Airline_Passenger_model.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Airline Passenger Web App Training"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Context: \n",
    "US Airline Passeneger Satisfaction survey "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Attribute Information:\n",
    "\n",
    "\"Satisfaction: Airline satisfaction level(Satisfaction, neutral or dissatisfaction)\"\n",
    "\n",
    "Age: The actual age of the passengers\n",
    "\n",
    "Gender: Gender of the passengers (Female, Male)\n",
    "\n",
    "\"Type of Travel: Purpose of the flight of the passengers (Personal Travel, Business Travel)\"\n",
    "\n",
    "\"Class: Travel class in the plane of the passengers (Business, Eco, Eco Plus)\"\n",
    "\n",
    "Customer Type: The customer type (Loyal customer, disloyal customer)\n",
    "\n",
    "Flight distance: The flight distance of this journey\n",
    "\n",
    "\"Inflight wifi service: Satisfaction level of the inflight wifi service (0:Not Applicable;1-5)\"\n",
    "\n",
    "Ease of Online booking: Satisfaction level of online booking\n",
    "\n",
    "Inflight service: Satisfaction level of inflight service\n",
    "\n",
    "Online boarding: Satisfaction level of online boarding\n",
    "\n",
    "Inflight entertainment: Satisfaction level of inflight entertainment\n",
    "\n",
    "Food and drink: Satisfaction level of Food and drink\n",
    "\n",
    "Seat comfort: Satisfaction level of Seat comfort\n",
    "\n",
    "On-board service: Satisfaction level of On-board service\n",
    "\n",
    "Leg room service: Satisfaction level of Leg room service\n",
    "\n",
    "Departure/Arrival time convenient: Satisfaction level of Departure/Arrival time convenient\n",
    "\n",
    "Baggage handling: Satisfaction level of baggage handling\n",
    "\n",
    "Gate location: Satisfaction level of Gate location\n",
    "\n",
    "Cleanliness: Satisfaction level of Cleanliness\n",
    "\n",
    "Check-in service: Satisfaction level of Check-in service\n",
    "\n",
    "Departure Delay in Minutes: Minutes delayed when departure\n",
    "\n",
    "Arrival Delay in Minutes: Minutes delayed when Arrival\n",
    "\n",
    "Flight cancelled: Whether the Flight cancelled or not (Yes, No)\n",
    "\n",
    "Flight time in minutes: Minutes of Flight takes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import libraries\n",
    "import pandas as pd \n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [],
   "source": [
    "# data source\n",
    "airline = pd.read_excel(\"Data/satisfaction_2015.xlsx\")\n",
    "df = airline.copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Quick Exploratory Data Analysis (EDA)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(129880, 24)"
      ]
     },
     "execution_count": 185,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data frame shape\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 129880 entries, 0 to 129879\n",
      "Data columns (total 24 columns):\n",
      " #   Column                             Non-Null Count   Dtype  \n",
      "---  ------                             --------------   -----  \n",
      " 0   id                                 129880 non-null  int64  \n",
      " 1   satisfaction_v2                    129880 non-null  object \n",
      " 2   Gender                             129880 non-null  object \n",
      " 3   Customer Type                      129880 non-null  object \n",
      " 4   Age                                129880 non-null  int64  \n",
      " 5   Type of Travel                     129880 non-null  object \n",
      " 6   Class                              129880 non-null  object \n",
      " 7   Flight Distance                    129880 non-null  int64  \n",
      " 8   Inflight wifi service              129880 non-null  int64  \n",
      " 9   Departure/Arrival time convenient  129880 non-null  int64  \n",
      " 10  Ease of Online booking             129880 non-null  int64  \n",
      " 11  Gate location                      129880 non-null  int64  \n",
      " 12  Food and drink                     129880 non-null  int64  \n",
      " 13  Online boarding                    129880 non-null  int64  \n",
      " 14  Seat comfort                       129880 non-null  int64  \n",
      " 15  Inflight entertainment             129880 non-null  int64  \n",
      " 16  On-board service                   129880 non-null  int64  \n",
      " 17  Leg room service                   129880 non-null  int64  \n",
      " 18  Baggage handling                   129880 non-null  int64  \n",
      " 19  Checkin service                    129880 non-null  int64  \n",
      " 20  Inflight service                   129880 non-null  int64  \n",
      " 21  Cleanliness                        129880 non-null  int64  \n",
      " 22  Departure Delay in Minutes         129880 non-null  int64  \n",
      " 23  Arrival Delay in Minutes           129487 non-null  float64\n",
      "dtypes: float64(1), int64(18), object(5)\n",
      "memory usage: 23.8+ MB\n"
     ]
    }
   ],
   "source": [
    "# data frame info on data types other column info\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                                     0\n",
       "satisfaction_v2                        0\n",
       "Gender                                 0\n",
       "Customer Type                          0\n",
       "Age                                    0\n",
       "Type of Travel                         0\n",
       "Class                                  0\n",
       "Flight Distance                        0\n",
       "Inflight wifi service                  0\n",
       "Departure/Arrival time convenient      0\n",
       "Ease of Online booking                 0\n",
       "Gate location                          0\n",
       "Food and drink                         0\n",
       "Online boarding                        0\n",
       "Seat comfort                           0\n",
       "Inflight entertainment                 0\n",
       "On-board service                       0\n",
       "Leg room service                       0\n",
       "Baggage handling                       0\n",
       "Checkin service                        0\n",
       "Inflight service                       0\n",
       "Cleanliness                            0\n",
       "Departure Delay in Minutes             0\n",
       "Arrival Delay in Minutes             393\n",
       "dtype: int64"
      ]
     },
     "execution_count": 187,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check for null values\n",
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "metadata": {},
   "outputs": [],
   "source": [
    "# drop the null values at the row level\n",
    "df.dropna(axis = 0, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 189,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check if the null values were dropped\n",
    "df.isna().sum().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <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>id</th>\n",
       "      <td>129487.0</td>\n",
       "      <td>64958.335169</td>\n",
       "      <td>37489.781165</td>\n",
       "      <td>1.0</td>\n",
       "      <td>32494.5</td>\n",
       "      <td>64972.0</td>\n",
       "      <td>97415.5</td>\n",
       "      <td>129880.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Age</th>\n",
       "      <td>129487.0</td>\n",
       "      <td>39.428761</td>\n",
       "      <td>15.117597</td>\n",
       "      <td>7.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>85.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Flight Distance</th>\n",
       "      <td>129487.0</td>\n",
       "      <td>1190.210662</td>\n",
       "      <td>997.560954</td>\n",
       "      <td>31.0</td>\n",
       "      <td>414.0</td>\n",
       "      <td>844.0</td>\n",
       "      <td>1744.0</td>\n",
       "      <td>4983.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Inflight wifi service</th>\n",
       "      <td>129487.0</td>\n",
       "      <td>2.728544</td>\n",
       "      <td>1.329235</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Departure/Arrival time convenient</th>\n",
       "      <td>129487.0</td>\n",
       "      <td>3.057349</td>\n",
       "      <td>1.526787</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ease of Online booking</th>\n",
       "      <td>129487.0</td>\n",
       "      <td>2.756786</td>\n",
       "      <td>1.401662</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gate location</th>\n",
       "      <td>129487.0</td>\n",
       "      <td>2.976909</td>\n",
       "      <td>1.278506</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Food and drink</th>\n",
       "      <td>129487.0</td>\n",
       "      <td>3.204685</td>\n",
       "      <td>1.329905</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Online boarding</th>\n",
       "      <td>129487.0</td>\n",
       "      <td>3.252720</td>\n",
       "      <td>1.350651</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Seat comfort</th>\n",
       "      <td>129487.0</td>\n",
       "      <td>3.441589</td>\n",
       "      <td>1.319168</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Inflight entertainment</th>\n",
       "      <td>129487.0</td>\n",
       "      <td>3.358067</td>\n",
       "      <td>1.334149</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>On-board service</th>\n",
       "      <td>129487.0</td>\n",
       "      <td>3.383204</td>\n",
       "      <td>1.287032</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Leg room service</th>\n",
       "      <td>129487.0</td>\n",
       "      <td>3.351078</td>\n",
       "      <td>1.316132</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Baggage handling</th>\n",
       "      <td>129487.0</td>\n",
       "      <td>3.631886</td>\n",
       "      <td>1.180082</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Checkin service</th>\n",
       "      <td>129487.0</td>\n",
       "      <td>3.306239</td>\n",
       "      <td>1.266146</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Inflight service</th>\n",
       "      <td>129487.0</td>\n",
       "      <td>3.642373</td>\n",
       "      <td>1.176614</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cleanliness</th>\n",
       "      <td>129487.0</td>\n",
       "      <td>3.286222</td>\n",
       "      <td>1.313624</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Departure Delay in Minutes</th>\n",
       "      <td>129487.0</td>\n",
       "      <td>14.643385</td>\n",
       "      <td>37.932867</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>1592.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arrival Delay in Minutes</th>\n",
       "      <td>129487.0</td>\n",
       "      <td>15.091129</td>\n",
       "      <td>38.465650</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>1584.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "                                      count          mean           std   min  \\\n",
       "id                                 129487.0  64958.335169  37489.781165   1.0   \n",
       "Age                                129487.0     39.428761     15.117597   7.0   \n",
       "Flight Distance                    129487.0   1190.210662    997.560954  31.0   \n",
       "Inflight wifi service              129487.0      2.728544      1.329235   0.0   \n",
       "Departure/Arrival time convenient  129487.0      3.057349      1.526787   0.0   \n",
       "Ease of Online booking             129487.0      2.756786      1.401662   0.0   \n",
       "Gate location                      129487.0      2.976909      1.278506   0.0   \n",
       "Food and drink                     129487.0      3.204685      1.329905   0.0   \n",
       "Online boarding                    129487.0      3.252720      1.350651   0.0   \n",
       "Seat comfort                       129487.0      3.441589      1.319168   0.0   \n",
       "Inflight entertainment             129487.0      3.358067      1.334149   0.0   \n",
       "On-board service                   129487.0      3.383204      1.287032   0.0   \n",
       "Leg room service                   129487.0      3.351078      1.316132   0.0   \n",
       "Baggage handling                   129487.0      3.631886      1.180082   1.0   \n",
       "Checkin service                    129487.0      3.306239      1.266146   0.0   \n",
       "Inflight service                   129487.0      3.642373      1.176614   0.0   \n",
       "Cleanliness                        129487.0      3.286222      1.313624   0.0   \n",
       "Departure Delay in Minutes         129487.0     14.643385     37.932867   0.0   \n",
       "Arrival Delay in Minutes           129487.0     15.091129     38.465650   0.0   \n",
       "\n",
       "                                       25%      50%      75%       max  \n",
       "id                                 32494.5  64972.0  97415.5  129880.0  \n",
       "Age                                   27.0     40.0     51.0      85.0  \n",
       "Flight Distance                      414.0    844.0   1744.0    4983.0  \n",
       "Inflight wifi service                  2.0      3.0      4.0       5.0  \n",
       "Departure/Arrival time convenient      2.0      3.0      4.0       5.0  \n",
       "Ease of Online booking                 2.0      3.0      4.0       5.0  \n",
       "Gate location                          2.0      3.0      4.0       5.0  \n",
       "Food and drink                         2.0      3.0      4.0       5.0  \n",
       "Online boarding                        2.0      3.0      4.0       5.0  \n",
       "Seat comfort                           2.0      4.0      5.0       5.0  \n",
       "Inflight entertainment                 2.0      4.0      4.0       5.0  \n",
       "On-board service                       2.0      4.0      4.0       5.0  \n",
       "Leg room service                       2.0      4.0      4.0       5.0  \n",
       "Baggage handling                       3.0      4.0      5.0       5.0  \n",
       "Checkin service                        3.0      3.0      4.0       5.0  \n",
       "Inflight service                       3.0      4.0      5.0       5.0  \n",
       "Cleanliness                            2.0      3.0      4.0       5.0  \n",
       "Departure Delay in Minutes             0.0      0.0     12.0    1592.0  \n",
       "Arrival Delay in Minutes               0.0      0.0     13.0    1584.0  "
      ]
     },
     "execution_count": 190,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# statistical summary\n",
    "df.describe().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {},
   "outputs": [],
   "source": [
    "# drop the id column since it adds no value for our model training\n",
    "df.drop(['id'], axis = 1, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>satisfaction_v2</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Customer Type</th>\n",
       "      <th>Age</th>\n",
       "      <th>Type of Travel</th>\n",
       "      <th>Class</th>\n",
       "      <th>Flight Distance</th>\n",
       "      <th>Inflight wifi service</th>\n",
       "      <th>Departure/Arrival time convenient</th>\n",
       "      <th>Ease of Online booking</th>\n",
       "      <th>...</th>\n",
       "      <th>Seat comfort</th>\n",
       "      <th>Inflight entertainment</th>\n",
       "      <th>On-board service</th>\n",
       "      <th>Leg room service</th>\n",
       "      <th>Baggage handling</th>\n",
       "      <th>Checkin service</th>\n",
       "      <th>Inflight service</th>\n",
       "      <th>Cleanliness</th>\n",
       "      <th>Departure Delay in Minutes</th>\n",
       "      <th>Arrival Delay in Minutes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>satisfied</td>\n",
       "      <td>Male</td>\n",
       "      <td>disloyal Customer</td>\n",
       "      <td>56</td>\n",
       "      <td>Personal Travel</td>\n",
       "      <td>Eco</td>\n",
       "      <td>369</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>satisfied</td>\n",
       "      <td>Male</td>\n",
       "      <td>disloyal Customer</td>\n",
       "      <td>49</td>\n",
       "      <td>Personal Travel</td>\n",
       "      <td>Eco</td>\n",
       "      <td>2486</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>satisfied</td>\n",
       "      <td>Male</td>\n",
       "      <td>disloyal Customer</td>\n",
       "      <td>55</td>\n",
       "      <td>Personal Travel</td>\n",
       "      <td>Eco</td>\n",
       "      <td>1448</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>satisfied</td>\n",
       "      <td>Female</td>\n",
       "      <td>disloyal Customer</td>\n",
       "      <td>36</td>\n",
       "      <td>Personal Travel</td>\n",
       "      <td>Eco</td>\n",
       "      <td>1501</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>satisfied</td>\n",
       "      <td>Male</td>\n",
       "      <td>disloyal Customer</td>\n",
       "      <td>55</td>\n",
       "      <td>Personal Travel</td>\n",
       "      <td>Eco</td>\n",
       "      <td>577</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  satisfaction_v2  Gender      Customer Type  Age   Type of Travel Class  \\\n",
       "0       satisfied    Male  disloyal Customer   56  Personal Travel   Eco   \n",
       "1       satisfied    Male  disloyal Customer   49  Personal Travel   Eco   \n",
       "2       satisfied    Male  disloyal Customer   55  Personal Travel   Eco   \n",
       "3       satisfied  Female  disloyal Customer   36  Personal Travel   Eco   \n",
       "4       satisfied    Male  disloyal Customer   55  Personal Travel   Eco   \n",
       "\n",
       "   Flight Distance  Inflight wifi service  Departure/Arrival time convenient  \\\n",
       "0              369                      0                                  2   \n",
       "1             2486                      0                                  2   \n",
       "2             1448                      0                                  3   \n",
       "3             1501                      0                                  4   \n",
       "4              577                      0                                  5   \n",
       "\n",
       "   Ease of Online booking  ...  Seat comfort  Inflight entertainment  \\\n",
       "0                       0  ...             3                       3   \n",
       "1                       1  ...             3                       2   \n",
       "2                       0  ...             3                       3   \n",
       "3                       0  ...             4                       4   \n",
       "4                       0  ...             3                       3   \n",
       "\n",
       "   On-board service  Leg room service  Baggage handling  Checkin service  \\\n",
       "0                 1                 5                 3                3   \n",
       "1                 1                 1                 4                4   \n",
       "2                 3                 5                 3                2   \n",
       "3                 5                 4                 5                5   \n",
       "4                 3                 4                 5                3   \n",
       "\n",
       "   Inflight service  Cleanliness  Departure Delay in Minutes  \\\n",
       "0                 4            3                           0   \n",
       "1                 3            2                           0   \n",
       "2                 3            3                           0   \n",
       "3                 5            4                           0   \n",
       "4                 4            3                           0   \n",
       "\n",
       "   Arrival Delay in Minutes  \n",
       "0                       0.0  \n",
       "1                       0.0  \n",
       "2                       0.0  \n",
       "3                       0.0  \n",
       "4                       0.0  \n",
       "\n",
       "[5 rows x 23 columns]"
      ]
     },
     "execution_count": 192,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# first 5 observations\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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fbYLEpOXv7RFNLJg0aZLatAkTJjBx4sSfXvaVK1eoVauW2rS6desyaNCgH1qOfEuFEEIIIYQQQgghhEhnRo0axZAhQ9SmfW+0ZHK9e/eOHDlyqE3LkSMHnz59Ijg4GENDw2QtRzomhRBCCCGEEEIIIYRIZ5Jz2XZak45JIYQQQgghhBBCCCG0QZE+nzudM2dO3r9/rzbt/fv3ZMmSJdmjJUGeyi2EEEIIIYQQQgghhPgB5cuX5/Tp02rTTp48Sfny5X9oOdIxKYQQQgghhBBCCCGENigUaff6AUFBQbi7u+Pu7g6Al5cX7u7uvHjxAoi6X2XHjh1V5Xv16sWzZ88YPnw4Dx8+ZNmyZezYsYPBgwf/0HqlY1IIIYQQQgghhBBCiP9hN2/epHjx4hQvXhyAIUOGULx4ccaPHw/A27dvVZ2UADY2Nhw+fJiTJ09StGhR5s6dy5o1a6hbt+4PrVfuMSmEEEIIIYQQQgghxP+watWqoVQqE31/w4YNGuf5999/f2q90jEphBBCCCGEEEIIIYQ2pNOH36QU+XSEEEIIIYQQQgghhBCpTkZMCiGEEEIIIYQQQgihDT/4EJr/NTJiUgghhBBCCCGEEEIIkeqkY1KINHTlyhV0dXVp2LBhWlflh1QsYceuBS48OzGV4H+X0Lhake/OU7mkA5fdRhBwbT739k+gQ+OyCcq4tK7Cw8OT8L86nwsbh1GqoJU2qq/R4T3b6da6Ac1rlWWoyx88enAv0bLPvZ4ybexQurVuQOMqxdm/Y8tPLzMl7dmxlVaN61CzQgl6dmrLg3t3kyx/9tRx2rdoTM0KJejUphlX/r6gei88PIzli+bRqU0zalcqTdN61flr/Ch8Pn7Qdhgqe3du5femdalTuSS9u7bD437S8Zw7fZyOrRtTp3JJurZrxtVLFxItO2/GZKqXLcyurZtSutqJ2rNjK61/q0OtiiVw6dyWB9+J5+yp43Ro2ZhaFUvQ6fdmXLkULz+L59Hp92bUqVyaZvWrM3VC6uZHqVSyevliGtepSrXyJRjQqxsvXzz/7ny7t7vRvGFtqpUrTveOv/Pg3h2190NDQ5kzfQr1qlegZsVSjB42ED9fH22FAcDeHVtp81sdalcsQa/Obb+7rZ09dZw/WjamdsUSdP5dfVsLDw9jxeJ5dP69GXUrl6Z5GuTm1KGdDO3SlO5NKzN5cFeeed5PtOy5Y/uYNrwnfVrXok/rWswa3S9B+ZuXzjJ7bH/6/l6bzg3L8vzpI22HoHJ8/w76dWhMhwYVGNO/E08eJr4/fen9lLmT/qRfh8a0qV2Kw3vcNJbz8/nA4hnj6Na8Jh0aVmRYjzY89XygrRDUHNi9jY4t6tO4emkG9miP54Okt7ULZ07QvW0TGlcvTa8/WnD98kW19+tVLKrxtXPLBi1GEWv/rm10aFaPBlVL0b9bOx5+57tz/vQJurb5jQZVS9GjfXOuxYsH4Ln3M8b92Z8mtSrQuHoZ+nZty4d3b7UVgkp6O+YolUqWLVlE7WqVKVeyKC7du/D8ufd359u+dQsN6tSgbIki/NG2Nffuqu+ju3f+g+KFnNVef02aoKUoYu3duZU2TepSu1JJendJRn5OHeePVo2pXakkXdomzM/6Vcv4o1Vj6lUpQ6OaFRjSt3uC45E2ReVnIbWqVaJsySK4dO+crPxs27qF+nVqUKZEYTq0bcXdePnp1vkPihVyUnv9NWm8lqKIsn/XNto3q0f9qqXol8z9QJc2v1G/aim6a9gPzJoyllrli6i9Rg7qpc0Q1CiVSlYtW0zD2lWoWq44/Vy68iIZudm13Y2mDWpRpWwxuv7Rhvvxtqd9u3fQu3snalQqTbniBfj8+ZOWIlCX3uL55Sh00u71C/g1ailEOrV27Vr69+/PhQsXePPmTVpXJ9mMDPW5++g1g6ZvT1Z5q9zm7F3ciws3H1H29xkscTvL8vHtqFU+v6pMyzolmDm0GVNXHqV8u5ncefSaA8v6ks3UWFthqFw8fZw1S+fStrMLC9a4YWPvyPhhfQjw99NYPjQkhJy589LJZQCmZhYpssyUcvrEUZbMn0XnHr1Zs3kn9o5ODO3vgr+fr8byd2//y6Qxw2nYpBlrt+ykcrUajB42gGdPHgMQEhLCo4cP6NTdhbWbdzB19gJePPdm5JB+Wo0jxpmTx1i+cDaduvVilesO7OwdGT4w8Xju3XFnyrgRNGjcnNUbd1KpSg3GDR+I19PHCcpePHeaB/fuYJEtu7bDUDl94ihLF8yic/ferNm0E3sHJ4Z9Jz+Tx0blZ83mnVSuWoMx8fLz+OEDOnVzYc2mHfw1Kyo/o4amTn4ANruuZefWLfw5egJrXLdiYGjI4L49CQ0NTXSeU8ePsmjeLLr27MN6t6jPYXBfF/zifA6L5s7k0sVz/DVzHktXu/Lx40dGDRuotTjOROemU/ferN60E7vv5Obe7X+ZMnY4DZo0Y3UiuXn08AEdu7mwetMOpsxawMvn3oxOpdxcu3CSbasX0rRdNyYtcsXSxp454wbyKUDzPujh3VuUrVKHEdOXMXbuGsyyZWf2uAH4+8R2pIaGBuNYoCitu6Te9gVw+dwJNq6cT4sOPZixfDNWto5MG9WfwMT20aEh5MiVl7bd+mFiZq6xTNDnT4wf1A1d3QyMmraQeWt28IfLYIwyZ9FmKACcP3WM1Yvn0KGrC0vWbcPW3okxQ3oT4K95W3tw150ZE0dSt1Ezlq7fTvnK1Zk8ahDez2L3a24HTqu9hoyehEKhoFK1WlqP59ypY6xcNJsO3XqxfMN2bB2cGDW4V6Lfnft33Jk2YQT1GjdjuesOKlapwcQR6vvpN69eMtilE/msbJi7dC0rN+2mfZee6GXMqNVY0tsxB2DDujVs3bKJ0eMnstFtB4aGhvR16Z7kPvr40SPMnTUDl959cdu5B0cnJ/q4dMfPV/1zaN6yFSfPXVS9Bg39U6uxnDl5jGULZtO5ey9Wb9yBnYMjfw5IOj+Tx42g4W/NWbNpJ5Wq1mDsnwN5Fic/lvmsGPjnaNZt3c3iVRvJmSsPf/Z30Xp7LcaGdatx27KJMeMnsik6P31cuiUjP9Nx6d2XrTv34ujkTB+Xbhry05pT5/5WvQYNHa61OM6eOsaKRbP5o1svVkTvB0Z+Zz8wNXo/sCJ6PzBhRMLvTulyFdlx6IzqNWbyLK3FEN+mDWvZsXUzI0ZPYM3GbRgaGjLoO+2bk8ePsnDuTLq79MHVbRcOjs4M6tNTrX0TEhJC+QqV6Ny1Z2qEoZLe4hHpi3RMCpFGgoKC2L59O71796Zhw4Zs2LBB7f0DBw7g4OCAgYEB1atXx9XVFYVCQUBAgKrM33//TeXKlTE0NMTS0pIBAwbw5csXrdf9xKUHTFp2iANnk3dGuUfLSni/9mXkvL14er1nxfYL7D3tTv/21VVlBnSowfo9l9l04CoPn72j/9RtBId8o1PT8toKQ2Xfjs3UbdScWg2akM/ajj5Dx6BvYMDJw/s0lnfMX5CufQZTpWY99DLqpcgyU8r2LRtp3LQlDX9rho2tHcNGjcfAwIDDB/ZqLL9r22bKlK9Iu45dsbaxo3vv/jg6F2DPjqgRRsbGmZm/bA01atcjn7UNBQsXZfDw0Xh6POB9Koxc2bl1Iw2btKB+42ZY29oxZOR4DAwMOXpQczy7t2+mTLmK/P5HF6xsbOnaqz8OTgXYu3OrWrmPH96zaM40xkyegW6G1Lvd8g63jTRq2pIGv0XFMzSZ+Wn7R7z87IzNz7yl6vkZ9Gfq5UepVLLDbROdu7tQpVoN7B2dGD95Oj4fP3Dh3OlE59u2xZXfmrWkUZNm2NjaM3zMBPQNDDi0fw8AQZ8/c3DfbvoPGU6pMuVwLlCQMRP/4u5td+7dua2VWBLLzZFk5qZbdG72JpGbgamYm+N7t1K1XhMq125Mnny2dOo3kowGBlw4cVBj+V5/TqZmo5ZY2TmS29KargPGoIyM5MHtm6oyFWs0oEm77hQoVlrr9Y/r8O4t1KzflOr1fiOvlS3dB44io74BZ48f0Fje3qkgHXoOpGL1uujpae7IOrDdFfNsOejz5wTsnQuRPVceipYqR87cebUZCgB7tm+iXuPm1GnYFCsbO/r/ORZ9fQOOH9qnsfy+HVsoVbYCrdp3Jp+1LZ169sPeMT8Hdm1TlTEzt1B7Xbl4jqIlSpMrj/bj2b11I/V/a0G9RlHxDBw+Dn19w0Tj2btjC6XLVqR1hy5YWdvS2aUf9k752R8nnvUrF1OmQmV69BuCvVN+cue1pELl6pgm0tGcUtLbMUepVOK2aSM9evaieo2aODo5MWXaTD5++MDZ06cSnW/zxg00b9mKJs1aYGdnz5jxkzAwMGDf3t1q5QwMDLGwyKZ6GRtr92TyTreNNGyaMD9HEsvPNvX8dOvVHwfnAuzdEZufWvUaUqpMeXLnscTGzp6+g/7ky5cgnj7W/ohwpVLJlk0b6dGzN9Vr1MLRyZkp02Z9Nz+bNq6necvWNI3Oz9hE82OQavnZvXUjDeLsBwZF7weOJbIf2BO9H2gTvR/oomE/AKCXMaPavi1zFu2fPIKo3Gx320iXHi5UqV4TB0cnJkyZEdW+OZt4+2br5g00ad6KRk2aY2Nnz4gxEzAwMODQvj2qMr+370jHrj0oWKRoaoQCpL94RPojHZNCpJEdO3bg7OyMk5MTHTp0YN26dSiVSgC8vLxo2bIlTZs25fbt27i4uDBmzBi1+Z8+fUq9evVo0aIFd+7cYfv27fz999/065e6I1mSo2xRG85e81SbdvKyB2WL2ACgl0GX4vktOROnjFKp5Mw1T8pEl9GWsLAwnjzyoGip2EvLdXR0KFayLJ73/9ulPNpYZnLX++jhA0qWLae23lJlynE/kc6ce3duU6qMeudvmfIVuHc38c6fL0FBKBQKjI0zp0zFE6GKp4x6PCVKl+N+IvV7cPc2JUuXU5tWulwFtfKRkZFMnziaNh26YGNrr53KaxATT6l48ZQsk3g89+/epmTpePmJF098qZUfgDevX+Hr40OpONuccebMFChUJNEOxLCwb3h6PKBU2di4dHR0KF22nGqehx73CQ8Pp3ScMtY2tuTImYt7d9xTPI7EtrUfzU38bS2+1MpNeFgY3k8eUqBYGdU0HR0dChYrzdOHSV9aFyM0NISIiIhUGUGYlPCwMJ49ekjhEur708IlyvD4wX/fn968cgFbx/zMmzyCHq1qM6JXO04f0dy5kZLCwsJ47OlB8dLq21rxUuXwSOTyUY/7dyheSn2/VrJsBTwSOZ74+/ly/fJF6jZqlnIVT0RYWBiPPD0oUTr+frosD+4lsp++d5sSpdVv51KqbAU8ostHRkZy7fIF8lpaMXJQL1o1qEr/bu24dP6M9gIh/R1zAF6/eoWPz0fKlq+gmpY5c2YKFSnCndvuGucJC/uGx4P7lC0XO4+Ojg5ly5VPMM+RwwepXqkcLZs2ZtH8uQQHB2sjjOh6heH58IHa562jo0PJ0uV4kNR+uox6fsqUq5Bo+bCwMA7u24WRcWbsHJ1SrvKJSCw/hYsU5fbtfxOpY2L5qcCdePMcPXyQapXK0qJpI63mJ6X2A6XLVkhQ/vatm7RsUJXObRqzYNYUAgMDUrz+msS0b+K2Q4wzZ6ZgoSLcTaQdEtO+KR2vHV66bPlE50kt6S2eX5JCkXavX4A8lVuINLJ27Vo6dOgAQL169QgMDOT8+fNUq1aNlStX4uTkxOzZswFwcnLi3r17TJ06VTX/9OnTad++PYMGDQLAwcGBRYsWUbVqVZYvX46BgUGqx5SYHOZZeO/3WW3aB79PZM1siIG+HqZZMpEhgy4f4pfx/YSTdQ6t1u1ToD+RERGYmpqpTTcxM+fVC+//N8tMjsAAfyIiIjCLN6LE1Myc595eGufx8/VJUN7MzCLRe/mFhoayfPF8atVtgJGWR0YEBkR/jhriefE88Xg0lfePE8/WjevQ1dWlRZv2KV/pJMTkJ379zMzMeZFUfszjx5N0flYsmU/NOtrPT0z9IGqbicvM3Bw/H811DAgI0LidmsXZTv18fdDT0yNzvE4xM3NzfLVwn8nEcmP6ndyY/mBuVqZSbj5/CiAyMoKsJur7oCwmZrx9+f37fwLsXL8UEzOLVB8dGd+nwOhY4u1Ps5qa8eal939e7oe3rzl5cDcNW7SnWbsuPPV8wPqlc8iQQY+qdRr9ZK0T9yl6vxb/EnMTM3NevtC8rfn7+mgs75/Itnbq6AEMM2WiYtWaKVPpJCS1n36ZyH5aUzymZuaq706Avx/BX7+yfdNaOvfsT/c+g7h59RKTRg1m9pK1FC1RKtVj+RWPOQA+Ph8BEhxHzM0t8E1kH+3vH92W0DCPt1fs51C/YSNy5c5NtmzZefzoEQvnz+G5tzdzFy5O4SiixORHUxsnqfxoKu/npx775YvnmTz2T0JDQjC3yMbcJaswMTFN2QA0iMmPebzP2szc/Lv5iT+Pubk53l7PVP/Xb9iI3NH5efTIk4Xz5+Dt7cW8hUtSOIr/vh+IX94kzn4Aoi7jrlStJjlz5eHt61esXbGI0YP7sGj1JnR1dVM8jrhiPn9N7ZvE2iEB/jHtG/V5TM3N8fZ+pnGe1JLe4hHpj3RMCpEGPD09uX79Onv3Ro3OyJAhA23atGHt2rVUq1YNT09PSpdW/zFYpkwZtf9v377NnTt32LIl9sErSqWSyMhIvLy8yJ8/P5qEhoYmuJeIMjIChY52D/Di1xceHsaEkUNRKpUMHTkuravzn3h63Gf39s2s2rgDxS9yBjG5wsPDmDBKu/k5fuQQs6ZOVP0/Z9FyrawnvQkPD2NidG6G/ALfnUM7XLl24SQjZywjY0b9tK6OVkQqI7FzLEDbbn0BsLF35qX3U04e2q3VjsnUcPzQPmrUaUBG/V8zd5GRkQCUr1ydFm3/AMDe0Zn7d905tG+H1jomtSG1jzlHDh1UewDNomUrtLauFq3aqP52cHTCIls2XLp15uWLF1jmy6e19WpD8VKlWbN5F4EB/hzet5uJo4axfP2WFL91wOFDB9Tys3jZyhRdflwt4+UnW7Zs9PzF8lO9dn3V37b2jtjYO9KxZQNu37qhNjozJRw7cpCZf01U/T93kfa+O6khvcWTLvwiD6FJK9IxKUQaWLt2LeHh4eTOnVs1TalUoq+vz5IlyTuTGRQUhIuLCwMGDEjwXr4kGhzTp09n0qRJatN0c5RGL1eZROb4ee99P5HDTP3SxexmWQj8HExIaBg+/kGEh0eQPX4Z8yy889Xuk92yZDVFR1cX/3g3OQ/w8/3PDVJtLDM5spqYoqurq3ZDaoi6rM/cXPNDeszMLRKU9/PzwSxe+fDwMMaPHMq7d29YuHxdqozGy2oS/TlqiCf+CIgYZuYWGsubRsdz1/0WAf5+tGlSR/V+ZEQEyxfNYdf2zWzbdzyFo4gVk5/49fPz803weccwM7dIcDN7/0TyM2HUUN6/e8OCZdrLT6Wq1SlYqLDq/29hYUDUNmORLZtqup+vLw5OzhqXYWJionE7jfs5mJlbEBYWxufPn9RGTfr5Jr4t/4zEcuP/ndz4/2Bu5msxN3FlzmKCjo4ugfEedPMpwC/ByMP4ju7ezOFdGxk+dQmWNg7arGayZMkaHUu8/Wmgvx8mpv99f2pqZkGefOq3CsmTz4ZrF7V7uXCW6P1aQLxtLer4oHlbMzW30Fxew7Z5z/0Wr154MzqVHhCR1H5aU/1Aczxxv2tR38cMWNnYqZXJZ23LvUQub00J6eGYU7V6dQoVKaL6P+zbNyBq35ktzkN3fH19cHLSfALb1DS6LRFv/+br64O5ReL738KFo9b78uVzrXR8xeRHUxsn/ujOGJraOFH5VI/D0DATeS3zkdcyHwULF6V9i4YcObCX9p27p2gM1arXoHCc+/B9i86Pb7z8+Pn64pjIMTQmP74J8uOLRZL5iVqvNvLzX/cD8csHJHHMBcidJy9ZTUx58+plindMVq5ag4KF4nx3wqK/Oz/SvjGNad+oj0D011LbJSnpLR6R/km3rRCpLDw8nI0bNzJ37lzc3d1Vr9u3b5M7d262bt2Kk5MTN2/eVJvvxo0bav+XKFGCBw8eYG9vn+CVMYmnVo4aNYrAwEC1V4YcJbUSa4xrt72oVkb9Xj01yzlz7U7U5R1h4RH86/GS6mVjyygUCqqXceT6Hc2XgKQUPT097B3zc+efa6ppkZGR3L51HaeCRZKYM3WXmdz1OjoX4J/r6uv958a1RG9IXahIUf65cVVt2s1rVyhUOLZ8TKfkqxcvmL9sDVlNTLRS//hi4rl1Qz2eWzeuUrCw5ngKFC7KrZvX1Kb9c/2KqnztBo1Zu2U3azbtVL0ssmWnTYfOzFqo3bPJqvwkiOdaovEULFyUW/Hyc+PaFbXyMR1fr168YP5S7ebHyMiIvPmsVC8bWzvMLSy4GWeb+xIUxIN7dyiUyDanp5cRp/wF+Od6bFyRkZHcvH5NNY9z/oJkyJCBm3HKPPf24v27txQqUizF4/qvudH03dGUm9cvXjBPy7mJK4OeHtb2zjxwjz1uREZG8sD9BnbOhROd78iuTRzYto6hkxdg46C50yK1ZdDTw9bRmbv/XldNi4yM5N6/N3Ao8N/3p04Fi/L2lfpl7W9fPSdbjlz/eZnJoaenh4NTftxvqm9r7v9cI38hzfHkL1gE93/U92u3blwlv4bjybFDe3FwKoCtg/bvjwfR3x2n/PwbL55/b16jQKFE9tOFiqqVB7h1/Sr5o8vr6enhlL8gL+Pd+uT1i+fkyKm9/KSHY46RkTH58lmpXrZ29lhYZOPa1SuqMkFBQdy7c4ciRYtpXIaeXkbyFyjItWux80RGRnL92tVE5wHwfPgQAAsL7Tx1XE9PDycN+fnn5lUKJHkMVc/PzWtXEi0fQxkZqeo0TEnx82MXnZ/r8fJz985tihYtrnEZMfm5niA/VyiSyDwADx96AGBhkS3RMv9VzH7g1k/uB/65fjXR8gAfP7zjU2AAZkl0wP5XRkZGWOazUr1sbO0xt7DgxrXY4/yXoCDu37tD4UTaITHtm7jzREZGcuP61UTn0Zb0Fo9I/6RjUohUdujQIfz9/enWrRuFChVSe7Vo0YK1a9fi4uLCw4cPGTFiBI8ePWLHjh2qp3bHXAo0YsQILl++TL9+/XB3d+fx48fs37//uw+/0dfXJ0uWLGqvH72M28gwI0Uc81DEMQ8A1nnMKeKYB8ucUffjmdz/N9ZM+UNVfvWuv7HJa87UgU1wtM5Bz1aVaVG7OIu3nFWVWbT5DF2aVaB947I42eRg0eg2ZDLUZ+N+9R/+2tC0dQeOH9rL6aMHeOn9jGVzpxESHEytBk0AmDd1LK4rF6nKh4WF8eyxJ88eexIeFoavzweePfbkzasXyV6mtrRp35FD+3Zx9NB+vL2eMnf6FIKDg2nQuCkAf40fxYol81XlW/7egWuXL7Ft8waeez9j3cqlPHxwn+at2wFRHSvjhg/B0+M+4/+aQWREJL4+Pvj6+BAWPVpOm1q17cih/bs5dng/z72eMX/mFEJCgqnXKCqeaRNHs3rpAlX5Fm06cP3KJXZsceWF9zM2rF6Gp8d9mrVqC0DWrCbY2DmovXQzZMDMzIJ8Vtp90BJA63bx8jNDPT9TJ4xiZfz8XImTn1VL8fS4T/NWcfIzYggPH9xn3JQZRKRyfhQKBa3b/YHrmpVcPH+Gp48fMXn8KCyyZadKtdj72/V36cqubbG3nfi9fScO7N3FkYP78H72lNnTJhMSHEyj36Ie1mGcOTONm7Zg0dxZ/HPjGg8f3GfqxLEUKlIs0Q7Pn9W6XUcO79vFsejczIvOTf04uVkVLzfXr1xie3Ru1kfnplmc3IwfMQTPB/cZmwa5qdusLeeP7+fvU4d588KLjUtnEhoSQuXaUZcpr5o7kZ0blqrKH965kT2bVtJ10FgssucmwM+XAD9fQoK/qsoEfQ7k+dNHvIm+F+K71895/vRRgtFvKa1hi/acObKP8ycO8eq5F2sWTSc0JJhqdRsDsGTmeNzWxl5tEPXwH0+8n0Tto/19PuL9xJN3r1+qyjRo0Y7HHnfZ67aOd69f8veZY5w+spc6v7XSaiwAzdv8wdGDezh55AAvvJ+xeM5fhIQEU6dhUwBmTxnDuuULVeWbtm7PzauX2b3VlZfPvdi0djmPH97nt5a/qy33y5cgLp49Qb3G2n/oTVwt2nbkyIHdnDi8n+fez1g0KyqeutH76ZmTRrN2WWw8zVq358bVy+x0c+WFtxcb1yzj0cP7NIkTT6v2nTl/6hhH9u/i9csX7Nu5lSuXzvNbizbxV5+i0tsxR6FQ0O6PjqxZtYJzZ8/w+JEn40aPIFv27FSvWUtVzqVbZ7a5bVb936FjZ/bu2smB/Xt59vQp06ZMJDg4mCZNmwPw8sULVq1YxoP793jz+hXnzp5h3OgRlChVCkcn7XWKt2oXnZ9DcfITHEz9mPxMGM2quPmJ2U9vcY3eT0fnp3VUfoKDv7J62ULu373Nu7dv8PS4z8wp4/j48QPVatbRUIOUpVAoaP9HR1avWs65s6d5/MiTsaOHJ8hPz26d1PLzR8cu7Nm1Q5WfqRrzs5QH9+/x+vUrzp09zbjRIyhZqnSiIzF/Vvz9wMLo/UDMd2fGpNGsibMfaB5vP+Aabz8Q/PUrKxfP5cG927x7+5pbN64yfvhAcufNR6myFbUSQ1wKhYI27TqyYc1KLpw7w5PHj5g0bmRU+6Z6bPumn0sXdsZp37Tt0JkDe3dx+MA+vJ49Zda0SYQEB9OwSex+2dfnI488PXj1Iup3w9PHj3jk6aHVB/ukt3h+SfLwmyTJpdxCpLK1a9dSq1YtsmbNmuC9Fi1aMGvWLD5//syuXbsYOnQoCxcupHz58owZM4bevXujH33PqCJFinD+/HnGjBlD5cqVUSqV2NnZ0aaNdhvtACUKWHFizUDV/7OGtQBg04Gr9JywmZwWWbDMGXu54PM3vjTrv4JZw5rTt101Xr8PoPdkN05d8VCV2XXiFhamxozv3ZAc5pm54/maJn2XJnggjjZUrlmXwAB/tqxbjr+fL7b2Tkyas1R12fXH9+9QxLkviJ/PRwZ2i/0BtXfbRvZu20ihYiWZvmhNspapLTXr1CfA35+1K5bg5+uDvaMzcxavUF0a8/7dWxQ6sbEULlqcCVNnsnrZYlYtXUheSyumzVmErX3UJZwfP3zg7wtRHchd2rVUW9eiFesoXkp7twAAqFG7HoEBfmxYtRQ/Xx/sHJ2ZuSA2ng/v36KjE3vALVSkGGOnzGDdiiWsWb6QPJZWTJm1EBu7tL8kFaLzE+DPupVx8rMoXn4U6vkZ/9dM1ixfzOplUfmZGi8/l6Lz07W9en4WrlhH8ZLazQ9Ah07dCAkOZuZfEwn6/JkixUowb8lK1b4K4PWrlwQEBKj+r1W3PgH+fqxeHvU5ODg5M2/JSrVLuAYMHYFCoWD0n4MI+xZG2fIVGTZqrNbiqKEhN7Pj5ObDu7foxMlNoaLFGffXTNYmIzfd4uVmQSrkpmyV2nwODGDv5lUE+vuSz9aRoZMXkDX68mffj+/VtrUzR/YQHh7G0mmj1JbTpF13mrXvAcC/Vy+ydsEU1XvLZ45NUEYbKlSrw6cAf3a4riDA3xdrO0dGTVusupTb98M7tdz4+X5kRO/YB40c3LmJgzs3UaBICSbMXQWAvVNBhk6cw9a1S9i9eQ3ZcuamU++hVK5ZH22rWqsegQH+bFqzDH8/H2wdnPhr7jLV8eFDvGNOgcLFGDFxOq6rlrBh5WJy583H+OkLsLZV36+dP3UMlFCttvZjiKtarXoE+PvjumYZ/r4+2Dk4MW3+cvV44hx3ChYpxqhJM9iwajHrVywij2U+Js5U309XqlaTgcPHsXXjWpbOm0leK2smTJtHoaIltBpLejvmAHTu2p3g4GD+mjiez58/UaxESZauWK22j3758gUB/v6q/+vWb4C/vx/LlyzG1+cjTs75WbpitepSbj09Pa5dvYzbJleCg4PJkTMXNWvXobtLb63GUqN2PQL8/VgfnR97R2dmLYxzDH3/FkW8/IybMoO1K5awZllUfv6avRDb6Pzo6OjywtuL44cPEBjgT5asJjgXKMjiVa7Y2KXOE9Q7d+1BcHAwU6LzU7xESZatWBMvPy/x15ifRfhE52fZijXx8nOFLZs2Ehz8VZWfHi59tBZH9Vr1CPT3Z0Oc/cD0ePsBnXj7gdGTZrB+1WLWRe8HJsXZD+jo6PDs6WNOHj1A0OfPmFtkp2TZ8nTp2S/JK8NS0h+do9o3M/6aoGrfLFi6Si03r16+JCAgNje1Ve2bxfhGt2/mL12pdunznl3bWbtymer/Xt06AjB20lTVCVqJR/yvUSiVSmVaV0II8X1Tp05lxYoVvHz58vuFf5Bh8aRHWf5Kbh9LnftqpRaTTHppXYUUFR6Rfg45ujq/xhnI5Mqgm77iCUtH25rXhy9pXYUUZZgxfT1sLWs62k+nu/1aOovHxCj9bGuBX7U/cjw1mWRKnc6y1OLzOfT7hX4RxgYyFuv/M9NM6atNkBjDCqPTbN3Bl6el2bqTS76lQvw/tWzZMkqXLo25uTmXLl1i9uzZ371MWwghhBBCCCGEEOJXIR2TQvw/9fjxY/766y/8/PzIly8fQ4cOZdSoUd+fUQghhBBCCCGEEP8//CL3ekwr0jEpxP9T8+fPZ/78+d8vKIQQQgghhBBCCPELkqdyCyGEEEIIIYQQQgghUp2MmBRCCCGEEEIIIYQQQhsUMiYwKfLpCCGEEEIIIYQQQgghUp2MmBRCCCGEEEIIIYQQQhvk4TdJkhGTQgghhBBCCCGEEEKIVCcdk0IIIYQQQgghhBBCiFQnl3ILIYQQQgghhBBCCKEN8vCbJMmnI4QQQgghhBBCCCGESHUyYlIIIYQQQgghhBBCCG2QEZNJko5JIQS3j81K6yqkmKL1hqd1FVLUi4sL0roKKcpIXzetq5Bi/L9+S+sqpChjnfTVJPgWHpnWVUgxEUplWldBJOFraERaVyHF6Oqkr6eGhkemn/0AwLeI9BNPetutffwcmtZVSFGhYelnW8ukn742NgXpaz8tBEjHpBBCCCGEEEIIIYQQ2pHOTvylNBlPKoQQQgghhBBCCCGESHXSMSmEEEIIIYQQQgghhEh1cim3EEIIIYQQQgghhBDaIA+/SZJ8OkIIIYQQQgghhBBCiFQnIyaFEEIIIYQQQgghhNAGhTz8JikyYlIIIYQQQgghhBBCCJHqpGNSCCGEEEIIIYQQQgiR6uRSbiGEEEIIIYQQQgghtEEefpMk+XSEEEIIIYQQQgghhBCpTjomhdZVq1aNQYMGqf63trZmwYIFyZ7f29sbhUKBu7t7itctKfHrLYQQQgghhBBCCPFDFIq0e/0C5FJu8dM6d+6Mq6trgumPHz/G3t4+wfQbN25gZGSUonXYsGEDgwYNIiAg4LvlunTpAoCOjg5ZsmTB0dGRhg0bMnDgQLJmzaoqu2fPHvT09JK1/mrVqlGsWLEf6nD91R3es50921zx9/PFxs4Rl4EjcCxQSGPZ515P2bJ2GU8fefDh3Vu69xtGk9btf2qZKaViCTsGd6xFiQL5yJUtK60Hr+LguTtJzlO5pAMzhzangF1OXr0LYMaaY2w+eE2tjEvrKgzuVJMc5lm4++g1Q2bu5Ob959oMRWX3Dje2blyPn68Pdg5ODB4+mgKFiiRa/szJ46xZvph3b1+T19KK3gOGUL5SFdX758+cZN+uHXg+vM+nwEDWu+3CwSl/aoQCgFKpZNXyxezbs5Ogz58pUqw4I0ZPIJ+VdZLz7dy2hc2u6/D19cHB0ZlhI8ZQsHDU5xAYGMCq5Uu4duUS79+9xcTUjKrVa9KrzwCMM2fWajwHdm9j1xZX/Px8sLV3pM+QkTgXKJxo+QtnTuC6ainv370hT958dOsziDIVKquVeeH9jLXLFnDn33+IiAjHytqOcdPmkj1nLq3GsnuHG27R25p9Mre11fG2tQpxtrVzGrY1x1Tc1vbv2sbOLRvw8/PBzt6RvkNG4Vww8dycP30C11VLeBedm+59B1M2Xm6eez9jzdL53Pn3HyIjwslnY8eEafO0nhuAM4d2cWzPZgL9/bC0saedy1BsnQpqjuXYPq6cOcrr588AsLJ3onnH3qry4eHh7N20grs3r/Dx3WsMjYwpULQ0LTr3wdQ8m9ZjOb5/Bwd3biLAzxcrOwe69P0Te2fNx4eX3k/Z4boCr8cP+fj+LR17D6Fh83YJyvn5fGDLmsW4X79MaGgIOXPnpfewCdg5FdB2OBzdt5192zcS4OeLtZ0j3fsPxyG/5nheeD1l24blPH3kwcf3b+nSZyiNW6ofQ4/t38nxgzv58O4tAJbWtrT+oyclylbUeiwAh/duZ1/08dva3pGeA0bgmEQ8buuX8dTTgw/v39Kt7zB+a6Uez/3b/7B320aePHqAv68Po6bMo1zl6qkRCkf37WC/KjcOdPtublbwLE5uGrVU39aicrOLj3Fy0+qPHqmWm/R0zIHoeNxc8Y+JZ/BInL4Tz8bVsfF07a0eT72KRTXO163PYFq175zS1VeT3o45h/ZsS9COTyw3z72esGXtcp48esCHd2/p0W8YTVp3+KllprTd293YEtPGcXRiSDLaOKuWL+bdm9fkzWdFn3htHKVSyZoVSziwdxefP3+mSNHi/Dl6PJb5rFIjHJRKJatXLOHA3p2q9Q8fPR7LfNZJzrdruxtbNq6L8zmMoWCczyE0NJRF82Zx6sQRwr59o2z5Svw5ahxm5hZajkikJzJiUqSIevXq8fbtW7WXjY2NxrLZsmUjU6ZMqVzDWFmyZOHt27e8evWKy5cv07NnTzZu3EixYsV48+aNqpyZmRmZtdxB8au6ePo4a5bOpW1nFxasccPG3pHxw/oQ4O+nsXxoSNQPvk4uAzA103yQ+tFlphQjQ33uPnrNoOnbk1XeKrc5exf34sLNR5T9fQZL3M6yfHw7apWP7TxpWacEM4c2Y+rKo5RvN5M7j15zYFlfspkaaysMldMnjrJk3iy69OzD2i07oxoQ/Vzw9/PVWP7u7X+ZNOZPGjVtzjq3XVSuVoNRQ/vz7MljVZng4GCKFCtO7/5DtF5/TTZuWMN2t82MHDORdZu2Y2iYiQF9ehAaGproPCePH2HB3Jl0d+nLxq27cXB0YkCfHvhFfw4+Hz/g8/EDA4cMZ+uuA4yfPI0rly7y16SxWo3l3KljrFo0h/ZdXVi6fhu29k6MGdybgETyc/+uO9MnjKRe42Ys27CdClWqM2nkILyfxubnzauXDOnVGUsrG2YvWcOKjbto16UnGTNm1Gosp04cZfG8WXTt2Yd1ydzWJkZva+sT2dZC0nBbO3fqGCsXzaZDt14s37AdWwcnRg3ulWg89++4M23CCOo1bsZy1x1UrFKDiSMG4hUvN4NdOpHPyoa5S9eyctNu2nfpiZ6WcwNw/cJJtq9ZyG9tuzNhoSuWNg7MHz+ITwGa96med29Rpmpt/py+lNFzVmOWLQfzxg/E3+cDAN9CQ3jx1JPGv3dhwkJX+o6ewbvXz1k85U+tx3L53Ak2rpxPiw49mLF8M1a2jkwb1Z/AxI45oSHkyJWXtt36YWJmrrFM0OdPjB/UDV3dDIyatpB5a3bwh8tgjDJn0WYoAPx99jjrl8+jdceezFnphrWdA5NH9E38GBoaQo5cefijxwBMEjmGmmfLTofuA5i9Yguzl2+mcPHSzBg3mBdeT7UZCgAXzxxn3bK5tOnswrzVbtjYOTLxzyTaBNH5+aNn4m2CkJBgrO0ccRk0SptVT+DS2RNsiM7N7JVbsLJzZMqIfolua9+ic9OhR/9EtzXzbDno0L0/s1ZsZtbyTRQqXpqZ44akSm7S0zEH4PypY6xePIcOXV1Ysi46niG9CfDXHM+Du+7MmDiSuo2asXT9dspXrs7kUYPwfhYbj9uB02qvIaMnoVAoqFStllZjSW/HnAtx2vEL12xN5m+DPHRyGZjofuBHl5mSTh0/yqLoNs56t51RJ1/7uqjakfHdvf0vE0b/SeMmzdngtosq1Wowckh/nsZp42x2XcvOrVv4c/QE1rhuxcDQkMF9eybZnk1JUevfzPDRE1jrug1DQ0MGfWf9UZ/DTLr17MMGt104ODgzuG9Ptc9h4dwZXLp4lqkz57Ns9UZ8Pn5g5LCBqRGSSEekY1KkCH19fXLmzKn20tXV1Vg2/qXcDx8+pFKlShgYGFCgQAFOnTqFQqFg3759avM9e/aM6tWrkylTJooWLcqVK1cAOHfuHF26dCEwMBCFQoFCoWDixImJ1lWhUJAzZ05y5cpF/vz56datG5cvXyYoKIjhw4erysW/lHvZsmU4ODhgYGBAjhw5aNmyJRA1YvT8+fMsXLhQtX5vb28iIiLo1q0bNjY2GBoa4uTkxMKFC9Xq0rlzZ5o2bcqcOXPIlSsX5ubm9O3bl7CwMFWZ0NBQRowYgaWlJfr6+tjb27N27VrV+/fu3aN+/foYGxuTI0cO/vjjD3x8fBKNPyXs27GZuo2aU6tBE/JZ29Fn6Bj0DQw4eXifxvKO+QvStc9gqtSsh15GzaNQf3SZKeXEpQdMWnaIA2eTHiUZo0fLSni/9mXkvL14er1nxfYL7D3tTv/2sSM5BnSowfo9l9l04CoPn72j/9RtBId8o1PT8toKQ2XbZlcaN2tJw9+aYWNrz5+jJ2BgYMCh/Xs0lt+5dTNly1eiXceuWNvY0aPPABydC7B7h5uqTL2Gv9GlZx9KldV+/eNTKpVs27KRrj16UbV6TRwcnZg4ZQY+Hz9w/uypROdz2+RK0+ataNy0ObZ29owcOxEDAwMO7ov6HOzsHZk5dxGVq1Ynr2U+SpcpR+9+g7h4/izh4eFai2fPtk3U+605dRs1xcrGjgHDx6Kvb8DxQ/s0lt+3YwulylagVfvO5LO2pVPPftg75Wf/7m2qMhtWLqZM+Up07zsYe6f85M5rSfnK1RL9kZxStmvY1vST2NZ2RG9r7aO3tZ7R29queNta1559KJ0G29rurRup/1sL6kXnZuDwcejrGyaam707tlC6bEVad+iClbUtnV2ic7MrNjfrVy6mTIXK9Og3RJWbCpWrY6rl3ACc2LeVKnWbUKl2I3Lns+GPviPIqG/A3ycPaSzf88/J1GjYkny2juSytKZz/9EoIyPxuH0TgExGxgz9azGlK9ciZ14r7JwL0b7XMJ4/eYjvh3dajeXw7i3UrN+U6vV+I6+VLd0HjiKjvgFnjx/QWN7eqSAdeg6kYvW66Olp/kF+YLsr5tly0OfPCdg7FyJ7rjwULVWOnLnzajMUAA7u3ELtBs2oWb8Jlta2uAweg76+AWeO7tdY3sG5IJ16DaZSjbqJXslRukJVSparRO68+chtaUX7bv0wMMzEI4+72gwFgP07N1OnYXNq1Y86fvceEnX8PnVkn8byDs4F6dI7uk2QSDwly1aiQ/e+lK9cQ4s1T+jgzs3UatCMGvV/i87NaPT1DTidSG7snQvSqdeg6Nxo3tZKV6gSLzd9Uy036emYA7Bn+ybqNW5OnYZR8fT/8z/E45ifA3H202bmFmqvKxfPUbREaXLl0e6+IL0dc/bt2ETdRs2p3aAp+azt6Dt07Hd+GxSia58hVE3yt8GPLTMlbdviym/NWtKoSVQbZ/iY77Rx3KLbOJ26Ym0b1cZxci7A7u1RbRylUskOt0107u5ClWo1sHd0Yvzk6fh8/MCFc6e1Ho9SqWS728bo9deMXv+M765/65YN/NasFY2aNNf4OQR9/szBfbsZMGQEpcqUw7lAQcZMnMrd2/9y785trcf1S1HopN3rF/Br1FKkWxERETRt2pRMmTJx7do1Vq1axZgxYzSWHTNmDMOGDcPd3R1HR0fatm1LeHg4FSpUYMGCBaqRkG/fvmXYsGE/VI/s2bPTvn17Dhw4QERERIL3b968yYABA5g8eTKenp4cO3aMKlWihuYvXLiQ8uXL06NHD9X6LS0tiYyMJG/evOzcuZMHDx4wfvx4Ro8ezY4dO9SWffbsWZ4+fcrZs2dxdXVlw4YNbNiwQfV+x44d2bp1K4sWLcLDw4OVK1dibBw18i4gIIAaNWpQvHhxbt68ybFjx3j//j2tW7f+ofh/RFhYGE8eeVC0VFnVNB0dHYqVLIvn/eR17qXGMrWlbFEbzl7zVJt28rIHZYtEjRDWy6BL8fyWnIlTRqlUcuaaJ2WKaB5FnFLCwr7x6OEDSpWJ7dTR0dGhVJly3L+ruXFw7447pcqWU5tWtnxF7t1x12ZVk+3N61f4+vhQJk5HlXHmzBQsXIS7tzXHFBb2jYce99U6t3R0dChdtjx3k4grKOgzRsbGZMignbuchIWF8djTgxKlYj9vHR0dipcux4N7mrdzj3t3KF5aPT8ly1bAI7p8ZGQk169cJE8+K0YP6kXrBtUY0L09l8+f0UoMMcLCvuH58AGlNWxr9xLZ1u4nsq3d/3+wrYWFhfHI04MSpdVzU6J0WR7c0xzPg3u3KVG6rNq0UmUr4BFdPjIykmuXL5DX0oqRg3rRqkFV+ndrxyUt5wYgPCyM5088yV+stGqajo4OBYqV5unD5HWGhIaGEBERkeQIwuCvQSgUCjIZa+/qgvCwMJ49ekjhEurHh8IlyvD4wX8/Pty8cgFbx/zMmzyCHq1qM6JXO04f2ZsSVU5SWFgYTx95UKSkejxFSpbF8yfiiSsiIoK/zxwnJCQYpwKJX3aYEsLCwnjq6UHRePEUTcF4UktUbh5SpGQZ1bSo3JTh0YOU6URM7dykl2MOxMZTPN5+unipcqr6xedx/w7FS2mIJ5G2pb+fL9cvX6Ruo2YpV3EN0tsxJ6YdX0xDO/7hT/42SMllJn/d3/D0eKB2Qj6qHVku0c62e3fdKZ1EezqmPRu3HWScOTMFChVJlQ68mPWXjteejlq/u8Z5Yj6HuHHFtKdj5nnocZ/w8HC15Vrb2JIzZ64k29xCxCf3mBQp4tChQ6rOMoD69euzc+fO78538uRJnj59yrlz58iZMycAU6dOpXbt2gnKDhs2jIYNGwIwadIkChYsyJMnT3B2diZr1qyqkZD/lbOzM58/f8bX15fs2bOrvffixQuMjIxo1KgRmTNnxsrKiuLFiwOQNWtWMmbMSKZMmdTWr6ury6RJk1T/29jYcOXKFXbs2KHWcWhqasqSJUvQ1dXF2dmZhg0bcvr0aXr06MGjR4/YsWMHJ0+epFatqEtKbG1tVfMuWbKE4sWLM23aNNW0devWYWlpyaNHj3B0dEwQZ2hoaIIh+99CI8ior5+sz+lToD+RERGYmpqpTTcxM+fVC+9kLSM1lqktOcyz8N7vs9q0D36fyJrZEAN9PUyzZCJDBl0+xC/j+wkn6xxarVtgQAARERGYmaufGTczN+e5t5fGefx8fRKcSTc1M8fPV/OlKqnNN3r0b4KYzCzw9f2ocZ4A/x//HAL8/Vm3ejlNm2uvU/9TQNR2Hn9UiamZOS+fa66Xv68Ppqbxypua4+8b9bkE+PsR/PUr2zeto3PPfnTrM4ibVy8xefQQZi1ZQ5HipbQSS0AS29qLRD5jX18fzMzi59Ec3/8H21pgdG40fReSyo2mXPolyM1aOvfsT/fo3EwaNZjZS9ZStIR2cgPw+VMAkZERZDFR36dmMTHl7SvvZC1j14almJhZUCBO52ZcYd9C2bV+KWWq1MYwU8reNzquT4FRsWSNd3zIamrGm5fe/3m5H96+5uTB3TRs0Z5m7brw1PMB65fOIUMGParWafSTtU7c5+h4TOIf70zNeP2Tx7vnzx4zql9nvn37hoGhISMmzcXS2vb7M/6ET4H+UfGYxY/n/9/x+3tic6P+vc5qap4iuRndr4sqN8MnzdF+btLRMQcSj8fEzJyXL5K/nzYxi40nvlNHD2CYKRMVq9ZMmUonIr0dc2La8fG/Oynx2yAll5lcqjaOhjZLYu1IXx8fTOO1iUzNY9s4MXkyi3fZupm5OX5avtINotpgia3fN5H1x34O8eYxM+e59zPVcvX09Mgc7ySmqbmFKmYR7Rd5CE1akY5JkSKqV6/O8uXLVf8n9+E2np6eWFpaqnXolSlTRmPZIkVizyznyhV1A+cPHz7g7Oz8X6qcgFKpBKIu9Y6vdu3aWFlZYWtrS7169ahXrx7NmjX77r0yly5dyrp163jx4gXBwcF8+/aNYsWKqZUpWLCg2mXvuXLl4u7dqDPz7u7u6OrqUrVqVY3Lv337NmfPnlXrFI7x9OlTjR2T06dPV+swBeg3dDT9/9Q8UlWI1HTs8EGm/zVR9f/8xcsTL5xCgoKCGNy/Fza29vTs1Vfr60tJyshIAMpXrk7z3/8AwM7RmQf3bnN4706t/kgUSYuMk5sWbaNyY+/ozP277hzat0OrPxJ/1pGdG7l+4RTDpy9FL2PCk1bh4eEsnzEGJUr+6DsiDWr48yKVkdg5FqBtt6jvvI29My+9n3Ly0G6tdkxqU25La+au3srXL0FcOX+axTPHM2X+Gq13gInvy21pzRxVbk6xZOYEJs9f/cvlJr0fc44f2keNOg2SfbL+/5Nf+ZgjUt7xIweZOXWi6v85i1akXWWESAbpmBQpwsjISOMTuFNS3PsQxXQexhyEU4KHhwdZsmTB3DzhfVgyZ87MrVu3OHfuHCdOnGD8+PFMnDiRGzduYGJionF527ZtY9iwYcydO5fy5cuTOXNmZs+ezbVr6k9vjn9/JYVCoYrL0NAwyToHBQXRuHFjZs6cmeC9mM7b+EaNGsWQIeoPlngRkPDy9cRkyWqKjq4u/vFuPB3g5/uf72GjjWVqy3vfT+QwU79sMbtZFgI/BxMSGoaPfxDh4RFkj1/GPAvvfD9ptW5ZTUzQ1dVNMNrRz9cXcwvNNxY3M7dIcKN1fz/fBCPhUkvlajVUT84G+PbtGxAVg0W22JHMfn4+ODpqflqziWnyP4cvX74wsE8PMhllYta8xWRI5H5nKSGLSdR2Hv+hA/5+vone+N3U3AL/eDf19/f3xTT6SYdZTEzR1c2AVbwft5ZWNlq9RNokiW3NLJFtzdzcIsFN4/38fDXuc1Nb1ujcaPoumCbyVElTcwuNuYx5CmXWmNzY2KmVyWdty73b/6Zg7RPKnMUEHR3dBA+6+RTgT1bTpD/vY3u2cGTXRob9tRhLG4cE74eHh7Nixhh8P7zjz2lLtTpaEiBL1qhY4j98JNDfL8FImh9hamZBnnzqt9fIk8+Gaxe1e9lj5uh44j+8IcDf76fv0aenp0euPPkAsHMswBPP+xza40bvIdp7qFeWrKZR8fjFj+f/3/H7e2Jzo/69DvT3TfShQ8kVlRtLAOwc8/PE8wGH92yl1xDtnRROT8ecmHVriifgO/FoLK9hv37P/RavXngzevKslKt0ItLbMSemHR//u5NUbtJimcmlauNoaLMk9qRpcwsL/OO1ifx9Y9s4MfP5+flgkS1b7DJ9fXFwSplBNnFVqlpD7QniYWHfEl2/YyLrj/0c1Ec+RrXdouIxN7cgLCyMz58/qY2a9Pf1kadyx/eL3OsxrcinI9KUk5MTL1++5P3796ppN27c+OHlZMyYUeO9IZPrw4cPuLm50bRpU3R0NH8tMmTIQK1atZg1axZ37tzB29ubM2fOJLr+S5cuUaFCBfr06UPx4sWxt7fn6dMfewJj4cKFiYyM5Pz58xrfL1GiBPfv38fa2hp7e3u1V2KjVvX19cmSJYva60fODOvp6WHvmJ87/8R2sEZGRnL71nWcCv63+yVpY5nacu22F9XKOKlNq1nOmWt3oi7tCAuP4F+Pl1QvG1tGoVBQvYwj1+9ovvwjpejpZcTRuQD/3LiqmhYZGck/N65RsHBRjfMUKlKMm9evqk27ce0KhYoU02ZVE2VkZIRlPivVy9bOHnMLC27EqWNQUBD3796hcFHNMenpZcQ5f0G1eSIjI7l5/SqF48QVFBRE/97d0NPTY+6CZehreYSEnp4eDk75+Tfedu5+85pa4zGu/IWK4H5T/WTGretXyR9dXk9PD8f8BRNc1vT65XOy59R8ciIl6OllxMm5ADc1bGuFEtnWChYpxj8atrWCabStxaWnp4ejU37+vamem39vXqNAIc3xFChUVK08xOSmqGqZTvkL8jJ+bl48J4cWcwOQQU8PK3snPG7HHk8jIyPxuH0DO+fCic53dNcmDm1bx+BJC7B2SNjxH9Mp+f7NS4ZNXYxxlqxaqX9cGfT0sHV05u6/11XTIiMjuffvDRx+4h59TgWL8vbVc7Vpb189J1sO7eZGT08PO8f83LmlHs+dW9dT/J6DkZGRhMd5mJ426OnpYeeUnzu31L87d/5J+Xi0LSo3zty9pf69uXPrBo4FEv/e/BfKyEhVR4G2pKdjTsy6HZzyq9UvMjIS93+uqeoXX/6CRXD/J148N66SX0Pb8tihvTg4FcDWwSnBeyktvR1zYtrxt/9R36/dvnUd55/8bZCSy0z+ujPilL+AWpslqh15jUJFEmlPF07Ynr4epz2dO09ezC0suHk9NodfgoJ4cO9Oosv8GfHb0za29tHrj61j7PqLaVxGzOdwU0N7OmYe5/wFyZAhg1qZ595evHv3Vq3NLcT3SMekSFO1a9fGzs6OTp06cefOHS5dusTYsVFn9jVdUp0Ya2trgoKCOH36ND4+Pnz9+jXRskqlknfv3vH27Vs8PDxYt24dFSpUIGvWrMyYMUPjPIcOHWLRokW4u7vz/PlzNm7cSGRkJE5OTqr1X7t2DW9vb3x8fIiMjMTBwYGbN29y/PhxHj16xLhx436409Xa2ppOnTrRtWtX9u3bh5eXF+fOnVM9QKdv3774+fnRtm1bbty4wdOnTzl+/DhdunT5qY7a72naugPHD+3l9NEDvPR+xrK50wgJDqZWgyYAzJs6FteVi1Tlw8LCePbYk2ePPQkPC8PX5wPPHnvy5tWLZC9TW4wMM1LEMQ9FHPMAYJ3HnCKOebDMaQrA5P6/sWbKH6ryq3f9jU1ec6YObIKjdQ56tqpMi9rFWbzlrKrMos1n6NKsAu0bl8XJJgeLRrchk6E+G/erN1i04fcOnTi4dxdHD+7D2+spc6ZPJjg4mIa/Rd3Ifcr4UaxYPF9VvlXbDly7fImtmzbw3OsZa1cu5eGDe7Ro3U5V5lNgAI89PfB+FtWx/uK5N489PfD10XyPx5SkUCj4vX1H1q1ewYVzZ3jy+BETx47EIlt2qlavpSrXp2cXdmzbovq/3R+d2L9nJ4cO7MPr2VNmTp1EcHAwjZpEfQ5BQUEM6N2NkOBgxk78i6AvQfj4fMTH56NWvzvNf/+Dowf2cPLIAV54P2Px7L8ICQmmTqOmAMyaPIZ1yxeqyjdt3Z6bVy+zy82VF95ebFqznMcP79Okxe+qMq3ad+L86eMc2b+b169esH/XVq5eukBjLd4vE6BN9LZ2JM62FhJvW1seZ1tr3bYDVzVsay3jbWuPPD3wirOtPUqlba1F244cObCbE4f389z7GYtmReWmbnRuZk4azdplsblp1ro9N65eZmd0bjauWcajh/dp0jJubjpz/tQxjuzfxeuXL9i3cytXLp3ntxZttB5PnaZtuXD8AJdOH+bNSy82L5tFaEgIFWtF3at5zdxJ7N6wTFX+yK6N7Nu8is4Dx2CRIxeB/r4E+vsSEhx1PA0PD2f59FF4P/Gg57BJREZGqspou/OrYYv2nDmyj/MnDvHquRdrFk0nNCSYanUbA7Bk5njc1i5RlQ8PC8P7iSfeT6KOOf4+H/F+4sm71y9VZRq0aMdjj7vsdVvHu9cv+fvMMU4f2Uud31ppNRaAxq3ac+rwXs4eP8ir589YuWAaoSHB1Kj3GwALp49j8+rFqvJhYWF4PfHE64kn4eFh+Pl8wOuJJ29fxx5DN69ezP3b//Dh3RueP3us+r9yzfpaj6dJqw6cOLSXM8cO8PL5M1bMn0ZISDC16kcdv+dPG8vGVZrbBGHhsW2Ct3HaBMFfv6rKALx/95pnjz35+P6tVmNp3KpDnNx4sWrBdLXcLJo+Psnc+KpyE7utReXiVoLcVEmF3KSnYw5A8zZ/cPRgnHjmRMfTMCqe2VM0x7N7qysvn3uxaW1UPL/F2U8DfPkSxMWzJ6jXWLsPvYkrvR1zmrb+g+OH9sRpx09Va8fPnTqWDQl+Gzzk2eOHhIeFR+8HHsb7bZD0MrXp9/adOBDTxnn2lNnToto4jaLbOJPHxWvjtOvA1SuXcNu0AW+vZ6xZEd2ebhPVxlEoFLRu9weua1Zy8fwZnj5+xOTxo7DIlp0q1bR7T9OY9bdp15EN0et/8vgRk8ePTLD+fi5d2BmnPd22fWcO7N3F4ejPYda0SWqfg3HmzDRu2oJFc2fyz41rPHxwn78mjqFQkWJa6XAV6Zdcyi3SlK6uLvv27aN79+6ULl0aW1tbZs+eTePGjTEwMEj2cipUqECvXr1o06YNvr6+TJgwgYkTJ2os++nTJ3LlyoVCoSBLliw4OTnRqVMnBg4cSJYsmp8+amJiwp49e5g4cSIhISE4ODiwdetWChYsCEQ9mKdTp04UKFCA4OBgvLy8cHFx4d9//6VNmzYoFAratm1Lnz59OHr06A99RsuXL2f06NH06dMHX19f8uXLx+jRowHInTs3ly5dYsSIEdSpU4fQ0FCsrKyoV69eoiM/U0LlmnUJDPBny7rl+Pv5YmvvxKQ5S1WXbX18/w5FnOHqfj4fGdgttuG0d9tG9m7bSKFiJZm+aE2ylqktJQpYcWLNQNX/s4a1AGDTgav0nLCZnBZZsMwZe1P/5298adZ/BbOGNadvu2q8fh9A78lunLrioSqz68QtLEyNGd+7ITnMM3PH8zVN+i5N8EAcbahZpz4B/n6sWbEEP18f7B2dmbt4pepyivfv3qITp9O/cNHiTJg6i9XLF7Fq6QLy5rNi+tzF2NrHXsL59/mzTJsUeynghFFRT73v0rMP3Vy0f0/Gjp27ExIczLQpEwj6/ImixUuwcNkqtRGOr1++IMDfX/V/7boN8Pf3Z9XyRfj6+ODolJ+Fy1apLj3x9HjAvbtRT3Vs3riu2vr2HT5F7jx5tBJLtVr1CAzwZ+PqZfj7+WDr4MTUecvUvjtxv7sFCxdj5KTpuK5awoaVi8mdNx8TZizA2i42PxWr1mTA8LFs27iO5fNnktfKmnFT51KoaAmtxBCjVrxtzUHDtqaIt61NnDqLVcsXsTKRbe1iItta11TY1qrVqkeAvz+ua5bh7+uDnYMT0+YvV+Xmw/t3KOLmpkgxRk2awYZVi1m/YhF5LPMxceZCbOLkplK1mgwcPo6tG9eydF5UbiZMm6f13ACUqVKbz4EB7Nu8mk/+vljaOjB48nzVpdx+H9+h0InNz7kjewgPD2P59NFqy/mtbTeatO9BgO8H3K9dBGDigD/Uyvw5bSnORUpqLZYK1erwKcCfHa4rCPD3xdrOkVHTFqsu5fb98A6duMcc34+M6N1e9f/BnZs4uHMTBYqUYMLcVQDYOxVk6MQ5bF27hN2b15AtZ2469R6aKh15larX5VOAP1vXLyfA3xcbOyfGzVyiupTb54P6fsDf9yNDe7ZV/b9/xyb279hEwaIlmTJ/NQCBAX4smjEefz8fMhkZY23rwLiZSykW74nE2lC5RlQ8buujjt829k5MmLU0Np738fLj85HBPWLbBPu2b2Tf9o0UKlqSqQuj2gRPPB8wdnAPVZl1S+cCUKNuYwaOmqy1WCpWr0NggD/b1q+Izo0jY2cuVstN3O+Nv+9HhvWMPblyYMcmDkTnZvL8qG0tMMCfxXFyY2XrwLiZSyiaCrlJT8ccgKrR8WxaExvPX3OXqe+n42xrBQoXY8RE9XjGT1+Ata36bSrOnzoGSqhWW/vf/xjp7ZhTJbodv3nd8qjc2DsxeU7cbU29/enn84EBcX4b7Nm2kT3Rvw1mLFqbrGVqU626UW2c1cuj2zhOzsxbEq89raPexpk0dRarli1i5ZKoNs6MeYuxi9PG6dAp6oT4zL8mEvT5M0WKlWDekpVav2In7vqDg4OZ8dcE1frnL4nXnn71ksCA2PZ0rbr18ff3Y83yxfhGfw7z43wOAAOHjkSh0GHUnwMJ+xZG2fIV+XPUuFSJ6ZciD79JkkIZ88QPIf6fuHTpEpUqVeLJkyfY2dl9fwbx0x69T3yE6a+maL3haV2FFPXi4oK0rkKKyqibfgbq+3/V7mV4qc1YP32dq/z6TXsjX1PbC9/0s4+G9Let6aWj/ZquTvr64RSegvci///A2CD9fHfS2y/Q9PbdCQ1LP98dM2Pt3T88LShIX9uamZHu9wulA4b153+/kJYEHx2cZutOrvRzdBO/rL1792JsbIyDgwNPnjxh4MCBVKxYUTolhRBCCCGEEEII8WuTh98kSTomRZr7/PkzI0aM4MWLF1hYWFCrVi3mzp2b1tUSQgghhBBCCCGEEFokHZMizXXs2JGOHTumdTWEEEIIIYQQQgghRCqSjkkhhBBCCCGEEEIIIbRBHn6TJLnQXQghhBBCCCGEEEIIkepkxKQQQgghhBBCCCGEENogD79Jknw6QgghhBBCCCGEEEKIVCcjJoUQQgghhBBCCCGE0AYZMZkk+XSEEEIIIYQQQgghhBCpTjomhRBCCCGEEEIIIYQQqU4u5RZCCCGEEEIIIYQQQhsUirSuwf9r0jEphMAkk15aVyHFvLi4IK2rkKLyVR6U1lVIUUtWDk/rKqSYmbsepHUVUtTIVgXSugopqkxus7SuQorZ4/E+rauQonqUskzrKqSogK9haV2FFJOe2gMAYeHKtK5CigoOjUjrKqSYzIbpa1sLCglP6yqkqPDIyLSuQorR1cmY1lUQQnyHdEwKIYQQQgghhBBCCKEN8vCbJMmnI4QQQgghhBBCCCGESHXSMSmEEEIIIYQQQgghhEh1cim3EEIIIYQQQgghhBDaIA+/SZKMmBRCCCGEEEIIIYQQQqQ6GTEphBBCCCGEEEIIIYQ2yMNvkiSfjhBCCCGEEEIIIYQQItXJiEkhhBBCCCGEEEIIIbRB7jGZJBkxKYQQQgghhBBCCCGESHXSMSmEEEIIIYQQQgghhEh10jEpVN69e0ft2rUxMjLCxMQEAIVCwb59+wDw9vZGoVDg7u6e7GVu2LBBtazUpGm9q1atwtLSEh0dHRYsWMDEiRMpVqxYqtftezp37kzTpk3TuhpCCCGEEEIIIYT4SQqFIs1evwK5x2Q61blzZwICAlSdiskxf/583r59i7u7O1mzZk3wvqWlJW/fvsXCwiIFa/rf6vo9bdq0oUGDBqr/P336RL9+/Zg3bx4tWrQga9asREZG0r9//xRbZ0pZuHAhSqUyravxXXt2bGXrpvX4+fpg5+DEoD9HU6BQ4UTLnz11nDXLl/Du7WvyWlrRq/9gyleqAkB4eBirly3m6qWLvHn9CiNjY0qVKUev/oOxyJY9VeLZvcONrRtj4xk8fDQFChVJtPyZk8dZs3yxKp7eA4ao4gE4f+Yk+3btwPPhfT4FBrLebRcOTvm1HkfFEnYM7liLEgXykStbVloPXsXBc3eSnKdySQdmDm1OAbucvHoXwIw1x9h88JpaGZfWVRjcqSY5zLNw99Frhszcyc37z7UZisqtk/u5fmQnXwL9yG5pR62Ofcll56yx7KMbF7lycCsB798QGR6Bac7clK7fkoKVamssf3z9Am6fOUyN9r0pVa+5NsNQaV8+H92q2pAtc0Yevv3MlP0e3HkZqLHsJpcylLUzSzD9nMcHeq6/BUCdQjn4vZwlBfNkwdQoI03mX8Lj7WetxhDj1sn9XDscnZt8UbnJnUhuPG9c5OqBrfi/f0NkRASmOXJTukFLCiWWm3ULcD9zmBodelM6lXJzdN8O9m/fSICfL9Z2DnTrPxyH/IU0ln3h9ZRtG1bw7JEHH9+/pUufoTRq2U6tzLH9Ozl+cBcf370FwNLallZ/9KBE2YpajwWgorUJ1e3Nyayvy5tPoey9+54XASHfna9Y7sx0LJWHu28/s/7Ga7X3shtnpFGBbNiZZ0JHoeD951A23HxNQHC4tsIA4Mje7exV5caRHgOG45hEbtzWL+dpdG669h3Kby3bq5XZtWUdVy+e4dULb/T19XEqWJROPQeQJ5+1VuOIcerQTo7u3kKgvy/5bBzo0Gsotk4FNZY9d2wfl88c4ZX3MwCs7Z1p2am3Wvmbl85y9ugevJ885MvnT0xatAkrO8dUiQXSV36OH9jBwZ2bCPTzJZ+tA136/om9s+ZYXno/ZefGFTx7/BCf92/p2GsIDZq3S1DOz+cDbmsW437jMqGhIeTMnZdewyZg51hA2+Gkq9wA7Nu1lR2bN+Dn54OdvRP9h47CuWDi7c/zp4+zftUS3r19Q17LfPToO5iyFapoLDt/5mQO7d1Jn0HDafH7H9oKQeXw3u3s2+aKv58v1vaO9Bww4ju5WcZTTw8+vH9Lt77D+K2Vem7u3/6Hvds28uTRA/x9fRg1ZR7lKlfXehwx0tsxVKlUsmr5Evbv2UnQ588UKVac4aPHk8/KOsn5dm5zY4vrOnx9fXBwdGLoiDEULBz1myIwMIDVy5dw7cpl3r97i4mpKVWr18SlzwCMM2eWeMT/LBkxKVSePn1KyZIlcXBwIHv2hJ1Burq65MyZkwwZ/v/3ZxsaGqrF8OLFC8LCwmjYsCG5cuUiU6ZMGBsbY25unmp1+vbtW7LKZc2aNU1Gmf6I0yeOsmT+LDr36M2azTuxd3RiaH8X/P18NZa/e/tfJo0ZTsMmzVi7ZSeVq9Vg9LABPHvyGICQkBAePXxAp+4urN28g6mzF/DiuTcjh/RLvXjmzaJLzz6s3RIVz5B+34vnTxo1bc46t11UrlaDUUP7q+IBCA4Opkix4vTuPyRVYohhZKjP3UevGTR9e7LKW+U2Z+/iXly4+Yiyv89gidtZlo9vR63ysZ2oLeuUYObQZkxdeZTy7WZy59FrDizrSzZTY22FoeJx9Rxn3VZSsVkHOk1ZTrZ8tuyYNYovgf4ayxsYZ6H8b+3oMH4hnaetpFCVuhxZPQevOzcSlH1082/ePvHA2DT19gMNiuZkVGNnlpx6QtOFl3n49jNru5XCzCijxvL9Nv5LhclnVK8Gc/8mPCKSo3feq8oYZtTlH29/5hx9lFphAFG5ObMlKjed/1pO9ny27JiZeG4MjaJzM2EhXaatpHCVuhxZNYdnmnJz42/epHJuLp09wYbl82jdsSezV27Bys6RKSP6Eejvp7H8t9AQcuTKQ4ce/TEx01xP82w56NC9P7NWbGbW8k0UKl6ameOG8MLrqTZDAaI6F5sUzM5xTx/mnffmTWAoPctZYpxRN8n5TA31+K1gdp76fk3wnnkmPfpXsuJD0DeWXXrBnHNenHzkS3iEdk+m/X3mOOuWz+P3Tj2Zt8oNazsHJg3vS0AiuYnq+MlDx54DMDXTfDL1/u1/qN+0NbOWujJx9nIiwsOZOLwPIcHB2gwFgGsXTrJt9UKatuvGpEWuWNrYM2fcQD4FaI7n4d1blK1ShxHTlzF27hrMsmVn9rgB+Pt8UJUJDQ3GsUBRWndJneNmXOkpP5fPnWDTyvm07NCD6cs2Y2XryPTR/ZPcD2TPmZd2Xfsluh8I+vyJ8YO7oZshAyOnLmTu6h106DkYI+Ms2gwFSF+5ATh78hgrFs6mY/derHDdgZ2DIyMGJd5eu3/Hnb/Gj6B+4+asdN1JxSo1GD98IF5PHyco+/e503jcu4N5Kp0Qv3jmOOuWzaVNZxfmrXbDxs6RiX/2STI3OXLl5Y8kchMSEoy1nSMug0Zps+oapbdjKMCmDWvZ4baZEWMmsHbTNgwMDRnYpyehoaGJznPy+FEWzp1JN5c+uG7dhb2jMwP79MQvehv1+fiRjx8/MmDIn7jt2s/4ydO4culv/po0TuJJ52TEZNKkY/J/RLVq1RgwYADDhw/HzMyMnDlzMnHiRNX71tbW7N69m40bN6JQKOjcuXOCZWi6lPvAgQM4ODhgYGBA9erVcXV1RaFQEBAQoDbv8ePHyZ8/P8bGxtSrV4+3b6POfE2cOBFXV1f279+v+uKcO3cuwboPHTqEiYkJERERALi7u6NQKBg5cqSqTPfu3enQoQOgfin3hg0bKFw46kyqra0tCoUCb2/v717K7e/vT/v27cmWLRuGhoY4ODiwfv161fsvX76kdevWmJiYYGZmRpMmTfD29la9H3NJ9tSpU8mdOzdOTk6MHj2asmXLJlhX0aJFmTx5stp8MSIjI5k1axb29vbo6+uTL18+pk6dmux6aMP2LRtp3LQlDX9rho2tHcNGjcfAwIDDB/ZqLL9r22bKlK9Iu45dsbaxo3vv/jg6F2DPDjcAjI0zM3/ZGmrUrkc+axsKFi7K4OGj8fR4wPvos6TatG2zK42bxcRjz5+jJ2BgYMCh/Xs0lt+5dTNly1dSxdOjzwAcnQuwOzoegHoNf6NLzz6UKlte6/WP68SlB0xadogDZ5MeJRmjR8tKeL/2ZeS8vXh6vWfF9gvsPe1O//axZ9gHdKjB+j2X2XTgKg+fvaP/1G0Eh3yjU1Ptx3bz6G6KVKtP4Sr1sMhjRd0uA9HT1+fuheMay+fLXxTHUpUwz2OFaY7clKrbnGyWtrx6dF+t3Gc/H05tXEqj3qPQ0U29ky1dKluz49pL9tx8zdMPXxi/5z4hYRG0LJ1HY/nA4DB8gr6pXhUdzAkJi+TYnXeqMvtvvWHpqadcfqz5h5m23Di6m6LV61OkarzcnE8kNwWK4li6EhYxuanXnOyWtrzyTJibkxuX0qhP6ubm4M7N1GrQjBr1f8PS2haXwaPR1zfg9NH9GsvbOxekU69BVKpRFz09zR3LpStUoWS5SuTOm4/clla079YXA8NMPPK4q81QAKhqZ8bVF4HceBnI+6Bv7LrzjrCISMrkS3hFRAwF0KFkLo57+uD7JSzB+w3yZ8PjfRCHHnzk9adQfL+Gcf99EEHfIrQYCezfuYU6DZtRs34TLK1t6T1kDPoGiefGwbkgnXsNpnKNumTQ09NYZsKspdSs9xv5bOywsXdkwMhJfHz/jqePHmgzFACO791K1XpNqFy7MXny2dKp30gyGhhw4cRBjeV7/TmZmo1aYmXnSG5La7oOGIMyMpIHt2+qylSs0YAm7bpToFhprdc/vvSUn8O7t1CjflOq1f2NvFa2dB84ioz6Bpw7fkBjeTungnToOZAK1euSIZH9wIEdrphny0HvYROwdy5E9lx5KFqqHDlz59VmKED6yg3Arq0badCkBfUaNcPaxo5BI8ajb2DIsUOa2597tm+mdLmKtOnQBSsbW7q49MfBqQD7dm1VK/fxw3sWz53G6EkzyJBKx539OzdTp2FzatVvQj5rO1VuTh3Zp7G8g3NBuvQeTJWa9dBLJDcly1aiQ/e+lK9cQ4s11yy9HUOVSiXbtmykSw8XqlaviYOjExOnzMDn4wfOnz2d6HxbN22gSfNWNG7aHFs7e0aOjfpNcXBf1G8KO3sHZs5dSOWq1clrmY9SZcrRu99A/j5/lvBw7V15kN7iEemPdEz+D3F1dcXIyIhr164xa9YsJk+ezMmTJwG4ceMG9erVo3Xr1rx9+5aFCxd+d3leXl60bNmSpk2bcvv2bVxcXBgzZkyCcl+/fmXOnDls2rSJCxcu8OLFC4YNGwbAsGHDaN26taqz8u3bt1SoUCHBMipXrsznz5/5999/ATh//jwWFhZqnZjnz5+nWrVqCeZt06YNp06dAuD69eu8ffsWS0vL78Y3btw4Hjx4wNGjR/Hw8GD58uWqy9jDwsKoW7cumTNn5uLFi1y6dEnV6Rp3ZOTp06fx9PTk5MmTHDp0iPbt23P9+nWePo0903f//n3u3LlDu3YJL/0BGDVqFDNmzFDVx83NjRw5cvxQPVJSWFgYjx4+oGTZcqppOjo6lCpTjvt3bmuc596d25Qqo96JVaZ8Be7d1Vwe4EtQEAqFAmNj7V4GEBb2jUcPH6jVTxVPIvW7d8edUnHiByhbviL37rhrs6paUbaoDWeveapNO3nZg7JFbADQy6BL8fyWnIlTRqlUcuaaJ2Wiy2hLRHgY77wfYV2whGqaQkcHq4IlePPk+z+AlEolz+/fwv/tKyydYi/zUkZGcnjFTMo0bIVFXmttVF0jPV0FBfNk4fKT2A5EpRIuP/almJVJspbRsnReDt9+S3CYdjuCviciPIx3Xo+wipcb64IleJ3M3Hjfu4Xfu1dYOqvn5tCKmZRt2IpsqZibsLAwnj56SJGSZVTTdHR0KFKyDI8epMwPoIiICP4+c5yQkGCcCiR+m4iUoKuAvFkNePTxi2qaEnjk8xVrU8NE56vjZEFQaATXXiS8tYACyJ/DiI9fvtGzXF4m1bVnYGUrCuXU7sjpqNx4UKRk7Ek9HR0dipYoi+f95J2ASY6vX6Juf2CcJfGO25QQHhaG95OHFCimvq0VLFaapw+Tt62FhoYQERGBUWbtj7j7nvSUn/CwMLweP6RwcfVYChcvwyOP/x7LP1cuYOuQn/lTRtCzVW1G9m7H6SOaO9JSUnrKDUS3Pz0fUKK0evuzROlyPEikvfbg3m1KllZvr5UqV0GtfGRkJDMmjaZ1hy5Y29prp/LxhIWF8dTTg6Lxc1OyLJ4PUi43qSW9HUMB3rx+ha+PD2XiDDAwzpyZgoWLcPe2u8Z5wsK+8dDjAWXi/UYqXbY8d5P4jRAUFISRsbFWr0pMb/GI9Ee2lv8hRYoUYcKECQA4ODiwZMkSTp8+Te3atcmWLRv6+voYGhqSM2fOZC1v5cqVODk5MXv2bACcnJy4d++e2mg+iDpYrVixAjs7OwD69eunGh1obGyMoaEhoaGhSa43a9asFCtWjHPnzlGqVCnOnTvH4MGDmTRpEkFBQQQGBvLkyROqVq2aYF5DQ0PVJdvZsmVLdnwvXrygePHilCpVCogaVRpj+/btREZGsmbNGtXw6PXr12NiYsK5c+eoU6cOAEZGRqxZs4aMGWPPBBYtWhQ3NzfGjYsa4r5lyxbKli2LvX3CxtDnz59ZuHAhS5YsoVOnTgDY2dlRqVKlH6pHXKGhoQmG7Id+00FfXz9Zn0tggD8RERGYxbvswtTMnOfeXhrn8fP1SVDezMwCP18fjeVDQ0NZvng+teo2wMhYuz96AwMCouKJd1m/mXnS8ZhqiN/PN3VHrKWEHOZZeO+nfj/CD36fyJrZEAN9PUyzZCJDBl0+xC/j+wkn6xxardvXz4EoIyPJlNVUbbpRFlP83rxMdL7Qr19YNuB3IsLDUOjoULvTAKwLl1S9f+3QdnR0dShZp5nW6q6JqVFGMujq4PNZ/aSBT1AottmNvjt/EcusOOXKzJhd97RVxWSLyY1RvNxkymqK79ukc7O0f2xu6nQegE2c3Fw9tB0dHR1K1k3d3HwODCAyMgKTeJeOZzU15/UL759a9vNnjxndrwvfvn3DwNCQ4ZPmYGlt+1PL/B6jjBnQ1VHwOVR9tMLn0HCyG2fSOI+NmSFl82Vl7nlvje8b6+tikEGXGvbmHH34kUMPPuKc3YjOpfOw/PILnvpq5zLO2Nyo32s1q6kZr34yNzEiIyNZu2QO+QsVw8pGux0Tnz9FxZPVRD2eLCZmvH2ZvPv27ly/FBMzizQZHRlfesrPp5jcaIjl9Uvv/7zcD29fc+rQbhq0aE/Ttl146vmADcvmkCGDHlXrNPrJWicuPeUGotqfkRERCdtfpua8/JH2mqm5Wvtz26Z16Orq0rx1+/iza82nQP+o3Jip58bE1DzFcpOa0tsxFMDXJ2obMTNXv2zezMw80d8vAf4xvynizWNuzvPoewQnnMefdauX07R5qxSodeLSWzy/pF/jiuo0IyMm/4cUKaJ+dilXrlx8+PAhkdLf5+npSenS6o3iMmXKJCiXKVMmVafkz6y3atWqnDt3DqVSycWLF2nevDn58+fn77//5vz58+TOnRsHB4cfDyQRvXv3Ztu2bRQrVozhw4dz+fJl1Xu3b9/myZMnZM6cGWNjY4yNjTEzMyMkJERtNGThwoXVOiUB2rdvj5tb1CW/SqWSrVu30r695saQh4cHoaGh1KxZU+P7ya1HXNOnTydr1qxqr0VzZ/7QZ6NN4eFhTBg5FKVSydCRcn8S8eMyGhjSeeoK/pi0hMotu3DWbQUvPKJGR7zzesQ/J/ZSv+efv8w9V2K0LJ2Xh28/J/qgnF9BRgNDukxdQcfJS6jSqgtntqzgxYM4uTm+lwYuv15ukpLb0po5q7cyY5krdX9ryZKZE3iZSIM+rejr6tCueC523H7Hl0Quy1ZEt6jvv/vMhWf+vPkUypknfjx4H0R5K1ON8/wqVi2cwXOvpwwdPz2tq/Jdh3a4cu3CSQaMnUnGjMk7ofir+5Xyo0mkMhJrB2fadu2Ljb0ztRo2p2b9ppw6vDutq/bTfvXcPHp4nz3bNzN83F/p6riTnqTWMfTY4YNUK19S9UqNy5CDgoIY0r8XNrZ29OjVN0WXnd7iEemfjJj8HxL/fiQKhYLIyMg0We9/eep0tWrVWLduHbdv30ZPTw9nZ2eqVavGuXPn8Pf31zha8mfUr1+f58+fc+TIEU6ePEnNmjXp27cvc+bMISgoiJIlS7Jly5YE82XLlk31t5FRwlFQbdu2ZcSIEdy6dYvg4GBevnxJmzZtNNbB0DDxS+6AZNcjrlGjRjFkiPoDWQK/Jf8cRVYTU3R1dVU3PY7h7+eLubnmm3GbmVskKO/n55PgDFx4eBjjRw7l3bs3LFy+TuujJQGymphExRNvtKOfry/miTyB3szcIsGN1v39fBOMuvwVvPf9RA4z9cvls5tlIfBzMCGhYfj4BxEeHkH2+GXMs/DO95NW65Ypc1YUOjp8jfcwlS+f/DEySbwjRKGjg2mOqHs25rCyx/fNC64e3Eq+/EV55XmPL58CWDEo9mSAMjKSs24ruXl8D73mb9ZOMID/l2+ER0RikVn9ZIWFsT4fPyd+43EAQz1dGhbNycITT7RWvx8Rk5v4D7r5GuifYBRlXAodHUxzxsnN6xdcObiVfAWK8jI6N8sHxsvNlpXcPLaH3gu0l5vMWU3Q0dElwF/9ex3o74tJIg8ZSC49PT1y5Ym6fYidY36eeD7g8J6t9BqS8NYnKeXLt3AiIpVk1ldv5mXWz8DnkIQ/TsyN9DA3yki3MrH3vIv5jT67kRMzzjwjIDiMiEgl7+KN+P3w+Rs25kkfq35GbG7UH6AQ6O+XYCTUf7Fq4QxuXLnItIVrsMim3VHgAJmzRMUTGO9BN58C/BKM1Ivv6O7NHN61keFTl2Bpk3InYn9GespPlpjcaIglsYdzJIepmQV586nf+iR3Phuu/X3mPy8zOdJTbiCq/amjq5uw/eWfePtLY3vN31fV/rzrfosAfz/aNo29wigyIoIVi+awe9tm3PZpvmfyz8qS1TQqN37quQnw902R3KS29HAMrVythupJ0wBh0bfE8vP1wSLObyo/P18cHJ01LsPENOY3hfoIRD9fX8zi/ab48uULg/r0JJORETPnLU70nq7/VXqLJz2Qkx9JkxGT4j9zcnLi5s2batNu3Ej4dNXvyZgxo+qhNkmJuc/k/PnzVZ2QMR2T586d03h/yZ+VLVs2OnXqxObNm1mwYAGrVq0CoESJEjx+/Jjs2bNjb2+v9sqaNel77OTNm5eqVauyZcsWtmzZQu3atTU+BR2iLrk3NDTk9GnNNyX+L/XQ19cnS5Ysaq/kXsYNUQ0ER+cC/HP9mmpaZGQk/9y4RsEiRTXOU6hIUf65cVVt2s1rVyhUOLZ8TKfkqxcvmL9sDVlT6cnkenoZo+KJUz9VPIUTi6cYN6+rx3Pj2hUKFSmmzapqxbXbXlQr46Q2rWY5Z67dibosKiw8gn89XlK9bGwZhUJB9TKOXL+j+dKplKKbQY+c1o48f/CvapoyMpLn9/8lt32B5C9IqSQiLOpBHgUr1qLL1JV0/muF6mVsak6Zhq1oNVy7Iz7CIpTcf/2J8vaxPzoUCihvb47784Ak561XJCcZM+hw4N83Wq1jculm0COnjSPP76vnxvv+v+T5gdwo4+SmUMVadJ22ki5TV6heMblpreXc6OnpYefozN1bscewyMhI7ty6gWOBwknM+eOUkZGEhWnnHsAxIpTwKjAEB4vYk2MKwMEiE97+CS+5/hD0jVlnnzH3vJfqdf9dEE98vjL3vFdUp6QSXgQEk91YvWM9m3FG/L8mfFBOSonKTX7u3LqumhaVm+s4Ffzv9xlTKpWsWjiDq3+fZcq8leTIpfkBVCktg54e1vbOPHBX39YeuN/Azjnxbe3Irk0c2LaOoZMXYOOQPzWqmizpKT8Z9PSwcXDmnrt6LPfcb+CY/7/H4liwKG9eqV+m//bVcyxy5PrPy0yO9JQbiG5/OhXg3xvq7c9/b1ylQCLttQKFinIrTnmAf65fUZWvVb8xqzfvZtXGnaqXebbstG7fmZkLV2g1Fjun/Ny5pR7LnX+up8r9E1NaejiGGhkZYZnPSvWysbPH3MKCG3Ha+0FBQdy/e4fCRYtpXIaeXkac8xdQmycyMpIb169SOM5vhKCgIAb07o6enh5zFiz9od9h/6vxiPRPOibFf+bi4sLDhw8ZMWIEjx49YseOHWzYsAH4sTMC1tbW3LlzB09PT3x8fAgL0/wDx9TUlCJFirBlyxZVJ2SVKlW4desWjx49SvERk+PHj2f//v08efKE+/fvc+jQIfLnj/ox0L59eywsLGjSpAkXL17Ey8uLc+fOMWDAAF69evXdZbdv355t27axc+fORC/jBjAwMGDEiBEMHz6cjRs38vTpU65evcratWtTpB7/VZv2HTm0bxdHD+3H2+spc6dPITg4mAaNmwLw1/hRrFgyX1W+5e8duHb5Ets2b+C59zPWrVzKwwf3ad466oE/4eFhjBs+BE+P+4z/awaREZH4+vjgm8T2kJJ+79CJg3t3cfTgPry9njJn+mSCg4Np+FvUfe6mjB/FisWx8bRqGxXP1k0beO71jLUrl/LwwT1atI59gNGnwAAee3rg/SzqkvoXz7157OmBr89HrcZiZJiRIo55KOIY9UPBOo85RRzzYJkzahTb5P6/sWbKH6ryq3f9jU1ec6YObIKjdQ56tqpMi9rFWbzlrKrMos1n6NKsAu0bl8XJJgeLRrchk6E+G/erd85qQ6n6Lbh97gj3Lp7A9/VzTmxYRFhoCIWr1AXg8IqZnN++VlX+6oGteN/9h4APb/F9/ZzrR3Zy/9IpClSMuh2CYeYsZLO0UXvp6GbAKKsZ5rm+/1Csn7X+ojety+SlWcnc2GU3YlKzghhm1GX3zdcAzGpTmKH1HBPM16pMHk7d/0CAhg6grIZ65M+VGfscUZ1QNtmNyJ8rMxbGmp9ymVJKR+fm7oUT+Lx+zvH10bmpGpWbQ/Fyc+XAVryic+MTJzcFv5cbEzPMc2s/N41bdeDU4b2cPX6QV8+9WLVgOqEhwdSo9xsAi6aPZ/PqxaryYWFheD3xxOuJJ+HhYfj6fMDriSdvX8feY3Pz6sXcv32LD+/e8PzZ4+j//6FKzfpaj+f8Uz/KWWWllGUWshtnpGWRHGTU1eF69K0A2hbPRcP8UaMmwqNHQsZ9BYdFEhoeybvP34iIvsjh3BM/iuXJQrl8WbEw0qOStQkFchhzyTtAq7E0adWek4f2cubYQV4+f8aK+dMICQmmZnRuFkwbx6Z4uXn2xJNn0bnx8/nAsyeevH39QlVm5YIZnDt5hCFjpmGYKRP+fj74+/kQGhqi1VgA6jZry/nj+/n71GHevPBi49KZhIaEULl21P0GV82dyM4NS1XlD+/cyJ5NK+k6aCwW2XMT4OdLgJ8vIcFfVWWCPgfy/Okj3ryIOmH07vVznj99RICf9u99nJ7y07BFe84c2cf5E4d4/cKLtYui9gNV6zYGYOms8Wxdu0RVPjwsDO+nnng/9SQiLAw/n494P/XkXZz9QMPm7XjicZe9W9fx7vVL/j5zjDNH9lK3sfbvwZaecgPQsm1HDh/YzfHD+3nu9YwFs6YQEhJM3YZNAZgxaTRrli1QlW/epgM3rl5ixxZXXng/w3X1Mh553Kdpy7YAZM1qgo2dg9org24GzMwtsLTS7gP+mrTqwIlDezlz7IBabmrVbwLA/Glj2bhqkap8WFgYzx578uyxJ2HRx5xnjz15+yo2N8Ffv6rKALx/95pnjz35+P6tVmOB9HcMVSgU/N6+I+tXr+TCuTM8efyISWNHYpEtO1Wrx95iq2/PLuzcFnvlWts/OrN/zy4OH9iH17OnzJw6iZDgYBo1ifpNEdOJFxIczJiJU/jyJQhfn4/4+nxM1kAdiefXpVAo0uz1K5BLucV/ZmNjw65duxg6dCgLFy6kfPnyjBkzht69e//QmZIePXqoHmoTFBTE2bNnEx39WLVqVdzd3VXvm5mZUaBAAd6/f4+Tk5PGef6rjBkzMmrUKLy9vTE0NKRy5cps27YNiLpv5oULFxgxYgTNmzfn8+fP5MmTh5o1a5Ily/efktmyZUv69euHrq4uTZs2TbLsuHHjyJAhA+PHj+fNmzfkypWLXr16pUg9/quadeoT4O/P2hVL8PP1wd7RmTmLV6gujXn/7i0KndjzHoWLFmfC1JmsXraYVUsXktfSimlzFmFrH3Up2scPH/j7QlRHWJd2LdXWtWjFOoqXSnjv0pSPx481ceKZu3ilWjw6cXbqUfHMYvXyRaxauoC8+ayYPnexKh6Av8+fZdqksar/J4yKehJ9l5596OaivfuulChgxYk1A1X/zxrWAoBNB67Sc8JmclpkwTJn7OWCz9/40qz/CmYNa07fdtV4/T6A3pPdOHXFQ1Vm14lbWJgaM753Q3KYZ+aO52ua9F2a4IE42pC/XDWCPwfw925XvgT6kz2fHa3+nKa6XPiT7we1A25YaAgnXBcR5OdDhoz6mOWypGGvkeQvV03rdU2OI7ffYWaUkQF1HMiWWR+PN5/otvYmvkFRZ/9zmRgSGe9OFzbZjChlY0bn1ZpHpNcokJ2ZbWJHJCxoXwyAxSefsPik9i79zl+uGl8/xcmNlR2th8fJjU/C3JzcsIjPMbnJbUmj3v9/clOxeh0CA/zZtn4FAf6+2Ng5MnbmYtUlnD4f3qHQiY3H3/cjw3rGnow4sGMTB3ZsomDRkkyeHzW6PjDAn8UzxuPv50MmI2OsbB0YN3MJRUupPyVWG9zffMY4oy71nLKRRV+X159CWXX1JUGhUT8UTA31+NG7qtx9F8Su2++o6WBOs8I5+BD0jQ03X+Plp50H38SoVKMugYH+bN2wHH8/X2zsnJgwc4kqNx8/vFM75vj5fmRIj7aq//dt38S+7VG5mbpgNQDHDuwEYOzgHmrr6j9ioqrTRlvKVqnN58AA9m5eRaC/L/lsHRk6eQFZox8c4fvxPQpFbDxnjuwhPDyMpdNGqS2nSbvuNGsfVf9/r15k7YIpqveWzxyboIy2pKf8VKhWh0+B/uzcGLUfsLJ1ZOTUxaqHevh8eKeWGz/fj4zsHXuC+dCuTRzatYn8RUowYU7UfsDOqSBDJsxh27ol7Nm8hmw5c9Ox91AqpULnSnrKDUD12vUIDPBjw+ql+Pv6YOfgzIz5se3PD+/eqh13ChYpxpjJM1i3cgnrViwkj6UVk2ctxMYu7W+FULlGXT4F+OO2Pjo39k5MmLU09pjz/h06cbc1n48M7vG76v992zeyb/tGChUtydSFawB44vlALS/rls4FoEbdxgwcNVmr8aS3YyjAH527ERwczPQpEwj6/JmixUuwcNkqtd+5r1++JMA/9rY2tetG/aZYtXwxvj4+ODo5s2DZStXtrjw9HnD/btST11s0rqe2vr2HT5I7j/ZGIKe3eET6olD+l5v9CZGIqVOnsmLFCl6+TPyprOL/nw+ftT8qMbX8KmeFkitf5UFpXYUUtWTl8LSuQoqZuetBWlchRY1s9QOXx/8CyuRO+n59v5J1/2hvBHxa6FFK+yNgU5Omkcy/KpNM6eu+YCFh2r+Xemoy0Es/F7tlNkxf21qQhvv3/srCU+E5BKklr5n27oMsfp6JoW5aVyFVZG7jmmbr/ry9U5qtO7lkxKT4KcuWLaN06dKYm5tz6dIlZs+eTb9+/dK6WkIIIYQQQgghhBBpLr0Nnklp0jEpfsrjx4/566+/8PPzI1++fAwdOpRRo0Z9f0YhhBBCCCGEEEII8T9NOibFT5k/fz7z58//fkEhhBBCCCGEEEKI/zEyYjJp6edGJUIIIYQQQgghhBBCiF+GdEwKIYQQQgghhBBCCCFSnVzKLYQQQgghhBBCCCGENsiV3EmSEZNCCCGEEEIIIYQQQohUJyMmhRBCCCGEEEIIIYTQAnn4TdJkxKQQQgghhBBCCCGEECLVyYhJIYQQQgghhBBCCCG0QEZMJk1GTAohhBBCCCGEEEIIIVKdjJgUQhAeoUzrKqQYI33dtK5CilqycnhaVyFF9XOZldZVSDEDpw5I6yqkKI/3wWldhRTVpIBBWlchxQyoYJ3WVUhRRgbpq/mZ0yT9bGuBwWFpXYUUZZFZP62rkKK+hIandRVSTEhYRFpXIUUZ6KWv8T5GBhnTugopJiIy/fzOESK9Sl8tQyGEEEIIIYQQQggh/p+QS7mTlr5O7QghhBBCCCGEEEIIIX4JMmJSCCGEEEIIIYQQQggtkBGTSZMRk0IIIYQQQgghhBBCiFQnHZNCCCGEEEIIIYQQQohUJ5dyCyGEEEIIIYQQQgihDXIld5JkxKQQQgghhBBCCCGEECLVyYhJIYQQQgghhBBCCCG0QB5+kzQZMSmEEEIIIYQQQgghhEh10jEphBBCCCGEEEIIIYQWKBSKNHv9qKVLl2JtbY2BgQFly5bl+vXrSZZfsGABTk5OGBoaYmlpyeDBgwkJCfmhdUrH5C+kc+fONG3aNEWXaW1tzYIFC35oHm9vbxQKBe7u7ilal/8lEydOpFixYmldDSGEEEIIIYQQQgi2b9/OkCFDmDBhArdu3aJo0aLUrVuXDx8+aCzv5ubGyJEjmTBhAh4eHqxdu5bt27czevToH1rvD3VMdu7cWdXrqqenR44cOahduzbr1q0jMjLyh1asTefOnUOhUBAQEJDq67axseHUqVNq05ydndHX1+fdu3c/teyFCxeyYcOGn1rGj9LUGWppacnbt28pVKhQqtYlPRk2bBinT59O0WVu2LABExOTFF1mUvbu3MrvTetSp3JJendth8f9u0mWP3f6OB1bN6ZO5ZJ0bdeMq5cuJFp23ozJVC9bmF1bN6V0tROlVCpZuWwR9WtVpnLZYvR16cKL597fnW/nti00qV+TSmWK0qVDG+7fvaN6LzAwgNkz/qJlk/pULluMxvVqMGfmVII+f9ZiJHDr5H5WDO7A3K4N2DShP2+fPky07KMbF3Ed34eFLk2Z360xG8a4cP/vk4mWP75+AbP+qM3NY3u0UfUEKpawY9cCF56dmErwv0toXK3Id+epXNKBy24jCLg2n3v7J9ChcdkEZVxaV+Hh4Un4X53PhY3DKFXQ6v/Yu+uwqJb/geNvQKRBQgWVkgYRxcRAwQ7sunZ3d1zF9uq1u68Y2N3d174mIrZYqCygooDU74/FhYVdxPtl4cpvXs9znkeXOWfnc2bOnNiZOarIvkJPLxzk6ORu7B3RjDPzhhHx4mGW1nv1zzl2D/Hj8pqpStPc3LaE3UP8eHx2b3ZlN1PPLhzk+NTuHBjVnHMLhhMZmrVYXt88x75hjbi6dprc5zc3z2ffsEZyy6WV/qrIukI7twbSrEEtqlcsTfeObbh/706m6U8dP0qbZg2pXrE07Vs14e8L8u1acnIyq5Ytwq92Nap7eTKwdzdehr5QZQhy9u3cQsfm9WjoU46BPdrx4H7m7fS5U8fo9ltjGvqUo1eH5lz9+7zc3+tU9lC4bN+0ToVRSO3cFkiLhrXw9SpNjyyWTdtmDfH1Kk3HVk24lK5szp46zpC+PajvW4kqZdx4FBKsyuxnkJyczMqli2hQy5tqFUvTv1fXLJ1zdmwNpEn9mnhXKEXXDq0JSrcf9uzcRp/unfCtUo6KpV35/PmTiiKQt2/nFjo2q0fD6uUY2D2Lda1NYxpWL0ev9grqWiUPhUuO1TW/WvhWKk2PTlmoayeO0rZ5Q3wrlaZjayV1rV8P6teoRJWyOV/X8lI7AHBg1xa6tKxHkxrlGdKzPSE/iOf86WP0ateEJjXK07dTC65dko8nMkLC3Gnj6dCkFs1qVmT8sL68fpkz7XReK5u81k7ntWuCf/v9P9oPcXFxzJ4xhbo+lahRuSxjhw8iQhKuqjAEFZs7dy49evSgS5cuuLq6snz5cnR1dVm7dq3C9H///TeVK1embdu22NjYULt2bX777bcf9rJM76d7TNatW5e3b9/y/PlzDh8+jI+PD4MGDaJhw4YkJCT87OayXXx8fK5t786dO0RGRlKtWjXZZxcuXCAmJoYWLVoQEBDww218+/Ytw2eJiYkkJSVhZGSUow+elNHQ0MDc3Jx8+cS7k/4tfX19TE1Nczsb/9qp40dYtuBPOnXrzcqAbdjZOzJyUC8iIyQK09+7c4sp40dR368Zq9Zvp4q3L+NHDuLZk0cZ0p4/c5L79+5gVrCQqsOQs37darYGbmT0uIms3bAVHR1dBvbtQVxcnNJ1jh89xPw5M+neqx/rN+/EwdGJgX17EJGyH8I/vCf8w3sGDR3J5h37mDB5OpcunmfqpN9VFkfw5TOcDlxB5abt6TRlGQWtirNt1hi+fIxUmF5b3xCvRm1pP2EBnaevoIR3HQ6tms2zO9cypH14/QJvHwejb5xzdVdPR4u7D18zeMbWLKW3LmLK7kW9OXf9IRXa/MHiwNMsm9CWml4usjQtansyc1hTpq04jFfbmdx5+Jp9S/tR0FhfVWHIvLp5nrt7VuNc5zd8hs3HqIgtf6+YQNznqEzX+xLxjrv71mJa3E1pmjd3LhH5IgRtI5NszrVir2+eJ2jfGpxqt6HakHkYFbHh8kr/H8byNeIdQfv/wqS4q8K/F3L2pLZ/gGwp036ECnKf0Ymjh1k4dxZde/blr8Dt2Ds4MaRfL9nxnN7d2zfxHzsCv8bNWBe4A+/qvoweOoAnj1PbtY0Ba9i+eRMjxvqzOmAz2jo6DOnXM9N2JbucOXGElYtm065rL5as3UJxeyfGDe1DVKTieILu3mLGxNHUbdiUpX9tpVJVHyaNGczzp6nxbN53Um4ZOnYSampqVKleU6WxnDx2mMVzZ9GlZ1/WbNqOvaMTQ/srP+fcvX2TSeNG0LBJM9YG7qBqdV/GDBvA0zRlExMTQ8lSpekzYKhK867MhnVr2LZ5I6PG+rN6/RZ0dHQY/IO6cfzoYRbMmUn3Xn0JCNyBg6Mzg/v2lKujsbGxeFWqQueuPXMiDCClri1MqWt/pdS1IX2IUlI+QXdvMcN/NHX9mrJ03VYqefswafRgnqe5Jti8/6TckqN1bd4suvToy5qNKXVtQBbqWuNmrN2UUteG/3fqWl5qBwDOnTzKqsVzaNu5FwtXb8bW3pHxw/oSFRmhMP39u7eYNWkMtRs0YeGaLXhV9WHq2CE8f/oYkD6omTp2CGFvXzN+xjwWrt1CIXMLxg3pTWxMjEpjyWtlk9fa6bx2TfBvvz8r+2HhnJlcPH+GqTPnsmRVAB8+fGDM8EE5ENGvJTeHcsfFxfHp0ye5RVG5f/v2jRs3blCzZmqboa6uTs2aNbl06ZLCuCpVqsSNGzdkDyKfPn3KoUOHqF+//k/tn59+MKmlpYW5uTlFixbF09OTsWPHsnfvXg4fPizXmy8qKoru3btTsGBBDA0N8fX15fbt27K/fx/KumLFCiwtLdHV1aVVq1Z8/PhRlubatWvUqlULMzMzjIyMqFatGv/8849cftTU1Fi2bBmNGjVCT0+PHj164OPjA4CxsTFqamp07twZUDxsuVSpUkycOFHp9qZNk/bm2Lt3L56enmhra1O8eHEmTZqU4UHs3r17qVu3LpqamrLP1qxZQ9u2benQoYPCp8w2NjZMmTKFjh07YmhoSM+ePWU93/bt24erqytaWlqEhobK9V5cuXIlRYoUydBTtXHjxnTt2hWAJ0+e0LhxYwoXLoy+vj7lypXL0JszMxMnTiQgIIC9e/fKKvWZM2cyDOX+3kP16NGjlC5dGh0dHXx9fXn//j2HDx/GxcUFQ0ND2rZty9evX2XbT0pKYsaMGdja2qKjo4OHhwc7duzINE9xcXGMGjUKS0tLtLS0sLe3Z82aNbK/nz17lvLly6OlpYWFhQWjR4+WK6fq1aszcOBARo4ciYmJCebm5nLl37ZtW1q3bi33nfHx8ZiZmbF+/fos5fv7/jh58iRly5ZFV1eXSpUqERISIrdv0w/lXr16NS4uLmhra+Ps7MzSpUtlf/u+z3ft2oWPjw+6urp4eHjIGogzZ87QpUsXPn78KCurtHFlt+2b19OgcXPq+TXFprgdQ0dPQFtbh8P7dytMv3PrRspXrEybDl2wti1O194DcHByZff2zXLpPrx/x8LZ0xk3+Q80cvDBd3JyMls2radrj95U86mBg6MTE6f8QfiH95w9rfyYCdwQQJNmLfFr0ozidvaM/n0i2tra7N8j7U1oZ+/IzDkLqVrNh2KWVpQrX5E+/Qdz/uxplf2Qc/3wTkpWr4e7d13MilpTp8sgNLW0uHvuqML0Vi4eOJatgmlRa4wLF6FsnWYUtCzOq4dBcuk+R4RzYv0SGvYZg7pGzpXNsYv3mbT0APtOZ/4r9Xc9WlTh+WsJo+fuJuTZO5ZvPcfuk7cY0M5HlmZge1/+2vU3G/Zd5sHTMAZM20JM7Dc6NfFSVRgyj8/swcarDtYVamJobkWpln3RyK/F8yvKe6kmJyVyfcMcXOq2Rc+0sMI0MVESbu9aQdn2w1BXz5nyeXJuL1YVa2NVviYG5laUbN4XDU0tQq8qP2aSkxK5sWkOTnV+Q8/EXGEadQ1NtA2NZUt+XdU/MAbYsimARk1b0LBxU2yL2zNynD9a2toc2Ku4d/C2wI1U8KpCu05dsSluR8++A3FydmXn1kBA2q5sC9xA5+698K7ui72jExMmzyD8w3vOncneHvOK7Nq6gbp+zajToAnWtnYMHPE7WlraHD2wR2H6Pds2UbZCJVq264yVTXE69eyPvaMLe3dskaUxMTWTWy6dP4OHZzksihZTaSxbNgbg17QFDRpJy2bEWH+0Mymb7ZulZdO2Y1dsbO3o0Xcgjs6u7NwWKEtTt0EjuvTsS9kKqj/u00tOTmZr4Hq69OiFd8o5xz/lnHPutPK6sXnjOho3a0nDxs2wtbNn1LiU/bAndT+0adeRjl174FbSIydCAWDXlg3UbdSMOg1T6trIf1HXnFzYu/M/UNc2BeDXJE1dG5Oyj/cpqWtb0tW1PkrqWo++lC2f83UtL7UDALtT4qnVoAlWtnb0H/472traHDuoOJ59OwIpU74SzdtK4+nQvR92ji4c2CWN583LUB4E3aHfsLE4upSgmJUN/YaN41tcLGdPHFZpLHmtbPJaO53Xrgn+7ff/aD9Ef/7M/j07GTB0JGXLV8TZ1Y1xE6dy9/Yt7t25rXS7Qs6aMWMGRkZGcsuMGTMypAsPDycxMZHCheXvNwoXLqx09G/btm2ZPHkyVapUQVNTEzs7O6pXr67aodzK+Pr64uHhwa5dqQdqy5YtZQ+mbty4gaenJzVq1CAiIvUXrcePH7Nt2zb279/PkSNHuHnzJn379pX9/fPnz3Tq1IkLFy5w+fJlHBwcqF+/Pp/TDYOcOHEiTZs25e7du0yaNImdO3cCEBISwtu3b1mwYMFPxZN2e127duX8+fN07NiRQYMGcf/+fVasWMG6detkDy2/27dvH40bN5bL//bt22nfvj21atXi48ePnD9/Pv3XMXv2bDw8PLh58ybjx48H4OvXr8ycOZPVq1cTFBREoULyvcdatmyJRCLh9OnTss8iIiI4cuQI7dq1AyA6Opr69etz8uRJbt68Sd26dfHz8yM0NDRL+2H48OG0atVK1kv27du3VKpUKdP9tnjxYv7++29evnxJq1atmD9/PoGBgRw8eJBjx46xaNEiWfoZM2awfv16li9fTlBQEEOGDKF9+/acPXtW6Xd07NiRzZs3s3DhQoKDg1mxYgX6+tKb1tevX1O/fn3KlSvH7du3WbZsGWvWrGHqVPlhjwEBAejp6XHlyhVmzZrF5MmTOX5c+lCgXbt27N+/n+joaFn6o0eP8vXrV5o2bfpT+R43bhxz5szh+vXr5MuXT/bAWJFNmzYxYcIEpk2bRnBwMNOnT2f8+PEZetmOGzeO4cOHc+vWLRwdHfntt99ISEigUqVKzJ8/H0NDQ1lZDR8+XOn3/S/i4+N5+OA+ZcpXlH2mrq6OZ7mKBN1VfAK6f/c2ZcpVlPusXMVKcumTkpKYMXEsrdt3wba4vUryrsyb16+QhIdTPs2Fj76BAW7uJbl7W3FM8fHfeBAcRLk066irq1Oughd379xS+l3R0Z/R09dXSY/jxIR4wp4/xMbNU/aZmro61m6evHl8/4frJycn8yLoHyLfvsLSyT3186QkDi6fSfkGLTErZpPt+c5OFTxsOX0lRO6z438HU6GkLQCa+TQo7WLJqTRpkpOTOXUlhPIpaVQlKSGeqFePKeiY+sBATV2dgg6liHgRonS9B0e3oGVghE3F2gr/npyUxPVNc3HwaYahRc4MSU9KiOfjq8cUdCgl+0xNXR0zRw8iXyifOiDk2Fa09AtgXUFxLADhT+5xxL8DJ//ow+0dS/n2RfVDUePjvxESfF/u5kd6PFdUemF97+4tylWQb9cqeFXmXsrx/71dKZsmjb6BAa4lSqr8Yj0+Pp5HIcF4lpNvp0uXrah0KFpw0B1Kl5WPp0yFSgQHKU4fGSHh6t/nqdOwafZlXIH4+G88fHBf7qGOuro6ZcsrP+fcu3NLbr+DfNnktu91o1z6c06JkkrPH9/raNo6l5VzjqrJ6lrZdHWtXCZ17d4dSpdTUNeUpJfVNb8cqmsVFNQ1Ze3AnVuULa+grt29pcqsZkleagdAGs/jh8GUKpM6PYu6ujqlylbggZL8Pbh3h1Jl5adz8SzvxYOU+OPjpSPV8ufXktumZv78BN25md0hyOS9sslb7XReuyb4t9+flf3wIDiIhIQEufOZjW1xCptb/CfK8j9FLfeWMWPG8PHjR7llzJgx2RLWmTNnmD59OkuXLuWff/5h165dHDx4kClTpvzUdrLtztjZ2Zk7d6QN44ULF7h69Srv379HS0va0M+ePZs9e/awY8cOevaUDi+JjY1l/fr1FC1aFIBFixbRoEED5syZg7m5Ob6+vnLfsXLlSgoUKMDZs2dp2LCh7PO2bdvSpUsX2f+fPXsGQKFChf7V0Of02+vatSujR4+mU6dOABQvXpwpU6YwcuRI/P2lc1+9fv2aO3fuUK9ePdl6W7ZswcHBATc36dC7Nm3asGbNGqpWrSr3fb6+vgwbNkz2//PnzxMfH8/SpUvx8FD8i7exsTH16tUjMDCQGjVqALBjxw7MzMxkPUY9PDzk1p8yZQq7d+9m37599O/f/4f7QV9fHx0dHeLi4jA3V9yzJa2pU6dSuXJlALp168aYMWN48uQJxYsXB6BFixacPn2aUaNGERcXx/Tp0zlx4gReXtKGrHjx4ly4cIEVK1bIDYf/7uHDh2zbto3jx4/Luhd/3zbA0qVLsbS0ZPHixaipqeHs7MybN28YNWoUEyZMQF1d+hy+ZMmSsnJzcHBg8eLFnDx5klq1alGnTh309PTYvXs3HTp0AKQTujZq1AgDA4Ofyve0adNk/x89ejQNGjQgNjYWbW3tDLH5+/szZ84cmjVrBkjnKv3+EPx7vQPpw+IGDRoAMGnSJNzc3Hj8+DHOzs4YGRmhpqb2w7KKi4vL0HU7Lk5Ndqz+yMeoSJISEzE2kR/Oa2xiSuiLZwrXiZCEK0wfmWb+kc3r16KhoUHz1u2ylI/sJAmX5sMk3fB6ExMzJJIPCteJiowiMTEx4zqmprx4rng/REVGsnbVMpo0a5UNuc7o6+ePJCcloWtkLPe5nqExEW9eKl0v7usXlg5sQ2JCPGrq6tTqNBAb9zKyv185sBV1DXXK1Fb9xe3/qrCpIe8i5H+8eh/xCSMDHbS1NDE21CVfPg3ep08j+YSTjeLeiNkl7ssnkpOS0DKQLx9tgwJEv3+lcJ3wp0E8v3Ic3+HKf2B7eGon6urq2Hn7ZWt+M/NNFksBuc+19AsQ/f61wnUkT+8TevU41YYqj6WQsycW7l7omhbmS3gYwYc3cHnVJKoOnIWaukZ2hiAnKirleDZJ3wYoP54l4eEYpzv+jU1NkUikw5u+z69kYmImv01TUyLCVTv30qeUdrqAgnb3ZajieCKz0E6ndfzwPnR0dalSrUb2ZFqJj1E/39YqO+dESBQPwctpsnOOgrohUbK/ZeecdOsYm5ry/PlT1WQ0CzKta0quCSIl4RinmxLE2DiTunYoh+vaT7QD/+W6lpfaAYBPHxXHU8DYlJdK5meNjAjPmN7ElMgIaTzFrG0oWNiCdSsW0n/EeLS1ddizbSPh798pjTk75LWyyWvtdF67Jvi335+V/RAhCUdTUxMDA8MM21V2PhNynpaWVpbu9c3MzNDQ0ODdu3dyn797907pM4bx48fToUMHunfvDoC7uztfvnyhZ8+ejBs3TvYM5key7a3cycnJsleR3759m+joaExNTdHX15ctz54948mTJ7J1rKysZA8lAby8vEhKSpINeX337h09evTAwcEBIyMjDA0NiY6OztDjr2zZstkVhsLt3b59m8mTJ8vF0qNHD96+fSsbmrxv3z6qVKki9yB07dq1tG/fXvb/9u3bs3379gw9PhXlP3/+/JQsmflLHtq1a8fOnTtlD5k2bdpEmzZtZIUfHR3N8OHDcXFxoUCBAujr6xMcHJzlHpM/K21+CxcujK6urtyDw8KFC8ve5vT48WO+fv1KrVq15Pbr+vXr5epIWrdu3UJDQ0PhQ0uA4OBgvLy8ZPUQoHLlykRHR/PqVepNf/r9amFhIctXvnz5aNWqFZs2bQLgy5cv7N27V9YL9WfynfZ7LCwsABS+zerLly88efKEbt26yW1z6tSp/3qbmVHUlXvxvFk/tY3sFhIcxM6tGxk1Yapc+anKkYP7qeZVRrYkJGTv3LSKREdHM2RAb2yL29Ozdz+Vf9/PyK+tQ+dpy+kwaTFVW3ThdOByQoOlv4SGPXvIjWO7qddzRI6UjZAqPvYrNzbNpXTr/mjpGylME/nyMU/O7cOz7eD/dPkkxH7l5ua5eLTsj5a+odJ0RUt7Y16iAoYWNli4V6RCt/FEvXxE+ON7OZhbISuOHtiDb+365M/ij1r/nx05tB+fSmVky39hTvZfydEDe/CtI+raf9Gv3g7ky6fJuGlzeP3yBW3qe9OsVkXu/HONshUro5bFm+n/ql+9bIT/zdFDB6hRuaxsEecdISvy589PmTJl5F7Sm5SUxMmTJ2WdstL7+vVrhoePGhrSzgTJyclZ/u5s6zEZHByMra10GFx0dDQWFhacOXMmQ7qf6cHYqVMnJBIJCxYswNraGi0tLby8vDK8IEZPTy9L21NXV8+wcxS93Cb99qKjo5k0aZKsN1ta33u/7du3j0aNGsk+v3//PpcvX+bq1auMGjVK9nliYiJbtmyhR48emeZfR0fnhzeZfn5+JCcnc/DgQcqVK8f58+eZN2+e7O/Dhw/n+PHjzJ49G3t7e3R0dGjRooXCF+xkh7Rza35/c3taampqsjkxvw+VPnjwoNzDaUDp03wdHZ1sz2f6fIH0gW+1atV4//49x48fR0dHh7p16/50vtPvD0Dh2+u/b3PVqlVUqCA/3OT7Qf2z28zMmDFjGDpUfhJpSUzWH2gYFTBGXUMjw2TWkRGSDL+ofWdiaqYwvbGp9Fe7u7f+ISoygtaNU4d3JiUmsmzhbHZs3ciWPYrnR/y3qlb3xc099SHv92MiQiKRe+lOREQ4jo4uGdYHKGBcAA0NjQy/7EZIJJiayf8a+eXLFwb17YGuni6z5i4iX7o6mF10DYxQU1fna7oX3Xz5FIleAWMla0mH4BoXltbnwtb2SN6Ecnn/ZqxcPHgVco8vn6JYPji1J2tyUhKnA1dw/egues/bqJJY/q13kk8UNjGQ+6yQiSEfP8cQGxdPeGQ0CQmJFEqfxtSQMIlqhwxr6Rmipq5O3Gf58on9HIWWYcby+SIJ42vEey6vTh0K8f0ctmdYY2qOWY7kaRBx0R85Ojl1qojkpCTu7l3Lk7P7qDNhTYbtZof8slii5D6Pi45CO10vyrSxXF2bMZb9I5rgO2oZemYWGdbTMzUnv54hXyRvKYjq5swrUCDleE7XTkVESDAxNVO4jqmZGZHpjv9IiUT2YrPv60VEhGNWsGDqNiUSHJycszP7GRimtNPpXz4SGSHB2ERxPMY/aKfTunvrH16FPmfsZNX/qGVUIOtt7XfKzjnpe/PklKrVfHErkXrO+T589GfqhuycEyHfA0Va5xTvh5zwr+tauhd8REb+oK5NycG6pqAdULaP/2t1La281A4AGBopjidKSd0BMDYxy5g+XfwOTq4s/msbX6I/kxAfj5GxCUN6tsfBWfEL2rJDXiubvNBOp5UXrgmqVPPBrUTqtEzfUp55/NR5Jwv7wcTUjPj4eD5//iTXazIil89N/0X/5Q4EaQ0dOpROnTpRtmxZypcvz/z58/ny5YtsRHHHjh0pWrSobI5KPz8/5s6dS+nSpalQoQKPHz9m/Pjx+Pn5ZXiWkZls+Sno1KlT3L17l+bNmwPg6elJWFgY+fLlw97eXm4xS9M4hYaG8ubNG9n/L1++jLq6Ok5OTgBcvHiRgQMHUr9+fdzc3NDS0iI8C12d8+fPD0gfAqZVsGBB3r59K/v/p0+fZMO+M+Pp6UlISEiGWOzt7VFXVyc6OprTp0/LzS+5Zs0avL29uX37Nrdu3ZItQ4cOlXtZy/9CW1ubZs2asWnTJjZv3oyTkxOenqlzy128eJHOnTvTtGlT3N3dMTc35/nz5z/1Hfnz58+wH7ND2pf6pN+nlpaWCtdxd3cnKSlJ6RyULi4uXLp0Se7h88WLFzEwMKBYsaxP+lypUiUsLS3ZunUrmzZtomXLlrIHgv8m3z9SuHBhihQpwtOnTzNs8/vD/qzIallpaWlhaGgot2R1GDdIH446Orvyz7Urss+SkpL459pl3NwVPzhwdffgn+tX5D67cfWSLH2t+n6s2bST1Ru2yxazgoVo3b4zsxYsz3LeskpPTw9LK2vZUtzOHlMzM65dvSxLEx0dTdDdO7grmU5BUzM/zi5ucuskJSVx/epl3EuWktvOgD7d0NTUZM78pT+1r3+WRj5NzG0ceXE/dV6k5KQkXgTdpIj9T1xgJyeTmHIB41a5Jl2mraDz1OWyRd/YlPINWtJyZMZJk3PbldvPqF7eSe6zGhWduXJH2tbHJyRyM/glPhVS06ipqeFT3pGrd358PvhfqOfTpEAxez48TJ0PKjkpiQ+PbmNi7ZQhvUGhYtQYuRjf4Qtli4VbeQrau+M7fCG6BcywLOtDjRGL5NJoG5ng4NOUSr0nqTQWo2L2hD9KnZcoOSmJ8Ed3MLbOeIGrX6gY1YcvotrQBbLF3LU8ZnbuVBu6AJ0Cii9eY6LC+fb1M9oGyh+sZwdNzfw4ubhyI8PxfIUSSl4iUsK9FNfTpAe4euUSJVKO/yJFi2FqZsb1q6lt35foaO7fu6N0m9lFU1MTBycXbl6Xb6dv3biCawnFozFc3Epy64Z8O/3Ptcu4uGVMf/TAbhycXLFzyFhvs5umZn4cnV25cU2+bG5cu6L0nFOiZMayuZambHJa+nOObfGUc86V1Dx+iY4m6N4dufNHWt/raNp1kpKSuJbunJPTZHXtRrq6dj2TulaiJLfSXRP8c/UyLgrSHz2wGwfnHK5rVxXUNWXtQMlSXL+moK65l1JlVrMkL7UDII3H3tGFWzeuyj6TxnMVZwX5A3AuUZLbadID3Lx+GWcF8evpG2BkbMLrly94HHKfilWqZ2v+08p7ZfPrt9Np5YVrAj09PYpZWcsW2+J2P/39WdkPzi5u5MuXTy72F8+f8S7s7X+iLIWf17p1a2bPns2ECRMoVaoUt27d4siRI7IX4oSGhso9U/v9998ZNmwYv//+O66urnTr1o06deqwYsWKn/ren+4xGRcXR1hYGImJibx7944jR44wY8YMGjZsSMeOHQGoWbMmXl5eNGnShFmzZuHo6MibN284ePAgTZs2lQ1d1tbWplOnTsyePZtPnz4xcOBAWrVqJRu/7uDgwIYNGyhbtiyfPn1ixIgRWeo1Z21tjZqaGgcOHKB+/fro6Oigr6+Pr68v69atw8/PjwIFCjBhwoQsPcWdMGECDRs2xMrKihYtWqCurs7t27e5d+8eU6dO5ciRIzg6OmJjYwNIe2Fu2LCByZMnU6JECbltde/enblz5xIUFCSbe/J/0a5dOxo2bEhQUJDcsHGQ7r9du3bh5+eHmpoa48eP/+nedTY2Nhw9epSQkBBMTU0xMlI8nPBnGRgYMHz4cIYMGUJSUhJVqlTh48ePXLx4EUNDQ7l5FdPmpVOnTnTt2pWFCxfi4eHBixcveP/+Pa1ataJv377Mnz+fAQMG0L9/f0JCQvD392fo0KFZntvgu7Zt27J8+XIePnwo94Khf5PvrJg0aRIDBw7EyMiIunXrEhcXx/Xr14mMjMzQu1EZGxsboqOjOXnyJB4eHujq6qKrq/uv8vMjLX/ryB+Tx+Ho4oaLqzs7tmwgNjaGug2bADB94lgKFixEj36DAWjeuj2De3dh26YAKlauyqnjRwgJDmLYGOlcn0ZGBTAyKiD3HRr58mFiYoaVtWpfSALSB1Nt2nVk7arlWFpZU6RoMZYvWYhZwUJU86kpS9e3Zxeq+9akVRtp78G2HToxafwYXFxL4FbCnS2b1hMTE0PDxtK5GKOjoxnYpxuxsbFMnjaL6C/RRH+R9pA1Njb5qV+RsqpsveYcWjkLc1tHLIo7cf3obuLjYnH3rgPAweUz0Tc2o1rrbgBc3rcZc1tHChQuQmL8N57cvkrQxRPU6jwQAB0DQ3TSzRujrpEPPSMTTC3+3cP4n6Gnkx87y9Rfdm2KmlLSsSiRn77yMiySyQMaUaSQEd3HbwBg1Y4L9G7jzbRBjQnYe5nq5RxpXqs0TQemPuBeuPEUqyZ34Mb9UK7fe07/tj7o6mixfu/lDN+f3eyrN+FG4DwKWNpjbO3Ik7N7SfwWi3UFaT27vmkuOkamuDXshIZm/gwvs9HUkfaw//65Vj5NtPTSlY96PrQNjTEopNq3cNp5N+bmlvkYWdpjbOXI03P7SPwWi2V56XxW/wTOQ9vIBNcGWYslIS6GkGNbsCjphbaBMV/Cw7h/cB16phYUdPZE1dq068RU/7E4u7rh6ubO1sANxMbE0LCR9HiePH4MBQsVos+AIQC0atuevj06E7hhHZWqeHPi6GEe3L/HqN8nAtJ2pVXbDgSsXoGllRVFihRj5bJFmBUshHd11c/51ax1B2ZPG4+jsxtOriXYvW0jsbEx1G7QBIBZU8ZhZlaIrn0GAdCkVTtG9OvGjs0BlK/kzdkTR3j0IIjBo8bLbffLl2jOnT5Gz/7D0n+lyrRp34lp/mNxdnHDpYQ72wI3EBMTQ4OUspkyYQwFCxaid0rZtPytPf17dGbz97I5Ji2bkeMmyrb56WMU78LeEv5BOo9waMocdSamZpiaFUSV1NTUaN22I+tWr5Cdc1YulZ5zvH1S60b/Xl2o5lOTlinnnN/ad2bKBOk5x7WEO1sD1xMbE0ODxqnz/0rCPyCRhPMqZdqeJ48eoqunR2Fziwzn2ezSrE0HZk9NU9e2ptS1lGuCWZPHYVYwXV3r240dgVmoa6eO0XNADta1dp2YNlHaDri4palrfmnqWqFC9O6fUtfatKd/z85s3ijfDowcO1G2zdysa3mpHQBo2roDc6ePx8HZFUeXEuzdvonYmBhq1Zd2Dpkz9XdMzQrRubf0GqZRi7aMHtCdXVvWU86rKudOHuHxg/sMGDFBts3zp49hVMCYgoUteP7kESsXzqJiVR88yyt/4Wd2yGtlk9fa6bx2TZDV7x/QqyvVfGrQIuW886P9oG9ggF+T5iycMwtDQyP09PSZO2s6JUqWUvmPsL+aX6XHJED//v2VvpMk/ajofPny4e/vL3uHx7/10w8mjxw5goWFBfny5cPY2BgPDw8WLlxIp06dZA9/1NTUOHToEOPGjaNLly58+PABc3NzvL295V49bm9vT7Nmzahfvz4RERE0bNiQpUuXyv6+Zs0aevbsiaenJ5aWlkyfPj1LbxouWrQokyZNYvTo0XTp0oWOHTuybt06xowZw7Nnz2jYsCFGRkZMmTIlSz0m69Spw4EDB5g8eTIzZ85EU1MTZ2dn2QSfe/fulRvGvW/fPiQSiewtzmm5uLjg4uLCmjVrmDt37g+/+0d8fX0xMTEhJCSEtm3byv1t7ty5dO3alUqVKmFmZsaoUaP49Onnhir26NGDM2fOULZsWVnP0O8PYP9XU6ZMoWDBgsyYMYOnT59SoEABPD09M321/LJlyxg7dix9+/ZFIpFgZWUlS1+0aFEOHTrEiBEj8PDwwMTEhG7duvH777//dN7atWvHtGnTsLa2lr3Q53/J9490794dXV1d/vzzT0aMGIGenh7u7u4MHjw4y9uoVKkSvXv3pnXr1kgkEvz9/Zk4ceK/zlNmfGvV5WNUBOtWLiFCEo6dozMz5y+Xdet//+4t6uqpjW+JkqX4fcofrF2+mNXLFlDU0popsxZga+egkvz9Gx07dyc2JobpU/yJ/vwJj9KeLFi6Uq6H4+uXoURFpg7DrVWnPpGRkaxcthBJeDiOTi4sWLpSNnQhJPg+9+5Ke8c186sj9317Dp6gSLrpALKDS8XqxHyO4sLOAL58jKSQlR0tR0xHL+WFOJ8k7+VOjPFxsRwLWEh0RDj58mthYmFJg96jcalYPdvz9m94ulpzbPUg2f9nDZf2zN+w7zI9/TdibmaIpbmJ7O8v3khoOmA5s4Y3o1/b6rx+F0WfyYGcuBQsS7Pj2D+YGeszoU8DCpsacCfkNY37LcnwQhxVKFa6KnHRHwk+som4T5EYFS1OpV6TZD0CYyI//DIXLkVLV+Xbl4+EHA0k7lMkhkWLU7HHxNRYon4uFjV1dT69ec7L66eIj/mCtqEJhZxK4VS3HRr5VDP9QVo169QjKjKCVcsWEyEJx8HJmbmLV8jatXdh8u2au0dpJk2bxcqlC1mxeD7FrKz5Y+4i7OxT27X2nboRGxPDzKkTif78mZKlPJm7eIVKe05/V71mXT5GRbJ+9VIiI8Ip7uDEtDlLZS8b+PAuDHW11B/t3NxLMXriDAJWLmbdikUUKWaF/4z52BSXb6fPnjgCyeBTqx45pUZtadmsXi4tG3tHZ+YsSlc2avJl4z9tFquWLWTlEmnZzJiziOJpyubC2dNMn5R6feA/Rnp92aVnX7r1Uv08wB06S+vGH1P9ZXVj/hL5c86rly+Jikp7zvleRxchSamj85askBsut2vHVtasSL2W7t1N2mng90nTZDeS2U1W11alqWtz09U19XR1bVK6uvbHfGzSXROcPf4frWvqCura0pS6ZmnNjNnp6tq5dHVtbEpd66H6upaX2gEA7xp1+BgVycY1y6Tx2DsxeXbaeN7KnXdc3Usxwn86G1YtIWDlIooWs+L36fOwKW4vSxMpCWf14jnSId6mBalRtyFtOvVUeSx5rWzyWjud164Jsvr9r1+9JCoqSvb/H+0HgIHDRqGmpsbYEYOJ/xZPBa/KDB/z8/ffwv9vask/MyNlNpo4cSJ79uzh1q1bufH12SYhIYHChQtz+PBhypcvn9vZEYR/5U2UauYdzQ16Wtk2de5/wo67it/W/Kvq3yt3X7SUnQZNG5jbWchWiUm5cjmgMqN97HI7C9nmc0zemrReTztvtdP51H+NHxOy4mOM6l8Gl5P08uetuvYlLu+0BQl57JyTl9oByFvtdB4rmjzHVC/v1LXMmPfYkWvfHbaqRa59d1b9/6gFKhQREcGQIUMoV65cbmdFEARBEARBEARBEARB+A/5VUZE5RbxYPJ/VKhQoX81VFgQBEEQBEEQBEEQBEEQ/j/Llrdy/xsTJ0785YdxC4IgCIIgCIIgCIIgCIIyampqubb8CnLtwaQgCIIgCIIgCIIgCIIgCP9/iaHcgiAIgiAIgiAIgiAIgqAKv0bHxVwjekwKgiAIgiAIgiAIgiAIgpDjxINJQRAEQRAEQRAEQRAEQRBynBjKLQiCIAiCIAiCIAiCIAgq8Ku8hCa3iB6TgiAIgiAIgiAIgiAIgiDkONFjUhAEQRAEQRAEQRAEQRBUQPSYzJzoMSkIgiAIgiAIgiAIgiAIQo4TPSYFQUBDPe/8ghP59VtuZyFbzdxxP7ezkK0GTRuY21nINgvGLcztLGSrXhP753YWslV8QnJuZyHbbLr9KrezkK26lbXO7Sxkq7j4pNzOQrbJr5G3+ixEfMlb1wQG2nnn1k0vX96qawmJeacdAEhOzjvnUDW1vFXXRMc7IS/KO2c3QRAEQRAEQRAEQRAEQfgPEUO5M5e3fj4QBEEQBEEQBEEQBEEQBOGXIHpMCoIgCIIgCIIgCIIgCIIqiA6TmRI9JgVBEARBEARBEARBEARByHGix6QgCIIgCIIgCIIgCIIgqICYYzJzosekIAiCIAiCIAiCIAiCIAg5TjyYFARBEARBEARBEARBEAQhx4mh3IIgCIIgCIIgCIIgCIKgAmIod+ZEj0lBEARBEARBEARBEARBEHKc6DEpCIIgCIIgCIIgCIIgCCogekxmTvSYFJT6+vUrzZs3x9DQEDU1NaKiolT+nTY2NsyfP1/2fzU1Nfbs2aPS75w4cSKlSpVS6XcAdO7cmSZNmuR6PgRBEARBEARBEARBEP4LxIPJHNC5c2fU1NQyLHXr1s3trGUqICCA8+fP8/fff/P27VuMjIwUpouJicHf3x9HR0e0tLQwMzOjZcuWBAUF/c95ePv2LfXq1fuft/MrGD58OCdPnsztbGTZrm2badWoNjUre9Kr82/cD7qbafrTJ47SvoUfNSt70qlNUy5dPCf7W0JCPMsWzaVTm6bUrlqOpvV8mOY/hvAP71Udhsy+nVvo2KweDauXY2D3djy4n3k8504do1ubxjSsXo5e7Ztz9e/zGdKEPn+K/8iBNK1VmUa+FRjQtS3vw96qKgSZdl5WnBpdjbvTarG9f0VKWio+dgE29CrPw1l1Mywru3jK0tQuUZi13ctyxd+Xh7Pq4mJhoPIY0np64SBHJ3dj74hmnJk3jIgXD7O03qt/zrF7iB+X10xVmubmtiXsHuLH47N7syu7SlX2tGPH/F48PTaNmJuL8ate8ofrVC3jwN+Bo4i6Mo97e/1p71chQ5perbx5cHASkZfncW79cMq6Wasi+wpVsS3AhFp2/NnQkSHe1lgV0M7SeqWLGjC/sTPdyhfN8LfC+vnpXr4oM+o7MLOBI0O9rSmgkzMDPHZv30zrxrWpVcWT3l1+IzgL7VqHln7UquJJ59+acjlNuwbw18oldGjpRx3vcjSoUYmh/bpz/94dVYYg58HZA+z8vQsbBzbh0KwhhD8PydJ6z66fZX3fBpxePkXu8+TkZG7t38D20e3ZNKgpxxaM5dP716rIegZ5rWz27NhM2yZ1qOtdhn5d2/LgB/GcPXmUzq39qOtdhu7tmnLlb/l4Zk4eR42K7nLL6MG9VRmCnN3bN9OmSR1qVy1Dn65tf1g+Z04epWMrP2pXLUPXthnLJ625f0zGp4I7OzZvyO5sK3Rw91a6t65P81oVGN67Aw+D7ylNG/rsCTPGD6N76/o0qlaavds3ZUhz7/YNpoweROdmtWhUrTSXz59WZfYzyEtlA7BzWyAtGtbC16s0PTq2+eFxe+r4Udo2a4ivV2k6tmrCpQvy8Zw9dZwhfXtQ37cSVcq48SgkWJXZlyNt1+pQq0oZ+nTJQtnI2rUydFHQrqU1Z8Zkqpd3Z3sOls2ubZtp6VebGpU86dnpN+7f+3E73a65HzUqedKpdVO5sklIiGfZwrl0at2UWlXK0aSuD1Mn5Oy9QXJyMiuXLaJhbW+qeZVmQO+uvAx9/sP1dmwNpGmDmlSrWIpuHVsTlK6O7tm5jb49OlGjajm8PF35/PmTiiKQl5yczMqli2hQy5tqFUvTv1dXQl88/+F6O7YG0qR+TbwrlKJrB8Xx9OneCd8q5ahYOufiEfIW8WAyh9StW5e3b9/KLZs3b87tbGXqyZMnuLi4UKJECczNzRV2P46Li6NmzZqsXbuWqVOn8vDhQw4dOkRCQgIVKlTg8uXL/1MezM3N0dLS+p+28avQ19fH1NQ0t7ORJSePHWbJ/Fl07t6H1Ru2Y+/gxPABvYiMkChMf/f2TSb/PpIGjZuyeuN2qlbzZdzwgTx9/AiA2NhYHj24T6duvVi9YRtTZ80n9MVzxgzrnyPxnDlxhJULZ9Ouay+W/LWF4vZOjBvShygl8QTdvcUM/9HU9WvK0nVbqeTtw6TRg3n+5JEszZtXLxnauzOW1rb8uXg1y9fvoG2XnuTPn1+lsdT3MGeMnzOLTzymyYK/efD2M2u6lcVET/H39l9/k0qTT8mW+nMukJCYxOE772RpdPJrcON5JLMPZ+2BYHZ6dfM8d/esxrnOb/gMm49REVv+XjGBuM9Rma73JeIdd/etxbS4m9I0b+5cIvJFCNpGJtmca8X0dLS4+/A1g2dszVJ66yKm7F7Um3PXH1KhzR8sDjzNsgltqenlIkvTorYnM4c1ZdqKw3i1ncmdh6/Zt7QfBY31VRWGTOkiBjRxK8SRkHBmn33O649x9PayRD+/Rqbrmeho0titEE/Cv2b4m6muJgOrWvMu+huLL4Yy6/Qzjj6UkJCYrKowZE4dl7Zrnbr3YdX67dg5ODF8oPJ27d6dm0wZP5L6jZqyakNKuzZiIE/TtAPFrGwYNGIsf23exeKV6zG3KMLwAT2JioxQeTzPrp/j+s5VeDRoS8MxCzEuasuJReOJ+cGxEy15x41dayhkn/HYCTq+g+Az+6nwWz/qj5hLPi1tTiwaT2L8NxVFIZXXyub08SMsX/AnHbv3ZnnANuwcHBk1WHk8QXduMXXCKOr5NWNFwHYqe/syYeQgnqWJB6BcxcpsP3hatoybPFPlsQCcOn6EZQv+pFO33qwM2IadvSMjB2VWPreYMn4U9f2asWr9dqp4+zJeQTwA58+c5P69O5gVLKTqMKTfd+ooa5bMoU2nXsxbFYiNnSP+w/sqrRdxsbGYFylGx54DMTYxU5wmJgZbe0d6DR6jyqwrlJfKBqTXn4vnzqJLz76s2bQde0cnhvbP/Ppz0rgRNGzSjLWBO6ha3ZcxwwbIrj9B2sGiZKnS9BkwNKfCAKRls3T+n3Tu3ptV66XtwIhM27VbTB4/igaNmrF6w3aqVPPl9xGD5Nq1786fzqWymTeLzj36sHqjtGyG/eDeYNI46b3Bmk3bqVrdl7Hp7g0ePrhPp+69WLNxG9P+lN4bjB6aM/cGABsD1rB980ZGjvVnTcAWdHR0GNyvJ3FxcUrXOXH0MAvnzqRbz76sC9yBg4MzQ/r1JCLNfoiNjaVipSp06tozJ8KQ2bBuDds2b2TUWH9Wr89aPMePHmbBnJl079WXgMAdODg6M7hvxni8KlWhcw7H86tR1FEtp5ZfgXgwmUO0tLQwNzeXW4yNjWV/nzt3Lu7u7ujp6WFpaUnfvn2Jjo6W/f3Fixf4+flhbGyMnp4ebm5uHDp0SPb3e/fuUa9ePfT19SlcuDAdOnQgPDw80zzt3LkTNzc3tLS0sLGxYc6cObK/Va9enTlz5nDu3DnU1NSoXr26wm3Mnz+fS5cuceDAAVq1aoW1tTXly5dn586duLi40K1bN5KTpTeU34cyz549GwsLC0xNTenXrx/x8fFK85h2KPfz589RU1Nj165d+Pj4oKuri4eHB5cuXZJb58KFC1StWhUdHR0sLS0ZOHAgX758yXRfAKxYsQJLS0t0dXVp1aoVHz9+lP0tKSmJyZMnU6xYMbS0tChVqhRHjhyRW//u3bv4+vqio6ODqakpPXv2lCvD9K5du0bBggWZOVN645B+KHdW9tfbt29p0KABOjo62NraEhgYmGE4vCpsC1xPwyYtqN+oKTbF7Rg2ZgLa2toc3LdbYfodWzZS3qsyv3Xoio2tHd37DMDR2ZVd2wMB0Nc3YO6S1fjWqouVjS1u7h4MHjGWkOD7vMuBHoa7tmygbqNm1GnYBGtbOwaO/B0tLW2OHtijMP2ebZsoW6ESLdt1xsqmOJ169sfeyYW9O7fI0qxbsYjyXlXo3m8I9k4uFClmiVfV6hQwUe3D5y5Vbdh25SW7rr/myfsvTNgVRGx8Ii3KZeyZBvAxJp7w6G+ypbKDKbHxSRy5EyZLs/efNyw58YS/Hym+uFSlx2f2YONVB+sKNTE0t6JUy75o5Nfi+ZXjStdJTkrk+oY5uNRti55pYYVpYqIk3N61grLth6GunjO98Y5dvM+kpQfYdzprvbJ6tKjC89cSRs/dTcizdyzfeo7dJ28xoJ2PLM3A9r78tetvNuy7zIOnYQyYtoWY2G90auKlqjBkqtubcOnFR66GfuTd529svx3Gt8QkKlgr76GrBrQvY8HhB+FIvmZs+xu4FOT+u2j23//A649xSL7GExQWTfS3RBVGIiVr1/xS2rXR0nbt0P5M2rWKqe1at97Sdm33tkBZmlp1G1C2vBdFilpia2dPv8Ej+fIlmiePVP+QP/jUbhwq18XeqxYFLKyo+Ft/NPJr8/jvY0rXSUpK5Pxff+LRoB0GZuZyf0tOTib41F5K1m2NlYcXxsVsqdJpGF8/RhB6+5KSLWaPvFY2Ozavp37j5tRt2BQbWzsGj5qAlrYORw4ojmfX1o2Uq1iZ1u27YG1bnC69BuDg5MqeHfI/cGvmz4+JqZlsMTBUfixmp+2b19OgcXPqpZTP0NET0NbW4bCS8tm5VVo+bTpI4+naWxrP7u3y8Xx4/46Fs6czbvIfaOTLmXZ677aN1G7YjJr1G2NlY0ffYePQ0tbmxKE9CtM7uLjRpc8QvGvURTO/psI0ZSpWoX33fnh5+6ow54rlpbIB2LIxAL+mLWjQqCm2xe0ZMdYfbW1tDuzdpTD99s0bqeBVhbYdpW1Bj74DcXR2ZWeatqBug0Z06dmXshVUf96Uy1vgeho0yVg2ytq1nVvky6Zb7wE4OLuye1vGslkwZzq/53DZbN20Hr8m38vGjuFZvDf4Xjaye4NtqfcG85bK3xsMGZlz9wbJyclsDVxP5+698K5eA3tHJyZM/oPwD+85d0b5CLfNm9bRqGlLGjZuhm1xe0aO80crXR1t064jHbv0oIS7h8rj+O57PF169MLbpwYOjk74T0mJ53Qm8WxcR+NmKfHY2TNqXMoxtyddPF174FYy5+IR8h7xYPI/Ql1dnYULFxIUFERAQACnTp1i5MiRsr/369ePuLg4zp07x927d5k5cyb6+tIeMVFRUfj6+lK6dGmuX7/OkSNHePfuHa1atVL6fTdu3KBVq1a0adOGu3fvMnHiRMaPH8+6desA2LVrFz169MDLy4u3b9+ya5fiE35gYCC1atXCw0O+IVJXV2fIkCHcv3+f27dvyz4/ffo0T5484fTp0wQEBLBu3TrZd2bVuHHjGD58OLdu3cLR0ZHffvuNhIQEQNrLs27dujRv3pw7d+6wdetWLly4QP/+mf+69vjxY7Zt28b+/fs5cuQIN2/epG/fvrK/L1iwgDlz5jB79mzu3LlDnTp1aNSoEY8eSX/V+/LlC3Xq1MHY2Jhr166xfft2Tpw4ofR7T506Ra1atZg2bRqjRo1Smq8f7a+OHTvy5s0bzpw5w86dO1m5ciXv36t2iEN8fDwPH9ynbPmKss/U1dUpU74iQXdvK1wn6O5typSTv+ArX7GS0vQAX6KjUVNTQ19ftcOG4+PjeRQSjGdZ+XhKl6uodHhQ8L07lC5XUe6zMhUqEZySPikpiauXzlPUypqxg3vTqn51BnZvx99nT6kuEEBTQw23oob8/Tj1AWJyMvz9SEIp6wJZ2kaLcsU4ePstMfGqfxD0I0kJ8US9ekxBx9T2RU1dnYIOpYh4oXxI6oOjW9AyMMKmYm2Ff09OSuL6prk4+DTD0CLnhj3/rAoetpy+Ih/n8b+DqVDSFgDNfBqUdrHkVJo0ycnJnLoSQvmUNKqioQbFjLR5+CH1R59k4OGHr9gY6yhdr46TGdHfErkS+jHD39QAV3M9PkR/o7dXMabUtWeItzXu5qrv/fm9XStTLl27Vu4H7Vp5+XatXCbtWnx8PPv3bEdf3wA7R6fsy7wCiQnxSEIfY+FUSvaZmro6Fs6l+PDsgdL17hzajLZBARwq18nwt2hJGDGfIrFwTt1mfh09Cto48eGp8m3+r/Ja2cTHx/Mw5D6e6eLxLFeR+0ryd//ebbn4AcpWrJQh/e1/rtO8XjU6tfJj/swpfPwYle35T09WPuUzxqNsf9+/mzGe9OWTlJTEjIljad2+C7bF7VWT+XTi4+N5/DCYUmVSp8xQV1fHo0wFHgTl3DD/7JKXygYgPv5byvVn6rGtrq5O2UyuP+/duUXZCvLxVPCqzL07t1SZ1R+Kj48nREm7pqwdkLZr8rGUT9cOJCUlMd1/LG3ad8HWLifLJqWuVZCPp2z5igTdUVY2t+XKEqC8VyXu/QfuDQDevH6FJDyccmkeWOsbGOBaoqTS+hMf/42Q4PuUS7cfylXwyvU6pywetxIlufsv4lG2jpAJtVxcfgHiwWQOOXDgAPr6+nLL9OnTZX8fPHgwPj4+2NjY4Ovry9SpU9m2bZvs76GhoVSuXBl3d3eKFy9Ow4YN8fb2BmDx4sWULl2a6dOn4+zsTOnSpVm7di2nT5/m4UPFv/zPnTuXGjVqMH78eBwdHencuTP9+/fnzz//BMDExARdXV3y58+Pubk5JiaKhzo+fPgQFxcXhX/7/nnaPBgbG7N48WKcnZ1p2LAhDRo0+Ol5FYcPH06DBg1wdHRk0qRJvHjxgsePHwMwY8YM2rVrx+DBg3FwcKBSpUosXLiQ9evXExsbq3SbsbGxrF+/nlKlSuHt7c2iRYvYsmULYWHSXmOzZ89m1KhRtGnTBicnJ2bOnEmpUqVkPRMDAwNl2yhRogS+vr4sXryYDRs28O7dO7nv2r17N40bN2bFihX07Jl5l/fM9teDBw84ceIEq1atokKFCnh6erJ69WpiYmIy3WZcXByfPn2SWzLrwp/ex6hIEhMTMU7X88/ExJQIieJeuhGScEzSDVM3NjFTmj4uLo7li+dRo3Z99PRV+1DiU1QkSYmJGXoyGpuYEhmhOH+RknCMjdOlNzYlMiWeqMgIYr5+ZeuGtZStWJkZ85dT2duXyWOHcufmddUEAhjr5Sefhjrhn+WHVYZHx1HQ4MdTIpS0NMLJwoDtV1+pKos/Je7LJ5KTktAyMJb7XNugAHGfIhWuE/40iOdXjlO6lfIfIx6e2om6ujp23n7Zmt/sVtjUkHcRn+U+ex/xCSMDHbS1NDEz1idfPg3ep08j+YS5qaFK86anlQ8NdTU+xyXIff45LgFDbcU9NGxNdKhobcTWW2EK/66vpYF2Pg1qOJgS/O4Ly/9+yZ23n+lSvih2psofdmYHZe2a8Q/atYzpzYhI1278ff4MdauVo1YVT7Zv3sDsxSspUEC+Tme3uGjpsaNjWEDucx2DAsQqOXbePQ7i8d/H8Go3QOHfYz5K19M2THc8GhYgRsk2s0NeK5uPKeecDPkzNiVCorhXusJ4jOXjL+dVhdETpvHnolX06DeY2zevM2ZIHxITVfsjk9J4TEzlhvqlpbh8Us+hAJvXr0VDQ4Pmrdtlf6aV+PQx5XrAWP6at4CxqdKpXf7L8lLZAHyMiiIxMTHD9aSJqSkSJaPElMWj7FjLKd/LxuQn8hYhCVecPiJd2eTLjbKRttOK8ifJ7N4gw71E5vcGyxbNo2Yd1d8bALJ8m6SboiGz+hb1vY6mXyeT/ZBTvudZYTxK8hYVqTge40zWEYR/SzyYzCE+Pj7cunVLbundO3VS8hMnTlCjRg2KFi2KgYEBHTp0QCKR8PWrdA6ugQMHMnXqVCpXroy/vz937qT+cnv79m1Onz4t99DT2dkZkPYgVCQ4OJjKlSvLfVa5cmUePXr00xex34dqZ4WbmxsaGqnzj1lYWPx0D7+SJVNfGGFhYQEg28bt27dZt26d3L6oU6cOSUlJPHv2TOk2raysKFo0dairl5cXSUlJhISE8OnTJ968eaNwfwUHSyfIDg4OxsPDAz09Pbm/f9/Gd1euXKFly5Zs2LCB1q1b/zDWzPZXSEgI+fLlw9Mz9SUl9vb2clMEKDJjxgyMjIzkloVzc2YeqqxISIjHf8wwkpOTGTZ6fG5n519JTkoCwKuqD83adMDO0ZnWHbtRobI3B3dvz+XcKdeiXDEevP3MnZcZe7P9CuJjv3Jj01xKt+6Plr7iIYyRLx/z5Nw+PNsO/mXmXMkLtPKp097Tgq23wviiZFj29/K4F/aZs08jef0pjpOPIrgfFk1lG9U+LFKl0mXLs3rjTpaslg7DmzhmuNI5t3JLfOxXLgbMwavdQLSVHDt50a9QNlnlW6selbx9KG7vSJVqNZg2ZzEh9+9x+59ruZ21nxYSHMTOrRsZNWGqaKf/Y0TZ/HeFBAexY8tGRufBsklIiMd/tGrvDY4e2o9v5TKy5ftovF/VkUP78alURrb86vHkBWKOyczl3MQT/8/p6elhb6+4S/3z589p2LAhffr0Ydq0aZiYmHDhwgW6devGt2/f0NXVpXv37tSpU4eDBw9y7NgxZsyYwZw5cxgwYADR0dH4+fnJ5ipM6/uDO1VxdHSUPZxL7/vnjo6Oss80NeXn31FTUyMp5SFOVqXdxvcD7fs2oqOj6dWrFwMHDsywnpWV1U99jyrY2dlhamrK2rVradCgQYb9kV527K/0xowZw9Ch8hN8R8Vl/TcKowLGaGhoZLh5i4iQYGKqeOJ3E1OzDL8AR0aEZ0j//aHku7A3zF+6Nkd+ETUsYIy6hkaG3hCRERKlE9kbm5oRGZkufaQE45R4DAsYo6GRD2ub4nJpLK1tCVLh0IfIL99ISEzCzED+RTdm+lp8+Jx5r1gdTQ0aeJiz4NhjleXvZ2npGaKmrk7cZ/neWLGfo9AyzPig6oskjK8R77m8OvVNwt9/ONkzrDE1xyxH8jSIuOiPHJ3cNTVNUhJ3967lydl91JmwRkXR/Lx3kk8UNpEfrlTIxJCPn2OIjYsnPDKahIRECqVPY2pImES1b0T8EpdAYlIyBlrylxEGWvn4FJvx4tdMVxNTvfx0r1BM9tn366Q5fk5MP/mUqJh4EpOSCUvX4/dd9DdsTVTbY1JZuxb5g3YtY/rwDD0LdHR0KWZpRTFLK9zcPWjbvD4H9+2ifece2RtEGlr60mMn5lOU3Ocxn6My9HgE+PzhLdGSd5xaNkn22fdjZ0N/P5r4r0THSLpe7KdIdNO8MCr2UxTGxeTbuuyU18rGKOWckyF/kZIMPcG+UxhPpPL4AYoUtcSogDGvX4XKDRvPbkrjiZBk6A31neLyST2H3r31D1GREbRunDodR1JiIssWzmbH1o1s2XM0m6OQMjRKuR5I96KbqEiJyueHVoW8VDYARgUKoKGhkeF6MkIiwdTsZ9oC5cdaTvleNul7rmaWNxNTM8XpU9q1Oyll06pRurJZMJsdWzayda8qy0baTivKn2lm9wYZ7iUU3xtMGD2MsLA3LFimunuDKtV8cS2R2vklPuWlbhER4ZgVLJiaR4kERydnhdso8L2OpuudH5HJflCVqtV8cctiPA7K4jFWHE+kJOfjEfI+0WPyP+DGjRskJSUxZ84cKlasiKOjI2/evMmQztLSkt69e7Nr1y6GDRvGqlWrAPD09CQoKAgbGxvs7e3llrQ9+NJycXHh4sWLcp9dvHgRR0dHuR56P9KmTRtOnDghN48kSB8Uzps3D1dX1wzzT6qSp6cn9+/fz7Af7O3tM30bcmhoqNw+v3z5Murq6jg5OWFoaEiRIkUU7i9XV1dAuj9v374t95KdixcvyrbxnZmZGadOneLx48e0atUq0xf//IiTkxMJCQncvHlT9tnjx4+JjMx8SJ2WlhaGhoZyy8+8+VxTUxNHZ1duXLsi+ywpKYl/rl3BTckkzm7uHvxzTf4N7deuXJJL//2h5KvQUOYtWY1RgQJZztP/QlNTEwcnF27ekI/n1vUrchcoabmUKMmt61fkPvvn6mVcUtJramri6OLGq9Dncmlev3xBIXPV/VgQn5hM0OtPeNmnXtSqqYGXvSm3XkRlum7dkubkz6fOvpsZ257cop5PkwLF7PnwMLWHeHJSEh8e3cbEOuM8cAaFilFj5GJ8hy+ULRZu5Slo747v8IXoFjDDsqwPNUYskkujbWSCg09TKvWelGGbuenK7WdULy8fZ42Kzly5I+39HZ+QyM3gl/hUSE2jpqaGT3lHrt5R3kM8OyQmw6uPsTgUTD3HqAGOBXV5HplxOol30d/449RT/jzzTLYEhUXzOPwrf555Jn0omQyhUTEU0pdvqwvq5ycy5t+3lVmhtF27nnm7diNdu3Y9XbumSHJSEvHfVPsWa418mpha2fM25Jbc94aF3KKgbcYbECNzS/x+X0LDsYtki6V7BcwdS9Jw7CJ0jc3QNzVHx9CYtyGp5/tvMV/58DyEgsUV39Rkh7xWNpqamjg6uXIzXTw3r13GVUn+XEt48M81+XPOjauXlKYH+PA+jE8fozA1Lag0TXb4Xj7/ZLgmuKx0f7u6e/DP9YzxfE9fq74fazbtZPWG7bLFrGAhWrfvzKwFy1Uai72jC7fTXQ/c+ecqzm6Krwf+y/JS2QBoauZPaQtSj+2kpCRuZHL9WaJkKa5fzXj9WaJkKVVm9Yc0NTVxUlA2N64rbwek19LyZXP9Smo7ULueH2sCd7J643bZ8r1s/lyo6rJJaaevpovn2hWlL0QpUVJxO10i3b3BhNEp9wZLVXtvoKenh6WVtWyxLW6PqZmZXP35Eh3N/Xt3lNYfTc38OLm4yq2TlJTE9auXc7zOKYvn2hX5eILu3cH9B/GkXScpKYlrVy8rXUcQ/i3xYDKHxMXFERYWJrd8f2u2vb098fHxLFq0iKdPn7JhwwaWL5c/gQwePJijR4/y7Nkz/vnnH06fPi2bw7Ffv35ERETw22+/ce3aNZ48ecLRo0fp0qWL0mHZw4YN4+TJk0yZMoWHDx8SEBDA4sWLGT58+E/FNWTIEMqXL4+fnx/bt28nNDSUa9eu0bx5c4KDg1mzZk2Odh8eNWoUf//9N/379+fWrVs8evSIvXv3/vDlN9ra2nTq1Inbt29z/vx5Bg4cSKtWrTA3l76VdMSIEcycOZOtW7cSEhLC6NGjuXXrFoMGDQKgXbt2sm3cu3eP06dPM2DAADp06EDhwvJvBS5UqBCnTp3iwYMHci/u+VnOzs7UrFmTnj17cvXqVW7evEnPnj3R0dFR+T5v1bYjB/bs4PCBvTx/9oQ5f0whJiaG+n5NAJjmP4YVi+fJ0rdo054rly6yZeM6Xjx/ytqVSwgJDqJZy7aA9MJj/KihPLgfxPgpf5CYmIQkPBxJePj/9PA2q5q16cDhfbs4fmgfoc+fsujPqcTGxlC7oTSeWZPHsXbZAln6Jq3acf3y3+wIDCD0+TM2rF7GowdBNG7eRpamZbtOnD15lEN7d/L6VSh7d2zm8sVz+DVT/lKq7PDX+ee0Kl+MpmWKYFdIj0lN3dDJr8HO66+lsbR2Z1hdxwzrtSxflBNB74lS8KZkIx1NXCwMsC8sfQhlW0gPFwsDzPSVP+zPLvbVm/D88lFeXD3Jp3cvubVjKYnfYrGuUBOA65vmEnQgAAANzfwYWljLLZo6euTT0sHQwhr1fJpo6RlmSKOung9tQ2MMChXLLCv/Mz2d/JR0LEpJR+m0ETZFTSnpWBRLc2lPtMkDGrF6SgdZ+lU7LmBbzJRpgxrjaFOYni2r0rxWaRZtOi1Ls3DjKbo0rUQ7vwo42RZm4djW6OposX6v/MW+Kpx5HIGXtRHlLA0prJ+flh6Fya+hLnuxTTtPCxq6SB+KJKT0hEy7xMQnEZeQRNjnbySmzAhy6nEEpYsaUtHaCDM9TarYFsCtsD4XnkWpPJ5WbTtycO8OjqS0a3NnStu1eintwDT/MaxcIt+uXb10ka2bpO3aXyntWtNW0nYtJuYrK5fOJ+jubcLeviEkOIg/pvxO+If3VK+R8eUy2c3FtymPLh7lyeUTRL0N5fKWJSTExWLvVQuAC+vm8M+edYD02DEuYiO35NfVQ1NLB+MiNmjk00RNTQ0X38bcPbyFl3cuE/n6ORcD5qBrZIKVh2rfZpvXyqbFbx05uG8nRw/u5cWzp8yfNYXY2BjqNJDG88eksaxeOl+Wvlnr9ly7fJFtmwIIff6UgFVLeRgcRJMWv0nj+fqVFYvmcP/ebcLevOafa5cZP2IgRYpZUbZiZQU5yF4tf+vIgb07OZISz7yZ0njqppTP9IljWbUkNZ7mraXl8z2edauWSsunpTQeI6MC2No5yC0a+fJhYmKGlbVqX+zVuFV7jh3czckj+3j5/CnL5k4nNiaGGvUaAzBv2u8ErFwoSx8fH8/TRyE8fRRCQnw8EeHvefoohDevQmVpYr5+laUBePf2NU8fhfDhnerfLJyXygagTftO7N+9g8P79/D82RNmz5hMTEwMDRo1BWDKhDEsX5TaFrT8rT1X/r7I5g3rePHsKWtWLOHB/Xs0T2kLAD59jOJRSDDPn0qnvwp98ZxHIcFIwj+oNJaWbVPK5kCasknTrk33H8vKtGUja9cCUtq1lLJplVI2BQpQ3M5BbtHIlw8T05wpm9bt0t0bzJC/N5g6YQzL098b/J3m3mDFEh7cD6JZqzT3BiOHEhIcxISpf5CUw/cGampqtG7bkXWrV3D+7CkeP3rI5AmjMStYCO/qNWTp+vfqwvYtm2T//61dZ/bt3sHB/Xt4/vQJs6ZPIjYmhoYpdRRAEv6BhyHBvHopbSeePHrIw5Bglb6wLG08585I45k0PiUen0ziaZ8Sz749PEsTT4PGCuIJzbl4fkViKHfmxFDuHHLkyJEMw6qdnJx48OABHh4ezJ07l5kzZzJmzBi8vb2ZMWMGHTt2lKVNTEykX79+vHr1CkNDQ+rWrcu8edLG/XtvvlGjRlG7dm3i4uKwtrambt26qKsrfvbs6enJtm3bmDBhAlOmTMHCwoLJkyfTuXPnn4pLW1ubU6dOMX36dMaOHcuLFy8wMDDAx8eHy5cvU6JEiZ/bUf+jkiVLcvbsWcaNG0fVqlVJTk7Gzs7uh/M52tvb06xZM+rXr09ERAQNGzZk6dKlsr8PHDiQjx8/MmzYMN6/f4+rqyv79u3DwcEBAF1dXY4ePcqgQYMoV64curq6NG/enLlz5yr8PnNzc06dOkX16tVp164dgYGB/yre9evX061bN7y9vTE3N2fGjBkEBQWhra39r7aXVTVq1yMqKpK1KxYTIQnH3tGZ2QuXy4ZfvAt7i5paat1z9yjNhKkzWb1sEauWLqCYpTXTZi+kuL10/314/56L56QPW7q2ayH3XQuWr6V0mfIqjad6zbp8jIpk/aqlREaEU9zBiWlzl8omTP/wLkzuWHJzL8XoSTMIWLmYdSsWUaSYFf5/zMfGzkGWpnK1Ggwc+Ttb1q9l2byZFLO2Yfy0OZTw8Mzw/dnp0O0wTPTyM7C2AwUNtAh+84lua64jiZb2ArIooENSumlhbQvqUdbWhM6rFM9F5utaiJmt3WX/n9+uFACLjj9m0XHVDv0uVroqcdEfCT6yibhPkRgVLU6lXpPQTnkhTkzkh1/mhOvpas2x1YNk/581vDkAG/Zdpqf/RszNDLE0Tx0i++KNhKYDljNreDP6ta3O63dR9JkcyIlLqdNn7Dj2D2bG+kzo04DCpgbcCXlN435LMrwQRxVuvvmMnpYG9ZwLYqilwetPcay4/JLoOOkPYsY6mvzEFMQA3H0bzfbbYdR0MKWZe2E+RH/jr2uveRaR+Uu9soNvrXpERUaydmVqu/bngtR27f27t3LtQImSpRk/ZSZrlqdp1/5cSPGUdkBdXYPQ5884enAfH6MiMTQqgLNrCRauDMiRt6XalvUmLvojtw5sJOZTJCbFilOj/2R0UoZyf4n8gJr6zx07brVakBAXy6XARXz7+oVCdq7U7D8FDU3V/kiR18rGp1ZdPkZFsG7VEiIl4dg5OPPHvDTxhL2Va9fcSpZi3OQ/WLtiMWuXL6CopTWTZy3AVhaPOk8fP+TYoX1Ef/6EqVkhylbwonPP/pmOFskuvt/jWbmECEk4do7OzJyfvnxS4ylRshS/T/mDtcsXs3qZNJ4paeLJTVV96/AxKpLAtcuIjJBQ3N6JiX8uSb0eeB+GWpq6FhH+gcHdU3+U3L1lPbu3rKdEqTJMX7AagMch9xk3OHV6gDVL5gDgW9ePwWMmqzSevFQ2kHL9GRnB6uWpbcGcRSvkrj/V0xw77h6l8Z82i1XLFrJyyXyKWVkzY84i2fUnwIWzp5k+6XfZ//3HSDtpdOnZl269+qksFt9adYmKjOCvlLKxd3RmVpp27d27t3JtdImSpRg/5Q/WLF/M6qXSspn65wJZu5bbpGUTyZo0ZTN7Ubp7A3X5ewP/aTNZtXQRK5dI2+np6e4NLqTcG3RpK39vsHD5WkqXVe29AUD7Tt2IiYnhj6n+RH/+TMlSnsxbvFJupNnrVy/5GJU6Wq1mnXpERkawetkiJJJwHJycmbd4hdwQ9d07trJmZep9Zp/u0nv+3ydOkz1kV4UOnbsRmy6e+Uvk43n18iVRaeKpVUd6zK1KG8+SFXJDuXft2MqaFanx9O6WEs+kaXIPZAUhM2rJP/PmEkEQ/tNevXqFpaWl7GVKWfXuk+p/ecwpMfGqfQNpTqs980xuZyFbNauuurnoctqCcQt/nOgX0mti5j3LfzWjq9vldhayzZrrL3I7C9mqW1nr3M5CtkpI/2vPL+wnn1X/531WMOftr8xAO+/0KdHMl7cG7iUk/m9zwP/XaOShxiCfko46v6pf5Pf4LDPWzfo0cr8y++GHc+27H8+ul2vfnVV55+wmCP8PnTp1iujoaNzd3Xn79i0jR47ExsYGb2/v3M6aIAiCIAiCIAiCIAhCpsSDSUH4hcXHxzN27FiePn2KgYEBlSpVYtOmTT9827cgCIIgCIIgCIIgCEJuEw8mBeEXVqdOHerUUf1E/YIgCIIgCIIgCIIg/LxfZU783JK3JlwQBEEQBEEQBEEQBEEQBOGXIHpMCoIgCIIgCIIgCIIgCIIKiA6TmRM9JgVBEARBEARBEARBEARByHGix6QgCIIgCIIgCIIgCIIgqICYYzJzosekIAiCIAiCIAiCIAiCIAg5TjyYFARBEARBEARBEARBEAQhx4mh3IIgCIIgCIIgCIIgCIKgAmIkd+ZEj0lBEARBEARBEARBEARBEHKc6DEpCIIgCIIgCIIgCIIgCCqgri66TGZGLTk5OTm3MyEIQu6SfEnI7Sxkm7zWou0LfpPbWchWwe9icjsL2SY+MW9VthUTF+d2FrLV6wsLcjsL2SYprzVswn+WVr68NZgqr7XTyeSdeLQ1NXI7C9kqNj4xt7OQrdTz0LjTxKS8c9zkRWb6/z/6yrmOPZZr331/eu1c++6syltXH4IgCIIgCIIgCIIgCIIg/BL+fzyeFgRBEARBEARBEARBEIQcloc6IauE6DEpCIIgCIIgCIIgCIIgCEKOEz0mBUEQBEEQBEEQBEEQBEEF1ESXyUyJHpOCIAiCIAiCIAiCIAiCIOQ40WNSEARBEARBEARBEARBEFRAdJjMnOgxKQiCIAiCIAiCIAiCIAhCjhMPJgVBEARBEARBEARBEARByHFiKLcgCIIgCIIgCIIgCIIgqIB4+U3mRI9JQRAEQRAEQRAEQRAEQRBynHgwKQhIf8HYs2dPbmcDGxsb5s+fn9vZEARBEARBEARBEAQhG6ipqeXa8isQDyaFHBcWFsagQYOwt7dHW1ubwoULU7lyZZYtW8bXr1+zvJ1169ZRoEAB1WVUhZTl/dq1a/Ts2TPnM/QvJCcns2rZIvxqV6O6lycDe3fjZeiLH663c2sgzRrUonrF0nTv2Ib79+7I/T0uLo7ZM6ZQ16cSNSqXZezwQURIwlUVRmq+tgXSvGEtfLxK00NBvtI7dfwovzVriI9XaTq0asLfF87J/f3MqeMM7tuDer6VqFzGjYchwarMvpx/ju9l2eD2zO5Sn/X+A3jz5IHStCHXzhMwvi/zezZhbjc//hrbi3sXjitNf3TtfGa2r8W1I7tUkXWFnl04yPGp3TkwqjnnFgwnMvRhltZ7ffMc+4Y14uraaXKf39w8n33DGsktl1b6qyLrClWxLcCEWnb82dCRId7WWBXQztJ6pYsaML+xM93KF83wt8L6+elevigz6jsws4EjQ72tKaCj2tlaKnvasWN+L54em0bMzcX4VS/5w3WqlnHg78BRRF2Zx729/rT3q5AhTa9W3jw4OInIy/M4t344Zd2sVZF9hZKTk1m5bBENa3tTzas0A3p35WXo8x+ut2NrIE0b1KRaxVJ069iaIAXt2p8zplDHxwvfymUY84u2a9/b/Ua1q+FTyZNBfbLW7meHvBQL5L14kpOTWb5kIXVqVKVy+VL07dmF0BfPf7jeti2b8KtXg0rlPOjUrjX37srvh2mT/WncoDaVy5eiZvVKDB3Uj+fPnqooilSqagv27NxG3x6dqFG1HF6ernz+/ElFEaT60XVXeqeOH6VNs4ZUr1ia9pnUtZ+9/ssuycnJLFu8kNo+VfEq60Hv7lmra1s3b6JBHV8qlilJx7atMtS1tNvv37sHnu7OnD55IptzLy8vls3KpYtoUMubahVL079X1yyVzY6tgTSpXxPvCqXo2kHxcdOneyd8q5SjYumcOW4gb90b5KVYhLxJPJgUctTTp08pXbo0x44dY/r06dy8eZNLly4xcuRIDhw4wIkTqr0A+K8rWLAgurq6uZ2NLNkYsIbtmzcxYqw/qwM2o62jw5B+PYmLi1O6zomjh1k4dxZde/blr8Dt2Ds4MaRfLyIiJLI0C+fM5OL5M0ydOZclqwL48OEDY4YPUmksJ44dZlFKvtZu2o69oxND+/ciMk2+0rp7+yYTx42gYZNm/BW4g6rVfRkzbABPHz+SpYmNiaFkqdL0GTBUpXlPL/jyGU5tWkHlpu3pPHUZhayKs23mGL58jFSYXkfPEK9GbWnvv4Au01fg7l2HQytn8/TOtQxpH167wJvHwegbm6o6DJnXN88TtG8NTrXbUG3IPIyK2HB5pT9xn6MyXe9rxDuC9v+FSXFXhX8v5OxJbf8A2VKm/QgV5D6j0kUMaOJWiCMh4cw++5zXH+Po7WWJfn6NTNcz0dGksVshnoRn/PHGVFeTgVWteRf9jcUXQ5l1+hlHH0pISExWVRgA6OlocffhawbP2Jql9NZFTNm9qDfnrj+kQps/WBx4mmUT2lLTy0WWpkVtT2YOa8q0FYfxajuTOw9fs29pPwoa66sqDDnSdm0jI8f6syZgCzo6OgzOUrs2k249+7IucAcODs4M6ddTrl1bMOcPLp4/zbSZ81i6aj3hH94z+hds1zYFrGHHFmm7vyql3R/aP/P9I2LJ+/EABPy1mi2bNzLm94ms27gVbR1dBvTpken3HztyiHmzZ9KjVz82btmJo5MTA/r0IEKSuh9cXN3wnzyN7bsPsnjZKpKTk+nXuzuJiYkqjUdVbUFsbCwVK1WhU9ec+RE6K9ddad29fRP/sSPwa9yMdYE78K7uy+ihA3iSpq79m+u/7BSwdjWbAzcwdvxEAjZtQ0dHh369umf6/UePHGLun3/Qs3c/ArftwsHRiX69usvVte82bQjIkR5GebFsNqxbw7bNGxk11p/V67N23Bw/epgFc2bSvVdfAgJ34ODozOC+GY8br0pV6JxDxw3krXuDvBSLkHeJB5NCjurbty/58uXj+vXrtGrVChcXF4oXL07jxo05ePAgfn5+srRz587F3d0dPT09LC0t6du3L9HR0QCcOXOGLl268PHjR1kX5YkTJwLSninDhw+naNGi6OnpUaFCBc6cOfNT+bx79y6+vr7o6OhgampKz549Zd/93dq1a3Fzc0NLSwsLCwv69+//P+c9/VDu0NBQGjdujL6+PoaGhrRq1Yp3797J/j5x4kRKlSrFhg0bsLGxwcjIiDZt2vD58+efivdnJScnsy1wA52798K7ui/2jk5MmDyD8A/vOXfmpNL1tmwKoFHTFjRs3BTb4vaMHOePlrY2B/ZKe99Ff/7M/j07GTB0JGXLV8TZ1Y1xE6dy9/Yt7t25rbJ4tm4MwK9pCxo0kuZrxFj5fKW3bfNGKnhVoV3HrtjY2tGz70AcnV3ZsS1QlqZug0Z07dmXchW8VJZvRa4d3omHTz1KVquLWVFr6nQZhKaWFnfPHlWY3srVA8dyVTArao1x4SKUrduMQpbFeRUSJJfuc0Q4x9cvoWHfMahr5Nx7056c24tVxdpYla+JgbkVJZv3RUNTi9Cryn/ESE5K5MamOTjV+Q09E3OFadQ1NNE2NJYt+XVz5sFXdXsTLr34yNXQj7z7/I3tt8P4lphEBWsjpeuoAe3LWHD4QTiSr/EZ/t7ApSD330Wz//4HXn+MQ/I1nqCwaKK/qfbG/djF+0xaeoB9pzP/1f27Hi2q8Py1hNFzdxPy7B3Lt55j98lbDGjnI0szsL0vf+36mw37LvPgaRgDpm0hJvYbnZqo/jhKTk5ma+D6lHatRkq79scP27XNm9bRqGlLGjZulmm7NnDoqDTt2jTu3r75S7Vr39v9Tt16UbW6L/YOToyfJG33z2eyf0QseT+e5ORkNm9aT7cevanuUwMHRycmT/2DDx/ec+aU8rZ604YAmjRrSaMmzShuZ8+Y3yeira3Nvj2p+6FZi1Z4lilHkaJFcXZxo2//QbwLe8vbN69VGo8q2gKANu060rFLD0q4e6gs/2n96LorvW2BKXWtU1dsikvrmpOzKzu3yte1n73+yy7JyckEblxP9569qe5bA0cnJyZPn/njurZ+HU2bt6Rx0+YUt7Nn3IRJaOtos3f3Trl0IQ+C2RjwF/5TpinZUvbJi2WzNXA9XXr0wjulHfCfknLcnM7kuNm4jsbNUo4bO3tGjfNHW1ubA3vSHTdde+BWMmeOG8hb9wZ5KZZfmZpa7i2/AvFgUsgxEomEY8eO0a9fP/T09BSmSfsLpbq6OgsXLiQoKIiAgABOnTrFyJEjAahUqRLz58/H0NCQt2/f8vbtW4YPHw5A//79uXTpElu2bOHOnTu0bNmSunXr8ujRI4Xfmd6XL1+oU6cOxsbGXLt2je3bt3PixAm5B4/Lli2jX79+9OzZk7t377Jv3z7s7e3/57ynlZSUROPGjYmIiODs2bMcP36cp0+f0rp1a7l0T548Yc+ePRw4cIADBw5w9uxZ/vjjjyzF+m+9ef0KSXg4ZStUlH2mb2CAa4mSSm+04+O/ERJ8n7JpTmDq6uqUq1BRts6D4CASEhLkTnI2tsUpbG7BvTu3VBJLfPw3Qh7cp1x5+XyVLV+Re3cVxxJ055Zc7AAVvCoTpKI8ZlViQjxhzx5i7eYp+0xNXR0bN09eP77/w/WTk5N5fu8fIsJeYensnvp5UhIHls+kQoOWFCxmo4qsK5SUEM/HV48p6FBK9pmaujpmjh5EvshkePqxrWjpF8C6Qm2lacKf3OOIfwdO/tGH2zuW8u2L6ocFaahBMSNtHn74IvssGXj44Ss2xjpK16vjZEb0t0SuhH7M8Dc1wNVcjw/R3+jtVYwpde0Z4m2Nu3nOPGj9GRU8bDl9JUTus+N/B1OhpC0Amvk0KO1iyak0aZKTkzl1JYTyKWlU6Xu7lrb9SW3Xbilc53u7Vi5NeyBt17xk6yhr18zNLbj7C7Vrb16/QiL5uXY/O+SlWCDvxQPwOuXYKZ/u2CnhXpK7mVwTPAgOokJF+f1QvqIXd5QcFzFfv7Jv7y6KFi1GYXPFPzplB1W1BTktK9dd6d27e0suBpDWtXtp69pPXv9lp9evXhEe/oEKFSvJPjNIqWt3bt9SuE58/DeC7wfJraOurk6Fil5y68TExDB21HBGj5uAmVlBVYUgy1NeKxtlx41biZJKz3WZHTeqOj9mRV66N8hLsQh5W851exH+33v8+DHJyck4OTnJfW5mZkZsbCwA/fr1Y+bMmQAMHjxYlsbGxoapU6fSu3dvli5dSv78+TEyMkJNTQ3zNBenoaGh/PXXX4SGhlKkSBEAhg8fzpEjR/jrr7+YPn36D/MZGBhIbGws69evlz1AXbx4MX5+fsycOZPChQszdepUhg0bxqBBqUPxypUrJ/v3v8l7eidPnuTu3bs8e/YMS0tLANavX4+bmxvXrl2TfV9SUhLr1q3DwMAAgA4dOnDy5EmmTVP8a29cXFyGIRVxCRpoaWn9cN98931uNBMTM7nPTUxNiQhXPG9aVFQUiYmJmJjIDwM2MTHlxfNnsu1qampiYGCYYbsSFc3HJsuXabp8mZoSmpKv9CSScIVxSBQMCcpJXz9/JDkpCT0jY7nPdY2Mkbx9qXS9uK9fWDKgDYkJ8aipq1O780Bs3cvI/n75wFbU1dUpU6epyvKuyLcvn0hOSkLLoIDc51r6BYh+r7i3jOTpfUKvHqfa0AVKt1vI2RMLdy90TQvzJTyM4MMbuLxqElUHzkJNPfMh1f8LPa18aKir8TkuQe7zz3EJFDZQPIWDrYkOFa2N+PPMc4V/19fSQDufBjUcTDkU/IH9QR9wLqxHl/JFWXIxlCeSmOwO418rbGrIuwj53tzvIz5hZKCDtpYmxoa65Munwfv0aSSfcLIprPL8STJp1yQ/bNfSrWNiyovnT2XbVdSuGZuaqWyeSVW0a0rbfRPVtc+Qt2KBvBcPIDs+TDPEZIYk/IPCdaIile+H58/k98P2rYEsnDeHmJivWNvYsmTFGjQ182djBPJU1RbktKxcd6UnCQ/HOF2ZGJtmoa5lcv2XnSSSD7LvS8vU1IxwZWUTGamkrpnJ1bU5s2bgUao01X1rZHOuFeQpL5ZNeCbHjZJ2SNYOpFvH2NSU57l03EDeujfIS7H86n6Vl9DkFtFjUsh1V69e5datW7i5uck9MDtx4gQ1atSgaNGiGBgY0KFDByQSSaYvyLl79y6JiYk4Ojqir68vW86ePcuTJ0+ylJ/g4GA8PDzkenVWrlyZpKQkQkJCeP/+PW/evKFGDeUXLv8m74ryYWlpKXsoCeDq6kqBAgUIDk6dYNjGxkb2UBLAwsKC9+/fK93ujBkzMDIyklvmz56ZaV6OHjpAjcplZUtCQkKm6YVfS35tHbpMW07HyYvxbtmFU5uWE3pf+itq2LOH3Di6m/q9RvznT6gJsV+5uXkuHi37o6VvqDRd0dLemJeogKGFDRbuFanQbTxRLx8R/vheDub2x7TyqdPe04Ktt8L4omRY9vcyuRf2mbNPI3n9KY6TjyK4HxZNZRtjhesIUkcP7ce3chnZIto1Qciawwf3U7ViGdmSkJBxionsVK++H5u27mTl2vVYWdswesSQbJ0zT7QF/12HDuyncnlP2ZIQr5qyOXv6FNeuXmH4qDEq2X5edOTQfnwqlZEt4rgRBOF/IXpMCjnG3t4eNTU1QkLkh/IVL14cAB2d1KGMz58/p2HDhvTp04dp06ZhYmLChQsX6NatG9++fVP6gpjo6Gg0NDS4ceMGGhryPZ/09bNnaGPafCryb/P+b2lqasr9X01NjaSkJKXpx4wZw9Ch8hMVRydk3kusSjUf3EqkDu39Fi+9CYmICMesYOpwlwiJBAcnZ4XbKFCgABoaGhkm9Y6IkGBiKv2l1MTUjPj4eD5//iTXuyhCIsHUVP7X1Owiy1e6XwEjJBJMzBR/p6mpmcI40vcWyWm6BkaoqatneNHN14+RGXpRpqWmro6xufRNz4Wt7ZG8DuXS/s1YuXrwMuQeXz5FsWxQO1n65KQkTm9awfUju+gzf6NqggHy6xmipq6e4UU3cdFRaKfrRQnwRRLG14j3XF07JTWvydIXwOwf0QTfUcvQM7PIsJ6eqTn59Qz5InlLQVQ3f9GXuAQSk5Ix0JI/9Rpo5eNTbMYLejNdTUz18tO9QjHZZ9+fDc/xc2L6yadExcSTmJRM2Odvcuu+i/6GrUnmbVVOeyf5RGETA7nPCpkY8vFzDLFx8YRHRpOQkEih9GlMDQmTZP9Q+yrVfHEtkfom8fh46T5U1K45/rBdk+8NIm0PpO2HqZJ2LVISLmv7spsq2rXvec2wfyIkODgq3j/ZIS/FAnkjHu/qvpRwTz12vn2THjsSiQSzgoVSv18SjqOTS4b1AQoYK98Ppun2g76BAfoGBlhZ2+Be0gOfKhU5feoEdes1yJZ4cqotyGlZue5Kz9TMjMh0ZRIpyUJdy+T6739RzceHEiXTlE1KXYuQSCiYpq5JJOE4OSura8ZK6lq4rGyuXr3Mq5ehVKtUXi7NiKEDKe1ZhlV/bciWeGR5ygNlU7WaL25ZPG6U3hsYKz5uIlV43Z8VeeneIC/F8qv7j/fvyHWix6SQY0xNTalVqxaLFy/my5cvmaa9ceMGSUlJzJkzh4oVK+Lo6MibN2/k0uTPnz/DWxlLly5NYmIi79+/x97eXm7JbNh0Wi4uLty+fVsujxcvXkRdXR0nJycMDAywsbHh5EnFEzn/27wrysfLly95+TJ1CO79+/eJiorC1VXxm4azQktLC0NDQ7nlR8O49fT0KGZlLVtsi9thambG9atXZGm+REdz/94dSiiZmFpTMz9OLq7cuHpZ9llSUhLXr16RrePs4iZ9OVKaNC+eP+Nd2FtKlCz1r2POjKZmfpycXbl+TT5fN65dUTo5vVvJUnJxAFy7cgk3FeUxqzTyaWJu68iLoJuyz5KTkngedJOi9lmvM8nJySSmPHwuUbkmXaevoMu05bJF39iU8g1a0mrkjGyPIS31fJoYFbMn/FHqHDjJSUmEP7qDsXXGi1z9QsWoPnwR1YYukC3mruUxs3On2tAF6BRQfAEWExXOt6+f0TZQbQ/DxGR49TEWh4KpvbHVAMeCujyPzDjk+l30N/449ZQ/zzyTLUFh0TwO/8qfZ55JH0omQ2hUDIX05Yc1FtTPT2SMansx/awrt59Rvbz8VB41Kjpz5Y50KFF8QiI3g1/iUyE1jZqaGj7lHbl6R/Fwo/+Fnp4ellbWssW2uH1Ku5Z6bKe2a6UUbuN7u3Y9Q7t2WbaOsnYtLOwt7r9Qu1akaDFMTc248RPtfnbIS7FA3ogn/bFT3E567Fy7kprH6Oho7t29g3sm1wTOLm5cvSK/H65duUzJTI6L5GRIJln2gEoV8aiqLchpWbnuSq+Eeym5GACuXrkki6FI0WI/ff33v9DT08fKylq2FLezx8ysIFevXJKl+V7XSnqUUrgNTc38uLi6ya2TlJTE1cuXZet06daDrTv3snn7btkCMGzkaCZOyf5rnbxRNoqPm7TtwJfoaILu3VF6rvu+H66lbweuXlbZ+TEr8tK9QV6KRcjbRI9JIUctXbqUypUrU7ZsWSZOnEjJkiVRV1fn2rVrPHjwgDJlpPPa2dvbEx8fz6JFi/Dz8+PixYssX75cbls2NjZER0dz8uRJPDw80NXVxdHRkXbt2tGxY0fmzJlD6dKl+fDhAydPnqRkyZI0aPDjX9fbtWuHv78/nTp1YuLEiXz48IEBAwbQoUMHCheWznM2ceJEevfuTaFChahXrx6fP3/m4sWLDBgw4F/nPX1Pypo1a+Lu7k67du2YP38+CQkJ9O3bl2rVqlG2bNn/pRj+Z2pqarRq24GA1SuwtLKiSJFirFy2CLOChfCunjrEfUCvrlTzqUGLNtLedm3adWKq/1icXd1wdXNna+AGYmNiaNhIOnehvoEBfk2as3DOLAwNjdDT02furOmUKFlKpTeLrdt3Ypr/WJxd3HAt4c62lHw1SMnXlAljMCtYiD4DhgDQ6rf29OvRmc0b1lGpijcnjh3mwf17jBo3UbbNTx+jCAt7S/gH6XxIoS+eA9JfIU1VOKl6uXrNObhiFua2jljYOXH9yG7i42Jxr1YHgAPLZ2JgbEa11t0AuLRvM+a2jhgXLkJC/Dee3r5K0MUT1O48EAAdA0N00s2Np66RD70CJpgWsUTV7Lwbc3PLfIws7TG2cuTpuX0kfovFsry0nv0TOA9tIxNcG3RCQzM/hhbWcutr6kgfAn7/PCEuhpBjW7Ao6YW2gTFfwsO4f3AdeqYWFHT2RNXOPI6gracFL6NiCI2MpZqdMfk11GUvtmnnacHHmAQOBH8gQUFPyJh4aW/otJ+fehxBp7JFeSL5yuPwrzgX0sOtsD6LL4aqNBY9nfzYWabWZZuippR0LErkp6+8DItk8oBGFClkRPfx0p4mq3ZcoHcbb6YNakzA3stUL+dI81qlaTowtX1cuPEUqyZ34Mb9UK7fe07/tj7o6mixfu/lDN+f3dTU1GjdtiPrVq/A0soaiyLFWLVsYYZ2rX+vLlTzqUnLlHbtt3admeI/BmfXEri5ubMlcL2Sdm2mrF2bM2vaL9euydr9NSsoltLur0pp96tWV+2cbHkplrwYj5qaGr+168iaVcuxtLamaNFiLFuykIIFC1Hdt6YsXZ8eXajuW5PWv0mPnXYdOjFx/Bhc3UrgVsKdwI3riYmJwa+JdD+8evWS40cPU9GrMsbGxrx79451a1ehraVF5SreKo1HFW0BgCT8AxJJOK9eStvnJ48eoqunR2FzC4yMCmR7LD+67po8fgwFC6Wpa23b07dHZwK/17WjKXXt94myfZOV6z9VUVNTo237jqxesRwrKxuKFC3KssUZ61qv7p3x8a1Jm7btAWjXsTP+40ZL65p7SQI3BBATE0OjJs0AMDMrqPCFN+bmRSharFiGz7NDXiybtMdNkaLFWLk05bjxyeS4ad+ZKRPG4OJaAtcS7mxNOW4aNFZw3ITmzHEDeeveIC/FIuRd4sGkkKPs7Oy4efMm06dPZ8yYMbx69QotLS1cXV0ZPnw4ffv2BcDDw4O5c+cyc+ZMxowZg7e3NzNmzKBjx46ybVWqVInevXvTunVrJBIJ/v7+TJw4kb/++kv2cprXr19jZmZGxYoVadiwYZbyqKury9GjRxk0aBDlypVDV1eX5s2bM3fuXFmaTp06ERsby7x58xg+fDhmZma0aNHif857Wmpqauzdu5cBAwbg7e2Nuro6devWZdGiRf9292er9p26ERsTw8ypE4n+/JmSpTyZu3iFXO/L169eEhUVJft/zTr1iIqMYNWyxURIwnFwcmbu4hVyw1YGDhuFmpoaY0cMJv5bPBW8KjN8zO8qjaVmbWm+Vi9PyZejM3MWpebrXdhbufkV3T1KM3HaLFYuW8iKJfMpZmXNjDmLKG7vIEtz/uxppk9Kzbf/GOmb17v27Eu3Xv1UFotLxep8/RTFhZ0BfPkYSSFrO1qNnC4byv0p/L1cLPFxsRxft5DPEeHky6+FSRFLGvYZjUvF6irL488oWroq3758JORoIHGfIjEsWpyKPSbKejfGRH34qbkv1dTV+fTmOS+vnyI+5gvahiYUciqFU912aOTT/PEG/kc333xGT0uDes4FMdTS4PWnOFZcfkl0nLQHtbGOJimjz7Ps7ttott8Oo6aDKc3cC/Mh+ht/XXvNswjVvvjG09WaY6tTXwA2a3hzADbsu0xP/42YmxliaW4i+/uLNxKaDljOrOHN6Ne2Oq/fRdFnciAnLqXOmbvj2D+YGeszoU8DCpsacCfkNY37LcnwQhxVad+pGzExMfwx1V/Wrs1bvDJDu/YxKnW6hJp16hEZGcHqZYuQpLRr89K1a4OGjUZNTZ0xIwbJ2rURY8arNBZVtGvtUvbPrGmp7f6cRSt+6uVp/99jyYvxAHTq0p3YmBimT/bn8+dPlCrtycKl8sfOq1ehRKU5dmrXrU9kZCTLly5EEi4d9r1o6UrZEE6t/Frc/Oc6mzeu59OnT5iamlK6TFnWrN+c4UUO2U1VbcHuHVtZs3Kp7P99ukuvDX+fOE32kCA7/ei6613YW9TV5evapGmzWLl0ISsWS+vaH3MXYZemrmXl+k+VOnXtTkxMDFMnTUipa2VYvHyVfF17KV/X6tStT2REBMuWLEIS/gEnZxcWL1+VYdqAnJQXy6ZDZ+n3pz1u5i9J1w68fClXNrVk+yHNcbNkhdxQ7l07NJ6CmAABAABJREFUtrJmRepx07tbynEzaZrcg//slJfuDfJSLL+y//pc/blNLTn5Z2+BBEHIayRf8s6E1XmtRdsX/ObHiX4hwe/+O2+J/l/FJ+atyrZi4uLczkK2en1B+ZvZfzVJea1hE/6ztPLlrVme8lo7nUzeiUdbM/P5zX81sfGZT9H0q1HPQw9REpPyznGTF5np///oK1dmyulc++4b431y7buz6v9HLRAEQRAEQRAEQRAEQRCEHJaHnvWrRN76WVQQBEEQBEEQBEEQBEEQhF+CeDApCIIgCIIgCIIgCIIgCEKOE0O5BUEQBEEQBEEQBEEQBEEFxMtvMid6TAqCIAiCIAiCIAiCIAiCkONEj0lBEARBEARBEARBEARBUAHRYTJzosekIAiCIAiCIAiCIAiCIAg5TjyYFARBEARBEARBEARBEAQhx4mh3IIgCIIgCIIgCIIgCIKgAuLlN5kTPSYFQRAEQRAEQRAEQRAEQchxosekIAiCIAiCIAiCIAiCIKiA6DCZOfFgUhAE4hOTczsL2eZbQlJuZyFblS9ikttZyFaNXbVzOwvZJj4h7xw3ABMuLMjtLGSrolUG5XYWss2hLZNyOwvZavaZJ7mdhWz1Kfpbbmch22zqUi63s5CtNDXy1p1gch467UR9ic/tLGQrnfwauZ2FbNV4yd+5nYVsc2qYd25nIXvlrWZNEADxYFIQBEEQBEEQBEEQBEEQVELMMZk5McekIAiCIAiCIAiCIAiCIAg5TjyYFARBEARBEARBEARBEAQhx4mh3IIgCIIgCIIgCIIgCIKgAmIkd+ZEj0lBEARBEARBEARBEARBEHKc6DEpCIIgCIIgCIIgCIIgCCogXn6TOdFjUhAEQRAEQRAEQRAEQRCEHCceTAqCIAiCIAiCIAiCIAiCkOPEUG5BEARBEARBEARBEARBUAExkjtzosekIAiCIAiCIAiCIAiCIAg5TjyYFH5JZ86cQU1NjaioqBz/7s6dO9OkSZOfWmfdunUUKFDgh+mqV6/O4MGDs7zd58+fo6amxq1bt34qP4IgCIIgCIIgCIIgqJ6amlquLb8CMZRb+J917tyZgICADJ8/evQIe3v7XMjRr2vXrl1oamrmdjayZPe2zWzZ+BcRknDsHJwYNGIsLm7uStOfPnGUtcsXE/b2NUUtrek9YAgVK3sDkJAQz+pli7h88TxvX79CT1+fMuUr0qv/EMwKFsqRePbu2ML2TeuIiAjHzt6RfkPH4JxJPGdPHiNg5WLCwt5QtJgV3fsNoUKlqnJpXjx/yuol87hz8wZJiQlY2drhP30uhcwtVBrL4T3b2Lt1PVEREmzsHOg2YCQOLiUUpg199oQt65bz9GEwH969pUvfYTRs0VYuzZG92zm6fwcfwt4CYGlTnJYdeuBZobJK4/hu59ZANq2X1jV7RyeGjhyLa4mSStOfOn6UlcsWEfbmNcWsrOk7cCiVqnjL/p6cnMzq5YvZt3sHnz9/pqRHaUaMnYCllXVOhMPu7emOneFZOHZWpDl2+qceOwB/rVzCqeNHeP8ujHyamjg5u9K9z8BM91F2Sk5OZtXyxezbvV22P0eOnYCllU2m6+3YGsim9WvTlOs43NLkOS4ujoVzZ3Hi2CHiv32jglcVRowZj4mpmUriqOxpx5CONfF0tcKioBGthqxk/5k7ma5TtYwDM4c1w9XOnFdhUfyx+ggb91+RS9OrlTdDOtWgsKkhdx++ZujM7VwPeqGSGNI7c3Anx3Zv4lNkBMVs7Wndcyi2jq4K054/upcrp4/w5sVTAKzsnWjcobdc+v2Bq7l+/gSR4e/Jl09TmqZ9L2yd3FQeSwO3QjT3sMBYR5Nnkq8sv/iChx++KExb09GMIT7F5T77lpBE0zXXZf/XzqdO5wqWeNkYY6Cdj3ef49h3N4zDwR9UGsd3TUtZ8FvZopjo5efJhy/MP/WE4LBopen1tTToUcWaavZm0vx+imPhmadcfhYJQPvyxfB2MMXaRIe4hCTuvfnMsnPPeRkZkyPx5KVzqLSNXidtmxycGDh8TKZt9JkTR1mzYjFhb99QzNKKXhna6KWcOn6YD+/ekU8zH4453Ebv3r6ZrZvWyc45A4f9IJ6T38850nh69pOPJ625f0xm/+7t9Bs8kha/dVBVCHL279rCzs0BREZIsLVzpM/gUTi5Ko/n/OljbFi9lHdhbyhSzIquvQdRziu1rkVGSPhr2Xz+uXaZL9GfKeHhSe/BoyhqqfprgrxWNi3LFKF9RStM9fPz6F00fx57xP03n5Wm19fKR9/qtvg4m2Gorcnbj7HMPf6Yv59EyNIUNMjPAB87vOxM0NZU51VkDJMPhBD8Vvl2s0tycjIrli5i967tRH/+jEep0owe54+VtU2m623bsokNAWuRhIfj4OjMiNHjKOGeerxPm+zP1SuXCP/wHh1dXUp6lGbg4GHY2BbPZKvZGM/ONPH8nsV41qWJZ4yCeC6ni2eI6uMR8hbRY1LIFnXr1uXt27dyi62tbW5n65fx7ds3AExMTDAwMMjl3PzYqWOHWTJ/Fp2692HVhu3YOTgxfEAvIiMkCtPfu32TKb+PpH7jpqzauJ2q1XwZN3wgTx8/AiA2NpaHD+7TsVsvVm3YxpRZ83n54jljh/XPkXjOnDjCioV/0r5bb5at20pxByfGDOmtNJ6gO7eY7j+Kun5NWRawjcrevkwcNYhnTx7J0rx59ZIhvTphZW3LnCVrWLFhJ+269EQzf36VxnLx9DHWLZtLq449+XPFJqztHJkyqj8fIyMUpv8WF0thi6K07zGAAiamCtOYFixM++4DmLV8I7OWbaBE6XLMHD+U0GdPVBkKACeOHmbh3Fl07dmXvwK3Y+/gxJB+vYhQUjZ3b9/Ef+wI/Bo3Y13gDryr+zJ66ACePE4tm40Ba9i+eRMjxvqzOmAz2jo6DOnXk7i4OJXHc+p4mmNnfcqxMzCTY+fOTaaMH0n9Rk1ZtSHl2BkxkKdp6loxKxsGjRjLX5t3sXjleswtijB8QE+ilJR5dpPuz42MHOvPmoAt6OjoMPgH+1NarjPp1rMv6wJ34ODgzJB+PeXKdcGcP7h4/jTTZs5j6ar1hH94z+jhg1QWh56OFncfvmbwjK1ZSm9dxJTdi3pz7vpDKrT5g8WBp1k2oS01vVxkaVrU9mTmsKZMW3EYr7YzufPwNfuW9qOgsb6qwpC5fv4EO9YspGGbroyd9xfFbOxZ5D+ET1GK68XDezcp612TIdMWMfLPFRibFWKh/2AiJakP6goXtaJNr2GMX7SB4TOXYVrIggX+g/n8MVKlsVS1M6GHlxWBN14zcOc9nkV8ZUoDJ4y0lf++/iUugfbrb8qWLoG35P7eo5IVZSyNmH3qCb233mHv3TD6VLGhgnUBlcYC4OtkRv9qtqy7FEr3DTd5/OELc5qXoICO4h8m86mrMbdFCSwMtRm/P5h2f91g1vFHfIj+JktTqpgRu2+9pVfgHYbsCEpZxw3tfKq/1M9L59BTx4+wdP6fdO7em1Xrt2Hn4MiITNvoW0weP4oGjZqxesN2qlTz5fcRg+TaaEsrawaNGMvazTtZtHI95hZFGTGgV4600aeOH2HZgj/p1K03KwO2YWfvyMhBmcczZfwo6vs1Y9X67VTx9mX8SPmy+e78mZPcv3cnx35ABjh78iirFs+hbedeLFq9meL2jowf1lfpvrx/9xYzJ42hdoMmLFqzBa+qPkwZO4TnTx8D0gc1U8YO4e3b10yYMY9Fa7dQyNyCsUN6Exuj2of6ea1sarkUZHBNe1aff06HNdd59D6aRW1KYqyrvF1b0rYkFgW0GbUziBbLrzL9UAgfPqdeOxho52N1R08SkpIYtPUOrVdcY/6JJ3yKic+RmAL+Ws2WzRsZ8/tE1m3ciraOLgP69Mj0+ubYkUPMmz2THr36sXHLThydnBjQpwcRktRydXF1w3/yNLbvPsjiZatITk6mX+/uJCYmqj6ewI2MGT+RdZtS4umdhXj+nEmP3v3YuDUlnt5K4tmTJp5eqo/nVyN6TGZOPJgUsoWWlhbm5uZyi4aGBgBnz56lfPnyaGlpYWFhwejRo0lISJCtGxcXx8CBAylUqBDa2tpUqVKFa9euyW3/0KFDODo6oqOjg4+PD8+fP/9hnubOnYu7uzt6enpYWlrSt29foqNTeyN8H1599OhRXFxc0NfXlz1g/S4xMZGhQ4dSoEABTE1NGTlyJMnJyT/87nXr1mFlZYWuri5NmzZFIpG/yJg4cSKlSpVi9erV2Nraoq2tDWQcym1jY8P06dPp2rUrBgYGWFlZsXLlSqXfm5iYSNeuXXF2diY0NPSH+fy3tgWup2GTFtRv1BSb4nYMGzMBbW1tDu3brTD9ji0bKe9Vmd86dMXG1o5ufQbg6OzK7u2BAOjrGzB3yWp8a9XFysYWN3cPBo0YS0jwfd6FvVW4zey0c/N66jVqTt2GTbC2tWPQyPFoaelw9MAehel3b9tEuQqVadW+C9Y2xencqz/2Ti7s3bFFluavFYsoX6kqPfoPxd7JhSLFLKlU1QdjJQ//ssv+7RupWb8pvvUaYWlTnF5DxqKlpc3Jw3sVprd3dqNT78FU8a2DpqbiG75ylbwpU7EKRYpZUcTSmnbd+qGto8vD4LuqDAWALZsCaNS0BQ0bN8W2uD0jx/mjpa3Ngb27FKbfFriRCl5VaNepKzbF7ejZdyBOzq7s3Cqta8nJyWwL3EDn7r3wru6LvaMTEybPIPzDe86dOanyeGTHjl/KsTM65djZn8mxUzHNsdM75djZFihLU6tuA8qW96JIUUts7ezpN3gkX75E8+TRQ5XHk5yczNbA9Sn7s0bK/vzjh/tz86Z1NGrakoaNmyks1+jPn9m/ZycDh46ibPmKOLu6MW7iNO7evsm9O7dVEsuxi/eZtPQA+05n3kvyux4tqvD8tYTRc3cT8uwdy7eeY/fJWwxo5yNLM7C9L3/t+psN+y7z4GkYA6ZtISb2G52aeKkkhrRO7N1C5dqNqFSzIUWsbGnbdySaWlr8feKAwvTdhk2kev3mWBZ3xLyYDR36jyE5KYmQ26m9DMtXq41LqXIUNC9KEavitOg2kNivX3j9XLU/UjR1N+dI8AdOhITzMiqWxeeeE5uQRG3ngkrXSQYiY+JlS1RMgtzfnQvrc/JhOHfffuZ99DeOBH/gmeQrjoX0VBoLQOsyRdl/N4xDQe95HhHD7OOPiY1PpIF7YYXpG5QojKF2PsbsDebum8+EfYrj1qtPPEnTY3T4riAOB73nueQrTz58YfqRh5gbauNUWPUPwfPSOXR74HoaNGlOvZQ2eujoCWhr6yhto3emtNFtOnTB2rY43XoPwMHZld3bNsvS1MzQRo/IsTZ6++b1NGicMZ7DyuLZKh9P194DcHByZff2zXLpPrx/x8LZ0xk3+Q808uXcALzdWzdQ168ZtRs0wcrWjv7Df0dLW5tjB/coTL93RyBlyleiRdvOWNkUp2P3ftg5urB/l7SuvX4ZyoOgO/QfNhZHlxIUs7Kh37BxfIuL5cyJwyqNJa+VTdsKluy59Zb9d8J4Fv6VGYceEpuQRCMPxT2cG5WywFBHk+Hb73Hn1Sfefozln9CPPHqf2q518rLi3adYJh8I4f6bz7z5GMuVZ5G8jopVeTzJycls3rSebj16U92nBg6OTkye+gcfPrznzKkTStfbtCGAJs1a0qhJM4rb2TPm94loa2uzb0/qdWuzFq3wLFOOIkWL4uziRt/+g3gX9pa3b16rNp6N6eKZloV41gfQpHmaeMZPRFtHQTxlU+JxdaPvANXHI+Q94sGkoFKvX7+mfv36lCtXjtu3b7Ns2TLWrFnD1KlTZWlGjhzJzp07CQgI4J9//sHe3p46deoQESH99fPly5c0a9YMPz8/bt26Rffu3Rk9evQPv1tdXZ2FCxcSFBREQEAA/8feXYdFtfwPHH/T3Sgo3aGC3Xrtvta9em29dnd3XLu7u7u7uxUTwcIklyUFpH5/gAsLC+q9rHz1N6/n2eeBs3POmc/O2XNm58zMOXfuHMOHD5dL8+nTJ+bMmcPmzZu5dOkSb9++ZejQobL3586dy4YNG1i3bh1XrlwhPDyc/fsVVxi+uHnzJl26dKFv3774+PhQvXp1uXi/ePHiBXv37mXfvn25zhE5d+5cSpcuzf379+nduze9evXCz88vW7qEhARatGiBj48Ply9fxtbW9iuf0L+TmJiI/7OnlCpbXrZMVVWVUmXL8+SR4gaDJ48eUKqM/A/xMuUr5pgeIDYmBhUVFfT1lduDNDExEX8/X0qWkY+nZJlyPH2sOH9PHz+gZJlycstKl6uIb3r6lJQUbl67hLWNHSMH9qRFg9/o16UNVy+eU14gpMXy0v8ZXqXKypapqqriVaos/k/zphExOTmZK+dOEh8fh5uncoehJSZ+xs/3KaXLZRw7qqqqlClXPsfGqcePfChTrrzcsnIVKvH4oQ8AHz+8RxIWRulMafQNDPAs6qW0Bq8vZN+dLMdaqTJf+e6U/fbvTmJiIocP7EZf3wAnV7e8y3wOvnyeZTKVUcbn6ZNDHtPKNXM5pZVrBdk6z3yfkJSUJLddewdHLC0L8SiH7f5o5bwdOH9T/lx8+pov5bzSRgtoqKtRwsOGc5nSpKamcu6mH2W9lDuiICkxkbcv/PAoXlq2TFVVFQ/vMrx69vibtvE5IZ7k5CR0DQxz3MflkwfR0dPH2kF507aoq6rgXEAPnw+RsmWpgM/7KNxzaXTT0VBjfRtvNrT1ZlxdF2xNdOTefxYcQzk7Y8zSe/N4FTagsJE2995HKSWOL9RVVXC10Ofu2wjZslTgztsIihRSfL2r5GTKk4/RDK7pxMGeZdnYsQTty1qjmksnCD2ttAaJqPiknBPlgV/tGuqXwzn6aa7naPlrTtnyFXNMn3aO3oPeDzhH51RfK5nLNefpowdy8UP2a05KSgrTJ47mr3Z/4+D446ZsSkxM5IW/L8VLZRw7qqqqFC9djmdPFN9Qevb4ISVKyx9rpcpW4Nnjh+nbTOt1rKmpJbdNDU1Nnj68n9chyPxqZaOuqoJ7IQNuvc7oPZ8K3HotpZi14mtIVRczHr2PYkQ9F04MqMiObmXoVNFW7rxWxcUM38Bopjf35OTAimzpUoqmxZU7lcMXH9LrN2Wz1G+KFvPiUQ71xcTEzzzzfUK58vL11rLlK/Awh7pL3KdPHDq4DysraywsLfM0hsxk8ZRXEM+D74ynXAUePvBRuE7cp08cOqD8eIRfj2iYFPLEkSNH0NfXl71atGgBwLJly7CxsWHJkiW4u7vTtGlTJk2axNy5c0lJSSE2Npbly5cze/Zs6tevj6enJ6tXr0ZHR4e1a9cCsHz5cpycnJg7dy5ubm60bduWTp06fTVPAwcOpHr16tjb21OjRg3++ecfdu3aJZcmMTGRFStWULp0aUqWLEnfvn05ezajl8+CBQsYNWoUzZs3x8PDgxUrVmBkZJTrfhcuXEi9evUYPnw4rq6u9O/fn7p162ZL9/nzZzZt2kSJEiXw8sq5gadBgwb07t0bZ2dnRowYgbm5OefPn5dLExMTQ8OGDQkNDeX8+fMUKJBzL5KEhASioqLkXt8zhDUyQkpycnK2XgsmpmaES8IUrhMuCcPELGt68xzTJyQksHLJfGrWaYCevnJ7e0RGSEnJIR5pDvmTSsKyDXvOHH+ENJy4T5/YuXktZcpVYvqClVT6rSaTRg3iwb07ijaZJ6IjI0hJScbYRD5vRiZmRIQrjuVbvXn1nLYNKtOqbgVWzp/G8ElzsLFX7twxERERJCcnY5rlszbN5ViThCk41szMZL2Wv6xnaio/T6GpmRnhYf/tM/qaf/3dyZbenPAs5Xnt8gXq/VaG2pVLsnv7ZuYsWYWxsUme5l8RSS6fpySHzzOjXLOsY2om255EEoaGhgYGWRrFTMxyPm/8aBZmhgSHy89xFRIehZGBDtpaGpib6KOurkZI1jSSKCzNFP9QyysxUWnnAkNjU7nlBsamOQ7lzmrfxmUYmZrj4V1abvnD21cZ0LIm/f6sxtmDOxgweQH6hsZ5lfVsDLXVUVNVydbjMSIuEZMchj6/j4xnwYVXTDn5nDnnXqGiAnOaeGCml5F++ZU3vJXGs6l9CQ52Lc3kBm4svxLAEyXPW2ako4G6qgrhsfJDEaWfEjHTU9xrvbCxNr+5mqOqAsP2PWHjjXf8VdqKDuVtFKZXAfpXc+Thh0heSz7ldQhyfqVr6JdYsl5z0vKmeHhtuCRMcfps5+iL1PutLHUql2LP9s3M/QHn6NzKJqfpUBRfc+TLcvumdaipqfHHX23zPtO5iIpUHI+xSc7XUGl49mPN2NQMaXr52NjZU8CiEOtXLiI6OorExER2b11PWEiwUq81v1rZGOt+Oa99llseHvs5x/OalbEONTwKoKqiwsCdD1l7JYC25WzoXDljbk8rEx3+KGXFu/A4+m1/yN57HxlSxznH3uV56UsdxixLndLUzBxJmOK5iCOk6fWbbOtkrxPt3rmNKuVLUaVCKa5duczSlWtzHLmUF3KNR5IH8ezYRpVypahSPj2eVcqN52ekopJ/r5+BaJgU8kT16tXx8fGRvRYtWgSAr68vFSpUkJvboFKlSsTExPD+/XtevnxJYmIilSplPERDQ0ODsmXL4uvrK9tGuXLydzsrVPj6MLgzZ85Qs2ZNrKysMDAwoH379kgkEj59yqik6+rq4uTkJPu/UKFChISEABAZGUlgYKDcvtXV1SldWv5HWlbfml87O7tcGxC/yNxoqaKigqWlpSyPX7Ru3ZrY2FhOnTr11YbT6dOnY2RkJPdaPG/mV/PxoyQlJTJx1BBSU1MZPHJcfmfnX0lJSQGgQpXq/NG6Pc6u7rTq0IVylapy5MCur6z9v6mwjT1zVm9nxrKN1G38J0tmTuBdwKv8zpaQrkTpsqzZspela9KGek0cNTTHear+i5PHDlOjUinZK/O0HMKv48SeTdy5fIaeo2agkaknEYBbsZKMWbCRYTNXUqRkeVbPHPfNjZ0/yrPgGM49l/BK8onHgdFMPfWCyPgk6ntkzLfWuKgF7hZ6TDrhz4B9T1hz/S29KttT3Eq5jcb/hioqRHz6zOzTL/APieWcXxibb76jqZfinkODazrhYK7LxCPZR1f8DH7Fa2iJ0mVYs2UPS9ZsVuo5Wtn8fJ+wd+cWRoz/56eZtyw36uoajJ06l4/v3vBXg6o0q12eh/duU7p8JVRUf66fyT9b2aiogDT2M9OO+fEsKIbTvqGsv/qGP0oWlqVRVQG/oGiWXXiNf3AM++8HcsAnkOaZ0uSV40cPpzUUpr+SkpQ7j2X9Br+zdedeVq3bhK2dPSOHDcrTuc6PHz2c1lCY/lJ6PA1/Z+uuTPEMzdt4hF+feCq3kCf09PT+p57AHRAQQKNGjejVqxdTp07F1NSUK1eu0KVLFz5//oyuri5Atidgq6iofNMcknlBT+/b5rFSlMcvlfYvGjRowJYtW7h+/To1atTIdXujRo1i8ODBcsukCd9e+TIyNkFNTS1bhVoaLsnxabmmZuZIJVnTh2VLn5SUyIRRQwgO+sj8ZeuU3lsS0uJRzSEekxziMTEzJyKX+NM+I3XsHJzk0tjaO/L4gfKGBhkYGaOqqkaEVD5vkVIJxqb/7UnGGhoaFLJK653j5OrBC7+nHN23nZ6Dx/yn7ebG2NgYNTW1bL0HwnM51szMFRxrEonsDvGX9cLDwzDPdGMgXCLBxc09L7Ofzb/+7mRLH5att6GOji7WNrZY29hSpJg3bf5owNFD+2jXqVuexlD5txpyT5L9MgxO0efpmsPnmVGu8nfbw8MlmKV/DmZm5iQmJhIdHSXXa1IqyX7eyC/BkigsTOWH3hY0NSQyOo74hETCpDEkJSVTMGsaM0OCJModLqxvmHYuyNpgGB0Rnq0XZVan9m/j5N4tDJy8UOEQbS1tHQoWtqZgYWsc3YsyrkdLrp0+Qr0WHfI0hi+i4pNITknFWEe+ymqso4H0Gx+AkJySyquwTxQ2SpvPWVNNhQ5lrZl66jm336YNEQ8Ij8PRTJfm3pb4fFBe+UTGJZKUkoqpnvy13URXA0mW3kZfSGI/k5SSSkqm6kmAJA4zfU3UVVVIyvTGwBqOVHAypd+Oh3IPx1GWX+ka+iWWrNectLwpntvS1MxccfqvnKPb/tGQY4f207ZT17wNIpPcyiZrL88vFF9zMsrykc89IqTh/NWkjuz9lORkli+aw56dW9hx4GQeR5HB0EhxPBHSnK+hJqbZj7WIcAkmmcrHxc2TJet3ERsTTVJiIkYmpgzs3g4Xd8+8DyLdr1Y2EZ++nNfke8iZ6mnmfF6LUXRe+4S5vpbsvBYW85lXYfK9vgPCPlEjl/mF/62q1WrIPWn6y4NJJRKJ3EOEwiVhuLp5ZFsfwNgkvX6TpR4aLpFgZi5/jOobGKBvYICtnT3FvLypXrk858+doV79hj9/PN7eVK9UnvNnz1CvQd7E8yv4GW4Y5Kef61aQ8NPx8PDg+vXrco19V69excDAAGtra5ycnNDU1OTq1auy9xMTE7l9+zaenp6ybdy6dUtuuzdu3Mh1v3fv3iUlJYW5c+dSvnx5XF1d+fjx43fl3cjIiEKFCnHz5k3ZsqSkJO7evZvreh4eHnLrfEt+/6tevXoxY8YMGjduzMWLF3NNq6WlhaGhodxLS0sr13Uy09DQwNXdk7u3M2JMSUnh3u2bFCnmrXCdIsW8uXtb/jO4c/O6XPovjZIf3r5l3tI1GBkbf3Oe/gsNDQ1c3Ty4f0c+nvt3buJZVHE8nkW95dID3Lt1A4/09BoaGrh5FOHd2wC5NB/evsHCUnlz42hoaODk6s6jexkPj0pJSeHhvdu4ehbL032lpqTIGqWURUNDEzcPT+7eyjh2UlJSuHPrJkW9FJdN0WLFuXNL/li7dfM6Rb2KA1DYyhozc3Pu3Moov9iYGJ4+fpjjNvNKjt+dO//tu6NIakoKiZ/zvnz09PSwsbWTvRwcndM/z4w8ZnyexRVu40u53slWrjdk67h7FEFdXV0uzZuA1wQFBVIsh+3+aDcfvKZaWfk54mqWd+fmw9cAJCYlc9/3HdXLZaRRUVGhellXbqWnURZ1DQ1snd149iDjepWSksKzh3dwdC+a43on927h2M719JswDzsXxT9UskpNVe65ICkllRehsRS3yhgNoAIUtzLkWXBMzitmoqoCdqY6hH9Ka8hUU1VBQ01V7gcxQEoqqKDcHw5JKan4B8dQytZYtkwFKGVrnOMw8kcfo7Ay1pbLmY2JDmExCdkaJas6mzFw1yMCo35MT5Vf7Rrq5u7JvSzn6Lt3buCZyzk6c3pIO0fnlP6L1JQUWUOBsny55mSN597tGzleQzyLeXMvS9ncvZVxzand4HfWbt3Lms27ZS/zAgX5q10nZi1cobxgSIvH2dWDB3czfhOkpKTgc/cW7kUUT4nkXtQLn7vyvyHu37mBe9Hs6fX0DTAyMeXDuze88HtKhcrV8jT/mf1qZZOUksqzwGjK2BvLlqkAZexNeJTDvL0P3kdibaIjd16zNdUhNDrjvPbgXSR2pvLzA9ua6hAUmfcPv8lav3F0Sqvf3L6ZUQ+JiYnh8aOHFMuhvqihoYm7RxFu3ZSv39y+eQOvXOouqamQSmqe1tu+Kx7vfxGP9zfEo+TfCcKvRTRMCkrVu3dv3r17R79+/Xj27BkHDx5kwoQJDB48GFVVVfT09OjVqxfDhg3jxIkTPH36lG7duvHp0ye6dOkCQM+ePXn+/DnDhg3Dz8+Pbdu2sWHDhlz36+zsTGJiIosXL+bVq1ds3ryZFSu+/6I8YMAAZsyYwYEDB3j27Bm9e/cmIiIi13X69+/PiRMnmDNnDs+fP2fJkiWcOHHiu/f9vfr168c///xDo0aNuHLlilL31bJNB44e2MOJIwcJeP2SeTOmEBcXR/3fmwIwdcIoVi2ZL0v/Z6t23Lp+lZ1bNvAm4BXrVy3Fz/cJzVq0AdIaJcePGIzf0yeMnTKD5OQUJGFhSMLCSExU7tADgD9ad+DYob2cOnqQNwGvWDTrH+Lj46jbKC2emZNGs3bZQln6Zi3bcvvGNXZv28jbgNdsWrMM/2dPaPJnK1maFm07cfHMCY4d3MOHd285sHs7169epPEffyk1lt9btOPM0f2cP3mY929es2rBdBLi46hRrzEAi6aPZ8vqxbL0iYmJvH7hx+sXfiQlJSIJC+H1Cz8CP7yTpdmyejFPHtwjJOgjb149T///LlVr1ldqLACt2nbk0P49HDt8gIBXL5k9bTLxcXE0atwMgMnjRrF8ccax1rJNO25cv8q2zRsIeP2KNSuW8uzpY/74K+1YU1FRoWWb9mxcs5LLF8/x8rk/k8ePwrxAQapWq6n0eFq26cDRg5m+OzPTvzvpx9rUCaNYtVTBd2drlu9Oy7R44uI+sWrZAp48ekBQ4Ef8fJ8wY8pYwkJDqFYz+9y2eU1FRYW/2nRgQ/rn+eK5P5PHj8z2efbt8Te7d2yV/d+6bScO7d/D0fRynTVtkly56hsY8HvTP1g0dyZ3b9/k2dMn/DNxDEW9iiutAVlPRxMvVyu8XK0AsLcyw8vVChvLtHngJvdrzJop7WXpV++5goO1GVMHNMHV3oLuLarwR+0SLN6aMQfwoi3n+LtZRdr+Xg43BwsWjf4LXR0tNh1U7s0qgFpNWnHl1CGunz1G4LsAti+fzef4eCrWbATA+vmT2b9xuSz9yb2bObx1NR36j8bMohCRUgmRUgnxcWm9VRLi4ziwaQWvnj1GEhLImxfP2LRwKhGSMEpVzr2n/n+1/1EQdd0LUNPVHBtjbfpUsUdbQ5XTfmnzYg2u7kjHstay9K1LFqaEtSGWBlo4mesytIYTBQ20OOmbNg1KXGIKDz9G0bm8DcUKGWBhoEktV3NquJpzPUCqMA95aefdDzQqZkk9z4LYmeowpJYTOhpqHHscDMCYeq70yDTP2oEHgRhqqzOghiM2JtpUcDChfTlr9vkEytIMrulEHY+CTD7mx6fPyZjqamCqq4GmuvKr+r/SNbRFmw4cObiXE0cO8ub1K+bPnEJ8pnP0tAmjWbV0QUbssnP0xvRz9LL0c3RrIO0cvXrZQrlz9Mwp4wgNDaFazToKcpDH8bROj+dopnji46j3JZ6Jo1mdOZ6/0uLZtXUjbwNesWF1ejwt0uIxMjLGwclF7qWmro6pqTm2dsp9qBdAs7/ac+LIPs4cP8TbgFcsnTuVhLg4ajdoAsCcf8ayfsUiWfomf7bh7s1r7NuxiXdvXrNl3XKeP3vK780zjrXL50/x8P5tAj++5/rl84wZ3JPyVapTsmxFpcbyq5XNtpvvaFqiMA2LWWBvpsvI+q7oaKhy+GHaeWri7+70qZaRj713P2Koo86QOs7YmupQydmUThXt2H0340nO22+9p5iVIZ0q2mJtokPdIgVpVqIwu+8o/2nPKioqtG7bgbWrV3DxQlr9ZsLYkRQoUJBqNWrJ0vXq9jc7t2fUb9q278iBfbs5cugAr1+9ZPo/k4iLi+P3pmn1m/fv37F+7Sp8nz4hKPAjD3zuM2LoQLS1tKhUuapy42nXgbWrVnDx/Dle+PszYYyCeLpmiadDRw7s3c2Rg7nEsyZLPEOUH4/w6xFDuQWlsrKy4tixYwwbNgxvb29MTU3p0qULY8eOlaWZMWMGKSkptG/fnujoaEqXLs3JkycxMUn7MWhra8vevXsZNGgQixcvpmzZskybNo3OnTvnuF9vb2/mzZvHzJkzGTVqFFWrVmX69Ol06PB9Q82GDBlCYGAgHTt2RFVVlc6dO9OsWTMiIyNzXKd8+fKsXr2aCRMmMH78eGrVqsXYsWOZMmXKd+373xg4cCApKSk0aNCAEydOULGicipVNerUJyJCyrqVSwiXhOHs6s7sRStkQ2lCggJRVcn4MVTUuwTj/pnJ2uWLWb1sIdY2dkydswhHZxcAQkNCuHop7cd8l7Z/yu1rwYp1lMj0lGllqFarHhFSKRvXLEMqCcPJxY1p85fLJhkPCQ6Sm2uoiFdxRk2awYZVi1m/YhFWNrZMnLkQBycXWZrK1WoyYPg4tm9ay9J5M7G2s2fCtHkU9S6p1FgqVa9DZISUHetXECGV4ODkytiZi2WTv4eFBKGS6ZGHUkkoQ7u3kf1/aNdmDu3aTBHvUkyevwpIm6R98YzxSMPD0NXTx87RhXEzl+BdWv7pkMpQq259IqThrF6edqy5uLkzb8lK2bEWHBSIaqZ4inmXYNLUWaxatoiVSxZgbWvHjHmLcXLOKJt2HbsQHxfHzH8mEhMdjVfxksxbsvK7eg7/WzVq1ydCKmXdqkzfnYWZvjvBgahmOtaKepVg3JSZrF2R6bszexGO6ceaqqoabwNec/LoISIjpBgaGePuWZRFqzbi4PRjptdo17ELcXFxzPhnguzznL9kldzn+eH9OyIjMhp8atWtj1Qazprli5Gkl+v8TOUKMGDISFRUVBk1bACJnxMpV6ESw0Ypb97Zkp52nFozQPb/rKF/ALD50A26T9iCpbkhNpYZw6DffJTQrN8KZg1tTp821fgQHEGvyds4c91XlmbPqXuYm+gzvldDLMwMeOj3gSZ9lmZ7II4ylK5Si+jICA5vW02UNBxrRxf6TZyHoUlaDOGhwahkOk9fPL6fpKREVs2Qn56hYavO/N6mK6qqqgS9f8P1c8eIjYpEz9AIO2d3hs5YRmFb5T4I6/LLcIy01WlX2goTXQ1ehX1i/DE/2QNxCuhryo3M0NdSp39VB0x0NYhJSOJF6CeGHnjKu4iMXjazzrykYzlrhtZ0wkBLnZDoBDbdes+xpyHZ9p/XzvmFYayjQZdKtpjqavIiNJahex8jTe/RaWGoJRdPSPRnhux9Qr9qDqzvUJKwmAT23PvI1tvvZWmapT+pdvFf8j3Bpp3w5/gT5cb0K11Da9SuR4Q0nPWrlsrO0bMynaODgwPlrqFFvYozbsoM1q5YwpplC7GyseOf2Qu/co4uwuIfdI6uUbsekRHhbEiPx8nVnZkLsl5z5OMZO2UG61YsYc3ytHimzJIvm/z0W826REVI2bx2OdLwMByd3Zg8Z5nsWAsNDkQ103BJz2LFGT5hGptWL2XDqsVYWdsybtp87DM9sTpcEsbqJXPThnibFaBmvUa07thd6bH8amVz2jcUYz1NevzmgJmeJv7BMfTf8VD2oC9LI20yz5YVHJ1A/+0PGVTbmW3dChMancCO2+/ZdP2tLM3TwGiG7XlCn+oOdK1iz8eIOOadfsEJJZ/Tvuj4d1fi4+KYNnkC0dFRFC9RkkXL5Os379+/JSJT/aZOvQZIpVJWLFuEJCxtmPTiZatkU9VoaWpx/94dtm/ZRFRUFGZmZpQoVZq1m7bnOGWEUuNZriAe6VfiWf6/Ec/PRozkzp1K6o+aUE8QhP9ZQVHK75X4o3xOSvl6op9I1DfOofazKGSsnd9ZyDOJSb/W5fNH9Kz6kawqD/h6op/EsR2T8jsLeWrOhZf5nYU8FfUD5nL8Ubb+XSa/s5CnNNR+rV+Cv9KvtrjPyfmdhTylo6mW31nIU02WXsvvLOSZc0N+sZ57v9ZpDQOtX6v+mZPqC/PvO3V+gHJ7gOeF/x9HgSAIgiAIgiAIgiAIgiD8YCoqKvn2+l5Lly7F3t4ebW1typUrl+15H1lFRETQp08fChUqhJaWFq6urhw7duy79imGcguCIAiCIAiCIAiCIAjC/2M7d+5k8ODBrFixgnLlyrFgwQLq1q2Ln58fBQsWzJb+8+fP1K5dm4IFC7Jnzx6srKx48+YNxt/5IFvRMCkIgiAIgiAIgiAIgiAISvCzzDE5b948unXrxt9//w3AihUrOHr0KOvWrWPkyJHZ0q9bt47w8HCuXbuGhoYGAPb29t+9XzGUWxAEQRAEQRAEQRAEQRB+MQkJCURFRcm9EhISsqX7/Pkzd+/epVatjCe1q6qqUqtWLa5fv65w24cOHaJChQr06dMHCwsLihYtyrRp00hO/r55hEXDpCAIgiAIgiAIgiAIgiD8YqZPn46RkZHca/r06dnShYWFkZycjIWFhdxyCwsLgoKCFG771atX7Nmzh+TkZI4dO8a4ceOYO3cu//zzz3flUQzlFgRBEARBEARBEARBEAQlUM3HsdyjRo1i8ODBcsu0tLTyZNspKSkULFiQVatWoaamRqlSpfjw4QOzZ89mwoQJ37wd0TApCIIgCIIgCIIgCIIgCL8YLS2tb2qINDc3R01NjeDgYLnlwcHBWFpaKlynUKFCaGhooKamJlvm4eFBUFAQnz9/RlNT85vyKIZyC4IgCIIgCIIgCIIgCIISqKjk3+tbaWpqUqpUKc6ePStblpKSwtmzZ6lQoYLCdSpVqsSLFy9ISUmRLfP396dQoULf3CgJomFSEARBEARBEARBEARBEP5fGzx4MKtXr2bjxo34+vrSq1cvYmNjZU/p7tChA6NGjZKl79WrF+Hh4QwYMAB/f3+OHj3KtGnT6NOnz3ftVwzlFgRBEARBEARBEARBEIT/x/766y9CQ0MZP348QUFBFC9enBMnTsgeiPP27VtUVTP6N9rY2HDy5EkGDRqEl5cXVlZWDBgwgBEjRnzXfkXDpCAIgiAIgiAIgiAIgiAogUo+Pvzme/Xt25e+ffsqfO/ChQvZllWoUIEbN278p32KhklBEHgdEpvfWcgzyamp+Z2FPLXPN/jriX4i/Sva53cW8szWB+/zOwt5qkc5+/zOQp46tmNSfmchzzRo9e1PNfwZjJg5IL+zkKe8LQ3yOwt5RhrzOb+zkKc01H+tWau0NH6deEKjEvI7C3nKwlg7v7OQp/rWdcrvLOSZlF/rpwE/T/OWIHw70TApCIIgCIIgCIIgCIIgCEqgKlqUc/Xr3HYTBEEQBEEQBEEQBEEQBOGnIXpMCoIgCIIgCIIgCIIgCIIS/ExzTOYH0WNSEARBEARBEARBEARBEIQfTjRMCoIgCIIgCIIgCIIgCILww4mh3IIgCIIgCIIgCIIgCIKgBGIkd+5Ej0lBEARBEARBEARBEARBEH440WNSEARBEARBEARBEARBEJRABdFlMjeix6QgCIIgCIIgCIIgCIIgCD+caJgUBEEQBEEQBEEQBEEQBOGHEw2Twg8XEBCAiooKPj4+AFy4cAEVFRUiIiKUut9q1aoxcOBApe7je2SNe8OGDRgbG+drngRBEARBEARBEARByDuqKvn3+hmIOSaFb/bu3TsmTJjAiRMnCAsLo1ChQjRt2pTx48djZmb2r7dbsWJFAgMDMTIyysPc/nz++usvGjRokN/Z+GZnjuzm+N6tREol2Dq40K7nEBzdiihMe+HEAa6dO8b7gFcA2Du782fHXnLp71w9z/nj+wh48YzY6CgmLdqMnZPrD4kF4NyRPZzYt4VIaTg2Ds606ZFzPBdPHOD6ueN8eJMWj52zG807ZMSTlJTE/s0reHTnOqFBH9DR08fTuwx/dOqNiVkBpcdSyd6Y6s5mGGip8TEqgf2PgnkbEf/V9YoXNqBDaSseBUaz/vYHufcK6mvSyLMATma6qKqoEBydwIY7H4iIS1JWGDKH9u5gz7aNhIeH4ejsSu9BI3H3LJZj+kvnTrFx9VKCgz5iZW1Ll14DKVuxiuz9upW8Fa7XtfcgWrTtlNfZz+bZxSM8Ob2XuCgpptYOlG3ZE3N7t6+u9/rORS6vm4WNV3mq9xwnW56amsqDI1t4fvUkn+NiKeDoQfnWfTAsaKXMMADYu2sb2zatJ1wShrOLG4OGj8azqFeO6c+dPsnq5YsJCvyAtY0dvfoPpmLlqnKxrFmxhMP79xAdE42XdwmGjhqPja2d0mMBuHB0L6f2byVKGo61gzN/dR+Mg6unwrSXTx7k5vkTfEw/D9g6u9GkfU+59Ie3reHO5TNIw0JQV9dIS9OuBw45nFvySqWSTgzqUIuSnrYUKmBEy0GrOHzhYa7rVCnlwswhzfF0suR9UAQz1pxgy+Gbcml6tKzKoI41sTAz5JH/BwbP3M2dJ2+UGYqM/6UjPDu7j7goKSZWDpT6swdm3/C9eXP3Itc2zMaqWHmqdh8LQEpyEg+PbObjkzvESILQ1NbDws0b7yad0DX69/WZ73H9xH4uHtpBTEQ4heycaNx5ADYuHgrT3jpzmHsXTxL07jUA1o5u1G3dTS59QtwnTmxdxZPbV/gUHYlpwUJUbPAH5es0+SHxnDi4i8O7NxMRLsHOyYXOfYbh7F5UYdp3AS/ZuXEFr58/IzQ4kI69BtOweRu5NLs2rWTP5tVyywrb2LFg3V6lxfDFsf07ObBzExHhEuydXOnafziuHopjefv6JdvXL+elvy+hwYF07jOE3/9sK5dm79Z13Lh8jvdvA9DU0sK9iDcduvfHytZe6bEAHN67g73bNyINl+Dg5EqvQSNwy+UaevncKTavWUZw0EcKW9vSudcAylTIuIbGffrE+hULuX75PNGRkVgUtqLxn61p2LTFjwhHrv5pk17/dMql/nlVQf0zc/rU1FT2b1nFhZMH+RQbg4uHFx37DMfSylbpsXyp30gz1W9yK5tL506xKVP9pnOW+k29HOo3XX5Q/ebOqYPcPLqLmMhwLGydqNOxL4Wd3BWmfXb7MtcObkca/IGU5GRMLKwo1+BPilWpLUtzae9Gnl6/QHR4KGpq6lg6uPBby85YOSs+V+a11NRUVi1fzIF9u4mJjsareAlGjJ6ArZ19ruvt3rGVLRvXIZGE4eLqztARYyhSLK1uFBkZwarlS7h5/SrBQYEYm5jyW/Wa9OzdH30DA6XHs3KZfDwjx3w9nl1f4glLi2fYyCzxLFvCjUzxVKtek559lB+P8GsRPSaFb/Lq1StKly7N8+fP2b59Oy9evGDFihWcPXuWChUqEB4e/q+3rampiaWlJSoqP0lz/nf6/PnzN6XT0dGhYMGCSs5N3rh56TQ7Vi+kaZsuTFq0ERsHZ+aMG0BUhOLj4Nmje5SrWocR05cxdu4aTAsUZPa4/kjDQmRpEhLicPX0puXffX9UGDK3Lp1m55qFNG7dlQkLN2Lj4ML88QNzjMfv0T3K/labYdOXMnrOakwLWDBv/ABZPJ8T4nn70o/fW/3NhIUb6TN6BkEf3rB4yjClx1K8sAFNihTkpF8Y8y4G8DEyge7lbdDXVMt1PRMdDRoXKchLyads75npatCvsh0hMZ9ZdvUtcy685rS/hKTkVGWFIXPhzAlWLZ5D2849WLpuB47ObowZ3IsIqURh+iePfJg+cST1GjVj2fqdVKxSnUmjBhLw6rkszfZDZ+Veg0dPQkVFhcrVaik9ntd3LnFn72q8G7ah0ahFmFg5cGbxOOKiI3JdL0YSzN19aynonP3H15PTe/C9cJhyrfvQYNg81LW0ObN4HMmJ33bu+bfOnDrO4nmz6Ny9N+u27sbZ1Y3BfXsgDVdcNo8e3GfimGE0atqc9dv2UKVaDUYN6cerFxlls3XjWvbs2Mqw0RNYvXE72jo6DO7bnYSEBKXGAnDn8hn2rF1Eo1adGT1/Pdb2ziyeMCjH84D/4/uUrlqLQVMXM3z2SkzMC7JowkCkklBZGgsrW1r1GMK4xZsZOnM5ZgULsXDCQKIjpUqNRU9Hi0f+Hxg4fec3pbcrbMb+xT25dMefcq1msGTbeZaPb0OtChk//v6sU5KZQ5oxdeVxKrSZyUP/Dxxa1ocCJvrKCkPmzd1L3N+/hqL1W1Nv+EKMrRw4v2w88d/wvbl/YB0FnOS/N0mfEwh/95Ki9VpRb/hCKncdTXTIBy6vnKLEKDI8uHqOIxuXUqtFR/rNXE0hOyfWTh1KTA7HxasnPnhXrkn3CQvoPXUZRmYFWPvPUCIzHWtHNy7F3+cWf/Ufw+AFm6jU8E8OrV3I09tXlR7PtQun2LRyPn+268bM5Vuwc3Rl6qh+REoVf3cSEuKxKGRNmy59MTbNuSHYxt6RVTtPyF6T569VVggyV86dZP3yefzVsTtzV23D3smFycP7EJFbLIWtaN+9Pyam5grTPHlwl/pNWzJz6UYmzl5OclISk4b3Jj4uTpmhAHDx7ElWL5lLm797sHjtdhydXRk3uHeO8Tx95MPMSaOo06gpi9ftoEKV6kwZNYiAVy9kaVYvnsPdm9cYNm4qK7fuo2mLNiyfP4MbVy4oPZ6bl06zffVCmnxH/bN81TqMnL6Mcen1zznj+hOeqf55bM9mTh/eRac+Ixg/by1a2trMGTeAz5+Ve925eOYEqxfPoV3nHiz5hvrN00c+zJg4krqNmrF0/U4qVKnO5Cz1m22Hzsq9fmT95un185zduoLKzdvT+Z8VFLR1ZMeMkcTmcF7T0TOgUpM2dJy4iK7TV+H1W12OrJrNq4e3ZWnMLK2p26kvXWesov2EBRgVsGTHjBHERkUoPR6ATRvWsHPbFkaOmci6zTvR0dGlf+9uudZJTp88xoK5M+naow+btu/FxdWN/r27EZ5eNwoLDSEsNIQBg4ezfc8hxk+exvWrl/ln0ljlx7N+DTu3b2HU2Ims35IWT79eucdz6sQxFsxJi2fzjr24uLnRr1c3wiVp8YSGhBCaHs+OvYeYkB7PlInKj+dno6Kikm+vn4FomBS+SZ8+fdDU1OTUqVP89ttv2NraUr9+fc6cOcOHDx8YM2aMLK29vT3Tpk2jc+fOGBgYYGtry6pVq3Lcdk5Dmk+ePImHhwf6+vrUq1ePwMBAufXWrFmDh4cH2trauLu7s2zZsq/GkZSURN++fTEyMsLc3Jxx48aRmprRuCKVSunQoQMmJibo6upSv359nj/PuOBLJBJat26NlZUVurq6FCtWjO3bt8vto1q1avTt25eBAwdibm5O3bp1ATh27Biurq7o6OhQvXp1AgIC5NbLOpR74sSJFC9enM2bN2Nvb4+RkRGtWrUiOjpaliY6Opq2bduip6dHoUKFmD9//g8Zsn5y/3Z+q9eEKrV/x8rWkY59R6Kprc2lU4cVpu85bDI1G/2JnZMrhW3s6dx/DKkpKTx9cEeWplKNBjRp0xXP4mWUmndFTh3YTtW6TahcuxGFbR1o32cEmlraXDl9RGH67sMmU6Phn9g6ulLIxp5O/UaTmpKCb3o8unr6DPlnMWWq1MLS2g4n96K07TmUNy+eIQkJUmosvzmZcuNtJLffRRIc85k9D4NITE6hrG3OPZJVgHalCnHSLwxJbGK29xt4FMA3OIYjT0P5EJWA5FMiT4JjiPmcrMRI0uzbuZl6vzenbsOm2Dk40X/YWLS0tDl55IDC9Ad2baV0uYq0aNsJW3tHOnbvi7OrBwf37JClMTUzl3tdv3wB75JlKGRlrfR4fM/tx6VSPZwr1Ma4kC3lW/dFTVObF9dO5bhOSkoyl9fPxrthWwzMLeXeS01NxffcQbzq/YWtdwVMrB2o3HEInyLDefvgulJj2bllI783+5OGjZvh4OjMsNET0NLW5sjBfQrT79q+hXIVKtO2Q2fsHZzo3rs/ru6e7Nm1TRbLrm2b6dilB1Wq1cDZxY1xk6YTFhrC5QtnlRoLwJmDO6hUpzEVa6WdB9r0Ho6GlhbXzig+D3QZMpFqDf7AxtEVS2t72vcdRWpKCn6Zzmtlf6uDR/EyFLC0orCtI3926U/8p1g+BLxUaiynrj5l0rIjHDqfey/JL7r9WZmADxJGztuP3+tgVuy8xP6zPvRrW12Wpn+7Gqzfd43Nh27w7FUQ/abuIC7+Mx2bVlBWGDJ+5w/gVKEujuVrY1TIljJ/9UFdU4tX10/nuE5KSjLXN86hWIO26JvJf280dfSo0fcfbEtWwdDCGnMHd0q16En4uxfEhofksMW8c+XILsrWbETp6g2wsLGnafchaGpqc+fcMYXpWw0YR4W6zSjs4EJBKzv+6Dmc1NQUXjy+K0vzxv8JJavVxalICUwLFqJc7cYUsnPi3QtfpcdzZO9WatZvSvV6jbG2c6TbgFFoamlz/uQhhemd3YrQvvsAKlWvi4aGZo7bVVVVx9jUXPYyNDJWUgQZDu3eSu2GzahZvwk29o70HDwGLW1tzh4/qDC9i3sROvUcRJUadVHX0FCYZvyspdSo1xhbByccnF3pN3ISocFBvPR/qsxQANi/I+0aWqdhU2wdnOg7bCxa2tqcyuEaenD3NkqVq8ifbdKuoR269cHJ1YPDezOuob6PH1Cz/u94lSyDRSEr6jf5E0cnV/yePlZ6PCfS659V0+ufnb6z/tml/xhSMtU/U1NTOXlwB7//9TclK/yGrYML3YdMJCI8jHvXLyo1li/1mzrp9Zt+/7J+c+h/pH5z6/heildvgPdv9ShgbUf9zgNR19LiwcUTCtPbeRbHrUxlzK3sMLEoTNl6zSlo68g7v4zjqEilmjgULYVJwcIUsLanVtueJMR9IuTtK6XHk5qayo6tm+jcrSe/Va+Ji6sbE6fMICw0hIvnz+S43rbNG2navAW/N22Oo5MzI8dORFtbm8MH0upGTs6uzJy7iCq/VcfaxpYyZcvTq+9ALl88T1KS8kYhpaamsj1LPJP+SY/n3NfjaZwez6j0eA6lx+Ps4sqseYuoWi09nnLl6dVP+fEIvx7RMCl8VXh4OCdPnqR3797o6OjIvWdpaUnbtm3ZuXOnXAPf3LlzKV26NPfv36d379706tULPz+/b97np0+fmDNnDps3b+bSpUu8ffuWoUOHyt7funUr48ePZ+rUqfj6+jJt2jTGjRvHxo0bc93uxo0bUVdX59atWyxcuJB58+axZs0a2fudOnXizp07HDp0iOvXr5OamkqDBg1ITExrrImPj6dUqVIcPXqUx48f0717d9q3b8+tW7ey7UdTU5OrV6+yYsUK3r17R/Pmzfn999/x8fGha9eujBw58qufw8uXLzlw4ABHjhzhyJEjXLx4kRkzZsjeHzx4MFevXuXQoUOcPn2ay5cvc+/evW/6jP+tpMREAl48w7N4WdkyVVVVihQvw8tnj75pGwkJ8SQnJ6NnYKisbH6zpMRE3rzwwyNTg6iqqiqeeRxP3KcYVFRU0NVX3rAGNRWwNtLGPzRWtiwV8A/7hL2JTo7r1XEzJyYhmZtvI7O9pwJ4WOgRGvuZ7uWtmVTXmQFV7ChqqfxeUomJiTz386VkmfKyZaqqqpQoXZ6njxU3uPg+eUiJ0uXllpUqVxHfJ4rTS8Ml3Lp2mbqNmuVdxnOQnJSI5O0LCrkVly1TUVWlkHtxQl8/y3G9h8e2o21gjEulutnei5EEERclpZB7xjY1dfQoYO9G6Kuct/lfJSZ+xu/ZU8qUzWiUUlVVpXTZ8jx+9EDhOk8e+lC6nHzZlKtQiScPfQD4+OE9EkmYXBp9AwM8i3rx+KHibeaVpMRE3r7ww6N4adkyVVVVPLzL8OrZt/3Y/pwQT3JyEro5nAeSEhO5fPIgOnr6WDs450m+80o5bwfO35S/Rp++5ks5LwcANNTVKOFhw7lMaVJTUzl304+y6WmUJTkpkfB3L7DM8r2xcCtOWEDOx/iT4zvQNjDCqUKdb9pPYtwnUFFBU0e557akxEQ+vPLH2auUbJmqqirOXqV44//km7aR+DmB5KQkdPUzjjU71yL43rlKpCSU1NRUXj6+R2jgO1y8lXuzLykxkVf+zyhWspxsmaqqKsVKlsX/6bc1jOck6ONbevxVj77tm7Bo+ljClHxjLzExkZf+vniXko/Fq2Q5/HK4hvwbn2LTbjDrGyp3CqPExERe+PtSvLR8PMVLl+NZDvE8e/yQEpnSA5QqV4Fnma65HkW9uXnlAmGhwWlTidy7zYd3byhZVrk3Kb7UP4soqH+++M76mn76eTo06CORUoncNnX19HF0K/LN2/w3vtRvSiio3/j+pPWbwNf+2BctKVumoqqKQ9GSfHj+9Qb41NRUXj++R3jge2zdFU8Hk5yUyP3zR9HS1cPCzinP8p6Tjx/eIwkLo2y5jONa38CAIsW8ePRAcZ0kMfEzz3yfUKacfN2oTLkKPEqv6ygSExONnr4+6urKm2XvQy7xPMyhjvUlnrLl5eMpWz7/4/kZqajk3+tnII4W4aueP39OamoqHh6K5/Pw8PBAKpUSGhoqG4rcoEEDevfuDcCIESOYP38+58+fx83t6/NBQdoFe8WKFTg5pV14+vbty+TJk2XvT5gwgblz59K8eXMAHBwcePr0KStXrqRjx445btfGxob58+ejoqKCm5sbjx49Yv78+XTr1o3nz59z6NAhrl69SsWKFYG0BlAbGxsOHDhAixYtsLKykmsg7devHydPnmTXrl2ULZtRqXFxcWHWrFmy/0ePHo2TkxNz584FkO175syZuX4OKSkpbNiwAYP0OTrat2/P2bNnmTp1KtHR0WzcuJFt27ZRs2ZNANavX0/hwoVz3WZCQkK2LvufExLQ1NLKdb0voqMiSElJxsjYVG65obEpge++ba6x3euXYmxqni+9I7P6Eo9htnhMCHwf8E3b2LMh93gSPyewZ/1SylatjY6u3n/Nco70NNVRU1UhOkH+DmV0QhIF9XUVruNgqkM5WyPmXgxQ+L6+lhra6mrUcDbj+LNQjjwNxb2gHp3KWLH82lteSpQ3FC0qQkpKcnK2oX4mpma8e/ta4TpSSRgmCtJLJWEK058+fggdXV0q/1YzbzKdi4SYKFJTUtAxNJZbrmNgTFTwO4XrBL94wotrp2g0erHC9+PSh0hpG5rILdc2NCYuSnnDhSMiIkhOTsY0y/zCpmZmvA1QXDYSSRimWcrG1NQMSfpwoPD0MjLNMhwyLY3i8ssrMTmcBwyMTQn68G3ntX0bl2Fkao6Hd2m55Q9vX2Xt7PF8TojH0MSMAZMXoJ/lGMhvFmaGBIdHyy0LCY/CyEAHbS0NTAx1UVdXIyRrGkkUbvYWSs1bQmza90Y7y2embWBMdPB7heuEvnzCyxunqD9i0TftIznxMz6H1mNXqioaOorPlXnlU3QkKSnJ6BvJf2f1jUwI/fD2m7ZxfMsKDE3NcS6W0bjZuMsA9q2cw/Sef6KqpoaKiirNew7F0VPxnHN5JSoy7btjbCL/3TE2MeXju4B/vV0X96L0HjqRwjZ2SCVh7NmymvGDujJ39U6lXUej02MxUhDLh7cBebKPlJQU1i6Zg3vR4tgp+QZFVGTaNTTrNdHY1Ix3bwIUriMND8PYJEt6EzOk4Rnn4F6DRrJo1mQ6NKuLmpo6KqoqDBg+nmLFS2XdXJ7Kqf5p9B31z11Z6p+R6cOms5a5obFpjlMR5IWc6jfGX6nfKEqfU/3mTHr9ptIPqN98io4kNSUFvSznNT1DEyQfFddvAOI/xbC4byuSkxJRUVWlXqf+OBSTP46e37vBgSX/kPg5AX1jU1qPnImugfKfSyAJS6+TZK3nmJojyTSNRmYR0pzrRm9yqBtFSKWsW72cps1b5kGuc/YlnqzPhTAzM0cS9v3xBLzOOZ61q5bT7A/lxiP8ekTDpPDNMveI/Bovr4y7XSoqKlhaWhIS8u3Do3R1dWWNkgCFChWSrR8bG8vLly/p0qUL3bp1k6VJSkr66gN0ypcvLzfPQoUKFZg7dy7Jycn4+vqirq5OuXIZd4rNzMxwc3PD1zdtKFRycjLTpk1j165dfPjwgc+fP5OQkICurvwPmVKl5C+qvr6+ctv9su+vsbe3lzVKZv0cXr16RWJiolyDqJGR0Vcbf6dPn86kSZPklnXuN4Ku/b/egzMvHNm1kZuXTjNyxjI0Nb+tMfR/2bHdm7h16QzDpy9FQ0E8SUlJLJ8xhlRSad9nRD7kMGdaaqq0KVGIXQ+CiM1hWLYKad+XJ0HRXHqV1tD1MSoBe1MdKtiZKLVh8kc4eeQANeo0+OaG+R8pMf4TVzfOpULb/mjr//9+ONj/uhN7NnHn8hkGT81+HnArVpIxCzYSExXBlVOHWD1zHCPmrM7WCCrkjcT4T1zfNI+yrfqh9Q3fm5TkJK6umwGpUKZlnx+Qw//mwv6tPLh6ju6TFsoda9eO7+Ot/1M6jJiGSQFLXj99wME1CzA0McfFq3QuW/zfVKJsJdnfdo4uuHgUpXfbRly/eJoa9ZvmX8b+o1ULZ/D29UumLV6X31n51w7t2c6zJ4+YMGMhBS0L8fjBPZbNm46peQG5HoD/a361+ufX/C/Xb77Q0taly7SVJMbHEfDkPme2rsC4YCHsPIvL0th5etNl2krioiPxOX+M/Yv/odOkxdkaQf+rE0cPM/2fibL/5y9enqfbVyQmJoZB/Xri4OhM9555e/05fvQw06dMlP0/f8mPiWdgX+XEI/z6RMOk8FXOzs6oqKjg6+tLs2bZhwP4+vpiYmJCgQIZTxvWyDLPjoqKCikpKd+8T0Xrf2kYjYmJAWD16tXZGvvU1HJ/wMd/NXv2bBYuXMiCBQsoVqwYenp6DBw4MNsDbvT08uZu/n/9HBUZNWoUgwcPllt2/923Ny4ZGBqjqqpGZJaJxqMiwrPdcc7q+N4tHN2zieFTl2Dj4PLtmVaiL/FknTg9KkKKUZZeA1md2LeVY3s2MfSfxQrjSUpKYsWMMUhCghg2balSe0sCxH5OIjklFQMt+VO7gZY60fHZ53kx09PATE+TLmUz5h760m4/u5EbM869IiIukeSUVIKi5Y/xkOjPOJjlPDw8Lxgam6CqpkZEloepSMMlOT5kwMTMPNvDV6ThEkzMsqd/5HOP928DGD15Vrb3lEFL3xAVVVXiskzaHhcdka3HI0B0aCAxkmDOLc+4kfDlPLi57+80nbAKnfSKeXyUFF2jjO9ffFQEJtaOSogijbGxMWpqarLJz78Il0gwNVdcNmZm5rLJ32XpwyWyu/em6WUUHh6GeabrSXi4BBdXxU/1zCv6OZwHoiPCv9qAeGr/Nk7u3cLAyQsVDtHW0tahYGFrCha2xtG9KON6tOTa6SPUa9EhT2P4L4IlUViYyk8zUdDUkMjoOOITEgmTxpCUlEzBrGnMDAmSRCk1b1p6ad+b+Czfm/gcvjcxYUHEhgdzaVXGKIsv35sdAxrTcOxKDAoUAjIaJWPDQ6jRf5rSe0sC6BoYoaqqlu1BNzGRUvS/cqxdOrSDCwe20XX8XAplGsqYmJDAyW2raT/sH9xLpd30LGTnxMeAF1w+tFOpDZOGRmnfnawPU4mQhmfrefdf6OkbUNjajqCPinvJ5gWD9Fiy9pSLkIbn+pCeb7Vq4QzuXL/M1IVrMC+g3J7GAIZGadfQrNfEiHCJ7HyblYmpebaHr0RIM665CQnxbFy1mLHT5lG2YlUAHJxdefncj33bNym1YTKn+mfkN9Q/j2Wqf9pmqq99qedFSsMxzlSviIoIx9ZRefXUnOo3EV+p3yhMr6AsH//g+o2ugREqqqrZHnQTGyXNtQFRRVUVU0srACzsnQn7+JZrh7bLNUxqauukpbG0wsrFk+WDO/LgwnEqNmmTpzFUqVZD9qRpyHh4abhEgnmBjIeThoeH4eqqeBShsUnOdSOzLHWj2NhYBvTuhq6eLrPmLc5xjtp/q2q1GhRVEI8kSzwSSRiubnkTT//0eGbPz/t4fgWqP8uY6nwi5pgUvsrMzIzatWuzbNky4rI8QTAoKIitW7fy119//bAnPllYWFC4cGFevXqFs7Oz3MvBIfe5rm7evCn3/40bN3BxcUFNTQ0PDw+SkpLk0kgkEvz8/PD09ATg6tWrNGnShHbt2uHt7Y2joyP+/v5fzbOHh0e2eShv3LjxrSEr5OjoiIaGBrdvZzy9LjIy8qv50dLSwtDQUO71PXdT1TU0sHd256lPxn5TUlJ46nMbJ/diOa53bM9mDu1Yx5DJC3BwUXwBzA/qGhrYObvh+0A+Ht8HucdzfM9mjuxYx6BJC7BXEM+XRsngj+8YOnWx0ueSAkhOhfeR8biYZzSAqgAu5roESLM3PofEfGbW+VfMvfha9noSFMOLsE/Mvfg6rVEyFd5GxFFQX/4BBQX0NZF+yv6gnLykoaGBi5sH9+9kfCdTUlLwuXsTz6KK5yDyKOKFz1357/m92zfwKJI9/ckj+3Fx88TJ5dummPiv1NQ1MLN1JtDPR7YsNSWFID8fCjhkb3gzsrTh97FLaTR6sexlU6wclq5eNBq9GF0Tc/TNLNExNCHQL2N+oM9xnwgN8KOAo/Ia8zQ0NHFz9+TO7YzzWEpKCndv36RoMcVDR4t4FefuLfnz3u2b1yniVRyAwlbWmJmZc/dWRvnFxsTw9PFDinopdziquoYGts5uPHuQ8TCRlJQUnj28g6N70RzXO7l3C8d2rqffhHnYfeN5LTU1hUQlPzH9e9188JpqZeW/BzXLu3PzYdpQrcSkZO77vqN6uYw0KioqVC/ryq2Hiodz5RU1dQ1MbZwJ8s84xlNTUgj2f4C5ffZj3NDCmvqjllBvxCLZy6poOSxcilFvxCJ0TdJ+TH1plIwO/Uj1vlPR0vsxcx6ra2hg5ejKi0fyx9qLR/ewcy2S43oXD27j7J5NdB4zC2sn+biTk5NITk5CRVW+Hqaqqkpq6n+7mfk16hoaOLq68/h+Rh0nJSWFx/dv4+qp+Dz9b8THfSIo8L1c41Fe09DQwMnVg4f35GN5dO8WbgquId8qNTWVVQtncPPKeSbPW4lFIau8yO5XaWho4OzqwYO78vH43L2Few7xuBf1wueOfH31/u0buKdfc5OTkkhKSkJFRf4npJqqKik/4FjLqf7pnEt97Wgu9c8CloUxMjHjaaY6YNynGF75Pcl1m//Vl/qNj4L6jUce1G9OpNdvHH9g/aaQgysBTzLmuU9NSSHg8X2sXDy/eTupqSkkJ+Vet0xNTSHpK2n+DT09PWxs7WQvRydnzMzNuZ2p3hITE8OTRw8p5q24TqKhoYm7RxG5dVJSUrhz6wbF0us6X7bTr1cXNDQ0mLtgGVpK6NWaYzw3s8fjlUMdSxbPTfl4bt9UEE/PtHjmLVROPMKvT/SYFL7JkiVLqFixInXr1uWff/7BwcGBJ0+eMGzYMKysrJg6deoPzc+kSZPo378/RkZG1KtXj4SEBO7cuYNUKs3WGzCzt2/fMnjwYHr06MG9e/dYvHixbN5HFxcXmjRpQrdu3Vi5ciUGBgaMHDkSKysrmjRpIkuzZ88erl27homJCfPmzSM4OFjWcJmTnj17MnfuXIYNG0bXrl25e/cuGzZs+E+fgYGBAR07dmTYsGGYmppSsGBBJkyYgKqqqtIbies2a83qeZNxcPHA0dWTUwd3kBAfT5XajQBYNXciJmYFaNEprRv/0d2b2L9lFT2GT8a8YGHZHV9tHR2003uoxERHIgkJJiI8bZ6TL/O6GZmY5UlPhdzUadqatfOnYO/igYOrJ2cO7iQhPp5KtRoCsGbuJEzMCvBHp7R5U4/t2cTBLavpNmwS5haFZHMUaWmnxZOUlMTy6aN489KPAePnkpKSIkujp2+o1LuIF1+G07pEId5FxvFWGs9vjiZoqqly613ag21alyhEVHwSR31DSVLQEzIuMe2HReblF16E0760Fa8kn3gh+YR7AT08LfRZdu3b5kP7L5r/1Z45U8fh6l4EN8+i7N+1hfj4OOo0bArArCljMDcvSOdeAwBo2rItw/p0Yc/2jZStWJWLZ07w/NkTBo4YJ7fd2NgYLp0/Rfe+Q5QeQ2YeNZpxddM8zO1cMLNzxff8QZIS4nGuUBuAKxvmomtsRsmmnVDT0MSksL3c+prpvW4zL/eo0YRHx3dgWLAw+maW+BzejK6RKbbeyn0QwV/tOjJ1wmjcPYrgWbQYu7ZtJj4ujoaN03rWTxk/CvMCBenVbxAALVu3o0+3TmzfvIGKlaty5tRxnj19zIgxE4G0hq6Wbdqzce1KrG1tKVzYmtXLF2NeoCBVqil/jqxaTVqxYcE/2Dm7Y+/qyblDO/kcH0/FmmnntfXzJ2NsWoBmHXsBcHLvZg5vXUPnoRMxU3AeSIiP4/iujXiVrYyRqRkxUZFcPLqXCEkYpSrXUGosejqaONlk9Dq1tzLDy9UKadQn3gVJmdyvMYULGtF13GYAVu+5Qs9WVZk6oAkbD96gWhlX/qhdgmb9V8i2sWjLOVZPbs/dp2+58ziAvm2qo6ujxaaD/+0m27dwq96UG1vmY2qb9r3xu5D2vXEoXwuA65vmomNsRvHGad8b46zfG520782X5SnJSVxZOx3pu5dU7TGe1NQU2Zysmrr6qKkrt6dH5UYt2b10OtZO7tg4u3Pl6B4+J8RRqnp9AHYunoqRaQHqte0OwIUD2zi9cx2tBozDpIAl0enHmqa2Dlo6umjr6uHgWZxjm1egrqmFibklr576cO/iSRp1VP5wukZ/tGXprIk4unri7FaEY/u3kRAfR7W6vwOwZOZ4TM0L0qZLXyDtISbv37yS/R0eFkrACz+0dXSxtLIBYNPKBZQuXwVzi0JIJaHs2rQSVVVVKlfP/hCwvNS4RVsWzZiAk6snLh5FOLJnG/HxcdSs1xiAhdPGYVqgIO279QPS5kSXxZKUiCQshNcv/NDW0aGQlS0AqxbM4NLZ44z6Zz46urqy+Rp19fTR0tJWajzNWrVn3tRxuLh74upRlIO7tpIQF0fthmn12jlTxmJWoCB/9+wPQJMWbRjRtyv7tm+iTMUq6dfQp/QbPl6W52LFS7Fu2Xy0tLQoaFmYRz53OHviCN36Kf96Wi9L/fNklvrnyvT6Z8tM9c99W1bRM4f6p4qKCnWbtOLQjvVYFLahgGVh9m1eibGpOSUr/KbUWL7Ub1xyqN/MnjIGMwX1m73p9ZsL6fWbAQrqN5fzoX5Ttv4fHF45i0IObhR2cuPWiX0kJsTj9Vs9AA4tn4GBiTnVW3UF4NrBbRRydMPYohDJiYm89LnF4ytnqPd3Wryf4+O4dnAbLiUroG9sxqeYSO6ePki0NAyPcsotG0irk7Rq24F1q1dgY2tHYStrVixdhHmBgvxWvZYsXe/uf1OtRi1atmoLQJv2HZk0bhQenkUpUrQYO7ZuIi4ujkZN0upGMTEx9O/Vhfj4eCZPnUVMbAwxsWmjAU1MTJU2+k9FRYXWX+Kxs8Mqczw1MuLp1e1vqteoRcvWWeIpkhbP9i1p8fzeNCOefj3T45n24+L5GYkOk7kTDZPCN3FxceHOnTtMmDCBli1bEh4ejqWlJU2bNmXChAmYmv7YubK6du2Krq4us2fPZtiwYejp6VGsWDEGDhyY63odOnQgLi6OsmXLoqamxoABA+jevbvs/fXr1zNgwAAaNWrE58+fqVq1KseOHZMNqR47diyvXr2ibt266Orq0r17d5o2bUpkZPanGWdma2vL3r17GTRoEIsXL6Zs2bJMmzaNzp07/6fPYd68efTs2ZNGjRphaGjI8OHDeffuHdrayq3olqtam+jICPZvWUWkVIKtoytDJi+QDYmRhAbL3U0/d2wfSUmJLJ02Sm47Tdp0pVnbtHlC79+4zNoFU2TvLZ85NlsaZSmbHs+BLauJkkqwcXRh0OT5snjCQ4PkeqJcSI9n+fTRcttp3LoLTdp2I0ISgs/NywBM7N9eLs2waUtx91LeBPE+H6PR11SjnlsBDLXU+BCVwKob74hJSJtD0kRHg++YLhaAR0Ex7HkQRE0XM5oVsyAk5jMb7nzgdbjy55esVqsekRFSNq1ZhjQ8DEcXN6bOXSabzD80OAjVTMdakWLFGTlxOhtXLWHDysUUtrZlwvQF2GcZknXxzAlIheq16ys9hswcSlclISYSnyNbiIuSYmrtSM2+k9FJH5IaKw3N1uvpa4rU/pOkhHiub1vM50+xFHTypFbfKahpaH595f+gVp36REjDWbNiCeGSMFxc3Zm7eKVsiGBwUKDcTZJi3iWYOHUWq5YvYuXSBVjb2jF97mIcnTPKpm3HLsTFxTFr6kRioqPxKl6SuYtX/pC776Wr1CI6MoLD21YTJQ3H2tGFfhPnYZg+RDA8y3nt4vH9JCUlsmrGGLntNGzVmd/bdEVVVZWg92+4fu4YsVGR6BkaYefsztAZyyhsq7xh9gAlPe04tWaA7P9ZQ/8AYPOhG3SfsAVLc0NsLDOu228+SmjWbwWzhjanT5tqfAiOoNfkbZy57itLs+fUPcxN9BnfqyEWZgY89PtAkz5Lsz0QRxnsSqV9bx4d3UJ8tBQTK0eq9c743nyShmbrwZWbTxESPjxK63l0YmZ/ufdq9J+GhUve9fRTxLtSDWKjIji9cx3REeEUtnem85jZGKQP5Y4IC5GL58apgyQnJbJ17ni57dRs0YnaLf8GoM3A8ZzYtoqdC//hU0wUJgUsqdu6K+XqNFFqLAAVq9UhKkLKro0riJBKsHdyZfS0xbKh3GEhQXLxhEtCGd6rrez/w7s3c3j3Zjy9SjJx7qq0NGHBLJw2hujoSAyNTHAv6s3URRswNM7beeWyqlyjLlGRUnZsWI40XIKDkxvjZy6R3SANDQlCRTUjFqkklMHdWsv+P7hzMwd3bqaIdyn+WbAagBOHdgMwbpB8XabfiInUSG/wVJbfatYlKkLK5jXL066hzm5MlruGBqKa6ZrjWaw4wydMY9PqpWxYtRgra1vGTZ+PvWPGNBUjJs1kw8pFzJ48muioKApaFqJD9740aNpCqbFAWv0zKjKCfZnqn0Mz1T/DQ4Pl6gRf6p9LstQ/m2aqWzb4sz0J8XFsWDydT7ExuHh6M3TKQqXPQ/lbev1mc6b6zT+ZyiYkWP5741msOCOy1G/G51K/qfaD6zeeFarzKTqSS3s2EBspxcLOib9GTJc96CtKIn9e+5wQz4n1i4gOD0VdUwuzwjY07jUSzwrVAVBVVSPs4zseXj5FXHQUOvqGFHJ0pf24+RSwtv8hMXXo1JX4uDimTZlATHQU3iVKsnDZKrk6yYd3b4mQZgxhr123AVKplFXLFyEJSxsmvXDZKszS60Z+vk95/CjtSerNf5e/0XLg6BkKWymvR3WHv7sSFxfHtMkZ8SzKGs/7t0REZMRTp14DIqRSVi7LiGdRDvE0ayQfz8Fjyo1H+LWopH7PE00EQfifFhsbi5WVFXPnzqVLly7fvN71FxHKy9QPlvyLndL2+QbndxbyVP+K9vmdhTyz9YHy5jrLDz3K2ed3FvLUow+53zD6mTRoNSG/s5CnRswc8PVEPxFvS4OvJ/pJOBordy7kH01D/deatUpL49eJJzQyIb+zkKcsjJXbKeBHuxSg+EnNP6OmRX6txrFfreedofavc17LzR/r7n49kZLs7ay8TjF5RfSYFISf2P3793n27Blly5YlMjKSyZPTJvv/MvRcEARBEARBEARBEIT886Oex/GzEg2TgvCTmzNnDn5+fmhqalKqVCkuX76MeQ5PxRUEQRAEQRAEQRAEQfhfIRomBeEnVqJECe7ezb9u4YIgCIIgCIIgCIIg5Ex0mMzd/48B/YIgCIIgCIIgCIIgCIIg/E8RPSYFQRAEQRAEQRAEQRAEQQlURZfJXIkek4IgCIIgCIIgCIIgCIIg/HCiYVIQBEEQBEEQBEEQBEEQhB9ODOUWBEEQBEEQBEEQBEEQBCUQA7lzJ3pMCoIgCIIgCIIgCIIgCILww4kek4IgCIIgCIIgCIIgCIKgBCri4Te5Ej0mBUEQBEEQBEEQBEEQBEH44USPSUEQ0NFUy+8sCDnoVtomv7OQp/S0f53LTpfSdvmdBSEXcy68zO8s5JkRMwfkdxby1MwRC/M7C3mqXMc2+Z2FPLOkhVd+ZyFPqav+Wj1UVH+hHjeqv1jZ/FrRwPwj/vmdhTzTvKhVfmdBEISv+HV+IQqCIAiCIAiCIAiCIAjC/5Bf7F5MnhNDuQVBEARBEARBEARBEARB+OFEj0lBEARBEARBEARBEARBUALx8JvciR6TgiAIgiAIgiAIgiAIgiD8cKJhUhAEQRAEQRAEQRAEQRCEH04M5RYEQRAEQRAEQRAEQRAEJRAjuXMnekwKgiAIgiAIgiAIgiAIgvDDiR6TgiAIgiAIgiAIgiAIgqAE4uE3uRM9JgVBEARBEARBEARBEARB+OFEj0lBEARBEARBEARBEARBUAJV0WEyV6LHpCDkswMHDuDs7IyamhoDBw7M7+wIgiAIgiAIgiAIgiD8EKLHpJBvQkNDGT9+PEePHiU4OBgTExO8vb0ZP348lSpVyrP92NvbM3DgwP/ZRr8ePXrw999/079/fwwMDP71dgICAnBwcOD+/fsUL1487zKYg5MHd3F492YiwiXYObnwd59hOLsXVZj2XcBLdm1cwevnzwgNDqRDr8E0bN4mW7rwsBC2rlmMz61rJCTEY1nYml5DJ+Dk5qnscH6peI7t38n+nZuICJdg7+RKt/7DcfVQHMvb1y/Ztn45L/19CQ0OpHOfITT+s61cmj1b13Hj8jnevw1AS0sLtyLedOzeHytbe6XG8cXeXdvYvmk94ZIwnFzcGDR8NJ5FvXJMf+70SdYsX0xQ4Aesbezo1X8wFSpXlb1/8dxpDuzZhd+zJ0RFRrJ+2x5c3Dx+RCgA7N+9nR1bMuIZMHQ0HkWK5Zj+/JmTrFu5hKDAD1jZ2NGz7yDKV8qIZ/2qpZw7fYKQ4CDUNTRwc/eka6/+uX5GeWXvrm1sSy8b528sm9VZyqZiprJJTU1lzYolHN6/h+iYaLy8SzB01HhsbO2UHgtAwyIF+cO7ECY6GryWfGLF1Tf4h8YqTFvL1ZxB1R3lln1OSqHZ2juy/7XVVelUzoYK9iYYaKsTHJ3AoUdBHPcNVWocX/hfOsKzs/uIi5JiYuVAqT97YGbv9tX13ty9yLUNs7EqVp6q3ccCkJKcxMMjm/n45A4xkiA0tfWwcPPGu0kndI3MlBpHpZJODOpQi5KethQqYETLQas4fOFhrutUKeXCzCHN8XSy5H1QBDPWnGDL4ZtyaXq0rMqgjjWxMDPkkf8HBs/czZ0nb5QZikxTL0talS6Mqa4mL8JiWXT+Nc+CY3JMr6+lRpeKtlR1NsNAK+1YWnLxNTcDIgDwsjKkVanCuBbUx1xfk7GHn3HlZfgPiQXg+IFdHJRdd1zo0m84Lrlcd3ZsWMGr9OvO372H0OhP+WvoiYO7OXl4D6FBgQDY2DvSon03SpbLu/phTo7u38m+HRuRhktwcHKlx4AROV5D37x+ydZ1y3jp70tIUCBd+w6lSYu22dJ9zzbz2qG9O9izbSPS8DAcnV3pPWgkbp45X3MunTvFptVLCQ76iJW1LZ17DaRsxSqy9+tV8la4Xpfeg2jRtlNeZz+b04d3c2zPFiKlEmwcXejQayhObkUUpn3/5iV7N68i4PkzwkICadt9EPWatZZLE/cplr2bVnLn+gWiIqTYObnSvscQHH9A3fNL2YRnKhv3r5TNxkxl0yVL2dTNoWy6/qCy+auMNR0r2WKmr4l/UAwzj/vz+ENUjukNtNXpW8OJGh4FMNLRIDAyntkn/LnyXAKk9TDrWc2Rhl6WmOlrEhqdwCGfQFZfClB6LJBWJ1m5bDH79+0mJjoa7+IlGDlmArZ29rmut2vHVjZvXIckLAwXV3eGjRxD0WIZdaOpkydw6+Z1wkJD0NHVxcu7BP0HDsHewTGXrYp4hF+b6DEp5Js//viD+/fvs3HjRvz9/Tl06BDVqlVDIpHkd9Z+mJiYGEJCQqhbty6FCxf+1w2Tnz9/zuOc5e7ahVNsWjmfP9p1Y8byLdg5ujJtVD8ipYp/BCUkxGNRyJrWXfpibKr4B2xMdBTjB3ZBTU2dUdMWMm/NLtr3GISegaEyQwF+rXiunDvJuuXzaNWxO/NWbcPeyYVJw/sQkUssloWt6NC9Pyam5grTPHlwl/pNWzJr6UYmzl5OclISE4f3Jj4uTpmhAHD21HGWzJvF3917s3brbpxd3RjctwfScMXniUcP7jNpzDAaNW3Oum17qFKtBqOG9OPVi+eyNHFxcXgVL0GvfoOVnv+szp0+ztIFs+jYtRerN+3GycWNof1zjufxw/tMGTecBo2bsXrzbqr8VoMxw/rz6mVGPNa29gwYNpr12/exZNUmLAsVZmi/7jmWeV45c+o4i+fNonP33qz7xrKZmF4263Mom60b17Jnx1aGjZ7A6o3b0dbRYXDf7iQkJCg1FoAqTqZ0q2DLtrsf6L/3Ma/DPzGloRtG2jnfw41NSKLdpvuy19/bfOTe71bRllI2Rsw595KeOx9y8FEQvSrbU87OWLnBAG/uXuL+/jUUrd+aesMXYmzlwPll44mPjsh1vRhJMPcPrKOAk/wP/aTPCYS/e0nReq2oN3whlbuOJjrkA5dXTlFiFGn0dLR45P+BgdN3flN6u8Jm7F/ck0t3/CnXagZLtp1n+fg21KqQcQPizzolmTmkGVNXHqdCm5k89P/AoWV9KGCir6wwZKq7mtG7qj0bbryn27YHvAyNZXYzT4x1NBSmV1dVYU6zIlgaajPhiB8dNt1nzpmXhMVkXPu1NVR5GRrLgvOvlJ7/rK6eP8WG5fNo2aE7s1duxc7JlSkj+uZ4Df2cEI9FISvadeuX4zXUrIAF7br2Y9aKLcxavpmiJcowc9xg3r5+qcxQuHzuJGuWzqV1xx4sWL0NBydXxg/tnfM1ND7tpmPHXK6h37vNvHTxzAlWL55Du849WLJuB47ObowZ3IsIqeLz9NNHPsyYOJK6jZqxdP1OKlSpzuRRAwl4lXGe3nborNxr8OhJqKioULlaLaXHc+PiabatWkCztl2ZsngTtg4uzBrbn8iIHI61+AQKWlrR8u8+GJkoPtbWLpzK4/s36Tl0ItOXb6NYyXLMGN2H8LAQZYbChTMnWLV4Dm0792DpN5TNk0c+TJ84knqNmrFs/U4qVqnOpCxls/3QWbnXjyybOkUKMqSuCysvvKb1ytv4B8ewrF1xTPRyOK+pqbCifQkKG2szbNcjmi65zuRDvoREZVzv/65sR4syVsw45kfzpTdYeOYlnSrZ0bqctdLjAdi4fg07tm9h1NiJbNiyE20dXfr16pZrneTUiWPMnzOTbj36sGXHXlzd3OjXqxvhmX7fengWYcLkqezef5Qly1eTmppKn55dSU5OFvH8wlRUVPLt9TMQDZNCvoiIiODy5cvMnDmT6tWrY2dnR9myZRk1ahSNGzeWS9e1a1cKFCiAoaEhNWrU4MGDB7L3X758SZMmTbCwsEBfX58yZcpw5swZ2fvVqlXjzZs3DBo06KtfzIiICHr06IGFhQXa2toULVqUI0eOyN7fu3cvRYoUQUtLC3t7e+bOnSu3vr29Pf/88w8dOnRAX18fOzs7Dh06RGhoKE2aNEFfXx8vLy/u3EnrTXPhwgVZQ2SNGjVQUVHhwoUL37yvKVOm0KFDBwwNDenevTsODg4AlChRAhUVFapVq/YdJfJ9ju7dSs36TalerzHWdo50HTAKTS1tzp88pDC9s1sR2nUfQKXqddHQ0FSY5tDOjZgVsKD3sAk4uxelYCErvEuXx7Kw8isfv1I8B3dvpU7DZtSs3wQbe0d6DR6DlrY2Z48fVJjexb0InXoOokqNuqhrKK48Tpi1lJr1GmPr4ISDsyv9R04iNDiIl/5PlRkKADu2bOT3Zn/SsHEzHBydGTZ6Atra2hw5uE9h+t3bt1CuQmXadOiMvYMT3Xr3x9Xdk727tsnS1GvYmL+796Z0uQpKz39Wu7ZtolHTP2nwezPsHZ0YMnI82traHDu8X2H6PTu2ULZ8JVq3T4unS89+uLp7sj9TPLXrNaR02QoUtrLBwcmZPgOHExsbw8vn/kqNZaeCstHKpWx2pZdN2/Sy6Z5eNnvSY0lNTWXXts107NKDKtVq4OzixrhJ0wkLDeHyhbNKjQWgWTFLTviGcsYvjHcR8Sy5FEB8Ugp13AvkuE4qII1LlL0i4pLk3ne30OesfxiPAqMJifnMCd9QXks+4VpQT8nRgN/5AzhVqItj+doYFbKlzF99UNfU4tX10zmuk5KSzPWNcyjWoC36ZpZy72nq6FGj7z/YlqyCoYU15g7ulGrRk/B3L4gNV+4P+FNXnzJp2REOnc+9l+QX3f6sTMAHCSPn7cfvdTArdl5i/1kf+rWtLkvTv10N1u+7xuZDN3j2Koh+U3cQF/+Zjk2Vf15oUbIwRx8Hc+JpCG/C45h39hXxSck0KFJQYfoGRQpioK3O2MPPeBwYTVBUAg8+RPEy7JMsza2ACNZef/dDe0l+cXj3Fmo1aEaN+o2xsXekx6DRaGnlfN1xdi9Cx54DqVwj52tomYpVKVW+MoWtbSlsY0fbLn3Q1tHF3/eRMkPhwK4t1G3UnFoNmmBr70TvIWnX0NPHDihM7+pRhM69BlG1Zj00NBVfQ793m3lp387N1Pu9OXUaNsXOwYl+w8aipaXNySOK931g11ZKl6tIi7adsLV3pGP3vji7enBozw5ZGlMzc7nX9csX8C5ZhkJWyq+vHd+/jWr1m1K1zu9Y2Tnyd7+RaGlpc+nUYYXpHd08ad21PxWq1VF4rH1OiOf2lfO06tIP92IlsShsQ/N23bEobMPZo3uVGsuXsqmbXjb9/2XZHPwfKZv2FWzZd+8DB30CeRUayz9HnhGfmEzTEoUVpm9aojCGOuoM2vEQn3eRfIyI5+6bCPwz9Rz3tjHmwrMwLj+X8DEinjNPQ7j+MpyiVsrvtJCamsr2rZvo0q0n1arXxMXVjcn/zCA0NIQL587kuN7WzRtp2rwFjZs2x9HJmVFjJ6Ktrc2hAxl1o+Z/tqRkqTIUtrLC3aMIvfsOIDgokMCPH0Q8wv9bomFSyBf6+vro6+tz4MCBXO/StGjRgpCQEI4fP87du3cpWbIkNWvWJDw8reIdExNDgwYNOHv2LPfv36devXr8/vvvvH37FoB9+/ZhbW3N5MmTCQwMJDAwUOF+UlJSqF+/PlevXmXLli08ffqUGTNmoKamBsDdu3dp2bIlrVq14tGjR0ycOJFx48axYcMGue3Mnz+fSpUqcf/+fRo2bEj79u3p0KED7dq14969ezg5OdGhQwdSU1OpWLEifn5+QFpDZGBgIBUrVvzmfc2ZMwdvb2/u37/PuHHjuHXrFgBnzpwhMDCQffsUNw78V0mJibzyf0axkuVky1RVVSlWsizPn37bj0ZF7ly/hKOrB/Mmj6Bbi9qM6NmGs8cUN9bkpV8pnsTERF76++JVSj4W75Ll8Hvy72PJ6lNsNAD6hkZ5tk1FEhM/4//sKaXLZjQUqKqqUrpseZ48eqBwnccPfShdrrzcsnIVKvH4oY8ys/pNEhMT8X/2lFJlMvKnqqpKqTI5x/Pk0QNKlZVvKClTvmKO6RMTEzl8YDf6+gY4uX59yO6/lZj4Gb9nTymjoGwe5xRLDmXzJL1sPn54j0QSJpdG38AAz6JePH6oeJt5RV1VBecCevh8iJQtSwV83kfhbpFzDzodDTXWt/FmQ1tvxtV1wdZER+79Z8ExlLMzxkw3rcHCq7ABhY20ufc+56FteSE5KZHwdy+wdCsuW6aiqoqFW3HCAp7luN6T4zvQNjDCqUKdb9pPYtwnUFFBU0f5vQy/RzlvB87f9JNbdvqaL+W80m7gaairUcLDhnOZ0qSmpnLuph9l09Moi7qqCm4F9bn7Tv5Yu/s2Es9CikdNVHQ05WlgNAOrO7CvW2nWtytO2zJW/xMT6addd57hVaqsbJmqqipepcri/zRvGhGTk5O5cu4k8fFxuHkqb4qKxMREXvj74p3lGlq81L+/hipjm9+z7+d+vpTIcs0pUbo8vo8V79v3yUNKlJY/T5cqVxHfHPIqDZdw69pl6jZqlncZz0FSYiIBz59RpHgZ2TJVVVWKFC/Di3/ZYJ2cnExKSnK2RktNTS38nyjvuvOlbEoqKJunP2HZqKup4FHYgJuvMm6MpKbCzVdSvKwV1xWruZnz8H0koxq6cXZoFfb0LkeXKnZy57UH7yIo52iCrVnatdXVQp8StsZcfa780XUfPrxHEhZG2Uw3sfUNDChazItHOdRJEhM/88z3CeXKy9eNypavwMMc6qFxnz5x6OA+rKyssbC0VJgmL/xq8fyMVPLx9TMQc0wK+UJdXZ0NGzbQrVs3VqxYQcmSJfntt99o1aoVXl5plc4rV65w69YtQkJC0NLSAtIa4w4cOMCePXvo3r073t7eeHtnzKcyZcoU9u/fz6FDh+jbty+mpqaoqalhYGCAZS4nxzNnznDr1i18fX1xdXUFwNExY16MefPmUbNmTcaNGweAq6srT58+Zfbs2XTq1EmWrkGDBvTo0QOA8ePHs3z5csqUKUOLFi0AGDFiBBUqVCA4OBhLS0sKFkzrHWFqairL37fuq0aNGgwZMkT2/5dGVDMzs1xjTUhIyNYY/DnhM5rpn/HXREVGkJKSjJGJqdxyIxNTPr4L+KZtKBIS+IHTh/fS8I+2NGvzNy/9nrJ+6RzU1TX4rU6jf73dr/mV4olOj8VYQSzv3wbkyT5SUlJYu2QOHkWLY+fgnCfbzElkRATJycmYmskPvzI1M+NNwGuF64RLwjDJMjTQxNRMbshJfomMkJKcnKwwf2/ffE885oSHh8ktu3b5ApPHDiM+Ph4z8wLMWbIKY2OTPM1/ZhG5lM3bHMpGIgnDNEsspqZmsuk7wiVh6cvMFaSRjzevGWqro6aqkq3HY0RcIjbG2grXeR8Zz4ILrwgIj0NXU43m3pbMaeJBr92PkMQmArD8yhv6VXVgU/sSJCWnkAosuviaJ4HRSo0nITaK1JQUtA2N5ZZrGxgTHfxe4TqhL5/w8sYp6o9Y9E37SE78jM+h9diVqoqGju5/zXKesjAzJDhc/jMOCY/CyEAHbS0NTAx1UVdXIyRrGkkUbvYWSs2bkU7asRb+SX4KFumnRGxNdRSuU9hIC0sbI04/C2XkQV+sjLUZWN0RdVUVNt5UXJ4/SsZ1R/67bWRixof/eN158+o5o/v+zefPn9HW0WH4pDnY2CtvzrKoSCkpycmYZLmGGpuY/etrqDK2+c37jkjbd9bh8samZrx7q/g8LZWEKUwvzeEcfOb4IXR0dan0W828yXQuoqMU19cMTUz5+P7fzQ2ro6uHs0cxDmxfR2FbB4yMTbl+8RTPnz3CopDyehnmVDYmXykbRfWHnMrmdHrZVP4BZWOiq4G6qiqSGPnzmiT2M/bmiq8PViY6lHEw4djDYPpu9cHGVIfRDd1RV1Vl5cW0z2DdlTfoaalzoG8FklNSUVNVYcnZlxx7FKz0mCRhaZ+rWbZ6jjmSMMXzREdIc64bBbyWL9fdO7exaP5c4uI+YWfvwNKVa3PsQZ4XfrV4hF+P6DEp5Js//viDjx8/cujQIerVq8eFCxcoWbKkrGfggwcPiImJwczMTNbDUl9fn9evX/PyZdocQzExMQwdOhQPDw+MjY3R19fH19dX1mPyW/n4+GBtbS1rlMzK19c32wN5KlWqxPPnz+Xmz/jSqApgYZH246ZYsWLZloWE5Dzs7Vv3Vbp06a+FpdD06dMxMjKSe61bNvfrKypZSmoKDi7utO7SBwdnd2o1bE7NBk05fUS5Q2mU5VeL54tVC2fw5vVLhoyfnt9ZETIpUbosa7bsZematKHfE0cNzXGuRyFvPAuO4dxzCa8kn3gcGM3UUy+IjE+ivkfGcNzGRS1wt9Bj0gl/Bux7wprrb+lV2Z7iP2AY2vdIjP/E9U3zKNuqH1r6X+8JnZKcxNV1MyAVyrTs8wNy+P+biooK0k+JzD37Ev+QWM77S9hy6z2NvX7t3iiFbeyZs3o7M5ZtpG7jP1kycwLvAn78HJpCzk4eOUCNOg2++eb2/6KeQyeRmppK/3YN+btxZU4d3EmF3+qgqvpz/0z+Xy8bVRUVwmMTmXLYF9/AaE49CWHN5df8WdpKlqZOEQsaFLNk1N4ntF55i3H7n9Khoh2/e+f9ue/40cNUKV9K9kpKSszzfWRWv8HvbN25l1XrNmFrZ8/IYYPydD7tXy0e4dcnekwK+UpbW5vatWtTu3Ztxo0bR9euXZkwYQKdOnUiJiaGQoUKyeZdzMzY2BiAoUOHcvr0aebMmYOzszM6Ojr8+eef3/0wGB0dxb0UvpdGpjn6vsxnqWhZSkrKf96Xnt6/m6Ns1KhRDB4s/9CPZ8Hf/nkZGhmjqqqWbVL7SGl4th4T38PE1BwrW/khdFa2Dty8fO5fb/Nb/ErxGKTHknVC/UhpeLa77P/GqoUzuH39MtMWrsG8gHJ7FQEYGRujpqaWrbdjuESCmbnihwyYmplna5CThkuy3e3ND0bGJqipqeWQv++JJyxbr0IdHV2sbWyxtrGlSDFv2vzRgKOH9tGuU7e8DSKdcS5lY5pD2ZiZmROeJZbwcIns7v2XzyA8PAzzAgXk0ri4uudl9rOJik8iOSUVYx35apGxjgbSuG+rzCenpPIq7BOFjdJ6WGqqqdChrDVTTz3n9tu0YbsB4XE4munS3NsSn1yeVPpfaekZoqKqSnxUhNzy+OgItA2z96SNCQsiNjyYS6smy5alpqYCsGNAYxqOXYlBgUJARqNkbHgINfpP+5/rLQkQLInCwlR+WHRBU0Mio+OIT0gkTBpDUlIyBbOmMTMkSKLcYfaRcWnHmqmufE8SE10NwmMVH2uS2M8kp6SSkpqx7I00DjM9TdRVVUjK/MYPlnHdkf9uR0olGOfwMJhvpaGhQSErGwCcXD144feUo/u203PwmP+03ZwYGpmgqqaGNMs1NEIq+dfXUGVs85v3bZy274gs592IcEmOD+oxMTNXnF7BNeqxzz3evw1g9ORZeZfpXBgYKq6vRf3H+ppFYWvGzl5JfHwc8Z9iMTY1Z8n00RSwtPr6yv9STmUj/UrZKKo/KCqbRz+4bKSfEklKScFMX/68ZqanKfeQrsxCoxNIynJeex36iQIGWqirqZCUnMqg2s6sv/KGk4/Teki+CImlkLE2navYc/hBUJ7GULVaDbknTX/5LSmRSDAvkHHDMVwShqubR7b1AYxNvr3eqm9ggL6BAbZ29hTz8qZ65fKcP3eGevUbinh+Uao/yUNo8svPfStI+OV4enoSGxsLQMmSJQkKCkJdXR1nZ2e5l3n6yfDq1at06tSJZs2aUaxYMSwtLQkICJDbpqam5lefCubl5cX79+/x91f8sAgPDw+uXr0qt+zq1au4urrKhlDnlX+7L03NtMrA12LV0tLC0NBQ7vU9d1PVNTRwdHXn0f1bsmUpKSk8vn8bl/8w95NbEW8CswzFCXz/hgIWhf71Nr/FrxSPhoYGTq4ePLwnH8vDe7dwK/LvY0lNTWXVwhncuHKeKfNWYlFIeZX1zDQ0NHF19+Tu7RuyZSkpKdy9fZMixbwVrlPUqzh3bt2QW3b75nWKehVXZla/iYaGRno8N2XLUlJSuHcn53iKFPOWix/gzs3rOab/IjUlhcTvvEHzPTQ0NHFz9+SOgrIpmlMsXsW5q6BsiqSXTWEra8zMzLl7K+PziY2J4enjhxT1yj3e/yopJZUXobEUt8roLagCFLcy5Fmmifhzo6oCdqY6hH9Ka1xSU1VBQ02VrG1GKamgouQZf9TUNTC1cSbIP2PeqNSUFIL9H2Bun72R19DCmvqjllBvxCLZy6poOSxcilFvxCJ0TdKuuV8aJaNDP1K971S09P63en5+cfPBa6qVlZ9jtWZ5d24+TBt6lpiUzH3fd1Qvl5FGRUWF6mVdufVQ8TDKvJKUkopfSAwlbeSPtVI2RjzNYYj/44/RWBlryx01NsY6hMV8ztdGSfhy3XHn0b3bsmVp153buHoWy2XN75eakkJiojLPaxo4u3rw8K78OfrBf7iGKmOb37NvFzcPfO7I79vn7k08iiret0cRL3wy5RXg3u0beCjI64kj+3Fx88TRRXnzGWemrqGBvYs7T33kj7UnPndw9vjvx5q2tg7GpubERkfx6O4NSpav+p+3mZMvZXNfQdl45kHZnEwvG6cfVDZJyan4foymrEPGMHsVFSjraMLD95EK13nwLhJbUx0yt9XYmekSEp1AUnLaeU1bQ42UVPlzXEpKqlIaePT09LCxtZO9HJ2cMTM35/bNjHpLTEwMjx89pFgOdRINDU3cPYpw66Z83ej2zRt45VIPTU2FVFLztN72q8Uj/PpEw6SQLyQSCTVq1GDLli08fPiQ169fs3v3bmbNmkWTJk0AqFWrFhUqVKBp06acOnWKgIAArl27xpgxY2RPtnZxcWHfvn34+Pjw4MED2rRpk603or29PZcuXeLDhw+EhSmeh+W3336jatWq/PHHH5w+fZrXr19z/PhxTpw4AcCQIUM4e/YsU6ZMwd/fn40bN7JkyRKGDh2a55/Nv91XwYIF0dHR4cSJEwQHBxMZqbgikBca/tGWc8cOcPHUEd6/ec2aRdNJiI+jWt3fAVgyczzb1i6RpU9KTCTghR8BL/xISkxEGhZKwAs/gj68k6Vp8Ecbnvs+Yv+2dQR9eMeVcyc4e2w/dRq3UFocv2I8TVq05fSR/Zw7cZh3b16xYv404uPjqFkv7Wn3C6aNY/PqxbL0iYmJvHrhx6sXfiQlJRIeFsKrF34EfsiYDmHlghlcOH2MwWOmoaOrizQ8DGl4GAkJ8UqNBaBVu44c3r+H44cPEPD6JXOmTyYuLo6GjdMmc58yfhQrFs+XpW/Ruh03r11l++YNvHn9irUrl/Ls6WP+aNlGliYqMoLnfr4EvEqbEuLtmwCe+/nmOMdOXmrZpgNHD+7hxJGDBLx+ybyZU4iLi6N+o6YATJ0wilVLM+L5s1U7bl2/ys6tG3gT8Ir1q5bi5/uEZunxxMV9YtWyBTx59ICgwI/4+T5hxpSxhIWGUK1mXaXG8ld62RzLVDbxWcpmeaayadm6HTcUlM2f6bGoqKjQsk17Nq5dyeWL53j53J8p40dhXqAgVaopf46s/Y+CqOtegJqu5tgYa9Onij3aGqqc9ks7LgZXd6Rj2Yw5x1qXLEwJa0MsDbRwMtdlaA0nChpocdI3baqOuMQUHn6MonN5G4oVMsDCQJNarubUcDXneoBU6fG4VW/Ky2sneXXzLJFB77i9axlJCfE4lK8FwPVNc/E5tAEANQ1NjAvby700dfRQ19LFuLA9auoapCQncWXtdMLfvqBCh6GkpqYQFyUlLkpKspKHiOnpaOLlaoWXa9pNEXsrM7xcrbCxTOv9OblfY9ZMaS9Lv3rPFRyszZg6oAmu9hZ0b1GFP2qXYPHW87I0i7ac4+9mFWn7ezncHCxYNPovdHW02HRQvvFcGXbf+0ijohbU9SiArYkOg2o6oq2hxvGnacfOqDrOdKtkK0t/8GEQBlrq9KvmgLWxNuXtTWhbxooDDzIe6KejoYpzAV2cC6T1YLU01MK5gC4FDZQ/x9fvLdpx5uh+zp88zPs3r1m1IO0aWiP9urNo+ni2ZLnuvH7hx+v0644kLITXL/wIzHQN3bJ6MU8e3CMk6CNvXj1P//8uVWvWV2osTVu24+TR/Zw9cYh3Aa9YNm8a8XFx1KqfVjedN3UsG1dlzMOamJjIq+d+vHqeVh+QhIXw6rkfH9+//eZtKlPzv9pz/PA+Th87xNuAVyye8w/x8XHUadgUgNlTxrBu+cJMeW3LnRvX2Lt9I+/evGbz2uU8f/aExn+2kttubGwMl8+fot7vyn+wSmb1m7XhwomDXD59hA9vX7NhyUwSEuKoWjtt7u4Vcyawc/1SWfqkxETevPTnzUt/kpISkUpCefPSn+CPGcfaw7vXeXjnOiFBH3h07ybTRvaikLU9Vev8rtRYvlY2s3Iomz3bN/I2U9k0UVA2l/KhbDZff0vzUoX53dsSB3NdxjR0R0dDjYP3085TU5p50q+mkyz9rtvvMdTRYHg9V2zNdKjiYkaXKvbsupUxb+4l/1C6VrWniosZhY21qe5egHYVbDnnm/OUWHlFRUWF1m07sHb1Ci5eOMeL5/5MGDuSAgUKUq1GLVm6Xt3+Zuf2rbL/27bvyIF9uzly6ACvX71k+j+TiIuL4/emaeXx/v071q9dhe/TJwQFfuSBz31GDB2ItpYWlSorrzH8V4vnZ6Sikn+vn4EYyi3kC319fcqVK8f8+fN5+fIliYmJ2NjY0K1bN0aPHg2knUCPHTvGmDFj+PvvvwkNDcXS0pKqVavK5mqcN28enTt3pmLFipibmzNixAiiouSHYU2ePJkePXrg5OREQkKCbHhaVnv37mXo0KG0bt2a2NhYnJ2dmTFjBpDWe3PXrl2MHz+eKVOmUKhQISZPniz3MJq88m/3pa6uzqJFi5g8eTLjx4+nSpUqCofB54WK1eoQFSFl18YVREgl2Du5MmraYtlQGklIEKoqGfc9wiWhjOjVVvb/4d2bObx7M55eJZkwdxUAzm5FGDJxDtvXLmHvljUUsCxMx15DqKLkHyG/WjyVa9QlMlLK9g3LkYZLcHByY8LMJbIJ1kNDglBRlY9lcLfWsv8P7NzMgZ2bKeJdiqkLVgNw4tBuAMYOkh8W3G/ERFmDp7LUrFOfCGk4a1YsIVwShrOrO3MXr5QN+w0OCpS7c17MuwQTps5i9fJFrFq6AGtbO6bPXYyjs4sszZWL55k2aazs/wmj0hr9/+7emy49lDtfXo3a9YmQSlm3KiOe2QtXyOIJCQ6Um9eqqFcJxk2ZydoVi1m9bCHWNnZMnb0IR6e0eFRV1Xgb8JqTRw8RGSHF0MgYd8+iLFq1EQcn5T6cqFaWsnFRUDYqWcpm4tRZrFq+iJU5lE3bjl2Ii4tj1tSJxERH41W8JHMXr5Q9AE2ZLr8Mx0hbnXalrTDR1eBV2CfGH/OTPRCngL6m3PVDX0ud/lUdMNHVICYhiRehnxh64CnvIjIa7GedeUnHctYMremEgZY6IdEJbLr1nmNPlf+jyq5UVRJiInl0dAvx0VJMrByp1nsyOulDuT9JQ1FR+fb7058iJHx4lNZb58TM/nLv1eg/DQsX5fX+Kulpx6k1A2T/zxr6BwCbD92g+4QtWJobYmOZ0VPnzUcJzfqtYNbQ5vRpU40PwRH0mryNM9d9ZWn2nLqHuYk+43s1xMLMgId+H2jSZ2m2B+Iow3l/CcY6GvxdwRZTXQ1ehMUy/MBTpOm9bS0MtchcUwmN+cywA0/pW9WBde2KExrzmb0+gWy/80GWxs1CnwV/FpX93/e3tKlETjwNYcapF0qNp1L1OkRGSNmxPu0a6uDkytiZi2XXnbCQIFQyPWpXKgllaPeMm0WHdm3m0K60687k+WnX0MgIKYtnjEcaHoaunj52ji6Mm7kE7yxPJc5rVWrUJTJCytZ1addQR2c3Js1eKht2ne0aGhbKgK4ZDUP7d2xi/45NFC1eiukL13zTNpXpt1r1iIyQsnnNMqThYTi6uPHP3GWyfYcEB8mdBzyLFWfExOlsXLWEDSsXU9jalvHTF2Dv6CK33YtnTkAqVKut/DpaZuV/q010pJS9W1YRGS7B1smVYVMWYiSrrwXLxSMND2Vs33ay/4/t3cKxvVtwL1aSMbNWABAXG8Ou9csIDwtBz8CQMpVr0KJjL9TVlfszuVp62WzKVDZTM5VNaLB83bNIseKMzFI2E3Ipm+o/uGxOPQnBRE+TXtUdMdfXwi8omt5bfAiPTes1V8hIW+4aGhyVQO/N9xlaz5XdvcoREpXAtptvWX8lY7TRjGP+9KnhyKiGbpjqaRIancDeux9kD8dRto5/dyU+Lo5pkycQHR1F8RIlWbRslVyd5P37t0REZNxsrFOvAVKplBXLFiEJSxsmvXjZKszS60Zamlrcv3eH7Vs2ERUVhZmZGSVKlWbtpu1Kn3boV4tH+LWopObUSiMIwv8bPm+V/0NM+He01H+tju3mhv+bk7D/G8nJv9blU13tJ7ml+o06br2X31nIM2UclPeE9fwwc8TCryf6iZTr2ObriX4SS1ood3jxj6ap9mtdQzV+oTpBaNSv9WCMgr9Q/Qag6ZKrX0/0k7g8snp+Z0HIhYH2r3Ney0333U/ybd+rWhTJt31/q/8fR4EgCIIgCIIgCIIgCIIgCP9TRMOkIAiCIAiCIAiCIAiCIAg/nJhjUhAEQRAEQRAEQRAEQRCU4Gd5CE1+ET0mBUEQBEEQBEEQBEEQBEH44USPSUEQBEEQBEEQBEEQBEFQAlXRZTJXosekIAiCIAiCIAiCIAiCIAg/nGiYFARBEARBEARBEARBEAThhxNDuQVBEARBEARBEARBEARBCcRI7tyJHpOCIAiCIAiCIAiCIAiCIPxwosekIAiCIAiCIAiCIAiCICiBiugymSvRY1IQBEEQBEEQBEEQBEEQhB9O9JgUBAEjXY38zkKe+ZSQnN9ZyFMRnxLzOwt5ytJYO7+zkGcSElPyOwt5Sl3t17qTGxXzOb+zkGe8LQ3yOwt5qlzHNvmdhTx1c+O2/M5CntnjWSC/s5CnPAvq5XcW8tT7qPj8zkKeqe9skd9ZyFNbH7zP7yzkqeTkX6uOIwj5TfQIzJ34fARBEARBEARBEARBEARB+OFEw6QgCIIgCIIgCIIgCIIgCD+cGMotCIIgCIIgCIIgCIIgCEogHn6TO9FjUhAEQRAEQRAEQRAEQRCEH070mBQEQRAEQRAEQRAEQRAEJVAVHSZzJXpMCoIgCIIgCIIgCIIgCILww4mGSUEQBEEQBEEQBEEQBEEQfjgxlFsQBEEQBEEQBEEQBEEQlEAM5c6d6DEpCIIgCIIgCIIgCIIgCMIPJ3pMCoIgCIIgCIIgCIIgCIISqKiILpO5ET0mf0JBQUHUrl0bPT09jI2NgbQD/cCBAwAEBASgoqKCj4/PN29zw4YNsm0JGTp16kTTpk3zOxuCIAiCIAiCIAiCIAi/HNFjMp916tSJiIgIWaPit5g/fz6BgYH4+PhgZGSU7X0bGxsCAwMxNzfPw5z+u7z+WxMnTuTAgQPf1biam2rVqlG8eHEWLFjwXestXLiQ1NTUPMmDsl24cIHq1asjlUp/SCPzob072LNtI9LwMBydXek9aCRunsVyTH/p3Ck2rV5KcNBHrKxt6dxrIGUrVpG9X6+St8L1uvQeRIu2nfI6+9kcP7CTAzs3EREuwd7Jla79huPiUVRh2revX7Jjw3Je+vsSGhzI372H8PufbeXSnDi4m5OHdxMSFAiAjb0jLdt3p2S5SkqP5cyR3Rzfu5VIqQRbBxfa9RyCo1sRhWkvnDjAtXPHeB/wCgB7Z3f+7NhLLv2dq+c5f3wfAS+eERsdxaRFm7FzclV6HF+kpqayevkSDu7fTUx0NMW8SzB89Hhs7exzXW/Pzm1s2biOcEkYzq5uDBkxhiJFvWTvH9i7i5PHj+L37CmfYmM5fekGBgaGSo4GDuzZzq4tGwgPD8PJ2Y1+Q0bhXiTn787FsydZv2oJQYEfsbaxpVufQZSrWFX2/szJYzh17JDcOmXKV2LGghVKi+GLvbu2sW3T+rTP2MWNQcNH45npM87q3OmTrF6+mKDAD1jb2NGr/2AqVs6IJTU1lTUrlnB4/x6iY6Lx8i7B0FHjsbG1U3osAM2KF6J1aStM9TR5GRrLgnMv8Q2KyTG9vpYa3Srb8ZuzOQba6gRHJbDowituvJYC0K6sNVVdzLAz1SEhKYXHH6NZfimAd9K4HxLP9RP7uXhoBzER4RSyc6Jx5wHYuHgoTHvrzGHuXTxJ0LvXAFg7ulG3dTe59AlxnzixdRVPbl/hU3QkpgULUbHBH5Sv00TpsTT1sqRV6cKY6mryIiyWRedf8yw497LpUtGWqs5mGGipExydwJKLr7kZEAGAl5UhrUoVxrWgPub6mow9/IwrL8OVHgdApZJODOpQi5KethQqYETLQas4fOFhrutUKeXCzCHN8XSy5H1QBDPWnGDL4ZtyaXq0rMqgjjWxMDPkkf8HBs/czZ0nb5QZioz/pSM8O7uPuCgpJlYOlPqzB2b2bl9d783di1zbMBurYuWp2n0sACnJSTw8spmPT+4QIwlCU1sPCzdvvJt0QtfITNmhcPPkfq4c3klMRDiWdk40/Ls/1s6KvzdPbl7i0oGthAd9IDk5GTNLKyo1aknxqnVkaVJTUzm3ez13zh4lPjYGW7eiNO46CLNC1kqPBeDx+cM8OLmHuEgpZjaOVGrdi4IOisvm1b2r3D+2k6iQj6QkJ2FU0AqvOs1xrVBTliYxPo6b+9YTcP8a8bHRGJhbUKxGEzyrNfwh8Rzbv5P9mepr3foPxzWX+tq29Rn1tc59htA4S31tz9Z13Lh8jvdvA9DS0sKtiDcdu/fHytZe6bE8u3iEJ6f3EhclxdTagbIte2L+Dd+b13cucnndLGy8ylO95zjZ8jf3r+J/+TiSdy/4HBtNo1GLMLVxUmYIclqVtaZTZXvM9TXxC4ph+tFnPP4QlWN6A211+tdypqZnQYx0NPgYEcesY/5cfh4GgK6mGn1rOlHTsyCmepo8C4xmxjE/nuSyzbyUmprKymWL2b8vrf7pXbwEI8dM+Gr9c9eOrWzeuA5JWBguru4MGzmGosUy6kZTJ0/g1s3rhIWGoKOri5d3CfoPHIK9g6OI5xcm5pjMnegx+RN6+fIlpUqVwsXFhYIFC2Z7X01NDUtLS9TVRbvz58+f/9P6RkZGoiepAhfPnGD14jm069yDJet24OjsxpjBvYiQShSmf/rIhxkTR1K3UTOWrt9JhSrVmTxqIAGvnsvSbDt0Vu41ePQkVFRUqFytltLjuXL+JOuXz6Nlh+7MWbkNeycXJo/oQ4RU8Y/UhIR4LApZ0b5bf4xNFd8AMCtQkHZd+zN7xVZmL99CsRJlmDFuEG9fv1RmKNy8dJodqxfStE0XJi3aiI2DM3PGDSAqQnEszx7do1zVOoyYvoyxc9dgWqAgs8f1RxoWIkuTkBCHq6c3Lf/uq9S852TzhrXs2r6FEaMnsGbTDnR0dBjYpzsJCQk5rnP65HEWzp1J1x692bhtDy6u7gzs3Z3w8IxjND4+ngoVK9Opc/cfEQYA50+fYMXC2XTo2pMVG3fh5OLKiIE9kIYr/u48eejDP+NHUP/35qzcuJtKVWswfvgAXr98LpeuTPlK7D56XvYaM3mm0mM5c+o4i+fNonP33qzbuhtnVzcG9805lkcP7jNxzDAaNW3O+m17qFKtBqOG9OPVi4xYtm5cy54dWxk2egKrN25HW0eHwX1zL+u8UsPNnL6/ObDh+lu6br7Pi9BY5v5RFGMdDYXp1VVVmPdnUQoZajPusC9t199l1unnhMZkXHeKWxux3yeQHtseMmjPk/R1iqCtrvzq14Or5ziycSm1WnSk38zVFLJzYu3UocREShWmf/XEB+/KNek+YQG9py7DyKwAa/8ZSqQkVJbm6Mal+Pvc4q/+Yxi8YBOVGv7JobULeXr7qlJjqe5qRu+q9my48Z5u2x7wMjSW2c08cy2bOc2KYGmozYQjfnTYdJ85Z14SlqlstDVU0xqfz79Sat4V0dPR4pH/BwZO3/lN6e0Km7F/cU8u3fGnXKsZLNl2nuXj21CrQkZj2Z91SjJzSDOmrjxOhTYzeej/gUPL+lDARF9ZYci8uXuJ+/vXULR+a+oNX4ixlQPnl40nPjoi1/ViJMHcP7COAk7yN86SPicQ/u4lReu1ot7whVTuOprokA9cXjlFiVGkeXTtHMc3Laf6Hx3pNWMVlnZObJw2PMfvja6+Ib81a0e3KUvpO2sNJavVY//ymTz3uSVLc/nQDm4c30fjroPoMXUZmtrabJw2nMT/WEf9Fi9uX+T6rlWU+r0tf4xbjKm1A0cXjCUuKkJhem09A0o2+Iumo+bx54RluFWqzYUN83j3+K4szbVdq3j3+A41ug7nr8mrKFarKVe2LyPA54bS47ly7iTrls+jVcfuzFuVVl+bNDz3+pplYSs6dO+PSQ71tScP7lK/aUtmLd3IxNnLSU5KYuLw3sTHKfcG0us7l7izdzXe/8feXUZHdfQBGH/iQtzdPWhw12LFKVAIWtyLFAoUL1rc3S24u7VAcQgagjtJSDZKhCSb98PCJptsAoUsafPOr2fPKTdz784/c+/sZHbk+3Y0GjEPU3tXjs8fTdJnPDdXd67EyiPnF85p71Ow8vCjdLMuKsp17uoVteaXBt4sOfWY1osvcj8snqWdAjArkks9raHGsk4B2JnoMnjLDRrPPcf4PSGExyfL04xv5kdFD3NGbr9NiwXn+fthFMs7B2BlqPNNYlq7egVbNm9gxG/jWLMhCF09ffr37p5nm+To4YPMnjGN7j37smHLDry8venfuzuSqMy2ka+fP2MnTGLbrgMsWLycjIwM+vbqRnp6uohH+L8lOib/ZWrUqMGAAQMYNmwYZmZm2NjYMG7cOPnPXVxc2LFjB+vWrUNNTY3OnTvnuIayqdx79+7F09MTXV1datasydq1a1FTUyMmJkbh3CNHjuDr64uBgQH169fnzRvZaK9x48axdu1a9uzZg5qaGmpqapw+fVppDFKplClTpuDq6oqenh4lSpRg+/bt8p+fPn0aNTU1Tpw4QZkyZdDX16dSpUqEhoYCsmnl48eP58aNG/L3WrNmDQAxMTF069YNS0tLjIyMqFWrFjdu3JBfe9y4cZQsWZIVK1bg6uqKrq4unTt35s8//2Tu3Lny6z19+pT09HS6du0qz6e3tzdz585ViCX7VO5PlQ/IptUvXbqURo0aoa+vj6+vL+fPn+fhw4fUqFGDIkWKUKlSJR49Uuyg2rNnDwEBAejq6uLm5sb48eNJS0tTuO6KFSto3rw5+vr6eHp6snfvXnmZ16xZEwBTU9Nc7438sjNoPfUbt6Du981wdnWn/y+/oaOjy5H9u5Wm3711I2XKV6JVYGecXNzo1KMfHl6+7N2+RZ7GzNxC4XX+zGlKBJTF1l71Iwr2bdvIdw2bU7tBUxxd3Og5aBQ6OrqcPLRHaXpPH3869RpElVr10NJS3uAqW6k6pStUwc7BCTtHZwK79kNXT5/7IbdUGQpHdm2mev2mVP2uMfZObnTq9yvaurr8dXSf0vS9fplA7UY/4OzuhZ2jCz8NGEWGVMrdG1fkaSrXakjTdt3wK1lWpXlXJiMjg6BN6+jSvSfVatbG08ubsROnEvk2gr9Oncj1vM0b1tC0RSsaNW2Bq7sHw0eNRVdXl/27d8rT/BjYkY4/dce/uPLRuqqwffM6GjZtSf1GzXFxdefn4WPQ0dXj8P5dStPvDNpA2QqVadO+C86ubnTp2R9Pbz92b9+skE5LW1vh+TE0yjmaPr8FbVhL4+Y/8H2T5ri6efDLyLHo6Oqyf89Opem3bt5A+YpVCOz4Ey6u7vToMwAvHz+2b90EyMp666b1dOrak6o1auHh6c3o8VOIfBvBmdO5l3V+aVPann23wjh4J4KnkiRmHHtIcmo63xezVpr++6LWGOlqMmJPCLdexxMWl0LwyzgevX0nTzN05x0O3YngaVQij96+Y/Lh+9gY6eJtrfrOorP7t1KudiPK1GyItaMLzXoMQVtblysnDypN/+PA0VSs1xw7V0+s7J1p2WsYGRlSHmbpkHh2/w4BNerh7l8KMytbyn/XBFtnd148DFFpLK0C7DhwO5zDdyN4Jkli1onHJKel09A/55ezAA39rTDU1eS3ffe4/UZWNjdexfEoMlGe5tLTGFaef/HNRklmdfTcXcYv2s/eU3mPkvyo+w9VePoqil9n7SL0SThLgv5i14lg+gfWlKcZ0L4Wq3f+zfq9F7j3OIz+k7aQlPyeTs0qqioMudBTu3GvWA+3Ct9hbOtE2TZ90dTW4fH5Y7meI5Wmc37tDIo1DMTA3EbhZ9p6RajV73ecAqpiZO2AhasPpVv1QvLiIe8kEblcMX/8fWAbZWp/T0DNBlg5uNC422C0tHW5duqQ0vSu/iXxK1cVKwdnzGzsqdjwB6yd3HkWehuQ1WvnD26neosO+Jatgo2zOy37jiA+OpKQy2dVGgvArWO78K3aAJ/KdTG1c6Za+/5oautw79xRpentvIvjGlAZU1snjK3sKFanGeYOroQ9vCNPE/4oBK9KdbDzLo6hhTV+1Rpi7uBGxJNQlcezZ9tG6n6f2V7rPXgUOrq6nMijvda51yCq1qqHZi7ttbHTF1K7fhOcXN1x9fBiwK/jeRsexqP7d1UZCiEnd+FZuT4eFb/DxNaJCm37oaGty8O/lZcNyJ6bM6v/oMT3gRha2OT4uXv5WpRo2A5bn5IqzLlyHSs5s+PKS3Zff83jt++YsC+EpNR0mgfYK03fPMAeY30tBm66QfDzWF7HJHPlaTT3P8xS0NFUp46fFbOOPODqsxheSJJYfOoxL6KSaFNO9X8bZGRksHnjOrp270WND+3PCb9P5e3bCE6fPJ7reRvXr6VZi1Y0adYCN3cPRvw2Dl1dXfZmaX+2+KE1AaXLYmdvj4+vP336DSQ87A1vXr8S8Qj/t0TH5L/Q2rVrKVKkCBcvXmT69OlMmDCBY8dkjbvLly9Tv359WrduzZs3b3J0pCnz5MkTfvjhB5o1a8aNGzfo2bMno0aNypEuMTGRGTNmsH79ev766y+eP3/O0KFDARg6dCitW7eWd1a+efOGSpUqKX2/KVOmsG7dOpYsWcKdO3cYNGgQ7du3588//1RIN2rUKGbOnMmVK1fQ1NTkp59+AqBNmzYMGTIEf39/+Xu1adMGgFatWhEREcGhQ4e4evUqAQEB1K5dG4kk8w+Lhw8fsmPHDnbu3ElwcDBz586lYsWKdO/eXX49R0dHpFIpDg4ObNu2jbt37zJmzBhGjhzJ1q1bv7h8Ppo4cSIdO3YkODgYHx8f2rVrR8+ePRkxYgRXrlwhIyODfv0yR5+dOXOGjh07MnDgQO7evcvSpUtZs2YNkyZNUrju+PHjad26NTdv3qRhw4YEBgYikUhwdHRkx44dAISGhn72vfElUlNTeRAaQqmyFeTH1NXVKVWmAiG3lf+RFXLnJqXKVFA4Vrp8JULuKE8fLYni0t9nqNeoef5lPBepqak8uh9C8dLl5cfU1dUpXro8oXc/74/GT0lPT+fsySMkJyfh7Zf7NNevlZaaytOH9/ArWU5+TF1dHf+SZXl07/M6RFNSkklPT6fIN5jS/Dlev3pJVGQkZctn/nFtYGiIf9Hi3LoZrPSc1NT3hIbcpWx5xXu0bPmKuZ7zLaSmpnI/9C4B2Z6dgLIVuHvrhtJz7t6+Qemyis9OmQqVcqS/ce0KLRtUp1PrxsyZNpHY2Jh8z39WqanvCb13l7LlMstFXV2dMuUqcDuXWO7cDKZMecVYyleszJ0PZfL61UuioiIV0hgYGuJXtDi3byq/Zn7RVFfDy9qAq89j5McygCvPY/C3NVR6TmV3M+68jmdwbXf29CrH2k6l6FDOIc+pOkV0ZDMZ4pLTck+UD9JSU3n1+D4exUvLj6mrq+NRvDTP7t/J48xMqe9TSE9LQ98gsy5w9vIn5Mo5YqPekpGRwaPb13j75gWeJVT3pYWmuhreVgZcfRErP5YBXH0ei18uZVPJzYy7b+L5uaYrO7uXYXX7kgSWtf/PTqMqX8KVUxcVO32O/R1C+eKuAGhpalDK15GTWdJkZGRw8mIo5T6kUZX0tFQkLx5i411SfkxNXR1r75JEPr2X63l3Dm1B19AY94p1c02TVWpSIqipoa2nuk79tLRUXj++j1sxxefGvVgALx58+rnJyMjg0a2rRL55gYuv7LM+OuINCTES3LNcU1ffAAcP38+65tdIT0vl7bMH2PuWlB9TU1fHwbck4Y8+/WVCRkYGL0OuExP2EluvzKnS1u6+PAu+wLvoSDIyMnh17wax4a9w8A9QRRhyubXXSgSUJzSX9uSXSHwXD4CBCr/gS09LJer5Q2yzPTe2PiV5+yT35+bmwc3oGprgWbmeyvL2JTQ11PCzM+TC48y/xzIy4MIjCSUclf8ea/pYcuNFLKMa+XB6eDV29qtIt2ou8npaQ10NTQ113qdJFc5LTkunlLOJqkKRe/Wh/VkuW/uzaLHi3MqlTZKa+p57IXcoX0GxbVSuQkVu5tL+TEpMZO+endjbO2Btk7OzOb8Utnj+i9TUCu71XyDm+v4LFS9enLFjxwLg6enJggULOHHiBN999x2Wlpbo6Oigp6eHzWc+7EuXLsXb25s//vgDAG9vb27fvp2j0ys1NZUlS5bg7i5bi6Rfv35MmDABAAMDA/T09EhJScnzfVNSUpg8eTLHjx+nYkVZJebm5sbZs2dZunQp1atXl6edNGmS/N+//vor33//PcnJyejp6WFgYICmpqbCe509e5ZLly4RERGBjo5sCP+MGTPYvXs327dvp0cP2XTM9+/fs27dOiwtLeXnamtro6+vr3A9DQ0Nxo8fL/+3q6sr58+fZ+vWrbRu3TrXGPMqn4+6dOkiv8bw4cOpWLEio0ePpl49WUNi4MCBdOmSOc1i/Pjx/Prrr3Tq1En+O5s4cSLDhg2TvxfIRnC2bdsWgMmTJzNv3jwuXbpE/fr1MTMzA8DKykql08/jYqKRpqdjYqa4zpOJmTkvnj9Rek50VKTS9NFRkUrTHz+0Fz19fSpXr6305/kpPjYGqTQdE1MzxfyZmvHq+dOvuvazxw8Y0a8z79+/R1dPj+HjZ+Loorr1VuLjZLEYmyjGYmRixpsXn7fO2LbVCzExsyiQ0ZHKREXK7hGzbFOwzMzNicrl/omJjiE9PT3HOabm5jx9+u2nbX4U++HZMc32LJiamvPiqfJnRxIVqTS9JEvsZStWoWqNOtjY2fP61QtWLp7HiEG9mb98AxoaGvkfCLLR6+np6ZiZK+bNzNyc57nEEhUViVm2WMzMzIn6MB3oY0w5ytos97LOL8Z6WmiqqyF5l6pwPDoxFWczfaXn2JnoYmOky7GQCH7ZeQcHUz0G13ZHQ0ONNedf5EivBgyo4cbNV7E8iUrMecF8lBgfi1SajoGxqcJxA2NT3r56/lnXOLRhCUZmFnhk6VBp0nUgO5fOYEqvH1DX0EBNTZ0WvYbi5qe6UcfGeppoqKshSVSc9hqdmIqTmZ7Sc+yMdbBxNObYvbf8uicEexNdfq7phqa6GmsvvlRZXlXF2tyIcEm8wrEISRzGhnro6mhhaqSPpqYGEdnTRMXh7aJ8xG9+SXkXR4ZUiq6RicJxXUMT4sOV/67fPrrDowtHaTB83me9R3rqe4L3rsa5dDW09JQ/j/khMS4WqVSq9LmJfJ37c5OcmMAfvVqRlpaKuro6jbr+jEfxMgAkfFhGJfs1ixibyn+mKskJsrLRM1J8bz0jU2LCcn8OUhLfsWFYe6RpqaipqVMlsC8OfpmdjlXa9uav9fPYMKwD6hoaoKZG9Q4DsfPKfa3k/JBbe83Y1IyXX9le+0gqlbJywQx8i5bE2dUjX66pTIq8bEwUjusZmhAXnvPzAyD84R0e/n2URiPnqyxfX8pUXxtNDXWiEhTr6aiE97haFFF6joOpHuVcTTlwM4w+66/jaKbPb4190NRQZ8mpxyS+Tyf4eQw9a7jy+O07ohJSaFjchhKOJjyXqPYzFDLbn+Y52jkWREW+VXZKZvtTSdvo6RPFttG2oE3Mmz2TpKREnF1cWbh0JVpa2vkYgaLCFo9Q+IiOyX+h4sUVR1TZ2toSEfHlU1dCQ0MpW1axk6FcuXI50unr68s7Jb/0fR8+fEhiYqJCJx3IOgtLlSqlcCxrnLa2tgBERETg5OSk9No3btwgISEhR4WalJSkMC3a2dlZoVMyLwsXLmTVqlU8f/6cpKQk3r9/T8mSJfM853PKJ2saa2vZHwXFihVTOJacnExcXBxGRkbcuHGDc+fOKXQWp6enk5ycTGJiIvr6+jmuW6RIEYyMjP5xGaWkpORYSyQlJUPe2ftvcGT/bmrVbYj2vyhPX8LO0YWZyzeT+C6B83+eYP60MUycvUKlnZNfY//WtVz86xi/Tl2EtnbB/O4PH9zHtN/Hyf89c57qN3D5r6v1XQP5/7t5eOHm4UWHlg25ce2ywuhMIX+po0ZM4nv+OPYQaQbcj3iHpYE2bcs4KO2YHFzbHVcLffpuyb+RPapyetdGbpw7SY/xc9HKUhf8fWgnz+/fpePwyZha2vDk7g32rJiDkakFnh86Yv4N1NTUiE5MZeaJR/KysSiizY9l7P+THZOFSWpyIufXzaLcj/3RMfj0iDRpehrnVk2FDCjbuu83yOE/p62rT5/pK3ifnMTjW9c4vG4RZlZ2uPqXLOisfRFtXT1+GLOQ1OQkXt0L5vzW5RhZ2mLnLWuD3j65l/DH96jXbyyG5ta8uX+Ls5sWoW9ijoNfqU9c/d9t2dypPHvyiCnzVxV0VhSkJidybu1MKgYOQPcznpv/AjU1kLx7z/g9d5FmwN3X8Vgb6dC5igtLPqz9O2L7bSY29+fksGqkpUsJeRPPoVth+NkpHy3/NQ4d2MfkiePk/56zYHG+v0dWDRo2pnyFSkRGvmX92tX8+ssgVq7dlG9/jxW2eAoD9f/K0MUCIjom/4Wyr1mnpqaGVCrNJbVq3/ef7kidkCBbF+TAgQPY2yuuKZK9Ysr6fmofHtS84kxISMDW1lbp2pZZRwgWKaL8m7nstmzZwtChQ5k5cyYVK1bE0NCQP/74g4sXL+Z53ueUj7LY8oo3ISGB8ePH06JFixzvp6ur+4/e+1OmTJmiMFIUYMAvo/h52G+fdb6RiSnqGhrEZNvgIkYSlevC4qbmFsrTm+dMfzv4Gi+fP2XkhOmflZ+vZWhsgrq6Ro6F02OiJTlGef5TWlpa2NrLOtrdvfx4GHqH/Ts30Xvw5/2u/ylDI1kssdlGYcTFSDDONsIgu0M7NnBg+zqGTVqAo6unSvL3OapWr6Wwc3Zqquzbd4kkEossXzhIoqLw9PZReg0TUxM0NDSQSBRH2UVHRWGu5J77Vow/PDvZN4eJjo7K8W30R2bmFrmkzz0OO3tHjE1MefXyuco6Jk1MPvyOoxTzJomKwswilw2hzC0UNh8CkEii5F82fYwpR1lLovD0Ul7W+SU2KZU0aUaORfpN9bWIeqd8g4qod+9Jk2YgzfIx+TQqCXMDbTTV1UjL8oOfa7lR0d2M/ltuKmyOoyr6hsaoq2vk2LAjITYaA5O864K/9m7h9O5NdBszE1vnzC8rU1NSOLJpOR1++R2f0rIZEbbO7rx++pAze4NU1jEZm5RGujQDM33FkRem+lo5Rrh+FPXuPenZyuZZdBLmRXKWzX9BeFQc1maKf4hbmRkRG59EckoqkdEJpKWlY5U9jbkRYVGq3b1Wp4gRaurqJGfbTCU5PgbdbCP1ABIiw3gnCeevZRPkxz62NbcMbML3vy3F0FL2ZfXHTsl3kghqDZis0tGSAPpGxqirq//j50ZdXR1zG1mb19bFg7evnvHX7o24+peUn5cQG42haWY9/y42GhsX1Y3IA9A1kJVNUpxiPElx0TlGUWalpq6OsZUdABZO7sS8ecH1g0HYeRcn7X0Kl3atpW6f0TgXlw1yMHdwJerFY24c3aHSjsnc2mux0ZIcMwu+xLK5U7l8/gyT567AwlK1I4115GUTo3A8KZfnJv7tGxKiwjm5OLP9/vG5Wd+vMc3GLpM/NwUhOvE9aelSzA0U62lzA22iEpRvrBIZ/540qVShnn789h2WhjpoaqiRlp7By+gkuqy6gp6WOkV0NIlMeM8frYvxUpL/GxNVq1FLYafpjxuoRkVFYWGZuZ6xJCoSL2/fHOdDlvankraReba2kYGhIQaGhjg5u1CseAlqVqnAqZPHqd8gf3a3L2zxCIWfWGPy/4C3tzdXrlxROHb58uV/fB1tbe1P7q7l5+eHjo4Oz58/x8PDQ+Hl6Oj4Ve8VEBBAWFgYmpqaOa5tkcsfwnld79y5c1SqVIk+ffpQqlQpPDw8cmxI860EBAQQGhqaIy4PDw/U1T/vMdXWljUGPlVGI0aMIDY2VuHVe+Avn51XLS0tPL19Cb6S2YErlUoJvnoR36LK10/09S9O8FXFDt9rly/g658z/eH9u/D09sPN0/uz8/Q1tLS0cPfy5ea1zB00pVIpN69dyvf1IKVSKWmpyv+Qzg+aWlq4ePhwNzjz+ZZKpdwNvoy7T+5TrA5uX8/eLasYMmEOrp7KGyffSpEiRXB0cpa/XN08MLew4PLFzN0+3yUkcOf2TYoVL6n0Glpa2nj7+imcI5VKuXzpQq7nfAtaWlp4eftx/bLis3P98gX8iimfCutXtATXLis+O1cvnc81PcDbiDDiYmMwN/+8keNfQktLG28fP65cVvwdX718kaK55M2/eEmuXlLctfXyxfP4fygTO3sHzM0tuHopM953CQncvX2ToireoChNmsH98ARKO5nIj6kBpZ1MuPMmXuk5t17HYW+iS9bvvx1N9YhMSMnRKVnNw5yft97iTZzqdxcHWV1g7+bFw1uZG9dIpVIe3rqGs1fOnVw/+nPPJk5sX8dPo6bj4K7YGZyenkZ6ehpq2RZqVFdXJyNDdV+epkkzCI1IICDLOmVqQGlHY+7mUja3X8fnLBsTPSIT3v/nOiUBLt54Qo1yip+JtSv4cPGmbCpdalo610NeULN8Zho1NTVqlvPi0k3lSyvkFw1NLcwcPQi7n7lGWYZUSvj9G1i45PxCwcjagQYjFlB/+Dz5y75oeaw9i1F/+Dz0TWXtuY+dkvFvX1Oz3yR0iqh+3WNNTS3s3Lx4fOua/JhUKuXx7Ws4eub+3GSXkSElLU32WW9qZYuBiZnCNZMT3/HyYcg/uuaX0NDUwtLZk1chwZl5k0p5FRKMtfvnf9ZnZEhJ/xCPND0NaXqa/Av2j9TU1UGF9QB8or2mpD35uTIyMlg2dyoXzp5i4qylWNsq36wlP2loamHu5MGb0ODMfEilhIUGY+ma87kxtnGk8W8LaTRyvvzlWKw8Nl7FaTRyvvy5KShp6RncfR1PebfMDnw1NajgZsaNLOsDZ3X9eQyOZvoK6985m+sTEZdCWrpiPZ2UKiUy4T1GuppU8jDn1D3lU4+/Rvb2p5t7zvZnQkICt2/dpFgubRItLW18fP25lL39efECxfNof2ZkQAYZpL7Pvy8uC1s8QuEnRkz+H+jZsyezZs1i+PDhdO3aleDgYPku19kbFnlxcXHhyJEjhIaGYm5ujrGxcY4RfIaGhgwdOpRBgwYhlUqpUqUKsbGxnDt3DiMjI/kaip/zXk+ePCE4OBgHBwcMDQ2pU6cOFStWpFmzZkyfPh0vLy9ev37NgQMHaN68OWXK5D5aw8XFhYsXL/L06VMMDAwwMzPD09OTdevWceTIEVxdXVm/fj2XL1/G1VW1C8UrM2bMGBo1aoSTkxM//PAD6urq3Lhxg9u3b/P7779/1jWcnZ1RU1Nj//79NGzYUL5WZ3Y6Ojo5Rq9GvU/+R/lt0aYDMyaNxtPHH2+/ouzauoHk5CTqft8MgD8mjsLcwoqfeg8EoFnrQH7p25Udm9dSrlI1Th8/zIN7dxg4fLTCdd+9S+DMqaP06DfkH+XnazVuFcj8qWPx8PbD08effTs2kZKcRK36TQCYO2U05hZWtO/eH5Ctx/rymWyaSVpaKpLICJ48DEVXT08+QnLD8vmUKlcJS2tbkhLfcebEYe7cuMroaQtVGku95m1ZPmsCrp6+uHn5cXTPFlKSk6n6XSMAls0ch6m5Ja06y6bEHdi2jl0bltFz2AQsrOzkI1t19fTQ/TA6JSE+lqiIcGIksoZg2CvZepXGpuZfPar0U9TU1GjTriNrVizF0ckZO3sHli2ah4WlFdVqZq5B2q9nF6rXrEOrHwMBaNu+MxPHjMDXryh+RYsRtGkdyUlJfN80c0OlqMi3REVF8vK5bO2wRw/uo1+kCNY2thgbm6gknh/admTaxFF4+frj41eMHUHrSU5Oot6HZ2fq+JFYWFrRrc/PALRo055BvbuwdeNaKlSuyqljh7kfcofBv8rWnk1KTGTdysVUrVkHMzMLXr96wbIFs7BzcKJMhcoqieGjNu07MWnsSHx8/fErWoytm9bLfsdNZL/jiWNGYGFpRe/+gwBo3bY9fbt3ZvP6NVSqUo3jRw9x7+5tho8aB8jKunW7DqxduRQHJyfs7BxYvng+FpZWVK2h+vVmg66+YmR9L+6FJRASFk+rADv0tDQ4eDscgFH1vYhMSGHpWdn9v/vGG1qUtGVgLTd2XH+Ng4keHco7sP36a/k1B9d2p46PJSP33CXxfTpm+rLPzIT36TkW9M9vVRq1ZtvCKTi4++Do4cPZA9t5n5JE6Zqyqf9B8ydhbGZJ/UDZ+synd2/iWNAqfhw4GlNLG+KjZXWBtq4eOnr66OoXwdWvJAfXL0FTWwdTCxse3w3m2p9HaNRJtVNst117zYi6noSGJxASlsAPAbboamlw6K5sKZMRdT2IfPee5edkz/Kem2E0L2FD/xqu7Ax+g4OJHoFl7dkZ/EZ+TT0tdexNMmck2Bjp4GGpT1xyGhHxqv1jqoieNu6OmV8cuNibU9zLnui4RF6ERTOhfxPsrIzpNno9AMu3n6XXj9WYNLApa/dcoEZZL1p+V4rmAzKXupi34STLJ3Tg6t3nXLn9lH7taqKvp8O6PRdyvH9+867ZjAsbZmPm5Im5sxehp/eQlpKMa4U6AJxfNxM9E3NKNumMhpY2JnYuCudr68lmunw8Lk1P4+zKKUS/eES1nmPIyJDKR/1p6xugoal8d+X8UOn7VuxcNBV7dy/s3X05f3A771OSCahRH4DtCyZjZGZJ3XbdAfhz10bs3b0xs7YjLTWVB9cvEnzmGI27yuo9NTU1Kjb8gdO71mNma4+plS0nglZhaGqBb9kqKovjo2LfNef0qplYunhi5erNreO7SX2fgndl2ZJLJ1fOoIipOeVbyNY9v34wCEsXT4wsbUlPS+X5rcs8uHCSKoGyDRu19Ypg61WMC9tXoqmtg4GZFW/u3+L++RNUbN1d5fE0bRXI3Klj8fDyw9PXn33bN5GcnETtD+21OZNHY25pRYcs7bUX2dprjx+GopelvbZ0zlT+OnGIkb/PRk9fn+gPsy30ixigo6OrJBf5w7dWc86tm4WFs+y5CTkle248KsrK5uyameibmBPQTPbcmGZ/bvRlz03W4ynv4nkniSAxVjaqNDZctiuynpEpesZ5j5b/Wuv+fsakFv7ceRXHrVdxdKjohJ62BruvyT4TJ7X0JyIuhbnHHgIQdOkFbcs78mtDbzZdeIGTuT7dq7uy8ULmUiiVPMxRA55GvsPJXJ/B9bx4EvlOfk1VUlNTo21gR1YuX4KjszP29g4sXjgPS0sratSqI0/Xu3sXatSqQ5u2svZnYIdOjBs9Aj//ovgXLcamDetISkqicTNZ2+jlyxccO3KIChUrY2pqSnh4OGtWLUdXR4fKVaqJeAoxMSIwb6Jj8v+Aq6sr27dvZ8iQIfIdqkeNGkXv3r3/0boP3bt35/Tp05QpU4aEhAROnTpFjRo1cqSbOHEilpaWTJkyhcePH2NiYkJAQAAjR4787Pdq2bIlO3fupGbNmsTExLB69Wo6d+7MwYMHGTVqFF26dOHt27fY2NhQrVo1+TqOuRk6dCidOnXCz8+PpKQknjx5Qs+ePbl+/Tpt2rSRVdZt29KnTx8OHTr02fnML/Xq1WP//v1MmDCBadOmoaWlhY+PD926dfvsa9jb28s30enSpQsdO3aUd0Dnt+p16hMbE836FYuIlkTi5unN7zMXyafSRISHoaaWWf36FSvJ8HFTWLtsAWuWzsfOwYkxU+bg4qY4ZfjP44chA2pkWTPvW6hSsx5xMdFsXr2YmOgoXN29GT1tgbzTLTIiTGHkanTUW4b0aCv/956t69mzdT3+JUozcfZyAGJjJMybOoZoSST6RQxwcfNk9LSFlCyj2jX/ylf7jvjYGHZtWEZsdBRObl4MmTAH4w9TyKLehiuUzcmDO0lLS2Xh5BEK12narhvNA2V/ZFy/cIaVcybKf7Z42m850qhSh85dSU5KYurvY0mIj6d4yQDmLFymUH+9fPGCmJjM6Wrf1WtATLSE5YvnExUViae3D7MXLlWYyr1zexArly6S/7tX144A/DZ+Eo2aqGZH+Jrf1Sc2RsKa5QuJjorE3dOHqbOXyKcxR4S9UfjCyL94SUZNmMqqpQtYtWQu9o7OTJg+F1d32bOjrq7O44f3OXpwLwnxcZhbWFGmfEU69+gnH0WtKnXqyn7HK5YsQBIViaeXDzPnL5XHEp4tlmIlSjFu0nSWLZ7H0oVzcHByZsrM+bh5ZNYDgZ26kpSUxPRJ4+RlPXP+0m+yRtHJ0EhM9LToWtkJM31tHr59x9Adt4lOlI0UsjbSUVjeJCL+PUN23KF/DVdWdwwgMiGF7ddes/Fy5hqGzUvKptbNb6M4mmfy4fscuvPla0d/jhKVa/EuLoZjQauIj5Fg5+LBT6P+wPDD1NKYyAiFuuDC0T2kp6WyceYYhevUbtWZ71rLOi3a/TyGw5uWETT3dxIT4jC1tKFe226Ur9tUpbGcuh+FiZ4WXSo6YaavxcPIdwzbfVexbLKkf5vwnl9236VfNVdWtS/J24T37Ah+w+Yrr+RpvK0NmPND5k7D/arLvpQ8fDeCqUcfqjSeAD9njq4YKP/39KEtAVi/9wI9xm7AxsIIR5vMToRnr6No3n8J04e2oG+7GrwKj6H3hE0cP5+5s/L2o9ewMDVgTO/vsTY35GboK5r2XZhjQxxVcC5djZSEWG4d2EByfDSm9m7U6DNBPl04Mfqtwr32KYkxUby6JRs5fXjaAIWf1RowGWvP/J3NkFWxSrV4FxfLia1rSIiRYOviTscR0+RTsmOjIhTaA6kpyexbOYe4qLdoaetgYe/ED/1GUqxSLXmaqk1+JDUlib3LZpKcmICTdzE6jpiGlorraACPstVJjo/lyp4NJMZJsHB0p+HAieh/KJsESYRCPZ2aksyZjQt5Fx2JppY2JraO1Oz6Cx5lMzevrNPjVy7uXMOJFdNJeRePobkV5Zp1wq+66qdsVqlVj9jYaDavWUy0RNZeG5ulvfY2Ikw2evMDSdRbBnfPbK/tDlrP7iBZe23SHFl77fDebQD8NkixPdN/+Dh5h6cquJaRPTfB+zeQFBeNmYMbtftlPjfvot/mGKH+KS9uXuDv9XPk/z6zahoAxRu2o2SjwHzLuzJHbodjVkSbvrXdsTDQ4d6beHqtuyZfDsXWWFdhUG14XAq91l3jlwZe7OhbgYj4FDacf86qM0/laQx1NRn4nQfWRrrEJqVy/E44844/+mYj3zt16UZyUhKTJ4wlPj6OkqUCmLcoW/vz5XOF9mfd+g2Jjo5myaJ5REXKpknPX7RM3v7U0dbh+rUrbN6wjri4OMzNzSlVugwr123OdVkfEY/w/0At458uIigUCpMmTWLJkiW8eKF85zfh/8uTyH82YvLfLDEl76ns/zVxSaqb+l0QfFSwYHlBeVfI7jVdrcL1XW7zpaofKfatDP5OtWvRfWtzTz4u6Czkq4trNxV0FvLN8GkDP53oP8TP6vPWHf+veBlXeNprDTxUu47jt7Yz5M2nE/2HbDmt2mUgvqW/R6l+1oXw5Qx1C1f7MzejDt0vsPee1MCrwN77c4kRk/8nFi1aRNmyZTE3N+fcuXP88ccf9OvXr6CzJQiCIAiCIAiCIAiCIPyfEh2T/ycePHjA77//jkQiwcnJiSFDhjBixIhPnygIgiAIgiAIgiAIgiB8EfV/sLfH/yPRMfl/Yvbs2cyePbugsyEIgiAIgiAIgiAIgiAIgNgcSBAEQRAEQRAEQRAEQRCEAiBGTAqCIAiCIAiCIAiCIAiCCoiZ3HkTIyYFQRAEQRAEQRAEQRAEQfjmxIhJQRAEQRAEQRAEQRAEQVABdTFiMk9ixKQgCIIgCIIgCIIgCIIgCN+c6JgUBEEQBEEQBEEQBEEQBOGbE1O5BUEQBEEQBEEQBEEQBEEF1MXuN3kSIyYFQRAEQRAEQRAEQRAEQfjmxIhJQRAEQRAEQRAEQRAEQVABMWAyb6JjUhAENArRNmGFKRYAE32tgs5CvopNSi3oLOQbbY3CNelAR7NwxbOxS9mCzkK+iU54X9BZyFcLWhUv6Czkq+1+lgWdhXwzbfjcgs5Cvpq9aGhBZyFfXXseX9BZyDfFLI0KOgv56tqz2ILOQr7a2rtSQWdByE3h+lNHEADRMSkIgiAIgiAIgiAIgiAIKlHIxs7ku8I1PEIQBEEQBEEQBEEQBEEQhP8E0TEpCIIgCIIgCIIgCIIgCP/nFi5ciIuLC7q6upQvX55Lly591nlbtmxBTU2NZs2a/eP3FB2TgiAIgiAIgiAIgiAIgqACagX43z8RFBTE4MGDGTt2LNeuXaNEiRLUq1ePiIiIPM97+vQpQ4cOpWrVql/0+xEdk4IgCIIgCIIgCIIgCIJQyKSkpBAXF6fwSklJUZp21qxZdO/enS5duuDn58eSJUvQ19dn1apVuV4/PT2dwMBAxo8fj5ub2xflUXRMCoIgCIIgCIIgCIIgCIIKqKsV3GvKlCkYGxsrvKZMmZIjj+/fv+fq1avUqVMnM9/q6tSpU4fz58/nGtuECROwsrKia9euX/z7EbtyC4IgCIIgCIIgCIIgCEIhM2LECAYPHqxwTEdHJ0e6yMhI0tPTsba2VjhubW3NvXv3lF777NmzrFy5kuDg4K/Ko+iYFARBEARBEARBEARBEIRCRkdHR2lH5NeKj4+nQ4cOLF++HAsLi6+6luiYFARBEARBEARBEARBEAQVUP9ne9AUCAsLCzQ0NAgPD1c4Hh4ejo2NTY70jx494unTpzRu3Fh+TCqVAqCpqUloaCju7u6f9d5ijUlBEARBEARBEARBEARB+D+lra1N6dKlOXHihPyYVCrlxIkTVKxYMUd6Hx8fbt26RXBwsPzVpEkTatasSXBwMI6Ojp/93qJjUvgmTp8+jZqaGjExMQWdFbkaNWrw888/F3Q2cnBxcWHOnDkFnQ1BEARBEARBEARBEL6Smppagb3+icGDB7N8+XLWrl1LSEgIvXv35t27d3Tp0gWAjh07MmLECAB0dXUpWrSowsvExARDQ0OKFi2Ktrb2Z7+vmMotyL148YKxY8dy+PBhIiMjsbW1pVmzZowZMwZzc/OCzt7/jcuXL1OkSJGCzsYn7dm+hW0b1yCRROLu4UXfwSPw8S+Wa/o/Txxl7bIFhIW9xt7BiW59B1G+UlWFNM+ePmbFwtncvH4VaXoaTq7ujJ08CysbW1WHw4FdQezespZoSRQuHl70GDAcL9+iStM+f/KITasX8Sg0hIjwN3TtO5QmrQIV0ty5cZVdW9bx8P5doqMiGTFxFhWq1lR5HAAHdwWxK2gdMZIoXNy96D5g2CdiWcyj+yG8DX/DT32H0OQHxVi2b1zFhTMnefn8KTo6Onj7l6BTjwHYO7l8g2hg744tbN+4FokkEjcPL/oM/hUfv9zvtb9OHmXtsoWEf7jXuvb5mXJZ7rV6lUooPa9b30G0Cuyc39nPYde2zQRtXIMkKhJ3T28GDBmBbx7PzukTR1i1dAFhb17j4OhEj76DqFC5mtK0s6ZOYN+ubfT9eRg/tO2gqhAUZGRksHTRfHbt3EZCfDwlSpbi11FjcXJ2yfO8rVs2sn7tKqIiI/H08uGXX0dRtFhx+c8nTRjLpYvniXwbgZ6+PsVLlGLAz0NwcXVTWSyFrV47vGcr+7atJ0YShbO7Jz/1/QUPH+V1wYunjwhau4QnD+7xNvwNnXoP5vsW7RTSbF23lO3rlyscs3N0Zs6qHSqL4aNDu7eyR16vedK1/zA886jXtqxZwuMP9VqXPkNo9INiLIf3bOPIvu28DXsDgKOLG606dCegfGWVxwJw/6/93Duxk6S4aEztXSn9Q0/MXbw/ed6zq3/y95o/sC9WgWo9fgNAmp7Gzf3reX3nCglRYWjrFsHauwQlmnZG31i17bfKAe4M6liHAD8nbC2NaT1oGftO38zznKqlPZk2pAV+7ja8DIth6orDbNh3USFNz9bVGNSpNtbmRty6/4rB07Zx5c4zVYYiF3x8L1cPbeddrARLJzdqtu+DjZuP0rQPrpzl0v4txIa/Jj09DVNrewLqt8Svch2FdFGvn3N260peht5Emp6Oub0zjfqNxsjcSuXx1PEy53s/K4z1NHkencS6y694HJWkNG1VN1N6VnJSOPY+XcpPm28BoKEGP5S0paSdIZaG2iS9l3I7LJ6g62+ISUpTeSwAfx7cwYldm4iLkWDv4kGr7oNw8fJTmvbc0b1cOnWI18+fAODk7k3j9j1zTb958XTOHdlDy58GULNJG5XF8FF9X0uaFrXGRE+Lp9FJrDz/nIeRiUrT1vQwp181F4Vj79OktF13Xf7vflWdqempuM7b9Zex/H70Yb7nXZnC1v4sTO0bhXh2ZInnt8+MZ02WeEYoiedCtngGqT4eQTXatGnD27dvGTNmDGFhYZQsWZLDhw/LN8R5/vw56ur5P75RjJgUAHj8+DFlypThwYMHbN68mYcPH7JkyRL5sF2JRFLQWfwiGRkZpKV9m4bSp7x///6z0llaWqKvr6/i3Hyd08cPs3TeH7Tv2ovFa4Jw8/RmxKBeREuilKa/czOYyWOHU79xcxav3UrlarUYN3wgTx49kKd5/fIFg3p2wsnZlZkLV7J0/Q4Cu/RA6x980/Klzpw8wqpFM2nTuSezlm/C1d2Lcb/0ISZa+X2fkpKMta0DHXoMwNRM+UK/yclJuLh70fPnEarMeg5nTx5h1eJZ/NipB7OWbcLF3ZPxw/rmGYuNnT0d84jlzo2rNGjWmukL1zLuj8Wkp6UxblgfkpOU/2GTn04fP8yyeTMI/KknC1dvwc3Dm1GDehOT2712K5gpY3+lfuPmLFoTRKVqNRn/6888zXKvbd53QuE1eOR41NTUqFKjjtJr5qeTxw6zeO4fdOrai2Vrt+Lu4cWwgT1zfXZu3wxm4ujhNGzcguXrtlGlWi1GD1N8dj46c/oEd2/fxMJS9X/oZrV29Qq2bN7AiN/GsWZDELp6+vTv3Z2UlJRczzl6+CCzZ0yje8++bNiyAy9vb/r37o4kKvP34Ovnz9gJk9i26wALFi8nIyODvr26kZ6erpI4Clu99vfpo6xbOpsf2ndn2uINOLt5MWlEf2I/Ua+169oPE7PcO7McXdxYFnRY/powe6WqQpA7d+ooaxbPonXHHvyxdCPO7l5MHN4v11jepyRjbWtP++79c43F3NKa9t36M33JBqYvXk/RUmWZNnowz588UmUoADy7+hfXd62gaIO21B82FxN7V04tGkNyfEye5yVEhXN99yos3f0Vjqe9T0Hy4hFF6/9I/WFzqdJtJPERrzizdKIKo5ApoqfDrfuv+HlK0Geld7YzZ9f8Xvx15T7lf5zKgk2nWDymHXUq+srT/FA3gGlDmjNp6SEqtpvGzfuv2LuoL5amBqoKQy704mn+2rKMCs0CCRy/EAtHN3bOGEViXIzS9LpFDCnfuC1tRs+hw+9L8Ktal6MrZ/L01hV5mpiI12ydNBhTW0da/foHHX5fQvkm7dDUUn09UN7ZhMDSduy6GcZvB+/zPDqZ4bXcMNLJfWxK4vt0+m6/I3/9vCtE/jNtTXVczPTYfSuc0QcfMOevp9ga6TC4hqvKYwG4evY4u1bNp8GPPzF81irsXTxYOH4w8THRStM/uH2N0lW/Y+DEeQyZthQTCysWjhtETNTbHGlvXPiTp6F3MM6lLZTfKrma0rmcA1uD3/DL3hCeSRIZXc8TI93cy+bd+3S6br4hf/XaeitHmmsvYxXSzD79RJVhyBW29icUnvaNQjybNjBi9DjWbPwQT6/PiOePaXTv1ZcNQR/i6ZVLPLuzxNNT9fEIqtOvXz+ePXtGSkoKFy9epHz58vKfnT59mjVr1uR67po1a9i9e/c/fk/RMSkA0LdvX7S1tTl69CjVq1fHycmJBg0acPz4cV69esWoUaPkaV1cXJg8eTI//fQThoaGODk5sWzZss96n3PnzlG8eHF0dXWpUKECt2/fVvj5jh078Pf3R0dHBxcXF2bOnKnw8/Xr11OmTBkMDQ2xsbGhXbt2REREyH/+ccr4oUOHKF26NDo6Opw9e5Z3797RsWNHDAwMsLW1zXFdZW7cuEHNmjUxNDTEyMiI0qVLc+VKZkPz7NmzVK1aFT09PRwdHRkwYADv3r1T+D1NnDiRjh07YmRkRI8ePahUqRLDhw9XeJ+3b9+ipaXFX3/9JT8v61TumJgYevbsibW1tXy49P79+z87H6qwY/M6GjRpSf1GzXB2dWfgsNHo6OhxZP9upel3bd1I2fKVad2+C84ubnTu2Q8Pb1/2bN8iT7N66XzKVapK936D8fD2xc7BkUpVa2Kaxx/I+WXPtg3U/b4FdRo0xcnFnd6DR6Gjq8vxg8rj8fTxp0vvQVSrXR8tLS2laUqXr0L7bn2pWLWWCnOe055tG6n7fXNqN2iKo4ubPJYTh/YoTe/p40/nXoOoWqsemrnEMnb6QmrXb4KTqzuuHl4M+HU8b8PDeHT/ripDAWDnlvXUb9KCeh/utQHDfkNHRzfXe2331o2UKV+JVoGdcXJxo1OPD/fajsx7zczcQuF1/sxpSgSUxdbeQeXxbNu8ju+btqRB4+a4uLkz+Ncx6OrqcWjfLqXpdwRtoFyFyvzYoQvOrm781Ks/nt5+7Nq2WSHd24hw5s2YzKgJU9HQ/HaTITIyMti8cR1du/eiRs3aeHp5M+H3qbx9G8Hpk8dzPW/j+rU0a9GKJs1a4ObuwYjfxqGrq8ve3TvlaVr80JqA0mWxs7fHx9efPv0GEh72hjevX6kklsJWr+3fsZHaDZpRs34THJzd6D5wBNo6upw6sldpeg9vfzr0GEjlmvXQyqPDRF1dExMzC/nLyNhERRFk2rdtA3UaNqdWgyY4urjRc9BIdHRyr9c8fPzp1OtnqtTKPZaylapRukIV7BycsHN0JrBrX3T19LkfkvMP/fwWemo37hXr4VbhO4xtnSjbpi+a2jo8Pn8s13Ok0nTOr51BsYaBGJgrLkCvrVeEWv1+xymgKkbWDli4+lC6VS8kLx7yThKRyxXzx9Fzdxm/aD97T+U9SvKj7j9U4emrKH6dtYvQJ+EsCfqLXSeC6R+YOaNgQPtarN75N+v3XuDe4zD6T9pCUvJ7OjXLub5Vfrt2ZCdFq9fHv2o9zO2dqdNpAJraOtz+64jS9I6+JfAoXRlzOydMrOwIqNscS0c3Xt+/I09zbvsaXIqXo1qbblg5e2BiZYd7qYroG5moPJ4Gvhaceijhr8fRvI5NYfXFl6SkZ1DdwyzXczKA2OQ0+SsuOfML/qRUKdNOPObi81jexKXwKDKRdZdf4Wauj7m+8jZEfjq5J4hKdRtTsfb32Dq68mPvX9DW0eH8if1K03cePI5qDVvg4OaFjYMzgX1/JSNDSujNKwrpYqLesm35bDoPHouGxrf5DG1c1JrjoZGcehDFy5hklp57TkqalNpeeXw+ZGQQk5Qmf8Um5xx8kZaumObd+2/TOVTY2p+FqX0jj2dDtngmfUY869bSrGWWeEaPQ1dPSTxlPsTj50+f/qqP579IXa3gXv8FomNSQCKRcOTIEfr06YOenp7Cz2xsbAgMDCQoKIiMjAz58ZkzZ1KmTBmuX79Onz596N27N6GhoZ98r19++YWZM2dy+fJlLC0tady4MampqQBcvXqV1q1b8+OPP3Lr1i3GjRvH6NGjFXrkU1NTmThxIjdu3GD37t08ffqUzp0753ifX3/9lalTpxISEkLx4sX55Zdf+PPPP9mzZw9Hjx7l9OnTXLt2Lc+8BgYG4uDgwOXLl7l69Sq//vqrvBPq0aNH1K9fn5YtW3Lz5k2CgoI4e/Ys/fr1U7jGjBkzKFGiBNevX2f06NEEBgayZcsWhd9lUFAQdnZ2VK2qOP0PZIvNNmjQgHPnzrFhwwbu3r3L1KlT0dDQ+Ef5yE+pqancDw0hoGwF+TF1dXUCypbn7u0bSs+5e/sGAWXLKxwrU74SIR/SS6VSLv79Fw6Ozvz6cy9aNaxO/67tOPfnSZXF8VFqaiqPQkMoUTozf+rq6pQoXZ7Qu5/3h9a/RWpqKo/uh1A8eywB5Qm9k3+xJL6LB8DAyDjfrqlMamoqD0JDCCijeK+VKluBu7eVxxNy+yalstybAKXLVyIkl/TRkigu/X2Geo2b51/Gc5Gamsr9e3cpXS77s1OBO7dyeXZu3aB0tnjKVqikkF4qlTJl3EjatO+Cq5uHajKfi1evXhIVGUm58pkdBgaGhhQtVpxbN5XHlJr6nnshdyhfIfMcdXV1ylWoyM2bwUrPSUpMZO+endjbO2CtZFfAr1XY6rW01FQe379HsQDFuqBYQDnuf2W9Fvb6OT3b1Kdfh6bMm/IbkRFhX5vdPMnqtXsUL11OfkxdXZ3ipctx/27+dCKmp6dz9uQRkpOT8PYr/ukTvua90lKRvHiIjXdJ+TE1dXWsvUsS+fRerufdObQFXUNj3CvW/az3SU1KBDU1tPVUP8rwnyhfwpVTFxXbi8f+DqF8cdmIOy1NDUr5OnIyS5qMjAxOXgylXHHVjspLT0sl/OkDnPwC5MfU1NVx8i/Fm0ef7gjJyMjg+d3rSN68wN5bNn01Qyrlyc1LmNrYs3PGSJb0b83mCQN4ePVvlcXxkYa6Gq5m+tx5E5+ZR+DOm3g8LHKfmaOrqc6cZr7Mbe7LoOou2Bvr5Pk+eloaSDMySExVbQdYWmoqLx6F4l28rPyYuro63iXK8CT0dh5nZnr/Ppn09DT0DYzkx6RSKevmTKB2s3bYOn2bqaea6mq4m+tz83Wc/FgGcPN1PF6WuT+zuloaLGldlKWtizG8tjuOJro50vjbGLCqbXHmtfSnR0UnDHQ0VBGCgsLW/oTC0775SB5PBSXx3PiH8ZSvyM0bwUrPSUpMZO9u1ccjFD5ijUmBBw8ekJGRga+vr9Kf+/r6Eh0dzdu3b7Gykk0RbNiwIX369AFg+PDhzJ49m1OnTuHtnff6SGPHjuW7774DYO3atTg4OLBr1y5at27NrFmzqF27NqNHjwbAy8uLu3fv8scff8g7H3/66Sf5tdzc3Jg3bx5ly5YlISEBA4PMD/IJEybI3ychIYGVK1eyYcMGateurfDeeXn+/Dm//PILPj6ydYU8PT3lP5syZQqBgYHyzXM8PT2ZN28e1atXZ/HixejqyhoKtWrVYsiQIfLzWrduzc8//ywf5QiwadMm2rZtq3Rh2uPHj3Pp0iVCQkLw8vKSx/1P85FVSkpKjiH7KSmgo5N3w/Oj2JhopOnpOUb8mJqZ8+KZ8uki0VGROabTmZqZI4mKBCAmWkJSYiJB61fSuUd/uvX5mSsXzjF+xCD+WLCSEgFlPitvXyIuNhqpNB0TM8XRAyam5rx8/lRl76sK8bExslhMFWMxNjXLt1ikUikrF8zAt2hJnF1V2wkW9+FeU3bv5HWvmZpmS29qTvSHey27Ywf3oqevT5XqtfMn03nI69l5nks8kqhIpemzxrN53So0NDRo2SYw++kqFxUpy0f2dYjNzC2Iisw5VQ4gJjqG9PR0zHKcY87TJ4q/h21Bm5g3eyZJSYk4u7iycOnKPEfzfanCV68prwtMTM14/eLpF1/X06cofYaOw87RmeioSLZvWM6YQd2YuTwIPX3VrI2cWa8p/q6NTc159ZX12rPHDxjZrwvv379HV0+PYeNn4Oii2o6JlHdxZEil6GYbLadraEJ8+Eul57x9dIdHF47SYPi8z3qP9NT3BO9djXPpamjp/buWhrE2NyJcEq9wLEISh7GhHro6Wpga6aOpqUFE9jRRcXi7WKs0b0nxsrLRzzYKWN/IlOg3L3I9LyXxHcsHtSM9LRU1NXVqdeyPc9HSACTGxZCanMTlA0FUbtmZKq268vTWFfYtmECr4dNx8FFdR7ihjgYa6mo5RtXFJqdhm0tn45u4FJaff8HzmCT0tTRo6GfJ2Hqe/Lo/FEliao70Wupq/FjKlvNPY0hKlaokjo8S4mV1gaGJYr1mZGxG+Mvnn3WNPWsXY2xqgU+JzPr32M4NqKtrUKNRq3zNb14MdTTRUFfLsS5nbFIq9ko6GwFexSaz8OxTnkmS0NfWoGlRayY18uHnnXfkZXP9ZRwXnsYQkZCCjaEO7Urb81tdT0buv4c0Q+ll80Vha39C4WnffJRnPEqWNoB/GM+WbPEsU208/0X/cA+a/ztixKQgl3UU36cUL57ZkFJTU8PGxkY+pbpBgwYYGBhgYGCAv7/iOkhZt5k3MzPD29ubkBDZ2jUhISFUrqy46HzlypV58OCBfI2Kq1ev0rhxY5ycnDA0NKR69eqArBMxqzJlMhscjx494v379wprI3x877wMHjyYbt26UadOHaZOncqjR5nrTt24cYM1a9bI4zQwMKBevXpIpVKeZKmos+YDZOtH1q1bl40bNwLw5MkTzp8/T2Cg8g6F4OBgHBwc5J2S2X1uPrKaMmUKxsbGCq9Fc6bn+btQNalU1pitWLUmLdt2wMPLhx87dqV85Wrs3721QPMmKFo2dyrPnjxiyJgpBZ2VfHFk/25q1WuI9md2zP/bhIbcYUfQBoaP+f0f77r3JQ4d2EfVCqXlr7S0nH+o5qcGDRuzMWgHy1atw8nZhV9/GZTnWkj/JoWxXitVrjIVq9fB2c2TkmUrMmLSXN4lxHP+z9ynIP+b2Tm6MGP5ZqYuWku9Jj+wYNpYXjx9XNDZUpCanMj5dbMo92N/dAw+PUpImp7GuVVTIQPKtu77DXIoaOvq0X7CItqOmU/llp35a/NSXoTIRiB9bFu7B1QkoF4LrJzdKdeoDW4lynPz1IGCzLZSDyMTOfskmufRydyLeMfcP58Sn5JGLc+c04s11KB/NWfU1GDNJeWd6v8mR3es5+rZ43QfMQUtbdln/vOH9zi9fxvtB476Jp+hX+P+23f8+VDCU0kSd8MSmH7iEXHJqdT1sZSnOfckmisvYnkencyl57FMOf4QT8si+NsYFmDO84eq25+FrX1z6MA+qpYvLX+pPJ7vG7Nxa5Z4hv532mvCv4MYMSng4eGBmpoaISEhNG+eczpjSEgIpqamWFpmfvBlX1dPTU1N/kfYihUrSPqwKHFu6+99iXfv3lGvXj3q1avHxo0bsbS05Pnz59SrVy/HxjL5sav1uHHjaNeuHQcOHODQoUOMHTuWLVu20Lx5cxISEujZsycDBgzIcZ6TU+ZuhsryERgYyIABA5g/fz6bNm2iWLFiFCumfNfX7FPrs/vcfGQ1YsQIBg8erHAs/B8sSWlsYoq6hkaODSGiJVGYmitfvNrU3CLHZiXRkijMPqQ3NjFFQ0MTZ1d3xRhc3Lh94zqqZGRsirq6BjHZNniKiY76JuvA5SdDYxNZLNkWGo+NluRLLMvmTuXy+TNMnrsCC0vVjlwBMPpwrym7d3JbKN3U3ILo6Gzpo5Xfm7eCr/Hy+VNGTvw2HfN5PTtmuZSPmblFns/areBrxERLaNM0c3qnND2dxfNmsD1oA1t2K18X7UtVq1FLYSfGj3VvVFSUwqY7kqhIvLyVj8I3MTVBQ0NDYeF02TlRmFsolpOBoSEGhoY4ObtQrHgJalapwKmTx6nf4Pv8CgkojPWa8rogJlqSY+Th1yhiYIidgzNhr1XXKZFZryn+rmOjozD5yk0qtLS0sLV3BMDdy5eHoXc5sHMzvQaP+sSZX06niBFq6uokZ9tMJTk+Bl0j0xzpEyLDeCcJ569lE+THPnZ2bRnYhO9/W4qhpWyH94+dku8kEdQaMPlfN1oSIDwqDmszxU4SKzMjYuOTSE5JJTI6gbS0dKyypzE3IiwqDlXSM5SVTWJsjMLxxLho9I1zls1HaurqmFjbA2Dl7I7kzQsuHwjC0bcEeoZGqGtoYG7nrHCOmZ0jr7KsQ6kK8SnppEszMM62mYqxriaxn7mDdnoGPJUkYW2oOPJJQw36V3XBvIg2U449UvloSQADQ1ldEB+jWK/FxUowMs19zUyA47s3cWzHBvpNmIO9S+Zou0d3b5AQG82Ybi3lx6TSdHauWcCpfVuZsHxH/gbxQXxKGunSDEz0spWNnhYxSkamKpOeAU+ikrA1yv2L1fD498QmpWJjpMOtN/G5pvtahaH9WdjaNwUaT4kS1KxcgVMnjlO/Yf621/7L1P/lX34UNDFiUsDc3JzvvvuORYsWyTsUPwoLC2Pjxo20adPms79JtLe3x8PDAw8PD5ydFRtiFy5ckP9/dHQ09+/fl08h9/X15dy5cwrpz507h5eXFxoaGty7d4+oqCimTp1K1apV8fHxUdj4Jjfu7u5oaWlx8eLFHO/9KV5eXgwaNIijR4/SokULVq9eDUBAQAB3796Vx5n1pf2J3VabNm1KcnIyhw8fZtOmTbmOlgTZyNSXL1/mmtcvyYeOjg5GRkYKr8+dxg2yP+S8vH25fiXz9ymVSrl+5SJ+RUsoPcevaAmF9ADXLl3A90N6LS0tvH39eZFtuser58+wtrH97Lx9CS0tLdy9fbl5TTGem1cvqXytsfympaWFu5cvN69dkh+TSqXcvHYJb/8vjyUjI4Nlc6dy4ewpJs5airWtfX5k95O0tLTw9Pbl+lXFsgm+chG/osrj8S1anGCl91rO9Ef278LTxw93z7xHT+cXLS0tvHz8uHZZMZ5rly/gXyyXZ6dYCa5li+fqpfPy9N81bMzKjTtYsX6b/GVhaUWb9p2ZPndJvsdQpEgRHJ2c5S83dw/MLSy4fDGzbk9ISOD2rZsUK648Ji0tbXx8/bmU5RypVMrlixcoXrxkru+dkQEZZJCa7Yuo/FDY6jVNLS3cvHy4fV2xLrh9/TJe+VivJSclEvbm5Vd3EOZFVq/5cOvaZfkxWb12GS8/5V/qfakMqZTU1Py/v7LS0NTCzNGDsPuZa3plSKWE37+BhYtPjvRG1g40GLGA+sPnyV/2Rctj7VmM+sPnoW8q+91/7JSMf/uamv0moVPEKMe1/g0u3nhCjXKKdW7tCj5cvCmb5ZGals71kBfULJ+ZRk1NjZrlvLh0U7W7C2toamHt4smLu5lfHGRIpby4G4ytu99nXycjQ0r6h/XTNTS1sHb1QvJGsfM+OuwVRhZWyk7PN+nSDJ5IEhVGy6khW4PwYWTiZ11DTQ0cTXQVphx/7JS0NtJm6vFHJHyjzVU0tbRwdPdW2LhGKpVy/+ZVXD+s6anMsZ0bObx1DX3GzsTZQ7EDpmyN+oyYs45fZ6+Rv4zNLKjTrB19x81SWSxp0gweRSVSzC7zOVUDitsZcv9twmddQ10NnE31iM6jI9NMXwtDXc080+SHwtD+LGztm38UT4kviKfEZ8Sj4s9ToXARHZMCAAsWLCAlJYV69erx119/8eLFCw4fPsx3332Hvb09kyZNypf3mTBhAidOnOD27dt07twZCwsLmjVrBsCQIUM4ceIEEydO5P79+6xdu5YFCxYwdOhQQDYCUFtbm/nz5/P48WP27t3LxIkTP/meBgYGdO3alV9++YWTJ0/K31tdPffbPykpiX79+nH69GmePXvGuXPnuHz5srwTdfjw4fz999/069eP4OBgHjx4wJ49ez5r05kiRYrQrFkzRo8eTUhICG3bts01bfXq1alWrRotW7bk2LFjPHnyhEOHDnH48OGvzsfXaNm2Iwf37uDogT08e/qYedN/Jzk5iXqNmgEwbfxIVi6aK0/fvHUgly/8zbZNa3n+9AnrVizi/r07NP3hR3maVoGd+fP4YQ7u2c6rF8/ZvW0z58/9SZOWbVQaC0DTVu05un8XJw/v5cWzxyyZPZnk5CTqNGgKwOzJv7FuWebaXqmpqTx+EMrjB6GkpqUSFRnB4wehvMmyxlFSYqI8DUB42CsePwjlbfgbFccSyLH9uzh5eJ9CLLXrNwFgzuTRrF8+XzGWh6E8fhhKWloqksgIHj8M5c2rzFiWzpnK6WMHGTxqMnr6+kRLIomWRJKSkqzSWABa/NiBQ3t3cuzgXp4/fcz8P2T3Wt0P99r0CaNYtTjzXmvWOpArF/5m+4d7bf2KxTy4d4emLX9UuO67dwn8dfIo9b/BpjdZtWrbkf17dnD4wB6ePXnM7GkTSU5Oov6HeCaPG8nyhXPk6Vu2ac+l8+fYunEtz58+Zs3yRYSG3KF5K1m9YWxsgqu7p8JLQ1MTMzMLnJxVu1EEyDoM2gZ2ZOXyJfx5+iQPH9xn7G+/YmlpRY1adeTpenfvQtDmjfJ/B3boxO6d29i/dzdPHj9iyu/jSUpKonEzWXm8fPmC1SuXEXL3DmFvXnMj+DrDh/6Mro4OlatUU0ksha1ea9QykBMHd3P66H5ePnvCinlTSElOoka9xgAsmDaGTSsXyNOnpaby9GEoTx+GkpaaiiTyLU8fhhL2KnNtvXVL53D3xlUiwl4TeucGf4wbirq6OlVq1lNpLI1btef4gV2cOrKPl8+esGyOLJZaH+q1eVPGsCFbvfbkYShPPtRrUZERPHkYypsssWxYPp87N64REfaaZ48ffPj3VarVbqDSWAC8azbj0d9HeHzxBLFhL7i8dRFpKcm4VpA9M+fXzSR47xoANLS0MbFzUXhp6xVBU0cfEzsXNDS1kKancXblFCTPH1Kx41AyMqQkxUWTFBdNuoqn7xXR06a4lz3FvWQdBi725hT3ssfRRjbCcEL/JqyY2EGefvn2s7g6mDNpYFO8XKzp0aoqLb8rxfyNp+Rp5m04SZfmlQhsXB5vV2vmjWyDvp4O6/ZcQNUC6rXg1p+HuHP2GFGvn3Ni3XxSU5LxryoblX542XTOblslT39p/xae3b5KTMQbol4/5+qh7YT8fQKfSrXkaco0aMX9S39y6/RBYsJfEXx8D4+DL1CiVmOVx3MoJJIanmZUdTPFzkiHLuUd0NFU589HspFtPSs50rpk5gYVzYpZU9TWAEsDbVzM9OhT2QmLItqceigbMaWhBgOqueBqrsfis89RV1PDWFcTY13ZmomqVqtpG/4+to8LJw8S9uIpQUtmkJKcTIXaslFZ6+ZMZM/6xfL0x3Zu4MCm5QT2G4G5lS1x0VHERUeRkiTrmDUwMsbO2U3hpaGhiZGJGdb2zkrzkF/23Q6njpcFNTzMsDfWpUclJ3Q01Tl5X/a77l/NhcDSdvL0rUraUsLOEGtDbVzN9RhY3RULA22O35etHairqU7HsvZ4WhbB0kCbYraG/FrHnbC4FIJfqXa0MRS+9mdhat/I42nfkZXLlvDnqZM8vH+fsaOUxNMtWzwdO7F7xzb278kjnhXZ4hmi+niEwkdM5RYA2aYpV65cYezYsbRu3RqJRIKNjQ3NmjVj7NixmJnlPUXic02dOpWBAwfy4MEDSpYsyb59++Qj+wICAti6dStjxoxh4sSJ2NraMmHCBPnGN5aWlqxZs4aRI0cyb948AgICmDFjBk2aNPnk+/7xxx8kJCTQuHFjDA0NGTJkCLGxsbmm19DQICoqio4dOxIeHo6FhQUtWrRg/PjxgGwk459//smoUaOoWrUqGRkZuLu706bN5/2xGRgYSMOGDalWrVquU64/2rFjB0OHDqVt27a8e/cODw8Ppk6dmi/5+FI16tQnJjqatSsWER0VibunN5NnL5ZP14gID0MtS8evf/GSjBg/lTXL5rN6yTzsHZ0YN20uru6ZGwpVqVGbgcNGs3ndShbOmoaDswtjJ8+iaImAHO+f36rWqkdcTDSbVi8mWhKFq4c3Y6cvlG9sERkehrpaZjySyLcM6p7Z+bA7aB27g9ZRtERpJs1dAcDD0Lv8Nqi7PM2qhTMBqFWvMQNHZE7Jy29VatUjNjaazWs+xOLuzdhpC+SxvI1QLBtJ1FsGd8/sHN8dtJ7dQevxL1GaSXOWA3B47zYAhXgA+g8fJ29wqkqNOvWJjYlm3fJFREsicfP0ZtKsRfJ77W14mMKXDP7FSvLr+CmsXbaANUvnY+fgxNipc3DJcq8B/HnsMGRAze9U3wmRVa3v6hMbI2HNsoVIoiJx9/Jh2pwl8um/EeFvUM/yx13R4iX5beJUVi1ZwIrFc7F3dGbidMVnp6B16tKN5KQkJk8YS3x8HCVLBTBv0TKFkdgvXz4nJiZa/u+69RsSHR3NkkXziIqUTSOav2gZ5h9+DzraOly/doXNG9YRFxeHubk5pUqXYeW6zTkWYc8vha1eq1SjLnEx0Wxdu4SY6Chc3L0YOXm+fCp3ZEQYamqKdcGw3pkj+PdtW8++bevxKx7AuJnLZGkiw5k7eRTx8bEYGZviU7QEk+atwcgk92mu+aFyzbrExkSzZbUsFld3L36bNj+zjo4IQy3LcxMd9ZahPdrJ/71363r2bpXVaxNmy2KJjYlm/tQxREsi0S9igLObJ6OnLaBEmQqomnPpaqQkxHLrwAaS46MxtXejRp8J6H2Yyp0Y/VahbD4lMSaKV7dko3cPT1Nc2qXWgMlYe6pu9H+AnzNHVwyU/3v6UNmU2PV7L9Bj7AZsLIxwtMlsQz57HUXz/kuYPrQFfdvV4FV4DL0nbOL4+RB5mu1Hr2FhasCY3t9jbW7IzdBXNO27MMeGOKrgXb4GSfGxnN+1jsTYaCyd3Gg+ZBJFPkzljo9SLJvUlGROrl9AvCQSTW1tzGwdqd9jGN7la8jTeJSuTO1OA7h8YAunNi7GzMaBxv1GY++V+yi//HLxWQxGOhq0LG6DsZ4mz6KTmH7yCXEfNsSxKKJN1iXmi2hr0K28I8Z6mrx7n85TSRLjjzzkdaxsrThTfS1KO8rWOp3cSHHk66RjDwn5J2sDfYHSVeqQEBvDgc0riI+WYO/qSd+xMzH6sCGO5G24wgyvM4d2kZaWysrpvylcp0Gbn/i+bVeV5vVT/n4SjbGuJj8G2GGip8UTSRK/H30g36xIVjaZhVNEW4PeVZwx0dMiISWdx1GJjNp/j5cxsk46aUYGzqZ61PAwR19bg+jEVG68jmPz1dekqXLnmw8KW/sTCk/7Js94FiuJJ/oT8Sz+d8TzX/MNvrv5T1PL+Cc7ngiCUCg9lxSexYkTU77NlKJvpbBV0Xo6GgWdhXyjrVG4Jh0Y6hau7ypVPXXtW4pOKFzToTQ0ClfrfPsd1Y6E/5amDZ/76UT/IbMXDS3oLOSrs49y/1L9v6ZT6W+zLMy3suT8s4LOQr76vX7OpSX+qxzM8l6z/z+ncH2EYqhTuNrTuZl3VrXLkeRlQBXVz6L6WoXrrxBBEARBEARBEARBEARB+JcQe9/k7f+je1oQBEEQBEEQBEEQBEEQhH8V0TEpCIIgCIIgCIIgCIIgCMI3J6ZyC4IgCIIgCIIgCIIgCIIKqBe2xUHzmRgxKQiCIAiCIAiCIAiCIAjCNydGTAqCIAiCIAiCIAiCIAiCCojNb/ImRkwKgiAIgiAIgiAIgiAIgvDNiRGTgiAIgiAIgiAIgiAIgqAC6mLEZJ7EiElBEARBEARBEARBEARBEL450TEpCIIgCIIgCIIgCIIgCMI3J6ZyC4IgCIIgCIIgCIIgCIIKqIvdb/IkOiYFQUCzEC16kSaVFnQW8lVqWkZBZyFfWRjqFHQW8o3k3fuCzkK+0tXSKOgs5CstjcJTr2lpFq4JLoXpMwfAz6pIQWch38xeNLSgs5CvBvWZUdBZyFfT5g8p6CzkG6sihac9AFDD26ygs5CvNDUKz+dOcmrh+tugsDHUKTz3mvDlRMekIAiCIAiCIAiCIAiCIKiAGDCZN9E9LQiCIAiCIAiCIAiCIAjCNyc6JgVBEARBEARBEARBEARB+ObEVG5BEARBEARBEARBEARBUAGx+U3exIhJQRAEQRAEQRAEQRAEQRC+OTFiUhAEQRAEQRAEQRAEQRBUQAyYzJsYMSkIgiAIgiAIgiAIgiAIwjcnRkwKgiAIgiAIgiAIgiAIggqIEYF5E78fQRAEQRAEQRAEQRAEQRC+OdExKQiCIAiCIAiCIAiCIAjCNyc6JgXhX2bcuHGULFmyoLMhCIIgCIIgCIIgCMJXUlNTK7DXf4FYY1IAoHPnzsTExLB79+6Czsr/vaFDh9K/f/+CzsYn7dq2maCNa5BEReLu6c2AISPw9S+Wa/rTJ46waukCwt68xsHRiR59B1GhcjWlaWdNncC+Xdvo+/MwfmjbQVUhKDi0eyt7gtYRI4nCxd2Trv2H4elbVGna508esWXNEh7fD+Ft+Bu69BlCox/aKaQ5vGcbR/Zt523YGwAcXdxo1aE7AeUrqzyWI3u3sm/bemIlUTi5edKl7y94+CiP5cXTR2xbt4THD+4RGf6Gjr0G07BFuxzpJJERbFoxn+DLf5OSkoyNnQO9ho7F3ctP1eGwY+smNq9fLb/XBv0yEr+ixXNNf/L4EVYsnk/Ym1c4ODrTu/9gKlbJvNf+PHmM3Tu2EnrvDnGxsazeuB1Pb1+Vx/HRgV1B7NqylmhJFK7uXvQYOByvPO61jasW8eh+CBFhb+jabyhNWwUqpLl94yq7Nq/j0f27SKIiGfn7LCpUrfktQgEgIyOD5UsWsHfXNuLj4yleohTDRo7B0cklz/O2B21i47pVSKIi8fDyZvCwUfhnKdfdO7Zy9PABQu/dJfHdO47+eQFDQyOVxrJr22a2bJDVax6e3gwY+ol67fgRVmap13r2U6zXVi9bxMljh3gbHo6mliZePn506z0gz/s3Px3cFcRueb3mRbcBw/K81zavXsyjD/XaT32H0PgHxXttx8ZVXDhzkpfPn6Kto4OPfwk69hiA/SfKOj8c2BXEzizPTc88nptn2Z6bbkqem396zfx28cguzu4LIiFGgo2zO993GYCDh/J66M7Fv/hr90YkYa9IT0/H3Maeyo1aU7JaXXmajIwMTm5bzZUTB0h+l4CTd1GadBuEua3DN4kn+Pherh7azrtYCZZObtRs3wcbNx+laR9cOcul/VuIDX9Nenoaptb2BNRviV/lOgrpol4/5+zWlbwMvYk0PR1ze2ca9RuNkbmVyuKoHODOoI51CPBzwtbSmNaDlrHv9M08z6la2pNpQ1rg527Dy7AYpq44zIZ9FxXS9GxdjUGdamNtbsSt+68YPG0bV+48U1kcWd06uZfrh7eTGBuNuaMb1dr1wdrNW2naR1fPcvVAELERr5Gmp2FsbU+pui3wrpRZNgu71ld6bsVWXQmo30olMWR1eI+sjRMjicLZ3ZOfPtHGCVq7hCcP7vE2/A2deg/m+2xtnK3rlrJ9/XKFY3aOzsxZtUNlMXx080Rm2Vg4ulEtMO+yubI/s2xMrO0pWa8FPlnKZsFPysumUquuBDRQfdns37klR53q7af8M/TZk4dsXLmYh/fvEhH2hu79htK0dfuvumZ+K0ztz8IUi1A4iRGTwr/G+/fvCzoLKvW58RkYGGBubq7i3Hydk8cOs3juH3Tq2otla7fi7uHFsIE9iZZEKU1/+2YwE0cPp2HjFixft40q1WoxethAnjx6kCPtmdMnuHv7JhaWqvvDI7tzp46yZvEsWnfswR9LN+Ls7sXE4f2IjZYoTf8+JRlrW3vad++PiZnysjK3tKZ9t/5MX7KB6YvXU7RUWaaNHszzJ49UGQp/nz7K+qWz+aF9d6Ys2oCzmxdTRvbPMxYrGwfa/dQv11gS4uMYM6grGpqa/DppLjOXb6V9j0EUMVBtJxHAiaOHWDB7Ol2692Hlhm2yDqz+ud9rt25cZ/yoX2jUtAWrNm6nao1ajBjan8cPM++1pKQkipcsRe/+g1We/+zOnDzCyoUz+bFTT2Yv34SLuxdjh/YhJpfySUmWdQJ37DEAUzML5WmSknD18KLnzyNUmfVcbVi7km2bNzBs5FhWrt2Cnp4eP/ftQUpKSq7nHD9yiHmzptG1Rx/WbNqOp6cPg/r2QJKlXJOTk6lQqQqdfurxLcLg5LHDLJrzB5279WL5uq24e3rxy4C867UJo4fzfZMWrFi/jSrVa/HbLwN5nKVec3RyZuAvI1m1eQfzl63DxtaeX/r3zLW889PZk0dYvXgWbTr1YOayTbi4ezJhWN/c77WUZKzt7OmQx71258ZVGjRrzbSFaxn3x2LS09IYP6wPyUlJqgyFMyePsGLhTNp26smc5ZtwdfdizGc8N53yiOWfXjM/3fr7JIfWLaZmy070nroMG2d31k4eRkJstNL0+gZGVG/enu4TF9Jv+goCatRn1+JpPAi+lBnP3i1cOLSTJt0G0XPSIrR1dVk7eRip36BtFXrxNH9tWUaFZoEEjl+IhaMbO2eMIjEuRml63SKGlG/cljaj59Dh9yX4Va3L0ZUzeXrrijxNTMRrtk4ajKmtI61+/YMOvy+hfJN2aGppqzSWIno63Lr/ip+nBH1Wemc7c3bN78VfV+5T/sepLNh0isVj2lGnYuYf6D/UDWDakOZMWnqIiu2mcfP+K/Yu6oulqYGqwpB7cOlPzgYtp2yT9rQeuwALRzf2zc67bMo0+pGWI2fz4/jF+Fauy4nVs3h+O7NsOs/apPCq1WUwqKnhXrqKyuP5+/RR1n1o40xbLGvjTBqRexsnJSUZa1sH2nXNvY0Dsi+PlwUdlr8mzF6pqhDkspZNm7ELMHd0Y++s3MtG50PZ/DBqNm0nLMa3Sl1OrJrFsyxl02X2JoXXtyybv058qFM792Tuis24enxOPW1Pp54Dc62n/+k181Nhan8Wplj+y9QK8PVfIDomhc9y+/ZtGjRogIGBAdbW1nTo0IHIyEj5z+Pj4wkMDKRIkSLY2toye/ZsatSowc8//5zrNT9OWV6xYgWurq7o6uoC8Pz5c5o2bYqBgQFGRka0bt2a8PBwhXMXL16Mu7s72traeHt7s379eoWfq6mpsXTpUho1aoS+vj6+vr6cP3+ehw8fUqNGDYoUKUKlSpV49Cj3TqL379/Tr18/bG1t0dXVxdnZmSlTpsh/HhMTQ7du3bC0tMTIyIhatWpx48aNPONbtmwZdnZ2SKVShfdq2rQpP/30k8J5Wa1atQp/f390dHSwtbWlX79+n50PVdi2eR3fN21Jg8bNcXFzZ/CvY9DV1ePQvl1K0+8I2kC5CpX5sUMXnF3d+KlXfzy9/di1bbNCurcR4cybMZlRE6aiofntBnTv27aBOg2bU6tBExxd3Og5aCQ6OrqcOLRHaXoPH3869fqZKrXqoZXLH0llK1WjdIUq2Dk4YefoTGDXvujq6XM/5JYqQ+HAjo3UatCMGvWa4ODsRreBI9DW0eX0kb1K07t7+9O+x0Aq1ayX6x98e7euxdzSmt5Dx+LhUxQrW3tKlKmAjZ3qR+Js2biWxs1+4PsmzXF18+CXEWPR1dVl/96dStNv27KB8hWr0K7jT7i4utO99wC8fPzYsXWTPE3975vQpXsfypSrqPL8Z7dn6wbqNmpBnYZNcXJxp8+QUejo6nL84G6l6T19/enSexDVatdHS1tLaZrSFarQvltfKlarpcKcK5eRkUHQpnV07taTajVq4+HlzZgJU4l8G8Ffp0/ket7mjWto0rwVjZq2wNXNg2GjxqKjq8v+PZnl+mNgRzp26U7RYiW+RShs27SO75vlrNcO5lavbVGs17r26o+njx+7tmbWa3Xqf0+ZchWxs3fE1d2Dvj//wrt3CTx6cF/l8ezdtpHvvm9O7QZNcXRxo9dg2b2WW73m6eNP516DqFqrHppayu+1MdMXUqt+E5xc3XH18KL/r+N5Gx7Go/t3VRkKu7duoJ6S5+ZYLs+Nl68/P33iufmn18xPfx/YRpna3xNQswFWDi407jYYLW1drp06pDS9q39J/MpVxcrBGTMbeyo2/AFrJ3eehd4GZM/h+YPbqd6iA75lq2Dj7E7LviOIj44k5PJZlcdz7chOilavj3/VepjbO1On0wA0tXW4/dcRpekdfUvgUboy5nZOmFjZEVC3OZaObry+f0ee5tz2NbgUL0e1Nt2wcvbAxMoO91IV0TcyUWksR8/dZfyi/ew9lfcoyY+6/1CFp6+i+HXWLkKfhLMk6C92nQimf2DmqPUB7WuxeuffrN97gXuPw+g/aQtJye/p1Ez1n0HBR3fiX60+vlXqYmbnTI0O/dHU1iHkrPKysfcpgVtAZczsnDC2sqPEd80wd3DlzYPMsilibKbwenL9PPbeJTC2tFV5PPt3bKR2g2bUrC9r43T/0MY5lUsbx8Pbnw49BlK5Zu7tNQB1dU1MzCzkLyNjExVFkCn4iKxs/KrWxczemZodP5TNGeVl4+BTAvfSimVj4eDKm/t5lE3weRx8SmBspfqy2b11PfUateC7hs1wcnGn75DfZHXqgd1K03v5FuWnPoOpnmc9/c+umZ8KU/uzMMUiFF6iY1L4pJiYGGrVqkWpUqW4cuUKhw8fJjw8nNatW8vTDB48mHPnzrF3716OHTvGmTNnuHbt2iev/fDhQ3bs2MHOnTsJDg5GKpXStGlTJBIJf/75J8eOHePx48e0adNGfs6uXbsYOHAgQ4YM4fbt2/Ts2ZMuXbpw6tQphWtPnDiRjh07EhwcjI+PD+3ataNnz56MGDGCK1eukJGRodDBl928efPYu3cvW7duJTQ0lI0bN+Li4iL/eatWrYiIiODQoUNcvXqVgIAAateujUSS+S1e9vhatWpFVFSUQl4lEgmHDx8mMDDnNDOQdcL27duXHj16cOvWLfbu3YuHh8c/ykd+Sk1N5f69u5QuV0F+TF1dnYCyFbhzS3mH6N1bNyhdtoLCsbIVKimkl0qlTBk3kjbtu+Dq5pH9EiqTmprKo/v3KF66nPyYuro6xUuX4/7d/OlETE9P5+zJIyQnJ+Htp7opnGmpqTx5cI9ipcrLj6mrq1OsVDnuh3zeH1nKXD3/F26evsyeOJwerb7j197tOHFQeWdNfkpNfc/9e3cpUz6z0aOurk6ZchW4c1P5vXb7ZjBlyinea+UrVub2rWBVZvWzpKam8vB+CCVLK5ZPidLluXfny8unIL1+9ZKoyEjKZikjA0ND/IoW5/bNYKXnpKa+JzTkLmXLK9YhZctXzPUcVUtNTSX03l2FekpdXZ3SZStwN5d67c6tGwr1IEC5CpVyTZ+amsq+3dspYmCIu5fyqXr5RVavhVAi271WPKA8ofl4ryW+iwfAwMg4366Z3cfnJnssJUt/eSyquObnSktL5fXj+7gVK63w3u7FAniRpfMnNxkZGTy6dZXINy9w8ZV9nkRHvCEhRoJ7lmvq6hvg4OH7Wdf8GulpqYQ/fYCTX4D8mJq6Ok7+pXjz6NMd1hkZGTy/ex3JmxfYe8um42ZIpTy5eQlTG3t2zhjJkv6t2TxhAA+v/q2yOL5U+RKunLoYqnDs2N8hlC/uCoCWpgalfB05mSVNRkYGJy+GUu5DGlVJT0vl7bMHOPiWkh9TU1fHwa8UYY9CPnl+RkYGL+5eJybsJXZeyqfOJsZG8+zWJfyq1su3fOcmLTWVx/fvUSwgWxsnoBz3737dcxv2+jk929SnX4emzJvyG5ERYV+b3Tylp6US8ewBjn5fVzbRYS+x886jbG5ewvcblI28fVMmZ536pe0bVVzz89+78LQ/C1MsQuEm1pgUPmnBggWUKlWKyZMny4+tWrUKR0dH7t+/j62tLWvXrmXTpk3Url0bgNWrVzNebgMAAQAASURBVGNnZ/fJa79//55169ZhaWkJwLFjx7h16xZPnjzB0dERgHXr1uHv78/ly5cpW7YsM2bMoHPnzvTp0weQdYpeuHCBGTNmULNm5jfUXbp0kXeeDh8+nIoVKzJ69Gjq1ZN9QA8cOJAuXbrkmrfnz5/j6elJlSpVUFNTw9nZWf6zs2fPcunSJSIiItDR0QFgxowZ7N69m+3bt9OjRw+l8QE0aNBA4Xe1fft2LCwsFPKe1e+//86QIUMYOHCg/FjZsmX/UT6ySklJyTHFMiVFTX7+p8TGRCNNT8c025QYUzNznj97ovQcSVSk0vTRUZmjbjevW4WGhgYt2yjvoFWV+NgYpNJ0TEwV82dsas6r50+/6trPHj9gZL8uvH//Hl09PYaNn4Gji9tXXTMvcXGyWIxNzRSOG5ua8erF0y++bsSbVxzfv4OGLQNp1rYLj0LvsmbRDDQ1tahet9FX5jp3sTExpKenY5bt3jEzM+fZ0392r0milE9X+ZbiYmXPjkm28jHJh3utoER9eIbNsk3DMjM3JyrLqPqsYuTlmu0cM3OePX2smox+wsd6Lfu99ql6TVl6iUQx7r/P/MmE334hJTkZcwtLZi5YhomJaf4GkM3Hei17XWBiapZv95pUKmXlghn4FC2Js6vqvkz6+NyYKnluXn5hLKq45udKjItFKpViYKx4DxgYmxL5+nmu5yUnJvBHr1akpaWirq5Oo64/41G8DAAJMRL5NbIqYmwq/5mqJMXHkSGVop9thJm+kSnRb17kel5K4juWD2pHeloqamrq1OrYH+eiso7VxLgYUpOTuHwgiMotO1OlVVee3rrCvgUTaDV8Og4+32aN1s9hbW5EuCRe4ViEJA5jQz10dbQwNdJHU1ODiOxpouLwdrFWad6SP5ZNtlGm+kYmnyybNUMDkX4om2rt++HoH6A07b2/j6Olo4dbadWvnx0nb6/lrNdef0Ubx9OnKH2GjsPO0ZnoqEi2b1jOmEHdmLk8CD39Il+Za+U+Pjd6Ssom5lNlMyRQ/txU79APp7zKRlcP929SNh/bN4qfiSZmX19P5+c1P1dhan8Wplj+69T/I5vQFBTRMSl80o0bNzh16hQGBjnXwnn06BFJSUmkpqZSrlzmiDNjY2O8vT89IsTZ2Vmh0y4kJARHR0d5pySAn58fJiYmhISEULZsWUJCQnJ0uFWuXJm5c+cqHCtePLPham0ta/wVK1ZM4VhycjJxcXEYGeVcK69z58589913eHt7U79+fRo1akTdunXlv5OEhIQca0EmJSUpTA/PHh9AYGAg3bt3Z9GiRejo6LBx40Z+/PFH1NVzDmCOiIjg9evX8k7M7D43H1lNmTKF8ePHKxwbPPw3hvw6Wmn6byE05A47gjawbN3W/8zOYZ/DztGFGcs3k/gugfN/HmfBtLFMmL1cpZ2TqiDNkOLm5Ufbn/oC4Orhw8unjzh+YIdKOyaFf58jB/cxbdI4+b9nzFtScJn5jyhVpiwrNmwnNiaaA7t3MG7EUBav3pij0f9fs2zuVJ4/ecTk+asKOiv/F7R19ekzfQXvk5N4fOsah9ctwszKDlf/kgWdtS+iratH+wmLeJ+czIu71/lr81KMLW1w9C1BRkYGAO4BFQmo1wIAK2d33jy8y81TB/5VHZOFkbauHm3GLiI1JYmXIcGcC1qGsaUN9j45l9UIOXsErwq1VL72pyqVKpfZcefs5omnb1H6BDbi/J/HqNWgWcFlTAltXT3ajPtQNneDObtlGUaWNjgoKZu7Z/77ZSMIwv8P0TEpfFJCQgKNGzdm2rRpOX5ma2vLw4cPv/jaRYqo5ptIAK0sa2R97OxSdiz7eo8fBQQE8OTJEw4dOsTx48dp3bo1derUYfv27SQkJGBra8vp06dznGdiYiL/f2XxNW7cmIyMDA4cOEDZsmU5c+YMs2fPVpoHPT29PGP83HxkNWLECAYPVlyoOCrp8zsDjU1MUdfQyLFgcrQkKse3cR+ZmVsoTW9qLhsxdSv4GjHREto0zdxhVJqezuJ5M9getIEtu5Wvt5MfDI1NUFfXICZaMX+x0VGY5LIY9+fS0tLC1l7Wye7u5cvD0Lsc2LmZXoNHfdV1c2NkJIsl+yLwsdGSPBd9/xRTMwscnBSnnNk5uXLx7MkvvubnMDYxQUNDQ2FDFACJJApzc+Vlk9u9ZvYv2FDKyFj27GRftD0mOuqryudbqlK9lsIujqmpso01JJJILLJ8CSOJisLLW/mOvCbyclUcWZhXuarax3ot+72W171jZm6hPH22ekNPTx8HRyccHJ3wL1aCwJbfc3DvLgI7d8vfILL4WK9lrwtivrIu+GjZ3KlcOX+GSXNXYGGp2lFfH5+baCXPzZd27qrimp9L38gYdXX1HBvdJMRGY2BilstZsql35jb2ANi6ePD21TP+2r0RV/+S8vMSYqMxzDK66F1sNDYuql0aRc/QCDV1dRJjYxSOJ8ZFo2+c+8hgNXV1TKxl8Vg5uyN584LLB4Jw9C2BnqER6hoamNs5K5xjZufIq/uqnZr+T4VHxWFtZqhwzMrMiNj4JJJTUomMTiAtLR2r7GnMjQiLilNp3nQ/lk22zVQS42I+o2xks54sndyJfvOcqweDcnRMvr5/m5iwl9TrNTLf866Mkby9pqReM82/57aIgSF2Ds6EvX6Zb9fM7uNzk5QfZXMgKEfH5Meyqf/NyuZj+0bxMzFGEpXrxjYFcc3PVZjan4Uplv+6wjP0RjXEGpPCJwUEBHDnzh1cXFzw8PBQeBUpUgQ3Nze0tLS4fPmy/JzY2Fju3//ni/v7+vry4sULXrzInMZw9+5dYmJi8PPzk6c5d+6cwnnnzp2T/zw/GRkZ0aZNG5YvX05QUBA7duxAIpEQEBBAWFgYmpqaOX4nFhZ5f1jq6urSokULNm7cyObNm/H29iYgQPk0DENDQ1xcXDhxQvkmEl+SDx0dHYyMjBRenzuNG2SdbV4+fly7fFF+TCqVcu3yBfxz2aTCr1gJrl25qHDs6qXz8vTfNWzMyo07WLF+m/xlYWlFm/admT5XtSOytLS0cPfy4da1zPtXKpVy89plvPyUr9vzpTKkUnlHjipoamnh6unD7Sw7tUqlUm4HX8bL98tHmHj5l+D1y2cKx968fIaFtWoXU9fS0sbLx4+rly7Ij0mlUq5evoh/ceX3WtHiJbly+YLCscsXz1O0WElVZvWzaGlp4eHly42ris/OzWuX8PH/b4wAKlKkCI5OzvKXq5sH5hYWXMlSRu8SErh7+yZFi5dUeg0tLW28ff0UzpFKpVy5dCHXc1RNS0sLbyX12tUrF/DLpV7zL1ZCIT3AlYvnc03/UYZUynsV75Qsq9d8uXlNsS64de0S3l9xr2VkZLBs7lQunj3FhFlLsba1z4/s5unjc3Mz23Nz4ytiUcU1P5emphZ2bl48vpW5DrdUKuXx7Ws4evp/9nUyMqSkpaUCYGpli4GJmcI1kxPf8fJhyD+65pfQ0NTC2sWTF3evZ+ZNKuXF3WBs3T+/XZaRISU9NTXzmq5eSN4odgxFh73CyMIqfzKeTy7eeEKNcoozhGpX8OHiTdkUydS0dK6HvKBm+cw0ampq1CznxaWbyqdR5hcNTS0snT15GRIsP5YhlfIyJBgbd9/cT8wmQ5pB+od7LauQM4exdPbEwvHbzALR1NLCzcuH29eztXGuX8YrH9fvTk5KJOzNy6/+cjovGppaWDl78uJryyZDednc/Vg2Tt+mbDLbN4plc+Mr2jequObnv3fhaX8WpliEwk2MmBTkYmNjCQ4OVjhmbm5O3759Wb58OW3btmXYsGGYmZnx8OFDtmzZwooVKzA0NKRTp0788ssvmJmZYWVlxdixY1FXV//H03Lr1KlDsWLFCAwMZM6cOaSlpdGnTx+qV69OmTKytZR++eUXWrduTalSpahTpw779u1j586dHD9+PL9+FQDMmjULW1tbSpUqhbq6Otu2bcPGxgYTExPq1KlDxYoVadasGdOnT8fLy4vXr19z4MABmjdvLs9rbgIDA2nUqBF37tyhffv2eaYdN24cvXr1wsrKigYNGhAfH8+5c+fo37//V+fjS7Vq25GpE0bh5euPr18xtm9ZT3JyEvUbNQNg8riRWFpa0b3vzwC0bNOen3t1YevGtVSoXJWTxw4TGnKHISPGAmBsbIJxtvWpNDQ1MTOzwMlZtYvDAzRu1Z75U8fi7u2Lp09R9u/YREpyErXqNwFg3pQxmFlY0r57f0C2IPfLZ7K18NLSUomKjODJw1B09fTlIyQ3LJ9PqXKVsbS2ISnxHWdOHObOjauMnrZApbF83zKQxX+Mw83TDw8ffw7ulMVSvV5jABZOH4OZuRVtu8o2fkpLTeXlc1ks6ampSCLf8vRRKLq6+th8iOX7Fu0Y8/NP7Nq8iorVvuNh6B1OHtxF959VM/Izqx8DOzFp3Eh8/Pzx9S/G1k3rSUpK4vvGzQGYOGYEllZW9Oo3CIBWP7anX4/ObN6whkpVqnH8yCHu3b3NsJHj5NeMi40hPOwNkW/fAvD82VNA9g2xuYXi0gv5rWnr9syZMgYPHz+8fIqyd/smkpOSqN2gKQCzJ/2GmaUVnXoMAGT32osP6y6mpaYiiYzg8YNQdPX0sHNwAiApMZE3rzK/zAl/84rHD0IxNDLCUsWdx2pqarRp15E1K5bi6OSMrZ0DyxfPw8LSimo1Mpeg6NezC9Vr1qHVj7I1ZNsGdmbi2BH4+BXF378YWzatIzkpiUZNmsvPiYp8S1RUJC9fyNbde/TgPvpFimBtY5ujvsgPrdp1ZMr4UXj7yu617VvWk5yURIOP9drYkVhYWdHjY732Y3sG9uxC0Md67eiHem2krF5LSkpkw+rlVKpaA3MLS2Jjotm9fQtv30ZQo3bdXHKRf5q0CmTe1LG4e/nh6evP/u2bSE5OovaHem3u5NGYWVrR4ZP1mh629rJ7bdmcqfx14hAjfp+Nnr4+0R9GveoXMUBHR1dlsTRr3Z7ZWZ6bPR+emzofnptZk37DPI/nJkrJc/Opa6pSpe9bsXPRVOzdvbB39+X8we28T0kmoEZ9ALYvmIyRmSV123UH4M9dG7F398bM2o601FQeXL9I8JljNO4qq/fU1NSo2PAHTu9aj5mtPaZWtpwIWoWhqQW+ZauoPJ6Aei04snwGVq5e2Lh5c/3oLlJTkvGvKrvPDy+bjoGpBVVa/QTApf1bsHbxxNjKjvS0VJ7euETI3yeo1bG//JplGrTiwKLJOHgXxdG3BE9vXeFx8AVa/fqHSmMpoqeNu2Pm54CLvTnFveyJjkvkRVg0E/o3wc7KmG6j1wOwfPtZev1YjUkDm7J2zwVqlPWi5XelaD4g80vVeRtOsnxCB67efc6V20/p164m+no6rNtzIcf757eSdVtwYuUMrFw8sXL15sbxXaSlJONbWVY2x1f8QRFTcyq2lJXN1QNbsHLxwsjKlvTUVJ7dusz9Cyeo3l5xs8j3Se94eOUMldvkXMtclRq1DGTh9HG4efnh4e3PwV2yNk6ND22cBdPGYGZhRbusbZxnWT9D3/L0Q3vtYxtn3dI5lKlQFQtrW6Kj3rJ13VLU1dWpUlO1m8aUrNeC4ytkZWPt6s2NYx/KpoqsbI4tl5VNpR9kZXPlQ9kYW9qSnpbKs5uXCT1/guodlJTN5TNU+cZl06x1B2ZPGY2ntx9evkXZs22jrE5tKKtTZ076DXMLKzr3zFpPy5adSktN+1BP30NXTz9LPZ33NVWpMLU/C1Ms/2WFaLUylRAdk4Lc6dOnKVWqlMKxrl27smLFCs6dO8fw4cOpW7cuKSkpODs7U79+ffm6iLNmzaJXr140atQIIyMjhg0bxosXL9DV/Wd/qKipqbFnzx769+9PtWrVUFdXp379+syfP1+eplmzZsydO5cZM2YwcOBAXF1dWb16NTVq1Pjq30FWhoaGTJ8+nQcPHqChoUHZsmU5ePCgPOaDBw8yatQounTpwtu3b7GxsaFatWry9SzzUqtWLczMzAgNDaVdu3Z5pu3UqRPJycnMnj2boUOHYmFhwQ8//ADIfl9fk48vVeu7+sTGSFizbCGSqEjcvXyYNmcJZh+mBESEv0FdPbP2LVq8JL9NnMqqJQtYsXgu9o7OTJw+F1d3T5Xl8Z+oXLMusTHRbFm9hJjoKFzdvfht2nz5lMfIiDDUssQTHfWWoT0yy23v1vXs3boe/xKlmTB7GSDbTGP+1DFESyLRL2KAs5sno6ctoEQZxV3u8lulGnWJi41m2zpZLM5uXvw6ab58mlNkRBhqapmD5SVRb/m1d+aGQ/u3r2f/9vX4Fg9g7AxZLO7e/gweO4Mtqxawc8MKLG3s6Nh7CFVqN1BpLAC16zYgJlrCiiULkERF4uHlw8z5S+X3WniY4r1WrEQpxk6azvJF81i2cA4Ojs5MmTEfN4/Me+3sX6eYPP43+b/HjhwKQJfufejas69K46laqx6xMdFsWrWYaEkUbh7ejPtjoXz66NuIMNSyrDcriXzLz91+lP9715Z17NqyjqIlSzN57goAHobeZdTP3eVpVi6cCUCt+o35ecQElcYD0L5TV5KSkpj6+1gS4uMpXjKA2QuWKYzEfvXyBbExmVNX69RrQHS0hBWL5xMVFYmntw+zF2SWK8Cu7UGsXLZI/u/e3ToC8Nu4SXyfpQMzv9T6rj4x0RJWf6jXPLx8mD43s14LD3+jUA8ULV6S0ROnsnLJAlYsktVrv/8xF7cP9Zq6ugbPnz7hyIG9xMZEY2Rsgo+fP/OXrcXVXbXTawGq1KpHXGw0W9bI7jVXd2/GTFsgr9ey32vRUW8Z3L2t/N97gtazJ0hWr/0+ZzkAh/duA2D0oO5k1X/4OPkXOarw8bnZmOW5Gf+J52ZgLs/NlA/PzaeuqUrFKtXiXVwsJ7auISFGgq2LOx1HTJNPyY6NilBYdzo1JZl9K+cQF/UWLW0dLOyd+KHfSIpVqiVPU7XJj6SmJLF32UySExNw8i5GxxHT0NJW/fpy3uVrkBQfy/ld60iMjcbSyY3mQyZR5MOU1PiotwqfO6kpyZxcv4B4SSSa2tqY2TpSv8cwvMvXkKfxKF2Z2p0GcPnAFk5tXIyZjQON+43G3quoSmMJ8HPm6IrMzQanD20JwPq9F+gxdgM2FkY42mROuX/2Oorm/ZcwfWgL+rarwavwGHpP2MTx85k7K28/eg0LUwPG9P4ea3NDboa+omnfhTk2xFEFz3LVSYqP5eLu9STGRWPh6EajQb/LpwvHSyIUBhGkpiTz54YFJERHoqmljamtI3W6DcOzXHWF6z649OeH69dQeQxZVapRl7iYaLaulbVxXNy9GDk57zbOsCxtnH3b1rNv23r8igcwbqasjSOJDGfu5FHEx8diZGyKT9ESTJq3BiMVb1L2sWwu7V7Pu9hoLB3daJy9bLJ85qSlJPPn+g9lo62NqY0j33XPWTb3L34omyzP07dQrbasTt2wajHRkkjcPLyZMGNRZj0d/kZh8w9JZAQDumbW0zu3rGPnh3p66ryVn3VNVSpM7c/CFItQeKllfFxhWhDy0bt377C3t2fmzJl07dq1oLMjfMLrGNVOK/yWJO8KTywAqWmFq4p2MMt73dT/ksJ2r1kafv6SDv8FKWnpBZ2FfBP9LudUvf8yTfXCNWwgOCymoLOQbyRJhateG9RnRkFnIV9Nmz+koLOQb6o7Fcyawqry14vITyf6D6nvYVPQWcg3Jvpan04kFBhLw/+PsXKbrqlu3dpPaRfgUGDv/bn+P+4CQeWuX7/OvXv3KFeuHLGxsUyYIBul07Sp6ofaC4IgCIIgCIIgCIIg/Bv90yXu/t+Ijkkh38yYMYPQ0FC0tbUpXbo0Z86c+eRGMIIgCIIgCIIgCIIgCML/J9ExKeSLUqVKcfXq1YLOhiAIgiAIgiAIgiAIwr+G+qeT/F8Tvx9BEARBEARBEARBEARBEL450TEpCIIgCIIgCIIgCIIgCMI3J6ZyC4IgCIIgCIIgCIIgCIIKiM1v8iZGTAqCIAiCIAiCIAiCIAiC8M2JEZOCIAiCIAiCIAiCIAiCoAJivGTexIhJQRAEQRAEQRAEQRAEQRC+OTFiUhAEQRAEQRAEQRAEQRBUQKwxmTcxYlIQBEEQBEEQBEEQBEEQhG9OjJgUBAGTIloFnYV88z5dWtBZyFdJKekFnYV89S4lraCzkG8MdQvXR2gGGQWdhXyVUYjC0dEqXN8jqxeyUQMv45ILOgv55trz+ILOQr6aNn9IQWchXw3vP7Ogs5BvDmweX9BZyFdB518WdBbyVX0Pm4LOQr7RUC9cnzmF7CNUEADRMSkIgiAIgiAIgiAIgiAIKlG4vmLOf+L3IwiCIAiCIAiCIAiCIAjCNydGTAqCIAiCIAiCIAiCIAiCCojNb/ImRkwKgiAIgiAIgiAIgiAIgvDNiY5JQRAEQRAEQRAEQRAEQRC+OTGVWxAEQRAEQRAEQRAEQRBUQEzkzpsYMSkIgiAIgiAIgiAIgiAIwjcnRkwKgiAIgiAIgiAIgiAIggqIvW/yJkZMCoIgCIIgCIIgCIIgCILwzYkRk4IgCIIgCIIgCIIgCIKgAupilck8iRGTwv+VNWvWYGJiUiDvffr0adTU1IiJiVGal3HjxlGyZMkCyZsgCIIgCIIgCIIgCMK3JkZM/p/o3Lkza9eulf/bzMyMsmXLMn36dIoXL16AORM+Gjp0KP379y/obHy2jIwMFi+cz67t24iPj6NEqQBGjh6Ls7NLnucFbd7I2tUriYqMxMvbh+Ejf6Noscx7sFvnDly9clnhnJat2vDb2PGqCENu744tbN+4FokkEjcPL/oM/hUfv2K5pv/r5FHWLltIeNhr7B2c6NrnZ8pVqqqQ5vnTx6xcNIeb16+Snp6Gs4s7oyfPxMrGVqWxHNwVxK6gdcRIonBx96L7gGF4+RZVmvb5k0dsWr2YR/dDeBv+hp/6DqHJD4EKabZvXMWFMyd5+fwpOjo6ePuXoFOPAdg7uag0jo/27tjC9k1ZymbQZ5TN8ixl01uxbOpVLqH0vG59BtEqsHN+Zz+HXds2E7RxDZKoSNw9vRkwZAS+/rnHc/rEEVYtXUDYm9c4ODrRo+8gKlSupjTtrKkT2LdrG31/HsYPbTuoKgS5HUGb2LhuNZKoSDy8vBk8bCR+RXP/TDl57AjLFs8n7PUrHJyc6TNgMJWqZMaSkZHBiiUL2LtrO/Hx8RQvUYpfRo7B0clZ5bFA4SobgH07trBj81qiJVG4unvRe9BwvPN4ds6cPMr6FYsID3uNnYMTP/UeSNmKmc9OUmIiq5fM5fyZU8THxmJtZ0+TH9ryfbNWKo/lYz0QnaUeyCuWv04eZV2WeuCnbPVA/Vzqga7fqB64fWofN45sJyk2GnNHNyq37Y2Vq7fStI+vneP6wSDiIl4jTU/D2Mqe4nVb4FWxtjxNanISF3eu5un1v0l+F4+hhTXFajXFr8b3Ko8FoI6XOd/7WWGsp8nz6CTWXX7F46gkpWmrupnSs5KTwrH36VJ+2nwLAA01+KGkLSXtDLE01CbpvZTbYfEEXX9DTFKaymO5dXIv1w9vJ/FD2VRr1wdrN+Vl8+jqWa4eCCL2Y9lY21Oqbgu8K9WRp1nYtb7Scyu26kpAfdU+O5UD3BnUsQ4Bfk7YWhrTetAy9p2+mec5VUt7Mm1IC/zcbXgZFsPUFYfZsO+iQpqerasxqFNtrM2NuHX/FYOnbePKnWeqDEXu9IEdHNu9kbhoCQ4uHrTpMRgXLz+lac8e3cOFU4d5/ewxAE7u3jTr0Esh/f7NK7hy5jjRkRFoaGrh5O5N0/Y9cfX2V3ksLUra0rasA2ZFtHn0NoHZJx4REpaQa3oDHQ16VHGhmqcFRrqahMclM/fUYy48iQagWQlbmpW0xdZIB4AnUYmsOf9c/nNV279zCzu3ZH7m9ByY+2fOsycP2bhyMQ/v3yUi7A3d+w2laev2X3XN/JaRkcHyJQvYu2ubvE0ybOQYHD/R/t0etImN61ZlaRuNwj9L2yglJYV5s6Zz/OhBUt+/p3zFKvwyYjRm5haqj2fxAvbs2kZCfDzFPsTj9Im/3bYHbWLD2sx4hgxXjGf3jq0cOXSA0Ht3SXz3jmN/XcDQ0EilsQiFjxgx+X+kfv36vHnzhjdv3nDixAk0NTVp1KhRQWdL+MDAwABzc/OCzsZnW7NqBZs3rmfkmHGs27QVPT09+vbsRkpKSq7nHDl0kJnTp9Kzd182bdvJ/9i767Cosv+B4++hQaVRROlGxRa7O9ZuXbu7u7s7MUGx23XtWNe1FVFETMRAFBhAFJD6/QEODMyg7jLyld957TPPs86ce+d8OPeeOXPmhJOzMwP79SYiPFwuXas2bTlz8bLsMXzUGJXGcvHsSTauXEznnv1Ys3U3dg7OTBoxgMiIcIXp/e/7Mm/aeBo2a8nabXuoXL0WM8YPJ+jZE1mat69fMbJ/dyytbVm0ehPrvfbTqUdftLS0VBrL3+dPsWXdUjp068vSjT7Y2DsyY+wgIqURCtPHx8dhblGE3/sOxchYcYPI/95tGrVox8I125m+aB1JiYlMHzuQuFjFXzpz0sWzJ9m4Kq1stqSVzcgBREqzKZvp42nYtCVrt+6hcrVazJgwnKDn6WWz6+g5ucfIiTOQSCRUrVlX4Tlz0vkzJ1m3YhHdevVn4/a92Ds4MXZYP6RKrrUHfr7MmjKOxs1a4em1j6rVazNl7DBeZLjWvrp88RwPH/hhalZQ1WEAcPbUn6xcupCefQey1WcfDo7OjBjUjwglsdy/d5dpE8fQrHkrtvnsp3rN2owfOYRnT9Nj2bF9M/t27WTMxGls2r4LHV1dRgzqm229klPyUtkAXDp3Cs/VS+jUox+rNu/CzsGJKSMHKq0LHt73ZcGMCdRv2oJVW3ZTqVotZk0YQdDzp7I0nqsWc/v6P4yZMocNOw/Som0n1i2bz7W/L6o2lrMn8Vy1mC49+7H6O+qBh/d9mT99PA2atmTN1j1UqlaLmZnqAZ+j5+QeP7MeeHrzElf3bqRss860nrIK46K2/LF8MrHRkQrT6+QrQJnG7WkxYSltpq3FuUo9Lm5byqsHt2Vp/tm7kVcPblG791jaz9xIibot+HvXWoJ8r6k8Hg9rQzqXteCQ3zsmn3hMsDSOcbXt0NdWPv7h85ckBu33lz2GHwqQvaaloYaNsS6H74cy5cQTlv8VRGF9bUbWtFV5LE9uXOLvPZ6U/60L7aatxtTSjmPLJvE5m7Ip17QDrScuo8OMdbhWqc+5rUsJfnBLlqb7Uh+5R+0eI0Eiwb5sVZXHk09Xm/uP3zB83p7vSm9tYcKhVf3569ZjPDrMZ7XPBdZN7UTdSq6yNG3ql2HBqJbM2fAnlTotwO/xG46uHYSZUX5VhSFz6/JZDmxZSZP2PZm4dCtFbR1YOX0E0ZGK67XH9+9SvlpdRsxexdiFGzA2LcjK6cOJDP8gS1PQwor2fUcxeaU3o+evw6RgYVZOH87HKNV25tV2NmVwTTu2Xg2ml/ddnr7/xNI2xTHU01SYXkNNwrK2JTA30GHK0QA6bbnFgtNPCYv5Ikvz4WM86/96QS/vu/Te4cud4EjmtXDD1kRPpbEA/HXuFJvWLKFj936s2LQLWwcnpo5W/pkTH5fa/uzWb5jS9uePnjOnpbZJdjB24jQ2b9+Nrq4uw7/RJkltGy2gV9+BbPPZj6OjCyMG9ZVrG61YMp8rly8wZ8Ey1np6EfbhPeNHD1N5PN7bNrN31w7GTZzGJq/vi+fMqT9ZsWQBvfsNZLvPfhydXBg+UD6euLg4KlWuSveefVUew69MIsm9x69AdEz+P6KtrY25uTnm5uaUKlWK8ePH8+rVKz58SP9wHjduHE5OTujp6WFnZ8eUKVNISEiQO8/s2bMpWLAgBQoUoHfv3owfP15uCnJiYiJDhw7F0NAQExMTxo0bR7du3WjRooUszcmTJ6lataosTdOmTXn27Jnc+/zzzz+UKlUKHR0dypUrx+HDh5FIJPj6+srSPHjwgEaNGpE/f34KFSpE165dCQsL++bf4tSpU7i6upI/f35Zh+1XN2/epF69epiammJgYECNGjW4c+eO3PESiYRNmzbRsmVL9PT0cHR05OjRo3JpTpw4gZOTE7q6utSqVYugoKBs85R5Knf37t1p0aIFixcvpnDhwpiYmDBo0CC58ggJCaFJkybo6upia2uLj48PNjY2LF++/Jt/g/8iJSUFH28v+vTtT63adXBydmbW3AV8eP+eC+fOKj1uh9c2WrVpS/OWrbG3d2DS1Bno6Ohw+NABuXQ6OrqYmprJHvnzq7axe3C3Nw1/a0WDpi2wtrVn6NjJaGvrcOr4YYXpD+/dSTmPyrTt3B0rGzu69R2Mg7MrRw7slqXZtmEVFSpVpfegETg4u2JR1JJK1WpiaKzazucj+3ZSv0lL6jRqjqWNHQNGTkJbR4dzfx5RmN7RpRjd+4+gWu0GaGgqbgxPW7iGOg1/w8rWHlsHJ4aOn8GH0Hc8e/xQlaEAcHCPNw2btaJBk7SyGfMvysbJlSP708vG2MRU7nH18kVKlilP4SJFVR7Pvl1eNGnemkbNWmJjZ8/I8VPR0dHlz2OHFKY/sGcHFSpWoUPXHljb2tGz/xAcnd04tG+XXLoP70NZuXguk2bOR13j50yG2L1zO7+1bEPT5i2xtXNg7KRpaOvocPzIQYXp9/rswKNSVTp364mNnT19Bw7F2cWNA3t8gNR6Za+PN91796N6zdo4ODkzdeY8wj6856+L51QeT14qG4BDu1PvnfpNWmBla8/gMZPR1tHhtJJ758g+H8p6VKZNp9R75/c+g7B3cuVYhnot4ME96jRqhnuZ8hQqXIRGzdtgZ+9E4MMHKo3laz1QP60eGPIv64Gj/yP1wP0zh3Ct1giXKvUxsrCmepchaGhp8+jKaYXpLZzdsS1TBaPCVhgUtKBE3RaYFLXl3VN/WZrQZwE4Va6LhbM7BUwL4Va9MSZF7Xj/IlDl8TRyNeXC0wj+ei7lbVQ8W6+/Jj4phRoOxkqPSQGi4hJlj+i49JGQsQnJLDj3nOvBUYREx/Ms7DNeN99gZ6KHiZJOm5zie/ogxao3xLVqfYwtrKnZNbVsAv4+pTB9EZeS2JWpgrFFatmUrJdaNiFP0ssmn4Gx3OPF3asUcS6JgZlqZ08AnL7ykBlrj3P0QvajJL/q06YqQW/CGb/0EIEvQlm/5y8OnfNlSOdasjRDu9Rm68F/8D56jUfP3zFkzm5i477QrUUlVYUhc+7IbqrU/43KdZtS2MqWjgPGoqWtzdWzxxWm7zlqOjUat8bSzgnzojZ0GTyBlORkHt1L7ziuUKM+rqXKY2ZeBAsrO9r0Gkrc50+8CXqm8Jw5pUO5Ihy7/44TD0IJCv/MojNPiUtIpmnxQgrTNylRCH0dDSYcfsj9t9G8i47H93UUTz98kqW58jyCay+kvI6M45U0lo1/vyT2SxJuhQuoNBaAw3u9adC0FfUat8DKxp5Bo1I/c878cVhheifX4vQcOJIadRqiqaX4vv7Rc+aklJQU9vh4pbVJ6qS1SeZ/s02ya+c2fmvZlqbNWylsG8V8/MixwwcYOnIc5SpUxMWtGJOmz+H+vbs88Lun8nh69OlH9Vp1cHRyZtqstHguZBPPjm00b5UWj70D4yZNQ0dHh+OH09t6HTr/zu89+1DMXfFMBEH4HqJj8v+pmJgYduzYgYODg9wovQIFCrBt2zYePnzIihUr8PT0ZNmyZbLXd+7cyZw5c1iwYAG3b9/GysqKdevWyZ17wYIF7Ny5k61bt3LlyhWio6M5fPiwXJpPnz4xcuRIbt26xblz51BTU6Nly5YkJycDEB0dTbNmzShRogR37txh1qxZjBs3Tu4ckZGR1K5dm9KlS3Pr1i1OnjxJaGgo7dq1yzb2z58/s3jxYry9vfnrr78IDg5m9OjRstc/fvxIt27d+Pvvv7l27RqOjo40btyYjx8/yp1nxowZtGvXDj8/Pxo3bkznzp2JiEj9Be/Vq1e0atWKZs2a4evrK+vA/VEXLlzg2bNnXLhwge3bt7Nt2za2bdsme/3333/n7du3XLx4kQMHDrBx40bev3//w+/zo968fk1Y2Ac8KlWWPVegQAGKu7vjd89X4TEJCV8IeOiPR8X0Y9TU1PCoWCnLMSf+OEatqhVp06IZK5ctIVaFI/MSEhJ4EhhAmXIV5fJVunxFHj5Q3JAPeOBH6fIV5Z4r61GZgLT0ycnJ3Lh6mSJW1kwc3p92jWsytHdn/rl0XmVxQGoszx4H4F7WQ/acmpoaJct4EOj/fV9KvsfnT6n3Qn59gxw7pyKysimfqWzKZVM2/n6ULqegbJTEL40I58Y/l2nQtGXOZVyJhIQEHj96SNkK8vGUKV8R//uKG6MP79+jbKZrrXzFynLpk5OTmTd9Iu279MDWzkE1mc8kIeELgQEPKeeR/kVUTU2N8h4VlTasH9z3pbyHfCwelarwwM8XgLdvXhMeFka5DGnyFyiAW3F3lTbWIW+VDaTG8/RxAKXKydcFpcp58EjJvfDogR+lM6QHKOtRiUcZ7jXX4iW5/vdFwj6EkpKSwr07N3nz6iVlKqiuQ+JrPVBaQT0Q8AvWA0mJCXx4+YQirqVkz0nU1CjqWorQZwHKD0yTkpLC64C7RL57TWGn9CU6Ctm78tL3Gp+kYaSkpPDm0T2iQt9QtFgZVYQho64mwdZYD/+Q9DZSCuAf8hEHU+WjtHQ01FjewpUVLV0ZUcOGIgba2b6PrqY6ySkpfE5IyqmsZ/G1bIq6lpY9J1FTo6hbad59Z9m8ephaNhZOiqeafo6S8vL+DdyqNcixfOckj5K2XLgu35l95p8APNxTR6tqaqhT2tWS8xnSpKSkcP56IBXcVTuiNTEhgeBngbiULCd7Tk1NDZeS5Xke+H0/jnyJjyMpKZF8SqaZJiYk8PepI+jmy09RW9XV2RpqEpwKFeDWy0jZcynAreBIilkozltVexMevP3IqDr2HB3ggVf3MnT1sERNyWgoNQnUcTZDR1Nd7v5UBaWfOWWVf+bkxjl/xNc2SfkM7Zz0NomvwmO+to0ytnVS20aVZMc8CvAnMTFR7rw2tnaYmxfmvpLz5gRl8RQr7q70fbOLR5V5zaskufjfr0CsMfn/yPHjx2Ujzz59+kThwoU5fvw4amrp/dOTJ0+W/b+NjQ2jR49m9+7djB07FoBVq1bRq1cvevToAcDUqVM5ffo0MTHp66GsWrWKCRMm0LJlagN/9erVnDhxQi4vrVu3lvv3li1bMDMz4+HDhxQvXhwfHx8kEgmenp7o6Ojg5ubGmzdv6NOnj+yY1atXU7p0aebOnSt3HktLSx4/foyTk5PCv0NCQgLr16/H3t4egMGDBzNz5kzZ67Vr15ZLv3HjRgwNDbl06ZLc1Pfu3bvTsWNHAObOncvKlSu5ceMGDRs2ZN26ddjb27NkyRIAnJ2duX//PgsWLFCYJ2WMjIxYvXo16urquLi40KRJE86dO0efPn149OgRZ8+e5ebNm5Qrl9pI27RpE46OjtmeMz4+PsuQ/SQ1LbS1s/9SkFFYWOooW+NMU89NTEwJVzJiVSqVkpSUpPCYoBcvZP9u1KQphS0sMDMryJPHj1mxbDEvg4JYsmLVd+fvR0RHSklOSsoyktHI2IRXL18oPEYaHoaRUab0RiZIw1Njj5RGEPv5M3u8t9C972B6DRzOrWtXmDlxJAtXb8K9dDlFp/3PPkZFkpychKGR/CgVAyNjXgcH5ch7JCcns3n1YlyLl8JahY12+EbZBGdTNgrSfy2bzM78eRRdPT2q1qij8PWcFJUWj6L8BSu51iK+I55dXltQV1endfvOmQ9XmcjIyNT7OVPejI1NeBmkOJbwsDCMMt3/RiYmhKct5RCRFpNxpildxiYmRHzHSPj/Ii+VDUB0lOJ4DI1NePUySOEx0ogwDDPVa4ZGJkgj0uMZMGI8KxfO5PeWDVBX10CiJmHY2KmUKFU2x2P4Slk9YPiNekBRemX1wNm0eqDKT6gH4mKiSUlORlffSO55XX0jIt+9Vnpc/OdP7BjbheTEBCQSNap2HkRRt/ROx6odB/CX90p2jO2Kmro6SCTU6DpMaQdZTimgrY66moSoOPm1H6PiEimspLMxJDoez6uvCI6MRU9TncZuZkxr4Mj444FEfE7Ikl5TTUKH0oW5GhRJbEKySuIAiPuYWjZ6+oZyz+vpGyINeaX0uPjPn9g2urOsbKp3GYylkg7hR/+cRVNbF7uyVXIy6zmmkIk+oRHynVjvI6IxKKCLjrYmRvp6aGio8z5zmvBonG0Uj/TLKTHRqW0cfUP5No6+oTGhr79vfctDXmsxMDaV69wEuH/zCpsXT+VLfBz6RiYMnbGc/Jmug5xkoKuJhpqEiE9f5J6P+PQFa2NdhcdYGOhQxkqHMwHvGXPQnyKGOoyq64CGmoStV4Nl6exM9VjfqRRaGmrEfkli4pGHBIV/VlkskP6Zk+UzxNjkX7c/VXHOHxGeTZtE2Xed9LZRpmOMTXgZ9Fx2Xk1NzSxrMBqZmMraQarwNc8K41HyvpFSxfEYmZgQlBaPIOQU0TH5/0itWrVkoxulUilr166lUaNG3LhxA2vr1I0F9uzZw8qVK3n27BkxMTEkJiair59ecQYGBjJw4EC581aoUIHz51NHgkVFRREaGkqFChVkr6urq1O2bFnZaEiAJ0+eMHXqVK5fv05YWJjsteDgYIoXL05gYCDu7u7o6OjIvU9G9+7d48KFCwqn+T579kxpx6Senp6sUxKgcOHCcqMMQ0NDmTx5MhcvXuT9+/ckJSXx+fNngoOD5c6TcdOgfPnyoa+vLztPQEAAHh7yI08qVfrxESXFihVDXV1dLq/376cuDh8YGIiGhgZlyqQ3fh0cHDAyMspynozmzZvHjBnyG8lMnDyVSVOnKz3mxPFjzJ4xTfbvlWvX/0gYP6R12/ay/3d0csbUzIx+vbrzKjgYSyurbI7835GSdj1XqlaLVh1SN7mwd3Lh4YN7/HFon8o6Jn+GjSvm8/LFM+at2pLbWckRp44fpnb9xmj9QMf8/5LAAH8O7NnBRq+9SH6VRWT+n8iLZXN0/y4e+d9n2vwVFDQvzIN7d1i7dB7GpmZZRpH/Sn6FekBLR5c2U9eQEBfLm0e+XN3rib5ZYSycU9siD84fJfT5IxoMnkYBk0KEPL7P3z5r0TM0oahb6W+c/ed6GvaZp2HpHSVPPnxi4W8u1HY0Yf+9d3Jp1SUwpLo1Eglsu6G84zY3aeno0n7aWhLiY3kd4MuVPRsxMDOniEvWaY0Bf5/CqWJtNDRVu960kNWp/V7cunyWEXPWoKklf687lSjDxOXbiYmO5Mrpo2xaOIWxizyzdILmJjUJRH7+wsLTT0hOgcDQGMzya9OxfFG5jsngiFh6eN0hv7YGNZ1MmdTImSF7/FTeOfmrO3XiGAvmTJf9e/FK1X3X+RlOnjjGgtnTZf9e8ovHI+R9omPy/5F8+fLh4JA+wmnTpk0YGBjg6enJ7NmzuXr1Kp07d2bGjBk0aNAAAwMDdu/eLRv1l5OaNWuGtbU1np6eWFhYkJycTPHixfny5cu3D04TExNDs2bNFI5CLFxY+bo9mpnW0ZNIJKSkpMj+3a1bN8LDw1mxYgXW1tZoa2tTqVKlLHlTdJ6Mna85QRXvMWHCBEaOHCn3XJJa9g3kGrVqUTxDR2xC2t8iIjwcswybOYSHh+Hs7JrleEgd/amurp5lo5vw8DBMTJXvQlcibcfuV69eqqRjUt/QCDV19Swb3UgjwpUuxm1kYoo006YLUmk4Rmm76ekbGqGuroG1jZ1cGktrW/xVOPWhgIEhamrqWRYFj5JGZBk59W9sXDGfm1cvM3fFJkzNVDsyAv5D2ShKr2Cnw/u+d3gdHMTEmQtzLtPZMEiLR1H+Mo88/Mr4G/Hc971DpDSC9s3ry15PTkpi3crF7N+zg92HFa+L9l8ZGhqm3s+Z8hYREa50V0kTU1Okme5/aXi4bDmRr8dFRIRhamaWfs7wcBydXXIy+1nkpbIB0DdQHE9kNuVjZGyaZTOZSGn6vRYfH8f2jauYPHcpFSqn7jxu6+DEsyeBHNzlpbKOSWX1QOQ36gGF6RXE/uAn1wM6+fWRqKkRGy2/sUZstDTLKMqMJGpqGBS0AMDUyp7IkFfcPbEHC2d3Er/Ec+PQduoPnIK1e+qPuCZFbQl/9Zx7pw+otGPyY3wSSckpGOjIf6Uw0NEg6jt30E5KgaCIWAoVkG+LqEtgSDUbTPJpMe/MM5WOlgTQKZBaNpk3uvkcHYmeQfZlY1gotWzMrOyRhgRz+8SeLB2Tbx8/IPLdaxr0n5jjec8poeHRFDKWX4+woLE+UR9jiYtPIEwaQ2JiEgUzpzHR5114tErzll8/tY2TeaOb6MgI9I2y70A8c8iHUwd3MGzGCoraZJ3toa2jS8HCRSlYuCh2zsWZ2r8d/5w9TsM2v+doDF9FxSaQmJyCcT75a944nxbhn7KOGgYI+5RAUnIyyelfWXgZ8RnT/FpoqElITHshMTmFN5FxQGrnpat5ftqWsWDRmaeKTpsjvn7mZPkMyaaezo1zZqdqjdq4ZdhpOiEh7buOgjaJk5I2SXrbSH4EYkREOCZpnz8mJqYkJCTw8WO03KhJaXhYju7KXa1Gbbmds7OLR1kby9BIcTypbTfV7iCeF+WR36hVRqwx+f+YRCJBTU1Ntn7fP//8g7W1NZMmTaJcuXI4Ojry8qX81AhnZ2du3rwp91zGfxsYGFCoUCG555KSkuQ2jwkPDycwMJDJkydTp04dXF1dkUrlG+hfpz5nnHKc+X3LlCmDv78/NjY2ODg4yD3y5cv3L/8qcOXKFYYOHUrjxo0pVqwY2tra37WhTkaurq7cuHFD7rlr13J2Z0xnZ2cSExO5e/eu7LmnT59m+Vtmpq2tjb6+vtzjW9O48+XLj5WVtexhZ++AqakZ169dlaWJiYnhgZ8f7iVLKTyHpqYWrm7FuH49/Zjk5GRuXL+m9BiAwEePADA1Vc1utpqamjg6u3L39nW5fPneui7XQMnItbg7vreuyz1358Y1XNPSa2pq4uRaLMtUkzevXlLQXHWL3WtqamLv5IrfnfRrLzk5Gb87N3AupjiW75GSksLGFfO59vcFZi3dQKHCRXIiu98kK5tbmcrmdjZlU8wd39uZyubmNVwVxH/q+CEcnd2wd3TO2YwroampiZOLG3duysdz5+Y1ipVQvGC4W4mS3Ml0rd2+cVWWvl7jZmzeeYBN3vtkD1OzgrTv0p2FK1T367imphbOrm7cvpFeryUnJ3PrxnWKK1n8vHiJUty6IV8P3rh+leLupQCwKFIUE1NTbt1Ij/dTTAwPH/gpPWdOyUtlA6nxODi5cu+2fF3ge/sGLkrqApfi7vjekv/cunvzGi5p91pSYiKJiYlIJPJNR3U1NZJTVNdh9LUe8FVQD7jmQD1wMq0esPtJ9YC6hiZm1o68CfCVPZeSnMybAF8K2Sv+YU+RlJRkkhJTOzCSkxJJTkrMMjJXoqYGKiwbgKTkFF5EfKaYeXpHlQQoZp5fblRkdiQSsDTUITJDR+bXTslC+lrMP/uMmC+qW1tS9p5pZfM6U9m8DvDF/EfKJjlFVjYZBVw+iZm1I6aWdgqO+t9w/d4LalaQvxfqVHThul/qsgkJiUncDXhFLY/0NBKJhFoVnLjhp3hphZyioamJlb0zgX7pu9EnJycT6HcLO+fiSo87fXAHJ/ZuZfC0pVg7fl85pqQkk5jw/YMlflRicgqPQz9S1spQ9pwEKGtliP9bxR28999EUcRQV261OEsjXcJi4mWdkopIJBI01VX7lV/ZZ869O8o/c3LjnNnJly8fllbWsoetnUNamyS93ZLeJimlJM+pbaNbWdpG12THuLgWQ0NDQy7Ny6AXvHsXQgkl583JeG5el4/H/4Gf0vf9Gk/GY5KTk7l541qO5lUQQHRM/r8SHx/Pu3fvePfuHQEBAQwZMkQ26hDA0dGR4OBgdu/ezbNnz1i5ciWHDsnvRjpkyBA2b97M9u3befLkCbNnz8bPz0+uMTxkyBDmzZvHkSNHCAwMZNiwYUilUlkaIyMjTExM2LhxI0+fPuX8+fNZRvB16tSJ5ORk+vbtS0BAAKdOnWLx4sUAsvMMGjSIiIgIOnbsyM2bN3n27BmnTp2iR48eJCX9+waso6Mj3t7eBAQEcP36dTp37oyuruL1XpTp378/T548YcyYMQQGBuLj4yO3aU1OcHFxoW7duvTt25cbN25w9+5d+vbti66ursqnDUokEjp1/Z1NG9dz8cJ5njwOZMrEcZgVLEitOnVl6fr16s5unx2yf3f5vTuH9u/j6JFDPH/2jLmzphMbG0vzFq0AeBUczMb1a3no/4C3b15z8cJ5pkwcR5ly5XByVt2XxlYduvLn0YOcOXGU4KDnrFo0m7i4WOo3bQHAwpmT2LJuhSx9i3aduXXtH/b7bCc46AXem9bx5JE/zVt3kKVp27kbl86d4sSRA7x5HcyR/bu4duUvmrXKfnOm/6p5286cOX6I8yeP8erlc9Yvm0tcXCx1Gv4GwPK5U/D2TF+vMyEhgedPA3n+NJDExAQiwt7z/GkgIW/SpwVtWD6fi2dOMHLSXHT19JBGhCGNCCM+Pk6lsQC0at+VP49lKJvFaWXTpAUAC2cpKZtd2wl++QLvzWll06aD3Hk/fYrhrwunadhM9ZtdZNS24+8cP3KAk38c4eWL5yxbMIu4uFgapl1rc6dPxHPNcln61u27cOPqFfbu3E5w0HO2ea4lMMCflm1T17c1MDDE1t5R7qGuoYGxsSlW1qrdiKBD524cPbSfE8cOE/T8GYvmziQuNpamv6X+TWdOmcC6Vembp7Xr1IVrV6/g472NoBfP2bR+DY8ePqB1+05Aar3SrlNXtm/awOVL53n25DEzp07A1Kwg1Wuqfu2/vFQ2AC07dOXksYOc/TP13lmzeA7xsbHUa9IcgMWzJrN1/UpZ+uZtO3H7+j8c3OXFq5cv2LF5HU8ePaRZWr2mly8/JUqVZcvaZfjducm7t284c+II504ep3L12grzkFO+VQ8sUlIPHNi1nVcZ6oHfFNQDl3OhHihRryWPLp8k8J8zSEOCubxzNQlf4nGuUg+A85sXc/3gVln6uyf28PrhHaI/hCANCebe6QM8uXYex4qpf3ct3XwUdirBtf2beRvoR/SHdwReOcPjq+ewKV1ZYR5y0p8BYdR0NKaanREW+tr08CiKtoYal56ljmzrV9mSdqXMZelblChE8cL5McuvhY2xLgOrWGGaT4sLT1NHRqlLYGh1G2xNdFn3dzBqEgkGOhoY6GigrmynjxxSqn4rHv71J4+unCHibTAXd6wiMT4O1yqpI5/PblrE1QPpS5nc/mM3r/zvEPUhhIi3wdw9dYDH187hXFH+nvgS+4mnty7jVr2hSvOfWT5dLdydiuDulPqDok0RE9ydimBpnjoCdOaQ39g0q6ssvef+v7EtasKcYc1xsilE37bVaF2vNKt2XpClWbnjPD1aVqZzMw+cbQuxcmJ79HS18TqSsz/AK1KneQf+Pn2Uq+dPEPIqiF3rFxEfF0eluqlrwG9bNpPDXumbcp464M2xnZ50HTIRk4KFiZKGEyUNJy42tdM8Pi6Ww97reR74gPD3Ibx8+givlXOIDA+jTBXV1mu7b72hmbs5DYsVxNpYl9H1HNDVVOOPB6EATG7kRL9qNrL0h++FoK+jwbDa9lga6VLJzoiuHpYcvBsiS9Ovmg0li+pjrq+Nnake/arZUNrSgNMBqt8Ys0W7rpw6fpBzfx7lVdBz1i6ZQ1xsLHUbp37mLJkzmW0b0j9zEhISeP7kEc+fPCIxIZHwsPc8f/KIt6+Dv/ucqiSRSGjf6Xe2pbVJnj55zMyp47O0SQb368G+3Ttl/+7YuTtHD+3nj7S20cK5M+TaRvkLFKBZi9asXLKA2zev8+ihP7OnT6K4eymV/gibMZ6/LqbGM2NKWjy1somnS1o8Rw/zIkM8TZqnf26Gh33gcWAAr9OWPXv25DGPAwOIiopUWTy/IjUkufb4FYip3P+PnDx5UjbFuUCBAri4uLBv3z5q1qwJwG+//caIESMYPHgw8fHxNGnShClTpjB9+nTZOTp37szz588ZPXo0cXFxtGvXju7du8uNDhw3bhzv3r3j999/R11dnb59+9KgQQPZWolqamrs3r2boUOHUrx4cZydnVm5cqUsHwD6+vocO3aMAQMGUKpUKUqUKMHUqVPp1KmTbN1JCwsLrly5wrhx46hfvz7x8fFYW1vTsGFDuQ19ftTmzZvp27cvZcqUwdLSkrlz58rt2v09rKysOHDgACNGjGDVqlVUqFCBuXPn0rNnz3+dL0W8vLzo1asX1atXx9zcnHnz5uHv7y+3NqeqdO/Zm9jYWGZPn8rHj9GUKlOWNes95UZfvnoVTGSGEZwNGjVGKo1g3epVhId9wNnFlTXrPWVTuTU1Nbl+7R98vLcTGxtLIfPC1KlXn979Bqg0lpp1GxIVKcXLcy3SiDDsHJ2Zs3StbPrzh9B3ctdUsRKlGD9jHts3rmbbhlVYFLVi2vzl2NinbzxUpUYdho6dzG6vLaxbtoCi1jZMmbOE4iVVu0Nq1doNiIqSsmvbOqQR4djaOzNtwWrZRhAf3r9LHUWTJiL8AyP7dJT9+/Aebw7v8aZYybLMWe4JwMmj+wCYPKIPGQ0ZN13W4akqsrLZlKFslmQqG0mmspmeqWzmLcfGTn5TqEtnT0IK1KrXSKX5z6x2vYZERUawbeMaIsLDsHdyYcHy9bLpO+9DQ1DL8MW7uHspJs+az5b1q9m0bgVFLK2ZtXAFtvbZb3L1M9Rt0IhIaQSe61YTER6Go7MLS1dvkMUS+k4+lhIlSzNjzkI2rl3JhtXLKWplzfylq7B3SI+lS7dexMXGsmD2dGI+fsS9VBmWrt7wQ5tz/Vt5qWwAatRpQHSkFO9N61LvHQdnZsrdO/LxuJUoxdhpc/HyXMO2jasoUtSKKfOWYZNhN/FxMxawbcNKFs2cyMfoaAqaF+b3voNp3KKtamNJqwe8M9QDszPE8j70ndxITrcSpRiXqR6Ymk09UPMn1wMO5WsQ9zGKW0d28Dk6AlNLexoPm4Ve2lTumIj3cj8wJsTHcXnnGj5Jw9DQ1MKwsCW1eo3BoXwNWZq6fcdz/eA2zm1aSPynjxQwKUiFFt1wq9FE5fFcfxmJvrY6rd3NMdDV4KU0loXnXxCdtiGOaT4tMqyYQz4tdXp7WGKgq8GnL0kERcQy49RT3kalzpIx0tOkrKUBAHObyv8oOefMUwJCP6ksFscKNYj9GMX1w958jpZiamlH0xGzZVO5Pyoom0s7VhOTVjZGhS2p23ssjhVqyJ33yY1LaeevqbK8K1LGzZrTm4bJ/r1wdOrmk95Hr9F32g7MTfWxNE+fBv3ybTgth6xn4ehWDOpUkzehkQyY6cPZq+m7ku8/fQdTo/xMHdCEQiYF8At8Q/NBa7JsiKMK5arVJSY6kuM+nkRLIyhq68iQaUtla0FGhIXKtXH+OnmIxMQEPBdMkjtPkw49adqxN2pqaoS+fsnG8yf4FB1FvgIGWDu6MGreWiysVDuy9XxgGIZ6mvSuYo2xnhZPP8Qwar8/0rQNoArpa8tN237/8Qsj9z9gaC07tnUrQ1hMPPvuvGXnjfSNmYz0NJncyBmTfFp8+pLIsw+fGLn/gdzu36pSvU4DoiKl7NiS4TNncabPnAz3TkTYe4b2Sv+x6OBuLw7u9qJ4qbLMX7n5u86pal269SI2Npb5s6fJ2iTLVm+Ua5O8ef2KqMj07zp1GzRCKo1g07pVhKe1jZZlaBsBDBs1HolEjQljhpHwJQGPSlUYM2GKyuPp2j21jZUxnuVr5ON5/eoVkRniqSdr62WIZ80GuancB/fvYfOGtbJ/9++VugTC5BlzZB2ygvAtkpSMi+sJwr9Qr149zM3N8fb2Vvh6cnIyrq6utGvXjlmzZv3r99m5cyc9evQgKirqh0cw/n/x+vVrLC0tOXv2LHXqfP8Io88JeacaeB8d/+1Ev5DYeNVPX/uZdLXUv53oF6GlkbcmHWhr5q144lW8Ht3PFJuQt+oBtTy20NKhh29zOws55k6w6juXfqYKNvrfTvQLGTck59d9zy1/7Jrx7US/kKnHH+Z2FnLU1q6/7kaNmZnkz1ubTeWxj1CM9PLOd4PsnPT/kGvv3bCY2bcT5TIxYlL4IZ8/f2b9+vWyEZC7du3i7NmznDlzRpbm5cuXnD59mho1ahAfH8/q1at58eIFnTp1+qH38vLyws7OjiJFinDv3j3GjRtHu3btRKdkBufPnycmJoYSJUoQEhLC2LFjsbGxoXr16rmdNUEQBEEQBEEQBEH4fy+vdSjnNNExKfwQiUTCiRMnmDNnDnFxcTg7O3PgwAHq1k1fV1BNTY1t27YxevRoUlJSKF68OGfPnsXV9fsXDgd49+4dU6dO5d27dxQuXJi2bdsyZ86cnA7pl5aQkMDEiRN5/vw5BQoUoHLlyuzcuTPLbt6CIAiCIAiCIAiCIAj/a0THpPBDdHV1OXv2bLZpLC0tuXLlyn9+r7FjxzJ27Nj/fJ68rEGDBjRo0CC3syEIgiAIgiAIgiAIggJixGT28taCUoIgCIIgCIIgCIIgCIIg/BLEiElBEARBEARBEARBEARBUAEJYshkdsSISUEQBEEQBEEQBEEQBEEQfjrRMSkIgiAIgiAIgiAIgiAIwk8npnILgiAIgiAIgiAIgiAIggqoiZnc2RIjJgVBEARBEARBEARBEARB+OnEiElBEARBEARBEARBEARBUAGx+U32xIhJQRAEQRAEQRAEQRAEQRB+OklKSkpKbmdCEITcFRL1JbezkGPiEpJzOws5SlM9b/1+FJeQlNtZyDEGepq5nYUcpaelnttZyFHvIuNyOws55kN0fG5nIUep5bGFlgro5J0JSK+jYnM7CzmqYD7t3M5Cjgr/nHfaa006TsvtLOSoP3bNyO0s5Ch97bzTxnE0z5/bWRCyYaCbt77rKHP+UXiuvXdtF5Nce+/vlXdaUoIgCIIgCIIgCIIgCILwP0SSt36TzXH/P7qnBUEQBEEQBEEQBEEQBEH4nyJGTAqCIAiCIAiCIAiCIAiCCojNb7InRkwKgiAIgiAIgiAIgiAIgvDTiRGTgiAIgiAIgiAIgiAIgqACeWzfvxwnRkwKgiAIgiAIgiAIgiAIgvDTiY5JQRAEQRAEQRAEQRAEQRB+OjGVWxAEQRAEQRAEQRAEQRBUQGx+kz0xYlIQBEEQBEEQBEEQBEEQhJ9OjJgUBEEQBEEQBEEQBEEQBBWQiAGT2RIjJoUcJ5FIOHz4sMrOHxQUhEQiwdfXN9fyoCrbtm3D0NAwt7MhCIIgCIIgCIIgCIKgcmLEpPBD3r17x5w5c/jjjz948+YNBQsWpFSpUgwfPpw6derkdvZkQkJCMDIyyu1s/LD27dvTuHHj3M7Gdzm0bxe7d2wjIjwMB0dnho6egGuxEkrTXzx7is0bVvMu5C1FLa3oN3gEFatUl72+deNazp/5kw+hoWhoauDk4kbvAUNxK+7+M8Lh6IHd7PfZjjQiDDsHJwaOGI+zm/J4/jp/Gi/PNYS+e0uRolb0HDCcCpWryV5vWKWkwuN6DRxB287dczr7cg7v38XeHduIiAjD3sGZIaMm4JJN2Vw6d4qtG9PLps+gEXhUrq4w7bIFMzl+aB8Dh4+ldYeuqgpBzvGDuzmwazvSiHBs7Z3oP3xctmVz+cJpdmxaS+i7t1gUtaJH/2GUr5ReNtKIcLauW87dm9f4FPORYiXL0H/4OIpYWv+McDiw14ddXluJCA/D3tGZEWMnZnudnz9zik3rVvEu5A1FLa0ZMHQklaqml8+l82c4vH8vgY/8iY6KYqvPfhydXX9GKACkpKSwfs0qDh3Yx8eP0ZQsVYaJU6ZhZW2T7XF7du3Ea9tmwsPCcHJ2YeyEyRQvkfXvkJKSwpABffnnymWWLF9NrTp1VRQJHMt0rQ34jmvNO8O11lPJtXYn7Vor/pOvtbPH9/HngZ1EScOxtHWkS/9R2DsXU5j24snDXDl/gtdBzwGwcXChTbcBculTUlI4tGMjF08d4fOnGBxd3ek2aCzmRaxUHsuZY/s4sX9Haix2jvw+YLTSWF6/fMYB740EPXlE2PsQOvcdQcOWHeXSxH7+xAGvDdy6epHoSCnW9k507TcKO2c3lccCcOLQHg7t8SIyIhwbeyf6DB2Lk2txhWmDXzzDZ+s6nj0O4ENoCD0HjeK3Np3l0uzfuYVrl8/zOjgIbW1tnIuVpFvfoRSxsvkJ0cClEwc4d8iH6MgIitg40LbPCGycFP8tr5w+yo0Lf/I2+AUAVvbONOvST2n6XesWcuXUEVr3HEqt39qrLIavTh7Zy7F93kRGhGNt70jPQWNwcFFcNq+CnrFn+3pePHnEh9AQug0YSZNWneTS7PXawH5vT7nnLCytWb7lgMpiyOjiHwc4c3gn0dIIito40L7vSKV/679PH+HahZO8fZlaD1jZO9Oia3+59Md3beLW5bNIw96jrqGJlb0zzbv0w1bJ/ZhTqpSxZ8TvdSnjZkVhMwPajdjIsYt+2R5TrawjC0a1ws3enNfvIpm/6SQ7jl2XS9OvXXVGdKtDIRN97j9+w8gF+7jl/1KVocjkdNlk5LN2IZdPHaZNr2HU+Qn3DcDpo3v5I62etrJzpNvAMcrr6aBn7PfewIu0erpLvxE0ail/7yQnJXFgx0aunD9JpDQcIxNTqtdtSotOvZD8hOFnKSkpbFy3isMH9xHz8SPupUozbuK32zf7du9kx/YthIeH4ejkwuhxkyiW1r6Jiopk47rVXL96hdB3IRgaGVOjVh36DxxK/gIFRDzC/1tixKTw3YKCgihbtiznz59n0aJF3L9/n5MnT1KrVi0GDRqU29mTY25ujra2dm5nQyYpKYnk5ORvptPV1aVgwYI/IUf/zfkzJ1m7fBHde/fH02sv9o5OjBnaD2lEuML0D/x8mTllHE1+a8Um731UrVGbyWOG8fzZE1kaSytrho2ZyJZdB1i10QvzwkUYM6QfkdIIlcdz6exJPFctpkvPfqzeshs7B2cmjRxApFRxPA/v+zJ/+ngaNG3Jmq17qFStFjMnDCfoeXo8PkfPyT1GTpyBRCKhak3VdaoAXDhzkvUrFvF77/6s355aNuOGKy8bfz9fZk8dR6NmrdiwfR9Vqtdm6thhvMhQNl/9ffEcAQ/8MDH7edfoX+dO4bl6CZ2692Plpl3YOjgxZdRApdfFw/u+LJwxgfpNWrBy824qVavF7IkjCHr+FEhtlM2eOIJ3IW+YMm8ZK7fspqB5YSaN6E9cbKzK4zl3+k9WL11Ij74D2bxzHw5OzowcrLx87t+7y4xJY2jaohVbfPZTrWZtJowawvOn6eUTGxuLe6nSDBgyUuX5V2T7lk3s8vFm4pTpbN+5F11dXQb16018fLzSY06dPMHSRfPp238QPnsP4ujkzKB+vYkIz/p32Om9/ad8AbmU4VpbtWkXdt9xrS1Iu9ZWpV1rszJda7MmjiAk5A1T5y1jVdq1NvEnXWvX/zrDLs8VNO/Uixkrt2Np68DiKcOIjlQcz6P7d6hYvT7j561lypJNGJsVZPGUoUSEvZelObHfmzPH9tJ90DimLt2Mto4Oi6cM48sX5WWdE65dOoPPxuW07NybWau8sLJ1ZOHkoUQpieVLXDwFzYvQrscgDIxMFKbZvGIOD+5ep//o6cxb50OJMh7MnzhILl5V+fv8KbasW0qHbn1ZutEHG3tHZowdpPRai4+Pw9yiCL/3HYqRsanCNP73btOoRTsWrtnO9EXrSEpMZPrYgT/lWrv991kObVlFow49Gbd0C0VsHFgzYyQfI6UK0z95cIey1eoxbNZKRi3YgKFpQdZMH0Fk+Icsae9du0RQoD8GSuLOaf9cPI3XhmW06dKHBet2YG3nxJwJQ4jKpmwKFS5Kp16DMTRWfK0BWNrYsXHPSdlj5rLNqgpBzq3LZzmwZSVN2vdk4tKtFLV1YOX0EUrrgcf371K+Wl1GzF7F2IUbMDYtyMrpw+XKpqCFFe37jmLySm9Gz1+HScHCrJw+nI9Riss7p+TT1eb+4zcMn7fnu9JbW5hwaFV//rr1GI8O81ntc4F1UztRt1L6D3dt6pdhwaiWzNnwJ5U6LcDv8RuOrh2EmVF+VYUho4qy+cr36iVePP559w3A1Uun2em5nFZdejN7tTdWdo7MnzREaT0dHx9HQfMidOg5GEMl9fSxfV6c/eMA3QaOYdHGvXToOYTj+705deT7roH/ymvbJvb47GD8pOls8d6Drq4eQwf2ybZ9c+bUCZYvWUDvfoPw2nUARydnhg7sQ0RaOy/sw3vCPrxn2Mix7Np/lKkz53L1ymVmz5gs4snjJLn4+BWIjknhuw0cOBCJRMKNGzdo3bo1Tk5OFCtWjJEjR3Lt2jW5tGFhYbRs2RI9PT0cHR05evSo3OsPHjygUaNG5M+fn0KFCtG1a1fCwsJkrycnJ7Nw4UIcHBzQ1tbGysqKOXPmKMxXUlISPXv2xMXFheDgYEB+KvfXqd8HDx6kVq1a6OnpUbJkSa5evao01pSUFKZPn46VlRXa2tpYWFgwdOhQ2evx8fGMHj2aIkWKkC9fPjw8PLh48aLs9a9Tso8ePYqbmxva2tps2rQJHR0dIiMj5d5r2LBh1K5dW+64jI4dO0b58uXR0dHB1NSUli1bfnc+VGWfjxdNWrSmUbOW2NjZM3L8VHR0dDlx7JDC9Ad276BCxSp06NoDa1s7evUfgqOLG4f27pKlqduwCeUqVMKiiCW29g4MGj6GT59iePbkscrjObjHm4bNWlG/SQusbe0ZMmYy2to6nDp+WGH6w3t3Us6jMm07d8fKxo5ufQfj4OTK0f27ZWmMTUzlHlcvX6RkmfIULlJUpbHs3+VF4+atadi0JTa29gwfNxVtHV1OHldcNgf37KB8xSq075JaNj36DcHR2Y3D+3fJpfvwPpRVS+YyccZ8NNR/3mD7Q2llU69JC6xs7Rk8ejI6Ojqc/uOwwvRH9/tQtkJlWndKLZuuvQdh7+TK8YOpZfP2VTCP/P0YNGoiTq7FKWplw6BRk/gSH8els3+qPJ7dO7bTrGUbmvzWEls7B8ZMnIaOjg7HjxxUmH7frh14VKpKp997YmNrT5+BQ3FycePAXh9ZmoZNfqNH34GU86ik8vxnlpKSgs8OL3r37U/N2nVwcnZm5twFfPjwnovnzyo9bqfXNlq2bkvzlq2xs3dg0tQZ6OjqcOSQ/AiiwEcB7Ni+lWmzFNf/OelQhnrg67Wmnc21diTtWmuTdq39nnatHUu71t6kXWuDFVxrF3/CtXby0C5qNGxO9XrNKGJlR/fB49HS0eGv08cUpu8/ZiZ1mrbB2t4JC0sbeg2dRHJyMg/v3QJSy/rUkd00a9+DMpVqYGXrSN9R04mMCOPO1UsqjeXPQz7UbNSC6vWbUcTajh5DxqOtrTwWO2c3OvYeSqWa9dHU1Mry+pf4OG7+fYEOvYbgUqIMhSwsadWlL4UsLDn3h+pHsR3Zt5P6TVpSp1FzLG3sGDByEto6Opz784jC9I4uxejefwTVajdAQ1NTYZppC9dQp+FvWNnaY+vgxNDxM/gQ+o5njx+qMhQAzh/ZQ+X6zahUpwmFLW3pMGAMWtraXD13XGH67iOnU71xK4raOWFe1JrOg8aTkpJMoN8tuXSR4R/Y57mM7iOnof6TPneOH9hJnUYtqNXwN4pa29Fn2AS0tHW4cOqowvQOzsXo2ncYVWo1UHitfaWmpoGhsansoW9gqKII5J07spsq9X+jct2mFLaypeOAsallc1Zx2fQcNZ0ajVtjaeeEeVEbugyeQEpyMo/upZdNhRr1cS1VHjPzIlhY2dGm11DiPn/iTdAzlcZy+spDZqw9ztEL2Y+S/KpPm6oEvQln/NJDBL4IZf2evzh0zpchnWvJ0gztUputB//B++g1Hj1/x5A5u4mN+0K3Fqr/PFVF2UDqfbPHcyk9Rk5DXePntdf+POhDrYYtqFE/9d7pOWQC2to6XFJy79g7F6NTn2FUqlkfDSX3zuOHfpStWIPSHlUxM7fAo1odSpTx4HmgvypDAVI/83bv9KJnn/7UqFUHRydnps+aT9iH91y6oLx94+O9nRat2tKsRSvs7B0YP3k6Ojo6HDuc2s6zd3BiwZKVVKtRi6KWVpSvUJEBg4dz+dIFEhMTRTzC/1uiY1L4LhEREZw8eZJBgwaRL1++LK9n7kybMWMG7dq1w8/Pj8aNG9O5c2ciIlJ/MYuMjKR27dqULl2aW7ducfLkSUJDQ2nXrp3s+AkTJjB//nymTJnCw4cP8fHxoVChQlneNz4+nrZt2+Lr68vly5exslI+nWzSpEmMHj0aX19fnJyc6Nixo9IK88CBAyxbtowNGzbw5MkTDh8+TIkS6dP5Bg8ezNWrV9m9ezd+fn60bduWhg0b8uRJ+iimz58/s2DBAjZt2oS/vz+dO3fG0NCQAwfSv/QkJSWxZ88eOneWn5L11R9//EHLli1p3Lgxd+/e5dy5c1SoUOGH8pHTEhISCHz0kLLlK8qeU1NTo2z5ijy8f0/hMf7371G2QkW55ypUrKw0fUJCAscO7ydf/gLYOznnXOaVvNeTwABKZ4qndLmKBDxQ3PgN8PejdDn5eMp6VCbAX3F6aUQ4N/65TIOmLRW+nlMSEhJ4HPiQMpliKZNN2Tx8cE+uLAHKZSqb5ORk5s+YSLsuPbCxc1BN5hVISEjg6eMASpX1kD2npqZGqXIePFLyt370wI9S5TzknitToRKP0soyIeELAFpa6SOq1dTU0NTSwt/vbk6HICch4QuPHz2kXIX0LzxqamqUq1ARfyXl88DPl3Ie8uXjUakKD/x8VZnV7/bm9WvCwj7gUbGy7LkCBQpQvIQ7fvd8FR6TkPCFgIf+cseoqanhUbGS3DGxsbFMHDea8ZOmYmpqpqoQ0vL076610pmutbLfea09VPG1lpiQQNDTRxQrlf55oaamRrFS5Xn66P53nSM+Po6kpCTyF9AH4MO7t0RJw+XOqZcvP3bOxb77nP9GYkICQU8eUaxUedlzslgC/t37ps5iSMrSkaSlpc1jf8X3Yk5JSEjg2eMA3DNdayXLeBCo5Fr7Nz5/+ghAfn2DHDunIokJCbx6Foizu3z5OJcsx4vAB991ji9f4khKSkQvv77sueTkZLyWz6ROi04UtrLL8XwrkpiQwPPHjyhRRr5sSpSpwOOH/61s3r0Npl/7hgzu2pyV8yYT9v7df83uNyUmJBD8LBCXkuVkz6mpqeFSsjzPv7ds4lPLJl8BfYWvJyYk8PepI+jmy09R25/XPvgeHiVtuXA9UO65M/8E4OFuC4CmhjqlXS05nyFNSkoK568HUiEtjaqoqmySk5PZumwG9Vp2wuIn3TeQGs+LJ48oXlr+M6d46Qo8+Zf1NICTmzv+vjcJeZ06tf7l88cE+t+jZPnK3zjyv3v75jXhYWFUyPCjb/4CBShWwp3795R9f/nCowB/ynvIt/PKe1TifjbttpiYj+TLnx8NFXYk57V4fkVqEkmuPX4F4moRvsvTp09JSUnBxcXlu9J3796djh1T13OaO3cuK1eu5MaNGzRs2JDVq1dTunRp5s6dK0u/ZcsWLC0tefz4MYULF2bFihWsXr2abt26AWBvb0/VqlXl3iMmJoYmTZoQHx/PhQsXMDDIvvE9evRomjRpAqR2nBYrVoynT58qjCk4OBhzc3Pq1q2LpqYmVlZWsg7B4OBgtm7dSnBwMBYWFrJznzx5kq1bt8riSkhIYO3atZQsmb7WYIcOHfDx8aFXr14AnDt3jsjISFq3bq0wz3PmzKFDhw7MmDFD9tzX831vPjKLj4/PMmQ/Pl7y3VPfoyKlJCclYZxpypKRsQnBL18oPCYiPExh+oiIMLnn/rl8iZmTxxAfF4eJqRlLVm/E0FC1a4VGp8WTeQqWobEJr4IVxyMND1OYXhoepjD92T+PoqunR5Uaql2H9WvZGGX+WxuZ8CpIedkoSh+RIZbd3ltQV1enVTvFHeiqEh2lpGyMTHj1MkjhMdIIJWWTdq0VtbbBrFBhtm1YyeAxU9DR0eXw3h2EvQ9VWn45JSoykqSkJIxN5PNnbGLCyx8pH2MThVOec0N42hSyzDGZmJjKjYLPKFIqVfJ3MCXoRfrfYcnCeZQsVZqatVW/fvHXay3z3/q/XGuWadfa1g0rGZLpWotQ8bX2MTqS5OQkDAyN5Z43MDQm5NX3rZ22d+saDI1NcUvrEIxKW9rCwEj+nPqGxkqnueYEWSyZ39fImLev/906cLp6+XBwLcHhXVuwsLLFwNCYq5dO8+TRfQoVVu2o9o9RqfEYZorHwMiY18FBOfIeycnJbF69GNfipbBWcWdRzMfUeApkutb0DYwJfR38Xec4sn0dBkamcp00Zw7uQE1NnZpN2+ZofrMTraRsDI2Mefsq6F+f19GlOANHT8fC0hppeBj7d3gydURvlnjuQVcv64/9OSUm7d7Rz1w2hsaEfue9c8hrLQbG8mUDcP/mFTYvnsqX+Dj0jUwYOmM5+fUNcyrrOaKQiT6hER/lnnsfEY1BAV10tDUx0tdDQ0Od95nThEfjbJN1MEROUlXZnD64A3V1dWo1bZfNkTlP2WeOvuF/u3eatetG7OcYxvRpi5qaGsnJybTtNoAqtRv9xxx/W3haGyZLW8XYVNb2ySxS+uPtvEiplC2e62jRSrVlltfiEfIeMWJS+C4pKSk/lN7dPX0Dg3z58qGvr8/796nrNt27d48LFy6QP39+2eNr5+CzZ88ICAggPj7+m5vpdOzYkU+fPnH69OlvdkpmzlPhwoUBZHnKrG3btsTGxmJnZ0efPn04dOiQbHTl/fv3SUpKwsnJSS6GS5cu8exZ+jQWLS0tufcE6Ny5MxcvXuTt27cA7Ny5kyZNmijdidvX11fp3+F785HZvHnzMDAwkHusWrpQafqfqXS58mzasZ/Vm7ypULEK0yeMVrr23q/k1PHD1K7fGK3/oXVPv9fjR/4c3LODsVNm/5R1/lRNQ0OTSXOW8ObVSzo0rk6rehXxu3OTchWrIFETH4nfcuL4MapUKCN7JCaoZprOpQvnuXnjOqPHTVDJ+X8GDQ1NJs9ZwttXL2nfuDotf6Fr7fje7Vz/6wxDJy+QG/GZl/QfPYOUlBSGdmlCj9+qcvrIHirVqI/a/3jZfI+NK+bz8sUzRk2dl9tZ+abTB7y5/fdZ+kyYh2batRb89BEXj++jy7BJeeJzp3SFKlSqURdrO0dKla/EhDkr+BTzkauXzuR21rJ1ar8Xty6fpd+E+bKy+cqpRBkmLt/O6AUbKFamIpsWTlG6NqKQ8xSVzcunj7hwbC+/D52cJ+4bgOt/neXK+ZMMGjeb2at30G/UdE4c2MlfZxRPd/8vTv5xjBqVysoeiYkJOf4emcXExDBiSH9s7Rzo2z9n92vIa/HkBb/SGpNr1qzBxsYGHR0dPDw8uHHjhtK0np6eVKtWDSMjI4yMjKhbt2626ZURIyaF7+Lo6IhEIuHRo0fflV4z0xpIEolEtvlLTEwMzZo1Y8GCBVmOK1y4MM+fP/+u92jcuDE7duzg6tWrsjUavzdPXz+wlW1IY2lpSWBgIGfPnuXMmTMMHDiQRYsWcenSJWJiYlBXV+f27duoq6vLHZc/f/pi2bq6ulkaBuXLl8fe3p7du3czYMAADh06xLZt25TmWVdXV+lr35uPzCZMmMDIkfKbZETEfX+VZWBohJq6umzR46+kEeFZflH7ytjEVHH6TIty6+rqUdTSiqKWVhQrUZLOrZtw4ughOnfv/d35+1H6afFEZspfZES40k0GjExMFac3yZr+ge8dXgcHMXGm6jt/v5ZN5s5cqTT7slGcPjWW+753iJRG0LFFfdnryUlJrF+5mAO7d+Bz+FQOR5FO30BJ2UgV/60BjIyVlE2GsnR0dmP11r18ivlIYkICBkbGjOjbBUcX1e7Ga2BoiLq6epbRjhHh4ZiYKo5HYflkc6+pWo1atSie4QeXhC+p05UjwsMxy7ApUnh4GM4uincGNzQyUvJ3CMMkrVxv3LjG61fB1KhcQS7NmJFDKV2mLJ5bvXMknq++XmuZ/9aRGe6FzP7ttTb8J1xrBfQNUVNTz7LpQFRkRJaRh5mdOLCDP/Z7MXbOaqxsHWXPf91EJkoagWGGGKMjI7Cyc8xynpwiiyXTqMxoaYTSDRO+RyGLokxetIG4uFjiPn/C0NiU1fMmYmZe5L9mOVsFDFLjybzRTZQ0IsuI3X9j44r53Lx6mbkrNmFqptpRXwD5C6TG8zHTtRYdFYH+N661s4d9OHNgB4NnLqeITfrIzmcP7xETJWVq7/TZJMnJSRzctpoLx/Yy01M164DqKymbyP94rWWWL38BLIpa8+7t6xw7pyL50+6dzB2G0ZHfLpszh3w4dXAHw2asoKhN1lG32jq6FCxclIKFi2LnXJyp/dvxz9njNGzze47G8F+EhkdTyFh+V+CCxvpEfYwlLj6BMGkMiYlJFMycxkSfd+HRKs2bKsrm6cN7fIySMql3K9lzyclJHNi6ivPH9jDHU/Fa1jlB2WdOdGSE0g3IvofPphU0a9eNSjVT26BWtg6EvQ/h6J5tVK/X9D/lObNqNWvLdpoG+JKhfWOaoX0TERGGk5Oy9s33t/M+ffrEsIF90Munx8Klq5SuH/xv5bV4hJ9nz549jBw5kvXr1+Ph4cHy5ctp0KABgYGBCjfpvXjxIh07dqRy5cro6OiwYMEC6tevj7+/P0WKfH+b6tf/WVj4KYyNjWnQoAFr1qzh06dPWV7PvKFLdsqUKYO/vz82NjY4ODjIPfLly4ejoyO6urqcO3cu2/MMGDCA+fPn89tvv3HpUs4vvK+rq0uzZs1YuXIlFy9e5OrVq9y/f5/SpUuTlJTE+/fvs+Tf3Nz8m+ft3LkzO3fu5NixY6ipqcmmlyvi7u6u9O/wb/Ohra2Nvr6+3ONHdjDX1NTE2cWNOzevy55LTk7m9q1ruJUoqfCYYiVKyqUHuHX9qtL0X6UkJ8s+SFVFU1MTR2dXfG/Jx+N7+zquxd0VHuNazB3f2/Lx3Ll5DddiWdOfPH4IR2c37BxVu1YmpMbi5OzG3Uxlc/em8rJxK561bG7fSC+buo2a4bnjABu99skeJmYFade5OwtWrFddMKTG4+Dkiu/t9F/dUsvmBi4K/tYALsXduXdb/le6u7eu4aKgLPPlL4CBkTFvXr3kaeBDKlatmaP5z0xTUwsnFzdu30zfLCw5OZnbN69TTEn5FHcvxa0b8puL3bx+leLupVSZVaXy5cuPlZW17GFn74CpqRk3rqdvJhYTE8OD+364l1ScR01NLVzdiskdk5yczI1r12TH9OjVhz0HjrBr3yHZA2DU2PFMn5Xzo8C+Xmv3fvBa8/2X11olFV9rGpqa2Di48ND3puy55ORkHvrexMGlhNLj/tjvzdHdWxg1czm2jvJfVMzMLTAwMuHhvfRzxn6O4Xmgf7bn/K80NDWxccwai7/vLRxc//v76ujoYmhsyqeP0dy/fY0yFav/53NmR1NTE3snV/zuyF9rfndu4KzkWvseKSkpbFwxn2t/X2DW0g0UKqzaDtavNDQ1sbR3ltu4Jjk5mcd+t7F1Lq70uDMHd3Jy7zYGTluCtYP8tVa+ZkMmLPdi/LJtsoeBsSl1W3Ri0PSlKo3FzsmFB3fly+bB3Zs4uf37ssksLvYz70Jey3Xwq4KGpiZW9s4E+t2WPZecnLrJkF02ZXP64A5O7N3K4GlLsXZU3GGRWUpKMokJqm2v/ajr915Qs4J826tORReu+6VOQU1ITOJuwCtqeaSnkUgk1KrgxA0/xdNUc4oqysajZkMmrfBi4vJtsoeBsSn1WnRiyLRlKosFUuOxdXTBP1M9/cD3Jo7/oZ7+Eh+fZRS7mpraD8/k+x758uXD0spa9rCzd8DE1JSbGdpgMTEx+N/3o0RJxW02TU0tXFyLyR2TnJzMrRvXKJGh3RYTE8OQAb3Q1NRkyfK1P/Q97P9rPMJ/Ex8fT3R0tNxD2W7sS5cupU+fPvTo0QM3NzfWr1+Pnp4eW7ZsUZh+586dDBw4kFKlSuHi4sKmTZtITk7+Zl9OZmLEpPDd1qxZQ5UqVahQoQIzZ87E3d2dxMREzpw5w7p16wgICPiu8wwaNAhPT086duzI2LFjMTY25unTp+zevVu2c/W4ceMYO3YsWlpaVKlShQ8fPuDv7y9bm/GrIUOGkJSURNOmTfnzzz+zrEP5b23bto2kpCQ8PDzQ09Njx44d6OrqYm1tjYmJCZ07d+b3339nyZIllC5dmg8fPnDu3Dnc3d2z7WiE1I7J6dOnM2fOHNq0aZNt5T1t2jTq1KmDvb09HTp0IDExkRMnTjBu3DicnJz+Uz7+i7adfmfejEk4uxbDtVgJ9u/2Ji42lkZNWwAwd9pETAsWpO+g4QC07tCFYf16sGfndipWqcb50ycJDPBn1MRpAMTGfmbHVk8qV6uJiakZUZFSDu/fzYcP76lZp76SXOScVu27snjOFBxdiuHsVpxDe3cQFxdL/Sap8SyaNQkT04L0HDAMgBbtOjNmUC8O7NpOhcrVuXj2JE8e+TNs3BS58376FMPlC6fpO3iUymP4qk3H31kwaxJOrsVwcSvBgT3exMXF0iAtlvkzJmJqVpDeA4cD0Kp9F0YM6MHetLK5cOYkjwP8GTk+tWwMDAwxyLR7qIa6BsYmplhaq3ZxeICW7buydO4UHF3ccHItzpF9O4mLjaVe4+YALJk9GRPTgnTvPxSA39p0YvyQ3hzc7UX5StX469xJnj56yJAxU2XnvHzhNAaGRpgVKkzQsydsXLmQitVqUaaC6hdT79ClG3OmTcTFtRiuxUuw18eb2NhYmvyWujHSrKkTMDMrSP8hIwBo27ELg/t0Z5f3NipXrc7Z03/y6OEDxk6aLjtndFQkoe9CCPuQukZQcNqaiMYmppioeNMYiURCpy6/s2nDeqysbLAoUoR1q1diZlaQmrXrytL1692dWrXr0qFTFwA6/96daZPG41asOMVKuOPjvZ3Y2Fh+a5E60sPU1Ezhhjfm5hYUKaqaNQAVXWvxGa61xWnXWo+0a615m06My3CtXTp3kiffuNY2/MRrrWHLjngunYmtoyt2Tm6cOrKb+Lg4qqWNMtmwZDpGJma065463eqPfV4c3LGR/mNnYlrQQjYaVEdXFx1dPSQSCQ2ad+Do7q0UsrDEzNyCg94bMDQ2pUylGiqNpVHLTmxcMiM1FudinDq8m/j4WNmImfWLp2FkUpD2PVJjSUxI4E3aGsGJiQlIwz/w8tljdHR1KWRhCYDf7auQAuZFrQh9+5rdm1dSuKgN1es3U2ksAM3bdmbF/Gk4OLnh6FqMY/t9iIuLpU7D3wBYPncKJmYF6dpnCJC6ZvWrl89l8USEvef500B0dXUpXCR1078Ny+fz17k/mTh7Gbp6erK1TvXy5UdbW0el8dRu3h7vFXOwcnDBxtGNC8f2Eh8XR8U6qe0Qr+WzMDAxpXnXAUDq+pF/+Gyi28hpmBQsTHTa+qXaOrpo6+qRX98gy6Y96uoa6BsaU6iItUpjadq6M2sWTsfOyQ0H52KcOORDfFwsNRukXherF0zF2LQgnXoNBlKvtddfyyYhgYiwDwQ9DURHVw/zIqnXmteG5ZSrWA3TQoWRhn9gr9cG1NTUqFqrgUpjAajTvAPbV8yWlc35Y3uIj4ujUt3Ue2fbspkYmpjR4vfUsjl1wJvjPpvoMWo6JgULy9aW1dZJrQfi42L5c9923CtUxcDIhJjoKC6dOEBkeBhlqnx79tJ/kU9XC3vL9M8FmyImuDsVQRr9mVfvpMwc8hsWBQ3oPSV1RL3n/r/p36E6c4Y1Z/uRa9Qs70TreqVpOTT9R9WVO87jObMrtx8Gc+tBEIM71UJPVxuvI9eyvH9Oy+myUXjfaGigb2SCeVHV3jcAjVp1YsPi1Hra3rkYJw/tIj4ulhppdeq6RdMwMjGjQ88M905wer0mDftA0LO0eyetni7tUZXDu7diYmZOUWs7gp4F8uchH2rU/03l8UgkEjp0/p0tnuuxtLLGokhR1q9ZialZQWrUSm/fDOzbg5q169KuQ+o67J26dmPGlAm4uhWnWPES7N7pRWxsLE2bp7bzYmJiGDqgF3Fxccycs5CYTzHEfIoBwMjIOMssOBFPHpKLKyzMmzdPbs8KSO1nmD59utxzX7584fbt20yYkL6UkpqaGnXr1uXq1at8j8+fP5OQkICxcfajvzMTHZPCd7Ozs+POnTvMmTOHUaNGERISgpmZGWXLlmXdunXffR4LCwuuXLnCuHHjqF+/PvHx8VhbW9OwYUPZr2JTpkxBQ0ODqVOn8vbtWwoXLkz//v0Vnm/48OEkJyfTuHFjTp48SeXK//0Ln6GhIfPnz2fkyJEkJSVRokQJjh07hkna9MmtW7cye/ZsRo0axZs3bzA1NaVixYo0bfrtaQUODg5UqFCBGzdusHz58mzT1qxZk3379jFr1izmz5+Pvr4+1aunj+b4L/n4L2rXa0ikNIKtG9cQER6Gg5MLC1esl015DA0NQaKWXvsWdy/FlFnz2bx+NZvWrqCIpTWzF63Azj51+p+amjrBQS849cdRoiKl6BsY4uJWjFUbt2Nrr/pdHmvUbUhUpBTvTWuRRoRh5+jM7CVrZdPq3oe+QyJJ/8XWrUQpxk2fx/aNq9m2YRUWRa2YOm85NpmmM146exJSoGY91S/S/VWteg2Jioxgm+capOFh2Du6MH9Zetm8fxcit8RAMfdSTJo5ny0bVrNlfWrZzFy4Alt71U3N/BHV6zQgKlLKjs3rUsvGwZmZi9PL5kOofDxuJUoxZtpcvD3XsH3jKooUtWLy3GVyu4lLw8PYtHpJ2vR7M+o0bEqHbn1/Sjx16jciUhrBpvWrZffOklUb0u+ddyFyu+eVKFmaaXMW4rluJRvXLKeolTXzlqzCziG9fP6+dIG5MybL/j1twmgAevQdSK9+ql/jp1vP3sTGxjJ7xlQ+foymVOmyrF7vKfejy+tXwURGSmX/btCwMdKICNatWUV42AecXVxZvd5T6ZT2n6FGnQZER0rxzuZaU8t0rY2dNhcvzzVsS7vWpmS61iLCw/DMdK11/EnXmkf1ekRHRXJwx0aipOFY2TkxeuZy2bS6iA+hqGWo186fOEhiYgKr58qv69miU29adu4DQOM2XYmPi2Xbqnl8/hSDo1tJRs9aofJ1KCvWqMfHKCkHdmwkKiIcK3snxsxaIYsl/H2oXB0tjfjA5MFdZP8+cWAHJw7swKVEGSYtTO2UiP0Uw96ta4kIe0++AvqUr1qbtt0G/JRdRKvWbkBUlJRd29YhjQjH1t6ZaQtWyzZT+vD+ndw6pBHhHxjZp6Ps34f3eHN4jzfFSpZlznJPAE4e3QfA5BF95N5ryLjpsg5PVSlbtS4xUZH8sWsTH6URFLF1ZNC0JbKNPSI+hMrV05f/PERiYgKbF06WO0+j9j1p0lH+B+ifrXLN+kRHStm7fT2R0nBs7J2YOHeVbCp32Hv59kBE+AfGDkjfGO7YPm+O7fPGzb0M05dsTE0TFsqKuZP4+DEKfQMjXIqXZM7KbeireHM/gHLV6hITHclxH0+ipREUtXVkyLSl6WUTFip3rf11MrVsPBdMkjtPkw49adqxN2pqaoS+fsnG8yf4FB1FvgIGWDu6MGreWpXvAl3GzZrTm4bJ/r1wdOpUf++j1+g7bQfmpvpYmqd/EX75NpyWQ9azcHQrBnWqyZvQSAbM9OHs1fSBFPtP38HUKD9TBzShkEkB/ALf0HzQmiwb4qhCTpdNbqtUoz4foyLZ772BKGk41nZOjJu9MkM9/U6uHpCGf2DSoPR6+o8DO/jjwA5cS5Rh8qINAHQbOIb9XuvZumYB0ZFSjExMqd2oFa06/5x4f+/em7jYWObOmkbMx2hKli7DirUb5do3b14FEylNb9/Ua9AYqVTKxnUrCQ8Lw8nZlRVrN8qWqgkMeMiD+34AtGom/+PE4T/OYvEDU1//v8cjfD9FS7kpGhwVFhZGUlIShQrJLwVTqFCh717Sb9y4cVhYWFC3bt1vJ85AkqKKsdCCIPxSQqL+t6bf/BdxCYrXDf1VaarnrRU34hKScjsLOcZAL2+tn6Onlbd+1X4XGZfbWcgxH6IVT7f5Vamp5eKwARUooJN3fud/HRWb21nIUQXz5a0pheGf8057rUnHabmdhRz1x64Z3070C9HXzjttHEdz5WvvC7nPQDdvfddR5vqzqFx7bw/7b28UDPD27VuKFCnCP//8Q6VKlWTPjx07lkuXLnH9+vVsjob58+ezcOFCLl68mGUT4G/JOy0pQRAEQRAEQRAEQRAEQRB+iKmpKerq6oSGhso9Hxoa+s29NBYvXsz8+fM5e/bsD3dKgtj8RhAEQRAEQRAEQRAEQRD+39LS0qJs2bJyG9d83cgm4wjKzBYuXMisWbM4efIk5cqV+1fvLUZMCoIgCIIgCIIgCIIgCIIKSH6RVWxGjhxJt27dKFeuHBUqVGD58uV8+vSJHj16APD7779TpEgR5s2bB8CCBQuYOnUqPj4+2NjY8O7dOwDy589P/vzfv4yC6JgUBEEQBEEQBEEQBEEQhP/H2rdvz4cPH5g6dSrv3r2jVKlSnDx5UrYhTnBwsGzDYoB169bx5csX2rRpI3ceRbt+Z0d0TAqCIAiCIAiCIAiCIAiCCvwiAyYBGDx4MIMHD1b42sWLF+X+HRQUlCPvKdaYFARBEARBEARBEARBEAThpxMjJgVBEARBEARBEARBEARBFX6lIZO5QIyYFARBEARBEARBEARBEAThpxMdk4IgCIIgCIIgCIIgCIIg/HRiKrcgCIIgCIIgCIIgCIIgqIBEzOXOlhgxKQiCIAiCIAiCIAiCIAjCTydGTAqCIAiCIAiCIAiCIAiCCkjEgMlsiY5JQRAw1NPK7SzkmA8f43M7CzkqJi4xt7OQo3Q0885A/cSk5NzOQo6KS8jtHOQsXS313M5CjilkqJPbWchRea1tvvPe69zOQo658zIqt7OQo2o6G+d2FnLUnqt551r7Y9eM3M5CjmrScVpuZyFH3T+1KLezkGO0NPJO2xNEB5eQN+Wtu1QQBEEQBEEQBEEQBEEQhF+CGDEpCIIgCIIgCIIgCIIgCCogBrpmT4yYFARBEARBEARBEARBEAThpxMjJgVBEARBEARBEARBEARBFcSQyWyJEZOCIAiCIAiCIAiCIAiCIPx0YsSkIAiCIAiCIAiCIAiCIKiARAyZzJYYMSkIgiAIgiAIgiAIgiAIwk8nOiYFQRAEQRAEQRAEQRAEQfjpxFRuQRAEQRAEQRAEQRAEQVABiZjJnS0xYlIQBEEQBEEQBEEQBEEQhJ9OdEwKuebdu3fUq1ePfPnyYWhoCIBEIuHw4cMABAUFIZFI8PX1/e5zbtu2TXauX9G/iVkQBEEQBEEQBEEQhP9Nklx8/ArEVG4hR3Tv3p3IyEhZp+L3WLZsGSEhIfj6+mJgYJDldUtLS0JCQjA1Nc3BnP67vP4sqopZFVJSUli3ZiUH9+/j48doSpUuw8Qp07G2tsn2uN27drJ962bCwz7g5OzCuIlTKFHCXfZ6r+5duX3rhtwxbdq2Z/K0maoIQ+bI/t3s27mNiIgw7B2cGDRyAi7FSihNf+ncabZvXM27d28pUtSK3oNG4FG5mlyal0HP2bRmGX53b5OclIiVrT3T5i6loHlhlcbyx6E9HN69HWlEODYOTvQdOg4n1+IK0wa/eIbP1rU8CwzgfWgIvQaN5re2neXS+N+7zaHdXjx9/BBpeBgTZi2lYrVaKo0ho6MHdrPfZzsREWHYOTgxcMR4XNyUl81f50+z3XMNoWll02vAcCpkKJsGVUoqPK73wBG07dw9p7OfxaF9u9i9YxsR4WE4ODozdPQEXLO51i6ePcXmDat5F/KWopZW9Bs8gopVqitMu2TeTI4d2segEWNp27GrqkKQObDHh51eW1NjcXJm5NiJuBV3V5r+/JlTbFy3indv31DUypqBQ0dSuWp6LCkpKWxav5qjh/bz8eNH3EuWZszEqVhaWas8Fkgtmz07U8vG3tGZoaO+UTbnTrElQ9n0HaS8bJbOTyub4WNp8xPKBtLvHWmGe8f5G/eOV4Z7p2eme6ehknun10+4d/JaPfDo0nH8zxwgNlqKcVFbKrTrj6mN8zePe3HrEpe3LMTSvSK1+k+RPf/y7hUeX/6T8FdP+fLpI00nrMTY0l6VIchp6GpG8+KFMNTVJEgay+arwTwN+6wwbS0HEwZXt5F77ktiMh297sr+PbiaNbUc5dtCd19HMfv00xzPe2Z+545y9+R+PkdJMbW0o3rngRSyU1w2z27/za3je4h6/5bkpEQMCxWhVINWuFSuK0uzumdDhcdWbtuLMo3aqiSGjFqVKkzH8kUxzqfFsw8xLDv3jIB3MUrT59dWp29VG6o7mqKvo0FodBwrLjzn2gspAC1KFqZFqcIU1tcG4EX4Z7ZdDZa9rmoX/zjAmcM7iZZGUNTGgfZ9R2Lj5KYw7d+nj3DtwknevnwOgJW9My269lea3mftQi6fOkybXsOo81t7lcUAUKWMPSN+r0sZNysKmxnQbsRGjl30y/aYamUdWTCqFW725rx+F8n8TSfZcey6XJp+7aozolsdCpnoc//xG0Yu2Mct/5eqDEXm+MHdHNiV2v60tXei//Bx2X7mXL5wmh2b1hL67i0WRa3o0X8Y5Sul19PSiHC2rlvO3ZvX+BTzkWIly9B/+DiKWP6cNkFe+66TkpLC2tXy8Uya+h3x+KTGE5YWz/iJUyjhLt/Wu+d7l1UrlnH/vh/qamo4u7iybuNmdHR0VBiRkJeIEZNCrnn27Blly5bF0dGRggULZnldXV0dc3NzNDTyRv95QkLCN9P8SjFv2+KJz05vJk2djrfPXnR1dRnYrxfx8fFKjzn15wmWLJxHvwGD2LXvEE7OLgzs14uI8HC5dK3atOPsxb9lj+Gjxqo0lotnT7Jh5SK69OrPum17sHN0ZsKI/kgjwhWm9/fzZe60cTRs1pJ12/dSpXptpo8bxotnT2Rp3r5+xYh+3bCytmXJms1s8D5A5x590dTSUmksl8+fYsvaJbTv3o+lnj7Y2jsxfcxAIqURCtPHx8dRqHBRuvYdipGx4g7xuLhYbOyd6Dd8giqzrtDFsyfZuGoxnXv2Y82W3dg5ODNp5AAipUrK5r4v86aPp2HTlqzduofK1WoxY8Jwgp6nl82uo+fkHiMnzkAikVC1Zl2F58xJ58+cZO3yRXTv3R9Pr73YOzoxZmg/pdfaAz9fZk4ZR5PfWrHJex9Va9Rm8phhPM9wrX11+cI5Hj7ww9Qsa32qCmdP/cnKpQvp2XcgW3324eDozIhB/YhQEsv9e3eZNnEMzZq3YpvPfqrXrM34kUN49jQ9lh3bN7Nv107GTJzGpu270NHVZcSgvtnWKznl/JmTrFuxiG69+rNx+17sHZwYOyz7spk1ZRyNm7XC02sfVavXZspY+Xrgq8sXf27ZAFw6exLPVYvp0rMfq7/j3nl435f508fToGlL1mzdQ6VqtZiZ6d7xOXpO7vGz7p28Vg+8uPUXtw54UrJJJ5pOWIlREVvOrppC7MfIbI+LCQ/l9sHNFHQoluW1xC/xFHRwo2yLHirKtXKVbY3oXqEoe31DGHM0gJcRn5nSwBF9HeVtmU9fkui1657s0X/v/Sxp7ryOkkuz7OILVYYBwJMbl/h7jyflf+tC+2mrMbG04+jSSXyOjlSYXjtfAco17UCbScvoOHMdrlXrc27LUl4+uCVL02OZj9yjdo+RIJFgX7aqyuOp7WzK4Jp2bL0aTC/vuzx9/4mlbYpjqKepML2GmoRlbUtgbqDDlKMBdNpyiwWnnxIW80WW5sPHeNb/9YJe3nfpvcOXO8GRzGvhhq2JnsrjuXX5LAe2rKRJ+55MXLqVorYOrJw+guhIxW2cx/fvUr5aXUbMXsXYhRswNi3IyunDiQz/kCWt79VLvHjsj4GStlBOy6erzf3Hbxg+b893pbe2MOHQqv78desxHh3ms9rnAuumdqJuJVdZmjb1y7BgVEvmbPiTSp0W4Pf4DUfXDsLMKL+qwpD569wpPFcvoVP3fqzctAtbByemjFLe/nx435eFMyZQv0kLVm7eTaVqtZg9cQRBz1N/fEhJSWH2xBG8C3nDlHnLWLllNwXNCzNpRH/iYmNVHg/kre86AFs3e7JrpzeTp01nx67UeAb0zT6ek3+eYPHCefQbOIjd+w7h7OzCgH69CM8Qzz3fuwzs15tKlauyc/c+fPbsp0Onzqipia4m4fuJq0VQiZo1azJ06FDGjh2LsbEx5ubmTJ8+Xfa6jY0NBw4cwMvLC4lEQvfu3bOcQ9G05qNHj+Lo6IiOjg61atVi+/btSCQSIiMj5Y49deoUrq6u5M+fn4YNGxISEgLA9OnT2b59O0eOHEEikSCRSLh48aLCGPbv30+JEiXQ1dXFxMSEunXr8unTJ9nrmzZtwtXVFR0dHVxcXFi7dm2WvO/Zs4caNWqgo6PDunXr0NXV5c8//5R7n0OHDlGgQAE+f/6sMGZ/f3+aNm2Kvr4+BQoUoFq1ajx79uy78qEqKSkp7PT2ok/fAdSqXRcnZxdmzV3Ih/fvuXDurNLjvL220qpNO1q0bI29vQOTp85AR0eHw4cOyKXT0dHB1NRM9sifX7UNqgO7vGj0W2saNm2Bta09w8ZOQVtbl1PHDytMf2jvTsp7VKFdlx5Y29jRvd9gHJxdObJ/tyzN1g2rqFC5Gn0Gj8TB2RWLopZUrlYLI2MTlcZyZN8O6jdpRd1GzbGysWfAyElo6+hw9oTiWBxditFjwAiq12mIpqbiLyplParSpfcgKlWrrcKcK3ZwjzcNm7WiQZPUshk6ZjLa2jpKy+bw3p2U86hM287dsbKxo1vfwTg4yZeNsYmp3OPq5YuULFOewkWKqjyefT5eNGnRmkbNWmJjZ8/I8VPR0dHlxLFDCtMf2L2DChWr0KFrD6xt7ejVfwiOLm4c2rtLLt2H96GsWDKXyTPno/6TftjYvXM7v7VsQ9PmLbG1c2DspGlo6+hw/MhBhen3+uzAo1JVOnfriY2dPX0HDsXZxY0De3yA1Hplr4833Xv3o3rN2jg4OTN15jzCPrznr4vnVB7Pvl1eNGmetWz+VFY2e+TLpmf/ITg6u3FoX9ayWbl4LpN+YtlA+r1TP+3eGfIv752j/wP3Tl6rBwLOH8KxSkMcKtXDsLAVFTsORl1Lh6f/nFZ6THJyEpe3LqJkk84UMDXP8rq9R21KNu5EYZdSKsy5Ys2KF+JsYBgXnoTzOjKODVeCiU9Mpo5TNp93KSlExibKHlFxiVmSJCbJp/n0JUmFUaTyPXWQYtUb4latPsZFrKn1+xA0tLQJuHxKYfqiLiWxL1sFYwsrDApaULJeC0yL2hLy2F+WJp+Bsdzjhe9VirqUxKCgamdPAHQoV4Rj999x4kEoQeGfWXTmKXEJyTQtXkhh+iYlCqGvo8GEww+5/zaad9Hx+L6O4umH9PbvlecRXHsh5XVkHK+ksWz8+yWxX5JwK1xA5fGcO7KbKvV/o3LdphS2sqXjgLFoaWtz9exxhel7jppOjcatsbRzwryoDV0GTyAlOZlH927JpYsM/8Aez6X0GDntp9XTp688ZMba4xy9kP0oya/6tKlK0Jtwxi89ROCLUNbv+YtD53wZ0jl9BsvQLrXZevAfvI9e49HzdwyZs5vYuC90a1FJVWHIHEqrp+s1aYGVrT2DR09GR0eH038cVpj+6H4fylaoTOtOqfV0196DsHdy5fjB1Hr67atgHvn7MWjURJxci1PUyoZBoybxJT6OS2f/VHjOnJTXvuvI4umXHs/seanxnM8unu0Z4nFwYPK0tHgOpsezaME8OnbuSq8+fXFwcMTG1o4GDRujpeLBGL8cMZc7W6JjUlCZ7du3ky9fPq5fv87ChQuZOXMmZ86cAeDmzZs0bNiQdu3aERISwooVK755vhcvXtCmTRtatGjBvXv36NevH5MmTcqS7vPnzyxevBhvb2/++usvgoODGT16NACjR4+mXbt2ss7KkJAQKleunOUcISEhdOzYkZ49exIQEMDFixdp1aoVKSkpAOzcuZOpU6cyZ84cAgICmDt3LlOmTGH79u1y5xk/fjzDhg0jICCAtm3b0rRpU3x8fOTS7Ny5kxYtWqCnl/WX5jdv3lC9enW0tbU5f/48t2/fpmfPniQmJv5QPnLam9evCQv7gEel9L9dgQIFKOFeknv37io8JiHhCwEP/fGomH6MmpoaHhUr45fpmD//OEbNqh60btGUlcuWEKvCX0YTEhJ4HBhAmfIV5fJVprwHDx/cU3jMwwf3KFPeQ+65ch6VCUhLn5yczPV//qKopTXjh/enbeMaDOnViSuXzqssDkiN5VlgACXLpudNTU2NkmU9CHz4fQ3f/yUJCQk8UVA2pctV5OEDxfEE+PtRulxFuefKelQmwF9xemlEODf+uUyDpi1zLuNKJCQkEPjoIWUzxVO2fEUe3ld8rfnfv0fZCvLxVKhYWS59cnIyc6dNpEOXHtjaO6gm85kkJHwhMOAh5TzSv+yoqalR3qMiD/wUx/Lgvi/lPeRj8ahUhQd+vgC8ffOa8LAwymVIk79AAdyKuys9Z05JSEjg8aOHcn/r1HqgIv5Kyubh/XtyZQlQvmJlufTJycnMmz6R9l16YGv3c8oG0u+d0grunYBf7N7Ja/VAUmIC4cFPKexcSvacRE2Nwi6l+PDikdLj/E7sQqeAIY5VGqg8jz9CQ02CvYkefm+jZc+lAH5vP+JkpvyLto6mOuvbFWdDuxKMq2OPpWHW6X7FzPOzpaM7K1sXo28lK/Jrq6siBJmkxATev3yCpVtp2XMSNTWKupXm3bOAbx6fkpLCq4d3kb57jYWz4umrn6OkvPS7gWs11ZejhpoEp0IFuPUyMj2PwK3gSIpZ6Cs8pqq9CQ/efmRUHXuODvDAq3sZunpYoqbki62aBOo4m6GjqY5/yMecDyKDxIQEgp8F4lKyXPr7q6nhUrI8zwMffNc5vsTHkZSUSL4C6fEnJyezddkM6rXshIWVXY7nO6d4lLTlwvVAuefO/BOAh7stAJoa6pR2teR8hjQpKSmcvx5IhbQ0qpKQkMDTxwGUytT+LFXOg0dK6t1HD/woVU6+LV2mQiUepdXrCQmpo3S1tLTlzqmppYW/n+LvGjkpL33XgQzxVMwaT+a8fZXwJTWeipXk46mYIZ7w8HDu+93D2MSE3zt3oFb1yvTs1oU7t28pPKcgKPO/P19U+GW5u7szbdo0ABwdHVm9ejXnzp2jXr16mJmZoa2tja6uLubmWX/5V2TDhg04OzuzaNEiAJydnXnw4AFz5syRS5eQkMD69euxt09dW2nw4MHMnJm6Zkf+/PnR1dUlPj4+2/cNCQkhMTGRVq1aYW2duo5JiRLpjcxp06axZMkSWrVqBYCtrS0PHz5kw4YNdOvWTZZu+PDhsjQAnTt3pmvXrnz+/Bk9PT2io6P5448/OHRI8YicNWvWYGBgwO7du2Wj2ZycnH44HxnFx8dnGbKfrKaNtra2wvSKhIWlToExMZEfDWFsYkJ4WJjCY6RSKUlJSVmOMTExIejFc9m/GzVpioWFBWZmBXn8OJAVyxYTFPSCpStWf3f+fkRUpJTkpKQsIxmNjE149VLxtDFpeBiGCtJHhKfGHimNIPbzZ/Z4b6Z73yH0HjicW9euMGPCCBat3kzJMuUUnfY/i46SkpychKGxsdzzhkYmvA4OUsl7qlJ0Wtko+lu/ClZeNorKUhqu+Lo88+dRdPX0qFqjTs5kOhtfrzVjBfkLVnKtRYSHKUwfEZEezy6vLahrqNO6fefMh6tMZGQkSQpiMTY24WWQ4ljCw8IwynT/G5mYyKYDfb1/jDNNozM2MSFCSb2SU7KrB7Irm29da7u8tqCu/nPLBpTfO4bfuHcUpVd275xNu3eqqPjeyWv1QHxMNCnJyejqG8o9r1vAkOjQVwqPCX3qz9N/TtN04iqV5+9HFdDWQF1NQmSs/IjHqNgEiijobAR4ExXHmr+DeBkRi56WOs2LF2JOUxeGH/Qn4nPqsjd3X0dzLSiS9zHxmBfQplPZIkyu78jE449ITlFNLLEfFZeNnr4hkSGKywYg/vMnto3qTFJiAhKJGjW6DsaqWBmFaR/9cxZNHV3sy1bJyawrZKCriYaahIhPX+Sej/j0BWtjXYXHWBjoUMZKhzMB7xlz0J8ihjqMquuAhpqErVeDZensTPVY36kUWhpqxH5JYuKRhwSFK15TNKfEREeSnJyEvqF8G0ff0JjQ19+3huIhr7UYGJvKdW6ePrgDdXV1ajVtl6P5zWmFTPQJjZDv/H0fEY1BAV10tDUx0tdDQ0Od95nThEfjbKN4hGxOiY5S8pljZMKrl0EKj5FGKPnMSWvfFLW2waxQYbZtWMngMVPQ0dHl8N4dhL0PVVqX56S89F0HMsRjmjVvYcriiVQez4u0eN68Tq0b169ZzcgxY3F2ceX4kcP07dWdA0eOf3P9yv9PJL/K0MVcIjomBZVxz7QobuHChXn//v2/Pl9gYCDly5eXe65ChQpZ0unp6ck6Jf/t+5YsWZI6depQokQJGjRoQP369WnTpg1GRkZ8+vSJZ8+e0atXL/r06SM7JjExMcsmPuXKyXdANW7cGE1NTY4ePUqHDh04cOAA+vr61K2reE0rX19fqlWrpnCK7Y/kI6N58+YxY8YMuecmTp7G5KnTlR7zx/GjzJ4xTfbvVWs3KE37X7Vpm77YuKOTM2ZmZvTt1Z1XwcFYWlmp7H1zUnJyMgCVqtWiddomFw5OLvjf9+X44b0q65gUftyp44epXb8xWj/QMf+/JDDAn/27d+DpvReJRDR4/pcEBvhzYM8ONnrlzbL51e+djP6XY0mI+8yV7Uuo1HkoOvmVf7b/Sh5/+MTjDFODA0NjWNG6GPVdzNh95y0AVzJspBIsjeOlNJa1bUtQzLwA91U8Mu9Haeno0n76WhLiY3n90Je/d29E38ycoi5ZN1h6ePkUThVro6H5vznFUU0CkZ+/sPD0E5JTUsvGLL82HcsXleuYDI6IpYfXHfJra1DTyZRJjZwZssdP5Z2T/8Wp/V7cunyWEXPWoJk2Cu/l00dcOLaXCUu35sl6+lemoaHJpDlLWDF/Oh0aV0dNXZ1SZT0oV7EKKSr4cSKvfdf54/hRZk1Pj2f1OtXE8/U7T5t27WnRsjUArq5uXL9+lcMHDzBsxCiVvK+Q94iOSUFlMnemSSQSWeX1s9835Qc/wdTV1Tlz5gz//PMPp0+fZtWqVUyaNInr16/Lplx7enri4eGR5biM8uXLJ/dvLS0t2rRpg4+PDx06dMDHx4f27dsr3exGV1fxL9oAMTEx352PjCZMmMDIkSPlnktWy/7LWM1atSnhnt7A/vIl9df38PBwzDJs5hARHo6Ts4vCcxgZGaGuri63WPLXc2S3C3mJEqnv++rVS5V0TBoYGqGmrp5lgwtpRDhGJorzZWRiSqSC9MZp6Q0MjVBX18DaVn5HVCsbOx4omS6RE/QNjFBTUycyQn6h8UhpuMrXtlQF/bSyUfS3VrZRj5GJ6XeX5X3fO7wODmLizIU5l+lsfL3WMm8Ok3rtKC4fYxNTxenT4vfzvUOkNIJ2v9WXvZ6clMS6FYvZv3sHe44oXhftvzI0NERdQSwRGe6DzExMTZFmuv+l4eGyX+K/HhcREYapmVn6OcPDcVRSr+SU7OqBzKNCvzL+xrV2P61s2jfPVDYrF7N/zw52H1ZN2YDyeyfyG/eOwvQKyvPBT7x38lo9oJ1fH4maGrGZNlOJ/RiJjr5RlvQfP4QQEx7K+XXpPyh+bdN4D25Gi2kbKWCm+rUKlfkYn0hScgqGuvLtGANdTSI/f3vTP4CkFHgRHivb5VmR0I9fiIpNwFxfW2Udk7oFFJfN5+hI9Ayyls1XEjU1DAtZAGBmZY80JJjbf+zJ0jH59vEDIt+9pmH/iTmed0WiYhNITE7BOJ98J6hxPi3CPykum7BPCSQlJ8uNSn0Z8RnT/FpoqElITHshMTmFN5FxQGrnpat5ftqWsWDRGdXtmp5f3xA1NfUsG91ER0agb2Ss5KhUZw75cOrgDobNWEFRm/RlNZ4+vMfHKCmTeqfPbkpOTuLA1lWcP7aHOZ6K10zODaHh0RQyll/Hs6CxPlEfY4mLTyBMGkNiYhIFM6cx0eddeDSqpG+g5DNHmk1b2ljJZ06Get3R2Y3VW/fyKeYjiQkJGBgZM6JvFxxdFO+q/l/kte86NWvVlp0X4Eva1PjwMPl4wsPDcXZREo/ht+P52l6zs5f/zmNrZ8+7kLf/PZA8RPz2kT2xxqTwy3B2dubWLfn1Km7evPnD59HS0iIp6dsLqEskEqpUqcKMGTO4e/cuWlpaHDp0iEKFCmFhYcHz589xcHCQe9jafnsNl86dO3Py5En8/f05f/48nTsrn+Ln7u7O5cuXFe7o/W/zoa2tjb6+vtzjW9O48+XLj5WVtexhb++AqakZN65dlaWJiYnhvt89SpYsrfAcmppauLoV48b19GOSk5O5cf0q7kqOAXj0KHVdJ1NTM6Vp/gtNTU2cnF25e+u6XL7u3rqOW/Gsox0A3IqXlEsPcOfGNVzT0mtqauLsWoxXmaZPvwl+SSFz1X2B1NTUxN7ZFb878rH43b6Bs5t7Nkf+b9LU1MRRQdn43r6OW3HF8bgWc8f3dqayuXkN12JZ0586fghHZzfsHZ1zNuNKaGpq4uzixp2b8vHcvnUNtxKKr7ViJUrKpQe4df2qLH39Rs3Y7HOATTv2yR6mZgVp36U7i1auV2EsWji7unH7xjW5WG7duE5xd8WxFC9RilsZ0gPcuH6V4u6lALAoUhQTU1Nu3UiP91NMDA8f+Ck9Z07R1NTESUHZ3Ll5jWJKysatREnuZKoHbt+4Kktfr3EzNu88wCbvfbLH17JZuEJ1ZQPp946vgnvHNQfunZNp947dT7h38lo9oK6hiYmVAyGBvrLnUpKTeRfoi5lt1i+HBuaWNJu8hqYTV8keliU8MHdyp+nEVegZ/ZwdhJVJTE7hWfhnSmRYs1ACuFsU4PGHmO86h5oErI10kWbTkWmsp0kBHY1s0/xX6hqaFLR25FWAr+y5lORkXgf4Ym7vqvzATFJSUkhKzJrPh5dPYmbtiOlPWscwMTmFx6EfKWtlKHtOApS1MsT/reKOqvtvoihiqCs34dDSSJewmHhZp6QiEokETXXVfq3U0NTEyt6ZQL/bsueSk5MJ9LuFnXNxpcedPriDE3u3MnjaUqwd5cvRo2ZDJq3wYuLybbKHgbEp9Vp0Ysi0ZSqL5d+4fu8FNSvI11N1Krpw3S91SYuExCTuBryilkd6GolEQq0KTtzwU+2O9pqamjg4ueJ7+4bsudR6+gYuCupdAJfi7tzLkB7g7q1ruCio1/PlL4CBkTFvXr3kaeBDKlatmaP5h7z3XSdfvvxYWVvLHl/juX49azzK8qaplRrP9Wvy8VzPEE+RIkUxK1iQoBfy19jLoCAKWxTJsXiEvE90TAq/jH79+vHo0SPGjRvH48eP2bt3L9u2bQP4oekXNjY2+Pn5ERgYSFhYmMJOv+vXrzN37lxu3bpFcHAwBw8e5MOHD7i6pjZoZsyYwbx581i5ciWPHz/m/v37bN26laVLl37z/atXr465uTmdO3fG1tY2y2jHjAYPHkx0dDQdOnTg1q1bPHnyBG9vbwIDA/9zPv4LiURC566/47lxHRcvnOPJ40AmTxyLWcGC1KqTPi29b69u7PbZIft31997cHD/Xo4eOcTzZ8+YM2s6sbGxNG+R+kv1q+BgNq5fw0P/B7x585qLF84xZeI4ypYrr/TXyZzQuuPvnDh6gNN/HOFl0HNWLpxNXFwsDZq2AGDBjIlsXpu+QVPLdp25ee0f9vlsJzjoBV6b1vL4kT/N23SQpWnbuTuXzp7kxJH9vHkVzOF9u7h65RK/tW6f+e1zVPO2XTh9/BDnTx7l1cvnrF82l7i4WOo2ag7AsrmT8dq4UpY+ISGB508Cef4kkITEBMLD3vP8SSAhr9OnbMV+/ixLAxD67g3PnwTyITREpbEAtGrflT+PHeTMiaMEBz1n1eLUsqnfpAUAC2dNYsu69LJp0a4zt679w/5d2wl++QLvzet4kqlsAD59iuGvC6dp2Ez1m11k1LbT7xw/coCTx4/w8sVzli2YRVxsLI3SrrW50yaycc1yWfrWHbpw4+oV9uzczsug52zduJbAAH9atusIgIGhIXb2jnIPdQ0NjE1MsbJW7WL3HTp34+ih/Zw4dpig589YNHcmcbGxNP0t9W86c8oE1q1K/2LXrlMXrl29go/3NoJePGfT+jU8eviA1u07Aan1SrtOXdm+aQOXL53n2ZPHzJw6AVOzglSvqfq1/9p2TCubPzKUTVwsDb+WzfSJeGYsm/apZbN353aCg56zzTOtbNqmlY2BIbb2jnIPdQ0NjI1VXzbw7XtnkZJ758Cu7bzKcO/8puDeufyT7528Vg+41m7JkyuneHbtLJEhwVzbvYbE+DgcKtUD4O9tS7hzeBsA6ppaGFnYyD209PKhqa2LkYUN6hqps0TiP30k4tUzIkNS6+6o0DdEvHpGbFSEwjzkpGMPQqnrZEpNB2OKGOjQt7IV2hpqnH+cOspmSHUbOpe1kKVvW6owJS0KUKiAFrYmugyrYYtpfi3OPk5d50xHQ43fyxfB0SwfZvm1KFG4AOPr2qfuEP1GtSO/SjVoxcNLfxJw5QwRb4O56L2KxPg4XKumjnw+47mIf/ZvkaW/9cdugv3vEPU+hIi3wdw9eYDAq+dwrlRb7rxfYj/x9OZlilVvqNL8Z7b71huauZvTsFhBrI11GV3PAV1NNf54EArA5EZO9KtmI0t/+F4I+joaDKttj6WRLpXsjOjqYcnBu+mf9/2q2VCyqD7m+trYmerRr5oNpS0NOB3w75dr+l51mnfg79NHuXr+BCGvgti1fhHxcXFUqtsUgG3LZnLYa50s/akD3hzb6UnXIRMxKViYKGk4UdJw4mJTp5zn1zegiLW93ENdQwN9IxPMi1qrNJZ8ulq4OxXB3Sm188amiAnuTkWwNE8dnTtzyG9smtVVlt5z/9/YFjVhzrDmONkUom/barSuV5pVOy/I0qzccZ4eLSvTuZkHzraFWDmxPXq62ngdkf9RUBVatu/KqeMHOftnaj29Zskc4mJjqdc4tf25ZPZktq1Pb3/+1qYTt6//w8HdXrx6+YKdW9bx9NFDmrZKr6cvXziN392bhLx9zdXLF5g8sj8Vq9WiTIWsG5fmtLz2XUcWz4Z1XDyfFs+E1HhqZ4inT89u7NqZIZ5uafEcTo1n9szUeFq0bCU7b/cevdi105szp04S/PIlq1cuJ+jFc1q2aqOyeIS8R0zlFn4Ztra27N+/n1GjRrFixQoqVarEpEmTGDBgwA9t3NKnTx8uXrxIuXLliImJ4cKFC9SsWVMujb6+Pn/99RfLly8nOjoaa2trlixZQqNGjQDo3bs3enp6LFq0iDFjxpAvXz5KlCjB8OHDv/n+EomEjh07snDhQqZOnZptWhMTE86fP8+YMWOoUaMG6urqlCpViipVqvznfPxX3Xv2ITY2llnTp/LxYzSly5Rl7fpNcmXx6tUrpNL0daIaNGqMVBrButUrCQv7gLOLK2vXb8IkbTqApqYm169dZae3F7GxnylkXpg69erTp99AlcZSs25DIqVStm9aizQ8DHtHZ+YuWyeb/vw+9B0StfTfcYq5l2LCjPls27iKretXUsTSiukLVmBr7yhLU7VmHYaNncIur82sWbqAotY2TJu7lOIlFS+In1Oq1W5AdKQUn63rkEaEY+vgzLSFa2QLjIeFvkNNkh5LRNgHRvRJbwQe3uPF4T1eFC9ZljkrNgHwNPAhk0ekr2O6Zc0SAGo3aMawCTNVGk/Nug2JipTitWkt0ogw7BydmbNkraxsPmSKp1iJUoyfPo/tG1ezbcMqLIpaMW3ecmzsHOXOe+nsSUiBWvUaqTT/mdWu15BIaQRbN64hIjwMBycXFq5YL5vGHBoagiTD9qfF3UsxZdZ8Nq9fzaa1Kyhiac3sRSuws3dU9hY/Td0GjYiURuC5bjUR4WE4OruwdPWG9FjehaCWIZYSJUszY85CNq5dyYbVyylqZc38pauwd0iPpUu3XsTFxrJg9nRiPn7EvVQZlq7e8EN1/L9Vu15DoiIj2JZWNvZOLixYnl4270Pl4ynuXorJs+azZf1qNq1LLZtZC+XrgdxUI+3e8c5w78zOcO+8D32HJMO941aiFOMy3TtTs7l3av7Eeyev1QO25aoTHxOF7/EdxEZLMS5qR53BM9FNm8r9SfpBrh74Hq/8rvGP93LZvy9vWQCAe+NOlGqq2s2X/nkhxUBHgw5lLDDU1eRFRCyzTz8hKi51QxzTfFpyS+rk01JnQFVrDHU1iYlP4nn4ZyYdf8TrtKnBySkpWBvpUtPBBD0tdaSfE7j3Nppdt99mO2ovJzhWqEHsxyhuHPbmU5QUM0s7mo2YLZvK/THivVzZJMbHccl7NTHSMDS0tDAyt6Ren7E4Vqghd97H1y+lnt+jpkrzn9n5wDAM9TTpXcUaYz0tnn6IYdR+f9nI00L62nLTtt9//MLI/Q8YWsuObd3KEBYTz747b9l5I33zHyM9TSY3csYknxafviTy7MMnRu5/ILf7t6qUq1aXmOhIjvt4Ei2NoKitI0OmLZVtiBMRFirXXvvr5CESExPwXDBJ7jxNOvSkacfeKs9vdsq4WXN60zDZvxeOTl2fz/voNfpO24G5qT6W5ulT1F++DaflkPUsHN2KQZ1q8iY0kgEzfTh7NX3H+P2n72BqlJ+pA5pQyKQAfoFvaD5oTZYNcVShep0GREVK2bF5XWo97eDMzMUZ6+kQuYEkbiVKMWbaXLw917B94yqKFLVi8txl2NilT7WXhoexafWStGVFzKjTsCkduvVVeSxf5aXvOgA9eqXGMzNjPBvk43n96hWRkenxNGzUGGlEBGszxrMhPR6ALr93Jz7+C4sWziMqKgpnZxfWe275ZfYG+FnETO7sSVJ+dPE9QfgfMmfOHNavX8+rV8p3SxS+LVZ1M6N+ug8f47+d6BfyOf7byw78SnQ0885Afe08FAuAlkbeiic+QfVrGv8s8Yl5JxbIe43znfde53YWcsydl1G5nYUcVdM5+7UHfzV7ruada21m05xfJzA3Nek47duJfiH3Ty3K7SzkmCJGytfs/xXltbUKdf6fDJV78Pr7ljdRheJF8+fae3+v/yeXgZBXrF27lvLly2NiYsKVK1dYtGgRgwcPzu1sCYIgCIIgCIIgCIIgZJXHOpRzmuiYFH4pT548Yfbs2URERGBlZcWoUaOYMGFCbmdLEARBEARBEARBEARB+EGiY1L4pSxbtoxly/63dskTBEEQBEEQBEEQBEEQfpzomBQEQRAEQRAEQRAEQRAEFZCIudzZylsr3QuCIAiCIAiCIAiCIAiC8EsQIyYFQRAEQRAEQRAEQRAEQQXy2m7qOU2MmBQEQRAEQRAEQRAEQRAE4acTHZOCIAiCIAiCIAiCIAiCIPx0Yiq3IAiCIAiCIAiCIAiCIKiAmMmdPTFiUhAEQRAEQRAEQRAEQRCEn06MmBQEQRAEQRAEQRAEQRAEVRBDJrMlSUlJScntTAiCkLteRcTndhZyTFxCcm5nIUfFJybldhZyVCEDndzOQo7Jax+fmup5axJF/WWXczsLOWZwA/vczkKOWnb8cW5nIUclJeWdz529AyrndhZylEYeq9fykqjPCbmdhRxlmE8zt7OQo0o0GJPbWcgxIf+syO0sCNkw1FXP7Sz8FAEhn3LtvV0L58u19/5eYsSkIAiCIAiCIAiCIAiCIKiARAyZzJb4GVEQBEEQBEEQBEEQBEEQhJ9OdEwKgiAIgiAIgiAIgiAIgvDTiancgiAIgiAIgiAIgiAIgqACEjGTO1tixKQgCIIgCIIgCIIgCIIgCD+dGDEpCIIgCIIgCIIgCIIgCCogBkxmT4yYFARBEARBEARBEARBEAThpxMdk4IgCIIgCIIgCIIgCIIg/HRiKrcgCIIgCIIgCIIgCIIgqIKYy50tMWJSEARBEARBEARBEARBEISfTnRMCnmKRCLh8OHDP/U9L168iEQiITIyEoBt27b9H3v3HRbF0Qdw/Ht0BKXbUECkCTawgF2x9xaNHcXeozG2GHuPxt57Q6xRY43daGyxYcWK2JCugICUe/84ODiKonKc3DufPPc8cZndnd/O7ezc7OwsxsbGeZoHQRAEQRAEQRAEQRC+PxIV/pcfiEe5hXwlKCiIGTNmcOjQIV69ekXhwoWpWLEiP/30E/Xr11d19gD48ccfadasmaqzoXT7d/uyc9tGwsNDKW3nwJCR43ByKZdt+rMn/2bj6qUEBb3GsoQVfQePwL16Lfnf506bwN+HDyisU9m9OrMXrlRaDOkd3OvLXt9NRISHUaq0A/2Hj8HROet4nj97zLZ1K3j88B7BQW/oO2QUrTt2+6Zt5qYj+3ayf8dmIsPDsCltT++ho7EvUzbLtIHPnuC7cSVPH94n5O0beg36mRY/dFFIc3T/Lo79tZuQoDcAlLSxpUP3vri511B6LAB7dvqwffMGwsNCKW3vyIjR43EuWz7b9KeOH2PtiiUEvXlFiZLWDBw2kmo1a8v/fvbUcfbt3on/g7u8f/eODT67sXcskxehALB353a2b0mL56dfxuNcNvvvxekTx1i7Yqk8ngFDR8jjSUxMYM3yJVy68A+vX73EwNCQylU9GDB0BOYWhfMkHqlUypoVS9n/5y6io6IoV8GV0eMnYmVt88n1du/wYeum9YSHhWLn4MjPY37FJV257tuzk2NHDuH/4B4fYmI4fu4SBQsWUmosHSoVp5uHFWaGOjx6G83vfz/i3uuobNMb6moxqG4p6jmZU0hPmzfv4vjj+GP+fRIuT2NRUIeh9UpTrbQpetoavIyIZepBf+6/yX67ueW/v/dz+dBOot+FU8SqNI28hlC8tFOWaR9c/Yd/928n4u0rkpOSMCliiXuzHyhXq6E8zbk9m7h38QxR4SFoampRtJQ9dTp6Y2mn/PPnxyol8KohK5uHQdHMOfKQO6/eZ5u+oJ4WQzxL41nGAiN9Wdn8fvQh5x+FAaAhgQF1bWlevihmhjqERMVz4OYb1pwLUHosAJ2qlqBnTRvMDXXwD4pm1qEHn41nWAM76jsXxkhfm9eRscw9/JB/HoUCUEBHkyH1S1PfuTCmBjo8eBPF7MP+3P3ENnPT4T938Kf8uuNA32GjcfjEdcdnwwqepFx3vAf/TKsfuiqk2b1tPZf+OcXLwAB0dXVxdKmAV79hWFrZKD0WdWoPfOm+80M8fx/YyaHdW3kXEYaVrT1eg36htKNLlmlfBjxh95ZVPHv0gNDgN3TrP4KmbRXbOMlJSezZupoLp44SGRGGiZk5tRu0oE2X3kgkyv1Bf3CvL3u2px3HAT99+jj+c/pvtq5dztug1xQvYUWvAcOpUi2tLR0RHsaGFQu5cfUSMdFRuFRwY8BPY7Asaa3UOABquJVmRI8GuDlbUczCiI4jVvPXGb9PrlOrkj1zfm6Hc+mivAyKZPbao2z967JCmv4dazPCqz5FzApx++ErRs7ZxX93nyszFDmpVMrqFUvZv1fWvilfMWftm12+PmzbtJ6wsFDsU9s35dLaN3/u3snfRw7xIKV9c+LcJQoWUm77BpQTz7t3kaxZsZTLF//lbdAbjE1MqFOvPv0HDcOwYEGlxySoDzFiUsg3AgICqFSpEqdOneL333/n9u3bHD16lHr16jF48GBVZ09OX1+fwoXzpkNAVU6fOMrKxb/TvfcAVm7cga29I2NHDCAiPCzL9Hf9bjJj0hiatGzLyk07qVHbk0ljhvPsySOFdFU8arDz4Cn559epc/MiHM6dPMbaZfPp3LM/i9Zup5SdAxNHDSIyIjzL9PFxcRQtbolX/+GYmJrnyjZzy4XTf7NxxR907NGP31dtw7q0A9PGDOFdNvv9GB9HkWKWdOs7FGNTsyzTmFkUoVufocxduZW5K7ZQ1rUKc34bSeCzJ8oMBYCTfx9h6R9z6dVvEOu27cLOwZGRQ/pn+127fesGU379hRZt2rHeZze16noy7uehPH2c9l2LjY2lfEVXBg4dqfT8Z3Ty7yMsXTCXnn0HsnarLJ6fh34untE0b92Wddt2UauuJ+NHDZPHExcXx8MH9/Dq0591W3cy4/eFBD4PYOzIIXkW05aN69i5fStjxk9i7WZf9PX1+WlwP+Lj47Nd5/ixIyyaP4c+/QexyWc39g5O/DSoH+HpjkNcXBzVqtekp3e/vAiDhmUs+KmBHWv/CaD7uv94FBzNkk7lMSmgnWV6LQ0Jy7qUp5ixHmP23OWHlVeYedifkKi0uAvqabG2hxuJyckM3+HHj6uusvDEE97HJig9nnsXT3Ny20pqtuuO9/SVFLayxXf2WGLeRWSZXt+gIDVad8Fr8mL6zFpN+TqNObj6d576XZWnMStagsY9h9Bn9mq6T1qIkUVRfGePIeZ9pFJjaeRSmJ8b27PqzDM6r7rKw7fRLO9WERODbMpGU8LK7q4UN9bjl523abP0IlMP3Cf4fVrZ9KppTYcqlsw+7E+7ZZdYdOIJPWtY09m9hFJjAWhctgi/NHVk5emndFxxmYdBUazycsP0E/Gs9nKjuLEeI31v0XLRBabsv8/bqDh5miltnKlmZ8b43Xdot/Qi/z4OY01PNwoX1FV6POdPHWP9ij/o5NWPP1b7YFPanimjB2d/DY2XXUN79BuW7TX07q1rNG3TkbnLNjH59xUkJSYyefQg4mJjlRmKWrUHvmbf33s8F8/+zbY1C2nXrQ/Tl27Bytae2b8O5V1k9t+1wkUt6eQ9BGOTrNs4f+3azIlDe/Aa9Au/r95JJ++hHNy9hWP7dygzFM6dPMaapfPp0rM/i1OO428/Z38c792+ydwp42jUvA2L1/lSrVY9po8fQcDTx4Cs02n6+BEEvXnFb7MWsHi9L4WLFuPXEQOUft4AGOjrcvvhK36albPjZl3cjD+XDODcfw9x7zSbpT6nWTGxCw2qpd3o+qGRG3N+bsuMVUeo1mUOfg9fcWD5YCxMDJUVhoItG9ex02crY36dxLotvujp6zN8UM7aN737D2LT9t3YOTgxPIv2jUeNmvTsnTftm1TKiCc0JISQkBCGjfwFn937mTh1JhcvnGf6lN/yKqx8QyJR3Sc/EB2TQr4xaNAgJBIJV65coX379jg4OODi4sLIkSO5dOlSluu8ePGCjh07YmxsjKmpKa1btyYgIED+96tXr9KwYUPMzc0xMjKiTp06XL9+XWEbEomEtWvX0rZtWwoUKIC9vT0HDhwgOxkf5Z48eTIVK1Zky5Yt2NjYYGRkRKdOnYiKShstk5yczKxZsyhVqhT6+vpUqFCB3bt3y/8eERFB165dsbCwQF9fH3t7ezZs2ADAx48fGTJkCMWKFUNPTw9ra2tmzZr1JYf2i+3ZvplmrdrTpEUbrEuV5qfRv6Grq8/Rg/uyTL935zaquNfgx269sLaxpVf/Idg5lmH/bl+FdNo6Opiamcs/eXH3EGDfzi00btGOhs3aYGVTmsE/T0BXT4/jh/Zlmd6hTFm8B42kTv0maOtk/UPyS7eZW/7atZUGzdri2bQVJW1s6T9iPLq6epw8sj/L9HZOLngN+Imano3R1tbJMk2V6rWp5FGT4iWsKF7Smq69B6OnX4CH928rMxQAfLduomXbH2jeqi2lbO34Zfwk9PT0OLh/b5bpd23finu1mnTp4Y1NqdL0HTQMBydn9uz0kadp0rwVvfoNorJ7NaXnP6Md2zbTsk1qPKUZNW4ienp6HDrwZ5bpd/tupWq1GvJ4+gwcioOTM3tT4jE0LMiC5WvxbNgEK5tSuJSrwIjR4/G/f4+3KSNclUkqlbLDZzO9+vandr362Ds4MmnabEJDgjl3+mS2623fupHW7TrQonU7SpW2Y8yvKeW6L61cO3XtQQ/vvriUr6D0OAC6uJdk3803/OUXxLPQD8w6/JC4xGRaVSiWZfpWFYtRSF+bUbvu4PfyPW/exXE98B2PgmPkabyqWfH2fRxTD/pz73UUr9/FcflZBK8i47LcZm66cmQPFes1o0KdJliUsKap909o6epy6+zRLNNbO1fEsUpNzC2tMSlSnKpN2lHYypYX/nfkaVxq1KdU2UqYFC6ORQkbGnQdQHzsB4IDnyo1lu7VrNh7/RX7b77haUgM0w8+IC4hiTauxbNM38a1OIX0tRjh68fNF+94HRnHteeRPHwbLU9ToaQxZx6E8s+jMF5HxnHiXjAXn4RT1lL5150e1a3Z899L9t14zdOQGKb+dZ/YhCTaullmmb6tmyVGBbQZ7nOLm4GyeP4LiOBhkCweXS0NGjgX5o9jj7j2PJIX4bGsOP2UF2Gx/FhV+R2t+3dto1HzttRv2pqSNrYMHPkrunrZX3fsnVzoOWAEtTwbo6Wd9TV00txl1G/SCqtSpSll58CwsVMIeRvEk4f3lBmKWrUHvmbf33s8R/b6UK9JG+o0akUJa1u8h45DV1ePs8eybpeXdnShS9/hVKvbCK1s2jgP7/lRyaMOru41sShaHPda9Snn5s5T/7vKDIU/d2yhSct2NGzeBqtSpRkyagJ6enr8nc1xPLDbh0pVq9O+S0+sbGzp3mcwpR3KcHCvrC39+kUgD+76Mfjn8TiUKUsJKxsG//wrH+PjOHviiFJjAfj7wj2mLD/IgdOfHiWZqu8PNQl4FcbYP/7E/9lbVu44x58nbzK0az15mmHdPNmw91+2HLjEg6dBDJ3hS2zcR7zaKL/9JpVK8d0ma9/USWnfTE5p35z9VPtmi6x907JNO2xL2zF2gqx981e69k3nbj3w8u5L2XJ5074B5cVT2s6eOfMXUatOPUqUtKJyVQ8GDhnO+bOnSUxMzKvwBDUgOiaFfCE8PJyjR48yePBgDAwMMv09qzkdExISaNy4MQULFuSff/7hwoULGBoa0qRJEz5+/AhAVFQUXl5enD9/nkuXLmFvb0+zZs0UOg0BpkyZQseOHfHz86NZs2Z07dqV8PCc3xl+8uQJ+/bt4+DBgxw8eJCzZ88ye/Zs+d9nzZrF5s2bWblyJXfv3mXEiBF069aNs2fPAvDbb79x7949jhw5wv3791mxYgXm5rI72YsXL+bAgQPs3LkTf39/tm3bho2NTY7z9qUSEhJ46H8ftyoe8mUaGhq4VXHn3p1bWa5z784t3Kq4Kyyr4l49U/pb1//jh2Z16PljSxbOnca7d5G5nv+MEhISePzwPhUrp+VPQ0ODipXceXA3Z42rvNhmTvf75OEDyleqqrDf8pWq8vBe7nQiJiUlcf7UMeLiYnF0zv5x6tyQkPCRhw/uUblqWgNUQ0ODylU9uHs76+/aHb+bVHb3UFjmXq0Gd/xuKjOrOZKQkMDDB/eo5K547lSu6sFdv+ziuaUQP0DVatW5k038ADHR0UgkEgwNlf8IzetXLwkLDaVKuk5ew4IFcSlbntvZHPOEhI/4379HlQzHoYp7tWzXUTYtDQlOxQpy5VnaaEIpcOVZBOVKZN1RVdvejNsv3zOmiT1Hh1fHt28Vela3QiPdnela9mbcfxPFrHbOHPupOlt7V6JNxaw7OnNTUmICb549xKasm3yZREODUmXdePXo8x07UqmUZ3euE/7mJVZOWZ/nSYkJ3Dh9CN0CBhSxLp1rec9IS1NCmeIFufw07ZorlcLlpxGUL2GU5Tp1Hc3xe/mOcc0dOTmqFrsHudO7lrVC2dx6EYm7rQlWZvoAOBQxxNXKmAuPsh69nJvxOBcvyKUM8Vx6Ek6FklnHU8/Jglsv3vFrCyfOjKnN3iHV6FPbRh6PpoYELU0NPiYmK6wXl5iEq7WxskIBUq879ylfSfF6V8HNHf9cvN59iJG1ywwLZX2McoM6tQeUtW9VxpOYkMCzRw8o66rYxinrWpVH33Cj1MG5PHdvXuXNS9njwc+fPsT/7i0qVKn+zXnOjvw4ZjhvKlbO/jg+uOOncNwB3KpW48Edv5Rtyn7b6OikjZLW0NBAW0eHu343cjuEb+ZeoRSnL/srLDv+733cy5cCQFtLE9cyJTmVLo1UKuXUZX+qpqRRptT2TdWM7Zty5bl962aW6yQkfOTB/XtU/Y7aN6nyMp7o6GgMDA3R0hKzBgo5J74tQr7w+PFjpFIpTk5Zz42VlR07dpCcnMzatWvlc8Rs2LABY2Njzpw5Q6NGjfD09FRYZ/Xq1RgbG3P27FlatGghX96zZ086d+4MwMyZM1m8eDFXrlyhSZMmOcpLcnIyGzdupGDKXBvdu3fn5MmTzJgxg/j4eGbOnMmJEyeoVk12sbC1teX8+fOsWrWKOnXqEBgYiKurK5UrVwZQ6HgMDAzE3t6emjVrIpFIsLb+9Dwy8fHxmYbsx8eDrm7OHvd6Fxkhm38sw2O/JqZmvHj+LMt1IsJCM6U3NjUjPCxU/u8qHjWoWbc+RYtZ8ubVS9atXMz4EYNYvGYLmpqaOcrb13j/ThZPxkd8jE3NeBkY8N1sMyei3kWSnJx5v0YmZrz6xv0+f/qI8UN68fHjR/T09Rk9ZR4lbWy/aZuf8y4ykqSkJEzNFOMxNTPjeUDW37XwLL5rJqZmhIcpt7MhJ95FRsjiySJ/n4onY3pTU3OFcye9+Ph4VixZQIPGzTAwVP6jTmGhofI8KeTRzIywbPIYGZFSrhnWMTEzIyBAuSPvsmNcQBstDQnhMR8VlofHfMTGrECW61ga61PZRo+jd97y0w4/SproM7qJA1qaEtb+I/uBa2miT/tKlvhcfsGGC4G4FC/Iz43sSEhK5tDtt0qL50PUO6TJyRgYmSgsNyhkQtjrF9muF/chmiVDOpGUmIBEQ4MmPYdRqlwlhTSPrl9i39LpJHyMx9DYlM5j51CgoPI6i0wKaKOloUFYtGLZhMV8xMY8m7Ix0adKKRMO+71lyLablDTVZ3xzJ7Q0NFh1VnaurT//HANdLfYNqUZSshRNDQlLTz7hsBLLRRaPDlqaWcQT/ZFS5plvvAKUMNGnaikTDvkFMWjLDUqaFmBCSye0NDVYefopHz4mcTMwkv51S/E0JIaw6HialS9KhZLGBIZ/UGo8adcdU4XlRiamuXa9S05OZt3SeZQpWxHrUna5ss2sqFN7QFn7VmU8Ue9l3zUjY8XvWiFjU16/+Pp9t+zoReyHaH7p2wENDQ2Sk5Pp4DWQGp5NvzHH2ZMfx4xtYxMzXjwPyHKdiPDQzOlNzYgIl11rS1jbYFGkGBtXLWbIL7+hp6fPvp1bCQ1+S0Q212NVKmJWiLfhigNBgsPfY1RQHz1dbUwKFUBLS5PgjGnC3uNoU0Tp+ZO3b8wytG8y/H5JT96+ybiOmRnPVdS+SZVX8URGRLB+zQratOuQC7lWL/nkiWqVER2TQr4glUq/eJ1bt27x+PFjeWdgqri4OJ48kc2N9/btWyZMmMCZM2cIDg4mKSmJDx8+EBgYqLBO+fJpI0YMDAwoVKgQwcHBOc6LjY2NQj6KFSsmX//x48d8+PCBhg0bKqzz8eNHXF1dARg4cCDt27fn+vXrNGrUiDZt2lC9uuxObs+ePWnYsCGOjo40adKEFi1a0KhRo2zzMmvWLKZMmaKw7KfRvzJyjGrnAqnXMK0BaGvnQCk7B3r80Ixb168qjM4UVKN4SRvmrdnOh5hoLp49wdI5k5i6YI3SOyeFnEtMTGDS2J+RSqX8PFY55/PRw38xZ/pk+b/nL86bl1N9jyQSiIj5yMzD/iRL4UFQNBYFdeleraS8Y1JDAvffRLH8jKwz7OHbaGwtDGjnVlypHZNfS1evAL1nriIhLpaAuzc4sW0lxoWLYe1cUZ7G2rkCvWeuIjbqHTdPH+bPJdPpOWVJpk5QVdKQSAiPSWDaX/dJlsrKoHAhXbyqW8s7Jhu5FKFZuaKM23OXJ8HROBYtyC9NHAiJiuevW0EqjkCRRCLrJJ+y/x7JUrj3OooihXTpWdOGladlPw7H7b7DtLYunBpdm8SkZO6/ieLI7SCci+f/lw+sXjSb58+eMGvJelVnRVBDl8+d4MKpowweMx1La1ueP3nI1lV/YGJmQe2GLT6/ge+ElpY2v86Yz6LZk+nUrDYamppUrOROZY8afMXPqP87Rw/9xex07Zs/luTv9o0q4omOjmbk0AGUsi1N3wHfz/sfhPxBdEwK+YK9vT0SiYQHDx7keJ3o6GgqVarEtm3bMv3NwsICAC8vL8LCwli0aBHW1tbo6upSrVo1+aPeqbQzzIEkkUhITlZ8ZOpTPrV+dLRsjqhDhw5haak4v1TqKMamTZvy/PlzDh8+zPHjx6lfvz6DBw9m3rx5uLm58ezZM44cOcKJEyfo2LEjDRo0UJijMr1x48YxcqTiSz/STYn2WUbGJmhoamZ6WUdEuOxNhlkxMTPPlD4yPCzTHbj0iluWwMjYhNcvXyi1Y7KQkSyeyIjM+ctu4ndVbDMnChoZo6GReb/vIsIw/sb9amtrU8yyJAClHcrw2P8eh/ZuZ8DIX79pu59iZGyMpqZmptGO4WFhmJlnHY9pFt+1iPCwTKMuVcHI2EQWTxb5M8vmXDA1M8+UPjw8NNO5k5iYwMSxPxMU9JpFK9YrbbRkrTqeCm/OTn10LDw8FPOUehVkZWTvmPUId2OTlHINV7xDHxGW/XFQtsgPCSQmSzE1UJyDzNRAh7AMoyhThUV/JDFZSnK6H3wBYR8wN9RFS0NCYrKU0OiPPA1VHLEWEPoBTycLlKlAQSMkGhqZXnQT8z7ikx2IEg0NTIvKrkNFbOwIfR3Ivwe2K3RM6ujpy9IUtcTS3pkVI724deYI1Vt3yWar3ybiQwKJycmYGSqWjZmBDqHRWZdNSFR8prJ5FvIBi4K6aGlKSEySMqKhHRvOP+fYHVkH8ePgGIoZ6+Fdy0apHZMRHz6SmJRFPIY6hEVn/QKC0KiPJCYnK8TzNCRGIZ6XEbH0Wv8f+toaGOhqERr9kd87luNluHJfepF23VGc3uZdRHim0etfY/Wi2Vy9+A8zF63F3EK5o6TUqT2grH2rMp6ChWTftYwvunkfGY5RNi+2yQmftYto2dGLanVlN/WtStkRGvyGAzs2Kq1jUn4cM7aNIz7RljY1z5w+w3G3d3Rm6YadxERHkZiQgJGJKSP6dcPeyTn3g/hGb8PeU8RU8cZJYdNCvIuKJS4+gdCIaBITkyicMY1ZIYLC3ud6fmrV9VR4c3ZCym/B8LAM7ZvwMOwdPtO+yTACMTwsDNNs2q3KktfxxMTE8NOgfhQwMGDOH0uynT/4/5oYMvlJYo5JIV8wNTWlcePGLFu2jJiYzL1okZGRmZa5ubnx6NEjChcujJ2dncLHyEj22NmFCxcYNmwYzZo1w8XFBV1dXUJD8/ZxB2dnZ3R1dQkMDMyUz5IlS8rTWVhY4OXlxdatW1m4cCGrV6+W/61QoUL8+OOPrFmzhh07drBnz55s58DU1dWlUKFCCp+cPsYNsg4qB8cyXP/vsnxZcnIyN/67jHPZrCdxdi5bgRvp0gNcu3Ip2/QAIcFBvH8XqfQLuba2NnYOZbh17Yp8WXJyMreuX8HJ5evmUFTGNnO639IOTty+nvYW3eTkZPyuX8XBuVyu7kuanCzvlFIWbW0dHJycuXY17eVWycnJXLt6GZdsJgwvW74i/11RfBnW1csXKVu+ojKzmiPa2tqyeK4onjvXrl7O9gUvZctXUIgf4L/LFxUmTE/tlHwZGMiC5WsxymLO3dxiYGBASStr+aeUrR1m5uZcvZyWx5joaO7e8aNcNsdcW1sHxzLOCuskJydz9cqlbNdRtsRkKQ/eRFHFxli+TAJUsTHh9susfwDdevmOEib6Cu1MK1N9eacYwK0X77A21VdYz8pUn6B3yn35jaaWNsVKORBwN+1lbtLkZALu3MDSPuc/UKXSZJISP/0Gcak0mcTPpPkWiUlS7r+OomqptMc3JRKoamuC38t3Wa5z68U7rEz1Fd5EaW1WgOCoeBKTZGWjp61JcoZhRMnJUjSU/PrKxCQp915H4W6rGI+HrSm3XmQdz43ASEqaFsgcz/u0eFLFJiQTGv2RQnpaVLcz4/SDEKXEkUp23SmD33XF653f9Ss4fsP1TiqVsnrRbC6dP820P1ZRpFjWLwbKTerUHlDWvlUZj5a2NqXsnbh7U7GNc+fmVezLfH0b52N8PBoaij+JNTQ0vupprZxKPY43MxzHm9eyP45OZcsrHHeAG/9dwqls5vQGhgUxMjHl1YvnPPa/h0fNurma/9xw+dYz6lZ1VFhW38OJy36yUe0JiUncuP+Ceu5paSQSCfWqOnDFL+vpb75FpvZN6ZT2Tbo2ZXR0NHdv+1GuQsUst6GtrYNTGWeFdVTVvsnLeKKjoxk2sA/a2trMW7jsi35XCkIq0TEp5BvLli0jKSmJqlWrsmfPHh49esT9+/dZvHixfG7G9Lp27Yq5uTmtW7fmn3/+4dmzZ5w5c4Zhw4bx8uVLQDYSc8uWLdy/f5/Lly/TtWtX9PX1M21LmQoWLMioUaMYMWIEmzZt4smTJ1y/fp0lS5awadMmACZOnMj+/ft5/Pgxd+/e5eDBg5QpUwaAP/74g+3bt/PgwQMePnzIrl27KFq0aJYvBMot7Tv34PCBPfx9aD/PA56yaO504uJiadKiDQCzp4xn7fJF8vTtOnbl6qV/2eWzicCAZ2xau5yHD+7S+odOAMR++MCqJfO5d+cWQW9ecf3qJSaOHk7xElZUdq+htDhStenYnWMH93LyyAFeBDxl+fwZxMXG0qBZawDmz5jAxlWL5ekTEhJ4+ugBTx89IDEhkbDQYJ4+esDrl4E53qaytOzQjROH/uT0sb94+fwZqxfOIj4uFs8mrQBYPGsiW9csUYjl2WN/nj32JzExgbDQYJ499ufNq7R56LauWcLdW9cJDnrN86ePUv59jdr1lTf/UqpO3bz468/dHPlrHwHPnjBv1lRiY2Np3qotANMmjmPlkgXy9B06d+PyvxfYvmUjz589Zd2qZTy4d4f2HdNGc71/F8kj//sEPJVN6RD4PIBH/vcJC1XuD3iAH7v24OC+3Rw5uJ+AZ0+YP2sasbGxNGvZBoDpE8excmlaPD90ksXju3UjzwOesn7VMh7cu0u7lHgSExP4bfRI/O/fZeL02SQnJRMWGkpYaCgJCcrrLEolkUj4sUsPNq5dxbkzp3j86CFTfhuLuUVhaterL083pH8vdvmmjV7v3K0nB/7czaED+3j29AlzZ04hLjaW5q3bytOEhYbw0P8+L1Om1njy6CEP/e8r7aVYPpdf0Ma1OM3LFcHGrABjmzqgr63BX36yt5tPbunE4LppE+7vufaaQvpa/NzIDitTfWrYmdKzujW7rr2Sp9l+5SXlLAvRs7oVJUz0aexSmLauxdn136tM+89tVZu25+bpw/id+5vQV885smERCfFxlK8jmxv5wIrZnPZdK0//734fnt2+RkTwa0JfPefyoV3cOX+CsjUaAPAxLpYzO9bx6tE93oW85c2zhxxc/TtREaGUca+j1Fi2XAykXaXitKxQlFLmBfi1uRP62prsvyErm2ltnRlaP+0FPDuvvqSQvjajmzhgZaZPLXszeteyYeeVl/I05x6G0Ke2DbXszShurEc9Jwu6VbPi1P2cT9PytTb/+5z2lSxpVbEYpSwM+K1lGfR1NNl3/TUAM9q7MLxh2lyKO668wEhfm7HNHLE2K0AtB3P61imF75W0erq6nRk17MywNNajWmlT1nlX5llojHybytS6Q1eOH/yTU0f/4sXzp6xcMJO4uFjqp1x3Fs78jS0ZrjtPH/vzNOW6Ex4azNPH/rx5lXYNXbVwNmeOH2bkrzPRL1CAiPBQIsJDiY9Xbqe+OrUH1DGepu26cPrIPs4dP8irwGdsWDKb+LhY6jRqCcCK3yfhu36pPH1iQgIBT/wJeCL7rkWEhhDwxJ+gdHPturrXZJ/vBm5cPk9I0GuuXjjNkT99qFy9rlJjafuj7DieOHKAwICnLEs5jg1Ty2b6BDauTCubVj904drlf9nru5kXz5+xbf0KHj+4R4t2neRp/jn9N343rvLm9Usu/nOaCSMH4FGrHm5Vlfcin1QG+jqUd7CkvIPsJoKNpRnlHSwpWVQ2Sn/q0FasndZdnn7N7vOUKmHGjOGtcbApQr8OtWjf0JUl207L0yzeeopebavTtaU7jqWKsHj8jxTQ12XzfsUbtsogkUjo1LUHG9aka99MkLVv6qRr3wzul6F9070n+/emtW/mzJC1b1pkbN88uM/LF7Lz6vHjhzx8oLz2jTLjSe2UjIuN5dfJ04iJiSYsNISw0BCSkpKUFo+gfsSj3EK+YWtry/Xr15kxYwY///wzb968wcLCgkqVKrFixYpM6QsUKMC5c+cYM2YM7dq1IyoqCktLS+rXr0+hQrK3rK5bt45+/frh5uZGyZIlmTlzJqNGjcrr0Jg2bRoWFhbMmjWLp0+fYmxsjJubG+PHjwdAR0eHcePGERAQgL6+PrVq1cLX1xeQdWzOnTuXR48eoampSZUqVTh8+HCmu7+5qV6DJryLiGDj2uVEhIVS2t6RWQtWyB/bCn4bpLB/l/IVGT9lNhtWL2H9ysVYlrRiypxFlCptD8juTD998ojjRw4QHRWFmXlhKrlXo1e/Iejo6GSZh9xUu35j3kVGsHX9CiLCQ7G1c2TqvOXyeELevlEYRRMeGsyw3mkNwb2+m9nru5myFSsxe/G6HG1TWWrUa8S7yAh8N6wkMiKMUqUdmDBniXzC9NDgICTpXk0bERbCqH5pnXYHdm7hwM4tuFSoxNQFslG57yIjWDJ7IhHhoRQwMMTa1p7f5iylQmXlz/1Zv1FTIiPCWbtyKeFhodg5ODF/ySr5o8xvgxTLplwFVybNmMuaFYtZvWwhJaysmTV/CbZ29vI058+eZuaUCfJ/TxonO+d79RtE7/7KnRNHFk8E69LFM2/JSoV4JOnOHVk8c1izfAmrly2iRElrZs5bLI8nJDiY8+dkjfheXX5Q2NfiletxrVwVZeveszdxsbHMnj6J6Kgoyld0Y+Gy1Qp3zF++eEFkZNpjxQ0by8p1zYolhIWFYu/oxIJlqxQe5d67ewfrVi2X/3tA7x4ATJgygxat0hr4ueX4/RCMDXToX6cUZgY6PHwbzTBfP8JjZB28RY30FObpehsVz7DtfoxoaIdP3+KERMXje/Ulmy+m/YC/9yaKX3bfZXC9UvSpZcPryFj+OP6Yo3eV3/nlXK0eH6LecW73RmLeRVDEujQ/jpmFYcqj3O/DgpFI0r5rH+PjOLphMVHhIWjp6GJWvCStBo7FuVo9ADQ0NAl9/QK/f/4mNuo9+oaFKGbrQPffFmBRwkapsfx9NxgTAx0G1rPF3FAX/6AoBm29KX9ZUTEjPYXRTW/fxzNoyw1GNXFg10B3gt/H43M5kA3nn8vTzD78kMGetoxr7oipgQ4hUfHsufZKPgelMh278xZTAx0G1y+NuaEuD95EMWDzdfm0AcWM9JCmmy3m7ft4Bmy+zi9NHdgz2IPgqHi2Xgxk/T8B8jQF9bQY3tCOIoX0eBebwIm7b1l84ol89K4y1fRszLt3EWzfuIKI8DBKlXZk0pyl8utOSHCQQr0WHhbCyL6d5f/et2ML+3bIrjszFq4B4OiBXQBMGNFXYV9Dx0yWd3gqgzq1B9Qxnmp1GhH1LpLdW1bxLiIMa1sHxkxfLH+UOyw4SP7CS5C1cX4d3E3+70N7tnJoz1bKlHNjwu+rAPAa9Au7N69kw7I5vI+MwMTMHM+m7WjXtY9SY5Efx3XZl036WJzLVeSXSTPZsmYZm1YvwbKEFRNmLsDGNu0mRkRYKGuXzpc94m1mQf0mLejk1U+pcaRyc7bm77XD5f+eO6o9AFsOXKLfpK0UNS9EyaJpI8Wfvw6j7dCVzB3VjsFd6vLqbSQDp/pw4uJ9eZrdf1/H3MSQiQObU8SsIH7+r2g9eFmmF+IoS/eevYmNjWXWNFn7poKrG4uWK7ZvXr14QWRE5vbN6hVLCAsNxcHRiYXLM7Rvdu1gbfr2jbesffPblBkKHZj5IR7/+/e4e1v2Zvj2LRVfCvvnoeMUt1T+aPf8QiKe5f4kiVSZ49QFQcgXXoRnPa9VfhSXkPO5P/OD+ET1uttYxEhP1VnINep2+dTWVK+HKBot+EfVWcg1QxqX/nyifGTBwYeqzkKuSkpSn+vOzoHKH1mVl7TUrF5TJ+8+KH9Uf14yNlCvOfXKNf5F1VnINW/+XfT5RILKGOtrqjoLeeJpiHJH/H+KrcX3//tLjJgUBEEQBEEQBEEQBEEQBCVQ8hTW+Z64jSgIgiAIgiAIgiAIgiAIQp4TIyYFQRAEQRAEQRAEQRAEQQnEgMlPEyMmBUEQBEEQBEEQBEEQBEHIc6JjUhAEQRAEQRAEQRAEQRCEPCce5RYEQRAEQRAEQRAEQRAEZRDPcn+SGDEpCIIgCIIgCIIgCIIgCEKeEyMmBUEQBEEQBEEQBEEQBEEJJGLI5CeJEZOCIAiCIAiCIAiCIAiCIOQ50TEpCIIgCIIgCIIgCIIgCEKeE49yC4IgCIIgCIIgCIIgCIISSMST3J8kkUqlUlVnQhAE1Yr4kKTqLOSaZDWr0jQ11OsqlpSsPuWjbnPFqNu5o6ulPg+FqNFpA4CaVWvCdywuIVnVWchV6tQmUKdYAHTU6JoDEJ+oPr8NilUfruos5C49Q1XnIFfFXpyt6izkicDweJXt28pUV2X7zikxYlIQBEEQBEEQBEEQBEEQlEC9bsXkPvW6tSMIgiAIgiAIgiAIgiAIQr4gRkwKgiAIgiAIgiAIgiAIghKIOSY/TYyYFARBEARBEARBEARBEAQhz4mOSUEQBEEQBEEQBEEQBEEQ8px4lFsQBEEQBEEQBEEQBEEQlEI8y/0pYsSkIAiCIAiCIAiCIAiCIAh5ToyYFARBEARBEARBEARBEAQlEC+/+TQxYlIQBEEQBEEQBEEQBEEQhDwnOiYFQRAEQRAEQRAEQRAEQchzomNSUKqNGzdibGys1H2cOXMGiURCZGSkUvej6n0KgiAIgiAIgiAIgpC/SFT4yQ/+bzome/bsiUQiQSKRoK2tTZEiRWjYsCHr168nOTlZ1dmT+x46vCZPniw/VlpaWpibm1O7dm0WLlxIfHy8yvKVnerVq/PmzRuMjIy+ehsBAQFIJBI0NTV59eqVwt/evHmDlpYWEomEgICAXNtnVmxsbFi4cGGublNZpFIpq5cvoXnD2tTxcGVIf28Cnwd8dr3dO3xo06wBtd0r4t39R+7e8VP4+749OxnYxwvPmlXwcHUmKuq9kiJQtGeHD+2aN6Suhyt9enTiXoZ8ZXTq+DE6tWtBXQ9XunVsw7/nzyn8XSqVsmbFElo2qkPdam4MG9CbF4HPlRlCpv2vWr6EZg1qU9s95+Wzy9eHNk0bUKtqRby7/cjd22nH4d27SObNnk6H1s2o7e5KqyaezJ8zg+ioKCVGop5ls3rFElo0qk2daq4MHeDNi8CAz663e4cPbZs3oI5HRXr3yPrcGdTXi/q1qlDNLW/OnT07fWjfoiH1qrnSN4dl07ldC+pVc6V7FmVz5tRxfhrUl6ae1alRyYWH/veVmf1MpFIpK5ctpnH9WtSoWpFB/Xrl6LzZ6buNlk3rU71KBby6/sid24rHYcbUSbRu3ogaVSvSoG51Rg4fTMCzp0qKIo2sHlhM0wa1qOVekcH9cxbPLt9ttG5an5pVK9Ari3rg99nT+aF1U2q5V6RlE0/m5UE9AOpVPuoUC6hXPHt2+vBDy4Z4Vnelr1cO6rUTx+jSvgWe1V3p8WMbLmao186eOs6IwX1pVr86NSu78EgF9Zoyrjnx8fH8PmsajetVw7NGJcaNGk54WKiSokijjvXa8qWLaFC3Ju6VytO/T0+e5yAe3+3baNrIk6pu5ejWuQO3M5w7vXt2p2JZR4XP9CkTlRSFjDLangB/7t7JwN5e1KtRBfeKzkS9V277poZbaXYv7M/Tv2cQe2MpLeuW/+w6tSrZ86/PGCIvL+DO/kl0a+meKU3/jrV5cGgKEZcWcG7zKCq7WCsj+1nq396DB3vHEHFmGufWDqKyc4ls02ppajDOuz53d/1CxJlpXN48nIYeDgppHuwdQ+zF2Zk+C0a1VnYogpr6v+mYBGjSpAlv3rwhICCAI0eOUK9ePYYPH06LFi1ITExUdfZISEj4brbn4uLCmzdvCAwM5PTp03To0IFZs2ZRvXp1ovLgIv0ldHR0KFq0KJJcmFHW0tKSzZs3KyzbtGkTlpaWSttnfrVl4zp2bt/KmPGTWLvZF319fX4a3O+TndfHjx1h0fw59Ok/iE0+u7F3cOKnQf0IDw+Tp4mLi6Na9Zr09O6XF2EAcOLYERb/MRfvfoPY4LMLO3tHRgzur5Cv9G7fusGk8b/QsnU7NvrspnZdT8aOHMqTx4/kabZuWseu7dv4Zfwk1m7ajp6+PiM+c3xy05aN69jps5Uxv05i3RZf9PT1GT4oZ+XTu/8gNm3fjZ2DE8PTlU9oSAghISEMG/kLPrv3M3HqTC5eOM/0Kb8pLQ51LBvZ/rcyevwk1m3K2bkjOw5z6N1vEBt9dmNv78SIwZnPHY/qNfHKo3PnxN9HWJJSNuu37cLOwZGRQ/oT8YmymfzrL7Ro044NPrupVdeTcT8P5Wm6somLjaV8RVcGDh2ZJzFktGnDWny3b2XchMls3LoDPf0CDB3Y95Nl8/fRwyyYN4e+/Qez1XcPDo6ODB3Yl/CwtONQxtmFSVNnsOvPQyxdsQapVMrgAX1ISkpSajybN65lh89Wxv46mfVbdqCvX4Bhgz4dz/Fjh1k4fw59+g9m8/Y92Ds4MmxQ33T1QDChIcEMHzma7bsPpNQD/zB9ygSlxgLqVT7qFIs6xXPy7yMsXTCXXn0HsW5rSr029NP12pRff6FF63as35ZSr41SrNdiVVyvKeuas2j+bC78c5oZcxawfM1mQkOCGTtquNLjUbd6beP6Nfhs28KvEyezxWcn+vr6DOrf+5PxHDtymPlzZ9F/4GC27/oTB0cnBvXvrXDuALT7oSMnzpyXf376ebRSY1FG2xNS2jc1atKzd960bwz0dbn98BU/zdqRo/TWxc34c8kAzv33EPdOs1nqc5oVE7vQoFoZeZofGrkx5+e2zFh1hGpd5uD38BUHlg/GwsRQWWGk7bt+eeYMa8GMdSeo1nMJfo/ecGBBbyxMDLJMP7l/I/q0qcrIPw7g2mUBa/+8xI7Z3angUFyepqb3UmyaT5d/mg1bC8Dek7eVHk9+JZGo7pMf/F91TOrq6lK0aFEsLS1xc3Nj/Pjx7N+/nyNHjrBx40Z5usjISPr06YOFhQWFChXC09OTW7duyf8+efJkKlasyKpVqyhZsiQFChSgY8eOvHv3Tp7m6tWrNGzYEHNzc4yMjKhTpw7Xr19XyI9EImHFihW0atUKAwMD+vbtS7169QAwMTFBIpHQs2dPIOuRdBUrVmTy5MnZbm/GjBkA7N+/Hzc3N/T09LC1tWXKlCmf7YjV0tKiaNGiFC9enHLlyjF06FDOnj3LnTt3mDNnjjxdfHw8o0aNwtLSEgMDA9zd3Tlz5ky2233y5AmtW7emSJEiGBoaUqVKFU6cOCH/+9SpUylbtmym9SpWrMhvv2Xd+ZFxlGnq4+PHjh2jTJkyGBoayjulP8fLy4sNGzYoLNuwYQNeXl7fvM+6devy008/KWynTZs28jKuW7cuz58/Z8SIEfIRq6nOnz9PrVq10NfXp2TJkgwbNoyYmBj535cvX469vT16enoUKVKEH3744bOxfgupVMoOn8306tuf2vXqY+/gyKRpswkNCebc6ZPZrrd960Zat+tAi9btKFXajjG/TkJPT4+D+/bK03Tq2oMe3n1xKV9BqTGk57ttE63a/kCL1m0pZWvH6F8noaunx8H9e7NMv9NnK+7VatLVyxsb29L0GzQMRydn9uzwAWTHZ6fPFnr26U/tup7YOTgyceos2fE5k/3xyS1SqRTfbbLyqZNSPpNTyufsp8pni6x8WrZph21pO8ZOkJXPXynlU9rOnjnzF1GrTj1KlLSiclUPBg4Zzvmzp5V2c0cdy2aHz+aU/ddP2f/sz+5/+7aNtGqbcu5kcxw6de1Bj159KVsub86dHVs30bLtDzRvJSubX8Z/pmy2p5RND29sSsnKxsHJmd07feRpmjRvhXe/QVRxr5YnMaQnlUrZvm0zvfsOoG7KeTN1+mxCQoI5c+pEtutt27KJNu060CrlvBk3YTJ6enocSFevtfuhI26VqlDc0hKnMi4MGjKct0FvePP6VbbbzY14fLdtxrvvgCzqgezj8UmJJ60emJyhHnBgzvzF8nqgSlUPBg75iX+UWA+kxqMu5aNOsahbPL7bNtGyTbp6bVxKO+VA1vXaLl9ZvdYlpV7rO1BWr+3JUK/16juIylVVU68p45oTHRXFX/v2MGzkGCpX9cDJ2YVfJ8/g9q0b3PG7le12cyMedavXtm3ZTN9+A6nn2QAHRyemzZxLSHAwp09mH8+WzRto90NH2rRtT+nSdkyYOAU9PT32/blHIZ2enh7m5hbyj6Gh8jrBlNX2BOjcrQde3nnXvvn7wj2mLD/IgdOfHi2dqu8PNQl4FcbYP/7E/9lbVu44x58nbzK0az15mmHdPNmw91+2HLjEg6dBDJ3hS2zcR7zaKL9eGNa5JhsOXGHLoWs8CAhm6Nx9xMZ/xKtF5SzTd2nixtxNpzl20Z+A1+Gs+fMyx/71Z3jnWvI0oZExvA2Pln+a1XDiyctQ/rmh/BH6gnr6v+qYzIqnpycVKlRg7960yq9Dhw4EBwdz5MgRrl27hpubG/Xr1yc8PFye5vHjx+zcuZO//vqLo0ePcuPGDQYNGiT/e1RUFF5eXpw/f55Lly5hb29Ps2bNMo02nDx5Mm3btuX27dtMmTKFPXtkFxR/f3/evHnDokWLviie9Nvz9vbmn3/+oUePHgwfPpx79+6xatUqNm7cKO+0/BJOTk40bdpU4VgNGTKEixcv4uvri5+fHx06dKBJkyY8evQoy21ER0fTrFkzTp48yY0bN2jSpAktW7YkMDAQAG9vb+7fv8/Vq1fl69y4cQM/Pz969eqV47x++PCBefPmsWXLFs6dO0dgYCCjRo367HqtWrUiIiKC8+fPA7IOwYiICFq2bKm0fabau3cvJUqUYOrUqbx580beqfnkyROaNGlC+/bt8fPzY8eOHZw/f54hQ4YA8N9//zFs2DCmTp2Kv78/R48epXbt2jne79d4/eolYaGhCp0HhgUL4lK2PLf9bma5TkLCR/zv36OKu4d8mYaGBlXcq2W7Tl5IzVfldLHI8uWRbeP6zu2bCnEAuFerwZ2UOFKPT+V0aQwLFsS5bHmlNthTpe6/asbyKVee27duZrlOQsJHHty/R9UvLJ/o6GgMDA3R0tLKrewr5EldyybjuSPb/80s1/nUuZPdOsqWkPAR/wf3qFJVsWwqV/Xgzu2sj+Ndv5sKxx1kZXNXhed/eq+yOW/KlivP7Wy+G7Lz5i7uHorHoapHNfyyiSv2wwcO7N+LpWUJihQtmqsxpPfpeuDT8VTJdM59rh6IUlo9kEqdykedYgH1iSch4SMPH2S+5lSu6sHd7K45fjepXDWLa87tm7mev6+hrGvOg/t3SUxMVNiuTSlbihYtptQ2ndrVay9fEhoagnu16vJlBQsWpFz5Cty6dSPLdRISPnL/3l3cPdLW0dDQwN2jOn4Z1jly6C/q1nSnfZsWLF4wn9jYWOUEQt62Pb837hVKcfqyv8Ky4//ex718KQC0tTRxLVOSU+nSSKVSTl32p2pKGmXR1tLE1dGSU1cfK+776mOqls36UXIdHU3iPip2yMfGJ1C9gk22++jU2JVNB//LtXyrI4kK/8sPlFfT5iNOTk74+cnuiJw/f54rV64QHByMrq4uAPPmzWPfvn3s3r2bfv1kQ8jj4uLYvHmz/BHfJUuW0Lx5c+bPn0/RokXx9PRU2Mfq1asxNjbm7NmztGjRQr68S5cuCh1uz549A6Bw4cJf9dKYjNvz9vZm7Nix8hF/tra2TJs2jdGjRzNp0qQv3r6TkxN///03AIGBgWzYsIHAwECKF5cN7R41ahRHjx5lw4YNzJw5M9P6FSpUoEKFtLtd06ZN488//+TAgQMMGTKEEiVK0LhxYzZs2ECVKlUA2YjFOnXqYGtrm+N8JiQksHLlSkqXLg3IOlCnTp362fW0tbXp1q0b69evp2bNmqxfv55u3bqhra2ttH2mMjU1RVNTk4IFC1I0XYN71qxZdO3aVT7a0t7ensWLF1OnTh1WrFhBYGAgBgYGtGjRgoIFC2JtbY2rq2u2+4mPj8/0SEV8kpb8+54TYaGhKXk2V4zBzIywbOYXioyIJCkpKdM6JmZmBASo7u5aZGRqvswUlpuamvE84FmW64SFhmJippjexMyMsJRHaFLnWMrq+ISHKn/+JXn5mGXYv6lZtvM/ycsn4zpmZjzPpnwiIyJYv2YFbdp1yIVcZ7F9dSybT+w/LJv9px2HzOWZXdkomzxPGY61qZkZgdmVTVholmUZFpb1I5J5LfX4m2WKyZyw0JAs10k7bzIfh4Bnisdh1w6flB+GH7C2KcWyVevQ1tbJxQgUpdUDGY+5OWFhXx5PdudcWj3QMRdynT11Kh91igXUJ553X3HNCQ8LxSRDehNTs0yP1KqKsq45YWGhaGtrU7BgIYU0JmbmSp1nUt3qtdCU8yPzuZN9+URERJCUlJRpHTMzM4X5V5s2b0Hx4sWxsCjMw4f+LFowj4CAZ/yxaGkuRyGTV23P71ERs0K8DVccfBQc/h6jgvro6WpjUqgAWlqaBGdME/YeR5siSs2buXHqvqMz5C8aR2uLLNc5cfkRwzrV4vyNZzx9FU69yqVpXdcFTY2sx7S1quOMsaEeWw9dy/X8C/8//u9HTILsrkHqY7O3bt0iOjoaMzMzDA0N5Z9nz57x5MkT+TpWVlYK8w5Wq1aN5ORk/P1ld0Levn1L3759sbe3x8jIiEKFChEdHS0fGZiqcuWsh1B/rYzbu3XrFlOnTlWIpW/fvrx584YPHz588fbTH6vbt2+TlJSEg4ODwvbPnj2rcKzSi46OZtSoUZQpUwZjY2MMDQ25f/++wnHp27cv27dvJy4ujo8fP+Lj44O3t/cX5bNAgQLyDkKAYsWKERwcnKN1vb292bVrF0FBQezatSvH+/6WfX7KrVu32Lhxo8Ixbty4McnJyTx79oyGDRtibW2Nra0t3bt3Z9u2bZ8s21mzZmFkZKTwWTBv9ifzcPTwX9SrXkn++R7mZBXSHD30F3WrVZJ/8qJ8oqOjGTl0AKVsS9N3wGCl7y+/Onb4LzxrVJJ/xLnz/Thy6C9qeVSSfxITc3ee54yaNmvJth17WL1+M1bWNoz9ZUSuzmt69NBf1KlWSf5RdjwgqwdGDB1AKVs7+uVyPaBO5aNOsYD6xaNO1O2ao2712qGDB6hWxVX+UWb5/NDhR6rXqIW9gyPNW7Ri+sw5nDp5nBcZfot+LVW0PYW8MWrBXzx5Ecot3595f246C35uzeZD10iWSrNM79WiCscuPeRN6Pf1HgohfxEjJoH79+9TqpRsGHV0dDTFihXLcp7ELxnB6OXlRVhYGIsWLcLa2hpdXV2qVavGx48fFdIZGGQ96WxGGhoaSDNUBlm93Cbj9qKjo5kyZQrt2rXLlFZPTy9H+04v47HS1NTk2rVraGpqKqTLbg6TUaNGcfz4cebNm4ednR36+vr88MMPCselZcuW6Orq8ueff6Kjo0NCQsIXz5mYcYSjRCLJdPyyU65cOZycnOjcuTNlypShbNmy3Lx585v3mdMyzCg6Opr+/fszbNiwTH+zsrJCR0eH69evc+bMGf7++28mTpzI5MmTuXr1apbf2XHjxjFypOIE7B+SPl0V1KrjiUvZtDfSJSTIyis8PBRzi7S7beFhYdg7OmW5DWMTYzQ1NQkPV7xrGhEWhlmGO6V5ydg4NV+KoxvCw8My3cFNZWZuTkSG0RCyOGR3r1PX+5Lj8y1q1fXEpVy68kk5n8LDMuw/PAx7h8+UT4a72uFhYZiaKx6HmJgYfhrUjwIGBsz5YwlaORhR/DXUoWxq1vHEOYfnjkN2545x1udOeLjqzh15njIc66y+L6nMzMyzLMuMoz7ySu26npRNd96kXofCwsIwtygsXx4eFoqDY5lM60P68ybzcTDLcBwMCxbEsGBBrKxtKFe+AvVqenD61AmaNG2eK/FkrAc+yuuBDPGEh+Lg8O3xxMTEMHxQXwoYFGCuEuoBdSofdYpFHeNJZfSJa052da2pmXmmF+NEhIdlGp2XV/LqmmNmZk5CQgJRUe8VRk1GhIVme33+GupWr9Wt50m5dHOopz93LBTOnezLx8TEBE1NzUxPG4SFhWGezfUXoFzK/IwvXjynpJXVV8eQKq/bnt+zt2HvKWJaUGFZYdNCvIuKJS4+gdCIaBITkyicMY1ZIYLClPuG8dDIDyn7VvxtXtjUkKCw6GzWiaHj2C3o6mhhZlSA1yHvmT6oCc9ehWdKa1XUGM8qdnQat1Up+Vcr+eOJapX5vx8xeerUKW7fvk379u0BcHNzIygoCC0tLezs7BQ+6Sv7wMBAXr9+Lf/3pUuX0NDQwNHREYALFy4wbNgwmjVrhouLC7q6uoTm4DFBHR3ZoykZ3zZoYWGh8CKV9+/fyx/7/hQ3Nzf8/f0zxWJnZ4dGNsOxs/PgwQOOHj0qP1aurq4kJSURHBycadtFs5n758KFC/Ts2ZO2bdtSrlw5ihYtSkBAgEIaLS0t+UtoNmzYQKdOndDX1/+ivH4rb29vzpw588UjNT8lYxkmJSVx584dhTQ6OjqZyt7NzY179+5lWYap3xctLS0aNGjA3Llz8fPzIyAggFOnTmWZD11dXQoVKqTw+dxj3AYGBpS0spZ/StnaYWZuztXLl+RpYqKjuXvHj3LlK2a5DW1tHRzLOCusk5yczNUrl7JdJy+k5uvaFcV8/XflMmWzeQFP2XIV+S9deoArly9SNiWO4pYlMDM3578rl+V/j4mO5t4dv2y3+S0ylU/plPJJl8fo6Gju3vajXIWKWW5DW1sHpzLOCutkVT7R0dEMG9gHbW1t5i1c9kVTAHwptSyblHMnfR7T9l8xy22kHof/Mh2HS9muo2za2jo4Ojnz31XFPF27ejnbyeldyldUKEuAq5cv4qKiGDKWjW3pzPVadHQ0d277KfyQTE923rhwJWO9dvkS5T8Rl1QKUqTyH3JKjSfLeuDT8WSsB/7Loh4YOrA32trazF+4XCn1gDqVjzrFoo7xpM+Tg1Pma861q5ezfSFf2fIVFepBkNVrZctVzPX85UReXXOcyrigpaWlkOZ5wDOCgt7kaptO/eo1Q6ysrOWf0qXtMDe34Mqliwr5uO13iwoVsp6WSVtbhzLOLly5nLZOcnIyVy5fpHw26wA8eHAfAHPzrB/f/fJY8q7t+b27fOsZdas6Kiyr7+HEZT/Zb/WExCRu3H9BPfe0NBKJhHpVHbji9/nf898iITGJG/6vqFfZTnHfle24cuf5J9eN/5jI65D3aGlq0KZeWQ7+cy9Tmu7NKxMcEc2Rfx/ket6F/y//VyMm4+PjCQoKIikpibdv33L06FFmzZpFixYt6NGjBwANGjSgWrVqtGnThrlz5+Lg4MDr1685dOgQbdu2lT8qraenh5eXF/PmzeP9+/cMGzaMjh07yjvk7O3t2bJlC5UrV+b9+/f88ssvOepcs7a2RiKRcPDgQZo1a4a+vj6GhoZ4enqyceNGWrZsibGxMRMnTsw0SjErEydOpEWLFlhZWfHDDz+goaHBrVu3uHPnDtOnT892vcTERIKCgkhOTiYsLIwzZ84wffp0KlasyC+//AKAg4MDXbt2pUePHsyfPx9XV1dCQkI4efIk5cuXp3nzzHey7e3t2bt3Ly1btkQikfDbb7+RnJycKV2fPn0oU0Z25/PChQufjTO39e3blw4dOnzVPJ/Z8fT0ZOTIkRw6dIjSpUvzxx9/yN/qncrGxoZz587RqVMndHV1MTc3Z8yYMXh4eDBkyBD69OmDgYEB9+7d4/jx4yxdupSDBw/y9OlTateujYmJCYcPHyY5OVneSa4MEomEH7v0YOPaVZS0sqa4ZQlWL1+MuUVhaterL083pH8v6tRrQIdOXQHo3K0n0yaOo4xzWZzLlmOHz2biYmNp3rqtfJ2w0BDCwkJ5mfKoyZNHDylgYECRosUwMjJWSjydunoxfdJ4nJxdcHYpxw6fLcTFxtKilSxfU38bh0XhwgwcOgKAjl26MahvT3y2bKR6zdqcOHaEB/fuMGbCZPnx6dilO5vWrqKklRXFi5dg9YolsuNTt3522cg1EomETl17sGFNWvmsWiYrnzrpymdwv17U9UxXPt17MvW3tPLx3SYrnxYp5ZPaKRkfF8eUGXOIiYkmJkZ2t9XYxDRHddKXUseySX/uFCtegjUrFmfaf6Zzp2tPpk0ah5NzWVxcyuGbcu6kHgdId+68yJtz58duXsyYNB6nMi44ly3HzpSyaZ6Sp2kTx2Fuka5sOndjcN+ebE8tm79TyubXyfJtvn8XSVDQG0JDZPNuBT4PAGSjc8xy6cdUdiQSCZ279mDdmpWUtLbG0rIEK5YtxsKiMHU9G8jTDewrO29+7Cwrm67dvZj82zicXcriUrYcPls3ExsbS8s2suPw8uULjh87gke1GpiYmPD27Vs2rl+Dnq4uNWoq70VlqfXA+jUr5fXASnk9kBbPoJR6oGPKd61Ldy+mpNQDLin1QGymeqA3cXFxTJ0xl+iYaKJT6gETJdUDqfGoS/moUyzqFk+nrl7MmCy75pRxkdVrsbGxNG+ZVq9ZFC7MgCGyeq1Dp24M6deT7VsVrzmjx0+Wb/P9u0jeZlGvmeZRvaaMa45hwYK0bNOexfPnUKiQEQYGhsyfO4Oy5Ssq5SZf+njUrV7r2r0Ha1avwCrl3Fm2dBEWhQtTr35aPP16e+FZvyGdunQDoHuPXvz26xicXcpStmx5tm3dRGxsLK3byJ6QexEYyJHDf1GzVh2MjI159NCfeXNmUalylWxHYuZGLMpoe0JK+yY0rX3z+PFDDAoYUKSYcto3Bvo6lC6Zdm7aWJpR3sGSiPcfeBEUwdShrShe2Ig+v20BYM3u8wzoVJsZw1uzaf8l6lZxoH1DV9oOWynfxuKtp1gztTvX7gXy350AhnSpRwF9XTbvv5Rp/7lt8fbzrPmtA9cevOS/uy8Y0qkmBfR02HxQNifk2okdeR3yjokrjgFQxbkkxS0KcevRGywtCvFrnwZoSCT8sfWswnYlEgk9mldi2+HrJCVl/j0vKBIDJj/t/6pj8ujRoxQrVgwtLS1MTEyoUKECixcvxsvLSz56UCKRcPjwYX799Vd69epFSEgIRYsWpXbt2hQpkjY5rZ2dHe3ataNZs2aEh4fTokULli9fLv/7unXr6NevH25ubpQsWZKZM2fm6A3NlpaWTJkyhbFjx9KrVy969OjBxo0bGTduHM+ePaNFixYYGRkxbdq0HI2YbNy4MQcPHmTq1KnMmTMHbW1tnJyc6NOnzyfXu3v3LsWKFUNTUxMjIyOcnZ0ZN24cAwcOVLiDuGHDBqZPn87PP//Mq1evMDc3x8PDQ+EFP+n98ccfeHt7U716dXmn2/v3mYew29vbU716dcLDw3F3d/9snLlNS0vrk49DfA1vb29u3bpFjx490NLSYsSIEdSrV08hzdSpU+nfvz+lS5cmPj4eqVRK+fLlOXv2LL/++iu1atVCKpVSunRpfvzxR0D2yM3evXuZPHkycXFx2Nvbs337dlxcXHI1/xl179mbuNhYZk+fRHRUFOUrurFw2WqF78fLFy+IjIyQ/7th46ZERoSzZsUSwsJCsXd0YsGyVQqPSO3dvYN1q9LOpQG9ZTcNJkyZodAJk5sayPO1lPCUfP2xdJX8caS3QW/Q0Ei7nJSr4MqUGXNZvXwxq5YupISVNbP/WEJpO3t5mm5esuMzZ/pk+fH5Y+kqpY4wTK97z97ExsYya5qsfCq4urFouWL5vHrxgsiIzOWzesUSwkJDcXB0YuHytPLxv3+Pu7dlLwpr37KJwv7+PHSc4unm3c0t6lg23bxkZZP+3FmwNEPZvHzBu3TnToPGTYmICGdt+nMn3XEA+HP3DtatTjt3BvZJOXcmz5B3FuamBo1kZbN2ZUrZODgxf4li2aTOSQyyspk8Yy6rVyxm1TJZ2cyavwTbdGXzz9nTzJwyQf7vSeNk103vfoPo3V/5c5l69epDXGwsM6dOIirqPRVd3Vic4bx5+TJQoV5r1KQZERERrFy+OOW8KcOS5avl542uji43rv/H9q2bef/+PWZmZrhWqsy6zduV/rhnj54p8UybRHTU+2zqgcAM9YAsntUr0uJZlC4e//v3uJNSD7Rr2Vhhf/sOnVBKPZBKncpHnWJRp3jqZ6jX7LKo1zJecybNmMua5YtZvWwhJUpaM2ueYr12/lyGem28rF7r1Tdv6jVlXXOG/zwWiUSDcb8MJ+FjAu7VavDLuN+UHo+61Ws9vfsSGxvLtMkTiYp6j6tbJZavXKsQz4sXL4hIF0/jps2IiAhnxdLFhIaG4OhUhuUr18ofTdfW1ubypYts27KZ2NgPFClajPoNG9G3/yClxQHKaXsC7N21g7Xpfxt4y9o3v02ZodCBmVvcnK35e+1w+b/njpI9LbjlwCX6TdpKUfNClCxqKv/789dhtB26krmj2jG4S11evY1k4FQfTly8L0+z++/rmJsYMnFgc4qYFcTP/xWtBy/L9EIcZdh90g9zEwMm9mko2/ej17QesZ7gCFnne8kixiQnp003pqurxaT+jShV3JTo2I8cu+hP7yk7eBcdp7Bdzyp2WBUzEW/jFnKFRJrTifcEucmTJ7Nv374czTsofB2pVIq9vT2DBg3KNB+ikPsiPiR9PlE+kd3EzPmVpoZ63V9LSlaf8pGo2b1PdTt3dLXUZ7YaNTptAFCzak34jsUlqNcoHnVqE6hTLAA6anTNAYhPVJ/fBsWqD/98ovxEL+t3OeRXsRc//RJWdfH2vfJf3pWdIoWU8z6A3PR/NWJSyB9CQkLw9fUlKCiIXr16qTo7giAIgiAIgiAIgiAIX0WiXvdicp3omBS+O4ULF8bc3JzVq1djYmKi6uwIgiAIgiAIgiAIgiAISiAe5RYEQTzK/R1Tt0edxKPc3y91O3fEo9zfLzWr1oTvmHiU+/ulTrGAeJT7eyYe5f6+/b88yh0SlaiyfVsU/P7HI6pXDSoIgiAIgiAIgiAIgiAIQr7w/XedCoIgCIIgCIIgCIIgCEJ+pF6DxHOdGDEpCIIgCIIgCIIgCIIgCEKeEx2TgiAIgiAIgiAIgiAIgiDkOdExKQiCIAiCIAiCIAiCIAhKIFHh50stW7YMGxsb9PT0cHd358qVK59Mv2vXLpycnNDT06NcuXIcPnz4i/cpOiYFQRAEQRAEQRAEQRAE4f/Yjh07GDlyJJMmTeL69etUqFCBxo0bExwcnGX6f//9l86dO9O7d29u3LhBmzZtaNOmDXfu3Pmi/UqkUqk0NwIQBCH/iviQpOos5JpkNavSNDXUa6bkpGT1KR+Jms1irW7njq6W+tx7VaPTBgA1q9aE71hcQrKqs5Cr1KlNoE6xAOio0TUHID5RfX4bFKs+XNVZyF16hqrOQa6KvThb1VnIE2ExiSrbt5lBzt957e7uTpUqVVi6dCkAycnJlCxZkqFDhzJ27NhM6X/88UdiYmI4ePCgfJmHhwcVK1Zk5cqVOd6vetWggiAIgiAIgiAIgiAIgiAQHx/P+/fvFT7x8fGZ0n38+JFr167RoEED+TINDQ0aNGjAxYsXs9z2xYsXFdIDNG7cONv02cl516kgCEI+oG6j2ITvl0TdvmpqNipPnaoCNQpF+N6JL9t3Te2uO2pElM13TM1GGBIXreocCPnMrFmzmDJlisKySZMmMXnyZIVloaGhJCUlUaRIEYXlRYoU4cGDB1luOygoKMv0QUFBX5RH0TEpCIIgCIIgCIIgCIIgCEqgysEz48aNY+TIkQrLdHV1VZSbrImOSUEQBEEQBEEQBEEQBEFQM7q6ujnqiDQ3N0dTU5O3b98qLH/79i1FixbNcp2iRYt+UfrsiDkmBUEQBEEQBEEQBEEQBEEJJBLVfXJKR0eHSpUqcfLkSfmy5ORkTp48SbVq1bJcp1q1agrpAY4fP55t+uyIEZOCIAiCIAiCIAiCIAiC8H9s5MiReHl5UblyZapWrcrChQuJiYmhV69eAPTo0QNLS0tmzZoFwPDhw6lTpw7z58+nefPm+Pr68t9//7F69eov2q/omBQEQRAEQRAEQRAEQRCE/2M//vgjISEhTJw4kaCgICpWrMjRo0flL7gJDAxEQyPtwevq1avj4+PDhAkTGD9+PPb29uzbt4+yZct+0X4lUqlU3d7DKQjCF4r4kKTqLOQadavRNNRswo2kZPUpIA01ewWnOpUNgK62+pw86lavqdeZo2bUrHDiPiarOgu5SktTfQpI3a6h6nTNAYhLUJ/fBsU8f1V1FnKXmr2VO/bGUlVnIU+o8ve2SQFNle07p9SrBhUEQRAEQRAEQRAEQRAEIV8Qj3ILgiAIgiAIgiAIgiAIghKo2SDxXCdGTAqCIAiCIAiCIAiCIAiCkOfEiElBEARBEARBEARBEARBUAKJuk3inMvEiMnvnEQiYd++fbm2vTNnziCRSIiMjMy1bX5K3bp1+emnn5S6j549e9KmTRul7uN72KcgCIIgCIIgCIIgCII6ER2TSnDx4kU0NTVp3rz5N2/rzZs3NG3aNBdylXM2NjZIJBIkEgn6+vrY2NjQsWNHTp06laf5yKlFixaxcePGb9rG5MmTkUgkNGnSJNPffv/9dyQSCXXr1s3VfWaU153G30oqlbJ6+RKaN6xNHQ9XhvT3JvB5wGfX273DhzbNGlDbvSLe3X/k7h0/hb/v27OTgX288KxZBQ9XZ6Ki3ispAkVSqZTVK5bQolFt6lRzZegAb14EBnx2vd07fGjbvAF1PCrSu0fmeOLj4/l91jQa16uGZ41KjBs1nPCwUCVFkUYqlbJq+RKaNahNbfecl88uXx/aNG1AraoV8e72I3dvp8Xz7l0k82ZPp0PrZtR2d6VVE0/mz5lBdFSUEiORxbJmxRJaNqpD3WpuDBvQmxeBzz+73p4dPrRr3pC6Hq706dGJe1mUzbxZ02hSrzr1a1RmfB6WjbqcO3t2+tC+RUPqVXOlbxbHOKNTx4/RuV0L6lVzpXvHNvx7/pzC38+cOs5Pg/rS1LM6NSq58ND/vjKzn4lUKmXlssU09qxFjSoVGdS3V47KZqfvNlo2qU/1yhXw6vIjd24rHocZUyfRulkjalSpSIM61Rk5bDABz54qKYo0qfE0qV+LmlUrMqhfzuNp1bQ+NapUoGfXzPXA77Om075VU2pWrUiLxp7Mm638egDSlU/9WtT4wnhaNq1P9SoV8OqaTfk0b0SNqhVpULc6I4crv3zUKRZQr3Nnz04ffmjZEM/qrvT1ykG9duIYXdq3wLO6Kz1+bMPFDPXa2VPHGTG4L83qV6dmZRceqaBeU5drDqS2bxbTtEEtarlXZHD/nH3Xdvluo3XT+tSsWoFeWbRvfp89nR9aN6WWe0VaNvFkXh60b0AWz7Ili6hfpyZV3crTr3dPnucgHl+fbTRt6EkV13J07dSB236Zv6e3bt6gT68euFeuSPWqbvTq0ZW4uDglRCGjTm1PgP7tPXiwdwwRZ6Zxbu0gKjuXyDatlqYG47zrc3fXL0ScmcblzcNp6OGgkObB3jHEXpyd6bNgVGulxlHDrTS7F/bn6d8ziL2xlJZ1y392nVqV7PnXZwyRlxdwZ/8kurV0z5Smf8faPDg0hYhLCzi3eRSVXayVkX3h/4TomFSCdevWMXToUM6dO8fr168/mVYqlZKYmJhp+cePHwEoWrQourq6Ssnnp0ydOpU3b97g7+/P5s2bMTY2pkGDBsyYMSPP8/I5RkZGGBsbf/N2ihUrxunTp3n58qXC8vXr12NlZaWUfeZnWzauY+f2rYwZP4m1m33R19fnp8H9iI+Pz3ad48eOsGj+HPr0H8Qmn93YOzjx06B+hIeHydPExcVRrXpNenr3y4sw5LZuWseu7VsZPX4S6zblLJ4Tx46w+I859O43iI0+u7G3d2LEYMV4Fs2fzYV/TjNjzgKWr9lMaEgwY0cNV3o8WzauY6fPVsb8Ool1W3zR09dn+KCclU/v/oPYtH03dg5ODE9XPqEhIYSEhDBs5C/47N7PxKkzuXjhPNOn/KbUWGRls41fxk9i7abt6OnrMyJHZTMX736D2OCzCzt7R0YM7q9QNovnz+HCP2eYPucPlq3ZREhICOPyqmzU4Nw58fcRlqQc4/XbdmHn4MjIIf2JSJen9G7fusHkX3+hRZt2bPDZTa26noz7eShPHz9KiyE2lvIVXRk4dGSexJDRpg1r8fXZyrjfJrNx2w709AswdEDfT5bN30cPs+D3OfQdMJitO/bg4OjI0AF9CQ9LOw5lnF2YNHUGu/YdYumKNUilUgb370NSUpJS49m8YS07tm9l3ITJbNi6A339Agwd+Pl4Fs6bQ5/+g9niuwd7R0eGDkyLJyQ4mJCQYIaPHI3vngNMmjqTixf+YdrkCUqNBVLKJyWejVtTyicH8SyYN4e+/Qez1TelfAZmUz5/piufAcotH3WKRR6PGpw7J/8+wtIFc+nVdxDrtqbUa0M/Xa9N+fUXWrRux/ptKfXaKMV6LVbF9Zq6XHNSbd64lh0+Wxn762TWb5HVa8MGffq7dvzYYRbOl9Vrm7fvwd7BkWGD+qZr3wQTmlKvbd99IKV98w/Tpyi/Xtuwbg3bt21hwqTJbN2+E319fQb26/3JeI4eOcy8ubPoP2gwvrv+xNHRiYH9exOW7tyooyD7AADIBklEQVS5dfMGg/r3oVr1mmzz3YXPjt106tIVDQ3l/fxXp7bnD/XLM2dYC2asO0G1nkvwe/SGAwt6Y2FikGX6yf0b0adNVUb+cQDXLgtY++cldszuTgWH4vI0Nb2XYtN8uvzTbNhaAPaevK3UWAz0dbn98BU/zdqRo/TWxc34c8kAzv33EPdOs1nqc5oVE7vQoFoZeZofGrkx5+e2zFh1hGpd5uD38BUHlg/GwsRQWWHkexKJ6j75geiYzGXR0dHs2LGDgQMH0rx580yj6lJHxR05coRKlSqhq6vL+fPnqVu3LkOGDOGnn37C3Nycxo0bA4qPclevXp0xY8YobC8kJARtbW3OnZPdnd2yZQuVK1emYMGCFC1alC5duhAcHPzFcaSub2VlRe3atVm9ejW//fYbEydOxN/fX57uzp07NG3aFENDQ4oUKUL37t0JDc1+xNGn8ieVSrGzs2PevHkK69y8eROJRMLjx4+z3GbGx6rr1q3LsGHDGD16NKamphQtWpTJkyd/NubChQvTqFEjNm3aJF/277//Ehoammn065fuMyAgAIlEws2bN+XLIiMjkUgknDlzhoCAAOrVqweAiYkJEomEnj17ApCcnMysWbMoVaoU+vr6VKhQgd27d8u3ExERQdeuXbGwsEBfXx97e3s2bNjw2Xi/hVQqZYfPZnr17U/tevWxd3Bk0rTZhIYEc+70yWzX2751I63bdaBF63aUKm3HmF8noaenx8F9e+VpOnXtQQ/vvriUr6DUGNJLjadnn/7UrlsfOwdHJk5NiefMJ+LZtpFWbVPisbVj9K+T0NXT4+B+WTzRUVH8tW8Pw0aOoXJVD5ycXfh18gxu37rBHb9bSo3Hd5usfOqklM/klPI5+6ny2SIrn5Zt2mFb2o6xE2Tl81dK+ZS2s2fO/EXUqlOPEiWtqFzVg4FDhnP+7Oksb7DkViw7fbaklI1nStnM+mzZ+G7bRKu2P9CiddtPls3QkaPTlc10bt+6qfSyUZdzZ8fWTbRs+wPNW8mO8S/jFY9xRju3b8W9Wk269vDGplRp+g0ahoOTM7t3+sjTNGneCu9+g6jiXi1PYkhPKpWyfetmevcdQN2Uspk6YzYhIcGcOXUi2/W2bd5Em/YdaJVy3oz7bTJ6+nocSFc27X7oiFvlKhS3tMTJ2YVBQ4fzNugNb16/Um482zbj3XeAvB6YMj2lHvhEPD5bNtGmXbp4JkxGTy8tHjt7B+b+sZjadWX1QBV3DwYO/Yl/lFgPpI9HoXym56B8PhMPpJRPpZTyKePCoCHKLR91ikUej5qcO77bNtGyTbp6bVxKXXsg63ptl6+sXuuSUq/1HSir1/ZkqNd69R1E5aqqqdfU5ZoDae2b9PVaWvvm8/VaWvtmcob2jQNz5i+Wt2+qVPVg4JC8qde2bdlM3/4DqefZAAdHJ6bPmktIcDCnTmYfz5ZNG2j3Q0fatG1PaTs7Jkyagp6eHvv27pGn+X3OLDp37U7vvv2ws7PHppQtjZs0Q0dHR2mxqEvbE2BY55psOHCFLYeu8SAgmKFz9xEb/xGvFpWzTN+liRtzN53m2EV/Al6Hs+bPyxz715/hnWvJ04RGxvA2PFr+aVbDiScvQ/nnhnJHgf994R5Tlh/kwOlPj/5O1feHmgS8CmPsH3/i/+wtK3ec48+TNxnatZ48zbBunmzY+y9bDlziwdMghs7wJTbuI15t8r6eE9SD6JjMZTt37sTJyQlHR0e6devG+vXrkUqlmdKNHTuW2bNnc//+fcqXlw2n3rRpEzo6Oly4cIGVK1dmWqdr1674+voqbG/Hjh0UL16cWrVklV5CQgLTpk3j1q1b7Nu3j4CAAHkH17caPnw4UqmU/fv3A7KONU9PT1xdXfnvv/84evQob9++pWPHjtlu41P5k0gkeHt7Z+pU27BhA7Vr18bOzi7Hed20aRMGBgZcvnyZuXPnMnXqVI4fP/7Z9by9vRU6k9evX0/Xrl1zdBH/2n0ClCxZkj17ZI0Jf39/3rx5w6JFiwCYNWsWmzdvZuXKldy9e5cRI0bQrVs3zp49C8Bvv/3GvXv3OHLkCPfv32fFihWYm5vnaL9f6/Wrl4SFhip0HhgWLIhL2fLc9ruZ5ToJCR/xv3+PKu4e8mUaGhpUca+W7Tp5Jbt4nMuW585XxJO6zoP7d0lMTFTYrk0pW4oWLabUmFPjqZqxfMqV5/atrPebkPCRB/fvUfULyyc6OhoDQ0O0tJTzLrXUWCqny1da2WTdgZhaNpXTxS+LxUO+TnZlU6RosWzLPDeoy7mTkPAR/wf3qFJV8RhXrurBndtZl8tdv5sK5QjgXq0Gd1V8/qd6lXreeCiWTdly5bl9K/vv2oP7d3H3UDwOVd2r4ZfNuRb74QMH9u3F0rIERYoWzdUY0nv1iXrA7xPnzoP7dxWOgYaGBlU9PlcPRCm1HoDs4ylbrjy3PxNPpvLxqIZfNvHEfvjAgf3KLR91igXU59xJSPjIwweZrx2Vq3pwN5tyueN3k8pVM9drd27fzPX8fQ11ueak+nT75tPftSqZ2gTfQb328iWhoSG4e1SXLytYsCDlylfA79aNLNdJ+PiR+/fu4lEtbR0NDQ08PKrL1wkLC+O23y1Mzczo0bUT9WpXx9urG9ev/ae0WNSp7amtpYmroyWnrqYNipFKpZy6+piqZbN+XFlHR5O4j4odpbHxCVSvYJPtPjo1dmXTQeWVyddyr1CK05f9FZYd//c+7uVLASnHp0xJTqVLI5VKOXXZn6opaYTMJCr85AeiYzKXrVu3jm7dugHQpEkT3r17J+9ASm/q1Kk0bNiQ0qVLY2pqCoC9vT1z587F0dERR0fHTOt07NiR169fc/78efkyHx8fOnfujCRljK63tzdNmzbF1tYWDw8PFi9ezJEjR4iOjv7m2ExNTSlcuDABAQEALF26FFdXV2bOnImTkxOurq6sX7+e06dP8/Dhwyy38bn89ezZE39/f65cuQLIOjJ9fHzw9vb+oryWL1+eSZMmYW9vT48ePahcuTInT2Z/ty5VixYteP/+PefOnSMmJoadO3fmeN9fu08ATU1N+fegcOHCFC1aFCMjI+Lj45k5cybr16+ncePG2Nra0rNnT7p168aqVasACAwMxNXVlcqVK2NjY0ODBg1o2bJltvuKj4/n/fv3Cp9PPWKRlbCUUbGmpoodoKZmZoRlM0dfZEQkSUlJmdYx+cQ6eSV1/1nGk80I4MjIrOMxNU2LJywsFG1tbQoWLKSQxsTMXKlzGcrLxyxz3rLbr7x8Mq5jZkZ4dscgIoL1a1bQpl2HXMh11sI/UTbZ5kteNmaK66SLPzybsvnUdzg3qMu5Iz/GZhmO8SfKJSwsNMsySf/omSqllo1ZppjMCQsLyXKdtPMm83HIWHfs8vWhlnslanlU4t/z/7Bs9Tq0tZUzcgWyj8fMzJyw0G+PJ22dCNatXkHb9tnflMwNnyyfXIhn1w4fanlUola1lPJZpbzyUadYQH3OnXefuHZkV9eGh4VikiG9iamZwuPoqqQu15xUae2bjGWUO9+1tHVS2zfKrddCU853M/OM9bRZtk+gRURGkJSUlEXdnrbOq5cvAFi5bCntfujA8lVrKVPGOcfzV34NdWp7mhsXQEtLk+Bwxd/PweHRFDXL+lHlE5cfMaxTLUqXMEMikeBZxY7WdV0oalYwy/St6jhjbKjH1kPXcj3/36qIWSHehivO4Rkc/h6jgvro6WpjbmKYcnwypAl7T1EzxXa1IOSU6JjMRakdap07dwZAS0uLH3/8kXXr1mVKW7ly5mHglSpV+uT2LSwsaNSoEdu2bQPg2bNnXLx4ka5du8rTXLt2jZYtW2JlZUXBggWpU6cOIOu8yg1SqVTeCXrr1i1Onz6NoaGh/OPk5ATAkydPslz/c/krXrw4zZs3Z/369QD89ddfxMfH06HDl118UkehpipWrFiOHmnX1tamW7dubNiwgV27duHg4JBpW7m9z095/PgxHz58oGHDhgrHefPmzfJjPHDgQHx9falYsSKjR4/m33///eQ2Z82ahZGRkcJnwbzZn1zn6OG/qFe9kvyjzEcn8sKxw3/hWaOS/JPf4zl66C/qVqsk/+RFPNHR0YwcOoBStqXpO2Bwrm332OGD1K9RWf7J92WjZueOOjly6C9ZZ0fKJzExQan7a9q8Jdt27mH1+s1YWdswdtSIL74p9ClHDv1FbY9K8o+y4wFZPfDTkAGUsrWjXy7WA5BSPh6V5B+ll0+zlmzbka58fsm98lGnWED9zh11om7XnKOH/qJOtUryT17VayOGKqdeO3TwAB6VXeUfZZVPcnIyAD90/JE2bdtTpowzv4wdj02pUgqPe38LdWp75oZRC/7iyYtQbvn+zPtz01nwc2s2H7pGchZPTgJ4tajCsUsPeROq/Jf4CEJ+oLyx6f+H1q1bR2JiIsWLp01yK5VK0dXVZenSpRgZGcmXGxhknjg3q2UZde3alWHDhrFkyRJ8fHwoV64c5cqVAyAmJobGjRvTuHFjtm3bhoWFBYGBgTRu3Fj+Mp1vERYWRkhICKVKyYZoR0dH07JlS+bMmZMpbbFixTIty2n++vTpQ/fu3VmwYAEbNmzgxx9/pECBAl+UV21tbYV/SyQS+UX6c7y9vXF3d+fOnTtfNFLzU/tMnWg6/WP4CQmfb1yljiQ9dOgQlpaWCn9LfSlS06ZNef78OYcPH+b48ePUr1+fwYMHZ5qrM9W4ceMYOVJxAvYPSZ+uCmrV8cSlbFrHa0KCrLzCw0Mxt7CQLw8PC8Pe0SnLbRibGKOpqUl4uOId0IiwMMzMlPvoeUY163jinMN4HLKLxzjreMLD0+IxMzMnISGBqKj3CiPzIsJCM90d/ha16nriUi5dPCnnU3hYhnjCw7B3+Ez5ZLirHR4WhmmGqQFiYmL4aVA/ChgYMOePJWhl+O5/i5p16uFStpz83x9TzpMv+q7Jy0ZxxEp4eJj8uJtmUzbhufx9VLdzR56n1GOcYVRQVt+XVGZm5lmWScZRH3mldl1PyqY7b1KvQ2FhYZhbFJYvDw8LxcGxTKb1If15k/k4mGU4DoYFC2JYsCBW1jaUq1CBejU8OH3yBE2aKc5hrOx4wnIpnpiYGIYN6ksBgwL8viB36wFQcfmUr0C9mh6cPnWCJk2/vXzUKRaVx6OEcyeV0SeuHdnVtaZm5plejBMRHpZpdF5eUbdrTsb2zUd5+ybDdy08FAeH3KnXhqfUa3NzuX0DULeeJ+XKpc3J+TGlfMJCw7BQqKfDcHTKunxMjE3Q1NTM9LRBWFiYfCqn1LK2LV1aIU0p29IEvfn0i1lzSp3anhmFRn4gMTGJwqaKoyMLmxoSFJb1U4ihkTF0HLsFXR0tzIwK8DrkPdMHNeHZq/BMaa2KGuNZxY5O47YqJf/f6m3Ye4qYKo70LGxaiHdRscTFJxAaEZ1yfDKkMStEUNj7vMxq/pJfnqlWETFiMpckJiayefNm5s+fz82bN+WfW7duUbx4cbZv354r+2ndujVxcXEcPXoUHx8fhdGSDx48ICwsjNmzZ1OrVi2cnJy+ecReeosWLUJDQ0P+0hc3Nzfu3r2LjY0NdnZ2Cp+sOllzmr9mzZphYGDAihUrOHr06Bc/xv2tXFxccHFx4c6dO3Tp0iVXtmmRcoF+8+aNfFn6F+EA8nks079p0tnZGV1dXQIDAzMd45IlSyps38vLi61bt7Jw4UJWr16dbV50dXUpVKiQwudzb343MDCgpJW1/FPK1g4zc3OuXr4kTxMTHc3dO36UK18xy21oa+vgWMZZYZ3k5GSuXrmU7TrKkl08/11RjOfeHT/Kfiae9OskJyfz35VL8nWcyrigpaWlkOZ5wDOCgt7kasyZ4imdUj7p9hsdHc3d236Uq5B9PE5lnBXWyap8oqOjGTawD9ra2sxbuOyz352viaWElbX8U8q2dErZXJanSSubrCfcTy2ba5nK5rJ8nezK5m3Qm2zL/GvjUadzRyFPTs78d1UxT9euXqZsuazLxaV8RYUyAbh6+SIuKoohY9nYls5cNtHR0dy57Ue5Ctl/15zKuHAlY9lcvkT5bM41AKkUpEjlnQZ5Gc/d236U/8S541TGJfN37XLmemDogN5oa2vzx6LluV4PfEk8d277Ue4z8WRZPp/43snLJxdu6qpbLF8cTz44d9LnycEp87Xj2tXL2b7gpWz5igr1IMjqtbLlKuZ6/nJC3a452X7XsmzffKZey6K9lqleGyir1+YvVFa9ZoiVtbX8U7q0HebmFly+fFEhH7f9blG+gmvW8ejoUMbZhcuX0tZJTk7m8uWL8nUsLUtgUbgwAc+eKaz7PCCAYsUVBzp8fSzq0/bMKCExiRv+r6hXOe39BhKJhHqV7bhy5/kn143/mMjrkPdoaWrQpl5ZDv5zL1Oa7s0rExwRzZF/H+R63nPD5VvPqFtVcVq5+h5OXPaTfZ8SEpO4cf8F9dzT0kgkEupVdeCKn+J3ThBySoyYzCUHDx4kIiKC3r17K4yMBGjfvj3r1q1jwIAB37wfAwMD2rRpw2+//cb9+/flj40DWFlZoaOjw5IlSxgwYAB37txh2rRpX7WfqKgogoKCSEhI4NmzZ2zdupW1a9cya9Ys+UtoBg8ezJo1a+jcubP8bdSPHz/G19eXtWvXoqmpqbDNnOZPU1OTnj17Mm7cOOzt7alWLe/f7nXq1CkSEhIwNjbOle3p6+vj4eHB7NmzKVWqFMHBwUyYMEEhjbW1NRKJhIMHD9KsWTP09fUpWLAgo0aNYsSIESQnJ1OzZk3evXvHhQsXKFSoEF5eXkycOJFKlSrh4uJCfHw8Bw8epEyZrO8a5xaJRMKPXXqwce0qSlpZU9yyBKuXL8bcojC169WXpxvSvxd16jWgQydZB3rnbj2ZNnEcZZzL4ly2HDt8NhMXG0vz1m3l64SFhhAWFsrLlMf7nzx6SAEDA4oULYaRkXGexFOseAnWrEiJp+4n4unak2mTxuHkXBYXl3L4psTTopUsHsOCBWnZpj2L58+hUCEjDAwMmT93BmXLV8y2Uy234unUtQcb1qSVz6plsnjqpCufwf16UdczXTzdezL1t7Ty8d2WEk9K+aQ2DOPj4pgyYw4xMdHExMjuHBubmGY653Mrlo5durNp7SpKWllRvHgJVq9Ykqlshvb3pk69+vyQEkunrl5MnzQeJ2cXnF3KscNnSzZlM1deNn/MnZknZaMu586P3byYMWk8TmVccC5bjp0px7h5yjGeNnEc5haFGTh0BAAdO3djcN+ebN+ykeo1a3Pi7yM8uHeHMb9Olm/z/btIgoLeEBoim3crMGUuLDMzc8zMLVAmiURC5249WLd6JSWtrLG0LMGKZYuxsChMXc8G8nQD+/Sibv0G/NhZVjZde3gxecI4nJ3L4lKuHD5bNxMbG0vLNrLj8PLlC44fPYJH9RqYmJjw9u1bNq5bg56uLjVq1lZuPF17sH7NSkpay+JZmVoPpI+nby/qeTagY0o8Xbp7MeW3cZRxKYtL2XJszxBPaqdkXFwcU2fOJTommuiUesBESfVA+njWpYsny/LpK6vX5OXT3YvJv43DOSWeLMvn2BE8qqUrn/XKLR91ikUej5qcO526ejFjsuzaUcZFVq/FxsbSvGVavWZRuDADhsjqtQ6dujGkX0+2b02p147J6rXR4yfLt/n+XSRvs6jXTPOoXlOXa05qPJ1S67WUeOT1Wr2079qglPZNx04Z6jVn2bnju032XVNs36TUazPytl7r2r0Ha1atwNrKGssSJVi2ZBEWhQvjWT8tnr7eXnjWb0jnrrL3GHT36sVv48fg4lKWsuXKs3XLJmJjY2nTtp18uz179WbFsiU4Ojrh6FSGA/v/JODZU+YvWKy0WNSl7QmwePt51vzWgWsPXvLf3RcM6VSTAno6bD4omxNy7cSOvA55x8QVxwCo4lyS4haFuPXoDZYWhfi1TwM0JBL+2Kr4rgmJREKP5pXYdvg6SUk5e5rvWxno61C6ZFpdY2NpRnkHSyLef+BFUARTh7aieGEj+vy2BYA1u88zoFNtZgxvzab9l6hbxYH2DV1pOyzt5byLt55izdTuXLsXyH93AhjSpR4F9HXZvP9Spv0LMhIxZPKTRMdkLlm3bh0NGjTI1CkJso7JuXPn4ufnlyv76tq1K82aNaN27dpYWVnJl1tYWLBx40bGjx/P4sWLcXNzY968ebRq1eqL9zFx4kQmTpyIjo4ORYsWxcPDg5MnT1KvXj15muLFi3PhwgXGjBlDo0aNiI+Px9ramiZNmsgfXU7vS/LXu3dvZs6cSa9evb4477khJ4/Vf6n169fTu3dvKlWqhKOjI3PnzqVRo0byv1taWjJlyhTGjh1Lr1696NGjBxs3bmTatGlYWFgwa9Ysnj59irGxMW5ubowfPx6QjbQcN24cAQEB6OvrU6tWLXx9fXM9/xl179mbuNhYZk+fRHRUFOUrurFw2WqFu5gvX7wgMjJC/u+GjZsSGRHOmhVLCAsLxd7RiQXLVik8GrR39w7WrVou//eA3j0AmDBlhrxTSRm6efUmNkM8C5YqxvPq5QvepYunQeOmRESEszZ9PEtXKTymPfznsUgkGoz7ZTgJHxNwr1aDX8b9prQ4UnXvKYtn1jRZPBVc3Vi0PEM8L14QGZG5fFavWEJYaCgOjk4sXJ5WPv7373H3tqwea9+yicL+/jx0nOKWuXMXPqNuXrLv2pzpk+Vl88fSVZnKJjIyUv7vBvLv2lLCU8rmjwxlM+znMUgkEsb/8pO8bEaNU7xhoAzqcu40aCTL09qVKcfYwYn5S9KO8dugN/I5iQHKVXBl8oy5rF6xmFXLFlLCyppZ85dga2cvT/PP2dPMnJJWBpPGjQLAu98gevdX/nxSXr36EBcby8ypk4iKek9FVzcWr8hQNi8DFc6bRk2aERERwcrli1POmzIsWbFaXja6OrrcuP4f27du5v3795iZmeFaqTLrNm9X+uOePXr1ITYlnuio91RwdWNxxnrgZaDCd61Rk2ZERkSwKl08i5evVqgH7qTUA21bNFbY3/7DJ5RWD0A25bM8i/KJ/Ez5LFd9+ahTLNnGkw/PnfoZ6jW7LOo1DQ3Fem3SjLmsWb6Y1csWUqKkNbPmKdZr589lqNfGy+q1Xn3zpl5Tl2tOqh49U75r09Lqtcztm8AM7RvZd231irTv2qJs6rV2LRXrtX2HlFuv9erdl9jYWKZOnkhU1Htc3SqxfNXaT5ZPk6bNiAgPZ/nSxYSGhuDoVIblq9YqPJrerUdP4uM/8vvcWbx79w5HRydWrllPyXS/HXObOrU9d5/0w9zEgIl9GlLErCB+j17TesR6giNknaIlixiTnJw2RZeurhaT+jeiVHFTomM/cuyiP72n7OBddJzCdj2r2GFVzCRP38bt5mzN32uHy/89d1R7ALYcuES/SVspal6IkkVN5X9//jqMtkNXMndUOwZ3qcurt5EMnOrDiYv35Wl2/30dcxNDJg5sLjs+/q9oPXhZphfiCEJOSaTSbGZkFQQV+ueff6hfvz4vXrygSJEiqs6O2ov4kPT5RPmEutVoWfTx52tJyepTQBoS9brzqU5lA6CrrT4nj7rVa+p15qgZNSucuI95MyIpr2hpqk8Bqds1VJ2uOQBxCerz26CY56+qzkLuist6nsv8KvbGUlVnIU/EfFRdY85A5/uvb8WISeG7Eh8fT0hICJMnT6ZDhw6iU1IQBEEQBEEQBEEQBEFNqdetHSHf2759O9bW1kRGRjJ37lxVZ0cQBEEQBEEQBEEQBEFQEtExKXxXevbsSVJSEteuXcNSifO5CIIgCIIgCIIgCIIgKJtEhZ/8QHRMCoIgCIIgCIIgCIIgCIKQ58Qck4IgCIIgCIIgCIIgCIKgDPll6KKKiBGTgiAIgiAIgiAIgiAIgiDkOdExKQiCIAiCIAiCIAiCIAhCnhOPcguCIAiCIAiCIAiCIAiCEkjEs9yfJEZMCoIgCIIgCIIgCIIgCIKQ58SISUEQBEEQBEEQBEEQBEFQAokYMPlJYsSkIAiCIAiCIAiCIAiCIAh5TyoIgqBkcXFx0kmTJknj4uJUnZVcIeL5fqlTLFKpiOd7pk6xSKUinu+ZOsUilYp4vmfqFItUKuL5nqlTLFKpiEcQvpVEKpVKVd05KgiCenv//j1GRka8e/eOQoUKqTo730zE8/1Sp1hAxPM9U6dYQMTzPVOnWEDE8z1Tp1hAxPM9U6dYQMQjCN9KPMotCIIgCIIgCIIgCIIgCEKeEx2TgiAIgiAIgiAIgiAIgiDkOdExKQiCIAiCIAiCIAiCIAhCnhMdk4IgKJ2uri6TJk1CV1dX1VnJFSKe75c6xQIinu+ZOsUCIp7vmTrFAiKe75k6xQIinu+ZOsUCIh5B+Fbi5TeCIAiCIAiCIAiCIAiCIOQ5MWJSEARBEARBEARBEARBEIQ8JzomBUEQBEEQBEEQBEEQBEHIc6JjUhAEQRAEQRAEQRAEQRCEPCc6JgVBEARBEARBEARBEARByHOiY1IQBEEQBEEQBEEQBEEQhDwnOiYFQRBy6PHjxxw7dozY2FgApFKpinP09RITEzlx4gSrVq0iKioKgNevXxMdHa3inH2ZqVOn8uHDh0zLY2NjmTp1qgpyJKirly9fZvu3S5cu5WFOhKx4enoSGRmZafn79+/x9PTM+wx9A29vb3m9nF5MTAze3t4qyFHu+PjxI/7+/iQmJqo6K98sMjKStWvXMm7cOMLDwwG4fv06r169UnHOhCdPnjBhwgQ6d+5McHAwAEeOHOHu3bsqzpmgzt6/f8++ffu4f/++qrMiCPmSRJqff1kLgvDd+/jxI8+ePaN06dJoaWmpOjtfJSwsjB9//JFTp04hkUh49OgRtra2eHt7Y2Jiwvz581WdxS/y/PlzmjRpQmBgIPHx8Tx8+BBbW1uGDx9OfHw8K1euVHUWc0xTU5M3b95QuHBhheVhYWEULlyYpKQkFeXs6yxevDjL5RKJBD09Pezs7Khduzaampp5nLOvExMTw+zZszl58iTBwcEkJycr/P3p06cqytmXc3Z25vz585iamiosv3DhAs2bN8+yU+x7NnLkyCyXp/+utW7dOlO83ysNDQ2CgoIy1QXBwcFYWlqSkJCgopx9uezqtdDQUIoWLZrvOvY+fPjA0KFD2bRpE4D8mjN06FAsLS0ZO3asinP4Zfz8/GjQoAFGRkYEBATg7++Pra0tEyZMIDAwkM2bN6s6izmmbtecs2fP0rRpU2rUqMG5c+e4f/8+tra2zJ49m//++4/du3erOotfbMuWLaxcuZJnz55x8eJFrK2tWbhwIaVKlaJ169aqzt43i4yMxNjYWNXZ+GIdO3akdu3aDBkyhNjYWCpUqEBAQABSqRRfX1/at2+v6ix+kU2bNmFubk7z5s0BGD16NKtXr8bZ2Znt27djbW2t4hwKak8qCIKgBDExMVJvb2+ppqamVFNTU/rkyROpVCqVDhkyRDpr1iwV5+7LdO/eXdq4cWPpixcvpIaGhvJYjh49KnV2dlZx7r5c69atpd26dZPGx8crxHP69GmpnZ2dinP3ZSQSiTQ4ODjT8pMnT0rNzc1VkKNvY2NjIzUwMJBKJBKpqamp1NTUVCqRSKQGBgbSIkWKSCUSibR06dLSwMBAVWc1Rzp16iQtVqyYdPTo0dIFCxZIFy5cqPDJT3r16iWtVKmS9P379/JlZ8+elRYqVEj6xx9/qDBnX6du3brSQoUKSQ0MDKRubm5SNzc3qaGhodTIyEjq7u4uNTY2lpqYmEjv3r2r6qx+0q1bt6S3bt2SSiQS6enTp+X/vnXrlvT69evSmTNnSq2trVWdzRx59+6dNDIyUiqRSKSPHz+Wvnv3Tv4JDw+Xbtq0SVqsWDFVZ/OLDRs2TFqpUiXpP//8IzUwMJBfc/bt2yetWLGiinP35erXry/95ZdfpFKpVOEaeuHChXzzXUulbtccDw8P6fz586VSqWLZXL58WWppaanKrH2V5cuXS83NzaXTp0+X6uvry+PZsGGDtG7duirO3ZebPXu21NfXV/7vDh06SDU0NKTFixeX3rx5U4U5+3JFihSR53nbtm1SOzs7aUxMjHT58uX5sl5zcHCQnjx5UiqVSqX//vuvtECBAtJVq1ZJW7ZsKW3btq2Kcyf8PxAdk4IgKIU6/RBJ3/hI39B98uSJ1MDAQJVZ+yqmpqbSBw8eSKVSxXiePXsm1dfXV2XWciy100RDQ0P+/6mfQoUKSTU0NKSDBg1SdTa/mI+Pj7Ru3brSx48fy5c9evRI6unpKfX19ZW+ePFCWqNGDWn79u1VmMucMzIykp4/f17V2cgVSUlJ0rZt20rr1KkjjYuLk546dUpqaGiY7zpYUy1YsEDarl076bt37+TLIiMjpT/88IN04cKF0piYGGnr1q2ljRo1UmEuP08ikUg1NDSkGhoaUolEkulToEAB6bp161SdzRxJH0tWH01NTen06dNVnc0vZmVlJb148aJUKlW85jx69EhasGBBVWbtqxQqVEheR6ePJyAgQKqrq6vKrH0xdbvmGBgYSJ8+fSqVSjO3b/Jb2UilUmmZMmWkf/75p1QqVYzn9u3bUjMzMxXm7OvY2NhIL1y4IJVKpdK///5bamxsLD127Ji0d+/e0oYNG6o4d19GT09P3mHfvXt36ZgxY6RSqVT6/PnzfPnbQF9fX/r8+XOpVCqVjh49Wtq9e3epVCqV3rlzJ1/e6Bfyn/z5XKUgCN+9ffv2sWPHDjw8PJBIJPLlLi4uPHnyRIU5+3IxMTEUKFAg0/Lw8HB0dXVVkKNvk5ycnOUjzi9fvqRgwYIqyNGXW7hwIVKpFG9vb6ZMmYKRkZH8bzo6OtjY2FCtWjUV5vDrTJgwgT179lC6dGn5Mjs7O+bNm0f79u15+vQpc+fOzTePCJmYmOSbR4E/R0NDA19fX5o3b46npyd+fn7MmjWLIUOGqDprX+X333/n+PHjFCpUSL7MyMiIyZMn06hRI4YPH87EiRNp1KiRCnP5ec+ePUMqlWJra8uVK1ewsLCQ/01HR4fChQvnm8dQT58+jVQqxdPTkz179iicOzo6OlhbW1O8eHEV5vDrhISEZHosHWTX1vTtg/xCV1eX9+/fZ1r+8OFDhe9ffqBu1xxjY2PevHlDqVKlFJbfuHEDS0tLFeXq6z179gxXV9dMy3V1dYmJiVFBjr5NUFAQJUuWBODgwYN07NiRRo0aYWNjg7u7u4pz92VKlizJxYsXMTU15ejRo/j6+gIQERGBnp6einP35QwNDQkLC8PKyoq///5bPt2Lnp6efG59QVAm0TEpCIJSqNMPkVq1arF582amTZsGyOZeSk5OZu7cudSrV0/FuftyjRo1YuHChaxevRqQxRMdHc2kSZNo1qyZinOXM15eXgCUKlWK6tWro62treIc5Y43b95kOX9cYmIiQUFBABQvXjzLF2N8j6ZNm8bEiRPZtGlTlp373zs/P79MyyZPnkznzp3p1q0btWvXlqcpX758Xmfvm7x7947g4GCcnZ0VloeEhMg7XYyNjfn48aMqspdj1tbWJCQk4OXlhZmZWb6eB6tOnTqArDOiZMmSaGioxzsqK1euzKFDhxg6dCiAvA2wdu3afHkDqVWrVkydOpWdO3cCsngCAwMZM2ZMvunAS6Vu15xOnToxZswYdu3aJW+rXbhwgVGjRtGjRw9VZ++LlSpVips3b2aq144ePUqZMmVUlKuvZ2JiwosXLyhZsiRHjx5l+vTpgOxlkvltTvCffvqJrl27YmhoiJWVFXXr1gXg3LlzlCtXTrWZ+woNGzakT58+uLq68vDhQ/nvgbt372JjY6PazAn/F0THpCAISqFOP0Tmzp1L/fr1+e+///j48SOjR4/m7t27hIeHc+HCBVVn74vNnz+fxo0b4+zsTFxcHF26dOHRo0eYm5uzfft2VWfvi9SpU4fk5GQePnyY5ctVateuraKcfZ169erRv39/1q5dKx8lcePGDQYOHCh/s/Dt27czjQb5Xs2fP58nT55QpEgRbGxsMnUgX79+XUU5y5mKFSsikUiQpntPYOq/V61axerVq5FKpUgkknz3o6p169Z4e3szf/58qlSpAsDVq1cZNWoUbdq0AeDKlSs4ODioMJc5o62tzZ9//snEiRNVnZVcYW1tTWRkJFeuXMmyXstvHSwzZ86kadOm3Lt3j8TERBYtWsS9e/f4999/OXv2rKqz98Xmz5/PDz/8QOHChYmNjaVOnToEBQVRrVo1ZsyYoersfRF1u+bMnDmTwYMHU7JkSZKSknB2diYpKYkuXbowYcIEVWfvi40cOZLBgwcTFxeHVCrlypUrbN++nVmzZrF27VpVZ++LtWvXji5dumBvb09YWBhNmzYFZN85Ozs7FefuywwaNIiqVavy4sULGjZsKL+RZGtrK+9wzU+WLVvGhAkTePHiBXv27MHMzAyAa9eu0blzZxXnTvh/IN7KLQiCUpw/f56mTZvSrVs3Nm7cSP/+/RV+iFSqVEnVWfwi7969Y+nSpdy6dYvo6Gjc3NwYPHgwxYoVU3XWvkpiYiI7duxQiKdr167o6+urOmtf5NKlS3Tp0oXnz5+T8XKWHzuLgoKC6N69OydPnpR34iUmJlK/fn22bNlCkSJFOH36NAkJCd/9I7YAU6ZM+eTfJ02alEc5+TrPnz/Pcdr8NlIvOjqaESNGsHnzZvmIKS0tLby8vFiwYAEGBgbcvHkTkHXQfu+8vLyoWLEiI0aMUHVWvtlff/1F165diY6OplChQgpPGUgkEsLDw1WYu6/z5MkTZs+erXDNGTNmTL4cWZTqwoULCvE0aNBA1Vn6Yup2zUn14sULbt++TXR0NK6urtjb26s6S19t27ZtTJ48WT4NUvHixZkyZQq9e/dWcc6+XEJCAosWLeLFixf07NlT3hm+YMECChYsSJ8+fVScwy/38eNHnj17RunSpdHSEmO+BOFriY5JQRCURh1/iAjfl4oVK+Lg4MCUKVMoVqxYpmkC0s89mZ88ePCAhw8fAuDo6Iijo6OKcySoq+joaJ4+fQrIRnoYGhqqOEdfZ/r06cyfP5/69etTqVIlDAwMFP4+bNgwFeXsyzk4ONCsWTNmzpyZL6dAEPIfcc35/n348IHo6Ogsp0kS8t6HDx8YOnQomzZtAmRzzNra2jJ06FAsLS0ZO3asinP45f755x9WrVrF06dP2bVrF5aWlmzZsoVSpUpRs2ZNVWdPUHOiY1IQBOEzNmzYgKGhIR06dFBYvmvXLj58+CCf7zC/mDVrFkWKFMHb21th+fr16wkJCWHMmDEqytmXMzAw4NatW/nuEaD/N9euXeP+/fuA7AVYWU3mnx88evSI06dPZ/l4rbo8RpxffepRU4lEIu98zQ8MDAy4ffs2tra2qs5Krjh8+DCampo0btxYYfmxY8dITk6WP86ZXwwbNgw7O7tMnd1Lly7l8ePHLFy4UDUZE2jfvj1Vq1bN1I6ZO3cuV69eZdeuXSrK2dd59uwZiYmJmUZ8Pnr0CG1t7Xw399+mTZswNzenefPmAIwePZrVq1fj7OzM9u3b89WTB8OHD+fChQssXLiQJk2a4Ofnh62tLfv372fy5MncuHFD1Vn8Inv27KF79+507dqVLVu2cO/ePWxtbVm6dCmHDx/m8OHDqs6ioOZEx6QgCEqR1RsrQfYDUVdXFx0dnTzO0ddzcHBg1apVmV50c/bsWfr164e/v7+KcvZ1bGxs8PHxoXr16grLL1++TKdOnXj27JmKcvblPD09GT16NE2aNFF1VnJFUlISGzdu5OTJk1l2fp06dUpFOfs6wcHBdOrUiTNnzmBsbAxAZGQk9erVw9fXN1+9wXbNmjUMHDgQc3NzihYtmunx2u99vsyMYmJimD17drbftfzUkadu2rVrR6dOnejYsaOqs5Irypcvz+zZszO9XO3o0aOMGTOGW7duqShnX8fS0pIDBw5kmpLm+vXrtGrVipcvX6ooZ19O3a45FhYWnDp1KtOTObdv36ZBgwa8fftWRTn7OnXq1MHb2zvTDfCtW7eydu1azpw5o5qMfSVHR0dWrFiBp6cnFy9epEGDBixYsICDBw+ipaXF3r17VZ3FHLO2tmbHjh14eHhQsGBBbt26ha2tLY8fP8bNzS3b30HfK1dXV0aMGEGPHj0U4rlx4wZNmzaVvwxLEJRFTIQgCIJSGBsbf/Lt2yVKlKBnz55MmjTpu3/zaGBgYJajcaytrQkMDFRBjr5NUFBQlnNjWlhY8ObNGxXk6OsNHTqUn3/+maCgIMqVK5fp5Sr57U3Jw4cPZ+PGjTRv3pyyZcvmuzfYZzR06FCioqK4e/eu/A2i9+7dw8vLi2HDhuWrly1Nnz6dGTNm5KsRxZ/Sp08fzp49S/fu3bOcBiE/S73nnl9jat68Ob/88gv37t3Lsl5r1aqVinL2dR49epTp7e8ATk5OPH78WAU5+jZhYWFZThNSqFAhQkNDVZCjr6du15zo6Ogsb3xra2vnu44ikL0UpkaNGpmWe3h4MGTIEBXk6Nu8ePFC/oTLvn37aN++Pf369aNGjRryt1rnFyEhIVk+Vh8TE5MvzyN/f/8sXxhpZGREZGRk3mdI+L8jOiYFQVCKjRs38uuvv9KzZ0+qVq0KyN7wumnTpv+xd+dxNebv/8Bfp0ilVWRvUyiVorHvaxhFhiiSMPYMFT5MlmwxE9lGobQgW5aMdVSisiVKkhaRraQklaQ6vz/6db6OU1Ti3X26no/HPKbu+/7j1UOdc5/rfr+vC3/++ScyMzPx999/o1GjRli+fDnjtF+nqqqK2NhYkS0zMTExgql1XNK2bVtERESIFFsjIiLQqlUrRqlqZty4cQAgtC29fGoyF4ffHD58GEePHhVZWcRVFy5cwOXLlwVFSQDQ09PDrl27ODVIAQDevn0r0s6By86fP4+zZ89W+KGXq/z8/PDXX38hKSkJQNlqdycnJ0yZMoVxsuqZOXMmAMDFxUXkHBdf1xQVFfH48WOR99Dk5GSRXqBcoK2tjQsXLogUhs6fP8+57ffi9p5jYGCAI0eOiLTWOHz4cIXF8bqOx+Ph/fv3IsffvXvHudcBAJCTk0NWVhbU1NRw6dIlLF68GAAgLS2NDx8+ME5XPSYmJjh79iwWLFgA4P8ehO3btw89e/ZkGa1GWrRogeTkZJHX6fDwcM69rhFuosIkIeSH8PX1hZubm9BWtNGjR8PAwACenp4IDg6Gmpoa1q9fX+cLk5MmTYK9vT3k5eUFTxPDwsKwcOFCTJw4kXG66ps5cyb++OMPfPr0CYMGDQIABAcHY8mSJXBwcGCcrnq4tO28KqSkpMSqX2ZpaanIai+gbPXKl1sG67rx48fj0qVLmD17NusotUJZWRlNmjRhHaPWbNmyBc7Ozpg/f76g2BoeHo7Zs2fjzZs3nJrWzbW/jW8xNzfHH3/8gZMnT6Jdu3YAyoqSDg4OnFv9CQCLFy/G/PnzkZmZKfQe6ubmxrn+kuL2nuPs7AwLCwukpKQI/dsEBARwrr8kAPTr1w8bN25EQEAAJCUlAZRtv9+4cSMnh5EMHToUM2bMgLGxMRITEwUF8QcPHnCuX+aGDRswYsQIxMfHo7i4GNu2bUN8fDwiIyMRFhbGOl61zZw5EwsXLoS3tzd4PB5evnyJ69evw9HREc7OzqzjkXqAekwSQn4IGRkZxMbGVtiwu3PnzigoKEBqaio6deqEgoICRimrpqioCFOmTMGxY8fQoEHZ85zS0lLY2NjAw8ODU/0ygbJtjsuWLcP27dtRVFQEoOxp9dKlS2mAB2Nubm54/Pgxdu7cycmtQF8yNzdHTk4OAgICBKtxX7x4AWtraygrK+PkyZOME1bdxo0bsWXLFowaNarC7bVcmvoMlPUoO336NHx9fcVi8rOmpibWrFkDGxsboeO+vr5YvXo1Zx9iFBYWQlpamnWM7/Lu3TuYmpoiKioKbdq0AQA8f/4cffv2xYkTJwT9Z7lk9+7dWL9+PV6+fAmgrHfz6tWrRX7/6jpxe88BgLNnz2LDhg24d+8eZGRkYGhoiFWrVqF///6so1VbfHw8+vXrByUlJfTt2xdA2eTk3NxchISEQF9fn3HC6snJycGff/6JZ8+eYc6cOYL+4KtWrYKUlBRWrFjBOGH1pKSkwNXVFTExMcjLy0OXLl2wdOlSkR6nXMDn87FhwwZs3LhR8LmsUaNGcHR0xNq1axmnI/UBFSYJIT9E+/btYWFhAVdXV6Hjy5Ytw8mTJ/Ho0SNERUXB3NwcL168YJSyehITExETEwMZGRkYGBhwanpgRfLy8vDw4UPIyMhAR0cHjRo1Yh2pRvz9/eHh4YHU1FRcv34d6urqcHd3h6amJszNzVnHq5axY8ciNDQUTZo0QadOnUSKX1xqDA+U9ZMyMzPDgwcP0LZtW8ExfX19BAUFCYoUXCBOU5+Bskb3KSkp4PP50NDQEPld49owH2lpacTFxYms/kpKSoKBgQEKCwsZJau+kpISbNiwAR4eHsjIyEBiYiK0tLTg7OwMDQ0NTJ8+nXXEauPz+fjvv/8E76GGhoYV9jPjmszMTMjIyEBOTo51lBoRt/cccfTy5Uvs3LlT6G9n/vz5YrXindQdRUVFSE5ORl5eHvT09Dj72ka4h7ZyE0J+iL///hvjx4/H+fPn8csvvwAAoqKi8PDhQwQGBgIAbt++DUtLS5Yxq6V9+/Zo37496xi1Rk5OTvBvw1W7d+/GypUr8ccff2D9+vWCnktKSkpwd3fnXGFSSUkJY8eOZR2j1rRt2xbR0dG4fPkyEhISAAC6uroYMmQI42TVx9UVd5UZM2YM6wi1SltbG0ePHhVpDXLkyBGRlft13fr16+Hr64vNmzcL+k0CgL6+Ptzd3TlZmOTxeBg2bBjnest+S7NmzVhH+C7i9p4jjlq1aoUNGzawjlFrrl27Bk9PTzx+/BjHjh1D69at4e/vD01NTU5tT5eUlMSrV69EBuBkZWVBVVWVcz1A7ezssG3bNsjLywv1Y83Pz8eCBQvg7e3NMB2pD2jFJCHkh3ny5Ak8PDyQmJgIAOjQoQNmzZqFvLw8Tm0/KSkpgY+PD4KDg/H69WuR/l8hISGMklWdhYUFfHx8oKCgAAsLi69ey6UVEnp6etiwYQPGjBkDeXl5xMTEQEtLC3FxcRgwYADnJqQSQmomMDAQlpaWGDJkiKDHZEREBIKDg3H06FFOFV+0tbXh6emJwYMHC72uJSQkoGfPnnj79i3riN+0fft2/P7775CWlsb27du/ei0X2iB06dIFwcHBUFZWhrGx8Ve3PXNttTHXNWnSBImJiWjatCmUlZW/+m+TnZ39E5PVTGxsLPT19SEhIYHY2NivXmtoaPiTUtWOwMBATJkyBdbW1vD390d8fDy0tLSwc+dOnDt3DufOnWMdscokJCSQnp4uUph8+fIl2rVrx7lhPpUVWt+8eYMWLVqguLiYUTJSX9CKSULID6OhoSHYyp2bm4uAgABYWloiKiqKU08SFy5cCB8fH4waNQr6+vqc7MOkqKgoyK2oqMg4Te1JTU2FsbGxyPFGjRohPz+fQSIiTgWJxYsXY+3atWjcuLFgemhltmzZ8pNSkYqMGzcON2/exNatW3Hq1CkAZatzb926VeFrRF324sWLCgeSlJaW4tOnTwwSVd/WrVthbW0NaWlpbN26tdLreDxenX8dAMr65Za3OzE3N+fkfYC42rp1K+Tl5QVfc/3fxsjISFDwMjIyAo/HQ0XriHg8HqfupQFg3bp18PDwgI2NDQ4fPiw43rt3b6xbt45hsqorv6/h8XjYt2+f0FbnkpISXL16FR07dmQVr9pyc3PB5/PB5/Px/v17oZ7GJSUlOHfunEixkpAfgVZMEkJ+qKtXr8LLywuBgYFo1aoVLCwsMG7cOE5tIW7atCn8/PwE0wNJ3aGnp4eNGzfC3NxcaGXRjh07sH//fk6sXBG3lTiampqIioqCiooK5/syDhw4ECdPnoSSkhIGDBhQ6b8Nj8fjxMppcVtZ9Hnh+OrVq+jVq5dgQBmXde3aFYsWLcLkyZOFXtdcXFzw33//4dq1a6wjEg4Tt/cccfP06VOoqamBx+Ph6dOnX72Wa73OZWVlER8fDw0NDaHXtsePH0NPT48TvYDL72uePn2KNm3aCKalA2VT7jU0NODi4oLu3buzilgtEhISX30N4PF4WLNmDecGExHu4f7dGyGkzklPT4ePjw+8vLyQm5uLCRMm4OPHjzh16pRQ3xKukJKSqnD1CletW7cO1tbWXy0accXixYsxb948FBYWgs/n49atWwgICMDGjRuxb98+1vGqRNxW4nzei5HrfRlDQ0MFX1+5coVdkFry+coid3d3tmFqwY4dO7B06VI0btwYAwcOrHAbGhetXLkSU6dOxYsXL1BaWooTJ07g0aNH8PPzw7///ss6XrWFh4dzqnfct8yYMQOTJ0/GgAEDWEepkc/fc8St1+yQIUMwefJkWFhYQEFBgXWcGvm82Ni8eXOhFWxc16JFCyQnJ0NDQ0PoeHh4OLS0tNiEqqby+5qBAwfixIkTUFZWZpzo+4SGhoLP52PQoEEIDAwUGqokJSUFdXV1tGrVimFCUl/QiklCSK0aPXo0rl69ilGjRsHa2hqmpqaQlJREw4YNERMTw8nCpJubGx4/foydO3dyvmgEAJ07d0ZcXBy6d++OyZMnY8KECWjatCnrWDV28OBBrF69GikpKQDKGsWvWbOGkwMivobP53Pu98/FxQWOjo6QlZUVOv7hwwf89ddfWLlyJaNk1fPp0yfIyMjg3r17nOqPK+50dHQwYcIEDBs2TLC6tbIPiVybAH3t2jW4uLggJiYGeXl56NKlC1auXMnJ4TFSUlJo3bo1Jk2aBGtra3Tq1Il1pO9ibm6OixcvolmzZpg4cSImT56Mzp07s45FUNZ65+jRo3j37h1GjRqFyZMnY+TIkSLTxrlCQUEBY8eOxeTJkzF48GBISEiwjvRdNm7ciAMHDsDb2xtDhw7FuXPn8PTpUyxatAjOzs5YsGAB64j11ucrdQlhgQqThJBa1aBBA9jb22POnDlCk1C5XJgcO3YsQkND0aRJE3Tq1EnkBpdLw2LKPXjwAAcPHsThw4fx/PlzDB06FNbW1hgzZoxIEYkrCgoKkJeXx+kVU3/99RecnJxEjpeUlGDy5MkICAhgkKrmxGlqpZaWFk6ePMnpAkRubm6Vr+XCaqNTp05h9uzZeP36daV92ABu9mITJ2/evMHhw4cREBCA69evw9DQENbW1pg0aRLatGnDOl6NvH37FseOHcOhQ4dw7do1dOzYEdbW1rCyshJZDUZ+rtLSUly+fBmHDh3CyZMnISkpid9++w3W1tbo378/63jVcvLkSRw6dAhnz56FoqIiLC0tMXnyZJiYmLCOViN8Ph8bNmzAxo0bUVBQAKCsJ7ijoyPWrl3LOF312NnZffU816ZYX7169avnufZwj3APFSYJIbXqxo0b8PLywpEjR6Crq4spU6Zg4sSJaNmyJWcLk9OmTfvq+f379/+kJD9GREQEDh06hGPHjqGwsLBaxQtSu1RVVbFx40ah1Z4lJSWYOHEi4uLi8PDhQ4bpqk9CQgIZGRlo1qyZ0PGQkBBYWloiMzOTUbLq8/LywokTJ+Dv7y+01YlLvtVL6nNcKuTl5eVBQUEBjx49qvTBBFeHfuXl5aG0tFToGBeKxpVJTU3FoUOHEBAQgISEBPTr148T/Vm/5vnz5wgICIC3tzeSkpLq/PTab/WX/RwXes1+TWFhIc6cOYP169fj/v37nHpd+9z79+9x/PhxBAQEICQkBFpaWpg8eTJndh18qaioCMnJycjLy4Oenp7QABmuGDt2rND3nz59QlxcHHJycjBo0CDOLVqoaDXu568TXP3bIdxBhUlCyA+Rn5+PI0eOwNvbG7du3UJJSQm2bNkCOzs7QY8zUjfcu3cPBw4cwOHDh5GVlYUPHz6wjvRV4ty4//bt2xg2bBj27t2L3377DcXFxZgwYQISEhIQEhKCFi1asI5YJeUffN+9ewcFBQWRm9u8vDzMnj0bu3btYpiyeoyNjZGcnIxPnz5BXV0djRs3FjrPhd+1sLAwwddPnjzBsmXLYGtri549ewIArl+/Dl9fX2zcuBFTp05lFbNGwsLC0Lt3b7EYfpOamor58+fjypUrQsMgyts5cP0DYklJCc6fPw9nZ2fExsZy+uf59OkTzp49iwMHDuDs2bNo0qQJXrx4wTrWV/n6+lb5Wq69DnwuPT0dhw8fxoEDBxAdHY1u3brhxo0brGN9t/j4eFhbW3P+b0cclZaWYs6cOWjXrh2WLFnCOk61vHv3Tuj7T58+4e7du3B2dsb69esxePBgRslIfUGFSULID/fo0SN4eXnB398fOTk5GDp0KIKCgljHqtfKV60cOnQIjx49Qv/+/WFlZYXffvutzq8sWrNmDZycnCArK4s1a9Z89dpVq1b9pFS1JyQkBGPGjMGBAwfg5eWF5ORkhISEoHnz5qyjVZmvry/4fD7s7Ozg7u4u9DtVPrWyvBjGFeL2uzZ48GDMmDEDkyZNEjp+6NAh7Nmzh7PDfl6/fo3Xr1+LrDI0NDRklKj6evfuDT6fj4ULF6J58+YiD1+4th21XEREBA4ePIjjx4+jsLAQ5ubmgl7UXBMaGopDhw4hMDAQpaWlsLCwgLW1NQYNGkQ92hjKzc1FYGAgDh06hCtXrkBLSwvW1tawtrZGu3btWMerscLCQgQFBeHQoUO4cOECmjdvjkmTJsHV1ZV1tGrJz8+Hq6srgoODK3ydfvz4MaNktefRo0cYMGAAXr16xTpKrQgLC8PixYtx584d1lGImKPCJCHkpykpKcGZM2fg7e3NucLk8ePHcfToUaSlpaGoqEjoHBdWSn2uR48euH37tlCfr9atW7OORT5z6tQpjB8/Hrq6uggJCeHscKKwsDD06tWLs4MHxJmsrCxiYmKEegEDQGJiIoyMjAT9v7giOjoaNjY2ePjwoUivSa6tMpSTk8OdO3fQoUMH1lFqxbJly3DkyBG8fPlS0M/Y3Nycs/2MW7dujezsbJiamsLa2hqjR48WTLnmAnHrNfs5GRkZKCsrw9LSEtbW1pztxVju4sWLOHToEE6dOoUGDRoIemVytd/fpEmTEBYWhilTpqBly5YiRfyFCxcySlZ7zp07h6lTp3KqVc3XJCQkwMTEBHl5eayjEDHH/f0uhBDOkJSUxJgxYzBmzBjWUapl+/btWLFiBWxtbXH69GlMmzYNKSkpuH37NubNm8c6XrUNHjwY3t7enOz3WZmioqIKn76rqakxSlR1FhYWFR5v1qwZlJSU8PvvvwuOca1n0ecruwoLC0WK+lz70CtO2rZti71792Lz5s1Cx/ft24e2bdsySlVz06ZNQ/v27eHl5VXhKkMu+eWXX/Ds2TOxKUxeu3YNTk5OmDBhAmcfsnxu9erVGD9+PJSUlFhHqRElJSWx7DXL5/Oxfft2WFtbc7bo/aWxY8di9OjR8PPz4/R08XLnz5/H2bNn0bt3b9ZRvtvixYuFvufz+Xj16hXOnj3LyRYIsbGxQt+X/zyurq4wMjJiE4rUK1SYJISQb/jnn3+wZ88eTJo0CT4+PliyZAm0tLSwcuVKzjWG//TpEw4fPozJkyezjlIrEhMTMX36dERGRgod51Ivtsq2zg8fPvwnJ6l9BQUFWLJkCY4ePYqsrCyR83X930ech0Rs3boV48aNw/nz59G9e3cAwK1bt5CUlITAwEDG6arv8ePHCAwMhLa2Nuso323fvn2YPXs2Xrx4AX19fZFiBJe2pX/69AkdOnTAiBEjxKIo+enTJ8yZMwc9e/bkbGEyNDRU8PW3es1yCZ/Px7x58zBgwACRleBcVFxcjE2bNmH8+PGc6S/9LcrKypwdHvelu3fvCn0vISGBZs2awc3N7ZsTu+siIyMj8Hg8kR0HPXr04NyEccJNtJWbEEK+QVZWFg8fPoS6ujpUVVXx33//oXPnzkhKSkKPHj0qLLjUZa1bt8bly5ehq6vLOsp3Kx92sWzZsgq3BXXu3JlRMgIA8+bNQ2hoKNauXYspU6Zg165dePHiBTw9PeHq6gpra2vWEb/q8yERWVlZWLduHYYPHy70Af7ixYtwdnbGokWLWMWssefPn2P37t2Cae+6urqYPXs2J1dMjhkzBlOmTMG4ceNYR/luN27cgJWVFZ48eSI4Vv6BkSsPXD6nqKiIe/fuQVNTk3WUWqGlpYWTJ0+KxfuLuPWa7dSpE7y8vNCjRw/WUWrF5/ef4uDAgQM4ffo0fH19xWZVq7h4+vSp0PflhVZpaWlGiUh9Q4VJQgj5Bi0tLQQGBsLY2BgmJiaYOXMmZs2ahUuXLmHixImcWym1YcMGJCYmYt++fZyfYNu4cWPcuXMHHTt2ZB2lVmVmZuLRo0cAgA4dOqBZs2aME9WMmpoa/Pz8MGDAACgoKCA6Ohra2trw9/dHQEAAzp07xzpilY0bNw4DBw7E/PnzhY7v3LkTly9fxqlTp9gEq4FPnz7B1NQUHh4eYrGyCADevHmDqVOnolu3bhWuMjQzM2OUrPr09PSgq6uLJUuWVLgtnWtFiqlTp8LIyIiTxfuKeHl54cSJE/D39+f86i9x6zV75swZbN68Gbt374a+vj7rON9twIAB+OOPPzjXAqkyxsbGSElJAZ/Ph4aGhsjrNNd6thNCag+3P5ESQshPMGjQIAQFBcHY2BjTpk3DokWLcPz4cURFRVXaH7Auu337NoKDg3Hp0iUYGBigcePGQue51MdQT08Pb968YR2j1uTn52PBggXw8/MT9MuUlJSEjY0NduzYwbkVBtnZ2dDS0gJQ1k+yvIjfp08fzJkzh2W0art48SI2bdokctzU1BTLli1jkKjmGjZsKNJPiuuuX7+OiIgInD9/XuQc11YZPn36FEFBQWKxLR0AdHR04OLigoiICHTt2lXkPcfe3p5RsprZuXMnkpOT0apVK6irq4v8PFwqrohbr1kbGxsUFBSgc+fOkJKSgoyMjNB5rj1Injt3LhwcHPD8+fMK/3a41NYBgNgUWAEgIyMDjo6OggnjX6714tJ7Trng4OBKJ6bTdm7yo1FhkhBCvmHPnj2CN+h58+ZBRUUFkZGRMDMzw6xZsxinqz4lJSWx2O4IAJs2bcKSJUuwYcMGGBgYiDx959pwlcWLFyMsLAxnzpwRNIcPDw+Hvb09HBwcsHv3bsYJq0dLSwupqalQU1NDx44dcfToUXTr1g1nzpzhXH82FRUVnD59Gg4ODkLHT58+DRUVFUapam7y5Mnw8vKCq6sr6yi1YsGCBZg8eTKcnZ3RvHlz1nG+y6BBgxATEyM2hUkvLy8oKSnhzp07uHPnjtA5Ho/HucKkOBVXxK3XrLu7O+sItWrixIkAhIv3XG7rsGrVKtYRao2trS3S0tLg7OxcYSshrlmzZg1cXFxgYmIiFj8P4R7ayk0IId+QlpaGtm3birxJ8/l8PHv2jBOTn8WVhIQEAFT4b8PFm/amTZvi+PHjGDBggNDx0NBQTJgwAZmZmWyC1dDWrVshKSkJe3t7XL58GaNHjwafz8enT5+wZcsWLFy4kHXEKvPx8cGMGTMwYsQIwQf4mzdv4sKFC9i7dy9sbW3ZBqym8pW5Ojo6Fa7E2bJlC6NkNSMvL4979+6hXbt2rKN8tz179mDdunWws7Or8IELl7alk7rv+fPn+Oeff5CQkACA271mxc2Xff++xLW2DuJEXl4e165dE5uJ1S1btsTmzZsxZcoU1lFIPUWFSUII+QZJSUm8evUKqqqqQsezsrKgqqrKueIXUDbt8cqVK0hJSYGVlRXk5eXx8uVLKCgoQE5OjnW8KgsLC/vq+f79+/+kJLVDVlYWd+7cERlM9ODBA3Tr1g35+fmMktWOp0+f4s6dO9DW1ubcFjSgrBC5fft2oWEx9vb2gkIllwwcOLDSczweDyEhIT8xzfebOnUq+vbtixkzZrCO8t3KH7hUhIsPXMoVFRUhNTUV7dq143x/45ycHBw/fhwpKSlwcnJCkyZNEB0djebNm6N169as49VrKSkp2L9/P1JSUrBt2zaoqqri/PnzUFNTQ6dOnVjHq3eaNGmCxMRENG3aFMrKyl9dicelrfZ6eno4ePAgjI2NWUepFSoqKrh165ZYPNwj3ESFSUII+QYJCQlkZGSIDCB5+vQp9PT0OFcsevr0KUxNTZGWloaPHz8iMTERWlpaWLhwIT5+/AgPDw/WEeutwYMHQ0VFBX5+foJJiB8+fMDUqVORnZ2Ny5cvM05ISN20fv16uLu7Y9SoURWuMuTadmFxUlBQgAULFgim3Je/5yxYsACtW7fmXI/W2NhYDBkyBIqKinjy5AkePXoELS0t/Pnnn0hLS4Ofnx/riNWSk5ODW7duVdhXzsbGhlGqmgkLC8OIESPQu3dvXL16FQ8fPoSWlhZcXV0RFRWF48ePs45Ybf7+/vDw8EBqaiquX78OdXV1uLu7Q1NTE+bm5qzjfZOvry8mTpyIRo0aCV4DKjN16tSflOr7Xbp0CW5ubvD09ISGhgbrON9t6dKlkJOTg7OzM+sopJ6iwiQhhFRi8eLFAIBt27Zh5syZQoNHSkpKcPPmTUhKSiIiIoJVxBoZM2YM5OXl4eXlBRUVFcTExEBLSwtXrlzBzJkzkZSUxDpitVy7dg2enp54/Pgxjh07htatW8Pf3x+ampro06cP63jVEhcXh+HDh+Pjx4/o3LkzACAmJgbS0tK4ePEi51Z72NvbQ1tbW6QoVD48Qtz6gRF2NDU1Kz3H4/Hw+PHjn5iGfG7hwoWIiIiAu7s7TE1NERsbCy0tLZw+fRqrV6/G3bt3WUesliFDhqBLly7YvHkz5OXlBe+hkZGRsLKywpMnT1hHrLIzZ87A2toaeXl5UFBQEFrNxuPxOLWCDQB69uyJ8ePHY/HixUL/Nrdu3YKFhQWeP3/OOmK17N69GytXrsQff/yB9evXIy4uDlpaWvDx8YGvry9CQ0NZR6y3lJWVUVBQgOLiYsjKyoo8DOPa387ChQvh5+cHQ0NDGBoaivw8XGvvQriH2/soCCHkByr/sMTn83H//n1ISUkJzklJSaFz585wdHRkFa/Grl27hsjISKGfBwA0NDTw4sULRqlqJjAwEFOmTIG1tTWio6Px8eNHAMC7d++wYcMGnDt3jnHC6tHX10dSUhIOHjwo6Pc1adIkWFtbi0wX5YLAwEAEBQWJHO/VqxdcXV2pMMlYVFQUjh49irS0NBQVFQmdO3HiBKNUNZOamso6Qq0Sp+mop06dwpEjR9CjRw+hwlenTp2QkpLCMFnN3L59G56eniLHW7dujfT0dAaJas7BwQF2dnbYsGGD0MNXrrp//z4OHTokclxVVRVv3rxhkOj77NixA3v37sWYMWOEBpWZmJhw5v4zNze3ytdyaWChuN2/xMbGCvplxsXFCZ2jQTjkZ6DCJCGEVKL8SfS0adOwbds2Tt0wfU1paWmFPcqeP38OeXl5Bolqbt26dfDw8ICNjQ0OHz4sON67d2+sW7eOYbKak5WVxcyZM1nHqBVZWVlQVFQUOa6goMDJD4ni5PDhw7CxscHw4cNx6dIlDBs2DImJicjIyMDYsWNZx/su5ZuBuPphStymo2ZmZor0aAaA/Px8Tv5sjRo1qrDYkpiYKNLypa578eIF7O3txaIoCQBKSkp49eqVyArqu3fvcrL3Z2pqaoU9DBs1asSZNkJKSkrf/Dvn4sBCLm07rwpafUtYo8IkIYR8w/79+4W+z83NRUhICDp27IiOHTsySlVzw4YNg7u7O/bs2QOg7MN7Xl4eVq1ahZEjRzJOVz2PHj1Cv379RI4rKioiJyfn5weqBSkpKXB3dxcMWOnUqRPs7e052ZBcW1sbFy5cwPz584WOnz9/HlpaWoxSEQDYsGEDtm7dinnz5kFeXh7btm2DpqYmZs2ahZYtW7KOVyN+fn7466+/BO0o2rdvDycnJ85NGfXw8ICPjw/nclfGxMQEZ8+exYIFCwD8X8F437596NmzJ8toNWJmZgYXFxccPXoUQNnPk5aWhqVLl2LcuHGM01XP8OHDERUVJTavxxMnTsTSpUtx7Ngx8Hg8lJaWIiIiAo6OjpzrlwmUtai4d++eyPTtCxcuiAzJq6vEqeCVm5srWKTwrZWg4rKYgZCfhQqThBDyDRMmTEC/fv0wf/58fPjwASYmJnjy5An4fD4OHz7MuQ8ibm5uGD58OPT09FBYWAgrKyskJSWhadOmCAgIYB2vWlq0aIHk5GSRxuPh4eGc/KB18eJFmJmZwcjICL179wYAREREwNPTE2fOnMHQoUMZJ6yexYsXY/78+cjMzMSgQYMAlG1RdXNzE7ttUFyTkpKCUaNGAShrTVG+em3RokUYNGgQ1qxZwzhh9WzZsgXOzs6YP3++4G8nPDwcs2fPxps3b7Bo0SLGCauuqKgIvXr1Yh2j1mzYsAEjRoxAfHw8iouLsW3bNsTHxyMyMhJhYWGs41Wbm5sbfvvtN6iqquLDhw/o378/0tPT0bNnT6xfv551vGoZNWoUnJycEB8fX+HQKDMzM0bJambDhg2YN28e2rZti5KSEujp6aGkpARWVlb4888/WcertsWLF2PevHkoLCwEn8/HrVu3EBAQgI0bN2Lfvn2s41VJ//79WUeoNcrKynj16hVUVVUrXQnKpdWfFhYW8PHxgYKCAiwsLL56LdfauxDuoeE3hBDyDS1atMDFixfRuXNnHDp0CKtWrUJMTAx8fX2xZ88ezjXuB4Di4mIcOXIEMTExyMvLQ5cuXTjZx3Djxo04cOAAvL29MXToUJw7dw5Pnz7FokWL4OzsLFihwxXGxsYYPny4UC8pAFi2bBkuXbqE6OhoRslqbvfu3Vi/fj1evnwJoKyX6erVqzmxeuVbN+qf49pNe5s2bXD+/HkYGBjA0NAQ//vf/zBp0iRcv34dpqamePfuHeuI1aKpqYk1a9aI/F75+vpi9erVnOpBKY7TUVNSUuDq6ir0nrN06VIYGBiwjlZjERERQj/PkCFDWEeqNgkJiUrPcaW4UpFnz57h/v37yMvLg7GxMXR0dFhHqrGDBw9i9erVgn6srVq1wpo1azB9+nTGyWqGy1Pgw8LC0Lt3bzRo0OCbD1W4UJCdNm0atm/fDnl5eUybNu2r1365e4yQ2kaFSUII+QYZGRkkJiaibdu2sLGxQatWreDq6oq0tDTo6ekhLy+PdcR6i8/nY8OGDdi4cSMKCgoAlPVecnR0xNq1axmnqz5paWncv39f5ENUYmIiDA0NUVhYyCjZ98vMzISMjAzk5ORYR6myz2/U+Xw+Tp48CUVFRZiYmAAA7ty5g5ycHFhYWHDupt3KygomJiZYvHgx1q5dix07dsDc3Bz//fcfunTpwrlCq7S0NOLi4qCtrS10PCkpCQYGBpz626HpqNyTk5MDJSUl1jHIF0pKSnD//n2oq6tDWVmZdZzvUlBQgLy8vAr7tXKFuE2BJ4TUHtrKTQgh39C2bVtcv34dTZo0wYULFwRDVt6+fQtpaWnG6arP19cXTZs2FWzjXLJkCfbs2QM9PT0EBASI9DKqy3g8HlasWAEnJyckJycjLy8Penp6nCp+fa5Zs2a4d++eSGHy3r17nP4wkpmZiUePHgEAOnbsiKZNmzJOVDWfFxuXLl2KCRMmwMPDA5KSkgDKPvTOnTuXk72kdu7cKSjWrVixAg0bNkRkZCTGjRvHyS2P2traOHr0KJYvXy50/MiRI5xbLSVu01Gjo6PRsGFDwerI06dPY//+/dDT08Pq1ashJSXFOGH1bNq0CRoaGrC0tARQ1u4lMDAQLVq0wLlz59C5c2fGCeuvP/74AwYGBpg+fTpKSkrQv39/REZGQlZWFv/++y8GDBjAOmK1fPjwAXw+H7KyspCVlUVmZibc3d2hp6eHYcOGsY5XbeIwBT4tLa1K16mpqf3gJISIF1oxSQgh3/DPP/9g4cKFkJOTg7q6OqKjoyEhIYEdO3bgxIkTnGvs3aFDB+zevRuDBg3C9evXMXjwYLi7u+Pff/9FgwYNOLVS6sCBA7CwsODsDe6XXFxcsHXrVixbtkzQYy4iIgKbNm3C4sWLObe1Mz8/HwsWLICfn59gy5akpCRsbGywY8cOTv27NWvWDOHh4ejQoYPQ8UePHqFXr17IyspilIwAQGBgICwtLTFkyBCh/qzBwcE4evQo5yeNc9kvv/yCZcuWYdy4cXj8+DH09PRgYWGB27dvY9SoUZzrN6upqYmDBw+iV69e+O+//zBhwgQcOXIER48eRVpaGi5dusQ6YrXk5+cjLCwMaWlpKCoqEjpnb2/PKFXNtGnTBqdOnYKJiQlOnTqFuXPn4sqVK/D390dISAgiIiJYR6yWYcOGwcLCArNnz0ZOTg46dOgAKSkpvHnzBlu2bMGcOXNYR6yWxo0b4/79+5zsAV6u/MEkULaTAhB+YMSlHpMABP2/vyUkJOQHJyH1HRUmCSGkCqKiovDs2TMMHTpUsBrv7NmzUFJSEnwI5gpZWVkkJCRATU0NS5cuxatXr+Dn54cHDx5gwIAByMzMZB2xypo1a4YPHz7AzMwMkydPxvDhw4VuGrmGz+fD3d0dbm5ugp6MrVq1gpOTE+zt7Tm3WmrWrFm4fPkydu7cKTSQxN7eHkOHDsXu3bsZJ6w6ZWVl+Pj4wNzcXOj46dOnYWtri7dv3zJKVnMlJSU4deqU0AR4MzMzzv4N3blzB1u3bhX8PLq6unBwcICxsTHjZPWboqIioqOj0a5dO2zatAkhISG4ePEiIiIiMHHiRDx79ox1xGr5vL3LwoULUVhYCE9PTyQmJqJ79+6cei24e/cuRo4ciYKCAuTn56NJkyZ48+YNZGVloaqqisePH7OOWC3S0tJITk5GmzZt8Pvvv0NWVhbu7u5ITU1F586dvzlJua5p2rQpwsLC0KlTJ+zbtw87duzA3bt3ERgYiJUrVwpe67jCwsICEydOxIQJE1hHqbEGDRqgTZs2sLW1xejRo9GgQcUbULmyclpCQgLq6uoYNWqUSNuQz23duvUnpiL1EW3lJoSQKjAxMRH0lStXvhWaa+Tk5JCVlQU1NTVcunQJixcvBlB2Q//hwwfG6arn1atXuHDhAgICAjBhwgTIyspi/PjxsLa25uRU2/KpyIsWLcL79+8BAPLy8oxT1VxgYCCOHz8utH1u5MiRkJGRwYQJEzhVmJw2bRqmT5+OlJQUdOvWDQBw8+ZNuLq6frNpfF2UnJyMUaNG4fnz54JVoBs3bkTbtm1x9uxZtGvXjnHC6uvatSsOHDjAOkaNiPN0VD6fL1gxffnyZfz6668AytqkvHnzhmW0GlFWVsazZ8/Qtm1bXLhwAevWrQNQ9nNyZZVUuUWLFmH06NHw8PCAoqIibty4gYYNG2Ly5MlYuHAh63jV1rx5c8THx6Nly5a4cOGC4D2moKCAkw9cCgoKBPcAly5dgoWFBSQkJNCjRw88ffqUcbrqE4cp8M+fP4evry/2798PDw8PTJ48GdOnT4euri7raDWyadMm7N+/H8eOHYO1tTXs7Oygr6/POhaph6gwSQghFSgfCNG4cWNB4a4yXBtEMHToUMyYMQPGxsZITEzEyJEjAQAPHjyAhoYG23DV1KBBA/z666/49ddfUVBQgJMnT+LQoUMYOHAg2rRpI5hiyTWvX78W6snYrFkzxolqpqCgAM2bNxc5rqqqKhhWxBV///03WrRoATc3N7x69QoA0LJlSzg5OcHBwYFxuuqzt7eHlpaWoH8uAGRlZWHy5Mmwt7fH2bNnGSesnnPnzkFSUhLDhw8XOn7x4kWUlpZixIgRjJJVjaKiomBFtKKiIuM0tcvExATr1q3DkCFDEBYWJigWpaamVvj6UNdZWFjAysoKOjo6yMrKEvxu3b17V2T4Ul137949eHp6QkJCApKSkvj48SO0tLSwefNmTJ069ZtF8rpm2rRpmDBhAlq2bAkejyeYlH7z5k107NiRcbrq09bWxqlTpzB27FhcvHgRixYtAlB2j8DF3sYzZ84EUNa25ktc2f7cokULLF26FEuXLkV4eDj279+P7t27Q09PD9OnT8f06dO/Ou2+rnFycoKTkxOuX78Ob29v9O7dGx06dICdnR2srKw4+XtGuIm2chNCSAUGDhyIkydPQklJCQMHDqz0Oh6Px7m+Kzk5Ofjzzz/x7NkzzJkzB6ampgCAVatWQUpKCitWrGCcsObevHmDw4cPw8PDAw8fPuTETe7n3r9/j7lz5yIgIECoJ6OlpSV27drFuYLF4MGDoaKiAj8/P8GgqA8fPmDq1KnIzs7G5cuXGSesmfLtgFy+YW/cuDFu3LghGEhSLiYmBr1790ZeXh6jZDVjaGgIV1dXwYOWchcuXMDSpUsRExPDKBmJjY2FtbU10tLSsHjxYqxatQoAsGDBAmRlZeHQoUOME1bPp0+fsG3bNjx79gy2traCVgFbt26FvLw8ZsyYwThh1TVr1gyRkZHQ0dFB+/btsWPHDgwfPhwJCQno2rUr8vPzWUestuPHj+PZs2cYP3482rRpA6Bs6J+SkpJIK4667vjx47CyskJJSQkGDx4s6F+6ceNGXL16FefPn2eckABARkYGJk2ahLCwMGRmZgoe9nFRQUEBjh07hl27diE+Ph4vX77k9L0O4Q4qTBJCCOG08pWSBw8eRHBwMNq2bYtJkybB2tqacyskLC0tcffuXezYsQM9e/YEAFy/fh0LFy6EkZGRYCI8V8TFxWH48OH4+PGjoN9STEwMpKWlcfHiRXTq1IlxwvqrSZMm+Pfff0VaHkRERGD06NHIzs5mlKxmZGRk8PDhQ5FV30+ePEGnTp04WWARd4WFhZCUlPxqXzPyYw0bNgy2trawsrLCzJkzERsbC3t7e/j7++Pt27e4efMm64j1Xnp6Ol69eoXOnTsLVuLdunULCgoKnLvHETeRkZHw9vbGsWPHBKsMf//9d06tmPxSeHi44Gfq1KkTQkNDISMjwzoWqQeoMEkIIVXA5/ORlZUFHo8HFRUV1nHI/zdx4kT8+++/kJWVxYQJE2BtbS0o6HFR48aNcfHiRfTp00fo+LVr12BqasrJ4kpBQQEOHjyIhIQEAGUDSaytrTl3o5uRkQFHR0cEBwfj9evX+PL2iWurc21sbBAdHQ0vLy+hnpkzZ85E165d4ePjwzZgNbVo0QKHDh0SmTB6+fJlWFlZ4fXr14yS1czx48cFU56/nJQcHR3NKBURN1FRUXj//j0GDhyI169fw8bGRrCC0tvbmzMDPAh3cH0KfPnAyP379+Pt27di0Zfx5cuX8PHxgY+PD3JzczF58mTY2dlBT0+PdTRSj1CPSUII+Yr09HQsWbIEQUFBgmEkCgoKGDt2LDZu3MjJ/ljiRFJSEkePHuX8NO5yKioqFW7XVlRUhLKyMoNE309WVlbQV4rLbG1tkZaWBmdnZ0H/Mi7bvn07pk6dip49ewpWrBUXF8PMzAzbtm1jnK76zM3N8ccff+DkyZOCwT3JyclwcHDgxECFz23fvh0rVqyAra0tTp8+jWnTpiElJQW3b9/GvHnzWMcjYuTzoX6qqqq4cOECwzRE3H1rCjwXCpNqampo3bo1pk6dCjMzMzRs2BClpaWIjY0Vus7Q0JBRwuoZOXIkQkNDMWzYMPz1118YNWpUpZPGCfmRaMUkIYRUIjc3F0ZGRsjLyxNsC+bz+YiPj0dAQACUlZURHR0NOTk51lGJmNizZw+OHTsGf39/tGjRAkBZcbx8CMGsWbMYJ/y2oKCgKl/LpYKRvLw8rl27BiMjI9ZRalVSUhIePnwIHo8HXV1dzg3vKPfu3TuYmpoiKipK0Ffu+fPn6Nu3L06cOAElJSW2AauhY8eOWLVqFSZNmgR5eXnExMRAS0sLK1euRHZ2Nnbu3Mk6IiGEVNuAAQPQvn17wRT4mJgYoSnwXBi29Pk27fIHlF+WU7gyyAco+3latmwJVVXVrz5wpZX65EejwiQhhFRi7dq18PPzQ2RkpMhU5NevX6N3796YNm0ali9fzighAYDg4GDB9trygTHlvL29GaWqOmNjY6GbwaSkJHz8+BFqamoAgLS0NDRq1Ag6OjqcuDGsam8lLt24A4Cenh4OHjwoGHQhTspvBbm+CpTP5+O///5DTEwMZGRkYGhoiH79+rGOVW2ysrJ4+PAh1NXVoaqqiv/++w+dO3dGUlISevTogaysLNYRiZgQtxYVpG5TUlLCzZs30aFDBygpKeH69evQ1dXFzZs3MXXqVEHLl7rs6dOnVbpOXV39ByepHWvWrKnSdeVDywj5UWidLiGEVOLs2bNYvny5SFESKNvy9L///Q979+6lwiRDa9asgYuLC0xMTDi7vXbMmDGsI9SqL4vD4sLd3R3Lli2Dp6enyIAVrvLy8sLWrVuRlJQEANDR0cEff/zBqanCn+PxeBg2bBiGDRvGOsp3adGiBbKzs6Gurg41NTXcuHEDnTt3RmpqqkjhiLCVl5cn8prHpQm24taiAih7D0pOTq7wYSXXHlRcvXoVvXr1EtlaW1xcjMjISM79PA0bNhQ8vFRVVUVaWhp0dXWhqKiIZ8+eMU5XNVwpOFYVFRxJXUErJgkhpBJNmjTB9evX0aFDhwrPJyQkoFevXpyYXtulSxcEBwdDWVlZZIXel7iwKq9cy5YtsXnzZkyZMoV1FCLmlJWVUVBQgOLiYsjKyopMEubC68DnVq5ciS1btmDBggVCE+B37tyJRYsWwcXFhXHC+mvGjBlo27YtVq1ahV27dsHJyQm9e/dGVFQULCws4OXlxTriNy1evLjK127ZsuUHJql9qampmD9/Pq5cuYLCwkLBcT6fz7mV4OLWouLGjRuwsrLC06dPOb29tpykpCRevXoFVVVVoeNZWVlQVVXl3M9DU+AJIZWhFZOEEFKJ3Nzcr/YlU1JSQm5u7s8L9B3Mzc3RqFEjAOK1Qq+oqAi9evViHYPUA+7u7qwj1Krdu3dj7969mDRpkuCYmZkZDA0NsWDBAipMMrRnzx7BSq958+ZBRUUFkZGRMDMz40SfWaBsyMXnoqOjUVxcLHjQl5iYCElJSXTt2pVFvO8yefJk8Pl8eHt7o3nz5pxeZdi2bVuxWoU7e/ZsmJiY4OzZs2KxArS82P2lrKwsNG7cmEGi77NhwwbBIMn169fDxsYGc+bMEUyBJ4TUX7RikhBCKiEpKYn09PQKt3IDZb2ZWrVqxYkn1tu3b8fvv/8OaWlppKWloU2bNlXuBViXLV26FHJycnB2dmYdhRBOUVJSwu3bt6GjoyN0PDExEd26dUNOTg6bYARpaWlo27atSEGCz+fj2bNngv6zXLFlyxZcuXIFvr6+UFZWBgC8ffsW06ZNQ9++feHg4MA4YfXIycnhzp07le6m4JJLly7Bzc1NbFpUNG7cGDExMZwd4lWufAjM6dOnYWpqKniwDJT1/YyNjUWHDh1oijohRGzQiklCCKkEn89H+/btK33izqXnOosXL8bEiRMhLS0NTU3NCrcGcVFhYSH27NmDy5cvw9DQUGR7Lde2CBJuKCwsRFFRkdAxLvWVA4ApU6Zg9+7dIn8je/bsgbW1NaNUBEClr9HZ2dnQ1NTkxMOwz7m5ueHSpUuCoiRQ1hph3bp1GDZsGOcKk7/88guePXvG2cKksrKy0H1Nfn4+2rVrJxYtKrp3747k5GTOFyYVFRUBlN1nysvLQ0ZGRnBOSkoKPXr0wMyZM1nF+y7FxcW4cuUKUlJSYGVlBXl5ebx8+RIKCgqQk5NjHY8QwggVJgkhpBL79+9nHaHWtGrVCoGBgRg5ciT4fD6eP38u1Bvrc1xajRMbGyvojRUXFyd0jutbuEjdkp+fj6VLl+Lo0aMVTkXmQrHo875/PB4P+/btw6VLl9CjRw8AwM2bN5GWlgYbGxtWEWtMnHqxVbZ9My8vD9LS0gwSfZ/c3FxkZmaKHM/MzBRs6+SSffv2Yfbs2Xjx4gX09fVFinmGhoaMklWNuLWl+NyCBQvg4OCA9PR0GBgYcO7fplz5/aeGhgYcHR05uW27Ik+fPoWpqSnS0tLw8eNHDB06FPLy8ti0aRM+fvwIDw8P1hEJIYzQVm5CCKkH9uzZgwULFqC4uLjSa7jYuF9cFRUVITU1Fe3atROZxsk1KSkp2L9/P1JSUrBt2zaoqqri/PnzUFNTQ6dOnVjHq7J58+YhNDQUa9euxZQpU7Br1y68ePECnp6ecHV15cQqw4EDB1bpOh6Ph5CQkB+cpnZJSEggPT1dpDD58uVLtGvXDh8+fGCUrOrKC8fbtm3DzJkzISsrKzhXUlKCmzdvQlJSEhEREawi1oiNjQ2uXbsGNzc3dOvWDUBZEdzJyQl9+/aFr68v44TVUz5g5cmTJ4JjPB6P3kPrgIpa1NC/Td0xZswYyMvLw8vLCyoqKoiJiYGWlhauXLmCmTNnIikpiXXEKsvIyICjoyOCg4Px+vVrkV1UXPxdCw4OFvw8X060px6g5Efj9qcdQgghVfL7779j0qRJePr0KQwNDXH58mWoqKiwjlWrnj9/DgBo06YN4yQ1V1BQgAULFgg+qCcmJkJLSwsLFixA69atsWzZMsYJqycsLAwjRoxA7969cfXqVaxfvx6qqqqIiYmBl5cXjh8/zjpilZ05cwZ+fn4YMGCAoDeetrY21NXVcfDgQU4UJkNDQ1lHqHXbt28H8H8rQD/fClhSUoKrV6+iY8eOrOJVS/nAGD6fj/v370NKSkpwTkpKCp07d4ajoyOreDXm4eEBR0dHWFlZ4dOnTwCABg0aYPr06fjrr78Yp6s+Ozs7GBsbIyAggPPDb8RNamoq6wi1StyKX9euXUNkZKTQaxtQtjL0xYsXjFLVjK2tLdLS0uDs7CwWg5bWrFkDFxcXmJiYiMXPQ7iHVkwSQkg94+vri4kTJwo1U+eq0tJSrFu3Dm5ubsjLywMAyMvLw8HBAStWrODcgJ+FCxciIiIC7u7uMDU1RWxsLLS0tHD69GmsXr1aZNJtXdezZ0+MHz8eixcvhry8vGB1xK1bt2BhYSEoJnOBnJwc4uPjoaamhjZt2uDEiRPo1q0bUlNTYWBgIPj9Iz+XpqYmgLItgm3atIGkpKTgnJSUFDQ0NODi4oLu3buzilht06ZNw/bt2yEvL886yncrKSlBREQEDAwMICUlhZSUFABAu3btOLs9VVwGrJC6b8SIEUhLS8P8+fMrLBaZm5szSlYzysrKiIiIgJ6entA9QXh4OMaNG4eMjAzWEatMXl4e165dE7QT4rqWLVti8+bNmDJlCusopJ6iFZOEEFLPTJ06lXWEWrNixQp4eXnB1dUVvXv3BgCEh4dj9erVKCwsxPr16xknrJ5Tp07hyJEj6NGjh9AHkE6dOgk+0HPJ/fv3cejQIZHjqqqqePPmDYNENaelpYXU1FSoqamhY8eOOHr0KLp164YzZ85ASUmJdbx6q3yF1MCBA3HixAmhAStc9OnTJ/j7+8PBwQH6+vqs43w3SUlJDBs2DA8fPoSmpiZnevx9zaBBg6gwWYcEBQVhxIgRaNiwIYKCgr56rZmZ2U9KVTvCw8PFqvg1bNgwuLu7Y8+ePQDKVrrn5eVh1apVGDlyJON01dO2bVtODcH8lqKiIvTq1Yt1DFKPUWGSEELqgSZNmiAxMRFNmzYVmcj5JS5N4fT19cW+ffuEPmwYGhqidevWmDt3LucKk5mZmRVOS8/Pz+fktholJSW8evVKsKqt3N27d9G6dWtGqWpm2rRpiImJQf/+/bFs2TKMHj0aO3fuxKdPn2j6ex0gLtvUGzZsCDU1Nc5t0fwafX19PH78WOR1gKtGjx6NRYsW4f79+xUOWOFa8YvrxowZI+gvO2bMmEqv42KPSXErfrm5uWH48OHQ09NDYWEhrKyskJSUhKZNmyIgIIB1vGpxd3fHsmXL4OnpCQ0NDdZxvtuMGTNw6NAhODs7s45C6inayk0IId/g4uICR0dHoUEEAPDhwwf89ddfWLlyJaNkVff59m0fH5+vFrm4tKJSWloasbGxaN++vdDxR48ewcjIiBMDLz7Xr18/jB8/HgsWLIC8vDxiY2OhqamJBQsWICkpCRcuXGAdsVocHR1x8+ZNHDt2DO3bt0d0dDQyMjJgY2MDGxsbrFq1inXEGnv69Cnu3LkDbW1tsVgFJg6eP3+OoKAgpKWloaioSOgcl4rHXl5eOHHiBPz9/dGkSRPWcb7bhQsX8L///Q9r165F165dRbZwKygoMEpWM19rEcLF4hcAJCcnIyUlBf369YOMjEylk+HJz3Xp0iW4ubmJTfELAIqLi3H48GHExsYiLy8PXbp0gbW1NWRkZFhHqxZlZWUUFBSguLgYsrKyIg8ouPSQHyhrJeTn5wdDQ0MYGhqK/Dxceg8l3ESFSUII+QZJSUm8evVKZCVbVlYWVFVVOfkhRFx0794d3bt3FwzAKLdgwQLcvn0bN27cYJSsZsLDwzFixAhMnjwZPj4+mDVrFuLj4xEZGYmwsDB07dqVdcRqKSoqwrx58+Dj44OSkhI0aNAAJSUlsLKygo+Pj1A/QEK+R3BwMMzMzKClpYWEhATo6+vjyZMn4PP56NKlC6emjBsbGyM5ORmfPn2Curq6SCEvOjqaUbKa+byQ93mxiyYls5eVlQVLS0uEhISAx+MhKSkJWlpasLOzg7KyMtzc3FhHrJbnz59XOgDvxo0b6NGjx09OVH1f7mrJz88Xm+KXOCkfUlgZLj3kB8raoVSGx+Nx6j2UcBMVJgkh5BskJCSQkZGBZs2aCR0PCQmBpaUlMjMzGSWrGRsbGwwcOBD9+vVDu3btWMf5LmFhYRg1ahTU1NTQs2dPAMD169fx7NkznDt3Dn379mWcsPpSUlLg6uqKmJgYwWqCpUuXwsDAgHW0Gnv27Bnu37+PvLw8GBsbQ0dHh3UkAsDf3x8eHh5ITU3F9evXoa6uDnd3d2hqanJuqEK3bt0wYsQIrFmzRjBUQVVVFdbW1jA1NcWcOXNYR6yyNWvWfPU811Yah4WFffV8//79f1IS8iUbGxu8fv0a+/btg66urmAYycWLF7F48WI8ePCAdcRq0dPTQ3h4uMhK44iICIwaNQo5OTlsglXDtwpen+NC8etbfT8/R20QCKm/qDBJCCGVKH9q/e7dOygoKAg9wS4pKUFeXh5mz56NXbt2MUxZfTNmzMDVq1eRnJyM1q1bo3///hgwYAD69+/PyYLRixcv8M8//yAhIQEAoKuri7lz56JVq1aMkxFxaIMgrnbv3o2VK1fijz/+wPr16xEXFwctLS34+PjA19eXcz0b5eXlce/ePbRr1w7KysoIDw9Hp06dEBMTA3Nzczx58oR1RCJGwsLC8Pfff+Phw4cAygpiTk5OnHsY1qJFC1y8eBGdO3cWmpL8+PFjGBoaIi8vj3XEarGzs0NsbCxCQ0MFU+2vXr2K0aNHY/Xq1Vi0aBHjhPXP11offI4Lq6dzc3MFrSdyc3O/ei3XWlQQwhoVJgkhpBK+vr7g8/mws7ODu7s7FBUVBeekpKSgoaEhWKXHRS9evMDVq1cRFhaGsLAwJCYmomXLlnj+/DnraPVaaWkpkpOT8fr1a5SWlgqd69evH6NUNUNtEOouPT09bNiwAWPGjBEqSMTFxWHAgAGcm5reokULhIaGQldXF3p6enB1dYWZmRliYmLQu3dvzhVYcnJycPz4caSkpMDJyQlNmjRBdHQ0mjdvzrnBUeUKCgoq7P/JtR6tBw4cwLRp02BhYYHevXsDKFuRd/LkSfj4+MDKyopxwqqTl5dHdHQ0dHR0hF4HoqKiMHz4cGRlZbGOWC2lpaX47bffkJ2djYsXLyIyMhJmZmZYt24dFi5cyDpetVVW/OLxeGjUqBGkpKR+cqL67fN7GgkJiQr7sHKpRYWFhQV8fHygoKAACwuLr1574sSJn5SK1Fc0lZsQQipRvkVGU1MTvXr1Euntw3XKyspQUVGBsrIylJSU0KBBA5Ht6nXd/v37IScnh/HjxwsdP3bsGAoKCjixzelzN27cgJWVFZ4+fSoyiZMrN7qfq2yAQkxMjFgM9eCy1NRUGBsbixxv1KgR8vPzGST6Pj169EB4eDh0dXUxcuRIODg44P79+zhx4gQn+sp9LjY2FkOGDIGioiKePHmCmTNnokmTJjhx4gTS0tLg5+fHOmK1ZGZmYtq0aTh//nyF57n2urZ+/Xps3rxZaPWdvb09tmzZgrVr13KqMNm3b1/4+flh7dq1AMreZ0pLS7F58+av9pyrqyQkJHD48GGMGjUKgwYNQmxsLDZu3Ij58+ezjlYjSkpKXx1C1KZNG9ja2mLVqlVVXpnIQkhICObPn48bN26IrCR89+4devXqBQ8Pjzq/4jgkJERw78K1XQUVUVRUFPx+fb74ghAWaMUkIYRUgTitYlu+fDmuXLmCu3fvQldXV7CVu1+/flBWVmYdr1rat28PT09PkQ9QYWFh+P333/Ho0SNGyWrGyMgI7du3x5o1a9CyZUuRDyRcuXEUlzYI39qq9TmubdvS09PDxo0bYW5uLrRSaseOHdi/fz/nBqw8fvwYeXl5MDQ0RH5+PhwcHBAZGQkdHR1s2bIF6urqrCNW2ZAhQ9ClSxds3rxZ6N8mMjISVlZWnNuWbm1tjadPn8Ld3R0DBgzAyZMnkZGRgXXr1sHNzQ2jRo1iHbFaGjVqhAcPHkBbW1voeHJyMvT19VFYWMgoWfXFxcVh8ODBggFRZmZmePDgAbKzsxEREcGJPtSxsbEix96/f49JkyZh1KhRQv1lubY618/PDytWrICtrS26desGALh16xZ8fX3x559/IjMzE3///TecnJywfPlyxmkrZ2ZmhoEDB1a6lX779u0IDQ3FyZMnf3IyQkhdQYVJQgj5BnFbxSYhIYFmzZph0aJFsLCwQPv27VlHqjFpaWkkJCRAQ0ND6PiTJ0+gq6uLDx8+sAlWQ40bN0ZMTIzIB16uEZc2CJVt1aoI114H9u3bh9WrV8PNzQ3Tp0/Hvn37kJKSgo0bN2Lfvn2YOHEi64j1lqKiIqKjo9GuXTuhwuTTp0/RoUMHThW+AKBly5Y4ffo0unXrBgUFBURFRaF9+/YICgrC5s2bER4ezjpitWhra8PJyQmzZs0SOu7h4QE3NzckJSUxSlYz7969w86dO4UGrs2bNw8tW7ZkHa1Kyl+nP78/+/z78q+5eL82ePBgzJo1CxMmTBA6fvToUXh6eiI4OBj+/v5Yv369oM92XaSuro4LFy5AV1e3wvMJCQkYNmwY0tLSfnIyQkhdQVu5CSHkG2bPng0TExOcPXu2wlVsXHP37l2EhYXhypUrcHNzg5SUlGDV5IABAzhVqFRVVUVsbKxIYTImJgYqKipsQn2H7t27Izk5mfOFSXFpg/D5Vq0nT55g2bJlsLW1FZoA7+vri40bN7KKWGMzZsyAjIwM/vzzTxQUFMDKygqtWrXCtm3bOFuUFJe+jI0aNapwtW5iYiLn2m0AQH5+vqDPrLKyMjIzM9G+fXsYGBhwbmUuADg4OMDe3h737t1Dr169AJT1mPTx8cG2bdsYp6s+RUVFrFixgnWMGktNTWUd4YeJjIyEh4eHyHFjY2Ncv34dANCnT586X9DLyMj46n1AgwYNkJmZ+RMTEULqGipMEkLINyQlJeH48eOcLxaV69y5Mzp37gx7e3sAZUW8rVu3Yt68eSgtLeXUioJJkybB3t4e8vLygi31YWFhWLhwISeLKwsWLICDgwPS09NhYGAgciPPtW1o/fv3F3xdWFgoMvSirm9//jy/i4sLtmzZgkmTJgmOmZmZwcDAAHv27OFcP1OgbIuttbU1CgoKkJeXJzKkiEvEqS+jmZkZXFxccPToUQBlK77S0tKwdOlSjBs3jnG66uvQoQMePXoEDQ0NdO7cGZ6entDQ0ICHhwdnVuV9bs6cOWjRogXc3NwE/0a6uro4cuQIzM3NGaernoq2QQNlv3PS0tJQU1NDo0aNfnKq6uFSm4bqatu2Lby8vODq6ip03MvLC23btgVQNkyurrfhad26NeLi4iq9j46NjeXkawEhpPbQVm5CCPmGQYMGYcmSJTA1NWUdpVbw+XzcvXsXV65cwZUrVxAeHo7c3FwYGhqif//+2Lp1K+uIVVZUVIQpU6bg2LFjaNCg7FlbaWkpbGxs4OHhwbmJlRU1r+fyNrSCggIsWbIER48erXC6K5d+HllZWcTExEBHR0foeGJiIoyMjFBQUMAoGQHEqy/ju3fv8NtvvyEqKgrv379Hq1atkJ6ejp49e+LcuXNo3Lgx64jVcuDAARQXF8PW1hZ37tyBqakpsrOzISUlBR8fH1haWrKOWG993q7i863P5Ro2bAhLS0t4enpCWlqaScbq2LhxI5o3bw47Ozuh497e3sjMzMTSpUsZJauZoKAgjB8/Hh07dsQvv/wCAIiKikJCQgKOHz+OX3/9Fbt370ZSUhK2bNnCOG3lFixYgCtXruD27dsiv0cfPnxAt27dMHDgQGzfvp1RQkIIa1SYJISQCny+iiAlJQV//vknnJycxGIVm7KyMvLy8tC5c2fBFu6+fftCSUmJdbQaS0pKwr179yAjIwMDAwPOrqB4+vTpV89z7eeaN28eQkNDsXbtWkyZMgW7du3Cixcv4OnpCVdXV1hbW7OOWGUdOnSAubk5Nm/eLHR8yZIlOH36NOcGLWVkZMDR0RHBwcF4/fq1SP9cLhWNAfHrywiUbQ/+vO/fkCFDWEeqFQUFBUhISICamhqaNm3KOk6N3blzBw8fPgQAdOrUqcIp93Xd6dOnsXTpUjg5OQkNV3Fzc8OqVatQXFyMZcuWwdLSEn///TfjtN+moaGBQ4cOCbbYl7t58yYmTpzIyW3fqamp2LNnj+A9pkOHDpg1a5ZIC5u6LCMjA126dIGkpCTmz5+PDh06ACjrLblr1y6UlJQI2m5wxapVq2BnZ8e5+7LKPH78GFpaWqxjkHqMCpOEEFKBipqpf47Lq9jOnj2Lvn371vlttIT71NTU4OfnhwEDBkBBQQHR0dHQ1taGv78/AgICcO7cOdYRq+zcuXMYN24ctLW10b17dwBlH+CTkpIQGBiIkSNHMk5YPSNGjEBaWhrmz59fYe9crm1JVVVVxcWLF2FsbCxUmPzvv/9gZ2eHZ8+esY5YZX5+frC0tBTZQltUVITDhw/DxsaGUbLvV9GqPK55/fo1Jk6ciCtXrgge6OXk5GDgwIE4fPgwp/qAduvWDWvXrsXw4cOFjl+8eBHOzs64desWTp06BQcHB6SkpDBKWXXS0tJ4+PAhNDU1hY4/fvwYenp6nHxAIS6ePn2KOXPm4OLFi0KvA8OHD8euXbtE/s3qOiMjI8TFxaF///6YPn06xo0bV+fbHnyNhISE4Gf57bffOLFCmogXKkwSQkgFvrVy7XPi8rSUsBEUFIQRI0agYcOGCAoK+uq1ZmZmPylV7ZCTk0N8fDzU1NTQpk0bnDhxAt26dUNqaioMDAyQl5fHOmK1PH/+HP/8849g+qmuri5mz54t6PXFJfLy8rh27RqMjIxYR6kVM2bMQFZWFo4ePYomTZogNjYWkpKSGDNmDPr16wd3d3fWEatMUlISr169Eun5mZWVBVVVVc49DAPKiq1//fWXYGJ1+/bt4eTkhClTpjBOVn2WlpZ4/Pgx/Pz8BFOG4+PjMXXqVGhrayMgIIBxwqqTkZHB3bt30bFjR6HjCQkJMDY2xocPH/DkyRPo6elxol2Fjo4OVq1ahcmTJwsd9/f3x6pVq/D48WNGyaouNjYW+vr6kJCQqLQHaDmu7dgBgLdv3yI5ORl8Ph86Ojp1vj/m19y9exf79+9HQEAAiouLMXHiRNjZ2Qm23XPJvXv3BD9LUVERLC0tMX36dMFKakJ+OD4hhBBCmOHxePyMjAzB15X9JyEhwThp9RkYGPCvXLnC5/P5/MGDB/MdHBz4fD6fv23bNn7r1q1ZRqv3dHV1+dHR0axj1JqcnBz+kCFD+EpKSnxJSUl+27Zt+Q0bNuT369ePn5eXxzpetfB4PP7r169Fjt+7d4+vrKzMINH3cXNz48vKyvKXLFnCP336NP/06dN8JycnvqysLH/Lli2s41WbgoIC/9atWyLHb968yVdUVPz5gb6DkZERf+rUqfyPHz8KjhUVFfGnTp3KNzIy4vP5fH54eDhfQ0ODVcRq2bRpE19FRYXv7e3Nf/LkCf/Jkyd8Ly8vvoqKCn/Dhg2s41XJl/cEEhISYnNPIK6Kior4gYGB/F9//ZXfsGFDvoGBAd/d3Z2fk5PDOlq1ffr0iR8YGMgfPXo0v2HDhvxOnTrx3dzcKnxPIqQ20YpJQgj5hspWsZVPrdTW1ubcFhRCfoatW7dCUlIS9vb2uHz5MkaPHg0+n49Pnz5hy5YtWLhwIeuI1ZKTkwMvLy+hvnJ2dnZQVFRknKz6Ll26BDc3N8GEZHHB5b6MxsbG4PF4iImJQadOnQQDvYCynp+pqakwNTUVTILmCk1NTaxZs0ZkC7qvry9Wr17Nub5/la02vnv3Lvr374/c3Fw2wWogMjISZmZmkJCQEKy+u3//PkpKSvDvv/+iR48e8Pf3R3p6OpycnBin/TY+n49ly5Zh+/btKCoqAlC2vXvp0qVYuXIl43RV8/TpU6ipqYHH44ld32lxVVRUhJMnT8Lb2xshISHo1asXXr58iYyMDOzdu5eTA74+fvyIf/75B//73/9QVFQEKSkpTJgwAZs2baIJ6uSHoMIkIYR8Q2X9Jj/vM9mnTx+cOnWK01tSCPnRnj59ijt37kBbW5tzW9CioqIwfPhwyMjICLY23b59Gx8+fMClS5fQpUsXxgmrR1lZGQUFBSguLoasrKzIUK/s7GxGyeqvNWvWCP7v4OAAOTk5wTkpKSloaGhg3LhxkJKSYhWxRqSlpREXFwdtbW2h40lJSTAwMOBc3z9zc3Pk5OQgICAArVq1AgC8ePEC1tbWUFZWxsmTJxknrJ7379/j4MGDSExMBFA2XMXKygry8vKMk9VcXl4eHj58CBkZGejo6HC69x+pu+7cuSPY/tyoUSPY2NhgxowZgte6HTt2YN26dcjIyGCctOqioqLg7e2Nw4cPo3Hjxpg6dSqmT5+O58+fY82aNcjNzcWtW7dYxyRiiAqThBDyDcHBwVixYgXWr18vNLXS2dkZf/75JxQVFTFr1ix0794dXl5ejNN+29WrV9GrVy+h1TgAUFxcjMjISPTr149Rspq5du0aPD09kZKSguPHj6N169bw9/eHpqYm+vTpwzreN23fvr3K19rb2//AJORr+vbtC21tbezdu1fwt1NcXIwZM2bg8ePHuHr1KuOE1ePr6/vV81OnTv1JSb7P9evXkZWVhV9//VVwzM/PD6tWrUJ+fj7GjBmDHTt2cKow4evrC0tLS7EZPqCvrw8rKyssX75c6Pi6detw5MgR3L9/n1Gymnn27BnMzMzw4MEDQX/ZZ8+eQV9fH0FBQWjTpg3jhCQ5ORkpKSno168fZGRkBA+RueBbvaY/x7W+0+LEwMAACQkJGDZsGGbOnInRo0dDUlJS6Jo3b95AVVUVpaWljFJW3ZYtW7B//348evQII0eOxIwZMzBy5EhISEgIrnn+/Dk0NDRQXFzMMCkRV1SYJISQb9DX18eePXvQq1cvoeMRERH4/fff8eDBA1y+fBl2dnZIS0tjlLLqxGmwQmBgIKZMmQJra2v4+/sjPj4eWlpa2LlzJ86dO8eJqc9VbQPA4/E40bgfAD58+IDg4GBBseh///sfPn78KDgvKSmJtWvXcqrwUtmQiPj4eJiYmHBiMIQ4GjFiBAYMGIClS5cCKNuG2qVLF9ja2kJXVxd//fUXZs2ahdWrV7MNWgNFRUV4/fq1yIdaNTU1RolqJjAwEJaWlhgyZAh69+4NoOz9Mzg4GEePHsXYsWMZJ6w+Pp+Py5cvCw3C4lLbgC/Fx8cjLS1NsP25HNcKX1lZWZgwYQJCQ0PB4/GQlJQELS0t2NnZQVlZGW5ubqwjftPnhaCv4fF4nLpfEzdr166FnZ0dWrduzTpKrdDR0YGdnR1sbW0r3apdVFSEgIAAzjy4JNxChUlCCPkGGRkZ3L59G/r6+kLH79+/j27duuHDhw94+vQpdHV1OVGckJCQQEZGBpo1ayZ0PDExESYmJpzqj2VsbIxFixbBxsYG8vLyiImJgZaWFu7evYsRI0YgPT2ddcR6ycPDA2fPnsWZM2cAlPVk69SpE2RkZACUTXxdsmQJFi1axDJmtTRv3hz+/v4YNmyY0PGLFy/CxsaGE1u1cnNzoaCgIPj6a8qvq+tatmyJM2fOwMTEBACwYsUKhIWFITw8HABw7NgxrFq1CvHx8SxjVktSUhLs7OwQGRkpdLx81RcXixF37tzB1q1bBf1ZdXV14eDgAGNjY8bJqufTp0+QkZHBvXv3RO4JuOjx48cYO3Ys7t+/L9Sypnx1Idd+12xsbPD69Wvs27cPurq6gnuCixcvYvHixXjw4AHriIQQQirQ4NuXEEJI/da1a1c4OTnBz89PUMzLzMzEkiVL8MsvvwAo+yBZvqWrrrKwsABQ9oHD1tZWaGtjSUkJYmNjRVaF1nWPHj2qcOu5oqIicnJyfn4gAgA4ePAglixZInTs0KFD0NLSAgAcOHAAu3bt4lRh0tLSEtOnT8fff/8t+DuJiIiAk5MTJk2axDhd1SgrKwtWSyspKVW4tZFrxa+3b9+iefPmgu/DwsIwYsQIwfe//PILnj17xiJajdna2qJBgwb4999/0bJlS85sQf2arl274sCBA6xjfLeGDRtCTU2NM38f37Jw4UJoamoiODgYmpqauHXrFrKysuDg4IC///6bdbxqu3TpEi5evCiynV5HR+ebg2TqiiZNmiApKQkqKiqws7PDtm3bON3vU5w9f/4cQUFBFa423rJlC6NU36egoKDCn4drfcEJ91BhkhBCvsHLywvm5uZo06aNUD8pLS0tnD59GkBZo/U///yTZcxvKp8czOfzIS8vL1i9BpQNVujRowdmzpzJKl6NtGjRAsnJySJThcPDwwVFMC4pKSmBj48PgoODK9zCGRISwihZ9SQnJ8PAwEDwvbS0tND2tG7dumHevHksotXY33//DR6PBxsbG0F/pYYNG2LOnDlwdXVlnK5qQkJC0KRJEwBAaGgo4zS1o3nz5khNTUXbtm1RVFSE6OhowRAZoGywx5eDfeq6e/fu4c6dOyJtA7ispKQEJ0+eFKyY1NPTg7m5uUivYy5YsWIFli9fDn9/f8HfE1ddv34dISEhaNq0KSQkJCAhIYE+ffpg48aNsLe3x927d1lHrJb8/HzIysqKHM/OzuZMn9mioiK8e/cOKioq8PX1xaZNm6gwWQcFBwfDzMwMWlpaSEhIgL6+Pp48eQI+n8+5YXhA2YILW1tbXLhwocLz4vIwhtRd3LsbIISQn6xDhw6Ij4/HpUuXhKZWDh06VFBsGTNmDMOEVbN//34AgIaGBhwdHdG4cWPGib7fzJkzsXDhQnh7e4PH4+Hly5e4fv06HB0d4ezszDpetS1cuBA+Pj4YNWoU9PX1ObtSKicnR6inZGZmptD50tJSofNcICUlhW3btmHjxo1ISUkBALRr167CD8F1Vf/+/Sv8mstGjhyJZcuWYdOmTTh16hRkZWXRt29fwfnY2Fi0a9eOYcLq09PTw5s3b1jHqDUPHjyAmZkZ0tPT0aFDBwDApk2b0KxZM5w5c4ZzW6J37tyJ5ORktGrVCurq6iLvpdHR0YySVV9JSYmg6NW0aVO8fPkSHTp0gLq6Oh49esQ4XfX17dsXfn5+WLt2LYCyHSKlpaXYvHkzBg4cyDhd1fTs2RNjxoxB165dwefzYW9vL/Qg+XPe3t4/OR0p97///Q+Ojo5Ys2YN5OXlERgYCFVVVVhbW8PU1JR1vGr7448/8O7dO9y8eRMDBgzAyZMnkZGRgXXr1nGiNyvhPipMEkJIFUhISMDU1JSTNxtfWrVqFesItWbZsmUoLS3F4MGDUVBQgH79+qFRo0ZwdHTEggULWMertsOHD+Po0aMYOXIk6yjfpU2bNoiLixMUIb4UGxvL2cm1srKyUFZWFnzNJbGxsVW+livbttauXQsLCwv0798fcnJy8PX1hZSUlOC8t7e3SF/Qum7Tpk1YsmQJNmzYAAMDA5EVn1zp/1luxowZ6NSpE6KiogR/O2/fvoWtrS1+//13kV6adR0XHkRWlb6+PmJiYqCpqYnu3btj8+bNkJKSwp49ezi562Dz5s0YPHgwoqKiUFRUhCVLluDBgwfIzs5GREQE63hVcuDAAWzduhUpKSng8Xh49+4dCgsLWcciX3j48CECAgIAAA0aNMCHDx8gJycHFxcXmJubY86cOYwTVk9ISAhOnz4NExMTSEhIQF1dHUOHDoWCggI2btyIUaNGsY5IxBwNvyGEkAps374dv//+O6SlpbF9+/avXmtvb/+TUtWOjIwMODo6CrYLf/k2wMXtGkVFRUhOTkZeXh709PQgJyfHOlKNtGrVCleuXEH79u1ZR/kuCxcuxOXLl3Hnzh2RydsfPnyAiYkJhgwZgm3btjFKWH2lpaWClQN5eXkAyob6ODg4YMWKFVWepMqShISE0ICLynCpx2S5d+/eQU5ODpKSkkLHs7OzIScnJ1SsrOvKf5e+XDHNtf6f5WRkZBAVFYVOnToJHY+Li8Mvv/yCDx8+MEpGLl68iPz8fFhYWCA5ORm//vorEhMToaKigiNHjmDQoEGsI1bbu3fvsHPnTsTExCAvLw9dunTBvHnzKp00XJdpamoiKioKKioqrKOQL7Ro0QKhoaHQ1dWFnp4eXF1dYWZmhpiYGPTu3Vtwn8AVCgoKiI2NhYaGBtTV1XHo0CH07t0bqamp6NSpEyeGexJuoxWThBBSga1bt8La2hrS0tLYunVrpdfxeDzOFSZtbW2RlpYGZ2dnsRmsICUlBT09PdYxvpuDgwO2bduGnTt3cvrfZfny5Th69Cg6dOiA+fPnCwqtjx49ws6dO1FcXIzly5czTlk9K1asgJeXF1xdXdG7d28AZb1MV69ejcLCQqxfv55xwm9LTU1lHeGHKe+h+yUu9gAUl/6f5dq3b4+MjAyRwuTr16+hra3NKBUBgOHDhwu+1tbWRkJCArKzs6GsrMzZ9yBFRUWsWLGCdYxaIc6v2VzXo0cPhIeHQ1dXFyNHjoSDgwPu37+PEydOoEePHqzjVVuHDh3w6NEjaGhooHPnzvD09ISGhgY8PDw4WdQn3EMrJgkhpJ6Rl5fHtWvXYGRkxDrKdyssLMSOHTsQGhpa4bAYLvX6AoCxY8ciNDQUTZo0QadOnUS2cJ44cYJRsupLTU3FnDlz8N9//wlW6PF4PAwdOhT//PMP57YJtmrVCh4eHjAzMxM6fvr0acydOxcvXrxglIyQuic3N1fwdXh4OJYsWYLVq1cLPrDfuHEDLi4ucHV15XzrClK35OTk4NatWxXeE9jY2DBKVXPBwcGVDsSjHpPsPH78GHl5eTA0NER+fj4cHBwQGRkJHR0dbNmyBerq6qwjVsuBAwdQXFwMW1tb3LlzB6ampsjOzoaUlBR8fHxgaWnJOiIRc1SYJISQekZPTw8HDx6EsbEx6yjfzdraGpcuXcJvv/2G5s2bi6zw4Fo/zWnTpn31fPkAIy7Jzs5GcnIygLIVOVxcwQaUTRaPjY0V2Wb/6NEjGBkZcXI7alJSUqVF/ZUrVzJKRQDg2rVr8PT0xOPHj3Hs2DG0bt0a/v7+0NTURJ8+fVjH+6bytgHlPn848eX3XNuaLk7Gjh1b4cpIHo8HaWlpaGtrw8rKqtJ+wXXNmTNnYG1tjby8PCgoKAj9bDweD9nZ2QzTVd+aNWvg4uICExOTCne4nDx5klEyIu4KCgqQkJAANTU1NG3alHUcUg9QYZIQQiqwePHiKl+7ZcuWH5ik9l26dAlubm6CbRpcpqioiHPnzgm21hLyo3Tv3h3du3cX6Tm7YMEC3L59Gzdu3GCUrGb27t2LOXPmoGnTpmjRooXIB3iurTYWJ4GBgZgyZQqsra3h7++P+Ph4aGlpYefOnTh37hzOnTvHOuI3hYWFVflacZkQz0W2trY4deoUlJSU0LVrVwBlOw1ycnIwbNgwxMTE4MmTJwgODubE+2z79u0xcuRIbNiwgXPDySrSsmVLbN68GVOmTGEdhRBCfigqTBJCSAUGDhxYpet4PB5CQkJ+cJrv92W/qPz8fBQXF0NWVlZkuzCXVhTo6enh8OHDnJkgXBWxsbFITEwEUNbzx8DAgHEiApQVWkaNGgU1NTX07NkTAHD9+nU8e/YM586dQ9++fRknrB51dXXMnTsXS5cuZR2FfMHY2BiLFi2CjY0N5OXlERMTAy0tLdy9excjRoxAeno664hETCxbtgy5ubnYuXOnYOhSaWkpFi5cCHl5eaxfvx6zZ8/GgwcPEB4ezjjttzVu3Bj379/nXKuQyqioqODWrVto164d6ygEovfSX8OFe2lxXoRBuIcKk4QQUg/4+vpW+dqpU6f+wCS16/z589i+fTs8PDw418/nS7du3cL06dMRHx8vtM2xU6dO8PLywi+//MI4IXn58iV27dqFhIQEAICuri7mzp2LVq1aMU5WfQoKCrh3757YfIAXJ7KysoiPj4eGhoZQYfLx48fQ09NDYWEh64g1ZmBggHPnzqFt27aso9RYZR/mP9/+bG5uzom2Fc2aNUNERIRIi4rExET06tULb968wf3799G3b1/k5OSwCVkNFhYWmDhxIiZMmMA6Sq1YunQp5OTk4OzszDoKgfjdS4vbIgzCbTSVmxBCKvH48WNoampydjLl57hwg1QTJiYmKCwshJaWFqdXf8bHx2Pw4MHQ1dXFgQMHoKurKzi+detWDB48GDdu3BCLyeNc8/nrQKtWrTgxfbsqxo8fj0uXLmH27Nmso5AvtGjRAsnJySKtNsLDwzlfSH7y5Ak+ffrEOsZ3uXv3LqKjo1FSUiLovZiYmAhJSUl07NgR//zzDxwcHBAeHl7nX7OLi4uRkJAgUphMSEgQ9P6Ulpau0/dBQUFBgq9HjRoFJycnxMfHw8DAQOSe4MvhZXVdYWEh9uzZg8uXL8PQ0FDk56FVbD+XuN1Lh4aGso5AiAAVJgkhpBI6Ojp49eoVVFVVAQCWlpbYvn07mjdvzjjZ9/l8WurneDweGjVqBCkpqZ+cqOYmTZqEFy9eYMOGDRUOv+GK1atXY+jQoQgMDBT6GYyMjDBp0iRYWFhg9erVOHr0KMOU9ZO4vg5oa2vD2dkZN27cqPADvL29PaNkZObMmVi4cCG8vb3B4/Hw8uVLXL9+HY6OjrRyqg4oXw25f/9+KCgoAADevXuHGTNmoE+fPpg5cyasrKywaNEiXLx4kXHar5syZQqmT5+O5cuXC1bl3759Gxs2bBBMsA4LC0OnTp1YxvyqMWPGiBxzcXEROcbFQUuxsbEwMjICAMTFxQmd4+r9jjhJSUnB/v37kZKSgm3btkFVVRXnz5+Hmppanf6b+Zrk5GSkpKSgX79+kJGRAZ/Pp9818lPQVm5CCKmEhIQE0tPTBQWJz7fUcdmX01K/1KZNG9ja2mLVqlWCnlN1laysLK5fv47OnTuzjvJdmjVrhvPnz8PExKTC87dv38bIkSORmZn5k5MRcX0d0NTUrPQcj8fD48ePf2Ia8jk+n48NGzZg48aNKCgoAAA0atQIjo6OWLt2LeN032fkyJHw8vJCy5YtWUepsdatW+O///4TWQ354MEDDBs2DC9evEB0dDSGDRuGN2/eMEpZNSUlJXB1dcXOnTuRkZEBAGjevDkWLFiApUuXQlJSEmlpaZCQkECbNm0YpyWk7ggLC8OIESPQu3dvXL16FQ8fPoSWlhZcXV0RFRWF48ePs45YLVlZWZgwYQJCQ0PB4/GQlJQELS0t2NnZQVlZGW5ubqwjEjFHKyYJIaSe8fHxwYoVK2Bra4tu3boBKOtv6Ovriz///BOZmZn4+++/0ahRIyxfvpxx2q/r2LEjPnz4wDrGd3v//v1XV+C1aNEC79+//4mJiLhLTU1lHYFUgsfjYcWKFXByckJycjLy8vKgp6cHOTk51tG+Gxcmin/Lu3fv8Pr1a5HCZGZmpmBHgpKSEoqKiljEqxZJSUmsWLECK1asEGQvXwVaTk1NjUU0Quq0ZcuWYd26dVi8eDHk5eUFxwcNGoSdO3cyTFYzixYtQsOGDZGWliZoJwSU7RJZvHgxFSbJD0eFSUIIqQSPxxNZWSgO2xl8fX3h5uYm1Bx+9OjRMDAwgKenJ4KDg6Gmpob169fX+cKkq6srHBwcsH79+gq3o375AauuUldXx61btyodCHHz5k3OD/fhKnF9HShXvqKradOmjJOQL0lJSdX5HoVVlZSUhNDQULx+/RqlpaVC51auXMkoVc2Ym5vDzs4Obm5uQtufHR0dBduKb926JdK3sa7jyvtlRUJCQjB//nzcuHFD5Od49+4devXqhd27d6Nfv36MElaPhYVFla47ceLED05CKnP//n0cOnRI5LiqqmqdXyldkUuXLuHixYsiK6N1dHTw9OlTRqlIfUKFSUIIqQSfz4etrS0aNWoEoKwJ+ezZs9G4cWOh67h2YxgZGQkPDw+R48bGxrh+/ToAoE+fPkhLS/vZ0arN1NQUADB48GCh4+U9cbjST2rixIlYvHgxOnToAH19faFz9+/fh6Ojo6DfF/m5xPF1ICcnBytWrMCRI0fw9u1bAICysjImTpyIdevWQUlJiW1AIlb27t2LOXPmoGnTpmjRooVQYZ/H43GuMOnp6YlFixZh4sSJKC4uBgA0aNAAU6dOxdatWwGUrebft28fy5hVYmxsXOGDls8njNva2lZ5ei8r7u7umDlzZoXFVUVFRcyaNQtbt27lTGFSUVGRdQTyDUpKSnj16pVIW5S7d++idevWjFLVXH5+PmRlZUWOZ2dnC+5/CPmRqMckIYRUYtq0aVW6bv/+/T84Se1q3749LCws4OrqKnR82bJlOHnyJB49eoSoqCiYm5vjxYsXjFJWTVhY2FfP9+/f/ycl+T6FhYUYPHgwbt68iaFDh0JXVxd8Ph8PHz7E5cuX0a1bN4SEhEBaWpp11HpH3F4HsrOz0bNnT7x48QLW1tZCE+APHTqEtm3bIjIyEsrKyoyTEnGhrq6OuXPnYunSpayj1Kq8vDxBL1YtLS1ObrX/3//+h927d8PAwEDQ2uX27duIjY2Fra0t4uPjERwcjBMnTsDc3Jxx2sqpq6vjwoULQltQP5eQkIBhw4Zx4oEr4QZHR0fcvHkTx44dQ/v27REdHY2MjAzY2NjAxsYGq1atYh2xWkaOHImuXbti7dq1kJeXR2xsLNTV1TFx4kSUlpZyrmcm4R4qTBJCSD0TFBSE8ePHo2PHjoJtaFFRUUhISMDx48fx66+/Yvfu3UhKSsKWLVsYp60/ioqKsHXrVgQEBCAxMRFAWRF54sSJWLRoET2xJrXijz/+QHBwMC5fvizS1zQ9PR3Dhg3D4MGDBSu/CPleCgoKuHfvHucHRn1JHKbXzpw5E2pqaiLT3tetW4enT59i7969WLVqFc6ePYuoqChGKb9NWloacXFx0NbWrvB8cnIyDAwMxKInNakbioqKMG/ePPj4+KCkpAQNGjRASUkJrKys4OPjA0lJSdYRqyUuLg6DBw9Gly5dEBISAjMzMzx48ADZ2dmIiIhAu3btWEckYo4Kk4QQUg+lpqZiz549ePToEQCgQ4cOmDVrFjQ0NNgGq4LY2Fjo6+tDQkICsbGxX73W0NDwJ6UihBs0NDTg6emJ4cOHV3j+woULmD17Np48efJzgxGBq1evolevXmjQQLjjUnFxMSIjIzmzHbXc9OnT8csvv2D27Nmso9QKcZpeq6ioiDt37ogU9JKTk9G1a1e8e/cOCQkJ+OWXX+r0ALZ27drBzc1N0OPzSydOnICjo6NghSshtSUtLQ1xcXHIy8uDsbExdHR0WEeqsXfv3mHnzp2IiYlBXl4eunTpgnnz5qFly5aso5F6gHpMEkJIPaSpqYmNGzeyjlEjRkZGSE9Ph6qqKoyMjMDj8VDRMzYu9Zgk5Gd59eoVOnXqVOl5fX19pKen/8RE5EsDBw7Eq1evoKqqKnT83bt3GDhwIOde17S1teHs7IwbN25UOKTM3t6eUbKaEafptdLS0oiMjBQpTEZGRgpah5SWltb5NiIjR46Es7MzTE1NRbJ++PABq1atwq+//sooHRFnampqYjO5XlFREStWrGAdg9RTVJgkhJB6QJxWGaampqJZs2aCrwkhVde0aVM8efJEZPJmudTUVDRp0uQnpyKfq2xLcFZWlsjQJS7Ys2cP5OTkEBYWJtIXmMfjca4wKU7TaxcsWIDZs2fjzp07QhPG9+3bh+XLlwMALl68CCMjI4Ypv+3PP//EiRMn0L59e8yfPx8dOnQAUNZbcteuXSgpKaGCC6k1+fn52LRpE06cOIEnT56Ax+NBU1MTv/32GxwdHSscIlPXJSUl4fTp04KfR0tLC2PGjBEZ7kPIj0JbuQkhpB6QkJAQrDKUkJAQm1WG4rblkZAfzc7ODikpKfjvv/8gJSUldO7jx48YPnw4tLS04O3tzShh/WVhYQEAOH36NExNTYX6ypaUlCA2NhYdOnTAhQsXWEUkAOTl5REdHQ0dHR3Iy8sjJiYGWlpaiIqKwvDhw5GVlcU6YrUcPHgQO3fuFGrtsmDBAlhZWQEoW3FYPqW7Lnv69CnmzJmDixcvCu5veDwehg8fjl27dlGBhdSKoqIi9OrVC3FxcRgxYgQ6duwoGFZ44cIFdOnSBVevXhVZGV6Xbdy4EStXrkRpaSlUVVXB5/ORmZkJSUlJbNiwAY6OjqwjknqACpOEEFIPPH36FGpqauDxeN9c0aGurv6TUn0/SUnJCrc8ZmVlQVVVlRNF1tzcXCgoKLCOQeqJ58+fw8TEBI0aNcK8efOEPlT9888/+PjxI6KiotC2bVvWUeud8gnwvr6+mDBhAmRkZATnpKSkoKGhgZkzZ6Jp06asIn6XN2/eAABn85ej6bV129u3b5GcnAw+nw8dHR0oKyuzjkTEyLZt27Bx40aEhYUJVuaWS0hIwIABA7BixQosWLCAUcLqCQ0NxZAhQ+Ds7IyFCxcK/l6ys7Ph7u6ODRs2ICQkhB70kx+OCpOEEEI4S0JCAhkZGYKt3eUSExNhYmKC3NxcRsmq7vPi6qBBg3DixAkoKSmxjkXEWGpqKubOnYtLly4JrSwaOnQodu7cWelkW/JzrFmzBo6Ojpzctv2lnJwcrFixAkeOHMHbt28BAMrKypg4cSLWrVvHydc6ml5LSP3Vv39/TJgwAfPmzavw/I4dO3D8+HGRthV1laWlJZSUlODp6Vnh+d9//x3v379HQEDAT05G6hsqTBJCSD0QFBRU5WvNzMx+YJLaIU5bHhUVFXHjxg3o6upWWmgl5Ed4+/YtkpKSAJQNKKHekqQ2ZWdno2fPnnjx4gWsra0Fg2Li4+Nx6NAhtG3bFpGRkZxc0SYu02tLSkqwdetWHD16FGlpaSgqKhI6n52dzSgZIXVTs2bNcOXKlUqHyMXFxWHgwIHIzMz8yclqRlNTE/7+/ujTp0+F569duwYbGxvq6U5+OBp+Qwgh9cCYMWOqdB1XekwqKioCKBsSIS8vL7LlsUePHpg5cyareNUyZMgQDBw4UPChfezYsSK9/8qFhIT8zGhEzCkrK6Nbt26sY5AvZGRkwNHREcHBwXj9+rVIP2AuvEYDgIuLC6SkpJCSkoLmzZuLnBs2bBhcXFywdetWRglrrqLptc+fP8fvv/+OPXv2MEpVfWvWrMG+ffvg4OCAP//8EytWrMCTJ09w6tQprFy5knU8QuqcnJwcqKioVHpeRUUF7969+4mJvk9GRgY0NDQqPa+pqYn09PSfF4jUW7RikhBCCGeJw5bHDx8+wNfXFykpKXBzc8PMmTMrnejIxQ/whJDqGTFiBNLS0jB//ny0bNlSZEK3ubk5o2TVo6GhAU9PTwwfPrzC8xcuXMDs2bPx5MmTnxvsB4mJiUGXLl04UzgGgHbt2mH79u0YNWoU5OXlce/ePcGxGzdu4NChQ6wjElKnSEpKIj09vdKdLRkZGWjVqhVnXgc+H45ZEa79PIS7aMUkIYTUA02aNEFSUhJUVFRgZ2eHbdu2QV5ennWs77Zq1SrWEb6bjIwMZs+eDQCIiorCpk2bONl3jRBSO8LDw3Ht2jUYGRmxjvJdXr16Vel2RwDQ19enlTiMpaenw8DAAAAgJycnWOn166+/wtnZmWU0QuokPp+PwYMHo0GDissoxcXFPznR99u3bx/k5OQqPPf+/fufnIbUV1SYJISQeqCoqAjv3r2DiooKfH19sWnTJrEoTIqb0NBQwdefDyUhhNQfbdu2Fdm+zUVNmzbFkydP0KZNmwrPp6amUl9Txtq0aYNXr15BTU0N7dq1w6VLl9ClSxfcvn1bqHczIaRMVR6Ijxs37ickqR1qamrYu3fvN68h5EejrdyEEFIPDB06FBkZGejatSt8fX1haWkp1Jfxc97e3j85Hfmcn58f/vrrL8FQkvbt28PJyQlTpkxhnIwQ8jNcunQJbm5u8PT0/Grvr7rOzs4OKSkp+O+//0T65n78+BHDhw+HlpaW2LzncHEr97Jly6CgoIDly5fjyJEjmDx5MjQ0NJCWloZFixbB1dWVdURCCCH1ABUmCSGkHsjIyMDWrVuRkpKCEydOYPjw4ZWuhjh58uRPTkfKbdmyBc7Ozpg/fz569+4NoGxb565du7Bu3TosWrSIcUJCyI+grKwstDo6Pz8fxcXFkJWVRcOGDYWu5cqk5OfPn8PExASNGjXCvHnz0LFjR/D5fDx8+BD//PMPPn78iKioKLRt25Z11CqxsLD46vmcnByEhYVxqjD5pevXr+P69evQ0dHB6NGjWcchhBBST1BhkhBC6hlNTU1ERUV9daogYUNTUxNr1qyBjY2N0HFfX1+sXr0aqampjJIRQn4kX1/fKl87derUH5ikdqWmpmLu3Lm4dOmSUHuKoUOHYufOndDW1macsOqmTZtWpev279//g5MQQggh4oUKk4QQQjhl+/btVb7W3t7+ByapfdLS0oiLixP5sJ6UlAQDAwMUFhYySkYIITX39u1bQXsKbW1t6i1ZR2RlZQkeUj579gx79+7Fhw8fYGZmhr59+zJORwghpL6gwiQhhNRDwcHBCA4OxuvXr1FaWip0rq73+9LU1KzSdTweD48fP/7BaWqXvr4+rKyssHz5cqHj69atw5EjR3D//n1GyQghP0tubm6Fx3k8Hho1aiTSr5GQ6rp//z5Gjx6NZ8+eQUdHB4cPH4apqSny8/MhISGB/Px8HD9+HGPGjGEdlRBCSD1AhUlCCKln1qxZAxcXF5iYmKBly5YiU5+pxyQ7gYGBsLS0xJAhQwQ9JiMiIhAcHIyjR49i7NixjBMSQn40CQkJkdflz7Vp0wa2trZYtWoVJCQkfmIyIi5GjBiBBg0aYNmyZfD398e///6L4cOHC6bzLliwAHfu3MGNGzcYJyWk7issLIS0tDTrGIRwGhUmCSGknmnZsiU2b95MU57rqDt37mDr1q14+PAhAEBXVxcODg4wNjZmnIwQ8jP4+flhxYoVsLW1Rbdu3QAAt27dgq+vL/78809kZmbi77//hpOTk8jqakKqomnTpggJCYGhoSHy8vKgoKCA27dvo2vXrgCAhIQE9OjRAzk5OWyDElJHlZaWYv369fDw8EBGRgYSExOhpaUFZ2dnaGhoYPr06awjflNlq/MroqCg8AOTEEKFSUIIqXdUVFRw69YttGvXjnWUWvH8+XMEBQUhLS0NRUVFQue2bNnCKBUhhNTM4MGDMWvWLEyYMEHo+NGjR+Hp6Yng4GD4+/tj/fr1SEhIYJSScJmEhATS09OhqqoKAJCXl0dMTAy0tLQAABkZGWjVqhWnJ4wT8iO5uLjA19cXLi4umDlzJuLi4qClpYUjR47A3d0d169fZx3xm761Oh8A+Hw+eDwevRaQH64B6wCEEEJ+rhkzZuDQoUNwdnZmHeW7BQcHw8zMDFpaWkhISIC+vj6ePHkCPp+PLl26sI5HCCHVFhkZCQ8PD5HjxsbGgg+7ffr0QVpa2s+ORsTIlwWJbxUoCCH/x8/PD3v27MHgwYMxe/ZswfHOnTtz5oFRaGgo6wiECFBhkhBC6pnCwkLs2bMHly9fhqGhIRo2bCh0nkurDP/3v//B0dERa9asgby8PAIDA6Gqqgpra2uYmpqyjkcIIdXWtm1beHl5wdXVVei4l5cX2rZtC6BsmrKysjKLeERM2NraolGjRgDK7gtmz56Nxo0bAwA+fvzIMhohdd6LFy+gra0tcry0tBSfPn1ikKj6+vfvzzoCIQJUmCSEkHomNjYWRkZGAIC4uDihc1xbMfHw4UMEBAQAABo0aIAPHz5ATk4OLi4uMDc3x5w5cxgnJISQ6vn7778xfvx4nD9/Hr/88gsAICoqCgkJCTh+/DgA4Pbt27C0tGQZk3DY1KlThb6fPHmyyDU2NjY/Kw4hnKOnp4dr165BXV1d6Pjx48c53RO8oKCgwtZIhoaGjBKR+oIKk4QQUs+I09aNxo0bC26eWrZsiZSUFHTq1AkA8ObNG5bRCCGkRszMzJCQkIA9e/bg0aNHAMqmKJ86dQoaGhoAQA9dyHfZv38/6wiEcNrKlSsxdepUvHjxAqWlpThx4gQePXoEPz8//Pvvv6zjVVtmZiamTZuG8+fPV3ieekySH40Kk4QQQjirR48eCA8Ph66uLkaOHAkHBwfcv38fJ06cQI8ePVjHq7Hk5GSkpKSgX79+kJGRETQfJ4TUD5qamti4cSPrGIQQQipgbm6OM2fOwMXFBY0bN8bKlSvRpUsXnDlzBkOHDmUdr9r++OMP5OTk4ObNmxgwYABOnjyJjIwMrFu3Dm5ubqzjkXqApnITQkg9YWFhUaXrTpw48YOT1J7Hjx8jLy8PhoaGyM/Ph4ODAyIjI6Gjo4MtW7aIbLGp67KysmBpaYmQkBDweDwkJSVBS0sLdnZ2UFZWpptDQsRUbGws9PX1ISEhgdjY2K9eS1vqCCGEneLiYmzYsAF2dnZo06YN6zi1omXLljh9+jS6desGBQUFREVFoX379ggKCsLmzZsRHh7OOiIRc7RikhBC6glFRUXWEWqdlpaW4OvGjRtXOMmWSxYtWoQGDRogLS0Nurq6guOWlpZYvHgxFSYJEVNGRkZIT0+HqqoqjIyMwOPxUNHaAR6PR1vqCCGEoQYNGmDz5s1i1Yc1Pz8fqqqqAABlZWVkZmaiffv2MDAwQHR0NON0pD6gwiQhhNQT4thTasaMGZg8eTIGDBjAOkqtuHTpEi5evCjyBF5HRwdPnz5llIoQ8qOlpqaiWbNmgq8JIYTUXYMHD0ZYWJig7y/XdejQAY8ePYKGhgY6d+4MT09PaGhowMPDAy1btmQdj9QDVJgkhBDCWZmZmTA1NUWzZs0wceJETJ48GZ07d2Ydq8by8/MhKysrcjw7OxuNGjVikIgQ8jN83naCay0oCCGkvhkxYgSWLVuG+/fvo2vXrmjcuLHQeTMzM0bJambhwoV49eoVAGDVqlUwNTXFwYMHISUlBR8fH7bhSL1APSYJIYRw2tu3b3Hs2DEcOnQI165dQ8eOHWFtbQ0rKyvOPckeOXIkunbtirVr10JeXh6xsbFQV1fHxIkTUVpaiuPHj7OOSAj5AYKCgqp8Ldc+8BJCiLiRkJCo9Jw4tNwoKChAQkIC1NTU0LRpU9ZxSD1AhUlCCCFi4/nz5wgICIC3tzeSkpJQXFzMOlK1xMXFYfDgwejSpQtCQkJgZmaGBw8eIDs7GxEREWjXrh3riISQH+BrH3I/Jw4feAkhhNQt4eHh6NOnD+sYpB6r2l0QIYQQUsd9+vQJUVFRuHnzJp48eYLmzZuzjlRt+vr6SExMRJ8+fWBubo78/HxYWFjg7t27VJQkRIyVlpZW6T8qShJCCKltgwYNgqamJpYvX474+HjWcUg9RCsmCSGEcFpoaCgOHTqEwMBAlJaWwsLCAtbW1hg0aBB4PB7reIQQ8k1NmjRBUlISVFRUYGdnh23btkFeXp51LEIIIRVwcXH56vmVK1f+pCS1482bNzh8+DACAgJw/fp1GBoawtraGpMmTRIZyEjIj0CFSUIIIZzVunVrZGdnw9TUFNbW1hg9ejSnh8RcuHABcnJygu00u3btwt69e6Gnp4ddu3ZBWVmZcUJCyI8gJyeH2NhYaGlpQVJSEunp6YIp3YQQQuoWY2Njoe8/ffqE1NRUNGjQAO3atUN0dDSjZN8vNTUVhw4dQkBAABISEtCvXz+EhISwjkXEHBUmCSGEcNbevXsxfvx4KCkpsY5SKwwMDLBp0yaMHDkS9+/fh4mJCRwcHBAaGoqOHTti//79rCMSQn6AoUOHIiMjA127doWvry8sLS0hIyNT4bXe3t4/OR0hhJBvyc3Nha2tLcaOHYspU6awjvNdSkpKcP78eTg7OyM2NpbaiJAfjgqThBBCSB0hJyeHuLg4aGhoYPXq1YiLi8Px48cRHR2NkSNHIj09nXVEQsgPkJGRga1btyIlJQUnTpzA8OHDK139ffLkyZ+cjhBCSFXcv38fo0ePxpMnT1hHqZGIiAgcPHgQx48fR2FhIczNzWFtbQ1TU1PW0YiYa8A6ACGEEFIdFhYW8PHxgYKCAiwsLL567YkTJ35SqtohJSWFgoICAMDly5dhY2MDoKz/XG5uLstohJAfqHnz5nB1dQUAaGpqwt/fHyoqKoxTEUIIqY53797h3bt3rGNU2//+9z8cPnwYL1++xNChQ7Ft2zaYm5tDVlaWdTRST1BhkhBCCKcoKioKhtooKioyTlO7+vTpg8WLF6N37964desWjhw5AgBITEyk5uOE1BOpqamsIxBCCPmK7du3C33P5/Px6tUr+Pv7Y8SIEYxS1dzVq1fh5OSECRMmoGnTpqzjkHqItnITQgjhJD6fj2fPnqFZs2aV9mLjmrS0NMydOxfPnj2Dvb09pk+fDgBYtGgRSkpKRG6ECSHiKTg4GMHBwXj9+jVKS0uFzlGPSUIIYUtTU1PoewkJCTRr1gyDBg3C//73P8jLyzNKRgg3UWGSEEIIJ5WWlkJaWhoPHjyAjo4O6ziEEFIr1qxZAxcXF5iYmKBly5aCFeLlqMckIYSQ7xUUFIQRI0agYcOGCAoK+uq1ZmZmPykVqa+oMEkIIYSzOnXqBC8vL/To0YN1lFpXWFiIoqIioWMKCgqM0hBCfpaWLVti8+bNnJ/qSggh4srOzg7btm0TWRmZn5+PBQsWcGJlu4SEBNLT06GqqgoJCYlKr+PxeDSVm/xwVJgkhBDCWWfOnMHmzZuxe/du6Ovrs47z3fLz87F06VIcPXoUWVlZIufpxpAQ8aeiooJbt26hXbt2rKMQQgipgKSkJF69egVVVVWh42/evEGLFi1QXFzMKBkh3FR5aZwQQgip42xsbHDr1i107twZMjIyaNKkidB/XLNkyRKEhIRg9+7daNSoEfbt24c1a9agVatW8PPzYx2PEPITzJgxA4cOHWIdgxBCyBdyc3Px7t078Pl8vH//Hrm5uYL/3r59i3PnzokUK+u6T58+YfDgwUhKSmIdhdRjNJWbEEIIZ7m7u7OOUKvOnDkDPz8/DBgwANOmTUPfvn2hra0NdXV1HDx4ENbW1qwjEkJ+sMLCQuzZsweXL1+GoaEhGjZsKHR+y5YtjJIRQkj9pqSkBB6PBx6Ph/bt24uc5/F4WLNmDYNkNdewYUPExsayjkHqOSpMEkII4aRPnz4hLCwMzs7OItMRuSo7OxtaWloAyvpJZmdnAwD69OmDOXPmsIxGCPlJYmNjYWRkBACIi4sTOvflIBxCCCE/T2hoKPh8PgYNGoTAwECh3TlSUlJQV1dHq1atGCasmcmTJ8PLywuurq6so5B6igqThBBCOKlhw4YIDAyEs7Mz6yi1RktLC6mpqVBTU0PHjh1x9OhRdOvWDWfOnIGSkhLreISQnyA0NJR1BEIIIRXo378/iouLMXXqVJiYmKBt27asI9WK4uJieHt74/Lly+jatSsaN24sdJ5W6pMfjYbfEEII4aypU6fCyMgIixYtYh2lVmzduhWSkpKwt7fH5cuXMXr0aPD5fHz69AlbtmzBwoULWUckhBBCCKnX5OXlcf/+fWhoaLCOUisGDhxY6Tkej4eQkJCfmIbUR1SYJIQQwlnr1q2Dm5sbBg8eXOETXnt7e0bJasfTp09x584daGtrw9DQkHUcQsgPZGFhUaXrTpw48YOTEEII+Rpzc3NYWFhg6tSprKN8t5KSEkRERMDAwADKysqs45B6igqThBBCOOtrvSV5PB4eP378E9MQQkjNTZs2rUrX7d+//wcnIYQQ8jUeHh5Ys2YNrK2tK3wwbmZmxihZzUhLS+Phw4di07OdcA8VJgkhhBDGRo4ciYCAACgqKgIAXF1dMXv2bEFfyaysLPTt2xfx8fEMUxJCCCGEEAkJiUrP8Xg8lJSU/MQ038/ExASbNm3C4MGDWUch9VTlf1GEEEIIRz18+BCOjo6sY1TZxYsX8fHjR8H3GzZsEEzkBsqakj969IhFNEIIIYQQ8pnS0tJK/+NaURIoa43k6OiIf//9F69evUJubq7Qf4T8aLRikhBCiFjIz8/H4cOH4eXlhRs3bkBPTw9xcXGsY1WJhIQE0tPToaqqCqCsqXpMTAy0tLQAABkZGWjVqhUnb3YJIYQQQkjd9fkKUB6PJ/iaz+dzcgUo4Z4GrAMQQggh3yMiIgJeXl44evQoPnz4gEWLFsHb2xsdO3ZkHY0QQgghhIih/Px8hIWFIS0tDUVFRULnuDZ8MTQ0lHUEUs9RYZIQQgjnvH79Gj4+PvD29sa7d+8wadIkXLlyBT179oSdnR3nipI8Hk/oCXX5MUIIIYQQUrfcvXsXI0eOREFBAfLz89GkSRO8efMGsrKyUFVV5Vxhsn///pWe48ruI8JtVJgkhBDCOerq6vjtt9+wbds2DB069KtNyLmAz+fD1tYWjRo1AgAUFhZi9uzZgimPn/efJIQQQggh7CxatAijR4+Gh4cHFBUVcePGDTRs2BCTJ0/GwoULWcf7bu/fv0dAQAD27duHO3fu0FZu8sNRYZIQQgjnqKurIzw8HGpqalBXV+fcCskvTZ06Vej7yZMni1xjY2Pzs+IQQgghhJBK3Lt3D56enpCQkICkpCQ+fvwILS0tbN68GVOnToWFhQXriDVy9epVeHl5ITAwEK1atYKFhQV27drFOhapB6gwSQghhHMSEhIEvSV/+eUXtG/fXlDM4+IW6P3797OOQAghhBBCqqBhw4aC3TqqqqpIS0uDrq4uFBUV8ezZM8bpqic9PR0+Pj7w8vJCbm4uJkyYgI8fP+LUqVPQ09NjHY/UE9ze+0YIIaTe6t27N7y9vfHq1SvMnj0bx44dQ0lJCebOnYu9e/ciMzOTdURCCCGEECJmjI2Ncfv2bQBl/RlXrlyJgwcP4o8//oC+vj7jdFU3evRodOjQAbGxsXB3d8fLly+xY8cO1rFIPcTj8/l81iEIIYSQ2vDw4UN4eXnB398f2dnZ+PTpE+tIhBBCCCFEjERFReH9+/cYOHAgXr9+DRsbG0RGRkJHRwfe3t7o3Lkz64hV0qBBA9jb22POnDnQ0dERHG/YsCFiYmJoxST5aagwSQghhHNCQkLQv39/SEpKVni+uLgYQUFBnO3xQwghhBBCyI9048YNeHl54ciRI9DV1cWUKVMwceJEtGzZkgqT5KeiwiQhhBDO0dLSQk5ODkxNTWFubo4RI0ZAQUGBdSxCCCGEEFJPvH79Go8ePQIAdOzYEc2aNWOcqGby8/Nx5MgReHt749atWygpKcGWLVtgZ2cHeXl51vFIPUCFSUIIIZwUGxuLoKAgBAUF4f79++jTpw/MzMxgbm4ONTU11vEIIYQQQogYev/+PebOnYvDhw+jpKQEACApKQlLS0vs2rULioqKjBPW3KNHjwRtkXJycjB06FAEBQWxjkXEHBUmCSGEcN7Lly8FRcrQ0FB06NABZmZmMDMzg4mJCet4hBBCCCFETFhaWuLu3bvYsWMHevbsCQC4fv06Fi5cCCMjIxw+fJhxwu9XUlKCM2fOwNvbmwqT5IejwiQhhBCxkp+fj/PnzyMoKAjnzp3D4sWLsXz5ctaxCCGEEEKIGGjcuDEuXryIPn36CB2/du0aTE1NkZ+fzygZIdzUgHUAQgghpDYUFhZCWloajRs3xm+//YbffvsNJSUlyM7OZh2NEEIIIYSICRUVlQq3aysqKkJZWZlBIkK4TYJ1AEIIIaSmSktLsXbtWrRu3RpycnJ4/PgxAMDZ2RleXl6QlJTkbCNyQgghhBBS9/z5559YvHgx0tPTBcfS09Ph5OQEZ2dnhskI4Sbayk0IIYSzXFxc4OvrCxcXF8ycORNxcXHQ0tLCkSP/r737C826/Bs4/rnn+s0aMTPmZFJhtbII1rQTIRjOJU7YWrizmltS2ElFQqhgCz3wIDqo6KBCVObRAzYMZSiVMJVMHJO2A/9SazEcIro/Llj7cz8HPxCGzak8z/3tu16vs13XffA+Uz5c1/f6n/jss8/i1KlTSScCADCHVFRUxOXLl2NsbOzWg4t9fX1RUFAQZWVl037b1dWVRCKkiqvcAKRWa2trfPPNN7F69ep45513bq2Xl5fH+fPnEywDAGAuqq+vTzoB5hSDSQBSq7+/P55++unb1qempmJ8fDyBIgAA5rKPP/446QSYU3xjEoDUev755+PEiRO3rR84cCAqKioSKAIAYK4bHByM3bt3x7Zt2249tNjV1RX9/f0Jl0H6ODEJQGq1tLREU1NT9Pf3x9TUVLS1tcWFCxeitbU1Dh8+nHQeAABzTHd3d1RXV0dRUVH09vbG22+/HQsXLoy2trbo6+uL1tbWpBMhVZyYBCC1Xn311Th06FD88MMPUVhYGC0tLXHu3Lk4dOhQvPLKK0nnAQAwx2zevDmam5vj0qVLMX/+/Fvr69ati+PHjydYBunkxCQAqTQxMRG7du2KjRs3xvfff590DgAA/wJnzpyJr7/++rb1JUuWxMDAQAJFkG5OTAKQSvn5+fHJJ5/ExMRE0ikAAPxLFBQUxPDw8G3rFy9ejOLi4gSKIN0MJgFIrdWrV0dHR0fSGQAA/EvU1dXFzp07Y3x8PCIiMplM9PX1xZYtW2L9+vUJ10H6ZLLZbDbpCAC4H1999VXs2LEjXn/99VixYkUUFhZO26+rq0uoDACAuWhoaCgaGhqis7MzRkZGorS0NAYGBmLlypXR3t5+2/9HgTszmAQgtfLyZj74n8lkYnJyMoc1AAD8W5w8eTK6u7vj5s2bsXz58qiurk46CVLJYBIAAAAAyDmvcgMAAADMYmpqKvbt2xdtbW3R29sbmUwmli5dGg0NDdHY2BiZTCbpREgdJyYBSK2dO3fecb+lpSVHJQAAzGXZbDZqa2ujvb09ysvLY9myZZHNZuPcuXPR09MTdXV1cfDgwaQzIXUMJgFIrYqKiml/j4+Px2+//Rb5+fnx1FNPRVdXV0JlAADMJXv37o33338/vvvuu1i1atW0vWPHjkV9fX18+eWXsWHDhoQKIZ0MJgGYU4aHh6O5uTlee+21aGxsTDoHAIA5YM2aNVFVVRVbt2792/1du3ZFR0dHHD16NMdlkG4GkwDMOT09PVFbWxu9vb1JpwAAMAcsXrw4jhw5Ei+++OLf7p89ezZqampiYGAgt2GQcnlJBwDA/7WhoaEYGhpKOgMAgDni+vXrUVJSMuN+SUlJ3LhxI4dFMDd4lRuA1Priiy+m/Z3NZuPKlSuxf//+qKmpSagKAIC5ZnJyMvLzZx6hzJs3LyYmJnJYBHODq9wApNbSpUun/Z2XlxfFxcVRVVUV27Zti4cffjihMgAA5pK8vLyoqamJgoKCv90fGxuLI0eOxOTkZI7LIN0MJgEAAADu4M0337yr3+3du/f/uQTmFoNJAFJr48aN8fnnn992MnJ0dDTefffd2LNnT0JlAAAAzMZgEoDUmjdvXly5ciUWLVo0bf3atWuxePFi3/kBAAD4B/P4DQCpMzw8HNlsNrLZbIyMjMT8+fNv7U1OTkZ7e/ttw0oAAAD+WQwmAUidBQsWRCaTiUwmE88888xt+5lMJnbs2JFAGQAAAHfLVW4AUqejoyOy2WxUVVXFt99+GwsXLry195///CeeeOKJKC0tTbAQAACA2TgxCUDqVFZWxsTERDQ1NcVLL70Ujz32WNJJAAAA3KO8pAMA4H7k5+fHgQMHYnJyMukUAAAA7oPBJACpVVVVFR0dHUlnAAAAcB9c5QYgtWpqamLr1q3R09MTK1asiMLCwmn7dXV1CZUBAAAwG4/fAJBaeXkzH/zPZDKueQMAAPyDGUwCAAAAADnnG5MAAAAAQM75xiQAqTY6OhodHR3R19cXf/3117S99957L6EqAAAAZuMqNwCpdfbs2Vi3bl38+eefMTo6GgsXLoxr167FQw89FIsWLYpff/016UQAAABm4Co3AKn1wQcfRG1tbdy4cSMefPDB+Pnnn+P333+PFStWxKeffpp0HgAAAHfgxCQAqbVgwYI4ffp0PPvss7FgwYI4depUPPfcc3H69OloamqK8+fPJ50IAADADJyYBCC1HnjggcjL++8/ZYsWLYq+vr6IiCgqKoo//vgjyTQAAABm4fEbAFKroqIizpw5E2VlZVFZWRktLS1x7dq12L9/f7zwwgtJ5wEAAHAHrnIDkFqdnZ0xMjISq1atiqtXr8aGDRvip59+irKystizZ0+Ul5cnnQgAAMAMDCYBAAAAgJxzlRuA1Lt69WpcuHAhIiKWLVsWxcXFCRcBAAAwG4/fAJBaIyMj0djYGEuWLInKysqorKyM0tLSeOONN2JoaCjpPAAAAO7AYBKA1Hrrrbfi9OnTcfjw4RgcHIzBwcE4fPhwdHZ2xqZNm5LOAwAA4A58YxKA1CosLIyjR4/Gyy+/PG39xIkTsXbt2hgdHU2oDAAAgNk4MQlAaj366KNRVFR023pRUVE88sgjCRQBAABwtwwmAUit7du3x+bNm2NgYODW2sDAQHz44Yfx0UcfJVgGAADAbFzlBiC1Kioq4vLlyzE2NhaPP/54RET09fVFQUFBlJWVTfttV1dXEokAAADMID/pAAC4X/X19UknAAAAcJ+cmAQAAAAAcs43JgFItcHBwdi9e3ds27Ytrl+/HhH/vbbd39+fcBkAAAB34sQkAKnV3d0d1dXVUVRUFL29vXHhwoV48sknY/v27dHX1xetra1JJwIAADADJyYBSK3NmzdHc3NzXLp0KebPn39rfd26dXH8+PEEywAAAJiNwSQAqXXmzJnYtGnTbetLliyJgYGBBIoAAAC4WwaTAKRWQUFBDA8P37Z+8eLFKC4uTqAIAACAu2UwCUBq1dXVxc6dO2N8fDwiIjKZTPT19cWWLVti/fr1CdcBAABwJx6/ASC1hoaGoqGhITo7O2NkZCRKS0tjYGAgVq5cGe3t7VFYWJh0IgAAADMwmAQg9U6ePBnd3d1x8+bNWL58eVRXVyedBAAAwCwMJgEAAACAnMtPOgAA7sfU1FTs27cv2traore3NzKZTCxdujQaGhqisbExMplM0okAAADcgROTAKRONpuN2traaG9vj/Ly8li2bFlks9k4d+5c9PT0RF1dXRw8eDDpTAAAAO7AiUkAUmffvn1x/Pjx+PHHH2PVqlXT9o4dOxb19fXR2toaGzZsSKgQAACA2TgxCUDqrFmzJqqqqmLr1q1/u79r167o6OiIo0eP5rgMAACAu5WXdAAA3Kvu7u5Yu3btjPs1NTXxyy+/5LAIAACAe2UwCUDqXL9+PUpKSmbcLykpiRs3buSwCAAAgHtlMAlA6kxOTkZ+/syfSZ43b15MTEzksAgAAIB75fEbAFInm81Gc3NzFBQU/O3+2NhYjosAAAC4VwaTAKROU1PTrL/xIjcAAMA/m1e5AQAAAICc841JAAAAACDnDCYBAAAAgJwzmAQAAAAAcs5gEgAAAADIOYNJAAAAACDnDCYBAAAAgJwzmAQAAAAAcs5gEgAAAADIuf8FCS1+kr8kWUgAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1500x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# correlation matrix\n",
