1_ts_data_visualization_with_pandas.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from datetime import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "data=np.random.randn(3,2)\n",
    "cols=[\"A\",\"B\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        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>A</th>\n",
       "      <th>B</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-01</th>\n",
       "      <td>0.340755</td>\n",
       "      <td>-1.978452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-02</th>\n",
       "      <td>0.903260</td>\n",
       "      <td>-1.108183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-03</th>\n",
       "      <td>0.701150</td>\n",
       "      <td>-0.732930</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   A         B\n",
       "2020-01-01  0.340755 -1.978452\n",
       "2020-01-02  0.903260 -1.108183\n",
       "2020-01-03  0.701150 -0.732930"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idx=pd.date_range(\"2020-01-01\",periods=3,freq=\"D\")\n",
    "df= pd.DataFrame(data,index=idx, columns=cols)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2020-01-01', '2020-01-02', '2020-01-03'], dtype='datetime64[ns]', freq='D')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('2020-01-03 00:00:00', freq='D')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.index.max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.index.argmax()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('2020-01-01 00:00:00', freq='D')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.index.min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.index.argmin()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "my_year = 2017\n",
    "my_month = 1\n",
    "my_day = 2\n",
    "my_hour = 13\n",
    "my_minute = 30\n",
    "my_second = 15"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime.datetime(2017, 1, 2, 0, 0)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_date=datetime(my_year,my_month,my_day)\n",
    "my_date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime.datetime(2017, 1, 2, 13, 30, 15)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_date_time=datetime(my_year,my_month,my_day,my_hour,my_minute,my_second)\n",
    "my_date_time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_date.day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['2016-03-25', '2017-05-24', '2018-08-09'], dtype='datetime64[D]')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.array([\"2016-03-25\",\"2017-05-24\",\"2018-08-09\" ], dtype=\"datetime64\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['2018-06-01', '2018-06-11', '2018-06-21'], dtype='datetime64[D]')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.arange(\"2018-06-01\",\"2018-06-23\",10,dtype=\"datetime64[D]\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['1968', '1969', '1970', '1971', '1972', '1973', '1974', '1975',\n",
       "       '1976', '1977', '1978', '1979', '1980', '1981', '1982', '1983',\n",
       "       '1984', '1985', '1986', '1987', '1988', '1989', '1990', '1991',\n",
       "       '1992', '1993', '1994', '1995', '1996', '1997', '1998', '1999'],\n",
       "      dtype='datetime64[Y]')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.arange(\"1968\",\"2000\",dtype=\"datetime64[Y]\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pandas Datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2019-08-08', '2019-08-09', '2019-08-10', '2019-08-11',\n",
       "               '2019-08-12', '2019-08-13', '2019-08-14', '2019-08-15'],\n",
       "              dtype='datetime64[ns]', freq='D')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idx=pd.date_range(\"8/8/2019\",periods=8,freq=\"D\")\n",
    "idx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2019-01-01', '2019-01-02', '2020-01-05', '2021-01-01'], dtype='datetime64[ns]', freq=None)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idx=pd.to_datetime([\"Jan 01 2019\", \"1/2/19\",\"05-Jan-2020\",\"01/01/2021\"])\n",
    "idx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[-0.57303547  0.22079076 -1.37184608]\n",
      " [-0.27310696  0.16217158  1.08799654]\n",
      " [-0.88400543  0.03591898  2.40249972]\n",
      " [-1.0643819  -0.96612664  0.60510108]]\n"
     ]
    }
   ],
   "source": [
    "# Create some random data\n",
    "data = np.random.randn(4,3)\n",
    "cols = ['A','B',\"C\"]\n",
    "print(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-01-01</th>\n",
       "      <td>-0.573035</td>\n",
       "      <td>0.220791</td>\n",
       "      <td>-1.371846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-02</th>\n",
       "      <td>-0.273107</td>\n",
       "      <td>0.162172</td>\n",
       "      <td>1.087997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-05</th>\n",
       "      <td>-0.884005</td>\n",
       "      <td>0.035919</td>\n",
       "      <td>2.402500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-01-01</th>\n",
       "      <td>-1.064382</td>\n",
       "      <td>-0.966127</td>\n",
       "      <td>0.605101</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   A         B         C\n",
       "2019-01-01 -0.573035  0.220791 -1.371846\n",
       "2019-01-02 -0.273107  0.162172  1.087997\n",
       "2020-01-05 -0.884005  0.035919  2.402500\n",
       "2021-01-01 -1.064382 -0.966127  0.605101"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(data,idx,cols)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2019-01-01', '2019-01-02', '2020-01-05', '2021-01-01'], dtype='datetime64[ns]', freq=None)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.index"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Time Resampling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'c:\\\\Users\\\\Selim\\\\My python Stuff\\\\Time Series Jose Port'"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('./UDEMY_TSA_FINAL/Data/starbucks.csv', index_col='Date', parse_dates=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-01-02</th>\n",
       "      <td>38.0061</td>\n",
       "      <td>6906098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-05</th>\n",
       "      <td>37.2781</td>\n",
       "      <td>11623796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-06</th>\n",
       "      <td>36.9748</td>\n",
       "      <td>7664340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-07</th>\n",
       "      <td>37.8848</td>\n",
       "      <td>9732554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-08</th>\n",
       "      <td>38.4961</td>\n",
       "      <td>13170548</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Close    Volume\n",
       "Date                         \n",
       "2015-01-02  38.0061   6906098\n",
       "2015-01-05  37.2781  11623796\n",
       "2015-01-06  36.9748   7664340\n",
       "2015-01-07  37.8848   9732554\n",
       "2015-01-08  38.4961  13170548"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2015-01-02', '2015-01-05', '2015-01-06', '2015-01-07',\n",
       "               '2015-01-08', '2015-01-09', '2015-01-12', '2015-01-13',\n",
       "               '2015-01-14', '2015-01-15',\n",
       "               ...\n",
       "               '2018-12-17', '2018-12-18', '2018-12-19', '2018-12-20',\n",
       "               '2018-12-21', '2018-12-24', '2018-12-26', '2018-12-27',\n",
       "               '2018-12-28', '2018-12-31'],\n",
       "              dtype='datetime64[ns]', name='Date', length=1006, freq=None)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-03-31</th>\n",
       "      <td>42.033705</td>\n",
       "      <td>1.005831e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-06-30</th>\n",
       "      <td>47.622476</td>\n",
       "      <td>7.375698e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-09-30</th>\n",
       "      <td>52.742539</td>\n",
       "      <td>9.206285e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-31</th>\n",
       "      <td>57.498228</td>\n",
       "      <td>8.002620e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-03-31</th>\n",
       "      <td>55.171702</td>\n",
       "      <td>1.093832e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-30</th>\n",
       "      <td>54.050434</td>\n",
       "      <td>8.582716e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-30</th>\n",
       "      <td>53.350578</td>\n",
       "      <td>8.996589e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30</th>\n",
       "      <td>53.040917</td>\n",
       "      <td>8.753118e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-03-31</th>\n",
       "      <td>54.447013</td>\n",
       "      <td>9.846263e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-06-30</th>\n",
       "      <td>58.427046</td>\n",
       "      <td>8.131475e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-09-29</th>\n",
       "      <td>53.772141</td>\n",
       "      <td>1.017913e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-29</th>\n",
       "      <td>55.167005</td>\n",
       "      <td>9.036181e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-30</th>\n",
       "      <td>56.678044</td>\n",
       "      <td>1.093577e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-29</th>\n",
       "      <td>55.935744</td>\n",
       "      <td>1.043205e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-28</th>\n",
       "      <td>52.446013</td>\n",
       "      <td>9.849787e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-31</th>\n",
       "      <td>62.428954</td>\n",
       "      <td>1.370105e+07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Close        Volume\n",
       "Date                               \n",
       "2015-03-31  42.033705  1.005831e+07\n",
       "2015-06-30  47.622476  7.375698e+06\n",
       "2015-09-30  52.742539  9.206285e+06\n",
       "2015-12-31  57.498228  8.002620e+06\n",
       "2016-03-31  55.171702  1.093832e+07\n",
       "2016-06-30  54.050434  8.582716e+06\n",
       "2016-09-30  53.350578  8.996589e+06\n",
       "2016-12-30  53.040917  8.753118e+06\n",
       "2017-03-31  54.447013  9.846263e+06\n",
       "2017-06-30  58.427046  8.131475e+06\n",
       "2017-09-29  53.772141  1.017913e+07\n",
       "2017-12-29  55.167005  9.036181e+06\n",
       "2018-03-30  56.678044  1.093577e+07\n",
       "2018-06-29  55.935744  1.043205e+07\n",
       "2018-09-28  52.446013  9.849787e+06\n",
       "2018-12-31  62.428954  1.370105e+07"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.resample(rule=\"BQ\").mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-12-31</th>\n",
       "      <td>50.078100</td>\n",
       "      <td>8.649190e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-31</th>\n",
       "      <td>53.891732</td>\n",
       "      <td>9.300633e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-31</th>\n",
       "      <td>55.457310</td>\n",
       "      <td>9.296078e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-31</th>\n",
       "      <td>56.870005</td>\n",
       "      <td>1.122883e+07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Close        Volume\n",
       "Date                               \n",
       "2015-12-31  50.078100  8.649190e+06\n",
       "2016-12-31  53.891732  9.300633e+06\n",
       "2017-12-31  55.457310  9.296078e+06\n",
       "2018-12-31  56.870005  1.122883e+07"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.resample(rule=\"A\").mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "def first_day(entry):\n",
    "    if len(entry):\n",
    "        return entry[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "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>Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-12-31</th>\n",
       "      <td>38.0061</td>\n",
       "      <td>6906098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-31</th>\n",
       "      <td>55.0780</td>\n",
       "      <td>13521544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-31</th>\n",
       "      <td>53.1100</td>\n",
       "      <td>7809307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-31</th>\n",
       "      <td>56.3243</td>\n",
       "      <td>7215978</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Close    Volume\n",
       "Date                         \n",
       "2015-12-31  38.0061   6906098\n",
       "2016-12-31  55.0780  13521544\n",
       "2017-12-31  53.1100   7809307\n",
       "2018-12-31  56.3243   7215978"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.resample(rule=\"A\").apply(first_day)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<pandas.core.resample.DatetimeIndexResampler object at 0x000001D7E4807A48>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.resample(rule=\"BQ\")#.apply(first_day)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[\"Close\"].resample(\"BQ\").mean().plot.bar(title='Business quarterly Mean Closing Price for Starbucks',colormap='Dark2');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\Selim\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\pandas\\plotting\\_matplotlib\\core.py:245: UserWarning: 'color' and 'colormap' cannot be used simultaneously. Using 'color'\n",
      "  \"'color' and 'colormap' cannot be used simultaneously. Using 'color'\"\n",
      "c:\\Users\\Selim\\AppData\\Local\\Programs\\Python\\Python37\\lib\\site-packages\\pandas\\plotting\\_matplotlib\\style.py:124: UserWarning: 'color' and 'colormap' cannot be used simultaneously. Using 'color'\n",
      "  \"'color' and 'colormap' cannot be used simultaneously. Using 'color'\"\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import cm\n",
    "\n",
    "color = cm.inferno_r(np.linspace(.4, .8, 10))\n",
    "\n",
    "df[\"Close\"].resample(\"BQ\").mean().plot(kind=\"bar\", color=color, stacked=True, title='Business quarterly Mean Closing Price for Starbucks',colormap='Dark2');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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apEkTyzkmrY2qWT1t2tqY1tNO1eNEjmlrY9qegP2ae3NM62mTrjumXQtMWhtVs3ratLUxrafZr1ln/0ecNKDq6mqJjIys9XhkZKRUV1dbzjl06JC0bNmy1uPJycly5MiRkMn55ptvpFOnTrUe79Spk+zfv99yjhP1mLY2pvW0U/U4keNULVFRUVJaWlrr8UOHDklUVJTlHJPWRsSsnjZtbUzraafqcSLHtLUxbU/Afs29Oab1tEnXHdOuBSatjYhZPW3a2pjW0+zXbGD7uLEBDR06VLt06VLjFHXTpk2akZGhw4YNs5zTv39/7dOnj+7bt++kY/v27dO+ffvqgAEDQibnkksu0eHDh2tFRcVJxyorK3X48OHau3dvyzlO1GPa2pjW007V40SOU7XceeedmpqaqgsWLNCSkpLA/SUlJbpgwQJNS0vTu+66y3KOSWujalZPm7Y2pvW0U/U4kWPa2pi2J2C/5t4c03rapOuOadcCk9ZG1ayeNm1tTOtp9mvWhdRw8MCBA9q3b1/1+XzarFkzbd++vbZv316bNWumfr9f+/Xrp999953lnMLCQu3YsaOGh4drly5dtG/fvtq3b1/t0qWLhoeHa+fOnbWwsDBkcj755BNNSkrS5s2b6zXXXKOjRo3SUaNG6TXXXKPNmzfX5ORk3bJlS0jUY9ramNbTTtXjRI5TtRw9elRHjRqlkZGR6vf7NTo6WqOjo9Xv92tkZKSOHj1ajx49ajnHpLVRNaunTVsb03raqXqcyDFtbUzbE7Bfc2+OaT1t0nXHtGuBSWujalZPm7Y2pvU0+zXrfKqq9r8esWHl5+ef9JHOmZmZ0r59e9syqqurZcmSJbJu3bqTcvr06SN+vz1/ke1UzqFDh+T111+vMWfo0KESGxtrS44T9Zi2NiJm9bSIM/U4leNULaWlpZKbmxuUk5GRYdv/N48zaW1M62mT1kbEvJ52qh4nckxaG9P2BOzX3JsjYlZPi5h13THtWmDS2pjW0yatjYh5Pc1+rf5CcjgIAAAAAAAAwLqQ+kASADBZYWGh7N27N+i+vXv3SmFh4Wk6I8Aa03raqXqcyDFtbQDAKTx/wjSm9TT7tfoJ2eGg3++X8847L+i+9PR0CQsLszWndevWctVVVwXdl5WVJW3atAnJnMsvv1xuu+22oPtGjBghV1xxha05TtRj2tqY1tNO1eNEjlO1pKWlyZVXXhl03xVXXCGtW7e2NcektRExq6dNWxvTetqpepzIMW1tTNsTsF9zb45pPW3Sdce0a4FJayNiVk+btjam9TT7tfoJt/0RHfLKK69IfHx80H1TpkyRkpISW3NGjBghLVq0CLrvmmuukf3794dkTlpamiQnJwfdd9ZZZ9n6Xg8iztRj2tqY1tNO1eNEjlO1rFixQmJiYoLumzNnjpSVldmaY9LaiJjV06atjWk97VQ9TuSYtjam7QnYr7k3x7SeNum6Y9q1wKS1ETGrp01bG9N6mv1a/fCegwAAAAAAAIBHhewrB0VEysvLRUQkKirqNJ8JYA/TetqpepzIcSKjpKQk6NOo4uLiGizLpLVxkim95lSOaT3tVD1O5Ji2NoCTTOtpk647Jl0LRMxaGyeZ0mtO5ZjW0+zX6klDzNKlS7Vfv34aHx+vfr9f/X6/xsfHa79+/XTZsmW25WzdulVHjx6tF1xwgSYlJWlSUpJecMEFOnr0aN26dWvI5ezbt08fe+wxHTx4sPbo0UN79OihgwcP1scff1y/+eYb23KcqMe0tTGtp52qx4kcp2qZNWuWpqenBzKO39LT0/Wll16yLcektVE1q6dNWxvTetqpepzIMW1tTNsTsF9zb45pPW3Sdce0a4FJa6NqVk+btjam9TT7NWtC6s+KX3vtNbn99tvluuuuk+zsbElMTBQRkeLiYlm6dKn8+9//lpdfflluvfVWSzmLFy+WwYMHS9euXU/KWbZsmeTm5spbb70l2dnZIZGzceNGyc7OlpiYGMnKygrKWb58uZSVlcmSJUvkwgsvdH09pq2NaT3tVD1O5DhVyxNPPCGPPPKI/O53v6sxZ9q0afLII4/I+PHjLeWYtDYiZvW0aWtjWk87VY8TOaatjWl7AvZr7s0xradNuu6Ydi0waW1EzOpp09bGtJ5mv2aDBhk5NpC2bdvqc889V+vx6dOn6znnnGM5p3Pnzvrggw/Wevzhhx/WTp06hUxO9+7d9Y477tDq6uqTjlVXV+sdd9yhPXr0sJzjRD2mrY1pPe1UPU7kOFVLSkqKzp8/v9bj8+bN01atWlnOMWltVM3qadPWxrSedqoeJ3JMWxvT9gTs19ybY1pPm3TdMe1aYNLaqJrV06atjWk9zX7NupAaDkZFRWl+fn6tx/Pz8zU6OtpyTnR0tHE527Ztq/X4tm3bQqYe09bGtJ52qh4ncpxcm7y8vFqPb926VRs1amQ5x6S1UTWrp01cG5N62ql6nMgxcW1My2G/5s4c03rapOuOadcCk9ZG1ayeNnFtTOpp9mvW+e19HWLDOu+88+Tll1+u9fgrr7wiHTp0sJyTlpYmixYtqvX4okWLJDU1NWRykpKSZMOGDbUe37BhQ+ClqlY4UY9pa2NaTztVjxM5TtVy0UUXydSpU6WysvKkY1VVVfLYY4/JRRddZDnHpLURMaunTVsb03raqXqcyDFtbUzbE7Bfc2+OaT1t0nXHtGuBSWsjYlZPm7Y2pvU0+zXrQurTip966ikZOHCg5OTk1PheLDt37jzlk8/PNXnyZBk6dKisXLmyxpycnByZO3duyOSMHz9e7rjjDsnNzZUrr7zypJxZs2bJk08+aTnHiXpMWxvTetqpepzIcaqW5557TrKzsyUpKUl69+4dlLNq1SqJjIyUpUuXWs4xaW1EzOpp09bGtJ52qh4nckxbG9P2BOzX3JtjWk+bdN0x7Vpg0tqImNXTpq2NaT3Nfs26kPpAEhGRXbt2yYwZM2TdunVBH+mcmZkpo0aNkrS0NFtyPvzwQ5k2bZqsXbv2pJx77rlHMjMzQypn/vz58swzz0hubq5UVVWJiEhYWJhkZGTIuHHj5IYbbrAlx4l6TFsb03raqXqcyHGqlkOHDsnrr79eY87QoUMlNjbWlhyT1kbErJ42bW1M62mn6nEix7S1MW1PwH7NvTmm9bRJ1x3TrgUmrY2IWT1t2tqY1tPs16wJueEgrKmoqJD9+/eLiMiZZ54pERERp/mMAAAA8GPs1wAAgJNCcjhYWVkpW7duDUxQk5OTJT09vUE2TiUlJUGT2ri4ONsznMwRESkvLxcRkaioqAbLcKIek9bGtJ52qh4ncpyqpaioSNavXx+U061bN0lKSrI1x6S1Oc6UnjZtbUzraafqcSLHtLURMWtPcBz7NfflmNbTJl13TLsWmLQ2x5nS06atjWk9zX7NAts/4qQBVVVV6f3336/x8fHq8/mCbvHx8frAAw9oVVWVLVmzZs3S9PR09fv96vf71efzqd/v1/T0dH3ppZdsyXAyZ+nSpdqvXz+Nj48PZMXHx2u/fv102bJltuU4UY9Ja2NaTztVjxM5TtVy+PBhHTZsmIaFhWl4eLgmJCRoQkKChoeHa1hYmN5yyy165MgRyzkmrc1xpvS0aWtjWk87VY8TOaatjapZewJV9mtuzTGtp0267ph2LTBpbY4zpadNWxvTepr9mnUhNRycMGGCtmjRQmfOnKkFBQVaVlamZWVlWlBQoC+88IImJCToxIkTLec8/vjjGhMTo/fdd5+uWLFC8/LyNC8vT1esWKGTJk3Sxo0b6xNPPBEyOa+++qqGh4frTTfdpLNnz9Z33nlH33nnHZ09e7befPPNGhERoXPmzAmJekxbG9N62ql6nMhxqpaRI0dq27ZtNScnRysrKwP3V1ZW6pIlS7Rdu3Z6++23W84xaW1Uzepp09bGtJ52qh4nckxbG9P2BOzX3JtjWk+bdN0x7Vpg0tqomtXTpq2NaT3Nfs26kBoOJiYmak5OTq3Hc3JyNCEhwXJOSkqKzp8/v9bj8+bN01atWoVMTtu2bfW5556r9fj06dP1nHPOsZzjRD2mrY1pPe1UPU7kOFVLfHy8rlmzptbjq1ev1vj4eMs5Jq2Nqlk9bdramNbTTtXjRI5pa2PanoD9mntzTOtpk647pl0LTFobVbN62rS1Ma2n2a9Z52+YP1ZuGIcOHZKWLVvWejw5OVmOHDliOeebb76RTp061Xq8U6dOgTeJDoWcwsJCycrKqvX4lVdeKV999ZXlHCfqMW1tTOtpp+pxIsepWqqrqyUyMrLW45GRkVJdXW05x6S1ETGrp01bG9N62ql6nMgxbW1M2xOwX3Nvjmk9bdJ1x7RrgUlrI2JWT5u2Nqb1NPs1G9g+bmxA/fv31z59+ui+fftOOrZv3z7t27evDhgwwHLOJZdcosOHD9eKioqTjlVWVurw4cO1d+/eIZPTtWtXnTBhQq3HJ06cqF27drWc40Q9pq2NaT3tVD1O5DhVy9ChQ7VLly66adOmk45t2rRJMzIydNiwYZZzTFobVbN62rS1Ma2nnarHiRzT1sa0PQH7NffmmNbTJl13TLsWmLQ2qmb1tGlrY1pPs1+zLqQ+rXj37t3Sv39/yc/Pl06dOkliYqKIiBQXF8uWLVukQ4cOsnDhQmnVqpWlnM2bN0t2drZUVFRI7969g3JWrVolkZGRsnTpUunYsWNI5KxcuVIGDhwobdq0kaysrKCc5cuXy86dO2XRokXSu3dv19dj2tqY1tNO1eNEjlO1fPfddzJ06FBZsmSJnHHGGZKQkCAiP/ym9eDBg5KdnS1z586V+Ph4SzkmrY2IWT1t2tqY1tNO1eNEjmlrY9qegP2ae3NM62mTrjumXQtMWhsRs3ratLUxrafZr1kXUsNBkR9eYrlkyRJZt25d0EehZ2ZmSp8+fcTvt+cvpQ8dOiSvv/56jTlDhw6V2NjYkMrZtWuXzJgxo8acUaNGSVpami05TtRj2tqY1tNO1eNEjlO1iIjk5+fL2rVrT8pp3769bRkmrY2IWT1t2tqImNXTIs7U41SOSWtj2p6A/Zp7c0zraZOuO6ZdC0xaGxGzetq0tRExq6dF2K9ZEXLDQQAAAAAAAAD2CKkPJAEAAAAAAABgH4aDAAAAAAAAgEcxHAQAAAAAAAA8iuEgAAAAAAAA4FHhp/sEQo2qis/nO92ngf9PeXm5iIhERUWd5jMJLSb93EpKSoI+wSkuLu40n5H7VVVVyf79+8Xv90uLFi1O9+nYwpSepp/rx6SfW2VlpWzdujWong4dOkhERMRpPrPQwn7NXUx5jnaaST83k56nT4fi4mJRVUlKSjrdp2KJKT1NP9ePST83E/drRr1ycNu2bdKmTRvLj1NeXi7jx4+X3r17y2OPPSYiIn/+85+lSZMm0rRpUxk6dKiUlpZazvkpX3zxhVxxxRW2PFZeXp7ceeed0qVLF0lOTpbk5GTp0qWL3HnnnZKXl2dLxk+xq55ly5ZJ//795YwzzpCYmBiJiYmRM844Q/r37y/vvvuuDWf60+xcm1Oxq6dF3PFzs7Oel156STp06CDNmjWTDh06BP3vl19+2ZaMU7GzllP55JNPJCwszJbHWrRokfTu3VsaN24sLVu2lKSkJImPj5dbb71VCgsLbcn4KfR0zU53P4uEZk+74edmVz3V1dXywAMPSIsWLaRLly7Sr18/6devn3Tp0kUSEhLkwQcflOrqahvOuHZ2rs2psF+rHfs1e7Ffqx/2a3Vn1/PngQMH5LrrrpOUlBQZPXq0VFVVye233y7Jycly1llnSc+ePWXv3r02nPGp0dM1O939LBJ6PS3ijp8b+7WfZtQrB48dOyZffvml5ceZNGmSzJ8/X26++WZ57bXXpLCwUBYuXCgvvPCC+P1+eeihh+SBBx6QadOm2XDWtTt8+LC8//77lh9n8eLFMnjwYOnatasMGjRIEhMTReSH30AtW7ZMunbtKm+99ZZkZ2dbzjoVO+p57bXX5Pbbb5frrrtOnnnmmaBali5dKv3795eXX35Zbr31VjtOuVZ2rc1Psaun3fJzs6ueJ554Qh555BH53e9+J9nZ2SfVc88998h3330n48ePt5xVG7tq+TlU1fJj/P3vf5cxY8bIHXfcIb1795aXX35ZbrvtNklNTZV58+ZJRkaGfPjhh9K2bVsbzrh29PTJ3NDPIqHX0275uYnYU899990nr776qkydOrXGeh588EE5duxYYAjWUOyo5aewX6sZ+zX7sV+rH/Zr9WPH8+eECRNk+/btMnHiRPn3v/8tQ4YMkYKCAvnggw/E7/fLPffcI/fdd5+89tprNpxx7ejpk7mhn0VCr6fd8nMTYb/2U3zqxC7QJuPGjTvl8X379sncuXOlqqrKUk5KSoq88sorkpWVJTt37pS2bdvKggULZNCgQSLyw28/fvOb38iuXbss5fzUZvXrr7+WJ5980nI9559/vgwaNEgmT55c4/FHHnlEFixYIJs3b7aU40Q97dq1k3vuuUfGjBlT4/Hnn39ennnmGdmxY0e9M0ScWxunetqpn5tT9aSmpsoTTzwhN9xwQ43H58+fLxMmTLD0ajinarn22mtPebykpERWrlxpOSc9PV0eeeQRufHGG0VE5KOPPpJrrrlGCgsLxefzyU033STHjh2TBQsWWMqhp+vOiX4WMa+nnfq5OVVPUlKSvPbaa7UOfpYsWSLDhw+X4uLiemc4VQv7tfphv1Z37Nfqh/1a3Tn1/NmyZUv597//LT179pTi4mJJTk6WJUuWyFVXXSUiImvWrJEbb7xRvvrqK0s59HTdsV+rH/ZrdedULScKqeFgWFiYXHDBBRIbG1vj8cOHD8umTZss/5BiYmIkPz9fUlJSREQkMjJS/ve//8l5550nIiK7du2S8847T44cOWIpx+/3S3JyskRGRtZ4/NixY1JUVGS5nkaNGsnHH38s5557bo3Ht2/fLhdccIF8//33lnKcqCc6Olo++eQTI2oRca6nnfq5OVVPo0aNZNOmTZKenl7j8by8PLnwwgulrKys3hlO1RIRESFXXXVV4LdOJzpw4IAsXLjQlue1vLw8SUtLC8r+8ssvpWXLlrJhwwbJzs6W7777zlIOPV13TvSziHk97dTPzal6GjduLOvWrZNOnTrVeHzz5s3Ss2dPOXz4cL0znKqF/Vr9sF+rO/Zr9cN+re6cvBbk5eVJamqqiPzwvLZp0ybp2LGjiIgUFBRIp06dLF0LROjp+mC/Vj/s1+rOqVpOoiGkXbt2+ve//73W4//73//U7/dbzjn33HN13rx5qqq6YcMGjYyM1FdeeSVwfN68edq2bVvLOWlpaTp//vxaj9tVT/v27fWpp56q9fhTTz2l5557ruUcJ+rp2rWrTpgwodbjEydO1K5du1rKUHVubZzqaad+bk7Vc8kll+jw4cO1oqLipGOVlZU6fPhw7d27t6UMp2rp1KmTvvTSSw2ek56erm+88Ubg69zcXI2MjNTKykpVVd2xY4c2btzYcg49XXdO9LOqeT3t1M/NqXr69++vffr00X379p10bN++fdq3b18dMGCApQynamG/Vj/s1+qO/Vr9sF+rO6eeP88//3x97rnnVFX1nXfe0aZNmwY9L8yYMUM7duxoOYeerjv2a/XDfq3unKrlRCH1noMXXnih5Obmyi233FLjcZ/PZ8vfXo8aNUpuu+02eemllyQ3N1eefPJJ+eMf/yj5+fni9/tlxowZ8vvf/95yTkZGhuTm5tb6Elu76pk8ebIMHTpUVq5cKVlZWUF/F798+XLJycmRuXPnWs5xop6nnnpKBg4cKDk5OTXWsnPnTlm0aJGlDBHn1sapnnbq5+ZUPc8995xkZ2dLUlKS9O7dO6ieVatWSWRkpCxdutRShlO1ZGRkyKZNm2TkyJE1Ho+Kigq8KsaKMWPGyO233y4bN26U6Ohoeemll+TWW28NvJnt+vXrpV27dpZz6Om6c6KfRczraad+bk7VM3PmTOnfv78kJydLp06dgurZsmWLdOjQQRYuXGgpw6la2K/VD/u1umO/Vj/s1+rOqefPCRMmyIgRI+TZZ5+V3bt3y+uvvy733HOPrF+/Xvx+vyxYsECefvppyzn0dN2xX6sf9mt151QtJwqpPysuKiqS8vLywMusG9LcuXNl7dq10rNnT7n55ptl5cqV8tBDD0lZWZlcffXV8uCDD4rfb+3DnvPy8qSsrEwuvPDCGo9XVFTInj17bKn3ww8/lGnTpsnatWuDPm47MzNT7rnnHsnMzLSc4VQ9u3btkhkzZsi6detOqmXUqFFBfzZZX07V4mRPO/Fzc7KeQ4cOyeuvv15jPUOHDq31pfg/l1O1lJeXS1VVlcTExDRojojIjBkz5PXXX5fy8nLJzs6WBx98UKKjo0VEZMeOHVJVVSXt27e3lEFP109D97OImT3txM/NyXqqq6tlyZIlNdbTp08fy/sOp2phv1Z/7Nfqhv1a/bBfqzsnrwVr1qyRdevWSWZmpvTs2VPy8vJk6tSpgee1ESNGWM6gp+uH/Vr9sF+rGydr+bGQGg4CAAAAAAAAsI+1kaZLFBcXW/50GzdRVfvfXNLwHKd6wKmfmVP1hHrOiWuxfv16WbVqlVRUVNiedZxJtTgp1HvNiZzT1QOh3tMm5aiqFBQUSGVlpYj88GEK8+fPlzlz5sj+/fttyzGt104Xk/ZRTuWwX/NmDvu10BHqveZEjmnXUJP2UU7lGLtfs/1dDBtQaWmpDhs2TFNSUnT48OFaXl6ud955p/p8PvX7/dq7d28tKSmxJWvRokU6cuRInTBhgm7bti3o2IEDB/Tyyy+3nFFRUaH333+/9u7dWx966CFVVX388cc1JiZGIyMjAzWS8/9zqgec+pk5VY9pOXv27NGLL75Yw8LCtHfv3nrgwAEdMGCA+nw+9fl82q5dO92zZw+1nGD69Ol65ZVX6vXXX6/vvvtu0LF9+/Zp69atLWeY1mtO5DjVA6b1tGk5+fn5mpqaqn6/X8855xzduXOnZmRkaOPGjTUmJkbPPPNM/eyzz0KiFvZr5LBfI0eV/Vp9sV9zZ45p11DT9lHs16wLqVcO/vGPf5Tc3FwZP368FBYWyg033CCrVq2SDz74QFasWCH79++Xxx57zHLO3Llz5Ze//KUUFRXJ2rVrpUuXLvKPf/wjcPzYsWPy/vvvW87505/+JC+99JJceOGF8u9//1tGjx4tf/vb3+TFF1+UWbNmyfLly+XZZ58l50ec6gGnfmZO1WNazh/+8AdRVfnPf/4jycnJMnDgQCktLZXdu3fLrl27pEWLFvKXv/yFWn5k2rRpMmHCBGnfvr1ERUVJ//79ZcqUKYHjVVVV8uWXX1rOMa3XnMhxqgdM62kTc84//3z5+OOPZeDAgTJgwAA5++yz5bvvvpMDBw5IZmamTJ48OSRqYb9GDvs1ckTYr9UH+zX35ph2DTVxH8V+zSLbx40NqFWrVvree++pqurXX3+tPp9P33777cDxhQsX6rnnnms554ILLtC//vWvga/nz5+vjRs3DnycdFFRkS0fHd2mTZvA+e/YsUP9fr/OmzcvKNeOj6o3KcepHnDqZ+ZUPablJCcn69q1a1VV9dtvv1Wfzxf0m9Xly5drmzZtLGWYVIuqaocOHfQf//hH4Os1a9ZoixYt9MEHH1RV+57XTOs1J3Kc6gHTetq0nBYtWuj//vc/VVU9fPiw+nw+/eCDDwLH16xZoykpKZYyTOs19mvuzWG/Ro4q+7X6YL/m3hzTrqGm7aPYr1kXUsPBqKgoLSwsDHwdExOj27dvD3y9a9cujYmJsZzTuHFj3blzZ9B97733njZp0kRnzJhh25NydHR0UD3R0dFBfxKzc+dObdq0KTk/4lQPOPUzc6oe03JOXJ/GjRvrjh07Al9/+eWX2qhRI0sZJtWiqtqoUSMtKCgIum/Lli2amJio9913n23Pa6b1mhM5TvWAaT1tWk6jRo30yy+/DHzdpEkT/fzzzwNfFxYWalRUlKUM03qN/Zp7c9ivkaPKfq0+2K+5N8e0a6hp+yj2a9aF1J8VN2/eXPbt2xf4etCgQRIfHx/4+vDhwxIVFWU5JzY2VoqLi4Puu/zyy2XhwoUyYcIE+dvf/mY5Q0QkLi5ODh48GPi6a9eu0rRp08DX5eXl4vP5yPkRp3rAqZ+ZU/WYlpOQkCB79+4NfH3XXXdJs2bNAl9/99130rhxY0sZJtUiInLmmWfK7t27g+7r2LGjvPfeezJ79myZOHGi5QwR83rNiRynesC0njYtp2XLlkFvNP74449LQkJC4Ot9+/bJGWecYSnDtF5jv+beHPZr5IiwX6sP9mvuzTHtGmraPor9mnUhNRzs3LmzbNy4MfD13LlzgxZi48aNkp6ebjmnW7dusnjx4pPuv/TSS+Xtt9+25b1LREQ6dOggmzZtCny9Zs0aOeusswJfb9myRdq2bUvOjzjVA079zJyqx7ScCy64QNauXRv4eurUqUFPmKtXr5bOnTtbyjCpFhGRXr16yYIFC066v0OHDrJ8+fIan/Pqw7RecyLHqR4wradNy8nKypL8/PzA16NHjw4acixdulS6du1qKcO0XmO/5t4c9mvkiLBfqw/2a+7NMe0aato+iv2adT5VVdsftYEcOHBA/H5/0OT8xxYvXiyNGjWSyy67zFLO+++/Lx9++KFMmjSpxuMrVqyQOXPmyOzZsy3lfPbZZxIRESGtW7eu8fjcuXMlPDxcbrjhBnL+P071gFM/M6fqMS3np2zYsEFiYmKkY8eO9X4Mk2oREdm8ebPk5ubKr371qxqPf/rpp/J///d/8vDDD1vKMa3X3NAHdvWAG2oRsa8er+UUFBRIdHS0JCcnN1hGqPUa+zX35rBfI+fnYL92MvZr7s45lVC7hv4U0/ZR7Nd+WkgNBwEAALziq6++kpYtW4rfH1J/6AEAAOAZpuzXQvvsRaRTp04nvS9DQxgwYEDQ332T454c03rAqXpMy4mNjZWdO3c2aIZJtYiY1wMm5ZjWA07VY1pOhw4dZNeuXQ2aYVqvmbS/MS3HtB4w6ZrjZA77tbozrQdMyjGtB0zbR7Ffq5uQHw7u2rVLKioqGjxn1apV8v3335PjwhzTesCpekzLceJF0CbVImJeD5iUY1oPOFUPOe7MEDHvWk1O3ZnWAyZdc5zMYb9Wd6b1gEk5pvWASfsb03KcyAj54SAAAAAAAACA+gn54eAll1wijRo1avCc1NRUiYiIIMeFOab1gFP1mJZzyy23SGxsbINmmFSLiHk9YFKOaT3gVD2m5fzxj38M+nS6hmBar5m0vzEtx7QeMOma42QO+7W6M60HTMoxrQdM20exX6sbPpAEAAAAAAAA8KiQf+Xgj3333XcyZ84c2x6vurq61vsLCwttyVBVKSgokMrKShEROXbsmMyfP1/mzJkj+/fvtyWjNldccYV8+eWXDZpRUFAgy5Ytk08//dSWxysvLw96v4UvvvhC7r//frn11lvlgQcekIKCAlty/u///k/Kyspseayf8sknn8grr7wSeIPRrVu3yp133imjRo2SJUuW2Jr13nvvyeTJk2X06NEyZswYeeqpp2THjh22Zhw7dkz+9a9/ydixY+Xmm2+Wm2++WcaOHStvvPGGHDt2zNas2hQXF8vkyZNteayvvvpKDh8+fNL9FRUVsmrVKlsyTsXOWkScqefbb7+VFStWyIEDB0REZP/+/fLYY4/J5MmTZdu2bbZk1KZNmza29/SPqaqsWLFCZs2aJQsXLrTl/V+++uqroOf7Dz74QIYNGyaXXHKJ3HLLLbJ27VrLGSIiTz31VIM/5x+3cOFCeeihh2TNmjUi8sNzT//+/aVv377y4osv2pbz/fffyyuvvCK//vWvpV+/fjJgwAC5++67Zfny5bZliPzQw48//rhcc801kpmZKZmZmXLNNdfIE088Ifv27bM1qza7d++WX//615Yf5/vvv5fVq1dLXl7eSceOHj1q6z6qNuzX6ob9Wu3Yr9Uf+zV7sV+rG/ZrtWO/Vn/s1yxSg3z88cfq9/stP05JSYlef/31Gh0drQkJCfrggw9qZWVl4HhRUZEtOfn5+Zqamqp+v1/POecc3blzp2ZkZGjjxo01JiZGzzzzTP3ss88s57z11ls13sLCwvS5554LfG3V6NGj9dChQ6qqWlZWpkOGDFGfz6c+n0/9fr9efvnlgeP1demll+obb7yhqqqrV6/WqKgo7dy5s954443apUsXjYmJ0Q8//NByLT6fT2NjY/U3v/mNrlu3zvLj1eb//u//NCwsTJs3b65NmjTRZcuWaXx8vGZlZWl2draGhYXpP/7xD8s5xcXF2q1bN/X7/RoeHq5+v18zMjI0KSlJw8LCdMKECTZUo7pjxw5t06aNRkdH66WXXqo33HCD3nDDDXrppZdqdHS0nnPOObpjxw5bsk7FjueCPXv26EUXXaR+v1/DwsL01ltvDepfu54Hfopdz2tO1bN+/XqNi4tTn8+nZ5xxhn700UfaunVrbdu2rf7iF7/QRo0aaW5uruWcv/71rzXewsLCdNKkSYGvrerXr58ePHhQVVW//fZb7d69u/p8Pm3RooX6/X5t3769fvPNN5YyunXrpm+//baqqr755pvq9/v1l7/8pf7hD3/Qa665RiMiIgLHrfD5fBoWFqZZWVk6b948LS8vt/yYNZk5c6aGh4drRkaGxsbG6t///ndt2rSp3n777frb3/5WGzVqpM8++6zlnB07dmhqaqomJCRoq1at1Ofz6YABA7R79+4aFham119/vVZUVFjO2bBhg55xxhl61lln6YgRI3TixIk6ceJEHTFihJ599tnarFkz3bhxo+Wcn2LHc8H27ds1NTU1cF3u3bu3fv3114Hjofa8xn6tftiv1R37tYbBfu1k7Nfqh/1a3bFfaxihvF8LqeFgSUnJKW8ffPCBLT+k3/3ud9quXTt94403dNasWZqamqoDBgwI/B+zqKhIfT6f5ZxBgwbpL3/5S928ebPee++9mp6eroMGDdJjx47p0aNH9eqrr9ZbbrnFcs7xpjq+8avpZsfPze/3a3FxsaqqTpo0Sc8++2x977339MiRI7p69Wr9xS9+offdd5+ljNjY2MAG/NJLL9WxY8cGHX/ggQf04osvtpSh+sPPbPLkydqlSxf1+Xx63nnn6TPPPKP79++3/Ng/1rVrV/3zn/+sqqr//Oc/NT4+XidPnhw4/uSTT+oFF1xgOefGG2/UwYMHa0lJiR49elTvuusuHT58uKqqLl++XJs3b27Lk39WVpYOGjRIS0pKTjpWUlKigwYN0j59+ljO+eSTT055mz9/vuWeHj58uHbv3l03btyoy5Yt04yMDL3wwgv1wIEDqmrf84ATtag6V09WVpbefvvtWlpaqk888YSeffbZevvttweO/+pXv9LBgwdbzvH5fHr22WdrWlpa0M3n8+lZZ52laWlp2rp1a1tyjj+vjR49Wjt06KA7d+5UVdXdu3drRkaGjho1ylJG48aNA4/ZvXt3nTp1atDxv/3tb9qlSxdLGao/1DJ79mwdNGiQRkREaPPmzfWee+7RLVu2WH7sH+vQoYO++OKLqqr63nvvaXR0tE6fPj1wfPbs2Zqenm45p1+/fvrb3/5Wq6urVVV16tSp2q9fP1VV/eyzzzQtLU0ffvhhyzndu3fXO+64I5DzY9XV1XrHHXdojx49LOfUNhg6fnvmmWcsPxcMHjxYBwwYoPv27dMdO3bogAEDtHXr1vrll1+qqn2bTfZr9cN+re7Yr9UP+zV31qLKfs1KDvu1umG/Vj8m7ddOFFLDweObotpudm2aUlJSdMWKFYGv9+3bp926ddM+ffro0aNHbVuMFi1a6P/+9z9VVT18+LD6fD794IMPAsfXrFmjKSkplnP69u2rAwYMCDxhHhceHq5bt261/PjH/fhJuWPHjjp37tyg42+99Za2a9fOUkbjxo1127ZtqqqamJioH3/8cdDxzz//XJs0aWIpQzW4lo8++khHjx6t8fHxGhUVpddff70uXbrUcobqD/UUFBSo6g9PWhEREbp58+bA8S+++MKWemJjY/XTTz8NfH348GGNiIgIbAr//ve/67nnnms5p1GjRqe8cG3evFkbNWpkOedU/wFl13NBy5Ytdf369YGvj/8H4AUXXKDffvutbc8DTtSi6lw9Z5xxhubl5amq6rFjx9Tv9wfl5ubm6llnnWU557e//a1ecMEFgazjGvJ57dxzzz3pVTvvvvuu5U1tXFycfvLJJ6qqmpCQEPjfx33++ecaExNjKUM1uJbi4mJ97LHHtH379ur3+/Wiiy7SF198UUtLSy3nNGrUKLB5UVWNiIgIel4oKCiwpZ6YmJigV2uVl5drREREYCjw5ptvalpamuWc6OjowHWnJtu2bdPo6GjLOU4MhhISEoKuMdXV1Tpq1ChNSUnRL774wvbnNfZrdcN+re7Yr9UP+7W6Y79WP+zX6o79Wv2wX7MupN5zsGnTpjJlyhR57733arzZ9Xfx+/btk9TU1MDXZ555prz77rty6NAh6d+/v23vbXL48OHAp9o0btxYGjduLMnJyYHjrVq1kuLiYss5ixcvliuvvFIuvPBCWbhwoeXHOxWfzyciIkVFRdK5c+egY+eff77s3r3b0uN3795d3n77bRER+cUvfiGffPJJ0PGPP/7Y9k8KysjIkOeff1727t0rs2bNkn379knfvn2ldevWlh+7adOm8u2334qIyMGDB6WysjLwtcgP7wXSpEkTyzlRUVGBtRER8fv9UlVVFXjvpJ49e8quXbss58THx5/ycXbt2iXx8fGWc5o1ayazZs2SgoKCk247d+60pc9LSkrkjDPOCHwdFRUlCxYskLS0NLn88svlm2++sZwh4kwtIs7Vc+zYscCnqUVEREhMTIyceeaZgeNnnnlmUI/X18yZM+Whhx6S7Oxsee655yw/3qkc///Od999J7/4xS+Cjp1zzjmyZ88eS49/6aWXyj//+U8REenSpYusXLky6PiKFSvkrLPOspRxooSEBJk4caJs27ZNVq5cKR06dJCxY8cGXYPqq3nz5oH3ytmzZ49UVlYGve/bl19+acvzdHx8vBw6dCjwdVlZmVRWVkpkZKSIiHTu3Fn27t1rOScpKUk2bNhQ6/ENGzZIYmKi5Zzk5GRZsGCBVFdX13jbtGmT5Yzvv/9ewsPDA1/7fD6ZMWOGXH311XLppZfKZ599ZjlDhP1afbFfs4b92s/Hfq3u2K/VD/s1a9iv/Xzs16wL/+lvcY+uXbuKyA//x6xJfHy8qA0fvpySkiLbtm0L2kw0bdpUli5dKn369JFrrrnGcoaISMuWLaWwsFBSUlJEROTxxx+XhISEwPF9+/YFXRysGDt2rFx++eUybNgwefvtt+WZZ56x5XFP9OCDD0pMTIz4/X7Zs2ePnHfeeYFj3377rTRu3NjS4//5z3+Wfv36yZEjR+Tmm2+W3//+97Jjxw5JT0+X7du3y7Rp02TSpElWywjamB0XHR0tt956q9x6663y+eefy+zZsy3nZGVlyZgxY+Tuu++W+fPnS58+fWTSpEkye/Zs8fl8MmHCBOnVq5flnF69eslDDz0kr732mkRGRsof//hHadOmTeAJ365eu/3222X48OHy4IMPypVXXhl4Ai4uLpbly5fLn//8Z7n77rst52RkZMiePXuC/qPwxw4ePGj5uaBNmzayefNmadu2beC+8PBweeONN+T666+XgQMHWnr845yoRcS5elq1aiU7d+6UtLQ0ERGZN29e0AZm7969QZtPK6655hrp1q2bDB8+XBYtWmTL/ydrctttt0lUVJRUVFRIQUFB0PNaUVGR5f+Amjp1qlxyySWyZ88e6dWrl9x///2ycePGwPPa/PnzZebMmRarqPl5TUTkkksukUsuuUSmTZsm8+fPt5wzaNAgGTlypIwYMUL++9//yvDhw+X3v/+9+P3+wPNanz59LOdcddVVMm7cOJk5c6ZERUXJpEmT5IILLpCmTZuKiEhhYWHQNbW+xo8fL3fccYfk5ubW+Lw2a9YsefLJJy3nZGRkSG5urgwaNKjG4z6fz/JzQfv27eWjjz6S9PT0oPuP/wfbL3/5S0uPfxz7tfpjv1Y37Nfqh/1a3bFfqz/2a3XDfq1+2K/ZwPbXIjagF1988ZRvWFpUVKSPPPKI5Zy7775br7vuuhqPlZaWavfu3W15Gedvf/tbnTVrVq3Hp0yZov3797ec82NlZWX629/+Vtu2bathYWG2vpz70ksv1csuuyxwO7G2/+f/+X/00ksvtZzz4Ycfao8ePU56+e5ZZ51ly/uwqAa/nLshFRUV6VVXXaVNmjTR7OxsPXjwoN51112BlyO3bdtWP//8c8s5X3zxhf7iF7/Q8PBwjYiI0Pj4eF22bFng+OzZsy2/v9BxU6dO1eTk5KA/K/P5fJqcnKyPPfaYLRkLFizQv//977UeP3DggL766quWMiZOnFjr++1UVFToL3/5S1ueB5yoRdW5eh555BH95z//WevxP/7xj3rttddazvmx6upqffTRRwNv2G7n89ptt90WdJs/f37Q8QkTJmh2drblnM8//1xvuukmbdq0aeA5LSIiQnv27Kn/+c9/LD++qnPPa4cPH9bf/OY32rFjR73jjju0vLxcn3jiCY2MjFSfz6eXXXaZLedRXFwcuBb4/X5NTU3VTZs2BY6/8cYbOm3aNMs5qqrz5s3T7t27a3h4eGB9wsPDtXv37if1RH2tWrVKFy9eXOvxw4cP68qVKy1lPProo4H3+anJ6NGjbXkvK/Zr1rFf+3nYr9Uf+7W6Yb9mHfu1n4f9Wv2xX7PGp2rDrzgM89133530W9QfO3TokGzatKnW34jbpaCgQKKjo2152fCJ/vvf/8qKFStk0qRJtkzqf46dO3dKZGSknH322bY83r59+2Tnzp1SXV0tycnJgd982eHLL7+UlJSUWn9z09B27twpZWVl0r59+6CXFFtRVlYmq1evlmPHjkmPHj1s+21gbQoKCqSoqEhEfniZtx1/1uOkyspKKSsrk9jY2FqPf/3117X+Btlt3FJPWVmZhIWFSVRUlO2PnZubK6tXr5bhw4fb9iqen3LkyBEJCwuT6OhoWx5PVeWbb76R6upqOfPMMyUiIsKWx3WDo0ePSkVFReA3xXbZsWOHlJeX2/p8WZuKigrZv3+/iIhx6xOK2K81DPZrPx/7tdPPLfsbu7ilHvZrp8Z+re7Yr7kfw0EAAAAAAADAo0LqPQdFRPbv3y+vvPKKrF27Nui3XD179pTbbrtNWrRoQY7hObVlZGZmyq9+9auQqsXEnFPZvXu3PPzww/LKK6+EfI6dGXl5efLcc8/V2NN33XWXdOjQwXIGOe7OMakWE3NO5YsvvpDf/OY38t5774V8jp0Zpl3byLEvg/2aO3JOhf1azUy7tpHjzgxyGgb7tZ8WUq8c3Lhxo2RnZ0tMTIxkZWWd9CaTZWVlsmTJErnwwgvJMTTHpFpMzPkpn3zyiXTt2lWqqqpCPseujMWLF8vgwYOla9eukp2dHbQ2y5Ytk9zcXHnrrbckOzubHENzTKrFxJyfwvPayUy7tpHjzgxyGg7Paycz7dpGjjszyGk4PK/9tJAaDvbo0UPOP/98mTlz5knvLaKqMmrUKNm8ebOsXbuWHENzTKrFxJz//ve/pzy+c+dO+f3vf2/5icyJHKdqOf/882XQoEEyefLkGo8/8sgjsmDBAtm8eTM5huaYVIuJOdOmTTvl8a+//lqefPJJy88FTuQ4VYtp1zZy3JlBTv2xX6s7065t5Lgzg5z6Y79mA9s/4qQBRUdH67Zt22o9vm3bNo2OjibH4ByTajEx5/inUJ34yYQ/vtnxCWtO5DhVS3R0tObn59d6PD8/37YeIMedOSbVYmKOz+fTli1balpaWo23li1b2va81tA5TtVi2rWNHHdmkFN/7NfqzrRrGznuzCCn/tivWee3d9TYsJKSkmTDhg21Ht+wYUPgZarkmJljUi0m5iQnJ8uCBQukurq6xtumTZssZziV41QtaWlpsmjRolqPL1q0yJZPpCPHvTkm1WJiTmpqqjzzzDNSUFBQ4+1U5+C2HKdqMe3aRo47M8ipP/ZrdWfatY0cd2aQU3/s16wLqQ8kGT9+vNxxxx2Sm5srV1555UnvwzFr1ix58sknyTE4x6RaTMzJyMiQ3NxcGTRoUI3HfT6fqA3vZOBEjlO1TJ48WYYOHSorV66s8f2FcnJyZO7cueQYnGNSLSbmHH8uuOGGG2o8bvfzWkPmOFWLadc2ctyZQU79sV+rO9OubeS4M4Oc+mO/ZgPbX4vYwObNm6fdu3fX8PDwwEvFw8PDtXv37jp//nxyPJBjUi2m5axatUoXL15c6/HDhw/rypUrQyLHqVpUVdesWaM33nijpqSkaGRkpEZGRmpKSoreeOON+uGHH9qSQY67c0yqxbScrVu36saNG2s9fuzYMd21a1dI5DhVi6pZ1zZy3JtBTv2wX6sfk65t5Lg3g5z6Yb9mXUh9IMmPVVRUyP79+0VE5Mwzz5SIiAhyPJZjUi0m5gAAYNq1jRx3ZpADAIA1IfWegz8WEREhycnJsnLlSjl27Bg5HswxqRYTc4775z//KUeOHDEix6lapk6dKgcPHiTHwzkm1UKOu3MaOsO0axs57swgxzr2a3Vn0rWAHPdmkEOOUxkh92fFJ2ratKl+8cUX5Hg4x6RayHF3jkm1kOPuHJNqIcfdOSbVQo67c0yqhRx355hUCznuzjGpFnLcneNERsi+cvA4deivoslxb45JtZDj7hyTaiHH3Tkm1UKOu3NMqoUcd+eYVAs57s4xqRZy3J1jUi3kuDvHiYyQHw4CAAAAAAAAqJ/w030CVi1evFhatmxJjodzTKqFHHfnOFVLXl6enHXWWeR4OMekWshxd45TtSxevJgcj+eYVAs57s5xqhaTrgXkuDeDHHKcygjZTysGAFPt2LFDCgsLJTU1Vc455xxyPJhjUi3kuDvHqVoAwARVVVUSFhYW+HrDhg1SXV0tXbp0kaioKHI8kGNSLeS4O8epWgLsfhPDhrR+/XqtrKwMfP32229r7969tWXLlpqRkaGvvfYaOYbnmFQLOe7OcaqWRx99VN99911VVT1w4IBeeeWV6vP51Ofzqd/v1759++p3331HjsE5JtVCjrtznKqlSZMm+utf/1rXrFlj+bHICc0ck2ohx905TtWya9cuzcjI0LCwMO3bt6+WlJRoVlZW4Dm0TZs2un37dnIMzjGpFnLcneNULScKqfcczMzMlG+//VZERN5++20ZNGiQpKWlyf333y9dunSRkSNHyn/+8x9yDM4xqRZy3J3jVC3PP/+8NGvWTEREJk6cKAcOHJDc3FwpKyuTTZs2ycGDB2X8+PHkGJxjUi3kuDvHqVqOHDki69evl169ekl6ero89dRTsm/fPsuPS07o5JhUCznuznGqlt///vfSpEkTefPNNyU2Nlb69+8vlZWVsnv3bvn666+lbdu28oc//IEcg3NMqoUcd+c4VctJbB83NiCfz6fFxcWqqtqrVy+97777go7/5S9/0R49epBjcI5JtZDj7hynaomKitJdu3apqmpaWpq+//77Qcc/+ugjTU5OJsfgHJNqIcfdOU7Vcvz58+OPP9a77rpLmzVrppGRkXrttdfqO++8o9XV1ZYzyHF3jkm1kOPuHKdqadGihf7vf/9TVdWDBw+qz+fTDz74IHA8NzdXExMTyTE4x6RayHF3jlO1nCikXjn4Y5999plcd911QfcNGTJE8vPzyfFIjkm1kOPunIbMSE1NlU8//VRERHw+n4SHB39OVFhYmBw5coQcg3NMqoUcd+c4Vctx559/vvztb3+TPXv2yKuvviolJSUycOBASUlJkYceeogcD+SYVAs57s5p6IyjR49KXFyciIg0bdpUwsLCpGnTpoHjsbGxUlZWRo7BOSb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      "text/plain": [
       "<Figure size 1600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[\"Close\"].resample(\"M\").max().plot.bar(figsize=(16,6))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Time Shifting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(              Close    Volume\n",
       " Date                         \n",
       " 2015-01-02  38.0061   6906098\n",
       " 2015-01-05  37.2781  11623796\n",
       " 2015-01-06  36.9748   7664340\n",
       " 2015-01-07  37.8848   9732554\n",
       " 2015-01-08  38.4961  13170548,\n",
       "             Close    Volume\n",
       " Date                       \n",
       " 2018-12-24  60.56   6323252\n",
       " 2018-12-26  63.08  16646238\n",
       " 2018-12-27  63.20  11308081\n",
       " 2018-12-28  63.39   7712127\n",
       " 2018-12-31  64.40   7690183)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(), df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(              Close      Volume\n",
       " Date                           \n",
       " 2015-01-02      NaN         NaN\n",
       " 2015-01-05  38.0061   6906098.0\n",
       " 2015-01-06  37.2781  11623796.0\n",
       " 2015-01-07  36.9748   7664340.0\n",
       " 2015-01-08  37.8848   9732554.0,\n",
       "             Close      Volume\n",
       " Date                         \n",
       " 2018-12-24  61.39  23524888.0\n",
       " 2018-12-26  60.56   6323252.0\n",
       " 2018-12-27  63.08  16646238.0\n",
       " 2018-12-28  63.20  11308081.0\n",
       " 2018-12-31  63.39   7712127.0)"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shift(1).head(), df.shift(1).tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(              Close      Volume\n",
       " Date                           \n",
       " 2015-01-02  37.2781  11623796.0\n",
       " 2015-01-05  36.9748   7664340.0\n",
       " 2015-01-06  37.8848   9732554.0\n",
       " 2015-01-07  38.4961  13170548.0\n",
       " 2015-01-08  37.2361  27556706.0,\n",
       "             Close      Volume\n",
       " Date                         \n",
       " 2018-12-24  63.08  16646238.0\n",
       " 2018-12-26  63.20  11308081.0\n",
       " 2018-12-27  63.39   7712127.0\n",
       " 2018-12-28  64.40   7690183.0\n",
       " 2018-12-31    NaN         NaN)"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shift(-1).head(), df.shift(-1).tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-01-31</th>\n",
       "      <td>38.0061</td>\n",
       "      <td>6906098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-31</th>\n",
       "      <td>37.2781</td>\n",
       "      <td>11623796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-31</th>\n",
       "      <td>36.9748</td>\n",
       "      <td>7664340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-31</th>\n",
       "      <td>37.8848</td>\n",
       "      <td>9732554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-31</th>\n",
       "      <td>38.4961</td>\n",
       "      <td>13170548</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Close    Volume\n",
       "Date                         \n",
       "2015-01-31  38.0061   6906098\n",
       "2015-01-31  37.2781  11623796\n",
       "2015-01-31  36.9748   7664340\n",
       "2015-01-31  37.8848   9732554\n",
       "2015-01-31  38.4961  13170548"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#shifting everything\n",
    "df.shift(periods=1,freq=\"M\").head()\n",
    "## this gathers all data to end of end month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "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>Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-12-31</th>\n",
       "      <td>60.56</td>\n",
       "      <td>6323252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-31</th>\n",
       "      <td>63.08</td>\n",
       "      <td>16646238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-31</th>\n",
       "      <td>63.20</td>\n",
       "      <td>11308081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-31</th>\n",
       "      <td>63.39</td>\n",
       "      <td>7712127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-31</th>\n",
       "      <td>64.40</td>\n",
       "      <td>7690183</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Close    Volume\n",
       "Date                       \n",
       "2018-12-31  60.56   6323252\n",
       "2018-12-31  63.08  16646238\n",
       "2018-12-31  63.20  11308081\n",
       "2018-12-31  63.39   7712127\n",
       "2019-01-31  64.40   7690183"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shift(periods=1,freq=\"M\").tail()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "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>Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-01-02</th>\n",
       "      <td>38.0061</td>\n",
       "      <td>6906098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-05</th>\n",
       "      <td>37.2781</td>\n",
       "      <td>11623796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-06</th>\n",
       "      <td>36.9748</td>\n",
       "      <td>7664340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-07</th>\n",
       "      <td>37.8848</td>\n",
       "      <td>9732554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-08</th>\n",
       "      <td>38.4961</td>\n",
       "      <td>13170548</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Close    Volume\n",
       "Date                         \n",
       "2015-01-02  38.0061   6906098\n",
       "2015-01-05  37.2781  11623796\n",
