COESSIN_2022_Introduction to Python.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Introduction to Python\n",
    "\n",
    "by Oladipo, Mumin O."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# learning objectives\n",
    "\n",
    "-import libraries\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-load data (.csv)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-select rows and columns\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-plot graphs\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-define functions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# let us write our first code "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hello coessin\n"
     ]
    }
   ],
   "source": [
    "print('hello coessin')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# import libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd #for handling tables and timeseries  \n",
    "import matplotlib.pyplot as plt  #for handling plots\n",
    "import numpy as np #for handling array which can be multidimensional"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# load csv files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "[Errno 2] No such file or directory: 'final.csv'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "Input \u001b[0;32mIn [2]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m data1 \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread_csv\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mfinal.csv\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mheader\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msep\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m,\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m      2\u001b[0m \u001b[38;5;28mprint\u001b[39m (data1)\n",
      "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.9/site-packages/pandas/util/_decorators.py:311\u001b[0m, in \u001b[0;36mdeprecate_nonkeyword_arguments.<locals>.decorate.<locals>.wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    305\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(args) \u001b[38;5;241m>\u001b[39m num_allow_args:\n\u001b[1;32m    306\u001b[0m     warnings\u001b[38;5;241m.\u001b[39mwarn(\n\u001b[1;32m    307\u001b[0m         msg\u001b[38;5;241m.\u001b[39mformat(arguments\u001b[38;5;241m=\u001b[39marguments),\n\u001b[1;32m    308\u001b[0m         \u001b[38;5;167;01mFutureWarning\u001b[39;00m,\n\u001b[1;32m    309\u001b[0m         stacklevel\u001b[38;5;241m=\u001b[39mstacklevel,\n\u001b[1;32m    310\u001b[0m     )\n\u001b[0;32m--> 311\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.9/site-packages/pandas/io/parsers/readers.py:680\u001b[0m, in \u001b[0;36mread_csv\u001b[0;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, error_bad_lines, warn_bad_lines, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options)\u001b[0m\n\u001b[1;32m    665\u001b[0m kwds_defaults \u001b[38;5;241m=\u001b[39m _refine_defaults_read(\n\u001b[1;32m    666\u001b[0m     dialect,\n\u001b[1;32m    667\u001b[0m     delimiter,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    676\u001b[0m     defaults\u001b[38;5;241m=\u001b[39m{\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdelimiter\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m,\u001b[39m\u001b[38;5;124m\"\u001b[39m},\n\u001b[1;32m    677\u001b[0m )\n\u001b[1;32m    678\u001b[0m kwds\u001b[38;5;241m.\u001b[39mupdate(kwds_defaults)\n\u001b[0;32m--> 680\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_read\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.9/site-packages/pandas/io/parsers/readers.py:575\u001b[0m, in \u001b[0;36m_read\u001b[0;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[1;32m    572\u001b[0m _validate_names(kwds\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnames\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m))\n\u001b[1;32m    574\u001b[0m \u001b[38;5;66;03m# Create the parser.\u001b[39;00m\n\u001b[0;32m--> 575\u001b[0m parser \u001b[38;5;241m=\u001b[39m \u001b[43mTextFileReader\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    577\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m chunksize \u001b[38;5;129;01mor\u001b[39;00m iterator:\n\u001b[1;32m    578\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m parser\n",
      "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.9/site-packages/pandas/io/parsers/readers.py:934\u001b[0m, in \u001b[0;36mTextFileReader.__init__\u001b[0;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[1;32m    931\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m kwds[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[1;32m    933\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles: IOHandles \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m--> 934\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_engine \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_make_engine\u001b[49m\u001b[43m(\u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mengine\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.9/site-packages/pandas/io/parsers/readers.py:1218\u001b[0m, in \u001b[0;36mTextFileReader._make_engine\u001b[0;34m(self, f, engine)\u001b[0m\n\u001b[1;32m   1214\u001b[0m     mode \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrb\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m   1215\u001b[0m \u001b[38;5;66;03m# error: No overload variant of \"get_handle\" matches argument types\u001b[39;00m\n\u001b[1;32m   1216\u001b[0m \u001b[38;5;66;03m# \"Union[str, PathLike[str], ReadCsvBuffer[bytes], ReadCsvBuffer[str]]\"\u001b[39;00m\n\u001b[1;32m   1217\u001b[0m \u001b[38;5;66;03m# , \"str\", \"bool\", \"Any\", \"Any\", \"Any\", \"Any\", \"Any\"\u001b[39;00m\n\u001b[0;32m-> 1218\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;241m=\u001b[39m \u001b[43mget_handle\u001b[49m\u001b[43m(\u001b[49m\u001b[43m  \u001b[49m\u001b[38;5;66;43;03m# type: ignore[call-overload]\u001b[39;49;00m\n\u001b[1;32m   1219\u001b[0m \u001b[43m    \u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1220\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1221\u001b[0m \u001b[43m    \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1222\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcompression\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcompression\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1223\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmemory_map\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmemory_map\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1224\u001b[0m \u001b[43m    \u001b[49m\u001b[43mis_text\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mis_text\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1225\u001b[0m \u001b[43m    \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding_errors\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstrict\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1226\u001b[0m \u001b[43m    \u001b[49m\u001b[43mstorage_options\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstorage_options\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1227\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1228\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m   1229\u001b[0m f \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles\u001b[38;5;241m.\u001b[39mhandle\n",
      "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.9/site-packages/pandas/io/common.py:786\u001b[0m, in \u001b[0;36mget_handle\u001b[0;34m(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)\u001b[0m\n\u001b[1;32m    781\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(handle, \u001b[38;5;28mstr\u001b[39m):\n\u001b[1;32m    782\u001b[0m     \u001b[38;5;66;03m# Check whether the filename is to be opened in binary mode.\u001b[39;00m\n\u001b[1;32m    783\u001b[0m     \u001b[38;5;66;03m# Binary mode does not support 'encoding' and 'newline'.\u001b[39;00m\n\u001b[1;32m    784\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mencoding \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mmode:\n\u001b[1;32m    785\u001b[0m         \u001b[38;5;66;03m# Encoding\u001b[39;00m\n\u001b[0;32m--> 786\u001b[0m         handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\n\u001b[1;32m    787\u001b[0m \u001b[43m            \u001b[49m\u001b[43mhandle\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    788\u001b[0m \u001b[43m            \u001b[49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    789\u001b[0m \u001b[43m            \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    790\u001b[0m \u001b[43m            \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    791\u001b[0m \u001b[43m            \u001b[49m\u001b[43mnewline\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m    792\u001b[0m \u001b[43m        \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    793\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    794\u001b[0m         \u001b[38;5;66;03m# Binary mode\u001b[39;00m\n\u001b[1;32m    795\u001b[0m         handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mopen\u001b[39m(handle, ioargs\u001b[38;5;241m.\u001b[39mmode)\n",
      "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'final.csv'"
     ]
    }
   ],
   "source": [
    "data1 = pd.read_csv('final.csv', header=0, sep=',')\n",
    "print (data1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "[Errno 2] File TA00716_2020.csv does not exist: 'TA00716_2020.csv'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-97-45a9d180711c>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mdata\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'TA00716_2020.csv'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mheader\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0msep\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m','\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      2\u001b[0m \u001b[1;31m# data = pd.DataFrame(data)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[0mprint\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\io\\parsers.py\u001b[0m in \u001b[0;36mparser_f\u001b[1;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, dialect, error_bad_lines, warn_bad_lines, delim_whitespace, low_memory, memory_map, float_precision)\u001b[0m\n\u001b[0;32m    674\u001b[0m         )\n\u001b[0;32m    675\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 676\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0m_read\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfilepath_or_buffer\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkwds\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    677\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    678\u001b[0m     \u001b[0mparser_f\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__name__\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\io\\parsers.py\u001b[0m in \u001b[0;36m_read\u001b[1;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[0;32m    446\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    447\u001b[0m     \u001b[1;31m# Create the parser.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 448\u001b[1;33m     \u001b[0mparser\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mTextFileReader\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfp_or_buf\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    449\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    450\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mchunksize\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0miterator\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\io\\parsers.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[0;32m    878\u001b[0m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0moptions\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"has_index_names\"\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mkwds\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"has_index_names\"\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    879\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 880\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_make_engine\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mengine\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    881\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    882\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mclose\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\io\\parsers.py\u001b[0m in \u001b[0;36m_make_engine\u001b[1;34m(self, engine)\u001b[0m\n\u001b[0;32m   1112\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0m_make_engine\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mengine\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m\"c\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1113\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mengine\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;34m\"c\"\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1114\u001b[1;33m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_engine\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mCParserWrapper\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mf\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0moptions\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1115\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1116\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mengine\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;34m\"python\"\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\ProgramData\\Anaconda3\\lib\\site-packages\\pandas\\io\\parsers.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, src, **kwds)\u001b[0m\n\u001b[0;32m   1889\u001b[0m         \u001b[0mkwds\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"usecols\"\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0musecols\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1890\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1891\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_reader\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mparsers\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mTextReader\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msrc\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1892\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0munnamed_cols\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_reader\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0munnamed_cols\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1893\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mpandas\\_libs\\parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader.__cinit__\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;32mpandas\\_libs\\parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader._setup_parser_source\u001b[1;34m()\u001b[0m\n",
      "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] File TA00716_2020.csv does not exist: 'TA00716_2020.csv'"
     ]
    }
   ],
   "source": [
    "data = pd.read_csv('TA00716_2020.csv', header=0, sep=',')\n",
    "print (data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "[Errno 2] No such file or directory: 'C:/Users/SAMSUNGPC/solar radiation/TA00716_2020.csv'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "Input \u001b[0;32mIn [3]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m data \u001b[38;5;241m=\u001b[39m \u001b[43mpd\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread_csv\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mC:/Users/SAMSUNGPC/solar radiation/TA00716_2020.csv\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mheader\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msep\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m,\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m      2\u001b[0m data \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mDataFrame(data)\n\u001b[1;32m      3\u001b[0m \u001b[38;5;28mprint\u001b[39m (data)\n",
      "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.9/site-packages/pandas/util/_decorators.py:311\u001b[0m, in \u001b[0;36mdeprecate_nonkeyword_arguments.<locals>.decorate.<locals>.wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    305\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(args) \u001b[38;5;241m>\u001b[39m num_allow_args:\n\u001b[1;32m    306\u001b[0m     warnings\u001b[38;5;241m.\u001b[39mwarn(\n\u001b[1;32m    307\u001b[0m         msg\u001b[38;5;241m.\u001b[39mformat(arguments\u001b[38;5;241m=\u001b[39marguments),\n\u001b[1;32m    308\u001b[0m         \u001b[38;5;167;01mFutureWarning\u001b[39;00m,\n\u001b[1;32m    309\u001b[0m         stacklevel\u001b[38;5;241m=\u001b[39mstacklevel,\n\u001b[1;32m    310\u001b[0m     )\n\u001b[0;32m--> 311\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.9/site-packages/pandas/io/parsers/readers.py:680\u001b[0m, in \u001b[0;36mread_csv\u001b[0;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, error_bad_lines, warn_bad_lines, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options)\u001b[0m\n\u001b[1;32m    665\u001b[0m kwds_defaults \u001b[38;5;241m=\u001b[39m _refine_defaults_read(\n\u001b[1;32m    666\u001b[0m     dialect,\n\u001b[1;32m    667\u001b[0m     delimiter,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    676\u001b[0m     defaults\u001b[38;5;241m=\u001b[39m{\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdelimiter\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m,\u001b[39m\u001b[38;5;124m\"\u001b[39m},\n\u001b[1;32m    677\u001b[0m )\n\u001b[1;32m    678\u001b[0m kwds\u001b[38;5;241m.\u001b[39mupdate(kwds_defaults)\n\u001b[0;32m--> 680\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_read\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.9/site-packages/pandas/io/parsers/readers.py:575\u001b[0m, in \u001b[0;36m_read\u001b[0;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[1;32m    572\u001b[0m _validate_names(kwds\u001b[38;5;241m.\u001b[39mget(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnames\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m))\n\u001b[1;32m    574\u001b[0m \u001b[38;5;66;03m# Create the parser.\u001b[39;00m\n\u001b[0;32m--> 575\u001b[0m parser \u001b[38;5;241m=\u001b[39m \u001b[43mTextFileReader\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_or_buffer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    577\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m chunksize \u001b[38;5;129;01mor\u001b[39;00m iterator:\n\u001b[1;32m    578\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m parser\n",
      "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.9/site-packages/pandas/io/parsers/readers.py:934\u001b[0m, in \u001b[0;36mTextFileReader.__init__\u001b[0;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[1;32m    931\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moptions[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m kwds[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhas_index_names\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[1;32m    933\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles: IOHandles \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m--> 934\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_engine \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_make_engine\u001b[49m\u001b[43m(\u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mengine\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.9/site-packages/pandas/io/parsers/readers.py:1218\u001b[0m, in \u001b[0;36mTextFileReader._make_engine\u001b[0;34m(self, f, engine)\u001b[0m\n\u001b[1;32m   1214\u001b[0m     mode \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrb\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m   1215\u001b[0m \u001b[38;5;66;03m# error: No overload variant of \"get_handle\" matches argument types\u001b[39;00m\n\u001b[1;32m   1216\u001b[0m \u001b[38;5;66;03m# \"Union[str, PathLike[str], ReadCsvBuffer[bytes], ReadCsvBuffer[str]]\"\u001b[39;00m\n\u001b[1;32m   1217\u001b[0m \u001b[38;5;66;03m# , \"str\", \"bool\", \"Any\", \"Any\", \"Any\", \"Any\", \"Any\"\u001b[39;00m\n\u001b[0;32m-> 1218\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;241m=\u001b[39m \u001b[43mget_handle\u001b[49m\u001b[43m(\u001b[49m\u001b[43m  \u001b[49m\u001b[38;5;66;43;03m# type: ignore[call-overload]\u001b[39;49;00m\n\u001b[1;32m   1219\u001b[0m \u001b[43m    \u001b[49m\u001b[43mf\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1220\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1221\u001b[0m \u001b[43m    \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1222\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcompression\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcompression\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1223\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmemory_map\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmemory_map\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1224\u001b[0m \u001b[43m    \u001b[49m\u001b[43mis_text\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mis_text\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1225\u001b[0m \u001b[43m    \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mencoding_errors\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstrict\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1226\u001b[0m \u001b[43m    \u001b[49m\u001b[43mstorage_options\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstorage_options\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1227\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1228\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m   1229\u001b[0m f \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhandles\u001b[38;5;241m.\u001b[39mhandle\n",
      "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.9/site-packages/pandas/io/common.py:786\u001b[0m, in \u001b[0;36mget_handle\u001b[0;34m(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)\u001b[0m\n\u001b[1;32m    781\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(handle, \u001b[38;5;28mstr\u001b[39m):\n\u001b[1;32m    782\u001b[0m     \u001b[38;5;66;03m# Check whether the filename is to be opened in binary mode.\u001b[39;00m\n\u001b[1;32m    783\u001b[0m     \u001b[38;5;66;03m# Binary mode does not support 'encoding' and 'newline'.\u001b[39;00m\n\u001b[1;32m    784\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mencoding \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m ioargs\u001b[38;5;241m.\u001b[39mmode:\n\u001b[1;32m    785\u001b[0m         \u001b[38;5;66;03m# Encoding\u001b[39;00m\n\u001b[0;32m--> 786\u001b[0m         handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\n\u001b[1;32m    787\u001b[0m \u001b[43m            \u001b[49m\u001b[43mhandle\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    788\u001b[0m \u001b[43m            \u001b[49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    789\u001b[0m \u001b[43m            \u001b[49m\u001b[43mencoding\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mioargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencoding\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    790\u001b[0m \u001b[43m            \u001b[49m\u001b[43merrors\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43merrors\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    791\u001b[0m \u001b[43m            \u001b[49m\u001b[43mnewline\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m    792\u001b[0m \u001b[43m        \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    793\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    794\u001b[0m         \u001b[38;5;66;03m# Binary mode\u001b[39;00m\n\u001b[1;32m    795\u001b[0m         handle \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mopen\u001b[39m(handle, ioargs\u001b[38;5;241m.\u001b[39mmode)\n",
      "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'C:/Users/SAMSUNGPC/solar radiation/TA00716_2020.csv'"
     ]
    }
   ],
   "source": [
    "data = pd.read_csv('C:/Users/SAMSUNGPC/solar radiation/TA00716_2020.csv', header=0, sep=',')\n",
    "data = pd.DataFrame(data)\n",
    "print (data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                    Daily hi Daily low Day High  Day low Night hi Night low   \\\n",
      "DATE                                                                           \n",
      "2019-06-14 00:00:00  6786.53   28.3379  6786.53  28.3379  709.026    382.587   \n",
      "2019-06-15 00:00:00  2633.81   29.7295  2633.81  46.0343  522.746    30.0359   \n",
      "2019-06-16 00:00:00  3333.62   37.2908  3333.62  42.5749  2496.46    57.6126   \n",
      "2019-06-18 00:00:00  6006.84         0  6006.84        0        0          0   \n",
      "2019-06-20 00:00:00  25248.7   213.895  25248.7  213.895  7062.87    4847.75   \n",
      "...                      ...       ...      ...      ...      ...        ...   \n",
      "Range                5890.95       NaN      NaN      NaN  Maximum    3391.04   \n",
      "Minimum              2.78828       NaN      NaN      NaN      Sum    35958.7   \n",
      "Maximum              5893.74       NaN      NaN      NaN    Count        117   \n",
      "Sum                   140309       NaN      NaN      NaN      NaN        NaN   \n",
      "Count                    209       NaN      NaN      NaN      NaN        NaN   \n",
      "\n",
      "                     Daily AVEDEV Day AVEDEV   Night AVEDEV     T       P0  \\\n",
