Time Series Analysis.ipynb

{
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   "source": [
    "<center> <H1>Stage E Assessment - Winter '23 </H1> </center>\n",
    "\n",
    "<center> <H4> by </H4> </center>\n",
    "\n",
    "<center> <H3> Yusuf Okunlola </H3> </center>"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Time series forecasting models for measurements of electricity prices\n",
    "\n",
    "In this quiz, we’ll explore and build time series forecasting models for measurements of electricity prices  of a District given the total amount of Electricity consumed in that District from 2010 to 2021.\n",
    "\n",
    "Data Set Information:\n",
    "\n",
    "The archive contains 92,016 measurements of electricity data gathered between September 2010 and February 2021.\n",
    "\n",
    "Data Source: https://github.com/HamoyeHQ/HDSC-Time-series-analysis-and-forecast\n",
    "\n",
    "The dataset is sampled on an hourly basis. It has the following features:\n",
    "\n",
    "- FullDate: Date in format yyyy-mm-dd  hh:mm:ss\n",
    "- ElecPrice: Prices of electricity charged in Kw per hour\n",
    "- Gas Price: power generated was done via a gas power plant, gas price is the price of gas at time-T\n",
    "- SysLoad: Total Load on system or Power consumed at time-T \n",
    "- Tmax: maximum temperature at time-T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import libraries\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt \n",
    "\n",
    "from sklearn import metrics\n",
    "from pylab import rcParams\n",
    "\n",
    "from statsmodels.tsa.seasonal import seasonal_decompose as SDecompose\n",
    "from statsmodels.graphics.tsaplots import plot_pacf, plot_acf\n",
    "from statsmodels.tsa.stattools import acf, pacf\n",
    "from statsmodels.tsa.stattools import adfuller\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\", category=FutureWarning)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data imported successfully\n"
     ]
    }
   ],
   "source": [
    "# load dataset\n",
    "\n",
    "# df = pd.read_csv('https://github.com/HamoyeHQ/HDSC-Time-series-analysis-and-forecast/files/7768846/Time_series_analysis_and_forecast_DATASET.csv') # online path\n",
    "\n",
    "df = pd.read_csv(\"dataset/Time_series_analysis_and_forecast_DATASET.csv\") # local path\n",
    "\n",
    "print(\"Data imported successfully\")"
   ]
  },
  {
   "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>FullDate</th>\n",
       "      <th>Tmax</th>\n",
       "      <th>SysLoad</th>\n",
       "      <th>GasPrice</th>\n",
       "      <th>ElecPrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2010-09-01 00:00:00</td>\n",
       "      <td>15.8</td>\n",
       "      <td>1688.215</td>\n",
       "      <td>3.69</td>\n",
       "      <td>23.710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2010-09-01 01:00:00</td>\n",
       "      <td>15.8</td>\n",
       "      <td>1669.195</td>\n",
       "      <td>3.69</td>\n",
       "      <td>22.635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2010-09-01 02:00:00</td>\n",
       "      <td>15.8</td>\n",
       "      <td>1491.980</td>\n",
       "      <td>3.69</td>\n",
       "      <td>22.565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2010-09-01 03:00:00</td>\n",
       "      <td>15.8</td>\n",
       "      <td>1330.760</td>\n",
       "      <td>3.69</td>\n",
       "      <td>18.910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2010-09-01 04:00:00</td>\n",
       "      <td>15.8</td>\n",
       "      <td>1247.940</td>\n",
       "      <td>3.69</td>\n",
       "      <td>18.030</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              FullDate  Tmax   SysLoad  GasPrice  ElecPrice\n",
       "0  2010-09-01 00:00:00  15.8  1688.215      3.69     23.710\n",
       "1  2010-09-01 01:00:00  15.8  1669.195      3.69     22.635\n",
       "2  2010-09-01 02:00:00  15.8  1491.980      3.69     22.565\n",
       "3  2010-09-01 03:00:00  15.8  1330.760      3.69     18.910\n",
       "4  2010-09-01 04:00:00  15.8  1247.940      3.69     18.030"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# inspect dataframe by printing out the first 5 rows\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(92016, 5)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check the shape of the dataset i.e. the number of rows and columns\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 92016 entries, 0 to 92015\n",
      "Data columns (total 5 columns):\n",
      " #   Column     Non-Null Count  Dtype  \n",
      "---  ------     --------------  -----  \n",
      " 0   FullDate   92016 non-null  object \n",
      " 1   Tmax       92016 non-null  float64\n",
      " 2   SysLoad    92016 non-null  float64\n",
      " 3   GasPrice   92016 non-null  float64\n",
      " 4   ElecPrice  92016 non-null  float64\n",
      "dtypes: float64(4), object(1)\n",
      "memory usage: 3.5+ MB\n"
     ]
    }
   ],
   "source": [
    "# information about the dataset\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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>Tmax</th>\n",
       "      <th>SysLoad</th>\n",
       "      <th>GasPrice</th>\n",
       "      <th>ElecPrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>92016.000000</td>\n",
       "      <td>92016.000000</td>\n",
       "      <td>92016.000000</td>\n",
       "      <td>92016.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>231.696688</td>\n",
       "      <td>797.623357</td>\n",
       "      <td>6.016163</td>\n",
       "      <td>65.798356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>4562.128748</td>\n",
       "      <td>613.520156</td>\n",
       "      <td>2.608116</td>\n",
       "      <td>213.144084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>9.900000</td>\n",
       "      <td>-1596.810100</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-924.820000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>17.300000</td>\n",
       "      <td>417.119800</td>\n",
       "      <td>3.936900</td>\n",
       "      <td>31.543750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>21.900000</td>\n",
       "      <td>856.467925</td>\n",
       "      <td>5.165600</td>\n",
       "      <td>48.715000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>27.600000</td>\n",
       "      <td>1221.293675</td>\n",
       "      <td>8.023300</td>\n",
       "      <td>76.495000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>99999.900000</td>\n",
       "      <td>3264.166300</td>\n",
       "      <td>29.990000</td>\n",
       "      <td>14700.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Tmax       SysLoad      GasPrice     ElecPrice\n",
       "count  92016.000000  92016.000000  92016.000000  92016.000000\n",
       "mean     231.696688    797.623357      6.016163     65.798356\n",
       "std     4562.128748    613.520156      2.608116    213.144084\n",
       "min        9.900000  -1596.810100      0.000000   -924.820000\n",
       "25%       17.300000    417.119800      3.936900     31.543750\n",
       "50%       21.900000    856.467925      5.165600     48.715000\n",
       "75%       27.600000   1221.293675      8.023300     76.495000\n",
       "max    99999.900000   3264.166300     29.990000  14700.000000"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# descriptive statistics of the dataset\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#check for missing values\n",
    "df.isnull().values.any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#convert column to datetime\n",
    "df[\"FullDate\"] = pd.to_datetime(df[\"FullDate\"]) \n",
    "df.set_index(\"FullDate\", inplace= True) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Tmax</th>\n",
       "      <th>SysLoad</th>\n",
       "      <th>GasPrice</th>\n",
       "      <th>ElecPrice</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FullDate</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-09-01 00:00:00</th>\n",
       "      <td>15.8</td>\n",
       "      <td>1688.215</td>\n",
       "      <td>3.69</td>\n",
       "      <td>23.710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-09-01 01:00:00</th>\n",
       "      <td>15.8</td>\n",
       "      <td>1669.195</td>\n",
       "      <td>3.69</td>\n",
       "      <td>22.635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-09-01 02:00:00</th>\n",
       "      <td>15.8</td>\n",
       "      <td>1491.980</td>\n",
       "      <td>3.69</td>\n",
       "      <td>22.565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-09-01 03:00:00</th>\n",
       "      <td>15.8</td>\n",
       "      <td>1330.760</td>\n",
       "      <td>3.69</td>\n",
       "      <td>18.910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-09-01 04:00:00</th>\n",
       "      <td>15.8</td>\n",
       "      <td>1247.940</td>\n",
       "      <td>3.69</td>\n",
       "      <td>18.030</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Tmax   SysLoad  GasPrice  ElecPrice\n",
       "FullDate                                                \n",
       "2010-09-01 00:00:00  15.8  1688.215      3.69     23.710\n",
       "2010-09-01 01:00:00  15.8  1669.195      3.69     22.635\n",
       "2010-09-01 02:00:00  15.8  1491.980      3.69     22.565\n",
       "2010-09-01 03:00:00  15.8  1330.760      3.69     18.910\n",
       "2010-09-01 04:00:00  15.8  1247.940      3.69     18.030"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The daily dataset shape is:  (3834, 4)\n"
     ]
    },
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Tmax</th>\n",
       "      <th>SysLoad</th>\n",
       "      <th>GasPrice</th>\n",
       "      <th>ElecPrice</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FullDate</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-09-01</th>\n",
       "      <td>379.2</td>\n",
       "      <td>41565.380</td>\n",
       "      <td>88.56</td>\n",
       "      <td>2751.700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-09-02</th>\n",
       "      <td>369.6</td>\n",
       "      <td>38898.990</td>\n",
       "      <td>88.56</td>\n",
       "      <td>570.810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-09-03</th>\n",
       "      <td>439.2</td>\n",
       "      <td>41665.760</td>\n",
       "      <td>106.80</td>\n",
       "      <td>504.975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-09-04</th>\n",
       "      <td>328.8</td>\n",
       "      <td>35638.085</td>\n",
       "      <td>81.36</td>\n",
       "      <td>502.275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-09-05</th>\n",
       "      <td>357.6</td>\n",
       "      <td>35611.410</td>\n",
       "      <td>106.80</td>\n",
       "      <td>500.555</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Tmax    SysLoad  GasPrice  ElecPrice\n",
       "FullDate                                         \n",
       "2010-09-01  379.2  41565.380     88.56   2751.700\n",
       "2010-09-02  369.6  38898.990     88.56    570.810\n",
       "2010-09-03  439.2  41665.760    106.80    504.975\n",
       "2010-09-04  328.8  35638.085     81.36    502.275\n",
       "2010-09-05  357.6  35611.410    106.80    500.555"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Upsample to daily data points\n",
    "df_daily = df.resample('D').sum()\n",
    "\n",
    "print('The daily dataset shape is: ', df_daily.shape)\n",
    "df_daily.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x2426933ebb0>]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the daily sampled data for ElecPrice\n",
    "daily_ElecPrice = (df_daily['ElecPrice'])\n",
    "plt.plot(daily_ElecPrice , 'blue')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>FullDate</th>\n",
       "      <th>Tmax</th>\n",
       "      <th>SysLoad</th>\n",
       "      <th>GasPrice</th>\n",
       "      <th>ElecPrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2010-09-01</td>\n",
       "      <td>379.2</td>\n",
       "      <td>41565.380</td>\n",
       "      <td>88.56</td>\n",
       "      <td>2751.700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2010-09-02</td>\n",
       "      <td>369.6</td>\n",
       "      <td>38898.990</td>\n",
       "      <td>88.56</td>\n",
       "      <td>570.810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2010-09-03</td>\n",
       "      <td>439.2</td>\n",
       "      <td>41665.760</td>\n",
       "      <td>106.80</td>\n",
       "      <td>504.975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2010-09-04</td>\n",
       "      <td>328.8</td>\n",
       "      <td>35638.085</td>\n",
       "      <td>81.36</td>\n",
       "      <td>502.275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2010-09-05</td>\n",
       "      <td>357.6</td>\n",
       "      <td>35611.410</td>\n",
       "      <td>106.80</td>\n",
       "      <td>500.555</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    FullDate   Tmax    SysLoad  GasPrice  ElecPrice\n",
       "0 2010-09-01  379.2  41565.380     88.56   2751.700\n",
       "1 2010-09-02  369.6  38898.990     88.56    570.810\n",
       "2 2010-09-03  439.2  41665.760    106.80    504.975\n",
       "3 2010-09-04  328.8  35638.085     81.36    502.275\n",
       "4 2010-09-05  357.6  35611.410    106.80    500.555"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_daily.reset_index(inplace=True) # resetting index column\n",
    "df_daily.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ADF Statistic: -3.690158988836652 \n",
      "p-value: 0.004253725504574031 \n",
      "No. of lags used: 30 \n",
      "No. of observations used : 3803 \n",
      "Critical Values:\n",
      " 1% : -3.432070672988693 \n",
      " 5% : -2.8623002987378547 \n",
      " 10% : -2.567174716967499 \n"
     ]
    }
   ],
   "source": [
    "# ADF test for 'SysLoad'\n",
    "adf_result = adfuller(df_daily['SysLoad'])\n",
    "print(f'ADF Statistic: {adf_result[ 0 ]}')\n",
    "print(f'p-value: {adf_result[1]}')\n",
    "print(f'No. of lags used: {adf_result[2]}')\n",
    "print(f'No. of observations used : {adf_result[3]}')\n",
    "print('Critical Values:')\n",
    "for k, v in adf_result[4].items():\n",
    " print(f'{k} : {v}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ADF Statistic: -8.269053866873815 \n",
      "p-value: 4.848817773711248e-13 \n",
      "No. of lags used: 20 \n",
      "No. of observations used : 3813 \n",
      "Critical Values:\n",
      " 1% : -3.432066157296446 \n",
      " 5% : -2.8622983040036005 \n",
      " 10% : -2.5671736550459663 \n"
     ]
    }
   ],
   "source": [
    "# ADF test for 'ElecPrice'\n",
    "adf_result = adfuller(df_daily['ElecPrice'])\n",
    "print(f'ADF Statistic: {adf_result[ 0 ]}')\n",
    "print(f'p-value: {adf_result[1]}')\n",
    "print(f'No. of lags used: {adf_result[2]}')\n",
    "print(f'No. of observations used : {adf_result[3]}')\n",
    "print('Critical Values:')\n",
    "for k, v in adf_result[4].items():\n",
    " print(f'{k} : {v}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ADF Statistic: -2.9027666971651773 \n",
      "p-value: 0.045027212884625675 \n",
      "No. of lags used: 27 \n",
      "No. of observations used : 3806 \n",
      "Critical Values:\n",
      " 1% : -3.4320693157877544 \n",
      " 5% : -2.8622996992165364 \n",
      " 10% : -2.5671743978048323 \n"
     ]
    }
   ],
   "source": [
    "# ADF test for 'GasPrice'\n",
    "adf_result = adfuller(df_daily['GasPrice'])\n",
    "print(f'ADF Statistic: {adf_result[ 0 ]}')\n",
    "print(f'p-value: {adf_result[1]}')\n",
    "print(f'No. of lags used: {adf_result[2]}')\n",
    "print(f'No. of observations used : {adf_result[3]}')\n",
    "print('Critical Values:')\n",
    "for k, v in adf_result[4].items():\n",
    " print(f'{k} : {v}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<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>ds</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2010-09-01</td>\n",
       "      <td>2751.700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2010-09-02</td>\n",
       "      <td>570.810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2010-09-03</td>\n",
       "      <td>504.975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2010-09-04</td>\n",
       "      <td>502.275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2010-09-05</td>\n",
       "      <td>500.555</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          ds         y\n",
       "0 2010-09-01  2751.700\n",
       "1 2010-09-02   570.810\n",
       "2 2010-09-03   504.975\n",
       "3 2010-09-04   502.275\n",
       "4 2010-09-05   500.555"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Selecting ElecPrice column for univariate time series modelling\n",
    "daily_data = df_daily[[\"FullDate\",\"ElecPrice\"]]\n",
    "daily_data = daily_data.rename(columns={ \"FullDate\" : \"ds\" , \"ElecPrice\" : \"y\" }) # renaming columns\n",
    "daily_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ds    2018-03-20 00:00:00\n",
       "y                  1833.0\n",
       "Name: 2757, dtype: object"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# obtain the benchmark the dataset split into train and test\n",
    "daily_data.loc[2757]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Splitting the dataset into train and test sets respectively according to the quiz instructions\n",
    "df_train = daily_data.loc[daily_data[\"ds\"]<\"2018-03-20\"] # first 2757 days is train set\n",
    "df_test  = daily_data.loc[daily_data[\"ds\"]>=\"2018-03-20\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((2757, 2), (1077, 2))"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_train.shape, df_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "15:28:47 - cmdstanpy - INFO - Chain [1] start processing\n",
      "15:28:48 - cmdstanpy - INFO - Chain [1] done processing\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<prophet.forecaster.Prophet at 0x24269467fa0>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Time series with Facebook Prophet\n",
    "\n",
    "from prophet import Prophet \n",
    "\n",
    "model = Prophet(daily_seasonality=True)\n",
    "model.fit(df_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "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>ds</th>\n",
       "      <th>trend</th>\n",
       "      <th>yhat_lower</th>\n",
       "      <th>yhat_upper</th>\n",
       "      <th>trend_lower</th>\n",
       "      <th>trend_upper</th>\n",
       "      <th>additive_terms</th>\n",
       "      <th>additive_terms_lower</th>\n",
       "      <th>additive_terms_upper</th>\n",
       "      <th>daily</th>\n",
       "      <th>...</th>\n",
       "      <th>weekly</th>\n",
       "      <th>weekly_lower</th>\n",
       "      <th>weekly_upper</th>\n",
       "      <th>yearly</th>\n",
       "      <th>yearly_lower</th>\n",
       "      <th>yearly_upper</th>\n",
       "      <th>multiplicative_terms</th>\n",
       "      <th>multiplicative_terms_lower</th>\n",
       "      <th>multiplicative_terms_upper</th>\n",
       "      <th>yhat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-03-20</td>\n",
       "      <td>4206.989845</td>\n",
       "      <td>189.216893</td>\n",
       "      <td>5020.043647</td>\n",
       "      <td>4206.989845</td>\n",
       "      <td>4206.989845</td>\n",
       "      <td>-1677.171061</td>\n",
       "      <td>-1677.171061</td>\n",
       "      <td>-1677.171061</td>\n",
       "      <td>-1521.543549</td>\n",
       "      <td>...</td>\n",
       "      <td>9.736439</td>\n",
       "      <td>9.736439</td>\n",
       "      <td>9.736439</td>\n",
       "      <td>-165.363951</td>\n",
       "      <td>-165.363951</td>\n",
       "      <td>-165.363951</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2529.818784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-03-21</td>\n",
       "      <td>4207.790215</td>\n",
       "      <td>202.487461</td>\n",
       "      <td>5112.146058</td>\n",
       "      <td>4207.790215</td>\n",
       "      <td>4207.790215</td>\n",
       "      <td>-1524.654906</td>\n",
       "      <td>-1524.654906</td>\n",
       "      <td>-1524.654906</td>\n",
       "      <td>-1521.543549</td>\n",
       "      <td>...</td>\n",
       "      <td>159.361114</td>\n",
       "      <td>159.361114</td>\n",
       "      <td>159.361114</td>\n",
       "      <td>-162.472471</td>\n",
       "      <td>-162.472471</td>\n",
       "      <td>-162.472471</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2683.135309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-03-22</td>\n",
       "      <td>4208.590584</td>\n",
       "      <td>295.226815</td>\n",
       "      <td>5171.502567</td>\n",
       "      <td>4208.590584</td>\n",
       "      <td>4208.590584</td>\n",
       "      <td>-1426.441026</td>\n",
       "      <td>-1426.441026</td>\n",
       "      <td>-1426.441026</td>\n",
       "      <td>-1521.543549</td>\n",
       "      <td>...</td>\n",
       "      <td>257.119713</td>\n",
       "      <td>257.119713</td>\n",
       "      <td>257.119713</td>\n",
       "      <td>-162.017190</td>\n",
       "      <td>-162.017190</td>\n",
       "      <td>-162.017190</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2782.149558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-03-23</td>\n",
       "      <td>4209.390953</td>\n",
       "      <td>260.232618</td>\n",
       "      <td>4880.303940</td>\n",
       "      <td>4209.390953</td>\n",
       "      <td>4209.390953</td>\n",
       "      <td>-1635.099686</td>\n",
       "      <td>-1635.099686</td>\n",
       "      <td>-1635.099686</td>\n",
       "      <td>-1521.543549</td>\n",
       "      <td>...</td>\n",
       "      <td>50.276083</td>\n",
       "      <td>50.276083</td>\n",
       "      <td>50.276083</td>\n",
       "      <td>-163.832221</td>\n",
       "      <td>-163.832221</td>\n",
       "      <td>-163.832221</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2574.291267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-03-24</td>\n",
       "      <td>4210.191322</td>\n",
       "      <td>-111.277974</td>\n",
       "      <td>4654.477411</td>\n",
       "      <td>4210.191322</td>\n",
       "      <td>4210.191322</td>\n",
       "      <td>-1960.673064</td>\n",
       "      <td>-1960.673064</td>\n",
       "      <td>-1960.673064</td>\n",
       "      <td>-1521.543549</td>\n",
       "      <td>...</td>\n",
       "      <td>-271.454278</td>\n",
       "      <td>-271.454278</td>\n",
       "      <td>-271.454278</td>\n",
       "      <td>-167.675237</td>\n",
       "      <td>-167.675237</td>\n",
       "      <td>-167.675237</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2249.518258</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          ds        trend  yhat_lower   yhat_upper  trend_lower  trend_upper  \\\n",
       "0 2018-03-20  4206.989845  189.216893  5020.043647  4206.989845  4206.989845   \n",
       "1 2018-03-21  4207.790215  202.487461  5112.146058  4207.790215  4207.790215   \n",
       "2 2018-03-22  4208.590584  295.226815  5171.502567  4208.590584  4208.590584   \n",
       "3 2018-03-23  4209.390953  260.232618  4880.303940  4209.390953  4209.390953   \n",
       "4 2018-03-24  4210.191322 -111.277974  4654.477411  4210.191322  4210.191322   \n",
       "\n",
       "   additive_terms  additive_terms_lower  additive_terms_upper        daily  \\\n",