    "corr = df.corr(numeric_only = True)\n",
    "plt.figure(figsize=(15,8))\n",
    "plt.title(\"Correlation Matrix\")\n",
    "sns.heatmap(corr, annot = True, fmt = \".2f\", cmap = \"Blues\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {},
   "outputs": [],
   "source": [
    "airline[\"Type of Travel\"].replace([\"Business travel\"], \"Business Travel\", inplace = True)\n",
    "df[\"Type of Travel\"].replace([\"Business travel\"], \"Business Travel\", inplace = True)\n",
    "\n",
    "airline[\"Customer Type\"].replace([\"disloyal Customer\"], \"Disloyal Customer\", inplace = True)\n",
    "df[\"Customer Type\"].replace([\"disloyal Customer\"], \"Disloyal Customer\", inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Personal Travel', 'Business Travel'], dtype=object)"
      ]
     },
     "execution_count": 195,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"Type of Travel\"].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['satisfaction_v2', 'Gender', 'Customer Type', 'Age', 'Type of Travel',\n",
       "       'Class', 'Flight Distance', 'Inflight wifi service',\n",
       "       'Departure/Arrival time convenient', 'Ease of Online booking',\n",
       "       'Gate location', 'Food and drink', 'Online boarding', 'Seat comfort',\n",
       "       'Inflight entertainment', 'On-board service', 'Leg room service',\n",
       "       'Baggage handling', 'Checkin service', 'Inflight service',\n",
       "       'Cleanliness', 'Departure Delay in Minutes',\n",
       "       'Arrival Delay in Minutes'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 196,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# list our colum names in our data frame\n",
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# count plot of classes in Online Boarding ratings \n",
    "sns.countplot(x = \"satisfaction_v2\", data = df)\n",
    "plt.title(\"Satisfaction Level Count\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# count plot of classes in Online Boarding ratings \n",
    "sns.countplot(x = \"Online boarding\", data = df)\n",
    "plt.title(\"Online Boarding Satisfaction Rating Count\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# count plot of classes in Inflight Entertainment ratings\n",
    "sns.countplot(x = \"Inflight entertainment\", data = df)\n",
    "plt.title(\"Inflight Entertainment Satisfaction Rating Count\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Airline Class Count\n",
    "sns.countplot(x = \"Class\", data = df)\n",
    "plt.title(\"Airline Class Count\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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/QmXeP82bN1etWrW0a9euKu3lcqNrV7rfU1W//+E4hCbgGgUHB6u0tFSZmZlq0aKFbfmBAweua7vXeqmjc+fOevPNN/X999+rQYMGCgkJkcVi0R133KG1a9dq7dq1euihh66rJzPq1q2r/v37q3///iouLtajjz6qSZMmady4cfL19ZWnp6dKSkoUFRV1Xfvp37+/Xn31VX3xxRfy9/dXQUGBnnjiiSu+pmwy7e7duy87ElhWY7Var7vHizVt2lT16tXT0aNHJUm7du3Sf/7zH82fP19//etfbXUpKSnlXnutvwsNGzbUc889p+eee045OTlq3769Jk2adMXQtHr1ah0/flxffvmlIiMjbcszMzPt6i4+h1c6P2Z79vX1VZ06dbRv375y6/bu3SsnJycFBQWZ2taV1KlTR/fff79WrVqlw4cPX3WbwcHB+v7773Xq1Cm70aayy5TBwcGS/t8oUV5ent3rr2ckSqrcpU7ceFyeA65R2Se13nvvPbvl77777nVtt27duuX+Ir6Szp07q6ioSNOnT9d9991n+0u3c+fOWrBggY4cOfKHzmeSpOPHj9s9d3FxUWhoqAzD0Pnz5+Xs7Ky+ffvqiy++qPB+OGY/rSj9PqrVunVrLV68WIsXL1bDhg3t/rGvSI8ePeTp6anJkyfr3LlzduvK/pcfFhamZs2a6a233qrw7t1X63Hz5s0qLCwst3zLli06fvy47TJU2WjDxaMLhmFoxowZ5V5bt25dSeX/Yb5USUlJuct6fn5+CgwMVFFR0RVfW1E/xcXF5X6v27dvryZNmmj69Onl+rn4tWZ7dnZ2Vo8ePfT111/bfd1Ndna2Fi1apPvuu892ae16jR8/XoZh6Mknn6zwZ5uenq758+dLkh588EGVlJRo5syZdjXTpk2TxWKxBVCr1aoGDRrYfXpVKv/3wbW61vc/HIORJuAahYWFqW/fvpo+fbqOHz9uu+XAf/7zH0mV/x9jWFiYvv/+e73zzjsKDAxUkyZNyn30+mIRERGqVauW9u3bZ/uYsiRFRkZq9uzZkvSHh6YePXooICBA9957r/z9/fXzzz9r5syZ6t27t+1/62+88YZ++OEHhYeH6+mnn1ZoaKhOnDih7du36/vvv9eJEydM769///5KTEyUm5ubhg4detWbXlqtVk2bNk3Dhg1Tx44dNXDgQNWrV08//vijzpw5o/nz58vJyUlz585Vr169dMcdd2jIkCH605/+pP/+97/64YcfZLVa9e233152HwsWLNDChQv15z//WWFhYXJxcdHPP/+sjz76SG5ubvrb3/4mSQoJCVGzZs300ksv6b///a+sVqu++OKLCue1hIWFSZKef/55RUdHy9nZucJRtVOnTqlRo0bq16+f2rZtKw8PD33//ffaunWr3n777Suem3vuuUf16tVTTEyMnn/+eVksFi1YsKDcJSMnJyfNnj1bDz/8sNq1a6chQ4aoYcOG2rt3r/bs2aOVK1deU8+S9PrrryslJUX33XefnnvuOdWqVUvvv/++ioqKNGXKlCv2fS3uuecezZo1S88995xCQkL05JNPqkWLFjp16pRWr16tb775Rq+//rok6eGHH1a3bt3097//Xb/88ovatm2r7777Tl9//bVGjRpldwuAYcOG6Y033tCwYcPUoUMHrVmzxvb+r6xrff/DQW78B/aAqnGlm1teqqKP2lf2lgOGYRiFhYVGbGys4ePjY3h4eBh9+vQx9u3bZ0gy3njjjXKvvfSj3hXdhHHv3r1GZGSk4e7ubvrmdh07djQkGZs3b7YtK7vJZlBQkKnzcD23HHj//feNyMhIo379+oarq6vRrFkzY8yYMUZ+fr5dXXZ2thEbG2sEBQUZtWvXNgICAozu3bsbH3zwga2m7JYDn3322WX3t3//ftvN/yq68eTlbm75zTffGPfcc4/h7u5uWK1Wo1OnTsa///1vu5odO3YYjz76qO1YgoODjccff9xITU294jnYuXOnMWbMGKN9+/aGj4+PUatWLaNhw4bGY489Zmzfvt2u9qeffjKioqIMDw8Po0GDBsbTTz9t+2j8xb9zFy5cMEaOHGn4+voaFovlsjeKLCoqMsaMGWO0bdvWdpPItm3bGu+9957dfi/3e7h+/Xrj7rvvNtzd3Y3AwEBj7NixxsqVK+1uclpm3bp1xgMPPGDbT5s2bYx33333mnsus337diM6Otrw8PAw6tSpY3Tr1s3YsGGDXc3lviqp7Hfl0h4vJz093Rg4cKARGBho1K5d26hXr57RvXt3Y/78+XY3JT116pQxevRoW12LFi3K3dzSMH6/VcPQoUMNLy8vw9PT03j88ceNnJycy95y4I96/+PGsxgGM9GAqpCRkaG77rpL/+f//B8NGjTI0e0AAKoYc5qASjh79my5ZdOnT5eTk9NV59kAAGom5jQBlTBlyhSlp6erW7duqlWrllasWKEVK1bomWeeqZJP/gAAqh8uzwGVkJKSoldffVU//fSTTp8+rcaNG+vJJ5/U3//+9+u+bxAAoHoiNAEAAJjAnCYAAAATCE0AAAAmMPmiipSWlurIkSPy9PTkdvgAANQQhmHo1KlTCgwMvOoNcwlNVeTIkSN8agoAgBrq8OHDatSo0RVrCE1VpOwrIw4fPlxl35sEAAD+WAUFBQoKCrL7oubLITRVkbJLclarldAEAEANY2ZqDRPBAQAATCA0AQAAmEBoAgAAMIHQBAAAYAKhCQAAwARCEwAAgAmEJgAAABMITQAAACYQmgAAAEwgNAEAAJhAaAIAADCB0AQAAGACoQkAAMAEQhMAAIAJhCYAAAATajm6AQCOde+79zq6hWph/cj1jm4BQDVHaAKAKpAW2cXRLVQbXdakOboF4A/B5TkAAAATCE0AAAAmEJoAAABMIDQBAACYQGgCAAAwgdAEAABgAqEJAADABEITAACACYQmAAAAEwhNAAAAJhCaAAAATCA0AQAAmEBoAgAAMIHQBAAAYAKhCQAAwARCEwAAgAmEJgAAABMITQAAACY4NDTNnj1bbdq0kdVqldVqVUREhFasWGFbf+7cOcXGxqp+/fry8PBQ3759lZ2dbbeNQ4cOqXfv3qpTp478/Pw0ZswYXbhwwa5m9erVat++vVxdXdW8eXMlJSWV62XWrFm67bbb5ObmpvDwcG3ZsuUPOWYAAFAzOTQ0NWrUSG+88YbS09O1bds23X///XrkkUe0Z88eSdLo0aP17bff6rPPPlNaWpqOHDmiRx991Pb6kpIS9e7dW8XFxdqwYYPmz5+vpKQkJSYm2moyMzPVu3dvdevWTRkZGRo1apSGDRumlStX2moWL16s+Ph4jR8/Xtu3b1fbtm0VHR2tnJycG3cyAABAtWYxDMNwdBMX8/Hx0dSpU9WvXz/5+vpq0aJF6tevnyRp7969atWqlTZu3Ki7775bK1as0EMPPaQjR47I399fkjRnzhwlJCQoNzdXLi4uSkhI0LJly7R7927bPp544gnl5eUpOTlZkhQeHq6OHTtq5syZkqTS0lIFBQVp5MiRevnll031XVBQIC8vL+Xn58tqtVblKQH+UPe+e6+jW6gW1o9cf12vT4vsUkWd1Hxd1qQ5ugXAtGv597vazGkqKSnRJ598osLCQkVERCg9PV3nz59XVFSUrSYkJESNGzfWxo0bJUkbN25U69atbYFJkqKjo1VQUGAbrdq4caPdNspqyrZRXFys9PR0uxonJydFRUXZaipSVFSkgoICuwcAALh5OTw07dq1Sx4eHnJ1ddXw4cP11VdfKTQ0VFlZWXJxcZG3t7ddvb+/v7KysiRJWVlZdoGpbH3ZuivVFBQU6OzZszp27JhKSkoqrCnbRkUmT54sLy8v2yMoKKhSxw8AAGoGh4emli1bKiMjQ5s3b9aIESMUExOjn376ydFtXdW4ceOUn59vexw+fNjRLQEAgD9QLUc34OLioubNm0uSwsLCtHXrVs2YMUP9+/dXcXGx8vLy7EabsrOzFRAQIEkKCAgo9ym3sk/XXVxz6SfusrOzZbVa5e7uLmdnZzk7O1dYU7aNiri6usrV1bVyBw0AAGoch480Xaq0tFRFRUUKCwtT7dq1lZqaalu3b98+HTp0SBEREZKkiIgI7dq1y+5TbikpKbJarQoNDbXVXLyNspqybbi4uCgsLMyuprS0VKmpqbYaAAAAh440jRs3Tr169VLjxo116tQpLVq0SKtXr9bKlSvl5eWloUOHKj4+Xj4+PrJarRo5cqQiIiJ09913S5J69Oih0NBQPfnkk5oyZYqysrL0yiuvKDY21jYKNHz4cM2cOVNjx47VU089pVWrVunTTz/VsmXLbH3Ex8crJiZGHTp0UKdOnTR9+nQVFhZqyJAhDjkvAACg+nFoaMrJydFf//pXHT16VF5eXmrTpo1WrlypBx54QJI0bdo0OTk5qW/fvioqKlJ0dLTee+892+udnZ21dOlSjRgxQhEREapbt65iYmI0ceJEW02TJk20bNkyjR49WjNmzFCjRo00d+5cRUdH22r69++v3NxcJSYmKisrS+3atVNycnK5yeEAAODWVe3u01RTcZ8m1FTcp+l33Kep6nCfJtQkNfI+TQAAANUZoQkAAMAEQhMAAIAJhCYAAAATCE0AAAAmEJoAAABMIDQBAACYQGgCAAAwgdAEAABgAqEJAADABEITAACACYQmAAAAEwhNAAAAJhCaAAAATCA0AQAAmEBoAgAAMIHQBAAAYAKhCQAAwARCEwAAgAmEJgAAABMITQAAACYQmgAAAEwgNAEAAJhAaAIAADCB0AQAAGACoQkAAMAEQhMAAIAJhCYAAAATCE0AAAAmEJoAAABMIDQBAACYQGgCAAAwgdAEAABgAqEJAADABEITAACACYQmAAAAEwhNAAAAJhCaAAAATCA0AQAAmEBoAgAAMIHQBAAAYAKhCQAAwARCEwAAgAkODU2TJ09Wx44d5enpKT8/P/Xp00f79u2zq+natassFovdY/jw4XY1hw4dUu/evVWnTh35+flpzJgxunDhgl3N6tWr1b59e7m6uqp58+ZKSkoq18+sWbN02223yc3NTeHh4dqyZUuVHzMAAKiZHBqa0tLSFBsbq02bNiklJUXnz59Xjx49VFhYaFf39NNP6+jRo7bHlClTbOtKSkrUu3dvFRcXa8OGDZo/f76SkpKUmJhoq8nMzFTv3r3VrVs3ZWRkaNSoURo2bJhWrlxpq1m8eLHi4+M1fvx4bd++XW3btlV0dLRycnL++BMBAACqPYthGIajmyiTm5srPz8/paWlKTIyUtLvI03t2rXT9OnTK3zNihUr9NBDD+nIkSPy9/eXJM2ZM0cJCQnKzc2Vi4uLEhIStGzZMu3evdv2uieeeEJ5eXlKTk6WJIWHh6tjx46aOXOmJKm0tFRBQUEaOXKkXn755av2XlBQIC8vL+Xn58tqtV7PaQBuqHvfvdfRLVQL60euv67Xp0V2qaJOar4ua9Ic3QJg2rX8+12t5jTl5+dLknx8fOyWL1y4UA0aNNCdd96pcePG6cyZM7Z1GzduVOvWrW2BSZKio6NVUFCgPXv22GqioqLsthkdHa2NGzdKkoqLi5Wenm5X4+TkpKioKFsNAAC4tdVydANlSktLNWrUKN1777268847bcsHDhyo4OBgBQYGaufOnUpISNC+ffv05ZdfSpKysrLsApMk2/OsrKwr1hQUFOjs2bM6efKkSkpKKqzZu3dvhf0WFRWpqKjI9rygoKCSRw4AAGqCahOaYmNjtXv3bq1bt85u+TPPPGP7c+vWrdWwYUN1795dBw8eVLNmzW50mzaTJ0/Wq6++6rD9AwCAG6taXJ6Li4vT0qVL9cMPP6hRo0ZXrA0PD5ckHThwQJIUEBCg7Oxsu5qy5wEBAVessVqtcnd3V4MGDeTs7FxhTdk2LjVu3Djl5+fbHocPHzZ5tAAAoCZyaGgyDENxcXH66quvtGrVKjVp0uSqr8nIyJAkNWzYUJIUERGhXbt22X3KLSUlRVarVaGhobaa1NRUu+2kpKQoIiJCkuTi4qKwsDC7mtLSUqWmptpqLuXq6iqr1Wr3AAAANy+HXp6LjY3VokWL9PXXX8vT09M2B8nLy0vu7u46ePCgFi1apAcffFD169fXzp07NXr0aEVGRqpNmzaSpB49eig0NFRPPvmkpkyZoqysLL3yyiuKjY2Vq6urJGn48OGaOXOmxo4dq6eeekqrVq3Sp59+qmXLltl6iY+PV0xMjDp06KBOnTpp+vTpKiws1JAhQ278iQGAW9jMF791dAvVQtzbDzu6BVzCoaFp9uzZkn6/rcDF5s2bp8GDB8vFxUXff/+9LcAEBQWpb9++euWVV2y1zs7OWrp0qUaMGKGIiAjVrVtXMTExmjhxoq2mSZMmWrZsmUaPHq0ZM2aoUaNGmjt3rqKjo201/fv3V25urhITE5WVlaV27dopOTm53ORwAABwa3JoaLraLaKCgoKUlnb1+30EBwdr+fLlV6zp2rWrduzYccWauLg4xcXFXXV/AADg1lMtJoIDAABUd4QmAAAAEwhNAAAAJhCaAAAATCA0AQAAmEBoAgAAMIHQBAAAYAKhCQAAwARCEwAAgAmEJgAAABMITQAAACYQmgAAAEwgNAEAAJhAaAIAADCB0AQAAGACoQkAAMAEQhMAAIAJhCYAAAATCE0AAAAmEJoAAABMIDQBAACYQGgCAAAwgdAEAABgAqEJAADAhFqObgCojEMTWzu6hWqhceIuR7cAALcMRpoAAABMIDQBAACYQGgCAAAwgdAEAABgAqEJAADABEITAACACYQmAAAAEwhNAAAAJhCaAAAATCA0AQAAmEBoAgAAMIHQBAAAYAKhCQAAwARCEwAAgAmEJgAAABMITQAAACYQmgAAAEwgNAEAAJhAaAIAADDBoaFp8uTJ6tixozw9PeXn56c+ffpo3759djXnzp1TbGys6tevLw8PD/Xt21fZ2dl2NYcOHVLv3r1Vp04d+fn5acyYMbpw4YJdzerVq9W+fXu5urqqefPmSkpKKtfPrFmzdNttt8nNzU3h4eHasmVLlR8zAAComRwamtLS0hQbG6tNmzYpJSVF58+fV48ePVRYWGirGT16tL799lt99tlnSktL05EjR/Too4/a1peUlKh3794qLi7Whg0bNH/+fCUlJSkxMdFWk5mZqd69e6tbt27KyMjQqFGjNGzYMK1cudJWs3jxYsXHx2v8+PHavn272rZtq+joaOXk5NyYkwEAAKo1i2EYhqObKJObmys/Pz+lpaUpMjJS+fn58vX11aJFi9SvXz9J0t69e9WqVStt3LhRd999t1asWKGHHnpIR44ckb+/vyRpzpw5SkhIUG5urlxcXJSQkKBly5Zp9+7dtn098cQTysvLU3JysiQpPDxcHTt21MyZMyVJpaWlCgoK0siRI/Xyyy9ftfeCggJ5eXkpPz9fVqu1qk8NLnFoYmtHt1AtNE7cdd3buPfde6ugk5pv/cj11/X6tMguVdRJzddlTdp1vX7mi99WUSc1W9zbDzu6hVvCtfz7Xa3mNOXn50uSfHx8JEnp6ek6f/68oqKibDUhISFq3LixNm7cKEnauHGjWrdubQtMkhQdHa2CggLt2bPHVnPxNspqyrZRXFys9PR0uxonJydFRUXZai5VVFSkgoICuwcAALh5VZvQVFpaqlGjRunee+/VnXfeKUnKysqSi4uLvL297Wr9/f2VlZVlq7k4MJWtL1t3pZqCggKdPXtWx44dU0lJSYU1Zdu41OTJk+Xl5WV7BAUFVe7AAQBAjVBtQlNsbKx2796tTz75xNGtmDJu3Djl5+fbHocPH3Z0SwAA4A9Uy9ENSFJcXJyWLl2qNWvWqFGjRrblAQEBKi4uVl5ent1oU3Z2tgICAmw1l37KrezTdRfXXPqJu+zsbFmtVrm7u8vZ2VnOzs4V1pRt41Kurq5ydXWt3AEDAIAax6EjTYZhKC4uTl999ZVWrVqlJk2a2K0PCwtT7dq1lZqaalu2b98+HTp0SBEREZKkiIgI7dq1y+5TbikpKbJarQoNDbXVXLyNspqybbi4uCgsLMyuprS0VKmpqbYaAABwa3PoSFNsbKwWLVqkr7/+Wp6enrb5Q15eXnJ3d5eXl5eGDh2q+Ph4+fj4yGq1auTIkYqIiNDdd98tSerRo4dCQ0P15JNPasqUKcrKytIrr7yi2NhY20jQ8OHDNXPmTI0dO1ZPPfWUVq1apU8//VTLli2z9RIfH6+YmBh16NBBnTp10vTp01VYWKghQ4bc+BMDAACqHYeGptmzZ0uSunbtard83rx5Gjx4sCRp2rRpcnJyUt++fVVUVKTo6Gi99957tlpnZ2ctXbpUI0aMUEREhOrWrauYmBhNnDjRVtOkSRMtW7ZMo0eP1owZM9SoUSPNnTtX0dHRtpr+/fsrNzdXiYmJysrKUrt27ZScnFxucjgAALg1OTQ0mblFlJubm2bNmqVZs2ZdtiY4OFjLly+/4na6du2qHTt2XLEmLi5OcXFxV+0JAADceqrNp+cAAACqM0ITAACACYQmAAAAEwhNAAAAJhCaAAAATCA0AQAAmEBoAgAAMIHQBAAAYAKhCQAAwARCEwAAgAmVCk3333+/8vLyyi0vKCjQ/ffff709AQAAVDuVCk2rV69WcXFxueXnzp3T2rVrr7spAACA6uaavrB3586dtj//9NNPysrKsj0vKSlRcnKy/vSnP1VddwAAANXENYWmdu3ayWKxyGKxVHgZzt3dXe+++26VNQcAAFBdXFNoyszMlGEYatq0qbZs2SJfX1/bOhcXF/n5+cnZ2bnKmwQAAHC0awpNwcHBkqTS0tI/pBkAAIDq6ppC08X279+vH374QTk5OeVCVGJi4nU3BgAAUJ1UKjT961//0ogRI9SgQQMFBATIYrHY1lksFkITAAC46VQqNL3++uuaNGmSEhISqrofAACAaqlS92k6efKkHnvssaruBQAAoNqqVGh67LHH9N1331V1LwAAANVWpS7PNW/eXP/4xz+0adMmtW7dWrVr17Zb//zzz1dJcwAAANVFpULTBx98IA8PD6WlpSktLc1uncViITQBAICbTqVCU2ZmZlX3AQAAUK1Vak4TAADAraZSI01PPfXUFdd/9NFHlWoGAACguqpUaDp58qTd8/Pnz2v37t3Ky8ur8It8AQAAarpKhaavvvqq3LLS0lKNGDFCzZo1u+6mAAAAqpsqm9Pk5OSk+Ph4TZs2rao2CQAAUG1U6UTwgwcP6sKFC1W5SQAAgGqhUpfn4uPj7Z4bhqGjR49q2bJliomJqZLGAAAAqpNKhaYdO3bYPXdycpKvr6/efvvtq36yDgAAoCaqVGj64YcfqroPAACAaq1SoalMbm6u9u3bJ0lq2bKlfH19q6QpAACA6qZSE8ELCwv11FNPqWHDhoqMjFRkZKQCAwM1dOhQnTlzpqp7BAAAcLhKhab4+HilpaXp22+/VV5envLy8vT1118rLS1NL774YlX3CAAA4HCVujz3xRdf6PPPP1fXrl1tyx588EG5u7vr8ccf1+zZs6uqPwAAgGqhUiNNZ86ckb+/f7nlfn5+XJ4DAAA3pUqFpoiICI0fP17nzp2zLTt79qxeffVVRUREVFlzAAAA1UWlLs9Nnz5dPXv2VKNGjdS2bVtJ0o8//ihXV1d99913VdogAABAdVCp0NS6dWvt379fCxcu1N69eyVJAwYM0KBBg+Tu7l6lDQIAAFQHlQpNkydPlr+/v55++mm75R999JFyc3OVkJBQJc0BAABUF5Wa0/T+++8rJCSk3PI77rhDc+bMue6mAAAAqptKhaasrCw1bNiw3HJfX18dPXr0upsCAACobioVmoKCgrR+/fpyy9evX6/AwEDT21mzZo0efvhhBQYGymKxaMmSJXbrBw8eLIvFYvfo2bOnXc2JEyc0aNAgWa1WeXt7a+jQoTp9+rRdzc6dO9W5c2e5ubkpKChIU6ZMKdfLZ599ppCQELm5ual169Zavny56eMAAAA3v0qFpqefflqjRo3SvHnz9Ouvv+rXX3/VRx99pNGjR5eb53QlhYWFatu2rWbNmnXZmp49e+ro0aO2x7///W+79YMGDdKePXuUkpKipUuXas2aNXrmmWds6wsKCtSjRw8FBwcrPT1dU6dO1YQJE/TBBx/YajZs2KABAwZo6NCh2rFjh/r06aM+ffpo9+7d13BWAADAzaxSE8HHjBmj48eP67nnnlNxcbEkyc3NTQkJCRo3bpzp7fTq1Uu9evW6Yo2rq6sCAgIqXPfzzz8rOTlZW7duVYcOHSRJ7777rh588EG99dZbCgwM1MKFC1VcXKyPPvpILi4uuuOOO5SRkaF33nnHFq5mzJihnj17asyYMZKk1157TSkpKZo5cyZztAAAgKRKjjRZLBa9+eabys3N1aZNm/Tjjz/qxIkTSkxMrOr+tHr1avn5+ally5YaMWKEjh8/blu3ceNGeXt72wKTJEVFRcnJyUmbN2+21URGRsrFxcVWEx0drX379unkyZO2mqioKLv9RkdHa+PGjZftq6ioSAUFBXYPAABw86pUaCrj4eGhjh076s4775Srq2tV9WTTs2dPffzxx0pNTdWbb76ptLQ09erVSyUlJZJ+n5Du5+dn95patWrJx8dHWVlZtppLv/Kl7PnVasrWV2Ty5Mny8vKyPYKCgq7vYAEAQLVWqctzN8oTTzxh+3Pr1q3Vpk0bNWvWTKtXr1b37t0d2Jk0btw4xcfH254XFBQQnAAAuIld10jTjda0aVM1aNBABw4ckCQFBAQoJyfHrubChQs6ceKEbR5UQECAsrOz7WrKnl+t5nJzqaTf51pZrVa7BwAAuHnVqND022+/6fjx47Z7REVERCgvL0/p6em2mlWrVqm0tFTh4eG2mjVr1uj8+fO2mpSUFLVs2VL16tWz1aSmptrtKyUlhS8fBgAANg4NTadPn1ZGRoYyMjIkSZmZmcrIyNChQ4d0+vRpjRkzRps2bdIvv/yi1NRUPfLII2revLmio6MlSa1atVLPnj319NNPa8uWLVq/fr3i4uL0xBNP2O4XNXDgQLm4uGjo0KHas2ePFi9erBkzZthdWnvhhReUnJyst99+W3v37tWECRO0bds2xcXF3fBzAgAAqieHhqZt27bprrvu0l133SVJio+P11133aXExEQ5Oztr586d+p//+R/dfvvtGjp0qMLCwrR27Vq7SecLFy5USEiIunfvrgcffFD33Xef3T2YvLy89N133ykzM1NhYWF68cUXlZiYaHcvp3vuuUeLFi3SBx98oLZt2+rzzz/XkiVLdOedd964kwEAAKo1h04E79q1qwzDuOz6lStXXnUbPj4+WrRo0RVr2rRpo7Vr116x5rHHHtNjjz121f0BAIBbU42a0wQAAOAo1fqWAwAAoPIm/aWfo1uoFv7+fz6vku0w0gQAAGACoQkAAMAEQhMAAIAJhCYAAAATCE0AAAAmEJoAAABMIDQBAACYQGgCAAAwgdAEAABgAqEJAADABEITAACACYQmAAAAEwhNAAAAJhCaAAAATCA0AQAAmEBoAgAAMIHQBAAAYAKhCQAAwARCEwAAgAmEJgAAABMITQAAACYQmgAAAEwgNAEAAJhAaAIAADCB0AQAAGACoQkAAMAEQhMAAIAJhCYAAAATCE0AAAAmEJoAAABMIDQBAACYQGgCAAAwgdAEAABgAqEJAADABEITAACACYQmAAAAEwhNAAAAJhCaAAAATCA0AQAAmEBoAgAAMIHQBAAAYIJDQ9OaNWv08MMPKzAwUBaLRUuWLLFbbxiGEhMT1bBhQ7m7uysqKkr79++3qzlx4oQGDRokq9Uqb29vDR06VKdPn7ar2blzpzp37iw3NzcFBQVpypQp5Xr57LPPFBISIjc3N7Vu3VrLly+v8uMFAAA1l0NDU2Fhodq2batZs2ZVuH7KlCn65z//qTlz5mjz5s2qW7euoqOjde7cOVvNoEGDtGfPHqWkpGjp0qVas2aNnnnmGdv6goIC9ejRQ8HBwUpPT9fUqVM1YcIEffDBB7aaDRs2aMCAARo6dKh27NihPn36qE+fPtq9e/cfd/AAAKBGqeXInffq1Uu9evWqcJ1hGJo+fbpeeeUVPfLII5Kkjz/+WP7+/lqyZImeeOIJ/fzzz0pOTtbWrVvVoUMHSdK7776rBx98UG+99ZYCAwO1cOFCFRcX66OPPpKLi4vuuOMOZWRk6J133rGFqxkzZqhnz54aM2aMJOm1115TSkqKZs6cqTlz5tyAMwEAAKq7ajunKTMzU1lZWYqKirIt8/LyUnh4uDZu3ChJ2rhxo7y9vW2BSZKioqLk5OSkzZs322oiIyPl4uJiq4mOjta+fft08uRJW83F+ymrKdsPAACAQ0eariQrK0uS5O/vb7fc39/fti4rK0t+fn5262vVqiUfHx+7miZNmpTbRtm6evXqKSsr64r7qUhRUZGKiopszwsKCq7l8AAAQA1TbUeaqrvJkyfLy8vL9ggKCnJ0SwAA4A9UbUNTQECAJCk7O9tueXZ2tm1dQECAcnJy7NZfuHBBJ06csKupaBsX7+NyNWXrKzJu3Djl5+fbHocPH77WQwQAADVItQ1NTZo0UUBAgFJTU23LCgoKtHnzZkVEREiSIiIilJeXp/T0dFvNqlWrVFpaqvDwcFvNmjVrdP78eVtNSkqKWrZsqXr16tlqLt5PWU3Zfiri6uoqq9Vq9wAAADcvh4am06dPKyMjQxkZGZJ+n/ydkZGhQ4cOyWKxaNSoUXr99df1zTffaNeuXfrrX/+qwMBA9enTR5LUqlUr9ezZU08//bS2bNmi9evXKy4uTk888YQCAwMlSQMHDpSLi4uGDh2qPXv2aPHixZoxY4bi4+NtfbzwwgtKTk7W22+/rb1792rChAnatm2b4uLibvQpAQAA1ZRDJ4Jv27ZN3bp1sz0vCzIxMTFKSkrS2LFjVVhYqGeeeUZ5eXm67777lJycLDc3N9trFi5cqLi4OHXv3l1OTk7q27ev/vnPf9rWe3l56bvvvlNsbKzCwsLUoEEDJSYm2t3L6Z577tGiRYv0yiuv6G9/+5tatGihJUuW6M4777wBZwEAANQEDg1NXbt2lWEYl11vsVg0ceJETZw48bI1Pj4+WrRo0RX306ZNG61du/aKNY899pgee+yxKzcMAABuWdV2ThMAAEB1QmgCAAAwgdAEAABgAqEJAADABEITAACACYQmAAAAEwhNAAAAJhCaAAAATCA0AQAAmEBoAgAAMIHQBAAAYAKhCQAAwARCEwAAgAmEJgAAABMITQAAACYQmgAAAEwgNAEAAJhAaAIAADCB0AQAAGACoQkAAMAEQhMAAIAJhCYAAAATCE0AAAAmEJoAAABMIDQBAACYQGgCAAAwgdAEAABgAqEJAADABEITAACACYQmAAAAEwhNAAAAJhCaAAAATCA0AQAAmEBoAgAAMIHQBAAAYAKhCQAAwARCEwAAgAmEJgAAABMITQAAACYQmgAAAEwgNAEAAJhAaAIAADCB0AQAAGACoQkAAMCEah2aJkyYIIvFYvcICQmxrT937pxiY2NVv359eXh4qG/fvsrOzrbbxqFDh9S7d2/VqVNHfn5+GjNmjC5cuGBXs3r1arVv316urq5q3ry5kpKSbsThAQCAGqRahyZJuuOOO3T06FHbY926dbZ1o0eP1rfffqvPPvtMaWlpOnLkiB599FHb+pKSEvXu3VvFxcXasGGD5s+fr6SkJCUmJtpqMjMz1bt3b3Xr1k0ZGRkaNWqUhg0bppUrV97Q4wQAANVbLUc3cDW1atVSQEBAueX5+fn68MMPtWjRIt1///2SpHnz5qlVq1batGmT7r77bn333Xf66aef9P3338vf31/t2rXTa6+9poSEBE2YMEEuLi6aM2eOmjRporfffluS1KpVK61bt07Tpk1TdHT0DT1WAABQfVX7kab9+/crMDBQTZs21aBBg3To0CFJUnp6us6fP6+oqChbbUhIiBo3bqyNGzdKkjZu3KjWrVvL39/fVhMdHa2CggLt2bPHVnPxNspqyrZxOUVFRSooKLB7AACAm1e1Dk3h4eFKSkpScnKyZs+erczMTHXu3FmnTp1SVlaWXFxc5O3tbfcaf39/ZWVlSZKysrLsAlPZ+rJ1V6opKCjQ2bNnL9vb5MmT5eXlZXsEBQVd7+ECAIBqrFpfnuvVq5ftz23atFF4eLiCg4P16aefyt3d3YGdSePGjVN8fLzteUFBAcEJAICbWLUeabqUt7e3br/9dh04cEABAQEqLi5WXl6eXU12drZtDlRAQEC5T9OVPb9ajdVqvWIwc3V1ldVqtXsAAICbV40KTadPn9bBgwfVsGFDhYWFqXbt2kpNTbWt37dvnw4dOqSIiAhJUkREhHbt2qWcnBxbTUpKiqxWq0JDQ201F2+jrKZsGwAAAFI1D00vvfSS0tLS9Msvv2jDhg3685//LGdnZw0YMEBeXl4aOnSo4uPj9cMPPyg9PV1DhgxRRESE7r77bklSjx49FBoaqieffFI//vijVq5cqVdeeUWxsbFydXWVJA0fPlz/+7//q7Fjx2rv3r1677339Omnn2r06NGOPHQAAFDNVOs5Tb/99psGDBig48ePy9fXV/fdd582bdokX19fSdK0adPk5OSkvn37qqioSNHR0Xrvvfdsr3d2dtbSpUs1YsQIRUREqG7duoqJidHEiRNtNU2aNNGyZcs0evRozZgxQ40aNdLcuXO53QAAALBTrUPTJ598csX1bm5umjVrlmbNmnXZmuDgYC1fvvyK2+natat27NhRqR4BAMCtoVpfngMAAKguCE0AAAAmEJoAAABMIDQBAACYQGgCAAAwoVp/eu5mEzbmY0e3UG2kT/2ro1sAAOCaMNIEAABgAqEJAADABEITAACACYQmAAAAEwhNAAAAJhCaAAAATCA0AQAAmEBoAgAAMIHQBAAAYAKhCQAAwARCEwAAgAmEJgAAABMITQAAACYQmgAAAEwgNAEAAJhAaAIAADCB0AQAAGACoQkAAMAEQhMAAIAJhCYAAAATCE0AAAAmEJoAAABMIDQBAACYQGgCAAAwgdAEAABgAqEJAADABEITAACACYQmAAAAEwhNAAAAJhCaAAAATCA0AQAAmEBoAgAAMIHQBAAAYAKhCQAAwARCEwAAgAmEJgAAABMITQAAACYQmi4xa9Ys3XbbbXJzc1N4eLi2bNni6JYAAEA1QGi6yOLFixUfH6/x48dr+/btatu2raKjo5WTk+Po1gAAgIMRmi7yzjvv6Omnn9aQIUMUGhqqOXPmqE6dOvroo48c3RoAAHAwQtP/VVxcrPT0dEVFRdmWOTk5KSoqShs3bnRgZwAAoDqo5egGqotjx46ppKRE/v7+dsv9/f21d+/ecvVFRUUqKiqyPc/Pz5ckFRQUXHYfJUVnq6jbmu9K58mMU+dKqqiTmu16z6MkXTh7oQo6qfmu91wWXuA8lrnec3m26EwVdVKzVcX7+9z581XQSc13pXNZts4wjKtuh9BUSZMnT9arr75abnlQUJADuql5vN4d7ugWbg6TvRzdwU3DK4FzWWW8OJdVYewsR3dw83j906v/Tp46dUpeV/ndJTT9Xw0aNJCzs7Oys7PtlmdnZysgIKBc/bhx4xQfH297XlpaqhMnTqh+/fqyWCx/eL+VUVBQoKCgIB0+fFhWq9XR7dRonMuqw7msGpzHqsO5rDo14VwahqFTp04pMDDwqrWEpv/LxcVFYWFhSk1NVZ8+fST9HoRSU1MVFxdXrt7V1VWurq52y7y9vW9Ap9fParVW21/emoZzWXU4l1WD81h1OJdVp7qfy6uNMJUhNF0kPj5eMTEx6tChgzp16qTp06ersLBQQ4YMcXRrAADAwQhNF+nfv79yc3OVmJiorKwstWvXTsnJyeUmhwMAgFsPoekScXFxFV6Ouxm4urpq/Pjx5S4r4tpxLqsO57JqcB6rDuey6txs59JimPmMHQAAwC2Om1sCAACYQGgCAAAwgdAEAABgAqEJAADABELTLWTWrFm67bbb5ObmpvDwcG3ZssXRLdU4a9as0cMPP6zAwEBZLBYtWbLE0S3VSJMnT1bHjh3l6ekpPz8/9enTR/v27XN0WzXS7Nmz1aZNG9vNAyMiIrRixQpHt1XjvfHGG7JYLBo1apSjW6mRJkyYIIvFYvcICQlxdFvXjdB0i1i8eLHi4+M1fvx4bd++XW3btlV0dLRycnIc3VqNUlhYqLZt22rWLL4U6nqkpaUpNjZWmzZtUkpKis6fP68ePXqosLDQ0a3VOI0aNdIbb7yh9PR0bdu2Tffff78eeeQR7dmzx9Gt1Vhbt27V+++/rzZt2ji6lRrtjjvu0NGjR22PdevWObql68YtB24R4eHh6tixo2bOnCnp96+ICQoK0siRI/Xyyy87uLuayWKx6KuvvrJ97Q4qLzc3V35+fkpLS1NkZKSj26nxfHx8NHXqVA0dOtTRrdQ4p0+fVvv27fXee+/p9ddfV7t27TR9+nRHt1XjTJgwQUuWLFFGRoajW6lSjDTdAoqLi5Wenq6oqCjbMicnJ0VFRWnjxo0O7Az4XX5+vqTf/7FH5ZWUlOiTTz5RYWGhIiIiHN1OjRQbG6vevXvb/X2Jytm/f78CAwPVtGlTDRo0SIcOHXJ0S9eNO4LfAo4dO6aSkpJyXwfj7++vvXv3Oqgr4HelpaUaNWqU7r33Xt15552ObqdG2rVrlyIiInTu3Dl5eHjoq6++UmhoqKPbqnE++eQTbd++XVu3bnV0KzVeeHi4kpKS1LJlSx09elSvvvqqOnfurN27d8vT09PR7VUaoQmAQ8XGxmr37t03xXwHR2nZsqUyMjKUn5+vzz//XDExMUpLSyM4XYPDhw/rhRdeUEpKitzc3BzdTo3Xq1cv25/btGmj8PBwBQcH69NPP63Rl40JTbeABg0ayNnZWdnZ2XbLs7OzFRAQ4KCugN+/63Hp0qVas2aNGjVq5Oh2aiwXFxc1b95ckhQWFqatW7dqxowZev/99x3cWc2Rnp6unJwctW/f3raspKREa9as0cyZM1VUVCRnZ2cHdlizeXt76/bbb9eBAwcc3cp1YU7TLcDFxUVhYWFKTU21LSstLVVqairzHuAQhmEoLi5OX331lVatWqUmTZo4uqWbSmlpqYqKihzdRo3SvXt37dq1SxkZGbZHhw4dNGjQIGVkZBCYrtPp06d18OBBNWzY0NGtXBdGmm4R8fHxiomJUYcOHdSpUydNnz5dhYWFGjJkiKNbq1FOnz5t9z+lzMxMZWRkyMfHR40bN3ZgZzVLbGysFi1apK+//lqenp7KysqSJHl5ecnd3d3B3dUs48aNU69evdS4cWOdOnVKixYt0urVq7Vy5UpHt1ajeHp6lptTV7duXdWvX5+5dpXw0ksv6eGHH1ZwcLCOHDmi8ePHy9nZWQMGDHB0a9eF0HSL6N+/v3Jzc5WYmKisrCy1a9dOycnJ5SaH48q2bdumbt262Z7Hx8dLkmJiYpSUlOSgrmqe2bNnS5K6du1qt3zevHkaPHjwjW+oBsvJydFf//pXHT16VF5eXmrTpo1WrlypBx54wNGt4Rb222+/acCAATp+/Lh8fX113333adOmTfL19XV0a9eF+zQBAACYwJwmAAAAEwhNAAAAJhCaAAAATCA0AQAAmEBoAgAAMIHQBAAAYAKhCQAAwARCE4A/TFZWlh544AHVrVtX3t7ekiSLxaIlS5ZIkn755RdZLBZlZGSY3mZSUpJtWzdSRfv94IMPFBQUJCcnJ02fPl0TJkxQu3btbnhvVzN48GD16dPH0W0ANR53BAdgyuDBg5WXl2cLPGZMmzZNR48eVUZGhry8vMqtDwoK0tGjR9WgQYMq7LRyvV5N//799eCDD9qeFxQUKC4uTu+884769u0rLy8vlZaWauTIkVW2z6oyY8YMcR9j4PoRmgD8YQ4ePKiwsDC1aNGiwvXOzs4KCAi4wV1Vjru7u9334h06dEjnz59X79697b6E1MPD44b1VFxcLBcXl6vWVRRYAVw7Ls8BqJSuXbvq+eef19ixY+Xj46OAgABNmDDBtv62227TF198oY8//lgWi6XC75Sr6PLcN998oxYtWsjNzU3dunXT/PnzZbFYlJeXZ/falStXqlWrVvLw8FDPnj119OhRSdKECRM0f/58ff3117JYLLJYLFq9enW5fS9dulTe3t4qKSmRJGVkZMhisejll1+21QwbNkx/+ctfJNlfnktKSlLr1q0lSU2bNpXFYtEvv/xy1ctzJ0+e1KBBg+Tr6yt3d3e1aNFC8+bNs60/fPiwHn/8cXl7e8vHx0ePPPKIfvnlF9v6sstskyZNUmBgoFq2bKm//e1vCg8PL7evtm3bauLEiXavK1NaWqopU6aoefPmcnV1VePGjTVp0iTTfQC3KkITgEqbP3++6tatq82bN2vKlCmaOHGiUlJSJElbt25Vz5499fjjj+vo0aOaMWPGVbeXmZmpfv36qU+fPvrxxx/17LPP6u9//3u5ujNnzuitt97SggULtGbNGh06dEgvvfSSpN+/Xf3xxx+3BamjR4/qnnvuKbeNzp0769SpU9qxY4ckKS0tTQ0aNLALWGlpaeW+VFj6/VLd999/L0nasmWLjh49qqCgoKse3z/+8Q/99NNPWrFihX7++WfNnj3bdmny/Pnzio6Olqenp9auXav169fbAmFxcbFtG6mpqdq3b59SUlK0dOlSDRo0SFu2bNHBgwdtNXv27NHOnTs1cODACvsYN26c3njjDVs/ixYtsn15t9k+gFsRl+cAVFqbNm00fvx4SVKLFi00c+ZMpaam6oEHHpCvr69cXV3l7u5u+hLc+++/r5YtW2rq1KmSpJYtW2r37t12oyDS7/+wz5kzR82aNZMkxcXF2UZVPDw85O7urqKioivu18vLS+3atdPq1avVoUMHrV69WqNHj9arr76q06dPKz8/XwcOHFCXLl3Kvdbd3V3169eXJPn6+po+vkOHDumuu+5Shw4dJP0+Gldm8eLFKi0t1dy5c2WxWCRJ8+bNk7e3t1avXq0ePXpIkurWrau5c+faXZZr27atFi1apH/84x+SpIULFyo8PFzNmzcv18OpU6c0Y8YMzZw5UzExMZKkZs2a6b777rumPoBbESNNACqtTZs2ds8bNmyonJycSm9v37596tixo92yTp06laurU6eOLTBdz367dOmi1atXyzAMrV27Vo8++qhatWqldevWKS0tTYGBgZedj1UZI0aM0CeffKJ27dpp7Nix2rBhg23djz/+qAMHDsjT01MeHh7y8PCQj4+Pzp07ZzeK1Lp163LzmAYNGqRFixZJkgzD0L///W8NGjSowh5+/vlnFRUVqXv37hWuN9sHcCtipAlApdWuXdvuucViUWlpqUP2W5lPh3Xt2lUfffSRfvzxR9WuXVshISHq2rWrVq9erZMnT1Y4ynQ9evXqpV9//VXLly9XSkqKunfvrtjYWL311ls6ffq0wsLCtHDhwnKv8/X1tf25bt265dYPGDBACQkJ2r59u86ePavDhw+rf//+FfZw8WT2ipjtA7gVEZoAVBstW7bU8uXL7ZZt3br1mrfj4uJim+B9JWXzmqZNm2YLSF27dtUbb7yhkydP6sUXX7zmfV+Nr6+vYmJiFBMTo86dO2vMmDF666231L59ey1evFh+fn6yWq3XtM1GjRqpS5cuWrhwoc6ePasHHnhAfn5+Fda2aNFC7u7uSk1N1bBhw8qtv54+gJsdl+cAVBvPPvus9u7dq4SEBP3nP//Rp59+qqSkJEmyza8x47bbbtPOnTu1b98+HTt2TOfPn6+wrl69emrTpo0WLlxom/AdGRmp7du36z//+U+VjzQlJibq66+/1oEDB7Rnzx4tXbpUrVq1kvT7JbYGDRrokUce0dq1a5WZmanVq1fr+eef12+//XbVbQ8aNEiffPKJPvvss8tempMkNzc3JSQkaOzYsfr444918OBBbdq0SR9++GGV9AHczAhNAKqNJk2a6PPPP9eXX36pNm3aaPbs2bZPz7m6upreztNPP62WLVuqQ4cO8vX11fr16y9b26VLF5WUlNhCk4+Pj0JDQxUQEKCWLVte1/FcysXFRePGjVObNm0UGRkpZ2dnffLJJ5J+n6e1Zs0aNW7c2Da3aujQoTp37pypEZ9+/frp+PHjOnPmzFXv/v2Pf/xDL774ohITE9WqVSv179/fNifsevsAbmYWg9vEAqjGJk2apDlz5ujw4cOObgXALY45TQCqlffee08dO3ZU/fr1tX79ek2dOlVxcXGObgsACE0Aqpf9+/fr9ddf14kTJ9S4cWO9+OKLGjdunKPbAgAuzwEAAJjBRHAAAAATCE0AAAAmEJoAAABMIDQBAACYQGgCAAAwgdAEAABgAqEJAADABEITAACACYQmAAAAE/5/ZcnlNXfbyg8AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Inflight wifi service satisfaction rating count \n",
    "sns.countplot(x = \"Inflight wifi service\", data = df)\n",
    "plt.title(\"Inflight wifi service Satisfaction Count\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Type of Travel Count\n",
    "sns.countplot(x = \"Type of Travel\", data = df)\n",
    "plt.title(\"Type of Travel Count\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Modeling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import machine learning tools \n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "from sklearn.model_selection import cross_val_score, train_test_split\n",
    "from sklearn.metrics import f1_score, accuracy_score, recall_score, precision_score, confusion_matrix, classification_report"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "satisfaction_v2                       object\n",
       "Gender                                object\n",
       "Customer Type                         object\n",
       "Age                                    int64\n",
       "Type of Travel                        object\n",
       "Class                                 object\n",
       "Flight Distance                        int64\n",
       "Inflight wifi service                  int64\n",
       "Departure/Arrival time convenient      int64\n",
       "Ease of Online booking                 int64\n",
       "Gate location                          int64\n",
       "Food and drink                         int64\n",
       "Online boarding                        int64\n",
       "Seat comfort                           int64\n",
       "Inflight entertainment                 int64\n",
       "On-board service                       int64\n",
       "Leg room service                       int64\n",
       "Baggage handling                       int64\n",
       "Checkin service                        int64\n",
       "Inflight service                       int64\n",
       "Cleanliness                            int64\n",
       "Departure Delay in Minutes             int64\n",
       "Arrival Delay in Minutes             float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 204,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# column data types\n",
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "metadata": {},
   "outputs": [],
   "source": [
    "# label encode our categorical columns \n",
    "\n",
    "le = LabelEncoder()\n",
    "\n",
    "cat = ['satisfaction_v2','Gender','Customer Type','Class','Type of Travel']\n",
    "for name in cat:\n",
    "  df[name] = le.fit_transform(df[name])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Now we split our predictors and target variable\n",
    "\n",
    "# our predictors \n",
    "X = df.drop(['satisfaction_v2'], axis = 1)\n",
    "\n",
    "# our target variable\n",
    "y = df['satisfaction_v2']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "metadata": {},
   "outputs": [],
   "source": [
    "# now we split our data sets into training and testing with a 80/20 split \n",
    "X_train, X_test, y_train, y_test = train_test_split(X,y, test_size = 0.2, random_state=0, stratify = y) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((103589, 22), (25898, 22))"
      ]
     },
     "execution_count": 208,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check our x_train and X_test shapes\n",
    "X_train.shape, X_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-8 {color: black;background-color: white;}#sk-container-id-8 pre{padding: 0;}#sk-container-id-8 div.sk-toggleable {background-color: white;}#sk-container-id-8 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-8 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-8 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-8 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-8 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-8 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-8 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-8 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-8 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-8 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-8 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-8 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-8 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-8 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-8 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-8 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-8 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-8 div.sk-item {position: relative;z-index: 1;}#sk-container-id-8 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-8 div.sk-item::before, #sk-container-id-8 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-8 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-8 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-8 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-8 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-8 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-8 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-8 div.sk-label-container {text-align: center;}#sk-container-id-8 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-8 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-8\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestClassifier(random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-8\" type=\"checkbox\" checked><label for=\"sk-estimator-id-8\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier(random_state=42)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "RandomForestClassifier(random_state=42)"
      ]
     },
     "execution_count": 209,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# instantiate our random forest model\n",
    "rfc = RandomForestClassifier(random_state = 42)\n",
    "\n",
    "# fit our model on our training sets\n",
    "rfc.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Random Forest accuracy on the Testing Set is: 0.9624295312379334\n"
     ]
    }
   ],
   "source": [
    "# accuracy of our model on the testing set\n",
    "accuracy = rfc.score(X_test,y_test)\n",
    "print(f\"Random Forest accuracy on the Testing Set is: {accuracy}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "y_pred = rfc.predict(X_test)\n",
    "forest_matrix = confusion_matrix(y_test, y_pred)\n",
    "sns.heatmap(forest_matrix, annot=True, fmt=\"d\")\n",
    "plt.title('Random Forest Confusion Matrix')\n",
    "plt.xlabel('Actual')\n",
    "plt.ylabel('Predicted')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Random Forest metrics\n",
      "Precision Score: 0.9747829299833733\n",
      "F1 Score: 0.9559309751347433\n",
      "Recall score: 0.9377943659468586\n"
     ]
    }
   ],
   "source": [
    "# other metrics\n",
    "f1_score = f1_score(y_test,y_pred)\n",
    "recall = recall_score(y_test, y_pred)\n",
    "precision = precision_score(y_test,y_pred)\n",
    "\n",
    "print(\"Random Forest metrics\")\n",
    "print(f\"Precision Score: {precision}\")\n",
    "print(f\"F1 Score: {f1_score}\")\n",
    "print(f\"Recall score: {recall}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "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>columns</th>\n",
       "      <th>importance</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Online boarding</td>\n",
       "      <td>0.170920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Inflight wifi service</td>\n",
       "      <td>0.138623</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Class</td>\n",
       "      <td>0.108766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Type of Travel</td>\n",
       "      <td>0.090148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Inflight entertainment</td>\n",
       "      <td>0.060641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Seat comfort</td>\n",
       "      <td>0.043757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Leg room service</td>\n",
       "      <td>0.040036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Ease of Online booking</td>\n",
       "      <td>0.039080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Customer Type</td>\n",
       "      <td>0.036592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Flight Distance</td>\n",
       "      <td>0.033870</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Age</td>\n",
       "      <td>0.033576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>On-board service</td>\n",
       "      <td>0.030060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Inflight service</td>\n",
       "      <td>0.025968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Checkin service</td>\n",
       "      <td>0.025081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Baggage handling</td>\n",
       "      <td>0.024841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Cleanliness</td>\n",
       "      <td>0.024348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Gate location</td>\n",
       "      <td>0.017233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Departure/Arrival time convenient</td>\n",
       "      <td>0.016537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Arrival Delay in Minutes</td>\n",
       "      <td>0.012359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Food and drink</td>\n",
       "      <td>0.011520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Departure Delay in Minutes</td>\n",
       "      <td>0.011201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Gender</td>\n",
       "      <td>0.004843</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              columns  importance\n",
       "11                    Online boarding    0.170920\n",
       "6               Inflight wifi service    0.138623\n",
       "4                               Class    0.108766\n",
       "3                      Type of Travel    0.090148\n",
       "13             Inflight entertainment    0.060641\n",
       "12                       Seat comfort    0.043757\n",
       "15                   Leg room service    0.040036\n",
       "8              Ease of Online booking    0.039080\n",
       "1                       Customer Type    0.036592\n",
       "5                     Flight Distance    0.033870\n",
       "2                                 Age    0.033576\n",
       "14                   On-board service    0.030060\n",
       "18                   Inflight service    0.025968\n",
       "17                    Checkin service    0.025081\n",
       "16                   Baggage handling    0.024841\n",
       "19                        Cleanliness    0.024348\n",
       "9                       Gate location    0.017233\n",
       "7   Departure/Arrival time convenient    0.016537\n",
       "21           Arrival Delay in Minutes    0.012359\n",
       "10                     Food and drink    0.011520\n",
       "20         Departure Delay in Minutes    0.011201\n",
       "0                              Gender    0.004843"
      ]
     },
     "execution_count": 213,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create a feature importance data frame\n",
    "dict1 = {'columns': rfc.feature_names_in_, 'importance': rfc.feature_importances_}\n",
    "forest_importances = pd.DataFrame(dict1).sort_values('importance', ascending = False)\n",
    "forest_importances"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotting a horizontal bar chart on feature importance \n",
    "sns.barplot(data = forest_importances, y = 'columns', x = 'importance')\n",
    "plt.title(\"Random Forest Feature Importance\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will build a web app for our model so our users can toggle certain features to see how it affects a passengeer satisfaction level. As we can see we have too many attributes and so we can avoid making a complicated web app we will only choose the top 9, Which are Online Boarding, Inflight Wifi Service, Type of Travel, Class, Inflight Entertainment, Seat comfort, Ease of Online Booking, Leg Room Service, and Customer Type. We will see how only choosing these features impacts the accuracy of our model although them being the most influential to satisfaction levels. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "metadata": {},
   "outputs": [],
   "source": [
    "# creating data frame with the top 8 predictors\n",
    "columns = ['Online boarding', 'Inflight wifi service', 'Type of Travel', 'Class', 'Inflight entertainment',\n",
    "            'Seat comfort', 'Ease of Online booking', 'Leg room service', 'Customer Type', 'satisfaction_v2']\n",
    "\n",
    "df_new = airline[columns]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Online boarding            int64\n",
       "Inflight wifi service      int64\n",
       "Type of Travel            object\n",
       "Class                     object\n",
       "Inflight entertainment     int64\n",
       "Seat comfort               int64\n",
       "Ease of Online booking     int64\n",
       "Leg room service           int64\n",
       "Customer Type             object\n",
       "satisfaction_v2           object\n",
       "dtype: object"
      ]
     },
     "execution_count": 216,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# column data types\n",
    "df_new.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "satisfaction order is: ['satisfied' 'neutral or dissatisfied']\n",
      "Type  of Travel order is: ['Personal Travel' 'Business Travel']\n",
      "Class order is: ['Eco' 'Business' 'Eco Plus']\n",
      "Customer Type order is: ['Disloyal Customer' 'Loyal Customer']\n"
     ]
    }
   ],
   "source": [
    "# print the unique values for our categorical values\n",
    "print(f\"satisfaction order is: {df_new['satisfaction_v2'].unique()}\")\n",
    "print(f\"Type  of Travel order is: {df_new['Type of Travel'].unique()}\")\n",
    "print(f\"Class order is: {df_new['Class'].unique()}\")\n",
    "print(f\"Customer Type order is: {df_new['Customer Type'].unique()}\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The above cell is important after we label encode our categorical variables we know what order the labeling was. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "metadata": {},
   "outputs": [],
   "source": [
    "# label encode our categorical variables again\n",
    "cat = ['satisfaction_v2','Type of Travel', 'Class', 'Customer Type']\n",
    "\n",
    "for ct in cat:\n",
    "  df_new = df_new.copy()\n",
    "  df_new[ct] = le.fit_transform(df_new[ct])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "satisfaction order is: [1 0]\n",
      "Type  of Travel order is: [1 0]\n",
      "Class order is: [1 0 2]\n",
      "Customer Type order is: [0 1]\n"
     ]
    }
   ],
   "source": [
    "# print the labeling for our categorical variables\n",
    "print(f\"satisfaction order is: {df_new['satisfaction_v2'].unique()}\")\n",
    "print(f\"Type  of Travel order is: {df_new['Type of Travel'].unique()}\")\n",
    "print(f\"Class order is: {df_new['Class'].unique()}\")\n",
    "print(f\"Customer Type order is: {df_new['Customer Type'].unique()}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Online boarding           int64\n",
       "Inflight wifi service     int64\n",
       "Type of Travel            int32\n",
       "Class                     int32\n",
       "Inflight entertainment    int64\n",
       "Seat comfort              int64\n",
       "Ease of Online booking    int64\n",
       "Leg room service          int64\n",
       "Customer Type             int32\n",
       "satisfaction_v2           int32\n",
       "dtype: object"
      ]
     },
     "execution_count": 220,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_new.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "metadata": {},
   "outputs": [],
   "source": [
    "# predictors \n",
    "X = df_new.drop(['satisfaction_v2'], axis = 1)\n",
    "\n",
    "# target\n",
    "y = df_new['satisfaction_v2']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "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>Online boarding</th>\n",
       "      <th>Inflight wifi service</th>\n",
       "      <th>Type of Travel</th>\n",
       "      <th>Class</th>\n",
       "      <th>Inflight entertainment</th>\n",
       "      <th>Seat comfort</th>\n",
       "      <th>Ease of Online booking</th>\n",
       "      <th>Leg room service</th>\n",
       "      <th>Customer Type</th>\n",
       "      <th>satisfaction_v2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Online boarding  Inflight wifi service  Type of Travel  Class  \\\n",
       "0                0                      0               1      1   \n",
       "1                1                      0               1      1   \n",
       "2                0                      0               1      1   \n",
       "3                0                      0               1      1   \n",
       "4                5                      0               1      1   \n",
       "\n",
       "   Inflight entertainment  Seat comfort  Ease of Online booking  \\\n",
       "0                       3             3                       0   \n",
       "1                       2             3                       1   \n",
       "2                       3             3                       0   \n",
       "3                       4             4                       0   \n",
       "4                       3             3                       0   \n",
       "\n",
       "   Leg room service  Customer Type  satisfaction_v2  \n",
       "0                 5              0                1  \n",
       "1                 1              0                1  \n",
       "2                 5              0                1  \n",
       "3                 4              0                1  \n",
       "4                 4              0                1  "
      ]
     },
     "execution_count": 222,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# first 5 observations\n",
    "df_new.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## New Random Forest Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "metadata": {},
   "outputs": [],
   "source": [
    "# train test split for our training and testing set\n",
    "X_train, X_test, y_train, y_test = train_test_split(X,y, test_size = 0.2, random_state=0, stratify = y) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-9 {color: black;background-color: white;}#sk-container-id-9 pre{padding: 0;}#sk-container-id-9 div.sk-toggleable {background-color: white;}#sk-container-id-9 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-9 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-9 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-9 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-9 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-9 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-9 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-9 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-9 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-9 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-9 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-9 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-9 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-9 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-9 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-9 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-9 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-9 div.sk-item {position: relative;z-index: 1;}#sk-container-id-9 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-9 div.sk-item::before, #sk-container-id-9 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-9 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-9 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-9 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-9 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-9 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-9 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-9 div.sk-label-container {text-align: center;}#sk-container-id-9 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-9 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-9\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestClassifier(random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-9\" type=\"checkbox\" checked><label for=\"sk-estimator-id-9\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier(random_state=42)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "RandomForestClassifier(random_state=42)"
      ]
     },
     "execution_count": 224,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# instantiate our model\n",
    "forest = RandomForestClassifier(random_state = 42)\n",
    "\n",
    "# fit our model\n",
    "forest.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Random Forest accuracy on the Testing Set is: 0.9446412072682476\n"
     ]
    }
   ],
   "source": [
    "# model accuracy with top 9 predictors \n",
    "accuracy = forest.score(X_test,y_test)\n",
    "print(f\"Random Forest accuracy on the Testing Set is: {accuracy}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The accuracy of our Random Forest model when only using the top 9 important features returned an accuracy of 94% on unseen data (testing set). Implying our model is a fairly accurate model despite dropping a certain amount of features. We can probably get away and drop more features but I will leave it using the top 8 features. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Save our Model as a Pickle file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import pickle library\n",
    "import pickle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "metadata": {},
   "outputs": [],
   "source": [
    "# our file name to save our model with \n",
    "# file_name = 'forest_model.sav'\n",
    "\n",
    "# # save our model \n",
    "# pickle.dump(forest,open(file_name,\"wb\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 228,
   "metadata": {},
   "outputs": [],
   "source": [
    "# file_name = \"label_encoder.sav\"\n",
    "\n",
    "# pickle.dump(le,open(file_name,\"wb\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        Online boarding  Inflight wifi service  Type of Travel  Class  \\\n",
      "113052                5                      5               0      0   \n",
      "\n",
      "        Inflight entertainment  Seat comfort  Ease of Online booking  \\\n",
      "113052                       4             5                       2   \n",
      "\n",
      "        Leg room service  Customer Type  \n",
      "113052                 5              1  \n"
     ]
    }
   ],
   "source": [
    "example = X_test.sample(1)\n",
    "print(example)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1])"
      ]
     },
     "execution_count": 230,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "forest.predict(example)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "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>113052</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Customer Type</th>\n",
       "      <td>Loyal Customer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Type of Travel</th>\n",
       "      <td>Business Travel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Class</th>\n",
       "      <td>Business</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Online boarding</th>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Inflight wifi service</th>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Inflight entertainment</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Seat comfort</th>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ease of Online booking</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Leg room service</th>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>satisfaction_v2</th>\n",
       "      <td>satisfied</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 113052\n",
       "Customer Type            Loyal Customer\n",
       "Type of Travel          Business Travel\n",
       "Class                          Business\n",
       "Online boarding                       5\n",
       "Inflight wifi service                 5\n",
       "Inflight entertainment                4\n",
       "Seat comfort                          5\n",
       "Ease of Online booking                2\n",
       "Leg room service                      5\n",
       "satisfaction_v2               satisfied"
      ]
     },
     "execution_count": 231,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "airline.iloc[example.index][['Customer Type','Type of Travel','Class','Online boarding', \n",
    "                            'Inflight wifi service', 'Inflight entertainment',\n",
    "            'Seat comfort', 'Ease of Online booking', 'Leg room service', 'satisfaction_v2']].T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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