{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "11245356",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "265.302\n"
     ]
    }
   ],
   "source": [
    "value = 250\n",
    "interest_rate = 2\n",
    "years = 3\n",
    "result = value*(1+interest_rate/100)**years\n",
    "print(result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7c4e6c5b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "int"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "fbb7209f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "float"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "cf91bed2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The compound interest is: 15.302000000000021\n"
     ]
    }
   ],
   "source": [
    "print(\"The compound interest is:\", result - value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "98076bb5",
   "metadata": {},
   "outputs": [],
   "source": [
    "output_text = \"The compound interest is:\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "723f37e8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "str"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(output_text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f4fff1c8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The compound interest is: 15.302000000000021\n"
     ]
    }
   ],
   "source": [
    "print(output_text, result - value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "22ee249e",
   "metadata": {},
   "outputs": [],
   "source": [
    "interest_rates = [.5, 1,2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "610e8d73",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "list"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(interest_rates)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "8031da5f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "interest_rates[2]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3bdb8782",
   "metadata": {},
   "source": [
    "This is an explanation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "660ded1c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "253.7687812499999\n",
      "257.57525000000004\n",
      "265.302\n"
     ]
    }
   ],
   "source": [
    "print(value*(1+interest_rates[0]/100)**years)\n",
    "print(value*(1+interest_rates[1]/100)**years)\n",
    "print(value*(1+interest_rates[2]/100)**years)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "fd1b9dc1",
   "metadata": {},
   "outputs": [],
   "source": [
    "low, medium, high = interest_rates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "40aedf4c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "low"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "0cd14721",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "medium"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "9b7e467f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "high"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "b31d83dd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(interest_rates)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "974dc9d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "25"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(output_text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "4b2dcc06",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "' '"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "output_text[3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "d4cb4e62",
   "metadata": {},
   "outputs": [],
   "source": [
    "my_bool = value > 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "935fa70a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "bool"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(my_bool)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "8c536aa2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "builtin_function_or_method"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(print)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "ca8e8501",
   "metadata": {},
   "outputs": [],
   "source": [
    "rounded_result = round(result, 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "1111fbed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "265.3"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rounded_result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "d806c844",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "265.302\n"
     ]
    }
   ],
   "source": [
    "p = print(result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "a04de132",
   "metadata": {},
   "outputs": [],
   "source": [
    "p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "f301c701",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "None\n"
     ]
    }
   ],
   "source": [
    "print(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "f2f34b12",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "NoneType"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "700e59c5",
   "metadata": {},
   "outputs": [],
   "source": [
    "a = None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "eb7d35bb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Copyright (c) 2001-2024 Python Software Foundation.\n",
      "All Rights Reserved.\n",
      "\n",
      "Copyright (c) 2000 BeOpen.com.\n",
      "All Rights Reserved.\n",
      "\n",
      "Copyright (c) 1995-2001 Corporation for National Research Initiatives.\n",
      "All Rights Reserved.\n",
      "\n",
      "Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam.\n",
      "All Rights Reserved."
     ]
    }
   ],
   "source": [
    "copyright()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "b99314e1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "4625cc24",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.float64(3.0)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "numpy.sqrt(9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "489b2609",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "8111b5e3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.float64(2.0)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sqrt(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "83bcd444",
   "metadata": {},
   "outputs": [],
   "source": [
    "from numpy import sqrt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "65cd792d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.float64(4.0)"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sqrt(16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "bfe43816",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1, 2, 3)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(1,2,3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "cb5285a5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "#python row index,country\r\n",
      "0,Austria\r\n",
      "1,Belgium\r\n",
      "2,Bulgaria\r\n",
      "3,Croatia\r\n",
      "4,Cyprus\r\n",
      "5,Czechia\r\n",
      "6,Denmark\r\n",
      "7,Estonia\r\n",
      "8,Finland\r\n",
      "9,France\r\n",
      "10,Germany\r\n",
      "11,Greece\r\n",
      "12,Hungary\r\n",
      "13,Ireland\r\n",
      "14,Italy\r\n",
      "15,Latvia\r\n",
      "16,Lithuania\r\n",
      "17,Luxembourg\r\n",
      "18,Malta\r\n",
      "19,Netherlands\r\n",
      "20,Poland\r\n",
      "21,Portugal\r\n",
      "22,Romania\r\n",
      "23,Slovak Republic\r\n",
      "24,Slovenia\r\n",
      "25,Spain\r\n",
      "26,Sweden\r\n",
      "27,United Kingdom\r\n"
     ]
    }
   ],
   "source": [
    "!cat data/countries-europe.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "a18d3637",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "198ab050",
   "metadata": {},
   "outputs": [],
   "source": [
    "refugees = np.loadtxt(\"data/refugees-europe_0.txt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "8467a015",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.ndarray"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(refugees)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "650f3691",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 10816.,   9796.,   9242.,  50266.,  73058.,  74298.,  64712.,\n",
       "        66601.,   5440.,   6004.,   6813.,   8541.,  10031.,  12812.,\n",
       "        15668.,  20674.,  26870.,  38061.,  47059.,  54962.,  56402.,\n",
       "        58066.,  64782.,  76248.,  93712., 118036., 147362., 167330.,\n",
       "       189227., 207602., 128033., 144862., 296181.])"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "refugees[14]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "99e2b734",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "538bcadb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(refugees[14])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "a01fcef0",
   "metadata": {},
   "outputs": [],
   "source": [
    "num = 42"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "e4634715",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num.is_integer()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "a86b79f4",
   "metadata": {},
   "outputs": [],
   "source": [
    "f = 42.1\n",
    "f1 = 42"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "90594340",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(False, True)"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f.is_integer(), f1.is_integer()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "09967465",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'<function loadtxt at 0x7f3f28ce63e0>'"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.loadtxt.__str__()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "26a982af",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1, 2], 3]\n"
     ]
    }
   ],
   "source": [
    "from copy import deepcopy\n",
    "\n",
    "my_list = [[1,2],3]\n",
    "my_other_list = deepcopy(my_list)\n",
    "my_list[0][1] = 0\n",
    "print(my_other_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "5d4f235b",
   "metadata": {},
   "outputs": [],
   "source": [
    "my_string = \"hello world\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "03e00319",
   "metadata": {},
   "outputs": [],
   "source": [
    "my_other_string = my_string"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "d662dbfe",
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "'str' object does not support item assignment",
     "output_type": "error",
     "traceback": [
      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
      "\u001b[31mTypeError\u001b[39m                                 Traceback (most recent call last)",
      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[77]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m \u001b[43mmy_other_string\u001b[49m\u001b[43m[\u001b[49m\u001b[32;43m0\u001b[39;49m\u001b[43m]\u001b[49m = \u001b[33m\"\u001b[39m\u001b[33mH\u001b[39m\u001b[33m\"\u001b[39m\n",
      "\u001b[31mTypeError\u001b[39m: 'str' object does not support item assignment"
     ]
    }
   ],
   "source": [
    "my_other_string = \"H\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "9943911a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "3fbd02b4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "years = [1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022]\n",
    "figure = plt.figure()\n",
    "axes = figure.subplots()\n",
    "axes.plot(years, refugees[14], \"o\")\n",
    "axes.plot(years, refugees[14], \"r-\")\n",
    "axes.set_xlabel(\"year\")\n",
    "axes.set_ylabel(\"refugrees\")\n",
    "#axes.set_ylim(0, max(refugees[14])*1.05)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "48e2ad10",
   "metadata": {},
   "outputs": [],
   "source": [
    "#help(axes.plot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "8b504d0b",
   "metadata": {},
   "outputs": [],
   "source": [
    "axes.plot?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "01b71b16",
   "metadata": {},
   "outputs": [],
   "source": [
    "test_array = np.array([\n",
    "    [1,2,3,4,5],\n",