      "DATE                                                                         \n",
      "2019-06-14 00:00:00    805.835685    847.605     225.164040  79.0  743.000   \n",
      "2019-06-15 00:00:00    421.472868    156.619     265.600833  79.0  741.900   \n",
      "2019-06-16 00:00:00    610.122198    923.265     134.365898  86.0  740.875   \n",
      "2019-06-18 00:00:00   1197.325591    615.678     195.591297  84.0  743.200   \n",
      "2019-06-20 00:00:00   1327.242351     2169.3     344.867771  79.0  741.050   \n",
      "...                           ...        ...            ...   ...      ...   \n",
      "Range                         NaN    Maximum    5893.742765   NaN      NaN   \n",
      "Minimum                       NaN        Sum  109635.608190   NaN      NaN   \n",
      "Maximum                       NaN      Count     113.000000   NaN      NaN   \n",
      "Sum                           NaN        NaN            NaN   NaN      NaN   \n",
      "Count                         NaN        NaN            NaN   NaN      NaN   \n",
      "\n",
      "                              P          U        Ff         Td  \n",
      "DATE                                                             \n",
      "2019-06-14 00:00:00  762.000000  89.000000  4.000000  75.000000  \n",
      "2019-06-15 00:00:00  760.850000  81.750000  3.000000  72.750000  \n",
      "2019-06-16 00:00:00  759.550000  59.750000  4.250000  69.000000  \n",
      "2019-06-18 00:00:00  762.000000  70.000000  4.000000  73.000000  \n",
      "2019-06-20 00:00:00  759.983333  84.833333  3.833333  73.666667  \n",
      "...                         ...        ...       ...        ...  \n",
      "Range                       NaN        NaN       NaN        NaN  \n",
      "Minimum                     NaN        NaN       NaN        NaN  \n",
      "Maximum                     NaN        NaN       NaN        NaN  \n",
      "Sum                         NaN        NaN       NaN        NaN  \n",
      "Count                       NaN        NaN       NaN        NaN  \n",
      "\n",
      "[229 rows x 15 columns]\n"
     ]
    }
   ],
   "source": [
    "data_met = pd.read_excel('data_file_01_SD_1.xlsx', index_col = 0, sheet_name='VTX3')\n",
    "print (data_met)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp (UTC)</th>\n",
       "      <th>atmosphericpressure AVG (kPa)</th>\n",
       "      <th>lightningdistance AVG (km)</th>\n",
       "      <th>lightningevents (-)</th>\n",
       "      <th>precipitation (mm)</th>\n",
       "      <th>radiation AVG (W/m2)</th>\n",
       "      <th>relativehumidity AVG (-)</th>\n",
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       "      <th>winddirection (degrees)</th>\n",
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       "      <td>0.553917</td>\n",
       "      <td>32.508333</td>\n",
       "      <td>33.0</td>\n",
       "      <td>31.9</td>\n",
       "      <td>224.774306</td>\n",
       "      <td>1.308333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-03-26 13:00</td>\n",
       "      <td>98.115000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>716.916667</td>\n",
       "      <td>0.529417</td>\n",
       "      <td>33.225000</td>\n",
       "      <td>33.5</td>\n",
       "      <td>32.9</td>\n",
       "      <td>223.653068</td>\n",
       "      <td>1.551667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-03-26 14:00</td>\n",
       "      <td>98.015000</td>\n",
       "      <td>2.833333</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>538.000000</td>\n",
       "      <td>0.519167</td>\n",
       "      <td>33.508333</td>\n",
       "      <td>34.0</td>\n",
       "      <td>33.2</td>\n",
       "      <td>252.268197</td>\n",
       "      <td>1.140000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2020-03-26 15:00</td>\n",
       "      <td>98.001667</td>\n",
       "      <td>6.666667</td>\n",
       "      <td>77.0</td>\n",
       "      <td>9.932</td>\n",
       "      <td>146.583333</td>\n",
       "      <td>0.567182</td>\n",
       "      <td>31.818182</td>\n",
       "      <td>33.2</td>\n",
       "      <td>25.3</td>\n",
       "      <td>314.933435</td>\n",
       "      <td>1.571667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2020-03-26 16:00</td>\n",
       "      <td>98.028333</td>\n",
       "      <td>7.833333</td>\n",
       "      <td>611.0</td>\n",
       "      <td>17.936</td>\n",
       "      <td>43.833333</td>\n",
       "      <td>0.896750</td>\n",
       "      <td>24.316667</td>\n",
       "      <td>25.9</td>\n",
       "      <td>22.9</td>\n",
       "      <td>172.393683</td>\n",
       "      <td>3.104167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2020-03-26 17:00</td>\n",
       "      <td>98.077500</td>\n",
       "      <td>4.666667</td>\n",
       "      <td>271.0</td>\n",
       "      <td>4.083</td>\n",
       "      <td>6.750000</td>\n",
       "      <td>0.928417</td>\n",
       "      <td>23.741667</td>\n",
       "      <td>24.2</td>\n",
       "      <td>23.1</td>\n",
       "      <td>212.849966</td>\n",
       "      <td>2.084167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2020-03-26 18:00</td>\n",
       "      <td>98.163333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.085</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.934667</td>\n",
       "      <td>24.308333</td>\n",
       "      <td>24.5</td>\n",
       "      <td>24.1</td>\n",
       "      <td>186.583533</td>\n",
       "      <td>1.248333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2020-03-26 19:00</td>\n",
       "      <td>98.285833</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.948250</td>\n",
       "      <td>24.708333</td>\n",
       "      <td>24.9</td>\n",
       "      <td>24.5</td>\n",
       "      <td>187.262667</td>\n",
       "      <td>0.681667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2020-03-26 20:00</td>\n",
       "      <td>98.375833</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.944667</td>\n",
       "      <td>25.316667</td>\n",
       "      <td>25.6</td>\n",
       "      <td>25.0</td>\n",
       "      <td>184.492661</td>\n",
       "      <td>1.240833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2020-03-26 21:00</td>\n",
       "      <td>98.428333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.941583</td>\n",
       "      <td>25.158333</td>\n",
       "      <td>25.4</td>\n",
       "      <td>25.0</td>\n",
       "      <td>184.196290</td>\n",
       "      <td>0.858333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2020-03-26 22:00</td>\n",
       "      <td>98.436667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.967583</td>\n",
       "      <td>24.883333</td>\n",
       "      <td>25.2</td>\n",
       "      <td>24.5</td>\n",
       "      <td>181.850374</td>\n",
       "      <td>0.574167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2020-03-26 23:00</td>\n",
       "      <td>98.381667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.977750</td>\n",
       "      <td>24.841667</td>\n",
       "      <td>24.9</td>\n",
       "      <td>24.8</td>\n",
       "      <td>186.596618</td>\n",
       "      <td>0.699167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2020-03-27 00:00</td>\n",
       "      <td>98.335833</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.991333</td>\n",
       "      <td>25.083333</td>\n",
       "      <td>25.2</td>\n",
       "      <td>25.0</td>\n",
       "      <td>218.197262</td>\n",
       "      <td>0.651667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2020-03-27 01:00</td>\n",
       "      <td>98.249167</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.998833</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>25.1</td>\n",
       "      <td>24.9</td>\n",
       "      <td>199.994611</td>\n",
       "      <td>0.873333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2020-03-27 02:00</td>\n",
       "      <td>98.188333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.999417</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>210.608968</td>\n",
       "      <td>0.883333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2020-03-27 03:00</td>\n",
       "      <td>98.213333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.999833</td>\n",
       "      <td>25.016667</td>\n",
       "      <td>25.1</td>\n",
       "      <td>25.0</td>\n",
       "      <td>198.608772</td>\n",
       "      <td>1.093333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2020-03-27 04:00</td>\n",
       "      <td>98.242500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.998833</td>\n",
       "      <td>25.125000</td>\n",
       "      <td>25.2</td>\n",
       "      <td>25.1</td>\n",
       "      <td>195.777922</td>\n",
       "      <td>1.266667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2020-03-27 05:00</td>\n",
       "      <td>98.318333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.999417</td>\n",
       "      <td>25.175000</td>\n",
       "      <td>25.2</td>\n",
       "      <td>25.1</td>\n",
       "      <td>216.213377</td>\n",
       "      <td>1.036667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2020-03-27 06:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2020-03-27 07:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2020-03-27 08:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2020-03-27 09:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     timestamp (UTC)  atmosphericpressure AVG (kPa)  \\\n",
       "0   2020-03-26 10:00                            NaN   \n",
       "1   2020-03-26 11:00                      98.356667   \n",
       "2   2020-03-26 12:00                      98.236667   \n",
       "3   2020-03-26 13:00                      98.115000   \n",
       "4   2020-03-26 14:00                      98.015000   \n",
       "5   2020-03-26 15:00                      98.001667   \n",
       "6   2020-03-26 16:00                      98.028333   \n",
       "7   2020-03-26 17:00                      98.077500   \n",
       "8   2020-03-26 18:00                      98.163333   \n",
       "9   2020-03-26 19:00                      98.285833   \n",
       "10  2020-03-26 20:00                      98.375833   \n",
       "11  2020-03-26 21:00                      98.428333   \n",
       "12  2020-03-26 22:00                      98.436667   \n",
       "13  2020-03-26 23:00                      98.381667   \n",
       "14  2020-03-27 00:00                      98.335833   \n",
       "15  2020-03-27 01:00                      98.249167   \n",
       "16  2020-03-27 02:00                      98.188333   \n",
       "17  2020-03-27 03:00                      98.213333   \n",
       "18  2020-03-27 04:00                      98.242500   \n",
       "19  2020-03-27 05:00                      98.318333   \n",
       "20  2020-03-27 06:00                            NaN   \n",
       "21  2020-03-27 07:00                            NaN   \n",
       "22  2020-03-27 08:00                            NaN   \n",
       "23  2020-03-27 09:00                            NaN   \n",
       "\n",
       "    lightningdistance AVG (km)  lightningevents (-)  precipitation (mm)  \\\n",
       "0                          NaN                  NaN                 NaN   \n",
       "1                     0.000000                  0.0               0.000   \n",
       "2                     0.000000                  0.0               0.000   \n",
       "3                     0.000000                  0.0               0.000   \n",
       "4                     2.833333                  1.0               0.000   \n",
       "5                     6.666667                 77.0               9.932   \n",
       "6                     7.833333                611.0              17.936   \n",
       "7                     4.666667                271.0               4.083   \n",
       "8                     0.000000                  0.0               0.085   \n",
       "9                     0.000000                  0.0               0.000   \n",
       "10                    0.000000                  0.0               0.000   \n",
       "11                    0.000000                  0.0               0.000   \n",
       "12                    0.000000                  0.0               0.000   \n",
       "13                    0.000000                  0.0               0.000   \n",
       "14                    0.000000                  0.0               0.000   \n",
       "15                    0.000000                  0.0               0.000   \n",
       "16                    0.000000                  0.0               0.000   \n",
       "17                    0.000000                  0.0               0.000   \n",
       "18                    0.000000                  0.0               0.000   \n",
       "19                    0.000000                  0.0               0.000   \n",
       "20                         NaN                  NaN                 NaN   \n",
       "21                         NaN                  NaN                 NaN   \n",
       "22                         NaN                  NaN                 NaN   \n",
       "23                         NaN                  NaN                 NaN   \n",
       "\n",
       "    radiation AVG (W/m2)  relativehumidity AVG (-)  \\\n",
       "0                    NaN                       NaN   \n",
       "1             933.416667                  0.586333   \n",
       "2             817.750000                  0.553917   \n",
       "3             716.916667                  0.529417   \n",
       "4             538.000000                  0.519167   \n",
       "5             146.583333                  0.567182   \n",
       "6              43.833333                  0.896750   \n",
       "7               6.750000                  0.928417   \n",
       "8               0.000000                  0.934667   \n",
       "9               0.000000                  0.948250   \n",
       "10              0.000000                  0.944667   \n",
       "11              0.000000                  0.941583   \n",
       "12              0.000000                  0.967583   \n",
       "13              0.000000                  0.977750   \n",
       "14              0.000000                  0.991333   \n",
       "15              0.000000                  0.998833   \n",
       "16              0.000000                  0.999417   \n",
       "17              0.000000                  0.999833   \n",
       "18              0.000000                  0.998833   \n",
       "19              0.750000                  0.999417   \n",
       "20                   NaN                       NaN   \n",
       "21                   NaN                       NaN   \n",
       "22                   NaN                       NaN   \n",
       "23                   NaN                       NaN   \n",
       "\n",
       "    temperature AVG (degrees Celsius)  temperature MAX (degrees Celsius)  \\\n",
       "0                                 NaN                                NaN   \n",
       "1                           31.458333                               32.0   \n",
       "2                           32.508333                               33.0   \n",
       "3                           33.225000                               33.5   \n",
       "4                           33.508333                               34.0   \n",
       "5                           31.818182                               33.2   \n",
       "6                           24.316667                               25.9   \n",
       "7                           23.741667                               24.2   \n",
       "8                           24.308333                               24.5   \n",
       "9                           24.708333                               24.9   \n",
       "10                          25.316667                               25.6   \n",
       "11                          25.158333                               25.4   \n",
       "12                          24.883333                               25.2   \n",
       "13                          24.841667                               24.9   \n",
       "14                          25.083333                               25.2   \n",
       "15                          25.000000                               25.1   \n",
       "16                          25.000000                               25.0   \n",
       "17                          25.016667                               25.1   \n",
       "18                          25.125000                               25.2   \n",
       "19                          25.175000                               25.2   \n",
       "20                                NaN                                NaN   \n",
       "21                                NaN                                NaN   \n",
       "22                                NaN                                NaN   \n",
       "23                                NaN                                NaN   \n",
       "\n",
       "    temperature MIN (degrees Celsius)  winddirection (degrees)  \\\n",
       "0                                 NaN                      NaN   \n",
       "1                                30.9               251.751954   \n",
       "2                                31.9               224.774306   \n",
       "3                                32.9               223.653068   \n",
       "4                                33.2               252.268197   \n",
       "5                                25.3               314.933435   \n",
       "6                                22.9               172.393683   \n",
       "7                                23.1               212.849966   \n",
       "8                                24.1               186.583533   \n",
       "9                                24.5               187.262667   \n",
       "10                               25.0               184.492661   \n",
       "11                               25.0               184.196290   \n",
       "12                               24.5               181.850374   \n",
       "13                               24.8               186.596618   \n",
       "14                               25.0               218.197262   \n",
       "15                               24.9               199.994611   \n",
       "16                               25.0               210.608968   \n",
       "17                               25.0               198.608772   \n",
       "18                               25.1               195.777922   \n",
       "19                               25.1               216.213377   \n",
       "20                                NaN                      NaN   \n",
       "21                                NaN                      NaN   \n",
       "22                                NaN                      NaN   \n",
       "23                                NaN                      NaN   \n",
       "\n",
       "    windspeed AVG (m/s)  \n",
       "0                   NaN  \n",
       "1              1.313333  \n",
       "2              1.308333  \n",
       "3              1.551667  \n",
       "4              1.140000  \n",
       "5              1.571667  \n",
       "6              3.104167  \n",
       "7              2.084167  \n",
       "8              1.248333  \n",
       "9              0.681667  \n",
       "10             1.240833  \n",
       "11             0.858333  \n",
       "12             0.574167  \n",
       "13             0.699167  \n",
       "14             0.651667  \n",
       "15             0.873333  \n",
       "16             0.883333  \n",
       "17             1.093333  \n",
       "18             1.266667  \n",
       "19             1.036667  \n",
       "20                  NaN  \n",
       "21                  NaN  \n",
       "22                  NaN  \n",
       "23                  NaN  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(24)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "data": {
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       "    .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>atmosphericpressure AVG (kPa)</th>\n",
       "      <th>lightningdistance AVG (km)</th>\n",
       "      <th>lightningevents (-)</th>\n",
       "      <th>precipitation (mm)</th>\n",
       "      <th>radiation AVG (W/m2)</th>\n",
       "      <th>relativehumidity AVG (-)</th>\n",
       "      <th>temperature AVG (degrees Celsius)</th>\n",
       "      <th>temperature MAX (degrees Celsius)</th>\n",
       "      <th>temperature MIN (degrees Celsius)</th>\n",
       "      <th>winddirection (degrees)</th>\n",
       "      <th>windspeed AVG (m/s)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5264.000000</td>\n",
       "      <td>5264.000000</td>\n",
       "      <td>5264.000000</td>\n",
       "      <td>5264.000000</td>\n",
       "      <td>5264.000000</td>\n",
       "      <td>5260.000000</td>\n",
       "      <td>5264.000000</td>\n",
       "      <td>5264.000000</td>\n",
       "      <td>5264.000000</td>\n",
       "      <td>5055.000000</td>\n",
       "      <td>5055.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>98.525136</td>\n",
       "      <td>0.213971</td>\n",
       "      <td>1.137158</td>\n",
       "      <td>0.164754</td>\n",
       "      <td>161.113953</td>\n",
       "      <td>0.828567</td>\n",
       "      <td>25.740955</td>\n",
       "      <td>26.121903</td>\n",
       "      <td>25.373385</td>\n",
       "      <td>186.284013</td>\n",
       "      <td>1.061756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.184914</td>\n",
       "      <td>1.175866</td>\n",
       "      <td>15.078986</td>\n",
       "      <td>1.508054</td>\n",
       "      <td>232.625099</td>\n",
       "      <td>0.132406</td>\n",
       "      <td>3.082513</td>\n",
       "      <td>3.230734</td>\n",
       "      <td>2.963004</td>\n",
       "      <td>72.946231</td>\n",
       "      <td>0.510739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>97.885000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.200667</td>\n",
       "      <td>19.358333</td>\n",
       "      <td>19.500000</td>\n",
       "      <td>19.200000</td>\n",
       "      <td>0.020588</td>\n",
       "      <td>0.209091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>98.405833</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.755750</td>\n",
       "      <td>23.389583</td>\n",
       "      <td>23.600000</td>\n",
       "      <td>23.200000</td>\n",
       "      <td>154.970724</td>\n",
       "      <td>0.673333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>98.535000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.916667</td>\n",
       "      <td>0.871208</td>\n",
       "      <td>25.091667</td>\n",
       "      <td>25.450000</td>\n",
       "      <td>24.800000</td>\n",
       "      <td>190.404511</td>\n",
       "      <td>0.994167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>98.652500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>285.791667</td>\n",
       "      <td>0.924583</td>\n",
       "      <td>27.675000</td>\n",
       "      <td>28.300000</td>\n",
       "      <td>27.200000</td>\n",
       "      <td>223.645777</td>\n",
       "      <td>1.327917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>99.170833</td>\n",
       "      <td>14.666667</td>\n",
       "      <td>611.000000</td>\n",
       "      <td>57.974000</td>\n",
       "      <td>1100.750000</td>\n",
       "      <td>0.999917</td>\n",
       "      <td>35.566667</td>\n",
       "      <td>35.800000</td>\n",
       "      <td>35.400000</td>\n",
       "      <td>359.741464</td>\n",
       "      <td>5.280833</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       atmosphericpressure AVG (kPa)  lightningdistance AVG (km)  \\\n",
       "count                    5264.000000                 5264.000000   \n",
       "mean                       98.525136                    0.213971   \n",
       "std                         0.184914                    1.175866   \n",
       "min                        97.885000                    0.000000   \n",
       "25%                        98.405833                    0.000000   \n",
       "50%                        98.535000                    0.000000   \n",
       "75%                        98.652500                    0.000000   \n",
       "max                        99.170833                   14.666667   \n",
       "\n",
       "       lightningevents (-)  precipitation (mm)  radiation AVG (W/m2)  \\\n",
       "count          5264.000000         5264.000000           5264.000000   \n",
       "mean              1.137158            0.164754            161.113953   \n",
       "std              15.078986            1.508054            232.625099   \n",
       "min               0.000000            0.000000              0.000000   \n",
       "25%               0.000000            0.000000              0.000000   \n",
       "50%               0.000000            0.000000              4.916667   \n",
       "75%               0.000000            0.000000            285.791667   \n",
