intro-to-python.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Statistical learning 001: Introduction to Python\n",
    "By: Joeri van Wijngaarden\n",
    "\n",
    "Date: 21.06.2018"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Import modules to use\n",
    "\n",
    "\n",
    "import os, sys\n",
    "import csv\n",
    "import matplotlib\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import this\n",
    "from IPython.display import Image\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Annotate your code!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Resources\n",
    "\n",
    "Tutorial 1 (recommended): www.codeacademy.com/learn/learn-python \n",
    "\n",
    "Tutorial 2: www.pythonprogramming.net/introduction-to-python-programming\n",
    "\n",
    "Tutorial 3 (very extensive): www.edx.org/course/python-data-science-uc-san-diegox-dse200x\n",
    "\n",
    "Python syntax: www.w3schools.com/python/default.asp\n",
    "\n",
    "SciPy syntax: https://docs.scipy.org/doc/numpy-1.14.0/index.html\n",
    "\n",
    "Pandas syntax: https://pandas.pydata.org\n",
    "\n",
    "Matlab to Python cheatsheet: http://mathesaurus.sourceforge.net/matlab-numpy.html\n",
    "\n",
    "Book's datasets: http://www-bcf.usc.edu/~gareth/ISL/data.html\n",
    "\n",
    "Theano (multi-threading computations): https://thano.readthedocs.ir/en/latest/\n",
    "\n",
    "Scikit-learn (implementation of machine learning): http://scikit-learn.org/stable/\n",
    "\n",
    "SQLite3 (disk-based database): https://docs.python.org/2/library/sqlite3.html"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Python Syntax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bugs bunny\n",
      "Bugs Bunny\n",
      "BUGS BUNNY\n"
     ]
    }
   ],
   "source": [
    "#Strings and type functions\n",
    "first_name = 'bugs'\n",
    "last_name = 'bunny'\n",
    "full_name = first_name + ' ' + last_name\n",
    "\n",
    "print(full_name)\n",
    "print(full_name.title())\n",
    "print(full_name.upper())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a= ['one']\n",
      "b= ['two', 'three']\n",
      "c= ['one', 'two', 'three']\n"
     ]
    }
   ],
   "source": [
    "#List\n",
    "a = ['one'];\n",
    "b = ['two','three']\n",
    "c = a + b\n",
    "\n",
    "print('a=',a)\n",
    "print('b=',b)\n",
    "print('c=',c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mat= [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n",
      "length= 10\n",
      "mat= [ 7.  0.  3.  0.  0. 10. 10. 10. 10. 10.]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "numpy.ndarray"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Matrix\n",
    "mat = np.zeros(10)\n",
    "\n",
    "print('mat=',mat)\n",
    "print('length=', len(mat) )\n",
    "\n",
    "mat[0] = 7\n",
    "mat[5:] = 10\n",
    "mat[2:3] = 3\n",
    "\n",
    "print('mat=',mat)\n",
    "\n",
    "type(mat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "rnd= [2 1 7 4 0]\n",
      "words= ['dog', 'cat', 'bear', 'panda', 'giraffe', 'mouse', 'human']\n",
      "\n",
      "Traditional:\n",
      "i= 2\n",
      "i= 1\n",
      "i= 7\n",
      "i= 4\n",
      "i= 0\n",
      "\n",
      "Python-style:\n",
      "j= 2\n",
      "j= 1\n",
      "j= 7\n",
      "j= 4\n",
      "j= 0\n",
      "dog\n",
      "cat\n",
      "bear\n",
      "panda\n",
      "giraffe\n",
      "mouse\n",
      "human\n"
     ]
    }
   ],
   "source": [
    "#Loops\n",
    "rnd = np.random.randint(10, size=5)\n",
    "word_list = ['dog','cat','bear','panda','giraffe','mouse','human']\n",
    "\n",
    "print('rnd=',rnd)\n",
    "print('words=',word_list)\n",
    "\n",
    "#Traditional loop\n",
    "print('\\nTraditional:')\n",
    "for i in range(5):\n",
    "    print('i=',rnd[i])\n",
    "    \n",
    "#Python-style\n",
    "print('\\nPython-style:')\n",
    "for j in rnd:\n",
    "    print('j=',j)\n",
    "\n",
    "for k in word_list:\n",
    "    print(k)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5.0\n"
     ]
    }
   ],
   "source": [
    "#Functions\n",
    "def pythagoras(x1,x2):\n",
    "    x3 = np.sqrt( x1**2 + x2**2 ) \n",
    "    return x3\n",
    "\n",
    "value = pythagoras(3,4)\n",
    "print(value)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plotting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x64044b9f98>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.linspace(0,4*np.pi, num=100)\n",
    "y1 = np.cos(x)\n",
    "y2 = np.sin(x)\n",
    "\n",
    "plt.plot(y1,'r')\n",
    "plt.plot(y2,'g')\n",
    "plt.title('Plotting sine & cosine')\n",
    "plt.xlabel('Time')\n",
    "plt.ylabel('Amplitude')\n",
    "plt.legend(['cos','sin'],loc=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 155,
     "metadata": {
      "image/png": {
       "height": 300,
       "width": 300
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url='https://sebastianraschka.com/images/blog/2015/why-python/python.png'\n",
    "Image(url,width=300,height=300)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Exercises"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['mpg', 'cylinders', 'displacement', 'horsepower', 'weight', 'acceleration', 'year', 'origin', 'name']\n",
      "['18', '8', '307', '130', '3504', '12', '70', '1', 'chevrolet chevelle malibu']\n",
      "['15', '8', '350', '165', '3693', '11.5', '70', '1', 'buick skylark 320']\n",
      "['18', '8', '318', '150', '3436', '11', '70', '1', 'plymouth satellite']\n",
      "['16', '8', '304', '150', '3433', '12', '70', '1', 'amc rebel sst']\n",
      "['17', '8', '302', '140', '3449', '10.5', '70', '1', 'ford torino']\n",
      "['15', '8', '429', '198', '4341', '10', '70', '1', 'ford galaxie 500']\n",
      "['14', '8', '454', '220', '4354', '9', '70', '1', 'chevrolet impala']\n",
      "['14', '8', '440', '215', '4312', '8.5', '70', '1', 'plymouth fury iii']\n",
      "['14', '8', '455', '225', '4425', '10', '70', '1', 'pontiac catalina']\n",
      "['15', '8', '390', '190', '3850', '8.5', '70', '1', 'amc ambassador dpl']\n",
      "['15', '8', '383', '170', '3563', '10', '70', '1', 'dodge challenger se']\n",
      "['14', '8', '340', '160', '3609', '8', '70', '1', \"plymouth 'cuda 340\"]\n",
      "['15', '8', '400', '150', '3761', '9.5', '70', '1', 'chevrolet monte carlo']\n",
      "['14', '8', '455', '225', '3086', '10', '70', '1', 'buick estate wagon (sw)']\n",
      "['24', '4', '113', '95', '2372', '15', '70', '3', 'toyota corona mark ii']\n",
      "['22', '6', '198', '95', '2833', '15.5', '70', '1', 'plymouth duster']\n",
      "['18', '6', '199', '97', '2774', '15.5', '70', '1', 'amc hornet']\n",
      "['21', '6', '200', '85', '2587', '16', '70', '1', 'ford maverick']\n",
      "['27', '4', '97', '88', '2130', '14.5', '70', '3', 'datsun pl510']\n",
      "['26', '4', '97', '46', '1835', '20.5', '70', '2', 'volkswagen 1131 deluxe sedan']\n",
      "['25', '4', '110', '87', '2672', '17.5', '70', '2', 'peugeot 504']\n",
      "['24', '4', '107', '90', '2430', '14.5', '70', '2', 'audi 100 ls']\n",
      "['25', '4', '104', '95', '2375', '17.5', '70', '2', 'saab 99e']\n",
      "['26', '4', '121', '113', '2234', '12.5', '70', '2', 'bmw 2002']\n",
      "['21', '6', '199', '90', '2648', '15', '70', '1', 'amc gremlin']\n",
      "['10', '8', '360', '215', '4615', '14', '70', '1', 'ford f250']\n",
      "['10', '8', '307', '200', '4376', '15', '70', '1', 'chevy c20']\n",
      "['11', '8', '318', '210', '4382', '13.5', '70', '1', 'dodge d200']\n",
      "['9', '8', '304', '193', '4732', '18.5', '70', '1', 'hi 1200d']\n",
      "['27', '4', '97', '88', '2130', '14.5', '71', '3', 'datsun pl510']\n",
      "['28', '4', '140', '90', '2264', '15.5', '71', '1', 'chevrolet vega 2300']\n",
      "['25', '4', '113', '95', '2228', '14', '71', '3', 'toyota corona']\n",
      "['25', '4', '98', '?', '2046', '19', '71', '1', 'ford pinto']\n",
      "['19', '6', '232', '100', '2634', '13', '71', '1', 'amc gremlin']\n",
      "['16', '6', '225', '105', '3439', '15.5', '71', '1', 'plymouth satellite custom']\n",
      "['17', '6', '250', '100', '3329', '15.5', '71', '1', 'chevrolet chevelle malibu']\n",
      "['19', '6', '250', '88', '3302', '15.5', '71', '1', 'ford torino 500']\n",
      "['18', '6', '232', '100', '3288', '15.5', '71', '1', 'amc matador']\n",
      "['14', '8', '350', '165', '4209', '12', '71', '1', 'chevrolet impala']\n",
      "['14', '8', '400', '175', '4464', '11.5', '71', '1', 'pontiac catalina brougham']\n",
      "['14', '8', '351', '153', '4154', '13.5', '71', '1', 'ford galaxie 500']\n",
      "['14', '8', '318', '150', '4096', '13', '71', '1', 'plymouth fury iii']\n",
      "['12', '8', '383', '180', '4955', '11.5', '71', '1', 'dodge monaco (sw)']\n",
      "['13', '8', '400', '170', '4746', '12', '71', '1', 'ford country squire (sw)']\n",
      "['13', '8', '400', '175', '5140', '12', '71', '1', 'pontiac safari (sw)']\n",
      "['18', '6', '258', '110', '2962', '13.5', '71', '1', 'amc hornet sportabout (sw)']\n",
      "['22', '4', '140', '72', '2408', '19', '71', '1', 'chevrolet vega (sw)']\n",
      "['19', '6', '250', '100', '3282', '15', '71', '1', 'pontiac firebird']\n",
      "['18', '6', '250', '88', '3139', '14.5', '71', '1', 'ford mustang']\n",
      "['23', '4', '122', '86', '2220', '14', '71', '1', 'mercury capri 2000']\n",
      "['28', '4', '116', '90', '2123', '14', '71', '2', 'opel 1900']\n",
      "['30', '4', '79', '70', '2074', '19.5', '71', '2', 'peugeot 304']\n",
      "['30', '4', '88', '76', '2065', '14.5', '71', '2', 'fiat 124b']\n",
      "['31', '4', '71', '65', '1773', '19', '71', '3', 'toyota corolla 1200']\n",
      "['35', '4', '72', '69', '1613', '18', '71', '3', 'datsun 1200']\n",
      "['27', '4', '97', '60', '1834', '19', '71', '2', 'volkswagen model 111']\n",
      "['26', '4', '91', '70', '1955', '20.5', '71', '1', 'plymouth cricket']\n",
      "['24', '4', '113', '95', '2278', '15.5', '72', '3', 'toyota corona hardtop']\n",
      "['25', '4', '97.5', '80', '2126', '17', '72', '1', 'dodge colt hardtop']\n",
      "['23', '4', '97', '54', '2254', '23.5', '72', '2', 'volkswagen type 3']\n",
      "['20', '4', '140', '90', '2408', '19.5', '72', '1', 'chevrolet vega']\n",
      "['21', '4', '122', '86', '2226', '16.5', '72', '1', 'ford pinto runabout']\n",
      "['13', '8', '350', '165', '4274', '12', '72', '1', 'chevrolet impala']\n",
      "['14', '8', '400', '175', '4385', '12', '72', '1', 'pontiac catalina']\n",
      "['15', '8', '318', '150', '4135', '13.5', '72', '1', 'plymouth fury iii']\n",
      "['14', '8', '351', '153', '4129', '13', '72', '1', 'ford galaxie 500']\n",
      "['17', '8', '304', '150', '3672', '11.5', '72', '1', 'amc ambassador sst']\n",
      "['11', '8', '429', '208', '4633', '11', '72', '1', 'mercury marquis']\n",
      "['13', '8', '350', '155', '4502', '13.5', '72', '1', 'buick lesabre custom']\n",
      "['12', '8', '350', '160', '4456', '13.5', '72', '1', 'oldsmobile delta 88 royale']\n",
      "['13', '8', '400', '190', '4422', '12.5', '72', '1', 'chrysler newport royal']\n",
      "['19', '3', '70', '97', '2330', '13.5', '72', '3', 'mazda rx2 coupe']\n",
      "['15', '8', '304', '150', '3892', '12.5', '72', '1', 'amc matador (sw)']\n",
      "['13', '8', '307', '130', '4098', '14', '72', '1', 'chevrolet chevelle concours (sw)']\n",
      "['13', '8', '302', '140', '4294', '16', '72', '1', 'ford gran torino (sw)']\n",
      "['14', '8', '318', '150', '4077', '14', '72', '1', 'plymouth satellite custom (sw)']\n",
      "['18', '4', '121', '112', '2933', '14.5', '72', '2', 'volvo 145e (sw)']\n",
      "['22', '4', '121', '76', '2511', '18', '72', '2', 'volkswagen 411 (sw)']\n",
      "['21', '4', '120', '87', '2979', '19.5', '72', '2', 'peugeot 504 (sw)']\n",
      "['26', '4', '96', '69', '2189', '18', '72', '2', 'renault 12 (sw)']\n",
      "['22', '4', '122', '86', '2395', '16', '72', '1', 'ford pinto (sw)']\n",
      "['28', '4', '97', '92', '2288', '17', '72', '3', 'datsun 510 (sw)']\n",
      "['23', '4', '120', '97', '2506', '14.5', '72', '3', 'toyouta corona mark ii (sw)']\n",
      "['28', '4', '98', '80', '2164', '15', '72', '1', 'dodge colt (sw)']\n",
      "['27', '4', '97', '88', '2100', '16.5', '72', '3', 'toyota corolla 1600 (sw)']\n",
      "['13', '8', '350', '175', '4100', '13', '73', '1', 'buick century 350']\n",
      "['14', '8', '304', '150', '3672', '11.5', '73', '1', 'amc matador']\n",
      "['13', '8', '350', '145', '3988', '13', '73', '1', 'chevrolet malibu']\n",
      "['14', '8', '302', '137', '4042', '14.5', '73', '1', 'ford gran torino']\n",
      "['15', '8', '318', '150', '3777', '12.5', '73', '1', 'dodge coronet custom']\n",
      "['12', '8', '429', '198', '4952', '11.5', '73', '1', 'mercury marquis brougham']\n",
      "['13', '8', '400', '150', '4464', '12', '73', '1', 'chevrolet caprice classic']\n",
      "['13', '8', '351', '158', '4363', '13', '73', '1', 'ford ltd']\n",
      "['14', '8', '318', '150', '4237', '14.5', '73', '1', 'plymouth fury gran sedan']\n",
      "['13', '8', '440', '215', '4735', '11', '73', '1', 'chrysler new yorker brougham']\n",
      "['12', '8', '455', '225', '4951', '11', '73', '1', 'buick electra 225 custom']\n",
      "['13', '8', '360', '175', '3821', '11', '73', '1', 'amc ambassador brougham']\n",
      "['18', '6', '225', '105', '3121', '16.5', '73', '1', 'plymouth valiant']\n",
      "['16', '6', '250', '100', '3278', '18', '73', '1', 'chevrolet nova custom']\n",
      "['18', '6', '232', '100', '2945', '16', '73', '1', 'amc hornet']\n",
      "['18', '6', '250', '88', '3021', '16.5', '73', '1', 'ford maverick']\n",
      "['23', '6', '198', '95', '2904', '16', '73', '1', 'plymouth duster']\n",
      "['26', '4', '97', '46', '1950', '21', '73', '2', 'volkswagen super beetle']\n",
      "['11', '8', '400', '150', '4997', '14', '73', '1', 'chevrolet impala']\n",
      "['12', '8', '400', '167', '4906', '12.5', '73', '1', 'ford country']\n",
      "['13', '8', '360', '170', '4654', '13', '73', '1', 'plymouth custom suburb']\n",
      "['12', '8', '350', '180', '4499', '12.5', '73', '1', 'oldsmobile vista cruiser']\n",
      "['18', '6', '232', '100', '2789', '15', '73', '1', 'amc gremlin']\n",
      "['20', '4', '97', '88', '2279', '19', '73', '3', 'toyota carina']\n",
      "['21', '4', '140', '72', '2401', '19.5', '73', '1', 'chevrolet vega']\n",
      "['22', '4', '108', '94', '2379', '16.5', '73', '3', 'datsun 610']\n",
      "['18', '3', '70', '90', '2124', '13.5', '73', '3', 'maxda rx3']\n",
      "['19', '4', '122', '85', '2310', '18.5', '73', '1', 'ford pinto']\n",
      "['21', '6', '155', '107', '2472', '14', '73', '1', 'mercury capri v6']\n",
      "['26', '4', '98', '90', '2265', '15.5', '73', '2', 'fiat 124 sport coupe']\n",
      "['15', '8', '350', '145', '4082', '13', '73', '1', 'chevrolet monte carlo s']\n",
      "['16', '8', '400', '230', '4278', '9.5', '73', '1', 'pontiac grand prix']\n",
      "['29', '4', '68', '49', '1867', '19.5', '73', '2', 'fiat 128']\n",
      "['24', '4', '116', '75', '2158', '15.5', '73', '2', 'opel manta']\n",
      "['20', '4', '114', '91', '2582', '14', '73', '2', 'audi 100ls']\n",
      "['19', '4', '121', '112', '2868', '15.5', '73', '2', 'volvo 144ea']\n",
      "['15', '8', '318', '150', '3399', '11', '73', '1', 'dodge dart custom']\n",
      "['24', '4', '121', '110', '2660', '14', '73', '2', 'saab 99le']\n",
      "['20', '6', '156', '122', '2807', '13.5', '73', '3', 'toyota mark ii']\n",
      "['11', '8', '350', '180', '3664', '11', '73', '1', 'oldsmobile omega']\n",
      "['20', '6', '198', '95', '3102', '16.5', '74', '1', 'plymouth duster']\n",
      "['21', '6', '200', '?', '2875', '17', '74', '1', 'ford maverick']\n",
      "['19', '6', '232', '100', '2901', '16', '74', '1', 'amc hornet']\n",
      "['15', '6', '250', '100', '3336', '17', '74', '1', 'chevrolet nova']\n",
      "['31', '4', '79', '67', '1950', '19', '74', '3', 'datsun b210']\n",
      "['26', '4', '122', '80', '2451', '16.5', '74', '1', 'ford pinto']\n",
      "['32', '4', '71', '65', '1836', '21', '74', '3', 'toyota corolla 1200']\n",
      "['25', '4', '140', '75', '2542', '17', '74', '1', 'chevrolet vega']\n",
      "['16', '6', '250', '100', '3781', '17', '74', '1', 'chevrolet chevelle malibu classic']\n",
      "['16', '6', '258', '110', '3632', '18', '74', '1', 'amc matador']\n",
      "['18', '6', '225', '105', '3613', '16.5', '74', '1', 'plymouth satellite sebring']\n",
      "['16', '8', '302', '140', '4141', '14', '74', '1', 'ford gran torino']\n",
