Carbon Capture - NBEATS-Rev02.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Carbon Capture - NBEATS\n",
    "\n",
    "- Exploratory Data Analysis\n",
    "    - Data Overview\n",
    "    - Feature Engineering\n",
    "    - Pre-Processing\n",
    "- Data Modeling\n",
    "    - Create NBEATS instance (a generic model for all time-series)\n",
    "    - Fit the model with all time-series in df\n",
    "    - Save / load model for future use\n",
    "    - Forecast on some locations and plot results\n",
    "    - Create Predictions dataframe\n",
    "    - Feature Engineering predictions dataframe\n",
    "- Forecasting with TEST dataset\n",
    "    - Import Test Dataset\n",
    "    - Feature Engineering on test dataset\n",
    "    - Match encoded location from df on test dataset\n",
    "    - Join predictions based on location and date\n",
    "    - Export Resuts"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### EDA: Data overview"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import os\n",
    "# Load specific forecasting tools\n",
    "from darts import TimeSeries\n",
    "from darts.models import NBEATSModel\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "from darts.dataprocessing.transformers import Scaler\n",
    "import time\n",
    "from pylab import rcParams\n",
    "import datetime\n",
    "\n",
    "# Ignore harmless warnings\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "# Size of all plots\n",
    "rcParams['figure.figsize'] = 12,6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_raw = pd.read_csv('train.csv',index_col=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>co2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>384</th>\n",
       "      <td>0</td>\n",
       "      <td>2000</td>\n",
       "      <td>35.1</td>\n",
       "      <td>-114.5</td>\n",
       "      <td>24.550266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>421</th>\n",
       "      <td>0</td>\n",
       "      <td>2000</td>\n",
       "      <td>33.3</td>\n",
       "      <td>-112.8</td>\n",
       "      <td>4.388263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>426</th>\n",
       "      <td>0</td>\n",
       "      <td>2000</td>\n",
       "      <td>39.5</td>\n",
       "      <td>-112.5</td>\n",
       "      <td>13.314685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>466</th>\n",
       "      <td>0</td>\n",
       "      <td>2000</td>\n",
       "      <td>36.9</td>\n",
       "      <td>-111.3</td>\n",
       "      <td>16.433954</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>470</th>\n",
       "      <td>0</td>\n",
       "      <td>2000</td>\n",
       "      <td>39.1</td>\n",
       "      <td>-111.1</td>\n",
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       "  </tbody>\n",
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      "text/plain": [
       "     month  year  latitude  longitude        co2\n",
       "384      0  2000      35.1     -114.5  24.550266\n",
       "421      0  2000      33.3     -112.8   4.388263\n",
       "426      0  2000      39.5     -112.5  13.314685\n",
       "466      0  2000      36.9     -111.3  16.433954\n",
       "470      0  2000      39.1     -111.1  10.039619"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_raw.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 36276 entries, 384 to 3957963\n",
      "Data columns (total 5 columns):\n",
      " #   Column     Non-Null Count  Dtype  \n",
      "---  ------     --------------  -----  \n",
      " 0   month      36276 non-null  int64  \n",
      " 1   year       36276 non-null  int64  \n",
      " 2   latitude   36276 non-null  float64\n",
      " 3   longitude  36276 non-null  float64\n",
      " 4   co2        36276 non-null  float64\n",
      "dtypes: float64(3), int64(2)\n",
      "memory usage: 1.7 MB\n"
     ]
    }
   ],
   "source": [
    "df_raw.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010,\n",
       "       2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019], dtype=int64)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_raw.year.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11], dtype=int64)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_raw.month.unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### EDA: Feature Engineering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df_raw.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Adding day column for date\n",
    "df['day'] = 1\n",
    "\n",
    "# Adding 1 to month to make sure it is ranging from 1-12\n",
    "df['month'] = df['month']+ 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create column in datetime data type\n",
    "df['date'] = pd.to_datetime(df[['year','month','day']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a column with tuple containing latitude and longitude together\n",
    "df['lat_long'] = list(zip(df['latitude'], df['longitude']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "153"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['lat_long'].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# drop unnecesary / redundant data \n",
    "df.drop(labels=['month','year','day','longitude','latitude'],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>co2</th>\n",
       "      <th>date</th>\n",
       "      <th>lat_long</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>384</th>\n",
       "      <td>24.550266</td>\n",
       "      <td>2000-01-01</td>\n",
       "      <td>(35.1, -114.5)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>421</th>\n",
       "      <td>4.388263</td>\n",
       "      <td>2000-01-01</td>\n",
       "      <td>(33.3, -112.8)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>426</th>\n",
       "      <td>13.314685</td>\n",
       "      <td>2000-01-01</td>\n",
       "      <td>(39.5, -112.5)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>466</th>\n",
       "      <td>16.433954</td>\n",
       "      <td>2000-01-01</td>\n",
       "      <td>(36.9, -111.3)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>470</th>\n",
       "      <td>10.039619</td>\n",
       "      <td>2000-01-01</td>\n",
       "      <td>(39.1, -111.1)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "           co2       date        lat_long\n",
       "384  24.550266 2000-01-01  (35.1, -114.5)\n",
       "421   4.388263 2000-01-01  (33.3, -112.8)\n",
       "426  13.314685 2000-01-01  (39.5, -112.5)\n",
       "466  16.433954 2000-01-01  (36.9, -111.3)\n",
       "470  10.039619 2000-01-01  (39.1, -111.1)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# pivot dataset to have better appreciation of all time-series per location\n",
    "df_pivot = df.pivot(index='date', columns = 'lat_long', values='co2')\n",
    "df_pivot = df_pivot.sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set Date frquency to Monthly Data\n",
    "freq_time = 'MS' \n",
    "df_pivot = df_pivot.resample(freq_time).mean()\n",
    "df_pivot.index.freq = freq_time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>lat_long</th>\n",
       "      <th>(25.8, -97.8)</th>\n",
       "      <th>(26.6, -81.7)</th>\n",
       "      <th>(27.0, -80.5)</th>\n",
       "      <th>(27.6, -82.3)</th>\n",
       "      <th>(27.7, -82.4)</th>\n",
       "      <th>(27.9, -82.4)</th>\n",
       "      <th>(28.3, -100.8)</th>\n",
       "      <th>(28.4, -81.1)</th>\n",
       "      <th>(28.8, -81.3)</th>\n",
       "      <th>(29.0, -110.9)</th>\n",
       "      <th>...</th>\n",
       "      <th>(45.8, -106.6)</th>\n",
       "      <th>(47.0, -101.2)</th>\n",
       "      <th>(47.2, -101.3)</th>\n",
       "      <th>(47.2, -93.6)</th>\n",
       "      <th>(47.3, -101.8)</th>\n",
       "      <th>(47.3, -101.1)</th>\n",
       "      <th>(47.9, -65.9)</th>\n",
       "      <th>(49.0, -105.4)</th>\n",
       "      <th>(49.0, -103.0)</th>\n",
       "      <th>(49.0, -102.8)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2000-01-01</th>\n",
       "      <td>4.024838</td>\n",
       "      <td>4.076302</td>\n",
       "      <td>8.681103</td>\n",
       "      <td>4.254332</td>\n",
       "      <td>8.166128</td>\n",
       "      <td>2.724895</td>\n",
       "      <td>4.902469</td>\n",
       "      <td>5.893239</td>\n",
       "      <td>5.733449</td>\n",
       "      <td>2.431313</td>\n",
       "      <td>...</td>\n",
       "      <td>18.777016</td>\n",
       "      <td>6.443851</td>\n",
       "      <td>5.556982</td>\n",
       "      <td>7.820921</td>\n",
       "      <td>7.988350</td>\n",
       "      <td>11.437829</td>\n",
       "      <td>6.611117</td>\n",
       "      <td>11.044418</td>\n",
       "      <td>16.489307</td>\n",
       "      <td>5.585770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-02-01</th>\n",
       "      <td>3.857137</td>\n",
       "      <td>3.475400</td>\n",
       "      <td>7.401391</td>\n",
       "      <td>3.627186</td>\n",
       "      <td>6.962330</td>\n",
       "      <td>2.323208</td>\n",
       "      <td>4.698199</td>\n",
       "      <td>5.024495</td>\n",
       "      <td>4.888261</td>\n",
       "      <td>2.330008</td>\n",
       "      <td>...</td>\n",
       "      <td>16.009029</td>\n",
       "      <td>5.493940</td>\n",
       "      <td>4.737808</td>\n",
       "      <td>6.668012</td>\n",
       "      <td>6.810759</td>\n",
       "      <td>9.751738</td>\n",
       "      <td>6.611117</td>\n",
       "      <td>10.237016</td>\n",
       "      <td>15.283857</td>\n",
       "      <td>5.177423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-03-01</th>\n",
       "      <td>3.521733</td>\n",
       "      <td>3.406172</td>\n",
       "      <td>7.253960</td>\n",
       "      <td>3.554935</td>\n",
       "      <td>6.823645</td>\n",
       "      <td>2.276932</td>\n",
       "      <td>4.289660</td>\n",
       "      <td>4.924411</td>\n",
       "      <td>4.790890</td>\n",
       "      <td>2.127399</td>\n",
       "      <td>...</td>\n",
       "      <td>15.690140</td>\n",
       "      <td>5.384504</td>\n",
       "      <td>4.643434</td>\n",
       "      <td>6.535189</td>\n",
       "      <td>6.675093</td>\n",
       "      <td>9.557490</td>\n",
       "      <td>6.611117</td>\n",
       "      <td>10.233405</td>\n",
       "      <td>15.278464</td>\n",
       "      <td>5.175596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-04-01</th>\n",
       "      <td>3.354032</td>\n",
       "      <td>3.071030</td>\n",
       "      <td>6.540224</td>\n",
       "      <td>3.205155</td>\n",
       "      <td>6.152249</td>\n",
       "      <td>2.052898</td>\n",
       "      <td>4.085391</td>\n",
       "      <td>4.439885</td>\n",
       "      <td>4.319502</td>\n",
       "      <td>2.026094</td>\n",
       "      <td>...</td>\n",
       "      <td>14.146346</td>\n",
       "      <td>4.854709</td>\n",
       "      <td>4.186555</td>\n",
       "      <td>5.892175</td>\n",
       "      <td>6.018313</td>\n",
       "      <td>8.617104</td>\n",
       "      <td>6.611117</td>\n",
       "      <td>8.750677</td>\n",
       "      <td>13.064754</td>\n",
       "      <td>4.425699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-05-01</th>\n",
       "      <td>3.018629</td>\n",
       "      <td>3.443486</td>\n",
       "      <td>7.333427</td>\n",
       "      <td>3.593878</td>\n",
       "      <td>6.898398</td>\n",
       "      <td>2.301875</td>\n",
       "      <td>3.676852</td>\n",
       "      <td>4.978357</td>\n",
       "      <td>4.843374</td>\n",
       "      <td>1.823485</td>\n",
       "      <td>...</td>\n",
       "      <td>15.862024</td>\n",
       "      <td>5.443491</td>\n",
       "      <td>4.694303</td>\n",
       "      <td>6.606781</td>\n",
       "      <td>6.748218</td>\n",
       "      <td>9.662191</td>\n",
       "      <td>6.611117</td>\n",
       "      <td>8.377229</td>\n",
       "      <td>12.507195</td>\n",
       "      <td>4.236826</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 153 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "lat_long    (25.8, -97.8)  (26.6, -81.7)  (27.0, -80.5)  (27.6, -82.3)  \\\n",
       "date                                                                     \n",
       "2000-01-01       4.024838       4.076302       8.681103       4.254332   \n",
       "2000-02-01       3.857137       3.475400       7.401391       3.627186   \n",
       "2000-03-01       3.521733       3.406172       7.253960       3.554935   \n",
       "2000-04-01       3.354032       3.071030       6.540224       3.205155   \n",
       "2000-05-01       3.018629       3.443486       7.333427       3.593878   \n",
       "\n",
       "lat_long    (27.7, -82.4)  (27.9, -82.4)  (28.3, -100.8)  (28.4, -81.1)  \\\n",
       "date                                                                      \n",
       "2000-01-01       8.166128       2.724895        4.902469       5.893239   \n",
       "2000-02-01       6.962330       2.323208        4.698199       5.024495   \n",
       "2000-03-01       6.823645       2.276932        4.289660       4.924411   \n",
       "2000-04-01       6.152249       2.052898        4.085391       4.439885   \n",
       "2000-05-01       6.898398       2.301875        3.676852       4.978357   \n",
       "\n",
       "lat_long    (28.8, -81.3)  (29.0, -110.9)  ...  (45.8, -106.6)  \\\n",
       "date                                       ...                   \n",
       "2000-01-01       5.733449        2.431313  ...       18.777016   \n",
       "2000-02-01       4.888261        2.330008  ...       16.009029   \n",
       "2000-03-01       4.790890        2.127399  ...       15.690140   \n",
       "2000-04-01       4.319502        2.026094  ...       14.146346   \n",
       "2000-05-01       4.843374        1.823485  ...       15.862024   \n",
       "\n",
       "lat_long    (47.0, -101.2)  (47.2, -101.3)  (47.2, -93.6)  (47.3, -101.8)  \\\n",
       "date                                                                        \n",
       "2000-01-01        6.443851        5.556982       7.820921        7.988350   \n",
       "2000-02-01        5.493940        4.737808       6.668012        6.810759   \n",
       "2000-03-01        5.384504        4.643434       6.535189        6.675093   \n",
       "2000-04-01        4.854709        4.186555       5.892175        6.018313   \n",
       "2000-05-01        5.443491        4.694303       6.606781        6.748218   \n",
       "\n",
       "lat_long    (47.3, -101.1)  (47.9, -65.9)  (49.0, -105.4)  (49.0, -103.0)  \\\n",
       "date                                                                        \n",
       "2000-01-01       11.437829       6.611117       11.044418       16.489307   \n",
       "2000-02-01        9.751738       6.611117       10.237016       15.283857   \n",
       "2000-03-01        9.557490       6.611117       10.233405       15.278464   \n",
       "2000-04-01        8.617104       6.611117        8.750677       13.064754   \n",
       "2000-05-01        9.662191       6.611117        8.377229       12.507195   \n",
       "\n",
       "lat_long    (49.0, -102.8)  \n",
       "date                        \n",
       "2000-01-01        5.585770  \n",
       "2000-02-01        5.177423  \n",
       "2000-03-01        5.175596  \n",
       "2000-04-01        4.425699  \n",
       "2000-05-01        4.236826  \n",
       "\n",
       "[5 rows x 153 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_pivot.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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XTYJLkgsAAIAVJfrVwgAAAMCKRMILAACAQSPhBQAAwKCR8AIAAGDQSHgBAAAwaCS8AAAAGDQSXgAAAAwaCS8AAAAGjYQXAAAAg0bCCwAAgEEj4QUAAMCgkfACAABg0Eh4AQAAMGgkvAAAABg0El4AAAAMGgkvAAAABo2EFwAAAIO2/nIHMJ/jzjnteo89fOsdliGS/qzGPmM4xucvcxcAMCv4hBcAAACDRsILAACAQSPhBQAAwKCR8AIAAGDQSHgBAAAwaCS8AAAAGDQSXgAAAAwaCS8AAAAGjYQXAAAAg0bCCwAAgEEj4QUAAMCgkfACAABg0Eh4Z8jDt95huUMAAAAYHBLeGXLcOactdwgAAACDQ8ILAACAQSPhBQAAwKDNbMK7Gs9nXY19BgAAWGozm/CuxvNZV2OfAQAAltrMJrwAAABACSS8AAAAGDQSXgAAAAwaCS8AAAAGjYQXAAAAg0bCCwAAgEEj4QUAAMCgkfACAABg0Eh4AQAAMGgkvDOErxYGAAAoj4R3hvDVwgAAAOWR8AIAAGDQSHgBAAAwaCS8M4RzeAEAAMoj4Z0hnMMLAABQHgkvAAAABo2EFwAAAINGwgsAAIBBI+EFAADAoJHwAgAAYNBIeAEAADBoJLwAAAAYNBJeAAAADBoJLwAAAAaNhBcAAACDRsILAACAQSPhBQAAwKCR8AIAAGDQSHhnyMO33mG5QwAAABgcEt4Zctw5py13CAAAAINDwgsAAIBBI+EFAADAoJHwzhDO4QUAACiPhHeGcA4vAABAeSS8AAAAGDQSXgAAAAwaCS8AAAAGjYQXAAAAg0bCCwAAgEEj4QUAAMCgkfACAABg0Eh4AQAAMGgkvAAAABg0Et4ZwlcLAwAAlEfCO0P4amEAAIDySHgBAAAwaCS8AAAAGDQS3hnCObwAAADlkfDOEM7hBQAAKI+EFwAAAINGwgsAAIBBm9mEdzWez7oa+wwAALDUZjbhXY3ns67GPgMAACy1mU14AQAAgBJIeAEAADBoJLwAAAAYNBJeAAAADBoJLwAAAAaNhBcAAACDRsILAACAQSPhBQAAwKCR8AIAAGDQSHhnCF8tDAAAUB4J7wzhq4UBAADKI+EFAADAoJHwAgAAYNBIeGcI5/ACAACUR8I7QziHFwAAoDwSXgAAAAwaCS8AAAAGjYQXAAAAg0bCCwAAgEEj4QUAAMCgkfACAABg0Eh4AQAAMGgkvAAAABg0El4AAAAMGgkvAAAABo2EFwAAAINGwgsAAIBBI+EFAADAoJHwzpCHb73DcocAAAAwOCS8M+S4c05b7hAAAAAGh4QXAAAAg0bCCwAAgEEj4Z0hnMMLAABQHgnvDOEcXgAAgPJIeAEAADBoJLwAAAAYNBJeAAAADBoJLwAAAAaNhBcAAACDRsILAACAQSPhBQAAwKCR8AIAAGDQSHgBAAAwaCS8M4SvFgYAACiPhHeG8NXCAAAA5ZHwAgAAYNBIeAEAADBoJLwzhHN4AQAAyiPhnSGcwwsAAFAeCS8AAAAGjYQXAAAAgzazCe9qPJ91NfYZAABgqc1swrsaz2ddjX0GAABYajOb8AIAAAAlkPACAABg0Eh4AQAAMGgkvAAAABg0El4AAAAMGgkvAAAABi3Vdb3cMQAAAABLhk94AQAAMGgkvAAAABg0El4AAAAMGgkvAAAABo2EFwAAAINGwgsAAIBBI+EFAADAoK3ohNfMkpml5Y5jtepz/LvaKhVLpJ6hzbuh9QdLa5bmyyzFslqtpG2wkmItqUS/+zrGLuUxuOgXT5jZwyQ9TtJ2kmpJZ0j6rLsfFy0TeH5rSS+UdB9J60tKkq6SdKqkd7n77/uKpc8ysxJLz+M/sa3mNYuOJdKnYJmZ2Eal+txXLLM0LrNWZlZi6XO+rKRYZmkb9dzOitkfrtb5UmIblRq7EsfyaCyTFEt4zexoSadIOlHSr5uHt5W0i6R7u/uTu8o0Heiq478lfdDdTx9r/+6Snu7uL+sxlkW3swJj+WMf4x/Z1s24lIglMqe6Ytm6j/FnHQ0jlpUWr/pd9yspllnaRn3GspL2h6t1vpTYRqWOEyWO5Z2xqANfLQxAkmRma9z9muWOAwCwui3F8ajkJ7y3Vf64+c+SDpf035I2lfQGd/9WU2YLdz+/+f1xku4h6ZeSPuzu185T74Huvmfr/4+U9GpJ50k6WNL+km6g/JH2oU2ZjST9s6SfSvqVpP+QdKmkw9z98gl9uK4tM3u0ux9jZjeX9Ablj+p/JWk/d/9tU2aN8sf4V0v63GjjmNlu7v7x5vf1JT1B+WP4m0r6i/K7oU+6+9WRehYybq0+7eHuRza/R7ZRVyxFxj84dg9x9y+Z2WbNNriHpF9Iev2kP1+Y2QHu/oopxmU7Sf8p6YeSTm769FdJr3b3n0diafrzL5LuL2kz5U8VPuPu32i1WWS+zNOf9tyNzLntxqpIkt4j6TnufsaozqYPX5vU7qQywXFZ9Bppfp84v4P9iczdyDqK7D8m9jvY584yE/p63RqY5/l19r3zlLlurUX2UyX6tIj9wvixJLpm5y0T3M6ReRdZA51tzVP3VNt5kXPqAHd/RYn539FOuE+RY1ZXHc3/F5RXdMU7Rzud+5dgPROPa8H92K0lvVL51IGD3f03zeNvcvdXN78vaF42rx3Nl8jxaEHbsW39SKGgwyW9UdLmypP28ZIulnSk8oSWpI9LerCZvUnSzSR9StIDJH1A0tPN7FxJZ0q6VrnDknQHM7u/u9+z+f9rlT8q30TStyTdWdLlTZujTn9U0nckbS9pZ0mfVN5gh0t6kiQF2nqZpGOUB/1QSS+R9A9NrA9uyh+lvGGvkvRyM3u6u/9K0vOavkrSB5XPZzlc0kXKO82HN4//W7CeiePW9Gd8wqjp1/OabSDFtlFXLEXGPzh2r5b0JeVzfL4oaS9JD2z6/XAze/48fX6kpNFBODIu/yNpb+XF/tlmXC6R9O6mr52xNH3/SfP6h0q6kaRdzOx+7v62KfrcOV8Cczcy574n6etNPaM6tm3G7ZnN/x8paRMzO0TSSZI+7u4nj41lV5nIuJRYI1L3/I70JzJ3u9qRYvuPrn5H+txZJrIGuuZUZK0psJ8q1KeutRhZI1JsbnaViWznyLyLrIGJbZXYzsHxV2A+lJj/ReauAses4LhE8oqJ8QbbOVwd+5dgPV3Htc52lLfF/spvfg4zs0Pc/ROt56XAtg7Ml8jxKJJ7TFQy4U3ufqIkmdl+7v6D5vcr5yh7P3d/YPP7F83sq83vL1Ee9I+7+0eb1x/r7ru221F+l1Irb+wrmk9D2p903sTd92te/z13P6D5/YmtMl1tXdO8A72xpBObd5zfbN79jmzl7qOJ/gFJR5jZG8b6eht3/7exx75rZu0dXqSeSeMmSd+U9AmtnSzXtd/6PbKNumIpNf7RPkvSLVvvjo8zs72b3/eV9PI5+tz+M0hkXK4affpiZq9yd29+X2+KWLZx99HC/JKZnejuDzWz4yWNDp6l5kvX3I3UcUfld+61pAPc/cymjme2yvzB3Z/dzPkHS9rDzN4t6avu/sJgmci4lFojXfM70p/I3I2so8j+o6vfkT5HykTWQNec2lfda21k0n6qVJ+k+ddipD9SbG52lYls58i8i6yBrrZKbGcpNv77avJ8KDH/S/UpcsyKjEtk39AVbyjHCexfIvV0Hdci7azfKnOKpPeZ2Z2bsRyJbOt9NXm+RI5Hke04UcmE99dm9uHm9++Z2aGSLpDU/hPT3czsY8rvRG7k7pc1j99Yktz9I5ZPgH6KmX1G0sd0/QH6kKQfKf8Ja39J3zazy5Qn2cgGrd9f2fr9ug0QaOuNyp9QXCTpFDP7uvJH9Ue36zOzDd398mYDPVr53fH2rTLfNLMjJB2v/O5pE0kPU14Y0XomjlvjJ5Je4c2fFEfM7POt/0a2UVcsRcY/0I4k/b2ZfVvSxma2ubtfYGY3kHST5vnPSTrO3f801uc7TTku69na84Ue1zyfxuLtiuWc5qDwA+WD2mlzjEWR+RKYu5E6zpT0QjPbRtLeZlZL2khzaMblBEknNDuxB01RJjIuJdaIFJvfXf2JzN1IO5H9R1e/I32OlOlcA4E5FVlrkf1UiT51rcXosSQyN7vKRLbzKKZJ8y6yBrraKrGdpdg26poPJeZ/qT51HrOC4xLZN0yMN9hO5/4lWE/XcS2yH7vczG7h7n9w96skPdPMXiPpfq0ykW09cb4Ej0eR3GOikufwJuVzqc5WPsfi4c1Tx/va87fa78rOcferzOwmyp8IfHGsvvUk7SFpO3d/1YR2N5Z0rbtf2nrsrpJ+6q0Tnpsd4i7u/vk56pizLTO7ofJH91tJulDSt939L63n/0HS2e5+7lhd/+ruR7ceu4fyFZqbKU+ob47eTUXqiYxb8/+/+YRzeoPbKNSn1nMLGv9p22mV2UDS5u3XTRIZl3let0b5k45zIrE0sf+L8p9hzlA+9602s61Gi7zUfBmLYb65G66jKb+tpB3c/dOtx3Zy9+/M95pImci4ROKNjF3X/A72JzJ3O9dRU27i/qOr38E+R8pMtQai+945XhfZTxXp0xxtz7tfmLBGIms2UqbrONE575py91DHmp3UVqntvNB98xz1L2r+l+zTWJnrHbMidQT3DeF4J7QT2r9M0+dW2euOa8F8YCNJV7v7lWP13MLd/9D6f+e2nsZcx6M5ykzcjnOq63pJf6qquuFiywTr+McZiqWXMjMWSy/jH2mrYCyRerpimaVtxDqa8VhWWrw9r/uVFMssbaM+Y1lJ+8PVOl9KbKNejrEljsHtn7nOUSztLYEy+xeo486FYukqU6I/peop1U6JWCLjH4k3UqarrVJzIVJPV5k+50uJuTtL66ivsZulbRQpU2odrbR13xVvn7GUOGb1VabPtVZif9hXmVL7ur72QbO0jfo6xpY4Bl9nRd+H18zW947bl2B1aJ2rtNh6wnPKzLaedMrDSmJmm0racPwcKwAYEvZ1q1fJc3g/Kekzyl8nd/E8ZTbW2q+G21xr77t3iLtfYmabSHq28i0wDnf3i5rXvcjd39n8vr2ktyqf83O18onk50nax91/2BHjnu5+YPP7Tsq37DhX+fY271S+uOKN7n5MsI6/k/TvyidSf7+p76/KVxmeO8W4PNvdD21O4D5I0pbKJ4Dv5e7fj7QTjHeui5I+IOkZ3lxg0tWWme2ofJL6Vc1jo/tRHubu/978fhNJz1e+d+WmWnvvytEJ8tFxmdiWmd1F+V3kHSXdTvlih9MlvdbdL2jKFplTZvaIsfCS8pWnr3P3Y7vmdlPHXd39x815Xy+QtIPyfUrf0SoTqadrvkTG/1lNOxcq357mmcpXzJ7k7m9oynSuka4yXbE2dSx639GUmdjvgu1EykT2DRPnQ3C9RrZRZA10zpl5xusId39q83tkWy+onea1e7r7gQX3QYsuE+xzZDuWiCVSR2TudsY7n9F8KLjuF3Scbl47mi+RfV1kvXb2KRBLZC1GxiWyrXd396Ms30v3YEm3VN7ee7r7jxaZV7TX/aLr6Yq1Kdu57ruUvEvD7STdWtKJZvYn5fv1fXa0QRtHSfqIpPdp3fvuHSXpMc1zn1aeDMc2k+RU5Zs9v7Op4xBJT3H3s0aVNoN0lPLGnys5kXKCsrukA5v/v13S05QX/bGS7ql8E+kTJB0TrOMoSf8r6VbKiddrla82PUzSo6cYl6co30fu7ZJe3hwE/175Ksf7RdoJxvtXSd78O7qi8+6SPq917y08qa2DJT1DeRsdYGb3cveDlC/qGPlf5W35SeV7V24jaQNb9wshIuPS1dYhknZvTsC/q/L9AN8h6b2SRreKKTKnlHeUrpxUj8ZuM0k7Kc+frrmtpr0HK2/nc5rxfYCkI5p4FKyna75Exv/fJVXKV8L+SNLtPN/i5RvKNw+XOtZIsExXrFKZfYcC/S7VTrRM176haz5E1mvX+EuxNTBx7MxsdJuutqS160OKbevOuRnYl5XaB5UoE+lzZDuWiCVSR2TudsYbmA+l1v3b1TG/A/Mlsq+LrNfOPgViiazFyLhE9/FHKa+Xg9z95OZDovcq37c6kldE1n2JerpilWLrfqKSCe9f3P1Nkt5kZneQtJuk483sz+7+qKbMTd39I63XnC/pw7b2psQbufv7JcnMPi3pKDP76Fg7a5QXatvFWvfWIEcqT8rx23Rs0vo9ufsvLd8/7kpvrji0tfegi9Sxxt2PaF63h+cbMsvM9mqViYzLFc07tisl/bZ57I9ae6+7SDuReO8r6UXKn4K+090vtevfu6+rrdrdf9n8vpuZ7Wv5dibtubTl6HWSfmVmX3b3vS3fu3Kacelqa8NmnKR8w+pt3f0XZrZlq51Sc+q2kl6sfGued7r7qWb2j97cl1Hdc7ttO3cfPf5TM3tK67lIPV3zJTL+a5THb2Pl8byxmV0qrXNef9caiZTpilUqs++I9LtUO5EykTU7Mt98iKzXyDaKrIGusdtd+YA/rn1rrci2jszNrn1ZqX1QiTKRPke2Y4lYInVE5m4k3q75UGrdR+Z313yJ7Osi6zXSp65YImsxMi6hfbzlT+s39+aLTtz9DDObps+RdV+inq5Ypdi6n6joF0+MfnH3X0h6s6Q3m9ntW2U+YWYnKn/bzMXKH8U/UGu/YUdmtpm7X+juF1n+esr3KH+KNrKXpM81E/4S5Ym0fvP4dSFIep9f/55vt27996TmHd55kj5uZscpJz3fmaKO9c0suXst6Vntx6cclz0lfVj5T+k/MTNX/qai0SezkXY6423eSZ5qZveV9AEzO035q/nauto618y28eYrA919XzPbQ2u/DUjKNw//X+V7V+6s/G1I0rr3MYyMS1dbB0tyMztb+d3l6JYsp4+NwTRzajQv15lTnm99sr/lPwm+xMz+U/nTkZHOuZ1Dse9Iup2tvX/oeso74mnq6ZovkfF/a9PGGcrfAnSKpCskHdAq89WxNfLFJqb2LZa61lFXrFKhfUeg36XaiZSJrNmJ8yG4XrvGf9RQ1xroGrsPSDrDx/5Eafk+qiORbR2Zm137slL7oBJlOvsc3I4lYonU0Tl3g/F2zYdS6z4yv7vmS2RfF1mvkT51HocDazEyLpFtfa3yp/JXt/YvG2vt/W0jfY6s+xL1dMUqxdb9RCXP4b2Vt/4kPKHclsobdzPlczS+6+7njeqQdJGPnbdi+aPrb449diPlxXqhd3yP9YRYNpd0iec/b9xZktz9p1O8fgvld2N167ENJG3v7t8b9SkyLk3Z22rtfex+4Wu/w7yznYUwswco3+vuna3H5mprfUl3n6YtMzM19670Oc6tnmZcOtpZI2kLSX9ux9xuR9PNqc0kXdA1pyyfi3Vnd/9267F55/aEejaSdAd3P23aeuabL81zE8c/KrJGgmUmxbrofUerzLz9LtzOxDILXUfNHLxjez60nntA8/p3jT0+cfyja6DgnJl3W5dsJxBHZzsFy0zs81jZ6+13S8USrGOq/dR88UYUWveLOk4H4wyv12m29RztdK7FKcZlUeuoVF6xVPnJUih6lwbLJ5jfX3kh/VH5Jt1ntp7fTDkb/7PySdmvV05aD/L8Z4uJzzd1bKx8gcd9JN1Uc59031lPV7wl6ihZZrFjW7qecbbuxXEvUj7n6MwJ5Tvbse6LHDvnQqTPkT51lelz/APrKDL+kXW06O1Yoj+lxq7PNV1oOxYZu5LbYNwc6/4zkw7WpfYNgVgifY7EMrFMwT6XWGul9rvR/cekfXNkXCKxLLpMXzlDZOx6XtORfnf1Z+J2nmJcFn0sj8YySbFTGszsAEk3Ur5Kbyfld0A7mtnJ7v6hptjHmp+/l/Qt5Y10sfLH3Q8IPC/lE5uPlvQ/mv+k+8565on3Hmb2tSbeEnWExqUps5Gk781VJtJOqXi76rHYxXF7SnqUmd1Y+QT9T7j778ZeM822nu8Ci865EBz/zj4FykTHf3w7T70dA2Ui4x9ZRwvdjhdpujW90LlbfP8yxXpdbCwLjfeiQB2RMlPFUnDdL3rfEIwl0ucS8Zbqc4l9Zqn97jT7j/n2zaViKTG/S+YM8x6ng2NXZH8YLDOx38F8oGs7R/OKRR/LI7F0in5DReDbLr409v/jm39PaD12Uuv3H7Z+/0rk+eb3r8/T/tej7UTiLVFHqTIlxrbgNvpLVVWvq6rq9WM/v5yj7BZVVT27qqrjqqo6paqql08Z78RtHZwLkT5H+jSxTF/jH9xGkfGPjN2it2OJ/hScu32u6RLbsdTYlYil1LovMacisUT6vOh4C/a5xLgsuo4p6unaN5eKpcTc7SVnCM6XPtd01zaK9KfUMbbEsbyzTNdPyYvW/mpmz1A+ifrBkn7fPN5u4xIze7Pyu6Rzzew1yh9LXxp8Xpr/pPtPtMpE6umKt0QdpcqUGNtS9UQu5ssF3c9Xvo3LoZbP8/nnKePt2taRuRDpc6RPXWX6Gv9oma7xj4xdpJ4Sa7qvsetzTZfod6mxK1Gm1LqPlCkRS2iNFIq3SB0FxqVYHYF6QvuPArGUKNNXzhDpd59ruqvfkf6UOsaWOJaHj1nzKZnw7iHpOco3VR5dDSlJL22V2U3SrpJ+IelXyvfXk6QnB5+Xu7/dzI7U2pPufy7pPb7uSfed9QTiLVFHqTIlxrZIPe7+MM3B173x80FzPH++pPdPE2/Xtg7Ohc4+R/oUKNPL+AfLdI5/cOxKbMcS/ZF62r8E2+lrO5Yau0WXKbjuFz2ngrFE+lwi3lJ9LrHWiux3I/UE9h+lYikxd/vKGSL97m1NB/odOTaWOsYu+lgejGWy6EfB0/5UVfWkxZaJ1NEq+9DljqWvMrMUS1/jH22rRCzRdiaVmaVtxDqa/VhWYrx9zJeVFsssbaO+x3/SNpilcVmt86XENio1dpF6Is9Hy4x+Sn7CO+4/lE8wXkyZ6z1vc3/tYVL+OrsT+4xlGcssWyx9jn9XW6ViidSzgLZmer6wjmYulkiZVbHuV1Isy9jOssaykvaHq3W+lNhGfR1jl+gYfD1LmfB+p7tIZ5m5nj9P6369a938fvdliGW5yixnLH2Of1dbpWKJ1DNtW7M+X1hHsxVLpMxqWfcrKZblame5Y1lJ+8PVOl9KbKO+jrFLcQy+vuhHwbPyU1XV96qq2niOx0/oO5bV+NPn+He1VSqWSD1Dm3dD6w8/S/szS/NllmJZrT8raRuspFhnrd99HWP7Ogav150Sz5wnSLpqjsd36zuQVarP8e9qq1QskXqGNu+G1h8srVmaL7MUy2q1krbBSoq1pBL97usY288xeLnfhRR4FxM+QZqflT3+JS/OWmw9Q5t3Q+sPP0v7M0vzZZZiWa0/K2kbrKRYZ63ffR1jl+oYvJTn8MrMNpH0eEmfcveLFlImUEfkhO6+YumtzAzF0tv4B9oqFUuRCwlmaBuxjlZALCss3j7X/UqKZZa2UZ+xrKT94WqdLyW2UV/H2FIX861jqU9puLZpY+9FlOl6PnJCd1+x9FlmVmLpc/xLXABQop1omVnZRpHnWUfLH0ukzKzE0ud8WUmx9NnOLMWykvaHq3W+lNhGfR1jSx2D17WEH59vWlXVVhOeX7/Hj/InxtIqt3VfMS00llLj1uf4B2LZoKqqbaqq2nA5x3bIPyX6HF1Hi2xjzXKPVemxKzW/A/vUzrELlpmZfcOs/UzaBitt3CLzssTcLT0uk9ZjX2ut5+204vKXWf1JdV1PnSTPxcyeJemFki6UdLikZ0q6RtJJ7v6Gpsz2kt6q/C0ZV0vaQPlWE/u4+w/N7HxJn5H0cUknuvvVSxjLI8ZeliTtK+l17n5sJBYz21HSG5VPpD7A3b/RPH7Y6Ft/zGx3dz/K8tdeHizplspfAbinu/8oGMvEcWvqeKCk10o6XdIXm/IXSdrb3U9tynTWM2FMj3D3p04q0yobieUQd3++mT1W0usk/UzStsrfnPK/kXaCsUwc24LtRLZzqTk1cXxL9Tmyjia89gh3f2qwP3eR9BZJd5R0O+Vbz5wu6bXufkGkneb3iW0F52Xn2AW3def87poPwf1Y59gFyyx439Blmm3U/N65nQJtllqPE7dBqX1qcG5O7FPBebnofXPwmBWZC5H1WCLeyForsW9e9JyLjkugz4teZ009neMyK0qew/vvkirl73b+kaTbufvVZvYNSaOD4yGSnuLuZ41e1CzOoyTdX9IPJX1A+aq7A8zsO8oT44Qpk99ILIcrfyd7+75umyl/bd2xwVgOlvQM5QV9gJndy90PUl5s7ViOasoe5O4nNweg9yp/D3Qklq5xk/Jk3a153fHNa/8m6VOSdm7KdNZjZm+bYzxTq52ISCx3av59iaQHuPulZrZG0tckFUt41T22pUS2c6k51TW+pfrcuY4C8yXSn0Mk7e7u55jZXSW9TNI7lMfuicF2Im1F5uXh6h67yLaOzO+u+RDdp04cuynKdO1jJiq0jaTYdupSaj12bYNS+9RIn7v6VGpeltg3R+ZTZC4cru71WCLeyForMXdLzLnouHQpsc6k2LjMhJIJ7xpJG0rauKn3xmZ2qdY9T3iN8juItoubxyXpWnc/RdIpkmRm91HeIG/VhJsL2/VPkI7EcltJL5a0vaR3Nu++/tHd95siltrdf9n8vpuZ7Wtmh2rdcV1j+RtCNnf3kyXJ3c8ws3YXumLpGjdJurzZuZxlZme4+9lN3Ne0YwnUs7ukp+j6HjTHY2raGB//SCx/MrMdJP1S0u0lnSbp7yVdPl8787TV9XzX2C6onfEyim3nUnOqa3xL9TmyjrrmS6Q/G0r6Y/P7mZK2dfdfmNmWU7QTaSsyLyNjF9nWkfndNR8i4x8Zu0iZyL5hHXPMlxLbSIptp65YSq3Hrm1Qap8a2n939KnUvFz0vlmxcYnMhch6nDreBe7rSszdEnMuOi4T+x2INTp2kXGJ1DPV89EybSUT3rdKOknSGZKep7xBr5D0X60ye0n6nJldqTz5N21i2Kt5fp0/XzYfjX8j0Hb7BOlXRWJx90sl7W9mG0t6iZn9p/I7nZFILOea2Tbu/tumzL5mtoekfxuL7fOSrjazzd39gqbN674mLxBL17hJ0h/NbI27X+PuD5YkM1tf6y6SSD0fkHSGu5/b7qiZHaH5jY9/JJbnKb9bvZOkb5rZb5TfzT53QjtztTXx+cDYLrSd8TKd21nl5tTE8S3Y58ia7povkf4cLMnN7CxJt9ba8T59inYibXXOy+DYRbZ1ZH53zYfI+EfGLlImsm8YNz5fSmwjKbb/6Iql1Hrs2gal9qmRPnf1qdS8LLFvjoxL51wIrseFxLuQfV2JuVtizpXaxy9knY3X8SrFxiVSz7TPR8tcp9g5vNMwsxspb5wL3H3iu8a+NO8U7uzu357VWBYybma2vl//3MBlGf+5Yulb13Ye7QB6DquI+cY30OcNlM/3++NyrUfLf4LcQtKf3b3XndKkeTlL+4X5RMYuOr6zuG8emYX9x3yWatxmuc8jHeun6LishPU4l6XejiXHZcJxpJe5GGlnwbH0cIXhYxdbpv18VVUPrKrqxKqqDqqq6mFVVX2/qqqTqqq6d9+xLHeZ5Yhluce/KXNEyViqqrpLVVWfrarqjKqqrqyq6uSqqt5VVdXm0VhmaRsF+3zI6LGqqr5bVdWHq6r6ZlVVT+s7luUuM0uxrLR4u+b/UsRSVdXuzb+3rqrqM1VVfaeqquOqqrrbDI3LLG2j4u1UVbV9VVVfqKrqG83+8tSqqo6pqmr7Wejz2Hw5v6qqw6qq+qdp7xixwrfRjlVVfa6qqk9XVXWf1uOHLfV2nqOeicfqSDuLiWX0s6RfPNGIvKvrKtN+fjEnWpeOZbnLLEcsvY2/dV/sUSqWUhdNdbWz3GXazy/mQo+VOneXu51SZXqPZRHzv3gsil2c1Vcsy93OcsWy0Iscl2NcFnMx/EreRgu9mKzEdh6vp+tYHWln0RfWLtkpDWaWxv90ZmabufuFE14z8fmmzEnuvnPz+5db5558yd0f0iq3ifJJ2Vea2Z0kbTrXx/1mdlPljfCn5ryYqZ5vlbmppL+4+18WWmYliI5/obZ+r7kv9jjQ3W2hsZjZju7+/db/T5V0X3e/tjkn6v/c/UHterpimaON683/acuY2dbKt5L67ej8qGnLzPe8mX1YeSf0AknvdvfTzOw2kj44GsdgPSXWdGeZplznmu4qU6KOPsv0GUtTbs793TTzf4p95oLKmNlXJe0q6Vh3f2D78fb/+4hl7PlFHwNKlOmjHct3DPgnd7+49dhmkr7g7veZq77l0j42NP8fXSj2EHef92L4lc7MTnb3B7T+v6/yqWt3dvfrJYjz5Gyd27lE3hZsZ9FzruR9ePd09wPN7O6S3tc8fANJL3P3rzZl/qZ8gvYnlK+qGz+Jf+LzTZmjlT+Nu6b12PrK79Ye1Pz/tZIepvzO5iRJO0i6RNKV7v7spswDlU90XyPpbspXdp6jfA+633U939TxEEn7Kd9f8GLlHeLmyvfC+3K0zIQxPd7dH2Zmu0j6f8r34jvY3Y9unv+8uz+y+T1S5l+VT+7+saQTJO3TxLSfux8TKRMc/0W305R5o/IVqOPz5MXufnAwluePDWtSvhDgEHc/pCnzZEmvkHTdRT3ufpyZ/be7/2cwlsj8j5T5lLv/i5n9h3KC8Q3l+XuKu785UiZYx6bK83tHSfeUNLrQ4zXu/vMpYimxpiNlImt6YpkSdfRZpudYuvaHE+d/pI5SZczsK03z10p6gq+9OOvL7r5Tz7EUOQaUKNNzLPeX9CZJ4xelvcbdv6Z5jI5p8z2/FGXM7JPu/vhJZSPtlDgO93ws/4Skl/u6H1DsIen97r5h8HjUuZ1L5G3BdhY059pKntLwSEkHSjpA0tPd/WdmdnNJn5Z036bMtyQ9XdITJH3CzK5SHqRPNoPU9bzc/UnjDXu+R90urYf+yd3va/linJ+4+x2k/I6nVWY/Sbu6+9/MbCvlj/9fJOmDkh4TeH5Uxz+5+yWjSi1/knKspC9Hy5jZx+YYz6R8yxEp73Afrryh/5+Z3Vf5T9Htq28jZfZU3hYbS/qBpDsr/9nhREnHRMoEx3/R7TT1vnaOcdHoABuM5QWSfifpY5JG7+6ulfTX1ms+0myDdS7qGSW7kVgUm/+RMps0/z5Z0oPd/VpJMrOvSXpzsExnHZ5v4fLSufrUEoll0Ws6WCayprvKlKijzzJ9xjJxfxeY/511lCrjzZvZsTguUf4zaa+xqNAxoFCZ3mJpEowH2DwXpQWOab2ViSS7kXZU5jjc27Hc3Z8w3iF3P1LSkc1/O49HXdu5sei8LdJOMJaJSia8Nzaz7SRt7O4/awI818yubZWpPd/r7e2S3m5mt1QepI8rn3vV9fwkj5T02eb3NWZ2B+V3pRtaPs/jYuVvexm5gdbeE3ADSVu4+/lmdpPg81J+B3Yz5U9LRm7WPD5NmZ0kPVg5ERtJkj40qsPX/sngZWb29Kav68QSKHOZu/9N0t8s/ynhIkkys6unLDOX9vgvZTsys8e6+2cnFGnHcjflhG035aT3o5Ke6O7tWwKpeec5/ulVVzvtMpH5HynzSzN7lPL3hD/azL6s/CnsJVOUidTR1Z9oPSXWdKRMZE13lSlRR59l+owlsr+7nrH5EqmjVJlZiaXUMaBEmT5jkSS5+2WSLhv9v7UNuo5p6rnM9YzNl0gdJY7DfR7Lu/odOR6peXy+7SyVy9u62gmXmU/JhPcnyn8W/qmtew/A9rk/Z7Rf4O6/V7446B3B5ydpZ/ovV75n3Y+VB/7Dyov1Na0y+0g63vKFOldo7addxwWfl6TnSDrQzG6hvDiulfSH5vFpyhwg6RJ3P6/dITN7V/PrD2zd+9wdbma/k/SeVvFomdF99/Zo2riBpPOnLDOX9vgvZTvjbU183vOntR+25k8qkv5P0pbzvXDKdtplIvM/UubFyp8g7aj8CdKFkr6u/A46WiZSR1d/ovWUWNORMpE13VWmRB19lukzlvH93eivG+393Vza8yVSR6kysxJLqWNAiTJ9xjKf0TboOqb1XWZSrNE6ShyH+zyWd/U7cjzqqkMql7ct5PlomWyaW3TMyk9VVZtUVXWD5vc7VVV1z+WOiZ/etv2Oi3x+vaqqti7QTlrusSg4pltXVbVzVVXbLHcs/Mz2T1VVN62qatuqqm5MLPPG1Xnrq77K9BlLoI41s1RmVmLpeVy6jmtrxv6/WYmxi9YTWdOLWfclL1q7tfK7hauVT7T+TfP4m9z91a0yr5R01Vxlup5vfo9cgBGNZVTmHaN3U2OxzPt88/t2yu/4fyjpZEn7K58b+mpfe+HPostMeH4fd/9FRx2RMtPEEjlZvtS4TLzgrOv5VjsvU/5WqQW105SZeIJ/X3MhuI0idUQuSOsrllkal5kpM2OxRC7wWo2xbKfre6+k57j7Ga06lrxMn7HMx9ZeKDZeR1L+hHJSO0tWZlKsfcbS87h0HT8jdUQuSJuvnue6+08i9QTXdGeZLiVPafigpLcoJ6uHmdkh7v4JSfcZK7O/chLZLnPv4PNS7AKMaCyjMh+Yo0zX85L0P8oJ3ybK56E8Xjn5frekXaYss7fyVYdzlZnv+UMCdUTKTBNL5IK0Eu1I3RecdV6QVqgdqfsE/5JzYbFlInVELkhbyrk77Vzoa1xmqcwsxRK5wGs1xvI95dN8zlQ+0Ev5PqevkPTM5v99lektFuu+yGtmxiUQa5/x9jkuXce1SB2RC4rnq+flU9QTWdORMhOtFykUtL67n+DuJylfYfgIM3uN1g70qMyJc5SJPi+tvQBjRzUXYFi+F9sGC4hlUplIHVe5+8nu/jlJZ3n2M607rtEyX5tQpuv5Pstc5u5/c/c/SfqSu1/k7lcov0kpHcvdlK8ofazyFasfknS2r73grOv5Uu1I85zgr7UXOZScC4stE6lj/IK0jc3sAVr3QpVZm7t9jMsslZmlWOa8eEvrXkizGmO5o6SfSrpU0uvd/RmSfujuz2zV0VeZPmPZSdJeyslR++eXMzguXbH2GUuf49J1XIvUUbv72e7+ds/39H2q8vr7+JSxdNUTWdORMhOVTHgvt3ySu9z9qlZn7ztFmUgdowswHqe1F2B8VutegNFXLOtZvphBTTwys6S1G6VUmb7aiZT5weh5n/9k+SKxuHvt7h9W/lRlfY1dcNb1fKl2Guuc4N/U0z7Bf5a2UaSOFyt/29qOyl9AcYLyu+SnL0MsszQus1RmlmLZR/nirW9L+oikVzWPHzdFHYOLxd3PdPcXKv/1Z28zO0Tr3j6qtzJ9xqK1F3n9rvXzW0nvmrVx6Yq1z1h6Hpeu42dkO1/vgjR3f4e3vuClUD3ja3qv5vG5LiCdVGayxZ7Y3TqReKPRhWRjj98iWiZSx6zHUlXVmq6LokqU6audaJnANinR54kXnE1xQdqi2umzz33Olx6344oal1kqM0ux9DVfVlIsVb6Y5p87Xt9LmT5jGY3LLMQSLNN1IdngtlFzXLv1Um7nwvUUvzix5EVre0g62se+m7r59O9J7n5EVxnlPw931RG5IK2vWBbdzgqMxdV9oUepWLbThAvOup6fIpZIPdtN6ndf419wvkzszxRjt5Lm7szEstLiVb/rfiXFMkvbqM9Yui7OmqV15JNibcquhm0krXuR42K2c/uCtEXX0xVrU19nmS4lL1r7i6SPWf4WjDOVL2TaVvl+j+8LlkmBOiIXpPUVS4l2VloskQuMSsVS4oKoEu2Myky6eKWv8Y+UicyXyAU7Q5u7sxTLSou3r/my0mKZpW3UZyxdFzzN0jqKXJzFNpqujvYFaSXqKXWh3kTFPuEdMbNNlU9ilqSfe/MNINOUmfS8mX3Vm/M+LN+p4X2Sfq18pfmD+4yl7zKzEIuZfcWbr/Y0s6+7+/2a37/k7g8pGUtXW6ViidQTbWsWtlGpPvcVS99lZimWlRJv3/NlpcTSdzuzEoutvYVoLekAdz/TzI51912Xo8+TykRj7TPelbKNSo1dVz2RdqaJZT7FE96lZmbHKd8W6g+tx14j6bXufsPli2x1MLOvKr+5uMbMtnT38yxfxPEVd9+5z7ZKxRKpp89+92Fo/cHSmqX5MkuxrHZmto3yxUO1pLt662KmWbOSYi2pRL9LjV1XPZF2FhPLSkx4N5J0tbtfOfb4LdpJMPpj+Srmrdz9nOVuq1QskXr67HcfhtYfLK1Zmi+zFMtqZGbbStrB3T+93LF0WUmxllSi36XGrqueSDsLimWaK9xm4aeqqj2qOb7msKqqG1RV9dTljm/oP32Of1dbpWKJ1DO0eTe0/vCztD+zNF9mKZbV+rOStsFKinXW+t3XMbavY3DJi9b6EjlBGkunz/EvcQFAiXaiZVaSofUHS2uW5sssxbJaraRtsJJiLalEv0uNXV8X80204k5pGImc0I2l0+f4l7gAoEQ7JduaFUPrD5bWLM2XWYpltVpJ22AlxVpSiX73dYxd6mPwik14AQAAgIj1ljsAAAAAYCmR8AIAAGDQVuJFawCw7Jr7Qf5G0ufd/VETyj1f0s3dfd/F1gUAWBg+4QWApfV8Sa9f7iAAYDXjE14AWCQze6Wkl0raUtK5kg519zeY2eGS7tqUqSV9NfJtYGZ2K0nvlPRASZdJ+pikvdz9CjP7raSbSXqXpGdL+pWkR7v7H83s7pKOauJ4v6TXRNsEgCHjE14AWLyzJL1ROek9XdK+ZnZfSe+RdHZT5smS9gvWd5SkR0t6m6TjJL1E0qtbz28k6eaSPi/JlBNfSTpc0l0kvV3SDgvpCAAMEQkvACzezSW9SdK7Je3aPLa9u39L0kWS5O5Hu/uXuyoys5tIur+kb7r7/pKeK+naVr1q/v+8pj1J2sbMNpG0Y/O6t0rac9G9AoCBIOEFgMW5saSDJP1V0hMlvbl5fMPm32lvdp4Cr7vM3S+XdHXz/zXB1wHAqkTCCwCLc41yknlDSZtLGr/LwgVSvluDme3UVZm7XyLpZEn3MrNXSTpEeV/9hY7XXSTp+5LubWavkHTglP0AgMEi4QWAxblc0iuVE94XSzp+7Pl3KF/I9m5JzwnWuYekz0l6laRHSDpYaz85nuTpks6Q9HJJP2oeuzDYJgAMFl8tDAA9MrMtxx9z9/MK1b2zpK0kna+c/O4u6UXu/q4S9QPASsVtyQCgX3+e47E0x2MLsYWk/27+/b2kNyifEgEAqxoJLwD0a5elqtjdPynpk0tVPwCsVJzSAAAAgEHjojUAAAAMGgkvAAAABo2EFwAAAINGwgsAAIBBI+EFAADAoP1/GFL0n4tpc5MAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Use heatmap to identify mising data\n",