       "0    -1677.171061          -1677.171061          -1677.171061 -1521.543549   \n",
       "1    -1524.654906          -1524.654906          -1524.654906 -1521.543549   \n",
       "2    -1426.441026          -1426.441026          -1426.441026 -1521.543549   \n",
       "3    -1635.099686          -1635.099686          -1635.099686 -1521.543549   \n",
       "4    -1960.673064          -1960.673064          -1960.673064 -1521.543549   \n",
       "\n",
       "   ...      weekly  weekly_lower  weekly_upper      yearly  yearly_lower  \\\n",
       "0  ...    9.736439      9.736439      9.736439 -165.363951   -165.363951   \n",
       "1  ...  159.361114    159.361114    159.361114 -162.472471   -162.472471   \n",
       "2  ...  257.119713    257.119713    257.119713 -162.017190   -162.017190   \n",
       "3  ...   50.276083     50.276083     50.276083 -163.832221   -163.832221   \n",
       "4  ... -271.454278   -271.454278   -271.454278 -167.675237   -167.675237   \n",
       "\n",
       "   yearly_upper  multiplicative_terms  multiplicative_terms_lower  \\\n",
       "0   -165.363951                   0.0                         0.0   \n",
       "1   -162.472471                   0.0                         0.0   \n",
       "2   -162.017190                   0.0                         0.0   \n",
       "3   -163.832221                   0.0                         0.0   \n",
       "4   -167.675237                   0.0                         0.0   \n",
       "\n",
       "   multiplicative_terms_upper         yhat  \n",
       "0                         0.0  2529.818784  \n",
       "1                         0.0  2683.135309  \n",
       "2                         0.0  2782.149558  \n",
       "3                         0.0  2574.291267  \n",
       "4                         0.0  2249.518258  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Predicting the values of the test set after dropping the 'y' column\n",
    "forecast = model.predict(df_test.drop(columns=\"y\"))\n",
    "forecast.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Time Series Evaluation Metrics\n",
    "def timeseries_evaluation_metrics_func(y_true, y_pred):\n",
    "    \n",
    "    def mean_absolute_percentage_error(y_true, y_pred): \n",
    "        y_true, y_pred = np.array(y_true), np.array(y_pred)\n",
    "        return np.mean(np.abs((y_true - y_pred) / y_true)) * 100\n",
    "    #print('Evaluation metric results:-')\n",
    "    print(f'MSE is : {metrics.mean_squared_error(y_true, y_pred)}')\n",
    "    print(f'MAE is : {metrics.mean_absolute_error(y_true, y_pred)}')\n",
    "    print(f'RMSE is : {np.sqrt(metrics.mean_squared_error(y_true, y_pred))}')\n",
    "    print(f'MAPE is : {mean_absolute_percentage_error(y_true, y_pred)}')\n",
    "    print(f'R2 is : {metrics.r2_score(y_true, y_pred)}',end='\\n\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MSE is : 10307136.050070403\n",
      "MAE is : 1735.7882745938723\n",
      "RMSE is : 3210.4728701657646\n",
      "MAPE is : 545.7818340648296\n",
      "R2 is : -0.24585861269141862\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Computing the time series evaluation \n",
    "timeseries_evaluation_metrics_func(df_test.y, forecast.yhat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "545.7818340648296"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Computing the MAPE\n",
    "def mape(actual, pred): \n",
    "    actual, pred = np.array(actual), np.array(pred)\n",
    "    return np.mean(np.abs((actual - pred) / actual)) * 100\n",
    "\n",
    "actual = df_test['y']\n",
    "pred = forecast['yhat']\n",
    "\n",
    "mape(actual, pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 648x864 with 4 Axes>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 648x864 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the components of the forecast\n",
    "model.plot_components(forecast)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the forecasted values\n",
    "model.plot(forecast)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Multivariate Time series forecasting with Facebook Prophet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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>ds</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2010-09-01</td>\n",
       "      <td>2751.700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2010-09-02</td>\n",
       "      <td>570.810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2010-09-03</td>\n",
       "      <td>504.975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2010-09-04</td>\n",
       "      <td>502.275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2010-09-05</td>\n",
       "      <td>500.555</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          ds         y\n",
       "0 2010-09-01  2751.700\n",
       "1 2010-09-02   570.810\n",
       "2 2010-09-03   504.975\n",
       "3 2010-09-04   502.275\n",
       "4 2010-09-05   500.555"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# we make use of our univariate dataset\n",
    "daily_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# add variables to the dataset\n",
    "daily_data[\"add1\"] = df_daily['SysLoad']\n",
    "daily_data[\"add2\"] = df_daily['Tmax']\n",
    "daily_data[\"add3\"] = df_daily['GasPrice']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "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>ds</th>\n",
       "      <th>y</th>\n",
       "      <th>add1</th>\n",
       "      <th>add2</th>\n",
       "      <th>add3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2010-09-01</td>\n",
       "      <td>2751.700</td>\n",
       "      <td>41565.380</td>\n",
       "      <td>379.2</td>\n",
       "      <td>88.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2010-09-02</td>\n",
       "      <td>570.810</td>\n",
       "      <td>38898.990</td>\n",
       "      <td>369.6</td>\n",
       "      <td>88.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2010-09-03</td>\n",
       "      <td>504.975</td>\n",
       "      <td>41665.760</td>\n",
       "      <td>439.2</td>\n",
       "      <td>106.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2010-09-04</td>\n",
       "      <td>502.275</td>\n",
       "      <td>35638.085</td>\n",
       "      <td>328.8</td>\n",
       "      <td>81.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2010-09-05</td>\n",
       "      <td>500.555</td>\n",
       "      <td>35611.410</td>\n",
       "      <td>357.6</td>\n",
       "      <td>106.80</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          ds         y       add1   add2    add3\n",
       "0 2010-09-01  2751.700  41565.380  379.2   88.56\n",
       "1 2010-09-02   570.810  38898.990  369.6   88.56\n",
       "2 2010-09-03   504.975  41665.760  439.2  106.80\n",
       "3 2010-09-04   502.275  35638.085  328.8   81.36\n",
       "4 2010-09-05   500.555  35611.410  357.6  106.80"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "daily_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Train and test sets similar to the previous univariate model\n",
    "df_train = daily_data.loc[daily_data[\"ds\"]<\"2018-03-20\"]\n",
    "df_test  = daily_data.loc[daily_data[\"ds\"]>=\"2018-03-20\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "15:30:12 - cmdstanpy - INFO - Chain [1] start processing\n",
      "15:30:14 - cmdstanpy - INFO - Chain [1] done processing\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<prophet.forecaster.Prophet at 0x24269d6f160>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# instantiate the Prophet model\n",
    "m = Prophet()\n",
    "\n",
    "# Adding the other independent variables as regressors\n",
    "m.add_regressor('add1')\n",
    "m.add_regressor('add2')\n",
    "m.add_regressor('add3')\n",
    "\n",
    "# fit the model\n",
    "m.fit(df_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Predicting the test set after the 'y' column has been temporarily dropped\n",
    "multi_forecast = m.predict(df_test.drop(columns=\"y\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "        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>ds</th>\n",
       "      <th>trend</th>\n",
       "      <th>yhat_lower</th>\n",
       "      <th>yhat_upper</th>\n",
       "      <th>trend_lower</th>\n",
       "      <th>trend_upper</th>\n",
       "      <th>add1</th>\n",
       "      <th>add1_lower</th>\n",
       "      <th>add1_upper</th>\n",
       "      <th>add2</th>\n",
       "      <th>...</th>\n",
       "      <th>weekly</th>\n",
       "      <th>weekly_lower</th>\n",
       "      <th>weekly_upper</th>\n",
       "      <th>yearly</th>\n",
       "      <th>yearly_lower</th>\n",
       "      <th>yearly_upper</th>\n",
       "      <th>multiplicative_terms</th>\n",
       "      <th>multiplicative_terms_lower</th>\n",
       "      <th>multiplicative_terms_upper</th>\n",
       "      <th>yhat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-03-20</td>\n",
       "      <td>1876.419809</td>\n",
       "      <td>-99.828531</td>\n",
       "      <td>4359.767890</td>\n",
       "      <td>1876.419809</td>\n",
       "      <td>1876.419809</td>\n",
       "      <td>-857.602000</td>\n",
       "      <td>-857.602000</td>\n",
       "      <td>-857.602000</td>\n",
       "      <td>0.232867</td>\n",
       "      <td>...</td>\n",
       "      <td>-84.577019</td>\n",
       "      <td>-84.577019</td>\n",
       "      <td>-84.577019</td>\n",
       "      <td>-39.114417</td>\n",
       "      <td>-39.114417</td>\n",
       "      <td>-39.114417</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1993.804660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-03-21</td>\n",
       "      <td>1877.129722</td>\n",
       "      <td>-269.726149</td>\n",
       "      <td>4136.939969</td>\n",
       "      <td>1877.129722</td>\n",
       "      <td>1877.129722</td>\n",
       "      <td>-1027.858036</td>\n",
       "      <td>-1027.858036</td>\n",
       "      <td>-1027.858036</td>\n",
       "      <td>0.230104</td>\n",
       "      <td>...</td>\n",
       "      <td>42.473061</td>\n",
       "      <td>42.473061</td>\n",
       "      <td>42.473061</td>\n",
       "      <td>-29.780362</td>\n",
       "      <td>-29.780362</td>\n",
       "      <td>-29.780362</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1985.047580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-03-22</td>\n",
       "      <td>1877.839634</td>\n",
       "      <td>668.469394</td>\n",
       "      <td>5162.442296</td>\n",
       "      <td>1877.839634</td>\n",
       "      <td>1877.839634</td>\n",
       "      <td>-215.266153</td>\n",
       "      <td>-215.266153</td>\n",
       "      <td>-215.266153</td>\n",
       "      <td>0.216717</td>\n",
       "      <td>...</td>\n",
       "      <td>145.508591</td>\n",
       "      <td>145.508591</td>\n",
       "      <td>145.508591</td>\n",
       "      <td>-24.703778</td>\n",
       "      <td>-24.703778</td>\n",
       "      <td>-24.703778</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2906.448102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-03-23</td>\n",
       "      <td>1878.549547</td>\n",
       "      <td>546.632071</td>\n",
       "      <td>4611.759375</td>\n",
       "      <td>1878.549547</td>\n",
       "      <td>1878.549547</td>\n",
       "      <td>-275.290109</td>\n",
       "      <td>-275.290109</td>\n",
       "      <td>-275.290109</td>\n",
       "      <td>0.208854</td>\n",
       "      <td>...</td>\n",
       "      <td>-44.414938</td>\n",
       "      <td>-44.414938</td>\n",
       "      <td>-44.414938</td>\n",
       "      <td>-23.743630</td>\n",
       "      <td>-23.743630</td>\n",
       "      <td>-23.743630</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2590.699311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-03-24</td>\n",
       "      <td>1879.259459</td>\n",
       "      <td>-826.325512</td>\n",
       "      <td>3731.299666</td>\n",
       "      <td>1879.259459</td>\n",
       "      <td>1879.259459</td>\n",
       "      <td>-1077.974790</td>\n",
       "      <td>-1077.974790</td>\n",
       "      <td>-1077.974790</td>\n",
       "      <td>0.206942</td>\n",
       "      <td>...</td>\n",
       "      <td>-117.401450</td>\n",
       "      <td>-117.401450</td>\n",
       "      <td>-117.401450</td>\n",
       "      <td>-26.649465</td>\n",
       "      <td>-26.649465</td>\n",
       "      <td>-26.649465</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1443.151863</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          ds        trend  yhat_lower   yhat_upper  trend_lower  trend_upper  \\\n",
       "0 2018-03-20  1876.419809  -99.828531  4359.767890  1876.419809  1876.419809   \n",
       "1 2018-03-21  1877.129722 -269.726149  4136.939969  1877.129722  1877.129722   \n",
       "2 2018-03-22  1877.839634  668.469394  5162.442296  1877.839634  1877.839634   \n",
       "3 2018-03-23  1878.549547  546.632071  4611.759375  1878.549547  1878.549547   \n",
       "4 2018-03-24  1879.259459 -826.325512  3731.299666  1879.259459  1879.259459   \n",
       "\n",
       "          add1   add1_lower   add1_upper      add2  ...      weekly  \\\n",
       "0  -857.602000  -857.602000  -857.602000  0.232867  ...  -84.577019   \n",
       "1 -1027.858036 -1027.858036 -1027.858036  0.230104  ...   42.473061   \n",
       "2  -215.266153  -215.266153  -215.266153  0.216717  ...  145.508591   \n",
       "3  -275.290109  -275.290109  -275.290109  0.208854  ...  -44.414938   \n",
       "4 -1077.974790 -1077.974790 -1077.974790  0.206942  ... -117.401450   \n",
       "\n",
       "   weekly_lower  weekly_upper     yearly  yearly_lower  yearly_upper  \\\n",
       "0    -84.577019    -84.577019 -39.114417    -39.114417    -39.114417   \n",
       "1     42.473061     42.473061 -29.780362    -29.780362    -29.780362   \n",
       "2    145.508591    145.508591 -24.703778    -24.703778    -24.703778   \n",
       "3    -44.414938    -44.414938 -23.743630    -23.743630    -23.743630   \n",
       "4   -117.401450   -117.401450 -26.649465    -26.649465    -26.649465   \n",
       "\n",
       "   multiplicative_terms  multiplicative_terms_lower  \\\n",
       "0                   0.0                         0.0   \n",
       "1                   0.0                         0.0   \n",
       "2                   0.0                         0.0   \n",
       "3                   0.0                         0.0   \n",
       "4                   0.0                         0.0   \n",
       "\n",
       "   multiplicative_terms_upper         yhat  \n",
       "0                         0.0  1993.804660  \n",
       "1                         0.0  1985.047580  \n",
       "2                         0.0  2906.448102  \n",
       "3                         0.0  2590.699311  \n",
       "4                         0.0  1443.151863  \n",
       "\n",
       "[5 rows x 31 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "multi_forecast.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MSE is : 7357577.901758181\n",
      "MAE is : 1002.0019763507588\n",
      "RMSE is : 2712.4855578893284\n",
      "MAPE is : 236.35518912842159\n",
      "R2 is : 0.11066451893871398\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Computing the time series evaluation \n",
    "timeseries_evaluation_metrics_func(df_test.y, multi_forecast.yhat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 648x864 with 4 Axes>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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11znllFNQFIXp06ezcuVKbDYbO3fuJD8/n1GjRmmSkxBCCHEwDpebkloLGwpr+PSPcn7YXc3WvQ2gQlyYkdgewRj9vOgTvk3TFr+SkhLmz5+Py+XC7XYzc+ZMTj/9dIYMGcLs2bO55ZZbOPbYY1m4cCEACxcu5MILLyQlJYWYmBhWrlwJQHp6OjNnzmTIkCEYDAYef/xx9HoZ8CqEEEJ77ubt0qpK6iius+JWIcSgIzpUxuyJrqdp4Tds2DA2bty43/H+/fsfcFauyWTitddeO+C5br75Zm6++eYOj1EIIYT4K5rsTvY22NlZ2UTl3npi4kKJMgXJDhpCUz4zxk8IIYTwd67m5Vd2V1kob7SjVyDCZCA6NIhIU5DW4QkhhZ8QQgjRXg02JyV1VnZVW3C63IQG6enVQ7ZME75HCj8hhBDiL3C43FQ02NhZbaHW4sCgU4gwBWGQrlzhw6TwE0IIIY6QqqrUWZ0U1VooqLGiAmHBeuLCjFqHJsQRkcJPCCGEOISWYm9vg43CWitWh4tgvY4YmZUr/JAUfkIIIcSfqKpKrdVJWb2NohoLNpeKQQfhRgMRRvnVKfyXfPcKIYQQzVrG7eVXNNFodxKkUwg3GojUy6LKonuQwk8IIUTAsjpcNNicVFsc7G2wUW9zoqqeJVhk3J7ojqTwE0IIETBUtXl/3CYHxXVWqi0OFMCgUwgJ1tOrhxR7onuTwk8IIUS35nC5qW1u0Sups2F3u9GhEBoks3FF4JHCTwghRLdid7ppcrhotDkprbdR3mBHRSVYryPMaJB19kRAk8JPCCGEX3O5VWqtDsrqbOxtsGFxulBV0ClgMujpKTtoCOElhZ8QQgi/43ar1FgdlNZZKaqz4XS5Cdbr6BGsJ0yWWxHioOSnQwghhN9osDkpq7eyq8qCvbnYizQa0Ev3rRBHRAo/IYQQPs3qcFHRYGd3dRN1Nid6nUKk0YBBH6R1aEL4HU1XpCwoKGD8+PEMGTKE9PR0Hn74YQBmzZpFZmYmmZmZ9O3bl8zMTAB27dpFSEiI93N///vfvedav349Q4cOJSUlhSuvvBJVVbVISQghRDupqkqDzcmeqiZ+2FXFF9sq2FRWB0BcmJHY0GAMsqCyEH+Jpi1+BoOB+++/nxEjRlBfX09WVhYTJ07klVde8b7m2muvJTIy0vvxgAEDyMvL2+9cl112Gc888wyjR49m6tSprF69milTpnRFGkIIIdrJ7Vapszkpb9kP1+lGh0pYsCykLERH0rTwS0hIICEhAYDw8HDS0tIoKipiyJAhgOevvldffZXPP//8kOcpKSmhrq6OMWPGADBv3jzefvttKfyEEMKHtbTs/VZWT1GtFYfLjaF5izTZD1eIzuEzbeW7du1i48aNjB492nvsm2++IT4+ntTUVO+xnTt3cuyxx3LSSSfxzTffAFBUVERSUpL3NUlJSRQVFXVd8EIIIY6YzemisNrCNzuq+KWkjqIaC+FGT8teTGgwQdKNK0Sn8Yk/qRoaGpgxYwYPPfQQERER3uMrVqxgzpw53o8TEhLYs2cPsbGxrF+/nrPOOovNmzcf1bVyc3PJzc0FoLS0lOLiYgDKy8s7IBPfJ3l2P4GSa6DkCd0zV5vTTZPdRXmjjYoGO4qiEBqsI8hWj9IUREOT1hF2roaaKq1D6DKS6yFeb3NS5TBS7KzvpIgOT/PCz+FwMGPGDObOncs555zjPe50OnnzzTdZv36995jRaMRo9Iz1yMrKYsCAAfzxxx+YzWYKCwu9ryssLMRsNh/wejk5OeTk5ACQnZ1NYmKi93Ot/92dSZ7dT6DkGih5gv/nqqoqVU2ebdLK6m1YHW5QwBgaSt9og3dB5Rq9jqie8RpH2zUCJU+QXA/K4iAmykRiXHjnBXQY7Sr8zjjjjEOuhv7OO+8c8v2qqrJw4ULS0tK45ppr2nzu008/ZfDgwW26cMvLy4mJiUGv17Njxw7y8/Pp378/MTExRERE8OOPPzJ69Gief/55/vnPf7YnNSGEEH+B3emmotHGrmoLtRaHd1HlcBmzJ4RPaNdP4nXXXQfAm2++SWlpKRdccAHg6aKNjz98Bfzdd9/xwgsvMHToUO+SLffccw9Tp05l5cqVbbp5Ab7++mtuu+02goKC0Ol0PPXUU8TExADwxBNPcNFFF2GxWJgyZYpM7BBCiC5UZ3VQUG2hqM6KW1XpESSzcYXwRe0q/E466STAs+TKunXrvMfPOOMMsrOzD/v+sWPHHnS9veeee26/YzNmzGDGjBkHfH12djabNm06gqiFEEJ0BLdbparJzo6qJiob7QTrdUSZgmQXDSF8WIe0vTc2NrJjxw769+8PeGbeNjY2dsSphRBC+BBVVam3OalqcrCrqgmLw0VokF5a94TwEx1S+D344IOcfPLJ9O/fH1VV2b17N08//XRHnFoIIYSPqGy0s7Ws3rttWliwQcbuCeFnOuQndvLkyeTn57N161YABg8e7J19K4QQwj+pqkqj3UVVo52CWs9kjXBjkLTuCeHHOuxPtfXr17Nr1y6cTic///wz4NlBQwghhP9QVZU6q5O9DTaKaq1YWm2dFh9u0jo8IUQ7dUjhd+GFF7J9+3YyMzPR6/UAKIoihZ8QQviJRpuTsnobu2ssWB1uDDoIN0pXrhB/hdPlprjORkGNhcJaK4U1FgpqreypbuKGU1IY5K/r+LVYt24dW7ZsOeSafkIIIXzLn9fc0+sUImSfXCGOiNXpYleNjZraSgqbC7yCGguFNVZK6624Wi1aEhKkIzkyhD7RoYQZ9doFTQcVfhkZGZSWlpKQkNARpxNCCNFJVFWlxuKgsNZKca0VtbkbV8btCbG/BptzX4tdjZXC2n3/39tgb/PaCKOBpCgTGQnhTEnrRVJkCElRJpIjQ4gJDUJRFGosDpKitB0y0SGFX0VFBUOGDGHUqFFtJnUcbucOIYQQXaPe6qSswUphjRWL3YUxSEdMaBA66akRAUxVVWqtTm+XbEFzgVfUXOBVWxxtXh8bGkRSVAijkqNIigohRmdjUHJvkqJMRJqCNMri6HRI4XfHHXd0xGmEEEJ0EIfLTaPdRXWTg4IaC40OFwYFzxIs4dKVKwKHqqpUNNrbttg1j7krrLHQYHd5X6sA8eFGkqNMnDwg1tNiFxVCUqSJpMgQQoPbdtPWVJQR1VO78Xp/RYf89J900kns3r2b/Px8Tj31VJqamnC5XId/oxBCiA5hdbhosDmpszoprbdRZ/O0VOgUhfBgA3E9gjWOUIjO43KrlNXbKKht22JXUGOhqNaK1en2vlavU0iMMJIcGcLQhHCSI0NIbi7wEiJMGA06DTPpfB1S+D3zzDPk5uZSVVXF9u3bKSoq4u9//zufffZZR5xeCCHEnzhcbuqsTioa7ZTV22i0u1AU0CsQGqSnVw8Zsye6F4fLTXGddb8Wu4Lm8apO977ZFEa9DnOkiaQoE2P6RJMU2dxyF2Wid7gJQwBvK9ghhd/jjz/O2rVrGT16NACpqans3bu3I04thBACz764DXYn1U0OSuptVDd5BpYH63XNW6ZJi57wf1aHq83yJ62XQymtt9GqtqNHsB5zpInUnj04ZUAsSc1dsslRIfQKC5bxqwfRIYWf0WgkOHjfQ8fpdMrSLkII0U42p4tai2cx5dJ6Gw6Xik7x/MLr1SNYnrPCLzXYnN5JFK1nyRbWWClvbDtTNtJkIDkqhGEJEUxL87TYJTV3zUaHBMnPwF/QYWP87rnnHiwWC5988glPPPEEZ5xxRkecWgghAkZLq15JnZUCRzVVTXYURSFY71lfTx/A3VPCf6iqSnWTZzJFQXNB17rAq7E427y+Z49gklu6ZJuXP0luLvDCTTIRqaN1yB299957efbZZxk6dChPP/00U6dO5ZJLLumIUwshRLdmd7qpszoorbdRXGfF5YamagvxvSOlVU/4LLeqUt5gbzNLdt9yKBaaHPne1ypA73AjyVEhnJLS09tilxwVgjnSREiQtgsaB5p2F34ul4v09HS2bt3KpZdeelTvLSgoYN68eZSVlaEoCjk5OVx11VXccccdPPPMM/Tq1QuAe+65h6lTpwKwaNEilixZgl6v55FHHmHSpEkArF69mquuugqXy8Ull1zCjTfe2N7UhBCiw6mq2rzMip3CWis1zeuEGQ06okxB6HUKNVaD/DIUmnO6VUrrPWs/7ptM4WnFK6qxYnO1nSlrjjSRFGkiLSaIlN4x3jF3iREmgrv5TFl/0u7CT6/XM2jQIPbs2cMxxxxzdBc3GLj//vsZMWIE9fX1ZGVlMXHiRACuvvpqrrvuujav37JlCytXrmTz5s0UFxdz6qmn8scffwBwxRVX8Mknn5CUlMTIkSOZPn06Q4YMaW96QgjRbk6Xm3qbk6omO4U1VpqcbnR4xurJjhlCS3Zny0zZtluOFdZaKaqz4mo9U9ag80yeiAzh+D7RbSZTxIcbvTNlPWvbxWuVkjiMDunqra6uJj09nVGjRtGjRw/v8cPt3JGQkODd5i08PJy0tDSKiooO+vpVq1Yxe/ZsjEYj/fr1IyUlhbVr1wKQkpJC//79AZg9ezarVq2Swk8IoRmrw9OqV1Jvo6LRjsutolcUwo0GwmQvXNGFLA6Xt6WusKalyGvZU9ZGq4my9AjWkxwVwqBePZiQ2tM75i4pykTPHjJTtjvokKeP1Wrlvffe836sqio33HDDUZ1j165dbNy4kdGjR/Pdd9/x2GOP8fzzz5Odnc39999PdHQ0RUVFjBkzxvuepKQkb6GYnJzc5viaNWsOeJ3c3Fxyc3MBKC0tpbi4GIDy8vKjitdfSZ7dT6Dk6ut5qqqKtXm8XnmDgzqrA0XxrCdmCtKjb/592WSBpsOcq6GmqtPj9RWBkmtn51lvc1Hc4KC43k5RvYOSegdF9Z6Pq6xtN1SINOpJDA8ivWcwp/btgTk8mMTwIMzhwUQYdQcYV2oFq5U665HFEihfUzj6XBtsTqocRoqd9Z0U0eF1SOHndDo56aST2hyzWCxH/P6GhgZmzJjBQw89REREBJdddhm33noriqJw6623cu2117J06dKOCJWcnBxycnIAyM7OJjEx0fu51v/uziTP7idQcvWlPF1ulUa7k3qrk/JGOxWNdhwuNzolmNAoA7HB7RujF0hdZYGSa3vyVFWVqibHvu5Y76QKz0zZWmvbmbJxYcEkRZoYOyDC22LXsvVYV7Q4B8rXFI4yV4uDmCgTiXHabfPWrq/+k08+yRNPPMGOHTsYNmyY93h9fT0nnHDCEZ3D4XAwY8YM5s6dyznnnANAfPy+m3jppZdy+umnA2A2mykoKPB+rrCwELPZDHDQ40II0V5ut4rd5abJ4aLO6mRvvY1qix23qqBTwGTQyXIrot3cqsreBvt+M2QLmydVNDn2tdzpFEgI9+xMcWpqz+ZdKVr2lDVhkslB4iDaVfidf/75TJkyhX//+98sXrzYezw8PJyYmJjDvl9VVRYuXEhaWhrXXHON93hJSYl37N9bb71FRkYGANOnT+f888/nmmuuobi4mPz8fEaNGoWqquTn57Nz507MZjMrV67k5Zdfbk9qQogAZ3W4qGqyU1Jno7LRjlsFFdDrIMSgJzZUlloRR8/pVilt2XasZT/ZWguFzXvK2l37RtwZmmfKJkeFMMIc2Wa8XWKEiSC9zJQVR69dhV9kZCSRkZGsWLHiL73/u+++44UXXmDo0KFkZmYCnqVbVqxYQV5eHoqi0LdvX55++mkA0tPTmTlzJkOGDMFgMPD444+j13v+qnnssceYNGkSLpeLBQsWkJ6e3p7UhBABpGV8Xr3VSUWjjYpGB412J0rzvrfRoUEyqF0cMVurmbItBd7OvbWUNu2hpN7WZqasyaAjKcpE3+hQxvaLbZ4l6yn24sKM0oosOpymU8vGjh2Lqqr7HW9Zs+9Abr75Zm6++eYDvudQ7xNCiNZcbtW7cHJJrRW7242KZzJGiEGWWRGH1mh3epc9ab2fbEGtlb1/mikbFqwnMcxAWnw4pw3q5V0CJTkqhNhQ2XZMdC1ZU0AIETAcLjc1FgcldVZK6+243G6C9TrCgvVE6oO0Dk/4mFqrY79dKVoKvMomR5vXxoQGkRQZQlZSJMmR+yZSJEWFEGkyUFu5N6AmPAjfJYWfEKLbcrtV6mxOaiwOyuptVDc5UFExGXREmWQyRqBTVZXKJoenpe5P+8kW1lips7WdKRsfFkxSVAhj+8U0T6bwjLkzd9FMWSE6gnynCiG6jZaxek12z8SMPdUW7C43ep1CaJCenj2kWy3QuNwq5Q02CmrbjrlrWQbF4mi17ZgCvSNMJEeamDSoF+bmwi45ykRipAmTQWbKCv8nhZ8Qwq/ZnC4qG+2U1tuoanLgdKmoqBh0ChFGAwbpwu32nC43xXW2Vmvb7euaLaqz4mg1UzZIr2CO8HTFZidHertkk6NCSAg3YpCZsqKbk8JPCOF3HC431U0OCmos7G2woSieJVZkLb3uy+p0UdS8nl3brceslNZZaVXbERKkIzkyhH6xoYzrH0tylGesXXKkiV4yU1YEOCn8hBB+weFSqWy0U1xnpbjWiltVCQ3S06uHrKfXXTTYnN7JE4WtumaLai2UNdjbvDbCaCApykRG73AmD+rlHXOXFCkzZYU4FCn8hBA+y+50U9FoY2dVE6Ul1YQ2BGE0KMTIunp+SVVVaq1O77InBTUWdpRVs9daQkGNlWpL25mysaFBJEWFMDI5yrsrRUuBF2mSLnwh/gop/IQQPqV1cVBUa0VFJTzYQFRIEFFhwVqHJw5DVVUqGu1tWuwKW3XNNtj3bTumAL16GDgmugcnD4j1ttglR5kwR5roESy/ooToaPJTJYTQnNutUm/z7JrRsidpsF7XpmXPqnGMYh+XW6Ws3uYda/fnZVCszrYzZRMjPQVdRkK4d5ZsUlQIiREmLDXlsr6dEF1ICj8hhCYsDhf1Vid7G2yU1ttwuNzoFYUwo4E4WRNNcw5Xy7ZjbVvsCmutFNVacbbadixYr5DUvIfsqORo75ZjSZEmeh9mpqylK5IRQnjJ01UI0SWsDhf1NieVTXbK6mye9dMUMOoVmY2rEavD1Warsdb/L6230aq2IzRIT1KUiZSenm7Z1jtTxIUFy5hLIfyEFH5CiE6hqioNNs9CygU1FuptLhQFgpoXU5adDrpGy0xZz3i7fbNkC2qslDe2nSkbaTKQFBnCsIQIpqV5dqTw7ClrIjpEZsoK0R3Ik1cI0SGcLjeNdhcNNidVTXYqmhxYHS50Cp7uW5mY0SlUVaXG0rynrHc/WYt3vbsaS9ttx3r2CCY5ysSYPtHeLcc8kypMRMhMWSG6PSn8hBB/icutUmd1sLfBTlm9jSa7C1Cbu291hAR5FlQW7edunim7r8VuXwteYa2Vxj/NlO0dbiQ5KoTxA3p6W+xaxuCFBMm2Y0IEMk2fygUFBcybN4+ysjIURSEnJ4errrqKf/3rX7z77rsEBwczYMAAli1bRlRUFLt27SItLY1BgwYBMGbMGJ566ikA1q9fz0UXXYTFYmHq1Kk8/PDD0i0hRAeyOlw0OVw0WJ1UWhyUN9hxud0E6RR6BBvoJS167eJsmSlbY+GPohqqtjRS0NxqV1RrxdZ6pqzOs+1YUpSJTHPkvvXtIk0kRpgINsi2Y0KIA9O08DMYDNx///2MGDGC+vp6srKymDhxIhMnTmTRokUYDAZuuOEGFi1axL333gvAgAEDyMvL2+9cl112Gc888wyjR49m6tSprF69milTpnRxRkJ0H263Sp3NSXmDjcKWwkMFRQGTQUd0iEEG9B8lu9MzU7bwTy12hTVWiuqsuFrNpjDqdZibu2KP7xPtnUiRHBVCfLgRg0yGEUL8BZoWfgkJCSQkJAAQHh5OWloaRUVFnHbaad7XjBkzhtdff/2Q5ykpKaGuro4xY8YAMG/ePN5++20p/IQ4Cjani0a7izqrk6pGO1UWBw6XG4NOIdxokG7bI2RxuNqsbVfQvBB1QfNM2VYTZekRrCc5KoSBvXowIbWnd6xdpLuB/slmKayFEB3OZ57ku3btYuPGjYwePbrN8aVLlzJr1izvxzt37uTYY48lIiKCu+66ixNPPJGioiKSkpK8r0lKSqKoqKjLYhfC36iqSqPdRb3VQXmjnYoGO/bm1iYFzyb3ssTKwdVbnRTUtm2xa/l3xZ9mykaFGEiODCHTHNG8K0XL1mMmog4yU7amwiZFnxCiU/hE4dfQ0MCMGTN46KGHiIiI8B6/++67MRgMzJ07F/C0EO7Zs4fY2FjWr1/PWWedxebNm4/qWrm5ueTm5gJQWlpKcXExAOXl5R2UjW+TPLufI8nV5VZptDtptLuosTioszqb12hTCdbrMBp0BLUq8hwWcBz0bNpoqKnqsmupqkqNzUVxvYOiegcl9XaK6h3NH9upt7vbvD42RI85PJjs3iYSw8NJDA/GHBZEQngQYcF/nkyhAhZoslDbdODrd2WuWguUXAMlT5BcD/l6m5Mqh5FiZ30nRXR4mhd+DoeDGTNmMHfuXM455xzv8eeee4733nuPzz77zPsXsdFoxGg0ApCVlcWAAQP4448/MJvNFBYWet9bWFiI2Ww+4PVycnLIyckBIDs7m8TERO/nWv+7O5M8u58/5+p2q81Fnp29DXYqGu241SB0CoRG6DHH6PyyNa8jt/Zyqyp7G+wUNrfUFbT+f/O2cS10CiSEmzBHmUhPjGqzeHFSpAlTJ8yUDaRtzAIl10DJEyTXg7I4iIkykRgX3nkBHYamhZ+qqixcuJC0tDSuueYa7/HVq1fz3//+l6+++orQ0FDv8fLycmJiYtDr9ezYsYP8/Hz69+9PTEwMERER/Pjjj4wePZrnn3+ef/7zn1qkJIQmWva6rWy0s7fRTp3FgRu1udtWT2xoYC6+63SrlLbadsw7S7b5Y7tr34g7g07BHOkZYzfCHNk83s6zFEpihImgQ2w7JoQQ/kLTwu+7777jhRdeYOjQoWRmZgJwzz33cOWVV2Kz2Zg4cSKwb9mWr7/+mttuu42goCB0Oh1PPfUUMTExADzxxBPe5VymTJkiEztEt9dkd1Ld5OD3vfVsqjfgcoNe8UwYiAmgQs/mbNlTdt+ixS2TK4rrbG1nyhp0JEeZOCY6hBP6RXsLu6RIz0xZf2wFFUKIo6Fp4Td27FhUVd3v+NSpUw/4+hkzZjBjxowDfi47O5tNmzZ1aHxC+Aq3W6XB7qTe6qTa4qCy0U6Tw4WCgtPmIj4mqFtPBmiyu9hebaOmuqLNLNmCWit7/zRTNqx5puzguDBOTe1FctS+Ne569ggOmIJYCCEORPMxfkKI/bXsilFr9ayjV93kwI1nxq2xeTJGy163NVZ9tyj6aq2ONrNjC5sLu8IaC5VNbaeaxIQGkRRpIispkuSW9e2a/x9pMkhxJ4QQByGFnxA+oKVFr6bJQUWjZzKGS1XRKQqhQXqiQ/2/RU9VVSqbHG0mU7SMvSussVJna7unbHxYMObIEMb2iyE5KoRonY1Byb1JijR5i14hhBBHR56eQmikye6k1uIp9Moa7DjcbnQohATp/LbQc6sqe+tt3pa6gj+NubM49i2DolMgIcJEcqSJ0wb1Iql5l4qkKBPmSBMmQ9uZsjUVZUT1DOvqlIQQoluRwk+ILuByqzTYnNQ1L5hc1eTZFUNRPF234UaD32zB5XS5KWneU7Z1i11BjYXiOmubmbJBes+esslRIWQnRTZvOeb5OCHciEFmygohRJeSwk+ITuB0uam3eWbdVjTaqbbYcaueVi6TQe/zu2JYnS6Ka61tlj9pmUxRWmelVW1HSJCOpMgQ+sWGMq5/rKflrnnMXa8wmSkrhBC+RAo/ITpA6xa9sgYblY0O3KqKXlEIDdYTG+p7s0kbbE7PJIpWLXYtkyrKGtpuOxZuNJAcZSI9PpzJg3q1WcA4UNcIFEIIfySFnxB/QUuhV2vxFHpVTXZUFBRUn1kwWVVVaq3ONrNjW/5fWGul6k8zZWNDg0iKCiE7ue3OFMlRJiJNQRplIYQQoiNJ4SfEYaiqitXpptHmpKrJQWWTnTqro7nQg9Ag7Vr0PDNlnewsqt1vy7GCGgsN9n3bjilAXLiR5EgTJ/WPxRzZ3CXbPJmiR7A8DoQQoruTJ70Qf6KqKk12F7VWz0LJ5Q127G7PKnoGpWULtK4r9Fxulb0NB5hM0fx/q3PfTFl9y0zZqBAyEsK9O1MkR4WQGGHCaJDJFEIIEcik8BMBz+ly02h3eWbcNtipbLLjVEFBxaTX0yNYT6S+c7s6HS7PtmNttxzbN1PW0Wo2RbBeISkyBHOUiVHJ0cQaHAw0x5EcZaK3zJQVQghxCFL4iYBjc7posLmosdjZ22CnzurE3bxYssmgI9IU1CkzUa0Ol3fyRGGrLceKaqyU1FtptaUsoUF6kqJMDIgN5eQBsW3G3MWFBbdZ48+zvl10h8crhBCi+5HCT3RrLd229TYnlU2eQs/W3DWqV1rG53XcRIyWmbLecXa1Fu9CxuWNbWfKRpoMJEWGMDQhnClpvZq7ZT0FXowPTA4RQgjR/UjhJ7qNlkkYTXYXJXVWytRaKhps3m7bYL2O0CDPGnrtuUaNxdFc3P15X1kLNZa2247FhgaRHBXCmD7RJEWZSGqeUJEUaSJCZsoKIYToYlL4Cb/ldqvU25w02JxUNNqpbPRMwlBVsFRbiDU4/lK3rVtVqWi0tyrqrG1mzDb+aaZs73AjSVEmxg/o6SnqmrceM0eaCA3WH/xCQgghRBeTwk/4DbvTTZPDRWOrbluHS0WnqJgMenoYDUQ2F3k1VgNhh2jZc7pVypq3HStsta9sYa3nY1vrmbI6z7ZjSVEmhiWENy+B4mm1S4wwESwzZYUQQvgJTQu/goIC5s2bR1lZGYqikJOTw1VXXUVVVRWzZs1i165d9O3bl1dffZXo6GhUVeWqq67igw8+IDQ0lOeee44RI0YAsHz5cu666y4AbrnlFubPn69laqKdWrptG5rXzqtotFFv83SjKigY9brDbntmdzbPlK217rfGXXGdFWer2RRGvQ5zc0vdmD7RJDdPpEiKMtE73OQ3++gKIYQQh6Jp4WcwGLj//vsZMWIE9fX1ZGVlMXHiRJ577jkmTJjAjTfeyOLFi1m8eDH33nsvH374Ifn5+eTn57NmzRouu+wy1qxZQ1VVFXfeeSfr1q1DURSysrKYPn060dEy09Ff2J2evW0bbU4qLQ6qGu043G5UVSFYr2AK0tGrh3G/91kcLopaZsi2WuNud1UD5U1/tJkp2yNYT1KkiYG9ejAhtWfzAsaeMXc9e7SdKSuEEEJ0R5oWfgkJCSQkJAAQHh5OWloaRUVFrFq1ii+//BKA+fPnc/LJJ3PvvfeyatUq5s2bh6IojBkzhpqaGkpKSvjyyy+ZOHEiMTExAEycOJHVq1czZ84crVITh9C6y7aqyU5VkwOLw4UK3iVVwowGbytbvdXJjsqmP61x5yn0Kv40UzYqxDNTNqNXCP3jo73j7ZKjTESFyExZIYQQgc1nxvjt2rWLjRs3Mnr0aMrKyrwFYe/evSkrKwOgqKiI5ORk73uSkpIoKio66PEDyc3NJTc3F4DS0lKKi4sBKC8v75S8fE1X5+lwqVgdThrsLupsTuosDpwu1TMrAk9rXpBeocHhprje0fyfnaKWfzfYqbO525wzNkSPOTyYrN4mzOHhJIYHkxgWRGJ4EGHNkykaaqoIizI1v8MCTRZqm7o09S7TUFOldQhdIlDyBMm1OwqUPEFyPeTrbU6qHEaKnfWdFNHh+UTh19DQwIwZM3jooYeIiIho8zlFUTq0lSYnJ4ecnBwAsrOzSUxM9H6u9b+7s87IU1VVbE7PDhgt3bXVjXbsLjcQhIpKg+qk3GWnpM7WvPyJp4u2qNbaZqasTmmZKRtCemIUSVEh+8bcRZowBR3ZTNmonvEdnqevCpRcAyVPkFy7o0DJEyTXg7I4iIkykRgX3nkBHYbmhZ/D4WDGjBnMnTuXc845B4D4+HhKSkpISEigpKSEuLg4AMxmMwUFBd73FhYWYjabMZvN3q7hluMnn3xyV6YRcKwOFxaHiwabk8omz5g8i8PN3kYbJXVWyhvslNXbKGrehqyo1orNta/lzqBTSIw0kRxpYoQ50rsrRXKUZ6ZskGw7th9V9QxYdKue/XvdqKiq52vRYHOiqniPtbxWBc/H+87S/G8FVFA8//P83616jqOiKAqeU3j+rVM83fAt/1ea/78vNs8yOE63iqqquJuvadAph5wY0xymNyr1oK+EBrsTxepo8z4AvaKg1ymozbm3fF6v87Qot5zX3Xxf3M2xeu6LZ8cWd0vMqoqr+Tje26GA0vLBPoo3as+EI29Ire7bgfJRvPkqnkCbT6vDk4dO8eSKxdHmXnpi8tx7veL5o9ig87xH3/w1aX1fFOXPEe+j0ykyplWIAKVp4aeqKgsXLiQtLY1rrrnGe3z69OksX76cG2+8keXLl3PmmWd6jz/22GPMnj2bNWvWEBkZSUJCApMmTeKmm26iuroagI8//phFixZpklN303pR5Hqbk5I6K1vLGthdY6GkzkpJnY2yehvFdVZK6m24Ws+UNehIijRxTHQIJ/SLJily3xp38eHGTtkWrbO0FAbuVgVXS/HgUtt+3FJsoaieX/L76ql9v4lVpdWxllJM8ZY/SktZoSoorYqOloLLaNARpNehVyAkSE9USBAGvbKveNB5CgmdTkEH6HSe8+ua73lLQabXKSjN5/bk6ClJXG51X4GpurE7PUWd063icLlxqeBW9xXyCmDQ6TAG6TDoFIJ0OhTA6nR7x29C20Kk5cvfEpOCp+hRD1AtKQpU2YzERJi8J1Ga32NzurC53Oh1OgzKvttsc7mpt7m8+eoVhSC9bl+xpPMUT263iq45ZoPOM/SgZb9jxXv9tgVsy9e6JbZ9ObUtjlvuI+wrxmFfgatTFFxuFZeq4nC6sbvdOJwqwVYjvaJC0Ok899WgA33zPXW63Vidbtxuz/aDVqcbu8vzcct9davgdh3gRjZf2+50427+KEin834t/vwOBQjSt1zXE6fLrbb5Y0Jt+QZvUxzv/03vLZSbi1ejXkeQXsHq8OyT7bkPnq9VaJBelkkSopNoWvh99913vPDCCwwdOpTMzEwA7rnnHm688UZmzpzJkiVL6NOnD6+++ioAU6dO5YMPPiAlJYXQ0FCWLVsGQExMDLfeeisjR44E4LbbbvNO9BBHzuVWsThclDfY2FRaz29768nf20hhnZWSWk9hV95gb/PLoUewnmOiQkiLC2PiwF4kR5matx4z0bNHcId107dukXE3t8i0LraANi0ejc0tJu7mX1T7Ko4DNIsAtLTwtPwCa/NvTyHVUjR4/o+30DDodAQZFAw6zy8qU/MvLJV9rVGeAst7JW8R0FJQGHSK97ii7GvB0Sme9ynNLTwHUmywkJgY2b4b7AeKXfUkxmvXPdKVit31JMaFddr53W7VM8HK7qLW4mjzB5v320wBt9szJgkg1KgjJEiHUa9D3/wiXfPPQcv3aUuLpacAVrwFpc3lxuna10Jqc7iotTpodLgJNRqIDzdhMugINijU21yUN9ipbbCBoqBXIFiv8/58O92qt8Ub1XON4OYi0tD8MyqEODhNC7+xY8e2+Su4tc8++2y/Y4qi8Pjjjx/w9QsWLGDBggUdGl93VlZnY3NZPVv31rN1bwPbKhrZXW2hpM5GtcXR5rXRIUEkR5nITo7ybjnWMuYu0mQ4aEGiNnf90dx95mp+YLuaW5ZaCrJ9rVtA8y+QlhazltYBRdlXeOmU5qJLt697DMClerrAdAroLcHERYUQbNARrNd5fxkZ9M1FltrSFeZp+Wn9i6qlxc5znY4dYyqEL9DpFMKMnkXO48P3Xyapo/U4xOeKgywk9m5b0KfFe1ozG2wuaix2Gu0unC4VvU7BGKTDZNBjMuhQFAWLw0V9cxHZaHNib548tm/4wr6W8pbu7dZd5LpWxaoQgUDzMX6ic6iqZ2eKbRWNbCmr54/yRvIrGvm9tJbihjxvF1iLXj2CSY4yMa5/jLfFLikqhMQII6FBepzNhZrbjbe7x+lWqWiyQ0tnYUtjmrqv1aCl6ArS6wgN9hRhQQbPgzu4VbebQbevhaulBayluwwO3tp1MMU0dmqLiRCicxkNeowGPbE9go/qfS63ir25hdHucqMoYLG7sDndnmdXc7e6xeHpIrc63DhcbtzulgdXqy7rljGY3qEZno/1zcMtjHqdd1iAEP5CCj8/5narFNZa2F7ZxLaKRn7f20B+RSPbK5rYWdVIk2PfGCydAnFhRuJDdYwf0JOkKBPx4Ubiw4z0jjBiNOhbDTTf1y3pUj3jtIxBekIMnvFPRoNn/E2QztO1om9uGTPodN7WM+/4MfkrWgjRhfQ6hRCdHoJaHQw9/PscruYCsNUEoZYhJZ7JQc1jet0qDTYnNRYHNVYHdovTO0mqZUCvouwbR+vpZdAdeuaSEF1ICj8f53C52V1tYVtFI9srGtlW2Uh+eSPbKhrZVW1ps6esQacQH24kLiyYkwbEelvuEiNMxIUHExJkwFZbQa+43hgNOkKC9M2tcHoMeqXNeLTW/xZCiO4uSK874tUE4lp1jztdbhzNk54cLk9PiM3hosnpwuZwY2meHFdjdeJotDW/q+3Y4pYxwC3jhY16nfzRLDqNFH4+wOpwsaO51W57ZSPbKjz/zq9oZE+Npc3Aa5NBR2KkicRwE0N7R5DQvO1Yv5hQ+seEEhUSREiwnqDmSQhB+n0zGRVFobjYQWJitIbZCiFE92HQ6zDoPbPrD6Uo1EZc716e2fEuFafbUyg6mgtHl1ulye6k3uai0uLwjE9s7mZumdii13lWS9A3r29rkD/OxV8ghV8Xqbc6m4u6xuYCb19xV1xnbTPRNNyoJykyhJSeoZw0IIbECM9M2bT4MAbEhhJmNBCs1xFs2FfQCSGE8F2K0vLHOG27oQ9AVVUczWMUHS63d6mbxuYu5pZCscHm9OxpfoClc/aNl9Z5u5xlAosAKfw61Xc7q7j+vS1sq2hkb0PbPWVjQ4MwR4aQmRjBGUPivQsYD+rVg2OiQ4k0GQgN1ktRJ4QQAUZRFIINyv5rGR5gBrbbreJobj20NxeJTreKxe7C4vQstG9xuKm3OD1rPbast9g8HlGngEHvWccyJEi6mAOBFH6dKCRIh8utcnzfGO8yKEmRJtLiw0iMDCHCZDhs94AQQghxMDqdglGnx3gEv81drcYithSLLbsw1TfvwuRWVc/yWbrmtRGb1ydtWeC95bgUiP5LCr9ONCIpih+vOlHrMIQQQojmCXt6TAfpana63NTbnFidbuqtThodLizN+6ibgnToUGh0uKhrcrTsTOihtHQxe2ZCW6xOdFaHp2tbp8iSNz5GCj8hhBBCYNDriA71rJuYEHHw17ndKjaXG7vT7V26xrOdo6dFsVBtICTcSKPNRaPDhd3q8IxDVPftD77/7tctVAyKQkiwHpNBesQ6gxR+QgghhDhiuua1Eg82VMndEEJi732VY8s4xNacLk/xqKr7trD0rJcI9TYHZd4tQlXPLkqtZjK3TG4Uf40UfkIIIYToNC3jEFszGg6+lV98uJGUnmE4XG4a7S4abU5sTjd2txubw02dzUldo927v3mwft/WnI7mpXJ0Os96iMEGncxm/hMp/IQQQgjhc4L0OqJCdESF7D8o0bPuoYsmh4tai4M6mwOnGyJMOkKC9TicKrU2J9UWh2c3luadqQzNy+oE6wN3kooUfkIIIYTwK3qdQrjJQLjJQPwBlrlpoaqqd09mq9NNvc1Bvc1Fg81JXZOzeQ1dz+DDltUQW8YZGg16DDrPVqXgKTadavOe9W7Pvs81lpYdWbz79qEoCj2CD94VrjUp/IQQQgjRLSnNBZzRoCcS2hSJqqpic7qxOT0LZbdMUm4ZZ1hjcWBxuKmzOFHA26XcI1iHMUhHkE5HtDuExMTI5kWyPd3NtRYHhbVWyhtsqAqEGvToFAWH202t1UGiatLiVnhpWvgtWLCA9957j7i4ODZt2gTArFmz+P333wGoqakhKiqKvLw8du3aRVpaGoMGDQJgzJgxPPXUUwCsX7+eiy66CIvFwtSpU3n44YcDsvlWCCGEEEdGURRMQXpMB2iZO1QrYmvFzjp6R7Qt5CJMQSRHh2JzuqixOCmps+J0u+kZFEzvcCMxB+i67kqaFn4XXXQR//jHP5g3b5732CuvvOL997XXXktkZKT34wEDBpCXl7ffeS677DKeeeYZRo8ezdSpU1m9ejVTpkzp1NiFEEIIIQ7GaNATH64/4iKyq2g6H3rcuHHExMQc8HOqqvLqq68yZ86cQ56jpKSEuro6xowZg6IozJs3j7fffrsTohVCCCGE8G8+uxDON998Q3x8PKmpqd5jO3fu5Nhjj+Wkk07im2++AaCoqIikpCTva5KSkigqKuryeIUQQgghfJ3PTu5YsWJFm9a+hIQE9uzZQ2xsLOvXr+ess85i8+bNR33e3NxccnNzASgtLaW4uBiA8vLyjgncx0me3U+g5BooeYLk2h0FSp4gufo6nyz8nE4nb775JuvXr/ceMxqNGI2efvKsrCwGDBjAH3/8gdlsprCw0Pu6wsJCzGbzQc+dk5NDTk4OANnZ2SQmJno/1/rf3Znk2f0ESq6BkidIrt1RoOQJkqsv88mu3k8//ZTBgwe36cItLy/H5fJsFr1jxw7y8/Pp378/CQkJRERE8OOPP6KqKs8//zxnnnmmVqELIYQQQvgsTQu/OXPmcNxxx/H777+TlJTEkiVLAFi5cuV+kzq+/vprhg0bRmZmJueeey5PPfWUd2LIE088wSWXXEJKSgoDBgyQGb1CCCGEEAegqC27Iwegnj170rdvX8DTotirVy9tA+oCkmf3Eyi5BkqeILl2R4GSJ0iuvmDXrl1UVFQc8HMBXfi1lp2dzbp167QOo9NJnt1PoOQaKHmC5NodBUqeILn6Op8c4yeEEEIIITqeFH5CCCGEEAFCCr9mLUu8dHeSZ/cTKLkGSp4guXZHgZInSK6+Tsb4CSGEEEIECGnxE0IIIYQIEH5b+BUUFDB+/HiGDBlCeno6Dz/8MABVVVVMnDiR1NRUJk6cSHV1NQBbt27luOOOw2g0ct9997U514MPPkh6ejoZGRnMmTMHq9V6wGsuX76c1NRUUlNTWb58OQBNTU1MmzaNwYMHk56ezo033tgt8wSw2+3k5OQwcOBABg8ezBtvvOHXeU6ePJmoqChOP/30Nsd37tzJ6NGjSUlJYdasWdjt9g7Ls6Nzffjhh8nIyCA9PZ2HHnrooNdcvXo1gwYNIiUlhcWLF3uPz507l0GDBpGRkcGCBQtwOBzdMk9VVbn55psZOHAgaWlpPPLIIx2Wp1a5LliwgLi4ODIyMtocP9g1tcr1pZdeYtiwYQwdOpTjjz+en3/+2Xuug329/swfnr2dlSd07rNXq1z95fl7qFwP9jP4Z1o8fw9J9VPFxcXq+vXrVVVV1bq6OjU1NVXdvHmz+q9//UtdtGiRqqqqumjRIvX6669XVVVVy8rK1LVr16o33XST+r///c97nsLCQrVv375qU1OTqqqqet5556nLli3b73qVlZVqv3791MrKSrWqqkrt16+fWlVVpTY2Nqqff/65qqqqarPZ1LFjx6offPBBt8tTVVX1tttuU2+++WZVVVXV5XKp5eXlfpunqqrqp59+qr7zzjvqtGnT2hw/77zz1BUrVqiqqqp/+9vf1CeeeKLD8uzIXH/99Vc1PT1dbWxsVB0OhzphwgQ1Pz9/v+s5nU61f//+6vbt21WbzaYOGzZM3bx5s6qqqvr++++rbrdbdbvd6uzZszs0V1/Kc+nSpeqFF16oulwu77U6Ulfnqqqq+tVXX6nr169X09PT2xw/2DW1yvW7777zPkM++OADddSoUaqqHvrr1Zq/PHs7K09V7dxnrxa5qqr/PH8PlquqHvxnsDWtnr+H4reF359Nnz5d/fjjj9WBAweqxcXFqqp6vsADBw5s87rbb799v0IhKSlJraysVB0Ohzpt2jT1o48+2u/8L7/8spqTk+P9OCcnR3355Zf3e92VV16p5ubmdlRa+9Eyz6SkJLWhoaEz0tpPZ+fZ4osvvmjz4HG73WpsbKzqcDhUVVXV77//Xj3ttNM6MrX9/NVcX331VXXBggXej//zn/+o9957737n/3MO99xzj3rPPffs97oHHnhAvemmm9qdz8FomefIkSMPWkB1hs7OtcXOnTv3+6VzuGt2tCPNVVVVtaqqSk1MTFRV9ci/L/3t2auqHZ9nVz57VbXzc23hT89fVW2ba4sD/Qy25ivP39b8tqu3tV27drFx40ZGjx5NWVkZCQkJAPTu3ZuysrJDvtdsNnPddddxzDHHkJCQQGRkJKeddtp+rysqKiI5Odn7cVJSEkVFRW1eU1NTw7vvvsuECRM6IKv9aZlnTU0NALfeeisjRozgvPPOO+w1/6quyPNgKisriYqKwmAwAAf+Onek9uSakZHBN998Q2VlJU1NTXzwwQcUFBTs97oj+d51OBy88MILTJ48uQOy2p/WeW7fvp1XXnmF7OxspkyZQn5+fgdm11ZX5HooR3vN9jjaXJcsWeLdUvNIvi+P9HW+9uztyDy78tkLXZPrwfj687d1rkfKF56/f+b3hV9DQwMzZszgoYceIiIios3nFEVBUZRDvr+6uppVq1axc+dOiouLaWxs5MUXXzzqOJxOJ3PmzOHKK6+kf//+R/3+w9E6T6fTSWFhIccffzwbNmzguOOO47rrrvtLuRyK1nl2pfbmmpaWxg033MBpp53G5MmTyczMRK/X/6VYLr/8csaNG8eJJ574l95/KL6Qp81mw2QysW7dOi699FIWLFhw1HkcCV/I9Wiv+Vcdba5ffPEFS5Ys4d577+3QOHzt2dvReXbVsxe0z7Ur+VKunfn8PRC/LvwcDgczZsxg7ty5nHPOOQDEx8dTUlICQElJCXFxcYc8x6effkq/fv3o1asXQUFBnHPOOXz//fesWbOGzMxMMjMzeeeddzCbzW3+8i4sLMRsNns/zsnJITU1lf/7v//rlnnGxsYSGhrqvf55553Hhg0b/DbPg4mNjaWmpgan0wns/3XuKB2RK8DChQtZv349X3/9NdHR0QwcOJCCggJvrk899dRhv3fvvPNOysvLeeCBBzo4S9/JMykpyXv9s88+m19++aWjU+3SXA/lr1zzaB1trr/88guXXHIJq1atIjY2FuCgXy9/fvZ2Rp5d8ezt6lwPxlefvwfK9WB86fl7UF3SodwJ3G63euGFF6pXXXVVm+PXXXddmwGa//rXv9p8/s9jan788Ud1yJAhamNjo+p2u9V58+apjzzyyH7Xq6ysVPv27atWVVWpVVVVat++fdXKykpVVVX15ptvVs855xzvwPGO5Et5zpo1S/3ss89UVVXVZcuWqeeee67f5tniz2NMVFVVzz333DaDix9//PH2pLafjspVVfdNUti9e7c6aNAgtbq6er/rORwOtV+/fuqOHTu8g4s3bdqkqqqqPvPMM+pxxx3nnQzTkXwpzxtuuEFdsmSJqqqer3l2dnZHpOjV1bm2OND4osNds72ONtfdu3erAwYMUL/77rs2rz/U16s1f3n2dmaenfns1SLXFv7w/D1Yri0ON8ZPq+fvofht4ffNN9+ogDp06FB1+PDh6vDhw9X3339fraioUE855RQ1JSVFnTBhgvcHp6SkRDWbzWp4eLgaGRmpms1mtba2VlVVz4ypQYMGqenp6eoFF1ygWq3WA15zyZIl6oABA9QBAwaoS5cuVVVVVQsKClRAHTx4sDeOZ555ptvlqaqqumvXLvXEE09Uhw4dqp5yyinq7t27/TrPsWPHqj179lRNJpNqNpvV1atXq6qqqtu3b1dHjhypDhgwQD333HMP+n5fyHXs2LFqWlqaOmzYMPXTTz896DXff/99NTU1Ve3fv7961113eY/r9Xq1f//+3jjuvPPObplndXW1OnXqVDUjI0MdM2aMmpeX12F5apXr7Nmz1d69e6sGg0E1m83qs88+q6qqetBrapXrwoUL1aioKO9rs7KyvOc62Nfrz/zh2dtZeapq5z57tcrVX56/h8r1YD+Df6bF8/dQZOcOIYQQQogA4ddj/IQQQgghxJGTwk8IIYQQIkBI4SeEEEIIESCk8BNCCCGECBBS+AkhhBBCBAgp/IQQopPdcccd3HfffVqHIYQQUvgJIYQQQgQKKfyEEKIT3H333QwcOJCxY8fy+++/A/DII48wZMgQhg0bxuzZszWOUAgRiAxaByCEEN3N+vXrWblyJXl5eTidTkaMGEFWVhaLFy9m586dGI1GampqtA5TCBGApMVPCCE62DfffMPZZ59NaGgoERERTJ8+HYBhw4Yxd+5cXnzxRQwG+btbCNH1pPATQogu8v7773PFFVewYcMGRo4cidPp1DokIUSAkcJPCCE62Lhx43j77bexWCzU19fz7rvv4na7KSgoYPz48dx7773U1tbS0NCgdahCiAAjfQ1CCNHBRowYwaxZsxg+fDhxcXGMHDkSRVG44IILqK2tRVVVrrzySqKiorQOVQgRYBRVVVWtgxBCCCGEEJ1PunqFEEIIIQKEFH5CCCGEEAFCCj8hhBBCiAAhhZ8QQgghRICQwk8IIYQQIkBI4SeEEEIIESCk8BNCCCGECBBS+AkhhBBCBAgp/IQQQgghAoQUfkIIIYQQAUIKPyGEEEKIAGHQOgAt9ezZk759+3bqNRwOB0FBQZ16jUAl97ZzyH3tHHJfO4fc184h97XzdMW93bVrFxUVFQf8XEAXfn379mXdunWdeo3i4mISExM79RqBSu5t55D72jnkvnYOua+dQ+5r5+mKe5udnX3Qz/lsV++CBQuIi4sjIyPDe+yOO+7AbDaTmZlJZmYmH3zwgfdzixYtIiUlhUGDBvHRRx9pEbIQQgghhE/z2cLvoosuYvXq1fsdv/rqq8nLyyMvL4+pU6cCsGXLFlauXMnmzZtZvXo1l19+OS6Xq6tDFkIIIYTwaT5b+I0bN46YmJgjeu2qVauYPXs2RqORfv36kZKSwtq1azs5QiGEEEII/+Kzhd/BPPbYYwwbNowFCxZQXV0NQFFREcnJyd7XJCUlUVRUpFWIQgghhBA+ya8md1x22WXceuutKIrCrbfeyrXXXsvSpUuP6hy5ubnk5uYCUFpaSnFxcWeE6lVeXt6p5w9kcm87h9zXziH3tXPIfe0ccl87j9b31q8Kv/j4eO+/L730Uk4//XQAzGYzBQUF3s8VFhZiNpsPeI6cnBxycnIAz6yXrpi1JDOjOo/c284h97VzyH3tWF9vr+TzPW5uH5aAoihah9PtyPdr59Hy3vpVV29JSYn332+99ZZ3xu/06dNZuXIlNpuNnTt3kp+fz6hRo7QKUwghRCeyO93c8N4WTn7ye+78spDbP/pd65CE8Bs+2+I3Z84cvvzySyoqKkhKSuLOO+/kyy+/JC8vD0VR6Nu3L08//TQA6enpzJw5kyFDhmAwGHj88cfR6/UaZyCEEKKj/VZWz/kvbiCvuI6zM3qzt7aeez7NZ2zfGE4bHKd1eEL4PJ8t/FasWLHfsYULFx709TfffDM333xzZ4YkhBBCI6qq8sR3u7ju3S2YgnTcd8YQLh6VzN6yMk57cStzX97IL9eeREKkSetQhfBpftXVK4QQIvCU1ds4fcla/vHWJkaYI1l5QRb/N64/MaHBRBj1vLNgFPVWJ9OXrsXpcmsdrhA+TQo/IYQQPuvdzaUM/d+XfPZHBf86eQArLxzBpMFx6HX7JnNkmiN55Ox01hXWctXbmzWMVgjf57NdvUIIIQJXo83Jte9u4ekfdjOwZw8eOyeD6em9MQUdePx2znF9+XpHFU98v4tx/WOYdeyBV3YQItBJ4SeEEMKnrC+oYe5LG/i9vJELs8z86+QUhiZGHPZ9z8wczvrCWi597RdGJEWS2iusC6IVwr9IV68QQgif4HKrLPosnzGPfEu1xcGTM4by2DlDj6joAwgJ0vPewlGoqsr0pT9hdcie7UL8mRR+QgghNLe7qolTnvyemz7YyskDYllxwQhyxvQhwhR0VOcZ0LMHy+dksnVvAxet2NhJ0Qrhv6SrV/glt1vVOgQhRAd5eUMhl7/xKw6Xyh2nDeRvx/Whd8RfX5blnGGJ/HNsFY9+u5Nx3+3k8hP6dWC0Qvg3afETfmdzaT3m/3zC0g1lWocihGiHGouDuS9uYO5LG+kTHcrLFxzLTaemtqvoa/HA9CGMSo7imne2sKGwpv3BCtFNSOEn/EqT3cnM59dRWm/j/31dxC/FtVqHJIT4C77eXsnw+77ilbwi/n5cH16bP4IzMxII0nfMryWDXsfbC0YSFqzn7OfWUWdxdMh5hfB3UvgJv3LlW5v5rayBO04biFGvMOfFDbJgqxB+xO508+/3f+PkJ7/HraosmTmc+84YwsBe4R1+rYQIE6/Oy6KwxsK5z69DVWWIiBBS+Am/8fKGQpas3cNFI5O5+qT+3DuxD1vKGvjXu1u0Dk0IcQS2ltVz/KPfsvjzbUwfEs9r87KZNzKZHsbOG25+Smovbj9tIJ/8UcFdn+Z32nWE8BdS+Am/kF/ewN9e+4XhiRHccMoAIkxBnDk4hnOG9ubR73bx3c5KrUMUQhyEqqo89f0uRjz4NdsqGvnf6WksmZXJmL7RKIpy+BO00y2nDuTU1J7c+fEffJFf3unXE8KXSeEnfJ7N6WLWC+vR6xTunjKYQXH7uoSenTmcmJAgLnx5IxZZs0sIn7O33saZS3/isjd+ZVhCBCsvGMHVJw0gtkdwl8Wg0ym8Oi+L3mFG5ry4gbI6a5ddWwhfI4Wf8Hn/evc3NhbVcdvEgUwa1KvN56JDg3l+zrHsrLJw2eu/aBShEOJAPvitjKH3fclHv+/l2pP688qFWUxOi2+zz25XiQ4NZtWCkVRbHJy57CdcsiSUCFBS+Amf9tavJTz67U7mHJvIgtHHYDjAjL/JaXEsHH0Mz68r5P0tpRpEKYRorcnu5B9v/sq0Z9cSYTLw/JxjuWvKYPrEhGoaV1ZyFA+emc6aPTVcs2qzprEIoRUp/ITP2l3VxIJX8kiLC+OmCalEhRx8Bf+Hz0wnOSqES1/9hVqLvQujFEK0trGwluyHvuHx73Zx/rFmXp+XxaxjzZiC9FqHBsBlx/dl5vAEHv12J2/+Uqx1OEJ0OSn8hE9yuNzMfnEDDpfKoqmDyUg49F6dPYwGXr7gWMoabFy0Mq9rghRCeLndKv/9fBujH/mGigY7j52dwRMzhjLcHKV1aG0oisKy2Zmk9OzBgld+Zmdlk9YhCdGlpPATPunWD3/nx93V3HJqKlOHxB/Re07oF8vV4/rz9qYyXt5Q2MkRCiFaFFRbmPDUD9zw/m+M7RfDigtGcNnxfYk8RCu9lkKDDbx3ySicbpUzlqzF7pS1QEXgkMJP+JzVW/dy7xfbODujN5eO6XNUK/nfMzWNwXFh/POtTZTKzD0hOt0rG4sYdv+XrNlTza0TU3np/GOZMLAXOg0mcByNgb3CeHbmcDaX1bPwlTytwxGiy0jhJ3xKca2VC1/eyIDYUG45NfWol3wINuh45cIs6m1Ozn9pg6zUL0QnqbM6mPfyRma/uIHkyBBWzB3BLacOJCEyROvQjtjsY81cdnwfXtxQxDM/7tY6HCG6hM8WfgsWLCAuLo6MjAzvsaqqKiZOnEhqaioTJ06kuroa8CwOeuWVV5KSksKwYcPYsGGDVmGLdnC5Vea+tIEGm5PF09IYkRz1l84zLDGC208byBfbKnniu10dGqMQAr7d4dln96UNhVw6+hhem5/FmUMTCDb47K+Ug3r4rAxGmCO56u1N/Fwke3+L7s9nf0ovuugiVq9e3ebY4sWLmTBhAvn5+UyYMIHFixcD8OGHH5Kfn09+fj65ublcdtllWoQs2umuT/7gy+2V3DA+henpvdt1rhtPSSU7KZIb3/+NHZWNHRShEIHN4XJzy4dbOemJ73G4VZ49bzgPnJneZlF1fxOk1/HOwpGYDHrOfu4nGmxOrUMSolP5bOE3btw4YmJi2hxbtWoV8+fPB2D+/Pm8/fbb3uPz5s1DURTGjBlDTU0NJSUlXR2yaIcvt1Xwn0/+YMrgOC47vk+7Ww70OoWVF2bhUlXmvLABtyzWKkS75Jc3cMKj33H3p/lMS4vn1XkjuGhUMmGduM9uVzFHhrDighHsqrIw8/n1MkREdGs+W/gdSFlZGQkJCQD07t2bsrIyAIqKikhOTva+LikpiaKiIk1iFEevvMHG+S9tICkqhFsnphIfYeqQ8w7o2YP7zkhnbUEN93wmm7ML8VeoqsozP+4m8/6v+X1vA4unDWbprOEc3ze2S/bZ7SqTBsdx86mpfLh1L/d+vk3rcIToNH77p5qiKH/poZObm0tubi4ApaWlFBd37gKe5eWyIfihuFWV+W9to6LBzqOTkzkmyHLEX5Mjubdn9g3i5eQw7vrkD46P0zG4l7Y7B/gD+Z7tHP54X6uanFz38S4+2l7Lsb1Duf64eE7oG4q9rpLiOq2j8+jI+/q3YeF88XsYt67eyuBwN6OS/LcLu7388fvVX2h9b/2q8IuPj6ekpISEhARKSkqIi4sDwGw2U1BQ4H1dYWEhZrP5gOfIyckhJycHgOzsbBITEzs97q64hr/63xfb+HxnHTeMH8D8cYOOenX/I7m3r14cS9q9X3DlR4XkXTvugNu+ibbke7Zz+NN9/WjrXi5auYnKJjv/d2I/rhrXj74xPbQO64A68r6uurQXGf/7kss+2M2v151EzzBjh53b3/jT96u/0fLe+tVvwOnTp7N8+XIAli9fzplnnuk9/vzzz6OqKj/++CORkZHeLmHhu37cXc1NH2zllJRYrjyxX6dt6ZQYaeLJGUPZXFbP9e9t6ZRrCNFdWBwurnp7E5OfWUNosJ7lszO5Z1qazxZ9HS22RzCrLh5JRaOdM5f9JOODRbfjs4XfnDlzOO644/j9999JSkpiyZIl3HjjjXzyySekpqby6aefcuONNwIwdepU+vfvT0pKCpdeeilPPPGExtGLw6lusjP7hfXEhQVz28SBJHby2l/nZyVxdkZvHvl2F9/vquzUawnhr34urmXkQ9/wyDc7mZ2ZyGsXZjFnRBIhPrLPblcZ1Sea/50xhO93Vcsfi6Lb8dmu3hUrVhzw+GeffbbfMUVRePzxxzs7JNFBVFVl4as/U1hrZcl5wxg3ILZLrvvsrOEMWvwFF76cx+Z/newzm8YLoTW3W+XBr3dw0wdbCTfqefSsDC7ITiLKR7dc6wpXndiPr3dU8sBXOxjXP5bpGe1bYkoIX+GzLX6i+3riu1289Wsp/zyhL+dlJnbZzMCY0GCWz85kR2UTV7zxa5dcUwhfV1hj4bTcH7nu3S0c1yealReM4PIT+gZ00QeeBoXn5xxLv5hQLlqZx57qJq1DEqJDSOEnutTGwlqueWcLJ/SN5uqT+hMa3LWNzlOHxHPxyGSW/VTAh7+Vdem1hfA1r/9czLD7vuK7nVXccmoqL19wLKcOivP5fXa7SpjRwHuXjMLqdHHGkp9wuNxahyREu0nhJ7pMvdXJzBfWEWkycOekQRwTrc3SKo+cnUFSlIlLXv2ZOotDkxiE0FK91cnFK/M47/n1JEQYeXnuCG7tgrG2/igtPpzcc4fzS0kdOa/9rHU4QrSbFH6iS6iqyt9f/4UdlU3cPWUw41N6ahZLmNHAy3NHUFpv46JX8jSLQwgtfL+ziswHvuL5dQUsHJXM6/OzOXuYf+6z21UuyE7iktHH8NxPhTy3do/W4QjRLvKTLrrEsrUFvLyxiJwxfZgzwqx5V9LY/rFcdWJ/3vq1lBUbCzWNRYiu4HS5uX3175z4+HdYHS5yzx3Gg2dmkBYfuIsUH43HzxnK8MQI/vHWJjaX+sjq1UL8BVL4iU63pbSef7z1KyOTI7nu5AE+s7fnommDGdirB/98cxN7621ahyNEp9lW0cjYx77jP5/8weTBcay8MIsFo48h3OQbP4v+INig450FIzHoFM5a9hNNdqfWIQnxl0jhJzpVk93JzBfWYzLo+X+TBzOgp+8sAms06Hl1Xha1Vifnv7RBNmYX3Y6qqixds4fM+79iS1kD90wZzHOzMzmxf/faZ7erHBMdyktzR7C9ook5L8gzQ/gnKfxEp/q/VZvZXFrP/5s8iFMH9tI6nP0MT4zkttMG8ll+BU99v1vrcIToMJWNds5dvo6Fr/7M4LgwVlwwgn+NH0CvAN6CrCNMGxLP9eMH8M6WMh74aofW4Qhx1KTwE51mxYYinvlxDxdlJ3FhdhJ6H10i4qYJqWQlRXLD+7+xq7JR63CEaLdPfi9n2H1f8s7mMq4c24/X5mUxbUi87FPdQe6emsaJ/WO46YPf+GFXldbhCHFU5CkgOsW2ikZyXvuZYQkR3HBKChEm310MVq9TWHlhFg6Xm9kvSveN8F9Wh4trVm3mtNwfMRp0PDc7k8Wnp9Ev1neGWHQHep3CG/OziQ4J4rzl66lqlDHCwn9I4Sc6nM3pYtYL69EpCvdMGcRgP5g1mNKzB/87Ywhr9tRwz2f5WocjxFH7taSOUQ9/w4Nf7+C84Qm8Oi+buVmBt89uV+kVZuSN+SMpbbBx1nPrcLvlD0bhH6TwEx3u+vd+Y0NhLbedNpBJg+O0DueIXXFCX04aEMv/+yRflmsQfsPtVnno6x2MfOgbimqtPHRmOk+fO4zs5CitQ+v2Tugfw+Kpg/lmRxW3fLhV63CEOCJS+IkO9favJTzyzU7mZCayYFSyX40pUhSFl+Yei1GvY84LG3DK9kzCxxXXWpn8zI9cvWozo5KjWHnBCP4xth/RocFahxYwrj15AGekx3PvF9tkG0jhF/znt7LweXuqm1jwimcG4b8npPrlLx9zZAhPzBjKr6X13Pj+b1qHI8RBvfVrCcPu+5Kvd1Tx71NSWHHBCCYOivPZSVTdlaIovHT+CI6JCuHClzdSVGPROiQhDkkKP9EhHC43c17cgN3lZtHUwQxNjNA6pL9sblYS09PjefibnTJjT/icBpuTha/kcc5z64gLM/LS+cdy+6SBmKNkn12thJsMvLtwFI12F9OXrpXeAuHTpPATHeK21b/z/a5qbpqQwrQh8VqH025LZ2USaTJw4csbsTldWocjBABrdleTef9XLFtbwMUjk3ltfhYzhidiNMgEDq1lJETw5IyhbCiq44o3f9U6HCEOSgo/0W4fbd3L4s+3cXZGb3LG9CHIj8b1HUxsj2Cem53J9somrnhDHuJCW06Xm/98/AcnPPYdjXYXT587jIfPyiC9t/+2rHdHF406houyk8j9cQ8vb5A9wIVv8v/f0EJTJXVWLnx5I/1jQ7np1FR6dqNdAU5P78387CSWri3g4617tQ5HBKgdlY2c9MT33P7R70xM7ckrF2RxyRjZZ9dXPXnuMNLjw/jba7+wdW+91uEIsR8p/MRf5nKrzH1pA3U2J4unDu6Wy0c8ds5QzJEmFrzyM3UWh9bhiACiqirLfyog8/6v+bm4jrsmD+L5849lXIrss+vLTEF63rtkNDpF4cylP2FxyFAR4Vuk8BN/2T2f5fPFtkpuGD+A6Rm9tQ6nU4QZDbx8wQiK66wsePVnrcMRAaKqyc6sF9Zz0co8UnuGsvKCEVx/Sorss+sn+saE8sL5mfxR3siFL2/UOhwh2pDCT/wlX22v4I6PfmfK4F5cfnzfbj24/MT+sVx1Yj/e+KWEV/OKtA5HdHOf51cw7L6vePPXUv5xQl9enZfN6em9u8XY2UAyPSOBa0/qzxu/lPDoNzu0DkcIL798kvTt25ehQ4eSmZlJdnY2AFVVVUycOJHU1FQmTpxIdXW1xlF2X+UNNs5/cQNJkSHcMjGV+AiT1iF1usWnp5HasweXv/Er5fWyL6foeDani+ve2cyEp37AoFN4btZw7j09jQE9ZZ9df7V4WhrH9YnmX+/+xk975HeS8A1+WfgBfPHFF+Tl5bFu3ToAFi9ezIQJE8jPz2fChAksXrxY4wi7J7dbZf6KPMob7SyaOpjj+sRoHVKXMBr0vDovi1qrk/Nf2oCqyr6couNsLq1n9MPfcv9XO5gxtDevXpjF3KwkQoNlAoc/M+h1vHXxSMJNBmYsX0dNk13rkITw38Lvz1atWsX8+fMBmD9/Pm+//ba2AXVTD3y1gw+37uXqcf05Z1hCQA0yzzRHcsvEVD7Nr+DpH3ZrHY7oBlRV5dFvdpL94NfsqbbwwPQhPDNzOKP6RAfUz1Z3Fh9u5I352RTXWpmxfL380Sg055eFn6IonHbaaWRlZZGbmwtAWVkZCQkJAPTu3ZuyMtkzsaOt2V3Nvz/4jfEpnjFvpqDuO67vYG6ekMqx5ghueO83dlc1aR2O8GOldVamPruGK9/eRFZSJCsvGMGVJ/b3y60OxaGNGxDL/5s8mM+3ecZGC6Elv+xH+PbbbzGbzezdu5eJEycyePDgNp9XFOWgfy3n5uZ6i8XS0lKKi4s7Ndby8vJOPX9XqbU6Oe+F34gN0XPViChorKa4UdsxK1rd20cmJTNx+RbOXfoDb88Z3O1aZrrL96yvaX1fP9pWw3Uf76bB7uKfI+NYcGwv4sKdlJWWaBihf/KX79d5aaF8+lsEd32az5BIlRP7RGod0iH5y331R1rfW78s/MxmMwBxcXGcffbZrF27lvj4eEpKSkhISKCkpIS4uLgDvjcnJ4ecnBwAsrOzSUxM7PR4u+IanUlVVa58fj3FDQ6ePW8Y00cm+0yxo8W9TUyEe8+Aq97ezAtbm7hxQmqXx9DZ/P171ldFxsZx9TubeebHPQzq1YOnpwzmjPT4bj0rviv4y/frm5fEMfS+L/nHh3v45dqTSIj07Ylx/nJf/ZGW99bvunobGxupr6/3/vvjjz8mIyOD6dOns3z5cgCWL1/OmWeeqWWY3cqT3+/mjV9KuOL4vszMTPSZok9L/xzbjxP7x3Dnx3+wpVRW5xeHl1fayLEPfM2zP+5hXlYSr1+Uzbmyz25AiQwJ4p0Fo6i3Ojlz2VpcbhnvJ7qe3xV+ZWVljB07luHDhzNq1CimTZvG5MmTufHGG/nkk09ITU3l008/5cYbb9Q61G4hr6iWq1dt5vi+0VxzUn+ZZdhMURRenjuCIL2OOS+ulwe4OChVVbn/y+2cuWIrdVYHT84YyqPnZJAh++wGpExzJI+cnc5PBbVc9dYmrcMRAcjvfov379+fn3/efweF2NhYPvvsMw0i6r7qrU5mvbCeSJOBO08bSJ+YUK1D8ilJUSE8fk4G81bk8e/3f+O/ZwzROiThY5wuN/94axNP/7Cbsclh/GdaBicN6IlOJ63mgSznuL58vaOKx7/fxbgBMczMNGsdkgggftfiJ7qGqqpc/uYvbKto5K4pgzgltZfWIfmkC7KSmD4knge/3sGa3bJAq9inwebkzGU/8fQPu7koO4mHJvdhfGovKfoEAM/MHM7guDAuffUXtpU3aB2OCCDtLvweffRR2SWjG1r+UyEvri/i0tHHcP6IJPlldRCKorBk1nAiTQYueHkDNqdsyC6guNbKuMe/Y/XWvfz7lBTum55OQgDscCOOXEiQnvcWjsKtqkxf+pM8O0SXaXfhV1ZWxsiRI5k5cyarV6+WxSm7gd/K6rnizV/JTorkX+NTCDP63YiALtUzzMiy2Zlsq2jinzJmJ+BtKqljzCPfsHVvAw9MT+fmU1OJ7SFr84n9DejZg+VzMvltbwPzV+RpHY4IEO0u/O666y7y8/NZuHAhzz33HKmpqdx0001s3769I+ITXczicDHz+fUYDTr+3+RBsk/oETojvTcXZplZsmYPn/wu618Fqs/+KOeEx77D4nDzzHnDuez4vvSQP5zEIZwzLJF/ju3HK3nFPPndTq3DEQGgQ8b4KYpC79696d27NwaDgerqas4991yuv/76jji96EL/9/YmNpXWc+ekgUwcdOC1EMWBPX7OMHqHG1nwSh71VofW4YgutvynAiY/s4aePYJ5btZw5hxrJtggw6jF4T0wfQgjk6O45p0tbCys0Toc0c21+6n08MMPk5WVxfXXX88JJ5zAr7/+ypNPPsn69et54403OiJG0UVe2VhE7o97mJ+dxLzsZPQyru+ohJsMvDx3BEW1Vha+uv/Mc9E9qarKnR/9zkUr8xhhjmTprOFMS+8t42LFETPodaxaMJIewXrOfm4ddRb5w1F0nnYXflVVVbz55pt89NFHnHfeeQQFBXlOrNPx3nvvtTtA0TW2VzRy6Wu/MCwhnBtOSSEyJEjrkPzSSSk9+cfYvrz2cwmv5hVpHY7oZHanmwWv/MwdH//B6WlxLJ09nJMG9NQ6LOGHEiJMvDovi4IaC+c9v17Gy4tO85cLv6qqKqqqqrjqqqsIDw/3ftzyH0BaWlqHBSo6j83pYtYL6wG4e8pg0uLDNY7Iv/339CGk9Azlijc3UdFg0zoc0UlqLQ6mPbuG534qIGfMMTx17jDSZVFm0Q6npPbi9tMG8vEf5dz9ab7W4Yhu6i+POs7KykJRlAP+VaIoCjt27GhXYKLr3Pj+b6wvrOW+09OYPFjG9bWXKUjPqxdmM/Lhb5j70kY++tsYrUMSHayg2sLUZ9fw294G7jhtIFee2I/oUJm5K9rvllMH8s2OKu78+A/G9ovm5BRZQ1V0rL9c+O3cefDZR9JE7T/e2VTKQ1/vZFZmIgtGH4NBL4PRO8KxSZHccmoKd36cz9Pf7+Jvx/fVOiTRQTYW1jJtyRrqrE4eOSudi0Ymy1aGosPodAqvzsti6P++YvYLG/j52pOIlzUgRQdq92/52267rc3HbrebCy64oL2nFV1gT3UTF63MY3BcGDedkiItFh3sllMHkpkYwfXv/caeqiatwxEd4MPfyhj3+He4VVgycziXjukjRZ/ocNGhwaxaMJJqi4Ozlv0ke4GLDtXuwq+goIBFixYBYLPZOPvss0lNTW13YKJzOVxu5ry4AbvLzaKpgxlmjtQ6pG7HoNfxyrwsbC43c17aIC3hfi73h92csfQnEiNNPDdrODMzEwmSFnLRSbKSo3jwzHR+3FPDte9s1joc0Y20+6m1dOlSfv31VxYtWsQZZ5zB+PHjueOOOzogNNGZbv/od77fVc2/T0lh2pB4rcPptgb2CmPxtMF8v6ua/36xTetwxF/gdqv8+/3f+NvrvzD6mCiWzR7O5LR4FEWWaxGd67Lj+zJzeAKPfLOTN38t1joc0U385cJvw4YNbNiwgY0bN3LVVVfxyiuvkJqayrhx49iwYUNHxig62Me/72Xx59s4K6M3fzuuj7RadLIrx/bnxH4x3PnxH/xWVq91OOIo2Jwu5r60gcWfb+Ocob1ZNns4x/eN1TosESAURWHZ7ExSevZgwcqf2VkpQ0ZE+/3lwSnXXnttm4+jo6PZsmUL1157LYqi