou8TWE/pqPiiN5zmUqj5CVNGAzAoyt0TBEVFWO8qlznKw61qgGNXWLl0MUqlx1C3hFXRCYBU9VhgQSPIOLxyGlHTLGtUDOrp0Mecxzhg4GVg1d8wVZVFa9GfnaRna4VFuE1j6wdYxiOUIj2AJLm05Oct+aogbzt3ylqu/zLYgUeXfpp9og9Vovy7H4/UfufGfAWSUAMQlwhQ3n55hpU4BGEthbi4k1gKW7Vkvbvq+RLc7ILikANsWGYISg6pBQwRbUokLgOoEwwuwpOZcsl9TfaJUHphOQJXIIeZSp4M8JbDS1W06LpZbveyk7mbsIAQNRygx9SBUrRqoayaWKNb/ADCYEEEmRQVrZfwCIq0kc3co8IVAuKbHBSNIGWqecFpASLx1oGlnGkFDr6HKvQZOkVU/2iVB6YTkCcU6fhqVKldwW52QXFIAbYsM/OV2hBZEggIGwNTP1mXSr1HOFqRTG3WZlq8vNF5javrFbMGCrLe4lRoQhhqdB0UCVWwq4gGBqijWtGLoALUA6nKNrjpDZC/QgDkAUStin8RLB3AUcAxkgLtJFqw9RYOMB5jQgkCKvN1FbzGrIxekdFJhzfwZdcEqR9DnKxEdctkKSi2x3mMTp0yBhqg2rtavcvwhiTCBfSgD8T2+o/c7T4yaxWZKYDDZy0vtPgPhO8PiYVxrUEWsrjqlHG8C5K1x1+fTZmdwtGk0HmxLuDoxrUKQqlIvAW2DgrKMRDJAoDL9lXm3SFDkt05IK9uVNjB1QY10i1OJNcD0T8dU6qmVoEkXYHlfYWwkFuSuCsRAbIPrckO1ZKItC1QTaEaVTXOTFZqqlwFesUokFzIFsfqrLag5aM0vEMmUR5MDQ0mgeK/bV5t0hQ5LdOSddV/Iodt5Je7qVK7U2ZncLRpNB5sfI13ldibJhEirmLKMvRFyPcLEILLfzQNARaYAQ2a5urLc1EPjYOsYxKwrdlPv4CTOFpl3pHjI8H1DY6ZnlS1Tj+T992aN6qUxOV5g2FQfF3SfbGyrABnKQy7RipEOv5dxNJZpbKwklS7bWsfsVUHo2BoX1BgJioUCt+Nme0PSpbUttN2TPKcsuzQmfcxHRufIJoi5CLuuh3Or4vud22BorJR3qqu8/PXwGBaAqc3DozL5b6WK5NMYx3dfJ1Bh2cQOlhzbGOnz1Q4dnEDpYc30HT5/Aq0GoM6bx/Z3r8loNqERsvHy+B+H1T7nYdzpEYlrgMtHLS/nji1uT5Ha6sz6XcvJrjGe6r5GpXaKPR+gH3TGPnzR6P0A+6Yx2VK+RruxQ+6meOT9HzD8D2ih4Avk8o9xr+L7ncHakwVa0WxkqZVh8B8zW1pz0HW0uHkzOXq6A0aY6fM18VFraulGunA2sfP0Wtq6Ua6cDax8NfIV3VNJ8iK51Yfs+Ue7qpyZU8CsPL4X4Nfxfc+A+NoNEc0hRNKDpAS80yUCNvIXxZ7AQvncil4sprIxbzAMCVtGkRzhx2EluLHK4qBBQ5U9pGwNl4tilohkwwp63AJC8lXNe2woBVGaoZa7nxZafGXBYSwWLLBAWBs8rtnXLCiPJG7dTZQSU1ZV1AXgeIiYiI2Jr8YQ39wDamqYNa5lgbNLxLVrjGYivcnUFdhWg5eLdmDjeKLozRyFmkTtXRwEFa0YDPbg40kiqiLbRLN47CdPDisIAZUJcWtbio6j4Hmq72u4BCAyAoXTFzUYg6kEChymWhisHMjcdzddV2pOgZJXYqPDF2W0iyms1EGr2iAAnG65lId8jw6wLERsTs0+OXgi0mA68NSEyiHtFNUuzRcFXeRsAyWQwWNYCQAINiOiPyYIQGQFC6YuajEvJxr03cjRvDMCne9WrxJRZasXBEEbHIkNm1MLS/rQYHTP2ZVSzTTEVJpWxg6Yt+K82kAeo4G1KgyI12Ld+8Qi7EKWFLwSnqqsmUMURsZuVKrPjAwFrYqsWw1O/wA4/qAQaT5Ikg5UFheisMPRNbTqsLOqEKJS4pBHDWqzpmUIUOEPKkLMJ1eWQV2rRipZmrg1wyqnJAQbMHWhQAFqytcWci+cataqWwv3hiMgYsAqY+WJITwCz1rA+nc6/i+58Z8DSNHYr9plRlecYjarPPOcOAo2IY0wHymhjnfkI31zDUfe0WSL+hqVpla/QLBuYKBJFiGxgFPiLBYKAQlyNUiVSoKakVMAfUJkABS7yQkswDZddaWvKQTSbTDgKWlnpaYYNxPHJ6IoVNW5idG+g0ArWtZNGV4dEjmQwFR/SFVzAJgNfegatUoZCvACFCEi9Zp3O1uVmpMFRBnlXvVVTURyGmXx2kVh6mvYIKXA/N9ZNxgRsZGWRCOQtmi7aFLZmWeKfrgCRraysSZmiw+0AF8pOp3FW6i1QrGOxFKPwBVoMDjOPjdNx5YLKoV0qa24hlIrRNpeCIpLWLwrUWEWhkygFqyb5HiR8OC5baC1qlsCFFXHawLiuCTXQtoxqgQCkHw6IqsNxdhI81EMcMQJGQCodWS6V0XSgOEHLFsZXTZmOPrxcmGkYDKC9fc1sJ4MYojVO7V3XRp9VugUQwg4hQbtZ2YRWuqXCIAvtFDrcaBSsY0hTjSgtbTvHXD7Xq0HVCBYsRAJ3W5IGJBUtpRXpypsLWEYnuprISf1m1paOUzhGA6LVm9AhHZwltjBVDZsSRQRp1lcVgwwcjK5sKDfu6JgwFgmA1gVr6ljjQAB8n0afVboFEMIOIuqCFZDJBljKZJJrxhMrxMZkXvPkVY0OlWrjFte78MOtEKqWxaUMEVcUZBprJ1MP3GG6CpDMMl5eTH8UWRApsi8oB/XBgTbvxhAgGH/ANt0543Mrwj8rGFClBQNLdMBy33iiBw1RzpLSGZwCIOAzQzDlx5A+nWzFWPkujCBE5mhdXqlPtng3VA4t4yqmuOQL4KyVIpUxX1v0h8UmTjzVxQChMS5BpYyi0HPOiYs6zALWyLJnXlfczVDUyt4ANWcC4yjXO0+DCRv5tJvYbnTaIUqMJRIvxcGOLl+J7p+Bm2DUTohQ+J7dfxfc7TuENhiIikYRYuAUkEANAurV47CFRtFj3gtrDRjjMTHyQ7UbHh2w8DoFiOERlj/ABcGrQsVUAAAoMARduMwFoCq1aDM1dtWcyVar1lE0gBqC0atFZ7EVsAAtVgKzeYlSMxQpqW+CVdIXfl0UXpczEEB6+VMFttBjWKJcSAKRHCJDTlfRR3IACHQOgWI4RGMnUMFYrVqJgBkE+MhoU4DGEkGnNQAqAUlWrLW/wAAaJ2NFy3bVV8pUplwHbZQcsFCDDMspWF0QasF27Xy2JgoUKMtHXua7wthsgmKQoWzQ47HkdOSfWjV3ewBATFFw2DqogHLVBLUDqXWYxuj9ZKQUl8zkK4WXBEqlECTMA+AuG9DRVt01VfL5QthsgmKQoWzQ4gHLBALQLq1eJ0BaVnb6lXmvgYhKIVpSp0x0j6QWQ2zarUKyZlxJyzVULZk/KlYgEAAAFAGgHbjq4Bp1Y5LMNfJhBZEgopChdDH07WYSCBYUKNWusLf1qydq6TI7BjGGZbVCw7gCq3b8BZHTkn1o1d3vXuQxAYgX1oodzr+L7nxHw9MxFUaAAoytSrUas6iBqILOXMsGBmhtqxBh1BJPzg2dKJitLc2LnOur9YaAxpWSBW+7ZYOl1dXjhI4wkpE5MggLRclXDA7EYC01KaWUJWys2vmexeLdmg41fpilyK6NNkh2nqwAur2q/Izd03q0PQM2R6exq2IV81B2XRwFBHBrEsVCYRCysAlmzUevCHnsxSmBFO/SqJDbX4THboPAtV2EbEYLVQlGGtiilABCqmYMsA/l7r2tW8aQo+uUvKUhF9G8TPsiNNYK2KlLEMsSa91SUmvoUpFZewkuHIfAopYGV7UssHmAVSYIHM4HcBWdX1qoCgtKlANEYGFQnADJF92SQfBupVT4Z2hGo1yBYGqmKmpWWSkVgTlUShSHHggNwcjyhs6cUpVAJL+CsCi2YKtEEYYUO8JwHQoQAapaBBaNc6DRNvxGJNYWFEygoBArm1ZKZ1Z9Yy04QrBZUIKEWf5xdnwVYcuQ3KQd0BygyUMHIzsMDd6FFEBRGJCKRoTIREFYQbVIxhCco0haJnGvDzxh8OiWrlUt3v1KtqZrCki4ykb8RAK0pdCImZGqiGEWtLBSUV/GYNgwLRcgp2qqUeodi0WwAN0Yw8Jtd+SiFKROgCjUgVmIEIOXh00SmJh7STqjrQG8eVF7SmH78pHb07gcmZdHIDDRheWGUMYmJNUNRC4CuITkixAQe4KawnMKGEt8T2GBGMIKzvqXtBM+KlftMoYTlL6lkfRVIFluekH3LGroboBoBd+iLRUrGmkkEBlIVm2gZLvFRigrcYgS6Qi1EXJ+yBGUEACFNYDnxlKsyQpFqAjH7Kqt0O3bFhQIAJ7d6KTvUqxBA7OB92cptRFnoUqwAvTHDEMGKRwR8JXgCJkNh0IjRgV5OMB2xRIAMeBOUG8WxA64mJ+ymarFZ6CzlExrnkmTkJy1hthGLF9kgRVjNiscwvDj0ohqwmYZwU7eEFU4sytgKVg1M7COCqRxpUxUziCRaUFtw6LJjpvtEqWA6AioZewrXiQFPV1KaGV7YVUkoKwhQ2WKcrsY7ODPnRARyVGNwjUAS1hmkiZQFQLUV9ZWWhy4WhjndUHS3sBM+KlftMoYTlFycFmghZRplLpBX9rqjAruiSmwG1dVQgbwAAKKCSBOws5bLFab5sXAoQlbQCglcrXSoUBLmFXY10zEpxnhQMoCgTCqq1msvLY9dDVoykQECb/AFYyuJiBq1BBMvZMzFHDHa7qGeg6G6oupdM16R+QkpizBiHQBZUoCMJxk41UJMBITag3TXTt2QKqjZMCY7/wpksA6JDVXJM3ITlrDbCI6aOXSqS8uLGGLGBBxgprCcwoYSjLxFQDHR0VUmQJ3mFsvLN9IKFmrYK04eraahIBYHyaViCsCXfJAgo8GScKArHaDagy/aVB+I+g4RhiDSaRSAJAxvEYbDCH4MExEOJ0wRrb6jFRFqK+sp9e3BghjI7OWg9oIYfMJyKeqx4wfKeHDnxkM08RMU0HQGaLR2KXlJAV+tqaKoMlhHJEFgV/wCVdj6JvXK0j9LocM+KZsCai+2AD3YLDRWYtRWgZY1AtoNeOEB22kHQAtgF3XGudLT4CikbiUEFAnsFRjKFBYHDdMu2UMF1hLiPqUErMAEUBzwmWxzfjqUKDbAzpFko8akSaVHDlRFUK1lbyAawLwkaLXPWlM2qVCCIT2ePCCiumhKMsueoSqTRgLyAzPS5l1ArRVAjCEMJBpkBkwaqY6UNRZHb+CgxRHNKJTTBfTCnRYAFSFxuJWwM1LKWbQhgwWtFJJW64OcICYUqtEQq6NCU0WI+XEpp4QEiwEf6U8AEiV1rI1BzaJY5lqoCbU6Y/T1aBNDRuNBrX2AEdywvRWnwPa9mr4vudh8Z2NsWc0KF2zclmIZ472SwWwQgvC7wWQITpiABXzAKGwPsyecYgaturmXtfcKnQwrKHNQYXeM5KkFdjKAIQH5REGleJ+RSMaZijZojbWpqkxSF1LcMutwywGUMVivq+6SuKvEL4sWpYWaZQCCiiujxRBDkhONVilnYdLLLmQmWv2XqN0HXJRjjTuklREpRUvnRXl2qG1AnQAbqCm6ThFta0rd6yMZf8FMhNG6LlPSYpCjPZx7WECwrYaWogvKAtgDEKl6NMKnSFAFMVE2a0RFTTZP1Ypy7OuuMwBUqAgbvyabURIC0gIWWq0TIQPDdMB1fWjy1Xq2GLIWBzy9zxyRYEU4/gkMBGtJknMGAkgBcwLWUijEd2A2Gigqto6S40ZMXg31nzmOKGHGrG0GhLW0ki2vkWw0CyVL+Oa/MVirMTEVArBcRDqowjrYQm76VDFUYTW3REtwI65ziplKiCp54Q5EsiHI5VK9+QPS0xtILXaoCnyNqNlsJFAEIayRjPLM05rUUliKbIjwtZSCqld0dRXFgoWc7SGH7t9RN5b1aJWYTK20MAsjPwK1Ib56g7t99ZguRS6xvfJfg0pFYDoT3DNrH0dOmJBG01h+K3IrapkIps16pHzysHQzX6D5e8MBmbERKijd0CQSC84QhkIEy+JiEjpIWxjjGTmVPErcmAZvIb0JMhCBGQpE2M3yHfZBL0GLtLaWGmFTkLdERQealxfJtavCEgrticp3QVWt1VHMUT84nzvxHC9wwMoUojmxjhCHR810K67UVm4tkquGbt0YNjPo8Zbzb1m0JTIacgeKiMOtEuLinl1Mjd1w5kdY6CFxzdY2qoTAzldEOFdECqoBOVpV4YUWBM2AMp7LTVnpMOEwjy1SOVimpxrRuKTh62ZAqLOuHRpkmBpp0d2N3o6x5sjJPtmpWCCAlLKV5Ah+1WQtQVDSSqwgrPygDPQQq7aqXCz2EBAq9xL3rA4BEUOuzBuB8nqizgjKSp4k1t7SBqmoPKdaJKmKatmtLb/wDLPXRcxFaYU1y01S82dXrkNc0uXJlyUTVEWYp7hD8pAV07Qi2lhphU5C3RKjwUhHzstFFhYYss2DGxPGNBAi2C88ztMCAKuYBQ4oY2IidI2rbzjwDWnxpIrV5GtIg2+2wYPZ2MvhQuAkksKiNseSwYMTII9GepeKwxDJgeQqKqV4BrAYlGgvig/NqsEekkmzNVR3HtLcHbJdd25JMvk0oBVIM6Ns2CnrsJZ60BQ+muSiZ1MuStuSagyAmXZpkkBpp0ZWN3o6yvTDiwxxGhWiRRSuhB5/htmYLClJWPFpEDcqi67KcnCdHOLNdrYFZzRwvS1zbNKmUI7gQtoliepyYSCOek149YCVY1dbfsVBItsC2orRY5vawOQqW+WCbUwKs5QWyUaw6YYQNcHn69B5URN0i2pgfCfYnCg7A2W08CkVtQlTgQ2U6tkEIsLrVMoFaXuuIwBRMhpOjaaJm3NdVmlrkw6sMcRoVokUGvGVJXUHDIKtEs2rgxNgg11AQGKzLBYArLAj6crfhTymkqm7S5kDYHw8pAceiMHI/GNDYRhqcwcEt7LTmoibKzFW2RJ7a6GBgmJqyGNYKQRbXSU6OIBFrEVCyfcqlygJ5gtAp9ASURyhfCqaIgCQtrc9O6aIGJAw5exC/FQW2A6A1rsARQLbJ9UtYuyW7QDNXa4zBdKzgywiMrYop2XAPTDgSDAVJl88MBE1NgAanid3ByBNhEMybkfqpp3A6eeEvyDNm/N4UjMSEthiTVZHeHUAFQhJm3HznV6gYZjGm0W3mvq6YLHdVQALHgpRR2AEbwdj1Dl3Or4vufCfEQCkquU11YOx8R8J8mUCgiLbUBlU6SkEK6EQrA32B3tfIEhohFOsBChHPz5IaIRTrAQoRz39fIErGYQciss2fnHtJJnFgdEyPrH4HtZq+L7kPjOx6whL0sLgpqDIFABUA+fyRIkQIEiRIkSIESJEiRJs2bNmz48ePHjx489rh7XD2OHscPY4exw9jh7HD2OHscPY4exw9jh7HD2uHt8Pb4e3w9vh7fD2+Ht8Pb4e3w9vh7fD2+Ht8Pb4e3w9vgEKEDafnwQIECBAgQIECBAgQIECBAgQIECBAgQIECBAhwoSeD8/hw4cOHDhw4cOHDhgwaNGjRo0aNGjRo0evWrX6YLCMLodPnxQoUKFStWrVq1KlSLFixYsSJEiBAqVKlSIEBc7kBBojTme51fF9z4D4sogxuiEFM5aQWIjSJODfzODfzODfzODfzOHfzOPfzOPfzOPfzOP8A8zj/APM4v/M4v/M4v/M4P/M4P/M4P/M4v/M4v/M4v/M4v/M4v/M4v/M4/wDzOP8A8zj/APM4/wDzOP8A8zj/APM4/wDzMiUUVC2gbYZGkFoNJejNnwbzZ8G82fBvNnwbzZ8G82fBvNnwbzZ8G82fBvNnwbzY8G82PBvNj5P3Nr5P3Nr5P3Nr5P3Nr5P3Nr5P3Nr5P3Nr5P3Nr5P3Nr5P3Nr5P3Nr5P3Nr5P3Nr5P3Nr5P3Nr5P3Nr5P3Nr5P3Df1sGqloI06M4d/M4d/M4d/M4d/M4d/M4d/M4d/M4d/M4d/M4d/M4d/M4d/M4d/M4d/M4d/M4d/M4d/M4d/M4d/M4d/M4d/M4d/M4d/M4d/M4d/M4d/M4d/M4d/M4d/M4d/M0EZqxS0EadH5/x48ePHjx48ePHjx48aPDhw4cOHDhw4cOHBhhJEZQLQJp8/jx48ePHjxo0aNGjBw4cOHDp0yZNmzZs+fOmgW3upTej2PwPbr+L7nxnwZ9M4IFK0ByUY787/AJg81GPkZq9anLmBrVdZq+Xz+nBgksDPRyurzXz+nBgksDPRyurzXzzMOova6rbDBvC9/n9PiuDV/oNePc63i+52ncAGZryqWUQFmh+A+aPVSHS6xk2HSa4clbtpi7z8/wDQ/QXekslXZfz/AND9Bd6SyVdl/PnlH/0AI4sHcvePwvwM+vu43VHz7X4tbxfc7ohJPnjF5BpGEvuDvDuSIoBs1FXBTQuXsAQUMg1mvn6stVerBmhFq4l+r+ol+hCX6kI/oQj+pCf6sex49hx7Dj2HHsOPYcew49gx7Bj2DHsOPYcew49hw/ycew49px7Dj2vHsePa8ex49px7DgNu1XpwZoU1c9lT7an2dPt6fZ0+3p9lT7an2VPtqfaU+0p9pT7Sn2lPtKfaU+0p9pT7an2VPsqfZU+ypcPYSwu1UdPid4jEDYDSuUQ/RlOVRgUZBOASiEJxGMTnEZxOISmEIlCBYmmKExA3ke/SdIZCLsoPxvZr+L7nYfAfBi3QGl0XBOBq2YAW5OavHYR2VR8FM3He93dgQAQIidzOruqtzsQ9qVYYpyYkjLcrRWFXr/qAGMYxjGMY9j2PY9j2MflXHH+v4AK14a7Qyt2UHasKjKEFOzRyhimhUgMVP4DXJDK6xmD/AOGYM6i0BG2jCVEUqoKxpnTkXkWYa02mpZwHTrxLhvQKJiBhdn3MNyRoBVYAFpcHaau4VPwvwNq+bD6oC/A/DreL7nck4/1dp2HYa9h8J2HYdh2HYdh8JNCq1DYNZB/1ADGMYxjGMex7Hsex7GPyrjj/AF/AFq4DiF1LUGtLyZzBeOelgrdqWtTmW2vqR4XVT6Ik3UOdntHanKZVCn59kYYtk2r0lWoFYkDNYyZ+ZdxaiNrO8uLDyVqR4bFpDi2LQZe01dup75JEGrh0Gi/gfgZreL7nwnw8X6u07DsNew+E7DsOw7DsOw+EmtuIbaK1Xf8A1ACDxNOtJVGgq0VlGgEctIBUCJ5Jtoc+pU2LWhZvMlJlZdBmQyjThreDVJK4KGjlqnEbQRI2hg5yqusA0dKGNmtNNjWV5V/LSCrmqjEHx5UPmxrpgpe0GiQ1O4KQb0ZUcxCWwvI3gAJcLoQ6ljxibariO8GAvE18CXWLE4EoUC0evqii22PY9jH5Vxx/rhOD8sNr9RWpmLxHZU8DxFsSkWcl8I7nWyW8Ggnj4nEnlNO5rEu5gKEszOLYB6pBrfNYEZKxRFI3HQg3OJTamohmAHbJ1ERrfdC36tznaKpjmi27zSkDQ1EvE6od0omAS3Kuq2vKDuoZninqGDYOpqXPRZNqyCwlKCsyOrudT3G2RUTqgBj3Gt4vuQ7nj/V2nY46kapV2hRrcC9OvF3IEEsdlbd3w+S8KYK0aivIZZYgOZRrHXcRkIDvMUXDCeSExHi1pAmxbdeWGhs5WMeuQWY81fEs6iAnQ2cSqr1CR8LWMWV1kt6dVb0QA5ijr4GUV+dXwdRWsKpulFfdEK8BRekUBvdSiKxeVv4592aDhpDTQOvKOxjRnAWUXYJ4EtUgFN05iKOa6y8yP9uAA6g5bOsYj7aigO5FSXOedxPv61MbolDXIOulH/WuiMWq47NRzlQ6NqcogL9uJeEZA636hKTQ5Qzm4GPCvQHNSg5V8BLYShZbFWlnT52vlwGSby8ho6iy8kfYkTsKgWQC7YxKygN9NcsOaTohwqEoRcICtF85cW4gMpUNQYDSUlPK5Q6rIEpYETbWaA2iNIgGcsWIk+NBJLRXqaqEnzDxWkdeyu4IcaBHgLVNOsYuoNPA1ZpVLBCvNsUl/lumFWKtRozLPzh62tSAWuZYsQCBCk5NlmnQ7Hsexj8q44/1x/zlThVHoCbkXzy2VMpdKFNo7wJyNZQYY1FtwovHgzWjKal1ZmOEKl1RyHgs69Yw5UgGQ1vFc4ZCQhVUURFSs6TL9+lEMBhZzC5ZbAEecCCN1p1hFfbqt0LsFWpHXuknWqENY+KVQW4BCvpFGRk5SoAXtkwMu1bSzV8Gp7p7WmcYIH0EA+Xwvwa/i+53B2cf6u07EAKNz0GoWcsQCCBPmgIzmszBSAAiJYl0AUcwzd01VIC1OoVtmCaTDVJV0wdGI8nLnSZQoMBggUPBgkCMUAo4NJSPjCggsEaS4IOfNfhDSZDIw+6FBhjhedJiwmw0gWZwKu4Q+nHPKII1QxlrA0TC86UcOBLlVyv0RY1wsylqtbh1TZ9SFU1nLANI8dGklhbdShi5oTP+DKF0YprHW7YB4t6mdWphWkaqALACIPAqzWsovvXIZYZGstY2ZjiypoUt2QZmeEhAwAdA+AlcddKsOjWzr8J8tXzIBjGMYxjGPY9j2PY9jH5Vxx/r7HC74nkQXm0dHmyRAHK8MRmQrzDNBRcabAjRZXSiPAukNan6MN/VXOVTZiwzeExqpozUeRu9i1D5S6VVhp1GmNoUZOzZFEBTC1C0aOPwzieTJQ55i0CsxShugpngV+xY35yF2Q0bED1BRss9cjhBZfSau61Px6+aZo3Xg/TudTxfc+A+Lj/V2nYdhr2HwnYdh2HYdh2HwkvnvpycmmOnzVfCkxvMMVFW2LIpFqya0mpNrwi3zJIkSJEiRIkSJEiRIkRJseXDnx52LVn2e8hioq2xZ8z3Tz548XrV6wcOHDhw4cOHDhw4cOGxAUkbMrQOfT4tKjxzSRNKZi8wUqrZVC7l5ZoI2u0IkKgIgIQaRMibI8+hzGtavlgYZthTbreURFmgipN0VpuUKEO0FbQW+ECb4eVG1FLt9UoUHlRc0VmKaRhYUdW2/UygoMCqKaSvQRi2IwpWDOgoisUf8KXfIKuxz+B+F+F7EnBsjY2cnl2Px6ni+58Z2jrAKtaSo12ShIoqm1XdX2xJnsOPYce249tx7bj2XHtuPbce049px7Dj2HHtuD+bg6/lxu+XHsuN/wAmN/yY9gxueTG95Mb3kxveTG75Mb/kxv8AkwTb8sKKNXEEBfRVptntmeyZ7Zh/Mz2zD+R7Akn7bh2LUdkhHUlvy3Zbst6W9LckdeW/I6sN2G/J6ktyW9LdluySdksKt0tVjOuO7dkLKUs/4ntqe2p7antqe2p7antqe2p7antqe2p7antqe2p7antqe2p7ant6NBlZKt1tVjOuPkdplvoK809h/uew/wBz2H+57D/c9h/uew/3PYf7ntf9z2v+57f/AHPb/wC57X/cH+n+4QIQ6DlHJq8nwvdXiuBDlw7hOBvzOBvzOBvzONvzONvzONvzONvzONvzONvzOFvzOFvzOFvzOBvzOJvzOJvzHztdWZIqmn4nt1PF9ztPgPgaZJTQNjJUpVz3R3x8Vc1eWg6mKevYdp2HYdhEc4yGWCLiKqy1GO+rSXyqg4VKlLhzs0K0bsirJnDEaiF0IgERKpiI2TpxDiVg3lzTV4IZe1aohwC2kLF/9LG0hetzEVnu0OuwAK5BANlkTYASxWeo0n1h2Hax7HsrgrwUDRxR0+RiLVmWcAbDNUIrSQkALGgzNqU1Ek2YzjRqBtVLi7xLyJNNDQHGdX7sP4eQBoQCAHJcBtUpuyQjBx86S/OT4BBNC5GUnKXuVCgFEFZ0gTkRFluAERNfirhrx0DRxR0+OvmIapaloYy1hl6vie4Z6f3UMBFERU5z07mG/FqeL7nadw3R20oIULBxffnf3BbUIG1OaenYdp2HYdhBe8FlGgEJLa4JSANXxGsANfS5zYpi+SlUEcgdYCuCYFA8bYAKZr+zRLxVLQz5BFVPLfwaN0bqzRhiXcAS/oA7JASwglbwj54qyABwwr5B70AoiVWIt7DsO1j2PZUNNYALUzR1+RiLAeUjBmVoUipXsgQXCqJOoqryDCPUgwdjaKEAEkqAZWKHRLgreBFHWYmorV1zASAoqayLc1g7gbFXk0+c5PdA5jGcXPyJH0XropdNbXLy0YmdkZdFfFQVNeALVzR17hO+gYogNgyRdkgNYac1+siRcIqYOVRBlkb0IsBVCwjSMcPJ1HDKjUum9IslrChCMqDHJZdjXwCWGaAUrBVjD0fE9z6f23P2lYK8Fpyuakq9nuyRYAyhkrMqSCGRWSNLrrMPPyIxHkVhZesxXy58UuM3eHEMV1WT4XWmguzLDy/4g2WJ3m9KVbD7489AAqOU5CgQQwaaYNvPLEyTyuMpGojUYvWNLvJkRHScuBelvhhvxanDU+I+FpXjqV+0yhlefwHwnxHcHx6k4lLRawOd9h2nYdh2XFsAHlMhx1GCGhzZ5AYEBWB0IdDewTmaEbqU3nSpZTkKgG6lhmkOYLUfrCqRaCg82O0OaKJxmtk41HcNBs3mVH8RIbqyCoyKSAKJ4Q2hyK9lprKU9YFWXBsjZ1FduaeQnOVO6F1Q61LyCucOw7WPY9mtOaSkVoTlXyETLAcAMFgUbAaNquWlmtbQG4u2xYQNZaAFkOVwtBHwXRToVjKEADiZk0RFm0btFcjdUxBClleBR20C1wMavlFLbg2qo13aJX379YYC02ABLxLY1U6BAVUakzpyCGTsM70xTtDk3lUWUw0OI6qyjt8OsuLZSK0Jt3Kd7F0lWCVmAV8zmph91OGijVu3lqCZpBcwoVDYhSXVqPtFnq0qAKSF8Q6cJETWWhdXq+N7j0ftrZpig8xTqXWYykLaGgxSsA1ic2AciiQoQBaIiyfYmmVqcHJEQFcEtwA0UOyx6EAu7tAA0WE4ZqEupJxivIFRrvTEKceYWAoFuJ5ay8WcQCgzWRqesHWMARRVIHI1OQINapDWlGBXTuob2ani+58R8BCzOSC4pADbFh89odngsGmlOw7TsOw7Lj1N8mQBhahAx10ZcC8lUm2YCC+RzGOLbKowXxAjNItcWNgIZT6Ef0JNMdyUuKcGOkGUc4ctQAJavSE3naeFu5FA69Qwkhk34tJKthWFCKSelq9qsWRlYXJSC6wuNxn2xRsFSey4Kp/aJbCsriHYdrHsezQ7GBQtLQ+QiWtriRsY+VLALKGNYzGcecMNshnUeZsKCJuysWmFriqaFHUYPAZ+fKab6FzokdFxuwBrxGPrpZKvbjkvWIVFD4RuG2GJEIxohgOYLUG9pVKKPRJm4quDWa58sYIEE+AfNgCYUMU2hn4dCscFC1tDun5WBA5TWgpSrdCj43uPRfhgodVHYaWNZqQ+RS2wFeNHOFuhHEqZQqYwjxtpNJg/b1A2nMmHqCEIrAhFRqu/blRuzGQ00xzEnRhjjW9YhA0Ryzh6dzDfh1OGp2Hc9Jn5QaQwozfad2dwdxqFhUtFrA532Hadh2HYdh2HwmvYdh2sex7NSsulIrQnKvn4mp2VSkVoTlXdvykCQw9YTzU9Vjx7/wBH+Uob8Opw1Ow7lNizmhQu2bksx2nwnyzUgSKhGEGpesoSSFggtZqe1Z7RntGey57Lnsue2p7Xnsaexp7Ont6e3p7QntCewJ7Ah/ET2RPbE9uT2JPYk9iT2JPak9uT2xPZE9gR5D8VCBBtC9DuztWAQAEvPj8phhhhhhhhhhhhhhhhhhg9rWJCBFtC9D5Hbdj0F1fWicNficNficNficNficNficNficNficNficNficNficNficNfiPA32mrwQYStQb0odw/HUruuhSwedMeHPtOLPxOLPxOLPxOLPxOLPxOLfxOLfxOLfxOLfxOLfxOLfxODfxOHfxOHfxLJ38GWEpBO4ZqcNT4T4CJSKETCIuyodlSgdlDAX8B5zhD8w4Q+84Q/M4Q/M4E/M4E/MOLPvOLPzDiz7ziz8w49+84d/MOHfvOHfzDh37ziH8w4B+84j/M4j/M4j/M4j/M4T/M4b/MOG/vG7gWEFIi5GFARQAgHIzOK/wAw4v8AvOL/AMw4v+84H/MOF/vOF/zOFfzOJfzOJfzOKPzOKPzOCPzOGPzDhj7zhj8w44+84Y/MOMPvOIPzGiNbSHDyXulPMeHUAgAYAjxL948L/ecL/vOCf3jxH948O/ePEn3jwh949lQpdinmYcqT8oL0BCEoLYoxUZsZMY8ZwZSYCZiZaYaZ+ZufkwwYMGDBgwYMGDBgwYMGDAzskBGjLZWu5C5+Wfhfgr+RMOkS759wzU4anwnwE4/1dh2HYa9h8J2HYdh2HYfGdh2HYdhr3J2HYdnqH7u9GiBn9sjwIXbLgbxPQebK1KhCxQagkRFG52C2ztUqWzcvaZW2tRu5ERo+XEnJmTrVfOr5RjGMYxjGMYMZsc6mWciHOEi41sCBS0RMdRWsf8Yy0tUChmiZ+xiuhPWwdWIgd0PkRUFw87kigltAltFwpKxAteRyBVSmGjF5701+s+orTDJvC9+5e9e51eq5kW+o14x+B+DU4akO54f1dh2HYa9h8J2HYdieL6Q9VyyzpF8FwRywYZE15tFpJ2kyy6OCeW5GUt5cdags1nyHIy8Dvo7DxCqlDTK7KVtAN3gdsUKX0br0GWgBGOxrGQO0KskBBpqpa8LQthmlKWUsqztOoGskFS8ucvBMxuLlZYAtEs55ioy7Te/QGA0MmDRCcag6bQz1chlkab/u8FJgPM4mYgqXXKwN+BCIGtXbAbPgwyuIaNYDDt1ucJA3LEU7DXuTsOw7PUP3d6NEXtSiPyonG24LnJH6EqpcAdAtq40VQOlUEAEyEDyYYlRIAoAMAHzAkd7xF1yu8xjGMYxjGMYpb00ish+vRVWXlZlcrNVJKUqnUrhfBtBYcoAgHwoUKqVrJtSIFy+Kyytqy2omfzZrI6A2lPAsGyIpim4utCFyn6eIZyTI05OXeHgBeY83mrbuXuHvvxOrv+aPwPwani+5DueH9XYdh2GvYfCdh2HYIKCEh+TbFUhiP3Pb2CBrYF+So4rXLHIsJG6EuXDW1ksqAmdal4Sln78FVk063UiavPE4F/myO8wlGg036b4mcJQKwYKdAww4rlSUCARIHwLeAFvKaghWEPKck2lTF0sKSF5vkatLoFGhDYS7DmjVaA4JhDDn4F6LORcwF1ERAb5sCNZVxg1UNcQFy+dc1GdBbKWGiQKNSUyIoV9yC28aAWIACx2GvcnYdh2eofu7olIBxZRoS3YwXce/SgWbmqAvqAvppv0brLXf6IR5uGTVVAHhGwlu+I5BBS1KsAypKdWryPZCha2ixmIAd+wIU+UnYc5S8gto2z2kNE3KkowHHq9CIYI2pU5no8LmOWQy8sfWUJFg3bjF05fKpOTMnWq+dXyjGMYxjKBzU1WkBBAkhl6C8o48ZlYssqtGGuRQeAYKGebpua5tBSN20ut1eMpmk2MtNW2ZQu9JUhY7cgojRM6S2kSVNFN2EIVvEHF3SXeiMlrwUclQZWdCpEd6MwMIcGili5yzGE1UaZFOYwjeJcmc2vhFhmoZCqIkKy0ZRaLGWjNWPjJrIGt1khZSIKIZDVWWAc6BZVxqSHxdXcYpsz3BfXGbdVphg3he/wAi/E/C9unxXFq/0GvHudbhqfAfAdnD+rsOw7DXsPhOw7DsOw7D4zsOw7DsNe5Ow7Ds9Q/d3VzgdxepESxcjZCvQpxQkS3iaIBH+Ecnoe8Zl7xGRpUGAvEDHWz8tCEt9TqMLMyRIiAEbKSr9KgpDWlXcnihaq6SmIixVsowuzJqEgCi1WaDc1VrgAF86ZkuUrl6ChIs2VDvVAQOI0b+VSWy0bWu3kW8xjGMYxgYXsWxUaIOtARGExwA4AbLU5ooORBB5ABiAUg15oOpF0Q0OHFAQPI0S4jdiWm6yy7XqMqMQDpoGLgtfXZrYbc3L7AsNqdPBtMJVggKeRAZ9ozlFEFnRHVYvThF6gLpRhx0aTke+HyLGMcZc2rKgD5yzooll5sOhFmggVspc0NV6byL0W8tHoGzAsSZwvShcOBS7dyMxlgSGBdXFg7p71+F7bvkXLrFq+fc63i+58B8B2Z8flPcUP6Ke4of1U90Qt/InuiH9RPdE90T35PfkP7ye/If3k9uYfzme3MP5zPbmH85ntzD+cz2pntzPame1M9qZ7Uw/lM9qYfyme1MP4TPYmH8JnsTCz8TPYmexM9iZ7Ez2RnsjPZGeyMP4jPZGH8RnsjDrvJm+8mGZQW8t3dfxjP4Bn8Eyh+Jn8Uz+OZ/HM/rk/pEf6qe4ogAa6J8oKYjWgUvnWI/0Uf6KP8AZR/so/2Uf76P99H++j/fR/rv1H+u/Uf6b9T3N+p7m/U9zfqe5v1Pc36nub9T3N+p7m/U9zfqe5v1Pc36nub9T3N+p7m/U9zfqe5v1P6N+p/RP1L6fGlQAMkG6q949y9w9600hkIuyg9j8D263DU7ssjtJQAs0LmofCdw6DHIrV0tnC/5nC/5nGv5nEP5hxR95xR+Zwx+Zwx+Zxh+ZxB+ZxJ+Zwt+Zw9+YcffecffmGkVACVai0TlUOIMABVjVt1nCX5nCX5nGX5ntH9z2J+57E/c9ofucZfmcJfmcJfmcFfmcXfmcffmcLfmcCfmcQfmcYfmcMfmcMfmcUfmcS/mca/mcL/mcL/mcX/mcX/mcN/mcN/mcN/mcN/mCYgUYAVCrVPOcN/mcN/mcN/mcN/mcN/mcN/mcN/mcN/mcN/mcN/mcN/mcN/mcN/mcN/mcN/mcN/mcN/mcN/mcN/mcN/mcN/mcN/mcN/mcN/mcN/mcN/mcN/mcN/mcN/mcN/mAkTvqr21KGVfkGczG5dVdWLq+8KFChQoUKFChTYDYbUKHmJr2Ujk5W1yNhw4No9zwBIjT6M26CHuPBDAF/v37973/wD/AP8A/wD/AP8A/wD/AP8A927XNYbiEDcLsBYUFiJhEj8D263DU7sFlkIA1MhChHMPhO4471ghCEIQhCEIQhCEIQhCEYxjGMYxjGMYxjGMYxj/AIaTE9Y2DWy9vnY8b6OzivX3ADm+Ac3Y5vkzr8D263DU7shKCZpFg2gukO6O3jvWCEIQhCEIQhCEIQhCEIRjGMYxjGMYxjGMYxjGP+HrLm1tFaV3+SA1k8Zzb1aE5aaxgChZ3GSMFDTmtzAMl4BYTPmzfWLIUBsXAGyLlgVYYUkctSlWCBHKfbH681CzXqWOQZUDkxrKsXjvuMBwdKhVi8d9xgODpUHWx9wdAgBJbQC2gnPkI0MmDON9HZxXr7gBzfAObsc3xIhFqmg+r8oN1uGp2nwHwAET0TV15gKvV17s7eO9YIQhCEIQhCEIQhCEIQhGMYxjGMC2lNXDTsHkJq9V6PdLIAEbHIw2LDdxrYApzYMDLFFvLLywPC0UkYCGrlAR0LQHmoZDue7lDUAwlXdRWFgaAICJB2pro00kIRBgQgVphWoIELlkq+FNBZdMmAIs5Uhbtm9QYBYNfTYfAIQ03h3xCOuGkoEDQsDTL53e0/6vDaNIqEpwCgiQaI6mGFwQAR1pACrnK1ZCEGYlIQUW0arEP+BZzPPi2rjGMfJByMD4dWcNNvOqZ2csX8Ac1WqrV4gYNiroahqzdr2pUwQJTKF6OmrMtfGyTFkEbIWnLPOo3qn9cSi7MqrMuARLgL9EYpN1uYC/RGKTdbmKWSrKI4VqiC2rbAKAFAYAJxvo7OK9fcAObsY0OGuiWsNOadYBJYKfVVm+qORGRq4J5Nskc6TqSY0J0BZqxb0b84qettfTOanjphNZE+KNuSgdO/ovRjpLlBIxZrsdFduocIgGiogAKxWpeEBLSE2POClo6pH0bxBMwa2UIviF4jBvB+Tu63DU7T4D4PwJZuuyurzXdnbx3rBCEIQhCEIQhCEIQhCEIxjGMYxidlrAM3qA3NcQqRUoyhWTlEKSPEPq1EUVYnJUHACFkRLDk0GXKDXkkOeqZq6kcYhpaHgerlqzCcnVoiIWguti8QDLAxKHSeGCxJqs/m3HcDLapCDiGYbxWAXzTRChUNRDp79muUIIp4nNhlao54oJ2hheQozQrIg1bCsb+31nUaLlpGGM4k9dHXl5IQXIR7OajNClqEhNhIIDMAAAP8CuGvHYdHNnX5QMaVJp3xRX423Efgv1VYOD5fmiwBUKcKXpepouLESbnzjcxsbQpLv5DkVoKiovRmBr0Gg2AGbCnJF7mwd7EK6cxdXt8b6OzivX3ADm7QCr4QipAaGiuV5YipZkXxLNwbOQbAZgCth8nxa1R0ApA7Fg9jgBL0NVecMY3dubAZjGC7Qi56aSJMmrMZWsVWf+TbClDFWgc8wynDFszOvkHS8yhPxtNk8QXlQvARoGqNxXoFCisVVAw8AUQNUZRlOrn5O7rcNTtPgPguZnq2rvzCVerr8J3PHesEIQhCEIQhCEIQhCEIQjGMYxjGMYxjGMYxjGMf8AD/C/ycYxj5QBrf4r5jECzQnT142CwEmtadI3xM4SVcIhckKM4Ighbdgw2KyoGowRU4jtSJWuirSqjGlUjFl1fCKKcE83J3RKHgR2+N9HZxXr7gBzfAObsc3yl1+LX4anafAfAkFFc0hRNKDp8J3KCJYNS2l1D+vh/Tw/u4f3cP6mH9DD+1h/Ww/rYf2MP6uH9XD+6h/bQ/poMF1AAGVVgQgFiJEYf2EP6CH95D+kh/SR/pI/0kf7yP8AcR/oI/3Uf66P9tH+7j/Vz3jH+tj/AFsf7WP9DH+rj/dx/p4/18f76MEfgAwwwGc5aAsRMInz+GGGGGGGGGGGGGGGGGGGGGGGGGGGGGCtwFw6THhWM64+R4vfUjdtO70sssssssssRpEzb6MoAlpH6djYyWBLwiQvsM2rSerSKjSKianSGuEvSUmMiIiYnT5HBhhhJJJJJLHHHHHPB4xtSjZJzkhUacWkaTl2PwPZr8NTu0ka2ZpNpBUZV+E707zYoUKLXXB5MyuOulUDRpR07s+UaoRCCACYVoxiU/tRD9uI/syj9mI/syn9mIfsxH96UfvT3dPd093T3dPd093T3dPd093T3dPd093T3dPd093T3dPd093T3dPd09/RpBShAq1XApjGPn9etQ0NZrDL1dr3L8nq5pn4BWB9O1+B7Nfhqd2nR20oIULBxfwnwncHeWiLUACppCg1rLYShZKFWtHXuz5R7kAY/K2xGTJQq5o6/JveEEzlAEvRQph6O17l71+IgtMED6gkPPtfgezX4andtl18QvAFoytfCfCfIHwBG7r+QWSy1MaygHzSUisCbd2fKPcgDH5Wg3zKUitCbfJveABi1QHI1bqsePePevwsBRbTB6JbXn2vwPZr8NTuy3OSC4pADbFh3R8gfAUamoXQwjFgzQqtQULWUPn3uAAp4GXQUWrZgjUDC5ZDW4pfQTI3FSNtO8hq9Fj0ClrjbxYRypeq8mhvoyC1vKVppjPuKXDxjVkwhyDlVruxDAWtZSRc8hlaFpZ5g5E1Fk86m8BDCFpYwCcVoo6eDOgrQnde0qaih1BoBlIi2ZxcCoZMVnTxe4k58xbrEojlWC32WChQQPcReVdpQFBBmldzoVjgoWtofJveD3JNCmFHSURGWhDThpT0/wBc0Iaf6Jpfrij+uCX6YJ/ogh+qCX64I/rllyZmKgvXY7p+FgAANXDqFtdr8D2a/DU7tNkZmC0aTQebHdHyB8BIQQVZWBSqYIADDUqRWBHp3R8q9wAdfq4G2vK2KFmGLqzBJhIANqapmIJFgIBNBVzQZXFP0sr6uFaG16sB3nQWpi2xd2LuAvOhDiTTZX1LesIes05m1rEOUFRFzQPZoWZyUVTr4WFBfIA8yNghkoDVJZNQVBJWOr58KpKM5esQrLXNHrNMvkT3YK7Xq2iPHk266uuuqKomXai41oFcaKOncgEw0qkVoR6fJvecX6++AAaviFPwvwsLX82H0RKfG9mvw1PiPh0izgQqWHNyYx3R8Z3J8AYJZFUVyQ1LlZIQFjAtZruj5V7kAY/K1ghFwwLW6+f4v198AA1fEKfhfhYQwhgKuwq/G9mvw1PiPhNBofQDY6sY7o+M7k+Dc4DyVDBtOk0w4K3ZTF3nuj5W2tfoRARsackV/d/cU/d/cW/ZhT9iFP3IX/Yhf9iFf3IV/dh/q495x7zj3nHvOPece8495x7zj3nHvOPece8495x7zj3nHvOPece8495x7zgP04lFloyGtR+f4v19poEkz5bEaqARxqKC2HOKaQsS7p0lqo0uRgNfSGyCgr23dUzf9CujLkEW7FCbwdbkiYaQ+kBlDoNtOsv4esIMpPccjpik4b6zDdKJSYCMcLeBVLLTCA4DBhGHBUkQ6mc1saviFPwvws+nu53XXz7nX4anxHw0WtKqlNdGBsd0fGdyfByB5qcfIzV61OXMDWq6zV8u6PlSs2D1bkgwXQVXVjWNpO1jaStJWsDSZpM1ir/0k6vzfJHgJthd1q8E95w/0cGJsDIplEIL5W+M97x73hL9uH+ij3VL/fS/30+7p91S/wB1L/dT7mn3tPvafe0+9p97T72n3dPu6ff0+/p9/T7+n39PRW9v1kKr4XF+vtOXZOkbyjLOGLXCNRAqwwAtzQReg6WBnAhVLVuHAmyCISMqkFYxU8lbLeQLpddIUEAyQ6OUIBq5jbWBuqqF22fQXpCim5AUqWGBdIJ6ImFNKsDcl1UG7rWiA8uxq+IU/C/CzXqrmRb6jXj3Ovw1Ow+A+EFGRmBQumLmox3R8Z3J8FaPkYF1jVddMzVK5Vu8MXefPuj58AONdPlCjGMYxjGMYxj8pHF+vvgAGr4hT8L8LGl6y23fm7nX4anYfAfD0mflBpDAjFd0fGdyfBzB5qMfIzV61OXMDWq6zV8u6PlSpQJZZXTSgtcs3chFc4NkvWoxV8OUKmlharodLC1Jgmq+RQ8noXDtQIm5tUasXwarcK5WopWUCI6uQzBRCC9a9UHLkxqXGKYHjtjqLU4vTRqjgdPIjZRbANEIyMjk6HFGkNLVcNDlaoClYNh8mUYxjGPrDNdIOqyWZHMJycpmCoQgxcTeBffslyzEHgLbjZFQvlG1RhgNatTmVUbetGmLrhyZEI4KvQ7lKb1iVXnGPUksLH1VjGGD9myb+4MNMo4XxdHWoCiMw5lR7U3r82lSksGoZShMDgJNFZC14nEZE5QdalKWtHJmKoV02atHlu9JkK2VcinMFbsXf62Y2ZFtFErU7yEpjJCK0QOlXvFZakFaCrNXmqRF5i8hSArIXnKRloys5QUIcyhzfCfhfhZp0Vxat9Brx7nX4anxHwluNkExSFC2aHuj4zuT4GEEMxLKhMiHSWojXSq0wq90fKjwJUbCirwJomIzRv6PKw3RAy25KqogroaOsitBZ8cdUVRsWm4KSK9XhG2F5QyRQgk4zajTMgoLVAzsBLIRbNLQCSTFkAwRpAlTVqldObvyqRawFKwWPKkKgMRzIQLX3TOM0VpD5oav5QoxjGMNxiY4i06rgG+UaOMNsoCC1gWFXFqUYnoFykBcypi3AJ9htNVVcS6hRmxhYREp0+jQk/JuEc7FYNrbtaCF4/IR+uX4LN1Ko2KEA5yrygPnaUToFvUwubuK/NyhDHAWoKAswR04lbPReML1JabZqZ5QK5g0XRWqXbz6pPWLi73Km/HCFVsuA0i+2YDbY/JFcgB3uG1jOoYC8sWPgfkH4X4WNlTjwdVyfr3Ovw1PiPhIE5elftMoYTl3R8Z3J8DTATqCYLyFibAQVMg1kO6PlVYoApopEWacaxJBr1sFZhiamjTw1+PpeAdwiqiIlpSNBejxp6WVgzBKtStVVLXZof8AstQ4MBZMYI72TgCK8dRGoScOWultj2rJem8XtFj4ZCpQ9qLIF3E1L0QG4ZURo410+TKFiwVLXBBToGuUVSAlgBRkYFrdtCMV7cG+BQlGLsgjwaicYrccilqeW3a+M8zTzLlDboiCGvUo1UI7HsoDQW6u4W0XPXV3jhIDE6FSn29ISiJQGgBwwM5aypZ1FJoTdaMS+x9Kim703wMygJhUIO1LWkBaXTT6uQdCwEguhKjFegOGZGDA+MUBnKXhPUjqqKLEwwWN/RXN0h9XcQBNZKQo3phjPk7bs6tIRgsqOnS/Hk5cNX2xdjAtxIxHKaAuwRq4Sq5H0GKIiVbtNIRMMjyxQy1MJyWAoWYaUNeTzKmtpK4wA9yzcjSrRBz10victWiH1lpcZH8NEnKSQ84G+GYirNybCop+OA2W18AhXvR+B+QfhfhYiN5Oh6Dz7nX4anxHwktLLQChyF0O6PjO5PgQcVrkCwNEM3NQsstorCvO+6PlQ5OUwasJn1M2YlQ1Cr53TMtzDRV7KQZ/rABzXgVrF/jejGtZ1czRmALvidm+tAZoKG1zIePIZBe5RoVQKsfCSc41B5m0QJupNi2OhSqqM21wNEZD7hOkU0xKOgPRisuFEGME410+TKLRUJWolhu2pKWUvTrMrK4cGA8osVtKkVcqGDJzSFIuoTu4nQpAVXRWGExSHU80rDITOwhmDWzOgGpcNOc6p2y8FoRVUnfOsolKjqSnuL5O0LA2ExTNrIoxYKF0pcTNEuIA4sa6i8ypgqinklLoZdV5hoaxAm9ArUMu0oCu/U8rj8WxmColQ/RBa1TpQYAoEvGwxKs6FrGhnDKA/cYJQADoddY78Ecf4CeQ3iSmOB1FHGPJh0b8WEJGaoBV2ZQmXSNjkl4rKkp12nDIDbeK1IchtaslkDFMNnXrCWddv6q+rlCaC4bdgBgGh1zKPXquCG+cFKamC8mYdlCBHRyfHCaYfMZwLeqx4d49w/C/CxNnueH6q1+N7Nfhqd2SiyEAamQhQjnuj5A+BhpU4BGErC3FxJrAUt2rJe3dHz4Aca6fKFGMYxjGMYxjH5SAgsiQQEDYGjP17x7h+F+FgYmwgX0oA/G9mvw1O71Ys0RgMdnK6vNd0fIHwauZdWFrK6c0pkcUm0Vre/z6BS5xIJpHVgqW8V6yzivWW8V6y3gfWWcD6y3gfWWcD6y3ifWW8T6wAdCFxHXC/JOCOabS3A9Wcf8A5nB/5gBC7qIJmDqwVON/zOBvzONvzOBvzOFvzOPvz3pjwYMaBAgQIECBD8YjRo0aNGjxkjXeGtXw9AjES5Czq9HePevws2KRAdVNe1+B7Nfhqd2QZPRNXXmAq9XX4T4T5A+BBa+xQtTVsC9MyzldLxbVpjGO7PlEQkckKF2zclmO6FsekBwljI9PldWrVq1atWrVq1atWrVq1atWpqgsyKpVwaMbfJveNlDKhoL03hh6u8e9fhY2hbAbPS8X6dr8D2a/DU7vRgxTWBno5aXmvhPhO4O8oM05VXO2urM+n3Jya4xnuz5RioQ0BRi1eVY+fSfi+5OcYz8m94xqJ0Kr5XL+jte5e9fiQuE8lXi5fLtfgezX4and/RPAXekslXZfwneneYtpcnzNrozPpdy8mmMY7s+UVvq/QD7JjHeJFgyREPAtChR5jAYlEdCrGToZC2ihA6L0Z6yzomkvylPZA0peSZDywMsrOt2AcIxYwHI/uORMEFWilvXCNaWmKHAHNDMzRvVGXbApLKukaJEX2+RmgZAUpaZGeR0oyg1vGTBsHi4kd6KGUKYxLBrBfKc4bMTEk0xZWsAjlGgXKBIxG6LtC8+koMqcw9hVtjYCtaEs0UOItokNwGKBdrAlcyiOrnI00RKM29n4X+TjGMfPq09FM88n7O17l+TVrwBXJ5dr8D2a/DU7T4D4EgoXNIomlB0+E707k7b4jAsEVszDqzLZb6WKNGuMZ7s+U0OxiB0sGL6Dp3iR18TJLiRQwu6xrEm9PYkrwRbgMiWE3Xe3DbA6qMZRrFD8s/7onoEFQDVd9MYjq1soFUZvOGtgwZs2DoeDRbdbc0FaiGKFwf4TuNbcaCEihCoVWCFpmXlcHQ42zhUgdB1LHch8udbAzgYqhL9VrCL1pmnScgJHJCgEZQ2580KgjOYs3CXIFCbaMoGGt6pNWGLALAWm5ZmkdKEtIgrBMxuC6sKI0WuxUNax1BACpNTTstmvzijRzjGfknvdAtBgHOisf0dr3L8b3mk2oIG6sfLtfgezX4anafAfAnSlJM0gVGVfhO9O5O0oWWtBRayOOiV03gWKVpjp3h8mCTEZhVaRYOTHz6Sui8axSuMdPknvSSTCMBHM0WZer5N7wkEHIAR0qx2vxa/DU7T4D4ElQLijYAsHA13Z8gdpDQpwGMJUNOagBUApKtWWt+8Pky2GyCYpChbNDj59IQVBUlWrbW/yT3oQWRIKKQoXRj6d29w909gYiwgX1oodzrcNTtPgPgbLr4heALRla7s+T8YTMi8S1MBNQ8cqRWBNu8Pk/CJNTyTYYS8d1mWt0hfWmcN/icN/icN/icN/icN/icN/icN/icN/icN/icN/icN/icN/icN/icN/icN/icN/icN/icN/icN/icN/iVgCMMCOSLxWkeBPvHiD7x4g+8eGPvHhj7x4Y+8eKPvHij7x4l+8eFfvHhX7zhf8zhf8zhf8zhf8zhf8zhf8zhf8zhf8zhf8zhf8zhf8zhf8zhf8zhf8zhf8zhf8zhf94p5yi1aZV7OlD6E5FW6rGz2PcvevwvYCi2iH0S2vPudbhqd2k7mvKpZAEWLCHdHcHdhCJCohhTF0wgmCFBQtZa70+SDorWUALNC5r58AmCtBQt5ajGMYxjGMY/JON9HYXtC1QikVboUdj3L3r8L2F4DUJ1LNdzrcNTu9XM4oFK0DzWYh8J3p3J2WHgZ1tqApVMTXDJeEVgfDvT5IEw9UabWVRFCL8/pycxwjkPhGMYxj0800x5rV1Eyw28Dlz6sGWWDmZqRml9Mi6wcdPqK+LZhqvdwpFFdBAIOQgKKlSn6KXhq3Fy+cLg4XXR0FKqtS9LYY7AII4A8gy4I