Trend and Seasonality .ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Importing Required Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "import numpy as np \n",
    "import sys\n",
    "import warnings\n",
    "import itertools\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "import statsmodels.api as sm\n",
    "import statsmodels.tsa.api as smt\n",
    "import statsmodels.formula.api as smf\n",
    "from sklearn.metrics import mean_squared_error\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import datetime\n",
    "import calendar\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Importing the Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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>Month</th>\n",
       "      <th>Sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1964-01</td>\n",
       "      <td>2815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1964-02</td>\n",
       "      <td>2672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1964-03</td>\n",
       "      <td>2755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1964-04</td>\n",
       "      <td>2721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1964-05</td>\n",
       "      <td>2946</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Month  Sales\n",
       "0  1964-01   2815\n",
       "1  1964-02   2672\n",
       "2  1964-03   2755\n",
       "3  1964-04   2721\n",
       "4  1964-05   2946"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv('Champagne.csv')\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>Sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>105.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>4761.152381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2553.502601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1413.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3113.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4217.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>5221.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>13916.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Sales\n",
       "count    105.000000\n",
       "mean    4761.152381\n",
       "std     2553.502601\n",
       "min     1413.000000\n",
       "25%     3113.000000\n",
       "50%     4217.000000\n",
       "75%     5221.000000\n",
       "max    13916.000000"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Month    0\n",
       "Sales    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There is no null values / missing values in the sales dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,4))\n",
    "plt.boxplot(data.Sales)\n",
    "plt.title('Box Plot For Sales')\n",
    "plt.xlabel('Sales')\n",
    "plt.ylabel(' Values in Millions')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can there are some high sales values as outliers. It might be due to someone had bought it as whole sale or else it could be occasion sales."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.set_index('Month',inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>Sales</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Month</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1964-01</th>\n",
       "      <td>2815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1964-02</th>\n",
       "      <td>2672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1964-03</th>\n",
       "      <td>2755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1964-04</th>\n",
       "      <td>2721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1964-05</th>\n",
       "      <td>2946</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Sales\n",
       "Month         \n",
       "1964-01   2815\n",
       "1964-02   2672\n",
       "1964-03   2755\n",
       "1964-04   2721\n",
       "1964-05   2946"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Creating a date range"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['1964-01-01', '1964-02-01', '1964-03-01', '1964-04-01',\n",
       "               '1964-05-01'],\n",
       "              dtype='datetime64[ns]', freq='MS')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dates = pd.date_range(start='1964-01-01', freq='MS', periods=len(data))\n",
    "dates[0:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>Sales</th>\n",
       "      <th>Year</th>\n",
       "      <th>Month</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Month</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1964-01</th>\n",
       "      <td>2815</td>\n",
       "      <td>1964</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1964-02</th>\n",
       "      <td>2672</td>\n",
       "      <td>1964</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1964-03</th>\n",
       "      <td>2755</td>\n",
       "      <td>1964</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1964-04</th>\n",
       "      <td>2721</td>\n",
       "      <td>1964</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1964-05</th>\n",
       "      <td>2946</td>\n",
       "      <td>1964</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Sales  Year  Month\n",
       "Month                      \n",
       "1964-01   2815  1964      1\n",
       "1964-02   2672  1964      2\n",
       "1964-03   2755  1964      3\n",
       "1964-04   2721  1964      4\n",
       "1964-05   2946  1964      5"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Year']= dates.year\n",
    "data['Month']= dates.month\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['Month'] = data['Month'].apply(lambda x: calendar.month_abbr[x])\n",
    "data = data[['Month','Year','Sales']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>Month</th>\n",
       "      <th>Year</th>\n",
       "      <th>Sales</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Month</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1964-01</th>\n",
       "      <td>Jan</td>\n",
       "      <td>1964</td>\n",
       "      <td>2815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1964-02</th>\n",
       "      <td>Feb</td>\n",
       "      <td>1964</td>\n",
       "      <td>2672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1964-03</th>\n",
       "      <td>Mar</td>\n",
       "      <td>1964</td>\n",
       "      <td>2755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1964-04</th>\n",
       "      <td>Apr</td>\n",
       "      <td>1964</td>\n",
       "      <td>2721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1964-05</th>\n",
       "      <td>May</td>\n",
       "      <td>1964</td>\n",
       "      <td>2946</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Month  Year  Sales\n",
       "Month                     \n",
       "1964-01   Jan  1964   2815\n",
       "1964-02   Feb  1964   2672\n",
       "1964-03   Mar  1964   2755\n",
       "1964-04   Apr  1964   2721\n",
       "1964-05   May  1964   2946"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Seasonality – Time Series Decomposition"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Decomposition is applied to observe the sales of Champagne vary on a month on month basis and to plot a stacked annual graph to observe seasonality in our data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Year</th>\n",
       "      <th>1964</th>\n",
       "      <th>1965</th>\n",
       "      <th>1966</th>\n",
       "      <th>1967</th>\n",
       "      <th>1968</th>\n",
       "      <th>1969</th>\n",
       "      <th>1970</th>\n",
       "      <th>1971</th>\n",
       "      <th>1972</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Month</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Apr</th>\n",
       "      <td>2721.0</td>\n",
       "      <td>3266.0</td>\n",
       "      <td>3523.0</td>\n",
       "      <td>4514.0</td>\n",
       "      <td>4121.0</td>\n",
       "      <td>4276.0</td>\n",
       "      <td>3740.0</td>\n",
       "      <td>4676.0</td>\n",
       "      <td>4788.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aug</th>\n",
       "      <td>2212.0</td>\n",
       "      <td>1759.0</td>\n",
       "      <td>1573.0</td>\n",
       "      <td>1643.0</td>\n",
       "      <td>1723.0</td>\n",
       "      <td>1821.0</td>\n",
       "      <td>1738.0</td>\n",
       "      <td>1659.0</td>\n",
       "      <td>1413.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dec</th>\n",
       "      <td>7312.0</td>\n",
       "      <td>8357.0</td>\n",
       "      <td>9254.0</td>\n",
       "      <td>10651.0</td>\n",
       "      <td>11331.0</td>\n",
       "      <td>13916.0</td>\n",
       "      <td>13076.0</td>\n",
       "      <td>12670.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feb</th>\n",
       "      <td>2672.0</td>\n",
       "      <td>2475.0</td>\n",
       "      <td>3006.0</td>\n",
       "      <td>3088.0</td>\n",
       "      <td>4292.0</td>\n",
       "      <td>3957.0</td>\n",
       "      <td>2899.0</td>\n",
       "      <td>3162.0</td>\n",
       "      <td>3564.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jan</th>\n",
       "      <td>2815.0</td>\n",
       "      <td>2541.0</td>\n",
       "      <td>3113.0</td>\n",
       "      <td>5375.0</td>\n",
       "      <td>3633.0</td>\n",
       "      <td>4016.0</td>\n",
       "      <td>2639.0</td>\n",
       "      <td>3934.0</td>\n",
       "      <td>4348.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jul</th>\n",
       "      <td>2282.0</td>\n",
       "      <td>3028.0</td>\n",
       "      <td>3260.0</td>\n",
       "      <td>3663.0</td>\n",
       "      <td>3965.0</td>\n",
       "      <td>3523.0</td>\n",
       "      <td>4217.0</td>\n",
       "      <td>4633.0</td>\n",
       "      <td>4298.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jun</th>\n",
       "      <td>3036.0</td>\n",
       "      <td>3230.0</td>\n",
       "      <td>3986.0</td>\n",
       "      <td>4539.0</td>\n",
       "      <td>4753.0</td>\n",
       "      <td>4677.0</td>\n",
       "      <td>3986.0</td>\n",
       "      <td>4874.0</td>\n",
       "      <td>5312.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mar</th>\n",
       "      <td>2755.0</td>\n",
       "      <td>3031.0</td>\n",
       "      <td>4047.0</td>\n",
       "      <td>3718.0</td>\n",
       "      <td>4154.0</td>\n",
       "      <td>4510.0</td>\n",
       "      <td>3370.0</td>\n",
       "      <td>4286.0</td>\n",
       "      <td>4577.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>May</th>\n",
       "      <td>2946.0</td>\n",
       "      <td>3776.0</td>\n",
       "      <td>3937.0</td>\n",
       "      <td>4520.0</td>\n",
       "      <td>4647.0</td>\n",
       "      <td>4968.0</td>\n",
       "      <td>2927.0</td>\n",
       "      <td>5010.0</td>\n",
       "      <td>4618.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nov</th>\n",
       "      <td>5764.0</td>\n",
       "      <td>6838.0</td>\n",
       "      <td>7614.0</td>\n",
       "      <td>8314.0</td>\n",
       "      <td>9858.0</td>\n",
       "      <td>10803.0</td>\n",
       "      <td>9842.0</td>\n",
       "      <td>9851.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oct</th>\n",
       "      <td>4301.0</td>\n",
       "      <td>4474.0</td>\n",
       "      <td>5211.0</td>\n",
       "      <td>5428.0</td>\n",
       "      <td>6922.0</td>\n",
       "      <td>6872.0</td>\n",
       "      <td>6424.0</td>\n",
       "      <td>6981.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sep</th>\n",
       "      <td>2922.0</td>\n",
       "      <td>3595.0</td>\n",
       "      <td>3528.0</td>\n",
       "      <td>4739.0</td>\n",
       "      <td>5048.0</td>\n",
       "      <td>5222.0</td>\n",
       "      <td>5221.0</td>\n",
       "      <td>5951.0</td>\n",
       "      <td>5877.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Year     1964    1965    1966     1967     1968     1969     1970     1971  \\\n",
       "Month                                                                        \n",
       "Apr    2721.0  3266.0  3523.0   4514.0   4121.0   4276.0   3740.0   4676.0   \n",
       "Aug    2212.0  1759.0  1573.0   1643.0   1723.0   1821.0   1738.0   1659.0   \n",
       "Dec    7312.0  8357.0  9254.0  10651.0  11331.0  13916.0  13076.0  12670.0   \n",
       "Feb    2672.0  2475.0  3006.0   3088.0   4292.0   3957.0   2899.0   3162.0   \n",
       "Jan    2815.0  2541.0  3113.0   5375.0   3633.0   4016.0   2639.0   3934.0   \n",
       "Jul    2282.0  3028.0  3260.0   3663.0   3965.0   3523.0   4217.0   4633.0   \n",
       "Jun    3036.0  3230.0  3986.0   4539.0   4753.0   4677.0   3986.0   4874.0   \n",
       "Mar    2755.0  3031.0  4047.0   3718.0   4154.0   4510.0   3370.0   4286.0   \n",
       "May    2946.0  3776.0  3937.0   4520.0   4647.0   4968.0   2927.0   5010.0   \n",
       "Nov    5764.0  6838.0  7614.0   8314.0   9858.0  10803.0   9842.0   9851.0   \n",
       "Oct    4301.0  4474.0  5211.0   5428.0   6922.0   6872.0   6424.0   6981.0   \n",
       "Sep    2922.0  3595.0  3528.0   4739.0   5048.0   5222.0   5221.0   5951.0   \n",
       "\n",
       "Year     1972  \n",
       "Month          \n",
       "Apr    4788.0  \n",
       "Aug    1413.0  \n",
       "Dec       NaN  \n",
       "Feb    3564.0  \n",
       "Jan    4348.0  \n",
       "Jul    4298.0  \n",
       "Jun    5312.0  \n",
       "Mar    4577.0  \n",
       "May    4618.0  \n",
       "Nov       NaN  \n",
       "Oct       NaN  \n",
       "Sep    5877.0  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "monthly_sales_data = pd.pivot_table(data, values = \"Sales\", columns = \"Year\", index = \"Month\")\n",