    "    [6,7,8,9,10]\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "70843bf3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 1,  2,  3,  4,  5],\n",
       "       [ 6,  7,  8,  9, 10]])"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "6763eda4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[1, 2, 3, 4, 5], [6, 7, 8, 9, 10]]"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[\n",
    "    [1,2,3,4,5],\n",
    "    [6,7,8,9,10]\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "d55e6645",
   "metadata": {},
   "outputs": [],
   "source": [
    "my_slice = test_array[:,::2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "6bed192c",
   "metadata": {},
   "outputs": [],
   "source": [
    "test_array[0,-1] = 11"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "75371c63",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 1,  3, 11],\n",
       "       [ 6,  8, 10]])"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_slice"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "89fa696c",
   "metadata": {},
   "outputs": [],
   "source": [
    "my_slice[:,:] = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "0c0b2499",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 1,  2,  3,  4,  5],\n",
       "       [ 6,  7,  8,  9, 10]])"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "20f7fd81",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 6,  1],\n",
       "       [ 7,  2],\n",
       "       [10,  5]])"
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_array[[1,0],[[0,0],[1,1],[4,4]]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "id": "225bc45c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 0],\n",
       "       [1, 0],\n",
       "       [1, 0]])"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.array([[1,0],[1,0],[1,0]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "id": "8960b0f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "mask = np.array([[True, False, True, False, True], [True, False, True, False, True]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "c6750d67",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ True, False,  True, False,  True],\n",
       "       [ True, False,  True, False,  True]])"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mask"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "id": "cccc89de",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 1,  3,  5,  6,  8, 10])"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_array[mask]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "id": "444f4d12",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(28, 33)"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "refugees.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "id": "0ea06fc7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 66310.72727273,  31423.84848485,  11802.78787879,  44364.12121212,\n",
       "         4143.06060606,  15333.72727273,  43309.45454545,   1310.24242424,\n",
       "        13929.27272727, 225212.12121212, 900264.78787879,  22927.39393939,\n",
       "        10678.63636364,   7301.36363636,  71502.03030303,   1323.09090909,\n",
       "         2674.24242424,   2142.84848485,   3962.87878788,  97492.21212121,\n",
       "        35981.39393939,   2590.21212121,   4901.81818182,   3546.84848485,\n",
       "         6578.51515152,  23990.48484848, 154282.54545455, 171312.33333333])"
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.mean(refugees,axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "id": "4f51eae3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1.        , 1.41421356, 1.73205081, 2.        , 2.23606798],\n",
       "       [2.44948974, 2.64575131, 2.82842712, 3.        , 3.16227766]])"
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sqrt(test_array)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "id": "273896d0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import math"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "id": "a3a4375b",
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "only 0-dimensional arrays can be converted to Python scalars",
     "output_type": "error",
     "traceback": [
      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
      "\u001b[31mTypeError\u001b[39m                                 Traceback (most recent call last)",
      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[154]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m \u001b[43mmath\u001b[49m\u001b[43m.\u001b[49m\u001b[43msqrt\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtest_array\u001b[49m\u001b[43m)\u001b[49m\n",
      "\u001b[31mTypeError\u001b[39m: only 0-dimensional arrays can be converted to Python scalars"
     ]
    }
   ],
   "source": [
    "math.sqrt(test_array)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "id": "d478b02e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, 2, 3, 1, 2, 3]"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[1,2,3]*2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "id": "12cc9700",
   "metadata": {},
   "outputs": [],
   "source": [
    "interest_rates = np.array(interest_rates)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "id": "bab14889",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([256.31281328, 262.75251253, 276.0202008 ])"
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "value*(1+interest_rates/100)**5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "id": "650d80d6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Refugees in Germany')"
      ]
     },
     "execution_count": 161,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "# define data variables\n",
    "years = [1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022]\n",
    "refugees = np.loadtxt(\"data/refugees-europe_0.txt\") # data from World Bank\n",
    "\n",
    "# create axes object\n",
    "figure = plt.figure()\n",
    "axes = figure.subplots()\n",
    "# plot the data\n",
    "axes.plot(years, refugees[14], color=\"r\")\n",
    "# add labels and title\n",
    "axes.set_xlabel(\"year\")\n",
    "axes.set_ylabel(\"refugees\")\n",
    "axes.set_title(\"Refugees in Italy\")\n",
    "\n",
    "# create axes object\n",
    "figure = plt.figure()\n",
    "axes = figure.subplots()\n",
    "# plot the data\n",
    "axes.plot(years, refugees[10], color=\"r\")\n",
    "# add labels and title\n",
    "axes.set_xlabel(\"year\")\n",
    "axes.set_ylabel(\"refugees\")\n",
    "axes.set_title(\"Refugees in Germany\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "id": "d48380db",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "How are you on Tilsit?\n",
      "How are you on Gruyere?\n",
      "How are you on Emmental?\n"
     ]
    }
   ],
   "source": [
    "print(\"How are you on Tilsit?\")\n",
    "print(\"How are you on Gruyere?\")\n",
    "print(\"How are you on Emmental?\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "id": "017510f2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "How are you on Tilsit? How are you on Gruyere? How are you on Emmental? \n",
      "out again\n"
     ]
    }
   ],
   "source": [
    "for cheese in [\"Tilsit\",\"Gruyere\",\"Emmental\"]:\n",
    "    print(\"How are you on \", cheese, \"?\", sep=\"\", end=\" \")\n",
    "print(\"out again\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "id": "11023732",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "A\n",
      "B\n",
      "C\n"
     ]
    }
   ],
   "source": [
    "for letter in \"ABC\":\n",
    "    print(letter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "id": "6b104023",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "adding: 1\n",
      "total: 1\n",
      "adding: 2\n",
      "total: 3\n",
      "adding: 3\n",
      "total: 6\n"
     ]
    }
   ],
   "source": [
    "total = 0\n",
    "for num in np.array([1,2,3]):\n",
    "    total = total + num\n",
    "    print(\"adding:\", num)\n",
    "    print(\"total:\", total)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "id": "438663fb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[10, 9, 8, 7, 6, 5, 4]"
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(range(10,3,-1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "id": "7d6364d9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "1\n",
      "2\n",
      "3\n",
      "4\n",
      "5\n",
      "6\n",
      "7\n",
      "8\n",
      "9\n"
     ]
    }
   ],
   "source": [
    "for number in range(10):\n",
    "    print(number)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "id": "c7061249",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ROMANI ITE DOMUM!\n",
      "ROMANI ITE DOMUM!\n",
      "ROMANI ITE DOMUM!\n",
      "ROMANI ITE DOMUM!\n",
      "ROMANI ITE DOMUM!\n"
     ]
    }
   ],
   "source": [
    "for _ in range(5):\n",
    "    print(\"ROMANI ITE DOMUM!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "id": "a1b4592f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 - Tilsit\n",
      "1 - Gruyere\n",
      "2 - Emmental\n"
     ]
    }
   ],
   "source": [
    "for i, cheese in enumerate([\"Tilsit\",\"Gruyere\",\"Emmental\"]):\n",
    "    print(i, \"-\", cheese)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "id": "da14685a",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = [1,2,3]\n",
    "Y=[1,4,9]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "id": "3cad69ed",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 squared is 1\n",
      "2 squared is 4\n",
      "3 squared is 9\n"
     ]
    }
   ],
   "source": [
    "for x, y in zip(X,Y):\n",
    "    print(x, \"squared is\",y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "id": "b8c59a69",
   "metadata": {},
   "outputs": [],
   "source": [
    "x,y = 4,16"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "id": "67937ef0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 197,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "id": "0f4c20b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "16"
      ]
     },
     "execution_count": 198,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "id": "c523d9e7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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5fPiwAJAxY8aY93333XfSvHlzcXd3lxYtWsjy5cuLXBX43XffyUMPPSQBAQHi5uYmBoNBnnzySdm3b5/F8T/66CMJCgqSGjVqWJy7kJAQufvuu4vNqbirAr/55htp1qyZaLVaadKkicycOVO+/vprASDx8fGlngeiyqQR4WxqRFS1li5diiFDhuDPP/9E586dbZ0OEZHVsLAiokq1bNkynDt3Di1btoSLiwtiYmIwZ84ctG3b1jwdAxFRdcExVkRUqby8vBAZGYn33nsPGRkZqFevHoYNG4b33nvP1qkREVkdW6yIiIiIrITTLRARERFZCQsrIiIiIithYUVERERkJRy8XsXy8/Nx/vx5eHl5lXn5BiIiIrItEcGVK1dgMBgsJjcujIVVFTt//jwaNGhg6zSIiIioAs6cOYPAwMASH2dhVcVMa7CdOXOmyJIQREREZJ/S09PRoEGDm66lysKqipm6/7y9vVlYEREROZibDePh4HUiIiIiK2FhRURERGQlLKyIiIiIrISFFREREZGVsLAiIiIishIWVkRERERWwsKKiIiIyEpYWBERERFZCQsrIiIiIithYUVERERkJSysiIiIiKyEhRURERGRlbCwIiIiourhwAHg0iVAxGYp1LTZMxMRERFZS2YmEBystlNSAF9fm6TBFisiIiJyfBcuqJ9uboCPj83SYGFFREREji8xUf3U6wGNxmZpsLAiIiIix2cqrOrVs2kaLKyIiIjI8bGwIiIiIrKSpCT1k4UVERER0S0qOMbKhlhYERERkeNjVyAwc+ZM3HvvvfDy8oK/vz8GDhyII0eOWMQMGzYMGo3G4taxY0eLmKysLIwZMwZ+fn7w9PTEgAEDcPbsWYuY1NRUhIeHQ6fTQafTITw8HGlpaRYxCQkJ6N+/Pzw9PeHn54exY8ciOzvbIiYuLg4hISHw8PBA/fr18c4770BsOBEZERERgV2BALB161aMHj0aMTExWL9+PXJzc9GrVy9kZGRYxPXp0weJiYnm29q1ay0eHzduHNasWYPIyEhs374dV69eRVhYGPLy8swxgwcPxt69exEVFYWoqCjs3bsX4eHh5sfz8vIQGhqKjIwMbN++HZGRkVi1ahUmTJhgjklPT0fPnj1hMBiwa9cuLFiwAHPnzsW8efMq6QwRERFRmdhJixXEjiQnJwsA2bp1q3nf0KFD5eGHHy7xd9LS0sTV1VUiIyPN+86dOycuLi4SFRUlIiIHDx4UABITE2OOiY6OFgBy+PBhERFZu3atuLi4yLlz58wxy5YtE61WK0ajUUREPv30U9HpdJKZmWmOmTlzphgMBsnPzy/TazQajQLAfEwiIiK6Rbm5IjVqiAAiZ89WylOU9fPbrsZYGY1GAIBvoWnot2zZAn9/f9x5550YOXIkkpOTzY/t3r0bOTk56NWrl3mfwWBAcHAw/vrrLwBAdHQ0dDodOnToYI7p2LEjdDqdRUxwcDAMBoM5pnfv3sjKysLu3bvNMSEhIdBqtRYx58+fx6lTp6x0FoiIiKhcLl0C8vLUxKABATZNxW4KKxHB+PHj8cADDyDYtNYPgL59++I///kPNm3ahA8//BC7du1Ct27dkJWVBQBISkqCm5sbfApNXx8QEICkf/pbk5KS4O/vX+Q5/f39LWICCv1j+Pj4wM3NrdQY031TTGFZWVlIT0+3uBEREZEVmT6D69YFatp2GWS7WYQ5IiIC+/btw/bt2y32P/XUU+bt4OBgtG/fHo0aNcLvv/+ORx99tMTjiQg0Baa01xQzvb01YuSfgevF/S6gBui//fbbJeZJREREt8hexlfBTlqsxowZg19++QWbN29GYGBgqbH16tVDo0aNcOzYMQCAXq9HdnY2UlNTLeKSk5PNrUl6vR4XTIszFnDx4kWLmMKtTqmpqcjJySk1xtQtWbgly2TKlCkwGo3m25kzZ0p9fURERFROdjKHFWDjwkpEEBERgdWrV2PTpk0ICgq66e+kpKTgzJkzqPdPVdquXTu4urpi/fr15pjExETs378fnTt3BgB06tQJRqMRO3fuNMfs2LEDRqPRImb//v1INP3jAFi3bh20Wi3atWtnjtm2bZvFFAzr1q2DwWBA48aNi81Xq9XC29vb4kZERERWxBYrZfTo0fjhhx+wdOlSeHl5ISkpCUlJSbh+/ToA4OrVq5g4cSKio6Nx6tQpbNmyBf3794efnx8eeeQRAIBOp8OIESMwYcIEbNy4EbGxsXjmmWfQsmVL9OjRAwDQvHlz9OnTByNHjkRMTAxiYmIwcuRIhIWFoVmzZgCAXr16oUWLFggPD0dsbCw2btyIiRMnYuTIkeZiaPDgwdBqtRg2bBj279+PNWvW4P3338f48eNL7AokIiKiSmYnc1gBsO10CwCKvS1evFhERK5duya9evWSunXriqurqzRs2FCGDh0qCQkJFse5fv26REREiK+vr3h4eEhYWFiRmJSUFBkyZIh4eXmJl5eXDBkyRFJTUy1iTp8+LaGhoeLh4SG+vr4SERFhMbWCiMi+ffukS5cuotVqRa/Xy/Tp08s81YIIp1sgIiKyuscfV1MtzJ9faU9R1s9vjQinDa9K6enp0Ol0MBqN7BYkIiKyhgceAP78E1ixAnjiiUp5irJ+ftvF4HUiIiKiCuMYKyIiIiIrELGrMVYsrIiIiMhxXbkCXLumtp19ugUiIiKiW2LqBvTyAjw9bZsLWFgRERGRI7Oj8VUACysiIiJyZHY0vgpgYUVERESOzI6WswFYWBEREZEjY1cgERERkZWwsCIiIiKyEo6xIiIiIrISjrEiIiIishJ2BRIRERFZQVYWcPmy2mZhRURERHQLLlxQP11dAV9f2+byDxZWRERE5JgKjq/SaGybyz9YWBEREZFjsrPxVQALKyIiInJUdjbVAsDCioiIiBwVW6yIiIiIrMTO5rACWFgRERGRo2KLFREREZGVcIwVERERkZWwK5CIiIjICvLzb0wQyhYrIiIioltw6RKQm6smBg0IsHU2ZiysiIiIyPGYxlf5+aklbewECysiIiJyPHY4vgpgYUVERESOyA6nWgBYWBEREZEjYmFFREREZCV2OIcVwMKKiIiIHBHHWBERERFZCbsCiYiIiKyEhRURERGRlXCMFREREZEVXLkCZGSobY6xIiIiIroFpm7A2rXVzY6wsCIiIiLHYqfdgAALKyIiInI0djpwHWBhRURERI7GTuewAlhYERERkaNhixURERGRlXCMFREREZGVsMWKiIiIyEo4xoqIiIjISthiRURERGQF2dlASoraZmFFREREdAsuXFA/XV0BX1/b5lIMFlZERETkOEzdgAEBgIv9lTH2lxERERFRSex4fBXAwoqIiIgciR3PYQWwsCIiIiJHYsdTLQAsrIiIiMiRsCuQiIiIyEpYWBERERFZCcdYEREREVkJx1gRERERWUF+PlusiIiIiKwiJQXIzVXbAQG2zaUELKyIiIjIMZhaq/z8ADc32+ZSAhZWRERE5BjsfHwVwMKKiIiIHIWdT7UA2LiwmjlzJu699154eXnB398fAwcOxJEjRyxiRATTp0+HwWCAh4cHunbtigMHDljEZGVlYcyYMfDz84OnpycGDBiAs2fPWsSkpqYiPDwcOp0OOp0O4eHhSEtLs4hJSEhA//794enpCT8/P4wdOxbZ2dkWMXFxcQgJCYGHhwfq16+Pd955ByJivZNCRERExbPzgeuAjQurrVu3YvTo0YiJicH69euRm5uLXr16ISMjwxwze/ZszJs3DwsXLsSuXbug1+vRs2dPXLlyxRwzbtw4rFmzBpGRkdi+fTuuXr2KsLAw5OXlmWMGDx6MvXv3IioqClFRUdi7dy/Cw8PNj+fl5SE0NBQZGRnYvn07IiMjsWrVKkyYMMEck56ejp49e8JgMGDXrl1YsGAB5s6di3nz5lXymSIiIiJHaLGC2JHk5GQBIFu3bhURkfz8fNHr9TJr1ixzTGZmpuh0Olm0aJGIiKSlpYmrq6tERkaaY86dOycuLi4SFRUlIiIHDx4UABITE2OOiY6OFgBy+PBhERFZu3atuLi4yLlz58wxy5YtE61WK0ajUUREPv30U9HpdJKZmWmOmTlzphgMBsnPzy/TazQajQLAfEwiIiIqoyefFAFE/v3vKn/qsn5+29UYK6PRCADw9fUFAMTHxyMpKQm9evUyx2i1WoSEhOCvv/4CAOzevRs5OTkWMQaDAcHBweaY6Oho6HQ6dOjQwRzTsWNH6HQ6i5jg4GAYDAZzTO/evZGVlYXdu3ebY0JCQqDVai1izp8/j1OnThX7mrKyspCenm5xIyIiogpwgBYruymsRATjx4/HAw88gODgYABA0j99qQGF5qoICAgwP5aUlAQ3Nzf4+PiUGuPv71/kOf39/S1iCj+Pj48P3NzcSo0x3TfFFDZz5kzzuC6dTocGDRrc5EwQERFRsTjGquwiIiKwb98+LFu2rMhjGo3G4r6IFNlXWOGY4uKtESP/DFwvKZ8pU6bAaDSab2fOnCk1byIiIioBW6zKZsyYMfjll1+wefNmBAYGmvfr/5mnonBrUHJysrmlSK/XIzs7G6mpqaXGXLhwocjzXrx40SKm8POkpqYiJyen1Jjk5GQARVvVTLRaLby9vS1uREREVE5Xr6obwHmsSiIiiIiIwOrVq7Fp0yYEBQVZPB4UFAS9Xo/169eb92VnZ2Pr1q3o3LkzAKBdu3ZwdXW1iElMTMT+/fvNMZ06dYLRaMTOnTvNMTt27IDRaLSI2b9/PxJN1TCAdevWQavVol27duaYbdu2WUzBsG7dOhgMBjRu3NhKZ4WIiIiKMH0+e3oCXl62zaU0lT2KvjSjRo0SnU4nW7ZskcTERPPt2rVr5phZs2aJTqeT1atXS1xcnAwaNEjq1asn6enp5pgXX3xRAgMDZcOGDbJnzx7p1q2btG7dWnJzc80xffr0kVatWkl0dLRER0dLy5YtJSwszPx4bm6uBAcHS/fu3WXPnj2yYcMGCQwMlIiICHNMWlqaBAQEyKBBgyQuLk5Wr14t3t7eMnfu3DK/Zl4VSEREVAHbtqkrAps2tcnTl/Xz26aFFYBib4sXLzbH5Ofny7Rp00Sv14tWq5UHH3xQ4uLiLI5z/fp1iYiIEF9fX/Hw8JCwsDBJSEiwiElJSZEhQ4aIl5eXeHl5yZAhQyQ1NdUi5vTp0xIaGioeHh7i6+srERERFlMriIjs27dPunTpIlqtVvR6vUyfPr3MUy2IsLAiIiKqkOXLVWHVpYtNnr6sn98aEU4bXpXS09Oh0+lgNBo53oqIiKis5s8Hxo0DnngCWLGiyp++rJ/fdjF4nYiIiKhUDnBFIMDCioiIiByBA8xhBbCwIiIiIkdgarGy46kWABZWRERE5AjYFUhERERkJSysiIiIiKwgJwe4dElts7AiIiIiugWmZelq1gTq1LFtLjfBwoqIiIjsm6kbMCAAcLHv0sW+syMiIiJykPFVAAsrIiIisncOMocVwMKKiIiI7J2DzGEFsLAiIiIie8euQCIiIiIrYVcgERERkZWwxYqIiIjISjjGioiIiMgKRNgVSERERGQVly+rJW0AtlgRERER3RJTN2CdOoCbm21zKQMWVkRERGS/HGh8FcDCioiIiOyZA10RCLCwIiIiInvmQAPXARZWREREZM/YYkVERERkJRxjRURERGQlbLEiIiIishKOsSIiIiKyEnYFEhEREVlBRgZw5YraZosVERER0S0wtVbVqgV4edk2lzJiYUVERET2qeD4Ko3GtrmUEQsrIiIisk8ONr4KYGFFRERE9srBploAWFgRERGRvWJhRURERGQlDjaHFcDCioiIiOwVx1gRERERWQm7AomIiIishF2BRERERFaQmwtcvKi2WVgRERER3YILFwARoEYNwM/P1tmUGQsrIiIisj+m8VUBAYCL45QrjpMpEREROQ8HHF8FsLAiIiIie+SAVwQCLKyIiIjIHjngHFYACysiIiKyR2yxIiIiIrISjrEiIiIishK2WBERERFZCcdYEREREVmBCLsCiYiIiKwiNRXIzlbbbLEiIiIiugWmbkBfX0CrtW0u5cTCioiIiOyLg46vAlhYERERkb1x0CsCARZWREREZG8cdOA6UMHCas+ePYiLizPf//nnnzFw4EC8/vrryDYNNiMiIiKqCGfrCnzhhRdw9OhRAMDJkyfx9NNPo1atWli5ciVeffVVqyZIRERETsbZugKPHj2KNm3aAABWrlyJBx98EEuXLsW3336LVatWWTM/IiIicjbOVliJCPLz8wEAGzZsQL9+/QAADRo0wKVLl6yXHRERETkfZxtj1b59e7z33ntYsmQJtm7ditDQUABAfHw8AgICrJogERERORlnG2P10UcfYc+ePYiIiMAbb7yBpk2bAgB+/PFHdO7c2aoJEhERkRO5dg1IT1fbztJi1apVK8TFxcFoNGLatGnm/XPmzMF3331X5uNs27YN/fv3h8FggEajwU8//WTx+LBhw6DRaCxuHTt2tIjJysrCmDFj4OfnB09PTwwYMABnz561iElNTUV4eDh0Oh10Oh3Cw8ORlpZmEZOQkID+/fvD09MTfn5+GDt2bJErHOPi4hASEgIPDw/Ur18f77zzDkSkzK+XiIiIbsI0VrtWLcDb27a5VECF57FKS0vDV199hSlTpuDy5csAgIMHDyI5ObnMx8jIyEDr1q2xcOHCEmP69OmDxMRE823t2rUWj48bNw5r1qxBZGQktm/fjqtXryIsLAx5eXnmmMGDB2Pv3r2IiopCVFQU9u7di/DwcPPjeXl5CA0NRUZGBrZv347IyEisWrUKEyZMMMekp6ejZ8+eMBgM2LVrFxYsWIC5c+di3rx5ZX69REREVIqffwaGD1fbL74IaDS2zacipAL+/vtv8fPzk6ZNm0rNmjXlxIkTIiLy5ptvSnh4eEUOKQBkzZo1FvuGDh0qDz/8cIm/k5aWJq6urhIZGWned+7cOXFxcZGoqCgRETl48KAAkJiYGHNMdHS0AJDDhw+LiMjatWvFxcVFzp07Z45ZtmyZaLVaMRqNIiLy6aefik6nk8zMTHPMzJkzxWAwSH5+fplfp9FoFADm4xIREZGIREWJuLmJACLh4SJ5ebbOyEJZP78r1GI1fvx4DB8+HMeOHYO7u7t5f9++fbFt2zZr1HtmW7Zsgb+/P+68806MHDnSokVs9+7dyMnJQa9evcz7DAYDgoOD8ddffwEAoqOjodPp0KFDB3NMx44dodPpLGKCg4NhMBjMMb1790ZWVhZ2795tjgkJCYG2wGKQvXv3xvnz53Hq1KkS88/KykJ6errFjYiIiArYuhUYOBDIzgYefxz45hvAxTEXh6lQ1rt27cILL7xQZH/9+vWRZLpE0gr69u2L//znP9i0aRM+/PBD7Nq1C926dUNWVhYAICkpCW5ubvDx8bH4vYCAAHMeSUlJ8Pf3L3Jsf39/i5jCVzP6+PjAzc2t1BjT/dJe88yZM81ju3Q6HRo0aFCeU0BERFS9xcQAYWFAZiYQGgr85z9AzZq2zqrCKpS5u7t7sS0vR44cQd26dW85KZOnnnrKvB0cHIz27dujUaNG+P333/Hoo4+W+HsiAk2BfllNMX201oiRfwauF/e7JlOmTMH48ePN99PT01lcERERAUBsLNC3L3D1KtC9O/Djj4Cbm62zuiUVarF6+OGH8c477yAnJweAKiwSEhLw2muv4bHHHrNqggXVq1cPjRo1wrFjxwAAer0e2dnZSE1NtYhLTk42tybp9XpcuHChyLEuXrxoEVO41Sk1NRU5OTmlxpi6JUubu0ur1cLb29viRkRE5PQOHgR69QLS0oAHHlAD1wsML3JUFSqs5s6di4sXL8Lf3x/Xr19HSEgImjZtCi8vL8yYMcPaOZqlpKTgzJkzqPfPvBbt2rWDq6sr1q9fb45JTEzE/v37zfNpderUCUajETt37jTH7NixA0aj0SJm//79SDRNSAZg3bp10Gq1aNeunTlm27ZtFlMwrFu3DgaDAY0bN66010xERFTtHDumWqguXQLatwd+/x3w9LR1VlahEan4REybNm3Cnj17kJ+fj3vuuQc9evQo1+9fvXoVx48fBwC0bdsW8+bNw0MPPQRfX1/4+vpi+vTpeOyxx1CvXj2cOnUKr7/+OhISEnDo0CF4eXkBAEaNGoXffvsN3377LXx9fTFx4kSkpKRg9+7dqFGjBgA1Vuv8+fP4/PPPAQDPP/88GjVqhF9//RWAmm6hTZs2CAgIwJw5c3D58mUMGzYMAwcOxIIFCwAARqMRzZo1Q7du3fD666/j2LFjGDZsGKZOnWoxLcPNpKenQ6fTwWg0svWKiIicz+nTQJcuwJkzQMuWwJYtgK+vrbO6qTJ/ft/q5YfXr18v13QDBW3evFkAFLkNHTpUrl27Jr169ZK6deuKq6urNGzYUIYOHSoJCQlFnj8iIkJ8fX3Fw8NDwsLCisSkpKTIkCFDxMvLS7y8vGTIkCGSmppqEXP69GkJDQ0VDw8P8fX1lYiICIupFURE9u3bJ126dBGtVit6vV6mT59e7tfO6RaIiMhpnTsncvvtakqFZs1EkpJsnVGZlfXzu0ItVvn5+ZgxYwYWLVqECxcu4OjRo2jSpAneeustNG7cGCNGjKhQNegM2GJFRERO6eJFICQEOHQICAoC/vc/oH59W2dVZmX9/K7QGKv33nsP3377LWbPng23AqP3W7Zsia+++qoihyQiIqLqKjUV6NlTFVWBgcDGjQ5VVJVHhQqr77//Hl988QWGDBliHscEqDUEDx8+bLXkiIiIyMGlpwN9+gB//w0EBKiiKijI1llVmgoVVufOnUPTpk2L7M/PzzdPwUBERERO7to1Nfnnzp1qgPqGDcCdd9o6q0pVocLq7rvvxv/+978i+1euXIm2bdveclJERETk4JKT1TI1//sf4O0NrFsHBAfbOqtKV6GZ16dNm4bw8HCcO3cO+fn5WL16NY4cOYLvv/8ev/32m7VzJCIiIkeRlQUsWAC8+67qBvT0BP77X+CfeSGruwq1WPXv3x/Lly/H2rVrodFoMHXqVBw6dAi//vorevbsae0ciYiIyN6JqNnT774bmDRJFVX33ANs3gz8MyG3M7ilCUKp/DjdAhERVTv79gHjx6uB6QCg1wPvvw8MHQq4VKgNx+6U9fPbcZePJiIiIttKTgamTgW+/BLIzwe0WmDCBOC114B/VkhxNhUqrHx8fKDRaIrs12g0cHd3R9OmTTFs2DAMHz78lhMkIiIiO5OdrcZRvfOO6vIDgCeeAD74oFpPpVAWFSqspk6dihkzZqBv37647777ICLYtWsXoqKiMHr0aMTHx2PUqFHIzc3FyJEjrZ0zERER2YII8OuvqlXqn7V+0bYt8NFHwIMP2jQ1e1Ghwmr79u1477338OKLL1rs//zzz7Fu3TqsWrUKrVq1wscff8zCioiIqDqIiwNeeaXoOKpnnwUKTBbu7Co0ouyPP/5Ajx49iuzv3r07/vjjDwBAv379cPLkyVvLjoiIiGzLaAReeglo00YVVVotMGUKcPQoMHw4i6pCKlRY+fr64tdffy2y/9dff4Wvry8AICMjA15OOnCNiIioWti2DWjVCvjsMzU4/fHH1Xp/77/vtIPTb6ZCXYFvvfUWRo0ahc2bN+O+++6DRqPBzp07sXbtWixatAgAsH79eoSEhFg1WSIiIqoCWVnqar85c9S4qiZNgK+/Brp2tXVmdq/C81j9+eefWLhwIY4cOQIRwV133YUxY8agsxNNAlYRnMeKiIjs2oEDwJAhatFkAHjuOTU43clbqMr6+c0JQqsYCysiIrJL+fnAxx+rOaiysgA/PzU/1cCBts7MLlTqBKEJCQmlPt6wYcOKHJaIiIhs4exZYNiwG1f89e0LfPONuvKPyqVChVXjxo2LnSDUJC8vr8IJERERURVavhx48UUgLQ3w8AA+/FDdL+VznkpWocIqNjbW4n5OTg5iY2Mxb948zJgxwyqJERERUSVKSwMiIoD//Efdb98e+OEHoFkzm6bl6CpUWLVu3brIvvbt28NgMGDOnDl49NFHbzkxIiIiqiRbtqiJPc+cUYskv/EG8NZbgKurrTNzeFZdhPnOO+/Erl27rHlIIiIispasLODNN1V3nwhw++3AkiVAp062zqzaqFBhlW5acPEfIoLExERMnz4dd9xxh1USIyIiIis6cwYICwP27VP3//Uv4N//BmrXtm1e1UyFCqvbbrutyOB1EUGDBg0QGRlplcSIiIjISrKzgSeeUEWVnx/w1VfAww/bOqtqqUKF1ebNmy3uu7i4oG7dumjatClq1rRq7yIRERHdqsmTgR07gNtuA3buBIKCbJ1RtVXmKuiee+7Bxo0b4ePjg61bt2LixImoVatWZeZGREREt2r1ajVzOgB89x2LqkpW5kWYDx06hIyMDADA22+/bd4mIiIiO3XiBDB8uNqeNAkYMMC2+TiBMrdYtWnTBsOHD8cDDzwAEcGcOXNQu4QBb1OnTrVagkRERFQBmZlqXFV6OnD//QDnmawSZV4r8MiRI5g2bRpOnDiBPXv2oEWLFsWOp9JoNNizZ4/VE60uuFYgERFViVGjgEWL1GD12FggMNDWGTm0Sl2E2cXFBUlJSfD397+lJJ0RCysiIqp0S5cCQ4aoZWmiooBevWydkcOr1EWY8/PzK5wYERERVaJDh4Dnn1fbb73FoqqKlXnwemFLlizB/fffD4PBgNOnTwMA/v3vf+Pnn3+2WnJERERUDhkZalxVRgbQrRvAMc9VrkKF1WeffYbx48ejX79+SEtLQ15eHgDAx8cHH5ku6SQiIqKqIwK89BJw4ACg16vuwBo1bJ2V06lQYbVgwQJ8+eWXeOONN1CjwD9a+/btERcXZ7XkiIiIqIwWLwa+/14tqhwZCQQE2Dojp1Shwio+Ph5t27Ytsl+r1XJ+KyIioqq2bx8werTafu89ICTEtvk4sQoVVkFBQdi7d2+R/f/973/RvHnzW82JiIiIyio9HXj8cTVvVd++avkaspkKXRU4adIkjB49GpmZmRAR7Ny5E8uWLcP777+Pr7/+2to5EhERUXFE1BWAx44BDRoAS5aorkCymQoVVsOHD0dubi5effVVXLt2DYMHD0b9+vWxYMECdOnSxdo5EhERUXE++wxYvhyoWVP9rFPH1hk5vQqXtSNHjsTp06eRnJyMpKQk7Ny5E7GxsWjatKk18yMiIqLi/N//Aa+8orZnzwY6dbJtPgSgnIVVWloahgwZgrp168JgMODjjz+Gr68vPvnkEzRt2hQxMTH45ptvKitXIiIiAoDUVDVfVXY2MHAgMG6crTOif5SrK/D111/Htm3bMHToUERFReGVV15BVFQUMjMzsXbtWoTwKgQiIqLKJQIMHw6cOgUEBalpFjQaW2dF/yhXYfX7779j8eLF6NGjB1566SU0bdoUd955JycFJSIiqipffQX8/DPg5gasXAncdputM6ICytUVeP78ebRo0QIA0KRJE7i7u+Nf//pXpSRGREREheTmAu+/r7ZnzADatbNtPlREuQqr/Px8uLq6mu/XqFEDnp6eVk+KiIiIirFiheoCrFtXLV9DdqdcXYEigmHDhkGr1QIAMjMz8eKLLxYprlavXm29DImIiEiNrfrgA7U9dixQq5Zt86FilauwGjp0qMX9Z555xqrJEBERUQmiotTSNZ6ebK2yY+UqrBYvXlxZeRAREVFpTK1Vzz8P+PraNhcqEee9JyIisncxMcDWrYCrKzB+vK2zoVKwsCIiIrJ3ptaqIUOAwEDb5kKlYmFFRERkzw4fVvNWAcCrr9o2F7opFlZERET2bM4cdUXggAFA8+a2zoZugoUVERGRvTp3DliyRG2/9pptc6EyYWFFRERkrz76CMjJAbp0ATp1snU2VAYsrIiIiOxRaiqwaJHanjzZtrlQmbGwIiIiskeffQZcvQoEBwP9+tk6GyojFlZERET25vp1YP58tT15MqDR2DYfKjMWVkRERPbmu++A5GSgYUPgqadsnQ2VAwsrIiIie5Kbq6ZYAIAJE9Rs6+QwWFgRERHZk1WrgJMngTp1gBEjbJ0NlZNNC6tt27ahf//+MBgM0Gg0+OmnnyweFxFMnz4dBoMBHh4e6Nq1Kw4cOGARk5WVhTFjxsDPzw+enp4YMGAAzp49axGTmpqK8PBw6HQ66HQ6hIeHIy0tzSImISEB/fv3h6enJ/z8/DB27FhkZ2dbxMTFxSEkJAQeHh6oX78+3nnnHYiI1c4HERE5OZEby9eMGQN4eto2Hyo3mxZWGRkZaN26NRYuXFjs47Nnz8a8efOwcOFC7Nq1C3q9Hj179sSVK1fMMePGjcOaNWsQGRmJ7du34+rVqwgLC0NeXp45ZvDgwdi7dy+ioqIQFRWFvXv3Ijw83Px4Xl4eQkNDkZGRge3btyMyMhKrVq3ChAkTzDHp6eno2bMnDAYDdu3ahQULFmDu3LmYN29eJZwZIiJyShs2ALGxQK1aQESErbOhihA7AUDWrFljvp+fny96vV5mzZpl3peZmSk6nU4WLVokIiJpaWni6uoqkZGR5phz586Ji4uLREVFiYjIwYMHBYDExMSYY6KjowWAHD58WERE1q5dKy4uLnLu3DlzzLJly0Sr1YrRaBQRkU8//VR0Op1kZmaaY2bOnCkGg0Hy8/PL/DqNRqMAMB+XiIjIrFs3EUBk7FhbZ0KFlPXz227HWMXHxyMpKQm9evUy79NqtQgJCcFff/0FANi9ezdycnIsYgwGA4KDg80x0dHR0Ol06NChgzmmY8eO0Ol0FjHBwcEwGAzmmN69eyMrKwu7d+82x4SEhECr1VrEnD9/HqdOnSrxdWRlZSE9Pd3iRkREVMT//R+waRNQowYwfryts6EKstvCKikpCQAQEBBgsT8gIMD8WFJSEtzc3ODj41NqjL+/f5Hj+/v7W8QUfh4fHx+4ubmVGmO6b4opzsyZM81ju3Q6HRo0aFD6CyciIudkGls1eDDQqJFtc6EKs9vCykRTaFI0ESmyr7DCMcXFWyNG/hm4Xlo+U6ZMgdFoNN/OnDlTau5EROSEjh1TVwMCwKuv2jYXuiV2W1jp9XoARVuDkpOTzS1Fer0e2dnZSE1NLTXmwoULRY5/8eJFi5jCz5OamoqcnJxSY5KTkwEUbVUrSKvVwtvb2+JGRERkYc4cdUVgaKhawoYclt0WVkFBQdDr9Vi/fr15X3Z2NrZu3YrOnTsDANq1awdXV1eLmMTEROzfv98c06lTJxiNRuzcudMcs2PHDhiNRouY/fv3IzEx0Ryzbt06aLVatGvXzhyzbds2iykY1q1bB4PBgMaNG1v/BBARkXNITFQzrQNcbLk6qPxx9CW7cuWKxMbGSmxsrACQefPmSWxsrJw+fVpERGbNmiU6nU5Wr14tcXFxMmjQIKlXr56kp6ebj/Hiiy9KYGCgbNiwQfbs2SPdunWT1q1bS25urjmmT58+0qpVK4mOjpbo6Ghp2bKlhIWFmR/Pzc2V4OBg6d69u+zZs0c2bNgggYGBEhERYY5JS0uTgIAAGTRokMTFxcnq1avF29tb5s6dW67XzKsCiYjIwuTJ6krAzp1FynGVOVWtsn5+27Sw2rx5swAochs6dKiIqCkXpk2bJnq9XrRarTz44IMSFxdncYzr169LRESE+Pr6ioeHh4SFhUlCQoJFTEpKigwZMkS