0xHIQuihplhmPRwVOWFADM1AEpDwJa1theIbsDmfqoIyekLM1rNEK86tTEolZ3AIVxp4HYRtLZbMBO12w3IBJZqDkLYToBXzSBlWXFGSQjXy1OAYCw9XxuN9HYBoVyQcilXNk+Se9IPSsI+iKp2PwPbrcNTu0nBkTYVNjoxiHwnendhglkVRXJDUuVkhAWMC1mu+PkQEqTIgsFUF0+fpJCFsYFvNRjGMYuwnAtH5NaEAz1CZLNgwaNMKNiq5Ghc7eSaKM3lGdetYxoBBd4UeuFkvY/IpzLigU5S0jSlsEJp0O2KYo0HvwRYVhYCCyCBQCxmyUPEd0lLQMauwMdVkOoBhEZCpYVOx6iFZarhaAVl2nXSopVRDfOjFNcvuDaBqqpYBC861qXDfLLvdYAoTD8Xu4dtwhpLIKg2iQA4oosAlOY3JC7LO2VRTe/jcb6OwALLYGi2hXSl/JPekMIYCrsKvY/A9utw1PgPgO00Gh9ANjqxjvD5K2jzMC6hquumZolMK3eGLvPn3x8iQAPRvXXmAq9XX596aclu+i7z5xjGMYxjGMfknG+jsqL8yzB5vxiPcvcPegD0ltu/N2Px63DU+A+A7dXM4oFK0ByUY7w7g7knn/AI09xV61NmjW0M1eavvz5D8S/b68ZZr59iVJefOdWaR4j+0eI/tHh37R4d+0eLftHiz7R4E+0eEPtGYGVH5Io0aNGhQoUKFChQoUKFCjYScUSCDCOnZgeuRMdV4Xv3T3r8L28BkOpXj3Ot4vuQ7oFiRmBQumLmox2HwnendVo+RgXWNV10zNUrlW7wxd58+/PkGkR6t678wlXq6/PtIj1b135hKvV17ETAFV0A1nAn5nGn5nDn5nF35nCX5nCX5nEX5nDX5nHX5nHX5nHX5nHX5nHX5nDX5nDX5nDX5nDX5nDX5nDX5nDX5nDX5nDX5nDX5nDX5nHX5nA35nG35nHH5hQYKcwq9VWtbaYnGP5nFP5nCv5nD/AOZxX+Zxn+Zwf+Zwf+Y8b/ecE/mcM/mcQ/mcG/mcK/mIiofRRIHSwfXsfifhe1pestt35u51uGpDuunQiqNAUEYQcdh8J8uihHdUVcFNC42wChQyDWa+QO/SSpcqCiQUHT59JKlyoKJBQdOziHVGMYxjGMfkHTuAHN3QAde0U98kkhkIuygx+B+DU8X3PhPgOwDYYgIpGAWa707g7lBBF0SyoTIh0iuI10qtMKvz7YaKRTrBUpVz8+2GikU6wVKVc9nEOqMYxjGMY/IOncAObugA69wKe5bKnHg6rk/WPwPwanDU+E+A7CBOXpX7TKGE5fKnchCZKoBgXNWxpiKFDYNZL+fToreUEKFg4v59Oit5QQoWDi+ziHVGMYxjGMY85oe1wQhFJCFsiqG1CoBbBb+x0qoAMTYGUc6LaYqeAGVYOA6kOyvWPqJQci1l1a8bjABqtGkivqhGArFLZE6L0pZRWN+pqcq2pHkQKuVU76q2hJRsPzzZEWEsGKYukRgviaGFgFGItURLLSi4DVZbSAj4yC2F0PKX4Qznd81USGV2iM4zEKUnQJtzkiDsOVRKPogMV1BOHQ8BEGlVPFNK+hwLCpPaXyrDdAncbhUnPRBMoBcysixCrGIvfz1GIAgDlBclVlQfNhRYObFZYkhuhzEAtk1WXMDyyV7KyaFIMZj88R7B8Fkri13MAde4lPwvwF4DUJ0KF9wzU4anYdyQlBM0iwbQXTtPhPlvGEzIvMpDIzWPPK0VhXnfyR3vhEmp4IsMrWfn/CJNTwRYZWs9nEOqMYxjGMYzVxUoBvEUxkQ3WgLgYg8VwYUroOqfHrAJyllSSKyoS4lUGkB4YkK0RiV6g4ywlcvesFMw4GCEZrG9KsEjVOZKXT72F0UGVt6semVopKS3IFOOMSlJbO1aClycQI+SxZxzKWNYeSvKuSaBac5y6uFFlWSppUJoYGIVx0BNyVHojpIdArR+pVwV1lWSgiNNTWPKnSOSBTt8EPnhKHIJUilJpTRlZoiTO3Q2XMGcQwF8u1HEgH1iWZVWroASlLcHSEdzwlQ0TRagNN8qcDugC4iTakfWIpw5QPVMWtQDd3S2tw/aB2tBQW2vcAHXslPf+Ek1urQvuGanDU7DuQzSgByEuEKG898dwdww0qcAjCQhbi4k1gKW7Vkvb5Me8LY7ILikANsWGfny2OyC4pADbFhns4h1RjGMYxjH5B07gBzd0AHX5GUWJrEC+lAH4H4dThqfEfATWCzZTAx2ctL5fPMK41qCLWVx1SuOvAuStcdYfPJszO4VWk0Hmx8+mzM7hVaTQebHZ66Yigj/ACn6j/O/qP8AC/qP87+o/wA7+op+v+o/z/6j/H/qP8v+p7D/AFPYf6nsP9T2H+p7D/U9h/qew/1PYf6nsP8AU9h/qew/1PYf6nsP9T2H+p7D/Uf4P9RP6f6iP0v1Fv0P1DxqQNFpRdckSKfofqKfofqL/p/qL/r/AKin6/6i/wCv+pw6+0W4j0i/EekU4j0i3GekX4T0ivDekeBvtGxaJUBwGlP4n4X4W0RckKOt0O51OGp8R8P4LOO5Vrq6/AfCfEdwfHfAYFoCpzcOjMtlvpYp0aYxj5/Q7OIHSw5voOnz+h2cQOlhzfQdO5X5N7dAtBqDOm8f2fG9w/IaTahkbLx8vjezU8X3O07i6oMW1wGejldXy+eoM0lqrnbXVmfT7k5NcYz8sPcsVCGgKMWryrHz7FQhoCjFq8qx3F/LsUCdCq+Vy/o+J757piFwnkq8XL5dr8Wpw1PjPgXJKCeVlUpS3nujvj4qJNLaq5210Zn0+5OTTGMdp8pfcEBCCgAMWjyrHz5AQgoADFo8qx8+QAJ0IK53L+z4nuHu34gBhOgg8HL5dr8Wp4vufGfA0FFcqCiaUHT4Tuzvghv7gG1NUwa1zLA2aXiWrXGM/MX8YIQGQFC6YuajHz4IQGQFC6YuajHw38q/CSQcqCwvRWGHo+F+aJQlgFnrWJ9Pie3U8X3PgPjaV5eFftMoZXn8yfDq5h1YWsjrySmRxSKRWlbfNX8PQ8uUWkMCNHz/AEPLlFpDAjR8F/N9AiEQ5Gjq9XevxPwvwvZsUiA6Iadj8ep4vudwdqGwxERSMIsXD4T4T4jvSGhTgMYSQac1ACoBSVastb/CfLX8BbDZBMUhQtmhx8+Ww2QTFIULZocdl/OhBZEgopChdDH0+B+UfjDEWEC+tFDudTxfch3XTMRVGgAKMqHzR8ARqNcgWBqpipqVlkpFYE5V87fYCZ+1K/aZQwnL5+sz4qV+0yhhOUv5d+MEMPmE5FPVY8e8fie6e0EjuWH6K0+F+DW8X3PhPhUC3AasvAABUFigbYsxOPvzDh77zh78zh78zh78zh78zh78zh78zh78zh78zh78zhb8zhb8zhb8zhb8zhb8zhb8w4W+84W/M4W/M4W/M4W/M4W/M4W/M4W/M4G/MOJPvOJPzOJPzBh5CCGFLLphCOhQgLWWrnvxPfie/E9+J78T34nsyeyJ7InsieyJ7InsieyJ7InsieyJ7InsieyJ7InsieyJ7InsieyJ7InsieyJ7IjU5WFACzQuanD35nD35nD35nD35nD35nD35nD35nD35nD35nD35nD35nD35nD35nD35nD35nD35nD35nD35nD35nD35nD35nD35nD35nD35nD35nD35nD35nD35nC35nD35h1lWaAFlC5qcK/mcK/mcK/mcK/mcK/mcK/mcK/mcK/mcK/mcK/mcK/mcK/mcK/mcK/mcK/mcK/mcK/mcK/mcK/mcK/mcK/mcK/mPCv3nGv5nGv5nGv5nGv5nGv5nGv5nGv5mNLELVqMmhQ9vDg/KfHjx48ePHjx48ePHjwYMGDBj3AwYMGDBkyYp8aGPdXRT1j3Gt4vudh8ZOP9X+/wLr8/6l9/n+EdX+H2fgZreL7nYfAfBnIFDZKY4J3oAVtCjjE4N/M4N/M4d/M4d/M49/M49/M4/wDzOP8A8zi/8zi/8zi/8zi/8zg/8zg/8zg/8zg/8zg/8zg/8zg/8zj/APM4/wDzOP8A8zj/APM4/wDzOP8A8zj/APM4/wDzF6axHDGG2i6EpkZovW++WM9Zwv8Ambng3m54N5ueDebng3m54N5ueDebng3m54N5ueDebng3m44N5vODebzg3m84N5vODebzg3m84N5vODebzg3m84N5vODebzg3m84N5vODebzg3gioBs4od7BSrqYBZWJxlN0WgXi2BJhBgBdreXLCt5vODebzg3m84N4oVyt3frOGfzOGfzOGfzOGfzOG/wAzh38zjv8AM4//ADOP/wAzj/8AM4//ADOP/wAzj/8AM4//ADOP/wAzj/8AM4//ADOP/wAzj/8AM4//ADOP/wAzj/8AM4//ADEiRiVBKX5IFo6Qu1wOQqDuarRpDJYaE7Ja2+ZELeuWLCU4U51ys4Z/M4Z/M4Z/MVVb1t+bGjRo0aNGjRo0aNGjRo0aNGjR4cOHDhwdA41hRXZoA1cTL6GMIaVS7odz0gQF1c3J69jhQ8XTaW4Ot+fB48ePHjx48eNGjRo0aOHDhw4cMmTJs2bPnzeIsKRRUt1PP4H4dbxfc7ogQwIE0FTY6sY+UPiUAB1ahIN1lNBWs1DnoHUcRYqW4d6vsPl0SgBslgq0NrI9aEvIAYEa2a8rlZ+S6zztAOTK+fUD/wAkSHdgNBs+QuXLly5cuXLly4OwSQ2NBg9PpAhRQF16Cuc7pvAEDYhK2c84y+mCfdFKFtkW8sM+1CN0KA/wAeiXQBdgEo8z0mLjqGKjRZW+VVDhBFugFBn5R7+oektt35vjezX8X3O07jVzOCBStAclGPgPlG6CVsSxEONUZxGx7CDMg7pRaUhwS7+A+TRaYFzhdQUpduOcXMyShiULQ82tdGJLgKkiLNVVLMx8fVRr31KvNfNWhdcr3WgJS05qgqqkLtjVRlDKoN4PMAEhbXmKCq+lQBGlSaiURUuciz1gLUoxugAP8FuAmYhBW0AuOUfcjRVrAy1FJ+kuabiAWInnbNRe/wAb3L3j8L8DNPiuDV/oNePa/FreL7nxnwUGZryqWUQFmh78+MlcGCXIABu6uDVxHDZbCS2CtVQAHeHDOLyDdy+L8rmxgZFgKFU0C3lLSIq9taCWWiqK5yigQvJAzYC3AcqxbSoJgEgxaIC35pd8sRxMJfK+jnMSjItfQDXSrW386rQwjYrzOQLqdGRdY6BVULUy61cHCLQFB9D/AAyP1AS5YV0FWy4rriIi1WpERk10wIlQk0IFWupayrnuH/A+vu43VHz+J7dbxfc+A+PpmIqjQFBGEH4T4Tug3NLRqh0ITdo+JIsQd0v0YiSWJAIgW5tAW8gPk3LDqMAGVYAZQKJRaU6ORdoZ+QD2bAgJoBsa9IAQ2U3qSzzrTQdAjKarQBoq2tWj5hBEhoF5a6RQxCAZyBqeeG8bYG1wFyhaIl3T4MFAYCkkDboWXnaLJRTQobRqBcp/iqFF0uCZrQMI0qJMmEDoPOXtBFDlUXnMK5K5ZZogNAPAKPmXv3saaQyEHZaex+PX8X3IfGdoAABxRqFtC5C4fI1B3IgsFovVxCEv7o7IApzRu82NQkAI67Ih0uirXeHxWlkMEsbdQIbMFQV4pbKm7Gig6wjMxtiZNtep3WWHpotBYJFizV6fMYwWoKV0OWjLUQj7RiKxI2dHMzZFdwUua0KALbtxRvAd+qpEK+4lqHUJQrB201nP+OEtHrS1FhQc1YGVCK+oo9kWckVqtzDmlWcKhR6BHkhtXyr8w0r5oPqoF7nV8X3PhPiD1SkGbQojCPxHwnwlLiiGOdACLIgdcqlbNgLVK01zRmpDRrCgqWMYGO/IhitggAAI2mAnmg3IMOSzehzvERuUAeNh1smFXhUBV1SxAOAtTOqFsAAACgMAHcX37AdC51DN0Mtco5t+AHYDAjpTEx9vjBQoQK1KrORrG/rOsUqsRurumqldValCC5zR/kmfeBuKzEZdVaa4jStC9OWG+rAUGnpRgEo6yI3qqqrq/wCY9qeiaBXQoXH4HtZq+L7nYfGdhAUEzSFg2gunY7p9VTsFaNz1hrvz7popdmas61DSqZxiA5oFSlYzWjO4y50Qs5zFTM1s4Q2F4MCjhsFGIslXSPafFb0A5L6uI3rc0VQVm4hLOOsaQ5VjwPY+ZZ416BxBF1kUEAgs+CGbFoIV1VRANaZSTSUsEJMMAEhNeydNWCzZ1T71sDLVbFItVvSSxWVZii0qZTG1FgLN4yEtG6kGAtXWHOvdWpA3u9nWZ0b2lyDWgK5DH1MMIteCDcdIw47hkA0QzBTKJQImUtcSc2wAA37jh4eEHLRbSBqtB1qCnqQeYI3dYiyyTkoYlOKSjrymorKVUpBsNdS6Ib6hxsYOyMojSwkAsA9Ql5mVnYXt6EUpVc2I0r5tWraMRqpg0JRSmsWxUoJCwpvMCwXY+AhvDJ8sdCmct60VtmAU+D1liwQOE+EYAGgAArkzQczM5ETjc0RdoYoTWAPcMAKADAB/lHIhrayrwtMAZY1uLVzZDMdUy8nnAtJqvZ8Wrz1DD8+/E/C9wmz7RB6rRfl3Or4vufEfD9MchNbWwVdt9jEbt3TDlgFE2eeJkVeXaVLah1HYAcSMGKbziafFEAWgsFaKvtLisMOG6cA8zqOIrPeAbOxdq6dqZXdUiGrS7fughaQq345ymJaGdB91zol/BWD9DzboWcAG7qrh6P6LQOpFDjhOLMQbdXyLoiUc3DmeXNUo3bvHa3eNt3zasBiq/jHYe8w79+GHOQDsXLN1U6mNJTlkgS5HA04q0LRjDcDfUIiiCkWwQYtEH7C1ankMrqsVCkKLrQ2o0rSaIFJmJsKi1aSnOhjagT3aXFX2DlETs0dAaF6u9mWWxb4CC5gmc269mwMZWBa/KC0qLlKJVhTW9qvSCmOqNAGVVlHQSC8oFiKKw+GSMjqkMzqUrLA6swYoQtUjTozB5ZFsqxnAMYO6ZBGhCDuGACALEyI8ztSgRtYCHvwUMmIqaYYctW8AhfUHPsUBVoMqxOIlVFFtQAFdQ5sy70cNfQuzRri4SE8/Cvbc5oyCjDsyCi0iQilF5of8BIBQAwAfA6yIU2BeQFvK2J+eam9ZzUMB/wAez4U9M0oCAWxRK02K6rztIOTK+fVRyIudKqy5tZwYMdl/5z8DXKwQPoIB8vge17NXxfc7TuNYLNlMBhs5aX2AuNMp2JJLY0OuWONfVh5yLT4M09zt7WR6bNKU5LZ6sbnAK0ygByIks4FoAA6qxVYJLWeGAA1GMKinkaNc1/CI9WGuVx160Is1TwK54BYC3VqCB0mBbQlUENGtGZV5WBIqfEA6ipXlRJQgRLwtQrXFZk65CPU2B+kYAKRQyYpyRrOJQkP6Uy2jhV85qepqRn2rqrSEeoJedBGYa5RNCkIi8gERGk7LjDG+QBYJkr6V2HnJEYoMGgeLMZiFoOFOMxMBsYRcLDaaboahKjoEcTnrpccADDJrrMRFEU1g4rPDeB3dK1IpAnQrcUmRH8kK5vmPplfjpbfeE1wdEEluQweBsenIdajbPgj2pdR6jl3jBG24VI4Sy6g3gc7KBWQRXWtzWmLTFbcFumIDWSyuxkHBuYilIMAygCWhi4EIizhNJqgAXWDCA+BHvA/DIBbIAhBkkJCT8MoScSDw2bIoWW0xhISQOjTNgreqj6nzewNClAgoOLzam8qgysioviJOQzlI1SWEK0Al0wo/NSMVlkypWUMSDWwTFlkXKEswc9UznEFvYlHQP1iCGh9dNw2UYZ8BTUqWQaog0tI+wLkOUQBQJtIDm9OetVSgw56KAQv5Aq2qCyAZeVOVgOmuic0tHQRYgMoGaamU1bj7iOIATm6UI4kFQNYbR5gYULQ9kOJKOiAwBV0+642lXxAWII+HxHUkAbpIehqQDF11EXnd8/8AEUFqBYZ6rREjj3TsBZYYsKeOIMOjGBhUSxlq8YSDGIBaWrXNdey/8t7nV7RNG68H6dzr+L7nxnwNCbVZNO9VV3mIogqSgVZvmyX72RoeiGq0eMI29U2SVGxKalOC3SNhoA8kedkYaDusINMmNUjASm2ryxAFRrdGJpuiOVSpvyugAY1w5derFEwdOJnBa8DBmVJUljMKF83RPFxgOnCub1lmdSggdIAUFUKWFOfEXCAtVEFCsGVFNsWZAuiVqic2XFScwIpVZocmHXIU3pQc28y+u86IDQtSz2NHwsDLbvzhXqsoL1dJbQ0FGxV8pfeBMazIwyFygLvXHDcsr+tQf+6VLQWbiGQORAlhAkoNZcLbvYQU6qJgoAEBbjK/5O1GGpsViqhGQEgCgBgA5RsF0KAMsgZBObcCDcE2qq1rkjSJRMw2EZBhoxcwr23IrFdKpZv1iAQjtUa0s5tEf6pEtVjczFrHDyoypiUxqwADOGcRn01KB/CxuzJZzmeby5HMSVCmWqwCRTrfEvQHGgQfgm+hW9UE7yjS6U2iJVgkygjZRfEU9RUKsR5ZsYGcsgF2q1p5QdICq027FYjvJV6SrUKeaqZSWwzYjQsXRaU4mrUTLdhkBr4tQjaBd9yYkmCQzIy61RoDTiEZ9JZZQOaHovmCirDqQSLVa8qtA4hdAKIF55YogJJCwGBjxkhPHA7HKQLhyXv9ejZjcRduexEplKRwToSV4CMTiHtVtpilKGrBgkBQ++b0dVE8hNY/0iQWc2BACwHOpbbrCA+ohuAUG4mMXaDZfOlDKMyX+WFTBCi6ECWzAAQ4LbVoysrlz/hBtQ2ObQNSTyJ4nuw3I8zVvHVEvqpMK01wQIY+de9e6fh0G1CI2Xj5fE9uv4vuQ7T4mTLjOgktwr0HXuHpETtsNT4EKIdRdhim7oHJSq8qyJ4uyxaqrQrarfxXRehMfUrG6RZaoy9Z9F4AauMbyF+NTO04a84batYrDa48wWbQSsja6vytZRINiwQaa0KZldFgVaoBlGt3k5pe4/XeVpYc8r5RvVLawKxSo01yayhEiLOlDHdFWrq+6v8AyFiUiblyvCK54vMEzCKLQBJR2mpzxiarPxDq1zWtX4L7++7fjflhQ6H7Dk8ux+PX8X3O4Ow8yo2oiZYjqmfjGmmGGGfVkUCayTPNBJj5pAC1eQYJxb+5xb+5wb+5wb+5wb+5wb+5e2G0FSqpBUUPhcZoSxAQUDFfL7bbbbbLLLLLLDTTTTTTTTTLhNMPW1CuXGhWNR4K6phOZ+XiS6vKr/zIIIIIIIIIIIIIIIAAEAAAAAAAAAAAAAAAAAAAAAAAAAO5AAAAAAAAAtkCaizIMS2C2QdSe0y9pl7DL2GXsMvYZe0y9pl7TL2mXtMvaZe0y9pl7TL2mXtMvaZe0y9pl7TL22XssvZZeyy9ll7LL2WXssvZZeyy9nl7fL2+Xt8vb5e3y9vl7fL2eXs8vZ5ezy9nl7PL2uHtcPa4e1w9rh7HD2OHscPYoe1Q9qh7VD2rsGPYoezQRQTmpNi5Auvhfg1/F9zsO45ncu54ORfS/j4j1dx6f8PmPX/cf6/HOv8AvdROhv6GI9xr+L7nxHwa3GYajJqE6h8fEeruPT/h8x6/7j/X451/3uZHMg8DL43s1fF9ztPjQS1MYd8hYXo+PiPV3Hp/w+Y9f9x/r8c6/wC81yr5pXgODudXxfc+M7TRobOmlz5v6aTi78Ti78Ti78Ti78Tj78Tj78RegOYT9p7AT2InsRPYiexE9iJ7ETk/aWGcFficFficFficHficHficXficXficXficXficXficHficXficXficXficXficXficXficXficXficXficfficfficffiKFKnR/VOJfxOJfxOJfxOJfxONfxONfxOJfxONfxONfxONfxONfxONfxONfxONfxONfxONfxONfxONfxONfxONfxONfxONfxONfxONfxONfxONfxONfxOJfxONfxONfxON/wATjX8TjX8TjX8Tjf8AE41/E41/E41/E41/E41/E41/E41/E43/ABONfxONfxONfxONfxONfxOJfxOJfxONfxONfxONfxONfx/jPOHDhw4cOHDhw4cOHBg8ePHjx48ePHjx48ePHjx48eDPlBgwYMGTBgwYMGTJkyZMmTJkx+CZs2bGbBREhABQA4Pie31H7ndIJSl9oq+p9XKX8pEmiKgLVPOCd8p7owhrI5gEA5VVAYqvdci9d57p2GFHUMXwRPF8BpYRYz6LBYVrptwALgLrmxQewUxSGKRmWKZf+zqc4Ex9LcR6MArm2aRkBAahSQNDtDkKgi5MRROWGMCDXGVGSEpEQIaWqlGVK85cj2EmqZUUf68JnL9hjmcMVzQyqKhjXRO0SQMq51iKaF9k12a8QW2xjhdSEOammwx5gmZE3/6rlfN3cXIzcNxnw1d8m8wqPHYlGngRZbmRiyUyVlNSDe1KhXPyjArYs2fhoV/d7LpxMj16EkfIzzy4I2uk1YWklSyaCBjryTzizpT2iap0cFiiEdo/MqSsLCsEzt0zupiFWaaFqvrEp3UYBrXxZhfSBNpnKdSJjOSNlTY0bTCSaUljcuqp5pAcgCVuAtR+upptnI+C6ypVSUG5oG8JS1FatWw0WgRkwsUx6ULKQsqze0TRMGQa0jLJCcUAaijSySukeV71ENZW8KoAoretx0lgDAQNzSlabQCoR/B3owPJ0b0Usk9ddBBBOQ9NZYl39Vf72GFfIpMBMiAYDMEs1lLLU6imRq+JBQWN6QWKICuX+VXrPlB7w1pfCioAIKtunASYARoIoF2ieCiwrwxZNUFRr2hGJQdDRB4XbnF4Q6BebRcI5ctW2sSlJvBW1Cwe9ZrC/ao/L0M6HkX1mNVBO21VOVbn4b26HGhSKE9hTmJiGTd35dB2Zy0MvAGgbS1UIBvjVBUPwwVK9YnyglQconE0AbdCzDGeDwYUJW1x5POOYQpklQjmGjDsKpb8QCCi5UG4byCFIGgorg1X/De6axA0Uxq5tex+P1H7nYdp8IQ5+AX2rAF0HWKlcskUoINdIwthcYIJFUF0nWi6K1mGFqrk7TsOeaHoot0FpynNO6qqCFLBQ1tBs1gDWpCJhyt17ERnqWUkSlUuZaqK4Wl0SrFsAaTFzbQUaKHWrBrseschJwwNWgW9IACoQkUX6LlqdVGD/dtuaFAizWog1cKsHIGtHSOKZL1ZDNsm3WArON6xswZDGFVGpYJH0GoWcsR8igQIgQGCDpPId2pyV1eagAPmDqAoACgId+QVtzmJZOarFrkwy09GxMa6Tmp0Ma08y227igBxB32Vqm2yphKO6jyAtowXBYvBMiAAEtzAZok9QgUuStILJmAwiBaYB0tgE6AGRoV2kw5lFWXWsF1T4wkBiSs7StVdX4K+80DUiWWMJctBZCV7I0aRZyY9N0C0qA8CjnMHQ/MIKViS6P6k7jrVKXavOJQ0W4A1CunWSaMWStMFWAaqUKbEA0QPygaoclOs6SdG1OSvLNRO0raoKCXPZ1ax/FIwLYXFksxLET5WS1QwxmAjAABQBoB/lHwAjCgpEdRi2AFSbVS5VusaqbJslcVcRhRiWPYPk+WqjpccZyXihleABnFSwK0iqrReZSg1L61pFacXyWW89qUojp3sCwRpBjM6QE6CipdZqFeiQtBIAgGqWwESrWxVaVWPratYPACMKCkR1GJYQVJtVLlW6wXZmPkYUjkmkIHKDZlAlQriGw8YkRabQKDlFCK7F0i1AmTnR0/ziA65VrNbA7n1H7nck5s8jqXvoutZ/wBO5f8AqX31/wCG9vLHS3LTV8D2vZ6z9zulZZbAC2pwB6L3h83ff3/oX39/PvcNWdYS1Grh3PrP3Idp8VMwjOOhfUZGxr8B3x/jXL/yrl/7FcQDkU6tFk7n1n7ndJEVDACM8ix9rX4GjQumEqvthpsFi7oSoq0DjXUWkq5g+1bUV4ZEgEayzJHSpTjdM1F0ulOKrRbK3yMEsOY0jaORbgNqBEvULQSglQbF1uFWK/AQCtJPMVLqO3tAneReYUmSUHv6gIG21VAzSgPZl0lWH1oPFOg4rOxV53tGMAwA56iAEqhgihaadE9MctFi4cg49/tvxuI0W/UgkwuBP0Cgw4KuGkkQ8GZVyeDzjkZsQV40YDJsXFqInbVELZ86XFzmfVd1AuJGnBY2Lw7BW/W6qRbgBuQrN4g63yFdRCJHc1zgoaIKwS4zpxITeS7Q0Xi4XAxITeS7Q0XhD1GBPgQKy+GZaEChKECNDmhCtWNMZYSy9t4grRj460JcXOtUV3TuIclWLiXITuqEboZ0ehXW+O/kLly/mQzro0LYZCDhMsQVbA7Db9JwqsokJnNocQInA0Rap6FoxnTMMVViODBbQ9jyQsxUKT+oWMmUG5I0QS9/IYfqZew6BLaEj6SMLlGIhXePE+He2Q2FtpZGS7PBijWLBLhBS/c3qQwFbG5jJghTLhERpc5YJL+Rvub+Te+SoqnUh6uXXse17Wes/c7oogpIATngWPvadh2BavVNU5wmdgtiFgoYJWJ5kJJUEsG0raGVYrOEq9SA0VM0gxDXA0Mi7WC9RHD2qy0rTEVj9t5VmoN5A5BMM44sDi2gtdWVmLsMA1B4sGwYJGsdNZpVVoONUGMqyiK+opS6hVgauEP6lIsMiEZeu/QhXEFQS1eOWZ9AcnOpVquFGMGMOXcqJyLbDf6ARYpcfETJKiw6RdxoXrSXoRmr1FwpUENG5okfGFWUNHDToAUJGrUIAG8cDkg3BNNScHMOYNUYDKFd12pBLERocxZ5Ao5lAILDmAv8MUXGbbFiosCFhPuGd2IIKmQZgPumd2IIKmQZixX01nUAPBBdRrGevFmbcq2ayptAbcbHwzLJaDA8KXITFmwG9o9EWMNepckSASNA1kpDl+cuX8slYEJweQCiJSRxfAvhRMcZosFmkxQ0dMExK2PoIV3Jo2LS+UCYbMQsf2cEuTbx0kgl4t1NGiKtAoMBjmxZ0Am4iAMgIiSxIgWYhKIpTAs0SlTXKgUwzvXhlKFvewNRbgj1RLYS12q0ucm22KyY+OdIHHcq0F/IX/jPxBARRoQ9XLp3PqP3O07TtIwVAL1Kr65A3P8ANq38pcuXL+UD3Ll/772oUSOZDq55Pc+o/c7ohqQBQ2qmC9Lx8tVv5m/mLly5cuXLly5cuXLl/Mx77q+4v50AyBkHUNTDte17fVfud0ymFhlm3TMddXT4CnXegR4Eg0tt5BAUAcvr/g33d/4gDogwiaqsWGjA/wBU+O7qYscblp+V3/otv0ag1NDPz7n1n7nYdwwmKmWL1ol0XBOL2Tg9k4PZOD2Ti9k4vZOL2Tb9d5fieH1nh9Z4fWeH1nh9ZwXOC5YDU8H4nD7Jw+ycPsnD7Jx+ycfsnF7JT4+i/wCTiv8Ak4r/AJOK/wCTiv8Ak4r/AJOK/wCTA27/AM7iqqqqqnXc8vxOO/5OO/5OO/5OO/5OO/5OO/5OO/5PGJ0afTuCKq7mqcV3jxV0nDf8nDf8nDf8nDf8nDf8nDf8nDf87hmZmZqnFd58N9Jw3/Jw3/Jw3/Jw3/Jw3/Jw3/Jw3/JSH0j8dwzMzM1XrOWX4nDf8nDf8nDf8nDf8nDf8nDf8nDf8jVrl+OZmZmpcXVLhv8Ak4b/AJOG/wCThv8Ak47/AJOO/wCTjv8AkpDqNcn47giIiIt7mmX4nDf8nDf8nDf8nDf8nDf8nDf8nDf8lCnI1xqcHtnB7Zwe2cHtnB7Zwe2V+G1X7JwX/JwX/JwXOK5xXOK5wXKDVNa1+Jx+ycfsnD7Jw+ycPsnD7Jw+ybuKq7/E8E8E8M8M8M8HY5/ZXzw1wPc+u/c7TtO0hEKWttFX1Po5zSq6XBhJCV1A1YQloVBy0taFPPEKxuFLXoCwtvWjVhW5Jbm2heQ1qUFAV9rKyp6iLxbETxgQQLAmiZRy1EJ9phqkN20cjUL7y0ij98+upQqYDUBIAEGxHRH4fSMrdAVhUJOumTkNNZTEWmPGw5BlGGa+H0P5h65ck0BHFk88DNBlyUqwgDSFAo1r4HR8OxtRBDUeDbhFDm0ECEzwbZBpkNXTUGPh0PB+0JQLSKeQULoxmOQJLy8TWIOUo1scVFJlaKMiCB0fh430hnTqoBLUCgC3xozCgKDc1OhoEBQWAS/h+++7LkXgshhOhtDrKBAQpqAIaMhky+PDDVYIDCBYWkUwtlkJng2yDTIaumoMfD999mU0fkUHagVcYAt5TCr1ES9pFbRV7rFjg88pcgpbylMYUz8OnxssGOqM0XaAXi11o1Qi2xzChO1G1QWEsA3hYCRmFocBU6h8Oh4v3hHiJiFbNM7Wqy6stwkQtagIA2VHLIGgMhukw8hh1PhdXxlleTmnntMW7pNSF6xz4hCRoY1dUCw3jCrAWI9E+D1P4hHIkMgXQFXoBcrhsjFxtCykJ6lMbkIpokqtQP2Tvw+uhCCcLgU5QMHNM4MoRf18FUpGb5gBys1ixvCwEjMLQ4Cp1D4dLxZoHh2nnQtolnqBmM1JZNBcmwCZtqBlM2waFTspQp62fD65gyDVwFFVOZoDGFh9sQGWAMM9CIRojkn6FUgtZHOR0+D0aHaEVCUBeAVdgj0QYoAaKW3HFW1BknaLPWW12pBofDwm0yPAd8bKAAKqCYFnYgV6FYHOLoZg3hYCRmFocBU6h8P30QayAZt4DOotxdVmOpeclmshT0vGzWgymbYNCp2UoU9bPhqxK6GNXNp3Prv3O6VJomV6viaTKsWZigqTByZyOJiaLLqq0ritFxyLh0WCKYl+UZaJzSMcErWthBCrdJYis95jpYmZtgDycEKQvQ5OA7PtMezUYlBQ5C7LfpMIQowEs7rShsAQwxwCgDAAfD6RimPVxWWU1pvT1DCqkf3YjKRUaZ8rr4vQ/mKKjC5kZd6hbq1qLFm7TCGw2NgaAz8Lo+HZgxNLIobRdUXOphefy0CK2FFWeivh0PB+0pHoQEC6ASVjThHMASWQoeI51W0xeD8D8F1jQBUpWr8PG+kXrSNrgmklY5FF/wDR0pysL7dCLj4fvvuzUtUpQbtzZdAHNSLjsUMiOR8NIM38R7ePGlBpaBcCyl5/LQIrYUVZ6K+H777MrSM+qpFWI5IJTZLAgAgwipBiINVBAr6GDBDS/h0+NigV8IGKrFpqscVCJ81FDXBbIUQXRnNoJC0fhYweRnHwaHi/eNTqfZOK20AGSa0LjvLUSCW+RcUjayywq7jKgMCirfhdXxlmf35XNYBejRsECUY8VIaFzkeRksePICoGwHwep/EQUjBNvm042S2daWEpbX3ekBlLDyWklKcBhQJnl8L10tv0qGVUrOqYcU5gWuutIACaWnLk5TNoJC0fhYweRnHwaXiwTUu1kAIhGRGckOgfKEFYLAIoqqrKk7vQpogOWcZV+H1zMPtUOLVXpRjNtofy9O6CdlYalrZzMuBR2wrAFqrXN+D0aNJhlVdVt8ksi8vVXNyQ0WwJhQU6kaAiXGa7Kpn4OE2jqKKCgUhVQs5wxico1W1DIKGpFuzNoJC0fhYweRnHwffRUVdDLCB1zTlvSBQJVRTyHARa6opO70KaIDlnGVfhd878l9fa9r2+u/c7oImQirM9FhbtZTr8pTr8pTr8v7K9fl/ZXq8v7K9Xl/ZTq8v7CzriqqeKeKeKU6zxzxzxwEK6bTceX9m88v7N5w8ZvOHjN5w8ZueHjNzw8YA5uqpX2SvslPZKeyU9kr7IlK5tpueHjNzw8ZueHjNzw8ZueHjNzw8ZveHjDNzXKv7KeyU9kp7JT2SnslPZKe2ZQsnLr9ZueHjNzw8ZueHjNzw8ZueHjNzw8ZueHjAG9q81vfWV9sr7ZX2yvtlerym98pTr8pvOHjN5w8ZvOHjN5w8ZvOHjN5w8ZvOHjAN7V48FdZTr8pTr8pTr8pTr8pTr8pTr8pTr8oAFvA/s3nDxm84eM3nDxm84eM3nDxm84eM3nDxhG5rnX9lOvylOvylOvylOvylOvylOvylOvyijduHjNxw8ZuOHjNzw8ZueHjNzw8ZueHjBN70e6V9sr7ZX2yvtlfbK+2V9sAAqjen9m94eM3vDxm94eM3vDxm94eM3vDxm94eMLPu9SnslfZK+yV9kr7JX2Svsiyt8t8Lm94eM3vDxm94eM3PDxm54eM3PDxhOxtdV/ZWKRTrKdZTrPF6SvWACwN6TceX9m48v7Nx5f2bzy/s3nl/ZuPL+zceX9h1NS7qeOU69pUqVAgNHoHq1ODufVfudh3HkaQb3bIOqZ+Xvvr7q/kLly/mrly/9/oDo5waOXc+q/c+I+DJpt3TS9i+l/HkkmmHOayohRpnmJxz9Jxz9Jx/0Tj/onF/ROJ+icD9EQF++ruvBfMFBBRRZZZJJJppppxzzzzzzzp6pq3a+H+ZqiqqqqqqqKOOOOOOOOOOOOOOOOOOuu+++++++++++++7v77666444445UqqNP+ZJJJJJJJJLLLPHHHHHHHHHHHPPPPPPLLDDDDDDHHPPPNPktNJFBBBJJJNNNFFloqhV9BqASirE5dz6r9zuh6EuSxFG/j4j1dx6f8PmPX/cf6/HOv+9TlHLo8LL4nt9d+52HcOI02HiV8aCGGAAAAEFCvJU2fkzb+TNv5M2/kzb+TNn5M2fkxkryNi3dfMMcccccIIIIYYQYAAAAAAQQQPi6mXkN/wCYEEFFFFFFFFFFHHHGcGEWWWWWWWWWWWWWWWWWWWWWWWX3ZZZZZZZZZZZdROy+M/5jz33311111111111xxxx10000100wwwwww000000yyy3ySy22yyyy333zzTXVVRSV2yVubS6xjHY/H6z9z/Gv477m+9uX/kX3t/63rv3P8++5vv7l/P3L7++6v47+K/nnt9Y+5D4j5y/iv5K/kbly/k7ly5fyN91f+h6h9zsP9C+7v5e5cuXLly5cv5a5fdX3F95fc38r6h9ztPnb+K/ivuL7y/8APuX3d9/f+G9nqH3If5t9zfeXL7hQFr8pTr6E6jOPSstT5++9vub+dvvXt9Y+52D/AI9/Hfc331y+0HCyoGBq6or1YVTY+gCAABHVZUUcc4w5HdI1URCOrGM1EeMhGmhaowAq1HIRohrsNkjKNEINmmm9nTxoVbGSgBLDaknUOrBVh0prYmL/AFMIg7zRStooGKSqLafUZ0WbSmDIHGiWHUACsBFCOq0ehKpbIdGN5g3ZvVarUXd3ohkTpLMNRaAdiUkTojVY06QorlrjsQq/XumB4LwDzNNVJQCR2GVah1VKAYSs0hJh5ui6FlC65bfME0ZBSucMxcEF46WZpJol8wy+KlmgR9ob0TOFMZuzyAKrqYc5opmL5j4IPhFWUjgDZDgOq3RaHMaWoO5SDxRVETS0YWRDJRAYXZfNwGLsUbBRSWqrNsWS5cvvr7m/jv4r+G/mV+D1j7nafOX8N99fc3L782Yx6F0tKlHJwKwLl8GNMtA6SGkksYCBoamlI7CBYVgx8PoEuBaU6ZqTqFMHMOcWy1pMkYbGzQMUUxTK6kyIOideYiuEbTVxjAByPZ3qzwHM+ykggQZjN7ywBJtR9eVOeUUgR5JaI5GxzOTwDuhKHNeUu0ofTyhNTWYDGck9CkEgeFp3OLZLDTaXuNDJZQXnO3mia6VAMwAKh0WDXs7vsjuXAEQSIZGsDRDSGPQnz613QKhyA9+vur+O/wDFXtXs9c+yHaf5F9xfdXL7wRQzIX3Z57+CJdNqKy46csV1ZjR24YoUDbz4lq1gme1Cwl8jUZcM9qfZTSIfhqAr11RUxZ1wIETFoI1OErVZqaBqNVvLH5r9+TdFDYxLYGB9eZEQubS8xvIbdXw0XyJOoIpNc4UbdMiFS4JcjH+LTU4JqSbY5wmgKdHiJSayhb6QgudhbJCULTUS4qPEl4WaLcxJq3JWuwFH6ipabDZsoHE2AUqwKTY8UxKg4KS0iVxaMDRSiihfQM061ZqAti3Lo1biHD8GhpxkkDoHMD/a+OPUAWubGs3I+mW6zQ3SsaEzxOIEW4oYUskxVWgNRAOid5cvur76/hv4b+C/lHt9W+zsH5e/gv4b+G/jvuL7u5fc85fVK9axq6LBXMmoDQfOeizTZ4EtwXAqHXmWi6cp/j3AXaq2pco2uXtTAQrQVJTXTDEUzcoOBLL0aU7y4tjRR4WF18hfeX8pfzT2r8Hrn2do9zfzt/HfcXL7y5f+JcvvL7m/jv4b+efh9cgdo95fyt97fc339y5fzFy5ffXL7m/jv4r+G+8vur7V+FZ692A9o/IX3F/Bfyd91fydy5cuXLly5cuXLly5fyVy+5vuL+K/n17V7F7PVu0HtH5C/gvvr+K+5vurl/5ly+6vuL7y/l77V7V+H1L4Ae0e2/mr+K/ivubl93cv/DuXL7u+5v477q/gvv17V7b+FZ618IPaPaPbff33N/Ffx33N99cuX8xcuX3ty+5v47+K+9v4L7b+Be2+4Xs9b+IHtvtHtv4L7b+C+5vu7+O+6uX8lcuXLly5cuXLly5fyVy+6v47+K/hv5S+2/hXtXsWep/GD232j238F95fyF/Hcvu7l/5Fy+7vuL+K/hv4b+C/lF7V7F7PU4D3V9t9t95fc38N/HfcXL7y5cv565fe33F/HfdX3N9t/Bfcr2r2L2rz/YD8I/IX233N/Dfw33F9xcv5C5cuXLl91cuXLly/kL7m/jv4r7m+4v4L7b7b7V7V7F7Vnr/aD8I9o/FfbfwX3F/Dfw38V/HfdXL/AMy5fc3L+O/iv4b7m+4vtvtvtXtXsXtXs9f+AHtHsHtHtvtvtvuL7+/ivuL7u5f+HcuX3Vy+4v4r+G/hvuL7i+2+1e1exe1e31/4Q7TsO0/3c/N5me9z3Of8d7Xsb7X4PX4f/9oACAECAwE/EP8Alz/y9/5e/wDL3/l7/wAvf+Xv/L3/AJe//F5/+g1/6nfy9y/8W5f+Vf8A4p/9C/47/i1/6Q7H/l7/AOGqV8R/r1K/8c/8If8AmB/5u5fev/iH/Ef/AMadSek202U2U20202U2U2U202U2U2U202U2U2U2U202U2U2U2U2U202U2U2U2U2U2U2092Z7sz3ZnuzPdme7M92Z78z3ZnuzPdme7M92Z7sz3ZnuzPdme7M92Z7sz3ZnuzPdme7M92Z7sz3ZnuzPdme7M92YsGvmzZ+bNn5s2fmzZ+bNn5s2fmzZ+bNn5s2fmzZ+bNn5s2fmzZ+bNn5s2fmzZ+bNn5s2fmzZ+bNn5s2fmzZ+bNn5s2fmzZ+bNn5s2fmzZ+bNn5s2fmwU9QPz4AgAwBGzJN9N9N9N9N9N9N9N9N9N9N9N9N9N9N9N9N9N9N9N9N9N9N9N9N9N9N9N9N9N9CQcvk9Xwf9/Q8Pn/RH2+f9Mfb5/heHyer4P+/oeHz/AKI+3z/pj7fP8Lw+TsR1JsvWbL1my9ZsvWbL1my9ZsvWbL1my9ZsvWbL1my9ZsvWbL1my9ZsvWbL1my9ZsvWbL1my9ZsvWbL1my9ZsvWbL1my9ZsvWbL1my9ZsvWcb+k439Jxv6Tjf0nG/pON/Scb+k439Jxv6Tjf0nG/pON/Scb+k439Jxv6Tjf0nG/pON/Scb+k439Jxv6Tjf0nG/pON/Scb+k439Jxv6Tjf0nG/pON/Scb+kAB979Tjn9Tjn9Tjn9Tjn9Tjn9Tjn9Tjn9Tjn9Tjn9Tjn9Tjn9Tjn9Tjn9Tjn9Tjn9Tjn9Tjn9Tjn9Tjn9Tjn9Tjn9Tjn9Tjn9Tjn9Tjn9Tjn9Tjn9Tjn9Tjn9Tjn9TBXIDs0lJSUlJSUlJSUlJSUlJSVlZSUlJSUlJSUlZWUlIRo4JtM2mbTNhm0zaZtM2mbTNpmwzaZtM2mbTNhm0zaZtM2mbDNpm0zaZsM2mbTNpmwzYYKDn/zh/wDvCrsr/wDfLQnoTb9X7m36v3Nr1fubXq/c2vV+5t+r9za9X7m16v3Nr1fubXq/c2/V+5t+r9za9X7m16v3Nr1fubXq/c2/V+5ter9za9X7m16v3Nr1fubXq/c2vV+5t+r9za9X7m16v3Nr1fubXq/c2vV+5ter9za9X7nsUfYo+xR9qj7VH2qPtUfao+1R9qj7VH2qPtUfYo+xR9ij7FH2qPtUfao+1R9qj7VH2qPtUfao+1R9qj7VH2qPtUXA+jD2GHsMPYYeww9hh7DD2GHsMPYYeww9hh7DD2GHsMPYYeww9hh7DD2GHsMPYYeww9hh7DD2GHsMPYYeww9hh7DAUrmEpKSkpKSkpKSkpKSkpKSsrKSkpKSkpKSkpKSkrKykKquQ6fqbr6fqbr6fqbr6fqbr6fqbr6fqbr6fqbr6fqbr6fqbr6fqbr6fqbr6fqbr6fqbr6fqbr6fqbr6fqbr6fqbr6fqbr6fqbr6fqbr6fqbr6fqbr6fqbr6fqbr6fqbr6fqbr6fqbr6fqbr6fqbr6fqbr6fqCg0Pk0UHSbPqTZ9SbHqTY9SbPqTZ9SbHqTY9SbHqTZ9SbPqTY9SbHqTY9SbHqTZ9SbHqTY9SbHqTY9SbHqTZ9SbPqTY9SbHqTY9SbHqTY9SbHqTY9SbPqTb8G82fBvNnwbzZ8G82fBvNnwbzZ8G82fBvNnwbzZ8G82fBvNnwbzb8G82fBvNnwbzZ8G82fBvNnwbzZ8G82fBvNnwbzZ8G82fBvNnwbzZ8G82fBvNnwbzZ8G82fBvNnwbzZ8G8OCnmTZeZNl5k2XmTZeZNl5k2XmTZeZNl5k2XmTZeZNl5k2XmTZeZNl5k2XmTZeZNl5k2XmTZeZNl5k2XmTZeZNl5k2XmTZeZNl5k2XmTZeZNl5k2XmTEOoErKysrKysrKysrKysrKysrKysrKysrKysrKysrKysAi5A5Td9Gbvozd9Gbvozd9Gbvozd9Gbvozd9Gbvozd9Gbvozd9Gbvozd9Gbvozd9Gbvozd9Gbvozd9Gbvozd9Gbvozd9Gbvozd9Gbvozd9GbvoxHoP8A8sDr+HhDr+HhDq+HhDq+HhDquHhDruHhDrPP+Tcef8m+8/5N95/ybzz/AJN55/ybzz/k3nn/ACbzz/k3nn/JvPP+Teef8m88/wCTeef8m88/5DqPP+Q6jz/kOt8/5DrfP+Q97/Ie5/kPc/yA90D7oH3QPugIB0gekD0hthshBAQ7+AAJXxG6eOeOX6y3WX6y/WW6y8Xi3slvZL+yW9kv7I2Vea/w7h6Tjv8Ak47/AJOH2Tj9k4/Z/tJgBEBABEBEBGJmJiJh2CHaHfHYOwQ7Qh2CEIQ7BCHYO/1/FohCEVWukvzc4gGXWYG15Kl6Gl58nEOoVdV+fxALkujaMs60QhCaPj+H/D1fB+Bj2MfgfiYx7GPax7WP+Adgh2h3x2DsEO0IdghCEOwQh2Dv9fxaIQhEsKqgOwSw2CFCdYQA0IQhNHx/D/h6vg/Ax7GPwPxMY9jHtY9rH/AOwQ7Q74iCyXQ6Upjkda1mhgcCvq8FMxIlNPBc/YStb9ADwISMi8huXS9P2iyXWWfKI50tlnPp5QTA8jFbHOZCGKNRtqPrB9n2goj1Z6aekfqAS6IOwQh2Dv8AX8WiHETIQ0N5ceEWmt3+ZlrnliYPS5gGeBG208GAM1vzKYtDK+t6bV6VExNWKsXjry2hNHx/D/h6vg/AxohraXXINdU5+NNRCbq6adRvPg+soGm15tH0PWWQMl4658vOICoVwF8+eGkoK9t41vdDVzmvr7xYMeStXQr6oygBMnRWvic/PrEAljo1HqRBXOn1Y+0ED00nxafKn0ReiF1QOKUeBGK5aXRgjVoW3z/UdUsL0Sj7vtLg6r+/rJFB0OPI15qgPHMDqGHqz58oxKqBwt6uZ94oMOcAU1wnI7PL6RxYWhsK1B05PXftY/4B2CHaHfEcFUketKwvW23Xfxh9IGyk0Avqwec6xjSAKtqDFWrxhXk1LSla8ZZ1iXdy7qw7BCHYO/1/FolSh1gBAICql0KKqXlVpDoSi30l7aFwRSYmiFQmj4/h/wAPV8H4GKWNMWbLfWWCuUR1ivKB6LzZUUKvGCGyCNJzBuc4V0vHZku24qq5RQq3208o4s6abQGkTdZYKvDHFnTTaK1biVofVgFLOq2/OIrcvax/wDsEO0O+Owdgh2hDsEIQh2CEOwd/r+LRCVxpNBppzmAJ4fqVJ054+srt+YjVah+ZZbf8E6kyg1i0deH1mG04x+5chNHx/D/h6vg/Ax7GPwPxMY9jHtY9rH/A91if2YH9mB/dgf3YH9GHuMPcYe4w9xh7jD3GHuMPcYe4w9xh7jD3GHuMPcYe8wP7hB/cIP7BB1vMQdfzH6h1fR+odT0fqHU9H6h1X0/UOu+n6m8+n6h1nj6Q67DrsN7sgQEIGXlpaWlpaWlpaWlpaWlpaLfxC7LYJtE2ibJNgh0ybBx9YDyOPrNo4+s2D1/c2j1/cC5Hr+5snr+5XA1vHv8A4dhU8Xz/AJPH8/5PF8/5PH8/5PG8/wCTxPP+TxPP+TxvP+TxvP8Ak4D/ACcZ/k4z/Jxn+ThP8nGf5OM/ycJ/k4j/ACcR/k4D/Jueb+TiP8nEf5OA/wAm/wCb+Tf838m75v5N3zfyb/m/k3/MfqHTfm/k3Tym+eU3zym6eUeoeU3vJN7yTc8k3vJN7yR6sN2G/Ddhuw3obkNyG9DehuQevDfhuw34bsN+G/Dfhuw3Ia5wL9Tuwes09H9TePKbx5TePKbx5TePKbx5TePKbx5TePKbx5TePKbx5TePKbx5TePKbx5TePKbx5Q6h5RBXmHyN0rKysrKysrKysrKysBHXv350Tx/OeP5zx/OeN5zxvOeP5zx/OeP5zxvOeN5zx/OeP5zx/OeN5zxvOGC7B/0tfw+Bj8DGMssArqKq9LvSPU1eDC7vSq5y8w3dGGS0FuRQ6oNkUAyAvjpGLHcUjXiCp9YMFrLMlptb7Jicgo6jkelVzjGMew7TsJxbo7v0H4gFRg1yGumvhBnrBecY65gVKui8I4+jGgMFX9dIiwI0y+DXTIL4C2/SFAFOlo25spBjxC/C0v6RFThPhJ6Y+3zwmrv9bw7q/i9E/b/AEtfw+Bj8DGMbAVDlzDZo2aQjAqXop3enO7rTpUzLgtbP6WPxOFMl1OVUsLUveoszZDKypb10xDVQ5VX+zwinbOgbbUwNL53yhmdDZgKoB976WVKyao1dw02sq+jOfYxj2HadhOLdHd+g/EAsQVeUNM9fGA1WFlpLbLDR9IJFl6FS7Oup0m4gzqtL+gwefOWyt0G+rlSERNw1t1fLPiMOcVEeFRqAZtKcs6Ql5QCqq5nW9cZuEpFlq89/hJ6Y+3yy5cuU+Emrv8AU8O2zeMeUdOgWx4NJd0Ex51AJBb5vGZsHuhqjk9XhERowNDnvFopl1HP1xk+srJefyJQtWr7PCCoyYNsjX68u30T9v8AS1/D4GPwMY40gC1YDjoZjUILUHGFppY+J0gE0QPmr7psBP8Ael8usYBhW7k/XjNZQZro6YiUVkXl9cdcCNhYzVnVjr0KFfLHOOyEaLe51Xy8tZR4Yc+qAWcQ5iMY9h2nYTi3R3foPwjXUsq+roUL6TIKwPEKAnnGLpavpNcClfXHo4YsBhd/SHUbG7MuU6VqdZ9ZVv7cvGCF5ALL6Y+tTS2quoh42ArLoOzrBdA8F/kPgJ6Y+3yyppKlY+Emrv8AW8O2oh5QwaJgmsZmSnnHtFXHEsuVUwLEHUuAaBKKrt9E/b/S1/D4GPwMZYSlUpdNtTWm3TaJuFoHUgBFu6n0jtluihkxXVmv0gC0Ba1qvLyxlXVgWgtA52kfLHRwh1BVOghnD5G/CB+c1dOQpzGHTIgICWKJRgBbp0pi1dc4yZ7o0spP3EaNqzDQlK5vM65NYCrw156ujGPYdp2E4t0d36D8IEtUo0ojXS28dIMFdgKDbRcNga1f3giprUAHSmAMuu0twsPM3b7vOGKlZzzI0cdOiUhOoXY2Yz1XozlnjWmrAREQIcmi8KydazLrjZCuVD96qWzQ1hQWDRs6QmwPoHlXwCemPt88Jq7/AFvD4Wpal+ceTqP4R1pi18q/MaIZ2TP1cXDBJ6Or1v1uKCGNM5xtXOGeUt9/heift/pa/h8DH4GMfgYx+FjHsO07CcW6O79B+TCemPt88Jq7/W8PkPRP2/0kuewE9iJ7ET2ontRPZiezE9mJ7cT24ntxPYiexE9jJ7WT2tPaU9lT2VPZU9tT21PbU9hT2FPYU9lT21PbU9tT21DAKDu6kBvPZJ7JPZJ7JPZJ7JPZJ7JPZJ7JPZJ7JPZJ7JPZJ7JPZJ7JPZIAFGnyIy0tLS0tLS0tLS0tLS3yCtqpuPObjzm485uPObjzm485uPObjzm485uPObjzm485uPObjzm484uUqvk3T8J7kz3ZnvzH+8z35j/eR/rJ7snuSe5J7wnvCe8J7w/c9wfue4P3H+o/c90fue+P3PfH7nvj9x40+84U/M4E/MeBPvOBPzOJPzOLPzHiz7x4s+84c/M4c/M4c/M4c/M48/MePPvOPPzOPPzODPzHgz7zg78zg78zi78zib8zib8zjb8x4W+84W/M4W/M4S/MeMvvOMvzEpxcKGrlfdHGX3hwt94cbfeHF33hwZ94cefeHDn3hw594cWfeHAn3nAn5lBMtqr0+Usup1fuf1D9z+iT+uZ/VM6l5s6h5s6p5zq2dQxOsXYolEolEolEolEolEolEolEolEBATV/pavg9rHsY/A/Ex7WPax7WPYx7X4H4HtYx7Hs9a/d3RCEI8tssOQK38Bhd6oEYNLmFPKgCqbYvVyOE6ZGprO08j03rnvCHZr+L8fKanj3wDFy5ZLO8ITV/pavg9rHsY/A/ExhitLekKjGrj18COjavNVwocAHLoc4IAiWpHGMsETBFqx56/SKh0erUDWxdQOTja4IclC22H0/GsEJDRar/m7RL6NVVvBtCmxU6LjP7LI5VpdUNtxk2nQG3xfmrqCGw6hpdK8eV1cOUgNXhnp1v6Y5z6mOonUekfgfge1jHsez1r93dEIQjwWC0OYKzABVlTmrk51mgG+Ze1fw5aS