    "ax = plt.axes()\n",
    "ax.set_title('Check for Missing Data')\n",
    "sns.heatmap(df_pivot.isnull(),yticklabels=False,cbar=False,cmap='viridis',ax=ax);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "lat_long\n",
       "(35.1, -114.5)    156\n",
       "(31.4, -96.2)      96\n",
       "(37.1, -88.7)      96\n",
       "(27.7, -82.4)      96\n",
       "(36.2, -80.0)       0\n",
       "(36.6, -108.4)      0\n",
       "(36.5, -89.5)       0\n",
       "(36.4, -79.0)       0\n",
       "(36.4, -97.0)       0\n",
       "(36.3, -86.4)       0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_pivot.isnull().sum().sort_values(ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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QVmpqaigrK5v29VZWVrJkyRK/j42OjlJdXe0SlAD19fWcd955HDp0iLvuusvl8oKOHtx+++1s2rSJO++8k9jY2Gkfr12cTic33HADjzzyCC+++GLQZf/yl7/w2muvsWTJEn7yk59QWFgIQHl5ObfddttRj2VOi97h4WFGR0fF6RUEQRAEYVYpKSmhsrJyRtYbiI6ODlcFK5PCwkJ27dpFU1MTF110EZdeeik5OTnccccdzJ8/n9HRUa699lr+53/+h29961vTPl673HfffXz4wx92CdhAXHDBBVx11VXExsZy//338/GPf5yXXnoJgOzsbJqamo56LHNa9Pb09ACI6BUEQRAEYVaJiYkJ6MjOFPHx8QwPD/t9LC8vjxUrVrB582YuvfRScnNzAV3p6pOf/GTAbK0dHA4HGzZsAODCCy/k9ttvt72ON998k82bN3PffffR39/P6OgoSUlJ3HnnnR7LZWRkuP7/2c9+lq997Wuu28PDw8THx0/xVUwiolcQBEEQBGEOkp6ejsPhYHh4mLi4OBoaGsjIyCA+Pp6uri62bNnC9ddfD0BzczO5ubkYhsHf/vY3Vq5caWtbt956K8cffzwXX3yx677IyMiAVSCs8uijj7r+//DDD1NRUeEjeGFy/AB///vfWbZsmeuxAwcO2H49/pjTJctE9AqCIAiCcCxz9tln8/rrrwOwb98+TjjhBNasWcPGjRu58cYbWbVqFQBXX301q1atYtWqVXR0dLgysBUVFXzmM59xre/UU0/lsssu48UXX6SgoIBnn30WgN27dzN//vyQ47n55pspKChgcHCQgoICvvOd7wDw73//m4KCAv70pz9xyy23sGLFipDr+ta3vsXf//53AO655x5WrFjBmjVruOeee3j44Yddy7388sucd955oXdWCJRhGEe9EgtMaSMvvPACZ511Fv39/a5ubP/1X/9FQ0MD//znP6d1gEL4aWxsJD8/f7aHIQh+keNTmMvI8XnssH37du6++24eeeSRGd3OOeec4xLAR8t0H5+nnXYaTz31FOnp6VYWV4EemPNOb2RkJAkJCa77xOkVBEEQBOFYYd26dZxxxhk4HI4Z3c50Cd7ppr29neuvv96q4A3KnM/0pqWlodSkaJeSZYIgCIIgHEt86lOfmu0hzBpZWVlcdNFF07KuOe/0uud5QZxeQRAEQRAEwT4iegVBEARBEIT3PSJ6BUEQBEEQhPc9c1r0dnd3i+gVBEEQBEEQjpo5LXoDOb0jIyMzPotREARBEARhthkaGmLjxo04HA5qa2vZsGEDa9euZcWKFdx///2u5e69914WLVqEUoqOjo6g6+zt7SU/P5/rrrvO9nj++Mc/snr1alasWMHNN9/s8dgTTzzB8uXL+eAHP8hHP/pRn+cODg5y3nnnsXTpUlasWMEtt9ziMf7f/OY3tsdjh/ec6E1KSgIQt1cQBEEQhPc9Dz30EJdccgmRkZHk5ubyxhtvsGPHDt5++23uvPNOmpqaADjllFN44YUXKC4uDrnOb37zm2zcuNH2WDo7O7npppt48cUX2bt3L62trbz44osAHDx4kDvuuIMtW7bw0ksv8dOf/tTvOm688Ub279/P9u3b2bJlC08//TSgK1Tcc889tsdkhzlfssyf0wvQ399PSkrKbAxLEARBEIRjjNExg5qW6V9vyXyIiQ7YT4FHH32UP/zhDwDExMS47h8ZGcHpdLpur1u3ztL2tm3bRmtrK+eeey4VFRW2xlpdXc2SJUvIysoC4Mwzz+Qvf/kLmzZt4le/+hVf/OIXSU9PZ3BwkOzsbJ/nJyQkcMYZZ7hey/r162loaHA9VlJSwtatWzn++ONtjcsq71nRK06vIAiCIAjhoqYFyq6e/i62lY8qlhT6f2x0dJTq6mpKSkpc99XX13Peeedx6NAh7rrrLvLy8ixvy+l0csMNN/DII4+4HFo7LFq0iP3791NTU0NBQQF/+9vfGB0dBeDAgQOAdpyHhob4wQ9+wLnnnhtwXd3d3fzf//0fX/nKV1z3lZeXs3nzZhG9JiJ6BUEQBEEINyXztUCdifUGoqOjg7S0NI/7CgsL2bVrF01NTVx00UVceuml5OTkWNrWfffdx4c//GEKCwOo7BCkp6fzi1/8giuuuIKIiAhOPvlkqqurARgfH+fgwYO88sorVFRUcNlll7Fnzx6f8ZvLXnXVVXz5y19mwYIFrvuzs7PZv3//lMZmBRG9giAIgiAIIYiJDuzIzhTx8fEMDw/7fSwvL48VK1awefNmLr30Ukvre/PNN9m8eTP33Xcf/f39jI6OkpSUxJ133ul3eYfDwYYNGwC48MILuf3227ngggu44IILAHjggQeIjIwEoKCggBNPPJHo6GiKioooKyvj4MGDHHfccT7rvfbaa1m8eDFf/epXPe4fHh4mPj7e0muZCnNW9A4PDzM6OiqiVxAEQRCEY5L09HQcDgfDw8PExcXR0NBARkYG8fHxdHV1sWXLFq6//nrL63v00Udd/3/44YepqKhwCd5bb72V448/nosvvti1TGRkJDt27PBYR1tbG9nZ2XR1dXHffffxxBNPAHDRRRfx2GOP8YlPfIIjR45w4MABDxfX5LbbbqOnp4cHH3zQ57EDBw5wyimnWH49dglZvaG8vHxDeXn55vLy8lfLy8ufKC8vjy4vLz9YXl7+ysS/s2ZiYD09PQA+tnhsbCwREREiegVBEARBeN9z9tln8/rrrwOwb98+TjjhBNasWcPGjRu58cYbWbVqFQD33HMPBQUFNDQ0sHr1aj7zmc8AUFFR4fp/MHbv3s38+UGyFhN85StfYfny5ZxyyinccsstLFmyBIBzzjmHjIwMli9fzmWXXcZdd91FRkYGAGvXrgWgoaGB73//+7z77rusX7+etWvXeojfLVu2cOaZZ1rfOTZRhhE8lF1eXj4f6K2oqBgsLy//AbAd+FpFRUW5je3YTn4fOHCAsrIy9u3bx9KlSz0eS01N5d577+Waa66xu1phDtHY2Eh+fv5sD0MQ/CLHpzCXkePz2GH79u3cfffdPPLIIzO6nXPOOYdnn312WtY1leNzGl9nwOB1yHhDRUWFe4GOMWAcSCovL38VaASuq6ioOHK0I/TGdHq94w0gXdkEQRAEQTg2WLduHWeccQYOh8OVn50JpkvwTpWOjg6++93vzug2LGd6y8vLi4Azge8Br1VUVHSWl5d/DPgO8GU/y18LXAtw3XXXcdZZ9lIQVVVVgM7uNjY2ejwWGxtLU1OTz/3Ce4uxsTF5D4U5ixyfwlxGjs9ji3POOYeWlhkoEjxDTOX4XL58OcBRH9fBHGZLore8vDwFeAT4ZEVFxRjQOfHQnwC/QZGKiooHgAcmbtqON0RHRxMVFcXChQtRytOpTk1NJSoqSi7tvMeRy3PCXEaOT2EuI8enMJeZq8enlYlskcCjwO0VFRUHysvLY8rLy2MnHj4NODQTAzPLlXkLXpB4gyAIgiAIgmAPK07v5cDJQHJ5efk3gV8AN5eXlw8AI8CnZmJg/mr0mojoFQRBEARBEOxgZSLbY8BjXnf/cWaGM0kw0ZuUlCSiVxAEQRAEQbBMyHjDdPCPf/zD9nNCOb39/f1HOyxBEARBEIQ5zdDQEBs3bsThcFBbW8uGDRtYu3YtK1as4P7773ctd+qpp7J27VrWrl1LXl4eF110kd/1nXvuuaSlpXH++edPaTyPPfYYq1atYvXq1Zx77rl0dHQAUFdXxxlnnMG6des488wz+de//uXz3L6+PtcY165dS2Zmpqsr27333stvfvObKY3JKmERvc3Nzbaf093dPafiDU888QQf/vCHfTqTCIIgCIIgzBQPPfQQl1xyCZGRkeTm5vLGG2+wY8cO3n77be68806ampoA2Lx5Mzt27GDHjh2cdNJJXHLJJX7Xd9NNN025Fu74+Dhf+cpXePnll9m1axerV6/m3nvvBeB73/sel19+Odu3b+e+++7jC1/4gs/zk5OTXWPcsWMHxcXFrnF+6lOf4p577pnSuKwSljbEZs1du8+ZS6J38+bNPPvsszz77LN8/vOf5/vf/37A8QmCIAiC8P7COepksG5o2tebUBRPRExgD/LRRx/lD3/4AwAxMTGu+0dGRnA6nT7L9/X18dJLLwV0TTdt2sQrr7wypbEahoFhGAwMDJCRkUFvby+LFi0CQClFb2+vawx5eXlB13Xw4EHa2to49dRTAUhISKCkpIStW7dy/PHHT2l8oZjToregoMDvY7Mheru6uviP//gPLrnkEq677jri4+O56667wjoGQRAEQRBmh8G6IV474fVpX+9pb3+ApEWJfh8bHR2lurqakpIS13319fWcd955HDp0iLvuustHXD755JNs2rSJlJSUaR9rdHQ0v/jFL1i1ahWJiYksXryYn//85wB85zvf4eyzz+ZnP/sZ/f39vPjii0HX9dhjj3HFFVd4VOkqLy9n8+bN723Rayp/O/T09JCWlub3sdkSvQUFBVx55ZX85S9/eU8ViRYEQRAE4ehIKIrntLc/MCPrDURHR4ePFiosLGTXrl00NTVx0UUXcemll5KTk+N6/LHHHuMzn/HbQuGoGRsb4xe/+AXbt29nwYIFfOlLX+KOO+7gtttu47HHHuMTn/gEN9xwA3//+9+55ppr2LNnDxER/l3sxx9/3CdmkZ2dzf79+2dk7DDHnd65FG/o6upi1apVgK4e0d3dHdbtC4IgCIIwe0TERAR0ZGeK+Ph4hoeH/T6Wl5fHihUr2Lx5M5deeikAnZ2dbN26lSeffHJatu9wONiwYQMAF154IRdccAEACxcuBODyyy/nzjvvBODXv/41zzzzDAAbNmxgeHiYjo4OsrOzfda7c+dOxsfHXes2GR4eJj4+8EnA0RKWiWzTLXpno2RZV1cX6enpgA5i9/X1hXX7giAIgiAcW6Snp+NwOFzCt6GhgaEhnSvu6upiy5YtlJWVuZb/05/+xPnnn09cXJztbd16660+YjkyMtI16ez2228nPz+fd999l/b2dgCef/55li1bBkBRUZEr0nDw4EGGh4fJysryu63HHnuMq666yuf+AwcOsHLlSttjt8qcFL2GYcy5kmXeoldKpgmCIAiCMNOcffbZvP66zhLv27ePE044gTVr1rBx40ZuvPFG11Vo0JEBbzFZUVHhEXc49dRTueyyy3jxxRcpKCjg2WefBWD37t3Mnz8/6Fjy8vL49re/zWmnncbq1avZsWMHX//61wH48Y9/zK9+9SvWrFnDF7/4RR5++GFXXnft2rUe63niiSf8it4tW7Zw5plnWtwz9pmT8Ybh4WFGR0ddItObxMRERkdHGR8fJypq5l+CYRgeojcpKUmcXkEQBEEQZpzrrruOu+++mzPPPJOzzjqLXbt2BVzWX1WG8vJyHnzwQdftzZs3+33u2NgYJ510UsjxfO5zn+Nzn/ucz/3Lly9ny5YtADQ2NpKfn+96zLvca3V1tc/zt2/fzooVK8jMzAw5hqkyJ51eMy8bbCIbELaIw9DQkIcIl3iDIAiCIAjhYN26dZxxxhk4HI4Z3Y7p+M4WHR0dfPe7353RbcxJp7erqwuwJnrDUSvXHI+70yvxBkEQBEEQwsGnPvWp2R7CjHPWWWfN+DbC5vQahmF5+bnm9HqLXtPptfOaBEEQBEEQhNkjLKJ3bGwsYMkNf4QSvUlJScDsit7x8XFGR0fDsn1BEARBEATh6AiL6AV7EYfu7m6SkpICTlILt9N75MgRlFKuKIUpuiXXKwiCIAiC8N5gTorerq6ugC4vTIrecOVqu7q6SE1NdXUVSU5OBkT0CoIgCIIgvFeYk6K3u7s7qOiNiYkhMjIyrPEG9/JpptMrk9kEQRAEQZhJhoaG2LhxIw6Hgx07dnDSSSexYsUKVq9ezR//+EfXcqeeeipr165l7dq15OXlcdFFF/ms6+WXX3Yts3btWuLi4vjb3/5mazyPPfYYq1atYvXq1Zx77rl0dHQAcPfdd7N8+XJWr17NFVdcQW1tbdD1XHjhhR6NKO69915+85vf2BqLXd6TolcpFdZWxN6iV5xeQRAEQRDCwUMPPcQll1xCZGQkCQkJ/O53v2Pv3r0888wzfPWrX3XNg9q8ebOre9pJJ53EJZdc4rOuM844w7XMSy+9REJCAmeffbblsYyPj/OVr3yFl19+mV27drF69WruvfdeQJdWq6ioYNeuXZx33nncfPPNAdfz17/+1WUgmnzqU5/innvusTyWqRCWkmVRUVG2RW+gxhQmc0H0itMrCIIgCMcGow4ndYND077eooR4YiIDe5CPPvoof/jDHwBYsmSJ6/68vDyys7Npb2/3MAr7+vp46aWXQrqmf/7zn/nQhz5EQkKC5bEahoFhGAwMDJCRkUFvby+LFi0CtKA2Wb9+Pf/4xz/8rqO/v5+7776bBx54gMsvv9x1f0JCAiUlJWzdupXjjz/e8pjsEBbRm5qaOq1OL8yu6I2JiSEqKkqcXkEQBEE4RqgbHOL4p9+Y9vVu/dDJLEpO9PvY6Ogo1dXVlJSU+D5v61ZGR0dZuHChx/1PPvkkmzZtIiUlJeh2H3/8ca6//npbY42OjuYXv/gFq1atIjExkcWLF/Pzn//cZ7nHHnuMD33oQ37X8c1vfpMbbrjBr9guLy9n8+bNx5bo7erqIjc3N+gySUlJYRW97u30lFLSlU0QBEEQjiGKEuLZ+qGTZ2S9gejo6PBrAjY3N3PNNdfw29/+1jXJ3uSxxx7jM5/5TNBtNjc3s3v3bs455xxbYx0bG+MXv/gF27dvZ8GCBXzpS1/ijjvu4LbbbnMt8/vf/55du3bxy1/+0uf5O3bs4NChQ/zkJz+hpqbG5/Hs7Gz2799va0x2mJOidy46ve5ha5CubIIgCIJwLBETGRHQkZ0p4uPjffoc9Pb2ct555/G9732PE0880eOxzs5Otm7dypNPPhl0vU888QQXX3wx0dHRQZdzOBxs2LAB0BPPLrjgAgCXu3z55Zdz5513upZ/4YUX+P73v8/jjz9ObGysz/refPNNtm3bRklJCePj47S1tXH66afzyiuvADA8PEx8fOCTgKPlPS16w1myzDtjLE6vIAiCIAgzSXp6Og6Hg+HhYeLi4hgdHeXiiy/mYx/7GJdddpnP8n/60584//zziYuLC7rexx57jDvuuMPjvltvvZXjjz+eiy++2HVfZGQkO3bscN1uamri3Xffpb29naysLJ5//nmWLVsGwPbt2/mv//ovnnnmmYA54c9//vN8/vOfB6Cmpobzzz/fJXgBDhw4wCmnnBJ07EdDWKo3TEX0zuWJbKBFrzi9giAIgiDMJGeffTavv/46oB3a1157jYcffthVdsxdlD7++ONcddVVHs+vqKjwiDvU1NRQX1/Pxo0bPZbbvXs38+fPDzqWvLw8vv3tb3PaaaexevVqduzYwde//nUAbrrpJvr7+7nssss4++yzufDCC13PW7t2raXXumXLFs4880xLy06FOef0GoYxp+INhmH4Fb1JSUni9AqCIAiCMKNcd9113H333Zx55pn853/+J//5n/8ZcFl319SkvLycBx980HW7pKSExsZGn+XGxsY46aSTQo7nc5/7HJ/73Od87n/hhRdc/29sbPSYC+UuzN3HsWfPHtft7du3s2LFCjIzM0OOYaqEzent7e21tGx/fz8Oh2POiN6hoSFGR0cl3iAIgiAIQthZt24dZ5xxBg6HY0a38+yzz87o+kPR0dHBd7/73Rndxpxzes0iy6FEb7gmknV1dQH4dXol3iAIgiAIwkzzqU99araHMOOcddZZM76NOZfptSp609PTXYJ0JgkkesXpFQRBEARBeO8QFtGbkpJiW/SGmsiWmZnp6vc8kwQTveL0CoIgCIIgvDeYk06vUipkJxFT9BqGMR1DDIgpelNTUz3ul4lsgiAIgiAI7x3CJnpHRkYYGRkJuWxXVxcpKSk+HUa8ycjIYHx8fMaFZ1dXF6mpqURGRnrcP1vxhp07d9La2hr27QqCIAiCILyXCZvoBSy5vVbKlQGukhYzHXHwV64MZm8i27nnnsuiRYu4/fbbJV4hCIIgCIJgkfes6M3IyAB0y72ZJJDonQ2n1+l00tbWxjnnnMNPf/pTysrKwpJrFgRBEARBeK8zJ0VvqElsMCl6Z8vpTU5OZnh4mPHx8Rndvjs9PT04nU6+8pWvsGvXLpqamti/f3/Yti8IgiAIgvBeZU6KXitOb0xMDMnJybMabwDCGjEwXe158+a5WgVabfohCIIgCIJwLBMW0ZuYmEhkZKQl0dvV1WVJ9ILO9c5mvAEIa8ThyJEjgHa5o6KiSEhIENErCIIgCIJggbCIXrME2XQ6vRCeWr1dXV3MmzfP5/7ZdnpB1z8W0SsIgiAIghCasIhesF6r147ozcjIOKac3s7OTpKSkoiJiQFE9AqCIAiCIFjlPS16rTq94+Pj7N6929I6vQklesPp9B45csQ1gc8cgzTIEARBEARBCM2cFL1WqjeAdnqtiN7f/e53nHDCCVPq3hZI9CYkJKCUCrvT6y56xekVBEEQBEGwxpwSvU6nk56enmmfyPbSSy8xNDTEwMCApfWaDA0NMTIy4lf0KqXC3oq4s7PTI18solcQBEEQBMEac0r09vb2YhjGtMYbDMPg1VdfBbRrawdz+UDOc7i7snnHG0T0CoIgCIIgWGNOid7u7m4AWxPZOjo6gsYWDh8+TENDAzD9ojfcmVqJNwiCIAiCIEyN97TozczMZGxsLKjb+uqrr7qqHcyE6A13yTKJNwiCIAiCINgnbKLXSp1eU/TamcgGwVsRv/rqq5x++ulERERMWfSaHeW8CXemV6o3CIIgCIIgTI2wOr2hXMmuri4iIiJcjR9CkZmZCRB0MpspetPS0myL3iNHjpCWlkZkZKTfxyXeIAiCIAiC8N5gzsUb0tLSUEpZWmcop7euro6amho2btxIenr6lESvv25sJuGcyDY2NkZvb6/EGwRBEARBEKZAWEXv0NAQY2NjAZex05gCIDY2lqSkpICi97XXXiM+Pp7y8vIpO73BRG84nV5z7P6c3qnUHxYEQRAEQTiWCKvoBYK6vXZFLwSv1fvqq69y8sknExMTMyWn1ztO4E04J7KZr9Hb6TUMw3b94fcLTz31FD/4wQ8sNT0RBEEQBOHYJmyi1xSzLS0tAZex043NJFhXtldffZWNGzcCenKcOVHOKlbiDeFyek3R6+30AsfsZLZf/epXfOMb36C0tJQ77riDkZGR2R6SIAiCIAhzlLCJ3rKyMhYtWsS9994bcJmurq5pc3pbW1s5ePAgp512GsCMZHrDGW84cuQISimP/ZOcnAxwzOZ6Ozo6+NKXvsSNN97I7bffzm9+85vZHpIgCIIgCHOUsIneqKgovvWtb/HQQw9RU1Pjd5mpxhv8Ob2VlZUArFq1Cpia6A0VbwjnRLbOzk6fShKm03ssi96SkhK+/vWvs3z5cpqbm2d7SIIgCIIgzFHCJnoBrrrqKhYsWMD3v/99v48fOXJk2uINVVVVpKWluZza94PT6y3ARfR2uMrWWakOIgiCIAjCsUtYRW9UVBTf/va3efjhh6murvZ5vKWlhfnz59taZ6B4Q3V1NQsWLHDdninROzAwgNPptLXeqeDPdY6PjycyMvKYFL1jY2P09PSI6BUEQRAEwRJhFb0Al19+OYsXL+Z73/uez2NTEb3BnN6FCxe6bpui12p5L7Mubqh4g2EYDA4O2hrzVPBuQQyglDpma/UeOXIEmGxQcqzuB0EQBEEQrBF20RsZGckNN9zAH/7wBw8B2t/fz8DAwJSc3o6ODh8x6+30pqWlMTo6ytDQkKX1mq5wKKcXwlM9wV+8wRzDsVi9wTzREadXEARBEAQrhF30AixdupSRkREPh9YsZZabm2trXRkZGYyOjvrUqvXn9AKWIw6mkxiqZBkQlslsgSbVHasOp4heQRAEQRDsMCuiNz8/H4CmpibXfabonYrTC56tiHt7e+no6PDJ9IJ10euvGYQ34XR6/cUb4NgWvVFRUa73ICUlRUSvIAiCIAgBmRXRa7q5jY2NrvtaWlqIjo62Xb3BFL3uk9kOHz4MMC1Ob7DxmIIrHE5voHjDsSx6MzMzUUoB2uk9FveDIAiCIAjWiAq1QHl5+Qbgp4ATaAWuBi4BvgIMAx+vqKiot7PR2NhYMjMzPURvc3Mz8+fPd4kYq5hC0N3praqqIioqioKCAtd9ZhtkO6LXuy6uN4mJiUD4nF4RvZO4lysDiTcIgiAIghAcK05vI3BORUXFRuAQcBFwPXA68M2Jf7bJz8/3cXrtRhsA4uLiSExM9BC91dXVFBcXExU1qekjIyNJTU213Io4VLky0CXY4uPjZ1z0Dg0NMTQ0FDDecKxOZHMXvSkpKQwPDzM6OjqLoxIEQRAEYa4SUvRWVFS0VFRUmDW5xoAlwN6KiorRioqKLcCqqWx4ukQvaLfXPd7gPYnNxE6t3lDd2EzCkSU1oxaBqjeI0zvp5B+L+0IQBEEQhNCEjDeYlJeXFwFnAl8Hstwe8nv9v7y8/FrgWoDrrruOs846y+PxtLQ0qqurXcK3pqaG+fPnewhhq6Smpnqsa9++fRQVFfmsKykpidraWkvbqK+vJyEhIeSy6enpVFVVTWncVnn33XcBXTvY33Y6OztndPveVFVV8cUvfpHLLruMj370o8THx09pPYFejxUaGxspKChwPX94eBjQ7adHRkamtE5BcOdojk9BmGnk+BTmMrN5fJrFEvxhSfSWl5enAI8An0SL3BS3hx3+nlNRUfEA8MDETZ+OEIsXL2bv3r2uwXV3d3PKKacEHWwgFi9eTF1dneu5DQ0NnH/++T7rys7OxuFwWNrGyMgIeXl5IZfNz89neHh4SuO2yoEDBwBYvny5q/WwSUFBAUNDQzO6fW9ee+019u3bx1133cV9993HT3/6U6688krb62lsbJzyuPv7+ykuLnY93+yKFx8fH9Z9Ibx/OZrjUxBmGjk+hbnMXD0+Q8YbysvLI4FHgdsrKioOoHO9y8vLy2PKy8tPAXZNZcPTGW+46KKLePrpp+nr62N8fJza2lqPcmUmaWlp0x5vyM7Opq2tzdI6v/jFL/LDH/7Q0rLuHDlyxKM8lzuzMZGtvb2d/Px8ampqOO200/j2t78d1u2Djje4vz8SbxAEQRAEIRhWJrJdDpwMfLO8vPwVdOWGnwCvAt+b+Geb/Px8Ojo6GBkZwel00traOmXR+5GPfATDMPi///s/6uvrGR8fP+pMr5WJbGBP9D7//PNs377d0rLumALcX2WL2RK9WVlZZGRkcOaZZ85K1QTvTG9SUhJKKangIAiCIAiCX0LGGyoqKh4DHvPz0B+PZsOm7d3c3ExiYiIOh8N2NzaTlJQUPvShD/HEE0+Qk5MDQGlpqc9y6enp7N+/39I67Yje1tbWkMuNjo5SXV1NSUmJpe27E6gxBUxWLRgbGyM6Otr2uqdCR0cHWVk61p2WlhZ2oTkyMkJfX5+H6I2IiJAGFYIgCIIgBGRWmlPApOhtbGyccjc2dy6//HKefvpptm/fTmZmpk/2FWamekNOTo4lp7eqqgqHw+GqxGCHQI0pILxd4UxMpxd0rGB4eDisk8fMSh3uoheO3ZrFgiAIgiCEZtZEb0ZGBjExMTQ2NtLc3AzgcmmnwgUXXEBkZCQ/+9nP/EYbwLroHRsbo6+vz7LT29nZyfj4eNDlKisrAc/OcVYJJsBNcR9Osdfe3u4SnGlpaQBhdVjNmszeolcaVAiCIAiCEIhZE71KKfLy8lxOb0pKCgkJCVNeX1JSEueddx51dXV+J7GBddFrLmNV9BqGEVLMmrGKqTi9oeINEH7R6+70ApabfkwHInoFQRAEQbDLrIlemKzgcDSVG9y5/PLLAYI6vcPDw66aroEwBaxV0QuEjDhUVlYSFxdHb28vY2NjIdfrPR5vgWcyV0RvOMVmZ2cnsbGxrjbQJpLpFQRBEAQhELMuepuamqZN9J533nmkpqayfPlyv4+np6cDoV3JYB3QvLEqevfv3095eTmA5VyxiXelAnfCnel1OBx0dnZ6TGSD8Du9/qpZpKamSqZXEARBEAS/zLronU6nNyEhgcrKSpfj640pekOJTlP0moIuGImJiSQkJASt4GAYBpWVlZx88smA/Vyve4bWm6ioKBISEsIm9o4cOYJhGC7RGxcXR3R0dNgzvf72h8QbBEEQBEEIxKyKXvdM73SIXtCT4SIj/XZGdonYUKK3s7OTtLS0gOvxJlSt3o6ODrq6ulyi106ud3x8nK6uLpfI9EdycnLYRG97ezuAazxKKdLS0sLu9PoTvRJvEARBEAQhEHPC6W1ubp420RsMq6I3WIkwf4QqW2ZOYjvhhBNQStlyeru6ujAMI6DTC+Et1eUteiH8Dmswp1fiDYIgCIIg+GPWRe/w8DBVVVVhEb3R0dEkJSVZEr1WJrGZhHJ6KysrmTdvHjk5OaSlpdlyegNVKnAnnKK3o6OD6Oho1wQ2CH+DCok3CIIgCIJgl1kXvaDr4k61G5tdrJQtC1YizB+hRO/+/fspKytDKUVGRoYtp9eq6A3XRDYzX+w+iSw1NXVOxBtmQ/QahsH9999PRUVFWLcrCIIgCII9Zj3TaxIOpxesiV678QYrTm9ZWRmgy6DZFb2RkZEezqo34Y43eOeL54rTa4p/p9MZtrF0dnby+c9/nuOOO45Nmzbx8ssvh23bgiAIgiBYZ1ZFb3x8vKuiwlwTvdMdb1i6dCmgy6DZjTdkZGQQERH4rQq36PXXFCKcTm+gDnWpqakYhkF/f3/YxmJW7fjtb39LVFQU55xzjkQsBEEQBGEOMquiF3TEISIiImh1gulkpuINgUqWjY6OUl1dfVROb7BoA4S/eoP3ezWVWEFfXx+1tbW2tz80NMTAwEDAeAOEt1GGebJz0UUX8eMf/5ixsbEptZoWBEEQBGFmmROiNysry3J5sKMlPT3dUnMKu6J3cHCQgYEBn8eqqqpwOBxH5fSGEr1zId5g1+m9//77+fSnP217+6agDBRvgPCL3tjYWJKTky3XgRYEQRAEIfzMCdEbrmgDaKe1oaEh6DJTKVkG/ruy7d+/n8jISBYsWODa/nQ7vbMteqfi9La1tQVt6BGIYBP7TKc3nGXL2trayM7OdtUrhvB2pxMEQRAEwRqzLnqvvPJKPve5z4Vte//xH//Btm3beOaZZ/w+PjY2Rl9fn22nF/yL3srKShYsWEBMTAwwc05vOKs3TIfT29PTQ09PDw6Hw9bzgone2XJ6zfc/ISGBqKgoEb2CIAiCMAeZddF71llnhVX0nnTSSVx11VVcf/31jI2N+TxuClI7ojcjIwOlVECn14w2mOu16/SGyjuHy+k1DMPveMymEHaqJvT09OB0Om0LxI6ODuLj40lISPB5LCYmhri4uFkTvUopS5lxQRAEQRDCz6yL3tngf/7nf6ipqeH+++/3ecy85G4KGStERUWRkZER0Ok1J7GBFsiDg4MMDw9bWre/agnemKJ3pkt19fb2MjY25tfpdTqdtqommMLUdG6tEsr5DndXNnfRC1NzvQVBEARBmHmOSdFbWFjITTfdxLe//W2fqEFjYyPgWUPYCv4qOBiG4VGuDCYdZKsRByvxhqysLJxO54w7jP5aEMPUqiaYy9qtdNDe3h40bx3uBhUiegVBEAThvcExKXoBbr75ZuLj4/nf//1fj/sbGxvJzMwkLi7O1vr81eptb2+nq6vLx+kFa6J3ZGSEvr6+kKLXnAjY3Nxsa8x2CSR6zQlcdsSmKQztOr3t7e1BXfiUlJRZFb0SbxAEQRCEuckxK3oTExP54Ac/yJ49ezzub2hocLVHtoM/0VtZWQngIXpNp9eKwxmsPJc7puhtaWmxPuAp0N7ejlLKJ+9sOr12HM6pxhv8TaTzHovEGwRBEARB8OaYFb0ARUVF1NXVedzX2Ng4baJ3//79zJs3z0O0pqamEhkZacnpDVapwJ2EhARSUlLCInozMjJ8aipPpWrC0cQbgjm94Yw3DA8P09vb6ypZByJ6BUEQBGGuckyL3uLi4mkTvTk5OX6d3rKyMpRSrvvMGf5WxJ5V0Qva7Q1HvMHfWKKiokhKSrIs9sbGxhgcHATsO71tbW0hnd5wiV4z7iHxBkEQBEGY+xzToreoqIi2tjaGhoZc9zU2NlJQUGB7XYHiDe6T2Eys1urt6OggNjaWxMTEkMvOnz8/LE5vIMFpR2ya8YP09PRpjzeEs1GHv0of4vQKgiAIwtzkmBe9APX19a77jibT297e7tFsYf/+/R55XhOrtXrNyg3uTnEg7Ije8fFxS8t5E0xw2hF7pjguLi62JXodDgednZ1zJt5gnuS47xMRvYIgCIIwNxHRC66Iw9DQEEeOHJmy6HU6nS4Hd2RkhMOHD/sVvXacXivRBoDc3FxL8YbW1lbS09M5cOCApfV6j2c6nF530Wsn09vZ2YlhGHMm3tDW1kZaWpqr2x5IvEEQBEEQ5irHtOhNSkpi3rx51NbWAtDU1AQwpXiDOZnJdI2rqqpwOBx+4w12nV4rWHV6X3nlFfr7+zl06JCl9boz205voJJp7oSzZJl35QbQ+2F4eNhy8xFBEARBEMLDMS16wbOCg9mYYipOb2lpKQsWLOBPf/oToPO8kZGRLFiwwGdZO05vqBbEJlZF72uvveZat12mK9Pb09ODUoqCgoIpid5Q8YZwZXoDiV6wV75NEARBEISZR0Svm+htaGggPj7eJVzsEBERwSc/+Ul++9vfMj4+TmVlJQsXLvS49G2SkZEx7U5vbm4uXV1djIyMBF1u8+bNwKSAtMN0Ob3d3d2kpKSQkZFBV1eXRw46GG1tbcTExJCcnBxwmdTUVEZHR8PitPoTvenp6YCIXkEQBEGYa4jo9XJ68/PzLU0c88fHP/5xWlpaeO655wJOYgMdb7Di9AYqEeYPKw0qjhw5wu7du4mKirItegcHBxkcHJw2pzc1NZV58+bhdDotC0RTdAd7f6ZSM3iqiNMrCIIgCO8djnnRW1xc7Mr0TrVcmUlhYSFnn302Dz30kKtGrz9Mp9cwjKDrs5vpheCi9/XXXycyMpJTTz11SqXCIHCe1m6m1xS9YD1qEaoxBUx2hwtHxCGY6JXJbIIgCIIwtzjmRW9RURH19fU4nc4pN6Zw51Of+hR///vf2b17t99JbKCd3pGREY/6wN4YhmFL9GZmZhIRERFU9L722musX7+e0tJS206vWZPWvfuYO3ad3rS0NFcUwGoFh1CNKcxxmNuYafyJ3piYGBISEsTpFQRBEIQ5hojeoiJGR0dpa2ubco1edz7ykY+QnJzMwMBAUKcXgou9wcFBhoeHLYveyMhIcnJygpYte+211zjttNPIzMy0LXrb2tpQSgUcz1TiDampqSilbDm9oUSvXSE9VQzDoK2tze9JgNTqFQRBEIS5xzEveouLiwFdq/do4w0AsbGxXH311QBBnV4gaK7XTgtik2AVHPr6+njnnXc47bTTyMrKmpLTm5GRQVRUlN/H09LSGBwcZGxsLOS6TNEbGRnJvHnzpjXeYE5EnOmWzD09PYyNjfkdj9TqFQRBEIS5h38FcwyRk5NDdHQ0hw8fprm5+aidXoD//u//JjY2NqBgteL0TrfoffPNN3E4HHzgAx+gq6vLdqbX36V8d9xjBaHG3NPTw6JFiwC9L6yOxUq8ASAvL89Vc3mmMLux+dsn4vQKgiAIwtzjmHd6IyIiKCwspKKigvHx8WkRvaWlpdx1110BH09MTCQ6OtqS02sKZCvMnz8/oMP52muvsWrVKubNm0dWVhbd3d2WXFmT1tbWgHlesFe1wHR6QYt6q1EEK/EGENErCIIgCIIvx7zoBZ3rfeONN4CpNaawi1KK0tJSnn/++YDLdHR0kJSURFxcnOX15ubmBnR6zTwvTLrHdtxeO05vKLxFr5VxOBwOOjs7Q8YbQIvemY43tLa2EhUV5bems8QbBEEQBGHuIaIXnevdtm0bERERrtJfM80dd9zBAw884BLb3tjpxmYSKN7gdDrZtm0bJ554IjBZdsxOrnemnF6r8QazxNt0O7179+6dUqUHM2oREeH7ERKnVxAEQRDmHiJ60U7vyMgI8+fPDzhRa7q5+OKLufDCC7n22msZHR31eby1tdVWnhcmRa93/d+amhoGBwdZuXIlMCl6p9PpTUhIIDIy0pKA7O7uth1vCFUn2J3c3FxLotcwDDZt2sQDDzwQcllvgu0PEb2CIAiCMPcQ0YsWvRCeaIOJUop7772X2tpafvSjH/k8Xl9f7xqXVebPn8/o6KjPpfV3332XiIgIVwm1xMRE4uLiptXpVUpZEntjY2MMDQ3ZjjeYY7UTb3A6nUGXO3ToEK2trVOKQgQTvRJvEARBEIS5h4heJsuWhVP0gu7g9r3vfY/bb7/dR3hNRfTm5uYCvl3Z9u7dy4IFC4iPjwdw1du1KnodDgcdHR2WuqGFcnrNx+3GG9ra2oiJiSE5OTnksnl5eYyNjYV0kLds2eJat13E6RUEQRCE9xYiepl0eo+2Ru9UuPbaaxkZGWHHjh0e99fV1VFYWGhrXYFaEe/du5cVK1Z43GenVm9HRweGYVgSvaHEnrfozczM5MiRIzgcjqDPM2v0KqVCjjcvLw8gZMRhpkVvqDbTgiAIgiCEDxG94BKX4XZ6QTdTyM3N5fDhw677HA4HDQ0Ntp3epKQkEhMTfVzjd99916/otVMfFwK3IDZJS0uz7PSaE98yMzMxDCOkWLZargwmHe9QsYUtW7YQHx8/7aI3PT0dh8NBf3+/7fUKgiAIgjAziOhFT8I64YQT2LBhw6xsv7S01EP0tra2MjY2Zlv0gm/ZMqfTyb59+1i+fLnHcnbiDa2trUDoPG16enrQ2sPgP94AoSfVWW1MAborXkZGRlCn98iRI+zbt49zzz13SqK3paUlYKUPO5UsBEEQBEEIDyJ6J3jrrbc466yzZmXbpaWlVFdXu27X1dUBTEn0epctq62tZXBw8KjiDW1tbSQmJpKYmBh0udzc3JDuak9PDxERESQlJQHWawZbaUHsPZZgoveNN94gIiKCCy+8kPb2dltRhOHhYbq7u0X0CoIgCMJ7CBG9c4AFCxZ4OL11dXXExsbartMLvl3Z9u7d61G5wcSu6LUiOPPz82loaAi6TE9PDykpKa5sbnp6OkqpkJPO7MQbIHSt3i1btrB69WoWLlzI+Pi4LYEaKu6Rnp4OIBUcBEEQBGEOIaJ3DuAdbzAnsflrfBAKb6fXu3KDiZ1Mb6hyZSb5+fk0NjYGXca9MQVAZGQk8+bNm9Z4A1gTvaeccopLzNuJOJj7N5DTa4p6cXoFQRAEYe4goncOUFpaSnd3t8sZnEq5MpOysjLeeecdhoaGAP+T2GCyPm6oWrZgz+nt6+ujr68v4DLujSlMrJQtsxtvCCZ6R0dH+fe//31UolcpFVCER0REkJKSIqJXEARBEOYQInrnAKWlpQAut3cq5cpMPvrRjzI0NMTjjz8O+C9XBtrpdTgcloSZHacXCOr2eju9ELorm8PhoLOz07bTGyhf/M477zA8PMwpp5xCWloaUVFRtkVvVlZW0O590qBCEARBEOYWInrnAAUFBURFRXmI3qk6vfPmzeOjH/0o9957b8DKDWCvFbEdpxfsi96srCwOHDgQ8DmdnZ0YhjEl0evPyd6yZQsFBQUUFRW5HFs7ore1tTVgtMFEGlQIgiAIwtxCRO8cIDIykuLi4mkRvQBf/OIXeeedd/jjH//ot3IDTIpeK5PZWltbLYne5ORkUlJSbIvez3zmM/ztb3/jueee8/scOy2ITfLy8nA4HH5f31tvvcVJJ53kup2dnW3b6bVSs1icXkEQBEGYO4jonSOYk9kGBwfp6Og4KtG7fv16TjrpJG666Sa/lRtAX36PiIgIKXoNw6Ctrc1SvAFCV3DwJ3rPP/98rrnmGj7zmc/4bW5hClI7Tq/ZoMJfrnfXrl2sW7fOdXsqojeU05ueni5OryAIgiDMIUT0zhHMWr319fXA1Gr0uvPFL36RxsZGv5UbQE+2ysjICCl6+/r6GB4etuyyhqrg0NPT46pj687//u//Mj4+zo033ujzWF1dHSkpKaSkpFgaA0xWVvAWvYODgxw6dIhVq1a57psJ0SvxBkEQBEGYW4jonSOYTq/ZmGKqE9lMLr30UrKzs/1GG0yslC2z2oLYxIro9XZ6QTujDzzwAA8++CCvvPKKx2M1NTWUlJRY2r5JTEwMWVlZflsyO53OoxK9VjO9Em8QBEEQhLlD4OnnQlgpLS2lpqaG2tpaMjIyQnY/C0VsbCy/+c1vgrqjVhpUWG1BbFJQUMDevXsDPh5I9IKOOaxbt44XXniB008/3XX/VEQv+C9btnv3blJSUjyc9JnI9Eq8QRAEQRDmFiJ65wilpaWMjIywdevWo3Z5TT784Q8HfTwzMzOk6G1ra3M1kLDCVJ1ek8WLF1NVVeVxX21trYczaxV/onfXrl2sWrXK1REO7Ine/v5+BgYGQjq9VqIjgiAIgiCED4k3zBEWLFgAwKuvvnrUeV6rWHV6s7KyLHeHy8/Pp6WlhbGxMZ/HRkdHGRoaCip6Fy5cyKFDhzzum26nd/Xq1R73ZWdnc+TIEcbHx0OuM1Q3NpOCgoKA+0EQBEEQhPAjoneOkJmZSWJiIgcOHAir6LWS6bWa5wUteg3D8GiFbGJWZggmehctWuTh9I6Pj1NfX09xcbHlMZjk5uYGdHrdMaMbVmoW2xG9hmEEbJAhCIIgCEJ4CRlvKC8vTwZeAFYAJ1ZUVOwpLy8/CJjXsL9fUVHx/AyO8ZhAKUVpaSl79uyZc06vnfq47g0qvGMaVkTvwoUL6erq4siRI8ybN4+mpibGx8enxeltbW2lvb3dr9MLWuCHErOtra1ERUWRnp4edDnztR9NS2lBEARBEKYPK5neIeB84C63+3oqKipOn5ERHcOEW/SamV7DMDwyru7YdXqzs7OJiorym+u1KnoBqqqqmDdvHjU1NQBTFr2tra2MjY0RHR3N7t27AVi5cqXHcmb9Xyu5XnMSW6i4R2ZmJnFxca4SdIIgCIIgzC4h4w0VFRXjFRUV3nZgUnl5+avl5eV/KC8vtzbDSQhJaWkpcPQ1eq2ybt06RkdH+fWvfx1wGbtOb0REBHl5eX5Fr1nNIJjozcvLIy4uzhVxqK2tJTk5OaSz6o/y8nIiIiJ48sknAR1tKCoq8tl+YmIiiYmJlkVvKDcYtHNfUFAgolcQBEEQ5ghTrd5wSkVFRWd5efnHgO8AX/ZeoLy8/FrgWoDrrruOs846a8qDPFYwKyRER0cHrYAwXSQnJ/PVr36VL3/5y5SVlbkm07nT1NREbGysrfFkZWWxf/9+n+ds3bqVefPm0dPTQ29vL2NjY37XW1RUxPbt2zn11FPZtWsX+fn5fjurWeH888/njjvu4OSTT+btt99myZIlfrc5b948Dh48GPJ1VlVVkZaWZml/BNoPwnuDQMenIMwF5PgU5jKzeXyaMUt/TEn0VlRUdE7890/AZwIs8wDwwMRNYyrbOdb44Ac/yH333ce6deuIjIwMyzbvvPNOtmzZwo033sjrr79OdHS06zFzItby5cuDHkTelJaW0tPT4/Oc2tpa1q9fT0FBAaBzv/7WW1ZWRltbG/n5+Rw5coRFixbZ2r47t912G+Xl5dTV1XHo0CHOOeccv+vKzc1lZGQk5Hb6+/spKSmxNJ5FixbR1dU15bELs0ug41MQ5gJyfApzmbl6fNqu3lBeXh5TXl4eO3HzNOBQsOUF65x66qm0tLSETfACREVF8fvf/569e/fygx/8wOOx9vZ2BgcH/TrAwQhUq3fHjh2sXbs25PPdKzhMtVyZyYYNG9i4cSM//OEPeffdd30msZlYrdVrpTGFSWFhocQbBEEQBGGOYEn0lpeX/ws4G/gVcBXwRnl5+WvAjcC3Z254xx6BJpTNJAsXLuRrX/sav/nNbzzur66uBiazxlYpKCjwEb0Oh4Ndu3ZZEr0LFy6cNtELcP311/PUU08xPDwcsMmFHdFrJdMLWvQ2NDTYGqsgCIIgCDODpXhDRUWFd2uv387AWIRZZO3atdTV1TE8PExcXBwAhw8fJi4uzrLIMzGdXveqEAcPHmRoaIg1a9aEfP7ChQtpamqir6+Purq6oxa9559/PosWLaK2tpYlS5b4XSY7Ozto+2TQcY/W1lbL+6OgoIDW1lZGR0eJiYmxPW5BEARBEKYPaU4hALr9r2EYLncXtNNbWlpq233Oz89naGjIVa0BYOfOncTGxlJWVhby+YsWLQJgy5YtU67R605ERATf/e53ufTSSz0yy+5YcXq7u7sZHR215fQahiGTTQRBEARhDiCiVwB0G+SIiAgOHjzouu/w4cO287wwOXPS/dL+jh07WLlyZUDR6U5xcTGRkZG8+OKLrttHy5VXXskf/vCHgI9nZ2eHbNRhdmOzk+kFJNcrCIIgCHMAEb0CADExMZSUlHiIXtPptUteXh6Ah8NpdRIb6JJtRUVFvPDCCyQmJpKRkWF7DHbJzs6mv7+fwcHBgMtYbUFskp6eTkJCguR6BUEQBGEOIKJXcLF48eJpcXrj4+PJyMigtrbWdd/OnTst5XlNFi5cyI4dOygpKQnL5D6zAUcwt7elpYX4+HiSk5MtrVMaVAiCIAjC3EFEr+DCXfSOjY1RV1c3JacXYNOmTTz88MOuyV/Nzc2WnV6YzPUebZ7XKqboDZa/NSs32BHhUrZMEARBEOYGInoFF+6it76+HqfTOSWnF+BrX/sab731Fq+99ho7d+4ECFgj1x8LFy4Ewid6c3JyWL16Nbfeeivj4+N+l7FTucEkUNmy4eFhli9fzp49e6Y0Xm+2bdvGf/7nf/LHP/4xaERDEARBEI5VRPQKLhYvXkxDQwODg4NTrtFrsn79es4++2zuvPNOdu7cyYIFC0hNTbX8fFP0TsckNitERETw+OOPU1FRwXe/+12/yzQ3N1uexGYSyOndtWsX+/bt49///veUxuvNP//5T/76179yzTXXkJ2dzYMPPjgt6xUEQRCE9wsiegUXixcvBqCqqorDhw+TmZlpOb/qj1tuuYVnnnmG3//+97aiDRD+eAPAsmXLuO+++/jud7/LSy+95PP4VBplBMr0vvPOOwAeJeKOhrq6Oj74wQ/S2trKWWedxeOPPz4t6xUEQRCE9wsiegUXJSUlREVFcfDgQQ4fPjxll9fk9NNP5/jjj2fXrl22JrGBFuCnnXYaxx9//FGNwS4f//jHueaaa7j66qsZHR31eOzQoUMuB9oqhYWFtLe3Mzw87HH/tm3bAD1ZcDqor6+nsLCQ9PR0NmzYYKm73Ezwt80GDz9t0N1nzMr2BUEQBCEQInoFF1FRUZSWlnLgwIEplytzRynFLbfcAmBb9MbFxfHqq6+GLd7gzje+8Q1aWlo8KlkMDQ3R1NQ0JdELvhPk3nnnHSIiIqbN6a2vr6eoqAiw3lJ5JrjpPoNP3mGQc5HBR2510tIp4lcQBEGYG4joFTxYsmSJy+md6iQ2dz7ykY/wwAMPcM4550zD6MJDaWkpUVFR7N+/33WfKU7N2IVV/DWoGBkZYffu3Zx++unT4vQahkFdXZ1rW1lZWXR0dOB0Oo963XZwOg3q2+HBmxW//brima3wyo6wDkEQBEEQAiKiV/DArOAwHU4v6Alin/3sZ4mLi5uG0YWH6OhoFi5cSGVlpeu+Q4cOERERYdt5TklJISkpyUP07t27l7GxMS699FJaWlqOutpCd3c3AwMDLtGbnZ2Nw+Ggq6vrqNZrl/ZuGBmF5SVw5SZFbga0hXcIgiAIghAQEb2CB4sXL2bXrl10dHRMi9P7XmXp0qUeoreqqoqioiJiYmJsrUcp5VO2bNu2baSnp/PBD34Q0BPkjgZTULvHG4CwRxzqWvXfookCF9lp0NYV/nhDT7/BR293cs+fDRrbJV4hCIIgaET0Ch4sXryYnp4eYOrlyt4PlJWV+Yheu9EGE++yZe+88w7r1693dZs72ohDXV0dSiny8/OB2RO99W0QFQnz5+nb2enQ1h3WIQCwrRIeewG+8xuDwksNrvh2eGMegiAIwtxERK/ggVm2LCIiwuUcHouUlZWxf/9+DEM7hcEqN4yNB3cTV69ezXPPPedqemGK3tjYWPLz8496Mlt9fT05OTkuFzolJYXo6OigLZVngrpWKMiCyEjdsS47fXbiDXVtkJoErU8p7rhW8eRmXO+jIAiCcOwiolfwoLCwkJiYGAoLC4mOjp7t4cwaZWVl9PT0uNzSqqoqv6J3cNgg8wKDFR9z8p2HnOyv9RVXX/7yl6mrq+PRRx9lbGyMnTt3smHDBkC76Ufr9LpXbgAdqZiNCg51bQaF2ZO3dbwhrEMAoLYFinMgOkpxyioYG4fu/vCPQxAEQZhbiOgVPIiMjGThwoXHdJ4XdKYXoLKykrGxMWpra/3GG2pboHcATlgOv30GVn7CoHfAU/gWFhby6U9/mu9973vs3r2bkZER1q9fD2jRe7ROr3vlBpNZEb2tk3legOx0NSvxhrpWYzJXnK7/th4J/zgEQRCEuYWIXovsqjL4n0cN3q15/18mPe6442x3UHu/kZGRQUZGBvv376euro7x8XG/Tm/txOStn/+34pkfKRwOaO70Xd+tt95KbW0tN998MykpKa51LViwYFqc3uTs9dz2Kyev7zJwOg2ysrJmJd7gKXpnyelt1U4vQM6E6JUqEoIgCIKIXov88imDW35psOJjBsv+08nTb71/xe9DDz3Ej370o9kexqxjTmarqqoC8C96W7S4i49VLoHlz1UsKirik5/8JC+++CLr1q0jIkJ/9Eyn92gyp/X19bQ6TuOOR+HU6wzyLzHoS/iPWZnIVpSjXLez06BvEIZGwvtZ0eJbjyMlEWKioVVEryAIwjHPnBe9hmHw2AuG36xkOKlthU99GCp+pUiIg8dffP+K3sjISJco84fTaVCx32B0bHb3wU+eMDj3Rif3P2XMSOcvs2xZVVUV8+fPJzEx0WeZ2lbD5SqmJgUXWLfeeitRUVGuPC9op7e/v5/OTj/2sAWcTicNDQ2MRuRy7vFw6DHFmkXQOLYxrKJ3ZNSg5QgUuWV6cyaqOITTZXU6DeraJp1epfTJiDi9giAIwpwXvbur4aO3Gyy7xmD5NU7u/uPsCK3aFijJVWwoU5yw/Nh2jp77Nxx3rUHORww+9n19SX02ePI1gwP18LX7DfIuMfjLK9M7DtPpDVa5obYFiufr/5sCK1B+tKSkhCeeeIIvfOELrvvMsnBTjTi0trYyNjZG39g8iufDwnzFB1YpRpxpYRW9DRNJCu+JbBBewWk2yPCOWbTOQr1gQRAEYW4x50Xv4SaIiIA37lOUL4Ub7zMYD1EiaroxDIOaFiiZEDc56YqWY3hizMEGXYv1B9cqdlfDZ384SycirfCVSxXtf1esWgDbD06/6K2urmbfvn0Ba/S650dBu5vBBNbFF1/sIaBzc3OJjY2d8mQ2s/5vR18iJfOVawyD40lhzfR6N6YAyEzTf8M5ma22Rf81T0SAoCcigiAIwrHDnBe9NS269udJKxVfuEhhGNDRE94xdPVB/5Db5Jh5x/aPaE2zweIC+PxFiq9eqmiehX0xNm7Q0K5PRGKiFUU50+++l5WV4XQ6efXVV0M4vZ45VjvjiIiIoKSkZMpOb11dHVHRMTR2RHlM3uofjqOzs9tVG3imqWvV+dnUpMl9ER2lmJcSXqe3rg2ioyYbZMDsNckQBEEQ5hbvAdFruBxW84cs3NECb/do/jxo79H5wXDzp5cNnnzNYGBo9i7X1rRASa7+f8486OmH4TBPVmpoA6dzchzz5zHt7vvChQuJiopicHDQr+gdGzdo6vTj9Nocx9GULauvrye3aA0jY5PHZ848MFAQnUVHR8eU1muXujbPPK9JuGv11rboiEVExKT4Ptad3pe2GWyrNKRBhyAIxzxzXvS6ZybNiTHhjhbUtEBkJORnTowjHRwO6OwN7zgMw+CTdxpccptB1oUG/3Gbk57+8P+QuV/Sn7UTkYnL6e7u5nQLm+joaFe9Yn/xBlN4+1xKt7kvjqZBRX19PRl5uuav98khMTlhizjUtxke0QYTXbYsfMeoe43eyTHMTr3guYDTafDhrxmUf9ag+DKD6+91zvoEVEEQhNlizote9yxtfKwiJTH8rk3tRMQiKmoyMwnQMrUJ91OmowcGhuDvdyh+/t+Kv74G2w+GdwxgvicT+2KiTNdsnIikJkFasvmezEzOuqysDAhQrsxPjjUnXdk+PhcsWDBlp7euro7EjBXExkw2YjDfE6JzwjaZra7VcxKbSbijBe6VG0yOZae3qUNP7HvkNsUnPgQ/eQJ2Vc32qARBEGaH94jo9bxUGW6BVds6GbEwxwDhdzdrmvXf9UvgEx+C+Njw74u+QYPOnslYQVYaKDU7JyLu78n8efr9mO5LuEuXLiUtLY158+b5PFbXCskJkJY0eV/OPPsir7S0lLq6OhwOh+3x1dfXE5O8kCK3S/pxEyeHMUlFYRW97jV6TWYj3uDt9ObM05n8weFjz+GsmYhmnXs8fPPj+v05livPCIJwbDOnRW/vgEFXnx9xcyS8P141LZ7uUWK8Iik+/ELvcLOuA5uboctjzZ8XfrfZzDeb70lUlCIzdTacXsMzS5sOo2PQ3T+927nyyiu57bbbUMpX0JkxD/fHctJhcBj6B60foyUlJYyPj9PY2Gh7fPX19YxHFXp8RsxxJKSVhkX0Goaujes/3hDeaIF2ej3fK9MBPxZr9da0QFI8ZKTqiYWZqeH/zhAEQZgrzGnR67f80AxMWLIyjmJvUTFvFpzeCfFtOnp68lZ4TwBqW7Wz634pe/4s7QuPk6EM/Xe6T0TWr1/PDTfc4Pex2hbD73EB9vZHYWEhMFl+zCqjo6O0tLQw5MzyGcf8eRCbXBSWTG9Xn47d+J3IFsbGEAND+iqEj9N7DIvew836c2KemM3EhE9BEIT3CnNa9Na0zA2BVdvqGbEAMycYXsF5uNmgNHfy9mz8gNU0Q16mLhNmkjOPGemIFgyzWYhrDLOQLfau0QuTrqId8Z2VlUVsbKxt0dvY2IhhGBwZTPE9PudBZHyeLaf36bcMnnjJ/vvor0aviRlvCEflAHMc3icAGSkTEZxjUPTWeH9nZIT/RFkQBGGuMOdFb763wApzY4i+QYMjvX6c3lnIFvtzN2cjVuB9KT3cJyLj4wb1XhOWUhIhLia8kRPvGr2gBVZkpL39oZSisLDQtuitq6sDoLU71u/xaURl2RK9Dz9tcO9f7Qui+jYtKvOzfB/LTodxh3aDZxpzYqH3hDozgnMsit7DzZP5e9Cf1WaJNwiCcIwyp0VvbYvh8YUNWuiFW9iAnxnhs+A4H26GUjd3c/4MVSwIhne+WY8jvOK7qVMLKXfxrZQK63vidBp+KwVERCiypiCwpiJ6a2trSUovZmBY+Tk+FWNk2Io3tHZpAWuXuladM4+O8jORLYzRgrpWvb34WP/jCHe8obLO4OGnDZo6Zrmm9nz37wyJNwiCcOwyp0WvP4GVk67r446FqRWxv4gFaMEZTtFrGMbEJX33McyS2+x1IjKVMl1Hg2synfcJURgzzm1duhSUt8MKU2tQMRXRW1NTw/ziEwD8TmQbcqTYcnpbj0BDOzgc9vahv9q4JlMRvftqDNtjAF1lJdA4ZiOO9MM/GHzyDoP8SwzKP+vkle3h3f74uD4x84xEHdst1AVBOLaZ86LX36V0w4D27vCMobZFu1ixMb6ZyXAKvZZOGB71/gHT+2EqAmGq1Lb45pvDHbMwZ6SnJ3veH856rN7NMXzGYbMhw1Sd3rScNURF6py1O/PnweBoPK1t1q9lt3ZpB93uyVxtq/9JbKDLuUVHWS/jNjJqsPbTBv94w94YQDu9/t4PmJ1WxNXN8LmPwPN3K4ZG4PEXwyt6Gzt0Ex3v6jezIXrf2G2QdYGTS77h5KF/GnT2SK5YEITwM/dFb66v2IRwihsjoLBp6w5fK2Kz3qb3D5jTGb4TgIEhg/Zu/65i/xBha41sngx5lxELZ2WP2hZdPs48Hr3HES6nNy6tjIIsiIz03RcGir6hGEZGRkKua3TMcOVuzQlhlsfR4nky5o5Syla0oLZVl547ZL96m98avSaz0aCiugmWFinOLFecsDz8WdrDE3W9vSeyDQzZK6k3Hby9D8wtfvkeg4u/IaJXEITwM2dFb7/ZBMGPwILwiRt/l/PNcYSzFfHhZt2MwrxcDJNlusIm9ALMjg93K2J/WW9zHHbHcMW3nfxt81QupePREMKdnCm4ioWFhbS1tTE8PGx9DLW1EFcS8PgELLcidj9xmoro9T45dUdXcLC2j6ubzDFMoYqEnxq9rjGEuV7w6JiebLkgT9/Oywi/6PXuWgiTn9Vwu73VTQZrFsJfvx/BHdcqlyAXBEEIJ3NW9Aa6fBwbo0hLCqfACnAJO8yOsz93M+wnABM/VN6XsmdjX/h33+3nFZ/ZCpt3TkH0+qnRa5I9hYxzUVERAA0NDZaWdzgc1NXVMUJO0OOT6PmWcr3meBPi7E1mGxoxaD3ie3Lqjp1ogSmG6mxOqBsfN2honztOb22LjmGZojc3Q9EUdqfX8HHgZ0/0ep4AtBwJ31UyQRAEkzkres3L+f5+xOx2IqtpNrj5F84pjcNfjV4Ifytif6XCYmMU6cnhdXpzM3SbW3emUqbraPCekW4yf56+jG71x7R/0KB3wL7AArPtrv/HdKbX+rrauw1++OQiUFGWIw7Nzc2MjY3RM5LmV3zHxyqSEwyIybEmeifGu3aRPZfVu0OfP+zEG6qb9Lbtus16Al7gmEXOPH1VZjxME2CrvaIFuRNVZ8Ip9Gqafd+X9GSdsQ636K1qgoV5+jObm6Gz4x094R2DIAjC3BW9E00QvCeQgVkuzPqPx3P/hrses585NV0sf6IiKUGRGMZWxLpcme/94WxFXNPsK7xB50mzbLYiHhs36BkIfEk8EE6nQV1rgMjJPBgbt14T1nTeTOFmB92Ywv/4c+ZB7wAMj1g73rbshkeejyExY6Vl0VtbWwtAa3ec3xMA0DP1rXZla+3Sk84W5dtzes2T00CuN0w2qLBCdZM+gaqdQsQCAovv7DTtvIZLaFU36c9mQtzsCT1/3xkREUrXGA+j6+x0GhxudnN6JyZdNnWEbwyCIAgQJtH79FtTKz8U6AfM7gzk+jZjYp32xlAXZIY+hLdBRU2z/9yk3TJd4+MGN/7cSe+A/fekxk87Ztc4bNZPvvevcOX3M2yPoblTC1t/74ndbLH5o2v3uDAMI+BJCNi/CmDmWDPyN1gWvTU1NcQn5dAzEBH4+JwH8SnFtLaGfoGtR/TyRTn2nO+alont+KmNa2InT3u4GY5bCp099k5SDzdr0e6eX3VnKu2hj4bqJoOF+ZO3cycO9XDmegNeEQlzV7bGdj050dwf5udUmmQIghBuwiJ6K+vsPyeYwLKbz2uYMLrsOnq1IVyscNX+dDgMalsDOL02y4VVNcGP/whv7LE/Dn8l5Ez0CYD1fbG/1uBgY5Tt9rQuRy+A0wvWj43GieOirUu7+lY50gt9gxZEr8VxHG7W207OXGHL6c0tPREIfnzGJhe7XOFgtHYZ5KRDYbayFS0I5P67YzXeYBgGVU1w+lp9247j7C+/6j0GCF+DCvcMK0yK3nC5m6NjOuMc8OpQGOMNZtTD3B9xsYp5KSJ6BUEIP2ERvbVTmIntL49mMj/D3oQl88fTrqN3uFn/WJqXKH3GEaYOYKa76W9/2P0Bm+oJAATON5vjsHMiUtsKw6PK9uXe2hY92Soz1fexpHj9mNX90dQJUZH6/3YElunMBhJZWWn6r9Vjw5y8FZ28yJbTmzZ/LRERvo1TTHLSISohn8rKypDra+uadHrbu62fBAQrV2aSnaYjJ6NjwdfZ1adjIRvX6mPMjvgO5ryDmXEOn9Nb1QQL3MYTGxNeoVffpuMc0/GdcbRUN2kXPt3Nhc/NkHiDIAjhJyyit2YKAkvP0A9wqdLmRKFJoWdPfFc3GR5ujc84bIremmZjSs6wv3qbJvPnKVs/pKa7WWNzX7hm6QdxN+38kJqCpsZm6aLDzTra4F2jFyZaEdu4CtDYbrB2sf6/nZOAw826Rq93QwiTqChFho1WxOb7a0Rbr9VbW1tLXNpyCrMhJjrQJX2FMzKLAwcOhFxfa5cWp6aAbrB4EnA4yMnp5Dj031DHh7kfVpTokxo7J6mWxHeYWhEbhjHh9Hq+L7lTKFvW3m1MqaauuS/9fV5zw9xMpqrRM+oBZgk3qd4gCEJ4CY/Ta1P09g/qJgiBBOf8efoScyjnCPQPUH2bnrFsV3wfbvF0a7yxG7P49P8Y3Pbg1LK0SfEwL8X3sSk7vVNwvSG4+25V5BmG4cqN2h+H7w+oOzk2Ms5NnbCkADJS7buKJfP91+h1jcPisWEYBjUt+n0cMnJsOb3ElQY9PufPg6HxZOrq6hgaGgq6Pp3pVS7Ra9X5DpQbdWfRxPt1KEQ1tuqmyZOJohx7VST0exJ8HOGKI3X26PiL9/dX7hSE3lX/z+D2307tOyMjFZIT/M0DCG8r4upm//si3CXcBEEQ5qTTe9grA+aNORHCimvT3Q+Dw7ChzL749s7leZNj88djb83UOk2Zl279uZvzJyoFDA5b+2FsaNfL2XVYq5tAqVCZXmvr6urTXaGmOo5QQs+q+G5snxBY2fYiONVNwfOjMNGgwkKFkbYufXyevg66h1Pp7u6mry94+Qmn00ltbS3D5AYdR0469A7FYBiKqqqqoOts7dLLpyQqUpOsTWYbHDZo6wrs/pukJily5kFlCD1f3aSPr8hIRXGO9RORkVGDpg4oDfJZhfC1IjbjL97fHXlTuKR/uBn2h45k+3le4GPUjCKFq3xaVSMs9N4XmZLpFQQh/IRF9Oqsnh1RocsWBayDaqPAuulYfWCVfVexuglKg3SastOKuLtPxwPsijzwX6PXxOzKZmfyVkTE1PZFQZb/EnKgf0gHh621N52s7TpuO++tXaPg74nlTG8H5GcqiufbjzcEOxkC69EXUyCdvlbR2RcLRIZ0e9va2hgZGaFrKD34vpgHTkMRGZ8bNOLgcBh09ExOwCvKtub0WqnRa7KkACrrgr/X7kLNThWJ2ladXw11IjJ/XniEVnUzxMVMnpyb5GZAs42TZMMwaO6cYjws2JyIebp82pEwdZP0H/VQkukVBCHshK1Orx1RUd2sf3ijowK1FNV/rYgK88f7pBU6+2olEgFapHb1BRc38+fpgvhWfjxMl6u+3X6BfC2+A48BrAu9hnZYs1ALvpFRe+5mqHyz1XHUtWrhXb541NYPundrV39YnVBnGAZNndpxKrZZpks77xYupVs4Pg8368l35UvB4VQQmx9S9NbU1ADQfCQu+Hsy8TkpWLAhqOjt7AWnc/I9tBotCNZAxpuyImtOr/l6inKU5e+MmhDRG5OFeWpKV1rsYn5eveMvuRn28ve9AzA0ovez3Son1UEm9oWzfXnvgD6h8nZ6zVyx3dclCIJwNIRF9Cplz1msagwusKInJgpZKbDe0KZ/zBcXaDfIalYxVMQC7NX+NMu2ORzQaNPhqGqEhfn+RZbZDc3qD1hjB3xgtf6/3YoFocQmWNsXdW2QnwnFOQ5bJ0N1rVqcTUfkpLNH1w7Nz7InsIKVj/MZh4Xj08wHm4ItJXtVSNFbW1tLbHIJw2PK0vE5v3BN0AoO5kmCeTJZmG0tWmBmkYPV6DUpK1QhSxdWu51MFOWYXdZCi6JQVVZcYyjSy9o52ZsKgU4QzYlsVoWeKZD7Bq03XDHRkYLAE4Hd1z+TBIx6ZOqKNJ3SlU0QhDASFtGbl2nvsn4ogQXWs5v1bQaF2ZO1TK2Km+omPfktP8AMfZj88bAisvbXGa4JPXbczeERg8YOAk7eioxUZKdZG8PomI5YnLxS2R6HLsEUWFSkJ+vyX1aEXm2LQVEOFGY5Ji5NWxMBoUqFwUQr4u7QkRPzxCN/wumtb7MmsBo79I91KNFbmqsnQoZap3lJf16KnqyYlrPGktObXXS8azuBSIjTZbrm5SwN6vSanyNXvCFHWTohqmk2QuZ5TcqK9PEWSHA6HAa1bhNHi3P0frbmlofOWAMsLdInTTPt9gb6/srL1CdaVmMF7qLUzvdn38RE4EDfGYnx+rgIh9Nb3aS/FwqyPO931S2WXK8gCGEkLKK3OMfmRKHm4AILrM/EbmjXX7gpiYq0JOuOc/VEaazIyMDjSEpQJMRZu5xeWQcnLIfUpEkX2QqHm7VD7X150B2rXdnMH9GlRXpmt9UTALMEU7CqCRERynKOta5N79v8TAe9A3qyoRWqvFq7+iMn3VrkxMwT5mboE6JxhzURYOUKAOh9PDIa+nhzn6RYPB/i05dacnpTc9aRGD9ZEzgQOekQn1oaXPQegcR4LYZgwultC30yEqxZiTdlRfo4DiQ4G9r1ezAZb9B/rTjOoWr0mpTm6hNZKxPDnE6D1q6pfT0G+v6y25WtuRPiY7VotPOdUTWxj0N/Z1hf51SpmpicGBXlHfXQf2UymyAI4SQsordkvnVX0btPeyCsfmnXt03WHtUTlqyJ78PNwSMWJqW5+os9FPvrYGmR0vui2foJQNVE1YRQ7qalqMdEubL8LC06rdbqbemE4VELk7csdmWra9WipiDLAdhx30O/J1bzio0duhZsbIxyCSwr4zjcrE9c0gO0uzVZUqjft1AC67DbxLziHIhMKLXk9MamLmVBgIoe7pTmwlhkIR0dHRw54n+nmJUbTIqydXWNUCcjdkRvaa4Wb4EiDt4uflYaxMZYe0+s1OgFLbwW5evPYih+9hc4+5ZM25nTYLnzqYhes3ybrasyjXpfB2paAuZ3xsznaQN9ZuNjtQkhk9kEQQgn4XF6bcyOb+rQlwCtiF4rl8a006uFQcl8G06vhYgFwLJi2Fcb/MdjfNzgUKN2u0pz7f+ABauaANZbETe26zqomak294VFd9Pq7HgtehW58xxERlrfH1beE1NYhLo839Qx2VwiK007alb2h5VyZaDd6OKc4AJrfFzXKzbXVzwfxiLy2Lt3L11dgS3zmpoanDGllsaxrBjaB/QLPXjwoM/jlZWVvPrmPg/Ra4qlUC6rFpuh87ygc/gL8gJPZjvcrCMyaRMnExERisIsaxMMrUwsNFlaBJX1wT+vhmFw/1MGnb2RtiscBMudJ8QpUhLtiF6D3AzTNLB3olzsx111x0778q4+gw980Ul7t32RHOwKkZQtEwQh3ITJ6VW2hA0Ev5QOsKhAcSDEbHCzMYXL6bXhmIQqV2aytAj2hXDzalq0kF9aZM/1Bqiy4m5adL0b2nWGVSnTcbY2huomnTf11/rXnYX5ofOSI6O6DFNRjnaj8jNtOL0WrgDEx+qYQKj3pLHdcOW1lVITFQtCj+FwM5RadDeXFussdyB0jthN9OYoHNEFxMbGcs4559DT4zvLxzAMamtrGTJyLJ2ULS1WVDXHkJSU5Dfi8Nhjj/HKlnddk95AXwlQKvj+cNXotbgvAMoKA5ct8+cIFs8PXUXCbGRjJ2YRyn3fsnvyZKXawlUcd0Llzu10ZWvuxE30Wh9DVaMRNNoA9uINb+7R+2R76MZ+vmMJMhdAtyKW6g2CIISPsDm97d3WGihUN/v2affH8hJd2P9Ib+B1HunVJX/MSRTF863N0nc4dJcsa06vnpUebOJUZb0WEYsK7J0AgP/C7t5Y7bDU0G547guLTq9ZTSPUpfRlxYp3a0KNYWL7E5ECqy6Wq7WrhRMRK+67Wa7MxGqDCivRG89xBF8XeDq9jZ1RvPjiy7S2tnLuuefS2+tpNTY0NDA4OMiRwbSgNXrdx9DeDQuWHOe3gsOLL75IWlYZ2WmT98VEK3Izgp+MuGr0WpzIBlpwBjpR9Vdiy8qJiPlZsuJ6g44Y7a8Lnlf+1f8ZnLgCYqMN26L3UKOummHmo73JsyH0mjshd54++baV6Q2Rvwd7XdnemRC71TbGAPpKRm2LOL2CIMwdwpbpBWtOmpXcJugfcwguKkyB5e70Wpml3zQxQz9Y5y/3cQyNBH9t+2v1PoiP1Q5rfRuMWazVq3/Agosb07UJWbGgXbt4oMfT0G5tHNXNoYU3TJ6IdPYEXqe5n8wcrdXoy5FeXbfUyrGxPITYBM99YWcc9i6lq6Cu4uFmXbUhJXEyfjMyCgmpxbzyyis0Njby1a9+1eM5O3fuhIg42nujbX1OsopP9XF6+/v7eeutt4hKyPNwegE2roXv/s5g72H/76WrRm+Q3Kg3ZUUqYLzhYIPv502fiARfZ02LPqG0UisYtPveNxg4A9/dZ/CnV+DaCxSFWQ7bQu9Qo8HigsCP22lQoZ1eRUmuvVq9wcqVmdhp1PHOAb3d6iZ7rmx9m+fkRG9yLUbUBEEQpouwiF7zB8mKw1nVaE3YZKVpwRDMWaxv0z+IpqNnztIP9WVvNcMK2r1SKrjI2l9nUFak/1+SqzN/DRayiuakvlCCc0Gejk+YIj8QZiUL0PvC6dTiLxR28s0QfF/UteqJYO5Cz1qWVv+1NI4Sxb7a4CKhqRPyMiaFQXGOCnlSNjQy0e7WsqsIHT3QESAL6V1qy3S/a1uhtLSU6667jldffdXjOTt37qSk7DQMQ1kaR3a6zsrGZ6zzEb2bN2/G4XAw5EglJ91TJD14s2L1QjjjK/6F76FG/bmKs1Cj16SsUJ+8eO+Pnn6D7QcnS+mZFFl4Tw4362M6JtraOMoK9d9AWetHn9cVHi4/A4qyx20LvYMNhBa9FoVek1u8YWDIWk3b0TGdEw/l9Jbm6tq/wa6UmbxzUH/H2XW9Dzbov4G+v/Iy7TXrEARBOFrCInrjY3U5KytOmi73E3o5pVTIy9gN7XpWuvmD6KrVG+KHtLpJRyzSQkQsYHLCUjChV1mnBRBMut5WTgAa27WYDfUDZq577+EQ65touwuTAsvKOPy1EfWHeSISbF/Utnq6g8U51uIe1U16Nr85US0Yy4q1uGrv9v/42LjOo7o7vUU5hKwZXBvgUrpj0OH3eUsnTgKCTd5yX1fOPD3R0NxOeXk51dXVHlUXdu7cSeHi0wBrOVbzc+KIXcLBgwdxOp2ux1588UXWrltHR0+Ej9ObEKf4+x2KNYu08K33in7sqjJYtSD09t1ZMiE4vffHqzt0ObPT13neXzxfC7NgVw4ONwdu0e2PtGT9XeRP9BqGwa/+YfDRM3U8oTDbMSWhtyjIlRmrXdkGhw16ByZFL1j7rNa26JPZUCfKy0v031BXRDp7dEThA6umJnpzM3RpR3/YbdYhCIJwtIStDbHVEllWBRboL+5gX9pmYwqTzNSJWfohfjysliszWRpCfJvlygBSkxTpyRZdb4uT+pISdGwimOvtdBo0tkPBxP5IS1akJoXeF4PDeuKZlf2hlJp4T4LFGwzXyQdoYXOkVxfUD0b1xAQy79au/jAd50D7o6VTi6w8NwFdPF9f9g5WpsvMVbrnWMf7x3lh6cu8tOIVtn92J41PTCoD8yQgUMThsNcJXkSE8rikv379egAqKipcy+zcuZO0+evJzQjdgcxkaRH0jOYyODhIU9Pk+F588UU+sPF8xsY9S5aZxMdq4WsY8Pctno/tOARrF1navIvsdO3ye+d6n68wOH6Z/my4s36JdpMvvNWgpz+QW27deTcJNKFuTzXsPASfPm/ixDDbYStL63DoDHAwpzcvU8enQgk9UxjnZujnREdZPEG1eJUqOz30lTKA7RMFP/5jo6KqyZ5APdgQPOpht1mHIAjC0RI20WvlMnb/oHbgrE8UUsEzvW2enYCUUhONMoKv19/lfMeIk+GWkQDjCHy59Eivnl1uxhvA+uStqkZ9aTrUpD7QJwDv1gReZ3u3jna47w8rs8KtNmMwWVYc/Ie0zsvpNV2sUOK7uskIKf5N5qUostMDnxC5urG5Z3onnO+DQSqCVDdpEeLednfg0ACOAQeFHy9k7MgYOz+/m5FWfZwopSaqewQRbF4neO61pNPS0li8eLFL9A4ODnLw4EEikxb7vB/OMSeDNYN+RcmyYkVjVzIAb775JgCdnZ3s2LGD1RvOBCZbEHsTH6s4bin8e//kesfHDXZXw9rF1qMNoPeHP8H5QgWcVe67fHqy4tV7dHe4s28w6OrzfW0HG0Jn3r1ZWuT/8/rMVi3ENpTp20XZ49TZyN/Xteq5AKHiDUMjOp8eDHfRGxGhv7esCPCqRp3XDTSRzsQ8QQ2U2TZ554D+7K9fosdsR6BaiXqATGYTBCF8hBS95eXlyeXl5W+Xl5f3l5eXr5y474ry8vI3ysvLXyovLy+0sqFiCyWyzC91q+JmWbEWS/0BXEL3cmXu4wjVoEKXK/O8r+on1by04hVeXv8au760h949k9/+wcS3WYx/qbfotfIDZkPoLS+Bdy1M6nNvq2ylU171RHMMUxSGItSJSF2bzmqamO/PVE5EghHMcW7q0OXS3LuZFWbD2sVw9XeNgGWy/LW77T8wQGRiJItvWsjqn68CYKhhyPV4IIHV3WfQcsQ3yuN9UlZeXu4SvXv27MEwDIaNXJ9x1P+ugVc2bObFpa/wzid30Pn6ZCRiWQnUtUVw9TWf4YYbbqC3t5eXX36Z6OhoChZotenP6TU5fhn8e//k7cp6PeHOrtML+uTPPd7Q0Gawvw7O3OBfpC0qULz2M0V7N3zkVs/3ZWhEP9fuOJYWK7/vyfP/Njj7uMkqJUXZDhyO0DWfTVwZ1iCfWatCr7lTu7sZE2UCS3KtNbWparT+nbGiJLTTu63SYP2Syc+enYiDFr3Boh76rzSoEAQhXFhxeoeA84E/A5SXl0cD1wOnA9+c+BeSEgslsqqbINKrk5Bz3EnV/1bT/PcWRto9nVYzlxYoM1nfBgXZnl+6JfNhz+Hgl+mqm30jFr27esk8I4PCawro3NzJ4V9MKrtlxXqSib/i7ZX1kJKIR2ayNNe6a2OlagLAilJdLizQ62psh4iIyY5lYE18Vzfp98O9OYZj2EHjE030vtuH4VUxYnmJdrz8nYgYhuHqxmYSG6PIy7Q2Du9yZdU/O8yb571N5fcO0v5yB87xybxqsHJhjR2TDppJZKTihbt15OPU6wyqGn3Hf6AeFnkJiv6DAyQuSkRFKGKzY1DRiqHGYdfjgQTWS+9o4X3iCs/7i+frk4bRMb19d9G7c+dO0tPTaemO9zkB6N3TR9qGVBbduICBQwNU/aTaY18YBnz2yz9ibGyMm2++mRdffJGTTjqJ3qE4YqJ17CAQxy3TYzIjKDsO6phQMBcvEGWFir1un78Xt0FCnO9+cKckV/HATYrNuzzzvXuqdZ3jtYvtjkEfo+4lFIdGDF7bBWcfN3lMFGXrjoFWhd6hCZc1OUCGFeyJ3vnzJgW41aY2VU3WvzOWl6igJ8qgnd4NS3QJu9gY6/tifFxPwg12jCTE6c+bOL2CIISLkKK3oqJivKKiwn2O/2Jgb0VFxWhFRcUWYJWVDRXP12f0I6PBxWZRtu7eZNKzvZfK2w+y47O7eHHpK7x14VbXY4XZkBjvX9wYhkFDu6/Te8UHFf/eD//1I8Nv6bLBYYNWPw5c/4F+Mk7LYNF/LyDnQ9k+bh7Avhrfcew4aLC8xLPGbUmutclbVuptmiwv1pcfA1VjMCf1ue9bK7V6/ZWQa3u2nZ2f383rp77BC2UvU/n9yU5fZp7Wn9Dr6NGXdr1d41B577GJzmXe42h+qoXxvnFan2nj35duo+6hybOfYI5zU4fhEW0wyUhVvPgTRUEWbPyywfCI55i2H/S9pN9/oJ+kxYkAqAhFfH4cQw2TondZsT7B8V7Xs1sNTl45WcXC5D826v10yW0GQyMGxx13HPX19bS2trJz505Wr14zMdnTdxxpx6VR8tli8i7L8xhDcQ7ExUBTdwr3338/v/zlL3nsscfYtGkTVU068hKsBvNxS7VoNuu17pyYxBYZ6fuc2ofq2P+dStqea2esZ8zn8Q+fqI/rR57Vt1/YZrBxTejqC8ct1Vcc3B3n7Qd1LjVYu11/LJ04CTCdWYDNO7V7vWnD5H1J8QaZqdaFXqgMK0Bygv4XqiqF2Y3NxGp976pG63GP5SX6+yJQXrqnX3eSXL9EnyCWzrdeq7emRcepQu0PKVsmCEI4iZrCc9IA92RXpL+FysvLrwWuBbjuuutYuPJcIJt7n+jiyjOG/D2FnQdSyM+IorFx8tLska1dRCRFsOLFpRx5qovGHzRTd6COyES92YXzM3h79yhnrOjzWNeRXsXw6HxiaaexcfLHd0kOPHxjDJ++O522zhF++vluot32wp7DUUAWydGtNDZqp8c54mSwdoiRjGEaGxsZSR6lv6afxsbJ9mPzkrN5c1cfC7M8X9u/3szkQ8cN09g4OUMqOTqWxvZ0Dtc2EhPkHTjUkMNVG3tpbPS/v9xJjVHAfF7b1sHG1aM+j++rTiY7LYbGxslfmNTYWOpa03nhzVaWFY37Xe+7h9PJSXXS2DhZL6nl323ELYql+IeFtD/SQe3v60j6RAIAEQYkxOawZUcvucme495VrfdttNFCY6OTsbExGhsbWVmczAN/T+ADyzooX+IrlGpaI3E6s0mMaqOxUY/TMAz6KvvJvzWXeR9Jp+rTh2nb3UZ0o96hWYkxNLZnsO9gEykJnj/q+2vSSE+ExsZuv6/5p5+L4PjrcnjujXY2TIynszeChvYcCtM7aGyc3L/d+3pI/1Cq61hQWRF07O8gtjEagLRYPfYt29tYWmiOHf71ZhZXbxqksdEz3JkWA098I4qP3jGPM78yzs++MB+lFM8++yz//ve/WbDsA7xaDWlxnsd17/4+Es9OoLGxkaGEQQYbBmloaJh0Cudn8vaeYW66rJyPfOQjPPXUU6xevZq7nhnmhDKHx/vrj/zMLF54e5BFWQO8vWcei/PGaWz0DXhW3nUQnFD98xpQsOjhBSSuSXA9np0Inz8/mS/9NIFlee08tzWTz18w4LMf/LEoL5Pn3xpmVYH+LL2+I4XlRVE0NVksfDtBlBNio+fzxo4uMuP1ycFfX0lmZUksY4MdNA7q5cbGxijIHGXXgVEaG/uCrFGz+1A6eenOkPtyUV4Gb+0e5czVgddZVZ9KemIEjY1dAKTExnG4OZWGhmYCnZ8YBlQ15ZAe30Oj29WGQKTHRgA5vFrRzobFvp+7N9+NATKYn6w/r3nz0tl9MPTrA3hzZywwj3jVhNvXpA8ZyfOorPF/LAnBMb8/BWEuMpvHZ35+YLdwKqK3C0hxu+3wt1BFRcUDwAMTNw2A2z9tcNOv0ohLSOeLl/h+c7f2OFla4jng3rZ+UpYmU7iokHkXz6PxB82kO9JJztcTc9YscdJwJIb8/BSPde2sM1DK4LTyLDJSPbd1VT4UFRh8+OZ4Hnohnts/PWl4P73dIC3J4MS1OS7B0Lu3D5xQfFIRifmJRKyMpOWeVvJy81ATl8hXlDpp6UkjP38yx1DXanCw0eChW2PIz5/s4bth2MBpGBjReeQHqFRxpNegZ8CgfGW6xzob/9iEc9RJ+knpJC5M8HDoinKctPVlku/H6ekddlKa57lvr840+NPrBpd/L4t//VBx4grf5zV2Ojl9vSI/f/L6d1tzB+mr0lm4cSHJIylU/O0dcrNyiYjR+3G5n30B8K93DFISDdavmE9kpKKxsZH8/HzuvcGgd9jgo3dk8rfvK846znMcuxsMwODENdmuCTpDjUM4B50UnlhIWn4qHQuPMN417np9p8bo5/SO5bLMbX8YhsHWSoOvXqbIz0/0u+/z8yEv00l1exYXnqGfu7dRr++skzJdVQac40521e0ld0Muufl6Rl7HgiOMd0+OIyfHICba4MhQtut9qawzaOgwuHRTKvn5aX63//rPDc68PpKf/XMhy5Yto7q6mv3793Pied9DHYYzT8xy7YuRjlEc3XsoOL6AefnpJKxJpG64gay4bGIzYwBYvchJU1c0+fmp/PrXv+a0007j9E3nc/k9Efz3lZ7vrz9OXOHkQFMKeXmp7Ks3uPKsOPInPoMmYz1j7Gzbw/FPlpO6NoVXj3+d2NY4ny+gH3/Z4OVdBp/5SQ5t3fAfH/S/H7w5eZWT/Y3Rrs/SgSYnp64O/gUXiCWFTg40p5Ofr4/ZN/c5Oe9kz3U1NjaytCSG9j7f7xd/NHQ62XRc6H25vsxJbXvwdfYMOVmQPzme9cu08x+TmEd2uv/vjOaOiasDK+f5/Q7wJi9Pf9e192f5Xb5+i0FhtsHqZfqy14qFTvYeJuTrA+h606Agy2DRguDvzZrFTvbXxfocS0JozO9PQZiLzNXjcyrVGw4By8vLy2PKy8tPAXZZfeI3P6746ZcU1/3U4M7f+15S21UFqxZ4X7YdIGmJ/pKNy4sD8Lp87P8y9jNbdRkkb8FrcsoqxafP0zPH3XnngJ644S4mBw4OEBEbQUKxdqzi8+MwxgxG2iYdP38Z0me36jzvCcs97zdLXgXLsVZNnCC55/MMh8Hu/97Lnpve5bUTXuella965Ef1ZDb/lyrdG1OYxE2UpNq0Ac683uDFbZ7PHR4xONgwmZ026T/QT9ISLRjjC+PAwGMcgfK0T79lcOYG38viMdGKR7+p+OiZcN7XDF7f5TmOdw7oy6TuM9L7D2hn0IwWxBfGe0RO8jL1vvcex55qHbM593jf8blzwjJ4e9/kOLYf1FET97JagzVDGGOG6/gEiC/wjDdERSmWFHjGPZ77ty6ft35J4O0vLVZ89VLFi9t0rvfPf/4zvb29jEQtZ2mR574YOKCdT9d7kq8/J8Nu+2NZsXLFbzIyMrj++uvZvCsSpwFnul3SD8RxS3UsqLlTVwJZs9B3Gdd7siSJ6JRoEoriGar3vUoRG6N4+FbF3hpdNWKlxXq/JyxXbN2nT1wcDoNdVbB2ke/ne6hxmJfXv8bWyyo49OMqenf7uohfvFhx71/1RK3mDr0u75Mt0JEaK5f0x8dDlyszWVmq2BOiprbZjc2k1Mp3hsUShyZmBYdAVV/M70KTBblqWqMeAKsWKnZXh15OEARhOrAkesvLy/8FnA38CrgK+AnwKvC9iX+W+fKliruvU9z2a8NjslNLp+525S0E+iv7SSrTP+aRcZHE5sR4/JAuK9YTSMyJPyZPvxVa2Jy4XPHOQc+c8TsH/IzhQL92VSfEWnxBPIDXOHzF9zNva5HnnqMFPdElNwN+/U+D8QDlkKommjHkuVVbGKwZxDni5JTnT+SUl05ipHWEvr2Tl0iXBykX5t6Ywp2YaMXj31ZccDJ87kfeDQh0Ls8s4QTa3Rw4NEBS2cSJSL61fTE2bvDCNjj3BP8nIZGRerLS+iXwx5c8x7Gt0vAYA2iBFZcXR1SyvlgRX+gpNl3NS7x+0J9+W5cqCyW0TliuePvdydvvHDBY5zVhauDgAERAQunk5fu4/DiGmzwvLS8rgVe2G67JW89uNTjruNA1h09coSdjLl5xGnv37iUyMpLGnhy/+yImI5qYDO3qxubEoqIUQ/WeJyIHGvA43p552+DE5daasBy3VGeTX6jQ2dpVfkVvP1GpUcTm6HF4n4h4rG+Z4n+/pLjpShU0T+zO8ct03rmmWU8qHBqBdX5OHLq3dTPcNExsTix1v2vg7Yv+7TPB89oLdX734z8w+OdbemLeKSt912VV6OnSZr4THf2xaqF+X7v9lGAzae70bMSSM0/PX3jsRSPgZNWqRp0Xzkz1+7BfglV90d+Fk+/Ngjz9Or2/a/0RqlyZycpSfRLVekQaVAiCMPNYEr0VFRUfrqioyKuoqDipoqLidxUVFX+c+P8ZFRUVQSqb+ufqs/Ss64rKyfu2HdA/pu7lhxyDDobqhryctHifH3OHw3NSyqEGPQHjQycG/zE9YbmevLLzkL49Pm6w8xBsKAvsNgPEZMUQERvBsMcsfc+qBaFE3u9vU/x9C/zHN/UlSW8ONfg2Y+ivHEBFKhKXJJG6JoXYnFgG6yZFxfISz5nxJh3dBgfq/QsV0ILzcx9RHGqEtq7J5247oH9A3ScKDdYM4Rw1XK5idEoUUalRDLsJzuUTJyLuJxNv7NHNHz50gv8xgBaqG9fAm3s97982MYPcHfeTIYD4/HjGusYY75/MJvtznJ952+Dc44NP3AJ9bBxunqzIsf2gpwAALfISShOIjJ38GMUXxDHaPopjaDL1c+MVild3wkP/1Pvk5e2eVQICsX6JrvAQlX4KAEuXLmVnVYTfcSS6HZ8qUhGXF8eQWxZ8abFuBGBWDTEMg6ffhnOOtyY4TaH9638aLMr3X6Ggv3KA5LIk176NL4xjuD5wtvSLlyhuvMp6jd1VC/SJ4NZ9+v2Ij51sK+w5jn4SFyay5t5VrLlvFWPd44z3eGbWlVL8+muKxnb46s8MTlvjv6XygjxdmzaYQAX9eQVrondlqf67t8b/46NjBh09nqI3IkLx4M3anf7iT/xPwj00Ua7M6kkEwIoS5fdEufWIwbs1cKLbVaoFebrbW6hJeKBPSoKVKzMx94W4vYIghIOwNadwJztdsSAP3nITN9sqdRUE95aV/YcGwMBT3BTGe/yYL8zT9Szdxc0zb+v6luVejpg3RTm6LNBbE47evloYHg3g9C6ZHIOKUMTlx3m4WKsXatH+5GZ9+629uprCOQHc5g9uULxyj+LNvXDujb6VAnYcMljjVX+0b7+nyIovjPe4hL2iVHcUa/GaDf3sVoiNhjPWBd4X5WW6XJzne+In6nFAC++EBV7viful9BL94+h+IvLM2wYrS31LyHlz4grFzkOT5aTMNqj+3M2kJe5j8B99cXex+gYNXt8d+ETEnfIyXeLt7Xehd0DHPLyd3v6DA654hYnpfLu7vccvV9x2DXzlZwaPPAeDw3D2cSGHQEKcbgPcNryAyMhIylZ+gPo2P8fnQc99ARPOt5vgXFKgS4M98bK+fahBC+BQV0NMUpMUZUXw2s7AJcK8T0Ti8uP8xhumSky0Yt1iHTvZftBg9UL/FST69w+4xpFQ5HslwiQ/S/Hz/1YMDAU+CTFjBaFKDIZquetOdro+mdwTQOi1TszL8265feUmxf/dqfjtM3DV7b7Cd+chbLeGNksMendEfOZtfbyctmbyPnNfhHK+R8cMalutOb1pyYrC7MD7QhAEYTqZFdEL2kF4c6+bq+j3EnY/EfERxBfGu+6LK/B0j6KiFEsKYVfV5LqeflsXmff3g+iOUooTV8Db7+rnvnMAkuI93RrDYTBwaNBXVOR7ioq8TMVNV8KX/tegtsXg2a0Gy4o9GzF4s6FMsfleXX/0pXc8H6uohHJvx9nb3SyK83G9wfdy5b/eMjhjXfC2tYnxitUL4K13PZ1e7/ekr7KfhJJ4H3fTfRwLciEmGva65RaffhvODeLympy4XEcqzPJY5l8fwVnZ74pYgBZY4NkYYkWpFiv1E80mXtqG5QxrUoJiRYk+NswrAf7iDQmLE/jBnkP84kAt7xzpISo3ZmIcng7nNz6mWF4Mn/uxLveV5ydq4o8TlsG2A1GceeaZFK+4CPBtxuB9AgDa+XbfF3Gxirs+r/jObwy2VRo8u1ULL+/3NxjHLdV/1yz0P/b+Sk/HOb4wnuGWEZyjTr/LT4UTlk06vYGaUvRV9pO8VI8jNjcWFak8roi4c9WZ8KfbFZ+9wP+6CrK02x5K9B5qNCy5vKC/d1YtgN3V/t1j925s3px7guK5Hyv+9LLvFRF/3xmhMPP63uUW//mWwab1nu53YrwiZ17ojHN1kz7pXWypbRFB94UgCMJ0Mmui96QVirfenbwU7/8StnbSlNslfi2wPH/ALjkN/vfPcLhJO6Yvb4dzLV62PXG5cjm9Zm7TPVIwWDeEc8TpEW8A/3nF2z+tKM2Fj33f4F9vWRN5ZUX6B/CNPZNf+u3d2t0sX+q5bP+ByR9z0FEP9x/z1CRFfpZnrtfhMHhmK3w4RNQDdIbU/CEdGTXYU+37ngwcGPAQm+Y43N+TqCjFpvXwg9/r96OpQwvHD1lwWHMzFcXzJ8exrVJPzHHPnY50jDJ2ZMzjPYmMiyQmO8ZDfJ+5Qf+gXvN9Y2I/GJy0wlqGFXTE4e13tfDOy4SceZ5VIPoPDNCzOJYfvXuYH717mDNf2MqaV97AmRXpI3qjoxSP3KaIibJ2XJicuEJRUQn/+MfTZJWewyKvyXTj/eMMNwz7HJ9xBXEekROAz1+k2/1e/V2DJzdbyxW7c9xSvaw/p3e8f5yh+mGSva7KYOCTcT4ajl+m2Fap35N1ftogO8cmMucTn5OIqAji8mJ93g8TpRSXnq4CNpSIitLHYyh302qG1WTlAgJOZmvu1FeNstP8P37KKj2mN/ZM3tfUYdDcGfrqljf5WXrCp/uJ8ti4wXP/hvNO8t0nC/N07e5gHGzQ4/eudR6IlaUSbxAEITzMntO7Atq69KSU1iMGje3+YwX+xKa3e3TbxxSLC+A/v6cF79BI4FiBNycs1z9obV0G7xz0PwYi4Lm4Ps56YSu3bN/PX+tacBTGeGR6Qc9Kf/SbyuVEWRXeJ6/0/AHbNpF1dh+L4dAiy11wJhT5Cm/dWnTyR2nrPp1J/PBJocdx0go99vFxg93VvpPYQLtofi+le43jlzcq6tvg1ge0q5gYDx9YHXoMoN3et/aaJ0MGG7zeE1e1gjKvcXiJ79gYxR++pSek/fCxCbfZ4nsCE9UC9vufxDbaNsp47zgN+RCpFHsvOJV/ffA4OkbG6F4Wx7Cf2splRYp3HlR8+xPWx3Dich2H2HPYdzY9wMAhXTFhW/Yopz77Jtdt3csj1Y0MFkb5CD2lFA/doujs0VcW7OwL0Je6Y2PweT/cx+F+fLoiJ9MYcTh+mY4gdfX5Ou8Ag4cHfStqFMYzFMDptcKCXKgO0QI4VMtdb8wKDv4mpTUf0RGIqKjA6zt5peeVsor9Oo5jtzudvwoOb+6Bnn740Im+yy/Is3YCUJTjPyPtj1ULdSUPp1PcXkEQZpZZE71rFukuUW/u1a6NUr4zsQcODJC4JIHnmzuo7O3HaRjEF+gSWcPNkz/oZsmrHYfg0/+jhYG7KxcMM7v5xh7/k5UGDgyQUBzPv9o66B4dY2dXH1/YuocHCnv9/pgvL1H85EvacT11jc/DfjlpheLtfZMz6yv2Q1mRZ7euwbohnMNOl4MFWlSMtnlOmlpeot1J8wfkX28ZLC3ybavsD3eBta1Sd7sqnj/5uOE0GDg0QEJZIru7+hgcd0yMI57hxmGPlsSFOboaw0//BHc+qi+Vhuq6NTkOnXU2DMNnBjlAX+UAMZkxPD/UzTd2VPK3+lYaB4f1xCmvE5HlJYoff1Fx24PaPQ82kc6bE5bpH/+ntgQ4GQJqUhwsSEogLjKSdekpKKCr1FdwmiwtVh7lxkKxqEC/D29NOM7+JllGJkby6lgvPWPjtAyP8I0dldyR0s5oh+exATA/Qwvf+fOsnxiarF2saP+7Yn6G7/j7K/U4zJgJQHRKNFEpUR7u+9GyMB/Sk3X+3N/EzL79/ahoReLCyYoa8YX+S6dZZXGBLjPX1OFflJktdxfZcHpXLdCty73z9+Dbjc0fJ69QvLFnUjRXVBqsKAkeYQrE8mL9nWPyr7d0/t5fNMua6LVWrsxk1QL9vWOlNbsgCMLRMGuiNzpKUb5UZ0i3VcKSQs8Z4c4xJwPVgzQuiuKKzds56Zk3WfTUK9zSra/Def+QlhXpGsDNnfaETVKCjhc88qzBwFCgCVNJ7Ovp5/LiXJ7+4HFcXZpPQ9y4nhXe59vJ7HMfUdT8URFv0ek4eaX+0t9VpW9XVBo+lyn792vH2ePH3Cyd5iawPvEh7Zr85Al9+19v6davVlhUoCcAvrl30mF1n8Q23DiMY8BBRd44G59/i5InX2bT82/z56RenKOedYsBLj1d8akP65ncoSppuHPSSn2Jd3e1/oH1fk8GJuoE/7yylj/VNvO5t3ez6h+beXWl06+4+fxF+pjIzfB1wqrvq6Fnp/9uUMtLdMa7p9/3Unr/wQFismOoHBlkWap2nGMjI8iNj+VIXkRA0WsXpRQnLtc1jqub/InvARIXJbK/Z4CzczP582nr+fLSEuoi9Hsx5Kcz1wWnKBr/qiyfGLoTKAbQV6nbMf/+cBPf332I55raOTIy6vcqwNGglOL4ZXrSq7/Pl1m5ISLaLXNeeHQT6r5+jSIhFk78nMEeP9nT2lZdrsyO0FsxUbXAX8Th7Xe1EA3GySv1lTJTgFbs941DmWz72HYqPvoOh35STdfWLp/HrzlH8coOePQ5/dr++Wbg74yFeYrKejhQH9iVtRv1WFqkT2L8RRzqWg3u/qP/CjeCIAh2mTXRC+ZkNv+XsAerBzHGDWpyDJKiItl89ol8ckEBjze1MJ4R6fdH7DPnwy9uUFznp9tbqHE8tcV/CaT+A/1EL0ngUN8gy1K1y1qcGE9jhG7b6U9UQPBLk94szIestMkca6BJbAmlCUTGTXZ9Nif4ue+LNYsUP/yc4tYHDP5vi3ZKP+wnm+cPU2C9uVefiPiLNgAcSBpjYVICD520mpz4GH7Z3+wzDpP//bLixivhstMtDQHQE5RiouHnf9U/dH6F3pJE3u3p51urFlNz8RmUZ6RyKMvhV2wqpfjz7Yq371c+GdZDP6qi+Un/FlNkpHIJCZ9YwUTFhH29A67jAvSx0T7PszHE0XLiCsU/3tT/95nQd0CLzXd7+j2Oz4axEQwCRwvsZHmtYE4svGPPIX5X3chVr+9gyd9fpXrN9Dq9AF+5VHFzgFJn/ZUDvrGXoqOLN+Rn6QmnS4vglC8aruiNybZKfbwuLbK+zpRERVGOr+jtG9QRrQtPCf7+rF6oqyuYbm+gSWwjHaO0/rMN54iT+kcaePNDW+mv7PdY5vR1iq99VE+yfGmbwZ7D/vO8ABefpj8LJ33et4mMid2oR2yMbuDiT/T+9VV9pShYu3ZBEASrzKroPWmFYsdBXSbL+7JtX2U/KkpRFTPK0tQkVqQlc3Wpnh7dszzWr9hUSteb9b78euTtLjaftiVgUfcTliscDh25cBer5mSl9sVROAyD5ROioigxnsbREZyKaXGxlFITuV7dHaqx3de16dvfT3JZEg8crOOn+w7zetsRhmMgJjPGR9h8+VJ96fo/vmmQFA+nWszSgn5PXtupf4D8XUqPL4xj/+Agq9OTOb8gm08sKKB5ZJTxxAi/+yIpQXHXFyICdsbzR2yMblLx++ehZD7MS/E9ARgoi6V3bJzlaUnERUayODmR1kQnw83DOMd8qwXExSoKvS7XjnWPMd4z7uok5o8Tlul4QVGO5/39BwaIXZzIQS/RW5QYT0uSk6Gm4YDHmzf9B/p5ac2rfq8amGNwOnXUxHs/9h8YYHRpHO0jox7H56DDyVBhlE/cY6boPzDA+NI4WoZHeeikVRy+6HSyYmOoLY6Y1kwv6KsGHzs3gOO8X0/2PDIy6tr/8YXxjHWPM9brf/9aITVJ8c8fKtYshHv+4vm+bt1nsHaRPm7t4K9qwXNb9XsdarJjVJR2vN/YY1Dfphs8+JvE1veubl6z7tdr2Pj2ByACBqoGfZa7/dOKlQvg/FsMUpP01RZ/JCconv+x4pzjYdN/G/zlFd+a4HWtWpTbIVAFh6e2GJx/cuhKPIIgCFYIi+jtdesa5s6JK/RkqZYj/i5hD5C4MIF3+wZcP+YFCXFEKOgqjbb1Q9r1Vhd9e/sZbhrxP46JAuzrvVy0kVY9Wak+D+IjIyhJ0s5qcWIcY4ZB/8JonxnyU+XklTqjt+3AxIQUP2WpYssS+ebOA9xbWcuFr2xj0d9eoWtFjI+LpZTiN7costK0+PXO0rY+04bhp7g96PektkVfrvV23003792ePg+BZQB9S2Ns7Yv2lztoursl4OMnrdCRD+/jYqx3nOHmERqKI1DA0hTT3YyjMXIMnDDc7P999mbgsP7x7z8YWPR+5VLFE//Pt2tY/4EBOsuiGTcMlqV4it7m6HGcQ07GjoxZGkfX1m6GG4Z9HDiT45fpv97Hp3PMyeDhQRpL9cfY3ekF6CmLmbaYRTAcww4GawZpXKCvQixPTSYlJprSpATaM6fnxNAKZuWG1iVRLHrqVRY+9QqXv/YOT8b1AEc/jugoxYWnKDbv9JyA9vY+31bjVlhZ6luf9u9bDE5f51mhIxDmBNiK/bqsmj+h2bevn7i8OKLToomIjiA+P47BOl/RGx2l+MM3FdFRuoa0dxdJd+JiFb+/TXHN2XDTL7xPAPT8jOMCRC0CsWqB8tkXR3oNNu+Cj4RwvQVBEKwSFtF75I0jfu/Py1QuB81b5PVNVG7Y5yawYiIjyIuPoyM/wtYl04HqCXFzwL+oKCvSec8PrPYWNnr5w0njLE1JImJC+JQk6lxt95LpExUnrYCaFvi/Lbq+r3uRe8Np0H+gn7ayKMacBs9uOo79F56GwzBoWuJ/0lRmmqLiAcUvb/R8TYM1g2y7ejudr/t/T45fpn+00pOhxKvk0MCBAaLL4qnqH2RFWjKgRR5A9yJ7JyKt/2qj809HArqhJy7X4/Z2m83KDTXpDkqT4kmI0kKrJCmB+nF9Sd9qtGCwZtD11zHiv5ZsbqZi0wYvh7hnjOGmYRqLFLEREZQmTdaRLk6Mp9E5kae1eGz07devKZDjnJasYxanrfF6LyciQHWZBrnxsaTFRAOQExdDXGQEXcX23pOmJ5up+63tBovaOXRCTYaDvPhY0mP1OEoS42lJdPpMcpwpzMoNB7OdJEVF8q1V+izhm3XVOCOmp4rEqWugoX2yK9n4uI4CnbDMvjBbucCzasH4uG6JHCraYHLySsXuanjpHV372V+1hL53+0he7lbxpTiBwRr/+6E0T0eA7vly6O1HRCg+fq7icDM0trufAOjvL/dJuFZYuUC3yXbv4vivtyA6Es6y0MhFEATBCmERvcEuH5+4XE968HY2Bg4M4FimL5eucLt8XJIYT3uGvczk4IToHQgwjogIReWjiis3eY17fz+xObFUDg95XMJOi4kiOTqKrqKoabt0W75UuzWPPOd7mXKobgjnkJP6XEiIjKA0KYHsuFgKE+PoyA18+Tg3U/lcDnedAARwFZMTFCtLtcPq7m4ahkFfZT9tZdE4DVwnIglRkeTExdBZ4FubNhgDBwdwDjgZCeDKnrTCv2PUf2CAqKRIDjiHWZ6a7LrfvKQ/mG39hGjw8BAR8RHg1ILJKua+q011siQlkaiIyY9RUWIcvQ4Hg0nKsrPYv29C9AZxnF+/V/HlSz3v66vUlQoORU9GG0C/b4UJ8XTmKVvue/0jjdT9tiH0gl70V/YTERvBwUjPcRQnxdMYPeZ3kuNM0LdfR6IOxo6yIi2ZTyws4NaVCxl1Ggwu9r0iMhXWL9HZ/8279O09h3WJRNONd8cx5GCoMXDMZc1CfTXDbEzz5l5d0eGCk62N5cTlYBjwu2cDT2Lr29tH8vLJz0l8STyDtYH3w9Ji/9U5/HHcUl3CztwXoCfhTcX1XrVAt5N376z51OvG/2/vvcPbOs+7/8/B3gBJcFNcGpSoLUHTkrzt2M5w4uykTdORpG3Svm/7a9MMd6Vv075J386kzWzSpmlGM5plO16Rt2za2hySuDcBggQO9jq/Pw4AkiJAApJMpcrzuS5ftkmCenTOA5zvc9/f+76503NlHSkEAoGgEGsieouJTYAPv1NtKbUYJa0QuhhmfP1CujRHiy3rmVzhYbLsz+9X//yVRIXdsjyFLfeGsHfa6A6ElomKFqsJX51UtJCtEBf++lLRSJrZqPpYo/HlBSlyn9q54ZI5yRanfUnEeaZSKethvhD1Ln4tPv7LEv/rLUvXEJ9OkAqkGK4Dm07LOstCa6oWqxlvtVTWASDX17XYOtbVSpz+ssTtl01Pk/MWi6X3pDWX0t9iLHkdkeEIlQcrkPRS0SxAIeSeEPpKPRdSSw9DsGAtmO8o3fqSE2srrcFoWF6EJ/eoRWw98tJroa7DxHQFS0Z2r7qOHpnwxXDZUdlQXwjrRis9wVA+A6CuwcxYOrFiQV0hAqcCBX3ZJa1jvYUeOZw/KLfZslmZa2T10OvUYs+nT6vX6ES3mhUp1K7swl9e5Mkdx3m882d0vesV5rvml3x/Wzu86074pb9QmJpV+MGz6mjl1vrSRF6VUy2ukyMLg0MWo6QVQn3hpZHeZjPR4dIPeCthMkrs37xwLRRF4cWewlFvRVFIBorbfdrq1U4pD59Q/z+eUHj4BLzhiBC8AoHg2rE2kd6LxR/mezokXndZOi88GCETyzBSq6Ztc+lSUB+kE7oUmViGhHf16FFKThGfTmDdYF1xHQXX3ROCrRbGIzE6XcvFzYxLKSviPP6NCaZ+NF30+4ezxSPLJrH1hrC0WugOhdm6aB2tNjMTlnRZo14jeR9r8Wvx1tukZdXbco/qyx60p+h02pYcEFqsZqbsmZJFRUpO5X23Kwm97esLeGl7Qpi3Wrkoh5fck3xKv11X8kEkMhTBusGKtd1CeIUD0eWEssVSvcEQWxxLOwXUm43oJIn59fqS1pGcTxKfilN1tHLFQ1nBdfSEsGyx0hcMFxC9ZqYs6ZKtBfGZuNrzOZIuu/hN7g1h7rDQU+AgEkqnCVcWLnIsREpO8dxdJ1Z8nxQj1BfGutnKuYCcF70ugx6nXsdsi+6aRHpBtTg8c1b97xd7lKwlaLk4m385QN0batnwe+2ELoQZ+felUXRJkviX35eodMDb/0zhv5+B199U3lrynxkFitgiQxHSkTT2rQsHEUurhchwtOSAwWoc3bkQ6b04pg4NKRTp9T7m49H2J3h86894+ZdOLru/Go3EH/+KxB9/WeFEt9rBIhyD15YY9RYIBIJSWBPRG59OkJwvragHVB+apJe4ZEgue5i3Ws2MpbPtmEoQWblipdp7qleMbl6OoijIPSGmOlTBvbhYCbIFS+Y0sYk4mdTqgjPhTxAdiRLqK76GW3dLWM1qF4nFhPrU9ljdAZltzqWRtHFtCpTirdMuJzIYUSObK6yjEHJPCFOTid5oZLnAspmZNKRIBVMkg6vf51zk3dhiKOuegLo3ZjuNJDPKsuh7s9WMr75wO7tCRAajWNosWDdayxKcck8IXaeFwdDySK9Oo6HRYsLfpC1J6OX8vHWvryU6FC3qLS62jtA2M+FUetk6mq1mJrSpkq0FcvfC4UMuYn1ZaR3BbSai6cwSK1KLLRd9N5RsOZF7ZJS0smQ9Ja+jN0Riq5nZeHJJxLnVZsZbW14mYiWO7pDoHoLZgFK0iE3JKATPydTcWU3rb7RQc4c77yFfjM2ittPr6lNFY6l+3hzHdqqfGbm+v4uRu9UMgm3DwsHM0mImE8sQn742dpOjO9TJcv6gwolutY3atgJrmXtxHst6C+2/00bcm6DvExeX/cz/93a47xC8+UGFL/9E4WBn6UOGBAKBoBTWrGVZuelj6wYrPfLyCFaz1Uw0k0GuLM0zGRmIoDFIuG9xk5gpXXzHJmKk5BSj9VBl1FNjMiz5fovVzIQmiZJWiE+v3i0gNwAhNh4r2jrpdTdB/38uH2oh94ZIbrMwHUssifS22dR+rBmp9PRxeCBC1ZFKEt4EibnSH3xqQYw9ayuwL/leq9XCmJIt3ipB3IQuhtFatNgO2cqKvifnk2rnhmYJs1ZDm9Wy5PstVrNq9yjhMJSOZ4hNxLC0mLFttJUV6ZX7Qng3G1BgmdjMrcNXVZqfNtQbwlClp/JQJUpaKdlbnI6lCQ+EGW/ToJUkNl0WcW6xmZlIJ8hIpfnf5R4ZU5MJc7O5rINIOpImMhBhvF2DTpLYYF9YR63JiFGjwd9eekFd8JyaUSjmOS9GrnPDaLaDxJYlEWcLU87MNesXfLBTHabw8AnoHiqczo8MR0mH0zi2q+8VS6uFyGDha7ClVeKrH5F4zYHl3UpW4913wekvSwWnHQa7ZWybrGgMiwZ1tGR7exfo4HAlHN6meu+fPauODvd0FO5RHjwnU7HfRdv7W2j7QAvRkciyDjKSJPGVj0iYDPDtJ4W1QSAQXHvWRPTqnLqyHqShnhDWTiu9weVexVzbsMDm0qJH4UthLG2W/PjeUiN6ck8IJBiwJJel80EVNtOpJEldaRHnwMkgepfaYT1cROhJ0vIpWZlUhlBviIlNOX/z0od5SlEINJcW3VTSCtHhCDV3VwMr+3ovJ9QTIrXVzMxlwhtU/2gwnSZsKU18hy+GsW6wYGo3lrUGOVvwNeBK0+GwotUsvydT1gzRsdXTt9GRKChwojJOaKOB0MVwSSnfxGyCxEyCsSbV29y0yNuco9lqYtqZIdy/+u+Ue0PYttiwtJnL8haHL4YhA8NVmfwY5MW0Ws2kFIW5Gqmk/RnMFjzZNlnLEpxyXwgUGK5Ui/oM2oWPFE02+l7OhLpce8NyMxHhfrVzw3C1QpvNjF2/MM2g1WZmwpRWxzJH0iv8ltKwWSR2b4S/+y8FRYF9BYrYgmeDSHoJ26ZswWe7hdhEjHSs8J//wC0SD31KU/bQEK1WYn1jkZ7F2YPqx0718Yev9PKfQxOMGJNordqiHRzKxWGV2LUBnj5TPOoNEDwTxLHdAYClzUImoRCbWL4nnDaJ7/yFxM4N8JZbr8kSBQKBIM+aiF7bJlt54qZbRt6qpm0XpykBqo0GLFoNc+36kiJY4YEI1nYrxloDOoeuZFER6glhaTXTGw4vszaAKrAUUB/oJXgFA6cCuG93o7PrynqgR/ojZOKqv3mdxYTTsNjfrAqu+S3Gkg4AsYkYmYRCxf4K9C7digWGi1HSaueGyU3Lo2gALdliobkSi4VCl9TRuaZ2I4mZ0iPOcreModrAhUSULZdFmyHn906SiWZIzK4c0c+lmv9gop/vVsqkw+mifZyXrCFrRxi0q5aCQl7OZquZKXOG5HxqVXER6lGHjmh0GtVbXOI9kXtCaK1aLhHPj0FeTL5X72YDkRL2p9wdwtFpw7bJWvIacq/T2XX0KbEl1oYcrTYzM+7SMxHyORlLm5nIYPE2cgVfd15GY9JwURtn67JMhJnRfCbiWlkc1P647Q1Q7SrQKuycjK3Dlo+yWlotqg1phc4J1xq5O4TSaeafL4zwvHeOD7/Sy4GHn2duu5HINSpmA/VaPNoFpy8VjnrHvXHiU3Gcuah3m7o3w0WyGjvWS5z6sob2BhHpFQgE15Y1Er3WksVmOpomPKimS7WSxEb70gd63rtZYq/e8ECEoW1a7nniJaybSi9YkntC2Dbb6AmGCqawc/1pQztMyEWGbywmcDqIc5cTW0fp1wLUFKXGqOGCLr4swuow6Kk06PGXWKST69xgabNkDyKlrSMyFCETzTBcBw2L+sHmqDcZ0Wsk5jeUeBC5GMa20YpxvSraSz0QyT0h7FvUzg2FBFaL1cxEKkG6hJ6skaEIqRYD3kSSAX0yv67VUNvY5YT38jXk1jGejiMZNQROBVb+O/WFmN1i4NDDz6HZbCkrE2HrsNFdIBsC4MwWcAU2G1fdn5lUhlBfCPtWO7YOdV+UWugk98jYt9iWFbHlaLWambSmiY2uHn1XMqqPvuFN9ShpJe/9LoXgeRn7Zhvng6Fl75NWm5m5dIqICSLXSPQe2a4KskKtynLrcWxb1Cqs2QwShAv4el8NUuEUkcEIoxvVg+oPbvFw8Q23oJUkpjfrV2xbVi5Hd6iTNVPpwpHenGXFnr0eeoceQ5W+rDaBAoFAcC1YE9E70qktWdiELiykbTfYLRi1y5eYa5EllyDawv1hzq3L8OJsgMh2SxkCSya6zcx8IrWscwOo/WlrTAYCW43Mv7KysIl748TGYrh2ObB12JDLiPTK3SFsHVa6g+FlESxQH+i++hL9zYMR9NV6vumbxrjZUnLEWe4JIWnVkdCXR94BtBqJZosZf7N2VdGmpBXCAxFeak/zybmZsiLOco+MtNXCWIFuGqBeizQQWKfNj18tRmQoytx2IwAXImGMdcaS/MU5sdkTCBXMAMBCz2DFYyVwMlj0d8V9CRLeBOeaMvQFw0xt1ZcuentDGDutXJIjyzzWOVqsZubb9avuz8iA2i0lZ29IzqdIlNhXV+4OodmmFvV1FtgbzdluK6lQelU/fWQwQjqcpva+WjRGTXk2i24Z41YbFwu8Txbalumvma/3SHa0d7GhFMGzct7PC6A1ajA1msq2FaTCqZI7sywm1KvaTvrdaZqtJiqMeoxaDc1WE951mmsacc5diwY3NNUUjnqbW8zoHQuHZUubRYhegUCw5qyJ6O1uyBAdiZbkp5O7ZbRWLReUWMHIEahFOtMuhUh/ZMUHaXI+SdKfZMShPjQmN2hLim7m+ltOblCjJJtXEDf+Zh2BU8GiY30hW8QmgWO7KnrLfZibt9rou6wHao5Wq5kpl1Ja1HswwtwuE7/T1U13p6bkSK/cI2PdYKE3tLywMEez1Yx/nZb5VwIrRvSiY1EysQzPOKL80BvAUmIWIN9NY4v64Cy0jlz0PbzfurrQG4rgXa/6PodCUXSbS8sChPpCpLaZmYzG2VZAeKvryEaw91oInCy+jlDWKtFvU/fw+Dqp5D65crfM7FYDaUUpaG9Q12HGW62K2pXeJ3JPCI1B4l+S03xKUUdDl7M3ZjrVor6CkV6bmclMgpRGFT8rETyvdm2xb7GpHTXKORyeD+HbbiClKMvuS0O2jdzcBv01a1tWU6FOO3znncu/l/AniI3HcGxd+n61tlnyg3JK5eR7T3Pxry+VvT65J4TOqaMnE2OHy5H/epvNwlQV18zTC2qHhU3r4ECxqPe5pVFvUO0exewNAoFA8GqxJqJ30K621QpdWv0hJveqKeyeYKhgZBPUCNakVn2Iz68gKnLp0SGtGrUaqc9WVRcpJsm/blD10Q7VZJYVxVy+jpkKhXQ4vWKELnAqiHWDlbhZQr/JTHQ4SipcuIPD5cjnZWa3GUlklCKeSYvaOm08tqoHMjIQwbtRFY2jdWqnhVLWIfeEsHQWT2Gr61APIomZRMEClRy5oRT9UpxYRiGww1RS9D02EScVULtpuI16akzGZT/j0OuoNOgJdhoIrCp6o0zXS1QZ9SiAd5th9Sh1VniPd6j7YVuBQwgsdC0IdhgInC5+IJKzVonuqPrwH3JlSuqTmwymiI3FGFkHVp02H8m8nBarmSmzutdXep/I52Wsm2w8Mu3jcb8fY62hpGxE3Jct6muUcBl0NJiX35NWq5m0AuFtplUPIvK5hW4Dtg5r/lCwGok5dc+NNEvYdNr84SeHTqNGOGdLLPgslfe9XqKmonCnAoCRFol/6B3iyalZ/PGEGt0s094QPCcz//LK160QuUlsp+dkdlQs7NP1NgvjljSxydU/L8rh739H4qO/VCzqHVwS9Qa1sE9EegUCwVqzJqK3LxVDYy4tsih3y+i3WukPRZZ583K0Ws2Mx+MYN5pXFDfhgQgai4aLsQhaSWLImoLMgre1GKEetb9lnzZRVNhA1rspqdXQK60jeCqIc5eDX3v+DH9v9KprKyGqmAwmiY7GGGtRW3S1FxA3rVYzY9nWafK54ql0UMX8VJN6ywesWR/rpdUfPHJ3iMB247I+rItpya5D0kkrPqRDF8MYm4z0htQ/d3JDaZ09Qr2qkLhoThaMeC9ex+w6HfL5EOlo4cONoihEhiNMODPcVF2BTadlok2z6j1JzCRIziUZLlBUuBi1a4GJ2QbtigeiUG8Iy2Yb5+dlnHod/drswI5V1pHLFPQ70mx12vIT+i6nxWpmJBbDst6y4v6Uu0NYt6pe6f5QBP1mK+ES3quh7MCSgQIDS3Lko+/7LKuKt+B5GftWO7/X1U1wi7HkjEiup++gI01nkevRYrXgrZXyhYivJvJ5tf3bZ8bH+OS5fh546hU2/Pdxvt8ZL0vopSNp4tPxfNeSstbQHUK31cIlOcyORe+XdpuFEU1CLaq7hgeA1xyQ8BSYCpeOqvs/1Wnhr8/3852RKS7JYcxtZiJD125IhkAgEJTC2ojeYAjzxtIq0+XuEJOdejIKbC8iblqsZjIKxA7ZVowehfsjxLabCaXSHK2p4GI6isYgrboOuVfGusHKuWCo6BpATWOPRGI4dzlWjKQFTgWw7bLznHeO04kwWqu2pNRt7mE35MqwxWlb1qIL1AjrfCpFslnPfFfxNSgZhchQhPFKNbpzIRVFa1nd7pGOqX1YR1o1GDUaNjoKp9JbrGbGojEs22wrH0QuRojtsCAnU+gkGKlViI6ubn2Ru0OYW8ycC4eWPMQvp9mqRpyVtELwbOFDQHwqTiaaYdSQYqPdyhanjZEqhdhknJRcPPKdux8XzckV9wXAOquZaXNaPRAVKWYL9YUI7TARSqW5f10tvaEwpibTqvdE7pHRV+rpTkRWXEeLzcRULIF5r2NFb3GwW8a33UAsnSGjgG+HobT92R3CWGfkfDRc9HBo1+uoMuoJbF49+h48JxPaaeYrA+O82JomPBApyc8qn5cx1hrpjUeKHohabWamqyRCvaEV7/G1IHhWTeefmgvy4a3tDNx/C3fXuzlbkSQyEl3RCrWYXIeFhC9BfGb1ziI5FEUhcDbI1HbVdrKjYsHe0G43M5lMkNBzzcYRr4TcLUMGflYT5W+6B/ngi+fZ/9Bz/J5lgnQ4XbJ3XCAQCK4FayJ6o+kMwRLS2Im5BPGpOENN6kCI+gLpUliIHsnbTSt6SMMDYXyd6lCJNzTVckGOYNxgKUFUhNBts3JJDq8oKlqtFuYSSfQee9EHemwqTmwyjrfTQCiVpicQwrLJUtLUK/m8jMFtoCe5fArawhrUaxFZ5QCQF3rGFE0WExeCEUwbVx9EEL4YRkkr9FeqUTS9pvCWabGaSWYUUgdsKx4AQpdCTG9WI6SHXTYGLMmSrC+qxcJKd2Dlg0irzcxYOoGpvniBYWQ4igIMpeOst1vY4rQxaFQj31M/Lj7+Vu4LYWow0R0OrxhtBvV6DEdiOHcWFpx5q8QGLTpJ4v51tfjiSZLbV78noZ4Qti3quN2VMhH5KOseS9F7kpJTRIejDLdosOq02HRaxtq0JRb1yVg7rZybl5f4Ri+nxWrG16AhNhkvan1JzieJjcUYalMPdoOOFEpKWTUro64jhG2rlfMBmW0rvE8m9OpeW2l/5lAU1bZ0JQTPBWGHhYFQlF2VDlwGPbsrHYzqkyhJpYzpiVHInnPLmVAXHY2RCqQYbFTHc9ct+hzNZYvmrnEHh2IEz8noK/ScU6LcWlfFyJtu5cHtGziZVPe48PUKBIK1ZG2GU0gSk5v0q4rNUDaSdsmWYrvLXjBdCmDT63Ab9cy16lb0kEb6I0y1aqkzGTjgdhHPZAjsMq0axQr1hJjZqno9V7M3AAS3mwielwt65AKnA6CBXncaCYikM8g7zSWlbuXuELZOK2fmZHZWFBYV9WYTBo1EcLuJ+Zfni/6u3MNlIB3jdU01xDMZ5ktYh9yt9oPtyURXvBa5oSHyNhOBk8V9rOGLYcbXSayzmNhpN9OXjJZkfZF7ZOZ2mIilM2yvWPmeDIcjOHc7i4vewQjheg2hdJr1dgubHTb64hFaf7OFM799ju6P9BS8l3K3jKHTwoXgyoeh3DoGQxGcuxwFi9nk8zLJuSRDDbDJYc3f3+lO/er3pCdEdIfaWWSla9Fsyfbq3agnPlVYcObS/ZecKbY6bXQ6bQxXZUoaHS53hwjuUjMpO1ZYR2t2aIiklYrek9xQiosuNQrbl4mhMUilvU/Oy8R3WPDFi1tfWm1mxmJxjO2mkjyyQ/8yTO/rL5adfs8kMoQuhBnN+r53Ze/reruVoez0xFItDuGhCOZ1ZkxNJuSe1dsi5gieCSLpJC6YE8v2abPVjFaS8HcYyhK9cW/pkeYla8lGvU/6g+yucKDXaNhf5cSfTBKr0Qpfr0AgWFPWRPRusFsYrVcI90fIJIunK4PdIQw1Brpj4RUjR6B69KZcCpK+sIdUUdQ/b9ytsMlhY73dgl4j4fOYmfzBFBc+eZFMavla0vEM4f4Iw80SlQZ9weKcHI0WI1pJYq5Nj5JUCvZDnX8pgG2TjZdDMkdqKtBJEuObSvOxyt0yiZ1WvPHlD68cWk126lWLlshglMRs4XRhZDBCtFHHXDLFaxqqMWgkJjau3kpO7pGxdlg5Oy+vKGxc2b6ws626oj7WZDBJfDrBSNauscFiYiAUwdBhIdRbfB25bhoj7RrMWg0bbIUtFpCNKsaT6PcWj75HhiL4t6sdFtbbLGxxWpmIxmn84/Xs+eouxr45wQv3nVi2V+demGfuoKVgh4DL2VFhZygcJbPLSvCcvOx3jX97EutGKxcNqm/cld1r01sNzL0wz9nfO1/U8iH3hhjZpEMjUbRtGoBZp6XWZMBXI6mCs4D4DrwSwFClpzsRZmeFg06njX6juodWOogoGQW5N8Toeg0GjURHEdsLqPdkNB7DvrV4NkI+J2OsM3I2FqbCoKc3GMK00bKq6M319h3NXo9iB7M2m3rfEocdzHfNr/g7E/4EF/9vPylvqqRR0osJ9YVQkgqXskWwuZ7WG+0W4pkMwfX6kovZIoMRLK1m7J32siK9wbNBbB1WzgZDyw7Leo2GFqsJb7O25LZloYthnth6/Ir80MFzMrqdVi7IYXZXqmvJjar27zQK0SsQCNaUNRG9nU4bg3Y1Xdn7x31Fq4ZDPSEsW7Ip7BUEFqjTyEbjcRxbC4ubxEyClJxi2Jxik8OKXqNhk92Kd6+RHX+/jcF/HubE615almqUz6pRygFXesVoM6hV4e02C5f0cQxuw7IHuqIoTHx3ktp7a+jyBzhcXcEmh5WROtVfW6zQKvdauTvEyCYtGolVi7emXIBE0ShWeCCCf4cq4Dc7bHQ4bIw2qB0dxr81UfR3yz0hErvUKFop0c1pewadTVtwHTkv9YAuwWaHjY1WIxkF5NvsDH52iKEvDBeMrIUH1G4aA5VpOp32gt7mxWsANeIcGYyS8C8/BMi9IXzrdVQY9FQaDfkhE73BMHWvreXwwwcInAwy9+J8/jWxyRjhS2Emt+qx63XLOgRczp5KJxoJLrVBJp5ZUoykpBUm/muSxrc2cD4g54sDtzjVe+L5xh6mfzzDs7c/v0xoREejJLwJhusUNtqtmHVLxw9fTofDRk8kjL3TVtBmMfG9Kdz3VHNmXrWNdDrt9EYi6Jy6fBeCQkRHoqTDaQbc6gGmmO0F1BaDQ6Eozj3OogeR4HkZ+zYbp+aCvKW5TrVE7TKvKrQiQxHSkTT9NWk22a1YilyPfFZmp3HVtnqXPt2P1qIFLSteg0IEzsjobFrOK9F8lBcWbAWz20oXepGhCJY2C/YttnwkvBSCZ2VM2+30Bgt/jrbZLEzXUvJUNu/jXpS0sqon+3KUtILcLTOerdHIXY8akwG7Xod3o17YGwQCwZqyRqLXzsVUjN1f3snYNyd47q4XCkZwAmeC+Heb1RT2KgJrvd1KbyCEc0/hNPbUT2bQ2bQMEmdTNrKwxWmjJxCm6Z2N3PTEIRL+JH1/fmHJ63xP+zGvM9GTjq4qvAH2u52c8AVw7l6exp47MU90OIr1TTVcCIbxVDnZ6rTRb0mqXSRWmDgVG4uRklMM1mbYaLdiXUHctNksjCRj2DpsRS0OkcEIvg1qNNZt1GfT2ArtH2rl9G+d5dT7z5AMLk1nK4pC8KzM2GYdEisLb4B2u4ULchjn7sLiZvoRL6ZmExdiETY7rTQa9Vh1WiLvqGLjh9fT8/E+Xn7XyWVp9cDJABqzhl4ptmK0GWCd1YRZq2GkScm/djHJYArvYz7824yst6tCpNpooNKgpyeg7knbJhu2LTa8j/vyr5t91o/GqGGgcuWOCTkceh1bHDbO6GLonLolxWyzT/uJT8Wx3l/NSDiW32e5/VlzZzVHjh9G59Bx/g+7l/ze2af9aK1aLpqTKxb05dhX5eTEbEC9J5ddi3B/mPmX5lEecCMnU+yosNPpsjETT2B8nZuej/cVPYjI3erAkl5tfNX3aqvVgj+RRLvHTuBkYJn1RVEU5l+aJ7zbwnwixQMtdeg1EhMdq4/sls+rnVZ6tfGiFiBQC+rcRj3+Nj2JmUTRvtbhwQjDXx5l00c3Ymw1qv7cMgieDuDY6eDUfHCJ6LXpddSbjXjbtCULvchQFNpMGLeoEe9SC+CCZ4J4dxlIZhR2FsiYrbdZmLBliAyW1j3B98Ss+nvLvBbhAXXYyKV6hQazkdps1kySJDbaLUw1SCLSKxAI1pS1Eb0uG/2hCK77qjn61GF0dh3Pv/bFJZXZyWCSwKkAkzsMWLQa1hfpPZrDU+WkLxhGs8dWcDjE+DfGsT1Qw3Q8wUaH+rtUUZEVNhustPz6OrxP+Ja81v+MH9fRSrrn5VUf5gD7q1x0+QPYCoje8W9O4NzjpK9CFXGeSidbXXb6EqqPdfybE0UfZMHzsuoF1q38MIesjzUUxbXXWTTSGxmMMNEgsdFhRZIk9VoEQ3Q8uIkD39+H/1k/Xe88ueQ14UsR4tNxRto0bFhFeAPsrXTy0mwAx57l3SyUjML4tybQvquGcCrNZocqHDc7bPTIYdb/bjuHHjrA/MkAA58ZWvJa31OzVBxwcXaVIjZQ07d7Kp28HA5h3Whl/rLo5tQPppA0ElN1Ehuyeyx3PXoDCwex6tvd+J5YEL3+Z+eo2Oeie5XixsXsq3LS5Q/g3OXE9+RsXmCMf3uCikMVav9qYFu2H3Wn00ZvMERGUTDVGWn/UBtzL8wvOYzMPu2n8lAF54IrF7HlOOB20RsIIe22Mn9yaYRz/FsTmJvNjLRK6DXqvcgXTP5RU/4g0vWOV5Z1PJjrmse62cK5YGhVK1Lud450aEmFlltfgmdkQhfCTB4xY9BI7HA56HBYGalThflK/WSD3TLWjVbOBFa238CCJUpj1BQ9HPZ94gK2TVaa3t6AeZOp/Ejv6SDKXhsj4Vg+nZ9jg93CVF1pgyEyKXWgz0fqZ/hCVYBMLFOSWI77EsQm4wy3aHDqdflBKYtpt1sYNaRIyalV2/SlY2lmn/NjqDGUfy1OqYfVbl2MPZXOJd/bYLcyXqEI0SsQCNaUNbM3ZBS4IIcxN5nZ/YUdJP1J/C/M5X/G/7z634N1Gba6Vk5hA+yvUj9E+zdIqod0kf8wdDHMfFeA6OtcgFoolFvHQChCNKXaCqrvqCbpT+bFajqewX9ijtBRG5F0pmRRISdT+HYaCV0Ikwyq4iAdSzP5/Ska39ZA12yATQ4rToMaYR0MR2n7ZAfDXxrlxP0vFeyXGTwnY223ckZeuUUXQJvNzGgkhsljV1O3l030ik/H1VZwVQobs9HNTqeNoXCUUDJF1ZFKdvzTduaenyM2tVCwMvv0LPoKPReMcbav4mHNXYvJaJzILgvyeXmJfWP2GT+xsRjB2+1ILL0n3Vmx6drjpPHN9Xgf8+ZfpygKs0/7Sd3sZC6xusUit44TvnlcBSLO49+coO61tQzEovlIL5A/BOSovtVN8KxMfDqeX3/F0QrOzstF+0dfzn63i5dnA6x7fzNTP5pm4B+HSEfSTP1wmsa31nNuXqbOZMBtMuTXEE6lGQ2rUciqY1Ugge9nswvX4hk/hmPOJRHildhX5UQBBjdpSAVShPtVkaEeQiZpfEs9Z+ZltjhsGLSavLc4dxA5/MgB5l6YX2aBmX1qFm6tUP3mq6zDbTKwwW7hrClWsKf12H+OY++0ccGepNNpw6jVsNVpZ8CZQmPQ8MJ9J4r2LpbPy6R3qZ7s1Q6HbTYzQ9Eojh2Ogu39gt0yU/89zeY/7UDSSpg7TAV9+sXIpDIEz8mMbVWL2HZUXC56rYw7MkQGI6tGWGPjMZSUwgUpxiklgqSTVh2tDeTb9F1yJNlRUdie1W6zMJVKkK7ULrHwFGLuxDyZaIbWX2smeE4uq7AvcCqIc7uD0/Pykqg3qNHmUUNSHXk9J9qWCQSCtWFNRO86iwmbTpsXN6Z6E47t9qXp46f8OHc6OB8tLZLmNOjZ7LRx2hhTPaSLHqTj35zA3GJmskWLXa+jLju9a4vThgL0BdUHqLXNgmW9hZnsOgIvqx/w4x1atSetfeVoM6jRmwqDnguNCjqbmo5WMgozj3hJR9M0vLGOl2YD7MuK9JxgCt7r4KYnDpGSUzx97DmiY0uFr/8ZP5qjDsYjq6f091Q6SSsKI5t1S4RN/np8awK9S8eIOZUvIulc5GMFqDhUgdaqXXZPqo5Ucm4+tOwBXogdLjsmrYa+ZgUlpSyJDI1/Y4KKgy4GzSlarOa897JzUfQd1INI8IycF9+RoSixsRiTu/RopMKjbi/ngNtJdyCEZo+V+ZcXDgGR4Qj+5+aoe2s9Q6EI6+0LxVdbHNYl66g46EJr0eJ90kd0PEZkIELioI1AMlXSYQhUwRlJZ/DtN7H9/22l788ucPq3zqIkM9S/vo5z8/ISy8gmuxWNRF586x06Kg668vckMhAhNhFjare6n7cVmVi4GKdBz2aHlbOWBKZGE+f/oJt0PKNab0aiNLy1gTOXFSmqBxH13jl3Oam+w71kXyQDSQKng0zuM6q2lxLuyf4qFyf8AVy7l2YjMokME9+ZpPHtjUvEUafTRm88wpHjh9HoNTxz63OM/sfYkt+pKArzXQHGd6jFYqvdl06njdNzQVyewhmRsa+NYdtsw31rFQCmDtUXnjvIrkaoL0wmluFSrXq4dFw2yXG9zcKwNqn2p/WuLPQig1HCZvClU5wLyJg3WkoaUhE8E8TSauZMqHgxcM5fHDlmXxJ4KITvSR/2rTaq73CTCpRX2Bc4HUTao2b5lkW9HRZG0rluFq9+6zSBQCCANRK9ufRx9/zS9LH30YWI3uzTs1Qeq+RsibYCgANVTl6cDVBxqIKhz4+QDCbzafTGtzVwUQ6zyW7NRzuasuJ7cUSv5nY33sfUB/rsM36s6y30SXE6nTZ0KxTn5NBIEvuqnLwckfF8fTdTP5ym52O9jH1jgpo7q9FV6nl5NoAnm96rMxmpNOg5Px/CvtnG4Z8eRGPQMPWjhf6w6UiauRNzTB9Si29Wux51ZiNtNjNnrHG0Vu2S6nRFURj7+jg1b6lnKBxlQ1bI15uNuAy6vLjRGjW4j1Xlo6xKZiGqOBSOlnRPDFoNeyodvJIOY15nYuhzwygZhVQoxdSPpml6eyO9gRCbnYvEptPGZDTOXFxN4VccXCq+Z5+eRefQ0V+RLqlwC2BflQsFGNljICWn6HmwD0VRGP/mBKYGE9G9FhIZJX8tADY7bfjiSbwxVYxoTVoqj1TifcKnHkDMGkbWSat2TFhMu81ClVHPi74A636piU0f3cDUD6epvqsavUvdA4uvq1mnpd1muex9Uo3vcV8+yqtz6hiszFBvNuYjxKux3+3iJX+Afd/aS/CszOkPnGHs6+O4PE6s6y2cmVvaZ7fTac8fUAGq73Dje2o2H7n3PzuHJEkMNaqHPluRMd2LOeB28aJvHtseB3MvzuUjhjM/9ZIKpGh4oI7Tc8F8tHaby85IOEa6Uc/BH+2n9debOff73UtsFqG+MPHpOKMbNWwoIDIv56DbxUg4RmyPheCZ4BJ7VSaRYfzbkzS9szH/eWHuUK0BpbYLC5wKqkVsUnRZZBNgo8PCRFodDLFaB4fIUITZTaqYD6XShDyWEiO9MuYdds7Ny8uEZo5mqwmdJBHcY1410uv72SzVt7mxbbYhaSWCZ0u7FkpaIXgmyNh29Z5cvpaNditxRWG2QSMsDgKBYM1YE9ELS9PYANV3VhPqCxMdjRL3xpHPh4gftjOfSK0a2cxxwO3iZX+Ajk9tIRVI0vXOk8w86iU2HqMpJ3odC8JGI0lsXhZZdBM4GSDuS6h+yaOq8C41mgfZKNbsPJWHK9n9xZ0Mf2kU70+9NL5VXUMgmWKf2wWoB4CtroVroTFoqL7DzcwjCwcA/4k5MgmF4VaJNpu56LjbxRx0u3hhdl6dDrcoihV4OUDoQpj0A1WkFLXiP7eO5ffEje/JWTJJNU2bnEsytUuNKpZ+EFGtBTs/u53ph2bo/kgvUz+cRkkr1L2hlt5gaIlozEVucweRvPh+XL0es0/7qTxckfWOlrYGl0FPh8PKaWNMvR9fGOHS3www/s0JGt5ST39Efci2LfKNdzptGDQSHz7Ziz+uCt/q26rwPTmreor3V3A+FGZDicIb1Gu8r8rJS7PzAKz/vXa2fmoLmz6ykXg6Q08wtKw4cJnN4nY3sUl1FO3s036qDldyNlj6wRDU/fmyP4B5k4V939iD93EfY18fp/GtDUzF4njjiaWRXpfqb85khWn17W4ysQz+5/yA6rF27nFyPlK6v/mg20UolSb4GgfhS+GFg8g3JnDf7mbKlmE+kWJXVhzlMiLdwTCSVmL977WDsmD1APAdn8XgNtBrSJS0N3ZXOjFqNFzIdtRYnImYfniGVDBF41vqARgLR/lBSm2hKJfoZQ2cCuDY5eDUXDD/91jM+myrPW+7dtWobWQowuxmPRat2hJubLOu5EjvzG4j8UyGPUVEr06jocVqxtuuJdIfKdqDNz4TJ3hWxn2LG61Ji3WjteRittDFMOlwmv4GlrRuy5GLNvvL6GYhEAgEV8uait6ewMLDw+VxonPqmHnMh//ZOTQGidF2DdpsVLgUDrhdRNMZ+q1J9n/HQ7g/zMn3nqbiUAWWVnWIwCb70v6hWxw2npiazUf0Kg9XojFqmHlohrmX5nEfreJcGdFmUDs4DIaizMTi1N5Tw45/3IbL46T6rmq6ZgPYdFo6Fq2j02nn/PzCtai5qxr/83P5KNbs8Vkc2+2cT0RWLRJafC1enA3g2Odk+qGZ/CCC0f8cx7HTwVQtaKTLhZ592QEgJaeYf2me2af9mOqNXLQmy4oqHnC76A6E0Hns7PnXXYx8ZZTuj/ZSe28NWruOC8EwmxfdX7fJQI3JsDS6eceC+J592k/VsSrOzMkleViXXA9fgNp7a9j+D1u5+MlLRIaiNL2tgX45QoPZuKQwz2nQ8+1je3jFH+CmR57nkQkv1be7SfqTTH5viqojlbziD7CzjH0BquB8aVY9hEiSRMuvNmPfbOMnEzOkFYVjNZVLfn6Lw8bz3jmGQqoQsHfaMNUb8T7qZfYZP1VHy8uGgLo/1WmAYVweF3u+ugvnHif1b6zjzJy8rDPHVqfqaR8KqWlnY7UR524nM49mo+9PzeLOZmVKsb2AGhGuMurprkqx64s7Gf78CD0f72PmUS9N72jg1JyMQSPlD0Q1JiPVRgPd2feJ3qGn8lAFMz9dlB06PkvVzZVZe8bq6zBqNeyudPByJoyhxoD/WX/+e2NfH6fmzmqMNUYUReFDXd38ef8khh22kgu4gqeDpPbamIjG2V1gPc1WE3qNhHzIytwL8yv+rvBghJkWLRuyY7IH6xUiAxFS4eJWi1QoRXggwmC72mO8ZYW2eu32bJ9zrVQ02us7PovGpMHosfOHr/Si22ktOdIbOBVAa9VyXhMteC0sOi1NFhO+Dl1Z7dgEAoHgalhT0TsVS+TFnkanofo2N97HvPiemsW1z8W5SJhNDismbWmRtBarmVqTgRO+ANb1VvZ/ey86m5aW964jlk4zFI7mC6ZyvH9TM9F0msOPPMf3RqfQmDRUHank4qf7UZIKCY+FmViCbWUIrD2VTrSSlBc3jW9r4PAjB9EaNfxk3MtN1RVLCvO2Om2cD4TyKV73rVVLoli+p3JCL8jOEtdxyF1BMJki8Z5qDFV6Trypi+hYlMnvTtH0jgYuyhFarGaM2oVb3um0cW4+RCChWgvMjWbsnTZmHvUx+9QsVUerVGFThsDKWQte8geouauanZ/dTiqUYt27mxgJR4mkM2y+zB7Q6bTxndGp/EGk+g43qWCK0X8fI+FNoDvsYDQSK0vo5bIAqUyGprc3su1vOml6VyO2Dhv9cmRJEVuOozWVPH3XIe6sd/OuZ08xX6fF0momE89gv8nJs945jtVWFvjTVroeqj1kJrY0mvZvA+Pc01BN9WWHiV9qb6TGZODII8/zhYsjKID7djfDXxol4U1guclFXzBcViZifc5mkY04V9/q5qZHD2KoNPDwhJedFfYlB4CNdis6SVqSBai5U7UjxabihPrC6I84GS7R9gKq4N9f5eIF3zx199Wy4x+3MfQvw+hsWmruruGUP8hWpx3D4v3pUt8n+TXcXc3Mo16UjKIeiJ7xY7jZxXA4Wsb7RF3Dunc2cuGTl/AdnyU2GcP7uI+mdzUC8N9jMzw17ScDTO8xliR6M8kMwfMyI53aokMydBoNrVYLs50G/M/7C/yWBSJDUSarYb3dwnaXnYvmhDque4UWbsHzMijQY0+yu9KxYo/xNpuZwVgMx3Y7cyfmC/6M74lZKg9X8OT8HF+8NMqlnaUL1ODpII4dDk7NywWj3qAehLztOvzPz5U9+U4gEAiuhDUTvXurnBxyu7j9sRP8bc8gqUyG6jvczD7lx/eEj6qjlZyZC5YlsCRJYn+2Uh/Asc3Bbd230PBAPS/45skoy9PynU4bT911iDc31/Prz5/lH/uGqb7NTWwshm2LjedTISxaTcHoRDEsOi07XHZezK4jx0QkxiOTXn6pvXHJ17e6bASTKcYjajRW79BTeVCNYiX8CYJnghiPOhkIRcuOpL2cCLP/Ox5Q4JlbnicTS9Pw5nouyuF8EVuOO+qqMGk1HM5GNkFNZU8/NIP/+TmqjqlRtHIirBVG1VqQuycND9RzZ/9tuG+u4jnvvFog6FgqOB/cvoGZWJxDDz/Hd0YmMTWasG2xcfH/9mNwG7hUrXpJyxK9VS7CqXReNDX/yjp2/MM2MorCo5M+9l7WQimHXa/jb/ZuwaHX8ciEF/dtbrRWLReaVW/lrbVVJa8B1JT64gMRwFAowvFpP7/c3rTs5xstJn56+35+v7OdB09f4KMn+1SLw3gMg9vAucokyYzC4eqKkteQE5yX7085meI7I1P8UtvS/WnQatjqsvGp7oF8pLX6jmoiQ1FG/nUEjUnD6HpVJJdqRYKFrhqgHgx3fm47W/5iM1qjRo2iX/a7thXIiCS8CQInA8y/HCAdTjOxSz00lJoROVitZiJq/6CVhgfqefndJ+n5eB+GKgPVd7gJJVN87FQf713fRI1Bx2CbhNwjr9ojN9QXIhPLcLE2Q4fDVtTnvNFuYapeIjoaK9i1BVQffmQwwphVHZO9s8LBuWgYU7OJ0795Fv+JwsVnwTNBDNUGzkRDy1qEXc56m4WBUISKgxXMFfh9mVQG75M+3Le4eWRCjfD3NypEh6MkAyuPpwbV35zZa2UssrxdWY6N2bZlCW9i1dZpAoFAcC1YM9Fr0mr5wS0e/mzHJv6me4D7j7+M+9Yq0pE00dEYjqMVPOeb52DW+1oqB6pcvDg7n48UaHTqX+kr/WMcq6mkqUCKz6rT8sndHfzO5lb+Y3Cc6jvcALiPVvL41CxHaiqXRERLYZ/bmX+g5/ja4Dg1RgN31buXfL3DYUMjwTPehYdN9d3VzDzmZfYpP5JOYrwj2/aojEjaQbeL571zGKuNHPieB51DR93r6zBUGLgkR5Z1o2iymnnu7kPcUefmHc+c4sFTF6i+s5pw1o+nHFQ9v/urXGVdi5y1IIfeofr5vjowxhvX1S6L5O+udPL0XYd4e2s973vhHF8bnKDmDjcJb4Kqo5X8bNrPNpeNSmNpFgtQI1luo37ZPfnZtJ+hcJR3Xyb0FqPXaLizzs1PJry0f7CVnZ/Zzs+8fjY7rDRYlvc9XQmLTst2l43nFt3rrw1OsM5i4pYiUWOdRsP/3tLGJ3Zu4pvDkziPVSDpJCpvquDxmVl2VtiXRYhXY3+VkxPZSG+O745MoQAPtNQv+/kvH9qBU6/j1sdO8Ffn+rHttGOoNjD42WEqDlTwSjBIk8VEVRn35IDbxVgkxlj2sNf45gaa3tHIaDjKs9457mqoXvLzOe97zltsXW9Vu6086sN3fBbLegu92jjNVhMVxtV97+p1cAHw0lyA7X+3lZrXVOdbC2r0Gj7dPUgik+Fj2zbQaTVxwZUiE82sOEgG1E4FOruO0+lIvlNLIdbbLYzok2gt2nybxstJ+BKkwmmGNQk22K1sd9nxxZO0fX83tg4rL9z3It0f7VkmxOdenMe4z0GfHC7q582xzWVnMhonud9K4HRw2XTImUe8JP1Jau+v5dFJLyathl6zmolZrY1bJpUhcDbI4DY16l2sldwGu4XBTBydU1f0WggEAsG1ZM1EL4BWI/H+Tc384FYPz3nnuWBI4NzlUCdMNauRp9svE4irsT/bG3Y0stBKZzoa5yfjXn5l/fJI2mJe11TDRTnCeDU0vr2B2gfqeHJqltvryovmgfowPTUXJJ5WK8LTGYV/H5zgXW2Ny7pAWHRa3tbSwG+/eJ4/eqUXOZlSo1gzCfr/YZCK/S7ORsM0lOGlBTjoruB5n3oAMDWYOPbsTWz/+63IyRTn5mU6C7S4chr0/P2+Tv5mz2Y+f2kE7W4bOrsOy3oLz2simLQabiojqghLrQU5zs/LvDQb4D1F7olFp+UvdnXw9tZ6vjMyRfUdqgCqyh5Ebq8rb19IkrQkspjjK/1j3FJbSfsq7ehe01jN0zN+Ug0G6l5XyxPTs9x2BfsC4I3r6vjCxVF+Mj5DKpPh64PjvLutcdWpbvc21hBIpngpHqLtN1tY9+4mnriCawHq+2QkHGMyuvA++erAGG9aV1ew60GbzcL3b9nLX+/ezN/1DvLdsWmqb3eTjqRxH1PvSblR710VDowazbJ78m8D4zRYTNx52d/LU+UknErz3ufPMBVV7SE1d1Uz81Mvs8dncd9cpfp5S4zygrrft7psvOCdR9JK7Pzsdjb/6Sbaf6uV4VCUz14Y5k+2b6TCqKfTZuZ8OorGqFk1rR84FcS208bLc8F8p5ZCbLBbuRSK4PQ4igq9yFCUOSdElQzrbRa2utTe1hf0cfZ8dRe7v7iToc+P4Du+UNSnpBV8T84yc6uFjLK8W8Ll7Kl0YtJqON8GSlIhcGppgdrIV0apubuablMcXzzJe9qbOB0OYagzrOrrDV0Ik4lm6KvJsNVpLzrUZoPdylQsjumoC/9zQvQKBIJXnzUVvTl2Vzhot5n50fgM6365iaZ3NvKkT42kNZUZScv1hl38IP2PwQkqDHruvSxydDm7KhzUm408ND7Dzs9sZ7hdgz+RvCJxc6ha9bJ+4uxFFEXhiWkfE5HYMmtDjn/a18mXDu3ge6PT3PTI80SadFjaLQRPB3Efq+KpGX/ZUe+D2QNALpKmNWvRmrR8e3gSCXhtU03R1z7QUo8EPO7z0/CWehrur+PxSR9HqitK7laQI2ctOLeoOO0r/WN0Om35oSLFuK+xhme9c7DbSstvNJO+XU1HX+lB5IRvIQswGY3x0MTqhyEgLyxzRY+n52RuuwKxCfDBjhZ+Y+M63vv8GT566gIz8QTvbGtY9XWNFhO7Kxw8NO5l8592ED9ooy8YvqL9uavCgUOv4+OnLpDKZDjlD3JqTuY964tHvDWSxK+sb+LOejc/Gpuh5k71/WQ4ol7XO+rLW4dRq2FXpWOJzSKZyfC1wXHe0964bCDNBruVH93qoTcQ4uDDz/Gt4Ulq7qomeDrIfFeAqmOVvOCbXzWqeTm5wyGARq+h/UNtGGuNfKl/lCaLKX9vttpMXJDDaLdZV+3gEDgVZH6/FTmZwrPCHt9otxBIptAccS4ppFtMZDDCTIsmew0sWHVqQduZORlJkqi/vw6Xx8XUjxfaHM6/EiA5l2R4i44mi4mabG/yYhi1GvX9EZcxt5iXWBwiQxF8T8zS/N51/HTCx0a7lTc11zITS5DYt3phXzDbuu10ZuWody7zFDpkwf+sX/h6BQLBq851Eb2SJHFvYw0/GffS/J51bP2rLTx2hREsg1bDAbeLz/QNM59IklEU/m1wjHe3NSwpiimERpK4p6GaH2f9rI9PztJqNefb6ZRDvdnElw/t4PMXR/n46Qt8pX+c2+qqaC5SQS1JEvevq+WF1xwmnErzvZFpau5SRYX1aAVPz/iXpXtXY0eFHbNWwwuLRIWiKHypf4y3ttSv2MfUoddxc20VPx6fYdunOtnwkQ08MX1l96TNZqbebOSf+oZIZxRCyRTfHJ7kV9qbViyuAbiltgqDRuJR7yxb/2oLzySC2HTasi0WALfXu5mJJXjw9AUUReE/BidwG/XcU8J1deh1HKmu5KHxGY5Pz2LSajhU5iEkhyRJ/MXOTfzq+nV88dIod9a5aSzxcHdvo7o/FUXhiSkfNp12RSFRDLNOyzeO7ubRSR/vP3GOL/ePssNlL8m7fl9jDY9P+bDfVcWOf9rGyVrV03lzmZFeUA9ET834SWazAD8Z9+KLJ4vaTQ5VV3D8roO8o7WBD710Hu0eNROhKAreXUbGIzHuKDM7dNDt4hV/gFh6IaUfTaX5j8EJ3ru+KR+B77SZUYCZgyYmvjvF3EvzBX9fJplBPi8z0KHBrtctK55dTG4gyvwuM+H+SH7i32LCgxF8m/VUGw35doU7K+ycXeRvrruvhpmHZvKDV7yP+7Cst3CO6KpR3hxHaip4xuun8kAF0w/NkEmq92Tkq2OYW8y4b6ni4Qkvdze42ea0o5UkxnbqS4h6B7DutnNyLrjiAaDBYsKs1eDbYiQ2GSc6vNzjrCjKqn5qgUAgKJXrInpBfZB2B0IMhiJMReOcnZfLjhzl+AdPJ8Fkivt/9jLfGZliNBwrWCRUiHsba3h5NsBUNJ5PYa8mzIpxX2MNXzm8gy9eGi05oliRFWE/Gp+h8S31VBxwcbYxRSyd4bYyRYVeo8FT5eT5Rf7RF3zz9ARC/GoJa7m3oZrHJn3E0xlOzQWZjSev6J5IksTnDmzj4Qkvv/niOb49PElGUXhrS92qr7XotNxe5+Yn49mDyJSPm2srVz3AFKLTaeNfD+/gC5dG+eipC/zbgGor0JcwdARUwfnTSR8/nfRxyF1+xHsxkiTxl7s28Ve7O3hwx8aSX3dPYw3jkRhn52Uen5rlltqqktd/OQfdLr59bA+PTvr42uAE72lvLGmv311fTSKj8DP/HE3vaOTxqVkOuF2rDoMoxFtb6hiPxPj1F86SSGf4Sv8Y9zZWU2cuHpk0abV8bNt6tJLEo7N+qm9349rj5MnQPPVmY0kT4RZz0O0ikVE45V9I6X9/bJpoOs27FkXg3QYdDWYj/tc7sXfaeP6eE5z9/fPLJrQFz8pk4hl6K1PsrXSsaFtxG/W4jXoG6jNIemnZRDRFUZj67yn8ncYlHUa2u+ycnltYb+29NcSnE/lBNN7HvNTc7uakP1i0SPNyjlRXMBiKYvi1OkJ9YU7+6mlSoRRjXx+n+ZebGI/GOB8IcXe9G7NOyxanlcF2ieCZIN0f6Sk6qS5wKojvgIVwKr3iAU0jSbTbLIxXZNBatcw+u9zi4H/Gz/EDTy8ZSiIQCARXynUTvfuqnNSYDPx4fIYnpmax6rQcdJfnHc2xzmrmB7d6CKVSvP/EOW6rq6LFVrxH5WKOVFdg0+v41vAkL83OX1EafTH3Ntbw1cM7eW1jzbICtmK8rqmG531zJDabOfSTAzw+42dvlbMsP2+OYzWVfG90mpN+tZDsS5dGOeR20VlCQdw9jdWEU2mempnlsUkfbTbzklG95XCkppJvH9vDwxNePnyyjwea63GUMGQDVLH5+JSPYDLFz6b9VxRtznFf9n78a/8o45EYv1zEblKIuxuqCSRTfG90mlvrymtVVghJknjfxuaSRinn2OKw0mYz84OxGY5P+6/YV5zjgNvFfx3bwz0N1QUL2ApRYdRzpLqCH4/PoCgKj0/5uOMK19HpsvPdm/dyfNrPA0+9wvEZP+8t4UBm0+u4rbaKH43N0PlXm9n9xZ08OuXjznp32YfUBouJFquZ/xqZyqfUv3RplDeuq1tWLLmrwsG5VIS9X9vNnq/sYvonM/T92YUlPzPzqBdLm5lTyfCKkU1Q98CRmkqe8c/j2uNc5mWdfcpPqC+Mb6NuiejdUWFnNBLLTy60rrdi22xj6sczxH0JAqeCaG9T27eVGundU+nErNVwxp1k//c8zD7r55lbnycZSNL0zkYemfTh1Os4kM1w7K5wctGVZtfndjDx/SmeOvhMfohMjpScIng2yGCHhkqDftWs2XaXnVfmg1QccBVs4zb0+RHMzRZ09vIPWAKBQHA510305q0F414en/JxtKai7I4Ji2mymPjBLR6O1VTyvza3lvw6g1bDnXVVfLp7AG32gXS1vKahmn+7aWfJEbmbayuxaLX8JCsqHp30LSvqKZUPdrRypKaC+4+/wg/Hpvnh+Ay/umFdSa+tMRnZ73bxozHvFRWPXc6h6gq+fWwPbTYL79tY2hpgIbL46e4BgsnUVR9EXtNQzTeO7ubPd25i3QoN+y+nyWJih8tOWlGu2M97tUjZ98nnL44QTKauWvSCWtT2H0d2lRWpva+xhocnvJydl5mIxsu2FCzGU+Xk+zfv5XxApt1mXjagoxiva1JtFqkKHfFaHSd8Ae68wnU8uH0DXx0Y50/PXOQVf4BX/EF+bcNy8b2r0sGprJe27rW1tH+ojakfTpFJLRRpzjzixXaPm55AqCTryc01lTzjncNxaLnQG/7CCO5bqhjOJNiwSDDmivUem/Llv1Z3Xw3TP57G96QPjVHD0EYtEsW7JVyOQathv9vFM945XLudHPj+PpLzSepeX4uxxsgjE17uqHfnC3F3V6rT5urfVMfNLxyh8lAFZz50bon9wPukDyUDvTVpPFXOVQ8kx2ored47h+1wxbIDQGQ4wvTDM7S+r7mkv49AIBCsxnUTvaBGRV/0zfPopO+qBRaoEZzv37KXm8oUrvc01hBKpTlQ5cJ+BSnbq8Wk1XJXvZsfjc9wSY4wFI5e8cPcqNXw5UM7uLOuivc8dwaXXs/rGosXsF3OfY2q1eJlf+CKo3mLOeB2ceKew8vG7a5EhVHPTdUV/MuFETY5rGUJ1WLcUlvFb3e0lP261zfVss5iYssKPs1Xm/uy+3Oj3VLUI/5qc2+jGvX+szOXqDcby4pWF2JXpYMn7zjI14/sXrWLRY7XNFSTzCg8NunjyelZNJIqIK+ENzXX8aVD2/mXiyO885lT7Kl0FOwnu7PCwSU5jJxU0+v1r68lMZvEn03FxyZiBE8HmTxmQYGSrAU311YSTKaY3GdE7g4RHlDboUWGI0w/MkP9rzcxFI6yYdGeqzDqeUdrPe8/cY4PnDjHVDRO7X21RAajDP7zMFU3VXIyJLPRYS3rMHO0upJnZtS/i3OHg5tfOML2v93KdDTO8Rk/9zYu+N93VTjwJ5KMhGPonXo6HtxIfDqxpAhu5hEvlYcreEWWV416565FJJ1heI+O6HCU6PiCr3f4y6NYms35AkqBQCC4Wq6r6D1WU4lVpyWUSl91NO9quLOuCr1Guq5reG1TLU/N+PmvkSlqTIaymv5fjl6j4XMHtvM7Ha08uH1DWX7Y+xprmEsk0UlS2YeHa8m9jdWkFOW63hOAD21u4fE7Dlyxz/tasL/Khduov27RZlAPlHsqHTw5rbb0uxbXo8VmXrHo63KcBj3Haiv50fgMj074OJy1Jl0pr2+q5Ws37SSYTPGBjYWjibsqHCiQLyIzN5lx7XUy9QO1c8LMY150dh0X6tT2YqX0km61WWixmjnZkMa1x8kLr30JuTeUF3nRQzbSisL6y6wBn9m/jW8d3U3X7DwHH34OeYMe8zoTwdNBqm9389iUr+xDwE01FQyHo4yGVbFpqDKgs+r44qVR3EYD9zUsHJi3OG0YNBIns95iS6sFx04Hk9+fAtS2ad5HvRjuqeKSvHLnhhz1ZhMdDisvOxNoLVqGvzCCoiikwupExpZfb0bSXr/3nkAguLG4rqLXqNVwV72bDXYLrVfQMeFa4TDo+cEtHn6tRBvAq8EddVVoJYl/7Bvi9jp3ydGvYmg1En+6cyPvLsPDCmp/1k6njUPVFUX7a64F9zbWoMum9q8neo3mirzV1xKtRuK7N+/lDzrbrus6XpvNGFyNteFqeV1jDY9MeHlsyleyZ34l7qyv5tIbbuHNRfzN1SYDjRYTJxcVvdW9oY6pH0+jpBVmHvHivq2KlwOBkiKbOW6ureTp2Tn2f9ejDpx47YuM/tsYzb/WzEAkioT6XrycO+rdPHP3IUxaDd8dnab2XvWepI7ZecUf5J7G8t4veyodWLSaJYNyoqk0XxkY4zc2rFtyYDZqNWx12pcUANbfX8fkD9VrMf/yPInZJGP7DUioQ2dKvRbHfXNs+3Qng58dpufjfYx/cwIlpdD0zvI+vwQCgWAlrqvoBfjErk185fDO670MDrhdVxU1ulpyhTqxdOaKrQ3Xis/s38ond3Vc1zU0WUyce93Ra+KxvhHY5rKXNZHu1eCB5jpuqq7glitoVXatuLexhkg6jS+evGbvE8sqh7vdFQ4emfASXGxx8CbwPqFOhqu+y03XbPmi98XZeRImCc839lJ5uAIUWPfORi7JYZqt5qI1Diatlvubavne6BTN722m9QMtPKUP49Dryh4ko9doOOCu4MmphUEX3xqeJJpK854CHXB2ZX29OerfUEtiJoH/hTmmH/Zi67ByRhtjs9NWss3i1toqTs4FsL6xmj1f3cXIv47S/dFeGt/WgN5ZWvGrQCAQlMJ1F731ZtNV+wNvFN7YXItJq+HWIuNp14qdFQ42/xzck9Ua7AvWlnVWMz+81XNFrcquFdUmA4fcFbTbzGy4ws4i5fK+jevoC4bZ95Nn+Wr/GIZGE849Tno+1ksmliF8kw1fPFlyqzBQvbSJjMILvnm0Rg17vrKLW145it6l57FJddT0SryxuY7TczJTddD5fzbzkwkvd9W7r6id3Tta6/mvkSk+dX6AjKLwzxdHeEdrQ8HRznsqHbw0O89/Dk2QURQsLRacu1SLw8wjXmrurqHLHyirl/Th6go0SDwzM0ftPTXs+/ZebB022j7QQl8wxK8+fyZ/4BAIBIKr4bqLXsECb1pXx4v33JRvSC8QCJbz5zs38um9W9bszztSU8lL997EO9sa+PDJXj55vp/6N9QS7o9Qsc/FT8Pz1JgMbC+jWNOd/fnj02qEVdJIGCoNnPQHeGrGX9RjnGNflZMmi4nvjkwRTKZ4esbPvWUUrC7mzS31fHb/Vj7VPcAbj7/MhWCY928q/Oc/0FzHL7c38bsvdXPHYyd4xR+g/v46Jr41Qag3hPPuKl6eDZQ1TMau1+GpcvKz7LWouqmSo8cPY11v5R96h7kkh7FfR6uVQCC4cRCi9+cISZLKHsMsEPyisbvSueYWC4dex5/s2MiHt67n64PjVL+uFoDqu6r54dgM9zXWLBujvBo311ZyfHppy7K/7x1if5WTg6vYFDSSxBvX1fKdkWkem/QhwVUVfb69tYGvH9nFK/4gr2lwF42im7RaPrm7g+decwiHXs97njtDzetrSYXSGKr0nGxME01nuLuhPOtJoWsxFonx7eFJfndz23UtJBUIBDcOQvQKBAJBiby5uY6pWIIuY5Sd/7wd7dvcvOwP8Pqm8qOsx2oqOTsvcy7bGaJfDvPDsRl+t8Q+429qruOiHObvegc5WlN51e0W76h389zdh/jMvm2r/uwGu5W/82xhPBLjpDmGa5+LmtfU8MOJGY5UV1BVpv/8ltoq+kORfBcJgM/0DdNkMfGGK7i2AoFAUAghegUCgaBE1lnN3FRdwbeGJ2l8awOPhOapNOjLLiADVfTeUlvFvU+8xONTPv6pb5hNDit3l9ixZIfLzga7hXPzIe67QmvD5ayzmgt6eQvRarNwwO3im0OTeP5zN+s/sYmHJrxXdADYU+nAqdfxibOXSKQzzMYT/PvAGB/qaMkPxxAIBIKrRXyaCAQCQRm8paWOH43PEE6l+eHYNPc0Vl+RMDNoNXzj6C4eaK7j7U+f4utDE3yoo7XkdoWSJPHGdXUAZdsJrhVva6nnB2PTpOxanosEkJMp7rsC0avXaPjq4Z08Ounjgade4VPdA9j0Ot7R1vAqrFogEPyiIkSvQCAQlMEbmmpJZRT+tX+UF3zzVxTZzKHXaPh/e7fwJzs2sK/KyZub68p6/fs3ruMLB7dTb74+tQD3r6slkcnw0MQM/z06w+HqiivuunKstpJHbt/PRDTG5y+O8oGNzZi0ooBNIBBcO65f7yGBQCD4H4jToOfuBjf/52w/dr2OYzVXV1QnSRIf7Gjlgx2tZb+20mjggTKF8rXEZdBzd0M1XxuY4PR8kI9sXX9Vv2+Tw8qjt+/ni5dGr+uwIIFAcGMiIr0CgUBQJm9rqSeeyfCahuqiQyR+UXh7Sz3HZ/wEEileew2KziqNBv5w6/qrLswTCASCyxGfKgKBQFAmt9e52eq08c5W4Tm9vc5NpUHPJof1utksBAKBoBSE6BUIBIIyMWg1PH33oeu9jJ8LDFoNn967heoSuz4IBALB9eKKRK/H42kFXgLOZ7/0lq6uLu+1WpRAIBAI/udw/7ra670EgUAgWJWrifQe7+rqevM1W4lAIBAIBAKBQPAqcTWi9yaPx/M08DTwsa6uLuUarUkgEAgEAoFAILimXKnonQQ2ABHgC8Abge8u/gGPx/M+4H0AH/zgB7nzzjuvYpmCG5FkMsn4+Pj1XoZAUBCxPwU/z4j9Kfh55nruz8bGxqLfkxTl6gK0Ho/nHuBQV1fXH6/wYyIKLFjG+Pj4iptTILieiP0p+HlG7E/BzzPXeX8WHWt5RQ0mPR6PfdH/HgMuXcnvEQgEAoFAIBAI1oIrtTcc8Xg8f4FqbxgEHrx2SxIIBAKBQCAQCK4tVyR6u7q6HgIeusZrEQgEAoFAIBAIXhV+sednCgQCgUAgEAh+IRCiVyAQCAQCgUBwwyNEr0AgEAgEAoHghkeIXoFAIBAIBALBDY8QvQKBQCAQCASCGx4hegUCgUAgEAgENzxXPZFNIBAIBAKBQCD4eUdEegUCgUAgEAgENzxC9AoEAoFAIBAIbniE6BUIBAKBQCAQ3PAI0SsQCAQCgUAguOERolcgEAgEAoFAcMMjRK9AIBAIBAKB4IZHd70XILjx8Hg8e4G/AzLANPAu4E3A7wIx4D1dXV2jHo+nE/gc6j58sKur67FFv+NzQFVXV9eb13j5ghucq9mfHo+nCfhq9ms/6Orq+pvr8FcQ3OCUsUd/G/gDoOvyz0rxGSp4tbia/Xm9P0NFpFfwajAO3N3V1XUzcAm4H/g94Bbgwew/AH8J/CpwN/DnuRd7PJ5WoH7NViv4ReNq9udHgL/MvvZmj8fTuHbLFvwCUeoe/TZw++UvFp+hgleZq9mf1/UzVIhewTWnq6trqqurK5L93ySwCTjf1dWV6OrqehbYnv1efVdX18Wurq4gMOvxeNzZr38YEBE0wavCVe7PduBU9vtngENruHTBLwil7tGurq4ZIF3gV4jPUMGrxlXuz+v6GSpEr+BVw+PxNAN3AM8AwUXf0mb/LS36WgCo9Hg87YACDK/JIgW/sFzJ/gR6gNs8Ho8ONarhetUXKviFpYQ9Wug14jNUsCZcyf7kOn+GCtEreFXweDwO4N+B9wIzgGPRt3Mnv8yir7kAP/BHwKfWYImCX2CuYn9+Eng78GNUUTH1aq9V8ItJiXu0EOIzVPCqcxX787p+hopCNsE1x+PxaIH/AP68q6vrgsfj0QOdHo/HAOxDTWkATHk8no2oRvjKrq4uX9aL9s+AGejweDzv7erq+te1/1sIblSuZn9mv/5A9nd8E/jZ2q5e8ItAGXu0EK2Iz1DBq8jV7M+uri4v1/EzVIhewavBW4HDgN3j8TyI+gH8t8Bx1MrOX87+3EeBL6Puwz8G6OrqugvyhRifFh/WgleBK96fHo/nNah+yQzwf7u6ukJru3TBLwgl7VGPx/N24IPARo/H81hXV9cd4jNUsAZc8f683p+hkqIoa/nnCQQCgUAgEAgEa47w9AoEAoFAIBAIbniE6BUIBAKBQCAQ3PAI0SsQCAQCgUAguOERolcgEAgEAoFAcMMjRK9AIBAIBAKB4IZHtCwTCASC64DH4/n/UIcIvLerq+srRX7GAvwhMFTsZwQCgUBQGiLSKxAIBD+/WIA/AX7lOq9DIBAI/scj+vQKBALBGpGN7v4R6vjNc6hN3N8L3Ic6w94MDAAf6+rq+p7H4xkCWhb9ij8D/jL7zzsAK/Ao8FvZSUcCgUAgKIKI9AoEAsEa4PF4dqLaGaaAz6GK3BwvodoYPpL9/3/zeDwm1KlwAD2oIve/sj/z+8APgb8D7kGdiCQQCASCFRCeXoFAIFgbbsn++2+7urq+5PF41gEfB7RAJ6qoNSz6+Vbgp9n/nunq6voGgMfjyY2Vff+in73rVVqzQCAQ3DAI0SsQCATXByn7bz3wHuBx1MjtB1DtDiagkP9MAlLAa4F09msiaycQCASrIESvQCAQrA0/y/77f3s8Hi2qlxcWxK8FNbp706LXBIEMsMHj8bwLeAbV1rAXVSg/hholbmMhKiwQCASCAojogEAgEKwBXV1dp4E/AOqAD6IWoAEkgG8A24E3AY8sek0S1QfsAr4GHAU+mf3aUeCfUD29x9fi7yAQCAT/kxHdGwQCgUAgEAgENzwi0isQCAQCgUAguOERolcgEAgEAoFAcMMjRK9AIBAIBAKB4IZHiF6BQCAQCAQCwQ2PEL0CgUAgEAgEghseIXoFAoFAIBAIBDc8QvQKBAKBQCAQCG54hOgVCAQCgUAgENzw/P8CUqAhi4K4UgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_pivot[(35.1, -114.5)].plot()\n",
    "df_pivot[(31.4, -96.2)].plot()\n",
    "df_pivot[(37.1, -88.7)].plot()\n",
    "df_pivot[(27.7, -82.4)].plot()\n",
    "plt.legend(title='Location')\n",
    "plt.title('Missing Data in some Locations');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Remove locations with missing data\n",
    "df_pivot.drop(labels=[(35.1, -114.5),\n",
    "                     (31.4, -96.2),\n",
    "                     (37.1, -88.7),\n",
    "                     (27.7, -82.4)],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "lat_long\n",
       "(49.0, -102.8)    0\n",
       "(36.9, -111.3)    0\n",
       "(36.8, -108.4)    0\n",
       "(36.6, -108.4)    0\n",
       "(36.5, -89.5)     0\n",
       "(36.4, -79.0)     0\n",
       "(36.4, -97.0)     0\n",
       "(36.3, -86.4)     0\n",
       "(36.3, -87.6)     0\n",
       "(36.2, -80.0)     0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_pivot.isnull().sum().sort_values(ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# df without null values.\n",
    "df = df_pivot.melt(var_name='lat_long',value_name='co2',ignore_index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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>lat_long</th>\n",
       "      <th>co2</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2000-01-01</th>\n",
       "      <td>(25.8, -97.8)</td>\n",
       "      <td>4.024838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-02-01</th>\n",
       "      <td>(25.8, -97.8)</td>\n",
       "      <td>3.857137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-03-01</th>\n",
       "      <td>(25.8, -97.8)</td>\n",
       "      <td>3.521733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-04-01</th>\n",
       "      <td>(25.8, -97.8)</td>\n",
       "      <td>3.354032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-05-01</th>\n",
       "      <td>(25.8, -97.8)</td>\n",
       "      <td>3.018629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-08-01</th>\n",
       "      <td>(49.0, -102.8)</td>\n",
       "      <td>3.691653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-09-01</th>\n",
       "      <td>(49.0, -102.8)</td>\n",
       "      <td>3.358604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-10-01</th>\n",
       "      <td>(49.0, -102.8)</td>\n",
       "      <td>3.460907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-01</th>\n",
       "      <td>(49.0, -102.8)</td>\n",
       "      <td>3.682119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-01</th>\n",
       "      <td>(49.0, -102.8)</td>\n",
       "      <td>4.003061</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>35760 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  lat_long       co2\n",
       "date                                \n",
       "2000-01-01   (25.8, -97.8)  4.024838\n",
       "2000-02-01   (25.8, -97.8)  3.857137\n",
       "2000-03-01   (25.8, -97.8)  3.521733\n",
       "2000-04-01   (25.8, -97.8)  3.354032\n",
       "2000-05-01   (25.8, -97.8)  3.018629\n",
       "...                    ...       ...\n",
       "2019-08-01  (49.0, -102.8)  3.691653\n",
       "2019-09-01  (49.0, -102.8)  3.358604\n",
       "2019-10-01  (49.0, -102.8)  3.460907\n",
       "2019-11-01  (49.0, -102.8)  3.682119\n",
       "2019-12-01  (49.0, -102.8)  4.003061\n",
       "\n",
       "[35760 rows x 2 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Create encoded column based on lat_long\n",
    "label_encoder = LabelEncoder()\n",
    "df['lat_long2'] = df['lat_long'].astype('string')\n",
    "df['location'] = label_encoder.fit_transform(df['lat_long2'])\n",
    "df = df.sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>lat_long</th>\n",
       "      <th>co2</th>\n",
       "      <th>lat_long2</th>\n",
       "      <th>location</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2000-01-01</th>\n",
       "      <td>(25.8, -97.8)</td>\n",
       "      <td>4.024838</td>\n",
       "      <td>(25.8, -97.8)</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-01-01</th>\n",
       "      <td>(35.5, -80.9)</td>\n",
       "      <td>12.041616</td>\n",
       "      <td>(35.5, -80.9)</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-01-01</th>\n",
       "      <td>(36.4, -97.0)</td>\n",
       "      <td>6.420758</td>\n",
       "      <td>(36.4, -97.0)</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-01-01</th>\n",
       "      <td>(40.2, -80.6)</td>\n",
       "      <td>10.188225</td>\n",
       "      <td>(40.2, -80.6)</td>\n",
       "      <td>101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000-01-01</th>\n",
       "      <td>(38.6, -83.6)</td>\n",
       "      <td>11.102073</td>\n",
       "      <td>(38.6, -83.6)</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 lat_long        co2      lat_long2  location\n",
       "date                                                         \n",
       "2000-01-01  (25.8, -97.8)   4.024838  (25.8, -97.8)         0\n",
       "2000-01-01  (35.5, -80.9)  12.041616  (35.5, -80.9)        41\n",
       "2000-01-01  (36.4, -97.0)   6.420758  (36.4, -97.0)        49\n",
       "2000-01-01  (40.2, -80.6)  10.188225  (40.2, -80.6)       101\n",
       "2000-01-01  (38.6, -83.6)  11.102073  (38.6, -83.6)        70"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>2000-01-01</th>\n",
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       "      <th>2017-08-01</th>\n",
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       "      <td>148</td>\n",
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       "      <th>2013-10-01</th>\n",
       "      <td>(49.0, -105.4)</td>\n",
       "      <td>148</td>\n",
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       "      <th>2017-07-01</th>\n",
       "      <td>(49.0, -105.4)</td>\n",
       "      <td>148</td>\n",
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       "    <tr>\n",
       "      <th>2017-10-01</th>\n",
       "      <td>(49.0, -105.4)</td>\n",
       "      <td>148</td>\n",
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       "  </tbody>\n",
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       "<p>35760 rows × 2 columns</p>\n",
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      ],
      "text/plain": [
       "                  lat_long  location\n",
       "date                                \n",
       "2000-01-01   (25.8, -97.8)         0\n",
       "2004-05-01   (25.8, -97.8)         0\n",
       "2014-11-01   (25.8, -97.8)         0\n",
       "2010-11-01   (25.8, -97.8)         0\n",
       "2004-04-01   (25.8, -97.8)         0\n",
       "...                    ...       ...\n",
       "2005-04-01  (49.0, -105.4)       148\n",
       "2017-08-01  (49.0, -105.4)       148\n",
       "2013-10-01  (49.0, -105.4)       148\n",
       "2017-07-01  (49.0, -105.4)       148\n",
       "2017-10-01  (49.0, -105.4)       148\n",
       "\n",
       "[35760 rows x 2 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[['lat_long','location']].sort_values(by='location')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "DatetimeIndex: 35760 entries, 2000-01-01 to 2019-12-01\n",
      "Data columns (total 4 columns):\n",
      " #   Column     Non-Null Count  Dtype  \n",
      "---  ------     --------------  -----  \n",
      " 0   lat_long   35760 non-null  object \n",
      " 1   co2        35760 non-null  float64\n",
      " 2   lat_long2  35760 non-null  string \n",
      " 3   location   35760 non-null  int32  \n",
      "dtypes: float64(1), int32(1), object(1), string(1)\n",
      "memory usage: 1.2+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
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       "      <th>75%</th>\n",
       "      <th>max</th>\n",
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       "  <tbody>\n",
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       "      <th>co2</th>\n",
       "      <td>35760.0</td>\n",
       "      <td>8.083218</td>\n",
       "      <td>3.926168</td>\n",
       "      <td>0.924653</td>\n",
       "      <td>5.199244</td>\n",
       "      <td>7.036835</td>\n",
       "      <td>10.071969</td>\n",
       "      <td>31.149539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>location</th>\n",
       "      <td>35760.0</td>\n",
       "      <td>74.000000</td>\n",
       "      <td>43.012228</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>74.000000</td>\n",
       "      <td>111.000000</td>\n",
       "      <td>148.000000</td>\n",
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      "text/plain": [
       "            count       mean        std       min        25%        50%  \\\n",
       "co2       35760.0   8.083218   3.926168  0.924653   5.199244   7.036835   \n",
       "location  35760.0  74.000000  43.012228  0.000000  37.000000  74.000000   \n",
       "\n",
       "                 75%         max  \n",
       "co2        10.071969   31.149539  \n",
       "location  111.000000  148.000000  "
      ]
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     "execution_count": 28,
     "metadata": {},
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   ],
   "source": [
    "df.describe().transpose()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " ### EDA: *Pre-Processing*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "df1 = df[['co2','location']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(35760, 2)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
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       "      <th></th>\n",
       "      <th>co2</th>\n",
       "      <th>location</th>\n",
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       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th>2000-01-01</th>\n",
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       "      <th>2000-01-01</th>\n",
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       "      <td>6.420758</td>\n",
       "      <td>49</td>\n",
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      "text/plain": [
       "                  co2  location\n",
       "date                           \n",
       "2000-01-01   4.024838         0\n",
       "2000-01-01  12.041616        41\n",
       "2000-01-01   6.420758        49\n",
       "2000-01-01  10.188225       101\n",
       "2000-01-01  11.102073        70"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "240"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#how many data points we have per time-series?\n",
    "len(df1.pivot(columns = 'location', values='co2')[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,\n",
       "        13,  14,  15,  16,  17,  18,  19,  20,  21,  22,  23,  24,  25,\n",
       "        26,  27,  28,  29,  30,  31,  32,  33,  34,  35,  36,  37,  38,\n",
       "        39,  40,  41,  42,  43,  44,  45,  46,  47,  48,  49,  50,  51,\n",
       "        52,  53,  54,  55,  56,  57,  58,  59,  60,  61,  62,  63,  64,\n",
       "        65,  66,  67,  68,  69,  70,  71,  72,  73,  74,  75,  76,  77,\n",
       "        78,  79,  80,  81,  82,  83,  84,  85,  86,  87,  88,  89,  90,\n",
       "        91,  92,  93,  94,  95,  96,  97,  98,  99, 100, 101, 102, 103,\n",
       "       104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116,\n",
       "       117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129,\n",
       "       130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142,\n",
       "       143, 144, 145, 146, 147, 148])"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Encoded locations available\n",
    "np.sort(df1['location'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "********** Visualize darts Time-series data *************\n"
     ]
    },
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       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;TimeSeries (DataArray) (date: 240, component: 1, sample: 1)&gt;\n",
       "array([[[4.02483837]],\n",
       "\n",
       "       [[3.85713663]],\n",
       "\n",
       "       [[3.52173343]],\n",
       "\n",
       "       [[3.35403198]],\n",
       "\n",
       "       [[3.01862878]],\n",
       "\n",
       "       [[2.85092703]],\n",
       "\n",
       "       [[2.68322558]],\n",
       "\n",
       "       [[2.93477806]],\n",
       "\n",
       "       [[3.18633053]],\n",
       "\n",
       "       [[3.35403198]],\n",
       "\n",
       "...\n",
       "\n",
       "       [[4.80718357]],\n",
       "\n",
       "       [[4.57827049]],\n",
       "\n",
       "       [[4.12044344]],\n",
       "\n",
       "       [[3.89153006]],\n",
       "\n",
       "       [[3.6626161 ]],\n",
       "\n",
       "       [[4.00598675]],\n",
       "\n",
       "       [[4.34935741]],\n",
       "\n",
       "       [[4.57827049]],\n",
       "\n",
       "       [[4.92164085]],\n",
       "\n",
       "       [[5.26501062]]])\n",
       "Coordinates:\n",
       "  * date       (date) datetime64[ns] 2000-01-01 2000-02-01 ... 2019-12-01\n",
       "  * component  (component) &lt;U1 &#x27;0&#x27;\n",
       "Dimensions without coordinates: sample</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>TimeSeries (DataArray)</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>date</span>: 240</li><li><span class='xr-has-index'>component</span>: 1</li><li><span>sample</span>: 1</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6859ee78-7a36-4533-8850-e455430c713d' class='xr-array-in' type='checkbox' checked><label for='section-6859ee78-7a36-4533-8850-e455430c713d' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>4.025 3.857 3.522 3.354 3.019 2.851 ... 4.006 4.349 4.578 4.922 5.265</span></div><div class='xr-array-data'><pre>array([[[4.02483837]],\n",
       "\n",
       "       [[3.85713663]],\n",
       "\n",
       "       [[3.52173343]],\n",
       "\n",
       "       [[3.35403198]],\n",
       "\n",
       "       [[3.01862878]],\n",
       "\n",
       "       [[2.85092703]],\n",
       "\n",
       "       [[2.68322558]],\n",
       "\n",
       "       [[2.93477806]],\n",
       "\n",
       "       [[3.18633053]],\n",
       "\n",
       "       [[3.35403198]],\n",
       "\n",
       "...\n",
       "\n",
       "       [[4.80718357]],\n",
       "\n",
       "       [[4.57827049]],\n",
       "\n",
       "       [[4.12044344]],\n",
       "\n",
       "       [[3.89153006]],\n",
       "\n",
       "       [[3.6626161 ]],\n",
       "\n",
       "       [[4.00598675]],\n",
       "\n",
       "       [[4.34935741]],\n",
       "\n",
       "       [[4.57827049]],\n",
       "\n",
       "       [[4.92164085]],\n",
       "\n",
       "       [[5.26501062]]])</pre></div></div></li><li class='xr-section-item'><input id='section-ad8e17c1-d377-447f-a266-30f616691c99' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ad8e17c1-d377-447f-a266-30f616691c99' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>date</span></div><div class='xr-var-dims'>(date)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2000-01-01 ... 2019-12-01</div><input id='attrs-e72b04d6-aff2-446b-985a-6212ef4d9879' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e72b04d6-aff2-446b-985a-6212ef4d9879' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6da0845b-e231-4b96-99d1-f801fd3c3016' class='xr-var-data-in' type='checkbox'><label for='data-6da0845b-e231-4b96-99d1-f801fd3c3016' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2000-01-01T00:00:00.000000000&#x27;, &#x27;2000-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-03-01T00:00:00.000000000&#x27;, ..., &#x27;2019-10-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-11-01T00:00:00.000000000&#x27;, &#x27;2019-12-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>component</span></div><div class='xr-var-dims'>(component)</div><div class='xr-var-dtype'>&lt;U1</div><div class='xr-var-preview xr-preview'>&#x27;0&#x27;</div><input id='attrs-615ebc13-f165-4253-bd57-92663ccec04f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-615ebc13-f165-4253-bd57-92663ccec04f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5422268a-91ca-470a-92c6-700d746a786a' class='xr-var-data-in' type='checkbox'><label for='data-5422268a-91ca-470a-92c6-700d746a786a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;0&#x27;], dtype=&#x27;&lt;U1&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-663703ba-d24b-4094-90a2-22c7964165b9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-663703ba-d24b-4094-90a2-22c7964165b9' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<TimeSeries (DataArray) (date: 240, component: 1, sample: 1)>\n",
       "array([[[4.02483837]],\n",
       "\n",
       "       [[3.85713663]],\n",
       "\n",
       "       [[3.52173343]],\n",
       "\n",
       "       [[3.35403198]],\n",
       "\n",
       "       [[3.01862878]],\n",
       "\n",
       "       [[2.85092703]],\n",
       "\n",
       "       [[2.68322558]],\n",
       "\n",
       "       [[2.93477806]],\n",
       "\n",
       "       [[3.18633053]],\n",
       "\n",
       "       [[3.35403198]],\n",
       "\n",
       "...\n",
       "\n",
       "       [[4.80718357]],\n",
       "\n",
       "       [[4.57827049]],\n",
       "\n",
       "       [[4.12044344]],\n",
       "\n",
       "       [[3.89153006]],\n",
       "\n",
       "       [[3.6626161 ]],\n",
       "\n",
       "       [[4.00598675]],\n",
       "\n",
       "       [[4.34935741]],\n",
       "\n",
       "       [[4.57827049]],\n",
       "\n",
       "       [[4.92164085]],\n",
       "\n",
       "       [[5.26501062]]])\n",
       "Coordinates:\n",
       "  * date       (date) datetime64[ns] 2000-01-01 2000-02-01 ... 2019-12-01\n",
       "  * component  (component) <U1 '0'\n",
       "Dimensions without coordinates: sample"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print('********** Visualize darts Time-series data *************')\n",
    "TimeSeries.from_dataframe(df1.pivot(columns='location',values='co2')[[0]].reset_index().rename_axis(None, axis=1),time_col='date')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot some of the time-series data. It was noticed data needs to be scaled.\n",
    "df1.pivot(columns = 'location', values='co2')[0].plot()\n",
    "df1.pivot(columns = 'location', values='co2')[1].plot()\n",
    "df1.pivot(columns = 'location', values='co2')[2].plot()\n",
    "df1.pivot(columns = 'location', values='co2')[3].plot()\n",
    "plt.legend(title='Location')\n",
    "plt.title('Time-Series Overview: DATA NOT SCALED');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "scaler_co2 = Scaler()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "#This loop is used to create two lists: \n",
    "    #scaled time-series per location and \n",
    "    # unscaled Time-Series per location \n",
    "# Also, we convert to timeseries data type from darts)\n",
    "#This is done so we can feed the model with the scaled data.\n",
    "location_list = []\n",
    "location_list_transf = []\n",
    "for location in np.sort(df1['location'].unique()).tolist():\n",
    "    location_list.append(TimeSeries.from_dataframe(df1.pivot(columns='location',values='co2')[[location]].reset_index().rename_axis(None, axis=1),time_col='date'))\n",
    "    location_list_transf.append(scaler_co2.fit_transform(TimeSeries.from_dataframe(df1.pivot(columns='location',values='co2')[[location]].reset_index().rename_axis(None, axis=1),time_col='date')))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "location_list_transf[0].plot()\n",
    "location_list_transf[1].plot()\n",
    "location_list_transf[2].plot()\n",
    "location_list_transf[3].plot()\n",
    "plt.legend(title='Location')\n",
    "plt.title('Time-Series Overview: SCALED');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data Modeling\n",
    "- Create NBEATS instance (a generic model for all time-series)\n",
    "- Fit the model with all time-series in df\n",
    "- Save / load model for future use\n",
    "- Evaluate model's performance\n",
    "- Forecast on some locations and plot results\n",
    "- Invert Transformed data (Return to original scale)\n",
    "- Create Predictions dataframe\n",
    "- Feature Engineering predictions dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C:\\Users\\anton\\Google Drive\\Master in Data Science\\Independent Projects\\9. Carbon Capture Challenge\\Code\n"
     ]
    }
   ],
   "source": [
    "# The model will be saved so it can be used in the future. Therefore, we set the following variables:\n",
    "\n",
    "load = True\n",
    "SAVE = \"\\_NBEATS_model_Rev03.pth.tar\" #filename\n",
    "mpath = os.path.abspath(os.getcwd()) + SAVE # path and file name to save the model\n",
    "print(os.getcwd())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "have loaded a previously saved model from disk:C:\\Users\\anton\\Google Drive\\Master in Data Science\\Independent Projects\\9. Carbon Capture Challenge\\Code\\_NBEATS_model_Rev03.pth.tar\n"
     ]
    }
   ],
   "source": [
    "# training: load a saved model or (re)train\n",
    "if load:\n",
    "    print(\"have loaded a previously saved model from disk:\" + mpath)\n",
    "    model = NBEATSModel.load_model(mpath)                            # load previously model from disk\n",
    "else:\n",
    "    model = NBEATSModel(input_chunk_length=48,\n",
    "                        output_chunk_length=12,                        \n",
    "                        random_state=0)\n",
    "    model.fit(location_list_transf,verbose=True,epochs=100)\n",
    "    print(\"have saved the model after training:\", mpath)\n",