8Pnnn7c7ONHxSuusXPjyRvrFhHLzqan0DDNqHVK3p9MpvDR3BEP++wVzXtzA+qvHyeLYfqCqyc7Zy37i6x1V/OOEvtw0IYWEyBCtwxIBJjTYwHuXjGLEA18zfela1l89TnaEEe3ylwu/L774oiPjEF3A5VaZ+9JGaq1OHj07g+zkKK1DChjJ0SE8dk4GF638mZs/3MriabLGpS/bUdnI1GfWsKOqibsmD+IfY/vJouZCMwN7hfHszOHMeXEDl7yax/Pnj9A6JOHH2v1nQ1lZGQsXLmTKlCkAbNmyhSVLlrQ7MNHxFn2Wz+fbKvjXyQM4M6O31uEEnHnZyUxLi+OBr7azdk+11uGIg1i7p5rjHvmWkjobj589lGtPHiBFn9Dc7GPNXHZ8H15YX8SSNbu1Dkf4sXYXfhdddBGTJk2iuNgz8HTgwIE89NBD7T2t6GBfb6/k9o9+Z/KgXlxxQl+MBr3WIQWclvE6EUYDF7y0EZvTpXVI4k9WbSrl5Ce+J0inY+ms4Vw8KhlTkPysCN/w8FkZjDBHcuVbm/mluE7rcISfanfhV1FRwcyZM9HpPKcyGAzo9fKg9CUVDTbOf2kD5kgTt56WSm9ZDFQzvcKMLJmVSX5FI1e9vUnrcEQrj3yzg7Of+4n+MT1YOms45wxLkAXNhU8J0ut4Z+FIjAYdZy/7iQabU+uQhB9q91OtR48eVFZWepc2+PHHH4mMlDXhfIWqqly0Mo+9DTYWTU3juD4xWocU8M7M6M0FWWae+XEPn/5RrnU4Ac/tVrlm1Wauensz4/rFsmz2cE4bHCfLtQifZI4MYcUFI9hZ1cTsF9bL+qDiqLW78HvggQeYPn0627dv54QTTmDevHk8+uijHRGb6AAPfr2D93/by/+d2J9zhiXILzMf8fg5Q+kdbmTBK3k0WB1ahxOwLA4X5z2/jge/3sHszESWzBrOyGOitQ5LiEOaNDiOm09N5f3f9vLfz2V9UHF02l34jRgxgq+++orvv/+ep59+ms2bNzNs2LCOiO2orV69mkGDBpGSksLixYs1icGXrN1TzQ3v/cb4AbFcdWI/QmSsks+IMAXx0twRFNZYueS1X7QOJyCVN9g45ckfeOvXUq4Z15+Hz8pgQM8eWoclxBG5c9IgTh4Qy60f/c43Oyq1Dkf4kXYXfk1NTSxevJiHHnqIjIwMdu3axXvvvdcRsR0Vl8vFFVdcwYcffsiWLVtYsWIFW7Zs6fI4fEWNxcHsFzbQq0cwt05MxRwl64/5mpNTenLFCX15Ja+YN36RVfm70h/lDRz3yLdsLKzl3tPTuGPSIOLCZU1L4T90OoXX52cTGxrMrOfXU9Fg0zok4SfaXfhdfPHFBAcH88MPPwBgNpu55ZZb2h3Y0Vq7di0pKSn079+f4OBgZs+ezapVq7o8Dl+gqiqXvvoze2os3DN1MCen9NQ6JHEQ/ztjCANiQ7ns9V+plAd3l/huZxXHPfItlU12njp3KFee2I9w019e0lQIzcT2CGbVxSMpb7Rz1rKfcLtlvJ84vHY/7bZv384rr7zCihUrAAgNDdVksGlRURHJycnej5OSklizZs1+r8vNzSU3NxeA0tJS7zI0naW8vOsH7y/PK+f1X0q49NienBivUFJS0uUxdAUt7m1neGzKMZz+0lZmLvuBF2YM1DqcbnNfD+Sd36u46sNd9Ao1sOiUJMab9VTuLeuSa3fn+6qlQL+vSUFw6zgzt39ZyD9fWcvNJyUf/k1HINDva2fS+t62u/ALDg7GYrF4Jw1s374do9F3u0xycnLIyckBIDs7m8TExE6/Zldco8XPxbXc+dVGju8Tzc1Th9MnJrTLrq2Frry3nSUxEW4qdfH/Ps3ngz0OLhnTR+uQusV9bU1VVf73xXZueH8nwxMjuP+MIZyS2rPLJzt1t/vqKwL9vt6akEBepZOn1pcyeVgfzkjvmAX6A/2+diYt7227u3rvvPNOJk+eTEFBAXPnzmXChAn897//7YjYjorZbKagoMD7cWFhIWazucvj0FKDzcnM59cTbjRw56SB3b7o605uO20gwxMiuO7dLRRUy0bsHcnpcnPFm79yw/u/MTG1J8/NHs6Egb1khrvoNhRF4fk5x9I3JpT5K/LYI88QcQjtLvyWL1/OtGnTuO222zj//PNZt24dJ598cgeEdnRGjhxJfn4+O3fuxG63s3LlSqZPn97lcWjpijd/ZVtFI3dNHsQpqb20DkccBYNexyvzsrA63Mx5cYOszdVBGmxOzlr2E09+v5t5WUk8M3M4meYorcMSosOFGQ28t3AUVqeL6Ut/wuFyax2S8FHtLvwWLlyI1WrlnXfe4Z///Cd/+9vfePjhhzsitqNiMBh47LHHmDRpEmlpacycOZP09PQuj0Mry38q4Pl1hSwcdQznj0hCp5PWDH8zKC6MRdMG892uau77crvW4fi9kjorJz3xPR9u3cuN4wdw//Qh0gouurW0+HByzx3Oz8V1/P11WSZKHFi7x/iNHz+ecePG8dNPP/HFF1/w1FNPsXnzZq666qqOiO+oTJ06lalTp3b5dbX2W1k9l7/xK1lJkVw/PkVmKPqxq07szxu/lHLHR39wxpDeDI4P0zokv7S5tJ6pz6yhvNHGA9PTWTj6GMKM8nMhur8LspP4akclz67Zw7j+McwfeYzWIQkf0+4WvwkTJnDCCSfwyiuvMGjQIH766Se2bt3aEbGJI2BxuJj1wnqCDQp3TR5ESi9ZgNaf6XQKKy4YgaLA+S+txyXLMxy1L7ZVcMKj39Jod5J77jAuO76vFH0ioDx+zlCGJ0ZwxZub2FJar3U4wse0u/AbNmwYwcHBbNq0iV9++YVNmzZhsVg6IjZxBK5etZlfS+r5z6RBTBwUp3U4ogMkR4fwyNkZbCyq49bV8kfU0XhhXQGTcn8kNjSY52Zncv6IJIIN7X7MCeFXgg063lkwEoNO4cxla2myO7UOSfiQdj8RH3zwQb7++mvefPNNYmNjufjii4mKiuqA0MThvJpXzNM/eAatz8tORi/j+rqNi0cmM2VwHPd9uZ11BTVah+PzVFXl/33yB/NW5DE8IYIlM4dzenpvGesqAtYx0aG8fMEItlc0cb5MGBOttLvwe+yxx5g1axbHHnssq1atYsGCBXz44YcdEZs4hB2VjVz62s8M7R3OjRNSiAwJ0jok0YEURWH5nEzCjQbmvrQBu1Nm6B2Mw+Xmkld/5rbVvzM1LY5lczI5OVV2qxFialo8N5wygFWby3jwqx1ahyN8RLsHvlitVq655hqysrIwGGQcTVewO93MemE9qgp3TxlMWny41iGJTtArzMiz5w3nnOXruGrVJp6cMUzrkHxOndXBucvX8ckfFVw6+hhuOy2VpCiZuStEi7umpPHdrmr+/cFvHN83mjF9Y7QOSWis3S1+1113HaNHj5airwvd+P5vrCuo5baJqUxJk3F93dnZwxI4/1gzuT/s5vN82UKptcIaC2Mf+44vtlVy68RU7j09TYo+If5Er1N4Y3420SFBnPv8eqqb7FqHJDQmo579zLubS3nw6x3MHJ7AgtHHYNDLl7C7e/LcocSHG7l45c80WB1ah+MT8opqGf3wN+yobOKhM9O58ZQUokODtQ5LCJ/UK8zIG/NHUlpv46xlP+GW1QICmlQNfqSg2sJFK/MY1KsHN01IIUZ+0QWECFMQL51/LHtqLOTIoqx8tHUvJz72HS63ypKZw8k5rg+hwdLjIMShnNA/hsVTB/P1jipZLSDASeHnJ5wuN3NeXI/V4WbR1DSGy7ZTAWV8ai+uOKEPKzYW89avJVqHo5lnf9zNtCVrSYwwsWx2JucNTyRIWr2FOCLXnjyAM9LjWfz5Nlb/VqZ1OEIj8sT0E3d8/Aff7armpgkpTBsSr3U4QgP/OyOd/rGh/P31X6hssGkdTpdSVZVbPtzKpa/9wujkKJbNGc6UtHhZrkWIo6AoCi+dP4JjokK44OWNFNXImruBSAo/P/DpH+Xc81k+09Pj+dtxfWRB2gAVEqTnlQuzqGy0M29FntbhdBmb08UFL23k7k/zOSujN0tmDef4vrFahyWEXwo3GXh34Sga7S6mL12L0yVLRQUaqSB8XGmdlQte2ki/6FBunpBKzzCj1iEJDWUnR3HDKSl8sHUvS9fs1jqcTlfdZGdS7hpe3ljE5cf34YlzMhgsyxcJ0S4ZCRE8MWMoG4rquOLNX7UOR3QxKfx8mMutcsHLG6mxOlg0bTCj+kRrHZLwAXdMGsTQ3uFc886Wbt1Vs7OyieMf/Y7vd1Vx1+RB3D01jYTIEK3DEqJbuHjUMVyUnUTuj3t4eUOR1uGILiSFnw9b/Hk+n+VX8K+TB3BmRm+twxE+Ikiv45V5WVgdbuZ0062YftpTw5hHvqGo1spjZ2dwzckDiJLdaYToUE+eO4z0+DD+9trP/LG3QetwRBeRws9HfbOjkttW/86kQb244oS+GA16rUMSPiQtPpy7pgzim51VPNDNtmJ6Z1MpJz/xPQadwtJZw1kw6hhCguT7X4iOZgrS894lo9EpCtOXrsXqcGkdkugCUvj5oMpGO+e/uIHECBO3nJpK7wiT1iEJH3TNSQM4rk80t63+nd+7yV/rj3+7k7Of+4m+MSEsm5XJjGEJski5EJ2ob0woL5yfye/ljVzw8katwxFdQJ6oPkZVVS5amUdZg43F09I4oZ/sqygOTKdTWHnhCBQFzn9xvV+vxu92q1z3zmb+8dYmTugXw7JZmZw2OA5FkeVahOhs0zMSuPak/rzxSwmPftO9ehDE/qTw8zEPfb2D97aUcdWJ/ThnWIL84hOHdEx0KA+flcGGojpu/+h3rcP5SywOF7NeWM/9X3m2Ilw2K1MmMgnRxe49fQjH9YnmX+/+xrqCaq3DEZ1ICj8f8tOeGm54/zdOHhDL/53YX8Y1iSOyYFQykwf34r9fbGNDYY3W4RyV8gYbE578gTd+KeH/xvXjkbMyGNCzh9ZhCRFw9DqFty4eSbjJwDnPraPW6tQ6JNFJpPDzEbUWB7NeWE9saDC3TkzFHCXLVogjoygKy2cfS49gA+e/uAG70z8WZM0vb+D4R79lQ2Eti6elceekQcTLeFYhNBMfbuSN+dkU11r527vbccjizt2SXxV+d9xxB2azmczMTDIzM/nggw+8n1u0aBEpKSkMGjSIjz76SMMoj56qqlz62s/sqW7i7imDGZ/SU+uQhJ+JCzfyzHnD+L28kWtWbdI6nMP6fmcVxz3yLRWNdp6cMZQrT+xHhEmWaxFCa+MGxHLXlMF8s6eBfnd/xjM/7pYCsJvxq8IP4OqrryYvL4+8vDymTp0KwJYtW1i5ciWbN29m9erVXH755bhc/jMtPffH3bz2cwmXHd+XWZmJMq5P/CUzhicyOzORp37YzRfbKrQO56Be/7mYU576gdBgPctmZTJvZDImGdYghM+44ZQUnprWl0iTgZzXfqG/FIDdit8VfgeyatUqZs+ejdFopF+/fqSkpLB27VqtwzoivxTXcdXbmzmuTzTXntyfHkaD1iEJP/bUucPoFWbkopV5NNp8a4yOqqrc/+V2Zr6wnkG9wlg2K5MzM3qj18kfOkL4EkVROGNwLJv+dTLPz8kkolUB+KwUgH7P7wq/xx57jGHDhrFgwQKqqz0zj4qKikhOTva+JikpiaIi39+CpsHmZNYL6wkL1nPnpIH0jZFB7aJ9IkOCePH8Y9lTbSHn9V+0DsfL5Vb551ubuO7dLZyS0pNls4YzYWAvad0WwocpisKF2cltCsBLpQD0ez7XvHTqqadSWlq63/G7776byy67jFtvvRVFUbj11lu59tprWbp06VGdPzc3l9zcXABKS0spLi7ukLgPpry8/KCf+7/Vu/h9bwP/OzWJIWGOTo+luznUvQ1kaWEwb3hPnt9QxGnJRiamHN3SKB19X5scLi5/byef7KjlvLRorh8bR299E8XFTR16HV8n36+dQ+5r5/jzfZ2QqOeUuQN567dKHl1TyqWv/cJtH/7GNcclcF56T4L08kfckdL6e9bnCr9PP/30iF536aWXcvrppwNgNpspKCjwfq6wsBCz2XzA9+Xk5JCTkwNAdnY2iYmJ7Yz48A50jefXFfDa5kouHX0MOePTCTf53JfCL3TF188fPTUnnm8LvuSGzwo5IyuVmB7BR/X+jrqvpXVW5ixdy4bCWm4YP4DrTh5AzzBjh5zbH8n3a+eQ+9o5DnRf/2E2c8WEobywrpB7v9jGvz7Zw8Nr93L7aQOZPzKZINlp54ho+T3rV1+hkpIS77/feustMjIyAJg+fTorV67EZrOxc+dO8vPzGTVqlFZhHtbWsnouf+NXRpgjuX58ihR9osOFBOlZeWEWFY125q3QZhum38rqGfPIt2wqqee+M4Zwy8SBAV30CdFdKIrCvJGeLuDls1t1Ad/zGUvWSBewr/Orwu/6669n6NChDBs2jC+++IIHH3wQgPT0dGbOnMmQIUOYPHkyjz/+OHq9b84S9OxSsIEgvcJdUwaR0kvG9YnOMfKYKK4fn8L7v+3lubV7uvTaX26r4PhHv6XB5iT3vGFccUI/wmTikhDdyn4FoNHAJa9KAejrFFVV/XeDz3bKzs5m3bp1nXqN4uLiNk26l7/xC09+v5uHzkznH2P7yYzGdvjzvRX7c7jcjHjgawprLWz+13gSIw+/QHJ77+tL6wu5+JU8kiJNPHxmBtOGxKOT73P5fu0kcl87x1+5r6qqeruAt5Q1kBRl4o7TBjIvW7qAW+uK79lD1TfylehCr/1czJPf7+bCrCTmj0yWok90uiC9jlcuzKLJ7mL2i+vpzL/zVFXl7k//4IKXNzIsIYIlM4dzRkZvKfqECBCtWwCfmz2c8GBpAfRFUvh1kR2VjVzy6s9k9A7nxlMGEBUiuxSIrjGkdzj/b/JgvtlRxUNf7+iUazhcbnJe+4VbPvydKYN7sWxWJuNTe3XKtYQQvk1RFOaPPIbN17ctAAfc8xlL1+yRAlBjUvh1AbvTzewXNuB2q9wzZTBDekdoHZIIMNedPIAxx0Rx6+rfyS9v6NBz11kdnLFkLc+u2cPCUcnknjeMoYnyPS5EoGtdAC6bNZywYAMLX/1ZCkCNSeHXBf79wW/8VFDDbacNZEpanNbhiACk0ymsuDALwPtHSEcorLFw4mPf8+kf5dxyair/PWMISVGhHXJuIUT3oCgKF42SAtBXSOHXyT7ZXsMDX+3gvOEJLBx9DAYZ4Co00jcmlIfOTGdDUS13fvx7u8/3S3EdYx75lu2VjTx8VgY3npJCTOjRrRcohAgcrQvApbOG00MKQE1IFdKJCmss/N/qXQzs1YObJsgvRaG9haOP4bRBvVj8+TY2Ftb85fN8/Ptexj72HQ6Xm2fOG0bOcX1kn2khxBFRFIWLRx3Dlj8VgCn3fM6ytXtwSgHYqaTw60T5FY0E6xQWTR1MpjlK63CEQFEUnp9zLKHBeua+tPEv/YW9dM0epj27lt7hRpbNymRWplmWahBCHLU/F4ChwXoWvPIzA6QA7FTytO5E41N68uOlGZwzTNaYEr4jPtzIs+cN57e9DVz7zuYjfp+qqtz64VYWvvoz2UmRLJ01nKmyRp8Qop2kAOxaUvh1MqPBN3cQEYFtxvBEZg5P4InvdvH19orDvt7udDNvxUbu+jSf6enxLJ2dydj+sV0QqRAiULQuAJfMHE5IkE4KwE4ghZ8QAerp84bTs0cw81bk0WR3HvR11U12JuX+yIvri/j7cX14csZQ0uLDuzBSIUQgURSFBaOP4bcbxu9XAD4nBWC7SeEnRICKCgni+TnHsrvawt9e/+WAr9lV1cQJj33Htzur+M+kQSyalkZiZEgXRyqECEQHKgAvlgKw3aTwEyKAnTY4jpwxx/Di+iLe2VTa5nPrC2oY8/C3FNZYeezsDK4bLzvOCCG6XusC8NmZwzBJAdguUvgJEeAePDOdvtEh5Lz+CzVNdgDe21LGuMe/R6fAkpnDWDj6GEKCZLyqEEI7iqKwcHQftkoB2C5S+AkR4EKDDay8cAQVDTbmrchjeV45Zy5dS5/oEJbNzuTc4Ymy8LgQwme0KQDP21cApiz6nOU/FUgBeBjyNBdCMLpPDNedPIB3t5Rx02d7OKFvDMtmZzJpcByKIsu1CCF8j6IoLByzrwA0GnRctDJPCsDDkMJPCAHA/5symAkpPTk3LZols4Yzuk+01iEJIcRhtS4An5EC8LCk8BNCABCk1/HpZcdx36R+pPYK0zocIYQ4KoqicEnrAlAvBeCBSOEnhGgjSC9du0II/9VSAP72pwIwdfHnPL9OCkAp/IQQQgjR7eh0bQvAYJ2O+SukAJTCTwghhBDdVusCMPdcKQCl8BNCCCFEt6fTKVx63L4CMChAC0CfK/xee+010tPT0el0rFu3rs3nFi1aREpKCoMGDeKjjz7yHl+9ejWDBg0iJSWFxYsXd3XIQgghhPATLQXg1hvG8/S5Q70F4MDFX/BCABSAPlf4ZWRk8OabbzJu3Lg2x7ds2cLKlSvZvHkzq1ev5vLLL8flcuFyubjiiiv48MMP2bJlCytWrGDLli0aRS+EEEIIf6DTKeQc19dbABp0CvMCoAD0ucIvLS2NQYMG7Xd81apVzJ49G6PRSL9+/UhJSWHt2rWsXbuWlJQU+vfvT3BwMLNnz2bVqlUaRC6EEEIIf9O6AHwqAApAg9YBHKmioiLGjBnj/TgpKYmioiIAkpOT2xxfs2bNQc+Tm5tLbm4uAKWlpRQXF3dSxB7l5eWdev5AJve2c8h97RxyXzuH3NfOEaj39Yw+wUybN4iVv5bz5E9lzFuRxy0fbOHa4xI4Oy0Wva79y11pfW81KfxOPfVUSktL9zt+9913c+aZZ3bqtXNycsjJyQEgOzubxMTETr0e0CXXCFRybzuH3NfOIfe1c8h97RyBfF+vM5u55jSVZ9bs5v4vd3DV6t08tLac/0weyJxjk9pdAGp5bzUp/D799NOjfo/ZbKagoMD7cWFhIWazGeCgx4UQQggh/gqdTuFvx/Xl0tF9eGbNbu77cjsXvpzHbav/6LACUAs+N8bvYKZPn87KlSux2Wzs3LmT/Px8Ro0axciRI8nPz2fnzp3Y7XZWrlzJ9OnTtQ5XCCGEEN1ASwH4+w2n8OSMoeh1cOHLeQxc9Dkvri/A5Va1DvGo+Fzh99Zbb5GUlMQPP/zAtGnTmDRpEgDp6enMnDmTIUOGMHnyZB5//HH0ej0Gg4HHHnuMSZMmkZaWxsyZM0lPT9c4CyGEEEJ0Jzqdwt+P31cA6vy0AFRUVfWPSDtBdnb2fmsFdrTi4uKAHifRmeTedg65r51D7mvnkPvaOeS+Hp7brZL7o6cLeHtlE/1jQvnP5EHMPtZ8yC7grri3h6pvfK7FTwghhBDC17W0AP5x4yk8MSMDRYELXt7IwEWf89L6/8/efYdHVaYNHP5Nem+QnpAAoaQ3eu8gIqhIs4ACshYsWD9Xd8Vde2+sLi4CVlQsKCqCFOmEFkInQAKpkIR0Umfe74+YkUCAhMxkJslzX5eXZObMOc95c3LmOW9NN9saQEn8hBBCCCGukYWFhnv7dWwxCaAkfkIIIYQQTVQnAbzZfBNASfyEEEIIIQzEwkLDvf0vTQC7vbyOL/aYPgGUxE8IIYQQwsAuTAAX3ByBAm77fC8LEi5dwKI5tZgl24QQQgghWhoLCw339e/IPX2D+XBbKpEupl37V2r8hBBCCCGMrDYB7NzO3rRxmPToQgghhBCi2UjiJ4QQQgjRRkjiJ4QQQgjRRkjiJ4QQQgjRRkjiJ4QQQgjRRmiUUuYxlbQJtG/fnuDgYKMeIycnB09PT6Meo62SsjUOKVfjkHI1DilX45ByNZ7mKNvU1FRyc3Prfa9NJ37NoUePHuzatcvUYbRKUrbGIeVqHFKuxiHlahxSrsZj6rKVpl4hhBBCiDZCEj8hhBBCiDZCEj8jmzNnjqlDaLWkbI1DytU4pFyNQ8rVOKRcjcfUZSt9/IQQQggh2gip8RNCCCGEaCMk8RNCCCGEaCMk8buCF154gfDwcKKiooiJiWHHjh1N3uf8+fN5/fXXDRBdy6TRaLj99tv1P1dXV+Pp6cm4ceMMsv+2Vr55eXnExMQQExODj48P/v7++p8rKysNdpwNGzYY7HdkDubNm8fbb7+t/3n06NHMnj1b//Ojjz7Km2++edX9pKamEhERYYwQ9ZycnIy6/+ZwuevUzc2NsLAwox9/yZIlzJ071+jHMUeWlpb6so+JiSE1NfWSbcaOHUtBQcElr7e1+2l9GpMHLFmyhMzMzCYfMzg4+LJz8BmCldH23MJt27aNlStXsmfPHmxtbcnNzTXoF2lb5ejoyIEDBygrK8Pe3p41a9bg7+9v6rBarHbt2pGYmAjU3KSdnJx47LHHTBtUC9C/f3++/vprHn74YXQ6Hbm5uRQVFenf37p1K2+99ZYJI2xdLnedpqamNumBorq6Gisr+Rq7Ent7e33ZX0wphVKKX375pXmDaiEamwcsWbKEiIgI/Pz8GnwMU1zDUuN3GVlZWbRv3x5bW1ugZpUPPz+/Opn4rl27GDJkCFBzM5s5cyZDhgyhU6dOvPvuu/p9vfDCC3Tt2pUBAwZw9OhR/esfffQRPXv2JDo6mokTJ3L+/HmKi4vp2LEjVVVVABQVFdX5uTUYO3YsP//8MwBffvkl06ZN07937tw5brzxRqKioujTpw9JSUmAlG9j3HnnnSxfvlz/84U1Rq+99ho9e/YkKiqKZ599FoDS0lKuv/56oqOjiYiI4KuvvgJg1apVdO/enbi4OL777jv9PhISEujbty+xsbH069dPX+aDBg2q8wUzYMAA9u3bZ8xTvWb9+vVj27ZtABw8eJCIiAicnZ3Jz8+noqKCw4cPo9FoGDx4MPHx8YwePZqsrCwAdu/eTXR0NNHR0SxYsEC/zyVLlnDzzTczZswYunTpwhNPPKF/b/Xq1fTt25e4uDgmTZpESUkJAP/3f/9HWFgYUVFR+oQ9JSWFvn37EhkZyTPPPKPfR0lJCcOHDycuLo7IyEhWrFgBwD//+c86tZdPP/0077zzjnEKzgi0Wi1333034eHhjBo1irKyMgCGDBmin+Q2NzdXv8rSkiVLGD9+PMOGDWP48OFkZWUxaNAgYmJiiIiIYNOmTQAsXryYrl270qtXL7Zs2aI/3k8//UTv3r2JjY1lxIgRnDlzBp1OR5cuXcjJyQFAp9MREhKi/7k1SU1NpVu3bkyfPp2IiAjS0tLqfK/J/fQvl8sD/vWvf9GzZ08iIiKYM2cOSimWL1/Orl27uO2224iJiaGsrOyK+cIdd9xB//79ueOOO8jLy2PUqFGEh4cze/ZsLhxze+ONNxIfH094eDgLFy4E4OOPP+bhhx/Wb/PRRx8xb968hp+YEvUqLi5W0dHRqkuXLuree+9VGzZsUEopFRQUpHJycpRSSu3cuVMNHjxYKaXUs88+q/r27avKy8tVTk6O8vDwUJWVlWrXrl0qIiJClZaWqsLCQtW5c2f12muvKaWUys3N1R/v6aefVu+++65SSqk777xTff/990oppf773/+qRx55pJnO2vgcHR3Vvn371MSJE1VZWZmKjo5W69evV9dff71SSqm5c+eq+fPnK6WUWrt2rYqOjlZKSfk2xLPPPqtee+01NWPGDPXNN9/oX3d0dFRKKfXbb7+pu+++W+l0OqXVatX111+v/vjjD7V8+XI1e/Zs/fYFBQWqrKxMBQQEqGPHjimdTqcmTZqk/x0VFhaqqqoqpZRSa9asUTfffLNSSqklS5aohx56SCml1NGjR1V8fHxznPY1Cw4OVqdOnVIffvih+uCDD9Qzzzyjfv75Z7V582bVp08f1bdvX3X27FmllFLLli1Td911l1JKqcjISPXHH38opZR67LHHVHh4uFJKqcWLF6uOHTvqy69Dhw7q9OnTKicnRw0cOFCVlJQopZR6+eWX1XPPPadyc3NV165dlU6nU0oplZ+fr5RS6oYbblBLly5VSin1/vvv639/VVVVqrCwUCmlVE5OjurcubPS6XQqJSVFxcbGKqWU0mq1qlOnTnWufXNTe50qpVRKSoqytLRUe/fuVUopNWnSJPXpp58qpZQaPHiw2rlzp1Kq5nyDgoKUUjXl7O/vr/Ly8pRSSr3++uvq+eefV0opVV1drYqKilRmZqYKDAxUZ8+eVRUVFapfv37q/vvvV0opde7cOX2Zf/TRR/q///nz56u33npLKVXzt1J7Xbd0FhYWKjo6WkVHR6sbb7xRpaSkKI1Go7Zt26bfpvZ7Te6ndV0uD6i99pRS6vbbb1c//vijUqruNavUlfOFuLg4df78eaWUUg888IB67rnnlFJKrVy5UgH6z9Ue6/z58yo8PFzl5uaq4uJi1alTJ1VZWamUUqpv374qKSmpweclNX6X4eTkxO7du1m4cCGenp5MmTKFJUuWXPEz119/Pba2trRv3x4vLy/OnDnDpk2buOmmm3BwcMDFxYXx48frtz9w4AADBw4kMjKSzz//nIMHDwIwe/ZsFi9eDNQ8td51111GO09TiIqKIjU1lS+//JKxY8fWeW/z5s3ccccdAAwbNoy8vDx9E5yUb9OsXr2a1atXExsbS1xcHEeOHCE5OZnIyEjWrFnDk08+yaZNm3B1deXIkSN07NiRLl26XNIvs7CwkEmTJhEREcG8efP05Tpp0iRWrlxJVVUVH3/8MXfeeaeJzrRh+vXrx9atW9m6dSt9+/alb9+++p/9/f05cOAAI0eOJCYmhueff5709HQKCgooKChg0KBBAPprtdbw4cNxdXXFzs6OsLAwTp06xfbt2zl06BD9+/cnJiaGpUuXcurUKf12s2bN4rvvvsPBwQGALVu26GvBL9y/Uoq///3vREVFMWLECDIyMjhz5gzBwcG0a9eOvXv36n+/7dq1a6ZSbLqOHTsSExMDQHx8fL190C42cuRIPDw8AOjZsyeLFy9m/vz57N+/H2dnZ3bs2MGQIUPw9PTExsaGKVOm6D+bnp7O6NGjiYyM5LXXXtNfvzNnzuSTTz4BampUWst9obapNzExke+//x6AoKAg+vTpc8m2cj+t63J5wPr16+nduzeRkZGsW7dOXxaNMX78eOzt7QHYuHGj/h57/fXX4+7urt/u3XffJTo6mj59+pCWlkZycjJOTk4MGzaMlStXcuTIEaqqqoiMjGzwsaVzxBVYWloyZMgQhgwZQmRkJEuXLsXKygqdTgdAeXl5ne1rq4NrP1tdXX3F/d9555388MMPREdHs2TJEjZs2ADU9D9KTU1lw4YNaLVao3ceN4Xx48fz2GOPsWHDBvLy8hr0GSnfhrnwGtXpdPo+KUopnnrqKf72t79d8pk9e/bwyy+/8MwzzzB8+PA6N/yL/eMf/2Do0KF8//33pKam6psvHBwcGDlyJCtWrODrr79m9+7dhj85A+rfvz9bt25l//79REREEBgYyBtvvIGLiwtDhgwhIyND3xxcq74O8Beq7xpVSjFy5Ei+/PLLS7ZPSEhg7dq1LF++nPfff59169YBNYOgLvb555+Tk5PD7t27sba2Jjg4WH8Pmj17NkuWLCE7O5uZM2c2tihM6uIyq23qvdK91tHRUf/vQYMGsXHjRn7++WfuvPNOHnnkEVxcXC57vAceeIBHHnmE8ePHs2HDBubPnw9AYGAg3t7erFu3joSEBD7//HNDnaLZubD8Gqqt3k8vzgP++9//kpSUxK5duwgMDGT+/PmXXJ+1GnoNX86GDRv4/fff2bZtGw4ODgwZMqTO3/yLL75I9+7dG51sS43fZRw9epTk5GT9z4mJiQQFBREcHKz/Qvv222+vup9Bgwbxww8/UFZWRnFxMT/99JP+veLiYnx9famqqrrkJjN9+nRuvfXWVvX0dKGZM2fy7LPPXvKUMnDgQH1ZbNiwgfbt21/xJi7le6kLr9Eff/xR399m9OjRfPzxx/r+ZRkZGZw9e5bMzEwcHBy4/fbbefzxx9mzZw/du3cnNTWVEydOANRJWgoLC/UDci6uBZ89ezYPPvggPXv2rPPUao769evHypUr8fDwwNLSEg8PDwoKCti2bRvTpk0jJydHn/hVVVVx8OBB3NzccHNzY/PmzQANSg769OnDli1bOH78OFDTp/LYsWOUlJRQWFjI2LFjeeutt/T9Ifv378+yZcsu2X9hYSFeXl5YW1uzfv16Tp06pX/vpptuYtWqVezcuZPRo0cbpoBM7MLr+MI+qxc7deoU3t7e3H333cyePZs9e/bQu3dv/vjjD/Ly8qiqquKbb77Rb3/h9bt06dI6+5o9eza33347kyZNwtLS0ghnZd7kflpXfXlAt27dgJr+fiUlJXWuTWdnZ4qLi/U/NzRfGDRoEF988QUAv/76K/n5+UDNteru7o6DgwNHjhxh+/bt+s/07t2btLQ0vvjiizr95BtCavwuo6SkhAceeICCggKsrKwICQlh4cKFHD58mFmzZvGPf/xDX9NxJXFxcUyZMoXo6Gi8vLzo2bOn/r1///vf9O7dG09PT3r37l3ngrntttt45plnGv0LbSkCAgJ48MEHL3m9dhBHVFQUDg4Ol9yYLyble6m7776bCRMmEB0dzZgxY/RPlqNGjeLw4cP07dsXqGnG+Oyzzzh+/DiPP/44FhYWWFtb88EHH2BnZ8fChQu5/vrrcXBwYODAgfrye+KJJ5gxYwbPP/88119/fZ1jx8fH4+Li0iK+ACIjI8nNzeXWW2+t81pJSQleXl4sX76cBx98kMLCQqqrq3n44YcJDw9n8eLFzJw5E41Gw6hRo656HE9PT5YsWcK0adOoqKgA4Pnnn8fZ2ZkJEyZQXl6OUko/fcw777zDrbfeyiuvvMKECRP0+7ntttu44YYbiIyMpEePHnTv3l3/no2NDUOHDsXNza3VJCyPPfYYkydP1l+Hl7NhwwZee+01rK2tcXJy4pNPPsHX15f58+fTt29f3Nzc9E3JUHOPmTRpEu7u7gwbNoyUlBT9e+PHj+euu+5qEdevMcj9tK7L5QFubm5ERETg4+NTp4zuvPNO7rnnHuzt7dm2bRvPPvtsg/KFZ599lmnTphEeHk6/fv3o0KEDAGPGjOHDDz8kNDSUbt26XdI8P3nyZBITExv9kC1Ltpmp5cuXs2LFCj799FNTh9IqSfkaR2ZmJkOGDOHIkSNYWEiDQnPR6XTExcXxzTff0KVLF1OH02Lt2rWLefPm6UcGi4aR+6lpjBs3jnnz5jF8+PBGfU5q/MzQAw88wK+//ipzKxmJlK9xfPLJJzz99NO8+eabkvQ1o0OHDjFu3DhuuukmSfqa4OWXX+aDDz5o1X37jEHup82voKCAXr16ER0d3eikD6TGTwghhBCizZDHciGEEEKINkISPyGEEEKINkISPyGEEEKINkISPyFEm2JpaUlMTAzh4eFER0fzxhtv6CdZNZbHH3+c8PBwHn/8caMeJzU1tdVNoCuEMCwZ1SuEaFNql7ACOHv2LLfeeitFRUU899xzRjvmwoULOXfuXKuZY08I0XJJjZ8Qos3y8vJi4cKFvP/++yilSE1NZeDAgcTFxREXF8fWrVuBmpUJfvjhB/3nbrvtNlasWFFnX0opHn/8cSIiIoiMjOSrr74CaiYFLikpIT4+Xv9arcjISAoKClBK0a5dO/1asdOnT2fNmjVotVoef/xxevbsSVRUFP/973/1n33ttdf0rz/77LOXnNvJkyeJjY1l586dBikrIUTrIDV+Qog2rVOnTmi1Ws6ePYuXlxdr1qzBzs6O5ORkpk2bxq5du5g1axZvvfUWN954I4WFhWzduvWSVWW+++47EhMT2bdvH7m5ufTs2ZNBgwbx448/4uTkpK9lvFD//v3ZsmULQUFBdOrUiU2bNjF9+nS2bdvGBx98wKJFi3B1dWXnzp1UVFTQv39/Ro0aRXJyMsnJySQkJKCUYvz48WzcuFE/4//Ro0eZOnUqS5YsITo6ujmKUQjRQkjiJ4QQf6qqqmLu3LkkJiZiaWnJsWPHABg8eDD33XcfOTk5fPvtt0ycOBErq7q3z82bNzNt2jQsLS3x9vZm8ODB7Ny5k/Hjx1/2eAMHDmTjxo0EBQVx7733snDhQjIyMnB3d8fR0ZHVq1eTlJSkXw+0sLCQ5ORkVq9ezerVq4mNjQVqlpZKTk6mQ4cO5OTkMGHCBL777jvCwsKMVFJCiJZKEj8hRJt28uRJLC0t8fLy4rnnnsPb25t9+/ah0+mws7PTbzd9+nQ+++wzli1bxuLFiw1y7EGDBrFgwQJOnz7NCy+8wPfff8/y5csZOHAgUNN8/N577zF69Og6n/vtt9946qmn+Nvf/lbn9dTUVFxdXenQoQObN2+WxE8IcQnp4yeEaLNycnK45557mDt3LhqNhsLCQnx9fbGwsODTTz9Fq9Xqt73zzjt5++23AepNqAYOHMhXX32FVqslJyeHjRs30qtXrysePzAwkNzcXJKTk+nUqRMDBgzg9ddfZ9CgQQCMHj2aDz74gKqqKgCOHTtGaWkpo0eP5uOPP6akpASAjIwMzp49C4CNjQ3ff/89n3zyCV988UWTy0gI0bpIjZ8Qok0pKysjJiaGqqoqrKysuOOOO3jkkUcAuO+++5g4cSKffPIJY8aMwdHRUf85b29vQkNDufHGG+vd70033cS2bduIjo5Go9Hw6quv4uPjc9V4evfurU8wBw4cyFNPPcWAAQMAmD17NqmpqcTFxaGUwtPTkx9++IFRo0Zx+PBh+vbtC4CTkxOfffaZftSwo6MjK1euZOTIkTg5OV2xuVkI0bbIWr1CCNEA58+fJzIykj179uDq6mrqcIQQ4ppIU68QQlzF77//TmhoKA888IAkfUKIFk1q/IQQQggh2gip8RNCCCGEaCMk8RNCCCGEaCMk8RNCCCGEaCMk8RNCCCGEaCMk8RNCCCGEaCMk8RNCCCGEaCMk8RNCCCGEaCMk8RNCCCGEaCMk8RNCCCGEaCOsTB2AKbVv357g4GCjHqOqqgpra2ujHqMtkfI0Hilb45GyNS4pX+OQcjUeY5dtamoqubm59b7XphO/4OBgdu3aZdRjZGZm4ufnZ9RjtCVSnsYjZWs8UrbGJeVrHFKuxmPssu3Ro8dl35OmXiGEEEKINkISPyGEEEKINkISPyGEEEKINkISPyGEEEKINkISPyGEEEKINsKsEz+tVktsbCzjxo0DICUlhd69exMSEsKUKVOorKwEoKKigilTphASEkLv3r1JTU01YdQtz6HsYmYuSyTi1fWEv7qef/12lHPnK00dlhBCCCEMzKwTv3feeYfQ0FD9z08++STz5s3j+PHjuLu7s2jRIgAWLVqEu7s7x48fZ968eTz55JOmCrnF+Wj7KaLe+IMv9mbQ3tEWB2tLnl19jOjX/+BkbqmpwxNCCCGEAZlt4peens7PP//M7NmzAVBKsW7dOm655RYAZsyYwQ8//ADAihUrmDFjBgC33HILa9euRSllkrhbktfWH2fON0n07uDGz7N68dvferNz3iBW3d2bovJq+r63meyiclOHKYQQQggDMdsJnB9++GFeffVViouLAcjLy8PNzQ0rq5qQAwICyMjIACAjI4PAwEAArKyscHV1JS8vj/bt21+y34ULF7Jw4UIAsrOzyczMNOp55OTkGHX/1+q34wU8ufIEQ4KceXGYD0FOVeSdPQNApAssuyWECV8eZdLH21g2qSsajcbEEdcw1/JsDaRsjUfK1rikfI1DytV4TFm2Zpn4rVy5Ei8vL+Lj49mwYYNB9z1nzhzmzJkD1Mxs3RyzkpvbzOen88/z0Kp9hHo78cZNMcQFul2yjZ8fPHtO8cyvR1l5upq/9Q1q/kAvw9zKszWRsjUeKVvjkvI1DilX4zFV2ZplU++WLVv48ccfCQ4OZurUqaxbt46HHnqIgoICqqurgZqmYH9/fwD8/f1JS0sDoLq6msLCQtq1a2ey+M2ZUoq7v06iWqfjpbGh9SZ9tf5vWBdCvZx48fdkqqq1zRekEEIIIYzCLBO/l156ifT0dFJTU1m2bBnDhg3j888/Z+jQoSxfvhyApUuXMmHCBADGjx/P0qVLAVi+fDnDhg0zm6ZJc/P5ngxWH8vhgQEdGdPd64rbWlpoeGFsd04XlPHeltTmCVAIIYQQRmOWid/lvPLKK7z55puEhISQl5fHrFmzAJg1axZ5eXmEhITw5ptv8vLLL5s4UvNUWlHN//18mDBvJ+7pG4SN1dV//RPCfeju5cR7m1LQ6XTNEKUQQgghjMUs+/hdaMiQIQwZMgSATp06kZCQcMk2dnZ2fPPNN80cWcvzxh8nySgs57lRUXRs59igz1hYaHhqeAgzvkzk26RsJsVIfw8hhBCipWpRNX7i2uWVVvLa+uMMC2nHTVG+jfrsLVG+ONlYsmRXmpGiE0IIIURzkMSvjXh9wwlKK7Xc0zcIDwebRn3WwcaKaXH+rE3O5UyxzOsnhBBCtFSS+LUBuSUVvLc5hVHdPBl9lQEdlzOnTxAV1To+2HLKwNEJIYQQorlI4tcG/GfrKUortczqFYiLnfU17SM+wJUgd3vWJMuEnkIIIURLJYlfK1dWpeX9zSkM7OjBqG7XVtsHoNFomBjpS8LpAjIKywwYoRBCCCGaiyR+rdynu9LJKa3k9nh/XO2vrbav1sQoX6p1is93ZxgoOiGEEEI0J0n8WjGdTvHGHycI83ZiQrhPk/fXJ8gdT0cbVh+T5l4hhBCiJZLErxVbeegMx3JKuT0uAG8Xuybvz8JCw/hwb7afyqe0osoAEQohhBCiOUni14q9/scJfJ1tuSW6cfP2Xcno7l6UVmr55YjU+gkhhBAtjSR+rdSe9AI2nTzH1Fh/Qto3bJWOhhjepT0a4Hdp7hVCCCFaHEn8Wqn/bDmFnZUFN0f6otFoDLZfDwcbYgNc2X6qwGD7FEIIIUTzkMSvFco/X8kXe9O5rrsXPTu4Gnz/13X34mB2Eafzzxt830IIIYQwHkn8WqHFO9Moq9IxKdoXWytLg+9/RJf2aBX8dOiMwfcthKihlOKj7acYs3A7s75K5GB2salDEkK0ApL4tTI6neKDralE+7lc8/JsV9M7yB1rCw0J0twrhFHodIrJn+xmzjdJHD5TwleJmfR9dzMbT+SaOjQhRAsniV8rs+ZYDsdzzzMpyhcPBxujHMPe2pK4AFcSMwuNsn8h2rr/bE1leVIW9/QNYuP9/dg9bxDu9taM/3gnZ4vLTR2eEKIFk8SvlVmwJRUPB2tujDTcFC71GdK5PQfPlJBdJF9CQhhSSt55nlx5mH5B7jwzogtBHg5083Lix5k9Ka6oZu73B0wdohCiBZPErxVJPXeelYfPMCHch+5eTkY91sBOHmh1SlbxEMLAXttwnGqdjqdHdMHfzV7/erS/K3f3DuLbpCx2nc43YYRCiJZMEr9W5L/bTqEBJkb6YGlhuClc6tO/owcaYGvKOaMeR7Rt2UXlPPj9Abz++RsB/1rD9C/2cu58panDMpq80kqW7ExjTHcvhnZpf8n7L4ztjpWFhlfWnzBBdEKI1sDK1AEIw6io1vK/HacZ1Kkdgzpf+oVhaG721oR6O5GUJSMNhXEcPVvC6IXbySwqZ3CndlhoNHy5N4Pfj+Ww4b6+dPVyNnWIBrdw+ynKqnTcGuuPvfWlI/LbOdowOdqP7/Znk1daSTtH4/TjFUK0XlLj10p8sy+L3NJKbonyxdmuefL5vsHuHMwupryqulmOJ9qOs8UVDPtgK8UV1SyaHM2KmT357W99WHtPH85Xabnh451UVGtNHaZBKaVYtOM0PQJcGdnN87LbzR3QkfNVWt7eeLIZoxNCtBaS+LUS/9mSSgd3e64PM84ULvXp08GdoopqEk7L6F5hODqdYvqXe8ktreT9myK4NS4AB5uah5lBnduzZFosx3JKueebJBNHalh7Mwo5kXeeMd29rjgiv1cHN8K9nfjhQHYzRieEaC0k8WsF9qYXsu1UPrdE+hLk7tBsx+0d5A7AHyfymu2YovX7347T/HY0h0cGdeKmSN9L+qveGOHD9PgAPtuTwZEzraerwdeJWVhqYETXK3fV0Gg03BoXwIHsYvZnFTVTdEKI1kISv1bgP1tTsbWyYEKEt0HX5b2aMG9nHKwtOZAtXz7CMArKqnj61yPE+rtw/4Bg7Orp5wY1gxw0Gvj7L0eaOULjUErxzb5Mega6EefvdtXtJ0bVTNf0ya40I0cmhGhtJPFr4QrKqvh8T+26vO7NemxLCw3xAa4ckKWkhIH8e80x8koreXRwZwLcLl97HeBmz6xeHfjx0JlWUeu3L7OIk+fOM6KrZ4P66HbzcqKrpyPrj0ttuxCicSTxa+GW/rku7y1RvvWOAjS2vsHuHMspJaekotmPLVqXrKJy/rMlletDvRgf7nPV7f9vWAg6neKtVjDIYfXRmvkwB3b0aPBnJkX7sTejkJO5pcYKSwjRCpll4peWlsbQoUMJCwsjPDycd955B4Bz584xcuRIunTpwsiRI8nPr5nEVCnFgw8+SEhICFFRUezZs8eU4TcbnU7xn62pRPo4M7yeOb+aQ3yAG9U6xbZUmVBWNM3rG05QqdUxq3eHBtV6BXk4MKRzO348eIaqal0zRGg8q4/lENLegbgA1wZ/ZlyYNzoFy5OyjBiZEKK1McvEz8rKijfeeINDhw6xfft2FixYwKFDh3j55ZcZPnw4ycnJDB8+nJdffhmAX3/9leTkZJKTk1m4cCH33nuvic+geaw7nsuxnFImRfvh42Jnkhhi/F0A2JVeYJLji9Yhr7SSD7amMqa7FyO6Xn4qk4vd0y+Y7OIKvkzMMGJ0xnW+sppNJ/Po08G9UfPy9QhwxdnWiq2pMom6EKLhzDLx8/X1JS4uDgBnZ2dCQ0PJyMhgxYoVzJgxA4AZM2bwww8/ALBixQqmT5+ORqOhT58+FBQUkJXV+p+C/7M1FTd7K8Y14xQuFwtp54iDtSXHcqS5SVy7RTtOU1alY3p8AE62DZ+HckKEN652Vizb23ITv40nz1GpVfTu4N6owVlWlhYMC2nHjtMFVGtbdo2nuDZVWh1F5VXy+xeNYvYrd6SmprJ371569+7NmTNn8PWtGc3m4+PDmTNnAMjIyCAwMFD/mYCAADIyMvTbXmjhwoUsXLgQgOzsbDIzM40af06OcdayzSyuZMWBbCaFudOOUjIzzxvlOA0R2t6OQ5n5Ri9LMF55CtOVrVaneG/TCaK87IlxrW70dTSqsyu/HMsjOTUNR5vm7+faEFcq2+/3pGFtoSHcpfHn3tvHlhUHK/hlTzI9/FvfSiYN1RbuC+XVOracLmbz6SKO5JZxNLecM6VV+vfb2VsR7uXAsI4u3NDNHR+npq/q0hbK1VRMWbZmnfiVlJQwceJE3n77bVxcXOq8p9Formnqkjlz5jBnzhwAevTogZ+fn0FivRJjHOODX4+gFNzWK4QOAVfvCG9MvTvmsXRXGo5unrg6WBv9eM3xO2urTFG2Px3MJr2okrkDu9OtU1CjP39Hbwu+ObiTzWcVd/Uy32vjcmW79+wJIn1d6Nm9Y6NqOwEm2bjy97Wn2XpGy/ie5nvuzaE13heqtTp+PnyWpbvSWH00h9JKLbaWFnRs50CPDu4EuNphb23J+SotWUUVHMguYv6GdP69MYMp0X68dH13OjRxbtfWWK7mwlRla7aJX1VVFRMnTuS2227j5ptvBsDb25usrCx8fX3JysrCy6umidPf35+0tL/ms0pPT8ff398kcTeHymodH20/zYCOHgzo1PBRgMYS4+/Cf7Zq2ZtZyJAQ0wwyES3Xgi2peP65Bu21GNnVEwdrS34+dIa7enUwcHTGVVJRzZ6MQmb0aFwTd63O7Rzwc7FjT7qsntOanCmu4P3NKSxKOE1WUQXtHKy5rrsXgzp5MKxLe4LdHXCs53pRSrHjVD7vbkrh2/1ZfLs/ixeu68Yjgzs36xyvwryZZR8/pRSzZs0iNDSURx55RP/6+PHjWbp0KQBLly5lwoQJ+tc/+eQTlFJs374dV1fXept5W4vv92dxpqSCW6J8cb/C0k7NJda/ZiRiwukC0wYiWpxjOSX8djSHmyN9CPa4tpoJO2tLRnf3ZMOJvBY3unfHqXy0OkWMn8vVN66HRqNhcGcPEjOLqGplaxe3RcdzS7lneRJBz//OC78n07mdI6/fEMbWB/uz7I54HhjYiXAfl3qTPqi5HvoEe/DFHfEkPTaYXoFuPPbTYa77aAclFbKmuqhhljV+W7Zs4dNPPyUyMpKYmBgAXnzxRf7v//6PyZMns2jRIoKCgvj6668BGDt2LL/88gshISE4ODiwePFiE0ZvfAu2puLvase4cG9ThwJAuI8zlhoNx3JKTB2KaGE+2JqKlYWGqbH+TaqRuDHCh+/3Z7MmOYexoebxd9EQm1POoQF6NWHy9YGd2vHl3kx2pRfSN9j0LQCi8Q5lF/Pc6mMsT8rE0kLDuFBvbo/3Z0RXT1zsrq37TFdPJ/64vx//Wn2Mf605Ru93NrHhvn54OtkaOHrR0phl4jdgwACUUvW+t3bt2kte02g0LFiwwNhhmYXEjEI2nTzHQwM70vEaa0gMzd7akq6ejjKyVzRKaUU1ixPSGBbSnn5NTFhGdKmZAmbVkbMtLvHr0t6RLp6O17yPAX9O+rz6aI4kfi1MWn4Zz/52lKW70rC3tuSO+ACmxfozJKQdtlZNH6ik0Wh4dnQ3wnycueOLvfR/bwvbHhzQqGmDROtjlomfuLy3N57E3tqCiZG+ZtVnIz7QldVHcyiv0l52fVUhLvTF3gwKy6uZHO2LjVXTep34udoR6uXEjhbU3aBaq2PbqXzGhnrhbn/tg6LCvZ1xsbNiX6asmd1SnDtfyYu/J/P+llR0SjE1xp9ZvTswsJMH1paG74E1KdoPB2sLbl6yi8ELtpLw8AAcbOTrv60yyz5+on7ZReV8uTeTG8K86RXkZupw6ojxc+VsSaU094oGUUrx/uYUurZ3ZLyBuiyM7u5JYkYhuS1k+cAjZ0sordQS6ePSpIc4CwsN/YPd2ZtRiE5Xf0uJMA86nWJxwmm6vbyeN/84ycgu7fluRg8+nhrNsC7tjZL01bo+zIfPbo3j0Jlixn+8U66VNkwSvxbkg62nqNTqmBrjb5BmAEOq7Zzekmpc2qL885V8vz+L/20/xbbUcyab+HVLyjmSsoqZFO2Lp7NhVp0Z1dWTSq1ixcEzBtmfse1KqxmJG+bt1OR9DejYjtT8Mk7mSXcLc3Uou5hBC7Yw86t9+LnY8fltsXxxezzjwn2a7X4+KcaPF8Z2Z21yLk/9crhZjinMj9T1thDlVVo+2JrKwI4eDA5pZ+pwLhHz58jeA1nFJo5E1Kdaq2P+6mO8vfEkpZV/jf70c7Hj3ZvCuTmyeUfBL9iSipONJROjDDeP1aBO7bC20LDpZB6zepv/tC670wtwsLakR6Bbk/fV8899/HEijxDPpieSwnB0OsU7m07y1C9HsLOy4J8juzC7TwcC3UzTR/v/hoWw41QBb2w4wfCQ9ozqbrqVnxpLKcXW1Hw+2n6KxMwiSiqq6ebpxO3xAdwS7WvUGtPWREqphfhiTwY