8vLzEy8tLhgwZIqmpqRYxp0+fltDQUPHw8BBfX1+JiIiwmFpBRGTfvn3SpUsX0Wq1otfrZfr06eWaakGEhRURERWQlibi7a0Kq59/tnU2VIqyfn5rRDh1eFVKT0+HTqeD0WjkeCsiImf3wQfAa68BLVoAcXGAi92O0HF6Zf385r8gERGRLWRmAh99pLYnTWJRVU3wX5GIiMgWliwBkpKAwEA1dxVVCyysiIiIqlpuLjBrltoePx5wc7NtPmQ1LKyIiIiq2rJlwMmTgJ8f8Pzzts6GrIiFFRERUVXKywNmzFDbEyYAnp62zYesioUVERFRVfrxR+DIEcDHB3jpJVtnQ1bGwoqoJJcvq3EQRETWkp8PvPee2n75ZYDT7lQ7LKyIirNpE1CnDnDHHcDChUBGhq0zIqLq4JdfgP37AS8vYOxYW2dDlYCFFVFxfvlF/Tx1ChgzBmjUCJg+Hbh40ZZZEZEjEwHefVdtjxmjugKp2mFhRVScvXvVzyeeAJo0AVJSgLffVgVWRIS6moeIqDz++19gzx6gVi1g3DhbZ0OVhIUVUWEiNwqrN94Ajh4FVqwA2rcHrl8HPvlEdRE+9RSwe7dNUyUiB1GwtWrUKKBuXdvmQ5WGhRVRYadPA0Yj4OoKNG8O1KihWq527gQ2bwb69lUDUE3FVvfuwB9/qD+cRETF2bQJiIkB3N2BiRNtnQ1VIhZWRIWZWqvuvttyNmSNBujaFVi7Fvj7byA8HKhZU/3B7NMHaNMG+M9/gJwcGyRNRHbN1Fo1ciSg19s2F6pULKyICjMVVm3alBzTqhXw/ffAiRPAK6+oCf727QOeeQZo2hSYPRtITq6KbInI3v3vf8DWraoVfNIkW2dDlYyFFVFhZSmsTBo2BObNA86cUTMp+/sDCQnA5MlqYdWnngI2blRdh0TknEzzVg0fDjRoYNtcqNKxsCIqrDyFlYmPD/D662p81ldfAffdp7oEV6wAevQAmjVjKxaRM9q5E1i3To3VfO01W2dDVYCFFVFBqamqOAKA1q3L//vu7sCIEcCOHUBsrLr6x8sLOH7cuq1YIsDZs+ry7X//Ww2KJSL7YxpbFR4OBAXZNheqEhoRXspUldLT06HT6WA0GuHNpQzsz5YtwEMPAY0bA/Hx1jlmRgYQGQl88YX69mrStKkayDpsmOpCLMnly2qm5v37gbi4G9tpaTdi/P2BpCQ1wJ6I7ENsLHDPPYCLC3DoEHDnnbbOiG5BWT+/a1ZhTkT2ryLdgDfj6alasUaMUMf/4gvghx9utGK9+SbwyCOqyPLxsSyg4uKA8+eLP26NGqqL8dAh1cV44QKvNiKyJzNmqJ9PPcWiyomwsCIqqDIKq4LatAE+/RSYMwdYvhz4/HPVirVihbqVpFEjoGVLIDj4xs9mzQCtFrj9djUT/OHDLKyI7MWBA8CqVWr7jTdsmwtVKRZWRAVVdmFl4ukJPPecuu3dC3z5JbB0qZoXq3ABdffdQGndxnfdpQqrI0fUPFtEZHum1qrHHlP/h8lpsLAiMsnOBg4eVNuVXVgV1KaNWiZn4UJ1v7zjpJo1U5OWHjli9dSIqAKOHlUt0gBbq5wQCysik4MH1RQJt92m5qeqahUdeN6smfp5+LD1ciGiips5U131GxYGtG1r62yoinG6BSKTgt2AjnR13V13qZ9ssSKyvfh4YMkStf3WW7bNhWyChRWRSVWNr7I2U4tVfDyQmWnbXIic3axZQF4e0KuXmiiYnA4LKyITRy2sAgIAnU5NGnr8uK2zIXJeZ88Cixer7TfftG0uZDMsrIgAVZQ4amGl0dxotWJ3IJHtzJ6txmmGhABdutg6G7IRFlZEgFrGxmhUq883b27rbMqPA9iJbCspSU2bAnBslZNjYUUE3GitatECcHOzaSoVwgHsRLb14YdqjGOnTkC3brbOhmyIhRUR4LjdgCZssSKynUuXgM8+U9tvvulYVxWT1bGwIgIcv7Aq2GLFddWJqta776rF1tu1A/r2tXU2ZGMsrIgAxy+smjYFXFyA9HQ11oOIqsaiRcDHH6vtt99maxWxsCJCWpoavA4ArVvbNJUK02qBoCC1zXFWRFXjp5+A0aPV9rRpQGioTdMh+8DCiujvv9XPRo0AHx/b5nIrOOUCUdX5809g0CC1dM3IkaqwIgILKyLH7wY04QB2oqpx6BDQv7+6CrB/f+DTT9kFSGYsrIiqS2HFKReIKt/580CfPkBqKtChAxAZCdSsaeusyI6wsCKqLoUVW6yIKpfRqK76S0gA7rwT+O03oFYtW2dFdoaFFTm37GzgwAG17eiFlanF6tQpLsZMZG1ZWcAjjwD79gF6PRAVBfj52TorskMsrMi5HTqk1vbS6dTgdUfm739jMeZjx2ydDVH1kZ8PDB0KbN4MeHkBa9feuAqXqBAWVuTcCnYDOvrgU42G46yIKsPEicDy5Wos1erVQNu2ts6I7BgLK3Ju1WV8lQmnXCCyrnnzgH//W21/+y3Qo4dN0yH7x8KKnFt1Law4gJ3o1i1bBkyYoLZnzwaGDLFtPuQQWFiR8xKpfoUVuwKJrGPjRjWuCgBefll1BxKVAQsrqpjERHWp8fXrts6k4hIS1HI2rq5Aixa2zsY6CrZYcTFmoorZu1ddAZiTAzz5pOoOdPQxmFRlWFhRxQwcqGYcbtRIrex+6ZKtMyo/U2tVixaAm5tNU7Ea02LMV65wMWaiijh1Ss1VdeUK0LUr8P336v8UURnx3ULlt28fsHOn2r54EZg6FWjYEIiIAE6csG1u5VHdugEBLsZMdCtSUtSs6klJQMuWwJo16v8UUTmwsKLyW7JE/RwwAFi6VF16fP068MknajbiJ54AduywbY5lUR0LK+DGOCsOYCcqm6ws4LPP1N+CI0eABg2A//4XuO02W2dGDoiFFZVPbi7www9q+7nn1Oruu3cDGzaob3r5+cCPPwIdOwIPPgj88ovaZ4+qa2HFKReIyiYrC1i0CLjjDuCll4CzZ1VRFRUF1K9v6+zIQbGwovLZsEE1k9epo8YhAGpQZ/fu6hvevn3qShpXV+B//wMefliNYfryS/taZiUtTY2lAIDWrW2ZifVxygWi0mVnA59/rgqqUaOAM2cAgwFYsAA4erT6XMxCNsHCisrn++/Vz8GDix/w3bKlmkQvPh549VXA21u1nDz/PNC4MTBjBnD5clVmXLy//1Y/GzUCfHxsm4u1ccoFouJlZwNffKEKqhdfVAVVvXrAxx+r8aEREYC7u62zJAfHworKLj1dDeYEgGefLT22fn3ggw/UH64PP1TN6xcuAG++qQosW4/Bqq7dgMCNFqtTpxx7Ogwia8nJAb76So0BfeEFNdWKXg/Mn68KqjFjWFCR1bCworL78UfVnde8OdCuXdl+x9sbGD9e/fH64QcgOFhdxjxypBqvZSvVubDy91eDbkWA48dtnQ2R7eTkAF9/rQqqkSOB06eBgAC1RM3Jk8DYsYCHh62zpGqGhRWV3XffqZ/PPlv+yfJcXdVyEJs3A76+QFwcsHCh9XMsq+pcWGk0HMBOzi0nB/jmG/X/4F//Uq23AQFqos+TJ4Fx41hQUaVhYUVlEx8PbNumPrSfeabix/HzA2bNUttTpwLnz1snv/LIzgYOHFDb1bGwAjiAnZzT4cPAa6+psZMjRqi/W/7+ajjCyZPAK68AtWrZOkuq5lhYUdmYpljo3h0IDLy1Y40YAdx3n+oSnDTp1nMrr0OH1DdanU79Aa6OOICdnEVamrrCr1MnNUzhgw/Uklv+/sDcuaq4Gj+eBRVVmZq2ToAcgMiNqwFvNmi9LFxcgE8/Be69V00w+q9/AQ89dOvHLauC3YDVdf0vtlhRdZaXB2zaBCxerC6oMU3lUqMG0K8fMHw4EBpafZaqIofCwopuLjpaDYL29FQLk1pDu3bqcufPPgNGj1bTH7i6WufYN1Odx1eZFGyxEqm+BSQ5l2PH1FjP775Tk3ma3H23KqaeeUaNpSKyIbvuCpw+fTo0Go3FTa/Xmx8XEUyfPh0GgwEeHh7o2rUrDpjGzvwjKysLY8aMgZ+fHzw9PTFgwACcLfgfEkBqairCw8Oh0+mg0+kQHh6OtLQ0i5iEhAT0798fnp6e8PPzw9ixY5GdnV1pr92umFqrHn8cqF3besedMQOoW1d1zX30kfWOezPOUFjdfvuNxZgTE22dDVHFXbmiBqJ36aKu7psxQxVVPj7qS9muXepimAkTWFSRXbDrwgoA7r77biQmJppvcXFx5sdmz56NefPmYeHChdi1axf0ej169uyJK1eumGPGjRuHNWvWIDIyEtu3b8fVq1cRFhaGvLw8c8zgwYOxd+9eREVFISoqCnv37kV4eLj58by8PISGhiIjIwPbt29HZGQkVq1ahQkTJlTNSbClzExg+XK1bY1uwIJ8fIDZs9X2229bfgOtLCI3JgetzoWVVgs0aaK2Oc6KHNGBA2o8pl6vfm7frr4s9O0LrFihLnxZuBBo354tsmRfxI5NmzZNWrduXexj+fn5otfrZdasWeZ9mZmZotPpZNGiRSIikpaWJq6urhIZGWmOOXfunLi4uEhUVJSIiBw8eFAASExMjDkmOjpaAMjhw4dFRGTt2rXi4uIi586dM8csW7ZMtFqtGI3Gcr0mo9EoAMr9ezazYoUIINKggUhenvWPn5cn0rmzeo4nnrD+8Qs7fVo9V82aIpmZlf98thQaql7rZ5/ZOhOissnPF9m4UaRvX/XeNd2aNROZNUukwN9goqpW1s9vu2+xOnbsGAwGA4KCgvD000/j5MmTAID4+HgkJSWhV69e5litVouQkBD89ddfAIDdu3cjJyfHIsZgMCA4ONgcEx0dDZ1Ohw4dOphjOnbsCJ1OZxETHBwMg8FgjunduzeysrKwe/fuynvx9sDUDfjMM+rborWZBrK7uAArVwLr11v/OQoydQO2aKFadaozDmAnR5GTAyxbplqfTOuOurio4Qfbt6vhApMnq/X8iOycXRdWHTp0wPfff48//vgDX375JZKSktC5c2ekpKQgKSkJABBQqE89ICDA/FhSUhLc3NzgU2gtuMIx/v7+RZ7b39/fIqbw8/j4+MDNzc0cU5KsrCykp6db3BxGcrL6AwdYvxuwoNat1RpdgPqZlVV5z+UM46tMOOUC2bsrV9Qs6E2bqvVH9+xRE3eOHq0WQ165Erj/fnb1kUOx68Kqb9++eOyxx9CyZUv06NEDv//+OwDgO9MM4AA0hf7DiUiRfYUVjikuviIxxZk5c6Z5ULxOp0ODBg1Kjbcry5apy5rvu+/Gh3RleecdNfD06FE1mV9lcabCii1WZK/OnVMtUA0aqDmmEhLUvFPvvqvWF124UF2AQeSA7LqwKszT0xMtW7bEsWPHzFcHFm4xSk5ONrcu6fV6ZGdnIzU1tdSYCxcuFHmuixcvWsQUfp7U1FTk5OQUackqbMqUKTAajebbmTNnyvGKbazgEjaVTadTk/kBwHvvqTW9KoMzFVamYvj0aS7GTPYhLg4YNgwIClIXrhiN6gvAl1+q9+mbbwJ16tg6S6Jb4lCFVVZWFg4dOoR69eohKCgIer0e6wuMycnOzsbWrVvRuXNnAEC7du3g6upqEZOYmIj9+/ebYzp16gSj0YidO3eaY3bs2AGj0WgRs3//fiQWuGx93bp10Gq1aHeTxYi1Wi28vb0tbg4hLg6IjVVzSz39dNU855AhQEiIKgLGjbP+8dPS1CzMgOp+rO7q1uVizGR7ImrsZJ8+QKtW6gtbTg7w4IPAL78ABw+qSYLd3W2dKZF1VMFA+gqbMGGCbNmyRU6ePCkxMTESFhYmXl5ecurUKRERmTVrluh0Olm9erXExcXJoEGDpF69epKenm4+xosvviiBgYGyYcMG2bNnj3Tr1k1at24tubm55pg+ffpIq1atJDo6WqKjo6Vly5YSFhZmfjw3N1eCg4Ole/fusmfPHtmwYYMEBgZKREREuV+Tw1wVOGmSuhrnkUeq9nn37xepUUM99++/W/fYW7eq4zZsaN3j2rOOHdVrXrHC1pmQs8nIEFm0SKRFixtX97m4iDz5pMiOHbbOjqjcyvr5bdeF1VNPPSX16tUTV1dXMRgM8uijj8qBAwfMj+fn58u0adNEr9eLVquVBx98UOLi4iyOcf36dYmIiBBfX1/x8PCQsLAwSUhIsIhJSUmRIUOGiJeXl3h5ecmQIUMkNTXVIub06dMSGhoqHh4e4uvrKxEREZJZgcv1HaKwys0VqVdP/SFcs6bqn3/CBPXct98ucv269Y47f7467oAB1jumvRs6VL3md9+1dSbkLE6fFnn1VREfnxsFVe3aImPGiJw8aevsiCqsrJ/fGhER27aZOZf09HTodDoYjUb77Rb84w/VbF+njpqEr6rX27pyRY0POn9eTRw6dap1jvvcc2ptsalT1XGdwcyZwOuvq25W00LaRNYmAvz5JzB/vlq7zzQBc5MmwJgxarkZnc62ORLdorJ+fjvUGCuqIqa5qwYNss0ipl5ewLx5anvmTOCfuctumTMNXDfhlAtUmbKy1N+L9u3VkjM//qiKqm7dgJ9/Vlf5jhvHooqcCgsrspSerr5xAlVzNWBJnnxSTRSYmQm8/PKtHy87Wy2RAThXYVVwygU2TpO1JCUB06cDjRoBQ4eq+afc3dUg9H37gI0bgQEDgBo1bJ0pUZVjYUWWVq1SV+XddZf6FmorGo2ay8bVFfjtN3X10K04fFgVV97eQOPGVknRIdx+u/pwu3qVizHTrRFRCx4/+yzQsKHqTr9wAQgMVC3LZ8+qaRNatrR1pkQ2xcKKLBWcu8rWsx3fdZdasR4Axo4Frl2r+LEKdgPa+nVVJa1WzRkEsDuQKub0aeD994G771aTBS9ZoqZL6NxZLdB+8iTw2mucf4roHyys6IZTp4CtW1Xh8cwzts5GefNNNTvz6dPqW3FFOeP4KhPTOCvOwE5lZTQCX30FdO2qWnjfeEOt1+furv427NqlBqs/+aRqVSYiMxZWdIPpqrFu3VQxYw88PYGPPlLbs2cDO3ZU7DjOXFiZxlmxxYpKk5MD/PqrKpYCAoCRI2980XroIeCbb1TX35Ilth0mQGTnato6AbITIjeuBrTloPXiPPKImv4hKkp1P4wZo9YWLOt0FSIsrAC2WFFRIsDOnepLVWQkcOnSjcfuvhsID1eLI9vLFy0iB8DCipSYGODYMdVC9Oijts7Gkkaj/vBHRKg//vPnq1Xv588HHnvs5mOmzpwBUlOBmjWBFi2qJmd7wikXqKCcHLXE0Y8/qv9XR4/eeCwgQBVS4eHONx6RyEpYWJFiaq167DGgdm3b5lKcOnWAZcvURIMvvQScOAE88YRqyfrkEzURYUlMrVUtWqjB3M7G1GJlWozZw8O2+VDlElEtTydP3rjFx9/YPnMGyM+/EV+rlmoVDg9XU5zU5McC0a3g/yBSk/xFRqpte+sGLKxXL2D/fmDWLDWYPSpKdVm8+SYwcWLxhZMzdwMCajFmHx/VanfsmFoIlxyfiBoDFRdXtHjKyCj9d93dgQceUMXUI4+oSXmJyCpYWJEasJqWpuaj6drV1tncnLu7mpxw8GDVerVxoyqsfvgB+Oyzoq/B2QsrjUa1WsXEqO5AFlaOLyEBeP55tfxUcTQaoH59NdVGkyY3bqb7AQGAC69dIqoMLKzoRjfgM8841kzJd94JrF+vughfeUUNzn7oIdXqNmcO4O+v4py9sALUOKuYGA5gd3QiahLOiRPVmppaLdC3r5oItmDx1KiR+gJCRFWOhZWzS04G/vtftW3v3YDF0WhUy1W/fmqunc8+U4Xir7+q7sInnlBdJADQurVtc7UlTrng+E6dUkvGbNyo7nfurKZAMP3bEpFdYGFVXfTrp77NenreuNWqVfx2wfu//w7k5gL33gs0b27rV1Fxt92mBrEPHQq8+CIQGwu88ALwwQfq8YYNAV9fm6ZoU5xywXHl56svDJMnq7FTHh5qJvQxYxyrhZnISbCwqi7Wr1cFUkU5YmtVce67T83L88knwFtvqYG8gHN3AwKWUy6I8DJ6R3HiBDBihBqkDgBduqhWqqZNbZsXEZWIhVV1IAIsXaq+zWZkqDX1TNuF7xe33aABMGSIrV+F9dSsCbz8MvD448C4cWq+nv79bZ2VbRVejNlgsHVGVJr8fGDBAuD119X/01q1VOvrSy9x0DmRnWNhVR1oNGosEVmqX19NJJqRobo9nZmbmxrYfOyY6g5kYWW/jh0DnnsO2L5d3X/oIbVuX2lztRGR3eBXH6r+nL2oMuEAdvuWlwd8+KGaDmP7djVR72efARs2sKgiciAsrIicBQew269Dh9SEnRMnApmZQM+eaiLcF19k1x+Rg+H/WCJnwTUD7U9yMjBhAtC2rZpnzNtbzVP1xx9qLioicjgcY0XkLNhiZT9SU4G5c9VC4qblZ/r2BT7/XF1MQkQOi4UVkbMwtVglJHAxZlu5ckUVU3PnAkaj2te+PfDee2odTE6DQeTw2BVI5Cz8/NRizCLqyjOqOteuqWIqKEjNr2Y0AsHBwJo1at613r1ZVBFVEyysiJyFRnOj1YrdgVUjKwtYuFDNIzZpEpCSota4XLYM+PtvYOBAFlRE1QwLKyJnwikXqkZOjpp76o471NIzSUlA48bA4sXAgQPA00/zaj+iaopjrIicCQewV668PCAyEpg+HTh+XO0zGFT333PPqYlaiahaY2FF5Ew45ULluHZNFVQffggcPKj21a0LTJmi5qLihQJEToOFFZEzKdgVyMWYb92xY8CiRaqLLzVV7bvtNuDVV1UXYO3aNk2PiKoeCysiZ1JwMebz59V6ilQ+eXnA778Dn36qJvI0CQpSrVPPP6+KKyJySiysiJxJwcWYjxxhYVUeycnA11+rFqqEBLVPo1ETe44eraZMqFHDtjkSkc2xsCJyNnfdpQqrw4eBbt1snY19EwGio1Xr1MqVQHa22u/rC4wYoVqouEAyERXAworI2TRrBvz6KwewlyYjA1i6VBVUe/fe2H/ffap16oknOCCdiIrFworI2XDKheLl5ACbNwMrVgA//nhjyRl3d2DQIOCll9TyM0REpWBhReRsOOXCDbm5qphauRJYvVrNjG5y++3AqFHA8OGq64+IqAxYWBE5G1OLVUKCmn+pVi3b5lPVcnOBrVtVy9Tq1cClSzceq1sXeOwx1dXXtStnRyeicmNhReRs/PxUC8zly2oQe+vWts6o8uXmAtu23SimLl688Zif341iKiQEqMk/i0RUcfwLQuRsNBrVahUdrboDq2thlZmpXuPKlcCqVWq6BJM6dSxbplhMEZGV8K8JkTO66y5VdFSHAewZGep1HDxoeTt5EsjPvxFXpw7wyCPAk0+qYsrV1WYpE1H1xcKKyBkVXNrGUaSnA4cOFS2gTp0q+Xfq1gUGDFDF1EMPsZgiokrHworIGdnzlAsiQHw8EBurbnv2AHFxwNmzJf+Ovz/QokXRm78/10MkoirFworIGZmmXIiNVUVWYGDJNz+/yitOcnNVq9mePTcKqb17gbS04uMNhqLFU/PmKkciIjvAworIGTVtqoqSgweBo0fVrSRarVpT0FRo1a+vChmtVq09aPppuhW8X3j78mXLlqh9+9Qg88Lc3IDgYOCee4C2bYE2bVS+XNyYiOwcCysiZ1SzpmoZOn1adbEVvp07p35euABkZamB4CdPVk4utWurwqlt2xuFVPPmqrgiInIwLKyInJWrq2q5atq05JjsbCAxsWjhlZqqHsvKUj9L2i68r1YtNb2DqYBq21Y9PyfiJKJqgoUVEZXMzQ1o1EjdiIjopvg1kYiIiMhKWFgRERERWQkLKyIiIiIrYWFFREREZCUsrIiIiIishIUVERERkZWwsCIiIiKyEhZWRERERFbCwoqIiIjISlhYEREREVkJCysiIiIiK2FhRURERGQlLKyIiIiIrISFFREREZGV1LR1As5GRAAA6enpNs6EiIiIysr0uW36HC8JC6sqduXKFQBAgwYNbJwJERERldeVK1eg0+lKfFwjNyu9yKry8/Nx/vx5eHl5QaPRWO246enpaNCgAc6cOQNvb2+rHbc64LkpHs9L8XheSsZzUzyel5JVp3MjIrhy5QoMBgNcXEoeScUWqyrm4uKCwMDASju+t7e3w795KwvPTfF4XorH81Iynpvi8byUrLqcm9Jaqkw4eJ2IiIjISlhYEREREVkJC6tqQqvVYtq0adBqtbZOxe7w3BSP56V4PC8l47kpHs9LyZzx3HDwOhEREZGVsMWKiIiIyEpYWBERERFZCQsrIiIiIithYUVERERkJSys7Mi2bdvQv39/GAwGaDQa/PTTTxaPX7hwAcOGDYPBYECtWrXQp08fHDt2zCLmxIkTeOSRR1C3bl14e3vjySefxIULFyxiUlNTER4eDp1OB51Oh/DwcKSlpVXyq6u4qjovjRs3hkajsbi99tprlf3yKmzmzJm499574eXlBX9/fwwcOBBHjhyxiBERTJ8+HQaDAR4eHujatSsOHDhgEZOVlYUxY8bAz88Pnp6eGDBgAM6ePWsR42jvmao8N470vrHWefniiy/QtWtXeHt7Q6PRFPtecNb3TFnOjbO9Zy5fvowxY8agWbNmqFWrFho2bIixY8fCaDRaHMfR3jMlYWFlRzIyMtC6dWssXLiwyGMigoEDB+LkyZP4+eefERsbi0aNGqFHjx7IyMgw/36vXr2g0WiwadMm/Pnnn8jOzkb//v2Rn59vPtbgwYOxd+9eREVFISoqCnv37kV4eHiVvc7yqqrzAgDvvPMOEhMTzbc333yzSl5jRWzduhWjR49GTEwM1q9fj9zcXPTq1cv8ugFg9uzZmDdvHhYuXIhdu3ZBr9ejZ8+e5jUrAWDcuHFYs2YNIiMjsX37dly9ehVhYWHIy8szxzjae6Yqzw3gOO8ba52Xa9euoU+fPnj99ddLfC5nfc+U5dwAzvWeOX/+PM6fP4+5c+ciLi4O3377LaKiojBixAiL53K090yJhOwSAFmzZo35/pEjRwSA7N+/37wvNzdXfH195csvvxQRkT/++ENcXFzEaDSaYy5fviwAZP369SIicvDgQQEgMTEx5pjo6GgBIIcPH67kV3XrKuu8iIg0atRI/v3vf1f6a6gsycnJAkC2bt0qIiL5+fmi1+tl1qxZ5pjMzEzR6XSyaNEiERFJS0sTV1dXiYyMNMecO3dOXFxcJCoqSkQc/z0jUnnnRsSx3zcVOS8Fbd68WQBIamqqxX5nfc8UVNK5EXHu94zJihUrxM3NTXJyckSkerxnTNhi5SCysrIAAO7u7uZ9NWrUgJubG7Zv326O0Wg0FhOxubu7w8XFxRwTHR0NnU6HDh06mGM6duwInU6Hv/76qypeilVZ67yYfPDBB6hTpw7atGmDGTNmIDs7uwpehXWYmtV9fX0BAPHx8UhKSkKvXr3MMVqtFiEhIeZ/6927dyMnJ8cixmAwIDg42BxTHd4zlXVuTBz1fVOR81IWzvqeKQ9nf88YjUZ4e3ujZk21ZHF1eM+YsLByEHfddRcaNWqEKVOmIDU1FdnZ2Zg1axaSkpKQmJgIQL0JPT09MXnyZFy7dg0ZGRmYNGkS8vPzzTFJSUnw9/cvcnx/f38kJSVV6WuyBmudFwB4+eWXERkZic2bNyMiIgIfffQRXnrpJVu9tHIREYwfPx4PPPAAgoODAcD87xkQEGARGxAQYH4sKSkJbm5u8PHxKTXGkd8zlXluAMd931T0vJSFs75nysrZ3zMpKSl499138cILL5j3Ofp7pqCatk6AysbV1RWrVq3CiBEj4Ovrixo1aqBHjx7o27evOaZu3bpYuXIlRo0ahY8//hguLi4YNGgQ7rnnHtSoUcMcp9FoihxfRIrdb++seV5eeeUV83arVq3g4+ODxx9/3PzN0p5FRERg3759RVrggKL/3mX5ty4c48jvmco+N476vrH2ebnZMSp6HFuo7HPjzO+Z9PR0hIaGokWLFpg2bVqpxyjtOPaMLVYOpF27dti7dy/S0tKQmJiIqKgopKSkICgoyBzTq1cvnDhxAsnJybh06RKWLFmCc+fOmWP0en2Rq+EA4OLFi0W+cTgKa5yX4nTs2BEAcPz48Up/DbdizJgx+OWXX7B582YEBgaa9+v1egAo8m0vOTnZ/G+t1+uRnZ2N1NTUUmMc9T1T2eemOI7wvrmV81IWzvqeqShnec9cuXIFffr0Qe3atbFmzRq4urpaHMdR3zNFVP2wLioLFBqkXZyjR4+Ki4uL/PHHHyXGbNy4UTQajXnwn2mA4I4dO8wxMTExDjNAsLLOS3F+/fVXASCnT5+uaLqVKj8/X0aPHi0Gg0GOHj1a7ON6vV4++OAD876srKxiB2gvX77cHHP+/PliB6870numqs5Ncez5fWON81LQzQavO9t7pqDSBq8X5gzvGaPRKB07dpSQkBDJyMgochxHfM+UhIWVHbly5YrExsZKbGysAJB58+ZJbGys+T/bihUrZPPmzXLixAn56aefpFGjRvLoo49aHOObb76R6OhoOX78uCxZskR8fX1l/PjxFjF9+vSRVq1aSXR0tERHR0vLli0lLCysyl5neVXFefnrr7/Mxz158qQsX75cDAaDDBgwoEpfa3mMGjVKdDqdbNmyRRITE823a9eumWNmzZolOp1OVq9eLXFxcTJo0CCpV6+epKenm2NefPFFCQwMlA0bNsiePXukW7du0rp1a8nNzTXHONp7pqrOjaO9b6x1XhITEyU2Nla+/PJLASDbtm2T2NhYSUlJMcc463vmZufGGd8z6enp0qFDB2nZsqUcP37c4jiO/HemJCys7IjpG07h29ChQ0VEZP78+RIYGCiurq7SsGFDefPNNyUrK8viGJMnT5aAgABxdXWVO+64Qz788EPJz8+3iElJSZEhQ4aIl5eXeHl5yZAhQ8r0rcpWquK87N69Wzp06CA6nU7c3d2lWbNmMm3atGK/WdmL4s4JAFm8eLE5Jj8/X6ZNmyZ6vV60Wq08+OCDEhcXZ3Gc69evS0REhPj6+oqHh4eEhYVJQkKCRYyjvWeq6tw42vvGWudl2rRpNz2Os75nbnZunPE9U9LfcAASHx9vjnO090xJNCIiFexFJCIiIqICOHidiIiIyEpYWBERERFZCQsrIiIiIithYUVERERkJSysiIiIiKyEhRURERGRlbCwIiIiIrISFlZEREREVsLCioioEBFBjx490Lt37yKPffrpp9DpdEhISLBBZkRk71hYEREVotFosHjxYuzYsQOff/65eX98fDwmT56M+fPno2HDhlZ9zpycHKsej4hsg4UVEVExGjRogPnz52PixImIj4+HiGDEiBHo3r077rvvPvTr1w+1a9dGQEAAwsPDcenSJfPvRkVF4YEHHsBtt92GOnXqICwsDCdOnDA/furUKWg0GqxYsQJdu3aFu7s7fvjhB1u8TCKyMq4VSERUioEDByItLQ2PPfYY3n33XezatQvt27fHyJEj8eyzz+L69euYPHkycnNzsWnTJgDAqlWroNFo0LJlS2RkZGDq1Kk4deoU9u7dCxcXF5w6dQpBQUFo3LgxPvzwQ7Rt2xZarRYGg8HGr5aIbhULKyKiUiQnJyM4OBgpKSn48ccfERsbix07duCPP/4wx5w9exYNGjTAkSNHcOeddxY5xsWLF+Hv74+4uDgEBwebC6uPPvoIL7/8clW+HCKqZOwKJCIqhb+/P55//nk0b94cjzzyCHbv3o3Nmzejdu3a5ttdd90FAObuvhMnTmDw4MFo0qQJvL29ERQUBABFBry3b9++al8MEVW6mrZOgIjI3tWsWRM1a6o/l/n5+ejfvz8++OCDInH16tUDAPTv3x8NGjTAl19+CYPBgPz8fAQHByM7O9si3tPTs/KTJ6IqxcKKiKgc7rnnHqxatQqNGzc2F1sFpaSk4NChQ/j888/RpUsXAMD27durOk0ishF2BRIRlcPo0aNx+fJlDBo0CDt37sTJkyexbt06PPfcc8jLy4OPjw/q1KmDL774AsePH8emTZswfvx4W6dNRFWEhRURUTkYDAb8+eefyMvLQ+/evREcHIyXX34ZOp0OLi4ucHFxQWRkJHbv3o3g4GC88sormDNnjq3TJqIqwqsCiYiIiKyELVZEREREVsLCioiIiMhKWFgRERERWQkLKyIiIiIrYWFFREREZCUsrIiIiIishIUVERERkZWwsCIiIiKyEhZWRERERFbCwoqIiIjISlhYEREREVkJCysiIiIiK/l/oL28hHh9cxYAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "# define data variables\n",
    "years = [1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022]\n",
    "countries = [\"Austria\", \"Belgium\", \"Bulgaria\", \"Croatia\", \"Cyprus\", \"Czechia\", \"Denmark\", \"Estonia\", \"Finland\", \"France\", \"Germany\", \"Greece\", \"Hungary\", \"Ireland\", \"Italy\", \"Latvia\", \"Lithuania\", \"Luxembourg\", \"Malta\", \"Netherlands\", \"Poland\", \"Portugal\", \"Romania\", \"Slovak Republic\", \"Slovenia\", \"Spain\", \"Sweden\", \"United Kingdom\",]\n",
    "refugees = np.loadtxt(\"data/refugees-europe_0.txt\") # data from World Bank\n",
    "\n",
    "\n",
    "for row in range(3):\n",
    "    # create axes object\n",
    "    figure = plt.figure()\n",
    "    axes = figure.subplots()\n",
    "    # plot the data\n",
    "    axes.plot(years, refugees[row], color=\"r\")\n",
    "    # add labels and title\n",
    "    axes.set_xlabel(\"Year\")\n",
    "    axes.set_ylabel(\"Refugees\")\n",
    "    axes.set_title(\"Refugees in row \"+countries[row])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "id": "8521a963",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "France 225212\n",
      "Germany 900264\n",
      "Sweden 154282\n",
      "United Kingdom 171312\n"
     ]
    }
   ],
   "source": [
    "for idx, mean in enumerate(refugees.mean(axis=1)):\n",
    "    if mean > 100_000:\n",
    "        print(countries[idx], int(mean))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "id": "37e2e3fa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "France 225212\n",
      "Germany 900264\n",
      "Sweden 154282\n",
      "United Kingdom 171312\n"
     ]
    }
   ],
   "source": [
    "for country, mean in zip(countries, refugees.mean(axis=1)):\n",
    "    if mean > 100_000:\n",
    "        print(country, int(mean))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "id": "28ff3685",
   "metadata": {},
   "outputs": [],
   "source": [
    "my_number = 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "id": "3635ca43",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "large\n"
     ]
    }
   ],
   "source": [
    "if my_number < 0:\n",
    "    print(\"negative\")\n",
    "elif my_number == 0:\n",
    "    print(\"zero\")\n",
    "elif 0 < my_number <=3:\n",
    "    print(\"small\")\n",
    "else:\n",
    "    print(\"large\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "id": "f6c985e3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "it's an int!\n"
     ]
    }
   ],
   "source": [
    "if type(my_number) is int:\n",
    "    print(\"it's an int!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "id": "86c3fb8f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I found an int\n"
     ]
    }
   ],
   "source": [
    "if type(my_number) is int or my_number in range(4):\n",
    "    print(\"I found an int\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "id": "993d8784",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "good\n"
     ]
    }
   ],
   "source": [
    "if np.sqrt(2**2) == 2:\n",
    "    print(\"good\")\n",
    "else:\n",
    "    print(\"not so good\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "id": "3db3b1bc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.float64(2.0)"
      ]
     },
     "execution_count": 233,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sqrt(2**2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 237,
   "id": "e355c453",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ignoring Austria\n",
      "ignoring Belgium\n",
      "ignoring Bulgaria\n",
      "ignoring Croatia\n",
      "ignoring Cyprus\n",
      "ignoring Czechia\n",
      "ignoring Denmark\n",
      "ignoring Estonia\n",
      "ignoring Finland\n",
      "ignoring Greece\n",
      "ignoring Hungary\n",
      "ignoring Ireland\n",
      "ignoring Italy\n",
      "ignoring Latvia\n",
      "ignoring Lithuania\n",
      "ignoring Luxembourg\n",
      "ignoring Malta\n",
      "ignoring Netherlands\n",
      "ignoring Poland\n",
      "ignoring Portugal\n",
      "ignoring Romania\n",
      "ignoring Slovak Republic\n",
      "ignoring Slovenia\n",
      "ignoring Spain\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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LlgAACgoKMGTIENx+++3Yvn07Dhw4gClTpsDLywuzZ8+278EhIiKimvvlF/X11lsBnU67PMSB5OTkCADZuHHjRWPGjh0rgwYNstkWGhoqM2bMuOhz9u7dKwAkKSnJui0xMVEAyL59+0REZO3ateLm5iYZGRnWmOXLl4terxez2SwiIkuXLhWDwSDFxcXWmOjoaDGZTFJZWVmj12g2mwWAdZ9ERERkB2PGiAAir71WL7uv6ee3Q82xMpvNAABfX99qHz927Bh++OEHPPzww1UeW7ZsGfz8/HDzzTdjzpw5KCwstD6WmJgIg8GA3r17W7f16dMHBoMBW7ZsscYEBwfDZDJZY4YNG4aSkhLs2LHDGhMaGgq9Xm8Tk5mZiSMXOZ9bUlKCgoICmxsRERHZkYjtiJWGND0VeD4RwaxZs3DbbbchODi42phPPvkE3t7eGD9+vM328PBwtG/fHkajEampqZg7dy5+++03xMXFAQCys7Ph7+9fZX/+/v7Izs62xgQEBNg83rJlS3h4eNjEtGvXzibG8pzs7Gy0b9++ys+Ijo7GCy+8UIMjQERERHWyfz+Qmws0awb06KFpKg5TWEVFRWH37t3YvHnzRWP++9//Ijw8HM2aNbPZHhkZab0fHByMjh07omfPnti5cyd6nD3AumrOt4qIzfa6xMjZievVPRcA5s6di1mzZlm/LygoQJs2bS76GomIiKiWLKNVvXoB551V0oJDnAqcNm0a1qxZg4SEBAQFBVUb8/PPP2P//v145JFHLru/Hj16wN3dHQcPHgQAGI1GHDt2rErc8ePHrSNORqPROjJlkZeXh7KyskvG5OTkAECV0S4LvV4PHx8fmxsRERHZkWVQ5rbbtM0DGhdWIoKoqCisWrUK69evr/ZUmsWHH36IkJAQdO3a9bL73bNnD8rKyhAYGAgA6Nu3L8xmM7Zt22aN2bp1K8xmM/r162eNSU1NtbkKMTY2Fnq9HiEhIdaYTZs22bRgiI2NhclkqnKKkIiIiBqIg8yvAgCdiHZNmJ544gl8/vnn+Pbbb9GpUyfrdoPBYNMuoaCgAIGBgVi0aBEee+wxm30cOnQIy5Ytw8iRI+Hn54e9e/di9uzZ8PT0xPbt29GkSRMAwIgRI5CZmYl3330XgGq30LZtW5t2C926dUNAQABee+01nDx5ElOmTMG4ceOs7RbMZjM6deqEQYMG4dlnn8XBgwcxZcoUPP/88zVut1BQUACDwQCz2czRKyIioit17BhgNKr7J0+qPlb1oMaf3/VyTWINAaj29tFHH9nEvfvuu+Lp6Sn5+flV9pGeni4DBgwQX19f8fDwkA4dOsj06dMlNzfXJi43N1fCw8PF29tbvL29JTw8XPLy8mxi0tLSJCwsTDw9PcXX11eioqJsWiuIiOzevVv69+8ver1ejEajzJ8/v8atFkTYboGIiMiuVq1SbRZuvrlef0xNP781HbFyRRyxIiIisqPZs4HFi4FHHwXeeafefkxNP78dYvI6ERERUZ040PwqgIUVEREROavTp9UagYBDXBEIsLAiIiIiZ7V9O1BeDgQGAg5ydT4LKyIiInJO5/ev0nLh5fOwsCIiIiLnZJlf5SCnAQEWVkREROSMKiuBLVvUfQeZuA6wsCIiIiJntGcPYDYDXl5ADVZlaSgsrIiIiMj5WOZX9ekDNG2qbS7nYWFFREREzscB51cBLKyIiIjIGVlGrBxofhXAwoqIiIiczV9/AWlpgJubOhXoQFhYERERkXOxnAbs2hXw9tY2lwuwsCIiIiLn4qDzqwAWVkRERORsHHR+FcDCioiIiJxJYSHw22/qPgsrIiIioiuQlKS6rrdtCwQFaZ1NFSysiIiIyHk48PwqgIUVERERORMHnl8FsLAiIiIiZ1Ferk4FAhyxIiIiIroiv/0GFBUBBgNw881aZ1MtFlZERETkHCzzq/r1U13XHZBjZkVERER0IQefXwWwsCIiIiJnIOLwVwQCLKyIiIjIGRw5AmRmAk2bAr16aZ3NRbGwIiIiIsdnGa0KCQGaN9c2l0tgYUVERESOzwnmVwEsrIiIiMgZOMH8KoCFFREREV3Krl3APfcAb76pGnRqIS8PSE1V9/v10yaHGmJhRURERFUVFwNz56qJ4l9/DcycCfTuDezY0fC5JCaqrx07AgEBDf/za4GFFREREdnavBno2hV4+WWgogIYNgxo2RLYuRO45RZg9mzg1KmGzQdw+PlVgMaFVXR0NHr16gVvb2/4+/tj3Lhx2L9/v03MlClToNPpbG59+vSxiSkpKcG0adPg5+cHLy8vjBkzBn/99ZdNTF5eHiIiImAwGGAwGBAREYH8/HybmPT0dIwePRpeXl7w8/PD9OnTUVpaahOTkpKC0NBQeHp6onXr1liwYAFExH4HhYiISCunTgHTpgEDBgAHDgBGI7BqFRATA/z+O3DffUBlJbB4MRAcDKxd2zB5Ocn8KkDjwmrjxo2YOnUqkpKSEBcXh/LycgwdOhRFRUU2ccOHD0dWVpb1tvaCX+TMmTOxevVqrFixAps3b8apU6cwatQoVFRUWGMmTZqE5ORkxMTEICYmBsnJyYiIiLA+XlFRgbCwMBQVFWHz5s1YsWIFVq5cidmzZ1tjCgoKMGTIEJhMJmzfvh1LlizBwoULsXjx4no6QkRERA0kNlYVS2+/rZpxPvggsHcvcOed6vGAAODzz4EffwTatQPS0oCwMGDiRCA7u/7yKi0Ftm1T951gxAriQHJycgSAbNy40bpt8uTJMnbs2Is+Jz8/X9zd3WXFihXWbRkZGeLm5iYxMTEiIrJ3714BIElJSdaYxMREASD79u0TEZG1a9eKm5ubZGRkWGOWL18uer1ezGaziIgsXbpUDAaDFBcXW2Oio6PFZDJJZWVljV6j2WwWANZ9EhERaerkSZEpU0RUOSXStq1IbOyln3PqlMicOSJubuo5LVqIvP++SEWF/fNLTFQ/o1UrkRp+1taHmn5+O9QcK7PZDADw9fW12b5hwwb4+/vj+uuvR2RkJHJycqyP7dixA2VlZRg6dKh1m8lkQnBwMLZs2QIASExMhMFgQO/eva0xffr0gcFgsIkJDg6GyWSyxgwbNgwlJSXYcXaiXmJiIkJDQ6HX621iMjMzceTIETsdBSIiogayahVw003Axx8DOh0wfbq6+m7IkEs/z8sLeO01YPt21bAzPx+IjAQGDgT27bNvjufPr9Lp7LvveuAwhZWIYNasWbjtttsQHBxs3T5ixAgsW7YM69evx6JFi7B9+3YMGjQIJSUlAIDs7Gx4eHigZcuWNvsLCAhA9tmhyezsbPj7+1f5mf7+/jYxARdcadCyZUt4eHhcMsbyffZFhkFLSkpQUFBgcyMiItLUsWOqhcJdd6nTeJ06AT//rFoqXHVVzffToweQlKTmXDVvrvbRtSvwwgvA2c/pK+ZE86sAByqsoqKisHv3bixfvtxm+7333ouwsDAEBwdj9OjR+PHHH3HgwAH88MMPl9yfiEB3XmWrq6bKtUeMnJ24Xt1zATVB3zJh3mAwoE2bNpfMm4iIqN6IAJ9+Ctx4o2qh0KQJ8OyzQHJy3ecvNW0KPPmkmo81cqSaEzV/PtCtmyq0rjRfS2HlDPOr4CCF1bRp07BmzRokJCQgKCjokrGBgYFo27YtDh48CAAwGo0oLS1FXl6eTVxOTo51NMloNOLYsWNV9nX8+HGbmAtHnfLy8lBWVnbJGMtpyQtHsizmzp0Ls9lsvR09evSSr4+IiKheHDumJptPnqwabnbrpk7lvfgi0KzZle+/bVvg+++BL75QE9337VNXF86cWffGogcPAsePA3q9OuXoBDQtrEQEUVFRWLVqFdavX4/27dtf9jm5ubk4evQoAgMDAQAhISFwd3dHXFycNSYrKwupqanod7Y7a9++fWE2m7HNclUBgK1bt8JsNtvEpKamIisryxoTGxsLvV6PkLO/zL59+2LTpk02LRhiY2NhMpnQrl27avPV6/Xw8fGxuRERETWolBTVf+rHH1WR8tJL6kq77t3t+3N0OmDCBNWaITJSbXvzTWD8eOCCK/5rxDK/qlcvlbczqPdp9Jfw+OOPi8FgkA0bNkhWVpb1dvr0aRERKSwslNmzZ8uWLVvk8OHDkpCQIH379pXWrVtLQUGBdT+PPfaYBAUFSXx8vOzcuVMGDRokXbt2lfLycmvM8OHDpUuXLpKYmCiJiYnSuXNnGTVqlPXx8vJyCQ4OljvuuEN27twp8fHxEhQUJFFRUdaY/Px8CQgIkPvuu09SUlJk1apV4uPjIwsXLqzxa+ZVgURE1KB++EHkqqvUlXUdO4rs2dNwP/vrr0WaNVM/u1cvkezs2j3/oYfUc//+9/rJrxZq+vmtaWEFoNrbRx99JCIip0+flqFDh8rVV18t7u7ucs0118jkyZMlPT3dZj9nzpyRqKgo8fX1FU9PTxk1alSVmNzcXAkPDxdvb2/x9vaW8PBwycvLs4lJS0uTsLAw8fT0FF9fX4mKirJprSAisnv3bunfv7/o9XoxGo0yf/78GrdaEGFhRUREDeitt861RBg4UCQ3t+Fz+OUX1SoBEGnfXuRsm6Mauf569bzvvqu//Gqopp/fOhG2DW9IBQUFMBgMMJvNPC1IRET1o7xczW36v/9T3z/0EPCf/wAeHtrkc+AAMGIE8OefgK8vsGbN5SejHz8OWK7oz81Vz9NQTT+/HWLyOhEREdmJ2QyMGqWKKp0OeOUV4IMPtCuqAOD669VCyrfcApw8Cdxxh7oq8VIsVwPedJPmRVVtsLAiIiJqLA4fBvr1A9atU32lVq4Enn7aMRpr+vsDCQnA2LGqx9WECcDrr1883sn6V1mwsCIiImoMtmwBevdW/aRMJtVDyrLOn6OwFHtTp6oeVbNmqVOW563ta3V+x3UnwsKKiIjI2X3+OTBokJqX1L27aqXQo4fWWVWvSRNgyRK1JA6g2jHccw9w5sy5mDNngLPLyXHEioiIiBqGiOpyHh6uTq+NHQts2gS0bq11Zpem0wFz5gArVqi5X6tXnysMAdW4tKwMMBqBGvS4dCQsrIiIiJxRcbEqqF54QX3/1FNqUeXarPWntXvvBeLjgZYt1ZqD/foBf/xhO7/KEeaH1UJTrRMgIiKiWjp2DBg3ThUjTZsC77wDPPyw1lnVTf/+qpAaOVIVVX37qpEqwOnmVwEcsSIiInIuBw+qSepJSWqkJzbWeYsqixtvVO0YQkKAEyeA1FS13cnmVwEsrIiIiJxHQQEwejSQlgZcd50qrm6/Xeus7MNoBDZsUAtFA+qUZteumqZUFzwVSERE5