    "monthly_sales_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Changing the sequence to start from Jan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Year</th>\n",
       "      <th>1964</th>\n",
       "      <th>1965</th>\n",
       "      <th>1966</th>\n",
       "      <th>1967</th>\n",
       "      <th>1968</th>\n",
       "      <th>1969</th>\n",
       "      <th>1970</th>\n",
       "      <th>1971</th>\n",
       "      <th>1972</th>\n",
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       "      <th>Month</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Jan</th>\n",
       "      <td>2815.0</td>\n",
       "      <td>2541.0</td>\n",
       "      <td>3113.0</td>\n",
       "      <td>5375.0</td>\n",
       "      <td>3633.0</td>\n",
       "      <td>4016.0</td>\n",
       "      <td>2639.0</td>\n",
       "      <td>3934.0</td>\n",
       "      <td>4348.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feb</th>\n",
       "      <td>2672.0</td>\n",
       "      <td>2475.0</td>\n",
       "      <td>3006.0</td>\n",
       "      <td>3088.0</td>\n",
       "      <td>4292.0</td>\n",
       "      <td>3957.0</td>\n",
       "      <td>2899.0</td>\n",
       "      <td>3162.0</td>\n",
       "      <td>3564.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mar</th>\n",
       "      <td>2755.0</td>\n",
       "      <td>3031.0</td>\n",
       "      <td>4047.0</td>\n",
       "      <td>3718.0</td>\n",
       "      <td>4154.0</td>\n",
       "      <td>4510.0</td>\n",
       "      <td>3370.0</td>\n",
       "      <td>4286.0</td>\n",
       "      <td>4577.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Apr</th>\n",
       "      <td>2721.0</td>\n",
       "      <td>3266.0</td>\n",
       "      <td>3523.0</td>\n",
       "      <td>4514.0</td>\n",
       "      <td>4121.0</td>\n",
       "      <td>4276.0</td>\n",
       "      <td>3740.0</td>\n",
       "      <td>4676.0</td>\n",
       "      <td>4788.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>May</th>\n",
       "      <td>2946.0</td>\n",
       "      <td>3776.0</td>\n",
       "      <td>3937.0</td>\n",
       "      <td>4520.0</td>\n",
       "      <td>4647.0</td>\n",
       "      <td>4968.0</td>\n",
       "      <td>2927.0</td>\n",
       "      <td>5010.0</td>\n",
       "      <td>4618.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jun</th>\n",
       "      <td>3036.0</td>\n",
       "      <td>3230.0</td>\n",
       "      <td>3986.0</td>\n",
       "      <td>4539.0</td>\n",
       "      <td>4753.0</td>\n",
       "      <td>4677.0</td>\n",
       "      <td>3986.0</td>\n",
       "      <td>4874.0</td>\n",
       "      <td>5312.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jul</th>\n",
       "      <td>2282.0</td>\n",
       "      <td>3028.0</td>\n",
       "      <td>3260.0</td>\n",
       "      <td>3663.0</td>\n",
       "      <td>3965.0</td>\n",
       "      <td>3523.0</td>\n",
       "      <td>4217.0</td>\n",
       "      <td>4633.0</td>\n",
       "      <td>4298.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aug</th>\n",
       "      <td>2212.0</td>\n",
       "      <td>1759.0</td>\n",
       "      <td>1573.0</td>\n",
       "      <td>1643.0</td>\n",
       "      <td>1723.0</td>\n",
       "      <td>1821.0</td>\n",
       "      <td>1738.0</td>\n",
       "      <td>1659.0</td>\n",
       "      <td>1413.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sep</th>\n",
       "      <td>2922.0</td>\n",
       "      <td>3595.0</td>\n",
       "      <td>3528.0</td>\n",
       "      <td>4739.0</td>\n",
       "      <td>5048.0</td>\n",
       "      <td>5222.0</td>\n",
       "      <td>5221.0</td>\n",
       "      <td>5951.0</td>\n",
       "      <td>5877.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oct</th>\n",
       "      <td>4301.0</td>\n",
       "      <td>4474.0</td>\n",
       "      <td>5211.0</td>\n",
       "      <td>5428.0</td>\n",
       "      <td>6922.0</td>\n",
       "      <td>6872.0</td>\n",
       "      <td>6424.0</td>\n",
       "      <td>6981.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nov</th>\n",
       "      <td>5764.0</td>\n",
       "      <td>6838.0</td>\n",
       "      <td>7614.0</td>\n",
       "      <td>8314.0</td>\n",
       "      <td>9858.0</td>\n",
       "      <td>10803.0</td>\n",
       "      <td>9842.0</td>\n",
       "      <td>9851.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dec</th>\n",
       "      <td>7312.0</td>\n",
       "      <td>8357.0</td>\n",
       "      <td>9254.0</td>\n",
       "      <td>10651.0</td>\n",
       "      <td>11331.0</td>\n",
       "      <td>13916.0</td>\n",
       "      <td>13076.0</td>\n",
       "      <td>12670.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Year     1964    1965    1966     1967     1968     1969     1970     1971  \\\n",
       "Month                                                                        \n",
       "Jan    2815.0  2541.0  3113.0   5375.0   3633.0   4016.0   2639.0   3934.0   \n",
       "Feb    2672.0  2475.0  3006.0   3088.0   4292.0   3957.0   2899.0   3162.0   \n",
       "Mar    2755.0  3031.0  4047.0   3718.0   4154.0   4510.0   3370.0   4286.0   \n",
       "Apr    2721.0  3266.0  3523.0   4514.0   4121.0   4276.0   3740.0   4676.0   \n",
       "May    2946.0  3776.0  3937.0   4520.0   4647.0   4968.0   2927.0   5010.0   \n",
       "Jun    3036.0  3230.0  3986.0   4539.0   4753.0   4677.0   3986.0   4874.0   \n",
       "Jul    2282.0  3028.0  3260.0   3663.0   3965.0   3523.0   4217.0   4633.0   \n",
       "Aug    2212.0  1759.0  1573.0   1643.0   1723.0   1821.0   1738.0   1659.0   \n",
       "Sep    2922.0  3595.0  3528.0   4739.0   5048.0   5222.0   5221.0   5951.0   \n",
       "Oct    4301.0  4474.0  5211.0   5428.0   6922.0   6872.0   6424.0   6981.0   \n",
       "Nov    5764.0  6838.0  7614.0   8314.0   9858.0  10803.0   9842.0   9851.0   \n",
       "Dec    7312.0  8357.0  9254.0  10651.0  11331.0  13916.0  13076.0  12670.0   \n",
       "\n",
       "Year     1972  \n",
       "Month          \n",
       "Jan    4348.0  \n",
       "Feb    3564.0  \n",
       "Mar    4577.0  \n",
       "Apr    4788.0  \n",
       "May    4618.0  \n",
       "Jun    5312.0  \n",
       "Jul    4298.0  \n",
       "Aug    1413.0  \n",
       "Sep    5877.0  \n",
       "Oct       NaN  \n",
       "Nov       NaN  \n",
       "Dec       NaN  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "monthly_sales_data = monthly_sales_data.reindex(index = ['Jan','Feb','Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'])\n",
    "monthly_sales_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lineplot of monthwise sales across years"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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WA3kCeMdO59ZhFBYWAmC1Wlm2bBnz588HICIigoyMDMrLy7FYLKSkpBAQEMCCBQsoKCggNzcXs9mMn5+fJNVCCCGEuOlUV13m3ZeW083Vlbuf/J6jw7mhpiy3lwjsBUYrpfKVUk9dZ/f3gONADvBP4AcAWuti4NfAfuP1otEGsAD4l9HnGPB+y06lY4iPjyc0NJSsrCx8fHxYs2YNiYmJ+Pn54e/vz+DBg5kzZw4AHh4eLFy4kEmTJjF+/HgmTJjAzJkzHXwGQgghhBAdw67XXuHcyVxm/HARvb28HR3ODSnbYhydz8SJE/WBAwcatB05coQxY8Y4KCLHuBnPWQghhBBd35E9u3jv5T8xOeZh7np8tsPiUEqlaq0nNmXfLvfkRSGEEEII0bkVF+Tz4T9XMXh0AHc89l1Hh9NkklgLIYQQQogOo7rqMtteWo6zqysPPLcYJ+MZH52BJNZCCCGEEKLDML32T4pO5hL5zMJOUVddnyTWQgghhBCiQzhiNpGxcweTYx7mttubVNbcoUhiLYQQQgghHK6z1lXXJ4m1EEIIIYRwqLq6aheXTldXXZ8k1nY2d+5cBgwYQGBgYF1beno6oaGhBAUFERUVRUlJSd22jIwMQkNDGTt2LEFBQVRWVjYYLzo6usFYQgghhBBdTWeuq65PEms7mz17Njt27GjQNm/ePJYvX86hQ4eIjY1lxYoVAFgsFhISEli9ejWZmZmYTCZcXFzq+m3evBl3d/d2jV8IIYQQoj119rrq+iSxtrOwsDA8PT0btGVlZREWFgbAtGnTSEpKAiA5OZng4GDGjRsHgJeXF87Gnz7KyspYuXIlS5YsacfohRBCCCHaT1eoq66vm6MDaDPvPw9nDtl3zFuCYMbyZncLDAxk69atxMTEsGnTJvLy8gDIzs5GKUVERARFRUXExcWxePFiAJYuXcqiRYtwc3Oz6ykIIYQQQnQEXaWuuj6ZsW4Ha9euZdWqVYSEhFBaWoqrqytgKwUxm82sW7cOs9nMli1b2LlzJwcPHiQnJ4fY2FgHRy6EEEII0TZMr9vqqmc885NOXVddX9edsW7BzHJb8ff3Jzk5GbDNUm/fvh0AHx8fpk6dire37ZcpMjKStLQ03N3dSU1NxdfXF4vFQmFhIeHh4ZhMJkedghBCCCGE3Rz5JIWMj3YwKeZhht8+ydHh2I3MWLeDwsJCAKxWK8uWLWP+/PkAREREkJGRQXl5ORaLhZSUFAICAliwYAEFBQXk5uZiNpvx8/OTpFoIIYQQXUJxwSk+fOVlW131owmODseuJLG2s/j4eEJDQ8nKysLHx4c1a9aQmJiIn58f/v7+DB48mDlz5gDg4eHBwoULmTRpEuPHj2fChAnMnDnTwWcghBBCCNE2qqsus+3Ptrrqmc/+L87dulbxhNJaOzqGFpk4caI+cOBAg7YjR44wZswYB0XkGDfjOQshhBCic/rwny+T8dEOYp//VacpAVFKpWqtm7QOoMxYCyGEEEKINteauuryQ0VYzle0UWT2I4m1EEIIIYRoU62pq646fYniDVl8/UFu2wRnR5JYCyGEEEKINtOaumprVQ3FiUdx6tmNftEj2jBK+5DEWgghhBBCtBnT6/+k6MRXzHjmJ/Tx7t+svl9vP46lsBzPR0fj7O7aRhHajyTWQgghhBCiTRxtRV11ReY5Ln12BvcwH3qM8mijCO1LEmshhBBCCGF3F06fIvmVlxnsN6bZddWWry9zIelLXIa40/f+YW0Uof1JYm1nc+fOZcCAAQQGBta1paenExoaSlBQEFFRUZSUlNRty8jIIDQ0lLFjxxIUFERlZWWD8aKjoxuMJYQQQgjR0Vmqqnj3peU4d+vGzOcWN6uuWls1FzZkoS1WPOP9Ud06T7raeSLtJGbPns2OHTsatM2bN4/ly5dz6NAhYmNjWbFiBQAWi4WEhARWr15NZmYmJpMJFxeXun6bN2/G3d29XeMXQgghhGgt0xu1ddULm11XXZqSx+XjX9MveiQu3j3bKMK2IYm1nYWFheHp6dmgLSsri7CwMACmTZtGUlISAMnJyQQHBzNu3DgAvLy8cHZ2BqCsrIyVK1eyZMmSdoxeCCGEEKJ1jn6SQvqH7zMp+iGGT2heXfXlkyWUfHiCnuP64xYyoI0ibDtd6zmS9fz+v7/naPFRu47p7+nPTyf/tNn9AgMD2bp1KzExMWzatIm8vDwAsrOzUUoRERFBUVERcXFxLF68GIClS5eyaNEi3Nzc7HoOQgghhBBtpUFd9WPfbVZfa6WF4vVZOPfpjseDI1FK1W3TWjf4uaOSGet2sHbtWlatWkVISAilpaW4utqWi7FYLJjNZtatW4fZbGbLli3s3LmTgwcPkpOTQ2xsrIMjF0IIIYRomtbUVQNc/E8ONRcr8Yz3x6nnN32tVisbN27ks88+s3fIdtdlZ6xbMrPcVvz9/UlOTgZss9Tbt28HwMfHh6lTp+Lt7Q1AZGQkaWlpuLu7k5qaiq+vLxaLhcLCQsLDwzGZTI46BSGEEEKI66qtq4796a+aXVd96fNCyg8W0WfaMLoP69Ng265duzhy5AjDhnX81UFkxrodFBYWArZvXMuWLWP+/PkAREREkJGRQXl5ORaLhZSUFAICAliwYAEFBQXk5uZiNpvx8/OTpFoIIYQQHVZr6qot5yu4uCUHV98+9L57aINthw4dYs+ePUyYMIEpU6bYM+Q2IYm1ncXHxxMaGkpWVhY+Pj6sWbOGxMRE/Pz88Pf3Z/DgwcyZMwcADw8PFi5cyKRJkxg/fjwTJkxg5syZDj4DIYQQQoima01dta6xcn59FjgpPONGo5y+qaM+deoU77zzDrfeeiuRkZGdosZaaa0dHUOLTJw4UR84cKBB25EjRxgzZoyDInKMm/GchRBCCNExWKqqeGvJIkrPn+O7v/9r8x9ZvuMrSk35eH5nDG5B3nXtJSUlvPLKK3Tr1o2nn36aXr162Tv0JlNKpWqtJzZlX5mxFkIIIYQQLWJ6418tXq+6MucipSn59Jp8S4Okurq6mvXr11NVVUV8fLxDk+rmksRaCCGEEEI029FPd5P+4XtMjJrV7LrqmkvVFG/Mopt3T/o+MLyuXWvNO++8Q0FBAbNmzWLgwIH2DrtNSWIthBBCCCGa5cLpU3z4yv9jkJ8/d8Y90ay+WmsuvJ2N9VK1bWk9V+e6bXv27OHw4cPcd999+Pv72zvsNieJtRBCCCGEaDJLVRXv/vn3ODl344EWrFd9ad9pKo8U03fGbbgOdq9rP3LkCB9//DHBwcHccccd9g67XUhiLYQQQgghmsz0xr8oyj3O9B/8hD7ezXvsePWZS1zc/hXd/Txw//bguvbTp0+zefNmhgwZQlRUVKdYAaQxklgLIYQQQogmqV9XPSJkcrP66uoazicexamHM56P+NUtrVdWVkZiYiI9e/YkLi4OFxeXtgi9XUhibWdz585lwIABBAYG1rWlp6cTGhpKUFAQUVFRlJSU1G3LyMggNDSUsWPHEhQURGVlZYPxoqOjG4wlhBBCCOEIramrBrj43ldYzpbj+ehonHu7AmCxWNiwYQPl5eXExcXRu3dve4fdriSxtrPZs2ezY8eOBm3z5s1j+fLlHDp0iNjYWFasWAHYfpkSEhJYvXo1mZmZmEymBt/SNm/ejLu7O0IIIYQQjtTauuqKL85zae9p3O8cQg8/D8B2E+O2bdvIy8sjNjaWwYMH32CUju+GibVSaq1SqlApdbhe2wql1FGlVIZSaotSql+9bT9TSuUopbKUUhH12qcbbTlKqefrtd+mlPpMKfWlUmqDUsrVnifY3sLCwvD09GzQlpWVRVhYGADTpk0jKSkJgOTkZIKDgxk3bhwAXl5eODvb7owtKytj5cqVLFmypB2jF0IIIYS4WmvqqmtKLnPh7WxcBvei73Tfuva9e/dy8OBBpk6dytixY+0csWM05evGa8DLwBv12j4Efqa1tiilfg/8DPipUioAiAPGAoOBj5RSfkafVcA0IB/Yr5TaqrX+Avg98JLWer1SajXwFPD31p7Ymd/+lstHjrZ2mAa6j/Hnlp//vNn9AgMD2bp1KzExMWzatIm8vDwAsrOzUUoRERFBUVERcXFxLF68GIClS5eyaNEi3Nzc7HoOQgghhBDNkbV3T8vrqq2a4o3Z6GornvH+qG62Od3s7Gw+/PBDAgICmDp1aluE7RA3nLHWWu8Giq9oS9ZaW4wf9wE+xvsYYL3W+rLW+isgB5hsvHK01se11lXAeiBG2W75vAd42+j/OvBgK8+pw1m7di2rVq0iJCSE0tJSXF2/qSsym82sW7cOs9nMli1b2LlzJwcPHiQnJ4fY2FgHRy6EEEKIm9mFMwUk/+OvLa6rLt2dz+Wci/SLHoFLf9tkYWFhIUlJSQwcOJAHH3wQJ6euU5ncvAKZxs0FNhjvh2BLtGvlG20AeVe0TwG8gIv1kvT6+7dKS2aW24q/vz/JycmA7Rva9u3bAfDx8WHq1Kl4e9se4xkZGUlaWhru7u6kpqbi6+uLxWKhsLCQ8PBwTCaTo05BCCGEEDcZS1UV2176PU5Ozi2qq67KK6Uk+QQ9g7xxm2h7gmJ5eTmJiYl069aN+Pj4usnGrqJVXxGUUr8ALMC62qZGdtMtaL/W8b6nlDqglDpQVFTU3HAdprCwEACr1cqyZcuYP38+ABEREWRkZFBeXo7FYiElJYWAgAAWLFhAQUEBubm5mM1m/Pz8JKkWQgghRLsyvbmGwtxjTH+m+XXV1ssWzq8/inMfVzxiR6KUoqamho0bN1JSUkJcXBx9+/Zto8gdp8WJtVLqSeAB4Dta69pkOB8YWm83H6DgOu3ngH5KqW5XtDdKa/2K1nqi1npi//79Wxp6m4qPjyc0NJSsrCx8fHxYs2YNiYmJ+Pn54e/vz+DBg5kzZw4AHh4eLFy4kEmTJjF+/HgmTJjAzJkzHXwGQgghhLjZZe3dQ3rydqOuekqz+1985xg1xZV4xo3Gyc224tn7779Pbm4u0dHRDB069AYjdE4tKgVRSk0HfgpM1VqX19u0FXhLKbUS282Lo4D/YpuZHqWUug04he0Gx8e11loptQt4GFvd9ZPAOy09mY4gMTGx0fbnnnuu0faEhAQSEhKuOZ6vry+HDx++5nYhhBBCCHuqq6seNbpFddXlBwspTyuk97230t3XNiv93//+lwMHDnDHHXfUrYbWFTVlub1EYC8wWimVr5R6CtsqIb2BD5VSB43VPNBaZwIbgS+AHcAzWusao4b6h8AHwBFgo7Ev2BL0hUqpHGw112vseoZCCCGEEKJJGtRV//inza6rtpyv4MKWHFyH9aHPPbcCcPz4cd5//338/Py499572yLsDuOGV0trHd9I8zWTX631b4DfNNL+HvBeI+3Hsa0aIoQQQgghHKi2rvrBxUubXVeta6wUb8gCBZ5xo1HOivPnz7Nx40b69+/PQw891KVWAGlM1z47IYQQQgjRJK2tqy756CRVJ0vxmDWKbh49qKio4K233kIpRXx8PN27d2+DqDsWSayFEEIIIW5yra2rvnz8IqWmPNxCBuIW3B+r1UpSUhIXLlzgsccew8PDow2i7ngksRZCCCGEuIm1tq7aWl5N8YYsunn1pF/0CAA+/PBDcnJymDlzJr6+vm0QdcckibUQQgghxE0s5d8tX69aa01x0pfUlFXbltbr7kxaWhp79+5lypQphISEtFHUHZMk1nY2d+5cBgwYQGBgYF1beno6oaGhBAUFERUVRUlJSd22jIwMQkNDGTt2LEFBQVRWVjYYLzo6usFYQgghhBD2krXXzMEPWl5Xfem/Z6jMPE/fCF9cfXpz4sQJtm3bxvDhw7n//vvbIOKOTRJrO5s9ezY7duxo0DZv3jyWL1/OoUOHiI2NZcWKFQBYLBYSEhJYvXo1mZmZmEwmXFxc6vpt3rwZd3f3do1fCCGEEDcHW131X1pcV1199hJfbztO91H9cL9zCBcuXGDDhg14eHjwyCOP4Ozs3AZRd2ySWNtZWFgYnp6eDdqysrIICwsDYNq0aSQlJQGQnJxMcHBw3ULpXl5edb+EZWVlrFy5kiVLlrRj9EIIIYS4GTSoq36u+XXVutpKcWKLmAcVAAAgAElEQVQWytUZz0dHU1VdRWJiIlarlfj4eHr27NlGkXdsLXryYmewZ2M25/LK7Dqm91B37nrUr9n9AgMD2bp1KzExMWzatIm8vDwAsrOzUUoRERFBUVERcXFxLF68GIClS5eyaNEi3Nzc7HoOQgghhBC1ddUPLl5Kn/7Nq6sG+Pr9r6g+cwmv2WNRvbqxecMGioqKSEhIwNvbuw0i7hxkxrodrF27llWrVhESEkJpaSmurq6ArRTEbDazbt06zGYzW7ZsYefOnRw8eJCcnBxiY2MdHLkQQgghuprauuqQB2JbVFddcbSYsk8LcP/2YHr6e7Jr1y6ysrKYPn06I0aMaIOIO48uO2PdkpnltuLv709ycjJgm6Xevn07AD4+PkydOrXum11kZCRpaWm4u7uTmpqKr68vFouFwsJCwsPDMZlMjjoFIYQQQnQB9euq74p/stn9a0qquLApC5dBveg74zYyMjLYs2cPEyZMYPLktnuQtqWqBqtV49qjY6euMmPdDgoLCwGwWq0sW7aM+fPnAxAREUFGRgbl5eVYLBZSUlIICAhgwYIFFBQUkJubi9lsxs/PT5JqIYQQQrSKpbqabX9uRV21VVO8KQtdZcUzbjSnzhbwzjvvMGzYMCIjI1FKtUnceUeLSfz1f9m35VibjG9PHTvt74Ti4+MxmUycO3cOHx8fXnjhBcrKyli1ahUAs2bNYs6cOQB4eHiwcOFCJk2ahFKKyMhIZs6