       "2015-01-06  36.9748   7664340\n",
       "2015-01-07  37.8848   9732554\n",
       "2015-01-08  38.4961  13170548"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2015-01-02', '2015-01-05', '2015-01-06', '2015-01-07',\n",
       "               '2015-01-08', '2015-01-09', '2015-01-12', '2015-01-13',\n",
       "               '2015-01-14', '2015-01-15',\n",
       "               ...\n",
       "               '2018-12-17', '2018-12-18', '2018-12-19', '2018-12-20',\n",
       "               '2018-12-21', '2018-12-24', '2018-12-26', '2018-12-27',\n",
       "               '2018-12-28', '2018-12-31'],\n",
       "              dtype='datetime64[ns]', name='Date', length=1006, freq=None)"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[\"Close\"].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "def normalize(df_min_max_scaled):\n",
    "    for column in df_min_max_scaled.columns:\n",
    "        df_min_max_scaled[column] = (df_min_max_scaled[column] - df_min_max_scaled[column].min()) / (df_min_max_scaled[column].max() - df_min_max_scaled[column].min()) \n",
    "\n",
    "    return df_min_max_scaled     \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "df1=df.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "normalize(df1).plot(alpha=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "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>Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-01-02</th>\n",
       "      <td>0.032867</td>\n",
       "      <td>0.078340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-05</th>\n",
       "      <td>0.009666</td>\n",
       "      <td>0.157132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-06</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.091004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-07</th>\n",
       "      <td>0.029001</td>\n",
       "      <td>0.125546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-08</th>\n",
       "      <td>0.048483</td>\n",
       "      <td>0.182965</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-24</th>\n",
       "      <td>0.751643</td>\n",
       "      <td>0.068606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-26</th>\n",
       "      <td>0.831953</td>\n",
       "      <td>0.241013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-27</th>\n",
       "      <td>0.835778</td>\n",
       "      <td>0.151859</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-28</th>\n",
       "      <td>0.841833</td>\n",
       "      <td>0.091802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-31</th>\n",
       "      <td>0.874021</td>\n",
       "      <td>0.091436</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1006 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               Close    Volume\n",
       "Date                          \n",
       "2015-01-02  0.032867  0.078340\n",
       "2015-01-05  0.009666  0.157132\n",
       "2015-01-06  0.000000  0.091004\n",
       "2015-01-07  0.029001  0.125546\n",
       "2015-01-08  0.048483  0.182965\n",
       "...              ...       ...\n",
       "2018-12-24  0.751643  0.068606\n",
       "2018-12-26  0.831953  0.241013\n",
       "2018-12-27  0.835778  0.151859\n",
       "2018-12-28  0.841833  0.091802\n",
       "2018-12-31  0.874021  0.091436\n",
       "\n",
       "[1006 rows x 2 columns]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "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>Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-01-02</th>\n",
       "      <td>38.0061</td>\n",
       "      <td>6906098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-05</th>\n",
       "      <td>37.2781</td>\n",
       "      <td>11623796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-06</th>\n",
       "      <td>36.9748</td>\n",
       "      <td>7664340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-07</th>\n",
       "      <td>37.8848</td>\n",
       "      <td>9732554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-08</th>\n",
       "      <td>38.4961</td>\n",
       "      <td>13170548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-24</th>\n",
       "      <td>60.5600</td>\n",
       "      <td>6323252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-26</th>\n",
       "      <td>63.0800</td>\n",
       "      <td>16646238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-27</th>\n",
       "      <td>63.2000</td>\n",
       "      <td>11308081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-28</th>\n",
       "      <td>63.3900</td>\n",
       "      <td>7712127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-31</th>\n",
       "      <td>64.4000</td>\n",
       "      <td>7690183</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1006 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Close    Volume\n",
       "Date                         \n",
       "2015-01-02  38.0061   6906098\n",
       "2015-01-05  37.2781  11623796\n",
       "2015-01-06  36.9748   7664340\n",
       "2015-01-07  37.8848   9732554\n",
       "2015-01-08  38.4961  13170548\n",
       "...             ...       ...\n",
       "2018-12-24  60.5600   6323252\n",
       "2018-12-26  63.0800  16646238\n",
       "2018-12-27  63.2000  11308081\n",
       "2018-12-28  63.3900   7712127\n",
       "2018-12-31  64.4000   7690183\n",
       "\n",
       "[1006 rows x 2 columns]"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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WJCJEx4wJEREReYZ1VY41MIkKtc4ziQ0Phl6nVd3HF+ecMDAhIiIKANaMifXUHq2YZ5IQqYdepz7tx4arJ8j6Al31hxAREZGvc5QxUa7MSYgIkYuwyfcx+t7SYWZMiIiIAoDRQWDSMjHS+nujCLuhnEqTCb6GGRMiIqIAUGkwBxnBWmtg8vh17TG4TQKCNBoMbp2IFbvOqe9j9L3AxKUZk3PnzuEvf/kLEhISEBYWhi5dumDHjh3y7XfffTc0Go3qZ/To0a5sAhERUYMkZT+CFUuCQ3RBGN4+GcPaJUGj0SA5OlR1H18cynFZxuTKlSsYNGgQrr76avz8889o1KgRjh07hri4ONVxo0ePxpIlS+TLer3eVU0gIiJqsKQgI7iKWiWDWifg9Yk9cOJiMRatPopyg+9lTFwWmDz//PNIT09XBR0tWrSwO06v1yMlJcVVf5aIiKjBE0LIk1+VQzm2NBoNbuiWhouF5Vi0+iiulFSgwmBCiM53ppy6rCXfffcdevfujQkTJiApKQk9evTAe++9Z3fc2rVrkZSUhHbt2uH+++9Hbm6uq5pARETUIFUqhmR0NajumhARghBtEIQAsgvK3Nm0WnNZYHLixAm8/fbbaNOmDX755Rfcf//9+Nvf/oaPPvpIPmb06NFYtmwZ1qxZg+effx7r1q3DddddB6PR6PRxy8vLUVBQoPohIiIiK+Uk1pqUnQ8K0iAlxjzf5Nvd56o52rNcNpRjMpnQu3dvPPvsswCAHj16YP/+/Vi8eDGmTJkCALjjjjvk47t06YKuXbuiVatWWLt2LUaMGOHwcRcuXIgFCxa4qplEREQBx6DKmDgfylFKjQnFmcsl+M+vR3Fj98ZIjw93V/NqxWUZk9TUVHTs2FF1XYcOHXDmzBmn92nZsiUSExNx/Phxp8fMmzcP+fn58k9mZqarmkxERBQQKhQZE+VeOVVRrtA5c7nE5W2qK5dlTAYNGoQjR46orjt69CiaNWvm9D5nz55Fbm4uUlNTnR6j1+u5coeIiKgKBpO1holGU7PAJEJvDQFsS9V7k8ta8vDDD2PLli149tlncfz4cXz66ad49913MWvWLABAUVERHn30UWzZsgWnTp3CmjVrcOONN6J169YYNWqUq5pBRETU4FQaql8qbCss2FoFtsKHCq25LDDp06cPvv76a3z22Wfo3Lkznn76abzyyiuYNGkSAECr1WLv3r0YN24c2rZti2nTpqFXr15Yv349MyJERET1IBVXq+kwDgAkRoXIv5dVmhehvPn7cbz5+3GvrtRxaUn6sWPHYuzYsQ5vCwsLwy+//OLKP0dERESwrsqpTT2Su/o3wwsrzVMwSivM939//QlcKanEiA5JdlViPcV3BpWIiIioTmpS9dVWVGgwhrZtBAAorTSiwmDClZJKAEBSlHeCEoCBCRERkd8rqTAPxdR0qbAkLNgcBpRWGnGxqByAeQJtXHiwaxtYCwxMiIiI/Ny7f5wAALRNiqrV/UItE2DLKozIscwraRSpr/HKHndgYEJEROTHzueVYvWhbARpgMeva1+r+0pDP5UmE3IKzRmTRl6aWyJhYEJEROTHSioMAIDosGC0Sa5dxkTa8M9oFLhoCUySory7UpaBCRERkR+zbCqMoDoMv2gty4srTcKaMfFyYOLS5cJERETkWcISmNRlVoguyJyfMJpMuFxcAYAZEyIiIqoHkyUyqcuEVakgm8EokFMgDeVwjgkRERHVkZwxqUPKRGeZ/GpQDOUwY0JERER1JmVMalGNXmbNmJhwOrcYAJAWG+ayttUFAxMiIqIAoKnDLBNp8uvZK6UoKDNAG6RBq6QIVzetVhiYEBER+bH6ZEyk5cIbjl8CAHRIjYJep63qLm7HwISIiMiPWeeY1CVjYg4Dyg3mTfw6pka7rF11xcCEiIjIj1nikjpNfg222VvH29kSgIEJERGRX7MuF679fbU24z8hOu+HBd5vAREREdWZqEflV2m5sCRY6/2wwPstICIKAL8fzpGXWxJ5kpAyJnW4r84HMyYsSU9EVE/7z+Vj6tLtAICTC6/36pbx1PBY55jUfbmwRO8DgYn3W0BE5OcyL5fIvx84X+DFllBDZDLVfY6J7eRX28vewMCEiMiFftyX5e0mUAMjZ0zqcF9pubAkhHNMiIj8X0mFUf79531Z8pg/kSdYC6zVPjQJtptjwuXCRER+r6TSGpicyi2Rt48n8oh6bOKnD7ZdlcOhHCIiv1emyJgAQFG5wUstoYbIVI/lwmHB6jUwvrAqx/stICLycyUMTMiLBOo+dBgeoh664aocIqIAUFqpDkyKy41OjiRyvfpkTGwDExZYIyIKACcuFqkuF5VXeqkl1BCJepSkD7MJTDiUQ0QUAKTaJVIVzSJmTMiD6lOSPjzEZo4JMyZERP5NCIGcwjIAQOukSABACeeYkAdJc0zqkjGxG8phxoSIyH/lFJThhjc2oNJoPjE0iQsDAFQYTd5sFjUwJsvLrS4l6fW6IIQqlgwzY0JE5Md+2JuF/efMwzhJUXpE6M1p8QoDAxPynPpUftVoNEiLDZMvc1UOEZEfu1RULv/+0m3d5G+b5QxMyIOslV/rdv/GisCEq3KIiPyYVOH1kWvaYkibRvKKhkoO5ZAHCbnya90iE2VgwlU5RER+7FKROTCJjwwBYP1Q51AOeZKoZ8YkNYaBCRFRQCi2rL6JtMwtYWBC3mCdY1K3yCQpWi//zqEcIiI/Vm4w1ysJDTYvudRbPtS5Koc8SdRjEz8AaBRpDUw4+ZWIyI+VVZoDEOnDnBkT8gZTPSq/AkBKTKj8uy9kTHTVH0JERI7YZkykD3UGJuRJ0lBOXSq/AkCntGiM6ZqKmLBgaOs6UcWFXBoanTt3Dn/5y1+QkJCAsLAwdOnSBTt27JBvF0LgiSeeQGpqKsLCwjBy5EgcO3bMlU0gIvIYpxkTDuXYOZ5TiKe+PyhXySXXqc9eOeb7afDmnT3x7M1dXNiqunNZYHLlyhUMGjQIwcHB+Pnnn3Hw4EG89NJLiIuLk4954YUX8Nprr2Hx4sXYunUrIiIiMGrUKJSV8YVKRP5HqlciZUykwCS7gJ9ptsa8tgEfbjyJ+d8d8HZTAk599srxRS4bynn++eeRnp6OJUuWyNe1aNFC/l0IgVdeeQX//Oc/ceONNwIAli1bhuTkZHzzzTe44447XNUUIiKPKK9UD+V0axILANh5+grKKo3y9WQN4g5lFXq5JYFHmmMSKFyWMfnuu+/Qu3dvTJgwAUlJSejRowfee+89+faTJ0/iwoULGDlypHxdTEwM+vXrh82bNzt93PLychQUFKh+iIh8gXSylYZyOqVFI0QXBJMAcgrKq7prg6IsOBcXHuzFlgSmQMuYuCwwOXHiBN5++220adMGv/zyC+6//3787W9/w0cffQQAuHDhAgAgOTlZdb/k5GT5NkcWLlyImJgY+Sc9Pd1VTSYvKjcY8e3uc6qS3kT+xGgS8lwSKTOi0WiQEm1e4XCBwzmyxWsz5N+bJUR4sSWBqb6rcnyNy4ZyTCYTevfujWeffRYA0KNHD+zfvx+LFy/GlClT6vy48+bNw5w5c+TLBQUFDE4CQId/rYRJmLeJXz3nKm83h6jWyizDOABUu7OmxITizOUSBiYK/91yWv49UE6evqS+q3J8jcsyJqmpqejYsaPqug4dOuDMmTMAgJSUFABAdna26pjs7Gz5Nkf0ej2io6NVP+TfLhaWw2R5Jx3PKfJuY4jqqKTCHJhoNECozjqXRMqYZOczMAGAnMIy5BRaM6PllVyx5Gryqhwvt8NVXBaYDBo0CEeOHFFdd/ToUTRr1gyAeSJsSkoK1qxZI99eUFCArVu3YsCAAa5qBvmBrPxSbzeBqN5KKszl6MODtQhS1H6QilVlMTABAJzPU/8fShWZJnKN+m7i52tcNpTz8MMPY+DAgXj22Wdx2223Ydu2bXj33Xfx7rvvAjD/wx566CE888wzaNOmDVq0aIF//etfSEtLw0033eSqZpAfOHuFgQn5v4JSc2ASFqL+GE2WMiYcygEAXLHswCwprWBg4mqmepak9zUuC0z69OmDr7/+GvPmzcNTTz2FFi1a4JVXXsGkSZPkY/7v//4PxcXFmDFjBvLy8jB48GCsXLkSoaGhVTwyBZrMyyXebgJRtY5lF+L7vVmYMbSlvEmf5Ls95/G3z/4EAETo1UuCU2M4+VXpsk1gUlBW6aWWBC6BwBrKcWlJ+rFjx2Ls2LFOb9doNHjqqafw1FNPufLPkp+xzZiUVhgRFqL+cK8wmPDljkxc1bYR0uPDPdk8IgDALW9vQmGZARcLy7HwFnVFzB/2nJd/P52rDrSljMkFDuUAgLzyrl1yFI5kF+J8HjOmrmbicmGi+jl7Rf1B3uGJlfhe8UEPAK+tOYZ/frMfk97f6smmEckKy8xDNWsOZdvdFhce4vR+0hyT7IIymEyBVfiqtsoqjfj6z3MAgBEdkgAAV0oq5fk55CIBtlyYgQl5XKaDOSYPWtLikuU7zwIAznDYh7wsr9Q89HA8pwgv/3oEBWWVqDRZV5Y8P16dTUmK0kOjAQwmgVybYYyG5u9f78PhC4WIDQ/GlIHN5RNnUTkDE1cKtIwJdxcmj6tJKpfj8+RNQlHiW/qov/GNDSiuMOJySQUqjebbnxjbEbf3aaq6b7A2CImRelwsLMesT3YhOSYUr93RPWBWTNRUWaURK3aZsyVvTeqJ5OhQaDUaGISAiSuGXUp+vQbIS4wZE/IoIYRc/8HW74dzkFdi/w1TqnViMJo4bk8e8eO+LPl3qdx8seV1u+XEZRgsFV+DdY4/QhMizEM9205dxvd7ziPzcsObVyHNLQnRBmFAywQAgNayrNrgxsjkYmE5vtp5VlUAL9DsyczDsWzrnkOBljFhYEIeJe0tAgDtU6JUt01duh13vrfVbvz51sWbAADTl+1A/4Vr8OeZK+5vKDVoa49clH/XaYMw69Nd8uVgbZC890twkOMTQYTNKh6BhjfXJLfI/CUjPiJEzhZJgYk7MyZTPtyGR/63B6//dsx9f8SLLhdX4MY3N+KaRX9ACIFKo0l+dQVGWMLAhDxMWfVx2bS+drcfzCrAiYvFquvySipRWFaJ3y0niy+2Z7q3kdTgKSuVBmmAH/daMyhRep08lBOsdfwRaru8WBmQNxTSMuGESOtEYa0lQDG6cTfcg1nmjV6lYaRAk6vYX2zw87+jzT9+xqbjlwCYX6uBgHNMyKPKDeb0qjZIg6SoUMSEBSO/VF3XwFGdk1OXrNftPM2MCbmPEAL7zubJly8VqYcXt526LP+u0zo+E9gGJoE8rODMiUvmLxiNY8Pk67SW/5fRA5NMAjUYVM5VOmeZr7fmcI7dbf6MGRPyqLJK9TbxM69qZXfM/Z/ssrvu0eV75N+PcX8dcqOzV0pxpcS+CFh6fJjddSFOMia2RdcC8SR5ubiiyu0ljl4wz4Fon2rd30zOmNTy33E6txjLd55VZQts7Tx9WS56B5hrIRWUVeLkpWKn9/FHFVW8lgIkLmHGhDxLyphI28R3aRzj9Fi9LgjXdEzGD3uzcPhCodPjiFwp84rjJeqDWiXi88vqYUTnQznBqsuBtnGdEAI9n14FADiwYJTdnJptJy/jz0xzZjMpSi9fL+0pZKxlfZfhL62T77P+/652WHTxkS/34JSi2J1GAwxa+BsKyw1YPecqtE6KrNXf9FUVVUR1mgCZZcKMCXmUbcZkUOsEjGif5PBYg0mw6it5XIFlaDE6VH2yvalHY7tjnQ3lSGXpJVJAHiiyC6yZC+V8HMA8FHvbO5txNNuc2VQOa+nqGJgoj/92t/3cEZNJ2G0OWF5pQqGlXsr6Yxft7uOvqsqYBDt5PfobBibkUbYZE41Gg3+O7ejwWCEEmjoJTOpaUTO7oAy/Hrjg0oqcZZXGWn/Qku+SNudLVHzTB+AwSHY2lNPZJhNoO4/K35246Hw49ZxNnSJlNiWoDpNfbd9btifmo9mF6LbgV1WwBKgzC4H0/pT6HxMWbHebG+cUexQDE/Io24wJADRPcBx8vHpHDzRzEpjUdVb/6Ff+wIz/7sTP+y/U6f62Dl8oQKcnf8HzKw+75PHI+6RN5hIjrYGJRqMekpDonAQm/VvG47HR7eXL87874OJWesd/t5zGDa9vwG+WyZYA5KXTEtvAQZkx0dYhY3LJZl6J7Xydf369X86MAMCaR66yewxToJyxAVQYzV/u4sLtAxN3rnbyJAYm5FFSxkQfbJ0cqNFocFP3NLtjr+mYjH4tExAabP8yNRjVb0BRwzekNKlxU8alGrfZkUqjCQ9+9idGv7IeRpPAu3+c4P4fAUIaymmkCER6pMciWBuEB65urTrWWepco9Hg/mHWid0FZYaA2FX7X9/sx75z+Xh/w0n5OttApNim3Hx9h3JsiyralrPPLVYHLnHhIfLfkRgCMWPiYL+m/pZCdv6OgQl5lKOMCQD8Z0I3uzH9EG0QtEEaXNW2kd3jKCtHXi6uwJAXfsfCnw9V+beVM/oTIu2//dbG74dz7DYefPqHg/j6z7O4/+Od2HCsfoEPeY9U4TUtJhRN48ORGhOK1+/sCQCYO6odPry7t3xsWqz9Sh2leddZsyY3v7WxxgG0P7HNmNgGDsohh7pMfrXdnsJ2/6z8UvXfCw/RIsTm8yWQNlOUMkYRNjuyPzqqHW5xMA/KHzEwIY+ynWMi0WmD0DwxQr4crNXIH2K6IPuXqfKD7X87MnH2SineWXeiyr99XLHMuKoJZDXhaDXGZ9sy8fAXe/Dz/gt48dcj9Xp88h7pNRoeosOqOUPx+9xhqlocA1slYmjbRrh/WCskR4c6exgAwLB21ondl4oqcOB8QZXH++NciEqb7KW05UR4iBYLb+mCpoqhWmm5cG2GVrJtApP1xy5hT2aefFn5JUUbpIFeF2QXmNR2ebIvkwIT2z7Ourq1/Jnp7xiYkEc5y5gA6omEep1yqMf+cZQfhsogp6oPdmX9k/pORnS2GkNyNgDS9g2VtLRXHxwEvU5rF0SHBmux7J6+qjkkzkSHqbOAVe31dKmoHH3+vRr//GZfHVrtfs6yDs4yJmO6pGJiX/UGh9a9cmoemGRZ/mfXdU6Rr7vxzY3y78p3YmpMKDQajd2k5ECZewFYv1SFaIPww4OD8cDVrbH7iWu83CrXYmBCHmMwmvD3r80furYf9oD6G4Dyd2U1Q0eT56IUQ0C2E+WUlBmT+m67Xl3GJbe4okFW+wwEZZbnNlRn/xqtrZToUFzbMVm+XFzFPKRlm0/jcnEFPt5ypt5/1x2KnLTd9r1w9op5VY6jbJJ1r5xaZEwsgYntSidHX0KGtEkEYJ9N8ESlWXerMJiw8/QV+XNFH6xF58YxmDuqHWIdzDfxZwxMyGO2nbSW8i5xEBgoh0ekfTYA9TcinYPdSZUfjAVVZEKUyxgr6llXwvZboiOBVlSroSiXP/jr//Go0Wjw7uTeGNnBHJwUljkPTHz95OnsvWVb8OvkJfMXgJaNIuyOrcsck1zLZ0Ejm1VR0pwx5ReXoW3M89ECcSjnH1/vw/i3N+GZH81z6ZwtVQ8Egdsz8jmXS6zBhqPqmrYfJhLlsKmjWf3KzIQ0vu2IMpio7xyTmpQYD6T0cUMiPbd6F2RMJNKKrX9+s9/pMb6+csTZ8KdtkJ5XYr/cWqKrw1COVDgt3GaypzRJWbkCZ0Ar86oU25N2VSvmdmfmYeX+LKe3+4r/7Tyruuzs8zIQBG7PyOcoCyA5+pBz9kZzNJSj/DAsVWQmqgpMlEuM67t3SU0CG3+cyEjWQNfRMvW62pSRW+0xRqNvv16U79m+zePRLT0WgPM6Jo6Ga+sy+VUZKH46vZ98vbQsWXqkp27sJA9p2M5hW7b5tCpjq3TTmxsx8+Nd2K2YUOtNJpPAjGU78NzPVddGcjRPL1Bwrxxyu4yLRfjL+1tVwzMFpfbfYJTfchb/pZf8u3IoRxruGfnyH7h3cAvsO5ePrYoPnNJK59+MKmqRMRFCVLlTp+1KBKUgDWASNa+tQr7FHRmTmvD1jIk0lNOzaSy+nDkA9yzdDgCoNKjbbf3/2Z84pQV2tQnayxWB4sBWiWiZGIETl4rlwKTM8mVkSBtrWYE9Z/PtHue2dzbj1HNjVO9t5WfSvrN56G4Jtrxp//l8/HowG0A2jmUX4rouqbi1VxO745gxIaqHx5bvRVZ+mSpL8fRNne2OUwYmrZOs49OOMiYA8P6Gk6qgBACKy2s4lFPFoPPLvx5B/4VrqlxB8c2f9vt12LaRQznOvb/+BL7cnln9gV5Q1Ym1rl69o7vD649lF8qZCF/PsEntlOqSSO/XQpv5YtYiivb/P2npf60CE5sMjFTifsfpK1i68aT895UZrr7N4x0+1m+Hs9H7mdX43VK5VllaP+Oib+xCrPyMW3M4B3P/t8fhcZxjQlQPtrUb/jmmg8NvAMrAISXGWjdC42COiTOlNR3KqWJi6mu/HUd2QTleWX3U6THbTlkDohaK+ivD2ydZ9wPx8RONt2ReLsEzPx7C/3211yf/R9ahHNdlTJT1TKRs3dHsQlyz6A/c+vYmAL6fMbENTLo0Ma+S+cVmewd5ubWDjFNdJr/Kq1AsgaI01+TFX45g/vcH5eOUk+efHOd4/617lu5AbnEFplqyPRmKwGTpplO4WOh8VZ+nVJWNVQrkoZzA7Rn5BEe7fnZMjXZ4bK4iraosY61alePgW0JLRWBQ1XLMmmZMJNIkvuqsnmPdmyM2PFixJLJGd29wlP/X+i7bdgdpiMB2smV9hCmCHCl4/mGvecLlsZwiFJUb7Da/8zW2gcn4nk0QpDEH6cr5GVVlnHR1yCbaBorKTQGVghWFGDulxeCWntVXQVWWEACAie9tUV0urTDixjc24OkfDsJTalpmgEM5RHV04pJ9ejTJSbVM5XivUpAiZeJoeKVNcqRcyMnR3BVJbeaYAEBhufmDWAiBW9/ehOaP/4jNGbl2c0eUqdcQbZA8wY9DOY6VK5ZqV7W821ukwCTSyQmwLkJ0QfJJWQrUX1tzTL595+kr+OPoRZf9PXewDUxSYkIxsJW5bsgHlr1zhBDy+6yqwKQ2q+JsAx1nmQLboof3DGpR5eNmF5ThvfUnVdfZBiqfbz+DPWfz5f55gqOJ+Y7+XwxMiOoow8H26MnRjvepyXVSHE05lJPk4L6JkXrER5g/LK+UOA5uANtVOdV/Kymy1Jw4kl2IHaevAAAmvb9FlQF6+sZOqvuE6ILqlK5uSKTde4Gq63p4g8kk5GWozr6Z15WUNXGU1dt6ovpVO950RVH4LVqx982E3uYh2TO5xdickYvJH26Tb9M7GApLiDSvmqmqEKKSEMIuY+JoOwjAPjDp3DgGv88d5vSx+z27xuH1y3eexQ7LUO2OU1dq1E5XKneQManNKsZAELg9I59Q5ODE4+yb6PAO5nH4tsmRquuVgckj17bFUJtN/RIi9YizLBN0lnUB1EM5NVkuLJ00lbulmoT6Q+Iv/Zup7hMdqhjKYcbEzqdbz+CepTvky8ogpTpCCLuda+ur0mhCoaINyqAzQu/aVTnSSfnvK/bZ9cN2Erevee03a3ZHuSlfq0bm9+q5vFJMfG8L1is2r3SU2UiKMmdLlaUDqlJhNEGK76VKvM62gwh2sKdWi8QIvD6xR43+lmTu//bg1sWbsepgNn7c5/n6JmUOPpvyS+0/1zy9asyTGJiQW9l+O4wLD3a6DPfx6zrgmZs645N7+6uuVx5/c48meH9yb9XtiZEhiI8wf+hLGRMhBAw280iUk8pqkkqWTpoFNsHV7M93AwDiI0Lktv1rbEd0T4/F9KEtOfm1CtKWBBJHgaszc/+3Fz2eXoXTua5ZPbH+2EUMef539H5mNY5cKARgDUKDNOp5Ia7wyLXtAJiDkCUb1UMDO097/pu5Lal+xhPf2heBy8qzDqEqA5MWiREI0pg3KFTSaBxPVE+JkQIT5yvelPIt85GCNNatJxytRgnSwOkGdu1Toqr9O6M6Jdtd98yP1nklseHBdre7i6OMyeVi+wC+U5rjuXqBgIEJuZVtqj41xvk28ZF6Hf7Sv5ld6ek7LfNH+rc0LwEM1mpU8zoSIvSIi1BnTKZ9tANDXvhdtUrHNmNSXZ0Rqe22fZAKNSk/oKcNboFvZg1CTFgwpM9NBiZWWfml+P1Ijt31ZbXYGuCrXWdRYTDhQxeN97/x23FcKDAvY1+xy1xVU1p6GhGiq7KOTV3c0C0NfxvRBgDwn1+tK75aOSjd7g2HLxTi14PZWLb5tN1rV5lJUr7uI/Q6tEmyP/H3aR7v8P8nDeNWFZgIIbDw50N4e22GXC06NjxEDjwcDeVU9VZTHh+iDULrpEi7Y3o2jbO77nSudzbilLK5KdGh8q7WtpnglokRNQq4/BUDE3Ir21UXYXVY6dC5cQy2/2OknEnRaDQIV3ybTY0NRbxlKOeK5Q382+EcZOWXYfMJa2rZtkJldcvypA+IQifDDcqxdqW6VLcMdAMW/oapS7bLl6WVWTXZT2jhz4cwfZl1+KcmK6pq4qRiYvYaS10LaXK1o7lMriBtMicJC9bi9j7pbvlbtaUMRmzft8pXclSo+nWfHh9u91jP3tzF4d+QNvarKjA5lFWId9adwPMrD+PFlUcAqDMWzuaYOBOsGFK6o2+6KuP67M1d8ML4rri+S2qVj+HJt7I0p6Zfy3h0SDUHH7ZzckZ1TnF54OxLWPmV3Mo2Va+tpg6JM7ZZlBBdEGB5r6bFhMlBx2Wbya9CAEcuFOLwhQL70tlGU40mkDlb6RPjJDDh5NfqSf+76jImJpPAO+tO2Fxb/w/kcoMROYqaFcdzilBSYcBZyx5OTeLsT7au0DlNvUNuaaURk/o1w7qjF7HxuHcnwFYYrc/F0exC7Dubj6JyAxIj9QhWvG9tS/U3iVNnQWePaOMwKwGYswCAeein0mhyGGQoT8JSwJikeP8H62r3/CvbHqwNUr1v+zSPQ5vkKOQUVj205MkvGcpVSCFa8xeuwxfUtaBSnKxsDBQMTMitbCf5VVcgraaUwyuNovRyqrms0mRXZG3UK384fIwKgwmwfN4JIfDF9kx0bRKrOqas0iivFhrRPkn+oASA6FDHbx9OflVztMW9NF/AWcZk/7l8/HY4B3f0tc8mOHq82nI0t6Xfv9egX0vzJnDKonmuZJsxvLF7GiL0Onxyb38czS7EtYv+cOky5dooUlRNnrB4s+q2DpYMV3iI1u5/c1XbRli66ZR8ecrA5k7/hjRJHQBeWX0Uj45qb3eM7dCpRmOdnwPU/jNEGfwEadSZTmkIOC48BCHaIKfZOE++lZVbIki1dPbalNh3NgE4UHAoh9zKtlx1XTMmtpQfINogDSJCtPKkOOU3rv9uOe30MZRLhlfuv4DHV+zD9a+tVx2TV1KJi5bH69siXrVCqF2y4zFeuY4JC6wBMM8NsSUNBzhbHTX29Q14edVR9HewpNMVFVKL5Lkk1kChsNyA1YeyAQC9m9vPOXCHp260bs0gnXC9dcopqWLF06Es8zf2lyZ0sxtCuLp9Eu62BCMdUqPlieiOKCeovvl7hsNjLtpkL766fyD6KErMlymC2YgaDA0H22RFtUEafDq9Hz6Y0lveATlYG4Stfx/h9DE8ue+Vcm8gKXCyDUxqO5zlbwK7d1RrJpPAlhO5TudV1MaF/DKsOpitus5VgYktjUaDOEstE2Vadu0R+6JV0ueqcmWOo02/APOkMynQSYrWI1oxvt7LycmLQzlqtsWpgrUahIWYP3qqq3Lp6F9odEFJXelbeWSoDsvu6YtezdTPpbO9VlxBmtD4nwndVMMK0moub71qalKFN9RJIPDE2I54bWKPWi/NlZhMAhkXiyCEUA2xAUCjSPUwbolipV9CZPVzgYIV2QXp9TSwVSJGdFCvxImrIqDy5FtZmTGJD3fcpmBmTKgh+XTbGdzx7hZM+2hH9QdX44FPd9ldp3XjhC0pTVxdjYSIEHOqXBmYOGtWVn6pvH9Go8hQ1Yeis51IvTH5VQiBnaev+GSJd9vJkcHaILkGQ03qydiqas7y62uO4a4Ptlb7fyhSVHcd2rYRXri1q3xbs4Rwp9WJXeHrWQPx3uTeuKWHumS69Br01hBgTWrEhDtZQh0UpMG4bmlO55YoPTHWvI+NFKABwDe7z2HES+vw7E+H7AIT260BShRDtdFh1Q97KZcX16birJJn55hY9wZyln3SOajZEkgCu3dUa9K3220uKPi0w0FtBldnTJSz9aXAxNlunBKpcJbypOjsg+fkpWJrYBKlV63kCQ9x/KHojYzJ93uzMP7tTej85C8eTTvXhG2l3xBdkFx8q6zSaNfe6k6QzjImqw5m46VVR7H+2CV591hnrBkT8+snTbGMvamDVSaulBQVims6JtvV3ZAzJl56+oqr2ABT4uw1XxtXtTMXSFQW13vz9+MAgPfWn7TbSM/2byp3EHc2AV1JOfRU031obHnyKZGGqvSKoRxbzJjUwvz586HRaFQ/7dtbJzcNGzbM7vaZM2e6sglUT5fcvLvmyA72hYzqQpqAd1N367dOaQinpJoPWEff1vMcFDACzKsTrliKPCVGWj8kqiq4JNcx8eAZ5tOt1rk0n24747G/Wx0hhN1kxmBtkFxefOmmUxj2n7WqYER5Yhrfswlu6Jamur/BQcokp7AMj321V768/5zjoTmJtN19iiVoCgvRomfTWADAbb29u3zXWxkTR1mmiTaTj6UhuPqQMpbKSeodFBt77rL5QmO7Cqi00trOKH3tCp/ZbihalSVT+8jLnj06x8RgLcHvLGMS6HNMXD79u1OnTli9erX1D+jUf2L69Ol46qmn5Mvh4e79dkK1YztZ1VXW/9/VOJRV4LLA5JN7+2HNoWzc2sv6wVnTN6u0RFiZ1s0tdhyQSXtlaIM0iAsPwewRbfDab8ew+C+9nD6+PJTjwYyJ8mT9382nMalfsyqO9oycwjJc/+oGuxoMIdog9GthncNxOrcE+8/lyytipFR+s4RwvHRbN/x+JAff7zkvH+8oE/Xq6mOqIlQZF6uuDrvd8rz2bmZtx9J7+mLn6SsYZrPlgadIGRRv5btsM1VN48Px7M1d8O3u83KwH+aCjIm0MslgEqgwmJfsK8/7tp9BtpNtx/dsgo3Hc9E9PVYu819TZTWomyO5ul2Sud7K1x5elVNpXS7sdCiHgUktH1CnQ0pKitPbw8PDq7ydAoPJJBCs1aDSKPDaxB5Ijw93WIiprtJiw3DXgOaq62pacEjnYKjFtqS2RNodOTHSXHnyoZFtMH1oyyqXdHp6KOd4TqFq2OyUi0q219fG45ccbtZ2Lq8U/Vom4JtZg3DTmxsBmIfMpMBEyphItSuGtW2EpVP74Gh2IZ796bDDTJTU55t7NMbXf57DxuOXcCy7EG0crJwyz8cxD1UqJzBHhwbj6nZJ9elyvUgjO94ailMOkQDmzKNGo0FydKhcjM7ZHJPaUJb6L600IkQXVKs9k27u0RjNEyPQLjkKJRVGbMrIxa29mtTw3rX733pj3k+ZPMdE63SoKthNiwh8hcvDrmPHjiEtLQ0tW7bEpEmTcOaMOq38ySefIDExEZ07d8a8efNQUlJ12d/y8nIUFBSofsh3/bwvSy4lXWkU0GiA6zp7JhC13fzPGY2DyanKE+jAVglYMrWP6j7SskKNRlNtnQlPT35932br9rJKk0tWVdWXs4mG0mdq9/RYeZmpsgqrNCQnFdXTaDQY1i5Jvuwo4JPqknRrYi5gVlppxDWL/sBHivoakoyLxbhSUgm9Lsiu4Jk3aSC9brzz920zJtL/WzlsWZfKzbZCdEHylwNpOMfRMNLca9viw7t7212v0WjQs2kcIvQ6NIrS4/e5wzDr6tZV/s0F4zohNSYU867vUKu2euM5kerJSJN+N88bjuHtk/D2pJ7WdgVw1VfAxRmTfv36YenSpWjXrh2ysrKwYMECDBkyBPv370dUVBTuvPNONGvWDGlpadi7dy8ee+wxHDlyBCtWrHD6mAsXLsSCBQtc2Uxyo/s/Ma/EkSaYJkbqPTYe+q+xHfHt7vPVHic1Rxk45FoyJk/f1BkT+6RDpw1CdKhO3sDPtvJsVawZkxrfpV7OXim1u27H6Ste/fYPQJ6bAwC9msXJG9WtnXu1fL00V0gZmFgzJuqVMVrLSgRHc0yk9H9bm/1D3t9wwq7gl5Qt6ZYe61Nbx3s7YyJVTZ4+pAX2ncvH/HGdAACxim/tjnYMrouwEC0KywzyKrcrDnYFf2B4G5f8LcBc9K2qwm+SMV1T8ePeLAywZO+UiQkhhEcCgjzL8yBNfE2NCcOHd/dRBY7CawN+nuHSwOS6666Tf+/atSv69euHZs2a4csvv8S0adMwY8YM+fYuXbogNTUVI0aMQEZGBlq1auXwMefNm4c5c+bIlwsKCpCe7ht7S5Ca8gNVWtWTGuO50smJkXr0bBqLXWfyqjzOdvVDSYVBnhR3S4/G8vhtfESINTCpQb0EiZQx+c+vR3B1+0YuWcngyGPL9yIsRIvTl80n9U+n98OKXeewfOdZ7Dh12euBSZ4lMLlnUAs0itJj5+kraJ8ShaYJ1iE9R4FJjmIVlJKjITjAvNLihGVOiW3qO/Oyebm38rGkeUN9PFRErcbkYQPP/2khBA5biqjd3KMJ/jGmo3xbrKKWhqtOzGHB5sCktNIIk0ngfH7Ndht2t+fHd8Wwto1wbUdzljdI0V8hnJcVqK+Cskrc/eE2DGiVIM+VirOpYaKq9hrYcYl7S9LHxsaibdu2OH78uMPb+/XrBwA4fvy408BEr9dDr3fPhlrkXF2W9SqXG0o7c3p6T4eaZGekD1fpBHfgvPkDOTQ4SFUzITY8BLD0I7EWGZMrlm88Jy8V4/31J/G3EW1QYTDhzve2oHPjGPmbaH18sf0MvtiRKV8O0gBtk6PkE73tkkvA3N+7l2zDubxSfHpvf3kLeneRhpOiw3S4e2BzpMaYl8kqSe09nVuCskojQoO18rfnBJuJf9JJwnaOyceK6r5R+mC70uLbT11WbdL2Z2YeANgVVfM29UnQM9/OJefySlFQZkCwVmNXi6QmS3JrS3qflVYYkVtcgQqDCRoNMLh1ItYfu1TNvd0nUq/DBMWqLOVTYBICQW6qy/vVzrPYdSZP9aXKduJrsKJ2SYDHJe6tY1JUVISMjAykpjreuXH37t0A4PR28hwhBN5fb90srSalnm0p9x85c9l8Qq/trPn6qklqXit/MzW/vaV9QcoqTaqTQZxibL02GRNlOXNpUua6oxex4/QV1Z4i9fHYV/tUl1skRiAxUi/Pf7GdyAiYN6pbf+wSTlwsxqqDF1zSjqpIKyBCg7UIC9Hiph6NEWEzP6dxbBgSI/WoMJrw8Be7YTJZlxfb7mIrZUxsS9JfUWzcGBMejBdu7YqoUJ18grWtySNlclIVtUt8gfKU5+nRnIOW4Lx1UpTde8gddV2kk+6FgjKczzMPRSZHhaqKofkC5eeBu56S/NJKVXBt/rv2AaFt3ZtA5tJXwdy5c7Fu3TqcOnUKmzZtws033wytVouJEyciIyMDTz/9NHbu3IlTp07hu+++w+TJkzF06FB07dq1+gcnt9qdmYdnfjwkX5YmueUUlOGepdvx64HqT2RF5dY5Bfml5t9tTy7upvxgS40JtauBAFi/mVaXMld+MHRMi67iSLX5N3TCjKEtAVgn95VXs4tufUkBiXTidzSZ8Eh2ofy7sxL8riStLgitIlgMCtLgtTu6I0QbhJ/3X8DmE7nyfJFIm00StVop06WevCMFGh1ToxETFoybejTGvvmjMHVQcwCQT3wS614k9Z/I6UpBHjgJOlspdijL/NromGr/Or+zX1MMb5+E+Td0tLutrppbMmWnLhXLz09arO/tmGubMXGHb/48Z7e8PSYsuMqstW3RwkDj0sDk7NmzmDhxItq1a4fbbrsNCQkJ2LJlCxo1aoSQkBCsXr0a1157Ldq3b49HHnkE48ePx/fff+/KJlAdSRkOiTTB8OEvd+O3wzmY8d+d1T6GbSEtAB7fKVU5lNO1SYw8q14SFx6sCEyq/qBRfluqTdpfpw1CG8u39Z/3X8Cg537DbkWKti6TG8sqjXh19TFkWAqD2ZICyUjLpGNHgYmyeN6ezDy7212tXJExqcrA1okY2No82fBcXqk8BBRlE5jIGRObya/SxGXbYmBSYJlXql6hJAdMDoJWb1IGJu44CW45kYvOT/7icGPLE5fMrytHK9tCg7X48O4+uHtQC5e1JT3OnIV5548T2JSRC8BcAqBxnG9lsWznmLiDtCJQWcAxwsm8tGX39MV/JnRD6yTHG4gGCpeeNT7//HOnt6Wnp2PdunWu/HPkQrbfpCotY/Q7HZSVd8bRHjW2Jxd3U+4kmhCpV33j+WJGf7ROisQsyx4+tfnwr+3KIuWE13N5pXhfsZGdwVLjpTbe++MEFq0+ikWrj+LUc2Oc/r0IeSjHPjBRBivHLxahqNzg1sBR3vOjBgGAFETkl1TKAW60bcbESUCZV2oOTGJsJgtKj1mgCEyMJiFvKxCq862MCdz87Xzein0orTTiX9/sx1391QX4pMye7VCbuyRZvvEXlhnkQKlxbBjuH9YKl4rKMb5nTeuSuJd6VY57/ob0vhzXrTE+3Gj+nDiXZ7/SDgCGeqn4n6f51lcG8hrpw7tLY3NdB4NJQAihqpRY3XDEzI/tsyqez5hYP0kSI0JU+ZJ+LROQEKmv8VBOfZZt2m48plSXjcSOKzIlE9/dYne7NJO/qqEc5XVCAEcuuLcmkLQvSU0CADkwKa2U22k7DKh1MMfkldVHseWEeQ5JrM2YfGyYOVDJUyxbVu6V4ntDOdbf3XESrOp1J00WdtVy4Oo4mrPVOC4MseEheGtSL7udf71FmXF111CO9CUiITIET9/UGYB5+Kwh8+xZg3yWtCxWmqxqMApctKnaWWkUcBZnOBu79nTGRDnHJDFKr0rFSuTApJrIpEVizQq2OVLVSa/CYEJELYeIlQHe5hO5drcfs8wfiawiY2I71OZo5Y4rydu31yJjcvhCgfxasg1qdfIcE2Vgckz+3XZ5pTLYkSgDE0+dhGtK4+ZhA+WkVttVP9Kwm6fqujha5ZbmY5ORAfUcE3fN+5EmqkfqdbirfzP0bxGPJnENe6sWBiYEwPqtUpotX2E04Xi2ej6DwUnFsAv5ZRj3xgaHt3l68qtyyCUhQg9Hq/uk2e3VfQOaMbQlcgrLMLoOlWurzJjUofKao9LuSq0tpdcjqliVY5tFyXVQ1MqVapMxkbYrWH3IvCuwNkhj9z+sqsAaADRPVH+Yx1hWVZVWGlFuMEKv06LMYD0B+9oqB2VzKowmhJiCXLobt0ExafhSUYWqtos1Y+KZLJKjjElarO8FJu6e9wNY35fSe9fRNgoNjW99ZSCvWLHrLD6x7E7bND5c/jD8+s9zquMqnZwQVvx5Vi6KZcubk18TIkMcVh2QPutNQp01+WJGf9VxYSFa/PvmLhjSpvbjulWN1ddlKKfU8o3W0Rjzbb2b4KUJ3QAAkZa5JhVGk93fkSaVSpNILxVWoLjcWn3T1ZTbt1dncOtE1eVIvc6ujoftHBPl0OLmecPtguAovU7+xitlTX7elwWgbs+BuymHDUa+vA6t/v4T3vz9uEsqwVYaTcjKsxYxG/XKH/ifog6OPB/IU0M5DjImjX0wMFFlTNz0kpGym3Up0RCoGJg0cJeLKzDnyz1y2r1FYoS834htYGIwOX5n5pc635fFdsmnuylT0YmReofLfJVDOcrsRW2WBFdHub+IrfI6nBSlbNX4no3tTh4v3NpNrtkhbQUA2A/nSHVmpG9ki1YfRacnf8GwF9e6vAy6wWiym/dSFdtVCI4CWul/erGwHOfySuXXnUZjroFhKyhIo5pUO33ZDtWSeF+jPAlKw2wv/nIEu87UfAK6M5eKylVzcy4XV+DR5Xvly1Kg5qnAxHaoMyxYi+gw30vgq5dw1/89klNYhpX7s1TZZ6kOT2y4Z2s++TIGJg2cbVChPJnbFrJylkKvaq6Cp+eYKCVGhuCV23vg9t7p+PFvg+XrlcuFlUGCK8fXbSdiKinnOdSU9FzogoLQp3m8fH3XJupN6HTaIPnkYjt0I13ubbP0OaewvE7BUlV+2JuFonID4sKD0bpR9XN1bDeHc/S6SY8PR/+W8TCYBD7ccFKesB0dGux0WEYKTM7mlWLVwWz5+iFtEh0e702O5kMBVQf+l4rK5eJogHnuyOfbzmD/uXzsOnMFxeUGlBuM+KtlDytHftybhaOWYVtv7R0UHxHikxvTKVvkiq0Crl30B2Z+vAsrFXWhpADettJrQ8bApIGz/VbdJjnSaUXMSidzIy4VWecqSKt6JFF6z84xURZ5iw4NRkpMKJ6/tSs6KXaRVQ7lKFP6rqw6qavisZZtPlXrx5O+Yem0Gswd1U6+fsndfeyOlU7qxTZDNNLk15t6pNndpy7BkjMFZZV46IvdAIAhbRpV+b+QKHecBczPnSPSbsR/HL0ob15YVcl06bZsm71Y2qf43ji+s/NyaYXj911eSQV6P7MaN7yxQS5StikjF4+v2Iexr2/ALW9twpwvd2PdkYv408n+UUXlBnn5POC5OSa2vPkFpiqqoZx6ZhULyyrluXz7LAUOjSYh19mJi/DsZ6UvY2DSwCkDkx5NY5EUFep04z3bDIpEmrsAAH9XbCuu0Xi+iNUtlvoHnRtHO/0WrdxzpcDSdr0uyGPf2P44WvO9QDIuFuGx5XtxwrLJXbBWg+7psXjx1q54+sZOSHAwiVAaOsnIUVeTlDImMWEhOPrMdaoxfeWy8Po6k2st1qfco6Y6yqyJsyFAaYLkxaJy3L1kO4AaBiY2NXZ8ZTmqkrOMibM5QAu+PwjAfHKT6l5k2QRgvxzIrjLj8u66DNVlb2VMnPXd2zQajRyc1DdjskGxB5D0Or5SUiGvwLJdVdaQMTBp4KTxzcaxYfjkXvOmirYZEym4cJQxKSyrlHeG/e+0vqpvorogjcfTsz2bxmHt3GH4aGpfp8dIk3uFEHIBuc42mR5XWz5zAKYMMBe16tkstsb3u/2dzfhiR6b8TUtamTKhdzruGtDc4X2kDRSlb8J5JRX4bNsZxTYBOoTogvDT7CHyfVyZMVGu9hnVqeYBgHIVjrNv0FLQpaxN4iyTBygCk0LrCXv5zAHob9nW3pc4e6eUOnhudmfmqeaASQXSHK0cuax4Pv42oo3qttd+U2+wWtX/0tWUJe59eVM66Xmpb8ZEWnEGWDO1UqYrKUpf6yKOgYz/iQZuzpd7AJgrDUrVQ5V7VmiDNHIk72iOyZ3vbZVPErFhIQhXTL50VtvE3ZonRjjMJEjkb0AmgS2WmiD9W8Y7Pb6uHh7ZFgDw1I2d0Lt5PHpa5nZcKXb+DdaWcpgMAIJruXy03GDEo8v3Yt4K66Z/0sk6JixY3sG3zIV7+VwuNmcnBrdOrFVgqpwk6ywwcTQptqoltdKEWWkoJzlaj97NXf9cu4Kzf1VJhf1zs8Wmlk1ppREmk8BWS7G5Ye2sq7ekIa/be6fjxu72w3hKtjsLu5MrS9y7k5TNqe+n2fpjF+XfpVVzK3aZg8t0N2yU6M98c2CPPMbRh15ytHooR4rkHa3K2XfOuhlcZKhONU/DS3FJtaxDOZA/yN3xDfrB4a1xQ7dUtLBsWCbNulfuhlsVR3VjajJfQ6n7glWqb9zxESGqFRHS764cypECr7haTuYb2yVV/gZvu8eRxNEKn5FVDMvYZkx8rdqrkrMgztF79JLNhPOySiP+76u9+GrXWQDmjFJ8RAguF1fIwzyRoTo5EFWKDtXhhVu7YkDLRK/9f1y9KsyVzJ8Xol51TIwmoSqpUG4w4b31J+Tdxqt6DTdEzJgQAKj2plB+OCVF6eWKm7Z1TGw/TBzVnvBF0hfsM7nFOJdXimCtplab9NX47wRp0LJRpPw/kbaPP55TpEqvOyOVWleqbcEt22EA2/lDUo0RVw7lSHMialuX4W8j2qCDZXfbzo0dL90Otzlx3tyjsd3whJIUyEgb/fnc/jg2lE+v9HuJYh5YhcEEIYRdwb3CMoNcowUAru+SIq8MO3vFPLQXqdc5nFScFB2K0Z1T5YJ0ZMMFc0yKbKouVxhM+MgSlPx1WCvMvKpl3R88ADFj0sAlRobgUlEF7h2iTquO65aG34/k4L/T+mLWJ38CsB/KUS4xHdAyQbU7pi+TJsX+adlht1NajGrTPXdpkRiBjqnROJhVgJ/2ZeEvNhupfbL1NP7x9X6M7JBseV7sl2HXdvM/W3bzh3RSxsR1gYkUDNX227dOG4RvZw3Cn2euOA0UgywVYaUswtiuqVUGa1G2gYmP7ShsK0ijkb+ZJ0bqkVNYjhLL/zOvpALDX1qHUF0QzttMcj18oQDFFUbogjR4bWIPXN0uCT/tMy9JPWcZyokK1TmcEF5VlWKyBoj1yeoUlKmHb3edviJnUHo2jfOLL3Se5NvvUnKrzMsl8hwG24Jgr97RHVv/PgKtk6KsGROTSTU5TlmcbOk9ffzmzSUN5Uh1MDwZUElLdX85cAFHLhRixa6z8gfeP77eDwBYfSgbn2/PVE2Wk9QkY/LWpJ5Ob7PNmEgnalfWMZGWt9blhBeiC0K/lglVDlkpJwm2rKZGipQxkUuu+/BQDqCeZ5JomSclTWz95cAFXC6uUAUl0vN5KMu8V1Lb5Chc3yUVYSFa+f9fXGHdiwUAVj08FH0V82x8IYvkq8uFAeuwYn1Gm2xXRm07Zc2GeroIpT9gYNKA/aIo8pNoM1lUo9HIWQTpJLF8x1l0evIXuVBVeaV7aoC4m3Rulz6wPXmy6phqXv2TU1COUa/8gTlf7sFP+y7U+NtYTWbuX98lFWseucrhbamxtoGJ+zImYW76vyrH+h2VNleynZNS1dJiX6AM7qWN7qShsUgHNYHS46zDgwDQJM6aEbMNDKUTYJvkKDx/a1f5euVJ0tNem9gD7ZKjsPCWrtUf7CXWjEndH6OgiiXb7l4R6I/852xCLidNXH1oZJsqT3jSSpAf92WhwmDC9GU7AKj31/CXbAlgzTpI30TddQJ1RCoZr6zKOuvTXfLuztXR1XCOSYuECPRvGY/ezeLwpGJZZrxNrQQpMCl34eRXKcixrebqMooTRHUl1G1X8aT7+K6tymdXyuRJw1bKFW8SKRCxLgW3Bi9hVZT5lyZk2/7uaeO6peGXh4d6dDVQbSkrRdfVhYIyh9d/PqO/x/cT8wf8jzRgUvXB7umxVR6nczKvoUKxU6sjvroplRRESZVRPTnvQEpZ25aLP5pd6PD4AS0TsFmxNFQXVLO2BgVp8PmMAXImRirGZZs2lvruyuXCJfL/1f3Pf3WBmm0mMD3e9zaKU1IWGpOyQVIAbTvHK1KvQxObZabKDRNtJwrbngB3P3ENXll9DLf1Tq9/wwOZPPm17oGJbeE7AOjZNNYn6+n4AmZMGqDconI0f/xHuZqobRl5W87mNZTLG3+pPwA/nd4PceHBmHNtO0d38zrb1Kwnx9iloQXbrQBeWHnY7ti517bFxH5NVdc5CxKdMVeutN6nW5NY1e3umfxa9zkmtVVdpq5tciRmK1btpPngDrZKyu40sgRV0pCjcvuEIW0SsWnecHlyr6RUsbTYNmMVbTOMFRsegvnjOrl088pA5Io6JlIRSuU+VVP9pI6LNzBj0gC9tuaY6nJVxcgA5+Wiy53sSDqwVSJ2/vMapyXhvU1r0x9PtlP61mpb3n/7KfsdZFs2ioRt02obmEjW/9/VyCuptCvkJM2vefanw7iuc6pLCj1Jy1vdNURWmxOERqPBA8Nb41XLa97XN0pTvtesk1/N/88KozXoeH58V0SHBtsFH8rJ6XqbTGAbHx4u8WWuWJWz3zJsfme/psi4WITwEB2urUVV5IaGgUkDdEVRznto20ZVHGnmKGNSYTBVuVW6rwYlgP23bKksvSdEhOigDdKoquI2jQ/HmcsldseO6pSCdUfVK3NqOpRjKz0+HOkOCp4qh7Ge+HY/llRRyr86b6/NwL5zeXLaOsrJRnz1VdsTRLA2CBP7NsXZKyXoUc2wpbclRobIw3zSihtpjkmlwdzvq9s1kjM/tsGfMquizKZ8Or2fX80D8yUaeY5J3R9DWv3YPiUavz58FbRBGq9tmOgPGJg0QOWK+QTD29UgMHHwgdbjqV8xvpe5KJuvL8G0ZZsBctQ/t/3tIA0GtU7EH0et5annXNNW3o33mo7JCA3WYvaINtAGaewmJbt6kzXlh+OB8wUAzK+P4KCgWgWXxeUGPG8zHOWuZZB1OT8svKWLy9vhDsvu6YeVB7LQqlGkao7J0exCHL5gnoekfA3YDpcpl/Df0C0NuzPzMLFvUwxsleiB1gcmV6zKkbJe4SHaaleSEQOTBkm5/0pNyoY7OkEVVxixbPNpAECGZamiv7BdgPSEYtWKJzRPCMcflt+DtRr0aBor33ZV20aqwmu2E0irW4VSW5lXrJmark1ikHm5BLe8vQlN4sKw4v6BNf6WLZ00ldy12sCHq5fXW9OEcMwY2goAcMGSeSosN+DaRX/Ix4QogslQm8BkXDfrXjjNEiLw/pQ+7mxuA1G/VTlCCLlIHovZ1QwDkwZIqijaODasRtvSV5dRqPDgjqSuoMyYROp1Hq8j0D7FOtmwZ9M4pMeFo1+LeBy+UIjBrdXfbBsp5v9oNDVfLlxTyuXDJgH8sDcLFwvLcbGwHKdyS2q8lNRRnQZfLprlDxwtDwbU1X87p8WgcWwYWjaKwP3DWqF/C67ycLX6ZkzKDSb5vm5bQh9g+MnRAF20lEL+5N5+NSrYVdv9WXydMgvgjW8w43s1Rm5ROQa0SkDPpnGWpb397doGqDdUFKL6VSi19eDw1vh29zkUlBlw5EKhqp7E1f9Zi/cm98Y1He0n6e06cwULfzqEf4zpiO7psXYltwE3Zkzqvc+rf7Bd7itRZs0aRemx8fHhnmpSg1TbOiblBiOmL9uJfi3iMevq1qpNGD2x9UUg4HLhBqa43CC/UWo61unLE1nrQhmLeaO4kV6nxYMj2qB383j5f2u7rFfi7m9YSdGhePWOHgCAc3mleH/9CdXt05ftwN6zeXb3u+WtTdh+6gpmf27eR6nQpkBci8QItwV9UsapY2pgL3N1Vpa/Jl8myHU0tcyY/Lg3C38cvYgXfzmCXWeu4IbXNwAwzw0KtC957sJXeAMjDeOEBWsdbiHvSD33jfM5yqwA96lQZ40crTxYvvOs0/tKm+PZBibjuqW5bRXIG3f2wJiuqZhzTVu3PL6va+zjtVgCTW0yJgVllZj/3QH58i1vbcK5PPMmipxfUnMMTBoYaRinNjPDq8uY/HNMh3q1ydOuapsk/+4PEyndPVejRaOq55GsOZSjWqKrXJIqnSQLbYZybuhW/dylumoSF4437+yJkQ6GmALN4r/0wuPXtcf1XVLk65ztvEzuIWU5bGsPObJkwymn20s0qqZeFFkxMAlwX+7IxE1vbkSOZa+GugQmVU1+fWx0e0wb7F8VDH29yJYtd7c3KSoUfVuoi5w0VRRaO5dXisvF1pVcxxWrsKSMk23GpHmC9/ZfCSSjO6dg5lWtVPMUuOmbZ0lFDQ01mOTvbE8cAA0ikHYVBiYB7v+W78XuzDy88MsRAMAlywkmoRYnu6rGRa9q28gvCze9N7k3GseGYcGNnbzdlGrFhrs/kHp4pHpYxHYXXuVeHztPW3ejPZxVgCvFFXYZE2fzI6hulKuePLEHEVlJO6fXJGNSVXbz+s7uyyIGGn56NBAX8suQX1qJf32zHwAQG17zqpxVDeU0T/Tt3VqduaZjMjY+Phw9m/p+WjyuFs9VXTVLUD+PtoHJLwcuyL//sDdL/r24wogXfjlS492RqW4eHdUeIbogPDHWszV3yJoxqUlZBNs9sCRdm8Sgc+PAnqztSgxMGogNxy+h24Jf5cu1KRfubChnUOsELn/zgDv6mDfya58S5ba/kRIdqqooahtwvv7bcXy69QwAIMcyHDjranMhsDWHsuWMSZReh/cm93ZbOxuqAa0ScGDBKNzjZ8OmgUDaBsJ2d2cA2HT8EuZ/d0DeBPMTy3tE0iE1GqeeG4NvZw3yy8yyt/CsEqD+PHOlyqWmtZlQ6Wwo56kbO9e6XVR7ozol46v7B6pWE7laUJAGaTGhOJVrrgT74PA2uJBfjiPZBci8bF5V8Pev9+GGbqnIKzEPB47ulIp31p1ATmG5vKvtW3/piSFtqt/mgGqPy4S9I7iKOSZ3vr8VgHlZ/0xLxV7APMRdYTDhyXHmDBeDktrhKz0AHc8pxM1vbcLoV9Y7PaY2GRNnuwsH13FDOaodjUaDXs3i7IZXXC1a8fiJkXq8P6U35l2nXnG1eF0G8i3zHZKj9eiYZk5PF1pS2O7auI/IW6SAsKqhnE0ZubhYZJ2H1S4lCp/N6K+q8kw1xzNLADpyofq9a2qXMXF8vS7QCpw0cMpv5FKWrI1NlubN3zPkWifRYcF2c3RYhp4CjTSRu9LBUI5kT2YeRr5s3c/oLsV+V1R7DEwCUFhI9U9rdC1OIM4mvzIwCSy2QQgAtEmOwtMOVi6FBWsRGqyVMyYSBiYUaKQSC3P/t6dGx7dPiUJ6vH8uCvAV/BQJQKUVjlOO2iANjJavu66Y/Frd5n7kXx4d1Q6Xiipwe5901fV3DWiOFX+ew59n8uTrpKrBsTbDS9EcyqEAcyirQP5dCFHtfBEG5/Xn0ozJ/Pnz5T0/pJ/27dvLt5eVlWHWrFlISEhAZGQkxo8fj+zsbFc2gQCUVhodXq8sieyKya/O5p6Qf0qwzCtxtGnfG3f2xC09GsuXpa0NbANc5QZzRIFGWc8HcJx5/tuINp5qTsBy+adIp06dkJWVJf9s2LBBvu3hhx/G999/j//9739Yt24dzp8/j1tuucXVTWjwSivMExFHd0rBrw8Pla8f3DpR/r02GRPbbwiDWifg7oHNEednFVSp7hrHhuHl27urlhQDQHSY+oOZqw8okB3JLlRddlRIkKvS6s/lOSedToeUlBS76/Pz8/HBBx/g008/xfDh5m26lyxZgg4dOmDLli3o37+/q5vSYEkZk/AQLdomR2Hp1D7YnJGLqYNa4Of95kJZocE1j0lth2zm39AJbZLdV1ODfNdDI9vghZVHMKSNOcgNYxVSakCOZRfi6nbWvbYqFftGRYXq8O5drOHjCi4PTI4dO4a0tDSEhoZiwIABWLhwIZo2bYqdO3eisrISI0eOlI9t3749mjZtis2bNzMwcSFpjkmoZehmWLskDGuXBJNJoEViBCoMJiRFhdb48Wy/FHDr7obrvqGt0DIxUt5bJ7EWey4R+TvbFY/lliXEGx8fzl2fXcilgUm/fv2wdOlStGvXDllZWViwYAGGDBmC/fv348KFCwgJCUFsbKzqPsnJybhw4YLjBwRQXl6O8vJy+XJBQYHTY8lMqsIZqVc/vUFBGnlopzbBhe2qHAYmDZc2SIPRna0ZUU52pUCXEBGCXMseYxkXrYGJEAKVlsAkmCsUXcqlgcl1110n/961a1f069cPzZo1w5dffomwsLpFkwsXLsSCBQtc1cQG4ewVc6XOtBj7rEhdqkfaDuUwMCGl1JhQu0mBRIHi0+n98ddPdiLjYjHO55XK15+9UgphKW0Swqq8LuXW/2ZsbCzatm2L48ePIyUlBRUVFcjLy1Mdk52d7XBOimTevHnIz8+XfzIzM93Z5IBwNs9cVrxxnGvW0tsGIjpWfCUFUf2mq0R+q11KFL68bwAA8z5R5QbzHL7xb2+Sj+F2Aa7l1v9mUVERMjIykJqail69eiE4OBhr1qyRbz9y5AjOnDmDAQMGOH0MvV6P6Oho1Q9VLa/EPJSTEOmaVTO226wzLiElAUYmFNjiI0IgfT/Lt3y+SptZAgxMXM2lQzlz587FDTfcgGbNmuH8+fN48sknodVqMXHiRMTExGDatGmYM2cO4uPjER0djQcffBADBgzgxFcX2XIiF+/9cUIeyrGdY1JXtisvmDEhJRPjEgpwGo0GUaHByC+tREFZJZKi1cPknGPiWi4NTM6ePYuJEyciNzcXjRo1wuDBg7FlyxY0amRe171o0SIEBQVh/PjxKC8vx6hRo/DWW2+5sgkN2h3vblFdjnBRYBJus0sx55iQEouqUUMQHaazBCYG1fXdmsSwfo+LuTQw+fzzz6u8PTQ0FG+++SbefPNNV/5ZciIyxEUZEwYmVIU37uyJmf/diXnXt6/+YCI/FaUPBlCKAsvu2hEhWhRXGPHSbd2827AAxKL+AUR6o8iX9a4pfmU/lMPAhKy6p8diy99HeLsZRG4lVTkuKDOg3GCUP2sTIljLx9UYmPi5kgoDPt16Bu1SotAoSo/i3BL5Nkflkusi3CbzwowJETU00udgWYUROQXmia8huiDEhrOWj6sxMPFz9yzdji0nLttdf1Vb1+3XYDeUw/FUImpgpFol5UYTLhSY6/akRIdyfokbMDDxY2WVRodByecz+qNv83iX/R1lYKLR2FeCJSIKdMGWSd6VBpNcUDDFQRFLqj9Op/djqw9lO7w+LFjr0uAhnBu1EVEDJ2VMKowmXMg3l2RIZWDiFsyY+LHdZ/IcXq+vxc7BNaHMmLDKJxE1RCE685e9SoMJVyxF1lKiGZi4AzMmPsZoEnjy2/34bs/5ao89mOV4Q0O9zrUZDtapIKKGTpUxKTBnTDiU4x7MmPiY3w7n4KPNp/HR5tMY1y3N6XFCCKeBSYiLAwlO7iKihk4qO//6b8fl6ziU4x78KuxjDJZttAGgwmCyu72kwoCHPv8TLf/+k7wnzv4Fo/DWpJ7yMa4qRU9ERGaOvvAlcyjHLXgG8zExijXx2QVlSI9X7xD89A+H8M1u9TBPeLAW13RMxgNXt0bThHDEhHFdPRGRKzmqC8XAxD0YmPgY5eTSrHz7wOSzbWdUl8NDzCtwgqDB3FHtPNFEIqIG52Jhmd11rtrBndQ4lONjDIqtWrMsS9KqUlpprPYYIiKqn9yiCrvrXL3QgMwYmPgYo8k6r+R8njpCz7fMKVHi8l0iIve7XKwOTBpFcY8cd+FQjo8xGJ1nTDZmXPJ0c4iICMCca9vizve2YvKAZujTPB5tkiO93aSAxcDEx5gUKRDbjMn6YxcBAHf1b4ZygxFf7jjr0bYRETVUA1sl4s9/XYPY8GCWUHAzBiY+pqo5JvvPmeuWDGqdgAGtElFQasBNPRp7tH1ERA1VXAQnu3oCAxMfY1QEJgfOWwuoCSFwKrcYANCyUSRiwoKx+K5eHm8fERGRO3Hyq49RBiYA8PvhHADm1TeFZQYAQFpsmMfbFeJgDT8REZGr8WzjYww2gcm3u88h83IJSiusy4K9sdvv0nv6IDlaj/cm9/b43yYiooaDQzk+xjZj8s3u89h1Jg+fzegPwFwWOSjI8xOvBrZKxNa/j/T43yUiooaFGRMfY5sxAYAzl0tQZimkFsqdfomIKIDxLOdjTA4CEwDILzUXVwv1wjAOERGRpzAw8TGOMiYAkFdirjrIwISIiAIZAxMfoyxJr3TP0h0AgNBgPmVERBS4eJbzMUbHcYnsaHaRZxpCRETkBQxMfIyzjAkREVFDwMDExzibYyK5b2hLD7WEiIjI81jHxMdIq3LCQ7QoURRVA4B517XHfVe18kaziIiIPIIZEx8jZUxu652Oj6f1U93GoISIiAIdAxMfU24wzzEJDdZicJtEL7eGiIjIsxiY+Jhyg3n4Rs8Kr0RE1ADx7OdBBqMJl4rKqzymvNKcMdFb6pW0T4kCAETpOR2IiIgCHwMTD6g0mvD5tjMY9p+16P3MahzPKXR6rDSUo9eZK7y+/ZdeGNM1FZ/f198jbSUiIvImBiYe8N3u83h8xT6cvVIKAFix65zTY6WhHKnCa4vECLx5Z090Sotxf0OJiIi8jIGJBxzLUVdrTYrSOz3WNmNCRETUkDAw8YCUaHUgEm4zX0QIgbJKc6ZEnmPCya9ERNQA8eznASWV6kJpFQZ12fkPN55C+3+txNojOSjjqhwiImrA3Hb2e+6556DRaPDQQw/J1w0bNgwajUb1M3PmTHc1wWeU2VRwLVMEKkIIPP3DQQDAE98ewJ9n8gAA+mAO5RARUcPjljWo27dvxzvvvIOuXbva3TZ9+nQ89dRT8uXw8HB3NMGn2JaWL1dkTI5kW1fonLlcIv+eEh3q/oYRERH5GJdnTIqKijBp0iS89957iIuLs7s9PDwcKSkp8k90dLSrm+BzSiudByZrDuU4vE87S/0SIiKihsTlgcmsWbMwZswYjBw50uHtn3zyCRITE9G5c2fMmzcPJSUlDo+TlJeXo6CgQPXjb0ptMibf7zmPDzacBAAcOJ9vd/zg1ixFT0REDZNLh3I+//xz7Nq1C9u3b3d4+5133olmzZohLS0Ne/fuxWOPPYYjR45gxYoVTh9z4cKFWLBggSub6XFSxiQmLBj5pZU4eakYT/9wEFe3a4TjlqXELRMjcOJSMQAgMTLEa20lIiLyJpcFJpmZmZg9ezZWrVqF0FDH8yNmzJgh/96lSxekpqZixIgRyMjIQKtWjnfOnTdvHubMmSNfLigoQHp6uqua7RHSHJOEiBDkl1aqrs/KLwMAdEiLlgOT3s3jPd9IIiIiH+CyoZydO3ciJycHPXv2hE6ng06nw7p16/Daa69Bp9PBaDTa3adfv34AgOPHjzt9XL1ej+joaNWPv5GGcpomqCf6XioqR2GZAQAQH27Nkgxvn+S5xhEREfkQl2VMRowYgX379qmumzp1Ktq3b4/HHnsMWq398tfdu3cDAFJTU13VDJ8kDeU0T4gAcFG+/pQlQxIWrEVipLUIW1psmEfbR0RE5CtcFphERUWhc+fOqusiIiKQkJCAzp07IyMjA59++imuv/56JCQkYO/evXj44YcxdOhQh8uKA0lJhTkr0jFVne05l2feOyc+IgTThrTA+bxSTOjdxOPtIyIi8hUeKy8aEhKC1atX49prr0X79u3xyCOPYPz48fj+++891QS3yy+tdLhzcJmlzHy7lCi8N7m3fL0UmESF6hCp1+H5W7tyfgkRETVobimwJlm7dq38e3p6OtatW+fOP+d1497YgNO5JVg95yq0ToqUr5cyJmEhWlzTMRlju6bih71Z+GnfBQDApaIKr7SXiIjI13BDFhcpLKvE6VxzTZaRL6/DMUtF17JKozzBNdKyeV+IzT44l4rKPdhSIiIi38XAxEWU5eQBYNanuwAAu85cgcEkkBSlR2qMZRm18HTriIiI/INbh3Iaklyb4Zij2ebCaVsycgEAA1olQKPRAFDHJW2TI/HY6PYeaSMREZGvY2DiAjtPX8bkD7fZXb/mUDbWHbsEABjQMkG+XghraPLrw1e5v4FERER+goGJC7y86qjD66d9tEP+fWAr6/43HMkhIiJyjHNM6qnCYMLeTPNGfE3iwnBHH8fl8tPjrUXTBCMTIiIihxiY1NPWk7koLDcgMVKPtXOHYeEtXeyOual7mjy/BAC6pcd6sIVERET+g0M59ZRdYF7q2yE1CjqtOc67oVsavt9zXj6mZaNI1X0mD2gGg9GEIW0aea6hREREfoAZk3rKKzGvxolTbMLXITVKdUxosPrfHKwNwn1XtULHNP/bkJCIiMidGJjUU15JJQAgLjxYvu5CfpnqmNBg+w0MiYiIyB4Dk3rIL63EMcveODGKjMmEXuoJsMFa/puJiIhqgmfMOsovrUS3Bb/ilwPZAIB+Layb73VpEoM9T14rXy6pMHq8fURERP6IgUkdHc227iI8qHUCBrVOVN0eE2Yd2ikpN3isXURERP6MgUkdnc8rlX9/aUL3Ko9NlvbIISIioipxuXAdzf58t/x7ipPA4+Np/bDh+CXc3KOxh1pFRETk3xiYuNHgNokY3Cax+gOJiIgIAIdy6i2MS4GJiIhchoFJHSVH6wEAb9zZw8stISIiChwMTOpIA/PeN8nRnNhKRETkKgxM6qjCaAIAhOj4LyQiInIVTn6tJYPRhI+3nMblYvMeOXoGJkRERC7Ds2otfbEjE/O/Pyhf1us4+ZWIiMhVGJjU0u4zearLHMohIiJyHZ5Va0kfrP6XcSiHiIjIdTjHpIaKyg34fs95FJap971hxoSIiMh1GJjU0PzvDmD5zrOq61onRUIXpPFSi4iIiAIPA5Ma+m73edXlJVP7YEDLBGg0DEyIiIhcheMQNSTVLZH0SI9FKMvRExERuRQDk2pcKirHiJfWqq7TBWkQHRrsnQYREREFMAYm1dhyIhcZF4tV18VHhCCIc0uIiIhcjoFJNQxGYXdd0/hwL7SEiIgo8DEwqYbRZB+YTOrf1AstISIiCnwMTKrhKDAZ2zXNCy0hIiIKfFwuXA2jMAcmIzsk4ZFr2yE5OhTBWsZzRERE7sDApBpSxkQbpEGH1Ggvt4aIiCiw8at/NaTARBfEfxUREZG7ue1s+9xzz0Gj0eChhx6SrysrK8OsWbOQkJCAyMhIjB8/HtnZ2e5qgktIgQmXBxMREbmfWwKT7du345133kHXrl1V1z/88MP4/vvv8b///Q/r1q3D+fPnccstt7ijCS5jsswx0TIuISIicjuXByZFRUWYNGkS3nvvPcTFxcnX5+fn44MPPsDLL7+M4cOHo1evXliyZAk2bdqELVu2uLoZLmNgxoSIiMhjXB6YzJo1C2PGjMHIkSNV1+/cuROVlZWq69u3b4+mTZti8+bNTh+vvLwcBQUFqh9Pss4xYWBCRETkbi5dlfP5559j165d2L59u91tFy5cQEhICGJjY1XXJycn48KFC04fc+HChViwYIErm1krJsWqHCIiInIvl2VMMjMzMXv2bHzyyScIDQ111cNi3rx5yM/Pl38yMzNd9tg1IQ/laBiYEBERuZvLApOdO3ciJycHPXv2hE6ng06nw7p16/Daa69Bp9MhOTkZFRUVyMvLU90vOzsbKSkpTh9Xr9cjOjpa9eNJ8uRXZkyIiIjczmVDOSNGjMC+fftU102dOhXt27fHY489hvT0dAQHB2PNmjUYP348AODIkSM4c+YMBgwY4KpmuJyRQzlEREQe47LAJCoqCp07d1ZdFxERgYSEBPn6adOmYc6cOYiPj0d0dDQefPBBDBgwAP3793dVM1xODkw4lENEROR2Hi1Jv2jRIgQFBWH8+PEoLy/HqFGj8NZbb3myCbXGjAkREZHnuDUwWbt2repyaGgo3nzzTbz55pvu/LMuZeQcEyIiIo/hBjDV4HJhIiIiz2FgUg0uFyYiIvIcBibV4HJhIiIiz2FgUg1OfiUiIvIcBibVMDAwISIi8hgGJtUwsY4JERGRxzAwsbHh2CV8v+e8fLlS2l1Yy8CEiIjI3TxaYM0f/OWDrQCAHk1j0SQuHCXlBgBARAj/VURERO7GjIlCpdEk/365uAIAUFxhBACE67VeaRMREVFDwsBEocQShADWya4lFZaMiZ4ZEyIiIndjYKJQqghMJCXl5us4lENEROR+PNta3PbOZmw7eVm+XGEwD+sUWzIm4SEcyiEiInI3ZkwsyirV2ZJKo0BWfimyC8oBAFGhjOGIiIjcjWdbi/S4cOw9my9fXrn/AvJLKwEAXRrHoGl8uLeaRkRE1GAwMLFoEhemuvzhxpPy73NHtYOGBdaIiIjcjkM5Fk2cZETap0RhaJtED7eGiIioYWJgYmGbMZFc1bYRsyVEREQewsDEIj3OccZEr+O/iIiIyFN41rVwljExCuHhlhARETVcDEwsQoMd1ykxmBiYEBEReQoDEydCg83/mqFtGnm5JURERA0Hlws70LJRBD6b3h8ZF4swsBVX5BAREXkKMyYKS+7ug7bJkXj5tu5Ijg5lUEJERORhzJgoXN0+CVe3T/J2M4iIiBosZkyIiIjIZzAwISIiIp/BwISIiIh8BgMTIiIi8hkMTIiIiMhnMDAhIiIin8HAhIiIiHwGAxMiIiLyGQxMiIiIyGcwMCEiIiKfwcCEiIiIfAYDEyIiIvIZfreJnxACAFBQUODllhAREVFNSedt6TzujN8FJoWFhQCA9PR0L7eEiIiIaquwsBAxMTFOb9eI6kIXH2MymXD+/HlERUVBo9G47HELCgqQnp6OzMxMREdHu+xxfUWg9w8I/D4Gev+AwO9joPcPCPw+sn91J4RAYWEh0tLSEBTkfCaJ32VMgoKC0KRJE7c9fnR0dEC+2CSB3j8g8PsY6P0DAr+Pgd4/IPD7yP7VTVWZEgknvxIREZHPYGBCREREPoOBiYVer8eTTz4JvV7v7aa4RaD3Dwj8PgZ6/4DA72Og9w8I/D6yf+7nd5NfiYiIKHAxY0JEREQ+g4EJERER+QwGJkREROQzGJgQERGRz2BgEkAuXrxY7R4E5NsyMzNhNBq93QyqI74H/R/fg97XIAITg8EAwFzOPhCdOnUK119/PWbOnAmNRhNw/SwvL/d2E9zu5MmTuOGGGzBx4kTk5+cH3MmN70H/F+jvw0B/DwL+8xwGfGAye/ZsjBkzBgCqrM3vj4QQuO+++9CmTRvs3bsX69evR3l5eUD18+GHH8bw4cORnZ3t7aa4hRACM2fORJs2bZCRkYEdO3YAgEv3gfI2vgf9XyC/DxvCexDwr+cwsN49CocOHcKYMWPw7bffYtWqVfjkk08ABM43tpdeegmxsbHYvXs3tm/fjsWLF6NRo0bYv3+/t5vmEhkZGbjpppuwcuVKbN68GUuXLvV2k1zuxRdflJ/Dbdu24fPPP0fz5s2xceNGbzfNJfge9H+B/j4M9Pcg4J/PYUAHJqmpqViyZAlmz56NuXPnorKyMiC+yRQXF2PVqlV45ZVXsHXrVnTv3h1NmzbF0aNH5fSjv3/4nz17FmlpaXj//ffx4osv4tlnn8Xx48e93SyX2rhxIxYtWoQtW7agZ8+eiIyMxPnz5+Xnzt+fQ74H/fv5AwL/fRjo70HAT59DESCMRqPq8qVLl8TBgweFEEKcPHlSpKWliccff9zhsf7Ats0mk0l1W25urmjfvr147rnnPN00l6isrFRdzsvLE8ePHxdCmPvavn17MWXKFC+0zHVs+6h8Dg0GgxBCiJ49e4rZs2d7slkuw/egf78HhQj892GgvweFCIzn0P+/ugB46qmnMG3aNDz99NPIzc0FACQkJKBDhw4AgPT0dMybNw8vv/wyzpw5g6CgIL+a2OSofxqNRp45Ln0DDQ8PR1FRkdfaWVdPPPEEbrvtNjz44IM4dOgQDAYDYmJi0KpVKwDmvr7wwgv4+OOP8ccff3i5tXVj20ej0ah6DrVaLUpKStCkSRNcuXLFbyapSfge9O/3IBD478NAfw8CgfMc+nVgkpmZiV69emH58uWIiIjAW2+9hdGjR2P58uUAIH/wabVa3HHHHejatStmz54NwD8mNlXXP+nD0GQyIT4+Hk2aNMGuXbsAwC8+9C9evIjBgwfjm2++Qbdu3fDrr79i4sSJeP311wGo+3DDDTfg2muvxT/+8Q+UlZV5q8m15qyPr732GgDrcyiEQHh4OFJSUnD06FHo9Xq/eA75HvTv9yAQ+O/DQH8PAgH4HHolT+MiS5cuFd27dxd5eXlCCCGKiorEuHHjxODBg8Xu3buFEOq01vfffy80Go1Yt26dEEKIX375RRw5csTzDa+hmvRPSj8KIcRTTz0lunfvLi5evOiV9tbWd999Jzp06CDOnDkjhBCirKxMPPTQQ6JFixZi48aNQgj187d//34RHBwsli1bJioqKsT3338vNmzY4JW211RN+mgwGOSU8scffyxSUlLE2bNnvdbm2uB70L/fg0IE/vsw0N+DQgTec+jXGZNTp04hODgYERERAICIiAg88sgj0Ov1eP755wEAOp1OjhZHjBiB22+/HVOmTEH//v1x0003IS8vz1vNr1ZN+qfVauX+RUVFobS0FEaj0S8i/ZycHBQVFSE5ORmAebvtmTNnonPnzpg7dy4A8/Mn6dSpEx544AE88sgj6NOnDyZMmICSkhKvtL2matJHrVYrH6/T6RAeHo6cnByvtLe2+B707/cgEPjvw0B/DwKB9xz6dWBSVlYGnU6negENHToU1113HQ4dOoTVq1cDsKaxzp07h9zcXJw+fRpdunRBdnY2+vbt65W210RN+yeNkY4ePRpHjx5Fdna2X