       "max             611.000000           57.974000           1100.750000   \n",
       "\n",
       "       relativehumidity AVG (-)  temperature AVG (degrees Celsius)  \\\n",
       "count               5260.000000                        5264.000000   \n",
       "mean                   0.828567                          25.740955   \n",
       "std                    0.132406                           3.082513   \n",
       "min                    0.200667                          19.358333   \n",
       "25%                    0.755750                          23.389583   \n",
       "50%                    0.871208                          25.091667   \n",
       "75%                    0.924583                          27.675000   \n",
       "max                    0.999917                          35.566667   \n",
       "\n",
       "       temperature MAX (degrees Celsius)  temperature MIN (degrees Celsius)  \\\n",
       "count                        5264.000000                        5264.000000   \n",
       "mean                           26.121903                          25.373385   \n",
       "std                             3.230734                           2.963004   \n",
       "min                            19.500000                          19.200000   \n",
       "25%                            23.600000                          23.200000   \n",
       "50%                            25.450000                          24.800000   \n",
       "75%                            28.300000                          27.200000   \n",
       "max                            35.800000                          35.400000   \n",
       "\n",
       "       winddirection (degrees)  windspeed AVG (m/s)  \n",
       "count              5055.000000          5055.000000  \n",
       "mean                186.284013             1.061756  \n",
       "std                  72.946231             0.510739  \n",
       "min                   0.020588             0.209091  \n",
       "25%                 154.970724             0.673333  \n",
       "50%                 190.404511             0.994167  \n",
       "75%                 223.645777             1.327917  \n",
       "max                 359.741464             5.280833  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(6734, 12)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0xa6e3073c8>]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(data['radiation AVG (W/m2)'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### let us make it a bit more presentable by adding formating the x-axis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.plot(data['timestamp (UTC)'], data['atmosphericpressure AVG (kPa)'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### oops!!! that took so long and its still not neat. This is because of the volume of the data. But will come back to it after treating the data. Now we will select part of the data and plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Selecting rows and columns using iloc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## let us select the first 24 row for the first three columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     timestamp (UTC)  atmosphericpressure AVG (kPa)  \\\n",
      "0   2020-03-26 10:00                            NaN   \n",
      "1   2020-03-26 11:00                      98.356667   \n",
      "2   2020-03-26 12:00                      98.236667   \n",
      "3   2020-03-26 13:00                      98.115000   \n",
      "4   2020-03-26 14:00                      98.015000   \n",
      "5   2020-03-26 15:00                      98.001667   \n",
      "6   2020-03-26 16:00                      98.028333   \n",
      "7   2020-03-26 17:00                      98.077500   \n",
      "8   2020-03-26 18:00                      98.163333   \n",
      "9   2020-03-26 19:00                      98.285833   \n",
      "10  2020-03-26 20:00                      98.375833   \n",
      "11  2020-03-26 21:00                      98.428333   \n",
      "12  2020-03-26 22:00                      98.436667   \n",
      "13  2020-03-26 23:00                      98.381667   \n",
      "14  2020-03-27 00:00                      98.335833   \n",
      "15  2020-03-27 01:00                      98.249167   \n",
      "16  2020-03-27 02:00                      98.188333   \n",
      "17  2020-03-27 03:00                      98.213333   \n",
      "18  2020-03-27 04:00                      98.242500   \n",
      "19  2020-03-27 05:00                      98.318333   \n",
      "20  2020-03-27 06:00                            NaN   \n",
      "21  2020-03-27 07:00                            NaN   \n",
      "22  2020-03-27 08:00                            NaN   \n",
      "23  2020-03-27 09:00                            NaN   \n",
      "24  2020-03-27 10:00                            NaN   \n",
      "25  2020-03-27 11:00                            NaN   \n",
      "26  2020-03-27 12:00                            NaN   \n",
      "27  2020-03-27 13:00                            NaN   \n",
      "28  2020-03-27 14:00                            NaN   \n",
      "29  2020-03-27 15:00                            NaN   \n",
      "30  2020-03-27 16:00                            NaN   \n",
      "31  2020-03-27 17:00                            NaN   \n",
      "32  2020-03-27 18:00                            NaN   \n",
      "33  2020-03-27 19:00                            NaN   \n",
      "34  2020-03-27 20:00                            NaN   \n",
      "35  2020-03-27 21:00                            NaN   \n",
      "36  2020-03-27 22:00                            NaN   \n",
      "37  2020-03-27 23:00                            NaN   \n",
      "\n",
      "    lightningdistance AVG (km)  lightningevents (-)  precipitation (mm)  \\\n",
      "0                          NaN                  NaN                 NaN   \n",
      "1                     0.000000                  0.0               0.000   \n",
      "2                     0.000000                  0.0               0.000   \n",
      "3                     0.000000                  0.0               0.000   \n",
      "4                     2.833333                  1.0               0.000   \n",
      "5                     6.666667                 77.0               9.932   \n",
      "6                     7.833333                611.0              17.936   \n",
      "7                     4.666667                271.0               4.083   \n",
      "8                     0.000000                  0.0               0.085   \n",
      "9                     0.000000                  0.0               0.000   \n",
      "10                    0.000000                  0.0               0.000   \n",
      "11                    0.000000                  0.0               0.000   \n",
      "12                    0.000000                  0.0               0.000   \n",
      "13                    0.000000                  0.0               0.000   \n",
      "14                    0.000000                  0.0               0.000   \n",
      "15                    0.000000                  0.0               0.000   \n",
      "16                    0.000000                  0.0               0.000   \n",
      "17                    0.000000                  0.0               0.000   \n",
      "18                    0.000000                  0.0               0.000   \n",
      "19                    0.000000                  0.0               0.000   \n",
      "20                         NaN                  NaN                 NaN   \n",
      "21                         NaN                  NaN                 NaN   \n",
      "22                         NaN                  NaN                 NaN   \n",
      "23                         NaN                  NaN                 NaN   \n",
      "24                         NaN                  NaN                 NaN   \n",
      "25                         NaN                  NaN                 NaN   \n",
      "26                         NaN                  NaN                 NaN   \n",
      "27                         NaN                  NaN                 NaN   \n",
      "28                         NaN                  NaN                 NaN   \n",
      "29                         NaN                  NaN                 NaN   \n",
      "30                         NaN                  NaN                 NaN   \n",
      "31                         NaN                  NaN                 NaN   \n",
      "32                         NaN                  NaN                 NaN   \n",
      "33                         NaN                  NaN                 NaN   \n",
      "34                         NaN                  NaN                 NaN   \n",
      "35                         NaN                  NaN                 NaN   \n",
      "36                         NaN                  NaN                 NaN   \n",
      "37                         NaN                  NaN                 NaN   \n",
      "\n",
      "    radiation AVG (W/m2)  relativehumidity AVG (-)  \\\n",
      "0                    NaN                       NaN   \n",
      "1             933.416667                  0.586333   \n",
      "2             817.750000                  0.553917   \n",
      "3             716.916667                  0.529417   \n",
      "4             538.000000                  0.519167   \n",
      "5             146.583333                  0.567182   \n",
      "6              43.833333                  0.896750   \n",
      "7               6.750000                  0.928417   \n",
      "8               0.000000                  0.934667   \n",
      "9               0.000000                  0.948250   \n",
      "10              0.000000                  0.944667   \n",
      "11              0.000000                  0.941583   \n",
      "12              0.000000                  0.967583   \n",
      "13              0.000000                  0.977750   \n",
      "14              0.000000                  0.991333   \n",
      "15              0.000000                  0.998833   \n",
      "16              0.000000                  0.999417   \n",
      "17              0.000000                  0.999833   \n",
      "18              0.000000                  0.998833   \n",
      "19              0.750000                  0.999417   \n",
      "20                   NaN                       NaN   \n",
      "21                   NaN                       NaN   \n",
      "22                   NaN                       NaN   \n",
      "23                   NaN                       NaN   \n",
      "24                   NaN                       NaN   \n",
      "25                   NaN                       NaN   \n",
      "26                   NaN                       NaN   \n",
      "27                   NaN                       NaN   \n",
      "28                   NaN                       NaN   \n",
      "29                   NaN                       NaN   \n",
      "30                   NaN                       NaN   \n",
      "31                   NaN                       NaN   \n",
      "32                   NaN                       NaN   \n",
      "33                   NaN                       NaN   \n",
      "34                   NaN                       NaN   \n",
      "35                   NaN                       NaN   \n",
      "36                   NaN                       NaN   \n",
      "37                   NaN                       NaN   \n",
      "\n",
      "    temperature AVG (degrees Celsius)  temperature MAX (degrees Celsius)  \\\n",
      "0                                 NaN                                NaN   \n",
      "1                           31.458333                               32.0   \n",
      "2                           32.508333                               33.0   \n",
      "3                           33.225000                               33.5   \n",
      "4                           33.508333                               34.0   \n",
      "5                           31.818182                               33.2   \n",
      "6                           24.316667                               25.9   \n",
      "7                           23.741667                               24.2   \n",
      "8                           24.308333                               24.5   \n",
      "9                           24.708333                               24.9   \n",
      "10                          25.316667                               25.6   \n",
      "11                          25.158333                               25.4   \n",
      "12                          24.883333                               25.2   \n",
      "13                          24.841667                               24.9   \n",
      "14                          25.083333                               25.2   \n",
      "15                          25.000000                               25.1   \n",
      "16                          25.000000                               25.0   \n",
      "17                          25.016667                               25.1   \n",
      "18                          25.125000                               25.2   \n",
      "19                          25.175000                               25.2   \n",
      "20                                NaN                                NaN   \n",
      "21                                NaN                                NaN   \n",
      "22                                NaN                                NaN   \n",
      "23                                NaN                                NaN   \n",
      "24                                NaN                                NaN   \n",
      "25                                NaN                                NaN   \n",
      "26                                NaN                                NaN   \n",
      "27                                NaN                                NaN   \n",
      "28                                NaN                                NaN   \n",
      "29                                NaN                                NaN   \n",
      "30                                NaN                                NaN   \n",
      "31                                NaN                                NaN   \n",
      "32                                NaN                                NaN   \n",
      "33                                NaN                                NaN   \n",
      "34                                NaN                                NaN   \n",
      "35                                NaN                                NaN   \n",
      "36                                NaN                                NaN   \n",
      "37                                NaN                                NaN   \n",
      "\n",
      "    temperature MIN (degrees Celsius)  winddirection (degrees)  \\\n",
      "0                                 NaN                      NaN   \n",
      "1                                30.9               251.751954   \n",
      "2                                31.9               224.774306   \n",
      "3                                32.9               223.653068   \n",
      "4                                33.2               252.268197   \n",
      "5                                25.3               314.933435   \n",
      "6                                22.9               172.393683   \n",
      "7                                23.1               212.849966   \n",
      "8                                24.1               186.583533   \n",
      "9                                24.5               187.262667   \n",
      "10                               25.0               184.492661   \n",
      "11                               25.0               184.196290   \n",
      "12                               24.5               181.850374   \n",
      "13                               24.8               186.596618   \n",
      "14                               25.0               218.197262   \n",
      "15                               24.9               199.994611   \n",
      "16                               25.0               210.608968   \n",
      "17                               25.0               198.608772   \n",
      "18                               25.1               195.777922   \n",
      "19                               25.1               216.213377   \n",
      "20                                NaN                      NaN   \n",
      "21                                NaN                      NaN   \n",
      "22                                NaN                      NaN   \n",
      "23                                NaN                      NaN   \n",
      "24                                NaN                      NaN   \n",
      "25                                NaN                      NaN   \n",
      "26                                NaN                      NaN   \n",
      "27                                NaN                      NaN   \n",
      "28                                NaN                      NaN   \n",
      "29                                NaN                      NaN   \n",
      "30                                NaN                      NaN   \n",
      "31                                NaN                      NaN   \n",
      "32                                NaN                      NaN   \n",
      "33                                NaN                      NaN   \n",
      "34                                NaN                      NaN   \n",
      "35                                NaN                      NaN   \n",
      "36                                NaN                      NaN   \n",
      "37                                NaN                      NaN   \n",
      "\n",
      "    windspeed AVG (m/s)  \n",
      "0                   NaN  \n",
      "1              1.313333  \n",
      "2              1.308333  \n",
      "3              1.551667  \n",
      "4              1.140000  \n",
      "5              1.571667  \n",
      "6              3.104167  \n",
      "7              2.084167  \n",
      "8              1.248333  \n",
      "9              0.681667  \n",
      "10             1.240833  \n",
      "11             0.858333  \n",
      "12             0.574167  \n",
      "13             0.699167  \n",
      "14             0.651667  \n",
      "15             0.873333  \n",
      "16             0.883333  \n",
      "17             1.093333  \n",
      "18             1.266667  \n",
      "19             1.036667  \n",
      "20                  NaN  \n",
      "21                  NaN  \n",
      "22                  NaN  \n",
      "23                  NaN  \n",
      "24                  NaN  \n",
      "25                  NaN  \n",
      "26                  NaN  \n",
      "27                  NaN  \n",
      "28                  NaN  \n",
      "29                  NaN  \n",
      "30                  NaN  \n",
      "31                  NaN  \n",
      "32                  NaN  \n",
      "33                  NaN  \n",
      "34                  NaN  \n",
      "35                  NaN  \n",
      "36                  NaN  \n",
      "37                  NaN  \n"
     ]
    }
   ],
   "source": [
    "test_data = data.iloc[0:38,:]\n",
    "print(test_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     timestamp (UTC)  lightningdistance AVG (km)  precipitation (mm)  \\\n",
      "0   2020-03-26 10:00                         NaN                 NaN   \n",
      "1   2020-03-26 11:00                    0.000000               0.000   \n",
      "2   2020-03-26 12:00                    0.000000               0.000   \n",
      "3   2020-03-26 13:00                    0.000000               0.000   \n",
      "4   2020-03-26 14:00                    2.833333               0.000   \n",
      "5   2020-03-26 15:00                    6.666667               9.932   \n",
      "6   2020-03-26 16:00                    7.833333              17.936   \n",
      "7   2020-03-26 17:00                    4.666667               4.083   \n",
      "8   2020-03-26 18:00                    0.000000               0.085   \n",
      "9   2020-03-26 19:00                    0.000000               0.000   \n",
      "10  2020-03-26 20:00                    0.000000               0.000   \n",
      "11  2020-03-26 21:00                    0.000000               0.000   \n",
      "12  2020-03-26 22:00                    0.000000               0.000   \n",
      "13  2020-03-26 23:00                    0.000000               0.000   \n",
      "14  2020-03-27 00:00                    0.000000               0.000   \n",
      "15  2020-03-27 01:00                    0.000000               0.000   \n",
      "16  2020-03-27 02:00                    0.000000               0.000   \n",
      "17  2020-03-27 03:00                    0.000000               0.000   \n",
      "18  2020-03-27 04:00                    0.000000               0.000   \n",
      "19  2020-03-27 05:00                    0.000000               0.000   \n",
      "20  2020-03-27 06:00                         NaN                 NaN   \n",
      "21  2020-03-27 07:00                         NaN                 NaN   \n",
      "22  2020-03-27 08:00                         NaN                 NaN   \n",
      "23  2020-03-27 09:00                         NaN                 NaN   \n",
      "24  2020-03-27 10:00                         NaN                 NaN   \n",
      "25  2020-03-27 11:00                         NaN                 NaN   \n",
      "26  2020-03-27 12:00                         NaN                 NaN   \n",
      "27  2020-03-27 13:00                         NaN                 NaN   \n",
      "28  2020-03-27 14:00                         NaN                 NaN   \n",
      "29  2020-03-27 15:00                         NaN                 NaN   \n",
      "30  2020-03-27 16:00                         NaN                 NaN   \n",
      "31  2020-03-27 17:00                         NaN                 NaN   \n",
      "32  2020-03-27 18:00                         NaN                 NaN   \n",
      "33  2020-03-27 19:00                         NaN                 NaN   \n",
      "34  2020-03-27 20:00                         NaN                 NaN   \n",
      "35  2020-03-27 21:00                         NaN                 NaN   \n",
      "36  2020-03-27 22:00                         NaN                 NaN   \n",
      "37  2020-03-27 23:00                         NaN                 NaN   \n",
      "\n",
      "    radiation AVG (W/m2)  relativehumidity AVG (-)  \\\n",
      "0                    NaN                       NaN   \n",
      "1             933.416667                  0.586333   \n",
      "2             817.750000                  0.553917   \n",
      "3             716.916667                  0.529417   \n",
      "4             538.000000                  0.519167   \n",
      "5             146.583333                  0.567182   \n",
      "6              43.833333                  0.896750   \n",
      "7               6.750000                  0.928417   \n",
      "8               0.000000                  0.934667   \n",
      "9               0.000000                  0.948250   \n",
      "10              0.000000                  0.944667   \n",
      "11              0.000000                  0.941583   \n",
      "12              0.000000                  0.967583   \n",
      "13              0.000000                  0.977750   \n",
      "14              0.000000                  0.991333   \n",
      "15              0.000000                  0.998833   \n",
      "16              0.000000                  0.999417   \n",
      "17              0.000000                  0.999833   \n",
      "18              0.000000                  0.998833   \n",
      "19              0.750000                  0.999417   \n",
      "20                   NaN                       NaN   \n",
      "21                   NaN                       NaN   \n",
      "22                   NaN                       NaN   \n",
      "23                   NaN                       NaN   \n",
      "24                   NaN                       NaN   \n",
      "25                   NaN                       NaN   \n",
      "26                   NaN                       NaN   \n",
      "27                   NaN                       NaN   \n",
      "28                   NaN                       NaN   \n",
      "29                   NaN                       NaN   \n",
      "30                   NaN                       NaN   \n",
      "31                   NaN                       NaN   \n",
      "32                   NaN                       NaN   \n",
      "33                   NaN                       NaN   \n",
      "34                   NaN                       NaN   \n",
      "35                   NaN                       NaN   \n",
      "36                   NaN                       NaN   \n",
      "37                   NaN                       NaN   \n",
      "\n",