c6cjwhRBCCNFFpby5hsKvWl5XXWY+xeUvL9IvdiTlPSysf3M9vXv35tFHH6VbM5P0pqgoq+KTt3PI2neGvv17Mvz2/nY/hr0prbWjY2iRiRMn6gMHDjRoO3LkCGPGjHFQRI5xM56zEEIIIZone5+Zd19aTsgDsYR/96lm96/KL6Xw7+n09Pek92MjefXVVzl//jxPPfUUAwcOtGusWmuyPjvDJ5tyqKqwcHvErUyc4Us3V8cs36eUStVaT2zKvjJjLYQQQgjRhV08c5oPVv+1xXXV1ss1FK/PwrmXC/1mjWTzO+9w+vRp4uPj7Z5UXywsJ+WtLPKPXuCW4X0I/44/XkM6zzM9JLEWQgghhOiiLNXVvPvn5Tg5ObWorhrg4tZjWM5X4D0vCPOBvWRmZnLfffcxevRou8VZU2Pl4Icn2b89F2dnxdR4P8beNQTl1DZ1221FEmshhBBCiC6qtq465n9bVlddnl5EeepZet89lOOXC9i1axfBwcHccccddovxzPGv2fXvoxQXXGLE7f256zE/evXrbrfx25Mk1kIIIYQQXVD2PjMHP9hGyMwHGTmx+etVW4orubDlS1xv7U15oCtbXluHj48PUVFRdlkB5HKFhX3/Ocbh3adw79edyAVB3Dau49+geD2SWAshhBBCdDF1ddUjR3PX482vq9Y1muINWaDBNXooaze8Ts+ePXnsscdwcXFpdXzHPy9i9/osLpVUERzuw5SY4R1+jeqm6PxnIIQQQggh6tTWVSsnxQM//inO3ZqfCJd8fJKqEyX0eWQkG3dsoaKigrlz59K7d+9WxVZ2oZLd67P5Kv0cXj7uzJgfzMDb+rRqzI5EHhBjZ3PnzmXAgAEEBgbWtaWnpxMaGkpQUBBRUVGUlJTUbcvIyCA0NJSxY8cSFBREZWVlg/Gio6MbjCWEEEIIcT21ddXTf7CwRXXVl7/6mtKPT9Lz9v7sPLmP/Px8HnzwQQYNGtTimKxWTcauPN564TPyvigmdNYIHvnZxC6VVIMk1nY3e/ZsduzY0aBt3rx5LF++nEOHDhEbG8uKFSsAsFgsJCQksHr1ajIzMzGZTA3+vLJ582bc3TvPEjNCCCGEcKzW1lVby6ttS+t59uDIoCLS09MJDw9n7NixLY7pXH4ZSX9IZc+GL7lleF/ifjmFCfcPw9m566WhXe+MHCwsLAxPT88GbVlZWYSFhQEwbdo0kpKSAEhOTiY4OJhx48YB4OXlhbOzbfHzsrIyVq5cyZIlS9oxeiGEEEJ0VhfPnmldXbXWXNiSQ01pFRe+7cpHH+8kICCgLodpruqqGvZuyWHTb/dTer6CaXMDiPrROPr279mi8TqDLltjveu1Vyg8cdyuYw4YNpy7Z3+v2f0CAwPZunUrMTExbNq0iby8PACys7NRShEREUFRURFxcXEsXrwYgKVLl7Jo0SLc3Nzseg5CCCGE6Hos1dVsa2Vddfn+s1QcOkfVXX35T8o2Bg0axIMPPoiTU/PnYfO+KMb01lFKzlUy5tuD+PaskfRwb/1Njx1dl02sO5K1a9fy7LPP8uKLLxIdHY2rqytgKwUxm83s378fNzc37r33XkJCQvDy8iInJ4eXXnqJ3NxcxwYvhBBCiA4vddsWzh7PIfp/ftGiuurqwnIuvnsM6209eTdnF66ursTFxdXlLE1VUVqF+e0vyf7sLP0GuvHgT25nyGiPZsfTWXXZxLolM8ttxd/fn+TkZMA2S719+3YAfHx8mDp1Kt7e3gBERkaSlpaGu7s7qamp+Pr6YrFYKCwsJDw8HJPJ5KhTEEIIIUQHVXKukH2bNzBq8rcZNSm02f21xUpx4lF0N9jpnEFJSQlz5syhb9++TR9Da47uPcMnSV9SXVnDxEhfQmYMo5uLc7Pj6cykxrodFBYWAmC1Wlm2bBnz588HICIigoyMDMrLy7FYLKSkpBAQEMCCBQsoKCggNzcXs9mMn5+fJNVCCCGEaFTKm2tBa8KfmNei/l/vyKXqdBkHbjvNifyTREdH4+Pj0+T+F8+W886fP+fjN47geUsvHvvFZKZED7drUm2tqkJrbbfx2kqXnbF2lPj4eEwmE+fOncPHx4cXXniBsrIyVq1aBcCsWbOYM2cOAB4eHixcuJBJkyahlCIyMpKZM2c6MnwhhBBCdCInDh0ke5+Zbz/6nRaVgFRmFVNmPsWxkaUcPH6YO++8s25RhRupsVj5PPkkB97LxdnFiamPj2bsnYNRTq1/KmN91kuXOPn97+MWMpEBP/mxXce2N9UZsv/GTJw4UR84cKBB25EjRxgzZoyDInKMm/GchRBCCAE1FgtvLP4RNZZqZv/xb3RrZj10TWkVZ/+SRkH3i2wv/4xRo0YRFxfXpJsVTx/7GtO6oxQXXGLEhAHc9dgoevXt3tJTuabapLri84MMWfEH+kRG2v0YN6KUStVaT2zKvjJjLYQQQgjRCX2+412KT+Xx4OKlzU6qtVVTvCmbC5UlfOT0Of379+ehhx66YVJ9ucLCvi3HOLznFO79ujPzB8H4Bnu35jSuqSMk1c0libUQQgghRCdTdqGYvW+/xW23T2T4hMnN7/9JASXZhez0ykRZnYiPj6d792vPOGutOf55Ebs3ZFNRUsW4e4YyOeo2XHu0TSppvXSJvO/P71RJNUhiLYQQQgjR6exZ9yo11dXc/eTTKNW8muaqU2Vc2HGMFI8sLlaU8sQTT+Dhce0l8UqLK9m9PpvcjHN4D3Vn5g+CGTCs7R5FXptUl6elMeSPKzpNUg2SWAshhBBCdCqnjn7BF3t2MSX2UTwGDWlWX2tVDcXrj/Lf7sc5WXGWqKgofH19G9/Xqjlkyuezd46jtebbD41k3D0+OLXho8g7c1INklgLIYQQQnQaVmsNO19djbuXN1MefLTZ/b9+9ziHi3M47JLLlClTCAkJaXS/c/ml7HrzKIUnSrl1rCdT40fTx7ttH0VuLS/v1Ek1SGIthBBCCNFpZHz0AUW5x3ngx8/j0qNHs/qWHyoi58ARPu2RzYjhI7j//vuv2qe6qob9277i4Ed59OjVjfufGsvIiQOaXW7SXNbycvK+933K09IY3Ilqqq8kD4ixs7lz5zJgwAACAwPr2tLT0wkNDSUoKIioqChKSkrqtmVkZBAaGsrYsWMJCgqisrKywXjR0dENxhJCCCHEzam85Gs+Wf8GtwYG4/etO5rV13KxkhNJGezscRgPDw8efvhhnJ0bPsDlZOZ51r/4GZ8nn2RM6C08/n/fYtSkge2TVBsz1YNX/IG+nfiZHpJY29ns2bPZsWNHg7Z58+axfPlyDh06RGxsLCtWrADAYrGQkJDA6tWryczMxGQy4eLiUtdv8+bNuLu7t2v8QgghhOiYPln/Jpcryrl79veblexqq+bMW4dJ1p+DqyL+8Xh69vymrKO8pIrkNZm8+//ScXJ2InbR7dz93TH06OVynVHtoy6pTk1l8B86d1INkljbXVhYGJ6eng3asrKyCAsLA2DatGkkJSUBkJycTHBwcN0Tjry8vOq+PZaVlbFy5UqWLFnSjtELIYQQoiM6c+xLMj7+gAkzovAeOqxZfUt2niD59D4uOl3ikUcfxdvbtu601pojnxbw1v/t41haIZNm+hK3ZDKDR117hRB7uiqpfqBzJ9XQhWusL757jKqCS3Yd03VwL/pFjWh2v8DAQLZu3UpMTAybNm0iLy8PgOzsbJRSREREUFRURFxcHIsXLwZg6dKlLFq0CDc3N7uegxBCCCE6F2218vHa1bj16Uvow483q+/l3K/5OGUXJ7udY8b0GYwYYctjLp4tx7TuKKeyLzJoZF/Cv+OP56BebRF+o6zl5eTNX9Clkmrowol1R7J27VqeffZZXnzxRaKjo3E1no5ksVgwm83s378fNzc37r33XkJCQvDy8iInJ4eXXnqJ3NxcxwYvhBBCCIfKTNnJ6Zwspv/gJ3R3a3rya62w8Nm6j0nvdoIJ429n8uTJ1FisfJ58ggPvnaCbqxPh3xlNwB2DUU5tW0fdIK7apPrAAQb//vddJqmGJiTWSqm1wANAodY60GjzBDYAvkAu8KjW+oKyFfz8BYgEyoHZWus0o8+TQG1dwzKt9etGewjwGtATeA94TmutW3tiLZlZbiv+/v4kJycDtlnq7du3A+Dj48PUqVPr/iQTGRlJWloa7u7upKam4uvri8ViobCwkPDwcEwmk6NOQQghhBAOUHmpjN1vvcZgvzEE3HV3k/tprTny1j5Sqg5x6yAfIh+YyZljX7NrXRYXTl9i5MQB3PnIKHr1vfbTFtvCVUl11APtevy21pQa69eA6Ve0PQ/s1FqPAnYaPwPMAEYZr+8Bf4e6RPxXwBRgMvArpVRtAc/fjX1r+115rE6vsLAQAKvVyrJly5g/fz4AERERZGRkUF5ejsViISUlhYCAABYsWEBBQQG5ubmYzWb8/PwkqRZCCCFuQp9uWkdFaQn3zJ2Pcmr6rXFnzcfYdnI37j3diH34Ecwbctj8xzQsl2uY+UwwEfMCHZNUL/hBl02qoQkz1lrr3Uop3yuaY4Bw4/3rgAn4qdH+hjHjvE8p1U8pNcjY90OtdTGAUupDYLpSygT00VrvNdrfAB4E3m/NSTlSfHw8JpOJc+fO4ePjwwsvvEBZWRmrVq0CYNasWcyZMwcADw8PFi5cyKRJk1BKERkZycxOfjesEEIIIeyj6MRXHNyxnXH3zWDgbU3/S3x5wde8/dE7WJys3DtlJv/5wyEqSqsYd99QJj9wG6492r8S2FpRYUuq9+9n8O+Xd8mkGlpeYz1Qa30aQGt9Wik1wGgfAuTV2y/faLtee34j7Y1SSn0P2+w2t956awtDb1uJiYmNtj/33HONtickJJCQkHDN8Xx9fTl8+LBdYhNCCCFE56C15uNX/0F3d3fuiPtuk/tZq2tIem0D51Qp/m5T+GzDafrf2puZzwQzYFifNoz4OjFVVNjKP+qS6iiHxNEe7P2VpbHKd92C9kZprV8BXgGYOHFiq+uwhRBCCCE6oqOf7ib/yGGmPf1Derr3bnK/5Fe3cqyqgMEVI/i6uCd3PDyc4Lt9cHJ2zArLDZLq5b/r0kk1tDyxPquUGmTMVg8CCo32fGBovf18gAKjPfyKdpPR7tPI/kIIIYQQN6WqinJ2v7mGgcNHEnjPtCb3+zRpD/sK0rmlaiCDfIKY+vho+nj1vHHHNnJVUh0d7bBY2ktLv75sBZ403j8JvFOv/Qll8y3ga6Nk5APgfqWUh3HT4v3AB8a2UqXUt4wVRZ6oN5YQQgghxE1n3+YNlF0o5p4583Fycr5xByBtZyY7M3bhVdOX8JkP8MAPxzk+qa6tqb5Jkmpo2nJ7idhmm72VUvnYVvdYDmxUSj0FnAQeMXZ/D9tSeznYltubA6C1LlZK/RrYb+z3Yu2NjMACvllu73068Y2LQgghhBCtcf5UHqnb32Fs+H0M9vNvUp9TuUV8mLKVHsqFRx97lIGB17xdrV3UJdWffWarqb5Jkmpo2qog8dfYdG8j+2rgmWuMsxZY20j7ASDwRnEIIYQQQnRlWmt2vfYKLt27c1f8kzfuAFRcusyGV9+iSlUza+x0SaodzDGV7EIIIYQQooGc/Xs5kfE53370O/Tq53HD/bXWvPHyekrUBe7sGUzAw5PaIcprs1ZUkPeDmzepBkms7W7u3LkMGDCAwMBvJuHT09MJDQ0lKCiIqKgoSkpK6rZlZGQQGhrK2LFjCQoKorKyssF40dHRDcYSQgghRNdTfbkS0xv/wnvoMMbf37RnWmx5M5nTFV8RVDOMO+dFtOtjya9Ul1Tv++ymqqm+kiTWdjZ79mx27NjRoG3evHksX76cQ4cOERsby4oVKwCwWCwkJCSwevVqMjMzMZlMuLi41PXbvHkz7u7u7Rq/EEIIIdrff99JoqSokHvmzsfJ+cY3LO7ffYhDx/bhU+PFfdPvw8XbsTcq5j/zzDdJdUyMw2JxNEms7SwsLAxPT88GbVlZWYSFhQEwbdo0kpKSAEhOTiY4OJhx48YB4OXlhbPxj6msrIyVK1eyZMmSdoxeCCGEEO3t4tkz7N/6Nv53TGVoQNAN98//6iw7PtpKb92D+4eE0ifU54Z92kptUn1p7z4G/e63N3VSDfZ/QEyH8f7773PmzBm7jnnLLbcwY8aMZvcLDAxk69atxMTEsGnTJvLybA+hzM7ORilFREQERUVFxMXFsXjxYgCWLl3KokWLcHNzs+s5CCGEEKJjMb3xT5ycnAlLmHPDfSsuVfLv19ehlJX7mcDguCCHlYBYKysbJNX9HnzQIXF0JDJj3Q7Wrl3LqlWrCAkJobS0FFdXV8BWCmI2m1m3bh1ms5ktW7awc+dODh48SE5ODrGxsQ6OXAghhBBt6fjn+zl24DO+9VAcvT29r7uv1Wplzap1VOoS7qkO5LboYLr1695OkV4RS2Ul+T/4gSTVV+iyM9YtmVluK/7+/iQnJwO2Wert27cD4OPjw9SpU/H2tv1DioyMJC0tDXd3d1JTU/H19cVisVBYWEh4eDgmk8lRpyCEEEIIO7NUV7PrtVfwGDSEkJk3LqFIevM9zpXnMbFmBH7+o3GbMKAdorxag6T6t5JU1ycz1u2gsND2xHer1cqyZcuYP38+ABEREWRkZFBeXo7FYiElJYWAgAAWLFhAQUEBubm5mM1m/Pz8JKkWQgghupjUbVu4eOY098z5Ps7dXK67795daWQeP8CteiC3u4zAY9ZIbA+tbl9XJdWxklTXJ4m1ncXHxxMaGkpWVhY+Pj6sWbOGxMRE/Pz88Pf3Z/DgwcyZY6uh8vDwYOHChUyaNInx48czYcIEZs5s2hI7QgghhOi8Ss4VsW/LBkZOCsV33ITr7nvy+CmSTdtxpzd3Xx6D50N+OLu7tlOk37Al1c9IUn0dXbYUxFESExMbbX/uuecabU9ISCAhIeGa4/n6+nL48GG7xCaEEEKIjiHl32vBqgl/Yt519ysrvcS/33wLJ+3EA9XB9L19ED0Dr1+L3Ra+Sar3Mug3v5Gk+hpkxloIIYQQoh2dPJxO9t49TIp5mL4DBl5zv5qaGtb+/d9UWcuJcJ1A39596Bc1vB0jtbGt/vHDb5LqWY5ZXEFr7ZDjNock1kIIIYQQ7aTGYuHjV/9Bn/4DmRTz0HX33fjGVorLTxPSK4jBZe54POyHk9v1a7HtrS6p/vRTBi1b5pCkuqSqhOf3PM/GrI3tfuzmksRaCCGEEKKdHPxgG+fzT3L3k0/j4nrtpfL27PyMrBPpDOo2jNsv9KfXlFvo4efRjpE2klQ/NKtdjw+w/8x+Ht76MDu+2kFZdVm7H7+5pMZaCCGEEKIdXLp4gU83vYXv+BBGTJxyzf2OZ5/g490f0JN+RDqPwdnDmb6R7VsCYr18mfwf/shhSXV1TTUvH3yZVw+/ytDeQ3ljxhsE9w9u1xhaQhJrIYQQQoh2sOet17BUVXH3k9+75lJ5X18sITExEWV14eHhYajsS3h+fwxO3Z3bLU7r5cu2mepPPmHQsl+3e1J97OIxfrbnZxwpPsJDox5i8aTFuLl0jidRS2IthBBCCNHGTmUdITNlJ5NjHsZz8JBG97FYLKz9x5tUW6uIDJxB988v4R42hO6+fdstzquT6uvXgduT1prEo4msTF2JWzc3/nL3X7jn1nva7fj2IDXWdjZ37lwGDBhAYGBgXVt6ejqhoaEEBQURFRVFSUlJ3baMjAxCQ0MZO3YsQUFBVFZWNhgvOjq6wVhCCCGE6Fys1ho+Xrsad08vpsx67Jr7Jb6WxNcVRYwb8i18cqx0G+hG32m+7RenA5PqovIiFuxcwO/++zsm3TKJzTGbO11SDZJY293s2bPZsWNHg7Z58+axfPlyDh06RGxsLCtWrABs30wTEhJYvXo1mZmZmEwmXFy+udt38+bNuLu7t2v8QgghhLCvQzs/oDD3GFO/+xSuPXo2us/HH+zhWP4RBnYfRVjvoVgvVeP56GiUS/ukao5Mqnee2MmsrbM4cOYAv5jyC/5279/w7tn+a3XbgyTWdhYWFoanp2eDtqysLMLCwgCYNm0aSUlJACQnJxMcHMy4ceMA8PLywtnZVkNVVlbGypUrWbJkSTtGL4QQQgh7qigtwbz+TYYGBDE69K5G98n6Iofdn35MT6s3j90bTkX6OfrcMxTXIe0zuVZ3o6LZ3K5J9aXqS/zq01/xY9OPGdRrEBujNhLnH+eQR7XbS5etsc7O/jWlZUfsOmZv9zH4+S1tdr/AwEC2bt1KTEwMmzZtIi8vz4gxG6UUERERFBUVERcXx+LFiwFYunQpixYtws2tcxTrCyGEEOJq5vVvcLn8EvfM+X6jCWPx+WI2bdqIs7UHjz/yEJX/ycVliDu97x7aLvHVJdV79rRrUn2w8CA/2/MzTpWd4umgp1kwbgEuzu27RndbkBnrdrB27VpWrVpFSEgIpaWluLq6ArZSELPZzLp16zCbzWzZsoWdO3dy8OBBcnJyiI11zJONhBBCCNF6Z4/nkLHzA26fHoX3rb5Xba+qqmLtP9+kpqaG6VOj6Pl5MdaqGjwf9UM5t32KdlVS/fDDbX7Mams1qw6u4skdT2LVVl6d/irPTni2SyTV0IVnrFsys9xW/P39SU5OBmyz1Nu3bwfAx8eHqVOn4u1tqyOKjIwkLS0Nd3d3UlNT8fX1xWKxUFhYSHh4OCaTyVGnIIQQQohm0FYrO9f+Hbc+ffn2I49fvV1r/v3qBsoqLjBu2FQC+nly4aMv6TvzNlwG9mrz+KyXL5P/o/ZNqk+UnODne35OxrkMokdE8/zk5+nt2rvNj9ueZMa6HRQWFgJgtVpZtmwZ8+fPByAiIoKMjAzKy8uxWCykpKQQEBDAggULKCgoIDc3F7PZjJ+fnyTVQgghRCeSuftjTn+ZRdh35tDd7epE+YPtOzl5+hiDuo8hMmYKF989juttfXC/o/Gl+OypLqnevYdbfv1imyfVWmvezn6bR959hNySXFZMXcFv7vxNl0uqoQvPWDtKfHw8JpOJc+fO4ePjwwsvvEBZWRmrVq0CYNasWcyZMwcADw8PFi5cyKRJk1BKERkZycyZMx0ZvhBCCCFaqfJSGXveeo1Bfv4E3HX3VdsPp3/Bvv1mellv4Ts/iKFkUzZojecjo1FObXvj3pVJtccjj7Tp8Yori/nVp7/ClGdiyqApLLtjGbf0uqVNj+lISmvt6BhaZOLEifrAgQMN2o4cOcKYMWMcFJFj3IznLIQQQnRku157hbQd75Lw25cYOHxkg21nzxbyj7+/gpOlB7OfnEO/wkouvnucfrEjcZ8yqE3jsl6+TP6zz3IpZXe7JNW783fzy09+SUlVCT+e8GMSAhJwUp2vWEIplaq1ntiUfWXGWgghhBDCTopO5vL5B9sYd9/0q5LqiooKXl/zJrpGEREezcB+PSl84yg9RnvQa3LbzuJaq6q+SapffKFNk+oKSwV/OvAnNmRtYJTHKF65/xX8PPza7HgdiSTWQgghhBB2oLXm41dX092tF3c89t0G26xWK2+uTaT8chnjh93DxLtHUfSPdOjmhMdDo9p07WZrVZWt/KM2qX700TY7Vub5TJ7f/Ty5Jbk8EfAEz054lu7O3dvseB2NJNZCCCGEEHaQ9elu8r84zH3znqFn7z4Ntm37z/sUFJ1kSPcgop68g9Ld+VSdLMUzbjTOfdou8WyQVL/Qdkl1jbWGVzNfZdXnq/Ds6ck/7/8n3xr0rTY5VkfW5RJrrXWnfmJPc3TW+nghhBCiq6mqrCDlzTUMuG0EQffe32Bb6v7PScvYj3u1D4//+AFqisop+ejE/2fvvsOjKvo2jn/Ptmx6742EXkLvHekKqIiK7UFeARUBsQtYULFigQdRVEDQBxVEBClKEYK0UEIPnQDpvSfbd94/EhEktGRDnc915YKcnTMzESR3Zuf8BucYP5yb+dfYnC4I1Q/WTKhOLUll4qaJ7M7aTd9afXm9/et4OnnWyFg3ulsqWOv1enJzc/H19b3lw7UQgtzcXPR6/fWeiiRJkiTd9uKWLKQkP4+Bz09ApVKfvZ6aksqKlcvRmj0ZOuxeXNy0ZM1LQOWsweueOjWWV+xmM6ljx9VoqBZCsCJxBe9ufxcFhfc6v8eA6AG3fAa7lFsqWIeFhZGSkkJ2dvb1nso1odfrCQsLu97TkCRJkqTbWl5aCvErllBSU7MAACAASURBVNK4Wy9C6v1Tqau4uJjv5y9AsWnp230AYfV9KVx9GktGKb7/aYTatWZOG/w7VJds3EjQ5Mk1EqoLTYW8ve1t1pxZQ8uAlrzX5T1C3Wq+BveN7pYK1lqtlqioqOs9DUmSJEmSbhPlDyx+hUano8vDw85et1qtfPftAoxmIy0ietGqdx1MSUUUxybj0ioQ50a+NTKfC0L10AcdPsa2tG28tvk18ox5PNvyWYY3Ho76nFX629ktFawlSZIkSZKupRO74jizfw89ho3E1csbKA/bvy7+jey8DMK0Lbjr8XYIi538RcdQezrhNTC6RuZiN5tJHfdsjYVqk83E9N3T+f7Q90R5RjGj5wwa+TZy6BiVEgL2/QTekRDZsebHqwYZrCVJkiRJkqrAYjYRO/8bfMMiaNbnn5OT47ZuJ+HIfjzMtXhwXF80WjUFv53EmmPAb0QMKr3j45f4O1THxhI0+U2Hh+qjeUd5ddOrnCg4wdD6Q3m+9fM4a5wdOkalCpJhxXg4sQ6aPiiDtSRJkiRJ0q1o57LFFGVncf/r76HWlEeqU4mnWLN2NTqTDw8MG4S7jx7jiXxKtqbh1jEEfR2vGplLxrvvnROqhzqsX7uw8/2h75m+ezoeOg9m9pxJ17CuDuv/4gPbYdccWDe5fMW6/0fQZkTNj1tNMlhLkiRJkiRdpYLMDHYsW0z9Dl2IaNIUgPz8fH784SdUVj29u91JWAMf7EYr+YuPo/FzxqNfrRqZS/5PCylYuBDfkSMcGqozSjN4bfNrbM/YTo/wHkzuOBkfvY/D+r+onBPw21hI2grRPWDg9PJtIDcBGawlSZIkSZKuUux3s1FUKro99gQAZrOZ7+b9D4vZSvOw3rTuWxuAguWJ2ApN+D/dDJXO8Q/4lcXHkzFlCq5du+A/frzD+v3j9B+8ve1trHYrb3V8i3vr3FvzZfRsVtj2OcS+DxonuHsmNH8EbqLyfTJYS5IkSZIkXYVTe3ZxclccnR8ahruvH0IIfl74C/kFuYRp2nDn/7VBURQMh3Ipi8/EvXs4ThEel+/4KlnS00kZ9yy60FBCP/4YRV394F5sLub97e+zPHE5Tf2a8n6X94nwiHDAbC8j4wAsGwPpe6HBALjrE3APqvlxHUxVnZsVRXlOUZQERVEOKoryo6IoekVRohRF2a4oynFFURYqiqKraOtU8fmJitdrndPPhIrrRxVF6Vu9L0mSJEmSJKlmWC0WNsz/Gu/gEFrddQ8AsRs2cvzkUTxNdXhg9B1odWpspRbylxxHG+SKRy/HB1O70UjKmLEIo5GwL2ai9qh+cI/PjGfIb0NYdWoVTzd7mvn959d8qLaaYP0U+Lo7FKXC/fPgwf/dlKEaqhGsFUUJBcYBrYUQTQA1MBT4EPhMCFEXyAeeqLjlCSBfCFEH+KyiHYqiNKq4rzHQD/hCURRZDFGSJEmSpBtO/Mql5Ken0ePxJ9FotRw5coSNf8XiZAhg8GP98PBzRghBwdIT2A1WvB+sj6Kp1jrmBYQQpL/xBsaEBEKmfoRT7drV6s9iszAtfhrD/yivRz2//3xGNx+NRlXDGxuSd8JXXeGvqdBkCDyzAxrfe1Nt/fi36v5JawBnRVE0gAuQDtwBLK54fT5wT8Xv7674nIrXeyrlm3XuBn4SQpiEEKeAE0Dbas5LkiRJkiTJoYpzc4hb8hO1W7cnqnkrsrKyWPzzL2gsbvTq1pfIxn4AGPZlYziQg0evSHTBrg6fR968+RT9thy/cWNxv+OOavWVWJDII6seYc7BOQyuO5jFAxfTzL+Zg2Z6EeZS+GMizOkNpmJ4+GcY/BW4XIMHI2tYlX8UEUKkKoryMZAEGIA1QDxQIISwVjRLAf4+3zIUSK6416ooSiHgW3E97pyuz71HkiRJkiTphrDx+zkIu50ew0ZgMBj433cLsJuhWVgXWvcvP/TFVmQif9lJdBHuuHcNc/gcSrZsIWvqVNx798bvqaeq3I8Qgp+O/sQnuz7BWePMtB7T6BnR04EzvYjEjbB8HOSfhtZPQK/JoHf8/vPrpcrBWlEUb8pXm6OAAuBnoH8lTcXft1zktYtdr2zMUcAogIiIa7CRXpIkSZIkCUg6uJ+j2zbRYchDuPn689387ykqLiJc047+w1uhKApCCPIWHwerHe/766GoHbulwZyUROrzL+BUuzYhH7yPoqraxoMcQw6vb3mdzamb6RTaiXc6voO/i79D53oBYyGseR12zwefaHh8JdTqXLNjXgfV2TzTCzglhMgGUBRlCdAR8FIURVOxah0GpFW0TwHCgZSKrSOeQN451/927j3nEUJ8DXwN0Lp160rDtyRJkiRJkiPZrFbWfzsLD/9A2tw9hLVr1nIm6TRehgbc90JXdBUnKZbuyMB0LB+vgdFo/V0cOgd7aSkpz4wBIGzm56hcq7bF5M+kP3lr61uUWcuY2G4iQ+sPrfkyekd/hxXPQUkmdBwH3SeAzrH/fW4U1dljnQS0VxTFpWKvdE/gELABGFLRZhiwrOL3v1V8TsXr64UQouL60IqqIVFAXWBHNeYlSZIkSZLkMPvWrCQ3JYnuw0aQcOgwcdvj0JeFcM9jvfAKLA+I1lwDhSsTcartiWuHEIeOL+x20l6dgOnkScI++xRdFd61L7OUMXnrZMZvGE+QaxCLBizioQYP1WyoLs2BxU/Aj0PB2QdGrIM+79yyoRqqt8d6u6Ioi4HdgBXYQ/lq8krgJ0VRplRcm1Nxyxzge0VRTlC+Uj20op8ERVEWUR7KrcAzQghbVeclSZIkSZLkKKUF+WxZtIBazVriHBzOj3O+RWvypEeXntSKKX9YUdgFeYuPgaKUbwFROTas5syaRfHatQS88gquHTte9f37svcxYdMEUopTeKLJEzzT/Bm0aq1D53geIeDgL/D7y2Asgu4TofNzoNHV3Jg3iGrVURFCvAm8+a/LiVRS1UMIYQTuv0g/7wLvVmcukiRJkiRJjrbph/lYzWbaPvAoPyz4EawaGod2pu1d0WfblGxJxXyqCO8hddF46R06fvH69eT8dwYegwbi8/iwy99wDqvdytf7v+br/V8T4BLA3L5zaR3U2qHzu0BRGqx4Ho79DqGtYNDnENioZse8gciTFyVJkiRJkiqRduwwCRvX0Wrgffz+50YMZQbCVe3p/0SLs6vSlsxSClefRt/QB5dWgQ4d33TyJGkvvYy+SROC3377qrZtJBUlMWHTBPbn7Gdg9EAmtJuAu87dofM7jxDlDyaueR1sFujzLrR/GlS319EkMlhLkiRJkiT9i91u48+5s3D19iFP70HaiQN4lzbmnhc64eRcHp+EzU7ez8dQ6dR4D67r0P3KtqIiUkY/g6LXEzbjv6j0V7YSLoRgyfElfLjzQzQqDVO7TqVfVD+HzatSeYnw2zg4vQlqdYGB08G3eofW3KxksJYkSZIkSfqXA3+uIevUSere8xC7Dx7ApSSCAY90w+ecA1+KNyRjSSnB55EGqN0dt39Y2GykvvAi5tRUIufPQxscfEX35RnzmLx1MhuSN9AuqB1TOk8hyLUGjwa322D7LPjzHVBpYMA0aDkMqlgG8FYgg7UkSZIkSdI5DMVFbP7pO7wbNmXPsRPojL506dSV2i0CzrYxpxRTtD4Z5+b+uMQ4tgZ09rRplG7aRNDkN3Fp1eqK7jmSd4Sn1z1NoamQF1u/yGONHkOl1GDAzToMy8ZA6i6o2xcGfAae8nw/GawlSZIkSZLOsWXh9xgsFgq1bqgMGhoFt6fd3f9sbRAWO3mLjqFy1eI9yLFbHgpXriT3m9l4PfAA3kOHXtE9x/OPM3LNSPQaPT/e9SP1feo7dE7nsZphyzTY+BE4ucPg2RAzBGq6FvZNQgZrSZIkSZKkCpmJJ9j75xrsjdtgNdsJoyX9RjRHdU4JvcK1p7FmleE7vDEqF8eVrTMeOkT6pNdwbtmSoNcmXdE9iYWJjFgzAq1Ky5w+c4jwqMGTqVN3w29jIfMgNLkP+n0IbjV8YuNNRgZrSZIkSZIkyg9iWfftLCwRdTBZrfgUN2XQ8+3Ru/4Tnk2nCynZlIpr2yCc6/s4bGxrXh7JY8ag9vQkbPo0FN3l92wnFSUxcvVIAGb3nV1zodpigNj3YesMcA2AoT9CgztrZqybnAzWkiRJkiRJwKFNGziTV4jZPxTXomj6P9QJvzC3s6/bTTbyFh1D7a3H864oh40rLBZSxz+HLSeXyAUL0PhffhU4rSSNEWtGYLabmdt3LtGe0Ze9p0pObylfpc47CS0egz5TwNmrZsa6BchgLUmSJEnSbc9UVsqaXxZh9g/FqSyADh3aU7fN+XWpC1clYss34j+yKSonx0WozA8/omzHDkI+/ADnmCaXbZ9RmsH/rf4/SiwlzOkzh7redR02l7NMxbBuMuycDV6R8J9lEN3d8ePcYmSwliRJkiTptrd2wXwKPQPQmPXUD2pLx8F1znvdeCyf0u0ZuHUOxSna02HjFvyyhPz//Q+fYcPwvPvuy7bPLstmxJoRFJgK+Kb3NzT0beiwuZx1fB0sfxaKUqH9aLjjNdC5Xv4+SQZrSZIkSZJubynHjxJ/KhmVWkcwbeg/qikq9T+l6uxlFvIXH0MT4Ixn31oOG9ewdy8Zkyfj2rEDAS+9eNn2uYZcRqwZQVZZFl/1/ooY/xiHzQWAsjxYPRH2/Qh+9eGJNRDe1rFjVEGpycoHvx+haZgn97cOv97TuSQZrCVJkiRJum3ZbDZ+XLAAodHiVdiIQS+0xdnt/AcHC5YnYisxE/Cf5ihax9SGtmRmkTJ2HJrAQEI++QRFc+lIVmAsYNTaUaSVpPFFry9oEdDCIfM4K2EprHoRDPnQ9aXyD42TY8eogi0ncnjll/2kFhgY61oDW14cTAZrSZIkSZJuW4u+m0cpKlzynOn7aFf8I9zPe91wMIeyPVm494xAF+Z+kV6ujt1sJnXcOGylpdSaPRuNt/cl2xeZi3hy3ZOcLjzNjJ4zaBPUxiHzAKA4ozxQH14Owc3gsV8hyMEr4VWZltHC+78f4YftSUT7ubL4qQ60inRcFZaaIoO1JEmSJEm3pV07d3D0TDK6/CLadR5Kg/bnHx1uKzaT/+txtKFueNzhmC0IQggy3noLw759hE6fjr5+vUu2L7WU8vS6pzmWf4zpPabTMaSjQ+aBELD3B1g9ASxG6DUZOowF9fWPhpuOZ/PqLwdILzQwqms0z/euh16rvt7TuiLX/7+eJEmSJEnSNZaSksLKlatQlxYR6dWZzvefH3CFEOT/egK7yYb/A/VQ1I7ZApK/4AcKf1mC79NP4dG3zyXbllnKGL1uNAk5CXzS7RO6hnV1yBwoSILl4+HknxDRAQbNAL/rv82iyGjh/VWH+XFHMtH+rvz8VEdaRV56Nf9GI4O1JEmSJEm3laKiIn5YsADMJjwLdNz7+gDU/wrOZbuzMB7KxfPOKLSBjqmIUbp9B5nvv49bjx74jx17ybZGq5Fx68exN3svH3b9kJ6RPas/Abu9vHzeusnlR5Df+TG0fgJUjvmhoTpij2YxYckBMouMPNktmud63Tyr1OeSwVqSJEmSpNuGxWJh4cKFGErLcE49w8AX3sfF4/yHFa0FJgp+O4mulgdunUMdM25qKqnjx6OLjCRk6kcolwizZpuZ8bHj2ZGxg3c7v0u/Wv2qP4Gc4+UHvSRtg9o9YeA08KrB48+vUKHBwrsrD7FoVwp1Atz45emOtIi4uVapzyWDtSRJkiRJtwUhBCtWrCA1NRV92kkat+5LVNPI89vYBfmLj4EQ+NxfD0WlVHtcu8FA8pixCKuVsJmfo3Zzu2hbi83CC7EvsCV1C291fIuBtQdWb3CbFbb+F2I/AK0z3PMlNHuofMX6OttwpHyVOqvYyOjutRnXs+5NuUp9LhmsJUmSJEm65WVnZ7Nlyxb27duHLicXd5zo9/QjF7Qr3Z6O6UQBXvfUQePrXO1xhRCkT5qE6cgRwmd9iVPUxY9Ct9qtvLLpFWJTYpnUbhKD6w6u3uDp++G3MZC+DxoOhDs/AffAy99XwwrLLLy94hC/7E6hXqAbXz3WiWbht8Yx6TJYS5IkSZJ0SxJCkJiYyLZt2zhx4gRqtRp9sQpN9inumvAO6n/VjrbkGChcdQqnet64tgtyyBxyZ8+maNXv+D//PG7dul20nc1uY9LmSaw9s5aXWr/E0AZDqz6o1QQbP4It08DZBx74Dhpd/lTHa+HPw5lMWHKA3FIzY3rUYWzPOjhpbu5V6nPJYC1JkiRJ0i3FYrFw4MAB4uLiyMrKwtXVleaN2pK22YAh63uiW3WkVvPzD1gRdkH+z8dArcLnvrooDtgqUfLXX2R/+hked/bHd+SIi7azCztvbn2TVadW8WzLZ/lP4/9UfdDkHbBsDOQchWYPQ993weX6138uKDPz9vJDLNmTSoMgd+YMa0NMmOOOhr9RyGAtSZIkSdItoaSkhJ07d7Jz507KysoIDAzk7rvvxpzqwY6lW7EZV6PRqun5fyMvuLf4rxTMZ4rwebA+as/qnzhoOnWK1BdexKl+fYKnTLloUBdCMCVuCstOLmN0s9GMiLl4AL8kqxnWvQlxX4JnGDzyC9TtVY2vwHHWHspk4q8HyC81M65nXcb0qINOc/0rkdQEGawlSZIkSbqpZWRkEBcXx4EDB7DZbNSrV4/27dsTGhzO+nkJHI37AZtxBx4Bgdw19jU8/PzPu9+SUUrR2jM4N/bFubn/RUa5craSElLGjEXRaAj7/HNULi6VthNC8OHOD/n52M880eQJnmr2VNUGtJrh52FwdBW0GVF+2IuTY06JrI78UjNvLU9g6d40GgZ78O3jbWgSeuutUp9LBmtJkiRJkm46drud48ePExcXx6lTp9BqtbRs2ZJ27drh5+dHYXYZi6asJfvUEoQtg8bdenLH8CfROZ8fcoXVTt7Co6icNXjdW6faW0CE3U7aSy9jPn2aiLlz0YVVXq5PCMFn8Z+x4PACHmv0GM+2fLZqY9sssHh4eai+82Noe+Fq/PXwx8EMXlt6kIIyM+N71WV091t3lfpcMlhLkiRJknTTMJvN7N27l+3bt5Obm4u7uzu9evWiZcuWuFSsDJ85mMPKGT9iKFyPzklH33GvUq9950r7K1qfhCW9FN/HGqF201Xa5mrkfP45JRs2EDhpEq7t2l603cy9M/k24VserP8gL7V+qeqh+pcn4MgK6P/RDRGq80rNvPlbAsv3pdEo2IPv/q8tjUI8rve0rhkZrCVJkiRJuuEVFhayY8cO4uPjMRqNhISEcN9999GoUSPU6vKqEkIItv92iG0/f43dcpKQek0YMP5F3H39Ku3TnFxMcWwyLi0DcG7sW+05Fq1ZQ84XX+I5eDDej15Yyu9vX+//mq/2f8V9de9jYruJVQzVVlgyEg4tg77vQbsnqzFzx1h1IJ3Xlx6kyGjhhd71eKp7bbQOOgr+ZiGDtSRJkiRJN6zU1FS2bdvGoUOHEELQoEEDOnToQHh4+HmB1GKyseyzZZzZuxAFI50fGk7bQfde9IRDYbGRt+goancnvAbVrvY8jUePkfbqBPTNmhI0+c2LhuV5B+cxY88MBkYP5PX2r6NSqhA87Tb49UlI+BV6vwMdnqnm7Ksnp8TEm8sSWHkgnSahHiy4vx0Ngm6fVepzyWAtSZIkSdINxW63c+TIEbZt20ZycjI6nY62bdvSrl07vL0vPO46L72QRe/8l9Lc7bh4BXHfhPcJqBV9yTEK/ziNNduA3xNNUOmrF4dsBQWkjBmD2tWVsP/OQKWrfEvJgsML+CT+E/rW6svbnd5GrapC/Wa7DZY+DQcXlz+k2GlcteZeHUIIVh5I541lCZQYrbzUtz6jukbfdqvU55LBWpIkSZKkG4LRaGTPnj1s376dgoICvLy86Nu3Ly1atECv11d6z4ENe1k3exp2aw512vbmzrFPodVdulye8WQBJVvScO0QjL7uhUH9agirldTnn8eakUHk99+hDQyotN3Px37mgx0f0DOiJ+93eR+NqgoRzG4rr1G9fyHc8Tp0fq5ac6+O7GITbyw7yO8HM2gW5snU+5tRL/D6VyK53mSwliRJkiTpusrPz2f79u3s3r0bs9lMREQEffr0oUGDBqguspXDbrOxfPp3nNi+FJVGT5+nJhDTo9Nlx7IbreT/fAyNrx7P/hc/XvxKZX38CaVbtxH87hScmzevtM2yE8t4e9vbdA3rytSuU9GqtFc/kN0Oy8fBvh+g+0To+mI1Z141QgiW70/nzWUHKTXZeKVfA0Z2iUJzG69Sn0sGa0mSJEmSrjkhBElJScTFxXHkyBEURaFx48bl9adDKy9R97f8zCwWTX6PkrwTuPs15ME3X8Uz4MoePixYkYit0IT/U81Q6ap3lHbhsmXkzZuH9yOP4HXffZW2WZW4ije2vkGH4A582v1TtOoqhuoV42HP/6DbK9D9lWrNu6qyio28vvQgqxMyaR7uxdQhTakrV6nPI4O1JEmSJEnXjM1mIyEhgbi4ONLS0tDr9XTq1Ik2bdrg6Xn5w0P2rYtl/dyZ2G0W6nYYyoBxD190Vftcwi4o3ZFB2a5M3LuF4RRZvYfrDAcOkv76G7i0bUvgq5UH3bVn1jJx80RaBbZi+h3TcVJX4URHIWDVC7B7PnR5EbpPqNa8q0IIwbK9aUxenkCZ2cbEOxvwROdo1KrqH/t+q5HBWpIkSZKkGldWVkZ8fDw7duyguLgYX19f7rrrLpo1a4buIg/7nctsNLBi+gxO7f4LlTaQPqPGE9M95rL3CbvAkJBL0dozWLPK0EV64NE7slpfizUnh5SxY9H4+RE67TMU7YWr0LHJsby88WVi/GL4/I7PcdY4X/1AQsCql2DXXOg0Hu54Dap5gM3VyioyMvHXg6w7nEnLCC8+GtKMOgFu13QONxMZrCVJkiRJqjE5OTnExcWxb98+LBYLUVFRDBw4kDp16lzRSjNA2rEjLJ36IYaibFx9O3L/pDH4hl56xVkIgfFoPkVrTmNJK0Xj74zPww1wbuKHUo2VVmE2kzLuWWwFBdT68Qc0Pj4XtNmcupnnY5+ngU8Dvuj1BS7ayo80v8wXAH+8Cju/gY5jyyuAXMNQLYTg1z2pTP4tAZPVzmt3NWR4pyi5Sn0ZMlhLkiRJkuRQQghOnTrFtm3bOH78OGq1mpiYGNq3b09QUNAV92O32di2+Cfifl0IiiuRzUcyaPxd6JwvHl+EEJhOFlC05gzmpGLUPnq8H6iHS/OAagXqv2W8+x6G3bsJ/fQT9A0bXvD69vTtjN8wntpetZnVexbuuirsQRYCVk+C7bOg/TPltaqvYajOKDQy8dcDrD+SRetIbz4a0pRof7lKfSVksJYkSZIkySEsFgsHDx4kLi6OzMxMXFxc6NatG23atMHN7eqCWUFmBiumTSUz8SgqXQPaDx5O+7sbXTIcm04XUrTmDKbEQtSeOrwG18G1VSCKgypW5P+0kIKFC/EdOQKPO++84PX4zHjGrh9LuHs4X/f+Gk+ny+8Zv4AQsPZ1iJsJ7Z6Cvu9es1AthGBxfApvrziExWbn9QGNeLxjLblKfRVksJYkSZIkqVpKSkrYtWsXO3fupLS0lICAAAYNGkRMTAzaSvYfX4oQgkN/rWfdnC+xmu3ove7iztFDiGrmf9F7zCnFFK45g+lYPio3LV4Do3FtG4yidVwJuLL4eDKmTMG1axf8x4+/4PV92fsYvW40Qa5BfNPnG7z1VaiPLQSsmwxbZ0CbkdDvg2sWqtMLDUxYcoDYo9m0reXDR0OaUsvP9ZqMfSuRwVqSJEmSpCrJzMwkLi6O/fv3Y7PZqFu3Lu3btyc6OvqiR3pfiqGkmHXffM6xuC2oNKH4R9/LwHFd8A6qPOBZMkopXHMG46FcVC4aPPtH4dohuNpl9C4YJz2dlHHPogsNJfTjj1HU5/efkJvA02ufxtfZl9l9ZuPn7Hf1gwgB66fAlmnQ+v/gzqnXJFQLIVi0K5kpKw5jtQsmD2zEfzrUQiVXqatEBmtJkiRJkq6Y3W7nxIkTxMXFkZiYiEajoUWLFrRr1w5//4uvKl9O0sF9/P75p5QU5KPRd6Z2m770fiIGp0r2U1uyyyhal4RhfzaKTo1H70jcOoVU+2jyytiNRlLGjEUYjYR9Nx+1x/kPTR7NO8qTa5/Ew8mDOX3mEOBS+cmLlxX7Pmz6GFoOgzs/uSahOrXAwKu/7GfT8RzaRZWvUkf6ylXq6qjW30BFUbyA2UATQAD/BxwFFgK1gNPAA0KIfKX8R9fpwJ1AGfC4EGJ3RT/DgNcqup0ihJhfnXlJkiRJkuRYZrOZffv2ERcXR25uLu7u7vTs2ZNWrVrh4lKFqhcVrBYLWxZ+z64Vv6LR+aBzG0rbQe1pOyDqgv3U1jwjRevOULYnC0Wrwr17OO5dQlG5VOHQlSsghCD9jTcwJiQQ9sVMnGrXPu/1kwUnGbV2FHq1ntl9ZhPsFly1gWI/hI0fQotHYcA0uMJqKVUlhOCnncm8u/IwdiF45+7GPNIuUq5SO0B1f7SbDvwhhBiiKIoOcAEmAn8KIT5QFOVV4FXgFaA/ULfiox3wJdBOURQf4E2gNeXhPF5RlN+EEPnVnJskSZIkSdVUVFTEjh07iI+Px2AwEBISwuDBg2ncuDFqdfW2XOSmJLFyxsdkn07Eya05Wpdu9P6/5kS3OH/l21poonh9EqU7M0EFbp1Cce8ehtrt8vWvqyNv3nyKfluO37ixuN9xx3mvnS48zYg1I1ApKub0nUOYe1jVBvnrY4h9D5o9DANn1HioTskvY8KSA2w6nkOHaF8+GtKUcJ+q/2Akna/KwVpRFA+gK/A4gBDCDJgVRbkb6F7RbD4QS3mwvhv4TgghgDhFUbwURQmuaLtWCJFX0e9aoB/wY1XnJkmSJElS9aSlpbFt2zYSEhIQbof3PAAAIABJREFUQtCgQQPat29PRERElfZPn0sIwd7VK/jrf9+iqHXo3O/GK7gJ/Z+OwTfkn+ohtmIzxbHJlGxPBwGubYPw6BGO2rMKJxhepZItW8iaOhX33r3xe+qp815LLk7miTVPYBd25vadS6RHFQ+c2fwZrH8Hmj4Id39eo6FaCMEPO5J4b+VhAKbc04SH20bIVWoHq86KdTSQDXyrKEozIB54FggUQqQDCCHSFUX5e7NRKJB8zv0pFdcudv0CiqKMAkYBREREVGPqkiRJkiRVJjExkdjYWJKSktDpdLRt25a2bdviU8lBKFVRWpDP6i+ncWpvPB4B9TGZuhMZE0Hv/2uE3rV8S4et1ELJXymUbE1D2Oy4tAzE444IND56h8zhcsxJSaQ+/wJOtWsT8sH7KOcE3vSSdEasHoHJZmJOnznU9qp9iZ4uYct/yyuANBkC93wJKsc+cHmu5LwyXvllP1tP5tKpji8fDJar1DWlOsFaA7QExgohtiuKMp3ybR8XU9mPROIS1y+8KMTXwNcArVu3rrSNJEmSJElVU1BQwIIFC3Bzc6NPnz60bNkSvd5xYfZk/HZWz/ovZoMBn/D+lBY3oNWdtWg3KBqVSsFutFK8KZWSzakIsw3nZv549IxA63/tQqC9tJSUZ8YAEDbzc1Su/zzMl1mayRNrnqDYXMzsvrOp71O/aoNsm1leq7rxYLj3qxoL1Xa7YMH2M7z/+xFUisJ798bwUNvwar/jIF1cdYJ1CpAihNhe8fliyoN1pqIowRWr1cFA1jntw8+5PwxIq7je/V/XY6sxL0mSJEmSqmD9+vVER8fRocPDREd3dFi/FqOR2O9ns3/dH3gHR6B1G4LZ7E2/UY2o0yoAu9lG0dY0Sv5KwV5mxbmxLx69I9FepMxeTRF2O2mvTsB08iQRs79Bd8674zmGHEasGUGeMY+ve39NI99GVRskbhasngiN7obB34C6Zgq0JeWW8fIv+4hLzKNLXT8+uK8poV7ONTKW9I8q/2kKITIURUlWFKW+EOIo0BM4VPExDPig4tdlFbf8BoxRFOUnyh9eLKwI36uB9xRF+buSeh9gQlXnJUmSJEnS1UtPTycxcT0tWh5BUfIc1m9m4glWzviY/LQUolr2ISOpIe7ertz5dFN8Alwo3pxKcWwy9hIL+vreePSORBdWhWPAHSBn1iyK164l4JVXcO34zw8W+cZ8Rq4ZSWZZJrN6zaKpf9OqDbDjG/jjFWgwAO6bUyOh2m4XfLftNB/+cRSNSuHD+2J4oLVcpb5WqvsnOhZYUFERJBEYDqiARYqiPAEkAfdXtF1Feam9E5SX2xsOIITIUxTlHWBnRbu3/36QUZIkSZKka2PdunVE196PRuNNePjwavdnt9vY+dsSti76Hy4eXtTr9BRJh1wIb+hN7+GNsB3KI2N+ArYiM061PfF4rBZOkR6X77iGFK9fT85/Z+AxaCA+jw87e73QVMiotaNILk5mZs+ZtAxsWbUBds2FVS9C/btgyLegdnyJwNM5pbz8y352nMqjWz1/3h8cQ4hcpb6mqhWshRB7KS+T9289K2krgGcu0s9cYG515iJJkiRJUtWcPHmSnJwthISmElVrEhqN2+VvuoSinCx+//xTUg4fpHarjljsXUg6ZKFFr3CaRrpR8OU+bPkmdJEeeD9QH30dLwd9JVVjOnmStJdeRt+kCcFvv312dbfYXMxTa5/iZMFJZtwxg3bB7ao2QPw8WPEc1OsH988DjWPLBFpsduZuPsVn646hVauYOqQpQ1qFyVXq60CevChJkiRJtzG73c7atWuoXecATrogQkMfqVZ/h7ds5M/ZX2C32+nwwFMc3eGFucxK/z7huCQWUrArA22oG1731EFfz/u6hz9bUREpo59B0esJm/FfVBUPa5ZaShm9bjRH8o4wrcc0OoV2qtoAu7+H5c9C3T7wwHcOD9V7kvKZ+OtBDqcX0athIFPuaUKQ57WpniJdSAZrSZIkSbqNHTx4ELM5HlfXDKKipqBWV61GtKmslD/nfMnhzbEE12tA/Y6PsXNlPhEeCs0iXBE7MiDQBd9HG6Jv7HvdAzWAsNlIfeFFzGlpRM77Fm1w+cmJBquBMX+O4UDOAT7u9jHdwrtVbYC9P8BvY6F2T3jge9A4rv52sdHC1NVH+T7uDIHuemY92op+TYIc1r9UNTJYS5IkSdJtymq1sn79n9SrdxBnfQTBwUOq1E/K4YP8PvNTinNzaH/fQ9isLUhcmUkPLx2uVjtqRcFjaH2cm/pfcEz59ZQ9bRqlmzYRNHkyLq1aAWCymXh2/bPsztrNB10+oFdkr6p1vm8hLB0N0d1h6ALQOmYVWQjB6oQM3vwtgaxiE8M61OKFPvVw19fMse7S1ZHBWpIkSZJuUzt37kSj3YeTPpvo6M9Qqa4unNmsVrYt/oEdSxfjERDAva+8y8nfjfjnZhPtpkHtpsWjVwQuLQJR1DdOoAYoXLmS3G9m4/Xgg3gPfRAAi83CcxueIy49jnc6vUP/qP5V63z/z7D0KYjqAkN/AK1jHiBMLTDw5rKDrDucRaNgD756rDXNw6/v/nTpfDJYS5IkSdJtyGAw8NdfsTRvnoCba30CAwdc1f15aamsmvExmYnHady9FzEx95L7UxINALubFq9+tXBtHYSiqbljuqvKeOgQ6ZNew7lVK4ImTQTAYrfw4sYX2ZS6iTc7vMndde6uWucHf4FfR0FkJ3joJ9BV/3Abq83OvK2n+XTtMYSASXc2ZHinWmjUN95/29udDNaSJEmSdBvasmULHp4H0WjziI5+H0W5spAmhODAn6vZ8N03aDRaBv3fq2gPOSNWJOEGqDuFENqvFoq25o7org5rXh7JY8ag9vIibPo0FJ0Oq93KhE0TWJ+8ngltJzCkXtW2xJCwFH4ZCeHt4eGFoKv+ATcHUgqZ8Ot+DqYW0aO+P2/f3UQeR34Dk8FakiRJkm4zhYWFbN++mbbtjuDh0Qw/vwuq5FaqrKiQNV/N4OSuOOo36kTrsP5YNxRjtpeS4q4j5ulmuPrduHWThcVC6rPjseXmEfm//6Hx88Nmt/HGljdYfXo1L7Z+kYcbPly1zg8vh1+egLA28MiiaofqEpOVT9ccY97WU/i6OTHz4ZbcGRN0Qzz0KV2cDNZXSQgh/1JLkiRJN7XY2FgCA4+iUhVQO/q/V/R97dTeeFZ/OQ2NUc2gts/inK3HdKKY40Yb+rZBdHiwHuobcGuCsFox7NtHSexGitevx3zyJCEffYhzTBPsws7bcW+zPHE541qMY1jjYZfvsDJHVsLPj0NIS3jkZ3Cq3smRayoeTswoMvJIuwhe7tcAD/lw4k1BBuurkLdgAWU7dxE69SMUrfwLLkmSJN18MjMz2b9/Jx06HsbbuwM+Ppeuz2wxm9i0YB5H122kZWgfQn1qQ77CGQWOFFvp+HB9GnYMvjaTv0K2ggJKNm+hJDaW0k2bsBUWgkaDS6tW+I4cgeegQQgheG/7eyw5voSnmj3FyKYjqzbY0T9g0TAIbgaPLgZ91U+PzCg08uZvB1mdkEn9QHc+f7glrSK9q9yfdO3JYH0VhNlC8R9/kGqzEvrJJyg6xxZ5lyTp9iGEoKzsFDqdH1rt9TvGWbr9rFu3jvCI4yhKMbWjX7hk26zTiaybMZNgQzgDwp9CUauwRnkSuz8XXLQMeLElgbWu/99fIQTmEyco2biR4thYDHv2gs2G2scHtx49cOveDddOnVC7u59tP3XXVBYeXcjwJsMZ3Wx01QY+tgYWPQZBTeDRJaD3rFI3Nrvg+22n+XjNMax2O6/0a8CILlFob8B3AKRLk8H6KvgOfxxFrSbzvfdIeXY8odOnoZLhWpKkK2Szmcgv2EZOznpyctZjMqWjUjkTHDyY8LBhuLrWvt5TlG5xp0+f5tSpg3ToeAg/v154eraotJ2w29m9dBmF607TyX0AKk8Nrm2COG6ys2tjKsF1POk3KgYXj+v3PdBuMlG2YwclsRspiY3FkpoKgFPDhviOGol7t27oY2JQ1Oc/RCmEYPru6Xx/6Hsebfgoz7V8rmpbPE+sg4WPQkBDeOxXcK5a2buEtEImLjnAvpRCutT14917YojwlQ8n3qxksL5KPv95DEWrIeOtt0l5Zsx5x59KkiT9m8mUSU7OBnJyN5CXtwW73YBa7YKPdyd8ao2mqGgf6ek/k5q6AB+fLoSHP46vT9crrtAgSVdKCMHatWuJrn0CMBAd/Vyl7YrSMjn05e8EmsIJ8GiFU4wPrt0i+XPJSZIP5dGkWyid76+L+jqU0bNkZlKycSMlsRsp3bYNYTCg6PW4duyI76hRuHXrijbo0qcPzto3izkH5/BAvQd4uc3LVQvVJzfAT4+Afz14bCk4X/12jTKzlWnrjjNn8ym8XbRMH9qcQc1C5HNcNzkZrKvA+6GHQK0m483JpIweTdjMmaicb9ynoCVJunaEsFNcfLAiTP9JcXECAHp9KCHBQ/DzuwMvr3b/HBsd+jB1ar9EauqPpKQuYN++J3BxiSY8bBhBQfei0VS/XJckARw6dIisrBO0r51AYOAA3N0aXNCmNCefjGnxhKlqYwq2EvhwK4qtgiVf7qekwESPRxvQqHPINZuzsNsxHjhwdouH6dBhALQhIXjdey9u3bvh0rbtFS1wWewWZuyewbcJ33JvnXuZ1H5S1UJs4kb4cSj41oH//AYuPlfdxYYjWby29CCpBQYeahvOq/0a4ukin926FShCiOs9hypp3bq12LVr13WdQ8GSX0mfNAmXtm0J//ILVC7yrRtJuh1ZraXk5285uzJtNmcDKjw9W+Dnewd+fj1wda132W/idruZrKzfSUr+luLiA2g07oQEP0BY2H9wdg67Nl+MdEuy2WzMnDmTkJC/8PHZT/v2q3Fxibqg3b63fsGnzA/NQD+COzfmRHwWf353GJ1eTf8nYwiKrtoe4quaa0kJpRUPHpZs2oQtNxdUKpxbtMCtezfcu3dHV6fOVYXi5KJkXv7rZQ7mHuTB+g8yoe0E1Koq1Nk+tQkW3A8+UTBsObj6XdXtWUVG3lp+iJUH0qkb4MZ7g2NoU+vqg7l0bSmKEi+EaH0lbeWKdTV4Db4XRaMm7dUJJI0aRfisr1C7ydUlSbodGAwp5ORuICfnT/LztyOEGY3GHR+frvj53YGvT1d0uqv7hqlS6QgKupvAwEEUFu0mOXkeySnzSEr+Fn//3oSHPY6XVxv5VrF01eLj4yktTcLb5wDBIUMqDdXHf/0LX0MARSHFNOjYlbilJ4n/4wxB0R70ezIGV0+nGpuf6dSps1s8ynbtAqsVlacnbl264NatG25dOqP2qtoe5uUnlzMlbgoalYZPu39K78jeVZvkma3wwwPgHVm+Un0VodpuFyzYkcRHvx/BZLPzYp96jOpaG90NeCqlVD0yWFeT56BBKBoNqS+9TPLIkYR/8zVqN7frPS1JkhxMCBuFhXsqwvR6SkuPAeDiEkV42GP4+vXAy7M1KlX1385VFAUvz1Z4ebbCaEwjJXUBqak/kp29Gne3xoSHDyMwcAAqVc0FHenWYTQaiY2NpVHjU6hUKqJqjbmgTVFaFmwtpVRtp9Z/erBy5n6SEnJp1CWErg/UQ611bAAUZjNl8fHlq9KxGzGfOQOAU906+A5/HLdu3XBu3hxFU/WYUmIuYcr2KaxMXEmrwFZ80OUDglwvvf/6opLi4H9DwDOsfKXazf+Kbz2SUcSEJQfYk1RApzq+TLknhig/uQh3q5JbQRykaPUaUl94AX2jRkTM/ga1x/UvPyRJNzshBCaTCY1Gg6Ya32CrymotJjf3L3Jy1pObtxGLJR9F0eDl2Ro/v574+fWodOWvJthsBjIylpKcMp/S0uNotb6EhT5MaOgjODld+Td56fazfv16du5cTus2KwgPf5x6dSed97oQgn1vLMLHHITu/hA2rMqjILOMLg/Wo0nXUIfNw5qTQ8lfm8prS2/Zgr20FEWnw6V9u/JV6W7d0YU5Zrx92ft45a9XyCjN4OlmTzMiZkTVtn4AJO+A7+8F9yB4fGX5r1fAYLYx/c/jzN6UiIezltfuasi9LULlO043IbkV5Drw6NsHRTONlPHPkfT4cCLmzqny21aSdDsRQlBaWkpeXh65ubnk5eWd93uz2QyAWq1Gr9fj5OR0xb/++5pGo7nsN7WyslNny+EVFO5CCCtarTe+vt3w870DH58u16XutFrtTGjoQ4SEDCU/fyvJyfM4dXoGp8/MIjDwLsLDHsfDI+aaz0u6sRUXF7Nt2zZatDyNWu1MrcinLmhzZOE6/CwhlEYaOXXcTl5aKQPGNiOysW+1xhZCYDx0qHxVeuNfGPfvB0ATEIDHXXeV15Zu396hzyfZ7DbmHJzDF3u/IMg1iHn95tE8oHnVO0zZBd8PBreA8pXqKwzVG49l89rSAyTnGXigdRgT+jfE21WW570dyGDtQO49exL23+mkjnuWM48PJ+LbuWi85YlJknRueK4sQP8dnqF8G4S7qytauw19SQFKfi6KRovOzQ2NsKKyWzFbzJhKVRQAFpsds9l8Xh8Xo1KpKgnhWlxc0nDSH0WjSQCyANCoI3F3vw9Pjy54ebVAr3epCOfX98l9RVHw8emEj08nyspOkZzyHenpv5CRsRRPz1aEhz+Ov18fVCr5z7tUfnS5Xp+Fk9N+wsOfQac7Pyznn0lFG2+jVFOMrkMrDn6VQPNe4VUO1fbSUkrj4s6GaWtWFigKzk2b4v/sONy6d8epQYMaWbXNKM1g4uaJ7MzYSf+o/rze/nXcddU4Wjx1d3modvWDYSvA4/LVULKLTbyz4hC/7Usj2t+Vn0a1p3109X5AkW4ucitIDSjZtJmUMWPQRUaWh2tf+T+VdOv7d3j+d4A2mUxn2yqKgpeXF76+vvj4+ODh5oY5P5eC0ydIO7AHU3ERKrWa0AaNCW8cg6msjKLsTIqysyjMzsJYXHTe2BqtDjf/ANz9AnD28UXv5YOTuwdaVzc0zi4IlRqTyYTRaMRkMmEy5YJyEK3mMHrnk6jVZux2FQUFQeTlhpGXF4rJVPmzEoqiXHRF/EpX0XU6HSqV4/asWq3FpKUvJjl5PkZjMk5OwYSHPUZIyINotfKds9tVTk4OM2fOpEPHeJycUujYIfa8d1vsdht7X1uEny0Y3f2RrFqUiou7lvtfbXNVe6rNKSlnD2kp274dYbGgcnPDtXNn3Lp3w61Llxr/PvjnmT95Y+sbWOwWJrWbxKDag6oX3tP2wneDQO8Fw1eV762+BLtdsHBXMu+vOozRYmd0j9o83b02Tpoqbj+RbihXsxVEBusaUrptG8lPj0YbGkrEt3PRBgRc7ylJUrWVH8NdVumWjYuFZx8fn7MB+u/fe3p6UpSVQWL8DhJ37yTlSALCbsfZ3YOoFq2JbtmWWs1a4ORS+QM+ZqOBouysiqBdHriLsjIpzM6iKDsTwwXBW4tPtCteUWU4B2Sj6NNBEahV3vh4dyUouB8+Pp1QqZwxm83nhfCL/Xqp167k39W/w7arqyvu7u64u7vj4eFx9vd/f67X6684IAhhIydnPcnJ88gviEOl0hMcdC9h4cNwc617RX1It46ffvqJrKxtNG6ygtq1X6ZW5JPnvb5/3gp8jnhirGPjmMWHMwm5PDChDb6hl34AX1itGPbsoTg2lpKNGzGfOAmALiqqfK909+64tGqJoq35d3cMVgNTd07l52M/09i3MR92/ZBIj8jqdZq+H+YPBCcPGL4SvCIu2fx4ZjETfz3AztP5tIvy4d17Y6gTIIsY3EpksL5BlG7fQfLTT6MNCCBi/jy0gYHXe0qSdFl/h+eL7Xm+kvDs4+ODl5fXeQ8c2qwWUg4lkLi7PEwXZKYD4B9Ri+hWbYlu2YagOvVQVfUBo3OYjQYKMlPIyoiloGgLJrEfNIUAGHNdKTjlTOEZNww5ekBBrdXi4ReAh38Anv6BePgH4BEQiKd/AB7+gbh6eqFc4QqzEOKCcH6xEG40GiktLaW4uJji4mIMBsMF/Wk0mgvCdmWfa/8VYopLjpCcPI/MzGXY7ebyUx3DhuHr202e6ngbSEpKYu7cOXTpugOdLp+OHdajVv+zlzn72EkKvzmOXSew9Ikh9sdjdBpSh+a9Kg+R1vx8SjdvpmRDLCWbN2MvKgKtFtc2rSsePOyGrlata/TVlTuad5SX/3qZxMJEhjcZztjmY9GqqxnmMw6Wh2qdKzy+ArxrXbSp0WJj5oYTzNp4ElcnDZPubMiQVmHy4cRbkAzWN5Cy+HiSR45C7edH5Px5aIODr/eUpJuMzWbAbM7BbM7GbM7BZM7BbM6tuFb+Ybeb0Gq9/vnQ/P17bzRaT7Ra77PXNBp3QDkbnisL0BcLz/8O0P8Oz/9WVlhA4p5dJO7ewZn9ezAbDKi1WiKaNCO6ZVuiW7bGw89x7+aYTFnk5saSk7OevPwt2GxlqFR6fHw64+fbAz+/Hjg5BWIxGinKqVjtzjpn1Tu7fNXbUFR4Xr/lwdsfj4rQfTZ8+5eHb1cv7ysO3pdisVjOhuy/P4qKii743Gq1XnCvXq+vNHy7uNix2TdQWLgUiyUHF5cowsKGERw0WJ7qeIsSQjB37lys1v3UqbuCevUmEx722NnXbVYLeyYtIoBQNPdFsXzBaYKiPBg0rjmKSjnbh+nY8Yq90hsx7N0LdjtqX9+KVeluuHbseF3Kywoh+OHID3yy6xO8nLx4t/O7dAjpUP2OMw/B/AGg0ZdX//C5eMWfLSdymPTrAU7nljG4RSiT7mqIr5ssf3mrksH6BlO2Z095uPbyImLePIeVE5JuXlZraXkotvwdjs8Nytnn/D4Xm6200j40Gi90Oj90Ol/UKics1kIslgIslgKs1iKg8v+3hVCwWp2wWHRYLU5YrDqsVifUKg90Oh+cnX1xdQ3E0zMEL+8wfLzD0et9UatdLrsSI4Qg+8yps1s80k8eAyFw8/ElumUbolu2IaJxM7RXcPzwlSg/PjzhbG3p4uIDADg5BZ8th+ft1R61+urGqyx4F1ZsNynKzsJQfH7wVqk16N190Lv54uTijVbvjcbJC7XWC5XaE3DGahZYTLbzPqxmOz4hrtRpFUCdVgF4+DlfwdcsMBqNlw3gxcXF521JURQb/v5JhIUfw9U1C7tdj83WHr1Tfzw8os8L487OznLV7SZ2+PBhFi78ie7dt6LVmejQfh0q1T8VKXZ/9QsBpwKwNFSIz9BTkFnG0Nfb4uatRwhB7qxZ5P/8M9a08neV9I0bl4fpHt3RN27skB8iqyrXkMvrW15nU+omuod1561Ob+Gjd8DJhVlHYN5doNaWh2rf2pWPX2Li3ZWHWbInlVq+Lrx7bwyd6lzd6YvSzUcG6xuQYf9+kkaMROXmSuT8+ejCw6/3lCQHEkJgs5WeF4jPD8jnXLfkYLOVVdqPVutdHpa1vhWh2Q+dzv9sgP7nmu/Zb5QGg4GcnJx/rT7nUFiUgd1WhEZjQqM1odOacXNXcHdT4exix8nJgkZjQqUYsItirNbCi4Z4AEXRVayCV6yAV6yMq1RulOYayE3KJvN4CiW5BmwmNb5B9Yhs0oHarTriHxnlsKBms5WRl7eVnNz15ORswGzOAhQ8PZrj59cTb+/uOGlqYzXbLwiy54daGxajDYv5nGsXa2+2Ybf+82+lEBaEveifD1vheZ8j/vXnq6jR6DzROXujc/l/9s47PI7yXPu/7U3a1a60qy6rWVZxt+WGbbAh4AIEkwSTQy8hOUlOTr70hCSkkYTknJzAgUOAJNQEQjM24ILBBvfeJcu2mtW1q7K9z8z3x8iyhFxkLNuUva9rrpnd95133m2z9zxzP/djQ2+yYTSnojen4u0x09UkS0Aco5IpnpJO8VQHybbzu/gQRXGQzGQg+Q6Hq9HqNpKcLBe56e7Ooa21DI/HAShQqVRnlJ2cWLTahH3Yxw2CIPD444+TnHyMnNy3KCt7iKzML/a3tx08TPC540h6Bb2Vo9m5spGr761g9FRZqtj78st0/PwBTLNmkbxwAUlzL0eT/vHIEdrSuoWfbPoJvqiP71V+j5vH3Dwy5xXXUZlUK5QyqU4rHtJFkiRe2d3Cb1ceJhCJ87XLi/jGvGL0mkRy4mcBCWL9MUWoqormu+9BYTAw6pmnL7oeLYFzg0yW/QPkF2deRDF8ilEUfWQ5dQBBThtClHVaOxqN7YxV+0KhEC6XC5fLhdPp7N/2+Xwnj6ZQYLFYTpkweDbZBoAoRojFTka+Y/Fe4jEPsVhv3/O9xOJuwkEXQX8HsZgbVGGUqtOfR1QqY58M5YQsJaVPmjKAoGsGSFfUFjQaC7GwRGeDF1ezj3C4lahiG4J6G5L2AAplDEkwEHVPIOyaSKBjLBG/aQgBPhsUCtDoVPKiV6PWKk8+PrFoVWj08rZaqxrSrv5wf50KUYji6+qSnUy6nIOi3R5XJ0GPu38ORksK4668Hp1pIg0HPLia5M8zvcDM6KnpFE22k2QdmQj/hxEOt9PU/DxtbS8hCB7U6gKUiqsIhcbh84UHEfJYLDZkf51Od0bynZaWhn6E7k4kMDzs2rWLt95awbz5G9FqNUyftrLfejEWCbPvp6+QrsyF6/N56x8NlFSmc9Vd5QCEa2povGkpxspKcp968pJGpgciJsR4eM/DPFv9LMUpxTw09yFKrCUjM3jXMZlUS5JMqu1Dx61z+fnJ6wfZ3tDD1FFWfnfjOEann4eNXwKfOCSI9ccY4Zoamu66G4VaTd6zz6ArLLzUU/pMQZIk4nHfSUIcG0COIy6isaHa5aFQoNHY0A0iyQOJ8kkCLZPlc/MTDofDg8jzifVAAq3RaLDb7YMWm82G1Wq9IBUKRVGgo/Yo9Xt2Ur97B66mRgAs6RkUTq6kYNIEHEWZiFKgj4S7+6Qp8nb8BFGP9Q6SrIB4yuPyjqdgAAAgAElEQVRJkgIxZkCImAAF2mTZWzoWdBDtmUzcMwWiFWi0ejS6E2RY3b/dT4D1fcS4r12tG0ycVWrlJZE8xCJhvF0uetpa2Lf6TZoOHcBgtlB53Y3kT5pHU5WXY7ucdLf4AcgstlA8xUHRZAcmy8jrOOWqjstpbnmmr6qjjezsfyMn+xZ0Okd/BcwzyU68Xi9+vx9RPPmZmkwmvvKVr5CSKJZ1URCNRnnkkUfIyW3Bbn+TsWMfJd2xsL99xyP/JKstl/hYDZuOSIiCxNKfTUNnUCP4/TR+4YuIoRAFbyxDbRsBecUIoNHTyA82/IDDPYdZOmYp35v6PfTqEbpY666DpxeBJMg+1Y7SQc2RuMD/ra/j8ffr0GuU/GRRGTdNzUWpTMikPmtIEOuPOcJHj9J0192gUDDq6b+jG52wwbpQOGE/1tr6TwKBWqKxLkTxVIVElGi1tj4ZxgCirLMPeHyCLFtHpPjGCQL9YRL9YQKdlpaGw+HoJ9AOhwOLxTKiPsinQiQYoHH/Xur37KBh7y5CPi8KpZKc0goK+vTStqyPlgEfiwo4G920N3TgbGqhu6MDQfCg0vrRmkKY0+OYrBH0yWE0BgGbTS4hbjSOnKTk44SWmiq2vfYSxw/sxZBsZsq1S5h0zWICHona3U5qdzvpaQuAArKKU/pJttE8slIMSZLkqo4tz9LVtQ6FQk26YxG5uXdiNo8/6/6iKBIMBvH5fPT29rJ8+XJSU1O56667hriWJDDy+OCDD3j//Xe5Yt56DAYblVPf6HeAOb5zD7GXXWBS0FyUS/WWdpZ8ZxJZo61IkkTbd7+Ld807jHr2GYxTh8UfLigkSeKN2jf43Y7foVVp+dWsXzE/b/7IHaCnHp5eDEJEJtXp5YOat9V385NlB6l3Bfj8xCx+urgce3IiOfGzigSx/gQgUlfH8TvvBEEk7+m/ox8z5lJP6VOFeNxHW9srNLc8RzjcjEadTpJxIkZTJgZjhkyY+2UYMllWKC6MVm4ggR5Ior3ek17LarV6EHE+sZ2SknJWAh09fpzw0aMg9v2WJYn+xEVJ6nss/1H15zN+uE/f2u1x09TWRHNrEx2uDiRJQqfVkZOZQ15mDtnpWWg12gFjn348acCxA2ElXR4NXT4tXT4tvQENkiQT5GR9jNSkCGnJEdJMEcyGGEoGjyeJEogiSCKSKMqv9cPbgjigz1n6i8KH+pxiWzzR/xTPSx/aFgQk6cTYZ+nf/5wIEugryklZsoSkefPoOF7P1tdeonHfbvRJyUxZfAOTFlyHzmikpy1A7e5Oanc76e0IolBAVomV0VMdFE6yY0gaWZIdDDb2V3UUBD8Wy2Ryc+7Ebr9m2BeWNTU1vPTSS0yePJnrr79+ROeXwGD4/X4eeeQRyitcJCevYOKEv5OaejkA4YCfgz9/nXR1HrGrR7H6lQYmX5PHzCWylrj3xRfp+OWvsH/nO6Td95VL+TIA8Ea9/Grrr1jTuIbpGdN5cPaDpJtG0K62pwGeuRZiQdlSL72iv6k3EOW3Kw/zyu4Wcm0GfnPDOC4vsY/csRP4RCJBrD8hiDQ00HTnXUiRiEyuy8ou9ZQ+8QgGG2hqepr29tcRpRBxn4POvWZcNWroI3JqrY4kqw1T35LUt5g+tNYazu6CMRCRSOSUEo7TEeiBJHo4BHogYq2teFetwrtyFeHq6uG/QR+CqIAekwGn2YjTbCSok8lZUiiCwxvE4Q1iDYY5lxixqFDhT8rBYynEYy7EYy4gorcCoBSimH2NWDwNWLz1mL2NaGP+jzZ5hQKUSlD2yTkGbqtUg55DqZAjd6fbVqlkm7Ez9bkA/SVRILB5C/GODpQWC5bFi7AsWUKvXsv211+ifs9OdCYTUxbdwKSF16E3JSFJUh/JdnJsVyceZwiFUkFOqZXiKQ4KJ9rRm0YuOnyiqmNLy3OEQk3odBnkZN9GdvZSNBrrWfd/77332LhxI9dffz2TJ08esXklMBgrV65k9+6tzL38HUymfKZMfqn//LXlj0+T111MfLye9/aESbLq+OIPp6JSKwlVVXH85i9jnDWT3Mcfv+S66r3Ovfxwww9xBV18Y9I3uKviLlQj4G3fj45D8OLNEPXDHW9CxjhADgQs29vKb94+jDcU4ytzC/nW/NEYtInkxAQSxPoThWhTE8fvuBMxGCTvr3/FMG7spZ7SJw6RYIC6qpfp7PoXou4YoqDAXWvGdciKXlNMdmk52WPKUWk0+Ht7CPT29K8D7h58Pd3EI0O11Gqdro90p2JKsZJks2GypqJLSiaq1BAWRbzBED29vTidziEE+lQSjnMl0AMR63TiW7Ma79srCe3fD4B+3DjMCxdinD4NhVoNJyiwgpMXBQqFvPRth/w+jh89TGNNFU1HDxONhFGp1WQXlVBQNo788nGYbal9+yj6h+C04wl0tgTpbA7S2RTE1RZC6EsgTErRkJ5nIiPPRPqoJGyZBlQqhTy304x3ymN+mCgrFJ8aSYgkCAS2bcOz7A18a9ciRSJoi4tIWbKE8IRx7Fy/hrpd29EZTUxedD2TF34efZ93sCRJdLX4ZbnIrk68XWGUSgU5ZbY+kp2GzjgyJFuWVa2nueUZenu3olTqyci4gdycO0hKOn0imSiK/OMf/6CxsZG7776b7OyE3ehIo7u7m8cee4zKab1otSuYPPklrCmVABzbsBnlm35IVnHYmkbLUTc3/bgSW5YJweej4cYvIMViFCx7HbX17BdKFwpxMc5TB57iLwf+QnZSNg/NeYhx9nEjM3ioFw69Bvv+Ca275TLld6yAzAkANHQF+OkbB9lc283kvBR+e+M4SjPMZxk0gc8SEsT6E4ZoSwtNd9yJ4PWS99enMEyYcKmn9LFGwN1L65FqWmr20etbiz7jKHpbhFhQTbi9ELP+GnJLppE1pgxTytn/KCRJIhoKEXD34O/pIdDbjd/di6fbRVdXDx6/H384TEgEQaNF0gzQ2YkiqlgEnULCpNVgNplItdlIs9tJtqUOiYCfK+Ld3XjXrMG3chXB3btBktCVlmJeuBDzooXDsm3s95bes5P6vTtpP3YEJAmT1dbnLT2NUWOH5y0tihI9bX466r101Hlor/fgdclWcUqVAnteMhmFlv4lyZrQJJ4LBJ8P76pVeJa9QWjvXlAqMc2ZTXzubA62NVK7aztag5HJC69j8uIbMCSddCaQJAlXk4/aXbIm29cTRqlSkFduo3hqOgXj09AaRiax1e8/QnPzM3R0LkcUI9iss8nNvfO0VR2DwSBPPPEEAPfddx8mU6IwzUjilVdeoa7uEDNmvkmKZQITJz4NyOfK6l+uIF03Cu9lOXzwdhNzlo5m/LxcJEmi9T+/jW/dOkY99xzGyZMu2fzb/G38eOOP2ePcw3WF13H/jPsxac7zOyIKULce9v0Dat6WtdSOCph0C4xfCqY0onGRJzfU8ci6WnQqJT9YWMot0/ISyYkJDEGCWF8guN27iMU9pNpmo1SOLGGItbVx/I47EXp6yH3qSYyJW6aATBbcne20Hq6ipaaKtiPV+H3HSavoJbXMjVonoIhnYk/5IqMr7kRvOnf3gUgkQldX1yALO6fTicdzsgiISqUiLS2NVJsNs8mISatGJ0kQDhJw9w6Kgvt7e4hHh0bANXoDSVZrH9Hui4JbbZhsqSSlWDFZU0my2VCFI/jefRfvypUEtm0HUURbVIR50ULMCxehKzx9NbATiEUjNB86QP2eHdTt2Ym/uwuAjKLRfRUPK3HkF571tm8kGKOjQSbRHfUeOhu9xMICAAazlsxCC+mFZjILLdhHJaNOeLqOGCINDXjeWI5n+fJ+qYh45RUc0SqoO3wQjd7ApAXXMmXxDRjNlkH7SpJEZ6OX2t1O6nY78fdGUKmV5FXYKJ7qIH9cGlr9+ZPsaLSHtraXaGl5gUi0E4Mhn9yc28nM/AJq9eCKfG1tbfztb39j1KhR3HrrrRc8+fazgpaWFv76178yZ64beJPKqW9gNo9DkiQ2Pvgkhf5y4uNNrNnqJWt0Ctd+cwIKpYKe51+g88EHcXz/+6Tec/clm/+axjX8cssvERH56Yyfcm3htec3YNcxmUzvfwl87WCwwribYOK/yRHqvjtdOxt7+PHrB6l1+lk8PpMHri3HYU5YQyZwaiSI9QXCwUP/gdO5ErU6GXva53A4FmGzXTaootX5INbRQdMddxJzuch74i8YKytHZNzhIh4TUKmU/SVtLwVEUcDV2EDrkWpaD1fReqSagLsXkLAWKMiqDKJJaQYF2NM+R17e3VgsU4YlC4hGo6f0gXa7T3oKnyDQA/XPDocDq9U6bCIgR8CDcvTbLRNtf083AXdvH/nuJtDbe1oCrhJE9LE4BpWapIxMUsaUYSkqGqIH1+oHV+nzdXfJUek9O2g6dIB4NIJGp2fU+EkUTqmkcFLlGSP48kVMkI56j0ykG7yyEwXyf1FqTtKgaLQ5Tf+pkWN8nHEqqUikpIi6/GwanW1otDomXrOYqdfdOIRgA0iiREeDl9rdndTtdhLwRFFplOSPTaV4ajqjxqai0Z3fBZEoxnA6V9Hc8ixe7z5UqiSysr5Ebs6dGAw5/f327NnDihUrmD17NlddddV5HTMB+Tf7zDPP0NvbzOTJr5Caejnjxj0KQNWad9G/K6KwqNmtTMLbHeHmn03DlKIjdPAgjf92C0mzZ5Pzf49dkt9xMBbk9zt+z7LaZYxPG8/v5/6e3OSPWDgt7IFDr8tSj5YdoFBB8VVydLpkAahPBsI8wRi/X32YF3c0k51i4Dc3jGVe6cejAE4CH18kiPUFgihG6e3dSqdzJS7XO8TjXtRqM3b71aQ7FmG1zjpjgY/hINbppOmuu4i1t5P7+P9hmjFjhGY/FIIg0lHnoamqh6bqbrqa/aAArV6N1qBCZ1CjNaj719oPPR78/Mn+Gp1q2CfqWDRCR+3RfhLddvQw0ZAsLUhOs5NTVkpqaRjBsI1Q5ChqtYXsrKXk5NyGXp81jNcocOjQIbZs2UJnZ2f/8wMJ9EASbbVaUakuTtRVCATofmcNrjWr6d23j7BCImqzIhUWEEu1ERYF/O4eAj09xGNDLQK1BoMc5U6xEg74cR1vAMDiSO+PSueUj0N9GpuzWETA2eilvV6ORnfUe4gE4gDojGrSCyxkFpnJKLTgyDePSIQzgfOD4PXiXbUaz7JlhPbtw2fUc7y8mKZYCLVWx4SrF1F53Y2nvYCSRIn2Og+1uzqp3esi5I2i1irJH5dG8VQHoypSUZ9nspbHs4/mlmdwOlehUhmYOuV1TKaTfv1vvvkmu3fvZunSpZQlErbPC0ePHuWf//wn86/sIRZbxYzpqzCZivE4Ozny29Vk6EfhnJjB9vfbWPDVsRRNciB4PDTc+AWQJApefw3VJfAYr+6u5ocbfshx73HuHXcv/z7x39Gc63+nKELDB3J0+vCbEA+DvRQm3gLjb4LkjEHdBVHi5V3N/HHNETyhGPfMLuDbV43GqE2c1xI4OxLE+iJAFKP09Gym0/k2LtdaBMGPWm3BYb8Gh2MRVuuMj0yy411dNN11F9GmZnIee4yk2ZeN2Lx9PWGaqrppquqhuaaHWFhAoVSQWWQha7R8go2E4kRDcSJBeR0N9z0OxYmG+mzKzgCFglMSca1BhUoZJRxoItDTiNdVh8d5HEmUpQUpmblkjS4jt3wsGWMy8UbW0tr6D6LRLozGYnJz7yAz4wZUqrNrlePxOPv27WPTpk243W4cDgcVFRWDItAXi0APhBiJ4N+wAe/Klfjf/wApFEJtt5O8cAHmhQsxTJgwRJ4hSRKRYECWmQyMgg+IfKvUagomTqFw8jRs2UO9pSVJwtcdpqPBQ0edl456D10t/v7P0pphJKPoZDTamm68pHcuEjg7IvUNeN54A8/y5bjdPdTlOGhL0qNSaxh/9SIqr/8CSdbTF/kQRYm2Y25qdzup3+sk5Iuh0anIH59G8RQHeRW2jyTtkeIigj+Gv+sYB9ruRKO1Ujn1ddRqWQ8ej8d5+umncblc3HfffaSlpX3k9+CzDFEU+ctf/gL0Ulr2Ahnp11Je/kckUWT9L/6PkugEYmOTWLW5lzEzM7ny9jIkSaLlm/+Bf8MG8l94/qLn84iSyPPVz/PnPX/Gprfx+zm/pzLjHO/MdtfB/hdh34vgbQG9BcZ+UY5OZ00+mfA8AHuaenlgeRUHWz1My7fxi+srKM9KJCcmMHwkiPVFhihG6O7ZhLNzJa6udxEEPxqNtS+SvZiUlOnnXFAk3tND0113E21oIOd/HyHp8ss/0tyEmEhbrZvjfWS6t12+tZ9k1ZFXkUpehY2cUhu6YSY1SZJEPCoOIt0niHg/+e5ri4TjBHq78bnqCbgbCfuPI0RdfSMpUajSUaqz+5YsFEoDupTj2EreIzl3J0pVnHDXBCLORSijk9AaNIPJ+onIulGD1qBCa1CjVIscrj3Erj078Pl8ZGdnM2fOHEpKSi6ZplOKRvFv3ox31Sr8761DDARQWa0kL7hGdvSYMgXFCJN8ISbiavbRXuehs15OMgx65Ki3WqciPd9MZh+RTi8wj6g9WwIXF5IgENi6Dc+yZbR/8D61ViNtVjNKlZJxc+czbemtJNvOTF5FQaT1qEyy6/Y6iQTiaPUqCibYKZ7qILfMhhIQvFEEXxTBG0X0ndwWfFFEbxTBF0Hsu+sBEEw7QsvkP5Caejnjxz/Rn9jo8Xh44oknMJlM3Hvvveh0iSTXc8XevXtZvnw5V1/jIhx+j5kz1mIw5LJv2QqSt+hRWrVsCmhAoWDpT6eh1avpfuYZnL9/iPQf/wjbHXdc1Pl2hbq4f9P9bGnbwvzc+fxy1i9J0Q8zWh7xQdUbcnS6aatsW1k0X9ZNj1kMmlNro12+CA+truHV3S2km3X8ZFEZ10/ISkjYEjhnJIj1JYQgROjp2UCncyVdXe8hCAE0Glt/JDslZdqwSXa8t5eme+4heqyW7IcfJnn+vGHt53EFOX5Ilne0HuklHhVRqhVkFaf0k2lbpmnETy6SKNLT1kLL4Spaa2Rph9cll6LW6A1klZSSU1pBVmk5qTlFSKKKSChOJBih172O3sCLRIT9IOlRx65B8i4m5s8YEC0/GTWPhuMni5MAoiJO2NhG0NSKpIyhiVowBfNIUtvRGTToDGq5fLVSdq9QKhUolB9a99nAnaldqWTw8wP2Gfi8ApFYYwPhA/uJHDoIAT9KvQ7jxAmYKidjKC1FqVUPGn/QWAPGlK2PlX2PGTonhYKgL3pSG13vwdnkQ+yzvDOn6eVodIGFjCILqVkmlKpE4tinESekIq2vv0ZVdzuttmQUCgWlZeOZ9bVvYskYKp+SYsIgwhz3RPA0evG2+In1htFKoFeC9lTnCyWokrQozVpUyVpUfWtlshZVkhbPmka6jG/RWfIc+aO+TlHRd/t3ra+v5/nnn6esrIwvfelLCbJzDojFYjzyyCPYbAKj8v9GdtaXGTPmF3S1NFH/x3VkGPJpKEylaq+LJd+bQmaRhdC+fTTeehvJ864g+5FHLur7vaFlAz/b/DOCsSDfr/w+XyoZxuctinB8k6ybrl4uF3NJLZalHhNuBvPppYAxQeTZLY08/O4xwnGBe2YX8h/zizHpErKPBD4aLiqxVsjl6nYBrZIkXatQKAqAlwAbsAe4TZKkqEKh0AHPAVOAbmCpJEmNfWP8GLgHEIBvSZK05mzH/bgS64EQhDDdPR/g7FxJV/c6BCGIRpOKw7GAdMciUlIqz1rtT/B4aLrnXsI1NWT/z58wf+5zQ/rEogKtR3plrXRVN54++zNzmp5RFankVaSSPcZ63glKQ+YWj9FZXycnGtZU0XrkMGGf7OVstKSQU1ohe0iXVmAfVYDyQ1HZWMxDW9u/aGl5nnCkDb0+h9ycO8jK+lL/bePTQRIlYhEBd4+Pnbu2s//QHqKxKJn2XMbkTCBZlyYT8AGkXIjL1fBEUa7kJwoSkgSiMOC5vvXJ9r51X5vczlnlMJcKKrUSx6iTlnfphWZMlkQ08LOI8JFa2l5ezrFDh/EaUzCok8hMcpBZOA6N3tJPpKU+l5dBUClkwpysIQJ4/DFcrhCBmIigVWEvsZI3JZ2s8amoziAXEbwROv+yn7acv+DJ+ICxYx8l3bGwv33z5s2sXbuWq6++mlmzZl2Ad+HTiY0bN/Lee++xcFE7weAmZs1cj0adyrqfPkKpNJVQWTLvbO1h6qJ8pl9fiOB2U3/jjSiUKllXbb44MoiIEOHPu//MC4dfoMRawh/m/oGilKIz79TbKMs89v8T3E2gM8PYG2VCnVN5SqnHQGyp7eKBFVUcc/q5vMTOA9eVU2hPOuM+CSRwNlxsYv0dYCpg7iPWLwOvS5L0kkKh+AuwX5KkxxUKxdeB8ZIkfU2hUNwMLJEkaalCoSgHXgSmAVnAu0CJJEmnONufxCeBWA+EIITo7v6ATufbdHWtRxRDaLVpOOwL+yLZU05LsgWfj+Z7v0Lo0CGy/+uPJC9YQG9HsE8r3U3bMQ9CXEStUZI9xkpehY288lRS0s/dN/lMiIZDtB2tkUl0TTXtx470u1qkZGSSXVrRT6ZTMk5/uy0QqKW55Vna25chiiFSUqaTl3snaWlXDrusuM/nY8uWLezatYtYLEZZWRlz5swhK+vUUYxmbzMalYYMU8Yp288VknSSfAf27ce7Zi2+99YR6+4BgxHjrMswXTEPw9RKUGsGk3mRwURekBClvvWHCP7g/aS+atkfIv2ShFavJr3QjD0nGZUmEY3+tEKSJKSIMFiO4R0gxxggzZAiQ0+hghQnFPcjxQOYbCaSSgtQO8yoknWozH2RZrMWpUE9RGMvxESaqrup3e2kYX8XsYiAPklD0SQ7xVMcZJVYT+n/G+8J0/HELprKfkPE0sLUyldJTirtfz0vv/wyNTU13H777RQUnN1K8rOOYDDIww8/TGGRnrS0xxiVdx/FxT9gx4v/Im2PDUWqjvdcYEkzcOMPpqBUQMvXv0Fg82ZG/fOfF60IWb27nh9s+AFHeo9wS9kt/L8p/w+d6jQX+dGAHJXe909o3AgooPAKmUyXLgbt2f/LWt0hHny7mpUHO8i1Gfj5tRVcVeZI3AlJYERw0Yi1QqHIAZ4FHgS+A1wHuIAMSZLiCoViJvALSZKuUSgUa/q2tyoUCjXQAdiBHwFIkvS7vjH7+53