6TJKyoqkJycjD179sjXtWvXDlOnTsW5c+fw5ZdfArDOjM/IyMDp06dx6dIl9OvXDzk5Objmmmu80vaaqmkfpedw5MiROHnypE+frJX4HvTv9yAQ+O/DQH8PAoH3HPplYCL9c6dMmYItW7Zg27ZtqttHjhwJvV6PnTt3AjCPIR45cgR33nknzp8/j3379uG9995DVFSUx9teE7XtnxQJ5+XlYfr06UhKSvLpb2tS28aMGYMTJ05g06ZNqKyslG/v1asXunfvjjVr1kAIgaCgIGRlZeH+++/HgQMHsG/fPrzzzjs++/wBte+j9BwWFRXhb3/7G1q3bu3TzyHfg/79HgQC/30YSO9BZ+0I2OfQg8NGtbJv3z6xfPly1fitRDlWNmHCBNGjRw+7Md1+/fqJBx98UL5cUFAgjwn7Alf2zxeXXh49elS8+OKL4vDhw3a3Kfs3a9Ys0axZM/Hnn3+qjrnlllvEHXfcIV8uKysTx44dc1t768KVffTF5/DYsWNiyJAhYtmyZUII9dLKQHgPurJ/vvj8CSFEVlaWOHfunCgpKRFCqOfDBML70JX989XnsKCgQPXadPY69dfn0BGfy5hUVFRg2rRp6Nq1K/78809VMSYp1abT6VBRUYHjx4/jP//5Dw4fPoxFixYhPz8fgHlfDr1ej7i4OPm+UVFR6Natm2c744A7+udLBauMRiNmzZqFLl264NChQ7h48aJ8m/QtVKfToaysDH/++SdeffVVGI1GvPHGGzh9+rTqsWJjY+Xf9Xo9Wrdu7ZE+VMcdffSl57CiogKTJ09G+/btsWHDBhw4cACAenmsv78HXd0/X3r+AKCyshL33XcfBgwYgBtuuAHXXXcdysvLodVq5W/U/vw+dEf/fPE5nDlzJq6//nrceuutWLZsGQDz61Tae8qfn8MqeTsyUnrttddEZGSkGDhwYJXfrF599VURHh4unn/+eSGEEO+++65o3bq1GDVqlPj222/Fww8/LFJTU8W2bds81fQaCfT+CSHECy+8IAYNGiS2bNmiul4Z5b/66qsiKipKzJ07VwghxPLly0Xfvn1F586dxfvvvy9mz54tEhMTxerVqz3a9poK5D4uXLhQhIeHi6FDh4qTJ0+KcePGycWYlN9G/fU1Guj9E0KIs2fPiv79+4urr75abNq0SXz00UeiZcuWquyVEP77Gg30/gkhREZGhujWrZu46qqrxHfffSemTp0qOnToIGbMmKE6zp/7WBWfCUzy8/NFXFycGD58uHzdoUOHxPHjx0VBQYEQwvzBP336dJGUlCT++9//qlJv33//vbj++uvFgAEDRO/eve1OGt4W6P0zmUyiqKhIDBgwQLz33ntCCCE2bdok3nnnHbF+/XpRWFgohBDi0UcfFXFxceLjjz9W9W/Pnj1i0qRJYtSoUWLAgAFi8+bNXulHVQK9j++//77o2rWr+PLLL+XrFixYIFq1aiVfLisrEzNnzvTL12ig90/y2WefiW7duomsrCz5usmTJ4t//vOf8uVHHnlExMfH+91rVIjA758QQrzxxhti2LBhori4WAhh/ux5++23hUajEV999ZUwGo3i8ccf98vPmZrwemCi/Jb54Ycfivj4ePHrr7+KCRMmiFatWonWrVuLvn37iiVLlgghhDh8+LDIz8+X72M7LnjhwgWPtLumAr1/SkePHhXJyckiMzNTzJkzR6SmpoqBAweKpKQkMXz4cFFcXCwuXrwoB2JCqP8/QghV331RIPZReo3l5ubatfU///mP6Ny5s6qk9dGjR/3qNRro/bP19ttvi/DwcPny+fPnRffu3cXLL78s/vjjDyGEEDk5OX71GlUK9P4JIcRDDz0kBg8eLISwtv2tt94SGo1G9OjRQ+Tm5oqcnBxVP/ytj1XxWmCydetWIYT6TW8ymUTfvn2FRqMR06ZNE+vWrRM//vijmDZtmkhNTRVr1qwRQgiHE0Z9TUPsX0lJiejUqZOYMmWKGD9+vDh48KDIzc0V+/btE7GxseKRRx6xe/P4skDvo9Q/R683qQ/r168XQUFBflVsShLo/RPC8Wt09+7dIi0tTfTt21eMHz9e6HQ6MWzYMDFixAgRFRUl5s+fLyoqKrzV5FoJ9P4J4biP//rXv8TIkSPFjz/+KF83adIk8dRTTwm9Xi+WLl0qhPCPc0VdeDww+frrr0VaWpqIj48XJ0+eFEKo/7k7duwQjz/+uLh06ZJ83cmTJ8XNN98srr/+ek83t9Yacv8uX74s7r33XhEVFSVuueUWYTQa5Tfbhx9+KGJiYuTZ874s0PvoqH/OViQcP35cNGvWTM7o+YNA758QjvuoXKFx8uRJsXLlStGxY0d51ZEQQnz66aciPDxcZGZmerrJtRLo/RPCcR/Ly8uFEEIcPHhQ3HzzzSImJkbcfvvtIjIyUvTt21ecO3dO3HHHHWLs2LFebLn7eXQa8ieffIJnn30WQ4cORceOHfHcc88BUFfd69mzJ/7xj38gISFBvq558+aIiIiAEALFxcWebHKtNPT+xcXFYfjw4QgJCYHRaFRt1NaxY0eEhITg0KFDXmt/TQR6H531z9mKhNDQUISEhKC0tNSTzayzQO8f4LyPysqezZs3x+XLl6HVanHXXXfJq8UGDBiAyspK7N271yttr4lA7x/gvI8hISEQQqBDhw549dVXsWjRIiQmJuLjjz/G1q1bkZaWhrKyMjRv3ty7HXAzjwQm0hK81q1bY8SIEXj++ecxbtw4rF27FmvXrlUdo9FoEBkZqbp/aWkpsrKy0KlTJ7k0tC9h/8xLMAFg3LhxuOuuu/Ddd99h9erV8gl9w4YN6N69O7p37+6NLlQr0PtYm9eoRAiBxo0bIzk5GVu2bAFgXQ7tawK9f0Dt+ygsBbWys7PlwOynn35Cz549fbLabqD3D6hdH9PT0zF16lS88cYbuPHGGwEAFy5cQGZmprxbcMByZzrm6NGjduPtUjpu//79Yty4carhC9tj8/LyxJkzZ8Q999wjOnToIHbu3OnO5tYa+6funzTcceLECTF58mQREREhbrnlFjFx4kQRHx8v3nnnHSGE/f/BmwK9j/V9jZpMJjF79mwxcOBAUVRU5P4G11Kg90+I2vdRGrZatWqVuOqqq0Tnzp3F4sWLxdSpU0V8fLxYtGiRx9peE4HePyHq/zo9deqUOHv2rJg0aZLo0aOHOH36tPsb7UVuCUy++OIL0bx5c9GuXTvRt29f8cEHH8i32a5S6dixo/jwww+FEOpx4J9//lncf//9IiEhQQwbNsynKtWxf2a2/VOOAQshxOLFi8Wjjz4qpk6d6rA6qjcFeh9d8RqVzJw5U9x///3y+LcvCPT+CeGa1+jGjRvFDTfcIEaNGiVuvPHGgHiN+kv/hHDN67SkpET885//FPHx8WLIkCHyCrJA5vLA5NdffxXNmzcXb775pli5cqWYM2eOCA4OFu+++648KVB6YZ09e1ZMmzZN9OnTR64BIX04nDp1Srz55ps+VxiG/au6f/4wGz7Q++iq/knZIV/rb6D3T4j697GsrEx+LKPRKPLy8jzfiSoEev+EcO3nzO7du8W6des83wkvcVlgIkV/CxYsEL169VL9U//617+K3r17ixUrVtjd74cffhC9e/cWTz75pNizZ48YM2aMOHPmjKua5TLsX836N3bsWJ/snxCB30f2z7/7J0Tg9zHQ+ydEw+iju7ls8qu0xffBgwfRqlUrBAcHy3sWPPPMMwgNDcW3336LCxcuALBO8Ln66qvRt29fPPXUU+jVqxcMBgOSkpJc1SyXYf9q1r/Kykqf7B8Q+H1k//y7f0Dg9zHQ+wc0jD66XV0jml9//VU8+OCDYtGiRXKBGCHMe0pERUXZpUnfffdd0bZtW7F27Vr52KKiIrFo0SKh1WrFsGHDxN69e+vaHJdj//y7f0IEfh/ZP//unxCB38dA758QDaOPnlbrwOT8+fNi7NixIikpSUyaNEl06dJFxMTEyE/IkSNHROPGjcW//vUvIYRQTShLSUlRzZg+cOCA6Nevn6pAjrexf/7dPyECv4/sn3/3T4jA72Og90+IhtFHb6lVYFJcXCymTJkibr/9dnHixAn5+r59+4q7775bCCFEQUGBeOaZZ0RYWJg8PiaNuV111VXi3nvvdVXbXY798+/+CRH4fWT//Lt/QgR+HwO9f0I0jD56U63mmISHh0Ov1+Puu+9GixYtYDAYAADXX389Dh06BCEEoqKicOedd6Jnz5647bbbcPr0aWg0Gpw5cwY5OTm46aab3DEi5RLsn3/3Dwj8PrJ//t0/IPD7GOj9AxpGH72qtpGMcoaxtNb6zjvvFNOnT1cdd/bsWdG6dWvRvHlzceutt4q0tDQxfPhwn9+Zk/0z89f+CRH4fWT/zPy1f0IEfh8DvX9CNIw+eotGCMtGH/UwePBgTJ8+HVOmTJFLOgcFBeH48ePYuXMntm7dim7dumHKlCn1DqS8gf3z7/4Bgd9H9s+/+wcEfh8DvX9Aw+ijR9Q3ssnIyBDJyclix44d8nW+VkGxPtg//xfofWT//F+g9zHQ+ydEw+ijp9S5jomwJFo2bNiAyMhI9OrVCwCwYMECzJ49Gzk5Oa6JnLyE/fPv/gGB30f2z7/7BwR+HwO9f0DD6KOn6ao/xDGpiMy2bdswfvx4rFq1CjNmzEBJSQn++9//+n1hGPbPv/sHBH4f2T//7h8Q+H0M9P4BDaOPHlefdEtpaalo3bq10Gg0Qq/Xi+eee66eCRzfwv75v0DvI/vn/wK9j4HePyEaRh89qd6TX6+55hq0adMGL7/8MkJDQ10VL/kM9s//BXof2T//F+h9DPT+AQ2jj55S78DEaDRCq9W6qj0+h/3zf4HeR/bP/wV6HwO9f0DD6KOnuGS5MBEREZEruGx3YSIiIqL6YmBCREREPoOBCREREfkMBiZERETkMxiYEBERkc9gYEJEREQ+g4EJERER+QwGJkTkUnfffTc0Gg00Gg2Cg4ORnJyMa665Bh9++KG8FXxNLF26FLGxse5rKBH5JAYmRORyo0ePRlZWFk6dOoWff/4ZV199NWbPno2xY8fCYDB4u3lE5MMYmBCRy+n1eqSkpKBx48bo2bMn/v73v+Pbb7/Fzz//jKVLlwIAXn75ZXTp0gURERFIT0/HX//6VxQVFQEA1q5di6lTpyI/P1/OvsyfPx8AUF5ejrlz56Jx48aIiIhAv379sHbtWu90lIhcjoEJEXnE8OHD0a1bN6xYsQIAEBQUhNdeew0HDhzARx99hN9++w3/93//BwAYOHAgXnnlFURHRyMrKwtZWVmYO3cuAOCBBx7A5s2b8fnnn2Pv3r2YMGECRo8ejWPHjnmtb0TkOtwrh4hc6u6770ZeXh6++eYbu9vuuOMO7N27FwcPHrS7bfny5Zg5cyYuXboEwDzH5KGHHkJeXp58zJkzZ9CyZUucOXMGaWlp8vUjR45E37598eyzz7q8P0TkWTpvN4CIGg4hBDQaDQBg9erVWLhwIQ4fPoyCggIYDAaUlZWhpKQE4eHhDu+/b98+GI1GtG3bVnV9eXk5EhIS3N5+InI/BiZE5DGHDh1CixYtcOrUKYwdOxb3338//v3vfyM+Ph4bNmzAtGnTUFFR4TQwKSoqglarxc6dO+22mI+MjPREF4jIzRiYEJFH/Pbbb9i3bx8efvhh7Ny5EyaTCS+99BKCgsxT3b788kvV8SEhITAajarrevToAaPRiJycHAwZMsRjbSciz2FgQkQuV15ejgsXLsBoNCI7OxsrV67EwoULMXbsWEyePBn79+9HZWUlXn/9ddxwww3YuHEjFi9erHqM5s2bo6ioCGvWrEG3bt0QHh6Otm3bYtKkSZg8eTJeeukl9OjRAxcvXsSaNWvQtWtXjBkzxks9JiJX4aocInK5lStXIjU1Fc2bN8fo0aPx+++/47XXXsO3334LrVaLbt264eWXX8bzzz+Pzp0745NPPsHChQtVjzFw4EDMnDkTt99+Oxo1aoQXXngBALBkyRJMnjwZjzzyCNq1a4ebbroJ27dvR9OmTb3RVSJyMa7KISIiIp/BjAkRERH5DAYmRERE5DMYmBAREZHPYGBCREREPoOBCREREfkMBiZERETkMxiYEBERkc9gYEJEREQ+g4EJERER+QwGJkREROQzGJgQERGRz2BgQkRERD7j/wFOd1J560jADgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "title=\"starbucks price\"\n",
    "y_label=\"Closing price (USD)\"\n",
    "x_label=\"closing date\"\n",
    "\n",
    "ax=df[\"Close\"].plot(title=title)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[\"Close\"][\"2017-01-01\":\"2018-03-01\"].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "51.2345"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"Close\"][\"2017-01-01\":\"2018-03-01\"].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(Close     5.123450e+01\n",
       " Volume    3.479177e+06\n",
       " dtype: float64,\n",
       " Close     6.249240e+01\n",
       " Volume    5.345479e+07\n",
       " dtype: float64)"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[\"2017-01-01\":\"2018-03-01\"].min(), df.loc[\"2017-01-01\":\"2018-03-01\"].max(), "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import dates\n",
    "df[\"Close\"][\"2017-01-01\":\"2018-03-01\"].plot()\n",
    "ax.xaxis.set_major_locator(dates.WeekdayLocator(byweekday=0))\n",
    "\n",
    "ax.xaxis.set_major_formatter(dates.DateFormatter(\"%a-%B-%d\"))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## rolling and expanding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "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>Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-01-02</th>\n",
       "      <td>38.0061</td>\n",
       "      <td>6906098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-05</th>\n",
       "      <td>37.2781</td>\n",
       "      <td>11623796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-06</th>\n",
       "      <td>36.9748</td>\n",
       "      <td>7664340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-07</th>\n",
       "      <td>37.8848</td>\n",
       "      <td>9732554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-08</th>\n",
       "      <td>38.4961</td>\n",
       "      <td>13170548</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Close    Volume\n",
       "Date                         \n",
       "2015-01-02  38.0061   6906098\n",
       "2015-01-05  37.2781  11623796\n",
       "2015-01-06  36.9748   7664340\n",
       "2015-01-07  37.8848   9732554\n",
       "2015-01-08  38.4961  13170548"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[\"Close\"].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "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>Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-01-02</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-05</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-06</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-07</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-08</th>\n",
       "      <td>37.72798</td>\n",
       "      <td>9819467.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Close     Volume\n",
       "Date                           \n",
       "2015-01-02       NaN        NaN\n",
       "2015-01-05       NaN        NaN\n",
       "2015-01-06       NaN        NaN\n",
       "2015-01-07       NaN        NaN\n",
       "2015-01-08  37.72798  9819467.2"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.rolling(window=5).mean().head()      "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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7vCY5dVj5XwA+9E+h3J5pbFBZ0FGmCd0IK8ck5DFpeY4JQE5KaHsJ5QiCIHRh3D6jw2tO5Vqo2E2tLYm5gXGU29ONDSrFYyK0PVYox3EAs3IAspNCwkSSXwVBELowtV6j6ibJY1TjlCb0w4ODUpvpManY11GmCd2IYPKran1VDkBeaij00xk8JvbmNxEEQRAawvKYJPiNxFePIxWAEk08JkL7EQrlHFhVzsgeKZw0Jp/UeAc2XYuucQdAVKXRrl27uPDCC8nMzCQ+Pp7Ro0fzww8/BNcrpbjjjjvIz88nPj6eWbNmsWHDhmiaIAiC0G5YHhOXzxAmXqchTIp1U5iIxyTIxoIK7vlgdbBLrhA9rORXxwGWC2uaxuPnT+DPZ4yOtmkHRNSESUlJCdOmTcPhcPDxxx+zevVq/v73v5Oenh7c5q9//SuPPPIITz31FIsWLSIxMZHjjjuO2lr5oQqC0PVw+wxhEuctBcDrSgNgW22CsUF1UQdY1Tk56ZFv+Ne3W7jr/VUdbUrMcbDlwp2NqIVy7r//fnr37s3zzz8fXNa/f//gY6UUDz/8MH/84x857bTTAHjppZfIzc3l3Xff5dxzz42WKYIgCO2C22uEcpyeUgDSs/JgHXy7W4ELqCk2rhpax7vHOxpLxK3ZU9HBlsQeVo6JQ1nlwq3LMelsRM1j8v7773PooYdy1llnkZOTw/jx43n22WeD67ds2cLevXuZNWtWcFlqaiqTJ0/mu+++a/R93W435eXlEf8EQRA6A9bF1lFjJL/m5PXGadcpUsnGBgEfuOWc5fWHWvOnJzg60JLYJNY8JlETJps3b+bJJ59k8ODBfPLJJ1x99dVcd911vPjiiwDs3WskgeXm5ka8Ljc3N7iuIe677z5SU1OD/3r37h0tk4UOxO3z897SXREtvQWhK+EPKDz+SGGiJWWTlxKHGyd+u1myWbW/sbfoNjw1d1Pwcd/MxA60JDaxPCYuZaZFOLv23zhqwiQQCDBhwgT+/Oc/M378eK644gouv/xynnrqqYN639tuu42ysrLgvx07dkTJYqEjGX77HK5/fSnnPrOwo00RhAOi1gzjAOimMCExJ1h6WZE0wFi2vXGPcHfh3wu3BR9LVCv6KEAnECZMkjrUnoMlasIkPz+fESNGRCwbPnw427dvByAvLw+Affsis9T37dsXXNcQLpeLlJSUiH9C16awwk3AdD1uLKjsWGME4QCp9hjCRNNAqyo0FiZmkZdiCJNNaYcby9Z93BHmdRoKKmopqAh5Rt1embgcbZRSxBPmfXYmdJwxUSBqwmTatGmsW7cuYtn69evp27cvYCTC5uXl8cUXXwTXl5eXs2jRIqZOnRotM4QuwJ6ymo42QRAOmmqP0Y4+0+FF81YZC5NCHpMf46YYyzZ9Bb7uG7LcXRpZdVkT5mkSooNSkID5d9b0Lp9jErWqnBtuuIHDDjuMP//5z5x99tl8//33PPPMMzzzzDOAUSf9m9/8hj/96U8MHjyY/v37c/vtt9OjRw9OP/30aJkhdAF2logwEbo+5TWGMOntKAc/xsXAmUSu6TFZ5usD9njwVkH5LsgY0IHWdhwl5gRmUPzB/gr9CjRQr0hMJ4oEFCRopvh1JHb5v23UhMnEiRN55513uO2227jnnnvo378/Dz/8MBdccEFwm9/97ndUVVVxxRVXUFpayuGHH86cOXOIi+va6k5oHTuKqzvaBEFolg37Kvhg+R6umD6AJFfkqfL9Zbu57rWfADhD/9oQJnmjQdPINz0meyo8kJQNpduNBNhuKkyKTWEyVtvE5fb/QTVQtAmyBnWsYTGEQpFIbCS+QpRb0p988smcfPLJja7XNI177rmHe+65J5ofK3Qx6npMajx+4p22iGUeX4A3ftjBkUOy6Z3RteOlQtfkzCcXUFHro7DCzX1nRnbE/HDZbgBSqOJ0z4egAYddBxD0mOwtq4XMHFOYFLar7Z0Jq/LuuNQdWNdOClaLMIkiAQXpmtkfJq7r52F2/LQeoduxsyTSYzL8jjl8YJ7oLR75YgN/fHclFzy3qD1NE4QgFbVGqOaLNfXbyqcnOAE4zraYFK0GsobCMOOmzMox2Vdei0rMMl7QTYVJrdfPOz/tAuCwlFDZtHfTvI4yKTZRiqHaTuNx1pCOtSUKiDAR2p0ddTwmd9hfIu6tC8EbWv7WEuMg2y5hH6GDKa0xmlZtLKjkwU/XUV7rxRswKkv6aAXGRv2PAN04neYku9A08AUUtU5zynA3FSa/f2cFa/dWkJbgYIRjT3C5vuGTUFcw4aAJKBiqma00ckd2rDFRQKYLC+3O7tKQABmi7eBS+xzjycIn4IibANhbLvOThI5DhV00rTTC0x77hiqPn+JqD16/sf743j7YA6T0DG7vsOlkJbkorHAzZ4uPMwBVWUjXTkdsPbVeP//90fCWPDO7L853VwTX2cp3QOFayBneUebFFEophupGaw5yRjS9cRdAPCZCu6KUCvZ/AJikrw0+9n39IGUF2+u9xup14vMHjLi9ILQxH60I3d277MZpssr83S7cXIzP7Pia7DbDPKm9Il6fmWiEelaUGv9Xl3S/KcNWbonTpjNx67PgrWKl6s+iwDBjg70rmnj1gVNY4ebtJTsjGuDFGst2lLJhX2jmkAr4Q6GcGPCYiDAR2hVrtgjAsLxkxmqhVtV2byWLn7s+2B/C4mdPLQDg8pd+YMp9X/DT9pL2MVbotsxdFwq92G0617z6Y/C5w6YHZ78k1pqCI8xjApBoVvEUqDQAbJWROVTdgaJKoxonI9GJtuYDAB5V57BHZRgbVBa0yede/K/vuenNZTz65YY2ef+OprjKw2mPf8sxD32NUgqvP0BC7V7iNQ9ezRET1V8iTIR2Jbzr478vHMY020oAXvIdA8B492I2F0ROHy2t9lJR6+Ur82Lxn8UylkBoW8I7leoaZK56gZcc9/Gs4+/0txcR8HkARYIlTFIjhYlVXrxDZQNgK6/vCYx1rDLhnol+qDTmoa3UhlBoijUq28aLtHqPMTTRCiPFGkVh88UOv/8rBv/hY9Zv3gJApS0ddFtjL+0ySI6J0K64fYZ71aZrZM+/E7RidqsM/u47i5/ZviZTq2DNlqX1XrdjZ+gks2SbeEyEtkMpxYqdpcHnA6qWcY/rxeDzYwovpkq5+MxxCLaA22iiltKwMNmucgBwVO0Fby04uk/Pps37jW64YxNKoASIT6fKncx+X6qxQRt5TCzCvbOxhBbWPG2Xma+3dtsucEKNLZH0jjIsiojHRGhXak2Picuuw9b5ANzmvZwykliuDBfkWx9/GvGaG+1vMOLlsRynLwZgg8zXEdqQnSU1lFR7g89PsH1fb5tEzc3pNiPEyPCTweaIXO8y7lpLSKZCmVOGS2PLa1Jc5WlyvMT6vYbnc2yy4cEgrS82TaNQWcKk5R6TbUVVvLVkZ4S3oC5LthUHm96B0QupvNbLFlMgxQqeBgRXMsb34Na7fnM1EGEitDOWxyTJrow23cDqgDFPaVsgFwiVYLrsOr8c6uY6+7sAPO18iJ50z7JLof3YUbfPjlnt8EavP/Brz7U87DuTgDLuWrcP+jmc/HC990hyWUJFY4fpNWHv8rYyud1RSjHh3s+Yet+XVLl99dZ/v6WYn3YYns0e1jGb1gdd1ygkzXjeihLqGX+fx81vLuOQP33eaOfom95YxvtmPyQnXhyaj2n3fcnRD8yNqWGhHn+kMNEJ8ITjHwDU2kSYCEKrsTwmfezFoAIoexxjhg4GYJPKB+BntnmkUIUvEODCkiciXv+p63f00bpfhYPQfpSbfUtS4uyAYri2DYBh46byYWAqD/t+xmmee7nW82s2H3o7uOqPmLfa0gN8HRhjPPjyT0Y4JwbYVx7yXITn44AxcuLsp79j/T5DDKR7jfwS0vpg1zX2Wx6Tir0t/jx/IFS+/d7S+rkjgYAKDgccpm3nO9ev+VBdx1iv4UGZvyF2bmjqekyO0xeja+bfR4uNS3ps7IXQZbA8Jn1140ShpfXhj6cY5W2v+49mRyCbPnohl9k/5n7bU/QrN8I3ZcpoS5+oufmD/RUCgQNrzrSvvJZPV+094Nc3RK3XH3HiFLo21nC+rGQXQ7UdpGrVeJWNzH6htvQr1AA+CByG095wouGonqnBx4/5TqPWlQklW4Lhy67O5sLGPRC7SiPDO8m1ZkVSWh90TaNYJRvPa0tb1GSt7rFV98K8fl8FY+/+NCiWLrd/RKZWQU9tPy86/sJwbVtMHZ/W/qfGO4jDzR8crwTXLUuZ0VFmRRURJkK7YnlMemuWe7cv/TIN0VFOEs/5TwTgevt/+ZntawAe8Z3OWPdznOm+C4Bj9CX4vQc2ofj4h7/min8v4eOVLb9ba4q1e8sZeecn3D9nbfMbC12C8lrDY5KV5OIqu1Hm+nlgAjnp9WeQ2G0Nn0KnDMjgluONfh2VJPCVe6ixYt/KNrC4/fj3wm2c8ug3fLk2lLjqrRNaCBcOdnykFy8znmQMwKZrlGPOvgr4wNN8/sf+OnkldZNa//jOSirCwkmnZIdss2mKafpKAjHUZdbjN27u0hMcHKsvoZe2n10qk5G1/+SHtOM62LroIMJEaFcsj0mWZibEJeeiaRqnj+sBwMpAv4jtVa9J/FM7E4Af1WAqVDy6pvAXborcroUnHiupccGm/c1s2TRef4BrX/uJ4x+ejz+geObrzfX6rwhdEyuU0ysxwCn6dwB8kXUhDpvOr4+OHDznsDXcz1XTNK4+amDw+U9eI4+Krd+2gcXtx+3vrmTFrjKe+2ZLcFldD0Z4zsnx+mKcNQWQmAP9p2PXNWpwEdDMgtDasmY/s25Txco6OS1FVSHhkk45jhKjf8kLvmMBOExfhS8WPSYJTkbrmwH4zH8IVcQzZUBmR5oWNUSYCO2K5TFJ1UxXcLzRbOmBs8aSEmdniRrCh/7J1CgngWPuRfvlZ0wZYpViaqwM9AfANu/PQTdwcZWHI/76Ffd9vKbJzw7P6M9Mch3Ufny1tqDe4MF7P1zNOz/t5OqXl/DNhoMTPkLHYXV4HRpXil0LUE4iN1x8DgA3HzeUf/3i0OC2PdLim3yv204wvCbzzTwTtf07CMRGGetgbSd/tP8bvXhjxPJw4XCx/RPjwaGXgN2FrmuAht9pep9aIkzqjKfYVVQOheuDx39ZTejzZtl+RFMBVqt+fBGYAMAM21ISq3a2dvc6LZbHKNFpo6dmnGc2q3x+e9xQzhzfs6mXdhlEmAjtiuUxScNsohZvVN3bbTr9shIBjV97r2eM7wX0acYYebse+pne67sQj7Lh2PA/2LMUgDd/2MHOkhqenre5yc8Oz8xvqOSuNTgacOG/9v0ObvjPMj5euZe/fbruoN5f6DiCXr1AEQBJ2X3oGSZADhuYxfQh2Vx91EByU5ruS3LUUKMiZ73qhVs50DyVRq5JI3SlXIi/OJ7ll/aPGfH2DCgKeTCtkRNZTg8T9fXGwkN+AYDN7MHhc1p5Js0Lk30RwkRx9fYb4fGJsPEL473ChN6xtiUAzNUn8X1gGF5l5ACN2fV6q/evs2IJE6ddJ9P0PBepVK45epAp/Lo+IkyEdsXymKQoU5gkZATXOcMu9i57qPdfWD8hVqt+zAuMM54seBSAOEcoAbGpE3t4/5OyGm+j27UEeyMufIB8ithTVNHoeqFzY3UnTvcbeVB6na6ucQ4bL106KZhD0hQp8cbv2I+Ntaq3sbCRsuH9lW4m/t/n/PHdtpkhc7CEJ4wnUMsheljL91XvBB9aHpPzBpvbx6dDihGqtZkXTq/DTA6uLW32c/eYoZwTRuXRk/1MtuZrbTPCYtaRqBNgmr4KgAW2ibhx8kvvzQCM3vMWlMZGx2jrpspp0xmbYfyt7//5UR1oUfQRYSK0Gz5/gN+/Y5x0M82TPkl5wfVOu97g4/BOhzZd49PAIcaTlW9DZSHJcSERUzdRLpxwj0ndOHVracjjkkMJt9v/zXdx13K394GYHiIWy9RaMXyvGY4zL6oHQl5KHMeOMPrzWGFItjRcmfPSd9sorvLw8sLO2YitMiyHaohWJzSyY1Hw4c4SIzG9v73YWJDWJ7jOEiY+Rys8JqYwGdUzlXF6yDOjdiyKqOoZoO0mgVpwJLDDbvyt5wXGsDAwHLvywvL/NPtZnRmPL8CSbSXB84rLYSPOY/SKSUrP7UjToo4IE6Hd+H6LeaJCkekxp7dm9A+uDw+PWHM2gIhx8XZd4x3/4aEFJVsjREJ5E56Q8DJGj+/gREN4JYJGgN/bX+H7uGu4zP4xACfYFuMplzyTrojbPPGneM3qjuQDFyaapvHMRYcya3guHwcmGQtXvg2++gLa38lzT8KPrUG60UvEKuNn+6Jg7syW/cYNwACHEQoLFyZ60GPS8hyTIvNckJ3sYoYt1NlV2/YtrHk/eOMyVjNDufljsTlCDe4+9xu5Jlbot6vyh3dWMPvJBfzpIyOXLoVqqLb+xr070LLoI8JEaDeKq40TzHBtO/GqGmxOSOsbXB/uJQknPGxq1zV82KnNn2gsKN8V4Zmw4tsNES4mDjbHJLxk8WR9IVfYP6q3jSrvfhNlYwHru01ym169lPyDfs9qj48FgZHsVelG+GL9J/W26eyVI+Hhz36aUW7/P/9kfLYEcJdBoXHBLDUr37J8VmO10DFuNw9mTys8JlbjtH7F3zDbZniblgSMpoz89ErwPa0KFXpMiAgLb1RmKK644dyepTtKmbNyT7N2dDRvLon0UvX2bTUeJOdDXGr9F3RhRJgI7YbVAOkM2zfGgiHHRww1a0yY1A3lAHiSzbuwbQuoCZtY3JQw8flDJ/6DHfBlCRuNADfa3wRgXaAXJ7n/jzUBwzbVis6WQufBEroJ7oP3mFgs2FREAJ13LW/fstfqbeP3dx1hckiS4f3cqHpQnG52tt1ulFZbx0ZCtdVYLSRMrORXj+Uxse74m8A6Vnvu+RyAV3wz+T/vBcbKnYvRlPF9nZRpioueE4xZXCa7lVFC6ytpOMfk9Me/5aqXf2TpjtJmbWkPAgHFFS/9wF8+bro30qhKc1ZT70ntYFX7IsJEaHM2FVYy9b4v+OuctYDiFJtxAmPMORHbhd/lPHXhIcHH4aEcK9xzzUrjjqlm8Us8MefH4Poab+O5I55WeEya64viNS8i+RTTX9+HV9k4w3MPq1R/dpqj7u0FnTOJUWga60IYZ3lMkvOa2Lp1vO0/wniw4VOo0ySws3tMrFDOhD5pTE0tBWCLymdfhum9XPAYuCtDfz+rRDcilGP8XxVvir2Src1+rhVaS6wycm+2Jo5huRqA15UONcUM967Gjo/MSrMCqMd4lu0MeWL2mMLE7ikDT1XEsR0eMg6fKN2RrNxdxqer9/HUvE1c9sJi3lpSv9TZiZfxRaaXdtTsdraw7RFhIrQ5t7y1nD1ltbh9ATIpJ18rRqHBwMj2yeHCZFBOaBhVQx6T+YHRbAj0JF7VMFMPCZMqdwtDOf7GhcmDn65jyn1f1GvsFM67Pxkx9r66Mbdnh8qmGsP7M0+NN/Zn/QeNvr6789z8zbyxuHNWSbh9AWz4cdaad/PJBx/K+ce54wDYoHoabveAD4q3sGFfRdAT0dlLhS0781zuYNhmverFTz3OhpReRhn0l/ea5dYKV4X5/YblP1il/+WJ/YwFRZE9UBrCEjoJlYYwKXb1woedbSnGzcto30qO1Jeh+92QkAkZA5jUL1TtV0FCcMLzwqXLOPRPn/OV2bk2vLX+psLOMYXYFha7/mJtATe/uazeNsfqP5DoKzG8eUNPak/z2gURJkKbs2p3efDxYDNpTkvvC86EiO3ChUNeaqhvhFYnx8RcyqLAMPM9d3KSvpCrbe9TW9u4mIgI5XgbFyaPfLmRfeVuHv58faPbfL/VcGVbk5C3KyMrfsawHD5nEn6l4SxY3qI7wu7GjuJq/vTRGn739vJOeTGu9frJogwNBbrduNgdJFY/E9AIpA8AYPem5Rzz0Nf87EnDJd/ZPSaWMJnqWwwBH0UJA9mpcvhwbRWc9ICx0er3cXsD5FCKzVMGmg0yQh1wreTX8gQzvFOyFfxNl+7Xev248OCsNkKjpfGG0Hl6t/F3PN/+JZfZjKRzxp0Pmsadp46IeI89yhAqT737JUVVHi55wZjBtSlMmLywYCuFFY1X9bUX3haE9IL5NMNPAZu96Y27ICJMhDYlfOonwCDNnAyaXb8HRFGYWzXJFdbHJGyb8Nkk68y+ECc7fuQhx+Pc4nidwxdeAY0knbbUY2JhJfE1RV9z0vE2c7R9WoKDcj2VH5Q5G6WLtyBvC8L/rgdbtt0WVLl95GpGGSZJeaH4w0EQH9Zrx5c9CoDdK41ZUBsKKql0++oNv+tsWMJkQo0hpFyjT0XXDJG+wmYKgYrdOH0VnG7lkWUPjcgjs24sKl3Z4EgwPEelTZdH13r9wRsAXKmoOKMp43v+aexRGeRrxRxmW214YQ+9FICRPVI5c0Ko/8xWZYTj7ra/yDAt9HnhLQTGaRu55Jm5EZ9d4/Fz2mPfcO+Hq5v9+0SLlrQZ6KGZ3rz0vk1v2EURYSK0KZv3R7pHg8Ika0i9bcPjveHoYS6T8PDKJ34jtt1X7cSpGQdzfsli+OdxEKh/cLcmxwSgwm2ciJVS/OzJBfS79SO+21QUEaMeqBkiaJt54nPadGyaxgqrZ0UjzbS6M+6wUu2myrs7iiq3j6G6GYao01ztQHHa9eBFuar3dAAG7HqPRAwxsmRbCV+vL4zKZ7UVljDpV2X8ppNGncRhA7MAeGZxcTBJeLRay7X2d40XTf11xHsEq3L8hDwpzYRz3L5AsAqIjP64TJHnwcEzvlAYwz/iTMgYEHx+6bRQK4KHfD9jn0qjr17A2847yaWYfeW1PDt/C8O07bzkuI93XXfwTPlVsPifwf4ory/ezrKdZfzzm4YretqChhLz656v8jWz9UJKbLSgr4sIE6FN2VRnPPrgpjwmjTRHCw/l5KSEZtwUkM7GQKhi4j3/YcaDsu0NTnGNrMpp/q6ksta4m1+3r4Ifthl30Bc8tzDoAbLh5yiXEe5ZFjBOiE67jq5rbDNDO5TFzoyOaGFN7wWoqO1cHpNAQFHl8XOC/r2xYNAxUXtvy2tS3OdYyBhIhlbJebYvAVi02bgDPlr/if5a5ytdLTEbv2VSRqK3GNAgdyRnHdoLgO1FVZQmGULjHNtckrUaAmn9YOx5Ee+TmeQEzEaImc0LE6UUtV5/0DNJxoCIfkev+Gfxjn8aX/tH4z/m3ojXjuqZylc3HwXAGtWXE9x/YX2gJ4mam3NtX7Hqb8exxvUL5rhuZbrNSFTvoRXDRzeyfsF7APywtaS1f6qDxt2Ax6Rup+q8oDA5+IqxzogIE6FNqaxz4bFyTBoSJjOGG+GQIblJEcvDhclNxw5h+pDs4PPfea/g+54X8+mYh7jB+ys2xo81VuzfQF3CQzktKRe2Lprh01IDyjhJOPHyuvNeXL5yiEtjuTJOsilxDmy6RoFKM15Qua/Zz+lOvLpoO5e+8EPwebhIaQ6lVMR3EQ28/gAVYTbUeP2kUMXhullRNeK0qH2WdVH+/btrcE+4DIBp+kpAUbh+EVvjzud559/4ynVT1D4zWjzypXE8BT1JGf3BmcDAbONY3VVaw1s7jMcn2Iz8DXqMrxcGy0k2wjr7yt2haqeqxhsRevwBAoowj8mAiHEQHhzc4L2Gi7y34Uitf5Hun5XIo+cZyejFpPC/wGQAbnC8zQzbUuK1kJf2XevGBhjy2cV8sXwbH61of5FY28C5qawm3JusyMEUTFFIzO6MiDAR2pSqsDbWKVSSo5UaT7Lrh3JuPWE4fzp9FK/8ckrE8vCqnDPG9+K5i0LTXX9UQ1g76kYq+x1LAJ1CzYg/q4o9+OrkkYQnlbUklGNdNMvriKvrX1/KZbaPQwPKTvgrt548hnG907h8+gB0TaPQEiYVIkzCsUYSWNQVrk1x85vLGX/vZ2wrik71xPwNhRxx/1cc+qfPWbfXmG1U5fYxWt+MU/Oj0vs3+Ds9UG461sg7WrSlmPf3GxeUo23L2Bp3AX8rvi5qn3OgWP0z7nivvrdxT6kRQh2qmcIkx8gp6Z+ViK7B/kpPMOfLQhs0s9775KVawqQWXGaTNU9lve0sysx8pEG6mTeWMSCies9C12h0gN2wvOTg49d9R+NXkdu96DuGW/q+zm+8v+ZaTyj0NP+jl4KP0xIctBd1PSbplGNf8s+gGEmnIhi6Jim2WtFbiDAR2pRwV/1xNvNOObVP6KQURpLLzoVT+pKd7IpYfv4kow/ClAFGZr3DpkWU1GUmukhPNO5G9/qNDohzFi7