      "    temperature AVG (degrees Celsius)  temperature MAX (degrees Celsius)  \\\n",
      "0                                 NaN                                NaN   \n",
      "1                           31.458333                               32.0   \n",
      "2                           32.508333                               33.0   \n",
      "3                           33.225000                               33.5   \n",
      "4                           33.508333                               34.0   \n",
      "5                           31.818182                               33.2   \n",
      "6                           24.316667                               25.9   \n",
      "7                           23.741667                               24.2   \n",
      "8                           24.308333                               24.5   \n",
      "9                           24.708333                               24.9   \n",
      "10                          25.316667                               25.6   \n",
      "11                          25.158333                               25.4   \n",
      "12                          24.883333                               25.2   \n",
      "13                          24.841667                               24.9   \n",
      "14                          25.083333                               25.2   \n",
      "15                          25.000000                               25.1   \n",
      "16                          25.000000                               25.0   \n",
      "17                          25.016667                               25.1   \n",
      "18                          25.125000                               25.2   \n",
      "19                          25.175000                               25.2   \n",
      "20                                NaN                                NaN   \n",
      "21                                NaN                                NaN   \n",
      "22                                NaN                                NaN   \n",
      "23                                NaN                                NaN   \n",
      "24                                NaN                                NaN   \n",
      "25                                NaN                                NaN   \n",
      "26                                NaN                                NaN   \n",
      "27                                NaN                                NaN   \n",
      "28                                NaN                                NaN   \n",
      "29                                NaN                                NaN   \n",
      "30                                NaN                                NaN   \n",
      "31                                NaN                                NaN   \n",
      "32                                NaN                                NaN   \n",
      "33                                NaN                                NaN   \n",
      "34                                NaN                                NaN   \n",
      "35                                NaN                                NaN   \n",
      "36                                NaN                                NaN   \n",
      "37                                NaN                                NaN   \n",
      "\n",
      "    temperature MIN (degrees Celsius)  winddirection (degrees)  \\\n",
      "0                                 NaN                      NaN   \n",
      "1                                30.9               251.751954   \n",
      "2                                31.9               224.774306   \n",
      "3                                32.9               223.653068   \n",
      "4                                33.2               252.268197   \n",
      "5                                25.3               314.933435   \n",
      "6                                22.9               172.393683   \n",
      "7                                23.1               212.849966   \n",
      "8                                24.1               186.583533   \n",
      "9                                24.5               187.262667   \n",
      "10                               25.0               184.492661   \n",
      "11                               25.0               184.196290   \n",
      "12                               24.5               181.850374   \n",
      "13                               24.8               186.596618   \n",
      "14                               25.0               218.197262   \n",
      "15                               24.9               199.994611   \n",
      "16                               25.0               210.608968   \n",
      "17                               25.0               198.608772   \n",
      "18                               25.1               195.777922   \n",
      "19                               25.1               216.213377   \n",
      "20                                NaN                      NaN   \n",
      "21                                NaN                      NaN   \n",
      "22                                NaN                      NaN   \n",
      "23                                NaN                      NaN   \n",
      "24                                NaN                      NaN   \n",
      "25                                NaN                      NaN   \n",
      "26                                NaN                      NaN   \n",
      "27                                NaN                      NaN   \n",
      "28                                NaN                      NaN   \n",
      "29                                NaN                      NaN   \n",
      "30                                NaN                      NaN   \n",
      "31                                NaN                      NaN   \n",
      "32                                NaN                      NaN   \n",
      "33                                NaN                      NaN   \n",
      "34                                NaN                      NaN   \n",
      "35                                NaN                      NaN   \n",
      "36                                NaN                      NaN   \n",
      "37                                NaN                      NaN   \n",
      "\n",
      "    windspeed AVG (m/s)  \n",
      "0                   NaN  \n",
      "1              1.313333  \n",
      "2              1.308333  \n",
      "3              1.551667  \n",
      "4              1.140000  \n",
      "5              1.571667  \n",
      "6              3.104167  \n",
      "7              2.084167  \n",
      "8              1.248333  \n",
      "9              0.681667  \n",
      "10             1.240833  \n",
      "11             0.858333  \n",
      "12             0.574167  \n",
      "13             0.699167  \n",
      "14             0.651667  \n",
      "15             0.873333  \n",
      "16             0.883333  \n",
      "17             1.093333  \n",
      "18             1.266667  \n",
      "19             1.036667  \n",
      "20                  NaN  \n",
      "21                  NaN  \n",
      "22                  NaN  \n",
      "23                  NaN  \n",
      "24                  NaN  \n",
      "25                  NaN  \n",
      "26                  NaN  \n",
      "27                  NaN  \n",
      "28                  NaN  \n",
      "29                  NaN  \n",
      "30                  NaN  \n",
      "31                  NaN  \n",
      "32                  NaN  \n",
      "33                  NaN  \n",
      "34                  NaN  \n",
      "35                  NaN  \n",
      "36                  NaN  \n",
      "37                  NaN  \n"
     ]
    }
   ],
   "source": [
    "test_data = test_data.drop(labels=['atmosphericpressure AVG (kPa)','lightningevents (-)'], axis=1, inplace=False)\n",
    "print(test_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     timestamp (UTC)  radiation AVG (W/m2)  temperature AVG (degrees Celsius)\n",
      "0   2020-03-26 10:00                   NaN                                NaN\n",
      "1   2020-03-26 11:00            933.416667                          31.458333\n",
      "2   2020-03-26 12:00            817.750000                          32.508333\n",
      "3   2020-03-26 13:00            716.916667                          33.225000\n",
      "4   2020-03-26 14:00            538.000000                          33.508333\n",
      "5   2020-03-26 15:00            146.583333                          31.818182\n",
      "6   2020-03-26 16:00             43.833333                          24.316667\n",
      "7   2020-03-26 17:00              6.750000                          23.741667\n",
      "8   2020-03-26 18:00              0.000000                          24.308333\n",
      "9   2020-03-26 19:00              0.000000                          24.708333\n",
      "10  2020-03-26 20:00              0.000000                          25.316667\n",
      "11  2020-03-26 21:00              0.000000                          25.158333\n",
      "12  2020-03-26 22:00              0.000000                          24.883333\n",
      "13  2020-03-26 23:00              0.000000                          24.841667\n",
      "14  2020-03-27 00:00              0.000000                          25.083333\n",
      "15  2020-03-27 01:00              0.000000                          25.000000\n",
      "16  2020-03-27 02:00              0.000000                          25.000000\n",
      "17  2020-03-27 03:00              0.000000                          25.016667\n",
      "18  2020-03-27 04:00              0.000000                          25.125000\n",
      "19  2020-03-27 05:00              0.750000                          25.175000\n",
      "20  2020-03-27 06:00                   NaN                                NaN\n",
      "21  2020-03-27 07:00                   NaN                                NaN\n",
      "22  2020-03-27 08:00                   NaN                                NaN\n",
      "23  2020-03-27 09:00                   NaN                                NaN\n"
     ]
    }
   ],
   "source": [
    "test_data = data.iloc[0:24:,[0,5,7]]  #selecting multiple rows and coloumns\n",
    "print(test_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0xa78baac88>]"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(test_data['radiation AVG (W/m2)'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([0,\n",
       "  1,\n",
       "  2,\n",
       "  3,\n",
       "  4,\n",
       "  5,\n",
       "  6,\n",
       "  7,\n",
       "  8,\n",
       "  9,\n",
       "  10,\n",
       "  11,\n",
       "  12,\n",
       "  13,\n",
       "  14,\n",
       "  15,\n",
       "  16,\n",
       "  17,\n",
       "  18,\n",
       "  19,\n",
       "  20,\n",
       "  21,\n",
       "  22,\n",
       "  23],\n",
       " <a list of 24 Text major ticklabel objects>)"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(test_data['timestamp (UTC)'], test_data['radiation AVG (W/m2)'])\n",
    "plt.xticks(rotation=90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#now we can make it neater"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<matplotlib.axis.XTick at 0xa7b7b1d68>,\n",
       "  <matplotlib.axis.XTick at 0xa7b7b18d0>,\n",
       "  <matplotlib.axis.XTick at 0xa7b7b1f60>,\n",
       "  <matplotlib.axis.XTick at 0xa7b7dbe48>],\n",
       " <a list of 4 Text major ticklabel objects>)"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(test_data['timestamp (UTC)'], test_data['radiation AVG (W/m2)'])\n",
    "time = np.arange(0,24, 6)\n",
    "plt.xticks(time)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# you can specify the label "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<matplotlib.axis.XTick at 0xa7b7f09b0>,\n",
       "  <matplotlib.axis.XTick at 0xa7b7f0cc0>,\n",
       "  <matplotlib.axis.XTick at 0xa7b7f6eb8>,\n",
       "  <matplotlib.axis.XTick at 0xa7b8306a0>],\n",
       " [Text(0, 0, '10:00'),\n",
       "  Text(0, 0, '16:00'),\n",
       "  Text(0, 0, '22:00'),\n",
       "  Text(0, 0, '4:00')])"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(test_data['timestamp (UTC)'], test_data['radiation AVG (W/m2)'])\n",
    "time = np.arange(0,24, 6)\n",
    "time_label = ('10:00','16:00','22:00','4:00')\n",
    "plt.xticks(time,time_label)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#adding axis and title"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Time (UT)')"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(test_data['timestamp (UTC)'], test_data['radiation AVG (W/m2)'])\n",
    "time = np.arange(0,24, 6)\n",
    "time_label = ('10:00','16:00','22:00','4:00')\n",
    "plt.xticks(time,time_label)\n",
    "plt.title('Solar radiation')\n",
    "plt.ylabel('Solar Radiation (Wm2)')\n",
    "plt.xlabel('Time (UT)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# defining functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [],
   "source": [
    "#let us convert hourly average data to daily average data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "rad_temp = data [[\"timestamp (UTC)\", \"radiation AVG (W/m2)\",\"temperature AVG (degrees Celsius)\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       timestamp (UTC)  radiation AVG (W/m2)  \\\n",
      "14    2020-03-27 00:00                   0.0   \n",
      "15    2020-03-27 01:00                   0.0   \n",
      "16    2020-03-27 02:00                   0.0   \n",
      "17    2020-03-27 03:00                   0.0   \n",
      "18    2020-03-27 04:00                   0.0   \n",
      "...                ...                   ...   \n",
      "6729  2020-12-31 19:00                   0.0   \n",
      "6730  2020-12-31 20:00                   0.0   \n",
      "6731  2020-12-31 21:00                   0.0   \n",
      "6732  2020-12-31 22:00                   0.0   \n",
      "6733  2020-12-31 23:00                   0.0   \n",
      "\n",
      "      temperature AVG (degrees Celsius)  \n",
      "14                            25.083333  \n",
      "15                            25.000000  \n",
      "16                            25.000000  \n",
      "17                            25.016667  \n",
      "18                            25.125000  \n",
      "...                                 ...  \n",
      "6729                          28.575000  \n",
      "6730                          27.033333  \n",
      "6731                          26.158333  \n",
      "6732                          25.291667  \n",
      "6733                          24.516667  \n",
      "\n",
      "[6720 rows x 3 columns]\n"
     ]
    }
   ],
   "source": [
    "data_hold = rad_temp.drop([0,1,2,3,4,5,6,7,8,9,10,11,12,13])\n",
    "print(data_hold)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      timestamp (UTC)  radiation AVG (W/m2)  temperature AVG (degrees Celsius)\n",
      "0    2020-03-27 00:00                   NaN                                NaN\n",
      "1    2020-03-28 00:00                   NaN                                NaN\n",
      "2    2020-03-29 00:00                   NaN                                NaN\n",
      "3    2020-03-30 00:00                   NaN                                NaN\n",
      "4    2020-03-31 00:00                   NaN                                NaN\n",
      "..                ...                   ...                                ...\n",
      "275  2020-12-27 00:00            196.791667                          26.173958\n",
      "276  2020-12-28 00:00            174.920139                          26.219444\n",
      "277  2020-12-29 00:00            184.781250                          26.906250\n",
      "278  2020-12-30 00:00            173.465278                          26.557639\n",
      "279  2020-12-31 00:00            180.687500                          26.885764\n",
      "\n",
      "[280 rows x 3 columns]\n"
     ]
    }
   ],
   "source": [
    "import statistics\n",
    "\n",
    "def combine(df, conv_factor):\n",
    "    combined = [] # Init empty list\n",
    "    length = len(df.iloc[:,0]) # Get the number of rows in DataFrame\n",
    "    i = 0\n",
    "    while i < length:\n",
    "        combined.append([df.iloc[i,0],mean_elements(df, i, i+conv_factor, 1), mean_elements(df, i, i+conv_factor, 2)])\n",
    "        i += conv_factor # Increment i by the number of elements\n",
    "   \n",
    "    return pd.DataFrame(combined, columns=df.columns) # Return as DataFrame\n",
    "\n",
    "def mean_elements(df, start, end, column): # take the mean of the elements from start to end\n",
    "    return statistics.mean(df.iloc[start:end, column])\n",
    "\n",
    "\n",
    "daily_data= combine(data_hold, 24)\n",
    "\n",
    "print (daily_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1fc12120b8>]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(daily_data['radiation AVG (W/m2)'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Time (UT)')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(daily_data['timestamp (UTC)'], daily_data['radiation AVG (W/m2)'])\n",
    "time = np.arange(0,280, 30)\n",
    "#time_label = ('10:00','16:00','22:00','4:00')\n",
    "#plt.xticks(time,time_label)\n",
    "plt.xticks(time,rotation=90)\n",
    "plt.title('Solar radiation')\n",
    "plt.ylabel('Solar Radiation (Wm2)')\n",
    "plt.xlabel('Time (UT)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Time (UT)')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x792 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(13,11))\n",
    "plt.plot(daily_data['timestamp (UTC)'], daily_data['radiation AVG (W/m2)'])\n",
    "time = np.arange(0,280, 30)\n",
    "#time_label = ('10:00','16:00','22:00','4:00')\n",
    "#plt.xticks(time,time_label)\n",
    "plt.xticks(time,rotation=90)\n",
    "plt.title('Solar radiation')\n",
    "plt.ylabel('Solar Radiation (Wm2)')\n",
    "plt.xlabel('Time (UT)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "#let us save out plot for use in our publications"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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5TayBQVSfBMROS1lCCCGEELL/YbLQAl6Ds60sBIutLOgGykJEZYEQQggh5MDBZKEFdEFZMF81wkAAJMqC0rnqsGjESjdQFuhZIIQQQgg5aDBZaIHCULas64/KkoVumFzmRd1VVxrYGetZ4FA2QgghhJCDBpOFFih0Q7LKkPJkIfm6qPX6agJlYRTrQqtZQgghhBCyf2Gy0ALKM2ch8SykZUipd2FRfQtKa0RK1z4/O1Fa1KSJEEIIIWTRYLLQAtpjcI48ysKiDmYz7WLr1AU7oaJvgRBCCCHkYMBkoQWqWqfmBudUWVjQen3j2ahLFuwEYbSg14EQQgghZNFgstAChaFsyqcspAbnaDF31E2yNIiqTc52JygqC4QQQgghBwMmCy3gMzgry7OQlSEt6I66SQR2RtXPLy6UIS3mdSCEEEIIWTSYLLSALhick6+JspBc3tzgvJg76jrzLDRTFhZ5mjUhhBBCyCLBZKEFlAJSESHbQU88C8ltnczgvJg76uY51ykLdqI0i7LwKx94HA8/c3Xq+xNCCCGEkOZ09noBi4DSGp0wwDBSmdk3tpSFhZ+zYDwLNYPZ7DKkWbpC/dx7P4etQYRX3HZ06nMQQgghhJBmUFloAaWBbiot+OYsLPwE5wbdkGLLrzFtVyitNbRe3KSLEEIIIWS/sWvJgojcISIfEJHPiMgjIvIj6e1vEpFnROSh9N+3Wvf5CRF5XEQ+JyLftFtraxudKguAPWdB5a1TgwVPFrIypGplIWqhG1I+BXoxryMhhBBCyH5jN8uQIgA/prX+hIgcBvCAiLwv/dkvaK1/zj5YRL4MwBsBvBzArQD+TEReqrWujkD3CUrrrNSoqCw4ZUgLanCOGygLyjY4Txns234QQgghhBCy++yasqC1fk5r/Yn0++sAPgPgtpq7vAHAO7TWA631EwAeB/C63Vpfmyidqwd2QGuMzQd9KFusNP7luz6NR571G4uNHaF2KJutLEwZ7JvLt6iTsAkhhBBC9htz8SyIyN0AXg3gvvSmHxKRT4nIb4nI8fS22wA8bd3tLOqTi32DBrKSo6LB2ZQhmW5IBzPIPXt5G2+77yl8+LGL3p/HDcqQ2lQWOKeBEEIIIWQ+7HqyICKHAPw+gB/VWl8D8KsAXgzgHgDPAfh5c6jn7qXoWkS+X0TuF5H7L1y4sEurnoxiGVJyW6Q0Qklu63UOtmfhzKVtANWKQJMypDY9CyxDIoQQQgiZD7uaLIhIF0mi8Dat9R8AgNb6nNY61lorAL+BvNToLIA7rLvfDuBZ95xa61/XWt+rtb731KlTu7n8xtgG5+KchaKycFA9C2cubgGoXn9ehtRsKNu05VhGneBQN0IIIYSQ+bCb3ZAEwG8C+IzW+i3W7bdYh/1dAA+n378bwBtFpC8iLwTwEgAf2631tYlSQCgCkWIZkvEsHPTWqU+kyUJcEeQ3GcpWmOA8rbLAMiRCCCGEkLmym92QvgbAdwH4tIg8lN72LwD8fRG5B0mJ0RkA/wQAtNaPiMg7ATyKpJPSDx6ETkhAUoYkkiQMqqAsJElCZw+Gsn32+Wv4y89fxD/+uhfNfK4nLyXJQtWOvnnOjZWFKZOFTFk4oAoNIYQQQshBY9eSBa31h+H3Ifznmvu8GcCbd2tNu4XSQCCCIJB891tppDlC1ilpnjvif/TQs/jVD34Bb7jnVpw+sjLTuYxnwecVMIPSAGBQoyxELZQh5SVeVBYIIYQQQuYBJzi3gNYaQZAqC6qsLPTSMqThHHfETWB//5OXZzpPFCs8vZEkC74yKjt/qFUWtM6uw9RlSCpPxAghhBBCyO7DZKEFlNYIRBAGknVDSoaymTkLxuA8vx3xLFk4M1uy8MyVG1lw7lMW7NvqlIU41uh3ZlNY8jkLVBYIIYQQQuYBk4UWUDqptwokr9+PlEYYOsnCHHfETRD/wJMbM53HmJsBvyJgni8wvnVqvxsm55nyOuQGZyoLhBBCCCHzgMlCC2gAkikLeV29mbPQDebfDcms45Fnr+HGcHqfuGmb2gsDr1fAThZqh7JpjZXubMoCy5AIIYQQQuYLk4UW0FojkGSKs2/OQhAIApnvjnhkBdYPPX1l6vOcubSN9V6I00f63iC96FkYoyxkZUhTdkPKVBuWIRFCCCGEzAMmCy1gPAuBY3A2ngUgmbUwT2VBKY31XlL2M0sp0plLW7jr5Dq6YeAN8guehdrWqQqrPVOGNKOywDIkQgghhJC5wGShBZSCZXAuexYAkyzMV1k4utrFS04fmqkj0pOXtvHCm9YLz81GKbsMqX4o20onSRZmVxaYLBBCCCGEzAMmCy1ghrIF4pQhSZ4sdEKZa/mM0kmycu/dx/GJJy8XgvqmmLapd51cQyeQitapTZUFnU2ynrUbEic4E0IIIYTMByYLLaB1rixkZUi6WIbUCeavLIQieO1dJ3BtJ8Jj5zcnPsfZy0nb1LtvWkcn9CsL8QTdkDqhoBvKzN2QOMGZEEIIIWQ+MFloAWWGsgWCWCelOVojG8oGAN1Q5rojrlKD9WvuPAYA+OQUJuczl5JOSEkZUuAN8q1cob4bUrqeThC00A2JysLFzcFeL4EQQgghSwCThRbIDc5JUGxq6kPr6s7b4BwphTAQHF/rAQC2h9HE5zBtU+86uYZuIN7WqSaA73eC8cpCIOiEMrUyoKwSr2XmU2ev4Cve/GeFGRiEEEIIIbsBk4UWMLGrMQGboNZWFjozlN9MQ6ySxw9nGAh39UaSYJxc7yMM/EG+ea5rvbB+gnOqLHTDYGplwCQJy16G9NzVHWhNdYEQQgghuw+ThRbQQNY6Nda5slBonTpD+c00xEohDPI1TLMbbxKBQBJlxN8NKfm62g2xE8XQ2v84cVaGJNN3Q8papy53GdIwVXDmqVQRQgghZDlhstAC9lA2pTTi2CgLTjekOe6Ix6lnwqwhrgji69Bplyczndo/lC1VFvodaF29658kC8FMLWRjtk4FkCcJnDdBCCGEkN2GyUILGM+CmeBsymyKyYLfILxbxEohlKQLE4AsgZkElXZ5AqoN2rFVhgRUt0+NtU7WM0MLWXuGxTJjlIVl924QQgghZPdhstACSiW774EknoVYl5WFXigY1RiA2yaZIB3ALGGaADtOFRMAlUPZTNnRSjdJFqoGs0VxoixUzWtogm1wrip3WgaGMcuQCCGEEDIfmCy0gLLLkLTOgmp3zsI8W37GKmnnKs5kafvn40iGzSXPoVPRzcncNFZZSLshzVSGZD38MpucjbKw7AoLIYQQQnYfJgstkA1lS5WFqMKzMM8A1ygLZh12YPn0xja+/E1/ivc9eq72HFojm0LdqVAWzG15suBPiGKtEaStU2eds+B+v2wMmCwQQgghZE4wWWgBM5QtCJKSJBPI2snCLC1DpyFRFvJAX1llO89f28H2MMZP/MGncXlrWHkOpYplSHWtU1e7HQDVg9mMspAoLLPNWQCA0RIPZsuUBZYhEUIIIWSXYbLQAqZcxxicfZ6FTiAYRc2C5Hc9eBb/6Lc/PtOaYq2zMqjQaVdqvr+4OcC/+uNHK89RMDgHFa1TSwbnKs+CSucsTO9ZsB9/mTsBDdkNiRBCCCFzgslCC2gNCJAbnDPPQn55u52g8W74Rx6/hL947MJMa4pinQX6oTN92azvv3zxSbzrwWfwZxXlSCptnQoAYUUXIxO/Z8lChcFZaaRzFoLp5yxoO1lY3l11ehYIIYQQMi+YLLSA3TpVab9noTvBMLIL1wcYxXqmgFhZykLH8SyYoP+Hv+EluO3YKt5235OV5zDPoVsxZ8EkHlk3pAqDc6RUUoY0wyTrgrKwxIFyNmdhiUuxCCGEEDIfmCy0QDLBGZnBWfnKkMLmE5wvXB8AAHZmaLVqJiabdfjMwavdEHecWMXWwB/gmyQoOUfgndWg3TKkCmXBrKc7wXXwncOwzCU4+QTn5b0GhBBCCJkPTBZawATVQRqUR1kZkm1wbr6jfmEzSRZuDP1BfBPsZKHj+A0iy4C92g1xo8KUrDSy1qnJ+n2tUxsOZUvX05lAYSmvhwZnwB7KtrzXgBBCCCHzgclCC5ihbKGYOQvlCc7dijkFLrHS2Eg7FFV1FmpCrMcrC51QsNqrSRbU+KFs5qbVXtINyacsKKUzz0I3bO7dKD0nZX+/vLvqg5jKAiGEEELmA5OFFtDWULbKOQsNjb2Xt4dZIDxTshAXk4XIoyx0AsFKN6xUMOwypE7aOtWdnFzuhlQ+l+kOZTwLrSgLNDgvdSkWIYQQQuYDk4UWMC1Gg0CgNLytU5u2DDV+BQCVO/5NiLXOBqqVlQWjfARY7YaVpUNGDQASz4W5rXhM6n+oaZ1qHjvIuiFNF+gXuyEtXqCslMZ3/eZ9+MBnz9cexzIkQgghhMwLJgstYIayhQKndWpxgnOTDj6FZGFWz0Jod0PKA0sTaDdRFsQqQwLKO/qZZ8F0Q/IkOPb1mMS7UXUeYDE7AV25McJfPnYRDz19pfa4zOC8xKVYhBBCCJkPTBZawBiBXYOzW4YUKw01JsBrTVlQdcpC2eDslhcByfyIwDI42/c1mN3+fjeESIWykB4TiClDYjckHxtbye9+XCKUD2VbvISJ7F82BxFe86/fh488fnGvl0IIIWSOMFlogcyzYAzOHs9Cr5Nc6nHmXtMJCQB2KtqQNiEqdEMSbzekTpAYnJXOA1CbuGBwDgr3NZinE4pgpRP6kwVLyWhtKNsC7qpf3EyM7eOuTz5nYfGuAdm/XN4aYmNriDOXtvZ6KYQQQuYIk4UWUFpDINkOvs+zYEqSxgWCtrIwi8FZqWqDs60sZMPUhr7pzLqkLLi72ea5igD9buBdc6a0hEFlC9Ym2A+9iAZn0wXLl7jZ0OBM9gLzvrHMncgIIWQZYbLQAmYoWxCY1qlmJz2/vMYg3CRZ6KcqxCxlSJHKJzi7ZUiRtb7VNFnwPZbWyXMy5wDKgYK2EqN+J/C3TjXHiKTD6VpQFhYwUL6UqkrjnluWLCygb4PsX8z7xiL+7RFCCKmGyUILKKWzOQtVngWzMz+2DOn6AHecWAMwm8E5MV1XKQtpN6RQsNpLXgI+RUDpvAypG5gyqmKgYDbBA0lUCl9nJbvsqZuuxeeRGIcv4VkkLqXKwrgkYEBlgewBVBYIIWQ5YbLQAsYIbHbwlSdZMCrDuADv4uYAdxxfBQDsVLQ0bYKtLFRNcO4Eic8A8CsLdhlSpiw4689UgwDodwKvz8L2cGQKyxQBR9vdkIaRwkXLI7LXXEo9C8NojLJAzwLZA+iVIYSQ5YTJQguYHfhAkjkLdjBuyJSFMfXoFzYHuP14oizsTKksKKULnYxK3ZCs4H2lV50sxOlkaiBp/QqUlRGVeRYE/Y5fWbA9HN2G5Vje59VyGdLvfPQM/vYv/MVUKkcdv/ahL+C7f+tjE99vo6GykLVOXUDfBtm/5MoCX3eEELJMMFloAZXW9oeBmbNghp7ZyUJaxlMT4A2iGFe2Rzh9uJ+1NJ0Ge2Ky+epTFkKRzLPgS0y01kiXnSkjVa1TQxGsdIOKoWz59WhajuV9Xi2XIV24PsDG1hDXbkQzn8vm8fOb+Oxz1ya+38UJPQssByHzJPMs8HVHCCFLBZOFFjDDy4JAEGvtVRbMznzdB60pQzl1uI/V3gzJgjUx2Xx1uyEZQ3adwdlXhlQeyobs5/1OWNsNKWmd2qwrlPd5FZSF2Xc3R+kaLm21W4qktC6oIE1p3A0pNsoCgzYyP+hZIISQ5YTJQguYkp9ABMryLAQez4IbbN8YxtnEXtM29aZDfaxU1P83wZ0gnSgL1gRnpbP1rPbM5GVfF6O8DKlyKJuyWqd2qpSF/HrkXaEmf272QLs2phebch8TpLeF1tMFVJnBueba2BPC2Q2JzBPzeqOyQAghywWThRYwnoVQqpWFfE5B8YP2XQ8+g2//lY/g8fObWbJw6nAfK7MoC86cB183JPOz8coCCucqDWWzHivphlSdLHQKZUjTGJzz79tVFtpOFvTEyUKsNC5vG89C9X3tZJM7vGSeUFkghJDlhMlCC5ihbEEg0DpPCJp4FjbSEpg/efi5bHrzqdSzMK3B2Z0g7fMsmESm362e6VAcyuY3JpvEJFyHSMIAACAASURBVBBJuyHVDGVLJzgn55lCWbCSl7qAJVYaf/jgM2ODGrOGtpUFNYWycHl7CFO5NPQkXAY7GaPBmcwTzlkghJDlhMlCC5ihbGEaWJua8uJQNlPzX/yg3RwkwfWfPPJ8piycPNRrxeCcKwvF1qmx0gjDorLgS0yUyp9Triy43ZCSr4EI+hUGZ7uVbNV1aPS8lEavY5Ku6vt//MwGfvR3H8L7Hj1Xez4T/LSfLOiCv6IJ9hrqlAU7keAOL5knZhOC5W+EELJcMFmYEa2TNqUiknUOMgGdlSvkO/POB+3WIOnE8/Az1/DgU5dxbK2LfifEStdvFm5CrNxkodxJyCgLK2PKkNJcodKYnPkzBEnr1DHKQtV1aPS8tEY/nQtRp0xcvTECADz49OXa85mdeWMsbwutk0RrEkwnpH4nqFUMbPMzDc5kntCzQAghywmThRnR1s66MTR7lYWKYHtrEGW7+x/8/AWcOtQHkATxN2Y0OOeqQFD0LMQ6SyS6YYBuKN5kwZ7VYIzJla1Tg0RZ2KnxLIQyWzckZSsLNQGLScAefOpK7fnMGjZa7oakMb2y8IKjK7VJgK0scIeXzBPzHuIOZiSEELLYMFmYEaXznXUTnI+MspBbFio9C5uDCHeeWMPLbz0CrZNOSEDSpagtZcHvWch/9VUqRqx1po6YIL/cOrU4lG0YqdKQs8zgHEqjeRN1z8skHHWDoUyy8OmzV2sVCBNst21wVipZ6yTD3kyycPORldo1F5IFBm1kjuRduPi6I4SQZYLJwoxkNfuBZMH5ME66DZm2o4CdLDjKwjDCej/Et7ziBQASczMArHYD3JjW4FwqQ5JCAGp3Q0oey58s2AbnTkXrVBMPJ92Qkufo+hby9QSN5k1UPi+tM99DXaBsfCA3RjE+d+565XGjTFlo37OQfG1+n4ubQ4gkv//aMqT02vbCgEEbmSvmb44TnAkhZLlgsjAjJjAUyUt2hlExGAfsoWyushBjvd/BN7/iFgC5srDSDbETTZcsRB5lwY4rbc+CeSxfYqLsMiSjLDgBamwpK8ZPMBhVJAsilfMmmqB14gPpBEFtqY5RFoD6UqTdmrNgLtEkBuSNrQGOr/VSz0JNGVKc/J7W+mEr7WMJaQqVBUIIWU6YLMyI7VnIlIVIFYJxAOgGFcrCIMKhfgdfcvoQfvxbvhTfce/tAJLd/mmVBVXqhiSFJCVWuqQs+D0LeatSE+S7u4rKaZ0KAAMnySkanGeY4GzKkML6MqTNQYTD/Q5uOtSrTRbsOQuTlAyNZ/J+9Jc2hzix3ksVgzplITnnWjdk0EbmSuZZ4OuOEEKWis5eL+CgY3sWAqcMySZTFpzd4K1BhPV+8mv4ga9/cXa7GXCmlC5Mgm6CCcQ7VrLgehbs9SUD4HwTnPMypKx1akU3JDOUDaguQ+qE1gTnKbshBemshjqD8/YwuaavuO1obUck87sYRgpbwxiH+u38OWTKwgQJyKWtIU6u99AJZYyykKx5rd/B5k5UeRwhbROzGxIhhCwlVBZmJCtDguRzFmrKkNwgdzNVFlxWe+n8gylKkezdfiBJGooTnHW2HiDxR/jmLMQKme8ib3nqmpeRPZZRFlz/gz24rZOpL9N1QzIG57oSnK1BjPV+iFffeQxfvLCFq9sj73H2c9losX2quf6TKQsDnDzUS0usxnsW1nohuyGRuTKKqSwQQsgywmRhRszHpgjyOQtxuQypZwzO1q671jorQ3JZyQLvyQPCyNrJBxJjcdL7P685trshrVb4I+wypHwom791aiB5QjEsdUwyrWRnnLOgmhqck2v66juOAQAeOusvRRrFOiuLutRi+1RzidREnoUhTq730esEtc+tmCwwaCPzg54FQghZTpgszIi2dtbrDc7lIPnGKIbSyMqQbIyyMM0UZ/Oh7nYyymuOi8nMaq/K4KwLJmmgXEZlBreJSJZYuNU3Jvi1JzhPNWchLYvqjukEZEq7XnnHMYgADz7lL0WKYoXTh1cAtGtyNv6HpkFVFCtc3h7hxHoPnUDGDGVLfk/rvQ5bp5K5Yr9/EEIIWR6YLMxIYc6CNYvA3rkH7DkFeYC3mXbtOdQPS+fNJitPYXL2tU611xrFjmeh4zc4F7ohVbROVVpbw9+Kj2MfY37enaEbUqYsOIZtl800WTjU7+CFN63js8/526dGSuP0kaT7VJuzFszTd69DFZfTMqmbDvWyRKjKcG2UhdVeONU1JGRaMs8Ck1RCCFkqmCzMSJYsBMVuSE6ukJffWB+0W+k8AK+ykCYL0wxmKyUL4ioLRc/CSsUAOKMaALBanpY9CyahMF/dDfWsLMpWFqaas5Bf59rWqcO8tOtwv1Pp+xjFCjfvgrIwqWfBlECdWO/n3aIq7muXIbF2nMwTdkMihJDlhMnCjJjPTbHKkAZRWVlIhrQVy5DMPABfsrDSRrLg7PjHcV4eEzqeBW8ZkvINZSvuZmtryrNJLNwddTt5qeoK1YTE4JwkXnUBy9YgxlpaxtUNg8LUY5so1jiy2kG/E+xpsmDM1ScP9bJytSrVYJAlC51aBYKQtqFngRBClhMmCzOiK8qQXM8CkAauVhCYlyG17FnQRYOzOxAudoaymTkLbuCpNMqehVI3JF1SFtzz2MlC1byJRs8rfaykvWh9GZK5pr1OTbKgFDphgJPrPVxqsRuSefpNk4WLaaJycr1XOenbYG43yRADNzIvqCwQQshywmRhRsznZsHg7OmGBADdQJwypGplYXUmz4LK1gRYyoKylYWiwVnpcoBqlyFJOnSuNGdB5wqGeTw3jvcqCzPNWajuhjSKFYaRyq5pr1PdinQUa3QDwfH1HjZa7IaUJQsNd/03NpPHPnkoL0OqWrNdhgQwcCPzg8oCIYQsJ0wWZsRncB5GKgucbTphUCi/aWJw3qnYFa/DPIQphTKJS5yVxxSTmcxM7agY2jI4A2YSdDmhMEPjgooypOIE5+mVhXzOQvWU423HB9ILg9KQuGxdcaIsnFjv7UoZUtPWqZe2hggEOLbazX5nVcnQMI4RBoJ+J/md0eRM5oV5rbEbEiGELBdMFmakMJTNzFmIVMFAbOiGUhjKVmdwXummcxZmURbS9ZiAP4r9ykL2WO4wNZXPWQDgHYamrFkMJmmo9SxUTIJu9Ly0NWehIhDfHBYTsG4nKM19MIxSo/fJ9V6r3ZCyrlMTJAsn1nsIAmmkLPTCYKYWtIRMA5UFQghZTspRKpkIExeL5EH5yGlNaugERWWhURnSVAbn/PGActtTn2cBKJc8mbkG+frLQXpsJR65Z8Fdj+mGFGSJxTRlSEqNL0Nyr2m/1uCs0A0CnFjvtztnIf3auBvS5gAn1nsAYCkvNclCJ6j0kBCyW9CzQAghywmVhRkxgXEgxdapoacMqdsR75yF9V67BmcTiBulw3Q+Mh/2yZyFYjck32MpnasFQFpGpcrKgkizMqQgHd7WDetbn1YR66QbUlgzuGzTSRaqPAtKaSidJFInD/WwPYyn6jzlI5vg3NSzkE5vBsoD9FyGcZoszDAJm5BpyLqpUc0ihJClgsnCjORzFnKj77CqG1JQDFy3BhFWu6H32JXO9K1T8yFojmehQllYqUhMtC6XIZWGsqn8eUvFnAWVqg/m567C0pRYGd9DdRnSlpOAVXVDGqVBdjf1LADtDWabdILzpc0hThxqpiwMTBnSDOVchExDttnABJUQQpYKJgszkhucxdmF9xmcnW5Iw8hbggQkO/q9TjCdshBXzFmwuyGF5TIkNzHxlSGVhrLZngWjLKiyshA616YqkL68NcQ//71PYjv1HhTWY1qnBtVzFvIypPo5C+YadQLJkoWNltqnTmNwvikrQypP+rbJypBmGG5HyDTEVutlQgghywOThRmxh7LZAXHojnAGSl18NgextxOSYbUbTmVwzpSFsDjBOVcWlNez4Dc4F8uQSsqC1Q3JPH+3/EZpXSjL6obV7Uw/fmYDv/fAWTz67LXSzzKDc00ZkjGNF+YseI7NkoV0zgKQT1KelUnmLIxihas3RjhhypCybkhV7V6NslB/HCFtE6nJFDNCCCGLAZOFGbGHshXajJaFhVKt/tYgwqGVao+5GZY2KVmrUqMsOLMNyt2QjMHZnc6cT2UG/AZne8pzUFGGFMXFsqc6g/J2mhz51IDM4BzWGJyHjmchDDCKy5OO8zIkS1loqQzJPP8mcxYub+XTm5P11LeWNcrCOAWCkLbJNhv4miOEkKWCycKM2EPZxikL7o765iDympsNq70QO6PpugYlayhOXx7bDclThhSKUz5Uap2aP445tNw6VRXKnrphkAXrLibY96kBZj2J0bqidaozFbvXCbzny8uQAhxd7QIAru+US5+mwSQmTZSFi5v59GYA41unpgZn8/piSQiZF6OYygIhhCwjTBZmpDCUzanvdyl5FgZRFtT66E/rWXCSBfPVLiOwk5mVXvL9uG5IYVAO0mNrynPeOrV8TLEMqUZZGFQrC6YMqRtIpclyaxClQ8uS59RLd+rd85lgvBNK1lmorQFnaoJkYSNTFkw3pPouR+6chaqki5C2oWeBEEKWEyYLM5LvogtsMSH0DmUr7qhvDaoNzoBRFqaZs+AqC8Vd6CplwfVHKCsRSM5TVha0lQhUlSHFyjU4V09grlUWlFFwgpo5CzHWe2HWeSlTFpxkwSQ93TAfhNbWjql5STRpnWp8EiccZWEYjSlDGjPpmZC2YTckQghZTpgszEg+ZwHFMiTPnAW3Vn9zENcnC92wNCitCW6yYOYtxCqp3XeD95Wm3ZA8XYyKQ9mKj2/weRaqau2NZ8G3y588lvF+VM9ZsNUakyy4j2eSnk4wnVn4gScv47mrN7w/yyY4NwjkL6VlSDc5noWqgGwQmTIkqT2OkLYxf9dKN+/0RQgh5ODDZGFGCkPZxpQhuZ6FpAxpTDekaIpkQedtQQEU6tvzacpFD0E3FG8Zkvuc3ABY6Xy+gilZKnkWrI5J5vGqAnPT+rSuDKkTluc92Pdfs5OFyjKkXFkw12ISs/A/e9sD+A8f+qL3Z5MqC2EgOLKS+CbGzU8wnoVMDaGyQOaEvVHQxLxPCCFkMWCyMCP2ULZifX99shDFCjdG9crCyrTKQpzPfgCsAFTp3M/glEmtdMqdl1RpKJundWq6228/nhtHuGVPdXMW6pIF03nJeCdcbwSQmsata9rNDM7F52Z25DtBgCAQBDLZLn3dxOfcszD+PBtbQ5xY72WvHaMs+MqwANuzwAnOZL7Yf/v0LRBCyPLAZGFGTGAorrJQNZQt/ZDdGhbnAfhY6U7XDamsLJhuSMqrLADJFGc7+NVap61Ti8/JNdTG2m6dmtzm7qhHylEWguo5C+a6DD075rbB2ZxXa41/9/7HcP76DoAkiLfVGqMsDCqUBfN7quuw5COKdeXx5tYmu68XN4dZJyTAKkOqUAzyOQtUFsh8sV/v7IhECCHLA5OFGalqnRp4PQu5MTefNFxncJ6uG5JJCEyA7lUWnNaurj/CLq/K118u/1EaY+csKJ+yUOlZqClDMhOcrYD66Y0b+Pn3fR7vfuhZAKlp3GpH2x/jWTDBebdm9oMPu6TLJVcWxid6G1vDbMYCAGsyc42ywAnOZA+wX8+ctUAIIcsDk4UZKQxlc0y8LrYxt1Gy0J2+G1LHUxJV5Vkwj2UnJrH1vPLzlLsQJaVByfdVcxbcVq2dMMCosgypfihbGNjdi1Q2V+HJS9sAygbnboVnIXKuQ6fGR+EjUqoyUDcxVZPTXdocZNOb69ZryJKFoN12r4SMw/7bZ/kbIYQsD0wWZqSgLNgTnCuGspkAMx8eVm1wXkkDeF9tfh2uodhOFsyHvOupWHEGwOVeDMfg7AQJStvdkFJlwdsxKf9/19OC1WCUBW83pPSxQqsEx7RaPXNpC0C5HW1V69R8zkKqLIRSmcC4KKWhdHX3JPP7atIx5tKWW4ZUrxgYg7M7aI+Q3aZgcObrjhBClgYmCzOSexZQnLPgubKdUDCKjLKQ7KDXTXBe6YbQulxvP4449isLUa2yUCx58pYhVbRONb4G8zj+OQu2slBd8pMpCzVzFrIhakplCs1TG9vZ/b3JgmtwtrohAaZErNl1tofb+dDOcVUMohjXd6IKz4JfWRnFujCUjZ4FMi/sBIHlb4QQsjwwWZiRfIJzM2XBGIQ3G5YhAeX5B+NwJybbQ9lMcFlSFpySJ+UpQ/K1TtVWe9WqMqRyN6SgcvJwrWch7c7UtXbVTXLxzOUbuDGMMYyV1+DsDjmzuyEByfVoGgBFYybZZp6FMYrQ5a0RgHx6c7KedCibJwkwCVTSOjVPmAiZB7aqSGWBEEKWByYLM2LiQUExAPd5FuxgeysrQ6qf4Axg4o5IsdKF1qheZSF0lYWiwTkzSUsxyHeDhKTkCYVj3bKpSKlC8lJnJs67IVUNZXPKkNLrGCmNz5+7DgBY69nKggm+q+csmK9Nd+nHKQvm5nFlSBc3i9ObgaT7lG9SNpA/h741lI1BG5kXcapqAVQWCCFkmWCyMCNZuU4gY+csmPacWue19vVzFpJfz6QdkWLlKgtpYBmr+m5IBWUh+SqOsuB6CVShdWpVNyQnkaowE49ilSkKrrKgrOQl21WPVXYdAeDR564BKCZgvTD0ni9TFtJzJb+bhmVIaVIxzrMwLpDf2CpObzZ0K9q4mufQDQN0M4MzgzYyHyKls+5iTTp9EUIIWQyYLMyIXa5TLEMqJws9y7xqypAOr4wvQ5p0MJvZgTeYJCbWqPQs+OYsuM/DNzlZKdvgnD++TaRUQcmoMhNvW8/TTUpiaz1221CjLADAo88myUIzg7PTDSmQxoG3SSoqPQvpzU2TBVtZAJLr7CvDGlllSGHmWWDQRuZDrDT6XSoLhBCybDBZmJHCULYGygKQ7ogPIoSBZDt1PlaMZyGaLVnIO+eoym5Iq123G1LyNXC8D26QYM9ZkExZcEuViudZ6YbYtoJ8w7alErjBcqysZCHI5yxsDWN0Q8FKN8iUhXXbs9DJr7lNbnAOsq+NDc5xvXLQ1LNgypBsz0K2Fs/OrbkmhaFsDNrInBjFCv1O8rdFYz0hhCwPTBZmxO4a5A4wczG3jeLEmLveCwsTkl0yg/OMykKzbkjFNq3VBudyEB843ZDcGDlWqvB4pw+vYGsYF1QBIO+EBHjKkCwjeR4oq6xV6p0n1vAZTxmS8SRUlyHla28aeJtrOM6z0ERZ6IaCI4661A0Fo6h83yxZsAzODNrIvKCyQAghywmThRkplCGNURbstpju8DAfxuA8sWdBVygLsT3B2e2GlJiXTSmO8QjYyUzoaZ2qdD6UzXwtDWWLi+u5+Uiyk37++qBwnJ08uIbkXFnIA/w86ergzhPrWRmTv3VqhcE5yOcsNA28jUpRpUSohp6FS5tDnFjvlRLGTuDvFjWwkgVzOTkci8yLxLOQvCfRs0AIIcsDk4UZUQVlIb/dX4ZUrLWvMzcDeRnSpMlC1EhZKP7q3cfylyH5k4XSUDbX4KzdZGEFAHDu2k7hOGNWFvEZnPP12ElXch1D3H1yLTu2aHBOjnVnVURxUVlISqyaBUDmGlYmAw2VhUtbw8L0ZkNV4mK3ThVJJllzh5fMi9gyOFPRIoSQ5YHJwozYQ9nEShh8ZUh2F5/NBsmCKUNyy3XGrsnphmTWpXT1nIW8TatJFvKdfEMnSNQHuzWqXYZUNWfBTV5OH04CZDdZ2E7LkI6sdEtKgLIMznbb0K1hhLVeB3dZycJaL/csiAh6YVD2LDgtZDvhJAbncWVIxVKuKi5tDUqdkIB0HoevdWqa8PRNB6cJBskRMgtaa6cbEpMFQghZFpgszIi2aumBPAj3D2Wzy2fGlyHdcnQFK90An33++kRrcoNzIDcn181ZAPLOS7ZxOz9H2VSrdd5tKVMWPFOeC8lCqixccMuQUmXh2Fq3thtSdh1Vfh3vPLmeHesmYV1PdyFz/rwMafLWqdUGZ9T+3LCxNSx1QgLSoXU+ZcEqQwIm6+BEyCyYl7JRIKloEULI8sBkYUbceQQmYPYbnNO5CcMYFzeHha49PjphgC+/7Sg+dfbqZGvyJAthkLQ9HVV0QwqdRMA2btvrAYpBcFzwLPjLkNxk4chKByvdoKwspInKsbVe7ZyFvBuSwvYwxlovL0PqeDpM9TpB2eAcJ+s2iY5vOnUVeevU2TwLO6M4S9JskvKiamWhm82GKLeyJWQ3MK9HKguEELJ8MFmYETeozur3vWVIyW3/9G0P4KmNbXzdS0+NPf+rbj+Gh5+56i1LqSJSupSsmGA4duYLGMy63UDX7YYEFNuQKp2XPFUZnGNnPSKCm4+s4Nw1v8H5+Fq3tGNeNWfBGMVvPbaKMBCs9zslw7AvWRgplSU/gClDaqgsmDKkiuTC3DouoIqVLik8QE0ZUuwoCxOoIYTMgnkt96ksEELI0sFkYUbcFqNhA2Xh3LUd/NIb78E/+Mq7xp7/lXccwyBS+NwEpUhK61KyEoaSzlnwexbMuk1QYHsEsvWHxWOAxHgsmWdBIIKCpwHwl0WdPtyvVBaOe5SFrBuSFOcsbA9jrPVDdMMAtx9f9ZZ29Toez0Ks0S10jAoa75ZmE5wrh7I1m7OQJHXlP8Gq8qKRmyywDInMCfM6W+EEZ0IIWTqYLMyIW9tvgnRfN6RX3n4U3/bKW/Cuf/Y1eMM9tzU6/z23HwOAiUqRorisLIQiiHV1N6RsynOWLCS3j/MsJJ2OrPOIlLsh+ZKFIytez0K/E2ClG5a6F2XdkArKQtEo/sKb1nFktQuXbhhgUEoWFLodV1mYrAxpVs+C21LWXq/PuDywhrKZNbMchMyDXFngnAVCCFk26h22ZCxuGVKmMHiCwNNHVvDL3/maic5/x4lVHF/r4pNPX8F3fuWdje6T+Aj8noWqCc5h5jcwnoVyGVIYlNsmun4E03XJxreDfvPhFXzw2vnCbduDGOv9DnqekqC8DCk3Je+MYgwjhfVe8jL+yf/6y7ydo3qhrwypuKbuBK1T8zKk2TwLkTOsLltLReKSdUNKk5xu4C9XIqRtcs+CmbPAZIEQQpYFJgszUipDqlEWpkFE8Mrbj+GTZ680vk+sNFa6xeA88yxUTHAOHWUhdro8ASjs6BuULqoPkioY7nrc5OXmI31sDePCcLqkDWro9RjkHgpBmK7j6o0RgLz70ZecPuS9Hn2vwVllHhLz3BobnMeWISVf7aTpA589Dw2N13/pzYXn5PMsdMa0TjVlSOEEpmxCZiFTFjhngbTAKFZZowZCyP6Hf60z4g4vq+uGNC2vuuMYPn/uOraHzeYt+ILzMDTKgt+zYMqQshkB2RC0/JisDMkKFGyDM5AoFG6pvi8oPm2mOFu+he10GnOvE9TOWTBegyxZ6NV3lfJ5FkZxcU1VpmIfcdYNqRwwuTMoDL/6oS/gVz/4hcKxiZfD32LXd26/wZlBG9l9zN88lQUyK9d3Rrjnp9+LP33k+b1eClkQnrlyA58/N1mL+d3m/jMbC/U+yWRhRuyhbED7ygIAvOr2o1AaePiZa42Od7sPAePnLOQG5+T/yqsslOuVk8QkP08g4+csAEkZEoBCR6StYZSZlWNrreYcZp1mHa6yUEXXV4YUq6ycCcjLtJowqpmzYN9kX6coVqXrpnX18L5aZSE0syH8LVYJaRt6FkhbXN4aYWsY4yOPX9zrpZAF4f/4k8/ih9/+4F4vI+MLFzbx3/3aR/HHn3p2r5fSGkwWZsQdyua2UG2DV6Ym508+3awUyRec556FKmUhvy9QMWchMzgXW6cGBc9C2eAcKVVQH4B8MNv567mysDWIMmUBKLZozcqQLIPz1RuJ0jJuXoVPqYgcZaETCkYNA6CsVMuZZg0US4/spClykp8q7whgJjP7PQsixYSU5SBkHpj3jT67IZEZGURJ17tPPzPZ/CBCqriyPcKlreFeLyPjmcs3AACffHpxXuNMFmbEHcq2G8rCqcN93HZstbFvwZssSJIsxGnQ7BqOXYNzpixYh3nLkJySJ3EMzlprKF2+HnkZUq4smAFrZufc7oiUlSGJZOvIy5DqlQWfwTkxFzsG5wnnLLjfAyiUYNlx/CjWBdOySRy63jkLUkpugKQMqRcGmUdkElM2IbOQexY4Z4HMhnlf/8xz1xq/5xJSx41RjGtpPLAfOJ92enzkWSYLYxGRO0TkAyLyGRF5RER+JL39hIi8T0QeS78et+7zEyLyuIh8TkS+abfW1iZVQ9l8/fNn4SvuPo6/+PwFXNsZ/wcRa7+yENUoC1UGZ/EanG3PQvFcQSCFZKHKUH2438FqNyzMWtgaJm1Q65SFMMjnLFzdTnYSxpYheZSFUaxLBmelyyVUPiLPugzF564K39v/N4mD37PgT1yGkcqujVkzlQUyD8zfommcsEi1uGS+mGRhZ6TwhQtbe7wasgjsjGIMIpWpVnuNaQv/6HPXStUHB5XdVBYiAD+mtX4ZgK8C8IMi8mUAfhzA+7XWLwHw/vT/SH/2RgAvB/DNAP69iNTXl+wDXM9CXevUWfgfv/ZFuLYT4a0fOTP22NhjnO2kQ9mqgvdszkKpdaplXg7KJQix1rArjJIyJF34uX1+QzLFuY9z1qyF7UFRWRh6lAURlJWFMclCv0pZsLpxmM4cowY79Y2VhYJnQZdazgIVw/sqkoBhrLIyECB5jTUtnSJkFqgsLBaPPnsND+9RGZAd0O3VGshicSMd6Hp9p1kTmN3GlFdf34lwNi1JOujsWrKgtX5Oa/2J9PvrAD4D4DYAbwDw1vSwtwL49vT7NwB4h9Z6oLV+AsDjAF63W+trCzeo3o0yJAB4xW1H8bdedhr/54efwPUx6kKsNNzqlrHKgilDcoay2V6DrqcMSTvdkFzPQl1QfPrISqEbUr2ykD+PIBAEMlk3pLLBuWgCDz3PrYqCshDXnZf9zQAAIABJREFUKQvW4ynlJBnVnoVeWFZCgFRZcBIc1o6TeVD2LDBZOMj8zHsexc+859GJ73d1e4SX/29/gr/+4qWpH9t+L354gco0yN6xvc+ShQvXB9nG8aKUIs3FsyAidwN4NYD7ANystX4OSBIKAKfTw24D8LR1t7Ppbe65vl9E7heR+y9cuLCby27EPFqnGn7kG16KqzdGeOtfnak9zqsspAbnpnMWTNJQHMpWLkNy27QGUmwfWpWcAMDpw/2sti9WGjujZMBa16Ms2N2QgKQzU1NlwW9wLvb59k2nrsIX9Bvse9uJQ6IslJ+Pz7PQqWqd6pYh0eBM5oTbDYnDAA8213ZGBU9YUy5uDbA1jPHUpe2pH9s87novpLJAWmFnlCQL+8W3cP76AF9+21GEgeCRZ5t1sdzv7HqyICKHAPw+gB/VWtddNV90XYqEtNa/rrW+V2t976lTp9pa5tTs9lA2my+//She/6WJurDpmVRsSJKF4m2BjOmGVDI4J7cXPQvltolKo9wNyfoMUjXJws1HVjLPgpkhsd4Ps4DYZ3A2j9UNcgVjtVuvLHTDAKNSGVJ5zgJQPZXZva/ve3udvuOKrVSrPQudIGkd6/onvJ6FKXd4o1jhP370DIM+0giTFHfDACJUFg4628O4kT/LxdzHp3w2xWwC3XPnMTzy7LWp1kGIzY3R/lIWLl4f4PYTa3jxqXUmC00QkS6SROFtWus/SG8+JyK3pD+/BcD59PazAO6w7n47gH3fpNYNqnODc/vJAgB811ffhSvbI3yqpjOSb9hXJzTKgkIYSCEJAGxlIfm/mwQBdjek5CDl7Pab430Bs+963Hykj+10irOREdfGtE7Nrm8a3K/3wpIfwsWnLCRlSMXA215vHXFNsqA9iRJQnrNQd12y5++oFsPYVRaad3By+esvbuCn/ugR3H/m8lT3J8uFrUh2gumTVLI/2B7EmZ9sEsx9ZtlkMJtAr73zOLaHMb54kSZnMj1a6yxZaNIAZh6cvz7A6cN9vPzWoyxDGock0ehvAviM1vot1o/eDeB70u+/B8AfWbe/UUT6IvJCAC8B8LHdWl9baCeozsqRdilZOLraBYBaCVnpsrIQpkPZIk9b1eTnydc4UxbKxmQ3oPYlFCJS+BCy5yO43HzEDGbbwdbAUhZ8ZUiON8QE2WtjSpCAxAMwinUpeLdLgMyAtiYfgqPGnoW6MqS0ha2vDKnCP7EzijODqbnvaMoypEtbSfnXfukeQfY3tiI5yQBDsj/ZGkaYJt4370muB2wSzH1ffVfSCHFRgimyNwwilTUWGefnnAfbwwibgwinDvfx8luP4Ny1AS5uDsbfcZ+zm8rC1wD4LgCvF5GH0n/fCuBnAXyjiDwG4BvT/0Nr/QiAdwJ4FMCfAPhBrfW+j2TcSce7rSwYg+FgVP1mHcWq1Lo18yzE5enOgFWG5Bici0PZTKlOsb1qoQwp8HcE8j3mqcPJrIVz13a8yoKtBrjlTCbIPtQkWfCcLylD8igLDYJv33A1g648zh3KVtcNqXidDVuDqODP6MwQtBm/Bz0PpAnmddIJgsqhgeRgoLXG9jCeqqWjakVZSN7rX37rEfQ6AX0LZCZMJyQAuHZj78uQTNvU04dX8GW3HgGQdB876IyPtKZEa/1h+H0IAPANFfd5M4A379aadoPSULZdmOBs0/cEvr41BZ4yo3plwTE4+8qQMmXBlCEhPcbqKuS2Ts2C/HJeeuvRVQDA2Y0buPNkco51q3Wq/YHkdmcyicvamE5IAArnW0n9DaNYZd2dkvUVn1sd9m5+nWch1sWkwi79qvMs9NLr7P6ONwcRbju+mv2/E04/lO3K9ihb137mXQ+exV0n1/GaO4+PP5jsGrYSZtowk4PJIFKFZheTYO4znCFZzA3OHbzsliOc5ExmwpQgAftDWTDJwqnDfbz8lqMAgEeevYave+nee2xngROcZ8QdymZiv91KFnphEuwORtWiSzJDoNwa1cxZqFMW6uYsuOUx2VRl61Xktk7NyxfK67zzxBqOr3Vx/5MbmcF5rV/fDclcX/P8xnVCAixlwTpfFFcYnBt5FornsfElSlon05snVhacgGxrEBemVXeD6cuQLqcD7Wb50J8HP/3/Pjq2+xfZfezXKz0LBxuj4k7jWWhDWTDvw/1OgK9/6Sncdmxt6nMRYicL1/aBwTlLFg71cXSti9uPry5Eqd2uKQvLgjuUbTe7IQF568JaZUF5lIUw74bk28026zXlPrFPNaiY8mwfI+IPmH2PGQSCe+8+gY89sYGvfUmSda/3wmwH3tcNyS3zGjdjAagqQyoOZavyCfhwW8fa2J+/bmepWGlorRNfxxSeBbcMKUy7Jk3DVaMstNQN6c3veRSrvQ7+l298aSvnAxKPxpXtETb3wQfAsmM3GKBn4WBj/GHTdCFqw7MwiGKEgaATBq2+X5DlpFiGtPfKgmkHf/pIUmb9olOH8PTG9K2G9wtUFmbE3YEPnDKZtvGZf10ipUo71vmchfLPACsRKBmc82Pc3XftSSgCkUItbJ1nAQC+8oUncObSNs6kHTHW+p2s1MreNXfnLJi1NFIWPNdsFOtCGVLXU/pURVQoQ3I8C7p83MjxSpjHByqGsnmSG601toZRwaPRDWXqHT6jLLRVe/6xJzbwF59vd+7J+WvJm+71mjbBZD6UPAtMFg4ssygLbXRDcodLEjIL+1FZCAPBibUeAODwSqe21f1BgX+xM+IageelLFR1Q9Jal2YfmPXUeRZcg7OvDMmt6489vgYzz8FgjnWVDsNX3H0CAPDBNNBc74XeMiS3O1NWhtQbnyx0Pa1Yo1j5Dc4TD2WrLkMy3/vmK+RJlH/Ogn0sAOyMFJSGoyxMXw5yJd2BmaVfuk2sddZhqS3OXU9mcFBZmB9Xt0f4o4eeKd2eJeshlYWDztbQKAuT39fcZ9bWqeZzjJBZMcpCN5R90Tr1/PUd3HSol8Uqh3odbA32fa+esfAvdkZKQ9l22eA8Tlmo2sm3Jzj7Sl/KBufkdjvI7zpBrFsaBJgypPy85sOlSll4+a1HsNYL8eBTSb//sXMWsus7ubJgJ1gj5zp0JmidGhWSjvGehdijRNRNtjbrstdidiYO9e3WqUFW2jQpV1ouQ4pijY3NYSvnMjx/NUkWrg/2/gNgWXj3p57Fj7zjIVxyWv3Rs7A4bKeByzQJn3n/GkbT//6pLJA2McrC6cMr+2Io24Xrg6zTIwAcorJAgPJQtmzne5eShU4YIAyksj9+7Angzf9ruyFlBuf0PKqYBAHJriJgd0Mq7vabx7GDV3Ns6ElQzPN57V3HoXQS1Pc6QTb/wGdwNms3JUTr/fGehb7X4Kyy5CdZRzFZqsM+ps6zYH428hiijWeh67kuvm5Qps54zTE4A83UEJcrpgyppaBPaY2tYVyoH50VM92bysL8MK8z93VhXq+5Z4HdkA4qRlmYxeA8iyJJZYG0ifnMOX2kv288C6cOWclCP0kWDvqkcv7FzojWuhhQ77KyACTB5Dhlwdc6VdXNWUhfCfmcBWPc9nRDqlEf3G5IriLg43VpKdJaGvh75yxUlSFN0Q1JqaRUq6gsNDc4j+rmLNjP3ZQheVqt1nkWfCVRm9nQOqsMyZoN8eSlLbz5PY82ekNSSmdzFlorQ0oft81SpCxZGERTqSdkcswHr5sEjzLPQpIscM7CwWV7OL3B2bxdjGYcykZlgbSFURZuPryyb1qnnj68kv3f+AxNkn5Q4V/sjCitvXX9dcHxrPQ645OFchlSPsHZVyfvGpxNbGYHs25AnakYhWTBX4pTp7S87oVJsmD8B94Jzum37pyFJt2QcvNycae/a31gTWJwbtI6NRBLWXC6MCXnGO9ZsD+Qt7IyJFtZyFusvveRc/iNv3wi68RQx/WdKEvo2gr6zPk2ttorRTqXGpxHsa6dWE6q+avHL+KX/uyxxsfvpIqlcpKz7PUaBumcBSYLB5WZDM6e97RJGUTFSfSEzILZ4Lj5SB/X93gHP1YaFzfLZUgADrxvgcnCjCidt00Fkp1vkbLBuE36naAyeMrnEZSVhawbkqf0JZuzUDOULXSVBWXUh/wYqVAW6q7Hq+44hl4YZAPWRATdUAq73vm06OT/UykLcfLHGsXlBGYSg3OToWydILDa0JYNznWehV4n9SxY9zO7EusFz0KevJnuRjs18zcM5tjkvi0rCy36Fp5PlQUA+6IW9SDy/z38PH7zw19sfPxO+sHrVhnZnoWQ3ZAONLN4FvKhbLOVIZn3ZEJmJfMsHFmB1nu7g7+xNYTSedtUIN/g2zzg3jv+xc6I1sVSnVB2z69gmE5ZEERKjZ3gnJchJbcXZyhIapROy3k8/ohAivJ2rP3rsVnphnjtXcdxYr2XP0en1MqcszzBefLWqVmyUJizMImyoDMfhPuBa/7bDXMTqF2qZI43QbrPs5B3Q7KVheQN0VYWzDUdKYXLqWF5p8LLYnPFqutsayibeV4XN9srQzp/bSdLVhfBILYXxHqySb3mg7esLOSeBdMsgRxMtmYpQzKehZnmLKjs/ZOQWdkZxQgEOJnGD9O2T316YxsPPX1lprXYA9kM5jP7oG94cSjbjLiehSCt6d1NZlMW/J6F3OBcrRqY87jtP90yLFUwOFfvoNv84hvvKQTqvU7g74ZkDM5pkH1oAmXBXLORx1w8kWchVtnvwPUsAHkikk87LXscJu2GtOXxLJhkJ1Y6Myw3MRjvprLQVhmS1hrPX9vBnSfWcObSNk3OU6K1LihU49gZFdsiGyIrWQ/TjQdyMJlpgnMrZUgKR1e7U9+fEJvtYYzVbogj6Wsq8S2sTnyef/XHj+LTZ6/ir//FN0y9lvNpu2+WIZESJc+CyK4NZDP0OmF1slCxkz92zkJJWfAbpbthUDY4B0X1oeBZqDHy2tx8ZAW3H18rPE7dnAVzvrUG3ZB6jmfBHjBlmLQb0ko39B5vKwtZ61TPXIY6z4K7XsBvcLYTHNMK1QR7dZjpzfZ6ZsW87i61lCxc24mwM1L4ktOHALB96rSYDYKmZMpCqRtSsikSUFk48OQTnCe/b+5ZmP73T4MzaZMboxirvQ6OrCTJwrUbk28saa1x/5kNPH9tp3FHv6vbI3z4sYuF24yy4DM4swxpyVG6vLO+y8JCUoZUsbNjAmHXYJ20NE12hKqSmTAQa4Jzfpt7jNmN9vkaAmfOQlUr13G4pVZVE5wnURbM+cyumO3dyAzODT5BI6Wz1n9VBmd7yu3IM5chqwH3lSGFuXHZYHYlbEO3rUCM8yx84LPns5+ZY8NAxtYef+rsFfzC+z5fewyQB5dteRbOp36FF5tkgcrCVMQKE83i2MnKkIq3240RZhkGSPaefWFwZutU0hI7wxirvQCHV0y5z+RB+RMXt7JS3rOXtxvd5x0ffwrf/Vv3FT5zTYORgrKwIGVI/IudEaV1oVSnE0qhy85u0O8EGFQEhT4fAZDvQg8jVRm4hyJZ16G8dWrxGLsWP3ssp3WqHZjU7aDX4SZEsaN0mOez1qAbUp4spAbndE3TliFFscJK2s2jZHA2Q+hCyQJo38Rnk3D5SsIyL4I1+GhrGKHfCbw+i6QMySgL5dfF+Ws7+L7f/jh+74GzAPKBbCfWe2PLkP70kefxS+9/bGywmSsL7XgWjLn5xaeSZMFXhhTFqpGhe5kxv7emwb25nq5yEFuKZIetUw80RlmYyuDcgmdhGCn0qSyQlrgxKpYhTTPF+YEnL2ffP7XRLFm4cmMEpYGBpeZfuD7AoX4Hq1ZckisLTBaWGu0oC//wq+7Cm/6bl+/qY/brlIWKWngz8XgQqUqzcRDkCYCuKEPyeRbESRZ8ZTeTfjZUGZzdbkhNlIVsyFtsDM4mULfLkCYzOOdlSM6cBZhEJPDPWYiLrVP93ZDKKsfmICo9126mLGhcuZF6FjzBsylN+sL5TQDJQLYjKx2sdIOxQV+ePNYe1no3JNM21ZQh+d5of+1DX8AbfvkjrTzeouJ7DdZRZXBOFElTAshuSAeZbavMYlKTc1vdkKgskLYwnoVcWZg8KP/EU5cz033TZGE7/UwaxPnf0+YgytZhMKXDW0wWlhvlGJy/9AVH8HdedeuuPmaiLPjfrFVFEGo+6AdRPEZZqDYvJ+fJAwXfLAZxypDy9UyuLBQNzvkazTqAht2QOkUPgPnaLZQhTdY61byxuMeba9IJJFMZ7HKiyFEb/HMWyirH1iAqtYk113RzEGUJgc+zYALGJy5uAUh2RI6v99ANqpPO/PmY9dYf17bB2Qxkq0sWnru6g2ev3mjl8RaVbJ5GwwJ18/rxzVkwCbrdEY0cPOzWkuNKkc5d28HA6rDWtAxJa125k0rPAmmTxLOQJwvTTHF+4MnL+KoXncR6L2ycLGympcH2pubQ0xa41wnQ7wS4zmRhuXENzvOg1rNQkSwYY/Bg5J+zYI7J5ywkt7neh06Yd0KJPapB4o0oKwuTtpPthf4ypKwUIhT0wqBRv27zwWRM4Wb9dqCeDaWb0OBc6VkIg7zzUUFZcAzOnt9Ft1NWObYGcSlZMPe125X6ynLMY525lCQLl7dHOLbaTX6XY5WFZjvTduvUNqYtn7u2g6OrXRxZ6aLXCbzSspqwLegyohr+/gxVE5yTxgipZyGkZ+Egsz0oB/8+lNL4xrd8CG+/76nS8eMMzu999Bxe9+Y/89aPJ54FDmUj7bCTliH1O2ESlE+oLFy9McLnz23i3ruO444Ta3i6qbKQJt2lZMGTCB/qdw58Rz+2Tp0Rpct1/buNW6JjU1XeknkWYlW5y2+3Pc08C0H5GNez4JYhFQzOacA86ZC6UjcklXhDzGN92ytvyfoqj0NECtdsFJcD9e4EcxZGSmGl61cW7G5ISic7bEXPQtFk7Zv0na+lqCwccjo/mePsZMFXhmR+T09vbGMYKVzdHuLYWg/R5mC8YtCw5l1pjW4oGEQKW8O4UXlYHc9f3cHN6WCbwxVvtLHSDFrHkCV7E3oW3MPjOG+53GU3pAONrSy4CpLNMFa4thMV1ELV0LPw3JUb2B7GuLw1wuGVvE2q1sk0dioLpC1uDGOsHk8+G4+sdif2LDz4VOJXeO1dx/HpZ65mm2rj2Eo3VuxNzWHsHzh4aKXDMqRlR2tdCJbnQb8TFqRhG7drkCG0lYUGZUjmM6TUOjUIsnaofoNz8QPI/B1NrCx0gsLAMKV14XFee9cJ/NDrX9L4fN1QrKFsZs5C/vIP0i5WTXZgY6WznbGSZ8FpXat0cZaBrSyYVpQu3jkLQ18ZUqosXM+TBZ/x3VaLntrYTpSFtS46YTB2KJv5VY4LDmOls0E0Gy34Fs5dH+DmI0n7uUMrHW9Jg+n0Q6pRDcvIDDsVngW75XIYjPe6kP2L7Vmo+/vJlVj7/byZZ8HcZ3sUlW7XGhzKRlpjexhnSv/hlc7EQ9k+8eRlBAK86o5juPPEGp7a2G6kjpvgf1wZEpAqC0wWlpvE4Dzfx6yd4GwC+NCvLNR5FgJLWci7DxWPsQcymc8Ld8qzT1mYuXWq1hOrE+75TPBdVRrVCYNmrVNrPAvmv3b701FBWch3eqs6ROWehaLBeb3nNzhfGKMs2AHBmYtbuLI9xPG1HrpWG9wq3InTPrTWUDpvF3exhY5I567uZMnC4RW/smDKkNooe1pUsmShQXCvta6Zs6AczwKv+UFlexjlmxk1f/7m/dfXsGIUq9q/O3OcO4jKJCA0OJO22BnFWVfEIyvdiT0LDzx1GS+75QjW+x3ceXINOyNV+EytojJZ8Khm6/0OW6cuO3vhWWgywblKWVC6epffVhaqh7KVy5DsmDeQYqARVaxnHEnZULFrx6TnKJyvE3jmLBRf/t2GLSEjlbwh+JQI8wFqAnmlioG2HXxXeUdEBN1QCklGYnAuliGZ9V+4nu/kew3O1nkev7CJazsRjq52kwF747wIDcqQzPlPpYNoZlUWYqVxYXOQlSEdqnijVQ1LpJYZc2maBPejWOfH1ykL9CwcWGKlsTNSmRm0zuA8cFpNA/l7u9b1rynznucOuDLvwSxDIm1hWqcCycbSJEF5rDQeeuoKXnvXcQDAHSeSwbBNfAtGobOThUFFGdJhKgtE6XJAvdvUKgsVu+b2zn5lN6Qgn7NQVYZkt07N2pmWPAtl2dpVOsaRKAHFcqZJ1Qn3fHnr1GJAb+iEwdiddnP/MJBCZyhDpiyYGQgVnoWqSdrZWoIAI+t37DU4mzKkdBfk5HrPryxYv49PPn0FAHB8LTE4N+2GVBcYmPMbZWHWWQuXNgeIlcYLTBlSv+vtJOGbkE2K5J6F8a9r+7XjHh5ZngV2Qzq4GFOm8RHU/e34lAX7vaTO5Gx+tj0s/t2aBIQGZ9IGRg01ycKknoVLWwNsDWO85ObDAIA702ShSUekrax1alFZ8JXYLYJnYawLUURWAHwbgK8FcCuAGwAeBvAerfUju7u8/Y87lG0e9DpJkBp7As58HkF1stBkzkKeCBSPsbv8ZB2TrIPsUiagWukYh+0xSB5Lz1TuZRumfd2Qkv832zGNlEY3DNAJy0GTqyzESld2Q6rzcdgKjtYaW8PynAWjTFy4PsBqN8TR1a63G5Kt9Dz4VJIsHFvrJcpCw5aoddfFnOK0KUOaUVkwMxZO22VIA383JCBRilYYfHiZRH2xXzs+zwInOB98zG6oURbGGZwBJ1mwvh9GqjB8ysa8r7ibF1QWSJsMIgWtgRWrDGkSZeHajeTYo+lAt9uOrUIEeOrS+JbcW95uSPHCehZqkwUReROAvwPggwDuA3AewAqAlwL42TSR+DGt9ad2d5n7F3co2zzop9ODfW/WlfX4hTahFd2QpNw6tTxnIQ/ifb6GZIJz/n+35WlTShOcx+zEjz2f1YrVN2cBQKNWovZafEFTSVlQ2pmzkCsLbhmUTTfMPRY3RjG0hkdZyLshnVjvYaUb1rZOveXoCp67mswvOLbWTRKShkPZ6hQX8zs+1O9grRfOPGvh/PVkjSb5qPIsUFkYzySeBfu145an0LOwGJjdzUbJQo3BGag3OUeZskDPAtk9TJnbmlEWVjoTeRaMCnEk/XtY6YZ4wZGVscpCFKus5LeQLMQqi89sqkppDxLjlIWPa63fVPGzt4jIaQB3trukg8WsO97TYDJXX7KQBfB1ykLdnAXH4OzmQb7WqcH/z96bB8uSnfWBv5NLLXd9ey+vW+pFTbeEVpAQEkKrwQiIATNYAwwDBnsQNgwTyB4Ce0wAtrAnBhCDWYwQYBAYOwgbYTQIPAIktRASorUL1Jtet6Tu1tv7vbvWkpln/jj5nfPlyXMys+pW1V1e/iJe3HfrVmVlVWVlft/5fkuFG5KLqtQEnTAs0HBSubdmoRs5JguhPVloJnCmNFtX0aTdkHyTBa5ZqKIhhUI3C7Qi4aMhDZMMx5Y66MVBpWbhWWdWWLPQyd2Qmoay1WsWgkDg5EoHVxqIw6pAnxNNC+hEazuP6UamLVy9mMQ6la8C2+LVkhtS+54fSpjJQnMaEp9MFmlI/nPH2NMstJOFFrMEnbOoDlrrxxgmmcrycBTtNqix4Pa+TbIWdti5smnOwjDJME6zggvjYULlXksp/6jm7xellA/MdpcOF/ZDs0CcOJd9KtmalicLDTQLQjABWzHXgMCpK37NAtsfSl6eNGchEgUuYJbtTUheFDi736MmK+2ASbMNg6DE26XXTieETFqThdQUb1XvCRcfk6OInbPAm77jSzH6nbBSs3D36ZXC/ZsIunXz2KBZCAVwcrmLK3ucLNjTqJVehCSTJVG/nGDV/EYFfWxNtDi80bTvzmlz7WRhcXjy2i7+5qnrM9teabLQwA3JJXAGqpsFTUNqNQst5gi63nHrVACNV/HJZnW9bxbiyD61CjzYcGRpFnw5C4D5/v3+R5/Ahx+72mgfDwoqmwUhRCiEeKMQ4l8LIb7K+tu/nO+uHQ7sl2YBgNMRKXWs9gPNNAthUHRDcukMCgJnh2ZBCLcgbtKhQDen4XCB7V4mC3HoEjhbk4UGHH4KWQuDALFLs4AixSnJZKGhoAtvvWYh0G5IdIIpW6ea/T+2FKMXVdOQ7j5jmoVj/Vyz0NA6taow4EGAJ5c7uDIDNyTAHMOrXfcFwDg1tWJbH3SCc5PJQoX/fnGyIFrL2gXh5979ML7r1z9csrKdFrTSv0aThSo3JK1Z4DTKombBB99kYZg3pG3OQotZgM5ZWuCcH9dNqUh0vzU2WXjGiSWc3xg4r6UErj9okrOwbF3D3vxHn8Gvvf9co308KKj7xr4VwKsAXAHw74QQb2F/+5a57dUhwv6EsuU0JEcBp92QQn+z4M1ZEDzB2T0xUQVycbXZnixIi4YUOCYUdehEAaRkxfUeLWqLOQtEQypPX6ocPgDzmuM6zQJNFnIhOiFJzWpdlWYhCoSmYfloSPxzVDQkd7OQ6cnCMgDVuK32opmFsulwviBQNKQ9uiFl1mSBRsS2QKzVLNQjnWD6MqigIaVM4ExNbvu+zx9bgwRXtkd48Pymvu3Ja7s4n9MJJ8X2qDhZaEJD8k0WqjUL6m+lZiG/3VVQtWgxKWwaUt1k4Vfv/yweeNys6GvNQr/YLADAE0/7Rc7c5cvWLPisUwF1DdsZqVT0C5t7zyNaJOq+sV8hpfwOKeX/A+ClAFaEEL8vhOgCWPB6+sHEfoSyaRpSBT/dngpEU0wWXLU55ytTQcH10qFNQ5pSa0Cr5pw3u2eBs0VDim03JNYIZZnEf/rw50urZzo3InRrFqjQ5QVVIcG5oWaB0722Pc0C3//jS3HeLLiOCfVztRvjprUu1vsxgkDkjkt7d0MykwXgxHIXV7dHe1p11tS1/ABc0asyxdWiNmehHpqG1GD6UiVwtnMW6LYW8wXRdv7ys5cBqHPuP/iND+PH/tunp9rejqY0Nhc4F9ztGlqn0rFh5yznfiDIAAAgAElEQVS0k4UWs4QWODPNAgCvfepb3v0w/stHntC/bw4SdMKgcDzefqIPAPjC034q0raDhpTlLAKnZoHRkJ66phr9ixvTNfz7hbpvbIf+I6VMpJTfB+DjAP4cwIr3UTcQ9iOUrdNgsmAX1sXJgvtjVwJn9X+fRiDmCc6y3Jhw+9Wq7dSBXiNNA1I5g5wFWilLfZMFM334+BPX8M9//1N4z0MXC/ehi2AcBAVKFsFYp5qchXFmRPDcOrVas2CmHNujes3CsT4JnF00JPWawkDgzlPLOL7U0fs4S81CIAROrXQwTqXmgk4DY/+rfqcTre2IRPVvq1nwQ9OQGrxHhZwF6+68uW0nC4sDneM/+NkrAICHLmzikYtbTnewJtieIGdhqM+XrFloqFmgv+3Y1qlp2yy0mB1szQLRia47aEijRDkYPb1jaLIbu2Os9aMC8+HksnLhe7pCe7ftoCGNKqZmesFrmOCpa2picXFzeKjOoXVuSA8IIb5OSvkndIOU8l8JIZ4C8O/nu2uHA5mcnGKzV5DKf1jBT7cLUV5Y+hOcTXGReSYmUSgwTooFJH/9oiRwnm4iwB2fAENnmhad0KRea3tZq1ngAmc6GXzxWnEUSY2GCWWzRbcobDvNaUidSDkVpdw6tdINyTQuvslCkYYUo7/hETgzkfkPvuYeXNsd6X2suuCr11OvWeC0oZMrqhG5sjXU3tWToiRwZida1/1azYIfk0xfiqFsDhpSaNyQmm6zxd5A57+/euwqkjTDuz51HkC11qAKds7CxKFsDTULdB4tCZzzY6yJU02LFhyDcVrK06HFMdIsHFvyNws0mX56x/xtY5AU9Ap12yBscxpSWmwWnKFsXbPgRXTaNJO4sj3EmdWe93kOEurckL6TNwrs9l+TUk5XCRwxyP20Tp1ossBzFprRkGz7VXpuel66XhVC2USR75x6hNJ1oJX5Ibtg7XWyQAUv/SzRkFjxT+PNL1qjQj1ZCEWBtkTQbkgsZ2GcZohzQbShIdXlLJQblxINKeQ0JKNZKPHNdfENvOKeU/jG59+q97GuWWiiC0jYMfeSO07gF779RTiVZyRMA5tKRyfz8mSh1SzUYZIE56IbUpmG1GoWFo9RkiEMBLaGCT715HW861NfBDD9e78zShAFQhdX1TQkdQ7kjQk/XVRqFjK3ZqFq9bVFCx82B2N80y9+AD//p48Urm90fJFmgRao3M2Cun7wicHG7lg3zoTVXgwhgGs7/maBH9d6spBUTBYKNCSzAHnh+uHRLdQmOAPKFQnANwC4gz9GSvkW32NuFPiEwPNEx+Lzc/hC0HjB7s1ZECZnwRc21wnD0oqTHcqW2jSkKYr8bomGNAPrVOaGFIhyFkUUCuyO8xWxfMXCFhJSAR8GgTPx2RbnUs5CFAqEGWsWsqzWOnVzrE5uWx43pDAQEEJ9Vsdy69RMloNhfFkXcRggk9WfETEQqhOczfZvO76E244vee/bBDq/g1mnAmXNQqqnHm3R6kPWgEZGqEpw5s06/Wxix9pibxgmGV50+zE88Lmn8Vt/+TgevbgFYPqpzvYwxVInLJyffHAlOPPjYty6IbVYELpRiOeeXcfP/enDePzKNv6v//F56EYhC2UzoWqdKKhuFgqThXFB3Ayo89tqN6qeLOTXZB5SW5UhssIEzk8y4fSFjQGeh/WaV38w0PQb+04A/wDASQCr7N8Nj/0IZaP0S5d1Kl/l5WjihhQGgtGQ3K+rGwdadOcOZROlEJ+paEhhcXoyU4FzljlX9blgWU8W7GaBOSlVaRZodUElOKspQhwEBc1CJQ2JaUO2hwn6ceh8/bSNY0sdfQG2Rc511LSqILomWQZUtFe9nklgTxaWc62G7YbUThbqoQXOE7oh2c1CkpU1Cy0Naf4YJRluWu/hvptX8QcffwpCAM+/bX1qK9WdUYLlbqQb8UYJzg7rZ6BO4Fyc0OpttpOFFlOgEwX4mb//fPyzr/0SvONjT+L73v4RAEyz0DHH03o/dlqn0mLTtR1jwLGxOy7RkAB1Pb22U6VZSPX96HsyrJgs0ELf5iDBk9d2tYj6PGMuPHpxq9Kudb/RaLIA4DYp5fPnuieHFPuhWaiaLGRWoUVopFngCc4eYXInVEFkWSZLK8AAWaea+6fZdJMX2w1pr5OFuCBwlohdhTfTCdCKmD1Z0Na0dZoFWrmTUotDQ+Y+lGQSvbjGDSm/GG8NU10wl/Y5CDBOUx3KBqiij+sFfM0CZUGMU4mu50zQhMbCE5xnAXt73UitFtmahUmcfm5UZA0+PwIv7OxaNE3Lk4W2SZs/hkmGbhTg5XefwoPnN/GSO05gvR9X2jpWYXuUTxYEfYb++7o0C1m+yJFkEqPUX9joycLY1iz4V19btKiCEAI/+Np7sDNK8cvv/Syu744xGKcIRPF4Wu/HzqkAmW4kmcTmUGkVNgYJ1vrli9+xpRjXKiYLO6MEvThAv2MYC1U0pCAQWO6EarJwbRcvuP0Ynnx6VzsiJWmG1//8/fiHr7gLP/r6+yZ4VxaHpt/YPxZCfO1c9+SQYj80C5R+6Upw1uJdi4/fyA1JiKLA2aNZANQKEV1DCm5IouyGNM11oeSGNCWdSW8vVJavWW5l6poscE0BpyFxjuQ4NYV3lWaB5ywkuTg0YrazSSorY995iNz2MCnpFQjUlKz3VSgbgNLqhI+aRsdIFZ2kiWaB6tBptCnO7Tn2d60XlTQLKXsvW7gxrcDZqVnIm8uotU5dGBSlMMDL7z4JAPiG592ST0Cna5B3hjRZUL9XuiExCighzaQWmZLRhQt0TilZpyapWmhpm4UWU+LLnnEcgFqJ3xml6MdhYcF2vR879Qacxnpte6xvc00WfNsgbA0TLHeiAmOhioYEKDrtxu4Y568P8IwTSzi10tWThc9d3cE4lbjnzME1GW36jf0QgHcIIXaFEBtCiE0hxMY8d+ywINuHULYmkwW7H2ics6A1Cx4aEkuPdmoWAkfOwh6sU2m0pxKlJ95MaXujNMM4k3pVnSMKTKIxFdyjNMNVJojSoWxh4AllMwJouj8JnKNAFELZ6qxTE837TUp6Bb3PodABa2ay4KEh2ZoF3ZD5L/pUJ1QVhgmzZp0F7JwFQHE+7aCdSfj4NyomC2XL9Pe7SrMQafF+O9GZN4bjFJ0wwKvvPY03f/Nz8YYX314wopgU9mShEQ2JPZeaiPoNNvj9AIfA2ZNw26JFUzwrL6g/e2kLu+MUfeva6Jss8OvH0zsjDJMUg3FW0iwAil5UpVnYGaVY6oboRKGuUWjS5ju+l7sRHru8jSSTOHusj5vXe7iwoQTOj1zYKry2g4im39qfBfAyAEtSyjUp5aqUcm2O+3VosB+hbHYhzeGbLHAKT1WCM53/ffkRXWZpKh00JCEwE4EzrbqPGcd/r5oFQF3gFC3IoVlg2Qb8Isd5hTTpUNapZc2CCWUzmgXa94hNLtKsOpQtCk3jsjVMtEDKdT/KTaCLuG2f6qKLAdBUrCpHpCbFpm/708Jsz9y20ou8Cc7tCrcfOouiocBZh3VZ9x+z70yrWVgcRmmGbhwiCgN851c+E/1cnLwXN6SlTtRM4KxpSOb8kEk2WajMWTATWn4sEa2qRYtpcfuJJXTCAJ+9uIXBKEW/UzyemjYL9Ptaz0FD6seVmgU9WWDGKVWaBUClOD90QSWxnz3Wx5nVHi7ktcVnL6lm4e4j0Cw8AuDTci+xrEcU+zFZ6FY0C65CC2iqWeCiUY8bEluhd61YK83C3gXOvCkB9u46xXMbyJ3IRsytU1nBzXULZrIgCmnWNnTOglSpjlEYFJoLEj37EIcCI22dWqVZENoX2ktD8upYiIZUIV5mzY3/PmZfZgHX/q50HTQkWb9vNzo0DamBc9FgrFbLAOOCReCCfOOG1F4O5o1RkpVoDa6JZlPs5G5IdM2qymswttXmtjST2na1KmeBvpNSAoOkaDPZThZa7AUULvroxXyyYGUv+JsFc9vTOyMtgl51CpzVNnxGAmQU0A0DbTFM3wdfM7zSM9Pxs8f7uHm9q5uFRy5s4tb1nndR8CCg6Z59EcB7hRB/DEAbw7bWqf7wsnmiioZEF/BqzUIzGpKrNueBcPQ9KkwtXKFsMxA4Z5nc00WGN1iKhlTeVsg0CINRim6kgty4I5Kh3KjcBLtQddGQkixTicxhUODZVxXXp1d7uLo9xMWNAbaHCZ550m1HGoUCx2iykNOQ7MmCLr4dIXRAQzekiuKEJzjPAi5B9mqvLOqkOqe1TvVjkunL7jjVdDd7XSjJpD5+eOBgi/khyXVh9nkvCsTUbkjbOaWRvltV29nLZIE3kjujFEv5cTVM0jaQrcWe8awzK/j0U9dxx8llZ7OwOUhKbITNQaKv6U9vj7Xg2SVwXu/HyCSwNSqHtgFqAW+1F0FK1TgAvFlwH9+8Ebj1WB83rfbw9I4SaT96aQvPuulgG4w2rb4eA/BnADporVMLkHt06ZkGQSAKicQcVOzbdShvHqpyFrh1qqupKAqcy1MMW+AsJZxNRx1KAucpJxSEm9dVSuITV3e0O5GNOCjSkG473kcYiMJkgS6CcSDcmgW9yu6gIQWiINiuej3f9MJbkUng9z/2ZCUN6fbjS7j3JjW67HmSvb2ahbD4HrswCQ1pVpoFKlT5xG61G5VzFlrr1FpMYp26O061kN5+T4uThTbBeRHw0Rr2PFnocjekCTULqTRT34pjii9AcJHzKG0nCy32jrvPrOALV3dwbXestXoEcgK0rxebwzHOHu/ngWtmsuATOAPAdY/IeTu/JnMaUp0tMJ1b1/sxVroRblpTNcmFjQEevbiFZ50+uBQkoGayIIR4IYBPSCl/ckH7c+iwV3rMtOgwK1CONA/7sqlRTdyQ+GTB97r0Cv04c64oi9w6Veb0rGm1Bh2bhuSxcm2Ke/Ku/dFLW5oWZIPrBHZz/vZNq11rsmAKY57LQKgSOI/DjK30VmsW7j69gpfccRy/99dfwPYw0StzNn7nH75U/7/vmyx43ZDq6STUR1QLnGn73rtMBFdj2GoWpkM2AVVrMM5waqWTP87cLqXMBfltgvMi4aM1TKtZkFLqyQJdAioFzo5QNvpudsLq9PcklYo6OEwK+q/huNUstNg7nnVmBZkEHjq/gZfddbLwN57iTFN3QE0W1vsx1vsxru6MsJE3Ez6BM6BSnG8/UX5+mpZlctzYDWk1bxZuPaYyFm7KFzA/9vlrGIwz3HPTwW4W6r61vwbgshDi3UKInxBCfK0QohU2M2Qeus680Y0Cp891mrktLHnx5dUsCHMR8r0up3WqlbMAGIrItPkIVGwPZzRZuHW9h+VOiEcubGlakI0oFBgz69ReHOLm9R7Obxj6ixaQh4HSLNihbLStwLjK6ARnyzrVN+Eh/P0X345zl7exPUqx4tEsBIHQwmISONtuSN4E56h+siAbFJu+7U8L1zFMmgVOj5mEj38Q8B8+8Bj+84c/v9DnpO/zuEFxOWA0pIL9cf7fkmah1YrMFb6VyigIKrUGPgwTdc5e6vIE54rn9+QshIFAJwpqE5xJOEo0DcBYwbZosRfQKvxgnHknC7ZuYWOQYLUX48RSB0/vjJnA2a1ZAIBru26R8/YowUruhlRqFio0C4ASNwPATWtdAMBfPHpZvaYDLG4GapoFKeWLAdwO4KcAjAD8EIBHhBCfEEL88gL278BjPycLw7F/smAjKkwWPDSkUoKzg4bEtASZpouwbeT/1xOKKScL3ZC8vI3Ibi/vsxACd59ZwaMXt7x6gZhZp+7mFoO3rPeLk4X871Eg8lwGO5SNmglzMSabVJ7KnGTS6cjE8Q3PuwXL+YnQl7PAQdxN29tcW5GW3JDqrVN1sdngPrOiIWVSlgT6K70ISSYLjdBhmyy842NP4p2ffGqhzzmJvezuiAmcC3aZRWvcdrKwGPhWKgMhkE6h06EV/uVOZGhIDaxTi8eCOpcpA4Yq61RjSblrTRZaGlKLveKu08u67ujZmoUld7OwORhjtRepwDVOQ3KFsuXHri9rYXuYYKlr5Sw0pCGdPaYmCjfnNKQPULNwwGlItd9aKeWOlPK9AH4ewM8B+CUAywC+br67djiwH6FsAApcOY40cxdtjScLush3C7d5IJwrLZpWuXWRMuVEgE8w1P5MF+7G8ay8WRh7QtnCPCMiy2Tu35xPFlgwm5ksCCcdgH4lPUCSZfkko+iG1ISetdyN8I3Pv1X/vw500hwkdrOg3sOSjoXCtRpoFqoKQx/NaVq4RPHc+pZAu3RYitZRki1cjK0TnJvkLCTuyQJPLQf4ZOFwvO+HFRS6WZoshNNpFrZzGt9SJzTn6Yrt0FSXPxdp2eIGNCRasS3QkFqBc4sZoBeHuO24WqFfajhZ2BwkWOtFOL7UwdXtMTYGY0SBKAmkAdNwuFKc6Ty+3AnzOkzq24Fq61RAOSHRfnaiAF+8PsCplQ6OL3ecjzsoqCy/hBDfIYT4RSHEXwD4QwBfA+BTAF4hpbxrETt40LEf1qmAoiFNMlngxVfVZKEuZ4FPFoyYuoKGNKXWgGhCenVrjzQkALjnzCrObwxwbWfspCHRbUkmsTtK0Y8j3LzWw84oNVHxzG0qqghli1jTRJMMfpGv0ywQ/qevuB0AcGqlW3tfGu8P7MlC/t7Zx6kWOFcUDE1C2XTTOMNmwc5scLm3TJJOfBAwzjM+FgktcG5AGaJpmhDF95mnlgNMvN+6UM0VQ4+7CteWTQLSMvU7kwmcC5qFvJGPwwCjigTncZrpFdudMW8W2slCi9mAVuJdbkhAeSqgJgsxji938slCgtVe5KzfjMC5TEMiWt1yN1J08LypH9ZoFoiGRJoFIYSeLhx0ChJQb536qwAeBPArAO6XUj48/106XNiPUDagYrLgKaqDQORORWVbVUIYmALMR6/igXDaOrWgWUD+eENnmqaIjMIAgTB8+r0KnIFi8uPN66eczwmowkpNFgLtonT++gDr/bhAyXBqFmRxW0RDUpOFAEmmTixNNAuAirb/4//9qxvFwAsh0IsDDCwusU/Hoq1TK/3S6zULerIwo6bZdcy4gsCMDe3h4M6PU7nwKUjasKHKMqkCs+JQuaKxu/PUcqCdLCwKXoGzmE7gPNYUysBoFipzFtS5ym4WgkCgG9VMFjIzWdjlmoU2lK3FjPCsMyt4z0OXvM0CnyyM0wyDcYbVbgQppcpZGIyd4mZANehLndBJQyKjDTuUrU7gTAt+d5xc1rfdtNbF56/uHIlmYR3ACwC8HMBPCCHuhcpc+CCAD0op/3zO+3fgkUns02Qh9Lgh+YvzKFAHtjdngV2EpIM3rp6XNQtZmYJFBT2niExbRHLHp9lMFtQXkop3G1SQjlOaLIS4hZqFjQHuvXm1EMoWVWgWjBuSWk02ic9ZyV2mDs++pbmnQD8OS6FsLg2Aer2mOfJhEs3CrBKcXceMTW8DGMXmkBSt43Q/aUjVDRWtivXjsEBHBByahTZnYSHw0RqI/ignnGrT1zxkpgjNchZ8kwX3MSWlaoqpECvSkNrJQovZgArsnkVD6sWKHrTBmgUSM6/2IgSBwGCc4cLGwCluJhzrx04aEh3PS92wpFmIQ+G9Dn7V3afwX//xy/Dcs+v6NrJPvefMwU8iqBM4p1LKj0opf1FK+R0Avh7AHwP4HgDvXsQOHnTsm2YhDPTKD0dVcU4FozdngQmcfS5GPFnZtQJMD9GThaycJt0UcRgU7Pv2unJ9+4klfaFy05CMO5CaLERssqAckRJGyXBbp6qfJmcBuVWrai7STJbcZWaJXhw6BM7u964TmebIB+OG1EDgPMPJQomG5KBNNNFTHCSMkmzhDkJNqVqaohIHJRqSX7NwOCY6hxW+nAVDcZxse/R9iQIxkcCZf86pVOF8cSS8kwU6nxg3pGKz0GoWWswC1CwsuTQHVoozZS6s9mKcyLUBX7i66xQ3E9Y8SdB6spDnLGRSLca40tY5gkDgy59Z9GE1zcLBnyzUaRaeL4T4fiHE24UQjwL4awCvBPALAF5a9dgbBT5u/7zhy1kgtwoXqICtnCw0pCGRZsG+j54ssKZj2olAl73GzMFjnxRhIHDXKTUCdOcsqO2TELAfhziz2oMQ0I5IVHRpwbJHs6AnCzJPcA4UDWmcZqWV2lmiF4cOGpL7vYsC0xz50ITGMms3pKrJQsHG8ZBZp47SrJHQeFaQ0jSmdc9L06heHOZCfzZZKGkW2snCJHjq2i5e/dPvwReu7kz0OB8NKZiyWdNGB4FgOQsVz68poOa2jE8WPN872q+lboRAWKFsSdrSkFrMBPfdvIZ7b1rFc25dL/3tWKlZMJOF47l4+anru9WThaXYGcq2MzSuYtyIZTTF1Oz2430EwuRAHWTU0ZB+E8BfQk0TfkxK+bm579Ehw35Zp1JseWl/KpoF+2Lv+nuBhuRyQ6KU4CTL9Rp2s5Dvxx4FzgAKI75U7n2yAKgv5YPnNxFX2MvSiaUfB+hEAU6tdHWKs61ZkLJI/bI1C1mWJzizyYJOgW6gWZgUvsmC6zM3bkhVjQDy+1TkLMzcDam8rVDT2zgNKd+3Q1K0jtOskGw7b/BF47rC3ha/8o9bTxbC1g1pGjx8YROPX9nBo5e2cPuJpcaP8+csTNesaQtlYSYLTWhIvCmhxSgeyrY1TPDv/uwRvOlrvgS9ONSThSgQWOpEjslC2yy02DuWuxH++w+/0vk3e7KwwSYLVEZI6c5YIBzrd3Du8lbp9m0tcA4Lhi/TNAtveMnteN5tx3B6td7AZL9R2SxIKb9sUTtyWLFfoWxVkwVfM2DTCGwEbEXR64bEJwuOxkS71uxR4Ayo0DBDQ5oNJ54cFFxULFpppxMLpSbftNbF+Y28WaBCPwhMsZ1lCAPVRNluSEkmMU4l4kBZrY5TyRKPZ3/R7MVleppvutPRbkhNQtnqG4p55ixEYblAPWw0pHEqFzpZ4BSTqukRYCYL3Sh3QypoForHq9a6tG5IjUC0heG4TButgk8wGU7dLJC2qNk29FRXmskuD2WjCeyHPnsFv3r/ObzuvjN46V0n9cJCHAbod0LsjtX9pJRtKFuLhWC9H+trNlCcLHC9YhUNSeUxlCcL25bAGcibhXTyZmGpE+HLn3l8osfsF+poSH8ohPhGIUSp/RJC3CWE+FdCiO+d3+4dfLhW1xeBbhS6JwsOvjfBtj4s/Z0JnH0TAeLqD5MUaVZulIS1ArwXrQFflVJNx1SbKYAi1atoSHRiIeHUajfWJwg9WQiFc4WPaqyYTRaSPNchDgKkmXHEmYdmoe+YLPicpOg9qHRDakRDohyHOdKQHCuhLvF1kma1hfF+gD73RQqcbWFqFQZ8smDTkDITRAjwQvPgvc8HEVv5+cR1vq6CL2dh2mbBLGQETsOAwn0zmRtBFLUNNOFVOQvqNmqGaGGHZ9EsdUJ9Dh+nElL6fehbtJgVypoFk9Z8fNmUs6sVk4X1JSVwltZ3ZJsLnJnhyzBJKzULhx11r+z7oDQKDwoh/loI8S4hxJ8LIc4BeCuAj0gpf2Pue3mAke1jKJvr4uNLJwbMRaZ6smC4zr7aj6Ya0rFi7cxZmPINWu1G+kI7C4EzYIRELhoSFfjkokCWbMvdENs5TzFhhb6LjuHWLKjPJMxzFnQK9JxoSOVQNvdkwbVab4M3j3X3mRkNySVwtqwe+QmcF63/4h2fwj/5jx+dyX7MEuO0TOmYN/g1ripLAwB2R8YNKbCsOX2ahZaG1AxUTNsuZXUwmoWigHPa999MiNyGAYXnzo9XCno05wF1nYhDI3Am8Sj9Tj/jIEA/Ns0CNT+twLnFvGGLk43AOcKxvgk/IxG+C8f6HYwSZbnKsZN/n1fynAWAaxaO7rFdR0M6D+BHAPyIEOIOALcA2AXwsJRyMrXWEcV+hrKNHG5IVYLrWs0Csz2VUjpX3wGT8eB6LmfOwpTvz0ovwqXNodrODATOAPDMk8uIQ6GTqDlszQIlQy51Is3pThgfV08W2Gox/c/kLOTNQigQByJPdF7sZME3JdI0pEo3JOT3qZo+qJ8zc0OqmCy4mhdeND15bdc5Ot5v6GZhn2hIdVMAI3AO9KKBeWyxAW6tUyeDpiFNPFlwaxaa2J66QPcPhCg1377nXuqE2BwkhbyVMCg61VFgpdY40DkynyzQ+agu4bZFi1lhvR/r4zYMhL6mr+Q0pJVuhK1h4s1ZABQNCQCu7Y7Q7/T17dvDBEIAvaioWTjqtsCNX5mU8nEp5QellB9vGwUDWbECP0/4BM5UmLqgaQSev1NvQPaevqaD0qNd93EVddOuONMXGvBbuU6KThTgV77zy/G/fOUzS3/Tk4V8FaJXmCwQDcmssoYOzn9Js5AHcakgpAApC+aah2ahGwellZBUuo8JkyvRJJTNX5joBOcZTUpcx4xN+SoWwoybnyxOF/Chc1e08L0O1JAtkiLlcjTywVinhiq80dGMlTQLbbPQCDQdnXiykLrdkKadLPAJoIvWx0FTANJtJew8EAVBQTO3adGsNG0tDLDcjXTirUmkProFVYuDAQpmI5bA5mCMfhzqazxRkepyFoByEvT2KMVSHCLItTuAETgf5WP76L6yBWG/NAu0um/z6arch+omC5zHWiXc1pOFzBHKZrkCZXJ6YfJKL9IXor00HTZe9+ybnK4ktP2tgbFOBYraiSTNEAUCQghNZXJpFqg4H6XqcRGN7hcwWbCLEh+FS9Oo9mqdOocEZ/sYtnnafKGcT0ZGC3QceuNvfwRvvf+zhdsubgycjdXY4nMvAq6C34ddbp0qipoFX85CO1loBnJPGY4nnCyMfQJnM7WcBPQ9LUwWPLtEjQCdA+lYogWiohvSuPAYfn7jNKR2stBiUbBTnDcHCVYZ5ej4kqIiVU0WXEnQALAzSrDcVdui5mOUZkdevH90X9mCsF+ahW6kbLrPpiQAACAASURBVDvtIsBnkwk0y1mgbfhEsYCxNHU5Hdk0JFWoNntNNla7kb4QLaIpswXOhoYUYnuU6GRSW/vBV231KrsQCIS54EdhoK1p565ZcCY4l59L0EW/ouiQulmonz7MalCiGszibbYg00exGS8wy2AwTnF5a6R/3xiM8cqffg/e+YmnSvflabh2gz8v+KhaLgxZsxAENQnOjuO+hR90PrG1RHXwJcLyCfAk4Ba4tEkfDWnEaEiAOX4SRkOiJp1e38ii2inrVK5ZcGswWrSYNeqahWO6WfAz8deX3JOFrWGqmwV7snAjC5xb1GA/Q9mAMg+2SlAc6Iu9xw2J8VjVCpL7uZUTU6rEbj7XmhkInFe6EQZj5W6TzsgNqQo2DanPNAtSAoNxljuE5HQMB3eb/ivy1Tv6fOLcPWmcyoIP+azRiwMMkswSAPt1I1Eoqt2QqEiozGKY7WTBtb+mkVW/u6w9aT8XFdKWSYmr20P9+4XrAwzGGZ68tlu6Lw+wWtR0gT9N3XvCcxYCISoTnINAQIjWDakpjHXqZO+Xr/gIp6SB8e+pyBczfDQkOl7pHMgnemEQqGbBoiHR71rgHAbos6msL2SuRYtZgwp9ahY2BuOC89GJpQY0pLyhuL47Kty+M0x0E11qFo7wsd3olQkhvkoI8W4hxMNCiHNCiMdyR6QbHso1aB+aBSas+fBjV/Han3kvNgbjmslCfrH37C7nsVblI5ATk3T44dNbMSuBM6AERbNyQ6pCKZStYzQLgKITJGnGJgt00TZFgASN+tX7SdzfMBDGqjTNCo+fJfpxWLLorGrYXCnUBJ4AvEg3JNckJLBWUzOrQSCohOzFFONJJnF126w6XdlWFxXSt3BwrcKiVuRdVCIfSOfSi4LcOtX8LXF8vlXHTYsi6HiYeLLgKT6mDWWj4yHQ5y8xwWSBhWMG+TXAckPyWafuas2C2wq2RYtZ41jDycJqpRuSb7JgaEhUhw2nzFk4TKhLcCb8OoAfBvARAJOd8Y44fEnH8wa5+QyTFB9+7ArOXd7Gp5+47g3gAkxGgq+54VzkqiaIxG2uVGVbOLdXgTMAbOyqi80s3JCqQBMDuvhxzQKgYt6597hLaMgnCxGbLBANCTBCx/lMFtQ+D5JUn7iqGshOFHhFt02tN4mKN6um2dUYRhZP20exGS2oWZBSecY/vW1Wna5WNQsJa2iyDH3Mn4rBm4U6YfXuOFXTrzBQUwOHOJpPJHna+2HFg+c3cMfJZf2dmRe0AHhSzUKSOik7tolEU9gTQHuCxGGaBXXuyzIYGqYQCEN1TEkpDQ3JmixEQaBoSONUBbK1k4UWC0KZhjTG2WPG0eg5t6zh7LE+ljv+EnipEyIOBa6VNAspTq2oZqNkndrSkHBdSvnHUsqLUsor9G+ue3ZIUOUaNE/wycKT15Qjy2fOb1YW5zwbwAUqxlMpK5sgcmKqckOia1BVSFwdqOunL/y8Jwv03mwOklyQrN7j5Xx1bWecIEllJXebv29BIHSBEOcCZwAY6AZijs0Cs09NK0TmUeBvFppab85SfE7b8/K0G2gWFuE4RIXX1e2RpnzpycKovJ4y2ofJwiShbLujVB87oRDOHIviZCE41JOFNJP45l/6AP7Nuz4z9+fSOQsTWqfOerJgTwCrGj4q7OmYSLJMn9OD/Nwopdqm3SzolPtQoN8JISWFVrUC5xaLwVrNZOENL7kdH/jR11bWJkIIrPc7DjekpKRZGLc0JI33CCF+WgjxMiHEl9G/ue7ZIcG+CZxj0yw8lXOkHzq/UUnXocmCDzpnIat2VermkwVX9gEVdbNIcF7pFr/w858sqO1vDBJNQQKApS7RodI8YK1Ks2ByN5RmwdCQiHZEYtJZFtgE3SywVcysQmQehcJbvLqCuXz3m2XD7KKu2RMr3rvwonWcLsY6lZ5zlGa6ObiypfQL9TQk8/9/+nufwO898IW57KPPMcqFYcKaBauIpNcas4OoqtDMMokvXD3Y7trjVIUt/dePPKGL+XlhW2sWJhc4u4oPsiieNOCv1CwIPw2JKEZLTLPAtSsxFUmp1JPYoaYhmWnqUn5M7YzSNpStxcLQi0N0o4BZpyaVlCMfji3FJc3C5iDRE4mOPVlomwW8FMCLAfwbAD+b//uZee3UYUKW7U8oG+fKUbPwYM1kIayZLPDV2yrhthE4lxsloScLM6Ah2ZOFOTcL1ASQJzOBLpg7owRJlukmwalZYMJwTkOKw6A8WZiTZgEwglWg+jOockPidUSdZmHWkwV7eyXrVE+GwDjJFpKSzJ+fqEhEQ3IVn7xZ4O/3nz14Ab/1l4/PdR87UdBoskDHjhCiYKnp0qQozYL7ff6TvzmP1/zMe3XzdBBBn8f2KMU7Pvbk3J5HSrm3yYJL4GydY5tCWxwzobo3Z2FcdkPimgdz/Un16yOq3bjghpRTOEdJO1losVCs5ynO4zTD7jgtCJyb4sRSp+B4NxinuLQ5xNnjitJUCGU74pqFRq9MSvkax7/XznvnDgP2K5SNuyFRs/DwhU2MmADXBhfZusBXb2UFdaU6wVn9XshZmHqysFgaEjUBwyQrThby/5vJgp+GxLUeSuBsKEclzcJcaEhB4TmA6pX/Kjekon1mRbOwBxG7e3vlY0/ztFkTqu9vaRbG6fztSflzUpPQXODMGockw988tYGLm83C3Sbax/w96IZBbQM1GGe6WQgDFN6/STUL5y5tIcnk3Ffs9wL+nf3tDz4+t+NlmGS6eJ50sjBMMj1B5pjWupYnOAM1AmeHG5IWugszWbi+O9b0JMqUMTSkQD9+d5S2oWwtFor1fozLW0OdmzTNZOEZJ5fwuSvb+vfP5xPTZ55UOU2lULYbXbMghFgXQrxFCPFA/u9nhRDr8965wwCJ/dEs0Cj30uYA26MU9928isE4wxNXdyudb6onC1zg7KdX8ZyFcrOgfhYnC5O8MgNbs7AogTOAwmRhma2OqVA2SrIt05C4ZoHTkKJAILZoSPMKZQOsyYInwVntg7+QLFJR/MWmi462F7hoUzblq2idWtQsqL/PbHeccDULV7eoWXBoFrjAOS3///6HL898HyWbLDQJZaNGM7DoKXqywD6UKPDT1y5uqonCQdY0UHDf829bx8MXtvDhx67O5Xl44zjpZGHotU6djWYhEPWhbEQj4jSkMBDo5MfCFSbwN6FsZoHETGXTVuDcYqF46V0n8L6HL+EzX9wAgKkmC3eeWsaFjaH+Hj9+WTUOd5xcBmCaBQpevOEnCwB+A8AmgDfk/zYA/Id57dRhwn5pFuigPJcfvK+57wwAtSLkK0LDIKjWLJRyFjw0pNgInMuhbMULWboHgXN5sjDVZhqDvzdFzQJZpyrqFRWukeYOW5oFsMnC2FCO6L2iFbZ50Kq6WrPQbLIQR4GXz14QuVZpFqTfbWkaOGlI9nHl4NSTixdQ7/4zi30kXLVoSHTh4ChMFvJiSkqpV3Df+9DFOeyj+tmJgsrPD6BmQR07gXBbp/LPOAz9k4WLG6pZ8FFcDgKo0fmWF53FWi/Cb3/oc3N5Hj5dmViz4OFA8/P0JLAtcCdxQ0oyaQInmfnD1a1ys0Dnkzgwk4WdwmSh1Sy0mD9+8DX3IBACb/4jZWIwzWThrlOqKXgsr7M+d0VNFnSzkH8PaHrRNgvA3VLKH5dSnsv//SSAu+a5Y4cF+xXKRqsz1Om+6ktOmxVtH+Wkzg2J0ZDSTHrpVTRZcGsW1E/thrQHgfNSJ4QQi9csAJ7JwjDBODWFca1mISzSkKi5MNap89MsFATOFXa6cQX3nBeDVdapaTbbqY9zYhUUedouzUKxIJ8zDYlrFnaIhtRU4Kwey/fx/Y9cnnmYHH1+nSjQK+k+DMepLuzCwA5lm8wN6UJOqTrIkwX6DFZ6Mb7uuTfjLx6d/WQHMLaplE0zCUZJ5lyF18nxE76/9J0puCF5cxZMSB89lmseqCi6usOaBZ3gzCcL6ty5O07MZMFBrWrRYta4eb2H7375HfhbPVmYvFm4w2oWHruyjeNLsQ59E0Lpd2hRoLVOBXaFEK+gX4QQXwWgHFN6A4Jz1BcJuojQQXz36RV9YHs1C2GNG5Jlneor8ilnwWWLStugVemq3Ic6CCGw0o20o8G8aUicqrPEJgt95ujBV719mgXNCRachhTo5oAK+UVqFqoTnD1uSPlnqNJ6q5qFbLaahQaTBb47dJtPFzAP8PfjyvYIWSbxdG6x56YhlRsZ2t/nnl3D9d0xPvHEtZnuoxY4hw0EzuMUvYgmC1aj6Egcr9Is0GThIOcwUPMUhwLr/bjw+cwS1DieXulOoVlw5yzozJEJNQv0lWiUs0CaBbJOTQ0NKRBsslCgIeXHNU2iLBqSDmU7wgVVi4OF73/V3ZqhUJXW7ANNEMxkYRvPzG8jdKIAm9QsHOGpWdNv7T8G8EtCiMeFEJ8D8IsAvn9+u3V4sF+hbB3dLOygEwU4tdLBfTevAvA3C9/yorP43lfc6d0mpxBV0pCiEEkmMU7LRSLPWaDgqr1MXla70cIFzgAKQU1BoC56xg2pzjrVPK56sjCPZsFDQ/JNFkL/qjMtOnbCoLL4TrPZTn1c1DV7NZXbONL+u7QA8wL/zJ/eHuH6rkpPP7nc0TZ6HK5GhvbxtfeeQSCA9z10aab7yN2Q6kTfoyTTolVFQyprFrg5gs8NSUqJS7lmYVK3nkWCi7bj0J81slfQiuPJlc7kbkgedxWdZj7h+2vcjNTvkyQ429apVPCT49VSJyxNFuIgKCy07I5U8N+8F31atCCcWO7g+16pSDCnVroTP77fCXHrek8zOB6/vIM7cnEzoRMFLQ2JIKX8uJTyBQCeD+B5UsoXSSk/Md9dOxzYi9vPXkArTpe3hjh7rA8hBO67eQ2Av3B73bNvwne97A7vNulxWUZhau770RdiMM5Kr93QkIqCuGmx0osWJ3D20JAAdTHcHqVIUocbkiVwpklTFAh90Y3ZVGeemgWfdaqvMYnDoDZnoc56s+pYmQYu6po5NovNAt83ly5gXrA1CyT0vP2EupDYVKSRo5Gh/T292sWLnnEc73141s2C+knf16qFfq47sZsFp2bBI3C+vjs2ReNBniwwqoxqFubjoKWbheXOdJoFxyq8nWbeFKbYV49vEsrWZaFserLANAt03J9c6Wjqkm7E2GTh41+4ht/50OfwgtuOTbTPLVrsFT/wmmfhXT/01bh5vTfV4+88vYxzl7cxTFI8dX23PFngNKQbtVkQQnxn/vNNQog3AfhHAP4R+/2Gx34LnAHg1mPqS3BvzWShDnbOgo9eZZqFtFQkmsmCLPl6T4OVBU4WgkDoz5LTkNTvEXaGibJODeliW75oSxjNQiBEQZ9Qsk6dg2bBFcpWJTKPAuFPcM5fVzfyZzHQ/SZ9Lf/t40/ip//7g+7tOahrtqiTr5pTcVKg+ixwsnB1e6TpGM/ImwXbNtTVyNBtcRjg5XefxCefuD5TOoxuqEIK0KpytCpaahZpXi7NgnA2Axc2TLbCQRY4m/fe8O/nMY0yk4XuzBKcp9Us0P3N+ck//SHPeGoQC4s/wrxnlDFyYrlrBM6ZOa5Js/C7f/V5rPQi/OJ3tFmuLRaLMBB4zq1rUz/+zlPLOHdpC1+4ugMp1e8ccSR0MOFRdvqqe2X0rqw6/q3Mcb8OBYhms5+aBQC4dV0FhDy7ZrJQhzINqfq5d8epN2chy0yC7F4mLyu9eGECZ8BQLXqlZiGfLGRZabLAizAuzuVFF3cQGTBq0qzBPxu9TxWaBeWGVE9DqtQsTNgwX98d48f+4NP43b/6vPPvvHAllBKcOUXKKr6B+a9qU5ElhBJ5Eh2DmoWdUXEVeexoZEgrEoeB5tOOZkiH4Q0V0CRYT/3f1qhwf32Cb1Wa50Uc5MlCwlbZKSxxHlQkoiecXOmorIIJnmNYI3CetBnLckMKnjDvOyaGY+UZrxuTtLj4Q+/Z1e0RhACOL8W62aLjOwwEenEAIZSW6te+6yVTr+62aLFfuPPUCjYGCT76eaUpe6ZNQwpvDBpSpTxcSvnW/L9/KqX8AP9bLnK+oUHF1H6GsgHQaYK3He/jprUuTq9Ozs0D2EUonyxUCZwBFbRTtk6F3oa5uEy1OwCUZoG69kVwXaNAYIQyDWm5G+U5C4yG5NQssFA2tr8xu/DOM2eB0lV54VMlMo89K8T0OMBQfaRn2pSmk4nY33b/OWwMEoSBcG5TuTcVH2N7y3MaEk1q+OuYt8CZnuvEUgdPMxpSk8kC/X9UoMKo1zdKMmC6r28JVExSwVk1beHHiGpyi5qFQBSP58gT9Hbx0E0WjPFAXbPw5LVd9OMQJ5Y7jZ9na5hACHWcAGqhYKXhCdE3WXDRH89d2sJKL8KZVX8xbp8HAiupu/DcqQqE4+c4l3Xq5a0RVjoRurnpBcDckAIBIQTe+Mq78ZV3ncDzbmujmVocPpB9Ktlb31ESOIc6W+aGD2UD8AsNb7uhQKfq/dAsqBOx+v+tx1SzEAQC737Tq/C/fvV0rrbccSbL/DQkvnpt34dbXHL3jGmx0o3M6vwC3me6EJdpSKFJcA5NUQW4NAvFbQHFgnAwR80CbZcXy2laleAc+BOcs+LKdFVT0fQzvrQ5xG984DE9rdh18LhduRD2e12gIWVlGtKiBM6nV7u4tjvG5XyycNsJ9V2s0izYbkidMNAuGjOlIUn786sJ1mMuXrZmwaaZRd7JgmkWDvRkQacMmzTiuqnOG3/7Abz5j/52oufZGiZY6USaHthUt5BlKjG5iobEm7E3vPVD+Ll3P1K7TX7OoWbdBdJL6GuCzzp1e4TVXoROZATO41wjRdeGH339fXj1vWcave4WLQ4aiHb0/ocvY60X4dhS0VWpEwX6fH/DThaEEC8D8HIApy2NwhqAo+sR1RDaXWIfJgtCCHSjAINxhrN5swBMZw9GCNhFqMrFqMs0CzaThh4jpbFP3avAmbCIpp1WzEqThU6EixvDAj/fJTTkOQu8uVEZF0Vb03loFoDcDpUVp1WhacoNyV0wSAeNJXZ86+0ipAq/9J5HMUwyfO9X3YG3vf8xbOwmmtest1fhhsSTwYGcIuXMWZjvZIE2f3q1iwfPb+LcpW2s9iIc66sVZLtZcE0WTMEaMN787Pab08iA6uKdrzoLa8VZuWkV7x8GArvjahrSpG49i4RJGQ50GnFdg3lla4QnO5M5hm8NEqz0ImNp3LAZpMLbZZ3qWqRIskwvRviQWHTEOjekThQUJnp0vAbCuCHtjlM8o7eks3fovvOgWLZosR+47XgfUSCwOUzw/NvWSwuk3TAomUkcRdS9sg6UNiFCUa+wAeBb57trBx+Gt7w/J0Y6Yd/KmoW9gItIq3joXBBY5parnzNzQ+qaQnIR7zNd5PpWAas0CwnGLCGbXpdPs8ALrCg0YkFNQ5rTBdVe9a0KTYtD4aXsUCER1xSbTbM0hkmK3/2rz+NbXnQWL7hduaJs5BSzwvZcbkh66qV+5xQbl3XqvFe1qdgkO75HLm7h5HJHH6+VAmcSZBMVJjK8+UmDu6rQdDJE9zVam2J6d5LKglMYUDFZYDSkSXMAFgmeHaGP75pGbXec6glSU2wNE6x0I130N50s0HFQmeCcFY+pusUH20JZ0ZCqmwXaZpJKfb2LAjONAZBPFkzo3DjNSsdLixaHFVEY4Bm5TsF2QgKK39Gj3CzUaRbeB+B9QojflFJ+bkH7dGhA19P9oCEBua3dIMEtMxKNFQXOfgcdvtpl34dvI51BM8VTFxdDQ3JPFpa6IXZGKbqR4fFGbNWNwK10+cU7DkzOgrZOndPrsfnkLg2Avm8QeFdUuRsS4C+mXCFqLmwPU4zSDF966xpW8wnYpq9ZsI+rwLwW9VP97rVOnXOhSvtB+qDPXtrCc29dw3JXHTdVk4WyG5LQ7/E8aUhVxTu317WLyDTLEFqNbRi4LXcvbg6w2ouwOUgO9mSBTXWoWaib6ijR+qjyPja2hgmWu2yyMG72+eoAswrNQjE4r36yYCe529oUDsp4CJlmgS/+8Oda6UXohKIwMWsnCy2OEu46tYxzl7ZxpyVuBqxm4QhrFprmX+8IIX4awJcC0JWplPK1c9mrQ4L9pCEB6sA8tdItBIjtBUWBs78J4l8O+7WbnAVD1dhLUcwnC4txQ6LJQvFLv9yJsD1MEIhY04novkmhWTD/D6wLc8RoSLZgdJaILQ/8qgTnOPJbp2oaS0Re6/6moslnTAVQNw6xljeBG7tJ6X6uY4+2T6+LF8Jas7DQBGf183Q+WRglGU4sd7GcH6/blhvSMOeAj9KslLPQmRsNiZo99fn5wveAYoMWBGXNQjn3wu2udHFziFvX+3hosHmgBc6GhmQmCyNPkjmgXusoUWF7qjBvVhRsDROs9thkIWk2WdA5B47nofNGYjULdQW6/T0N6yYLtmaB5Szwomi1F6PDBc4suLJFi6MA0i04JwvhjTFZaPrK/iOABwHcCeAnATwO4K/ntE+HBnSe3bfJQhTg7LHZWdFxqkdVMjX/cvj88OWM3JC4ZmFRbkgA0I9tGlKEYZJhmKTMOtVhSSlZQirbXU5DGoznezENw6LDUWWCcxBUNgEANKfbV1hUbZ+DiolOGGCtryYLXhqSzw2JJguZKYSlVI/hQu2qXIhZgIpN7jx2crmjJk+BcEwWJPosDVfdxnnzucB5hs0CbaqJdSqfJCqBc/Fvru+5vSotpcTFjSFuyc9JB1ngTA1bHAToRGU6oQ2eiE7ZAk2wNchpSBNOFkwoWv1kIcvU4k4dDcn+HIPALOi4np9rFpLMnbMAGBqSFjinEvF+raC1aDEH3HlKJQXYtqnAjUNDavrKTkopfx3AWEr5Pinl9wL4yjnu16EA91rfD9x2YgnPPTs7Ozq61picBQ8NKeaTBTcNSU0WZuOGRFgEDUkLnDu2dar6fWuY6BU8uh4mHs1CyGlIoaEhDVjDMQ/EgWWdmvkFzlEoCraIHKm1Mu0r/qpsdjmGrAAiIf7GrqNZcFDghFCBeaUEZ62nyIqahTlPFqjIIs0CAJxY6UAIkTtnWc1CkmmHLW2dqnMWLOvUCfGbH3gM73+knP48SSgbX3UOhJWzkJaPHyHK4titYYLdcappkT6Ky0GAneDMb3OB52Zc3mreLGznNKSJJwts6mTDbpxNCFqNwDkt05B8VDEVyhaaxiTNrJwFq1kIQ01VStJ2stDiaOHrn3czfuh192itHQdvELrh0fX9aUpDoiv6F4UQ3wDgKQC3zWeXDg/kDELH9oJf/+4XY5bPzGlI5K3uAr+AzVvgvFqYLEy9mcbQNCRbs5ALnqU0K3tCiFKSLW+y+PWS05CG43rKwF5ghy1VJTjrQinL0A2Kr9l2Q6rSLHSjBs3C2Di80Oe6MXDQkDy0Jl7clPj4mSzoNOZunZo/f78TYKUbYWuY4GTuv69+t0LZ0kw3oHS80P5yGtI0zcKv3n8OL73rJL76ntOF211uVi5Ioh16aEiuyVEgBOw6k9Kbb8lDIuetG9kL6FjmmoWqqQ6fLFzZbi5y3swFzhNrFsYVAmeaAFshaHUFum1xXCVwHo5TdFa6RrPAaaWBKDSPq91IL4yMkkxZp7aahRZHCMeWOnjT13yJ8283ymShabPwZiHEOoB/CpWvsAbgh+e2V4cE+z1ZaMqbbQrNC2fcVBf4F8JuBIRgDccsrFO7xgp2kQJnO2eBJgtA8aJMK/OETErdwPHXHQdBYbJwLJ7e4rYOUVgULVcmOJPuIpXoWmcDqp1ihzajcD/Z7DPWmoUoQC8O0YkCNw3J464UCKEnC6VGJueUm32fc7OQUVZGgOPLsWoWVlSzsNyNHDkLZrKQaLqGKVh1szDFRCTJpHNV3EyGjHuZC/RWmcmCKEyaXNa7oShPDsg2lVJ6D7LAWdOQCpMF//7yycKVhpMFKSW2p9UspBXNgqVZ4GLtKrhyFqoEzt2YaRayTDe3YaDO86TBWe3FhaDBpHVDanED4UbRLDRqFqSU/2/+3+sAXjO/3TlcoNPsfk0WZg0tnMtP/P6cBVM423cJWLMwExpSb7ECZyqMbdE4nzQUwtYszr+EeU8CRusI2GqclPWrgHtBHIqCrWKVtWlVeq1xQypy7W00zVnQNKT8hLrWi0sCZyn9GR98imPz8ZNUWtapixE4h0LgxFIHX7i6ixPLipK03I2wPSq7IS3lOhgtcCYaUhSgk04/WcikdK7i297fVZoTwEzCbM1C4nKnEuVC81IeyHZrPlmYd8O2FxRzFvLvQMV7z8MDm9qn7o5TZBIFN6ThpJoFR86CEKJQ6DelIaWyeO6qEzh3w6JmIdOLP+q1kE5htWea41GStW5ILW4o0PUsDMRCapT9Ql0o249IKf9vIcQvwNTGGlLKH5rbnh0C7Lcb0qxhO87U5SzwxxA0DSnDjCYLixU4076WNQtmP7iQ0Kb8SDbqt4XQhYnEHF9LyIrquoC9uGLV2V6993G6k6xZgrMRbar3dq0XlaxTq6hrAXuvNQ2poFlYZIJz3lAHwPGcfsRpSE6Bcxzmn41ZhQWUe9VeaEg2BYtAzbp+jzyfn10EBhaXPU3LzYIQoiSOpYwFEjgf5GahkLPQQOC8yycLDQXOWznFbmUazUJFzgKgzrv2ZKE+ZyEr5ix4sjLo+TtRwDQLstAgA6Y5WelGhcmCoiEd3RXWFi046Dt6lG1TgfrJwmfynw/Me0cOI/Y7lG3W0CFjeRXge11ddgHzC5yZ1d5hFDiXNAuchsQnC0Xr0SxjEwVqFqxcBmC+UxIucKaiz5vgrFcO/TQWek+qJwv1+6W94/M7r/bjkmahqsHkq6k8lI32rZizsJjJQhQEOJE3CfRzqRPqVXbCOM2w1ovUdMSyTo3DwIhVp9hv9dodAvWs2Oz5aGSJNVngQnKAJlPFDzgMyjSkCxsD9OIA67nT1UFupWaTcgAAIABJREFUFlw5C1UUsN2xOU6vNJwsbOYN42pvDzkLni8WX6TgYu0quKxTa3MWmJjaWKeq+9D7ttqL9SRNTRay1g2pxQ0D+o4eZQoSUB/K9s78528tZncOF/Y7lG3WoOKWxvHenAUucC6FZxmqDRfETYswUO4yO6N0MTkL+Sqv/VzFyQJrFlyahfzPoTVh4Nuc/2QhbxZq9CeRpmBMX2w2T3Au2kGu9aKSGxIdM65jj9MmSvuWykKxN2/rVG4LfGKp2CyQ4JljlGS6MLVzFuLINAvTaBYy6W72Mml/fn6BOsCF+WWBs328umhIFzeHOLPac4aGHTQkWQYh1GvtNNAs7I6MGN2lWXj7Bx/H2z/4Ofzpm16lb6Pp0nJn8slCVYIzUEzQpu9lLQ0pK2e/1OUskAuZHcqmno+ahQhXt0P9uJaG1OJGAk3nb+hmQQjxTjjoRwQp5f8w8z06RDiyNCRrpdFGECirx3FadkwquCHNIGcBUMXXzihdSFMWhUFpqgAUJwvFot+lWbAmCvkbUGwy5ndiiUKB3XG+Al9DBaMCwxXYRbVgt4bznjWkIRk3pLxZ6Md48tpu4T5Vxwx36clKNCRZaHjmP1kwDfU3v+gs1vux1rn4NAtxnv5tEpxNkZfJ6WlISZY5m73Se+QTOFtFoO2SkzjckIQQsN/ii5sDnFntFlzVDipUFoB6X5pYp5Jm4bbjfVx20JAev7yDc5e2IKXU339NQ+pFiENVdE+cs+ApQDiFiI71ZjkLxW34+jmiIdF2k0yWppRce6TPI2mGcZZhJW7qndKixeEGnV9939Wjgrpv9M/kP78FwM0Afif//duhgtluaNCJ9uhMFtTPsdYs+F9XNwoxThOn8BFQ780saEiAuthe3BwuTOBsOyEBanXQ3KdOs6D+b2sXSJhYlXswC8RhUFqB97sh+QvJpj79LrccF4wbEtcsWDSkimOGU3jsVfPU0izM3w2J9inAc8+uFPJOfG5InTyYrzRZCALI/JAbTiNwztzNXmOBsyw3C7zOzxzHaxgYTQvh+m6Cs8f6JbeegwieeMwLXR928+bv7PE+Hru8Xfp7kmX5hEfq7RENaaUbQQiBbhRO7IbkK0CiwN10VkGFHXK9mfuYUBoYqY8bOmfZhhV07ljJQ9kAdfzaeQ4tWhxldNrJAiClfB8ACCH+tZTylexP7xRC3D/XPTsEoJPnEekVmMC5WrMA5F+MYbmoo19TKWtXtZtiNacALUI/dPZY3xm61PdOFizNgizSOYBic0H0gXleTEO2T5rW43VD8hdKriwDF5K0WYJzmYYUO2hIFQJnFgRGu8ttQXnBPG+Bsy6cHMfkSjfEOJWF1dlxIvNmIShYp0aBQBAIdFC/uu1D6nFDsqlaPmqWXQQGomh7mmRZIzck0q5onvsBbhaSNNPfS6IRVE11zGRhCQ88/nTp73S8DROz3W3WLABALw5mkrMAUAGfv5as2WRBaRbM7z6Bsy2upmYhsb6bJAxfZc3CKMny4/poF04tWhBagXMRp4UQd0kpzwGAEOJOAKdrHnPkcdQ0C0bgXE+voi+GT+AseSjbDCYLrueaB3709c92XkC7uY7BngpUahY8WoUh5qtZiEPmlKILCc9kocLpyJVl4MKkCc507Kz1YwyTDMMk1dOGqgYzDIz/v2lkjK3rOJG6IJs3DYneC1dRRPqW7WGCTqR0DIqGJArHy5hxu8lad1o3JNfnR+9ll01fnI+33vNSqF8mS6/TFeiV5doV481/cJuFMZsATKJZuO14H7vjFDujRAc1Aua9HY5T3RyQboXOX9NMFqqbheJkoZHAmWsWPAJn27a1arLQi5UOh46xUZoVpistWhx10LF/o9OQCD8M4L1CiHP573cAeONc9ugQYb9D2WaNwFplrqQhxbTqVLydCoWMX1z2WBiv6MnC/N9on1eyEIqetDlICnqD0NYsSDOR0QJn7p4UBgDSuWoWwoDRkGT1Z0C8bVcjoLMMajjvTSclds4CpThvDhJ0V8LC/rqmWirBWf3f1ciM0wz9OMRgnC1M4OxaQCXK2tYw0baqo5QJnPN9G7FVaCD3rZ+wWch0U+jQLGgamXpvfcWw3dQHQZGGlGYSvbi8KGDXmWnO1z8sk4VoAs3CzjhBJwpwZlVlaVzZGmHphLl8JmyyQNgcTD9ZGFmNtQ1uj8zTqKtgJzj7BM7DNHdi0poFRXnSmoXQNAurvTjfTy5wzlrr1BY3DFo3JAYp5Z8IIe4BcF9+04NSyuaZ90cUdJo9MpMFi4ZUVeTXTRYyOZucBcCkOO/3+7zcURz7yJoU2JMF+rMe17OK0uWMNGvEDhqSb+WfLvyuQKoyDcnv09+MhpSiEwW6EVjLC42N3TFOrXRr91e5shRdnmgFkzQL5A0/78lCZhXYHHqywETOY6ZZ4DQkO/1zUhpSoqcUrs/PbBeoEqirn0azUKQhuZrBQJQFzJTnwR10Diq4Y08YqP2teu8HoxT9ONTH6eWtIW4/saT/Tg0gbxa2h+pcYVYeJ5gsJIr65Su6IzZlM1Ou6u9glkm9yAPkWRlVk4WQ05DKTWU3CjRFlGdVKPH40bgmtmhRh1azUMY9AO4F0APwAiEEpJRvn89uHQ4ctcmCpiHVhLIB5otRcknJvy+zylkAzAr0fovmlrpq9YxPCrg+AEAhAC1wNAauzIVZg1Nd6hyp9Kqqo7BrSkNqKtgeJVlhVLvWV58rz1qo2t8oKAu3iSoxzq1T4zx1dt7i2moaktonLnIepxJxGCBi1qlJfhshDoOJrVPpHOSa+kiLhuRroIiqpmlIVhGZZGWamR3cRvtCX43Q8feDBEVDYk18zXu/O06x1AlxckVNimz7VHpveTOwNUyw0ot0czyRZiFJKznQATvGTc5CdbGSZBL9wmTB3dC5NQtZyYb57LG+PrZoX0dJhiTLWuvUFjcMWs0CgxDixwG8GsBzALwLwOsB/AWAG7pZoIvxfq94zwr0OhJmC+kDXSTK1qmkWai37WyKRdKQqkD0krrJgmB/A4ouJa4051kjDExBavOMbdC+uQpJV5aBC00TnIdJpot7AJrCwEXOVfsbMFFnmY+vgsk6OdXHt6+zQrXAmWhIqd63NC9O44J1aqZXZAF1sZnUDckO5nL9rYnmRL0WtS8ipxiRDahrsiAESrabKTsOqjz8DwKSXFxO6ISB036WsJNPFk7mk4Ur23bonnosbwa2BknBRW3SyULVSmUhZ6GhGxJpSgg8t6Tw3Gm5WUgys/hD79ubv/m5errOBc5p1iY4t7hxcKPQkJq+um8F8DoA56WU3wPgBQC6VQ8QQvyGEOKiEOLT7LafEEI8KYT4eP7v69nf/rkQ4lEhxENCiL87xWtZOI6adaq2PJxgslBaccx/VYmfcN5nUixS4FwFslTlq8lRKEqaBeMqQ5qF4v3VNuYtcFZvvu1gYoNeS1WxSXQEb7HZVLMwtiYLebPA7VPt4CcOnhqs9RRcs5BrAHiWwbxQRbEjGtJOPlkw4WuiYP9KkxBCNwoqRbZV++HUnNiTIa9mQf0MWaGvbjdTHHulOFST5cJtUrJpmqcQPShQ4nI+1RHVNKRxil4c4mSuQbEd0xImcCZsjxI9ZQKUzquxZiHNKgWTXJc0mRuS+Rx9OQu2XoIaE7upjFj6tbZObWlILW4wGBpS2XL9KKFps7ArpcwAJEKINQAXAdxV85jfBPB1jtt/Tkr5wvzfuwBACPEcAN8G4Evzx/yyEOLAv/NHLZSNXgetLFVbp4bO+xjNAqMh7bHhvvfmVdy81tN0pP0CNQuhNSmoc0PijYHLIWnWCAOBNC3SdXzP19FcYxeNhe5T76bTTOCcemhIZrJQVYTzArSUTpxmxnEomLzonhRV7ysXOAOmWehoGhKbLAS8YA0wcqw8745S/MDvfhRPWQF2gJlwuN2s1M8mNDL1WlB4TXR3258fIOvU8na4XucgNwtJlhVW4uOwWi+yM1I0pF4cYqUblWhI9Fr5ZGh3nKFfmiw0pSFVTxY4hWiynIUGkwWLhkQWq3rhwXFd6JKIvhU4t7jBcKPQkJq+ugeEEMcAvA3ARwB8FMCHqx4gpbwfwNWG2/8mAP9ZSjmUUj4G4FEAX9HwsfsGqp2qiurDBBIm0gpk1USgy0bUHPOgIb3m3jP40L94nU7I3S8skZiPBxsF/smCbhZ4URKY1bp5QTnu5ALnms8g0m5I9QJn/2Sh2dTHLoDWJqQh8QLUOP2wyUJu8RmH8xc4V9kC25oFU8wRDckUeQUakscN6dzlLfzRJ7+Iv/zsldLfKgXO9nvkeU8yi05JLyljUwu7DnUJmDN5eGhIY2uqU6cX2R2nOmvl5EoHl7dsGhJpFsw2BuMUPXa89+KgMHmoQn2zYFzY9GShzg3JbhY8uhK7WaDJQlWDTMfxKFVOZK1mocWNAq3baWlIgJTyn0gpr0kpfwXA1wD47pyONA1+UAjxyZymdDy/7SyAL7D7PJHfVoIQ4vuEEA8IIR64dOnSlLswGxy1yQJAxS+5Ifnv1/FqFtTPLJtdzsJBwXLH+I4TbOcd92Sh2FwA89UscD5z3Wdg3JAcNJaGmgU1Wajfr1GSocsavqVOiDAQRRpSTc6CLdzmTj/jJHccChcncK6iIW2PVGFIxVfsCGUrWadWFP12gQow61THZ6OnLzU0MrsIDNl0kP5emiwEtCjAp2pc1B8cbIFzWhTld2ooYLujVC9WnFzulDQLxjrVNAPDcVpY4JhksjCy9D02osCI0HXOQs2FKLVcywLmqMQxLAmcVWNSFZhYEDhbE7MWLY4yyDb4qOcs1L46IUQohDjFbnoKwFcKIT4zxfP9ewB3A3ghgC8C+Fl6Gsd9nWduKeWvSilfLKV88enT+5sLd9RC2QD1WowbUgOBs2eykMmycPKwg0KYCoJlK5RNgk0WdHhR8f7AnN2QAvUZygIVzEND0m5IFaFsFcUmPYddTLpg05CEEFjtRUUaUpXAmSU4U+HCPfI5DWnezUKWU25cU8Vubt9q05DiUOTceDMNKDQLHpEtvZbLm+VmgWsWbA1BlqnGNQhE5Uq/3aDRe1/QLFR8z/XzFWyDoalwBxFJabJQPY0iNyQAOLnSLdGQtHXqOCs8phcXJwuDhpOFOoFzKIz2JUmL3wUfMkuz4Atls/NQyKZVHyeOYz4KAwRCTVMyWR8Q16LFUcGNYp1a+eqEEN8GRSX6pBDifUKI1wA4B+WG9D9P+mRSygtSyjTXP7wNhmr0BIDb2V1vg2pKDjSOmnUqkE8WGmgWjBtS2SUFIIHzEZssdF2ThWJhyicLTuvUBWgWaGpRoA54Jwv+qYE9WXBpFuilN01wtldf1nqxRUPKt+eZLPAE5zAQ+v2kFOM4XEzOQpVOQwiB5W6kaUjcXYZP7si9iRBHAYYVk4Ur2yPv34ByM8dDuKJAOBtCvg3dLJBmITPbLS8KlJ+fJ3mH4mBbpyYWVaZOs7CbuyEBwKmVTlngnD92wCYLg3G2t8lCRfHPmz9DQ6qfLPBjlgTOdpNJxytfEOJuSN6FhyjATj5Nq2tcWrQ4Kmg1Cwr/EsCXSylvhUpx/hMA/5uU8u9JKT866ZMJIW5hv/49AOSU9IcAvk0I0RVC3AmV6VCpiTgIoFPsUZoshGyyUFUA0hfDvo8QAkKgsKq935ans8KStk4t0oqKBRMKBRpguSEtQLOgXa34aqCnkNA0pAahXi6ahi2OrYLthgQgnyw0y1ng+pBMqmOP9j/JJEaOLIN5gduEurDcCbGdW6faAmeuM+BTp07o1ixQI+emIZXvp/8mWYo4E727XgvA3JAszUImHZMFLYJmx34mTXp5eNA1C7LwPVaahQoa0pjTkLq4uj0sUHi0wJlNFgZj02AAk00WKMDQB6430JqYmulelhXPxaFjOgRwNyRyfzOaharzVicMsJMHEc7z/NaixUECncOP+mShzl5mJKV8FACklB8VQjwmpXxHkw0LIf4TVDbDKSHEEwB+HMCrhRAvhKqzHwfwxnzbfyOE+D0AfwsgAfADUspmZ9V9xFGcLASBsRCsOt8T99y1ykTj7aNGQyLNQlRwQ7JD2cqTBW4jqGlIcxzTx6yArkoaVvtmGgEpJc5vDHDLeh8AC/XKiwZX8TfJZ6xoSEUe9lovxmZDGlLIeNpEsaGCjyYLHSvLYF6oK5z4ZIGoRXEYIObWqUnRNabrSXA2moXyZIG/znGWoQ/z/tJ7BKDQpNjIrBVj+qkpTmlWaWSgtyOLFLyD3CwkjkbNlWJO2B0ZGtKJ5Q4yCVzbHeNEbqXqFThbk4Ukk43cgkZphuM1zYIWOKfNJgtJlhVpSPnmbeGzK5QtybKS5sEGnyy0bkgtbhQsdyL8nWefwYvvOF5/50OMumbhjBDiTez3Ff67lPItvgdKKb/dcfOvV9z/pwD8VM3+HCgctVA2oHgRqrRODd0CZ3WbGm/PKmfhoGDJFcpmaxasgglAgc/vEj3PGrqATuunOzyU7R0fexI/8l8+iQ//n38HJ5Y7JoSJNR82JqGaubzj1/oRHr+8o3+vcm/iBSgVOCYbJNMr9TzLYF5IHdQcjuVuhO1RkYYUR/lkgQmcOxZv3jVZIPqQc7LAqnW72OUhXFHgb6B8moWiwNlDQyoInI3Q/aC7ISkaEqeAicJUgGOcZir9OC/8yRWJi5npu8FvGyQZupZmQd2nQbPQKJStmKVSS0PKUBI4AyjpFsi+l7shJalEmpaTvDnUZIFoSEfjnN+iRR2CQODXvvsl+70bc0ddxfI2AKvsn/37DQ26Fh6lZiEQhu9dtVjMV51sqHRXQ4E5KsYYX/bMY/iKO07g1mN9fVvo0CzQW+JKcCYu73w1Czm1KF8NBPzHKO3HOJN4z0OXkGRSr/TzIpIXJxxV7kU2huNi8QTkmgXHZMFVlARB0Q0pFKIwRdGhbEE1/3wWqJssrHQjv8CZW6fy1W2PdSrRh65uj0ruNfxlljQLWTFozR/KVjxGdLOQbzt10ZBEudDczwTnJM3ws//fQ7jO9C9VUBkXzTQLuzl1iJoELapnYnTjhqS2kWYSoyRDL+KThaBwnyrUNQs8zVwfX3U0JMu1jI4N+3Oymw8+Waj6nneiQE/Tjgr1tEWLFgqVkwUp5U8uakcOI4wn/D7vyAwRBtDc3SZuSK7pQyCEylk4YgLnZ51Zxe99/8sKt0VBWbNA74lJOuWj//nTkHR2QoPJghDk0JPhg7mPPxUL3O0rCt3FJhWyzULZynaQq724YJ1qU2I4uHtLlq/s87Thcb5aHHlW6GeJusJpuRvi4uYAgKVZYNaptiNPx0NDos8jzWSB+kK3EezHcrF9XEVDsho+TU+pnCzkNCT2lIUE5wVbpz50YRO/8OeP4t6bV/GNz7+19v7unAX3/u6O7GbBNON8e4DRLNCEoVfQLKj/N9EtDJOsUjBZmCykaoGijgqoGtzylNP+nOg4oeaDGr+6pPaCwPmorBC1aNECQPNQthYO0LX3qISyAWTJpy5CdRcGur+NQFhOPEepm7IQujQL+m/qZ1FIaWgh84KhDWWNPoM4DPDQ+U1Nc6GmIGXNsM+OdKLJgkO0udZXK/B0zGl3JY8bEhc4034BapVe0XqEEjjPeVU7qxE4r3RjbA3syUJQaLpGqUQcWQWra7LAXotNReIr+2WBs2QNgN8hyqYLCj1ZyDnxE9CQ6HaeMLwIcDvaJkjSohtSp2qyQM1CbE0W2P1NgrO67yBvGvpsktaNJ5ss2FM4Dv5dGGfNEpNtUX5gfc72a+EUtjSfFNdOFkjg3NKQWrQ4UmibhT3AaBb2eUdmiCDgmgX//XyhbOq2oylwdsGeLBQTnMvOR6FerZtvKBugCqImKdpRIPRUATCiWV40+GglVYnLHFJKr3UqAE3ZqaJNOa1TQ5osZJqGFFcUxrNCUkNDWutHemIy4gJnlq5tU2E6HutUrjWwmwXewNmaBF4cVgXVVYWyZZmElI6kdgffnVu1hkGw4GZBvfamE6XyZEHU0pBI4My/X/bzU5NA04PCZCFqPlkYJZl2I3KBfxfGiSwcRz6oCVFxG3Q7R2JNC4M806HOAawTBrqxagXOLVocLTQJZQuEEG9YxM4cNmjNwhEqhvlKeTUNye+GFASKhnTUchZcsF1mMim1RkPbVvKihK3WzXOfgNw6tYHIPA4DXRAB5nMjZydOVbLRdLKQ5EWnyzoVADZ2VWFdRe3jdpG0sk+vK8mk0gBEgZcyNUsQDcqHtV6MzWGiuOs6Z6EovrYL1m4+WbB974uThZH3byMr0C1jtKAq0XepWdCNgPl86zQLUkpL3L/oyULeLDT83O1mL65wQyJqDRX+NA3iadu2wHnX0SxMMlkYpjWhbNwNqelkwZHgTLcX7pcVNWtk4lCn04lDo1lo0ry0aNHi8KD2DJMHqP3gAvbl0EFbp+7zfswSPBm0chXJE8qmbisKnI8yDamsWWBe84G5D2ExmoUyDalqkEEF66mVLgBD6SiuFLsnC00bQpMKa1mn9tVkgUTOVbSpQAgjus2pMUEgEAi1GjqiUDa2ej8v1FEy6HVtDRJdhNK+UdqySpwuahaAslCZ/26nOBdoSNZr5om9VanWdraFDlbM/EFctnWqbfawaIEzHbNNJwuKhlQMxPM1GjQJ0DQkpgni2wPMcW4mC8wNqeFkQUrZ0A2Jms6iUN4HV4Kzur14PxK0C2tKlGbV5/LWOrVFi6OLpt/odwsh/pkQ4nYhxAn6N9c9OwQwOQtHpxhunLOg3ZAc2yAaUkOKymEGFUVSr7Ca5pFTQAh0EZ3rZIHRJJpoFmj/vvqeUwBMwc7ddLyahYa6lGFeILnckADWLFTSkMzzZWwVOwpM2FVnQdapLh4/xxpNTAZjI3COAr3iqichlsgWKBe8/LVc2S42C0WBs7VCzJ25QrebFVCmktHr4sGK5clC8fkzq+HYa7NwZWuIf/uuzzSmk1FD1piGlDlyFjzPRQUwWSdrgTO7PzWnplnIm+MpJgt2grILhQTnNGtkxWy7WtlCdoJ9bGvNQpZVLjp0I3OOaDULLVocLTRtFr4XwA8AuB/AR/J/D8xrpw4L6BR7lBbOVYJz3iw0EDi7ijqR5yxUiVWPCiJW/AHqmLCbBF4Q0v3nqVmIOQ3JQyNx3f8VzzqVP059/pJRqhS1xy++rW0WEncBRDQk4vdnFdvjNrWZtW9E+yDr1HmvaturtDZosnB9d2wJnNVO8+aGQN8pu+ClIj8KBC5vFmlIXJxqfz4Zo51EQXPNAh2/qZT6MfbxamsW7IUTThmbBu9/5DLeev85PHppq9H96T32Ffx//uAFPHh+AwDy5r5sPFBvnZo3+pbAmbYHmKZ4aE0jADNVq5ssjDzfFY5Cs5DJ2uKctCcFGpJP4JwWmwqtWZDVE0Q+CWndkFq0OFqoC2UDAEgp75z3jhxGHMVQNi5wrtQshP5mIRDqAsTddI4qQi2wlYjDoiOMvVILsATnOb4pPKisyXQnDgVuP9HHM08u5Y+jyUKRhuQqNpuK2KlZsKkVdoFcRV0LAysojO0bFXRRnuA875yF+smCmZgQvUU1MuoxuyPT3BDovbD3nd73M6vd0mShKHC2NAtc4BwEfs2CdR7TzQJ3NLNeaomGlBVvV9SVeiGvD7arUB1oNd43WfixP/gbvPSuE3jLG16o319eYFflLAwszUJHNwtGM2D2O58sOK1Tm00W9FSikoZkGmdb++KC/l4VEpzN58zhnCxkDaxT+aJIO1lo0eJIoVGzAABCiOcCeA6AHt0mpXz7PHbqsMC+QB4FhAGYZsF/Pxqpe7nluRtSII4WTcuGHWyUWTx/wEp8XoRmgQWVNVn5/5rn3ITjS51S8UDBZ7Tfbs2C+lmnWRh5NAtcX8Gf20lDEsVQNr5qXqAhVTj/zAp1hdNa3wi3CzkL+Wfj4nZTwWcXk/Sab1rv4ZItcGar96PSZKGokfEVw/Y0x9CQ2NTBKkZraUhibwLnkcX9r4PWLFRMB6hBo2OjWNwGGKcyF/UXP9ed3A5UJ7iz1HP107xO+ux2R+on1yw0nSzsWrQnF5R+h2hI9ZoFl/bEl7Ng52qE+ffJlbfBYbtLtWjR4uigUbMghPhxAK+GahbeBeD1AP4CwI3dLOjR+z7vyAwRCqH5t1VFvnZDctwlDBQNqc5q7yjAvuBmGbRogf7GL6IuO9VZoxDK1mD69X/83fsAAJ9+8rp6nHZDKoZsVWsWqveJVort1dLYWqWtsnoNmF1kQbzLLBsXluBcJ3BmkwUjcBa6OaBmgdOQug6XHcB8Hjev9fDJJ64X/lakIfk1C2r6Uj1ZoGOSNwI+zYJxTJKFbczKOpWK7ibOQYAp3H2TheE41duiz6OYs0A6BIlOVHytuzozoZizMHI1C2OaiOSThWhyzQJlFSx3/dapvCFOsnrNQibLn6OXhiRlgXYWBWrxJ6k5n/OpYRMNRYsWLQ4Pmn6jvxXA6wCcl1J+D4AXAOjOba8OCWwHkKMAsj0Fqlej7715Fd//qrvxsrtPlf4mhHFDOkq2si7QxTdlBYOxjyzTkGjFba45CyxhdpJgPE5fAqjZU3+LazUL1a/H54ak9RWa+pTvi2eywDULfHLDNQvxAqxT6xph7fKUaxaEUO8vCZz5/hJopbusWcgnC2s9XNkeFqxV00KzUHZDon2MQz8NyU7N5noEmvjYx48Obss3SUnOplnY22TBdhWqg7FO9TQLSaa3RYshrqmOq8mkz4qauVhPFmRhe4X9rkhwHta8ph2dGO1fy+OahSZuSInjPOCdLDg1C1nhO+dCoVloJwstWhwpNKUh7UopMyFEIoRYA3ARwF1z3K9DAa1ZOEKLKLxIq6ov4zDAj77+PuffAqEajjoR6FGALrALNKTi3/iF3EVNmjVIXJim/pVhF2yxNl8992kWbNtNH4baHaZ4R542DfDCtbxeEUlRAAAgAElEQVSNMDSi2TQrimn1ZCEK8inInCcLWbXn/Go3ghDAxiBRSc1hACHMZMGlWfAVrFSU3rTWw2CcYXuUYqWrTt3cOtVOrS4lOHuKd11IWpoF5WiGwt8I9NJtgbN2XwqCPQmcJ6UhkS7ENVlI0gxJJvW26P2MC018RbMwStCPQ91E2ffltM1ygjMXODebLBDtablTEcomzHehSc6CS7vEtSkcPs1C3TFfEDi31qktWhwpNG0WHhBCHAPwNignpC0AH57bXh0SHNXJgv7/lK8roMlCjS/3UQCtqPOiSQtFdWNQvojOc+XNNDDZRCnaVHDwUDYjkK3OWag7VqiI6lhFBDU2PNuBvwaOkPG0VSEMvW+7TLMQL0CzkGbVU7MgEFjpRtjYHSMMhH7dsdYs5OFVjpwFlxtSIIDTq2qYe2VrqJsFXtvakwXeUPkmQ/RaaJ8BrsMxTZx9vNqhbKl1nAWe46UpNA2pocC5yg2Jpg1UwFNxb+cs8Pty7I5T9FnhbiZ3RYHzcjfS+ztwWAX//+y9e8x16Vnedz/PWmvv9/CdZuabb2Y847GxPfYABht8iAFhYzstbqUIFAg4EtQlCNKQppUqQRNValUaJJooLfknqf1HE0IFKRVKIVKLQg2BVIVgNwXEOQSM8XHGHs98p/fde536x1r3c1rPs0577b3Xu/f1kz5972Ef1j68az/3c1/XfS0iSUJ0F0C6s9Ce4Mwjm9O8fRFP5J9apqRkbs5CUVivNxfpXe/5pfF8bnMzBACwe/pOQ/qB+sv/SQjx80R0oyzL39reYV0N3N20Q8DcQRxbA8naiGrush8q/PmoOwv6efOZmXfSWfAZnHu8mHxMqSVD0gWPT8bS5jEwUQbnUGfBuM/Q8ZrjOM1pSLGRQM2eBTbnbqtYzYuyNTSLqPIt3L1M6XwRq9eEC8eLAaNT06KkWEq6fW1BRERfuL+i1zx2TkT2JB53oVwaBVWbh8B9Dbm2LcqwQV7r3e3bmCrBee3Iebpoy1lQC/jMliElAc+Cy8W6sDoEahpSZhcf15YxfbE2oF+mOQlhe3SEELSM5YDOQvjjWckfi5KyvGg1QxP5i3DlTfHlLDjhbdxZ6EqC930NALj6tJ5hhBBf2/a7siz/zfSHdHXQEoDDWRHbHybjHpcQtPXF2lxQnQXDFMy7ueZCm9lFzoL2HoQTeNuuZwafmdN0Vp6F26YJzubkpuo+w8drytvcDIGX12aWgS56IhnenQ3xS3/wAr10f03f9rZngpfpMjgTVb6FuxcZLSLZ6CipaUjS01lodAiq++KE7ReNrAVLhuQxOPPrkkgRTLV2fSKm8dU3crO6jH3//tGpGxQLOecVbN5ZcLsUqrPg6filnoX8RZo5nQXOMSms/8+XMX32lUsqasnTMpaNIREnSdS7s3DW0lng9z5nYXTnLFT/W+d35+9dXbZsypA4swWeBQCOk67Owt9r+V1JRO+b8FiuLIe0HvaN1htKVE/P6LOguuq4nYXS6Ka85rEz+vrXP0Zf/cxNdfldjE61QtkGGJxdeUVR6OCzUCJv32IkOA1JyZD6dRaIqgVSUdo5C5cqZ0FYnZUx/OS//iR94gsPWosF0zwc4sZJTHcvU7pxGqvXJHGKBUuG1JLgHBvFgpm10C5DKu2QtJDB2fFe6UlHemEd7Cw4ngXdydjQ4OzIebrg96xv157fe/x/KGfB/J3JxTq3OguJ04Xg/9ljUJmp7W4EcxJHnQXQw1VdLCz7dRYqGVL75oMyqjsdAyK74CSqXnNbrlR16rK8sAzbLmaxcOjnfQCOjdZioSzL9+7qQK4ibuv9EDDXsGPP9ypn4ShGp9o6f9OzcP0koZ/8vndZl+ddya2OTjWkPX0SnNX1lDFaB6RZMqSWYqHr9kMJzlIKksIOguOfu5idD0siFUkl3VjUMiSi5uK5L2ltiG0j6zB7ElWdhT976SGlN07U4+Zju1SyKY8MqbHoLyiKBD16XsuQzM6COQ3JOebS6Qx1JjirzkL9c0OG5Ba3ZkFR/V99IczOwiYGZ/YZTCFDUmZp7gRUx7XwyGaCngWzWHAKXH7vnteL+1WW02WaexfWy0R2PiblWWhZmJuDFbK86JyGpDo/vmlI7uhUp1PBX6/zQj1GH0hwBuBw6ZuzkBDRXyOid9c/+pdE9OGyLNMtHdeV4DBD2UzPwlgZks5ZOPQdpmYoW7soTcuQtve88G2nRdkrwdm9num/MEPZfJ4F19gagndTfTr/OJJKItPmgTBn+xeF3gmv5sBXX5sypLGdhSwvO3MausyeRJVn4d5lRmlWNGRIF+um4XsR2N3mwmQRS7p5mtidhTYZkjH6NlTs8eWIDM+CR4bkvn/427AMaarOwgQyJKdL4esscLaC7z1+sc7p1tlCfS+lqKZLOQnOulgo6CJQLPTqLKwzOklk6zlCm5NZhtQzwdm4WChnoZqGJBuXW2dFe84CEpwBOFj6lv//kIjeRkT/oP73tvpnR80hhrL5RusNvw290DikQsqHuzvnS4A10Z2F7e28JUaHQOnRexQnrnynMBbEVYprc5FTOLvSIXjH1vUsVMerF168bgnlLBDVnQVnLKh+DGZnYdxiNc2LzuuaMqgQN05jlbOQ1ItRLhoe+kanBqchaZnJ7WsL+sJ9XSyYBYC7UHbTxEOdFjdp3ZQY6c6R0xFyFpquDCne2LMwcnSq17Ogk5uzvNDFgs+z0KOzUF1XJ2Lza3Cdi4W0kiG5XTSiahEdyoJgHqyzTsOyOeY4zQtrDKwPXx5Ka4KzcXN8X+uswOhUAI6UvqNT31GW5VuM739RCPGb2zigqwSfYw8peMw3LWMopgzp0DsLcaNYaC+yduFZiMxpSAMmdrmFj70z3e5Z6HqdV/V0GJ9cIo5kYxqSr5ZSYWGFO6nJ3iE2Dc5jqGRI7dfNilI9zyFunCR0b5XRZZarxRM/TxdpPTq1RyibOff+sfOlmrhD5CY4N4sFXhC3jZN15+qb74OQZyEkQ5JGwbHZ6FQ7r6ALFcrWIkMiIrrMdCGYeDwLvoX8w3XeGGO6iKThWXA7CzmtMn9nIfR35N5fm7mZyJY/Znm3wdnnBeK3nns4biJ0ZBQLbZ91VmfhwM/7ABwbfcv/XAjxev5GCPE6Iuq35XPAHOLo1ElyFmpZSF7229G+yri7c13jYvlDfRehbJXBubB2jdtwd+QLx7PAi6Nf+cMX6ad+/ZPqMkR9chYK73QYomrRZpqqQ7end1OLeiyo9izo25IbG5yzovQuOk36BA5yivNLD1JtcJZuZ6HpWXBNulmu594vYmkVQebC0w1lM2WAUYsMyfUW6c5CWBbWkCE5noU42qxY4OffN4HLR6ZkSM37NF/LVZob2RG+zkLz+pdps1iII9HwLJwtTYNzsxtBxOfGjmJh1adYqP7Pi7JXKJsu6o1jCciQCicfx/QstL3nYXAG4HDp21n4QSL6JSHEH1MlyX4NEX3P1o7qisDn2EOS2lgJziNP+FIQaYPzVEc2T/QuLGvu22VpLMPpmtG/CZbBuegveYqkICGMNGVzQW7siP7Er/0p/f7n7tJffuezagHatbNZFQv+BVCV4aBN1UR+GZI5LtI2X4dkSGM7C2Uvg3Pn6NST6vT6xfsreqw2J7ujU32dBXfBmhW25MpchJsLz2ZnQT9nXaFs9khNfdsq3Tk0DcnwtxDZ41cnyVno3VkoreuZmAXHZVaoy1odqbbRqevmwj+JdEo4/39tYRqcC7p9rfnxGvV4Xh6meacMyewspHnZKUPyFfUhg3NWFLRM9P3zdVZZ0dpN43NaEonRfjcAwDzpG8r2USHEc0T0JqqKhd8vy3LVcbWD5xA9C1PJkI4nZ4EX5rUMidp9Gt/43G36O9/21fSmJ65v7Zh0uBrnEQy7Li8QTalPZMhYXn64Vou4IQnOPg03UT2ph7sZbdOQjCCwvDDNtG6xoB//GHp5FvoUC6qzsFYdBP5fTUPqleCsJy+Zrw//jn/uPl6zyxXV3T7Th6Juo2yGcPFtcxHsdsJcGZJ+H/Dvm1r4IawGdhZYPuT3LBgypDQ3ZEimX8QvXSvLsl68N4uFdcYyJHsa0mUaNjj3SbZ+uMo6OwumZ6HqPPXrLJhFPf/9eD0LZmfBkCG1dhZ24McCAOyH1r9qIcQ7hBBPEhHVxcFbieiHiejvCiEe3cHxzZqSi4UDCmWbzOBcHpnBudQ7rG27aidJRN/xjldvdedNCKF2oLtSV13MnWtrZ1oKtXB86cGaVvVit2+C8yorgt2UJJJKQtOWzaGkF8oPw9c3iwWhFk5jd7azvKC0ljqFcBfYPm6cVMVCVpR6GlKLDCmqp+xwIJk6HmM6jSvv4cLhJIkaPgvThG1mb7i4BQS/N4sy7Fngb10ZkjLE1wbntuewDd1Z6Dk6tc2zkDrFgifBOeRZWGUFlSU1Fv6JYfjn1+Naj9GpkeghQ1p3dxbMQLW06OFZaOkseKcheS63zovWv3MufDEJCYDDo2sL4MNEtCYiEkK8m4h+lIj+CRG9QkQf2e6hzR8+xR7S5rm5QTV2PSvqVvsxGJz905D2eUQVkawSe/uM+DRJpNbEV4tNvj2pFo4vP0zpMuOFUv37np4FH7ExqScvwreldkLrjompx1fHbyY4d5iUQ6R5qTpjIfI+BudTveBzF1IPPaNT+XvfCFTdWbC9B7zQW8aS0sy9HlmhbHxbjcdS+g3ORR1+Z/6MEc6utBr2wPdn+B7G4GYjdNFucDZkSKmWIfWRgHGx0piGFOm/k4bBuZ6GdJI03++hcEOTh+v+nYW87ix05Rr4BhG0TkPyXK5reAM/h5iEBMDh0SVDisqyfKn++juJ6CNlWf4MEf2MEOI3tnto82fIDPurgvUhsdHo1PZd4kPBXYQV5TyKx0RWib1DpWCRsXNtB59V8peiKOlLD9dK0qJlQ+23u0pbPAvGArlNNsUL7S7PQjLB6FSiOt8gsGbr07HhzgJRcyF1UYfIufKRJBKt05DcxSYv9JaxbBRHZvdFSbOKgk7JflB54f+7LwrdiXBlSPzcc+fAlSGp12rkhsFqaGdBSYLaZUirLFeFaZ8EZy7qfDIkfs/qUDZtcF61yZA63pYP17m6rRAqSyUvqCi7d/N905BU8e0xxsdRs1ggah/MoIMHZ3ACBABMStcWQCSE4ILi/UT0i8bv+pqjD5ZDNDhPIUOK6okf5mLzUHFD2cqZSK/iSKrRqUM+vE1NfLVw1wvyvCjp3mWm3verrAgaYF1WWU5Lz04rUVPS0dlZKOx0cLtYEJbBewz8mNpGr/ZZBLNngY/LPFafDImIaBFHjWlIeVFY1zflRkVRdbKSWDaKI9egTlR1ZVzcyU78pZng7HanzIKC78u8XGgh2hfuBrjPRYi00AWeK6uxioU0lLPg9yxccGehUSyYOQu1wdmQIYU8C5Foyn5cHq5zOk06DM7KdNw0yvvweYHMDpJJbsjeiOznqXV0aozOAgCHSteC/6eI6JeFEF8gogsi+ldEREKIN1AlRTpqlMH5gM6NtsF5bGdBKAnDMXYW5jAJhEOj3LGY3dfTk4nclOS0KOilh3rG/yrLjWTYTWVIRjcj6FnQixuzaxUb5mEhhF74jVyouiMxffQpFq4vYxKikm8slAyJOwv1Is9poyxj2ews5E5nwTgu9k6Y03nM3+lRpmHPQihnoSjMUDZXhqTvg6g5bUcVJzv2LBBV2voTqRfqq9SUIeWGDMkoMgPmcn6dmp4FXZy5BucHq5yyoqQTT1uqS4ZUliU9XGfdnQVllPcb0F34dTAvpzc67MtyYrh5zPrr8H0s4FkA4GBpLRbKsvwRIcRHiegpIvoXpXarSSL6G9s+uLnj6nQPAfOxjC2ChKhzFgaaa68iZrGgDe/7h42wg2VI5jSkslSL2UhKKkuilx7oIWiXadE/wTkrrJ12+1gdn0SoWLA6C81pSDr4bNPRqbYW3UcfiZ2Ugq4tY7p3memchXohdZHmFEvRKIzMHWsmK0qlmY+NTAr+nZTCOw2pLPVzZmZUuLjSLzNnoWt0alnqIpnIGJ3a0snooizLwQnOpl9jnRfW4t4OZQvkLEi/Z4E7C64MKZY6idk1OL9ykRIReT0LvJESYpVVsiK3k+HCryd3FrqmIWWezoIakeuRIfmM0NX9hu9Hm/jncAYEAExJp5SoLMtf8/zsD7dzOFeL6ycxvfaxs4NaEE/lWSjL0tqZPlTMHdQ5ydI4RK1rlKtLEpnTkGzPAhHRi/fMYiHvn+Dc0llIImGNYg3KkIzCrCoqqp/rlGJ7sTI6lI13jFuubxYrbdw4SejeZdYYK2kWACYLX2ehxbNQ1LvASSQbRYaVwM2dBc/i3X3O+W82L0sSbGB3ZUhSFxR8HESGZ2GDzgIbzIlIGem7r2N0Fpzr2KNT/TkLIRkSy8Xc12oRS3qwyqzrnDeKheGdBb6/866cBWF3FnzJ6Ca+oj5kcK4SnP0+hVaDM2RIABwsR+872IQPvvNZ+uA7n933YUzKVDIkNqF2Tem46vg6C3PYWKs6CwWVNCxNNZJ25oErK7GKhSxvaNVDtOYsSElZXi28TJ9E83L6uTY7JvzzxDERjzE4l0YQWVtnwl1QhbhxmtCnX77w7rr6FniLWDbGd+bGfZkysep31QLQzKrQv7M9J9Vx+6chWVp2o2uQB4oF/laZ4Z0EZ6nub3h3hx//+SKiB+vcmw0Rug6Rr1jI645NWSU4e6YhcSChWyzcv6zel9dP7K6Y2cnR42slRVKoYsFXDEZStBZQXIB0dRb49eDOS1e2gXcaUtDgTNakr94yJH6PQ4YEwMFx2Cs5MBhLhjTynK+mIR2Dwdna7a5+Njb5ekoqj0Fpjd3sdz2tfTelNpGnWFilhsG5a3RqyzQkXsgR9ews1H4YNRbUCTxTBucRC1VThhIKdSvrLlKf15lTnHlhKqVQC23fDqyvQ9DwLJidhXqhb468NY8zcqRauU+G5HYWrFA23oW3j9XMYqjui6z7cQ3QQ2CPAcvWfEFrLmleGONPnWIhLdRkqsusoKwoSAp7ESxq34d7X3cvq4X/9RN7X818ndR0JSlpGUt6ufb1+Az9XZ0Flj11dRZi17PQ1VnweIv4/ds0ONuFsO86PhaODBAAcDjgrxpYmOsXGJy7UQnORdmqRd41vAPdtlPvvZ4pQzKkNqqzcF8bnAfLkALTkKwCpQjfll6A2mFzjc5CQH/eB7PACHkWXH1+G7zg5YRgIi0J8hULi0h6piHpUZY8wtb8XSQFJbFodA3M8bJaZhOQIXkWhHlRBj0L5ux9vixRU4a0SWdBLfB7+BayvKSz2hTskyHdPNW3lealV+O/iJpZFfd6FAumYXoZy3YZkmgvFriz0JWzIJUMyT9Vy8XXIQp1FkKGd6J2P4KU1XCB5MDP+QAcIygWgIW9wzjuNqQQKtTqkPwcPmwZUvWzOXRTLIPzoGlIepe/8izw7VWnCluGZBicu2QiWd4IIDOPtU/OglmY2TIk2zy8yehUczEdkjFpg2w/zwKRHb7GiymzgGB8noWqO6RlTG6CsxSiIU8ishO4ebfXt1B1i3r+siwp+Pryt6EEZ7VrPaKzwI+fQ+36BLOt80LtxjdTmKsxpotI0mVa1CFmzefeZy6/d5mRFM2d/sQo2vi9KISgZRy1FgtSitbRqReBXAcXfj9cZv1kSPyetUZjS3+x4HYjfROUQiyMUEQAwOGAYgFY+OZwD78N0jkLB77LZBULNCPPQr3oz4thsihTJuHzBbx43zE4s7yhT4JzMGfBTY0OdBbUArS00mTdzoIOIBtjrjU6C4GVLv+4l8H51JYhEbV3FpaxR4ZkLN6iOsFZTSFSBmdBazdnwTI4c2eh+ZhCO8m54d8IhbLpfBH755sYnLmzMqSzkOaFGjfq6ywsk0oiVHUWCm9nwScBu3uR0rVl3PgbiiNJaX0/qSHbWSaSXrmofQehzkKbZ0EVCx0G5/r+Vn0Nzh4ZUihnIXPO231lSETVCFoYnAE4PPBXDSzscKZxq15hypBmsMu+TaxxnrPqLMi6s1C0mhJ91+NdSFPCxAuGL9xb0e1rCyKqxzx6RjK6lGVZT0MKJDjLYTkLOsG5/nm9UHKzDPIRnQWzm5AGJvHobInu2+MFr7mA4oWdr9OSRP7Oglu08XuNfSW+zoKVRRHYReaf+cIYq4K/qB+rUyx0yJD0rvUIGVL9+JV0KOtTLJRqgd0oFtJqEtcyiWiV5ZQWpXdx7fMs3LvMvCN/k0iqYjTLdTFXyZAqqZ53dKoUjVwDk4d1svdZzwTnvp0Fvs8+OQtF0ZKz0KezMIfdEgDApKBYABY6gXWD2zBzFg78gyM25B0qpG8GD5lD2fKy+wPevZ6ahmTs3ieGDOmpm6dEpDsLnRKkejUSnIbkFCh9EpzbpiFpg/NmnYXQ9Tk7oI+RU3kWjMWpO+rVxDcNqdoJt4s21YkpKtmW62VQv1M7/WEfR1OGpDs4SuvuvCZBGZLbWRhjcM5sg3OXDInfD5xz4D7GahJXRCeJrEz5eeFdXC9i2bju3cu0MQmJyElwNjoVJ0mkbsM/OrW5k2/ysKcMye0sdBqc23IWjOPhaWDme9sqFjruZxHLzswHAMDVA3/VwCJSxcL4Fa8UVHcW5jEZaJuomfRFSWW9pplFgnO9eCwGFmxWKFtREq8N+DbWeUFP3jwhompqTdbDE8E7vW05C+Y0pNB7z5RNmF0P17OwicHZkiEFVrpaetV9ezwNaWE89tjxVpgsenYWzJGlkRCVOdfnWXByMkKdBd/8/argL0iI5t+xKtwCxQL/P8bgrGVI1XO36pAh8ePmBfY6ty/PGR8nSVSFsuWl97lPItHoJt29zBrm5uqy0srj4Pee+R73Jjj3Njh3TEPiYiFjg3O/UDbrdfYYnPlL27MgG9cJcW0Z03lHoQMAuHogZwFYRM6H/djbKMqyTpCd6sjmieoslHPzLEjKinxwdycJyJDMxcNTdbHACc59JiERES09O63qWFUabrjA5PdmljvTkNToVKezMEaGZJqHOwzOUY8dVN4dtwzOLZ6FJOhZ4LGUdtdEJTh7chbs4Lrw4t0NT+Snn6ch+WQlfHrgp0tNiHLlUqM6C2xw1uNO2+DngjsLfs9C1Vm4TAuKpF9X7/Ms3LvM6Olbp43LxpFOcDY7FabULiRDmsLgrHMWeGxr+98gF3Xm6xzJZrGQeWRnoa99/L3veIuS3gEADgd0FoCFnmYy/jaEEDpnYQ4r5y3izVmYQ2dBCsrywhqf2YdQKJu5SFCdhSxvHXXKqGIhsLhOIqH03+YC13dsfBl70o9TLExlcA6NTg1Ic3z4PAt8fD7PQmh0aqizwPryOJjgbHdfvAnOjgxJiCqgrFDekObjNIPbiMzOQv37luKki/VAgzN3A9ToVFeGlFaBgMs4oss0r6Yh9fQs3L1IVYfDuqxR4GbGaFurs+BZ8PcxOC+ibpOwG8qWBLp2jC/B2XydGW9424Bi4StfdZNe/ehZ62UAAFcPFAvAgj9DN5UhlcdicLaKhRl5FszRqQMKNnM0Z268fubi5c71E5Ki7iwYRuMQLCMJ5ixEwugsdE9D4p1kvt/EkSEJIeqpThuGsoU8CwMMzl/x1A36xudu01c+fUP9TE9Daj7OpWd0qpkWzdfVuRTVYj6RzbGfVmeoxceROxp1Ip2Vkuf+zoI7DYn/dxOcx2SPrN3OQk8Z0nnA4LzOWYYkdc6Cz7NgSIuYe5dp0ODMvizL4Gy8x70yJNkRyrbOOtObiUwZUj0NqWeCs/u4pSOL0pczZUj9iwUAwGECGRKwmMazIIwF1WF/uPDDy6xiYf+PmXeaBxcLkVQLSt/uPRHRo+dJpf9O+8mcVh2ehVhWC6+isL0ILrw458Whm07s7t6HZERtmNKlkIxpiMH55llCP/G9f876WRI1j1f/zt8hUD4Ht7PA05CM140pDHN7qwypLBtywUpb3xyryuiJSdX3boKzur8Rr8HKyVlYdRicuRtwrgzOvmlIEZ3EEb38MKWsCHQWYmHdV1GUdG/l9yyYo2izQhucWYYkhb8YlFK0FlAP1nkvzT//jXAh1WVwVtOqnLec2+no6izMoWsKANg96CwAC/4Q2uQzocpZaNefHwq8i10UJZGSIe33mIjqxXIxPEW7up4xaUfonzO3zhbaLNqjWNAGZ/8iSKULF0VrZ4EXKnx77q656wsYZ3Du9iwM6Sz4UMWNp3haxFXhZBUtxs5/5CzCVYKzZ1c8L5qher7HlOXN11BKozvoKxbqQw/JkFwD9M/+xqfpP/z7/0qNBm2jIUPqGJ3Kr9l5q2dBqgI3CyQ4u4Xag3VGZdlMbybS77U0L+pORfV42adwkkTeTQM3VM/lYp3T2bJ7Dy92ioXOBOfA5o2UZHkofLkaQ2RIAIDDBMUCsHB3a8dQJTgfhwyJSE8QmpdnQTaMwH2IpFA759acfmNx9ejZgpZxNYZykMG5ZXQqkTYud+UsrHN74eMbRVpNgxojQ9LXcfXrjM4UGPc6K9mU53Hy1KS1IcsqSzJkSHZngROcK9+HPl5exPNzyYtJ32MqPL4Elqe4YzTN35vH4T4nfJx8SL/32Xv0u5+9S//Lr/2p9zkx4Qk/nLPQ1VnIlAypGcpWFKWSIS1rg/M6L7zSqsqzoBfO9y6rwsZn2NUm+rL2QNidBd/YVCI9VroMdBcerLNOczORMTo1Y4NzPxmS+zpzB8m9XHB0KooFAI4SFAvAQucsbFYsHEvOAhF/4BZahrTn4yHSHYKhJnPLbBwwOD+iOguF5WsIwYu/RVCGpBdefRKcs5AMKTZ11uM6C2aBEZQhBfTffXGnN5nwjjUveN3pNLyI01Kx2uAsJZVlePFu7oT7Ho/7d8rylC7PgitDcs8ffPx8vx/+5T/u7C4M9SxwAcQ78mtPwbeMI1rGVenpMWkAACAASURBVCibubg3ccfP3r1MiYgCOQv6+fQZnH3pzUT+CUQmD9f5oGKhrwyp8HQMiJqyKDVi1Xh6fEFuAIDjAsUCsNCjU8ffhhT1xJqWmfmHRCUtaM6a3yeWwXloZ8H0LDia90gKun4S0zKuzKJFj2KEd4ZDMiQuIpQMqaOzwAs6flhuKBv/bMzoVEuGFDI4exZUQ1AGZ0/xlHg6C0RGZ8HxHnAxaGroiZqyE/Uce8aQ5h6fiBBVARAK3XMDvXJHhqSTpkt1XFIQffHBmv7Jr7Z3F3i3/HwRVUb6njKks6TZWdDvPalGp5qLexMzaI3I6Cyc+nIWWDrnGJzr5zlk5jdTyH08XGedGQvm7fDo1K7pSSEZUuQUCwU6CwAADygWgAV/GGxi0q1Gp/LYxamObL7IevIOf+bOoFZQmv0+CcsmduaBMae/XhzdOk1ISqENzj1uX+cshA3ORLUMyTBVu3DRw4tBtdvu8SxwsTQUe3Sq//qbFoUsP/KNTl02Ogv2Is/1LBRF9bwkTrGgdvqdaVZeGZKnoOSiMVS88e26ngW328PHuc4Kun1tSe954+P04V/+d3R/Fe4urLOqsIgj9hm0F338mJeJpMTIPyDSXS32LKyy8DSkJJJWMXWvT2chqw3OnLNQFyy+SUhEZjq2/7H07iwIV4bU4VkoShKieV53Q+LgWQAA+ECxACy0jGCD2zgyGVIsK8mGu0DbJ1G9sz40wZmN0URuKFt1qnjkfEFE1Q7qKiv6JTjXibphz4Je6FYLV//t8LG4ngX2AJi7xUkkR+UsmAbgUM6CWlCNTBzUMqQWz0K9CGT/iNtZsMbb1gZn8/i1DMm+XV8BlJdNqRHvOIdC2bRnofq+UIWyXSxwEbGupT//2fufoy89TOn/+K3PNm6TqTwGWvvfN2chiWQlJTI7C4a5/iSOKM1LWmU5LeLmY0pi27Nw96IqaPzTkPQI2zRvypB8gWxEuhsV7CyshsmQVkqG1O1Z8P2dujKkfMNQNgDAYYJiAVioncENcxaKsn0M5iHBu7Bzy1nIiuGdhShyigVn8ffIWbXLepJEtJpIhsSL5qwjF4Lfk7yId49tGhlSf8/C2KKQF3ahiTzVcWgDM5FOiw4nOGspF5Gx0+8UGW7gGxEnOLsyJKGlhN5igaz7KUIdkEJ3FpaxpDc9eZ2IiF6+WDduk1mluSpuTuJmSJ0LdxKSSNYLfk9noZYhERE9WGX+zoJ0ZUhVZ8FncF6oAresR7E6nYUWgzOR7Vn4zg//Kv3Er36CiPrLkHgKG0u0+kxD8r2OfToL5nM1h40QAMDuQbEALHj9sokMiXclh+rlrypusTCHD1Q1OrUYdjyJlJZJ1p3T/8hZ1Vlg/Xce2Hk24cVe2ODMu+KFdzIPE6kJNPbup88wHE8wOjXUmXAX4kNJPMUN0+gs1MfgXsdMcI6E/r0pTyLSf8dCCFrEzQwHvq2GDElNQ/JPDuL0387RqYX2LCSRVDvvbROOeHoRUb/OAj/mRd1ZMD0Ll4ZngW/z/mUW8Cy4BueWzoI0DM4ez0KXwdkcV/rbn36FfuH3XiCi/jIkouo1SlXnqTvB2fc6RtKehsTPpVlYmFdDZwGA4wTFArDgD/mRg16IiD0LdqjXIcOjU/njfwa1AsX1oj8rikFGXC58qtG3zSwDXSxUOQtti3vG3N31kRi7tG25ELqz4DfT2jkL40an9pmGlOWbFQvcBVi0yZBq6VZzGpKwfs7py6qz4BqcjbtwF9Lq8Xi6B1V3sF1KaIYvugnOrsF5nRW0iCXFUpAU/g4Hs0oL9TwsB3gWkljU4089MqQkUrv9D9a5N/E4iZvTkBax9HYJEkPW5ZuGFOos+AzOWVHS73z6lWpSU1GqvIguzNelq7MQkgtWmTiGwblsdha4i+H+HABwPKBYABbTJDgbi5w5rJy3DIeylTPqLKi5+lkx2LNApKUdekHu8Syk/RKizYk0/vvU+u8+OQu8ANSTmjhnwdZWj0kP5kJEiG6D89j3dnuCM79utcyId45bE5ztgss6RuO5DHUW+DZMZP2ebi8WwgnOrsE5zUtKIkFCCDXCNMTK6CxU3ph+o1NjWXUPrGlIPLY3shf94c6C/ju+d5nRDU9XgUh3cqrOgmFwrqV2ITO/NjibPoGSvvhgTX/yhQdEFO5KuJgTyro6wSE5WUiG5JuaRHQcmz8AgCb9tjDA0TBlzgLR+PGSVwk3lG0GtYIafbgaWiw403jc6TamZ4ETnLsWEN/1rtfQB978ZNCEGVudhfAiXAq9QDOPyZeInEi5USjbaRJtz+DsCZFjlqqz4E5D8nsWzATn6uc6fZvIlhMmkfB2FnwyJCm0wbmts1AEZEgNg3NmdgvafQjVZVn7L7sNzqYMySmIzElcpunYn7Og34eLWNDdi9Q7CYlIv9eyvLQNzsnwzgJ//bE/eYmIiM6X/YoFPXyg+30YHoEr7GMJZIjEUtCajmPzBwDQ5AiWcmAIU+UsqK+PYCeKd+fm5FngneZVVgz6gFedBd69r7+/fW1Bf/U9r6MPvPlJItJa8ipErf02Hzlf0HNPXG85Vu1ZaNvJjqW/WPB7FsZ1Flh6dLaIgtfnhfh4g3OzuGEWkZ0V0MxZqD0LxtQjKYQVbEdERrFuFgsyODrV/TuNpKC8liGFFqOyHpFMZOYsuHIpexoSke5KhVgZhcWQ0alKhhTIWTAN9qEEZ/P22joL5nsxKwola+KRqX1D2aqOZPW7f10XC6c9DM7mMXRlLFT355fNRcZrSBSW2LmbBgCA4wKdBWAxhQzJ3M08hp0orfOvvp/D56m5KBlSsPH1tAyp+l4IQX/rP/hydTmeUlMtJjfbc4iNhSXPg/chnQUxHxtrvK8bWu84kvRg3b4j7YN3qU9aOgt5QKrRF7XI81zfNTh3ehac0amuZ8G8i0Xs9yz4UriloFEyJLdY4IUoT0Miok4Z0jrLtfa/47JERrFQdxb805AiSxrUPomquv7dy5bOgpng7O0sBEanOjkLZvDfxz5Rdxb6GpydYrkNX5YG34YpQwq9t3m4AIoFAI4TdBaAhTI4bzgNyff1odIcnbr/x2wuhoYUbKbXgSgsI1smEZVlNW1mw1rBMucWnoWrSSRFo5B5+tYp/dPvfxf9+a94Qj8OOX50alwvvkPTkEK67r6oBOcWz4Ja9LudBWPMLP8+ksKSchH5ux+LqGUaUuQWC8ZEs1CxILUMyc114NeQjzN1OwttBuessPIKujsL9cQolbOgXzeds2B7Fnzmcjc9+95l5p2ExPfF950VpfXYiMKhbG6xZ5qLP393RUREp0OLhR5/gCE5mSklM4/Lvaz2R/Q6NADAgYE/fWChE5zH34YlQ5rBwnnbuKFsc3jEyciCjbXxa8dE7MKLoofrbOOCUOUs5O2LU6JqEeorZN71usemkSHVC7+2nIbJRqf6ZEiNzoI/v8AenSqs8bOhYwx1FnwFGhfAWT1tyYcpQ3Lvj4sPc3TqEM/CkNGpXAAt6pyFVcizYMqQOjwLRFXOgi9jgcjMBqkMzvy4zTA5H9wd4+eLX9/Hry/VZc57ypB0vkiPzkJZeot6t7Pgm4Zk3tcxnM8BAE1QLAAL/gydTIZ0BJ0FKefnWRjb3XHDu0KPRY2hXOUbP15zGlJXkJ+UzVC20G2mIw3OcSTUZBwfSqqxYShb2+jUldNZ4EIoUUWB9gpEUqhE4rRwd/ptz4I3wdlToAkjhT3sWdAyJG3ur4sFJ2dhnZmdhY5pSKYZOu5hcK7fq3EkGuNhOeF4GUeWNCg0Dcm8vbsX3Z2FdVZQ6h2d2i5D4nqGvSdveeaWukzfnAW329RGSC4oa28K0+VZ2FRyCAC4muAvH1i4muNNboPoOAzOsetZmMFflbnLPmwaku1ZCF1Xz6yfrrOQ5t1BfrGUDYOz93KRvWPaF5bLJJHYnmehZXTqwlmwNiY/OTv27Elpdhaq2zP//nw5CypPo9FZICVDCobkGTKkoii94V3snVjnZW+D8zor1PNQTd3qZ3CO66LJOw0plipdmYj8OQuGHC7NC7pIc7px2u5ZyIqSslwbnF9165S+613P0rvf+Lj3evySq9evfn6++pmb6jJnPXMW+LX1PRaXvCy9XqpINMe4EjULEH7fzeHcBgDYPfjTBxa63Tz+NqxFwwx22beNHp06H8+CuZAdsvOvDM7ONCQXLUPKN36NY7Xw6s5tkMIIZWsrFqQcOQ2pygOIo/Do1U2LhaRldKrqLASnIXk8C8LjWfAYnJO4OQ0paGitJ3y1dRa4+8D35+tmaYNz7mQndMmQOK8gonVWqOwD7+XzkhaRrFKqnYJobXoW4n6dhXVe0P2W9Gbz+qs0p6LU30dS0N/+1q+i1zx27r2eyllQMqTq+B49X9Azj5wSEdHZwJyFXp2F3P935cqQlOzN+ZuOndG9AIDjAsUCsDCn32x6G0THYYjjUDYlxdjv4RBRM6CsL3HDs+C/HHcWhoa++e9TL3R9u9wmkRSdfgoiau0MtJHmlVwjliIsQ9pQbqYC1nwyJCfnIuxZMBOcPdOQPIs+n8E5D/gvhMpZKBrmZ4YnJvHt+KagaYNzqd6T3TKk3BidahdPPqpuUHXbri+DJU1CCCeUzVeo6ffh3cuUiKhzGhJ3PfqMLyVqek7MYvDNr6q6C2c9cxbYS9JHGpQHktbNFG7zeEKhbMew+QMAaHIESzkwhEk6CyN3ta8qkZSUzSzB2VxAjJIhOaFsLqYme3MZktbhV4vf8GUjqYuAVrlSJKyxlH3hhecilkGDc0iq0RftWWg+0DiS9cSnajHNmvZYLQztRXhRVs+J/rltcLZkSHEzlI2bJ00ZUlUstIXkRcYkndK5nJSChFFMrMcanOsOQ5tvIcsLZRZPIjeULbfM0oxvbK1ZcN2rOwvBBOf6tb+ox/P2/Rvg14MX6MpbIgW97/k79IY717zvCx98sV4G50DHjjc6mFAoG3IWADhukLMALNwdzDH4tMuHTCSqxRl/5M6hWIhGdxZsz0JI6mMuvDb1pehxoEW1A9oqQ9LFQtuGqultGEJWFGoa0rYMzmoaUmBRaGr6Q50FZXBudBbYQ1DdVtfo1Dww/abqGlTPRy8ZUtHUxEdCqOyMvOjvWXBD2YiodXyq6YfwdRZY0lQ9T6JOXG7xLGSF8ox0dRYu6iKmT4oykZmz0Ows/MWvfYa+4x2v7nU7REZnoU8oW+mXk1Xhe57OgutZmOBzAQBwdUFnAVhML0M6/A+XqNbH69n2ez4gsk2PQxa1Dc9Cx+jUobfvg481rZ/DdoOzXsR3XW6cwblaSMaBTAKizUentuUsEJEVLOZ2MfTkKC3/kUJY3Rn+eXWM+nbddGPz9t0CjeUpIa17dR39XPhkLrwQVaNNe4SyFfW4VnMaElF7ZyHNC1WALZyU6lVaWO9VLhx8u/GqWChKusudhdP2BGfuLIyVIW2S2eH6WNoIhTOa42/N43Fvk99/c9gIAQDsHhQLwGJqg/MxfLhEkurRqfUPZvCQLYPzgBfTHAlZ3Y7/cmZnYWPPgspZKNQo0BDSlCG1TkMaZ3BWMqRIBmVMofGSfVkacpzQ73VnQU/6Me/T9izY3Rki8prtqyLEfkyF6pLYx8DylLbXQzoyJPd9FklBeV6qxfvC7CwEZEh8WTev4LLF45AaMiQutFgSuMpy63lm+VzXJKp7tWchlLMgRNWleFgXC30lae6UqGKDYoGL5T6FSmjKWLOz4P/b4vP4WOkdAOBqg2IBWPAHCnIW+hNLWYeyzcezYBmcBxwOv1485z+YsxBPXyykeVEtOnsmOLd1v5JIjMpZyGpJSxXq1t5ZGCu/ev+X36Ef/YtfRa+77Z+Y4+0sBDwLeR2aljjGdF0E6GOsOgv2oju0s90nwTlypiE1ZEj1QpSPqY9ngYukhsG5RYZkpkMvIkllqR+XKUMi0kWIbzc+ifX78G7HNKTqNnQGRJ/xpUTmlKjq+9BO/pDb6puzEOosmG/z8DQk4f05AOA4QLEALPgzb5MF79ixnVcVDmWbk2fB1DGP8ix0hrJNL0NaZd0dg0gIpSdv7SzIatE4VIqU5pVGv/I8BDoLGyzwiIjOFjF98J3PBoudZRzpaUjcxVBz7gVJUXeyjIWd7ixo4zOR/Rwt4+ZjChU+HNaVtY5OtbX3vgk6eaFlSGYoW17nE7iscg5Rcz0LbZ0F7VngDgPf5yqzZUhtnQX+2d3LVHUWrrVkHiSRUJ6F3gZnDmVzDM6hlOw2XGlaG0XAs2BOtLKOJ+BZOIbcHABAExQLwGKKD4VjMzizPt43235fmAuDIQuRuCFDCi9omU0XELwA7lUs9PUsGN2KIQwJZdtWUbiIpNL0+wqTuJ6+ZfoStGfB7kiYh5hELTkLzmORogpsC+1IV5cxQtnKZqeH/y7SrFT3T6QLAV93IdRZaAtmS/NCpWG7o2dXae71LPh245955JSeffSM/odf+EP6dy8+oPNF1GoeTiKpPAuDZUiF/TqNGTEtlQypX2chmLPgMTiHPAvoLABwnKBYABZahjT+NmwZ0qZHNH8iVSxU38/h8zSOxr0GfTsLS2t06ogDdO/XMN/2lSG1T0Oyd9r7khVVHkDS4lnYRGfeB1Om49OQ8/vNNCebKdhEhgnbkSGZ16tu399Z6BPK1pbgTKSLCR4D65qWfcWC9izoLgRRD4Oz01lQxUJWWMnNXHz4duOXcUQf/u630SsXKf3z3/xMML2ZSSJJD9OBBmfuLDgypFGdBSVD6udZ8OYsSL/BOeRZCGVuAAAOmyNYyoEh8KJhk11T87pzkORsG15YzSnB2VzgDXkNVM5CvcALrYeXsVRF0RS7jYkUaje9be3T973FC6h8oMlZT0MKdxZCuu6pqDoL9uhUu7MgVCYFH4cQok4Sb8tZsCU65uXcxyLq93RWeyJ8CEPvXpRNA21UH+e67izw7j8v3n0TkbizMEiGlJXqfbs0Upir+3BlSOFpSEREX/7UDfrvv+2riajdr0BU/a1croeNTuWn0g1lG/Ne4gW9LzPCJWRUjwKhbG4xBc8CAMcNchaAxRSdhWOTIUUcAFZ/5s6hQBodyuZ0FkLXFULQMpZ0mRaT6JjjSE8A6uos+L52UTvtA03OPA3JDfcyKcqShNiefnuZRHT3otLM+xJ1o0hQXmdSmL/jIsK8nrQ6C1wIFmrRHAqYi2Q14ahoCcljqRKRX4akDM6N0alh0/KQy5rXuZ7E1vV0ZyH3Fgttu/Hf8tan6dMvX5DoGGu2iCQ9TCsj9NDRqUXDs7BBsdCrs+C/D7M7RKSL06ZZXY4+TgDA1QfFArDgBdBkOQszWDhvG06ynZVnYWQoW+RM1WlbEC/jiC7TcGjXEJJIqN30tmKhbzq4yiMY2FnI8oJiKa2Ft0toDOVU+DsLekEYS0GpaXA2Fo282C5V4apvd+kspImMDkRgod/WWbBkSJ6d6zaDM1FAhpT5R6eGchmI2LNgG5dZjlXlLDRlSF06/x/4pje0/p6o+hu7e9ntszHRMiQnlG2EvGfINKRQfkmVs+BcTgqv/8S8TwDAcQEZErBQSZ2bFAvmgu4IPlwquUWhPQszCFrYuLPQMTqVSC+8JuksSGnIkNqKgH5F0HiDc1kbnCvPQlk2C4a2caJTsIz1iFPfYpLzC9xd6SRqdhbM49QLaf2c8Jfu4xFCj47tleAcGp1aGKNTI2ccqk+GlNn+BmVwbuksZE6CM5HrWfCFsm3+0ZdEenRq38U+/62YYXZE47qRsVEkdhGUIUl7YljWYoQmOo7NHwBAExQLwELJkDZ4ZxydDElWiybtWdjzAZGzuBzhWVCTiVqLhWjw7bfd76pHNyPq2bXineOhBmctQwpffxfFwsodnWo8Vncakg7Mksqz4FuEugtpIh3i1ugsCGPqVHAaki2n8d1GXmgZUhIP6SwMGZ1qh7IRac9NU4Zk51VsQhxJNTp1uMGZn7f2gqwN/jvZJMHZF8rmuz2MTgXguEGxACz4834qGdIc9PvbJq6NpVr6sf/HbBmcB8mQbM9CW9HIwWxTLJwTw7PQVgSYx9P2NEdKhjSss5AVlVk29uzCM7nHzDsli1hPhsqKgqTjj4jZs+B2Foyxsr6AQF9noQh0FqTQ3aX2ULaOBGdPZ2HZErTGBQQv+pNIUiRFa4Lzui7wqsvz+1eHsi08o1On6CwsIhEcNRpCj06trrdJGvjQaUi+5kclQ+ruLMRSHMXGDwDAD4oFYKF2kDYqFpq3d8ioUDY1gWbPB0ROKNuA19JNAm57H/Cib4riKO45Dam3wVlu0lmQDe27SV6UWx0haXUWirIxmaaaemRPQyKqOwsqZ0Fflll4RpaaWQ0mUuppUKGFsKl3b5MhpSHTsqcAcAsLIqKT2kgfIs0L9b5Vvoy8oLJOj7Y9C+GchaGYr8tYg7OaRjXK4NzPf0Gkk759x+NOQ/Idi0SxAMBRM4NlDZgTvPDY5LNU9JSKHAo6lK36fh6ehX6LapfImJjTdV3uLEwl6ehlcBb9HhcXS0MNzmYoW3V9T2dh2wZno7PgW7yp95tTEFTjXu1FqHnVhacACgXMRUL0mIhlJxG7txHzNCS3s9AiQ+ICwsxGOF3o6VA+0rykJLb1++usULfvlyFN4Fkwbre3wVl1FqrvN0kD5/qkb4Kzr56RQliehVCuRizFUZzLAQB+UCwAi8lzFo7gHcaehXxO05BGFgt9Q9mIjM7CxNOQ+hqc244tcYqevmR5tVjiBZivs+Cb/DMlyzjSCc55c/EWNRKcq98vjHGvQ3MW3AWnFLqzEPYsCGt0qvt6cMctbXgWhnUW3vLMLfq1P/mi12xORJRmRcPgnOb+YkHLkCZ4z1rm8X63x8+RWWQRjZUh1YVPj/tuMy4XRXdnIUJnAYCj5giWcmAovtF5w65v39aho02L1eJkDqFsfeU6LnFDhhS+rDI4TzINSdAq7Z6G1PdxPXq+ICKiL95f9T6Gsh4VmtShbER+z0KWb7dYWMSSirLqauRF0ZA8cWfBTV+OOe+D/GFf5q47o2/DPgYpuw3OXCQT1TIk5za0wbms77+6nT6eBXOC0Xufv0N/9tIF/dEL973HkRZ6dOrC6iw0uxTvff5x+u53vYZunLSnM/fBlB717VQoGZL7Oo3qLNg+jTaKQIKzK0Pyyd6IiE6TSP29AwCODxQLoEEkxEa748cmQ+LFXJrNp7MghFA70oMSnLmz0EOGxDu200xDGi5Danuen7x5QkREn7t72fsYUmNRy4tO7zSk0r/wmoql4S3IPLKQoGdBmp2F6rLeaUiWwdmfIGzeZXh0ql7shhKcTYPzMorqx9cmQ2p2Ft77/B0iIvrF339B/eyX/uAFevnhmoj0uFsiuyByJysRET3/5A367771zRMFCQrv123wc8Tvq2yCYqFPoZKXfnmRm7MQ6ix837tfRx/5j942+BgBAIcBigXQQMopZUgzWDlvGV4ApDPqLBDpBcyQhYiUgoToJ0PincYpXmMziKxvZ6Htfm+fLymWgj73Sv9igceIxkZnIeRZmMIgG8IccZp7dnqrwDhzGlL1czNnofB0DPSkIJ/BubnQZ0LvAVeG5E1wtmRIdWdhoAzp6Vun9PyT11Wx8Ot/8hJ9zz/6GP3Ur/+Z6rDowDddEPlkSFNiHmNfgzO/HrvuLIRHp1Kjs+A7lidunNDXPvvI4GMEABwGKBZAg0iIjRaA1jSkmSyctwl/uPJCbS71EU+IGTolMpGyZ7HAnYVxx2dS5SzknfdpyZA6kp6fuHEyqFjQnQWp5Vh7MDibO++pR/LEnQU9SUebdhueBbOz4BmdmhW2lIkxrxcqjCwZkmeRyRKXpsG5XYa0iGTjeN73/B36+J9+iV65SOnv/PzvExHR5+9e6olNanSqIUNK7TToqRmTkq4MzpN4Flh+1sPgHHjPslTMutxcTmAAgNmAYgE0kHIzGVLfiTWHAj9GXrjMIWeBSMujhh5PJPuZjVXOwgQz66uFbvfCaYgX48mbJ/TZjmLh3mVKn/rSQyLSr58VyhYwOG+zY2Z3ForGYj2ObM+C6izEklLesfZ0DHyhbGEZkvk8+19f6ciQ3KfE7CwIYU5tktZ7zGTt5CIw73v+DuVFST/8z3+XPv6nXyIiohfvr/RYVq/BmT0L2/mYM7sJSU/PgjI4O52FMdOZVBhfj/diqGOgEqWVLMofygYAOG5QLIAGZ4vNzGzmumMm6+atEqtiYT4JzkTGtJSBC5FYCsOzEL7cUnUWNn/AibVLG76ceV9dRdCTN07o8x2ehR/7v/4tffP/+CtEpAuDWOqchaxoLmh9E4qmxJTp+BZ5oQTnpJYnERkypI5QttDOtjWkIPA8CyOULS/KhgyJjdjrultg/r7KkvDIkPLcKxv6mmcfoVtnCf3Mv/kUPfvoGX3Ns7foxXsry2dCZBdE25YhWQbnvp6FxuLcX6z1gd+DfSRQoQJXDWcwXsdj2OABAAwDxQJo8JHvfjv91Xe/bvT1oyPrLPCHMC/UZuNZYIPzwL/yONIz9tsei05wHnd89n3qG2k1OFta+vbb5M5CaOQmEdH5IqIH65wKU1sfCWMaUqCzsOWcBaJKkuObe18twpsJzrHpWVAG5+btWp0Fj1zJ/b4twZmf2rL0dyeqaUiFpe8nsoPnTFapv7MQSUHveePjRET0X/x7b6Snbp7QF+6v1N8cj2U1Dfq6WNiODCnZwODMi3PV2Rmh5ePr9LnvUH4C/z3lRvGCzgIAwCXe9wGA+fGWV9/a6Prmgu4YPAu6s9A9bnSXjDE4V5eXdLnKqq/7GJyn6Cz0lBcNKUSfunlCF2lOdy8yunnmH5V5vqxOgQ/T3CgWpHcXntn27qs7DcmVAUWyKgp8Cc5ssvd1DJSe3wplo/q6zkLfuF4wwdkwxxZlab2GfJuqsxC7xULk9Sysc3+xQET0fd/4OrpzmqZAQgAAIABJREFUfUl/4S2vov/vk1+i//veF1QHjB+bEKIKtcsLNS3pbLEtz8IIGVKgszAqlM2YgtVGWZbeHAwio9NhhuvN5QQGAJgNKBbA5JifNcfwwcOLudQj/dgnvIAaWrDZMqS2YkF2Xqb3fUb9CkzeTRWiu4PzxA09PrWrWHiwyvTCLRJahuTpLIT031PRnIbkX4QXTkGQSNEwOLvSH75dxpUyMdaQguDoVEOG5Om2SFEZnDkV22SZ+GVIq7QIyobe/PRNevPTN4mI6Pa1Jd29zOh+XdSanYtFVBn0/58/+iLdOInpuTvXvLe3KbpAGXae42RrIp3NMuac0XcaUpuJWmfE1MXLliV2AICrCWRIYHKOLmeh/ivSMqQ9HowBLw6GFmy8GCVqfyzLeMJQNlOG1KOz0Od99VSdtfDZVy6Cl7lWFwv3V5nVWXC7RSa7SHAm0p4Fd9c/krIyODsm5iSShgwp3FmwEpxDnoWBMiTfzrU2OJdqbKp+jH4ZUltnweT29SURkTKwm8/Ror7tX/7DF+kbn3u817SgMSSqSBt2+1WydfW16uxscRpSaDwuHwsRqayFfMvvbQDA1QTFApico8tZ4M4CG5xpHo9ZLSaGFgs9JUHLCTsLpoSlz+jUPu8r7iy0mZzNzoJpltUGZ08o29ZHpzrTkDyehdTwLEhj0ciPgReh7qI/ksKb4NzwG/SRIQldlJQt05DY4Gw/xigQypb38hg8fq0qFng0buJ0Fn7n06/Q5+5eKp/DNlA+iYF+g8gyhheDOxPqdoyOUhtcCPg7C9X/psF5zGQmAMBhg7MCmJxjMzirULaZehaGShzMnco+noWpEpzVfbaclfix9HmOuVhoG596vqwew/1VpjpDsZSGwXm/noVQzkLu8SwkkVDTm7QMyb7tJBLeaUju+rBPwc8GZr4dX3eCDc4NGVJoGpKnsPChOgsvV10jKyAtFvSbn3qFiIjevcViYWwxzkUUUS1pG/n3o/I1+nYWWjwL1vHM5QQGAJgNKBbA5JifScchQ6oeow5lm8djjuW4nX9z8dM6DWnCBGdzd7a9s1D/3+M5XsSSbl9btgazXVOdhdwKZdMBZoHOwk49C54EZytnQRtd3QRn9zjNpGyifgnOocWwcGRIjdGphsHZ9SEsE+k3OAdyFlxuX1sQEdGnX/Z3FoiInn/yOj1ZS9G2AR9n3/RmRgojZ2ED2Y+WIXV4FnK7A2UdS8PgXKBYAAA0QLEAJsfeldzjgewIFcq2gVlxGySjpyH1lCHFE+YsSLOz0FYsVJfrW6A8eXNJn+shQ3q4zryjUzNfZ6HcbseMZTjrvPDu9PLOtOtLSCJtTNejU51iIZb+nAXnclbBH/IsSL3ILIqmDIk7D16Dc1CG1LdYYM9C1VlILM9C9fy9503b6yoQjS/Gzc5CvoGhmP8GujwTurPgORaPwRnFAgDA5QiWcmDXmJ9dx9BZcEPZZmJZ0Pr+LcmQnr51Skkk6FW3TscdoHWfAzsLfYuFG6e9Ogv3V5mS8MSRVAvB1OtZ2O7uq8pZSHOvZyGJ6lA2R4teGZzr0alqypFz25FdLPiM0ET9pISmDMln+uapP/7RqaFQtn7FwkkS0fWTWEnMktjsLFTHsU2/ApF+zw7tLETGNKRsg1GlvTsLKsuheZxuzkJRYhoSAKAJRqeCyekT6HRIuKFsc3nIvIjZxOAsWtZBr370jH73hz8weLHkI4l6dhYGTEMiqiYifewTLwV/zzP4TYNzLIXaqU49u995sd3ukZIh5YV3p5d3pt2xp3EkqCirXX7e6XelQUks/QbnFhlS++jU6uuibCY4S6k7C9zBYULTkFJPgFuIx68t6dO1Z8HcXV/Eks4XEb39NY/2up2x8HEONThLIZRMbJPF+Z0bS4qloMfOF62XK1o8C/zeKYzi5RjO2QCAYWytsyCE+J+FEC8IIX7b+NmjQohfEEL82/r/R4zf/S0hxB8JIf5ACPHN2zousH34s6bPLPxDwO0szEWGNHZ0qrVQ7HgsUxQKRP0nMPFj6fu+evLmCb1ykdLFurmLTUR0vuDOgg5lW8TSmIbkKxaau/1TogzOae1ZcBajlWehUDP6zc4CUSWHC6VML4yJSUSmwdmVIZmeBf9rHElS6diFJ8E5rosFn7QoGMrW0+BMVJmcueAwR7O++7nH6T/+htf26lBsAr8uGxucR76Xvu51j9HH/qs/T3dutPsydEHoOxb7MqGkZwDAcbPNs+k/JqIPOD/7m0T00bIsnyOij9bfkxDiK4jog0T0lfV1/oEQYjuxm2DryIG7v1cdfrzZzDwLYzXVpv57V7uMVs5Cy/PHC5m+NcqTRjCbDykFnS2iKpTN6CzoaUi7NzjHUpAQVWfBZ3BWnQVnPCo/N1ledR18RWLiGJxDu85mfdIqQzISnBueBaOz0BidGghl62twJtLjU4nsovVvvP85+sFvfr7XbWwC3+dwg7PxvG3wXhJC0CMdXQUioyBs7SxU31edLKiTAQA2WzsrlGX5K0Tk9v+/hYh+vP76x4noW42f/9OyLFdlWf4JEf0REb1zW8cGtosab3kkO1TumM2Z1Ara4DzwgMzFwq4eS98Chd9TfR8TT8Np8y2cL+NahqRD2RKVneELZdvue1sIoWQ6aSBnITMTnOvnjqdTXaQ5laVfDpc4BucsIEMyH19bsVAYO9KNUDZjdKrfs+CTIZW9F988EYmIencjpmSTAQKF0VnYdq5Ba4JzYxpS2bsQBwAcD7s+LTxRluVniYjq/+/UP3+aiP7MuNyn6p81EEJ8vxDi40KIj7/44otbPVgwjmPrLKhpSFl36vEu0TKkYdezJEE7ejDmgqntPqOBhagqFu62pzjft0LZJElZBZhlns5CtmUZElG1+F1nBeVez4KkstTTt/g5MQPmQsFxy8j2LBSBXWfz+3Aomx6dWnoKKDY4p1lpFYNE4WlIgzoL1/2dhV2hPEED77t6Xqqv86Lc+sS4tgRndxpSNcoV1QIAwGYuZwXfp1HzU5qIyrL8SFmWby/L8u2PP77daRdgHLzOOBajnAplm5kMSRuchy9mmN3JkPT9tB0uH0//aUj9gtkeWNOQtKwn9XgWii0bnImIlklEqyyvdp5dz0L9PWv++fkyJzvlgSk7SeyGslX/jzE4S0GdMqSyrFKZfaFseVFao2nL0t+FCHHbkiHt/m+O/666EpRdpLQ7MtvuLIQyN8yfwbMAAGhj18XC54UQTxER1f+/UP/8U0T0auNyzxDRZ3Z8bGAieJFyLJ85cw1li0a+DubidFcG9d4yJJXg3O+4zpcxXT+J6fNtxcIipgdrI5RNai26r7OwC6kGh6d5k5Hr73lnnotVM2CubDE4r81iITBi1fw+WCxI4chXmp0FokoW1ZAhJTqlmuHn3w1wC2EVC1s2M/tY1KbqodOQWJ5FtH3/C5EhNfN1mmrpGr8OWY5QNgBAk12fYX+OiD5Uf/0hIvpZ4+cfFEIshRBfRkTPEdGv7/jYwETwZ82xfOgoGRJ7FvZ5MAZJJLzjM7uIRhqjN6GvDIkXZkMO7ambJ/SF++vg76+5ngVjEejzLFQTbLZ76qwMwIVX086LcJYT8et07YQ7C2kwGTjxyJAiKZpjT3uMPxaCjNGpzfcZbxpcph6Dc2wvUolIFTF9uwSWDGkP0pnYKCqHIK2chWLrUr/QxCsiopO6yLpMc3VZdBYAAC5by1kQQvwUEX0TEd0WQnyKiP4bIvpRIvppIcT3EtEniegvERGVZfk7QoifJqLfJaKMiP56WZb+WYdg9qhZ+EfyoRO7xcJMHnYs5ajXgGUVu/ScJJYMqbuzMORx/e9//RvoNAkPV2ODM0tizEWgbxpSFUDW++5HoTwLLTv267w6RfLzdW1ZPcb7q7wyYXueokXc7Cy0zd83788lEsIYndqUIZnX8xmciciaiMRFzJDRqcw+ZEhcJAw3OJMhQ9r+eZK7P77X8bTOGeHRwshZAAD42FqxUJblXw786v2By/8IEf3Ito4H7A4xUCpy1VGhbEU5q2yJSIpRrwEvFnb5MHobnOXw99bZov00d76M65wFNjhXt51IYWnqmZB5eEoqz0LhNVNzEi8vrvn3psG58EwnIvIkOAcMtuaCMVS8NRKcW7oTDc8Cy5CMrAVVLMT9pmZzGJkQ+9mYSJS3ZWCCsxBKGpQXxWAZ01DaOgunxgQtIn8SNwAAzMXgDA6IY5MhmfPt5/SIv+z2OX3Z7fPB14tHjoTchLhnZyHaQiF6XucspHlRZxywDEmqRZ1JvgsZUiRpneXBUDYivbjm50IZnC+zoBZ+4Ulw9hU+5o/C05AMGVLRTHBu7yw0ZUjpQBnSSRLRjZOYkkjupUDXOQvD7tv0emSBom5K2hKcedwuy5AyyJAAAB621lkAx8tQE+pVhx9nmhezeswf+vrX0oe+/rWDr6fC3HYqQzI6C31yFiZc0JwvY7pIc1pn9i5vHAlLssPswuC8TKQa5+oWJg2DM3cWFnoaUiVD8nsWTGlVFpia1GsaUv3zsiyrBOeWiUq+aUjVY9AypJXqLPR/cm9fX9ILd1e9Lz8lamrWwDdD5HRktr04Z5O+73U0i4WiKKksaeuFMADg6oGzApicMbryq4wZyjanYmEs+5EhGZ2Flvvly00ZisY78i9fpJZRdhFJvwxpB7PoF5FUOnJfKBuRYXA2sifOFlFdLPjlRW5nISQ7MQvFUNHI7/W8KIOjU837NfEanOuv+05DIqomIu3Dr0CkvRVjRqdysZB5cjSmRk+8avEspLnqom1bFgUAuHqgWACTI+p31bEUC+bo1AOoFdRidLcyJH0qaiu4dILzdPfNWv+XH6bWCM448oey7aqz8LAuFrpGp5qLcp7sVARGpybu6NSgDKlHZ6H+cVH6E5wtGZIbyubxLJgJ2n15/Ppy8M7+VMRjDc6ifeTs1HBUiK8I0NOQCu1tOISTGABgUiBDApOjdeV7PpAdYYayHcLn7NhF0Cb0zVnYxqSt83qK0CsXa2uBG0tJqeNZKMtyJwbnRaSLhWZnQWcUuL/jNGoif0eAOwtlWXkMqg5EWIbkG6vK8PWKsvQmOLcanH3TkPLhMqRvf9sz9JWvutH78lOSjJUhSUGrzExM3l9nIY5k1cVKc3U5eBYAAC4oFsDkHJ0MqV68pXk5SEIxV3ixsEvTaP9pSNX/Ux7bNbOzYCz8kkhQmtkyJK4dtm5wjiN6uK4X/YHOwjovGgv087pYOFtE3iKAd/izoqQkEsG5+mpIQVuXR+hiwTs61SgAh8iQ+o5OJSJ675vu0HvfdKf35adkrME5koK4YbWLzkJe2N4Wl2VSSd7yFm8DAOC4uforGzA7eH1xLO1sXjf6pBhXETUNaYY5C9EWzNfnpmfBOI4kkpQVdrHAUo2t5yzEUo2zdBfzfIyrNG88D0qGVPg7e7zAZclPXvj/TvsYyS0Z0tDRqW05C1ek4ObHNHh0qhQqZyHLt29wZtVZ6G/mNInoMs3Vex2eBQCAy9U4K4MrxbF2FojmE8i2Cfv0LHTdJ685pzw23VlYW5KS2BPKxlrzKQ3WPpaxpPquGjIXs7PgPg+cGZEHPAu8EOeFeZfBuW0haxqcS0+Cs/l30egs+HIWRngW9kkl0RoxOtXNp9h6sdDeMThdVMVC1+UAAMfL1TgrgyvFseUsmBuLh/CIefd+H9OQujoGaizvxKNTiSoZmbk4TqRodBbUxJgtv7fNxXXIs7DOikb34PpJTPdXKZUtBmcivTAPyWD6PM9msWB+z5hrfldaNNU0pH3znjc+Tm959a1B14kkWTkLu0pwDhYLSWRNQ9plRxEAcDWAZwFMzrHlLJg7qNvecd4FyR5C2XgR26XoUMbbCQ+NDc5E9iI9iSSlmd1Z2NXEmKWRYhz0LGRFo+twvozowSpvDWXj6xKxdK55//w6tHcWqv95vKzbEIjaOgsHIEMiIvrH3/POwdeJjNGp2wr4u0xz+rnf+Ay9+embndK5ZRLRhTEN6Vg2eQAA/bk6Z2VwZdhGcNacMR/mIRRIUc9d/inp65PYToKz3jOxpiFFglKns1DsaEG1cEa4mvD3a0+uBxucc890IiK9w8/yqq7OQp+APN6RdmVI5uI06FnYcHTqVUQKoSYPhQzmU/BDP/Nb9NHf+3xngXuaSLpcaxkSPAsAAJfDPiuDvSHF8bSzhRBqUXUI9ZGehrS7++QwtK7OjHqeJ3yizxaReqxxZHcW3JyFfciQggnOadHYLb6+jGmdFbRKc+97sdFZCMiV+D76eBb4OXJvx/zelSHFkaxHiDY9C1epszAGt7OwjQ2GkySi29eW9OmXL3QREOhgnCYRXWaGDAkJzgAAB5wVwFaQQnRKSg4JvQN79auFfeQsxD2lT9voegghVHfBXNTGUjQSnHdpcDaPw4S/X2XNaUjsv7h3mXmfI3caUlGU3p3kIZ6FtPDLkGyDc/N2lrG88jKkMUSGwTkrmlkZU/H0rZOqWFDvWf/lTpKoGp26o0IYAHD1OOyzMtgb0thtPwYOKYhOd0l271noNDhvSeLGvgVz4ZzEkta537Ow285C2LPgy1kgIrp7mbZOQ1oZnQXfc84328ezEJK5mIvTRRSRS1UseDoLhy5DMkan5gVRtCXZz9OPnNKnv3TRKZ3TBuc6EfxIOsIAgP4c9lkZ7A0hjutDJ97DAntb7OOxsKm6U4a0hWlIRHqRbe6G+6Yh7c7gHO4smBON3N9d52LhIvXuJPPznBrTkLoSnEPw9fi23OfEei69nYXIHp06IpTtKhJZnoVia3LNp2+d0qdfvlAp5KH7OXFGp6KzAABwOeyzMtgbkTyuzoJUC+w9H8gE7EOGxL6PToPzlp5nzlowZ+bHHs/CribGWMVCIGchzZsLfSVDWmXeY1z6cha8nYUexULDs2D/vs3gTFRlLbgypFiKg5go1oaUQgWlbXN06tO3TmmVFfTivZW6Xx9VKJsxDQkGZwCAA4oFsBWk6F74HRLaFHz1H7PqLOx40Rb3KDC3NamJPQvmojaOhJLGMHnHzPqpMEenhjwLRM3ngYuFsvR3P5oJzv7Ogi4Wwh8RanQqy1cacqnw6FQijwwpKw7er0BUvX7sfSm2OA3pVbdOiYjoUy89VPfr4ySRVs4COgsAAJfDPzODvSDEYWQO9EWqYmHPBzIB+5rslESyd87C1mRIxq7qIpINg/OuOgt9PAu+310/0WNg+yQ450Wgs9AjZ4HvOzQNybxdn7RoGUdWsZDmxcGPTSWypyFttbPwSFUsfLIuFto6C3lR0mWaq+MDAACTwz8zg70ghTgISU5fDsmzkPTMPJiaOOruRqkd74mP7VptcE6k6RWQVJQ6W4HIKBb26FmwQgADnYXqd83b7Zvg3Mcbwl20LODjMG/XK0NypyHlx9FZkEIbnItye8XCM7fOiIjoT+tiIehZSKr3/v3LjIjCI1YBAMcLzgpgK0hxXDtUOrV6zwcyAVHPzIOpiaXsLLa23VkwjbjcZTCD2ebWWXDHnl4zigVvgnPkdBYC4W38sz7TkNJggrP2PXj9E4m0DM6rrDh4czNR9TyxnG2bnYUbpzFdW8bKsxCchrSoi4VVpo4PAABMcFoAW6HqLBzAyrknvGg7KM/CzmVI3ebWbR2bbxqSm3ZMtEuDs+lZcALNjPtudBYW+nq+9yIXIfyYQpr5PgZn3qnm5ySU4BwqAJoypNLqqBwqspYhFUVJZbm995IQgl5160R9H7qfk/q99kAVC4f/GgAAhoGzAtgK8simIfFjPYBaQS0ed/369ZIhbStnYeGbhsSafKOzsKNQttbOgnGM7u/iSNJJEs6s8BqcfQnOPeReXBykIc9CvehMAtN1mqFs+XF4FkRlcOb30jYNxU/XJme+Xx9uZwEGZwCAy+GfmcFekGL3mvd9okPZrv5j5kXyrh9LImX/nIWppyGxZ8GahhTuLGx7QWWPTnU9C0ax4Hkeri2T6nc+GZJvdKrnU4Bv1pfuzLjTkBoypPpGFnEzkI2oeowXqT069Rg8C2xwVpkd2ywWHtHFQpvBmagat8vHBwAAJod/ZgZ7YRFLWib+RcIhsq8JQttAeRb2YXDuOCOxQmLqBc01NQ3JDmUjIiuYbVcG50Vfg7Pn+WKztu8QeZe/0+DcJ5TNkSE1Ogv1fS0CBcfpIqaLtZ3gfAzFghSCilJ3d7bbWahMzm2vIxucH6CzAAAIEHdfBIDh/Nh3vpXuXD/pvuCBoGRIdPU/aPcmQ5KyO5Sth5Z+DMrg7Jngk2a6s1DsYDeYyJ2GFPYs+J4Hfiz9DM4BGVKPPAszHI4oPDo1CRQAp0lEF+tMfZ9mZVCydEi4z9s2PQLcWWh7HVm2xtOQjmnkNQCgHygWwFZ422se3fch7BQdyrbnA5mAvcmQehmcq4XN1IemEpw98h9zGtKugqssz4KzgJZSkBBUm2ObC01+LL7XTwhBSSQsz4KvqOCrthVlfBn2dIRGp4YMzmeLiB6mOZVlSUIIWuUF3Vwkwfs7FPh54YJtm/XR07XBue111J6FShKGzgIAwOXwe74A7ABe5B6EZ2FPkqo46u4sKBnS5J4FnobU7CxkpmdhVwbnKCxDMn/mW2i2FQt8212hbPyzds8CF1PcWXBuo/5ByLR8uoioLElNRFofyehU9bzxyNktPuY+MqTTxJ2GdPXPYQCAaTn8MzMAO0AtsA/gL4p373e9aHjsfEGPnC9aL9NHSz8Gr8FZ2os6Ii1D2vbuqxBCdReGegq0DMl/20ks1WMqAp0FnRvSLUPKubMQyIMI+RDO6h3ti3W1o53mBS3iw1+o8nuHi6RtvpfuXF9WHbuWu+BiQU9DOoCTGABgUiBDAmACeFF1CJ6FbQWfdfF3v/0tnZfps4gdgzY4G50FlUnQlCHtooO0jKsOgL+zIImo8B7HtZMenYVcexa8xUKPUDYlQ+pIcG6TIRERPUxzeoSOqLPQkCFt770kpaCnbp7Svcs0eJll4oayXf1zGABgWg7/zAzADtA6/z0fyATw7vquJVU3zxK6edauWY+loFgKNcFlKp555Iz+yjd8Gb3njY+rnyX1Disvhol0Z2EXC6rlyM6CkiEFjjGJJK1r03Ze+C+nbz/8EaHlNPycOLehRqeGZEjVcbLJ+WhGp9ZPt06+3u576VW3TlpfR7ezgGIBAOCCzgIAE6A6CwfgWdCTcPZ8IB7iSNKP/5V30lc8dWPS242koP/6L3yF9TOezJNmzVC2XZhAeZfdp/lvm1ilPQv+213GurNQlH7PAl+3baNfyZBqA3gzwZk9C/4D4UXqQ0uGdATFAncWeHTqlv/QXv/4NXrh7ir4+ySqAjThWQAAhECxAMAE7MsUvA20/2KeD+Yb3nB7J/fDU2LM4LBdBGkxLA/xLd54gdnqWQgUrkkkVQEUmobExW97Z6H6P5zg3M+zwMXCOiuOIsHZlSFtu4P3g9/8JnrlIixDEkLQSSzpwRrTkAAAflAsADABkRrpefU/aPc1OnVu8M63r1jYRTo5dxZ896VM6N4E5+q4QwXNwugs5IU/Z4F/1u5ZqH6nEpyd2+Grtk1DItIG59WxdBaE01nY8uL81tmCbp21Dw44XUSqWEBnAQDgcvhnZgB2AK+HDuFztm0heky4i1kio1jYSWdBkhTtngLf764tK99HqNhr5iw0L9Nn6lSkigX/6FQhKnlL5zSkOmthnRW0PMbOwgxOGqYHCJ0FAIDL4Z+ZAdgB8QF1FvY1DWlu+DoLl/UCb7mDHfBFJINjLHXOgk+GFJYvEVU7/SszwdkrQ6LW26guUxcLeViaFUkRnoaUVI3th+tcFRzHIENSnYUdjE7ty6lRLKCzAABwOfwzMwA7QIey7flAJuCQ/Beb4Oss8OQe/t02WSYyuHBTO/8ecywbnEN16yLWoWxFUXoXq0JUKdG9RqcGEpyJqoVxtwwpU8dzFDIkd3TqDP7QuLMgxWFseAAApuXwz8wA7ABeVB1CzoKUVYjTHBYx++Qktg245tdni+3bvarOQkex0JKzEJKR3ThN6G5teM0D05CIqse/bBlRKztkSETV2M5nHjn1Xv/UMDgfU7GgZEg7Gp3aB+4sIJANAOADBmcAJkCFhR3IZ20s5dEbnKUUdJJIukzNzkJOizi84z8lyzjydg6IOqYhLeLg74iInrh+Qv/y7gtUliWVZVhu9o++5x30+sevBY+Pb79NhvR//ufvDhY85uhU9lAcQ7HgypDmUCycLNqlawCA4wbFAgAToKU7h/Fhy7PXj53TJLI8Cw/XuTLmbptFHPYs8PQtb4KzkiEFioUbS3qwzunuRT1XP3C5d73usdbjU6NTi7AMqW3xH0lBy1jSRZorD8VReBbqJy5V05D2/5hPk+oY5uCfAADMDxQLAEwA76oeit73v/2WN9NXP3Nz34exd84WsSVDukhzOps4PTrE9ZOYThcdBmfPr6+dxLSIJJ0HiponbpwQEdFnXrkgovFGduEYnMdMzzpbRHSxzpUkZxfG8X3DxcJKdRb2eTQVyrOAYgEA4AHFAgAToD0Lh8G3v+2ZfR/CLDhJpNVZuFjnOzE3ExH9p+97A33wHc96f6eLheZKM4kk/W//ydfRlz1+7r3unRtLIiL6zMsX9W2Me9fqBOeqWBhTJ3MxpjwLc1g5bxl+iKnyLOz/MWvPwqGcwQAAU4JiAYAJUONG8Vl7UJwuIrq0DM7ZTszNRERP3Tylp276zcHas+C/7ltefSt4u7qzcFndxshumE5wHp9EfLqI6CLN1G0cgwxJznB06klLWjgAABz+mRmAHRAdmGcBVJwlcWMa0q46C21EGwTncbHw2Q07C+40pDG3c5pERzcNyR2dOodzBr+n51C4AADmx+GfmQHYAfGBeRZAxcnCNjhfpLszOLehDPUjFnfXljGdLyL6LHcWxhYL0i4WxtzM6eIIiwVjQkN6AAAgAElEQVThGJwDE692CY8JDk3fAgAcN4d/ZgZgB2iD854PBEzKqTM6dZfTkNpoy1nowxM3TpRnYaypla/GoWxjCmXX4HwMxcIscxYW4ztVAIDD5/DPzADsAKQeHyaNaUjrnE6T/Vu9lMF55E7wnRtL3VkY7VlwpiGNePOf1Z2b4zI4O9OQZrBAP4VnAQDQwuGfmQHYASqUbQYf/GA6Tho5C9nBdBY+p2RI445BexZYez/8Nk6T+Pg6C3MMZUOCMwCgBZwZAJiAQwtlAxVnjWlI85Ah6dGp44uF9QZTjKrrVf9rz8K4zsLDtZ6GdEydhTkWC3M4FgDA/Nh/Px2AA0DpvvFZe1CcJhE9THMqy5KKspKOzGEaUhyFE5z7cOf6Un296TSktJYhjfE+uAbn5Ag6C9wNWufzGZ2qchZgcAYAeECxAMAEoLNwmJwuIsqLktK8VIu7Q+ksMJsWC/lGMqSIVllBl+nxdRbSWRmc0VkAAIRBsQDABCCU7TDhHdeLdU6rvJIjne4olK2NaA7FQr2uVwbnkTIkIqJXLlIiOg7PwjxlSJiGBAAIs/9PPQAOAISyHSa843qR5rTKqmLhLDmEzoIhQ9pwGlJabDY6lcgoFo6is1D9P69iAZ0FAEAYFAsATIAKZdvzcYBpUZ2FNFd5C3OQIW2S4ExEdOe67iyMz1nYfHQqd2mOqbOgpiHVz9scJhDBswAAaGP/ZykADgAdyoYP20OCOwsP15nKW5iHwXl8gjNR9RhunFQL9dGdBZYhbZDgzIXXyw9TiqQ4ip1tLUOq3k8zqBUMz8IMDgYAMDtwZgBgAhDKdpjwjutlmtPFmjsL+2/Ias/C+Ntg38KmBudNEpz5+X3lYn0UEiQis7PA05D2/7hPYs5ZwAkMANBk/2cpAA4AhLIdJsqzsC7o4TojonnIkKaYvsXFwn5lSNqzkByJBEZNQ8rGd2Smhl8HnL8AAD5QLAAwASwLwWftYcE73w/XmUpynoMMiRecm+xK36lNzuMNztX/U8mQFvH+n9ddoGRIeUGRFLOQLi5rrwg6CwAAHygWAJgA3pGbwwc/mA5zGtLD9XwMzkkt2dmnDEkIQUIQZcX4JGhVLFykasF66CgZUlbMxqMhhKDTJKLoSLo7AIBhHMfZGYAtwzu8M/nsBxNhehZUsZDMx7OwkQypTnHeZMEqhdAJzmM8C7X/Y50VRydDWmfFrHbyTxI5q+MBAMwHFAsATAByFg6TMzUNKaeL2rMwBxnSpjkLRGZnYfxxmBKmUTIkI7PiGMamEunnbJ0XswpBu36SKKMzAACY7H+LDIADgBdtM/rsBxNwktgypFiKWSxqVXG6QbHwjW98nH7gm15Pb3765ujbMN/vmxiciY6oWDA6KHOS/fz9D76Vbl9bdl8QAHB0oFgAYAKmmE4D5scyliQE0cW6Khbm0FUg0u+3TWQj15Yx/dAHnt/oOMz3+xi/Dj+/ZXkc6c1EdjdmTp2Fr3n2kX0fAgBgphzH2RmALSPRWThIhBB0lkR0sa5yFuZgbibaPMF5KrhW2cQkzVKk5EiKBXOA1VwMzgAA0MZxnJ0B2DLoLBwup4uokiGl+SwC2YiM99ueF5tSve/H3wabnI9GhmScI2AoBgBcBY7j7AzAllGjU/d8HGB6ThfcWcjUdKR9E01gcJ6CKUYGc7fmWEanmq/Zvos9AADow3GcnQHYMhzKhg//w+M0iZTBeS4yJPV+m4sMaYJi4VhkSJxPQYTOAgDganAcZ2cAtozeYd3zgYDJMYuF+Ric55G4G00iQ6qe02ORIRHp4mrfnSEAAOjD8ZydAdgi8CwcLqeLqM5ZmE9nYS4yJJYfbdJRY2nXsUxDItLP175fPwAA6MPxnJ0B2CIqZ2HPxwGm5zSJqgTnNJuNwfnr3/AY/bVvej296cnrez0OXutuUiSfHXVn4XgeMwDg6oIzFQATgATnw0UbnOcjQ7pxktB/+YHn967z50XvFNOQ9v1YdgmfL/YtIwMAgD4cz9kZgC0ST6DdBvPkNInpYR3KdjaTaUhzQUygvefn9FimIREZHRmcMAAAV4DjOTsDsEV0KBs+/A+N04WkizSni3Q+noW5wCqaTd73x2hwjqN5GNQBAKAPx3N2BmCLxKpY2POBgMk5TSJ6+eGaylJLZkAFy+4wOnUYUzxvAACwK47n7AzAFpECnoVD5XQRU1FWX6OzYDOJZyE5vs4C10WYhgQAuAocz9kZgC2iQ7L2fCBgcszU5rkYnOcC18aTyJCOqLPARRafNwAAYM4cz9kZgC0SCXgWDpXTRJ8m0VmwkVMYnGtp1zF1FiSmpwEArhDHc3YGYItE8CwcLGa2AooFmykSnM+OsbOA0akAgCvE8ZydAdgiyFk4XE6MAuE0gcHZREzg1TnGaUjRBB0ZAADYFcdzdgZgi/AoREw3OTzMbAV0FmymyAs4xgRnfr5QLAAArgLYJgNgAq4tY/rb3/pmet/zd/Z9KGBiTFMzDM42U8qQjml0KjoLAICrBIoFACbiu971mn0fAtgCJ+Y0JCQ4W0whQ/qqp2/RD3zT6+nrXv/YVIc1eyQ8CwCAKwSKBQAAaMGUHkGGZKNkSBsUC4tY0g994PmJjuhqwE2UTeRbAACwK46n7wsAACM4tTwL2F8xUaFs+CQZhMpZQLEAALgC4BQPAAAtsE9BCKKTBKdME5WzAGP/ICJlcMb7CQAwf3CmAgCAFrhYOE0ihO45TJHgfIzoYmHPBwIAAD3AqQoAAFpgGRL8Ck2mSHA+RqSSIeEjGAAwf3CmAgCAFpJIUiwFxqZ6mGJ06jGCEEcAwFUCxQIAAHRwuojoDOnNDSBDGgcXC3GE5w0AMH9QLAAAQAenSYTOggcYnMcB+RYA4CqBYgEAADo4XUTwLHhQchp8kgxCGZxRZAEArgA4xQMAQAePnC3okfPFvg9jdkwRynaMoLMAALhKQIQLAAAd/Nh3vpWWyFhowF4FFAvD4JGpCGUDAFwFUCwAAEAHr719vu9DmCUqwRlr3kFo+RaeOADA/MFWGQAAgFGwVwFymmHonAU8bwCA+YNiAQAAwChYhoTRqcOIJTwLAICrw15kSEKITxDRPSLKiSgry/LtQohHieh/JaLXEtEniOg7yrL80j6ODwAAQDcRRqeOQqJYAABcIfbZWXhvWZZvLcvy7fX3f5OIPlqW5XNE9NH6ewAAADNFTUNCj3oQEWRIAIArxJxO8d9CRD9ef/3jRPStezwWAAAAHUjIkEahchZQZQEArgD7OlOVRPQvhBD/rxDi++ufPVGW5WeJiOr/7/iuKIT4fiHEx4UQH3/xxRd3dLgAAABcBGRIo9AypD0fCAAA9GBfo1O/oSzLzwgh7hDRLwghfr/vFcuy/AgRfYSI6O1vf3u5rQMEAADQDi92oaYZhvJ6oLMAALgC7OVMVZblZ+r/XyCif0ZE7ySizwshniIiqv9/YR/HBgAAoB8sQ0JewDAidBYAAFeInZ+qhBDnQojr/DUR/ftE9NtE9HNE9KH6Yh8iop/d9bEBAADoDxKcxyHRWQAAXCH2IUN6goj+Wf0hExPRT5Zl+fNCiI8R0U8LIb6XiD5JRH9pD8cGAACgJ5AhjYOfN0xDAgBcBXZeLJRl+cdE9BbPz79IRO/f9fEAAAAYh94hx6J3CCzbQkcGAHAVQA8UAADAKDA6dRzIWQAAXCVQLAAAABiFxOjUUXCREEV43gAA8wfFAgAAgFGoBGeseQehchZQZAEArgAoFgAAAIyCF72QIQ0DMiQAwFUCxQIAAIBRwOA8Dp3gjOcNADB/UCwAAAAYBWRI44hQLAAArhAoFgAAAIxCIpRtFBE6MgCAKwSKBQAAAKNQnQUsegfBz1eMBGcAwBUAZyoAAACj0OFiez6QK0akiqz9HgcAAPQBpyoAAACjQM7COCJ0FgAAVwicqQAAAIyCOwoYnToMPQ1pzwcCAAA9wKkKAADAKLQMCcXCELTBGR/BAID5gzMVAACAUeichT0fyBXjbBlX/y+iPR8JAAB0g1M8AACAUUCGNI5v/son6Ce/78/REzdO9n0oAADQCYoFAAAAo0CC8ziWcURf//rb+z4MAADoBYoFAAAAo9ChbHs+EAAAAFsDxQIAAIBRqFA2yJAAAOBgQbEAAABgFBGmIQEAwMGDYgEAAMAoBGRIAABw8KBYAAAAMAoYnAEA4PBBsQAAAGAUGJ0KAACHD4oFAAAAo0CCMwAAHD4oFgAAAIwCCc4AAHD44BQPAABgFJAhAQDA4YNiAQAAwCjY2ByhWAAAgIMFxQIAAIBRqNGp+CQBAICDBad4AAAAo0CCMwAAHD4oFgAAAIwiEpiGBAAAhw6KBQAAAKMQKBYAAODgQbEAAABgFCxDwuhUAAA4XHCKBwAAMAqehoTRqQAAcLigWAAAADAKCRkSAAAcPCgWAAAAjEJAhgQAAAcPTvEAAABGwR0FyJAAAOBwQbEAAABgFEhwBgCAwwfFAgAAgFEIhLIBAMDBg2IBAADAKB49XxAR0SPnyZ6PBAAAwLaI930AAAAAribPP3nj/2/v/oM9q+v7jj9fgTXmhwosBIz8ckARjVFBrTY1s4CNsRroWIK048RNTGp1oqVJKqntdGg6zSBxMqlObcZEq0QbA2jU+AuMCtbEnyBWEQhNBVmERmCJMEaL5d0/vme51+sX3rtXds/hfJ+PmTvzvefsvfue594f+/mec76HT5x9Eocf+MNjjyJJ2ks8siBJ2jQXCpI0by4WJEmSJC3lYkGSJEnSUi4WJEmSJC3lYkGSJEnSUi4WJEmSJC3lYkGSJEnSUi4WJEmSJC3lYkGSJEnSUi4WJEmSJC3lYkGSJEnSUi4WJEmSJC3lYkGSJEnSUi4WJEmSJC3lYkGSJEnSUi4WJEmSJC3lYkGSJEnSUi4WJEmSJC3lYkGSJEnSUi4WJEmSJC3lYkGSJEnSUi4WJEmSJC3lYkGSJEnSUi4WJEmSJC3lYkGSJEnSUi4WJEmSJC2Vqhp7hk1L8nXghk186MHArQ/wOHNjo56Nejbq2ahno56Nejbq2ag350ZHVdUhGzc+qBcLm5Xkc1X11LHnmDIb9WzUs1HPRj0b9WzUs1HPRr1VbORpSJIkSZKWcrEgSZIkaalVXSy8cewBHgRs1LNRz0Y9G/Vs1LNRz0Y9G/VWrtFKXrMgSZIkqbeqRxYkSZIkNVwsSJIkSVpq/7EH2NuSBHg68CiggK8BnynPv7qXjXo26tmoZ6OejXo26tmoZ6OejRZmfc1Ckp8B3gBcB9w0bD4cOBZ4eVVdMtZsU2Gjno16NurZqGejno16NurZqGejNXNfLFwNPLeqrt+w/dHAB6rq+FEGmxAb9WzUs1HPRj0b9WzUs1HPRj0brZn7NQv7AzuWbL8J2LKPZ5kqG/Vs1LNRz0Y9G/Vs1LNRz0Y9Gw3mfs3Cm4HPJnkHcOOw7QjgTOBNo001LTbq2ahno56Nejbq2ahno56NejYazPo0JIAkjwdOZXFxSlisEt9bVV8edbAJsVHPRj0b9WzUs1HPRj0b9WzUs9HC7BcLkiRJkjZn1tcsJHlEknOTXJPktuHt6mHbAWPPNwU26tmoZ6OejXo26tmoZ6OejXo2WjPrxQJwAbAT2FZVW6tqK3AScAdw4aiTTYeNejbq2ahno56Nejbq2ahno56NBrM+DSnJtVV13J7uWyU26tmoZ6OejXo26tmoZ6OejXo2WjP3Iws3JHlVkkN3bUhyaJKzWbuyfdXZqGejno16NurZqGejno16NurZaDD3xcILga3AZUl2JrkduBQ4CDhjzMEmxEY9G/Vs1LNRz0Y9G/Vs1LNRz0aDWZ+GJEmSJGnz5n5k4V5JTri/92Wj3WGjno16NurZqGejno16NuqteqOVWSwAL2vel412h416NurZqGejno16NurZqLfSjTwNSZIkSdJS+489wN6WJMDTWdyqu4CvAZ8pV0n3slHPRj0b9WzUs1HPRj0b9WzUs9HCrI8sJPkZ4A3AdcBNw+bDgWOBl1fVJWPNNhU26tmoZ6OejXo26tmoZ6OejXo2WjP3xcLVwHOr6voN2x8NfKCqjh9lsAmxUc9GPRv1bNSzUc9GPRv1bNSz0Zq5X+C8P7BjyfabgC37eJapslHPRj0b9WzUs1HPRj0b9WzUs9Fg7tcsvBn4bJJ3sHa3vSOAM4E3jTbVtNioZ6OejXo26tmoZ6OejXo26tloMOvTkACSPB44lcXFKWGxSnxvVX151MEmxEY9G/Vs1LNRz0Y9G/Vs1LNRz0YLs18sSJIkSdqcWV+zkOQRSc5Nck2S24a3q4dtB4w93xTYqGejno16NurZqGejno16NurZaM2sFwvABcBOYFtVba2qrcBJwB3AhaNONh026tmoZ6OejXo26tmoZ6OejXo2Gsz6NKQk11bVcXu6b5XYqGejno16NurZqGejno16NurZaM3cjyzckORVSQ7dtSHJoUnOZu3K9lVno56Nejbq2ahno56Nejbq2ahno8HcFwsvBLYClyW5PcntwKXAQcAZYw42ITbq2ahno56Nejbq2ahno56NejYazPo0JEmSJEmbN/cjC5IkSZI2ycWCJEmSpKVcLEiSJElaataLhSSnJnno2HNMWZIjdzXKwi8meX2SlyXZf+z5psBGey7Jo5O8IMnjxp5lqmy0e5L89tgzTE2Sw5IcNjw+ZPg6esLYc02JjXpJHp7kmCXbf3KMeabIRguzXiwAfwLsSPJHSf5Rkv3GHmiCPsDa18G5wPOATwNPA9441lATY6NGkneve3wa8FHg54D3JNk+1lxTYqNektdteHs98PJd74893xQkeSnwSeBTSV4GvA94PvCuJC8ZdbiJsFEvyRnANcA7k1yV5Gnrdr9lnKmmxUZr5v6s6DXAycDpwK8D/y3JnwJ/XFWXjTrZdPxAVX1zePxs4GlVdQ/wtiRfGHGuKbFR76h1j88GTq6qryQ5GPgIK/aD9T7YqPcCFi9NeAmQYduZwOVjDTRBvwo8Afgh4Abg2Kq6JcmBwMeAN4053ETYqPdq4MSqujnJ04E/SvLqqnoXa997q85Gg7kfWaiq2llVf1BVpwBPAr4MnJtkpW6ocT9uTHLy8Ph64AiAJFtHm2h6bNRb/xrM+1fVVwCq6lbgnnFGmhwb9Y4HbgV+FvjzqnorcGdVvXV4LLi7qr5ZVbcBf11VtwBU1U6++2tsldmot19V3QxQVZ8BTgL+bZJXYqNdbDSY+5GF71r5DT8wXge8LslRyz9k5fwycH6Sc4C/Ba5M8nngQODXxhxsQmzUe1KSb7D4nvvBJIcNz+Q9BPD0vwUbNarqTuCsJCeyOHL3fub/pNaeuifJlqq6m8UpkQAM11XZasFGvTuTHFNVfw0wPHu+DXg3i6MystG9Zn1TtiTbqurSsed4MEhyPPBYFgvIHcBnh1NtNLDRnktyAHB8VX1y7FmmykbLJQnwcuCZVfWiseeZiiRHAjcP/xFev/1RLL6O/nycyabDRr0kTwK+WVXXbdi+BTijqt4+zmTTYaM1s14sSJIkSdq8WR+OS3JEknck+R9JXj2sBnfte/f9feyqsFHPRj0b9WzUs1HPRj0b9WzUs9GaWS8WgDezeGWNVwCPBC5bd1Gq1yws2Khno56Nejbq2ahno56Nejbq2Wgw9wucD6mq3x8evyLJi4CPJzmVFbuS/X7YqGejno16NurZqGejno16NurZaDD3xcKWJA+tqm8BVNXbktwCXAz8yLijTYaNejbq2ahno56Nejbq2ahno56NBnM/DekPgb+3fsPwKgg/D3xplImmx0Y9G/Vs1LNRz0Y9G/Vs1LNRz0YDXw1JkiRJ0lJzP7LwPZJcMfYMU2ejno16NurZqGejno16NurZqLeqjVZuscCGuzprKRv1bNSzUc9GPRv1bNSzUc9GvZVstIqLhfePPcCDgI16NurZqGejno16NurZqGej3ko28poFfY8kJ1TVSh5q0wMjycOBxwD/u6p2jj2PHrySHFxVt449xxQlORD4TlXdOfYsU5XkIKD8OSRt3qyPLCR5XJIPJnl/kmOSvCXJHUk+k+T4seebgiQnbHg7EXhvkqckOWHs+aYgyS+te3x4ko8k2ZnkL5M8dszZpiLJ25IcPDx+DnAV8BrgyiQ/P+pwE5Hk9iR/mOSUJCt5KLuT5LlJvpLkE8PPoKuATyfZkeSUseebgiQ/nuT8JH8L3ApcleSrSc5Zf4fZVZbkyOHOu18HPg18NsnfDNuOHne66UvyxbFnmIJ4B+d7zfrIQpKPA78D/ChwLnA28CfA84Gzqmrlf/kkuQf4FPDtdZufMWyrqjp5lMEmJMkVVXXC8PgC4CPAHwCnAb/q19Hil0tVPXF4/JfAP6uq64cFxEeq6knjTji+JNcCrwf+KXA0cBHwx1X1qTHnmpIkV7LocwDwPuB5VfWp4cmdt+/6PlxlST4K/FZVXZrkBcCzgH8H/Bvgx6rqn4864AQk+STwe8BFVfX/hm37sXjJy7Oq6hljzjcFw9fO0l3A71fVIftynilK8mHgnSz+P/QS4ETg56rqtiSfr6qnjDrgPjT3xcK9/5hJ/ldVHbtu3xX+4oEkp7O4lflrquoDw7avVNWjx51sOjYsFq6sqiev27dSPzDuy/AM8DOr6htJPgH8dFXds2tfVT1h3AnHt+Hr6EjgzOHtAOAdVfXqMeebgg2NbqyqI9bt+67vvVWV5AvrF99JLq+qE4fH11TV48abbhqSXFdVj9nTfaskyd3A21l+J+LTq+ph+3ikyVny+/5FLBblpwIXrtL/Ied+B+f91j3+3Q37HrIvB5mqqrooyYeA/5jkF4FfZ8VuY74bDk/yOhbPuBySZEtV3T3s87D/wn8APpbkvwB/AVyY5D3AycCHRp1sOu499aiqvgqcB5yX5DgWiwbBHUleCjwc2JnkXwEXAM8G7hp1sun4+vCflo8C/wS4HmA4tW3WpxbvgcuTvAF4K3DjsO0I4MXA50ebalr+J/Daqvqem4slefYI80yRd3AezP3IwktZHLq+a8P2Y1mcPnLWOJNNU5KnsFhU/YSHINckefGGTe+tqp1JDgNe6TPCC8P31a8Aj2XxRMQO4N1VdfGog01Ekt+tql8be44pS3IEi1NqCjiHxSlJLwFuAH6jqq4eb7ppGI5KvRZ4PHAl8K+r6uYkW4FtVfXOUQecgCQPYfF1cxrwKBYL9RuBPwPeVFXfvp8PXwlJngXcMDxxsXHfU6vqcyOMNSnDkxVXVNVlG7Y/BTivqv7hOJPte7NeLGjPDc9OPayqvjH2LJIkSRrX7BcLwyuz/GMWzy4U8DXgPVXlqREDG/Vs1LNRz0a9+2jkEap1/DravCT/vqp+a+w5psxGvVVrNOvFQpLfY3FKxPksTokAOBz4BeC6qvqXY802FTbq2ahno56Nejbq2ej7k+SrVXXk2HNMmY16q9Zo7ouFv6qq73kd/OFUm7/yFRFstDts1LNRz0Y9G/Vs1EtyX6fRBvihqpr7i7u0bNSz0Zq5v3LCt5I8fcn2pwHf2tfDTJSNejbq2ahno56Nejbq3QE8pqoevuHtYcDNYw83ETbq2Wgw91XRduC/JnkYa4drjwC+MeyTjXbHdmzU2Y6NOtuxUWc7Nupsx0ad84GjgP+zZN9/38ezTJWNejYazPo0pF2Gl7jc9fJpO6rqlpFHmhwb9WzUs1HPRj0b9WwkaV+Z+2lIAFTVLVV1+fC6wf9i7HmmyEY9G/Vs1LNRz0Y9G+2ZJOeMPcPU2ai3qo1WYrGwwaljD/AgYKOejXo26tmoZ6OejXo26tmot5KNVnGxkLEHeBCwUc9GPRv1bNSzUc9GPRv1bNRbyUYrcc3Cekl+oKruGXuOKbNRz0Y9G/Vs1LNRz0Y9G/Vs1FvVRrNfLHiny56Nejbq2ahno56Nejbq2ahno56NFma9WPBOlz0b9WzUs1HPRj0b9WzUs1HPRj0brZn7YsE7XTZs1LNRz0Y9G/Vs1LNRz0Y9G/VstGbuFzh7p8uejXo26tmoZ6OejXo26tmoZ6OejQbewVnbsVFnOzbqbMdGne3YqLMdG3W2Y6POdmzU2Y6NOtuxETDz05B28U6XPRv1bNSzUc9GPRv1bNSzUc9GPRutzmJhS1XdvWHbwVV161gzTY2Nejbq2ahno56Nejbq2ahno56NZn7NQpKTkuwAvpbkkiRHr9t9yThTTYuNejbq2ahno56Nejbq2ahno56N1sx6sQCcBzynqg4B3gh8OMkzhn0reRe+JWzUs1HPRj0b9WzUs1HPRj0b9Ww0mPsFzg+pqqsAquqiJFcD70rymyxuriEb7Q4b9WzUs1HPRj0b9WzUs1HPRoO5LxbuTnLYrotRquqqJKcA7wOOGXe0ybBRz0Y9G/Vs1LNRz0Y9G/Vs1LPRYO6nIf0mcOj6DVW1A9gGnDvGQBNko56Nejbq2ahno56Nejbq2ahno8FKvBqSJEmSpD036yMLSR6R5Nwk1yS5bXi7eth2wNjzTYGNejbq2ahno56Nejbq2ahno56N1sx6sQBcAOwEtlXV1qraCpw0bLtw1Mmmw0Y9G/Vs1LNRz0Y9G/Vs1LNRz0aDWZ+GlOTaqjpuT/etEhv1bNSzUc9GPRv1bNSzUc9GPRutmfuRhRuSvCrJvReoJDk0ydnAjSPONSU26tmoZ6OejXo26tmoZ6OejXo2Gsx9sfBCYCtwWZLbk9wOXAocBJwx5mATYqOejXo26tmoZ6OejXo26tmoZ6PBrE9DkiRJkrR5cz+yQJLHJTklyY9s2P6zY800NTbq2ahno56Nejbq2ahno56NejZamPViIckrgfcArwCuSnLaut2/Pc5U02Kjno16NurZqGejno16NurZqGejNfuPPcBe9ivAiVV1V5KjgYuSHF1V/xnIqJNNh416NurZqGejno16NurZqGejno0Gc4a8hrkAAALcSURBVF8s7FdVdwFU1fVJtrH4xz6KFfuHvh826tmoZ6OejXo26tmoZ6OejXo2Gsz6NCTgliRP3vXO8I/+fOBg4ImjTTUtNurZqGejno16NurZqGejno16NhrM+tWQkhwOfKeqblmy76eq6i9GGGtSbNSzUc9GPRv1bNSzUc9GPRv1bLRm1osFSZIkSZs399OQJEmSJG2SiwVJkiRJS7lYkCRJkrSUiwVJWnFJtia5cni7JclNw+O7krxhL/2dZyX5heHxpUmeum7f0Um+lOQ56+a6K8m1w+PzkzwxyVv2xmySpDVzv8+CJKlRVbcBTwZIcg5wV1W9dm/9fUn2B34JOKGZ62Lg4uFjLgV+o6o+t+7zHJ7kyKr66t6aVZJWnUcWJElLJdmW5H3D43OSvDXJJUmuT/KCJOcl+WKSDyXZMvy5E5NcluTyJBcneeSST30ycEVVfef7HPHPgDO/z88hSbofLhYkSbvrGOB5wGnA24CPVdUTgb8DnjcsGF4PnF5VJwJvBv7Tks/zU8DlD8A8nwOe9QB8HknSffA0JEnS7vpgVd2d5IvAfsCHhu1fBI4GjgN+AvhwEoY/c/OSz/NI4Op17y+74c/u3ATob4Af363JJUmb4mJBkrS7vg1QVfckubvW7up5D4vfJwGuqqpnNp/n74CHrnv/NuDAde8fBNy6G/M8dPhckqS9xNOQJEkPlGuBQ5I8EyDJliRPWPLnrgaOXff+pcCLMhyOAF4MfGw3/r7HAl/a/LiSpI6LBUnSA6Kq/i9wOvCaJF8ArgT+/pI/+kHgp9e9/0bgTuALw8f9KLA7r8Z0EvD+72toSdL9ytpRZEmS9o0kfwq8qqqu2+TH/yBwGfAPHoBXVZIk3QcXC5KkfS7JccChVfXxTX78Y4BHVdWlD+hgkqTv4mJBkiRJ0lJesyBJkiRpKRcLkiRJkpZysSBJkiRpKRcLkiRJkpZysSBJkiRpqf8PwUO0FFI7q7YAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 936x792 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(13,11))\n",
    "plt.plot(daily_data['timestamp (UTC)'], daily_data['radiation AVG (W/m2)'])\n",
    "time = np.arange(0,280, 30)\n",
    "#time_label = ('10:00','16:00','22:00','4:00')\n",
    "#plt.xticks(time,time_label)\n",
    "plt.xticks(time,rotation=90)\n",
    "plt.title('Solar radiation')\n",
    "plt.ylabel('Solar Radiation (Wm2)')\n",
    "plt.xlabel('Time (UT)')\n",
    "plt.savefig('daily_radiation.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "#subplots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Time (UT)')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x792 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(13,11))\n",
    "plt.subplot(2,1,1)\n",
    "plt.plot(daily_data['timestamp (UTC)'], daily_data['temperature AVG (degrees Celsius)'])\n",
    "time = np.arange(0,280, 30)\n",
    "#time_label = ('10:00','16:00','22:00','4:00')\n",
    "#plt.xticks(time,time_label)\n",
    "plt.xticks(time,rotation=90)\n",
    "plt.title('Solar radiation and Temperature')\n",
    "plt.ylabel('Temperature AVG (degrees Celsius)')\n",
    "plt.xlabel('Time (UT)')\n",
    "\n",
    "plt.subplot(2,1,2)\n",
    "plt.plot(daily_data['timestamp (UTC)'], daily_data['radiation AVG (W/m2)'])\n",
    "time = np.arange(0,280, 30)\n",
    "#time_label = ('10:00','16:00','22:00','4:00')\n",
    "#plt.xticks(time,time_label)\n",
    "plt.xticks(time,rotation=90)\n",
    "plt.ylabel('Solar Radiation (Wm2)')\n",
    "plt.xlabel('Time (UT)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "#let us make it neater"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x792 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(13,11))\n",
    "plt.subplot(2,1,1)\n",
    "plt.plot(daily_data['timestamp (UTC)'], daily_data['temperature AVG (degrees Celsius)'])\n",
    "time = np.arange(0,280, 30)\n",
    "time_label = ('','','','','','','','','')\n",
    "plt.xticks(time,time_label)\n",
    "plt.title('Solar radiation and Temperature')\n",
    "plt.ylabel('Temperature AVG (degrees Celsius)')\n",
    "#plt.xlabel('Time (UT)')\n",
    "\n",
    "plt.subplot(2,1,2)\n",
    "plt.plot(daily_data['timestamp (UTC)'], daily_data['radiation AVG (W/m2)'])\n",
    "time = np.arange(0,280, 30)\n",
    "#time_label = ('10:00','16:00','22:00','4:00')\n",
    "#plt.xticks(time,time_label)\n",
    "plt.xticks(time,rotation=90)\n",
    "plt.ylabel('Solar Radiation (Wm2)')\n",
    "plt.xlabel('Time (UT)')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(7,10))\n",
    "plt.subplot(2,1,1)\n",
    "plt.plot(daily_data['timestamp (UTC)'], daily_data['temperature AVG (degrees Celsius)'])\n",
    "time = np.arange(0,280, 30)\n",
    "time_label = ('','','','','','','','','')\n",
    "plt.xticks(time,time_label)\n",
    "plt.title('Solar radiation and Temperature')\n",
    "plt.ylabel('Temperature AVG (degrees Celsius)')\n",
    "#plt.xlabel('Time (UT)')\n",
    "\n",
    "plt.subplot(2,1,2)\n",
    "plt.plot(daily_data['timestamp (UTC)'], daily_data['radiation AVG (W/m2)'])\n",
    "time = np.arange(0,280, 30)\n",
    "#time_label = ('10:00','16:00','22:00','4:00')\n",
    "#plt.xticks(time,time_label)\n",
    "plt.xticks(time,rotation=90)\n",
    "plt.ylabel('Solar Radiation (Wm2)')\n",
    "plt.xlabel('Time (UT)')\n",
    "plt.savefig('daily_radiation_temperature.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "#activity: modify the function to provide the total daily radiation and plot the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#activity: extract more data and plot "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# machine learning"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}