1ywh2a/i/Hymp49+Aw9rfdkJq/wBLV8HtY9jH4H4mMyYpauquigyMMuay4rTJo+rKQz2Glos8bOCPpA05FC3DRxUukugFHoozfMNOfQ5gpYLzsW9Dkv3wCGZzMA3eQz0JmtEig5m0NPHMdpTaC83k4+ptl1SxYb5cyh8sZlY2YeNAL8cX4yoUWCCl5cA08W4OIi1JR4v3tYcGQwsPmKDrS36yu0gwOgDQU3WLSucSXagyyU1QcK6Zll7MzrlX0ziPwPwPaxj2PZ61+7ukIatV9N4kJNRvwCsXtpz6wek4Xdl+9tE6kTxAW/gb7INhijcDI3NW3hBotRh+A6aO8GWFCGpzDBsMa9YM00VrVop6l9MwolUM5EeY16eUoputXcuHcfMyQIjbTBqh0rrNfxfj5TU8e4AXRYMwRS5cuXLly5cuX8ZCav8AS1fB7WPYx+B+Jj2se1j2sexj2vwPwPaxj2PZ61+7uiL0lniRHMlF/Wi1bbwKIaKXVVyggElUkOtvVV/Eb7qzF6gH6YhgOVjnzL4w61KLs4HK9+fhF05wVk2Zp8HTmRJX2HM5N2MIqrWfVk3LhCmwWvkKOdTX8X4+U1PHuACSNi7SpUqVK7KldlfGQmr/AEtXwZtTaj0o9KbUelHpTam1NqbDNhmwzYZsM2GPQY9BmwzYY9Bj0GbDNhj0mPTZts22PTY9Nm2x6bHps22bbHps23ym2+U23yj03ymy+U2Xymy+Uei+U2Xymy+Uei+Uei+Uei+U2Xyj0Xymy+UG6Or93dHRfKHRfKHRfKHRfKHTfKHTfKHTYdNh02HSZtMErOb8fKWGHWdAzomdFF6ROkSJAwMHyYQZq/8AA6mDxZ70T3InuRPdie/E9uT2ZPYk9gT2hPaH7nsD9z2R+57I/c9sfue2P3OFPzOBPzOBPzOLPzOLPzOHPzOHPzOLPzOLPzOLPzOLPzOBPzOBPzOBPzOFPzPbH7ntj9z2x+57I/c9kfuewP3PaH7ntD9z2hPaE9iT2JPZk9mT2ZPZk9mT2ZPZk9mT2ZPZk9mT2ZPZk9mT2ZPZk9mT2ZPZk9mT2ZPZk9mT2ZPZk9mT2ZPZk9mT2ZPZk9mT2ZPZk9mQb+RqUymUymUymUymUymU9tpbpL9JtTaZsM2GbbNtm2+U2Xymy+U3nlN55TeeU3HlNx5TceU3nlNx5TceU3HlNx5TeeU3HlNx5TceU3HlN55TeeU3HlN55RK/wfufxGMYxjGMYxjGMYxjGMY9pDsIQ7CEOwh2kO0/w/TH2+cE1vZohCEIQhCEIQhD5L1j/g/c/iMYxjGMYxjGMYxjGMYx7SHYQh2EIdhDtIdp/h+mPt8kWXB7FM0S5znOZq+xrezRCEIQhCEIQhCHyXrH/B+5/EYxjGMYxjGMYxjGMYxj2kOwhCUAgvqAp5p1IpCGHIUvTWABVGwiGVaeEIDCpuhfZrsXWoaF3XhnrWaqWIFhTJSWYu9IASrFiSxtqzy68pe9C3wNZQC8niXkRFYQ1sNeNffSGh8C40CaBN7484Vq0pcgya6u8rs8EHcYuvr0ZzAH+B6Y+3yRJUqVKlSu2oTW9miEIQhCEIdhYLZs2uIxN9T9RaOtvkfmO6OWXw4t+kqSdIq309RGpNCr+v6iAWnLGPq+0KFsuhxyjUyVUUV3+/d+of8AB+5/EYxjGMYxjGMYxjGMYxj2kOwhCBA0bYR5LowkHQgujS4v6bQPXIbMAgs3PrmMpdnR0wW7rl3YB6c+6/xHJAKmEAwMa04ts8U0wBZMoCaVrpAbAaszRDTCnTm8ajkM558x1HxNYvZdRzso+IUQHapAW582wqvO6hXooDmyKVp156VviWnnvHwPNNYhrluky5dIki7RbDVzo5FbMCCqazNC65G7wREVur/gemPt8qvEuOJpLxDsJrezRCEIQhCEIQM7/qpo2qHKYE6t/WFqpa9ZQKEFV9IaU516SwbLuPSsmdM+kTgRiuX5GOdijVOmfSGAaHd+of8AB+5/EYxjGMYxjGMYxjGMYxj2kOwhDsIQ7CHaQ7T/AA/TH2+UUdlQJUrtJrezRCEIQhCEIQhCHyXqH/Bt2avT6R/jR/mR/gR/gR/kR/kR/iR/mR/mMf4TH+Ux/lMf4zH+cx/nMf4TH+Gx/to/1Uf6qP8AdR/qp7inuqH91D+6nuqe6of20P7aexs9iYfzmH85nszD+Mw/hM9qZ7Ew/hMP4E9sntkP4k9knsk9knsk9knsk9knsk9knsk9knsk9knsk9knsk9knsk9knsk9knsk9knsk9knsk9knsk9knsk9knsk9knskKA9D5FhKysrKysrKysrKwMVvYQOpDrw683odaHU+8Ov8AeHV+8Ov6MOp6MPaP6h7J/UPbP6h7J/U4g/qcQf1OIP6nEH9TgD+pwB/U4g/qcQf1OIP6nAH9TgD+pxB/U4g/qcQf1OAP6nAH9TiD+oC00V/8jvQ3obsN+G95JueSbnkm++U3Xym4+U3nym8+U3nym8+U3nym8+U3nym8+U3nym8+U3nym8+U3nym8+U3nym8+U3nym8+U3nym8+U3HyhATn/AMQIQhCEIQhD5Qnpj7f8QIQhCEIQhD5Qnpj7f8QIQhCEIRgW1laTX6L6nSWES6JYpGBMczp4RIwNVAPMV/IBEuTkMYEYtK08riXWFzY0LNdTrz8SGlYGpoeUL6mhydIIlZv7iJaL9HBZufyY/wBmRnCtB46/UOUMjoGxF3g3lpZoMWwCy+DAs2q8ZdY1AJOS3vVDBKHK0xeN6PLGkChXVluL5GnOAgg0IkCaakzTye4J6Y+3z4peX6zcm9N4m4TdJvk3Sb5N8m4TeJuEthHNf+iIQhCEIRVvVxJR3qzrLmy22/TB6SuFdV9OkaJKlfTSvCKsc9fDSHUM5+cBdOuu81NWj5aeUQsc/vWWw66XAyAJjq2q8l3XheYaw1VfTX7wJWw9wT0x9vn9EIQhCEIQhCEITR8fw/IP/kiEIQhCEIQ+UJ6Y+3z+iEIQhCEIQhCEJo+P4fkH/wAlsuHjDo+HjDo+HjDp+HjDp+HjDp+HjDp+HjDouHjDouHjDouHjNp5f2bDy/s2Hl/ZsPL+zYeX9mw8v7Nh5f2bDy/s2Hl/ZsPL+zYeX9mw8v7Nh5f2bDy/s2Hl/ZsPL+zYeX9mw8v7Nh5f2bDy/sOg8v7KzoPn9EIQZeca6cvvLrdSIW7/AJggAc/xAUKvDjygWTq+2I5sc8GDQoM6cnxxK5Kqn6fSEJo+P4fkH/yRDJZLJZLJRGIhEIm2Jzl+D5KlpsmvRrpDoPP+Qbk8/wCQbl8/5BP7/kE/v+QT/UG/1Bv9QTAnlBPKF+ULwz34ABR8OiEJR1gSrqQCIdSAaEBKupCiqKhCgohCaPj+H5B/8kQhCEIQhCaXg/JcC6od8gAPk2iEIQhCEIQhCEJo+P4fkH/yVK2zpfQwAn7g3Xo+0QlyniKT9QL8Ll5bawNQKPrq8Egxp9DTnk8OfiS5MF2h5E5nSFrc7gbzNuQSn0j934hLRjnaKPTrjRfSNm6qKaGLt30NpUA2Nh2eKfkuBdUPiRazyYULOtrtUULbET1fhgDXOYu0vEtl5ly24MHvQpbpL9JbpLdJfpNibE2psE2CbSbCbSbaXAVm/kH/AMkCpNQOSucgquLmxV1t1BRg5XFtXNU5gHFaJNcjGYYDYVmrqpo1VY8qjdqgvI1YMObOHlM4tkHTZ67dJmItdt0XdYHMNbxjeUkwmkvzlPLOI5BeLJ6tPMumDXOVI1ry0cX5RCaoEB0D5LgXVD4kKAcm/SomL3ve4EUNYGmjXygXNZ7FdisSuwkrMrH+aP8A5I+deTli3kLQvIh0hsKscg9ejpECAb07eVFV9YWtQ/Sr0ErrezK2ENJEbZal1RT6yq0Cq4aluY05tIHu6AtotaKu1dXSUsILwHJPJxrkzrCltAwrRxm1pPKP6OuRuz7nOgqaXg/JcC6oqFRZvpvOSBo+gfBmj6ymth9qSPCGGW8H6tDw05xK7ChW+peOXnctFuro8Xn9OcIGTxdagEsxS+krWqyHnBXI87/MCj9wIexcuDBixagy5cVjCy/8Y/8AkjmsddESkdkxEwhLTBRZbTpvEFYAxfMWq5OIMl3eryteJepFLG6sUJSJjeC0A0G6KpSk0GOuQLy0c9bH685iGilAGjmVzu83rKADd6sppqrjyi1oGoBtvXnRfOgml4PyXAuqMNcxPOXQt2GXQRPtLBwWKcrTzr61cqaFCuqtOtac6uGAQU0XU43uWlXwy675hf0r9RVZExWKmfImOuwXYCVKlRJUqJKlSpUr/GP/AJIhCEIQhCE0vB+S4F1Q75AAf6R/8lv+Debvg3m54N5veDebrg3m6837m8837m8837m4839zfebK7U+L8k1Zaty85uvNh1nmwHm82HuGHT9WHQ9WHT9WHQ9YdGHShEkCEvLy8vLy8vLy8vLy8vLxV/xH/wA5Yimn5m68j9TdeR+puvI/U3XkfqbryP1N15H6m68j9TdeR+puvI/U3XkfqbryP1N15H6m68j9TdeR+puvI/U3XkfqbryP1N15H6m68j9Q67yP1GUdUP8AjWn4Pz8oT0x9v+Nafg/PYoS6PuT8RTvg5c6xb4ChNf8Ab5ilemIxMAXPVCvWCt1yWp0GtPGZFBorz4j1ICR1HmLiUFhcKpv9b+cAqtQUnjbn6QJCjrFYL0F5PnXOo6LUicT8HRHc5zr115V1ggf2ctG9C/SYCF8l8rmRYx6rTEz+dXAPsKhPTH2/41p+D89gyhyAmq1r16QYFJ9R4qtVZWm6JnrQNy/uSy2o3AFsReTWusTbLV6GStllpR9YuSIWIAM+pzT16CGxkdWlFZdNb6wy1thYprdat+nKUJsOgleYfowb9IFv0WDCnixfPGIeFeWm+p9L12mKIQHd1W8z1CUFTC9+AebPtDOlWVvJTpVesOFtFA4TTRpMlTnkM52d7X0gBlqqh13/AIgg0vQECemPt/xrT8H5+UJ6Y+3/ABrT8H5+UJ6Y+3/Gh6Am+Z7MnsyezJ7MnsyezJ7MnsyezJ7MnsyezJ7MnsyezJ7MnsyezJ7MntyIItr1nWPOdU851L5zq3znXM6hnVROsTF2AlSpUqVKlSpUqVKlSpUAmv8A4lqePed3PkCa3/iWp4/F3K2Jc1NJymv2gZcuXBlsuXFlsH4ia3/iWp4/F01npCNH5/E0bi9oqVKlQJUqVKlQ+Imt/wCJanj3ndz5Amt/4lZdboz+aZ1HyZ1byZ1DyZ1TynQvlOiZ0UTpA9gSWSyWSyWSyWSyWSyWSyWSyWQSav8Aii1mbTzm0mym4TdJuSkuUy0tLS0tLS0tLS0tLS0tLS0tL9JsTYm1NubLNlm2zYZuJvJvJupupvpvPKbjygNhD/ger4PzXAIQhCEIQh2EIQ7CE0fH8P8AwPV8H5rgEIQhCEIQ7CEIdhCaPj+H/ger4PdcB7XE17SGkIQ0g5jLg6R1hejFrHhFp4wWWsyrV+tTWj18Y63Ix/YdhCEOwhNHx/D/AMD1fB7vgVKlROxOyiVKlHwVAlXAaQEq5lVlkLLgKrlDsIQh2EJo+P4f+B6vg/NcAhCEIQhCHYQhDsITR8fw/wDA7EHSD6ecB084Pp2AMFEgqAlZWVlZWVlZWVlZWVlZWVlYDsiBIidmkyB2R48N2G/DcnjeUNzynjeUFal/v/43P/2/7p5zdPObp5zdPObp5zdPObp5zdPObp5zdPObp5zdPObp5zdPObp5zdPObp5zdPObp5zdPObp5zdPObp5zdPObp5zdPObp5zdPObp5zdPObp5z25Pfie/E9+J78T34ntye/E9+J78T34nvxPfie/E9+J78T34nvxPfie/E9+J78T34nvxPfie/E9+J78T34nvxPfibbzJtvMm28ybbzJtvMm28ybbzJtvMm28ybbzJtvMm28ybbzJtvMm28ybbzJtvMm28ybbzJtvMm28ybbzJtvMm28ybbzJtvMm28ybbzJtvMm28ybbzJrpKlSpUqVKlSpUqVKlSpUqVKlSpUrsqVKlSpU2GbbNtm2zbZts22bbNtm2zbZts22bbNtm2zbZts22bbNtm2zbZts22bbNtm2zbZts22Imvyer4P8Av6Hh8/6I+3z/AKY+3z/C8PkwSmbPqzY9WbPqzZ9WbHqzY9WbHqzZ9WbPqzY9WbHqzY9WbPqzZ9WbHqzY9WbHqzY9WbHqzZ9WbHqzY9WbHqzY9WbHqzY9WbHqzZ9WbPqzY9WbHqzd8G83fBvN3wbzd8G83fBvN3wbzd8G83fBvN/wbzf8G83fBvN3wbzd8G83fBvN3wbzd8G83fBvN3wbzd8G83fBvN3wbzd8G83fBvN3wbzd8G83vBvN3wbzd8G83fBvN3wbzd8G8DKt5s3XmzdebN15s3XmzdebN15s3XmzdebN15s3XmzdebN15s3XmzdebN15s3XmzdebN15s3XmzdebN15s3XmzdebN95s3XmzdebN15s3XmzdebN15sdANCXl5eXl5eXl5eXl5eXl5eXl5eXl5eXl5eXl5eXl5eAAODabvoTd9CbvoTd9CbvoTd9CbvoTd9CbvoTd9CbvoTd9CbvoTd9CbvoTd9CbvoTd9CbvoTd9CbvoTd9CbvoTd9CbvoTd9CbvoTd9CbvoTd9CI2o/8A7mKhZsvWbL1my9ZsvWbL1my9YyYSuv7nG/tON/acb+0439pxv7Tjf2nG/tC28Xj+5xz+5xz+5xz+5xz+5xz+5xz+5xz+5xz+5xz+5xz+5xz+5xz+5xz+5xz+5xz+5xz+5xz+5xz+5xz+5xz+5xz+5xz+5xz+4cIDel8iVlJSUlJSUlJSUlJSUlJSUlZSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSFGrN5m8zeZvM3mbjN5m8zeZvM3mbzN5m8zeZvM3mbzN5m8zeZuM3GbzN5m8zeZvM3mbzN5m8zeZvM3mbzN5m8zeZuM3mbzN5m8zeZuM3mbzN5m8zeZuM3mbzN5m4zeZvM3mbjNxlr0L8nr+Hx+oPv3Gn6PmPSfY/6+g/3vVP3+T1/D4/UH37jT9HzHpPsf8AX0H+965+/wAnr+Hx+oPv3Gn6PmPSfY/6+g/3vXP3+U2TymyeU2TymyeU2TymyeUQUh+hPbk9uJ7cT24ntxPbk9uIFp5RNt5E23kTbeRNt5E23kTbeRNt5E23kTbeRNt5E23kTbeRNt5E23kTbeRNt5E23kTbeRNt5E23kTbeRNt5E23kRKwD4S5cuXLl9ty5cuXLly5cuXLly5cuXLly5cuXL7LlsuXLly5cuW9ty5cuXLly5c32b7N9m+zfZvs32b7N9m+zfZvs32b7N9m+zfZvs32b7N9m+zfZvs32b7N9m+zfZvs32b7N9m+zfZvs32b7N9m+zfZvs32b7N9m+zfZvs32b7N9m+zfZvs32b7N9m+zfZvs32b7F/8AxpP/AND1d9Uru6lSpUru6lfBUrualSpUqVK7qpUqVKlSu5qVKlSpUqV3NSpUqV3tSpUru6+Cv/kfcvvLl/DfdXLly5cuX3ly5cvurly5cuXL7y5cuXL7y5cuX3N/Dcv/AK2oFs4Q/qcIf1OEP6nCH9ThD+pwh/UxPnh+ncVVVVVVVc+Ki4P6Jwf0Tg/onB/ROD+icH9E4P6Jwf0Tg/onB/ROD+icX9E4P6Jwf0Tg/onB/ROD+icH9E4P6Jwf0Tg/onB/R2EC7i2/Il5eXl5eXl5aWl5eXl5eXl5eXl5eXl5eXl5aWlpeXl5eXl5eXl5eXl5eXl5eXl5eXl5aWl5eXh7o/c4ifucRP3OIn7nET9ziJ+5xE/c4ifucRP3OIn7nET9zgJ+5xE/c4SfucBP3OAn7nET9ziJ+5xE/c4ifucRP3OIn7nAT9ziJ+5wE/c4CfucRP3OIn7nET9ziJ+5xE/c4ifucBP3OAn7nET9ziJ+5wE/c4CfucJP3OAn7nET9ziJ+5xE/c4CfucBP3OAn7nET9zgJ+5wE/c4CfucRP3OAn7nAT9zgJ+5wE/c4CfucBP3OAn7nAT9zgJ+5wE/c4CfuIkdT5PV8H4/UH37jT9HzHpPsf9fQf73rn7/J3I6zbTZTbTbTZTZRUSXXJnszPZmezM9uZ7Mz2ZnszBW0vZmz8mbPyZs/Jmz8mbPyZs/Jmz8mbPyZs/Jmz8mbPyZs/Jmz8mbPyZs/Jmz8mbPyZs/Jmz8mbPyZs/Jmz8mbPyYEYQv1P9dgBwAAAAAAM1TfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfTfS96n/nD/APQa/wDe9SQmgI/8tYfOmdDbFJpUp1OwJUqVKgRJUCV2BKlSokrsrsSV/wCKf/FjlzS7dMj8ynMjTw1JUOwj2GGkJrOXYrtVDTsdIadhp2akf+KqnpDDqvvEet/Gpx1l75TtNIPZyh2MJXwBlRZylQ0ldh/4qJUc2Kic/lDFGn/oX/6DX/4vP/L3/l7/AMvf+Xv/AC9/5e/8vf8Al7P/2gAIAQMDAT8Q/wD5MIdo9o+EfCrsC/jAHxAO4ACJ8NdwBOyuxTsV8YT5AIlfAET4AuOOxO1+EETsD4QSv98ItS+whL7T2h2PwOnaWXLly+zVGXLly+y5cGLLly+wnw8u1ly5cvt0l9lzXtCL2XBuJ35B8BH4Aj2OnYdidwFlsuXF/wDCA9g/CLnvgHfheYnwcu1+I+EMex+Ai/DXZXwV8J21HSGnwPa6dhGGYnxjV/4MZr2K+Hl2kWGTtPiKldp34MGJ28u1+PXsV8Ixiu4dOw0idrp8R7DuQOnYdgZr8DV2mV/4M7TEfgHsdO09j8BZcuXF7CLKSkpFvug9gxOzl8FJSUi9t9pZE+IsifE6dnKGe10+Ej2EYR7BF7Xt0dgxPiFy5fYX/fD4Rj2Hwg7RfMgHsuDcZy7XT4glfAoMwInwL4jp2OnZr2OnxGnY6dp2PwPYR7VE+EOv/hCfAR7TJA+A0h3Zq78HXtJrOXa/GT4TCJ8A+I6djp2DEjp8asxfArPwnTsI/AMr4B/8HcG+0qL8J+E/CT4gInfAHX4Bj3APYMrtF7RldpdfE6djp2jH4jse0fidOwj8IzV2q+AJ/wCBuXL+QuX3Fy5fzVy5fxXL72/jv4b+QuXL7b//AAhst0lukt0lukt0lukt0lukt0lukt0lukt0lukt0lukt0lukt0lukt0lukt0lukt0lukt0lukt0lukt0m5NyU6ynWU6ynWU6zclOs3JuTcm5Nybk3JuTcm5Nybk3JuTclOsp1lOsp1lOsp1lOsSXab6b6b6b6b6b6b6b6b6b6b6b6b6b6b6b6b6b6b6b6b6b6b6b6b6b6b6b6b6b6HUzczczczczczczezezezezczczczczczczczczczezezezezczczczczczezeyteZPJ+ELl/ALly/gFy+0uX2ly+xcuX8q0f7+l8+afP8Q6vz5p8no/39L580+f4h1fnz5NMS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS0tLS02GbDNhmwzYZsM2GbDNhmwzYZsM2GbDNhmwzYZsM2GbDNhmwzYZsM2GbDNhmwzYZsM2GBKt6Tfek33pN96Tfen7m+9JvvSb70m+9JvvSb70m+9JvvSb70m+9JvvSb70m+9JvvSb70m+9JvvSb70m+9JvvSb70m+9P3N96fub70m+9JvvSHsH7nAH7nAH7nAH7nAH7nAH7nAH7nAH7nAH7nAH7nAH7nAH7nAH7nAH7nAH7nAH7nAH7nAH7nAH7nAH7nAH7nAH7nAH7nAH7nAH7nAH7nAH7nAH7nAH7nAH7nAH7hi6JfN7FSviBUr4BUr4BUrtKldpUrsVD/olf4FSpXx18zXx18pUrtru6lSpXyFSu2v8xZzl5hpOXzek5xZeOwlw0jpEj8ryhDSXLzDWco6RnKEvMJynKPY99yhDSXLzDWGk5R0nKEWEdJzizlLi97yl5hOUXsXB7X/JZz7T82znFnKXBzDWGkdIOPliENJeZzhrOUdO0nOGs5doj3x2GkuOs5w0nL4Ts5xZyjHTvRnPsYsIsNOw/wAqyXmDmEfm7l5jF7BlkvEvEH5a5cGYlkGDFl5l9lkGDB7L7+5cGYlkGDFly+yyDLl5mJcYvejFixZZBjUHsv8A5nX/AKXnFhp2DsNJc59l4g5iwYv+e6diwcR0jGcpcNey4axYMv8A9EMDMWHYaSyDHsZeIaxf9EaR1jDSOkNOwYnYy4axYf8Ao7JeY1Ll5g47CMWLMTExB/0Bl5mJyl4g47VixSyExB//AElOn+AAAAAAAAAAAbrN1m6zfZvs32b7N9m+zfZvs32b7N1m6zdZus32b7N9m+zfZvs32b7N9m+zfZvs32b7FA36P1N30fqbvo/U3fR+pu+j9Td9H6m76P1N30fqbvo/U3fR+pu+j9Td9H6m76P1N30fqbvo/U3fR+pu+j9Td9H6m76P1N30fqbvo/U3fR+pu+j9Td9H6m76P1N30fqbvo/U3fR+pu+j9Td9H6m76P1DreYje8xG95iN7zEb3mI3vMRveYje8xG95iN7zEb3mI3vMRveYje8xG95iN7zEb3mI3vMRveYje8xG95iN7zEb3mI3vMRveYje8xG95iN7zEb3mI3vMRveYgxdEnk/EC5fwhcv4QuX8AuX2ly5fYPk3T/AAAICgKgqoKqjem9N6b03pvTem9N6b03pvTem5N6b03pvTem9N6b03pvTem9N6b03pvTehAz6M3/AEZv+jN/0Zv+jN/0Zv8Aozf9Gb/ozf8ARm/6M3/Rm/6M3/Rm/wCjN/0Zv+jN/wBGb/ozf9Gb/ozf9Gb/AKM3/Rm/6M3/AEZv+jN/0Zv+jN/0Zv8Aow6zyZvPJm88mbzyZvPJm88mbzyZvPJm88mbzyZvPJm88mbzyZvPJm88mbzyZvPJm88mbzyZvPJm88mbzyZvPJm88mbzyZvPJm88mbzyZvPJm88mbzyYZWin1lSpUqVKlSpUqVKlSpUqVKlSpUqVKlSpUqVKh/8ALAfsg/ZLeyC9kF7Iex/s4p/ZwT+zgn9nBP7OCf2cE/s4J/ZwT+zgn9nBP7OCf2cE/s4J/ZwT+zgn9nBP7OCf2cU/s4p/ZxT+zin9nBP7OCf2cE/s4J/ZxT+zin9nFP7OKf2cE/s2Pl/ZsfL+zY+X9m18v7Nr5f2bXy/s2vl/ZtfL+za+X9m18v7Nr5f2bXy/s2vl/ZtfL+zY+X9m18v7Nr5f2bXy/s2vl/ZtfL+xHTdfEoPPt/Y+x/sV7Iv2RfsivZFQvrF9YvrHdHdGUly/8NZ4J4J4J4Z4Z4Z4J4J4Z4e5lLl/BUr/ABjCEIQhD/S9Ifb4vTHwBq2QC8avFRcLda0zEAy6yg03kqKpWnP9R62NIq29JeDtGH+Ho7g+A78/xCEIQhD/AEvSH2+L0x8ANXz2iJX1id4EBiaqIzErtH/EOncHwHfn+IQhCEId+LqNZPrt9ZpQNGl2fTxLipDZc8R/SCvTqDXBigYA5kqVWtd20GClwweD4RNSwqpcnXz/ALziOW4t6uUwEXei5y6I+US34ZZdRdW9Wt/Xp5QaW8UH1/kAArF1dn88PlvSH2+L0xDvleOb1lAApTzepFmpap1Q5+NHOYB1Mfr0gsa2rm8a+PSJUNc80bB6XByfX8RNvhFbBjpfYY/4h0+LyX1l46xxgmgl4ltETMZz7Ocruj/EIQhCEO/AUlkHoATAFFGm0bsF3CakH6E0saRDrFm6L/WkBwL60Q0BfWoFoL8CaABivp0i4oKZooeHy3pD7fF6YgCmI5BlIqiIXfOUq5ReKI0VU6CJggdhj/iNHwjL+C2XCHfH+IQhCEIf6XpD7fF6Y7GI5oJyb+h9JSLU4OOccHIZ+nvK7c/GI1WtfmWW7/gm+NrmUWMf8Ro7g+A78/xDoHr+5tnr+5tnr+5snr+5ser9zY9X7mz6v3Nn1fubPq/c2fV+5s+r9zZ9X7mz6v3Nn1fubPq/c2fV+5s+r9zZ9X7mz6v3Nn1fubPq/c2fV+5t+r9zb9X7m35H9zb8j+5t+R/c2fI/ubPkf3NnyP7mz5H9zb8j+5t+R/c2/I/ubfkf3NjyP7mz5H9zY8jGx5GNjyMbXkY2vIxteRja8jG15GNryMbXkY2vIxteRja8jG15GNryMbXkY2vIxteRja8jDKq3p8QgKw8f3Hoer9z2R/cU1PI/uPTPX9zaOPrNk4+s2SbJNojBcXLlQP8ADfjqgrKyspKSsrKykp2KlSvguX2lpeXl5WUlJX5oAqH1fwoA8eePBSN+7a6NX6k2nzm0+c2nzm0+c2nzm0+c2nzm0+c2nzm0+c2nzm0+c2nzm0+c2nzm0+c2nzm0+c2nzgCDk/I6t4r1ubb5zbfObb5zbfObb5zbfObb5zafObb5zbfObb5zbfOPTfOGBoL36y5cuXLly5cuXLly5cuX/vBlICCSl12I7CtXDu9fxe71eGp8S4c3i/aJC2GCl3q1mzP1iALlhgTRjlL6OPF5fWAUvJsv4iNLnwXzrT6wRLPi9U/Pg9U/f58f71x56yng84HohQXpcUtgN3cBcGY0PS4/T/Pea/i93q8NT4m0ilaC4TpSy4yhVXWYjltxTpsE5guTHSvzrNaqCyjpuQhqF6Gg54x01IWDS00WaN0Uim2xC7/VaZgo4rbp8Xqn5YGCXGuGjxaqLVldcC4+kADd8lC/YgbFryPHGPrBNl/UT7h8L1T9/kh8B8DH4D/daSsvNQK1ApcBylMbxq1qyouAeVyzl3ev4vd6vDU+EqArocEqq5qfULz5QFcxXrEp0OPaZgyglsa1PLr4+k8Vq4QoDTWuXG1zAXosjCUqIfVLijRPH4fVPywOQYHLXHL2mtiqqs6FV+frC8MnqMjj6xSBbr3xRW1V8T1T9+/fkD/dDdkRSYtkGU9i2OWJd2IAzWsKs9ZlBpWIK5Pnfd6/i93q8NT4WxUB448Y0sMq01RSGSJ16Ba346t+EbQNmw0PZ5R8Tpjo5njqwaubNMZKNr9Zjz1Yfi/DEbASKojWvX+XKxlSHxsT7RpegcNWFNqYUpSeL+z8Pqn58Hqn79+/Cd2f+CPkNfxe71eGp8p6p+fB6p+/fvyB/p2lpaXl+s3pvTcm5Nybk3JvTem/N+bs3WbrN1m+zfZvs3mbzNxm4zcTcTcTeRb7tq0jN/5zf+c3/nN/5zf+c3/nN/5zf+c3/nN/5zf+c3/nN/5zf+c3/nN/5zf+c3/nN/5xVy/I2txfSe7T3ae7T3ae7T3ae7T3ae7T3ae7T3ab3ziq269+ypUqVKlSpUqVKlSpUr5R0m9N6b0v1l+st1lust1lpaWlstlsuXL7ipUolEolEpKSkp0lOkp0lek2ptTam1NgmwTYJsE2CbBNgm0TbJtk2yEdB3R0HlDoPIh03kQ6byIdF5EOi8iH8oh/KIfwiH8YnsxLkA2aB8pVPtE9uJ7cT24ntxPbk9uT2ZPZk9iT2JPYk9oT2hPaE9oT2hPaE9oT2hPaE9oT2hPaE9oT2hPaE9oT2hH+Ej/GQAR1fv8A6Tp8Z8mfJHc6ndEIQmFBxetddnpBtAy3q1VfRmgFZr6+36mlMcvDrCHZ90/Pyml3gUscRLIV15TNF4molaN1485pw/UiaAvSy4kQXL3bGeqfv/paPjPkxly4S4PaXBvuTudTuiEITQzSs/X9wLV5q73Wa+G393gQh2fdPz8ppd5i3OvqZbDyeGYZkAG2OVBo7vlBPMQfy+sCgqVOOY5p008aj5mGkVKABnzzM083nyiexbm9Ctx4VDBOfdMZ65+/+lo+M+TO0JTAxLYWTRg7k7nU7q8ekARaYavP+x8GhnwcZ+kclpWu+f1LrrBYHg84EJhcA8rf1q7QQjU14Jr9oZUKC9HHKoo2Va3gjJEYgyKro9bn3T8/KaXcfcv0CUYbs120/ZLTSs161DChzn6a3Mhw1/UMgnP6yEap6eGU+5LwwPv9dPpjrBtB5eqn3PDeAuxxn6VbKhHMfQ1ekFux19MU/W5Q5MUVvcC5OnBMJXX1U/z42M9U/f8A0tHxnyZ8kdzqd0hKdIllqhA8XW5eqBXrKVOcB5RZvcfKJFlhy5TVrHPHJ6ktsFpPOBW1rX0jLCq1rHNvpPun5+U0u41guKNoQ6W/1mGqPKZbo8oDoPLw/R5EWOiLt0XMdURYpFeEr0i9Q8ptM7TWwZjmFfGxnqn7/wClolSpUqVKlfNXLly5cuXLlyyXBJZLJZLJZLJZLIi3dAgIDrAdYDrA9YHrDrQ60OtN6E4vM/PylZmb03pvTem9N6b03puE3CbxNwm4TcJuE3CbhNwm4TcJuE3CbhNwm4TcJuE3CPUI9aeqfv8A+BuWS/hqVKZTLS0t0lukv0m1NqbU2GbDNhmwzaZts22bb5TZfKbL5TZfKbrym+8pvPKbzym88pvPKbzym48puPJm48mbjyZuvJm+8mb7yZvvJm+8mb7yZvvJm+8mb7yZvvJm+8mb7yZvvJm+8mb7yZvvJm+8mb7yZvvJm+8mb7yZvvJm+8mb7yZvvJm+8mb7yZvvJm+8mb7yZvvJm+8mb7yZvvJm+8mb7yZvvJm+8mV8jo5fAntTPame1M9qZ7Uz2pntTPame1M9qZufJihp17N95M33kzceTN55TeeU2Xym2+U22bDNqX6S0pldly+y5cuXL/3RCEPgO07T4CHadpCH+H6p+dB6l7PTHwB7D2GMYxjH/wAKIQh8B2nafAQ7TtIQ/wAP1T8kDhFLc0W6nmMDRQVLQwTpVeGJSt5KlX1ND7bQl4oONPJ0ceBvBy5tRo9B6Zmvzlro5OlaQYcFMCuXO33hyMq9OuDkZV6dcU5Rqwxh0efi3KTqJ6l7PTHwB7D2GMYxjH/wohCHwHadqFZvwiVc76QsDRfxFkXQuELK3q+VxDRetaMCutGrWD6wKXzaiFLyv6RiGS9LKueHxQvTX6TT1bL0dGWwwN1Kv6QDZp/geqfkgGlqJpXlA5yt3a8yLrujXKyOWnJPowA2taW3XG88E/twIkUtvWV36qV36qL2W26scbadj1L2emPgD2HsMewrnaWix7GV8D/vCEIfAdp2thpSj7sSpp1WOVxnqKHXk4qb0p63OZb4coHgRvyXx9Yos1OlZY9dPLo+P57HCYUqx9n1/MSCxTbfHBMqrrryq7v+R9f4X7MRjXoBprcBiKC+bP0TdjWWqqzm9fT7QAKP8D1T8oBaKLFZUZNLrzJalSjS8BqDlf5IzamVNFoxuc3Wa7aXTn6jy2ekssVUMq5ePTXH2lptp9eqv5ESXRO0epez0x8Aew9hjGJEiRl9ly5f/gBCEPgO07T4CHadpCH+H6p+UB4grOQZqpcWXev0hCDWAOB4Vt9IpYZ/PWtLgipq6/btepez0x8Aew9hjGMYx/0yy0pldty5ZKSkrK9ZuTcm5N6b035uk3SHXJvk3CbhNhNpNpNtNlNlNlNtNtNpNhNh5zYec2nnDpPObfzmz85s/Obfzm385t/Obfzm385t/Obfzm385t/Obfzm385t/Obfzm385t/Obfzm385t/Obfzm385t/Obfzm385t/Obfzm385t/Obfzm385t/Obfzm385t/Obfzm385t/OO2nX5HK1XVYd+k45+k45+k45+k45+k45+k45+k45+k45+k45+k45+k9j/SaCCvYEnR0f1H2T+o+wf1H2D+o+2f1HrejHr+jHq/ePUj1Y9eMkxEZUqVKlSpUqVKlSpUqVKlf+S8GeHPBnhTwPOeF5zwfOeH5zwfOeF5zYPObR5zaPObR5zaPObR5zaPObR5zaPObR5zaPObR5zaPObR5zaPObR5zaPObR5zaPObR5zaPOINP/ECEIdhCEIQ+V9U/wDECEIdhCEIQ+V9U/8AECEIdhCECkM4dVdM/T8y7EtORacJz51pDRJSyhepvmXuGwpnXOBdjjEAbHR6WmL/ABFGLp1o09V1WPy6xno/1Ec+fVyPrNBFHHhqv2+kVsuusaPFVZPWVTsgaZeqitM6QV8XJzFYRrDaYUP8xSrq6DlvTd15Si0rWRRFPrv+O59U/PrBpnxj03rHpPWPWI9Qj1SPXI9Yj1iPUioqKiS4P/oiEIdhCE01cWARRpK6iqiLArWUwFa/WBFBiJ1ES1ZpNYL/ALBSkxBUC49aFma6539dL8pnusxF3z7n1T8/6Y+ID2GMfgD/AOjEIQ7CEIQh8r6p+f8ATHxAewxj8Af/AEasU90p7pX3SnulfdK+6A904r/JwX+Tgv8AJwX+Tgv8nBf5OC/ycF/k4L/JwX+Tgv8AJwX+Tgv8nBf5OC/ycF/k4L/JwX+Tgv8AJwX+Tgv8nBf5OC/yXD1+f9MdoC1FDwTwjsLYL+vK+OcK3qPuwFO7BgAOf4hyY5My1W8V34kGO0/+jcFf2cVf2cVf2cFf2cVf2cNf2cNf2cdf2cNf2cNf2c6vp/fkucgDp1nBP7OCf2cU/s4p/ZxT+zgn9nBP7OKf2cU/s4p/ZwT+zc+X9m58v7N75f2b3y/s3vl/ZvfL+ze+X9m98v7N75f2b3y/s3vl/ZvfL+ze+X9m98v7N75f2b3y/s3vl/YOC2XpX7+H0x2mUQYgRhSEBpCdSINIhARCPYf/AEYhCEIQhCE1vE+S9G+3+EHpj4gPYYx+AP8A6MeWmLi+vhBHkZW0OT71FBoaLxLuhouNop4lei/icta6ckpkbOafb6S8pxrf2ltZSNPj8l6N9vjIEamu/SAWhdIG648rgTTWhOutf30il6OZfmSoC3Lo69N69ZWUxi3S4BXqF58k/cDolL11p9ttZVr7qvrUWsFo4aKcnpDlei/BdeUuQ0NWct/194eBr59ajWuqeSPxC7Vbpyej3oBBTEemj00emmwj0CPQI9KL6RfSK6RUYWVA/wDROAeXT+koq5Pl+YOLbKTjygIg1gPJuJa0yJgrX65ga1gFJLhazRj6ZgwtsV6fdBGJ4Mmw3+IglC9bL+upLY1btd/kvRvt8bJ0JXrd3HNTV4bckWEHkorOl6sLBD1Vl4t+eMwCtfDo6XfrVxFYrzWnhi+UW62i8V1n0lRpLbJetN+WMQnQGK56TW8mlFBf1fvOpcr1brq6lyIs3ph4N+WMTq+Vetytp1+4v5gihjkGHFW516f++BBc0UJHStTP2gGpXGpXPwI2RzOdtvGCo3WbQvnjk/aO0I5C9K5U/WWgtYtaz5fyUqxVAfHqcXLFTQF5DjwgNW0sor6c/Wa3ifJejfaDnNsmP1tfMh+4dWv3IMrqnLGMj6NXx15R30FoFHJrPPyqBArC3gcjx5R65XodT02h+nKi/FCAhbwGs31cucXUmOf6EGNjCq6HPH5IUqjJ1Dd8n6SgTNWvmHLxitBy+4TqIAfAX6axgaTD1FehdecQqcgGi/Gn3mVtNFpQPAAs8/GUqksaK12EDutsGunXlzlIpA6s/C4WY8QJ1Gpz08oklopKLfop1S/CPDU0w0Wa0OmGO2vFH0cG5fQToteKsZvn9UDSFUKsaHO3Xr/7gBFMqjatzIpV/kW87+sAVSifmGKlEv11iGstnPn+vSFpW3z53BG1VpmCotQ0OX782a3ifJejfaBW+TflM4hVK/VK/MCrLQ2cn79ambVyvovXpeu9RCooOoOHjaoBWun0DkTBOZT63+4FDjI+WZYBVRVutfiNznxr9QFBF617QJtOAYrQ01GF5ZWtdpQFlF0laPLIlSueiviutxbQrLDo+0BZJCqa/BBsKgouseQdOeYYBUpvG0XBVRSutfiMrU+NfojvSYIyMKraBxatN5ronTec4FL+jcQcoaBo8ul+SSolC26Krp02/wDcAQhCEIQhCa3ifJejfb/iYb83PSb3pNz0m/6Td9Cb/oTc9Cb3oTd9CXpx4fJAA4CtCb/oTf8AQm/6E3fQm76E3fQnGCcYJxAnECcAJsPImw8ibTyJtPIm08ibTyJtPIm08ibTyJtPIm08ibTyJtPIm08ibTyJtPIm08iVdrr8/wDAKc2VOFc4VzhXOFc4VzhXOFc4VzhXOFc4VzhXOFc4VzhXOFc4VzhXOFc4Vwgw6/8AGvsv4+V9U/8AGvsv47BQ6q9B/MEfV+PRnPD+kACbtQ+mbijHMw8S9Zi0lNh+DBSPIgQKaAu9T3lwtB4ycoqmwOfh0OfFQEs0joGnqcn6wXR4xHAefpv5pBZxq9ZiGnIvyg4PK4vkfXs9U/8AGvsv47K+BFeqcg6unWLJ1HwXy5XjEtiq3l0oJ9amJgaVHGEdmDHIKNC4xycNv0lAg8wLd45P7ihVDVHPzitKClUN566GktQoBqmb+lY9Yuqrk9PpWa8Y3KYD6fupZWrxq6ctDlL0DnDa6q4yE5xj9jrcQEUUypz11TCLMD6KPA0j9AY6sLbDwN/h2eqf+NfZfx8r6p/419l/Hyvqn/jTlqpvvNm+82b7zZvvNm+82b7zZvvNm+82b7zZvvNm+82b7zZvvNm+82b7zZvvNm+82b7zZvvNm+82NDB5TZeU2XlDpPKbTym08ptPKbTym08ptPKbTym08ptPKbTym08ptPKbTym08ptPKbTym08ptPKbTym08ptPKbTym08ptPKPSeUIGdX/AIlpeHafMs9S/wDEtLw7Ttcm6HnL3o4CKtcGk3oe0AOX2nH5iKcraoeqv74QFEsTfD99oytak8iKIFiNy+Rw+EpiCBd78sRrwGTbGr4TS26sTmfyLmBEeLgfzB0DI1cj93HACgbUqv7+UQDvqaUaseCWVnmtr6VFvaviM9S/8S0vDtO1AppEdL0+pKwQg3gTw5tNYnIqFXXKvrzqpS3h/THrKRCjfVrev6RtRWkp6PUmKoNeM9Gs/e4osMKoXXhkg8aMA0u60dTMaDot276ldNoa/dKxgD11iTAGzJgMN1y6TWKkVnNm+nnBFcirrGVhV6fWVCHITDcS1+ZDbM1ywpvS/PMtrD4U/L4mepf+JaXh2nzLPUv/ABKuYeZNl5k2XmQ6LzJsvMmy8ybLzJsfMmx8ye5E96J70T3onvRPeie9E96J70T3onvRPeie9E96J70T3onvRPeie9Eeh8yAuaW/8UC2ibnym58pufKb3ym98p7VPap7VPbp7dPbp7NPZp7NPZp7NPZp7NPZp7NPZp7NPZp7NPZpvfKbnyj1/lN35TceU3HlN1N9NxNpmyzbj0JtS0p7L/4J6w+ZYx7D2GPYYxjGMYxj/wAEesPmWMew9hj2GMYxjGMY/wDBHrDusHoV1I6bJA1LIowpbVvodW+sS2oteS45ZOuuHlDWTZap4taekzs5UApWBvHWNsK9YCyxdDWSC6tAotz5rdvTXlFQLdgO380+kqNW5lcuVN+kCSLLNw16fpGbG/2Iqy5Rm6tXoporyYetS6XLLodH8fUiCKirxd8jTTl9Vl50VTxH5MzFuCQF40MtcucCm2ssU0PPpeRfh94g06PzLNg55+StPOWTVwaNfkjaulfaNcus1t4MftjGMYxjGMP+B+sO6SoupNaOd/XrFLzESAwxmxnjziwFYNPpM0MnHKGUKCJiGJyzN3A6DN39YLTgxBSYPxpKEWMNIzpNQOd/XT7Smo0/MNoR0DED0I5sZi1pmPbqWLrMTVcoxjGMYxjD/gfrD5ljHsPYY9hjGMYxjGMP+BgBeTN18puvlN98pvvlN98puvlN18puvlN98pvvlN98pvvlN98pvvlN98pvvlN98pvvlN98pvvlN98pvvlN98pvvlHrvlHqvlHrPlHc8o7vlHd8o7nlHejvx34yZMWDBERGJA//AB20lJZKSkpKSkpKSkpLJSUlJSUlkpKSkpKSkpKSkpKSk2ptTam1NqbUv0m1NqX6S/SX6S/SX6S/SX6S/SX6S/SX6S/SX6S/SX6S/SX6S/SX6S/SX6S/SbL5TdeU2Xym68puvKbrym68puvKbrym68puvKbrym68puvKbrym68puvKbrym68puvKbrym68puvKbrym68puvKbrym68psvlNx5TbfKbzym88pvPKbzym88pvPKbzym88pvPKbzym88pvPKbzym88pvPKbzym88pvPKbzym88pvPKbzym88pvPKbzym88pvPKbzym88pvPKbzyiVh/0tH+/pfPmnz/ABDq/Pnyb/gFBUFQVUFVQW9N6b03pvTem9N6b03pvTem9N6b03pvTem9N6b03pvTem9N6b03pvTem9ADX0Jv+hN/0Jv+hN/0Jv8AoTf9Cb/oTf8AQm/6E3/Qm/6E3/Qm/wChN/0Jv+hN/wBCb/oTf9Cb/oTf9Cb/AKE3/Qm/6E3/AEJv+hN/0Jv+hN/0Jv8AoTf9CbTyJtPIm08ibTyJtPIm08ibTyJtPIm08ibTyJtPIm08ibTyJtPIm08ibTyJtPIm08ibTyJtPIm08ibTyJtPIm08ibTyJtPIm08ibTyJtPIm08ibTyIrLVblSpUqVKlSpUqVKlSpUqVKlSpUqVKlSpUqUSof/gwC5UqBEiZlRJWOwJUqVmVKlECJElSoESV2VKlQIkSB/wAPJzi5hrHWOs59nLsI47OcNJUSGsdYznEh2PXs1Iay4R7BE7K7iv8AgrrKzDWOsdZzhOXYEdO007GGsdZznOMqMNe3nKhpHSMOwh2Pwnx8+7f/AGay5b23Lg1Biy4suXLly+xly5cGXL7Bly5cuXLl/FfdX2X2X8N//CFcS0tLS0tLSgU3GbjNxm4zcZuM3GCNrib70m+9JvvSb70m+9JvvSb70m+9JvvSb70m+9JvvSb70m+9JvvSb70m+9JvvSb70m+9JvvSb70m+9Il1en6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6nAH6mCnaXLl/IAAC5fcgFy/iBcv4gXL+AXL7S5cvtLl/KnT49D69xo+Yav8AX1PH/wAi6fHofXuNHzDV/r6nj/vHyej49D69xo+Yav8AX1PH/ePlKSiUlJSUQxpN6b03pfrL9ZvTegWizdec3XnN15zdec3XnN15zdec3XnN15zdec3XnN15zdec3XnN15zdec3XnN15zdec33nN15zdec3XnN95zeec3nnN55zeec3nnN55zeec3HnN55zeec3nnN55zeec3nnN55zeec3nnN55zeec3nnN55zeec3nnN55zeec3nnN55zeec3nnN55zeec3nnN55zeec3nnN55zeec3nnN55zeec3nnN55zeec3nnN55zeec3nnN55zeec3nnN55zeec3nnN55/O131f8A7Erl93cuXLl93cv4b7m5cuXLly5fc3Lly5cuX3Ny5cuXLly+5uXLl99cuX/8n6ld5Ur4q7qpUqVKlf5dSpUqV3lSpUrua/7FuTcm5Nybs3IusTY+02PtNr7Ta+02PtNj7Ta+0/bh+5xH9pxn9pxn9pxH9pxH9pxn9pxn9pxn9pxn9pxH9pxH9pxn9pxn9pxn9pxn9pxH9pxH9pxn9pxn9pxn9pxn9pxn9pxn9oJ/X7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Tjv7Rw1Lly5cuXLly5cuXLJcsly5cuXLly5cuXLly5cuXLJcuXLlkuXLly5cuXLly5cuXLly5cuXLly/lNHx6H17jR8w1f6+p4/wC8fJuSW6y3WW6y3WW6y3WUCmxNibE2JTpNibEEbWZvpupupvpvpvpupupvpvpvpupupupvpvpvpvpupupvpvpvoJ1TczezezezezezczczczczczczczezezezezezezezczczczczczczczczczczczczczczczczczczczczczczczczczczczczczczczczczczJXtKlSpXdgBUqV8YFSvhCpUr4QqV2lSpXaVK7SpUqVKldipX/wB4QSwOok84hXhpPv8A8tABR1tPEc9jTnLEfQHdL2U6V1hLzKhzdNN7+G/SAW17uGPr0tiy5cvsLBlxZfYtS5cuD8BcGX/xW6ZKGDFhSO1Z+kZRks54z/brGh8mHQvW9Oi+suboTyfjsSHYI6xmk59i+1cdew1jr2OvY4Yf8V1+IU7mHz1+svjA+oWeNle/jEvzOededmnjBXt1/RzbWMfXtdYnY6xZrAz2LO0QS4Gbi5lx1i9g/wCK3j8Tk+JwwATDgWxXRLedfsLfnEi2av8A/FF//9k=\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# from IPython.display import Image\n",
    "Image(filename='./wine-reviews/wine-sweetness-chart-wine-folly1.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "_cell_guid": "c4ed6c49-c660-4a15-a237-4d6f58e88a7e",
    "_uuid": "d950592dd47504c02568f3623f5e60278b50ee54"
   },
   "outputs": [],
   "source": [
    "import nltk.classify.util\n",
    "from nltk.classify import NaiveBayesClassifier\n",
    "from nltk.corpus import names\n",
    " \n",
    "def word_feats(words):\n",
    "    return dict([(word, True) for word in words])\n",
    "# just select few words to express sweet and dry\n",
    "sweet_vocab = [ 'sweet', 'Fruit', 'port', 'muscat', 'semi sweet', 'medium sweet', 'very sweet', 'sauterves',':)' ]\n",
    "dry_vocab = [ 'dry', 'off dry', 'medium dry','secco', 'extra', ':(' ]\n",
    "unknown_vocab = [ 'the','are','were', 'was','is','did','words','not' ]\n",
    " \n",
    "sweet_features = [(word_feats(sweet), 'sweet') for sweet in sweet_vocab]\n",
    "dry_features = [(word_feats(dry), 'dry') for dry in dry_vocab]\n",
    "unknown_features = [(word_feats(unk), 'unk') for unk in unknown_vocab]\n",
    " \n",
    "train_set = dry_features + sweet_features + unknown_features\n",
    " \n",
    "classifier = NaiveBayesClassifier.train(train_set) \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "_cell_guid": "048a479f-a327-4233-9e85-df0741547062",
    "_uuid": "d62e5b3175eac5dbbe9dc1a8d5a0b699a0a06018"
   },
   "outputs": [],
   "source": [
    "# define function for classifying sweet and dry\n",
    "def dry_sweet(sentence):\n",
    "    sentence= sentence.lower()\n",
    "    words = sentence.split(' ')\n",
    "    dry=0\n",
    "    sweet=0\n",
    "    #words\n",
    "    for word in words:\n",
    "        classResult = classifier.classify( word_feats(word))\n",
    "        if classResult == 'dry':\n",
    "            dry = dry + 1\n",
    "        if classResult == 'sweet':\n",
    "            sweet = sweet + 1\n",
    "    s = str(float(sweet)/len(words))\n",
    "    d = str(float(dry)/len(words))\n",
    "    return(s, d)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "_cell_guid": "e3df1415-d32b-43c8-bc7d-7aec8788320c",
    "_uuid": "c620d637c2d47f0db53abecfbbacac00b0e69f6b",
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/kirosgebremariam/anaconda3/envs/dsi/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \n",
      "/Users/kirosgebremariam/anaconda3/envs/dsi/lib/python3.6/site-packages/ipykernel_launcher.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  This is separate from the ipykernel package so we can avoid doing imports until\n"
     ]
    }
   ],
   "source": [
    "# Converting description into the point (numerical numbers)\n",