AwqK4EHHgD27weCglQ7goAArbOyr6uuAr75RjU37dgRcHfXOqNaY2FFRETkDF56Cfj2W3UV3cqVja+osmjaFJgxQ+ss6oynAomIiBzdjz8Czz+v7i9dqpaGIYfEwoqIiMiR/fEHMGmS6ln16KPOP1G9kWNhRURE5KhOnVLL0uTnqzYEb76pdUZ0GSysiIiIHJGIGp1KTVVXzH39NaDXa50VXQYLKyIiIke0aBHw5ZdqMvdXX6mFlcnhsbAiIiJyND/9BDzzjLr/xhtO2SjTVbGwIiIiciRpaWoNvcpKYPJk4IkntM6IaoGFFRERkaM4cwYYPx7IzVXLu/znP063CLGrY2FFRETkCESAxx4Ddu4E/PyAVasAT0+ts6JaYmFFRETkCP7v/4BPPwXc3IAvvgCuuUbrjKgOWFgRERFp7eefgSefVPdffRUYNEjbfKjOWFgRERFpKSMDuOceoLwcmDgRmDVL64zoCrCwIiIi0kpJCXD33cCxY0CXLsAHH3CyupNjYUVERKSVGTOApCSgRQs1Wd3LS+uM6AqxsCIiItLCF18A776rRqiWLwc6dNA6I7IDFlZERERa+Ppr9XX2bGD4cG1zIbthYUVERKSFP/5QX0NDtc2D7IqFFRERUUMTOVdYdeyobS5kVyysiIiIGlpODnDqlGoG2q6d1tmQHWlaWEVHR6NXr17w9vaGv78/xo0bh/3791sfLysrwzPPPIPOnTvDy8sLJpMJDzzwADIzM232M3DgQOh0OpvbxIkTbWLy8vIQEREBg8EAg8GAiIgI5Ofn28Skp6dj9OjR8PLygp+fH6ZPn47S0lKbmJSUFISGhsLT0xOtW7fGggULICL2PTBERNS4HTyovl5zDaDXa5sL2ZWmhdXGjRsxdepUJCUlIS4uDuXl5Rg6dCiKiooAAKdPn8bOnTvx3HPPYefOnVi1ahUOHDiAMWPGVNlXZGQksrKyrLd3333X5vFJkyYhOTkZMTExiImJQXJyMiIiIqyPV1RUICwsDEVFRdi8eTNWrFiBlStXYvbs2daYgoICDBkyBCaTCdu3b8eSJUuwcOFCLF68uJ6OEBERNUqW04DXXadtHmR/4kBycnIEgGzcuPGiMdu2bRMAkpaWZt0WGhoqM2bMuOhz9u7dKwAkKSnJui0xMVEAyL59+0REZO3ateLm5iYZGRnWmOXLl4terxez2SwiIkuXLhWDwSDFxcXWmOjoaDGZTFJZWVmj12g2mwWAdZ9EROSC/vEPEUDksce0zoRqqKaf3w41x8psNgMAfH19Lxmj0+nQokULm+3Lli2Dn58fbr75ZsyZMweFhYXWxxITE2EwGNC7d2/rtj59+sBgMGDLli3WmODgYJhMJmvMsGHDUFJSgh07dlhjQkNDoT9v2HbYsGHIzMzEkSNH6vy6iYjIxXDEqtFqqnUCFiKCWbNm4bbbbkNwcHC1McXFxfj73/+OSZMmwcfHx7o9PDwc7du3h9FoRGpqKubOnYvffvsNcXFxAIDs7Gz4+/tX2Z+/vz+ys7OtMQEBATaPt2zZEh4eHjYx7S6YZGh5TnZ2Ntq3b1/lZ5SUlKCkpMT6fUFBweUOBRERNXa8IrDRcpjCKioqCrt378bmzZurfbysrAwTJ05EZWUlli5davNYZGSk9X5wcDA6duyInj17YufOnejRowcAQFfN2ksiYrO9LjFyduJ6dc8F1AT9F154odrHiIjIBYmcm7zOEatGxyFOBU6bNg1r1qxBQkICgoKCqjxeVlaGCRMm4PDhw4iLi7MZrapOjx494O7ujoNn37hGoxHHjh2rEnf8+HHriJPRaLSOTFnk5eWhrKzskjE5OTkAUGW0y2Lu3Lkwm83W29GjRy+ZOxERNXInTgAFBWopm2uv1TobsjNNCysRQVRUFFatWoX169dXeyrNUlQdPHgQ8fHxaNWq1WX3u2fPHpSVlSEwMBAA0LdvX5jNZmzbts0as3XrVpjNZvTr188ak5qaiqysLGtMbGws9Ho9QkJCrDGbNm2yacEQGxsLk8lU5RShhV6vh4+Pj82NiIhcmOU0YFAQ0KyZtrmQ3WlaWE2dOhX/+9//8Pnnn8Pb2xvZ2dnIzs7GmTNnAADl5eW4++678euvv2LZsmWoqKiwxliKm0OHDmHBggX49ddfceTIEaxduxb33HMPunfvjltvvRUAcOONN2L48OGIjIxEUlISkpKSEBkZiVGjRqFTp04AgKFDh+Kmm25CREQEdu3ahZ9++glz5sxBZGSktRiaNGkS9Ho9pkyZgtTUVKxevRovvfQSZs2addFTgURERDY4cb1xq/8LFC8OQLW3jz76SEREDh8+fNGYhIQEERFJT0+XAQMGiK+vr3h4eEiHDh1k+vTpkpuba/OzcnNzJTw8XLy9vcXb21vCw8MlLy/PJiYtLU3CwsLE09NTfH19JSoqyqa1gojI7t27pX///qLX68VoNMr8+fNr3GpBhO0WiIhc3vPPq1YLkZFaZ0K1UNPPb50I24Y3pIKCAhgMBpjNZp4WJCJyReHhwOefA6++Cjz1lNbZUA3V9PPbISavExERuQxeEdiosbAiIiJqSJxj1aixsCIiImooJ08CeXnqPlstNEosrIiIiBqKZbTKZAK8vLTNheoFCysiIqKGwtOAjR4LKyIioobCNQIbPRZWREREDYVXBDZ6LKyIiIgaCk8FNnosrIiIiBoKC6tGj4UVERFRQ8jPB06cUPc7dNA0Fao/LKyIiIgawqFD6qvRCHh7a5sL1RsWVkRERA2BpwFdAgsrIiKihsArAl0CCysiIqKGwBErl8DCioiIqCGwsHIJLKyIiIgaAgsrl8DCioiIqL4VFgLHjqn7LKwaNRZWRERE9c0yWnX11YDBoG0uVK9YWBEREdU3ngZ0GSysiIiI6hsLK5fBwoqIiKi+sbByGSysiIiI6hsLK5fBwoqIiKi+WQqrjh21zYPqHQsrIiKi+lRUBGRmqvscsWr0WFgRERHVp0OH1FdfX6BlS21zoXrHwoqIiKg+cX6VS2FhRUREVJ9YWLkUFlZERET1iYWVS2FhRUREVJ94RaBLYWFFRERUnw4eVF85YuUSNC2soqOj0atXL3h7e8Pf3x/jxo3D/v37bWJEBPPnz4fJZIKnpycGDhyIPXv22MSUlJRg2rRp8PPzg5eXF8aMGYO//vrLJiYvLw8REREwGAwwGAyIiIhAfn6+TUx6ejpGjx4NLy8v+Pn5Yfr06SgtLbWJSUlJQWhoKDw9PdG6dWssWLAAImK/g0JERI3HmTOA5fOIhZVL0LSw2rhxI6ZOnYqkpCTExcWhvLwcQ4cORVFRkTXm1VdfxeLFi/H2229j+/btMBqNGDJkCAoLC60xM2fOxOrVq7FixQps3rwZp06dwqhRo1BRUWGNmTRpEpKTkxETE4OYmBgkJycjIiLC+nhFRQXCwsJQVFSEzZs3Y8WKFVi5ciVmz55tjSkoKMCQIUNgMpmwfft2LFmyBAsXLsTixYvr+UgREZFT+vNP9dVgAFq10jYXahjiQHJycgSAbNy4UUREKisrxWg0yssvv2yNKS4uFoPBIO+8846IiOTn54u7u7usWLHCGpORkSFubm4SExMjIiJ79+4VAJKUlGSNSUxMFACyb98+ERFZu3atuLm5SUZGhjVm+fLlotfrxWw2i4jI0qVLxWAwSHFxsTUmOjpaTCaTVFZW1ug1ms1mAWDdJ9XQkSMizz4r8n//J/LLLyIFBVpnRER0ed98IwKIhIRonQldoZp+fjvUHCuz2QwA8PX1BQAcPnwY2dnZGDp0qDVGr9cjNDQUW7ZsAQDs2LEDZWVlNjEmkwnBwcHWmMTERBgMBvTu3dsa06dPHxgMBpuY4OBgmEwma8ywYcNQUlKCHTt2WGNCQ0Oh1+ttYjIzM3HkyBF7Hgq60PPPAy+9BEydCtx6K+Djo4bV77oL+Ne/gDVrgLQ0gKdliciRcOK6y2mqdQIWIoJZs2bhtttuQ3BwMAAgOzsbABAQEGATGxAQgLS0NGuMh4cHWl7QzTYgIMD6/OzsbPj7+1f5mf7+/jYxF/6cli1bwsPDwyamXbt2VX6O5bH27dtX+RklJSUoKSmxfl9QUHCJo0AX9fPP6mvv3sDRo2p5iEOH1G3VqnNxLVoAXboAXbsC3bqprzffDDRrpkXWROTq2GrB5ThMYRUVFYXdu3dj8+bNVR7T6XQ234tIlW0XujCmunh7xMjZEZKL5RMdHY0XXnjhkrnSZRw7Bhw+DOh0QGysGq06cQL47bdzt+Rk4Pffgfx8YNMmdbPw8ABefBGYM0erV0BEropXBLochzgVOG3aNKxZswYJCQkICgqybjcajQDOjVxZ5OTkWEeKjEYjSktLkZeXd8mYY8eOVfm5x48ft4m58Ofk5eWhrKzskjE5OTkAqo6qWcydOxdms9l6O3r06CWOBFUrMVF9vflmVVQBgJ8fcMcdwKxZwCefqOLq1ClVYH3yidp+xx1qsmhpKfDUU8Df/85ThUTUsDhi5XI0LaxEBFFRUVi1ahXWr19f5VRa+/btYTQaERcXZ91WWlqKjRs3ol+/fgCAkJAQuLu728RkZWUhNTXVGtO3b1+YzWZs27bNGrN161aYzWabmNTUVGRlZVljYmNjodfrERISYo3ZtGmTTQuG2NhYmEymKqcILfR6PXx8fGxuVEuWwqpv30vHeXioU38PPAAsWgTExwPHjwOvvaYef+UV4IkngMrK+s2XiAgASkqA9HR1n4WV66jvWfSX8vjjj4vBYJANGzZIVlaW9Xb69GlrzMsvvywGg0FWrVolKSkpct9990lgYKAUnHdV2GOPPSZBQUESHx8vO3fulEGDBknXrl2lvLzcGjN8+HDp0qWLJCYmSmJionTu3FlGjRplfby8vFyCg4PljjvukJ07d0p8fLwEBQVJVFSUNSY/P18CAgLkvvvuk5SUFFm1apX4+PjIwoULa/yaeVVgHfTvr66q+eijuu/jvfdEdDq1n0mTREpL7ZYeEVG1fv9d/c256iqRGl45To6rpp/fmhZWAKq9fXTeB2hlZaXMmzdPjEaj6PV6GTBggKSkpNjs58yZMxIVFSW+vr7i6ekpo0aNkvT0dJuY3NxcCQ8PF29vb/H29pbw8HDJy8uziUlLS5OwsDDx9PQUX19fiYqKsmmtICKye/du6d+/v+j1ejEajTJ//vwat1oQYWFVa6WlIs2aqT9OZ1tj1NmKFSJNm6p9jRolcl4BT0Rkd999p/7edO+udSZkBzX9/NaJcNJJQyooKIDBYIDZbOZpwZrYvh245RbA11dNWL/MRQuXtXatatFQXAwMHKjaNHh72yVVIiIbr7+u5nvecw/w5ZdaZ0NXqKaf3w4xeZ3ooizzq/r0ufKiCgBGjgTWrVPF1IYNaoJ7bu6V75eI6EKcuO6SWFiRY6vpxPXaGDAASEhQVwxu366+z8y03/6JiAAWVi6KhRU5tvoorAAgJET1ujKZgL17gdtuO7emFxGRPbCwckksrMhxZWWpZWrc3NQ8K3u76SZg82agQwfVgPS224A9e+z/c4jI9ZSWApalzlhYuRQWVuS4LKNVnTvX3wTz9u3VcjnBwaqQGzBAnR4kIroSaWmqZ17z5kBgoNbZUANiYUWOq75OA14oMBDYuFGNip08CQwapCa2ExHV1flL2djjwhtyGiysyHFt2aK+1ndhBah2DvHxqqg6dQoYPhz4/vv6/7lE1DhxfpXLslthlZ+fb69dEan5CTt2qPsNUVgB6nTjDz8AY8aopSjuvFMtg3P6dMP8fCJqPFhYuaw6FVavvPIKvvjiC+v3EyZMQKtWrdC6dWv89ttvdkuOXNiuXaq48fNr2D9MzZoBX38NhIcD5eVq4ebrrgP+7/9UPkRENcHCymXVqbB699130aZNGwBAXFwc4uLi8OOPP2LEiBF46qmn7JoguSh7NwatDXd34NNPgY8+Atq1U5Pao6KATp2A//5XFVxERJdiKaw6dtQ2D2pwdSqssrKyrIXV999/jwkTJmDo0KF4+umnsZ1XVJE9WAqrfv20+flubsCUKcD+/cDSparfVVoa8PDDwM03AytWqCt+iIguVF6uWrgAHLFyQXUqrFq2bImjR48CAGJiYjB48GAAgIigoqLCftmR62qoKwIvx8MDePxx9b/PRYvUqckDB4D77gO6dQO+/RbgcptEdL60NFVcNWum/lNGLqVOhdX48eMxadIkDBkyBLm5uRgxYgQAIDk5GdexOqcr9ddfwNGjQJMmQK9eWmejeHqqxVT//BP4178AgwFISQHGjQN69wZiY1lgEZFiOQ3YoYMa/SaXUqff+Ouvv46oqCjcdNNNiIuLw1VXXQVAnSJ84okn7JoguSDLaFWXLoCXl7a5XMjbG/jnP9Uw/7PPqvy2bweGDQMGDlSd3InItXHiuktrWpcnubu7Y86cOVW2z5w580rzIXKc04CX0rIl8OKLwIwZQHQ08J//qLUH+/dXRdbixWrJHCJyPSysXFqdxyg/++wz3HbbbTCZTEhLSwMAvPHGG/j222/tlhy5KGcorCz8/YHXX1d/SB99FGjaFFi3TuX+889aZ0dEWuAVgS6tToXVf/7zH8yaNQsjRoxAfn6+dcJ6ixYt8MYbb9gzP3I1JSXAzp3qvjMUVhZBQcA77wD79qnFnAsKgKFDVcNRInIt5y9nQy6nToXVkiVL8P777+Mf//gHmjRpYt3es2dPpKSk2C05ckE7d6qu6/7+wLXXap1N7XXooEaswsKA4mI1uX3ZMq2zIqKGUlGhLnIBWFi5qDoVVocPH0b37t2rbNfr9SgqKrripMiFnX8a0FkXLm3eHFi9+lz39vvvB95+W+usiKghHD0KlJWpVi1BQVpnQxqoU2HVvn17JCcnV9n+448/4iZO2KUr0ZALL9cnS/f2adPU99OmAQsWsCUDUWNnmV917bWqZQy5nDpdFfjUU09h6tSpKC4uhohg27ZtWL58OaKjo/HBBx/YO0dyFSLONXH9ctzcgDffBFq1AubPB+bNA3Jz1WR39rYhapx4RaDLq1Nh9eCDD6K8vBxPP/00Tp8+jUmTJqF169Z48803MXHiRHvnSK7i6FEgM1NdWdezp9bZ2IdOpwoqX19g+nTgrbeAkyfVmoPu7lpnR0T2xisCXV6dCisAiIyMRGRkJE6cOIHKykr4+/vbMy9yRZbRqq5d1TylxmTaNFVcTZ4M/O9/gNkMfPGF6uhORI0Hrwh0eXU+H1FeXo74+HisXLkSnmc/HDIzM3Hq1Cm7JUcupjGdBqxOeDjwzTdq/bDvvgOGD1cFFhE1HjwV6PLqVFilpaWhc+fOGDt2LKZOnYrjx48DAF599dVqO7IT1YilsOrXT9s86tOoUaodg4+P6tR+++1ATo7WWRGRPVRWAocOqfssrFxWnQqrGTNmoGfPnsjLy7OOVgHAnXfeiZ9++sluyZELOXMG2LVL3W+sI1YWAwYAGzaoXl27dqmGomdXLyAiJ5aRoZocN20KXHON1tmQRupUWG3evBn//Oc/4eHhYbO9bdu2yMjIsEti5GJ27FC9X4xGoG1brbOpf927qwWb27ZVczJuvRXYu1frrIjoSlhOA7Zvr4orckl1KqwqKyuty9ic76+//oK3t/cVJ0UuqDE0Bq2tjh2BX35RizVnZKiRrO3btc6KiOqKVwQS6lhYDRkyxGZNQJ1Oh1OnTmHevHkYOXKkvXIjV9LYJ65fTOvWaq7VLbeoHlcTJqhu7UTkfHhFIKGOhdXrr7+OjRs34qabbkJxcTEmTZqEdu3aISMjA6+88oq9c6TGrrE1Bq2tVq2A+Hjg6quBI0fUcjhE5Hx4RSChjoWVyWRCcnIy5syZg0cffRTdu3fHyy+/jF27drGfFdVeWhqQna0aZoaEaJ2NNry9gccfV/cXL9Y2FyKqGxZWhCvoY+Xp6YmHHnoIb7/9NpYuXYpHHnnE5grBmti0aRNGjx4Nk8kEnU6Hb775xuZxnU5X7e21116zxgwcOLDK4xd2f8/Ly0NERAQMBgMMBgMiIiKQn59vE5Oeno7Ro0fDy8sLfn5+mD59OkpLS21iUlJSEBoaCk9PT7Ru3RoLFiyAcO23K2cZrere3bUbZj7xhFq4NSnp3DEhIucgwsKKANSx8/qaNWuq3a7T6dCsWTNcd911aN++/WX3U1RUhK5du+LBBx/EXXfdVeXxrKwsm+9//PFHPPzww1ViIyMjsWDBAuv3FxZ4kyZNwl9//YWYmBgAwN/+9jdERETgu+++AwBUVFQgLCwMV199NTZv3ozc3FxMnjwZIoIlS5YAAAoKCjBkyBDcfvvt2L59Ow4cOIApU6bAy8sLs2fPvuxrpUtoLAsvX6mAAOD++9VyN4sXA199pXVGRFRTWVmqbUyTJkC7dlpnQ1qSOtDpdOLm5iY6nc7mZtnm5uYmAwYMkJMnT9Z4nwBk9erVl4wZO3asDBo0yGZbaGiozJgx46LP2bt3rwCQpKQk67bExEQBIPv27RMRkbVr14qbm5tkZGRYY5YvXy56vV7MZrOIiCxdulQMBoMUFxdbY6Kjo8VkMkllZWVNX6aYzWYBYN0viUhIiAggsmKF1ploLyVFHQs3N5E//9Q6GyKqqY0b1b/dDh20zoTqSU0/v+t0KjAuLg69evVCXFwczGYzzGYz4uLicMstt+D777/Hpk2bkJuba9cu7MeOHcMPP/yAhx9+uMpjy5Ytg5+fH26++WbMmTMHhYWF1scSExNhMBjQu3dv67Y+ffrAYDBgy9mRksTERAQHB8NkMlljhg0bhpKSEuzYscMaExoaCr1ebxOTmZmJI0eOXDTvkpISFBQU2NzoPKdPA7/9pu67+ogVAAQHA0OHqg7OZ0dLicgJ8IpAOqtOpwJnzJiB9957D/3OW3rkjjvuQLNmzfC3v/0Ne/bswRtvvIGHHnrIbol+8skn8Pb2xvjx4222h4eHo3379jAajUhNTcXcuXPx22+/IS4uDgCQnZ1d7YR6f39/ZGdnW2MCAgJsHm/ZsiU8PDxsYtpdMLxreU52dvZFT31GR0fjhRdeqP0LdhW//qraC5hMQJs2WmfjGJ58EoiNBT74AJg3DzAYtM6IiC6H86vorDqNWB06dAg+Pj5Vtvv4+ODPP/8EAHTs2BEnTpy4suzO89///hfh4eFo1qyZzfbIyEgMHjwYwcHBmDhxIr7++mvEx8dj586d1hhdNQ0nRcRme11i5OzE9eqeazF37lzrqJ7ZbMbRo0cv80pdjCs2Br2cYcNU09DCQuDDD7XOhohqgoUVnVWnwiokJARPPfWUdfFlADh+/Diefvpp9OrVCwBw8OBBBAUF2SXJn3/+Gfv378cjjzxy2dgePXrA3d0dB88OyxqNRhw7dqxK3PHjx60jTkaj0ToyZZGXl4eysrJLxuScXTz3wtGu8+n1evj4+Njc6DyusPBybel0atQKAN58kw1DiZwBCys6q06F1YcffojDhw8jKCgI1113HTp27IigoCAcOXIEH3zwAQDg1KlTeO655+yS5IcffoiQkBB07dr1srF79uxBWVkZAgMDAQB9+/aF2WzGtm3brDFbt26F2Wy2nsrs27cvUlNTba5CjI2NhV6vR8jZvkp9+/bFpk2bbFowxMbGwmQyVTlFSDXk6o1BLyU8XDUMTU9nw1AiR3d+qwUuZ+PydCJ1a8QkIli3bh0OHDgAEcENN9yAIUOGwM2t5rXaqVOn8MfZN2P37t2xePFi3H777fD19cU1Z1cGLygoQGBgIBYtWoTHHnvM5vmHDh3CsmXLMHLkSPj5+WHv3r2YPXs2PD09sX37djRp0gQAMGLECGRmZuLdd98FoNottG3b1qbdQrdu3RAQEIDXXnsNJ0+exJQpUzBu3DhruwWz2YxOnTph0KBBePbZZ3Hw4EFMmTIFzz//fK3aLRQUFMBgMMBsNnP06tAh9b87Dw+goAA478IAAjB/PvDCC0CfPuxrReTIsrOBwEDAzU1dkMO/ZY1SjT+/6/vyxEtJSEgQAFVukydPtsa8++674unpKfn5+VWen56eLgMGDBBfX1/x8PCQDh06yPTp0yU3N9cmLjc3V8LDw8Xb21u8vb0lPDxc8vLybGLS0tIkLCxMPD09xdfXV6KiomxaK4iI7N69W/r37y96vV6MRqPMnz+/Vq0WRNhuwcZnn6nLk/v00ToTx5SdLeLhoY7Rli1aZ0NEF/Pzz+rfabt2WmdC9aimn991GrE6vxlndZ5//vna7tJlcMTqPFOnAkuXqvlEXMaleg8/rBqG3n03G4YSOaqPPwYefBAYPBg4e0U6NT41/fyuU7uF1RfM+SgrK8Phw4fRtGlTdOjQgYUV1QznV13ek0+qwmrVKuDwYaAGKxoQUQPjxHU6T50Kq127dlXZVlBQgClTpuDOO++84qTIBRQVAbt3q/ssrC7O0jA0NlY1DOXIHpHj2bdPfWVhRbiCRZgv5OPjgwULFtjtSkBq5LZvByoqVFNQO7XlaLRmzVJfP/gAMJu1zYWIbJWVAT/9pO6ft8IHuS67FVYAkJ+fDzP/8FNN8DRgzQ0dyoahRI5q40YgPx/w9+ffMwJQx1OBb731ls33IoKsrCx89tlnGD58uF0So0bu7DqN/ENUA5aGoZGRqmHo9OlA0zr90yUie/vmG/V1zBjgbIsfcm11uirwwnXx3NzccPXVV2PQoEGYO3cuvL297ZZgY8OrAqGa6fn7AydOAElJHD6viTNngLZtgePHgS+/BO65R+uMiEhETWfIyAC+/x4IC9M6I6pHdr8qcPfu3QgODoabmxsOHz5slyTJRf3xhyqq9Hqge3ets3EOnp7AE0+ohqGLF7OwInIEO3aoouqqq4A77tA6G3IQNZ5j1b17d+uiytdeey1yc3PrLSlq5Czzq0JCVNd1qpnHH1fFaFISO7ETOQJL66ERI4BmzbTNhRxGjQurFi1aWEeqjhw5gsrKynpLiho5LrxcNwEBag1BgG0XiByBZX7VuHFaZkEOpsanAu+66y6EhoYiMDAQOp0OPXv2tK7Fd6E///zTbglSI8QrAuuODUOJHMOBA8DevepCkpEjtc6GHEiNC6v33nsP48ePxx9//IHp06cjMjKSk9Sp9goLgZQUdZ+FVe2xYSiRY7CMVg0aBLRooWUm5GBqdc22pZXCjh07MGPGDBZWVHvbtgGVleoKt8BArbNxTrNmqcLqgw+AefMAg0HrjIhcD08D0kXUqUHoRx99BG9vb/zxxx9Yt24dzpw5A0D1syK6JJ4GvHJsGEqkrawsdREJoPpXEZ2nToXVyZMncccdd+D666/HyJEjkZWVBQB45JFHMHv2bLsmSI3M5s3qKwururM0DAVUw9Dycm3zIXI1a9aoHla9ewOtW2udDTmYOhVWM2fOhLu7O9LT09G8eXPr9nvvvRcxMTF2S44ameJiYNMmdZ89X65MeDhw9dVAevq5S76JqGHwNCBdQp0Kq9jYWLzyyisIumDx3I4dOyItLc0uiVEj9MsvqoO4yaROZVHdWRqGApzATtSQCgrOLbrMwoqqUafCqqioyGakyuLEiRPQ6/VXnBQ1UrGx6uvQoep0Fl0ZNgwlang//giUlQE33KBuRBeoU2E1YMAAfPrpp9bvdTodKisr8dprr+H222+3W3LUyJxfWNGVO79h6MyZag1BrohAVL8sp945WkUXUadFmH///XeEhoYiJCQE69evx5gxY7Bnzx6cPHkSv/zyCzp06FAfuTYKLrsI87FjgNGo7ufkqPlBdOX27FHrLZaVqe91OvX9kCHqduutXGqDyF5KStTfrsJCLiDvgmr6+V3rEauysjI88cQTWLNmDW655RYMGTIERUVFGD9+PHbt2sWiiqoXH6++9ujBosqebr4Z2LJFXSUYHKyuVNq5E3jlFWDwYKBlSzVC+NprwK5dqocYEdVNQoIqqkwmoFcvrbMhB1WrBqEA4O7ujtTUVLRq1QovvPBCfeREjRFPA9afnj3VDVD9dX76CYiLU7esrHP3AcDPT12RaRnRuuYa7fImcjaW04BjxwJudZpJQy6gTqcCZ8+eDXd3d7z88sv1kVOj5pKnAkXU//Cys4H16wHOw2sYIsDvv58rrDZsAIqKbGMGDwa+/Rao5mIUIjpPZaX6O3bsGLBuHf+T6IJq+vldp8Jq2rRp+PTTT3HdddehZ8+e8PLysnl8MS//viiXLKxSUoAuXdSH98mT6ko2anilpcDWrarIio9XywtVVKgJ8J99xis1iS4lMRHo108tIZWTA3h4aJ0RNbCafn7X+lQgAKSmpqJHjx4AgAMHDtg8puMfZ7qQ5TTgwIEsqrTk4QH0769uCxYAGzeq04LLlgEhIee6uRNRVZbTgGFhLKrokupUWCUkJNg7D2rMOL/KMYWGquaiM2YATz0FdO0KDBqkdVZEjkeEbRaoxjj7jurXmTPnlrFhYeV4pk0DHnhAnRK8916AKycQVfX778Aff6gR9+HDtc6GHBwLK6pfP/+s1ggMCmKXYkek0wHvvKPaYJw4Adx5pyqGiegcy9qAgwcD3t6apkKOj4UV1S8uY+P4PD3VaQ4/P9Xr6m9/U6c+iEjhaUCqBRZWVL84v8o5XHONWhKnSRPgf/8D3npL64yIHMPRo8Cvv6r/GI4erXU25ARYWFH9ycpSrRZ0OnX1GTm2228HFi5U92fPVl2miVzdmjXq6623qvU5iS5D08Jq06ZNGD16NEwmE3Q6Hb6xnMc+a8qUKdDpdDa3Pn362MSUlJRg2rRp8PPzg5eXF8aMGYO//vrLJiYvLw8REREwGAwwGAyIiIhAfn6+TUx6ejpGjx4NLy8v+Pn5Yfr06SgtLbWJSUlJQWhoKDw9PdG6dWssWLAAdWgD5jos3b5DQtRpJnJ8M2YA99+vJrNPmACkp2udEZG2eBqQaknTwqqoqAhdu3bF22+/fdGY4cOHIysry3pbu3atzeMzZ87E6tWrsWLFCmzevBmnTp3CqFGjUFFRYY2ZNGkSkpOTERMTg5iYGCQnJyMiIsL6eEVFBcLCwlBUVITNmzdjxYoVWLlyJWbPnm2NKSgowJAhQ2AymbB9+3YsWbIECxcuZDPUS+FpQOej0wHvvqsWcuZkdnJ1eXlqxQKAhRXVnDgIALJ69WqbbZMnT5axY8de9Dn5+fni7u4uK1assG7LyMgQNzc3iYmJERGRvXv3CgBJSkqyxiQmJgoA2bdvn4iIrF27Vtzc3CQjI8Mas3z5ctHr9WI2m0VEZOnSpWIwGKS4uNgaEx0dLSaTSSorK2v8Os1mswCw7rfRqqgQ8fcXAUQ2bNA6G6qtI0dEWrVSv78HHhCpxXucqNH47DP1b6BzZ60zIQdQ089vh59jtWHDBvj7++P6669HZGQkcnJyrI/t2LEDZWVlGHreiIjJZEJwcDC2bNkCAEhMTITBYEDv3r2tMX369IHBYLCJCQ4OhslkssYMGzYMJSUl2LFjhzUmNDQU+vM6hw8bNgyZmZk4cuTIRfMvKSlBQUGBzc0l7N6tln3w8gL69tU6G6qttm3PTWb/9FNgyRKtMyJqeDwNSHXg0IXViBEjsGzZMqxfvx6LFi3C9u3bMWjQIJSUlAAAsrOz4eHhgZYtW9o8LyAgANnZ2dYYf3//Kvv29/e3iQm4YFJiy5Yt4eHhcckYy/eWmOpER0db53YZDAa0adOmNofAeVlOA95+O5d/cFaDBgGvvabuz5qllsAhchVnzgAxMeo+CyuqBYcurO69916EhYUhODgYo0ePxo8//ogDBw7ghx9+uOTzRMRmzcLq1i+0R4ycnbh+qfUR586dC7PZbL0dPXr0krk3Gpxf1TjMnKkWaa6oAO65h5PZyXXExwOnT6tWJN27a50NORGHLqwuFBgYiLZt2+LgwYMAAKPRiNLSUuTl5dnE5eTkWEeTjEYjjh07VmVfx48ft4m5cNQpLy8PZWVll4yxnJa8cCTrfHq9Hj4+Pja3Ru/0adVxHWBh5ex0OuC994Bu3YDjx4Hx4zmZnVyD5Sr1cePY3JhqxakKq9zcXBw9ehSBgYEAgJCQELi7uyPOclk/gKysLKSmpqJfv34AgL59+8JsNmPbtm3WmK1bt8JsNtvEpKamIisryxoTGxsLvV6PkJAQa8ymTZtsWjDExsbCZDKhXbt29faandKmTUBpqfqf3vXXa50NXanmzdVck1atgB07gMcfZ2d2atzKy8/1r+JpQKqtBphIf1GFhYWya9cu2bVrlwCQxYsXy65duyQtLU0KCwtl9uzZsmXLFjl8+LAkJCRI3759pXXr1lJQUGDdx2OPPSZBQUESHx8vO3fulEGDBknXrl2lvLzcGjN8+HDp0qWLJCYmSmJionTu3FlGjRplfby8vFyCg4PljjvukJ07d0p8fLwEBQVJVFSUNSY/P18CAgLkvvvuk5SUFFm1apX4+PjIwoULa/WaXeKqwCefVFfSPPKI1pmQPcXHi7i5qd/tm29qnQ1R/dm4Ub3PfX1Fysq0zoYcRE0/vzUtrBISEgRAldvkyZPl9OnTMnToULn66qvF3d1drrnmGpk8ebKkp6fb7OPMmTMSFRUlvr6+4unpKaNGjaoSk5ubK+Hh4eLt7S3e3t4SHh4ueXl5NjFpaWkSFhYmnp6e4uvrK1FRUTatFUREdu/eLf379xe9Xi9Go1Hmz59fq1YLIi5SWN18s/qj9OWXWmdC9rZwofrdAiLDhokkJmqdEZH9Wf5zOHmy1pmQA6np57dOhGP6DamgoAAGgwFms7lxzrfKyACCggA3NzUnx9dX64zInkSAZ54BFi9WE9oBYPhw4IUXgFtu0TY3InsQAa69FjhyRJ0C56lAOqumn99ONceKnIBlvluvXiyqGiOdDnj1VeDAAeChh1Sfq5gYoHdvICwM2L5d6wyJrszu3aqo8vTkxTdUJyysyL7YZsE1XHst8OGHwP79wJQpqsBau1aNWo0aBfz6q9YZEtWN5WrAYcPUhRtEtcTCiuynsvLciBULK9fQoQPw0UfAvn3A5MnqFPAPP6gRyzFj1FWERM6E3dbpCrGwIvtJTlYL93p7q1ND5Dquuw74+GNVYEVEqALru++Anj2BsWOBXbu0zpDo8g4fBn77TY3AjhqldTbkpFhYkf2sW6e+DhoEuLtrmwtpo2NHtbbg3r3A/ferAmvNGqBHD+DOO9X8FSJH9e236uuAAapvG1EdsLAi++H8KrLo1An47DNgzx5g0iQ16f2bb9SC3JdYtJxIU+d3WyeqIxZWZB+nTgG//KLus7AiixtuAJYtUwVW585quSPLHBYiR5Kbe24prrFjtc2FnBoLK7KPjRuBsjKgfXs1oZnofDfeCDz4oLr/44/a5kJUnbVr1QU4XbsCbdtqnQ05MRZWZB/nnwbkgqVUnREj1NeNG4GiIm1zIbqQZW3AMWO0zYOcHgsrsg/Or6LL6dQJaNdOLdCdkKB1NkTnlJSoRrcACyu6Yiys6Mqlp6vL7N3c1BWBRNXR6c6NWvF0IDmShAQ1T9RkUlewEl0BFlZ05SxNQXv3Blq00DQVcnDnF1ZcppQcxfmnAd34sUhXhu8gunI8DUg1NWgQ4OGhGjEeOKB1NkSqwOf8KrIjFlZ0ZSoqgPh4dZ+FFV2Ol5dqvgjwdCA5hp07gYwM9d68/Xats6FGgIUVXZmdO4GTJwEfH7UAL9HljBypvrKwIkdgGa0aPhxo1kzbXKhRYGFFV8ZyGvCOO4CmTbXNhZyDZZ7Vhg1su0Da42lAsjMWVnRlOL+KaottF8hRpKWpxePd3M6NpBJdIRZWVHeFhcCWLeo+CyuqKbZdIEfx3Xfq6623An5+2uZCjQYLK6q7DRuA8nK1hM2112qdDTkTtl0gR2A5Dci1AcmOWFhR3fE0INUV2y6Q1sxm9Z9DgPOryK5YWFHdsbCiumLbBdJaTIxaOP6GG4COHbXOhhoRFlZUN0eOqJGGJk3Y+4XqhvOsSEu8GpDqCQsrqhvLMjZ9+gAGg7a5kHOyFFYbNwKnT2ubC7mWsjJg7Vp1n/OryM5YWFHtFRQAH3+s7vM0INXVDTcAbdsCJSVsu0AN6+efgfx84Oqr1RqnRHbEwopqZ88e1WF9yxY1+fiee7TOiJwV2y6QViynAUeNUtMZiOyIhRXV3LJlqqjavx8IClKncG68UeusyJmx7QI1tPMXXeZpQKoHLKzo8kpKgKlTgfvvV3NhBg9WawT26aN1ZuTsLG0X/vwTOHhQ62zIFaSmqjYfzZqpv2VEdsbCii4tPV1dFr90qfr+uefUZcpXX61tXtQ4XHUV0L+/um+ZTExUnyyjVYMHq7YfRHbGwooubt06oEcPYNs2oGVL4IcfgAULOCeB7MuyRhvnWVFDYJsFqmcsrKiqykrghRfU/JfcXCAkRJ364yKlVB/YdoEaSmam+o8iAIwerW0u1GhpWlht2rQJo0ePhslkgk6nwzfffGN9rKysDM888ww6d+4MLy8vmEwmPPDAA8jMzLTZx8CBA6HT6WxuEydOtInJy8tDREQEDAYDDAYDIiIikJ+fbxOTnp6O0aNHw8vLC35+fpg+fTpKS0ttYlJSUhAaGgpPT0+0bt0aCxYsgDS2Cbe5uUBYGDB/vprk+eijwObNQLt2WmdGjRXbLlBD+f579bV3b8Bo1DYXarQ0LayKiorQtWtXvP3221UeO336NHbu3InnnnsOO3fuxKpVq3DgwAGMqWb4NjIyEllZWdbbu+++a/P4pEmTkJycjJiYGMTExCA5ORkRERHWxysqKhAWFoaioiJs3rwZK1aswMqVKzF79mxrTEFBAYYMGQKTyYTt27djyZIlWLhwIRYvXmzHI6Kx7dvVqb+YGMDTE/jkE+Cdd9QkT6L6wrYL1FB4GpAagjgIALJ69epLxmzbtk0ASFpamnVbaGiozJgx46LP2bt3rwCQpKQk67bExEQBIPv27RMRkbVr14qbm5tkZGRYY5YvXy56vV7MZrOIiCxdulQMBoMUFxdbY6Kjo8VkMkllZWWNX6fZbBYA1v06hMpKkaVLRTw8RACR664T+e03rbMiV/Ltt+q9d+216v1IZG+FhSJ6vXqfpaRonQ05oZp+fjvVHCuz2QydTocWLVrYbF+2bBn8/Pxw8803Y86cOSgsLLQ+lpiYCIPBgN7nddft06cPDAYDtmzZYo0JDg6GyWSyxgwbNgwlJSXYsWOHNSY0NBR6vd4mJjMzE0eOHLloziUlJSgoKLC5OZSiIuCBB4AnngBKS4E77wR+/RXo0kXrzMiVsO0C1be4OHW6+dprgZtv1jobasScprAqLi7G3//+d0yaNAk+Pj7W7eHh4Vi+fDk2bNiA5557DitXrsT48eOtj2dnZ8Pf37/K/vz9/ZGdnW2NCQgIsHm8ZcuW8PDwuGSM5XtLTHWio6Otc7sMBgPatGlTy1dejyor1YT0//1PXem3cCGwciXX/qOGd37bBZ4OpPpw/mlAnU7bXKhRc4rCqqysDBMnTkRlZSWWWvopnRUZGYnBgwcjODgYEydOxNdff434+Hjs3LnTGqOr5h+RiNhsr0uMnJ24Xt1zLebOnQuz2Wy9HT169DKvtgH973/Apk3qQ239emD2bP7BIe1wnhXVl4qKcxPXOb+K6pnDF1ZlZWWYMGECDh8+jLi4OJvRqur06NED7u7uOHj2dILRaMSxY8eqxB0/ftw64mQ0GquMOuXl5aGsrOySMTk5OQBQZSTrfHq9Hj4+PjY3h1BYCPz97+r+c8+pJqBEWrIUVhs2sO0C2VdiInDihOrHd9ttWmdDjZxDF1aWourgwYOIj49Hq1atLvucPXv2oKysDIGBgQCAvn37wmw2Y5uldwmArVu3wmw2o1+/ftaY1NRUZGVlWWNiY2Oh1+sREhJijdm0aZNNC4bY2FiYTCa0c8ZWBNHRQFYW0KEDMGOG1tkQqXUnr7lGzYPZsEHrbKgxsZwGHDkScHfXNhdq9DQtrE6dOoXk5GQkJycDAA4fPozk5GSkp6ejvLwcd999N3799VcsW7YMFRUVyM7ORnZ2trW4OXToEBYsWIBff/0VR44cwdq1a3HPPfege/fuuPXWWwEAN954I4YPH47IyEgkJSUhKSkJkZGRGDVqFDp16gQAGDp0KG666SZERERg165d+OmnnzBnzhxERkZaR5gmTZoEvV6PKVOmIDU1FatXr8ZLL72EWbNmXfJUoEM6dAhYtEjdX7wYOG9CPpFm2HaB6gvbLFBDaohLFC8mISFBAFS5TZ48WQ4fPlztYwAkISFBRETS09NlwIAB4uvrKx4eHtKhQweZPn265Obm2vyc3NxcCQ8PF29vb/H29pbw8HDJy8uziUlLS5OwsDDx9PQUX19fiYqKsmmtICKye/du6d+/v+j1ejEajTJ//vxatVoQcZB2C+PGqUuOhwzhpe3kWL75hm0XyL727VPvKXd3EUdqc0NOp6af3zqRxtY63LEVFBTAYDDAbDZrM98qPh4YMkRdBbh7N3DTTQ2fA9HFFBYCrVoBZWXA/v3A9ddrnRE5u9deA55+Ghg6VK1/SlRHNf38dug5VmRn5eXAzJnq/tSpLKrI8Xh7n7uQgqcDyR54GpAaGAsrV/Luu8CePWpEYP58rbMhqh7nWZG9HD8OnG0EzUWXqaGwsHIVubmqrQIA/Otf6rJjIkfEtgtkLz/8oBohd+umrjglagAsrFzFvHlAXh7QuTMQGal1NkQXx7YLZC+W04Bjx2qbB7kUFlauICUF+M9/1P033gCaNtU0HaJLYtsFsoczZ85NVuf8KmpALKwaOxE1Yb2yEhg/Xi12S+ToWFjRlVq/Xp1KDgoCunfXOhtyISysGrtvv1V/YPR6tcgykTMYNEh1yD50CDi7PBVRrXDRZdIIC6vGrLgYmDVL3Z8zB2jfXtt8iGrK2xvo31/d56gV1VZlJfDdd+o+TwNSA2Nh1Zi9/jpw+DBgMp1bcJnIWfB0INXVr7+qtVCvugoYOFDrbMjFsLBqrDIzgRdfVPdfeUX9gSFyJmy7QHVlOQ04fDjXQqUGx8KqsZo7FygqAvr0ASZN0jobotq76SagTRt1SpttF6imRIDVq9V9tlkgDbCwaoy2bgU+/VTdf/NNwI2/ZnJCbLtAdZGYCOzdCzRrBowapXU25IL4idvYVFYC06er+1OmALfcomk6RFeEhRXV1rvvqq/33gu0aKFpKuSaWFg1Nv/7H7Btm5pT9dJLWmdDdGXuuINtF6jm8vKAL79U9x99VNtcyGWxsGpMCgvPXf33z38CgYHa5kN0pby9gX791P2NG7XNhRzfZ5+pOXmdO6v5pUQaYGHVmERHq0uMO3RQ3daJGgNLYZWYqG0e5NhEzp0GfPRRNgUlzbCwaiz+/BNYtEjdX7SIlxhT49G3r/qalKRtHuTYfvlFTVpv3hy4/36tsyEXxsKqsZg9GygtBQYPZqdhalx691Zf9+4F8vM1TYUcmGW0auJEwGDQNhdyaSysGoODB9XyDU2aAG+8wSFwalz8/dXpbUC1EiG6UG4u8NVX6j4nrZPGWFg1Bh07AsnJwNtvAzffrHU2RPbH04F0KZ9+CpSUAN26Ab16aZ0NuTgWVo1FcDDw2GNaZ0FUPyxXeHECO12Ik9bJwbCwIiLHZxmx2rpVNcElsti0Cdi/H/Dy4vJd5BBYWBGR4+vcGfD0VJPX9+/XOhtyJJbRqkmTAB8fbXMhAgsrInIG7u7n5s7wdCBZnDgBrFyp7nPSOjkIFlZE5Bw4gZ0u9PHHqs1MSIi6ETkAFlZE5Bw4gZ3OJwK89566z9EqciAsrIjIOVgKqz17gIICbXMh7SUkqB5+3t7AffdpnQ2RFQsrInIORiPQrp0aqdi2TetsSGuWSevh4cBVV2mbC9F5WFgRkfOwzLPi6UDXlpMDrF6t7vM0IDkYFlZE5Dw4gZ0A4KOPgLIy4JZbVLd1IgeiaWG1adMmjB49GiaTCTqdDt98843N4yKC+fPnw2QywdPTEwMHDsSePXtsYkpKSjBt2jT4+fnBy8sLY8aMwV9//WUTk5eXh4iICBgMBhgMBkRERCD/gsVc09PTMXr0aHh5ecHPzw/Tp09HaWmpTUxKSgpCQ0Ph6emJ1q1bY8GCBRARux0PIroMyzyrpCR1SpBcT2UlJ62TQ9O0sCoqKkLXrl3x9ttvV/v4q6++isWLF+Ptt9/G9u3bYTQaMWTIEBQWFlpjZs6cidWrV2PFihXYvHkzTp06hVGjRqGiosIaM2nSJCQnJyMmJgYxMTFITk5GRESE9fGKigqEhYWhqKgImzdvxooVK7By5UrMnj3bGlNQUIAhQ4bAZDJh+/btWLJkCRYuXIjFixfXw5Ehomp17Qo0awacPKkmLpPr+ekn4M8/VTPQe+/VOhuiqsRBAJDVq1dbv6+srBSj0Sgvv/yydVtxcbEYDAZ55513REQkPz9f3N3dZcWKFdaYjIwMcXNzk5iYGBER2bt3rwCQpKQka0xiYqIAkH379omIyNq1a8XNzU0yMjKsMcuXLxe9Xi9ms1lERJYuXSoGg0GKi4utMdHR0WIymaSysrLGr9NsNgsA636JqJZuvVUEEPn4Y60zIS3cdZf6/U+dqnUm5GJq+vntsHOsDh8+jOzsbAwdOtS6Ta/XIzQ0FFu2bAEA7NixA2VlZTYxJpMJwcHB1pjExEQYDAb07t3bGtOnTx8YDAabmODgYJhMJmvMsGHDUFJSgh07dlhjQkNDodfrbWIyMzNx5MiRi76OkpISFBQU2NyI6ApwArvrys4Gvv1W3edpQHJQDltYZWdnAwACAgJstgcEBFgfy87OhoeHB1q2bHnJGH9//yr79/f3t4m58Oe0bNkSHh4el4yxfG+JqU50dLR1bpfBYECbNm0u/cKJ6NLOn2dFruW//wXKy1Vx3bmz1tkQVcthCysLnU5n872IVNl2oQtjqou3R4ycnTx7qXzmzp0Ls9lsvR09evSSuRPRZVhGrFJSgPPmW1IjV1kJvP++us/RKnJgDltYGY1GAFVHg3JycqwjRUajEaWlpcjLy7tkzLFjx6rs//jx4zYxF/6cvLw8lJWVXTImJycHQNVRtfPp9Xr4+PjY3IjoCphMwDXXqA/aX3/VOhtqKLGxwJEjQIsWwIQJWmdDdFEOW1i1b98eRqMRcXFx1m2lpaXYuHEj+vXrBwAICQmBu7u7TUxWVhZSU1OtMX379oXZbMa28zo1b926FWaz2SYmNTUVWVlZ1pjY2Fjo9XqEnF3Ys2/fvti0aZNNC4bY2FiYTCa0a9fO/geAiC6O6wa6Hkun9QceADw9tc2F6FLqfx79xRUWFsquXbtk165dAkAWL14su3btkrS0NBERefnll8VgMMiqVaskJSVF7rvvPgkMDJSCggLrPh577DEJCgqS+Ph42blzpwwaNEi6du0q5eXl1pjhw4dLly5dJDExURITE6Vz584yatQo6+Pl5eUSHBwsd9xxh+zcuVPi4+MlKChIoqKirDH5+fkSEBAg9913n6SkpMiqVavEx8dHFi5cWKvXzKsCiezg9dfVlWHn/TumRiwjQ6RJE/U737NH62zIRdX081vTwiohIUEAVLlNnjxZRFTLhXnz5onRaBS9Xi8DBgyQlJQUm32cOXNGoqKixNfXVzw9PWXUqFGSnp5uE5Obmyvh4eHi7e0t3t7eEh4eLnl5eTYxaWlpEhYWJp6enuLr6ytRUVE2rRVERHbv3i39+/cXvV4vRqNR5s+fX6tWCyIsrIjsIjFRfcj6+YnU8t8gOaEFC9Tv+7bbtM6EXFhNP791Imxf3JAKCgpgMBhgNps534qorkpKVIPI0lLVKPS667TOiOpLRQXQvj1w9Cjw2WfA/fdrnRG5qJp+fjvsHCsioovS64Gz8x/ZdqGRW7dOFVW+vsDdd2udDdFlsbAiIufECeyuwTJpffJktZwRkYNjYUVEzokd2Bu/v/4Cvv9e3f/b37TNhaiGWFgRkXOyjFjt3g0UFWmbC9WPDz9U/cpCQ4EbbtA6G6IaYWFFRM6pTRugdWs1uZmNQhufuDjgzTfVfXZaJyfCwoqInBfXDWx8ysqAv/8dGDoUyMtTFymMH691VkQ1xsKKiJwX51k1LocPA/37A6+8or5/7DHg55/VVaBETqKp1gkQEdXZ+YWVCHCZBdrJgX3xhZqgXlCg1gP84APgrru0zoqo1jhiRUTOq0cPwN0dyMlRC/SS8zl9GoiMBCZOVEVVv35AcjKLKnJaLKyIyHk1awZ0767u83Sg89m9G+jZU41O6XTAP/4BbNwItG2rdWZEdcbCioicGyewOx8RYOlS4JZbgN9/BwIDgfh44N//Bppyhgo5NxZWROTcOIHduZw8qU7zTZ2q1nwcORL47Tdg0CCtMyOyCxZWROTcLIVVcjJw5oymqdBlbN4MdOsGrF6t5sYtXqw6q199tdaZEdkNCysicm7XXAMYjUB5ObBjh9bZUHUqKoB//Ut1UD96FLjuOjXC+OSTvJKTGh0WVkTk3HQ6ng50VCLAunWqN9Xzz6vlaSIigJ07VeNPokaIhRUROT9OYHcs5eXA8uWqHcbw4arg9fICPvkE+PRTwNtb6wyJ6g0vvyAi58dGoY7h9Gngo4+ARYtUF3VAFVSRkcCsWWp9R6JGjoUVETm/kBB1mX5WlprDc801WmfkWnJzVfuEt94CTpxQ266+Gpg+HXjiCcDXV9v8iBoQCysicn7NmwNdu6rJ64mJLKwaytGj6sq+998HiorUtnbtgDlzgAcfVL8XIhfDOVZE1DhwAnvD2bMHmDwZuPZa4I03VFHVtSvw+efAwYOqRxWLKnJRLKyIqHHgBPb6U1mpRqfWrgVGjwaCg9Uk9PJy4PbbgZgYYNcu4L772DmdXB7/BRBR42AZsdq5EyguVusIUu3k5gIHDlS9HTxo23xVpwPGjweeeQbo1Uu7fIkcEAsrImoc2rdXE6aPH1ejJ5ZCi6r64w91jC4soE6evPhzmjYFOnQABg5UV/hdf32DpUvkTFhYEVHjYGkUumaNmmfFwqqq5GRg/nzg228vHhMUpIqm668HOnU6d79dO57mI6oB/ishosbj/MKKzklJUQXVqlXqe50OuOUW28Lp+uvVUjNeXpqmSuTsWFgRUeOh1QT2igrgv/9VE7rvvlv1bnJ3b9gcqrNnD/DCC8BXX6nvdTrg3nvV8jI33qhtbkSNFK8KJKLGo1cvwM0N+OsvdWsIv/yiRn/+9jdg82Zg5kx11dyaNaoLvBZ+/11dode587mi6p571MjV8uUsqojqEQsrImo8vLyALl3U/foetcrIAO6/H7jtNnUlosGgiip/fzURfOxYYPBgNa+poezfD4SHAzffDKxYoQq78eOB334DvvxSbSeiesXCiogal/puFFpcDERHq/lJy5ap02uRkaolweuvq69z5wJ6PbB+vVqI+JFH1HI79eXgQeCBB4CbblJNOkWAcePUlX8rV54rNomo3rGwIqLGxTLPyt6FlYg6vRccDDz7rOo23q8fsH078N57qtUDAPj4AC+9BOzbB0ycqJ734YdAx47Aiy/a9oO6UocOAVOmqFN7n32mGnmOHq2W9lm9GujWzX4/i4hqxOELq3bt2kGn01W5TZ06FQAwZcqUKo/1sfxhPaukpATTpk2Dn58fvLy8MGbMGPx1wfyLvLw8REREwGAwwGAwICIiAvn5+TYx6enpGD16NLy8vODn54fp06ejtLS0Xl8/EdXS+Y1CS0rss899+4ARI9TpvUOHAJNJjVZt3qwWgK5Ou3ZqPtOWLUDv3qoQ++c/1UiXZVSpNior1dypDz4AHnpI7ee664BPPlGT50eOBLZtU8Vfjx5X/JKJqI7EweXk5EhWVpb1FhcXJwAkISFBREQmT54sw4cPt4nJzc212cdjjz0mrVu3lri4ONm5c6fcfvvt0rVrVykvL7fGDB8+XIKDg2XLli2yZcsWCQ4OllGjRlkfLy