    "    model.save_model(mpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2022-05-23 00:54:21 pytorch_lightning.utilities.rank_zero INFO: GPU available: False, used: False\n",
      "2022-05-23 00:54:21 pytorch_lightning.utilities.rank_zero INFO: TPU available: False, using: 0 TPU cores\n",
      "2022-05-23 00:54:21 pytorch_lightning.utilities.rank_zero INFO: IPU available: False, using: 0 IPUs\n",
      "2022-05-23 00:54:21 pytorch_lightning.utilities.rank_zero INFO: HPU available: False, using: 0 HPUs\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d99c7bf05f724c7780bf916982e72f89",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Predicting: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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hJQB2VYAAgKpKYU9YWgaWltVNAs5kuy2bxN/UbIMgCKK4iTMA1lkFYnBwEAAwPz+/pvNcKUEBMLEuSDfCgF0HeFqhNcFdAQIQ7ZBlsD27oG4s6TVubQS2bBJ2i97h0r3KJgiC2AjEHQDrUoCHh9OKTCkn2FEATKwLbAtEhSYF2FUBQmKPpTLYdqjNPVIBpmYbBEEQRU3cHuDW1taM21QxNDRk/00BMEEUGLsMWkJzANyQebvuYFtaIMgDTBAEUdx0dXUhkUigv78fi4uLyl9/dXUVExMTAICmpibU1dUhkUhgbm4Oy8vLysYhBVhAATCxLlhcEtuKcqBetkJWqMq6S6BJ9FgghN2htZHZpdbIA0wQBFHclJeXo7OzEwDQ29ur/PUnJyfBOUdzczMSiQQYY2hubrbvUwUpwAIKgIl1QboRhi4FWASlLQ2ZtXh1q80dLUB5AhieABYWyQdMEARRzMjENB02CKf/V9LU1AQAtjKsAlKABRQAE+uCpYxGGOLv6RgsEHXVYqsrAE4kGLVcJgiC2CDoDICl17elpcW+TSrAKgNgUoAFFAAT64JFuxEGUFsl/p6dB1IpNaqpTExz1gEG9CjAY66aw2SDIAiC2BjErQDrCIBJARZQAEysC5wKcCLBUGsps3OKvLmFSoIDgC0dYkuJcARBEOqReRdxUCgLBHmA1UMBMLEusD3A5WKrOjCNtQyaK9gmBZggCEIP3/kfjrZXcfy/n8cTBMvavBtFAe7v70cqlVL22sUEBcDEuiBtgRCTmOpmGFkVYFlxQqUFwtEIA6BmGARBELp45ICYVx98Kp75VSrAx44dU/7acXiAV1ZWMDo6aleYWFlZwchIaRaqpwCYKDirqxyrq+Lv8oTYqlaAs5dBY9Y4aibP5RWOmXmgrCwdxG+hZhgEQRBakHP7iaHcj1OF0wLBudqgOw4LhAx229rasHXrVgCla4OgAJgoOMuW/aGqEmBWlTKVATDnPKM7mxPVgfaENU5zPVBWJt5MDzXDIAiC0IJc3Ytrfm1oaEBTUxPm5+cxOqq2tI98PZ0WCGl/2LRpk7ZWy8UCBcBEwVm0E+DSt6kMTGfmgdVVoKYKqKrUWwfYtj84Am27G1xMCgVBEESpIMWNOAUGXS2RZXJaR0eHfZvqANg5hgyAk8mkktcuNigAJgpOuglG+jYZmKrwAI+7ypI50ZZs5wiAZR3g/jFh9yAIgiDUIOfcgTFhQYuDLVu2AFAfODrVWYlqC4Qco6Ojw7ZzkAJMEAVClkCrcgTADQqT07JVgADiCYArKxg6WoQKPTiuZhyCIAgiPedyDvTFlGchLQoyaU0VcSrAZIGgAJhYB+i2QGSrAKF6HGBtBQiJnQhHPmCCIAhlyPkdiM8GIas0qAyAOeeeCrAuD7DTAkEBMEEUCLsJhocFIq4AeFZzww1ZC1j1BD2/yPE/D3EsLZO1giCI0mJxiWN+Mf3/uPIsdATAMzMzWFhYQG1tLerq6uzbVVsgSAFOQwEwUXCkB7gqIwBWV54sWwk0MY7YqmqEka3ahKwEoXqJ7ks/AK78C4477lL7ugRBEOsdp/oLxFcKTUcA7KX+AqQA64QCYKLgLC6JbaWHB1hlEpxXAFyn3AMsAvbWhsxqE82W/3hyVs04kuf7xHiDY2pflyAIYr3jDoDjajakIwD28v8CQGOj8NNNTU0p6djmHGfz5s1gjGFwcBArKyuRX7vYoACYKDjuNsiAYgvEjJgUW1xBqepxgOxqc0Ot2oYb9njWCWCFqksQBFFirA2A4xlXpwLsDoATiQQaGhrAOcfU1JSycTZt2oTy8nJs3rwZnHMMDg5Gfu1igwJgouDYVSAq07fp8AC3einA1WI7uwCkUtGDyKwtlxWWdXMiA+6VVbWvSxAEsd6RlrNGyzJbzAGw05vrRtogVPiA3UpzKdsgKAAmCk4hq0AkEgw1VaKEjjOZIupY7ioQKsu6OZEK8HLprV4RBLGO6R/hGJvSuzIlBYC9u8R2I3iA3QowoM4HvLS0hImJCSQSCfs9dHZ2AgD6+/sjvXYxQgEwUXByVYHQ7QF2jqUiOB3LowArD4BJASYIYp2xuMRxxts5XvQnegNgObe/YAfAGNA/Gk8zjLgVYFkJImoAPDIisrDb29tRVibCv66uLgDAwMBApNcuRigAJgqOVxUILY0wYgiAszXd0G2BWKYAmCCIdcLQuJibnj0OzC3oC0jlfNvRAmxuESt5A6PahrMplAIc1QLhlWhHCjBBFBCvKhBKVdkcZdBUjxWnBWJpmduvRwowQRDrBenNBfT6cmXVnZYGhq0d+seT1NbWoqKiAgsLC1hYUFNE3o8HWKUCLCEFmCAKiP4qEGKrOwBeWBRF2SvKgdpq7zFUKsDODGgKgAmCWC+MOYoV6PTlOlf3ZLfNOHzAjDHlKnAuBVi1BcIZZJeyAlye/yGAYRifAXAhgOMArjVNc8m6vQbA9wE0AFgG8EemaVJFUiIQnh5gRYop5xwTMQXAzsmYscySazoUYOdJhpLgCIJYLzgvzmMLgGNUgAFhgxgaGsL4+LitokYhjioQMgBua2uzbyMFOAeGYZwNoMs0zYsBPA3gDY67Xw7gSdM0LwXwrwDeqmUviQ2NrALh9ADb5cnmo5Unm54DVleFIltZsbYOMKCuG5xUmr3KrelQgMdIASYIYh0SmwLsEDe2bBLzezE2w+CcF8wCQQpwbi4CcLf1910ArgXwL9b/DwJ4ifV3M4Ck+8mGYVwH4DoAuPHGG3HZZZeF39sILC8vI5lcs3vEOmB4tA5AI5YWZjKOU23VZswtluHg8/2orwk3qfUOJwB0oKl2Fcmk9w+8DE0AanGibxzJZHiJ9rnDFQDaUVe1hGQyMxNDlFjrwvQcV/Y9PHikCkArAGBqeh7J5ISS1/UD/Z6KBzpWxcFGOk5Hk2JOB4Bnj8wimYxev9aL4bF2ABVYnh9CXXk5gBYcPKZ2LjwykMCff60ZL9ixjFvePmUfp5oaoWocOnQIO3bsiDTG1JR43bq6OoyNrV1Elx3gkslkpO/IsWPHAADl5eX268jXHhgYQG9v75rVy2JFHqeenp6sj/ETADcDkBWSJyHPuILDAM4wDONJABzABe4nm6Z5G4DbrP8WrF1Vvg+CKBw1tRwAR2tLPSoqpu3j1FCXwtwi0Njcha72cD/K4Tnx2u3NiazHv6NNTACVNS3o6Wn1fIwfyo+KsTa3Va4Zi3MOxjgWlhg2b+5GeXn0SYY9LsYDgIrKGvT01EV+Tb/Q76l4oGNVHGyk45QqS7fsHZ2pRU9PfY5Hh2d6QYxz6u4OJKoAgGNyXu1ceHiY46HnOCqrKtHT02AfJ2kdKCsri3zc5ubE0uDmzZs9X2vnzp0AgJWVlUhjyYS9PXv2ZLxOY2MjpqamUFtbi9bW8OfA9YSf35OfJLhxyEs5EQw7L0+uAXCvaZpnAPgYgI8G302i1FlcFkGc0wIBqPHm5iuBpmoc51juChCA8ATLcWbVJA1j1LHMSBYIgiDWC4VIgpPd4KY1NRtyW9tUWiCc7Ym9UG2BcHqAgdL1AfsJgB8EcLn19xUAHnDdLwPiCYgAmSACkU6C804ci+KbzVcCDQDqqsW4M/PRFijyjaXi/WSOl95fSoIjCGK9EEcSnLvqjp1orLjW+qjl3mhryrxdZQDsVZ/XiY5GGE5K1QecNwA2TfNRAP2GYdwP4HQAPzQM41br7jsBvNwwjHsB/F8An9e1o8TGxQ6AXYYcJQpwngoQqsYRY8malHrHkVASHEEQ6xGnAjw9B0zOqHc/uqvu2InGihVgudK2HhTgqFUgRkdFboo7AC5VBdhXGTTTND/guul66/YpAK9UvVNEaWF3gqvMvL1oLRAN3v5e9Qpw+m9SgAmCWC84G2EAQgVuUmwDdosbqudXiVxpa2vKnNfjVIBlABx1LFKAM6FGGETBWdSpADs6BWVDVQAcZ8c553gAKcAEQawfpBiwXcRVWmwQbnFDls6cWwBWV9UpzutBAXaOtboabrKfm5vD/Pw8qqurUVtbm3FfqSrAFAATBcerEQYANFq/0QmXmhCE8SwJDE6U1QHOozYrV4DJAkEQRADmFjjuf4wrDRC9kBfnZ+4SW60BsKUsl5WpTzQG0u+lkB7giooKtLS0IJVKeZZJ84MzAc5d6owUYIIoELYFwhUAd1mJqv2ZJXUD4csCoahLW64qEIBeBXiZAmCCIPJwyx0cl9zE8eP79Y2RSqW7b+7dLbYnhvR6gCU6Gg6tBwUYSAfHMlgOSjb7A0AKMEEUjMUlsXUrwN1W7d++kfCTZ5we4DGfCjAlwREEUQgOWT0UnnhenwI8OQtwLua7nV1iDtepADsFBx0+4DgU4DgC4GwJcAApwARRMKQC7PYAd1u/074ICnC+oBRQnwTXkiXZQ6U6sbLCMemwhlASHEEQ+ZBz1PEYavO2NgJbrRX9ODzAgJ4AOA4FOJc6KyEFWD0UABMFR3qA3VUgui0LRN9I+NeOSwHmnOcdS6UFwu2LJgWYIIh8SDXz+KC+MZzzoN4AeG2Cs+pVNiC7AlxXV4fy8nLMz8/bHdbCwDnPqc5KVAXA7iYYANDa2oqKigqMj49Hei/FBgXARE56hzg++o0Uhif0LZllqwJhK8CaA2DZQShKst3svFBha6qA6qpsZdDE7dNz0T9LqWyXWb9gCoAJgsiHnDd0BsB2NZz6zACYc7XnkDg8wHMLHAtLQpypqcq8jzGmRAWem5vDwsICampq1lRncKJTAS4rK8PmzZsBAIODGr8c6wwKgImc3PZTjlvuAL7+U31jZKsCsbkVYAwYHBdL/kFxJmPkCoCb68UENz0HzIbsBhen1xhIn2Q2NYstWSAIgsiH0wKhOiB1j9HaKC76m+qBhaV0RzXV4zgtZ7pqrbc1Yk3lBECNDSKXMutEpwcYSNsgSskHTAEwkRPpMz3Sr08BzlYFoqKcoaNFJFQMhKj8Mj0HpFIi8Kwoz14HmDEW2W4hi7LnKremcnKWE3NHs9iSAkwQRC6WVzimZsXfi0vA8ISecdxiwBYrr6t3WPE4HuKGPccqskCMOgJgL1QGwLnsD4BeBRhIJ8KVkg+YAmAiJwtWhYZjGn8T2apAAEBPBBuEH1VWIu0WyZABcL4mGIBaBVhOzJtbxZYUYIIgcuG2eOmyQUibhRQD5Jw4Oat2nJEJsXV6cxsU1XSXyHk9W2lLFQGwH/8voNcDDJACTBBrkAGwzqzhbFUggGiVIIIEwFECbb9jkQJMEEShcNYNB/QFwO7ktAYNtXkBb3W23laA1axYxqkA67ZA5FOA5e0yIC8FKAAmcmIHwIP6PGPZPMBAtEoQfkqg2eMoCoCzKQWAYg+wdZKRCjAFwARB5ELOURJtCrBrNUxHaTLOeVppdtYBrpGJxmrGyacAy6A1bHc2ILgFQtYMVj1OU5OQ0icnFZu11zEUABM5kQHw/CIwoul3IatAuD3AQLRmGMEUYDFOMmTTDT8WCD0KsNhvskAQBJGLNQqwhu5swFoxQEcAPDkDrK6K166sWFsGTdVY+RRgGUzK4DLUGD4tEM3NzSgvL8fk5CQWFxcDjeGn1FpzczMAYGJiItBrFzMUABM5kQEwoE8xsC0QngGw2Oq2QERWgGfW1qR0o6MKRIdYgSMFmCCInEjFVM6z+iwQYqtTAc4WmKquAzw6Keb11kbveV12bgurygL+FeCysrLQ48lSa9XV1VlLrZECTBAuYgmAs9QBBqIFpvk6sznpsTKVwybBjbsSP7ywa1QqsUCIrTMA1mVRIQii+JFz1At2iK2O5hTA2iQ4WWddRf1ziSyp5m5OoboOsHwvOhVgvx5gILwP2E+QTQowQbiYd6y06AqAc1ogIniAvToFZSNyGbSAdYCjBqvO+pSJhPh7lVRggihK/us3HL3DCa1jyDlj3x6xjU0Btny5UzEqwMosEFagnc0DLAPKOBRgQG8ATAowQbhwKsDHBtUrjJxzWwGuyKEAh1Fm/SSmucfpGw0XnPrxAFdWMFRWiEDV+bmGwdmes8I6b5INgiCKj6eOcLzyLzn+4ram/A+OwNiUmNdesIMhkRC11ReX1M/pcSTBjTrmPyfKG2HkUYClJSEODzAQPgD2MwYpwAThQrcFQgZtiQSQSKxVajc1A+UJMakuLAabrIN4gOtqRMeixaW1ySJBxsoXbKvyqDmXGcutAHiZAmCCKDpkjfWDvR4KgELknLGpWV9ziuUVjpl50aJdWh+0BMDSAqHdAyy2cSjAhbZAkAJMEC50B8CyCYaX/QEAysoYuqx5oT9gIlyQMmhAVLuFv7HqFRRqT6W4PV5zfToAJgWYIIoPOU8NTiS0KLIS50X6NhFHKZ/TZbON5noxdwO6FGDxObU3ZYomhfIAj46OIpVKBX59znmsFohcQTYFwAThIiMA1pA0kasJhiRsJYggCjAQLRHOb7DdoCARbnJWtIduqgfKy5ltHaEAmCCKD+eKk67ENOc4LQ3Ats3ib9UBsF0316s9cYwKsIpEY855XgW4oqICTU1NSKVSoawDc3NzWFxcRE1NTdbqDE7CBsBSoc4VZNfU1KCiogILCwuBy6wVKxQAEzlxBsCDY8FtCPnI1QRDElaZDRoAhx0nleK28pGv4oTsVBRFAXafZGwLBNUCJoiiQ3pzAeCYpsQ0ABmNI+wAWHHA7TXnqgxKJdk8wFIBnp0X83IUZuaFqFBXA1RVZk+kjlIKLYj9AQgfAA8Oii9WZ2dn1scwxkpOBaYAmMiJDIClCqtaochVAUISthRaXArw9ByQSomJvrw8d8UJFQqwuzsRKcAEUbzIwBRI+4F14CzVuG0zs8ZTK2h4JQM3alCAR7IowGVlDHUyCF6INoat/uY5f0QphRbE/gCED4AHBsQXK1cADJReIhwFwERWVlc5llcAxoDd3eI21YqBLwU4RDc4pyrb7KMOMAB0t4XrOuenAoREhQfYXWeTFGCCKF6cFojjGirtAFbrYMc81dEs/h4NkfCbC8/2xDFWgQDU+YDHcozhJEoiXJAKEED0AHjz5s05H0cKMEFYSHW2uhLYbl04qvaM+fEA20lwAdqtS59sQy1QkUeVlUgFWKfSXK9gOdDtS6MkOIIoXpxBqC4LhFzOr60Wy/k6glIAGJkQ203N6dvkWFOz6sbJ5gEGHKtsEd/bqIef2YsopdCCKsByrKGhoUDlOkkB9oYCYCIrsglGTVXaM6Z6ycyuAlGZ/TFNdich/68rK0Z0tvp/Ttiaw+OW0pxvogTSk7MSDzBZIAii6HEqwLosEO5OlbJEmcqgFABGrNbBbY7WwbXVoizawhKwsqLm/JFLAVYV3MehAAf1ANfV1aGurg6Li4uYnp7O/wQI9V96gEkBzoQCYCIr0v9bXQls6xATmnILhA8FOMySlgyAu/1dWAMAekJ6jYNYIOSJR9ozwkAWCILYOIzFoADH0ZwCSAem7Y6gkTGmtA38wiLH3IK48Jev60RVLeD1qAADwW0QExMTWFpaQmNjY95KEzIAJgWYKHmcAfBWq25kr+IAWKrMuZLgwkzWMojt8ndhDQDY3Cr8zoPjwZSKIBaILstn3D8aXgmRWeOtlspCCjBBFC/OJLgTQ9GrF3iO4Vo1kolpKtsTA+nktHaXaqoy4Ha2QWZsrb2tUB7gMAFwUA8wkFaL5XPz4df+AKQtECoV4Lvuugvvfe97cffddyt7TVVQAExkxRkAy0Qy1ROmn0kmzBW9VICDBMAV5QybW0RFh8Fx/88L0nJZqsxROjC5E01IASaI4sTZ1KapLoXlleANf/zgXjXSpgBLb65rPldZCSKX/QFQ995ks43Whtw5JHGWQQOA+npxMp6d9edf8ZsAB+ixQPzyl7/El770Jfz2t79V9pqqoACYyIozANbnGRNbt2LgJJwFQkxesrKDXzZbnuGhAAHw8MRa31s2tkglPUoA7FBAAEqCI4hiRSbrNtYBOzaLK1gdPmD3KpVzTlWpOMeiAOdIgFM5VhwKcBgLhAyAZ2b8+ej81ACW6EiCO3HiBABg27Ztyl5TFRQAE1nxCoCVZw37CIDDTGhhFOA4xuoJmWjnZE0SHAXABKGcp45wfPM/eaBs+6A4m9r0tIsfsA4fsHvOSCTU1ct1ErcFwotCeYDjKIMGBA+Ag1ggdCjAx48fB0ABMFFkOAPgBm2esfzqqXNC83syCuMBBsI1qgiScNfZKjKiB8eApeVwJ1ZKgiMI/bz3Sxzv/DuOh57RN4YzMN1iBcCqS02KcTLzBgCHD1jRqh7nPKs9QYsCnEU0Savb0S5c8lktJCoU4DAWCB0BsA4FmAJgoijJCIAdS2YqFRE7a7g5+2MqKxgqyoXCKcum5SNOBbgvwFjl5cwuzRbW6+dWc8gCQRDqkTal547rG8Pp5+/ZJBVg9YqzLNXo2aJYkagxMy8aG9VWAzVVmYKGSgElvwIsxlZmgciT29HY2IiKigrMzMxgYcG/nM45j2SBKAYP8OrqKnp7ewEAW7ZsUfKaKqEAmMjKglWhobpSBG611cKvNquwp7ssnJ7LAgEEW9binNtNM4KUQQMcndoCvEepNvsda4vVcCOMD5hzbp805clMVoEgBZgg1CEDoKMa2xM7LRBSAdbhAR7zWM5XndeRay5X1ZwCAEblqmGT96qhHdirskDkCYAZY6FU4JmZGSwuLqKmpiZveTInOj3Aqsug9ff3Y3V1FZ2dnaiqqlLymiqhAJjIyrylttZY31sdNgg/HmDn2H4m0Ok5EaTXVKUneb8EVUVm5jim50QjD78tl2UAnAwRAE/PAaurIlCvrBAnAFKACUItzgtN1c1/nHhZIOLwAAPpoFTVfJ5LmdXhAc52zmgIIWK4cVbn8NPgKEwA3N/fDwDo6uoKtG91deKkptMCoUoBXs/2B4ACYCIHTgsEoLaUjcRvABykkLrT/uBVJzIXQSdq2/8bYKyeCAqw14mM6gAThFqmZsWFJqBZAXZaIBwKsOrEOy8LhOrE5lxzeWOdtCVEf18jeapAqKgDPDkrymE21onVz3yESYQLGwAXUxIcBcBE0eK0QAB6SqEFVYD9tBAO0wUuPU6wiTqM13jLJjFG73Dwk4FXAGwnwVEATBBKcHZn02uBSNeabarjqKkSyqVKmxmQThxr9fAAK7NAyLm8ee19WqpAaKwD7Nf/KwmjAPf19QEAuru7A+1bkAB4dXXV7hgnO8jlwhkAq7gIowCYKFrcCrBqC8TSsrAPJBJAUx77QJDqDGET4IDgJXT6QgTbdim0EAqwV2keskAQhFqc3dmODwKrq3psEM4LWsbSNqpJTfXWNzWnb1O9operPm+cdYClODASQcS0Lxh8BsDrVQEeHR1FKpVCW1sbKipytFu1KC8vR11dHVKplG+FORcUABNFi24LhHMiy2cfCLKsZZdAaw2+T0GXz+wEuCAKcIRmGLksEJQERxBqGHUETyur6d+5atwlDXWsss0tcMwvijwFWfs3YyxlFghxkdDukZymNAkujwIcJclYIo+LTgU4agDspwpEEPuDRGUpNAqAiaJlYUlMaNWVYkJTnjXs0/4ABFNm7S5w7cH8v85x/HuAxVhdATrORWmG4T5hAqQAE4RqnAowoM8G4b6gbbLmWJUK8PCE2LY3ZQoNQe1e+ciVnKaqMsPqajo5rSXLqmFbkwj2J2fCv7egCrAMgIMowHFYIMIEwCp9wBQAE0VLVgtEAQNgP4GpCgtEYAU4iAXCUQUiaBtSSoIrfsxnOR47pK+yABEdpwcYiC8A1pln4bQ/AOobYdjJaTkC4KhjTcyIUpzN9dmT0xhjkSrtAMEVYNnIYmxszPcYcVSBCFIDWKKyFBoFwETRktUCoShBI0gAHMSaECkADtgJLsxYNVUMrY0iYJXqjF9k0oyzcx51gisellc4Xvpn4l/Qix8iPkZdAbCO2rzA2hUdHQpw3vbEqubzCe9xMsaKaIHw251tawSbGZCuNexXAW5oEAcwiG82DgU4SA1giapSaNPT0xgfH0d1dXWgRh9xQgEwkRU7ALbqAMtSNlOzak7cwRRgMfbMfP6xwySmSeoDVJuIMlZYn5qzbJKELBDFw9SsCALGpsJ3AiT0Iy80T7KaVx3VUAuYc24rwC0aPcDZAlPVY+WyQKgquZYvAU4i59cTQ+HGSSvA/qxtMgCenp7O88g0cSTBFdICceLECQBC/Q1ajjQuKAAmsjLvKoMWZ9kcN7FZIAIqwHbCXcCxwi7RURJcceNU9nSW1yKiIX9n55wstjqO1cy8uGitrQaqrdbBjYor7QCZHmAnqlsh56rPq7o7m98AOLwCLLZ+FeCgtXlnZ2cxNTWFqqoqtLS0BNq3MAFwEAuEqiS49W5/ACgAJnIgFeAaXRaIibXL+dnw26J4boFjalYkQTiLvvslyEnB2QUu6Fhhm2FQElxx47x4PNJfuP0oVhaXOG65g+OJw3rtI6N2ACzmJh0BsFd7YlkOcnJG3fuT1Rk2NWfOsyqDbc55bg+ww8IWpb7saI4xnNi11ofCjRXUAxxUAXaqv0HVUdk2eW5uDqlUKudjZQ3gMB7g8fHxQPvlhgJgoqhZa4EQ2ziWzNz4DUxt9bc1eBc4IDPQzjdRRxkrbDMMTwU4IV5rRVOtUkIdzt/OUQqAA3P374CPfoPjw/+k97suf2dnnyS2OmoBe/2WGy2rVxzt5lWu6M3OA0vLQs2urV47F5aXM1RXiu5qcmUxDH4V4OgeYLHVpQBL/29Q+wMAJBIJ1NbWgnOO+fncipAsyxbEgysD1ueffz7wvjmhAJgoatYkwa2DMmh+A+DOEPYHQEzUNVViop5b8DdWGK9x2GYYOTvBkQVi3TOZoQDTBUtQ5G/uYK/ecaQCuGUTsLlV/LZUe7a9/PxpBVjdONnmWZWtkPO1JwbUWC5GZRKwR61hJ1E9wH4DbUlYBThoApzEbyUIWZZNNurww6mnngoAeO6550Ltm4QCYKKoWVMGLaA/Nh9hqkDks0CMBVCVo47VF8FrLIPmICfVVIpTJ7gihywQ0ZC/76MD0ZbS8+FUAHdY+UPHBtWO4WWBKIQHWMVYfuZyFQGwTOjL6wGOqAB7CQ25kAHp7OxsXlsCED4BTuJHceac2wFwEAX4lFNOAQA8++yzofZNkkwmAQA9PT2RXkcnFAATWYlNAW7O/1i/k6dUVcL4f4OOFaYGsKQpRBemkUmhRLU0pJNmAEqCKyacx5uS4IIjFcD5RWDQf8nVQKRSPEOdlQGwasuKV5ClUwF21wGWF/qz89HtHX7sbCosF35tc+1NQGUFMD4NzPqoHORkZYVjYiazNXU+ysrKMoLgfIQtgSbxEwDPzMxgaWkJtbW1tm/YD93d3aivr8fo6GigznZuZAm2IP7juKEAmMhKMVogxj2SxILi324RvAucJMzyowy4e1wBNynAxYMzsDk+JE62hH+c9Xl1KehTs8IC1VALVJQzbLfO38oVYI+5SocCnG2eLStjvle78o4xIba5ktOkKOHushcEv3WAy8oczTACxnAT1m+0uR5IJPzP7UF8wHEowGHsD4DIZ1Fhg6AAmChqsnWCU2GBmF/kmJ0X6mWDj4tTvxP1+LQIKFoawtcdDKwAR+g4F+RiQk7kPa75jDrBFQ9Tjtasq6vh2mGXMmMxBMBub26rVaVmQmFlBgAYtqrgtDuqM6hWgJ22Ka+gUZUP2I+YEbU0GeC/DrBzvKA+4KD+X4kMSv34gFUpwLnU5jD2B0lUG8TKygpGR0fBGFu3TTAACoCJHLgD4LpqsSykZMnMMZH5qaDgN/h2F5YPQ71Pr7P01nUEK+MIINzFhEyYc1su7CQ4CoDXPe4LHvIBByMOBXjMFQDpaE4BpOcPpzVBtQI8MSMutBrrgMqKtfOsKh+wtKa050hOk5UZwiamiXHENkgA3BtwvKD+X0mQbnBxKMDSvhBUAQaiJ8INDw+Dc4729naUl5eHeo048LVnhmF8BsCFAI4DuNY0zSXHfW8CcJ31Wn9hmuZDOnaUiB93I4yyMoaGWm53s2qOEGQGKYEm9yGRABaXRDvZiix94Mc9MquDIk8K+brBBa0V6TWGrIvp5yKgb0ScZMgCUbzIKhCJhAhMjvQDLzm7sPtUTMgLZ0BW0VDfYWrUFQDpaE8MZAmANdnM3P5fezxFzTD8VIHY2sEAcJwYCnfcOM+tZrsJqzhHVYD9BMBRFWA/VSDCWiCA6ApwMdgfAB8KsGEYZwPoMk3zYgBPA3iD475uAH8A4GWmaV5Cwe/Gwm6EUZW+TVX3oCAJcIBQif3YIJQkwflUgKOozRWOupj5yq1J0haIzJMHJcEVDzKwOdWqDKSjxe5GJk4FWHpztSvAjmCuvkasss0oWGUDsrdBlqiqBTzqYz6PqgDPLQgBpLrSu9bw2vHU1Vr3g99SaHNzc5icnERlZSVaW1uDDWIRxAMcxoIQVQHeMAEwgIsA3G39fReAFzruuxLAIoCfGYbxHcMwfOZMEusdzrkdAFdVpG9XtUSXb2L2wtlNKBtxJsFFVZuDXkzYFgiX55gU4OJBqohn7RFbskD4h3MejwfYpTLKOS8OBVissom/VdbnzTbPxukBjhoAB1F/gXQptLg9wPkUYGl/6OzsDNWsye9YUSwQe/bsAWMMhw8fxtLSUv4nuJABcGdnZ+DnxokfC0QzgD7r70kAzkuWzdb9lwG4AcCNAP7W+WTDMK6DsEjgxhtvxGWXXRZph8OyvLxs16Uj8rO0AnDehYoEx8BA+kxTXdEGoBKHjw6juXI59OsfOl4LoAk15bNIJtNntVzHqaayHUAFDh8dQmLFW+4cGtsEoBxLc4NIJsNFhHylHkADkgNTSCa9J5jVFDAxI/xbs1N9WAiRtFJbJfb14JFBrC7k39ej/eL9V/AhJJPp9z81WQWgFdMzC0gmo7Wv9Av9nsIxOiGO4Y5NUwAaceDYIpJJTfW8LDbKsZqeY1hZ7URVBcfiMsPxQY5jx5P2BaAqjvSK338FppFMzmBxrhzAJoxOLCOpKGuRc2BovBMAw/J8P5JJbh+n+uoOTM0m8NzhQWzZFO2q9sDRGgDNqK2YQzI5ueb+BJoA1OJYchzJZPjs5v4R8b1eXcicmzLGWmUAOnFsIIVkMvjVyzNHxHForPF3HCp5BYB2HOkLdtyOJa3jz6Y95/9sv6eyMqEnHj9+POfv7YknngAAtLW1hf5dylrDfX19WV/j2LFjAIDy8vJQ42zduhXHjx/Hb37zG+zZsyfQcw8cOABAWDUKNffI45SrDrGfAHgcgLwWagbgnK0nAPzCNE1uGMY9AP7a/WTTNG8DcJv134Kt9+X7IIhMpmY5AI7qKpbxubU1ix9edd0m9PSE99+tQLz+9u469PSk5dpcx6m5QYxd29CRdezpefGY007ajI6WcPvXvVnsGytvQE+Pt9wwNiUe01QPbNsa7nvV0pjCsUGgtmGzr89yeFK8t7NP70Cno/Ta5mNiX8orqmP7jtPvKRzzy+IYXnxOE/AvHMnRKu2f40Y5Vkf6xPd8cyuzOrMx8Ipu9HSp9QGvQByjHVsa0dPThCUmxp1frlD2Oc7McSwuc1RXAift6gJjzD5OLY0p9I36nxdyscrkPFuLnp61C7Sd7eK9lle1oKcn3HI8AExZ8+7pJ3WgZ7P3Pndzjtpqjpn5MtQ3daOpPth7e6ZfvJfONn/HIVEtHj84Eey4LXHr+Pc0es7/2X5Pcrm/oiL3eA89JJyiW7ZsCf19kt7hRCKR9TXm5oSsf9JJJ4Ua5/TTT8fx48cxPj4e+PkLC8LXt3v37oLNPX7mPT8WiAcBXG79fQWABxz3PQDgLOvvswFEax5NrBvcFSAkyiwQk/mzht3kWxrknGPcumBX0Qgjp9fYo4tT4HF8WDoki0scI5MiecpddYIsEMWDLG91xk6grEz4uheXyAfsB2fS6U4reV6HDcJdn1dHcwqn/cG9DK4y6S7fPKvCA8w5TyfB5bAnMMYi2SBGfYzhpKNFzI2jk8DCov/fmJ/34oVfD3CU5DSJzjrAEukDDpMIt2E8wKZpPgqg3zCM+wGcDuCHhmHcat33uHXfvQCuAfAljftKxEjWAFhRQkiYSSZfYDo9JzLr62qQtUpEkHFyBaYqyq0F8d/JmsNdrcIn6ISS4IoHeeHY1ig8kZxHKwvlxc9+x3H9Z1KBTvpR+cG9HB/5p1Qs7YnbmvQGwM42yEBmqTBV7y9XdQaVSXf5PcDMGiv8+5qdF8lpNVX5k9MiBcABvbllZcy+eAki2ITt8OnXA6wiAA5SBSJsHd4oiXADA6LN5XoPgH2VQTNN8wOum6533Pd/lO4RsS7IFgCrStAYzTMxe1GfRzFVkQAH+HuPUmlWUW7Nz4mub1Rs3U0wAFKAi4XFJY6lZXHBUlUpgoFjA0IF3rNF3Th/888c9z4KXHkB8LpL1L1uLj74VY4j/cCbXga8YKeeMUYdqy7pAFh9KTR3ecOKcoaaKo75RRHs1fvvKpsVrwQ4iUoFWI6TtQqEz4o3uQhS0jJKABxGNGmsFeea6Tn/9dplsrG73GQ+girAHR0dwQZwoDsJDhD2BQA4cuRI4OduGAWYKE30WyDENlAViDyBqQpVFsgfaDvHihJs2zU4fZx8ck3KFRQAFwUyoGmsE8vBzRqW1gFgwLpYevqo2tfNxdCE2B7WmO/irM6w0/L9arFAeJTBkkGpqgYVuQJTHQpw1jrACsYKEpimA+DgivOoZedoa/R/wRP0/aVSPGvHzXzEqQDnG2tpaQmTk5NIJBJobm4ONYZ83tTUVO4HekABMKGV/hFut/3VgbsJhkTFkhkQLQDOZoFQ0QTDOU6uwHRcRb3hAGp6MseynN0JjiwQ6xp5EpbBlLbyWtZv65lj8VggFpdEW3MAeL4v92Oj4FwC12qB8Ci3pboWcC4FWGU3uHz11uV3cTy3aOlvDF8BsDh/xGGBAIJ3uhuZFPNoayNQUxVsZcGvAjw0JN68zgBYqr9tbW12dYqgBOls52R1dTWy+hwXFAAXIfOLHKe/jeOSG/Wd4LyaYADx1o10U1/DrLG937cdlEasRu2nE1zYYumZ4/i/mEh3gVs7KZMFojiYcijAgJ7kqpWVdK3cuBRgZ3OK5/t1eoDFa7c2Mm0BcCrFPecR1d3ghifEe9nUvPb3LKsjTM4oaISRZ56VtXKDdktzEsTOpsQDHNACAQSvtR7U/gCsLwVYRQDqN6D3GjuVSqGtrQ0VFRX5n1BA1m+TZiIryWHR431iBphb4L664gQlqwfYsgdEUSfmFoSfrqpSJKz5JZ8CrKILHODPFzdmqe8tDeE/+yAXE7mW5SgJrjiwLRDW91j1sjogggSZp/XscRHQ6cbZnlinBcKpAHZaFbuGJ/y3EvfD+LTozthUD5Q7EmmVK8C5kuAUKcBLyxyTM6JyTHMWUWCbtUJ9fDD8OH7aIEtUVIEIIpoEPW7yQiCo/QFIB6VxVoGYnfV+YyrHCBoAF4v9ASAFuCgZcZxwdHVDWshqgRBbFZ6x9qa1JYBy4TsJLqIFot5PElyMHecARxe4HBYIUoDDc99+jotvTOFZjbYBtwWiqU6d0ieRS+uAsDFFCWz8kqEAa7RAOD3A1VUMlRXiOy/tWiqQn19Hc+btqu0qOZPgFK0MjDoCU3flGEl7k5jjJ2bC29pGp2SptfyPdQbAQStqxGGBkELDlhBxox/LAOc8lioQUgEOWwECyAyyZeMNP1AATGjFeZLTdcLJVwZtIsLkPBpAMXCSPwkuuioLpBXgmfnsk7QSC0QANV2W5vFMgrMUYAqAw/Pdezh+9TjwvV/oG0MeZ/kbalS8rA4AQ65GgHHYIJwK8JEBfarzqCvxtEmxKgukPz93xQC7nFYReYD92Myi1uYFnG3t88+7DbWiNNnCUub3xg9xWCB6h6TVLMCOWfhRTKemprC8vIz6+nrU1ARY/swyVrYAWEWQXVZW5qvcmhsKgAmtjMSw5JgtAO5uE9tkBM9YGP8vEF8SXHk5Q3WlWArNpi6pSILza4HgPHdmsp0ERwFwaGRg83yfPgVYKnq2B1iDBcJ5cQwAzxxT99rZcCrAi0tA/6jecWQApNqXC2wsBdjvPBvVBhG0PNm2EAH3yoqwc5SVZbdzeBE0aTs9zwYXUfwowCoS4ACguroaZWVlWFxcxPLy8pr7o9YAloTxAcsAuLOzM9LYcUABcBGSoQBrSjrJFgBvdSRNrK6GGztsAJzPAjGmKAkO8KE2Kwi2/VogJmZEIN5Qm06cc0IWiOjIY3BY4xK+DHSbNCbBybmh0so9efpoDB5gV5UkXatSY64lcB2fnyzn5g5Mi7EKRL4awBIZAIdVgIPUAQbC+YCd+R3Z7BxeBO10J4WdMBaIOLqzSRhjOX3AqqowRAmASQEmtCDbWwLxWyCqqxg2t4pga2As3GuHDYDznRhUKcCAj2Bb1hyOEGz7nZyloiYTf9xQElx05HdKp4dVqlBSldKhYA5Z1QUuOE38PxYFeDIzyNbxGa6uckzMAIylFUAtn182C4Si8o+AKBs3PScuXL3UTNUKcLYawBKpyB4fjEfQCBMAh7XNBb2YiJIEV1VVhfLyciwtLWFpacnzMaoCYCB3wK1qHAqAiXWHUwGO2wIBpCfMYwPhXtvuT98c7HnypDSYJfBWYUuQ5FNnVQTbfhthjOVRWEgBjo48zn0josygDtxVIGwPsAYF+NKzxPaZY+mqELqQCqC8QNOxKjU+Ld5Hcz2QSIhgVIeHOlt5MpVj5UsCjrvZ0LbNYh+Oh/UAB7RAdLWJ8QbG/H9PBq0Lk3zBvJugZTujJME5Vdl83twoXeAkuRTg9WCBoACY0EJGFQhNSScyCKiuWnuf7RmLIWnCyeYWoQANjgtPmBtVneCA3AHw/CLHwpJYZq6t1jOGk7E8yR+UBBcd5zHQVVnFrgLhUjBVeoClgrl3l+g0NzEDDE3oneblfHTeqWKrQwF2tycGHAqwBgvEWgVYbFUcq1z2B0Bdwp0tNOSZZ6N4gDnngcuThaklL5XZrQHjxiAWiOk5jqlZIfqEPYfkCxhVKsC5EtTIAuEPCoCLEKcCrCvpxG6EUbl28tyuKGkiqAWivJyho0UoQfJE5WTcmgdUWCByJdw5A+0o9Uedk3OukkDu7Hc31AkuOs6Tsa5VFbsKhKwDLJe6dSRxtQCnbRd/H0rqLfcuA6DzThO/BR0B8KiHyhhrEpzCYDtfAFxdKX7TC0uilm/UcfKttEUJgOcWxH7WVMF3PfowCnevJbYEVWaDjJV02B/Czuv5FGBVSXD5xiqkAjwwIJaGKQAmtOBectJxws5pgZBLZiE9Y2HqOUpkFQpZFkyyuiqyhBlLnxijkKt+pIoawABQVZmuZbrobRkDkF8BJgtEdJwBsC4fsLsKhF0Gb1bdKo4zuDp9h/j7gO4A2Pp+6lSAvS4C00qpuhWwoSxL7Y0aFOBsAgBjTGm99Xy2gSiJzUGaYEjCvLfeYbFfWwJWZwjTbCiM/UESpwKcKwCemhI/mJaWljX3BSFoALyysoKhoSEwxpTYPHRDAbBCxqc5/v1XPHR1BL/ICfR8ecLRsGRrB8A5LBDHYlaAgXQjCHcALOsSN9cHyxLOhpzQpV3DiRarhY+uc61Z6htTAByNVIpnKP2HNZVCc1eBKC9nqKsRKxrZSvsFxVnF4NRt4vtyuC+eAPjM3cIWNDAmuj0qHcNTAbYaicSSBCe2KqpA5FOAneON+xfe1uB3nq2pYtjULFaQpNfWL7b9odn/c8IFwGIbNDgNYoGI0gZZEkd93nxjraysYH5+HoyxSLWGgeAB8MDAAFKpFDZv3ozKSg/1bJ1BAbBCPv4tjj/4Pxz/dp++MZaWhU8pkQDOPlncpqN2aW4FWGwjWyCagz+3SyrALtuHyqAUALrbmTXO2s9WZbUJpwqYDXmSyTZeWRlDWZkIpHRffG1EZhcy/69LAZbHuNGxQqEysFpZ4RibEqsgbY3Ani3i9mNDiegvnoVUitu/h03NwA6r9Kfqz9DTA6zYQrK6yrOuTqlMgsuWaOdEViGQgV8Y0rkW+R8bdk4PI2aEsUDIihFbAoqKQZT7KBUgJH4VYBXqqBxrcjKzo4hMiquvr4/cIjxoAHzixAkAwNatWyONGxcUACtELqE8dkhfEOKccPb0WApPzBaIKB5gzrkSBbjfFZiqDEqB7FYLwFEDWEGw7WeJzuvk74ZU4PC4P3tdHuDJHAGwyuoCbY2iUsLubvH/Y4P6FOCJGdEwprEOqChn2GWNqToAlqXWWhvTJ3TVSXCjU+Iisq1JqPNO4laA7Uo7IUUGzjmGA8yz6VJowcYJY2cLk+QXWgF2lLPM13o5GdJm4SROBVgG0dJXLJFjy32JQtAAuLe3FwCwZcuWyGPHAQXACpHLmDqL6TuDR3mC02qB8AiA25pE0kOY/vGz88LvGiRpwkm3VULHHZjKBDgVTTCA7FYLIL5qE5J8CjBAtYCjID97WcZLR2UVznlaAa5N364juUou38tg9MRQQtvKgLs+6zaHn1QlXl5T1UlwdmDqETA664JH/Sz9BMDbLSU9bKlJ5zxbV5N/nl3PCvDiEsfQuFj1zFYLPRvl5Qw1VeLCZjaPzahXoQXCK2DknCtNgpOd1mTVBYkcWwavUQirAFMAXILY3aQ0KUhA5uSpS20BcgfAjLFYJ0wnXVmUWfUWCGscjwob49Nr1aiw5Eq2k/jpOkcKcHjk77arTQSPi0veFz5RWFgSx6aqUiQ/SnSW16qrYehqA5ZXmfKAVOJuTyx/fyp9uUDam7vZEQCptkBk8/8CQlGXQXBUv7ZUZnMGwFai8bGYmlOkawEHTYKTpdb8PyeoB1j+Frvb0jWgg+DXBpGr3bxfcrVDnp6extLSEmpra1FbW7vm/qDIKguy6oJkPSjAZIEoQeTEeEhjAOz0dXW3ixPq0LioYaiSXAEwEH7JLGoAnC0wVW6ByKUAq7RA+FCA3S1gvaigADg08rNvrNN3UWlXgHCd91S28/Vq47u7R2x1zUnuJfCmehGgTEyrnY/s+rzN6dvkZ6nKApErAAYU1uedEFs/CnBcpSbDChrp5ET/galTTfez0hLW/iDxM8cC6eMfVGV2kksBVml/ANIBsFsBLmQATApwCSMD4PHptEqoGqfKU1bG7KSTsEtl2ZizEoNqPKpAAI4JOmAzDLdiFJS0BzjzdtUKcFujsBWMT6/tDBZnxznAUQLKhwJMFojgyM++oTZtK1JtY3JXgJDYQZxCb6kzSLTfj64A2GVN0FGbF0h3f/RSgFU1EslnTVB1rPwpwGIbdl7PV2rNTZyCRlkZy1ln3Y0dAIfMG/NbCSLquQnIrQCrTIAD1qcFgjzAJUxGKSVNJxz3kpM88UQpl+NFvgk0bC3gIJnJXnQ0A2Vl4mp92dENbjxPqbCglJUx226RLdhWoTbnWw5cXOKYnRcBbkOOVTOyQITHGQCnFWC1F7BeFSAAtQHj0LisLpC+bbedKKvJA+wKGpo1NPcAvDu0qU6CG7KqM7ibYEhU1OZdXc2s1JENZ7fNMH50vzWAJbIWcFBBI0wdYCCY9z2yAuzDArGwyDG3IESP+giVw3Ilwan0/wJkgVABBcAKcQbAupYc0yqFOLHpOOFwzu16kJuzLAfaWcoBFYqoFojycoaOZpHUIFUhwJEEp0gBBrLbIMa0KMDeJzmntSNXSRs7CY4C4MDIE2NDDbC7W9bOVTuGVwUIIG0ZUNHMIZ0El/6e7LEsELoSc2V1hjbLDy9V2QlFQSkggpOpWfEdb3ac02urRWJU1I5pknQTDO/fmYqLFVlporUxt5+1roahvQlYWs6c5/wSdJ6VFzATM/mrJTiRwWl3wMSxIIlwvUPRqjP4sUA4rTyRunvmCBhVWyBaWlpQUVGBqakpzM+ng49CBcArKyvo6+sDYwzd3d2Rx44DCoAVkUrxjCxTfQqw2MqJTccJZ3YemF+UGcTej3EqFEHw258+F16BqUpV1h4nS8Kd2jrA4nPINjnna4MsIQU4PE4FuNM65l4NUKIgX8+tlKlUgL2W8HVZOiRrPMCKVVkgU/11BieMMS2fXzYPsAoFOFelCTd2JYgQPmB7ns1Ra9hJZQVDdSWwupq2v+WDc27X590acFU/yGcZVQH2Y4HwYzPzQy4FeGREnEhUBcCMMU8fcKEsEMXWBAOgAFgZ7mL6urpJuU9yzQqTaCRO9Tfb1XDYJI2oCjDg7QNW6ct1j5Ot4oTSOsBZvHD52iBLpAJMAXBwpPreUJsOqFReUALIuqKisgxaziS43mDKnl/isEDYyWnNa+9TGXB72Sw8x1IRADfnf2zYVTbnOEHm2aBVNcanRbDcUJteyfBLIAVYlQUix/vyk2jsh1wBo2xY0dQU4eTnwisALpQCXGwJcAAFwMqYcf2QD/XqGWeNAqzhhJ0vGxpIT0bJkWB1MeXEHCXRwKsbnOokOMC7G1wqxTPaLkclnzoRVAGmJLjgOBXgZg0rKkDan7u51bvBgi4Fs7URaKpLYWY+fb9KsiXBxTUfqSyFljcJTqEC7CcwjaQAW+P49QADjqDU5/sLq/4CwT7LsF3g7LF8tJv3arUdhlwKsEplVuKVCKcyAK6pqUFZWRkWFxexvLyc87HFlgAHUACsDOn/rbKUf11LjmsVYHFCnVTgIZTk8/8CYsmssU4smeUrL+PErrUYodh42prgSIKz5hsVquzacdK3Tc4KD19j3dpuUWHIVwXCrwJMFojweAXAyqsYZAniVJXWArwDOMYYtneIqyIdtqw1CrCGOsC55iOlCnAOpRlIB1ITM+Hn2iAKsF0LeCB8EpxOBTiOAHh5hWNgTCQNSuEj+Fj5ffZhOtp50dzcDAAYHx9fc5+OANgrEU7lOIyxnJUtnBRbAhxAAbAyZAB8Uo8IRvpGgLkF9d2k4vAA+1GAgXBlgaRlIsykKZHKbL92BVhsvbzGqsbJl6Dh125BneDCI5UhsZQr/lZugZBlvNwBsCIFeHlFVBcoK1v7Xdm+WVwV6bgodyvA9TViH2bnM6u0RCGnAqyokcjyCsf4tPX5ZQmCumQXSo/mOH4JFACHLDUJROzQFkcA7NMC0T8qBIeuNtFqOwxBPMBRA2BZ4mxwcHCN5UhnAKxLAQb82yDIAlHCyAC4uQHY2SX+1lFMf2VV/KBlNymtHuA8BcGDqlfLKxz9o+JqPkq3HXdgurjEMb8ogsBsSXuRxvHwGqtSmvN1ghud8td1jhTg8NiNMGpF45fKCpF9v7Co7gJW+kuzeoAjBsDOQNRdXcAOgGNQgBljgQOpfEj7iLO6hUSVh9pZnrGszPu3tsOa149GaD0/PCFL1eUP5qLUAg7lAQ74XTxhVWfY2hGhO1uesXql/SHC+cKfBcKqZhIhORsQwWJNTQ3m5ubWKKbFaIEA/AfAZIEoYWQAXF+TTjxRfcLxuqrX4bkbHJP1MHNPBkEnzL6R6FfzwFoPsDMBLkoJGzdxVJtQZYGgJLjwOC0QjDEtPmCpAK+xQCjwlQLeCXCSHZvFssAhxbWA5xbSF57O2qmqbSS+LBCKPr9s9gcAdtOhoxGaDgWpzxvWA7y6yu1SjUE8rUE9ztEUYH/l/6ImwAH+3peqKhDZKjMAxWmBAHJ3t3MiFWCyQJQg8iRaX6Ov9qbX8pmWrGtrnHwKcFD1KsqE6cTtzVVZl9dJc71QBKfn0pUCVI8lj58MdN34bbtMSXDhcQbAgPqLyoy62q7flKoALlcJr22WAnwkgnLphVN1dl542jYSRc154kiC82NNkKUfTwwFS/wNOo6ktVGsaE3NBmstPTEDpFJibgkiNARXgMU2kgc4jwVC/m6itCf2Y4FQVQUCyN6ieKNbIEgBLmEyFGCrmL5qxcVTAdapVjXnflxQ9UqF/xcQJ8KyMnEykd49QG0CHCBO6u6Sa6rHamsSS+4TM96ecRlk5FMmyAIRHncArPqi0llX291lqqpSKKhRLRe5Aqu2hhSA7BdZYdEd1EtyqbNNVoLTZITENMBf3kNNFUNnq/iNuUsj+iVIAMwYS5dCC6AChy01GasC7HOsEduaEHwMeyw/FogiDYDXiwVCNsEAgJ6eHiXjxgEFwIqYcSTSyKBJddkhr0lahwd4KMuJzU2hFOBEgtnLoQOjehLgJG4bhOqxGGO2op0cXnu/vZSZZ2KuIAU4NGsUYMUXlc4KEG6LjqpmDrlr5YoAWHW79GzWBOUWCJlA6DEfKbNA2F3gcj/O9gGHtEEECYABhw0iwHi2/9fnGBL7YsJHRaFUitv2BJ1JcKN2MB/e2ubLAqGoDBpQGAXYaYEoRAAsm2B0dHQUTRMMgAJgZTgVYF21RAc8Msm1eIB9VoEIWoJIJk1sC5E04caZoKayM9uacVx2i/Fpf0lpQZAJgUkPVanUFeCnj3L0j6hdSXHjrAIBqL+ozFYBQqKiFFqu5CoZAGurbOFWgBXOf6kUx3AO36wyC8Rk9kQ7J1F8wF5VfPIhg0uvuSEbflfw3ARRgIcnxKpFayNQW60vCU6FMhtnFQggrco6g1IgHZiqDICbm5tRWVmJ6elpux2y6kDbTwA8NCTULfneiwUKgBUxMy8m0PoaPUk0ADDoUUy/tloEPwtLohpCVJaW0+WA8k0GUjGYmvM3rioFGMgMTHV0gbPHcSvAGoJtu6lIFAV4AybBjU9znPMujis/oC8AXlrmWFwCEgnh9wbUX8BmqwAhUakAewWJsrLFwpLayhbZFGCVtXnHp0Wt8eZ6UXvcjbIkQr8KcIQAeMKq4tNYl67ik48wF2Nh59kg38Ooc7nfsewLhuZw4wD5/cacc6XzupcCLBtJVFRUoKqqKvogFl5Jd4VQgIeHxclLVZvnuKAAWBHOJDhZDF5VEojES0lijGnrhpStHJAkaAmi4woDYFkJon8UGJOqrJYAOLMbnG2BUDO3AEg3BXGrPAuLHHML/sq7bcQkuEO9wOIS8MTzagM3J7b9oSZtT1C9qpKtAoREjhfFopArCY4xPatSslrMZpdqqtICkc+OpTyJsDn347Z3ivd6tD/49zGo/QEIZkuQHJcrbZsDticO0Z0t7FzuWwF21ZkOQ121+A3MLXgnL07Nious+hrvi6ygeAXAOuwP7vEGBgawtLSEpaUlJBIJZYE2BcBEXuKwQGTLiFW5ZDuURdXxImgReqUKsAxMR7hDAVZnS7DHWWOBEFuVCnDPJrHfyeHMydmpSuQr77YRLRDSY8g58LziCgYSt/8XUN9dMV9dbWmBkb+PMOSyCQDp1RGVPmB7PnJ16JJBW5SOae4xsnZnU6Q2+23+E0UBDhcAi20QhVsmG8uqFUHHCqIAhy1P5rcKxIiCALisjNnJp17lJt21rKMSdwDsTIRz2ixUlQSlAJjIizMJzqkgubvBRGEgm+dOoWLl1/8LOPx3PsadW+AYnRRqZr7kOj84PcCFSIJTGgBnUYCDlOaxO8FtwAAYAA6e0DOG3QSjLn2bfQGrrIyXt1IqkY1zjoRQFdNjiG22QFFnbeM1SXCyHbLK9sQa7SNA7jrKTlQEwDrbEwOOADioBSKAFz1KEwxArLjIsXKdI2VwGsUCAeQOuFWozE4KpQA7A2BV9geAAmDCB04FuKqSoaZKqHFzC+rGyHrC0bHk6CMADtIK2VnQPJ+1wg/OwFRrEpyrG9y4dVJXGWxnS4ILEmxvSAV4KH1iPNirZwwvBVhnFQgvdnZZy+oRGizkUxd1KsA6L8jzzUeq6wDnu/CXVRnC1AKOogAHCoAtdTaoAhxkPo+6mldezlBbLVZ3ZrOUJ5t3WMDc5QODkqvlvMoEOMC7NFlcFggKgINBAbAinAEwoF5xWVzimJgRyTrugEiHAuzLAhFAMVBVA1jSZZ10hQdY/K1bAeacp4NSlQGwNUavawl8NMBYdhJcDB7gz/8rx4vftwkDo3qrM2QowL2aPMBy5UZnJ7M8VSCkqhi2UYWshV1Wlv1iSYcC7FWVBlBbB3gwRxtkQFy4VFeKICpfV7FsLCxyTM2Ki8jmPHFDTRXD5lbhtZe1wf1id4ELowD7PG6LSxyDY+I80dWW//FeY8XhAQbyl0JLl0CL3uFTvjevWtgqS6ABImCsrq7G7OysHZDK4FFlYCpxBtw6Am0KgIm86A6AnUucbgVV7ZKjv3JAQLxZw248FWANAXBDrfCPzS+KQGZ+UZwo8yWlBcFutjGWqSr5bYMMOJLgYlCAf/hLjqMD5bjnEb3jZAbAesbwVIAVJ8HZjRyyKsBiG1YBHrFev70p++qKagV4eUVcDJaVrV3S17Eile2zY4xFblHsVGb9BFphx8tVqi4bQS8mnCttiUSwoLG+RiSLzcznV7eVBMB5/M0qlVl3LoeucQDvygw6FeCuLjGB9PX1kQIcEAqAFeGsAgGoD4BztYTUogD78OkGaYRxIuSyXDY2NQuVY2QyrbDpUICBdID61FGx9ZOUFoSqSob2JpGJLE/4QDAFOE4LhAzMD5yITwE+EGMArPKCEsivAItgRZycw5QyzJcAB+i7IG9vWhtoqWyFnK+EHODwUIdsPe/X/iAJHwCLbRALRNBmQ2H9v4C4eGrIYRWQOFt7B1WZneQLgEcUKrMyWc85p0jGpmRt9+jjSOIMgGXr4d7e3oIFwCMj4sqCAuASZSZLMX1VJ5xsCXBiLHVZ6/mSaZw4M5TzJftFTZpw4+wGN6HBl+tEBsBPPi+2OpRmLx+wnJjbfHRBspPgYrBASMuJLlUWEN8nebJKJESNZK9W0VHxrgIhtip+u7msS5Lycoatm4QfMkjLW4mf36yskCIbuUQlV1Cv1AKRp4Qc4EwiDDeG3wQ4iR0ABxwvkgfYb6nJiFYzPx3aZuZFE4za6nBNMPyO5bRARGWLdd7pHV77/U8rwOpEjTgD4K1btwIATpw4UXALRHt7u7Jx44ACYEWssUAorgXs54QTtwJcVclQWSGCroWl3I9V7QEG0oEpICZjv8XlA49jqRxPHRWTp45A26sZxlgAa0dcCrDTB61LlQWE+rO0LD7r3d3itkNJ9ePotkDYQU8OewLgsEGECOL8BFa6VqS8L8jFdtLHhXE+8tlHgHQSYdgqGn5rAEt22EmL+pPgnNUL/HyWYRPgJH48x07LTRTitEBsyZJonDGOIg8wEG8A3NnZiUQigcHBQYyNiUBBpQLc2CgOwOTkpOf9y8vLGB8fB2MMra0KSjzFCAXACkiluJ3JWlstttpOOB4nAi1lh5r9Pd6vQhGlb3w2uh3Lb7rUX8BDAdZQbcKrFJrfNsgAUFEuTsorATPTgzI9lw6yD5xQW+bPSa+jzujJQuDQUgpt2upi2FCbDk4batNeyJWVaO/P7wXljggqpp8atqo9wLksWdVV4sJ4aTn/hXE+/MxHkRVgn13gJHFaICqsagmpVFpkycXxwXBNMCR+FOCg7ZzDjqXSApEt0RhQXwYNWNsOWWcAnEgkbB/wc889B0BtANzS0oJEIoHJyUksLi6uuX90VGSDtrW1IZFIKBs3DigAVoAsdVZXk1Z5lAfAVtelzrbs7UCjjpVKcd8F4d1j5ytoPpTjhBkWpwKsw5aQHkd85tIDrCPYtpthjDiS4Hy2QQbi6wTnzKKemk2f1FXjTOY5SVjctFgunJ3gJGVlLHCTl2zk8/9KoqiYfpKr1M9HYpvtfalozjO/yDE9J9o4N+U4n0cPgP0n/gLp9xzku7+6yu2qEUHnwCA2iLBNMOyx/CjAqgLgfArwJLfGib6yt8USXrw8wKqT4IB4FWAgbYN45plnlI9TVlaGjg7xAQ4Nrb2CKNYEOKBEAuD5RY7hCX1v1Z0AB6R9uSq6IQHZSw6JscQ2qudufFqoe031/u0Efjoxra7ydEKXwkmmy3ExoFUBtpRmOVFr8QB7KBTrsQ7w6FTm/w9oalBhB8AdwElbxHHWUQpNlkFzNsIA1NUC9rOED0SrBOFHWVSvAFvNPVq95wkVPmCn+psr6XSnZZE5MhBuRUImEfq96A8z3/aPit/m5lahkAchTLWdMElwQMwKcJ73paILnMSuAjG6tsKF6jJoQPwBsEyEkwGw6nJrXs09JBQAr2P+6zccdZdz/MVtCr/dLmZy1BKNw3OnSgEO0gTDPXauyXl8WiT4tDSkl+pVkKEAa7AleI0jxlLvNfZKggty0VBRAAUY0BkAi5PUlk1MqwIsL2qcHmBAXXtxvwpwlFrAdpDdnP0x2pJy8zSoiDKe39WolgaGpnpRC1gGTWHG8VufN8x7k8mN20Mos35rAXPO4/EAK7NAiHk0W/1mVV3gAHHRsal5baUdILPlvCoKpQBLy4WuAJgU4CJje6cIvg73l2sbw06A05RJDuQ+karyAAdpgyzxUzxd1YTpJm4PsM6xbA+wMwkuwNJcXAqwOwDW1aDCywOsI+nOKwkOUHdRmU8plRSdApyjKg2g5gIiSFOeKKXQgpZBs1XSWWEb88Mx67jKTnJB8KsAj0+Li4DGOqCpXqcH2LImBKhn7DlWXguE2KqyJniVQlteEU1QysrSn7MKCqUAS1QHwNICQQpwkbG7WyS0nBhKYGlZz8naXQECKB0F2E/7TF0BsLMGpU4PsLvWpZYkOJcCPL/IMb8o/I8ysTIXdie4mCwQTXUpADFYIDaJf9WVIugK2+0rG9kCYFW2Ir9JpV1t4lgPjQOz88Heox+l1BlE+Q3acpEvOFUxJwXJR9gZRUEPmARXXi6a43Ceu16uEyUKcJ7vYpQawOmxrJKaOax7yqpA5Dl3qLRAAOk5ttdDZGhtyF2lJSjudshxB8CqxyELRJFSXSU6Ba2mGJ4PWSg9H7oD4MUl0eo0kfCeDJwJO1FOblEU4DiWzNw4lVlZ51QHtdUso0WqjmC7pUEEedNzojKBU/3103Qj7iS4s3aL9P44PMBlZcxe0vVKYomCVETdLXBV/X79VoEoK2N2cKSjukAiwdBYJ4I2P61u85HP2qHUAxxEAY5iIQkw7wW9QDo2EL46Q1MepVQSNQEOiNcDLD9vaadxo9ICAXgrwDpKoAGidFhVVRVmZmYwOzsbmwVCEqcHuFibYAAlEAAD6SXU547reX3PAFhhHeBcbZABoUjU1fgvlZN9HGu51mc2NBBwwmwOuWNZkN3gAL0WCMAdbKt/fcZYRi3gIAlwQIwWCKuRwtl7lgGI2rwqFEUnziYY8jORn4OqutoSefJ1Z+ar6mbm1wMMhLNBLC2nG23k+16qCupXVkRSK2PZg255e7bgxg+DAeajHSGraMzOc8wtCPXdvQqQC7++XEkkBdjnxYSKADhOQWNrjsoMS8vqrQlbrEo7vUPp74iOEmiAmM97enrEeL29RW+BKGkF2DCMzxiGcb9hGHcahlHpcf9fGYZhqt89NZyi0UMIZKsCIbZxNadQ6bkLpgDnXzKTCpVqBbisjKHL+kx0JsEB8STcOW0QQdogA45OcLotENYJY+umVWxuFXVeVauykzOitGBDLdBYJ75fLdb3e1yRpQgAZuY4ZuaF8u6uAqHMAjEhtn5+U3YiXICVKmcwkm8JV5UPeHhCKMntTeLi24uozSmAcApwWPU8X6UJN0EtHpE8wD7mWAAYsEpldnmUyvRLnAqwU5F1V+9wroCpsiZ4NcPQUQJNsmPHDgDAkSNHtAfAXV1dGTV4C2GBKLYucICPANgwjLMBdJmmeTGApwG8wXV/A4Az9OyeGk7eKn5Azx3X6wHO1k0qarMAP8kgKj13qqtAjPioUxoWGZhqV4BjSLhzlkIbC7g0F58CLLYt9SmcbIkOqm0QbvUXUJ/EBaTVya62tcFPU130MoarqzxQgpVcHvdq15qNAau2rJ/GNcptHTne0y6rNFkU21mQi4ewFoigCXCSIBdIzuoMOhXgMI021owVowJcXyusZYtLa6t36AhMc3qANQfAMzPiA9UVADubYQCkAPvFjwJ8EYC7rb/vAvBC1/3vBfAPKndKNadsE1tdfkUvC0RVJUNNlQhIZKOMsAxmWaZ1IiejaEuOYhvkZOBs1ZkNXR5gALjpDxlefgHwIs2XYLotEECmAhykDTLgSIKLyQPcXJ9KV2eIIQCWAYeOANjrd6UiWBydErak1kZ/5f9sm0eY8lo+lEVVFxF+VqRUBMBB7CNSPT82GMySI4PsoEFjkFJoY1Pp6gzNIXIV4gyA8ynAnHOlvllpgzjhiqtUdoGT5PQAawiAd+7cCQB4+umnkUqlUF1djfJyfdWonD5gCoD94edoNAOQ09gkAHvaMwyjCcBe0zQ/YRiG55MNw7gOwHUAcOONN+Kyyy6Lsr+haKwoA7AZzxxdRTIZsl1QDvqHGgDUI7U8hWQyPUs11nRgfjGBZw4NoKs1Ffr1DxytA9CI2ooZJJPeZ6/O5iYAtXjkmXGc3h3OCNw/vAlAOfjSIJJJf1Li8kIVgFYMjS4imfSOvnsHWwBUg62MIplc20ox4/WWl5FMJn3v8++9QPybHBf/dFFbXgugCfU1KQx5TAIqqKsQYxw4OoOZmVUAjagoy37MnUxOiOMwPbuAZFLfBzE0Jr4j9dVLaK+fAtCIJw5O+9pHvzxxoAZAM5pr55BMijNhOeoBNOBYcgrJpBofxFMHqwG0oLluHsnkRMZ9q0vivoGR8J/nsyfKAWxCa/0Kksn8PpGUNWb/8Nr9ycZjz4m5ob1+FsnklOdj5G+qskzMEUdOjCOZDJ8s8MwhcXwaqrPvZ2IFSJR1oncYeP5oElUVwccZGO0AkMDqwgCSyfzzZ3tjB0amEnj4yQF0t/mbb597XryX+qr0d80PFWgEUIdjyQkkk7lLQTxxRHwPulqXkXSuv7vINvctL4rf9mCe72LfcCuAKmB5BMlkuB7UC7MJAB0YnfT+zk7OMqyudqKhJoXhoejzYHujODfsf3YUm+vT54YDR8Rvob5K3XzGlhmATvQOcfT2JsEYcDQpzt0VLPPcnQu/56imJhG9/+53vwMA1NXVBTq3BaWtLb1MOTk5ifn5CAlBLlZWVsAYw+joKI4dO2YH8qlUym6FvLi4qPX9BUUeJ+nF9sJPADwOQF4fNQNwRjl/BuAruZ5smuZtAG6z/qvHg5CHri6O6soURqYSqGvsDnUVngtWLibb7s1N6Olptm9vbUphcAKoqe9ET0/4MedXxOvv2daAnh7vS9W9ezi+90uOsdlm9PSE6zc8Mi3GOfPUzb7rSO4e4wA4Flaqsn7RZhbF656yqy3v55DvC1soTt8t3mdrY5m2/XvBHjHGxHwd5Erpju7sx9zJ5hPiuYnyaq2f3+ScOJabmhPYtbUJAMcK6n3to18WUuK97NlWi54eoWRs6xa3rbIG9PSokYWWIF5zZ3cNenoyTcAn7xT3Tc2H/zyfHRCv0dNR7us1dm0Tj19cXbs/2ZiYF8fjBbvr0dPjvVwgf1M9m8VjWUVL6DkCcHxuPbn3c9vmFI70AyuJbuwKOP+lUhyjVsLlmad1+lLQd/WkMDIFLDH/8+0SF+9lR3f6u+aHbvlZljejpye3RP3QYev7vKUi5/cg29y3a0B+L3J/F+Vv87Q97aHPN4lqMdbcovd3dr5X3L+pRc08eNLWFH6xH5hfzTw38IT87aidz5rqU5icYahp6EZbE8NSSnxmO7dknrtz4fccdc455wAADhw4IMZuatI6N5900kkAgMrKSlt9Vkl7ezuGh4dRVVVll3kbHR3F6uoqmpqatIwZBT/HyY8F4kEAl1t/XwHgAcd9ewD8tWEYdwE4yTCMD4XZUd2UlTHs7BRrwzpsEF5JcECBPHchBe7ZeY7ZeaDKIyEoF/mKmQP6kuDiRGZWB/UKBsFuhjESrAsckF727MsuMEWGc25bM5rqU/a+uZtjRGVgVAQ+nY7mEXL5XlVdbQDol+N4JA1JT2lcS/hAOB+/TPra0ZX7cUC6Pfv4dMSchDF/1Rmi2CCC2keA9DJ2EIvHscFw5cmCeMTtBLio3dnyCJTSNqDEA5ynNq+quXxrh/gcTwxlfo66ypO5bRA62iBLZEA4Pi5O4Lr8vxJpgVBtf5B42SCK2f4A+AiATdN8FEC/YRj3AzgdwA8Nw7jVuu+tpmleaZrmlQAOmqb5t3p3Nzy7u0QA/JyGANgrCQ6It5bobutCJ+wJ25kAFyYb2k8jjCgTc6ExTgVueSfDZ96tr96w7QEeDtYFDnD43HvX9rpXxfScaCVaXwNUlqeD0jHFpcn6rcSuLo/EQ11JcG62bBK+6oExYG4h3OcZpIoBEK6j49EAwZWqiwg5H+XKSQCiBcB+G4g4ifL57QhYnSHIWDLI3t4Zbu6w59gcY62u8sCVY7yorhQJtYtLov68G9UB8JYspdBGZbe5JrXzrZ1oLANgjR7gzs5OVFVV2f/XHQDLUmi6xvHqBlfsAbAvR7Zpmh9w3XS9x2O8TcDrhF1dUgHmANT+qLyS4AB1tYBlpneuE4482RzuE0pdkCAWCFcMHsivAC8ucUzPiTqlTXouTGOBMYYPX6N3DFGNQARdMsjwqwA31DJ0t3P0jYh6oDu71e+fWy1p1RCUAkC/R2CqJQkux+8qkWDY0clxsFcEcGfsCv76QerYAuEumI8FUoDFNo4kOADY1cUAcDzfF3zODXrxAOj//JwEUevjUIDHpkVputbG7KXp/MAYQ1M9x+ikSITb5Cp6ql4BFtsTQ97jqA5MbQXYGk9nFYiysjJs377dtkDoDoC3bRMqSGOjnjqdXgpwMTfBAEqkEQYA7OoWSV06FWDtFog8VSDqa4RKEOYEF3S5VtJQK4K2mXlv5dHu5tMUTFkuRSrKGTa3iBPZ00fFbUEm5lMtFfhZTQ1f3JUpdFkg4lKAvQJtJ1FXVfwGipKg88XkjGiCUVPlLyBRpgD7nCuiKMBBPzsg+OfHOQ+koHuN5acMml0CLUQNYCBzlS1bSU3ZnljFKpusuS0veL3G0R0AO88bKkkrzjxjHB0KMIAMX6zuANgwDLznPe/BRz/6US2v7xUAywQ4ZwJeMVE6AXCXPg+wzgB4aTl3G2QJYyzSCTusAlxWxmzrh1fpHJ0l0DYi0gYhvzNBJmZpg9DV8dCtluiwQHDOPcuTabFA5FlZ2WWpgocj2or8LuPXVAnbxcISsLDow1tqnYd2dPq7uIxdAY6QlxDKAlEfrHbz8AQwvyi+W36TfiVBWj1LBThsh7bKCobqSmE/ylZSU2WexZYsQSkAjEhrgqKa7s7mFM7ydTrKoInxmD2e6pJuXshawID+ADiRSOArX/kK3vCGN+R/cAi8AmDZ4EOX6qyb0gmAHUlwURtTuMmeBBe9mL48EWzy0enJPmGHqEQSVgEGHLUjPU4GGyEBLk6kR00STAEW349nNTV8cSfmNdSKC7PZeXGhpoKJGeE/bKgF6mr0JcGtrnIMTYjVi2wXfbutrHSxhB+coComYyxQYHXUCiz9KosqPsPVVe7b0+9UgIPOubIte0eAtuxBBYegn58Tv62y5xbE51VZkd8z7We8fMlpKhTgbTkDYLFVNZ/XVjO0NgJLy+lzBaCvRbGz2ZCYt8SFZ02VntXJOBVg3XgFwLLBh67EO92UTADcXM9RXyOu+HNVLAhDtqtVFQqwnXDiY4UhiuIyGOKEI8lVFF71ktlGp8dhpaqqFJOzX2wFWFPDF3diHmNMuQ/Yy/4AiIC4rEystiyvRA+2hydElYH2puxVBmxffcjSlmE6KwZZWg+awCWPm5xTwjAyKT63thyfm0Qoq0Ig8FpOz4WfyjduAgfAIRPgnGPlO06yKktXW7SWvk15ci1UCg3SlnB8MHsSnMrANFeDivZmdeMAmUl3uu0PQLwKsG5kADw0lL4yogC4iNDhWZxb4JicEcGKu0OY/L+7zWMQBgIos1EUqzAna4l8jgxenGyEChBx0tOePkm2NQbzTdse4GOq90rglTCi2pqQLQBmjCnz1AO5u8BJdke4oOSch+qsGCRx9tiA+J3v8FldYHOruKAanQSmZsNdRASZjxhj9qpUUFtWHElwUQJgv0lwdqvl5uBjeI2XLeBW0QVOIkvCxaEAA2t9wKur3J5PWhTHVc5gO2i7+TCQAry+Kc0AWGUijTxht64NVmRiRdD+9E6CWBOiKFZhTtYS6W077tEYiDzAwXAqwEHLGW3tEAHOwJhIkFLN6BS39iv9PVd9UZnLl6sy2O7P4/8F0rWAj/QHLy03NSusHHU1mVaOfAQJ4uwELp8BHGMssqod1CoVdlUqTE5C0AA46AWEk7oaYf+ZX8y9IqEqMLUtEFne24jCsmG2ApwrAG6OPMya8WQAPG5VtGiuj1bRwouWBjFHTs+lfz9RysblgwLg9U1pBcAyaUehApxNsQKAPaIsHw4nw/uOg/gIoyhWURRgGQC7i5kDaifmUsDpAQ6qTJSVMZxstYPXkQjnpZi0Kk6Ey/V7