p2JeCWB/buRVXYz0qtQaVWo1Ko5G3NRqUajVqtbyWn1f3LUP7SooYXt9WunrW0N3zAaIYRqt19EWyF2OxTB5SZCHU5WH/dx6i3a3HUzSLQEhut2YY++UdWaNTRtRHOOhx01pTTUuNLO1wNtYjiSIKhRJ7fgHZpeV9RLrirIVYJEmku2cDzc3P0NOzEaVSS3r658nNuYPk5OE7A7jdbjZv3syePXsQRZGxY8cyZ84cHI6hdkmSJLG5bTPPVj3LtvZtAGSYMphgn8BE+0Qm2CdQaitFozo3fbEkSYQPVcklxVevIt7WjkKrJenyuZgXLiTpiitQGkf2oiaBTzckSUIKCwjeiEyafTFEb2SoptkbRYqJQ/ZXaJT9pFiV3CfHGCjP6Nv2dDaz5YlHOdpwFEmSyO71M75gDNlf/CLJV1yBQjs869B4VKCpqodjuztpPNBFPCpiMGspmmRn9FQHGUUpg0h2rDNA298/oHHSz1EnmZg2/Y3+cuiRSISnnnqKYDDIV7/6VSyWoZaBCZzE6tWr2b59O4sWNRII7uGyWR/Q3eSi+ZEtpBtHcdhuprHBy033V2LNMNH9t7/h/ON/kf7Tn2K79ZYLPj9Jknj12Kv8YccfMGqM/PqyXzM3Z+6pOsp66b3/gOo35BLjtkJZNz3+ZkgZnvVeOCbw1IZ6Hnu/FoCvX1HMfXML0Sc89RMYQVxMYv0q8DsgGfgecCewTZKk4r72XGCVJEljFQrFIWCBJEktfW11wHTgF337vND3/N/69nn1TMe+FMR6zV8e5tD6tSM6plIjkVIQJKXQS1K2B6VaIh7SEmxPJ9iaScCZQjSsIBaWABUKFGijAZLTLaQU52DocwFQniDxmhNkfiChV5+B/J/sKwhx2o8dobVGlnb0trcCoNZoyRhdIpPoMeVklpShGyZxjMcDtHe8TkvLswSDDWi1DnJybiU762a02tRhv09dXV1s2rSJAwcOADBx4kRmz56NzTbU9SAiRHir7i2er36eOk8dDoODm0tvxqA2sN+1n32ufXQEOgDQqXRUpFYwwTGBCXZ5STMMTfSSJInI0aN4V67Cu2oVsaYm0GhImjUL86KFJF15JaqkxO3GjyskSUKQBOJinLgYJybGhmwPXJ+q/VR9T7f/2frGxTh53Q5mtVaQE3aQFDGgFIZG1hRaJSqzDmWyBpVZ10+aB0aXVWYtinOwuATZ83zb83/n0LZNSKJAVq+PMSGBzAWLsCy5AX15+TlYZgocP9hN7e5Ojh/sJh4TMVq0FE92UDorE3uuLOuKtvhoemkZTRMfxJIylUmTn+3PN3G5XDz11FPY7Xbuuusu1OqEFvZU6O3t5dFHH2XiRAtG08MUFnyb3Oyv8t5PHqZCPQNvsYn1u9xc/m9jGDs3m+CePRy/7XaSP/c5sv/nTxc8euuJePjFll/wbtO7zMycyYOzH8RutA/u5G6Wi7fs+wf0NoA2CSpugIm3Qt6Ms0o9TkCSJN497OTXb1XT1BNk0bgMfrKojBxrIqiRwMjjohBrhUJxLbBIkqSvKxSKK5CJ9V3A1g8R65WSJI1TKBRVwDUfItbTgF/17TOQWK+UJOm1UxzzPuA+gLy8vCnHjx//SHP/qDh06BDdXV2UjhlDisWCEI8hxGOI8TjxmLwWYjGEeLyv7cOPYwixOGI8drL/iX7xONGwj7B0GKX5KHp7G0qVSNSvx9ecQagjCzGQglIhEmltQQiHIcWCpNEg9I0Vj67Bgv8AACAASURBVMfkKMB5Qm9KImtMmSztKKvAUVB8Wi/k0yEUaqal5Xna2l8mHvdhNk8gN+dOHI4F51RQp6Ojg40bN1JVVYVarWbKlCnMmjXrlFGt7lA3/zryL/515F/0hHsotZVye/ntLMhfMCQq3RHoYL9rv7w491PdU01clN0McpJymOiQI9oTgmnYNh/Gv3oN0bo6UKkwTZ+OedFCkq+66pJ4wH7aIUkSHYEOjrmPcbT3KI2eRiJC5LzJrMSF1cWrFCrUSjUapWbQeuC2Fi1Tuku5vGUCmYFU/NoQe401dCq78GoDpNnTKcktY2LhVGx2O8oLnGzl7+lm54pX2f/OKkQhTpY7QFF7N6n5BViWLMFy/XWoU4d/ARwNx/tItpPjh7qRJImr76mgaLJ8RynS4KF25eN0lD1FTuYdjCn7ef++1dXVvPzyy0ydOpVrrz3P6nufUrz22mscPnyYq6+pJhw+xqyZ69n63Gtk12SjsOlY0yqQU2pl8dfHI7jdNNywBIVOR8Frr6JKPnPeyvliZ8dOfrTxR/SEe/j25G9zW/ltKE/ceY0GoeYtmUzXfwBIkD9HlnqUXw/acytfXu/y86u3qnn/iItiRxK/vL6Cy4oTto0JXDhcLGL9O+A2IA7oATOwDLiGT6kU5O2332bnzp0AOBwOysvL+72RPwokUcLZ5OvXSnc2eJEkuThHbrmetDHVKIybcHs3I0lR9LosHI6F2FOuwvOjJwhu3kLGL36B9eal/WOKgtBP4PvJ/ECCP4CEn7wQkNsA0guKSM3JO2up61O+HknC7d5Oc/MzuLreQ6FQ4rAvIDf3TiyWSec0VktLCxs3buTIkSNotVoqKyuZOXMmSaeICte563i++nnerHuTqBjl8pzLub38diozKocdoYkIEaq7q9nv3E9d9RaMH+xl4kE/+U4QgdZiM/45E7Avup7xJXOw6BK3q0cC/qifY+5jHOuVSfSxXnnbF/P193EYHBg1xlOS1lOR17O1D1yf6z5n2l+pOP1vRgzHCezowL+5FcETRe0wkDwnB+MkB3GlwJ7OPaxrWse65nV0BDpQKpRMtE9kft585ufOJ9f8ESvSDRMBdy87V7zG/ndWIsRi5KCkoKaBJEEiae5cLEtuIPnyy4ctFQEIB2K8/dgBOhu9XHlHGWOmy/kN4SM9VG37Ce7ctZSNfois3C/277N27Vo2b97MDTfcwMSJE0f8dX6S0dbWxpNPPsns2XYUyj8xuvh+FL6pdDyxl3RTPnuNerq9UW7+2XQMSWqav/o1gtu3k//Si+jLyy/YvGJijMf3Pc5fD/6VPHMeD819iIrUCjnI07xDJtNVyyDihZS8k64e1vxzPlYgEud/19Xyt0316NUq/vOq0dwxKx9NwuUogQuMi263dyJi3Ze8+Arw2oDkxQOSJP2fQqH4BjBuQPLijZIk3aRQKCqAf3IyefE9YPTHNXnR6/VSXV1NdXU1TU1NANjtdioqKigvLz+l1ncggt4ozYdl946m6h7C/hgowJGX3KeVTiU9P3mQHVo87sPlehencyXdPRuRpBh6XRaGfRpUy1vJuf1npN566wV93WeCIETo7HyT5pZn8PsPo9FYyc66meycW9Hrhp8sKEkSx48fZ8OGDdTX16PX65kxYwbTp0/HYDAM6bu1fSvPVT/H5tbN6FQ6ri+6ntvKb6PAcu4JULH2dryrVuNdtYrwwYMAKMeV45w5mh1lKrbHZeIn9H0tCywFg7TahSmFZyRWn3XExTjHvcf7yfOJdVugrb9PkiaJ0dbRlFhLGJ0ymtHW0RRbizFrP7mFHOLuCP4trQS2dyBFBHSFFpLm5qAvsZ6yAI8kSdT01LCueR3rmtZxtPcoAMUpxf0kuzx1+DKNc0XQ42bnm6+z7523iUej5Fvt5NfUY2zvRJWSgvm660hZcgO6srJhzSEajrPy8QO0HnUz75ZSymfLycX+A+0cPPIVQtZapkx+EYtNvvAWBIEXXniB5uZm7rnnHjIzMy/I6/wk4rnnnqO9vY1583cSjXYwdeJbrL//CcbpL6M718imgx4W/fs4CibY6XriSVz/8z9k/OIBrDfffMHm1OJr4Ycbf8gB1wGWFC/hR9N+hDHYCwdekhMRu2tBY4TyG2Tt9KjL4CMGbVbsb+N3K2vo8Ib54pQcfrBgDI7kU/tXJ5DASONSE+tCTtrt7QVulSQpolAo9MDzwCSgB7hZkqT6vv3vB+5Gjn5/W5KkVWc75sfBFcTr9XL48GGqq6s5IUtJS0sbRLIlUaKzwUtTdQ/HD3XjapIjcYZkDbnlsntHXrkNQ/LwIkGxmJeurrV0OlfS07MJSYqj6oJUzSxGXfVDkpMqLloWdCTSSUvrP2htfZFYrAeTqYTc3DvJSP88KtXwT3iSJFFbW8uGDRtobm7GZDIxa9Yspk6dOqRwRFSIsrJhJc9VP8ex3mOk6lP5cumXuWnMTVj1Z06g/DDiLhfe1WvwrlpFaM8eAPQVFZgXLcS8YAGa7OxB/YOxIFXdVbJO27mP/a79uCNuAJI1yYy3j+/Xao9PG0+S9rOnuZYkCVfINTgC7T5GnbuOmBgDZMlEgaWA0SmjKbGdJNGZpsxPTQZ/tM2Pf2Mrwf0uQMIwzk7ynGy0Oed2O77F18L65vWsa1rHHuceREkk3ZjOvNx5zMubR2V65Tkn3w4HQa+H3W8tY++at4lFwhQWlVDiDaP6YBNSNIpuzBgsS27Act3ZpSLxqMCqJw7RVNXNnKWjGT9Pjr67d9RwwHUHaCWmzX4LvUEOSgQCAZ544gmUSiX33XcfxkQiMLW1tbzwwgtcdZWDSPS/KR3zIEfe6CX/+GgUqXpWNkYpn53FvFtKCe7axfHb78C84Bqy/vu/L9hv6u36t/nNtt+gQMHPp/2YBaGITKbr14MkQt4suRpi+edB99FlKIfbvTywooodDT2My7bwi+srmDLq3M71CSRwvkgUiLkE8Pl8g0i2JEno1cloAqmofTbUgonMwhTZCq8iFXtu8nmXjI7F3Dg7VtO88c8E7C5QgcGQh8OxmHTHIpKShhdVOld4vPtpbn4Gp3MlkiSQlnYluTl3YLXOPKfjiaJITU0NGzdupL29HbPZzOzZs5k0aRKaD2m6e8O9vHzkZV6seZHucDejraO5vfx2FhUsQqsa/u3peG8vvjXv4F21iuCOHSBJ6EpKZDK9cCHaUaOGPZYkSRz3Hu9PiNzv2k9tby0SEgoUFFuL+yPaEx0TyUvO+9QQR5AvNGrdtf3k+QSRPnGxAbKMY7RtNCUpJf3R6AJLwZk/M1EA52Fo2Qktu6DrKKSXQ95MyJ0u30L+GL6PkiQROebGt6GFSK0bhVaJqTKDpMuyUdvOP7LWG+5lQ8sG1jevZ3PrZsJCmGRNMrNzZjM/bz6zs2aP+MVcyOdl99vL2bt6BdFQiOJJlVSk2FGt+4DwgQOgVpM0dy4pNy4hae7c00pFhJjIO3+ron6fi5lLiph8jfw769ywgarIVzGKRVRe+Soqtfw+tbS08PTTT5Ofn88tt9xyyaqmfhwgiiJPPvkk4XCIGTPXIoohHOrf4H6hDodxFFtREVOruOn+SpQBDw1LbkRpMJD/2qsXJKE6EAvw2+2/ZUXdCiZaivm9Ip3swysh7AFLLkz4siz1SD2LX/VZ4AnG+NPaIzy/7TgWg4bvX1PK0spcVOf5v5lAAh8FCWJ9kSHERdrrPH1a6R5c7T1EdF3Ek7oJq9yAhNVqY+xYOZKdkZExogRLisVouv/buLrWIizJJZDUjCQJGAz5pDsW4UhfTJJpzHkdUxRjOF2raW5+Fq93LypVEllZXyIn+zaMxuGTUZBv91ZVVbFx40ZcLhc2m43Zs2czfvz4IW4ADZ4Gnq9+nhV1K4gIES7Lvozby29nZubwSXysrQ3/5s341rxDYOtWEAS0BQWYFy3CvGghuqLz+wMYCF/Ux8Gug+x37u9PjvTH/ABYdVY5IbIvql2RWoFRc27ROCEQI+4KEneGiDmDxF1BYn0FgQxj0zBOtKMZ4aqagijQ7GseRJ6P9h6lxdfSnxBoUBv6I88D5RzDKlnsd8oEumWnvLTugVhAbjOmQloJOKvlP26ApAzZPSBvprxOHwuqS+ciIcVFgvtd+De2EOsIokzWknRZFknTMlAaL0yp+FA8xLa2baxvXs/7ze/TG+lFo9QwLXMa83PnMy933lA3hvM5nt/HnpUr2LtqBZFggKKpM5gy7TJ0O3fjWb6CuMuFymrFfN21pCxZgr5sqIWmIIi898xhju3sZOrifKZdW4BCoaDx3WepU/6K1OgCxl/9v/0keteuXbz11lvMnTuX+fPnj9hr+aRh//79LFu2jEWL7fh8f6K44EEO/amWCabLabPr2VXn58bvTyZ9VDLNX7mP4K5d5P/rJfSlpSM+l0Ndh/jB+9+lNdDOV6Mq7mutR63WQ9n1cnQ6f+5HknoMhCBKvLyrmT+uOYI7GOXWGaP4zudKSDEOP4CSQAIjjQSxvgjwdoVoqpa10i01vcQiAkqVgsxiiyzvqEglNdtEIBCgpqaG6upqGhoakCQJm81GeXk55eXlZGaOzO1vKR6n7cc/wfvmm6R8626Ez+fgcq6ip3crIGI0FuJwLCLdsQiTqWTYx4xGe2hre4mW1n8QiXRgMIwiN+d2MjO/cNbqiB9GPB5n//79bNq0id7eXhwOB3PmzKGiomJQREqSJHZ27OS56uf4oOUDtEot1xVdx61lt1JsLT7rcQS/n+COHQQ2byGwZQvRhgYANDk5mBcuxLx4Ebox53ehMVyIkki9u74/or3PuY9GbyMgSyJKrCX9DiQTHRPJMmWBBII7IpNmZ6hvLZNoMRDvH1uhUaJOM6B2GJHCccLH3CBKqO0GjBPsGCY60KQZTjOzU6M71D0kmbDOXUdYCAOgVCjJS84bRKBLUkrITs4ensY8HoGOg4OJtLvP3UephozxcnW1nErImXoyOi2K4KqRfW+btsmLR85xQJsk98+bCXnTIXsq6C68DEcMxQnsaMe3uQ3RG0WdbpQTEifaUagvXoRVEAX2ufaxvmk965rX0exrBmC8fTzzcucxP28+hZbCETlWOOBnz8oV7Fm1nEggQOHkSmYsWUpyhxP3smX4330PKRZDV1pKypIbMF93HeoBlpiiKPH+CzUc3tLOxM/lMetG+aK2+p2f0aF5kTzhW4z+3H8CfbraFSvYu3cvN998M6UXgCh+3BGLxXj00UcxGvWMG/8qSqUO94YrGeOaiGjTs7oxwrTrCqhcXEDX44/jevgRMn71S6w33TSi8xBjIZ7+4H4ebV1LWjzO753dTHFMlHXTFUtAPzLJ3HubenlgRRUHWjxU5lv55fVjKc/65OZYJPDpQYJYXyC0HXNTv9dFU3U3vR1BAJJtevLGyjrpnFIrWv3pI2cDSXZ9fT2SJGG1WvtJdlbW6asVDgeSIND+05/hWbaM1K9+Ffu3/5NYrBun6x2czpX09m5HJtnFfZHsRSSZRp9yLL//CM3Nz9DRuRxRjGCzXkZu7p2kpl4xpHjN2RCNRtmzZw+bN2/G5/ORlZXF3LlzKSkpGUSoY0KM1Y2reb76eQ73HMamt7F0zFKWjllKquH0Ok4pHid04CCBLTKRDu3fD4KAwmDAWDkV06xZmGbNQjd69MdCiuEOuznQdYAD7ftpbWok2OkhI2gjJ5pBQSyH7IgdjXjye6Q0qVHbjWgcRtR2I2qHAY3diCpFN0hOJARihA51EdrvItLgAQk02UkYJ9oxjrejGlDaPCJEqHPXDUkm7A539/ex6W2Dos8lthKKLEXo1cOUNUgSeJpPSjpadkL7fhCicrs5RybPJ4h05njQnMOFgKflJMlu2gadhwAJFCp5rBMR7dwZkJw+/HHPgrg7jH9TG4GdfQmJxSkkz8lGV2K95N8vSZKoddf267KruqsAyDfnMy9vHvNz5zPePv68E20jwQB7V73J7rffIBzwUzBpKjO/8GUc9nS8q1bhXvYG4QMHUJrN5DzyCKYZ00/OUZTY+K+jHPyglbGXZzN3aQkSIrvfuRWvejel6v8h+4rFgEws//73v9PT08N9991H6jlY/30asGXLFt555x2WLLHT1f0nbKr/QHg9FYcpj41hBbp0Izd+bzKhnTtpuvtuzIsXk/WHh0bmeyhJ0L4P5+6/85P2d9muU3N1ROTn+TdgmXwXpJ09yDFcuHwRHlpdw6u7W3Ak67h/cRnXTzi//8MEEhhJJIj1BcL6f9RwZGsH2SUp/dUOU9KNH+nHHwwGB5FsURRJSUnpJ9nZ2dkfaVxJFOl44AHcr7yK7Z67cXzve/3jRKJduJxr6HS+jdu9A5AwmUb3a7KNxny6utbT3PIMvb1bUSp1ZGQsITfnDpKSSs55LuFwmF27drFlyxaCwSCjRo1izpw5FBUVDXptnoiHV46+wouHX8QZclJoKeT28ttZXLj4lCROkiRix4/j37KFwOYtBLdvR/T7QaFAP3ZsP5E2TJqI8hzswS4UxFD8pGzDGSLetx3vCXPCWlkCIklxOgw9HFM2UK2opVnXQbu+m5z0vEEOJOmms5NEwRMheMBFcJ+LWKsfCYkeR5C9acdYY9hIdegIoiRX8NOpdBSlFMnk2VrSH40+VaGcMyIagLa9g4m0v1NuUxsga9IAIj0VzKcuP/+REfbIxzxBtFt2QVyWyWArPEm082ZCavE567SjrX58G1sIHXABYBhvJ3lODtrsj2+Sakegg/eb32dd0zp2duwkLsVJ1adyRe4VzM+bz/TM6acvMz0MRIJB9q15i11vv0HY5yV/wmRmfvHLZJWUET5yhNbvfpfo8SayfvNrLJ//fP9+kiSx9fU69q5tonRWJvNuLUWI+9j+/nXERQ/jLE+TOlN2CnG73TzxxBMkJydz7733ov0Y/KYvBkKhEA8//DDZ2Q4KCv+OWmWj67kpTDTPpzFZQ5UzwtL7K0lSBqlfsgRVspmCV15GaTo3T+ghkCTY8yxsf5L1/np+npZKRKXmR8VfYsmMH6EYQdlVTBB5butx/rz2KOG4wN2zC/iP+aNJusD+7QkkcK5IEOsLhKA3ikavQqMd2VKpwWCQI0eOUF1dTV1dHaIoYrFY+kl2Tk7OOZFsSRTp+PWvcb/4ErY7bsfxox8N2T8SceF0rcbpXInbvROQUKvNxONedLoMcrJvIzt7aX/Z4XN9Pdu3b2f79u2Ew2GKioqYO3cuoz6UGNjkbeL56udZXrecUDzEjMwZ3F5+O5dlXzYkohbv7SW4bZscld68hVibbNOmyc6WifRll2GaMf2SFWyRJAnBEyXuDBJzBfvIs6yDFv2xkx3VCjRphr7IsxGNo287zYBywPeqK9Q1qIBNVXcVESECQKYps186MsE+gTG2MWiUGjwRz+AItPsYtb21pARNXOGZyuXeSvKiGQgKEVeGn3iZnvRJ+eSl5qNSnuN3WhShp+6knKNlJ3RWwwmXTFvRSQKdUwnpFXAB3CvOiHgUOg4MkI9shWBfRN6YKkeyTxDtzAmgHkrY5IqbvXJCYp0HhVaFaVoGSbOzUKd8sqy+vFEvm1o2sa55HRtbNhKMBzGoDczOlpMf52R/dH/2aDjEvjVvs+utZYS8HvLGTWTmF79MZlYuLd/6T4LbtpH2zW+S9o2v95+LJEli51sN7Hy7kdFTHVx5VzmhQD07dyxB47czYdQzJE/KA6Curo4XXniBiooKvvCFL3wmIpknPL2/9CUbHZ0PEz60kIqWJcRS9LzTFGHebaWUzUin6Z57Ce3bR/7L/0Jfcu4BkEGI+GD5NwkfXs5/5RbzL1WEspTRPHTFf38kG9MzYUttFw+sqOKY08/lJXZ+fl05RfaP70VqAp9tJIj1JxihUIgjR45QVVXVT7LNZvMgkj2cDHlJkuh88Lf0vvAC1ltuIf2n95/2zygS6cTpXI3Huw972lXY7VejVJ47CfL5fGzdupWdO3cSi8UoLS1lzpw5ZA+wrZMkiT3OPTxX9Rzrm9ejUqpYXLCY28pvY4xtTH8/MRoltGcvgc2bCWzZQri6GiQJZXIyphnT+6PSmryL67QhxUXi3aF+0nxyHUSKiv39FHq1TJodRjQn5BsOIyqr/iO5wcSEGDU9NYMcSE6UZder9Ji1ZpwhZ39/i84yJAJdbClG0yUR3O8itN+F4I6g0CjRl9kwTrCjH2M7vTY41Astu6F118mIdLjP/UNngZwpsrb5BJk2Di01f8khSbKvbtNWaNour3vq5Da1Xp5/H9GWMqcQrIni29hCvDOIyqwl6bJsTNMyUBo++dG0qBBlR8cO1jWt4/3m93GFXKgVaqZkTGF+7nzm580nwzR8D/oTiIXD7F+7kp1vvk7Q4yZ/wmQ+d/e/4//zI3jeeAPL5z9P5q9/Ncg9ZM+a42xdVkfBhDSuuXcsPT3rOHDoayR3TmfshIcxVsh3TjZu3Mh7773HggULmDFjxoi9Fx9HeDweHnnkESoqikmz/wkpkkbSm7dgN+WyzifiKE9l4dfG0fXoY3Q99hiZDz5IyhduPL+Ddh2Dl26h1VPPtworOBrt4Y7yO/jW5G+dk/PS2dDqDvHg29WsPNhBrs3Az6+t4Koyx2fiYimBTy4SxPpTglAoxNGjR/tJtiAIJCcn95Ps3NzcM5JsSZJwPvQHep55hpSlS8l44OcfqaLi2eB2u9m8eTN79+5FEATGjh3L7NmzSU8/KVmIiTHWNq7luernqOquwqKzcFPJTXy59MvYjfa+yOCxfp10cNcupFAI1GoMEyZgmjWTpMsuQz92LAr1hSc2Yjg+iDSfSCKMd4fkUox9UFl0/ZpntcOI2i4TaGWS5oL/UZwoy77PuQ9v1EtRSlG/HtphPPMflSRKRJu8BPe5CB3sQgzEUOhVsrPIOBu6pFYUbbtOSjq6j8k7KpTgKB+sjU4dfd5OAJcMfucAnfb/b+++w6OqEj6Of8/U9N4boScECKD0Ik0FO+Ku61rQ1Rcsu7Ytoq4iVuwCitjWtbCudRVUQEoQEFB6CyX0ENL7JJl+3j/upBKQku75PE+euW0m52aSm9+ce8p63CcOYHFegsV5JW5CMfqU4pcKPiNTESHNO/tha3FLN7sKdrHy2ErSMtM4VHoIgOSQZMYmaCOM9Ag+8w7PAA6ble3LFrPuswXoTSYuvfM+An/ZTMGcufgMHkzc3DnoA2o7pe1IO86aT/eTkBLCxGl9OHbsTQ4fe5XwA9fTY+w/8OoWhNvt5tNPPyUjI4MpU6acdAesI/n666/ZuXMn113nw4nseViXTyTVfT0ZJj2HrW5ueGwQ7p2bOHb7HQRefTUxs547v2+4ZxH87y62eXtxX2Q4DiF4fuTzjIwb2TQnBFgdLt5ZfYg3Vh1ASrhnTDemjuqCl7Fp7wArSnNQwboDslqtNSH7wIEDNSE7OTmZXr16kZCQ0GjIllKS/8qrFL7zDoGTryX6yScR+qa5kBUWFrJ27Vq2b98OQGpqKiNGjKjXwajMXsaX+79kwZ4F5FbmkhiQyM29bubKrldiKCqvCdIV69fjyi8AwNSlS02NtM+gQej9zrPN4ClIKXGX2xvUPHuab5TZaw/UCwyh3hjDtRporRZaa8KhM7f/fwqyNAfbxm1U7i6lKjcU6Tajoxgf/Rq8fXdgSgxBxHuCdEz/85rsoa1yFlmx/JSldUi0uzGHluDvuxxz8RcIz3CJBMZ7arQ9zUfCk9vvB4rTOFx6mLTMNNKOpbE9fzsSSaxfbE3I7h/RH4PuzD7cFp04znezXyTvyEH6T7yS1MBw8h5/AlNCAvFvvYUprvZuVvpPJ0j7eC+xPYKYeGcf9u27n/zCpcTt+CuJk2/EnBCA1WrlnXfewWq1Mm3aNAICOt6IETk5OcyfP59hw1Ixm2dSlRNI0pYZ2PzMLM+yccWfU4mJcHF40rXog4Po/Nln6M51Eh23C1Y+DWtfYVFcL2aYrUT7xvD6uNebrOmHlJIVe/J48tt0jhVVMrF3FI9enkxcsJr4R2k/VLDu4KxWKxkZGTUh2+l04ufnVxOyO3XqdNLwdQVz51Iw700Cr76K6GefPa9wnZuby5o1a9i9ezd6vZ4BAwYwfPhwAgNr22ceLz/Ogj0L+CrjKyqdlQyKGsQtna+nf7aZqnXrqVj3E7aMAwDog4PxHTpUayc9bCjGJp7GWEqJq9CKI7e2/bMjX+tEKG2umuOEWV8bmus04TCEeCH0HSRAOW2QvaNO2+hNtcPW6YzIyAFUeU+kqrw3VSe8wAX6EC98+oZrY2RHNc+HnNZiP15O+ZosqnbmAwKf1HD8RsZiivG09XQ5IW93bRvto+vBojXBwRwI8YNqg3bsgLMb1aQdKKgqYFXmKtIy09hwYgN2t50gcxAXxV3EmIQxDIsZhrfh9OfsdDhYs+B9tixeSHhiF8aNnoBlxkyE0Uj8m/Pw7tu35tj9v+Sw/N97iEwMYOLd3dmx8w9UlR8ncetMYm+5BFO0L3l5ebzzzjtERUUxZcqUk8a+b+8+/vhjjh8/zjXXSLKy3sN/1V1EuQayrNhJt1GxjPpdV47d9ieqdu2i8+efYe52jqNzVBbBF3/CfSiNuckjeNd6jEFRg3hl9Cvn3Na+oUP5Fp78Np1V+/LpFuHHE1emMKL7WXaKVpQ2QAXr3xCbzVYTsjMyMnA6nfj6+pKcnExKSgoJCQnoPSE6/403KJj7ujYk0/OzzrpJRVZWFqtXr2bfvn2YTCYGDhzI0KFD8aszu9e2vG18mP4hK46tQO8W/FE3hMsKYvHddoCqrVuRDgfCZMLnwgtqh8FLSmqyJipSSlxFVuxZFuxZFhzHy7FnWZDW2gCtCzB5hq7zrveo8zd1rHZ+UkLJsfqjdOTsqB3uLjC+fpOOqL5grO2Q57Y6qdpdSOX2fGwHisENhkgffFLD8UkNxxDaPkOkdEusPS7PMAAAIABJREFU+4uxrD6O7VApwqzHd3AUfsNiMQT9yggZUmrjblcH7WMbtPG1AXRGrUa/OmjHDwbfjjM8XIWjgp+yfiItM40fj/9Iub0cL70XQ2OGMiZ+DBfFX0SI16nb1h/c/AtL3nwNp93GqCuuxe/tf+MqKCD2pRfxHz++9ritefzw7m5CY/24ZFoY23ddh77cl047ZhI1dQjGMG927drFF198waBBg7jsssta4vRbxOHDh/nggw8YP34gdsc/cByOJmX/DHZLKPAy8vtHB1I8by6F898i5vlZ9UZaOSsntsGnN1NZkcsjKSNYUZbB5O6TeXTIoxjPoX9NQxU2J3NXHuC9tYcwG/TcP747U4YlYuwoFRTKb44K1r9R1SE7PT2djIwMHA4HPj4+NSG7U6dOFL/7Hvmvvor/hAnEvvgCwvjrF9EjR46wZs0aDh48iJeXF4MHD2bw4MH4eG4/Ot1OVhxbwYfpH5KdsZ1BmWYuzYskel8hsrQMAHNSEr7DPc07LrgAndf5j6ggpcRVbNMCdFY59uNamJZVnklU9AJjtC+mWD9Msf4Yo30xhHujO81Y4+2azQInttQJ0pugwtOh0egDMQPqD3fnf+ad01wWO1U7C6jcno/9iPaemuL98U71jJEd0PaHQJNON5Vb8yhfk4UzrxJ9YJ0OiefzO1FZBJk/17bVPrGl9sNLWE9t0prqof6CO7fJ6djPlsPtYHPu5ppJaXIqctAJHf0j+tdMShPvf3Kb9PKiAhbPfZnM9J30uHAIPTftwLVjF5EPTyfklltqjjuys4Alb+0iMMKb0X+ykb7/DvwK+xF/8EEi7uyPIcjM0qVLWb9+PZMmTSI1NbUlT79ZuN1u3n33XSwWCxMmFHPixCd0+ulpHDKOH/McTH7oAnyO7SBz6lQCJ19LzNNPn9s32roAvn2AHP9w7k3ozD5LJn+78G/clHzTeVcsSClZuP0Ez32/l5wyK9cOiGX6xCQi/NvXCDqK0pAK1gp2u70mZO/fv78mZCclJRGfmYnp9TcIHD+O2JdfrtdDv5qUkoMHD7J69WqOHTuGr68vQ4cOZeDAgZjNWq2exW7hm23/YeuSj4jbU8iAY3rCC7VQa4iMrKmR9h06BEPY+d3+qx7OrroGuro22l3pCdG62hBtjPXDFOePMdKnRWfAa1ZSakNhledAebb2aMmpXS/I0Kb99oxNTWj3+sPdRfRqsmm/nSVWqrYXULktD0d2BQgwdwnEJzUC796hzTaN97lyVzqw/JyNZd0J3OUOjNG++I2Kw6dvWPM08XFYtfG8q2u0MzfUmY49ssF07H1adTr2piClZG/RXlZmrmTlsZXsL94PQLegblzZ9Upu7nVzvVpQt9vFL19/wbrPF+AfGsYgpwHTqjUE33QTkQ9Pr2mmlrm3iO/n7cAv2IvBf9zJ0axZhB6ZRFTRHwi/sy946/nwww/JysrijjvuICrq7EcxaUuqa+GvvHIYJSX3YDo6gIQD97C82EnqVV1I7e/F4UnXYggPJ/GzT8++csJphyXTYdN77Oo8mL942ahy2Xhh1AuMiht13uXfk13GjIW7+eVwEb1jA5h5VQoXdGqDowMpyjlQwVqpx263c+DAgZqQbbfb8dLpiM44QI+QEC6c9RxGb+22vtvtZt++faxevZrs7GwCAgIYPnw4AwYMwGg0Ih0Ojm9Yydbv/o3YuJMuJ1zoJLi9TPgPHoLf8BH4Dh+GqUuXc679kFLiLrN7aqDLcWRZsB+34K7wjAetA2Okb02ANsX6YYzyRRjbaYi2lUN5bm1gLs/WJlapu16eC46Kk59r9IWAaAjqVNukI3ZAiw1358irrBm+z1lQBXqBV49gfPqF45UcWm9s7pbmLLJiWZtFxSZPh8QewdoMid2CWrbJT93p2DM9w/yVeNq1G321yWt8w8A33PPlWfaLqL+9nbTfPl5+nLTMNJYfXc6WvC30De/L8yOfJ84/rt5xWfv28N2cF6goLiI1Mp6oxSvwHzOG2JdfqumMd+JACd++vh1vPwN9J39FQfHXxO68l2BGEj61L5UuK2+99RYGg4GpU6fi7d0+fkYNOZ1O3njjDYxGIwP7b6PUkkbXtS+yxxKMNcqPq+/rS+Ztt2Hbs4fEL77A3OUsOxaWnYDPboHjG1kyYDL/LNtBmHcYr499nW7B5zeDYmmlg1eW7eOjDUcJ9Dbyt0t78oeBCejPYVhRRWmrVLBWTsnhcNSE7L27d+NwuzG53fTq14/o2Fg2bdpEfn4+wcHBjBgxgtTUVFzHjlHx0zqyVy3BtWkbRpsLt4CCxCDCRo2l8/hr8E5NbbTm+0y4yuzYPU05HFlamHaXe0K0AGOkD8ZYf0xxntroaF9EexiiyV7hCcY5DUJyTv3gbLec/Fyjj9ZUwz9ae/SLqr9e/dVGRuiQUuLIsmjD9+3Ix1Vm18bI7hWqjZHdI7jF7h7YM8u1GRJ3FoCuukNiHKboNtTxsjRLq8k+9rMWsivyPV8FjX+AAjD5eYJ2RP0AXr3sF1G77h0MZzvpTzNYcngJM9fPBOCxIY9xWZf67aGtFgs/vD2HjJ/XERMeRfLqXwjs3oP4+W9iCA8HIPdIGYvmbMPo7aLHFbOxWg+SsP5R/IOTCbu9N1m5J3j//ffp2rUrN9xwwxmN89/WbNiwgSVLljD52qHk5t9N0NGLMR++ifXlLv7wz0FYP5hH4TvvEvPSSwRecfnZvfiRtfD5rUhHFfMHTmbeiTQGRAzg1TGvnrZN/K9xuSWfbcrkxaX7KKm0c+PgTvz1kh4E+bT9ZmGKcrZUsG4mpbZS3NKNj9EHk679d3RzOBzs+OBDdqxdw4mEBBw6HeHh4QwfMIBOBYVUrddG73DmaNNS5wTBnq4mAoaPZMw19xIbc/azfLks9toA7WnWUTO0nQBDuA+mOD+tFjpOaxfdmrWejbJX1mmG0UhwtuRqy7ayk59r8GoQkKO15gF11/0jwRzQbtviSrfEfqRUq8neWYC70onwNuDTOwzvfuGYOwee0yQ5v/Y9rfuKKF99HPvhMq1D4pBo/IfFoA889ym7W4W9ojZk1wTufLDk1w/gFflQWVDb/KcuodNml6wJ4I2F8XDw8zyamu9DR5Yli4dWP8T2/O1c3fVqHhn8CD7G2qHWpJTsXLGUtH+/jdFgoE9GJlFmbxLeegtz9+4AFBy3sHD2VvReJSSOfxq99CJ+xXR8EuMIm5LCxi2b+P777xk9ejSjR49utnNpDlarlTlz5hAZGUls0H8R3kfo/NOLpOX5MPyWZGJt+zh+510EXX890TOfOPMXlhI2zIMfHsMa0pnHel7Ikux1XNX1KmYMnXFek75sPVbMjIW72XG8lIGJwTxxVQopMU0zkoiitEUqWDeTGetm8FXGVwDohA4fg4/2ZfTB2+CNt8EbH6O2re5y9f7q5Yb76y4bW3raZ6Dky684/vjj2FP7Elhlxb5nDwBOXy92J+r4Od5Kbq8oJo64lUndJuFnOrNpZ10VjtoA7QnTrlJtWm4EGMK8tbbQsX5abXS0X+uOC+2w1m+33FhwtuTUtpetS2+uX5N8qppmr8B2G5jPhXS5sWaUULUtj6r0QqTdjc7fhE/fMHz6RWCM8zuvD6jSUd0h8TjO/Cr0gWb8RsTiOzCy43ZSrcvt0mbFrGgkdFvyGoTzArCXN/46Rp9GmqNEnNw8xTdcC+xn2S7c6XYyf/t83tn5DvH+8Tw/6nlSQlPqHVOQeZTvZr9AQeZRulps9MwtIWHuHHyHDgWgOKeCb17disEvg5jhzxOg70/kkml494og5IYkvln0Ddu3b+ePf/wjPc53au8WtGLFCtasWcPEizphkU8TevAqMnddjTEllLGXh3Dk2skYYmJI/O8n6Mxn+CHRXgEL/wK7viS/56Xc6we7i/Zy/wX3c1vKbef8N5dfbuP5JXv5YvNxIvzNPHJZMlf3i2n3lUyK8mtUsG4mG3M2sr94P1XOKiodldqjs5JKRyWVzsqa7fWWHZU4pfOMv4dBZzhtCG8Y0quXvY3eJx9bZ/uvTehQ+s035L74EiIhhvSuJj4L3MfO0Er6RKYypdcUxiaMPe1ruCsdWqfC47UjdLhKbLXnFeZdE6BNsf4YY33RmVsw+FjyoPjIye2W665XT9Fdl85YpzY58tQ1zd7Bv6nAfC7cdhfWvUVUbsvHuq8IXBJ9qFfN8H3GyDOvNXVVOKjYkI1l/QncFgfGGF/8R8Xh3aeZOiSeByklDpekyuHC6nBRZXdR5XDVrHcL9yMioIVGTXBUecJ2I6G7sTAuXY28iNDa8J8UuiNODucBsfWGcNyUs4npa6ZTaC3kvv73cUvKLehE7fvlsNv48cP32L7se4JckHooi27/fJygaycBUJpfyTevbsMUtpLwfu8Tpf8DgYsn4NM/Ar9rOvOv9/9FSUkJU6dOJSSk7XecKysrY86cOXTv1g0/12v4hFUQuPYldth9uP7hC8i983ZsGRl0/upLTGc602ThQfj0Jsjfy57hd/OX4p8ps5fx3MjnGJcw7pzK6XC5+XD9UV5bth+r08WfhnfmL+O649eS13BFaUUqWLcxDpfj1MG7wfLpAnvDQO9q9J9e40w6U03IPlUoL7OXkXYsDTduxiWM45Zet9Avot9Jr+Wucp40xJ2ryFqzXx/qVTvEnadZR4vWHkoJRYfg6DrPpB7roPhw/WN0hjq1yaeqaY7WAoQKzE3OXeWkapc2fJ/tYAlIMEb54t1PG77PENJ40HQWVlG+NovKTblIhxuvnsH4jYzD3DXwnGrNHC63FnDrhN3q4Gt1uLA63PXWG4biKrvnGMfJx9Tsd7pxuU99nRUCBiQEM7F3FJemRBEf0kZmpHO7tQ+bNUG8keYpFQW1YdzWyJ0cr0AY+VcYNK0mYJfaSnli3RMsP7acodFDeWbEM4T7hNd7WsbP61g6fzauykpSjubQ94abCL/3XoQQlBdZ+ebVrXh3+hdBXVbSRT6CcVkPfIdGI0eG8PbbbxMYGMjtt9+O6Rz7fbSUhQsXsm3bNvpGFuPffSEhGdexedulXPqXfpgWvUvR++8T++orBEyceGYvuG8xfDUNdHpWjLmPhzP+Q6A5kLlj55IUknROZVx3oIAnFu1mf66Fkd3DeOKqFLqGn9ldS0XpKFSw/g2QUmJ326lynLrWvNJZWbu/zvKpatyllEzsPJEbk2+s6cHvtlaH6Noh7pyFdUJ0iFedIe78MMX4tfxwa24X5O7SZsU7tk4b4syitQvHO0Qb2qzTUAhPqg3NPqEdcjrq9shVbqdqR742RvYxramCqVMAPqnhkBREMWA9WoZuUy6mQ2UgoDjRn6zuART56D3htjoUu+uE4tqgXLPsOaZ6/XSB91SMeoGXQY+XSY+3UfvSlnXaukl/0n5vkx6vmmVdzX6TXsfmo8Us3pXDnmytTX7v2AAm9o5mQu+o9hVgnLY6wdsTxnd9BQeWQUAcjH0U+l4POj1SSr7I+IIXfnkBH6MPTw1/6qQh38oK8vh+9otk7d9DbFE5Q/oOJOG5Z9GZTFSU2vhm9ib8ez6Db/gRelpfQa72xX9MPHldHCxYsIC+ffsyadKkNttMIT8/n3nz5tE9PpYwn39hCrRSuvRZQoZ1oV/YcY7ffQ/Bf7yBqMcf//UXc7tg1SxY/QIyui/v9b+a2Xs+oG9YX2aPnU2Y99kPd5pVUsWz3+3hu53ZxAV789gVvbikV2Sb/XkqSnNSwVo5J26bE0dWhWec6HIcxy3aEGoe+iBzTafC6jCt922FMYsdVm0Sjuoa6cxfajsKBsbXBumEYRDWQwXoNkZKSXGlg7xyK/nlNvLKbOSV28gvt2ErrCQh10afMhcJLoELyXHcdEJPOZKvsfMFdgo5+bql1wl8PCHXqzrkGj2BtkEI9jJoAff0++tuqz22uWaPO1pYwZJdOSzelcO2TK1ZUo9IPyakRDGhdzTJ0f7tM9QcXg3LHtfG9o5IgYufhG7jQAgOlhzkH6v/wf7i/dyUfBMPXPBAvU51bpeL9V9+ws9f/hdvm52hvqH0eeNN9EFBVJXbWTRvNQEpD+Pla6BXyWzsP9sInJjIFg6RlpbGZZddxqBBg1rx5E/tk08+4fDhwyTatxM5ahPe6TdxtHAiV98SS+b112GKi6PTfz9B92u17pVF8NVUOLAMe+oNzAwNZOHh75nYeSJPDnsSL8OZNzOSUpKeXcZ3O7L510+HkRLuHt2NaRd1was9jMSkKM1EBWvlJNLpxlVqw1Vqw1lq15ZLbDXbXKX22nGiAX2gSRvirrpjYawfer9Wuq1qLdXCc3WQztoCLk/77fAkT5Aepj0GnTzbm9Iy7E43BRYtJOeVWcm31A/N+eVW8sptFFhsOFwnX3d8TXoiArwI9zMTHmCmp05P7zIXkWVOLJ38qUoKxuxj9NT+6hrUFjdf4G0NJ0qq+GG3FrI3HinCLaFTqA8TekcxISWKfvEtPBb3+XK7If1/sOJJra9D51FawI7pj81l49XNr7JgzwJ6BvfkhVEv0CWoS72nZ6bv5NsXn6aqwkKKTTJ67nzMCQlYKxx8/97X+Cc9jrc5iZ5ZM7HtKCXw6q4sOryKAwcOcOutt5KQkNA6530KR48e5f333yfKAMm9VoLZxsElT3Plgxdgeegu7IcOae2qf63c2Tu09tRlJyi8eAYPFG9ka/5W7ul3D9P6Tjuj3xGb08WGQ0UsT89lxZ5cTpRaEQImpETxyGXJbadpkqK0IhWsm4nV4cKo17W5ge9rQ7PdE5xttcG5zI6rxFYvNFcT3gYMgSb0gWbtK8iMMUZrE633b8W2ieW5WpOO6qYdubu1IcV0BohOrR+kW2gilN8qKSUWm1OrWS6vDcl55Vbyy2x1wrOV4sqTf8cAQn1NhPubCfc3E+HvRUSAmYi6655lX9URqlEFFhvL0nNZvCuHdQcKcLol0YFeXJoSxcTeUVyYGNLmrkmn5LTDpn/B6hegshB6T4axj0FIZ37M/JHHfnqMKmcVDw16iMndJ9cLhlXlZXw/ayZHDuwjosrB5dMfJ2TYcOxVTpb+5w18Os/BV3c13Y7cjnVfET6TEvlo/Vc4HA6mTZuGv3/bGfP9vffeoyAvjz7Og3iNWEXV5tuISb2ZmE0LKP7wI2Jnzybg0ktO/0LbP4VF94J3CBmXPctf0t+isKqQp0c8zaWJl572qcUVdtL25bF8Ty4/7sunwu7C26hnZPcwxveKZGxSBGF+7WyYSkVpRipYN5PpX+7gvxsz8TMbCPAy4O9lJMDbQICXEX8vAwHexpOWA7w9x3m2+XsZMBvO/JaadLprwrGrzIazxFYvRLtKbbgtjYRmLwOGoDqhuebLhD7IjD7A3LpD21Wr7mh4bH1tkC46pO0z+mhTcicM05p2xA1s1vF2f0vcbklhhb22OUZNrbIWkvPqhOYqx8mdZE16XZ2wXD80h/uZPeHZi1A/U4eqSW5tpZUOlu/JZcnuHH7cn4/d6SbMz8TFvbSQPbRraPv4eVtL4afZsH4euJ0w8A4Y9XfyhZtH1j7ChuwNXNzpYmYMnUGguXZ8ZCklm/7zAWu/+Ryj0824K68j+bbbcdhdLP/f3zGFf4M/D9L5wEhsR0pxXRHBRys/JyYmhilTpqDXt/41Lz09nc8++4yQomL6j9+MEyjNeJXRvYvJvu8+gm++mahHHzn1Czjt8MM/4Ze3oNMIVo+Yxt9/eQZfoy9zx84lJSyl0acdLqhgeXouy/bksslzFyTC38y45Egu7hXBsK5hqrmHopyCCtbNZOXeXLZnllJudVJmdVBW5aDM6qiz7qTc6uDX+kOZDToCvI0EmQ3EGw3E6Q1ECh3hCELcEOiQ+NrceNvcGK0nhxrhpUcfaMYQ1CAw1wnQbSI0N8bt0mqgq0frOLZBGxsatCHrEobW1khHp4LeWG+4MptnpAars3bUhuqOalanG6vd1cg+7XgAg06gEwKDTqDXex6FQK/TYdDX2acTp1nX7lrodXX26QS6eus6dDrO6Fh93ecIzusWv9XhqhOUa0NzTVD2hObCCnujHff8zQbCPTXKEf5eNcFZC8y1tc2B3sb21RShA6qwOUnbl8fiXTmk7c2j0u4iwMvA+F6RTOwdzcju7SAolZ2AVc/B1o+1mSWH34d78J38O+Mz5m6ZS5hPGM+PfJ4BkQPqPS17xzYWPfM45dJFny5JjH1qFlJK0pb8EZ33DoLcrxCfEYsjp4Lci/Qs+mkpQ4YMYcKECa10ohqXy8W8efMoL8hnXKAdS7/PKdx0N+Mvm0T+bX/AlJhI4oKPTz2LbXkOfDYFMjcgh9zDR3E9eHnLq/QM7sncsXOJ9I2s/V5uyZZjxTVh+lC+NqNncnQA45MjGJ8cSZ/YQHTt5W6HorQiFaxbkZSSCruLUouNioIqKouqsBdZcZXZocyOvsKBqdKFt82Fj0PS8JJmQZKHm7yaRzf5SHI9j3m4setEvRrwAK8zqynXthvxNxvO62IqpcTuctcPtQ0DrmfZYbXiW7idkMLNRBZvIapsB14ubQrvYkMEGd592GvszU59Lw4SS5UTT3iu/zrnMHgDoAVpL6PWJhcELrcbp1vidkucbonL89iWNAzi9ZZF9QcCXe26TmB3uckrs1JmPXnMdCEg1Lc2IDfWDKM6RHu3tVkulTNidbhYk1HA4l3ZLE/PpczqxNekZ3RSBBN7RzGmZ0TbbmqTtxdWzIR932vDXI55hF2xqfzjp4fJsmQxre80pvadWm8sfVtpCd/ddzeHq8oI9fblmudewSvIh7U/XonLVUGIax7xB024iq1s7V3ApvStTJ48mT59+rTaaW7cuJHvvvuO7kWS+EuXYLX6EB/1AV6vPIg9M5POX32FKS628ScfXQ+fTwFbOY4rX+MZyx6+zPiS8QnjeWbEM/gYfaiwOVmTkc+y9DzS9uVRVGHHqBcM6RLK+ORIxiVHEBes2kwrytlSwbqZSZeneUadjn+ukjptm6ubZzT40QqzXmuGEWjG0LCWOUhb15kNWB2u2prwKgdlnse6NeWNL2s15hX2Xx/f2t/cMHAb8DEZcLhqa3mrhy2zORsEaKeLU/3a+FHJBboMBur2MlC3j37iIGahNVXJcMeyWSaxXZfMTkMKJaaomtBbPQqD2eBZr7O9Ztmor/PV2D4dZkPt0GZeBh2GM7wtXj9ou3G7wel21wRvV50Q7qq37m6wLnFJictV51gptUDvqrsuT7HuxiU9z/W8hvtU63W+t0GnO6kZRnVtc4iv6Yx/Dkr753C5WX+wkMW7cliWnkOBxY7ZoGNUj3AmpEQxPjmSwJYeEvNMHV0HPzwGWZsgPImKMdN5tnAjCw8ton9Ef2aNnEWMX0zN4dLtZuOj01mfsROhN3DJXfcROyCen3+ZjLUkgjD3bDodseKstLM0Kp3cwjzuuOMOIiMjT1OI5mGz2Zj92mu4iku4PM5Efq+PceXMoO/BYxQvWEDcG6/jP66RCVykhF/ehqWPQFAnSia9yYPpb7ExZyP/1+f/mNzldtL2FrB8Ty7rDhRid7kJ9DYypmc443tFMqpHOAFebfT9VpR2QgXrZlK65AgVm3NxW+yNh+bqgBxgarSZRktNkuJ0uWvCdm04rw3oZVYtgJdVVR+jLVfYnZj0usaDrOHk7WaDjiB3CXFlW4ks2Upo4Wb8S/cipBsp9NjC++CIHYxMGIo+cRjmgHAV8BSlBbnckk1Hili8K4elu3PILrVi0AmGdQtjYu8oLu4V2fY6qUkJexbC8plQdBAShvFd38t4av8CdOiYMWzGSZ3zjr33Lsu+/pQSHzMpQ0eR+rsU0vfdS+mRIUQZHyUxs5xKVxX/M2/E7GVm6tSpeHm10GyXHitXrmT16tWMroqHi+ZRVRXBBcZ7KfzHg4TceiuR0x86+Un2Svj2ftjxKfS8jEPjHubPa6eTbclheNBdHDmaxK4sbajRTqE+XJwcyfhekVzYKVhdaxWlCalg3UwsP2djzyxv0L65ZUNzq5JSm8GwupPh0fXaPz4Ag7fW0bB6tI64gWBuR5NbKEoH53ZLth8vYcnuHJbsyuFoYSU6AQMTQ7RZH3tHER3o3drFrOVywJYPtIlPKvLJTJrAdG8nO0r2c233a3lo4EP4GGubNZSmpZH27EwOhvgRHB7JwNs7kVf8Abnbfk9C4I10ySonx1DKt85f6N69O9dffz26Fhrj3mKx8OrLLxNQCWM6W8nv8Rkx+ufRPTgLc7dudPr4I4SxQa1y0WH49GbI3YXzood516cPb+2diculw5J5M9LaiQEJwYz3dD7sGu6n+j0oSjNRwbq57P4acnaA3gwGExi8QG8Cg9mzzfNVva3udr3neIOpdpuujbdndbsgL71+kK7uaOgVVH8iluhU7dwURWnzpJTsyS73hOxs9udq/R76xQcxsXcUE3tHkxDaRtri2sph3euwbi4Ol403k4bzbtUROgV04oVRL5AcmlxzqHXvXjb/5R62Bphwmo0M+JMeh9jFsR/vo1v0KLrkWEg3Z/GTfTdjx45l1KhRp/nGTefz/yxg9779THKnUjD8CQRJJL7lxHniBJ3/9xXGmJj6T9j/A+4v78Dplrwd/jBvlmUjwhaCPYILzH/l8pQUNSSeorQgFayby6L7YMtHIH+9DfMZEfoGYbs6rJvrB/DThvVfC/CNvWYj2/RGcNm12dGqJ2I59jPYSrWyBsTWD9LhSWpGQ0XpIA7mW1iyS6vJ3pml/c33ig5gQm9tGL/ukW1gDOjyXPjxedj8b37x9efhqEiKpZP7B9zPTb1uQie065EjJ4cD06ax0VFOYbAXKX/MQ292cnDxwyR16kHn/ApWe+8hw57FTTfdRLdu3Zq12DnZJ5g//y26OsNI7nSI0m4L6bT5chzvLSNu/pv4jx5dc+yhvDKKFj/DgMNvscedwDTHvVjiNuPvdivLAAAXbElEQVTyW0tK0BDeuPhlQn0CmrW8iqKcTAXr5uZyajP/OW1aGHVWL9u0MUar9520zVpn2a6tVz+/3nMavmb1tgbPd3m2NwmhDR8h3dpqWI8GMxomaPsVRenQMosqWeppLrL5WDFSQtdwXyb2jmZC7yhSYgJat8lBQQasmEnJvu94PCqaNLOe4THDeHrEM4R5hwHgslg4fv8D7Nq7kyPJgXSffAS9iGTfoun0TowkvtjCIq/NVBkdTJ02leDg4GYr7usvzKLIYuV3MpWskY/i50wm8MF0Qu+4ndAH/1ozJN669IPcV/oS4/VbWW4aw9bUf7DF/S67ijZyW8pt3DfgPvRt/S6nonRQKlj/lrjdWrg+47Bed3+DsA61Mxv6hrXueSmK0uryyqxayN6dw4ZDRbjckvgQbyakRDGhdzT944NabxzkzF+Qyx7j0+JdvBQagp/Jj2dGvcjwuBEASKeTnKee5sjCr8kYF0bMhMM4S3tw4IcH6dM5iLDSIr7x2kRIRCi333E7xoZtnJvAph/T+DbtR/o7EglK/AVnl2VEvOiL06s7C66fzoqMQoorHaToM3nPezYRrjxKL5pJef8r+XPaX8gsz+TxIY8zqfukJi+boihnTgVrRVEUpUkVVdhZnp7L4l3ZrD1QgMMliQwwc2lKFBN6RzEoMaTlR6KQEvYtJmPlY/zDaOGAycQt8Rdz30WzMOlNSCkpeu89TrzyCkduDMFnaDYle5PI3jaVvglRGCpP8INpO/1S+3H1NVc3aU28tcLCK888jc7gxxUyiZyL/oluuxc+Hxj485gHcISEMzYpglv8NtJv2+MIcwD8/gM2mvQ8sOoBBIJXRr/CwKiBTVYmRVHOjQrWiqIoSrMpszpI25vH4p05rNqfh9XhJsTXxMXJkUzoE8XwrmGYDC0Ysl1OrFve56XNr/Kpt55k4cULI18gsfMYrbyLF5P10EOcmKqDXuUcXdGNitzr6BffhyLHXrYajnD55ZczcGDThFgpJe8+/xxZVjvDHD2xdfkBr4Q1RM0wsOHax+hz7QQujPPDsHImbHhDu0v4u3/zZfZPPL3haRICEnh97OvEB8Q3SXkURTk/KlgriqIoLaLS7mT1/nwW78phxZ48LDYn/mYD45IjGNo1FG+TAZNeh9mow2yo/tLGwTedtHzmkzo1yl7ByhXTeTxnJXbgYf9eXHPJHERANJVbtnLs3rvImVaMI0Ky76tOuKyDuSDhUvayjROGYm77023Ex59bmLU5XWw4VMTy9Fx2b/iJC3TH8DYEMNDdCdvox/BdDV2D7ybigQfAkgef3wpHf4LBd+IaP5NXts3lw/QPGR4znBcvehF/UxvoMKooCqCCtaIoitIKbE4X6w4UsnhXNsvScymudJz1a+h1ol4Qbyx8mw36xpeNOsx6HXrnUdbnzmS3roxLKqzcGHglhcl3YSwpI3jO3yi8LROnzpf0z2JwuyLpH/97tph34DbruP3PdxIc4H9GzUKKKuyk7c1j+Z5cVu/Pp8LuIljY+F3pUuwR0Yyy9cZ94UJ0vj/R6auBdJn3MSJ7C3x2C1SVwFVzsCRdxkNrHmL18dXcmHwjf7vwb/WmblcUpfWpYK0oiqK0KqfLTXapFZvTjc3pwu50e5bdnmUXNocbu8uNzeE6eV/NcoPnO9zYPM+p+5p1j9G4CQ/9Dnv4T0Q5nTycV0VaxVUsqhrCY9lvE3BbJgVZoRxcloDZ5aR77O/Y7n8Qh9uPjxw9MNUEdn1NTbvJoMNs1GPW67C53Ow8XoJbQmSAmXHJkYxPiqB40dvsK3cTJPzpZIrCa+hj+K/xpf9dyzAeWwSLp0NgLFz/MVl+Ifx5xZ85XHqYRwY/wu97/r5V3zNFURqngrWiKIrymySlxO6qDeXb83Yw6+e/k28r5M6SEm52BXGs1/0Ub/+aqkHpiL3d2L0vGUfOQRISLmeXbw4R/t0o7XWBFuIbDfsupITBXUK5ODmS3rHaEITpq1ey9PNFlIYGMrCiPwH95+AIPMIA39cIKv4etv8Hul8C177N1vIj3J92Pw63g5cvepmhMUNb+0enKMopnE2wVvebFEVRlA5DCOGpZdbjD4zzG8jguG95esPTvHH4Oza4dMza9HeSIvqy7UQiRUkHGFNoJrf3tWxf/jUJnUdzjANc5erCgKuGnfH3LSvIZ8W/36MyPok4ZzC+8VnYo44Qebw/QZkvaLP2XjQdLnqIRYe/Y8a6GcT4xTB37Fw6B3Zuvh+Ioigt6px7iQgh4oUQaUKIPUKI3UKI+zzbQ4QQy4QQGZ7HYM92IYSYI4Q4IITYIYQYUOe1pniOzxBCTDn/01IURVEUjZ/Jj1mjZvHsiGfZY/ZicueurHDkkXpwE75FZvIG7ibml0+5ZMr9lGVuJdjpxfcbV3Bs3b4zen3pdrP0zdcwh6XgxEUoXdGbZqOr0tMzexMUH4UbPsU9+iFmb5vLI2sfoX9EfxZctkCFakXpYM5nPCQn8FcpZTIwBLhHCNELmA6skFJ2B1Z41gEmAt09X1OBN0EL4sAMYDAwCJhRHcYVRVEUpalc2fVKPr/ycxKCuvGAv56n+l5M8hELRqeb3EsPYJj9CJPv+DP6vBL0Er5c8jU5v2T86utu++E7ig8VkuPtIMYRTVzRm9h7OOl8tByjfwxMTaOyyygeXPUg7+58l+t6XMf8i+cTaA5sgbNWFKUlnXOwllJmSym3eJbLgT1ALHA18IHnsA+AazzLVwMfSs0GIEgIEQ1cCiyTUhZJKYuBZcCEcy2XoiiKopxKQkACH078kNt638YXZfu4pUtfgnQjkIFuCq7Lo+LBPzF54iiCygMpE1UsXriUQz9sOOXrFZ04ztoFH2GI7YVA0KWiiqoB6Zgq3cRHXAp3LCPHy5cpS6aQlpnGQwMf4vEhj2PUNf1Mj4qitL4mGcFfCJEI9Ad+BiKllNmghW8gwnNYLJBZ52nHPdtOtb2x7zNVCLFJCLEpPz+/KYquKIqi/MYY9UYevOBB3r74bcqcFdxamE6R30RsXaH8uipKHnmQq4IPE+aM46ihgF2r9rDu7Q9xOuoPH+h2uVj8xiskhA7mmKGIGGcUwVlv4ugi6RI0Af3k99lZeogbvruBzPJMXh/7Ojf1uqlJZ3hUFKVtOe9gLYTwA74E7pdSlp3u0Ea2ydNsP3mjlG9LKS+UUl4YHh5+9oVVFEVRFI+hMUP58qovGRIzhCf2ryZDdqZsKLiuMlL2nyVccegdAl0hbDUexXXQzNePPUHRiaya5//yzRfYMy3k+Bswuo30/eF9KiY78TZEEj1sDkuOLOW2pbdh1pv5eOLHjIwb2YpnqyhKSzivYC2EMKKF6gVSyq88m3M9TTzwPOZ5th8H6k5pFQecOM12RVEURWlWIV4hvD72daYPms57J4o4ZPcid4Id8419qdxaxmWb3sXsNrHW6wBd3Rfy5aP/ZPePK8g9fJCfv/yMxNixZOuL6XI0C2OfYuyR0LnHdObveIe/r/47KaEp/Ofy/9AtuFtrn6qiKC3gfEYFEcB7wB4p5St1di0Eqkf2mAJ8U2f7LZ7RQYYApZ6mIkuBS4QQwZ5Oi5d4timKoihKsxNCcGPyjXx8+ScssyZS4HCxf0Q6AQ9NxX3EwcWbv8chnaw1H2J4+LWkzX+Lz2ZOp2/oRew0HsfLoaP3llVU3ByCj28PXt77I29uf5Oru17NO5e8Q4hXSGufoqIoLeR8aqyHAzcDY4UQ2zxflwGzgIuFEBnAxZ51gO+BQ8AB4B3gbgApZRHwFLDR8/WkZ5uiKIqitJieIT354IovyPS9Ererkh/j3sc4azq+WRaG7d5Gob6craYTXJJwExGGeKRfJEU6C303/4zp4dFYZS5fF0l+OLqMBy94kKeGP4VJb2rt01IUpQWpmRcVRVEUpYHlu19E5M5nU6WZ/uJOEp/5lK1du7Gna2eG25Po7o7iM9N6jJZirqko5MhNu8isLOP1Aj9mjXyesQljW/sUFEVpImcz82KTjAqiKIqiKB3J+JS/Ex57Gxf62PjaOo9P/9qffvm5RObmsc64j9WGvVTqbFx4cD+H/xSE21HA6qpQPpr4sQrVivIbpoK1oiiKojSiT49HCA0dx7XBTrY5V/HwjS4Gl+XjXWnhkCGHqOwcTtzUm7KyrznhCmDWpV/TM6RnaxdbUZRWpIK1oiiKojRCCB29U17G16cr90QZ0Pu6mDpuP70sWYTn5WEKK+dn/Rf462HihW8R5h3W2kVWFKWVGVq7AIqiKIrSVhkM/qT2nc/GTdfyQKyZhSFjeVi3jB5lvhwPsvBUsI6w0HGEBQ9q7aIqitIGqBprRVEURTkNH5/O9E55jaqKA9wY5uLJYU9ij4/g6d6j0Es7Xbo82NpFVBSljVDBWlEURVF+RWjoRXTr+jfy8r6jvymPLy77F4ay1URGXom/X1JrF09RlDZCNQVRFEVRlDOQkDCVcsseDh56iYLCNKR00KXzfa1dLEVR2hAVrBVFURTlDAghSE56jsqKQ5SWbiIm5g/4+CS2drEURWlDVFMQRVEURTlDer03ffvOJzbmBrp0vr+1i6MoShujaqwVRVEU5Sx4ecWQlPR0axdDUZQ2SNVYK4qiKIqiKEoTUMFaURRFURRFUZqACtaKoiiKoiiK0gRUsFYURVEURVGUJqCCtaIoiqIoiqI0ARWsFUVRFEVRFKUJqGCtKIqiKIqiKE1ABWtFURRFURRFaQIqWCuKoiiKoihKE1DBWlEURVEURVGagArWiqIoiqIoitIEVLBWFEVRFEVRlCaggrWiKIqiKIqiNAEhpWztMpwTIUQ+cLQVvnUYUNAK37cldORzg459furc2q+OfH4d+dygY5+fOrf2qyOfX2udWycpZfiZHNhug3VrEUJsklJe2NrlaA4d+dygY5+fOrf2qyOfX0c+N+jY56fOrf3qyOfXHs5NNQVRFEVRFEVRlCaggrWiKIqiKIqiNAEVrM/e261dgGbUkc8NOvb5qXNrvzry+XXkc4OOfX7q3Nqvjnx+bf7cVBtrRVEURVEURWkCqsZaURRFURRFUZqACtanIISwtHYZmpoQwiWE2FbnK/E0x44WQnzbcqU7P0IIKYT4qM66QQiR357O4UwIISZ5zjWptcvSFH4r7xt0zGtKQ792jkKIVUKINt2jv66O9vdWlxDiUSHEbiHEDs//g8GtXaamJISIE0J8I4TIEEIcFELMFkKYTnP8/UIIn5Ys47nw/D6+XGf9b0KIJ1qxSE2mTkbZLYTYLoR4UAjR7nJquyuwcl6qpJT96nwdae0CNaEKoLcQwtuzfjGQdTYvIIQwNHmpmt4NwFrgD2fzJCGEvnmKc97O+31TlGZ0Tn9vbZ0QYihwBTBAStkXGA9ktm6pmo4QQgBfAV9LKbsDPQA/4JnTPO1+oM0Ha8AGXCuECGvtgjSD6oySgva/4DJgRiuX6aypYH0aQgg/IcQKIcQWIcROIcTVnu2JQog9Qoh3PJ+sfqgTDNoVIYReCPGiEGKjp+ZiWp3dAUKI/wkh0oUQ89vBJ8fFwOWe5RuAT6p3CCEGCSHWCSG2eh57erbfKoT4XAixCPih5Yt85oQQfsBw4HY8/+g9dxZWN/Y+CSEsQognhRA/A0Nbr+S/6lzetzVCiH51jvtJCNG3RUt9DhreCRJCvC6EuNWzfEQIMbPO9aZd1pKe7hzbk9P8vZ3q/btMCLFXCLFWCDGnjd91iQYKpJQ2ACllgZTyhBDiAiHEj0KIzUKIpUKIaKi50/Ca529wlxBiUKuW/teNBaxSyvcBpJQu4AHgT0IIXyHES56/sR1CiL8IIe4FYoA0IURaK5b7TDjROvA90HCHEKKTJ7Ps8DwmCCECPdeW6v8LPkKITCGEsaULfjaklHnAVODPQnPKrCKE+Ifn/dwuhJjVeqXWtPWg1NqswCQp5QBgDPCy55MwQHfgDc8nqxJgciuV8Wx4i9pmIP/zbLsdKJVSDgQGAv8nhOjs2TcI+CvQB+gKXNviJT47/wX+IITwAvoCP9fZtxcYJaXsDzwOPFtn31BgipRybIuV9NxcAyyRUu4HioQQAzzbT/U++QK7pJSDpZRrW7y0Z+5c3rd3gVsBhBA9ALOUckeLlbj5FHiuN28Cf2vtwvzGnerv7SSe3923gIlSyhHAGc3Q1op+AOKFEPuFEPOEEBd5gtZc4Dop5QXAv6hfw+srpRwG3O3Z15alAJvrbpBSlgHHgDuAzkB/T239AinlHOAEMEZKOaalC3sO3gBuFEIENtj+OvBh9XkBc6SUpcB24CLPMVcCS6WUjhYr7TmSUh5Cy6kRnCKrCCEmov2tDpZSpgIvtFqBPVSwPj0BPCuE2AEsB2KBSM++w1LKbZ7lzUBiyxfvrNVtCjLJs+0S4BYhxDa0QBOK9qEB4Bcp5SHPp/1PgBEtX+Qz5wlWiWi1nt832B0IfC6E2AW8inbhrbZMSlnUIoU8PzeghVA8jzd4lk/1PrmAL1u2iGfvHN+3z4ErPGHgT8C/W6Swze8rz2N7uaZ0ZKf6e2tMEnBISnnYs/7JaY5tdVJKC3ABWo1gPvApMA3oDSzz/D/4JxBX52mfeJ67Gu1uZlCLFvrsCKCxIc8EMAqYL6V0ArSTa389ng8JHwL3Ntg1FPiPZ/kjav8XfApc71n+g2e9vaiuzDxVVhkPvC+lrIS28X62hzalrelGtJqHC6SUDiHEEcDLs89W5zgX0C6bgqD90v5FSrm03kYhRnPyhak9jM24EHgJGI32h1ftKSBNSjlJaJ02V9XZV9FCZTtnQohQtNubvYUQEtCjvR/fc+r3yeoJ2+3BWb1vUspKIcQy4Grg90B76RDnpH6FhleD/dXXFRft9/r8a+fY5p3m720hjZ+boJ3xXBtWAauEEDuBe4DdUspTNRtrT/8PdtPgLrIQIgCIBw7Rtst+pl4DtgDvn+aY6vNcCDwnhAhB+0C1spnL1iSEEF3QroV5nDqrTKCNvZ+qxvr0AoE8T6geA3Rq7QI1g6XAXdXtrYQQPYQQvp59gzy3WnRon3bbcnOCav8CnpRS7mywPZDaTnG3tmiJmsZ1aLf4OkkpE6WU8cBhtBqJ9vg+NXQu79u7wBxgY1uopThDR4FeQgiz5zbuuNYuUDPoCOd4qr83aPzc9gJdRO1IS9fThgkhegohutfZ1A/YA4QLrWMjQgijEKLunb3rPdtHoN2SL22xAp+9FYCPEOIWqOm8/TLana0fgDuFp7O6J2wClAP+LV/Uc+O55n2G1kSi2jpqO9reiOd/gecOxS/AbODb9lDhIoQIB+YDr0ttwpVTZZUf0NrO+3i2h5zqNVtKe60RaVaePzgbWhulRUKITcA2tItnR/Mu2i3nLZ724/lo7ZUA1gOz0Nrurgb+19gLtCVSyuNoF4+GXgA+EEI8SDv5tN7ADWjvRV1fAnfRDt+nhs7lfZNSbhZClHH6Gps2ofqaIqXMFEJ8BuwAMoCtrVuyptPBzvFUf29/RAsz9c5NSlklhLgbWCKEKEALMW2ZHzDX05zDCRxAaxbyNjDH86HBgFYrutvznGIhxDogAK35VZslpZRCiEnAPCHEY2iViN8Dj6DVgPYAdgghHMA7aG2T3wYWCyGy20k7a9A+LPy5zvq9wL+EEH9H+19+W519n6I1oRvdYqU7e96eph5GtN/Lj4BXPPsazSpSyiVC68i+SQhhp/Z9bjVq5sVGCCFSgXeklG2957PyG+dpsvM3KeUVrV2WliaEiEG7lZ0kpXS3cnFO67dwTfktnOPpCCH8pJQWzz/9N4AMKeWrrV2upiCEWIV2ndnU2mVRlLZONQVpQAhxJ1onjX+2dlkURWmc5xbvz8Cj7SBUd/hrym/hHM/A/3lq23ajNWF6q5XLoyhKK1A11oqiKIqiKIrSBFSNtaIoiqIoiqI0ARWsFUVRFEVRFKUJqGCtKIqiKIqiKE1ABWtFURRFURRFaQIqWCuKoiiKoihKE1DBWlEURVEURVGawP8Dj/KL0tTagLMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "plt.plot(monthly_sales_data)\n",
    "plt.legend(data['Year'])\n",
    "plt.title('Monthlywise Sales Plot Across Years')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Boxplot of month-wise sales across years"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "monthly_sales_data.T.boxplot(grid=False, figsize=(10,6))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### There is a clear seasonality in the data with peak sales noticed in December/November and lowest sales in the August"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Creating an yearly sales data to look at yearly trend"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>Month</th>\n",
       "      <th>Jan</th>\n",
       "      <th>Feb</th>\n",
       "      <th>Mar</th>\n",
       "      <th>Apr</th>\n",
       "      <th>May</th>\n",
       "      <th>Jun</th>\n",
       "      <th>Jul</th>\n",
       "      <th>Aug</th>\n",
       "      <th>Sep</th>\n",
       "      <th>Oct</th>\n",
       "      <th>Nov</th>\n",
       "      <th>Dec</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1964</th>\n",
       "      <td>2815.0</td>\n",
       "      <td>2672.0</td>\n",
       "      <td>2755.0</td>\n",
       "      <td>2721.0</td>\n",
       "      <td>2946.0</td>\n",
       "      <td>3036.0</td>\n",
       "      <td>2282.0</td>\n",
       "      <td>2212.0</td>\n",
       "      <td>2922.0</td>\n",
       "      <td>4301.0</td>\n",
       "      <td>5764.0</td>\n",
       "      <td>7312.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1965</th>\n",
       "      <td>2541.0</td>\n",
       "      <td>2475.0</td>\n",
       "      <td>3031.0</td>\n",
       "      <td>3266.0</td>\n",
       "      <td>3776.0</td>\n",
       "      <td>3230.0</td>\n",
       "      <td>3028.0</td>\n",
       "      <td>1759.0</td>\n",
       "      <td>3595.0</td>\n",
       "      <td>4474.0</td>\n",
       "      <td>6838.0</td>\n",
       "      <td>8357.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1966</th>\n",
       "      <td>3113.0</td>\n",
       "      <td>3006.0</td>\n",
       "      <td>4047.0</td>\n",
       "      <td>3523.0</td>\n",
       "      <td>3937.0</td>\n",
       "      <td>3986.0</td>\n",
       "      <td>3260.0</td>\n",
       "      <td>1573.0</td>\n",
       "      <td>3528.0</td>\n",
       "      <td>5211.0</td>\n",
       "      <td>7614.0</td>\n",
       "      <td>9254.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1967</th>\n",
       "      <td>5375.0</td>\n",
       "      <td>3088.0</td>\n",
       "      <td>3718.0</td>\n",
       "      <td>4514.0</td>\n",
       "      <td>4520.0</td>\n",
       "      <td>4539.0</td>\n",
       "      <td>3663.0</td>\n",
       "      <td>1643.0</td>\n",
       "      <td>4739.0</td>\n",
       "      <td>5428.0</td>\n",
       "      <td>8314.0</td>\n",
       "      <td>10651.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1968</th>\n",
       "      <td>3633.0</td>\n",
       "      <td>4292.0</td>\n",
       "      <td>4154.0</td>\n",
       "      <td>4121.0</td>\n",
       "      <td>4647.0</td>\n",
       "      <td>4753.0</td>\n",
       "      <td>3965.0</td>\n",
       "      <td>1723.0</td>\n",
       "      <td>5048.0</td>\n",
       "      <td>6922.0</td>\n",
       "      <td>9858.0</td>\n",
       "      <td>11331.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1969</th>\n",
       "      <td>4016.0</td>\n",
       "      <td>3957.0</td>\n",
       "      <td>4510.0</td>\n",
       "      <td>4276.0</td>\n",
       "      <td>4968.0</td>\n",
       "      <td>4677.0</td>\n",
       "      <td>3523.0</td>\n",
       "      <td>1821.0</td>\n",
       "      <td>5222.0</td>\n",
       "      <td>6872.0</td>\n",
       "      <td>10803.0</td>\n",
       "      <td>13916.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1970</th>\n",
       "      <td>2639.0</td>\n",
       "      <td>2899.0</td>\n",
       "      <td>3370.0</td>\n",
       "      <td>3740.0</td>\n",
       "      <td>2927.0</td>\n",
       "      <td>3986.0</td>\n",
       "      <td>4217.0</td>\n",
       "      <td>1738.0</td>\n",
       "      <td>5221.0</td>\n",
       "      <td>6424.0</td>\n",
       "      <td>9842.0</td>\n",
       "      <td>13076.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1971</th>\n",
       "      <td>3934.0</td>\n",
       "      <td>3162.0</td>\n",
       "      <td>4286.0</td>\n",
       "      <td>4676.0</td>\n",
       "      <td>5010.0</td>\n",
       "      <td>4874.0</td>\n",
       "      <td>4633.0</td>\n",
       "      <td>1659.0</td>\n",
       "      <td>5951.0</td>\n",
       "      <td>6981.0</td>\n",
       "      <td>9851.0</td>\n",
       "      <td>12670.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1972</th>\n",
       "      <td>4348.0</td>\n",
       "      <td>3564.0</td>\n",
       "      <td>4577.0</td>\n",
       "      <td>4788.0</td>\n",
       "      <td>4618.0</td>\n",
       "      <td>5312.0</td>\n",
       "      <td>4298.0</td>\n",
       "      <td>1413.0</td>\n",
       "      <td>5877.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Month     Jan     Feb     Mar     Apr     May     Jun     Jul     Aug     Sep  \\\n",
       "Year                                                                            \n",
       "1964   2815.0  2672.0  2755.0  2721.0  2946.0  3036.0  2282.0  2212.0  2922.0   \n",
       "1965   2541.0  2475.0  3031.0  3266.0  3776.0  3230.0  3028.0  1759.0  3595.0   \n",
       "1966   3113.0  3006.0  4047.0  3523.0  3937.0  3986.0  3260.0  1573.0  3528.0   \n",
       "1967   5375.0  3088.0  3718.0  4514.0  4520.0  4539.0  3663.0  1643.0  4739.0   \n",
       "1968   3633.0  4292.0  4154.0  4121.0  4647.0  4753.0  3965.0  1723.0  5048.0   \n",
       "1969   4016.0  3957.0  4510.0  4276.0  4968.0  4677.0  3523.0  1821.0  5222.0   \n",
       "1970   2639.0  2899.0  3370.0  3740.0  2927.0  3986.0  4217.0  1738.0  5221.0   \n",
       "1971   3934.0  3162.0  4286.0  4676.0  5010.0  4874.0  4633.0  1659.0  5951.0   \n",
       "1972   4348.0  3564.0  4577.0  4788.0  4618.0  5312.0  4298.0  1413.0  5877.0   \n",
       "\n",
       "Month     Oct      Nov      Dec  \n",
       "Year                             \n",
       "1964   4301.0   5764.0   7312.0  \n",
       "1965   4474.0   6838.0   8357.0  \n",
       "1966   5211.0   7614.0   9254.0  \n",
       "1967   5428.0   8314.0  10651.0  \n",
       "1968   6922.0   9858.0  11331.0  \n",
       "1969   6872.0  10803.0  13916.0  \n",
       "1970   6424.0   9842.0  13076.0  \n",
       "1971   6981.0   9851.0  12670.0  \n",
       "1972      NaN      NaN      NaN  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yearly_sales_data = pd.pivot_table(data, values = \"Sales\", columns = \"Month\", index = \"Year\")\n",
    "yearly_sales_data = yearly_sales_data[['Jan','Feb','Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']]\n",
    "yearly_sales_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Lineplot of yearly sales\n",
    "plt.figure(figsize=(12,6))\n",
    "plt.plot(yearly_sales_data)\n",
    "plt.legend(data['Month'])\n",
    "plt.title('Yearlywise Sales Plot Across Months')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Boxplot to visualise yearly trend\n",
    "yearly_sales_data.T.boxplot(grid=False, figsize=(10,6))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Inferences\n",
    "\n",
    "1. The Champagne sales have been increasing till the year 1967 after that it started to fall till 1970.\n",
    "2. December and November are the peak months for Champagne sales and the variance and the mean value in Decemeber and November are also much higher than any of the other months.\n",
    "3. We can see a seasonal cycle of 4 months from Sep - Dec with a increasing trend .We can see a seasonal effect with a cycle of 4 months."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Time Series Decomposition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1964-01-01    2815\n",
       "1964-02-01    2672\n",
       "1964-03-01    2755\n",
       "1964-04-01    2721\n",
       "1964-05-01    2946\n",
       "Freq: MS, Name: Sales, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales_ts = pd.Series(data['Sales'],index=dates)\n",
    "sales_ts[0:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Multiplicative decomposition of the serie\n",
    "decomposition = sm.tsa.seasonal_decompose(sales_ts, model='multiplicative')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = decomposition.plot()\n",
    "fig.set_figwidth(8)\n",
    "fig.set_figheight(6)\n",
    "fig.suptitle('Decomposition of multiplicative time series')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Inference:\n",
    "\n",
    "1) Trend: 12-months moving average looks non-linear there is increasing and some decreasing values in the pattern.\n",
    "\n",
    "2) Seasonality: Seasonal plot displays a fairly consistent month-on-month pattern. The monthly seasonal components are average values for a month after removal of trend. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Differencing once to remove trend\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(sales_ts.diff(periods=1))\n",
    "plt.xlabel('Years')\n",
    "plt.ylabel('Champagne Sales')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Although the trend is removed after differencing, there is unequal variance which implies that the series is not stationary."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}