    "worse['s & d']= worse['description'].apply(lambda x: dry_sweet(x))\n",
    "better['s & d']= better['description'].apply(lambda x: dry_sweet(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "_cell_guid": "fe20042f-cc93-490d-a763-1b34a9292395",
    "_uuid": "accecb95be35440d715e50b6337c6928025cc84c"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tuple"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(worse['s & d'][1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "_cell_guid": "79a14470-e4c6-4425-93e6-83ab173a7991",
    "_uuid": "c0a3f8be8aacf8a02eaef1349450922cd611f882"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/kirosgebremariam/anaconda3/envs/dsi/lib/python3.6/site-packages/pandas/core/frame.py:3137: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  self[k1] = value[k2]\n"
     ]
    }
   ],
   "source": [
    "# Add new columuns into dataframes\n",
    "worse[['sweet', 'dry']] = worse['s & d'].apply(pd.Series)\n",
    "better[['sweet', 'dry']] = better['s & d'].apply(pd.Series)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "_uuid": "c0a6c8182cc2bca76974f523850a63184b762d69"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tuple"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(worse['s & d'][1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "_uuid": "63481b6d3fd6b3311be11ad10689423ad8d69d22"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/kirosgebremariam/anaconda3/envs/dsi/lib/python3.6/site-packages/pandas/core/frame.py:3137: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  self[k1] = value[k2]\n"
     ]
    }
   ],
   "source": [
    "# Add new columuns into dataframes\n",
    "worse[['sweet', 'dry']] = worse['s & d'].apply(pd.Series)\n",
    "better[['sweet', 'dry']] = better['s & d'].apply(pd.Series)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "_uuid": "753a10765dba611be23d595ecaa148d0f47e5c8f"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 27851 entries, 40832 to 42197\n",
      "Data columns (total 16 columns):\n",
      "country                  27851 non-null object\n",
      "description              27851 non-null object\n",
      "designation              22762 non-null object\n",
      "points                   27851 non-null int64\n",
      "price                    27851 non-null float64\n",
      "province                 27851 non-null object\n",
      "region_1                 24194 non-null object\n",
      "region_2                 14566 non-null object\n",
      "taster_name              22897 non-null object\n",
      "taster_twitter_handle    22025 non-null object\n",
      "title                    27851 non-null object\n",
      "variety                  27851 non-null object\n",
      "winery                   27851 non-null object\n",
      "s & d                    27851 non-null object\n",
      "sweet                    27851 non-null object\n",
      "dry                      27851 non-null object\n",
      "dtypes: float64(1), int64(1), object(14)\n",
      "memory usage: 3.6+ MB\n"
     ]
    }
   ],
   "source": [
    "better.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "_uuid": "eeea2c68b0228b3c42b6826efc9fb5ee1ad89c72"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/kirosgebremariam/anaconda3/envs/dsi/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \n",
      "/Users/kirosgebremariam/anaconda3/envs/dsi/lib/python3.6/site-packages/ipykernel_launcher.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  This is separate from the ipykernel package so we can avoid doing imports until\n"
     ]
    }
   ],
   "source": [
    "# convert object into numeric\n",
    "worse['sweet']=worse['sweet'].astype('float64')\n",
    "better['sweet']=better['sweet'].astype('float64')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "_uuid": "7e6bd21d9a7432def55a73d9469ab263d1a946e0"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('Worse =', 0.5838702749862196, 'Better =', 0.5806236159437026)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'Worse =', worse.sweet.mean(), 'Better =', better.sweet.mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "f003b691026b829121d11dcd49dcd798dfb8f9f4"
   },
   "source": [
    "Comment: Worse wines are slightly sweeter than better wines. That means my hypothesis was wrong."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "8e4bca81-c780-47ed-9449-69115373ff8b",
    "_uuid": "b34ceb35b33c8bc658a219a1989f8111350aff44",
    "collapsed": true
   },
   "source": [
    "# Application of Natural Language Processing "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "_uuid": "bde38ceefbab88429654a184310b9c0034982a93"
   },
   "outputs": [],
   "source": [
    "#Load requisite packages\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.feature_extraction.text import ENGLISH_STOP_WORDS\n",
    "import string\n",
    "from wordcloud import WordCloud\n",
    "import matplotlib.pyplot as plt\n",
    "from collections import Counter\n",
    "import re\n",
    "import nltk\n",
    "from nltk.stem.porter import PorterStemmer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "_uuid": "5a4b473bea67d130814630ba7e88d0d3011d452d"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "country                  120915\n",
       "description              120915\n",
       "designation               86148\n",
       "points                   120915\n",
       "price                    120915\n",
       "province                 120915\n",
       "region_1                 101400\n",
       "region_2                  50292\n",
       "taster_name               96420\n",
       "taster_twitter_handle     91500\n",
       "title                    120915\n",
       "variety                  120915\n",
       "winery                   120915\n",
       "dtype: int64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Start EDA process\n",
    "# clean data (drop NaN in price, variety and country)\n",
    "df = df.dropna(subset=['price','country','variety'])\n",
    "df.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "_uuid": "bc533af9c90980437b0ec90e31d54e58b67eb7d2"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "US                        54265\n",
       "France                    17776\n",
       "Italy                     16914\n",
       "Spain                      6573\n",
       "Portugal                   4875\n",
       "Chile                      4415\n",
       "Argentina                  3756\n",
       "Austria                    2799\n",
       "Australia                  2294\n",
       "Germany                    2120\n",
       "New Zealand                1378\n",
       "South Africa               1293\n",
       "Israel                      489\n",
       "Greece                      461\n",
       "Canada                      254\n",
       "Hungary                     145\n",
       "Bulgaria                    141\n",
       "Romania                     120\n",
       "Uruguay                     109\n",
       "Turkey                       90\n",
       "Georgia                      84\n",
       "Slovenia                     80\n",
       "Croatia                      71\n",
       "Mexico                       70\n",
       "England                      69\n",
       "Moldova                      59\n",
       "Brazil                       47\n",
       "Lebanon                      35\n",
       "Morocco                      28\n",
       "Peru                         16\n",
       "Ukraine                      14\n",
       "Czech Republic               12\n",
       "Serbia                       12\n",
       "Macedonia                    12\n",
       "Cyprus                       11\n",
       "India                         9\n",
       "Switzerland                   7\n",
       "Luxembourg                    6\n",
       "Armenia                       2\n",
       "Bosnia and Herzegovina        2\n",
       "Slovakia                      1\n",
       "China                         1\n",
       "Name: country, dtype: int64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check how many country produce wine?\n",
    "df['country'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "_uuid": "e324cc64d28d2b52241b95a73b40af521eb6ddd0"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 54265 entries, 2 to 129967\n",
      "Data columns (total 13 columns):\n",
      "country                  54265 non-null object\n",
      "description              54265 non-null object\n",
      "designation              36751 non-null object\n",
      "points                   54265 non-null int64\n",
      "price                    54265 non-null float64\n",
      "province                 54265 non-null object\n",
      "region_1                 53989 non-null object\n",
      "region_2                 50292 non-null object\n",
      "taster_name              37511 non-null object\n",
      "taster_twitter_handle    34535 non-null object\n",
      "title                    54265 non-null object\n",
      "variety                  54265 non-null object\n",
      "winery                   54265 non-null object\n",
      "dtypes: float64(1), int64(1), object(11)\n",
      "memory usage: 5.8+ MB\n"
     ]
    }
   ],
   "source": [
    "# This time only US wine will be used,\n",
    "df_US = df[(df.country == 'US') ]\n",
    "df_US.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "_uuid": "5aaed432ab4e64bbd7623d87b1b8a5b8d96295ef"
   },
   "outputs": [],
   "source": [
    "# extract all words in descriptions for US wine\n",
    "us_descs = df_US['description'].values\n",
    "us_descs = \" \".join(us_descs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "_uuid": "ab58fafed11e4fc69b416f3adb959b51b6938027"
   },
   "outputs": [],
   "source": [
    "def tokenize(text):\n",
    "    text = text.lower()\n",
    "    text = re.sub('[' + string.punctuation + '0-9\\\\r\\\\t\\\\n]', ' ', text)\n",
    "    tokens = nltk.word_tokenize(text)\n",
    "    tokens = [w for w in tokens if len(w) > 2]\n",
    "    tokens = [w for w in tokens if not w in ENGLISH_STOP_WORDS]\n",
    "    return tokens \n",
    "\n",
    "def stemwords(words):\n",
    "    stemmer = PorterStemmer()\n",
    "    words = [stemmer.stem(w) for w in words] # stem words \n",
    "    return words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: nltk in /Users/kirosgebremariam/anaconda3/envs/dsi/lib/python3.6/site-packages (3.3)\n",
      "Requirement already satisfied: six in /Users/kirosgebremariam/anaconda3/envs/dsi/lib/python3.6/site-packages (from nltk) (1.11.0)\n"
     ]
    }
   ],
   "source": [
    "!pip install nltk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already up-to-date: pip in /Users/kirosgebremariam/anaconda3/envs/dsi/lib/python3.6/site-packages (18.0)\r\n"
     ]
    }
   ],
   "source": [
    "!pip install --upgrade pip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import nltk\n",
    "# nltk.download('punkt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import nltk\n",
    "# nltk.download()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "_uuid": "692f4ae1543514442a7cde4ef3fb10bcd0e99442"
   },
   "outputs": [],
   "source": [
    "# create counter of best words \n",
    "us_words = stemwords(tokenize(us_descs))\n",
    "us_ctr = Counter(us_words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "_uuid": "895b693fe322c228d95601d414e1d6ec30cdb04a"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# cloud for best words\n",
    "wordcloud = WordCloud()\n",
    "wordcloud.fit_words(us_ctr)\n",
    "\n",
    "fig=plt.figure(figsize=(10, 6))   # Prepare a plot 5x3 inches\n",
    "plt.imshow(wordcloud)\n",
    "plt.axis(\"off\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "96cdf72606d2505940bcc917b13fc0bc22a552bd"
   },
   "source": [
    "### Logistic regression for classiffying"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "0c3cac40fcd511405489a5d92faa865dc0e63d22"
   },
   "source": [
    "Hypothesis 3: How much accurate the reviewer's comments? (Can we predict the wine-type from their descriptions?)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "_uuid": "b977c76e9255adea1d37e85de30f153c644bb62a"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(69628, 5) (23210, 5) (69628,) (23210,)\n"
     ]
    }
   ],
   "source": [
    "# Again clean data\n",
    "from sklearn.model_selection import train_test_split\n",