      "['13', '8', '350', '150', '4699', '14.5', '74', '1', 'buick century luxus (sw)']\n",
      "['14', '8', '318', '150', '4457', '13.5', '74', '1', 'dodge coronet custom (sw)']\n",
      "['14', '8', '302', '140', '4638', '16', '74', '1', 'ford gran torino (sw)']\n",
      "['14', '8', '304', '150', '4257', '15.5', '74', '1', 'amc matador (sw)']\n",
      "['29', '4', '98', '83', '2219', '16.5', '74', '2', 'audi fox']\n",
      "['26', '4', '79', '67', '1963', '15.5', '74', '2', 'volkswagen dasher']\n",
      "['26', '4', '97', '78', '2300', '14.5', '74', '2', 'opel manta']\n",
      "['31', '4', '76', '52', '1649', '16.5', '74', '3', 'toyota corona']\n",
      "['32', '4', '83', '61', '2003', '19', '74', '3', 'datsun 710']\n",
      "['28', '4', '90', '75', '2125', '14.5', '74', '1', 'dodge colt']\n",
      "['24', '4', '90', '75', '2108', '15.5', '74', '2', 'fiat 128']\n",
      "['26', '4', '116', '75', '2246', '14', '74', '2', 'fiat 124 tc']\n",
      "['24', '4', '120', '97', '2489', '15', '74', '3', 'honda civic']\n",
      "['26', '4', '108', '93', '2391', '15.5', '74', '3', 'subaru']\n",
      "['31', '4', '79', '67', '2000', '16', '74', '2', 'fiat x1.9']\n",
      "['19', '6', '225', '95', '3264', '16', '75', '1', 'plymouth valiant custom']\n",
      "['18', '6', '250', '105', '3459', '16', '75', '1', 'chevrolet nova']\n",
      "['15', '6', '250', '72', '3432', '21', '75', '1', 'mercury monarch']\n",
      "['15', '6', '250', '72', '3158', '19.5', '75', '1', 'ford maverick']\n",
      "['16', '8', '400', '170', '4668', '11.5', '75', '1', 'pontiac catalina']\n",
      "['15', '8', '350', '145', '4440', '14', '75', '1', 'chevrolet bel air']\n",
      "['16', '8', '318', '150', '4498', '14.5', '75', '1', 'plymouth grand fury']\n",
      "['14', '8', '351', '148', '4657', '13.5', '75', '1', 'ford ltd']\n",
      "['17', '6', '231', '110', '3907', '21', '75', '1', 'buick century']\n",
      "['16', '6', '250', '105', '3897', '18.5', '75', '1', 'chevroelt chevelle malibu']\n",
      "['15', '6', '258', '110', '3730', '19', '75', '1', 'amc matador']\n",
      "['18', '6', '225', '95', '3785', '19', '75', '1', 'plymouth fury']\n",
      "['21', '6', '231', '110', '3039', '15', '75', '1', 'buick skyhawk']\n",
      "['20', '8', '262', '110', '3221', '13.5', '75', '1', 'chevrolet monza 2+2']\n",
      "['13', '8', '302', '129', '3169', '12', '75', '1', 'ford mustang ii']\n",
      "['29', '4', '97', '75', '2171', '16', '75', '3', 'toyota corolla']\n",
      "['23', '4', '140', '83', '2639', '17', '75', '1', 'ford pinto']\n",
      "['20', '6', '232', '100', '2914', '16', '75', '1', 'amc gremlin']\n",
      "['23', '4', '140', '78', '2592', '18.5', '75', '1', 'pontiac astro']\n",
      "['24', '4', '134', '96', '2702', '13.5', '75', '3', 'toyota corona']\n",
      "['25', '4', '90', '71', '2223', '16.5', '75', '2', 'volkswagen dasher']\n",
      "['24', '4', '119', '97', '2545', '17', '75', '3', 'datsun 710']\n",
      "['18', '6', '171', '97', '2984', '14.5', '75', '1', 'ford pinto']\n",
      "['29', '4', '90', '70', '1937', '14', '75', '2', 'volkswagen rabbit']\n",
      "['19', '6', '232', '90', '3211', '17', '75', '1', 'amc pacer']\n",
      "['23', '4', '115', '95', '2694', '15', '75', '2', 'audi 100ls']\n",
      "['23', '4', '120', '88', '2957', '17', '75', '2', 'peugeot 504']\n",
      "['22', '4', '121', '98', '2945', '14.5', '75', '2', 'volvo 244dl']\n",
      "['25', '4', '121', '115', '2671', '13.5', '75', '2', 'saab 99le']\n",
      "['33', '4', '91', '53', '1795', '17.5', '75', '3', 'honda civic cvcc']\n",
      "['28', '4', '107', '86', '2464', '15.5', '76', '2', 'fiat 131']\n",
      "['25', '4', '116', '81', '2220', '16.9', '76', '2', 'opel 1900']\n",
      "['25', '4', '140', '92', '2572', '14.9', '76', '1', 'capri ii']\n",
      "['26', '4', '98', '79', '2255', '17.7', '76', '1', 'dodge colt']\n",
      "['27', '4', '101', '83', '2202', '15.3', '76', '2', 'renault 12tl']\n",
      "['17.5', '8', '305', '140', '4215', '13', '76', '1', 'chevrolet chevelle malibu classic']\n",
      "['16', '8', '318', '150', '4190', '13', '76', '1', 'dodge coronet brougham']\n",
      "['15.5', '8', '304', '120', '3962', '13.9', '76', '1', 'amc matador']\n",
      "['14.5', '8', '351', '152', '4215', '12.8', '76', '1', 'ford gran torino']\n",
      "['22', '6', '225', '100', '3233', '15.4', '76', '1', 'plymouth valiant']\n",
      "['22', '6', '250', '105', '3353', '14.5', '76', '1', 'chevrolet nova']\n",
      "['24', '6', '200', '81', '3012', '17.6', '76', '1', 'ford maverick']\n",
      "['22.5', '6', '232', '90', '3085', '17.6', '76', '1', 'amc hornet']\n",
      "['29', '4', '85', '52', '2035', '22.2', '76', '1', 'chevrolet chevette']\n",
      "['24.5', '4', '98', '60', '2164', '22.1', '76', '1', 'chevrolet woody']\n",
      "['29', '4', '90', '70', '1937', '14.2', '76', '2', 'vw rabbit']\n",
      "['33', '4', '91', '53', '1795', '17.4', '76', '3', 'honda civic']\n",
      "['20', '6', '225', '100', '3651', '17.7', '76', '1', 'dodge aspen se']\n",
      "['18', '6', '250', '78', '3574', '21', '76', '1', 'ford granada ghia']\n",
      "['18.5', '6', '250', '110', '3645', '16.2', '76', '1', 'pontiac ventura sj']\n",
      "['17.5', '6', '258', '95', '3193', '17.8', '76', '1', 'amc pacer d/l']\n",
      "['29.5', '4', '97', '71', '1825', '12.2', '76', '2', 'volkswagen rabbit']\n",
      "['32', '4', '85', '70', '1990', '17', '76', '3', 'datsun b-210']\n",
      "['28', '4', '97', '75', '2155', '16.4', '76', '3', 'toyota corolla']\n",
      "['26.5', '4', '140', '72', '2565', '13.6', '76', '1', 'ford pinto']\n",
      "['20', '4', '130', '102', '3150', '15.7', '76', '2', 'volvo 245']\n",
      "['13', '8', '318', '150', '3940', '13.2', '76', '1', 'plymouth volare premier v8']\n",
      "['19', '4', '120', '88', '3270', '21.9', '76', '2', 'peugeot 504']\n",
      "['19', '6', '156', '108', '2930', '15.5', '76', '3', 'toyota mark ii']\n",
      "['16.5', '6', '168', '120', '3820', '16.7', '76', '2', 'mercedes-benz 280s']\n",
      "['16.5', '8', '350', '180', '4380', '12.1', '76', '1', 'cadillac seville']\n",
      "['13', '8', '350', '145', '4055', '12', '76', '1', 'chevy c10']\n",
      "['13', '8', '302', '130', '3870', '15', '76', '1', 'ford f108']\n",
      "['13', '8', '318', '150', '3755', '14', '76', '1', 'dodge d100']\n",
      "['31.5', '4', '98', '68', '2045', '18.5', '77', '3', 'honda accord cvcc']\n",
      "['30', '4', '111', '80', '2155', '14.8', '77', '1', 'buick opel isuzu deluxe']\n",
      "['36', '4', '79', '58', '1825', '18.6', '77', '2', 'renault 5 gtl']\n",
      "['25.5', '4', '122', '96', '2300', '15.5', '77', '1', 'plymouth arrow gs']\n",
      "['33.5', '4', '85', '70', '1945', '16.8', '77', '3', 'datsun f-10 hatchback']\n",
      "['17.5', '8', '305', '145', '3880', '12.5', '77', '1', 'chevrolet caprice classic']\n",
      "['17', '8', '260', '110', '4060', '19', '77', '1', 'oldsmobile cutlass supreme']\n",
      "['15.5', '8', '318', '145', '4140', '13.7', '77', '1', 'dodge monaco brougham']\n",
      "['15', '8', '302', '130', '4295', '14.9', '77', '1', 'mercury cougar brougham']\n",
      "['17.5', '6', '250', '110', '3520', '16.4', '77', '1', 'chevrolet concours']\n",
      "['20.5', '6', '231', '105', '3425', '16.9', '77', '1', 'buick skylark']\n",
      "['19', '6', '225', '100', '3630', '17.7', '77', '1', 'plymouth volare custom']\n",
      "['18.5', '6', '250', '98', '3525', '19', '77', '1', 'ford granada']\n",
      "['16', '8', '400', '180', '4220', '11.1', '77', '1', 'pontiac grand prix lj']\n",
      "['15.5', '8', '350', '170', '4165', '11.4', '77', '1', 'chevrolet monte carlo landau']\n",
      "['15.5', '8', '400', '190', '4325', '12.2', '77', '1', 'chrysler cordoba']\n",
      "['16', '8', '351', '149', '4335', '14.5', '77', '1', 'ford thunderbird']\n",
      "['29', '4', '97', '78', '1940', '14.5', '77', '2', 'volkswagen rabbit custom']\n",
      "['24.5', '4', '151', '88', '2740', '16', '77', '1', 'pontiac sunbird coupe']\n",
      "['26', '4', '97', '75', '2265', '18.2', '77', '3', 'toyota corolla liftback']\n",
      "['25.5', '4', '140', '89', '2755', '15.8', '77', '1', 'ford mustang ii 2+2']\n",
      "['30.5', '4', '98', '63', '2051', '17', '77', '1', 'chevrolet chevette']\n",
      "['33.5', '4', '98', '83', '2075', '15.9', '77', '1', 'dodge colt m/m']\n",
      "['30', '4', '97', '67', '1985', '16.4', '77', '3', 'subaru dl']\n",
      "['30.5', '4', '97', '78', '2190', '14.1', '77', '2', 'volkswagen dasher']\n",
      "['22', '6', '146', '97', '2815', '14.5', '77', '3', 'datsun 810']\n",
      "['21.5', '4', '121', '110', '2600', '12.8', '77', '2', 'bmw 320i']\n",
      "['21.5', '3', '80', '110', '2720', '13.5', '77', '3', 'mazda rx-4']\n",
      "['43.1', '4', '90', '48', '1985', '21.5', '78', '2', 'volkswagen rabbit custom diesel']\n",
      "['36.1', '4', '98', '66', '1800', '14.4', '78', '1', 'ford fiesta']\n",
      "['32.8', '4', '78', '52', '1985', '19.4', '78', '3', 'mazda glc deluxe']\n",
      "['39.4', '4', '85', '70', '2070', '18.6', '78', '3', 'datsun b210 gx']\n",
      "['36.1', '4', '91', '60', '1800', '16.4', '78', '3', 'honda civic cvcc']\n",
      "['19.9', '8', '260', '110', '3365', '15.5', '78', '1', 'oldsmobile cutlass salon brougham']\n",
      "['19.4', '8', '318', '140', '3735', '13.2', '78', '1', 'dodge diplomat']\n",
      "['20.2', '8', '302', '139', '3570', '12.8', '78', '1', 'mercury monarch ghia']\n",
      "['19.2', '6', '231', '105', '3535', '19.2', '78', '1', 'pontiac phoenix lj']\n",
      "['20.5', '6', '200', '95', '3155', '18.2', '78', '1', 'chevrolet malibu']\n",
      "['20.2', '6', '200', '85', '2965', '15.8', '78', '1', 'ford fairmont (auto)']\n",
      "['25.1', '4', '140', '88', '2720', '15.4', '78', '1', 'ford fairmont (man)']\n",
      "['20.5', '6', '225', '100', '3430', '17.2', '78', '1', 'plymouth volare']\n",
      "['19.4', '6', '232', '90', '3210', '17.2', '78', '1', 'amc concord']\n",
      "['20.6', '6', '231', '105', '3380', '15.8', '78', '1', 'buick century special']\n",
      "['20.8', '6', '200', '85', '3070', '16.7', '78', '1', 'mercury zephyr']\n",
      "['18.6', '6', '225', '110', '3620', '18.7', '78', '1', 'dodge aspen']\n",
      "['18.1', '6', '258', '120', '3410', '15.1', '78', '1', 'amc concord d/l']\n",
      "['19.2', '8', '305', '145', '3425', '13.2', '78', '1', 'chevrolet monte carlo landau']\n",
      "['17.7', '6', '231', '165', '3445', '13.4', '78', '1', 'buick regal sport coupe (turbo)']\n",
      "['18.1', '8', '302', '139', '3205', '11.2', '78', '1', 'ford futura']\n",
      "['17.5', '8', '318', '140', '4080', '13.7', '78', '1', 'dodge magnum xe']\n",
      "['30', '4', '98', '68', '2155', '16.5', '78', '1', 'chevrolet chevette']\n",
      "['27.5', '4', '134', '95', '2560', '14.2', '78', '3', 'toyota corona']\n",
      "['27.2', '4', '119', '97', '2300', '14.7', '78', '3', 'datsun 510']\n",
      "['30.9', '4', '105', '75', '2230', '14.5', '78', '1', 'dodge omni']\n",
      "['21.1', '4', '134', '95', '2515', '14.8', '78', '3', 'toyota celica gt liftback']\n",
      "['23.2', '4', '156', '105', '2745', '16.7', '78', '1', 'plymouth sapporo']\n",
      "['23.8', '4', '151', '85', '2855', '17.6', '78', '1', 'oldsmobile starfire sx']\n",
      "['23.9', '4', '119', '97', '2405', '14.9', '78', '3', 'datsun 200-sx']\n",
      "['20.3', '5', '131', '103', '2830', '15.9', '78', '2', 'audi 5000']\n",
      "['17', '6', '163', '125', '3140', '13.6', '78', '2', 'volvo 264gl']\n",
      "['21.6', '4', '121', '115', '2795', '15.7', '78', '2', 'saab 99gle']\n",
      "['16.2', '6', '163', '133', '3410', '15.8', '78', '2', 'peugeot 604sl']\n",
      "['31.5', '4', '89', '71', '1990', '14.9', '78', '2', 'volkswagen scirocco']\n",
      "['29.5', '4', '98', '68', '2135', '16.6', '78', '3', 'honda accord lx']\n",
      "['21.5', '6', '231', '115', '3245', '15.4', '79', '1', 'pontiac lemans v6']\n",
      "['19.8', '6', '200', '85', '2990', '18.2', '79', '1', 'mercury zephyr 6']\n",
      "['22.3', '4', '140', '88', '2890', '17.3', '79', '1', 'ford fairmont 4']\n",
      "['20.2', '6', '232', '90', '3265', '18.2', '79', '1', 'amc concord dl 6']\n",
      "['20.6', '6', '225', '110', '3360', '16.6', '79', '1', 'dodge aspen 6']\n",
      "['17', '8', '305', '130', '3840', '15.4', '79', '1', 'chevrolet caprice classic']\n",
      "['17.6', '8', '302', '129', '3725', '13.4', '79', '1', 'ford ltd landau']\n",
      "['16.5', '8', '351', '138', '3955', '13.2', '79', '1', 'mercury grand marquis']\n",
      "['18.2', '8', '318', '135', '3830', '15.2', '79', '1', 'dodge st. regis']\n",
      "['16.9', '8', '350', '155', '4360', '14.9', '79', '1', 'buick estate wagon (sw)']\n",
      "['15.5', '8', '351', '142', '4054', '14.3', '79', '1', 'ford country squire (sw)']\n",
      "['19.2', '8', '267', '125', '3605', '15', '79', '1', 'chevrolet malibu classic (sw)']\n",
      "['18.5', '8', '360', '150', '3940', '13', '79', '1', 'chrysler lebaron town @ country (sw)']\n",
      "['31.9', '4', '89', '71', '1925', '14', '79', '2', 'vw rabbit custom']\n",
      "['34.1', '4', '86', '65', '1975', '15.2', '79', '3', 'maxda glc deluxe']\n",
      "['35.7', '4', '98', '80', '1915', '14.4', '79', '1', 'dodge colt hatchback custom']\n",
      "['27.4', '4', '121', '80', '2670', '15', '79', '1', 'amc spirit dl']\n",
      "['25.4', '5', '183', '77', '3530', '20.1', '79', '2', 'mercedes benz 300d']\n",
      "['23', '8', '350', '125', '3900', '17.4', '79', '1', 'cadillac eldorado']\n",
      "['27.2', '4', '141', '71', '3190', '24.8', '79', '2', 'peugeot 504']\n",
      "['23.9', '8', '260', '90', '3420', '22.2', '79', '1', 'oldsmobile cutlass salon brougham']\n",
      "['34.2', '4', '105', '70', '2200', '13.2', '79', '1', 'plymouth horizon']\n",
      "['34.5', '4', '105', '70', '2150', '14.9', '79', '1', 'plymouth horizon tc3']\n",
      "['31.8', '4', '85', '65', '2020', '19.2', '79', '3', 'datsun 210']\n",
      "['37.3', '4', '91', '69', '2130', '14.7', '79', '2', 'fiat strada custom']\n",
      "['28.4', '4', '151', '90', '2670', '16', '79', '1', 'buick skylark limited']\n",
      "['28.8', '6', '173', '115', '2595', '11.3', '79', '1', 'chevrolet citation']\n",
      "['26.8', '6', '173', '115', '2700', '12.9', '79', '1', 'oldsmobile omega brougham']\n",
      "['33.5', '4', '151', '90', '2556', '13.2', '79', '1', 'pontiac phoenix']\n",
      "['41.5', '4', '98', '76', '2144', '14.7', '80', '2', 'vw rabbit']\n",
      "['38.1', '4', '89', '60', '1968', '18.8', '80', '3', 'toyota corolla tercel']\n",
      "['32.1', '4', '98', '70', '2120', '15.5', '80', '1', 'chevrolet chevette']\n",
      "['37.2', '4', '86', '65', '2019', '16.4', '80', '3', 'datsun 310']\n",
      "['28', '4', '151', '90', '2678', '16.5', '80', '1', 'chevrolet citation']\n",
      "['26.4', '4', '140', '88', '2870', '18.1', '80', '1', 'ford fairmont']\n",
      "['24.3', '4', '151', '90', '3003', '20.1', '80', '1', 'amc concord']\n",
      "['19.1', '6', '225', '90', '3381', '18.7', '80', '1', 'dodge aspen']\n",
      "['34.3', '4', '97', '78', '2188', '15.8', '80', '2', 'audi 4000']\n",
      "['29.8', '4', '134', '90', '2711', '15.5', '80', '3', 'toyota corona liftback']\n",
      "['31.3', '4', '120', '75', '2542', '17.5', '80', '3', 'mazda 626']\n",
      "['37', '4', '119', '92', '2434', '15', '80', '3', 'datsun 510 hatchback']\n",
      "['32.2', '4', '108', '75', '2265', '15.2', '80', '3', 'toyota corolla']\n",
      "['46.6', '4', '86', '65', '2110', '17.9', '80', '3', 'mazda glc']\n",
      "['27.9', '4', '156', '105', '2800', '14.4', '80', '1', 'dodge colt']\n",
      "['40.8', '4', '85', '65', '2110', '19.2', '80', '3', 'datsun 210']\n",
      "['44.3', '4', '90', '48', '2085', '21.7', '80', '2', 'vw rabbit c (diesel)']\n",
      "['43.4', '4', '90', '48', '2335', '23.7', '80', '2', 'vw dasher (diesel)']\n",
      "['36.4', '5', '121', '67', '2950', '19.9', '80', '2', 'audi 5000s (diesel)']\n",
      "['30', '4', '146', '67', '3250', '21.8', '80', '2', 'mercedes-benz 240d']\n",
      "['44.6', '4', '91', '67', '1850', '13.8', '80', '3', 'honda civic 1500 gl']\n",
      "['40.9', '4', '85', '?', '1835', '17.3', '80', '2', 'renault lecar deluxe']\n",
      "['33.8', '4', '97', '67', '2145', '18', '80', '3', 'subaru dl']\n",
      "['29.8', '4', '89', '62', '1845', '15.3', '80', '2', 'vokswagen rabbit']\n",
      "['32.7', '6', '168', '132', '2910', '11.4', '80', '3', 'datsun 280-zx']\n",