UhkA56oBLKmvZdjcKnyCQRuMhP09BQninElwftljJcoeChsAB7BkAeEvysPkJAQtOxlFAc7wa+c4VsoC4FgVYLGNSwGWiWm91vlDp2jCGLNV4McOifF0KsDt7e2orRVJMsUaJEpkHeChoSGkrA56FAAXETosEE6P19rxxLLtzHz6hBgUv12XADFxlZWJiStoUlIkBdjq5kMKcHSiKMCA3lJo7jJogA4LhPjednl0Z2tRVMVAjCO2eZs5hKwEEfb3FKS+bJgSXrtjV4DD2bLiUICDdNHzws+xCltdJ9tYcSTBpT3AmcLN6ipP26AUipm2AuxuTqHpnCHn2McOW+No9AAzxmwVuNgV4MrKSrS0tGB1dRVjY2IioAC4iFCtVgHpE2l3u/f9ThU4DH68ipLKCoatHSJJRZbe8cPKiih8zli4QNW2QHgoBnZyRnPw1y1FnApwmOLs6UQ4DRYI6yTr3C/VF5W5avPaCp8SD3D2QNtJ2NKCYauq+E2umpkTv9mqymC1cmWewOHQlS2CNfeQalufR35ANiamRVv22uq13TVz4QxI8624RakBLPFzrIYnxH5silg2LJ8FQmUSXGMdQ1O9sHc4f9fSmtDSoNaaIANg2ZxiVLNoklaAxVanAgwAL3rRi1BWVobTTjtN70Ax4E6EowC4iNChAOdSrIC04hJ1ydHvSS6MDcI5eSYSwSc2p2LghhTgYDTWpcvphVEm7FJoGhLh5IWjc7/SF5VqAu6cHmCFCrB9YZlnKd9WTEMqmMEDYH+lE6X9YVtHsOoCMqAPrQAHnI/ClF6TORM7u4IlgVZVinq5K6sieMvFyKSoqdtcDzQ3hAvmclW/kaiyJshSk5NZkhdVWiAAYKsVJDrndF1zuQxIpeVCVxc493jye9bWqNee94//+I8YGBjAySefrHWcOGhubgYATE6KgyQD4GJVt0ssABZf9LEpdepYXw7PIuA44YRVXEImnQQ5wYU9WUu2OkrLOIuZA1QFIiiMMXuJrjXExHyK9ABrKIXmXQVC7KPuKhBiLCgby7cFwl7CD/b60roUdOnbXsbP8x7D+lcje4ADzkdhjpkzAA6KXxuErAEc1v7gHCsOD3D6wmjtfZxz5cGplw9YWwBsnT9kMwzdFgjpOZbotEAAokFFsbYKdiMbXkxNiYNECnARodMCkS0A3iOXHGNSXOQSulyq9IO8ys9m48hHXQ1DW5NIFnJ6nXVMzKWAPIZhLBAyCe5gr9qGL6kUt383znJ/cVog0sF29Pc1kOd3KwmrmKbr2Aa7iPFr85C5Bz0Bz6vbNovqBb3DwOJS8M9Rd3tnIJ4AWCroYe0PgL9ucGE62nkhv6fJ4bX3zc6L7oE1VcEqjuTCa1VP11xeUyXOH8sr4vMamdCbOL3F9ZsJM8+WKjIAdivAFAAXAXosEGKbLXiMYoFYWhZJB2Vl/q9Swyhy8oQj1eMwbPOYMGfnRSmomirR8YfwxwWnCz/2vt3Bn1tfy1BbLS5GZufV7dPwhGjF2tYkvOYSlb+p+UVRU7ui3PukpFQB9umtD50EJ5XSgN2//CbBha0yUVHOsH2z8HKGKc8YpA4wENYCIQKgnV3B5wy/lSBsBThEBQiJn2OlSgGWpe5ylSZTucq2tUPWAl7bnlhHPoezFJruBhXui0bdCvBGoqlJXP1IBVi2QqYAuAjQUQc4VxUIIJrnzqke+PXmhlNcwp9wJF6JcNQGORyf/GOGwZ8wnH96uOOhY6VDfs+7Xd9z25erIjHNYUvw8n6qaoQxMyeSrKorhec6F51t4gJ0bCpYBzqZ0e5ubZ0Pv0lwMrkqTOfGtK852PNWV3m6sYPPALi6UrQBXlwSFzh+iMUCEaEGsD2W9TvLVnObc45hRcGpnF+9kpt1zLNe87nOrp7Sc+zs0KY7CU6iOwluI+G0QKyurmJ+fh6MMdTU1BR4z8JRWgGw4jrAC4uiY015IvtVZFebUEBHJoM3Jwi63AjE77mTuIuZA5QAFxbGWKSs8RbF33Mg7XV3r3SoVIDz2YlUKcDOGsD5kqzCdqAL+5vyO5b07YcJrGRlmkO9wZ43OiUqzLQ2Zq4C5IIxllaBfR63OAJgeUEn/adhaKrL7ssFRPnLRUXWhM5WsTIyPLH2QkJ1AhyQbT7XZ03Y4hjPToLTdN7oaBHnbAkpwP5xBsCzs+Iqva6uDmVlxRlKFudeh0R51yrHiTRbJnZZWfjuS6GKwYfIlJcJPlECYNk+09k/ngLgwqCz3vVGCID9JsCFHXdqVpQoq6703zBC4jsAjlC3e3d3uFJoUUu7+VklcJYn0xkAR038dY6VrzlF1BrAgDiPZKu2o2Oe9eruqXM+l5aL3mFul0HTFZiWlaUTjRnLzGkgcuMMgIvd/wuUaAA8OqUmQSjfCVsSdskxigLsV63inGvzAFMFiMLQqtArK8lqgZBj+ai9mo9CKMB+8FuZQRK2jBfgPwnODq6aA708AAWJfQF9zUEU4MExUcKstVHUow1KHBcQknyd4OQYqua/bC3ndSjA0rrTNyrqxAN6A2BnKTTdFggg/f6a68OV/ixVKAAuYmqqGGqqRLapigShfP5fSdjSQ0GaYEiCBgmjk2KprrEu2pWwp2eMFOCCoMfrLk6C3e2ZJ4uKcob6GpEgNz0XbYx+q3RYZ6v3CckZbEcaJ6wC7HPcKEv49TXCczw7n9tzHE0BFtvQiX0aFeCodiy/dZRVdGjLVwfYDkwVzX/bswTA0poQtdmGk6pKhs5W8buWvxe9CrDYHh/U3wkOSAfcVAEiGBQAFzkqgwPfCrBdCi3okmOwrktA8EShKGqVk5yeMYUTM5EfLRaIHNVOVHmO85Umcypuq6vh1WbZBa4zTxc4SdCLSmkpCrOiwhiz3+dUlqX1VCqdXBUmGJH79XxfsM8xXdot2HhBFODoAbA1Vo75b3FJVBspT6QfH2WsfBYI1QrwscHMY6Yr2dg9p8dRBeKpoyLorq/x7zMPgwyAyf8bDAqAixyViXBSsXKrYm722M0wgr1+mCXHuhoxsc8tiDJq+VDh/wVE0JJICJVowUrSoCoQhaG1QUPDlywWCCAdcKvy5mYLgBMJZldtmIqgNoe2QPi+qIxWVSXfeOPTIkhoqhdKXVDqahi62sRKWHLE//PkhcPmLAp9NoLkJcQRADu9uVEu+vOVQVPpAQaceRbe46i2mrlX9XS2KJaWBGkn0X3O2GJ5jikADoazDjAFwEWISnXMrwVCeu6CZl2HWXJ0Zq3HccKRJBLMvqrutUpA6SybQ2RHhwUiV71rVWXXcjXBkKjwAQe2QARMLI2iAAP5g7go/l+JvKiWv1E/yOS0oM0jguQlRL14aPLh11blzbXLoGVRgIfG1VoTttsKcObtuqwJTgV4eYVjYkbYc6Ko5tmormIZx0N3abKz9ojtqdv1jrPRIAW4yFFZI9WvBULePzQRLFFITnTb1vEJx4k7EY6S4AqD6jJoKyscg+MiY9prNULVeH4CU/ldko8NQ1BvfdAOdLpVTBUJXGHqN4cN7KUv18/np+qzy9mdbUJso3Zna65P14j2Wm1TVQNYEmcSHJCuzHB8kNu/7bbG7BWPoo+X/lu3aPKSs4Enbmf41HVkzwuCsxEGBcBFiI6yTV7Lwk5qqkQx+KVlkeHsh+UVjmODIugIq7gEUYCjVICQuPvHUxJcYVCtAA9NiPqvHS0i6S3beFFUWdlkIVuQLZF2ooMBV1Oc+L1wlfitzABkVlUJG8TlUzGj1ACWhFHSwwbAwS7IxVanBULFBQQgfgvdbaKrXq9Hi2JdHuATQ8IHLtE1zzrHi2Mudzao0G1NYIzhjF0slIWolCEFuMgphAXCWQze7wnnxJDw+fW0i+WhIASxQDyvyAIBODJ5KQAuKKobvuTy/6oab2hcBNntTd5BtuQkq4nDwd5w/mZnoO03AApigRgYBRaWxBJumDJeQH4V09khMixB56PxadH0p64meODodz5aWeH23BH0ot89VhwBMADssObNXB3aoirNkhrLJrC8kl7FWF4Rx6WsTH1FA2dlhjjmcqcCTN3Z1icy2J2enrbbITc0FG8h5dILgGWCkM/lzGwsLXOMTIqJx88VftDarFF8hH4Vl9VVbi+n7egMPo4bZzOMVIrHUs6GWIuqpDRJtiYYkhYFvym/quxJW8RYYRXg4Ql/gbaTMCsqUS4ofXuAo1ggAs5HR+R8FKJajN/5KDkiLvq72oJf9Eucn102u9mQbCOtwJsrA/WjHgGw6jrAwFobhLNphGprwjZnd7YJ8bdeBTi9/zq6zRHRSSQSqK+vB+ccAwPiS08KcBGhSgEedPgI/RTSjrOUkl/FJTki1ITNrUBttQIPsGNyHp8WgUZTvf9Ag1CDagtErhJoGeNF+E31+/TlphXgkOMETIADQlqKIgXAuWvZyuSqjgDlEd0E9TU/H8Eq5bcOsLQRBM15cFJdxVBVKexmC0vej1GpAG+3hINjA5mfI+dcizfXToSzAm6dyuxmq/3yyGR6VU9HCTRJhgJM1RnWLdIG0dcnghQKgIsIVQFwUB9h8ABYTKiybWkQ/CouqipASDIUA7I/FIx6qxTe7LyoeRoVuwlGlu+6bCvqzk4PQr4awJKTt4rtwd5wnefCNJcJUgZNhaUobxLchNjG6QFWsiKVZ6ywjTbc5Ovcp9QC0SnmZ/d3f3ZeBODVlcI2ogp3aTJdCXCAUJSlL3f/Qaume0wWCDpvrF8oAC5iVFWB6NMcAB+OdMLxp+4oD4Adk7POiZnITRjPeS7SFgjvi7GTI6qygP8LytZGhtZGEWDIoFnHOE6CKcDRq6rk6zCm0gPsdx6UF+S7QrwvvwqwDOyDtlrONl6+CwgV3txsFgjn/Bel1rAbp80M0C80yKD0kQNyHI3NKcgDXBTIADiZFK1tKQAuIopHARZbnRYIGdg4s2+j0FTP0FArghMZDNGVfGFQaYPI5wHe0SUU5+ODwPxiOMW5fzR3G2Qn0gZxIETAHVUBdmbfexG1BrBzvGy/30J4gKNckDs72+X6/KQCrKI8GaC3jJwkWxKc6iYYErcFQrfQIEWNZ46Lrc75vMcxv5AFYv0iA2DyABchqgIDecLOVwJNYp9w8vSol8SRBCe9hEFaLedDTpiPHNC/ZEZkR2UlCNsDnOW7XlHOsLNLlIM6nAw3RpALyig+4KBtkAGgvJyhvka8v+k8HeikEhhlVUUGAl6ltQCHgqmiDnAMF+Sygx/nuevzDsr5KGCnOTe5AmDOuRILicRp+3K2lVY5RsZ4MVoggLQCvLoqtjrn86rKtOUiyAoNES+yFvDKygoACoCLClWBQboEms9M8nrZnjb/Y8enRdeduppwE5tfBXhQoRIi2bZmyUzdaxP+ibvcn9ObG4Yg7YntShAngqvNYSwQgD/FlHOes2OeX6SqeLR/7X0rKxyjk6KMWxSVLIgCvGLVJAfCV4vx4wOWyqwyD7BHADw9Bywuibm1rib6hX91FcPmVmBlNf07AfQFpumkO7EdmZRCgx5rgrRcSHTP59/5MMMd/4cFukAl4kUqwBIKgIuIuhqR2Tq/GH65FtBrgZBqy+7ucP4xv2OpSjpxIhWK/YfElsrZFAZVKx1LyyKbvaws94WSDIAPnAg3TnwKsNgGsUAA/n5TkzOi+kB9TbSqKu1NQG21COAmXD5+6flsa/RXfSYbQeYjuyb5pujlyXKNp+qCXI7ldfGnwj/tRl4UOBPh7ABYccDY3iQS6yZmgKlZPZUmnDgT0wC9VSAA4CVnM7ztSjpnrGcoAC5iGGNqyjYFVHqCnHDkMnJYH6FfC4Q84URNOnEi22fOLYj/kwJcGFStdAz4LPcnVdkDIVRZzrnvMmhANLU5rALspxKEqt8TY8wzqALUeUsD+ZoVlHbzMyepuiB3tvB1o9L/K3H7cgFgWNYaVmgvA8R3I84ObWsCYJrPSx4KgIsc+aM+4rHE6BedVSCedxSdD0NQC4QOBVhCVSAKQ2tjsDqv2ciXACexFeAQQenEjFiWrq8B6mv9J8EdSuYP3tzoVIBVrqjIANg9R6nw/wLC19xQK3y5Uzl8uUA8iX2AuioQ8rPzbE5hjaFSAd7uMZ6OJhj2eI6AW3sSnCMArigHGmr1jEMUDxQAFzmnWCfr546He/7KCsfQuPDh+T3ZBenO9bxVSmlXiBrAQDrrejJH1vWyw0uo8qreHQCTYlAYWhR73fMle0YphRZUlW2sY+hoEXVWsyWKeTEzxzE7L5aQG+uC7aOvAFjhBeXOLD5glYGV34tyuwRayPnIOVY2BXhhkWNyRlQTaY54PpUeai+BQ4cCnK4FnJ5rdQamcZabbKoXF6aAmMtVlnQjihN3AFxXF3AyXUeUZAB88tbwy7WAUBE4F5NOedB2qn6K6UdUXPyoO3LibG/y/x78sC1mzxjhjbJ61z4V4J5NQE2VUEEnfVY6kfhtguEkjA/YGWgHPZH78rBKBViBpUgGVUddHcZsC0Rz9DH8B8Biq1MBdirbUVv62hcPOdoTK7VASAXYEXAPW9YELQqwDLgHuHYLhNNyQaXJCCAzAK6pqUEikSjg3kSjJANgWwEOmbDjNyhw4jzZ5OtgZSfB9YTYOY/xvNCRAAeIQMgZW5ACXBhUVYHok+X+sjTBkJSVMeyxvq9BVeAw7YltG0SIADio/QFIN5fJ1p4YcJTxUlhf1h3EqWiDLPF7UX7CKrnlvrgNNla+9s5iq+Kz62wFqirFxcLMnPsCwvr8mtVd9NuWBI8kONV1gIH0cXjyiGhlX18TPjnRD9IySGIGAWQGwA0NDQXck+iUZACsLGM9wIm0xtGjfn4x++NSKa7ohCO2+bohqUyAA4DKCmYHGGVl0ZcziXCoqgLh1wIBhE9OC5OYJi8+5ffYD3JJfEcIb30gC0TEOrZAdh+rKg8w4L8WsHxfUWqz5lOAVSbklpUxz6AUUPv5SaQCfHwwLW7o9ABLRfbh58RWt8ggxyMxgwDSdYCB4vb/AiUeAB9KCj9vUELXEvVxwhmbEjUlm+ujXdXnPeFoUoABZCyZRV3OJMKhut61n9WOsBeWsqmM35raANDaIOtq+//9HkqKx+4JsbLiRy3VkQS3VgEWWxXltfxaIAYUWDvyVdFQ1QVOku/zUxkAN9SKykILS+J9zM5zzC8KFVr6Z1UiA255HtKdaCyralAATACZCjAFwEVIXY3oOLO8slYh8EPYYvdBVKQwy7RBxtLRBEMiA2CqAFE41FkgxNbPdz1sKbQgTTAkYd7fIau84J6e4BdldgDnSwEO/PJraGsSNcsnXbWAVS6t+5mPZuY45haEvztKBYB8Yw0p/OwARxWNPu9xVM97zrJ1zhrAOpLGtsRsM3vjS4GXnQu89XISMwgKgDcEUq0KUwmibyS4YgX4y8xXobYAfhQX9W2QJdK6QYpB4WiuFyfJiRlR8SMsQS72wpZCC+PNDZPklw6A/T9HErcC7KwF7FVeS00AnL9U3oDjPUUJ5vLOR4rbsu/s8k4itFsUK56bvEqT6RAXAGEzc14s6hYaTt7K8PO/L8ML91IATFAAvCE4ZZvYhvEB62ynOhiyTmnQsXQ0wZDQklnhSSRY5HrXC4scY1Oi/qefDHCZfX884KqK9Lz3bPL/nKAKMOfc9ibv2eJ/HEm+3xPnXNnFq8QzAJ4QW5UKcK7P0F6RiuD/dY4V14qUVym01VVH1YRmNeNInLWAdZcmAzLLTdJKGxEnzsQ3CoCLlFOsUmjPhSiFJrtWhbZA5FCRBhSpSPmyrnV6gC8/T2QOv/pFpBgUklOti7xnj4V7vvNCz4+Xu80RlOardCJZXuE4MiDU6t0BymwFDYDHpoSdoKE2XMCQT8GcnhMe0Joqdb5PdzOMxSWOqVk1tXIBn/OR9R2IOk/I5/eNen83VFaBALxLoY1NA6mU+O5UKCz9CDhqAQ/wtMrcrHSIDJwJ0tRunoiT8vJy1NYKPxQFwEVKNAuE2AZVgFt9KMADljWhM6C9wk2cWdduTtvBcPwHZXj7y2liLiRylSN0ub+AXveqSoa6GpHEOTPv7znHBoDVVeFrDJL0GdQC4bQ/hFnKz1fG0Llyo8r3aS/jW41xnMqiijH8NOcJ2znPTVuTuDCYmvUeT2UNZSCLei5V5mY1YzjZ7uUB1jCOezzd4xCEF9IGQQFwkWJbIAL6FVdXeehEtfRJNEctUUXKrAwQRrMoZKoVF2L9ceo2ESQ9eyycBzhICTSJ/b2b9Pd4aUs4KaAtwbl870dtPhTB/gDkL2Oo44LSHcSpTuDyU5XG9uZGfF+MMbuRxvN9a+8fVBycdrQINX5sCpiazSxNpsObKz3AwgKhvtawm20d6dcmqxkRNxQAFznbNwOVFUByeG2x9FyMTArFqq1JJCMEIZ10kv0xqhQX6f/0qnKRSnG7U5GuRA2i8ERWgEM0fAlqTQibmFZdxVBbLdTmWR9qc5QEOEkuG4QOS5G7GYbt/21W8/p+chLS81H0YG5nlhbFKyvCm8uYOjXTK4lQZwAsj9WxAb01gCWkABOFhALgIieRCNe5KowqJomzDFoutWV0SgTxLQ3Bg3iieLA9wCFsPkC62km+LnBObB+wT2vCwV4xhiyhFoQgNoh0DeDw33f53mSA42RQw4qKM4DjnCsPrIIk5ap4X9nmpNEp0ba9rVFtW3Z3KTTVFxBOmuuFv3xmPn3BSUlwxEZFNsOgALiIkS2Rg1SCCFsBAgimuERdcuxuFwr30PhahVtnAhyxfuhuF77L0UlgZCK4DcL2AGuszxvFmhBkLLsCRAQFOFtzBUCdVcBJa2PaNzsxo768llPRTqW8vx+qVqSAtKf5SL9rPtKkzLoT4VS2kXbDWLr73P6DYhtXAEwtiom4IQV4AyDLLslJ3g+HLTVhR2fux3mRLwBeXeXKTnJlZcwzExrQmwBHrB8YY5FsEKEsEHm8527CeoCBYAGwbYEI6QEGcq+qpC8q1QVXGcv4/eoDuPJyhoZaob5OzXo/RuVcke3z03VBvsNVC1inBUKMJ7YLS3rHAcTFyzknA2fspHbzRPycccYZAIDTTjutwHsSjZIOgO0TaI6kNDdRlmzzBcAjk6JMT1uTmjI9MgDOdsIh/+/GR9ogolQ70eUBXl7h9sXZrgAl0OyxfFogxqc5RidFUlSYlRvJrm7xm3y+z6MKhKaLSqcPWMcSfq45KaO2sYK5IpsHWHUXOIm7jJxOCwSQToST6FSAGWN46FaGR77BtHSbI4hc3Hzzzejt7cWLX/ziQu9KJEo6AG5rFBOH34x1IK1YyTJqQWjJc8JWudwIALuyBcBUAaJkOEVWgjge3gIRJGiUv6mxqfzjHRsQSWxbO0SVhaD4DbYPRyyBJsn2ewI0qpiaGyzkCoCnZoHFJdGSub42epDlbBe8upr+fqiuACFZa4GwxtGlAHemP6PKimito/2QSDDl9YwJwg9lZWXo6YngJ1snlHgALLZ+l2uBtF84zJJtkFqiKrAVK7fnTmMbZGJ9EbYZxsycaLpQVZn+3vqhNUASnLQlhPktAQ4FOM/vV0UFCMCxhO/RWU+bAtyZrgWsI4DL1QxD9QV5bTVDZyuwvAIkR9K32/ORgkoTTpwKsDOJUFcA7K7MQMosQaxvyv08yDCMzwC4EMBxANeaprlk3f4KAB8GkAKw3zTNG3XtqA6CJuwsLYsl27KycEu2opYox+ISMLcglBUnKpcbgeyeO7kUSB7gjc+pIT3A/Y4EuCAncvmb8rOqEjUxrbWRAeCWhSn7Ph61AlapCIbFuYSfSvGM7ni6VlWcQZzKNsgSKQJIddmJDlV7V7eY557vSydy2fOR4s/O2XxjYkbP5+fEaYHQZbMgCEIdeRVgwzDOBtBlmubFAJ4G8AbH3U8CuMQ0zRcDaDUM4zw9u6mHoAqwOPGJNpRVleGu7nOecBSVQJPIANjtuaMqEKXDni2ivurhPnEB55egXeAkgUqTRfDTA/4vYPtHg5dz86K+lqGjRTTD6HMomLPzHLPzQi1vrIs0xBqcy/g6Opm5fbJOVCvAgLcPWFdOgjOJ8NljUNpG2osdjgssKk1GEOsfPwrwRQDutv6+C8C1AP4FAEzTdKbWLANYcT/ZMIzrAFwHADfeeCMuu+yyKPsbmuXlZSSTyczbFhIAOjA8voJkcjjva/xmfxWAVmzvWEQyGaB0hIPu1jb0jVTioSdGUJFayrjv0LEGAPWoTkwhmcySlh2AKs4AdOJwkqO3Nwkp5PUOtgGoBFsdRjK5HHkclXgdJyIaWzdtwvGhcvzm0UHs6Vn19ZwnD1QDaEFL7TySyYk192c7TisL5QA2YWhsGUnnOrcHTxxuAVCNlppRJJMe7dXywJfFPiaHFpBMehTntXi+txlADarKxpBMLgQex8mW9jYMjVfit4+PgJ0mfr/HBsU80t64gr6+/PNIECohfsMHTnAsLjNUVXBMjPVjMvvbXUOu31RrbS2AJjx+cBbJZKZs/9wRcV995SySyQA+sRy0N9QDaMBjz00huU/4LnqH2gFUgK2on486W1rw5JFq3P3gBIAmtDWuoq9vSOkYEs6B6spOLCwx1FV6/25yQXNfcUDHqTiQxymXV9lPANwMQC6iTwJYowcYhnEugHbTNB9132ea5m0AbrP+G64nqwK8PojaRg6AY2K23Jehe+xX4vFn7K4KbQA/bWcK5gFgeqkdPa6i/DNLKQDAKTub0NPTHOr13bQ1pTA6yZCo7kaXpYCNzYhx9p68CT1d68unlu8LSwTnlG0pHB8CZlc3r/nOZWNmWXzX92yrQU/PWlkz23EqqxLPm5yryHsce0fE9/DCfW2+98vJSTvEWPPL1TnHmpgX47xgT2uocZycuj2FRw4C08vp3+/xcbEf3e3+5pEgdHOOhlqO6Tkx1uZWhi1bgo2R6zd17gvEvg9M1KKnJ1MaXUiJz233tnr09AQwgudg38livJGZBvT0iGL643I+OmUTejrVzken7Uzh548AB/rEWF3tCa3zy/bOFJ47Dmzv9v7d5ILmvuKAjlNx4Oc4+UmCGwdgLTaiGUCG9GkYxhYAXwTw9sB7WGCa6oSfd2pWlGTKR5QSaBKZSX44RykllUuOdua6teTIOScPcIkhl2ODJXuK7+fJW4O2+xbbsSnvRE9JKsXtZfAwfnrAvwViIELzGjdpX/3aKgY6fk/OZXxAvU1gt6/axurGc+clOOcjLS2KrYD6t89YYzSrHyNzPGscSjAmiHWPnwD4QQCXW39fAeABeYdhGPUQdogbTNNUu/YXA2VlzPYs5urOJolSAk2y21KNDnusoKjqAufEfcKZmBEexobacKWniOKjTYhfgcr9HQj5Xa+uYqitFuXNZuazP254QjymrSn899Cv37jf+l2pCYBlLeD0bbo99RkBcLPa1962WYgAJ4aAxaXMC5Y4PMC65yM5npxvddc+P2On2O4OeVFHEER85A2ALVtDv2EY9wM4HcAPDcO41br7JgC7AXzFMIx7DcO4VN+u6iFI1nqUEmgSOTEezqG4KFWAXYlw1ASj9LDrXfuozSuR3/VTQlzstflQZu2W4hG+634U4Ok5kaBWrShBzauyiu7OijqTqyorGLZ1CP9qHB0je9qBinIRXM8tpEuTxXHxAOhXgD/6dob//gzD6y/ROw5BENHxVQbNNM0PuG663rr9UwA+pXqn4sRvJYj5RY4TQyKLOEwbZMluy5LiVoCXVzhGJoUa094U/vXd7OwSpaLEki2jJhglSNBqJxPTIjCprQ5eBQIQgemJIXFRuT3Lb6VfgS2htlo0HJhfFL9PLwXROY6KuqxuSxGgv662WMaXbZDVv/7uHhH8Pt8Hu3U2kLaOqLwgTyQYtm/mOJQUY45MiNt1tyeW6LYmNNYxXHmB1iEIglBESTfCANLLw367Se3sAsojdN/paBH1fydmRItWiVRCNjWLk4Qq3IqVbsWFWH8EtUA4VzqctW794seaoCIAZiy/hUml/xcQFwSVFWIlZXZe/H51X1RmWiDUB3ByjnBelHPOtSnbzjlJ92fX0sDQ5Mjto/JkBEFISj4AlifQfOqYCv8vIE7au1y+NECfj9CtWA1q8BkT65ugCnBY/6/EjzVBRQDsZyxV40gSCbamdq52C4TGJDgA2G35mp2JuePTomNbY516b67TBzyk+bMD9H9+BEEUJyUfAPtVx2QAHMX/K/GyQehIOAGArR1AIgEkh4GFRY7Bcblcq3YcYv0iv+MjvhVg8R0J4/8FHB7gHApw34gYo6stWnAVdwAMrF1V0Z0Et9ORUKVDwZTzUVyJfelEwnjmI2cHQOrQRhCEpOQD4NYGqzbudO4Eod5hcf/2zdHVEK9EOB0l0ABh15AtOo8NOtUqqgBRKrQFSPQEgOes9jZBS6BJ/CSW9ofsNLdmrDx2C9kFrlPh991eVZEBsGYVs7k+ncCnQ8FMl2ZM36brghzIVIDTSbn65iNSgAmC8KLkA2C/CrBsfapCSUqXQksH3TpKoEl2Ok7Y1Aa59JBJlfFZIKyLyhxVJ1SVJsunAA8oGseJrWD2cywsckzNisoGLWp6RayBMYaXniOOY1QLlhdOBVjWbtYZ1DsVdLsmucb5aIejuQZ5gAmCkFAA7GO5FkgHwFEVK8BRfN6RST6gQamSeCadkAe4ZKiryayWkAvOuZ0EFzoAjikJLmOsAlkg5O+po0VNlYls/PAWhhM/YGioVT9GUz1DW5P4fsikQR0VICReCrDO+UiOV1cD1NXQyhdBEIKSD4D91gFWtWQLeGdd68yG3tXl8NyRAlxyMMZ82yD6RoC5BaGUtTTosUBwzhUmweW2MGkPgGP6PZWVMVRrbFzjtkGkvbnqx2xpAJrqRaOUp4+J23RaE6TCHaXmNEEQG4+SD4D9ZMhzztGn8ES6vVMkpvUOp7sv2Z47hSdqyS6H4kwKcGnitxJE2v8bfaxsCvD4tOj+1VgH1FarSYLLluDXr8HL6lQwBzbIBaU7MVfnfMQYsz/DyRmx1fn5nb4D+L/vZPj8jaT+EgSRhgJgH3WAx6bECbupPvoJGwAqytPdl9wd2nQsOcoA+InnxTJndSVQX6N+HGL94tfrHtX/C8RbmWFrh9geG1h739Iyx6jVXEal97OxjqG9CVhYAvYfErcV+wVlOjHX8gBrDux3OSozVCnq0pcNxhg+cg3Dq19EATBBEGlKPgD2UwfYtj8oVENsxcVactSpJO101R3e3KrXr0isP/wqwLIE2slbwn8/WvMowCoTSvdYvyNZptCJM4hT2VwGSF9U/uapjVFWUCbmPu+aj3RckANrS5PRfEQQRNyUfADsJ0FIZQKcZLfDR7i4xDExI9osy+BBJa2NmQpLsZ+sieD4rQV8fFBs3S1kg2BfVE6mqwo4UXlBuatbKLzHBoXi6zWOSv+vc1wAePApsS32soK7XKUZdVulZCUNnWMQBEHkouQDYGeCULYlW5X+X4mzFJozkzxM69l8MMbsExxAAXApEiQJDgB6IlzsVVcx1FYDK6vA1Oza+1UGppUVos51KpW2E+kYx438PU3E4GGNg92OxNxUimtvUexUgIv9syMIojgp+QAYcGStZwuApQKsMpPckXWts+SQezyAFJdSpL1JXFiN5qjNC6Qv9no2RRtPenOPenhzZXOKqF3gJNlsEDoS4CSysoqk2H9T3e3Cizs8IfzUq6uiAUdVpR5l23lBTs0pCIIoBBQAI786Jk/Y3e3qTgbOrGvdagtAikupYyfB5fAAp1JcmT9Xtgz38uaqVmblWIdcYw3YgbaacZw4Azig+H9TZWUMO62Oab+xbB06L8hld0qg+D87giCKEwqAkT9rXWXSjsTuvtSfDgh0lBySZHruituvSATHjwVidApYXhF1Wmsi1pyNMwDeYyXsHezN5gHW11xGojNYjAs5Jz3whJXYp/E9VVcxe5VBR61hgiCIfFAAjPwZ8n0Km2BIGmoZNjUDi0vAowdlFzh1r++GPMCljZ8qEMlhsY3i/5WclCUoBdR76rMF2zo9wFs2iaRVQNT01pG8GjfSB/zrGBRgIL0qRRYIgiAKAQXAQN4kOJVd4JykFRex1amEZATAG0CtIoLhpw6wymon2YJSlV3g3GMdSmbeLj3AOgLgRIJhh2UZ6GjWk7waN3KV6PHD4v+6L5SvuZLhjJ3AS87WOw5BEIQXFAADaLMShIYn1qpVnKvzRbqRiWlPHhFb3Z47WWqzo1nfOMT6xI8CrHKlI1sAPD0nWi3XVqtrfrCzy7sUmu7kUnlRuVEuKOUFeSoltp0arCNO3vUqhifuKFOaW0EQBOEXCoCRTshwl1EChGK2vCIyoqP6It3IE44slarzRFpVyXDOyeJ9bO/UNw6xPmlpEBdAEzPAyop3JQiVFoitHaKqwOAYMDWbHs+p/qpqfuBVCi2V4tqbOdgB8AZZwt+9wRL7CIIgckEBMNJtXw/kSNhRbX8AgN3dmQGAbs/dvV9keO5OpqSdM1FcJBIMzfXiYmt8xvsxfSPqqp2UlTE7oHJWZ9Dly3WXQhudEnWIWxpEwpUOpGVgowSK7uYnGyGxjyAIIhsUACPTQ7i6mqmO6UiAk0gFWKL7hFNfy9BBGdclS75KEHYNYEXfdS8bhK4A2D2WzgQ4yVUvAa44H3jHKzfGb6rGUZkB2DjWDoIgCC8oAIYIDLvaREWGE0OZ9+ny/wKZS46VFUBTvfoxCELS3iy22XzA0gKh6mLPa2XFDkwVB1eyFNohq+rEQAwB8I4uhrs+W4ZLz9oYATCQOSeRAkwQxEaGAmAL+2R9IvN2HV3gJJ1tQE2V9XerOk8kQXjhVwFWFQB7lUKTNgvVtXmzKcAUxAXDuSpF5ckIgtjIUABskS0A1tEFTsIY23CJNMT6JVcliOUVjqFxUU1B1Xdxo1sgNiKyxXNbE1BRThfkBEFsXCgAtjjZUqsOuAr3q6yN6oVcciSlitDNpmaxHRxbe9/AqEiQ29wClCsKfOIMgGUptONDwOISty9cdXSB28hIBZguyAmC2OhQAGyR1QKhWUmSJxydbZAJAgB29+TvzqbyQq+7XdT7HZ0ExqfFmLqqqrhLoelsgrGROf800dnu7JMKvScEQRB6oQDYIrsFQmx1eIAB4KXnMJSVAS86g5QqQi+nWN/x506svU9lDWAJYyxdnswaU2dgKsc6lIwnCW4jsruH4cT3Gb71VzQfEQSxsaEA2GJXt1hCPTogllABUUxft5fwVS9kmL6L4ZqX0wmH0Msp28T2ueNr79Nl9XHaIOYWOCZnRMWT1ka147jHoiS48HS1M/L/EgSx4aEA2KKygmFnl/BBHu4Tt41OiS5wOovpA6DGFEQsdLcDdTXAyCQwNuWudy3+36M42TMdlPKMoFRHxRNn1QmyQBAEQRC5oADYwcnWyVraIHQnwBFEnDDG7O+4WwVWXQNYcvJWGZTqr8ywx3pvjx4EZudFicHGOj1jEQRBEMUNBcAO3D5g3f5fgogb2waRJdlTlwXiQAwBsBzLfDY9DtXWJgiCILygANiBVKsOnBDLwaQAExsNOxHuuHe5P5VJcIC3L1dXACxLoa2s6h2HIAiCKH4oAHbgVoB1tkEmiEJwyjZxkbfGAqHpYq+jBWioBSZngCeet5rKaKrNK0uhSSgBjiAIgsgGBcAO7ADY7ialrwscQRQCr1Jos/OiOkNVpfrqDIwxWwW+7zGx1XlBKcfSPQ5BEARR3FAA7GDLJqC6UnTKmpzhaV8knUiJDYK8yDuUBFZXXc0pNHlmT3Ill+oMTGUtYDEOXbgSBEEQ3lAA7KCsjGV4FskCQWw06msZejYBS8ui5jWgz/4gcaqygG4FOB300u+WIAiCyAYFwC6cPmBKgiM2IulEOLHVlQAncQalgGYFmCwQBLHuSCQSOOuss3DGGWfgqquuwtzcXOjXevvb344f/OAHAIB3vetdePrpp7M+9t5778Wvf/1r+/9f+9rX8O1vfzv02PnYsWMHRkZGlL2ezv2/4447cNJJJ+Gkk07CHXfckfVxf/Znf4b77rsPAPAf//EfOPvss7Fv3z6cfvrpuPXWW0ONHfRzuv3223HjjTcCAL7yla/gW9/6Vqhx3ZQreZUNhFSrnj3OMUDF9IkNyCnbgHseET7gV1ykrwawRF5UAqJKw6ZmPeMAmWozJcERxPqgpqYG+/fvBwC85S1vwde+9jW8//3vt+9fXV1FIpEI/Lr/9E//lPP+e++9F/X19XjhC18IALjhhhsCj1FIdO3/2NgYPv7xj8M0TTDGcO655+I1r3kNWlpa1jzuwQcfxBe+8AUsLy/juuuuw0MPPYQtW7ZgcXERR48eVbI/QXjHO96BF73oRbj22msjvxYpwC5kKbRfPynKKbU1AVWV5CUkNg6nbJWVIKxyf5qTPZ1B6eYWIJHQ93uSpdAAunAlCDeMMS3/gnDxxRfj0KFDuPfee/F7v/d7uPrqq7F3716srq7iAx/4AM477zyceeaZtrrIOceNN96I008/Ha985SsxNDRkv9ZLXvISmKYJALjrrrtwzjnnYN++fXjZy16Go0eP4mtf+xr+/u//HmeddRbuv/9+3HzzzfjsZz8LANi/fz8uvPBCnHnmmXjd616H8fFx+zX/8i//Eueffz5OPvlk3H///QCAp556Cueffz4uv/xynHnmmTh48GDO9/n5z38eZ5xxBs444wx84QtfsG//9re/jTPPPBP79u3DW9/6VgDAT3/6U1xwwQU4++yz8fu///sYHBxUvv9O/ud//geXXXYZWltb0dLSgssuuwx33XXXmsf94Ac/wJVXXgkAmJ6exsrKCtraxMRaVVWFU045BQAwODiI173uddi3bx/27dtnq9avfe1rce655+IFL3gBbrvtNs/P6Z//+Z9x/vnn46yzzsL111+P1VVRx/Jb3/oWTj75ZFx66aV44IEH7MfX1tZix44deOihh3J+/n6gANiFVKt+/aTYdpGKRGwwTnZVgtBtgWhrYmhpEH/rthNVVjB88M3AO14hSrARBLF+WFlZwX//939j7969AICHHnoIn/zkJ/H000/jG9/4BpqamvC73/0Ov/vd7/D1r38dR44cwY9+9CM899xzeOKJJ/D1r389wxIgGR4exh//8R/jhz/8IR577DF8//vfx44dO3DDDTfgfe97H/bv34+LL7444zlve9vb8Hd/93d4/PHHsXfvXnz84x/P2M+HHnoIX/jCF+zbv/a1r+G9730v7r77bpimiS1bXMkNDh5++GF861vfwm9/+1s8+OCD+PrXv45HH30UTz31FD75yU/innvuwWOPPYYvfvGLAIAXv/jFePDBB/Hoo4/iTW96Ez796U8r338nyWQSW7eml+a2bNmCZDK55nEPPPAAzj33XABAa2srXvOa12D79u1485vfjDvvvBOpVAoA8Kd/+qe49NJL8dhjj+GRRx7BC17wAgDAN7/5TTz88MMwTRNf+tKXMDo6mvH6zzzzDP71X/8VDzzwAPbv349EIoE777wT/f39+NjHPoYHHngAP/vZz9bYXAzD8Azsg0IWCBcyOJhfFFvy/xIbDbsbnOUB1p0EBwgV+KFn4lFlP3U9XdcThBec8/wP0sD8/DzOOussAEIBfuc734lf//rXOP/887Fz504AwN13343HH3/c9vdOTk7i4MGDuO+++/DmN78ZiUQC3d3deOlLX7rm9R988EFccskl9mu1tuZWriYnJzExMYFLL70UAHDNNdfgqquusu9//etfDwA499xz7WX+iy66CJ/85Cfx1FNP4dprr8VJJ52U9fV/9atf4XWvex3q6urs17v//vvBGMMb3vAGtLe3Z+xnb28v3vjGN6K/vx9LS0v2+1C5/068vgdeSn5/fz82bdpk//+f/umf8MQTT+DnP/85PvvZz+JnP/sZbr/9dtxzzz22NzmRSKCpqQkA8KUvfQk/+tGPAAAnTpzAwYMHbQUZAP73f/8XDz/8MM477zwA4nvS0dGB3/72t3jJS15ij/3GN74RBw4csJ/X0dGBZ599Nudn5Ac6U7hobwKa69P/pwCY2Ghs3yxq/vaPAlOzPJZkT2mDIFsCQZQe0gO8f/9+fPnLX0ZlZSUA2AEiIIKyL3/5y/bjjhw5gssvvxxA/vKMnHOlJRyrqqoAiGBuZWUFAHD11Vfj3//931FdXY0rrrgC99xzT879CbKfN910E2688UY88cQTuPXWW7GwsKB8/51s2bIFJ06ki8H39vaiu7t7zeNqamrW7MvevXvxvve9Dz/72c/wwx/+MOs+3Hvvvfj5z3+O3/zmN3jsscdw9tlnr3ktzjmuueYa+5g/99xzuPnmmwHkPuYLCwuoqanJer9fKAB2wRjLSNqhEzax0UgkmF0vN6Paicbv+ll7xGTmrghBEAQBAFdccQW++tWvYnl5GQBw4MABzM7O4pJLLsF3v/tdrK6uor+/H7/4xS/WPPeiiy7CL3/5Sxw5cgSASN4CgIaGBkxPT695fFNTE1paWuxl9O985zu2mpqN559/Hrt27cI73/lOvOY1r8Hjjz+e9bGXXHIJfvzjH2Nubg6zs7P40Y9+hIsvvhgve9nL8L3vfc+2Asj9nJycRE+PmJSdFRlU7r+TK664AnfffTfGx8cxPj6Ou+++G1dcccWax5122mk4dOgQAGBmZgb33nuvfd/+/fuxfft2AMDLXvYyfPWrXwUgEhqnpqYwOTmJlpYW1NbW4tlnn8WDDz645vVf9rKX4Qc/+IHt6x4bG8OxY8dwwQUX4N5778Xo6CiWl5fx/e9/P+N5Bw4cwBlnnOH7/WaDLBAenLxVLNcC+tq2EkQhOWUr8NQR4LdPAwtLQGOdqBGsiz95HbBnC8Pl52kbgiCIIuZd73oXjh49inPOOQecc2zatAk//vGP8brXvQ733HMP9u7daydFudm0aRNuu+02vP71r0cqlUJHRwd+9rOf4dWvfjXe8IY34Cc/+Qm+/OUvZzznjjvuwA033IC5uTns2rUrb2mtf/3Xf8U///M/AwC2bt2Kj370o1kfe8455+Dtb387zj//fPu9nX322QCAv/7rv8all16KRCKBs88+G7fffjtuvvlmXHXVVejp6cGFF15oB/Iq999Ja2srPvKRj9jWg49+9KOetpFXvvKVuPXWW/Gud70LnHN8+tOfxvXXX4+amhrU1dXh9ttvBwB88YtfxHXXXYdvfOMbSCQS+OpXv4orr7wSX/va13DmmWfilFNOwYUXXrjm9U8//XR84hOfwOWXX45UKoWKigr8wz/8Ay688ELcfPPNuOiii9DV1YVzzjnHTo4DhDf5Yx/7mO/3mw0WsyeoMAYkCNO3vMLKxy13cHz0G2JXf3gLw+svpSA4LoIcJyI8/+e2FD71z8DrLwH+7T7gtO3A09/xvyBEx6l4oGNVHNBxKg5K7Ti9+MUvxn/8x3+gubm50LsCAHj00Ufx+c9/Ht/5zndyPs5xnLIGcGSB8OBkR3IneYCJjYgshXbvfvF/+p4TBEEQbj73uc/h+PHjhd4Nm5GREdxyyy1KXossEB6QB5jY6MhKEGNTYksBMEEQBOHmggsuKPQuZHDZZZcpey0KgD04aQvAmPhH3aSIjYgMgCW6agATBEEQxHqEAmAP6msZvvinwjhCXeCIjUhLA8OmZo7hCfF/XV3gCIIgCGI9QgFwFm76QwoIiI3NyVuRDoDJ6kMQBEGUEJQERxAlyikOr3vPpuyPIwiCIIiNhq8A2DCMzxiGcb9hGHcahlHpuL3cMIxvWfd9Ud9uEgShmlO2pVc5KAmOIAhd1NfX539QCCYmJvCP//iP9v/7+vrwhje8QclrHzlyBBdccAFOOukkvPGNb8TS0pLn4x599FG8613vAgAMDg7iVa96Ffbt24fTTz8dr3jFK0KNffPNN+Ozn/1soOfIz3h4eBhXXnllqHFLjbwBsGEYZwPoMk3zYgBPA3B+u14NIGndV2sYxgv17CZBEKo5haqdEARRxLgD4O7ubvzgBz9Q8tp/+Zd/ife97304ePAgWlpa8I1vfMPzcX/zN3+Dm266CYBoKHHZZZfhsccew9NPP42//du/VbIvQdi0aRO6urrwwAMPxD52seFHAb4IwN3W33cBeKHP+wiCWMectkNsO1uBinLyvBPERoddktLyLwz79+/HhRdeiDPPPBOve93rMD4+DgA4dOgQfv/3fx/79u3DOeecg8OHD2NmZgYve9nLcM4552Dv3r34yU9+AgD40Ic+hMOHD+Oss87CBz7wARw9etRukbuwsIBrr70We/fuxdlnn223UL799tvx+te/HldeeSVOOukkfPCDH1yzb5xz3HPPPbaafM011+DHP/7xmsdNT0/j8ccfx759+wAA/f392LIl3UjgzDPPtP/+9Kc/jb1792Lfvn340Ic+BAD4+te/jvPOOw/79u3DH/7hH2Jubm7NGIcPH8aVV16Jc889FxdffDGeffZZAEKhvuiii3DeeefhIx/5SMZzXvva1+LOO+/0cRRKGz9JcM0A+qy/JwG0uu6bynIfAMAwjOsAXAcAN954o9IabkFYXl5GMpksyNiEf+g4xUctA/78DfXY1bWCZHIh0HPpOBUPdKyKg3iOU5eWV82335zzNY9585vfjFtuuQUXXXQRPvOZz+ADH/gAPv7xj+Oqq67Ce97zHrz85S/HwsICOOcYHR3FP/zDP6ChoQFjY2N49atfjXPPPRd/9md/hv379+M///M/AQAnTpzAysoKkskkbr31VszNzeGuu+7CoUOHcPXVV+O+++7D+Pg4Hn74Ydx1112orKzEpZdeiquuugrd3d32vo2NjaG+vh6Dg4MAgPLychw7dgzJZDLjOD3wwAPYvXu3/f83vvGNeMc73oHPfe5zuPjii/FHf/RH6OzsxD333IPvfe97+NGPfoSamhqMj48jmUzioosusm0Sn/70p/G5z30O73jHOzA1NYXV1VUkk0lcc801+NSnPoVdu3bhkUcewTvf+U5873vfw/XXX483velNeMMb3oDbb7894zPu6enBPffcU9K/e3mccnXt8xMAjwNotP5uBjDm8z4AgGmatwG4zfpvUbRCJgoHHad4+eyfhnseHafigY5VcRDHceL36Xrl3PvNGMt4b5OTk5idnbUV1ptuuglXXXUVGhsbMTw8bHtqJcvLy3jf+96H++67D2VlZRgcHER5eTk6OztRXl5uv/by8rL9/yeeeAI33XQTenp60NPTg127dmF2dhYtLS24/PLLcdpppwEA9u7di8XFxYz9q6yszHjdVCqFiooK9PT0ZBynlZUVbNu2zf7/W97yFrz85S/HXXfdhf/+7//GK17xCjz55JPYv38/rr/+euzZs0d8WtbjDx06hHe/+92YmJjAzMwMrrjiCvT09KCxsRH19fVoamrCww8/bFssANj7+vDDD+M///M/UVFRgZtuugmf+tSn7Nft6OjA8PBwSf/u/fye/ATADwL4cwDfBnAFgAdc910O4D7rvm+G2lOCIAiCIEoazr01sjvvvBPDw8N4+OGHUVFRgR07dmBhIfeqVbbXAoCqqir770QigZWVlYz729vbMTExgZWVFZSXl6O3tzdDIZbU1NSs2Y/W1lZcffXVuPrqq/GqV70K9913HzjnYGytzeztb387fvzjH2Pfvn24/fbbce+992bcn0ql0NzcjP3793u+D6/XBIT9o6amxvM+Ik1eD7Bpmo8C6DcM434ApwP4oWEYt1p3/xTAFuu+edM0f6NvVwmCIAiCKHaamprQ0tKC+++/HwDwne98B5deeikaGxuxZcsW22+7uLiIubk5TE5OoqOjAxUVFfjFL36BY8eOAQAaGhowPT3tOcYll1xi+2APHDiA48eP45RTTvG1f4wx/N7v/Z6dUHfHHXfgD/7gD9Y87rTTTsOhQ4fs/99zzz22j3d6ehqHDx/Gtm3bcPnll+Ob3/ymfd/Y2Jj9mK6uLiwvL3t6dhsbG7Fz5058//vfByCC+sceewwA8KIXvQjf/e53AWDNcw8cOGB7oYns+GqEYZrmB1w3XW/dvgLg7Yr3iSAIgiCIDcLc3FxGctj73/9+3HHHHbjhhhswNzeHXbt24Vvf+hYAEQxff/31+OhHP4qKigp8//vfx1ve8ha8+tWvhmEYOOuss3DqqacCANra2vCiF70IZ5xxBl7+8pfjPe95jz3Gn/zJn+CGG27A3r17UV5ejttvvz1D+c3H3/3d3+FNb3oTPvzhD+Pss8/GO9/5zjWPOfXUUzE5OYnp6Wk0NDTg4Ycfxo033ojy8nKkUim8613vwnnnnQdAJP0ZhoHKykq84hWvwN/8zd/glltuwQUXXIDt27dj7969nsH8nXfeiXe/+934xCc+geXlZbzpTW/Cvn378MUvfhFXX301vvjFL+IP//APM57zi1/8Aq985St9v9dSheVaJtAAeYCJnNBxKg7oOBUPdKyKAzpOxYH7OP393/89Ghoa1viWC8kll1yCn/zkJ2hpaSn0rhQMx3HKWuKIOsERBEEQBEGE4N3vfncgZVk3w8PDeP/731/Swa9fKAAmCIIgCIIIQXV1Nd761rcWejdsNm3ahNe+9rWF3o2igAJggiAIgiAIoqSgAJggCIIgCIIoKSgAJgiCIAiCIEoKCoAJgiAIgiCIkoICYIIgCIIgCKKkoACYIAiCIAiCKCkoACYIgiAIgiBKirg7wREEQRAEQRBEQSEFmCAIgiAIgigpKAAmCIIgCIIgSgoKgAmCIAiCIIiSggJggiAIgiAIoqSgAJggCIIgCIIoKSgAJgiCIAiCIEoKCoAJgiAIgiCIkmJDBcCGYdRZW1bofSGyYxjGdmtLx2mdYxjGlkLvA5EfmvuKA8Mwzi/0PhD5od9T8RAlntgQjTAMw7gcwHUA+gH8rWmayQLvEuGBNal8GsAWAG8wTXO5wLtEZMEwjJcDeA+ABQDfAnCPaZrzhd0rwo1hGH8A4G0AkhBzX1+Bd4nwwDCMfQC+BOBBAB8xTXOpwLtEeECxRPGgIp7YKArwWwB8HcDjAK43DOPiAu8P4YFpmrMAFgE0ALgWoCvs9YhhGAkA1wO4DWKCeTGACjpW6wvrIuVtAP4WwAiAD1q303Faf7wYwCdN0/xLALsLvTNEViiWKBJUxBPlGvZLO4Zh1AI4GcBxAJMQV2sPAfgFgDcCONcwjMOkhhQWx3E6aprmhGEYFQAOA/g3AH9qGMZdpmkeL+hOEgAyjtUxAEsAnoVQFQ8BOAtAC8Rks1igXSQAGIZRBaDONM0xAM8BeLdpmkOGYRwA8C+GYXSYpjlU2L0krONUY5rmhHXTAoArDcP4EIB+wzB+B+CnpmkeLtQ+Eva8dxqAo6BYYl3jOFbPm6Y5riKeKDoF2DCMswE8ChHx3wkgAaAJwAXWstKjAGqs24gC4TpO/2oYRo21RHEqgGaIL+315DEtPB6/qRUA/wHg/wOwH8AQgHcBeHeBdpEAYBjGmwA8DeAWADBN83kr+GUA6gAcoeC38DiO0yccN9cC2ATgzwH8CcSF5Cvi3ztCYhjGmwHcDzG33Wma5gqAegAXUSyxvnAcq3cC+J5hGGVWPHE6xPEJFU8UXQAMYAeAj5mm+V6ISeZtAO4CcK1hGHWmaT4JYLv1jygcO5A+TvsBvN+6/X8BPAxgFsBbAdwEAIZhFON3caOwA+lj9RSAPzVN81cAfgbgy6ZpXgPgvwFUG4ZRRkvs8WMYRjVEEPXH1v+vtLYJ0zQ5RADMrdu20TEqDK7jxAzDkEHuAxArrt2maU5CrLSsWM+hYxUzhmE0AtgH4O2mab4bQNIwjNcB+BeIWKKWYon1getY/QmA5yEseoCIJx5ByHhi3VsgrAy/v4RQpH4L4fe4BMB3IbxvnwPwfwE8AeB9hmHcD6AaRfDeNhJ5jtNnAHzeMIzTAZwL8SUdBvBDiOV2mKaZKsBulyR5jtXfQRyrvQB2AqgzDOMCCNVqnI5TfDiO038CeMw0zW9at9cAeIthGHebprlqPfxCALWGYXweQBtEAuNMAXa75MhznK42DON/TNN8xDCMXwA42zCMegCvBHAQAKwLGEIzjuP0XwAeNk3zQ46Lj8cBLJim+WvDMF4NsaT+ICiWKAh5jtVTEJYVQHjrbwAwhhDxxLpW3QzDqATwMQAnAHQD+Kppmt8GsMMwjBeapjkMcQJ/v2manwDwK4gMzsdN0/yPQu13qeHjOI1AHKcbAHwKwLdM03yTaZrvM03zIwXb8RLE57F6EOJYfQ3iJP1RAA+apnlTgXa75HAdp80A/sFx9z0QF5DvdNy2A8CLABw0TfMa0zQp+I0BH8dpCJZqD2Ev+jcAFwH4jWmat8S4qyWNx3H6GpBx8bELQKX196ch5sA/BsUSsePjWO1G+lh9AcC3w8YT67IMmmEYfwigA8DdAL5hmuZLrNvvsG47AeCDpmm+ynH7TaZpThmGUW55eQjNhDxOf2Jlb8Ly8ZCiGAMhj9V7TNOcMQyjkso2xUOO4/QNAM+YpvlZSwnZDuCTEBeWP4Twlx51JF0RGgl5nP7XNM2nLNvKapaXJhSS5zg9bZrm56wl9v8D4MMAXg9x/J6gWCJeQh6rJ03TfNp6XOB4Yl0FwIZhtAP4JwDzAAYhPL4vBfA/pml+y5LFvwvgUgD/COGjuhziSvtmWkqKhwjH6X8BfJyOU3zQb6o48HGctgH4HoBXm6Y5bBjGmQB+BHHh8semaR4s0K6XFBGO0zGIih3PFWjXS4oQx+k3EJaheQB/Tr+n+CjksVpvFogUgH8yTfPNEBm0p0OoG2cYhnGSaZrHIE7MVwL4U4iJ5TOmaX6MTtSxEvY4UUAVP/SbKg7yHafjAP4HwBWGYZRDeOn/3DTNl9DJOlbCHqeXUvAbK36O090AXmoYxg6ISgKfM03zNfR7ip2CHav1Zu4eh3ijME1zxDCMDgBTED7EP4fwJTZC1IGbA/Ck9Y+IFzpOxQMdq+LAz3FqhUiyWoHozkfEDx2n4sDPcWqBsDschQi6iMJQsGO1riwQEss71QTgX0zTfIV1220QNfkqIZb8pgq4iwToOBUTdKyKAz/HCcA0qfOFhY5TcUDHqXgoxLFabwqwk3IAvzIM41yI5dlvADhgmuZ4YXeLcEHHqXigY1Uc0HEqDug4FQd0nIqHWI/VulSAAcAwjCsA/BTCn3inaZrfKfAuER7QcSoe6FgVB3ScigM6TsUBHafiIe5jtZ4V4FGIchdfohJM6xo6TsUDHavigI5TcUDHqTig41Q8xHqs1nMA/LBpmmahd4LICx2n4oGOVXFAx6k4oONUHNBxKh5iPVbr1gJBEARBEARBEDpYb3WACYIgCIIgCEIrFAATBEEQBEEQJQUFwARBEARBEERJQQEwQRAEQRAEUVKs5yoQBEEQJYFhGH8B4DMArjVN8/Ysj6kF8EEAR7M9hiAIgvAHKcAEQRDFQS2AjwF4e4H3gyAIouihMmgEQRAFwFJ9PwTgGIAnAbwNwLUAXgng9wHUAHgewF+bpvkjwzCOAtjueImPA/gb69+bAdQB+BmAPzFNczimt0EQBFGUkAJMEAQRM4Zh7IOwPAwAuBUi4JX8DsLq8FfW/79tGEY1RIckAHgGIuD9gfWYP4doH/oFAC8H8FXNu08QBFH0kAeYIAgifl5ibf/eNM1vGIaxFcCHASQAnA4R4FY6Hr8DwN3W30OmaX4XAAzD+JZ12/WOx16uaZ8JgiA2DBQAEwRBFB5mbSsAXAPgfyEU3RsgLBHVALz8agzACoBXAVi1bqOVPYIgiDxQAEwQBBE/91rb9xmGkYDw/gLpQLgWQvV9keM5UwBSAPYYhvEWAL+CsD6cCxE0/xxCPd6JtFpMEARBeEBKAUEQRMyYpvkYgA8A6ARwI0TyGgAsAfgugL0AXg/gfxzPWYbwDTcD+GcAFwP4lHXbxQC+AuEB/mUc74EgCKKYoSoQBEEQBEEQRElBCjBBEARBEARRUlAATBAEQRAEQZQUFAATBEEQBEEQJQUFwARBEARBEERJQQEwQRAEQRAEUVJQAEwQBEEQBEGUFBQAEwRBEARBECXF/w/oY/iije56yAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "model.predict(n=36,series=location_list_transf[0]).plot(label='Predictions location 0 (Scaled)')\n",
    "location_list_transf[0].plot(label='Location 0 (Scaled)')\n",
    "plt.title('Predictions in Location 0');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a798c71eb8b54b8cb231bd990b176b38",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Predicting: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "model.predict(n=36,series=location_list_transf[1]).plot(label='Predictions location 1 (Scaled)')\n",
    "location_list_transf[1].plot(label='Location 1 (Scaled)')\n",
    "plt.title('Predictions in Location 1');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "77effed1ef594e7fbbb2c5747d7dbaa5",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Predicting: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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qArQQvPXWW1FKcfrppzM8PJyzn88++yxf+cpX2LZtG6OjoyxZsqTk++/Fjh07GBoayjy+a9cuxsbGMr9v3bo18/vg4CA7duzIPDY8PJzzu2HXrl309PRkMsC///3veeihh3jggQe44IIL+H//7/+xcuVKZs+ezaJFizKv7+3tpaenh8997nM8/fTTVFZW8vLLL9PZ2ZmzH4V8TgCampp48sknWbBgge/n1Px76ujo8H1OqAAOoQ3osX/uBma5n5BOp68GrrZ/nTTrLOyNEPYO9tbz9PxWC/Px/eZvmlk0v4VPvSPe14XTib31PAn5yLmaGkyV81RfX8/TTz+dc9+GDRuYNWtWZv/r6ur4/ve/z+mnn57zvL///e85z6uvr2f27Nl0dHRQW1vLvHnzGBsbo7GxMe+9aGlpoampKXO/+X3RokVUVlZm7h8aGqK6ujqzzcWLF2d+Bujo6OCKK67gzDPP5A9/+AMXX3wxP/rRj3j961+fU6+yspKFCxfS2trK+Ph4ZvuVlZW0tbUBWji69/PCCy/kU5/6FOeddx733nsvX/ziF+no6Cjp/nsxd+5c6urqMo8vWrSIvr4+5s+fT1VVFRs3bmSfffaho6ODFStWMDQ0lHnujh07OOKII1i4cGHONqurq1m4cCEVFdmwwNKlS7ngggs44YQTuO666zj11FOpra3N269rrrmGfffdl1//+tdMTExk9m10dJSqqio6OjoK+pyAdoHN++JHlH9PxS6C2wO02D+3AbuL3J4g7JUM6sWzzGnVt/98jcXgsEQhBEEQ3Jx++ul8//vfZ3R0FIAXXniB/v5+TjrpJH75y19m3NV77rkn77XHHXccf/nLX3jllVcA2L1by4rm5mZ6e3vznt/a2kp7e3smH3vDDTdw8sknB+7fyy+/zPLly/nYxz7GeeedxxNPPOH73JNOOombb76ZgYEB+vv7ueOOOzjxxBM59dRT+dWvfsWuXbty9rO7uzsjvK677rrMdkq5/1FQSvG6170u0z3huuuuy+R5zzvvPK6//nosy2LNmjW0trbmiV+AAw88kJdffhmA559/PicrvXbtWvbZZx8OOuggNm/ezMMPPwxoF3dsbIzu7u6MeL7hhhs8F0cW+jl54YUXMt9CFEOxDvAa4I3AX4HTgZ8UvUeCsBcyMKRvTzoc7l0Lu3ugfxDqayd1twRBEPY63v/+97N+/XqOPPJILMti7ty53HzzzZx//vncfffdrFy5kgMOOMBT6M2dO5err76aN7/5zUxMTGSypOeeey5vfetbueWWW/jv//7vnNdcd911fOhDH2JgYIDly5fz05/+NHD/brrpJn72s59RXV3NggUL+PznP+/73COPPJJLLrmEo48+GoB3vvOdrF69GoDPfvaznHzyyVRWVrJ69WquvfZavvjFL3LBBRfQ0dHBsccemxHypdx/NyeeeCLPPfccfX19LF68mB//+MecfvrpfO1rX+Md73gHn/vc51i9ejXve9/7ADjrrLP44x//yIoVK2hoaPCtd/bZZ3PvvfeyYsUK+vr6+OhHP0pXVxdVVVWsWLGCq6++mpqaGm666SY++tGPMjg4SH19PXfddRcf/vCHectb3sKvf/1rXve619HY2Ji3/UI+J9u2baO+vt5TsMdFRVnQk0ql/ggcAWwAvg+ckE6nP5hKpaqAHwH7AY+l0+n8lHMuEoEQAtlbz9P1d1hc/G8WF54Gdz8KW3bBq79RdMydmTGIvfU8CfnIuZoayHmaGsyk87RlyxYuuugi/vSnP032rmT41re+RUtLS0bM++E4T75/pCM5wOl0+izXXdfb948Bl0TZhuDN4LDFbQ/AG18DrU0zU0xNBQaH9W1DHdTV6J+HRpKptX6Lxe0PwcVnQEOdfCYEQRCE8rNw4UIuu+wyenp6aGlpCX9BGWhra8u0nCsWGYQxydzwf/C2L1ic8nGLPb2SKd1bGbAFcH0N1Fbrn4dHk6n1pWstPvxNizf9s8WQ5IwFQRCESeJtb3vbXiN+AS699NJMa7diEQE8yWzR+XnWroPTP2XR3SeCZ2/E6QDX2g7wcEIO8M5uffunNLzlXyxGRuUzIQiCIAilRATwJDMwlBU3Dz8HH/2OiJ29EXOe6mtV4g6wEdtKwR/XwH/elEwdQRAEQZipiACeZEx7rbe9Tt8+/uLk7ctUZWIi+YuGjANcm80AJyWATceJC+2ZMetelYsiQRAEQSglIoAnGSN2Fs/Vt0mJqunKv/xogvn/YHHvY8mKxEwGuDabAU5qEZypNb9d3yYVtRAEQRCEmYoIYA8sy+LsT09w4hUT7OxKVlgZZ7GtWa/2nw5ip3/Q4qvXWzz9SvLO5d2P6szs2f9kcd/jydUrZwbY1Gq3PxNJCW1BEIS4NDU1JbLdrq4uvve972V+37x5M29961tLsu3vfve7rFixAqUUO3fuzNxvWRYf+9jHWLFiBatWreLRRx/NPHbHHXdw4IEHsmLFCq666irfbX/729/m+uuvB2DNmjUcc8wxHHHEERx88MF88YtfLGh/TznlFNLpdOTn33vvvZxzzjkA3HbbbXzhC18oqO5MQwSwB6NjOnv5tyfgDZ+02NWdnLAybl+7/f+U6SB2bn0APvcji9d+xOLR58vjzA4MwVmfTk50eznASUcg2puTrSMIgrC34BbAixYtykwxK5YTTjiBu+66i3322Sfn/ttvv51169axbt06rr76ai6//HIAxsfH+chHPsLtt9/OM888wy9+8QueeeaZvO2OjY3xk5/8hHe9610AXHzxxVx99dWsXbuWp556ire97W0l2f84nH322fz+979nYGCg7LWnGiKAPTACBHQm97RPJrcSP+v26dvpIHb22NMeu/rgtE9ZPP5ighcQ9rk6Yn/oG4Sb7k72PJUjA2xy4dPpMyEIQmlRJ00k8l8hrF27lmOPPZZVq1Zx/vnns2fPHgBefPFF3vCGN3D44Ydz5JFH8tJLL9HX18epp57KkUceycqVK7nlllsA+MxnPsNLL73EEUccwZVXXsn69es57LDDABgaGuLSSy9l5cqVrF69OjMa99prr+XNb34zZ5xxBvvvvz+f/vSnPfdv9erVLFu2LO/+W265hYsuugilFMceeyxdXV1s2bKFv//976xYsYLly5dTU1PDO97xjsx+Orn77rs58sgjM225tm/fnplQVllZySGHHAJAX19fZv9XrVrFb37zGwAuv/xyUqkUhx56qK9re+edd3Lcccdx5JFHcsEFF9DX1wdoh/qggw7ita99Lb/97W8zz1dKccopp3DbbbcFnDEBRAB7YsROSyN0zIXH1sGap5OpNR3dPvP+1VTrkcHv/3ry0YQTDsv9Pak6ZckAuz4T0+FbAUEQpi8XXXQRX/va13jiiSdYuXIlX/rSlwC48MIL+chHPsLjjz/OAw88wMKFC6mrq+N3v/sdjz76KPfccw+f+tSnsCyLq666iv3224+1a9fyH//xHznb/5//+R8AnnzySX7xi19w8cUXMzSk/0e5du1abrrpJp588kluuukmNm3aFHm/Ozs7WbJkSeb3xYsX09nZ6Xu/m/vvv5+jjjoq8/snPvEJDjzwQM4//3x++MMfZvbxK1/5Cq2trTz55JM88cQTvP71rwfgq1/9Kul0mieeeIK//OUvPPHEEznb37lzJ//6r//KXXfdxaOPPkoqleKb3/wmQ0NDXHbZZdx6663cd999bN26Ned1qVSK++67L/L7MFMpTTfhaYb5unt2Cxy4FDp3QP9Q8GuKrTWdxI4RcO8+DX7yR9i4LcFa9vs3y+7TnbQoTToDbFlWRmy3NiZXRxCEqY31173Dv+ru7qarq4uTTz4Z0DGACy64gN7eXjo7Ozn//PMBqKurA2B0dJR//ud/5q9//SsVFRV0dnaybVvwH4m//e1vfPSjHwXgoIMOYp999uGFF14A4NRTT6W1tRWAQw45hA0bNuSI1yAsK9+cUUr53u9my5YtHHzwwZnfP//5z3PhhRdy55138vOf/5xf/OIX3Hvvvdx111388pe/zDyvvV2vcP7Vr37F1VdfzdjYGFu2bOGZZ55h1apVmeetWbOGZ555hhNOOAGAkZERjjvuOJ577jn23Xdf9t9/fwDe/e53c/XVV2deN2/ePDZv3hzpPZjJiAD2IEfslKnna0sjVFTAxASMjVlUVU3dEbgD9vQyI0qTdLWzbqkCrMRjCUlPgjMCvq5Gu81J1REEQUgSLxEJcOONN7Jjxw4eeeQRqqurWbZsWcYpjbstgNra2szPlZWVjI2NRd7HxYsX5zjGr776KosWLWJkZMTzfjf19fV5+77ffvtx+eWXc9lllzF37lx27dqFZVl5AvqVV17hG9/4Bg8//DDt7e1ccskleduyLIvTTjuNX/ziFzn3r1271lOQG4aGhqivrw9/A2Y4e8cl5F6GV94zaWexHIurysVgxpVNtouB0y1tsxcRJuWWluuiyPl5SPqzJwiCUCytra20t7dnvnK/4YYbOPnkk2lpaWHx4sXcfPPNAAwPDzMwMEB3dzfz5s2jurqae+65hw0bNgDQ3NxMb2+vZ42TTjqJG2+8EYAXXniBjRs3cuCBBxa97+eddx7XX389lmWxZs0aWltbWbhwIa95zWtYt24dr7zyCiMjI/zyl7/kvPPOy3v9wQcfzIsvZpv3/+EPf8iI9XXr1lFZWUlbWxtvfOMb+e53v5t53p49e+jp6aGxsZHW1la2bdvG7bffnrf9Y489lvvvvz9TY2BggBdeeIGDDjqIV155hZdeegkgTyC/8MILmfy04I8IYA8GnC2vjNhJquWVvd1yLK4qF0bEOUVp0BV8oXi5pUmJRWcGOCtMS39Mg16fvSn+eRAEYfowMDDA4sWLM/9985vf5LrrruPKK69k1apVrF27ls9//vOAFsP/9V//xapVqzj++OPZunUrF154Iel0mlQqxY033shBBx0EwOzZsznhhBM47LDDuPLKK3NqfvjDH2Z8fJyVK1fy9re/nWuvvTbH+Q3jv/7rv1i8eDGvvvoqq1at4v3vfz8AZ511FsuXL2fFihVcdtllmS4UVVVVfPe73+X000/n4IMP5m1vexuHHnpo3nbPPPNM/vrXv2Z+v+GGGzjwwAM54ogjeM973sONN95IZWUln/vc59izZw+HHXYYhx9+OPfccw+HH344q1ev5tBDD+W9731vJubgZO7cuVx77bW8853vZNWqVRx77LE899xz1NXVcfXVV3P22Wfz2te+Nq+7xT333MPZZ58d+f2ZqUgEwoNyunBeDvBUd/zMBURjnV4INzKq/zPZ2ZLVKaN7ntMGrcaOWyRwnjJ1apLvNywIghCXiQnvThFr1qzJu2///ffn7rvvzrv/wQcf9NzGz3/+85zfn3rqKUDnh6+99tq8519yySVccsklmd/9Oh987GMf42Mf+1je/UqpzAI7N2eddRZnnXWW52OGffbZh9mzZ7Nu3Tr233//nJyvk6amJq677rq8+72OCXRfX8PrX/96Hn744bznnHHGGTz33HN592/bto3BwUFWrlwZuO+COMCeOCMQtUmPvS3jgIVyUe64QENd8hcqOZ+JBI/J6QBLBEIQBGHv5qqrrmLLli2TvRsZNm7cyH/+539O9m5MCcQB9sArApGECBkdsxgfh6pKqK5S1NXor9STEtsXf3WCx9bBLf+m2HdRcovs3Bnq3oGExKIjPpKkKLUsq2xu83TMhAuCIExXDjzwwJLkkUvFa17zmsnehSmDOMAeeEUgkhY7kHwE4vf3w5Mvwykft3h5c/LT7XJiHQn05/U8Twm8d2abNdVQWakSreXnNCeRoRYEQRCEmYoIYA8GckSIdkqHE17wBOXLsW7cBqd8LLkRz549cxOOQNQmGBfItEAzFyoJ1nJ++1BVpaistFvjjZe+liAIgiDMVEQAe1CuHKZzwRMk62KOjVmMjIJSsHI5bNoOf0qXvg6Ur41cuSIQGaHtcurL+a3AVM+FC4IgCMLehAhgDwaGtDNaX6sSdTDzHOByiMU6OOrA3PqlxrON3BTumetsgQZlWgRXhlqCIAiCMFMRAezBQJkcTOdX+FA+FzPprHG5hGnZuk24RGmSTv2AS2xLJwhBEARBKD0