jiL9+RU1YwzXDY6L4rf11zlUfN9urxLK9brhh8Zb9XGq2nmf8z2HsOVx2eH/evWYaqfEObLoRZgKgcm/EPI/uyp6yGr5aV1BveW0rRgO8/eNOPL4A/4pSvP+xLzeyt9woY//vj0bIrcLto5c5Sl7LGhyVz7E4ZWwPrptpvOfvFjr4MTCo8Y074Dezdm8Fn67ex0vfbatXLWWFLwdYYSYzRyzRZWdwjnEsz/FP4jOz/XuRnoU2+mf1PiPXDMVGCBN35MBLpRT3fbyGJ+duorjaQ19tL5OswX29Jzc42bupgqaIURe2bE5JeYNSlUipSuTQ2ie503cJAwYY+/NB4DBe9Bnhu0trXiSdcp533M8V6s3GPyDKWN7cvJQ4hqX6eMt5N/0W3ckTzn8Yy83EbJWYDXZnu9nVnsRenZHQqbCqLhz4+I39bWPhpMtb9R6jeqay+A+zyDDFh6ZpJDhsVJjvnZ8WF+woudNnCJPakt3s8dby3eb9zBhm3FV4/QEGaru5xv6+8XzvlTjyRzb6udYJoqJOuOFofSnZmtnA6fAb6r3OpmkUKrNFtN8DNSURU5S7I1Pv+zLi+Yi8ZNbuLcPjdhsXpgaEqsV9H69hc1iPiZZUVLWELWGJ2V+sLeC2E4ezt6yWPlY+Q1hjsGhxxOAsHvliAwqdW72X82vHh6SOOJrbl6VTqFJZE2dUleCpAldS028WZcLFSKXbR2p8yEtgrQmGVDJDJcC9MxJYt6+CChK43HszfXz7ePHKo8h0hEr+LXJTwjwmTnP/6giTNXsqeHqeUQ77w9ZiLrZ9io6CwcdC1iActtZVyDjCusCeO6k3l07rz4wH/o4NPzeecTh2XWPqwEzuMzut/s13DjNtP9FHL2SB6zriNQ9Hq2XAs6363APFqsqZPCCDK7fey0DdEIOH6uvZGnc+T/lOBkCLYuO/zoYIE6FNsVz1w7Tt9NSKqNSSSJp0Ravfp64XxWnXwcyV7ZEaH8wf2eZNAR1yTbenUrBubwVr95bj9QdCZYeAb//GJoWJRXlNyGMyXtvAI47HAPgs6TSOCTtBW+i6hhsnPlcadnepkWfSzYVJXW5xP8KRcZ/BR8AXqXDd0gb/RoGACl6kQjTssm8Nbp+fgrCeFf7CDQSe/APDa/3k6Wb8PmvoQX9OXUb1CM00Wa96c53naladcRy9K39g+8b9uJUdl+YzWrW3szDx+EPeq/X7Klixs4xKt4+sJBcO00PZX7eEScjb0ys9UoCcMeNw+vcbQEPkmcJkf6UHnyPJuAC5yyO2CZ8Q/sXaAq53rjOejDsfAIe9dd+/I8y76rDppMY7KMZoiT+xXzqDc5MpqAhV+1WSwAPes3nY+UREDgpKRSa8tRHWDVGKVsOI2p/qrb/K/qHxIEbzS0CEidDGWMmKVtLcVucgRoX1NThQwsMr2cmuoKt5ly8VnIRyWYDjHv46+LiPLSRMApWhpDulFP9ZvIMxvdIiPqfW6w9WC80clsO1m/9IklbLt/6R/C/vKhqq2bDCTN64LFOYFEDO8APc065PoI6fPZVKjqz5LLSgtgy2fA0jTw8uWrmrjC/XFnDupPpTU+u+34EQntsyUtvCy8770PdVkgFkWDfY+WMP+nPqEu+0RTw/bVwPEl12XvnlFNbvq2D747lG5dq+le3eo6IyrGvyWU99F7FueH4KaVQEw1zhwuTIIdm8sGBr8PnFh/Vr9DPSE0Khh/fWVjAbwB2ZYxIZOlWh8FG2cQzZG8klaYzwUI6uQUqYJ8gKAacnOHHa9KA3bm5gLB5lC+VyAPhqoQEvULSxhEm+39jv/SqFp1Ou4w8Vf4rcML1fm9vSUUiOidCmWOEWK2lul6NfVN433J1v0zUSnTacNp0d5pyaftpecinm3wu3RbxujL4p+NhfGRogNmflXm797wpOfMSYXnqn/UU+c/6Wqk0LKTSFyfSeGuPMjovXe3/NgPxsGsIKK3njTA9ACwaVxTJv/xheMq24yR6K19fazWFu2yMvhCc/+g0PfraeKX/+IrjsKH0pHztvZWD5woO2yQoxJjptXG3/gHTNuDjuURl4lY2irEOh18SD/pzmuOe0UcHHdl1jccBMtt1+8PvYWqqbqHhas6eMPzn+ZTzJHR3RDffoYTn8whQjw/NTgiHXhghPUP3PslLjQZ1QTmGY9yKbUpK0WtB0oxIIqA3r2pxYR+g1hKPOcFCbrvHq5ZP558WHkpVkeGIdNp1Fvw8l65aSzGXe3/JLz00ErGTZ2kjPTlthJb/m+YwKxq0qj2cLRzCp9vHIDTPqe2tjBfGYCBEEAorvtxYzskcKyXEHl4m+t6yWz1Yb8XpLmOx29m/qJQeMpmmkJzrYWZ5DRe5Ekvct5gL75zy4LjI8MFFbF3oSVsobPvQrjQousRtj6dV/Tsab9woAAwOGKNkSyGU/qRzSL71BW6yTr9clwgSIaE51mL6Ki+yfEUDjSs8NnD4kk5PW/wF2LGrwtZZzZIC2mxecfwVAK3oDaH04MBzrrjwpzs4xti1QA2e572CxGoYdHwt+fmxUOr42RM+0eHaV1vDAWWMj8jh0TeOHwFDO56sOESZ1u/A68XKJbQ5VxLFbZXKyzfyOjrmrXkjjjpNHMKFvOiPyU1r8eVWY3gd3BYGAYktRFQOyEiNCbFZ+BWl9wW6IiOqwSr/MJBdVxdVNfo4jrLzY+j1ZjeHCSa8jqOYHjKnJlcSRQo0Rckpu+yoYy2OS7Q0JE4BCUiM3HHp8m9vSUYjHRIjg1e+3c+4zC7nsxR+a37gZfv1qaLjeEN24a24rYQIhN/GGfsZI9PNtX+IklLiaTQl99FB3TdeOb4KPw8+zo/XQhVRTAcaWfApArxqjPHiVMvZhXO+0Bu0IekxcVmVO/WqUaKOUYsm2kk7Z4r13Rmgm0gzdiJkvzzyRzwKHsj3eDHHtW9XoHelgbSf/c94WfN6jdmODnX0BHv1iAz//56Jm/w7W+lxnLa4aQ6CuUUaya8/MFHJS285l/841h/HsRYdy5vjIrp2aRmiUwe6fwNv43Ke2ILxHTAqVfOy8ldscr/Enx/P8y2nMwinLOwwG1i8D1nWNU8f2YFBO83kxd5xslBonJqcZC9wVvLt0FzP/Po8//29NhDAJ9pPJHxNcVh1WaZcS3/y9dXh5cUvaBNSlAvP3624nj4lZqZbtNlrnbwkYwkShc4f3YrYEcll42DMSyhG6D9bd7fdbig/6vaxuqUlUB0vc9sX1O+j3DSe8v4AlTC7+LodSlUiWVh5qgY+R1Q6whyx8SsdVvDY4ZC8QVp45xOrVYHJ47dcM07bTe/VTAPwYMEo+E5wNnxQtj0llilluum3Bge5ei/lg+R5mP7mAUXd+0mwZdHuTG9atd6puVFTsSDcaXe3Tc1EZA4zqpY9/B1Cvidps23ziNG+wy2+KvwRW1C/f/Gz1Pv7+2Xrmb9gfnB7bGJbHZIjd2E4l5VNpXoD6hAmptiAnOY5jRuTW67uhaxrbVQ5VygUBL5TvauQd2oaqsAv+ibbvQ96KMAon/e6gE0CPHGqEQPd6TA+Ft4onvzQ8mc/O3xIcpHeKvoBf2YwKOoafGrIzLBcm3OPUGOF9kFoyh6YuFcr8PbRTKMcKVWXUbAVgowo1jnvJfxxHex6itMf0drGloxBhIkSwvw2ma2ZoZvMq5eLwkQ1n67eW/lmJAJw+LnTXaWXWV3hgp5lrEhzGBkzUjZPfd/ZJLDYnE7Pe8IaUVoU8K0M1w7vzqm8GACPZxBzXrdg8FSwJDOZV/4wmGy5ZN2iFPY40Hmz/DmpKD2Q3W8yri0K5NK9+3/RQtPZEKRUUAalUMtwcoLYvcxIAL3y3jWurf4nSdFj2GmxfFDHhdfaEXsxMNl7zlP8U/uI911ix6KmIzymoqOWWt0NziVbuKqMprHH3Q51mz5KM/kzokwbA2YfWT7htPzT2YeZvtLMwCfcyWaHXb7LO5kj3g3zpH8fDvjOh5yEH/TmJpqDf7wmFTsbmho6nH7eVMEtfwqPOx9A1hcoZAUNPCK6v8YbsTHa1Ltxc0wph8vwlE/nzGaOpCIac2s9johEgvdq4Sdyo6s/DaaiXSywR1b2766670DQt4t+wYaHW40cddVS99VdddVU0TRAOkoo2CAVkYAgTPTGLnx3SKyrv+covJ3PvaSO55fjQ7yv8YN2rjDCKNVPiMH0ll9rnALDGMZxlyhRIpsekqCp0MbTa5s8PjGaRbULE564dfztuzcVTFzZ+grZCOdUJvY1GVMoPm786kN1sMeFzgP793bYmtmw/Cipqmfh/X/DeUqNr5xR9Dbqm2Kr1ZPTQUEfVD0v7UdrzaOPJ3uVBV37fzAT+fvZY+vmN/VkT6MtnAfPvXhRKYgb4x+cbIoZAbikoh3UfNzpperE5A2Vckilg0vvxwqWTeP6SiZw8pmPKMC0Pyl5l5iY1YntbEe6pGmKK82nTjqTQ0ZNLvb/jYd/PiG+lEGgIqzKpOmBH2Qxx4vKH8kQq3D5OsxlTub/2j0a7Yi44E4PrZ08wziHjeqcF2/y3lPDE2eY4emgOM4fntLvHxO0N0FMrwuGvQen20NytMOwxLkyinvw6cuRIPv/889AH2CM/4vLLL+eee+4JPk9IaFu3qdAxBAIKh03D61fcelQ2fAfxqdlGvV4U6JEWz8+n9otYFu6y3aGMuTv9tL3kUMKrzj8H1611jGCYMt3UVUbOyf7K0EUtx/Sy7FaZXF51NWfZ5nKW8zuGHXMp5089ldNO9JPkavzQsS4w/oCCPlNg/3ooXH/A+9ocGwtCQwYBtkapZfvB8u3G/RE9KayLzXzvcH4+IJN3r5nG6Y8bywrs+Uav3NJtFMYZr8lJdoG7AoenFICfHXMEf/3UnIHkLje8UPFpQGifzxjfk3d+2slpm++CrQuMJl7nvQ79jwjaYeTjGIK1v93MOUrvR0qcg6OH5kT979BSrENjL5YwaedQTliIZIhZ3q/lDCc3pSLYjC7B0XwVTHPEh72Hciah1RTjry0DjPwUJ16OMHNLHvOdznR7ZA+jM8b3pF9WIkNzk6n2+FmwqagVNzytC3NqWniOSUXTG0eJWp+fy2z/Mz4/fxy+TfXPNY4onUc7K1GXXXa7nby8vOC/rKzI7OeEhISI9SkpTWdxu91uysvLI/4JnZePV+wJtpL2+hWaBodmmEl8ifUz4aNJ+PA/a27HcG07f3U8E7HdflsuRcr83QWFiXUBVeSaXV0LVRrlJPJP/0nclP4IHHYtmqY1KUog5DEJKAWJZklxdeODyg6W5+aHknVzKeYP6jlqfnilzT6vpYQnGk7S1nCi7Xv8SuO1gJE8Oa53WrDMdHvA/DuVbg+G5LKTXSGvgSuVtPQMaoijUje7xFaEciCsviRje6Vypj6fk3Qzr8dTCd88FGHXpsIqSqq9uOw6GTWmd6kTJBJqZuO4PR3sMcmkjGzNPM9mD4sIW9btw3IgOO16sBdJwFG/++t0fTlpWhWVzmyu+vn59V6vaRoT+qST6LKTneziq5uP4pqjm2jvD9x96kjyU+O47cTW9RPS0KhU7RvK0WuKudBm3tzP+APf3TaDGcNyePKCkPdWa4dGbx1J1IXJhg0b6NGjBwMGDOCCCy5g+/bIePcrr7xCVlYWo0aN4rbbbqO6uulSr/vuu4/U1NTgv969OzL+KzTH1a/8yP1z1vI/cypnVpIL+26zOidvTBOvPHhuN7P9AdYGjAqL6bYVHGVbBhjhnZs8V2HTYb9VeldhdLIsMj0mDxyfix3jBO2OC/VqqNt5tilCHhNC/R7asGR4Z0kNAKO1zXzruo6f2z/HMee34O/YCp2S6lDezuVpxsTZN/1H8tRNvwgut3KF1rvNCqbS7cEck5zkONhpTqpN7YnNLN8t18zvLuxvaoUgp3gW8KDTyD9ZYiYps2tJxOwZy1tyVA8f+s7vjYW9QoMhOwrrJnh3wPzNlO1sfOM2oLjaOAZuGGt4TjwpfcCZSFpYgqnLHp1LhiVw/KYw8VWHLvqnm561pEPOYcaI+hODD4SLD+vHd7fNDE5DboyTzDDe1AHGd6BrUG56TFRt03lL0SK9ahMOzU9tUm8YOIP81Hj+9YuJEVPVVSs9P12NqAqTyZMn88ILLzBnzhyefPJJtmzZwhFHHEFFhaGGzz//fF5++WW++uorbrvtNv79739z4YUXNvmet912G2VlZcF/O3bsaHJ7oeMIrwaxqnryU+Ngp1l63MYNq7KSXMEExvWqF14VeXc33f0wbwemo2tasDcAxZupdnuCSXGnBsyZLj3Gk5wYimtnJ7VcmFgekwc+XYfbKhluYrT7gXLLW8u56/1VbCuuAhSv9nwLu2Z4Key+KqN7aAdSagqTS6f1Z7zZmG5t6jT6ZIbCt5YwWVZpio2SrcEck7xEYO5fjOWjfxa8yy7XTW+XKUxqvf7gLJ28XUZH2WWBAfzCcwtu5YDa0oiclB/M/JILXd+ACkDfaRGzXzoMU5hsNxO3rfyn9kApxdo9hjiYmWn8fZz5RvO3tLBurdG6U7fCOT5TmLirjYu+Ax8zdfNGpoEhgG3N/bPH8LefjQnmkOmaRrkyzwNtKEzKa72c+cS3/O2TtaTWGoI0kB5ZKGAP68cS47okujkmJ5wQypweM2YMkydPpm/fvrzxxhtcdtllXHFFqCnS6NGjyc/PZ+bMmWzatImBAxs+MbhcLlyull8UhOhgO4AYZni54bYiwxPWL8kPW83JoO1wV2olwFYTxw3eX/GY89HgOg/GnZ+maexU2QQ0O7rfzfqNRt5CvAMcPz1vbDzlV6TNd4K5H1mt8JiUmHeeW/ZXMWeTl9OAQHURZz+5gFE9U7nr1Obn8zTHfxZv5z8/hET6AH0vyfuX4tccbPbnGAm8+1ZBj3HBbfwBxS+e/55dpTW8+sspwRH0bYU1/DAl3k5mwAiZ/e68EyO2sYTJotJUcAA1JXjLjW0PLf4IynZASk+Y8iv0dcaFoVw3RYwp9l4O6+4bX24IoCd8p1FBAmtVb8Zqm6FwDWQZ7v6fdpQCMMq91HjR6LOit9MHgW5e9LdayY4lWyEQaLNGb+HsKq2hvNZHos1L7nozDGh6OFtSkttaEkyPiddufP/xgSo0DU7v6yV+r4cq5SIxf1zUP7c5klx2zgqrytLCPSY1ZVGY0tQwby/ZyY/bS/lxeyk32/eAHfTMSGHiCPsdxLguadty4bS0NIYMGcLGjRsbXD95stHLoLH1QvuhlOK5+aFhaS1p9VyX8Pkj281ujKP1zYCC1D6Q1PaJhc4wV/OHgakc4/4rqwJ9udRzc3C5TYMAOh7Tm/GHl+cCkOAtQ6vYA2gw4jTSw2LrrfGYHBrWEXZTtfE6T3khP2wriZgpcjDc8vaKiOfnJBulsoVpY/ja7FhZ12OysaCS+Rv2s7mwis9W742KHU1hVUAk6R60GuMuPCErMhTbMy2erCQXZX4nRXbjgty3YgkAvUrMMMvEX4IjPugxKdPMHJNqwytnCUFQOEuNc8keZx8G5SQFRxRQGgopW56cxFozRyUrVCHUkVgXvd0qC6XbjdksFfV7ibQFq3cb3pKrUxai718LiTlgDttsi74uVtt6K18ogwpyk+PoHTDyarapvHYZmNccmqaFqnLcbeMxKavxRojrvuZ0a2d2pDCp2/cmlmlTYVJZWcmmTZvIz2+4/G7p0qUAja4X2o+lO0r500drgs+tGHBBeS2XvrCYT1c1fyGrdIdyCspqjMf9fOYBl9+2+SUW4V0e81Pj2GHvw0me+/gyEEocs+5Mrc6s6WaflWDPk8RssLsi7hRH9Gh5q+27ThnJFdONk0pRwDjxOtzFtNV9TjalXOB5C4CdfU5nrZn4y55lEdut2xdKMAxvwd9W1JodLNP9Zi6IIxFckX9HXdd45NxxOG06r9ZOBeC88n/iwkNGsTlZtY+x3Ga6skuJDOVYQmN6rgfNUwW6nfdv/zmXTOvHTrM6K1yYGLNIFPYq8zedWr9PREdg/S792CDNyJGiKLo3bf5GBiCu2WP8NsbHmUJows8h0cizOH9yH2YMy+GuU0Y0+NoDoZ/pKdtnJvrmacX0SIvjkCpj4ObSQHT6HR0s4R6TtupF9O5Pu9hUGKqks5pC6pmNJ/SGNy2MRaIqTG6++WbmzZvH1q1bWbBgAWeccQY2m43zzjuPTZs2ce+997JkyRK2bt3K+++/z0UXXcT06dMZM6Z9LlpC42wPmzdxse0TbvY+A/tWccMbS/lybQFX/HtJs+8RORXUoHetGcbJHlZvXVsQ3stkTK/UYKWDRXqCI3gBcDtNYWL2WbHKhK15GOHx9EP6NjwXpyHsNp3BZmvu/64zKkxsAS+JGI8PpDNrrdfPPz7fwKbCynrrrrR/QJKqgh7j2T/oTBYHzLbm2xZE5CmEN89bZoYz2hK36TFJ9ZuflZTd4F3wYYOyOGxQJk/6TqU6Lpf8wD5+Z/8Pztr9YHNCj/FAaKpsSVCYGKEcK3H5okHm/mUMAJuD1HgHO5VZCRYmTGp9fjKoQPe7AQ2So5NgebDoYX8blW/sMyvfjtr7L9xcxKg7P6k32BJg837jd9VLN3OhLGEExDls/OsXE/nFtOiNk+idblzs5+wwjteh2k6OdK5lSpWR4/Wm/6iofdbBoGsau5Uh0LTSrRFJ1NHCqgjMSnIST22wh0x4GNbipUsn8cBZYxmUkxx1OzoTURUmO3fu5LzzzmPo0KGcffbZZGZmsnDhQrKzs3E6nXz++ecce+yxDBs2jJtuuonZs2fzwQcfRNME4QCx7qRGalu52/EiZ6lP4JmjqN3WvCCx2Fce2TXWiZf+xca0XgbOiJqtTRE+STQzyRVxHfzPFVP4/MYjgyF7jzPSY5JtlgmTVL+hUWs7LVrt6muIo0YZbusMswTT18hda1M8+/VmHvp8PTP/Pq/OGsVRuukZOfwGEuNcbFX5LLGPBxQsfi64ZXhnz42FlW0+V8ea+ZHsN8cbJDYeykuNd1BNHCt7ngPAZfaPjRU9JoDDyIWxkoqDoRwzx6S0xhAmfSrMpEkzNGMIEzOUU2yUVPsDCq9fka+ZXpykHLC3rklXmxH2W/VNuMR4sPwNqClpePtWctt/V1Dj9XP7u/WTomvM/LAUt+VFik4jxMbIMe/457qH4VM6U22ruX7njdjwszhpBr/++blt+vktRddgi8rHq2xo7oo26S1jHYenju3JGG0LNk2xT6VBSn3BPH1IdtSaVHZmopr8+vrrrze6rnfv3sybV/ekKnQWys3Qy+npW8Bynvg9XML7LOE6wLjQuOyN555c9XKkiDlEX4/LV2lckPpMaRO76xI+STQr0RnhL5kcLAG0PCZpQKhlfjamMDEvoAczcyYhLEenmGR6UkQGFewgF48v0GqhszHMU3LeM8bk2V/Y5nCD/S1StWrcuHD1n06i2S/sPW0mh/ATbPk6+LpwIaIUrNtbziF9I6cvRxNrLkmS17ywNpFjZIXNNsSPYVL4ikGhgXFWQva+YAOy3Tz8+XoWbi5msLaTQRvNxOWRZwCQFu9kdaAvPnTshWtg90/UZo4GoIclTBo4+XcU4SkEgd5Tjd4qJVth91IYePRBv39TA+w8fjMfqNYSJn0a3TYaWDlbG1Qv/uE7k5scb5krhjPxiteCYrSj0dDwYmezyjdGVRSsibpos/rH5Mb7uS7jFaiCfemH0PZzjDsvsd3XVmgx5WYYpr/NGGr2dWAsACfbFpJNKQBef+MXasvjkkIVp+nfkEVZqOyv3zTQD74xU0sIzzHJSnZFuMctgsLEERnKybSaSiUZd9n9s5qflNoYcWHdLUuUcYdveWYOZMJpeFO37zYXMUjbyV2Ol0jVDBX5upoF8enB7Vb5zAtu8dag+zk81NZLKyTzm7vgnavgp5dbbU9LsMa3J3hNEZCY3ei2ljCZX9mDCrOhVSC1Dxx6WXAbq1xyF1beyDb+8bkx/+jX9nfRA14YcjyMmh18zwLS+V9gmrH9gkeDYskaVUBK58gvgcjQoUILhVOqCht5ResITwyvK7rd3gApVOHwmQK4jfNuwqvc3vQfGVox4aJOI0ogFHncoEwxUrA66p9hddwdXvYNaVWb8SXkMvjCh6P+OV2JqLekF7omVgJhT2XcMf3PP5EJmT6SSlbxretaTvH8Hz5/wxfUvWW1nPrYNwDcan+N8+1fRm7QjuWY4Z6IzEQXDdX3WdntbqdRdmp5TLK0SI/JFdMHUFBRy/Gj8lptR7jHxOoym29eDD2N/B2bIry1O8AM3UgM3RjowZ98F1LRYxoXA4mmMFnvyTLKb91lRiggISPCY3KL/TX6bTA8Lyz/Dww/BeJSW21XU1giIN5jioAmPCa9zcqPOWtLqdGv42TbQn528T+CCZhAsMHarkCWkUjrreJIfRlzA+MZoJldUg/5RfBqkmpWVb3sPYpTXfNhx/fUmmKpt820qY1DFq0h3GPi8QdwJWQbd45REia+QOh3t7/SE9E00OMPhLxICZkRs2nagvAqt71kcqf3Ym4etJvk8Re06ee2FusmZl2gFyfbgIK1Uf8M67jMqzKKD+wjT8We1bYeq86OeEwE/vvjTl4xp9Pm+g1hsl3l8FLqlQA4NT9X2T9o1GPy3592BptiHa5HlrGW9jsBhp3UVqbXI0KYJDkb7DtgXQBqnMZFr7dmeImO6mnun3kBjXfa+L8zRnPE4Mbv9BsjMczDsVQZPXqusn3AKG3zAXlMasxEUqv742jdyJl4yz+dnAknc//ZRo+YJDO3pcJvR1lJncVGGbjVVyRNr+FIKy8FjCZjeyO/t2hglQu73M17TA4fFBpXMC8wlj/Zf42WEZlsaeWYeLHBxEsB+I39vwCMSDS9XWFCI9llR9NgszU2vmwnnywzfuc5ykzy7Ewek7Bf66wH5/HiMsN7oSoPXph4/QH2lNYGnx/38Ne8GdYHx+3z01MzP6cdxFrdTsov+o8jcM5rURfHB4vlMQn+hkq2NL7xAWKFcjIqzTlQeaOj/hldDREm3ZziKg83vrEMty9AGhWk1RrJXdtVLg+uz+Zczx8BOFxfic/f8MhwqzTYjo9eWmSH0+oxF7eh9fUJd1dnJbkaLPO17oIK040S4jHaFtIpJ8kXVi58kITPF3nNN4M9KoO+egEfuv5I0rw7W/1+lrdq9oSeuOx6MBSxTeXy15+NZZBZBZToCnlqfGn9jAemMLH6zNyaMocUrYZNgXy+9hsnQVVnWu/B4vMHgtN+E0tM93d641Udic5I521D84isv2lhhZs9I38JwDh9ExlaObaa+qEZXddIjXewnxQC9gRA8fIcIxk7PxjK6Tw5JuFRx8IKN4XKuEgXFRx8a/r9le5g0nUG5TzuuYN179wXXO/xhXlMUtt+7EdcnWGA8Q4bKfGdz4FvnSvKMD1I7vpVca2hoKKWOSv3RHifrT48KRWmMMk9+AaMXR0RJt0cS1QAXGX/AF352BM3iJ0qC19A8VNgEG7lMCpWGumpYM02yaUEXVO4lZ0rPb/hSs8N2AcffNLegZKV5OThc8ZzzqG9+ei6w4PLrZNNlSsHf84odE0xXV+OXm3eMUahEVz4fJG9ZHKm+27WmPN70pc9A5u+bOylDWJdVOy6zsR+GWSZibqp2ZEXVrtND84zcSf3NRaaFSmVbh9pVHCyz2jb/rBvdrBqxV8S3VEPHy7fQ6Xbx6j4YpwVO0C3N5kAXXc4XHJc/YtU74wEpgzIwBdQPPdTNX6nkbtzuMtsDOhIhPjIsm4jd0WjOtG42PYxm1f1d5SaG3SmUE6kf6/ImufURChnf6U72BwNjNyR17/fzspdZfy4vYQqtw+3z8+vXvkxuM1l9v8x1baaPzpegfkP8tHyPazfV0lP66aiHYRJXTISnZ1yMJ1lUZUy814OcpDfsQ99zVUv/8icsL5QxVUe0inHWWN+z9lDD+ozYgERJt2cqmDegeJc21cALBl0DdYh6cbJcmXc6ep7lzf4HvvNPhJWCeZelcEngUl8EphIsiv67aybIrzJW0qcg7zUOO7/2RhG9gi5iK1QTkCBu59RxjzL9mOwk2hTZa0txV6n6mYPmZzguY9/+2YZC6wZMC3EusOy2zRuPmZQsLT5ltnT621rXdSrk8w4tel+rqj18Tv76yT5SlkX6MWcwCR2mX0+AgVr6r3PgVJe6+U3/1kKwAU5W42FvSaCq/Fk4vCJs2B8dw1hTSP+en0hNfGGKJtiX2+sTO1Zr0+KlVRbGmd4UvpoBfSkkGy/IVCa8uK0N3Wvy/vN3CR7I5OpS6s9HPqnzznlsW/YXWoMclywqYhb/7uCkx/9hjOfWMCNbyxl3rpCftpeCoANPzPN/CQAvribP71qCNWgtzOt/YVJQ0K0M2B9JxVYE4YrGt+4GSpqvcFcvhVmg0N/QFFa42WI2VSNtD7giu0eJS1BhEk3xxIm2ZSSplWBpuPre1TENlZ3Rq2RE6SVu9DDdI/vwWxIpEGco31/YmdOMO6AR/VMabSFc7DDplKU9DwKgFNsC9FQoOmQ0FYltBpP+082Hu76ETxNT9YG2FRYyS1vLWfzfqMzpMOmMW7vWyRptXjsyaTn1++QaeW37CQ0qBAMj4k1aXnABQ+Tk5YcbF/v2PRpSJgdJNuLQvs13WWKhv71BVRdwr0mSY1cqHqkGReIwko3i4qNhNnxmAmJDeSLWMJkn90QMX21As62zzO+6/5HBpvpdQbqekysai6Hu+E+Jnd/YITI/AHFLlOY7CkL5ZFoBPhy1a4Ir+gf7S8zTN9BtXKxNWDs+9G2pSRSw3TdvPHIiV6H15bSUPVcZ0DTNDQNqsxKMTwHHsr5ZkPo/Gn9jkuqPSgFQ3TTY5kjYRwQYdLtseKbU5LN+HJ6P3IzIhPQyjQzT6Om/oWrotbLFvOiecMk42CzOiXada3d3bMT+qQz9+ajePGSSY1uY/XDUEqxsLbO3WFCZpuUNr911VQuntqXnSqbUlsmBLyw+8dmX3fO09/xnx92BO+0Emr2wmd3AOA87q4GSyutAYq3zzf+DxRt4rVF29BrioLi0dFvCv+7/ghWqP6sDPRD83uMZl5RoKjKE3zcw29Wy+SOavZ14ZVMjd1BW6KrtNob9PYM95nCpIGwjCVMdpolxv20vVyZYXoMJlzUrE3tSd0jxWqFbvNV1dt26Y5S3vkp1OzLapAWMMuAE6jlK+dNLHFdib/QEIe9tX1cYv8EgBu8v+INs7vqDP1HZtu+JkWrxp06wBBs7UB4i/vOPJROAyotj4nfAz53k9s3xudrCoKPrQR4y9N1itPsAZU/9oDtjCVEmHRzbnzDuINOrTazzTMH0yMtdLGz6Rq1jjQAdHM2STjnP7soeNFMMRNnrQtGY3M52pp+WYlkNjF0z9JKgYDi223VQZc5AEmtLw1ujBtmGR1I7zltJIf2y2BC33RAY63DPCHvXNzse1hhMouc3V8aw93yxsAhlzb52k2qB8qZhF69n0/e+zcjdKMiJZA+AFzJpMY7yEx08T+/KeJ2tbzLb1MUV5kVWoOy0KwqhvR+zb4uvJKpMWESnhRrCeAgDQgTK2F2ld/It5lmW0VcuWlTvyOatak9qavhK827dIevsl4r9IWbI4/FGq+fQECxaLMhPG/quYp++j5StBomrvo/4nBz9cBSAJYGBvJJYCJfBIy297NsP3GP40UA9EmXtcs0YyCqLe7bEl3TqCLsBuAAwznzN4RyhTz+AB5fgP/+uIvh2jYmqRWg2WD8hQdrbkwgwqSbU23eaQ3QrEmrg8lNibwLL9WNhEJHZf12zCt2hYbBJZYYeQrrAoYXooN0SbOEQjmwaHNxUEgB0HNCI69qPdfOGMSXNx3Jz6cYF8W0BKP1+UqM8mF2L23y9XX7xiRRTZ41kn7U7GYvILW4+FetkXx8tf0DxmlG5Y0eNlAxzmFjizKHaEapFLKkyhCq+XHe4KC9lgiTk0eHhnnWnXFkkRghTLIiVzYQgrA8Jos8fdkeyCYOU+jZ49pl2nVrqOtdtO7SbcpX7y49fO4RGD1jfvf2ct7+cScaAUZXfBNcN7ByCbfaX6Ofz/j+Vwb6AbBO9Q7NEjJxDJ4VlX1pLQfTZbmt0TWNADoBhzVluPXCxB9QwZYKYDQffHb+Zl5YsJVjdPOGYNiJHZLf0xkRYSIAcFiqGabJGhxRypeT7GKH3biwxpWsi3hN+MkknXJcBYb3ZalqfCpmZ8BKPdleVMWu0hp2E1YebE6yjcrn6BoDspOCFxxrfPzcCjMXoplQzsLNodCZRoBnHQ+SULYB4tJgbMtmiTznORaAyfpafuswQzX9QhVKLofOdmXmWRRHR5hUe4y8pV6YCaYJmRDX/HTm62YOZni+sd2ong1vnxD224y4qNrjGqz6sYRMQVWA8zx/pEgzq3ZGzW5woGBHE54WVaPVv0v3+AIopYIN93IoYYK2nooaLx+vMG4urrR9yCTPIgCe9J0CwC/snzK6+FMAVql+5ptqXOf5Na86f2Y0pjv5Ichpn2GbXQrzO1FmFdiBCJPKOgNOPb4ALy7YCsDxeeb79Tz0QC2MOTpnKrTQbmQlOdlf6Wag2mouMErVTh3bg6/WFfDvyyZxy8tuqAFX1W6oLQs2QXKHNQq7Km89WmkA8sawc+vB9wFpS6yk2J/MCbsqIQusnMG+0RMmdemflciI/BSW7elPwGlHL90O2xdBn8kAvLJoG394ZyWzhucGvxeLIdpOptpWE7C50C96D5JbFnLaQyabAvkM1PeEGRJKRI2z29imTM9B9X6oLW+RiGiKGqvtu9msr6WVL3abznvXTOOn7SWNTnPWdY0Ep41qj59Vqh9lGWNIzekDs+5u0AOSbAqTokoPHrK5K/VPPDqtFsaefwB71vbomhbME8lMiqfSE0eSVgt7l1Pa4whm/H0ecXad3WW1pFLJ+64/kqeV8OXSbVR5jsGua1yZuwaK4fnEy/hb0dGcZfuaLK2MZE8B2OP4snZ88PN+VEPwpUzk/FMOb8ykbk+wis+RhI19ByRMymu9Ec+3bN7Is+7byXSV06vITIrNGnywpsYM4jHpxuwormZ/pYdj9R9wVBeYI+bHAfCPc8ex6PczGZSTTK09mT1mZY5v76rg68Nbq/8y22yiNfyUdrP/QLFCOdbgwnWp5kk5vT+k9W3Tzz59fA8qSGBewjEA7PvgrqDn6Q/vGFNfP1+zj9cX7+DzNQUM0HbzJ/s/udQ2B4Dq3EMaHIcezhMXRIajzvf8AYCA0vgm+7zg9F0wqqYqScDtMiuRohDOqfEYv4tcK/G1BWEcC6ddZ/KAzHrl1uFY3X3dOCk+fw6c+wpkNeylszwm1m91X/xAmPhLcCa02Kb2JNyJk5XkYlnADPu9eg7fL/iC4ioPu83Km7sdL5CnGRU7M/Y9zwrXZRybuZ/0MiMZeHnSNALo3Oy9kkWBYezInQXnvcbLN5zOpH6hyrO4JgZzthedtVwYQmFF5TTL3Q+gMie8MsqBj0v33ctYfXNkQ0rxmAQRYdKN+WTVXuJw84DjaWPBxF+Cw4hra5pGgtmN027Tg3kj9/zzLT5bbbjo3d6QMNH3LDUeDDiqXWw/GKw7oCozv2Zj6hT4xUdw4dtt7t4fkW94m17STgcgq+A75izdVi/GHoebm+xv8KXrZi60f8E59rkAuPOaP3mdODqfL24KVVbsI4Phtf9ivPtplo+8OWIfrbBdVYIZ245COMfymGR6TC9NRnSTHANhf6u6rc3rkling2xqfPv21Wkt4XkmWckubvZeRZE9BwJeBu77NLiuJ4WcbltAAJ0fA4YoS9ZqeKLiWvAbnraKeOM7nRsYxzmeO1g27VEYOIPBucnc/7NQntH3W6NTJn4gPHLeeIbmJnPfmWOa37iDCHpMLGFyIB6TMGFys/0/TNbXUqniuM97Ht6RP4OZd3aq0vWORoRJN2bFrjL6a3tJ0aqNjpnH3NPgdg5dY505XbOf2sXlL/0AGPM1ALLt1WiVpts+u/PHqK1yYavEMt5hM/IuMge2+WdbLePXe7MpVYnYNMWjb3wUnO5s8Rv7f7nW/m6913vzW5ac2z8zkSkDMji0bzp3njKCGuIoI4kMMwHXwhIm5ZYwiYLHxBrel+4xk6Vb4TFpEWEazmVv+hRWt7V97/TO6SmxCJfFWUlO9pDJmynGWIeskqXBdUPNvhd7Xf0503MPt3t/QYFKC7145JnE12luGP636J+V2ODj9ubUsT345IbpwZEKnRHLw2qMNQA89cu3m2NvueHl0ghwlm0eAL/1XsnRl/0fjrP+CUfcGB1jY4TO6z8T2pwVO8sYZA6wI70/2Bq+m7TbNPabczvStJAb06rFH2Y3XfYpPSPyExKdHe8ibgjrrrTKTNJszyZwlsu60uNnWWAgR9qWc6S+nPX7KgDF2ba5pFPJpbb/AVCmp3FL7S94yvkwXmXDlz+xRZ+j6xqvXzE16ImxmnHVbVxm7XuZ2RmVkq0Ht4MYya92fGRUmfN3oi1MwrA30kTPIqtO2XjvjPg2syUahDcas7xBKzUj7yupeCU2/PixMUQz5ueUJw+CMvi3/1j+7T+W68bCjRkLYOqvSfg0spV9XZG29I5jePjzDZx9qFSCNInlMbGbvx1v840R62I1vpuuryBDq6RcJbC/50ymDMhs5pXdE/GYdEOKKt30u/UjNu+vCmtD3fiYbZuuBYdYpRK6W7CSX4dYiZXmjIdXL59MeoKDG4/tnDMfrGuZFRFozxi7FVqocvuYEzBExvm2L3j6o++4wf4Wf3U8y22O13BqfgqShjLv1AXMCUziJPf/cbbnDvSk1p3IjM6VoYvd2F5pEeutfS92Rk4iPhhqvAHOtX1FgrsQErKgx/jmX3SANNfAb0huEtfPDCUVWh03Oyvhu5NtiqrN/hywubAFPPQwj9dpqcb/lcmRXr4dek847v8gJb/e/KGUOmGstAQnd506ssFBl0KIoMfEKhc+AGFiNaE8J9W4QXjfP5WLDpdk18YQj0k35JEvNgQf92zBfAxd0yhTpjDR6guTPL0UAgRbgh82MIslfzym0ZbwHY2tzsWsPe207lp9AcXHTOIP9lforRfyXOH5EUejV9nYOu63wWnJq8x5RXbbgdk6/3dHU1rtpXdGZCjDZYZy/rbUwdEuYMdiw1XtPHD3frXbF5y7xJG/O6j3aojWdLzQNI1fzxjEP8zffEais5lXdCzhHhPL21PtDRhep/3r6KsVsFNlM9Vm9AyqSB8e8XpvWEK6q44ncHAnDpd0ZoI5JnazfNtb0+r3WGn2e5octwNqYH38WP4wUnJKGkM8Jt2QkupQItaYZDORK7Vpj0l5HY+JxxcIhnKytVJjw6TQgdZZRQnUv8tesq3hWSRtQaLTHsxxKSWZX3pvZpUeqpJ52ncS/WtfZoT7eQ6Z8bOgMLGwH2BXzt4ZCYzulVpvuRXKWa36UmjLA18NbPz8gD7jybmb+NUrS9hTVkue2fqevtMO6L2aorXNuBw2nfMm9eGIwVmM750WdXuiSVZSSDjlpxoXwmqPHzKMmUh9tX38us927BW7wJlMaV7k39cTVsKfHBa6efXyyZ1yem9XwPq7BWxWKKf1wsTq4Jxasx2Am847CVcnqIbqrIjHpBtiJa0C9LebF5Amxr/bNI0is217jlmeOP6eT5l9iPGaLMzur0ld4w6g7sCwuh6UNv1sXWPaoCy+Xm/E/xcGRrDhlHe5+Y33cOIlZ/g0TnbYuH7mYGy6FiyNtagrVA6W0MlR4xM1iQt5H//qD9GGndoqcVnl9nH/HKNM1YafDJcpeNugu+qB9Ai978zRUbejLXjp0snMWbWHgdlJwRyTGo+fkriepAMT9bXM2v+msfGYs4mLj/SAhZfwnzK2B0t3lHLepD4cNrBOl1yhxehRyDGp8fgYrW3GXlsMuoPUnp2/SKAjEY9JNyR8/kqy26ymaSqUo2tsN5twpWrVpFFBlcfPS98Zs1cyPGbya2r96a6dkbotMu44pX4r87akX2boYuKwaYzvk8Ya1ZdlahBHDsnm0fPGB6sUwrvwQvNVKK1lR0noJFuUbczM2bTye2Y/taBVnom1e0MllBlUoGsKpelG19co04m7lx80fTITuGL6QGYOzw2W61e4ffx5ifG9n25bQFKgwhiKeOyfiKuTR3Lq2B7Bx30zE3nu4onMHN41bhg6L+YIiwP0mCilqPb6+aXdSGhn1GxwSVitKUSYdEOsjqJDUgO4PJbHpHFhYtM0anEFW4BP1EOt6Y/UlzFC22o8yeqcya51CfeYJLnsjOpZP8TRlgzLCyUbTuiTTu/0BCb3zyA13sHhgyLvbLPDqko0rfkqlNYSXj68z2Zc1Hqovfy0vYStRS2/Mwzv05ClGR60QHxGm0xq7i4kuEJ/u4/8UyhVYbk6h14CzgRG9UilZ1o8RwzO4tXLJ3P6uK5xc9CVqJ9j0jqPidsXwKZ8HK+bQzunXBVF62ITESbdkEJzmNRLx5tZ+qm9IT6t0e2tnIhP/UZzr6P1pQDkUcTTjgeNjXpNinojrbYiPNae0AElzbMP6clNxwzhraum8trlU8zS3iksveMY+tXpKRE+UFGp5qtQWsu1MwaRYpYQf1eUiEIjSaslgwqOfmBusJleXX7cXsJZTy1gqdnWP7zltiVMtMS2GZKnDiiY0/UInwtUTRwv+o25RzW2JBhxOmCUFH976wz+fdlkDhuY1alzu7oqwaGfLfSYuH1+LvrX9zz+1UbAyBEarO3CpXlRrhTIH9eW5sYEIky6GVVuX3CicNbyp4yFYbNTGsI62S0IjATgcH0FoDjatpQ4zcvqQF+4+P0uc3ccHsqp29uhPXDZbVw7czCH9ssI/m3rlvVa1C35jDY5KXH841yjnHdLmZ89yphR01czBMkVL33Pqg0b673uzCcWsHhrCde//hMAFWEN4qycIy25bYSJ5XEakR/bZa512/I/6juDX3pu4umh/4REyRlpL7S6OSaepj0mHy3fw9frC/nbJ+v4cXsJpzz6DSP1rcZ75Y/tlMMjOxsiTLoZVhjnEMc27Fu+At0B03/b5GusCtVvAyOpVi766IWM0TYzQjNyTL4KjA22su8KhHeZrNtwrDsS7jXaGjCGA77m/BN325/nC+fNDHtlEqz/pMHXFpn5SuHCJNdMkNbaKBn6sfPHc9KYfG48ZkjzG8cQPux8HjiE+Fzpf9GeWB4Tn6355NfyWi93vR+aJ3bmEwvYVVrDWM1sNpjXeVvvdyZEmHQzrDDOUXFmL5NBs5oNwVh39TXE8XnAaIl+iu274AVo3MiRbWRt23DkkNCdfFdIpGzrAWf9s0Phow8DxnTlOM3LxfbPGKDvxYYfteDR4DbhJak9zYZlFWGhnD7BbsL92sTeXukJPH7+BGaNiP2kzqcuPIRbTxjGiaND06Qbm7wstA1WKNunN9/H5PlvtkaMl+ilFfAf5z383G6W4PeLfvl8LCLCJMZ544cdnP74txSYsxosYTLOZnb47HVIs+8RXk77ud8QJmP1TWSbuQSHjetawqSzN9mqS1vbm5Mcx6T+xrTZV/0zuM5zDcUYCcFlyqwg2rYAKowKro0FobEElscp3GPSxwwDtWUr+u7C8aPyuOrIgcHwK9DuydrdHaupoVc3E9Gb8JhYM3EMFHfbX2SybpTRl7h6wcAZbWVmTCHCJMb53VvLWbqjlL9+YlTS7K8yXO9DfKbHpEfzQ+FsYQl1BRh3a5mUBy9AWkqPBl/XmXn2okPpmRbP3ad1flGVltD2QuqGWVZYROP9wDQuznyVSbWPM9H9JCsD/dCUH56bBTUlLNkWmka7dk85JVWeRjwmXSMZuisQXvVUt4RcaFucZq6PpwUek3Dv5tH6UmbajBysN33T2XPWh10q5N2