8vl+DgYLn99ttl586dEhcXJyaTSaKiomr1esxmswAQs9lc94NCRBdXWSnSqpUIIJKUdGX7ys8XmTVLpGlTtT8PD5G5c0UKC2uf0+efi7Rpo/YDiPTuLfLLLxd/TlGRyIYNIi++KBIWJuLre+6559+GD7/y10lEl1XTz2+HL6wuNGPGDOnQoYNUVlaKiCqsxo4de9H4/Px8cXd3lxUrVli3ZWRkiJubm8TExIiIyN69ewWAJJ33xykxMVEAyL59+0REZO3ateLm5iYZGRnWmOXLl4ter69VkcTCiqgBhIWpouONN+r2/IoKkQ8/FPH3P1fAjBkj8scfV5bX6dOqULrqqnP7nTBB5PBhkYwMkS+/FJk5U6RXr3PF3Pk3T0+R0FBV3H3/vcgF/4kkovpT089vhz8VeL7S0lL873//w0MPPQSdTmfdvmHDBvj7++P6669HZGQkcnJyrI/t2LEDZWVlGDp0qHWbyWRCcHAwtmzZAgBITEyEwWBA7969rTF9+vSBwWCwiQkODobJZLLGDBs2DCUlJdixY8dFcy4pKUFBQYHNjYjqWW0nsIuoyeWxscCiRerU3cMPAzk5wA03qEWGv/1WLelyJTw91fysgwfVhHadTl2t16ED0Lo1MGEC8MYbat5Webk65XjPPWpS/LZtgNkMbNig5nCFhQG+vleWDxHZnVM1CP3mm2+Qn5+PKVOmWLeNGDEC99xzD9q2bYvDhw/jueeew6BBg7Bjxw7o9XpkZ2fDw8MDLVu2tNlXQEAAsrOzAQDZ2dnw9/ev8vP8/f1tYgICAmweb9myJTw8PKwx1YmOjsYLL7xQ15dMRHVxqQnshYVAaqrq6ZSScu5+bq5tnI+P6lYeFWX/Zp9GI/D++2rfs2apqwfd3NTVe/36Abfeqr62bauKLyJyGk5VWH344YcYMWKEzajRvffea70fHByMnj17om3btvjhhx8wfvz4i+5LRGxGvXTV/PGqS8yF5s6di1mzZlm/LygoQJs2bS4aT0R2cMstqlBJT1cFzJEj5wqpI0eqf46bm7pyr3NndTXdI48AF/xnyu66dgXi44HDhwE/P1XMEZFTc5rCKi0tDfHx8VhlWevqIgIDA9G2bVscPHgQAGA0GlFaWoq8vDybUaucnBz069fPGnPs2LEq+zp+/Lh1lMpoNGLr1q02j+fl5aGsrKzKSNb59Ho99Hp9zV4kEdmHt7dqi7B7t+qIfqHAQFVAnX+78UZ1qq6h6XTAtdc2/M8lonrhNHOsPvroI/j7+yMsLOyScbm5uTh69CgCAwMBACEhIXB3d0dcXJw1JisrC6mpqdbCqm/fvjCbzdi2bZs1ZuvWrTCbzTYxqampyDqvyV9sbCz0ej1CLna5NRFpZ+pUdcqtTx/VwPOtt4CEBODECSAzE1i3Dli4EJg8WbUn0KKoIqJGRyei1WJWNVdZWYn27dvjvvvuw8svv2zdfurUKcyfPx933XUXAgMDceTIETz77LNIT0/H77//Dm9vbwDA448/ju+//x4ff/wxfH19MWfOHOTm5mLHjh1o0qQJADVXKzMzE++++y4A4G9/+xvatm2L7777DgBQUVGBbt26ISAgAK+99hpOnjyJKVOmYNy4cViyZEmNX0tBQQEMBgPMZjN8OOxPRETkFGr6+e0UI1bx8fFIT0/HQw89ZLO9SZMmSElJwdixY3H99ddj8uTJuP7665GYmGgtqgDg9ddfx7hx4zBhwgTceuutaN68Ob777jtrUQUAy5YtQ+fOnTF06FAMHToUXbp0wWeffWbzs3744Qc0a9YMt956KyZMmIBx48Zh4cKF9X8AiIiIyCk4xYhVY8IRKyIiIufTqEasiIiIiJwBCysiIiIiO2FhRURERGQnLKyIiIiI7ISFFREREZGdsLAiIiIishMWVkRERER2wsKKiIiIyE5YWBERERHZCQsrIiIiIjthYUVERERkJyysiIiIiOykqdYJuBrLmtcFBQUaZ0JEREQ1ZfnctnyOXwwLqwZWWFgIAGjTpo3GmRAREVFtFRYWwmAwXPRxnVyu9CK7qqysRGZmJry9vaHT6ey234KCArRp0wZHjx6Fj4+P3fbbGPDYVI/HpXo8LhfHY1M9HpeLa0zHRkRQWFgIk8kEN7eLz6TiiFUDc3NzQ1BQUL3t38fHx+nfvPWFx6Z6PC7V43G5OB6b6vG4XFxjOTaXGqmy4OR1IiIiIjthYUVERERkJyysGgm9Xo958+ZBr9drnYrD4bGpHo9L9XhcLo7Hpno8LhfniseGk9eJiIiI7IQjVkRERER2wsKKiIiIyE5YWBERERHZCQsrIiIiIjthYeVANm3ahNGjR8NkMkGn0+Gbb76xefzYsWOYMmUKTCYTmjdvjuHDh+PgwYM2MYcOHcKdd96Jq6++Gj4+PpgwYQKOHTtmE5OXl4eIiAgYDAYYDAZEREQgPz+/nl9d3TXUcWnXrh10Op3N7e9//3t9v7w6i46ORq9eveDt7Q1/f3+MGzcO+/fvt4kREcyfPx8mkwmenp4YOHAg9uzZYxNTUlKCadOmwc/PD15eXhgzZgz++usvmxhne8805LFxpveNvY7Le++9h4EDB8LHxwc6na7a94Krvmdqcmxc7T1z8uRJTJs2DZ06dULz5s1xzTXXYPr06TCbzTb7cbb3zMWwsHIgRUVF6Nq1K95+++0qj4kIxo0bhz///BPffvstdu3ahbZt22Lw4MEoKiqyPn/o0KHQ6XRYv349fvnlF5SWlmL06NGorKy07mvSpElITk5GTEwMYmJikJycjIiIiAZ7nbXVUMcFABYsWICsrCzr7Z///GeDvMa62LhxI6ZOnYqkpCTExcWhvLwcQ4cOtb5uAHj11VexePFivP3229i+fTuMRiOGDBliXbMSAGbOnInVq1djxYoV2Lx5M06dOoVRo0ahoqLCGuNs75mGPDaA87xv7HVcTp8+jeHDh+PZZ5+96M9y1fdMTY4N4FrvmczMTGRmZmLhwoVISUnBxx9/jJiYGDz88MM2P8vZ3jMXJeSQAMjq1aut3+/fv18ASGpqqnVbeXm5+Pr6yvvvvy8iIuvWrRM3Nzcxm83WmJMnTwoAiYuLExGRvXv3CgBJSkqyxiQmJgoA2bdvXz2/qitXX8dFRKRt27by+uuv1/trqC85OTkCQDZu3CgiIpWVlWI0GuXll1+2xhQXF4vBYJB33nlHRETy8/PF3d1dVqxYYY3JyMgQNzc3iYmJERHnf8+I1N+xEXHu901djsv5EhISBIDk5eXZbHfV98z5LnZsRFz7PWPx5ZdfioeHh5SVlYlI43jPWHDEykmUlJQAAJo1a2bd1qRJE3h4eGDz5s3WGJ1OZ9OIrVmzZnBzc7PGJCYmwmAwoHfv3taYPn36wGAwYMuWLQ3xUuzKXsfF4pVXXkGrVq3QrVs3vPjiiygtLW2AV2EflmF1X19fAMDhw4eRnZ2NoUOHWmP0ej1CQ0Otv+sdO3agrKzMJsZkMiE4ONga0xjeM/V1bCyc9X1Tl+NSE676nqkNV3/PmM1m+Pj4oGlTtWRxY3jPWLCwchI33HAD2rZti7lz5yIvLw+lpaV4+eWXkZ2djaysLADqTejl5YVnnnkGp0+fRlFREZ566ilUVlZaY7Kzs+Hv719l//7+/sjOzm7Q12QP9jouADBjxgysWLECCQkJiIqKwhtvvIEnnnhCq5dWKyKCWbNm4bbbbkNwcDAAWH+fAQEBNrEBAQHWx7Kzs+Hh4YGWLVteMsaZ3zP1eWwA533f1PW41ISrvmdqytXfM7m5ufjXv/6FRx991LrN2d8z52uqdQJUM+7u7li5ciUefvhh+Pr6okmTJhg8eDBGjBhhjbn66qvx1Vdf4fHHH8dbb70FNzc33HfffejRoweaNGlijdPpdFX2LyLVbnd09jwuTz75pPV+ly5d0LJlS9x9993W/1k6sqioKOzevbvKCBxQ9fddk9/1hTHO/J6p72PjrO8bex+Xy+2jrvvRQn0fG1d+zxQUFCAsLAw33XQT5s2bd8l9XGo/jowjVk4kJCQEycnJyM/PR1ZWFmJiYpCbm4v27dtbY4YOHYpDhw4hJycHJ06cwGeffYaMjAxrjNForHI1HAAcP368yv84nIU9jkt1+vTpAwD4448/6v01XIlp06ZhzZo1SEhIQFBQkHW70WgEgCr/28vJybH+ro1GI0pLS5GXl3fJGGd9z9T3samOM7xvruS41ISrvmfqylXeM4WFhRg+fDiuuuoqrF69Gu7u7jb7cdb3TBUNP62LagIXTNKuzoEDB8TNzU3WrVt30ZiffvpJdDqddfKfZYLg1q1brTFJSUlOM0Gwvo5Ldb777jsBIGlpaXVNt15VVlbK1KlTxWQyyYEDB6p93Gg0yiuvvGLdVlJSUu0E7S+++MIak5mZWe3kdWd6zzTUsamOI79v7HFczne5yeuu9p4536Umr1/IFd4zZrNZ+vTpI6GhoVJUVFRlP874nrkYFlYOpLCwUHbt2iW7du0SALJ48WLZtWuX9R/bl19+KQkJCXLo0CH55ptvpG3btjJ+/Hibffz3v/+VxMRE+eOPP+Szzz4TX19fmTVrlk3M8OHDpUuXLpKYmCiJiYnSuXNnGTVqVIO9ztpqiOOyZcsW637//PNP+eKLL8RkMsmYMWMa9LXWxuOPPy4Gg0E2bNggWVlZ1tvp06etMS+//LIYDAZZtWqVpKSkyH333SeBgYFSUFBgjXnsscckKChI4uPjZefOnTJo0CDp2rWrlJeXW2Oc7T3TUMfG2d439jouWVlZsmvXLnn//fcFgGzatEl27dolubm51hhXfc9c7ti44numoKBAevfuLZ07d5Y//vjDZj/O/HfmYlhYORDL/3AuvE2ePFlERN58800JCgoSd3d3ueaaa+Sf//ynlJSU2OzjmWeekYCAAHF3d5eOHTvKokWLpLKy0iYmNzdXwsPDxdvbW7y9vSU8PLxG/6vSSkMclx07dkjv3r3FYDBIs2bNpFOnTjJv3rxq/2flKKo7JgDko48+ssZUVlbKvHnzxGg0il6vlwEDBkhKSorNfs6cOSNRUVHi6+srnp6eMmrUKElPT7eJcbb3TEMdG2d739jruMybN++y+3HV98zljo0rvmcu9jccgBw+fNga52zvmYvRiYjU8SwiEREREZ2Hk9eJiIiI7ISFFREREZGdsLAiIiIishMWVkRERER2wsKKiIiIyE5YWBERERHZCQsrIiIiIjthYUVERERkJyysiIiIiOyEhRURkcYqKipQWVmpdRpEZAcsrIiIzvPpp5+iVatWKCkpsdl+11134YEHHgAAfPfddwgJCUGzZs1w7bXX4oUXXkB5ebk1dvHixejcuTO8vLzQpk0bPPHEEzh16pT18Y8//hgtWrTA999/j5tuugl6vR5paWkN8wKJqF6xsCIiOs8999yDiooKrFmzxrrtxIkT+P777/Hggw9i3bp1uP/++zF9+nTs3bsX7777Lj7++GO8+OKL1ng3Nze89dZbSE1NxSeffIL169fj6aeftvk5p0+fRnR0ND744APs2bMH/v7+DfYaiaj+cBFmIqILPPHEEzhy5AjWrl0LAHjzzTfx1ltv4Y8//kBoaChGjBiBuXPnWuP/97//4emnn0ZmZma1+/vqq6/w+OOP48SJEwDUiNWDDz6I5ORkdO3atf5fEBE1GBZWREQX2LVrF3r16oW0tDS0bt0a3bp1w1133YXnnnsOXl5eqKysRJMmTazxFRUVKC4uRlFREZo3b46EhAS89NJL2Lt3LwoKClBeXo7i4mKcOnUKXl5e+Pjjj/Hoo4+iuLgYOp1Ow1dKRPbWVOsEiIgcTffu3dG1a1d8+umnGDZsGFJSUvDdd98BACorK/HCCy9g/PjxVZ7XrFkzpKWlYeTIkXjsscfwr3/9C76+vti8eTMefvhhlJWVWWM9PT1ZVBE1QiysiIiq8cgjj+D1119HRkYGBg8ejDZt2gAAevTogf379+O6666r9nm//vorysvLsWjRIri5qWmsX375ZYPlTUTaYmFFRFSN8PBwzJkzB++//z4+/fRT6/bnn38eo0aNQps2bXDPPffAzc0Nu3fvRkpKCv7973+jQ4cOKC8vx5IlSzB69Gj88ssveOeddzR8JUTUkHhVIBFRNXx8fHDXXXfhqquuwrhx46zbhw0bhu+//x5xcXHo1asX+vTpg8WLF6Nt27YAgG7dumHx4sV45ZVXEBwcjGXLliE6OlqjV0FEDY2T14mILmLIkCG48cYb8dZbb2mdChE5CRZWREQXOHnyJGJjYxEeHo69e/eiU6dOWqdERE6Cc6yIiC7Qo0cP5OXl4ZVXXmFRRUS1whErIiIiIjvh5HUiIiIiO2FhRURERGQnLKyIiIiI7ISFFREREZGdsLAiIiIishMWVkRERER2wsKKiIiIyE5YWBERERHZCQsrIiIiIjv5f7IrYHK/DB12AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "def plot_refugees(years, data, country):\n",
    "    # create axes object\n",
    "    figure = plt.figure()\n",
    "    axes = figure.subplots()\n",
    "    # plot the data\n",
    "    axes.plot(years, data, color=\"r\")\n",
    "    # add labels and title\n",
    "    axes.set_xlabel(\"year\")\n",
    "    axes.set_ylabel(\"refugees\")\n",
    "    axes.set_title(\"Refugees in \"+country)\n",
    "    \n",
    "# define data variables\n",
    "years = [1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022]\n",
    "countries = [\"Austria\", \"Belgium\", \"Bulgaria\", \"Croatia\", \"Cyprus\", \"Czechia\", \"Denmark\", \"Estonia\", \"Finland\", \"France\", \"Germany\", \"Greece\", \"Hungary\", \"Ireland\", \"Italy\", \"Latvia\", \"Lithuania\", \"Luxembourg\", \"Malta\", \"Netherlands\", \"Poland\", \"Portugal\", \"Romania\", \"Slovak Republic\", \"Slovenia\", \"Spain\", \"Sweden\", \"United Kingdom\",]\n",
    "refugees = np.loadtxt(\"data/refugees-europe_0.txt\") # data from World Bank\n",
    "\n",
    "for data, country in zip(refugees, countries):\n",
    "    if data.mean() > 100_000:\n",
    "        plot_refugees(years, data, country)\n",
    "    else:\n",
    "        print(\"ignoring\", country)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 244,
   "id": "639c84af",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1: abc\n",
      "2: foo\n",
      "3: 123\n",
      "4: abc\n",
      "8: 42\n"
     ]
    },
    {
     "ename": "NameError",
     "evalue": "name 'outer_value' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
      "\u001b[31mNameError\u001b[39m                                 Traceback (most recent call last)",
      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[244]\u001b[39m\u001b[32m, line 19\u001b[39m\n\u001b[32m     17\u001b[39m global_value = \u001b[33m\"\u001b[39m\u001b[33mABC\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m     18\u001b[39m outer_function(\u001b[33m\"\u001b[39m\u001b[33mfoo\u001b[39m\u001b[33m\"\u001b[39m)\n\u001b[32m---> \u001b[39m\u001b[32m19\u001b[39m \u001b[38;5;28mprint\u001b[39m(\u001b[33m\"\u001b[39m\u001b[33m7:\u001b[39m\u001b[33m\"\u001b[39m, \u001b[43mouter_value\u001b[49m)\n",
      "\u001b[31mNameError\u001b[39m: name 'outer_value' is not defined"
     ]
    }
   ],
   "source": [
    "def outer_function(outer_arg):\n",
    "    global global_value\n",
    "    global_value = \"abc\"\n",
    "    print(\"1:\", global_value)\n",
    "    print(\"2:\", outer_arg)\n",
    "    outer_value = \"123\"\n",
    "    print(\"3:\", outer_value)\n",
    "    inner_function()\n",
    "        \n",
    "def inner_function():\n",
    "    inner_val=42\n",
    "    print(\"4:\", global_value)\n",
    "    #print(\"5:\", outer_arg)\n",
    "    #print(\"6:\", outer_value)\n",
    "    print(\"8:\", inner_val)\n",
    "\n",
    "global_value = \"ABC\"\n",
    "outer_function(\"foo\")\n",
    "print(\"7:\", outer_value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 253,
   "id": "9c7def9d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accumulated: 1025.2512531281243\n",
      "Compound interest: 25.25125312812429\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "def with_interest(value, rate, years):\n",
    "    return value*(1+rate/100)**years\n",
    "\n",
    "def compound_interest(value, rate, years):\n",
    "    accumulated = with_interest(value, rate, years)\n",
    "    return accumulated, accumulated - value\n",
    "\n",
    "def info(value, years):\n",
    "    rate = 0.5\n",
    "    result = compound_interest(value, rate, years)\n",
    "    print(\"Accumulated:\", result[0])\n",
    "    print(\"Compound interest:\", result[1])\n",
    "\n",
    "balance = 1000\n",
    "res = info(balance, 5)\n",
    "print(res)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 250,
   "id": "c14e8839",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1104.6221254112045"
      ]
     },
     "execution_count": 250,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "with_interest(1000,1,10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 262,
   "id": "c1c0b356",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "What is your Input? 123.123\n",
      "246\n"
     ]
    }
   ],
   "source": [
    "name = input(\"What is your Input? \")\n",
    "my_float = int(float(name))\n",
    "print(my_float*2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 263,
   "id": "b510a0c9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Enter the balance: 10000\n",
      "Enter the number of years to accumulate interest for: 20\n",
      "Enter the interest rate (%): 0.1\n",
      "Compound interest: 201.9114486054059\n"
     ]
    }
   ],
   "source": [
    "def with_interest(value, rate, years):\n",
    "    return value*(1+rate/100)**years\n",
    "\n",
    "def compound_interest(value, rate, years):\n",
    "    return with_interest(value, rate, years) - value\n",
    "\n",
    "balance = float(input(\"Enter the balance: \"))\n",
    "time = int(input(\"Enter the number of years to accumulate interest for: \"))\n",
    "interest_rate = float(input(\"Enter the interest rate (%): \"))\n",
    "res = compound_interest(balance, interest_rate, time)\n",
    "print(\"Compound interest:\", res)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0f97b0ed",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.13.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}