5pZXcGuePhxlM4XKxdo42+LvaSVOvGSqpqOaGjxN44fdkBnT0YNHkaNbM6c2r40JxsLHglqW7mfNNEtpmavrJKipneVIW48N9iPQ13GoTjrZWxPi7sDejZfR125VeQHcvR7ydmz7KskdgzYNXSzn3tiKzsJwR/93GIz8eolcHN766I55/jupmsqQPagZ8fHJrDH6udkz/ci9ni1tG14gzxRXctHgnA97fwrdJWTjbWtHRw4F9WUXc+vkeIl7bwOEzUvHQEFLj1wIopXh700lC2jtwXfeGL2Df3GL9XDh4phidTmFhYT4DT9oynU4x/cu9rD6aw9PDQ5g3uLN+RN+Ibl7MG9SJOd8k8b8dp0nPLeTne/yM/rv7aPtpqnWKW6J8sTLwE/rQkPa8+cdJzhZX4GWAhMpYqrU6EjOKuDnS1yCDodwdbOjoYc8h+eIzGxtP5DH5k90UVVTxj5FduK9fMD4uhunW0FQudtb8cFdP+ry7mVuW7uKP+/uZ1WDBix3IKmL0wu3kllYyt38w03sEEu3ngo2VBVqtjv8lnOapn48Q/9ZGfpzZixFdzfd70hxIjV8LsC45l/1ZxUyL9W/y8jvGFOXnwun8Ms62kM71bcGLa5P5fn82Dw/sxP8N73LJNA5WlhZ8PDWGp4aFsOpEIfd+m2TUeCqrdXy4LZW+Qe4M7WL4VV4GdmpHtU7x29GzBt+3IR06U0J5tc4g/ftq9e7gzqEzxVTIRM4mpZTinY0nGfbhNmytLVgyNYZnRnQ1m6SvVlyAGy9e151NKed4a+NJU4dzWXvTCxm4YAtVWsXSqbG8dkMYPTu46WcCsLS04G99g9n36GB8nG2Z8PFOtqacM3HU5k0Svxbg7U0puNtbc3Okj1k/lYX7OKNVyPJRZuJAVhHPrT7GqK6ePDak0xWXBHthbHemRrRj4fbTfLg11WgxfZWYQVZRBbfG+uPWhClMLqd/sDsaYGtqvsH3bUi70wsAiLzGFTvq07ODG2dKKjmYLbV+pqLVKR78/gAPrzjIgGAPvrgtjskx/k2ershYHhncmV4d3Hh21VFOnTtv6nAukZJ3nus+2oGtlSWLJkczOcbvsjXkge72bJ47AHd7a25cvJMzReXNHG3LYZ5Xo9A7llPCykNnuCXKlwgfw31JGENtfImZkviZmk6nuGd5Eo42ljwxtDO+rvZX3F6j0fDKyCDiA1x59MdDHMo2fF8xpRRv/nGSTh4OjAszTodydwcbwryd2JNh3tfgrrRCHG0siQ9wNdg+awd4bDoptR2mUF6lZeqnu3l/Syq3x/mzdFoM/Tua94TaFhYaPrs1liqt4o4v91524QRTKP2zb3JZlZb3b4pgXLj3Vbuh+Lna8eOsnhSWV3HTkl1mdT7mRBI/M/fGhhPYWGqYaIT+UIbWzcsRS42Gk3nm9+TY1ixPymJLaj4PDezI4M4NGwVuZaHhuzt7YGWhYeLS3QZvMvzjRB6JmUXcGudPkBFXnRnUuR0Hs4vNem3S3ekFdPN0wsuAy2fF+btioUFq/EzgfGU11320g+VJWTw8qCNv3xhh1GvckLp4OvHcmG5sOnmOD4xY298YSinu/iaJw2eKeen67twY0fDWrrgAN14dF8a2U/m8+Yf5NmGbknlnEm1cdlE5S3elc32oN4Ma+OVtSrZWlnRq5yCJn4lVa3X8c9UROrVzYHqPwEY9MHRwd2Dx1BiOnC3h7q8N29/vzT9O4m5vzfhwb6N2WegT5E5ppZZtqeZZ81Wl1ZGYWUSYt5NBp59wtLWiu5cTB2WAR7OqrNZxy9Ld/HEij3+N7sZzo7u1uCXRHhvSmRg/F/7+yxHOmMEo3892p/Pl3gzu6RvU6HsYwAMDOtIz0I1/rT5GZmGZkaJsuSTxM2Pvbk6hslrHHfEB2LeQZdAifJw5ce68ySYGFjVLoR3NKeWevkF0bt/4NWBvjvLl7j4d+HR3Ot8lZRkkpmM5Jfz0Z5eF2jkfjaXXn02eW1LMs59fzQAMHd29DD/fXu0Aj9KKKoPvW1xKq1PM+HIvvx45y1PDQ3hkcCdc7Azfd9XYLC00fHprLCWVWmZ9lWjSWDILy3nwhwPE+Lnw+NDOV+ybfDkWFhqWTovhfJWWud8dMEKULZskfmaquLya/2xJZWhIO6OMfjSWCF9n0gvKyJaOtSahlOKVdcfp0t6RKdHXPjnyOzdG0LmdA39bnkSOAWoA3vzjJNaWGm6JMv4kq109nXC2tTTbmq/aFTsifA3fZ7dnBzcKyqpJlHV7jU4pxQPf72dZYiZz+wfz9IguOF5DkmIuInxdeGRQJ34+fJYf9hvmga+xlFL8bXkSZVU6nh3VlWCPxj+41gr1dmZOnw6sOJhNwinzfAg0FUn8zNRHO05RWF7NjB6BRhn9aCzh3s7oFOw28871rdXqozkcOlPCbXH+dGhCHyN7a0u+nh5PQVkVt36+p0mdpFPyzvNxwmnGh3kzoJPxO7tbWGjoEejGwexis+zcvTu9AEcbS2L9jZD4/VnbuVmmszC6f6w6ygdbTzGjRwAvXx+Kg03LTfpq/WtMN4Lc7Zn7/QHOVzZ/H9lPd6ez8tAZ5vYPZlxY09fw/teY7jhYW/LYT4cMEF3rIYmfGaqs1vHmHyeJD3BldAtaTgdqpnQB2C9Lt5nEWxtP0s7BmonRTV+CLS7AjX+M7MLvyblN6vT97zXH0ACzendoti/HPkHuHMstJbPQ/Gqed6UVEOpl2IEdtSJ9nbGx1HAwW1bQMaY3Npzghd+TuSnCh3dvjGjRNX0XsrO2ZPGUaDIKy3l4xcFmPXZmYTkPfX+AWH8XHhncySCDGds52vDEsBA2pZxj/fFcA0TZOkjiZ4a+3JtBRmE50+MDDLKcU3Pq6umElYWM7DWFYzkl/HY0h0nRfoR6GWYptKdHdKVHgCtPrDzM8dzSRn8+KbOIpbvSuCXKj6EhzddloVegG1qdYlNKXrMdsyG0OsX+rGK6ejoZZMWOi9laWRLu4yIreBjRxztO89hPhxjRpT0LJ0Xh0oJaZBpiaBdPbo315+Mdp0nMap4HCKUUc77ZR1m1jn+O7IrfVaafaowHB3TEycaSF39PNtg+WzpJ/MyMTqd4bcMJQto7MCGi6VXdzc3GyoKQ9o6cyGt8kiCa5qPtp7G00HBjhA+WBlp2zdJCwzczegAwaemuRq3nq5Ti/u/242JnxazegUZJdC6nZwc3AHanmVeXg+O5pZRX6+jqee19l66mVwc3jp4tMUlTXWv3bVImd3+zjz4d3Ph4SgztjVBraw7euzkCV3tr5q1KbZY1vD/Zlc7Ph8/ygIGaeC/kam/N/f2DWZucS8Jp6esHkviZnV+OnOVgdjHT4wMJakLHVlOK9HHmZN55qmRkb7OpqNayZGcagzp5GHzS2GAPB967KYLEzCLu+3Z/gz/3cUIam1PO8cCAjgzu3LwDlPxd7fFxtjW7AR77s2oGXYRcw2jrhorzd6WkUste6WdrUGuO5nDrZ3uI8HHm4ykxBLobrlbK3Hg42PDOhAiOnavghd+PGfVYGYVlPPTDAeL8XXhwUEejzFf7yODO2FhZSK3fnyTxMyNKKV78PRkfZ1tuMUAfLVMJ93Emo7DcLPtXtVYrDpwht7SSmyN8r2n6g6u5q1cH7uwZwMLtp3h/c8pVtz+UXcyD3x+gR4Ars3p1MFgNZGP07uDGwewSs5paKCmrCAsNxAUYbxWe2D+ny9lm5svWtSTbT+Vz05KddHC3Z+GkKEJ9DNOVwpzdFu9P/0AnXl53nJNGasFRSnH310lU/NnEG+hmnEmvvZxtmdkrkJ8Pn+XoWfN6GDQFSfzMyIYTeWw7lc+dPQLo5mn4Ob6aS7iPMwrMftms1uSz3el4OdlwXajxBgMtnBRNv2B3HvrhAEt3pl12u+yicm5eshM7awuev667yVYw6B3kzumCMo7nmk9/06TMIoLc7fFzMV5tUaSvM5YaDYfPygAPQziQVcTYj3bgbm/N+zdF0jvIvJdhMxSNRsObY4JRCmZ8mWiUEfJLdqbx65GzzB0QzHWhxu3a9OTQEBTw3Grj1mC2BJL4mZHn1yTT3tGGKbF+V12T0Jz9NbJX5hJrDufOV7Lq6FlGdfWkoxGTLGtLC1bP6UOMvyszv0rk6V8OX9L/51hOCUM/2Map/DJeuT6UEV09jRbP1dRO5PzHCfMZzZeUVUxIO0dc7Iw3CtTO2pKuno4clcSvyU7mlTJq4XasLDQsuDmyxc2y0FQBLrbMH9WVzSnnWLTjtEH3fTr/PPNWHCTO35X7+wdjY2XcdCTIw4Fbonz58eAZ8korjXoscyeJn5nYmnKOdcdzuT3en0hf465sYGwh7R2xttBwwoxqWlqzb5OyqNIqxnT3MvoDg6OtFRvv68fYUG9eXHucLi+t44Xfj/HxjtPcszyJyNf+IL2gjPduimB6j0CTNPHW6vFn4mcukxkXl1eTcu48IZ6ORl2yDmrO/cjZEuln2wSZheWM/O92zldqef/mCG4Ib3mD7QzhsaEhRPg48+TPhw3Wfadaq+PWz/ZQrVP8c2SXJk3U3BjzBnWitFLLm3+caJbjmStJ/MzEC2uTcbWzYkqMv0m/LA3B2tKCLp6OnDwniV9z+GJPBh3c7RnVtXkGUDjaWvHjzJ4smhyNvbUFz/x6lFlf7+OTXWmM6Nqe5TN6MKNnoNGf4K/G1d6aLu0dOZhtHn16DmTXJKBdjDiwo1ZcgCt556s4bGaDW1qKrKJyhn6wleyiCt65MYKJUX5GT9bNlaWFhi9vj6O0QsukpbvQGWCU77O/HWVLaj5PDQsxehPvhXoHuRPj58KXezPQ6druQ1GT78yPPvooBw8270SPrc2e9AJ+OXyW2+L8iQ9o2bV9tSJ8nEmRNXuNLqOwjD9O5DGmmyeeznbNdlyNRsPM3h04+MRQjj81lNVzerP3kUEsn9GD0d29jL4sW0P1NKOar9pJzcObYWBA7aogW2WAR6NlF5Uz7INtpBWU8e6N4dwa1/IfxpsqwteFV28IZeupfJ765XCT9vX7sRxeWnecGyN8mNW7Q7M/ID4yuBMp58r4Ym9msx7XnDS5xENDQ5kzZw69e/fmww8/pLDQdB36V61aRbdu3QgJCeHll182WRyN9cLvyTjZWDI5xs9svjCbKszbmczCcrINsM6ruLyvEjNRwHUm7HvUub0TI7t50c3LGftmnKuvIXoEupJTWmkWNV9JWUU42lgS0QyJX4xfzQOk9LNtnPSCMoZ/uI1T+ed598YIbu8R0GruyU31wICOTIjw5rX1J1i+79qSplPnznPb53vo6OHAE0M74+PSfA+rtSbH+OHhYM3/thu2z2JL0uQrevbs2WzZsoVPPvmE1NRUoqKiuPXWW1m/fr0h4mswrVbL/fffz6+//sqhQ4f48ssvOXTI/NfnO5hdzHf7s5ka60ffVjRaLNRbRvY2hy/2ZBDq5cSwLs07T15LEfdnDfoWM1i7NimziJD2jrRztDH6sVztrQlyt+eIDPBosN1pBfR6ZxOn8st4e0I4d/QIwNbKvB5kTEmj0fDFbXF083JixpeJbEtt3N9U/vlKxv5vB+crtbxyfSh9g03zfWdrZcnf+gaxKSWPpMy2+f1kkEcZrVbLkSNHOHLkCO3btyc6Opo333yTqVOnGmL3DZKQkEBISAidOnXCxsaGqVOnsmLFimY7/rV6aW0y9tYWTI3xN3mfKEMK9a6Zjma/mXSsb42O5ZSwO72Q0d09cbFrXctGGYq+5svE/fyUUiRlFRHSzqHZkon4AFeO5pQapE+WOSgoqyI5p4SUvPNUVhu26f6H/VkMWrAVFCyaHM1dvTpI0lcPBxsr1t7TF3d7a677aEeDV8LILalg5H+3cyynlNdvCOPGCB8jR3pl9/ULRgO8seGkSeMwlSbPKTBv3jx++uknhg8fzt///nd69eoFwJNPPkm3bt2aHGBDZWRkEBgYqP85ICCAHTt2NNvxr8Xx3FK+3JvBbXH+Bl9twdS6ejpioYHUfBngYSxf7slAA4xrxs7RLY2rvTUdPRw4csa0NV+ZxVUUllc3y8COWvEBbny3P5u0gvMtdhWgzMJy/rM1lS/3ZNQZLGahqelHPKa7F2O6e9HJ9tqS29KKav7v58O8vyWVCB9n3rghjBFdPVv0dFrG5udqxx/392Xg+1sZ8p+tLJ0Wy6Rov8tufyi7mIlLd3Eyrybpm94z0CirczRGgJs948K8WXEwm+LyKpzb2INzkxO/qKgonn/+eRwdL72xJCQkNHX3Brdw4UIWLlwIQHZ2NpmZxu3gmZOTc9n3/vlbKpYaDTcE23Iu54xR4zCFQBcbjmXlG7SMr1SebYlSik92niLK256OtuUGKePWWrYRnrYkpBeSnpGBhYlGZm4/kQ2Aj3Wl0e85tTrY16zV+8veE0wIbVldAZRSLN2Xw0ubMjhfpSPe14Fhse1pb29FlU6RVVLFgbNlvLHhBK+uP4GzjYbru57ihm7u9A90wdryyr/nSq2O7w+f49UtmWSXVHFzdzfm9vSmm0s12dlZzXSW5u9y9wR7YOW0rkxbfozJn+xmXJcTPDHAn84ef/XZK6rQsmjPGRYknMHWSsNLw/yZEGxDfs4ZzGHI0W1hrqw4eIZXViVxX6/mXynLlPfba0789uzZA0B0dDRHjx695P24uDhcXZtvhKq/vz9paX+tJpCeno6/v/8l282ZM4c5c+YA0KNHD/z8Lv+kYij1HePUufN8c+gcN0f6MK5nd7PrFG8IUf7pHMwuxsfH16BP0M3xOzN3e9ILOJlfwdPDQ+gUFHj1DzRQayzbASHn+eloPqXWLnTzMs1SW5k7apKJgWHB+Pm5NcsxRzh5wHfHOV5i2aJ+r9VaHfd9t5+PtqfRp4MbTw4LYViX9vV2Z8guKuObfVmsSDzNT8cKWHYgDzd7K67r7sWQzu2J8nPB38UOO2sL8suqOJRdzNrkXJYnZZFdXEGYtxPPjw3llig/XO3bVq1PQ13u2vED9j/ZgXkrDvC/HadZmVxAqJcTIe0dOXe+koS0Aqq0iqEh7XhyaAgjunqa1ejoW3wVXdZn8P2xIp6/Md4kMZjq7/KaE79HH330su9pNBrWrVt3rbu+Jj179iQ5OZmUlBT8/f1ZtmwZX3zxRbPG0BgvrE1Go4HpPQJbZdIHNSN7fz1ylnPnK2nvZGvqcFqVL/ZkYGWh4fowaea9mtoBHptTzpks8TuSW4avs22zLl/n42KHp5MNR3JazgAPpRR3f5PEkp1p3NUzkPmjutLhCmXm42LPAwM7MbGzHQ5u7flsTwa/HD7Lb0dz+PIy03XYWlrQJ8idp4d3YUKEN4HupllSsDWwsbJgwcQonhgWwmvrTrAvq4ijZ0uwt7Fkaow/o7t5MjbUC3cH4w9oaiyNRsODAzvywPcH+O3I2Ta1Kss1J37r169Hp9Oxbds2+vfvb8iYromVlRXvv/8+o0ePRqvVMnPmTMLDw00dVr1O5pWyOCGNmyN9GBrSztThGE2otxPVOsW+rCKGdzHd0l1NkZhRyItrk9mWmo+1pQWTo32ZN7gz3s6mS2R1OsWyxEz6BrsT69865n00ptoySsww3UCjQzllhHg64tbMtUpx/q4taum2F9cms2RnGnf37sBL14c2agS0m4MNcwd0ZO6AjlRWa0k4XcDu9EJySyupqNbhaGNJkLs9sQGudGnviION8ZbNa2uC3B14f2IkgH7uVlP342uI6T0CeHLlYd7bnCKJX0NZWFgwd+5c9u7da6h4mmTs2LGMHTvW1GFc1fNrkrHQwF09A1v1zSfMu6Z2ZV9Gy0z8vtqbwW1f7MXOyoJBnTwoKq/m1fUn+N+O0/wyuze9gtxNEtemlDwyCsu5r18Qdq20ttiQ2jnaEOhmZ7IEqKJay4lz5fTv1PxNXT0C3fj9WA55pRW0czTvWvdNJ/P4x6qjXNfdk2dHdW3StDc2VpYM6NSOAZ1a74O1uWoJCV8tFztr7ugRwMcJp0kvOE+AW9uo/W3yb2j48OF8++23KNU6pgwwtuScEj7Znc7EKF8GdW7dN6XuXjVTupzIKzVxJI3344Fsbv18D9G+zvw0sycrZvZi8wMD2PJAf2ytLBj8n61sNdHccF/sycDe2oLrukszb0PFB7hxJKfEJPepI2dL0KrmWartYrH+LmgVbDPzFTyKy6uZ/sVe/Fzs+MfIrvi72Zs6JNFGPDigI1VaxettaGqXJid+//3vf5k0aRK2tra4uLjg7OyMi4uLIWJrlf69JhkrCw139mjdtX0AznZW+LnYknKuzNShNMrZ4gpmfb2Prp5OLJgYxdAunvrZ+/sGe7Dr4YG421tz4+KdpOc377lVVuv4Zl8Wgzu1a5alv1qLHoGupBWUc9oE0wsl/TmXZVdPp2Y/dm0z947TBc1+7Mb495pjpOaX8a/R3ehjopp00TaF+TjTP9idrxMz0baSOS+vpsmJX3FxMTqdjsrKSoqKiiguLqaoSCbtrc+RM8V8viedydF+DGzltX21Qr2dST3Xsubym/v9fgrLq3hudNd6v4R8Xe1ZNac3JZXV3LRkZ7NOkLv6WA75ZVWM6e7Vqib8Nra4PxOgzSao+UrKKsbaQkOMf/Mn6h09HHC2teKQGSxZdznHckp4e9NJbgjzZmKULxoTTbkj2q55gzuRVVzBJ7vSrr5xK2CQb478/HwSEhLYuHGj/j9xqedWH8PWyoLp8f6tdiTvxSJ8nEnNP09xWZWpQ2mQnacL+GZfFnf1DOSG8MvPLh/l58obN4SzK72Ql9YmN1t8X+zJwNXOitHdWl6fSVOKC3ADYFdaQbMfe39WEUGuNng5Nf+6pBqNhmg/Z46eNd/uFv/382FsLC24v3+wTKkiTGJCuA/eTjb8d9spU4fSLJqc+P3vf/9j0KBBjB49mmeffZbRo0czf/58A4TWuhzMLuarfZlMjfFvM7V9UDOyt6xKx6Gz5lvjcKH5q4/iamfFjAZMs3NPvyAGd/LghbXJnGqGWs3SimpWHMhmeJf2hJigv1hL5u1si4+zrUkGeCRlFtHJ3RYnW9M87PUIcON4binlldUmOf6V7E0v5Pv92dwW5y/rTQuTsbK04N5+wew4XcCe9Na/fm+TE7933nmHnTt3EhQUxPr169m7dy9ubm4GCK11+fsvh3GwtuSOHv5tag3I0D/nTUtsAWv27kor4JfDZ7k9LoBeHdyuur1Go+F/U2Ko0ioe+uGA0eP78eAZzldpGdPNq0WNnDMXcQGuHGnmxC+3pIKs4go6utmYrAkzLsCVCq2OhDTz+0J7bvVRnG2tuD0+QN+PVghT+FvfIKwsNLy+/ripQzG6Jv+l2dnZYWdX04RRUVFB9+7d613Joy3beCKPHw+e4a6egQzo2HZq+wDCvGs6tJtzU1OtBVtSsbe24NY4/wYnViHtHbm3XxA/HjzDppN5Ro1v6a40vJ1tGdFVakauRc9AN1LPlXG2uLzZjrk/u6amu5O76aZSqR3gse2UaUahX86BrCJWHDzDtFg/GdAhTM7HxY4JET78dOgM+ecrTR2OUTU58QsICKCgoIAbb7yRkSNHMmHCBIKCggwRW6uglOKxnw7h7WTDjB5t76m2vZMtHg7WZj/AI/98JV8lZjCmmxfxgY2bFPm50d1wsbPisR8PGW26kPSCMlYfy+GGMC+CZKWBaxLn74oCNp1svgSodkRv9/am+51193LC1sqCpEzz6m7x1saT2FpZMC3Wv83dF4V5emRQJ0oqtbyyrnXX+jX5r+3777/Hzc2N+fPn8+9//5tZs2bxww8/GCC01uHHo/nsTCvg3n7B+g7mbU13LydOmnni9+nudMqqdEyM8m10U7y7gw3Pje5GQloBn+5KN0p8n+xKRykYF+Zt0HWP25LahH7H6eYb2ZuUVYS7vTXB7s0/sKOWlaUFYd5OHDWjpdvOFFfw2e4Mbgjzlto+YTb6dfSgT5A7i3emUV5lfn1iDcUgj1mbN29m8eLFDB48mL59+5KRkWGI3bZ4FdVaXt6cQZf2jtwa599mv7AjfGqmdKmo0po6lMtanJBGmLcTI7te22jZ+/oH09HDgfmrj1JVbdjzVEqxeGcacf6u9Av2MOi+2xI/FzvaOVhzpBm7HezPKqJLe0dc7Uw7Z2ePADeO5ZSi0+lMGket/247RaVWx9QYP1l9RpiV50Z35WxJJW/+0XondG5y4vfcc8/xyiuv8NJLLwFQVVXF7bff3uTAWoPv92dzurCSBwd0pIsJJm81F2HezhSWV3M81zz7+R05U0xiZhHXdffC6xrX4LW2tOC1G0JJOVfGWxtTDBrf5pRzHM8tZXy4N55O5r3sljnTaDTE+DffAA+tTnEgu5jO7R1M3pQZH+hKcUU1+7NM39xbrdXx0fZT9OngxvBrfNASwlhGdvUkyteZ/2w9pV93uLUxSFPvjz/+iKNjzfQSfn5+FBeb/uZiDqbE+PHFxBBm9Aw0dSgmFfrnAI+9meY3qhDgq8RMNMCIJk4ncXOkL9F+Lry58SRlBpw6Y3FCGg7WlozuLl+STdWrgxsn80opaoZ5JU/klVJWpTPJUm0Xi/N3A2CTiZYZvNCqozmkF5Zzc5QvbjJvnzAzGo2G+aO7kVFYzoItqaYOxyianPjZ2NRMU1A7VUFpqXnW6piCRqNhcLArziZu5jG12ildDppBbcPFlFIsS8wkLsCVPk1sRtVoNLw5PpwzxRX8a80xg8RXUlHN1/syGdm1PdF+jRt0Ii7VI8ANrYLNqcZPgPZn1QzsMIfEL9LXGUsN7M0w/cPXf7edop2DNePCZK1pYZ4mhPvQtb0j725KMejKTEopPtp+iuJy0/YfbHLiN3nyZP72t79RUFDARx99xIgRI7j77rsNEZtoJQLc7HC0sSSlmde1bYiD2cUcOVvCyK6eBql9GNalPYM7t+ODrafIL236lADL9mZQWqnlhnDvNrPaizHFBfw5tUkzLN2WlFmMhQZi/E2fsNtZWxLS3tEkE1hf6GxxBb8eOcu4MG+TrF0sRENYWGh4bkw3Tp47z1sbDdfXb3lSFnO+SeKdTabtP2iQGr8RI0YwceJEjh49yr/+9S8eeOABQ8QmWgmNRkM3TydSzHBk748HzwAw1ICrqbw5PozC8mqe+vVIk/ajlOKdTSl0ae8oS7QZSJC7Pa52VhzMNn7tc2JmIUHu9vi5mm5E74XiAlw5mmPaFplv92eh1SnGdPPCso0OdhMtw+RoP6L9XHh1/XFKDFBDl1daydzv9hPq5cTkGF8DRHjtmpz4nT17lqeeeopTp04xYsQIRowYYYi4RCsT/ufIXq0Bq80N4ceD2YR5O9GjASt1NFRcgBs3RviwdGca6QXXXsu5NjmXA9nF3BrrT4CbzN1nCDVr17o0ywCPxIwiuno64WZnHv3Yega6kVtayQkTDrL6am8Gwe72DO/StiayFy2PhYWG92+K4GxJJY+vPNSkfSmlmPvdfvLOV/GPkV3o6ulsoCivTZMTv+eff57k5GRmzZrFkiVL6NKlC3//+985ceKEIeITrUSYtxNnSypJKzCfWr8zxRUkpBUwqFM7PBxsDLrvV8eFUqXV8ciPB695H2/+cRIPB2smRpn26bC16dXBneN5pZRVGm96obzSSk4XlNHV09FspnGqbeY29gozl5NZWM7Gk+cY2dUTT2fzqAUV4koGdGrHLVG+/G/HaXanF1zzfj7dnc6yxEzm9OnAhAgfwwV4jQwyx4BGo8HHxwcfHx+srKzIz8/nlltu4YknnjDE7kUrEOpd84RjTgtg/3zoDErBwI6Gnxuvi6cTM3oE8t3+bBIzChr9+R2n8vn1yFmmxfgT5mPap8PWpkeAK1VaZdQlzPb9uWJHNzPqxxbz5+CgnWkFJjn+N/syUcB1oV4mOb4Q12LBzZE42lhy15eJ1zS9y4GsIu77dj9x/i48OrgzDjamH+zZ5MTvnXfeIT4+nieeeIL+/fuzf/9+PvjgA3bv3s23335riBhFK1C7Zm+SGY3s/fXIWbycbBjYyTiTIr94fSj2Vhb8bfn+Ri/l9uxvR3Gzt+KOHgHSF8rAamu+thpxgEfin1MXhZtR0u5qb00HN3uT9fNblphJl/aOjJK5+0QL4uVsy4KbI9mfXcz93+1v1GfzSiuZsHgn9taWPH9ddzqbwQh/MEDid+7cOb777jt+++03Jk2ahLV1TX8WCwsLVq5c2eQARevQ0cMBa0sNKXnm0dRbrdXxe3IOfYLc8XO1N8oxvJ1tef667iScLuCDrakN/ty65Fx+O5rDjB6B9Ah0M0psbVnndo442ljq19E1hsSMIjwdbejiaR43+lqx/i4mGdl7Ov8820/lM7JrexxtTV/jIURj3BYfwIweASzcfppFO0436DOFZVWM+Wg76QVlvDYulNHdzKem2yArdwQFBdX7XmhoaFN3L1oJK0sLQto5ms3I3l3phRSUVdOng7tRa9TmDuhItJ8LT/18hFMNOPeKai33fptEgKsdM6S2zygsLDRE+hp3gMfejEK6eTnRzsB9R5uqVwd30gvLySpq3qmVvk7MAmB8uOn7NwlxLT68JYoeAa78bXkSX+298rK0WUXljFq4ncSMIl65PpSpsea1ZKtp1xESbUq4jzMp5843utnTGFYfzUEDDDBSM28tSwsNX0+Pp1KrY9Inu6i6Sh+Rf60+xrGcUv5vWIhZzP/WWvXu4Max3FIqjbB+dHmVlsNnS+jq6Wh269DG+rsAsPFE867g8eXeDMK8nRhswGmThGhOdtaWrL23L6FeTkz7bA9P/XyIiovWZVdK8dPBbHq+vYmkzJqkb07fILO7D0jiJ5pNuI8zmUXl5JRUmDoUVh89S6i3ExHN0Aerq6cT790Uwc60Qm77fM9lE9/vkrJ4ce1xxod7MzXWX78ajjC8HoFuVFTrSDDCQIeD2cVodcqsBnbUiv3zYSLhdEGzHfN4bil7MgoZ2dXT7L4AhWgMFztrdjw0gBvCvXl53QmCn1/LYz8e5L/bUvn3mmP0fmcz4z/eiY2lhkWTo5k7oKNZDOa4mPlFJFqtUC8ndKpmZO+YUNNN51BcXs320wVMjw/AvZma4mb3CeLI2RLe+OMkGvawdFpMnS/Bb5MyueOLvUT4OPOv0V1p52heTYStTdyfCdDmlHMM6GTYWqjaZdG6mVn/PgAfFzs8HW04mtN8/fy+TswEMItpLIRoKgcbK364qyffJmXx2voTvLs5hSptzcN8dy8nHh/SmTt7BhDm42LiSC9PEj/RbGqndNmXVcSYUNOt07nt1Dm0OkV8QPM2pb52Qxg6BW9tPMm2U+e4r18wnk62/HrkLN8mZRHp48zrN4QR7e/WrHG1Rd28nLC3sjDKAI/EzCIcbSyJ9DPPG3+sv2uzJn5f7s0gyteFfsHuzXZMIYxJo9FwS7Qft0T7kVdSyeGcYlztrPB1tqO9k62pw7sqs2vqffzxx+nevTtRUVHcdNNNFBQU6N976aWXCAkJoVu3bvz222/611etWkW3bt0ICQnh5ZdfNkHUoiG6ejpioYETuaYd4PHHiTwsNdCvY/N+EWk0Gt6cEM430+Nxs7PmqV+OMPvrffx+LIe7egby2a2xjOpuPiO/WjNLCw0Rvi4cNsIAj8SMQrp6OuJlpl8APTu4kZJ3npxi43e5OHymmAPZxYzq2h5bK2nmFa1POycbBnRsR6Sva4tI+sAME7+RI0dy4MABkpKS6Nq1Ky+99BIAhw4dYtmyZRw8eJBVq1Zx3333odVq0Wq13H///fz6668cOnSIL7/8kkOHmra8ijAOO2tLgtwdTD6yd+PJc3T3cqZLe9P0wbol2o+kx4ew/9HB/H5PH7Y/NICFk6KIksEczapnYE3NV3V14ydlvRydTrEvs2apNicznbYk1t8Frapp5ja2rxIz0QDjpZlXCLNhdonfqFGjsLKquWH26dOH9PR0AFasWMHUqVOxtbWlY8eOhISEkJCQQEJCAiEhIXTq1AkbGxumTp3KihUrTHkK4grCvJ1MOrK3rEpLwul84gJcTf7FHOHnwvAunnT3csbK0uz+FFu9HoFulFXp2NWEpZgudiKvlJJKLV3NsH9frfgANwB2nDbeBNZQM8Lxy70ZxAW40suAa2ELIZrGrL9tPv74Y6677joAMjIyCAwM1L8XEBBARkbGZV8X5incx5lT+WUUllWZ5PgJp/Op1Cri/M2z/5VoPvq1aw1Y87U3w/yWartYkLs9Xk42Rl9FJymriGM5pYzs6inNvEKYEZNUeYwYMYLs7OxLXn/hhReYMGGC/t9WVlbcdtttBj32woULWbhwIQDZ2dlkZmYadP8Xy8nJMer+WxpfWy3VOsWG/SfpFdj45Kup5bnyz6ancBet0X/3LU1bu1bdtAobSw07T2ST2c3BIPvccDgdawsNwTblda4vcyvbOB8H9qXnk56RgYWRpg3636YMLDQwwFsj99kWSsrVeExZtiZJ/H7//fcrvr9kyRJWrlzJ2rVr9XOZ+fv7k5aWpt8mPT0df39/gMu+Xp85c+YwZ84cAHr06IGfn981n0dDNccxWop+1fawKpXUCmtuvMZyaUp57s05RZf2jvQL6yRLR9WjrV2r4T7HSSnWGey8D+Wn0s3LiaguwTjb1b2+zKlsh3cvY9XxQxRaOBPua/jab6UUPx8/RK9AN4ZHd2mW+fvMqXxbEylX4zFV2ZpdU++qVat49dVX+fHHH3Fw+OspfPz48SxbtoyKigpSUlJITk6mV69e9OzZk+TkZFJSUqisrGTZsmWMHz/ehGcgrqS7V00TmClG9lZW69iaeo64AFdJ+gQAPQPdOHK2hAoDrOCh1Sl2pRUQ7uN8SdJnbvr+ObXK2uO5Rtn/rrRCUs6VMbKbTNoshLkxu7vT3LlzqaioYOTIkUDNAI8PP/yQ8PBwJk+eTFhYGFZWVixYsABLy5obyvvvv8/o0aPRarXMnDmT8PBwU56CuAIXO2t8nW05aYKRvXsyCimr0ulXLxAiPsCNhdtPsyu9gP4dmzaR86EzxZRWagn3Nv5qME0VH+CKtYWGPemFRtn/V4kZWFloGBsq0xMJYW7MLvE7fvz4Zd97+umnefrppy95fezYsYwdO9aYYQkDCvNxJiWv+RO/jSfyABho5PV5RcvRM9ANgD9OnGty4le7DFq4j/kO7KhlZ21JjL8L+4wwgbVOp/gqMZO+Qe5E+8lDlhDmxuyaekXrF+Xrwslz5yk437wje/84mUewuz3hzbA+r2gZIn2dcbKx1C+z1hQJp/NxtrXST5di7oaGtOfgmWLOFBl2Iudtp/JJLyxnVDdP7KWZVwizI4mfaHZRvi5UVOsM8mXbUFqdYvPJmv59LnbWzXZcYd6sLC3oE+ROYmZhk+eW3HG6gDBvJ7ydW8bs/UM6t6NKq1h19KxB9/tVYia2lhaM7uZp0P0KIQxDEj/R7KL8amrcDDlx7tUkZRZRVFFNnPTvExcZ2KkdJ3LPk9qEfqcFZVUkZRUR7efSYgYz9O/ogYUGNqfkGWyfWp3im32Z9OvoToQRRgsLIZpOEj/R7MK8nbHUaDhqhHVSL2fjyZovtz5BslC8qGtARw8UsProtc+rtTX1HErRogYOudhZE+Pnym4DDvDYeDKP7OIKRneVZl4hzJUkfqLZ2VlbEtLegeTc0mY75h8n8/B3sSM2oOV8MYvm0buDG5YaDTv+HJxxLTadPIelhabFPVgM69KeA9nFnC02TD+/L/ZkYG9twUhp5hXCbEniJ0wixt+V47ml6HTGX7NXKcXGE3nEBbjibi/9+0RdjrZWxPi7NKnma9PJPEK9nOjoYZgVQJrL0JCafn4rD59p8r7KqrR8vS+T4SHtCWsBU9oI0VZJ4idMIsbPhcyiCk4XGH9al8NnSsg7X0Wsv4t+JRghLjS6mycHs4tIyy9r9GfLq7TsTCsg1t8F1xb2YDGkcztsLDWsPdb0iZx/PJBNUXk114d5t5h+jkK0RZL4CZOI8qvp+L39VIHRj1Xbv69nBzejH0u0TCO6eqJV8OPBS9cQv5odp/Op1CpiWuCcdQ42Vgzs1I5tp841eVTzJ7vT8Xa2ZXiX9gaKTghhDJL4CZOI+nPEX2IzTOnyx4k8PB1t6NFC5lcTza9vkDt2VhZsSTnX6M+uPpqDpQb6dWyZE4NfH+pFyrmyJq3ikV1Uzm9Hcxjb3avFNXcL0dZI4idMwt/VDlc7K47lGHeAh1KKjSfziPV3xcupZcyvJpqfnbUl/Tt6sCOtoNE1X78dzSHS14Uwb/NfsaM+13WvWVZteVLWNe/jy70ZaHWKsaFeWFnK14oQ5kz+QoVJaDQaonxdOG7kkb0n886TWVRBXIArFhbSv09c3uhunpzMO9+oZcxySirYk1FInyD3FjsxeDcvJ4Lc7fVLGl6LT3alE+btxIAWWuspRFsiiZ8wmdgAV47nlVJaUW20Y9T274vzl8lkxZXdEOYN1NReNdSaYzkoVdNU3FJpNBqmxPixI63gmiaxTsosIjGziOtDvfFxsTNChEIIQ5LET5hMlK8LZVXGXbpt48lzuNlbtbj51UTz6+7tTEh7RzY0oubr1yNncbWzon8Lr+maEuOHVqdYsjOt0Z/9z9ZUbC0tGBvqZYTIhBCGJomfMJnaAR4JaQVGO8YfJ/KI9XOVmgjRIBOjfNidXsjpBkzrUl6l5ccDZxjUqR0d3O2bITrjifV3Jcjdnt+ONG7d3vzzlXy6K50x3T3l4UqIFkISP2Ey4T5OWGjgyBnjLN2Wll9GyrnzxAW4Yi0dzkUD3BThi1an+Gx3+lW3XXXkLEUV1Yzq6tniry+NRsOtcf7sTCvgyJniBn/u44Q0zldpmRLjJ3P3CdFCtOy7lWjRHGys6NTO0Wgjezf9ufh8S1o/VZhWz0A3AlztWHHg6vP5fZWYiaudFSO6to556+7uHYROwZt/nGzQ9uVVWt7aeJI4f1dGdpUl2oRoKSTxEybVM9CVI2eLqdLqDL7vjSfP4WhjKU1QosEsLDTM6RNEQloBe9ILLrtdcXk1Px06w7CQ9oS0d2y+AI2oYzsHRnXz5Lv9WZRVaq+6/aIdp8koLGd270Day1RJQrQYkvgJk+rVwZ0zJZUcbkTzUkP9cSKPGD8X/F2lf59ouJm9A7HUwHubUi67zaKE05RWapkQ7t2q5q17aGBH8s5X8f6Wy5871KzL+9K648T4uXBjhE8zRSeEMITWc8cSLVKPgJpm2I0nG79iwpWcLa7gyNkSYv1dpe+RaBR/V3vGdPfih4PZnCutuOT9Kq2Ot/44Say/C9eFepsgQuMZ3c2LMG8n3vrjJGWVl59m6fk1x8goLOfefkH4urbsgS1CtDWS+AmTivV3xUJTMxeYIa07XrPofM9AN4PuV7QN80d3o6CsmsdXHr7kvS/2ZHC6oIw74gPwcm5dTZwWFhrevTGCrOIKnll1tN5t9mcV8er6E9wQ5s2kaL9mjlAI0VSS+AmTcrS1opunE4cM3NT7+7FcnG2t6BfcsudXE6bRI9CNKTF+fLY7nQNZfz2UZBSWMW/FQcK8nbgpsnU2cQ7v6smYbp68vzmF9X8+QNU6U1zBTYt34mxrxUMDO+LuYGOiKIUQ10oSP2FyvTu4cfhsCRVVV+9Q3lBrk3OID3AlwE3694lr8/oNYdhbWzLyv9s5lF3EqXPnmfzJbsqqtPx7TDeCPVrHoI76fHprLF5Otty8ZCc/HzoDwJ70Akb+dxsZheW8NT6MISGtYzSzEG2NJH7C5Hp2cOfc+apGrZF6JSfzSknNL6NnoJv07xPXLMDNnt/v6cP5Si3hr/1BxxfWsie9kH+O7Mq4sNZZ21ervZMtv9/TBycbK8YtSsDx/34h/q1NZBSW8/oNYUyN88dS1r4WokWyMnUAQtSuc7o2OZdeBph6ZW1yTfNUrw5uTd6XaNt6BLqze95A/rv9FHmlVUyM9GFEN09srFr/M3M3L2eOPzWMl9Yd53huKR4O1kyK9qNfsIckfUK0YJL4CZOL9HXG0caSvZmGWbN3bXIuno42xAfIxM2i6UI8nXjthnBTh2ESttaWzB/dzdRhCCEMyKwfW9944w00Gg25uTU1OEopHnzwQUJCQoiKimLPnj36bZcuXUqXLl3o0qULS5cuNVXI4hpYWVrQM9CNpMwilFJN2pdOp1iXnEvPDm74yfx9QgghRB1mm/ilpaWxevVqOnTooH/t119/JTk5meTkZBYuXMi9994LwLlz53juuefYsWMHCQkJPPfcc+Tn55sqdHENBnVqR3JuKWkFZU3az4HsYnJKK+kV6IatlfTvE0IIIS5ktonfvHnzePXVV9Fo/upLsmLFCqZPn45Go6FPnz4UFBSQlZXFb7/9xsiRI/Hw8MDd3Z2RI0eyatUqE0YvGqt/R3d06q/+eddqbXIOIPP3CSGEEPUxyz5+K1aswN/fn+jo6DqvZ2RkEBgYqP85ICCAjIyMy75en4ULF7Jw4UIAsrOzyczMNMIZ/CUnJ8eo+28tOtho0QAbDqczOuDyl+XVynPl/nQCnK0JtC4z+u+2tZFr1XikbI1Lytc4pFyNx5Rla7LEb8SIEWRnZ1/y+gsvvMCLL77I6tWrjXLcOXPmMGfOHAB69OiBn5/xZ55vjmO0dH5AjP9JDuRVXbW8Lvd+RbWWHRmJXNfdi/DOQVjIyMNGk2vVeKRsjUvK1zikXI3HVGVrssTv999/r/f1/fv3k5KSoq/tS09PJy4ujoSEBPz9/UlLS9Nvm56ejr+/P/7+/mzYsKHO60OGDDFm+MIIRnX14o0/TpBVWI7vNQzM2HA8j9JKLQM6ekjSJ4QQQtTD7Pr4RUZGcvbsWVJTU0lNTSUgIIA9e/bg4+PD+PHj+eSTT1BKsX37dlxdXfH19WX06NGsXr2a/Px88vPzWb16NaNHjzb1qYhGGtG1PdU6xU+HLq0JboifDp3B1sqCIZ3bGTgyIYQQonUwyz5+lzN27Fh++eUXQkJCcHBwYPHixQB4eHjwj3/8g549ewLwz3/+Ew8PWaO1penf0QMbSws2njzHnL7BjfqsUoofD2bTp4M7Xb2cjBOgEEII0cKZfeKXmpqq/7dGo2HBggX1bjdz5kxmzpzZTFEJY7C3tqRvkDs7TuejlKozovtqkrKKSCsoZ0aPQOxlmTYhhBCiXmbX1CvatrGhXhzPPc/ejMat4rF8XxYWmpr5AIUQQghRP0n8hFm5KdIHgC/21D8dT32UUny5N4MeAW6yPq8QQghxBZL4CbPSxdOJ7l5OrD/e8Imcd6UVciLvPKO7e+Jqb23E6IQQQoiWTRI/YXYmRfuSmFlEck5Jg7b/Ym861pYaRnfzMnJkQgghRMsmiZ8wOxOjfNEp+Dgh7arblldp+Wx3BgOCPYjxc2mG6IQQQoiWSxI/YXaifF2I9HVmeVImSqkrbvtVYia5pZVMivbF0dbsB6kLIYQQJiWJnzA7Go2GBwd05HjueX48cOay2ymleG9zCp08HBgX5t2MEQohhBAtkyR+wixNjfXHycaSD7alXnabdcm57E4vZHK0LwFu9s0XnBBCCNFCSeInzJKTrRV/6xvE6qM5/HHi0hG+Wp3ikR8P4etsy9RYv0ZN9iyEEEK0VZL4CbP1j5FdcbO35qEfDl7S1++/206RlFXEgwM7EuXnaqIIhRBCiJZFEj9htlztrXn5+lD2ZRbxt+VJ+uTv92M5PLziAL06uHF7vL/U9gkhhBANJMMghVm7u08Htp3K56Ptpzl8pgQvO1h5rIAgd3tevT6UADcHU4cohBBCtBiS+AmzptFo+HhKNN5ONny5N5NdJeWMD/dhdu8ODA5pb+rwhBBCiBZFEj9h9jQaDS+PC+Ol60M5eOIUXYIDsbWyNHVYQgghRIsjffxEi6HRaPBwsJGkTwghhLhGkvgJIYQQQrQRkvgJIYQQQrQRkvgJIYQQQrQRkvgJIYQQQrQRkvgJIYQQQrQRGnXxWlhtSPv27QkODjbqMXJycvD09DTqMdoSKU/jkbI1Hilb45LyNQ4pV+MxdtmmpqaSm3vpOvfQxhO/5tCjRw927dpl6jBaDSlP45GyNR4pW+OS8jUOKVfjMWXZSlOvEEIIIUQbIYmfEEIIIUQbIYmfkc2ZM8fUIbQqUp7GI2VrPFK2xiXlaxxSrsZjyrKVPn5CCCGEEG2E1PgJIYQQQrQRkvgJIYQQQrQRkvj9ycnJydQhXNHMmTPx8vIiIiLC1KE0mkaj4fbbb9f/XF1djaenJ+PGjTPI/hvyuzty5Ah9+/bF1taW119/3SDHNVfGLO+8vDyGDh2Kk5MTc+fObfL+WqKrXW9Dhgxp1DQNTz/9NIGBgWZ/D7qaF154gfDwcKKiooiJiWHHjh3XtJ8NGzawdetWg8UVHBx82fnMrsWYMWNwc3Mz2P2roTQaDY8++qj+59dff5358+c3awy1DHmtmvs9xdz/Lq8lN5DEz4Sqq6sbvO2dd97JqlWrjBiN8Tg6OnLgwAHKysoAWLNmDf7+/o3aR2PKqj4eHh68++67PPbYY03aT0tgiPK+HDs7O/7973+3+uS5Od1www0kJCSYOowm2bZtGytXrmTPnj0kJSXx+++/ExgYeE37MnTi1xT13Xcef/xxPv3002aPxdbWlu+++86gSawpXFymck+5lLFzA0n8LlBSUsLw4cOJi4sjMjKSFStWADUzYIeGhnL33XcTHh7OqFGj9F+qFz7d5+bm6lcCSU1NZeDAgcTFxREXF6e/kW3YsIGBAwcyfvx4wsLC+Oc//8nbb7+tj+Hpp5/mnXfeuSS2QYMG4eHhYcSzN66xY8fy888/A/Dll18ybdo0/XsJCQn07duX2NhY+vXrx9GjRwFYsmQJ48ePZ9iwYQwfPpySkhLuuusuIiMjiYqK4ttvv9Xv4+mnnyY6Opo+ffpw5syZS47v5eVFz549sba2NvKZmodrKe9BgwaRmJio327AgAHs27evzn4dHR0ZMGAAdnZ2xj8JM7Zhw4Y6NT5z585lyZIldbb5+OOPefjhh/U/f/TRR8ybN++SffXp0wdfX19jhdossrKyaN++Pba2tkDNqkh+fn4A7N69m8GDBxMfH8/o0aPJysoCau6dDz30EDExMURERJCQkEBqaioffvghb731FjExMWzatImcnBwmTpxIz5496dmzJ1u2bAFg/vz5zJgxg4EDBxIUFMR3333HE088QWRkJGPGjKGqqkof36uvvkpkZCS9evXi+PHjAFfc7x133EH//v254447LjnX4cOH4+zsbLzCvAwrKyvmzJnDW2+9dcl7qampDBs2jKioKIYPH87p06cpLCwkKCgInU4HQGlpKYGBgVRVVXHixAnGjBlDfHw8AwcO5MiRI0BNEnHvvffSp08fOnXqxIYNG5g5cyahoaHceeeddY45b948wsPDGT58ODk5OQBX3O8999xD7969eeKJJ+rspyXcU1pdbqCEUkopR0dHVVVVpQoLC5VSSuXk5KjOnTsrnU6nUlJSlKWlpdq7d69SSqlJkyapTz/9VCml1ODBg9XOnTv1nwkKClJKKVVaWqrKysqUUkodO3ZMxcfHK6WUWr9+vXJwcFAnT55USimVkpKiYmNjlVJKabVa1alTJ5Wbm1tvjCkpKSo8PNzwJ29kjo6Oat++fWrixImqrKxMRUdHq/Xr16vrr79eKaVUYWGhqqqqUkoptWbNGnXzzTcrpZRavHix8vf3V3l5eUoppZ544gn10EMP6fd77tw5pZRSgPrxxx+VUko9/vjj6t///vdlY3n22WfVa6+9ZvBzNCfXWt5LlizRl+/Ro0f112x9Fi9erO6//37jnoiZcnR0rFOeSil1//33q8WLFyul/ronFBcXq06dOqnKykqllFJ9+/ZVSUlJV9xvS1VcXKyio6NVly5d1L333qs2bNiglFKqsrJS9e3bV509e1YppdSyZcvUXXfdpZSqKafZs2crpZT6448/9Pe2i/9Gp02bpjZt2qSUUurUqVOqe/fu+u369++vKisrVWJiorK3t1e//PKLUkqpG2+8UX3//fdKKaWCgoLU888/r5RSaunSpfrf25X2GxcXp86fP3/Z8734998cHB0dVWFhoQoKClIFBQXqtddeU88++6xSSqlx48apJUuWKKWUWrRokZowYYJSSqnx48erdevWKaVqyn7WrFlKKaWGDRumjh07ppRSavv27Wro0KFKKaVmzJihpkyZonQ6nfrhhx+Us7OzSkpKUlqtVsXFxem/AwH12WefKaWUeu655/T3givt9/rrr1fV1dWXPT9zvae0xtzAqnFpYuumlOLvf/87GzduxMLCgoyMDH3tUceOHYmJiQEgPj6e1NTUK+6rqqqKuXPnkpiYiKWlJceOHdO/16tXLzp27AjU9D9p164de/fu5cyZM8TGxtKuXTujnJ8pRUVFkZqaypdffsnYsWPrvFdYWMiMGTNITk5Go9HUeVIfOXKk/mnm999/Z9myZfr33N3dAbCxsdHXvsTHx7NmzRpjn47Zu5bynjRpEv/+97957bXX+Pjjjy95wheN4+TkxLBhw1i5ciWhoaFUVVURGRlp6rCMwsnJid27d7Np0ybWr1/PlClTePnll+nRowcHDhxg5MiRAGi12jq1m7U10YMGDaKoqIiCgoJL9v37779z6NAh/c9FRUWUlJQAcN1112FtbU1kZCRarZYxY8YAEBkZWeceXXucadOm6Wtdr7Tf8ePHY29v39RiMTgXFxemT5/Ou+++Wye+bdu28d133wFwxx136GvVpkyZwldffcXQoUNZtmwZ9913HyUlJWzdupVJkybpP19RUaH/9w033IBGoyEyMhJvb2/9NRseHk5qaioxMTFYWFgwZcoUAG6//XZuvvnmq+530qRJWFpaGqFUjK+15QaS+F3g888/Jycnh927d2NtbU1wcDDl5eUA+iYMAEtLS311rpWVlb4qvXZbgLfeegtvb2/27duHTqerU43t6OhY57izZ89myZIlZGdnM3PmTKOdn6mNHz+exx57jA0bNpCXl6d//R//+AdDhw7l+++/JzU1lSFDhujfu7is6mNtbY1GowFqfjdN7Q/YWjS2vB0cHBg5ciQrVqzg66+/Zvfu3SaK3Pxd+HcPdf/2LzR79mxefPFFunfvzl133dVc4ZmEpaUlQ4YMYciQIURGRrJ06VLi4+MJDw9n27Zt9X6m9u/2cj8D6HQ6tm/fXm9TYO192cLCos59wMLCos594ML91v77SvttyH3HVB5++GHi4uIadD2NHz+ev//975w7d47du3czbNgwSktLcXNzq9Ot40IXlumF33sXl+mFNBoNOp3uivs15zK9mtaWG0gfvwsUFhbi5eWFtbU169ev59SpU1f9THBwsP4Lcvny5XX25evri4WFBZ9++ilarfay+7jppptYtWoVO3fuZPTo0U0/ETM1c+ZMnn322UtqPQoLC/WDDy7uJ3WhkSNHsmDBAv3P+fn5RomztbiW8p49ezYPPvggPXv21NeoiksFBQVx6NAhKioqKCgoYO3atfVu17t3b9LS0vjiiy/q9LNsbY4ePUpycrL+58TERIKCgujWrRs5OTn6xK+qqoqDBw/qt/vqq68A2Lx5M66urri6uuLs7ExxcbF+m1GjRvHee