wine_review_code.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Wine review project\n",
    "#### Data mining on wine review dataset from grapes variety all over the world.\n",
    "\n",
    "- Witch wine should I buy in a supermarket based on grapes variety in Italy?\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "#import plotly.express as px\n",
    "import seaborn as sns\n",
    "from scipy import stats\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy.optimize import curve_fit\n",
    "import sys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "path = sys.path[0] \n",
    "data_path = '/data/winemag-data_first150k.csv'\n",
    "df=pd.read_csv(path + data_path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Rename Unamed colum to ID column "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.rename(columns = {'Unnamed: 0':'ID'}) # "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</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>variety</th>\n",
       "      <th>winery</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>US</td>\n",
       "      <td>This tremendous 100% varietal wine hails from ...</td>\n",
       "      <td>Martha's Vineyard</td>\n",
       "      <td>96</td>\n",
       "      <td>235.0</td>\n",
       "      <td>California</td>\n",
       "      <td>Napa Valley</td>\n",
       "      <td>Napa</td>\n",
       "      <td>Cabernet Sauvignon</td>\n",
       "      <td>Heitz</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Ripe aromas of fig, blackberry and cassis are ...</td>\n",
       "      <td>Carodorum Selección Especial Reserva</td>\n",
       "      <td>96</td>\n",
       "      <td>110.0</td>\n",
       "      <td>Northern Spain</td>\n",
       "      <td>Toro</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Tinta de Toro</td>\n",
       "      <td>Bodega Carmen Rodríguez</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>US</td>\n",
       "      <td>Mac Watson honors the memory of a wine once ma...</td>\n",
       "      <td>Special Selected Late Harvest</td>\n",
       "      <td>96</td>\n",
       "      <td>90.0</td>\n",
       "      <td>California</td>\n",
       "      <td>Knights Valley</td>\n",
       "      <td>Sonoma</td>\n",
       "      <td>Sauvignon Blanc</td>\n",
       "      <td>Macauley</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ID country                                        description  \\\n",
       "0   0      US  This tremendous 100% varietal wine hails from ...   \n",
       "1   1   Spain  Ripe aromas of fig, blackberry and cassis are ...   \n",
       "2   2      US  Mac Watson honors the memory of a wine once ma...   \n",
       "\n",
       "                            designation  points  price        province  \\\n",
       "0                     Martha's Vineyard      96  235.0      California   \n",
       "1  Carodorum Selección Especial Reserva      96  110.0  Northern Spain   \n",
       "2         Special Selected Late Harvest      96   90.0      California   \n",
       "\n",
       "         region_1 region_2             variety                   winery  \n",
       "0     Napa Valley     Napa  Cabernet Sauvignon                    Heitz  \n",
       "1            Toro      NaN       Tinta de Toro  Bodega Carmen Rodríguez  \n",
       "2  Knights Valley   Sonoma     Sauvignon Blanc                 Macauley  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 150930 entries, 0 to 150929\n",
      "Data columns (total 11 columns):\n",
      " #   Column       Non-Null Count   Dtype  \n",
      "---  ------       --------------   -----  \n",
      " 0   ID           150930 non-null  int64  \n",
      " 1   country      150925 non-null  object \n",
      " 2   description  150930 non-null  object \n",
      " 3   designation  105195 non-null  object \n",
      " 4   points       150930 non-null  int64  \n",
      " 5   price        137235 non-null  float64\n",
      " 6   province     150925 non-null  object \n",
      " 7   region_1     125870 non-null  object \n",
      " 8   region_2     60953 non-null   object \n",
      " 9   variety      150930 non-null  object \n",
      " 10  winery       150930 non-null  object \n",
      "dtypes: float64(1), int64(2), object(8)\n",
      "memory usage: 12.7+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Describe numerical values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <td>150930.0</td>\n",
       "      <td>75464.500000</td>\n",
       "      <td>43569.882402</td>\n",
       "      <td>0.0</td>\n",
       "      <td>37732.25</td>\n",
       "      <td>75464.5</td>\n",
       "      <td>113196.75</td>\n",
       "      <td>150929.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>points</th>\n",
       "      <td>150930.0</td>\n",
       "      <td>87.888418</td>\n",
       "      <td>3.222392</td>\n",
       "      <td>80.0</td>\n",
       "      <td>86.00</td>\n",
       "      <td>88.0</td>\n",
       "      <td>90.00</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>price</th>\n",
       "      <td>137235.0</td>\n",
       "      <td>33.131482</td>\n",
       "      <td>36.322536</td>\n",
       "      <td>4.0</td>\n",
       "      <td>16.00</td>\n",
       "      <td>24.0</td>\n",
       "      <td>40.00</td>\n",
       "      <td>2300.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               count          mean           std   min       25%      50%  \\\n",
       "Unnamed: 0  150930.0  75464.500000  43569.882402   0.0  37732.25  75464.5   \n",
       "points      150930.0     87.888418      3.222392  80.0     86.00     88.0   \n",
       "price       137235.0     33.131482     36.322536   4.0     16.00     24.0   \n",
       "\n",
       "                  75%       max  \n",
       "Unnamed: 0  113196.75  150929.0  \n",
       "points          90.00     100.0  \n",
       "price           40.00    2300.0  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe().transpose()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Check witch columns has null-values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unnamed: 0         0\n",
       "country            5\n",
       "description        0\n",
       "designation    45735\n",
       "points             0\n",
       "price          13695\n",
       "province           5\n",
       "region_1       25060\n",
       "region_2       89977\n",
       "variety            0\n",
       "winery             0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plot the counts of grape varieties vs country\n",
    "Plot the counts the occurrences of the counts of different grape varieties for each country of the first 14th countries.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/moebius/.local/lib/python3.8/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.05, 'Different grape varieties for each county (first 10th)')"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure( figsize=(20,10))\n",
    "ax = sns.countplot(df.country, order = df.country.value_counts().index[:10] )     \n",
    "plt.xticks(rotation=45)\n",
    "plt.title(\" Grapes count \", fontsize=20)\n",
    "plt.suptitle('Different grape varieties for each county (first 10th)', y=1.05, fontsize=18)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create a new dataframe called df2 with just the first 14 countries\n",
    "in the order of the counts of different grape varieties."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['US', 'Spain', 'France', 'Italy', 'New Zealand', 'Argentina',\n",
       "       'Australia', 'Portugal', 'Chile', 'Austria'], dtype=object)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "order = df['country'].value_counts().index  # extract the index\n",
    "order = order[:10]                          # take the first 14 values\n",
    "df2 = df[df.country.isin(order)]            # create new dataframe\n",
    "df2.country.unique()                        # print out all different countries in the new dataset "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Calculate the score point distribution among all the first 10th countries  who has the most records."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Score points distribution among all countries ')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.histplot(df2.points, bins = 20 , color ='red')\n",
    "plt.title(\"Score points distribution for the quality grapes for the first 10th countries\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Calculate the mean price for each of the most important countries and print out it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "gr_df = df2.groupby(\"country\").points.mean()\n",
    "gr_df2 = df2.groupby(\"country\").points.mean() - min(gr_df2)#- df2.points.mean() # The normalization: ( x - mean )\n",
    "gr_df2 = gr_df2.sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/moebius/.local/lib/python3.8/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0.98, 'This graph shows the wine producers with the highest grape qualities on average.')"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure( figsize=(10,10) )\n",
    "sns.set_palette(\"muted\")\n",
    "sns.barplot(gr_df2.index, gr_df2.values)\n",
    "plt.xticks(rotation=45)\n",
    "plt.title(' Grapes scores averages for each country. ',fontsize=12)\n",
    "plt.suptitle('This graph shows the wine producers with the highest grape qualities on average.', fontsize=15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Italy Wine Review Price Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Number of unique varieties in Italy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The number of unique varieties of grapes in Italy is:  177\n"
     ]
    }
   ],
   "source": [
    "df_ita = df[df['country']=='Italy'] # select the dataframe\n",
    "print(\"The number of unique varieties of grapes in Italy is: \",df_ita['variety'].nunique() )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Drop all raw with nan value on price column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</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>variety</th>\n",
       "      <th>winery</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Elegance, complexity and structure come togeth...</td>\n",
       "      <td>Ronco della Chiesa</td>\n",
       "      <td>95</td>\n",
       "      <td>80.0</td>\n",
       "      <td>Northeastern Italy</td>\n",
       "      <td>Collio</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Friulano</td>\n",
       "      <td>Borgo del Tiglio</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Unnamed: 0 country                                        description  \\\n",
       "10          10   Italy  Elegance, complexity and structure come togeth...   \n",
       "\n",
       "           designation  points  price            province region_1 region_2  \\\n",
       "10  Ronco della Chiesa      95   80.0  Northeastern Italy   Collio      NaN   \n",
       "\n",
       "     variety            winery  \n",
       "10  Friulano  Borgo del Tiglio  "
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ita.dropna(subset=['price'],inplace=False).head(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Mean price in euro for italian wine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " mean price of an Italian wine:  37.55  euro \n"
     ]
    }
   ],
   "source": [
    "print(\" mean price of an Italian wine: \", round(df_ita.price.mean(),2) , \" euro \")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Counts the occurrences records for each italian region.\n",
    "The first row should be: Tuscany  7086"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Tuscany               7086\n",
       "Piedmont              3981\n",
       "Veneto                3897\n",
       "Sicily & Sardinia     2162\n",
       "Northeastern Italy    1605\n",
       "Southern Italy        1257\n",
       "Central Italy         1215\n",
       "Lombardy               556\n",
       "Italy Other             43\n",
       "Northwestern Italy       7\n",
       "Name: province, dtype: int64"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "var=df_ita.groupby('variety')\n",
    "varind=var.count().sort_values(by='price',ascending=False).head(40).index\n",
    "province_of_italy = df_ita[df_ita.variety.isin(varind)]\n",
    "province_of_italy.province.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Feature engineering\n",
    "Create a new dataframe in witch I divide each wine\n",
    "in 4 different price range: low, middle, high, luxury.\n",
    "\n",
    "The range are taken without any prior consideration.\n",
    "\n",
    "- low     <= 20\n",
    "- middle  > 20   and  < 35\n",
    "- high    > 35   and  < 50\n",
    "- luxury  > 50"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Group by variety and select points and price columns "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-81-aebbc44df43f>:1: FutureWarning: Indexing with multiple keys (implicitly converted to a tuple of keys) will be deprecated, use a list instead.\n",
      "  df_ita = df_ita.groupby('variety')['points','price'].mean()\n"
     ]
    }
   ],
   "source": [
    "df_ita = df_ita.groupby('variety')['points','price'].mean() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_ita.loc[df_ita['price'] <=20 , 'cost'] = 'low'\n",
    "df_ita.loc[(df_ita['price'] >20)&(df_ita['price'] <= 35) , 'cost'] = 'middle'\n",
    "df_ita.loc[(df_ita['price'] >35)&(df_ita['price'] <= 50) , 'cost'] = 'high'\n",
    "df_ita.loc[df_ita['price'] >50 , 'cost'] = 'luxury'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Counts grape varieties"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "middle    75\n",
       "low       57\n",
       "high      29\n",
       "luxury    14\n",
       "Name: cost, dtype: int64"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ita.cost.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>points</th>\n",
       "      <th>price</th>\n",
       "      <th>cost</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>variety</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Sirica</th>\n",
       "      <td>93.000000</td>\n",
       "      <td>36.500000</td>\n",
       "      <td>high</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Roviello</th>\n",
       "      <td>92.500000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>middle</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cabernet Franc</th>\n",
       "      <td>92.016393</td>\n",
       "      <td>84.745098</td>\n",
       "      <td>luxury</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   points      price    cost\n",
       "variety                                     \n",
       "Sirica          93.000000  36.500000    high\n",
       "Roviello        92.500000  28.000000  middle\n",
       "Cabernet Franc  92.016393  84.745098  luxury"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ita.sort_values(by='points',ascending=False, inplace=True) # sort values by points\n",
    "df_ita.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [],
   "source": [
    "def normalization(df):\n",
    "    \"\"\" \n",
    "    generate a new score from points / price \n",
    "    and after, normalize all in a range score of [0,100]\n",
    "    \"\"\"\n",
    "    new_df = pd.DataFrame()\n",
    "    new_df['rateo'] = df['points'] / df['price']\n",
    "    new_df['cost'] = df['cost']\n",
    "    MAX = new_df['rateo'].max()\n",
    "    new_df['score'] = (( new_df['rateo'] ) / MAX ) * 100\n",
    "    new_df.sort_values( by='score' , ascending=False , inplace=True)\n",
    "    new_df['price']=df['price']\n",
    "    return new_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Show the score of quality points / prices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [],
   "source": [
    "plot_df_ita = normalization(df_ita)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Low price grapes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rateo</th>\n",
       "      <th>cost</th>\n",
       "      <th>score</th>\n",
       "      <th>price</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>variety</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Pigato</th>\n",
       "      <td>10.5</td>\n",
       "      <td>low</td>\n",
       "      <td>100.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         rateo cost  score  price\n",
       "variety                          \n",
       "Pigato    10.5  low  100.0    8.0"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_ita_low = plot_df_ita.copy()\n",
    "myfilter = plot_df_ita['cost']=='low'\n",
    "plot_ita_low.where(myfilter,inplace=True)\n",
    "plot_ita_low.dropna(subset=['cost'],inplace=True)\n",
    "plot_ita_low.head(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Middle price grapes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rateo</th>\n",
       "      <th>cost</th>\n",
       "      <th>score</th>\n",
       "      <th>price</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>variety</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Falanghina</th>\n",
       "      <td>4.314581</td>\n",
       "      <td>middle</td>\n",
       "      <td>41.091245</td>\n",
       "      <td>20.083333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               rateo    cost      score      price\n",
       "variety                                           \n",
       "Falanghina  4.314581  middle  41.091245  20.083333"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_ita_middle = plot_df_ita.copy()\n",
    "myfilter = plot_df_ita['cost']=='middle'\n",
    "plot_ita_middle.where(myfilter,inplace=True)\n",
    "plot_ita_middle.dropna(subset=['cost'],inplace=True)\n",
    "plot_ita_middle.head(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### High price grapes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rateo</th>\n",
       "      <th>cost</th>\n",
       "      <th>score</th>\n",
       "      <th>price</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>variety</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Sirica</th>\n",
       "      <td>2.547945</td>\n",
       "      <td>high</td>\n",
       "      <td>24.266145</td>\n",
       "      <td>36.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            rateo  cost      score  price\n",
       "variety                                  \n",
       "Sirica   2.547945  high  24.266145   36.5"
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_ita_high = plot_df_ita.copy()\n",
    "myfilter = plot_df_ita['cost']=='high'\n",
    "plot_ita_high.where(myfilter,inplace=True)\n",
    "plot_ita_high.dropna(subset=['cost'],inplace=True)\n",
    "plot_ita_high.head(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Luxury price grapes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rateo</th>\n",
       "      <th>cost</th>\n",
       "      <th>score</th>\n",
       "      <th>price</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>variety</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Trebbiano-Malvasia</th>\n",
       "      <td>1.748792</td>\n",
       "      <td>luxury</td>\n",
       "      <td>16.655164</td>\n",
       "      <td>51.75</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       rateo    cost      score  price\n",
       "variety                                               \n",
       "Trebbiano-Malvasia  1.748792  luxury  16.655164  51.75"
      ]
     },
     "execution_count": 227,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_ita_luxury = plot_df_ita.copy()\n",
    "myfilter = plot_df_ita['cost']=='luxury'\n",
    "plot_ita_luxury.where(myfilter,inplace=True)\n",
    "plot_ita_luxury.dropna(subset=['cost'],inplace=True)\n",
    "plot_ita_luxury.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 328,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_grapes(df, plot_first=10,color_style=\"dark\"):\n",
    "    # Pre process\n",
    "    df=df.sort_values(by=['score'], ascending=False)\n",
    "    newdf = df.iloc[:plot_first]\n",
    "    newdf.score = newdf.score - min(newdf.score)\n",
    "    \n",
    "    # Set style\n",
    "    plt.figure( figsize=(12,8) )\n",
    "    sns.set(style=color_style, context=\"talk\")\n",
    "    lables_ = [str(i) for i in list(df.score)]\n",
    "    sns.set_palette(\"husl\")\n",
    "    \n",
    "    # Plot\n",
    "    ax=sns.barplot(newdf.index, newdf.score, hue = newdf.cost, palette=\"rocket\")\n",
    "\n",
    "    ax.set(title='Distribution of Passengers;)# label each bar in histogram')\n",
    "    for p in ax.patches:\n",
    "        height = p.get_height() # get the height of each bar\n",
    "         # adding text to each bar\n",
    "        ax.text(x = p.get_x()+(p.get_width()/2), # x-coordinate position of data label, padded to be in the middle of the bar\n",
    "        y = height+0.2, # y-coordinate position of data label, padded 0.2 above bar\n",
    "        s = '{:.0f}'.format(height), # data label, formatted to ignore decimals\n",
    "        ha = 'center') # sets horizontal alignment (ha) to center\n",
    "            \n",
    "    plt.xticks( rotation = 75 )\n",
    "    plt.title('Best wine grapes founded based on the quality points and their price from the highest score to the lowest')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 329,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/moebius/.local/lib/python3.8/site-packages/pandas/core/generic.py:5494: 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: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  self[name] = value\n",
      "/home/moebius/.local/lib/python3.8/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA1QAAAK/CAYAAABulYyoAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAAD6KklEQVR4nOzddVgV6dsH8C/doYiJhEEIIiiCqICr2LF2IcbaYrt2r7r+dNU111gLu3VdC8VObAUV7FZQASnJM+8fvmfWQwlHdIjv57q8dpmZM+eeOTPPzD1PjIogCAKIiIiIiIgo11SlDoCIiIiIiKigYkJFRERERESkJCZURERERERESmJCRUREREREpCQmVEREREREREpiQkVERERERKSkryZU48aNg42NjcI/BwcH1K9fHzNmzMDHjx+/a4DJyckIDw/P8/Xu2bMHNjY2CAoKyvN1038+fvyIgQMHwsnJCTVr1sTdu3elDknBy5cvYWNjgyVLlvyw9eX1d/4oNjY2GDdunNRhAABevHih8Hf9+vXh6+srUTTfV/pt8/X1Rf369RWWiYuLQ2Rk5I8O7auWLFkCGxsbvHz5MteflclkSn1OKkFBQbCxscGePXu+uuyXx+/3KA+kPFd/9LkoCAL++OMPuLm5wcnJCZs3b/5h350bUpRZOf2OzMqUnJDfH/5oBa1s+Fbpj528Xt+PKC/y0/1Dbn348AEJCQlfXU49pyscP348ihUrBgBISkrCw4cPsX37dgQHB2Pr1q1QU1NTPtosvHr1Cr/88gv69++Ptm3b5um6a9asiblz56JixYp5ul5StGLFCpw4cQI9e/ZEhQoVYGlpKXVIVMDt3r0b06dPx+3bt6UORRIDBgzAp0+fxL9DQkIwcOBAzJs3D25ubhJGllHDhg1hbm6O4sWL5+pzcXFx6NmzJ7y8vDBkyJDvFJ00pkyZgidPnmDjxo3f7Tvmzp0Lc3Pz77b+7EyYMAE6Ojo/7PtOnTqF1atXo169evD29kaNGjV+2HfnVH4vs9KXKflZYS4bMpPX5cVff/2FvXv34tixY3myvsLu9OnT+PXXX7F3717o6upmu2yOEypvb2+YmZkpTLO0tMT06dNx5swZ/PTTT8pFm42XL1/i6dOneb5eAChfvjzKly//XdZN/wkLC4OxsTHGjx8vdShUSFy5cgVJSUlShyGZOnXqKPx9//59RERESBRN9mxtbWFra5vrz0VHRyM4OBheXl7fISppnTt3DuXKlfuu3/Hzzz9/1/Vnx9vb+4d+X1hYGABg5MiRktSW5ER+L7PSlyn5WWEuGzKT1+XFxYsXkZaWlmfrK+xu376NmJiYHC37TX2o5E9DHzx48C2roUIsJSUFenp6UodBRESFUEpKCgDwOkNEkvqmhOrt27cAkKFpwcOHD+Hn5wcXFxdUq1YNnTt3xtmzZxWWSU5OxqxZs9CgQQM4ODjAy8sL06dPF/tk7dmzB927dwfwublhVk+e/P39YWNjg3v37onTYmNjUaVKFbRs2VJh2fXr18PW1hbv3r3L0IdK/ndoaChGjRqFmjVrwtnZGYMGDcrQVjcpKQl//vkn6tevDwcHBzRo0ACLFi1CcnLyV/dZXFwcpk+fjrp168LJyQkDBgzA1atXFdrey9vi7927Fy1btkTVqlXFGp53795h+vTp4n6rUaMGunfvjmvXronfIf/86dOnMW7cOFSvXh21atXC+PHjM/SzkMlkWLt2LZo0aQIHBwd4eHhg5syZiIuLU1ju8uXL8PHxgYuLC5ydndG5c2ecOHEiy+2U9wu4fPkyXr16laH97M6dO/Hzzz+jatWqqFWrFkaNGqWwn7PqV5B+uvzvffv24c8//4SnpyeqVq2KDh064NKlSwqfTU1NxdKlS1G/fn1Uq1YN3bt3x6NHjzKNf8+ePWjdurUY37hx4zLUAuRmfZlJSUnB7Nmz4ebmJh5r6Wtk4+LiMH/+fDRp0gRVq1aFs7MzOnbsiOPHjyssFxYWht69e6NWrVpwdHREmzZtsGvXrgzfefLkSXTu3BnVqlVDzZo1MWTIEDx58iTDcps3b0bjxo3h6OiI9u3b4/r16znersDAQHTu3BmOjo5wcXHBgAEDEBoaqrCMjY0NVq1ahXXr1sHb2xsODg5o2bIlDh8+nO26fX19sXfvXnEd6dtk79+/H82bN4eDgwMaN26MrVu3ZljHjRs30KtXLzg7O8PZ2Rm//PJLjpviHD58GK1bt4ajoyNatGiBkydPonfv3gr9FLLqt5B+uiAI2Lp1K9q3bw9nZ2dUrVoVTZo0wapVqyAIQrb7QN7fYcmSJWLZ0L17d9SvXx9nz56FjY1Npn1JRowYgbp162b5hHLcuHFo2LAhbty4gbZt28LR0RFNmjTJdD++evUKo0ePRq1atVC1alW0atUKO3bsUFgmfR+qJUuWoGrVqnj69Cn69+8PZ2dn1KxZE2PHjkVUVBSAz+VXgwYNAABLly5V+HxAQADatWsHZ2dn1KhRA7169VIo+7KSm3Lz/PnzmD59Otzd3VGtWjX06NEjw/GbkJCAWbNmieW4n59fjmoJbWxs8OrVK1y+fDlDf6vU1FSxDHN0dETHjh1x+fLlDOvISdmU/tywsbHBwoULMWDAADg4OKB58+ZITU3NMsa//voLK1euRN26dcVz5MtrbHbrzOz4v3XrFvr27QsXFxe4ubmhX79+Ys2SnDLnZf369bF06VIAQIMGDcTzon79+pg0aRImTJgAR0dHeHp6ite+q1evomfPnuL3dO/eHVeuXMmw3t9++w07d+4Uy8F27drh9u3bePfuHYYNGwZnZ2d4eHhgwYIFkMlkWcYodZmVk+/IrA/VrVu30L17d3E7lyxZIp6P6QUHB8PX1xeOjo6oU6cOfv/99ww1cm/fvsWYMWPE8qJ169bYv3+/wjKCIGDp0qVo3Lgxqlatitq1a2P06NF48+YNgOzLhszkpLwQBAEbNmxAixYt4OjoiPr162PevHkKTSDT0tKwevVqNG7cGA4ODqhbty6mTp2qcD+V3X1bTu+z0suuvPjaPVRm6tevr3BPlv7+av369fD29kbVqlXRsmVLBAQEZFhHTu8hciK7ewWZTAY3NzcMGjRI4TNz5syBjY0Njh49Kk6TLztt2rRcxfn69WsMGTIEdevWRdWqVdGsWTP8/fff4vk8btw4hfLla/0Rc9zkLyYmRjx4UlJS8OjRI8ycORP29vYKJ2JYWBi6du2KEiVKoH///tDQ0MCBAwfQr18/zJ8/H82aNQMA/Pbbbzhw4AC6d++O8uXL48GDB9i8eTOePXuGtWvXombNmhgwYABWrFiBTp06Zdku2tPTE7///jsuXboEOzs7AJ+r19PS0vDgwQN8/PgRRkZGAD5Xndrb28PU1DTL7Rw4cCAqVqyIESNG4MWLF/D390dERIR4c5qWlob+/fvj+vXr6NixIypWrIiQkBCsWLEC9+7dw/Lly6GiopLputPS0tCnTx8EBwejS5cusLCwwMGDB+Hn55fp8r/99hvatm2LDh06oGzZskhMTISPjw9iY2Ph4+ODUqVK4enTp9i6dSv69OmDwMBAmJiYiJ+fNm0adHV1MXToULx58wabNm1CSEgIdu/eDU1NTQDAxIkT8c8//6B169bo2bMnHj16hK1bt+L69evYunUrtLS08PjxY/Tv3x92dnYYMWIEAGDHjh0YNGgQNm3aBBcXlwyxFy9eHHPnzsWKFSsQFRWF8ePHi4n3nDlzsHbtWri7u2PMmDGIiIjApk2bcOHCBezcuTND09KcWLRoEXR0dPDLL78gJSUFa9euRf/+/XHq1Cmx79+kSZOwd+9etGjRAtWrV8fZs2cxfPjwDOtaunQplixZgsaNG6Njx44IDw/Hpk2bcPnyZezatUvsD5LT9WVl48aNKFasGPr27YuEhASsX78eXbt2xf79+1GiRAkIgoD+/fvj7t276NatG8zNzfH27Vts27YNgwcPxr59+2BjY4PIyEj07t0bxYoVw8CBA6GlpYWDBw9i4sSJ0NLSEh8s7NmzBxMmTIC7uztGjx6Njx8/YuvWrejYsSN27NgBKysrABAvnB4eHujevTtu376N3r1752ibNm/ejN9++w0ODg4YOXIk4uLisGXLFnTp0gX+/v5wdHQUl926dStkMhl8fHygra0Nf39/jBgxAhUrVoS1tXWm6x8wYABkMhmuXr2aoZ9IcHAw7t+/j27duqF48eLYtm0bpk2bBlNTU7EZ0vnz59G/f3/Y2tpi2LBhSE5Oxp49e+Dj44N169ZleizL7du3D2PHjkXVqlUxevRoPH78GEOHDkXx4sWV6q+ycOFCrFixAm3atEHHjh0RHx+Pffv2Yf78+dDT04OPj89X19GwYUO8e/cO27dvx4ABA8SbEBMTExw5ckRhHQkJCTh58iTat2+fbZ/X6Oho9OnTB15eXmjbti2OHj2KadOmISYmBv379wfwuVNzx44dkZSUhG7dusHU1BRHjx7F5MmT8fTpU4wZMybL9ctkMnTv3h0uLi4YO3YsgoODsWvXLiQmJmLRokWoWLEixo8fj9mzZ6Nhw4Zo2LAhihcvjsuXL2PEiBHw9PREhw4d8OnTJ2zatAm9evXCwYMHs2zCndtyc9KkSShZsiQGDRqEjx8/YvXq1ejbty9OnjwJdXV1CIKAAQMG4MqVK+jYsSMqV66MI0eOYMqUKV/9vebOnYvZs2ejWLFiGDBgAKpXry7O8/f3R9myZdG7d28kJiZizZo16NevHwICAlCqVCkAOS+bMuPv74/q1atj0qRJSExMhLp61pf/nTt3Ii4uDj169ICGhgb8/f3h4+ODXbt2oUKFCrlapzyBKVmyJPr06QNtbW1s2LAB3bt3x+7du2FmZqb0eTlhwgTs27cPx44dw/jx4xWuHQcPHkSFChUwYcIEvH//HsWLF8fx48cxePBgmJubY+DAgeK29uzZE4sXLxZv1oHPN3tHjx5Fjx49IAgCli9fjiFDhsDAwACVK1fGuHHjcPToUaxcuRJWVlZo06ZNpjFKWWbl9DvSCwkJQffu3VGiRAn4+fnh06dP2LBhA1RVM38G36NHD7Rq1QrNmzfHqVOn4O/vD0EQMHHiRABAeHg4OnToAEEQ4OvrCyMjIxw/fhyjR49GREQE+vTpA+Bzn+tly5bBx8dHTJY2bNiAkJAQHDhwIMuyITM5LS+mT5+OrVu34qeffkKXLl3w5MkTrF27Fk+fPhVvpkeMGIGAgAA0atQI3bt3x5MnT7B161ZcunQJO3fuhKGhofi96e/bgJzdZ2Umq/JC2XuoCRMmYP78+eI92ZfJ8ZEjR3Dx4kX4+PhAU1MT69evx/Dhw7Fr1y7Y29sDyPk9RE7k5F6hbt26OHPmDGQymXjsyStBrl69ikaNGgH4fIxHR0ejXr16OY4zJSUFffr0QWJiInr27AlDQ0OcPn0a8+bNQ1paGgYMGIBOnTohLi5OLF8qV66c/UYJXzF27FjB2to603+Ojo7CzZs3FZbv1q2b4O3tLcTHx4vTUlJShK5duwq1a9cWkpKSBEEQBEdHR2H69OkKn/3zzz+Ftm3bCnFxcYIgCMKlS5cEa2trYffu3dnG2KBBA6Ffv37i37///rvg4eEhWFtbC8ePHxcEQRASExMFR0dHYfHixYIgCMLu3bsFa2tr4dKlSwp/Dx48WGHdU6ZMEaytrYUnT54oLHfmzBmF5bZt2yZYW1sLx44dyzLOvXv3CtbW1sKOHTvEacnJyUL79u0VtlO+3b1791b4/MGDBzP97q1btwrW1tZCQECAwue9vLyE2NhYcbkdO3YI1tbWwtatWxWWk/8td/bsWcHa2lpYv369IAiCsGrVKsHa2lr48OGDuExkZKTQqFEjYcOGDVluryB8Ph5++ukn8e8HDx4INjY2gp+fnyCTycTpN2/eFGxsbIShQ4cKgiAIL168EKytrcXfSy79dPnfXl5eCsecfF9t375dEARBCA0NFaytrYWZM2cqrE9+fMvX9/z5c8HW1laYN2+ewnJhYWGCvb29MGvWrFytLzPymKtXry5ERESI04OCggRra2th9uzZ4j7J7Pc5c+aMYG1tLaxdu1ZhW2/fvi0uk5SUJLRp00bcjtjYWKF69erCiBEjFNYVEREh1KxZUxg0aJAgCILw4cMHwcHBQRg0aJDC77N48WLB2tpaGDt2bJbbFRkZKVSrVk1o3769eJ7Lt7datWpCu3btxGnW1taCk5OTwvbLt3fBggVZfocg/LePv/TTTz8JNjY2QkhIiDjt5cuXgo2NjTB69GhBEAQhLS1NaNCggdC5c2chNTVVXC4+Pl5o2LCh8PPPP2f5nampqYK7u7vQpEkThW3bsGGDYG1tLXTr1k0hli//zmx6cnJypr9HbGys4ODgIPTv3z/L9aU/p9KXZYIgCDNmzBBsbW0V9u+///4rWFtbZyizvyTft18e16mpqYKPj4/g6OgoREdHC4IgCMOHDxdsbW0V9ndaWprQv39/wcbGRrh//74gCP8dNy9evFD4W36My/Xu3VuoUqWKkJCQIAhC5uf/1KlTBWdnZ4XjMjQ0VGjUqJFw+PDhLLcpt+Vmu3btFI6PlStXCtbW1sK5c+cEQRCEEydOCNbW1sK6devEZVJSUoQePXrk6HqV/veUb6uHh4dCeS2/XuzcuVMQhJyXTYIgZDhXra2tBRcXF+HTp0/ZxiZfNv1v+/DhQ6FKlSoKx2tW60y/fe3btxfq1KkjREZGitMeP34s2NraCnPmzPmm81IQMh5j8hhsbW2Ft2/fitNSUlIET0/PDNfFjx8/Ch4eHoKHh4eQnJwsft7GxkYIDQ0Vl5szZ45gbW0tDB8+XCFGe3t7YeTIkdnGKEWZldPvEISMZUr37t2FmjVrKlzz79y5I9ja2ipsh3y7vjwX0tLShIYNGwpeXl4Ky7m6ugrh4eHiNJlMJowcOVJwcHAQ3r9/LwiCIDRt2lThXk4QPp+nrVq1Ep49eyYIQtb3BunlpLyQ349MmjRJ4bMLFiwQrK2thQcPHginT5/O9Fp/6NAhwdraWpgzZ44gCFnft+X0Pisr6c+nnN5DZSX9by0I/12P37x5I067fPmyYG1tLSxcuFAQhJzfQ2TlyzIpp/cK8jJQfm/z8eNHwdbWVvDw8BDatGkjfm7JkiWCo6Oj8OnTpxzHeevWLcHa2lrh2iGTyYRffvlFGDNmjDgts/IlKzlu8vfHH39g3bp1WLduHVatWoWpU6fCzMwMPj4+uHDhAgAgKioKly9fhpeXFxITExEZGYnIyEjExMSgYcOGeP/+PYKDgwEApUuXxqFDh7Bnzx6xw9fw4cOxe/fuXLeF9vT0xNWrV8VmLEFBQWjVqhWKFSuGq1evAvhca5WYmPjVjoxNmzZV+Fte6/X+/XsAwNGjR1G8eHHY29uL2xcZGQkvLy+oqanh1KlTWa47MDAQRkZGCiMWamhooFevXpkuX7NmTYW/mzVrhosXL6Ju3britC+bGaYf1rFr167Q19cX/27Tpg2MjIzEpnpHjx6FiooKvLy8FLalSpUqMDU1FbeldOnSAIAZM2YgJCQEAFCsWDEEBATketjXkydPQhAE9OvXT6Emr1q1aqhTpw5Onz6dZVOU7Hh5eSmMwCLvCP/u3TsAEJucdu7cWeFz8malcseOHYNMJkP9+vUV9kmJEiVgZ2cn7pOcri87P//8s0JtqaurK2xsbMTvqFatGq5cuaJwvKSlpYnV0fHx8QD++33mz58vngeamprYs2cPRo0aBeDzU864uDh4e3srbJeamhpq1aqFc+fOITU1FUFBQUhOTkbHjh0Vfp+c/M4XL17Ep0+f0KtXL7EGFADMzMzQqlUrBAcHKzRNqlGjhsL2y881+W+WW5aWluKTNAAoV64cihcvLp67d+/exYsXL+Dt7Y2PHz+K+yAxMRE//fQT7t27l+UrGoKDg/Hhwwd06tRJYds6deok1oDnhoaGBi5cuIDffvtNYXpUVBT09fVzNERrdlq0aAGZTKbQZEP+VLZatWpf/by8JgoA1NTU0L17dyQmJuLChQtIS0vDqVOnULduXYX9raqqigEDBkAQhGybAwOZl7OpqamIjo7O8jOlS5dGfHw8Zs6cKTattbGxQUBAAJo0aZLl53JbbjZq1EihBi/9cXnmzBmoqqqiQ4cO4jLq6uo5qlHMTr169RTK66pVqwL479qT07IpK46OjtDW1s5RLHXq1FH4bStWrAgPDw+cOnVKoXnb19b54cMH3L59Gy1bthRbCgCAlZUVdu/ejb59+37TeZkdc3NzsWYP+Hz+v337Fj4+Pgr72dDQEN26dUN4eLh4fZN//ssn+PKn7w0bNhSn6erqwsTEJF+WWTn9jvQ+fvyIy5cvo1WrVgq1P1WqVMly8IrmzZuL/6+qqooqVaqI65fJZAgMDISLiwvU1dXFbYiKikKjRo2QnJyM8+fPA/h8jgcFBcHf31/8fOfOnfHPP//kuhVATsqLU6dOibVmX+rduzf2798Pc3NzsSz7skwEPpdhVlZWGZrfp79vy+l9Vk59r3uo6tWri/cSQMbyJ6f3EDmR03sFDw8PqKioiN03Ll++DFVVVXTr1g2hoaFik8lz587Bzc0N2traOY6zZMmSUFFRwcqVK3H27FkkJydDRUUFa9aswZw5c3K9/4BcNPmrXr16hmrEpk2bolGjRpgxYwYOHz4sjm2/cePGLId4lLeFnTZtGoYPH47x48dj8uTJcHJyQsOGDdGuXTsYGBjkaiM8PT2xefNmBAcHw9LSEqGhoRgxYgQeP34sJlTnzp2DiYmJeJBk5ctCH4D4Y8uTtefPnyMyMhLu7u7Zbl9mnj17BjMzswzNbb5sQvGlzKqyVVRUsGrVKty4cQPPnz/H8+fPxU656dtxV6pUSeFvdXV1mJmZ4dWrV+K2CIIgVpOmJ09smzRpgmPHjuHQoUM4dOgQTE1N4eXlhTZt2ny1uUF68ja+mVUNV6xYEefOnRP7UuRG+n0l/93k+0S+zembBaXf98+fPweQMVGS09DQyNX6spPZsubm5jh9+rT4t7q6OrZt24bLly/j2bNneP78ORITEwFA7GdTvXp1dO/eHRs3bsTFixdhbGyMunXromXLluJvK98ueZPNzERGRorblf7iZWxsrNAsKjPy3zaz7ZK/nuD169coWbIkgK//ZrmVWXza2tri+SHfB3PnzsXcuXMzXcfr168VbsK+nA5k/L01NTWVHi1UQ0MDp06dwvHjx/HkyRM8e/ZM7EMqZNOHKiecnJxgbm6OI0eOoFu3boiNjcXZs2dz1HTT2NgYJUqUUJhmYWEB4PNxHxUVhYSEhCzPYfly2cnqt89u9Klu3brh3Llz2LRpEzZt2gQzMzP89NNPaN++/VdHEsxNuZmTssTExCTDg7/cnPuZSX/8ypsBpT9+v1Y2ZSU3Q9env3YAn2/MT548iejoaHFdX1un/DiQHz9fqlKlCoDPN1eAcudldtLvz+yuPfLf7vXr13B2ds708/LrdvptVlNTU/p8/Z5lVk6/I70XL15AJpNl+ptVqFAhQ3/4zL7jy/VHRUUhNjYWgYGBCAwMzPQ75fdNY8aMwcCBA/H7779j9uzZYpeSjh07ZttVIzM5KS/kx2f617kYGhqKzfhevnwJQ0PDDGUi8Lm8O3PmjMK09MdHTu+zciqn91C53V+Z/YZAxvLna/cQ8ut7dnJ6r+Dk5AR7e3tcunQJffv2RVBQEKpUqQIPDw/Mnz8f169fh5OTE27fvi02L81pnKVLl8bo0aOxYMEC9OnTB7q6unB3d0ezZs3QtGlTpV4FleOEKjPFihWDm5sbjh07ho8fP4oXQx8fnyzb5soLand3d5w8eVL8d/78ecyePRvr16/Hnj17clX416pVC1paWrh06RLevXsHVVVV1KhRA0+ePBE7F547dw6enp5Z9m+Sy6qNsFxaWhosLS0xderUTOd/2ZY2vaxGvPsyQ/9S+h/08ePH6NKlC1JSUlC3bl00a9YMdnZ2EAQh035YmV1g09LSxG2UyWTQ09MT2wmnJ7+ga2hoYPHixQgLC8OxY8dw5swZ7NmzB7t27cKoUaPQr1+/LLc5vewuPPIbFg0NjSyHmM3qZvtrv5v8d09KSlLY3+nXJ/97+fLl2T55zen6chLTlwRBEH/3yMhIdOjQAREREahTpw7q168PW1tblCtXTuHpOPC5jbavry8CAgJw5swZBAQE4MCBA+jUqRN+++03Ma4ZM2Zk2b7ayMhIYbvSUzbRkW8XoHhMfu03y62vrU8e/7Bhw+Dk5JTpMl+7Kc7s+M2q/Xt6XyYLgiBg0KBBOHnyJGrUqAFnZ2d06tQJNWvWRI8ePXK0vq9p3rw5Vq5ciYiICJw7dw4pKSlo0aLFVz+XWbkh33dfu3mUL5dVmSb3tXI4M/r6+ti0aRNu3ryJwMBAnDlzBhs3bsTmzZsxd+7cDIMQyeW23MxJWZLX50dOvjenZVNWcnODkNW1A1CM82vrlMec3e+dF+dlZtLHlt1xm1n5lFUfM2WO3az8iDIrt+WsvJYhs3M4q7Iuu++QHzeNGzfO8mGA/KGUra0tAgICcPbsWZw8eRJnz57F4sWLsW7dOmzfvj1X7w3NSXmRk+HDv1bepT9X0h93Ob3Pyqmc3kPlVk6Pxa/dQ3yr9Oeil5cX1q1bh5SUFAQFBaFu3bqwsbGBoaEhrl27hoSEBKSlpYmtz3ITZ+/evdGiRQscO3YMp0+fxvnz53H8+HHs27cPq1evznXs35RQAf8Fr6qqKo6Vr6amhtq1ayss9/DhQ7x8+RI6OjpITk7GvXv3ULp0aTRv3hzNmzeHTCbDunXrMHfuXBw8eDBXTcm0tbVRs2ZNXLp0CZGRkbCzs4O+vj5q1qyJlJQUBAQE4MGDB1kO/pAbZmZmCAkJQa1atRQOwJSUFBw7dkyhyjS98uXLIzg4GIIgKBTKz549y9F3//3334iJicHhw4cVnqj8+++/mS4vz9S/jPHVq1di7Vq5cuVw7tw5ODg4ZEgEjxw5ItZSvH79Gq9fv4aLiwtsbGwwePBgvH37Fj169BA7TueU/AB//PhxhqZHT548ga6uLoyMjMQRdtKPnKhs0wp5gf306VOFWsr0bwyXH8NlypQRm/rInT59WmwqktP1ZSezEXmePn0qrnvLli14+fIl1q9fr1Ajmn7Evffv3+PBgwdwd3dH37590bdvX0RFRcHPzw87duzA6NGjxe0qXrx4hnMzKCgIMplMobbl6dOnCk/94+LivlpzKP+Ox48fZ6gxePz4MQBke358b/L4dHV1M+yD27dv4+PHj1neqMrPt8zei/fixQuF81FVVTXDcZuamoqoqCjxnLp69SpOnjyJQYMGYdiwYQrLRUdH58k78lq2bInly5fj1KlTOH36NGxsbL7eqRafj6f4+HiFhz/y7bawsEDx4sWhq6sr/qZfko+i9D1+5ydPniA2NhZOTk5wcnLCr7/+iocPH4qd87NKqHJbbn5N+fLlcerUKURGRio8+MvNua+MnJZNeSH9tQP4fJ0yNjaGsbFxjtdTpkyZLNf3xx9/wMjISGwipcx5mRtflk/pfc/j9lt8S5mlrC+vAenl9F7lS8WLF4eOjg5SU1MzbMPr169x9+5d6OjoIC0tDaGhodDX10eDBg3EAUIOHTqEESNGYOfOnRlGSMxOTsoL+aARL168UEjWwsPDMXv2bHTr1k28T3r//n2GWqonT56Ix3hWcnqflVM5vYfKazm9h8jNunJyr+Dp6Ylly5bh7NmzuH//PkaOHClWmly5cgUfPnxApUqVxP2S0zijo6MRGhqK6tWro1u3bujWrRsSEhIwbtw4BAQEICwsLNfvtfumR8Tv378XR9czMDBAyZIl4eDggL179yq0601JScGECRMwdOhQ8caiU6dOWLly5X+BqKqKN6byREWe6efkyZ+npyeuX7+OixcvwtXVFQDEuJYuXQp1dXWFNvTKql+/PqKjozMMO7pt2zaMGDFCbL6QmYYNGyIqKkphaGiZTIZt27bl6Lujo6Oho6MjFgLA54RD/vn0T1u2b9+uUK2/c+dOxMbGiiOjyEdnXL58ucLnTpw4gWHDhok3HCtWrEDPnj0VftPSpUujZMmSuX76JX8B9N9//63wpOXOnTu4cOECvLy8oKKiAmNjY6irq2cYqvdrw2pnpUGDBlBTU8O6desUpqcfWloe38qVKxXiu3fvHgYOHAh/f/9crS87hw8fVhg29fTp03j48KFYuyvvT/Jl8xtBELBp0yYA/z1J3LNnD3r27Cn2TwQ+1x5bWFhARUUFqqqqqF27NrS0tLB69WqFYyI8PByDBg3CvHnzoKKigtq1a0NXVxf+/v4K7aFzsl3y71i3bp1CQvH27Vv8+++/cHR0/GqzwZz4soY1NxwcHGBqaoqNGzeK/c+Az8mivPlxVk/cbW1tYW5ujm3btin0uTly5EiGIatLlCiBJ0+eiE0zgc/n1Je1Gpn9tsDn0TM/ffqUqzbwWe2PihUrokqVKggMDMTFixdzVDsFfD7Gvvy9U1NT4e/vDwMDA7i7u0NNTQ0eHh44f/487ty5o/C5v//+GyoqKlk2b8mpzMr+mTNnYtCgQQq/XYUKFWBoaJhtOZTbcvNr5H1o1q5dK04TBAFbtmzJ0edVVVWVqs3KadmUF06cOKHQbPP+/fs4d+6ceO3IqVKlSsHW1hYHDx5UKOtevHiBDRs24P379990XuaGfITfrVu3KsQiH13M1NQUDg4O3/w9mZGizFKWiYkJnJ2dceDAAbEJMvD5N0vfvC0n1NXV4enpidOnT2d4/cD//vc/+Pn5ISoqCmlpaejevTt+//13hWXkSUNu7wtzUl7IazXS38/t2bMHhw8fhr6+vnif9OX9KvC5T/yTJ0++Wtbl9D4rK+nLi5zeQ+V0fTmV03uI3KwrJ/cKjo6OMDY2xl9//QUVFRVxxG83Nzfcvn0bZ86cURgbIadxnj9/Hj169FDo76urqyuOMCw/zuTHSk6a9ea4hiowMFDsXyQIAt6+fSte/L9sqzhp0iT06NED7dq1Q5cuXWBsbIyDBw/i1q1bGDVqlLiOli1bYsuWLfj06ROcnZ0RHR2NTZs2oUSJEmKHZfmy+/fvhyAIaNOmTZbV8PLh0+/fvy/Go6qqChcXF5w8eRKurq657puVmQ4dOmDv3r2YMWMG7ty5A0dHR9y/fx/bt2+Hvb29wgAC6bVp0wbbtm3DmDFjcOPGDVhaWiIgIAA3b94E8PWmBJ6enjhx4gT69++PJk2aIDY2Fvv27ROf/n1ZcACfnzB169YNLVu2FIf5dHV1FTuQenl5oUGDBli7dq1Yc/Xq1Sts3rxZHL4X+NyE859//oGPj4/YCf/SpUu4fPkyhg4dmqv9V7lyZfj6+mLjxo3o1asXvL298e7dO2zcuBGGhobiIAo6Ojpo0KABAgICMHHiRDg5OeHSpUu4ceOGUtXZ5ubm6NWrF1avXo2EhAR4eHjg2rVr4oAqctbW1mJ80dHR8Pb2Fo9NPT09sTYhp+vLzqdPn+Dj4yMOf+zv7w8LCwtxv3t6emLjxo3o378/2rdvj5SUFBw+fBghISFQVVUVf+/WrVtj3bp1GDBgALp06YJSpUohJCQE+/btQ5s2baCnpwc9PT2MHDkSs2fPRqdOndCqVSukpqZiy5YtSEpKwtixYwF8biYxevRoTJ8+HT169EDTpk3x4MED7N+/Hzo6OtluT7FixcTv6NKlC1q2bIn4+HhxePRJkybleN9kR14rsHjxYri5uWXZnzE9DQ0NTJo0CSNGjEDbtm3Rvn17aGlpYefOnXj9+jXmzZuXZfmiqqqKadOmoV+/fujUqRPatWuH9+/fY+PGjRmOxxYtWmDGjBno06cPWrVqhWfPnmHHjh0Kb7t3dnaGvr4+Zs+ejVevXsHIyAhBQUE4dOgQtLS0MpzLOdkfW7duxfv37xVqalq0aIG5c+dCRUVFoeP41/z111949eoVKleujMOHD+PGjRuYNWuWeAz8+uuvCAoKgq+vL3x9fWFqaopjx47h0qVL6NWrV6Z9cHLD2NgYqqqqOH78OMqWLYtGjRqhV69e6Nu3L3x8fNC6dWtoaWkhMDAQz58/z7YTcW7Lza9xc3ND06ZN8ffff+Pdu3dwdHTEiRMnFJLL7BQvXhyhoaHYsmULXF1dc1zDkNOyKS+oqKigS5cu8PX1RUpKCvz9/VG8eHEMGTIk1+saP348+vTpg3bt2qFDhw5QVVXFpk2bYGhoiL59+37TeZkbX35Pu3bt0L59ewDArl27EBERgcWLF+d5M2Q5KcqsbzF27Fj4+vqiffv26Ny5M5KTk7Fx40alm7XKywsfHx/4+PigbNmyOHXqFE6ePIlOnTqJNee+vr5Yvnw5/Pz84OHhgcTERGzfvh06Ojpo164dgMzLhsxqZHJSXtjZ2aFDhw7YuHEjIiIi4O7ujocPH2Lbtm1o3bo1bG1tYWNjgwYNGmDDhg0IDw+Hm5ub+NqF8uXLZxisIr2c3mdlJX15kdN7qOzWd+XKFaxduxY1atTI0SBF8s/l5B4iJ3Jzr6Cqqoq6deviwIEDsLe3F+/j5S3QwsPDFZLanMb5008/wcrKChMnTsSdO3dgbm6Ox48fY/PmzXB3dxevYfJzd/Xq1fD09FR4tUJ6OT4TZ8+eLf6/mpoajIyMULVqVcyaNUuhcHB2dsbWrVuxZMkSrFu3DqmpqbCyssL//vc/hfc0zJgxA+XLl8fBgwdx8OBB6OjowN3dHSNGjBA3oGLFivD19cWePXsQHBwMNze3LKtHraysYG5ujpcvXyq8s6pmzZo4efLkV0f3yyn5+PzLli1DQEAA9u/fj5IlS6JLly7w8/PL9qZTQ0MDq1evxh9//IH9+/cjKSkJderUwfTp0zFu3LivVpd27twZMTEx2LlzJ2bOnIkSJUrAyckJS5cuRefOnXHp0iX07NlTXP7XX3/FzZs3MW/ePBgYGKBnz54YOnSoeNFQUVHBokWLsHr1auzbtw8nTpxA8eLF0ahRIwwbNkys3raxscG6deuwbNkyrF27FnFxcbC0tMTkyZOVGtlq4sSJsLKywrZt2/C///0PRkZGaNiwIYYOHapw0zl9+nTo6uqKA2K4u7tj48aNOX7Snt7o0aNRsmRJbN68GefPn0eVKlWwatWqTPsjVahQAdu2bcOcOXNgYGAAFxcXDBs2TKFZQE7Xl5XBgwfjwYMH+PPPPwF8fvI9duxYsemOp6cnZs6cibVr14r7yd7eHtu3b8fkyZPF9zGULFkSGzZswOLFi7Ft2zZER0ejXLlyGDx4MPr27St+X8+ePVGqVCmsW7cOf/75J7S1tWFvb48//vhD4Zzp2rUrDAwMsGrVKsyZMweWlpb466+/clRgyt83s3btWixYsAA6OjpwdXXF4MGDc119npUuXbrg0qVLWL16NYKDg3N8cwJ8HmDFyMgIy5cvx19//QVVVVVUrlwZy5cvF5/8ZaVOnTrids2fPx9ly5bF7NmzMW/ePIXlunbtiujoaOzatQszZsyAra0tli5dirVr14q1WyVKlMCqVaswb948LF++HJqamrCyssKCBQtw+/Zt8el9Zh2h03N3d0fTpk1x8uRJXLp0CY0aNRLb5bdo0QLz5s1DtWrVFM6tr1mzZg2mTZuGvXv3olKlSli6dKnC6Gbm5ubYsWMHFi5ciG3btiExMREVK1bErFmzxBvVb6Gjo4MRI0ZgzZo1mDlzJszNzVG3bl0sX74cK1euxF9//YWkpCRUrlwZCxYsyDZZzG25mRN//PEHrKyssHfvXhw+fBguLi5YsGBBliO2fmnIkCGYOnUqfv/9d/j5+WXZVDEzOS2bvlXTpk1Rvnx5rF69GjKZDHXq1BHLu9yqVasW/P39sXjxYixbtgxaWlqoWbMmRo8eLXac/5bzMjfk3/PXX39h2bJlUFdXR7Vq1TBr1qxcD7CUG1KVWcpydnbG6tWr8eeff2LhwoUwNjaGr68vHj16lOnLXr9GXl4sXrwYO3bsQEJCAsqXL4/x48crdO8YOnQojI2NsXv3bsyZMwdqamqoXr06/vjjD/H4zqxscHNzy/CdOS0vfvvtN1haWmLnzp04ceIEypYtCz8/P/HdWPL7pL///lu8TzIxMUGnTp0wZMiQbPvNf/n5r91nZSV9eVGpUqUc30Nlpk+fPggLC8OCBQvQtm3bHCdUQM7vIXK6rpzeK3h4eODAgQMK56i8BRoAhff55TROXV1drF27FosXL8a///6L9+/fw9TUFF27dsXgwYPFdTVv3hxHjx7Fnj17cPny5WwTKhXhW4eTohyLjo6Gnp5ehifaAQEBGDp0aIa+MsoKCgpC9+7dMXv27GxrzIjo29WvXx/lypXLcmRTKUVERMDLywuTJ09G165dv7r8uHHjsHfvXoSFhf2A6Cg/srGxQZs2bfC///1P6lBIIlk9zBkwYABCQ0NzPdQ3UVHwfeq3KVMbNmyAk5MT3r59qzD94MGDUFdXF4eRJSLKCzt27ICmpmaumvsRUdHWoUOHDE3R3r9/j6CgIDg6OkoUFVH+lveNbylLzZo1w6pVq/DLL7+gY8eO4kvIjh49ioEDB36XkVmIqOiZP38+Hjx4gNOnT8PHx4dlCxHlWKtWrbBixQqMGjUKbm5uiImJwY4dOyCTyfJktGSiwogJ1Q9UqVIlbN68GUuXLsXKlSvx6dMnWFpaYsaMGejYsaPU4RFRIZGQkIBLly7B29sbI0eOlDocIipA5H17duzYgePHj0NLSwvVq1fH4sWL86wvLFFhwz5URERERERESmIfqiJg8uTJmb4o+cWLFxg8eDBcXV3h6uqKMWPGIDIyUoIIiYiIiIgKJjb5+4EEQcCPrg/ctWsXduzYgZo1a0Im++/Lo6Ki0L17d6SkpKB37z5IS0vD2rVrEBYWhu3bd+T4jddERERElL+oqHz9/aaUd5hQ/UCCAHz4EPf1BfNAWloaNmxYi7VrVwEAUlLSFL575cpV//8y2W2wtLQCAFhaVsaIEX7YvHk7WrVqk+l6iYiIiCh/MzHRB/OpH4dN/gqhpKQk/PJLN6xZsxKNGzeDqWnGlzEeP34UTk41xGQKAGrWdIO5uQWOHz/6I8MlIiIiIiqwmFAVQsnJyUhIiMf06bMxadJ0qKmpKcyPiYnB69evYGNjm+Gz1ta2CAu796NCJSIiIiIq0NjkrxDS09PD1q17oK6e+c/7/n0EAGRac2ViUgJxcXGIi4uDvr7+d42TiIiIiKigYw1VIaSqqpplMgV8fkcNAGhra2eYp6WlBQBITPz0fYIjIiIiIipEmFAVQfJXj2XfWZE9GYmIiIiIvoZN/oogHR1dAJ8Hr0hPPk1PT++HxkRERET5T3JyIj59iodMlqbw+hWShqqqKjQ0NKCnZ8Rh0fMRJlRFUKlSpQEA79+/zzDv/ft30Nc3gI6Ozo8Oi4iIiPIJQZDh48cPSExMgIqKKtTU1KGiwoZNUktLS0FSUgJSUlJgbFyCSVU+wYSqCDIwMECZMuVw/35YhnkPHoTB1tZOgqiIiIgov/j0KR6JiQnQ0zOCvr4hk6l8JD4+BrGxUYiP/wh9fWOpwyGwD1WRVa9efVy9GoRnz56K065cCcLz58/g7d1IusCIiIhIcomJn6CmpgF9fSMmU/mMnp4h1NU1kJKSInUo9P9YQ1VEde3aHUeOHMSwYQPRubMPkpOTsWXLBtjY2KFRo2ZSh0dEREQSEgQBqqpqbFKWT6moqEEmk0kdBv0/JlRFVLFixbBs2SosXrwAa9ashJaWNjw86mHQoGHQ1NSUOjwiIiIiogJBRZCPoU3fnUwm4MOHOKnDICIiIsrWhw/hAAATk1ISR0KZ+drvY2KiD1VV1i7+KGwUS0REREREpCQmVEREREREmUhIiEdUVJTUYVA+x4SKiIiIiCid0NB76Nq1PZ48eSR1KJTPMaEiIiIiIkrn8eOHeP/+ndRhUAHAhIqIiIiIiEhJHDY9H9DT04K6euHMbVNTZYiPT5I6DCIiIiok7twJwbp1qxASchuqqmqwt3fAgAFDULFiJQDArVs3sHbt37h7NxgAYGdnj19+6Qcnp+riOmJiYrBkyQJcu3YFUVGRMDUtifr1G6JXr77Q0tLCmjUrsW7d3wCAoUMHoHTpMti1698fv7FUIDChygfU1VWhkpSEmLBnUoeSpwxtLKCupSV1GERERFRI3Lp1A8OHD4KJSQl07dod2tra2LFjK4YM6Y81azbi0aMHmDBhNMqWNUOPHr0BAP/+uw/Dhg3ErFlzUbeuFwBgypRxePAgDB06dIGJSQmEhNzGpk3r8fHjR4wdOxFeXvXx4cN77N+/F76+vWBnZy/lZlM+x4Qqn4gJe4agfjOkDiNPua2aDANHa6nDICIiokJi6dKFMDQ0wpo1G2FkZAwAqFWrDrp164Bdu7bh5MnjKFHCFGvWbICenj4A4Oef26F7906YP38OatWqg9jYGFy9ehmDBg1D166+AICWLVtDEAS8fv0KAFCpUmU4ODhi//69qFnTDdWru0iyvVQwFM52ZkRERERUqERFReLevTto2LCJmEwBgLm5BVav3oD69RshIiIc7dp1FJMpADAwMEDbth3x7l0EQkPvQk9PHzo6uti7dxdOnTqOT58+AQAmTJiKRYv++tGbRYUAEyoiIiIiyvfevn0DADAzK59hnrW1Ld6+fQ3gc4KVnqWlpbgOTU1NjB49AVFRHzBp0lg0b94AI0cOxj//7EFSEvt9U+6xyR8RERER5XtpaTIAgIqKSqbzBUHI8rMy2ed5GhoaAIBGjZqgVi13nDlzChcvnsPVq5dx+fIl7N27C6tWrYempmYeR0+FGWuoiIiIiCjfK126NADg1auXGeb99ddivHnzuQbr2bOnGeY/f/554K+SJUshISEBt27dBKCCFi1+xqxZf+DAgUB06NAFDx/ex+XLl77XJlAhxYSKiIiIiPK9EiVMUamSNQIDAxAfHydOf/XqJXbt2oaoqA8wMSmBvXt3KcyPj4/D3r07YWJSAjY2dnj8+BH8/PrgwIF/xGU0NDRgbW0DAFBT+3x7rKr6+b/Z1XwRAWzyR0REREQFxNChIzFy5GD06dMdLVu2hoqKKnbv3g59fQP4+PRA1arVMHXqBPTu3R0tW/4MAPj333/w4cN7zJgxB6qqqrC3d0C1as74+++/EBHxFhUrVkZERDh27doOCwtLuLi4AQCMjYsBAPbu3YUPHz6gUaMmkm035W8qAtPuH0YmE/DhQ1yG6UZGOoi9fb/QDpv+8eMnqUMhIiKiXPjwIRwAYGJSSuJIMrp9+ybWrFmJu3dDoKWlhWrVnDFo0DCUK2cGALh69TLWr1+N0NC7UFdXR5UqDujRozeqVXMW1xET8xFr1/6N8+fP4sOHdzAwMEDt2h7o02cATExKAABSU1Px22+Tcf78GWhqamHfvsPQyifv1/za72Niog9V1cz7mlHeY0L1AzGhIiIiooIgPydUxIQqv2EfKiIiIiIiIiUxoSIiIiIiIlISEyoiIiIiIiIlMaEiIiIiIiJSEhMqAPfu3YO9vT3evn2rMP3cuXNo164dqlWrhvr162Pt2rUSRUhERERERPlRkU+oHj16hP79+yM1NVVh+vXr1zFgwABUqFABS5YsQcuWLTF37lysWbNGokiJiIiIiCi/KbIv9k1NTcX27dsxf/58aGhoZJi/ePFiVKlSBX/88QcAwNPTE6mpqVixYgV8fX2hqan5o0MmIiIiIqJ8psjWUF27dg3z5s3DL7/8gl9//VVhXlJSEq5evYpGjRopTG/cuDFiYmJw/fr1HxkqERERERHlU0U2oapYsSICAwMxePBgqKmpKcx78eIFUlJSYGVlpTDdwsICAPDkyZMfFicREREREeVfRbbJX4kSJbKcFxsbCwDQ19dXmK6npwcAiIuL+36BERERERFRgVFkE6rsCIKQ7XxV1SJbsUdERERFnJ6eFtTVpb8XSk2VIT4+SeowiJhQZcbAwAAAEB8frzBdXjMln09ERERU1Kirq0IlKQkxYc8ki8HQxgLqWlpKfbZuXRf06TMAPXv2yeOoqKhiQpUJc3NzqKmp4fnz5wrT5X+n71tFREREVJTEhD1DUL8Zkn2/26rJMHC0luz7ib4kfX1tPqSlpQUXFxccPXpUoflfQEAADAwM4ODgIGF0RERERESUXzChysLAgQNx/fp1jBgxAqdPn8bChQuxZs0a9O/fHzo6OlKHR0RERETf6NChf1G3rgsiIsIVprdv3xL/+9/nGrjFi+fDw6Mmbt26Kc7fvXsH6tZ1wdmzpwB8bka4fv1qhXWsWbMSXl5u4t+DB/fDzJlTMX78r2jQoA7GjBmBPn26w8+vb4a4+vfvhUmTxubJNtL3x4QqC+7u7liyZAkePXoEPz8//PvvvxgzZgz69s140BMRERFR4dS/vx/KlSuPefN+R2pqKl69eokVK5agZcvW8PCol6t1HTt2BEZGRpgz50906tQVzZq1xO3bN/H27RtxmefPn+HOnWA0a9Yyj7eEvhf2oQLQtm1btG3bNsP0hg0bomHDhhJERERERET5gZaWNsaPn4IhQ/ph27ZNuHTpAooXN8GQISOVWteoUeOgoaEBALC2tsXSpQsREHAIPXr0BgAcOXIQJiYmcHNzz9PtoO+HNVRERERERNmoVs0JHTp0xqpVfyE4+BYmT/4Nurq6uV6PpaWVmEwBn0eO9vSsh6NHDwP4/OqegIBDaNSoGdTU1PIsfvq+mFAREREREX1FkybNIZPJUKKEKSpXtlFqHTo6GZOw5s1b4tmzpwgNvYsbN64hPPwtm/sVMEyoiIiIiKhIUlFRAQDIZDKF6Z8+JSj8LZPJMH/+HJQvb47o6CisXr0iw7oyruNTjmKoUcMVpUqVxokTx3DixDHY2VWBlVWF3GwGSYwJFREREREVSbq6egCA8PD/Rvl79uwpPn78qLDctm2bcfduCCZOnI6ePfti+/bNCAkJFufr6ellGCkwOPhWjmJQVVVFs2Ytcfr0SZw/fxZNm7J2qqDhoBREREREVCRVr+4CLS0tLF48H336DEBCQjzWrFkJQ0MjcZnnz59i9eoVaNOmPRwcqsLW1g7Hjh3G7NnTsXbtZmhpaaF2bQ8cPXoEtrZVYGZWHocP/4tXr17kOI6mTVtg/frV0NDQgLd34++xqfQdMaEiIiIiolwxtLGA26rJkn6/kAfrMTAwwKxZf2DFiqWYMOFXlC5dBr169cORIwcBfG7GN2vWdBgbG6N/fz8AgLq6OkaPnoBBg/pgzZoVGDRoGIYMGYHU1FQsW7YIampq8PZuhAEDBuOPP2bnKI6yZcvB0tIKVlYVYWhomAdbRj+SiiAIeXE8Ug7IZAI+fIjLMN3ISAext+8jqN8MCaL6ftxWTYaBozU+fsxZG2IiIiLKHz58+Nx8zcSkVIZ5enpaUFeXvtdIaqoM8fFJUoeRJ968eY1OnVpj/vzFqFmz1leXz+73+TxdH6qqKnkaI2WNNVRERERElGOFJYnJD+7fD8W5c2dw4kQgKlSoBBcXN6lDIiVI/3iBiIiIiKgISk5OxrZtm6GiAkyZMkMcdZAKFtZQERERERFJwMHBEUePnpY6DPpGrKEiIiIiIiJSEhMqIiIiIiIiJTGhIiIiIiIFKioqkMnSwMGg8ydBSIOqKm/j8wv+EkRERESkQFtbB2lpKYiL+whBkEkdDn0hPj4Gqakp0NDQkDoU+n8clIKIiIiIFOjo6CE5ORHx8R+RkBALNTV1qKjwObzUBCENqakp0NLShZ6ekdTh0P9jQkVEREREClRUVGFsbIrk5ER8+hQPmSwNMhmb/0lNTU0D2tqfkykOsZ5/MKEiIiIiokxpampDU1Nb6jCI8jXW3RIRERERESmJCRUREREREZGSmFAREREREREpiX2oqEi6desmVq1ahtDQuzAwMISHRz307t0fxsbGUodGRERERAUIEyoqcq5fv4pRo4ZAX98Avr69oKamhh07tuL69StYvnwtDA0NpQ6RiIiIiAoIJlRU5Cxc+AdUVVWxYsValCtnBgDw9PwJPXp0xoYNazF48HBpAyQiIiKiAoN9qKhIefPmNR4/foTGjZuJyRQAWFhYok4dDxw5ckDC6IiIiIiooGFCRUXKu3cRAICKFStlmFeuXHlER0cjPPztjw6LiIiIiAooJlRUpOjo6AAAEhISMsyLifkIAIiM/PBDYyIiIiKigosJFRUplpYVoKenh1OnTkAQBHF6UlISLl++BABITk6WKjwiIiIiKmCYUFGRoqGhgU6dfBAWdg/Tp0/Co0cP8eBBGCZPHotPnz4BANTU1CSOkoiIiIgKCo7yR0VOz559EBcXi127tiMwMAAAUKeOB3x8umPFiqUcNp2IiIiIcowJFRU5qqqqGDp0FLp164kXL16gVKlSKF26DFauXAY1NTWUKlVG6hCJiIiIqIBgQkVFzrFjR2BiUgLVq7ugeHETcfqtWzdgbW0LLS0tCaMjIiIiooKEfaioyNmxYwv+/HMuUlNTxWkXLpzD7ds30bZtBwkjIyIiIqKChjVUVOT4+PTApEljMWbMCHh5/YS3b99g+/bNcHV1R6NGTaUOj4iIiIgKECZUVOTUq9cA06bNwqZN/liyZAGKFTNBly6+8PXtxRH+iIiIiChXmFBRkeTt3Rje3o2lDoOIiIiICjj2oSIiIiIiIlISEyoiIiIiIiIlMaEiIiIiIiJSEhMqIiIiIiIiJXFQCqIiLjT0HlasWIKQkNtQVVWDk1N1DB48DObmllKHRkRERJTvMaGifEVPTwvq6oWz4jQ1VYb4+CSpw1Dw/PlTDBnSH9ra2ujZsw8AYNu2zRg0qA/Wr9+KEiVMJY6QiIiIKH9jQkX5irq6KlSSkhAT9kzqUPKUoY0F1LW0pA4jgx07tuLTpwQsW7YK1ta2AIAaNWqib98e2L59C/z8hkkcIREREVH+xoSK8p2YsGcI6jdD6jDylNuqyTBwtJY6jAxev34FY2NjMZkCADs7exgZGeHRo4cSRkZERERUMBTOtlVElCNmZuURExODqKgocVpMzEfExcWhRIkSEkZGREREVDAwoSIqwrp27QFT05KYNm0iHj58gEePHmLatIlQV1dH+/adpA6PiIiIKN9jkz+iIqx06dLw9e2FP/+ci549uwAA1NTUMGPGHIVmgERERESUOSZUREXY338vh7//Gjg5VUerVm0hk6Vh377dmDJlHGbOnIu6dT2lDpGIiIgoX2NCRVRExcbGYuvWjbC1rYJFi5ZDTU0NAODt3Rh9+nTH3Lmz4OpaC5qamhJHSkRERJR/sQ8VURH18uVzJCcnw9u7kZhMAYC6ujoaNWqCyMgPePbsqXQBEhERERUATKiIiigNjc81TzKZLMO8tLTP0wQh4zwiIiIi+g8TKqIiysqqAkqUMMWhQweQlJQkTk9KSkJAwEEYGxujQoVKEkZIRERElP+xDxVREaWmpoYRI8Zg8uSx6NevB5o3/xkyWRoOHtyPZ8+eYvLk36CuziKCiIiIKDu8WyIqwry8fsKffy7DunV/Y9WqZQAAa2tb/PHHItSqVVvi6IiIiIjyPyZUREVcjRo1UaNGTanDICIiIiqQ2IeKiIiIiIhISUyoiIiIiIiIlMSEioiIiIiISElMqIiIiIiIiJTEhIqIiIiIiEhJTKiIiIiIiIiUxGHTifIpPT0tqKsXzmceqakyxMcnSR0GERER0TdjQkWUT6mrq0IlKQkxYc+kDiVPGdpYQF1LS+owiIiIiPIEEyqifCwm7BmC+s2QOow85bZqMgwcraUOg4iIiChPFM72RERERERERD8AEyoiIiIiIiIlMaEiIiIiIiJSEhOqr9i6dSuaNm0KJycntGzZEvv375c6JCIiIiIiyic4KEU2tm/fjmnTpuGXX36Bh4cHTp8+jdGjR0NDQwNNmzaVOjwiIiIiIpIYE6ps7N27F25ubhg7diwAoHbt2ggJCcGWLVuYUBEREREREZv8ZScpKQl6enoK04yNjREdHS1NQERERERElK8wocpG9+7dcfbsWRw+fBhxcXE4cuQITp06hZ9//lnq0IiIiIiIKB9gk79sNG/eHJcuXcLw4cPFaW3atEGfPn2kC4qIiIiIiPINJlTZGDhwIG7cuIHx48ejSpUquHXrFv766y/o6+tj0qRJUodHREREREQSY0KVhevXr+PcuXOYPXs22rZtCwBwdXWFoaEhpkyZgo4dO8La2lriKImIiIiISErsQ5WF169fAwCqV6+uMN3FxQUA8PDhwx8eExERERER5S9MqLJgZWUFALh27ZrC9Js3bwIAypUr96NDIiIiIiKifIZN/rJgb28Pb29vzJo1C7GxsbCzs0NISAiWLVsGT09PVKtWTeoQiYiIiIhIYkyosvHnn39i6dKlWL9+PT58+IBy5crhl19+Qb9+/aQOjYiIiIiI8gEmVNnQ1NTEyJEjMXLkSKlDISIiIiKifIh9qIiIiIiIiJTEhIqIiIiIiEhJTKiIiIiIiIiUxISKiIiIiIhISUyoiIiIiIiIlMSEioiIiIiISElMqIiIiIiIiJTEhIqIiIiIiEhJTKiIiIiIiIiUxISKiIiIiIhISUyoiIiIiIiIlMSEioiIiIiISElMqIiIiIiIiJTEhIqIiIiIiEhJTKiIiIiIiIiUxISKiIiIiIhISUyoiIiIiIiIlMSEioiIiIiISElMqIiIiIiIiJTEhIqIiIiIiEhJTKiIiIiIiIiUxISKiIiIiIhISUyoiIiIiIiIlMSEioiIiIiISElMqIiIiIiIiJTEhIqIiIiIiEhJTKiIiIiIiIiUxISKiIiIiIhISUyoiIiIiIiIlMSEioiIiIiISElMqIiIiIiIiJTEhIqIiIiIiEhJTKiIiIiIiIiUxISKiIiIiIhISUyoiIiIiIiIlMSEioiIiIiISElMqIiIiIiIiJTEhIqIiIiIiEhJTKiIiIiIiIiUxISKiIiIiIhISUyoiIiIiIiIlMSEioiIiIiISElMqIiIiIiIiJTEhIqIiIiIiEhJTKiIiIiIiIiUxISKiIiIiIhISUyoiIiIiIiIlMSEioiIiIiISElMqIiIiIiIiJTEhIqIiIiIiEhJTKiIiIiIiIiUxISKiIiIiIhISUyoiIiIiIiIlMSEioiIiIiISElMqIiIiIiIiJTEhIqIiIiIiEhJTKiIiIiIiIiUxISKiIiIiIhISUyoiIiIiIiIlMSEioiIiIiISElMqIiIiIiIiJTEhIqIiIiIiEhJTKiIiIiIiIiUxISKiIiIiIhISUyoiIiIiIiIlMSEioiIiIiISElMqL7iypUr6NKlC6pVq4a6detixowZiI+PlzosIiIiIiLKB5hQZePmzZvo1asXTE1NsXz5cvj5+WH//v2YNGmS1KEREREREVE+oC51APnZvHnz4OTkhEWLFkFFRQW1a9eGTCbDunXr8OnTJ+jo6EgdIhERERERSYg1VFmIjIzE1atX0aVLF6ioqIjTfXx8EBgYyGSKiIiIiIiYUGXl/v37EAQBRkZGGD58OJycnFCjRg1MnToViYmJUodHRERERET5ABOqLERGRgIAxo0bh2LFimH58uUYMmQI/vnnH0ybNk3a4IiIiIiIKF8ocH2oUlNTERwcjDdv3sDV1RXa2tpIS0uDkZFRnn5PSkoKAKB69eqYOnUqAMDd3R2CIGDOnDnw8/ND+fLl8/Q7iYiIiIioYClQNVSHDx9GvXr10LVrV4waNQoPHjzAtWvX4OXlhdWrV+fpd+np6QEAPD09FabXrVsXgiAgLCwsT7+PiIiIiIgKngKTUJ07dw6jRo2CpaUlxo4dC0EQAABmZmawtrbG/Pnz8c8//+TZ91laWgIAkpOTFabLa66+HKiCiIiIiIiKpgKTUC1btgwODg7YsGEDfv75Z3F6xYoVsWXLFjg7O8Pf3z/Pvq9ixYooV64cDh06pDD95MmTUFdXh7Ozc559FxERERERFUwFJqG6d+8emjdvDlXVjCGrq6ujRYsWePLkSZ59n4qKCn799VdcvXoVv/76Ky5cuIBVq1Zh+fLl6NatG4oXL55n30VERERERAVTgRmUQkNDA6mpqVnOj46OhoaGRp5+Z7NmzaCpqYlly5ahf//+MDExgZ+fH/r375+n30NERERERAVTgUmoXF1dsWvXLnTr1i3DvIiICGzZsgU1atTI8+/19vaGt7d3nq+XiIiIiIgKvgKTUI0YMQKdO3dGq1at4OnpCRUVFRw/fhynTp3C3r17kZycjKFDh0odJhERERERFSEFpg9VpUqVsHnzZpQsWRIbN26EIAjYtGkT/P39YW5ujvXr18POzk7qMImIiIiIqAgpMDVUDx48gLW1NTZu3Ijo6Gg8f/4cMpkM5cqVg6mpqdThERERERFREVRgEqqePXuiTZs2+PXXX2FsbAxjY2OpQyIiIiIioiKuwDT5S0hIgJmZmdRhEBERERERiQpMQtWjRw+sW7cOwcHBUodCREREREQEoAA1+QsJCUFERAQ6duwIbW1tGBsbZ3jJr4qKCgIDAyWKkIiIiIiIipoCk1AlJSXBwcFB6jCIiIiIiIhEBSah2rhxo9QhEBERERERKSgwCZVcdHQ0Lly4gFevXkFDQwNly5ZF7dq1oa+vL3VoRERERERUxBSohGrLli34448/kJiYCEEQxOlaWloYM2YMfHx8JIyOiIiIiIiKmgKTUAUGBuK3335DlSpV0KdPH1SoUAGCIODx48dYt24dZs6cibJly+Knn36SOlQiIiIiIioiCkxC9ffff6NKlSrYtm0bNDU1xel2dnZo1KgROnXqhNWrVzOhIiIiIiKiH6bAvIcqNDQUP//8s0IyJaehoYGff/4Z9+7dkyAyIiIiIiIqqgpMQqWpqYlPnz5lOT8+Ph5qamo/MCIiIiIiIirqCkxCVbNmTWzevBkREREZ5oWHh2PLli2oUaOGBJEREREREVFRVWD6UA0fPhydOnVC06ZN0bp1a1haWgIAHj9+jP379yMtLQ3Dhg2TNkgiIiIiIipSCkxCZW1tDX9/f8ycORObN29WmOfg4IBJkybBzs5OouiIiIiIiKgoKjAJFQA4Ojpix44d+PDhA169egVBEFCuXDmUKFFC6tCIiIiIiKgIKjB9qAAgJCQEI0aMAPA5uapWrRrWrFmDoUOH4tGjRxJHR0RERERERU2BSaiuXr2Krl274vz584iKihKnm5qa4tq1a2jfvj1CQ0MljJCIiIiIiIqaApNQLVq0CFZWVjh69CgqVaokTv/ll19w6NAhlC9fHvPnz5cwQiIiIiIiKmoKTEJ17949dOrUCcbGxhnmGRkZoWPHjrh9+/aPD4yIiIiIiIqsApNQqaurKzT1Sy8uLg4ymewHRkREREREREVdgUmo3NzcsGnTJrx48SLDvPDwcGzatAmurq4SREZEREREREVVgRk2fdiwYejQoQNatWoFT09P8cW+L168wOnTp6GiooKRI0dKGyQRERERERUpBSahqlChAnbv3o2FCxfizJkzCAgIAABoa2ujTp06GDlyJCpWrChxlEREREREVJQUmIQKACwtLbFw4UIIgoCoqCgkJiYiLCwMampqsLCwkDo8IiIiIiIqYgpMQpWcnIyZM2fi1atXWLNmDfT19dG7d2/x3VMVK1aEv78/TExMJI6UiIiIiIiKigIzKMXSpUuxY8cOlC5dGgCwb98+3Lt3D76+vvj999/x7t07LFq0SOIoiYiIiIioKCkwNVSHDx9G+/btMXPmTABAQEAADAwMMGbMGKirq+PFixfYuXOnxFESEREREVFRUmBqqN6+fQsnJycAwKdPn3DlyhW4u7tDXf1zTlimTBnExMRIGCERERERERU1BSahKlGiBN6/fw8AOHv2LJKTk1GvXj1xflhYGEqWLClRdEREREREVBQVmCZ/bm5u8Pf3h5aWFjZv3gwdHR14e3sjJiYGu3fvxo4dO9C5c2epwyQiIiIioiKkwCRUEyZMQHh4OObMmQNdXV3MnDkThoaGuHbtGubMmYOaNWti8ODBUodJRERERERFSIFJqAwNDbFu3TpERkZCX18fmpqaAAA7Ozts374d1apVkzhCIiIiIiIqagpMQiVXvHhxhb91dXWZTBERERERkSQKzKAURERERERE+Q0TKiIiIiIiIiUxoSIiIiIiIlISEyoiIiIiIiIlMaEiIiIiIiJSEhMqIiIiIiIiJTGhIiIiIiIiUhITKiIiIiIiIiUxoSIiIiIiIlISEyoiIiIiIiIlMaEiIiIiIiJSEhMqIiIiIiIiJTGhIiIiIiIiUhITKiIiIiIiIiUxoSIiIiIiIlISEyoiIiIiIiIlMaEiIiIiIiJSEhMqIiIiIiIiJTGhIiIiIiIiUhITKiIiIiIiIiUxoSIiIiIiIlISEyoiIiIiIiIlMaEiIiIiIiJSEhMqIiIiIiIiJTGhIiIiIiIiUhITKiIiIiIiIiUxoSIiIiIiIlISEyoiIiIiIiIlMaEiIiIiIiJSEhOqXBg8eDAaNmwodRhERERERJRPMKHKoX/++QfHjh2TOgwiIiIiIspHmFDlQHh4OGbNmoXSpUtLHQoREREREeUjTKhyYNKkSahTpw7c3d2lDoWIiIiIiPIRJlRfsXPnTty5cweTJ0+WOhQiIiIiIspn1KUOID979eoVZs+ejdmzZ6N48eJSh0NERERERPkMa6iyIAgCJkyYAC8vLzRu3FjqcIiIiIiIKB9iDVUWNm/ejLCwMPz7779ITU0F8DnJAoDU1FSoqalBRUVFyhCJiIiIiEhiTKiyEBAQgKioKNStWzfDPHt7e8yePRtt27aVIDIiIiIiIsovmFBlYfr06YiPj1eYtmzZMty7dw9Lly6FmZmZRJEREREREVF+wYQqCxUqVMgwzdjYGJqamqhataoEERERERERUX7DQSmIiIiIiIiUxBqqXPjf//4ndQhERERERJSPsIaKiIiIiIhISUyoiIiIiIiIlMSEioiIiIiISElMqIiIiIiIiJTEhIqIiIiIiEhJTKiIiIiIiIiUxISKiIiIiIhISUyoiIiIiIiIlMSEioiIiIiISElMqIiIiIiIiJTEhIqIiIiIiEhJTKiIiIiIiIiUxISKiIiIiIhISUyoiIiIiIiIlMSEioiIiIiISElMqIiIiIiIiJTEhIqIiIiIiEhJTKiIiIiIiIiUxISKiIiIiIhISUyoiIiIiIiIlMSEioiIiIiISElMqIiIiIiIiJTEhIqIiIiIiEhJTKiIiIiIiIiUxISKiIiIiIhISUyoiIiIiIiIlMSEioiIiIiISElMqIiIiIiIiJTEhIqIiIiIiEhJTKiIiIiIiIiUxISKiIiIiIhISUyoiIiIiIiIlMSEioiIiIiISElMqIiIiIiIiJTEhIqIiIiIiEhJTKiIiIiIiIiUxISKiIiIiIhISUyoiIiIiIiIlKQudQBERPlBUNBF+PuvQVjYPaiqqqJKlaro23cgHByqSh0aERER5WOsoSKiIu/GjWv49dehiIuLRb9+g9CrV1+8fv0SQ4b0w927IVKHR0RERPkYa6iIqMhbvHg+SpYshVWr/KGtrQ0AaNKkOXx8OmDVqr+wcOFfEkdIRERE+RVrqIioSIuJicHDhw9Qv35DMZkCgOLFTeDkVB0hIbcljI6IiIjyO9ZQEVGRpqenhy1bdkNHRyfDvI8fo6GmpiZBVERERFRQMKEioiJNTU0N5cubZ5j+8OEDBAffgquruwRRERERUUHBhIqIKJ2EhATMnDkVANCtWw+Jo/nxOOIhERFRzrEPFRHRFxITEzFu3Eg8fHgf3br1hLNzDalD+qE44iEREVHusIaKiOj/xcbGYsyY4QgOvoXmzVuhX79BUof0w3HEQyIiotxhDRUREYCoqEgMHdofwcG30KpVG4wbNxkqKipSh/VDccRDIiKi3GMNFREVeQkJ8Rg5cjAePLiPTp26YsiQkVKHJAmOeJgR+5MREdHXsIaKiIq8+fPn4MGD++jQoUuRTaaA/0Y8LFHCVGG6fMRDB4dqEkUmDfYnIyKinGANFREVaU+fPkFAwCHo6xugcmVrBAQcyrBM48bNJIgsfyjKIx6yPxkREeUEEyoiKtJu3rwGAIiLi8Xvv0/PdJmimlB9OeKhr2+vIjXiobw/WefO3TLtT3blyiUJoyMiovyECRURFWmtW7dH69btpQ4j3ynqIx6yPxkREeUUEyoiIlIQFRUpDtLRqlUbjB49ociNeCjvT5aevD+Zq6u7BFEREVF+xISKiIhEHPEwa0W5PxnAEQ+JiLLCUf6IiEjEEQ8z92V/sm7dehap/mQARzwkIsoOa6iIiAgARzzMSlHvTwZwxEMiouwwoSIiIgAc8TAz7E/GEQ+JiL6GCRUREQHgiIfpsT/ZZxzxkIgoe0yoiCjf09PTgrp64ezymZoqQ3x8ktRhUCbYn+wzjnhIRJQ9JlRElO+pq6tCJSkJMWHPpA4lTxnaWEBdS0vqMCgT7E+WvaI+4iER0ZeYUBFRgRAT9gxB/WZIHUaecls1GQaO1lKHQZlgf7KsfTnioa9vryI34iERUXpMqIiIiNJhf7LMccRDIqKMmFARERHRV3HEQyKizDGhIiIiomxxxEMioqwxoSIiKkA44iFJgSMeEhFljQlVNmQyGbZv344tW7bg5cuXMDExQYMGDTBkyBDo6+tLHR4RFUEc8ZB+NI54SESUPSZU2Vi9ejUWLlyI3r17w93dHU+ePMHixYvx8OFDrFmzRurwiKiI4oiH9CNxxEMiouwxocqCIAhYvXo1OnXqhFGjRgEAateujWLFimHEiBG4d+8e7OzsJI6SiIjo++KIh0RE2WNClYX4+Hi0atUKTZs2VZheoUIFAMDz58+ZUBERSYj9yYiIKD9gQpUFfX19TJo0KcP0wMBAAEClSpV+dEhERPQF9icjIqL8gAlVLty6dQurVq2Ct7c3KlasKHU4RERFHvuTERGR1ApnW4nv4Nq1a+jTpw/MzMwwc+ZMqcMhIiIiIqJ8gAlVDhw6dAi9evVCmTJlsH79ehQrVkzqkIiIiIiIKB9gk7+vWLduHebMmQNXV1csW7YMBgYGUodERESkoLAO0MHBOYioIGBClY2dO3fif//7H5o1a4Y5c+ZAU1NT6pCIiIgyKIwDdHBwDiIqKJhQZeHDhw+YNWsWypUrBx8fH9y9e1dhvrm5OYoXLy5RdERERIoK2wAdHJyDiAoKJlRZOHv2LD59+oRXr17Bx8cnw/y5c+fi559/liAyIiIiIiLKL5hQZaF169Zo3bq11GEQEREREVE+Vvh6sBIREREREf0gTKiIiIiIiIiUxISKiIiIiIhISUyoiIiIiIiIlMSEioiIiIiISElMqIiIiIiIiJTEhIqIiIiIiEhJTKiIiIiIiIiUxISKiIiIiIhISUyoiIiIiIiIlMSEioiIiIiISElMqIiIiIiIiJTEhIqIiIiIiEhJTKiIiIiIiIiUxISKiIiIiIhISUyoiIiIiIiIlMSEioiIiIiISElMqIiIiIi+wZw5szB4cD+pwyAiiTChIiIiIlLSgQP78O+/e6UOg4gkpC51AEREREQFTVpaGjZsWIu1a1dJHQoRSYwJFREREVEuJCUloV+/nnj06AGaNGmOa9euSB0SEUmITf6IiIiIciE5ORkJCfGYPn02Jk2aDjU1NalDIiIJsYaKiIiIKBf09PSwdeseqKvzNoqImFARERER5YqqqipUVdnIh4g+Y2lARERERESkJCZURERERERESmJCRUREREREpCQmVEREREREREpiQkVERERERKQkJlRERERERERKYkJFRERERESkJL6HioiIiOgb7Nr1r9QhEJGEWENFRERERESkJNZQEREREZFSXr9+haVLF+LGjWsAgNq162Lw4BEoVqyYxJER/ThMqIiIiIgo1z5+jMbQoQOQkpICH5/uSEtLw9atG/Ho0UP8/bc/NDQ0pA6R6IdgQkVEREREubZt22a8excBf/9tsLS0AgBUqeKAESP8cPjwAbRq1UbiCIl+DPahIiIiIqJcO378KJycaojJFADUrOkGc3MLHD9+VMLIiH4s1lARERFRoaGnpwV19cL3vDg1VYb4+CSpwxDFxMTg9etXqFevQYZ51ta2uHTpvARREUmDCRUREREVGurqqlBJSkJM2DOpQ8kzhjYWUNfSkjoMBe/fRwAATE1LZphnYlICcXFxiIuLg76+/o8OjeiHY0JFREREhUpM2DME9ZshdRh5xm3VZBg4WksdhoKEhAQAgLa2doZ5Wv+f/CUmfmJCRUVC4asTJyIiIqLvShAEAICKSnZLZTuTqNBgQkVEREREuaKjowsASErK2K9LPk1PT++HxkQkFSZURERERJQrpUqVBgC8f/8+w7z3799BX98AOjo6PzosIkkwoSIiIiKiXDEwMECZMuVw/35YhnkPHoTB1tZOgqiIpMGEioiIiIhyrV69+rh6NQjPnj0Vp125EoTnz5/B27uRdIER/WAc5Y+IiIiIcq1r1+44cuQghg0biM6dfZCcnIwtWzbAxsYOjRo1kzo8oh+GCRURERER5VqxYsWwbNkqLF68AGvWrISWljY8POph0KBh0NTUlDo8oh+GCRURERERKcXc3BLz5i2WOgwiSbEPFRERERERkZKYUBERERERESmJTf6IiIiIiL7R69evsHTpQty4cQ0AULt2XQwePALFihWTODL63phQERERERF9g48fozF06ACkpKTAx6c70tLSsHXrRjx69BB//+0PDQ0NqUOk74gJFRERERHRN9i2bTPevYuAv/82WFpaAQCqVHHAiBF+OHz4AFq1aiNxhPQ9MaEiIiIiKoT09LSgrl74usunpsoQH58kdRgKjh8/CienGmIyBQA1a7rB3NwCx48fZUJVyDGhIiIiIiqE1NVVoZKUhJiwZ1KHkmcMbSygrqUldRgKYmJi8Pr1K9Sr1yDDPGtrW1y6dF6CqOhHYkJFREREVEjFhD1DUL8ZUoeRZ9xWTYaBo7XUYSh4/z4CAGBqWjLDPBOTEoiLi0NcXBz09fV/dGj0gxS+emAiIiIioh8kISEBAKCtrZ1hntb/16YlJn76oTHRj8WEioiIiIhISYIgAABUVLJbKtuZVMAxoSIiIiIiUpKOji4AICkp40AZ8ml6eno/NCb6sZhQEREREREpqVSp0gCA9+/fZ5j3/v076OsbQEdH50eHRT8QEyoiIiIiIiUZGBigTJlyuH8/LMO8Bw/CYGtrJ0FU9CMxoSIiIiIi+gb16tXH1atBePbsqTjtypUgPH/+DN7ejaQLjH4IDptORERERPQNunbtjiNHDmLYsIHo3NkHycnJ2LJlA2xs7NCoUTOpw6PvjAkVEREREdE3KFasGJYtW4XFixdgzZqV0NLShodHPQwaNAyamppSh0ffGRMqIiIiIqJvZG5uiXnzFksdBkmAfaiIiIiIiIiUxITqKw4cOIDmzZvD0dERTZs2xb59+6QOiYiIiIiI8gkmVNk4dOgQfv31V9StWxfLli2Dq6srxo4diyNHjkgdGhERERER5QPsQ5WNP//8E02bNsX48eMBAB4eHvj48SMWLVqEJk2aSBwdERERERFJjTVUWXjx4gWeP3+ORo0U3x3QuHFjPH78GC9evJAoMiIiIiIiyi+YUGXh8ePHAAArKyuF6RYWFgCAJ0+e/PCYiIiIiIgof1ERBEGQOoj86MCBAxg1ahSOHz8OMzMzcfqzZ8/QqFEj/Pnnn2jWLHcvahMEAZntbRWV/5+fJvuWkPMdFbXP+XpujjDuiy8+w33x32e4L/77DPfFf5/hvvjvM4VwXyizHwDuC4XPcV8oflYlj4PJB7LaDyoqgEph3OB8in2osvC1PFNVNfeVeyoqKtmezCrqarleZ0GgzPnMffHFZ7gv/vsM98V/n+G++O8z3Bf/faYQ7gtl7wm5L774HPdFocX9kD+wyV8WDAwMAADx8fEK0+Pi4hTmExERERFR0cWEKgvyvlPPnz9XmP7s2TOF+UREREREVHQxocqChYUFzMzMMrxz6ujRo7C0tETZsmUlioyIiIiIiPIL9qHKhp+fH8aPHw8jIyPUq1cPx48fx+HDh/Hnn39KHRoREREREeUDHOXvK7Zt24a1a9fizZs3KF++PPr164fWrVtLHRYREREREeUDTKiIiIiIiIiUxD5URERERERESmJCRUREREREpCQmVEREREREREpiQkVERERERKQkJlRERERERERKYkJFRERERESkJCZURF/BNwsQEVFu8dpBeUUQBKSmpiI2NlbqUCgLTKiKIHkhz8I+Z1RUVPDhwwckJydnmCeTySSIiCh/YBmScywripakpCTMnTsXp06dwqtXr5CYmMhjgHItKioKCQkJUFFRwYsXL/D3338jOTkZMpkMaWlpLIPzEb7Yt4hKSkqClpaW1GHkW4IgQEVFBYmJiQgMDMS6detQokQJrFy5EgAQGRkJY2NjqKoWrmcSMpms0G2TVORFq4qKisSRENGPdvfuXXTu3BmCIEBHRweOjo6oV68ebG1tYWlpCSMjI2hoaEgd5g8hCAIEQeC1RQmbN2/GmjVrULVqVTx9+hRqamrYvXt3huuKTCZDbGwstLS0oK2tLVG0RRsTqiIiNTUVjx8/hpmZGXR1ddGlSxfMmDEDlSpVkjq0fCktLQ1qamrYuXMn/v77b5QrVw59+/ZF7dq1kZycjPXr18Pf3x+rV6+GnZ2d1OF+k4SEBGhra0NVVRWHDx9GeHg4fH19oaamluny8mSTMpI3xzAwMFCYXthuKJKTkxEaGornz5/DysoKlpaW0NPTkzqsfCksLAxr167Fhw8fUKNGDdSpUwe2trbQ1NSUOrQ8Fx4ejtu3b+P+/ftQU1NDlSpVUK1aNRgZGRW5ciMtLQ0RERF49eoV7t27h1WrVuHdu3dQVVWFqakpnJycULt2bTg6OqJUqVKF7gFdUfu9v5cPHz5g6dKlCA0Nxc2bN6GtrY1SpUrBwcEBtWrVgpubG8qXLw8AWLhwIRwcHODt7S1x1EUTE6oi4uHDh5g0aRI0NDRgZmaGQ4cOYePGjbC1tYWGhoZCwSdPJooy+T5o27Yt3N3dMXz4cPFpokwmw6NHjzB48GA4OTlh1qxZUFdXlzhi5c2ZMwehoaFo0qQJ/P394enpiXHjxmX7GV4sMzp69Cj27t2Ljx8/wtzcHPb29qhWrRpsbGwKRW2w/Dd/9OgRZsyYgXv37kFdXR0fPnzAmDFjUK1aNWhra8Pe3l7qUCUn31ePHz9Gv379EBMTAysrK7x8+RIfPnyAsbExnJyc4OXlBVdXV1SsWFHqkJUmr9W+evUqfv/9d9y9exe6urrQ19eHuro6qlatimHDhqFChQpFttzYsGEDDh8+jHLlysHNzQ2RkZE4f/48rl+/Dj09PRgYGGDYsGFo2bKl1KHmqatXryIoKAgRERGoWLEi6tSpU6CPdSmFhoaiX79+aNCgAaKiovDo0SO8e/cOAFCuXDmYmJjgzJkz2LRpE1xcXIrsuSYlJlRFhEwmw/79+3H8+HGcOnUKqampMDExQbVq1eDq6gonJydYWFhAW1sbu3btwsWLF7Fs2TKpw5ZUWloa6tevj2HDhqFt27YAFBOJffv2Ye3atVi0aBGsrKykDPWbXL9+HUuWLMG9e/cQHR0NIyMj1KpVCx4eHnB1dYWZmRlUVVURFxeH2bNno1u3bgW+Vi6vyG8m7969i4EDB0JTUxMlS5bE/fv3oa2tDQ0NDZQsWRJWVlZQV1fH1KlTC3TyLZPJ0L59e6iqqqJXr14oW7YsevTogXnz5uHevXs4deoUFi9eLD4xLarkD2QWLFiA06dPY8aMGShfvjzCw8Px9OlT3L59G7du3cLNmzdRrlw5HD16VOqQv1mrVq1gYGCAcePGwczMDGFhYTh79ix2794NXV1dbNy4EeXKlZM6zB9Gfq1ITU2Fu7s7xowZgw4dOojzk5OTERgYiDFjxsDe3h4TJ06Eo6OjhBF/O/k2R0dHY926dVi5ciV0dXVhamqKhIQE6OjooGXLlhgyZIjUoRY4CQkJuHLlCry8vJCcnIw3b94gLCwMwcHBePDgAd69ewcHBwdMnz5d6lCLrIJ7ZadcUVVVRevWrdG6dWt069YNZmZmKF26NIKCgrBo0SIkJSXBwsIC5ubmCAkJYZUxPhdgdnZ2OHLkiJhQffnEp1SpUnjx4gXKli0rVYh5onr16liyZAlOnTqFSZMmwdvbG/fu3cOMGTOQnJwMCwsLuLm5QV1dHfv27cPo0aOlDjnfkCdU+/btQ7FixbB27VoAwLhx42Bqago1NTXs2LEDDx48QJ06dQpsMiXfzgsXLuDVq1dYvXo1qlatijdv3iAlJQU2NjYwNTXFxo0bcfToUfTu3VvqkCUlb7r1+vVr1K5dG1WrVoWKigqKFSsGW1tb1K9fH9HR0Xjx4oV4TBTElgHy4+L69esIDw/HggULxGbktWrVQq1atdC2bVu0b98eFy5cUEgoioqbN29CVVUVzs7O4jRBEKCpqYlmzZrh+vXr0NXVRdWqVSWMMm+kpaVBXV0du3btwv79+zF27Fj4+Pjg+fPnuH//Pg4dOoRly5YhLS0Nw4cPlzrcAiMtLQ26urqoXbs2nj17hoSEBGhqaqJevXpo1KgRoqKiEBcXBzMzM6lDLdIK5tWdciUqKgqXL1+Gt7c31NTUMGXKFJQtWxb6+vpITk5GeHg47t69i6CgINy8eRNVqlRBt27dpA5bUoIgwMDAAA0aNMCsWbMwa9YstGvXDmXKlIG2tjZevnyJrVu3olKlSoWiOZe+vj6cnJywaNEi1KxZEzKZDC9evEBwcDCuXbuGy5cvIy4uDq1atYKxsbHU4eYb8hvnoKAgtGjRAsWLF8fr168RGxuLXr16wd3dHZqamrh9+zZGjhwpcbTf7s6dO7CwsEDp0qUBAP/++y8sLS1hZmYGCwsL1K9fHzdu3JA4SunJH7zY2tri4sWLGZreyGsyS5YsKU4raMnUl+7du4dSpUqJfQfT0tIgk8mgoaGBsmXLon79+jh79myRSqjkv7muri4MDAxw5MgRDB48WGFeWloa9PT0cPbs2UJRPsjLw0OHDqF169bw8fGBpqYmKlWqhEqVKqFZs2aYPn06jh8/Dl9fX5iYmEgcccGgpqaGu3fvYv78+QgKCkJqaqrYbLhbt26oW7cuihUrJnWYRR4TqiLgwIED2LRpExo3boy7d+8iICAArq6uKF++PExMTFC+fHmUL18ejRs3ljrUfEN+wWvYsCHCwsKwdetW7NmzB5UrV4aenh6Cg4NhZmZWKC6CwOcLu5mZGczMzBAeHo6oqCiULl0adnZ26NixI96+fQsNDQ0YGhpKHWq+oqqqiuTkZGhpaSmM6hcSEiLWXNatWxc3b94s0O3Z5TdKlSpVwpo1a3Dv3j2Ympri7NmzcHNzg5qaGhITExEREQFra2uJo5WWvNYmLCwMp06dQkhICKZNm4bGjRvD2tq6UN1Eyo8LOzs7fPjwAZcvX0bLli2hpqYmJohpaWmIiYlBmTJlxL8LcvKYW1WqVEHt2rWxefNm6OjooEGDBjA2NoaWlhbOnj2LgICAQnPtVVVVRWpqKhITE2FoaCgOvJKamgpBEKChoYFGjRrh+PHjePXqVaE6F74HeRPK8PBwTJkyBbGxsZgyZQpKlSqF69ev49ixY+jTpw/69++PESNGSB1ukceEqpATBAFdunRBvXr1AACXLl3CypUrsXbtWpQsWRLVqlVDjRo1YGtri3LlysHAwICjdX3B2NgYkyZNQq9evXD06FHcuHEDb968QefOndG2bVtYWlpKHWKeUFNTw6NHjzB58mQ8fvwY2traKF68OKpVq4Y2bdoU+Lb934P8YqepqQlXV1ds3rwZvr6+iIyMhCAIYu2Dmpoanj59CnNzc4kj/nYeHh4oVaoUpk2bht69e+PGjRti877t27fj4cOHGDp0qMRRSkueZLx79w4JCQkoVqwYduzYgbNnz8LCwgKVK1eGnZ0dKlSogMqVK0NHR0fiiL+dvb09bG1tsWDBAqSkpKBWrVrQ1taGlpYWtm7dipCQEPzyyy8AiuZrBHr37o2IiAjMnz8fq1atgqWlJVJTU3Hnzh20adMGXbt2lTrEPOXi4oL9+/ejV69eAKDQ1FkmkyEqKgq2trZShVdgyGQyqKmp4fDhw4iPj8eyZcvEJrVeXl7w8/PDrFmzsGPHDnTs2LFI9VHMjzgoRRGQmJio8F6Cjx8/4ubNmzh79iwuXbqEJ0+eQFVVFZUrV4aVlRUGDBiAypUrSxhx/vDixQtcuXIFFhYWqFGjhsK8wjKCjvxp+u3btzFx4kSkpKSgQ4cOiI6OxoMHD3D9+nUYGBhgxowZqF27ttTh5lt37tzBrFmz0K1bN9jb26NHjx7o1q0b6tevjyVLluDNmzfYtm2b1GF+E/kx/+LFC0ybNg03btxASkoKrK2toaqqikePHqFHjx4YNmyY1KHmKwkJCbh9+zYuXryIoKAgPH/+XHySP2XKFDRr1kzqEPPE7du3MW3aNNy9exempqYoV64coqKi8Pz5c/j5+cHPz69QlJnf4t69ezh9+jTu3r2LtLQ0tGrVCh4eHtDV1ZU6tDx1/PhxDB8+HHXq1IGPjw8sLCxgaGiI58+f4/fff4eWlhb8/f2lDjPfk1+fhw4dCj09Pfz222/Q0NBQaFIbGhqKX3/9Fd27d0fHjh0Lzb1JQcSEqpB7/PgxZs+eDRcXF1hbW6NixYooV66cQpOLN2/eICgoCOfPn8exY8ewbdu2Ivv0SN4cZc+ePVi1ahVevXqFlJQU6OjowMHBAZ6envjpp58Kzfu7UlNToa6ujvHjx+Pt27eYMGGCQjL96NEjjBkzRhxcgYX1ZxcuXED16tUVHlTExcUB+Nwfbfr06Th48KDY1n306NFo2rSpVOHmuQ8fPuDcuXO4cuUKYmJiYGRkhBo1aqB169ZSh5avxMXFQV9fHykpKeJrF8LDw3H58mUEBgZi8ODBqFy5cqF6oXZQUBAuXLiA+/fvQ1dXF61atULdunWLVDO/L125cgWPHj2Cg4MDHBwcFOYV5vJ0+/btmDNnDpKTk2FmZgZBEPDs2TO4ublh1KhRbPWQCwsWLMCFCxewYsUKlChRAqmpqVBRUYGamhoiIiLQpUsXDBs2DK1atSpUZUlBw4SqkAsMDMT48eOhqakJNTU1lClTBpUqVYK1tTVsbGxQoUIFhY7R9NlPP/0EOzs7NGrUCIIgIDQ0FLdu3cLDhw+RkJAAmUyGVatWwdPTU+pQv4n8gt68eXO0bt1abL4lTyzlI9gtXrwYc+fOhYuLi8QRS+/q1avo378/Tp06BRUVFfzzzz+wtbWFpaUljIyMoK6ujsjISOzfvx+xsbFo2LAhKlWqVGBH+JOLjY3FgwcPEBMTg1KlSsHS0hI6OjpFrk9Mdr4cKvvChQtYt24dbt68iZIlS8LOzg4tWrQodCOoxsXFYf/+/YiLi0P16tVhZ2fHZuP/b/bs2di7dy+Sk5ORmJgIfX19ODs7iw/mCuuobDdu3EDZsmVhZGSEEydO4MaNG/j48SPc3Nzg4eHBe44cSEtLg4qKijiKZs+ePdGrVy/4+fmJfdNSUlKwZ88e/O9//0NgYCD7pEmMCVUh9uXTr9DQUJw/fx6XLl3Cw4cPxSen5cuXh42NDezs7GBpaQlbW9tC1/wgt54/f462bdti27ZtYk1USkoK3r9/jxcvXuDRo0e4cuUKxowZI452VpAlJSVhxIgRMDIywuzZszPMf/ToEbp06YINGzYU2ZpLOUEQEB8fj8uXL6N+/fo4dOgQRo4cCWNjY1SqVAlOTk6ws7ODvb09LCwsCvzT5y/fK/P7779j//79AD6PXFa5cmU4OzvD0dER5cuXR5kyZVCiRAmJI5aWPLnctm0bVq5cCWNjY3h5eSEuLg5BQUF48OAB6tWrh6lTp4qDNBRkMTExGDFiBC5evAhdXV3xulK1alW4u7vD09OzUDxMyA35OfPkyRO0adMGnTt3Rq1atRAREYF79+7h9u3bePz4MT59+gQdHR0cP34cxYsXlzrsbyKvFXn58iVWr16NAwcOoH79+pg7dy4AICIiQqypotyLi4vD0qVLsX79ehgbG8PV1RWVK1fG/fv3cfHiRbRp0wYTJ04s1DWeBQETqkIus6fHSUlJCAkJwaVLl3Dx4kU8efIEKioqSE5OxsKFC4t8X5mQkBDMnTsXQ4cOzbJGJn2/tIJKXgBv3LhRHB6+QYMGMDQ0FJsNrFixAmvXrsXly5cljjZ/ke87eb8I+Yhu8pdmV61aFTY2NmjQoEGBbN4iCAJSU1OhoaGBzZs3Y+HChejbty88PDxw4cIFHD9+HMHBwUhJSYGRkRHq1KmDBQsWSB12vlCvXj00bdoUfn5+0NfXBwDEx8dj3759mD17NsaPHw8fH58CewMkv67s3LkTixYtwtChQ+Ho6IhXr14hODgY169fx/379xEdHQ0LCwsEBARIHfIPI08uNm/ejF27dmHz5s3iQ8qkpCRERETg5cuXuHfvHl6+fIkpU6ZIHPG3kzcdnzp1KoKDg9GgQQO0adMGZcuWxadPn7BkyRJs3rwZ/v7+cHJykjrcfG/hwoWwsbGBm5ubQrJ9+fJl7N27FyEhIfjw4QOMjY3RtWtXtG/fHtra2gW2PCksis5joyIqfTL17t07pKamomTJkujfvz/8/PwQGRmJS5cu4fTp00V6yGP5TUJ0dDSSk5Pxzz//wMLCAkZGRmIVu1xhSKa+1LRpU/HFvoGBgeKLfE+fPo2wsDD4+vpKHWK+Ib9oyS9cdnZ2sLOzw4ABAwB8Hknz5MmTOH/+PE6dOgVLS8sCl1DJt1He7ycgIAA///wzfvnlF6irq8POzk5sHnrjxg3s37+/UIxWlxdevHiB+Ph4tGzZUkymAEBPTw8+Pj64cuUKzp49izZt2hTY1gDyY//q1avw8vJCx44dAXx+75aHhwdiY2PFGpm0tDQARWe4dPmDKB0dHZQsWRJJSUni76ylpSW+psTd3R1JSUlShppn5DWQx44dw6hRo9CuXTtxnpaWFnx9fXHu3Dls2LABNjY2LCuyERUVhb179yI1NRVqamowNzeHs7Mz6tSpg+rVq8PV1RVJSUlQV1eHmpqamMAzmZIeE6pCTn6SxcbGYvfu3fD398ebN2+gr6+PihUrokWLFvD19UWzZs0KzWhTypJf7EeNGiWOhBgaGoratWvD1tYWVlZWKFOmDIyMjCSO9NukpaXh+PHjqF69uthEq0SJEli+fDm2bduGQ4cOYcmSJYiPj4eNjQ0GDhyIn3/+WeKo848vL1ovXrzAoUOHUKdOHdjZ2UFNTQ21atVCrVq1AHxuqiFPSgqSlJQUnDt3DnXq1IGWlhaaN2+Op0+fQhAEyGQyJCcnQ1VVFZqamnB2doazs7PUIecbkZGRKFmyJJ48eYIqVaogOTlZITl1dnbGpk2bCmwyBfyXNFSsWBEhISEK8zQ1NWFiYgITExPY2dmJCVVRSKa+lJSUhEePHuGff/5By5YtUaxYsQyDBRSGl8LLRUREiEPlf0lVVRVlypSBn58fFi1ahISEBCZU2dDX18f8+fPx9OlT3LlzB8+ePcOhQ4ewY8cO6Ovrw97eHm5ubmJ/RfkxxWRKemzyV8jJnwrOmTMH//77L2rXro169erh7du3OHHiBK5evYoaNWpg9uzZheI9OXnl/v37CAwMRGBgIEJDQyGTyVCmTBk4ODigSpUq6Nu3b4HtF3Dz5k107twZOjo6sLKygru7Ozw8PODs7CxeDD9+/IjExEQAQKlSpaQMN9+Rn1Nnz57FnDlzkJKSgj/++APW1tZYvXo1jh49CldXVwwcOLDAdhK+dOkSevbsCU1NTXHgmitXrmDr1q0K/egEQUBKSgpkMlmhq7VVhjzh7Nq1K7S1tbFy5UqF/RIREYGZM2ciLS0Ny5YtE5tKFSTyh3SRkZFYtGgRjh8/jqFDh6Ju3briy6yLukePHqF58+bi3+7u7nBxcYGNjQ0sLS1RqlQpGBgYSBhh3ouNjcWIESMQGxuLFStWwNDQUCGJ3rp1KxYvXoyLFy9KGGXBcuPGDfE6HBoairCwMDx8+BBv374VX5TcoUMH+Pn5SRwpAUyoiowaNWpg1KhR6NKli8KTjMDAQIwcORJjxoxBt27dJIww/0pLS8P58+dx/PhxBAYGQl9fv0D3CYiOjsatW7fw5MkTBAcH486dO3j69Cl0dXXh5OQET09P1KpVq8gPQJEVeULVvXt3FCtWDL6+vnBxccGcOXOwceNGODo64uHDh2jWrBmmTZsmdbhKCQ8PF9+ZdOPGDbx8+RIRERFITU2Fk5MTGjRogJ9++gkWFhZSh5ov/fPPP5g5cyYEQUDDhg3h5uYGQ0NDrFmzBhEREZgyZQo8PDwKZDM4eRMjefMu+TtxatSoIY4ea2NjAwsLCxQrVkzqcH+4L5teBQcH48iRIzh16hQePXoEALC0tESlSpXg7e1d6F4zcPjwYUyZMgXOzs7o2LEjrKysoK6ujsuXL2PLli2wt7fHzJkzpQ4z35O/ZqFx48bo0aOH+OJnmUyGly9f4v79+7h//z6CgoLQvHlzdOzYsUCWJYUNE6pCTF6w37p1C35+fvD390fFihXFp6jyk2/s2LGIiorCsmXLCmTzpLwUFxcnDtRhYWEBe3v7DCMTyUdnKgwCAgKgp6eHpKQk3LlzB9euXcO9e/fEobErVqwIPz+/DC82LuoEQUD16tWxcOFCeHl54datW+jRowe6dOmCgQMHYsuWLThw4AD++uuvAl3zKwgCIiIiEB4ejmfPnuHWrVsICQnBgwcPEB8fD1NTU1SqVAkjR45E1apVpQ43X7l58yY2btyIkJAQvHr1CgBQpkwZTJ06Fe7u7gX65kd+85acnIyQkBCcO3cOly9fxtOnT5GSkoISJUrAwMAAvXr1QuPGjaUO94fL7F1AiYmJOHv2LE6cOIF///0XXbp0wcSJEyWK8PtISEjAgQMHsG7dOjx9+hR6enrQ0NBAbGwsWrZsCT8/P470l0NxcXFo1aoVpk6dCi8vr0yXSUhIgJqaWqFqOlqQFay2BpQr8qdkqampMDQ0xJ07d1CxYkXxpXDA54LfzMwMoaGhRT6ZSklJwcSJE3Hs2DFxlDtTU1OYm5vDwcEBjo6OMDExKfADd3z5BPXPP//E9OnTUbduXXh6eiImJgZv374Va6+OHTuGmJgYiSPOfx49eoRSpUrB1NQUALB8+XJoa2tj2LBh0NbWhouLC9asWVNghxGXyWTiwBvyJp+WlpZo0qSJOErZ48ePcfv2bZw+fVp8qTF9vnEODw9HlSpVMH/+fLx+/Rrv37+Hvr4+ihcvDmNjYxTE55iRkZHo1q0b1qxZgzJlyuDZs2ewsLBA9erVUb16dXGZK1euICgoCMePHxebOxa1l43KZDI8fvwYR48ehYaGBhwdHeHm5oaGDRuiYcOGmD17NlJSUqQOM8/p6uqiY8eOaNWqFUJCQvDkyRO8f/8eNjY28PDwKPL3GDkhf1gRFRUFFxcX7Nu3D5UqVYKpqWmGwbEKcj/MwogJVSEnCAKcnJxgaGiIjRs3olq1agrNdB48eIBz586hZs2aEkYpLXkBdv78eVy4cAETJ06EpaUl5s+fj9TUVISFheHYsWPQ19dHYmIibt68WeD6PWQmJCQE8fHxMDQ0BABoaGiIncnt7e3h7e2Nnj17sg9VJkqUKAEzMzOMHDkSFhYWuHz5MgYOHCgOXXvmzBmULFmywF7w5MlUVFQUdu7cia1bt8LBwQFLlixBuXLloKWlhSpVqqBjx454+vQpKlSoIHXIkpI/pDh16hS2b9+O58+fw9DQEHZ2dnBxcUGVKlVQvnx5sVaqIHYgf/v2LVxcXFCmTBncuXMH7dq1g6OjI+zt7VGrVi3UrFkTxYsXR+PGjdG4cWNMmTJFTByLQjIlTxojIyOxfv16rFq1CmZmZnjz5g20tLSwZcsWXL58GT/99BPKly9fKJIL+TbHxcVhzZo1ePToEYYOHYpKlSqhcuXK0NfXZ9PxXJKfK8uXLxff+xcREYF69erBwcEBZmZmKF68OHR1dQtkOVKYFfy7QsqWiooK1NTU0K9fP0yfPh0tWrRAjRo14OrqCkEQsGPHDpiamorD3hZF8ov+4cOHUaNGDXTq1AlpaWmwsrJC9erV0aVLFwwfPhzBwcGYO3dugU+m5Dd/SUlJsLS0xPXr12FnZ5dhOW1t7ULx8tHvwdjYGEOHDsWSJUvw/v17DBw4EP369cO1a9fg7++PsLAwdOrUSeowlZaWlgZ1dXVs2bIF//77L2rVqoXu3bsD+NzkdePGjdi8eTM2bdrEGyZAfI/frFmzoKGhARsbG0RFReH8+fM4duwYdHV1xZcfjxgxosC9yFUQBFSpUgWTJk0C8Hkksi5duuDNmze4cOECjhw5Ak1NTZibm6NGjRpwcXGBq6troUgackqeXKxevRqBgYGYMGEC2rVrh99//x2vXr1CWloatm3bhpcvX2LChAmFapjrOXPm4Pjx42jcuDGsrKxw7NgxLF26FM+fP0ft2rUxder/tXffYVFe2+LHv0PvIAJKU+lFpAiIvWKLaIzGFk008RgTU4ymHEuMMbElRtKMNR49MbYUY2I01ogduwgWQEAEQaQXQWBgfn/4mznxmHPOjZqMM7M+z3Ofe+8wxAW88+693r322rNxcXHRdpg6QX1NzJw5kyFDhpCYmEhCQgKfffYZKpUKT09PIiMj8fPzIy4uTmcbH+kj2UNlQDIyMvjpp59ITEzk5s2b3L59m4iICN544w2DfsKsHthGjhxJ165dmThxIuXl5YwYMYKpU6fSv39/duzYwT//+U9mz55NcHCwtkN+IOqf94UXXiAhIQGAPn360LFjR4KCgmjZsiUODg5ajVFXVFRUoFKpNK30X3nlFS5cuMDIkSMZOXKkZvVP16ivkdjYWEaNGqU5cwruTByzs7N56aWXCA4OZt68eQZdw6+eSP/666/MnDmTdevW4evri0ql0pRFnjt3jtTUVIqKiti5c6dOPpSpq6vTlBxdvnyZwMBASktLyczMJC0tjcuXL5ORkcHNmze5du0ab775JuPHj9erxOG/Uf+c3bp1Y+zYsTz99NOYmpoydOhQoqKimD59OnPmzOHEiRMsXbpUbxq61NTU0LFjR95991169+5NY2Mjjz32GA4ODjzxxBN8+umnTJo0ieeff17boeq0kpISzpw5Q0JCAqdOneLq1av8+uuv0lnzEaJ7d3Xxf6K+uVdVVWlKDcaOHcuUKVO4du0aBQUFBAQEYGFhgZmZmcEMer9HoVCgVCoJCgri1KlTTJo0CVNTU3JycggJCQHA19eX/Px8nZwI/Tv133ncuHFERESQmJjImTNnOH78OA4ODrRq1YrAwEBatGjBgAEDpB32v1EqleTk5HD9+nWMjY1p3rw5CoUCOzs7/v73v2NlZaVzKxD/Tn12XX19/T1Plo2MjPDy8mLSpEmsWLGC4uJigx7U1Z+n3NxcWrduTfPmzTWv+/j44OPjwxNPPEFtbS25ubmYmJjo3P22srKSH3/8kcDAQGxsbBg8eDDfffcdISEhREZGaprWqPdfXrhwgV69egHo3M96vxQKBRUVFRgbG2Nvb4+pqSl1dXVcvnyZKVOmADBgwAB27dqFUqnUcrQPTv0g4cSJE9ja2tKtWzeMjY1Zvnw5lZWVfPrpp0RERFBYWMi+ffuYMGGCQVwHD4tSqSQ7O5vk5GTc3d2Jjo4mNjaW2NhYAK5fv27Q991Hke7PDsV/NW/ePA4dOoS/v7+mu469vT2ff/454eHhjB492mAGvP/GxMSE3r1789xzz7Fx40a6deuGg4MDN27cwNPTkwsXLlBTU6PzDSl+S30ArXpF7vTp0xw5coSzZ89y7tw5zdNVcYd6r93OnTuJj48nLy8PCwsLAgMD8fb2pnXr1oSEhFBcXKyZVOkylUqFv78/33//PX379r1nQ7SJiQl5eXkGP6ir751du3Zl7969nD59+q6uXOoiEHNzc3x8fO76Hl1RWlrKL7/8wty5c3Fzc8Pa2pqzZ8+iVCpxcXHBwcEBKysrmjdvTtOmTfHy8tIkloawf0rN1NSUoKAgvv/+e4YOHUpmZiZmZmYEBwfT2NhIcXExtbW1mutAl6n/rrW1tTRp0oRbt25x4cIFNm/eTP/+/YmIiKCurg5LS8u7GmGJ/0w9F8vJyWHu3LkcP34cR0dH8vLymDhxIt27d8fY2JiQkBDc3d21Ha74N5JQ6SH1h/L69evs3LmTBQsW0K9fP83XlUol5ubmvP/++7Ru3Zrw8HDtBatl6qdsly9fJjQ0lHXr1mFubo6bmxtt2rThjTfeICwsjJSUFM2TIX1RV1dHZmYmFhYW2NnZ0bNnT3r27AlAdnY22dnZWo7w0aKeQHz++ed4eHiwZMkSvvrqKw4fPkxWVhZbtmzBzc2N2tpaXn/9dYYMGaLliO+fSqXCzs6O/v37M3fuXGbPns2wYcPw8PDA1NSUy5cvs379eoNuZvNbJSUlmntsZWUlN27cIDIykubNm2Ntba3zk8kWLVrw2WefkZmZySuvvEJtbS3z5s3DysoKf39/wsPDiYyMpGnTpqxdu5bMzEx+/vlng3pY19jYiKWlJX369GHatGmMHz+e27dv4+vri6OjI6dOnWL16tV0795d26E+VDExMSxdupQhQ4ZQXl5ORESEZr9lamoqe/fupXfv3lqOUjeoPytTp06lrq6OhQsX0qRJE55//nkCAwM5ePAghw8f5oMPPjDobRqPKkmo9JB6EDt58iTNmzenXbt2d329adOmzJ07l9zcXHbu3GnQCZV6kjx9+nReeOEFevfurbmpvfjiiyxZsoTMzEx69+7NqFGjtBnqQ5WZmUl8fDxJSUmUlpbS0NDAypUrNW3iW7ZsqTc1/g/Db58c5uXlsXjxYoKDg4mKikKhULBgwQK+//57Zs6cSf/+/f/juSG6Qv0ZiI2NJTc3l3Xr1rFt2zbc3NywtLQkMzOTdu3a8corr2g50keDhYUFCxcuJCsri0OHDvH+++9jbGyMj48PMTExREZGEhwcrNOreeoOoIMGDSIiIoLg4GCOHj3KwYMH2bp1K//85z8xMjLCzMyM119/HfhXcxN9Vl5ejr29vWYsefzxxzE2NmbFihXk5uZibW1Nr169KCgooFevXrzwwgtajvjhsre3Z9myZaxbtw6FQsHw4cNp2bIlf//739m/fz++vr48/vjj2g7zkad+uHvy5EmuXr3Kl19+SVhYGOXl5dTW1uLn50fLli1Zt24dBw4ckITqEaTfdzoDpb6xm5ubc+vWLZKSkujRowcqlQqlUompqSlKpZJmzZqRl5en5Wi1Lzs7m7y8PFxdXTEyMqKhoUFzcOuSJUsoLi7G09NT22E+MHVSUFhYyLRp06ioqOD555+nadOmTJ06FUtLS1atWkV1dTUff/yx7J36DfXv7vTp07Rq1UozMc7PzyczMxOALl260KFDB7p166Y3nZfs7Ox49dVXee6550hISODcuXMUFBQwfPhw+vfvr/N7xR4WMzMzBg8eDMDEiRO5du0aSUlJJCYmsmfPHtasWcOAAQNYvHixzq/azJgxQ/N/t2zZklGjRqFUKrl06RJnzpzB0tKSxx57DECnDy/+vzh79iyffvop3bp1w8fHhxYtWuDk5ERcXBxhYWGcOnWK1NRUzMzM8PHxoVevXtjY2Gg77IfO1dWVt956S/P/l5WVUVNTw4ABAxg3bpxejJ9/leTkZDw8PDQls1u3bsXDw4MWLVpgZmZGjx49OH78OM8++6zO30v0jSRUeua3H7DY2Fg+/vhjzcpDSEiIpo3tsWPHOHv2LM8995w2w9Wq356hERQURGpqKqGhoXdNAqysrLCystLsn9FljY2NGBsbs2vXLkpLS/n8888JDAwkISEBe3t7vL29iYmJ4f333+fEiRN07dpV2yE/MtQPKdRd+zIzM3F0dCQ5OVmzH0LdjOL48eOaybWuUd8/lEolJ06c4OjRowQFBdG1a1fi4uKIi4vTdoiPpC+++ILmzZsTGBiIp6cnAQEBBAYGMmLECMrLy7l06ZJmT536c6hL1NdFXV0dFy5cICcnh7q6Ory8vHB3d6dp06a0adOGNm3a3PV9+j7Zu3HjBklJSRw/fhxjY2O8vLwIDQ0lNDSUNm3