RiDDpJuwtq6Wsxsvt764kgVqyfWbvkfyxzb42PNPfarQ2UN9DplaBciZCbtdoXhXOMSNy+fbWGUzo0/nd4ukJDQ9XjCZ9MyMbdaXGOyggHQ8ObvD+inJnLpTtgFXv8OHyPcHtEjxFfPTG08RVGPlGeRTRQysyDe/X5nZ3F3573DCcdp07Tm7fnjtCyGPi1iyPSePCpMpteA77ant5yvEwYIiSf+fdwvCB/drSzJhCMv+6Cd9s3M/Yuz8FYIi2Ex1ldGptQXZ/eCinRCVHrNP6HwX2rhUa6WqcO7EPc9cVMiwvufmND5C8lDicdj2YP9IvK4FvzGKcDaoXT1Qdza2O12HpaxSU/x6APx9SyekrbyBhmxsfNny2X3KH/d/YtQDkjYbkvMY+TmglUwdmsuru4+p1AhbaHmsMhFuzPCZVEPCDbmPBxv18unoft54wjDiHjVcWGS3nz7R9g0vzstY2lLP+8AY/s8fJSIBWIMIkRvlpe0mjpabjdTOMk9Oyu6/wUE4xyXiUDadmxrwHzzooO4XmOW5kLm9ffVhENVG00XWNHqlxwaZq184YzN4yN+v2lbOjuIb3/NO4wf42rp3f019bzg76ceauvxGnGTlLdvw84HjaeDNnEpz7mpRFRhkRJR2Dw/SY1NjTQLOB8kPlPkjpwfnPLQKMsv6rphuTnp14+aXjU1CQNu0X4IhHjoTWIb/0GGRjQQVnPLGA4x+eH1ymEeAwfSUrXZdyp+PfxsJ+h7fo/cI7pQbQKSHszn2QCJO2RtM0DumbTmp824Z0UsLePyvJxXMXH8ptJxjTa/eQyUeByQDcFXiU++zPEVe6gTIthad9J0W+0c/fbXLEgSB0JSxB6FZ6cII6pTsitlmwqYjCSiPx9Th9MYmqEpLzyTvyina1NVYQYRKDrNtbGfE8nXLmOG/lVeefSdKMg2dX7tEw7foWvV/dGzU9vPNmWuNTiYWuRfgdueUlGxzmpfmL9zx2qiz6aIWcZf8agLm9r+EN/1H4lPHaisGnQe+J7Wi1ILQtVqM7r1+FBHdZpDBZtqOUWQ9+zRhtE/c7njUWjj0XbBKUOBBEmMQg8c7Ir/U6+zsM1XcGny8P9GfV1AfB1rI78Lptrm/yGrMeqqbceJCWCp2JwQ2EigbnJnOvWblUQDp3ey8CwKtscOpjuMdcwCbVkzM893CW+w5qTn6yXW0WhLbGarFw85vLQjPFSrc3uO3N9jdI0NxGWfCRt7SXiTGHyLkYpMYTaoB1nL6YS+xG186Lvbcxz29U0LyS1PJ23rY6uQJfB8YyvvYpPj/sNBIbeY3Q9fjtcUPZX+nhnImRYZifT+3Hf3/axU/bS/kscChnue/AlpDK6xN+Ttoqo7fJCjUAgJSEuHrvKwhdmTV7yoOPVWovI1+kAWHiwsMks2cJx90npcEHgXhMYpAab6gZ01X2DwD4p+8EfnSMDy5vTTdRWwODwUpIQRc3ZUyRaeaVHNNAR9XHzp/AmeON+PpiNYyFVfkAJMdFet1cdjmlCLFLmcvs2WSGclLCzqNjtU3EaV48cVmQ3TUmrXdWonoWueuuu4LDyKx/w4YNC66vra3lmmuuITMzk6SkJGbPns2+fQ1PLxUOnBqPUUt/4ogsxjqMA+gl/zEcPihUGlz3gtIUdcvcpg3K5BeH9SO9i3VQFQ6cnmnxPHjOOJx1hEdKfKQ4lZJIIZbZ6jc6JFvJr6FBi4rL7f8DwDl4hlSkHSRRv70ZOXIke/bsCf775ptvgutuuOEGPvjgA958803mzZvH7t27OfPMM6NtQrfH8pj0VzvR/W58jiSOP3wKd54S6nIa52j5V183lHPXKSO569TO3zFViD6/mWUMkDtisCFy46ULqdCNWF9t5mFVGjfUXrPvz9m2uRxjW0JAd8Bh13aQdbFD1H3xdrudvLz6jZXKysr45z//yauvvsqMGca8gOeff57hw4ezcOFCpkyZEm1Tui1Wjslgz2oA7D3GcdtJIwkEFP2zEvH4AuQktzwXoG5VTkOhHaF7cOX0gQzISgrO1slKdnWwRYLQfqwvMvP3fEZ1o9tvPL972C7YBPoRN0K+TBA+WKLuMdmwYQM9evRgwIABXHDBBWzfbiQJLVmyBK/Xy6xZob4Xw4YNo0+fPnz33XeNvp/b7aa8vDzin9A01tyS4dWLjQWDZgJGdc2nN0xn7m+PapW4qFuVI8Kk+2LTNY4flRccLJjSipCgIHRFMsNC1utLzPw9Xy0q4MdrChNHmTUUVUrlo0FUhcnkyZN54YUXmDNnDk8++SRbtmzhiCOOoKKigr179+J0OklLS4t4TW5uLnv37m30Pe+77z5SU1OD/3r3lsZNzbGzxJjlkO015+HkhRS8w6a3uoNk3VCOCBMhnPxUqcQRYpdXL5/CwGyj/nBrWajicVdhCUoZzSttpcasKDIGdISJMUdUhckJJ5zAWWedxZgxYzjuuOP43//+R2lpKW+88cYBv+dtt91GWVlZ8N+OHTuaf1E3Z2dpNfHUklpj/q0OcphaXSFizY4QBAClmt9GELoqQ/OSeePKqQDsqAz92C951mgymEsJmq/GaFcvDSejQpteYdLS0hgyZAgbN24kLy8Pj8dDaWlpxDb79u1rMCfFwuVykZKSEvFPaJrSai+zbfOx+WsNUXKQKr7umHXRJUI4ClEmQmyTkehE10Cho2xGXlVVZQUA/XXT45/et8VNK4WmadNLTGVlJZs2bSI/P59DDjkEh8PBF198EVy/bt06tm/fztSpU9vSjG7Dws1FXPbCYnaW1HCB7XNj4eSrD1pJ1K28EI+JEE5AdIkQ42iaFmyxELAboct4c4BlX81seSFhnKgR1aqcm2++mVNOOYW+ffuye/du7rzzTmw2G+eddx6pqalcdtll3HjjjWRkZJCSksK1117L1KlTpSInSpz7zEIA4nAzVDNb0I+afdDvm1BnSrHkmAjhSFM1oTuQEm+nrMaL3xaPjTLi8AAwKaUEaoCMgR1rYAwR1TPKzp07Oe+88xg6dChnn302mZmZLFy4kOzsbAAeeughTj75ZGbPns306dPJy8vjv//9bzRNEIBB2i50TRFIyIKk7IN+v3gRJkITPHb+BPJS4vjHueM62hRBaDOSXYbHxOswpqv3chjDUo/NqzI2EI9J1Iiqx+T1119vcn1cXByPP/44jz/+eDQ/VjBJdNqo8vgZYnlLsoc1/YIWUj+UI8JECDGudxoLfz+zo80QhDbF6nJcmjSIxLIN9PdvQWck8UWrjA0yxWMSLcQH28Wp9vh4bv5m5m8oJNtsdjVa3wKAnjsiKp+R4IzUr+IxEQShu2GdB4uSjDk4I/WtnOT4AVv5DohLhT6SkhAtZApbF+fSFxazcHNx8PkobXNwmjD9p0flM+qFcmQOhCAI3Qyn2f+pwBQmI7Rt5NlrIABMuhJcyR1oXWwhwqQLU+v1R4iSPto+3nPeDoCyOdEGHBWVzwkXJppWvxOsIAhCrOMwk7wLEoYA0F/bS7Yy80sGSSgzmkgopwvz+ZrIycxX297Hphm1m9qpj0ZNwSfIoDZBELo5lsek3J5OWXxvdE2RoswRKcn5HWhZ7CHCpAuzdHup+Uhxme1/nGf/CoDtp/wHxp4btc8J95hIl09BELojTrvhKfb6ArzX+5bIlSJMoooIk06GP6C4872VvL9sd7Pbrt5jqPWT9EXc7ngZgO2BbPy9o9uwTvpUCILQ3bE8Jh5/gIVqBNd7fkVFXA+YdRfYnU2/WGgVkmPSyfhybQEvfreNF7/bxqljezS6nVLKFCaKK+0fALAlkMuV3ht53hndg0STZFdBELo51vDTR7/caC45nBNOvo7jR4m3JNqIMOlk+Pyh6ZUeXwBnHW9FtcfH7/+7gveW7UYpOMc2lzH6Fny2eM6ovYdSkklyydcqCIIQTeqeiwFyU2SydlsgV7BORmpCaAjUvvJaemckRKy/98M1vLvUCPP00gq40/4SANpRt3Jh9Xj6ZCaQGi+DpARBEKKJ3SbCpL0QYdLJCE8u3VNWX5i89v324OOT9YUkaG7oPRnbtOu4WYbrCYIgtAmFFbX1lmUmSW5JWyBXsk6GL2xU656ymia3HaFvMx4MOf6gJwgLgiAIjVNU6am3zGWXVgptgVzNOhn+QCjHZHdppEIvq/ZGPB+pbTUe5I1pa7MEQRC6NcVVkcLEGgEiRB8J5XQyfP7GPSbfbtoffJxALf21vcaTfBEmgiAIbcmNxw7h/GcXcdHUvkzsl8Hg3KSONilmEWHSyQiEJZnU9ZjM31AIwM+n9KVvyQL0bYoClUZOUk672igIgtDdOGxgFj/dfgxpCQ5podDGiDDpZDSVY7Jyl9FQ7bjsIqatuRcAb9/oDOoTBEEQmiY9UZJd2wPJMelk+MOEyard5cHHSim2FhkDo0btfB3NXQ69JtLz/Mfa3UZBEARBaCtEmHQywoUJwFdrCwCo8fqpqPUBkFy61lg59RqIS20Xu5wN1PALgiAIQrSRq00nw1dHmLy3dBc7iqup8fgB0Aig7zeFSc7IdrPrhUsnkpvi4tmLDm23zxQEQRC6H5Jj0smo6zF5d+luftxeymtXTAFgoH0/mrca7HGQMaDd7DpsYBaLfj+r3T5PEARB6J6IMOlk1PWYpFLJGWVvw1ajh8lo+w5jRfYwsMnXJwiCIMQWEsrpZATqCJNb7K9xg+Ntcj65GlCM0E1hkjuq/Y0TBEEQhDZGhEknI9xjYsPPKbaFADhq9tNHK2A05sjt3PbLLxEEQRCE9kJiAZ2M8Jb0x+hLSNZCvUy+dt0A1uo+k9vZMkEQBEFoe8Rj0snwh3QJF9s+BeA9/2H4VNhXdez/Qc9D2tkyQRAEQWh7RJh0MiyPSRoVTLWtBuAv3vN43X90aKOp13SEaYIgCILQ5kgop5Nh5ZgM0nYBsFNlsYdM/uI7jwA6tlGnc4HMaRAEQRBiFBEmnQyrKmeEw5gcvCnQA4BKEqg55n6uPHJgh9kmCIIgCG2NhHI6GZbH5Pg8Y07ORtUzuE5EiSAIghDriDDpZLh9Ro5JrnsbAJtUj440RxAEQRDaFREmnQy3z5iJk1VrCpOACBNBEASh+yDCpB3x+QPsr3Q3uY3bG8CFhxT3HmNB9hAAkl2SDiQIgiDEPiJM2gGvP8Dr32/nqAfmcuifPmdjQUWj27p9AQZoe9BQEJfGX34+g5PG5PP6lVPa0WJBEARB6BhEmLQD7y/dza3/XcHOEqOL639/3NXotm6fn2P1H4wneaPpn53E4+dPYGSP1PYwVRAEQRA6FBEm7cCGgsqI5znJrka39XtrudD+mfHkkF+0oVWCIAiC0PkQYdIO5KVECpGEOvkiSilqvUbSa8+qdWRr5bhdmTDitHazURAEQRA6AyJM2oFqU3RYeHyBiOf/+nYrw26fw9x1BSR5C43XJPcDm6O9TBQEQRCETkGbCZO//OUvaJrGb37zm+Cyo446Ck3TIv5dddVVbWVCp6HWEylMasOEilKKez80ZuLc8d4qKot2A+CLz24/AwVBEAShk9AmNaiLFy/m6aefZsyYMfXWXX755dxzzz3B5wkJCW1hQqeiuo4wcfsCoBRoGuv2hSp0thdX08O+HwB7an672igIgiAInYGoe0wqKyu54IILePbZZ0lPT6+3PiEhgby8vOC/lJSUaJvQ6agJ85DY8TF1/V/hr/1h23d8saYgYtsp+hoA0gdObFcbBUEQBKEzEHVhcs0113DSSScxa9asBte/8sorZGVlMWrUKG677Taqq6ubfD+32015eXnEv65GTZjH5GHHE0zY8x+oKYEVb7Jqd1lw3UBtF2P1zfiww6CZHWGqIAiCIHQoUQ3lvP766/z4448sXry4wfXnn38+ffv2pUePHixfvpxbbrmFdevW8d///rfR97zvvvu4++67o2lmu2N5TMbEFXIyC4PL3VsXstFrVN4ckuHh9sqnANiYMI5hyXntb6ggCIIgdDBREyY7duzg+uuv57PPPiMuLq7Bba644org49GjR5Ofn8/MmTPZtGkTAwc2PDn3tttu48Ybbww+Ly8vp3fv3tEyu12wckxOdS4GD6wO9GWEvg1n0Rp6qh9ZzxButr/OOH0T5SqebaOuYVgH2ywIgiAIHUHUQjlLliyhoKCACRMmYLfbsdvtzJs3j0ceeQS73Y7f76/3msmTJwOwcePGRt/X5XKRkpIS8a+rYYVyhjn2AfChfzIf+SehqQCPqr/Qk0KG1i4H4Dfeaxh92AkdZqsgCIIgdCRR85jMnDmTFStWRCy75JJLGDZsGLfccgs2m63ea5YuXQpAfn5sV6BYoZw+GMJku8rln94TmZxWSVbFah53PUaGZzdeZeOHwFB6pMV3pLmCIAiC0GFETZgkJyczatSoiGWJiYlkZmYyatQoNm3axKuvvsqJJ55IZmYmy5cv54YbbmD69OkNlhXHEtUeHwDZPmNGzlaVixsnK1Kmc3TFasZpGwBYnHkq/zq14aRhQRAEQegOtEkfk4ZwOp18/vnnPPzww1RVVdG7d29mz57NH//4x/Yyoc0pq/FSWFHLoJzkiOW13gDJVBPvLgIMjwnAT9pQjrY2Gnchh536COj1PUuCIAiC0F1oU2Eyd+7c4OPevXszb968tvy4DufUx75hW1E1n994JINykoLLqz0+zrZ9ZTzJHMz0zEF8uHwPj27MJt1+HC6HnfNPflBEiSAIgtDtkVk5UaKi1su2IqMny6wH57HB7Oha6/VTWevhCvtHxobTrsNpN/7sCp27fRfz+5oLwN74xGFBEARB6C6IMIkS24sjG8Vd8+qPAPy4vYRctZ9crRRlc8KYc0F1hIWCIAiC0PlptxyTWKeo0gOAAx+32V9lWPF22P4QCzel01/bA4CWMQDszghdMiQ3iVuOl64lgiAIggAiTKLCkm3FXPSv7wGYbfuaS+1zjBX/Oo6UxCvor7mN55mDAGOisMWnNxzZrrYKgiAIQmdGQjlR4MHP1gPQSyvkFvvrEevOq3yRodpO40mm0d1WIjmCIAiC0DAiTA4Sjy/A8h3GIL7fJ7xLulbJssAAhta+QLFKIlFzc4H9C2PjnBEAKFEmgiAIgtAgIkwOkkVbiqhw+8hKcnFC3CoA/uy9ADdO3vUfHtrQ5oL+0wEY2zutAywVBEEQhM6P5JgcJPvKjfyRyTk+tN0FoOn0HDUNVhTzf74LWKP6cNYAP5NmnAEpPQC4aGpffP4ARwzO7kjTBUEQBKHTIcLkICmtNqpxRurbjQUZAxjUMxtWFOPHxpv+oxg8eBiT+oemJztsOlce2fA0ZUEQBEHozkgo5yAprfYCMCiwxViQO4q9ZbUR28Q5pKOrIAiCILQEESYHQVmNlw0FRofXXl5TmOSN4qxDekds57DJn1kQBEEQWoJcMQ+QshovY+/+lE9W7SOeWgaXfWes6DGe0b1SWXbnscFtqz3+DrJSEARBELoWIkwOkPXmLByAW/J+wOEphfT+MMCYF5wa7wiur3b72ts8QRAEQeiSiDA5QHaX1gQfn5ey0ngw6YoGJwTnpsa1l1mCIAiC0KWRqpwD5PrXlwYfu0o2GA96TYzY5uXLJvPNxv2cMb5nO1omCIIgCF0XESYHSQpVUGEM6SN7SMS6wwdncfjgrA6wShAEQRC6JhLKOUhGOvYaD5J7QFxqxxojCIIgCF0cESYHSG6KC4Dbp5g5JdlDO9AaQRAEQYgNRJgcIBoaALlVa40F2cM60BpBEARBiA1EmBwgHn+Agdou0te+biwwB/QJgiAIgnDgSPJrK/H5A7y8cBvFVR4edLyMHvDA4ONg6AkdbZogCIIgdHnEY9JK/vPDDu76YDUaASbqZhhn5h2gaR1rmCAIgiDEACJMWsnS7aUA5FNMouZG6XZJfBUEQRCEKCHCpJW4HMafbLS+GYBA1lCwOZp6iSAIgiAILURyTFpIpdvHB8t2U1FrzL0Zr28CQOt5aEeaJQiCIAgxhQiTFnLX+6t4a8nO4POxmilMeh3SUSYJgiAIQswhoZwW8v7S3cHH47SNTLWtBkCrMx9HEARBEIQDR4RJC/H4AwD0YD+vO+81FmYMkMRXQRAEQYgiIkyaYX+lm5l/nxt8PklfS5zmRaX1hYs/BN3WccYJgiAIQowhwqQZFm4uYlNhVfB5tlYKgNZ7MqT27CCrBEEQBCE2EWHSDD6/inierZUZD5JyOsAaQRAEQYhtRJg0gz9QV5iUGg+SctvfGEEQBEGIcUSYNEM9YUKp8UCEiSAIgiBEHREmzeBXhjCZNTyHj68/gim5fmOFhHIEQRAEIepIg7VmsDwmNl1jeH4KVBcaK0SYCIIgCELUEY9JM1jCxK7r4PdCdZGxQkI5giAIghB12kyY/OUvf0HTNH7zm98El9XW1nLNNdeQmZlJUlISs2fPZt++fW1lQlSwhImua1Bleks0G8RndKBVgiAIghCbtIkwWbx4MU8//TRjxoyJWH7DDTfwwQcf8OabbzJv3jx2797NmWee2RYmRI2AmWNi04BKU0Ql5YAuziZBEARBiDZRv7pWVlZywQUX8Oyzz5Kenh5cXlZWxj//+U8efPBBZsyYwSGHHMLzzz/PggULWLhwYbTNiBq+cI/Jrh+NhRkDOtAiQRAEQYhdoi5MrrnmGk466SRmzZoVsXzJkiV4vd6I5cOGDaNPnz589913jb6f2+2mvLw84l97Esox0WDj58bCgTPa1QZBEARB6C5EtSrn9ddf58cff2Tx4sX11u3duxen00laWlrE8tzcXPbu3dvoe953333cfffd0TSzVQRMYeLEC5vnGQsHH9Nh9giCIAhCLBM1j8mOHTu4/vrreeWVV4iLi4vW23LbbbdRVlYW/Ldjx46ovXdLsEI5ee5t4K2C+HTIG9PMqwRBEARBOBCiJkyWLFlCQUEBEyZMwG63Y7fbmTdvHo888gh2u53c3Fw8Hg+lpaURr9u3bx95eXmNvq/L5SIlJSXiX3tiJb+m+ouNBam9QNPa1QZBEARB6C5ELZQzc+ZMVqxYEbHskksuYdiwYdxyyy307t0bh8PBF198wezZswFYt24d27dvZ+rUqdEyI+pYOSbJ/hJjQaI0VhMEQRCEtiJqwiQ5OZlRo0ZFLEtMTCQzMzO4/LLLLuPGG28kIyODlJQUrr32WqZOncqUKVOiZUbUCQoTnylMpOOrIAiCILQZ7dqS/qGHHkLXdWbPno3b7ea4447jiSeeaE8TWk1ImJihnMSsDrRGEARBEGKbNhUmc+fOjXgeFxfH448/zuOPP96WHxtVrCF+if5SY4GEcgRBEAShzZD2pc1glQsneU2PiYRyBEEQBKHNEGHSDFa5cIIlTBKzO9AaQRAEQYhtRJg0g1UunCgeE0EQBEFoc0SYNIM/oNAJEOctNRZIjokgCIIgtBkiTJrBF1CkU4FOANAgIbOjTRIEQRCEmEWESTMEAoosrcx4kpABtnatsBYEQRCEboUIkzp8s2E/HyzbHXzuDRcmEsYRBEEQhDZFbv/rcOE/FwEwvk8avdITqHb7yMIUJklSkSMIgiAIbYl4TMLw+gPBx8VVHgCqPH4G67uMhal9OsIsQRAEQeg2iDAJo9rjDz626Zq5zMdUfbWxsO9hHWGWIAiCIHQbRJiEURMmTCwCtZWM0TYbT/od3s4WCYIgCEL3QnJMTM5++ju+31IcfO7xGWGdge7VODQ/nqReONP7dpR5giAIgtAtEI+JSa030lvi9Sv2lNWQUbMNAF/O6I4wSxAEQRC6FeIxMemdnsDynWXB53NW7qWsxstQbT8A8Tn9O8o0QRAEQeg2iDAx6ZUeH/H8X99uIZlqznVuAEDLGNARZgmCIAhCt0KEiUmvjITgY40AN9rf4lr7uwAoTUcbdlIHWSYIgiAI3QfJMTEJ95gkUsuJ+qLgc238zyGlR0eYJQiCIAjdCvGYmPROD3lMKkngIs+tXGb/mPRRx3LGKZd2oGWCIAiC0H0Qj4lJ3RyTXWRzj+8iNqZPA03rIKsEQRAEoXshwsQkzmFrcLkvoNrZEkEQBEHovogwaYQ4h/GnmT5YBvcJgiAIQnshOSYNMCA7kdcun8KmwkoOG5jV0eYIgiAIQrdBPCZhPP+LiQzJTeLBs8eRmxInokQQBEEQ2hnxmIRx9LAcjh6W09FmCIIgCEK3RTwmgiAIgiB0GkSYCIIgCILQaRBhIgiCIAhCp0GEiSAIgiAInQYRJoIgCIIgdBpEmAiCIAiC0GkQYSIIgiAIQqdBhIkgCIIgCJ0GESaCIAiCIHQaRJgIgiAIgtBpEGEiCIIgCEKnQYSJIAiCIAidhi43xE8pBUB5eXkHWyIIgiAIQkuxrtvWdbwxupwwqaioAKB3794dbIkgCIIgCK2loqKC1NTURtdrqjnp0skIBALs3r2b5ORkNE2L2vuWl5fTu3dvduzYQUpKStTet7MQ6/sHsb+Psb5/EPv7GOv7B7G/j7J/B45SioqKCnr06IGuN55J0uU8Jrqu06tXrzZ7/5SUlJj8sVnE+v5B7O9jrO8fxP4+xvr+Qezvo+zfgdGUp8RCkl8FQRAEQeg0iDARBEEQBKHTIMLExOVyceedd+JyuTralDYh1vcPYn8fY33/IPb3Mdb3D2J/H2X/2p4ul/wqCIIgCELsIh4TQRAEQRA6DSJMBEEQBEHoNIgwEQRBEASh0yDCRBAEQRCEToMIkxiisLCw2RkEQudmx44d+P3+jjZDOEDkGOz6yDHY8XQLYeLz+QCjnX0ssnXrVk488USuuuoqNE2L2f2MZbZs2cIpp5zCeeedR1lZWcxd3OQYFDo7sX4MdiViXphcf/31nHTSSQBN9ubviiiluPLKKxk8eDDLly9n/vz5uN3umNtPt9vd0Sa0GUoprrrqKgYPHsymTZv44YcfAKI6B6qjkWMwNojV47A7HIMWXeU7jL2jx2TNmjWcdNJJvPfee3z22We88sorQOzcsf39738nLS2NpUuXsnjxYp566imys7NZuXJlR5sWVW644QZmzJjBvn37OtqUqPO3v/0t+B1+//33vP766/Tr149vv/22o02LCnIMxg6xehzG+jEYTlf6DmNamOTn5/P8889z/fXXc/PNN+P1emPiTqaqqorPPvuMhx9+mEWLFjFu3Dj69OnD+vXrg+7Hrn7y37RpE6effjpz5szhu+++44UXXuhok6LOt99+y0MPPcTChQuZMGECSUlJ7N69O/jddfXvUI7Brv39Qewfh7F+DEIX/Q5VjOD3+yOe79+/X61evVoppdSWLVtUjx491K233trgtl2BujYHAoGIdUVFRWrYsGHqL3/5S3ub1ibMnTtXXX311eqbb75RDzzwgEpJSVEbNmzoaLMOCq/XG/E8/Dv0+XxKKaUmTJigrr/++vY0K2rIMRhbx6BSsXccxvox2BBd8TuMiZb099xzD1u2bGHAgAH86le/IjMzM2K93+/nySef5KabbmLDhg306dMHpVSXiSE2tn9+vx+bzQZAcXExxxxzDCeeeCL33ntvR5p7QPh8Pux2e/B5WVkZ+/fvZ+DAgSilGDFiBJMnT+4aar8B7rjjDlauXEnPnj351a9+xZAhQ7DZbBHfYXV1Needdx5paWk888wzXWoWhxyDXf8YhNg+DmP9GLSIie+wA0XRQbN9+3Y1YcIENXr0aHXNNdeovLw8deihh6o333xTKRWphgsLC9Whhx6qTj/99I4yt9W0dP+sO7lTTz1VnXjiiRHrugK33367OuOMM9Svf/1rtXr16np3NUop9f777yubzabmzZvXARYeOAUFBWratGlq9OjR6q677lJDhgxRY8eOVQ8++KBSKvQ9Wf9fccUVasqUKRHLOjNyDMbGMahU7B6HsX4MhhMr32GXFiYvvPCCGjdunCotLVVKKVVZWalOPfVUdfjhh6ulS5cqpSJddx988IHSNC34hXzyySdq3bp17W94C2nJ/lnuR6WUuueee9S4ceNUYWFhh9jbWlp6wrA44YQT1OGHH65qamo6wtwD4v3331fDhw9X27dvV0opVVtbq37zm9+o/v37q2+//VYpZXyH1r6+/PLLKi8vT+3cubPDbG4Ncgx27WNQqdg/DmP9GFQq9r7DLp2FtnXrVhwOB4mJiQAkJiZy00034XK5uP/++wGw2+3BZLSZM2dyzjnncPHFFzNlyhROP/10SktLO8r8ZmnJ/tlstuD+JScnU1NTg9/v7xI1+AsXLqS4uJiPPvqIO++8k+XLl3P00Ufz6KOPsmDBAjRNC/a/ACODftGiRbz55pt4vV4+/PDDTp89X1BQQGVlJbm5uYAxUvyqq65i1KhR3HzzzQBBNzIYv9eEhAQKCgo6xN7WIsdg1z4GIfaPw1g/BiH2vsMuLUxqa2ux2+0RP6Dp06dzwgknsGbNGj7//HOA4Ali165dFBUVsW3bNkaPHs2+ffuYNGlSh9jeElq6f1aXwuOPP57169ezb9++LhG7b8kJIzxWOnLkSH79619z0003MXHiRM466yyqq6s7xPaW4vF4yM3NZdmyZcFlQ4cO5ZJLLmHXrl288cYbQOg7nDVrFlu2bOnUF+tw5Bjs2scgxP5xGOvHIMTed9glhYlVwnXxxRezcOFCvv/++4j1s2bNwuVysWTJEsBo6rRu3TrOP/98du/ezYoVK3j22WdJTk5ud9tbQmv3z/rBlZaWcvnll5OTk9Ml7tZaesKw/h6bNm1i27Zt7N+/n8mTJ1NQUMAxxxzTIbY3h/X3P+mkk9i8eTMLFizA6/UG1x9yyCGMGzeOL774AqVU8DusrKzkuuuuY9CgQZ36O5RjMDaOQYjd4zDWj8FwYu47bP/oUctYsWKFeuuttyLitxbhMeuzzjpLjR8/vl5Md/Lkyeraa68NPi8vLw/GhDsD0dy/rlZ6acU7t23bpjIyMtTDDz+sPB5PcP22bdvUqaeeqq644orgtrt371bHHHOMGjp0qFq5cmWH2F2X9evXq7/97W9q7dq19daFf4fXXHON6tu3r/rpp58itjnzzDPVueeeq5TqnN/hhg0b1BFHHKFeeuklpVRknDoWjsFo7l9n/P6aIxaOwz179qhdu3ap6upqpVRkvk8sHIMWjSXhxsJ32BCdzmPi8Xi47LLLGDNmDD/99FNEMybL1Wa32/F4PGzcuJEHHniAtWvX8tBDD1FWVgYY5VIul4v09PTga5OTkxk7dmz77kwDtMX+dcaGVRs2bOCBBx5g3bp19dZZ+9mnTx/OO+88HnroIVatWhVc36dPH+x2O+Xl5UF3eEZGBk888QRr165l5MiR7bMTjeD3+7nmmmsYPXo0a9asobCwMLjOuiOx2+3U1tby008/8Y9//AO/389jjz3Gtm3bIt4rLS0N6Fzfocfj4aKLLmLYsGF88803we9G07SYOQajvX+d6fsLZ+/evezevZuamhqAiOF0Xfk49Hq9XHnllUydOpVTTjmFE044Abfbjc1mC3pFuvIxGE5FRUXEcxXmxenK32GTdLQyCueRRx5RSUlJ6rDDDmvyzuof//iHSkhIUPfff79SSqlnnnlGDRo0SB133HHqvffeUzfccIPKz89X33//fXuZ3iJiff+UMu5YfvWrXymXy6UuvfRSNX/+/OC68DuSmpoa9eOPPyqfz6d69eqlLrvsMrV169bg+jPPPFNdddVV7Wp7S/nrX/+qpk2bphYuXBixPPyu5h//+IdKTk5WN998s1JKqbfeektNmjRJjRo1Sj333HPq+uuvV1lZWerzzz9vV9ub47777lMJCQlq+vTpasuWLerUU09VF198sVIq8m60q/5GY33/LDwej7riiitUv3791IQJE9SRRx6pamtrg+ssuuJxuHPnTjVlyhR19NFHqwULFqgXX3xRDRgwIMI7p1TXPQYtPB6PuvLKK9Xhhx+uzjzzTPXiiy8G14V7g7rid9gcnUaYlJWVqfT0dDVjxozgsjVr1qiNGzeq8vJypZRx4r/88stVTk6O+ve//x1xofvggw/UiSeeqKZOnaoOPfTQeheNjibW988ili/agUBAVVZWqqlTp6pnn31WKaXUggUL1NNPP63mz5+vKioqlFJK/fa3v1Xp6enq5ZdfjvgOly1bpi644AJ13HHHqalTp6rvvvuuQ/ajMZ577jk1ZswY9cYbbwSX3X333WrgwIHB57W1teqqq67qkr/RWN8/i1i/cL/22mtq7Nixas+ePcFlF110kfrjH/8YfH7TTTepjIyMLncMWmzatEmNHTtWHXnkker9999Xl1xyiRo+fLi64oorIrbrqt9hc3S4MAm/YP3rX/9SGRkZ6tNPP1VnnXWWGjhwoBo0aJCaNGmSev7555VSSq1du1aVlZUFX1M3Lrh37952sbulxPr+WcT6Rdti/fr1Kjc3V+3YsUPdeOONKj8/Xx122GEqJydHzZgxQ1VVVanCwsKg2FSqfnw4/PvtDFjfQ1FRUT1bH3jgATVq1Ci1ceNGpZSxL+vXr+9Sv9FY37+6xPqF+8knn1QJCQnB57t371bjxo1TDz74oPr666+VUkZfj650DNblscceU0cddZSqqqpSShn2P/nkk0rTNPX2228rv9+vbr311i59Lm2KDhMmixYtUkpFHvSBQEBNmjRJaZqmLrvsMjVv3jz10Ucfqcsuu0zl5+erL774QimlGkwY7WzE+v41RKxdtBv6Dqurq9XIkSPVxRdfrGbPnq1Wr16tioqK1IoVK1RaWpq66aabuky3SGv/Gvq9Wfswf/58pet6l2o2ZRHr+9cYsXThbugYXLp0qerRo4eaNGmSmj17trLb7eqoo45SM2fOVMnJyequu+6KCFd1RX7zm9+oww8/XCkV+m6eeOIJpWmaGj9+vCoqKlIFBQUR31Nn/Q4PhHYXJu+8847q0aOHysjIUFu2bFFKRZ44fvjhB3Xrrbeq/fv3B5dt2bJFnXHGGcFWz52ZWN8/i1i+aDf1HRYXF6tf/vKXKjk5WZ155pnK7/cH/wb/+te/VGpqarBCoLPS0P41VpGwceNG1bdv36BHrysQ6/sXTqxeuBv6DsPzKrZs2aLmzJmjRowYEayqUkqpV199VSUkJKgdO3a0t8kHTEPf4e23365mzZqlPvroo+CyCy64QN1zzz3K5XKpF154QSnVdW9im6NdhcnLL7+sJk6cqM4991x1+OGHqyuvvLLeNoFAIOj2D+fCCy9UJ5xwgqqsrGwPUw+IWN8/pWL/ot2S7/DVV19VmZmZ6rTTTlNKhfZ/4cKFKjs7Wy1ZsqQ9TW4VLdm/cHbu3KkGDx6snnjiiXay8OCI9f2ziOULd0u/w1dffVWNHj1aKRW6qG/ZskU5HI6IC3pnpaHv0O12K6WUWr16tTrjjDNUamqqOuecc1RSUpKaNGmS2rVrlzr33HPVySef3IGWtz3tUh9llTQNGjSImTNncv/993Pqqacyd+5c5s6dG7GNpmkkJSVFvL6mpoY9e/YwcuTIYGvozkSs75/FK6+8wp///GemT5/OiBEj+Mtf/gKE2jmnp6czY8YMnE4nfr8f/f/bu/uYqso4DuDfe6+giWXDAoPVrmYQTrsiBIY6yclk86q9isrkJbUB1dBS15wt3CrKJZSNhmz5sqmz1lw2FyS+4IaVL2yGmiXKgFGEOYfu+oJw+fWH3SM31AkcOOc8fD9/3nu5e7787nPuj4fznGO3a1vbxo4di8DAQJw5c8aw8d/L/dTw5s2bAIA5c+Zg0aJF+P7777Fv3z4tf2VlJSZMmIAJEyYYEeGeuvMZ9RERhIeHIzQ0FL/88guA29uhzUb1fJ3dbR52vrKn0+nEpUuX4HA4sGjRIi3Xc889h7a2NlRXVxsy9nvpbg1FBHa7Hc3NzdpW3x9++AETJ0409dWEgbvXMDAwECKCqKgofP755ygsLMQjjzyCbdu24ciRIwgLC8ONGzfgdDqNDdDX+rLrOXv2bJele19Xf+rUKb87cYp0/R9ZS0uLNDQ0yGuvvSZRUVGm+0tU9Xw+nVcE3n33Xamvr5d169ZJZGSkHDx4UERud/oej0eWLVsmNptNysvLtff49NNPJSkpyXQXMepuDX2/i9raWklLS5OgoCB56aWXZMGCBRIcHCwbN24UEfPclbS3n9GOjg7Jzc2VhIQEU67mqZ6vs/uZh52X9rdv3y4ul8vvZN2ioiKJj4831U0Gu1tD3zGkvLxcpk2bJuPGjZPi4mLJzMyU4OBgKSws7Lexd9f91PBOdwT2aWpqkpiYGFNn1EOfNCZff/21OJ1OiYyMlLi4OPnqq6+05/6/S2Xs2LGyadMmEfH/H1tpaalkZ2fLiBEjJDExUWpqavpiqD2iej4flb+0e1rD/x80iouLZeXKlZKZmXnHK8AaRY/PqE9WVpZkZ2drzacZqJ6vM1W/uPWYg4cPH5bZs2fLzJkzZe7cuaaag531toGuq6uTxsZGSU1NlejoaKmvr+/7QRtI98Zk79694nQ6paioSMrKyuTtt9+WgIAAKSkp0c4v8BWksbFRFi9eLM8++6x23oXv4FBXVydFRUWm23+tej4R9b+0e1tDs584qFc+X6Nptryq5/NR+Yu7tzX0XSxO5FYj1tLS0v8h7oMeDfS1a9dkzZo1EhwcLFOnTtW2tqtMt8bE90teu3atxMTE+E32nJwciY2NlV27dnX5uT179khsbKy8//778uuvv8qsWbOkoaFBr2HpRvV8Pip/aetVQ7fbbcoaMp+183Wm6hc3a9izY+mJEyfk0KFD/R/CILqvmKSkpMi8efNE5PYv9tKlSzJlyhRJT0/XLvrj+2vl6tWrkpOTIzabTQYNGiQzZ870m1Rmo2q+gXTAULWGPsxn3XwDZR6yhtavYV/qcWOyd+9eeeutt6SwsFDbhy1y654SDz74YJdl0pKSEomIiJCKigrttR6PRwoLC8XhcEhiYqJUV1f3dDi6Uz3f3ah0wFC9hsxn7Xz3oso8ZA2tX0MjdLsx+euvv8TtdktISIikpqbK+PHjZfjw4dqH7o8//pDw8HB57733RET8TigbOXKk34lXp0+flvj4eL999kZTPZ+PygcM1WvIfNbO15mq85A1tH4NjdStxuTq1auSnp4uKSkpUltbqz0eFxcnGRkZIiJy5coV+eCDD+SBBx7QlqF8S1vTpk2TJUuW6DV23ameT0T9A4bqNWQ+a+fzUXkesobWr6HRur1i8vrrr0tpaamI3D5xJy8vT+Lj47UPVm1trUyePFkmTZqk3X65vr5eoqKiZM+ePXqNvU+onG+gHDBUrqEI84lYO99AmIesofVraKRuNyadT+TxbWlauHChLF261O91jY2NMmbMGHE6nfLKK69IWFiYTJ8+3fR35lQ9n+oHDBH1a8h8t1g1n4j685A1tH4NjWQT+e+a4b0wZcoULF26FOnp6dqlj+12O86dO4eqqiocOXIELpcL6enpvb5SrRFUytfW1oaAgAAAty6/bbfbkZqaiqCgIJSUlGiv+/PPP5GYmIj29nbExsbip59+wtNPP40dO3YgNDTUqOH3mEo1vBPms1a+gTgPWUPr17Df9LazOX/+vISGhsrx48e1x8x6BcWeUD2fiMjkyZO1u1V2vvFeTU2N7Ny5U5YvX649b0Wq15D51KDyPGQNrV/D/tTjxsS3VLV161Z58skntcfz8vIkKytLmpubez86A6mez0flA4bqNWQ+a+frTNV5yBpav4ZG6PHdhW02GwDg6NGjePnll1FeXo5Ro0bhyy+/xIsvvoiQkBDdVnWMoHo++e8/eJWVlRg2bBhiYmIAAGvXrkVubi4uXLhg5PB0oXoNmc/a+QD15yFraP0aGqI3Xc3169dlzJgxYrPZZPDgwfLxxx/r0i2Zher5RETeeOMNWbVqlXb55JCQEPnxxx+NHpZuVK8h86lB5XnIGlJ39fockxkzZkh2drZcv35dj/GYjsr5BsoBQ+UaijCf1Q2EecgaUnf0eleO1+uFw+HQawHHdFTPl5SUhKeeegoFBQUYMmSI0cPpE6rXkPmsT/V5yBpSd+iyXZisayAcMIjMjvPQ+lhD/bAxISIiItPo8a4cIiIiIr2xMSEiIiLTYGNCREREpsHGhIiIiEyDjQkRERGZBhsTIiIiMg02JkRERGQabEyISFcZGRmw2Wyw2WwICAhAaGgokpKSsGnTJnR0dNz3+2zZsgUPP/xw3w2UiEyJjQkR6S45ORlNTU2oq6tDaWkpnn/+eeTm5sLtdqO9vd3o4RGRibExISLdDR48GCNHjkR4eDgmTpyI1atXY/fu3SgtLcWWLVsAAAUFBRg/fjyCgoLw+OOPIycnBx6PBwBQUVGBzMxMXL58WVt9ycvLAwC0trZixYoVCA8PR1BQEOLj41FRUWFMUCLSHRsTIuoX06dPh8vlwq5duwAAdrsdGzZswOnTp7F161YcOHAAq1atAgAkJCTgs88+w0MPPYSmpiY0NTVhxYoVAIA333wTP//8M3bu3Inq6mq8+uqrSE5ORk1NjWHZiEg/vFcOEekqIyMDLS0t+O6777o8N3/+fFRXV+O3337r8ty3336LrKwsXLx4EcCtc0yWLVuGlpYW7TUNDQ0YPXo0GhoaEBYWpj0+Y8YMxMXF4aOPPtI9DxH1r0FGD4CIBg4Rgc1mAwDs27cP+fn5+P3333HlyhW0t7fjxo0buHbtGoYOHXrHnz958iS8Xi8iIiL8Hm9tbcWIESP6fPxE1PfYmBBRvzlz5gxGjRqFuro6uN1uZGdn48MPP0RwcDAqKyuxePFi3Lx5866NicfjgcPhQFVVVZdbzA8bNqw/IhBRH2NjQkT94sCBAzh58iSWL1+OqqoqdHR0YP369bDbb53q9s033/i9PjAwEF6v1++x6OhoeL1eXLhwAVOnTu23sRNR/2FjQkS6a21txd9//w2v14vm5maUlZUhPz8fbrcbaWlpOHXqFNra2vDFF19g9uzZOHz4MIqLi/3ew+l0wuPxYP/+/XC5XBg6dCgiIiKQmpqKtLQ0rF+/HtHR0fjnn3+wf/9+PPPMM5g1a5ZBiYlIL9yVQ0S6Kysrw2OPPQan04nk5GQcPHgQGzZswO7du+FwOOByuVBQUIBPPvkE48aNw/bt25Gfn+/3HgkJCcjKykJKSgoeffRRrFu3DgCwefNmpKWl4Z133kFkZCReeOEFHDt2DE888YQRUYlIZ9yVQ0RERKbBFRMiIiIyDTYmREREZBpsTIiIiMg02JgQERGRabAxISIiItNgY0JERESmwcaEiIiITIONCREREZkGGxMiIiIyDTYmREREZBpsTIiIiMg0/gUgh8Hy7lk6UQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[\"Close\"].plot()\n",
    "df.rolling(window=10).mean()[\"Close\"].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[\"Close\"].plot()\n",
    "df.rolling(window=30).mean()[\"Close\"].plot()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### expanding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[\"Close\"].expanding(min_periods=30).mean().plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[\"Close\"].expanding(min_periods=1000).mean().plot()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Exercise"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('./UDEMY_TSA_FINAL/Data/monthly_milk_production.csv', encoding='utf8')\n",