+/V2Xdj1R7nq6++om/fvgbbryl4eHgwefJkFi1apH+tX79++taQzz//nIEDBwI1NbE9e/bkoYceYty4cVhaWuLi4kLHjh355ptvgJrarIv78l6NTqfTf9998cUXDBgwwCD7NVetLTeQxI+aETS2trbcdttt7Nq1i8jISD755BO6d+9+1c8+9thjfPDBB8TGxtYZbXXfffexdOlSoqOjOXLkyBWfdmxsbBg6dCiTJ0++bFX4tGnT6Nu3L0ePHiUgIKDOH31LERAQwIMPPnjJ60888QRPPfUUsbGxV6yte+aZZ8jPzyciIoLo6GjWr1/f4GNnZ2cTEBDAm2++yfPPP09AQABFRUXXdB4txbWUd3x8PC4uLlesTQgODuaRRx5hyZIlBAQE1Gkua+1q7xWBgYFMnjyZiIgIJk+eTGxs7GU/M3nyZPr373/ZRPqJJ54gICCA8+fPExAQYLIpOpqipKSEGTNmEBYWRlRUFIcOHWL+/PnY2NiwfPlynnzySaKjo4mJiakzYtfOzo7Y2Fjuuece/T3thhtu4Pvvv9cP7nj33XfZtWsXUVFRhIWF8eGHHzY6vvz8fKKionjnnXf0gyOudb8DBw5k0qRJrF27loCAAH777bdGx9NUjz76aJ3vm/fee4/FixcTFRXFp59+WmcQwJQpU/jss8/0TbNQkxwuWrSI6OhowsPD9YMVGsrR0ZGEhAQiIiJYt24d//znP5u0X3O9p7TW3ECWbAP27dvH3XffbbIpFXQ6HXFxcXzzzTd06dLFJDEIAZCZmcmQIUM4cuQIFhbyXHixa7lXjBs3jnnz5jF8+HAjRtbyDBkyhNdff50ePXqYOhQh6tVac4M2f2f/8MMPmTZtGs8//7xJjn/o0CFCQkIYPny4JH3CpD755BN69+7NCy+8IElfPRp7rygoKKBr167Y29tL0idEC9OacwOp8RNCCCGEaCPksV4IIYQQoo2QxE8IIYQQoo2QxE8IIYQQoo2QxE8I0SZZWloSExNDeHg40dHRvPHGG3UmZTaGxx9/nPDwcB5//HGjHkcIIS5HBncIIdokJycn/RJdZ8+e5dZbb6V///4899xzRjumq6sr586da5alq6qrq7GyksWZhBB1SY2fEKLN8/LyYuHChbz//vsopUhNTWXgwIHExcURFxenn3R4+vTp/PDDD/rP3XbbbZdMUquU4vHHHyciIoLIyEj9qhHjx4+npKSE+Ph4/WtQM1dXly5dyMnJ0f8cEhJCTk4OOTk5TJw4kZ49e9KzZ0+2bNkCQEJCAn379iU2NpZ+/fpx9OhRoGYllvHjxzNs2DCZQkYIUT8lhBBtkKOj4yWvubq6quzsbFVaWqrKysqUUkodO3ZMxcfHK6WU2rBhg5owYYJSSqmCggIVHBysqqqq6uxj+fLlasSIEaq6ulplZ2erwMBAlZmZedljKqXU/Pnz1VtvvaWUUuq3335TN998s1JKqWnTpqlNmzYppZQ6deqU6t69u1JKqcLCQv1x16xZo99+8eLFyt/fX+Xl5V1TmQghWj9pBxBCiItUVVUxd+5cEhMTsbS05NixYwAMHjyY++67j5ycHL799lsmTpx4SXPq5s2bmTZtGpaWlnh7ezN48GB27tzJ+PHjL3u8mTNnMmHCBB5++GE+/vhj/ZJ5v//+e53lq4qKiigpKaGwsJAZM2aQnJyMRqOhqqpKv83IkSPx8PAwZHEIIVoRSfyEEAI4efIklpaWeHl58dxzz+Ht7c2+ffvQ6XTY2dnpt5s+fTqfffYZy5YtY/HixQY5dmBgIN7e3qxbt46EhAQ+//xzoKbZd/v27XWODzB37lyGDh3K999/T2pqKkOGDNG/d6W1P4UQQvr4CSHavJycHO655x7mzp2LRqOhsLAQX19fLCws+PTTT9Fqtfpt77zzTt5++20AwsLCLtnXwIED+eqrr9BqteTk5LBx40Z69ep11Rhmz57N7bffzqRJk/SDP0aNGsV7772n3yYxMRGAwsJC/P39gZp+fUII0VCS+Akh2qSysjL9dC4jRoxg1KhRPPvsswDcd999LF26lOjoaI4cOVKnFs3b25vQ0FB9c+zFbrrpJqKiooiOjmbYsGG8+uqr+Pj4XDWe2sEfF+733XffZdeuXURFRREWFsaHH34IwBNPPMFTTz1FbGws1dXVTSkGIUQbI9O5CCFEI5w/f57IyEj27NmDq6urwfa7a9cu5s2bx6ZNmwy2TyGEuJjU+AkhRAP9/vvvhIaG8sADDxg06Xv55ZeZOHEiL730ksH2KYQQ9ZEaPyGEEEKINkJq/IQQQggh2ghJ/IQQQggh2ghJ/IQQQggh2ghJ/IQQQggh2ghJ/IQQQggh2ghJ/IQQQggh2ghJ/IQQQggh2ghJ/IQQQggh2ghJ/IQQQggh2ggrUwdgSu3btyc4OBiAqqoqrK2tTRtQM5DzbH3ayrm2lfMEOdfWqK2cJ8i5moPU1FRyc3Prfa9NJ37BwcHs2rULgMzMTPz8/EwckfHJebY+beVc28p5gpxra9RWzhPkXM1Bjx49LvueNPUKIYQQQrQRkvgJIYQQQrQRZpH4abVaYmNjGTduHAApKSn07t2bkJAQpkyZQmVlJQAVFRVMmTKFkJAQevfuTWpqqn4fL730EiEhIXTr1o3ffvvNFKchhBBCCGHWzCLxe+eddwgNDdX//OSTTzJv3jyOHz+Ou7s7ixYtAmDRokW4u7tz/Phx5s2bx5NPPgnAoUOHWLZsGQcPHmTVqlXcd999aLVak5yLEEIIIYS5Mnnil56ezs8//8zs2bMBUEqxbt06brnlFgBmzJjBDz/8AMCKFSuYMWMGALfccgtr165FKcWKFSuYOnUqtra2dOzYkZCQEBISEkxyPq1BtVaHUsrUYQghhBDCwEw+qvfhhx/m1Vdfpbi4GIC8vDzc3NywsqoJLSAggIyMDAAyMjIIDAwEwMrKCldXV/Ly8sjIyKBPnz76fV74mYstXLiQhQsXApCdnU1mZiYAOTk5xjlBM3O188wprSLmwyT+Mcife3r6NFNUhtdWfp/Qds61rZwnyLm2Rm3lPEHO1dyZNPFbuXIlXl5exMfHs2HDhmY55pw5c5gzZw5QM9z5wmHY5jgk2xiudJ5pp/IB+PZoIf+aENdcIRlFW/l9Qts517ZyniDn2hq1lfMEOVdzZtLEb8uWLfz444/88ssvlJeXU1RUxEMPPURBQQHV1dVYWVmRnp6Ov78/AP7+/qSlpREQEEB1dTWFhYW0a9dO/3qtCz8jGkejMXUEQgghhDAWk/bxe+mll0hPTyc1NZVly5YxbNgwPv/8c4YOHcry5csBWLp0KRMmTABg/PjxLF26FIDly5czbNgwNBoN48ePZ9myZVRUVJCSkkJycjK9evUy2XkJIYQQQpgjk/fxq88rr7zC1KlTeeaZZ4iNjWXWrFkAzJo1izvuuIOQkBA8PDxYtmwZAOHh4UyePJmwsDCsrKxYsGABlpaWpjwFIYQQQgizYzaJ35AhQxgyZAgAnTp1qndUrp2dHd988029n3/66ad5+umnjRmiEEIIIUSLZvLpXIQQQgghRPOQxE8IIYQQoo2QxE8I0WIcyynhpsU7qaiWlXmEEOJaSOIn6pAFO4Q5u2d5Ej8cyObjHadNHYoQQrRIkviJOnSS+QkzVlmtA8DKQm5dQghxLeTuKerQ6iTxE+arUltzfVpbXjrTeGFZFdM+3c3JvNLmDksIIVoMSfxEHZL3CXNWpa2p8bO2vPTW9cTKQyxLggCobgAApZNJREFUzOTdTSnNHZYQQrQYkviJOrTS1CvMWNWfTyb1rSyYmFkEgIeDdTNGJIQQLYskfqIOaeoV5qy2xq++vqi1165cw0IIcXmS+Ik65EtTmLOqP/v4aeu5TGuTQbmEhRDi8hqV+JWVlXH06FFjxSLMgDT1CnNWWVvjV092V/tStWR+QghxWQ1O/H766SdiYmIYM2YMAImJiYwfP95ogQnTkBo/Yc6u1NT7V42fXMNCCHE5DU785s+fT0JCAm5ubgDExMSQkiKj51obSfzMW3mVlvc3p7TZ39NfTb3Sx08IIa5FgxM/a2trXF1d67ym0dQ3tk60ZNLUa95eXnecB74/wEtrk00diklU6Wpr/C59r/Y1uYaFEOLyGpz4hYeH88UXX6DVaklOTuaBBx6gX79+xoxNmMCfLWnCTBVXVAOQW1pp4khMo7L68rV6ta8t3HaaJ1ceata4hBCipWhw4vfee+9x8OBBbG1tufXWW3F1deXtt982YmjCFKSZzLzZ/DlxcVUbzdD/qvG7fB+/81VaXl1/guo2WkZCCHElDU78jhw5wgsvvMDOnTvZuXMnzz//PHZ2dk06eHl5Ob169SI6Oprw8HCeffZZAFJSUujduzchISFMmTKFysqa2o2KigqmTJlCSEgIvXv3JjU1Vb+vl156iZCQELp168Zvv/3WpLjastovT6Xg18Nn+GpvhokjEheytapN/Npmgl6b79X3fHJxE6+M7hVCiEs1OPF79NFHCQ0N5R//+AcHDhwwyMFtbW1Zt24d+/btIzExkVWrVrF9+3aefPJJ5s2bx/Hjx3F3d2fRokUALFq0CHd3d44fP868efN48sknATh06BDLli3j4MGDrFq1ivvuuw+tVmuQGNuaC788x/4vgamf7ZGaEzNSu0ZtW63xq3Wlpt5akvgJIcSlGpz4rV+/nvXr1+Pp6cnf/vY3IiMjef7555t0cI1Gg5OTEwBVVVVUVVWh0WhYt24dt9xyCwAzZszghx9+AGDFihXMmDEDgFtuuYW1a9eilGLFihVMnToVW1tbOnbsSEhICAkJCU2Kra2q7wu1Sr5AzYa+qbeN/07qa+q9uBZUEj8hhLiUVWM29vHx4cEHH2To0KG8+uqr/Otf/+KZZ55pUgBarZb4+HiOHz/O/fffT+fOnXFzc8PKqia0gIAAMjJqmhszMjIIDAysCdzKCldXV/Ly8sjIyKBPnz76fV74mYstXLiQhQsXApCdnU1mZiYAOTk5TTqPluJq55l3rgAAbXWV/rXsrCx9E2NL0Vp/n+WlJQCUlJa26Wu3uLBAf/61Kqqq6/ycmZnJefuWuW5vW/mdQts517ZyniDnau4anPgdPnyYr776im+//ZZ27doxZcoU3njjjSYHYGlpSWJiIgUFBdx0000cOXKkyfu8kjlz5jBnzhwAevTogZ+fn/69C//dml3pPJ1P1fSntLSyBioA8PT2wcm2Uc8IZqE1/j7bpVQCaVhY27XJaxdOA2Dn5HrJOVerfXV+dmvvhZ+rfbNFZmht53fads61rZwnyLmaswZ/m8+cOZMpU6bw22+/GeUk3dzcGDp0KNu2baOgoIDq6mqsrKxIT0/H398fAH9/f9LS0ggICKC6uprCwkLatWunf73WhZ8RjVNf1zFZCcF81DbFt/U+fvU39dYtk9qpb4QQQvylwe1327Zt4+GHHzZo0peTk0NBQQFQsw7wmjVrCA0NZejQoSxfvhyApUuXMmHCBADGjx/P0qVLAVi+fDnDhg1Do9Ewfvx4li1bRkVFBSkpKSQnJ9OrVy+DxdmW1NfHT7pKmY/qP6czkT5+l75WeUniJwO8hBDiYlet8Zs8eTJff/01kZGRdVbqUEqh0WhISkq65oNnZWUxY8YMtFotOp2OyZMnM27cOMLCwpg6dSrPPPMMsbGxzJo1C4BZs2Zxxx13EBISgoeHB8uWLQNqJpeePHkyYWFhWFlZsWDBAiwtLa85rrasvlUPpMbPfNQOYJAav7rXpFanLkkGS6TGTwghLnHVxO+dd94BYOXKlQY/eFRUFHv37r3k9U6dOtU7KtfOzo5vvvmm3n09/fTTPP300waPsa1pyDQZwnSq9U29bft3cvEDSn2JsCR+Qghxqas29fr6+gLwn//8h6CgoDr//ec//zF6gKJ5SVOveatN/Np6Lazuoovy4mZegNJKaeoVQoiLNbiP35o1ay557ddffzVoMML0amtSLvxaraxu282K5qS2j19T0r7l+zJJzikxTEDNSF2Q7F5c4VnfNVpSKTV+Qghxsasmfh988AGRkZEcPXqUqKgo/X8dO3YkKiqqOWIUzai2JunCGpXy6tZVc/LprjQ0j/7EmaJyU4fSaPoavyZUw076ZDddX15vqJCazYXJ3sU1nvUNdimrlAcWIYS42FX7+N16661cd911PPXUU7z88sv6152dnfHw8DBqcKL51baYXdh0VtHKavze25wKwKojZ5nRq4Npg2mkam1tU6+JAzGBC1fiuKSpt55rtLZ2VAghxF+umvhpNBqCg4NZsGDBJe+dO3dOkr9WpraPX2p+mf618qr6v0ALy6pwsrXC0kJT7/tmT2P+cVdW66jS6nD8cwLtqj+TmfpGXzfEhQlTaUUVjrYtZ2WLCxO/i5t661ueTZZsE0KISzWoxm/lypXEx8ej0Wjq9LPRaDScPHnSqAGK5lVfQlFfx/kqrQ63Z1ZxZ48AFk+LbY7Q2qRhH2xlS2o+utfHkV5QztsbU4BrH9xRdUEtWEZhBV29Wmbid8l0Lg1Yu1cIIUQDEr/aaVxSUlKMHowwvfpG9VbU08evsKxmLd/vD2Sz2OhRGZZq0tCI5rUlNR+AzKJyFu/8a3Uare6vuTQbo7L6r3M/d77qCluanzo1fhddp9X1JHlV0tQrhBCXuGrit2fPniu+HxcXZ7BghOnVl/iV19N/qrC8ZsSkg7VMlN0cqqp12Fj+leTplEKpxrdWX5jE55dVGiq8ZtHYGj9p6hVCiEtdNfF79NFHASgvL2fXrl1ER0ejlCIpKYkePXqwbds2owcpmk+9Tb0XJX6vrjvOkz8fBsDRtuUlfhrMv2/fxUqrtNhY/TUIX6eurd6y8oKasYKyllXjd2GPg4tzunpr/KSpVwghLnHV6VzWr1/P+vXr8fX1Zc+ePezatYvdu3ezd+9e/P39myNG0Yzqbeq9qI/fq+uP6//tYH3VZwez05KaemsVV2ixsfzrz7VmibLGn8eF/TULy1tW4ld1habe+mv8pKlXCCEu1uAJnI8ePUpkZKT+54iICA4fPmyUoITpXPiF6u1sC1w6ncuFX7GONi2vxq9WS6r3KyyrqpP46RRcy/iOCxO/koqWNT/jlZp66x3VKzV+QghxiQZX10RFRTF79mxuv/12AD7//HOZwLkVurDmxMXWijPFFZckfhd+xzq04MSvJSmqqK5b46fUNdVcXths39KWNKub+F30Xj0jz6WPnxBCXKrBNX6LFy8mPDycd955h3feeYewsDAWL25p4znF1Vz4ZWn952CCKu3Fid9f27TEwR0tcZnbwrKqOgM5dDp1TedxYRJvrkuapeSd5/djOZe8fqVRvfVP52Kcpt4f9mexJCHt6hsKIYQZanCNn52dHfPmzWPevHnGjEeY2IUd4mubBS/uJH9h4mdv3eBnB7PTAuZv1iuuqMbF7q8593Tq2ubyu7Cp11xq/JJzSvhw2yleGxeGhYWGkJfWolNQ8uJ1+omroW7id3Ft58XNuhaa+pdxa6oqrY6bluwC4PZ4f6wsW+71L4Rom66a+EVGRl5xrrCkpCSDBiRM68Jakto53y5OMFpLC1pLqvkrrqiu06yuVddW43dh4nfeTBK/W5buJimriCGd23FDuI/++jpTUkGnyyR+F1fmXVzjZ21pYZQ+fsdzS+vEY9XyKryFEG1cgydwrl2y7Y477gDgs88+a/TkscL8XVi7Z/XnUmwXf3/qrtDXqiVQF/3fnLnbW5NfVkV2cQUeDjb613W6a5zO5YIJnM1lDeba0bcXJ6KWF91fGjO4w8pCY5QJnLVXiEEIIVqCq7ZTBAUFERQUxJo1a3j11VeJjIwkMjKSV155hdWrVzfp4GlpaQwdOpSwsDB9/0GoWQN45MiRdOnShZEjR5KfX7N6gVKKBx98kJCQEKKioupMLr106VK6dOlCly5dWLp0aZPiasuqdDo6ethzZ48AHhncCbhyjV9L/vJTLSD22nWQ0wvKL0l8mlrjZy6Jn8WfCd7F52NxhcTv4hq+2oTsqeEhvD0hHBtLC6MM7rjwuC3xoUcIIRrcQUUpxZYtW/Q/b926FV0Tn6itrKx44403OHToENu3b2fBggUcOnSIl19+meHDh5OcnMzw4cN5+eWXAfj1119JTk4mOTmZhQsXcu+99wI1ieJzzz3Hjh07SEhI4LnnntMni6JxqrQKG0sL/jspmsGd2wF1a/igbrLXkr/8WkLstclZRmFZnWZ47TX28bsw2SuvZyk+U6jN7y6uobO4qEGhTuJ78ZJtf/4c5+/KQ4M61SR+Rmjq1dWZRLoFXEBCCHGRBg/uWLRoETNnzqSwsBClFO7u7nz88cdNOrivry++vr4AODs7ExoaSkZGBitWrGDDhg0AzJgxgyFDhvDKK6+wYsUKpk+fjkajoU+fPhQUFJCVlcWGDRsYOXIkHh4eAIwcOZJVq1Yxbdq0JsXXFlVpdVhZWGCh+au26eLalbqJX8v78qut6TNkjd/za45hodHw9xFdDLZP+KuGLre0Sp+oxfi5cLqgjLzzlfqR143dn5WFhvIq86rxu9K0QQDVuiu9V/NCbfOwjZXGKDV+F17vLfDSF0KIhid+8fHx7Nu3j8LCQgBcXV0NGkhqaip79+6ld+/enDlzRp8Q+vj4cObMGQAyMjIIDAzUfyYgIICMjIzLvl6fhQsXsnDhQgCys7PJzMwEICfn0ukjWqOrnWdJWTnoqjiTnUVufkXNa0WF+nKCuhMfl5eV1XnPXFzpPKuqalasKCw4R2bmXyNly6p02FlpGt13tbxaxz9WHQVgRqgD29NL8LC3olt7+2uI/C9KKX0yVFFVRV5+EQAhrlaczNPS+cV1hHjYsnycd4P3mZ17DgBnGwuKz1/77257ejGxPo7YWjVtVGtppZZ9mTXnlZeXV+f3kZWViWXZX2WYl1+g/3dZ2fk6sefm1ZxXWeE5MjMVFkpH6fnzBr82z+T8NbgjOyuT0gtGWhtSW7kfQds517ZyniDnau4atd7Wzz//zMGDBykvL9e/9s9//rPJQZSUlDBx4kTefvttXFxc6ryn0TT+i/hK5syZw5w5cwDo0aMHfn5++vcu/HdrdqXztLBKwc7WAn9/f8ptS4GD2Dq61PmMjdVeyv6sLbKytTPbcrtcXNbWyUAZji7u+m3OFFcQMn81z1/XjadHdG3UcXalFej/7e3jyy1v/gyAeuMGol7fwN/6BHH/gI6Njv/CyZZ1/9/edYdZUd3td8ote7fvsmylL71KE7EiIooGY0ONNRgxicYkRqORTxMTo1hijImJYtCoiT0qGhV7V0DBCkpdyla2l7u3zpzvj5kzc6bde3fZZRd23ufhYe/cKefMnDvnPe+vgYcvkA4OQFZmOgjaAMjY3hRBQUFBys/gl3/aAADIDngh8WK3nt1X1W0486kNuHhmGf513mFdPp7FRY9/rv0tpmer7VHbmF+IksIM7fv0rc0AGpR9vcZxl1mj3KvcQYNQUlKINN934Dy+Hh+be2O6C0lBUbEh4Kan0V9/V72BgdLXgdJPwO1rf0bKy/Uf//jHeOqpp/DXv/4VhBA888wz2L179343IBaL4cwzz8T555+PM844AwBQWFiImpoaAEBNTQ0GDx4MACgtLcXevXri1MrKSpSWljpud9F1ROMyPKqJl5p6EwZ3HAyOcg5g+1XdqixmHv20ssvnCcd0X7nim9/Qzy/L+LqmHVc+/0232seaPuMyQVSSIfAcBI7bbxN7pk9EJC4nfH4rP9mN17fss2yvaVPu1bf7OvarDQCws1FX0CImn8OoKWcL67NnNuPS4A46dnvNx484+xm6cOHCxcGAlInfxx9/jEcffRS5ubn47W9/i08++QRbt27dr4sTQnDppZdi/PjxuPrqq7Xtixcv1iJzH3nkEZx22mna9kcffRSEEKxduxbZ2dkoLi7GwoUL8frrr6O5uRnNzc14/fXXsXDhwv1q20BFVJK1pLTUX8o8v0kywQ9nDcGo/MBBESDhBLbtWpWSbgQssYmCG4JR7e+mzlj3GwedCHFQfC/jEoHIcxD5/fdfK87yIxyTE57n8me/wsKV6yzb16hkUOzhdE5mHz+W+LWFY4irpEvkOUvlDtoPOnY9An8A0rn0+On7Lb6qbsOa76yLABcuXBx8SJn4paUpvjaBQADV1dXweDyaKtddfPTRR3jsscfw9ttvY9q0aZg2bRpeeeUVXH/99XjjjTcwevRovPnmm7j++usBAIsWLcLIkSNRXl6Oyy67DH//+98BAHl5ebjxxhsxa9YszJo1CzfddJMW6OGia4ip5ALQFb/v9nXg27p2bR9JJuA5ZXI1K0/b6jvA/eolbKxsOWBt7i7YptP8heYqJakg6pAWZV+H4iPZ1QAM7bxqW9I8gkHxE3muW6lYKGn58RHDUJTpQzguaTn0UkVdewT3vF8BABC62S8nmPtE2/biN7XIXr4Ga/cqY9An8hoJpKB9E1nFT9323Fc1yPjNK2gNdY2IV7WGEIwYy9qxZG8A8T5M/dN7OPnBdQZ124ULFwcnUvbxO/XUU9HS0oJrr70W06dPB8dxuOyyy/br4kcddZRjZOVbb71l2cZxnJZI2oylS5di6dKl+9WegQxCCK5+cRO+qW3HCaMHAdCJ37Nf1eDZr2pA/vQ9LXGwwHPgOasZ+OVvFVXg9re346mLZh7QPqQK2mS27RFans5Bxnlw7W4se+YrNNx8IvIzfNr2ps4odjR22h6zs0nZ7u9meQdKZnwij7ZIXFP8BFOek1Sjk0PqpE0DMsLxxIqfHViSK5rzrewnzKZnSnzvem8HAGBrYwiA0n4nxc+rKn5egUN7ROnvBY9vRCgm453tDfj+5OKU21P2+zcxpTgLX15zrLatqxHtm2vbMaYg/ZAp7VbTFsaI/PS+boYLFy72Aym/jW688Ubk5OTgzDPPxO7du/Hdd9/h97//vfb9G2+8keBoF/0dwaikKTl0QjdP7IQQLbULzykExMwbijIVUtS4n2bOAwG26dSsGjPXAlNx93s7AQBvbW8wbB9929u44rmvbY/Z3kCJX/cmfXqvKdGJSrIt8UuVu7HEL80joKkzhic/t49+NxMrCtZ8SvfZVt+Bu9/bsd9qUDguG3IL0mexRfUlpE3y2xI/ZV96b3h1bBJCtECkrlimKZn+qqbNsL0r/q07G4OYeOe7uPK57vl49kdUtoaT7+TChYt+jW7NSD6fz5LO5brrruuRBrnoe5hNvRRxmWgTrsBx4G2CDLL9iojc3BlFT+LNrfXojMaT79gFsG2nOe2cTL167j/j9kR+fLVqEESap3uKH20fVbFCcUnz8WPhRNLMoCXRfCKv1f29/NmvbZ9V0OFes4pfh6qoXfTEF/jVi5tx02tbUmqHEyJxWSNpgP4sRF7pf6dGXAVLn7XgDsY/1VLdxHSbYpKMy5/5EnubQ5a2mANLKNgxk8yHsEolSev2HDrJ5Pe2WO+VCxcuDi70mP3hYCh/5cIZ7ERqDu6giEmyTvy06FLTedTPXVH8CCH4cGej7Rhq7oxiW30HFjywFmc/uiHlcya8nvo/23bqX+ak+FF0RdWqVwM9/J5uKn7UfCkqz6EzSn38jOczJ9h2gqb4CTxy05h8eW0Ry76vfKs78ssyQU1bGP9avxetYZ0QdkTikGSinXflJ7vRsh+EPxKXDfV6KbHyqr6EnSopTPPwlj5rwR3qraFqtEHVNT3bN7fWY+XaPTjv39ZxRUktYPxtSAZTdOKxohPXg7+mOV0o1LiKnwsXBz16jPj1ZK49Fwce7ESqK37GfWIS0SZYnlf+mRU/OjG2dMGR/nevbcXR932M/22uM2wPxSTk3fgaFj+0HgCwoyFod3i3QRx8/GgfYpKM/2yoBCFEIxChLgRV0Ajf/fbxE5TjQzEJIs9DNAVVlN/7BS57+suk56Nqml/kkc/kn2OVK3pPzvu3XgdbIgR/fm8nfvjUF/j9G0okf8AjoDMmISrJCEbj8AocWsNxvLnNaAp36tfvX9+K0ptfR127TjrbI3FN1QN04uQVqeKntNPOx08L7lDvDa8pflafQYpEQmkHE9TBkn12vCereBdjqqQc7EhTn0FH1A3ucOHiYMeh4XHsYr9hUPwcTL0xSdYIosCpip/DBByOySmrwH9SnferTWrC5lolivO7fT1L+CjsFD/qSwcAK97ejgse/xwr3t6u7dvZhYmvsQuK35tb65F1w6sGxYzyFJ+q+IViEgTeSsgB4J/r9uCBT3bZmi0pQoypNC+gK36079/UtIG/5n/43+Zaw3F//bAC36jPgu2TpJLkYFRCUaYfgDGdjRN+//pW/Pa1Lahui2A7ExjTGo5pbQSAuEQVPyPxo1HO7PiiCxKPqoYKasoXg+IXk3HfhxXYpPaFkji7RWuQec4sCWTHTLII8JhGRg/+1yx9F3QnmtyFCxf9Cz32Rho+fHhPncpFL+K7hhC+MTmsA0biR9OPmE29nTFJ24+nxM98HnUyjUgyYhJBJC5pE7gT6CRrjjA1O9b3lKpM+QIx+PjpE31bWFEra1UT6A2vfIftqtoY6oKpt1lVPVMpa/bb17agPRLHf7/SUyRppl7q4xeTbE29FD9+9msc+bcPHa9B2+738MhP1xU/SmY/26uUY/z7R8bE7L96cTPeVoNa6MTvFxVzq0wIOqMSBqnna48k98N8/hv7NFAtobjJ1Ku7FQBAKK4Hu8RlYiBhZsVP4BSSxi5MYrKMK5//BpPufBeAPg7shlUH4+N4xzvbtb8NPn6mcf3GlnpMvetdRNT7TP0hPYeA4kffBWGX+PVL7GnuxAX/2eim23GRElImfs888wza25WV8i233IIzzjgDGzfq5qDnnnuu51vnotsIRuKGqggU8x/ZjMl3vYewSbkymnp11YRFayimkTNBjS51UvwAJdLSf90rOPpvH6XUZjPx29VkVK962o+U7TOrZHxdrYxzs0kV6BrxoyQoFVMf3YPtoZ7ORTH1huOyYupNcL69Lc4+WNRM7RN55DOKH1W0CjIU8vaqTaJeen/CcaO5lRBlQUCJX0cKxG9znbHiR26aByPzAmgNxwzEkSqvLNkSeA5eQbm2bFL8OOhjV4nqJYY8hewzDsUk7Xgexvv58Po9eHGT7nbwQUUT2sIx7GgIGsimOZfgT/77Fb6qacea75TanT1t6n3uqxpwv3ppv/wouwteU/xcYtEf8eNnv8Z/NlbhgU/2v5qWi0MfKRO/P/zhD8jMzMSHH36IN998E5deeil+8pOf9GbbXOwHvvfQeoy69W3H5MJPfFGFv7y/UyNTdqZes8LWEo4zUb16ygwW7HmoKWztnpaU2mwmfqmYlSSZaOk+ugp23mYd/6nSaFY8Ad3cmAjnHabUbWxTAyF4jsNbW+vx65c2AwBWf1OLu1XzdiJQYuplTb2cNao3VVA1LeARDIofVVxTEVTpxO8XFXNrJC4hJhGN+AVTMIWb/fNOGluAE8cWoDUcMyRZpiXX2NJrotp/yRSxG5cJBJ7TKByN6mUVKlYNaQxGtbFr7vfSp77EH9/cBgCYXJyJTbUdOPwvH6D8trcNxMes+NGI4qik7EPHlN0Cojv43etK1DQl5hv2tuC+Dyt65NypwjX19k/QNEjeHk6q7uLQRMrET1AdzF9++WUsW7YMp5xyCqLRA7/ydJEa3tneCACabxYAQzqUFzfV4RerN+GNrYo6wc5hZqWPojUU0029TM1YVomTEpjCnEAnXnMViVRKbt38+haMu/0dbKxsTelaLOx8/AAlKTNgfx9SUfwyvEpKG0r8ZEJwwgNrcee7O7C9Pojz/7MRv3pxM678r57/j5JslszQe02DQ0IxGaLgbOpNhI5IHK2qCTvgFZDHBHdQs6bTIoEFTXvj9/BoDcfxqxcVMtsVxc+MNK+AQeletITiWL+3RdtOFwIGNVrgtJJtVLF74JNdqGjqVJOK6/6pEgEiccacz/QvJsugHoCJCO/IvAA6Y5LmZ8oGo1iJn3IiGkRCiXZ3npcdWDcLAJh5zwe48vlvtPHam6BjwyV+/RM0cMt7CPiTuuh9pDxKSktLcfnll+Opp57CokWLEIlEIPdCLUwXPQtWodjNOP7TPG00+tYuqteMjqhkCO7gVT8qg/LCqDOdKZpF6dXiJmf5VMqnvblV8T37oqo7xM+axw/QIxftFL+UiJ9PIX5a2hhZfyGv39OMycVZAIAXN9dq5IFeig1H0H38dMXPY5PHzwlfVbeBEAJZJsi84VUse+YrAEC6V4DAc/joyiMBKATl3e0NaDORtsIMr+WcVMWiuQn/vbFKO2fAI3Qr6jNNFHDMyHwAwL8+3attp/1nx4XAcRAFHpKsPL+69gh+/OzXeOqLakTisnYfBY4DIcSQEJpV/OJx3UeQT8D8WGUUMC4WzAo1VfzoNelYSfa82sKxlEoc6sTPfHzP5re0A33uro9f/wQd206Vh1y4YJFyybann34aa9aswTXXXIOcnBzU1NTgzjvv7M22uegB0BX6M19W4xFmUqUrRDqpGvP42U9UMUm2+vgRY+QkSyBTnZA4jgOYqiAUyfKkKf0wliHrCgym3risKUlUtbK7D6wp08nn0Cfy8PCc9hKWCUFRlg97mkP4sqYNkrpg2tcRRTASR07Aq5FfQ8CCZupVo1qjagLnJOacmCRj7e5mHHPfxxhbkI7TTWXKaE62dJ/y/18/3IVtDUEcOyrf1A9rGho9uMP4nd/DI9MvWhS/6tYwCjK82NMcQl17BHNHWGtop3l5LBhbgHSvYMifZ6f40VrF1L9wd7OxXB69MzyvEG5WxTQrfnTMs3fT7LNakuU3fDb7FbLQgnCiynU6UyR+Zz+yAa9vrUfD709EfrrPcT/Kf81ze3fGflfhKn79GyFTQJELF4mQEvGTJAnTp0/Hd999p20rLi5GcXHqdS9d9A3oZLfElPy40xRJy05oM8tybM8Vk4hBdTDmSlMmN5ZA/vyFrpWqMk+kqZiKaf+64tlCqaqs/r+jIYg/v78TcZkg06erVnYTNktmX9pUZ/keUEx+aV4BMcbUW5ypEL//bKhChkq4InEZtR0R1AejWpUH9sVNn4lPJRQEiqpkp0SyCMdkVKpBHlvqg1jx9nbD9+mqKTqgqnbb1Ijlhg6jyZC203hu5d6kmVLUpHkEZPtFAzHujMZR+vs3cN5hJXji82rl+BWLLOek6qFH4AzHa8TP5H/q4TnEiaLY7Talr6FBCAKn+AGGnYifRHS1lTmeVanTvYIW8ELBcn0nUy89h1aFJMng3Kiq1Wt3t+CUCYWO+7H5JVmkUjN4fxHVFD83uKM/ggZupepe42JgI6WloiAIGDt2LPbs2dPb7XGxH9jXHsFd7+ww+PxEHEyT9AUumSbXFYvG4fwZZbbHsCqJwNTqtYtEBYC3VT9DJ7yxpR7/3lCpfTabes2Kn930Rle6ZtKYCuh8ed9HuxCVZOQHPMj0iQiqqpWdjx+NOt3T3InTHv7U9rwiz2mkClAUGmpKbghG0R6JayrNrqZOjFnxDnao+exYUw3tvpdRdETBWqvXjKgkI91rnzSa54CAStoCpn3MZdoGpVtNvfQRmcvQ+UUe2X6PQfFrCSl/s1VAWB85CnqvzP5JmqmXuScCr5h645IMmRDsajIqfvSZCrxi6o06BHcoxI9Gd+jHs8RzULoX2X49+hkwqo/m8UpzCNIxSRdXyUrq0ZyKjUlyINJrx2ViUCZTUcb3B8q9Vv52Tb39E3RsRyQZDR0RrP6mNskRLgYyUjb1Njc3Y+LEiZg9ezbS09O17S+++GKvNMxF1/HsVzW49n+b8dGuJm2b04varPjRSYVPQCriTOUOxZEelnqoqZQPawvHMPyWt7Q8d1RZsyp+yc9FJ9lU69WyoEoJVWjuP2sKfvfaFkcfv+F5aWgNxxS/uQSX8/C84uenkhyJELSogRURSUZzKIZhuWnYWh/Ej57+ynAsu2LX07kwxI9PTvzM5ncWPpGHRw3UMpM3c0RuohrD5u9G5acj2y+iliF2NB8iq5yay6ax53IifnaKn6T2kV7vexMKMaMsW7tXPKcEd4RYHz/mtxCXZY0wsT5+LPnND3i12tPaccyYNPtTsdHXyvVSJX5eAEE0JgnS0BU/YvDHjMW7Pva7Ata865p6+yfYWuPff/hTfLSrGVuvn4fRBRl93DIX/REpE78//OEPvdkOFz0ASubqO/TJNxgzqjjU90xXyvSKFUBiR3daqYHup/v4KdvYqF8AmFaShS+qrcmiv6xu00gfwAR3mCbIVJQMOpl3RfGj3JQeEopJKM704cSxBbjn/Z2OkamTi7LwRXUropKMRPxWFDjkMbVwCSGGGrehmIxhOQrxqzJVK2HJLiXRrD9dKqbewb99HQvGDLL9zifqeQB9JqLVYVL8Et1T1tSbH/DgqJF5ePjTvdjRGISkplahfWYrV9jdW3ouC/FjFC4KjlPuAQ3uaA3FUZDuxb/Om2aIVKZjky3TZvTxIwzxY+4B42OYn+7RAnX04xjyaDb1qoofJWXRuN5+Qgie+7oG359UbCHuKSt+mgIqG9Le9Lbix57fJX79E3SBE5VkzXqws7HTJX4ubJGyV/Cxxx6LcePGob29He3t7Rg/fjyOPfbY3mybiy7g6S+q8c4OJcJ17e5mbXtnxPiizvRSc5SRMNF3e6K4gbisB2DQ1BmyrBCpL6tbkfN/a/DoZ4rpdkpxpqPvkWUzk84lLskaKTUrflvrgzj5wbWGbXSlm4rSaG2HckwoJsEnKoQqO82DYFSCLBML8SnO8qEtHMfupk68tsWa5JjCw3OGkmiSrJiI2SjZoblptseyxMJO8fPwnOZLlghvbLWvmesTBS04xGMiWnRMCByHnDQRh5VmO56fNWWPzA8gy+9RTb2SFkneaqP42UX9UnJl7pcWeESIRpbaI3F4BDWdi0zQGo4hwydYSCNNNcS6OhhNvbJGzFhbL6v4Zfs9FmWTHZPm8UHv6z8+3o33tjcYFlWPflaJsx7ZgJvVXHwsclRzcmNn4vrWdIxbFD+1TZUtoR5Pcg4YyV6Yqd7jov+AjoGoJDtaUFy4oEiZ+D399NOYPXs2nnnmGTz99NM4/PDD8eyzz+53A5YuXYrBgwdj0qRJ2rampiYsWLAAo0ePxoIFC9DcrBAZQgiuuuoqlJeXY8qUKYbKIY888ghGjx6N0aNH45FHHtnvdh1sOOexDZovFcuXzM7Y1GE/ZPbxo6beRIofIUYfP06P6n17m5pWRVX4vALvqA44EUJJJphz74fIuuFV1LdHbB2V13xXj3ZGPaNqhNnfKhVofksxGV6Rhyhwio9fTEJUkg15BR88ewoKMnxoj8Qx7x+f4CdMDj4zRIFHLqM+baxqhSQTjMgLaNty0zx2hyKm3jNZ1lORsLV+RZ7D8aMVNW9sQbr1BEkgcDoRsyOQHIAt18/Dp784GrcuGofbTx1vex6WEJ0/XfEJzU4T0RGNaypbq01Ud7vNtkyV+CVS/ChpbgnFIQp6Hd7WcAwZXtFyLM8pUb2sadlo6rVX/Fhzt1/kLUEsdqZ4/Tv98yOfVWqfJZlgR6M1DyAF/cmlrvgRk+In4cOdjRjyhzfx4Nqer9wQMSml5nybLvoWBn/PONEWIG6ErwsnpEz8/vjHP+LTTz/FI488gkcffRTr16/vEfPvJZdcgjVr1hi2rVixAvPnz8e2bdswf/58rFixAgDw6quvYtu2bdi2bRtWrlypVQ5pamrCzTffjHXr1mH9+vW4+eabNbI40GH28aOKH52UzJGTifzHJEYF43nowR2EaCZLGlTgE3lHE5R5IcqaejdUtiIuE3xW2eJ4vF1i565MRvTyMqP4+VXFL80jIBqXDX0FgB/OHoocvwcyAarbjJP3g2dPwewhOdpnn8DbErtLZg/R/k5zCL6gfmOXPv0lznpEicRmSZZH4JEX8CK8YhH+fNrEpH09Zfxgw2dJJo6VWZTzc0j3CigflAGPwOP0SUW256WEaPbQHPzo8KEAgCyfiFBMRkglT5ScsOZdu8VAUaaSwoQGsWiKhaSTYDbQhI3qbQ3FkeETLSRWUP0AzWoVRVzSiR97JEv80jyCRfFjx4TFNSEuozTbD4/AISrJ2jiNE6KZkAM2fpP0t9iQqo+fLBsUv46ohKPv+xgA8PGunn/vsbkrZZkkdHNwkTrW7m7uVsJzQBnLP/3vV2joiFjKHNKE4a5Z3oUTUiZ+sixj8GB9EsnPz++RBM7HHHMM8vKMub1Wr16Niy++GABw8cUX44UXXtC2X3TRReA4DnPmzEFLSwtqamrw2muvYcGCBcjLy0Nubi4WLFhgIZMDFeai3Zle+4nMKTksC9bHT0/grEwElPhlUfVG5BlTmjHnnVnxo/Mnq5i0hmKOwR0r3tqOMbe9jbn3fmhomxmRuIQfPfUlqlqNKT8o82N9/HwiD4HnkOZRlMq4TAzXp9/Z4YQxBfjRnKHaZ6/IIzdgJH5pHh4j83SFLuARsJQhghSUjLCJjNNYU69KcHweAYMznHO+URSY9onLJGElCZHnDeTfrhIAzwF+lcDwANLVZ56dRk2WCoGhil+rjULLolAlftT0TBcPUWZxkh9giZ9aq1dWAmUyvIKFxGo+fmx9XgfFj3UT2MAkUvZ7eEu+QlbxM4/jqCSjMMOLdK+gED+m/dSE7LchfrQdTSmaeuOS4tuot1lPXs76OfYUqAuAT+QhEXJA0scc6qho7MQR936IpU990a3jn/myGv/4eDcuffpLLQk/oIxPunCyC6Ry4QLoQnDHSSedhIULF+K8884DAK2CR2+grq5OyxFYVFSEujolX1pVVRWGDNEny7KyMlRVVTlut8PKlSuxcuVKAEBtbS2qq5X8YvX19b3Sl75GS2ur1kcA8MG4wmxrbUF1dTXq6pXSbp1tLYb9zfvW1Ssvk1B7MyLhEOLxOGpra7C7QTHxRuPK+Uk8hnBMfyFVV1drk3NDgzHgg5LP2mZ9Aquqq0dHyBj4QHHnu0qdW5p/DgBaW43trq+vx5ptLVi1fg+21TbhtHH54DjgnEmDEI8r7ersaEN1dTXaOsNIE3nU1NQgHgkhEpdQU1ONlja93F11dTXCQf0zxaXTBoELNqOjTW97uL0FvCmoRuQAKairMXKoDX84uhjPfVWNlrBOzt/eUouy3xnvfzyo3694OKT1s6XJRGhN4DmAjyn3sChdRG0wjvZIHPV1NbZqH6BEODfU1SLWppK4DqsKJXAcwh3KvYjFolp7SFipmXzLq1/h7pNGorLeqj7ta7Sm+Ak21aM65AEk5bmkCUArgNY25flIMkE6zwTHdCrXqa6pRXNnBKNzRMuY7QwGIcsE9U16hHswpCu1jQ31aGpR7t+r39Xj+L++h3+fORpPb9QJNyKdaG0yvhfa2vW60K0tzaiu1ol1e2cYIAQeDugIBhGT1Qk4HEZ9i7KPHGq3tLUtqDjj17eFsKeyCiLP2b6PqALa1tqCPXH92Uc79PHhiXc6/n67iz01Sp/TRA6xuISampqEEd9dxaH67jWD7efqTcrvoLbZOh5SQVNzCwAgGOzEtr368W3tHSCS8ltpbGxAdXXPPaeuYKA8U+Dg7GvKxO/OO+/Ec889hw8/VFSWZcuW4fTTT++1hlFwHOc4SXUHy5Ytw7JlywAAM2fORElJifYd+/fBB8Us6Bd5g3mX86WjpKQEHmEjYhLBj2aV4MPqXZp64EvPQklJCXI7lMGbnZtnug964mdvehZychV1Nic3HxnNHMAHMbiwGDGuAgAQJxwEDsgI+BGT9RxrRcUlmpKU02Y/7DpkZntaFsBbI4Kd4EvPwmuVcRwxLBfjCjMBAHnq9Yjgxa9eV3yffrFgMkRxK4AwfIFMlJSUII4tyAj4UFJSgoKcVkSkejQiEy1x5Z7cctJYlJSUoLhWBmD0oTpsRBGGDSlFfp3+3aBB+SgrEoD39ByFXlHAyLJiAIpz/+BBg1BSUoIs/2a0hPVJfFO9lewWFAwCoOTQzMjI0J5Pu9gBYLPzPRF5DMrJAlCPkQWZqA02IyoRlJaWMnttsBxXXFKCHFW983ZEABj9Gb0ij7y8HACV8Hp9WnsuzMrH1a/tRk2IQ0lJCQSflfh5060BI0PLSpHuE5EZ2A2gA+l+LxCMg/cFUFRUDAKgMDcLCh0E8nKyAdQge1ABOqKbkZ+dYfntZme2QsY+eNKytG0xxsARyM6Dl3EHeWdXG/ILCrGr9XNtW25ONkaUlQDQU+54/LqfZlpmjvG6wnakiTzSwjI4jx8CrQwieiEJyv30ZWRZ2sqLyrhpicjIzh+sKafm/WSyUb2HWeCZNDNCIFPvl8359xcZ6rsh3eeBJBMMLixGpj/lqSMlvFElYV55PobmBpLvfBCDPpvKz5SxN77E/L5NDYNqZAC7IHj98Gbkatt5Xxr8PglAGN70nD6d0w7u+bRrONj6mrKpNxgM4rTTTsPdd9+Nyy+/HIIgIBZLbJroLgoLC1FTUwMAqKmp0UzMpaWl2LtXX5FXVlaitLTUcXt/wNrdzeB+9RK213ck37kHUJDhRQHjD6UFCIgCzptWgnkjcw3+UGZTb6LyUpIpqlcP7iCaOSgqyeB5DiLPG0wNrKnXyemYdW7vjCoBFqlEsAJKROTSp77E/Ps/0baxJdO0bRIBtfWyPn60PJnfI0CSCY667yM8+1UN8gIe/PTI4cp3NiXM6P0STebRReMHY+nsIVr7RZ5DTpr+XOjEaU6ibIeAx2rqpddJBJ/Ia35zQ3Lso4jtwA4Br005MCWXnrKdfTqDMnxYMKYAjUEl16FdreZQ1OrT5Ncqd/B6uwUOMUnWxhsbgUzvdTgmIxyXbf3mBF7xR6NBTB6BM0b1yrIleKiqLWzwi/KJvCGwBjCaes0+fpG4DK/AwycKiMVlQ3AH9R20C0Kipt6IJCdMkKy7RMiGdEidNtVOehL0OaZ7BTWopmevUdcRwyVPfoFht7zVK1HJ/RH0niYKpksEuohWUkUxgT5x19TrIjlSJn7HHHMMIpEIqqqqcNJJJ+Gxxx7DJZdc0iuNWrx4sRaZ+8gjj+C0007Ttj/66KMghGDt2rXIzs5GcXExFi5ciNdffx3Nzc1obm7G66+/joULF/ZK27qKx9Ui9vd9tKvb5/iooglXPW8tf3bpU1/grH99aojqMpMBPbGnDFHgwXGcYR/NgT6FqN446+PHc0o9VKKkZ6GTT1Qi4DmlnipL8NjXuVPQBuvj1BmNIyYRS645J3yulr2iE/eWhpCWWoadC6OSrLWFzjGhmAy/SnDSTOROVNPWANYyZYCewoPNrecTlfu86pxpOFUtwSUKPNI8Arzq/povZArENs2jqyusfx5NGOwEttYu9RO0q8ZhBtsXlnBxzDZKCM3DpTjLh8bOKCJx2UBIKEImMnjlkcO1SYyOS5Hn4BMFRCRjpRhzm6hjvF1NYRp4RMlepk9EZ8zex49ip5r/zKcFmfDwCryB1LNJm82+bpG4DFHg1MAmPfo1LhNLwnQW9Hei+NA6T9b0yLhMsLdFV4nZe9obqVbooi7dK1gStu8P2sNxfF7ZinZmnNhFgh+KiDDPvDug7ySJGIPQYpKs/Z4ibnk9Fw5IWa8nhCAQCGDVqlX4yU9+gl//+teYNm3afjfgvPPOw7vvvouGhgaUlZXh5ptvxvXXX48lS5Zg1apVGDZsGJ5++mkAwKJFi/DKK6+gvLwcgUAADz/8MAAgLy8PN954I2bNmgUAuOmmmywBI32FEXmK0lLVZu+vlgqO+ttHAICrjh6O8kF6Qs6H1isqJ5uyxSvwBpJFXzBRSdZIhq3ipx4kJCAibHAHTSRM07l0qkqOJCtkTeQ5QzvYSdKJ+LEqRjAmISbJ8Im8be43M7ar/n6U2Bz/iG4CZZ33I3E9+fLqTbX48dxhCMUljciYFR6B4zRyY+eYr5EVByWOEhZRrXSS6RPR2BlDlpq7zU5RM4M9N/vsPAmCNADF7E8YhXbztcdhX9CaTsQM3iG4wyvyqqqlVM8ArJHBhRk+1LZHsKmuXa9Vy6DTtO3mk8ZariXyPPwij6gaZEPbf+v8IRDTMjQiRiNl7Qgwzynjjyor2X4P9jBkiY3qpaDjL9MnIhKPQuQVN5NMn6h9xy5mKFGkUBRqHj6RR4xZYEiyHhDR2BlFc2fUkO6HVWbMAU0toRhuf3s7fjO/XHuWMYlgV5M98esNxY+eP8MnKuXi1Ha0hmJ4+NO9+PnRI7rljnPqqnV4f2cT/rtktLatuTMKmZBeCVLpT6C/je4GykS1BbvxHBEmuCPayxVdXBy86BLx++STT/Cf//wHq1atAgBI0v6vKJ544gnb7W+99ZZlG8dxuO+++2z3X7p0KZYuXbrf7elp0Bxl1a3dI34rP9F9yuo7oii3KchgJkasuSSspiaRia6UsCpOnJhMvUny+GkTMadMrooCQAyTPM8ZyYrSJv1vpzQD7HZq6lXMq8ldCugEH4rJFlMya+JjzSKVrWFMvus9ADrp8JuImEwIo/jZmHodFD8Kuvr2qDV2s/yU+KlJi5OQN0AJDKHwsKQsCWn0CrymdvIch/FFmRiPzITHAEbzLRvh61eJnyjwjiZ4eo8ufepLW/OymQyyapqHWZhQ1UyLNueBi6cNRklJCe7/eBcAoF1dbNipwrTdwYgEgec0MyVFXCaWiTFmGjf0HCzxY1MJ3f/JbswckoNL1XQ2Uc3UyxvGoESItnh4aP1ePLR+L8ifvqd9z1YXMZPRN7fWY8Xb2/FRRROj+MmoaOpEQboX9cGo4Z72juKnEj+vYKjN/bPnv8FjGyqRmybi4llDnU/ggPd3KoE3m/bpQVoT7ngX4bhsuD+HIug97e7jou80iSkfyXPKokB0FT8XSZCyqfeee+7BbbfdhtNPPx0TJ07Ezp07MW/evN5s2yEB+lKnL+e/fViBL6paEx1iwD/X7dH+dlrNB5k8TjSxLUU4pldSEE0mNYCpjpBCHr84MxHTtB+yDIOyQs9hThmSiqmXRWdUUky9KShigJ5/rSUUs/iWtTDmowabKFUA2Kr6YJrJXVskrvm8mUkhwCp+vGUboJtkRJ4Hz3HIVpU+WgM2FcVPYP3bDNdJrLKIakoTIPFzBYDbTxmPW04ai49/dqStsqlcj5ZW083f5rNeOFNJ5jwo3Wsx6wJAyBTtzLoWGE29elodwLggoeleGlSfULt7SIl4UM3RaDbTSzamXkslDvWeZTGBDGZF7q1tekQfrZrgFwVEJb1cXFwi4Ex3yph0Vzacw9APtQ2b69q1xVNMIqhuC6Mk2w/AZOrtBR+5Tkbxk5g8fpQMJ0tDkwzNIWs9ZbtE3wcLPtvbgle/rUu4DzX9d5eo0/v0wc4mbNjbAgDquGPy+HUjqb2LgYGUFb9jjz1WK9EmyzIGDRqEe++9t9cadqiAzRX2TU0bfqb66pE/fQ/bG4LY1dSJE8YUOB4/c0g2PlV/2E4vQzYJaEw21pENx2VtAqJKH2sa0029KQR3EMI42+t5/CIx2TBpCjxnUKYAc3BH4hdSmodHKC4jqpp6UwFVC9sicTSbJiK2ykFDMGprXlmgPgOzqTcUkxMqflSxYzkYe38pT/Oopt5