      "['23.7', '3', '70', '100', '2420', '12.5', '80', '3', 'mazda rx-7 gs']\n",
      "['35', '4', '122', '88', '2500', '15.1', '80', '2', 'triumph tr7 coupe']\n",
      "['23.6', '4', '140', '?', '2905', '14.3', '80', '1', 'ford mustang cobra']\n",
      "['32.4', '4', '107', '72', '2290', '17', '80', '3', 'honda accord']\n",
      "['27.2', '4', '135', '84', '2490', '15.7', '81', '1', 'plymouth reliant']\n",
      "['26.6', '4', '151', '84', '2635', '16.4', '81', '1', 'buick skylark']\n",
      "['25.8', '4', '156', '92', '2620', '14.4', '81', '1', 'dodge aries wagon (sw)']\n",
      "['23.5', '6', '173', '110', '2725', '12.6', '81', '1', 'chevrolet citation']\n",
      "['30', '4', '135', '84', '2385', '12.9', '81', '1', 'plymouth reliant']\n",
      "['39.1', '4', '79', '58', '1755', '16.9', '81', '3', 'toyota starlet']\n",
      "['39', '4', '86', '64', '1875', '16.4', '81', '1', 'plymouth champ']\n",
      "['35.1', '4', '81', '60', '1760', '16.1', '81', '3', 'honda civic 1300']\n",
      "['32.3', '4', '97', '67', '2065', '17.8', '81', '3', 'subaru']\n",
      "['37', '4', '85', '65', '1975', '19.4', '81', '3', 'datsun 210 mpg']\n",
      "['37.7', '4', '89', '62', '2050', '17.3', '81', '3', 'toyota tercel']\n",
      "['34.1', '4', '91', '68', '1985', '16', '81', '3', 'mazda glc 4']\n",
      "['34.7', '4', '105', '63', '2215', '14.9', '81', '1', 'plymouth horizon 4']\n",
      "['34.4', '4', '98', '65', '2045', '16.2', '81', '1', 'ford escort 4w']\n",
      "['29.9', '4', '98', '65', '2380', '20.7', '81', '1', 'ford escort 2h']\n",
      "['33', '4', '105', '74', '2190', '14.2', '81', '2', 'volkswagen jetta']\n",
      "['34.5', '4', '100', '?', '2320', '15.8', '81', '2', 'renault 18i']\n",
      "['33.7', '4', '107', '75', '2210', '14.4', '81', '3', 'honda prelude']\n",
      "['32.4', '4', '108', '75', '2350', '16.8', '81', '3', 'toyota corolla']\n",
      "['32.9', '4', '119', '100', '2615', '14.8', '81', '3', 'datsun 200sx']\n",
      "['31.6', '4', '120', '74', '2635', '18.3', '81', '3', 'mazda 626']\n",
      "['28.1', '4', '141', '80', '3230', '20.4', '81', '2', 'peugeot 505s turbo diesel']\n",
      "['30.7', '6', '145', '76', '3160', '19.6', '81', '2', 'volvo diesel']\n",
      "['25.4', '6', '168', '116', '2900', '12.6', '81', '3', 'toyota cressida']\n",
      "['24.2', '6', '146', '120', '2930', '13.8', '81', '3', 'datsun 810 maxima']\n",
      "['22.4', '6', '231', '110', '3415', '15.8', '81', '1', 'buick century']\n",
      "['26.6', '8', '350', '105', '3725', '19', '81', '1', 'oldsmobile cutlass ls']\n",
      "['20.2', '6', '200', '88', '3060', '17.1', '81', '1', 'ford granada gl']\n",
      "['17.6', '6', '225', '85', '3465', '16.6', '81', '1', 'chrysler lebaron salon']\n",
      "['28', '4', '112', '88', '2605', '19.6', '82', '1', 'chevrolet cavalier']\n",
      "['27', '4', '112', '88', '2640', '18.6', '82', '1', 'chevrolet cavalier wagon']\n",
      "['34', '4', '112', '88', '2395', '18', '82', '1', 'chevrolet cavalier 2-door']\n",
      "['31', '4', '112', '85', '2575', '16.2', '82', '1', 'pontiac j2000 se hatchback']\n",
      "['29', '4', '135', '84', '2525', '16', '82', '1', 'dodge aries se']\n",
      "['27', '4', '151', '90', '2735', '18', '82', '1', 'pontiac phoenix']\n",
      "['24', '4', '140', '92', '2865', '16.4', '82', '1', 'ford fairmont futura']\n",
      "['36', '4', '105', '74', '1980', '15.3', '82', '2', 'volkswagen rabbit l']\n",
      "['37', '4', '91', '68', '2025', '18.2', '82', '3', 'mazda glc custom l']\n",
      "['31', '4', '91', '68', '1970', '17.6', '82', '3', 'mazda glc custom']\n",
      "['38', '4', '105', '63', '2125', '14.7', '82', '1', 'plymouth horizon miser']\n",
      "['36', '4', '98', '70', '2125', '17.3', '82', '1', 'mercury lynx l']\n",
      "['36', '4', '120', '88', '2160', '14.5', '82', '3', 'nissan stanza xe']\n",
      "['36', '4', '107', '75', '2205', '14.5', '82', '3', 'honda accord']\n",
      "['34', '4', '108', '70', '2245', '16.9', '82', '3', 'toyota corolla']\n",
      "['38', '4', '91', '67', '1965', '15', '82', '3', 'honda civic']\n",
      "['32', '4', '91', '67', '1965', '15.7', '82', '3', 'honda civic (auto)']\n",
      "['38', '4', '91', '67', '1995', '16.2', '82', '3', 'datsun 310 gx']\n",
      "['25', '6', '181', '110', '2945', '16.4', '82', '1', 'buick century limited']\n",
      "['38', '6', '262', '85', '3015', '17', '82', '1', 'oldsmobile cutlass ciera (diesel)']\n",
      "['26', '4', '156', '92', '2585', '14.5', '82', '1', 'chrysler lebaron medallion']\n",
      "['22', '6', '232', '112', '2835', '14.7', '82', '1', 'ford granada l']\n",
      "['32', '4', '144', '96', '2665', '13.9', '82', '3', 'toyota celica gt']\n",
      "['36', '4', '135', '84', '2370', '13', '82', '1', 'dodge charger 2.2']\n",
      "['27', '4', '151', '90', '2950', '17.3', '82', '1', 'chevrolet camaro']\n",
      "['27', '4', '140', '86', '2790', '15.6', '82', '1', 'ford mustang gl']\n",
      "['44', '4', '97', '52', '2130', '24.6', '82', '2', 'vw pickup']\n",
      "['32', '4', '135', '84', '2295', '11.6', '82', '1', 'dodge rampage']\n",
      "['28', '4', '120', '79', '2625', '18.6', '82', '1', 'ford ranger']\n",
      "['31', '4', '119', '82', '2720', '19.4', '82', '1', 'chevy s-10']\n"
     ]
    }
   ],
   "source": [
    "### Loading Data ###\n",
    "\n",
    "#Traditional python reader\n",
    "fname = 'Auto.csv'\n",
    "f = open(fname, 'r')\n",
    "reader = csv.reader(f) \n",
    "\n",
    "for row in reader:\n",
    "    print(row)\n",
    "    \n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mpg</th>\n",
       "      <th>cylinders</th>\n",
       "      <th>displacement</th>\n",
       "      <th>horsepower</th>\n",
       "      <th>weight</th>\n",
       "      <th>acceleration</th>\n",
       "      <th>year</th>\n",
       "      <th>origin</th>\n",
       "      <th>name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>18.0</td>\n",
       "      <td>8</td>\n",
       "      <td>307.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>3504</td>\n",
       "      <td>12.0</td>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "      <td>chevrolet chevelle malibu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15.0</td>\n",
       "      <td>8</td>\n",
       "      <td>350.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>3693</td>\n",
       "      <td>11.5</td>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "      <td>buick skylark 320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>18.0</td>\n",
       "      <td>8</td>\n",
       "      <td>318.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>3436</td>\n",
       "      <td>11.0</td>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "      <td>plymouth satellite</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>16.0</td>\n",
       "      <td>8</td>\n",
       "      <td>304.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>3433</td>\n",
       "      <td>12.0</td>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "      <td>amc rebel sst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>17.0</td>\n",
       "      <td>8</td>\n",
       "      <td>302.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>3449</td>\n",
       "      <td>10.5</td>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "      <td>ford torino</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>15.0</td>\n",
       "      <td>8</td>\n",
       "      <td>429.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>4341</td>\n",
       "      <td>10.0</td>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "      <td>ford galaxie 500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>14.0</td>\n",
       "      <td>8</td>\n",
       "      <td>454.0</td>\n",
       "      <td>220.0</td>\n",
       "      <td>4354</td>\n",
       "      <td>9.0</td>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "      <td>chevrolet impala</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>14.0</td>\n",
       "      <td>8</td>\n",
       "      <td>440.0</td>\n",
       "      <td>215.0</td>\n",
       "      <td>4312</td>\n",
       "      <td>8.5</td>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "      <td>plymouth fury iii</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>14.0</td>\n",
       "      <td>8</td>\n",
       "      <td>455.0</td>\n",
       "      <td>225.0</td>\n",
       "      <td>4425</td>\n",
       "      <td>10.0</td>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "      <td>pontiac catalina</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>15.0</td>\n",
       "      <td>8</td>\n",
       "      <td>390.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>3850</td>\n",
       "      <td>8.5</td>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "      <td>amc ambassador dpl</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    mpg  cylinders  displacement  horsepower  weight  acceleration  year  \\\n",
       "0  18.0          8         307.0       130.0    3504          12.0    70   \n",
       "1  15.0          8         350.0       165.0    3693          11.5    70   \n",
       "2  18.0          8         318.0       150.0    3436          11.0    70   \n",
       "3  16.0          8         304.0       150.0    3433          12.0    70   \n",
       "4  17.0          8         302.0       140.0    3449          10.5    70   \n",
       "5  15.0          8         429.0       198.0    4341          10.0    70   \n",
       "6  14.0          8         454.0       220.0    4354           9.0    70   \n",
       "7  14.0          8         440.0       215.0    4312           8.5    70   \n",
       "8  14.0          8         455.0       225.0    4425          10.0    70   \n",
       "9  15.0          8         390.0       190.0    3850           8.5    70   \n",
       "\n",
       "   origin                       name  \n",
       "0       1  chevrolet chevelle malibu  \n",
       "1       1          buick skylark 320  \n",
       "2       1         plymouth satellite  \n",
       "3       1              amc rebel sst  \n",
       "4       1                ford torino  \n",
       "5       1           ford galaxie 500  \n",
       "6       1           chevrolet impala  \n",
       "7       1          plymouth fury iii  \n",
       "8       1           pontiac catalina  \n",
       "9       1         amc ambassador dpl  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### Loading data ###\n",
    "\n",
    "#Pandas dataframe\n",
    "fname = 'Auto.csv'\n",
    "df = pd.read_csv(fname)\n",
    "\n",
    "#Replace errors\n",
    "df['horsepower']=pd.to_numeric(df['horsepower'], errors='coerce') #set string '?' to nan\n",
    "\n",
    "#Print top 10 rows of dataframe (df)\n",
    "df.head(10)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RangeIndex(start=0, stop=397, step=1)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Index used for rows\n",
    "df.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "mpg                                    18\n",
       "cylinders                               8\n",
       "displacement                          307\n",
       "horsepower                            130\n",
       "weight                               3504\n",
       "acceleration                           12\n",
       "year                                   70\n",
       "origin                                  1\n",
       "name            chevrolet chevelle malibu\n",
       "Name: 0, dtype: object"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Select first row, using iloc function\n",
    "df.iloc[0]\n",
    "#or df.iloc[df.index[0]] in case of a different index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      130.0\n",
       "1      165.0\n",
       "2      150.0\n",
       "3      150.0\n",
       "4      140.0\n",
       "5      198.0\n",
       "6      220.0\n",
       "7      215.0\n",
       "8      225.0\n",
       "9      190.0\n",
       "10     170.0\n",
       "11     160.0\n",
       "12     150.0\n",
       "13     225.0\n",
       "14      95.0\n",
       "15      95.0\n",
       "16      97.0\n",
       "17      85.0\n",
       "18      88.0\n",
       "19      46.0\n",
       "20      87.0\n",
       "21      90.0\n",
       "22      95.0\n",
       "23     113.0\n",
       "24      90.0\n",
       "25     215.0\n",
       "26     200.0\n",
       "27     210.0\n",
       "28     193.0\n",
       "29      88.0\n",
       "       ...  \n",
       "367     88.0\n",
       "368     88.0\n",
       "369     88.0\n",
       "370     85.0\n",
       "371     84.0\n",
       "372     90.0\n",
       "373     92.0\n",
       "374     74.0\n",
       "375     68.0\n",
       "376     68.0\n",
       "377     63.0\n",
       "378     70.0\n",
       "379     88.0\n",
       "380     75.0\n",
       "381     70.0\n",
       "382     67.0\n",
       "383     67.0\n",
       "384     67.0\n",
       "385    110.0\n",
       "386     85.0\n",
       "387     92.0\n",
       "388    112.0\n",
       "389     96.0\n",
       "390     84.0\n",
       "391     90.0\n",
       "392     86.0\n",
       "393     52.0\n",
       "394     84.0\n",
       "395     79.0\n",
       "396     82.0\n",
       "Name: horsepower, Length: 397, dtype: float64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Select one column by name\n",
    "df['horsepower']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "130.0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Select one single cell by name\n",
    "df.iloc[0]['horsepower']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "130.0"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Select one single cell by index\n",
    "df.iloc[0][3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "mpg             float64\n",
       "cylinders         int64\n",
       "displacement    float64\n",
       "horsepower      float64\n",
       "weight            int64\n",
       "acceleration    float64\n",
       "year              int64\n",
       "origin            int64\n",
       "name             object\n",
       "dtype: object"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Excercise 9a\n",
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Range mpg : min= 9.0 max= 46.6\n",
      "Range cylinders : min= 3 max= 8\n",
      "Range displacement : min= 68.0 max= 455.0\n",
      "Range horsepower : min= 46.0 max= 230.0\n",
      "Range weight : min= 1613 max= 5140\n",
      "Range acceleration : min= 8.0 max= 24.8\n",
      "Range year : min= 70 max= 82\n",
      "Range origin : min= 1 max= 3\n"
     ]
    }
   ],
   "source": [
    "#Excercise 9b\n",
    "for col in df.select_dtypes(include=['int64','float64']):\n",
    "    print('Range',col,': min=',min(df[col]),'max=',max(df[col]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mpg : mean= 23.5 std= 7.8\n",
      "cylinders : mean= 5.5 std= 1.7\n",
      "displacement : mean= 193.5 std= 104.2\n",
      "horsepower : mean= 104.5 std= 38.4\n",
      "weight : mean= 2970.3 std= 846.8\n",
      "acceleration : mean= 15.6 std= 2.7\n",
      "year : mean= 76.0 std= 3.7\n",
      "origin : mean= 1.6 std= 0.8\n"
     ]
    }
   ],
   "source": [
    "#Excercise 9c\n",
    "for col in df.select_dtypes(include=['int64','float64']):\n",
    "    print(col,': mean=',round(np.mean(df[col]),1),'std=',round(np.std(df[col]),1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mpg : old mean= 23.5 new mean= 24.4\n",
      "cylinders : old mean= 5.5 new mean= 5.4\n",
      "displacement : old mean= 193.5 new mean= 187.7\n",
      "horsepower : old mean= 104.5 new mean= 101.2\n",
      "weight : old mean= 2970.3 new mean= 2936.8\n",
      "acceleration : old mean= 15.6 new mean= 15.7\n",
      "year : old mean= 76.0 new mean= 77.1\n",
      "origin : old mean= 1.6 new mean= 1.6\n"
     ]
    }
   ],
   "source": [
    "#Excercise 9d\n",
    "df_new = df.copy()\n",
    "df_new = df_new.drop(range(10,85))\n",
    "for col in df.select_dtypes(include=['int64','float64']):\n",