a0K9fP5544glth/mnaWxsZP/+/WzZsoW8vDy8vLzo1KkT/fv357PPPtN2eDpFPcb4+PiQl5dHZmYmzZo14+DBg8TExGBmZkZtbS0VFRWa40x08V6izySh0jO/HcBMTU2ZPXs2CxYs4Mknn8THx4eWLVvi6OjI7t27CQ8Pp3///lqM9tGwadMmEhMTOX78OElJSXTs2JGAgAA8PT01G/H14aalvjbOnTtHaGiopqRvz549tG7dWnMo508//cTp06clofod6vLYJUuWsHbtWurq6jS/19raWi5evKjTDynUA/SqVatYu3YtcKekCcDb25vOnTvTt29f7OzssLOzk0OfgeLiYjZt2oSxsTEmJiZ4e3sTFhZGYGCgpjlD+/btNe/XxXuJ+rrYtGkTX3zxheaasLW1JSAggLCwME1Jo/pAV0PQv39/+vfvT0lJCQcOHODXX39l7969fP/991haWuLr60vbtm1p06YNrq6uBAQE6NXvZvny5SxbtoxWrVrRqlUrcnJymDNnDosXL2bOnDmyd+o+xMTE4OLiwltvvcULL7zAqVOneP/994E7q1UXLlxg3LhxgP4/sNA1cg6VHtmyZQsuLi507tz5rjND8vPz2bFjB6dOnSIvLw8jIyPatm3L1KlTsba21nLUfz2VSkVdXZ3m7Bz17+bcuXPk5ORgZmZGs2bN8Pb21pzL1LlzZ50ugVN/zBUKBV988QVbtmxh5cqV+Pj40L17d8aMGcPf/vY3ysvLGT58OM8++ywjR47UctSPpitXrpCYmMiYMWP49ttvWbRoEaNGjeLs2bOas950veSvQ4cO9OnThyFDhrB582bS0tKws7Pj6NGjmvcsWbJE7xq1/BHqFe7c3FwWL17MiRMn6Ny5M9nZ2Vy7do2SkhL8/PwICQmhbdu2dO3aVecT0Pbt29OjRw9efPFF6urq+PXXX/n1119JSUmhsbERlUrFmjVr7kog9dlv76u/lZWVxd69e0lISCA5OZm6ujoANm7cSERExF8e58OkXq1MT0/nqaeeYsKECUyYMIHq6mqUSiUpKSl89tlnFBUV8fXXX8vh8P/D75XtXb9+nZkzZ5KSkkJVVRXt2rWjtraWy5cv88wzzzB16lRJph5BklDpkQEDBvD0008zcuRIFi9ezO3bt2nbti0hISF4eHjQ2NhITU2NXj0hux8HDhwgLS2N55577p6nxVlZWRw7dozExEQuXbqkOVdk3759WFpaainih+vq1asMHTqUbt26MXr0aMaMGUNCQgLNmjVj/fr1fPbZZ/z00086P/l7WJRKJSYmJmzatIni4mKef/55TelscXExM2bM4MiRI/j7+/O3v/1Ns39E16gThFOnTjFx4kS2bt2Kp6cna9euJTExkYULF7Jr1y4WLlzIO++8Q1xcnOb3YIjUZcDPPPMMzs7OPPfcc7Ru3RqA+vp6tm/fzrx586iqqkKlUhEQEMC8efM0Z9vpmrS0NEaPHs2WLVt+d0/MqVOn2L59O6+88gqOjo4Gsb/j6tWrmhLI9u3b/8cGT2fOnGHPnj288sorWFlZ/bVBPmTq637VqlXs2rWLL7/88p6D4C9dusTEiROZPHmyHL3xP+zYsQMzMzP8/Pxo2rQpFhYWmJiYcPPmTY4cOcKRI0c0+7gjIiL0uoRU10nJnx75+uuvadKkCQBHjhwhJyeHn376CRcXF3x9fWndujXBwcF4enri7u5uUOeD/NaqVato0qTJXcnUrVu3sLa2xsvLCy8vL5566ilUKhXnzp0jPT1dp5OpI0eOUFFRgb+/Py4uLrRq1YoPP/yQDz74gGeeeQaFQsHcuXMxMTHh6NGjjBw5UpKp31B3KcvPz2f9+vVUVlby2muvYWFhQdOmTVmxYgUVFRXU1NToxe8tJSWF4OBgzSTp6tWrADg4ONC/f39++OEHiouLDTqZgn+V7l2+fJlRo0bRunVrzYGtpqamDB48mPPnz2vOc5s8eTI//PCDziVU6sSoSZMmdOvWjczMTDw9PamtrQXurM6YmZkRFRVFVFSU5vv0PZk6cOAAixcvJi0tDXNzc3755RcWLVqEtbU1P/74IyUlJXTo0IFevXrRtm1b2rZtq+2QHwr1vKGqqgorKyvq6+uBO8dwGBkZYWJigqenJ61atSI1NVWboeqEqVOnAuDu7o6Xlxdt27YlKiqKwMBAnnjiCZ544gkaGxtRKBR6/5nSdZJQ6ZGamhq++eYbrK2teffdd3F1deXkyZPs2bOHixcvcuTIEczNzTUf3Llz5+pkPf+DSktLY9asWcC/JgsbNmygffv2hISEaG5eRkZGRERE6HyJxty5c7l16xZ+fn54eHgQHByMr68vU6ZM4fz589y4cYOysjKMjIyYNm2aPAH7D55++mksLCxYs2YNu3btYvLkyTz22GOYmZlp9hTpMvVEydXVlfz8fM6dO0eXLl24fPkyMTExAJqJdWVlpTZDfWQUFxfj4eHB2bNn6d+/vyb5Vt9X+vbty9SpU3njjTcYNWoU3377LcXFxTpVEqr+WdavX8+hQ4dobGykQ4cOmpJp9Xvq6uo0+8gMweLFi2nVqhVLly5FpVLxxhtvsGTJEq5evao50Pfrr7+mZ8+evPfeezg5OWk75IdCPanv1KkTX375JUlJScTGxt518HdRURHXrl1j+PDh2gpTJ5SUlBAQEMDVq1cxMzNDpVLx3Xff8dlnn+Hk5ERYWBgdOnSgbdu2uLq6Ym1tfc8B6+LRYRh3PgOwc+dOPv74Y7KzszExMUGpVNKrVy8WLVqkKUFKSUkhMTGRhIQEioqKDDKZysjI4NatW5puVAqFgoaGBhYvXsw///lPFArFXb8XdRmUrqqqqqK6upqbN29SVFSEubk5mzdvxtramvDwcIKCgoiIiKBFixbExMTo9Ercn83JyYkXX3yRfv368emnnxIfH09WVhYTJkzQqzLarl278vnnn7N+/Xq6dOmCqakppaWlwJ3a/jNnzsj+uv+vadOmdO7cmZUrV+Lq6krPnj1p3rw55ubmmrI/W1tbTE1Nsbe3p7S0VKeSKfhXop2VlYW7uzu7du1i3759REZG0qNHD7p3746np+ddCZa+y8jI4OrVqyxcuBAPDw8AXnvtNZ599lliY2N57733UCqV7Nu3jzVr1tCtWzdGjBih5agfzKlTpyguLqZv374AtGvXjo4dO/Lqq68SGxtL9+7dCQoKor6+nvnz52NlZUWPHj20HPWjzdHRkY0bN2rKJ11cXHjxxRe5ffs2iYmJHD16lI8++gilUombmxvdu3e/69gC8WiRPVR6YtCgQXh4eDB06FDs7Ow4c+YMn332Gc888wxTpky556mGel+IoVmxYgU///wzmzdv1tSyHzlyhClTpvDLL7/o3GTn/yI/P59vvvmGK1eu0LVrVyIjIzl79ixbt24lKSmJxsZGnJ2dNd3JXn75ZZ1OIv8sv02uKyoq2L59O+vXr6dJkyZMnjz5rnInXaVejbhx4wbnzp2jX79+bN68mdmzZ9O7d2+uXLmCkZERP/30k0E+kAHuOUKhrq6O9957jz179uDl5UVgYCBKpZJz585RWVnJ5MmTGTJkCG+88QZVVVUsX75ci9Hfv5ycHPLz88nJyeHixYskJSWRkZFBTU0NTk5OREVFER8fbxD3jhUrVrBt2zY2bdqkeZhy+PBhXnvtNTZs2IC/v7/mvS+88AJmZmY630Z83LhxmJubs2LFCg4cOICrqysuLi6sWLGCgwcPUllZSWVlJTU1Nfj5+TF79my9uCf+mdRjSn19PYcPH2bFihWYmpryt7/9TXM4/NWrV7l48SL79u3DwcGBWbNm6cUxLvrI8GbUeujy5cvk5OTwwQcfEBQUBEBUVBQlJSXs2LGDyZMnA2i6MCkUCoNMpuBOi/BevXphZWWlSSp/+eUXQkJC9PaQUldXV5599lk2b97M4sWLadmyJdOmTWPdunUAJCYmcuDAAXbt2kVZWRmvvvqqliN+NFVWVlJcXIyjoyPV1dV4e3vTr18/duzYwbhx41i6dKlOt5r/bROB5s2b069fPwCeeOIJ8vLy2L9/P15eXr/bzMVQFBQUsGPHDkaPHo2ZmRlVVVVYW1szbdo0oqKi+Omnnzhy5AiWlpZ4e3szYsQIfH19mTRpEpmZmUyfPl3bP8J98/T0xNPTk3bt2jFw4EBNWdeVK1c4ceIESqUSIyMjnV/V/79QjyM2NjaacWTnzp20adMGHx8fVCqVpgNgixYtSEtL03LED66qqkqTPH7yySc8++yz+Pv78+abbxIXF8fFixepra0lICAALy8vnJycDKIxyYNQf05MTU3p0aMHfn5+rF69mjfeeIMePXowYcIE/Pz8aNmy5V0dVfX986WrZIVKD3z22WckJCSwceNGzM3NNTf47777jvj4eI4ePSo3tv8vKCiIZ599lueee05T0x4bG8uYMWMYN24cjY2NgP7esCoqKvjiiy9ISkriscce45lnnrnr6/X19QbfbEBNffRAWVkZjz/+ONbW1qhUKnJyclAoFHh4eFBdXU1FRQU2NjasWrWKwMBAbYf9QIqLi0lMTCQjIwNXV1dCQkLw8/PDxMRErg3uHE2xZs0atm3bxsmTJ1mzZg09e/YkJCQEf39/zX2jtLRU0yAoMTGRDRs2MHjwYLp27aqTD7MKCgr4/vvvUSqVhISEEBAQgJubm2ZMqauro66uDhsbG4MYa0JCQpg0aRJPPfWUpnnLb8cR9QpCbW0tY8aMoWPHjkyZMkW7QT8AlUrF119/zYcffohKpUKpVDJy5EhGjx6Nn5/f774f9L8xyYP67Wflt6tOp06dYtmyZVhYWDB+/Hi9aWii7ySh0gOPP/44nTt35vXXX8fIyEgzEZw9eza5ubmsXr1a2yE+Eq5du8bTTz+tSZpatGhBUFAQX3/9NV9//fU95Qn6tKze0NCASqXCxMSE4uJivv/+e1avXk3Lli2ZMGGCHMD4X6SlpbFkyRLNQc+tW7fG2tqa27dv4+XlhaurK6WlpTRv3lzboT6Q8vJypkyZwtGjR7G1tcXa2hoLCwuaN29OSEgIYWFh+Pr64uXlpe1QtUr9pH7nzp2888471NTUYGRkhLe3N5GRkURFReHn54ednR2Ojo4oFAoqKyuxt7fXduj3pbq6mldeeYUjR47g7OxMYWEhTk5OeHt706FDB8LDwykrK6N79+4GsQfzypUrDBo0CFdXVxwdHfHx8cHb25v4+Ph7zpnKzc2lX79+fPPNNwQHB2sx6gdXU1PDqVOnWL9+vabBlfqzEBkZSa9evejevTsuLi7aDlWnqZOs4uJiPvjgA7Zv386TTz7JuHHjDP7e+6iThEoPBAcH89VXX92TEPTq1YsRI0bw/PPPaymyR0tdXR0pKSmamuT09HTy8/MpKyvD2toaf39/oqKi6NChg861Nr4fZWVlLF26lMzMTGJjY4mLi9Or5goPYvr06VhZWdG/f3+93wegfnDwzTff8Mknn/DOO+8QEhKiOew6LS2NwsJCampqcHNz45tvvtF2yI+EsrIyHBwcyM7O5vjx4xw+fJgzZ85QVFSEk5MTLi4uzJo1SzPB1rWVG/V1sX37dt577z2mT59OYGAgixYtwtjYmLq6OhITEwGws7PjxIkTWo74r3H79m2OHTvGxYsXSU5OJjc3l7KyMiorKwkODiYoKIjQ0FBCQ0NJS0tj2rRpnDt3TtthPzQLFiygqKiI4cOHc+3aNc6fP09SUhJZWVnU19djbW3NCy+8wIQJE7Qd6iPt0qVLqFQqbGxsyM3NJS8vDxsbG+rq6sjMzMTc3Bxra2t27drF6dOnmTx5Mi+++KLO3UcMiSRUOu7s2bOMGjWKvn37EhERQVhYGCEhIRgbG9O6dWu2bduGr6+vZv+UkZGRfBj/v6KiIq5cucLly5dJS0sjIyODGzduaFZzJkyYwLhx47Qd5n1TT/jy8vK4ceMGTZo0QalUkp6ejlKpxN7enuTkZDZu3EhxcTHPPPOMdBD6/yZOnEhKSgrFxcVYWFjQpk0bunTpQs+ePfH19b3rvQ0NDZo2+7pIvedlypQpWFpaMmfOnLtK++rq6khLSyMxMRETExOd/kw8KPVkprCwkIkTJzJnzhxNx1CA2tparly5QmJiItu3b2fRokX4+Pjo5L4idUI1efJkjI2NiY+Pp7S0lLfffpvo6GieeeYZXnvtNa5evcr7779PWFiYTv6cDyo3N5eUlBTOnTvHpUuXuHHjBrW1tdja2pKfn09ERASrVq3SdpgPhUqlory8HGNjY2xtbYE794ebN2+SnZ3NlStXOHjwIP379+fJJ5/UcrSPrvLyckaOHElBQQHV1dU0bdqUpk2bUlhYSF1dHS1btqShoYHq6mpatWqFk5MTI0eOJCwsTK8qZ/SN7hVzi7vY2dnRs2dPsrOzSUpKwsTEBDc3N4yMjLCysqKqqgrQ3z1Bf9Rv90g5OTnh5ORE+/btUalU5Obmkp6eTnp6OomJibRo0ULL0T6Yp59+WvO03MLCgitXrmhWGWpraykvL8fLy4vIyEiuXr36u7Xwhmru3LncuHGDjIwMLl26RFJSEitWrCA+Ph4HBweioqKIjY2lS5cuOt8ZUn1v6NGjB4mJiZrPiPo8NjMzM0JCQgxi1fZ/UT+Mun37Nrdv32bixImMGTOGZ599FktLS8zNzWndujWtW7dm/Pjxmu/TxfuvetJWVFSk2RBvYmLChQsXGD58OEZGRgwdOpSlS5dqSv108ee8H78dRzw8PPDw8KBfv340NjaSnp7OuXPnSElJoaamRq/O9VMoFDg4OHDhwgVyc3OxsLDAwcGBsLAwPDw86NSpE4MHDzaI0s8HsWfPHrKysjAzM6NPnz74+vri6upKdHQ0Hh4elJeXa8qF6+rqUKlUmmMJJJl6dMkKlZ6or68nNzeXkydPsnfvXrKysqioqMDR0RE3NzeCgoIIDAykU6dOms3Sgv94AnltbS0mJiY6e/NSr1yampri4eFBWFgYffr0ISAgQLOfw8XFhfz8fFQqFZ6entoO+ZFVV1dHcXEx+fn5pKamcv78eVJSUsjOzqauro6QkBC+++47bYd5X9QrLnl5eSxYsID9+/cze/ZsevXqhYODw10TZCk1uVtRURHLli1jy5YthISEMHnyZMLDwzE2NqahoUEnm0/8u/r6ehYuXMiJEydYuXIllpaWtG/fnoMHD+Li4kJqairjx49n/fr1tGzZ0iCvkd929Pv3hLK6uhpTU1Odb+aiXnm8efMmq1evZtu2bdy+fZvq6mo6d+7M9OnTyc/Pp3PnztoOVSdcvXqVDRs2cOLECS5fvoy9vT1ubm74+/sTHh5OQEAAzZo1w9HRUZJTHSIJlZ6qqakhIyODw4cPc+DAAUpKSrh+/brOt3b+M6kHxt9LsHRNRkYG8fHxmoQJwMrKijZt2hAeHo6fnx/e3t46/3P+Wf69S1V9fT1GRkaavSOFhYVkZ2dz5swZbG1tGTt2rDbDfWDHjh1j5syZ1NXVUVJSgr+/P+3atSMmJgZ/f3+cnJxkYP+N35a2nTp1io8//piKigomTpxIXFyclqN7ONT3wjNnzvDWW2/xyiuv0K5dO4YOHcpbb71F7969+fbbb1mxYgXHjh3TdriPDJVKpbk+9OX+qi4ze+eddzh9+jR9+vRh3LhxvPHGG1hZWTFq1CjeeOMNnnvuOZ577jlth6tTKisrOXDgAPv27ePEiRMUFxdjbm6Ov78/bdu2pUWLFvTq1Uvnmx4ZAkmoDIC67jk5OZmoqCiDnRipBzpdXXW6H/X19eTk5HDixAl+/fVXrl69Sk1NDdbW1ri7uxMYGEhAQABdunSRlcvfsWvXLpYsWQJAeHg4oaGhBAYG4uHhgYODg95MmBobGykpKaGoqIjk5GSOHTvGuXPnuHHjBnZ2djRr1ozJkyfTs2dPbYf6SCopKeGTTz7hm2++oXfv3kycOFGnSyTVCcGlS5fw8fHhwoULmJubExwczKuvvsrx48dp06YNFy5cYODAgcyYMcNg9nYY4jiiFhUVxd///neGDRsGQPfu3Rk3bhxPPfUUkyZN4vbt23z++ecylvwPjY2Nms/Yv69qqs/827t3L8nJyVRVVfHtt9/etVdTPJokoRIGp7CwEGdnZ4MsT6muriYzM1NWLv8L9UB3+fJlxo8fj7OzM/7+/uzYsQOlUomlpSWBgYG0adOGkpIS5s2bp6lv1yelpaVcvXqVc+fOsWvXLiZNmmTQ14j6uigqKiIrKwuFQoGpqSlpaWmaJi+//PILe/bsoVOnTnpxXEVERAQzZszQTKABcnJyWLZsGRcvXiQuLo4nn3wSBwcHg2tIYWjjyNWrVxkzZgyLFi2iQ4cOlJSU0LFjR7Zs2UJwcDC7d+9mwYIFbNmyRRKqP0h9xl95eTm3b9+mWbNmmq9dvHhR51vuGwrdL/IW4n9IT0/n4MGDdO3albNnz/Luu+9y4sSJu1qEG8pBhFZWVpoGAxMnTrxr5VLcoZ4Y/vjjjzRr1ozPPvsMc3Nz6uvrCQwMxMbGhk8++YSzZ8/SpUsXvUimioqKOHr0KBcvXqSiooK2bdvy+OOPExERQUREBCNGjMDKykrbYT4SXn/9dVJSUlCpVFRXV9OsWTMsLCyorKzEw8ODuLg4zUGc6kPWdVFOTg7Ozs6Eh4ff9bqnpydz5869J3nS92TK0McRc3NzXFxc2Lx5Mx06dODgwYM4OzvTsmVLAPLz82loaJBk6j6oPzurVq0iIyODTz/9FGNjY4yNjQkODjaYpF3X6eadXog/oKKigo0bN7JkyRKaNGmCm5sbe/bswd/fn+bNm2u66QDcuHEDExMTnJyctBz1n0/dsalLly7aDuWRoh7cTpw4QY8ePfDw8KCgoIDc3Fx69uzJwIEDyczMJC8vj/nz52s52vunLtE6c+YMn376KcePH8fX15fs7GwKCgrw9vbm/PnzPPnkk3I+Gf+6LkaOHEl1dTVubm54eXlRWlqKjY0Nnp6e1NfXo1KpMDMzA9DJZEp9XZSVleHr68vWrVuZOnWqpsRNffyGoa1IGfo44urqSt++fVm2bBnLli3jyJEjdO7cGWtraxISEvjll1803SDFH6O+bg4cOEC3bt00949//7p4tOne3V6IPygyMpKlS5dy8uRJ3n//fUxMTJg+fTouLi4EBQXRpk0bQkJCsLKyYs6cOXTt2pW///3v2g5baImRkRFKpRIbGxvNfkNTU1MuXbqk2RfTu3dv5syZQ2Fhoc4+kVUP0h999BHGxsaa0p0nnniCoKAgKisriY+P5/bt27zwwgtajla71E+IS0tL8ff3x8fHR/PabzeL63o3N/hX4vjpp59y+PBhLCwsuHHjBr179yY6OlpzTIAhJVNguONIXl4eFRUVtGjRgnHjxlFTU8PatWuprq4mLS2Np59+mtTUVNq3b8/TTz+t7XB1kpGREfX19WRkZPDOO+9oOxxxnyShEgbB398ff39/fvrpJ95++22qq6vZs2cPR44c4cCBA5iZmWFpaUljYyN9+/bVdrhCy4yNjQkPD2fp0qV07txZM1FWJ0/GxsaUlJTg7e2tzTAfiJGREVVVVSQnJ/PPf/6TwMBA4M5eiYkTJ9KtWzd69+5NYmIio0aNwt7eXssRa486eVq9ejVffvklnTt3pm3btrRu3RpPT0+cnJywsbHRiyRDnWi//PLL9O3bl/Pnz3PmzBl27tyJQqHA39+fLl260K5dOzp06KAXP/P/lSGNI4WFhXz99dds27aNW7du0bVrV9566y1ee+01OnXqxPnz58nOzkapVNKvXz+GDRt2z8qK+N/UZcGnTp3CzMxMp8cUQycJlTAI6jKWzZs3a16LiYkBoKqqisOHD5OUlER4ePg9ewaE/lNPmFUqFUqlElNTUwYPHszVq1e5fv06ISEhNG/enDVr1tClSxf+8Y9/0LJlS50s6YJ//byZmZk4ODhQVlaGkZER58+fR6lU0qZNG1QqFV26dCE+Pt6gkyn412rM448/jrm5OSdPnmTVqlXcvn0bd3d3wsPDiY6Oxt3dnbCwMGxtbbUc8YNpaGggLCyM8PBwHn/8cUpKSsjOzubChQucPn2aH374gRUrVnD+/HmDmkQb0jjyz3/+kw0bNtC2bVvs7OzYtm0blpaWvPvuu0RHRxMdHQ3cKYW8fPkyO3fuZNCgQVqOWveox5DAwED+8Y9/6GzFg5Auf8LA3Lhxg+TkZM6fP4+LiwsDBgzA0dFR22GJR0BRUdE9ex5KSkoAcHR05P3332f9+vWYmJjg6enJa6+9pvNPoW/dusXTTz+Ni4sLy5cv55NPPuHw4cN899131NXVER8fz8mTJ/n++++1HeojR93QZf/+/ezZs4fi4mIaGhrYunWrZrVP16iflq9bt468vDyio6Px8vKiefPmmvLXmpoa8vPzKSkpISoqyiA3zBvCONK5c2eGDh3KlClTAFiyZAk7duxg7dq1mJiYsHfvXg4fPsy5c+e4efMmL774IpMnT9Zy1LojNTWVf/zjH5SUlBAZGUnHjh0JCAjQiyZHhko3H68KcR8OHDjArFmzKCkpoVWrVly5cgUzMzOsra1p0qQJ7du3N8izRQScP3+e4cOH06JFCyIjI+nSpQtdu3a9a5I0a9YsOnXqRFpaGt27d9fZSfNvWVtb88wzz/Dee+/xwgsvcPHiRTp16kRBQQE///wz+/bt49lnn9V2mI+MhoYGTQJhb29P586d6dy5M126dGHBggW8+eabOn1dqJ+WZ2ZmsnHjRjZt2oS9vT2BgYFER0cTHByMp6cnHh4emtIkQ0uoDGEcuXz5MuXl5QwePFjTubB3796sXLmSH3/8kVWrVlFRUYGZmRmRkZEMHDiQkSNHajnqR5/6s5KRkcFLL71ERUUF3t7erFu3jk8++QQHBwfCw8Pp2rUrMTEx+Pj4aDtk8QdIQiX0mvoGlpeXx9tvv010dDTTp0/n+vXrjBkzhoCAALZs2cLp06dZsWIFHh4e2g5ZaEF2djZw58nzqVOn+PXXXykvL6dly5Z0796dXr160a5dO3r27Kk3h9veunWLixcvMnDgQCoqKli7di03b97k119/5cSJE+Tl5fH3v/+dwYMHaztUrVLfQ37v4Fr1+TExMTFERERQWlqqpSgfntraWoKDg3FycqJv375YWlpy+vRpPvnkE4yNjWnTpg0BAQH069ePqKgog9hDZWjjyO7du/Hz88PNzU2TLBcVFVFXV8fGjRtp06YNo0aNolWrVvj6+mo5Wt2hPhD6xx9/xNramvj4eDw9PSkoKODq1aucP3+epKQk5s2bh7u7O7t379Z2yOIPkIRK6DX1DWz37t04ODjw5ptv4uzsTFpaGhYWFvj5+TFy5EhN+YI8ZTNMXbt2ZerUqXz11VdYWFgwZMgQAJKSkvj555/55z//iYmJCW3atCE6OpqRI0fi5uam5ajvjzox2Lp1K1u3bmXFihU888wzPPPMM6SkpHDs2DHMzMzo1q0brVq10na4WqeeUI4ZMwYbGxu6dOlCTEwMAQEBmmYlNTU1pKWl4eXlBfC7ydejTh3z9u3bWbp0qeYAV7W8vDwWLlzI7t27yc7OZv369YwdO5Zp06ZpMeq/hqGNI/v27dM041E/NNixYwdubm7MmzfvrutCF691bVE/fMjLy6Njx460adMGhUJBkyZNCAwMpGfPnpSVlZGTk6NZLZbfr+6QhEroNfVkKDs7m6ZNm2o2UP/www9ERERgbW2Nj48PgYGBXL58WZuhCi2yt7fn+eefp3379ixfvpxTp04xdOhQJkyYQEFBAUlJSVy4cIGUlBRWrlyJm5ubzk6a1IP6xYsXadGixV0NFNSHPou7VVVV4ezszI0bN1i5ciVLly7F2dmZ4OBgwsLCSExMJDs7m969ewO63VL82LFjBAQEEBERAUBdXR0KhQI3NzfGjh1LZWUlr732GseOHeObb75h1KhRmsNd9ZWhjSPp6enMmjULIyMjzbV88OBBJkyYoGnCoS4FlMn+/536OgoMDOTYsWP3lMqamZnh4uKCi4uL5jX5/eoO3b3rC/F/oB4MOnfuTFJSEtevXwfg1KlTdO/eHYDKykquX79O69attRWmeESEhoYya9YsfHx8mDVrFlOnTqWyspLHHnuMyZMns2DBAr766iud7malHsTbtm3L9evXOXXqFHV1dVqO6tFmY2PD4sWL+eCDD3j33XcZPXo0LVu2JDk5mUWLFpGUlMQrr7yi2Veki3uK1BM3Ly8vsrKyqK6uBu5M8tQrcT4+PhQWFpKVlcWIESOwsbHh1KlTWov5r2JI48jZs2dpbGxk3bp1rF27lpSUFHJycigqKqJ3796a34VKpdL8j/jfGhsbgTvNKBISEjh9+jTvvvsux44do7i4WMvRiYdBVqiEQYiMjMTLy4vnn3+e/v37U1BQoCnPWbJkCbW1tXqzN0Y8GFdXV2bMmMHQoUP54osvWLRoEaNHj6Znz564ubnpbKkf3L0peubMmQDMnDmTfv360a5dO1q0aIGTkxPW1tbyZPQ3VCoVpqameHl54eXlRWxsLLdv3yYnJ4fq6mo8PT31pstbr169+Oc//8nrr7/O888/j5+fH9bW1lhaWrJr1y6uXr1KZGQkRkZGFBQU4O7uru2Q/zKGMI7Y2dnRs2dPsrOzSUpKYuPGjQBYWFiwf/9+2rVrh7e3t06vwmqD+vdVWFhIdXU1TZo04ZtvvuHQoUO0bNkSPz8/goKC8Pb2xs/PT9NVU+gOaZsuDMb169eZN28eiYmJ3L59G19fXwoKCjA1NWXGjBk89thj2g5RaNHvdSvLz89n06ZNfPXVV3Tu3JmXXnpJp7u4qdXX15OamkpycjIHDx7k3LlzlJaW4uTkREREBKGhoURHR+v8WToPy5EjR/j0009paGigXbt2REZGEhwcrEmu1fsc9KXj3e7du3nvvfe4desWbdq0wcXFhYyMDDIyMhg+fDhvv/02P/74I/Pnz+f48ePaDvcvZSjjSH19PdevX+f48ePs27ePrKws6uvrsbS0xM3NjeDgYAICAujUqZOcnXQfqqurOX/+PMeOHeP48eNcu3YNIyMjlEol77zzjt5cR4ZEEiphUOrq6khOTubYsWPcvHmToKAgQkNDdb5MQ9y/27dvo1KpsLS0pKqqiuLiYpo2bUptbS2FhYVYW1tz4sQJVq5ciampKcuWLcPT01PbYd+XU6dOcfToUVxdXenfvz82NjaaDdDFxcWcPHmS/fv3c+LECUaPHs2sWbO0HbLWqJOjK1euMH78eCwsLPD392fPnj3AnTLAsLAwIiMjqaioYMqUKXp1hkxpaSk///wzBw8eJD8/n+DgYLp370779u3ZsmUL//jHP3j88cf5+9//ru1Q/3KGOI5UV1eTmZnJ4cOHOXDgACUlJVy/fp2lS5fStWtXbYenU6qqqrCxsdE0/AAoKCjgxIkT7N27l5dffhk/Pz8aGxtlJVCHSEIl9F5OTg7Hjh2jvr4ePz8//Pz85ImaAOD06dN8++23FBQUkJeXh5WVFQqFgmvXrtHQ0ECTJk2oqqqiqqoKMzMzbGxs2LlzJzY2NtoO/Q+pr69n27ZtzJ8/HwsLC2JiYli4cCGmpqbExcVhYmJCWFgY4eHhdOnSRbPi8u8HHRsS9SG3H3/8MQkJCcTHx2NqasqiRYvw8vLCwsKCpUuXolQqCQ4OZsuWLTq/QlVYWMjp06c1yaOrq6vm51H/PgoKCli7di0tWrRg0KBBWFtbaznqv4aMI/+iUqk0B1tHRUVJedr/oL4vKJVKjh49ypo1azh37hwuLi4EBQURFxdHbGystsMUD0j2UAm9pH6yc/nyZd555x3Onz+PhYUFtbW1uLq6Eh4eTlRUFP7+/ri7u+Pq6qrtkIUWLF26lCNHjuDq6kp0dDRNmjTBwsICHx8f7OzsqK6uxtnZGXd3d2pqagB0LpkCOHr0KP/85z+JjY1l5syZms5+ly9f5sqVK7Rv356TJ0+ybds2Bg8ezDvvvKPliLVP/WT42LFjdO/eXdOQoaioiF69ejF48GAKCgooLS1lwYIFgG4ecquOOScnh7lz53LgwAGMjIywt7fH39+f0NBQ2rVrh5ubG+Xl5bRt29ZgVqVkHPl9CoUCBwcHunTpou1QdIK67f53333HihUrcHBwYOzYsVRVVXH8+HFefvllunfvzuzZsw3mGtJHklAJvaQeCNevX091dTVLliwhIiKClJQUDh06RGJiInv27KG+vp5Bgwbx4YcfajtkoQUBAQHk5+dz7do1Dhw4QM+ePfH19cXT05PAwEC9efK6efNmvLy8eOutt7C1taWurg4zMzP27dtHeHg4K1asoKSkhAULFnDo0CFAN5ODh8nIyIjGxkbMzMw0KxHGxsZcuHCBNm3aABAbG8v8+fPJzc0lICBAJ8tzGhoaMDEx4bvvvuPy5cvMmzcPExMTVqxYQXl5Od999x1ffvkl9vb2BAYGsnbtWm2H/JeRcUQ8DOoGP8uXL6d///689NJLmgdzt27dYuvWrSxYsIBff/2V0aNHG/y9V1dJQiX0kvoGdu7cOUaOHKlZTu/WrRvdunUD7hyud/jwYb3pziX+uJdeeokxY8Zw7do1zpw5w9GjR9m9ezc1NTU0a9aMiIgIOnbsSGhoKM7Ozjpb4nPmzBnefvttTfzqif/WrVvp0aMH5ubmuLq60r59e1JTU7l8+bJeNN94GMLDw/nyyy/p0aMHSqWSxsZGzT3D2tqakpISTac3XaS+Fvbu3cuwYcMYOnQoqampNGvWjLFjx+Lq6sr48eM1/xv+Vf6n72QcEQ9LTk4Ot27dYuDAgXdVOVhbWzN69GhOnjzJoUOHeOKJJ7CystJipOJ+6f8dURgkhUJBQ0MDcXFxZGZmal5XKpXAnUmEm5sbw4cP11aI4hFgbW2NtbU1bm5utGvXjnHjxlFYWEh6ejpHjx7l7Nmz7Nu3D6VSSUBAAFu2bNF2yH9YTk4OVlZWNGvWTPPUUz0ZDg0NpW/fvpr3uru7a8pTDJ16H1lcXBxnz57l4sWLRERE0KxZM7Zs2ULXrl1Zu3Yt7u7umJmZ6ewGciMjI+rq6qiurr6rq+OlS5cICgqiWbNmjBgxgpycHCIjIwEMIpkCGUfEw1NSUoKLiwtZWVkEBwdrDsxWN6WIiIjg66+/lmRKhxnGXVEYFPXE5vz58+zevZvCwkIef/xxwsLC7pkIGMqTVvG/GRkZYWVlRcuWLWnZsiWxsbFUVFRw48YNzp07R1lZmbZDvC+1tbU4ODhw7do1oqOjNYkCwPz58zEzM9O8t76+ntLSUvz8/LQV7iND/TsKDAxk5cqV1NfX4+DgQExMDIsWLeLzzz/HycmJyZMnA+j0Aafl5eV4eHiwe/duOnfuTElJCbW1tTRr1ozGxkbNwwQLCwtth/qXkXFEPCwqlYqQkBBsbGz45ptv6NWr112fpZs3b3L69Gn8/f0BuZ50lfzFhN5RPyW+fPkyjY2N1NXVMWLECHx9fQkPD6d9+/ZER0fTrFkzuWmJu6gHsgkTJjBy5Eh69eqFnZ0d/v7+mpPudY2vry/Gxsbs3LmToUOHahIFlUqFubk5jY2NKBQKqqqqOHbsGEFBQVqOWLtqa2u5cOEC58+fp0+fPri5ud3VyW7+/Pl06NCB7OxsOnXqRFhYGIBOr+o5OzvTpUsXNm7cSFZWFhUVFVhbW5OdnY2Liwvnz5/H0dFRs69MF1fi/igZR8TDolAoMDY25qmnnmLu3Ll07tyZ3r17ExMTg52dHatXr+bmzZuaZkCyf0o3Sdt0obfOnTuHra0tV69eJSUlhdTUVK5du0ZJSQnm5uaYmZnxwQcfyOGl4i4NDQ20bt2alStX6s35Klu2bGHmzJm88sorjB079ndbXf/www989dVXjBkzhqFDh2ohSu0rKiriiy++YOPGjfj5+TF79myioqKoqanh7Nmz3Lhxg5YtW2pK3/RBaWkpTZo0oaioiB9//JE+ffpgY2PDsGHD8PX1xdHRkX379vHCCy/w7LPPGtzTcxlHxMN07tw51q1bR0pKCtevXwfA1dWV2bNn06FDB51+MGPoJKESekXdHScjI4Px48ezYsUKAgICgDvddK5evUpqaiqpqakkJSXxySef0Lx5cy1HLR4F6ifvhw4d4s0332THjh16s9H89u3bxMfHs2HDBqKjo+nduze+vr44OTnh7OzM999/T3x8PGPHjmXixIk62Rr+YXj33Xc5duwY48aNIzw8HG9vb4yMjIiPj2ft2rWasr64uDhmzpyps01KAFJTU/nHP/5BRkaGpm0z/GuV9ttvv+Xbb78lIyODiRMnMmrUKGxtbQ2iA5mMI+Jhu337NgUFBbi6umJmZkZeXh5FRUXY2Njg6OiIg4ODQXy29JnhPGYSBiU5ORlbW1vNhLixsRFra2tat26tOc1e/WRWCLgzkTQzM2PPnj14e3vj4OCg7ZAeGgsLC15++WUsLS35+uuvOXbsGNbW1lhZWVFYWIilpSXDhg1j8uTJBrX68FsqlYodO3Ywbdo0hgwZonl9yZIlrFmzhl69ejFmzBgqKip45513OHjwII8//rhOToISExNZvHgxWVlZ9O7dW5MMpKamsnbtWo4fP05ISAjjx4+nR48eGBkZaa4LXftZH4SMI+JBqO8NCQkJbN68mWvXrmFnZ0dQUBBRUVEEBwfj6empWZUypM+WPjLMkVPoLfUNzN3dnaZNm3L06FEGDBjwu5NEGQTFb6mbM7Rq1YrY2Fi92ydiZ2fHlClTePnllzl69CgnTpygoKCAiIgIwsLCCAoKMuhyk8TERIyMjIiJidG8VlRUxOrVq3F1dWXx4sWajeQ///wzp0+fpn///nc19dAVq1atomnTpnz66ae4ubkBkJaWxqxZszh//jydOnWioqKCBQsW4OjoSHR0tJYj/mvJOCIeBoVCQV1dHfPmzcPU1JSAgABKS0s5cuQIe/bswcrKCk9PT1xdXZkyZYreVEQYKkmohF5RT4Kff/55ampqyMjIID09nS5duuDt7Y29vb1OToDEn6empoadO3dy5coV7O3tadWqFb6+vtoO609jamp61zk64o4LFy7g4+OjmTTX1NTw9ddfU1NTw0svvYSFhQUNDQ0YGRkRFhbGzp07dfJeUldXx4kTJ1i6dOldZWpLlizh/PnzzJ8/nz59+gDw1FNP8dNPPxEVFWVQT89lHBEPSl1CfvjwYaqqqli3bh2+vr6oVCoyMzM5f/48586dIzU1lWPHjjF79mxthywekCRUQu8olUqWL19ORkYGBw8e5LvvvmP16tU4OzsTHh5OTEwMoaGhtGnTRtuhCi1RD3bp6el8/PHHHD58GDs7O+rq6rh16xbe3t5MmDCBxx57zGBL4AyNr68vmzdvpqKigmbNmnH06FE2bdpE9+7d6devH3Cnk59SqSQtLU2TjPy2Db0uOHXqFE2bNtXsDwO4ePEiu3fvpm3btneVO44YMYLt27dTVVWFra2ttkLWChlHxINQP4DIzc2ldevWmvuFQqHAx8cHHx8fnnjiCWpra8nNzcXExEQny4fFv8hMQegdExMTYmJiiImJ4amnnqKkpITk5GROnz7NiRMneP/99/Hz82Pbtm3aDlVoibq5QHx8PCUlJcybN4/27dtjamrKhQsXWL16NXPmzMHBwYGuXbvKQGcA1F3apk6dSlRUFHv27KGiooKXXnoJDw8PzfvS09M5d+4ckyZN0lKkD6a0tBQHBwdu3boFQEFBAWvXrsXW1pann34aQNNKH+6UPRpaMgUyjogHo/78dO3alb1793L69Om7qgLUY5C5uTk+Pj53fY/QTdLlT+itzMxMioqKNDXKcKfcJTs7m4aGBgIDA7UcodCmxsZG2rZty4cffqgpcVK7efMm48aNIyQkhPfee8+gDjQ1ZCkpKXzwwQfk5ubi6urK8OHDGTx4MCqVioqKCuBOwlVYWMj69et1MtEoKipi8ODBDBw4kMmTJ7Ny5UqWLl3K2LFjefXVVzUt9W/dusWMGTNQKBR88sknBtcuXU3GEXG/SkpK6NixIwBBQUGMHDmSyMhImjdvjrW1tSRQesbw7o5C7124cIGZM2eSl5eHjY0NRUVFrF+/noaGBvz9/fHz89N2iEKL1KtNaWlpNGvWTLMR+LcTRhcXF0aNGsWGDRv0rjmF+M9CQkJYsmSJJqFSXxvnz5/ngw8+ID09HSMjIxYtWqSzLcSbNm3K+PHjWb16NVu2bKG8vJzw8HD+9re/3XU+2f79+0lJSWH69OmA4T09l3FEPCgLCwsWLlxIVlYWhw4d4v3338fY2BgfHx9iYmKIjIwkODhY0xhG6DZJqIReUO+JOX36NDNmzKBp06YsWLCA48ePs23bNkxMTPjoo4+IiIhg8uTJBjc5EP+i/ts3adIECwsLtm7dSlRU1F1P31UqFeXl5SgUCtl8bmDs7e2xt7e/67WCggIqKiqIi4tjyJAhmn0zungfUSgUjBo1Cmtra1JTU/H19aVnz544OztTV1fH4cOHSU9PZ/ny5XTv3p0uXboA6NQ+sfsl44h4mMzMzBg8eDAAEydO5Nq1ayQlJZGYmMiePXtYs2YNAwYMYPHixTr5cEbcTRIqoRfUA+GmTZto0aIF77zzDp6enmRmZuLk5ERAQADBwcF88803PPHEE7Rs2VLbIQsta9asGe3bt2f9+vWYmpry5JNPas6W2bBhA9u3b6d///5ajlJow79Pbvr06XNPWagus7CwYPjw4fe8npiYyKRJk7CwsKBbt27MmjULc3NzLUSoHTKOiIfpiy++oHnz5gQGBuLp6UlAQACBgYGMGDGC8vJyLl26pHl409jYaBAPLfSZJFRCL6hvRFeuXKFHjx64uLgAsH37djp37oyRkRFPPPEEu3btIjk5WQZCAcC0adOwsLBg06ZN/PTTTxgZGWFra0t+fj5PPPEEI0aM0HaIQgt+70mxerKtzyIiIli9ejWWlpaEhIQY3OqsjCPiYSkuLmbTpk0YGxtjYmKCt7c3YWFhBAYG4uXlRfPmzWnfvr3m/ZJM6T5JqIReUCgUKJVKgoODOXr0KK+++ipwpyPXm2++iUqlwtLSksrKSry8vLQcrXhUKBQKpkyZQr9+/UhMTNS0r/X29pZkyoCoezMpFIr/mDjpezIFYGtrS6dOnbQdhtbIOCIelPr+UVNTQ/v27Tlx4gQxMTFkZ2ezefNmSkpK8PPzIyQkhLZt29K1a1eaNWum7bDFQyAJldAbJiYm9OrVi++//5733nuPFi1aYGFhQWhoKAqFgk2bNmFhYaEp6xKGR13KVVZWxqlTp0hOTsbOzo7o6GhGjRol3fwM1G9XpIyMjGQ/gwGTcUQ8CPXDmRkzZuDs7MzKlSs110p9fT3bt29n3rx5XLlyhR9++IGAgADmzZtHSEiINsMWD4G0TRd6Z+3atSxdupSKigrs7e157LHHSEpKory8nPHjx/PUU09pO0ShZdOmTePnn3/GzMwMKysrTE1NadKkCf7+/rRu3ZqAgAAiIyOlDEPPlZSUkJiYSGRkJNXV1YwcOZJffvlF090P7l69EoZDxhHxINq1a8ecOXPo378/SqUSQNP46L333sPU1JShQ4cyefJkOnbsyKxZs7QZrngIJKESekelUnHp0iX27t3Lvn37aGhoICQkhP79+991sJ4wLOpVh5ycHPr378+0adMYMGAAKSkpJCUlkZKSQk5ODjU1NVRXV7N161bN6fZCP126dIl33nmH+vp6bGxsuHz5MosXLyYwMJAmTZrctYeovr4eIyMjSbINhIwj4n4VFxczYcIEoqKimDFjhuZ19Rh0/Phxpk6dSkJCAhs3buTbb79l7dq1NG3aVItRiwclJX9Cb9y6dYsrV66QlpaGlZUVAwcO5NVXX6WmpgZTU1ODPJRS/It6MEtMTMTHx4e4uDgcHBzo0qWLpjX09evXSUpKIj09XZIpA+Dj48PYsWPZs2cPe/fuBeDNN9/Ez8+PNm3aEBgYSEBAAA4ODixbtozGxkbmzp2r5ajFn0nGEfGgmjZtSufOnVm5ciWurq707NmT5s2bY25urin7s7W1xdTUFHt7e0pLSyWZ0gNyZxA6raGhAWNjY65cucLnn3/Orl27MDExwcbGBnNzc8LCwpg0aRKBgYGyL8LAqZsKtGnThpYtW1JUVISDgwONjY0oFAoUCgXu7u64u7trOVLxVzEzMyMuLo64uDg6derEmDFjUCgUJCQksGHDBurq6nBzc6NJkyakpqby1ltvAXcfAi10n4wj4kGpryG1l19+mZKSEpYvX86uXbsIDAxEqVRy7tw5KisrmTx5MgCHDh2S/VN6Qkr+hM5qbGyksbERExMTXnjhBa5du8ZLL71EREQEly9f5uTJk2zbto3Gxka++OILIiIitB2yeAS89dZb7Nixg2HDhjFu3DhcXV3vKu2SCZNhqa+vx9TU9He/dvLkSfbu3UtSUhIxMTFMmDABGxsbuUb0iIwj4kEVFBSwY8cORo8ejZmZGVVVVVhbW3Pr1i327t3LTz/9RE5ODpaWlrRq1YoRI0bg6+vLnDlzyMzMZPr06VJGqgckoRI6r7GxkdDQUD7//HN69Ohx19cqKioYOnQonTp14p133jGI1sfiPysuLuall16ivLycrKwsnJ2diYiIoEOHDoSFheHu7o6NjY3skzFAKpWK7OxsLl68iKenJ23atLnr64ZwDpUhk3FE3K8tW7awZs0atm3bxsmTJ1mzZg09e/YkJCQEf39/zfVSWlpKkyZNgDuHaG/YsIHBgwfTtWtXWfHWA/IXFDopNTWVGzdu0KlTJxQKBT179qS0tBSAuro64E6Jl52dHcOGDWPz5s3U1dVJW2wD5+joyJdffkl5eTlXrlzh+PHjnDx5kg8++ICGhgacnZ0ZNGgQr732mrZDFX8B9UpTXl4e8+bN48SJE9jY2JCfn88rr7xCx44dMTMzIzAwUJJsPSTjiHgYhgwZQp8+fYA7D+1OnTrFoUOHMDIywtvbm8jISKKiovDz80OpVOLo6Ei7du0ICgrC3t5ey9GLh0USKqGTvv/+e7766itatGiBl5cX2dnZ3Lx5k7i4uLvKt5RKpeawThkEhUKhwMbGBktLS9zd3enWrRt1dXVcv36dixcvsmvXrruuH6Hf1GV7U6dOpbKykunTp+Po6MjLL7+Mn58fCQkJnDlzhgULFuDh4aHlaMXDJuOIeFhsbGwANIf5Zmdnc/z4cQ4fPszOnTv5+uuvcXJywsXFhVmzZhEREYG9vb2UD+sRSaiETurTpw8uLi5kZGRw9epVGhsbOXfuHH369KFXr15ERkYSEhLCTz/9xPnz5zUn3gvDdurUKfbv309dXR1+fn54e3vTsmVLzYRqwIAB2g5R/EXUJXzHjx8nMzOT5cuX07ZtW0pLS1Eqlfj4+NC0aVPWrl3LwYMH5dwhPSTjiHgY1ElRYWEhEydOZM6cOZrmR8OHD6e2tpYrV66QmJjI9u3bsbOzA6SMWN/IHiqh0xobG7l27RqpqalkZGRw+fJl8vPzKS4uJi8vDxMTE8LCwvjss8+kLamBUg9aycnJvPnmm1y/fh1zc3Nqa2txdHTE09NTs39KpVIxevRobYcs/gLq62LlypXs3r2b5cuX4+TkxNq1a9mwYQPbt2/H1NSU1157jYaGBj7//HN5mqynZBwRD0NOTg4TJ06krKyMMWPG8Oyzz2JpaantsMRfRFaohE5St7o2MjKiVatWtGrVCoCamhoyMzO5cuUK6enppKWlUVFRIYOgAVNPnL/99ltMTU356aefaGxsZM6cOTRp0oT8/HxWr16Nra0t7dq1k4TKQKifDLdq1Yrc3FyuXbuGk5MTCQkJxMTEYGpqSm1tLVVVVZr7S2Njo+yl0iMyjoiHydPTk6+++oply5axatUqjh07xuTJkwkPD8fY2JiGhgZpPqHH5C8rdJL63KD6+noSEhIoLi7WHMTZunVrWrduDUBZWRnFxcVajlZok3oCfOTIEZ577jm8vLy4cuUKjY2Nmr0yI0aMwMzMTHM2iDAcnTp1ws7OjmnTpvHCCy9w9uxZRowYAcC2bdu4dOkSzz//PICsTukZGUfEw9TY2IiTkxOzZs2if//+fPzxx8yZM4eJEycSFxcnyZSek7+u0EnqiU18fDybNm2ioaGBuro6mjVrRuvWrenWrRsdOnSgpqYGT09PLUcrtEmhUFBVVYWJiQlOTk7AnYEvOTkZBwcH4E6Xpn379uHs7KzFSIU2WFtbs2zZMmbOnMn8+fOpra3l+++/Z+PGjSQnJzNy5EjatWsHIPsd9IyMI+Jh+u39ISoqis8//5xPPvmEN954g127djFx4kQ5xFePSUIldM5vWx1v2rSJYcOG0adPH5YvX05JSQk3btxg9uzZKBQKVCoVu3btomXLltoOW2iRQqHA39+fdevW0bdvX27evImRkZEmgWrSpAkXL17UnBEiDIuPjw/x8fHs37+fY8eOUVJSgpubG2+++aY0o9BTMo6Ih0FdUl5UVERWVhYKhQJTU1PS0tJQKpW0b9+e0tJS9uzZQ3V1NatXr9Z2yOJPIgmV0DnqfQz79u3DxcWFV155BRsbG1q1aoWbmxuvvfYaixcvZteuXbz77rsyCAqsra3p378/X3zxBefOnUOhUGBlZcXBgwfx9/fn119/xdvbW9thir9YTU0N169fp6qqChcXF0aPHs3o0aOpr6/H1NRU2+GJP5GMI+Jhev3110lJSUGlUlFdXU2zZs2wsLCgsrISDw8P4uLiaNu2LXCnDb+U/+kf+YsKnaMu07h48SJRUVHY2NjQ2NhIeno6bdu2xdHRkdGjR3Pp0iUcHR21HK3Qlt+eSg/Qr18/XFxcaNGiBY6Ojnh7e/Pee+9hYWFBSUkJM2bM0GK04q9WVVXF4sWL2bhxI0ZGRjg4OBAUFER0dLSm66ODg4OmxbHQLzKOiIdBXeY3cuRIqqurcXNzw8vLi9LSUmxsbPD09KS+vh6VSqU520ySKf0kBeFC56hvYJ6enpw/f54rV65gbGxMWlqapj65adOmNDQ0aE69F4bl0KFDjBs3jrq6Oqqrq0lNTaW2tpaoqCjN5GjKlCkEBwfj7OzMhx9+qDnpXui3hoYGALZv387PP//MxIkTWbNmDU899RTV1dUsX76cv/3tb4wdO5aPPvpIy9GKP4uMI+JBqU8dKi0txd/fn6FDh9K+fXuaN29OUFCQZt+dqampHBhvACRNFjpHXfvev39/Nm3axK5du/Dy8sLMzIzr168DkJmZydWrV4mKitJytEIbmjRpwpNPPomZmRk//PADs2fPJiQkhLZt29K+fXv8/f1p27atpgRDGA71ysTu3buJi4vj1VdfxdjYmJiYGF5++WVKS0tJSUlh586dmjNkGhoapF26npFxRDwo9TW0evVqvvzySzp37kzbtm1p3bo1np6eODk5YWNjI81sDIQc7Ct0ym8P1lSpVBw7doyqqir69OnD3Llz+eGHH3jyySdJSEjA0dGRjRs3ajlioS3qayUnJ4eDBw9y9uxZTp8+zY0bN7CxsSEwMJD27dsTERFBSEiIlHYZmBUrVlBaWsobb7yBsbExSqUSY2NjmfwYABlHxMOUnp7Ozp07OXnyJMnJydy+fRt3d3fCw8OJjo7G3d2dsLAwbG1ttR2q+BNJQiV0zoULF3Bzc7unI1tubi6LFi3i7NmzhIeHM2nSJAIDA7UUpXgU3b59m0uXLnHixAlOnDhBamoqRUVFLF++nO7du2s7PPEnU0+kCwsL+eCDDzhx4gTff//9Pe3yGxoaUKlUstdBj8k4Iv4M5eXlJCcns3//fvbs2UNxcTENDQ1s3bpVriM9JwmV0Bn5+fksWLCAxMREnnnmGSZNmnTX0+S6ujrMzMyorq7GwsJCnjQL4M51kZOTQ1paGi1atNAc1glw/fp1rly5Qvv27TE3N9dilOKvoE6o9uzZw4cffkhRURENDQ107tyZTp06ERMTg6+vr7bDFH8iGUfEw6Z+AKNQKO4qDU5ISGDBggW8+eabxMbGajFC8VeQhErohIsXL7Jw4UIyMzMZPHgwffr0ITQ09K6yrtGjRzNz5kz69u2r7XCFlqnPBsnJyWHJkiX88ssvGBsbU1NTg42NDf379+e5557Dy8tL26EKLUhJSeHGjRvk5uaSkpJCZmYmhYWFKJVKXF1d8fDwYMKECbRp00bboYqHSMYR8bCor5nf21+pPnahpqaGOXPmEBkZybBhw7QUqfirSD2D0Anr1q3DxMSEZcuW3TXJUdfBV1dXY25uzvz58/H19cXHx0dboYpHgPo50dy5c8nKymLKlCm4ublRUVFBcnIye/bsIS8vj4ULF95T7iX0W2NjI/Hx8cycOZPY2Fjq6+vJyckhPT2dS5cukZmZycmTJxk1apTm/bJKoR9kHBEPi/qaGTNmDDY2NnTp0oWYmBgCAgI0Z9jV1NSQlpameXAnzW30m6xQCZ0QExPD9OnTGTRo0H+c3GRkZPDUU08xcOBA3n777bs2HgvDU11dTbt27fj000/p1auX5vWamhpOnz7NxIkTef3113nuuee0GKX4q6jvB8ePH2f8+PFs2rRJ0x77t27dukVWVhZBQUEy+dEzMo6Ih6mqqooZM2Zw48YN8vLyUCqVODs7ExwcTFhYGImJiRw5coRvv/0Wb29vuZb0nKxQiUfe1atXMTc3x9vb+78+Kfbx8aFv375cunSJkpISOYzRABUUFGBhYYG9vT2VlZUEBwdjY2MD3CnDMDExwdLSks6dOzNs2DB+/vlnnn32WRnkDIB6MuPs7Ezfvn0pKir63fdZW1v/bqIldJuMI+Jhs7GxYfHixeTm5pKRkcGlS5dITU0lOTmZ3bt3Y2dnxyuvvIK3tzeAjDN6ThIq8cirrKzEycmJgoIC4D8vm6tUKkJDQzl+/LgMggZq9uzZJCQk0L59ezp27IhCoeCrr74iIiLinoMVbW1t5YmhAVH/nd966y1SUlK4ePEipaWlREZG4uLigoWFhZYjFH8mGUfEw6ZSqTA1NcXLywsvLy9iY2O5ffs2OTk5VFdX4+npKdeQAZGESjzyAgMDqa+v59dff6V3796aQfC31aoKhYL6+nrS09PlBmbARo8eTevWrUlKSmLt2rXcunWL2tpaXnnlFYYOHUq7du1QqVR89913XLlyhSFDhmg7ZPEXUSgUNDY2MmzYMEJDQzl69CgzZ87E2tqa4OBgYmJiiI6OpkWLFjRr1kzb4YqHTMYR8bAdPXqUTz/9lIaGBtq1a0dkZCTBwcH4+fkBd5J2QB7cGQjZQyV0wurVq/n888958803GTJkCJaWlve859ixYyxYsIDhw4czZswYLUQpHgX19fVUVlaSn5/P1atXSUlJ4fjx46SlpaFUKnF0dKSkpIS//e1vvPbaa3LWkIFpbGykrq6O2tpaTQOKkydPkpKSQmlpKR4eHuzdu1fbYYo/gYwj4kGpk6MrV64wfvx4LCws8Pf3Z8+ePcCdMsCwsDAiIyOpqKhgypQpciSHgZCESuiEyspK3n//fXbs2EHnzp3p3r073t7eODk54eLiwsGDB5k/fz4hISG8//770rlN3KW+vp6MjAzOnz9PSkoKaWlpZGVlcfz4cW2HJrTg9u3blJeXa1ailEolxcXFXLx4kZKSEoYOHSodufSQjCPiQSmVSkxMTPj4449JSEggPj4eU1NTFi1ahJeXFxYWFixduhSlUklwcDBbtmyRFSoDIY9mhU6wtbXl9ddfx87Ojm+//ZaEhASsra2xsbGhuLgYuNPBaebMmTIICgCuXLnCpUuXuHbtGp6enkRHRzN8+HAGDRpETk6OphxDGI6amhri4+NJSkpCqVRSVlbG4sWLcXV1pWnTpvTo0UNTAibJlP6RcUQ8KHVDk2PHjtG9e3d8fHwoLCykqKiIXr16MXjwYAoKCigtLWXBggWAlPwZClmhEjqntraWY8eOcfr0afLy8ggODtb8j729vdy8BN999x3z5s2jpqYGJycnGhoasLS0pG/fvkyZMuWeBhVCf6nvByUlJbz11lskJyfTu3dvlEolW7duZdOmTXz33XcEBQUxevRobYcr/iIyjoj71djYyDPPPENsbCzjxo2jpKSE7t2788MPP+Dj48OhQ4eYP38+n3zyCQEBAdoOV/xFZIVK6Bxzc3O6d+9O9+7df/frMggaJnUpRkZGBh9++CGPPfYYkydP5saNG2RnZ3Pw4EG++uorCgoKmD9/vnR1MxCNjY0YGxvz888/k5OTQ3x8PJ06deLo0aPs378fd3d3zM3N+eijj+jUqROtWrXSdsjiLyDjiHgQ4eHhfPnll/To0QOlUkljY6OmkYm1tTUlJSWaA32FYZDj34UQOk29yK5uLvHLL7/g6urKm2++iYuLC6GhoQwcOJBFixYxf/589u/fz6VLl7QZstCCI0eOEB0dTWRkJABbt26lTZs2ODs7M27cOJydnTl69Chwd+c3IYRQa2howMjIiLi4OFq2bMnFixextramWbNmbNmyhfT0dNauXYu7uztmZmY0NjZqO2TxF5GESgih0xQKBb/88gv5+fnAnT0QHh4e1NTUAHdKe+rq6gDo0KEDHh4eHDhwQGvxir+Wei+Us7MzWVlZmpXJxMREunbtikqlwtbWFoVCoTkEWhIqIcTvUd9PAgMDWblyJR06dKB58+bExMSwaNEihg0bxsWLF3n22WcBuZcYEin5E0LotMrKSqZMmQJA8+bNCQwMJCEhgQ4dOjBmzJi7WtaqVCrKyso0J9cLw9G/f3/Gjx/PypUriYmJ4ebNm3Tt2hWFQsGRI0e4efMmHTt2BP618VwIIeDOg7kLFy5w/vx5+vTpg5ubG9bW1pqvz58/nw4dOpCdnU2nTp0ICwsDpLmNIZGmFEIInVZdXc2xY8fIycnh/PnzZGRkUFJSQmFhIUFBQfTu3Zv27dujVCpZvnw5Xl5evPHGG797Bo3QX42NjXz66aesX78eS0tL6urqePHFFykoKGDXrl106NCBefPmSTMCIcRdioqK+OKLL9i4cSN+fn7Mnj2bqKgoampqOHv2LDdu3KBly5aacmJhmCShEkLojcrKSnJycrh69SqZmZmcP3+eq1evcu3aNYyNjWloaGDWrFnSzc1A3bp1i927d7N161ZOnz6Nra0tTk5O9OjRgxdeeAErKytJqIQQd3n33Xc5duwY48aNIzw8HG9vb4yMjIiPj2ft2rWasr64uDhmzpxJkyZNtByx0AYp+RNC6DT1YKZQKLC1tdW0PoY7B7hmZmaSnp5OWloaZ86coba2VpvhCi25ffs2WVlZhIaGMmDAAIyMjLh69SqOjo6a7lwg3d2EEP+iUqnYsWMH06ZNY8iQIZrXlyxZwpo1a+jVqxdjxoyhoqKCd955h4MHD/L444/LgxkDJAmVEEKn/fugdfToUfLy8qitrcXW1pa4uDiCg4Opq6vj+vXrODk5aSlS8VdST2iqqqr44YcfiI+Pp7GxERsbGxwdHencuTNPP/30XcmUEEL8VmJiIkZGRsTExGheKyoqYvXq1bi6urJ48WJNo5uff/6Z06dP079/fznr0ABJQiWE0GmNjY0YGRlRUFDAqlWr+P7771EoFFRXV9O6dWuCgoK4cOECjz/+uJwLYkAaGhowMTFh7dq1bNiwgYEDB9KhQweysrK4cOECmzZt4siRIyxatEgO3xRC/K4LFy7g4+OjOZajpqaGr7/+mpqaGl566SUsLCw0rdTDwsLYuXOnJFMGSloZCSF0mvqcj3/84x8cPXqUSZMmcebMGZ566imsra2pqanhgw8+4N1339VuoOIvpV653LRpE8888wwzZsygf//+TJo0iS+++IJvvvmGiooK1q1bB0h7YyHEvXx9fbl58yYVFRXAnQqITZs20b17d/r16weg2Z+blpZG8+bNgTsPdIRhkYRKCKHT1G1pt2/fzujRozXnf5w5c4bQ0FBCQ0MZNGgQZ86cIS8vT5uhir9AVVUVhYWFmusiKCiI5s2bY2FhQV1dHfX19ahUKvz8/Bg1ahRHjx4lPz9f9jsIIe4RHh4OwNSpU5kzZw6zZ8+moqKCl156CQ8PD8370tPTOXfuHLGxsVqKVGibJFRCCJ2mUCgoKSnB2NgYKysrTExMUCqVpKWl0alTJwB69uxJaWkpSqVSy9GKP9uPP/5I165dGTt2LB999BEKhYINGzYAYGZmhqmpqSZ5CggIoKioCFdXV22GLIR4RDk4OPDxxx/j4OBAQkICLVq0YP78+bRp0waVSkV5eTnl5eV89NFHWFhY0KtXL0DOnzJEsodKCKHzLCwsCA4O5uuvv+aJJ57g8OHDWFpa0qZNGwCuX79ObW0tLVq00HKk4s/m5ubGE088QX5+Pnv27KG6uprCwkJGjhzJoEGDiIqKwt/fn6NHj7JlyxYGDx4M3CnRkUmQEOLfhYSEsGTJEnJzc3F1ddU0sjl//jwffPAB6enpGBkZsWjRImxtbaXDn4GSc6iEEHph9+7dzJw5k169enHjxg0UCgWffvopp0+f5ssvv8Td3Z0PP/xQ22GKv0hhYSHp6elcvHiRjIwM0tLSqK6upr6+nsrKSurr6/H19eWjjz6iRYsWMgkSQvwhu3fv5rPPPiM6OpohQ4ZoHuAJwyQJlRBC512/fh13d3fWrVvHypUrKSwsxMLCAl9fXzIzM+nevTuTJ0+mZcuW2g5V/MnUXR///bWcnBxSU1NJS0sjNTWVvLw8ysvL2bhxI87OzlqKVgihK+Shi/hvJKESQugk9cQ5OTmZF198kVWrVhEUFER5eTnnzp3jwoUL5Ofn06FDB3r06IGlpaW2QxZ/saysLGpra2nZsuVdf//bt29z9epVcnJy6N27txYjFELost97gCMMkyRUQgidpFQqMTExYePGjWzZsoUvv/wSe3t7bYcltEw9wdmxYwdffPEFGRkZWFlZERERQXR0NB07diQ4OBilUomZmZlMhoQQv0s9PVYoFJI4if9Jrg4hhE5SH7To4eGBtbU1586du+vrDQ0N0tXPAKknPR999BH29vbMnz+fgIAALly4wJo1axg+fDgDBgwgNjaWs2fPajlaIcSjSqFQaEr8jIyM5Kw68V9JQiWE0CnFxcVMnjyZsrIyGhsbefXVV0lMTGThwoWsWrWKjIwMVCoVxsbGmqRLGAb1Ic+nTp2irKyM999/nyFDhtChQwc6derEqlWr6NevH9nZ2XTo0IHAwEAtRyyEeNSUlJSwY8cOCgoKyMrKIiYmhpKSkrv2T6lUKkmwxF1ktiGE0Cm//PILly9fxszMjLq6Ot59911yc3M5ceIEK1euZPHixbi6uhIdHU3Xrl2JiorSnF4v9Jt6gpOYmEhoaCgeHh6oVCqKiopQKBSEhoby6quvcu3aNUaMGIG1tbWWIxZCPGoKCgpYs2YNK1euxMbGhoaGBpKTkwkMDKRJkyaYmZlpkqv6+nqMjIzkyAUhCZUQQrfs2bOHyMhIzMzMMDEx4fHHH6e2tpZhw4Zx48YNMjMzOXv2LOfPn+enn34iJCSE7777Ttthi7+AelJjZmbGrVu3yMnJwdfXl+TkZPr16weAra0ttra2nD59mqioKNkbIYS4i4+PD2PHjmXPnj3s3bsXgDfffBM/Pz/atGlDYGAgAQEBODg4sGzZMhobG5k7d66WoxbaJgmVEEKnJCUl8dxzz91Vzmdubo6LiwsuLi6EhobSp08fysrKyMrKwtbWVovRCm3o27cvX331FTt27ODVV1+loqJCkzTV1dWRmZnJhAkTtBylEOJRZGZmRlxcHHFxcXTq1IkxY8agUChISEhgw4YN1NXV4ebmRpMmTUhNTeWtt94C/tUoSRgm+csLIXRGRkYGt2/fZu/evVRXVxMSEoKnp+c977OyssLKygo3NzctRCm04bdnxLi7u/PSSy9x8+ZNAGJjY9m4cSOtWrVi69atNDQ00KFDBwBZnRJC3KO+vh5TU1OOHDmiee2FF14A4OTJk+zdu5ekpCTGjx/PkCFDAKTsz8BJ23QhhM5YuXIl8fHxtGzZkrq6OmxsbPD09CQ4OJiwsDBat26No6OjtsMUWlJRUYGdnd09r1++fJlp06Zx+fJl3NzcmDp1KnFxcVLuJ4T4r1QqFdnZ2Vy8eBFPT0/atGlz19flHiLUJKESQuiMxx9/nI4dOzJgwADOnj1LUlISmZmZlJWVAdCkSRO8vLwIDQ0lODiY0NBQzMzMtBu0+NOpVCo2b97M5s2b6dKlCxMnTryn4UR1dTV5eXnY2dnh4uKipUiFEI869Wp3Xl4e8+bN48SJE9jY2JCfn88rr7xCx44dMTMzIzAwUFalhIYkVEIInREYGMjatWtp37695rXy8nIuXrzI2bNnSUlJIScnh5qaGoqLi1m4cCF9+/bVYsTiz1ZaWsqKFStYu3Yt4eHhjBkzhri4OM3X6+vref311xk3bhxt27bVYqRCCF0ycuRIKisrGT9+PI6Ojrz88svEx8dz4cIFzpw5w4IFC/Dw8NB2mOIRIXuohBA64eTJk9jb2+Pl5QXcObjX2NgYe3t7OnTooNkTk5+fT3JyMseOHSM8PFyLEYu/wrZt2zhy5Ajvvfcew4cPv+cw59zcXI4fP87FixdZv349zZo101KkQohHnbqE7/jx42RmZrJ8+XLatm1LaWkpSqUSHx8fmjZtytq1azl48CBPPfWUtkMWjwgp/BRC6ARnZ2feeustnJ2dgbs3ADc2NmoOdXV1daVPnz7Mnj1bJs8G4IcffqBHjx4MGjQI4J4uW+7u7nz88ceUlZXxySefAMiBnEKI/yopKYkWLVrQokULAH788UfN/x8ZGUmPHj04duwYIPcTcYckVEIIndCqVSuGDh36uxuAjYyMNK+rVCoaGhpkkDMA9fX13Lx5k8jISMzNzX/3PWZmZnTs2JHBgweTlpZGQUGBphugEEL8lnocadWqFbm5uVy7dg2AhIQEYmJiMDU1pba2lqqqKs0DO/XDPGHYJKESQugVhUKBsbGxTJoNQG5uLs2aNaOsrOx//r3btWtHRUWFnBMjhPifOnXqhJ2dHdOmTWPLli2cPXuWjh07AnfKjC9dukSfPn0AZKwRgCRUQgghdJS7uzvW1tYcOnQIQLMy+e+rkw0NDZSUlFBbW0vTpk21EaoQQodYW1uzbNkyHB0dmT9/PrW1tXz//fc888wzzJs3j0GDBtGuXTtAzrITd8hVIIQQQiepy/kOHTrEgQMHNCuT6ifG9fX1ANy4cYOEhAS6dOkCcE/jCiGE+Hc+Pj7Ex8czZcoUYmNjqa6uxsXFhTfffJO///3v2g5PPGKkbboQQgidVVRUxJtvvsnJkyd58skn6dGjB61atcLJyQlra2tyc3OZM2cON2/e5J133iEyMlIO4xRC/Ec1NTVcv36dqqoqXFxccHNzA+48oDE1NdVydOJRJQmVEEIInZabm8vChQvZu3cvlpaWeHp6Ym9vT1lZGQUFBZiamvL+++/To0cP2e8ghPiPqqqqWLx4MRs3bsTIyAgHBweCgoKIjo4mLCwMd3d3HBwcsLOz03ao4hEjCZUQQgi9kJqayu7duzlx4gRFRUX4+voSGBhIjx49CA4O1nZ4QohHlPpcw82bN/PRRx/x1FNP0bFjR06ePMmRI0e4dOkS9fX1uLi40KVLF9577z1thyweMZJQCSGE0Es1NTVYWlpqOwwhxCNOXQY8fvx4WrRowdtvv33XWYelpaWkpKSwc+dObGxsmD59uiYJEwJA+scKIYTQS5aWlqhUKinzE0L8V+o9le3ataO0tFTTLVSpVGJsbEyTJk3o0qWLprENIMmUuIvsyhVCCKG3JJkSQvw36kKtwsJC0tPT2bFjB6WlpSgUCkxNTTXJVkNDg3QIFf+RrFAJIYQQQgiDdu7cOZKSkqisrKRXr1507tyZTp06ERMTg6+vr6xIif9K9lAJIYQQQgiDlpKSwo0bN8jNzSUlJYXMzEwKCwtRKpW4urri4eHBhAkTaNOmjbZDFY8gWaESQgghhBAGq7Gxkfj4eGbOnElsbCz19fXk5OSQnp7OpUuXyMzM5OTJk4waNUrzfjnLTvyWJFRCCCGEEMLgqJvWnDx5khMnTlBTUwOAqakp3t7eeHt707dvX27dukVWVhZBQUEAkkyJe0hCJYQQQgghDI46oXJ2dqZv374UFRX97vusra0JCQn5i6MTukQSKiGEEEIIYXDUXUDfeustUlJSuHjxIqWlpURGRuLi4oKFhYWWIxS6QppSCCGEEEIIg9TY2Mi3335LamoqR48e5dq1a1hbWxMcHExMTAzR0dG0aNGCZs2aaTtU8QiThEoIIYQQQhisxsZG6urqqK2t1TSgOHnyJCkpKZSWluLh4cHevXu1HaZ4hElCJYQQQgghDNrt27cpLy/XrEQplUqKi4u5ePEiJSUlDB06lIaGBjmPSvwuSaiEEEIIIYRBqqmpIT4+nqSkJJRKJWVlZSxevBhXV1eaNm2KqamppnmFEP+J9H0UQgghhBAGQ72WUFJSwiuvvMJPP/2Ev78//v7+5OXloVAoWLJkCd988w2AJFPif5KESgghhBBCGIzGxkYAfv75Z3JycoiPj2fu3LkMGjQIe3t73N3dMTc356OPPuLq1avaDVboBEmohBBCCCGEwTly5AjR0dFERkYCsHXrVtq0aYOzszPjxo3D2dmZo0ePAv9a1RLi90hCJYQQQgghDIa6sYSzszNZWVma86YSExPp2rUrKpUKW1tbFAoFNjY2gCRU4r+ThEoIIYQQQhic/v37c/r0aVauXElSUhI3b96ka9euKBQKjhw5ws2bN+nYsSMARkYyZRb/mXT5E0IIIYQQBqexsZFPP/2U9evXY2lpSV1dHS+++CIFBQXs2rWLDh06MG/ePOnyJ/4nSaiEEEIIIYRBunXrFrt372br1q2cPn0aW1tbnJyc6NGjBy+88AJWVlaSUIn/SRIqIYQQQghhcG7fvs2VK1ewtLTE09MTIyMjrl69iqOjI46OjtoOT+gQE20HIIQQQgghxJ9NvdJUVVXFDz/8QHx8PI2NjdjY2ODo6Ejnzp15+umnJZkSf5isUAkhhBBCCL2nVCoxMTFhyZIlbNiwgdjYWDp06EBWVhYXLlzg6NGjeHp6smjRIgICArQdrtAhklAJIYQQQgi919DQgLGxMZ07d2bMmDGMGzdO0zIdID09nQkTJtC5c2fmzp0re6fE/5n0gBRCCCGEEHqrqqqKwsJCzflTQUFBNG/eHAsLC+rq6qivr0elUuHn58eoUaM4evQo+fn5kkyJ/zNJqIQQQgghhN768ccf6dq1K2PHjuWjjz5CoVCwYcMGAMzMzDA1NdUkTwEBARQVFeHq6qrNkIWOkYRKCCGEEELoLTc3N5544gmMjIzYs2cPly5d4vz584wcOZINGzaQlpYGwNGjR9myZQuDBw8G7pQICvF/IXuohBBCCCGE3issLCQ9PZ2LFy+SkZFBWloa1dXV1NfXU1lZSX19Pb6+vnz00Ue0aNFC9lCJ/zNJqIQQQgghhN5qbGzEyMjontdycnJITU0lLS2N1NRU8vLyKC8vZ+PGjTg7O2spWqGLJKESQgghhBAGISsri9raWlq2bImlpaXm9du3b3P16lVycnLo3bu3FiMUukgSKiGEEEIIobfUK1Q7duzgiy++ICMjAysrKyIiIoiOjqZjx44EBwejVCoxMzO7ZzVLiP9FEiohhBBCCKH3evbsSfPmzXnyySf59ttvycrKQqVSUV5eTsuWLbl16xaffvopkZGR2g5V6BgTbQcghBBCCCHEn0G9OnXq1CnKyspYtWoVPj4+5Obm4ubmxtixY/nHP/7Bzp07GThwIIGBgdoOWeggSaiEEEIIIYReUhdiJSYmEhoaioeHByqViqKiIhQKBaGhobz66qtcu3aNESNGYG1treWIhS6SIlEhhBBCCKGXjI2NgTsH+N66dYucnBwUCgXJycn4+fkBYGtri62tLadPnwburGoJ8UdIQiWEEEIIIfRa3759yc/PZ8eOHQBUVFRomk/U1dWRmZlJ69attRmi0GFS8ieEEEIIIfTObw/mdXd356WXXuLmzZsAxMbGsnHjRlq1asXWrVtpaGigQ4cOANLlT/xh0uVPCCGEEELopYqKCuzs7O55/fLly0ybNo3Lly/j5ubG1KlTiYuL+91DgIX4XyShEkIIIYQQekWlUrF582Y2b95Mly5dmDhx4j0NJ6qrq8nLy8POzg4XFxctRSr0gaTgQgghhBBCb5SWlvLBBx/w7rvvYm5ujr+//13JVH19Pa+++iqXL1/G19dXkinxwGQPlRBCCCGE0Bvbtm3jyJEjvPfeewwfPhylUnnX13Nzczl+/DgXL15k/fr1NGvWTEuRCn0hK1RCCCGEEEJv/PDDD/To0YNBgwYBYGJy9/qBu7s7H3/8MWVlZXzyySfAv86rEuJ+SEIlhBBCCCH0Qn19PTdv3iQyMhJzc/PffY+ZmRkdO3Zk8ODBpKWlUVBQoOkGKMT9kIRKCCGEEELohdzcXJo1a0ZZWdn/TJLatWtHRUXFPStYQvxRklAJIYQQQgi94O7ujrW1NYcOHQKgoaEBlUp1T0lfQ0MDJSUl1NbW0rRpU22EKvSIJFRCCCGEEEIvqMv5Dh06xIEDBzA2NkahUGhWq+rr6wG4ceMGCQkJdOnSBeCexhVC/BGSUAkhhBBCCL0xbNgwgoODeemll3j33Xc5cOAA2dnZ3Lp1C1NTU3Jzc3n33XfJz89nyJAhAHKYr3ggcrCvEEIIIYTQK7m5uSxcuJC9e/diaWmJp6cn9vb2lJWVUVBQgKmpKe+//z49evSQhhTigUlCJYQQQggh9FJqaiq7d+/mxIkTFBUV4evrS2BgID169CA4OFjb4Qk9IQmVEEIIIYQwCDU1NVhaWmo7DKFnJKESQgghhBAGQ6VSSZmfeKhkB54QQgghhDAYkkyJh00SKiGEEEIIIYS4T5JQCSGEEEIIIcR9koRKCCGEEEIIIe6TJFRCCCEeWU8//TQ9e/a8r++tqqqipKTkIUckhBBC3E0SKiGEEI+sF154gRkzZvzh70tJSaF///6kp6f/CVEJIYQQ/2Ki7QCEEEKI/6RTp0739X1paWncvHnzIUcjhBBC3EtWqIQQQgghhBDiPklCJYQQ4r7Mnj2b4ODge/YpVVdXEx4ezvTp01GpVGzcuJEnn3ySiIgI2rRpQ79+/Vi5ciW/PVe+Z8+evP3228yYMYPQ0FC6du1KSUnJ7+6hunLlCi+99BJRUVGEhYUxcuRIDh06pPn6559/zvTp0wF45pln6NmzJ4cOHSIgIID169ff83NMmTKFzp0709DQ8DB/PUIIIQyEJFRCCCHuy8CBA2loaGDXrl13vZ6QkEBNTQ2DBg3ik08+4d1338XX15fp06czdepUzM3NWbx4MRs2bLjr+7Zv305qaiozZsxg+PDhODo63vNvpqamMmLECK5cucLEiROZMmUKSqWS559/nh07dgDQu3dvRowYAfxrD1bHjh1p2rQpO3fuvOu/V11dzf79++nXrx/GxsYP89cjhBDCQMgeKiGEEPclMjISd3d3du7cyahRozSv79ixAxcXFyIjI3n55ZcZMGAACxcu1Hx92LBhdOjQgUOHDjF69GjN67dv32bp0qU0a9bsP/6bc+fOxdHRkR9++AErKysAxowZw9ixY5k3bx6xsbEEBgYSHh7O5s2b6dixIzExMQA89thjrF+/nsLCQpydnQH49ddfqampYeDAgQ/1dyOEEMJwyAqVEEKI+6JQKIiLi+PkyZMUFxcDd1qVHzx4kAEDBmBmZsbRo0d577337vq+0tJSbGxsqK6uvuv1Fi1a/NdkqrS0lBMnTtCtWzdu375NSUkJJSUlVFRU0Lt3b4qKikhOTv6P3x8XF0djY+NdK2rbt2/H09OTsLCw+/kVCCGEELJCJYQQ4v4NHDiQFStWsHv3bkaNGsXevXupra0lLi4OAFNTUxISEti3bx9ZWVlkZ2dTXl4OcNceKoCmTZv+138rJycHgHXr1rFu3brffU9+fv5//P7w8HBatGjBzp07GTNmDJWVlRw6dIjx48f/n39eIYQQ4t9JQiWEEOK++fn5ERAQwC+//MKoUaP45Zdf8PLyIiQkBJVKxaRJk9i/fz+RkZFEREQwYsQIoqOjGTt27D3/rf+1h0ndNGL06NHExsb+7nt8fX3/639jwIABrFixgps3b3L48GHq6+s1yZ8QQghxPyShEkII8UAGDhzIxx9/TE5ODkeOHOHFF18E4NSpU+zfv59JkyYxefJkzfuVSiVlZWV4enr+oX/H3d0duJN4dezY8a6vXblyhdzcXCwtLf9nrMuWLSMhIYEDBw4QEBCAn5/fH4pDCCGE+C3ZQyWEEOKBqPcmzZs3j/r6ek2Dh7KyMuDeVaNvvvmGmpoalErlH/p3XFxcCAkJ4YcffqCgoEDzen19PTNmzODVV1/V/DeNjO4Mb42NjXf9N3x8fAgODmbv3r0cO3ZMVqeEEEI8MFmhEkII8UBcXV2Jjo5m//79mn1KABEREdjY2LBgwQKuX7+Ovb09x48fZ8eOHZibm3Pr1q0//G+9/fbbjB07lqFDhzJq1CgcHBzYvn07SUlJvP766zRp0gRA03J948aNFBUV3dXFLy4ujg8//BCFQsGAAQMewm9ACCGEIZMVKiGEEA9MnbD8dsXHycmJlStX4unpybJly4iPjycvL4/4+Hieeuoprly5QlFR0R/6dyIiIti4cSMhISGsWbOGRYsWUVNTw8KFC3n++ec17+vQoQP9+/fnwIEDvP/++9TW1mq+FhcXh5GREeHh4ZoyQiGEEOJ+KVT/3mZJCCGE0GM3b96kW7duzJo1i6eeekrb4QghhNBxskIlhBDCoHzzzTeYmZlJuZ8QQoiHQvZQCSGEMAiLFy8mPT2dAwcOMHr0aOzt7bUdkhBCCD0gK1RCCCEMQnV1NYmJicTGxjJ16lRthyOEEEJPyB4qIYQQQgghhLhPskIlhBBCCCGEEPdJEiohhBBCCCGEuE+SUAkhhBBCCCHEfZKESgghhBBCCCHukyRUQgghhBBCCHGfJKESQgghhBBCiPv0/wA2ZvbrKARfYgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_grapes(plot_ita_luxury, 10,'dark')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 330,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/moebius/.local/lib/python3.8/site-packages/pandas/core/generic.py:5494: 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: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  self[name] = value\n",
      "/home/moebius/.local/lib/python3.8/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA1QAAAJ1CAYAAADe5rF6AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAADko0lEQVR4nOzdd1QU19sH8O8uSxMQBXtFURBFBBWJCvaCGo0dFHvBXrBrNIk92PsvVuy9RRMVxV6xxI6gKAJi1CgdpO68f/ju6lIUVmFW9vs5x3Nkdnb2mbszd+8z994ZiSAIAoiIiIiIiCjXpGIHQERERERE9L1iQkVERERERKQmJlRERERERERqYkJFRERERESkJiZUREREREREamJCRUREREREpCYmVFrk6tWr6NGjBxwcHODi4oK5c+ciISFB7LCIiIiIiL5bEj6HSjtcvXoVAwYMQI0aNdCpUyf8+++/2Lp1K2rUqIEdO3ZAKmVuTURERESUWzKxA6D8sXDhQpQuXRrbt2+HgYEBAKB06dKYNWsWLl68iMaNG4scIRERERHR94fdElogOTkZRYsWRffu3ZXJFADUq1cPABAUFCRWaERERERE3zX2UGkBfX19bNy4MdPyR48eAQDKlCmT3yERERERERUITKi0UEREBPz9/eHt7Q0rKyu0bNlS7JCIiIiIiL5LXxzyN2XKFFhbW6v8s7W1RbNmzTB79mzExMTkaYApKSl4/fr1N9/uwYMHYW1tDX9//2++bU0WHR2NZs2aYerUqUhOTsb06dOhr6+fZ58XExODYcOGwd7eHo6OjggICMizz1LHixcvYG1tjZUrV+bb9r71Z+YXa2trTJkyRewwAADh4eEqfzdr1gy9e/cWKZq8lXHfevfujWbNmqmsEx8fj8jIyPwO7YtWrlwJa2trvHjxItfvlcvlar1PLP7+/rC2tsbBgwe/uO6nx29e1Adinqv5fS4KgoCFCxfCyckJ9vb22LFjR759dm6IUWfl9DOyqlNyQtE+zG/fW93wtTIeO996e/lRX2hS+yG33r17h8TExC+ul+M5VFOnTsWCBQuwYMEC/PLLL2jRogX279+PwYMHIz09/auCzU5ERATat2+Py5cvf/NtOzo6YsGCBbC0tPzm29ZkEokES5cuhbe3NywtLdG/f3/4+vrm2ef98ccfOHPmDNzc3DBhwgRYWFjk2WeRdjhw4ADatWsndhiiGTp0KKZNm6b8+8GDB2jTpg2ePHkiYlRZa9myJRYsWAAzM7NcvS8+Ph7du3fHoUOH8igy8fzyyy8q319eWLBgAdzc3PL0M7Izbdo0DB06NN8+79y5c9iwYQPs7e3x888/o379+vn22Tml6XVWxjpFkxXkuiEr37q+WLNmDQYMGPDNtlfQnT9/Hq6urjm6YJnjIX8tWrRAuXLlVJZZWFhg5syZuHDhApo2bZr7SL/gxYsXeP78+TffLgCUL18e5cuXz5NtazJTU1O0bdsWAODq6ooff/wR8+fPR+vWrfPk84KCglCkSBFMnTo1T7ZP2ufGjRtITk4WOwzRNGzYUOXvx48f482bNyJF83nVqlVDtWrVcv2+6Oho3L9/v0DeffTSpUsoW7Zsnn7GTz/9lKfb/5wWLVrk6+cpbqo0btw4UXpLckLT66yMdYomK8h1Q1a+dX1x9erVPOsEKYju3buH2NjYHK37VXf5c3JyAgCNvDJKX2ZgYIAmTZrg33//zbPhQqmpqTAyMsqTbRMRkXZLTU0FAP7OEJGoviqhevXqFQCgQoUKKsuDg4MxYsQI1K1bF7Vq1YK7uzsuXryosk5KSgrmzp2L5s2bw9bWFo0bN8bMmTOVc7IOHjyIPn36APgw3DC7K09btmyBtbW18o51ABAXF4fq1aujffv2Kutu3rwZ1apVw3///ZdpDpXi78DAQIwfPx6Ojo5wcHDA8OHDM43VTU5OxtKlS9GsWTPY2tqiefPmWL58OVJSUr5YZvHx8Zg5cyacnZ1hb2+PoUOH4ubNmypj7xVj8Q8dOoT27dujZs2ayh6e//77DzNnzlSWW506ddCnTx/cunVL+RmK958/fx5TpkyBvb09bGxs4Obmlilxio+PBwC4u7vD1tYWLi4umDNnjnK5wvXr1+Hh4YG6devCwcEB7u7uOHPmTLb7qZgXcP36dURERGQaP7tv3z789NNPqFmzJn744QeMHz9epZyzm1eQcbni78OHD2Pp0qVo1KgRatasiW7duuHatWsq701LS8OqVavQrFkz1KpVC3369MHTp0+zjP/gwYPo2LGjMr4pU6Zk6gXIzfaykpqaivnz58PJyUl5rGXskY2Pj8fixYvh6uqKmjVrwsHBAd27d8fp06dV1gsKCsLAgQPxww8/wM7ODp06dcL+/fszfebZs2fh7u6OWrVqwdHREaNGjUJISEim9Xbs2IHWrVvDzs4OXbt2xT///JPj/fLz84O7uzvs7OxQt25dDB06FIGBgSrrWFtbY926dfDx8UGLFi1ga2uL9u3b4/jx45/ddu/evZVDPbIak33kyBG0a9cOtra2aN26NXbt2pVpG7dv30b//v3h4OAABwcHDBgwAPfu3cvRvh0/fhwdO3aEnZ0dfvzxR5w9exYDBw5UmaeQ3byFjMsFQcCuXbvQtWtXODg4oGbNmnB1dcW6devwueetfzrfYeXKlcq6oU+fPmjWrBkuXrwIa2vrLOeSeHl5wdnZOdsrlFOmTEHLli1x+/ZtdO7cGXZ2dnB1dc2yHCMiIjBx4kT88MMPqFmzJjp06IC9e/eqrJNxDtXKlStRs2ZNPH/+HEOGDIGDgwMcHR0xefJkREVFAfhQfzVv3hwAsGrVKpX3+/r6okuXLnBwcECdOnXQv39/lbovO7mpNy9fvoyZM2eifv36qFWrFvr27Zvp+E1MTMTcuXOV9fiIESNy1EtobW2NiIgIXL9+PdN8q7S0NGUdZmdnh+7du+P69euZtpGTuinjuWFtbY1ly5Zh6NChsLW1Rbt27ZCWlpZtjGvWrMHatWvh7OysPEc+/Y393DazOv7v3r2LwYMHo27dunBycoKnp2emx3Woc142a9YMq1atAgA0b95ceV40a9YM06dPx7Rp02BnZ4dGjRopf/tu3ryJfv36KT+nT58+uHHjRqbtzpo1C/v27VPWg126dMG9e/fw33//YcyYMXBwcICLiwuWLFkCuVyebYxi11k5+Yys5lDdvXsXffr0Ue7nypUrledjRvfv30fv3r1hZ2eHhg0bYt68eZl65F69eoVJkyYp64uOHTviyJEjKusIgoBVq1ahdevWqFmzJho0aICJEyfi33//BfD5uiErOakvBEHA1q1b8eOPP8LOzg7NmjXDokWL8P79e+U66enp2LBhA1q3bg1bW1s4Ozvj119/VWlPfa7dJpfLsWnTJri6un62nZXR5+qLL7WhstKsWTOVNlnG9tXmzZvRokUL1KxZE+3bt89yOkhO2xA58bm2glwuh5OTE4YPH67yHm9vb1hbW+PkyZPKZYp1f/vtt1zF+fLlS4waNQrOzs6oWbMm2rZti/Xr1yvP5ylTpqjUL1+aj5jjhCo2NhaRkZGIjIzE69evceXKFcyZMwc1atRQORGDgoLg5uaG4OBgDBkyBF5eXkhLS4OnpyeOHTumXE9RWbVr1w6//vorWrdujb1798LLywvAhzlOinHYbm5uWLBgQZZxNWrUCABUGs83btxAeno6njx5onLTjEuXLqFGjRooXrx4tvs5bNgwxMTEwMvLC+7u7jh37hzGjh2rfD09PR1DhgyBj48PmjVrhp9//hk//PAD/vjjD4wePfqzDaH09HQMGjQIe/fuhaurK8aPH4/o6GiMGDEiy/VnzZqFevXqYeLEiWjevDmSkpLg4eGBEydOoFOnTvj111/h7u6OBw8eYNCgQXj37p3K+3/77Tfcv38fo0aNgkwmw507d9C7d29l4hcREYGjR48CAOrWrYvp06fD1dUVu3fvRp8+fZQV4rNnzzBkyBAIggAvLy9MmDAB79+/x/Dhw3Hz5s0sYzczM8OCBQtQuXJlFC1aVGVMv7e3N6ZPn46iRYti0qRJ6NatG86cOYNu3bqpPdF0+fLlOHXqFAYMGIDRo0fjxYsXGDJkiLKRBgDTp0/HypUr4eDggEmTJqFQoUIq363CqlWrMHXqVFSoUAFTp06Fm5sbTp06BXd3d5UKNKfby862bdtw6tQpDB48GP3798e1a9fQs2dPvH37FsCHin7IkCHYvn07WrZsiV9++QUDBgxAREQERo4cqWyQREZGYuDAgXjz5g2GDRuGadOmwdjYGD///LPy+wU+NMSGDRsGQ0NDTJw4Ef369cPt27fRvXt3lYpm5cqVmDVrFsqXL4/JkyfD0tISAwcOzNE+7dixAyNGjEBqairGjRuHfv364d69e+jRo0emBsCuXbuwefNmdO/eHZMmTUJiYiK8vLzw+PHjbLc/dOhQ1K1bF0DmeSL379/H3Llz4erqiqlTp0JPTw+//fYb/Pz8lOtcvnwZvXv3RlxcHMaMGYNhw4bh5cuX8PDwyPZYVjh8+DDGjh0LmUyGiRMnwtHREaNHj0ZwcHCOyiajZcuW4bfffkOVKlUwdepUjBs3Dvr6+li8eDF27tyZo220bNlSWQaKeRANGjSAubk5Tpw4obJuYmIizp49C1dXV+jo6GS7zejoaAwaNAgWFhaYNGkSSpQogd9++w1r165VrhMeHo6uXbvi9OnTyu/P1NQUM2bMyLauVpDL5ejTpw+MjIwwefJktGrVCocPH1b+GFpaWiobIp/Owbp+/Tq8vLxQvHhxTJ48GSNHjkRYWBj69+//2Unbua03p0+fjoCAAAwfPhyDBw9WJgOKBEQQBAwdOhTbt29H8+bNMWHCBMTExOCXX3757H4DH47ZokWLonLlyliwYAEcHR2Vr23ZsgWnTp3CwIEDMWLECDx//hyenp4qN2XKad2UlS1btiA1NRXTp09Ht27dIJNlP+J/37592LBhA9zd3ZWNHA8PDzx79izX27x58yY8PDzw9OlTDBo0CMOGDUNwcDD69OmjrO/VPS+nTZumvEvt1KlTVeaa/P333wgKCsK0adPQvXt3mJmZ4fTp0+jduzf+/fdfDBs2DMOGDcO///6Lfv36ZbpI5efnh+XLl6Nr164YOXIknj17hlGjRqF///6QSqWYMmUKrKyssHbtWvz555/ZxihmnZXTz8jowYMH6NOnDyIiIjBixAh0794dW7duxbZt27Jcv2/fvrC0tMS0adNQs2ZNbNmyBYsWLVK+/vr1a3Tr1g1XrlxB7969MXnyZBQtWhQTJ07Ehg0blOv98ccfWL16NVxcXPDLL7+gW7du8PPzw4ABA5Cenp5t3ZCVnNYXM2fOxNy5c1GuXDlMnjwZzZo1w6ZNmzBx4kTlOl5eXli4cCGsrKwwdepUuLq6Yv/+/ejRo0em4WAZ220A8PPPP2PRokWoXbt2tu2srGRXX6jbhpo2bZpKm+zTOzyfOHECPj4+6N69O8aPH4+4uDiMHTsWDx8+VK6T0zZETnyprSCVSuHs7IwbN26oXLBQdIJ8euzfv38f0dHRaNKkSY7jTE1NxaBBg/Dw4UP069cPM2bMQKVKlbBo0SKsW7cOwIfc49P65YtzQ4UvmDx5smBlZZXlPzs7O+HOnTsq6/fq1Uto0aKFkJCQoFyWmpoq9OzZU2jQoIGQnJwsCIIg2NnZCTNnzlR579KlS4XOnTsL8fHxgiAIwrVr1wQrKyvhwIEDn42xefPmgqenp/LvefPmCS4uLoKVlZVw+vRpQRAEISkpSbCzsxNWrFghCIIgHDhwQLCyshKuXbum8vfIkSNVtv3LL78IVlZWQkhIiMp6Fy5cUFlv9+7dgpWVlXDq1Kls4zx06JBgZWUl7N27V7ksJSVF6Nq1q8p+KvZ74MCBKu//+++/s/zsXbt2CVZWVoKvr6/K+xs3bizExcUJgiAIhw8fVn5vXl5ewsqVK4U6deoIVlZWwrJly1S2d/HiRcHKykrYvHmzIAiCsG7dOsHKykp49+6dcp3IyEihVatWwtatW7PdX0H4cDw0bdpU+feTJ08Ea2trYcSIEYJcLlcuv3PnjmBtbS2MHj1aEARBCA8PF6ysrJTfl0LG5Yq/GzdurHLMKcpqz549giAIQmBgoGBlZSXMmTNHZXuK41uxvbCwMKFatWrCokWLVNYLCgoSatSoIcydOzdX28uKIubatWsLb968US739/cXrKyshPnz5yvLxMrKSti1a5fK+y9cuCBYWVkJmzZtUtnXe/fuKddJTk4WOnXqpNyPuLg4oXbt2oKXl5fKtt68eSM4OjoKw4cPFwRBEN69eyfY2toKw4cPV/l+VqxYIVhZWQmTJ0/Odr8iIyOFWrVqCV27dlWe54r9rVWrltClSxflMisrK8He3l5l/xX7u2TJkmw/QxA+lvGnmjZtKlhbWwsPHjxQLnvx4oVgbW0tTJw4URAEQUhPTxeaN28uuLu7C2lpacr1EhIShJYtWwo//fRTtp+ZlpYm1K9fX3B1dVXZt61btwpWVlZCr169VGL59O+slqekpGT5fcTFxQm2trbCkCFDst1exnMqY10mCIIwe/ZsoVq1airle/ToUcHKyipTnf0pRdl+elynpaUJHh4egp2dnRAdHS0IgiCMHTtWqFatmkp5p6enC0OGDBGsra2Fx48fC4Lw8bgJDw9X+VtxjCsMHDhQqF69upCYmCgIQtbn/6+//io4ODioHJeBgYFCq1athOPHj2e7T7mtN7t06aJyfKxdu1awsrISLl26JAiCIJw5c0awsrISfHx8lOukpqYKffv2zdHvVcbvU7GvLi4uyvpaED7+Xuzbt08QhJzXTYIgZDpXrayshLp16wrv37//bGyKdTN+t8HBwUL16tVVjtfstplx/7p27So0bNhQiIyMVC579uyZUK1aNcHb2/urzktByHyMKWKoVq2a8OrVK+Wy1NRUoVGjRiq/i4IgCDExMYKLi4vg4uIipKSkKN9vbW0tBAYGKtfz9vYWrKyshLFjx6rEWKNGDWHcuHGfjVGMOiunnyEImeuUPn36CI6Ojiq/+Q8fPhSqVaumsh+K/fr0XEhPTxdatmwpNG7cWGW9evXqCa9fv1Yuk8vlwrhx4wRbW1vh7du3giAIQps2bVTacoLw4Tzt0KGDEBoaKghC9m2DjHJSXyjaI9OnT1d575IlSwQrKyvhyZMnwvnz57P8rT927JhgZWUleHt7C4KQfbtNsTzj73jGdlZ2Mp5POW1DZSfjdy0IH3+P//33X+Wy69evq7QPc9qGyM6ndVJO2wqKOlDRtomJiRGqVasmuLi4CJ06dVK+b+XKlYKdnZ3w/v37HMd59+5dwcrKSuW3Qy6XCwMGDBAmTZqkXJZV/ZKdHPdQLVy4ED4+PvDx8cG6devw66+/oly5cvDw8MCVK1cAAFFRUbh+/ToaN26MpKQkZY9WbGwsWrZsibdv3+L+/fsAgFKlSuHYsWM4ePCgMsMfO3YsDhw4kOux0I0aNcLNmzeVw1j8/f3RoUMHFC1aVJnF3rhxA0lJSV+cyNimTRuVv21sbABA2Wtw8uRJmJmZoUaNGsr9i4yMROPGjaGjo4Nz585lu20/Pz+Ympqic+fOymW6urro379/lut/evUSANq2bYurV6/C2dlZuezTYYYZb+vYs2dPGBsbA/gwSXnRokXQ0dHBsWPHsHXrVhQtWhQSiQTdu3dX2Zfq1aujePHiyn0pVaoUAGD27Nl48OABAKBo0aLw9fXN9W1fz549C0EQ4OnpCYlEolxeq1YtNGzYEOfPn892KMrnNG7cGIUKFVL+rZgI/99//wGAcsipu7u7yvsUw0oVTp06BblcjmbNmqmUSbFixWBjY6Msk5xu73N++uknld7SevXqwdraWvkZtWrVwo0bN1SOl/T0dOXVmoSEBAAfv5/FixcrzwM9PT0cPHgQ48ePB/DhKmd8fDxatGihsl86Ojr44YcfcOnSJaSlpcHf3x8pKSno3r27yveTk+/56tWreP/+Pfr37w89PT3l8nLlyqFDhw64f/++ytCkOnXqqOy/4lxTfGe5ZWFhgRo1aij/Llu2LMzMzJTnbkBAAMLDw9GiRQvExMQoyyApKQlNmzbFo0ePsn1Ew/379/Hu3Tu4ubmp7JubmxtMTU1zHauuri6uXLmCWbNmqSyPioqCsbFxjm7R+jk//vgj5HK5ypCNv//+G+XLl0etWrW++P4hQ4Yo/6+jo4M+ffogKSkJV65cQXp6Os6dOwdnZ2eV8pZKpRg6dCgEQfjscGAg63o2LS0N0dHR2b6nVKlSSEhIwJw5c5RDa62treHr6wtXV9ds35fberNVq1YqPXgZj8sLFy5AKpWiW7duynVkMhk8PDyyjSEnmjRpoqyvAaBmzZoAPv725LRuyo6dnR0MDAxyFEvDhg1VvltLS0u4uLjg3LlzKleLv7TNd+/e4d69e2jfvj2KFi2qXF6pUiUcOHAAgwcP/qrz8nMqVKiAkiVLKv8OCAjAq1ev4OHhoVLOhQsXRq9evfD69Wvl75vi/Z8Ob6tUqRIAqFzVL1SoEMzNzTWyzsrpZ2QUExOD69evo0OHDiq9P9WrV8/25hWf3sFQKpWievXqyu3L5XL4+fmhbt26kMlkyn2IiopCq1atkJKSoryTc6lSpeDv748tW7Yo3+/u7o4///wz09SSL8lJfXHu3DkIgpDp923gwIE4cuQIKlSooKzLPq0TgQ91WKVKlTL1bGZst508eRISiQSNGzf+bDsrp/KqDVW7dm1lWwLIXP/ktA2REzltK7i4uEAikShHoF2/fh1SqRS9evVCYGCgcsjkpUuX4OTkBAMDgxzHWaJECUgkEqxduxYXL15ESkoKJBIJNm7cCG9v71yXH5CLu/zVrl07013+2rRpg1atWmH27Nk4fvy4sht127Zt2XYNK8bC/vbbbxg7diymTp2KGTNmwN7eHi1btkSXLl1gYmKSq51o1KgRduzYgfv378PCwgKBgYHw8vLCs2fPlAnVpUuXYG5urjxIsvNppQ9A+WUrkrWwsDBERkZme2tWxf5lJTQ0FOXKlcs03KZy5cpZrp9VV7ZEIsG6detw+/ZthIWFISwsTDkpN+M47ipVqqj83b59e/j4+CA5ORl///03Bg8ejLCwMGU3aUaKxNbV1RWnTp3CsWPHcOzYMRQvXhyNGzdGp06dlEMZckrRHa34cfqUpaUlLl26pDJML6cylpXie1OUSUREBABkurNjxrIPCwsDkDlRUtDV1c3V9j4nq3UrVKiA8+fPK/+WyWTYvXs3rl+/jtDQUISFhSEpKQkAlMNLa9eujT59+mDbtm24evUqihQpAmdnZ7Rv31753Sr2SzGkNiuRkZHK/cr441WkSBGYm5t/dn8U321W+6V4PMHLly9RokQJAF/+znIrq/gMDAyU54eiDBSPf8jKy5cvVRphny4HMn/fenp6at8tVFdXF+fOncPp06cREhKC0NBQ5RBl4TNDh3PC3t4eFSpUwIkTJ9CrVy/ExcXh4sWLORq6WaRIERQrVkxlWcWKFQF8OO6joqKQmJiY7TmsWO9zsvvuP3f3qV69euHSpUvYvn07tm/fjnLlyqFp06bo2rXrF+8kmJt6Myd1ibm5eaYLf7k597OS8fhVPB8w4/H7pbopO7m5dX3G3w7gQ8P87NmziI6OVm7rS9tUHAeK4+dT1atXB/ChcQWod15+Tsby/Nxvj+K7e/nyJRwcHLJ8v+J3O+M+6+joqH2+5mWdldPPyCg8PBxyuTzL76xy5cqZ5sNn9Rmfbj8qKgpxcXHw8/PLdpihot00adIkDBs2DPPmzcP8+fOVU0q6d+/+2akaWclJfaE4PjM+zqVw4cIoXLgwgA/HTeHChTPVicCH+u7ChQsqyzIeH2FhYRAE4YvtrJzKaRsqt+WV1XcIZK5/vtSGUPy+f05O2wr29vaoUaMGrl27hsGDB8Pf3x/Vq1eHi4sLFi9ejH/++Qf29va4d+8efv7551zFWapUKUycOBFLlizBoEGDUKhQIdSvXx9t27ZFmzZtPjssPjs5TqiyUrRoUTg5OeHUqVOIiYlR/hh6eHhke+tURUVdv359nD17Vvnv8uXLmD9/PjZv3oyDBw/mqvL/4YcfoK+vj2vXruG///6DVCpFnTp1EBISopxceOnSJTRq1Eglo8+KVPr5Trv09HRYWFjg119/zfJ1xUmYlezuePdphv6pjF/os2fP0KNHD6SmpsLZ2Rlt27aFjY0NBEHIch5WVj+w6enpyn2Uy+UwMjJSTrrLSPGDrqurixUrViAoKAinTp3ChQsXcPDgQezfvx/jx4+Hp6dntvuc0ed+eBQNFl1d3WzHFWfX2P7S96b43pOTk1XKO+P2FH//73//++yV15xuLycxfUoQBOX3HhkZiW7duuHNmzdo2LAhmjVrhmrVqqFs2bIqV8eBD2O0e/fuDV9fX1y4cAG+vr7466+/4ObmhlmzZinjmj17dqYLIwqmpqYq+5WRuomOYr8A1WPyS99Zbn1pe4r4x4wZA3t7+yzX+VKjOKvjN6cPxv40WRAEAcOHD8fZs2dRp04dODg4wM3NDY6Ojujbt2+Otvcl7dq1w9q1a/HmzRtcunQJqamp+PHHH7/4vqzqDUXZfanxqFgvuzpN4Uv1cFaMjY2xfft23LlzB35+frhw4QK2bduGHTt2YMGCBZluQqSQ23ozJ3XJtz4/cvK5Oa2bspObBkJ2vx2Aapxf2qYi5s9939/ivMxKxtg+d9xmVT9lN8dMnWM3O/lRZ+W2nlX0MmR1DmdX133uMxTHTevWrbO9GKC4KFWtWjX4+vri4sWLOHv2LC5evIgVK1bAx8cHe/bsydVzQ3NSX+Tk9uFfqu8ynisZj7uctrNyKqdtqNzK6bH4pTbE18p4LjZu3Bg+Pj5ITU2Fv78/nJ2dYW1tjcKFC+PWrVtITExEenq6cvRZbuIcOHAgfvzxR5w6dQrnz5/H5cuXcfr0aRw+fFhlbl9OfVVCBXwMXiqVKu+Vr6OjgwYNGqisFxwcjBcvXsDQ0BApKSl49OgRSpUqhXbt2qFdu3aQy+Xw8fHBggUL8Pfff+dqKJmBgQEcHR1x7do1REZGwsbGBsbGxnB0dERqaip8fX3x5MmTbG/+kBvlypXDgwcP8MMPP6gcgKmpqTh16pRKl2lG5cuXx/379yEIgkqlHBoamqPPXr9+PWJjY3H8+HGVKyqf3njgU4pM/dMYIyIilL1rZcuWxaVLl2Bra5spETxx4oSyl+Lly5d4+fIl6tatC2tra4wcORKvXr1C3759sXHjxlwlVIoD/NmzZ5mGHoWEhKBQoUIwNTVV3mEn450T1R1aoaiwnz9/rtJLmXEyu+IYLl26tHKoj8L58+eVQ0Vyur3PyWry6PPnz5Xb3rlzJ168eIHNmzer9IhmvOPe27dv8eTJE9SvXx+DBw/G4MGDERUVhREjRmDv3r2YOHGicr/MzMwynZv+/v6Qy+UqvS3Pnz9XueofHx//xZ5DxWc8e/YsU4+BYjL7586PvKaIr1ChQpnK4N69e4iJicm2oao437J6Ll54eLjK+SiVSjMdt2lpaYiKilKeUzdv3sTZs2cxfPhwjBkzRmW96Ojob/KMvPbt2+N///sfzp07h/Pnz8Pa2hpVq1b94vvevn2LhIQElYs/iv2uWLEizMzMUKhQoUw3KACgnPCbF99zSEgI4uLiYG9vD3t7e0yYMAHBwcHw8PCAj49PtglVbuvNLylfvjzOnTuHyMhIlQt/uTn31ZHTuulbyPjbAXz4nSpSpAiKFCmS4+2ULl062+0tXLgQpqamyiFS6pyXufFp/ZRRXh63X+Nr6ix1ffobkFFO2yqfMjMzg6GhIdLS0jLtw8uXLxEQEABDQ0Okp6cjMDAQxsbGaN68ufKGDseOHYOXlxf27duX6Q6Jn5OT+qJMmTIAPpy7nyZrr1+/xvz589GrVy9lO+nt27eZeqlCQkKUx3h2ctrOyqmctqG+tZy2IXKzrZy0FRo1aoTVq1fj4sWLePz4McaNG6fsNLlx4wbevXuHKlWqKMslp3FGR0cjMDAQtWvXRq9evdCrVy8kJiZiypQp8PX1RVBQUK6fa/dVl4jfvn2La9euwcbGBiYmJihRogRsbW1x6NAhlXG9qampmDZtGkaPHq1sWLi5uancNUoqlSobpopERZHp5+TKX6NGjfDPP//g6tWrqFevHgAo41q1ahVkMpnKGHp1NWvWDNHR0ZluO7p79254eXkphy9kpWXLloiKilK5NbRcLsfu3btz9NnR0dEwNDRUVgLAh4RD8f6MV1v27Nmj0q2/b98+xMXFoVWrVsp9AT5c8fzUmTNnMGbMGGWD448//kC/fv1UvtNSpUqhRIkSub76pXgA9Pr161WutDx8+BBXrlxB48aNIZFIUKRIEchksky36v3SbbWz07x5c+jo6MDHx0dlecZbSyviW7t2rUp8jx49wrBhw7Bly5Zcbe9zjh8/rnLb1PPnzyM4OFjZu6uYT/Lp8BtBELB9+3YAH68kHjx4EP369VPOTwQ+9B5XrFgREokEUqkUDRo0gL6+PjZs2KByTLx+/RrDhw/HokWLIJFI0KBBAxQqVAhbtmxRGQ+dk/1SfIaPj49KQvHq1SscPXoUdnZ2Xxw2mBOf9rDmhq2tLYoXL45t27Yp558BH5JFxfDj7K64V6tWDRUqVMDu3btV5tycOHEi0y2rixUrhpCQEOXQTODDOfVpr0ZW3y0A7N27F+/fv8/VGPjsysPS0hLVq1eHn58frl69mqPeKeDDMfbp952WloYtW7bAxMQE9evXh46ODlxcXHD58mWVO0AJgoD169dDIpFkO7wlp7Kq++fMmYPhw4erfHeVK1dG4cKFP1sP5bbe/BLFHJpNmzYplwmCkOM7M0qlUrV6s3JaN30LZ86cURm2+fjxY1y6dEn525FTJUuWRLVq1fD333+r1HXh4eHYunUr3r59+1XnZW4o7vC7a9culVji4+Oxc+dOFC9eHLa2tl/9OVkRo85Sl7m5ORwcHPDXX3+p3CU5PDw80/C2nJDJZGjUqBHOnz+f6fEDv//+O0aMGIGoqCikp6ejT58+mDdvnso6iqQht+3CnNQXil6NjO25gwcP4vjx4zA2Nla2kz5trwIf5sSHhIR8sa7LaTsrOxnri5y2oXK6vZzKaRsiN9vKSVvBzs4ORYoUwZo1ayCRSFCnTh0AH56De+/ePVy4cEHl3gg5jfPy5cvo27evynzfQoUKwcrKCsDH40xxrORkWG+Oe6j8/PyU84sEQcCrV6+UP/6fjlWcPn06+vbtiy5duqBHjx4oUqQI/v77b9y9exfjx49XbqN9+/bYuXMn3r9/DwcHB0RHR2P79u0oVqyYcsKyYt0jR45AEAR06tQp2274Ro0aYd68eXj8+LEyHqlUirp16+Ls2bOoV69erudmZaVbt244dOgQZs+ejYcPH8LOzg6PHz/Gnj17UKNGDZUbCGTUqVMn7N69G5MmTcLt27dhYWEBX19f3LlzB8CXhxI0atQIZ86cwZAhQ+Dq6oq4uDgcPnxYefXv04oD+HCFqVevXmjfvj1CQkKwa9cu1KtXTzmBtHHjxmjevDk2bdqk7LmKiIjAjh07UKZMGeV8Cw8PD/z555/w8PBQTsK/du0arl+/jtGjR+eq/KpWrYrevXtj27Zt6N+/P1q0aIH//vsP27ZtQ+HChZU3UTA0NETz5s3h6+uLn3/+Gfb29rh27Rpu376tVnd2hQoV0L9/f2zYsAGJiYlwcXHBrVu3lDdUUbCyslLGFx0djRYtWiiPTSMjI2VvQk639znv37+Hh4cHunfvjtevX2PLli2oWLGistwbNWqEbdu2YciQIejatStSU1Nx/PhxPHjwAFKpVPl9d+zYET4+Phg6dCh69OiBkiVL4sGDBzh8+DA6deoEIyMjGBkZYdy4cZg/fz7c3NzQoUMHpKWlYefOnUhOTsbkyZMBfBgmMXHiRMycORN9+/ZFmzZt8OTJExw5cgSGhoaf3Z+iRYsqP6NHjx5o3749EhISsGvXLsjlckyfPj3HZfM5il6BFStWwMnJKdv5jBnp6upi+vTp8PLyQufOndG1a1fo6+tj3759ePnyJRYtWpRt/SKVSvHbb7/B09MTbm5u6NKlC96+fYtt27ZlOh5//PFHzJ49G4MGDUKHDh0QGhqKvXv3qjzt3sHBAcbGxpg/fz4iIiJgamoKf39/HDt2DPr6+pnO5ZyUx65du/D27VuVnpoff/wRCxYsgEQiUZk4/iVr1qxBREQEqlatiuPHj+P27duYO3eu8hiYMGEC/P390bt3b/Tu3RvFixfHqVOncO3aNfTv3z/LOTi5UaRIEUilUpw+fRplypRBq1at0L9/fwwePBgeHh7o2LEj9PX14efnh7CwsM9OIs5tvfklTk5OaNOmDdavX4///vsPdnZ2OHPmjEpy+TlmZmYIDAzEzp07Ua9evRz3MOS0bvoWJBIJevTogd69eyM1NRVbtmyBmZkZRo0alettTZ06FYMGDUKXLl3QrVs3SKVSbN++HYULF8bgwYO/6rzMjU8/p0uXLujatSsAYP/+/Xjz5g1WrFjxzYchK4hRZ32NyZMno3fv3ujatSvc3d2RkpKCbdu2qT2sVVFfeHh4wMPDA2XKlMG5c+dw9uxZuLm5KXvOe/fujf/9738YMWIEXFxckJSUhD179sDQ0BBdunQBkHXdkFWPTE7qCxsbG3Tr1g3btm3DmzdvUL9+fQQHB2P37t3o2LEjqlWrBmtrazRv3hxbt27F69ev4eTkhOfPn2PXrl0oX758pptVZJTTdlZ2MtYXOW1DfW57N27cwKZNm1CnTp0c3aRI8b6ctCFyIjdtBcXt0//66y/UqFFD2Y5XjEB7/fq1SlKb0zibNm2KSpUq4eeff8bDhw9RoUIFPHv2DDt27ED9+vWVv2GKc3fDhg1o1KiRsuc0Kzk+E+fPn6/8v46ODkxNTVGzZk3MnTtXpXJwcHDArl27sHLlSvj4+CAtLQ2VKlXC77//jk6dOinXmz17NsqXL4+///4bf//9NwwNDVG/fn14eXkpd8DS0hK9e/fGwYMHcf/+fTg5OWXbPVqpUiVUqFABL168UGawikI/e/bsF+/ul1N6enrYvHkzVq9eDV9fXxw5cgQlSpRAjx49MGLEiM82OnV1dbFhwwYsXLgQR44cQXJyMho2bIiZM2diypQpX+wudXd3R2xsLPbt24c5c+agWLFisLe3x6pVq+Du7o5r166hX79+yvUnTJiAO3fuYNGiRTAxMUG/fv0wevRo5Y+GRCLB8uXLsWHDBhw+fBhnzpyBmZkZWrVqhTFjxii7t62treHj44PVq1dj06ZNiI+Ph4WFBWbMmKHWna1+/vlnVKpUCbt378bvv/8OU1NTtGzZEqNHj1ZpdM6cOROFChVS3hCjfv362LZtW46vtGc0ceJElChRAjt27MDly5dRvXp1rFu3Lsv5SJUrV8bu3bvh7e0NExMT1K1bF2PGjFEZFpDT7WVn5MiRePLkCZYuXQrgw5XvyZMnK4fuNGrUCHPmzMGmTZuU5VSjRg3s2bMHM2bMUD6PoUSJEti6dStWrFiB3bt3Izo6GmXLlsXIkSMxePBg5ef169cPJUuWhI+PD5YuXQoDAwPUqFEDCxcuVDlnevbsCRMTE6xbtw7e3t6wsLDAmjVrclRh9uvXDyVKlMCmTZuwZMkSGBoaol69ehg5cmSuu8+z06NHD1y7dg0bNmzA/fv3c9w4AT7cYMXU1BT/+9//sGbNGkilUlStWhX/+9//lFf+stOwYUPlfi1evBhlypTB/PnzVZ63Anwov+joaOzfvx+zZ89GtWrVsGrVKmzatEnZu1WsWDGsW7cOixYtwv/+9z/o6emhUqVKWLJkCe7du6e8ep/VROiM6tevjzZt2uDs2bO4du0aWrVqpRyX/+OPP2LRokWoVauWyrn1JRs3bsRvv/2GQ4cOoUqVKli1apXK3c0qVKiAvXv3YtmyZdi9ezeSkpJgaWmJuXPnKhuqX8PQ0BBeXl7YuHEj5syZgwoVKsDZ2Rn/+9//sHbtWqxZswbJycmoWrUqlixZ8tlkMbf1Zk4sXLgQlSpVwqFDh3D8+HHUrVsXS5YsyfaOrZ8aNWoUfv31V8ybNw8jRozIdqhiVnJaN32tNm3aoHz58tiwYQPkcjkaNmyorO9y64cffsCWLVuwYsUKrF69Gvr6+nB0dMTEiROVE+e/5rzMDcXnrFmzBqtXr4ZMJkOtWrUwd+7cXN9gKTfEqrPU5eDggA0bNmDp0qVYtmwZihQpgt69e+Pp06dZPuz1SxT1xYoVK7B3714kJiaifPnymDp1qsr0jtGjR6NIkSI4cOAAvL29oaOjg9q1a2PhwoXK4zurusHJySnTZ+a0vpg1axYsLCywb98+nDlzBmXKlMGIESMwaNAgAB/bSevXr1e2k8zNzeHm5oZRo0Z9dt78p+//UjsrOxnriypVquS4DZWVQYMGISgoCEuWLEHnzp1znFABOW9D5HRbOW0ruLi44K+//lI5RxUj0IAPN+bKbZyFChXCpk2bsGLFChw9ehRv375F8eLF0bNnT4wcOVK5rXbt2uHkyZM4ePAgrl+//tmESiJ87e2kKMeio6NhZGSU6Yq2r68vRo8enWmujLr8/f3Rp08fzJ8//7M9ZkT09Zo1a4ayZctme2dTMb158waNGzfGjBkz0LNnzy+uP2XKFBw6dEj50GjSPtbW1ujUqRN+//13sUMhkWR3MUfxkOfc3uqbSBvkTf82ZWnr1q2wt7fHq1evVJb//fffkMlkytvIEhF9C3v37oWenl6uhvsRkXbr1q1bpqFob9++hb+/P+zs7ESKikizffvBt5Sttm3bYt26dRgwYAC6d++ufAjZyZMnMWzYsDy5MwsRaZ/FixfjyZMnOH/+PDw8PFi3EFGOdejQAX/88QfGjx8PJycnxMbGYu/evZDL5d/kbslEBRETqnxUpUoV7NixA6tWrcLatWvx/v17WFhYYPbs2ejevbvY4RFRAZGYmIhr166hRYsWGDdunNjhENF3RDG3Z+/evTh9+jT09fVRu3ZtrFix4pvNhSUqaDiHioiIiIiISE2cQ0VERERERKQmDvnLR4IggP2BRERERJSXJJIvP9+Uvh0mVPlIEIB37+K/vCIRERERkZrMzY3BfCr/cMgfERERERGRmphQERERERERqYkJFRERERERkZqYUBEREREREamJCRUREREREZGaeJc/IiIiIvomBEGO9+8TkJT0HgKfFfPNSSQSGBgYwtDQCBIJ+0U0Bb8JIiIiIvomYmLeITY2EunpaWKHUiClp6chNjYSMTHvxA6FPsEeKiIiIiL6aikpSUhKSoSRkSmMjU35YNk8IAgC4uNjkJAQg5SUJOjpGYgdEoE9VERERET0Dbx/nwCJRApj48JMpvKIRCL5//KV4v37BLHDof/HhIqIiIiIvppcng4dHRnn9uQxiUQKHR0Z5PJ0sUOh/8cjnoiIiIi+mlwuMJnKJxKJFHI5b/qhKXjUExERERERqYkJFRERERERkZqYUBERERER5VJiYgKioqLEDoM0ABMqIiIiIqJcCAx8hJ49uyIk5KnYoZAG4HOoSOv4+1/Fli0bERT0CFKpFNWr18TgwcNga1tT7NCIiIjoO/DsWTDevv1P7DBIQ2hND5VcLseuXbvQvn17ODg4oEWLFpg/fz7i4+Ozfc/NmzdhbW2d6d+QIUPyMXL6lm7fvoUJE0YjPj4Onp7D0b//YLx8+QKjRnkiIOCB2OERERER0XdGa3qoNmzYgGXLlmHgwIGoX78+QkJCsGLFCgQHB2Pjxo1ZvicoKAiFChWCj4+PyvLChQvnR8iUB1asWIwSJUpi3botMDD48HRxV9d28PDohnXr1mDZsjUiR0hERETqevjwAXx81uHBg3uQSnVQo4Ythg4dBUvLKgCAu3dvY9Om9QgIuA8AsLGpgQEDPGFvX1u5jdjYWKxcuQS3bt1AVFQkihcvgWbNWqJ//8HQ19fHxo1r4eOzHgAwevRQlCpVGvv3H83/nSWNoRUJlSAI2LBhA9zc3DB+/HgAQIMGDVC0aFF4eXnh0aNHsLGxyfS+wMBAVK1aFfb29nkan5GRPmSygtlZmJYmR0JCsthhAPhQQQYHP4G7ey9lMgUAZmbmsLevjRs3rokYHREREX2Nu3dvY+zY4TA3L4aePfvAwMAAe/fuwqhRQ7Bx4zY8ffoE06ZNRJky5dC370AAwNGjhzFmzDDMnbsAzs6NAQC//DIFT54EoVu3HjA3L4YHD+5h+/bNiImJweTJP6Nx42Z49+4tjhw5hN69+8PGpoaYu00aQCsSqoSEBHTo0AFt2rRRWV65cmUAQFhYWJYJVXaJ1rcmk0khSU5GbFBonn9WfipsXREyfX2xw1AyMjLCzp0HYGhomOm1mJho6OjoiBAVERERfQurVi1D4cKm2LhxG0xNiwAAfvihIXr16ob9+3fj7NnTKFasODZu3AojI2MAwE8/dUGfPm5YvNgbP/zQEHFxsbh58zqGDx+Dnj17AwDat+8IQRDw8mUEAKBKlaqwtbXDkSOH4OjohNq164qyv6Q5tCKhMjY2xvTp0zMt9/PzAwBUqVIl02vp6el48uQJihYtik6dOuHJkycoVqwY+vTpg/79+0MikXzTGGODQuHvOfubblNsTutmwMTOSuwwlHR0dFC+fIVMy4ODn+D+/buoV6++CFERERHR14qKisSjRw/h7t5LmUwBQIUKFbFhw1akpqZhz56dGDZslDKZAgATExN07twda9euQmBgAKysqsHQsBAOHdqPMmXKwMmpAQwNDTFt2q8i7BV9L7QiocrK3bt3sW7dOrRo0QKWlpaZXn/+/DmSkpIQEhKCcePGoWjRojh9+jQWLFiA+Ph4jB49OtefKZEApqaZe0dksoLbMyKT6WS5z5oiMTEB8+f/BgAYMsRTo2MlIiLSZHFxOkhLS4eOzre96JwTb968AgBUqFAh0+fb2NjAz+8kAMDCwiLT65UrV1Juo1atWpg8eRp+/30Opk+fDD09PTg41EaTJs3Rpk076P//yBvp/8/U0NGRiLK/Uunn21jf+Lo/fYFWJlS3bt3C0KFDUa5cOcyZMyfLdUqWLIn169fDxsYGxYsXBwDUr18fSUlJWL9+PQYMGABjY+Ms30vfh/fv32PUqJEICgrCoEGD4ejoKHZIREREpAa5XA4A2Y4gEgThi+/V1dUFALRu3QY//NAAFy6cw5Url3Djhj/8/a/h4MF92LBhC/T09L5x9PS907qE6tixY5gyZQosLCywYcMGFC1aNMv1jI2N0ahRo0zLmzRpgn379iEkJAQ1a+buuUWCAMTEvM+0vCD3iqSlpWe5z2KLi4vDpEljcf/+XbRr1wF9+3pqZJxERETfi5SUdABAenr2yUteKV68JAAgPDw80+evWbMCJiYf7tAcEhKChg0bq7z+/PmHOezFipVAXFwCnjx5jEqVKqNt2w5o27YDUlNTsWbNCuzbtwtXr16Fs3Mj/H8OhvR0QZT9lcs/lHd2bRdzc2P2UuWjgnlruWz4+Phg3LhxsLe3x44dO1CiRIls1w0KCsLOnTuRmpqqsjwpKQkAsk3ESPNFRUVi9OghuH//Ljp06IQpU2Z88zlxRERElH+KFSuOKlWs4Ofni4SEj88YjYh4gf37dyMq6h3MzYvh0KH9Kq8nJMTj0KF9MDcvBmtrGzx79hQjRgzCX3/9qVxHV1cXVlbWAAAdnQ9NZ+n/j/n7XM8XaQ+t6aHat28ffv/9d7Rt2xbe3t5f7K4NDQ3FzJkzUbJkSTRv3ly5/NixYyhXrhzKli2b1yFTHkhMTMC4cSPx5MljuLn1xKhR48QOiYiIiL6B0aPHYdy4kRg0qA/at+8IiUSKAwf2wNjYBB4efVGzZi38+us0DBzYB+3b/wQAOHr0T7x79xazZ3tDKpWiRg1b1KrlgPXr1+DNm1ewtKyKN29eY//+PahY0QJ16zoBAIoU+XBh/dCh/Xj37h1atXIVbb9JfBJBC1Lrd+/eoXnz5jAzM8OCBQsgk6nmkRUqVICenh6Cg4NRoUIFmJmZISUlBe7u7nj16hW8vLxQqlQpHD16FEeOHMHKlSvRsmXLXMchlwt49y4+03JTU0PE3XtcYO/yp0lD6WbP/gW+vsfQrVsPjBkzXuxwiIiICox3714DAMzNS4oWw717d7Bx41oEBDyAvr4+atVywPDhY1C2bDkAwM2b17F58wYEBgZAJpOhenVb9O07ELVqOSi3ERsbg02b1uPy5Yt49+4/mJiYoEEDFwwaNBTm5sUAAGlpaZg1awYuX74APT19HD58XHnDivzwpbI2NzeGVMrRN/lFKxKqw4cPY/Lkydm+vmDBApQqVQp9+vTB/Pnz0blzZwBAZGQkli1bhvPnzyMyMhJVq1bF8OHD0aJFC7XiYEIlrufPQ9CrVzcYG5tg9OhxWT53qnXrtiJERkRE9P3ThIRKWzCh0ixaMeSvY8eO6Nix4xfXCwoKUvnbzMwMs2bNyqOoKL/duXMLABAfH4d582ZmuQ4TKiIiIiLKDa1IqIgAoGPHrujYsavYYRARERFRAaJVd/kjIiIiIiL6lphQERERERERqYkJFRERERERkZqYUBEREREREamJCRUREREREZGamFARERERERGpiQkVERERERGRmvgcKiIt5u9/FVu2bERQ0CNIpVJUr14TgwcPg61tTbFDIyIiIvousIeKSEvdvn0LEyaMRnx8HDw9h6N//8F4+fIFRo3yREDAA7HDIyIiIvousIeKSEutWLEYJUqUxLp1W2BgYAAAcHVtBw+Pbli3bg2WLVsjcoRERFRQGBnpQyYT/zp+WpocCQnJuX5f167tUbduPUyZMiPL1+fO/Q337t3Bnj2Hc7zNkSM9oaMjw/Ll/L393jGhItJCsbGxCA5+Anf3XspkCgDMzMxhb18bN25cEzE6IiIqaGQyKSTJyYgNChUthsLWFSHT18+TbffrNwiJiQl5sm3SfEyoiLSQkZERdu48AENDw0yvxcREQ0dHR4SoiIioIIsNCoW/52zRPt9p3QyY2FnlybbLli2XJ9ul7wMTKiItpKOjg/LlK2RaHhz8BPfv30W9evVFiIqIiEhzpaamYuXKpTh58jjev0+EnZ09xo+fgrJly2Ua8peamoo//lgFP78TSEhIQP36zrC1rYmVK5fi0qWbn2xVwLZtPjh0aD+io6NhZWWNsWMnolo1G1H2kdQj/mBWItIIiYmJmDPnVwBAr159RY6GiIhIs5w6dQJhYc8xffpMjB8/BY8eBWDmzOlZruvtPQeHD+9Hjx69MXu2N1JTU7B27epM692+fQuXLl3AuHGTMGPGTPz33xtMmTIO6enpeb079A2xh4qIkJSUhClTxiE4+DF69+4PB4c6YodERESkUUqWLIX58xdDJvvQfH7xIhxbtmxEUlKSynoRES/g63sMY8dORJcu3QEATk710bevO0JCnqmsq6+vj0WLVsDExAQAkJAQj99/n4OwsFBUqlQ5H/aKvgX2UBFpubi4OHh5jcA//9xEu3Yd4Ok5XOyQiIiINE716rbKZAoASpcuAwCIj49TWe+ff25CEAQ0adJMuUwqlaJp0xaZtlm5chVlMvVhm2Wz3CZpNvZQEWmxqKhIjBs3Ek+ePEaHDp0wceI0SCQSscMiIiLSOBlv5CSVfuiXkMvlKsujo6MAAEWKFFVZbmZmnmmbBgaq21T8BsvlwtcFS/mKPVREWioxMUGZTLm59cSkST8zmSIiIvpKxYoVBwBERUWpLFckWlTwMKEi0lKLF3vjyZPH6NatB0aNGid2OERERAWCnZ09dHR0cOnSOZXlFy+eFycgynMc8kekhZ4/D4Gv7zEYG5ugalUr+Poey7RO69ZtRYiMiIjo+1a2bDm0bt0Wq1cvR0pKCipWrIRjx47iyZMgjgQpoJhQEWmhO3duAfgw6XXevJlZrsOEioiIvqXC1hXhtG6GqJ+fXzOTxo+fDENDQ2zduglJSUlwdm6Mn37qkuUFTPr+SQRB4Ky3fCKXC3j3Lj7TclNTQ8Tdeyzq08PzguKJ5DEx78UOhYiIiPLYu3evAQDm5iUzvWZkpA+ZTPyZJmlpciQkJOfpZ8TGxuDatauoX7+hyh38ZsyYgoiIcGzatOOrP+NzZf1huTGkUvaG5Rf2UBERERFRnsrrJEaT6OvrY+nSBTh50hZdurhBX18f169fw/nzZzBling9dJR3mFAREREREX0j+voGWLp0Fdat+x9mz/4FyclJqFixEqZPn4lWrdqIHR7lASZURERERETfULVq1bFkyUqxw6B8Iv5gViIiIiIiou8UEyoiIiIiIiI1MaEiIiIiIiJSExMqIiIiIvpqUqkUgpAudhhaQRDSIZWyGa8p+E0QERER0VfT1dVFWloqEhJixQ6lQEtIiEVaWip0dXXFDoX+H+/yR0RERERfzcjIFKmpqYiLi8L79/GQSHTEDqnAEYR0pKWlQl+/EIyMTMUOh/4fEyrSKJryJPW8kB9PZyciIhKLRCJBkSLFkJAQg9TUVMjlcrFDKnB0dHRhYPAhmZJIJGKHQ/+PCRVpFJlMCklyMmKDQsUO5ZsqbF0RMn19scMgIiLKUxKJBMbGRcQOgyhfMaEijRMbFAp/z9lih/FNOa2bARM7K7HDICIiIqJvrGCOrSIiIiIiIsoHTKiIiIiIiIjUxISKiIiIiIhITZxDRUQEwN//KrZs2YigoEeQSqWoXr0mBg8eBlvbmmKHRkRERBqMPVREpPVu376FCRNGIz4+Dp6ew9G//2C8fPkCo0Z5IiDggdjhERERkQZjDxURab0VKxajRImSWLduCwwMDAAArq7t4OHRDevWrcGyZWtEjpCIiIg0FXuoiEirxcbGIjj4CZo1a6lMpgDAzMwc9va18eDBPRGjIyIiIk3HHioi0mpGRkbYufMADA0NM70WExMNHR0dEaIiIiKi7wUTKiLSajo6OihfvkKm5cHBT3D//l3Uq1dfhKiIiIjoe8Ehf0REGSQmJmLOnF8BAL169RU5GiIiItJkTKiIiD6RlJSEKVPGITj4MXr16gcHhzpih0REREQajAkVEdH/i4uLg5fXCPzzz020a9cBnp7DxQ6JiIiINBznUBERAYiKisS4cSPx5MljdOjQCRMnToNEIhE7LCIiItJwTKiISOslJiYokyk3t54YNWqc2CERERHRd4JD/ohI6y1e7I0nTx6jW7ceTKaIiIgoV9hDRURa7fnzEPj6HoOxsQmqVrWCr++xTOu0bt1WhMiIiIjoe8CEioi02p07twAA8fFxmDdvZpbrMKEiIiKi7DChIiKt1rFjV3Ts2FXsMIiIiOg7xTlUREREREREamIPFZGGMjLSh0xWMK95pKXJkZCQLHYYRERERF+NCRWRhpLJpJAkJyM2KFTsUL6pwtYVIdPXFzsMIiIiom+CCRWRBosNCoW/52yxw/imnNbNgImdldhhEBEREX0TBXM8ERERERERUT5gQkVERERERKQmJlRERERERERqYkJFRERERESkJiZUREREREREamJCRUREREREpCYmVERERERERGpiQkVERERERKQmPtiXiIhU+PtfxZYtGxEU9AhSqRTVq9fE4MHDYGtbU+zQiIiINA57qIiISOn27VuYMGE04uPj4Ok5HP37D8bLly8wapQnAgIeiB0eERGRxmEPFRERKa1YsRglSpTEunVbYGBgAABwdW0HD49uWLduDZYtWyNyhERERJqFPVRERAQAiI2NRXDwEzRr1lKZTAGAmZk57O1r48GDeyJGR0REpJnYQ0VERAAAIyMj7Nx5AIaGhplei4mJho6OjghRERERaTat6aGSy+XYtWsX2rdvDwcHB7Ro0QLz589HfHx8tu9JS0vDsmXL0LhxY9SqVQs9e/bEvXu8QktEBZOOjg7Kl6+AYsWKqywPDn6C+/fvwta2lkiRERERaS6tSag2bNiA2bNno0mTJli9ejX69++Pw4cPY8yYMdm+Z+7cudi8eTMGDx6MpUuXQkdHB/369UN4eHg+Rk5EJJ7ExETMmfMrAKBXr74iR0NERKR5tGLInyAI2LBhA9zc3DB+/HgAQIMGDVC0aFF4eXnh0aNHsLGxUXnPixcvsGfPHsyYMQM9evQAADg7O6N169bYsGEDZs6cme/7QUSUn5KSkjBlyjgEBz9G79794eBQR+yQiIiINI5W9FAlJCSgQ4cO+PHHH1WWV65cGQAQFhaW6T3Xrl1Deno6WrdurVymp6eHJk2a4MKFC3kbMBGRyOLi4uDlNQL//HMT7dp1gKfncLFDIiIi0kha0UNlbGyM6dOnZ1ru5+cHAKhSpUqm1549ewZTU1OYmZmpLK9YsSJevnyJpKQklbtg5YREApiaZp7sLZMV3IneMplOlvv8ufULKpbFR7ktC8pf7969g5fXMAQGBqJr12745ZdfIZFIxA6LiIhyiFV2/tKKhCord+/exbp169CiRQtYWlpmej0+Ph7GxsaZlhsZGQH40OuV24SKiEjTJSQkYOhQTwQGBqJ37z6YNGmy2CERERFpNK1MqG7duoWhQ4eiXLlymDNnTpbrCILw2W2oc7VWEICYmPeZlhfkK/VpaelZ7nN2WBYfsSxIDLNn/4bAwEB069YDQ4aM5vdERPQdMjc3Zi9VPtK6hOrYsWOYMmUKLCwssGHDBhQtWjTL9YyNjZGQkJBpueI261n1XhERfc+ePw+Br+8xGBuboGpVK/j6Hsu0TuvWbUWIjIiISHNpVULl4+MDb29v1KtXD6tXr4aJiUm261auXBnR0dGIiYmBqampcnloaCjKlSsHPT29/AiZiCjf3LlzCwAQHx+HefOyvpMpEyoiIiJVWpNQ7du3D7///jvatm0Lb2/vLyZEDRo0AAD4+vqie/fuAICUlBScO3cOLi4ueR4vEVF+69ixKzp27Cp2GERERN8VrUio3r17h7lz56Js2bLw8PBAQECAyusVKlSAnp4egoODUaFCBZiZmaFs2bLo1KkT5syZg8TERFSsWBE+Pj6IjY3FoEGDRNoTIiIiIiLSJFqRUF28eBHv379HREQEPDw8Mr2+YMEClCpVCn369MH8+fPRuXNnAMCsWbNQuHBhrFu3DomJiahRowZ8fHxQsWLF/N4FIiIiIiLSQFqRUHXs2BEdO3b84npBQUEqf+vp6WHatGmYNm1aHkVGRERERETfM61IqIjo+2ZkpA+ZTCp2GHkiLU2OhIRkscMgIiIiNTGhIiKNJ5NJIUlORmxQqNihfFOFrStCpq8vdhhERET0FZhQEdF3ITYoFP6es8UO45tyWjcDJnZWYodBREREX6FgjqEhIiIiIiLKB0yoiIiIiIiI1MSEioiIiIiISE1MqIiIiIiIiNTEhIqIiIiIiEhNTKiIiIiIiIjUxISKiIiIiIhITUyoiIiIiIiI1MSEioiIiIiISE1MqIiIiIiIiNTEhIqIiIiIiEhNTKiIiIiIiIjUxISKiIiIiIhITUyoiIiIiIiI1MSEioiIiIiISE1MqIiIiIiIiNTEhIqIiIiIiEhNTKiIiIiIiIjUJBM7ACIiIk3l738VW7ZsRFDQI0ilUlSvXhODBw+DrW1NsUMjIiINwR4qIiKiLNy+fQsTJoxGfHwcPD2Ho3//wXj58gVGjfJEQMADscMjIiINwR4qIiKiLKxYsRglSpTEunVbYGBgAABwdW0HD49uWLduDZYtWyNyhEREpAnYQ0VERJRBbGwsgoOfoFmzlspkCgDMzMxhb18bDx7cEzE6IiLSJOyhIiIiysDIyAg7dx6AoaFhptdiYqKho6MjQlRERKSJmFARERFloKOjg/LlK2RaHhz8BPfv30W9evVFiIqIiDQREyoiou+IkZE+ZLKCOVo7LU2OhIRkscPIVmJiIubM+RUA0KtXX5GjISIiTcGEiojoOyKTSSFJTkZsUKjYoXxTha0rQqavL3YY2UpKSsKUKeMQHPwYvXv3h4NDHbFDIiIiDcGEiojoOxMbFAp/z9lih/FNOa2bARM7K7HDyFJcXBwmTRqL+/fvol27DvD0HC52SEREpEGYUBEREWUjKioS48aNxJMnj9GhQydMnDgNEolE7LCIiEiDMKEiIiLKQmJigjKZcnPriVGjxokdEhERaaCCObOZiIjoKy1e7I0nTx6jW7ceTKaIiChb7KEiIiLK4PnzEPj6HoOxsQmqVrWCr++xTOu0bt1WhMiIiEjTMKEiIiLK4M6dWwCA+Pg4zJs3M8t1mFARERHAhIqIiCiTjh27omPHrmKHQURE3wHOoSIiIiIiIlITEyoiIiIiIiI1MaEiIiIiIiJSExMqIiIiIiIiNTGhIiIiIiIiUhMTKiIiIiIiIjUxoSIiIiIiIlITEyoiIiIiIiI1MaEiIiIiIiJSExMqIiIiIiIiNTGhIiIiIiIiUhMTKiIiIiIiIjUxoSIiIiIiIlITEyoiIiIiIiI1MaEiIiIiIiJSExMqIiIiIiIiNTGhIiIiIiIiUhMTKiIiIiIiIjUxoSIiIiIiIlITEyoiIiIiIiI1MaEiIiIiIiJSExMqIiIiIiIiNTGhIiIiIiIiUhMTKiIiIiIiIjUxoSIiIqJc8/aei5EjPcUOg4hIdEyoiIiIKFf++uswjh49JHYYREQaQSZ2AERERPR9SE9Px9atm7Bp0zqxQyEi0hhMqIiIiOiLkpOT4enZD0+fPoGrazvcunVD7JCIiDQCh/wRERHRF6WkpCAxMQEzZ87H9OkzoaOjI3ZIREQagT1URERE9EVGRkbYtesgZDI2HYiIPsVakYiIvktGRvqQyQrmQIu0NDkSEpLFDkOFVCqFVFowy5uI6GswoSIiou+STCaFJDkZsUGhYofyTRW2rgiZvr7YYRARUQ4xoSIiou9WbFAo/D1nix3GN+W0bgZM7KzEDoOIiHJIK/vuHz16hBo1auDVq1efXe/PP/+EtbV1pn+zZs3Kp0iJiIiIiEiTaV0P1dOnTzFkyBCkpaV9cd3AwEBUrFgRCxYsUFlerFixvAqPiIiIiIi+I1qTUKWlpWHPnj1YvHgxdHV1c/SeoKAg1KhRA/b29nkbHBERERERfZe0ZsjfrVu3sGjRIgwYMAATJkzI0XsCAwNhbW2dx5EREREREdH3SmsSKktLS/j5+WHkyJE5ehjhmzdv8O7dOwQEBMDV1RU1atRA69atcfjw4bwPloiIiIiIvgtaM+Qvt/OeAgMDAQAvXrzAxIkToa+vj8OHD2Py5MlIT09Hly5dch2DRAKYmhpmWi6TFdynzctkOlnu8+fWL6hYFh+xLD5iWXzEsvgot2UhhlOn/MQOgYiyIZGIHYF20ZqEKrdsbW3xxx9/wNHREcbGxgAAZ2dnvHv3DsuXL1croSIiIiIiooKFCVU2zMzM0LRp00zLGzdujCtXriAyMhJmZma52qYgADEx7zMt1/SrkF8jLS09y33ODsviI5bFRyyLj1gWH7EsiIiyZm5uzF6qfKQ1c6hy6/bt29i3b1+m5cnJyZDJZDAxMREhKiIiIiIi0iRMqLJx584dTJ8+XTmXCgDkcjl8fX1Ru3btHN96nYiIiIiICi4mVP8vMjISd+7cQXx8PACgc+fOKFOmDEaOHIm//voLZ8+exZAhQ/D48eMc33adiIiIiIgKNiZU/+/cuXNwc3PDw4cPAQCmpqbYvn077OzsMH/+fIwdOxaJiYnYvHkzatWqJXK0RERERESkCbTyphSdO3dG586dv7isbNmyWLJkSX6GRkRERERE3xH2UBEREREREamJCRUREREREZGaNH7IX1paGu7fv49///0X9erVg4GBAdLT02Fqaip2aEREREREpOU0uofq+PHjaNKkCXr27Inx48fjyZMnuHXrFho3bowNGzaIHR4REREREWk5jU2oLl26hPHjx8PCwgKTJ0+GIAgAgHLlysHKygqLFy/Gn3/+KXKURERERESkzTQ2oVq9ejVsbW2xdetW/PTTT8rllpaW2LlzJxwcHLBlyxYRIyQiIiIiIm2nsQnVo0eP0K5dO0ilmUOUyWT48ccfERISIkJkRERERB95e8/FyJGeYodBRCLR2IRKV1cXaWlp2b4eHR0NXV3dfIyIiIiISNVffx3G0aOHxA6DiESksQlVvXr1sH//fiQnJ2d67c2bN9i5cyfq1KkjQmRERESk7dLT0+Hjsx7e3nPFDoWIRKaxt0338vKCu7s7OnTogEaNGkEikeD06dM4d+4cDh06hJSUFIwePVrsMImIiEjLJCcnw9OzH54+fQJX13a4deuG2CERkYg0toeqSpUq2LFjB0qUKIFt27ZBEARs374dW7ZsQYUKFbB582bY2NiIHSYRERFpmZSUFCQmJmDmzPmYPn0mdHR0xA6JiESksT1UT548gZWVFbZt24bo6GiEhYVBLpejbNmyKF68uNjhERERkZYyMjLCrl0HIZNpbDOKiPKRxtYE/fr1Q6dOnTBhwgQUKVIERYoUETskIiIiIkil0izvQkxE2klja4PExESUK1dO7DCIiIiIiIiypbEJVd++feHj44P79++LHQoREREREVGWNHbI34MHD/DmzRt0794dBgYGKFKkSKbudYlEAj8/P5EiJCIiIiIibaexCVVycjJsbW3FDoOIiIiIiChbGptQbdu2TewQiIiIiIiIPktjEyqF6OhoXLlyBREREdDV1UWZMmXQoEEDGBsbix0aERERERFpOY1OqHbu3ImFCxciKSkJgiAol+vr62PSpEnw8PAQMToiIiIiItJ2GptQ+fn5YdasWahevToGDRqEypUrQxAEPHv2DD4+PpgzZw7KlCmDpk2bih0qERERabH9+4+KHQIRiUhjE6r169ejevXq2L17N/T09JTLbWxs0KpVK7i5uWHDhg1MqIiIiIiISDQa+xyqwMBA/PTTTyrJlIKuri5++uknPHr0SITIiIiIiIiIPtDYhEpPTw/v37/P9vWEhATo6OjkY0RERERERESqNHbIn6OjI3bs2IHOnTujRIkSKq+9fv0aO3fuRJ06dUSKjoiISHMYGelDJtPYa6RqS0uTIyEhWewwiIg+S2MTqrFjx8LNzQ1t2rRBx44dYWFhAQB49uwZjhw5gvT0dIwZM0bcIImIiDSATCaFJDkZsUGhYofyzRS2rgiZvr7YYRARfZHGJlRWVlbYsmUL5syZgx07dqi8Zmtri+nTp8PGxkak6IiIiDRLbFAo/D1nix3GN+O0bgZM7KzEDoOI6Is0NqECADs7O+zduxfv3r1DREQEBEFA2bJlUaxYMbFDIyIiIiIi0tybUgDAgwcP4OXlBeBDclWrVi1s3LgRo0ePxtOnT0WOjoiIiIiItJ3GJlQ3b95Ez549cfnyZURFRSmXFy9eHLdu3ULXrl0RGBgoYoRERERERKTtNDahWr58OSpVqoSTJ0+iSpUqyuUDBgzAsWPHUL58eSxevFjECImIiIiISNtpbEL16NEjuLm5oUiRIpleMzU1Rffu3XHv3r38D4yIiIiIiOj/aWxCJZPJVIb6ZRQfHw+5XJ6PEREREREREanS2ITKyckJ27dvR3h4eKbXXr9+je3bt6NevXoiREZERERERPSBxt42fcyYMejWrRs6dOiARo0aKR/sGx4ejvPnz0MikWDcuHHiBklERERERFpNYxOqypUr48CBA1i2bBkuXLgAX19fAICBgQEaNmyIcePGwdLSUuQoiYiIiIhIm2lsQgUAFhYWWLZsGQRBQFRUFJKSkhAUFAQdHR1UrFhR7PCIiIiIiEjLaWxClZKSgjlz5iAiIgIbN26EsbExBg4cqHz2lKWlJbZs2QJzc3ORIyUiIiIiIm2lsTelWLVqFfbu3YtSpUoBAA4fPoxHjx6hd+/emDdvHv777z8sX75c5CiJiIiIiEibaWwP1fHjx9G1a1fMmTMHAODr6wsTExNMmjQJMpkM4eHh2Ldvn8hREhERERGRNtPYHqpXr17B3t4eAPD+/XvcuHED9evXh0z2IQcsXbo0YmNjRYyQiIiIiIi0ncYmVMWKFcPbt28BABcvXkRKSgqaNGmifD0oKAglSpQQKToiIiIiIiINHvLn5OSELVu2QF9fHzt27IChoSFatGiB2NhYHDhwAHv37oW7u7vYYRIRERERkRbT2IRq2rRpeP36Nby9vVGoUCHMmTMHhQsXxq1bt+Dt7Q1HR0eMHDlS7DCJiIiIiEiLaWxCVbhwYfj4+CAyMhLGxsbQ09MDANjY2GDPnj2oVauWyBESEREREZG209iESsHMzEzl70KFCjGZIiIiIiIijaCxN6UgIiIiIiLSdEyoiIiIiIiI1MSEioiIiIiISE1MqIiIiIiIiNTEhIqIiIiIiEhNTKiIiIiIiIjUpPG3TSciIiLKKSMjfchkBe96cVqaHAkJyWKHQURZYEJFREREBYZMJoUkORmxQaFih/LNFLauCJm+vthhEFE2mFARERFRgRIbFAp/z9lih/HNOK2bARM7K7HDIKJsFLw+cSIiIiIionzChIqIiIiIiEhNTKiIiIiIiIjUxISKiIiIiIhITUyoiIiIiIiI1MSEioiIiIiISE1MqIiIiIiIiNTEhIqIiIiIiEhNTKiIiIiIiIjUxISKiIiIiIhITUyoiIiIiIiI1MSEioiIiIiISE1MqIiIiIiIiNTEhIqIiIiIiEhNWplQPXr0CDVq1MCrV68+u15CQgJmzpyJhg0bwsHBAYMHD8bz58/zJ0giIiIiItJ4WpdQPX36FEOGDEFaWtoX1/Xy8sKJEycwYcIEeHt74/Xr1+jTpw/i4uLyIVIiIiIiItJ0WpNQpaWlYceOHejWrRuSk5O/uP7Nmzdx/vx5eHt7o1OnTmjVqhU2b96MuLg47Nq1Kx8iJiIiIiIiTac1CdWtW7ewaNEiDBgwABMmTPji+pcvX4aRkREaNmyoXGZmZgZHR0dcuHAhL0MlIiIiIqLvhNYkVJaWlvDz88PIkSOho6PzxfWfPXuGihUrZlq3QoUKCAkJyaswiYiIiIjoOyITO4D8UqxYsVytHx8fD2Nj40zLjYyMEB8fr1YMEglgamqYablM9uUE73slk+lkuc+fW7+gYll8xLL4iGXxEcviI5bFB7ktB8V7CiJ1yoK0l0QidgTaRWt6qHJLEIRsX5NKWWxERERERKRFPVS5ZWxsjBcvXmRanpCQkGXPVU4IAhAT8z7T8oJ8xSktLT3Lfc4Oy+IjlsVHLIuPWBYfsSw+KqhlkdtyAFgWYvP2novw8FCsWrVO7FC0mrm5MXup8hG7WrJRqVIlhIeHZ+qpCg0NRaVKlUSKioiIiEgz/fXXYRw9ekjsMIjyHROqbDg7OyM2NhZXrlxRLouMjMTNmzfRoEEDESMjIiIi0hzp6enw8VkPb++5YodCJAoO+ft/kZGRCAsLQ5UqVWBsbAxHR0fUq1cP48aNw4QJE1CkSBGsXLkSJiYm6NGjh9jhEhEREYkuOTkZnp798PTpE7i6tsOtWzfEDoko37GH6v+dO3cObm5uePjwoXLZqlWr0KxZMyxYsABTpkxBqVKlsHnzZpiamooYKREREZFmSElJQWJiAmbOnI/p02fm6NE0RAWNVvZQde7cGZ07d/7iMlNTU8yfPx/z58/Pz/CIiIiIvgtGRkbYtesgZDKtbFISAdDShIqIiIiIvp5UKuXjZEjr8QwgIiIiIiJSExMqIiIiIiIiNTGhIiIiIiIiUhMTKiIiIiIiIjUxoSIiIiIiIlITEyoiIiIiIiI1MaEiIiIiIiJSE59DRURERETfxP79R8UOgSjfsYeKiIiIiIhITUyoiIiIiIiI1MSEioiIiIiISE1MqIiIiIiIiNTEhIqIiIiIiEhNTKiIiIiIiIjUxISKiIiIiIhITUyoiIiIiIiI1MSEioiIiIiISE1MqIiIiIiIiNTEhIqIiIiIiEhNTKiIiIiIiIjUxISKiIiIiIhITUyoiIiIiIiI1MSEioiIiIiISE1MqIiIiIiIiNTEhIqIiIiIiEhNTKiIiIiIiIjUxISKiIiIiIhITUyoiIiIiIiI1MSEioiIiIiISE1MqIiIiIiIiNTEhIqIiIiIiEhNTKiIiIiIiIjUxISKiIiIiIhITUyoiIiIiIiI1MSEioiIiIiISE1MqIiIiIiIiNTEhIqIiIiIiEhNTKiIiIiIiIjUxISKiIiIiIhITTKxAyAiIiKib8/ISB8yWcG7dp6WJkdCQrLYYRApMaEiIiIiKoBkMikkycmIDQoVO5RvprB1Rcj09cUOg0gFEyoiIiKiAio2KBT+nrPFDuObcVo3AyZ2VmKHQaSi4PUDExERERER5RMmVERERERERGpiQkVERERERKQmJlRERERERERqYkJFRERERESkJiZUREREREREamJCRUREREREpCYmVERERERERGpiQkVERERERKQmJlRERERERERqYkJFRERERESkJiZUREREREREamJCRUREREREpCYmVERERERERGpiQkVERERERKQmJlRERERERERqYkJFRERERESkJiZUREREREREamJCRUREREREpCYmVERERERERGpiQkVERERERKQmJlRERERERERqYkJFRERERESkJiZUREREREREamJCRUREREREpCYmVERERERERGrSqoTqr7/+Qrt27WBnZ4c2bdrg8OHDn13/zz//hLW1daZ/s2bNyp+AiYiIiIhIo8nEDiC/HDt2DBMmTEDfvn3h7OwMPz8/TJ48GQYGBnB1dc3yPYGBgahYsSIWLFigsrxYsWL5ETIREREREWk4rUmoli5dijZt2mDq1KkAABcXF8TExGD58uXZJlRBQUGoUaMG7O3t8zFSIiIiIiL6XmjFkL/w8HCEhYWhVatWKstbt26NZ8+eITw8PMv3BQYGwtraOj9CJCIiIiKi75BWJFTPnj0DAFSqVEllecWKFQEAISEhmd7z5s0bvHv3DgEBAXB1dUWNGjXQunXrL867IiIiIiIi7aEVQ/7i4uIAAMbGxirLjYyMAADx8fGZ3hMYGAgAePHiBSZOnAh9fX0cPnwYkydPRnp6Orp06ZLrOCQSwNTUMNNymUwn19v6XshkOlnu8+fWL6hYFh+xLD5iWXzEsviIZfFBbstB8Z6CiGXxkTploW0kErEj0C5akVAJgvDZ16XSzB11tra2+OOPP+Do6KhMxJydnfHu3TssX75crYSKiIiIiIgKFq1IqExMTAAACQkJKssVPVOK1z9lZmaGpk2bZlreuHFjXLlyBZGRkTAzM8tVHIIAxMS8z7S8IF9lSUtLz3Kfs8Oy+Ihl8RHL4iOWxUcsi48KalnkthwAlsWnWBbay9zcmL1U+Ugr5lAp5k6FhYWpLA8NDVV5/VO3b9/Gvn37Mi1PTk6GTCbLMgkjIiIiIiLtohUJVcWKFVGuXDmcOHFCZfnJkydhYWGBMmXKZHrPnTt3MH36dOVcKgCQy+Xw9fVF7dq1oaurm+dxExERERGRZtOKIX8AMGLECEydOhWmpqZo0qQJTp8+jePHj2Pp0qUAgMjISISFhaFKlSowNjZG586dsXXrVowcORJjx46FkZERdu7cicePH2PHjh0i7w0REREREWkCreihAoDOnTtj5syZuHTpEkaMGIEbN27A29sbbdu2BQCcO3cObm5uePjwIQDA1NQU27dvh52dHebPn4+xY8ciMTERmzdvRq1atcTcFSIiIiIi0hBa00MFAO7u7nB3d8/ytc6dO6Nz584qy8qWLYslS5bkR2hERERERPQd0poeKiIiIiIiom+NCRUREREREZGamFARERERERGpiQkVERERERGRmphQERERERERqYkJFRERERERkZqYUBEREREREamJCRUREREREZGamFARERERERGpiQkVERERERGRmphQERERERERqYkJFRERERERkZqYUBEREREREamJCRUREREREZGamFARERERERGpiQkVERERERGRmphQERERERERqYkJFRERERERkZqYUBEREREREamJCRUREREREZGamFARERERERGpiQkVERERERGRmphQERERERERqYkJFRERERERkZqYUBEREREREamJCRUREREREZGamFARERERERGpiQkVERERERGRmmRiB0BERERE9L17+TICq1Ytw+3btwAADRo4Y+RILxQtWlTkyCivMaEiIiIiIvoKMTHRGD16KFJTU+Hh0Qfp6enYtWsbnj4Nxvr1W6Crqyt2iJSHmFAREREREX2F3bt34L//3mDLlt2wsKgEAKhe3RZeXiNw/Phf6NChk8gRUl7iHCoiIiIioq9w+vRJ2NvXUSZTAODo6IQKFSri9OmTIkZG+YEJFRERERGRmmJjY/HyZQSsratles3KqhqCgh6JEBXlJyZURERERERqevv2DQCgePESmV4zNy+G+Ph4xMfH53dYlI+YUBERERERqSkxMREAYGBgkOk1fX19AEBS0vt8jYnyFxMqIiIiIiI1CYIAAJBIPrfWZ1+k7xwTKiIiIiIiNRkaFgIAJCcnZ3pNsczIyChfY6L8xYSKiIiIiEhNJUuWAgC8ffs202tv3/4HY2MTGBoa5ndYlI+YUBERERERqcnExASlS5fF48dBmV578iQI1arZiBAV5ScmVEREREREX6FJk2a4edMfoaHPlctu3PBHWFgoWrRoJV5glC9kYgdARERERPQ969mzD06c+BtjxgyDu7sHUlJSsHPnVlhb26BVq7Zih0d5jAkVEREREdFXKFq0KFavXocVK5Zg48a10Nc3gItLEwwfPgZ6enpih0d5jAkVEREREdFXqlDBAosWrRA7DBIB51ARERERERGpiQkVERERERGRmphQERERERERqYkJFRERERERkZqYUBEREREREamJCRUREREREZGamFARERERERGpiQkVERERERGRmphQERERERERqYkJFRERERERkZqYUBEREREREamJCRUREREREZGamFARERERERGpiQkVERERERGRmphQERERERERqYkJFRERERERkZqYUBEREREREamJCRUREREREZGamFARERERERGpiQkVERERERGRmphQERERERERqYkJFRERERERkZqYUBEREREREamJCRUREREREZGamFARERERERGpiQkVERERERGRmrQqofrrr7/Qrl072NnZoU2bNjh8+PBn109ISMDMmTPRsGFDODg4YPDgwXj+/Hm+xEpERERERJpPaxKqY8eOYcKECXB2dsbq1atRr149TJ48GSdOnMj2PV5eXjhx4gQmTJgAb29vvH79Gn369EFcXFw+Rk5ERERERJpKJnYA+WXp0qVo06YNpk6dCgBwcXFBTEwMli9fDldX10zr37x5E+fPn8f69evRqFEjAEDdunXRvHlz7Nq1C56envkaPxERERERaR6t6KEKDw9HWFgYWrVqpbK8devWePbsGcLDwzO95/LlyzAyMkLDhg2Vy8zMzODo6IgLFy7kecxERERERKT5tCKhevbsGQCgUqVKKssrVqwIAAgJCcnyPRUrVoSOjo7K8goVKmS5PhERERERaR+JIAiC2EHktb/++gvjx4/H6dOnUa5cOeXy0NBQtGrVCkuXLkXbtm1V3jNw4ECkpKRg27ZtKsuXLl2KzZs34+7du7mO40tFLaTLc71NTSbRUT9fZ1l8xLL4iGXxEcviI5bFRwWpLL6mHACWxadYFtpJIpGIHYLW0Io5VF9KZKTSzCfn596T1fo58aUDWyLT+ezr2oRl8RHL4iOWxUcsi49YFh+xLD5iWXzEsiDKW1qR5puYmAD4cBv0T8XHx6u8/iljY+NM6yu2YWxsnAdREhERERHR90YrEirF3KmwsDCV5aGhoSqvZ3xPeHh4pp6q0NDQLNcnIiIiIiLtoxUJVcWKFVGuXLlMz5w6efIkLCwsUKZMmUzvcXZ2RmxsLK5cuaJcFhkZiZs3b6JBgwZ5HjMREREREWk+rZhDBQAjRozA1KlTYWpqiiZNmuD06dM4fvw4li5dCuBDshQWFoYqVarA2NgYjo6OqFevHsaNG4cJEyagSJEiWLlyJUxMTNCjRw+R94aIiIiIiDSBVtzlT2H37t3YtGkT/v33X5QvXx6enp7o2LEjAODgwYOYOnUqtm7dCicnJwBATEwMfv/9d/j5+UEul6NOnTqYMmUKKleuLOJeEBERERGRptCqhIqIiIiIiOhb0oo5VERERERERHmBCRUREREREZGamFARERERERGpiQkVERERERGRmphQERERERERqYkJFRERERERkZqYUBEREREREamJCRVRDvBxbZSRIAg8LiiT9PR0rT0utHW/M9L2coiPj0d6errYYRDlKz7YlygHBEFAaGgo7t+/j6SkJFSuXBnVq1eHoaEhBEGARCIRO8Q8JwgC5HI5pFKpVuxvVj73XWvLcQBo177mVHp6OnR0dFSWyeVyCIKQaXlBFhcXBz09Pejr64sdSr6Ty+UAAKlUitTUVOjq6iqXS6Xac/36p59+QvXq1dGwYUPY2NigePHiMDIy0qrzIDfkcjkkEgnr1O+cTOwASFyfVvTaVul/iaI83r59Cx8fH2zcuBFSqRRFihSBkZERatSogT59+qB27dpih5qn0tPTkZSUxB9EABKJBG/fvsXDhw/x4sULlCxZEo0aNYKenp7W/BgqkqkXL14gIiICaWlpeP/+PRwcHGBmZgaJRKI1CZeijoiIiMCBAwdw7tw5VKpUCc2bN0f9+vVRtGhRsUPMU4rvOTExEQcPHsSePXtgbm6OunXrolq1arCwsICZmRmMjY2hp6cndrh56r///sOuXbvw119/IS0tDVZWVmjevDk6duyoTKy0QUxMDKpWrYqAgAAcPXoUurq6qFevHmxsbODg4ICqVavC3Nxcq+rMjBTnjeIizKftrk+Tcvq+sIeKkJiYiEKFCokdhsZRVHYzZ87E+fPn0aNHDzRt2hTPnj3D9evXcezYMQDAihUrULduXZGjzRunT5/GsWPH8PDhQ+jo6MDJyQk//vgjHBwctO7HMC0tDb6+vvj111+RlJSEEiVK4OXLl9izZw8iIiJQp04dlCxZUuww85xcLseJEyewYsUKvHjxAmlpaTA1NcXmzZsRGRmJevXqaU0DUtEwGj58OK5evQo7Ozvcu3cP79+/BwBYWFigdevWMDAwQKtWrWBpaSlyxN+Woo7cs2cPFi1aBGtra8jlcvzzzz/Q0dGBubk5HB0dUaxYMRQqVAhjxowRO+RvSvH9v3z5EnPmzMGFCxfQvHlzFC9eHIGBgbhz5w5KliyJxYsXw97eXuxw801KSgpSUlIQGhqKP/74A6dOnYKhoSGSkpJgbGwMOzs7uLi4wNbWFpUqVYK5ubnYIee7p0+f4sCBAwgJCYGNjQ2cnJxQq1YtGBgYiB0aqYkJlRY7e/YsLl68iJiYGCQkJMDNzQ1169aFoaEhZDJ2Xio4Ojpi2rRpaN++vUq5REZGokuXLmjWrBlmzJghYoTfluKq+8aNG7F27VqYmZnB2toaaWlpePToERITEzFmzBj06NFD7FDzhaLR6Ofnh1mzZsHFxQWTJk3Cvn37sHnzZmzcuBEzZsxAuXLl4O3tXWCTCUU5XL58GTNnzoSlpSWmTJmCgIAATJkyBXv37sXMmTNhYGCATZs2iR1uvnnz5g1atGiBOXPmoGnTpli1ahWePXuGGjVqYNeuXYiJiQEAHD58GNWqVRM52m9LcUx07twZ1tbWmD59Oh49eoQNGzbAxcUFISEh2L59OwBgyJAh8PLyEjnibystLQ0ymQzLly/HiRMnMHv2bNStWxfJyclISkrCjRs3MG/ePFSsWBFr164t8L10CopEc+HChXj48CEaNGgAFxcX6Orq4tatWzh06BDu3LkDAOjatSvmzJkjbsD5LDo6Gv3790dISAgqV66M4OBg6OnpoXDhwqhevTqcnJxgaGiIDh06aM0xUxCw1ayl1qxZg40bN6JMmTIwMTHBP//8gw4dOuDIkSMwMjJChw4dtLrLWfGD8PTpU+jq6qJixYqQyWTKCecSiQRmZmbo0qULTp06hfj4eBgbG4sd9jchlUqRnJyMP/74A+7u7hg/fjwAICoqCsHBwdi6dStmzpwJKysr1KlTR+Ro88/BgwdRr149jB8/HqampoiNjUXp0qVhbW2Njh07YtWqVQgKCoKtra3YoeYJxbW3gwcPwtLSEvPnz0eRIkVw6NAhWFpawtraGh06dMCSJUtw+/ZtODg4iBxx3lIkExcuXEDp0qXRqFEjmJiYoFChQihUqBDGjh0LJycnTJs2DQsXLixwyRQA6OjoQC6XIywsDOPGjYORkRGkUilCQkIwY8YMeHh44P79+2jYsCEGDx4sdrjfnOI38tq1a2jdurWyF0pfXx/6+vpo0aIFEhISsGrVKjx8+LDAnxMKitEL+/btw+TJk9GlSxfla1WqVIGzszPGjh0LS0tLDBgwQKww852izjh16hTevn2LDRs2wMzMDPPmzYOuri50dXVx8uRJ+Pn5oXjx4ujatavYIVMuaG+LWQspGkQhISHYunUr+vXrh6NHj2Lnzp0AgDJlyiA6OhpTpkzBvXv3xAxVdIofBH19fZQqVQoXL14E8KEBIZPJlA2JwoULIy4ursAkU4rx2/7+/jAxMUHv3r2Vx03RokXh6OiIlStXomrVqjh79qyYoeYbxbyx169fo2TJksrv2tfXF40bNwYANGzYEAYGBggNDQXwsRwLEkXvbEREBCpVqgRTU1MAwJkzZ9CwYUMAH8qhRIkSCAkJES3O/KJoTL98+RLly5dXfucBAQHKuVOVK1dGuXLl8M8//4gWZ157/vw5ypQpo6wzY2Ji8O7dO5QtWxYA8OOPP+Ly5csFctSDVCqFXC6HiYkJ/vvvP+UxkZaWhtTUVACAra0tEhISkJycLGao+e7FixfKXpeMypYtix49eiA0NFQrhklndPr0abi4uKBu3booVqwY9PT00LRpU6xYsQL9+vVDtWrVtKqXv6BgQqVFFD/4586dQ4kSJdCrVy8AwLFjx2Bqaopq1aphwIABqFq1Kk6dOiVmqBqjXLlysLW1xbZt27Bnzx68efMGiYmJAIA7d+7g8OHDcHZ2FjnKb0fRKHr79i10dXURGxurvMlAWloa0tPTkZKSgtq1ayMwMBBAwUweMpLL5WjQoAFOnjypHIIRFhaGRo0aAfgwZyAqKgo1atQAgAI7vyw9PR21a9fGiRMn8Pr1a6SlpSE4OBgNGjQAACQlJSEiIgLVq1cXOdK89elNNxwdHREQEIAbN24AAJ49e4ZKlSoBAAwMDJCYmJhlo7KgKFGiBIoUKYLFixcjPT0d4eHhKF68uPL1pKQkpKWlFdihsFKpFA0bNsRff/2Fx48fA/hw8UFXVxeCIODx48eIj48v8DcvysjExASWlpZYu3atsq74VHR0NCIiImBkZCRShPlPcXEuISEBZcqUUY54uXPnjvICRP369SGVSpGQkCBmqKQGJlRaRHH1LCEhAVKpVPmciNOnT6N27drQ09ODjo4OKlWqhKioKDFD1ShDhgyBlZUVfv31V/Tp0wc///wzPD090bt3b5iZmaFv375ih/jNKBqJjRo1QnR0NPbs2YP3799DIpEoe+bevHmDgIAAZfKgDQmVVCpF06ZN8fbtW/Tv3x+zZ89G0aJFUbJkScTFxeGPP/5A2bJlYWFhAaBgJlRyuRw6OjpwdXVFcnIyvL29sWnTJpiYmKBatWp48eIFdu7cieLFixfI4W2f+vT7rVmzJmxsbHD06FEAgKWlJW7fvg3gQ90aFBSk7MEriIyNjdG/f3+YmZnh33//RZkyZRAfH48TJ07g/PnzOHr0KOrVqyd2mHmqSZMmsLS0hJubG8aOHYsdO3bg6tWr2LhxI+bPnw9XV1etmwtjamqK3r17Izw8HOPHj8fRo0fx8OFD3Lt3DytXrsTevXvRrl07scPMd4IgwNHREcePH1depIyMjFRehClVqhRevnyJEiVKiBwp5RZvSqGFAgMD0aVLF3h6emLkyJFwcXHB6NGj4e7ujmfPnmHgwIEYM2YMOnbsKHao+S4yMhIJCQkoX748bt26hXPnzinnEJ0/fx6nT59GQEAAkpOT0bp1a3Tq1El5ZakgEQQBa9euxZo1a5QTikuWLAk9PT1s2LABL1++xNq1a2Fpaak1t8gGPgzzW7BgASIiIqCjo6PsnShZsiQmTpyIRo0aZfk8ou+d4jtWzBU8cuQIFi5ciMjISMjlcjRs2BBv3rxBUlISxo0bB1dXV7FDzjMBAQEoXbp0pluih4eHo3z58vj7778xfvx4GBsbIz09HS1atMDChQtFijb/vHz5EqVKlUJaWhrc3d3x5MkTyOVy2NraYt68eQXuDocZPX/+HFu2bMGNGzcQGxuL2NhYJCcno1evXvD09FTptdMWKSkp8PPzw6ZNmxAYGAiJRAJdXV3o6OigZ8+e6Nu3L8zMzMQOM9/dvHkTY8eOxeDBg9GmTRu4u7tj9OjR6NixI5YuXYqDBw8qpxnQ94MJlRb59NkHK1euxLZt22BnZwd/f3/MnTsXZmZm2Lx5M6Kjo7F161aYmJiIHXK++/vvv3H8+HHUr18fJ0+eRHJyMlatWgVzc3Ote6BrfHw8du7cid27d+Ply5coVKgQUlJSULJkSfz+++9wdHQUO0RRREdH4/Lly7h69SqioqJQr149ODs7F/gGIwC0atUK48ePR+vWrfH69WtcvXoVgYGBeP78OcqVKwc3NzdUrVpV7DDzVJcuXdC7d2907NgRx44dg4mJCWrVqqUyrM/Pzw83btxAxYoV0aJFiwJ9tTkqKgp6enoqQ7cSEhJw5swZREREoFOnTgV6nsx///2H3bt3w9zcHD179sTz588REBAAQRBQt25dmJmZFdjhjrkRHByMp0+fIjIyErVq1Srww4I/FRgYiMqVK6v0UkZFRSEhIQHlypXDtGnTcPDgQZQqVQopKSnw8PDAiBEjRIyY1MGESgtERUVlupoaHR2Nbdu24ejRowgLC4O+vj6KFCmCYsWKYc6cObCxsREpWnE9fPgQCxYswO3btyGXy2FqaooffvgBtWvXhpWVFcqUKQMzMzNIpVIsXboUzs7OBWoOVXYUjYSiRYuiZs2aBeYmHDkhCAL8/f1x8+ZNNG3aVDnU8f379zA0NBQ5uvzz7Nkz9OjRAzt27ECVKlWUy1NSUrRmOFNaWhp8fHzQtm1blC1bFq1atUJqaipKlCiBypUrw9bWVllXFLReyk8pHq1w//59zJ07FwkJCVi2bBkqVKiAq1ev4vHjx3BxcYG1tbXYoeYJxf7fu3cPCxcuxN27d9GxY0fMmjULAHD9+nXcuHFD6xrFinKJjo7GmTNncObMGZQoUQItWrSAk5NTgT4nshMZGQkPDw+sX78e5cqVg6+vLywsLFCpUiVlvRkVFYXNmzfj33//RYMGDdC0aVPlTX/o+8GESgs0btwYOjo6aNKkCVxcXGBvb6+SYIWGhuLRo0cwNjaGg4ODVk0SzU5oaChat26N1q1bIzg4GCEhIcr5ZY6OjtDV1cXmzZuxdevWAjc/4MaNG1i5ciWSk5NRuXJl1K1bF/b29ihfvjx0dHS05kdRMXTv+PHjWLp0KdLS0rBs2TKULFkSq1evxpUrV2Bra4uxY8cq504VRIpG0oMHD7By5Uq0aNEC3bp1U3ldcdOBgthTm520tDT4+fnh0aNHCAgIQHh4OBISEmBgYIDSpUujWrVqqF69On766acCWy7du3eHRCLBoEGD0LJlS3h7e2Pnzp1ITU1F8eLFsXjx4gL50HPF86fGjRuHqKgojB8/Xvm4hOTkZBw5cgQzZszAsGHDCtzDjD9HUVdMnDgRJ0+eRKlSpZCcnIxXr15BJpPB2toaTZo0QaNGjVCrVq0CO7rjU+Hh4di1axcmTZqEhw8fokuXLrC1tYWFhQWsrKxgbW2N6tWra+WQ0IKGCVUBl5KSgt27dyMgIAC3b99GeHg4ZDIZqlatCmdnZzRq1Ah2dnYckpDB+/fv8c8//ygnk//777+4du0aLly4gFu3buHt27do1aoVli1bJm6g34jihy00NBS9e/eGTCZDzZo18fDhQ7x48QIGBgaoWrUqHB0dUaNGDbRu3bpA3gb5U4rGQefOnVG5cmVMmDABpUqVwqRJk3Dq1Ck4OTnhn3/+QdOmTTFnzpwCew4pymHy5Mn4888/UaZMGfTt2xeurq6ZhnIV9AaS4ucyq318/fo17t27B39/fwQFBSEkJARWVlYF7vbHiu84LCwMP/30E3bu3AkbGxvcv38f3bt3R48ePdC3b1+MGjUKTk5OmDRpUoE9Nxo3bgwvL68s5xsvW7YMly5dwvLlywvkPNvsREdHo2HDhvjtt9/g4uKCd+/eKS/a3rt3D0+fPsXbt2+xb98+1KxZU+xw81V0dDQOHDiA+/fv4+HDh4iNjVW5AGNpaQl7e3utK5eCggmVFhAEAQkJCXj37h3Cw8MREBCAW7du4eHDh3j79i1MTExgZ2cHFxcXODs7qwzn0XZhYWFIS0tD5cqVVZbHxMRAEAQUKVJEnMC+MUVvzKpVq+Dr64slS5agatWqSE9PR1hYGK5fv45Lly7hypUrMDExwblz58QOOV8kJyejfv362Lx5M+zs7HD+/HkMGzYM48ePx8CBA3H48GFs2rQJq1evRvny5cUON0/t2LEDwcHBePDgAR49eoS0tDSULl0aP/zwA1q2bAknJyet6d1WJBWPHz9GeHg4UlJSYG5uDhsbG5iYmCA1NRUPHz6ERCJBrVq1xA73m1Ik2IcPH8Yff/yBffv2ITk5Gb/88guePHmCPXv2wMzMDGvWrMGJEydw5MgRsUPOE7GxsejXrx/q1q2LadOmAfhwXCjq0vv372P48OHYu3cvypQpI3K0eU9xTly8eBG///47Nm3apHLBJT09He/evcOLFy/w/PlzdO7cWcRo84/ifMlIEATcvn0bV65cwc2bNxEWFoaXL19iwoQJGDRokAiR0tcq2JeYCcCHq6nGxsYwNjZGxYoV4ezsjOTkZPz7778IDg7GnTt3cOfOHfz+++9wcHDArl27xA5ZdG/evMHvv/+OO3fuIDo6Gjo6Oqhfvz66dOmCBg0aFLjxzYoKPzY2Fo6Ojio3WKhUqRIqVaoENzc3JCUl4e3btwBQIO9ml1FISAiKFSuG169f49WrV9i0aRNKly6Nvn37QhAEmJubIzw8HKVLlxY71Dzn4eGBhIQEREVF4eXLlwgICMCdO3dw8+ZNHD58GIIg4O7du9DX1xc71Dwnl8tx7NgxLFmyBK9fv4ZcLodEIoGNjQ369OmDjh07wt7eXuww84SirihbtixkMhkuX76MwMBAXL16FaNHj4aZmRkSExPx77//FujzonDhwmjQoAG2bNmCxo0bo3bt2jA0NIRMJlPOu5TL5VqRTH3K1NQUJUuWxIsXL1QSKh0dHZQoUQIlSpTQqmdyZUym7t27h8KFC8PCwgK1a9dWlkV8fDwuX76sVTfrKGiYUGmR2NhYhIaGIjo6GsWLF0eZMmXQokULtGjRAvHx8Xjx4kWBbyB/juIK2+vXrzF+/Hg8e/YMP/30E0xMTPDq1SvcvHkTP//8M2bPno2mTZuKHe43pRjCZGNjg82bN+P9+/cwMjKCjo6O8qqrRCKBgYEBypUrBwBacaxYWVmhZs2aWL58OczNzREQEICxY8dCJpPh7du3uHTpEiwtLSGTyQpsgvnpFVYjIyOkpaWhatWqqFevHuLj4/H69WsEBQUhNja2wCdTiu/Y398fK1asgI2NDZYtWwYzMzPcuXMH+/fvx5QpUxASEgIvLy+xw81TtWrVQqVKlTB27FgAQP/+/dG1a1cAwP79+3Hx4kVMmDBBxAjznoeHB+7du4fx48ejbt26qFq1KooVK4aAgABcvHgR7u7uYoeYbxS/Ifv27cPdu3exfPlyDBo0SFkmBXXY55co6s/w8HBs2LABZ86cgVQqhZmZGapXr4769evD0dERJUuWROvWrcUOl74Ch/xpifj4eMybNw8HDx4EAFhYWKBq1aqwsbFBtWrVUKFCBRgaGmrVWO+MFI2ljRs3Yu/evcoeO+DDnKrg4GB4e3vj+fPnOH78eIG5rbwikQwODsbIkSPx6tUr1K9fH506dYKjo2OmO0Rqm4CAAKxYsQIREREYOHAgOnbsiMuXL2Pz5s3KMuvSpUuBTaiAD/XH2rVr4efnB7lcDn19fUyePBlWVlZaNZlacTOCCRMmID4+HgsWLFC5XXp6ejqmT58Of39/bN++XSt6J27fvg1BEFCzZk3IZDI0btwYb968Qf/+/TFq1CgUKlRI7BC/iZSUFNy5cwcODg4qyUFYWBj27NmDc+fOITo6GmlpadDX18fw4cPRsWNHGBgYiBh1/kpMTMTQoUPx/PlzvHnzBgYGBqhevbryNumVK1dGqVKlYG5uLnao+UZxF9Q5c+bg5MmTcHR0hLm5uXLoY3R0NPT09FC4cGG4u7ujZ8+eYodMamJCVcApGnmHDx/G7NmzMXz4cJQtWxYLFixAYmIioqOjUahQIZQrVw4SiQR//vmn2CGLRnElafjw4ShdujQmT56M/2vvvqOivLaHj38Zei9SRYp0EBBEsGENsWvs3URjS4waNdFo1MTExF5iYmLURI1eYyH2EhUpVgSsqAgioIJSpIn0Nu8fvjPRlPu7N1ed+Mz5rHXXuhlA9jzMPHP2KXtramoik8mUs2/Xrl1jypQpzJw5k27duqk44ufrxo0b/PzzzxQUFHDjxg2qq6vR09PDycmJkJAQmjdvTlBQkNrOND7tnXfeITk5mY8++ojXXnsNHR0dSRVkqK+vp7S0lIcPH2Jubs6cOXNISEhg0KBB1NfXs3nzZv71r3+xb98+zM3Nee+999Rq4DhkyBBCQ0OZNGkS8NvZGS0tLRITE5k5cyYffvghYWFhKo70xcnIyEBbW1u5Yg1PzpZGR0djbm5O69atJXWv2LdvH1999RUxMTHcv3+fU6dO4evri6urqzJpTEtLo7S0FF9fX8lOrvyn0tLSiIyMJCYmhmvXrlFTU4OpqSlt2rRh5cqVqg7vpWvbti1jxoxh1KhRADx+/JiMjAxSUlJITU3l/PnzjBw58pkKqsKrRWz5UxMHDx6kc+fOvPXWWxQVFREQEEC/fv3w8fHhzTffVG5zU2eKbU3m5uakpqY+01untrYWDQ0NbG1tkclkSHEeokmTJnz55ZcUFRVx584dkpOTSU5OJi0tjQMHDrBmzRpmzJjBmDFjJJU8/DulpaWcPHmShw8fYmhoiJubG35+fnz99dd/6L0kpesRHh7Op59+ytixY/Hw8CA5OZlVq1bRtm1bMjMz2bZtGw4ODnh5efHll1/So0cPvLy8VB32S1FbW0uTJk2IiopixIgRmJmZIZfLlfcPXV1dcnNzJVmkRDHpFBUVxapVq7CxseHLL79EV1eXU6dOUV5eTrt27SS5MtehQwecnJwAiImJYcGCBZiamuLk5ESzZs1o3rw5Xl5eNGzYUNKr1f+Juro6XF1dcXV1Zfz48QBcuHCBgwcPqk3hGsV26IYNG1JVVYWTkxO2trbKryuKgfn7+wNPzm1LZdeLuhIJlcQpbupZWVnKUtdVVVVcuHCBwYMHY2FhQe/evbl+/bqkZ1P/G126dGH8+PH8+OOP9OjRA1tbW2WJ8NOnT1NQUEDLli1VHOXzV11dDTxJKM3NzZXbHXNyckhPT+fKlSu89tprgLTLYysGjVevXmXp0qXcvn0bfX19cnJymDBhAnK5nJKSEjp06CDZgdONGzeYNGkSkyZN4pNPPsHDw0P5eti6dSve3t7Y2NjQqVMndu7cSUREhFokVPX19WhpadGuXTvCw8P55ptvmDhxonILU2ZmJjt37sTMzEySTW1lMhk1NTUsWbKERo0aMXr0aGxsbPjggw84fPgwMpkMc3NzNm/ejLu7u6rDfa7MzMwICAhALpfTr18/WrZsSUJCAqdOnWL//v1s3rwZc3NzmjZtioeHB3369PlDdVipKysrIyIigqioKB48eIC7uzuTJ0+mYcOGNG/eXJI9yf7KTz/9xA8//MBrr71GcHAwdnZ27Nu3j9DQUAwMDP5QrMLa2lpFkQrPi0io1EBZWRnu7u7cuHEDeDLDmpeXp5wZCQwMZOvWrdTW1qoyzH+Mli1bMnz4cNasWUNsbCwBAQHo6upy9+5dTpw4Qffu3bGwsFB1mM+FInnIy8vj559/5ueff8bU1JTQ0FBatmxJUFAQtra22Nra0rp1a+XP/VkZWKlQPLf58+djZmbGwoULadu2La+99hpWVlbcuXOHL774gpUrV9KhQwdJJpfz589XXgczMzOSkpKUq7Jnz55VHp42MTFBW1sbIyMjlcX6sihWoUpLS2nfvj2TJk1i3bp1bN++HTc3Nxo1akRaWhqVlZVMnjxZ1eE+d4p7xdmzZykrK2PhwoXY2Nhw9OhRDh8+zKRJk+jVqxfjx48nOjpaUgmVYuJE8T7/8ccfGTlyJEOGDGHIkCGUl5dz+/Ztzpw5Q2xsLOvXr6dNmzZqkVA9Xcxp1apV7Nu3j5CQEAwMDNi7dy9Dhw5l7dq1hIaGqlXRhdatWyt70/3666/U1dUBMHPmTDp37oy7uzs2NjaYmJj8YbeD8GoSCZUaMDQ0JCgoiBUrVtC1a1f09PQwMTEhLy8PJycn0tPTkclkajtD8uDBg2e2qOjo6PDuu+9iY2PD/v37OX/+PHp6epiZmTF06FBJ9YhQDJJ++uknwsPDadeuHfn5+Wzfvp3t27ejpaVFs2bNsLKyomnTprz55puqDvmFerq/UHp6Olu3bsXf3195nsjf35+GDRtib2/P8ePHadOmjaTOiSg8nTB37NiRH374gW+++YYBAwZw9+5dWrVqBcDFixfJyMggNDRUVaG+NIrBdL9+/Zg5cybjx48nJCSEM2fOkJycTFFREV5eXowaNUq5midFly9fpnHjxtjY2HD79m3WrVtHSEgI48ePR1tbm+DgYBISEpRbvaQgPj6eJUuWKEtc792795nnZ2BgoNy+9e6771JYWKg2hRcUZwfDw8O5fPky33//PR06dGDz5s0UFBTQoEEDHjx4wLfffkubNm3UYvIFnkxUK+4D2dnZXL16lbi4OE6dOkVUVBRGRkZ4enoSHByMu7s77dq1E1v+XnEioVITo0ePVlaScXJywt7eni+++AI3NzeOHj0quTLg/6mcnBw6deqEq6srwcHBtGvXjoCAACwtLRk/fjzjx4+npKSE9PR0HB0dJbMypaDYrnbgwAFGjRrF+PHjOXHiBJqamnTr1o2rV68SHh6Onp6ecruGVLe5wW8JVWpqKg0bNlTu94+OjqZBgwa4uLhgZGRE165diYmJkWQy9XtNmzZl4sSJrFmzhiNHjlBbW6ucjd+3b59ytlUdpKen8+jRI5ydnQEICAhQJtzGxsaSW6l8miLJbtKkCYcOHSI6OpqjR4+SmZnJ4sWL0dHRoaioiMzMTMn10vHx8aFZs2bExcWRmZkJwIgRIwgKCqJVq1YEBQUp7xWRkZHk5+erTcl0xesiOjqabt26KbfDnz9/Hi8vL+zt7Rk5ciQLFizgwoULdOjQQYXRvlyKzxM7Ozvs7Ozo0qULdXV13Llzh7i4OM6dO8eOHTsoLi7mzJkzIqF6xYmESg3MmjWLcePGMXz4cGXZ30GDBrFy5UoSEhLo27cvo0ePVnWYKqGtrc2sWbOUVXbCw8PR1NTEw8ODVq1aERoaSmBgoGSbdGpoaJCTk0NFRQUdO3ZES0sLfX19srOz6d27NwMGDCA1NZV+/foxaNAgQNr9pxSDg8aNG1NSUsKBAweYNm0akZGRBAYGYmRkRHV1NSkpKcpVTcV7SooUK5iTJk3Cz8+Pw4cPk5iYyGeffYaLiwt9+vRRi3tHTU0N2tralJeXExAQwOXLl3FzcwOevGZMTEyora1FJpNJejssPNnK1KRJE6ZPn05FRQWzZs2iU6dOFBYW8vPPP3P79m3J9Z8yNTVl+vTpPHz4kDFjxuDs7IyGhgYnTpxgz5496Orq4uXlhYuLC/v371feK9WBTCajvr4eAwMDHj58qJxkSkhIYN68eQC4ublRVVWlFhNQCop7Z1VVFXv27GHHjh0MHTqUIUOG4Obmhq2tLYMHD6auro7U1FQsLS1VHbLwP5LmKEBQysrK4uTJk9y/f58pU6YQHBwMwNChQxk6dChpaWk4OTlJdkD4f2nQoAFvvfUW5eXlFBYWkpWVRVJSEgkJCezbt48ff/wRY2NjQkNDadasGe3atZNM9S7F7FlWVhZ2dnYUFRUBTw7WK3pn1NXV0aJFCw4dOqRWgwQfHx86derEli1bADh16hSffPIJABs3buTmzZt89NFHgLSq+/2eTCYjOzsbW1tb2rdvT/v27ampqaGyspKSkhJsbGzU4t6hGAhu3bqVkydPkpqaSnl5OV27dsXGxgZAeR2keKbuaUZGRixcuJAbN25gbm6Oh4cH2dnZ9O/fn8ePHzNlyhT8/PxUHeZzZ2RkhJGREWPHjqVLly7U1taSnp5Oamoqt2/fJi0tjV9//RV7e3v69u2r6nBfCsW5SplMxmuvvcbq1asZP348enp6VFVV0a5dOwCSk5MpLS1Vjj/UyYoVKzhy5AiBgYHKldv8/HyWLVuGiYkJs2fPxtfXV8VRCs+D6EMlcTU1NZw/f55vv/2Wq1evMmDAAMaPHy+ZpOBFUCQTqamp3Lx5k82bN5OUlATA1KlTeeedd1Qc4fNVWlrK2LFjsbCw4LvvvlMOlrZt26as6PXgwQO+++47SW/3UygvL0dLS4vKykq+++47Dh06RGlpKZqamlhbW5Ofn8/o0aMZO3asJA8TKxKC4uJidu3axe7duyksLMTV1ZWOHTvSoUMHSVaw+zNFRUWsXbuWSZMmYWJiwrZt27h9+zY3btwgOTmZ6upq7OzsaNmyJa+//jotWrSQfFloxZYlmUyGra0t+vr6lJeXc+TIEby9vfHx8ZFkQqlYcfirr2VlZVFQUIC7u7vanBN6WmZmJtOnT1eutlRVVfHVV1+Rk5PD119/jb+/P8uWLVN1mC9VfX09LVq04KOPPmLAgAHKx6urqwkPD2fBggV88803vP766yqMUnheREKlRv71r3+xefNmHB0dmTp1qrLKn7p7+oOyvr6euro6IiMjuXz5MocOHaKgoAAfHx+cnJyYPn26JJPR8PBw9u3bx5o1azh16hRfffUVy5YtIzc3ly+//JKpU6cyaNAgSSdUiq17W7du5dGjR8qmrRcvXuTmzZsUFhYCT84UtW/fXpWhvlCK6/Djjz+ybt06/Pz8cHZ25tatW6SkpFBSUoKpqSleXl4MHjyY7t27qzrkF2bbtm1s2bKFPXv2KBOliooK8vLyuHfvHqmpqVy7do0bN26QlZVFfX09V69eRVdXV8WRvxgZGRksWrSIK1euUFJSgr6+Pv7+/owZM0a5GiFFis+IGzdusHXrVs6fP4+9vT0dO3YkNDT0mZYBUl+hVLh+/To2NjY0aNBA+fmZm5vLhg0bOH36NGVlZVRVVVFeXs7QoUMZP3682hS+UrwGLl26xOTJk9m6dSsuLi5/SMrff/996urqWL16tWQ/V9WJSKgk7ukBcE1NDdeuXWPDhg0kJyczcOBAJkyYoJZv5N9/6OXm5nLt2jUiIyOJjo6muLgYa2trgoOD6devH46OjpJMpJ72dPnbCRMmkJycDEDXrl35/PPPMTExUXGEL8fSpUvZuHEjwcHBvP/++8piHFI+K/U0xYd+r169aN++PdOnT0cmk5GTk0NWVhZpaWkkJydz8uRJOnfuzKxZs1Qd8gszevRobG1t+eKLL5QDod8Plh8/fkxOTg6pqamUlJRIrhiB4r6QnZ3N+++/T2FhIQMHDsTKyooHDx4QFRVFWloa8+bNe2YWXoqGDBnCvXv3aNWqFefOnVNukzY1NaVt27Zoa2szZswY5fk6qbp16xZvvPEGrVu3xt/fHy8vLxwdHXF2dkZfX5/c3FySk5Opq6vD29ubBg0aSHI1//9y9epVpk6dyvvvv0+fPn2UjyuG3Rs2bCAiIoLw8HAVRSg8TyKhkqDfJwv3799HR0cHIyMjHjx4QEpKChEREZw8eZJWrVrx7bffqjBa1cnNzSUpKYn9+/dz9epVHj58iJmZGa+99hotW7YkNDT0mao7/27Lx6ustLSUgoICnJyclI9VVVVx4sQJtLS0CAoKUrsDsydPnmTt2rUUFhYyceJE3njjDTQ0NKipqUFLS0vyM9B1dXWMHj2aXr16MXDgwD98vbKykuzsbMzNzTEzM3v5Ab4kgYGBLF++XNnQGp5cG8U9Vh0moxSTcj/88AO7d+9m1apVyhWZ6upq7t+/z7Jly7h06RL79+9XnimTCsXfOiUlhUGDBrF27VqaN2/O8uXLefDgAc2bN2fz5s3k5ORgY2PDrl27JHcNfi8/P59169Zx+fJlbty4gVwup2HDhjRp0oSAgACaNm2Ki4sLxsbGalWI4s+MGDGC1NRUPvroI1q0aIG9vT0AiYmJfPrpp7Ro0ULSk1LqRPrTrWqovr4eTU1Nli5dyrFjxzA1NSUvL4/CwkKsrKzQ09MjNzeX2tpa9PX1VR2uStTW1tKtWzfleZkOHTrQo0cPOnTo8IdrUldXJ7nqXYrk8NSpU+zYsYNbt26hp6eHl5cXLVq0oFWrVvTo0UPVYb50crmc+vp62rdvj6OjI+vXr+fzzz/n7NmzTJw4kcaNG6s6xBdKMXisqKggICCAM2fO/GlCpaenJ/lrkZaWRkVFBYmJiRgYGODi4oKNjc0fkihFgiW1e4SCYvIgMTGRli1bKrcuaWhooKOjQ+PGjZk+fToTJ04kNjb2mZl4KVB8np48eRJPT08CAgLQ0tJCLpdjZGTEqFGj8PHxYe7cuSxbtkzyyRSApaUlc+bMAZ7sfDl37hyRkZGcOXOGiIgIZDIZjRs3plmzZri6utKmTRu1aa3we8uXL+ejjz5i1apVNGrUCCsrK+rq6oiPj8fHx4fBgwerOkThOREJlQQpPvDlcjktWrTAwMAABwcHHB0dKS8vx8LCAi8vL6qrq9V29ujevXvo6upSUVFBbW2tsnSprq4uDg4OWFpaYmJigqampiRnoRWlbhcsWIC2tjZBQUGUl5eTmppKbGwsq1atwsHBAQcHB2bNmqU2K1RPrzo0btyYRYsW0bZtW7755humTZvGO++8Q/v27SU7EaFIqL799ls2bdoEwOTJk+ncuTOurq7Y2tpKrhfbX4mJiQGenC88ePAg9vb2uLu74+npiaenJ87OzpiZmUny/vA0RZJobW3N1atX0dTUVD6mKBVvampKbW2tJLd1KZ5rcXEx5ubmVFZWYmBgwLVr15QNru3t7bG2tuby5cs0bdpUleG+NHK5nEePHmFmZqasAApQUFDAqVOniIiIICoqSll8QZ0SKsV9tK6uDltbW5YtW8bBgwc5c+YMd+/eRV9fnx49ejBp0iS1+WxVB2LLn4RVVFRIduD3PFRXV5OZmcn58+eJjIzk+vXrlJSUYGVlhZ+fH0FBQfj4+GBvb4+lpSUGBgaqDvm5UKxOnT17lqlTp7Jjxw5cXV2pqKggMzOTW7ducfPmTVJTU8nIyODgwYPo6empOuyX4s6dO2hrayOTyUhLS6O8vBxzc3OuXbvG6tWrqaqq4vvvv5d8c8o7d+5w/PhxYmNjSUhIoLa2Fmtra2WDUwcHB1q2bIm5ubmqQ31h+vTpo6zed+7cOeLj48nIyKCmpgYzMzOcnZ3x8PDA29ubxo0b4+rqKsmEQjE4vHDhAiNGjGDChAkMGDDgmTOl27ZtY/ny5URFRUn2NREfH8/kyZP57LPP6Nq1K6GhoUydOpUBAwZQUFDAsGHDmDZtGl27dlV1qC+UXC4nLi6OgwcPUlBQQJs2bRg5ciTwZCvw7z8r0tPTsba2VpvKh4r3S2FhITt37mTfvn3MnTuXtm3bAk+OGlhYWKjtZLaUiYRKwh4+fMiRI0coLi7GwMCAxo0b4+fnpxZbEv6OsrIybt68ydmzZzl37hw3b95EQ0MDPT09Pvzwwz/d+vQqUtzwd+7cydGjR1mxYsWfrjo8evSInJwcPD091aJyVW5uLoMGDaKyspKysjKMjY3R1NSkuLgYe3t7XFxclP1DnJ2d1eKaKMTFxREVFUVMTAyZmZnU19dz8OBBSc86e3t7s3HjRuUqBDx5TyQkJBAbG8vly5d58OABOjo61NfX8+WXX0qu+qPiNf748WOMjY359ttv+emnn3BycsLT0xMDAwNycnI4d+4cffr0Ye7cuaoO+YUpKytjzpw56OnpsXjxYt599100NDRYuXIlP/30E99++y1nz5595tytFO3fv5/vv/+eiooKTExMSE9PV/a43LRpE4mJifj7+zNs2DBCQkIkuQ32PzF9+nTi4+MJCwtj/PjxNGzYkMzMTGbPno2/vz9Tp06V5ASMOhMJlcQoVh/OnTvHsmXLuHfvHlpaWpSUlKCpqUmLFi2YMmUKTZs2lWyRheelsLCQxMREDh06RP/+/Z8ZWL3KFIOk5ORkvvzyS0aPHk2nTp1UHZbK3blzh++//57g4GBsbW2pqqrCxMQET09PqqurqaurU5uyvwA5OTmUlJTg6ur6zLa20tJS4uLininUIDXnz59n0qRJHD58GGtra2Vhht8n0FlZWcTHxxMREcGcOXNo1KiRiiJ+MRSfEfPmzaNNmzaEhIQQFRXFr7/+yt27d6mvr8fY2Jg33niDkSNHqsWse1FREebm5hw7dozp06dTV1eHvr4+Q4cOZebMmaoO74Xr06cPPj4+zJkzB0NDQzZt2sSePXuorq6mrKwMV1dXkpOTkclkfP3112rVzFfx2ZqZmUmfPn1Ys2YNLVq0UI6zqqur2bx5Mxs2bGD9+vUEBgaqOGLheRIJlUT17t0ba2trxowZQ1BQENXV1URGRrJ+/XoeP37M5s2bcXFxUXWYgoo8fvyYkJAQ5HI5jo6ODB06lICAAOzs7DAzM1ObLX7/LSmvSimeW2lpKevXr+fUqVM8ePCAkpISZs6cSadOnTAyMlLu+ZfytTh79iyXL1/m3Xff/cMZqfr6euRyueTPTilUVlbSokULvv32W0JDQ5WPl5SUkJOTQ+PGjdUikYIn54MaNGig/O/Y2FiSk5NxcXEhKChI8tvaiouLadWqFTt27MDPzw+ZTEZhYSGtW7dmwIABfPTRRwDcvHmTqVOn0qZNGz7//HO1OXqgmIDYs2cP33//PVu2bMHW1lZZ2EpDQ4OioiI++OADnJ2d+eSTT1QdsvAciaIUEqIY4CiaTC5duhQvLy/q6+vR0dHhjTfewM3NjbfffpsTJ04wbtw4yQ6I/h2xMvekStvy5ctJSUkhOjqaZcuWoaOjg6urK82aNcPf3x93d/dnGlZKXWVlJb/++itnzpwhOzsbNzc3unXrRkhICJqampJOIOC3am7z5s0jISGB1157jbfffptZs2ahp6fHsWPHuHDhAp999hkNGzaU9LVo06YNbdq0+dOvPX3vUFSFVAyWpOTp/lN+fn5UVlY+83UTExNMTEyoq6tTUYQvT2ZmJps3byYhIYHc3FxcXFxYuXIlAQEBktm58J+Ijo7GysoKBwcH5ev94cOH6Ojo8NZbbym3O4aEhDBy5EiOHj2qynBfOsW9wcLCgpqaGjIyMrC1tX1m8sXY2BgbGxsKCgpUFabwgqj3qFJiFIuNqampODo6Km9uGhoayq81adKEbt26kZCQILkBwH/q6QFRfX29suyxOtHW1qZHjx5Mnz6dgwcPcvz4cebOnUujRo04ceIEM2bM4LvvvgOQ9LVRPLfCwkIWLlzI7NmzuX79OlpaWpw5c4aJEycybdo0iouLJf1+UVyHtLQ0oqOj+eSTT/jss8/o1q0bAD4+Pvj4+BAbG0tkZKQqQ30p6uvr/6PvU1SFlOJrQ3ENLl26xIMHD1i0aBHh4eHcvn2bmpoa5fdJdaVO8fwTExOZOXMmhw8fplWrVrRq1YqbN2/y8OFDpk6dyt69e1Uc6ctz/Phx2rRpg4WFhfI1f/z4cVxcXJRFShT3EgMDA6qqqtRmdeppzZo1w9TUlPnz5/Prr7+SnZ1NaWkpAOfOnePs2bO0a9dOxVEKz5tYoZIQRaKgODwfERHBqFGj0NDQoLa2Fi0tLSoqKsjJyZFsJab/S05ODkePHmX48OHKam5Pq6urQ0NDQ/IrWIsXL8bS0pKAgACcnZ1p1KgRAwYMYMCAAcCTQYTiGij6sEhRXV0dWlpa/PLLL5w5c4bly5fTs2dP8vPzyc7OJioqinXr1qGtrc2KFStUHe4Lo1iNSEhIwMHBgWbNmgFw4sQJTExMcHd3x9DQkB49ehAbG6us6iVVUn///ycU7/lbt26hra1NdnY2ixYtUlY09PT0xNvbG0dHR8mdHYPfdjJs3boVmUzGtm3bcHV1ZcmSJfj4+NCwYUPq6+tZv349HTp0UIvP1GvXruHh4UFERAReXl44ODhw+vRpOnbsqNwmLpfLqamp4fTp02p7RsjExIR58+bx8ccf88EHH+Dj40Pjxo0pLCwkLi6OLl260KVLF1WHKTxnIqGSIH9/f3x9fVm3bh3w5BCpmZkZhYWF/Otf/+LmzZt89tlnKo5SNc6dO8eJEycYNWoUFy5c4IcffqBr164EBwdjb2//TOKg2M4jtWSipKSEuLg4cnJyAPDw8FD21/Hx8cHJyQl/f3/l90vt+T9NMXCOioqiV69edO7cGXjSuNLS0hI/Pz9MTU3517/+RXp6umTPHSqug7GxMUVFRaSkpGBpacmJEycICAhAX1+f2tpaamtr1ea8jPDE7NmzmT17NmlpaZw5c4bz589z8eJFTp48iZGREYaGhmzYsEFy1WO1tJ4Mj65cucJbb72lXIE5c+YM7du3x9LSktGjRzN//nySkpL+couoVBQXF2NhYUFmZiYLFy7E2NgYBwcHEhMTCQsL49GjR5iamip7HF67do3FixerOuyXTpGIBwUFsX//fmJiYjh27BiXLl3C1taWadOmMWDAAMmft1NHIqGSkMLCQkpKSnB2dmbevHl89dVXfPfddyxevBgrKys0NTXJz89n3LhxzxwuVietWrXCx8cHeLK96fr16yQlJVFXV0fDhg2Ve+KDgoIwNTWVVDKhuNEXFhZibW1NcXExzZo1o6CggLi4OPbu3YupqSlNmjTB39+fjh074ubmpuqwXyiZTIZcLlfOqirK2NbV1VFfX4+2tjYhISH8+OOP5Ofn4+LiIumzVGFhYaxatYrvvvsOS0tLzp8/z4wZM5R9y65cucL777+v6jBfqMLCQszNzSX7N/5vVVVVoauri6urK66urrz11lvU1dVx6dIlzpw5Q0pKiuSSKYXy8nJsbW25fPkyI0aMoL6+nrS0NGbPng08aXacn5+vFtU/zczM2LlzJ6mpqVy6dInExEQyMjJo0KAB27dvJyIigsaNG+Pv749MJuPRo0fK3kvqQi6XI5PJePjwIfn5+crGvsuXL0dTU1P5XhKkSVT5k4Dc3Fy++eYbEhISMDAwYPjw4QwYMICSkhKOHDmifGPr6Ojg4eEh6XLH/43Kykpu377N7du3SUlJ4datW2RlZfHo0SMMDQ0xMjJi/vz5ktm2oCj9PG7cOAwNDRk3bhxNmjQBID8/n5