    "title = \"Monthly milk production: pounds per cow. Jan '62 - Dec '75\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(168, 2)"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "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>Date</th>\n",
       "      <th>Production</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1962-01</td>\n",
       "      <td>589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1962-02</td>\n",
       "      <td>561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1962-03</td>\n",
       "      <td>640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1962-04</td>\n",
       "      <td>656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1962-05</td>\n",
       "      <td>727</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Date  Production\n",
       "0  1962-01         589\n",
       "1  1962-02         561\n",
       "2  1962-03         640\n",
       "3  1962-04         656\n",
       "4  1962-05         727"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"Date\"]=pd.to_datetime(df[\"Date\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 168 entries, 0 to 167\n",
      "Data columns (total 2 columns):\n",
      " #   Column      Non-Null Count  Dtype         \n",
      "---  ------      --------------  -----         \n",
      " 0   Date        168 non-null    datetime64[ns]\n",
      " 1   Production  168 non-null    int64         \n",
      "dtypes: datetime64[ns](1), int64(1)\n",
      "memory usage: 2.8 KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "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>Date</th>\n",
       "      <th>Production</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1962-01-01</td>\n",
       "      <td>589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1962-02-01</td>\n",
       "      <td>561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1962-03-01</td>\n",
       "      <td>640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1962-04-01</td>\n",
       "      <td>656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1962-05-01</td>\n",
       "      <td>727</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Date  Production\n",
       "0 1962-01-01         589\n",
       "1 1962-02-01         561\n",
       "2 1962-03-01         640\n",
       "3 1962-04-01         656\n",
       "4 1962-05-01         727"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.index=df[\"Date\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=df.drop(\"Date\",axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "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>Production</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1962-01-01</th>\n",
       "      <td>589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1962-02-01</th>\n",
       "      <td>561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1962-03-01</th>\n",
       "      <td>640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1962-04-01</th>\n",
       "      <td>656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1962-05-01</th>\n",
       "      <td>727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1975-08-01</th>\n",
       "      <td>858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1975-09-01</th>\n",
       "      <td>817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1975-10-01</th>\n",
       "      <td>827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1975-11-01</th>\n",
       "      <td>797</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1975-12-01</th>\n",
       "      <td>843</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>168 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Production\n",
       "Date                  \n",
       "1962-01-01         589\n",
       "1962-02-01         561\n",
       "1962-03-01         640\n",
       "1962-04-01         656\n",
       "1962-05-01         727\n",
       "...                ...\n",
       "1975-08-01         858\n",
       "1975-09-01         817\n",
       "1975-10-01         827\n",
       "1975-11-01         797\n",
       "1975-12-01         843\n",
       "\n",
       "[168 rows x 1 columns]"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "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>Production</th>\n",
       "      <th>Month</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1962-01-01</th>\n",
       "      <td>589</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1962-02-01</th>\n",
       "      <td>561</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1962-03-01</th>\n",
       "      <td>640</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1962-04-01</th>\n",
       "      <td>656</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1962-05-01</th>\n",
       "      <td>727</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Production  Month\n",
       "Date                         \n",
       "1962-01-01         589      1\n",
       "1962-02-01         561      2\n",
       "1962-03-01         640      3\n",
       "1962-04-01         656      4\n",
       "1962-05-01         727      5"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"Month\"]=df.index.month\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby(\"Month\").boxplot(subplots=False,rot=45);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['January', 'February', 'March', 'April', 'May', 'June', 'July',\n",
       "       'August', 'September', 'October',\n",
       "       ...\n",
       "       'March', 'April', 'May', 'June', 'July', 'August', 'September',\n",
       "       'October', 'November', 'December'],\n",
       "      dtype='object', name='Date', length=168)"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.index.strftime('%B')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Production'}, xlabel='Month'>"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.boxplot(column=\"Production\",by=\"Month\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Exercise 2 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'c:\\\\Users\\\\Selim\\\\My python Stuff\\\\Time Series Jose Port'"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.read_csv(\"./UDEMY_TSA_FINAL/Data/UMTMVS.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "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>DATE</th>\n",
       "      <th>UMTMVS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1992-01-01</td>\n",
       "      <td>209438.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1992-02-01</td>\n",
       "      <td>232679.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1992-03-01</td>\n",
       "      <td>249673.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1992-04-01</td>\n",
       "      <td>239666.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1992-05-01</td>\n",
       "      <td>243231.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         DATE    UMTMVS\n",
       "0  1992-01-01  209438.0\n",
       "1  1992-02-01  232679.0\n",
       "2  1992-03-01  249673.0\n",
       "3  1992-04-01  239666.0\n",
       "4  1992-05-01  243231.0"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "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>UMTMVS</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DATE</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1992-01-01</th>\n",
       "      <td>209438.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1992-02-01</th>\n",
       "      <td>232679.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1992-03-01</th>\n",
       "      <td>249673.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1992-04-01</th>\n",
       "      <td>239666.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1992-05-01</th>\n",
       "      <td>243231.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              UMTMVS\n",
       "DATE                \n",
       "1992-01-01  209438.0\n",
       "1992-02-01  232679.0\n",
       "1992-03-01  249673.0\n",
       "1992-04-01  239666.0\n",
       "1992-05-01  243231.0"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# you could use\n",
    "# df=df.set_index(\"DATE\")\n",
    "\n",
    "df.index=df[\"DATE\"]\n",
    "df=df.drop(\"DATE\",axis=1)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['1992-01-01', '1992-02-01', '1992-03-01', '1992-04-01',\n",
       "               '1992-05-01', '1992-06-01', '1992-07-01', '1992-08-01',\n",
       "               '1992-09-01', '1992-10-01',\n",
       "               ...\n",
       "               '2018-04-01', '2018-05-01', '2018-06-01', '2018-07-01',\n",
       "               '2018-08-01', '2018-09-01', '2018-10-01', '2018-11-01',\n",
       "               '2018-12-01', '2019-01-01'],\n",
       "              dtype='datetime64[ns]', name='DATE', length=325, freq=None)"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# converting datetime index \n",
    "df.index=pd.to_datetime(df.index)\n",
    "df.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Selim\\AppData\\Roaming\\Python\\Python37\\site-packages\\ipykernel_launcher.py:1: FutureWarning: Indexing a DataFrame with a datetimelike index using a single string to slice the rows, like `frame[string]`, is deprecated and will be removed in a future version. Use `frame.loc[string]` instead.\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "-22.02277548131305"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#percentage decrease\n",
    "\n",
    "df.pct_change(periods=12)[\"2008-01\":\"2009-01\"][\"2009-01\"][\"UMTMVS\"].item()*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "UMTMVS    38.472149\n",
       "dtype: float64"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#percent increase between 2009 and 2019\n",
    "100*(df.loc[\"2019-01-01\"]-df.loc[\"2009-01-01\"])/df.loc[\"2009-01-01\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "424095.0"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"2015-01-01\":\"2015-12-31\"].min().item()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([288], dtype=int64), array([0], dtype=int64))"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "row_index, col_index = (df == df[\"2015\":\"2016\"].min().item()).values.nonzero()\n",
    "row_index, col_index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "UMTMVS    398051.0\n",
       "Name: 2016-01-01 00:00:00, dtype: float64"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[288]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "UMTMVS    337101.0\n",
       "Name: 2009-01-01 00:00:00, dtype: float64"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(df==df[\"2005\":].min().item()).values.nonzero()\n",
    "df.iloc[204]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "UMTMVS   2009-01-01\n",
       "dtype: datetime64[ns]"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#least value after 2015\n",
    "df.loc[\"2005-01-01\":].idxmin()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "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>UMTMVS</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DATE</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-08-01</th>\n",
       "      <td>529157.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-10-01</th>\n",
       "      <td>527031.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-01</th>\n",
       "      <td>525660.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-01</th>\n",
       "      <td>518285.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-01</th>\n",
       "      <td>516992.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-06-01</th>\n",
       "      <td>516935.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              UMTMVS\n",
       "DATE                \n",
       "2018-08-01  529157.0\n",
       "2018-10-01  527031.0\n",
       "2018-06-01  525660.0\n",
       "2018-03-01  518285.0\n",
       "2018-09-01  516992.0\n",
       "2014-06-01  516935.0"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.nlargest(6,\"UMTMVS\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "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>UMTMVS</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DATE</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-08-01</th>\n",
       "      <td>529157.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-10-01</th>\n",
       "      <td>527031.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-01</th>\n",
       "      <td>525660.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-01</th>\n",
       "      <td>518285.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-01</th>\n",
       "      <td>516992.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-06-01</th>\n",
       "      <td>516935.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              UMTMVS\n",
       "DATE                \n",
       "2018-08-01  529157.0\n",
       "2018-10-01  527031.0\n",
       "2018-06-01  525660.0\n",
       "2018-03-01  518285.0\n",
       "2018-09-01  516992.0\n",
       "2014-06-01  516935.0"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# what 6 months have the hightest value\n",
    "df.sort_values(by=\"UMTMVS\", ascending=False).head(6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Selim\\AppData\\Roaming\\Python\\Python37\\site-packages\\ipykernel_launcher.py:1: FutureWarning: Indexing a DataFrame with a datetimelike index using a single string to slice the rows, like `frame[string]`, is deprecated and will be removed in a future version. Use `frame.loc[string]` instead.\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([[95206.]])"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"2008-01\"].values-df[\"2009-01\"].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "UMTMVS    95206.0\n",
       "dtype: float64"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#lost millions in 2008\n",
    "df.loc[\"2008-01-01\"]-df.loc[\"2009-01-01\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[\"UMTMVS\"].resample(\"Y\").mean().plot.bar();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DATE\n",
       "1992-12-31    242002.000000\n",
       "1993-12-31    251708.083333\n",
       "1994-12-31    269842.666667\n",
       "1995-12-31    289973.083333\n",
       "1996-12-31    299765.666667\n",
       "1997-12-31    319558.250000\n",
       "1998-12-31    324984.416667\n",
       "1999-12-31    335990.583333\n",
       "2000-12-31    350715.333333\n",
       "2001-12-31    330874.916667\n",
       "2002-12-31    326226.916667\n",
       "2003-12-31    334615.666667\n",
       "2004-12-31    359080.833333\n",
       "2005-12-31    395173.083333\n",
       "2006-12-31    417962.666667\n",
       "2007-12-31    443288.083333\n",
       "2008-12-31    455749.500000\n",
       "2009-12-31    368648.250000\n",
       "2010-12-31    409273.083333\n",
       "2011-12-31    457657.833333\n",
       "2012-12-31    474727.333333\n",
       "2013-12-31    484145.416667\n",
       "2014-12-31    490629.916667\n",
       "2015-12-31    459918.333333\n",
       "2016-12-31    446224.500000\n",
       "2017-12-31    467076.333333\n",
       "2018-12-31    499964.166667\n",
       "2019-12-31    466791.000000\n",
       "Freq: A-DEC, Name: UMTMVS, dtype: float64"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"UMTMVS\"].resample(\"Y\").mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "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>UMTMVS</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DATE</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1992</th>\n",
       "      <td>242002.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1993</th>\n",
       "      <td>251708.083333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1994</th>\n",
       "      <td>269842.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>289973.083333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996</th>\n",
       "      <td>299765.666667</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             UMTMVS\n",
       "DATE               \n",
       "1992  242002.000000\n",
       "1993  251708.083333\n",
       "1994  269842.666667\n",
       "1995  289973.083333\n",
       "1996  299765.666667"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby(df.index.year).mean().head()#.boxplot(subplots=False,rot=45);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('2011-12-31 00:00:00', freq='A-DEC')"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# biggest increase in mean value from the previours year\"s mean value\n",
    "yearly_data=df.resample(\"Y\").mean()\n",
    "yearly_data_shift=yearly_data.shift(1)\n",
    "change=yearly_data-yearly_data_shift\n",
    "change[\"UMTMVS\"].idxmax()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "UMTMVS    48384.75\n",
       "dtype: float64"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby(df.index.year).mean().diff().max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "UMTMVS    2011\n",
       "dtype: int64"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby(df.index.year).mean().diff().idxmax()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='DATE'>"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#yearly rolling mean on top of the original data\n",
    "\n",
    "df.plot()\n",
    "df.rolling(window=12).mean()[\"UMTMVS\"].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Selim\\AppData\\Roaming\\Python\\Python37\\site-packages\\ipykernel_launcher.py:1: FutureWarning: Indexing a DataFrame with a datetimelike index using a single string to slice the rows, like `frame[string]`, is deprecated and will be removed in a future version. Use `frame.loc[string]` instead.\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "UMTMVS    2008-06\n",
       "dtype: period[M]"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#the value is peaked in 2008, how many months did it take to surpass this peak \n",
    "\n",
    "df[\"2008\"].idxmax().dt.to_period(\"M\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Selim\\AppData\\Roaming\\Python\\Python37\\site-packages\\ipykernel_launcher.py:1: FutureWarning: Indexing a DataFrame with a datetimelike index using a single string to slice the rows, like `frame[string]`, is deprecated and will be removed in a future version. Use `frame.loc[string]` instead.\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "UMTMVS    2014-03\n",
       "dtype: period[M]"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(df[\"2009\":]>df[\"2008\"].max()).idxmax().dt.to_period(\"M\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Selim\\AppData\\Roaming\\Python\\Python37\\site-packages\\ipykernel_launcher.py:1: FutureWarning: Indexing a DataFrame with a datetimelike index using a single string to slice the rows, like `frame[string]`, is deprecated and will be removed in a future version. Use `frame.loc[string]` instead.\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "UMTMVS    <69 * MonthEnds>\n",
       "dtype: object"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "((df[\"2009\":]>df[\"2008\"].max()).idxmax().dt.to_period(\"M\"))-(df[\"2008\"].idxmax().dt.to_period(\"M\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2008=df.loc[\"2008-01-01\":\"2009-01-01\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(UMTMVS   2008-06-01\n",
       " dtype: datetime64[ns],\n",
       " UMTMVS    510081.0\n",
       " dtype: float64)"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2008.idxmax(), df2008.max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.7.9"
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  "orig_nbformat": 4
 },
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}