    "    print(col,': old mean=',round(np.mean(df[col]),1),'new mean=',round(np.mean(df_new[col]),1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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8WJH7aexeJA1mfh7A8/rvbwD4nM05ZwDc0oj2mMuXGmq1MbErMqMwATy4emHVZG5O76Djex7pWxleg4WWh4g0lISHrcz8tH74XSK6lJnf0dMq3tOPl1OYdMzpTWWY+SEADwHAkiVLXKOMvMoF+jW6E2M8oVUxxhWn0pqGGbXhCWWXolmY4PLx/zh1BvvfOonuRZ2epbsFQQiHIMe0nuuvrOjHVvymD3u9H3BeKEnCfaIZ98HQxAezgR4RXWsctjnVdhJHRHehZP6F2bNnh9JGIXqsHziErXuPli8KoxPcd/MCbLnlMzXV9haCw02ttv5fpIlsq5Okg68IKghl9Ai7RwC8zMz3m54yUpX6UJ3C9OdE9ASApQBOGekZfjCLpu1tGrQUVYil5tBwL3HC7rif8wUhSZgFcCteZtRWisx4bO9R/OzFLE6fq15cJGlRIQhRJcgxzeirm54ZqRIfa/FwsQqeTneXuIr/1g3esXPjyvP6oAgz8sEw0LsBwFQAF8JkoKdHP9juMAH+dpmEZDAwlMVje49WHTc6wZ7eFTIhaDJ+1GqnsqhOxwUhILoAfBPAISIa1o99DyXRYRsRfQvAUZyPHHoWwA0AXgMwBuDP/H6gdedgdKwALU1oz2g4lS9UiaV2OytukyS/5wtCq+BmRu2GnfBgENdFhSDEhaDHNEOgtIucrmXdYBY8u/p2JUb8t4tycCLM+2Bo4gMzrwOwDgD0yIe/ZObbiOhJlAzynkDl7pPQ4mzcMeL4nEwGooEftbrT4Vw/pdAEwS/M/BvYR9kBwOdtzmcA367nM+0iggpFxrQpkzC84bqq871Cyes9XxCSjHmBEQYpIgwMZaV/CUJIhDWmuUVJ1UqSxH+nyiB2hCmuhO35YMd3ATxBRJsBDOG8gZ7Q4uTyzjsYcVQYk4ifm3CSbtiC4EYt+avWSZJh+OQ1EWOU8tbX9A9jy87DIkIIiccsNkzPaDh9btxXqoVfisxY0z+MTc+MYMOXr5L+JQghEIZQEAZJEv9VBduw5+oNER9UDPSE1mTpvc/h3Q/PeZ4nC9Zo4OcmnKQbtiC4UW/+qpfhk/V5I3VJDPKEpGO99t02KYJmdKwg/UsQHPBKcbA+v3z+TOx+5URT5oP1pmN4CSVBpXuEjdNcpT2jYdqUSQ1rfzMiHwQBAHD1hn/FB2e9w3+mTU5HshO3Kn7U6rgo24JQD/VG+XgZubqFSopBnpBk/IQJExwczOtA+pcgVONXMM/m8hWebo0UzsOu5hCnqjlOc5WNNzY2wivVsE8SBBMDQ1kl4UFLE+79yoIGtEgQBKE2uhd14r6bF6CzPQNCydfkvpsXKA/mXmkbXqGS4okjJBXVa7uzPYM3QyrhLP1LECpxE8ydnrdiPj9MvNoa9fcPknrnKkEhkQ9Cw1k/cMi2qoUZAiIdupRk/IaPrR84hMf3HUORGWki3Lp0FjZ31ycYxSWETRAM6ony8UrbcHreep4gJA2vax+ojDKa0abVXAHDrQ2CIJynXsHc632CpBZPJjNe89F637/RRCEiWSIfhIay9N7nPIUHAHizb6WU1mwCRvhYVq9tbISPDQxlbc83hCQjB92oob5+4FDD2iAIcafn+iuR0dIVx8wLKrvn7c4ThKRhd+1rKcKMNs125+6sYoqGKtK/BKEaJ0HOLJjX8z5B4tVWN1Tmo/W8f6si4oPQMG57+AUlc8lLLpjcgNYIdvgNH3t83zFfx8NogyDEHa9QSPPzAJCmUiXRZoVMCkKjsOsbW275DIa+f53tJsVYYaLuz9S7F9JE5bFHxG9BOE89grnd+WEy5yJ7EcB83Kg2Nbd3EF19u8r9XWU+6vVdCNVI2oUQOkbIklfoJABcOCWNfX/9hQa0SrDDKUwsm8tjbu8gLmvPYM5FGex9Y7Qc7WBHkRlzegd9fXanHs4WZAhbrekbkvYhBI31mjL3IyNdaU/vCsfX25Xm3LLzMNb0D2PttoMoMpf7kFyrQpJodJgwc2nxEAcDOUFoBl7VzOyeb1a1i71vjLoedzOMVJmPSmU3/4j4IISKtVO78eDqhdJZm4xbfq0RcqYiItWCccNvd8jZ9RvCVqsDcZyci4V4YHdNmfuRka4EQMkvRUpvCoI97RktkHKcbtVnBEHwFgWj4C0AwHGjzDjuFt2gWkY7Kn9rXJC0CyFU1vQPKwkPty+bLR03AqiEyoVJvlAs7zqZqSWErdb0DUn7EIJGtVygarqSSulNQWhFNt54FbQUhfLeUTWQE+IJEc0iot1E9DIRjRDRd/TjHUT0HBG9qv+c0ey2xgVr+oSb/5iRvugW3SApFeEg4oMQGnMVw+4vuWBy3dURhGCw5tc2g1P5QiClgGpN34ibc7EQfVSvHbdUJj/vJ9eq0Kp0L+rElls+E8oYJgZyQsCMA1jLzJ8CsAzAt4no0wB6AfyKma8A8Cv9seCBnTmkm8H9rUtnAXA3jGxkaUon34kkImkXQigMDGWhMo3umteBrXdeE3p7BHXM4WNdfbtCS7Nwwrjh13tzVw2XC+p1guCESrlAA8Mr5ZILJuM/PyrYlrCV0puC4Mz+t07iP06dUZqDOGH2fDAey26nECTM/A6Ad/TfPySilwF0ArgJwLX6aY8CeB7Ad5vQxFihGmEIlKKtjfG05/orq9LDzf29ESkVrZbuK5EPQqAYyt2a/mHX8x5cvRBH+laK8BBxGp2GEeQEr9ZwOQmzE4Kmln707ofnHEvYSulNQbDHWv65VswLkTQRVi2WnG4hPIhoDoBFAPYBuEQXJgyB4uLmtSw+qEb8ESq9lRoZ3eBEq6X7ivggBMbAUBZrnzyotMMng3g8sLspd83rKOfKpYkCC20N+oZf64AShYFISBZe/UgVwxNCSm8Kgj31lHl2osiM7QeyiQ6DFpoHEX0MwHYAa5j5Ax+vu4uI9hPR/hMnToTXwJigGvFXb2RgGOkRrZbuK2kXQmD81VMHUZzw3m2Y1CwzAaEmVEPO5vYO2oa5EoA3+1YG3i4Vag2XE+diIWjcrinVsrTm3Vy5RoUgIaI0gP0Assz8JSKaC+AJAB0AXgTwTWY+R0RTAPwUwGIA7wNYzcxH9PdYB+BbAIoA/oKZdzb676g34sEJqXYhhAERaSgJD1uZ+Wn98LtEdCkzv0NElwJ4z+61zPwQgIcAYMmSJeFc+C4EXZJcpRy1mz+cXfqEFbvIQLuUh56nDmLjjhGcyhcqyoRmc3kQUJ7rBpUe0WrpviI+CHUzMJTFPf3DmFA4lwC8dl9zFqJCuLTazVMQmsGc3kGkicoTsiIzOqWuuFA/3wHwMoAL9cd/C+ABZn6CiP4RJVHhx/rPUWa+nIi+rp+3WjfK+zqAqwBcBuDfiOgPmVktCTsGJHUXUmgOREQAHgHwMjPfb3pqB4A7APTpP3/ehOa5ErRHQRDlqI3PNQsYhmjgJpDYpTwUilwu2Ws1rrSqPPlCERt3jJTftxZRxkk4GTs3joGhbOLGdhEfhLq47eEXsOf1k57nyeQ4+XiZ9giCYM8lF0zGux+eUz7f7AUBJN+cSggXIvo4gJUA7gVwj74oWgHgG/opjwLYiJL4cJP+OwA8BeBH+vk3AXiCmc8CeJOIXgPwOQAvNOjPCB0R0oWA6QLwTQCHiMgwSvseSqLDNiL6FoCjAG5pUvsccfMo8DMGGQt1VUPmx/cdc41+qCUiMAhRMZcvYE7vIGa0afjozDgKE/7GZuO5jTtGyqIHAIyOFXyN7UFHo4SFeD4INaMqPBCAPb0rItkBhOAQrwRBqI3//KjgfZIHSTanEkLnQQB/BZQDGC8CkGPmcf3x2yi58EP/eQwA9OdP6eeXj9u8pmH49VEx4/ZKLUUYOzfeEmXwhMbAzL9hZmLmq5l5of7vWWZ+n5k/z8xX6D+9J9oNJgiPAnNpTFXCSKsKUlQcHSuUhQcD1bG5e1Enpk2pjglQfb1dqdF1Tx+K5L1KIh+EmhgYyioJDwBw27LZIbdGiAqShy4Iaph3KNymU0f6Vjr6qViRsHDBL0T0JQDvMfMBIrrWOGxzKns85/Ya62feBeAuAJg9O9j5QT2LE+srjdzu9oyG0+fGMTp2PgxbIo2EVkYlzda6C2/2TTBSBmthbu+g566+WwTAwFAWm54ZKffnjJaCliYUiuHZZqiOzfWIOkFFozQCER+Emli7zb2UpkHXvA7XECkh+niFca0fOITH9x2zHUimpglnHG7oZgMhc+id2cxnRpuGDV++CgBiEUomCCpY81vdmNs7iJTiRM2Y+MUl9FKIBF0AbiSiGwBMRcnz4UEA7UQ0SY9u+DiA4/r5bwOYBeBtIpoEYDqAk6bjBubXVBCmUZ7boobgvGiyI0WEH37tM9iy83BFKDRQ+6Re+qaQBJbPn1nhg2A+Dth7OJjPr1ckdBMA3fwoAKDnqYMVQkO+MIEUSvPN3FgB7ZbUiSDwU4mjVu+0OFXMEPFB8IVqqgUAXHHxNGy985qQWySEiZepkFFT3Qkn4QE4byD05omP8OLRU+XPML9idKyAtU8eRArwnUMnCFHFbofCCYbaRM3wVwnaCExINsy8DsA6ANAjH/6SmW8joicBfBWlihdm0zvDDO8F/fldzMxEtAPAvxDR/SgZTl4B4LeN/FsA977yZt9KDAxlcXf/sFIkUZEZa/qdN1r8TuqlbwpJYfcr9qU9jeN+xrhacRIA3SIAANhGOEwAaJs8CUPfvw6Ac9SGV6SiHX68z5y805bPn4muvl2uomWcTN9FfBCU+cL9z+PV904rnXvFxdPw3D3XhtsgIXS8wriCqKnuJWYVJxjWISyqoWSCoELQOxFmQ9+uvl2xCb0UIs13ATxBRJsBDKHkyg/95z/rhpInUapwAWYeIaJtAH4PYBzAt5tR6aI9o1VFKRjHgdKYFtR+pt9JfZzCogXBDa9d9qDGOKNUu1Pqod3n1BoBkM3lK1I69vSusD1PtTQ2oGa2bxU6Vi3urKjQsXz+TGw/kK0SLfe/ddL1PCC6pu8iPghKDAxllYWHrnkdEvGQELxu4mHVVFchiqFkgqCCn9BvN4yJmZk4hV4K0YKZnwfwvP77GyhVq7CecwYO7vvMfC9KFTOahpPfpHE8iH4H1Dapl74pNJqw0nycxrAUka9UQZXPcfs8BtDVt6vi7/KKAHC7B3ildADuqV1mOtszjgKGgV001PYD2QqzdqcNha17j5YFGeN1VuEiqmldUu1C8GT9wCHX0EMzIjzEn4GhLLr6dpUHEDuMm3g9zuL1EsVQMkFQoef6K6Gl6+87dn3AqV9IfxFaAcNEzul4EGMWAVi12L+5svRNoZGEWf2g5/orkdHSVceLzMqpgl6YBT6nzwOq/y67c433UhUM3SpM3Lp0lu1xp7a74ZUiAjiLk9ZvOF8oYvcrJ7CndwXe7FsZ6SqDIj4Irly+btA1p9+MeDzEE7PYsOgHv0TPkwfLg5XdAGK+qS775IzQ22c3VYxqKJkgKFPn3MypD7hNvAQh6TiJC8bxIBZFDOecdzekbwqNRGVhWyvW0upu/c4ovX67YuU7u1Lt5s+zw/x3uZV997MYd1r0b+5e4Pq3pImUy8yrREP5ESfjEkUlaReCI/P/+lmMK47TEvFQH0Q0FcCvAUxBqV8+xcwbiGguSoZfHQBeBPBNZj5HRFMA/BTAYgDvA1jNzEf8fq415Mtp1yhNhAnmqjCuI++Hf6OzuwQJjLv7h7Fl5+HIhpUJghNbdh6uyUnbqR+aMY6Jo77QijiJC8ZxJ08Iv9QyyZe+KTSSsNN8zIv5uQ4+CBPMFamBRqlNNxjA8VN5rLHM8Yx/Kv4PVqHB2GQ77qPMp9uif3P3AseN2SKzcp/2Sl9x8nIwV4VTbXOUEPFBsOW2h19wrVRg5sHVC2XwrJ+zAFYw80dEpAH4DRH9bwD3AHiAmZ8gon8E8C0AP9Z/jjLz5UT0dQB/C2C13w9VdSS2DiAGQeXP+mWsMFH+fHELF+JGrZM/p35oxe8OjyAkBS/DyUJxIpjPadM83eftqLVvSolOwS+NrH6g+ll21RzsMLQBuzme37/Lusnmp3qUG04ihp/ULqfvw3hfJy+HOJlL2iHig1DF+oFDyuU0b182WwbAAGBmBvCR/lDT/zGAFQBc4fEjAAAgAElEQVS+oR9/FMBGlMSHm/TfAeApAD8iItLfRxnVRVCU1VRxCxfiRq2Gk26TK1mYCIK34eTpc8EU4PjozHg5UjBsEVxKdAq14FS2MYwFas/1V2LtkwdRNEX0pVNU9VnG9brpmRHHSFsr5pSKLTsPI5vLV+38u/1dXptsKQKu+WQHjryf9zWGekVZGawfOITH9x1DkRlpIiz75IyKzzILC3ZGnWYvBzNLPtHR0HE/yHmGiA9CBZevG/SVarG5e0G4DWohiCgN4ACAywH8TwCvA8gx87h+ytsAjJ7eCeAYADDzOBGdAnARgP/085kqi6A4qKlxyXMTBEB998eMUz+UhYkgnCfnYjjpFBruFwKq0qbCFMGlRKdQC41M89n/1skK4QEolUnf/9ZJ2zYMff+68mJWRYg3xjWjHzDOpx54lbP0ev8JBl48ekrZp8Gg02X+bFTg2P/WyYr0jCJzxeautbqF0z3Kbo7byAjHoOcZIj4IZZzyqOwQj4fg0WuiLySidgA/A/Apu9P0n3b7O1X/fUR0F4C7AGD27GqDHLtFkJYmTJs8CafyhUjsojrltpmJcmSGIFixTgpV7rtWQy0DWZgIrYbbDpyboB5UYWin98nm8hgYygbe76REp1ArjVqgPr7vmO3xrXuPVqQHmBetfkgTVY1zhvDgVc5SxeOhljHTbRPB+DvPjHtvMJg/u5GpMn4Iep4h4oMAoOTxoDow375stkQ8hAgz54joeQDLALQT0SQ9+uHjAI7rp70NYBaAt4loEoDpAKpyZZj5IQAPAcCSJUuq/ovrVca75nUop+jUgpYirP7crHJIWnubho/OjFfsOsUhMkNoHET0EwBfAvAeM/+RfmwjgDsBGBb132PmZ/Xn1qHkoVIE8BfMvLMR7TRPCuco7sja7TbIwkRoJbx24GqJKgqSMKKOorogEQQDp8U9A7aL1o07RnB2fEKpn2a0tON5Rr+wpjbcunRWeZ2iWuHGz5hpCKD5QtFR3PBzDzI+u5GpMn4Iep4Rmvjg170/rHYI3vj1eBDhIXiIaCaAgi48ZAD8V5RMJHcD+CpKfeYOAD/XX7JDf/yC/vwuv34PBvUo41vvvAa3PfyC7fVjl9u2fP7MKtMc4/H0jIZCcaKck9ue0bDxxquq2ib57YIH/wTgRyhVgzHzADP/nfkAEX0awNcBXAXgMgD/RkR/qEchBYrbdesWvmklXyhiTf8w/nLbsGuKXNvkNLr6diFrcvf2Ck8VhKjjtQNXS1RRkIQRdRTVBYkgGKhWkDBQrThjlK10Ss8goGoOWmTGY3uPOlajcEJVzKvFwFL1s6NaESdoATTMyAe/7v1CE/Dj8SDCQ6hcCuBR3fchBWAbM/+CiH4P4Aki2gxgCMAj+vmPAPhnInoNpYiHrzej0QAann4jTv6CG8z8ayKao3j6TQCeYOazAN7U+9PnUBL1AsNrt3a86F/r8Lpvnz5XxOlzpcmC2Tlb/CCEOKOyA2ceIxb94JfKxnZBEXQVqKguSATB4Nals2wX+9Mmp+syeZ0wla28u3+4SkxkIJDoWz9inmqVuFo/O4pz3KAF0NDEhxrc+4UG40d4kHKa4cLMLwFYZHP8DZQWQ9bjZwDc0oCmCUJS+HMi+hMA+wGsZeZRlIxb95rOMZu6BobXbu27HzYu+E/8IIQ443cHLoBNSd8QELj3QxQXJIJgYGxMWlMflnyiw3bROlVLKYmCKaJyX1rTPxxK29NEWLVYvX/Vk9LoFBG8Zedh3N0/XCUs+o30DSsyOGgBNFTPB5/u/UIDWT9wSEl4IECprrwgCEKE+TGAv0FJAP8bAD8E8N+gaNwKeJu3uhE1XwbxgxDiit8duFOK4d1m/IaQW2GgLoFPUguFOLK5e4FjdLT1egaAnicPVlWNsVJkLkfrtWc05XQNPxSZsf1AFks+0aHUz2otlQ0Ar993Q8Vjt6hIAL4qTIRd+SpIAVRJfCCim20OnwJwiJnfc3qdT/d+62fWPNET3Fk/cEgpF0oqWtRGrf1FEIRKgupLzPyu6T0fBvAL/aFh3GpgNnW1voereasbUTOMM+8mCcmhFcYevztwfhcKGS2NVYs7Kxz6a6FWgU9K58aTVuh7VqwimdXTy+iXTovWv/7ZIRQUUjLyhSLWbjuIqVqq7jYTSuOfVVw0PsMu+sDMwFAWp8+OVx2vFbeoSON363Mbd4zYti1Ola9UIx++BeAalMzvAOBalEJV/5CIfsDM/+z2YkX3futrap7oCc4MDGWVhAfxd6iLuvqLIAhlAulLRHQpM7+jP/wKgH/Xf98B4F+I6H6UDCevAPDbgNpexmu39sIpaXxwtnHu/ObdpKhNSoS6aImxx88OnJ/qF4YhaxA53bUKi3FaQAgVtETfM7ATycxrC5Vdej9eEEXmurwjAOCKi6fhuXuuxVyH6lJe3kjWv7kWuvp2VQgbtURF5vIFLNz0S5zKFyqEkqhFWLqhKiNNAPgUM69i5lUAPo2SoeRSAN+1ewERzdQjHmBy738Z5937gUr3fiFkBoayyjlTIjzUhe/+IgiCLbWMPY+jZBh5JRG9TUTfAvA/iOgQEb0EYDmAuwGAmUcAbAPwewD/CuDbYVS66F7UiftuXoDO9gwIpUXOfTcvKE9ATp+bqPszCPY5JE6Yd1eExCBjjwVr30uTfS/pbM9gT+8KAPUbRtZjxBanBYRQQUv1PRWBzm2MacbY89p7pwGoCYN2bQ9ClDSEjYGhrGtbLmvPuLYzly+ALe/n9l5RQzXyYY45bBXAewD+kJlPEpFTAo5f934hRAaGsli77aDSubcvkzSXOqmlvwgOSP5rS+O7LzHzrTaHHccZZr4XwL31NdMbt91at/xygkNuooUHVi/E3T4NuWRBkzhk7LHB3PcGhrK2uebZXB5z1w36EvCcODNexP63TnqOU3ZjW9RStARlWqrvqY4d2VzeNsWvGWOP0eNVo6GsbQyqzeZIJq+oSJUNY+P94lSSV1V8+H+J6BcAntQffxXAr4loGoCc3Qv8uvcL4THHIcTICgG4TdItgsB3fxHskfzXlqcl+lK9BncAsP+tk7a5rG4QAXN7B0XUSw4t0V/qxSnOiFlN6POCGeUQ9M3dC2xFBsDeTM7ObyKqCwihgpbqe368VHqePIhNz4wEUvJWVYx3whjvPjt7Ova+Meo6XqaIMKd3MJDx2YohZHh52Kh+b8dz+ViV5FUVH74N4GYA/wWl//tHAWzXy2kuD6ltQgCoCg+AVLUIEOkvAeGU/7qmf7is9EbxxtpoEhwd0hJ9adknZzjWKled8qh4+VgxNn9F1EsMLdFf6mHTMyMoejjsB8Xj+45VlRo0+tqUSSnbsW33Kydw380Lkno/TzIt1ff8eKkUJjgQ4QGoXxw0UhVUhBNDcAhaeAAqI5msosGWnYex/62T2P3KCYyOFZQEF+P94lKSV0l8YGYmoj0AxlESjX+ndyghwqwfOOR9ks6kIGINBQDSX/zgtWh2C3PL5vLoebKUSqRys03qAj3J0SGt0peOvN/89AcxtYs/rdJf6iGoRZAKRWZsembEVmRwWrQZO5jSD+NFq/U9u1325fNn1iSCO1WgSCoEVEQyeZl3Ms5HfEybnLY13lw+f2a4jQ4Y1VKb/yeA7wPYhdJ38H/r7q0/CbNxQu2oltMESsLDa/dJ1ENQSH85j1sppukZDafPjaNQPO8wvKZ/uJzjliZCm8ON1qAwwY5lh6ztSOoCPcnu6K3Sl/zkkma0dN2mV0G0Q4gerdJf4oRfsUO8HeJJK/Y9O5Fs9ysnfBu21uJXFAe0NAGMKn8ZxnnDze5FnUpGlsY7nCnYJ43tfuVEvc1tKKppFz0AFjHz+wBARBcB+P8AJLZTxRnVVIsHVy+M/eIkokh/gbeam8u7T8qM0krpFLmGyXq9D5DsBXrC3dFboi+p5s+miXDfzQuwdtvB0ENBhVjSEv2lHjJaCnmHCXwjmdGm4UxhQrwdkoP0PfhLxzBY9/QhTM9oSnO5KJPRUuiYNqXK22XLzsPI5vIV6RPZXB53mzbbVHEa9+M231MVH94G8KHp8YcAjgXfHKFe/Hg8xH3RFWGkvyCYskQAfOXnOqVWJHmBnnB39JboS6oTtiJz+b5dS73xFJzN9mThkwhaor/Uw1QtHQnxYcOXrwIQD3M4QYnE9T23yFWn69WajgF4+xW4pSHFialaulyu18AoqQlUfw9Bbh/Ebb6nKj5kAewjop/rj28E8FsiugcAmPn+MBon+OML9z+vfO4RMZcME+kvqL9Wuioz2jQA7qkVSV6gx6m8Ug20RF+yTtic8l87TaZS+9866Tu/dnqbhrbJk8ppT0RAbqwQ24VPUn1c6qAl+ks95Bro+UBUqnxhpT2jla/TMK9X6R8NJVF9zyty1Sl11U6w6P/tsarUg2ZgRB7UWzHDCWuKlfU7DIs4zvdUxYfX9X/G/9fP9d8vCKNRgn++cP/zePW9057n3S6lNBuB9JcGoaWpYgfJKbUiyQv0OJVXqoGW6Uv73zqJ/zh1BgxgAowUna9GAQBaijB2brxcKmzs3Ljvz8iNFTD0/euCa3QTSbKPSx20TH+pFT8lAushRcDUSSmMWaIstDRh441XBfY5TgKD9I+Gk6i+pxK5ak1dtbvmth/IYvXnZtVkRBk0jNK8b9XizrI3hVFGc0abhtxYwVOU8BIuzKWra4n+JaAiysTpXpUmwgRzbOd7quLDswC+B2CO6TXMzFeH0SjBH6qpFiI8NAzpLyFj3KDNN1231IqEL9CT7I7eEn3JahDMXJrgtOn56YY5q7GzUuviqV2PEkoCSfZxqYOW6C/1UEtOei1MMKqEBwCBbrm6CQzSPxpOovqeakqq+Tynay5KZohGe5bPn4mte4+WIwxVjWHf7FvpuuYySnnWco/pbM/Ypm3YbZzdd/OCWPdjVfHhMQB/CeDf4ZwyKjQBPx4PIjw0DOkvIZImwuv33VB13Cu1IsEL9CTTEn1p6z77XaH8+ATe7FuJrr5dgZhxJamSWZJ9XOqgJfpLPZiFaLddxbDK/hUmuC4BwBzpYJeeZQgM0j8aTqL6nmqEkDl11en8RqXgqmJNIfFDV98utCuYY+YLRV/3EadI3KRunKmKDyeY+ZlQWyL4wk8pTUA8HhqM9BcAXfM6sOf1k4G/761LZ9keT3JqRQvTEn3JaX5iHA9qwXAq5m7iZpLs41IHLdFfvPDjdWANozbCsrcfyEaupK11F9TN+d6pfzBKC6gkLGAiRqL6nmqE0PL5MwGUrs2wvBSiRDaXh5YmaCny9LEoMiuVxu70uEclceNMVXzYQET/C8CvAJw1DjLz06G0SnDFj/BwxcXT8Nw914bbIMGK9BcAW++8Brc9/EKFAHHhlDQ+OHv+RnzFxdMwdm6iIvfOiTQRbl06yzGCJ6kKcYsjfQnOC+32jIZpUyYp7yyliCpyUlX7RhSN60RstKXl+4uX14H1ebMBXaeea/34vmOhRT4AtQtkqjnkRh91WjyK/0MoJKrvqZogGykVW3YeTrzwYFAoljwiDPNmp7/bKI3tFmV1+7LZWPKJDmzZeRh39w9HZnwNG1Xx4c8AzAeg4Xw4EQOIZaeKOyI8RB7pLzpb77zG1/luYkWRGY/tPYqte4+Wb/Yz2jRs+PJVVTdqBvAfp85gTf9w2XAy6TfzhNISfalNqzamM44DzgvtjTeWrn1VQdqYPPpZfETVuE7ERltaor+44eV1YPe8ITwY/SxM4aEegUwlYsJ4f6/0EvF/CJzE9T3zjvtchxRv45oMK50nqtEUoybzZqf0d5XS2L84+A76f3cMhaL/sTnOqIoPn2FmMQyIAH48HkR4aBrSXxSpzF8FipZRxhwlYWA+ZXSsgDX9w1jTP1w1SNWy0BIiR0v0pf9+89W4Z9twRXWLFJWOA94LbS9DL7uSf6qLjygb1yUxHLVOWqK/uOG0CMrm8pjbO+i4kDmey9fkTq+CEdWXJir3HcD/eOQUAeXkfG/0D6e/W/wfAqWmvkdEPwHwJQDvMfMf6cc2ArgTgHFj/x4zPxtEI/1EsXn5iwDno3jCqCIzZVIKZ8ebZ5+RJgJgn95kPGf87naO233FzjsiXyhi7baD5UgIo/JFkkR2VfFhLxF9mpl/H2prBFfWDxxSPlc8HpqK9BcFqvNX63s/t5dHZbEk+KYl+pLKLr7bQtttEfHg6oW4u3/Y9jljQeY2oRHjuljREv3FDbdFkNsYcVl7JvBruj2jYXjDdYFFDzlFQHk534s/SkOote/9E4AfAfip5fgDzPx3gbRMx891qOIvYi7/3N6mKfkgqJJOUVOFBwBY9skZjr5lxvcxMJR1jJQyjtdyXzFvnpmjGpOymaYqPvwXAHcQ0Zso5TIRYlxCJo584f7n8ep7pz3P65rX4TvUXQgc6S8OqCjpYSGLpVjSMn1JdRffunO1fP5Mx76UJsLd/cOufc1cGsxohxmnhcv0jIauvl2J2o1JAC3TX5yopZSmkarglptt5YhHyT2gtKu5fuAQdr9yIpDooVpTjcQfpSHU1PeY+ddENCf85vmLYnParTeibKzln0fHCtDShPaMhlP5AqbqZaJrIU2EiYBEjHo48n4enQ7j34w2rSzQuNHVtwvTFapj+CEJm2mq4sMXQ22F4MjAUBZrHHatrNy+bLaU04wG0l9sUHXqDgvZ5Ykl0pdM2O1cuXk9GH1Mpa85TWjsFi5ainD63Hh5QpWU3ZgE4Lu/ENFUAL8GMAWlOeFTzLyBiOYCeAJAB4AXAXyTmc8R0RSUdmkXA3gfwGpmPqK/1zoA3wJQBPAXzLyz/j/JH9YFutuVT0DVAl5FuJjRpgGA48LEjNmjyMrxXB4DQ1ls3DFS7ktOPkYGtaQaNcsfJYpGtSES9Fj150T0JwD2A1jLzKPWE4joLgB3AcDs2bM939BPFJvTuRPMjuWfC0XGtCmTMLzhOnT17ao5DWOCORSfB6dIJCeO5/J4YPVC9Dx1sOzJYPDRmXFsembE8z2M6hhBo7KZFuX+pyQ+MPNbYTdEqMZvOU0RHqKB9Bd7wsqnVYEA2eWJIdKXKqm3Dxm7Vm6LISt2C5cx046XQRJ2Y+JOjf3lLIAVzPwREWkAfkNE/xvAPSiFfj9BRP+IkqjwY/3nKDNfTkRfB/C3AFYT0acBfB3AVQAuA/BvRPSHzNzwm755ge60COpsz2BP74qq1wHnr/W2yWmcPlfd/JVXXwqgVGbQa47GcM4Jb2/T0PPkwYpQ9dGxAnqeOljRniBotD9KVI1qwyLgserHAP4GpcvnbwD8EMB/s/nMhwA8BABLlizxXK/7Sb9xK9XqFvGTzeV9edP5aWe95PIFzOkdRJoI0yan4PUJKT1y0I7CBFeNgU5YhYsgaNcFUCei3v9SzW6AYM/AUNaX8CAeD0LUaWbaw23LZkfihisI9VBvHzJ2rTodooCcooO6F3ViT+8KvNm3Ent6VyDnMOnK5vLo6tuFub2D6OrbhYGhbF3tFcKHS3ykP9T0fwxgBYCn9OOPAujWf79Jfwz9+c8TEenHn2Dms8z8JoDXAHyuAX+CKz3XX4mMlq445pZyYL7WtbT9FPkXB9/BwFAW2w+oXd9F5qo2AEBurGCbI18octmUMq64hfgL7jDzu8xcZOYJAA8joH7kpy8snz8ziI/0jZam0DeKisy2ZuZ25zGiWW3DK5gx6v1PNe1CaDDfe/olpfMk1UKIC25O3WGmYLRnNOkjQiJQ3RFy6lOGuOCUA758/kws+sEvyzs67RmtXM5TtR3GcWOnZf9bJ12duqMcGtoqEFEawAEAlwP4nwBeB5Bj5nH9lLcBGP8pnQCOAQAzjxPRKQAX6cf3mt7W/JqmUU/KgVOedi5fUE6HNcgXikgRKirauI16hpBnbmsU+4pTm8SotnaI6FJmfkd/+BUA/x7E+/rpC14VlMLAnHLkx38lSjSqNOgpDw+JqPc/ER8iiGrI0hUXT5NFlRAb3Jy6AVSVGvRL17wOvHj0VNX7b7zxqtrfVBAihIqZXkZLY9XiTmw/kHU0mLObhC6fP7Oi3jhQWmT1PFkdAq5q6pcvFCty3q2hn1EPDW0V9NSIhUTUDuBnAD5ld5r+0y6BmV2OV+E3V71eolKS1e/4Zu4PAELtK7UIG279VypsqEFEjwO4FsAfENHbADYAuJaIFqLUf44A+L+C+jzVvhDkItVrQW4XuV2LcWyz6dTHUevY64RdCWxVvPpR1PufpF1EiIGhrK9cqefuuTa8xghCwHQv6sR9Ny9AZ3sGhNKN2igR1r2oE/d/bSGmTHK/JV1x8bSqkPE0EW5fNhtb77zG8f0FIQnY9aHbl82uuuY3dy/AqsWd5TrjaSJ8dvZ0bNl5uJwSAaAilWL3Kydsc1MLE4yNO0Yc2+GF9R3NoZ9RDw1tNZg5B+B5AMsAtBORsUH1cQDH9d/fBjALAPTnpwM4aT5u8xrr5zzEzEuYecnMmc0J744L+UIRm54ZCbWvGCJCVjfoNEQEr7Qptzb5TXdpVZj5Vma+lJk1Zv44Mz/CzN9k5gXMfDUz32iKgmgYQS1S00R4s4a0cOtYVwv1vLaWz9rTu6I89rp9LkEXXGoUHlT6UdT7n0Q+RAS/5pLi8SDEETfVPYjdqajscAlCWKhc40Y+urnahbleud2uqdtOVy5fwMBQtuJzjXbM7R30PYcyPivqoaGtABHNBFBg5hwRZQD8V5RMJHcD+CpKFS/uAPBz/SU79Mcv6M/vYmYmoh0A/oWI7kfJcPIKAL9t6B+TUEbHCo7mdkH0FT8lGFU++3gu37QKG4I75giX6RkNRCXvEev/T8/1V9YdjQoAty4t6ZFd8zoqxiCDrnkdtm0zovEMtBTgt3Ln2LnxhqRApKj0WXN7B8uGzG6fawg7XmmU5rKmTv9PTkS9/4n4EAH8RDuIx0MyIaJZKJUv+z8ATAB4iJn/nog6APQDmINS+N3XmHlUN/j6ewA3ABgD8KfM/GIz2i4IQvjYTczMXgpzLspg7xujyv4p+UIRa/qHsaZ/WClPde22g2X/hmwuX/aVqMWzxWvyFZXQ0BbhUgCP6r4PKQDbmPkXRPR7AE8Q0WYAQwAe0c9/BMA/E9FrKEU8fB0AmHmEiLYB+D2AcQDfbkaliyCxejREkSD6Sq0ioFf/lc2AaGFNkzF7mlgF6f1vnaz72k8BWPKJkriw9c5rcNvDL1QIEF3zOrD1zmts22YtI+1XeACgXI2iXib4/Gd5+VSYow/cUkuMlOR6+o/f/tdITxkRH5qMCA+CzjhKtZxfJKILABwgoucA/CmAXzFzHxH1AugF8F0Af4zSztIVAJaiVJppaVNaHiBuNz/jObebu3kw8/v+ghBVvCZm2Vy+LnMulTlmkbniM81RFX7wmnxFKTS0FWDmlwAssjn+Bmxc9pn5DIBbHN7rXgD3Bt3GZvGNpbN9RaQ2mqD6Sq0ioPTfeOFVqtkc7fL4vmN1f96E/pnGZx/P5dHpMO9SLSNtpPoFYUYZttm53eeZBQVzdIJZ0Hf6jsKk0f5LIj40kdsefsHX+SI8JBc9p+8d/fcPiehllJzCb0LJjAgolTd7HiXx4SYAP2VmBrCXiNotDsmxw+3mB0DJfGjP6ydxxfcGMT6Bqt3h6RkNp8+Nl/PaxdxOiAuqE7OoY51URT00VGhtNncvwJsnPrINF48Cho/L3f3DdfWdWkUE6b/xQiVFxzgnqEV5NpevqAzjNO9STR8KMiWvyAwtTbZeR0HjFMkQleigWlOvakXEhyZhDT9yg4CaDFuEeEJEc1DaidoH4BJDUGDmd4joYv20crkzHaOsWWzFBy9DLdXFlxGeZ90dtiubFubNVRCCIu4eCG4hpFGZfAmClYGhLH57ZLThn6tars/Lx0WVekQE6b/xQaVUc4oIc31EZNeCkfL35P6jOPJ+HsdzeaQUoxBSRLhg6iTHMri+YfWqE+0ZDWfHJyrmol59lYBYiHKN9l8S8aEJXL5uEOMKF3o6RfjhLZ+J9AUrBAsRfQzAdgBrmPkDIkfPXKWyZo0uaVYPzTKfi/vCTkg+KpPGqGH2hLC68stOqRAHNj0zEtquaHtGc1xATdVSSBHh9Dl/0U71iOkiIiQflfKVjUxDMItnqp9bZMbpc+PQUoRCAIYshQnGjDYNZwoTrt+LuWy71XvJXE7ajFEBIw402n9JxIcG48cZXISH1oKINJSEh63M/LR++F0jnYKILgXwnn5cqawZMz8E4CEAWLJkSaSts7xufmEtvsTcTog6cat5ntHSWLW4s6LeeTaXR89TBwFGedIoqU9ClHEzrCNAebfWDred23wt7no6hphu528EiPDXylg9BuJKoVgSDNomT/IVNeFEbqyAB1YvdDV0tksXNGMVIIy0JbNXWTM9HbxotH+LiA8N5Av3P68sPEgpzdZCr17xCICXmfl+01NGWbM+VJc7+3MiegIlo8lTcfZ7ALxvfnf3DwdeNknMsYQ4YA2LjpKK2OkwUbNLo7LbRZbUJyGOvNm3ssqnCCiJEpMnpXB2vHYBoR4ua8/Y+if1PHkQIIjnUYtTT4nkKJEbK2Do+9cBQN1pIpe1Z+qK/NncvQBLPtFhK/aZ+6EhkESx7zXavyU08cFv6cCw2hEVVFMtCMADqxeG3h4hcnQB+CaAQ0RkuPN8DyXRYRsRfQvAUZx3GX8WpTKbr6FUavPPGtvc4PG6+e1/66RjeJsqWorwsamTKuolA0BX3y7ZDUoIRPQTAF8C8B4z/5F+LPYla82TI7cqSUf6VvqqolQPBDiGld5tMhnzQlKfhCjilBrRntEAOI9ZG3eMNE18OH12HJueGakW/mxC1POFItZuO1i3YaUQP+KYymfGHLGq+rfYeTYEtQFlJ1509e1yjFY0i+5RqcLWyNSrMCMf/JYOTCx+JoIPrF4oN/8WhJl/A3sfBwD4vM35DGDyT0MAACAASURBVODboTaqCbjd/JzUZfP51pu4W+jcwFAWm54ZqQitjaIiLfjmnwD8CCXx26AXMS9Za7623QjbLMxMiggDQ1nbvuJncltP6lNUJm5C8th441XoefJgxcI9hZJB3dzewfL1ZhbgBoaywZnh1YDfz47ybqwQHnFJ5eua14EXj55yFQxU/hazZ8PGHSPlfjJVSym1o5ZxxmusPp7LN7zEZVQITXyooXRgIvEjPDwowoMguOKlzKoqt3bhsgYSBh5vmPnXesUYM7EuWet2vVoJK5Q2nSIULbunRWbHiZLdhFBLU4XnA1DfzlOrTtyExmCNbDDKNRuCtfV6M67HuCKREK2DXdSOebMmCikZXfM6sPXOa7B+4BAe33esbGC8anHlPM/rbzFfywND2YqopNGxgueYUes44yXAX9aeaXiJy6jQEM8HxdKBiWP9gPogJMKDIDQOuxu+GQkDTxyxLlnrdb02AqvwYJAvFPHd7S/Z1i8Hzk8I29s0MJd2ZoMy3mrViZvQOMyCdlffrqrIAvP15tZPtTRhvMhNW9RpKarwfHBCIiFaB7fNmkal7rnx4tFTWD9wCNsPZMvXZZEZ2w9kseQTHVUChMp1WsuYUes44xaRYYjuTumJSZ+Dhi4++CgdaH1dbEoE2nH1hn/FB2fVJou3L5stN3dBCBFryJxXOLhh2uUUZieh3olBqWQt0NwxKeoTkbPjE7jt4Rdwy5LZVf1iT++Kqp2jInN58uW335j7ntMyKurflxBPnK6rbC7vbeDH4UUlOUGljy2LfPvfOonH9h5Vfr0Iea2FOcIgCuQLRdv2WP0SzOmz7RkNG2+8qmquZq42YYfbmFFrGXhrdRE70d2p8kjSq7CFKj74LB1YQZxKBFrxoxjevmw2NncvCLE1ghAfwljU24XMGZMyOzJaGsvnz3QMswMgod7xo66StUBzx6Q4mIPtef1kRd12c79w2jna9MyIrz6jmn6S9Imb0Bzc+qHXDcHO8DFsDOHBEAC3H8j6fo+snpcuY1uyWT9wyJcwpUJGS+Ozs6dXjAt+cRMLBoay6HnqYEU0Ty5fKFV20bGrNmGH25jhVQbeDa+IjEaXuIwKak4bNaBQOhCoLB2YCPwID0f6VorwILQkA0NZdPXtwtzeQXT17cLAULa8sMjqO5rG4mVgyP+EyYzdwodhv+VNAFYt7sTuV044htm5heCpYvf3C6HiNO7sAPAnVGIZIlqytuf6K5HR0s1uhm+MHHKnBdvoWMHXta+SftIKEzehOcSxHxq7s159xy0oOYhxWIg2j+875n2SIoSS6HXfzQtw5H37e39av+CsP53Os2L4JdilERUm2HGuZofXmGHX74OsknHfzQvQ2Z6p+N6SLvaFGfngt3Rg7PnC/c8rn/uglNMUWhQn854pk1Kh5G87hcYxgBltWkW1Cwaw/UDWccCqJTTPipjkhQsRPY6SueQfENHbADYg5iVr7Qy15lyUwd43RssmXMs+OaP8OEp4tWftttIulcq179bHCKgpWkpSqARVrP0wWj3Nnul6WVC3vmOEqnuZMAPOpbCFeONn3MhoaddFvblqn5OnwQQzjvStLD+2i2rLaGmsWtxZNSfz8ksA1OdjXr5DxviQLxQD8yqy0sgSl1EhzGoXvkoHxh1Vj4dpk9O49yvJV7UEwYmNO6prkOcLxZoW/Co4hcx16iFzZvHBaItTbqARZldPjp6Y5IULM9/q8FSsS9aqTFAaWWYzKNwqZlhx68vmcoeqiBAo+MVqQBn1dChj49gtZeRUvlD+m9Y4LOiMviF9JZm4+SGYMRbeTtcJAPQ8dRAbd4zgVL6AlMdcysBOYDcW+E4l1p38Eszv79Y/vcaNIL2KhEpCS7toJeb0DioJDxdOSWPkB1+Ui1ZoWWqpgV5v/rZbyJyTsGEMMnavqTcEr1bzIkHwIq5eB/lCERt3jABwT0ly63u1pDIFkUIltC5xSMPI6eJ6z/VXOu4GGveN7kWdZVHeSppI+kqCuXXpLO+TUJqnuAkPQKmiSi5fAMM5ouL02fGqe3T3ok7s6V2BN/tWYk/vivJayel4z/VXlso3W9BS5DhXM1CZs8n4EB4NKbWZZPx4PLy06YshtkQQoo/fm7aWIoydG8fc3kHX2s1OeIXMuSnnn509HUfez1fUjTaXDZwyKYVT+YLv8NN6zIsEwQ230l5RJ5cvlMuqOe2uOu2OAdUmsGv6h7HpmRGsvPrSinuGSi17EQIFFeKQhmEWFva/dRJb9x6taKd1EeZkgKcSmSgpTPHF8J/zqnZR6zWeIsDsuZrLF+qOnDFe51btAnCvNuGGbBSFh4gPdXD5On/mkoLQ6qjetAmlXNXT58bLg0o2l69wY87m8hXhfXblML1C5twWa3teP1muRmN9r9GxAjJauiK3UZVWdTcWwsecZxvFhZAXXmXVAPv0k66+XbZ9eHSsUHXPUHF0FyFQaCYpApjhGLKuinVc2dy9wDGE3cCuPKBKKqKkMMWfzd0LyiKEn41VFeyKvQSRbuqVjliPn4JsFIWHiA81Mv+vn8W4wphwxcXT8Nw914beHkGIAyolA408vK6+XZ4pGkZ4H1A92XEKmVvTP4x7tg2XB8OM5px99tjeo46LFcPJ3/g8Vay7Ze1tGphLC8YtOw/LbpFQF92LOj3DYqNKLTXYVZ73gwiBgiqqpV/9YnSDWoSHNBEmmMumtGu3HcSa/mGkiXDr0lnY3O3tOWY871Wm0ByZaCeUiJdRa+BlQOlGlKMI/GwUSdSPP0R8qIHL1w0qCQ8XTkmL8CAIJrzCws039loGJfNkx+31ZhU+X5jw/TkGfszyzBhqvOwWCUGTxJJ4U7UUuvp24Xguj+kZDUSlXHZjkqcianphVMsw0qvu7h+WSaTgimopP7+oSg5kOTejpctl+tYPHKoQzovM5cfWEu92Cyenv80QN6yRibUKh0J0WD9wyDPtwg6VPmC9Vg2iHEXgZoJpRuZx/hHxwSdfuP95JeEBEI8HQbDitOtvlzZR64Iim8s77sSEgV0ZMrsFkt0gJJUvhCAxJkFJI1+YKN8LzNFQxiRv1eJO9P/umG3NdxXaMxqGN1wnk0jBE/NCvZmpTUf6Vrrutj6+75jt6x7fd6xCfHC65p0WlEVmPLh6IbbsPKxkHh304lJ2mMPBKlYFjV1fiUOUmUrahtM8rpbI2FZBxAdFBoay+KunDuKc4uRGPB4EwR7VHLx6zPPcXJbDwDphs1sg7X/rZJVZphgaCUES1k5slMkXihh86Z3andBwvhyhiIGCGwNDWfQ8eRAFuwR2n7RnNN+VnwzSRGUTZqfFt9P4Zz4+MJTF2m0HbdMl3Eovqo7LQS8uRRwMDyexKmjMaUFRFY78ClxuVdPk+rRHSm0qMDCUxZr+YSXhYRKJ8CAIQdC9qBP33bwAne0ZEEpeEF3zOpDWVwpEcCwd1mjsypCZyReK2Lr3KLL6bpkxaZqe0WzPj3IoohBdWlW0Gh0r2C4I00S4fdns8j3ECaMcoYiBghsbd4wEIjxMm5zGxhuvqvn1RebyOLKmfxhzegcxb92zWD9wPurJGCetGMeNhbybSOFUptAQJ5ze3xivjRSQoJDSh+HhtlkT5JqmkZtCtWD0C+tczS2d0W2+JtenPRL5oICqedfUNOGVe28IuTWC0DqYoySsk6WojGFaipQmpNYz8oUipmqpKrOmOIQiCtHEKVXJbRczyUwwl0PMB4ayjlVAjMmjuJsLbqhEKqSoVKkpN1bA9IyGD84UKjyGUgRo6RTu7h/G5DQpR9N6YfV0uHXpLNsw+luXzgLgHSWVJsKqxZ2OofiGOGEdu4IWHMyIOBgsqh4PQVe+MBb1PU9FLy2hlug3ryhduT6rkcgHD5be+5zSeZMIIjwIQohENaS8MMFI1RiCkRsrVEV3OE3eBoay6Orbhbm9g+jq25VIY0GhPnquv9J2t3LKJILm8yJt01IgOO+gRoWMlka7QwQRA+W+smXnYVvhgYCy2Gf3/YkYKPhhgoEP8uMAgGlTJuEbS89H3sxoK12nuXwBDAQmPJh5bO9RzO0dxO5XTlRECqaJ0DWvA7tfOYG5vYOefkpFZmw/4DzGzGjTlMeuoHASAUUc9I/h8dBMUbpQZGx6ZqRpn29HLQKXEaXrNFbK9VmNRD64sPTe5/Duh+c8z5NymoIQPlFWj2uNxJ2e0ZQ8MCTXVVDBuBY2PTNSdqEHgLHCBLQ0oT2j4VS+tCNbKE7g9LnS9aSlgHEuRROZS/IB4RuR1UOnno8LOOehexnoMc5/b6ru5kJrMqNNq+hXThgLumwuj+0HsuVF+aIf/LLmscIPxs7yydPn8MOvfQZAKWVkz+snfb2Pm9j/0Zlx7H/L3/vVi5/Sh4I7jfJ4AJwrXQBQ6k+NpNboN7vytIBcn06I+OCAaphR17wObL3zmpBbIwhCEOX0mkFnewa5sXPlhZ4Z1U1lMcITVOle1IktOw9XTeoKRca0KZMwvOE6z/cwomyO5/JIRTTyQUudz3mf0aZh1eJO/OLgO7ah8W4GetaoCVVDXCviwp98Nnz5KvQ8ddBXVRXzfbrRC618oYiNO0Zwdnwi8KjBwgRj696j5UVlIwRxEQeDo56IhyN9KzG3d1DJ47ezPYM9vSsCT90Ii3oELrk+1RHxwQY/nUSEB0FoDMvnz4zsDqwTBGBP7wrMdbin5BQno5LrKvihnuvFGmUTVa+IwsT530fHCp73hiKzrT/Lh2fHMTCUrWuCKJFJrYFdqeiPzox7ev408z5da0UNFex8jOoVxL1EvFrFQaGSWn2AjNQClc0g86LdqbqLU8pcs6hXQJDrUw0RHyz4yaOWqhaC0Dh2v3JC6TxziN+USSmcG59QrsLXntFw1WUXYO8bo4EsuoIyshMjPMEP9VwvYXqrdDYxesmIQCpYIpCKE6W843omjBKZlFzsFsN7elfYPp9yWNAZ/a6e8pph4RYSXwvZXL4cNTU9o4GoJLKrLOL8iHgSaVQfToakKq8D7CMEtBThY1Mnlf+/l8+fiS07D+Pu/mG0t2lIATBpxtBSVFfVl7AQASF8RHwwYdz4vLjkgsnY99dfaECLBKG1sE4o5lyU8S0EmM+c3ZHB2LmJ8kTow7PjKDqU5CsyI5cvYM/rJ8vmXL89MloVYpsC8I1ls7H9QNZ1kaalqcLIzm8on/m7mJ7RoKWpoi2EUjSI0BqYncmtvgxW/F5v5mstzDiHsXPjIb67M8bf7lS5qt5weIlMSiYqi2G7ikxO/W7jjVeh58mDgZTrDIowWmIIjGahRUVIsBMm7UQ8ESnqxxg7zGPKsk/OwJH387bzL+uY4xUhYP0/Gh0rQEsTLpw8CafyamKUkFxEfNBRTbUQ4UEQwsFuQlHvLumr750u/+6242QVN4rM2PP6SVxyweQq09kJAIMvvYNVizux+5UT5fDbM4Ui8nos+Iw2DSuvvhSbnhmpWPCkqGROOaNNAzNwd/8wtuw8XDUIW78Lu7YzSs7mvzj4DjbeeJUM4gnGavpoLatnxU/oqN2CyY4UlQwp61msNMtcjOpcYnktYCQyKZn4jWjx6nfW55spQRhjUSPJF4rY9MxIxfezfP5MTyHfKuI5/b9YI5gkHcqdzd0LHAVsFdwiBOz+j/z4DgnJRsQH+PN4EOFBEMIhiqU0nardjI4V0P+7Y9jy1c84LujsjMkmGEinqCJP2G5C5Oe7yOULMqFKOE7O5I/vO+Y4eVQNHVW91i6cqmF4w3WRrn7hxFhhwjHqASiZVxqh4l47eHb9VVz4k0mtZffc+p35+Xnrnm2Kp0rXvA7flS+CYnSsUBYhs7l8hWmlE1YRz+n7Hx0rVPi3xCEdioh+AuBLAN5j5j/Sj3UA6AcwB8ARAF9j5tFmtbEWJBpMcCPV7AbECfF4EITwiNug5FajesvOw46O6MUJrgq7NSZEBn6/C+vrhWThtEAJYuGieq2d0qNvNncvwO3LZjvWNI8jhYnSQsgoUbju6UNl/ye3BYyBUee9sz0DQslfwiivKMQXp8iVoCJaVPtvKuCuVq/woKUIbVowywevb8BOxHP7/lXG0YjNNf4JwBctx3oB/IqZrwDwK/1x01k/cAjz1j2LOb2DmLfuWXzh/ucrHq8fOJ+2HnbfEeKNiA8eZLQ0Hly9UIQHQQiZOA5K5jByozzh3N7BmtJFDKOuub2DNZU3jNiESggQp4V+EAKAH9NTg83dC/D6fTfgSN9KdNbRb+t5bZjkC0Ws6R/GvHXPOvZla3/rXtSJPb0r8GbfSuzpXeEpPJjvF119u3yZXQcJEc0iot1E9DIRjRDRd/TjHUT0HBG9qv+coR8nIvoHInqNiF4ios+a3usO/fxXieiOpvxBAdJz/ZXIaOmKY0FGtKhe/xdO1TBtctr7xAbxsamT8N9vvhpa0KqIBScRz+37N/fLOCyAmfnXAKxq0E0AHtV/fxRAd0MbZYMR8WYIZkVmvPre6YrHj+09WhYgwu47QrxpWfFhTu9g+Z8bsnshCI3BbrCKC0ZodrbOPF7j9bXsaEdpQiUEi+EwrnrcDyr9zm3SWGu/Nd4zyhEUbv3wsvZMzQKC9X5hjbYwzmmQODEOYC0zfwrAMgDfJqJPw3n39Y8BXKH/uwvAj4FyqPgGAEsBfA7ABkOwiCthR7So9p1T+QLu/coCpG0W+83oPrmxAroXdWL152YF0n+t72Bs+plFPHN/2LLzsGPkhXkcjPEC+BJmfgcA9J8XN7k9jql/TudJNJjgRkt6PvjxeJCOIgiNwWrGNT2j4YMzhYabYvnBmDSF7VfRntFwKl9wFDa0FGHs3Djm9g6Ki3QCsXMmd6t24Qc7k7zl82eWzVS9ric/Jnoz2rSqsnv73zoZOw+JjJbG8vkzazaz88pFb6RRnr64MRY6HxLRywA6Udp9vVY/7VEAzwP4rn78p8zMAPYSUTsRXaqf+xwznwQAInoOpXDyxwNtcIMJs+yete84lepkoOxZoqWA8QlU9cu5vYMNM7A0hLftB7K+hXJrac+Mlq4wb7a739j1By1FVRWgrMKCH+PdOEJEd6EkAGL27Nmhfpbq/7P5PClZKTjRkuKDKpJqITQSP8ZDREQA/h7ADQDGAPwpM7/YjHYHiXWwUqmhnibCBLPj82FifFrYKQ8zL5jsWK2jPaPh9LnxChMvMaBMHvU6k7tR7yTR/Ho3cX/o+9Uu58bfFBcBgoDyYqlWMzuvXPRmGeUR0RwAiwDsg2X3lYiM3ddOAOZt0Lf1Y07H7T6nYYumqONVqtNKYaJkGLn1zmsqjjtVXAmDnuuvrFlwZ5R2wf2IAbaVEyYY7RkN06ZMcn2vmC6A3yWiS/V+dymA9+xOYuaHADwEAEuWLAl18pP2Mb+STRDBi5YRH67e8K/44Kz3jVIEB6GJ/BOAHwH4qemYEfraR0S9+uPvojL0dSlKoa9LG9raBqBSQ90I5ZvrI6IpKIyQ07AnfuaSodbPnzZlUpUwETVHb6F16HToC2757Zu7F2DJJzpcK1KooDJBbtNSGNNL4tYCA+VdWjtUhEiv0pzNMMojoo8B2A5gDTN/QM7h9HZPsMvx6oMNXDTFCdUoIjvDyLbJjcui7l7UWVdf3dO7wtf5Ttf9qXwhqWUbdwC4A0Cf/vPnzW1OKcVPVSA2p5IBsgkiVNMSng+qwoMgNBOfxkPl0Fdm3gvACH1NLN2LOrFqcWd5wZ8mwqrF58WJZngeFJn/f/bePk6q8jz4/167jLKgccGgxRWEEIKJJULlJ1ietr5ESX3dGI0hmpjWn/YlaeJLabD1KRi1kodWbT99mkRjqqlU8S0bIzbEiNSEigYERKLUN4KuVkhgTYKrLLvX88c5Zzk7e86Zc2bmzJwzc30/n/nszH3OnLlm9r7Ofd/Xfb0wqcwEk9X6/EoWKnHjyrOSHM/IFkH9IijOutAq7HlvX2T/6ZzZUVFW/7ZCK/NnTwhcAft5d1/5hgcPb6c1iDj3oVKx6LVOlCciBRzDwzJVfdBtfssbU4p2X18H/MlGjgTeiGg3EuBPXJqEMAN1tWkVoWtDd0k9iyLpGJKHxJHlIiJ3A08C00TkdRG5BMfocKqIvAic6r6uK+VUObIqXEYYTWF8MMODkWPCEg/FdnFtFIpjTPtVeWB99+AkJs8JK8tFKH9iFifpXZLzjOYirF8AQxKNjRlVAIUeN2dJVP8pN7+LuJ95fed0LpwT7cZfjRwynktxucnsSiVjq2WiPDeE73bgeVW9yXfI232FobuvDwGfc6tezAHedsemlcBpIjLGTTR5mttmNBDzZ09g6cqtFSdWTjKGROlD3g3jqjpfVcerakFVj1TV21X1l6p6iqpOdf9WVhu1SvirHMU1QVgVLiOIpjA+xMVCLowcEcvFVUQuE5F1IrJu586dNRArPaLioGH4hD7LWfSrhRI8uLcQXY4MSv+epc676t5NuZvoGdWjVF4Cb/d21AEj6Cta8YftiFVSetNbuF/fOZ1bLphR0c5sFIVWGYxlriSbe1Rpzhpnip8LfBY4WUQ2uo/TCd99fQR4BXgJuA34cwB3gXQd8FP38dWsLJryytwpY8OPJVxojyq0xJ7wB+lOi8BFcyZyfef0yAWl12fDqlF4FN8DoowIYfoAmGG8hvj/R3HLgTeCd4pRfRo258OpN62O5YZmBgcj44QlHorl4tpIsbVxwgv8OSLqkQOiHgT9UweA+9Ztj1ysRP2eXRu6WfzQltAkl+B4nlhMZ/MSN9wnSVjQgnnTIhPuFWfK9yie4Hr9sVTyvrLwCZB2JYRa6JWq/oTg9SbAKQHnK/CFkGt9G/h29aRrbs6fNTEwvwMMj6kvtDjJKMPoG1A+M2fiYL6SkYUWegPecNGcicw6amxkhYioHEf+c6/p2jxYoScI7x4Qp7pLkD7MXbKqLolZm5Hi/1Gc5JM5KWtq1IGG9HyIa3h434HN5aJt5JKkrq8NS9Lwgma3uK95eReTIlxRw36f9lEFFty3KdLw4JFk98poLOLqXRL9LN7hHDOqQHtbYXC388I5E2OHI3jXiusB1dHeRntboeR5fQNqccxGTSjVz/z331KpTPr6lRXP7p8i7N0XvHi8a+12Ll++kf95+10unDNxmFcORHvVXf3gs4PPPTf9MI8m7x4Q1wuvmHokZm1WwqqbtIoM3p8vmjOxVt5aRs5pSM+HuIaHZ6/9eA2kMYx4uImHTgTeLyKvA4twXF3vdZMQbQfOd09/BKfM5ks4pTb/qOYC15igXdEoy3qpXdRmobunl8uXb2TxQ1tYfPYxAKFeDW2FVlQZ5iYfRZLdKyOf+EveejuhcfUxqd6W2vEv3pWddGgbV927icuXb6RVhPmzJwyW70ziAeHJE+dcW9wYtSBOP/POiVNxafc7fYMlmUvtXPerDlY38PTJfx8II8ibIugeIMBJR48b8h2KKfX9S1WNMapH2P9iQDVxclTDSM34ICLfBs4Edqjqb7ttY4HlwCRgG/ApVd2dlgxBWJiFkVVUdX7IoUSur41KcRmyUnWk45YtaxZ6evtYcN8m+lUDk+61txVYfPYxXJGwhFqc3SszPuSXMKPSjedO58Zzp5fUxzh6G2TciHP8mq7NQ8q/BS2Y/J8ftjhrbysM+Tzvs1pCSneWu7gp9T0Nw08cg4LXF9Mytt/91Gtc3zk9sNR1XDpndrDu57tYtnb74DiswAPru5l11NiyjQhJDZtG+Zihx6gmaXo+3AH8M/AdX9tC4DFVXSIiC93XX6nGh5WKLTMMI/+E7YqGTer9589dsipRScwW4KYLZtA5syPxe7NKlEfD6ANH0DmzI3KRVoywf8c4Dy6wIrIN+DXQD+xT1VlZMIpnmSijUpBLdhBR3gylPGaiji8LqTu/bO32QeOD//ODFlBthdZBj6BiWcPOL2dxY55BRlJKGRT8fdHrQ6Vy9STFm1OHud0XE1Yu9/EXdg7bAPDuI+UaEZJuSBjls2DeNBbct2nIHKIFeGevU0LZfnsjCanlfFDVJ4DiTDnnAHe6z+8EOqvxWd7uRynDw9TDRlfj4wzDyBBxS0EmLcXZ2rp/FtUMZTw9I8GCedMohM0gfQhw4ZyJg5ONHOXeOElVZ6jqLPe1ZxSfCjzmvjZc0jYqlYr3jjoeNuKHtSetIlHNqhPlxrUbzUtx/2tvKzBmVCG0L3bO7GDjotO45YIZQ/KXeLlTgvBi9sPwcqbE1ffPzA4udRt1H6lEz6KqxhhVpqijDOCE8lilESMptc75cLiXFM/N3n9YNS5691OvlTxn6mGjefTKE6vxcYZhZIi47v7FuySHtBUQgZ53+gLdq/v6dfAaxe8Nc8euNyJQrliekSBoB23MqAJnfHT8YKb0oF2OHLvAnoOTawUco/hqquSR1wik7W5byrhRbeNH0ioSlVadKFU5ptutLmOLJiOIcvpf0HvCvHi8RX5xCJPH/NlOUa1SISDF+VaKKXUfqVV1F6M8lq7cSl9/9OTCwiyNuGQ24aSIXAZcBjBxYrAl1SNqEWA5HgwjPxSHT5x09LjIBS/EW5wUX/dmN5zCI6wsZ1gZz0riX+MQVlIw6vwL3RrsAJMiyoy2CMNyPhRaZYiRoNwJL2TeBVaBH4qIAt90S9GmYhRvFNI2KrWPKgwmwStuh+hFS887e9mzd7gOjj4gG15KXRu6h7kqB2HhF0baeHkXvPDkVhE+edz++7w3dviP+40JYfeBuB4KOTZOG8Q39mYpzNLILrU2PrwlIuPdCd54YEfYie6k8FaAWbNmDRu542TdjVtiyzCM+hMUE+3fiQmLkS61oxIn1jrp7m7xRK5adLgL9iRxux0Bi/yOkO8zZlSBRWcdM8yrYdFZx1Rl4ZOD3au5qvqGa2B4VEReiPvGJAbxRqIco5I/B1OpHdEw9fHaSy1arrpvE/2+xX1ri3DDJ4I/q9YsXbk1VuUY2zE0fIK+hgAAIABJREFU0qZrQzcPrO8eHK/6VQcTPvoNEGF6Wsp4UYqcGKeNEOIkP/XOM4xS1Nr48BBwMU75wIuB75Vzkbi7jp67mGEY2SdOQqugSXqpxUmcsIykuzLFE7lKKd5BilNxImrXKez7eEaGZp3wqeob7t8dIvJd4HhiGsVLGcQbmSR9Jk4FCj9vhxjZvPY4i5asLmiS7ALajqGRJpVWI4pjvChFM489eeeko8cFhuX4MU8WIy5pltq8GyeO9v0i8jqwCMfocK+IXAJsB84v59qlFimldloMw8ge5br1lVqcxAnLSLorE3YPahVhQDVRyESQ50LYLoN3/aRlRrO2KKsHIjIaaFHVX7vPTwO+SpWM4oZDWA4mr2RfMXG8jqIWLVle0MTdLfTONYy0qDR3ipVSbm4ef2FnYHvcOYlh+EnN+KCq80MOnVLptcNulgK8ajkeDCOXVOLWF7UAiRtSkWQRE3YPGlDl1SVnxC7N2dHexpqFJw9rrzS+FrK9KKsThwPfFSccbwTw76r6AxH5KVUwihsOYd5AYe2NHAseVJ4uiEb5vkZ2qTRxbB5KKRvpUWrOYxhJSK3UZprkqKSbYRgxiVPOspxJetB1K53sl7oHVfpdqlniz3BQ1VdU9Vj3cYyq3uC2/1JVT1HVqe7f4hLRRgLCci2FtTdyX++c2cHS848dVvbwojkTG/L7Gtml0nHQ5t3Njf3/jWqS2WoXUTTyTolhNCtBoQJxql2Uc91K3QNL3YOq8V3Mc8HII/NnT4gs2RdEI/f1Rv5uRn6odBy0eXdzY/9/o5rk0vhg8cyG0ZikNVGv9nXj3INs0WE0I6VK9hmGUR8qGZNs3t3c2P/fqCa5ND6ATewNw6gvdg8yjGCiSvYZhpFPbMxrbuz/b1SLXOZ8MAzDMAzDMAzDMAwjP5jxwTAMwzAMwzAMwzCMVBENKX+VJURkJ/DzmKe/H/hFiuJUgslWPlmQ7yhVHVdnGcomoR5BNn7zMEy28siCbLnWI2ioMQmyLZ/JFo3pUnYw2cojK7LlWpdsflczTLZoYulRLowPSRCRdao6q95yBGGylU/W5WtEsvybm2zlkWXZGpWs/+ZZls9kM/xk+Tc32cojy7I1Mln+3U228siybMVY2IVhGIZhGIZhGIZhGKlixgfDMAzDMAzDMAzDMFKlEY0Pt9ZbgAhMtvLJunyNSJZ/c5OtPLIsW6OS9d88y/KZbIafLP/mJlt5ZFm2RibLv7vJVh5Zlm0IDZfzwTAMwzAMwzAMwzCMbNGIng+GYRiGYRiGYRiGYWQIMz4YhmEYhmEYhmEYhpEquTY+iMi3RWSHiDznaxsrIo+KyIvu3zF1km2CiDwuIs+LyBYR+XJW5BORkSLytIhscmW71m2fLCJPubItF5EDai2bT8ZWEdkgIg9nTbZGJKu6lGU9cuXItC6ZHtWWrOqRK0dmdSnreuTKYrpUQ0yXypbNdMkYxPSobNlMj1Ik18YH4A7g40VtC4HHVHUq8Jj7uh7sA65S1Q8Dc4AviMhHMiLfe8DJqnosMAP4uIjMAb4G3OzKthu4pA6yeXwZeN73OkuyNSJ3kE1dyrIeQfZ1yfSottxBNvUIsq1LWdcjMF2qNXdgulQOpkuGnzswPSoH06M0UdVcP4BJwHO+11uB8e7z8cDWesvoyvI94NSsyQeMAp4BZgO/AEa47ScAK+sk05E4N5yTgYcByYpsjfzIgy5lVY9cOTKlS6ZHdesHmdcjV5ZM6lLW9Mj9bNOl+vzupkuVyWW6ZA/To8rlMj2q8iPvng9BHK6qbwK4fw+rszyIyCRgJvAUGZHPddfZCOwAHgVeBnpUdZ97yutARz1kA24B/goYcF8fSnZkayYy0Vc9sqhHrlxZ1SXTo2yQmb7qkUVdyrAegelSVshEX/VjupQY06X6k4l+6sf0KDG51qNGND5kChE5CHgAuFxVf1VveTxUtV9VZ+BYz44HPhx0Wm2lAhE5E9ihquv9zQGnWo3YJiKregTZ1CXTIyOMrOpSFvUITJeMcEyXkmG6ZARhepSMRtCjEfUWIAXeEpHxqvqmiIzHsVjVBREp4CjUMlV9MGvyAahqj4isxom3aheREa7l7EjgjTqINBc4W0ROB0YC78Ox8GVBtmYjE301D3oEmdMl06PskJm+mgddypgegelSlshMXzVdKgvTpWyQmX5qelQWudejRvR8eAi42H1+MU4MUc0REQFuB55X1Zt8h+oun4iME5F293kb8DGcpCWPA+fVUzZVvVpVj1TVScCngVWqemEWZGtCstBXM6tHkF1dMj3KFFnpq5nVpazqEZguZYy691UwXSoX06XMUPd+CqZH5dIQepRmQom0H8DdwJtAH058yyU4cS+PAS+6f8fWSbb/hePy8iyw0X2cngX5gI8CG1zZngP+1m3/APA08BJwH3Bgnf+/JwIPZ1G2RntkVZeyrEeufJnXJdOjmv7WmdQjV7bM6lIe9MiVx3Spdr+16VJ5spku2cP/O5selSeb6VGKD3EFNgzDMAzDMAzDMAzDSIVGDLswDMMwDMMwDMMwDCNDmPHBMAzDMAzDMAzDMIxUMeODYRiGYRiGYRiGYRipYsYHwzAMwzAMwzAMwzBSxYwPhmEYhmEYhmEYhmGkihkfDMPIJSKyWET+UkS+KiIfK+P9J4rIw2nIVm1EpFNEPlJvOYzGRUQmichz9ZbDMIzSiMi3So0JInKHiJwX0D5JRD6TnnSGkU1EZLWIzKrStYbMy8qdizYjZnwwDCPXqOrfquqP6i1HynQCZnwwMomIjKi3DHHIi5yGUQpV/f9V9Wdlvn0SYMYHwyiBiLRGHB4yL2uSuWhVMONDznEt2C+4VvDnRGSZiHxMRNaIyIsicry7Q/xvIrLKbbvUfW+LiPyLiGwRkYdF5JEgK7lhZAUR+RsR2SoiPwKmuW2DuzsiskREfiYiz4rI3/uOf0NEfiwi/y0iZwZc93gR+S8R2eD+9a7dKiJ/LyKb3Wv+hdt+nIj8p4isF5GVIjLebV8tIjeLyBMi8ryI/H8i8qCrd9f7Pu8iEXlaRDaKyDe9AU5EfiMiN4jIJhFZKyKHi8jvAmcDS93zp6T6IxvNTKuI3OaOCT8UkTYRmeH2xWdF5LsiMgYG+/rfich/Al8WkfPdMWiTiDzhntMqIktF5Kfu+//EbT/R1ZHvuvr6DRFpcY/Nd/XtORH5mtv2KRG5yX3+ZRF5xX0+RUR+4j6P0slBOWv7cxpGNCLyVyLyJff5zSKyyn1+iojcJSKniciTIvKMiNwnIge5xwd3cEXkEndsW+3q7z/7PuL33THtFd/8bgnwe+54ckUNv65hxEJEutx7+RYRucxt+7irB5tE5DG37SAR+VffHO2Tbnug3hR9RphubRORv3XHlvNF5FJ3DNskIg+IyKigeZkMnYueIs58crOIfFtEDvRd+1r3MzeLyNE1+UGzhqraI8cPHAv2PmA6jjFpPfBtQIBzgC5gMbAJaAPeD7wGHAGcBzzivu+3gN3AefX+TvawR9ADOA7YDIwC3ge8BPwlcIfbl8cCWwFxz293/94B/MDt51OB14GRwInAw+457wNGuM8/BjzgPv8z4AHfsbFAAfgvYJzbdgHwbff5auBr7vMvA28A44ED3c89FPgw8H2g4J73L8Dn3OcKnOU+/z/ANb7vYLppj9QevrFkhvv6XuAi4FngD9y2rwK3uM9XA//ie/9moMN97uneZb4+fCCwDpjs6t67wAeAVuBRV4ePALYD44ARwCqc3aXfAn7qXud+4KdAB3AxcGMMnfyXav9e9rBHNR7AHOA+9/mPgafd/rwI+ArwBDDaPf4V4G/d56uBWa7ObPONTT8G/tk95w7gPpyx7yPAS277ibhjnz3skcUHMNb92wY8BxyOs3aZXHT8a96Y5L4eg7POKaU3UedsA/7Kd81Dfc+vB/7CfX4HvnkZ++eiI11ZP+S2fwe43Hdt7/1/Dnyr3r91PR7mgtgYvKqqmwFEZAvwmKqqiGzGmVBuBL6nqr1Ar4g8DhwP/C+cQW8A+B+33TCyyu8B31XVdwBE5KGi47/CWdB8S0RWAP58Dve6/fxFd9e02Np8CHCniEzFMQAU3PaPAd9Q1X0AqrpLRH4b+G3gUREBZ/H0pu9anlybgS2q+qYr7yvABBy9Ow74qfv+NmCH+569PrnXA6fG+F0Mo1q8qqob3efrgSk4hoT/dNvuxFnMeCz3PV8D3CEi9wIPum2nAR/17bgegmMA3As8raqeB8PdOHrRB6xW1Z1u+zLg91W1y93hOhhHh/4d+H2ce8KDOF5QUTrpl9MwssR64Di3b78HPIOzOPo9nLHkI8Aat18fADxZ9P7jgf9U1V0AInIf8CHf8S537PuZiBye5hcxjCryJRH5hPt8Ao4h+wlVfRWcuZh77GPAp703qepucbxbS+nNnBLn+MeM3xbHc7UdOAhYWUL2aThj6X+7r+8EvgDc4r72xsf1wLklrtWQmPGhMXjP93zA93qA/f9jLXqP4nhHGEaeKO7H+w+o7hOR44FTcAajLwInh7yv+PV1wOOq+gkRmYRjHQdHR4rPFRyjwgkhovj1r1g3R7jvv1NVrw54b5+6JnGgH7tHG7XF31/7cSZbUezxnqjqn4rIbOAMYKOIzMDp63+hqkMmayJyIsnHpCeBP8Lxbvox8MfACcBVwESidXJPSLth1BVV7RORbTh9+79wPI1OwjH8vQo8qqrzIy5Rah7n12mb8xmZxx0fPgacoKrviMhqHO/taUGnEzxHi6M3Uef4x4w7gE5V3SQin8fxHIr8CiWOezrZtHM8y/nQPJwjIiNF5FAcxfkp8BPgk+Lkfjic0gplGPXkCeAT4sShHwyc5T/oxusdoqqPAJcDM3yHz3f7+RQcV++tRdc+BOh2n3/e1/5D4E/FTVQnIl5oxzgROcFtK4jIMQm+x2PAeSJymHdNETmqxHt+DRyc4DMMoxq8DewWkd9zX38W+M+gE0Vkiqo+pap/C/wCZ7dqJfBnIlJwz/mQiIx233K8iEwWJ9fDBTjj0VPAH4jI+8XJgzLf93lP4IRZPQFswFmgvaeqb1O5ThpGPfH37R8Df4rjsboWmCsiHwRwY80/VPTep3F0Zow7Tn0yxufZeGJkmUOA3a7h4WgcL4UDcfr5ZBici4EzR/ui90ZxchLF0Zs453gcDLzpjmMX+trD9OgFYJJ3bSLGzWbFjA/Nw9PAChyFu05V38CJZX8dJ57qmzgTv7frJqFhRKCqz+C4wm3E6bs/LjrlYOBhEXkW50bvT6S11W37D+BPVfXdovf+H+BGEVmD47Lt8S2cGPRnRWQT8BlV3YsT1/c1t20j8LsJvsfPgGuAH7qyPoqTFyKKe4AFbgIjSzhp1JKLcZJqPYtj0PtqyHlL3QRaz+Esojbh6M/PgGfc9m+yf6fnSZzEd8/h7PB+1w1Ruhp43H3/M6r6Pff8H+MYNJ5Q1X6cmNqfAFSqk4ZRZ36MMwY8qapv4YQP/tgNP/o8cLerf2spChlU1W7g73Dmbz/C0bdS87hngX1uAj1LOGlkjR8AI9w+fx1Ov9+JE3rxoHuP98IirgfGiJvsGDgppt6UPMfH/8bRr0dxDAsegfMyd375R8B9bvj7APCNcn6IRkX2e/gajYqILAZ+o6p/H3DsIFX9jesR8TQwV1X/p9YyGkZaiMgdOMm17q+3LIZhDLrV/qWqDqs8YxhGMnzzuBHAd3GSrX633nIZhmEE0ZSxJsYQHhaRdpxkK9eZ4cEwDMMwDCM3LBaRj+Fk2f8hTpUzwzCMTGKeD4ZhGIZhGIZhGIZhpIrlfDAMwzAMwzAMwzAMI1XM+GAYhmEYhmEYhmEYRqqY8cEwDMMwDMMwDMMwjFQx44NhGIZhGIZhGIZhGKlixgfDMAzDMAzDMAzDMFLFjA+GYRiGYRiGYRiGYaSKGR8MwzAMwzAMwzAMw0gVMz4YhmEYhmEYhmEYhpEqZnwwDMMwDMMwDMMwDCNVzPhgGIZhGIZhGIZhGEaqmPHBMAzDMAzDMAzDMIxUMeODYRiGYRiGYRiGYRipYsYHwzAMwzAMwzAMwzBSxYwPhmEYhmEYhmEYhmGkyoh6CxCH97///Tpp0qR6i2E0OevXr/+Fqo6rtxzlYnpkZIG86xGYLhnZwHTJMKpD3nXJ9MjIAnH1KBfGh0mTJrFu3bp6i2E0OSLy83rLUAmmR0YWyLsegemSkQ1MlwyjOuRdl0yPjCwQV48s7MIwDMMwDMMwDKNGiMgEEXlcRJ4XkS0i8mW3fbGIdIvIRvdxer1lNYxqkgvPB8MwDMMwDMMwjAZhH3CVqj4jIgcD60XkUffYzar693WUzTBSw4wPhmEYhmEYhmEYNUJV3wTedJ//WkSeBzrqK5VhpE9DGh+6NnSzdOVW3ujp5Yj2NhbMm0bnTNNnwzCMNDn1ptW8uGPP4Ouph43m0StPrJ9AhlEDbM5hGJXTzHokIpOAmcBTwFzgiyLyOWAdjnfE7vpJF49m/v8ZyWi4nA9dG7q5+sHNdPf0okB3Ty9XP7iZrg3d9RbNMAyjYSk2PAC8uGMPp960uj4CGUYNsDmHYVROM+uRiBwEPABcrqq/Ar4OTAFm4HhG/EPI+y4TkXUism7nzp01kzeIZv7/GclpOOPD0pVb6e3rH9LW29fP0pVb6ySRYRhG41NseCjVbhiNgM05DKNymlWPRKSAY3hYpqoPAqjqW6rar6oDwG3A8UHvVdVbVXWWqs4aN67yKqFdG7qZu2QVkxeuYO6SVYkMB836/zPKo+HCLt7o6U3UbhiGYRiGUQ425zCMymlGPRIRAW4HnlfVm3zt4918EACfAJ5LWxbPc8EzIHieC0Cs0Ilm/P8Z5dNwxocj2tvoDujsR7S31UEawzAMwzAalbTmHBfe9iRrXt41+HrulLEsu/SEiq5pGFmlSefuc4HPAptFZKPb9tfAfBGZASiwDfiTtAWJ8lyIY3xo0v+fUSYNF3axYN402gqtQ9raCq0smDetThIZhmE0Ftd0bWbK1Y8waeEKplz9CNd0bWbqYaMDzw1rN4xGII05R7HhAWDNy7u48LYny75mFCKyTUQ2i8hGEVnnto0VkUdF5EX37xi3XUTkn0TkJRF5VkR+x3edi93zXxSRi1MR1mhIFsybRqFFhrQVWqSh5+6q+hNVFVX9qKrOcB+PqOpnVXW62362zwsiNSr1XLC1l5GEhjM+dM7s4MZzp9PR3oYAHe1t3HjudMu4ahiGUQWu6drMXWu3068KQL8qd63dzuwPHDrM0GDVLoxGJ405R7HhoVR7lTjJXfzMcl8vBB5T1anAY+5rgD8EprqPy3CS4yEiY4FFwGycGPVFnsHCMGIhJV4bqRHmoRDXc8HWXkYSGi7sAhwl6JzZMVj25YrlG1m6cquVfTEMw6iQu596LbT95RtPr7E0hlF/vDlHg3EOcKL7/E5gNfAVt/07qqrAWhFpF5Hx7rmPquouABF5FPg4cHdtxTayTlBJxqUrt9LXr0PO6+vXULf/uGUdrfxjPBbMmzYk5wMk91xo0PugkQINaXwA54az4P5Ngzez7p5eFty/CYiXPMUwDMMYjufxELfdMIz41Kk0nQI/FBEFvqmqtwKHe+7eqvqmiBzmntsB+C2Qr7ttYe3DEJHLcLwmmDhxYjW/h5FxwhIbFucb8Ahy+4+bHLHSJIrNhPd7mKHGqAUNa3y49vtbAq2o135/iymTYRhGAoJi0ItpFfORNYxKiSpNN3fK2LQ+dq6qvuEaGB4VkRcizg1SdI1oH97oGDduBZg1a5ZZLZuIsMSGrSKBBuwgt/+4yRErTaLYDJhniFEPGi7ng8fud/pC2+u0s2AYhpE74hgeAObPnlADaQyjsYlK8JZWtQtVfcP9uwP4Lk7OhrfccArcvzvc018H/Mp+JPBGRLthDBLWv8M85046elzsaxS3W/nHaDzPkO6eXpT9niG2RjLSpmGND1GYchmGYcQjjsfDRXMmcn3n9BpJZBjVp2tDN3OXrGLywhXMXbKqZnOE4soxIwvB07KOlErWichoETnYew6cBjwHPAR4FSsuBr7nPn8I+Jxb9WIO8LYbnrESOE1ExriJJk9z2wxjkLAEhmGec4+/sDP2NYrbK02i2OiEeYZcvnxjTe+BRvPRsMaH9rZC6DHP7cowDMMon21LzuDlG083w4ORa+q1AxhUOaa3b2DYxCzlknWHAz8RkU3A08AKVf0BsAQ4VUReBE51XwM8ArwCvATcBvw5gJto8jrgp+7jq17yScPwCCvJGOb5EOSlELeso5V/jCbKA8S8IIw0aVjjw5nHjo88bm5XhmEYhmFExYanSVjlGISalaxT1VdU9Vj3cYyq3uC2/1JVT1HVqe7fXW67quoXVHWKqk5X1XW+a31bVT/oPv41FYGNXBNWkjHMsyfISyFuWUcr/xhNKQ8Q26g10qJhE06uePbNyOPmdmUYhlGauVPGBoZepJj8zjBqSr1iw8N2ewcU1iw8OdXPNox6EVaSMUmpx7hlHa38YzhB5TWLsY1aIw0a1vMhLOEkmNuVYRhGXJZdesIwQ8PcKWNTS35nGOVQSc6GesWGh8W5W+UYo9kwL4Xa4//Nw7CNWiMNGtbzIQq7oRmGYcTHDA1GlvFyNng7eF68MhBrrA/aAazFJsX82RO4a+32wHbDSJtGK7PYaN+nFnieIcX3ULCNWiM9Gtb40N5WoKd3uPdDe1vBbkaGYRiG0SBE5WyI65rtXSfthUvxAmnulLGsfWU3/aq0ijB/9gRL4GqkTqUGu6zJk7XvkzdqeQ80jIY1Piw++xgW3LeJvoH9MZWFFmHx2cfUUSrDMAzDMKpJNXI21CI2PGiBtGvPXv7hU8faJN+oKZUa7Dyq5W1QqTzV+j7NjOXHMGpFw+Z86JzZwdLzjx2MH2tvK3DQyBFcYfVrjQwjIq0iskFEHnZfTxaRp0TkRRFZLiIHuO0Huq9fco9PqqfchmEY9aJeORuSUq+qGoZRTDUMdkElai9fvpEP/+//SJx7pVJ56pU01jCM5DSs5wOExzKZO5aRYb4MPA+8z339NeBmVb1HRL4BXAJ83f27W1U/KCKfds+7oB4CG/lk0sIVw9q2LTmjDpIYRmXUK2dDUmyBZGSFQ0JCk5MY7IKMaQC9fQNAsrl2mDyHtBUCzy/2uGgfVQhMNJ81A6RhGA3q+VCc9XrxQ1tst8HIPCJyJHAG8C33tQAnA/e7p9wJdLrPz3Ff4x4/xT3fMEoSZHiIajeMLJOXTPl58dAwGpuuDd3s2btvWHuhRRIZ7OIYzeLOtcNmL0HtQR4Xv3l3H4XWoSdn0QBpGEYDej50behmwf2b6Ot3cj10R9wcbbfByBi3AH8FHOy+PhToUVVvlvA64M2mO4DXAFR1n4i87Z7/i9qJaxjZQ0QmAN8BfgsYAG5V1X8UkbHAcmASsA34lKrudo12/wicDrwDfF5Vn6mH7Eb55CFeOS8eGkZjs3Tl1sE5sp+DRo5IpENHtLdFzrE94pzTE+C1ENYe5HHRN6C0txUYfeAIS5gYA6sMsh/7LWpPwxkfrv3+lsCbahC222BkBRE5E9ihqutF5ESvOeBUjXHMf93LgMsAJk6cWAVJDSPz7AOuUtVnRORgYL2IPAp8HnhMVZeIyEJgIfAV4A+Bqe5jNk5Y0+y6SG7EIq+TRcsob2SBsI23MANAGAvmTeOK5RuHTzyKaI3hlBlmyAiap4fJ/3ZvHxsXnVbys5qdsFD0dT/fxeMv7Gyqe5OF5deH1I0PItIKrAO6VfVMEZkM3AOMBZ4BPquqe6v1eUExX0HYboORMeYCZ4vI6cBInJwPtwDtIjLC9X44EnjDPf91YALwuoiMAA4BdhVfVFVvBW4FmDVrVjyrnNGQ+BdsjYyqvgm86T7/tYg8j+MpdA5wonvancBqHOPDOcB3VFWBtSLSLiLj3esYGSPvk8U8eGgYjU2ShX4UnTM7WPfzXSxbuz3SANGvpaceSbyCqiV/sxKW+Nb/f8zbfbVcrEpKfahFzgcvgZ6Hl0BvKrAbJ3FeTch6PKjRvKjq1ap6pKpOAj4NrFLVC4HHgfPc0y4Gvuc+f8h9jXt8lbt4MoxhFMfINgtuFZiZwFPA4Z5Bwf17mHvaYAiTiz+8ycgYea8YcU3XZqZc/QiTFq5gytWPcE3X5nqLZDQZC+ZNo63QOqSt3A256zunc/MFM+iIWPhHHfNIkrelmvI3I2EbEMVzg+L7anE+vbBKJnHPywKWBLg+pOr54EugdwNwpS+B3mfcU+4EFuO4uVaF9pCMue1tBdYsPLlaH2MYteIrwD0icj2wAbjdbb8d+DcReQnH4+HTdZLPyDjXdG3mrrXbY53bSNUuROQg4AHgclX9VUQ+VgthyhF5niwW62K/6uDr6zun10sso8mICv9JGtJ0Tddm7n7qNfpVaRFAnUQ7HkmMAnG9gix8qTLi5uqA/ffVuB5nefNMMy+a+pB22EWSBHpVYfHZx3DlvRsZ8E0dW8RpN4w8oKqrcVzCUdVXgOMDznkXOL+mghm5o5ThQYBXG8jg4CEiBRzDwzJVfdBtfssLpxCR8cAOt90LYfLwhzcNYiFM2SDPk8W7n3ottN2MD0YtCVroByVsX3D/psHziykeX7x5d1uhhXf7BhIbBfyGjFYR5s+eEKoXFr5UPkEhLmF499W44Ql5C2OwJMD1IbWwC38CPX9zwKmBkzgRuUxE1onIup07d5b8PM/N5/LlQw0PEC/ZjWEYRqMRttjxyMOCLSmuh93twPOqepPvkD9UqTiE6XPiMAd42/I9ZJc8u1yHxb7HiYk3jLQJStje169c+/0tgecveyrYsP3uvgFeXXIGaxaenMjwcNfa7YO64HkFWVhS9fFCXEqtjfz31bgeZ3nzTMtLmeZGI03Ph6QJ9IaQZJep2M2nmL4BzaxO3RbIAAAgAElEQVTVzTAMIy2iFjV5WbCVwVzgs8BmEdnotv01sAS4V0QuAbaz33PoEZwymy/hlNr8o9qKayRlZKFlcLxvbyuw+OxjcjG+t4oE6qRtkBhZICxhe1h72PBSji0tLa+gvFbGSZvOmR1cvnxj6PGOot8qrsdZHj3TzIum9qTm+VBGAr2yCXLzKSZufJNhGEajELWoaVTrvqr+RFVFVT+qqjPcxyOq+ktVPUVVp7p/d7nnq6p+QVWnqOp0VV1X7+9gBONtNPgXQ+/tG4h4R7aYP3tConbDaBbS8AoqTrTs5R/IcgLEWhI2P2gVGea1EtfjLM+eaUbtSL3UZgBhCfTKJo47j+0sGIbRbMyfPSEw58NFcyY2pOHBaGyyEk9cvJs66dA21r6yu2SsutcWN67dMNImTgnmUYVaFMarPlm5X2SVJAafuEk+LRmoEYeaGB/iJNCrhDiZWy2m0jCMZsMWO0YjkYV44qBs7v75R6kKFtd3Tjf9MzJBqZBljwNGtAa2F1qgL8TxqGtDd6oLzjjhFFm4X2SBsN+qI2LtNHfJqmG/aZJqJPU2NkT1jySJTY10qIfnQ9WJm7n1wtue5PxZE5vKImfxbobR3Nhix2gUshBPHCfME6yChZF94vbltwPK1wP0R+zpLX5oS2pzzbByjut+vovHX9g5ON8ddUAre/YO/37towqpyJVFokpfRq2dsl4iM4qo77zu57us3HEGyKcvVRH+bKVRrHl5F1cu39g08V8W72YYhmE0ClmIJ467a2relkaWuaZrc+xcaGHGveLKcn56QgwWYbSFhHYEtYeFUyxbu33IfDfI8ADlJcTMK6VCT6LWTt55eSPqO0clNjVqR0N4PsBQN59JC1eEnlfsIdbI8V8W72YYjc2pN63mxR17Bl9PPWw0j155Yv0EMowUyUI8cZwwT7A8U0Z28cpaxiHKuBdWvaUcRhZa6Q2I4RhZGB7yEWYAjCtJmCdHI1Iq9MRbO01euCLw98tjiErUdw7rI2Ysri0NY3zwI8S/CYHTIRsxPMHi3QyjcSk2PAC8uGMPp9602gwQRsNS73jiuGGeVsHCyCpRu7wtAOJ4NbSK8MnjwvVtzgfGsOblXYHHxiQMbUhS5jOuATCMLJd9rDalQtW8tU/YmumQtvyFqER95/95+10rd5wBGiLsws81XZsTGR7Aif9qxPCEsBtsM914DaNRKTY8lGo3DKNy/K7KAnS0tzF3ytjByWurCBfNmWjxw0Zmidzllf3hFP2qPLC+O3QuvO2X4QaARWcdk0imqLKPxQSFX4UtHYvbm63sY1Somj80O4y+/viljLs2dDN3ySomL1zB3CWr6raGivrOVu44GzSc50PSuJ22QiuqNGR4QtAOTbPdeA2jkfjg1SvYZ96BhlFX6u19YRiVEBUuUZzHIWouXE0v2krLPp509DgeWN89bL77yeM6hiShbASv5iREharNXbKqpAdXWN6MYqKSPNb69476zt4xq3ZRXxrO+BAnbqejvW1Ih7xi+cbA8/IenpCF+FjDMKqDGR4Mo3pceNuTQ1zG504Zy7JLTwg9Pyo0sxHDNo3GZf7sCbFzPgChO+Ptowqh4RJJN+/CDCJhHhFBBsBZR401PQwgzFhazTVO1nLMRRmIrQJY/WkY44M3+MfBu5F29/Ry7fe3MLLQEpjo5pC2Qu4nFbZDYxiNQVzDw9TDRqcriGHknGLDAzjVsC687clAA0TUrh6QmR0/w4jD9Z3TExkfwgwA70bsmidd2CbxfAgjb/NdEZkAfAf4LZx8+Leq6j+KyFhgOTAJ2AZ8SlV3V/vz4+TOaI+Z8yHs/93d08vkhStirZ/yvt4y4tMQOR/ixC2FsfudvkDDA8Ce9/oaMheEYRiNiVW7MIzShCXJC2uP2tWLOmYYWSTpHDbMABA2dwbHKyIJYeUew9obhH3AVar6YWAO8AUR+QiwEHhMVacCj7mvq05QbgQ/hRZh8dnxcndE5ZKLs37yr+NsvdX4xDI+iMjkOG31ImjwrwZ9A+G5IAwjjKzri5Ef/Amcoti25Ay2LTmj4QwPpktGFoiqHJWlqlKmL0Ycks5hW8ooBBDlFRFEVJLAPFCO7qnqm6r6jPv818DzQAdwDnCne9qdQGd1pXUoTp47ZlSB9rbCYCLdpecfO8zzICypZClDBkSvn8yI21zEDbt4APidorb7geOqK0551HqQz3suCCN1Mq0vRj4odvVuUkyXjJoS5CJcqlxd1LEaY/pilCTpHLY4CaXH6ANaQxMSRnlFBNEAOcoq0j0RmQTMBJ4CDlfVN8ExUIjIYdUTcyhJQlXiJJX0/n9hwTJJjbW23mpMIo0PInI0cAxwiIic6zv0PmBkmoLFpWtDNy0RmXsrQSBQgaxUpRFEHvTFyA9peXTlAdMlI02mHjY6tCSt3+UXnEl1VOWo//v4i4HXGXVA7aJaTV+aj0ri4+PE+sdhoMrz7rzlbIDq6J6IHIRjvLhcVX8lITk2At53GXAZwMSJE5OIHRt/Pwtaa/mTSnqPrg3dXHXvpsB1Wdj6qZSB12gsSnk+TAPOBNqBs3ztvwYuTUuouHhWuEoND60twsCADjM0CDCiVejr338kT25gRs3JtL4Y+SKuxX/bkjNSlqQumC4ZqfHO3tK7ssWTagjelb08pFpWmHEjJSrWFxFpBdYB3ap6pusyfg8wFngG+Kyq7hWRA3GS5B0H/BK4QFW3ude4GrgE6Ae+pKorq/DdjCIqLWt40tHjEiWcDCPKu2FUoSFSysWhIt0TkQKO4WGZqj7oNr8lIuNdr4fxwI6g96rqrcCtALNmzQpcCBUbqU46elzs0qPF/SxsreXNVa7p2syytdtDvR6i1k9RBt5qY4kt60+k8UFVvwd8T0ROUNUnayRTbOLsDEbVM/aYf/wEHt70Jj29Q0sGDQDvO2AEow8cYZ3UKEnW9cXIF2E7AR3tbaxZeHIdJKodpktGmsQ17OXF5bdK+vJlnJjz97mvvwbcrKr3iMg3cIwKX3f/7lbVD4rIp93zLnAT5X0aZxf4COBHIvIhVW1O960UqbSs4eMv7ExLtEEOLBH/3yhUonviuDjcDjyvqjf5Dj0EXAwscf9+rxzZgoxUfqNTd08vly/fyLXf38Kis44Z1nfiel8e0d7GNV2bIw1arSLceO700P5Zq7CbSg13RnWIm/PhJRH5a5yyL4PvUdU/TkOouMSZGMTxiljx7Ju8XWR48Hi7t4+Ni05LLJvR1GRSX4x8UcudgAxjumRUnUPaCsM2G8LOg9KlNjNEWfoiIkcCZwA3AFe6i6KTgc+4p9wJLMYxPpzjPgcnpv2f3fPPAe5R1feAV0XkJeB4wIyHVabS+PikRrVyEk72vFNavxqMcnRvLvBZYLOIeC5Uf41jdLhXRC4BtgPnlyNQXOPB7nf6AhfgcfvJgnnTuOreTZHnDKiWXNzXIuymUsOdUR3iGh++B/wY+BGOO10mqFbc2u53+kI9JCzeyCiDTOqLkS8aIAFXNTBdMqpOzJDqwfNylIm9XH25Bfgr4GD39aFAj6ruc1+/jpOFH/fvawCquk9E3nbP7wDW+q7pf49RRSqNj086d/7M7OB8AlEJJxWYu2RVM41ZiXVPVX+CE+EdxCmVCpTEyBS0AI/bT6LCz/zXqiVhoRWW2DIbxDU+jFLVr6QqSRkE7QyWS5DhoQl3GY3qkEl9MfJHHhNwVRnTJaPqxN2V9c7L0YQ1sb6IyJnADlVdLyInes0Bp2qJY1HvKf7M1BPlNTKVesUtmDeNBfdtoq+ojEWLgOrQf1qLwKyjxgZep9DaQtQ6u8lc2jM3ViU1MnX39DLJV9Z76mGjaSu0xlpjRYW412ot5Rkcunt6hxQM8PfDsN9EgUkLVzBmVCEwBKUWNFMuirgZYR4WkdNTlaQMimvUtrsukpXQKjJY4zYqPims1q1hkFF9MbLHpIUrhj2MIZguZZw8joVJdoijzj+ivS3UiyKud0WVKUdf5gJni8g2nASTJ+N4QrSLiLdBdSTwhvv8dWACgHv8EGCXvz3gPUNQ1VtVdZaqzho3blxCcRuXKF3yH1u6ciufPK5jcO5bar5aTOfMDg4aOXzvcUCHW4sGlFAPn7BwZT8Z9RBKg8yNVQvmTaPQWv6N6MUdezhyzEg6Iu6XY0Y56645HxgTePzAES2J+ma5eKFxnmGhuB97/fCko6PvN7vf6WPB/ZtqPo755fdXXMrDeFoOcY0PX8ZRrHdF5Fci8msR+VWagsWlc2YHaxaezKtLzmDjotMGFaFcBlR5dckZrFl4cskMsM3SSYzEZFZfjOwQZmgwA8QQTJcyTF7HwjhlMP27dQvmTaOtKIGed7xtRPC1wtpTJrG+qOrVqnqkqk7CSRi5SlUvBB4HznNP8ye985Lh4R5fparqtn9aRA50K2VMBZ6u5pdrZKJ0KejYA+u7WTBvWsn5ahi7E+RkCPPwOSTmhl8GPYTSIHNjVefMDkYfENfBPZgXd+xhzcKTueWCGcMMGYVWYdFZxwCw7ZfB/+P3H3RgTXbv4+S3eKOnN1ay1b5+rbnBLEehfVUh1uioqgeraouqjlTV97mv31f6nbXDswonuaEG4cWpRU2emq2TGMnIg74YRh4wXco2eR0Lo8pgBu0kF3tZ+o+HlRuMKkOYFlXWl6/gJJ98CSenw+1u++3AoW77lcBC97O3APcCPwN+AHzBKl3EJ0qXqq1nSY2DYZ4/cb17ojyN8ug5FURWx6o43ilx6JzZwdLzjh1yD1x63rGD98h6h6bF+Zwj2tsyW+mo3r9frYllEnMzGV8ITFbV60RkAjBeVTNh1S7ORF0ppeLUojpJM8XsGMFkXV8MIy+YLmWbRpwwvbrkjMD2sPwrlSb/qyaV6ouqrgZWu89fwalWUXzOu4Rk31fVG3AqZjQkac7vytGlcvUsidGi0CKh8fpxcqcUWsPf30hlD7M6VlUjMf/cJat4o6eXQ9oK9PUPDHrfLH5oC+D8r+p9HxxZaIk0+Hqeal5OiFIkkbsa94V6/361Jq5f4L8AJ7C/7NJvgP+bikRlELecTBKirMphneGQtkIuXVCNqpNpfTGMHGG6lGGiciFkDf8OazWJCsmoA6YvKZF2iFGULlVbzxIZLSK8G2J9fkS1+7x6ToWQSd0Luj8lQWCwz/f09g2pbtLT28eC+5z8CGG5FErlWKgW7+0LNzz4PdXiyBNlMCumWveFjI0jqRM3GGi2qv6OiGwAUNXdInJAinLFwp/ZNA2KPRnaRxVQdRTOn0kVnE4igtWPNSCj+mLUl1NvWh3p7m0EYrqUYSrNul8r4npHTj1sdOJrZ6wkrulLSkQtlCv9X3dt6OadvfuGtQ/JO3L/Jvr69886kyyQikmyG+7Fvwd9xzgV5/oGwt/fYJ5TmdQ9//2pnLVShO0I2P//DSNOjoVqMBAh6JqFJw8+LyVP0moX1bovZGwcSZ24xoc+EWnF7YciMg6ofUCjj2qHWgTheTJ4n+HPJ+HVlVIcq9qCedO4IqTObU5vpEb5ZE5fjPqSJInkthC37ybFdCnD5GXCFNc78p295XWtDJXENX1JibQWymFz2fa2AovPdhZBXRu6h68CS60KI1gwbxqXh8xXgwhbtBbrf5hIYb9RVNnDuUtWZfJeEkFmdc+7P01euKKSbhNKGqFBxVzTtZm7n3qNflVaRZg/ewLXd04fPB5V6tPfl8LkEcJD7qKo5n0hQ+NI6sQNu/gn4LvAYSJyA/AT4O9SkyoGaYRa+Cm0SKAngx/P8OBlGs6TC6qRKon1RURGisjTIrJJRLaIyLVu+2QReUpEXhSR5Z4l3c0ovlxEXnKPT0r3KxnlEsfwsG3JGYMPYwiZG3uMofgrTpWTdb8WxJ0IpuVFWUNMX1Iirfld2Fx29IEjhizu+4q2dvsGlMuXbywrSWPnzA5GFeJXY4mbWLI15MSw3ygqJCCHYcuZ17201iJphAb5uaZrM3et3T5oXOhX5a6127mma/PgOfNnTwh7+5C+VG05bd1XHnGrXSwD/gq4EXgT6FTV+9IUrBRpexMMEK8UkV+OZovZMYIpU1/eA05W1WOBGcDHRWQO8DXgZlWdCuwGLnHPvwTYraofBG52zzOMhiKLY4+RP+JOBMMWT3nB9CU90prfxdk5jZrvlrNI79rQPcyYEUXIhvKwePegneeo38hfRSaIPOV/yLLuefluunt6o1J4lM2CedNCcyn0vLO34komdz/1Wsn26zunc9GciaH3cK8vLZg3bVjJUHD0qBwZbd1XHkkKUb8F/Bj4L6BNRH4nHZHikbZVqX9AaYmhpX45ospxGU1HIn1Rh9+4LwvuQ4GTgfvd9juBTvf5Oe5r3OOnuNmWDaPRyNTYY+SPuEnXwtx2c4bpSwqkNb+Ls3Naar6bdJG+dOXWIfkjyiXMa6NVJPZv5HlOhU1echa2nDnd8xuIYH/IeLUJy6WwZ29/xQlaw+7Lxe3Xd07n5RtPL92XQrp+d0/vYALNuNi6rzziltq8Dvg88DL7/23ewqgunHT0OO5auz3VzxhQx4IVFnoRlPCnmWJ2jGDK1Rc3XnA98EGcLMkvAz2q6mWieh3wOlcH8BqAqu4TkbdxarH/ouialwGXAUycOLGSr2WkxNwpY+stQmbJ4thj5I+4sel5x/QlXdKY3y2YN40F920a4olQXN4y6JxikizSq7WgDwtT6ldNHEKY91KDWdW9IAORP2ddtT4jTp8qN0FrWD6HYi8HLy9E2Pc6or0tMITJT9+AsvihLYmTRdq6LxlxE05+CpiiqnvTFCYJtcqgeuO508OzxDbqDMaolLL0RVX7gRki0o4TO/jhoNPcv0HG3WE9UlVvBW4FmDVrlvXYDLLs0hPqLUKWSaxLIvJt4Exgh6r+ttu2GLgU8AaOv1bVR9xjV+OEMfUDX1LVldUT38gK/glikgSwOSNzczWjNEH5HIZRYrs6ySI9SbULcCoABCESHJJRjg9mXirnRJBJ3QszClRzMuglG47Tp8oxfM2fPSFws9mf58HLCxGGt1kcVhjAT09v6ZB7ozLiGh+eA9qBHXEvLCIjgSeAA93PuV9VF4nIZOAeYCzwDPDZcpS1Vq5Y3oTFi5fyE1VCyGhqEuuLH1XtEZHVwBygXURGuN4PRwJvuKe9DkwAXheREcAhwK5KBTeqz7YlZwQudka2Ci/ccHodJMoV5ejSHcA/A98par9ZVf/e3yAiHwE+DRwDHAH8SEQ+5BoCjQwy+4ZHeevX+6cMhx98AE/9zamBOlZOAtfJC1ckrtpx4W1Psubl/bffuVPG1suoWNHYY9Seqx98NrR9SMLJEmESXmx9nL6bpNpFoVVYdNYxg6/95efDJConeikvlXMiyKTuJTU0lfsZccquArSHGLKimHXUWP597fYhpUNa3HaPsLwQg+h+WRsgsXDuiWt8uBHYICLP4STGA0BVz454j5dA7zciUgB+IiL/AVyJMwm8R0S+gbPj9PWkgteiA40ZVRi80YZ9lnViI4DE+uKWZepzDQ9twMdwkkg+DpyHY7C7GPie+5aH3NdPusdXqTZGwHIjYlUsyiaxLqnqEwmqv5wD3KOq7wGvishLwPE4emVkjGLDA8Bbv94b6skwaeGKxLrnj08GSi5+ig0PAGte3sWFtz1ZDwNEOXM1o4709gVXY/S3x9ls27PXWfTF6budMzu4YvnGQOOB4MyvgwwAaZe4z7n7eiZ1L8goUM2QCy9EqNh4RMhnlDNLXbpy67CapQNuu/e5pfL1eJvFcYwkYZ4+aeM37OXQ+JaIuMaHO3EWQpuJWbfWXQiFJdD7jO+6iynD+BDXylYuhVbhI+MPDr1BewhOh2nUDmKURWJ9AcYDd7p5H1qAe1X1YRH5GXCPiFwPbABud8+/Hfg3d7G0C2f31jAajXJ0KYwvisjngHXAVaq6Gyd3ylrfOf68KkbGKDY8pEnc+ORiw0Op9pSppr4YGaF9VCFW9TWPOH33d6eMDeyjF86ZyPWd0wPfE7fEfanFW4MusjKpe0EeJScdPY7lT7+WqOJJGAeNHBH4vwu78ttlhDTEqQgTlhei+Hz/7xG0eVzs6VMrig17SQzgeSSu8eEXqvpPSS+eMIFeIkp1oErocJVz2drtJa2DChZ6YRSTWF9U9VlgZkD7Kzg7scXt7wLnly2hYeSDssaeAL4OXIdzy74O+Afgj4mZOwUseWszkrNM+1A9fTESkNZi2tvYKme3OKrvdm3o5pntbw9rnztlbKjhodQ1PUot3hp4kZVZ3Sv2KOna0M3yn5YIU4hJj2sUi+sVc0hbcq+COMlIw/JCBJ3v/z2yYggLMuyVm6AzD8Q1PqwXkRtxXL397kTPRL0pYQK9IcSZ6HkdaPLCFVVzIRJgzcKTmbtkVexr5nCCYqRLWfpiGMYwqqJLqvqW91xEbgMedl96uVM8/HlViq9hyVubjLxk2vdhY0+NqXQx3VZoCQ298K5TTgK8qL4b5sGw9pXdkZ68YYvAVhEGVGMt3hp4kZUb3atWqVXY38/iesWUk4w0rLrhSUePG3w+66ix3P30a/RHeHN453tVMfpVaRVhzgfGAM5azitZW+u+GMe7o5GIa3zwdmTn+Npil5CJmUCv+D2REz2/taolhrtNXDxFSvIPz+EExUiXivTFMIxBqqJLIjJeVd90X34CJzkYOBPFfxeRm3ASTk4Fni5fXCNNDj/4gJqFXsTNtD83xH29TiV0beypMZUupm8896NcuXxjoJ++d52wqhIA7W0F9uzdN2QxWarvhs1v+1UjDSdhFSluPHd67MVaAy+ycqF7XRu6q+otPulQZ/0T95o9CcKHPFY8+2Zou+eps3Tl1kjDg/86fkNGv+qQ+3e9PHHyXmo2KbGMD6p6UtILl5FALzbFluZqGR78N+y4CS3DbvJZceUxak85+mIYxnDKHHvuBk4E3i8irwOLgBNFZAbOZHAb8Cfu9beIyL3Az4B9wBes0kV2CatqEUZHGRM3L+Fe3DF72aUnZKbahY09tafSxXTnzA7W/XxXqMt4VFUJgI2LTks834ya30YZTqpRkaJRF1l50D1v7VRN1r6yO9H55fyfw/Kd+Nvj6Nvud/pKV8WgPp44DVBqNhGxjA8icjjwd8ARqvqHbnmyE1T19oi3JU2gF5sw9544CUf8iMARhwRn9fXqwQZdzfucVpHBTgoMiSFq0Jg2IwZl6ouRE8ywWDvK0SVVnR/QHHX+DcANFQtrZI5ydlNfLaMyTZ3Kag7Dxp7aU+liumtDN3c/Hb4girMRlrRKRJgbu0d3T29o2c5KK1I06iIrD7oXNzQiCUk3f/e8t4+uDd2D8lRrHhV3wziuvLX2xGmAUrOJiBt2cQfwr8DfuK//G1hO9IQuUQK9JIR1igHVRCVkVJ38DkF0zuwIrYPcr0qhRQYzxRYbFxo4ps2Ixx0k1BcjH5hhsebcgemS4XLqTasTnZ/33dQyuAPTl6oTZXCudDH9N9/dHOkuPunQ6EXVpIUrGDOqwKKzjok9Bj3+ws6S53glZxfctwmo3vjWwIusO8i47qWxoG51kzjE3fzt6e1jwf2bQAldQxUTlhelrdAy+HzBvGmh4UvF8saRsx5jR85LzSYirvHh/ap6r4hcDaCq+0Skbq6ppSzNSeKZPnD1Crz7vhdX1+HeDDsiLGnFJWp6+/q56l7nJt3AMW1GPDKlL0Z1uKZrc+BukRkWU8V0yQAcw8OLO/Ykeo8Xj9xEmL5UmVIG50oX03v2Rv97/itGydbd77gLOuIZCZLMRfsGlMUPbanq+Nagi6zM617Skq1x+MC4UUC8ahMeQckue/v6WfzQlkA9agnJUjmy0Dr4fN3Pd5U0PIwZVeCMj44vKWcjeOJknZbSpwCwR0QOxXUqEJE5wPA6PTViwbxptPk6HezvLEHHovDbEDxjmDe4nHT0uETX8pL1hJWSacJdmGYlU/piVM7sGx6NHLDMsJgapksGQGLDA4THI48ZFTxGh7XnCNOXKhPlyerRObODNQtP5tUlZ7Bm4clVXVjH9eTt69chMkWRdC5aTrWNJiTTute1oZvfvLuv6td9cccerunazKyjxtLaUkYpCx89vX10uzlOvHXYNV2bQw10/uSVy0oYFEqVgB19QCuCs/mcJIGqUR5xPR+uxMkKPkVE1gDjcJJG1oU4luar7t1UUSLK3r5+Vjz7JgeOaEkUI9Xb18/IQgtthdaGi2kzYpMpfTEq44NXr2BfiVuJGRZTw3TJKJuwOUDY1KBKuavrielLlcmCJ+uoQgvvhJTj9BPX63fBvGmhYcVG2WRa95au3DrMY7ta3P3Uazz+ws6S1SaS0tvXH5kg0j/vivrkDt8a0fNQL+bdvoGy8v0Y5RG32sUzIvIHwDScZNBbVbWuptAot63OmR1cUYUba7nuST3v9HHzBTMaMabNiEEW9cUoj9k3PFrS8GCGxfQwXTIqoTXEXfftkJ3csPa8YPpSfbJQnSHASz2QsP5eTOfMDu5btz2wRGwQDeARlDpZ1700jWX9qomuX2iVITkfSl07jLjzLn9uv7DrVatqohGPWGEXIvIF4CBV3aKqzwEHicifpytaZdRzJ9J2QZubPOqLEcxbv95b8hxz0UsP06XK6NrQzdwlq5i8cAVzl6wazDLeLMz5wJjA9rAxOu9jt+lL9YkK860F7W0F3ttX2usBki2gll16AhfNmTgkYeDcKWOdhaGPUu7qhkPWdS/Ne5tAaF6GIJaedyxLzz+Wjva2wVCHMANXmEFtVKEl9rxr0sIVXHjbk7HlS8o1XZuZcvUjTFq4gilXP8I1XdUtZ9qIxM35cKmq9ngvVHU3cGk6IlWHpLkfqkVboZWTjh7H1Q9uHha71GwTPz9NNgnOnb4YQ5m0cAWTFq4oed5Fcyaa4SFdTJfKxEuU5x+Hrli+MbcTI39m82LCJq7bfhm8Gw4AhDcAACAASURBVFfvBWWKmL4EUMn8o3NmBzeeO33IQqmaBuf2kBxhHmceOz72tToSLjCv75zOyzeezrYlZ/Dyjaez7NITWHre0EXh0vOOtTEuHpnWvQXzplGoMCdDGEp8w9fUw0YPeq7786QsOuuYwHtymAH53b6BIXo8d8rYyM9d8/KuVAwQXiJy7/v3q3LX2u25HWdrRdycDy0iIqrqJVJpBQ5IT6zK8W6WtY5ru/Hc6VZqs4gmLE+YO30x9hPH6ABw+MEHcH3n9JSlaXpMl8okaBxSnMRcs44am7t7743nfnRYKbUW4KYLZoSGWYa5AjdwuT/TlyLizD+8UprdPb2Dpfj8ceJpVmc489jo7PsPb3oz1nWqZTxr0EoUtSDTutc5s4Nrv7+l6tUukvLSzj3MXbJq2H037J4clkR1wD3Xe1+YodnPmpd3hZbajBuyVExYToq7n3rN5ocRxDU+rATuFZFv4Mxf/hT4QWpSlUFQHeZ6kYUERVmiCY0xmdcXozJGCDz1N6fWW4xmwHSpTMLGG4Vc3ns7Z3Zw4yM/GxIKNYCzwXDgiJZA1/QoV+MGXWSZvhRRav5RbJzwFia12iQpZVyIW2niwBFxHZkdgubMDagPtSTzutdTZ8MDOEl9vRwqQWVri/tgVP4+fy6WuOuraud8sBwS5RHX+PAV4E+AP8MJ7/kh8K20hEpKkGV7wf2b4tcoqiIL7t/EIW2FwAEj7/Gk5dKExphM64tRGYcffIAZHmqH6VKZhCXKg3zee0+9aXVoDpb39g3QIkNLZzdIGEVSTF+KKDX/CDJOeNRikySOcaG4b4ddJ66xpAm9UWtB5nUvakyoF6V0LEpmv7dC3O/WEXJeqwiTF65IbIirtidFsxDLVKqqA6r6dVU9T1U/qarfVNX49SdTJmjw6OvXqpSVKRWPV0xfv9LXP9Co8aRl0ajJvcLIur4Y5bNtyRlmeKghpkvls2DeNMKmP3m89764Y0/k8QEltbj8vGD6MpxS849SC5ZKDHXVynX1mdkTY53nLeRKEeUNYpRHHnTvpKPH1VuEQKJ0bNKh4WOVf9Ef97uFXa9ftawcfWE5KT4wblSs9zcrcatdTBWR+0XkZyLyivdIW7i4pLmL09Pbx+gDkiWu3LO3n96+/kHLV0d7G588roOlK7c2S8LFITRwcq9Asq4vhpEXTJfKp3NmBxfOmTjMANHI915/ArNmMzyA6UsQQfOPQquw5719TI6R3+eI9rayjAhBCV+DFjVxyljOOmoscXMFxpkPhxlcsrYrnifyoHuPv7Cz3iIEEmUMX/vK7tBj/gSrcXOjRF3PI4khLizXxEs79jTVOi8pccMu/hVYBNwMnAT8EYRuqtScNF2JWkUotLYAyQ2Y/aq0FVqZdGgby9ZuH4wCaTYXtwZO7hVGpvXFcAhKLLltyRlsW3JG6DGj5pguVcCso8by8KY3B127x4wqsOisYzJx7613zHm9Pz8lTF+KKJ5/tI8q8Jt398UKdxAYrF6WNEQhbq6rRWcdw1X3baI/xFNXgGu/v6Vk2IVHHK8mcxVPhczrXhbD7UoZw6NyJ/jfFzc3StxcDHF/q6jcSosf2tKIY0xViJuhpk1VHwNEVX+uqouBk9MTKxlBlu1qVZTpV43dqYPo7etnzcu7hqWfaDYXt+KyOg2ugJnWFyO8ooXX7hkh/A+jLpgulYm38+ofv97tG56UsR7E3RX2M/Ww0ZHXLFVqrdLPzwmmLwH45x+jDhgROyRXcXaLywlRSJJvJWoifuGcibErFMT1amqmJHk1LPNelu6JyLdFZIeIPOdrWywi3SKy0X2cXg0BsxZuFyc8LswgJpS3eRvXwNYiEquvRP2mPb19jTjGVIW4xod3RaQFeFFEviginwAOS1GuRATVYT4kYa6GMJLWTU5CFq2QRlXItL4YRo4wXUqIN9m+fPnGzMZ1lxNz/uiVJ4YaIOZOGcuyS09I9fNzgulLCZLMuzra28pKmN21oTt2vpWlK7eGGkNaxPFeikN7WyF2npOweW2a8916UGMjY7m6dwfw8YD2m1V1hvt4pBoCBm3Ups3oA1oDw65vuWBGrI3IsJwKv1tkbI4TvnTgiJbQ6xXTrxqrryTJo1FqjKmhoazuxDU+XA6MAr4EHAd8Frg4LaHKoXhnvVolZZLExib1tsiaFdKoGpnXl2YmzOvByCSmSyXwT1hmfvWHLLhvU2QYYj3juj1Zy63C8eiVJ3LLBTOGbDTccsGMRIaHqM9pgA0B05cSxJ13eV4E5STMXrpya2ixteKEd1F9bkCda0UlPvd0YOOi02LvBDdLHq4aGxnL0j1VfQLYlYZAxXgbtWkQtvz5xO8M3xxOkgw4LKdCcfuis46h0Bq9CNu7byD0ekHE6Stxc014hOl7A3vjBRIr54Oq/tR9+hucOKbMU408EKMKLYluUk6dZRlysxOCK34KzgCQZtxpg8a0Zp486kuzYIaHfGG6FE1xybw47tnivq/WY0GxrEGUWhhWq0Rg2Pwg7xsC5eiLiIwEngAOxJkT3q+qi0RkMnAPMBZ4Bvisqu4VkQOB7+AssH4JXKCq29xrXQ1cgpMk60uqurJa361aLJg3bVg/bCu08snjOnj8hZ2B86Wg86MW6lEGheKEd6Xmqt09vdxywQyuXL4Rf9BUC/CZORN5/IWdXLF8I0tXbo09x2uWPFy1NDKmMFZ9UUQ+B6wDrlLVYZkSReQy4DKAiRPjVUTpnOkkv6+2ETrM2Pb4Czu5vrP8ykNx/4f+Ph323TTiekk/3yNpWH7YGBM3R0yjEGl8EJHvE96nUNWzqy5RAqIW1ycdPY671m6v6Prv9A3wToKO2ts3wC0XzBgi00lHj+OB9d3DDBIXznFuFGnVWrY6zrUn6/piGHnBdCkeQROWUqj7vlqPA6VkjbPzWq0JWtgCNK87vxXqy3vAyar6GxEpAD8Rkf8ArsRx/b5HRL6BY1T4uvt3t6p+UEQ+DXwNuEBEPgJ8GjgGOAL4kYh8KGvlBuMsvL255RXLN3KEW63MM0y0jyqgSuSCP8qgUJxXIagv+vFi1FtbhYF+33sFlv/0NfrctqRzvM6ZHQ0/F6yFkTGlserrwHXuda8D/gH444Br3wrcCjBr1qzYCTtK9blqUqmhJ8n/0OvTkxeu+H/svX2YFOWZ7/+9Z2hwQMOAosERMoS4mLgqrKzgmbO7QqJmJSrRRJdgYvLzp7tns7vRuGyGE07ERNfJkqjZa8/uRqM/zcoSfJ2ouCGsSExYQcEBkSjHN0RHj5DAqIFB5uX+/VFVQ3VPPVVPdVd1V3d/P9fV13Q/9XZPd931PM/93C/GRd+4C9NJ3ithfUwNe+MFEuX58L2ySFEEUZPrSpWU8W5+r/NavmEXxjblcESuAT0H+vI6uraOtalZuurNipYRMqsvxI4RmcpNXddQlywodmBSiQFN2DVbLFdekxqg1eDKb9H6oqoKZ7UWAHLuS+Eky/uC2343gKVwJkUXuu8B4H4A/yQi4rb/RFU/APCaiLwM4AwATxUrW1Is6dyGFRvfwIAqGkWwYNYkrG8PzgUYNLZ8YHP3kLu6zaLOonOn4eqVW6xk844z7T+g6uSFGMifTg0q8o0R4BivkDIZGRPvq1T1He+9iNwO4NEkzx91zyVJgwjOvnkdXtq9f6jNy9Fj451dzG84emQj9h8ablgZPdI5rtCLyKPQU93mXhk3OmedEPYPJo816mateuOZCDU+qOovvPciMhLASXB+mx2qeihl2UKJmlxXylrkxef4laWntw9NuUbccun0vBsvTUtXvVnRskCW9YVEM0KAl29iVYssQF1yCJo03TD/cMxuseGF6p7bf65isQ3vM8na0txknAjanqOYAVotrfyWqi8i0ghgM4CPAfjfAF4B0KOq/e4ubwLwvqwWAG+41+0XkXcBHO22b/Cd1n9MxVjSuS3PC3ZAdehz0P0flScgaNu1924d8pLw7v84E7swV/iwpJdBcIx3mHIYGdPoq0Rkoqp6yQQ+C+D5sP2zzIBqnuEBANa/shdn37wOb+47GGnIK+Y3PBBgePDaN72+N9DwcNnsyZj5kfGx75V5p04M9LJvAIZdZ/0re439buvRwX1bYY6YWsEq54OIzAPwr3A6JAEwRUT+XFX/I03hwoiaXCeR86EYFj+4DUfkGqy8DtK0dGXNilZP+SeyqC8kGhoeskc965LNpCloVSjXKBgzcgTe7e1z+6Lg8pphEzBb4oT3JbEKWWvhEklTrL64oRHTRaQZwEMAPh60m3cZwzZTe5CcsWPVi8UUfnvPhl3D7v3Orm7juDFsPOmFUvjv/7iYQoXnnDQBT7y4x3o8W6srpcVSLiNjsbonIisAnAXgGBF5E8B1AM4Skelw9GcngD9PWt5KV/YpNEgAZs+duL9h2PxnxcY3Ao9ZsfGNonJTmLzsTUWtvesU8l+vBOccNbVXO7bVLr4PYI6qnqWqfwJgDoBb0hMrmqgMxJUoKQM4ymNywSk0mJhKtMQp3WIiS9mM6y2LKzKoL8RhZ0ewgcHUTipO3epS2CDJI6jM9LLPnYYt152D1zrmYfyYUUVdw5Y42eSDZI2T9Typc9Q4JemLqvYAWAdgNoBmEfEWqE4A8Jb7/k0AkwDA3T4WTrb+ofaAYwqvc5uqzlTVmRMmlD7eKYUlndswdfFjaG1flYgberHVFExZ8x/d+rb1eJaGuIpSlO6p6gJVnaiqOVU9QVXvUNUvquopqnqqql7g84JIjKx6yCQhV9j8pzDnioepPYq48pquY7p6cVJlHyvPBwC7VfVl3+dXAexOQR5rolZAvMHItfduDfyxG0Wsbjbb/WwoNJiYLGZh+So6u7px/SPbhwwczU05LL3g5EBLIZCNmNY6zD+ROX0hh6GhoaqoW12yHSSFrQpFDYxK7dtM5zet0iaxCllL4RIpEFtfRGQCgD5V7RGRJgCfgpNE8gkAn4NT8eJyAD91D3nY/fyUu32tqqqIPAzg30XkZjgJJ08E8HRi/1kKFHoXJUWYl4KpbKYpa35Pb59VJv9GERriKktV9VWV8g6PIgnPnbD5T9icsBjifo/FXGdK+6rYc7ise5vbGh+2i8hjAO6FY4j5PIBnROQiAFDVB1OSz4jN5Hr+jBZcY7BkD6oay2AW7heX5qYcPugfjHQNjZuXobOrG4vu35qXeKintw+L7tsKYLiba1YGaXWYfyJz+kJIlVLVulTpAYDNwKitY21Rci3p3GbsP/3lPP15K4L2K8yFREqiGH2ZCOBuN+9DA4B7VfVREfk1gJ+IyA0AugDc4e5/B4B/cxNK7oVT4QKqul1E7gXwawD9AL6atUoXhaRheADCF60+c9rEos7pT2YetPBGw0PFqaq+Kk5S1DQ47qiReO/gQGohdKb5z4JZkwL1fsGsScPabIhbWfGjE0YHto8a0YAP+oODNfwe40B0NZtqqHZoa3w4AsA7AP7E/bwHTu3n8+F8LxVRKpvJtWnw1WDp0RA1eMs1Sp4xoCnXiKUXnAwg2usgTl6Gzq5uo8Wub1CH3PyyaOnKWv6JMhBbX0RkEpza6R+GEy52m6r+QETGA1gJoBVO7N8lqrrPzS7+AwDnATgA4Muq+myK/1Pm+djiVej3qQcTSNYEmex7bMjCAMCmpFoxckWtGHvlPDe9vjdyP28AnIW+qgaIrS+q+hyAGQHtr8KpVlHYfhDOxGoYqnojgBuLlD0Vcg2AIe1JKjTlGkP1rdRKbFnyaiV5VFVfFTcpatKMaGzETRd9ouz3sZdvISyRcxxM4VImXt1zILC9KddoND542HqMV4O3uZXxQVW/krYgSRC0ymQafNm6m0ZatdQptVJYRhOIHkyFJRgq/L8WP7gtVGZvAJlFS1e9JQkrUl/6AVyrqs+KyFEANovIGgBfBvC4qnaISDuAdgDfAPCncNxaTwQwC04JtFlJyF+NtLavGtbWr45BggaI6qVa+p4gKjUAKOwHLz69xeh5UKxcNrki3urptc4pkaVBUTVTzfqSFhHj+ZIZnWvAuDGj8sad/tDYQkwenyJAkIoGeWlnxauVHIa6F4/unl4sW72jIoazG+afkkilJ8AcLmXC1A+/a3keG4/xavA2t6128Q8AbgDQC+BnAE4DcLWq3pOibLEwrTLddNEpuOmiU4YGY7YeDx5PvLgn1IWub1AxeuQIdH3rnNgy2+Z8CBrEBpFVS1e9WeqL0Rc3odDb7vv3ReQFOGXKLoSTCRlwaq2vg2N8uBDAj90a7RtEpLmgPFPdsPB2cxn5fntVJxmkGvoeE5UYABSG5nX39GLlM+GGh2LkSsJrsNhrEzPVrC9pMbYpF3uCYKJBgEHfrZ9rFPz9RacOG8ssfXi78Rwmj0+TSiWUcoykTFZ1r7Bc8+yPjsPO3/ZaPXNtQtOH9jUYz8LIwiJpZ1c3lj68fegZMW50DtedPzyPXtrY9pc2HuPV4G1uW+3iHFV9D8Bn4GQ0/j0Ai1KTqgiiVpnWt8/Fax3zYudw6O7pjRxodff0oq1jbezqDbaD01IGZlkZ1Pl/g/Xtc2vW8OBSkr6ISCscN9iNAI7zDAru32Pd3YZqrbsE1lQXkatEZJOIbNqzpzR3z6yyvkZLEREAVdD3mIiqyBSFKS1VWLqq6x/ZnhcGCAB9A4oGixxXcQYmNkmzFp07zTq5ViUGRZ1d3WjrWIsp7auK6r8zStXqS1oUmUcuEFUMqywTNJYJW8U0VTMz6UqxifBI2cmc7nnhcd4cZkAV61/ZO1R5LoyW5ibccul0XDY7uhSuoHgjWbHVYaKweb53dnVj0X1b84yT+w70YdH9W637g3GjgxPIxqV/IHqB2dZjPEvVDk3YGh+8b/c8ACtUNXOjfduJfFqDnGLKR44wfPuF7TYymzqoLFm66oii9UVEjgTwAByL+Xthuwa0DXv8Z6mkGSFFkPm+x0SpA4CFhkGfqR2A0dV7UBFaqi/uwOSYI8MHXEc0CubPaIncz6Pcg6IaLv9ctfoSRbHGIpNOFIMCWN8+F7dcOh0AcM3KLYGyhI27TB6vSZcAJGUnc7pXbCnlluamoUXCG+afEmmAKPUOTXqR1Pb5vmz1DvQNDpe+b0CtDSLzTi0ugWwh77x/yLgtblnpaihJbWt8eEREXgQwE8Djbmmmg+mJFR/bVSbbesnFENeCZ0qCVNi+6NxpkT/UglmTMm/pqiOK0hcRycExPCz3ZUZ+R0Qmutsn4nDpJuua6oRUMZnve0yUOgDwBn1+w7LAydA/dfFjWNK5LZY8flmam3IYNzpX9MAkbKAEAAdd74uo/QTArRWodhHmKVnlVK2+hFGssSiujtjKsuj+rXmyFK6Uho27TBOtFsMY1tROMkfmdK8Yw5U3b/Ab+554cQ9uvXR6qNddKSS9SGr7fA8zetgaREpNIGtDMR7jWfc2t0042S4i3wXwnqoOiMh+ODHnmcE2qWFQ/oEka92mEeaw6fW9iMqZdMP8UzDzI+MTzatQ6TJx1Uox+uJWr7gDwAuqerNvk1dTvQPDa63/lYj8BE6iyXfrJd9D4X154rFj8NLu/YH72rgMkuxSpC7dCcf1dbeq/r7bVpGqMaUmhvMSY3nus95QckB1KFmxbeKsrCWp29lRuUSw1ZCQqxiqYaxWDHGTtxbGcSeJKbTp+ke25yUbNyWdNE206i0xd62RRd0Ly1dXuN+g6tA4H0BgDr0k86d4pHGPx/GEN83/bA0i5egzWttXlVyVI2uEGh9EZK6qrvXq1Lpt/l2MpWPilg4s9h/wCEtqGDSJXt8+F0B4CctiGNuUTPyPHxvXKa+memFHXKwBIQtl4qqNUvQFQBuALwLYJiJe/aP/CcfocK+IXAFgFw6XOHsMzoTpZTiTprrItLykcxuW+yZh3T29aMo1BhogLps9uWYe1PVGibp0F4B/gtP/eLSjDFVjkjTY+s9l6p1WbHwj7x4vTIjnbyeHqYaEXHEoUV8yTxxjUeHYJUlaQiYrhYaG684/GYvu25rn1p1rEONEq94Sc9cKWda9BbMmhVfrgzP5L/R8a+tYG2jsOyLXMKyUrKnPCcNLZNnS3IQ5J03AstU7cM3KLYnd882jc4GGv+aC/AyLzp02TEcBJ5GsrUEk6QVsE8UsOGSZKM+HPwawFofr1ErB3zClils6sGRMk2/TJBpAZAnLMIIywe4/1D9kCEgKG/n8VnePoImarQGhGurEZpCi9UVVfwVzLrlPBuyvAL5aorxVRWdXd9797NHbN4ADhwYrupJKEqcUXXrSTdrqJ/WqMUkabG0nUIV9wxdmTQ4cbH5hVrIeQEc0ylBohYlTr/sZRkhwxZkRFTaG1OAqcyljtcwTx1hkWx2sGBadOw1Xr9wSvaNH4X1OI2Atklnd8yappmoXpsm+ydjXc6APC2dPzjvfiEbBBzHr2d7ihtqltchpWznGu0Yp1S5iPxNKpHDBoVqJMj68LyJfB/A8DisTYJFfpIjSgakQFftTUicVYH3wEpWUe4JeaOULm6jZyBe20sBwDCNF6wuJZtnqHcYvstrdpckwktalvKoxIhJVNSa28SFJg63tBKpRZNjzuG3qeGx4dd/Q4NBz1bR9btvsF2V4AID3PjDLX+kSuDW4ylzTfU8cY1HafUGzwfW8ucDrddnqHYHhGWGhIvQ2rUoyrXte6F4cTMa+5tE5PLC5O696xkDMh3lLc1Pe8zeNRU5TtZmg9qyFI0ZRKwloo4wPR7p/pwH4Qzjx5gLHwvek7UXCSgf6BoGFx1wF4CoAmDy5+FWbNGM7TfdAFiZCYRO1bteAEKZwpodPU66BHaSZRPSF5LPw9qciy2lWq7s0MVIuXbKqGgNE90km18tiXDJtj1HVvFWX7p5e7N1/CN+/JL8EoO3Epp4mQNU26IygpvueOMaiNN2gl63egc+cNjHQu+gzp+VnvY879qS3adVSc7pnMvapxluwLQzR8BsMO7u6jXpa6hyqnGF15U5SXCuld0OND6p6PQCIyM8B/IGqvu9+XgrgPpsLFJYOFMsvTlVvA3AbAMycOTNwMGizQhN1E5bSSZmSuSR9g4fFGXoInDALzx0qiqgBpSkW6kBAiQ52kA5J6AvJ5+yb1xmTSXoIyl+qj6RLCrr0jhdOUWzVmKg+ydQfRA0WCvsxm3rfHkHOrkHPY9uJjWm/pQ8PD+srlbaOtdXubZAZ6qHvsTUWpekG3d3Ta8xuX9huG3fuUatJUGudrOteMZ7KJmPfNTH0qrkph6UXnGzMw+cPfy+k1Nx55Qyri6ufpSZBXzBrUvROyJ8PZjFZpW2pzckA/DWzDsFJGBlKzNKBsbAtvRRWa72UsptNuUbM/ui4wG1zTppgdY5xhk6osH30yOifSeGUYLN1yYkqKzZ/RguOPMKqGAoAdpAFFKUvJB9bw8PC2ZM5galdktIlr2oMMLxqzJfEYTZKqBpjevaGPZOD+rGo8pQ2FD6PbSc2JiN3T29fXt/6oVHR/WbUPrblEkks6r7vSbMvaBSx1iXbuHMP23LxJLNkTveKLVELBJdqNBnOCsk1CJZecLKx3GNUWGGpi/ullrmOg+13AjjJOWd+ZHzgNtN80KNRxDqJulcdyx8ec8+GXamUHi4W29nlvwF4WkQegjPP/SycfA1GiigdGAvblRwbd70oK7mXkfWJF/fkncM0ebet+3rd+Sdj0f1b8+ICc42C684/OW+/qAlYsUQZDHoCrPYm4nSQdZAzIra+kHwW3v5U5H3fUpv3DsmnmL5nBZy8QseIyJsArkMZqsaYPNRaAp6N3jMwLfdwRX55riTcUP196/5D4QnGPjSqEc9d/2m0dawN/R/pNZc47HtSZEDVqOeFuhQn7hyoySSo9UbmdK+YErVhY3OT4awp14DxY0ZZj+mTnHuYKFdYXZwUDIMK43dvOk9zUw5brjsnlkymColZSlZpZXxQ1RtF5D8A/JHb9BVV7Yo4LG7pwFjEcVELuwnnz2gJNT4IMFSWsxCTC5KtF0Clk15FDTxta/qGlY8qpB5iiovUF+KypHNbZI4HwKyXpHYoRpdUdYFhU6pVY2wnD2mWAizEW/Fomzoee/cfKmli4+/Xwrw5/FVngr6TsPOS0mDf4yASb1Jgi2fwttHzuAa/So8HSWlkUfdKKVEbNDY3Gc4O9g3GGo9F5WWpJm8f03diwvSbxDVWhlGMF2a5sfarV9VnATwbY/9YpQPjkmRCEVOsbtT5wjLCtnWszXQHEjXw7Ozqxv5D/YHbCot8xCmyUy9JleLqC3Hw3MWiaJsa7LpGao9q0aX5M1qw6fW9eXGWF58+3PCdZilAExte3YfvX3JaSRMbf18Y1me2tq/CiceOwZqvn5U3oTINNqtpoFkNVIu+pEVnVzeaRjQE5qcqlTknTbA2EhTjyVBjSVDrjqzpXqklagvH5knNu8KM0tXm7RM3wa3puzIt9paa/yKr2OZ8yBymvAq2+Rb8mHI3AOGJ7IJyRuQaBb872G8VY1VKPFYxNAis45+CykR5FLYODCquf2S7lQxMqkTCMLmL+Tnx2DFYfuWZZZCGEHs6u7qHlSF7YHP3sOd5JZ51A6rG+Fs/Jx47xngOf18Y1mcCTqjg2TevAwDct2lX6OCsmD6b1D6dXd1o61iLKe2r0Nax1mpc1NnVjUX3b03F8AAcDqm10aVyxp0TEkRYzrtCbMbmcc4Xhl83gMNJmatRR1qPtje8hH1X7x8M9nAwtVc79hkFM4ZtxmEbdv42WOmam3KhShBkAd//Qf8w65VpZb/cXgCDmu8SG0bcWOSgrM5BlLMEDqkeTvrmYzhoMHb58VZUCckats/zBgEsbvVEsS3PdSAil4OHqc/089Lu/VZlcovps0ltU2x45vWPbDcumthy4rFjjPmG4hoO6clAKkkSJWr9Y/MkQ4NqRTc2vLovdHujCAZVI78r02Or3GOFclG1xockV9Djj/xW9QAAIABJREFUxuD4KVSgKe2rrK+RZS+AMLfaUmBSJeJnSvuqYZ40JtqmjqfHA8ksts/zSgwmbMtzhfU9fiOKbR9lk7slC/0dyRZxFmb8SfKSUK2Xdu/HqBEN+KB/uCGOiySk2ohTotZmbB50vjpIIm8kap40qIrXLBd964mqNT4kuYKexLk85TPdhkHnyrIXQFzDQ9S6mv/hNLYphyNyDeg50Fd3DypymDiGB9sSQ4RUiqw+z+PoTlj8qt9IEDfONYxajWklxWNryEsreesH/YNoyjVykYTUDcV6NdRDEvkwohZq0+z/kzL6VMJ4VLU5H5KKPUriXP7cDUGYzmV73VEjkvuZbPNJRNWcLSRsEtnZ1Y1r79s6lNuip7cP7x3sxy2XTjfGS5LaZuHtT1kZHuLUNiakkiTZJyVJHN0Jk7Wx4bCJ2SZPQ1j+CD/7D/WnlueIVCemAbvX7uWDuHrlltSStzJfA6k3bHKZFBLmpRRGMTldsshHJ4w2bovT/5v6S1N7WM7AD41qDDwmqL3cuQc9qtb4kGQyn1LPFZa9XIDAjOdxrvvdi09FQ4hrQaPYx/RGPRA84kZcBNWy9/jmQ9swMJh/woFBxTcf2hbvIqQmsIkD93jlpvNoeCBVge3z3HZSngRh/UYQYX1ev+8ZHpWnwcvNYlOVpm9ArfslUh+EJRSPWuxJimImYoTUG8WEjwdNeK9euQXTr/951RkhXt1zwLgtzjxyz/uHYrWHGX32G3I3BbUXazwqlaoNuwCSTVhSyrnClEwRPlCzua5Xws1UgnBQAbV0YLeNr41TW7axQUKte/sPBRtmTO1RFE5emQugemg15EQJ4ojGmDMnQiqMzfN8zdfPiqUHpTCYUn4JUz8iQF586/Irz7QyNjLvA/ETllD8iRf3pF6qlqWcCbGjmHBD04JtT29f1YVshIVcxPkfgspshrWHGX1MEgXJWqncg1Xr+ZAlomJWS/0RvRJuJo5vbkLO8pe0jT+KE4c7MKjY9LrdSnapBA1k17+yFwtvf6os1yfFE9fw8OKN56UoDSG1j61HXFyi3OL9LL/yTOzsmIedHfOMHnKVzotBskXYgDjtQTFLORNiTzHhhmE6XI5V9yQx9bACYEnnNkxd/Bha21dh6uLHsKSzOG/voNCUsD7Y1O8HtZvO0yAy7LpJhsrQ+JAAUeO7UgdWYWEdnpLblLUWhMf05u0bc8y6YuMb8Q4oEtMKmq0bP6kMs25cY7WfwCkHS8MDIaVjW+XCj2lQ4G+PM+D0D1j2f9CPXIFHUxbyYpBsETawTttQ9ea+g1Xn+k1IpSgmbD1Kh6vJE270yOD8Co0Ngns27BryNhhQxT0bdhkNEGMM5wEQmIshrA+e/dFxgecJajeFuA2o5l13See2RHND0PiQAD0HzCEKSQyswhQxTkyRwt4NKOx/CiKNspykNph14xq8Y4hbK4QliUitc/bN61K/hk2iVtMqhulJ7m+3HXAWxvb29PYB6iQ0ZiI/YiJsYG2T7LQUqm3llZBKEzc/SpB++6kmT7gDhvDxfkPMo2mhNtcYPR33P5vC+uCdvw2eMwa1R+Vv8q67YuMbieaGqOqcD1nBFPPUKJLIwMp0/pbmpljnDksKaXvNcuEv/dI8OgfVeHkogs7Dsp7lp7Or29rwcNnsySlLQ0jl8J5FaT9Xb710eknl0WxjeG3yWwR57fUNKkaPHIGub50T+b+Q+iSs7F85DAPVtPJKSLXh6ff1j2zHvoKFzmrzhIs7VzIt1NrOb/zPJlMfHCePg+2zziR3sc9Kej4kgMlK//1LTktkomvj4moqreInzopB2qsLYRSulu070Iee3j7LlJrm85SrhAxx6OzqxqL7tlrte+KxY1jVgtQsSWboj6pgYfOMC8twnWTJ0EolsyLVj2k1tRz3TjWtvBJSjcyf0YKub52DWy+dXtUlbU39pambNuVjsH3m2OwXJyeT7XVLlbsQGh8SIMmyn8We/70PorM/27jXFLNv0oTluDARpBiVKiFDHJat3oE+i3T7l82ejDVfPyt9gQipEMU800yMGtGA0SEZhm2ecWFGgST7sziDIEL8mMKCkrx3GgSJGdoIIfGp9pK282e04OLTW4bmII0iuPj0Fiw0ePKa8jBFhaIA9s+mOAsIttddMGtSos9Khl0kRJJlP9M6f5wVg0quTBVz7SyVkKl34lS12MkcD6QOSPKZc7BvEGObcjgQkmU46npRoRVJ9WeLzp2Ga+/bigGfETKqNDMhprCgTa/vxW9+90Fi1/nCrMmY+ZHxDM0khBSFV43Qn1jygc3duOkix5N3xcY3MKCKRhEsmDXJ6OEbFGo256QJeOLFPbGfTWFha6VcN8lnJY0PdUScFYNScz74cy3EpZhrB+WzMJ3HKyHjKc99m3blVctomzqepbaKJI7h4cRjx6QoCSGVx3sOJpmO1+b5GPWsX3TutLzJHZDOiu+m1/fmGR6Aw6WZOcEjJkxei/ds2JXodbyJAO9FQkgxhHlYr2+fGyucOMlF7Djnst03SfkYdlEjtE0dH7o97sCy9eh4ro1H+MqnFeZaiIuNG1AhQfKazuMvIXP1yi3DynSuf2UvFt7+VKzrk3iGh+OOGslQC1KTeO7ire2rcM3KLYknmIx6jts869MOFfQwZfYuV2lmUp2UwzsxTgJuQtJCRO4Ukd0i8ryvbbyIrBGRl9y/wbUTScWhh3Vx0POhRlh+5ZlYePtTeRPpUSMacKh/sCj3mA2v7ot1/YMDh80MpcY3F7oB+atdmIwZQfIWnqdBxLokaKFBgoTzscV2hodxo3O47vyTudJEapJCd/GkCxC3TR2P+TNacPXKLcZ9bI0IaYcKAuYM2SzNTMJIu9oW8zqQDHEXgH8C8GNfWzuAx1W1Q0Ta3c/fqIBsJALb6lBpkFQ1P9vzLOncZh1GEgWNDzVEkqECpQwOk7D4mQbGptV1k7z+80yJsTJP7Jl14xr0W9wuzO9Aap0kE0sWMjrXgM/PrK5ytI0Gg68pczYpPyIyCc7E58MABgHcpqo/EJHxAFYCaAWwE8AlqrpPRATADwCcB+AAgC+r6rPuuS4HsMQ99Q2qencxMgWFBSUFDeAkS6jqkyLSWtB8IYCz3Pd3A1gHGh8ySblCGAsJK5cd59lme54lndvywt4GVIc+F2OAYNgFCaSUwWEci9/UxY9hSec26/1NctnIywzryXPqdT/DO+8fqrQYhGSCpF0t/U+1A32DQ2U0R40wd91ZKidsyuxtaicVoR/Atar6cQCzAXxVRD6Bw6uvJwJ43P0MAH8K4ET3dRWAfwEcV3EA1wGYBeAMANcV6y7uDwsqlkYRtE0dnxdadOul09H1rXNoeCBZ5zhVfRsA3L/HVlgeYqBcIYyFJFXNz/Y8SYdQ0vOBBHLMkblYk8oPjTqcWyHOqkVc69mYkQ2BZUXHjIy2o805aYJ1wqqoHBokXo4HrnOSeqAp1xBahSIOguFhG96g4LsXn4qv37sFQZVsvX2yMMHynulJuWqS5HEnN95E530ReQFAC8yrrxcC+LGqKoANItIsIhPdfdeo6l4AEJE1AD4NYEUxcnlei5/4X/9RlE4NqOLZXe+WZSJASCUQkavgGAAxeXJ1ecXVEuUIYSwkqVwTtudJOoSSxgcSSNzV7P2HDg8OCnMt2NyaKza+YTUgDTI8hLX7eeLFPYHto0Y04IP+w/Kz2kU0tjkeAGcS9RpDLkgd0NufjOGhJSTm/a2e3qFnrCn3Q5aSXd0w/xQaG6oE1/17BoCNKFh9FRFv9bUFgH+56023zdQedB3rSVMpxrwsGeIIicE7IjLR1buJAHYH7aSqtwG4DQBmzpzJRDp1RFSuCdv8DLY5K5IOoWTYBUmEwpty/owWrG+faz3pLEcCMtOA/FD/IHZ2zBt6VcrwECfrsTj8o4i8LCLPicgflEvOhbc/ZZXjAQBuvXQ6DQ+kbkjqMTbnpAlGl3NvUDB/RkvkPoTYIiJHAngAwNWq+l7YrgFtGtI+vFH1NlWdqaozJ0yYEF/YGGTJEEeIJQ8DuNx9fzmAn1ZQFpJBgqr5ebkmvPwM3rzK8zAPCnEPO4+fpEMoaXwgiVBqArHC471ydVPaV6GtY23RMcz+8zQYZBzblEvkWglwFxw3VT+x4m7TprV9lXUlkOOOGskVJ1JXJJVIccXGN6wGBbYDB0LCEJEcHMPDclV90G1+x111RcHq65sA/CPOEwC8FdJeUWiII1lGRFYAeArANBF5U0SuANAB4GwReQnA2e5nQoYIyzURJz+Dbc6KG+afgstmTx4a4zSK4LLZk1ntgiRL29TxscpNhlm/gmKXw44Py7563FEjA0NCjjtq5LC2wvMEeVfkGgT7D/Wjp7dv2LXKPXGOmfU4MO7Wc5NNgzg5Ho47aiQ2fvPstEQhJJMsmDXJOq9MGAOqw8LXgkpg2exDSBhu9Yo7ALygqjf7Nnmrrx3IX319GMBfichP4CSXfNd1D18N4O99SSbPAbC4GJn8pd9KgYY4knVUdYFh0yfLKgipOky5JuLmZ7DNWZFkCCWNDySQ5VeeiYW3PzXMANHS3ITWo5uw4dV91gnEGgyxQgACjw/LvjqisbHwFAAQ2G4qe9cogkFVHN/chAOH+rHvQF/gtTIygI8bd5tnfEgqIVEcb5APjWqk4YHUJYUJFovFW12wGRRUItkVqSnaAHwRwDYR8ZKI/E84Rod73ZXYXQA+7257DE6ZzZfhlNr8CgCo6l4R+Q6AZ9z9vu0ln4xD4aJBsbTQEEcIqUPSKHHtNwgnschB4wMxYsp90NnVjZ2/7cVbPb348NgjMPMj4ZUhwgbhr9x03rC2YrK4Bm0z7T+oOpSHYIphNb8K4kSt4muTSEhEjwdC7PFWB+LoTSEsRUnKhar+CuaCRMNWX11vu68aznUngDtLkce0aBCHUSMasL59bknnIISQasTkgVnsuCLMG71YAwRzPpBYeDdht1vFwrsJw1bGTaMaU7spRvP45iY0j84Fbgtqt9k37FoZIW7cbaLYTqDapo7Hzo55NDwQUiKlxFESUu0kYfj/IKGqM4QQUm0knZ8hzBu9WGh8ILEo5iYcPTI4VMLUHpZEzeREEdRus28VJGwzZT1+GMCX3KoXs+HG3SZ54TgrtyxNSkhp5BoFt146nYYHUtdkyPBPCCFVyQ3zT8ErN52HnR3z8MpN55U0rijGGz0KGh9ILIq5CQ8cCnahNLWHZV99t7cv8Jigdpt9bTO9loOYWY8fA/AqnLjb2wH8ZZKymMJRgtjJUpqE5FFMxZxL/3AS49NJ3ZMhwz8hhNQ9aXiIp5bzQUTuBPAZALtV9ffdtvEAVgJoBbATwCWqui8tGUgy+BONmJJHht2Exzc3oTvAOKEA2jrWBiYuMSVRM50r6Pq2+2YlYVucrMdhcbelMqV9VWR1Eg8aHkg1ISI7AbwPYABAv6rOTLpf6uzqxqL7tsY+7tGtb9PrgdQ982e0YPGDz6G3j6EThBBiQ5IJIQvPNeekCXhgc3ee13upHuJpej7cBeDTBW3tAB5X1RMBPO5+JhmmMMdDkOEh6iYMCm3wsMkZEXUu0/WrIKQic8QxPBBSpcxR1emqOtP9nGi/tGz1DvQNxteiHoOnFiH1xsESDQ/jDPmeCCGk1igmF