igD0o1zAC3wjEFG8ZNuC1kCvhCERdgoMw8hzgMrjN5cqFC4IgCMJMRASwB+VyS/3ETtnyskn3zC3TIrj6hI9pspx6mD69oQVBEARhb0L6AHvg1cYrSWHldhaTFnFZt9QCStsPeHTMYnQMKiqguqpMEYgyDacoSwZ4JJs/B4lACIIgCEISiAPsQbnaeLkXPJUlAlELdTUqsTrOY1JKJSwW7Vr2yGWA0TGYmChtezff8zTF3WZBEARBmKmIAPagXG283AuekoxAlGu6nVvAJesAZ91SpZLr2JF3niZhOIoIYEEQBEEoHSKAPfCMQJSjDVqZsqXlaBmW18Yr4QgEJHdcfhGIpLPaIBEIQRAEQUgCyQB74HQxx+0JXElnWMH51Xrps7ll681bxjZezggEJCe2J3UQhiyCEwRBEISSIwLYA6eLOWoL4GR6vuYueKqtUYCVeDShrL2Np0FcwG8U8lT/VkAQBEEQZioigD1wupgVtvCY6j1fczomJOgqlnOSWbkiECZr3FCX25khyUEYEoEQBEEQhOQQAeyB08VUdhIhUQezHIMwHKK+nAv76jKudrKxDkjQAXYdU1Wl/lyMjcP4uEVlZemOq5wt1wRBEARhpiKL4DzwnGSWcBsvSLo7Q9bFnJTxzmWY0Jbpbzxc2jpuVzbJ9m6+ERJxgAVBEAShZIgAdjE+bjEyqh2+2ppJyssm/NV6ORbBleMrfHetcjnAkFwO2G88tkQgBEEQBKF0iAB24RQ7Ob1lk3QwyxGBKNMiuLxcc5mOCZIXwKYOJJcDlkVwgiAIgpA8IoBduF1Fd94zkVrliEA4HeAyTDIrSxu0MrVcc2e1Iblz5d/ZorSfPUEQBEGYyYgAduF24JRSiTmz5Zz6VbY2aOXsAlGmoRvurHZOrYRarjXkLCIsfa5ZEARBEGYyIoBduEUpJOf2uVuGJdpeq2wRiNyWYWWZBGfGLptFcAm7spCMAB4ftxgeyebPIdkIiSAIgiDMVEQAu3C7ipCcMHW3DKstkzNbzklmSYlSKF9e1n2hAtnjKuVnwrxHJn8OkgEWBEEQhCQQAezC7SpCci5cORc8OWtNhwjE6JjF2DhUVkJ1VbJi0X2hklStoIsv6QIhCIIgCKVDBLALz5ZXCS94ynyFX46OCWVygN3HlNh7Vwax6NUFIonPRLmiFoIgCIIw0xEB7CIwApHQgifTXaAsXSDqso72yChMTJS2u0C5JpkFidKSR1XKJEw9j0kGYQiCIAhCyREB7MIzApGAMLUsK78LRDkWwbn6G48kFBfIG4SR0HS2nNZkGQe4xKLekc01JJELL6erLQiCIAgzGRHALjwXPCUgdoZHwLKgphoqK1VunSRbhiXcc9h3ul3CI4Mh2zKslLUsy8obWALJHJeX0JYIhCAIgiCUHhHALjwXPCXgwrn7vULCEYgyDahwX0BMSgSihLV0TASqq6DKXmznrJVEBrgc/YYFQRAEYSYjAtiFt7Oob0u64r+MYie3Y0KytdwXEIktgvNwZaPWGhq2+MEtFpu2hUclvIQ2JNQFwmPinEQgBEEQBKH0iAB2MWAGOZRpwZPTaa6qUlRWasdxbKx0OVZ3/hfK0J0h4dZuge3qQo7ptgfh8v+0+OoN4e+xl9COUysOnhPnZBGcIAiCIJQcEcAussI04a+7PbLGidUqo9vsuwiuDG3Qor53u7r17c7u8Dp+DnCS3wpIBlgQBEEQkkUEsIvACETCPV+hjAMWzIS2EndncDvbVVWKigoYHy+tqx3YmSHkvTP7aM5BEOU8T14LMJPMhQuCIAjCTEUEsAsvsZjIIrhJcBa9RH3SEQhINi9bSB1zzIMRjt1LlOpayt5WCaMqHp+JJDuDCIIgCMJMpSrKk1Kp1H8AxwIbgUvT6fSIfX898GugGRgF3pZOp3cntK9lwSubm4go9cuWlilukYQonZiwMvtd51rINTisazXWl6ZWMT1zB23RGsUB9nKaIaEMcEAHEskAC4IgCELpCHWAU6nUamBhOp0+EXgGeKvj4TOBp9Lp9MnATcB7EtnLMlLMIIw/PWzxhk9MFNVdINEBCwk7wE4BV1GRn6FOYsFYIWJxqIAIRKFO/b/dYHHiFRMMDUdYcDdkFmAmmz8XBEEQhJlOFAf4OOBO++c7gEuBn9u/rwNOsX9uAzrdL06lUh8APgBwxRVXcNpppxW+t0UwOjpKZ2fe7uWxp3sWUMtA3046O7XqGB5qAprZsauHzs4+39f+8OZW/vxIA7+8cw/vev1gYJ3OLfVAG0wM0NmZXY1VoeYA1Wzq3E5L9Vj4gUVgU2ctMIsKhujs3APAxHgbUM/mbbvp7IygBCOwu0cBC6itnqCzc0vm/urKuUAV6zdtY2J4PHAbUc/Tth36nIyN9GbOSXdXNTCHnv4ROjt3+b52554WoJHegTE6O3cE1nl1Sx3QDhPZ9w5goF+fv91duefPzU/+MJeXNldxz9+3s2p58Pncvkvv1/BQF52dAwCMjQMsZHjU4tVXO1EqaAvlI+p5EiYfOVdTAzlPUwM5T1MDc546Ojp8nxNFALcBm+2fu4FZjsdeAg5LpVJPARZwjPvF6XT6auBq+9fSzqiNQdgbYZhQEwAs7ZhDR4dWG/NmW4BFbV0zHR2t/i+u0K+trW+no2OW//OAuga9zdltDXR0NGXub2rQ22hpm5epXyz1L+has1rrMu9Be4uu09g0q2R1xqt0nab6ipz3uqFe12qfNT+0VtTzVFmtt7lgbkvmnOwY0PUtagK3YV47MlYVWqu+0ZynupznLpir76+szj1/bkbGdK3m1vDzafZr0fw2Ojras/dXTjA+rpi/YBHVVXuHAo56noTJR87V1EDO09RAztPUIMp5irIIbg/QYv/cBjgzvhcD96bT6cOALwCfj7+bexeeraiiZkvjfLVexkVwXnGLJCIQYXGBJCbpFdIyzOzHQIQOGL5dICLGLQZK2HFCYhCCIAiCUBqiCOA1wBvtn08H7nc9bgRxF1og73VMTFiRBaVny7C47bUi5T31rW97raQXwZVpERdEF6bv/NIEl32rDcuK/v4VIuozXSBiCODGAi9U+u0kTBSx7ddxIolcuCAIgiDMZEIFcDqdfgzYkkql7gMOAX6TSqV+aD98I3BmKpW6F/gy8M2kdrRQ7n7EovIUi/dcFRxJMBSzCM64kpG6CwznL3iCZFquFSMWX9ls8cnvTrBlZ/SpaYUM95iYsPjln+H2v9dHOvZiRL0RmiOj4b2J+31c7Sii3tkVI5LYLuPYZUEQBEGYyURqg5ZOp6903fVB+/4e4OxS71QpMW7k4Ei07GQxbdDMa+OIHbdbmmgf4ALiAj/+g8W3fgULZ8OV74xYp4DOFs73bHA4/33xe75XBCKqAwz6oqU54F+BcfMb61wXKhGceueFULSLIn0rEQhBEARBSJZpPwjDiLHB4WgCOKhnbtjUtGwEIryOXxu0ZCbBaRHnHO9cVxNtkEPPgH3bHyOW4JeXDTgmpwAutD1Z1IuHHAEccq5MhCHvPEVw0J2fg0h547AIhDjAgiAIglASpr8AjuEAW5YVuAguTICY1+5tC56KiUDEWdjnNzQiSq1SiEXnxUNQjjiO2DZ13BngKBcqRjxHqeN8TjmGbgiCIAjCTGb6C2BbuAxFcICNwKiphspKp1tqbyNqBjiGgPNdXFWuSXBRBXCMBWOFuNqliAtUVSkqK2FiwvTP9cZ5HsOOy88BjuLK5or66A66n9iWCIQgCIIglIYZI4CjOMBhi7gid4GIIODCvlpPJAPsdIDtY4yal40VSyjAAS5FBAKiCfuSOsABdZwOcJRcuN+CO4lACIIgCEJpmf4C2EQgIjjAxYy9tSwrllvaX0a3r5hFcLFyzT4RiEgLxkqUl43y/k1KBjhGb+hC4haCIAiCIERn2gvgmmqoqIDRccVoSMsrX1FlxE6AWBoZBRM7jdMFIj8CoYX68GjphuZ5tddKIgPs68omuAiukC4acSIQRWWAnbGOkDrO/Lmv2I7wuRIEQRAEIZxpL4CVUg4XOPi5ocMpSijgfJ3FiNncgSErVNC796eYjgnRMsD53SactQLd0hhi0fmcxvrc+0t9rvo93HOImAGOkWseHNYXUHU1UFHh/f6JAywIgiAIpWHaC2DICr/QvKeJJbhEVewMazERiAi1RkYtDrjQ4tR/jCiAg1q7lXC4h3+sI9zVjiNKx8cthkdAqey5MYSdK8uyYkUg/D4TsR3gAj97UWsJgiAIghCdSIMwpjpRHWA/ty+Sq+j8Wj3GV/h+Yjuo1vY90LkDuvrC6zhrJR6BCOlsEfQVfpy8rHOxmFLek/T8HPTRsWxUxV03sJbrM1HjcOoty8rbD4jnavvVAekCIQiCIAilZmY5wBFFiK+AS8ABLkRs99rDKQaGgvvduvenkLHBcSIQobGOqLGEiAvT3OfJWcvvXLkvggp1ZisqFNX25eOIz3E5HeCoF19ex5REazxBEARBmMnMLAEc5iwaYeX+ujvmIq7hEf01vR8TE5ZnH1uI5vb12ftpWdFEUbkcYN8LiAgt13LzstEWKwaKRZ9z5d6HQr8ViFIrjgMcGIGQDLAgCIIglJQZIYDrbQFR9Ir/EX/H1S2korjFDXUBC54CXm8cYOc+B+E1djmJNmj9PiIu0iAMx/aLcUvDauU5wAEDKsbGLEZGdReR2pr8x8NqOYV8oYvtotQRBEEQBCEeM0IAx3aAXcIqytfd+cIqoE6Q2Ing9vU5BiyEHZNlWZl9qXeIuCTboBXSMmzQIUQLnc4G4Xlj9/EGHZczOuKV8Q2LkcRZBOf37QNkW+MNjZSuNZ4gCIIgzGRmhgC2hWacxVVuYjuLQcIqwor/IGEaxwEeGdWjgaur9KhgQxQBPDZmZUYKj40T2nYtNEMdtAgujlgMcoBLGIEIOk8Qfq7iDPcIinVEbY0nCIIgCEI0ZoYAjrwITgu8xrp8ty9MMA7GcBYjLXiK6AA7x+164TUEA6I5zXHcUue+FJShjjOcoogLiFI59RB+rvpjOPVBrrZkgAVBEAShtMwsAVzE19BhX3fHElZBYieC2xfHAc7U8hnkEJhVjiuAQ4ZGRF8EF61OKRbBRXLqPepA+LlynpuhEb340Y8oxyRt0ARBEAShNMwMAWwiEEV8DR3qAMeJQAR93R1B7PQNxl9cFbSwzw93ZCFyG7lip7NF7cxQwAVEnAhEUB0Id2bd7nyUC4BCFvYJgiAIghCPmSGAozrAJewuEEVYFRqByHGAC3S1q6v0JLWxcZ319SKOA2xZVrbdWgGt3WINwgjoAxz1QsW8H0FiO6oDHCUD7NyeF8XkzwVBEARBiMfMEMC1OtMb1PIKIkYTStEFoog64OoCUWDLMKVUqNiOc0zmuXU1UFkZv7VbHAc4ioMeFoGY1Wxvq0BRCuHnyu0AB+eNI+TPI7SiEwRBEAQhnJkhgEvgAIcvgssV1wVHIKJ0gYizuKqUPXOjLOwrcJBDrAywHQFprPdoTVYd3DIsI4Bb7FpFOMBmiImf22+2XVmZuz0vAqfbySI4QRAEQSgpIoAdRBJxCS+CM1PTgtzSvgIWwXn3l9W3fmI7b8FYlGMKmJhWsghEEdPZzHkyDnAxGeCm+tzn+b1+Tqu+jdRzWCIQgiAIgpA4M0MAR10EV4wDbG+7oiJ3W14U48pCrgMc1gYtUs/cEizsK/aYClkEF9QGLWwRXMYBLqILhBHAfT7nYMAlgN2ZaifSBUIQBEEQysfMEMBlXAQXJVs6kMl7+tcZChi7nJsBLmw4BcTvbFHo0IiSt0ELWgRXG1wrc54iRCCiOsDORYkGy7Iyr58dQWwHtuATB1gQBEEQSsrMEMARHeBII3ZDhNXsjNsX3vO1wWPBU2WloqoSLIvMFDY3pegCASWOQBTrADtqhfXMjTQ1zXcRnN5ulAiEubjwWpgGTgc4f1+dE/haG+3tRYlABI3HFgdYEARBEErCzBDAZXSAI7l9IV+thwnTUnSBgIQWwXnUqXHEEvxcbbPtygrLs3ZOrQhdNMJE/awWlanrt09BdQCaG/Q2+jwcYKd7HGUSYZQLlaD3RBAEQRCE6MwMARzBAbYsK+ssFrIIzr4/igAOigs47/fL98ZygIsZ7xxHAAeIxYoKlRHBIx5ie2zMYnRM9yVubogggIvoozzocFrDho4EOc0QnAF25oejXIAFLewLW2wnCIIgCEI8ZoYAjiBARkZhfFx/ZV1dVbhYjJUt9RA7EJ4tjeUAF5EtzY9AFDbKN6yWuXhoqIOGWsuu5VuqqIV95pjqarPvv5/YDnOAM+fJQwA7z3GUC7Cgi6Kgz4MgCIIgCPERAWxTjICDmBGIAFEK0Nygb72cxcFhnS11b8u3VpRFcD7CzAjTzNS0IlztoAsI89r6Gqg3ArjAWlFzzfU14Z+LMAc4c548hKlzH02dQl1tpwMclI0WBEEQBCEaM0MAR3Dgwty+6IvgVM7vXkT9at3L8XOL4qIywKFxAS22ZsdwtUMvIDzev0wsoQ7qa8IFcJCDXm/ysiHnqa4m+1y/44rqAHtGIBxRCzMww3T/8KwV0HGislJRX6sXRkoOWBAEQRCKZ2YI4CIdOIB6M07ZR8TkOcBFRCCaA4SVWxQn2QUi3sI+/9ZuzlpewtQpFutqYkQgvOICAa4suCIQIZ+LyBcqXhEIx/ueHcXtvR3LsjLvre9nwj4uiUEIgiAIQvHMCAFc73CAw7oQFBJLAMciuAhTv8IiEE0BYsfUjzJwA7JisakAARxnaETWLfVpGRYgTI0Ara+N6AAH9AFuDhClkD1PUSIQoVntoAiEQ9SH1XG60pWVYS3XvLchCIIgCEJ0ZoQArq5SVFVajI/D6Jj3c8Ic4LCFSHEc4GK6C5j6mfG6IV+J9wWIxdi55iIc9CBhOuD4+r8+ZBHc6JjF2DhUVmbbqzkJungAhwNcEx6NCb0oCjhPuQ5wcJ2wgRsgC+EEQRAEoZTMCAEM4c5iqIALc4DdXSAKbBkGDrEY4ADPbw+vA8FxgbjDPYpZBBe2sA+iOcCZ964WlMp3S4NEKTgWweVkc31qRXSAPUW9hwPsG7UI+exB+OdPEARBEITozBwBHOIshg890LdeonR8PNvHtt2MQi7CLW0KEDum/vxZudvyrRXkAEdsGTarFMcUIOpzMsBh5ylssV2NdodHRmFkND/u4owbRBamflEVh9h2R2uc73tUoR0kgMUBFgRBEITSMXMEcIizWMyCJ6eoagwRVRMTVo7j6UVzvXY2ewfyBZwRxfPasvvtl2uGsDZous6Qz9hmd2eLYtrIBV1AxHKAQ0SpUirQBY4TgQhzgKurFLU1un+0+yIiI+rrItQJufgCcYAFQRAEoZTMGAFcrLMY1PN10PG1etQFT/W1ekKaF1EywO3NemhHUK4ZioxAuKfbFdFGLkjAeWaA/S5UYsQFvMR21AhETmeGKM6s67icE/iK7TecU0ccYEEQBEEomhkjgKNmS8O+7g5ygHUbL/3z0Ij30IIoX3c3B2RLjYBsbggX22NjFiOjOpph9stJ1ElwkTpblCgCkTlPPlPnil0wlhOBCJgE53ye34WKs5b7wsgpnqM6wH6fPRAHWBAEQRBKycwRwCHOYqm+wldKBWZLw3Kl4C+qdH3Lfo6K/BV+Y533grGwbGpmYV+EDHD4Ijj/WEdOBCLsPAVkmrO19G1oBMJcQBR4nsDfrXe+98W2W3PWEQdYEARBEIpn5gjgkAEL/YP6cb8+tkG5Unemtz5AmEYRO6VygMPysmG9Zb26QPjljYvpomGGizgjEH4Z6mIWjE1MaEcc9GK5oOEmUc4T+B9XbqxD/1zoYjtdR9l1ZBSyIAiCIBTLzBHAYdnSkBxmUHcBtwBuCHBWYznAARngJkd/Wb9OEGFuadh0sUHHe1Jbo0fx+nWMKCYCkXn/alTohUo0sahv3e+f0/1VSgVGIKJkjcH/uDwd4AREvSAIgiAI8Zk5AjjMAQ4RIUHdBfIEcEAEIo4D7BWBKMgBDhPAIT1z43RMCOsDHJgBrnOMQi4iLuBXy7kAztRz1vesE1EABznAQRdEObWifCYkAywIgiAIRTNzBHDUbGkEZ9EtrJzjdSFY8MRy+0Ic4MaozmLIJLMwBzisu8X4uMXwiP9iO7O/EGMQRgJuqXNhm6kHIU59iAD2E6bO/XRGILwWRhb7rYAgCIIgCPGYOQK4yElwEC6sojiLkcROgNsXywEuIgJhWVZkB9jp4HottgurldMFooQXKkERCFMPQpz6AiMQTge4okIFtpxztkzzIyyuIgiCIAhCdGaOAI7YB7iQYQRxMsCRvu4OcGa9MsBJdLYwWd+aai3ggsR2nM4MQRngnD7Afhng4XCx2OQzSCROBCJuBjgvAuHKlEd5/6K0dhMHWBAEQRCKZ+YI4IwD7L2KPorgieoAB3aBiOBgBi2483SAE8jlDrrFYoliHUGDMCJNgitiapo7AhEoSiM7wN7dGdz7GdQJIsogDHGABUEQBKF0zBgBXOwkOIjhAAcIqyhiJ2jBnWcXCB9XMMyZ1V/Pa2d0bMyns4VbLAbEBQod7hErAhGnVsgiOHNsQbGOqBngvAiE2wGO0hpvEhzg8XErcJS2IAiCIExHZowALnYSHAQsgnOLxaBs6WC2520QfoKnIAc4oLOF34K7PLEY5ADH/ArfLbicFxB1JVwEF5oBDurWEeGYgmq5RW3JIiQlFMDDIxYHXGhx9ActXt4sIlgQBEGYOcwcAVwCB9g3AjFi2TX079HcUv8MK3iL7bExvTCtokLXynSB8Il1hEUg/OqAR1ygyK/wq6sUtTUwPp6/ECx3aETyFypuAezloEd1gL0EsFdXjCiLCAuNkBTKpu3w8mZIPwepyyzueEhEsCAIgjAzmHkC2EdYOTsZ+BE29ctMFos0CKMAYWV+bqo3I5dVzr67MW5zYHeBmL2NC801O2sFZahDB2E44hJ+RHW157dDdRVs3A47u9wZ3uDJgAYvse3VFaPYRXB1di58eARGx0ojVJ37vKcX3vw5iz29IoIFQRCE6U9VlCelUqn/AI4FNgKXptPpEcdj7wA+YG/r/0un039PYkeLpa5a33oJEMuysi5k4DACBVh2d4GsMMoXi/p5umNBroCKurjKS1iZn81jxXaB8KsDhXW2iJKX3dmtxfa89uz9TlE7NqGd05FR7XhXVXm/f4EOcIioN65sY73ilCMs/pSGO/4O735j/j4VcqHS05+7HxASIYnw/um4ikV3n67V3hy8X1Ew+3z8YbB9D7zYCZt3lmbbgiAIgrA3E+oAp1Kp1cDCdDp9IvAM8FbHY4uAfwBOTafTJ+2t4heCIxCDw3rMr3bZgtpr6dvIfYCLEIthDnBOnQK7QED4grG8jgkFLoKD8PdPO6aObK5Xz9wiWq65jwngnOP1+b7tgeAuDn54nafte/StU+RnIiQexxSlNzSEDy6Ji9lOSyO0NuXuiyAIgiBMZ6I4wMcBd9o/3wFcCvzc/v0MYBj4UyqV2gJcnk6n+5wvTqVSH0A7xFxxxRWcdtpppdjv2FRXaKHT0zdKZ+fOnMd29VQA86mvmaCzc4vvNsaG64E2tu0aoLOzO/v6rjagnsH+PXR2DjI82AC0smNXP52dPTnb2N3VDtQx1L+Lzk4f5QpUore5oVNvE+ClDdXAHOqqRujs3MXQQB3Qzs7dg3R2duVtY+duvY3hgd10dnormyql92f9q7voXJjdn1c31wKzUNYQnZ17GBtpAprZur2Hzs6cU8zmbfp4J8byj9dJbdVsoIaXN+xgTv1o5v6BoQWAYvfOzWCNUls1Tj+VvPTKVua2TeRso6dvLlBFb/c2OjvHPev0duvz2dM3nnM+t+7Q+zk+mt3Po5ZXAvO4fc0E6zdsodr+F7HDfu9GBv3fO4D+Hv36PT1jdHbuAODZl2qA2bTUD9PZuVs/caIVaKBzS/Z8ZvZ3YB5QSfeerXRaucfrpK5aH/tL67dTOTbm+7yobOzUn59KBqlSFUAtG17dyaIWD5XuYnR0lM7OzqL3QUgeOVdTAzlPUwM5T1MDc546Ojp8nxNFALcBm+2fu4FZjsfm24+fBnwIuAK4yvnidDp9NXC1/eukBQxfeHUbAKPj1XlvyGiFBVg0N1YEvllLF+nnTagGOjqaMverSi1aOha009Exi0Xz7edVNNLRkft98jj6uUs6ZtPR4e82z5utn1dTp7cJ8PxWvd321ho6OjpYvFD/blXU09HRmLeNCWXXWjTLt9bcWaZO7v40PGdq1dHR0cGCufr3qppmOjpac7ZRXasfmz8n/3idzLbFbH3T3Eyt0TGL8QmLqkpYtk8HnZ2dNDVUsrsX2mYtoGNh7n4Pj+lt7LdsPovmeB9Ta7ven/7hypzzWVun758zK7ufHR1w8D4TPLuhgvW7F3HKar3NkQldZ98l/u+dfuP0NodGqzK1Jp7W9y1ZUJu5b0673l5FTfZ8GgZH9GMr9l1gx2y8aWuZgM3Q2DwvZ58sy/KdwBdEtf1+zJtdz6itu5ta5gQfr03Y/1iEvQc5V1MDOU9TAzlPU4Mo5ynKIrg9QIv9cxuw2/FYF3BPOp22gLuBQ2LvZZkIikBEWVgFjhHFIRGIg5bq2/ufzG/5FScvCz4ZYPurcPOVeWgGuIgIRKQ+wGaxXX2wcPKKQDiHYBgi9cwNOFfOCMr4ePb9dy+CM5xzvL51xiC67Rxva/51RQ5eEYgdXfp2ruM6YeV++r356+O5n4eo+XNwRCActX7/N4u551nc82j8a0tnpCZsrHax3P+kxcHvnuC7v5G+w4IgCMLkE0UArwHM8qDTgfsdj90PHGH/vBp4uWR7VmKC+gDH7mIQ0jHhmENgTqtuMfXshtznRs17ek0Y22MnD0xeM0goQnF52UF3BrhEi+DctZwt0Ax+YsyyrEiivqIi29+437GNIbtdXV1NrlA/5zj9+x/XZO/rdr3XfphjdvY33r5H385rz9Y5+1h9e+fDMDScPafms1Mbkj8Hh9h2vH//93eLXd1wz2PxRaVzUWVQm7tS8Mc1Fs9thI9+x+LCr1iZiyZBEARBmAxCBXA6nX4M2JJKpe5DO7y/SaVSP7Qfe8J+7F7gYuC/EtzXoghygEu1iMsI4MpKxVm24Ln1/tznRnEw/WqZxVXz7cVVYa5dtC4QWnT1ugRJrDZoMQWw0y0ddDnNObVcxzU8AhMTunVZdVWwWPQS2+4uEIajDtS3rzji311GAIc4wFVVivpavYjS7K/XIrgl8xVH7K+fc89j2fujvnfgPQxje5e+3e0fvfbFXFw11avA8d2lwHkefnEX/ON/iwAWBEEQJo9IbdDS6fSVrrs+6Hjsn0u6RwlR53CAx8etHLetGAEH+WIR4NwTFNf/n8WtD1j804XZWu5WZnFquZ3FyG3QIrQMK6YNmpeL60VQBML52gV2RPapV+CkIxzPjdiazFnL+f75RSAa6qCmWj8+OGxRX6uyEYgQB9jUGhzWtRrrHRGIttznnXs8rF0Htz5gceax9oVHxM+D3zEZsb27N/z1brwiEEk5wKbWBa+DX98Dj7+YTB1BEARBiMKMGYRRWQHLFuif//5s7mORIxAhcQGnsHrja7RT+eDT2SELlmVFFlaeDnCXvp3ncoD7/QRwUS3DcuMCc9r0/S96LH6NfgFhRF9+BMApgM+2Iwk331dYazJdC7tW9j4jwtzuu1Iq0/t2T69emDcwpCfuNYV8JiBfmGbOU1vu887NtFzLxiW6IzrN4H1MRmwX4gA7xbdx4JPKAJtaBy7Rt0kJbUEQBEGIwowRwAD/8Fp96xZWkRfB+QxY8Bp80NKoOOUI/ZW9yZb2D+pRwA110b/C9+wv22bvb9Q+wCUYhHH0wVq0P7MeXt7sLUzDc8361qu3sfO9P/d4PfXsnsegyzGZLE5cwOsCwohFZzTBMMshgM35bGkgUncFdy1zntwO8FEHand70/asA2qiFm0RnWbIzYUbsb2roAhEdrtm4p0Z611qzHtjvr1IKmohCIIgCFGYUQL4/JP0H9/f3ZfbnSGqgGus14ManN0FxsctdtotgY1LajBDFv6Utt2+iJ0FIDgDbAScEYJert3EhOXprrqJGuuorlKceYz++fd/y31uMYvgvOICs1sVJ62CsXH4w4PZ+92DQKLUch7XNtcFhBPjAO/uIVb8wauWn9CuqFCcfZz++c+P6Ns4n4msg65/HxvTC+DMfsclxwEOidMUi3lvzHsvAzcEQRCEyWRGCeATDoPZrbDuVe1kGowQCBNWehyt/tn8Qd/VoxdAzWrJd3UPtNuhbbUbx0VdWAU+DnCXvjVisbpKO6WjY/preyfO9mIVFf4uZmgbNIcze94Jeju/vz+3Vl+EqAV45429FowBvOlEOwbxN4/WZBGEqddx+dUCciIQ3TFcWch1tgeHLfoGdaa4xeM872f32DV57qjdJtx1gMyFFxS6CC673aS7QJjzMN/Od4sDLAiCIEwmM0oAV1UpzjtB//y7v2bv7+7XYqStKfrX3Zm8p6szgxPn1+rgEFb+syLy6hjhYFlWnluqlPIVLpFFaUgEwtkx4YxjoKoS/voE7OnNF6ZhgrHJ05XV25nfnvvev+lEfXv7Q1pUAnT1RqsD+edpYiL//XMyy+50vac33oWKs1bvQK6j7RWfMJ8Js2gtTgTCfa7MBZHZjrPncRQ8HeCkBbD970QywIIgCMJkMqMEMMD5Hs5iUSIkgqto3Ll4X3frWyPgevphZDQ3rwn+LcOidIBw1vHNADsEcHuz4qTDdY759gJ65nr1UfZ7/5bOVxx5gI6n3POoXaeA988cV1efjlS0NkFtTb4wbbf3fXdvvDqQK7bdOe28Ou6LogJiMe6LL0NX7oTqUMrZBcKch1ktenGh17cWgiAIglAuZpwAPi2lReEjzzu+hi4im+vuzODEuIput6+gOj5C0TjA7k4QsXO5rgywX8swE4O41Z6aNjGR7WzRErG1m2dni7b85x9jzxV82R7EXdiCMbtOiDCd1aKPa0+vFSuWALkXK34L4LJ19G3moqjPsmuFf/vgd/FliBuDMOe8nBngcgzdEARBEIQwZpwArqtVLF+of85kc81X6xGiCW5ndpu9DS9hZYRut/31dNSoAGQFXP+QFpl+Qtvsz7bduff3O9y9KHXCJsEZjjtU3657Vd/qCWh6O1UhnS2C+tgGdWbYnXFLjVgMLAPkt1wLqgM+i+BiOsDdfcGdJsARi7FFdilEvSFuL2CvDHASEYixMYuhEe381tcm7zYLgiAIQhgzTgBDaaIJWQc4f+ytobJSZYRNV1+8BU+VlbkTxvwczBNX6ds/rnG1JovoANfV6IV0I6MwMprdhnMRnZPZrfrWvHfFxEcgRADbruzuHncGuAC3tMuu0+b9/JxFcDG7QOy/WO/PEy9bkeuUIhZjPnuGOA7w6JjFsC1K62qy5zkJUdrrENpKqcTdZkEQBEEIY0YKYPfX0KVw4bwWwTlr6cVVtoPZGC7g3LXCuyXk3h+1tZtSyrM7g+kwYASvwTfWUagA7tK3nosIXbWKycsah9x0IfCrpbtAxDtPxx2mb9c8DTtsUTq3zfu1eRGImBPnoDQRCGckQSkVOla7GPpc0+6SdJsFQRAEIQozUwDnfbWubwtygAv4aj1qey1nLb8IxMlHaPH09CuwblNhQyO8hOk2H2Hf2qh7IWdiHTEuHmqqdReJ0THtNg8NW/T063ZuXgJwlsstjeU252W1jVPv/fxiFsEdtFS3PNu0HR5bR2Cd5gbtuvYNahe2EAfd3W940ZzsvkfF3fqvHA6wOSdJim1BEARBiMLMFMB+DnCUDHCMRXCQK7bjuKXgdoBtAedyFqurFGcfq3++xeECFyPq+wct+gehtia/l21FRXZscFdfvIV9SilfUe/ZMszhyuYcUxS31B0XyERIvJ1ZZwQi7nmqqFAcc7D++S9r9a3fIjjn++fsORzl/TMXMzp3nY1bHGT3my7IATaiNEFXttfHAZYMsCAIgjBZzFABnM2Wjo5psVdREW3CWFZYuRZXtfnV0reFDFgwr92yK9hp9hoaUZLWbm0hvWyLcLXjtAzLdkyIXsvdci3MqS/mPAEcay8OHB0LrgO5/aHjvH9VVYrWJj1ee6vjM5EVwNHbiplYgvk8J+kAuyf4Jd1zWBAEQRDCmJkC2OHK9jicUi+x56a5Pncc7bYCIhBRv1o/cn99+9Cz/l0gQA+oqKmGB57KOsVd9qCKtuboC8YyeVkTf/DJy7Y7XW3bnY3ravcORBClPkMjClusGFzLeUxxzxPAsYfkvs9+oj6nVk98t/moA/TtQ886BPA+9gVdnAiEXyyhHA6wRCAEQRCESWZGCmCvr7tj53IHg6MCBudCrrhi57jDtLBZ83Rwf9nmBkXqQN0xwox4LiovG3FhX6lyzX51nELRsgprIxe1D3BNtaKxXg/56Nyp74t6niDbs9jgF4GAXGd/ZFRnoN3t5vwwbej+/Eh25PKyBfq+Xd3+r3PT584A2/UHh/V7XUokAiEIgiDsbcxIAZwj4IrI5WZ6vrb5u8ftTfkDFqKKRSN21jyT7VnsJ+CM4NrjcktjRSBcDnBYXEA7mKXvbGGoq9XdCcbGtYiKkwE2z9ndoxfrhdWC7EK4zUYAx3CAZ7cqDliif66vDe6+YZztV7bo27amaN8+QPai6Pf369/ntcFsV7eMKDiHYICOV1RX6XjFyGj07USq5bPgTiIQgiAIwmQxMwWwx8K0qKJ0Tpu+fXV7uIADb7c0qrDqmKtYMk/HNEwOdk6r93NNnV2u9lqFZIAzLcNiLOyL+v6ZY9/Z7VjY59FD2V3r1R3anW2o0wv/wmhpVCxboF3Gx9bp/ayszLrKXpjHjAEaRwADHGu7wHPbggVte0YAm4uH+DU2btO389rzF3VGwZ3LheRywH0usS0RCEEQBGGymZkCuAhRajKY6eezX5UH5T1NrZ3dWmAqlRUCUTAuMOievH7T1opqGeYWwLYwne8jTHMWjMWMQBy2XN+mn7OyTnOb//ONWDTjkOOIRdOf9xZ7ceDcVt2FwQ9zXKDFclgPZTfHHqq3HXRB5KxjHOA4UQun02xqufslR8HtykJynSDMND4znW+69AHesNXi7E9P8NM/WiWPjQiCIAjJMuMFcHwHWAuQwWH4U9oWij6LxSAr4NZv1bctjcEizM1xh2afGyy0XVPTYglg77HBvkMjmrO14i6CO97+Cv/Bp+M56M64QFSOt9+7m+/TvwedJ8h1h1saoscSDOccp4/ljKPD6ujtFnJMkHtRNLctN9M+MRFNiJkuJs6LsaRGFOcvglN2naktGm97AP64Bt57lcU7v2RlFp4KgiAIez8zUgA3N2iHz5njjeMsHp9xFvVtoDB15T3jfq1uXEwIForuHGhxDnBwPa+OCVFFnOmX+8gL2a/x/aIW4Hz/7LhADLFo3runXtG3QefJWQvinyeAJfMV226p4CvvD/5nNct1URT7M+G6KKquUrQ06vyu6WoSRtYBzm4rqRHFvm3QpngEotvxXt90N1x6lQhgQRCEqcKMFMBKqcyCJyOsogzBMBgBYhZLBWVYjVg0f+zjip3V++suE7qO//MyGWC7E0CcjhPuEbuhGWAPBz3qcbU1Kw7dVy+0em6jvi8pB3jVfllXM6wO5DrAcYR2XMwxGac1bq3ciyL92XO3jAvDncuFJCMQubWmSwSip1//v+NNJ+rfH31hEndGEARBiMWMFMDgkcOM2MUAsg6wIYqAM8T9urumWmVyx1Gyxrt7YWjYYnhEt9cyblsQfj1zfSMQRbRBg/z3L0rLsEIywNVVitcclP09XABnPwNxz1Mc3Avx4tY6dFn2nJljirsQzisDnNQiuOnaB9gc10o71z7Vj0cQBGEmIQK4AGfxkGW5fX+DhFV9bdbBhcKcxZMO17f7LAjvluDONUca7uFogzY6ZrG7R0/Gm+Xjihcz3hmyOWDzutqaIAe9uLysU2z7jUE2OC9WColARMV9URTn4gugslJlPhP7LcrdZlQB7OkAJyRMe30iEFO9D3CPLYAXzNLnr18EsCAIwpSharJ3YLIoJodZUaE49hCLOx/WvwdlWHXcwsr08S1EWP3zexQdc+DiM/2fM9tuj1aIK2uet31P7sCNysrgLhBbdhHLaTbkitLg55rzZNy2wvKypt1a8HPLFYFod227kM/EDz6leOgZeO0q/XvcCISnA+wYhlFKMmLbTJ2bJhEI8x6af/+Dw3oRYpxFroIgCMLkMOMdYNP0P04GGHJdzKhtr6Cwr9abGxRXvEVlujV41rD3f1cBnS0O21cvCnx6PbzUqe8LEvVGKMYdI23Yf3FWsId1ZsiLkEQY7ezE2TEh9DwVuQguKnkRiJifPYDF8xRvOUVl3veSOsASgYhEj2Mwi5nkNzQyefsjCIIgRGfmCmCX6IgreJwupt9wikwt51frCTmLjfXaiR0c1s4sRBfAjfWK1fvrQRO3PhDultZUqxznMK6oV0plhGmoA5wXF4hXa06b4qCl+ucl84Kf214mAWwm3JWy1lTIADe5HOCpHoEw0Y6WhmzPaIlBCIIgTA1mrAAudiHSMYfobRy0VAvCwFqObcfNe0ZFKZWfa47hLJ5gC/rf/lXfBjnAUHxc4LUr9fuweG5IHde2C3HQr/tnxQ8+pTh8Rch5yjmmZL/GLrXYNr2Zd/VE7QOsbz0HYSTUBs04wNNlFLJxgJsbknvvBEEQhGSYuRnglmw2FOKLuJZGRfoaqK2OUiv7c5LdBWa36BZmL2+2Ytc6YaXiO/9rZbothAngWS2waTux6xiueDOMjCkuOSO8jpNCxPbRhyiOPiT8eeVaBAf6G4jOHfrnUnwmShGByDjAJfwaf3zcYmBIT0A0Lul0iUAYZ7ulMXtM4gALgiBMDWawAM79vRDBs3xRNJewXF+tm2MyOd54Ajj396DexlB8XraxXvEvF4c/r9g2cnFwHkfSArjUC+7iLIKzLMvbAa7TF4UDQxZQGgfcWcfklafLIrgeR7a5cZqIekEQhJnCjI1AOAVcfW14jKGoWi2O/rIFLHiKXMfe9suZlmHRj2nRHMWyBdnf4yxOS1KUmql9hiSFaWWlyhxLkl0goPRus9nf7r7w5+puBXrhVlVV/iS4UmZzvYT2dGiDNj5u0e84tuniaguCIMwUZq4ALpOAg/J1FzDHVOiIXacLHCUCYUhSLCqlct6/pM+VcWbL+pkoQS0TZTCCMwivBXCQjDPr7gAB00MsOiMkFRUq4wBLBEIQBGFqIAKYMn/dnaQAtusM2xnOuCLuhJUxWrvliNIyLhhLWJgee6jOdB6wJNk65pga6vTEumJxT/MLwiv/C8k4s14C2NkybGIi2qK9OFhW6bfpxrkADmQRnCAIwlRjxgpgp6hKMpYAZVwE15orpOIeVzwH2DHNLekFY/b7V1GR71qWmp99TrH5tyrn+JLAbL9UnwfzvvQW4wAn4Mx61aqoUBmxnUTf3PM/a3HoRRPc/2RyQtjZAg2S66EsCIIgJMPMFcA5rckSrlUmB7PYBWOHLoNlC2Dh7PAMcHsZYwnGbY47cKMQKioUjfXJT/Iy56pUn72SOMC2M1tKERfmNpfaMbUsiz88CM+sh5M+avHZayYScYTdDrBEIARBEKYWM1YAV1UpWmzxUS4BV1UZb2RwoXUMcY+rslLx4PcV6WtU6Nfy5czlGrGYdJ1y0l7ixXbOLgTj48GCz4jkxrrc+42LGRaBuPk+iw9+u43+wXBh6RWBgOQ6QQyNwNi4brsG8G83wN+eKG0NyG2BBsnnmvsGLDp3JB/tEARBmCnMWAEMuc5ikiyYDbU1sHR+sg5mKVqGLZitWDQnfB/LtQgOHOdpGgng/Tr07b4LS7O9iorsdL4wF9It3gxRXdnv/K/FHx6q574IwtJEBZrLELeArDM7pxXecrL++dUdpa3hrFMuB/i8/2exz9ssPv/jCUbHRAgLgiAUy4ztAwxaxK3fmryz2NyguOfbyQu42WXsmVvOLhrl6sxQTlIHKe77LhyyrHTbbG7QkYPegXxx66THRwA3RByEYVqtGREYRJ9P3jipVmhmn1oaiXxBUAj5GeDS91B28uwGPar8K9fBHx60uOc7ehiPIAiCUBgz2wE2OcyEuxgAHHeY4pBlSS+syv5cVZl12RKpVabOFpBdMJZ0nXLz2lWlXWyXWQgXkgPOiER3LCGiK9vdH60OQK8dkyhXBKLbcWxJDqdwCm1IvguEuWhZNAcefQF+fU8ydQRBEGYKM1oATzdn0e3KlitukXQXjRV2XGD5omTrTHWi9gLu6dei1C8CEebKGvHXE0UAZzLAuZ/FpCMQrU3JxhLyIhAJus2jY3qcdEUFvO11+r6uCANPBEEQBH9mdATitJTizoctjjt0svekNDTVa+d3bDx5Ud9Qp7tFjIzlO4ml5oxj4L7vKlbvn2ydqU7UThCZDLCfKA0QwJZlxXKAvSbBQXKOaSbe0YDdzcOyF+uV9mKwd8C+iGhIfrxzr+OYkox1CIIgzCRmtAC+7FzF+87WC4imA0opZrdabNudfN5YKcWD34fxCd09IkkqKhSvXZVoiWlBVAHslwE2bdCCHODhERgdM3XChaVfF4j6iHnjuDijCYk6wK7jSrILRO4xJSfqBUEQZhIzWgDD9BG/hlnNsG13eWId+yyYXu/dVCd2BjigC4RlWZ4Rmm7HwrdIGWC/NmgJCUavDHAii+BcFxFJ1so5JnGABUEQSsKMzgBPR6Zjz1whGpEzwD6itLJSUVOtfx72cWZ7YgrgTCbXp+NEohlgIxYjTMcrtE45HeCkc82CIAgzCRHA04xZ02xhnxCd5iK7QEB4ljWuA9wd4jaXPgKRzeYm6gC72qCVI26RtKstCIIwkxABPM2Y3apvRQDPPDIZ4JAJbX4RCAgfhpHjAEdwVv1qJdYFwhFNaEhSlLrboCXoAJu+yy2NybragiAIMwkRwNOMObYALmV/WWFq0FSvz3loFwiXe+kkbBxyXAfY6V7m1KnV+6oHR5QOr0VwSYhSd7Y5yS4Q5j1sTXhhnyAIwkxixi+Cm26872zF9j0W73rDZO+JUG6i9wHWt54OsN0Jwk/IxckAW5YVvuAuoUEYSYtFt7AvR9446c4WgiAIMwkRwNOMg/ZRXPdZcX9nIlHaoFmW5bsIDkrrAA+N6J7UdTVQU+3dczjJUchJitJyOsDdmcElSiIQgiAIJUIiEIIwTYgigAeHYdxHlELMDHCB7dYgOcFYjgVjY/ZkNqWyIru2Rk9qGxnVj5eSnjK52oIgCDOJSA5wKpX6D+BYYCNwaTqdHnE9/v+At6TT6VTpd1EQhChEEcDu9l1uGkK6Mxg3EnTUYmLC8u2lHdhtIuFRyEnGBUyGurkhO25cKUVDrUXfoBb1LSX8bs3T1RYBLAiCUBShDnAqlVoNLEyn0ycCzwBvdT3eDByWzO4JghCVKIMw/KbAGcIcYGcEAoKFmF8LtCh1CiUnA+wQi5ZVOle2129hXzmHe0gEQhAEoSii+BTHAXfaP98BXAr83PH4x4H/Af7L68WpVOoDwAcArrjiCk477bSCd7YYRkdH6ezsnJTaQnTkPBXOQG8lMI+u3jE6O3d4PufFV6qBOdRXj9LZuTP/CROtQAObt+6hszNfZW3b2QbUZ35/4aWtLJg14Vnr5Q01wGxqq4bp7Nyd81h/r36su3eEzs5dUQ4vFMuCnv4FgKKnazPD/VBduYDRccUrGzZTW12SMqzbVAXMpaEm9z2sq54LVPHyhm2MD42XphiwY/csoJbRoZ3s3jkCLGRoBDZu6qQyQohN/k1NDeQ8TQ3kPE0NzHnq6OjwfU4UAdwGbLZ/7gZmmQdSqVQrsDKdTv9rKuWdfkin01cDV9u/ljYcF4OwN0LYO5DzVDiq1gIsBkeqfN/DF7bp58xuq/Z8zlxbzFbXtdPRMSvv8ZGJXLHb1LqAjg7vCETNy7rW3PbavFr79OrHxqyakp3vwWGLsXGL2hpYvkxvs6F+gu4+aJu1KLQ1YFCcw8nGPXrf21tz38PmRv3eNLfO931PCmF4XG93+dI5LF6saKibYGAI2mcvorkhvE6cf1MTExbfvxlWLoeTjpDFtOVE/t83NZDzNDWIcp6iLILbA9gDdmkDnFbOPwLfLWDfBEEoMdlBGP7PCcrlQnaAijvq4H69IUreuNVjKEsSEQivY4vaC/iXf7ZoP9vib0+EX6P79za2a5W6tZtjEAYkG4P4+7NwxbctTv6YxfuummBP76R5FoIgCIkSRQCvAd5o/3w6cL/jsRXAZ1Op1B3A/qlU6jMl3j9BECLiFEYTE97CJSwD3NakXT8/4WOEcVuTdiWjCOCgkculHIXszP8aoi6Eu/cx3bP4/ifD67hboGVqJdSizDkIA5LtBLHNYW/85I9w2ietkuanBUEQ9hZCBXA6nX4M2JJKpe4DDgF+k0qlfmg/9p50On1GOp0+A1iXTqevSnZ3BUHwo6JChXYJCGpNBtDWrG+7+oJfv6BdZ1wLXXCXxIIxr2OLKkrN+9UzEMEB9hvvnFRrN1e9JDtBmIuIE1dBdRU88nwyk/QEQRAmm0jNetLp9JWuuz7o8RxpgSYIk0xzvRZ7vQPerc4yQzDq8x+DbATCTwAbgbRw9jjPbaoOcYDtAQ4eOdWMAC6hWPQUwBHdUiOQ3REPL8Ic4FIKxpFRi6ERqKrMxkaSjECY87tqP3h2A+zs1u3uGn0+L8Xw+IsWv/2rxeX/oFgwW/LGgiCUFxmEIQjTiLBewD2OqWJeZARwb/5jExNWZrvz2+0IRIAIC2yDZkYul7BFmVc2N7IANg5wBAEclgEupTPrFPWm53CSEQiTN25tyrbVS6rn8Bd/avHla+Hg91j8+DaJWgiCUF5EAAvCNCKsF3BvSAa4PSAC0TeoW4011kNrQ4wMsEetqipFbY3eXqnGITvFmyGqW2qc6LDpduB/EZFIrMNL1Cc4DrmrTx9ba6PKfJb6Euo5vKPL1IT3f93iv3+TTB1BEAQvRAALwjTCOMB+osXPvTQERSByR/JqodQbkJktplYhBIrFqBGISAJY3+ZFIBKIdQSK+gQzwM5BIn0R3pOCatnHdu7x+vbZDeIAC4JQPkQAC8I0IjwCoW/9u0Do2z0eEQjnRLKmeiOA/fclqA0aQHtArULwOraosYQ4EQivbhOQdYD7B0sn5IqJdRRCt+OcJR2BMBc+Rx+snfSknGbLsvjytRZX/95ifFxEtiAIGhHAgjCNKFYAG1HX1ZefzXUK2sa6CBGIMAfYjluUTgDnL7qLujAt2wUivE63j7BvqNV1E1/Yl2AEwriybQ4BnJQwNe/jojnJ1nnxVfjCTyw++A2L4y63WLtORLAgCCKABWFaESqAQ0RpXa2irgbGxvNFY6EOsG/eOKkIRAFdIAbiOMAmluA6riS6MxTT27gQuhzHZuokIUzHx/WCSqWyAjgJQQ+6k4Xh4efg+A9bgdEdQRBmBiKABWEaEeba+eVXnfgthHM6wE11xQvgUjvA3mJRu7JhsYSCHGCfCETyrd3sYxoqvYgrVwSix9FKriUkt14s5phOWAkLZ+tFl86BH4IgzExEAAvCNCLrAHuLo7AuEOC/OC13gZTefpBgDHObS+4AB8UFAkTc2JjFyKj9vEFCc6J+EYioY5fj4DneuQwRiNZGx8VUAovgcqIWCQtg8/nqmAPz2pOt9ejzFpf82wQPPSMOsyDs7YgAFoRpRHO9dgcLjUCA/0I4p8BsCskADw1rUVlTDbU13j2H20ueAc7unyFKXMD9WFgrNL8IREMC0YRuO9fc2uTINZdhEVxbk6MLRAkX9Rm6vIR2wgK4HLnm//mdxXV3wHGXW3z4mxOZXLogCHsfIoAFYRqRcYA9/sCPjVkMDOncZdBkL38HONsjtjEkAxxNaCu7jrdIGB2zOP1TE/zT9yf8NxJSs9QCeHzcom9Qv4fuGEmi453L0AViZNRicBgqK/WxNNWbqEVp64BLaCeYNYbsUJdyCODddi3Lgu/fDJ/5oQhgQdhbEQEsCNOIoD/wRhQ7p4p50RaSAdYOcIgADmmBBuEO8BMvwZ0Pw09v99+GE8+euRHiAm7BGiXW0dwAFRW572EifYDL2AXCGXFRKtlBGEaUtpal24T+rLY1Jz/cw/ybueh0fdu5I5k6giAUjwhgQZhGBHWB8HITvWj3GYfsFEhN9cGjkKPUChuE8dTL9rYiZlC9HOAofYDdjwV1gvCLP4CzD3Dwft7/pBU5I9pTxi4Q7mNL0pl1OsD1tdpRHxwOz18XwmTELQ5ZlmxvY4AvX6tjFlt3icssCIUgAlgQphGRBHDAAjiI5gDX1UBFBQyP6KhCXq0Ii+3CHOCn1+vtDo/A8EjwH3nLsjw7XERZBOcWrEGC2ync3ERxgEdGLd74KYszr7Ty+ix7UUxrt7i4j60pwcV2TlFaUaEScc/dtXIiEAlPt1syz66TkAAeH7f40rUW378ZDny3xfd+F+3zJAhCFhHAgjCNCBTAA7nP8cMvm5v7FXnxbnOYA/z0K47thQiWoRHdu7i2JnfRXZTODAU5wB4COIrbvKNL78ueXr3PYZQzAtHlOrYkuzP4ie3EO06UyQFePFffhi2oLJSeAZiwo/E9/fCRb1mseTqZWoIwXREBLAjTCPMH3usPb2+EhWkQrQsEQHNArVI4wE85BHB3SKu00OEUAaI0LwMcJIB9egBDtEVw2/dEq+N+zmREIJLNAOd2t2hMspZD2JuFfUl0tpiYsDKfjw5bACe9sG/pfDj9aP3ztj3+zxcEIR8RwIIwjWgOcO0iRyAi9AF21vISwEZMBfYb9ola6H212Lgtv7Yffl0norileQ5wgGvXFSEDPDCcP0basKMr+3PYMUHhrd0KwX1+y9VuDRIW22VygPsGtSvbVJ89rqSd5vZmmNOqf07KbX5hk8Vpn5zgu7+xGPOIOwnCVEUEsCBMI4wo7RnIF2FRWpNB+CS4lggC2NTyEooGE6Xo6c9f/PTMeu/afmRaXTXn3l9IG7RCIxDVVYrqKhgfJzNYw832rvxt+WFZVs74aUOUXHMhOKMCUB5RWha3uUxDN8rZb9h8a9LenHytm++Du9Lw0e9YvOaDFo+9ICJYmB6IABaEaURTPcxt047nw8/mPlZOB9gMAGhp9G+3VlGhMttyu6HO/K/X4266XOLNUG/ncgeH9VfUXuQtggsYXhAUgYDwcchxHGC9wBCqq6Cu1jvXXMqFTybz3VoGAey74C5BtznpLhDOz2Btjb4YGh3TCx+TrJW82Nb7X1EBa9fBB78hAliYHogAFoRpREWFyvQg/dEfXA5wRpQGb8NLAPcO6CEJdTVZkVeKlmt+eeOnXnHve/B2/ARwRYUKzeYa0TWrRd/6tXaD3GEgXoQt5tq+J3tcUY+p3eVqV1Yqamv0sIXBBHoOm2NLymmGfCc9KRE3MqqHv1RW6uMpV29jKJ/Ybm4w0x+TEabm3+ZH36xvd/UkUkYQyo4IYEGYZrzvbP0H8Rd3QZ/jj2L263R/Vxa8Remr2/XtknnZIRpBU+eiLIID/7iFcYBNO6moDrCXMxsWgxgY1u/Rgln690IjEBDe2cK5CK5QVxuSyedmBLBdL9PVYtDfPS8U97ElJRadTnPiwz18jimJbG45HWBTa9mC4DHrpeCz10xw2icnePApcZmF5BEBLAjTjIOXKU5Yqf8g/uqe7P3GuZndGvx68we8uz8rfDY5BLAhsAtE0Q6wvj3+MHtfwrpABPTnbQgRiyYCsXC2vi20CwTALFvQ7/bpbJETgSjimDICuISix50BrqwMd88LruWz4K7UbdDK2tmirBlqe7pdU/LT7cy/TfNvP0kB/MPf67zx8R+2uPTfJxgYEiEsJIcIYEGYhrz/HO3WXHNb9g/Izi59OydEAFdV6T+qExPZP6qv2iNdTX9TyLq7hbZBA+9WaLt7LLbs0sL18BXK3l7wH0KnIHAT1gvYCOOMAI4wCMPPATbHs9vna+KcRXB7qwNcho4T5RKL5RWlk1MrKIpUylqL5uhFq0MjJNINwrKsTK2aarj2dvj9/SUvIwgZRAALwjTkglP04qk1T5NxUXZ268fCBDDkf5VvHODFDgd4VosWm89v9JgEV8SCOxN/OGRZVlCGuaWZLhAFiMU8AVzgKGTI5oj9ehs7HeCgxXaQnyl1EnXschy8YiRJiLihYYuRUS1yzOK+poZk+vNOVwFczi4Qzix6krV6B3QHlcZ6eO9Z+j6/C0lBKAUigAVhGtJYr5jfrn/etlvfFiOAX92hhcmSeVmH9U2v1be/vje7UtwQFhUweDnAL2zStwfvk41QhE2Cy4iP5vzHwnoBD2QEsHGb/etEjkD4OcAlzgCXcnSwV745CcHjdVxJdYEoZwSi2/UtRKYn9xTPAO9xXFwG9RkvFi9XO6ljenmzxaEXTfChb0ywo0tiFjMVEcCCME2Zby/qMl+7mwxwJAHsEqZeEYj9lyhOS+lOBNfdnvt646IWMnZ543b98z7zs2Is1AEuYhGcuT/SIrjQCIQ+nt29+X9UB4etnD/oRQngBASjV+Y4ibHLXhcRiUcg7M+zc+JcKVvIedXKLIKbwhEIZyzBKbaTqJVxtR0T+5LqbPGXtbrX+A9/Dwe8y+Jnd4oInomIABaEaYrTAR4Ztejp1+2g/MSbk3bjANt/lLwWwQF8+Hz9h+p7N1uZBXMTE1ZmEZi7hVdeHQ8HOFtLZRzgMLEYacFY1EVwHkNEMnWKiEA44w8QpQ1aeK65VMLUOXQjaWEa5AAnnQGurtIt5MbHdZ/lJGuVo+VaW8KxhMFh3cu4rkbHVZJ0Zp2xjqRzzaZWc4M+b1d+TwTwTEQEsCBMU4wDvG0P7HLEH0wbsyDcY4q9HGCAc47T9617Fe5+VN/X3a8FRmsT1FRHa7nmzAA7xbYR64X2AYZwF9MI47Ym/Yd+fNy7v+74uHZwlfJ3to0A9opAOOMPsHctghsaIS+XC8mIK6+oRaYLRMkFcP5FRNkX3CUcgUhSLO5xZevL1doteQGsPxcfflNubWFmIQJYEKYpTgc4Tv4XcoVp74BFd5+eqmYEnqGqSnHZuVpc/PLP9mK7rui1gh1gIjvAxYhFc39jXfTOFhUV3sK+PaANmnGAzUVE1FhHIaIe4MVXLd7+hQme31QVXAh/ZzuJLhDldIAnJW5hxGLGLZ26k+Dcw1jK5gCXKde8aI6ioiK5zhbC3o0IYEGYpsxv1yJt2x6rKAFshmAsnuvtHqcO1LfGJTZCL44ANn9oLcvKCOCljgxwMYvgMgMd/AZh2Pc31DkW3XkI7kxXhoCFfbM8BL3BOMArFuvbpB3gG+60+NU98L/31QcXwj9CkogDPImitJy1mutNZ4vS1hkd099EVFRoQdqUYK7Z7QCXw21ub85ePCQdgZjVkmxWW9i7EQEsCNMUZwQivgDWf7x3dFm++V93na2ubhNz26LU0bfmD9LuHi1IWxqhpVHlCFK/aWSjYxb9tiBo8tB6jbYQ8Wuq7+UAewnuKJ0tgvoAm8WIKzr8aziJJoD9Bc+WXfq2uz/8f/N+E+7KlgG2z3MpF9uBd3u88jvApa3jHFiilKKqSlFXo/t2l3I0NuQ7wOUZ7uEYslPGzhZJie3h4WFefPHFZDYuFIUIYEGYphQTgVi1n7796+P++V+D6Z5QSLs1twPsFtuVlYrGerAs/z+6zq/vvRzqoD/almVlBXC9QwB7uLNhHSDAkQH2jEDoP/DLFymU0mIv6GtX50InN0bUBwlGcz56+sMz335dNLJRi2BnsXfAYuO2aO6jaRfWWoZcrtc5S6KWs1tCa8J52cl1tfVtsg6wSj4D7BD2SR4TwIc+9CH2339/zjrrLB5//PFkiggFIQJYEKYp84wALsABPnGVFj9PvgwPPKUFy2IfB9jU2d6lF4rFiUA4HWBn/MHpNrcGiFII7gAB3jljw8ioXvRWXaU7BARFIMI6QJjHlNLPHR/PFYQmAjG/PdhpNhQbgTCOfM9ABAfYx91uivg1/rmfsTjgQovdPeEi2Ot8TfUIRN+gdmAb6vTnKKk6UF4BnLcIzgjTBHLN5RzuUc6OE8888wwAt99+O6tXr+a3v/1tMoWE2IgAFoRpynyHM7vTdh/ntIa7gQC1NYo3HKV//uXd+tY5BMNJdZViVosWALt6YGe3rjW3LbxWXa3++nZ0TH996yWAwxbCBQlFyOZyd3nEEswgCSMoi41AVFaqzOPuleXmwmBee3YbQQvhogjgIIGQFcDh58HP3Y4qRJ5Zr9uKbdgaWsrTbU6uC4S+TVosTmbUApITcXmL4MwF0ZTvAqFv2xPubQywZ4++8j3mmGOwLIv775f5znsLIoAFYZoyu0X3/e3qg812HnR2RAcY4Ozjcr9m94tAQG4MIo4DDLku8Kbt+RPnwlqhhQlgc8xeuVxzbGa0cHMUBzikj7JfL2CTAZ7bFj7hbmjYYmhEO9P1tfmPZwaE+LwnlmXFcoD9RklHcZoty8oca9jCPsjNsBpqqqGqUl8IjYyWzl10xxJg6vc2druyydbKbSOXdYBLW0fX0rdJu7LOz2s5HODdu/U/xLPPPhuAnh6Z77y3IAJYEKYpFRWKubb4e2a9vo0qSgHOPCb3d79FcJDNG28tIG/c7nBoC3KATXcGPwe4Jbt9N84FcM5ahTrA4L8QzkQg5rWFT7hzxgS8cs2zzTF1+7y+T8c7AHojOMB77FyumWRniCKs+gdhbFz/HKWfqpcoVUpFqtXTb3Hhlye4Kx0ukicmrIyoMecVkunPG+TKJuUAO4fMlGuSXpLtyZyitKFOR4kGh0vfnmxgyHu4RxICeGJiIuMAL126VNfp9chiCZOCCGBBmMaYGMQLm/RtHAG8eJ7KLIaDEAfYnqLmzBtH6QIBcJD+u8ADT3kL4DCxGOoABwynMA6wWezV0qgFYE9//h/dbvu+1sZgQTnLoxewZWWz0XPbHBGIIl1tL1EP2fgDRHOAnV8JO4kirJyiN4oADmu5FrSw786H4ed3wbd/HS6Kevr14smWRh1NcdcpZX/eoFxzORbBJRaBcH0uyjUIw3lBVMoe1JArtCHZ3sa9vb1MTEzQ1NTErFmzMvclRanb4E13RAALwjTGOLPGoYsjgAHOOlbfeg3B8KqzdVf8CISJWvzhwZBFcD5/dKMugtvdm/8Hws8B9voDX0wEon9Qu1n1tVpsh0UYihH1kCuAh0cVQ8PBfxjdosAQZeCG8zi7Ivxt9+s4EUVsG8fba0Fj9Dql789b3s4M5Ztut8ftAJdpEIazVuK55iR7G9vub3t7O83NumBSAri7u5slS5bw2te+lieeeCKRGtMNEcCCMI0xDrBhTlu81xtxuu/C4BHKnkM3ItYyIvuutHfLtZaQBWNegsBJTbX+mnN8PD/bW+pFcOAdgXAugFMquNsEhAtgp6j36o+8bXfu72HZXD8BHEVY5QjgvnAHyrdWBHFlXluU0xxRxA0OW7y8OZqjVtZFcAG1EhOLCTvAzsy7O49f6lr5Qlv/fyOJzhYm/ztr1qzEBfDTTz9NZ2cn999/P0cddRRf/vKXE6kznRABLAjTGOPMgl5o5DUoIogTVsIPPqX44f8X/LW/iUBs2q5FXWWlv3hzs3CO4qgD9TjS0TH99X5DnWMRnIklDHj/gQoTi+CfA3YvgjOu9dOv5G8jSh9gZy1nBMK5AA4iRCACegBDVtRPTHhvY6tLAIcJxtIJ4OA6o2M6l2ummDmJ0gnCLMqKkzUudLrdJf9mseKdFi91hgsjr0mESS/sc9ZKypnd4/ocJp1rdmbekxLbeQI4yd7GZXSAjdhubW1lbGyML3zhC5n6gjcigAVhGmOcWdDiLsjF9UIpxQf/QfHaVcGvM0LbCMe4tc4+Lvuze7FduAOsb4OEqV9kwB2BeN2RWsA++gI89EyuaInSBxhglr2QzIg1yE5lM++TGQLR7eOYRhH1QTGIrbtzt1usAA7KYe6JkQF2fv1cURF/wZ2pFUkA+yyOjCqAn92gM8TrXo1Qy+NbCKVUIoLRuwuEiXWU1sXMG4RRJlfWWSvpLhpJRiDK6QCbWueee25mwV1XV1citaYLIoAFYRozz+EAx83/xsG0QXu+gMV2AOcclxUOS1yL7SK7pYU4wC4BXF+reL/uVsR//8ZbRBYSgTD9cfeZr2/D2qDFcrU9OkG4HeCgfsMQkAGO5Mo66kSNWngcVxy3eWAo3FXd48p6xqkDWQe/HG5zHLy6QCQh4iYmrExEx3zmk27tlnNM5XKAp0kG2Cm2W1r0/xyk5VowIoAFYRrjzAAnKYBNndExfRu1A4ThqAOz21g6P/exoPHEEL4IDvzd0gHHGGTDh89XVFTAr+6BrbuyIitqd4tZHrU22GOC91mghX54Z4vgXDM4WqF5/I0zGWDTQzhIxFmW5SsWTTRkYMg7awy5TnehTjNEc5ud72mhYjuqiDOvj7Pgzk8AB4mr0TGLS/99gj88VBdeyKdWEsK026OLhrNOKTsOBHa2KPnCPtPyz1UnYQe4sbERpRSDg4OMjY0lVqscYnu6IAJYEKYx88vkALtFYdxaFRWKc+wYxH4duaKv2JZh4O+Wuh1g0CL1vBO0mL/6Vn3f+LgVub9xZvSyQwwaB9iI+1IcU9CAD+MAH7Akd3te9A3qBYINdTpb7KSiQmUuDgZ8hGmcDHAUARzUnzdOxwkzlnlWS/yoxfCIlTnepB3gNU/DtbfD934f8tVCQK0kp9s5z1VVlZ7cODHh/3koBK/PReJus31xWS4HWCmVEaZ9fRE+VDEpZ9xiuiACWBCmMeUSwNVVKmf7hdS66oOKf/+A4rJzcu8Pa4MWKy/r+nvQb2cmnYvuAN53tv79z4/ox3f1aDdsVosWAUHM8opAbNO3JgJRbBs0Zx0vB9gI4AOXBNeBYFEK4TGIOKI0qFZjiRfclWxhX2+401lUa7ces41of47L1QfY7zOYZK456ViHV61yOcBAosK0nBGI4eFh1q5dO+X7DosAFoRpzNw2PVEJ4rdAi4szbhE3AgEwp03xmXcrmhpyBWYpFsEZF3BXd3AfYMN+i/StWbyWaWPW5l8jW0vfOkVUJgO8QN8W2wYNnMMwco9pYsLKdJ3IOsD+f6iCcrkQLuLiiFJzUeDtAIcv5Iqz4M5c7Lj7V8cVwHsimHXmuHxrBYgr89ruCANLhkcsBod1d4kGx2c2qls6Nmbx/EYrknDxWmznrJW02M60J/Pp/lIovgI4id7GDgcYyieAk3aAP/vZz7J69WouuugihoZKPKmkjIgAFoRpTFWVyrifc1rjdYCIS67bXLpaQXGB8fHsQp2WhvzHDb4OsI8AXmi3dTMCODPGuJ1Q3IM3+gd1fKKmOrtYMMwB7o7kauv32B2B2NWjIw2zWmCe3QUkyJkNc4DDsrlOIdrd758VdtbyGqoSJuLGx62ci6CwbG4xDvDuGKLe+Xz3cUVxS8356+lXge+dc1/cI7KjCuB/vd7ioHdb3L4m+HnOWu73LxkHOH8U93R2gJNwZo3YdjrASQng559/HoCf/exnvO51r2PHjh2J1EkaEcCCMM0xzmySEQjIirtS1wpaBGdiEe5xt278MsBei+BAC9S6Gv1Hvm/AygjgKM52fS3U1sDwiJ7+ttGOPyyZl2391RrR1fbrA5xzTK6/pVsdLdfaQoQ2lDYCYVnBQiIjdDwW94WJOLcQjRqBmOU6rtoa3ad6eEQvQAt6LYTHOowwV8o/AhHkLppFWROWChWVYbGEMBH37Ibc2yDK6QB7LcIsV8eJcvUBhvI7wElFIHbt0v+TaWhoYM2aNXzta19LpE7SiAAWhGmOyZ0unhv8vGIpNgLhR0OdFixDI/mtr6I4pRDuADfU5t6vlMq4wFt3505yC0MplRFde3rz87+QO3HO6+voOLlmt6g3+d8Fs7KvDxKLYQK4OSSuYV5fXaVvA8W2j6sI4U6z2/EtNG6hlMrW8hFXTlc9LALhzP+6L8LiRCAguqtdSKwDsp//PTFyzeXIAHu1MiyXA1xbkx1YMjxS2rjFZGWAy9Vy7VOf+hQAGzduTKRO0ogAFoRpzjevUFx9peKElcnWWTArd+hGqQgaHRxFKEJAFwj7j7jbAYbcGMT2Lv2HMUoGGHJ7Abvzv6AXDdbX6tX0XiIsVhcI19+4bbZbvWB2eLcJCBfA2ayxz+vtfTUdLgoV23GyxrpOSB/gEtUK7zahbz1jHRmx6L+vcQSwb9Y4oig1r4/W2SI/lgDRhek/Xz3Bt34VTVB6XRglJoBdtZwDS0peq0wO8MTERKZWW1tb4hEII4CXL18OTN1+w1VRnpRKpf4DOBbYCFyaTqdH7PvPAj4HTABr0+n0FUntqCAIhXHgUsWBS5Ovk2THifZmLQ7Wb81dzBd1OEXcDDC4BHAmAxwt2+wch5zpATw/v73b4LAWp02O/LJZ6FRdle3j61nDdIFwO8B2BGLBrGyEIjgD7C10DOZc7uzKf2xw2GJ4RLtoC2fDS53BtYIWwcWJWkDhvY0hXADvLqC3sXeuWQFWyTpbZLLGPgNL+gd1Bts9ZS/z+p78mmH7VUhrt13dFv/+M2ios/jE28L/zXgtxEwiamE+r+5/W80Neh96B0q3WHh0dJTe3l4qKioygjQpAdzd3Y1lWbS0tFBVVZVoBMKyrIwA3meffYCp224t1AFOpVKrgYXpdPpE4BngrY6HnwJOSqfTrwVmpVKp1ySzm4Ig7O3kDN1oK+22zzxG337/Zu/pbGEOsHl8T6/ObBqMM9rssYDOZJqdAjhqtGOZ7fY+8ry3Awz+C+Gcgz2Cxkn7ObNmDPL8dpW5MCgmAmEWNO7sznfznCIpTtwiaBGcn+CJI4B7B/RCwMb6/N7GzlpRxPaevuChD36iNEod5+vddT2f6+MAO/s1Bw4SiTHcw08AR3FLTc/sgSEYGo4Rt0h4FLKzt7Hz31YSnSDMGOK2tjYqKrTUSkoAlzNq0dPTw/j4OE1NTcyePTtz31QkigN8HHCn/fMdwKXAzwHS6bQz+DEK5I03SaVSHwA+AHDFFVdw2mmnFbO/BTM6OkpnZ+ek1BaiI+dpauB1nirGqoC5NNROsHvntpLWe/uJlXzv5rn87E746LlbmNs2AcArm+qBNqorBujs9JgJ7KC1cT7d/RU8++IW2pssLAs2bF0AKKrGt9DZmfuHurG6CWjmhQ29dG6vAWpQYzvp7BwJ3d8TDqrjZ3e2c9Ndw+it1tBQmfva+urZQA2PP7uT1urs/S9vqQTm0VQ3Rmen/+rqiQlQagE9/Yr1GzozGdyXX20D6qlVexjoHQIW0NU3QWfnFs/tdG7Xz7dG99DZma8AqqwGoJWNW/rp7Mz9Q/f8Jn3Om+vGqKkYARp4ZZP3dgB2ds0DKhnu30pn50TOY6OD+ri37x733NdXNun9mN8+zrY9lWzdOURn5x7POpt26G21Nnhvq7piFlDLK5t2srA5/3y+urUN0IpyfBzWvbyFxjpvIffihjqgnbqqQTo7u3KPaUh/Prfvyn/MsGPPXMyf4qD3DmB9p/5MVtFLZ2fuFUBj7Tz6Byt54aWtLJg1kffa0THo6V8IwLbdI3R27vKtA7B5RztQB6O76OwcztxvjTUDTWze1pO3D4bnX6oG5gDwzLqtzG/P3x8nu7vnAxUM9mb/HQ706nO4pzf838FLW6pYsWiMgOtFAF541f681udus6ZS/1t8ZeMOZteNBm4j6t+ol156CYCWlpbM882F1ObNm0v6d+65554DtPDt7OxkeFifr507d5b876nJ+7a2tjIwoK+C9uzZs9f93TbnqaOjw/c5UQRwG7DZ/rkbmOV+QiqVOgqYk06nH3M/lk6nrwautn+dtK7JYW+EsHcg52lq4HWemlot6mstDtm3ouTnsKMDzjthglv+Br9dM58vv087KmPKAiz2WdRAR0ewDTy7dYLufqhtWEhHh2LrLouhEYvZrXDgikV5zz9wX73tvuEmumy369D959DREf6V7oVnWXz8+xYPv1CTWfCWOmwOHYuyrz3j2AnWvgS/WzObd56Z/TKus1vXndNWFfo+tjdPsLsHGloWZeIZ3YNabBy8op0D9wOlJugbrGD+/EWeQzyGx/Xz99unnY6OvP+9s2IfvT+DY410dOTanK/s0o/Nba9i4Vz950RVe28HoMfs2/4LMn1eDW2z9Lb29FWyaNGiPPd7olI/vv+SSrbtgaHROt/3Z3u/eQ8rPZ8z276Aqm/0Pp/mPTE0NC+kY57Pebf3q2N+PR0duVmcpR36sXHyHzN0DzhqVfm/dwBj6Ocu62ihoyM3Z9TSOMH2LmhuW+B5TDu69L4A9A/XhH62BkZ0rQOWz87Z3qL5ejuqqjlvHwyPbcjWqmvy3h/D+LhF76CFUnDw/gsz8Y2KWvtzNxL87+AHt1hc/p8WP/4nxXvPDv63uX539vPq3Kb5PNQ1zg399x31b9SmTZsAmDt3bub5zteV8v+RTz31FADz58+no6Mjk80dHh4u+f+Lt27VX2nNmzePAw44AID+/v697u92lPMUZRHcHsB84dIG7HY+mEqlFgPfAS6JvYeCIEwbWpsUT1+n+L9vJNNv+JN2lvB7N+ssH8A2x9f9YbhzwOvtaMKyBd7P98oAR41ANDco3nCUbgtmWmS5u3Bc8WZFVSX85i/wyuasN2Cyq0GDPQxenSDMce0zX3813lyvt+03SS9sEEYmA+xhsDvjE2ERiJFRi/5B3dGjyWPRYUOdbj03NOI9ZtdklfddGFwH/PvyGsLiFu6seFBkwJyvQiIQ7t7GYQv7Ii248zumGIvtgmpFyebGqWUiPy2N5GSXmyIuTHtmvX7Pnt0QfbiH+7OeRCs0dywBkosmOHsAJ1kH/LtNTMWpcFEE8BrgjfbPpwP3mwdSqVQTOg7xoXQ6PTU7IQuCUDL2XaQyU9dKzYmHw0FLtdh7Qn+7mOl4MN/fNMvg7gTxiv3NuBFUbowA3rhdi62KCn9B5cX5Jzlcszn5WdSOuYp3vkF/hfud/83+8TAt16IsJHTngMfHrUzfYSPsWxq0u+XXczg0A9ymb70WweUKYHvoho+Ic4oPr2yzUiqS2I4igMNEvTMTHvR6c74