    "data = df1.drop(['country','designation','points','province','region_1','region_2','variety','winery'], axis = 1)\n",
    "y = df1.variety\n",
    "\n",
    "data_train, data_test, y_train, y_test = train_test_split(data, y, random_state=1)\n",
    "print(data_train.shape, data_test.shape, y_train.shape, y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "_uuid": "3e530fc9d810ac1cb8053f2434d2e4a027d91f0c"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Bordeaux-style Red Blend',\n",
       " 'Cabernet Franc',\n",
       " 'Cabernet Sauvignon',\n",
       " 'Champagne Blend',\n",
       " 'Chardonnay',\n",
       " 'Grüner Veltliner',\n",
       " 'Malbec',\n",
       " 'Merlot',\n",
       " 'Nebbiolo',\n",
       " 'Pinot Grigio',\n",
       " 'Pinot Gris',\n",
       " 'Pinot Noir',\n",
       " 'Portuguese Red',\n",
       " 'Red Blend',\n",
       " 'Rhône-style Red Blend',\n",
       " 'Riesling',\n",
       " 'Rosé',\n",
       " 'Sangiovese',\n",
       " 'Sauvignon Blanc',\n",
       " 'Sparkling Blend',\n",
       " 'Syrah',\n",
       " 'Tempranillo',\n",
       " 'White Blend',\n",
       " 'Zinfandel']"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Make list for thr wine-type\n",
    "\n",
    "wine =df1.variety.unique().tolist()\n",
    "wine.sort()\n",
    "wine[:24]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "_uuid": "1da9bf70c9648b8c24bc8617b851ea3b531bdacc"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['blanc',\n",
       " 'blend',\n",
       " 'bordeaux-style',\n",
       " 'cabernet',\n",
       " 'champagne',\n",
       " 'chardonnay',\n",
       " 'franc',\n",
       " 'grigio',\n",
       " 'gris',\n",
       " 'grüner',\n",
       " 'malbec',\n",
       " 'merlot',\n",
       " 'nebbiolo',\n",
       " 'noir',\n",
       " 'pinot',\n",
       " 'portuguese',\n",
       " 'red',\n",
       " 'rhône-style',\n",
       " 'riesling',\n",
       " 'rosé',\n",
       " 'sangiovese',\n",
       " 'sauvignon',\n",
       " 'sparkling',\n",
       " 'syrah']"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Make lower case of every wine-type\n",
    "output = set()\n",
    "for x in df1.variety:\n",
    "    x = x.lower()\n",
    "    x = x.split()\n",
    "    for y in x:\n",
    "        output.add(y)\n",
    "\n",
    "variety_list =sorted(output)\n",
    "variety_list[:24]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "_uuid": "13cd459d32378b947c42e1c1c96558f0ef0159d2"
   },
   "outputs": [],
   "source": [
    "extras = ['.', ',', '\"', \"'\", '?', '!', ':', ';', '(', ')', '[', ']', '{', '}', 'cab',\"%\"]\n",
    "from nltk.corpus import stopwords\n",
    "stop = set(stopwords.words('english'))\n",
    "stop.update(variety_list)\n",
    "stop.update(extras)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "_uuid": "f5dbdafbfd6cc0d33a062b64215d5a16e748f11b"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/kirosgebremariam/anaconda3/envs/dsi/lib/python3.6/site-packages/sklearn/feature_extraction/text.py:286: UserWarning: Your stop_words may be inconsistent with your preprocessing. Tokenizing the stop words generated tokens ['bordeaux', 'rhône', 'style'] not in stop_words.\n",
      "  sorted(inconsistent))\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<69628x24200 sparse matrix of type '<class 'numpy.float64'>'\n",
       "\twith 1748470 stored elements in COOrdinate format>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from scipy.sparse import hstack\n",
    "from sklearn.feature_extraction.text import CountVectorizer \n",
    "vect = CountVectorizer(stop_words = stop)\n",
    "data_train_dtm = vect.fit_transform(data_train.description)\n",
    "price = data_train.price.values[:,None]\n",
    "data_train_dtm = hstack((data_train_dtm, price))\n",
    "data_train_dtm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "_uuid": "dc53540399482439146f81f19df7c3578340413f"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<23210x24200 sparse matrix of type '<class 'numpy.float64'>'\n",
       "\twith 578953 stored elements in COOrdinate format>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_test_dtm = vect.transform(data_test.description)\n",
    "price_test = data_test.price.values[:,None]\n",
    "data_test_dtm = hstack((data_test_dtm, price_test))\n",
    "data_test_dtm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "_uuid": "f70e63126b0cbb91f665ba28d9ab8fce580041b6"
   },
   "outputs": [],
   "source": [
    "# Create predicting model using Logistic regression\n",
    "# Step 1 creating regression model using logistic regression\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "models = {}\n",
    "for z in wine:\n",
    "    model = LogisticRegression(random_state=0)\n",
    "    y = y_train == z\n",
    "    model.fit(data_train_dtm, y)\n",
    "    models[z] = model\n",
    "\n",
    "testing_model = pd.DataFrame(columns = wine)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "_uuid": "80f68117d081e2f4e6d327c635e4b08e2738b470"
   },
   "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>Bordeaux-style Red Blend</th>\n",
       "      <th>Cabernet Franc</th>\n",
       "      <th>Cabernet Sauvignon</th>\n",
       "      <th>Champagne Blend</th>\n",
       "      <th>Chardonnay</th>\n",
       "      <th>Grüner Veltliner</th>\n",
       "      <th>Malbec</th>\n",
       "      <th>Merlot</th>\n",
       "      <th>Nebbiolo</th>\n",
       "      <th>Pinot Grigio</th>\n",
       "      <th>...</th>\n",
       "      <th>Rhône-style Red Blend</th>\n",
       "      <th>Riesling</th>\n",
       "      <th>Rosé</th>\n",
       "      <th>Sangiovese</th>\n",
       "      <th>Sauvignon Blanc</th>\n",
       "      <th>Sparkling Blend</th>\n",
       "      <th>Syrah</th>\n",
       "      <th>Tempranillo</th>\n",
       "      <th>White Blend</th>\n",
       "      <th>Zinfandel</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>0 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [Bordeaux-style Red Blend, Cabernet Franc, Cabernet Sauvignon, Champagne Blend, Chardonnay, Grüner Veltliner, Malbec, Merlot, Nebbiolo, Pinot Grigio, Pinot Gris, Pinot Noir, Portuguese Red, Red Blend, Rhône-style Red Blend, Riesling, Rosé, Sangiovese, Sauvignon Blanc, Sparkling Blend, Syrah, Tempranillo, White Blend, Zinfandel]\n",
       "Index: []\n",
       "\n",
       "[0 rows x 24 columns]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Show the test model\n",
    "testing_model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "_uuid": "475ec16448b6772517319114433e302f77301083"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('Accuracy Score:', 64.136148211977599, '%')"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create predicting model using Logistic regression\n",
    "# Step 2 making predicted model\n",
    "for variety in wine:\n",
    "    testing_model[variety] = models[variety].predict_proba(data_test_dtm)[:,1]\n",
    "    \n",
    "predicted_wine = testing_model.idxmax(axis=1)\n",
    "\n",
    "comparison = pd.DataFrame({'actual':y_test.values, 'predicted':predicted_wine.values})   \n",
    "\n",
    "from sklearn.metrics import accuracy_score\n",
    "#Show the results (accuracy of the predicted model)\n",
    "'Accuracy Score:',accuracy_score(comparison.actual, comparison.predicted)*100,\"%\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "_uuid": "4737bdc20b23da091cf8e873803987b75c0a97a7"
   },
   "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>actual</th>\n",
       "      <th>predicted</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Pinot Gris</td>\n",
       "      <td>Sauvignon Blanc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Sauvignon Blanc</td>\n",
       "      <td>Sauvignon Blanc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Chardonnay</td>\n",
       "      <td>Chardonnay</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Chardonnay</td>\n",
       "      <td>Chardonnay</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Chardonnay</td>\n",
       "      <td>Chardonnay</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Rosé</td>\n",
       "      <td>Sauvignon Blanc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Pinot Noir</td>\n",
       "      <td>Pinot Noir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Red Blend</td>\n",
       "      <td>Red Blend</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Syrah</td>\n",
       "      <td>Pinot Noir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Pinot Noir</td>\n",
       "      <td>Pinot Noir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Merlot</td>\n",
       "      <td>Cabernet Sauvignon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Nebbiolo</td>\n",
       "      <td>Nebbiolo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Cabernet Sauvignon</td>\n",
       "      <td>Cabernet Sauvignon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Cabernet Sauvignon</td>\n",
       "      <td>Cabernet Sauvignon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Cabernet Sauvignon</td>\n",
       "      <td>Cabernet Sauvignon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Zinfandel</td>\n",
       "      <td>Pinot Noir</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Portuguese Red</td>\n",
       "      <td>Portuguese Red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Sauvignon Blanc</td>\n",
       "      <td>Sauvignon Blanc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Rosé</td>\n",
       "      <td>Rosé</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Chardonnay</td>\n",
       "      <td>Chardonnay</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Sangiovese</td>\n",
       "      <td>Nebbiolo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Sparkling Blend</td>\n",
       "      <td>Chardonnay</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Nebbiolo</td>\n",
       "      <td>Nebbiolo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Red Blend</td>\n",
       "      <td>Red Blend</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                actual           predicted\n",
       "0           Pinot Gris     Sauvignon Blanc\n",
       "1      Sauvignon Blanc     Sauvignon Blanc\n",
       "2           Chardonnay          Chardonnay\n",
       "3           Chardonnay          Chardonnay\n",
       "4           Chardonnay          Chardonnay\n",
       "5                 Rosé     Sauvignon Blanc\n",
       "6           Pinot Noir          Pinot Noir\n",
       "7            Red Blend           Red Blend\n",
       "8                Syrah          Pinot Noir\n",
       "9           Pinot Noir          Pinot Noir\n",
       "10              Merlot  Cabernet Sauvignon\n",
       "11            Nebbiolo            Nebbiolo\n",
       "12  Cabernet Sauvignon  Cabernet Sauvignon\n",
       "13  Cabernet Sauvignon  Cabernet Sauvignon\n",
       "14  Cabernet Sauvignon  Cabernet Sauvignon\n",
       "15           Zinfandel          Pinot Noir\n",
       "16      Portuguese Red      Portuguese Red\n",
       "17     Sauvignon Blanc     Sauvignon Blanc\n",
       "18                Rosé                Rosé\n",
       "19          Chardonnay          Chardonnay\n",
       "20          Sangiovese            Nebbiolo\n",
       "21     Sparkling Blend          Chardonnay\n",
       "22            Nebbiolo            Nebbiolo\n",
       "23           Red Blend           Red Blend"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Show results\n",
    "comparison.head(24)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "0620e5eeb39a6e25536d58218cad296c95fd6257"
   },
   "source": [
    "Comments: Wine reviews do not represent accurately wine-types.(64% of accuracy)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "27cd987c6d93ec25f5167af5e1962fcd25ffa9e5"
   },
   "source": [
    "# Notes taken"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_uuid": "3c9da69313530b53abf1adeed94f880fe4e97380"
   },
   "source": [
    "The following things are found:\n",
    "\n",
    "A.There's not a significant correlation between the cost of wine and its rating (because 0.477 == moderate relationship (usually 0.5 ~ 1.0 == strong relationship)), namely theres an average $1.24 increase for every one point incrase in rating.\n",
    "B. Worse wines are slightly sweeter than better wines.\n",
    "C. Wine reviews do not represent accurately wine-types.(64% of accuracy)"
   ]
  }
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