iYGFasWEFNTQ0ymQw7OzsWLlyo/B4p+/rrr9m5cycHDx78Q0+u06dPM3HiROLi4iTT3PnPKBLF+Ph4PvnkE3Jzc6mqqiIsLAx7e3sOHjxIYGAgS5Yskex1yM7OZtasWXz11VeYm5uTlpaGlZUVhoaGfzq5ItXkWjH5kpGRwb59+7h48SI2Nja0bNmSoKAgya7UKjy9O2HLli0sXbqUDRs2UFNTwwcffEBCQgL19fVs3ryZH3/8kbNnz6o6ZJUoKioiKSmJS5cuKYthVVRUkJeXR5MmTdixY4eqQ3zpTp8+zerVq7l58yZ1dXVYWlqydu1aqqurCQoKUnV4wgskVqgkYP78+dy+fZt27dpx//595s6di46ODikpKRw8eJC8vDyaNm3K7NmzCQgIUHW4KpOUlMRHH31E7969ad26NT4+Pvj6+uLr6ws8mZlOT08nJSVFOQsnpX3xigHh9evXmTNnDk2aNKG2thZNTU0sLS0ZMGAAaWlpPHz4kDfffJNZs2axbds2Fi5cqOLIX7yOHTsSHh7O8OHDGTx4MF5eXlhaWpKZmcmKFSto2bIlBgYGkq4QqUgMQkJC+Pbbbzlw4ACXLl3i3r17ZGZm0qVLF2bOnCnpGdaCggIsLS0xNzfn/PnzjBs3jtdee42AgAC8vb2xt7fHwsJCmVBKMZmC37aAfvbZZ1y9ehUfHx/OnDlDVFQU+vr62NnZ0bx5c7S0tBgxYgR2dnYqjvj5UhQbAejZsycJCQmMHz8eHR0dTE1N2bVrF6mpqURERDB06FAVR/tyPd02wNzc/JmKmFlZWVy/fp0zZ87QsmVLFUf68ig+Fy5dusTChQuxsLBg+/btpKenM2fOHLS1tVmyZAkmJibKYk+C9IgVqldcSkoKI0aMYOnSpXTs2BGARYsWcezYMaqqqujQoQN6enocP34cAwMDNm/ejL29vYqjVo2EhAQWLVpEXl4e+fn5WFpa0rZtW4KCgggODsbJyemZ78/NzZXcVpaioiLGjh2Lj48PCxYsUD6uSKyuXLnC5MmTOX36NL/88gubNm1i06ZNkrsOd+7coVGjRspzEvDkbMTKlStJSkrCxMQEDQ0NHj16RFhYGNOmTcPV1VXSCVV1dTWpqakUFBTQqFEjnJyc0NDQUJ6dUDd37txh48aNJCUlkZycDICTkxMBAQEEBQXh7OyMs7Oz5K6NYtUtJSWFQYMGsXLlSlq3bs2XX35JdnY2jRs3Zvfu3VRUVGBsbMzBgwextbVVddjPRV1dHVFRUTg7O2Nra6uslPv48WN27dpFdHQ0Dx8+pLy8HC0tLd577z169+6t3CqsjhTVEKV6X/xPKIp+ffzxx+Tk5LBkyRKsrKxYv349Bw4cYP/+/ezYsYOvvvqKTZs2KSdxBWkRK1SvuGPHjtGoUSNatGihfFN7eXmxbds2vv/+e0JDQ6mtraVTp05Mnz6d48ePM3r0aFWHrRKBgYF8//33FBcXc/v2bZYuXcrevXuVZW8bNmxImzZteO211/D19cXGxkZyW3rMzc157bXX+Prrr3F2diYsLAxHR0e0tLSorKzk0KFD6OrqoqGhgYmJCUVFRZJLppKTk5k0aRK//PILhoaGXLx4EUdHR0JDQwkNDSU9PZ3Y2FiKiopo1aoV7u7umJiYANIdNNTU1DBnzhyOHj2KpqYmVlZWODs706RJE3x9fZWV3KS61U9BMZh2cHDA2dmZzz//HHjSa+fChQucOnWKuLg4Dhw4QE1NDV988YWyMqZUKLa6RUdH4+HhQevWrdHR0UFPTw9HR0fmzp1Ly5Yt+eyzz1i2bJlkkil40tB58uTJODs74+Pjg7+/P66urnh4eDBmzBjefPNN7t+/T11dHa6urqoO9x/hz/qyqUOl3KcpVjPT09MJDAxUTrJERETQqlUrNDU1CQ0NZfv27dy8eVMkVBIlEqpXXGRkJKGhoejq6ipnis6fP0+bNm0IDg4GnlQratWqFc2bNyc1NVWV4aqUlpYW1tbWWFtbs379ehwdHZk4cSIODg5UVFQQGxvLvn37CA8PB2DNmjWEhYWpOOr/3e+TwgkTJpCfn8/GjRs5duwYTk5OaGpqcuvWLfLy8pRFB6KiopQFPKTE0NCQYcOGYWZmRmRkJO+99x6enp40adKE5s2bExAQwLBhwySVSP8VxYrb6dOnOXHiBBMmTFBu77p06RLbt29HJpNhaWmJm5sbK1eulOx1SUtLY8qUKcoSx4rKl+7u7tja2tKtWzdlX647d+4QExNDSEiIiqN+/hQD4by8POzs7JRnL69fv67c2uXq6oqDgwOZmZmS2doll8tp3bo1X331FWfPnuX06dMcOXIEbW1tnJ2dadq0Kc2aNcPHxwdra2uqq6vVemXqzzy9VVKdaGhoUF9fT0BAADExMYwZMwZLS0tu3rzJpEmTgCevr5ycHNzd3VUcrfCiiITqFZeamsq8efPQ1NRU3sjOnTvH2LFjnznrUFdXR15enmQKLPwdisHjjRs3iI6OZv369c8cEm3ZsiUtWrRg/vz5DBgwgFatWqkw2uejoKCAHTt2MHr0aAwMDHj8+DHGxsbMnDmTwMBADh8+TFpaGhoaGlhZWfHBBx/g5ubGxIkTuXPnDtOnT1f1U3juHBwcePvtt4En54UWLlzIhQsXiIuLY8+ePejr6+Pm5kZwcDA+Pj4EBARIss/O086fP09oaKjynEinTp0AyMzMJD4+nsjISGQymWSTKQALCwsmT57MjRs3uHTpEmfPnkVXVxcrKyu8vb1xc3PD29sbFxcXnJ2dGTVqlKpDfiEUf+PQ0FA+/vhjUlNTCQwMJCMjgzfffBMAIyMjCgoKMDU1VWWoz5WGhgZaWlp07dqVrl27Ak9WJmNiYoiIiODo0aP88ssv6OrqEhAQgKurK3369HmmxYQU1dXVsXXrVgIDA3FwcMDExOSZrdLCb9X9wsLC2Lt3L6tXr8bX1xc9PT38/PwoLCxkz549GBoaqvU5dqkTZ6heYZcvX2bo0KF06dKFwMBAmjdvjqmpKZ07dyYqKkp5UFgul5Oenk7v3r3Zv3+/5Eth/xVFQvXLL7/www8/sGnTJuzs7P6wgjNr1iz09fX59NNPVRjt87Fv3z6+/vproqKiuHz5MmvWrKFDhw74+Pjg5eWFoaEh1dXVVFVVKc8LXLlyhS1bttCtWzc6duyoVh+eaWlpxMbGcubMGa5fv05+fj4LFixg4MCBktv++bTo6Gj27dvH4sWL0dfXV3U4KpeWlsbkyZMpLy/HxMSE2tpaampqqKurw93dnYYNGxIWFibp3kOFhYVMmTKFhg0bsnTpUoYOHYq7uzuff/45O3fu5Msvv+Ts2bPK+4YUKNonPD1B+bSsrCxiY2PZtWsX165dY+PGjbRu3VoFkb48N27coH///ujo6GBtbU1wcDChoaHK94GhoaFk74t/x5YtW/jqq68oLy9HU1OTbt26kZWVRU5ODpMnT6Z///6qDlF4QURC9QpLS0tjxYoVPHjwgOLiYuWKVF5eHjNmzCAkJARXV1c0NDSIjo7mgw8+4NKlSyqOWvUuXrzIxIkTGTFiBO+9956yEaFMJqOyspKpU6diamrKkiVLVB3q/0SRANTU1KCtrU1kZCQffPABlZWVaGlp0bhxYwIDA2nWrBmurq5YWFhgZ2dHbW0t1dXVkm08qLguhYWFLF68mICAAGVD46erOtbU1HD16lVcXFywsLCQdEKVkZHBmDFj6NSpE7169cLR0VFSFS7/E3K5XNm4eODAgXh7e/P222/j7OxMaWkpV65cYe/evRw9ehRDQ0MWLFhAly5dVB32C/H0az0zMxMHBwd27NjB/PnzMTMzo6amhu7duz9T2EZKqqurgSdnYxITE5WTThkZGdTW1vLo0SMiIyPZs2ePpKtewpNrkZmZSUZGBlevXmXnzp2UlJSgr6+Pk5MTzZs3p1WrVnh4eGBubi7Zz43/y5IlSxg6dCiOjo5kZ2cTFRXF9evXSU9Px8HBgREjRojVKYkTCZUE1NTUcP/+feLi4oiMjCQjI4Oamhr09fVp2LAh3t7eJCQkYGxszA8//KDqcP8RPvnkEw4ePEj//v3p3bs3dnZ2FBcXs3PnTk6cOMH8+fPp0KGDqsP8nz1dlS4tLQ1XV1fy8vI4efIkkZGRJCQkUFZWhrm5OZaWlnz88cfKrY5STSAUz+vChQtMmzaNyspK9PT08PT0xM3NDR8fHzw9PXF0dJT0ao3ibExsbCyLFy8mJSUFABsbG3x9ffHz81NeB1tbWwwNDVUc8YuleF3cuXOHPn36EB4ejru7u/I6KQwePJigoCDee+89SV+TsrIyysrKnmlau2/fPhITE/H396ddu3aSqnAYGxtLbGwsOTk5VFVVkZ6eTl5eHrq6uuTl5QFPzpcpepJ5eXmxefNm1Qb9kijeG/v372f79u0YGBgQEhJCXl4e58+fJz09nUaNGmFpacnYsWMlcfb4v/Hw4UPCwsJwcHBg4sSJhIWFoampSXl5uaRWcIV/T3328kiY4tCss7MzgwcPpry8nPT0dM6cOcPJkyeJiIjg7t27LF++XNWh/mN88MEHWFhYsG/fPv71r39hZGSkHDRNmjRJMh3eFclUfn4+PXr0YP369bRr146BAwcycOBAAG7dukVMTAy7d+9WnomQcnlwxeBAkUg5OzvTsGFD8vLyiI6OZseOHcqJiGbNmtGtWzdJDRx/b9OmTWhqavLDDz+go6PD0aNHOXv2LJGRkejp6WFsbMzYsWN56623VB3qC6WYPMjLy8PIyIi7d+/i7u6OpqYmdXV1yOVytLS06NatGzExMZJNpuRyORcvXmTTpk0kJiZSWlqKq6srPXv2ZMCAAbzxxhuSnGh5//33lWdcSktL8fX1xcnJCQsLC5YvX06vXr3o2bMnBgYGuLq6qk3xhacn1pYsWcL48eN58803lZ8PpaWlHDp0iPnz51NfXy/Z98VfkcvlWFlZsWfPHr7++msWL15Meno6EydOFMmUmhErVBInl8t59OgRSUlJBAYGSnrG/e9IS0sjLS2NwsJC6urqCAoKwsvLS9VhPTeKD8O4uDiWLFnC2rVrsba2pqqqCplMptZVqkJDQxkyZAhvvvmmsiz6gwcPOHjwIF999RUNGjSgrKyM4OBgFi5ciKWlpYojfjH69+/PiBEj6Nu37zOPFxcXc+7cOXbv3k3fvn3p2bOniiJ8uaqrqxk2bBjV1dUsWrQId3d35fskOzubBQsWIJfLWbt2rYojfb4UbTcSEhL49NNPqaqqomPHjhgaGpKSkkJcXByNGzdm1apVf+jZ96p7/PgxEydOJCEhgXfeeYf33nsPbW1t5df9/f1ZvHgx3bt3B6Q94fR7is+Qy5cvM27cOHbs2PGn57Dnzp1Lo0aNmDBhgiQT7n9HcY1ycnLYunUrW7duxcHBgffee4+wsDB0dHQku+ND+I1YoZI4DQ0NzMzMJH9w9u9ydXWVdD8RxU08OzubqqoqTp8+zYABA9DT01N+j+Kwvba2tuRnXRXX4+bNm1RWVtKtWzdMTEyUJZAbNmzIhAkTuHjxIsHBwfj5+TFx4kROnjwpycPEVVVVhIaGcv369T8kVGZmZnTv3l05iFQXOjo6zJ07lzlz5jBlyhRllUcDAwOOHTtGWVkZ8+fPV3WYz50iQdi+fTvW1tYsXbpUWR68pKSES5cuMX/+fL744gu+++67ZxKOV52xsTGbNm1i27Zt/PTTTyQnJzNjxgxcXV2Jj48HeGaiTV2SKfht5VZTUxMzMzPOnTv3h4Sqvr4eGxsbjh07xjvvvKOKMFVKUTbd1taWGTNm0K9fP7799ls2b95MVVUVffv2FcmUGlCfu4Ig/B8UfbykRPHBHxkZSU5ODnPnzmXMmDFs27aNtLQ04MmWUT09PcknU/Db4KC6uhoDAwOuXLkCoFyBULwGWrRoQWRkJC1btqR79+4cPXpUJfG+KHV1dQAcOnSIHTt2sG3bNpYuXUpCQgK5ubnU1taqOELVCggI4LPPPiMkJITr169z8OBBduzYga6uLqtXr5ZES4WnlZaWotis8vDhQ4KCgpRnp3R0dLC0tKRz587MmjWLtLQ0bt68qcpwnzvFds6hQ4cyZcoUbt++Td++fQkPD2f37t14e3s/c5ZMHfn6+uLv78+GDRvYvXs3ubm5lJWVAU8KPUVERCh7X6qTmpoa4MlnbWZmJunp6djY2NClSxeqqqqYPXs2b731lrLQiSBdYoVKUEtyuVzZO0JBqrOOtbW1dO/eHT8/P1JSUkhNTWXt2rWsWbMGa2trZcPK3r17S/Ya/F7Tpk1xd3dnyZIlaGpq0rJlS2xtbZHJZKSmpnL8+HHlLKxMJkNqO6MVybOjoyNBQUEkJiayceNGwsPD8fLyomnTpvj4+NCoUSPc3NwwMDBQccQvX/PmzWnevDnV1dVkZGSgr6+Po6OjqsN67q5fv87UqVPp3LkzwcHBtG/fnhMnTjB48OA/JBEeHh7k5+dLbuu4YqJFR0eHPn360KlTJ1atWsXq1avJz89n7Nixyup16rTd72kymYx33nmHBw8eMGfOHOzt7fH09KS6upozZ84QFhbGiBEjVB3mS6MoVrN//342btyonKQrLS3lwYMHODo64uLiQm5uLo8fP1br7fXqQpyhEtSG2MP8WwnclJQUUlJSuH37NikpKejp6XHo0CFVh/dSFRYWMnv2bJKSkpSV7Gpqarhw4QKWlpasWrUKS0tLhgwZwvDhwyU5WNi/fz9vvPEG8KRJeGRkJFFRUdy4cUP5ftm+fbvkm5f+GcVqpdQHz9evX2fVqlVkZmaSmZmp3L7Uo0cP3n77bTw9PQHIzc0lPDycQ4cOceLECRVH/WLI5XLq6+vR1NSktLSU/fv3s3PnTkpLS3n33XeVhXzU3fnz5zl16hTXrl2jtraWnj17Sr54z1/55JNPyMvLw9PTk5qaGqytrfH29qayshJtbW18fX3R1dWVfHl9QSRUgpopLCwkJSWFvLw87O3t8fb2lnxVovr6eq5du4auri4uLi7PzJSVlpYqe6sEBgaq3exrfn4+R48eJTo6mtLSUrS1tWncuDHjx4+nqKiIjz76CHNzc1avXo2VlZWqw30uFH/j2NhYxo0bR3h4ON7e3n/4vri4OI4dO8aHH36olitUT1OHyZji4mLS0tK4du0aV69eJS4ujqKiIuzt7XFxcSEjIwNra2vmzp37p68XqYqLi2P16tVcvXqV/v37M27cOBwcHFQd1kv3+PFjkpKS0NLSor6+HkdHR2xsbAD1XbVT+Hf3B3W4dwhPiIRKUAvV1dVERUXx6aef8ujRI0xNTTE2NsbV1ZUBAwbw+uuvqzrEF2bNmjVs3LiR8vJyzM3Nadq0KS1atKB169a4u7vz+PFjZbl0dVBbW0t2djYPHz5EV1dXWcWtqqoKDQ0NdHR0qK6uJjo6msjISMaMGaOcpZcCxeDnyJEj7Nmzh8WLF2NpaUl1dbVyG6yUCg78Hb/vPSVVdXV1REdH07hxY2xsbJTb2urq6nj48CEpKSmcP3+eK1eukJOTQ3Z2Nhs2bJBMW4l/5+mBcE1NDVu2bGHZsmUMGTJEkkVJ/p3Lly+zYsUKUlJSqKiooLa2lvXr1ytLyJubm6tlUlVbW0tWVhbJycnU19fTuHFjnJ2dJbclVvjPiIRKkDTFwOjIkSMsW7YMf39/Ro8eTU5ODlevXuX48eMUFBQwb948SVVxU3y4JSYmMnr0aF5//XWCg4PZsGED5eXllJaWUl5ejpOTE7W1tRw8eFDyqxCKAdJPP/3E119/TVlZGfr6+ri4uBAYGEhAQACNGzfGwsICOzu7ZxIsKVFch1WrVrF7924mTJjAyJEj//A91dXVaGlpqUVi8X+RaoJ16tQpxo8fj5OTEz4+PjRt2hRPT08cHBywtrZWvvYVW4WvXbtGWFiYMvFSB4r3S3V1NT///DMeHh5qUTVX8bxzc3MZO3YsBgYGjBs3TrkNeuvWrezZs4ebN2+yZcsWZesJdaC4Hxw6dIjVq1eTmZmJiYkJjo6OODo64unpibe3NxYWFnh4eEjuM0T4cyKhEiRNceN76623aNSoER9++CHm5ubPfH3ChAk8evSIbdu2oa2tLYnleUVPmUWLFpGYmMimTZuoqqri888/x8nJiXbt2jFv3jyysrIYP3487777rlrMMBYWFvLaa68RFhbGwIEDSUpKIioqiqtXr1JVVYWlpSX29vZ88803kq7qVV1dzbhx40hLSyM/P59GjRrRsmVLWrVqRXBwsKSf+1+pra3l5MmT7N+/n/r6ery8vAgNDSUgIEDVob0Qcrmcuro6Tpw4wdmzZzl9+jQ5OTloaWnh6upK06ZN8fPzw83NjUaNGmFubo6WlqhjpS4Un53/+te/2LJlCxs2bMDJyYmYmBhmzJjB8ePHuXz5MtOnT2fhwoVq1V5BkWz26tWLBg0aMH36dH7++WfOnTunTEItLS0pLS1l2rRpkm+KLjwh7o6CpClmlR88eEDnzp0xNzdXDiTkcjna2toMGDCApUuXkpSUJJnBkyIxunHjBm3atEFPT4+qqirS09Np27YtAQEBjBkzRtm09emfkSJFsnjq1CksLS2ZNWsWDRo0ICQkhFGjRgGQmJhIREQEcXFxkk8otLW1mTFjBllZWaSkpJCcnMylS5eIjIxES0uLhg0bEhwczIcffqjqUF+K8vJy1q5dy4YNG3BxccHU1JTt27ezZs0aQkJC+PTTTyXXr05DQwMtLS26du1K165dgScl02NiYoiIiODIkSPs2rULfX19ZWLVp08ftSxQoo4UE4tJSUl4eHgoG5tHRETg7++Pubk5ISEhyiqh6pRQKZKmjIwMPv/8c/z9/cnIyKCyspKlS5dy4sQJpk+fTt++fenRo4eqwxVeEpFQCZJXUVFBkyZNOHfuHMOHD1cOJBQaNmxIQUEBjRo1UmGUz5dMJlM2W7x165ay4EJqaip+fn4AeHp6kpOTQ25uLra2tpI+PKtIFm1tbfHx8aGqqgp48trQ1NRER0cHf39/tRksamho4Ovri6+vL127dqW0tJT09HRlWf3Lly/z4MEDVYf5wilm4Y8fP87+/fuZN28e/fr1o7KyktLSUk6ePMmaNWtYs2YNy5cvl9y2P7lcTk1NDZqammhqamJlZcXAgQOV1eyysrKIjY1l165d/Pzzz4SFhak4YuFlUdwzvb29Wbt2LSkpKTRr1oyzZ88qK54qtoKq0+tCMTl36dIlHB0dsbe3Ry6Xk5uby71799DR0SE0NJSWLVvi4+OjTEQF6RMJlSB5+vr6tGjRggULFrBmzRr69u2LpaUlurq6FBcX8/PPP2NnZye5G59MJiMsLIx58+Zx+fJl3Nzc0NLSori4GICCggLy8/Px9fUFkGwy9bQrV64QGxvL+fPn6dev3zOHh6urq6mvr0dXV1fy16K4uJhDhw6hpaVF8+bNcXNzeyahLCwslGSj679y7Ngx2rRpQ//+/dHT00NfXx9zc3NGjBhBXV0dmzZt4ubNm8r3ilQ8XYRFkVwmJiZSXV1NVVWVsgJoq1atKC8vJygoSNUhCy+JInHo2rUrW7duZdWqVQwfPpzc3Fy6du1KVVUV4eHhlJWV0alTJ1WH+9IoEk0TExNkMhl3797F2tqa69ev4+TkBDzZGWNvb8/Vq1f/cD5VkC6RUAlqoX///ly6dIk1a9Zw8OBB/P390dLS4uzZs+jr6zNlyhRVh/hcPX78GGNjY9q2bcuoUaMoLS3Fzs4OX19fVq5cSd++ffnpp58ICAhAU1NTsofun5afn8+BAwcwMDBg3rx57Nq1i7CwMDp27Iirq6vkDw4rViCLioqYPXs2MTEx6OnpUVlZScOGDQkICKB9+/YEBARQUlKCj4+PqkN+4RSv+bq6OgwNDdHU1KS+vl45mJTJZLRv356ffvqJzMxMSSVUsbGxxMbGkpOTo9wOnJeXh66uLnl5ecCTwaPiunh5eYleOmpEkThYWVnxySefsGTJEj788EPkcjmzZs1CU1OT5ORkxo4dqyyfrk6aNm2KpqYmCxcuZO/evVRXV2NmZgY8qQp59epVhgwZotoghZdKFKUQJKe6ulrZZ0oul7NgwQJmzZqFrq4uCQkJHD58mMTERB4+fEjr1q0ZMGAAQUFBkjhDJJfL2blzJzt37iQ0NJTp06c/s9qSkJDA4sWLuXHjBqGhobz//vv4+fmpRUJVUVHB5cuXyc3NJSUlhStXrnD79m1KS0sxNzfHz8+PPn36SPYsgOJvvGPHDr755hsmT56MjY0Na9euRUdHh4KCAjIyMgCwtLTkzJkzKo745Vm3bh0bN27k0KFDf+g3dvXqVUaMGMGvv/4qqW3BISEhGBoaKhNoa2trnJycsLCwYPny5fTq1YuePXsqS2NrampKfuVWeKKkpIScnBzs7OwwNjYGIDs7m1OnTnHr1i0ePHiAjo4O/fr1o3379iqOVnUyMzM5d+4cgwcPZs+ePSxYsIB+/fpx69YtMjIy+OWXX7C1tVV1mMJLIlaoBMlJT0/nxx9/xMfHh5KSEvbu3cuIESNwdnYmODiY4OBg5fcqquFJQVFREevWrWPz5s0EBATg6emJhoaGcra9rq6Ow4cPM2zYMFq0aIGJiYmy1K3Ukyl4svVTUe64traWgoICMjMzSU1NJSkpiZiYGCwtLenevbukE8xjx47RsWNHhgwZQl5eHmZmZnTq1IkOHTrw3nvvoa2tzcyZM1Ud5kvVo0cPtmzZwoABAxgwYAAtW7bE09OTpKQkVqxYQZMmTSSVTD1+/BhPT08SEhJ44403lH93hS+++IKgoCACAwOBJ9u/RDIlfTU1NRw9epRNmzaRm5uLu7s7U6dOJSAgADs7OwYPHkxZWRm6urqS+dz8Xzg4OCjPG3bv3p24uDiOHj2KjY0NM2bMEMmUmhErVILk3L9/n+XLlxMREQGAnp4eoaGhNG/eHHd3d2UJYH19fY4cOUJxcTHDhw9XcdT/uy1bthAeHs7IkSMZNGjQH5LF9PR0Bg8ejJWVFZs2bVK7bRq5ublcvHhROeNua2urHERWVVVRUFCAnp4eFhYWki4h36tXL95++2369u1Lbm4u/fr1Y+3atfj7+xMeHs6ePXtYtmyZpBKIP6P4G//666+0aNGCrKwsvv32W27dukVtbS2lpaVUVFQQHBzMjBkzJFewpLa2lm3btvHTTz/h4eHBjBkzcHV1JT4+nrFjx7Jv3z5cXFxUHabwEsXExDBnzhxMTEzw9fXlxIkTNG7cmB9//PGZdiOlpaVkZmZy6dIlhg4dKtl75V9RnEG1sLCgXbt2GBkZUVJSgrGxMY8fP6a6ulpyZ7KF/5uYYhAkx97enlWrVgHg4+ODq6sraWlpREREoKGhQePGjQkJCcHGxoZNmzbRrVs3FUf8fOzdu5eOHTvSu3dvgD/MIDZq1IivvvqKKVOm8NVXX7Fo0SJJV/aD384NZWZm8sUXX3Dy5ElkMhmmpqZ4eHgQEBBAcHAwjRo1Up4lAumWkC8tLcXFxYXDhw/TvXt3KioqKCwsxN3dHblcjru7Ow8ePHimWIdUKf7Gn376KV988QWdO3dm8eLFXL58mZSUFGQyGR4eHjRt2hQLCwsVR/t8yeVytLS0GDp0KKampspiPfPmzePChQt4e3tLvnWA8Ee7du3Cy8uL+fPn4+DgQExMDPPnzyc5OZmQkBDi4+M5dOgQt27d4tq1a/j4+EhiMvK/tWTJEg4cOEC/fv3o3r07ERER/PjjjxQVFTFq1CiGDh2q6hAFFRAJlSBZcrlc2UfGyMiI3Nxc4uPjOXXqFFFRUWRnZ+Pl5aUsAfsqq6mpIS8vj6CgoL88OK6jo0ObNm3o27cvly9fJi8vT/KDprq6OrS0tPjll19ITk7myy+/REtLi3Xr1lFSUsKuXbtYv349JiYmeHp6smXLFlWH/EIoEksjIyM6d+7M559/zsWLFzE1NcXExITk5GQCAgKIj49HQ0ODBg0aqDrkF0pxPVJTU7G0tFSuxpmbm9OpUyfJVy1TTKLo6OjQp08fOnXqxKpVq1i9ejX5+fmMHTsWIyMjAEmv1grPio2N5YsvvsDe3p66ujpCQkLQ1dXlxIkTrF+/ntjYWADc3d3p3bs3/fr1U3HEL4/ifRAfH09UVBTLli2je/fuZGRkMHPmTGxsbHBzc2PFihX4+PjQtGlTVYcsvGQioRIkS0NDg06dOvH48WMeP36MjY0NvXr1olevXsCT0tBlZWU4ODioONL/XVZWFjY2NhQXF/+fK04hISGcPHlSsmeEnqYYCJ44cYKBAwfSv39/UlJSsLGx4a233sLOzo4xY8ZgZ2fHuHHjAGmdq1PQ0NAgKSkJW1tbXn/9dbS0tGjQoAEeHh44OTkxc+ZM/P39OX/+PH369FF1uC+cIqHKzc1FT0+PEydO/GlVw5qaGrS0tCS7iiuXy6mvr8fExIQPPvgANzc3du7cyZEjR3BycmLgwIEimVITycnJ1NTU4O/v/8zf/N69e+zevRs3NzdmzZpFQEAAHh4eGBgYqDDal09xOiYqKgo/Pz+6d+9OcXExq1evxtzcnA0bNmBubs4777xDRESESKjUkLRGDYLAbzNJN2/eZNu2baSlpeHo6EiTJk1wdXXFwcEBS0tLLCwssLCwkMS2N3t7ewwNDTl9+jRvvPEGdXV1yg/Fp59bXV0dhYWFVFVVSX4VAp4kVNXV1ZSXlxMQEKB8/ObNm3h7e2NjY8PgwYPJzMxU9tiRWjKVnZ3NokWLOH/+PG+++SaTJk2iS5cuyq8vWrSI9evXc+nSJYYMGaIWW3gU74n9+/eTnp6uLErStm1bAgICaNKkCdbW1s8UapAiDQ0N5cSKkZERw4cPx83NjdWrVzN//nyuXbvGuHHjJDHpJPx7x44dw8PDgwYNGignleLj45HL5UydOpVRo0apOkSVUrxPSktL0dTUpLKykqNHj3Ly5EmmTp2Kg4MDVVVVyGQyamtrVRytoArSGjkIAr+tSixevJjk5GT8/f05fvw4hw4dQldXF1dXV5o1a8aDBw8YN26cJA6b6+jo0Lp1azZv3szJkyf/UMq2pqYGbW1tcnJylANHkOZqzO89evSIRo0acfz4cUJDQ5UJpY2NDfX19Xh6erJnzx709PRUHepzl5SUxOLFi0lPT2fQoEG0a9cO+K2E+r1795g4cSLDhw9nyZIlKo725VEkVCNHjiQ4OJhr165x8+ZNDhw4wIEDBzAzM8PFxQVnZ2dGjx6t3P4mZYqJpRYtWvDTTz+xZcsWli1bhkwmY/78+aoOT3jBYmJiaNeu3TMrT0eOHKF9+/YMGzZM+ZgUJiD/F3369OHDDz/ks88+4+jRo/j7+9O3b1/gyURdeno67777roqjFFRB2iMpQe0obvZpaWlcunSJ5cuX06VLF1avXs39+/fx8fFh9+7d/PTTTzg7O0vqDNHAgQOJj4/nvffeY8CAAXTs2BFnZ2csLS0xNDQkKyuLzz77jLy8POX2NnXYzmNlZUXbtm3Zvn07GRkZlJSUYGhoqOxwn5iYiIWFBTKZTHLnRbZu3YqWlhZr167Fz89P+bhitrWiooL6+nq2bNlCmzZtcHV1VVWoKuHv74+/vz+DBg2ivLyclJQULly4wLVr17h16xZXr15l8uTJqg7zpVAMkuVyOdra2owcORJNTU08PDxUHJnwMty+fRt9fX3Wr1+Pn58frVq1Ii4ujvfff1/Z9Ly+vl75/eqaVDVp0oTevXtz5MgROnbsyKxZs9DR0WHdunX88ssvNG7cmFatWqk6TEEFRNl0QVIUM++bNm3i4MGDbNu2DQ0NDVatWsWjR49YvHgx0dHRzJkzh0WLFkmuKWFWVhaLFy/mxIkT6Ovr4+DggKmpKcXFxeTm5qKtrc2CBQvo2LGjWnwgFhUVYW5uTn5+Pvv376dz584YGRkxcOBA3NzcsLCwIDIyknfeeYfRo0dLbsWuRYsWzJ49m969e/9lonj79m2GDRtGr169mDdvnlrNQD969Ijk5GS0tLSQyWR4eXkpKxxmZ2eTk5Oj7MUkCFKVl5fH7NmzKSoqoqioCE1NTUxMTEhKSmLChAl07twZDw8PyW+B/W9VVVWhq6vLmTNnmDJlCh07dmTixIlqNzElPCGdkYMg8NuKS1FRETY2NshkMnR1dbl+/bryDI23tzc+Pj5kZWWpMNIXo1GjRqxZs4aUlBSOHz9OfHw8+fn5uLm50bVrVzp27Pinh++lJiUlhY0bN5KWlsakSZPo0KEDY8aMUSZMEyZMIDw8nISEBCZMmMCAAQMAaTU4vnPnDrq6uri4uPzbVTfFayM5OZnCwkLJlQj/K5cvX2bFihWkpKRQUVFBbW0ta9euxdjYGBcXF+zs7LCzs1N1mILwwllbW/Pjjz+Sn5/P9evXuXz5MklJSTg5ObF//35ls1ovLy+aNGlCs2bN1PJc3aNHjzh48CAymYzg4GBln7bQ0FASEhKQyWRqMxkl/JFIqARJUdzMWrVqxcaNGwkPD2fEiBHcvXtX2dFcR0eHrKwsTE1NVRnqC+Xp6Ymnp6fyvysqKtSitxDA+fPnWbFiBRkZGbz++uvKbvUpKSls3ryZuLg4fH19GTNmDB07dkQmkylXpaT0Yfj48WMsLS3Jzc0Fflu9/T25XI6/vz9xcXGST6aeru73ySefYGBgwKJFi7C0tGTIkCEYGxuze/dubt68yebNmzEzM1N1yILw0lhaWtKhQwc6dOgAPKnwd/XqVa5cucKtW7c4ffo0u3btYtiwYcycOVO1wb4kintGUVERs2fPJiYmBj09PSorK7G3tycwMJAOHTrg5+dHfn4+fn5+yi2SgnoRCZUgSc2aNWPo0KHcvXsXAA8PDw4dOoSnpydxcXHk5eURGhqq4ihfHn19fbXZyrVhwwYaNGjA6tWrlY16b926xbx580hMTKRNmzaUlJSwaNEiLCwsCA4OVnHEL4aXlxc1NTVERUXx+uuvK5Opp3d5a2hoUFNTQ2pqquSTKXhyBkRTU5OIiAiqqqpYs2YNTk5OxMTEYGxsjKurK6+//jq//vor586do3v37qoOWRBUxtHREUdHR3r16kVtbS2pqamcO3eO5s2bqzq0l0Zxzzh27BjXrl1j/vz52NjYsHbtWnR0dLhx4waHDh0Cnqz0nTp1SsURC6oiEipBUhRJg66uLnPmzFHOzr/55ptMmTKFcePGUVFRQc+ePdVu9lkdkqnq6mri4+P57rvvlCtTAGvWrCExMZGFCxfSuXNnAIYNG8aBAwdo3ry5JK+NtrY2ffr04ZtvvsHX15d+/fqhr6//h+d68eJFYmNjGTRokIoifXkUzz0pKQkPDw8sLS0BiIiIwN/fH3Nzc0JCQggKCiIxMVEkVILw/2lpaeHt7Y23t7eqQ1GJY8eO0bFjR4YMGUJeXh5mZmZ06tSJDh068N5776Gtra02q3bCn5NOOStB4MmAqb6+nsOHD7Nw4ULlAKp169Zs3LiRgQMHsmDBAubOnaviSIUX4cKFCzRo0OCZc0NJSUkcP36cZs2a0a9fP4yMjDAyMmLw4MGkpaVRWlqq4qhfnEGDBtG5c2cWLVrEtGnT2LFjB/Hx8aSnp1NaWsqRI0eYMWMGDRs2fKY3lVQpXhPe3t5cunSJlJQUAM6ePauszFVdXU1mZiZOTk4qi1MQhH8Gxcp+fn6+slehXC7nxo0b+Pj4YGtry5AhQ9DQ0JBU1WDhvydWqARJqamp4fPPP2ffvn2EhIRgbGwMQGZmJpGRkYwaNQobGxsVRym8KEVFRZiZmVFWVgZAbm4umzdvxtjYmJEjRwJPtnAoEu38/Hzla0SKjI2N+eCDDzAxMSE8PJyYmBgMDQ0xMjKioKAAeFIJcM6cOVhZWak42hdLLpcjl8uRyWR07dqVrVu3smrVKoYPH05ubi5du3alqqqK8PBwysrK6NSpk6pDFgThH6C0tBQXFxcOHz5M9+7dqaiooLCwEHd3d+RyOe7u7jx48EBtzikLf06sUAmSoOiPcfr0ac6cOcPixYtZuXLlMze46OhoPv74Y6qrq1UVpvCCtWjRgvz8fPbu3UtlZSU7d+7kwIED9OvXT9nUViaTUV5eTnx8vLLioZQ729vY2DB37lzi4+P5/vvvGTZsGM2bN2fatGls2LCBlStX4uDggNQ7aGhoaChXqKysrJg7dy6FhYV8+OGHyOVyZs2axfjx49m0aZOYeBEEQXlPNDIyonPnzly7do2LFy9SVlaGiYkJycnJAMTHx6OhoUGDBg1UGa6gYqIPlSAJigpm8+bNIy8vj6+//hpdXd1nKpsdO3aMRYsW8cknn4jZZ4mSy+Vs3ryZH3/8kZqaGh49ekRAQADffPPNMyswhw4dYtWqVcyePZuwsLC/rIAnSMOePXuwtrZWNvNWVOEqLCwkMjKSpKQksrOz0dPTo2/fvpLrTycIwt+TlJSEra0tRkZGREdH4+zsjIeHB4MHD6aoqAh/f3/Onz9Pnz59mDFjhqrDFVRIbPkTJEExGNbT06OiouIPjwO0adMGKysrSfafEp7Q0NBg6NChGBoakpKSgpubG506dcLKyorq6mrOnDlDamoq33//PR06dKBt27aAtPpPCc8qLCzk448/xsDAABcXF/z9/fH29sbFxQVXV1cGDhyoNhUwBUH4z2RnZ7No0SLOnz/Pm2++yaRJk545Z7po0SLWr1/PpUuXGDJkCMOHD1dhtMI/gVihEiTlzJkzjB07lkmTJjFo0CAsLS2V23zi4+OZMGECW7Zswc/PT8WRCi/bqVOnGD9+PHp6erRv355PP/1ULUqFC0/66Zw9e5YTJ05w+fJlysvLMTMzw93dncDAQLy9vWnUqBG2traSP0smCMK/l5SUxOLFi0lPT6dPnz507twZf39/5U6Ge/fuMW7cOIYPH86bb76p6nCFfwiRUAmSUlVVxaJFi9ixYwchISG0bdsWW1tbbt++zZEjR3BycuKHH35QdZiCCjx+/JjExET09fXx9fUVzRfV2PXr14mIiCAuLo7r16+jo6ODl5cXlpaWtG/fnv79+6s6REEQVGT27Nnk5uYybdq0P518TUlJYdKkScjlctatW4erq6sKohT+aURCJUhGfX29cjXqyJEjhIeHk5SUxKNHj7CwsKBjx4688847ODg4qDhSQRBeJrlcriw8oq2t/czXEhMT+eSTT5QHzCdOnMiUKVNeeoyCIPwztGjRgtmzZ9O7d2/lmOL3bt++zbBhw+jVqxfz5s0T24YFcYZKkA6ZTEZWVhZ2dnZ0796d7t27k5OTg4aGBuXl5Tg4OKClJV7ygqCOnk6kYmNjOX/+PMeOHeP+/ftYWFjQqVMnWrVqRc+ePVUYpSAIqnTnzh10dXWf6WX4Z9zc3OjatSvJyckUFhaK7eOCSKiEV5tiVqi0tJQtW7awYcMG3n//fUaNGkVaWhrx8fFYWFioRdNSQRD+XG1tLbGxsSQmJnLgwAGys7PR0tLCz8+P8ePH4+Pjg5eXl6rDFARBxR4/foylpSW5ubkAf1kBVi6X4+/vT1xcnEimBEAkVMIrrr6+Hk1NTfbv38+uXbsYMGAAQ4YMISkpicmTJ3P//n0ARo4cyccffyyW5AVBjdy8eZO9e/dy4cIFcnNzqaioICQkhLfffpvmzZvj5uam/N7a2lqxgi0Ias7Ly4uamhqioqJ4/fXXlcnU06djNDQ0qKmpITU1VSRTgpL49BAkYf/+/fTo0YMPP/yQmpoaVq5ciVwuJzw8nIsXL7Jjxw7S09PF4VFBUCN9+/ZV/v+wsDBmzJiBk5PTM99TX19PXV2dSKYEQUBbW5s+ffrwzTff4OvrS79+/dDX1//DZOzFixeJjY1l0KBBKopU+KcRnyDCK00xe/Tw4UPc3d3R0NBg7969nD17lhUrVuDn54ehoSE//PADOTk5IqESBDXx8OFD2rZtS0FBAcXFxdy/f58PP/wQd3d3fHx8CAwMxMPDA21t7X97VkIQBPUyaNAgUlJSWLRoEadPn6ZDhw64uLhgaWmJtbU1p06dYuHChfj6+orjBIKSqPInvPLKy8v55JNPqKmp4Z133uHdd9/FysqK8PBwAK5evcrIkSM5e/YsxsbGKo5WEISXqaCggMTERC5dukRycjJZWVlUVFSgq6uLra0tnp6eNGnShGbNmokKoIIgAJCbm8uGDRsIDw+nqqoKQ0NDjIyMKCgoAJ5UApw/f764ZwhKIqESJCEyMpIZM2ZQXl6Oi4sLS5Yswc/Pj1u3brF48WIqKyv5+eefVR2mIAgqdvfuXRITE7ly5Qq3bt0iPz+f7Oxshg0bxsyZM1UdniAI/yBVVVXExsZy8eJFHjx4gI+Pj/J/pqamoly6oCQSKkEy7t27R15eHnZ2dtjb27Nq1SrWrVtHQEAAU6dOpWXLlqoOURCEf5Da2lpSU1M5d+4czZs3p2nTpqoOSRAEQXgFiYRKkISHDx9SXV2NlpYWRkZGGBoacubMGUpLS/Hz88Pe3l7VIQqCIAiCIAgSJIpSCK8kxTJ7VVUVv/76K5s3byY5ORkdHR2cnZ3p1q0bI0eOxMjISNWhCoIgCIIgCBImVqiEV5Ki2d6mTZvYunUrzs7OhIWFoaWlRUJCAsePH8fV1ZVVq1b9oUyyIAiCIAiCIDwvIqESXkmKFar27dvTu3dvPvjgA+BJT5ny8nLOnTvHhx9+yMiRI5kxY4aKoxUEQRAEQRCkSjTfEF5JGhoa5ObmUltby+uvv67sYi6TyTAyMqJz586MHDmSixcvUlxcrNpgBUEQBEEQBMkSCZXwynr8+DFmZmYkJCQoy5bW1tZSV1eHXC7H2dmZrKwszMzMVBuoIAiCIAiCIFkioRJeOXK5nLq6Otzc3HB2dubnn3/m6tWrAGhpaaGpqcndu3eJiYmhSZMmKo5WEARBEARBkDJxhkp4pSUlJTF79mwyMzNp2rQpLi4uWFhYcPToUWpqapg3bx5t2rRRdZiCIAiCIAiCRImESnhl3Lt3jytXruDp6UnDhg0xNjYGICMjg927d5OQkEBBQQGVlZU0bNiQzz77DG9vbxVHLQiCIAiCIEiZSKiEV8aCBQv45ZdfCAoKwtbWFg8PDzw8PPDy8sLCwoKqqipyc3MxMDDA0tJS1eEKgiAIgiAIakA09hVeGTk5OVRVVXHu3Dn09fXZs2cP2trauLq6EhAQQGBgIJ6enhgYGFBbW4uWlnh5C4IgCIIgCC+WWKESXhklJSXs27eP2NhYfH196dSpE/fu3WPfvn3ExcVRXl6Oqakpvr6+ODs7884772BlZaXqsAVBEARBEAQJEwmV8Eqpr6/n0KFDfP/991RXVzNjxgy6dOkCQGJiItHR0Zw6dYobN25w5coV9PT0VByxIAiCIAiCIGUioRJeSfX19WzcuJETJ04QFBTEe++9h4GBgfLrdXV1aGpqqjBCQRAEQRAEQR2IhEp4pdTX11NfX4+Wlhbl5eUcP36cNWvWUF9fz5gxY+jTpw+GhoaqDlMQBEEQBEFQEyKhEiRhw4YNxMXFERQURP/+/bG2tlZ1SIIgCIIgCIIaEAmV8I9XVlaGoaEhjx8/5t69exgaGqKvr09KSgqlpaU0aNCAO3fusHPnTpKSkvDx8WHPnj2qDlsQBEEQBEFQA6KutPCP98UXXxAdHY2VlRWGhoZkZmZSUFCApaUlmpqa5OXlYWNjg5eXFxoaGjg7O6s6ZEEQBEEQBEFNiBUq4R/P19eX2tpaZdIUFhZGs2bNqKioQFdXF3t7e4qLiykrK8PV1RWZTKbqkAVBEARBEAQ1IRIq4R8tLy+Pjz/+mKKiIurq6pDJZOjo6ODl5UXz5s3x8PDA2dkZHR0dVYcqCIIgCIIgqCGRUAmvhPz8fK5evcqVK1e4efMmWVlZlJWVoa+vj52dHe7u7vj6+hIUFISDg4OqwxUEQRAEQRDUhEiohFfS3bt3SUxM5MqVK9y6dYv8/Hyys7MZNmwYM2fOVHV4giAIgiAIgpoQCZXwyqutrSU1NZVz587RvHlzmjZtquqQBEEQBEEQBDUhEipBEARBEARBEIS/SZRDEwRBEARBEARB+JtEQiUIgiAIgiAIgvA3iYRKEARBEARBEAThbxIJlSAIgiAIgiAIwt8kEipBEAThH2vkyJF06tTpb/1saWkphYWFzzkiQRAEQXiWSKgEQRCEf6x33nmHjz/++L/+uevXr9OtWzdSU1NfQFSCIAiC8BstVQcgCIIgCH+lTZs2f+vnbt26RV5e3nOORhAEQRD+SKxQCYIgCIIgCIIg/E0ioRIEQRD+lk8//RQfH58/nFMqLy8nICCA2bNnI5fL2b59OwMGDCAwMBA/Pz+6du3K+vXrebqvfKdOnZg7dy4ff/wx/v7+tGvXjsLCwj89Q3X79m3ee+89mjdvTtOmTRkyZAinT59Wfv2bb75h9uzZALz55pt06tSJ06dP4+npybZt2/7wPKZNm0ZoaCh1dXXP8/IIgiAIakIkVIIgCMLf0qtXL+rq6jh27Ngzj8fExFBRUUHv3r356quvmD9/Pm5ubsyePZvp06ejq6vLihUr+Pnnn5/5ucOHD5OSksLHH3/MoEGDsLCw+MPvTElJYfDgwdy+fZsJEyYwbdo0amtrGT9+PEeOHAHg9ddfZ/DgwcBvZ7Bat25NgwYNOHr06DP/Xnl5OdHR0XTt2hVNTc3neXkEQRAENSHOUAmCIAh/S1BQEPb29hw9epShQ4cqHz9y5AjW1tYEBQUxadIkevToweLFi5VfHzhwIK1ateL06dMMHz5c+XhlZSXfffcdNjY2f/k7v/jiCywsLNi7dy8GBgYAjBgxgrfeeosvv/ySsLAwvLy8CAgIYOfOnbRu3ZoWLVoA0L17d7Zt28bDhw+xsrICICoqioqKCnr16vVcr40gCIKgPsQKlSAIgvC3aGho0LNnTxISEigoKACelCo/deoUPXr0QEdHh3PnzvH5558/83NFRUUYGRlRXl7+zOOOjo7/NpkqKioiPj6e9u3bU1lZSWFhIYWFhZSUlPD666+Tn5/PtWvX/vLne/bsSX19/TMraocPH8bBwYGmTZv+nUsgCIIgCGKFShAEQfj7evXqxbp16zh+/DhDhw7lxIkTVFVV0bNnTwC0tbWJiYkhMjKSjIwM7t69y6NHjwCeOUMF0KBBg3/7uzIzMwHYunUrW7du/dPvyc7O/sufDwgIwNHRkaNHjzJixAgeP37M6dOnGTNmzH/8fAVBEATh90RCJQiCIPxt7u7ueHp68uuvvzJ06FB+/fVXGjdujK+vL3K5nIkTJxIdHU1QUBCBgYEMHjyY4OBg3nrrrT/8W//XGSZF0Yjhw4cTFhb2p9/j5ub2b/+NHj16sG7dOvLy8jhz5gw1NTXK5E8QBEEQ/g6RUAmCIAj/k169erFq1SoyMzM5e/Ys7777LgAXLlwgOjqaiRMn8v777yu/v7a2luLiYhwcHP6r32Nvbw88Sbxat279zNdu375NVlYW+vr6/2esa9euJSYmhpMnT+Lp6Ym7u/t/FYcgCIIgPE2coRIEQRD+J4qzSV9++SU1NTXKAg/FxcXAH1eNdu3aRUVFBbW1tf/V77G2tsbX15e9e/eSm5urfLympoaPP/6YKVOmKP9NmezJx1t9ff0z/4arqys+Pj6cOHGC2NhYsTolCIIg/M/ECpUgCILwP7GzsyM4OJjo6GjlOSWAwMBAjIyMWLRoEffv38fU1JS4uDiOHDmCrq4uZWVl//Xvmjt3Lm+99Rb9+/dn6NChmJmZcfjwYa5evcoHH3yAubk5gLLk+vbt28nPz3+mil/Pnj1ZunQpGhoa9OjR4zlcAUEQBEGdiRUqQRAE4X+mSFieXvGxtLRk/fr1ODg4sHbtWlauXMmDBw9YuXIlw4YN4/bt2+Tn5/9XvycwMJDt27fj6+vLpk2bWLZsGRUVFSxevJjx48crv69Vq1Z069aNkydPsmDBAqqqqpRf69mzJzKZjICAAOU2QkEQBEH4uzTkvy+zJAiCIAgSlpeXR/v27Zk3bx7Dhg1TdTiCIAjCK06sUAmCIAhqZdeuXejo6IjtfoIgCMJzIc5QCYIgCGphxYoVpKamcvLkSYYPH46pqamqQxIEQRAkQKxQCYIgCGqhvLyc8+fPExYWxvTp01UdjiAIgiAR4gyVIAiCIAiCIAjC3yRWqARBEARBEARBEP4mkVAJgiAIgiAIgiD8TSKhEgRBEARBEARB+JtEQiUIgiAIgiAIgvA3iYRKEARBEARBEAThbxIJlSAIgiAIgiAIwt/0/wD6ODgxiXWJrAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_grapes(plot_ita_high, 10,'darkgrid')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 331,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/moebius/.local/lib/python3.8/site-packages/pandas/core/generic.py:5494: 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: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  self[name] = value\n",
      "/home/moebius/.local/lib/python3.8/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_grapes(plot_ita_middle, 10,'darkgrid')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 332,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/moebius/.local/lib/python3.8/site-packages/pandas/core/generic.py:5494: 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: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  self[name] = value\n",
      "/home/moebius/.local/lib/python3.8/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_grapes(plot_ita_low, 10,'darkgrid')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}