DxXaP/yLCuL2NC80Ag0PERWjt1hWSa4bsZ8ot7OMM94AYx+SzsG9gKDe3n7ef3dHqOJ/jN9yjpL2NXR0ggMS6M7jFdpKjkE0P4FmzZlFdXU1dXR3j4+MMDiYwSi9hQgWwHWvYkkql7gMOAX6TSqV+aD/8UWA/4LupVOreVCp1cnK7KgjCTEYpxYrF+ufNO/VtpjtDW/jrC3WA172qb+e24bu63ovzTsiOoXb2AHbyqbfrJ/zoD1mHc5v9HZuzq4YfmWOy/869ugPGxvW+19Xqbbc06u36ibjQNmh2DS9R6pwWZhYwFSq0IeuwBwtglfO7F0HdJpx1zMWG3+sjuc1BrmxYtwmXPgkVi0UsuHO62iOjugOJH+Pjlu8C00gOsKOLRtgxGaE923XBV1GhQntDO1/vfi+9KEYAW5ZFd3d3JtoQRjkd4MnoN2wWwCUptpMmUhu0dDp9peuuD9r3/zvw76XeKUEQBC8W2aLUCODiHGDzlbq3qJ3bpr+uHx/Xv0ftAWyY1644YaXF357I7wBhOHyF4vjDLB54Cu5/Es45HrbtsWMds8LFtnsanHG1naK+uV47wF4izrKsHBHrhVMAW5aV497GiUAEdYAwRHGAF8/VgwuGRnSHASP049TSnS0su7NF7usty8q8fvki3ckjMAIRIErD3NJCh3sUG4EwtRs82v+BjiVYlj6n7tx4FAfYGckp1AE2tfoGtTBt8Y5QZ1u7RehtXIwAnpiYyLi5o6OjVFZWBtfycICTFsCmVkNDAxUVFQwNDTE6Okp1dXXJaznd5u3bt9PT08OCBT7/o9tLkUEYgiBMGRbN0X+MN+8qwi213an1HmLRSUWFytluIdPtLjpd7+/RB/mL2YPsHs1mUXohxxQU62i1HWCvYRgDQ7o7gB7f7L2PdbXaiRsbzxcIzh7CUQVwkANs4hZezuxuD7HtN+AjrLdxkAPcN6iPtaEuew4KzRubNnR+ItC81gjRyA5wkRGIsFpRXO2glmFxWrv5OcA5tQKEqXl9tFyz33APZdfxj1pUVlbS1tamL5D2eHcfyak1iQ6wUqpstZIeupEkIoAFQZgydNgLyTbv1A3/d9jCL8qIYpNNjpoBhmwMImoNN+8/Bx77seIjb/Z/TuaYjKiP4WrPto8pI+q35i4Ug2wG2EvERRGl4O/MFuIABwrggKEbTqc1rFbYIrgoTnOUOhAct2ht0m5174D3mN04UYuJiawz7ZVtDhu7vNs1/jhIMO4KEMDNIU4zuDPAERf2FeCgQ7wIREZsu44ragbYfO1vRGAQQQ5wqeMC5RTbzgyws85UjECIABYEYcrgjEDs7tHxhPZm72EHbpwZ4IkJiw32YjG/eAK4BHBb/P1VSnHE/opqj/Zjhoyr7Y51RBL1+jZf1Dub/NsZYI+/g5EFcJu+dQtTpyCLKkr9FqZBtKEb7c3Z/Q0V20V3tjB5Y38RFxS3CFvYZ0Tb8oW52/Kip18vmGxpzI8lQPg4ZLdAjJRr9hKlERzgXTkC2P95+rn6vfVygMOE6dhYtotGnM4W7lpRB2EYAWxEYGCtSXSAIfkFd9MhAywCWBCEKcMi3VufzTuzQjGqM2v+6G3ZpV8/OqZd1oY6f3HqFMBz25LpbtFhH1NREQhXBjjHAW60u0B4xAWKdoAd+eHWUjrArjpjYxa9A3pRYUtjBLEd4GBCcATC6eiGCW3LsnKiGXFrmfdvP7tdaWAsISBrDNDaGNyFwxyXia5GiUB4xhIS6wLh30XDdzqg47z0DcLoWLTOFnkOcMQ2aEZgRhHAYRngsC4ce/bsidxaLEhsJ+02iwAWBEEoA0YAd+6MJxQBVu+vBdQDT8Hjdhs1v/yvYUH270lBEYgoZET9Lu1Mb++KXs8IlN1BArjedIEIcFVDeg6HRSDamrN5V72AyquWvi+oTZ5fHWdHgooKlek44eVqO/crtLVbd/6+Oh3dMKE9MKQ7KtTVQL3HYjzIHpO32Na1F89VVFVamYV9XoSJ+iCnGbIC2nQkKVRsRxGLORngkMVpQRngsAjELp/PY9xaSUQg3AvTAGpqaqipqWF8fJyhIf/WFg8//DCzZ8/mS1/6UmgdyO8DDOVzm0UAC4IglIE5rTpTuaeXTIQhSlZWP09x0uFasPz3b/Kzsl4snJ0VNYkJYNtl7tyRjXW0NfkvSnNinKwtu3TGdPNO3a948bzscwId4JAOEO46vhngJh1DaajT+9/vIViKcYDdLmvkuIVPrfpaRWO9/iy4RY/XYjvfRWwhohSCW7s5X9/a6J/VjlIramu3/eyhh0Gxjl3d5mIl/7HaGu0ij4zq4SZunLEEXce3TM5+BWWAfQeWxGwjZwSzX2/jqAK4UAcYognTRx55BMuySKfToXUsy/IU20lFIPwywLIIThAEIUEqKlQmlrB2nZkCF/31F5yiReX//V3/HuYAF5sBjsK8di0odnbDpu36vqii/qB9oLEentsIf1mrW1ctmUdO5rglQgbY3evVjcnmmrym+/VRhGkxfYDdOdskW645F8GFZo0DpsAZAiMQjlqZ8xS2sK/I3sbx4hbeA0tabMHYE3BRlfm9iC4QYW7zrhgCeGxMt/xTqvBBGFEjEJZlZZ5jRHOmVgTBuGPHjkh1AAYGBhgZGaGuro76+uyIxSQiEE6xLQ6wIAhCmTGRgcfW6dt5EcYgG958UnY4Bfj3ADbkZoAjl4lFZaXKRC3Wvqhvo4r6+lrFucfrn//jl96utukC4fVVdLZdWHAdr0VwwyMWg8PakW+0/+4GCdMwVxb84wLuqEbQ1LmxMYuefn2eW316x4JDbLtqOVtlFZs11nX0vu7o8ugC4RDqxgEu1G0OE8C7Mg6wvbAvwiI4L1EKwcNRzGvNv9NiHODMOOTB4FiI3+9OnDGaykrv3salikD09vYyOjpKY2NjjiiFaAJ45069IrbQxXZR68Slt7eX8fFxmpqaqKmpAUQAC4IglA2zaCyuWARYOEfx2pXZ32M5wAlFICB7TI8ZVzuiAwxZV/su+9tStwBetkBP8njgKejc4efgBl8IeLmlTkfXDMco1gF2jnaemMifJhbFaXbnhf3IiO2A1m6mXpgoLUTUO18fJwIRutjOQ5Q6J7sttyMQfvlp934F1urKf8zEDJbM0xdHg8PeLeAyzw90gPX582u5FscB9lsAB9G7QER1gP3cXyi9A+wngJOIQAR1mxABLAiCkDDGWTJuTRwBDPDWU7KiKCwDvGCW/uM4u9V/ElUpMMf06Av6Ns4xnXls1oGFfFd7ydxx3nqKzmx+7efBEQY/vASwiWuYPsYQTQAHxQVqqhUtjTpH7Mws+wlgL8ET+5i6cu93urItjdpJ7unXItKvVsEZYMe+moEl/kMz7Fyuz8VKcwPUVOv89aBrIZ2Z7NbalD3uIAd4V4ArC9mLwaCBJbNbwi8gTF7Yz603wrTHVwDH6G1sv/9hi+2COi9EdYCNgztnzpy8x6IIU/P6PXv2MDExEVgrzAEupTD1EvaSARYEQSgTpm+uIY5bCvCWk/Uf3OoqWDo/+Lk11Yp7vqO4+9sqZwRwqTEL4R7PuNrRazljEODtan/+Yr29q2+FzTuzf+B3BogCJ14C+KXN+na54yIiKWHqdj+jRC2CRCn4u5jO/ayoUJkLHy8RFpbLDarjHLmsBXBxEQillG8tZ8ygLUSURqll6piOJX6vDRPAzkWY7lgCOL4R8OtsYdcyn4fdERxgr3NVXaWordEXXkMj/tuIugjOCNhiHWDLsujq6gqsVWwE4itf+QpHHnkkfX3hs6TFARYEQZhEFrn+psR1gDvmKn7xecWN/6IidVo46kDFqv2SE79mnyDb7imuqL8gxNVeuZ/izSfB8Ah83eECb7H/ji8MqefuNwzwUqe+NYuqAA5YovfjN3/JddGGhnVeuLoqO/bXD++4Re4I20hRi4gL+9xDN9yZ1PYAUe83Wje3jr51i1LTQq2+Vl/EhC6Ci9FxwlcAtwQfT+b5Dhc3Tp2cWo4IiZ8wDcr/5tTxEcDm87j/Yn0b2NkiJNccpb1b3AiElwMcJwMcpVaxEYgbb7yRxx57jLVr1wY+z6+WCGBBEIQyscj1N6WQbO7bT1Vc8LpkRW0c3McUV9Sfeaz+GreiAlZ0eD/nn9+jj/emu7P3bbW/yV2Yb1TlMNshSs1XxC9t1rdmURXA5W/Sgu6Wv8ETL3lneMOcdC8BbFreLbbjFpk+wF4OcIRcLoR3nMi4zQE9h4tpg+Z+bdYB9lnwFcVt9hHbzteGubLOkct+3UHmBSzsy052U6G1gmIJuo6+3b4n+PWROlsEZIAh2kK4UkQgwgSwZVkZBxjCBbB57ty5c3PujxqB2L59e6Q6IAJYEARhUnGKxcZ6aKzfe4RsoXS4BXBMB7i+VnHrVYpffVGxYLb3+3H4flogb92t+7eOjVns6NJxkLAOFznZXFt0ejnA89oVHzhX//zV67PiyDh4c0KiFuAtGE3cwtQyLubunuBBFkH4ObNxeg5HaYPmu7DPfP1vb7+lyD7AEM0BbqwPXpzW1ZfNC3uNXHbW8RKmTld3VogADhP15uLWTwCb15uLvqAuEE5h7kXGrQ7YRnNzM1VVVfT19TEy4p+ViLIIzk8w9vf3Mzw8nLctP/zEdhSneXR0NNOv2Ok6+yEZYEEQhEnEKYDjOqV7K8U6wAAnH6F4yyn+FwNVVSoTH9m8U+c3LUuLDD+h48TtzGZE6aLc5135TkVNNfz6XnhugxYdmahFiNPsrGNEnGVZGbFthM6cNi1YdnTp/sdOorRbA2+h7RziYIRvcARC3waJ0uoq7YROTOSKK/dr20IXwYXXiiKAlco6s0EOeqG9jZ37WawDrLPBej+9hm6Y16/oCG/tlqnl8/5lxHaX/zaUUrS1tentBQjTYhxgp/sbVieoVpzFdlHqgDjAgiAIk0pbk/6aHaaxAI7pAEfFTIh7dQdstf/eLYhYyymAB4ctOndoJ3HJvNzndcxVvOsNWlz//n5939ZYAjg3m7ujS38t3dqUFX/VVYpPvE0/78vXuh3g4G4J7uNxijjT2WLRnOyirFLELbxiHW4BbPo1e9WxLCtSLb+ew+5Mb5AwDesBDMFdIJyiNrSNXIgDXFGhAkc8m1zvikwG2H+fg9qgQXjcwmCmrQXFIIrJALud2GId4CBhGidqAd4CuLGxEaUU/f39jI+Ph25jb0IEsCAIUwqlVEYwJtmbt5w4RX1zg440JIHJ0L66A7ZEzP8anELklS36530WeLvHZtHgqztyHeAoYjszdMM4zSZqsSg3P/zRN2tRfM9jcN/jWcFnBIzZTpTjMbzocpoh6wC7e85C9LiFl2PqFn9BbdAGhmB0LLtgLk4dyC7Wm9WSu4jQUwDH6Gzh2QUiJ29sO7M+uWYzctkvlgD+wnRo2GJgSF+ELbUvwgIjEGYMcpgDHFEAR3GAC+kCUU4H2OR/ndsJwj0GGaCiomLKxiBEAAuCMOUwX+VPFwfYKeqTPKaMAN5euAO8qztXlAbVMY7qll1a6Cz0ySd71TFt0LxEKUBbs+Ljb9U/f+U6j84WIcJetznTInBszPKtddA+ep9/+WcrL28cRSyCjwB2ObotAW3QokQt/Op47WcUBzjqGGlnrtn9+mIdYAg/ptmt2X0tprOFmSi5fY9/JwlgykQg4rRbi1IHsg6w33jnqRaDEAEsCMKUIyMWE4oKTAYdZTimxXOzzmwcVxayDtkLr1q87FqU5maJI2oB8dzmvKxxp+Vb6+NvVVRUwF2PZDOiUQVwZaXKCC/j7ppaKxZnhfq736i39dg6uPX+7OudI5fDhqR4ibj1W3WtJfNsVzZgEVxcoe12Zt2iNkiYhg3BAKityS6KdO/vrhgCOCwDDP7ObMbRbdat9aqrdA9f9xCQqLUyTnOX/75AvAhEIQ6wEbQLFiwIreN8vlsANzbqD2VQNMHpAEcRwF4OMCQzda4ciAAWBGHKsXK5Fg2HLJv6HSAMZXWAd8DW3dFdWYDTj862UfNqgeZVxzjA8TLA+jZ/sV1+rVktioWzdd54s/0N7ma7lrtftBfuhXBeDnB9reIzF+raX/xp1gU2YnZOa/DIZa9jAlj3qr41PWyb7T7A3f0wOubvqkY5nqBFcFB8Bhi8owmj9kVBRYWe7Jap49fZIkKExE+YOh1gpVSoCxyaAY4YgQhzgC3LCoxAhAlo48oeeOCBgXUAhoeH6e3tpbKyktbW3BPmjCb4DbmIG4Hwa7k2VRfCiQAWBGHKceU74ZFrFG973WTvSenIxDqSdIAdzmxcB/h1q/VzX+qE3/xF3+fnAC+crVfvb7NbrsWp5RZxGVG62Pv5xm3etF27f9192g0ME3CQvxDOL25x2blZF/i2B/R9GaGd/y13Hl6L0160BbA5rqpKOGipFvPX35H7+iidGXSd3OMx7HLFLYK7QERbROhVy2zPTNGL7AAHdrbwXtjndIAhuFvHoD2IpaY6d2y4kyhdICA8A9zf38/IyAgNDQ00NDTk15mnP7BO8enECNGDDjoosI7zuXPmzPHsrx0WTYgTgRgbG2P37t36YsPHARYBLAiCkDA11YojD1ShzttU4vjD9LEcc3Byx5TrAOufoy6Cq6xUvONU/bNxW/0ywJWVKjNdrjPmgrv2Zr3Yq6sPNm6zQvPGTgHsFNpRRlc7HeCJCcuztzFoF/jyN+nt/Skdv7WbWywOj1hs3K6dUufo6n+xR1Z/6VqLIcdX+bsiOsBtTfrCo6c/2+N3YsLKDBIx71V7k//itGJGSccRpVFr+UYgXE51YKzDsV9+n4uoXSCMA+zn4Aa5v5B1T3fs2OEZTYjjAJtabkfWEBa3cIrw3bt3MzEx4VvLGeuorKz0rCMCWBAEQYjNW05R7PmD4uIzkxPAC2frzOqWXdl8blQHGODC03L3zWvsssG4zc9ugP5BLWrDsrKgncNzj9c//+AWPayjrsbfaV3iiFvEEaWQG03YvFNnSOe2QUtj/jk4aGm2DmQvAqJELdwRiFe26L7AyxboiznDO06Flct1jR/+Pvv6bbYoCxtY4tU2bNN2PQJ7wSxobsht7ebZWiykW4LByzF1xydK4QD7CWD3ZDezv16dIJxxCT+cwz3cix2dhEUgglqgAdTU1NDe3s7ExISniC7UAfYiLJvrdIDHx8fp7vb4QLie61VLMsCCIAhCUbSFfO1cLDXVivntWnxttF3BqGIR4KgD4YAl+uf5s6CpwX9/jdv48HPZOlFcWYB3v1E/77u/1b8vX+SfszWLyDZtt+IL4DZ9u6PLP/6QrYNdR98W4wD71aqoUHz1Mn08X73ByizoMl00OuZEcLVdsQ531hi0yAa45f58F7iYzhY7XQ5w0NS5kVGLvkHtWAddGGXquLTZLldrtygOcJDQrqvVC/vGPBb2OQnL8IY5wADz588HYNu2bXmPGaG5bNkyqqurGRgYYGhoKLCWnwAOc2aNA1xRoaVgoW6zRCAEQRCEvZ7FjsEVjfXBItaNUirjAvtFEjJ17L+TDz9nFttF38fTj9ZuXe8AobW8IhBRay1fqI/lgaesyFljc+Gweac+rkVRRGmbvg0SpYZzjtf37+iCZ9ebWti1QktFqnXMIYpTj9Jjrf/zl4UuuMvP5jr7Q0Pu1Dm3MHXmmoMujPyiCW5RG6WzRZAADqrlJCwDHCZKIVgAO4WmEdGF1goTpkZs77vvvoF1nM8VASwIgiBMSRY7/n7FiT8YPngevP5I+Mj5wcLPOLPGAY5Tq6Za8Y7XZ3/3E6W6jr7VC/vidbZ404l6wdydD8PfnrBboHV4v3bBLO1m7ujSQxgKcoC79dfrL77qX0splXHZN7riFoW4zevsWvsvzq31lffp37/9v7ki1mTDwxZjeonFFzbl1zJC2rc3cdSohTsC4erra1zn3R655ijt1oJqOSk2AgH+C+FGR0fZs2cPFRUVzJo1q2gBbO539xYG3UGiu7ubqqoq9ttvv5zteSECWBAEQZjSOAVwHFfWMH+W4s/fruBdpwWLTFPHiIm4tUwMAvzbrUHW0S7EAZ7dqjj7OB0J+dmf9H1+EYjKSkWHYxFhnC4QDXWK+lqdxe0dcLiyS7yfv1QbhFm3OVbHCX0b5jYfd5jirGN1PvubN2nR2Dtg0TugM9dmWlzUOs5aBziOa5XWVvzkj95dHMJc2ZZGfZHSN5jb4zcTt8g4wGZhX/42IjvAEQSwMwLhlRUuJgLhHDRRUVFRtACO4jTPmTMnI2oLdYBlEpwgCIKw12OGYUBhDnBUlszL/T2qK2s45pBsN4YDfIQi6L7Jxpk1AzqiCEXDe2yhbRbk+wlgKC5uccgyffunh8PzxksduebxcSvjykZrI5cbTQgS21e82URA9O/mmDrmhue1vQTwCx5i+3MX6e1872bd1cMQNWqhlMoIU2ct07HDdNEIzgDn5oX9iDIMo76+nrq6OoaHhxkYGMivFcEBNsLU7QC7F5qZdmNheeNCBLCpPW/evFCh7dw3cYAFQRCEKUmxDnAhdQqppZTixn9R/Ov7dV7VD6cz++gLdq0Ywv7s47LiCaLFLdZvJZYoBXi37Zhfc5tuS1ZR4d9Fw5k33tGlxfmcVj2BLQynMB0by07t8xLb5gLDOM2d9jflUTpbuLtADA1bbNymF7U5j2vVfrp93sgofPlax8hqE7WIMPjFHbfoHdARlJrqrFtuhLSXexs2BjnvmBzb6B+0uP4Oi/Rz2X0PEoxRHGATgXALU/dCsyQdYKegNa+XCIQgCIIwbXEuglswK7muEwtmaZHn/D0uxxyi+OxF4f2ejWDsG9S3ccR2bY3i7XbeuL052CVcatd55HmLiQktSp1tzIJ45xu0OPy/v+vIxT7z/V+biUBsj7cADrICeMsu/frRMe3oNtTl13Lmp8fHrVi1nO3WJiYsXtqsh3jsuwCqq3Jrfem9ispK+OntWRfYLCLs8G5h63lMmVjHJn27okNfAAEctq/+vN39GKzb5BO3CM0A621t35N9/TPr4eJ/s3jvVfkCOKiNWSGL4NwOcJgADmpNFlQHCneAg9qgiQAWBEEQ9lrK5QBXVakcJzHJWs64RUVF1smLyqVnKpSCIw8Iq6MF0t+f1b/HiVrMn6U485js70FRCyOAN23POqVRax2l5yfw50ezjrhXtwnQAz7mtevWX1t3Z7PGHRFq1dbotmHjdtswr/yv4YAlilOP1ML/MXufjNscpbWb25l9waPWsoWKS87Q+/P5n7gEcNwuEF3Z+16wxfaBS7P3mWiC1zS3UkQg4jrAfoMwojrAUQRwUC3JAAuCIAh7PU5xk2QGGHLd5kQFsONv8ry2rCsYlaMPUTz4fcX1n43mNK99Ud/GPaaLz8hu30+Ugha7FRXa/d2wNV6t5YsUJ66CgSG46kbTlcH/+c4Fd507ord2g9zhEUYo+tVabreyM50tOmO4zW5hmhGlLrH9hUsVtTXwyz/DYy844hYRR3F7RSCet91kZ62VK1cCcM899+RtoxQRiCgOsGVZJcsAFxuBaG3V1npXV5fv6/dGRAALgiDMIOpqs9PCkhbARjBWVma/Mk+mTlawFSq0jzlEhQo/czyjY/o2jgMMcM5x2e4KKxb716quUiycrSMFpo9ylFyu4RJ7muAjz+vf3S3QnCx15I3jdJuArDDdsC3bbu2AJX6xDn3/hq0mAqHvj+I2uxf2mXZr7lpL5ys+8ib981dv0M+xLCvrbIfELTwF8Ebyar3pTbrI7373u5zXW5YVywHetm1bTieJOA5wf38/w8PD1NfX09DQ4Fmnra2Nmpoaent7GRwczHnMCOAoDnCY2Db7u3379sApensbIoAFQRBmGBeepr/uP3ifZOuYuEUhrmwclpTJaTZuaaG16moVH3+rviB4/ZEhtexjeugZfRvVlQW44HXQUJf9PZIDXEDe+JTV+vaXf7ZCHeB97DobzII7I4AjZIDzIhB2La+4xfvP0e/TY+v077u6dfu5tibvHLRnna7sfc97RCBOOukkZs2axfPPP8+zzz6bud9MbQsSpQCNjY00NjYyPDycExvYuFGr7UWLtF0eZbFdkNBWSvm6zUZsR8kAd3V1MTY2RktLC7W1tXmPNzU10dDQwODg4JSKQYgAFgRBmGF8+2MVPPKjCupqkx29bJzZJEWprpP9Oclas1qg3vH3f1HM1m6gv6bvu0Nx+Irg1xph+uwGu1YMt7m5QfHWk7O/BwtgvR8bt1mxXFnQ2WmAX98LT72i7/NrWWemw23cpvv57u7R/X2jfDPgFMCWZXlmgN11Nm3Xi/NeNVnjCEJ7VrOOnuzugdExi4kJyzPbXFVVxbnnngvkusBGQAbFHzLH5CFMX3rpJQBWrFiRs51CBTD4xyC8HOCdO3d6OrhB8QfQQnvBggWedfZmRAALgiAIiWB6tLp7ApcaZ9Y4biwhDkqposW2UirShYf7PYsTgYBsDEKp4FHSSx2t3UxUIOpx7b9E8dpVepjG7h6orfE/16bOhm25PZTDOnxANqrz/CYtgrv7oLUpm0F20lCnF/aNjuk6nTFEfWVlNh60s0sv1BsY0nXMoA3D+eefD+QK4C1b9CxoI26DcAvTiYmJjAA2k9mMqNy4cSNDQ0M5r48rgLdu3Zpzv9MBbmhooL6+npGREfr7+/O2EdZtIqjO3owIYEEQBCERzjoWPn+JboOVJHPbtPiC+AM34uKMQSQpto0za4grtk8+Ai46HT75NgIFt3FM167TUYHWJmisj/4evves7HNXdPgL2kVz9MCSbbuzQyyiOs1HrNDH//Jm+Okf9X0HLPYf1mHiFuu3OrpNRHCAIXfBnVf8wXDaaadRX19POp1m0yb9xA0btF2/zz7h2SJ3J4gtW7YwNDTEnDlzMm3FZs2axerVqxkcHOTee+/NeX2pHGAj1s12gtxmPwcYEAdYEARBEAy1NYovvbci9Ov+YlFKZfLG0yVusdRlIi6IWauiQnHdZyv4xkeC/8wbQf9qjCEYTi44BRrr9c9BUYvKyuw5WpPJNUerUVWluPgM/fNVPzcL4Pyfb0T9hq3QafoNR13Y54hb+HWbAGhoaOD0008H4M477wRg/fr1ACxbtiy8jisC4Y4/GM455xwAbrvttpz7o7iy4C2ABwcH6evro7q6OiO2nTEIN2ERCGcdcYAFQRAEoYwcdYD+uv+wfZOt4xTASXbRcDrN89rzh0uUCqd7DtGdUkNTg+Jtr9M/H+ThlDoxx/TgU/FEKWSd5u4+/btftwnIXXCXdYCjvX+LHVMFn98Y3NniqKP0iMLnnntO1yvCAX7xRd1bz8QfDE4B7MznFuMAm/1cvHhxxkUPyhtHEcDGARYBLAiCIAhl5Np/Vrz0CxXYXqwUmIV9syOOJi68TvbnpHPNTrc5rgMMcNUHFZ+5ED7+1uD3wzizxgGOKkpB541POjz7e7ADnG25FicDDHDB6/Rrf/JHi+fsFmheDjDAAQfoySnr1umWE4UIYLcD7BbAqVSK+fPns2HDBp5++unM/cUIYC+3OSgCEccBlgiEIAiCIJSR+lrFvouSFb+QjSYsTLiH8uzWbMeJQkRpHIrNNc9rV/z7BytYEJK/Nu/dnt7CapkWZ6AzwH54OsARa51xtN6vFzbBPY/p+7wywAD7778/AC+8oMfbxRHAUSMQFRUVnH322QDceuutmftffVW3p+joCBgpSLAAdopt4wB7TbcTB1gQBEEQZjjHH6YXmH3oH5LPNRthmqQDDG4BnNxxGWfWECcCAfCWk3XbtOaGOBlgu1bEaEdVleK9Z+mfR8d0z+blPl00jFh96aWXGB8fTyQCAdkYhFMAv/KK7jsXljeOKoAPPfRQAB544IG8bYgDLAiCIAgznKYGxb3/VcFH3lxGtzlhB3gfR8eJuKI0Xp3c3+PmjRvqFA98T3H//yiaGsIzwC9vIdNv2Ktlmh/Ozhb7LoCaau9azc3NLFy4kJGREZ544gl6e3tpbm6mvb09tEbUCATAG97wBgAefvhhRkdHsSwrs+AuTGx7CVMvsX3GGXqV4Z133snY2FjONqIsuPNzgF955RX+9re/+Q7ZmExEAAuCIAjCXsgK+2v+fRdOl9Zuub8XEu3Yf4li5X7B70dbs6KlUbd1A31MUfoNG/ZdpDgtpX/2iz9k9seOQfzpT38CtCD1a8/mxAjTzs5ONm/eTFdXF42NjZ49hJubm1m6dCljY2OsX7+eHTt2MDg4SFtbG21tbYF1Zs2aRWVlJd3d3Zlewl5ie/ny5RxwwAF0dXXx0EMP5WwjShs0v/HON954IyeeeCJf//rXA/dzMhABLAiCIAh7IZ99j+K/P654++uTrTMZArilkUAXt1jMEBYozNW+8p2Kyko44+jgfTQC+K677gKixR8A2tvbOfLIIxkYGOBLX/oSoCMVfuLZLLh7/vnnY7Vbq6ioyIlbjI+PZ+ITy5cvz3mucYHvuOOOnPujRCAaGhpobm5mZGSErq6uzP1BzvZkIwJYEARBEPZCOuYqrniLoqEuYQe4TK3dGupUJoqQZNQCcuMWcaMWAKe9RtF7h37/gzDC9L777tN1IwpggE9+8pMAXHPNNUCwSDzwwAMBveDOCOB9943W88/pznZ2djIyMsL8+fNpamrKed6ZZ54JwO233565r7+/n8HBQerq6mhsbIxcxyACWBAEQRCEvZJ9Fuj+t6mD/POupaJcC/v2KdIBBt1ZJAzjAJt4QRRX1vC2t72NxYsXZyIDQSLRCG2nAI5ayylMgwTpySefTF1dHY888khGxJopd4sWLQqNdnjlgEUAC4IgCIKwV1JTrXjuZ3pxWdIYZzZ5B9i5sC+54zICOFM3hgNcXV3Nxz/+8czv7hZoTgqNQEB0AVxfX8/rXqenmvzf//0fgG9cIqwO6Ilzmzdvprq6miVLAtp2TBIigAVBEARhhtNYrxJ3fyHrzBYSSyikTtK19ttvvxxnNI4ABrjssstobm7ObMsPZwQiags0gxGmmzZtCnVkTznlFAAeeeQRAF5++WUgWtzC7QCb1y5btozKyspI+1pOqqI8KZVK/QdwLLARuDSdTo/Y91cB1wArgEfT6fTH/bciCIIgCMJM5pIzFetetXj3G5MV2zkZ4ATd5vr6epYsWcLGjXpsXFwB3NrayjXXXMOf//xnTjrpJN/nLV26lJqaGjZv3kxFhfYuowrg4447DoDrrruO1atXA/4C+KCDDgK00wxZBziKAPZr7RbFPZ4MQh3gVCq1GliYTqdPBJ4B3up4+Fyg036sIZVKHZ/MbgqCIAiCMNVZtZ/i1qsqOGRZwgK4TA4wZGMQtbW1nm3Mwnj729/O1VdfTXV1te9zKisrMxEJMwUuqtg+99xz2X///Vm/fn1mmEaYAH7uueeArIsbRcS6HeC9Of8L0Rzg44A77Z/vAC4Ffu547DbHY8cDOWNEUqnUB4APAFxxxRWcdtppRe5yYYyOjtLZ2TkptYXoyHmaGsh5mjrIuZoayHkqLZYF7U3zGRxRMLKFUr21Xudp0SI9Kq6jo4MtW7aUppAHS5cu5ZlnngG0c9zX10dfX1+k177vfe/jM5/5TGbIRUNDg+fnraamhqqqKjZu3MiLL76YGfPc2NgY+vmsqtKScsOGDXR2dvLEE08AeoBGuT/b5jwFjYqOIoDbgM32z93ALNdjPT6PAZBOp68GrrZ/tdyPl4uwN0LYO5DzNDWQ8zR1kHM1NZDzVHru+pbF0Ajst2/p3lev87R69WpuuOEG9ttvv0TP4eGHH57p0Ru31sc//nG++c1vsn37dpqamli1apVvV4cVK1bw3HPP0d/fn+kCceyxxwZOgoPsOOWuri46OjoyUYgjjzyy7J/tKP+eoiyC2wO02D+3AbsjPiYIgiAIgjApHHmg4viVyS/se8Mb3kBTU1Omj25SmIVwEK/dGkBdXV2m44R74Z5fnQcffJCenh6ampqYPTt8bF+c8c57A1Ec4DXAp4DrgdOB+12PvRH4q/3YT0q9g4IgCIIgCHsrK1eupKurK/FOB6YVGsQXwAAf/ehHef755znvvPMCn3fQQQdxyy23ZAZiLF++PNZ4523btjE2NharhdpkEOoAp9Ppx4AtqVTqPuAQ4DepVOqH9sO3AovtxwbT6fSDye2qIAiCIAjC3kc52nwVK4Cbm5u57rrreMtb3hL4POMA//nPfwaiT5yrq6ujo6ODsbExfvKTnzA6OsrChQtpaGiIva/lIFIbtHQ6faXrrg/a948Bl5R4nwRBEARBEAQHc+bMob29nT179hQkgKNiBHB/fz8QXQCDzhp/+tOf5tOf/jSw98YfQAZhCIIgCIIg7PUopTjuuOOorKzk8MMPT6yOM2sM8SIMH/7wh5kzZw7d3d2xX1tuRAALgiAIgiBMAW666SbWrVvH0qVLE6sxe/bsnI4PcRzgxsbGjPsL4gALgiAIgiAIRdLU1BRLkBaKGYgB8V1c4wKDCGBBEARBEARhilBMy7XGxkZ++tOf8pa3vCW048RkEmkRnCAIgiAIgjAzMA7w/PnzC+ricM4553DOOeeUerdKijjAgiAIgiAIQoaDDz4Y2LsjDMUiDrAgCIIgCIKQ4bTTTuMf//EfOffccyd7VxJDBLAgCIIgCIKQoaamhm9961uTvRuJIhEIQRAEQRAEYUYhAlgQBEEQBEGYUYgAFgRBEARBEGYUIoAFQRAEQRCEGYUIYEEQBEEQBGFGIQJYEARBEARBmFGIABYEQRAEQRBmFCKABUEQBEEQhBmFCGBBEARBEARhRiECWBAEQRAEQZhRiAAWBEEQBEEQZhQigAVBEARBEIQZhQhgQRAEQRAEYUahLMua7H0QBEEQBEEQhLIhDrAgCIIgCIIwoxABLAiCIAiCIMwoRAALgiAIgiAIMwoRwIIgCIIgCMKMQgSwIAiCIAiCMKMQASwIgiAIgiDMKEQAC4IgCIIgCDOKaSWAU6lUo32rJntfBH9SqdQ+9q2cp72cVCq1eLL3QQhH/t83NUilUkdP9j4I4ci/p6lDMXpiWgzCSKVSbwQ+AGwBrkqn052TvEuCB/b/VL4OLAbemk6nRyd5lwQfUqnUmcBHgCHgp8Dd6XR6cHL3SnCTSqX+AbgI6ET/v2/zJO+S4EEqlToc+C9gDfAv6XR6ZJJ3SfBAtMTUoRR6Yro4wBcC1wBPAB9MpVInTvL+CB6k0+l+YBhoBi4FucLeG0mlUpXAB4Gr0f+DeS1QLedq78K+SLkIuArYCXzavl/O097Ha4GvptPpfwL2m+ydEXwRLTFFKIWeqEpgvxInlUo1AAcAG4Fu9NXa34F7gLcDR6VSqZfEDZlcHOdpfTqd7kqlUtXAS8BvgY+lUqk70un0xkndSQHIOVcbgBHgObSr+CJwBNCO/p/N8CTtogCkUqlaoDGdTu8GngcuT6fT21Op1AvAz1Op1Lx0Or19cvdSsM9TfTqd7rLvGgLOSKVSnwG2pFKph4Fb0+n0S5O1j0Lm/3sHA+sRLbFX4zhXL6fT6T2l0BNTzgFOpVKrgcfQiv9GoBJoBY6xv1Z6DKi37xMmCdd5uimVStXbX1EcBLShP7QflIzp5OPxb2oMuA14N7AW2A68H7h8knZRAFKp1DuAZ4CvAKTT6Zdt8auARuAVEb+Tj+M8/avj7gZgLvAp4MPoC8mzyr93giGVSr0TuA/9/7Yb0+n0GNAEHCdaYu/Cca7eB/wqlUpV2HriEPT5KUhPTDkBDCwDvpBOpz+O/p/MRcAdwKWpVKoxnU4/Bexj/ydMHsvInqe1wCft+/8MPAL0A+8BPgqQSqWm4mdxurCM7Ll6GvhYOp3+G/An4L/T6fTFwO1AXSqVqpCv2MtPKpWqQ4uoy+zfz7BvK9PptIUWwJZ931I5R5OD6zypVCplRO796G9cF6XT6W70Ny1j9mvkXJWZVCrVAhwOXJJOpy8HOlOp1PnAz9FaokG0xN6B61x9GHgZHdEDrScepUA9sddHIOwVfv+EdqQeQuc9TgJ+ic6+/SfwZeBJ4BOpVOo+oI4pcGzTiZDz9B/AN1Op1CHAUegP6Q7gN+iv20mn0xOTsNszkpBz9TX0uVoJ7As0plKpY9Cu1R45T+XDcZ7+ADyeTqd/Yt9fD1yYSqXuTKfT4/bTjwUaUqnUN4HZ6AWMfZOw2zOOkPP0rlQq9X/pdPrRVCp1D7A6lUo1AWcD6wDsCxghYRzn6Y/AI+l0+jOOi48ngKF0Ov1AKpU6F/2V+hpES0wKIefqaXRkBXS2/kPAbgrQE3u165ZKpWqALwCbgEXA99Pp9PXAslQqdXw6nd6B/gP+yXQ6/a/A39ArOJ9Ip9O3TdZ+zzQinKed6PP0IeDfgZ+m0+l3pNPpT6TT6X+ZtB2fgUQ8V2vQ5+oH6D/SnwfWpNPpj07Sbs84XOdpPvA/jofvRl9Avs9x3zLgBGBdOp2+OJ1Oi/gtAxHO03Zs1x4dL/otcBzwYDqd/koZd3VG43GefgA5Fx/LgRr756+j/x94GaIlyk6Ec7Uf2XP1beD6QvXEXtkGLZVKvQWYB9wJ/DidTp9i33+dfd8m4NPpdPocx/0fTafTPalUqsrO8ggJU+B5+rC9ehM7xyOOYhko8Fx9JJ1O96VSqRpp21QeAs7Tj4Fn0+n0N2wnZB/gq+gLy9+g86XrHYuuhAQp8Dz9OZ1OP23HVsZ9Ni2UkJDz9Ew6nf5P+yv2fwY+B7wZff6eFC1RXgo8V0+l0+ln7OfF1hN7lQBOpVJzgB8Bg8A2dMb39cD/pdPpn9q2+C+Bk4HvoXNUb0RfaX9RvkoqD0Wcpz8DX5LzVD7k39TUIMJ5Wgr8Cjg3nU7vSKVSq4DfoS9cLkun0+smaddnFEWcpw3ojh3PT9Ku///t3U+IVWUYx/GvaGITlLWINqFCbaRo4bMLQSSyLFq4k6ByZUQEMRVFgbSphUQRQRRJ0T9cBC1aaQUFQoseF4EQtIixVWQhTFBQJi2eI15iZC4Dc855O98PXO7M4dzhvfy4cx+e89z3TsoacvqGGhn6E1j09dSfIbMa2wjEReCdzDxIfYJ2J9XduC0ibs3Ms9Qb8z3AE9Q/lqOZecQ36l6tNScLqv75mmrDajn9BJwA9kXEJmqWfjEz9/hm3au15rTX4rdX8+R0EtgbEdupnQReycwHfD31brCsxjbcfZ56omTmrxFxI7BMzSEuUnOJ11L7wP0BnOlu6pc5tcOs2jBPTjdQH7K6QH07n/pnTm2YJ6frqXGHJaro0jAGy2pUIxCXdLNT1wEfZ+b+7tjb1J58m6lLfssDLlGYU0vMqg3z5AT8bnd+WObUBnNqxxBZja0DPGsTcCoidlGXZ48BP2Tm+WGXpf8wp3aYVRvMqQ3m1AZzakevWY2yAwwQEfuAz6j5xI8y84OBl6QVmFM7zKoN5tQGc2qDObWj76zG3AH+jdru4nW3YBo1c2qHWbXBnNpgTm0wp3b0mtWYC+DTmZlDL0KrMqd2mFUbzKkN5tQGc2pHr1mNdgRCkiRJWg9j2wdYkiRJWlcWwJIkSZoUC2BJkiRNigWwJEmSJmXMu0BI0iRExFPAUeBQZr53hXMWgGeApSudI0majx1gSWrDAnAEeGTgdUhS89wGTZIG0HV9nwXOAmeAh4BDwH3AXcDVwI/A85n5aUQsAdtm/sSLwEvd7SBwDfA58FhmnuvpaUhSk+wAS1LPIuIOauThZ+AtquC95Ftq1OG57vf3I2IL9Q1JAN9TBe8n3TmL1NeHvgbcC7y5zsuXpOY5AyxJ/dvT3b+amcci4mbgBWAjsJMqcDfPnL8dONn9/EtmHgeIiHe7Y4dnzr17ndYsSf8bFsCSNLwN3f1VwMPAl1RH91FqJGILsNK82gbgAnA/8E93zCt7krQKC2BJ6t9X3f2TEbGRmv2Fy4XwAtX1vXPmMcvAReCWiHgQOEWNPuyiiuYvqO7xDi53iyVJK7BTIEk9y8zvgKeBm4DHqQ+vAfwFHAduBw4AJ2Ye8zc1N7wV+BDYDbzcHdsNvEHNAH/dx3OQpJa5C4QkSZImxQ6wJEmSJsUCWJIkSZNiASxJkqRJsQCWJEnSpFgAS5IkaVIsgCVJkjQpFsCSJEmalH8BzEz7kYlWlcQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "model.predict(n=36,series=location_list_transf[100]).plot(label='Predictions location 100 (Scaled)')\n",
    "location_list_transf[100].plot(label='Location 100 (Scaled)')\n",
    "plt.title('Predictions in Location 100');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "05ddaced6f6f40dfa047e4ec06b1a8b1",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Predicting: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "aa44dcba74584d1bb1e1aea92edf7637",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Predicting: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0520c9f8cdf946899cd51c7e3c6b2445",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Predicting: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "aba8cd012148492ca183856af70c3791",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Predicting: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "85673b2706aa47408ac7ce4dab617321",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Predicting: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1355790b378f42e2925afb813fadee1e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Predicting: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "423df68f223c4353a31230c369a1a71e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Predicting: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1c039330bab645678b148fdcfd32e26f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Predicting: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d841d0009137470a86093fcf379e0bc3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Predicting: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "edb1c852d187465c916730be084a4de5",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Predicting: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "44cb3768de964bbda88b750e5b04be49",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Predicting: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8763eee99f4c413888206378c5a3a342",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Predicting: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "23a4ca93cf1746a9b980321896525c69",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Predicting: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ad5acecbc6f5482d85e3c349ee7b483b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Predicting: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "243ce955a7e741e5a11c48aab471ca70",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Predicting: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "152d1684835d49a08828164befc59ce1",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Predicting: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "aef9bbe619224d1aa43293f429518047",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Predicting: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1cd7f9e0d08d4186b5d134b3b159fde4",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Predicting: 0it [00:00, ?it/s]"
      ]
     },
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       "Predicting: 0it [00:00, ?it/s]"
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     "metadata": {},
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    {
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       "Predicting: 0it [00:00, ?it/s]"
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     "metadata": {},
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    {
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       "model_id": "d1ec7c34a9e44436a0e3d31e35799eb4",
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      "text/plain": [
       "Predicting: 0it [00:00, ?it/s]"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "model_id": "8788de1c1b834121a866a5395415f44b",
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       "Predicting: 0it [00:00, ?it/s]"
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     "metadata": {},
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    }
   ],
   "source": [
    "# Inverse transformation of time-series data\n",
    "\n",
    "for location in range(df['location'].max()+1):\n",
    "    scaler_co2.fit_transform(TimeSeries.from_dataframe(df1.pivot(columns='location',values='co2')[[location]].reset_index().rename_axis(None, axis=1),time_col='date'))\n",
    "    if location == 0:\n",
    "        predictions = scaler_co2.inverse_transform(model.predict(n=12,series=location_list_transf[location])).pd_dataframe()\n",
    "    else:\n",
    "        predictions[str(location)] = scaler_co2.inverse_transform(model.predict(n=12,series=location_list_transf[location])).pd_dataframe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
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       "      <td>12.627400</td>\n",
       "      <td>5.296569</td>\n",
       "      <td>5.448915</td>\n",
       "      <td>6.018748</td>\n",
       "      <td>9.731688</td>\n",
       "      <td>7.527030</td>\n",
       "      <td>5.880069</td>\n",
       "      <td>4.085052</td>\n",
       "      <td>8.011942</td>\n",
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       "    <tr>\n",
       "      <th>2020-02-01</th>\n",
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       "      <td>7.332277</td>\n",
       "      <td>4.533532</td>\n",
       "      <td>5.210137</td>\n",
       "      <td>2.128103</td>\n",
       "      <td>13.259288</td>\n",
       "      <td>...</td>\n",
       "      <td>10.843094</td>\n",
       "      <td>4.539025</td>\n",
       "      <td>4.668463</td>\n",
       "      <td>5.157914</td>\n",
       "      <td>8.339808</td>\n",
       "      <td>6.450472</td>\n",
       "      <td>5.903692</td>\n",
       "      <td>3.786427</td>\n",
       "      <td>7.360987</td>\n",
       "      <td>8.853570</td>\n",
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       "    <tr>\n",
       "      <th>2020-03-01</th>\n",
       "      <td>5.087947</td>\n",
       "      <td>4.261081</td>\n",
       "      <td>10.238750</td>\n",
       "      <td>5.189718</td>\n",
       "      <td>4.861731</td>\n",
       "      <td>6.442538</td>\n",
       "      <td>4.435293</td>\n",
       "      <td>5.110269</td>\n",
       "      <td>1.948161</td>\n",
       "      <td>12.956982</td>\n",
       "      <td>...</td>\n",
       "      <td>10.555189</td>\n",
       "      <td>4.429282</td>\n",
       "      <td>4.556059</td>\n",
       "      <td>5.033208</td>\n",
       "      <td>8.138172</td>\n",
       "      <td>6.294515</td>\n",
       "      <td>5.903502</td>\n",
       "      <td>3.815700</td>\n",
       "      <td>7.441686</td>\n",
       "      <td>8.874344</td>\n",
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       "    <tr>\n",
       "      <th>2020-04-01</th>\n",
       "      <td>4.771526</td>\n",
       "      <td>3.862153</td>\n",
       "      <td>9.281193</td>\n",
       "      <td>4.705782</td>\n",
       "      <td>4.405781</td>\n",
       "      <td>6.251610</td>\n",
       "      <td>4.030179</td>\n",
       "      <td>4.635135</td>\n",
       "      <td>1.805631</td>\n",
       "      <td>11.780393</td>\n",
       "      <td>...</td>\n",
       "      <td>9.623825</td>\n",
       "      <td>4.030463</td>\n",
       "      <td>4.144762</td>\n",
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       "      <td>5.727748</td>\n",
       "      <td>5.889614</td>\n",
       "      <td>3.255331</td>\n",
       "      <td>6.346014</td>\n",
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       "    <tr>\n",
       "      <th>2020-05-01</th>\n",
       "      <td>4.268914</td>\n",
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       "      <td>10.325798</td>\n",
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       "      <td>4.876879</td>\n",
       "      <td>5.540140</td>\n",
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       "      <td>5.148161</td>\n",
       "      <td>1.714446</td>\n",
       "      <td>13.082461</td>\n",
       "      <td>...</td>\n",
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       "      <td>4.473477</td>\n",
       "      <td>4.600576</td>\n",
       "      <td>5.083428</td>\n",
       "      <td>8.219373</td>\n",
       "      <td>6.357321</td>\n",
       "      <td>5.862139</td>\n",
       "      <td>3.102566</td>\n",
       "      <td>5.982933</td>\n",
       "      <td>7.211506</td>\n",
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       "<p>5 rows × 149 columns</p>\n",
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      "text/plain": [
       "component          0         1          2         3         4         5  \\\n",
       "date                                                                      \n",
       "2020-01-01  5.658098  5.062997  12.213481  6.168030  5.778757  8.012286   \n",
       "2020-02-01  5.443405  4.345372  10.440297  5.287899  4.942375  7.332277   \n",
       "2020-03-01  5.087947  4.261081  10.238750  5.189718  4.861731  6.442538   \n",
       "2020-04-01  4.771526  3.862153   9.281193  4.705782  4.405781  6.251610   \n",
       "2020-05-01  4.268914  4.281680  10.325798  5.218614  4.876879  5.540140   \n",
       "\n",
       "component          6         7         8          9  ...        139       140  \\\n",
       "date                                                 ...                        \n",
       "2020-01-01  5.287026  6.075351  2.029361  15.469808  ...  12.627400  5.296569   \n",
       "2020-02-01  4.533532  5.210137  2.128103  13.259288  ...  10.843094  4.539025   \n",
       "2020-03-01  4.435293  5.110269  1.948161  12.956982  ...  10.555189  4.429282   \n",
       "2020-04-01  4.030179  4.635135  1.805631  11.780393  ...   9.623825  4.030463   \n",
       "2020-05-01  4.480806  5.148161  1.714446  13.082461  ...  10.653256  4.473477   \n",
       "\n",
       "component        141       142       143       144       145       146  \\\n",
       "date                                                                     \n",
       "2020-01-01  5.448915  6.018748  9.731688  7.527030  5.880069  4.085052   \n",
       "2020-02-01  4.668463  5.157914  8.339808  6.450472  5.903692  3.786427   \n",
       "2020-03-01  4.556059  5.033208  8.138172  6.294515  5.903502  3.815700   \n",
       "2020-04-01  4.144762  4.580010  7.405398  5.727748  5.889614  3.255331   \n",
       "2020-05-01  4.600576  5.083428  8.219373  6.357321  5.862139  3.102566   \n",
       "\n",
       "component        147       148  \n",
       "date                            \n",
       "2020-01-01  8.011942  9.539513  \n",
       "2020-02-01  7.360987  8.853570  \n",
       "2020-03-01  7.441686  8.874344  \n",
       "2020-04-01  6.346014  7.575665  \n",
       "2020-05-01  5.982933  7.211506  \n",
       "\n",
       "[5 rows x 149 columns]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictions.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "predictions = predictions.melt(value_vars=predictions.iloc[:,:].columns,var_name='location',value_name='co2',ignore_index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "predictions['location'] = predictions['location'].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>2020-02-01</th>\n",
       "      <td>0</td>\n",
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       "      <th>2020-04-01</th>\n",
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      ],
      "text/plain": [
       "            location       co2\n",
       "date                          \n",
       "2020-01-01         0  5.658098\n",
       "2020-02-01         0  5.443405\n",
       "2020-03-01         0  5.087947\n",
       "2020-04-01         0  4.771526\n",
       "2020-05-01         0  4.268914"
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     "execution_count": 48,
     "metadata": {},
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   "source": [
    "predictions.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "location_list[30].plot(label='Location 30',color='blue')\n",
    "predictions[predictions['location']==30]['co2'].plot(label='Predictions location 30',color='black')\n",
    "plt.title('Predictions in Location 30 - Data NOT SCALED');\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Forecasting with TEST dataset\n",
    "\n",
    "- Import Test Dataset\n",
    "- Feature Engineering on test dataset\n",
    "- Match encoded location from df on test dataset\n",
    "- Join predictions based on location and date\n",
    "- Export Resuts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_raw = pd.read_csv('test.csv',index_col=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "test = test_raw.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Test dataset Feature Engineering\n",
    "test['day'] = 1\n",
    "test['month'] = test['month']+ 1\n",
    "test['date'] = pd.to_datetime(test[['year','month','day']])\n",
    "test['lat_long'] = list(zip(test['latitude'], test['longitude']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>day</th>\n",
       "      <th>date</th>\n",
       "      <th>lat_long</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3970411</td>\n",
       "      <td>1</td>\n",
       "      <td>2020</td>\n",
       "      <td>33.3</td>\n",
       "      <td>-112.8</td>\n",
       "      <td>1</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>(33.3, -112.8)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3970420</td>\n",
       "      <td>1</td>\n",
       "      <td>2020</td>\n",
       "      <td>39.5</td>\n",
       "      <td>-112.5</td>\n",
       "      <td>1</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>(39.5, -112.5)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0  month  year  latitude  longitude  day       date  \\\n",
       "0     3970411      1  2020      33.3     -112.8    1 2020-01-01   \n",
       "1     3970420      1  2020      39.5     -112.5    1 2020-01-01   \n",
       "\n",
       "         lat_long  \n",
       "0  (33.3, -112.8)  \n",
       "1  (39.5, -112.5)  "
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "test.drop(labels=['Unnamed: 0','month','year','day','longitude','latitude'],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "query = []\n",
    "for coor in range(len(test)):\n",
    "    query.append(df[df['lat_long'] == test['lat_long'][coor]]['location'].unique()[0])\n",
    "test['location'] = query"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "results = pd.merge(left=test, right=predictions, how='left', on=['date','location'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Export Results (uncomment lines below to export results)\n",
    "# results = round(results['co2'],4)\n",
    "# results.to_csv('Submission_Antonio-Aamer.csv',index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### END\n",
    "- Authors: Antonio Dagnino Mendez, Aamer Kazi\n",
    "- Date: May-2022"
   ]
  }
 ],
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