svwi/yGt+aan4+LGkxxxEkvA41c9NaV/i68wckqNVBHGCTvyY65pOWz4oXasoYufjZw5esAsk8aj+kDHGx481P1MVnRI/uzFCdw9GFOJnJrNm4ucVOM1/76RxBfj3hioMU8vqZScgfmGT36CgktaYJOulCG3GWygmafkP2YAR82+DkkJW1QvHJRCiKHDK59QVv4fW7cEnu5vx4JKpCfcztxVQrsfm8aNDV95PlbG+0/peO5hzBc665wMAQPj2Rbb+p4BOprtL1Nlx98xXSiAkVZozvMq46oriF5NkNHXGtJyaLg5tpKz4/eAHP0BbWxuCwSAmTZqECRMm4M477+zNth0SoC/uL6vbNLMixZgVb2PBA2s1/zg75DAVINodsryzNT4bgzGjz0dcN31qPn6MGqeVbOti5Q6B4zQH+vaIkWjxHGcx9bJzQ7KM8hleETFJRkxOXfFjUdVmzG/HOozvC0Ys5pWR+QEtcpe+qGnwBaAHMNgpfnrUrv6dT9Bf9pqPn6qS5aR5EPAKGjEx18u1A/tMWOKXTMUTBV3xS2ZR9iUJFFH20X3wKBnmLZqfEqkcicu2Ub3mbaxvGF0seHhOMStLsmG8UViIXyJTbyyuROeanp1kSu4c8ApaMMYF00tRedMJ2oIsm/kNmqvGhOMSWkIx3P3eDoX4cdRMrUcNsz5+FB0R+6TWUZP7DCWj7H2jhJouRMIp+vi9tKkWlz79Jf65bo8h6W8yKIsfIOAxKn70HncndpQli3VBa1sOXtqnI5jAN5km9O4uaWb9uvPU8ZnmUdwj6E9lb0vq7kWXP/MVin73OjoOYqXVRepIeVbdvHkzsrKy8MILL+Dkk09GRUUFHnvssd5s2yEBJ7PmfR9WaC/Q6lZnh3tWYWhz+FGy9T/bInHtpZnuFRCOS1obdMWPMfUmSefy8c+OxD+XTIHIc8aoXpXIyMRYMB4w1oOlYOe9ZKbedK+AmEQQi8spmULN+M3L3zl+V9kStkzCOX5RS4FDo5zZlW9ixU/18XPwvdN8/HgePM9hZH46ijJ92v1IptoBZj84Jso2iYon8hyWzh4Kj8DhhNHOqjJgJKtOoP3yCpyW0sOuCWkeAZG4ZK/4xZIrfqJgLJ0HGO8vTYXTmMjUS4lfVFKJX2LFj+c47bfmEQSUZqdpKiG7CLBT/K587mv86sXNCEYlRvEjhnQu5uPYYK+oRLQFRGNnzEAG7OpV0wAZSmZTVfze2NqQ0n5m0Mo2HnUhYc4A0B3ywpqnG2xMxQez4keR6NdJFdzuKn7s4pmOdb+oqOR0rL363T60p0jwn/+mFgDw6d7mbrXHxcGFlGfVWCyGWCyGF154AYsXL4bH4+nRxMqHKpxIzpVMepZEq2/2xR90UAb3dRiJI32XZPpEhGOydpytj5/J1Gs2CR4xPA+XHj7MQvw8PIf8gAfhuIwt+4w5CnlTyhgAhtxfiYifj4mKjMnENkdbMnxY0eT4XVVr2DLpZfo8mu8cfaEOztCjCukEZzYDA4BHM08ywR3M37qPn/L/rYvG4dmLZ6JAPb9dkESBKeWKYCB+qf/mRJ7HhKJMdN62CKeoaWWckMp5faJu6qU+a3ZHBTzOip/Z74/1fWOjen0ij88qW9ESUsidneJHfczsFD9630NRJUej+dlJxEj8FHJGF0jGXhl9/IxjNxSTDL9fgQOj+KlRuLKe2oXimS9rsKlWqX6iBzEBp/xzPX7/xlZtP7vfSpsaoGSn+CUiEkEmGKYrxKozSokfb4gipeOyO+SFVcMaO63jpDeCVPoD/rV+L76oatUWRd0O7mBrUKt/+z1GpTkuE9Qnqf9M4bNZRLg4dJEy8bv88ssxfPhwBINBHHPMMdi9ezeysrKSHzjA4eTPxs4tTSHrj3NjZQuWPfOl4QVpN5ECSrQvoDjU33ryOI1kZflFhOOytrrU6rwaFD9jPimndC6iwBlMvaLA48wpSlm9xzYYy+MpCZytil8wEseOhmBC4udVkw4HNXNW6opfKvvWtIUtExU7sdMau2MH62lzaFfsFD9KVtjvBN6q+FHTt98jYHxhprZosovqHcdcGzAqftR/JxVoyaUFPqlZOBWTs49R5BIl8Q14BYRjsqIUmfNKMglmAZPixwR3rN2jKA8/+a9SNYS9TWbil2aTBFsL7ogqPn7mBYRZhZOJvggy34vMRIpfXDYEqLA+ftQsHGd8FSlWvL0dk+58Vz2nbBi7L6jqi931AN3ETcksmw7GLkE0BU1/E2ciQVOBkgpKj+Q2m9+7Q17Yd1lDyLqgXben+aBP5mwnjPzwqS9w2N3v6z5+3TX1MveP/p3mUYI72PeruVa7E6h6bKfSuzj0kPKsetVVV6GqqgqvvPIKOI7DsGHD8M477/Rm2w4JRBxS3rDO6uZI09+u2YIZf/4AD67dg/d26LVNtzd04vUt+yznohPgjSeMxnXHl2sv4my/iEhc0lQWOrF2p3KHyHNKcAcTZTkyX3HiZ5PJAsqEYD6PTAiWPvUlym97G002q1AfEzHqFXh0qOpEV2qCFmf6LdvYSRtQJk2zjyFL/BaMKcADZ03GVUeN0LZxJtWOBb2XLLFgdxMSHAsAw/OsKU9mDckxfGZJ24j81EtaJQrUMaOrip82JzuYesOqs3iGz/j8wjHJcC2WNOWnK6Q7GJU0ktKikgI7xa9FNRHaV+4wmnrN40iSFXV33qh8/OyoEZCZVEXmwKQMZgyZlTuF+Bmv6xPUBM5U8ZOIIfEzC0IIInHZEHySwRBZO1OvRvxEqvgZU8c4Icjk2pQTJIo2Iy4rKUIoIaZkVFP8ukFejAtaa1u+t+rT/Up63x+QiLjqip+yT1VrqEtEl61YQ99nfjUFErtYiKSYy48SP7tIfBeHHlImfnV1dbj00ktx8sknA1B8/mh1DRfOcFL82AmvPmgkQvd/skv7e2djUEtf8fCne7Fw5TpD+hZA/+F7BA48z2kvkEyfiFCMVfzUkliMoiElMfVSiDyPOLOa9ImKihTwCJriSCHwugmUggD4aJdign1vh9UUSwkCdcSnE0NXTL2ZfhGzh+YYtpVl+3HRjDLtc0wmFnNGOjPRchyHZUcMx9TSbKVdpu/+ceZkPH3hdG2bV/WNY0uv8TaKlpOi9tsTx1oCD8YXZuCMyUXaZ5bAjeol4pdMEQTYhQOPUjWVyJhB6Zb90jwC9jQriwFzpZBwTDYEwrDDrSRLOWcLk2txU127pX0ZZsXPZozQ3TtV/zRzkBD18RMFDl6qZpt8YSnYMWj18ZNMz5sJ7lDJVUyWHZW4cFyGTIx+hBk+ES9824RIXDLk+KOgwVyaqZcpS5eIhHUYSrs57mZBXFKilekziJuIX3eEObPbyvBc6wLo0z0tXT9xP4L5UbDEjlX8vqxuRdnv38Rd7+5I+dzhuIRM9Z0ZUh8mjYRnFT8n4cEMuvBwsiq5OLSQMvG75JJLsHDhQlRXVwMAxowZg3vuuae32nXIwMmsyRIss4+fwHMoUydWSZ0U2Gm5pt3o06e/+JXHSd8v6V4RMVnWooY1Hz+b4A76knIiCx6eg0T0vITUNJXpFzXiSg/lbRQ/QoAJhYoJ8zuTTyCgq240AW7QFLmYCrwChwsZkgcoxGJaqe6SEJesCZ6drtH6x5Ow7udHGbb9eO5wnD1NrwNN1SGj4meNvHW6r16Rx9lTlQLfp08qwpTiTIwvzMB/L5ml7cNGSJsVzERIhcx1BVrUrcDhiOF5eOVHs3HtvHLLfuy9WDrbmNg3HDcqfqw5TCN+oRhuP2W84TjzPU3z8Brxs6t3TPveFo4h4BGswR1qVK9HNYPLRFdKzIofuzCg6hdFVDKaemkOQjYVTUwijkocXcSxxO+b2nZc8UoFLn3qS4vilx/QI4zpbzCsBXsICYlf0CGSOBlisgyB01M0UUJLb8P++vgBwJEjrJWW7NTOgwlmBc+OxEsE+LZOeR++saXe8r0TwjFZG/fUnOsXebSEYgbVzhxM5QT6DrSrtuPi0EPKxK+hoQFLliwBr67WRVGEkEIk4ECH0wuWXVmxCgeg+OIcPSIPs4YoqpNP5FHERJma8zPRHzdVZNio3rhMDIogux9gNfU6kQXq46crfsqzZ4kInbzYSYKCEJKQxGklzFTiR9NdpEL82KAVs7LDcxx+dtQI3LRgDGYOyUbcRvFLE+1/Bll+DyYUJfZjpSTaoPiZTH9AYh86StxnDcnBxquPxdzhxklQ4Hhs/OUxePDsKYb0PgcaNJqWzmcnjy/EKFvFT1eWqTJIYfbxY1GsEr/WUAy/Pt5IKM3jclhuQF8c2NXqVclYVCLI8ouOip9HVbKkBD5+AZPplW2/JBPL86ZBEJRIxpnAETOoCseak+lCcG9LyKIwDs7Q3wOaqZdJ15QonQubDopVIGvawtjX7pxZgOYnpP2Om94V+2vqBYAReVYluyvktD9CJsAzX1bjpU2Kz6Yd8WOjpNlF0A2vfIsH1+52PHdYrRLjF3nt+aeplVV2MKUEk6XOonB9/AYWUiZ+6enpaGxs1Abn2rVrkZ2d3WsNO1RgVpfs0Mo4NxNCEIzGkeYVcPpkJXgiFJMMvl1mOZ7+8Onkdu1xowCoxE8izMRgU7LNVLnDXHGDQonqVdQyntPPwSa3pcSA5zlDhQlAIaNO6WjM5/EyL7NACgEbQ3L82nHmaGIlpyCPm08ai4J0n+2K1qlSRSqgyZrTnBS/JD5+ALBonBJxO6YgHQLPWZzCOQ44rCwbP5ozzHJfEyGV6fiG+eUozPAmzJdIFwzUbOsUXU5B74Vd/rzdzSG0huO4e/EE/IGp0wsAxVkKqZlp8nEEjMFQAHDqhMHa32Y/QsBIFLP9HoeoXqLXnGYib83+julMQE1MJUEUcdlYlYNVu1l10Clakkb2ZvqMqiJgX0+4hCHSlGCHYpLmg2dW34KRuEY6WVMvawIsufkNFP7uddv20XawPn6aqVcdp91R5swEg/6GWdgRpYMJMiFY8ugGLH7oUwD2RFaW9UAb9qd921vbseyZrxzPHWZcGCKm9zugj+FUiR/9/bum3oGBlGeRu+++G4sXL8aOHTtw5JFH4qKLLsJf//rX3mzbIQG7H/uPDjeav9j6sRHV5yfgEbS0HjGZoDxfV1Y6wnGs36PnWzKrY384eRyabzkJQ3LSQKA77Gp5/JiJjU4Umo+fY3AHr6mHHl6PEqUqX7pX0HwHec5qLtveEExI/KiSFSfEYJZLhZQdpvrj+QQr8aPmZUB5GdqtaLtiTjaDEmX2vrFdpyTQfD9YXDyrDHtvPAGLHFKu8A5+l8mQigXuj4vGY+fy+SjNtvpYUdDnQYmfuTa0GfR+cpx9CpxIXMayOcPwfwvGGK/jEbD1+nm457RJjuek+CFTGzbdhvixtztLrZbCwqz4EegKnZmkB0ymXtZNg63DCyiTN3t8Mqf5U1etB2COHNZ9A82kalaZvtimhDQcl+ERFML55tYGPP91jbZPxg2v4oT7P8HrW/ahqjWsUVS7aGEnmBU/3dRLP3dH8TO+C+zqOm+t78CkO95FU9BZjezPYNVXQohtCTU2YC5ZerTOaByz73kf725vQIhR/CjYxQV9vqlW73CDOwYWUiJ+kiThvffew3vvvYePP/4YDzzwADZt2oQpU6b0dvsOatR3RPDc17WW7WbzF60ssXZ3s2aO8Xv0SERJJpoaAgAf7WrG4X/5UPu8rSEIgedQzpjdctI82iqOmlXoJGzw8bMofvZ98Qoc3tjagPpgFB6B0xQY6puX6RM1YinynIWszP3rRwaCa0aOauqVTNU6UklwPFk1x7aG44ZyaXOH5eLGE3Vy4RF4BGNW8tmVlDFm2L2qjf5oyv/mSiaGc3AcynLSHAlooumA3qu5w3It3yVKucIikCRFTF6A1hdWo24jiScHSpQIgcW3joJ3IMKjCzJQrpZ8Y8cBNQNTTCjKxCPnTcN/L56B0iwraWCJuGLqtfr4xSTZkOomHJcNQQwUBh8/STYQvZZQHE99Ua19FjljnWrdDyux8pLJKN6UL8RlazTw2MGZtseIPA+R59AZk3DGvz4zHPP+ziYsXLkOgK4CU3WTtUg4JWKm5m3RnM6Fp+b0rit+9J1EXVgKM32WxdGW+iA21bXj/k+cTZ79GWyVF2WhYWfqZfIi2hA/1k/wk13N+HRvK6547muEYxK8pqClDpvKTmyqn42VLY7P2K/5+LnEbyAgpRlPEAQ88cQTEEUREydOxKRJk+Dx9J2v0cECWmPXDDbScWpJFlpCMTz3VQ2OuPdD3PbWdgCK4keJQFwmmg8cAFSa0qdUtoYxLDfNQA4BXeHrYBK3AmYfP2MePyeT5IljFdPaRxVN8Ai8NnHT98icYbnahDh6ULptuaK2cNzgnM6CKn4ib0z+XJDhRVGmDxfOKLU9DgAWqWa/+mDEcOz0smxMKNQnSq/A2yp+TuQkFdj5VNkHd3SfXCZKtksDKX63cAzWmwJReqru1RuXz8GPjxiGieq97Ehi6qXqlUSIreIHGBU5J1Qsn6/9bacIXTRzCM6YUmJLItlJNNvvsVf84kRdxOgERuSspnY2WCUuk4QKLM8byxXSCTXZo8j2W38XMYnYBCIxpNLDlv7jDC4csoNfIe0LJSHVTAURp3FGFT+ac5JGP9PbkCh3oBMoSXnukpn4x6JhGDc4w9HdoKeDlA4UYkxGh7hsNdsDyjjUFT+bczD39ovqNgCKcBBWc2SyCxpb4hdTjv+oogkz/vwBblpjX9VIS3juBncMCKQ8Gx155JG48sor8cEHH2Djxo3aPxfOGGnjsAzoxG9QuhfDc9PQHIrhupc3AwDW7VZMuArxU1+0MjHkmrN7zQ7NSbNMHpQE0ZxolOAkrNzhQFB+MncYAGBnU6eSNsZUzeLMyUXYUh8EoPho2dUVbuyMYrjDPTlqRC4Wji3ARTPLDBNAlt+D6t8uwKpzpuHkcfZlx8YUZOBvp0/CLSeNM/TNrBZ6BE6b8JbN0U2F+6P42RM//e8mNfVGV6JxU7kGxWVqP/yigNEFGY777Q9GF2TgH2dNwUw12MicYNoM2te4TBDwWPt9ycwyx7RBLFiVryCjawtNlgxm+azBHZG4DIkQeBgTZkRV/Mw8g1ViYxJJSFpZkyjgHDhkBuvjSkGrf7CuGWw/fB5eW8yJpuvKhFhcK86bVoJrVP9fSgqrWnXi5xSdS30VdcVP3V+LWu46WWgOxeAVOAzNScPi8YMQ8FqfEcX+LJp6Gn/7sAL/Wr83pX1ZohdXFxpmSEwybbvfBHtvd6pBG5tq29EeURQ/9t2VH/Bajqe1n7c3KO/mjVWttm2lz9L18RsYSHk2+uKLLwAAN910k7aN4zi8/fbbPd6oQwVOJIeW6yKEICfNo/2gASDIZGFnTb1sxQY71SrgFSzKB3XwpelcfB5rAmctj58My3cshqp5tiR1EqAvqXu/PwmnTyrCqROKID3xBQCgONOHDVVtlnPIBPjehEJ8UdUKs0hQnOXHmmVzAABXr96kbU/z8OA4Dh6Bw/nTy/Dqd9aUBwLH4Qo14fI72/V6pBOKjASFrZIxMi+Akiw/qtvC3fLxe/6SmXjqi2rbPIOsIvSJSuQnFWVa9ksViYjfbYvG46xRfkwdlmsx7fa0a/ygDB8+uGKuwcRoBxqoIMnEdjz9buHYLgWpAIo5OtyZfD8KdhLN8osGe3m6V9CSIHsYU69O/IxtZglJTJYR4JzHizl5eV7ACyCYtL25NpN2XCKIyTKy/B6tvQbiJyhVbkKq361o8t01E7+ppVmaLydVktoY9wun6Ny4JBv6RRU/Oi67E4TR1BlDpk+E3yOAevA5E7/+o/j9TC21ecnsIdq2/2yoxE2vbcFHVx6JImaxwqp1cZlo+fYoBE5RZiViVPzY2uusqZ+mL6puU76fWpJl8IH+/UljcfiwHHy0qxlFmT48tH4vKppCeOXbOku1FTOo5ceN6k0MoqZ96k4N+f6ElFv/zjvvWP71N9K3Zs0ajB07FuXl5VixYkVfN8cxMIEqfgRWp3X6wwt4jcQv06/v12ajpplNWYBu6g0yeb4Aq+JHGAdjpxcDa1LY1xHVfNeKsvw4b3qZgQwUZPg052123ucAXDSzDNE7TsXpTIJi5fzWiDTAGNXrZPJhOQTbt+9PKjbsx57XK/Lay647Ub3fn1yMJy6cgcGZPst3LAH/+dEKIZ3YDeK344bj8bfTJ1lq95qvVZrtt41o7o2YyKNG5mNqSeJofuqWYM55R2GXd88Jf1o8AT84rLTL5JwdKwGvMY9fQbpXSzouCpyJ+FlNbj6TT2yiIidmxc/JtcGMPJs0PYpKJBsWF6w7h1fgtN+9IJgVP1h8ajO8oiVAgzXtSTLwj4934cOdjYbjaCSzFsVrSgEVM1UBeXtbA9oTBHIBConJ9nsM9zZRRoH+BtZX7skvqrGzsRO3vrXNsA+r1sUlGd9/covh+4BXVHz8TO/eIibCmj2HOd+rOWo+O03EDSeMwcs/OhxXHDkcAHDnuztwyj/Xazkcnd6hlBi6Pn6J8ev/fQvfdS8jlMTdpb8jZcXv7rvvtmzLzs7GjBkzMG3atJ5sU7cgSRKuuOIKvPHGGygrK8OsWbOwePFiTJgwoU/b9bOjhuPBtXsMEVeU+Mk2PlB2xI/AaCq0i46181OjRIf+6OlLwpzAmRBlxSdwzk73AHDNcSNx17s7k/o5FWZ6ccvJ47CvPYJgTMI725WJJN0rIN0rguc55JomOpZ8satOYw1c54hjCpb8mAmG1xQ0QlfkvhTKlaWCNy6fgx0NRnXnoplDcObk4i6RHYqR+emakpkKkkUFHiiwY5W2qTTbr5kVu+JTefWxoyCpxKM5+e4a2KES8AgG5aQgw4e6DkU1YdXrSFxRtsxjO48hbwSJ77NgCu7IT0DaWZgrnABQ6/0Sg5JXwgSyCLzu3O/hOYPClHnDq3j4nKmG82X6Re2d8NhnVTh6RL7BtFfZGsJP//s1Ah4BWX4RP5k7DDedOBYxiSDdq5t6qUJFyQJ73cqWEObf/wnmjx6Ew0qzsbmuHS//6HBL35o6o8g05Vd0suj2Q96HqCTDz+sLc8CamzAqGxU/M9K9gsHUazesglEJ1MHFTPy8Am8Ya+z70RzM1KQem4z4uaZeexBC8Kd3d2rVVb6qacfhNgF1BwtSVvw+++wz3H///aiqqkJVVRUeeOABrFmzBpdddhnuuOOO3mxjSli/fj3Ky8sxcuRIeL1enHvuuVi9enVfNwv3nj4ZVx870rCNkp4FYwosSgZdPftE3kAWWFOvXR41Oyd6SoIsUb0mxU8mBJ0xCX6PkND36sQxeu60RMRvULoXxVl+vPSjww0JhwNeQZt4zP6I7MqVLWFnlxPPDPZlxkb1Wnz8eON350xTKmakdYOU2eGEMQW4fO5wy/Z0n9gnpKyvitxnGsqPKfd2ZH4AFcvn44nzpxuiZFNBd5z72WPSvIJhfBVl+rBV9Uf1i4IhOlW08fHL8nuw8ZdHa5+T+vgxRI1NuJwIuek2wR1qgAareGWnsaRan+BFntMqOAAKGfnHx8Zo2Nw0j0YUnv6yGuf9e4NB4aFuEhk+AbXtEfz2ta0AlEUhS5B1U68aGcyoUlRJ3dMcwl3v7sAr3+6zDTpo7owhyy8aAlKcft/dyBbT66B9fnNrvebOYY7cjjP3xS4gKsMnQia6qZdX80myaGXIXnMohtlDczBbzXOplM3U9+XBvt+M95I+Z0dTr+Qqfonw/Ne1uPZ/m7XPXfRU6XdIWfGrrKzExo0bkZGh+E3dfPPNOOWUU/D+++9jxowZ+PWvf91rjUwFVVVVGDJE97soKyvDunXrLPutXLkSK1euBADU1tZqJejq61Mvl9NVRDp1FWhqYRpaGvbhs2WTwAN4/Btj3dqI+sMLtTaj1acToFCbrne0dYZhQTSk9YWivbUFANDaoThHdTTuQ2ekHZ0dalQegM5IFJVV1ahvaYePB5rqaxFvtzdPhdr1Umv76mocyV97UwOqw4oTcXO77pjl4wma6usQ8gjgYsbI5I6mfaiOKX6Bexvbte3B5gZUe5X+tra02F6vrlbPW9bSGLLdDgCRkN6WWEcLfjNnEM4bE0CZGLbcu4MJTmM3Gon0Sb+CTEJyLtiMB04dgaIAD2+4BccUcag1PZdU0ZXfaEuz7sQeaW1AOyOW1LQo47ggIGJGrowt6r7BUBgckbGvthYdJnJayAMTC9KwqT4EIjsHM4Q7WtEO/feZCZvfqt1xLY2WbdF4HG3BEDg5jl/OKYJfABr31YGDojy2N+2DAOV9wcmSJc1OTYtRfeY7W9Ec0dv+6nf1mDlYVxprG5R3TJzJ/VZdXY1wNAY5xqG1Rfm+qbER1dUcOoLK76mtoxOjbnkdP51ViFGqL7AH+jlqaqoNSbABYF97CIP9aaiurtaeK5HtSUdbSzOqq314u6IVY/PTUJqVmoram9hTWYW8gBcLHtigbWvr6EBVVZX2ed++fdrfuyutv0M/JyMSkdDU3AIAiIU7sWnnHsM+FZXVKOCU59gUDGNkVjqG5vixfi8gRToRjyoDm+eAxvo6cJ3KvWluM+Y+rGlUrhENd9q+EzrDyjht74ygqqpqvxeqvTmf9gW+3l1n+FxbW4dqQZlrDsa+pkz89u3bB59PX716PB7U1dUhLS3NsL2/Y9myZVi2bBkAYObMmSgpKdG+Y//uSeTmdACoQbpXwGMXzEZJSRbold6qlgHoP8RO1SQ8qGAQRgzJBfA1AGBoSSEAZcURlq3LjdzsLEv7C5t4ADsR4xTfnqKSEpCOJhS0RwBUwu/hsac1ilOf2oapxdlI83lQUlJiSB3DYgTXBkDxUyktKbF5OWxQvyvWnNVlvkL7NsPvQ1lpCXyigLKCEACdABQVl2hRnJmBPQDa8eQF03Hc1BJNkRncIgCwFjJn+x3yBrX7ZL4fudltAJS8igUFBRhaVoKhxtK+By30vuoTkcfn67UxnQiD4jKAL7V2LevBNqTan5JOLwAlNVJZSYmadFpJZXHF0aPx+ze24MGzp2Je+SA8tH4PgD0gvAivR0ZxcTHSbaKwT5/ahk1vboNHFAHY56TMys5BQU4aAGXcl5cOBqCQgYBHcDSllZUUA/jGsE0iHHjRA78PuPPMmdrv4Np5LbjjnR0oGFyMjLR6AGH4fV40hI0kkyV5ADByaAnE5pB2XwDglvd1ouINKIv6tqh+XEFhEcB9i7Q0PwYPygewAw982YwmpMHjU36vn9eFEIxKuO3DGjx+wXQAQEbAD6ikt6Cw2FJqsD36JfKzMrTnWVJSAr93CwBrsua0zGwUFxfjwj9tQMAjILhike097CqaO6O45c1t+OPJ47rg56v8vnzZg1CYbyxXSEQfCot0v2Jvpm4K9GblW86UnZ6GllAM6ZlZAKqQFkgHl240H7YJ+j1qi3yO/OxMFOenA6iD6A8gEIsAaAPHcRhcWKQFl3AZYbDjKQTVr9zjt/0NCZ5dAIAo4TGosMhiKu4O+uLd01vgvjHWl0/LyUdJiZ5l4mDra8rE7/zzz8fhhx+O0047DQDw0ksv4Qc/+AGCwWCf+9EBQGlpKfbu1cPsKysrUVrqnPvtQIJGk6Z7BYzMN0b6mk20WqF4gTeYgdOTRPXaBXdQn7ZgVNJSsEjQTaB+UUAoJmNTbQdCMRl+kU/oSM2am+1WhDtvmI9P9zYbiCObkiPNI2j3wkwuWRPEQ+dMw5/f34HZQ3MMJjuzyW9GWTaWTDX+4Gjf7HrBmn57yrzbr9FHJjI67uxSlBwosLVvfaJg8LG6ZPYQnDe9RJvcjAmc7X2tAN09IdFvxBzckcv4B14yqwxZfg9WvL3dcMxVR43QiNHsITlYr+b/JESJmDWbn1ecMh7XHjcKuQGv5i8p8hyuPHI4fvf6Vm2/VpMvcLpXsLSdHSI07RN7r+o7IojJssF38fOqNnxe1aYFaFFXkplDcpjUUWxAjJGA0rKUZr9XJ5O+xNQb70kftKtf3Ix/fboXg9O9uG7+6C4d2xiMoTDTeH/Dcdlw71jTr9k/D1AyFjR1Es28y3Ec9nVEDfts2acQjo5IHOG4jEyfoEXNB6OSds94zvhONru50LRS1JRb1x7Bza9vwT2nTVIC3SRZ+z4mEexH9ql+BUIIXttSj+PLB+1XJG6bKVAqmkK+w+bOKN7Y2oAl0/ofKUz5Ttx4441YuXIlcnJykJOTg/vvvx833XQT0tPT8Z///Kc325gSZs2ahW3btqGiogLRaBRPPvkkFi9e3NfNAqBXbSDEGjzhFK3o4TnDy7Mk249/nDkZgP3Lz27FSn3aQjEJXoHXohHpS4HNAbWzsRN+UUiYM8uuJiqLEfkBLJlWaniBP3DWFG2yYVPOmCNV2dtSku3Hnd+biBGmFbXZP2XJ1BL8+vhywzb647ZLI8L6ExXbROMeauhL16inL5yBf//gsD67fobXGBRkThXCKhp0vH5T2w7eJriDgvrXJfI5pLWhKdgFm1fkcdsp4w37D81Jw00njoHfI0C681Rcd/wo7TuZEGyrD6Ig3WuY1DmOw6AMn6FfHoHHbxeOxXXzRsEJHoE3/AbMaItYycm/Pt2r1Opl0t5QmNO/+EVeiyRmf6vmwIawWpbS/O5zuu9xU2qaoE07uwNaJzmrGwuUhmBUI7kUYZU0UWyobNH+tiN+PlGprRzXKndY3+0VTYo5/ZNdipl93OAMzYe2kyV+horRVuLXqPpN0yDDq1dvwj8+3o0/qcEKbHBHd/Iy9hXe2d6AzytbHb9/4vMqnPzgOstiq6tojyjFBx5SA6acam+zOOzu93HOYxvwXV170n0PNLpEgcPhMLKysvDzn/8cw4YNQ0VFRfKDDhBEUcTf/vY3LFy4EOPHj8eSJUswceLEvm4WAF3xI7AqUU7Jgz0Cb1HVfjx3OHLTPLZVMRKlc9nbElKcs9WXBCVF5snQ70ms+HUnCXF2mgcXzlDsqWxfT51QiF8co0espuLAb54X7I6h7berjcuSQXMJsEMR+1ODeH9x9rQSnDqxKPmOvQSWcAlc4khilqTsaOx0Jn6q4scOrZsWGJUiJQhC/8ymYhFtzivynKZ88TxniAIOx2XUdUQwa2iOY9vp756O+4wEv1FzjkEz7FKwbG/oVOsTWx3azfV+ZaITnAgzMZrJDL2OWfGjQT9XHjkcp07QA8lk2ZjCqrbdqIpR2AWR2OHu93bghle+xY5GxXeuOzynLRKzBGyE47Ihtc1d7+3U/qYJ7dl3qFfgleAORvEzq6P0fn60qwk8BxwxPFc7RzAa18Yub1KqzQvfxk7lnkVUpYoGlNBqLfRZmslrf8fx//gE0//8vuP3z36luBO1d2GxsL0hiI0MaQeUTBrpXhHp6u854jBo3txaj/d3KP66u5sVH0A2T29/QcrE7+abb8btt9+O2267DQAQi8VwwQUX9FrDuoNFixZh69at2LFjB5YvX97XzdHg0RQ/YiEvjoqfeswdp4w3KCd2BM/pPPQcShF3XpvQqCpmJpZ+kU+YzsUpwWoy0OPYSZDnOfz5tEn65xScic0Kg10WFjqZfH9sjuU7SsAL0r1djiw92PDjI4bh2uNGJt/xEAWrTosC71g6DrAuIJxNvVbF79rjjAqbYurVrzUqP4BCNWG73UKF541E0hwEASiqoBPob4taFRLVtjZHHJthF3naHokrpl5TvwA9qpciJsm4+kXFv5Yt/2bOQkCvY05+ft08Rb0fkRfA5OIsbbtEiCG6NWhD8N7YUo/MG17F61v2Wb4z41cvbsZtb23XyFi3ag1HrME04ZhsKbFHQfMlXqnm1wOU5yHLeh4/nrNRR9XjdjeHUJDuxfDcABaMLUBxpg8/nDWEMfUaFT+zskuJXygmKfOQul2v3UwrOCn344uq1i4rf04JwHsL5qwFskwsJlmqFHclwcHo297GjD9/YOhPWySOdK+g196O27scLHhgLY79+8eGbfE+yq6QCCnP5M8//zxefPFFpKcr5reSkhK0t/c/CbM/gl1lO1UFGDMo3VAKy6PmiLr2+HKcP0OPQPA5TGC2Pn5s+TJRN9UcMSwX88rzUZatqF6D1Ykp2Q+3u5FedsTPjFQUP/NL0e6YNI+AzttOxv8dY/XvpKleBqV7EyojhwJuXDAG80bbl7gbCDAqflZTLwvzOHJahNDFAqsQ8jyH6B2naOZCxdSrf+8ReMxU0284nZfdnmGzIHFa7AHGdC4AEvox8Vxi/8T2sGRR9Z/9qgYtobiSwNl0rPn3yPoUSgbiZ5wkqYnUrPgtnlSE7349DxfNLDO8uySZGBS/EDPphmMSOqNxvLtDSUXz/Ne1jv0zgy4Eu0P8OmOSjeInOda6pX7ZXoHHr+eNwr/OnQaB5xBnTL08x1nuKVVOK1tCGJzhQ4ZPRF7Ai8qbFuC86WXa8zQ/VTbhNqATz45o3JCHlT4miejt3lTbjsPufh8/efbrVG8HdjV1Qrz2f3jgk10pH8MeW/jb17CtviP5zgzYsqAxScYvX9yE7OVr0MGoe+aUZl0B60vfFlZ8UumYZQl+bUdU88WkYElpqB9WQ0mZ+Hm9ip8JnfyDweRliFwooKsviVlpUdDP+elejC3QfdrMeZgo0hxMVvaKH5PM2KPn0CvLScPbP5mLQtXPjZaWMzuDO+H4cmuEWiLQd1m2TXUCilRStaVC/AAgzSsiK82a8oG+6Aelew/awu+pQu6Hq8wDCZYACXwSJcxEyJxGBh1+rBmN5zh4BL1qijm4Q+A5jUw5jTmW+NkpfokiTnVTrzVHpxl2qh2L9mjc8b1jrgUM6LnfKFg/vAhTl7YzqqhMX9co6ZqoSdZuITi2MAODMnwGom4uP0cn5NZQDGnXv4IFD6zV+m1WIROB9qc7xC8Slw2mZZHnEI7LiDgoQVQh8ggcbj91Ai6eNQQir+Tto/eRgNj4QyrHVbaGMDjTp40FXiXidEwJPGdZmNs9y4ZgDOGYrKnatMwj+yxpovVP1SCjVPCN6i/57w1VSfa04uH1e7GvI4o737FmbEiEaqbOdCQu494PFNezjZVtln27k5+QvZ2KqVevAPTQ+r3YqhLVGQ98jXG3v2MQTti/+2NS7JSJ35IlS3D55ZejpaUFDz74IE444QRcdtllvdm2Qwb05SzJVtWMjg+eMxI1JydsJ5OVnYJlnKCskwIdnNSUZC7xZAf5rlPx9EUzk+7HYp9aJYEtN2VG90y9XSNv1C/DrkrCoYInL5iO86aV9Kl/X3+D3aRo/p6Fk7vDEcNz8b0JhbhpwRhtGz0tJRFmgiTwnKYGmv23AICDMWLXLoAqkVrpN9XfdiJugPJ7carFDSiEzOm9E5eJQXm0M0uaFRiKYFTC/Z/sxpS73sPzX9doSlmiMcq+q8wmvKte2ITr/rdZIyYf72rWnoOTf1pNWxjr9zTj0qe+0LZRZbY7Pm3huGRQkbL8IiJx2aBGsqCKmyFhNc9BJkQjqzKBxbwajsuQZYLKlrBmmWFB34EcZ3VR8NiMm/ZIHPXBiEXxY5+l7p+Z+n2hY5t9J7+5tR7cr17C7qbEPm7ULzLR2LTDBiaog/UplQhBhepXR+8nXSxsq+/AEfd+gIfW7UkYFAIYF8/tqqmXLijX7WnB7Hs+MOzPjlH2OfbH+scp2bsIITjnnHPw3XffISsrC1u2bMHvf/97LFiwoLfbd0iAysMxSbYoW5Ksy/xG4mf/I3CaBDJtJgz25cnBOvnFLcQvueLHcVzKZagoatWi43Y1Z6eVZGFPS8jRr4qFeaLJ7GI0Xk2bskI8lInfOYeV4pzD+kcao/4COhkdNyofx42yqtWpqr8egceLl842bKOeVZTsKeZUliBxWuqiDocJgEui+KUlIH50/1RMvWY10oy2cNxRMQzHZIPyqJgljSSFjQqOmia+z6uUSfbTPS2a6ZutP26GQfGTjYrfN7Xt+Ka2Xfsd+0S9ZoVdaTQAmHznu2jsNC5shRQUv631HSjK9IEQo8UiHJMNUb2ZPhH1HVFL9Q5t/zg19TKLAo5TfepUxY/o7V82Zyh2NYWwvTGIaFxGR9Rqhmf7YPbxU65lfJZ5AQ+aOmPY3dypK352xE+9H10xGtDjWUH5Hx/vAqBUifnhrCH4aFczTptkDfiiZtNEarQd6PkBo2jx42e/wtb6IMIrFmmlGqnq9tvXtmLt7has3d0CACB/+p7j+VmhIaxmxmDHpXm+ZMULVuWLpBABfKCR0szJcRwWLVqEr7/+2iV73QA1acQk2UK+5qj1/i6YUYqPdunVOZxe0E6m3gyf1YxqVvzMoD/WEtXX77DSbKcu7BdoKSk7wvX5r45FU2c0pYShZtI7oTDDYU970FdjWc6hH9HrQgedHN/56VxbP1bN3SLgwX1nTE7pnC/8cBY21bYxkfL2pl6e09OFpGLy8aq5NNmJOJGp1+x3aJ7sBU5x2NfbZp1cs3wi2iJx1HdEHX8boZhkiMq3VfyYiZAlU6G4ZAgmeFeNesyyeWdRGMpKEmJLmmk6lhy/iKCadNpukn3q8yoL6QP0yH8n4rfmu304+UG9+hNLEsJx2eDjN25wBnY31xtUKBZhJ8VPLcsHQFX/lHt6yawh+PvHu7Cpth2heFxtr/XZ0fHHwWpNMqu/9NOuphDzPPS6yx5Bqff85OdVantsu2IL2m42cl2zZgG45Mkv8PK3+7Dxl8fgsDLjPEPJWTLFjxBiSIlWyZh6K1v0v2k5xvV7WyyKX6KFjxls/yOSDC/j0mEHA/FjkqD3R+KXMsWePn06Pv30095syyELqvjZWRQGZ/oQv/NUXDJrqMFPyEmFcJoE7BQ/dsDZKWrUr8Mn8PjyV8fgb2dMsu7UA3jsB4dh6ewhmFqSZft9XiA1Be57EwpxDVP3mC1YnwquO34Urj1uFM6cUpx8ZxeHBHLTPIYJ0e53RSf+SUVZKaulp00qwg0njNHORycUwRTcwXEcsrT0G1byYld32xz0kMgkSokfnXjNExPrAsI7pHMpUl0w6ORm964Ix2VDShyO4ywmUvYj6/zeGZX0Z0AI/vqh4ouVb1OfWD+XfrLXvqvH+zutJe1q1LJkcZloJKzdFPEbikk4998bba9Bn12M8UckhODq1Zuw+ptaA+kDFJ9CuvgMx4357o4ZmQcAeGOrffku1sePvb5MiHYfZaL7+3kFHgGPgHBcQmfM2RRKCb/AJ1f8aPGA1lBMIymU3Egy0Z7vuj0tyr3ogqmXLqjY3xc1lb787T40qHkEN5jSpAC6WTQZKTv5wXUQrv2f9rkxGNXEhK02gSH1HRFtHNJFV7JrsLWS2UViVJIhCpzlnrJjQGIU8M6Y/SKovyBl4rdu3TocccQRGDVqFKZMmYLJkydjypQpvdm2QwbJ/K0EnoNX5LUftpKp34n42T8yu/QkI/PTtUTFdj5Oce3HCkwpycbUkt5R/EYXZGDVOdMwZnDmfp2H5zncuXgivj+pCFOKMw0F61NBwCviju9NwMQiewLq4tBCx60nY93Pj0q6H10gJfKPSwZK9iRCLJPLxCJl3JequSMvmTUER6tEoclGiUr3mIlfoqTqqv8gkxLE8D0b3cxzyAt4kB/w4JxpJZg7XLE2lDA5LT0Cb6ssmRU/geMcswAInG6+BJT7S5u1ZotCjA4fmoNxCd4HbODE17XteOVba5oWmqIkLhNtf3MuQqf0KoCu0JjN0n9+fye+/7C9yEGHSDgmG/L/FWUq95Dm3fuNKbE8VfxYywZVdmOMj19c1pXBgFdAOC5rFhM70qIpfhxnIexms//V6qJZkvW0YnTcxGViGWfdMfUaiZ/y/zs7GrG3RclpR91+2sIx7FXz3EVV4p2MlL2mjp3atjDCMQkdUUnze2TVP4qmzpg2DjXFL8lvnF2csUQuGlcVP5Fz3D/CjHnW5J9KsucDjZRnztdeey3h983NzcjNzd3vBh2KMK/gnUDNACJv/RFTOCWi9dpsF3gOT1w4Hcf9/RPbSEX6kjnYIlyf/+EstIfjPVJP0sWhi3SfiNEFyd0BKPGzc4ZPFZQsSbKV+J0wpgAvXzpbI4APnzsNu5s6MfyPb9lOCuk+EWjXa9YmSj6tK36qaqK+QzJ9Itoj1rJo6T4Rtb87EeG4jLMe+QyAoor6RR7huAyvwMErcohKwGkTC7F6k1KcPhSTDL83jjMmsS3N8qNK9aHN8nsMZCoqyRrJ+qJaibicUpyVMKWSuSqGHShpVhQ/SbsWAETiEkSeT6i2UGLD7tNsU2GDBSUz4bhkUCUDHgEentMIqNlkTp+zjyEOIq+QZ4PiR82ePIc0j0L8aGCIPfFT/ucBmDU/Vp0akuPHJHXBGydE25cqVnFZtpTR7ErIi77wsCp+gC5+0IjhKXe9h93NITT9YSFWrd8DwN4iZoeYRDTSPzjDh811HbiZKVWY6RPQHpHQ2BnV+heMSZBkkjQgkPVTDWu+jgRRiSg+fibFj00dE2JUPjatz0Ft6h02bJjtP4r58+f3SgMPBSTKX8fCw5iLnBS/fKb258ZfHqP97bRamlCoTDbn2Ziw7FZpBwu6GtjhwoUTdMWv+8SPqiUysXdSXzShEMPy9DrdpdnOfqbmXH6JonrpRETJw6Jxg/Hi0ln42VHDAdibB0WBR4ZP1IiXX+Q1k5mXUfx+Mnc4PrxyLgDlHpnNeK2hGE6fVIQvrj4G00p1FT3TJxrIVFyyJq5Pthh2SpDLookqfpKu+EUlGYQQ+K97BQsfWJuQ+FHiFpVkNHVG8Z8NlRqhsAOBbv6LxGVDcItH4JCuEg7AOpZof1gS7xcFxCTWx89Yqz3gESDJRCPBos341Cp32Cl+zP6XzxmmzRFxiWhBGPR6cZlYgojMCZITQVt42Jh6Ad3ViLo20KoWj35WqZ/D9KwkmdhWk4lIkmY6LrCJdKbjuqkzpqmpoaiESEzChxVNCfvBXq+hPYq2cEy7R6LAWVTUZkaxZ/362AhfpxQ/fYnuv+lM6MogGWjoquInJFD8VpwyHgVqzr+xg/W8f07EryDDh9gdp+BKdSJgofkndTMxswsXhwLo76A7JQkpnrxwBs6fXoopJVmOSXVZ0El8nk1OTLMSZjfhU9CJiE5OPM/hexOLNNNjokhJWonE7xG0EoZKPV+9/XOG5eHsqcW45eRxhmPjMkFrOI6cNA+mlmYbyGl2mmjw/4vL1vylydxfrj1uFE4eZ0xAbn7F0ajKmCwzxE8vgfbW9gZbtcWn3TPlu+bOGH7z8re44PHP8RhDRMyQZMIofkZTr+KTJ2qJps33PaKZevXtPpFHRJK1NrKKn1fktHtEzceJTL08bx1vdGzc9b0JuPq4Udo4YvPJUmIsycRiQemS4ifZmHqZ+0NNrma/0BwmUjpmch245qVNyFr+qkFVA4COsKSpvXaZIuh9CsUkzYzcGZPwj092a/kGndDOKM2z7/0QY1e8Y1gYmgk9qxCzfn1NIX0BcVD7+CVDd6s6DASkqvjRQcVzCaoH+ERU/3YB3v7xEQgw/juJ/CNEgTfsS/HoeYfhB4eVYlovRfO6cHEw4MIZZVg2ZyiWzRna7XMMzwvg3+dPx+TiLM2PKFH5QwCI3L4IT5w/3bLdHKiVyC2JLhZjptQq1Jm9NNs5dyZNBeMTeYxRk8d7BQ7/XDIVw3PTkJfugcBzePqimThraonh2JikkBQascwuWs3vu7hMLPNDsnfioAwfXrlsjmFbloPKLxPdtBY1KXF2Pn6UbNAJec2Wei0S9NXvnEu+yYRoKmEkLht8HL0ijwyfoBFQsy8Yze/HEl7qr03N1ET18eOgEEdqxq9X1a2u+vj51IHjF3mkqaZoQCF5tOX0XsUkYvETJwS49c1tuP5/mx3vCQW9l2wTWcWPPgdzJHiHQ+5HQFcD1+5qRm2b7sPXFolpfo/ZfmuAEL0Eq6Z2xqSUKoOYS77Vtkc0xc7DW4M7WB9d1q+vNdS/07n0GPFz4YxUa9xqK22Os02/QiEKPEpM9TuTOa3aYXheAP+5YDqmusTPxQCGV+TxwNlTcdTIrlWkcQKb0y/xdQUUZllNvmZfq0QEkgakmKto5KkuId+bUOh4rFbnl+e0yPrSbD++N7EI235zPGaU5STuAMAQP5pOxqbCh9x1U6/ttRKkf6FENyLJhgk4YqO20ChrdkJuVMnV9gbnilQxk/ma9fHzCBwyvILm7G9OhE3r+rKqMk2ITcmPJCtkWuCV9z9dkH9Y0Wh7ToAZazbtpYqfuZ5znPErjEkERFUaLcEdIFj+6ne4/Z0dtsnHWVAfRrvgDkAnhsGohC+r9ZQ3NLk/bQsLahavaY+g+OY3tO1t4bimINr5idK2RiVZUxHpQiUZzFHhgDH5tvm3SEk5YEzXxPoK7lCTScsywfX/+xY7G/u+6plr6j0ASFUNpT9sQkhKlSxYdDX5pQsXLnoHOvHrnhXk/04YjbPH64FyiRzSvQ6K39LZQ/HuT4/AedPL7A5Tj9WJwHg1JybNKyoKfErvrWx14vUwJePMqkhctiauDySIVHaCneJHSQ31HYtJMtoYc100bp2X0rS8qvp3QS04xHkeY8vQSYQYFD8enIHUeUwdpudnK7NQ0yolGwQKoRTUrA4zy7KR5uHxmVqhxFbxM1TusA/uoP+LTABSjCVHap/NycNZnpSMM1GyLTgEd1CS/ep3+zDtT+9r2+s6dOJkJmb02e5R/QEpOqKSRiTtKt2wZmVzBZlkMBM/gdPVWjsf4H1MEBZL/FpVE/D00mx8sqsZe5o78d2+Dtz+znac+s/1SdvR2+iyU8u+ffsQDuuy69Chinnkrbfe6rlWDVCwjtipThmnjB+MqCQflAEaLlwciqCEr6slBSkmFWfhzImD8My3SkL3RL/tw0qz4RU4XDrbaKYWeA7HjhoEAMhJE7HEZKoFGNIoybh8zjCUD0rHzLKuqf9UnaTvLo/AW3wSmztjWLV+r2FbdyLys2zUnWy/iH0dUS1dR8SUWNnOsZ6STpZoJArqoGBzLkqyTvwumlGGIbl+g/pkDqrpiMbBc8b0OmbFTyZKahea1UEUeOT4PZrfoG0eP3VsEOLs42cu67e5rgMvbVaiteMS0UiURYVleJiURNihxI7djyV+TqRrX3tEKyfKmuhXvLUNFWqpN3OFDFo3F7AfE7Q/MUlGTJK1BOWp1OttM10r3StqZmW7+8+aelmzdYVKVqeXZWFjVSvW72nBqHzFnaI/1O5Nmfi9+OKL+NWvfoXq6moMHjwYu3fvxvjx47Fp0yYAQF5eXq818lDBCaMHJfyevohlktw/iOJ/Pzq8WwWoXbhw0Tugygz1m+sODKW9ErwLstM8CK04JaEZq/mWk9FpkyiaDQzheQ4LxhRY9kmGrDSjj59X4Cxql5n0Ad2zEHlFJbfdsSPzNV+8TJ+R+MWYCF/AXsFj/eyml2ZjY1VrSuUqQ4Ycb4qpN83D467FE1CQ4TMoZuboz2BUgk8wluXUfPxUhVKWlQTObFYHj8gjFE2UzkUlfrAm6afzCTWZ0uMp6QOUgAqqipn9LtkEzjSxMSEEkbhsKSRAo5YlJqdiKpU/6oNRpHtFcJxRgf3NK99pf7eYUuwEo3GNhNmZeikJjalqZl4gdeJnVvwCXkE7zs7U3sQsGOra9b8f36hUP6HppLbWd2juFLubQ2gMRrtc+rQnkbLefuONN2Lt2rUYM2YMKioq8NZbb2HOnDnJD3QBQCn38/RFMxLuQwczgTUKLhGSRci5cOHiwCHdJ+L5H87E3YsndPscrFkp2RqQ561pJsywC+5yMhN3BbSEJKv4JSu9BXSvXnYwGkfHrSfjlpPHatsKM5TglZA62UckGR3hxIpfGqNsdcXXMMgQh7isBHewNXJZs6M5CXZcJvCLvMEXmxIyqiTK6n7Uxw9Q0vXoVSec07kAznn8/IwvpxlRSdbIsdkXndgofg+u3YO061/BjgZjoAT18fuiqg2ZN7yKV7c2GxQ/J9R3RJDhVQJPtLQ2JsZoJn6djKnXzvxPF0FRiSDGBCDZlf0zL0DsfPy2NyjKo12Cd9bH75qXrEEwZVl+cFDIXjMT6fvoZ9bF0IFEysTP4/EgPz8fsixDlmXMmzcPn332Wbcv/Mwzz2DixInged5ynttuuw3l5eUYO3asIXH0mjVrMHbsWJSXl2PFihXa9oqKChx++OEoLy/HOeecg2g0uWzfF8hNUprMYyru7sKFi4MT359UjHmju66gUUwoUIK3ijJ93TYZJ8PS2UMwd1guLprh7Adoxk/mDjN81qsN6eZEO2WExdlTizG/G+ritJJscByH3DT9PVpqSpQsyUQzjQLArW9tt5yHVbYSVUUxI8QEg8RllaRxnOZbxy7AvSKP+8+abLhfPrUOM/sZ0BMX0yALxdSrB8tQxcmO3Kek+GmmXuvx0bisES4ziWLTq9A/X9xUCwB44Zs6w75UZduqBse8ubM5JcWvsTOGgFeAV+QRkwnWfLcP75nK85nN8DGJaL6biVIwURMtNQdvsknlYm6j2dQblwkuePxzAPb3r6bNWjGERXGWD5OKMvHZ3laDWdguGvlAIuVRn5OTg46ODhxzzDE4//zz8fOf/xzp6d03ZUyaNAnPPfccjjnmGMP2zZs348knn8SmTZuwZs0a/PSnP4UkSZAkCVdccQVeffVVbN68GU888QQ2b1YY9nXXXYdf/vKX2L59O3Jzc7Fq1aput6svoSl+JPkq34ULF4cufCKP2t8uwH8vmZkwj9/+IDfgxUdXHYWTxjtH/prx9zOn4L4zJmufqVlXj+pNrvgNy01LWLXDDt/++jjccpKi9LFlK0flByz77maCAewS9rJpS8wBDYnQzBAQiZplWXWOIWYensflRwzHXd/TVV+/aIx49puInCRbFT+vWlFF+dvZ1AtbHz+azkXpr90CIhTT1bOAR8DfTtfrtZt9GgG9NF1j0EjGwiYzql/kU1L8lApMSkWMFzfV4eQH1+H4f3xi2KchaFT8YrKstTkR8aNK6cSiTOSmeWzN+ckUPzY4xDyus/0iqtoicMJzF8/EUSPzceLYAnxZ04bKFp0kjt0PN5CeQMpvlNWrVyMQCODPf/4zTjrpJIwaNQovvfRSty88fvx4jB071rJ99erVOPfcc+Hz+TBixAiUl5dj/fr1WL9+PcrLyzFy5Eh4vV6ce+65WL16NQghePvtt3HWWWcBAC6++GK88MIL3W5XX8IjuIqfCxcuFBRm+TF3eP/znWYJCy1z5+F1VSlZBZTuZCAoyPBhsJr6Jp+xnAzN1dNaUeL1i9WbEp6LNe92RfE7/z+fa39LhGjRyro6p5+LmgVZ/0wvzxn6bvaTI+o5aVSv9ZxJTL0OUb2UKPO8NU1YKCbplSl4o1rLls2jJK4wU7n3DWbiZ8pV5xM4R+J3fHk+7jltIgDFNC/yfEJXBTPJVMzTyvUSuTnRNCyZfhGnOqQ1MrfQHHjB+s6azfcegUdduzPxm1iUCY/AoyjTD0km2KUGqwBAkU0apwOJlJY7kiTh1FNPxTvvvAOe53HxxRf3WoOqqqoMvoNlZWWoqlIcJYcMGWLYvm7dOjQ2NiInJweiKFr2P9jABne4vM+FCxf9EayfGn1nUTVE4JLnFE3FB9AMlmx6RR5vXD4Hr23Zh2wmt1+GV0gpWS4bWdtd/2jq4yfwumcdS8z0+6H3dWtTxNbUSyFDMWOy5zT02474aaZeq194bpoH2X7RICKIPGcIeAnFZEPwAktUWdJDc+NRcmk2v5pL7PlE3tHUu3DsYBzPBDp6BA6EOBO/KpM5dVt9ENNKafJx57EU0nwjOQy2Ke0GwEJOO6MSSrP9yA94EPAI2Fil5xyk4/qw0ix8XtVmIb9m0OCNdNX3s6otjDQPj/9ePBPD86xK9YFESsRPEATwPI/W1lZkZ6ce7n/CCSegtrbWsv2Pf/wjTjvttNRb2YNYuXIlVq5cCQCora1FdXU1AKC+vr5P2sOirbUFACDLMmpqanrlGv2hnwcCA6WfwMDp60DpJ9C/+9rRqk+GHc31qPaGEQ0pvl2RaBSxcGK/p2iwXXvvAqn1tbmhDq0MgZmQAUyYkYvXd7Ro2/ypcriInkA3FgrCK3AJ8/fZIRqLoz3YCRAZ++pqEPSKCHfqAQ/tjfWoljsspsTaWv293mbKTxcJh9GOODhZwr66WvhEHkTSzZyh1iZUVxuJbXub8iykuISammqD6nfOmADKA0OREWtDdbXSNoWI6m3qCEdQVav460U6WtEWt/c9q6quBQn60NDcBgBobg8anmFb0PjM5XAnog4pXGLBVrQ1MURPioHrwu1fvakOqzfVQeSB5nq90soDpwzD5S/v1j4Hwwoxi3V2IENdIGT7BGT5BOxtU76rqa4xqI0twRByvRz+d+5o3PVxNdbuadG+21ffgOpqAY+dNgJv7WjC81ta8e6uNsd2djTVI9LKIRpUfAv3NnWgICBiTCCKutremd9TRcoODhkZGZg8eTIWLFhg8O279957HY958803u9yg0tJS7N2rR7xUVlaitLQUAGy35+fno6WlBfF4HKIoGva3w7Jly7Bs2TIAwMyZM1FSoue3Yv/uCxS3iQB2IMMn9mpb+rqfBwoDpZ/AwOnrQOkn0H/7WlAPABUAgMGDi1BSko2hg2MAKiFxInKzMgA4k7ns7BxL35z7ugFjC9JR5vBOL1LfmQCQleZDVXvMdj8Wg/NzASiCRHpGJgLeNkRDydO5GMAJ8Pj88AidKCoqQaZfxKDcTgAKGSouKUZJLlV1NmqHsf3s9AYB6JGggscHj1eEzxNDSUkxfKKAzMBeAApxKCwcjJISY0qw/D0xAHvACYJl3isBMG6Esdke8UtDkEpE5pCWpSTtzsnNVcvZ7YYZmXkFKCnMgOhXAi/inEfrS1VrCGsrjYETnrQAeCEMIGQ+FXLz8jBhRCkAxSQf8PtVdbHTsm8ixGWgsKgYwNcAgJMPGw0wxC+sdjMrOxsj89IBVEEiQH6GXyN+hcXFBtVX5nYiPU3AkLJS5OcEQccJAEwvL0NJSQFKAEwcNRSXzZMQuP4VS7tWnjUFEiEYNkR5HqX1ALALDSEJQ3LSMKystNf8dlNFysTvjDPOwBlnnGHY1hv1eRcvXowf/OAHuPrqq1FdXY1t27Zh9uzZIIRg27ZtqKioQGlpKZ588kk8/vjj4DgO8+bNw7PPPotzzz0XjzzySJ+pifuLw4fl4vRJRZjexSSqLly4cHGgwJorqfmR1r+NxKWkJSq7Ul4yescphuoIZrA5A821Zp2QzgQE8BzgEwQAXSN+NIEzz+uBeAZTr0103u+OKTZ89glmU69eso0ae71JTL2az2CKihl9dvPK8zFucAb+vaHKUJLMKWckNeVS8ymbkHnSne9ZzLoSsZpR2X7kpHngE3lE4jJEmzJ/qYIedlhplmVc7VOrguT4PRis+iZ2RCXDPTUrssGohNw0Y1JyALjlpLFaQnQKJzeBM6YUG3L00XHZ1BnDxKLMPid9QBeIX0tLC37+858btv3lL3/p9oWff/55/OxnP0N9fT1OOeUUTJs2Da+99homTpyIJUuWYMKECRBFEffddx8EQblxf/vb37Bw4UJIkoSlS5di4kTFQfT222/Hueeei//7v//DYYcdhksvvbTb7epL5KR58NwPZ/V1M1y4cOHCEewkTYMBaHqKaJykENyR+iTvEXiUmuqSm7+nSDVCN4MhiDzHoTvzcFyWIamlNan+wRIK3iaA5aTROYbP5vQphNhE9SYL7tB4X2rMjwYoZPpE5KR50BmTDL5wTqmDKPGjpdk6YxJkWUn8bc6zByjE2In4edRygEWZPuxuDsHD6/kNs/1iSsm0KQSeQ+yOU9AYjNoWPShI9+J7Ewu15MnFmT7DfTQT1lBMQlGmkhuS3S/gFVIuqmAmz+y4tKs00hdIecg/8sgjlm3/+te/un3h008/HZWVlYhEIqirqzPk61u+fDl27NiBLVu24OSTT9a2L1q0CFu3bsWOHTuwfPlybfvIkSOxfv16bN++Hc888wx8Pl+32+XChQsXLpzBki2aMoQqfuG4lDSZtDk6cv/aok+yAa/zeaeWZGl/s8EdCvEzTtRzh+Xiwhm62XTdVUdarhmXiSWPX7Kk2z7BqBBl+UVD8IYsE4b4Wc9pp6SyJdtSASXdGV4RGV4Rkky0FCbeBIofrVNMCWBnVEqY+DuuVjaxA414LlYjWz0Cp6lnlHSlCp7jIAo8CrP8tguK4iwfhuamIT/di6+vORb3nzUFpdl6RO19H+3CM19W47j7PsKWfR3Y1hDU7jM7tlJVkwFr2hw2itwu4XRfIGkrnnjiCTz++OOoqKjA4sWLte3t7e1umTYXLly4GGBgyQg1NWarpduiErGYMM3oiqk3GVgyZC45xuLjnx2J9N+8CsBk6uWt6WV8Io9HfzAdj21QskMUZfnR9seTkLV8DQCl/xKxM/WyVTSsMJv4OI7D4Ewf9qhBHjJRyqcJrIpoQ7JZUJKRqtcV3S/TJzAmyKh2fic1lqqCNG1LMBpHNE7gJGDFZWhJls2gfaIEzCPw2pgpyfZjS33Q9jg7sETVLk1QbppXqws9qTgLk4qzcOyofDz1heKLef3L32om53G3vwNAT3/D3vu8JMUXjG0yfmZJY18nbqZISvzmzp2L4uJiNDQ04Fe/+pW2PTMzE1OmTOnVxrlw4cKFi/4FlmzReTfHr/v4JVf8eo74TSjM1P62K7+WH/DgjlMnGErWGeog2yh+VNH87rp5eH3LPgxK92pJkJXvOT3ZMsf447GKn00f7bpdzBI/KDnqREFXEem9HpTuRaaNKVtgFLxUQPPUZfpELYl2o1pRwisIjorff7+qwYIxBRoB7IwlVvwkmVhSvKR7BQSjEuMeoFxf5PVnUNrF/HZsc+3SBOUFrEQrO82Dy48Yhgc+UQJBzCmAKPml7cwPeDB/tNG/LxHMBJQlfqMH9W3iZoqko2XYsGEYNmwYVq1ahQkTjLUn3333XRx33HG91TYXLly4cNHPYCR+qm8Wo/j1pI9fMvg9Ao4ZmYf3dzbZKj5XHzsSSw8fatjGkhue40D5QsAjoDMmacRw7OAMjB2cYTmnh+cRicf1QAw7Hz8bCc6OVJXlpGGdmjJElgkiTG1Z5ZzKMZOLMzEow2oGpeek9z8ZaFBGhk9EoWpW3asST7/IW6RKqoY9uG4PhuWlaT5+oZiMSCyBqZcQdJrSuVCfP3p/qe+bh7mHg0z59jJ9om39XApzjkIznAKNEpVBpH2k7Rw3OCNpuVXDuU3tYJXoUycOTvk8vYmUnS2WLFmCO+64A4QQhEIh/OxnP8NvfvOb3mybCxcuXLjoZ7DzZfOJAn50+FCsWjI1aVRv3CmzbzdxxuRix+/sIi+NNdH1iTotQU1bFl6B16N6OfsEznbc1o5szB6So/0tE8Wk6re5fnl+umOtXQDIStGESNWtDJ+IEWoS4Z2NnWr7rcEd2QwJ3dnYqSl+ANAStk+dI/CKIsru+9LSWVogBe0HJUSiwGsEzuwmkCwYgiV+LOEarlZ0caqA5aRsAsaIZQAJywu+cfkczC3TVbw1lx1uDe5gjh+R1z8Uv5SJ37p167Bnzx7MnTsXs2bNQklJCT766KPebJsLFy5cuOhnYIkdm9LrwSVTsfTwoQZTKsX3JxVpf3c4JPbtLq46egRWnjUFP5huzfVnrocLAGyMBc/pgRTUVJzUVC1wRuJnE4jB2Xj52XGNc6bpef0ICEIxYzocWh2i0CHooVmNqO1qtGiWT8QwlRztblEUP5/HauplfdI6o5KhNFu7Q/Sth+cQkWRDUuxF4ws1xY/2j1a04DmdFHsEHk1/WIiLZ5Yp7UwSDMG2l+N04jpnWC7+uWQKfnrkcIfjnM9JzeFtav8yEgR2nDCmAL84Qh93M2xSsflFHkcMy8UtJ41Nuqg4UEh5tHg8HqSlpSEUCiEcDmPEiBG2IesuXLhw4eLQhZ2PHws7U+9jPzgM39S2YcmjGzC1OMt60H6A4zhcdsQwQy1UrS1MW7++5li8ta0BgxizncD4l1F1MJkPokfgIRGlXq/ABncwwRe2gRg25x2WF0D0jlNw4gNr8WV1G5pDMYMKWK/mohuUbm9qbFL987K7GC1aluNHhk9EXsCDqlal6oZX4C1qLHvezphkSN0SitsTeJHnsLHW+Cw4Dphemo11e1q0+0tJeVwmoC6KhBDkBrwoUQM/Mh36df70UnRGJcv4S/cKaIvEIfIcLj18mGP/E9WLpsovTSuTSPFTzqX/bfeMOY7Dx1cdhZiUvJzggULKo2XWrFk47bTT8Nlnn6G+vh4//vGP8d///hfPPPNMb7bPhQsXLlz0I9j5+Dl9/4ujR6CiqRMegcOcYXmoWH6CLVnsCdgRTtasS6M6m5g6s6ypl5pBnUiWdk5B399J8UtUV9d6Ph4egdPUOx8TSLKvQ0leTdPlmDFnmFJ1Y+7wrmXYoCbH/IBXI49egUMkblL8mOvuaupEbXsEk4oy8U1tu5b42QxR4LGrxVjHluM4vHLZ4fjvlzUYpwbkUJ88qpwCel49+jnPod93L56InDSPpYhEll9EWySe0JQLWM3uRZk+1KqJwq+bV66dCwCGJMgjCRifa6Lr9he1D+iCqffBBx/E6NGjceutt6K4uBh//etfMXXq1N5smwsXLly46GdIRvxYlW35CaPx7MUzNTKjBEP0DvOzMzHbRXqyQQA8Yx6sUyf+ZBM9JXUbKlsNfmx0u1/kbfvo5G8GAJtq9Tq/7P2dP7oAAFCaZW/qPX70INT97kRbM3ci5KcrhIo1pZZk+S3EhTVzflWjlGWbpSqSIdVkT+/7RTPK8NkvjobPIV1PXsCLy44YppFJSoTiMtEWA7SSRoXqdzi6wN4nTuA5W5M87U9S4mc6tFyNtj11/GDMH6Pc85/MHY67Th2PC2Ykvrfm8XQwIGXi9/DDD2Pt2rV44oknACjpXFavXt1rDXPhwoULF/0PrAO+3Txn/J47YCWq7IiArQooGIkrJQn0f+r75ngd5vjdzXotWnp9mgeuK6huC2t/s8TvtkXjsOGXR+OokfmOxw7O9BkCCFIBTTFCSe8vjh5hmwTZnOoEAEblK0Eh1BcuP+DF0SPzcMep4zFjSE7KyhYl5XFW8VO/q1DN9my6HhZO/Ioqo4midgErMaRpVqj6Sff51bxyjB1s3wZtP4cAk/6MlEfLunXrsHHjRhx22GEAgNzcXMRiyQtiu3DhwoWLQwdJffzExMSwt8ASst8uGIPWSAzTSq3+hB6DQgMtncvy+aPRGZNwuGo+NYPnFFOkUwJq3XfNGAxw6eFDulSthL2/osBjellOyscmQ8Xy+fiyqlXzZ5TVUm/Uj40lLpfMLMNx5YOwZku94Rw00ISqnRFJRlGGD4VqDr5UE3TTe2I09Srt+evpk/CbV77FjLJsNP1hIfJufM1wrNMVaKRwMgJm9vEbkqO0vcmm/FwyZHj1XIsHCe/rWnCHJEmahF1fX99rkr0LFy5cuOifMOfBM8MY3XrgwCpNJdk+/O6Isbb7mX2y6Oe8gAe/mTva8fy5aR40dsZMaVv0c9Eg1jST4vfPJdMgyQR1tTUp9qP37trwvACGq2lcAL3UWyYlfkx/rp9fjoDHSBF4DshXfSA3VLbijM4oInHZqKKm+NR1xU/WVNa8NOXcM4bk4PXLj9D2HZqbhj3NIfx58QRUt0Xgd6jSQlPMJCv9ZhYlp5dm45iRebjMlPMxFYzI9ePlH81GwCMY/DP7M1ImfldddRVOP/107Nu3D8uXL8ezzz6LW265pTfb5sKFCxcu+hnYBX+y4I4D6fPEErpESaTN7R+RF8D7O5tsc/6xGJzpQ2NnzEDMZKYeLY1SnWhjnkymQH1z7XE497EN+Ka2HQcy+JO2PsNnVcp4zupHx3OcViXk/k92453tDYjGZYN/ZSTFDlDVLS4R/OKYkRB54NQJhbb7fnTlkXhraz2WHFaa8DnRKOiynMQVQKz5Cj1474ojNR/DrmLRePt291ekTPzOP/98zJgxA2+99RYIIXjhhRcwfvz43mybCxcuXLjox7Djdd4kPoAHAsly8VHwHHDfGZMxelA6jit39qMDgMEZPnxb12HI0cf6wI0alI7nL5mZ1EfQDhOLMrFwbAG+qW1HPEEptJ4GJTq0ioax9i1nCZiJy0QjiQC0urqs4hdWTcDXHDsSJ48vRHvE3nxK7/c500og8Bx+fswox3aW5aTh4tnJ1TiabmZoFyJxASBDDQoZKFbMLnmEjhs3DuPGjeuttrhw4cKFi4MIyaJ6+yrKMVn1EAqe45DuE7F8wZik+xaqJdM6mBJi5rx3309QRSQZ2CjXAwUqcNGgDpbnCTxnex/tEhqzZJ+meclP9+L4BDVui7P8iN95KqQe7O//Lp2Nu9/bqVUlcQIlfiPy0vDZL4/Rak0PFPSfxDIuXLhw4eKggp0Fk5o8p5ZkJU1+21swB1g4oStRmFNKFBOurxtRu6lA83mTDhzxu+54JWddmZow2eD/yHG2JvNMm2fqYRJW08TO6QkqXmjXcEjL0l0cNTIfz/1wFsoLrDWWWVCiy3EcctM84A+WqIweQt/8Kl24cOHCxUEPO9NYWU4a/nHmZIwfnHjy7U0MTdHc2pX5/rp55fDwPPICHryzvbGbLXPGsjnD8MTnVTiNKW/X2zj3sFIsnlhoyLNIwTOBLyzsyDyrmFEVsSy76ybvAwXq4ydwvZdXsj+jzxS/a6+9FuPGjcOUKVNw+umno6WlRfvutttuQ3l5OcaOHYvXXtPDuNesWYOxY8eivLwcK1as0LZXVFTg8MMPR3l5Oc455xxEo8as4S5cuHDh4sDhx3OH49hyZzNfb4OaZZOhK6ZoUeDx6+PLMbEocV637qIsJw1brz8ei8YP7pXzOyHgFfVchsz94GAk9rOGZOO8w0psI1cLMvRqJw+fMw1XzCzA/DF99/yToT9V0egL9FnvFyxYgG+++QZfffUVxowZg9tuuw0AsHnzZjz55JPYtGkT1qxZg5/+9KeQJAmSJOGKK67Aq6++is2bN+OJJ57A5s2bAQDXXXcdfvnLX2L79u3Izc3FqlWr+qpbLly4cOGij5GVYu3a7lj4nMqn9QS4Plag2Bx85na8tmwO/rlkqm2C6iKmssgls4fghmOHIqsf+83lBpS2dcbs6w0f6ugz4nfiiSdCFJUf55w5c1BZWQkAWL16Nc4991z4fD6MGDEC5eXlWL9+PdavX4/y8nKMHDkSXq8X5557LlavXg1CCN5++22cddZZAICLL74YL7zwQl91y4ULFy4Oeey9cT7e+ckRyXc8wFgytRgXzih1zPNmRncqLWT3Y0KzvzArfix4jkPAK1qqewDAsCRRtP0N+QFFoQxG40n2PDTRL3z8HnroIZxzzjkAgKqqKsyZM0f7rqysDFVVVQCAIUOGGLavW7cOjY2NyMnJ0Ugku78LFy5cuOh5lOUEUJaTOHKyL/DURTMRiaeu4tBkxF1BTpo+bZ6o1nU9VOBJkIpHYAIiKI4vz8fb2xv7tbpnB1qrOBgdmIpfrxK/E044AbW1tZbtf/zjH3Haaadpf4uiiPPPP783m6Jh5cqVWLlyJQCgtrYW1dXVAJRKJAMBbj8PPQyUvg6UfgJuXw8UAtF2bQ5IFWyS33tOKE75+IPhmbKpVerrahFr0wndvtoatKlK6q3HD8GgNB7zy/OwtT4f/kgrqqvb9GP7eV/j7UocQEwiXX7+ZvT3vtqhV4nfm2++mfD7f/3rX/jf//6Ht956S1tFlJaWYu/evdo+lZWVKC0tBQDb7fn5+WhpaUE8Hocoiob97bBs2TIsW7YMADBz5kyUlJRo37F/H8pw+3noYaD0daD0E3D72rvYAAAYP2IISvK7o1xuVI4fNaxLRx0cz1TpW2FRsaqIKveqpKREM6H/hunHSIe8yv25r3kxCcDXAHqmnf25r3boMx+/NWvW4I477sCLL76IQED/4S1evBhPPvkkIpEIKioqsG3bNsyePRuzZs3Ctm3bUFFRgWg0iieffBKLFy8Gx3GYN28enn32WQDAI488oqmJLly4cOHChRPSfd2rrTp3eG636roeTDCbevsqGXdvIFUf0EMVfebjd+WVVyISiWDBggUAlACP+++/HxMnTsSSJUswYcIEiKKI++67D4KgPKS//e1vWLhwISRJwtKlSzFx4kQAwO23345zzz0X//d//4fDDjsMl156aV91y4ULFy5cHCRIVp/XCR/97Kgu+RIeCjjUchzf+/2JyAt03cfzUECfEb/t27c7frd8+XIsX77csn3RokVYtGiRZfvIkSOxfv36Hm2fCxcuXLg4NPGb+eXYXh/Uqox0B3b57A4F5Ac8aOyMIRwz1gw+lBQ/APjZ0SP7ugl9hn4R1evChQsXLlwcKNy6aDzikgxxgCfytcOW64/HhxWNWlLmv58xGZWtoQFX1uxQhkv8XLhw4cLFgINL+uyRn+7FaZOKtc8/OXJ43zXGRa/AHfkuXLhw4cKFCxcDBC7xc+HChQsXLly4GCBwiZ8LFy5cuHDhwsUAgUv8XLhw4cKFCxcuBghc4ufChQsXLly4cDFA4BI/Fy5cuHDhwoWLAQKOsBWnBxgGDRqE4cOHA1AKLRcUFPRtgw4A3H4eehgofR0o/QTcvh6KGCj9BNy+9gfs2rULDQ0Ntt8NaOLHYubMmfjss8/6uhm9Drefhx4GSl8HSj8Bt6+HIgZKPwG3r/0drqnXhQsXLly4cOFigMAlfi5cuHDhwoULFwMELvFTsWzZsr5uwgGB289DDwOlrwOln4Db10MRA6WfgNvX/g7Xx8+FCxcuXLhw4WKAwFX8XLhw4cKFCxcuBggOWuK3d+9ezJs3DxMmTMDEiRPxl7/8BQDQ1NSEBQsWYPTo0ViwYAGam5sBAN999x2OOOII+Hw+3HXXXYZz/fnPf8bEiRMxadIknHfeeQiHw7bXfOSRRzB69GiMHj0ajzzyCACgs7MTp5xyCsaNG4eJEyfi+uuvPyT7CQDRaBTLli3DmDFjMG7cOPz3v/89qPt50kknIScnB6eeeqphe0VFBQ4//HCUl5fjnHPOQTQa7bF+9nRf//KXv2DSpEmYOHEi7rnnHsdrrlmzBmPHjkV5eTlWrFihbT///PMxduxYTJo0CUuXLkUsFjsk+0kIwfLlyzFmzBiMHz8e9957b4/1s6/6unTpUgwePBiTJk0ybHe6Zl/19T//+Q+mTJmCyZMnY+7cufjyyy+1czk9LzMOhndvb/UT6N13b1/19WB5/ybqq9Nv0Iy+eP8mBDlIUV1dTTZs2EAIIaStrY2MHj2abNq0iVx77bXktttuI4QQctttt5Ff//rXhBBC6urqyPr168kNN9xA7rzzTu08lZWVZPjw4aSzs5MQQsjZZ59NHn74Ycv1GhsbyYgRI0hjYyNpamoiI0aMIE1NTSQYDJK3336bEEJIJBIhRx11FHnllVcOuX4SQshNN91Eli9fTgghRJIkUl9ff9D2kxBC3nzzTfLiiy+SU045xbD97LPPJk888QQhhJDLL7+c/P3vf++xfvZkX7/++msyceJEEgwGSSwWI/Pnzyfbtm2zXC8ej5ORI0eSHTt2kEgkQqZMmUI2bdpECCHk5ZdfJrIsE1mWybnnntujfe1P/XzooYfIhRdeSCRJ0q7VkzjQfSWEkPfee49s2LCBTJw40bDd6Zp91dePPvpIe4e88sorZPbs2YSQxM+LxcHy7u2tfhLSu+/evugrIQfP+9epr4Q4/wZZ9NX7NxEOWuJnxuLFi8nrr79OxowZQ6qrqwkhygMeM2aMYb/f/va3FqJQVlZGGhsbSSwWI6eccgp57bXXLOd//PHHybJly7TPy5YtI48//rhlv6uuuoqsXLmyp7plQV/2s6ysjHR0dPRGtyzo7X5SvPPOO4YXjyzLJD8/n8RiMUIIIR9//DE58cQTe7JrFnS3r08//TRZunSp9vn3v/89uf322y3nN/fh1ltvJbfeeqtlv7vvvpvccMMN+90fJ/RlP2fNmuVIoHoDvd1XioqKCsukk+yaPY1U+0oIIU1NTaSkpIQQkvq4PNjevYT0fD8P5LuXkN7vK8XB9P4lxNhXCrvfIIv+8v5lcdCaelns2rULn3/+OQ4//HDU1dWhuLgYAFBUVIS6urqEx5aWluKaa67B0KFDUVxcjOzsbJx44omW/aqqqjBkyBDtc1lZGaqqqgz7tLS04KWXXsL8+fN7oFdW9GU/W1paAAA33ngjpk+fjrPPPjvpNbuLA9FPJzQ2NiInJweiKAKwf849if3p66RJk/DBBx+gsbERnZ2deOWVV7B3717LfqmM3VgshsceewwnnXRSD/TKir7u544dO/DUU09h5syZOPnkk7Ft27Ye7J0RB6KvidDVa+4PutrXVatW4eSTTwaQ2rhMdb/+9u7tyX4eyHcvcGD66oT+/v5l+5oq+sP714yDnvh1dHTgzDPPxD333IOsrCzDdxzHgeO4hMc3Nzdj9erVqKioQHV1NYLBIP797393uR3xeBznnXcerrrqKowcObLLxydDX/czHo+jsrISc+fOxcaNG3HEEUfgmmuu6VZfEqGv+3kgsb99HT9+PK677jqceOKJOOmkkzBt2jQIgtCttvz0pz/FMcccg6OPPrpbxydCf+hnJBKB3+/HZ599hssuuwxLly7tcj9SQX/oa1ev2V10ta/vvPMOVq1ahdtvv71H29Hf3r093c8D9e4F+r6vBxL9qa+9+f61w0FN/GKxGM4880ycf/75OOOMMwAAhYWFqKmpAQDU1NRg8ODBCc/x5ptvYsSIESgoKIDH48EZZ5yBjz/+GOvWrcO0adMwbdo0vPjiiygtLTWsvCsrK1FaWqp9XrZsGUaPHo1f/OIXh2Q/8/PzEQgEtOufffbZ2Lhx40HbTyfk5+ejpaUF8XgcgPU59xR6oq8AcOmll2LDhg14//33kZubizFjxmDv3r1aX++///6kY/fmm29GfX097r777h7uZf/pZ1lZmXb9008/HV999VVPd/WA9jURunPNrqKrff3qq6/wox/9CKtXr0Z+fj4AOD6vg/nd2xv9PBDv3gPdVyf01/evXV+d0J/ev444IAblXoAsy+TCCy8kP//5zw3br7nmGoOD5rXXXmv43uxTs3btWjJhwgQSDAaJLMvkoosuIvfee6/leo2NjWT48OGkqamJNDU1keHDh5PGxkZCCCHLly8nZ5xxhuY43pPoT/0855xzyFtvvUUIIeThhx8mZ5111kHbTwqzjwkhhJx11lkG5+L77rtvf7pmQU/1lRA9SGH37t1k7NixpLm52XK9WCxGRowYQXbu3Kk5F3/zzTeEEEIefPBBcsQRR2jBMD2J/tTP6667jqxatYoQojzzmTNn9kQXNRzovlLY+Rclu+b+oqt93b17Nxk1ahT56KOPDPsnel4sDpZ3b2/2szffvX3RV4qD4f3r1FeKZD5+ffX+TYSDlvh98MEHBACZPHkymTp1Kpk6dSp5+eWXSUNDAzn++ONJeXk5mT9/vvbDqampIaWlpSQzM5NkZ2eT0tJS0traSghRIqbGjh1LJk6cSC644AISDodtr7lq1SoyatQoMmrUKPLQQw8RQgjZu3cvAUDGjRuntePBBx885PpJCCG7du0iRx99NJk8eTI5/vjjye7duw/qfh511FFk0KBBxO/3k9LSUrJmzRpCCCE7duwgs2bNIqNGjSJnnXWW4/H9oa9HHXUUGT9+PJkyZQp58803Ha/58ssvk9GjR5ORI0eSW265RdsuCAIZOXKk1o6bb775kOxnc3MzWbRoEZk0aRKZM2cO+eKLL3qsn33V13PPPZcUFRURURRJaWkp+ec//0kIIY7X7Ku+XnrppSQnJ0fbd8aMGdq5nJ6XGQfDu7e3+klI7757+6qvB8v7N1FfnX6DZvTF+zcR3ModLly4cOHChQsXAwQHtY+fCxcuXLhw4cKFi9ThEj8XLly4cOHChYsBApf4uXDhwoULFy5cDBC4xM+FCxcuXLhw4WKAwCV+Lly4cOHChQsXAwQu8XPhwoWLXsbvfvc73HXXXX3dDBcuXLhwiZ8LFy5cuHDhwsVAgUv8XLhw4aIX8Mc//hFjxozBUUcdhS1btgAA7r33XkyYMAFTpkzBueee28ctdOHCxUCE2NcNcOHChYtDDRs2bMCTTz6JL774AvF4HNOnT8eMGTOwYsUKVFRUwOfzoaWlpa+b6cKFiwEIV/Fz4cKFix7GBx98gNNPPx2BQABZWVlYvHgxAGDKlCk4//zz8e9//xui6K67XbhwceDhEj8XLly4OEB4+eWXccUVV2Djxo2YNWsW4vF4XzfJhQsXAwwu8XPhwoWLHsYxxxyDF154AaFQCO3t7XjppZcgyzL27t2LefPm4fbbb0drays6Ojr6uqkuXLgYYHBtDS5cuHDRw5g+fTrOOeccTJ06FYMHD8asWbPAcRwuuOACtLa2ghCCq666Cjk5OX3dVBcuXAwwcIQQ0teNcOHChQsXLly4cNH7cE29Lly4cOHChQsXAwQu8XPhwoULFy5cuBggcImfCxcuXLhw4cLFAIFL/Fy4cOHChQsXLgYIXOLnwoULFy5cuHAxQOASPxcuXLhw4cKFiwECl/i5cOHChQsXLlwMELjEz4ULFy5cuHDhYoDg/wGpUsw62TWSOQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 648x864 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the components of the multivariate forecast\n",
    "m.plot_components(multi_forecast)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Drop 'Tmax' column i.e. \"add2\" from the dataset\n",
    "\n",
    "# we make use of our univariate dataset\n",
    "daily_data.drop(columns=\"add2\", inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "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>ds</th>\n",
       "      <th>y</th>\n",
       "      <th>add1</th>\n",
       "      <th>add3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2010-09-01</td>\n",
       "      <td>2751.700</td>\n",
       "      <td>41565.380</td>\n",
       "      <td>88.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2010-09-02</td>\n",
       "      <td>570.810</td>\n",
       "      <td>38898.990</td>\n",
       "      <td>88.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2010-09-03</td>\n",
       "      <td>504.975</td>\n",
       "      <td>41665.760</td>\n",
       "      <td>106.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2010-09-04</td>\n",
       "      <td>502.275</td>\n",
       "      <td>35638.085</td>\n",
       "      <td>81.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2010-09-05</td>\n",
       "      <td>500.555</td>\n",
       "      <td>35611.410</td>\n",
       "      <td>106.80</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          ds         y       add1    add3\n",
       "0 2010-09-01  2751.700  41565.380   88.56\n",
       "1 2010-09-02   570.810  38898.990   88.56\n",
       "2 2010-09-03   504.975  41665.760  106.80\n",
       "3 2010-09-04   502.275  35638.085   81.36\n",
       "4 2010-09-05   500.555  35611.410  106.80"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "daily_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Train and test sets similar to the previous univariate model\n",
    "df_train = daily_data.loc[daily_data[\"ds\"]<\"2018-03-20\"]\n",
    "df_test  = daily_data.loc[daily_data[\"ds\"]>=\"2018-03-20\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "15:35:34 - cmdstanpy - INFO - Chain [1] start processing\n",
      "15:35:35 - cmdstanpy - INFO - Chain [1] done processing\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<prophet.forecaster.Prophet at 0x2426a640be0>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# instantiate the Prophet model\n",
    "m = Prophet()\n",
    "\n",
    "# Adding the other independent variables as regressors\n",
    "m.add_regressor('add1')\n",
    "m.add_regressor('add3')\n",
    "\n",
    "# fit the model\n",
    "m.fit(df_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Predicting the test set after the 'y' column has been temporarily dropped\n",
    "multi_forecast = m.predict(df_test.drop(columns=\"y\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "    .dataframe tbody tr th {\n",
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       "    }\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>ds</th>\n",
       "      <th>trend</th>\n",
       "      <th>yhat_lower</th>\n",
       "      <th>yhat_upper</th>\n",
       "      <th>trend_lower</th>\n",
       "      <th>trend_upper</th>\n",
       "      <th>add1</th>\n",
       "      <th>add1_lower</th>\n",
       "      <th>add1_upper</th>\n",
       "      <th>add3</th>\n",
       "      <th>...</th>\n",
       "      <th>weekly</th>\n",
       "      <th>weekly_lower</th>\n",
       "      <th>weekly_upper</th>\n",
       "      <th>yearly</th>\n",
       "      <th>yearly_lower</th>\n",
       "      <th>yearly_upper</th>\n",
       "      <th>multiplicative_terms</th>\n",
       "      <th>multiplicative_terms_lower</th>\n",
       "      <th>multiplicative_terms_upper</th>\n",
       "      <th>yhat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-03-20</td>\n",
       "      <td>1859.032817</td>\n",
       "      <td>-241.710986</td>\n",
       "      <td>4134.503988</td>\n",
       "      <td>1859.032817</td>\n",
       "      <td>1859.032817</td>\n",
       "      <td>-856.111116</td>\n",
       "      <td>-856.111116</td>\n",
       "      <td>-856.111116</td>\n",
       "      <td>1100.683302</td>\n",
       "      <td>...</td>\n",
       "      <td>-84.302103</td>\n",
       "      <td>-84.302103</td>\n",
       "      <td>-84.302103</td>\n",
       "      <td>-38.746725</td>\n",
       "      <td>-38.746725</td>\n",
       "      <td>-38.746725</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1980.556174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-03-21</td>\n",
       "      <td>1859.704951</td>\n",
       "      <td>-343.874561</td>\n",
       "      <td>4139.374881</td>\n",
       "      <td>1859.704951</td>\n",
       "      <td>1859.704951</td>\n",
       "      <td>-1026.071174</td>\n",
       "      <td>-1026.071174</td>\n",
       "      <td>-1026.071174</td>\n",
       "      <td>1125.140699</td>\n",
       "      <td>...</td>\n",
       "      <td>42.662994</td>\n",
       "      <td>42.662994</td>\n",
       "      <td>42.662994</td>\n",
       "      <td>-29.508094</td>\n",
       "      <td>-29.508094</td>\n",
       "      <td>-29.508094</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1971.929377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-03-22</td>\n",
       "      <td>1860.377085</td>\n",
       "      <td>632.646339</td>\n",
       "      <td>5151.518884</td>\n",
       "      <td>1860.377085</td>\n",
       "      <td>1860.377085</td>\n",
       "      <td>-214.891927</td>\n",
       "      <td>-214.891927</td>\n",
       "      <td>-214.891927</td>\n",
       "      <td>1125.140699</td>\n",
       "      <td>...</td>\n",
       "      <td>145.270010</td>\n",
       "      <td>145.270010</td>\n",
       "      <td>145.270010</td>\n",
       "      <td>-24.521939</td>\n",
       "      <td>-24.521939</td>\n",
       "      <td>-24.521939</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2891.373929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-03-23</td>\n",
       "      <td>1861.049220</td>\n",
       "      <td>363.274831</td>\n",
       "      <td>4844.747070</td>\n",
       "      <td>1861.049220</td>\n",
       "      <td>1861.049220</td>\n",
       "      <td>-274.811535</td>\n",
       "      <td>-274.811535</td>\n",
       "      <td>-274.811535</td>\n",
       "      <td>1057.539751</td>\n",
       "      <td>...</td>\n",
       "      <td>-44.104945</td>\n",
       "      <td>-44.104945</td>\n",
       "      <td>-44.104945</td>\n",
       "      <td>-23.646490</td>\n",
       "      <td>-23.646490</td>\n",
       "      <td>-23.646490</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2576.026000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-03-24</td>\n",
       "      <td>1861.721354</td>\n",
       "      <td>-927.952896</td>\n",
       "      <td>3557.350339</td>\n",
       "      <td>1861.721354</td>\n",
       "      <td>1861.721354</td>\n",
       "      <td>-1076.100803</td>\n",
       "      <td>-1076.100803</td>\n",
       "      <td>-1076.100803</td>\n",
       "      <td>787.311911</td>\n",
       "      <td>...</td>\n",
       "      <td>-117.785133</td>\n",
       "      <td>-117.785133</td>\n",
       "      <td>-117.785133</td>\n",
       "      <td>-26.630723</td>\n",
       "      <td>-26.630723</td>\n",
       "      <td>-26.630723</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1428.516606</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          ds        trend  yhat_lower   yhat_upper  trend_lower  trend_upper  \\\n",
       "0 2018-03-20  1859.032817 -241.710986  4134.503988  1859.032817  1859.032817   \n",
       "1 2018-03-21  1859.704951 -343.874561  4139.374881  1859.704951  1859.704951   \n",
       "2 2018-03-22  1860.377085  632.646339  5151.518884  1860.377085  1860.377085   \n",
       "3 2018-03-23  1861.049220  363.274831  4844.747070  1861.049220  1861.049220   \n",
       "4 2018-03-24  1861.721354 -927.952896  3557.350339  1861.721354  1861.721354   \n",
       "\n",
       "          add1   add1_lower   add1_upper         add3  ...      weekly  \\\n",
       "0  -856.111116  -856.111116  -856.111116  1100.683302  ...  -84.302103   \n",
       "1 -1026.071174 -1026.071174 -1026.071174  1125.140699  ...   42.662994   \n",
       "2  -214.891927  -214.891927  -214.891927  1125.140699  ...  145.270010   \n",
       "3  -274.811535  -274.811535  -274.811535  1057.539751  ...  -44.104945   \n",
       "4 -1076.100803 -1076.100803 -1076.100803   787.311911  ... -117.785133   \n",
       "\n",
       "   weekly_lower  weekly_upper     yearly  yearly_lower  yearly_upper  \\\n",
       "0    -84.302103    -84.302103 -38.746725    -38.746725    -38.746725   \n",
       "1     42.662994     42.662994 -29.508094    -29.508094    -29.508094   \n",
       "2    145.270010    145.270010 -24.521939    -24.521939    -24.521939   \n",
       "3    -44.104945    -44.104945 -23.646490    -23.646490    -23.646490   \n",
       "4   -117.785133   -117.785133 -26.630723    -26.630723    -26.630723   \n",
       "\n",
       "   multiplicative_terms  multiplicative_terms_lower  \\\n",
       "0                   0.0                         0.0   \n",
       "1                   0.0                         0.0   \n",
       "2                   0.0                         0.0   \n",
       "3                   0.0                         0.0   \n",
       "4                   0.0                         0.0   \n",
       "\n",
       "   multiplicative_terms_upper         yhat  \n",
       "0                         0.0  1980.556174  \n",
       "1                         0.0  1971.929377  \n",
       "2                         0.0  2891.373929  \n",
       "3                         0.0  2576.026000  \n",
       "4                         0.0  1428.516606  \n",
       "\n",
       "[5 rows x 28 columns]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "multi_forecast.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MSE is : 7310409.737928011\n",
      "MAE is : 973.3485175208367\n",
      "RMSE is : 2703.7769393809117\n",
      "MAPE is : 228.18212681592453\n",
      "R2 is : 0.11636589542847664\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Computing the time series evaluation \n",
    "timeseries_evaluation_metrics_func(df_test.y, multi_forecast.yhat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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