1+ccz2wuRsXn96SqId4ap4PqvqkiLQWNF8I4Cz3/d0A1gH4RloykNKxKVcZZWHz16IP8kSIU9oyTl37OPsS56ETZ8pErwdSIyTSL3mrBUHPOEKIPSavRRtyjYLrzj85YYkIISSbhOXiizvfMZ3riRf3JFpBqNylNo/zkuKp6tsicqxpRxG5CsBVADB58uQyiUcKsSlXaYMX2mBaWY+TuCROmERWQiqyzqnX/QzvfWBX3oxGB1LFKICfi4gC+KFbita6XzJRWIqqGLhaS4jDonOnReqTYHht6RYuMBBC6owkE0KmkVwyiHIbH6xxB4W3AcDMmTPpCV4hxjblAt2Bi000EidnAykPJ33zMRwcsFOxWy+dnrI0hKRKm6q+5RoY1ojIi7YHhhnETR5itjQIuFpLiItnPDDlfhgzshE3frYyiaEJISQJksrTkOS8qlxztHJXu3hHRCYCgPt3d5mvT2LQ2dWN/Yf6h7XnGqTovAnMw5AtOru6YxkeONgj1YyqvuX+3Q3gIQBnwLJfUtXbVHWmqs6cMGFC3raoVYExhrLCHoMKbHp9r+V/QUh9YMr90Dx6JPsiQkjVkmSehiTnVeWao5Xb+PAwgMvd95cD+GmZr09isGz1DvQFTEyPPGJE0R1/lkpbEuc3jkLghFrwNyLVjIiMEZGjvPcAzgHwPBLol0yrAi3NTdjZMQ/bv12Ye3k4Kza+EfeyhNQsy1bvMOYgStoFmBBCyklYnoa4JDmvKtccLc1SmyvgJPE6RkTeBHAdgA4A94rIFQB2Afh8WtcnpWPq4HsOlJaVnXkYskPUII7eDqSGOA7AQyICOH3fv6vqz0TkGZTYLwXFqMddLQiqJERIvRLWNzFMkxBSzSSdWyHJeVU55mhpVrtYYNj0ybSuSZKF+Rlqn7Cs4h8a1UjDA6kZVPVVAKcFtP8WJfZLNpV12qaOx/pXzKEVjY5RhBACc98kAMM0CSFVTb3Pr8oddkGqCOZnqH2CfmMAOKJR8Nz10a7ihBCH+TNasL59Ll7rmIf17XOHGe6WX3km2qaONx6/YNaktEUkpGoI6psEwMLZk2kUJ4RUNfU+v8pstQtSeWxW80h1w9+YkPKx/MozAQBLOrdhxcY3MKCKRhEsmDUJN8w/pcLSEZId2DcRQmqVen++0fhAQmF+htqHvzEh5eWG+afQ2EBIBOybCCG1Sj0/3xh2QQghhBBCCCGEkFSh8YEQQgghhBBCCCGpIloF5b1EZA+A1xM63TEAfpPQuZKEcsWn3LJ9RFUnlPF6iZKwHgHZvTcoVzyoRzGhLlUcyuVAXcqH90U8KNdhqlqX2CdVHMrlYKVHVWF8SBIR2aSqMystRyGUKz5Zlq0eyOr3T7nikVW56oms/gaUKx5ZlateyOr3T7nikVW56oms/gaUKx5ZlYthF4QQQgghhBBCCEkVGh8IIYQQQgghhBCSKvVofLit0gIYoFzxybJs9UBWv3/KFY+sylVPZPU3oFzxyKpc9UJWv3/KFY+sylVPZPU3oFzxyKRcdZfzgRBCCCGEEEIIIeWlHj0fCCGEEEIIIYQQUkZofCCEEEIIIYQQQkiq1JzxQUTuFJHdIvK8r228iKwRkZfcv+PcdhGRfxSRl0XkORH5gxTlmiQiT4jICyKyXUS+lgXZROQIEXlaRLa6cl3vtk8RkY2uXCtFZKTbPsr9/LK7vTUNuXzyNYpIl4g8miW56oEs6hL1qGj5qEcVIot65F6LulScfNSlCkFdii1XZnWJelQ5qEex5cqsHrnXqzpdqjnjA4C7AHy6oK0dwOOqeiKAx93PAPCnAE50X1cB+JcU5eoHcK2qfhzAbABfFZFPZEC2DwDMVdXTAEwH8GkRmQ3guwBuceXaB+AKd/8rAOxT1Y8BuMXdL02+BuAF3+esyFUP3IXs6RL1qDioR5XjLmRPjwDqUrFQlyrHXaAuxSHLukQ9qhx3gXoUhyzrEVCNuqSqNfcC0Arged/nHQAmuu8nAtjhvv8hgAVB+5VBxp8CODtLsgEYDeBZALMA/AbACLf9TACr3ferAZzpvh/h7icpyXMCnAfNXACPApAsyFVPr6zrEvXISh7qUYVfWdcj91rUpWh5qEsVflGXipYpM7pEPar8i3pUtEyZ0SP3/FWpS7Xo+RDEcar6NgC4f49121sAvOHb7023LVVcV5cZADZmQTbXZWcLgN0A1gB4BUCPqvYHXHtILnf7uwCOTkMuALcC+DsAg+7nozMiVz1T8fvVg3pkDfUoe1T8fvVDXbKGupQ9Kn6/+qEuWUE9yh4Vv1f9UI+sqUpdqhfjgwkJaEu19qiIHAngAQBXq+p7YbsGtKUim6oOqOp0OBa0MwB8POTaZZFLRD4DYLeqbvY3V1ouYqSs3z/1yA7qUdXBPgnUJZII1CVkT5eoR1UH9QjZ0yOgunWpXowP74jIRABw/+52298EMMm33wkA3kpLCBHJwVGo5ar6YJZkAwBV7QGwDk6sVbOIjAi49pBc7vaxAPamIE4bgAtEZCeAn8BxKbo1A3LVOxW/X6lHsaAeZZNM3K/UpVhQl7JJJu5X6pI11KNskol7lXoUi6rVpXoxPjwM4HL3/eVw4oi89i+5GVNnA3jXc+1JGhERAHcAeEFVb86KbCIyQUSa3fdNAD4FJ3HJEwA+Z5DLk/dzANaqG0CUJKq6WFVPUNVWAH/mXmdhpeUiFb9fqUcxoB5lFvZJZrmoSyQO1CWzXJnTJepRZqEemeXKnB4BVa5LmlIyiUq9AKwA8DaAPjhWnivgxLQ8DuAl9+94d18B8L/hxO5sAzAzRbn+Oxz3lucAbHFf51VaNgCnAuhy5XoewLfc9o8CeBrAywDuAzDKbT/C/fyyu/2jZfhNzwLwaNbkqvVXFnWJelSSjNSjCryyqEfutahLxctIXarAi7oUW65M6xL1qDIv6lFsuTKtR+41q0qXxBWIEEIIIYQQQgghJBXqJeyCEEIIIYQQQgghFYLGB0IIIYQQQgghhKQKjQ+EEEIIIYQQQghJFRofCCGEEEIIIYQQkio0PhBCCCGEEEIIISRVaHwghFQlIrJURP5WRL4tIp8q4vizROTRNGRLGhGZLyKfqLQcpHYRkVYReb7SchBCohGRH0X1CSJyl4h8LqC9VUS+kJ50hGQTEVknIjMTOlfeuKzYsWg9QuMDIaSqUdVvqep/VlqOlJkPgMYHkklEZESlZbChWuQkJApV/X9V9ddFHt4KgMYHQiIQkcaQzXnjsjoZiyYCjQ9VjmvBftG1gj8vIstF5FMisl5EXhKRM9wV4n8TkbVu25XusQ0i8s8isl1EHhWRx4Ks5IRkBRH5pojsEJH/BDDNbRta3RGRDhH5tYg8JyLf823/VxH5pYj8HxH5TMB5zxCR/xKRLvevd+5GEfmeiGxzz/nXbvvpIvILEdksIqtFZKLbvk5EbhGRJ0XkBRH5QxF50NW7G3zXu0xEnhaRLSLyQ6+DE5HficiNIrJVRDaIyHEi8t8AXABgmbv/1FS/ZFLPNIrI7W6f8HMRaRKR6e69+JyIPCQi44Che/3vReQXAL4mIp93+6CtIvKku0+jiCwTkWfc4//cbT/L1ZGHXH39VxFpcLctcPXteRH5rtt2iYjc7L7/moi86r6fKiK/ct+H6eSQnOX9OgkJR0T+TkT+xn1/i4isdd9/UkTuEZFzROQpEXlWRO4TkSPd7UMruCJyhdu3rXP19598l/hjt0971Te+6wDwR25/ck0Z/11CrBCRTvdZvl1ErnLbPu3qwVYRedxtO1JE/j/fGO1itz1QbwquYdKtnSLyLbdv+byIXOn2YVtF5AERGR00LpP8segnxRlPbhORO0VklO/c17vX3CYiJ5XlC80aqspXFb/gWLD7AZwCx5i0GcCdAATAhQA6ASwFsBVAE4BjALwB4HgAnwPwmHvchwHsA/C5Sv9PfPEV9AJwOoBtAEYD+BCAlwH8LYC73Ht5PIAdAMTdv9n9exeAn7n3+YkA3gRwBICzADzq7vMhACPc958C8ID7/n8AeMC3bTyAHID/AjDBbbsUwJ3u+3UAvuu+/xqAtwBMBDDKve7RAD4O4BEAOXe/fwbwJfe9Ajjfff8PAJb4/gfqJl+pvXx9yXT3870ALgPwHIA/cdu+DeBW9/06AP/sO34bgBb3vad7V/nu4VEANgGY4ureQQAfBdAIYI2rw8cD2AVgAoARANbCWV36MIBn3PPcD+AZAC0ALgdwk4VO/nPS3xdffCXxAjAbwH3u+18CeNq9n68D8A0ATwIY427/BoBvue/XAZjp6sxOX9/0SwD/5O5zF4D74PR9nwDwstt+Fty+jy++svgCMN792wTgeQDHwZm7TCnY/l2vT3I/j4Mzz4nSm7B9dgL4O985j/a9vwHAX7vv74JvXIbDY9EjXFl/z23/MYCrfef2jv9LAD+q9HddiRddEGuD11R1GwCIyHYAj6uqisg2OAPKLQB+qqq9AHpF5AkAZwD473A6vUEA/9dtJySr/BGAh1T1AACIyMMF29+DM6H5kYisAuDP53Cve5+/5K6aFlqbxwK4W0ROhGMAyLntnwLwr6raDwCquldEfh/A7wNYIyKAM3l623cuT65tALar6tuuvK8CmARH704H8Ix7fBOA3e4xh3xybwZwtsX3QkhSvKaqW9z3mwFMhWNI+IXbdjecyYzHSt/79QDuEpF7ATzotp0D4FTfiutYOAbAQwCeVlXPg2EFHL3oA7BOVfe47csB/LGqdrorXEfB0aF/B/DHcJ4JD8LxggrTSb+chGSJzQBOd+/tDwA8C2dy9Edw+pJPAFjv3tcjATxVcPwZAH6hqnsBQETuA/B7vu2dbt/3axE5Ls1/hJAE+RsR+az7fhIcQ/aTqvoa4IzF3G2fAvBn3kGquk8c79YovZkdsY+/z/h9cTxXmwEcCWB1hOzT4PSl/8f9fDeArwK41f3s9Y+bAVwUca6ahMaH2uAD3/tB3+dBHP6NteAYheMdQUg1UXgfH96g2i8iZwD4JJzO6K8AzDUcV/j5OwCeUNXPikgrHOs44OhI4b4Cx6hwpkEUv/4V6uYI9/i7VXVxwLF96prEAQyAz2hSXvz36wCcwVYY+703qvoXIjILwDwAW0RkOpx7/a9VNW+wJiJnIX6f9BSAr8DxbvolgP8HwJkArgUwGeE6ud/QTkhFUdU+EdkJ597+LzieRnPgGP5eA7BGVReEnCJqHOfXaY75SOZx+4dPAThTVQ+IyDo43tvTgnZH8BjNRm/C9vH3GXcBmK+qW0Xky3A8h0LzcMkIAAAgAElEQVT/hYjtnk7W7RiPOR/qhwtF5AgRORqO4jwD4FcALhYn98NxiFYoQirJkwA+K04c+lEAzvdvdOP1xqrqYwCuBjDdt/nz7n0+FY6r946Cc48F0O2+/7Kv/ecA/kLcRHUi4oV2TBCRM922nIicHOP/eBzA50TkWO+cIvKRiGPeB3BUjGsQkgTvAtgnIn/kfv4igF8E7SgiU1V1o6p+C8Bv4KxWrQbwP0Qk5+7zeyIyxj3kDBGZIk6uh0vh9EcbAfyJiBwjTh6UBb7rPQknzOpJAF1wJmgfqOq7KF0nCakk/nv7lwD+Ao7H6gYAbSLyMQBwY81/r+DYp+HozDi3n7rY4nrsT0iWGQtgn2t4OAmOl8IoOPf5FGBoLAY4Y7S/8g4UJyeRjd7Y7ONxFIC33X5soa/dpEcvAmj1zo2QfrNeofGhfngawCo4CvcdVX0LTiz7m3DiqX4IZ+D3bsUkJCQEVX0WjivcFjj37i8LdjkKwKMi8hycB70/kdYOt+0/APyFqh4sOPYfANwkIuvhuGx7/AhODPpzIrIVwBdU9RCcuL7vum1bAPy3GP/HrwEsAfBzV9Y1cPJChPETAIvcBEZMOEnKyeVwkmo9B8eg923DfsvcBFrPw5lEbYWjP78G8Kzb/kMcXul5Ck7iu+fhrPA+5IYoLQbwhHv8s6r6U3f/X8IxaDypqgNwYmp/BQCl6iQhFeaXcPqAp1T1HTjhg790w4++DGCFq38bUBAyqKrdAP4ezvjtP+HoW9Q47jkA/W4CPSacJFnjZwBGuPf8d+Dc93vghF486D7jvbCIGwCMEzfZMYA5lnoTuY+P/wVHv9bAMSx4BI7L3PHlVwDc54a/DwL412K+iFpFDnv4klpFRJYC+J2qfi9g25Gq+jvXI+JpAG2q+n/LLSMhaSEid8FJrnV/pWUhhAy51f6tqg6rPEMIiYdvHDcCwENwkq0+VGm5CCEkiLqMNSF5PCoizXCSrXyHhgdCCCGEkKphqYh8Ck6W/Z/DqXJGCCGZhJ4PhBBCCCGEEEIISRXmfCCEEEIIIYQQQkiq0PhACCGEEEIIIYSQVKHxgRBCCCGEEEIIIalC4wMhhBBCCCGEEEJShcYHQgghhBBCCCGEpAqND4QQQgghhBBCCEkVGh8IIYQQQgghhBCSKjQ+EEIIIYQQQgghJFVofCCEEEIIIYQQQkiq0PhACCGEEEIIIYSQVKHxgRBCCCGEEEIIIalC4wMhhBBCCCGEEEJShcYHQgghhBBCCCGEpAqND4QQQgghhBBCCEkVGh8IIYQQQgghhBCSKiMqLYANxxxzjLa2tlZaDFLnbN68+TeqOqHSchQL9YhkgWrXI4C6RLIBdYmQZKh2XaIekSxgq0dVYXxobW3Fpk2bKi0GqXNE5PVKy1AK1COSBapdjwDqEskG1CVCkqHadYl6RLKArR4x7IIQQgghhBBCyoSITBKRJ0TkBRHZLiJfc9uXiki3iGxxX+dVWlZCkqQqPB8IIYQQQgghpEboB3Ctqj4rIkcB2Cwia9xtt6jq9yooGyGpUZfGh86ubixbvQNv9fTi+OYmLDp3GubPaKm0WIQQkmkKn52jRzbgpd37h7a3TR2P5VeeWUEJCakNOE4hWYT3ZXKo6tsA3nbfvy8iLwDI9JfJ358kQd2FXXR2dWPxg9vQ3dMLBdDd04vFD25DZ1d3pUUjhJDMEvTs9BseAGD9K3ux8PanKiMgITUCxykki/C+TA8RaQUwA8BGt+mvROQ5EblTRMYZjrlKRDaJyKY9e/akLiN/f5IUdWd8WLZ6B3r7BvLaevsGsGz1jgpJRAgh2Sfo2RnE+lf2lkEaQmoXjlNIFuF9mQ4iciSABwBcrarvAfgXAFMBTIfjGfH9oONU9TZVnamqMydMsCvU0dnVjbaOtZjSvgptHWtjGQ74+5OkqLuwi7d6emO1E0II4TOSkHLBcQrJIrwvk0dEcnAMD8tV9UEAUNV3fNtvB/BoEtfyPBc8A4LnuQDAKnSCvz9JirrzfDi+uSlWOyGEED4jCUmThbc/hdb2VWhtXwU17EMdJJWE4+dkEREBcAeAF1T1Zl/7RN9unwXwfBLXK9Vzgb8/SYq6Mz4sOncamnKNeW1NuUYsOndahSQihJBssqRzG6Yufgyt7avw9ru9Vh1G29TxqctFSC2x8PanIsOV0hyniMhOEdnmlvXb5LaNF5E1IvKS+3ec2y4i8o8i8rIbk/4HvvNc7u7/kohcnoqwpGJw/Jw4bQC+CGBuQVnNf3D18TkAcwBck8TFSvVc4O9PkqLuwi481yJmayWEEDNLOrfhng27hj4PusuxTbkGHOwbZLULQhIizPAgQLnGKXNU9Te+z+0AHlfVDhFpdz9/A8CfAjjRfc2CE58+S0TGA7gOwEwACqds4MOqui9NoUk4SVYn4Pg5WVT1V3BUvJDH0rje8c1N6A4wNNh6LvD3J0lRd8YHwFEgKgshhJhZsfGNwPZD/YrXOuaVWRpC6pMK6tqFAM5y398NYB0c48OFAH6sqgpgg4g0u27iZwFYo6p7AUBE1gD4NIAV5RWbeJQa4x9E4fjZS2BYzGSUZRvLy6Jzp+XdD0B8zwXOn0gS1KXxwYMPPkIICWZAgyPPTe2EEHv8448MoAB+LiIK4IeqehuA41T1bQBQ1bdF5Fh33xYAfsvkm26bqZ1UiLAY/yTGuqUYN9IwjHjn5bg+GHoukKxQ9caHYh80aT34CCEkayzp3IYVG9/AgCoaRbBg1iTcMP+Uoe1Bz9FGkUBDQ6MEeYkSQmwpHH+YKGP+lDZVfcs1MKwRkRdD9g16AGhI+/ATiFwF4CoAmDx5clxZiSWlxPjbjK1LMW6kYRjhuD4YGmRI1qjqhJPeg6a7pxcK50FzzcotaLWoX8t6tYSQesDL3eAZEgZUcc+GXVjS6QzKgp6jix/chtkfHRd4vgWzJpVLdEJqkqDxRyHlzJ+iqm+5f3cDeAjAGQDe8bLuu393u7u/CcD/EDgBwFsh7UHXu01VZ6rqzAkTJiT5rxAfxVYnMPUJhWPqUowbaZRt5Lh+OLa/JSHlpKqND0EPGs/MHqVgrFdLCKkHTLkbvHbTgG3nb3tx2ezJQ54OjSK4bPbkPI8JQkh8TOMMAbCzYx52dswrm+FBRMaIyFHeewDnwCnt9zAAr2LF5QB+6r5/GMCX3KoXswG864ZnrAZwjoiMcytjnOO2kQpRbHUC20l8KaUX0yjbyHH9cEy/5fWPbEdbx1pMsVisJSRpqjrsIuqBEubCVWrWV0IIqQaicjeEDdhumH8KjQ2EJIBNOc0KjT+OA/CQOEbGEQD+XVV/JiLPALhXRK4AsAvA5939HwNwHoCXARwA8BUAUNW9IvIdAM+4+33bSz5JKkOxMf62k/hSEhgmkfywEI7rh2P6Lfcd6MO+A30AGJ5Cyk9VGx/GNuXQ09sXuo9J8dJ48BFCSNaIyt3AARsh6WJjeKjU+ENVXwVwWkD7bwF8MqBdAXzVcK47AdyZtIykeIqpTmDbJ5SSwDCN5Icc1w/H9FsWkmQiUkKiqGrjQ9/AYOQ+pgE0s74SQuqBBbMm4Z4NuwLbAQ7YCEmbMMODABx/kEwRp08opfRi0mUbOa4fTtBvaaKew1NIealq48P+Q+HKFDWAZr1aQkit44VNmKpdcMBGSPLYltJ8rWNemSQixI5q7hM4rs8n6Lfc/0F/oNc4vR1Juahq40MYLVX0sCSEkDSJyt3AARshyWFbSpOQrOL1CZ4R7ZqVW7Bs9Y6SxtVJlHxk2cj4FPbvQc8nejuSclLVxodmQ86H5qYc1rfPrYBEhBBCCKlXOru6ce29W42JXv20TR1fBokIKY7CSWopiQmTOFeS8tQz1ezZQmqDqjY+LL3gZCy6byv6Bg938rkGwdILTq6gVIQQQgipN7zJka3hoVzlNEn9UoqnQFjJzbgT1STOlaQ89Q69HUklqWrjQ5rWO7p2EUIIIcSWoMmRn5bmJnplkrKxpHMblm/YBc8UFtdTwLbkpg1JnCtJeQghlaOqjQ9AOtY7unaRSiEijQA2AehW1c+IyBQAPwEwHsCzAL6oqodEZBSAHwM4HcBvAVyqqjsrJDZxKSypZ7u66Rk7/SWxGkVwzJE5vPP+oaG2E48dgwOHBo1G0SWd24yJJcsBjbakngmbBDGmmqSB6Znb2dWdZ3jwiOMpYCpnP7YpF1vOYko6F/5vzaNz2HeAiRIJqXYaKi1AFglz7SIkZb4G4AXf5+8CuEVVTwSwD8AVbvsVAPap6scA3OLuRypIoeEBcErsLbz9qdDjPGNn4cBsQDXP8AAAL+3ej+6eXigOG0U7u7oBOIaHezbsGnL5HlDFPRt2YUnnthL/Mzv8/0eQfITUOqZJUKMIbrroFBriSKKEPXOXrd4xzPDgYespYCpnb1PmvpBF505DU64xry3MIBf0v/3uYD8aGyRvv1yj0KhHSJVRl8aHzq5utHWsxZT2VWjrWDtscEzXLlIJROQEAPMA/Mj9LADmArjf3eVuAPPd9xe6n+Fu/6S7P6kQhYaHqHaPKFftMPxG0RUb3wjcx9SeNDTaknrHNMH6/iWn0fBAEifsmRs2XrX1FDCVs48qcx/E/BktuOmiU9DS3ASBE4IUZpAL+t/6BhUDgwUmlej0KsRH1PynVq9NskXVh13ExSakohj3MEIS4FYAfwfgKPfz0QB6VLXf/fwmAK+nbgHwBgCoar+IvOvu/xv/CUXkKgBXAcDkyZNTFZ4UR6lGTe94U5I7m+R3SZAVo62ITIITkvRhAIMAblPVH4jIeAArAbQC2AngElXd5xrtfgDgPAAHAHxZVZ8tq9Ck6ggLMWLoESkHYc9c0zhWgIp5CsQJk7b2zhhUJpy0JGr+k2bYJMPZiZ/UPR9EpFFEukTkUffzFBHZKCIvichKERmZtgx+bFbn4rqHEVIqIvIZALtVdbO/OWBXtdh2uEH1NlWdqaozJ0yYkICkJGlKNWp6xzcaHF9M7Ulj+j8qYLTtB3Ctqn4cwGwAXxWRTwBoB/C4G8L0uPsZAP4UwInu6yoA/1JugUl1EebuPn9GC9a3z8VrHfOwvn0uB9YkNcKeuUHjWAGwcPZk63uy2ZDbwdSeJHH6DXol2xE2/0k7bJKekcRPOcIubGPYy4LN6lxc9zBCEqANwAUishNOgsm5cDwhmkXE81A6AcBb7vs3AUwCAHf7WADh/v0kVdqmjo/V7hE0SLTFbxSd/dFxgfuY2pMmK0ZbVX3b81xQ1ffh9D8tyA9VKgxh+rE6bICjcxPLKjSpGpZ0bsPVK7dwIE0qTtgzN2gce8ul02MlIF56wcnIFeZYKFM5e5PxJAh6JdsRNv9J0zjQ2dUd6IUTJhOpbVINu/DFsN8I4Ou+GPYvuLvcDWApyrjSZBtSwRq4pJyo6mIAiwFARM4C8LequlBE7gPwOTgGicsB/NQ95GH381Pu9rWqZfKvJ4Esv/LMoqpd+F21S6l2sfO3wZ24qT1psuhyLiKtAGYA2AjgOFV9G3AMFCJyrLvbUAiTixfe9HbBuRjCVOd4SV1NcCBNyknUM7dw+7LVO7Dp9b144sU9Vs9om2d6Wq76Qdeec9IEPLC5O2+STK/kaKISkB7f3GR8dnX39KKtY23Rv6/nUWGChqP6JO2cD3Fi2MvConOn5cUdAU623P0f9GNK+6pMDJgJ8fENAD8RkRsAdAG4w22/A8C/icjLcDwe/qxC8hEfNmU1g/CMnf6B3IfHHmEc6AWRhZwLWTLaisiRAB4AcLWqvheSj9U6hAnAbQAwc+ZMGvrqkKjkrRxIk3IT9szt7OrGovu3om/AeVx19/TmGc9s4u4Lz+8lDXyrpxdjm3LYf6g/7/xJxvEH/W8zPzI+UwburFOYa6EQz3hTuPjhIcBQezG/b1hCbRqO6pfUjA/+GHZ3JRewHOS5xyeyyhRklb3polOG2ppH5/C7g/1DtYyZBIVUGlVdB2Cd+/5VAGcE7HMQwOfLKhhJFZtkUGHbmSj3MCKSg2N4WK6qD7rN74jIRNfrYSKA3W77UAiTiz+8iZAhwpK3ciBNsoB/zCsCFBaHKKS3bwDX3rsV16zcEjmZL+yDvHFz4fnSTACZJQN3NRA2+W8p+L0LjRSC4RO0uL9v2OIHw9nrlzRzPsSNYc8jiUR5pgQqm14/7Bb9Xm8/+gqezozdJISUm6iYy6jtWcm5UGnc8L47ALygqjf7NnmhSsDwEKYvicNsAO964RmE+MvDhcGBNKk0hWPeKMODx4CqVZJB27LQ/glnucsrspxjPqZcCwDyEuIG5Qgx3T5xvClNix8tzU18XtYxqRkfVHWxqp6gqq1wXMLXqupCAE/AiVEH8geAiWMarC/fsGvo4WxayWDsJiGknESFTURtZ6LcIdoAfBHAXBHZ4r7OA9AB4GwReQnA2e5nAHgMwKsAXgZwO4C/rIDMJIMUTuZMXBajggAhaWFrHAgjbPHNdlzsTTjTrqBQSLmvVw3EqYJVWKmnJYEKVlwUIUGknfMhCFMMe+KYHpQ2xuB6dFUmhFSOqLAJm7AKuqQCqvormBOjfzJgfwXw1VSFIlVHYfLYIBpFsGDWpFgVBAhJi6QWzUznMfVBfnINMjSxDPPW8/qpqISVcRJa2lyv3jAtsIaFkHkE5ciLazjIYiJqUnnKYnywiWFPA5sHZRC0yhFCyk1UR5/EQIAQEk2U4UEAvNYxr3wCEWJBsWPeoPMEMeekCaHVXgDkmX2jvPWWdG7D8g27hhYE4+Y5AvKNE0mECdQa40bnsO/A8NwcJq+GQkaNaBj6/seNzmHeqROxbPWOvBwhQLhxIalFkbQqq5Dyk2bOh4qz6NxpyDUaM5wHYuOqzJgyQkjSRIVNMKyCkPIQ5fFAz0iSRYJc3OMi7nmCeOLFPZHH9w3oUNiGSU+Ob25CZ1d3nuHBI06eI9uwqHrV186ubvzuYP+w9lyjRC5aeN+tP6no7w72Y+Uzb+SFtSy6bysW3b819VAXhtTUFpUIuygb82e0YOnD2wMz8pqYc9KESMNDlCWWEEKKIWqFgGEVhFQWehuRchI3LOHi01vwxIt70N3TG1itIAqFeSxr60Hg7WfylJhz0gQsW70j0lPBdL3unl5MaV+FBpHI8IF61tdlq3cMS6gPAGNGjogcRwQZfoLOFdSWRqgLQ2pqi5o2PgDAuzEMDwBwz4ZdmPmR8YwpI4TEplS3wMLj55w0AU+8uKdiboZ0cyQkH3obkXJRTPnlBzZ3D5WTLyYEY9zoHNo61gY+823DOjxPA5OnhNenRR0fdr2whPGA48Hh9aGFYQL1or+m79hmXlRqqErSoS5RITykuqjpsAugOHerMFeeMAVgOAYh9UupboFBx9/jq8xTbjdDujmSeqVt6nhje71MXEjlKaX8cjGTslyj4HcH+43PfJuwDr+nQdh42TQ294d9FBtG0tLchNc65mHRudPwwObuuu3DwsJeohjblEvl2kmfr15Daqqdmjc+FPPwCis1ZLrRm0fnOFAnpI6JGigWc3whcc5XKqX+P4RUK8uvPHOYAaJt6ngsv/LMCklE6pFSyi/bTsq8rGgtzU0YM3LEMDd6/zM/KO9Q29TxQ2UbG0Vw8ekteZ4SQXgeCIVjcwGw0Fe2tvB6NviNH/XehwXlvbPJ9wAAhgqdw8g1SGBuvQOH+hOd/7BkZ21R82EX3kPs2nu3WpWW8TA91E0Z51XBcAxCapSocIg5J00wuod29/Ti7JvX4cChwdDwhbjxtGlDN0dSz9DQQCpNVHnlsU25wJxmY5tyWHTuNFy9ckvo+ceNzuG6808e6oumtK8K3M//zPfnHfK847yx9YAqHtjcPRS6HFahybYEo/96bR1rA7+PRhEMqg47B/swDE/6YTkN6gmokFGIALj0jEmY+ZHxw/Lr7TvQl2g+PJbsrC1q3vgAHL5pCx+CYZgstiYFuMbwkK+rhxwhZSbpHAtBxwfF1fqTaBV+DuKl3fvz9r965RYsfXg7Jhw1Mm+bDQqg1R0kprkaGzXwJaSamXXjGrzz/qGhz8cdNRIbv3l2BSUiJJ+o8sqm1WkRZ6waZXwYXZB4sNlQllHEMUwU9pFROdCiJoxxEyibvg9THpZ678OCEk72DarVoqhNfg+Fk7/jhvlOjpFCQ1jSC7BMuF071LzxobOrO3bFCwB4+91etLavQqMIFsyahBvmnxK434FD/Vj68HajMbFeHnKElJtSK8/YHm8TDlEMPb19sZ9Lhax/ZS8W3v5UKgaIqIEvIdVKoeEBAN55/xBm3biGBgiSGaIm76bVaZtVawDDJpcm52Bv/lrYR9p4FiQ5YYy7+p31PkxEJgH4MYAPAxgEcJuq/kBExgNYCaAVwE4Al6jqvrjnL8XzI+i7C6K7p9fokVJ4LSawJh41bXzo7OrGovu2BpaCicI7ZEAV92zYhQc2v4mDfYMY25TD/kP96BtwdgiyEntk6SFHSK1RauUZ2+Oz7r20/pW9qZyXbo6kVik0PES1E1IpwibvUZ4KNnR2dQ+d36YKgr+PrIRnQRxjRhX0Yf0ArlXVZ0XkKACbRWQNgC8DeFxVO0SkHUA7gG/EPXkpv0/hd2cqayoYbsQKulapi0Wktqhp44Opxm0x9PYNAoD1SmVL9h5yhNQUpcZz2h5vW16sFqGbIyGEVI6w1eIoTwUblj68PXYpze6eXkxpX4WxTTnkGmVoMQ7I3qJblvswVX0bwNvu+/dF5AUALQAuBHCWu9vdANahCONDqZ4ffgNEd08vBPkpIwo/F2Kb/DOrvw9Jj5o2PlRqxVIArG+fW5FrE1IvlLrqYnu8rfshISS7BIVaEJJlolaLbTwVovAvqMXp69Q9NtcgGDc6h54DfVn0LKgaRKQVwAwAGwEc5xomoKpvi8ixxZyzVM+PwvtPcdjg0BJhqCpcgGXyT+Knpo0PlVqxZJ4HQtKnVKu+7fFBHfickybgJ0+/gf6EPKtKobAkICEkH1vDw3FHjSyDNKSeKCXOvdylIgv7usIw4yD6BhWjR45A17fOSUWmekBEjgTwAICrVfU9saxzKSJXAbgKACZPnhy4TymeH0H3n2d4WN8+15jrwdvu0dnVbQzb4HypPqlp48Oic6fh6yu3YLDM151z0oQyX5GQ+qNUq36c44M68Bvmn4Kzb16XV63iuKNGYkRj49D5Wo9uwoZX91mX+T3x2DF5JTkLS3qOHtmQd700q10QUivYGh6YbJIkSalx7qZVYe88SZi+x43O5X0u7Ov8xhPT9bh6XTwikoNjeFiuqg+6ze+IyETX62EigN1Bx6rqbQBuA4CZM2eG3g7FGMHC7r/WkJwi/jnQks5tWL5hV+C9k2uUTIXokPJR08aH+TNacP0j20OTQkbR4PoY+Q0YuQbBkUeMMJ73iRf3FH09Qog9pcZzlnr8mq+fZb2v7SoBIaR87OyYV2kRMoGINALYBKBbVT8jIlMA/ATAeADPAviiqh4SkVFwMvSfDuC3AC5V1Z3uORYDuALAAIC/UdXV5f9PskOpce4m791GkUTCAHONguvOPzl0H38faerDuHpdHOK4ONwB4AVVvdm36WEAlwPocP/+tJTrBBnBrl65Bdc/sh3XnX+y8V4c25QrqiLXio1vYPmGXcaEqENU3nGUVIiGqB1EpFFErimHMGlgW3IoiJ0d83DzJdMx1mcZbm7KYdnnT0PXt86ByTGKVuD6pdr1haTHonOnoSnXmNeWteRcWYK6REph1o1r0Nq+KnSFrpZIQF++BuAF3+fvArhFVU8EsA+OUQHu332q+jEAt7j7QUQ+AeDPAJwM4NMA/tk1aNQtpca5m/oMW0+6MFqam7Dsc6fFMr6zDwumBN1rA/BFAHNFZIv7Og+O0eFsEXkJwNnu56IxlQvfd6APix/chs6u7mHbOru6sf9Qf1HXG1CFIrwaIOCE7KQVQkSyTaTxQVUH4GRerUqKtciKHLYW+hXog/7DPhCmc9MKXL9Uu76Q9Jg/owU3XXQKWpqbIHAGfzdddAqTcxmgLpFiqcccD6Xoi4icAGAegB+5nwXAXAD3u7vcDWC++/5C9/P/z967h8lRXffa75pRS4wEaCQsCIwlJGQCMRaWjIJElDiADTiWbcbGNlYgcfL5g+Qc5yRcjo4How8JRxzkEAM5j3ODmIATgiUMHssWNiYWGFvmYuTRxbIh3BRg4BjFaDCWBmmkWd8fVTWq7qmqruqu6q7qXu/z9DPd1dVVu3tq1d577bV+C/f997j7nw98RVX3qerzwDPA6bW0p1WIM0bsHxhkyZqNzOnbwJI1G8smgmF9Rk8dY8xSp3DzhfPZ1Hd24r7H+rBgarU9Vf2Bqoqqnqqq893Hfar6C1V9j6qe6P6tq552lLMrTEPkhvufitT6SIuotkXZhlFs4qZdbBKRLwJrgbGEY1X9cSatSpFalepV4bK1W8Zt94fMnXXyDP710RfG7WOaD21PYe3FyJY8l/3KKWZLRmy8vOY21nio1V5uBv4XcIT7+ihgSFW9pc+XcEoA4v590T3uARF53d2/B3jUd0z/Z8qII5TXClQTNY6jCRHWZyy/e2tNpeRPnz2tqamKLUxu+6pq4vueA6B/YJBV63fUlGpRKx0izO7bQKcrSOlVyYDya3xwaJjL127h8rVbUJzUo2WLZrK6d17D2mqkR1znw2+5fz/n26Y4nvFcU1mnNg28GscdIYq0G7a9YgbR3hTWXgwjZ5gtGbGonMiF0eIaD4ntRUQ+ALyqqptF5Exvc8CuWuW9qM+Ub0wglFc0KoX93jVr6pjocKcIF5zWUzYuDdKEuHLdVi5fuyVUGLAePbNNz77Giv7tNkZNn9z2VdUWYY/r7qJ/YLBmh9akCR3sPzAaWtEiCm9/76/ngBN0XFu04nPe4q9dy8UjlvNBVc/KuiFZ4vfUppX/qRBqZLv3jtA/MGje4Tal6FcHpkMAACAASURBVPZiHKJyIOmvXtEpwuITprHzF8Nj7wc5OIs02amnLFwWmC0Zcbly3RYaECWca2q0lyXAh9xc88OAI3EiIbpFZIIb/fBW4GV3/5eAmcBLIjIBmAq85tvu4f9MWxAUyeDvEw6qcs/mQRYeP53eBT2hIef+idjyr25l1fodvD48UnZPrkfP7K7HXrQJW8rkua/y+vCgqAYvEueG+5+qyfEA8JbDJ7Gp7+zYDuBqJPm8XcvFpKrmA4CIHCMiXxKRb7mv3y4in6r2uUbTPzDIKdd8e0xkak7fBlb0by/bp55cuST4c6gsb6m9KIq9GNF4HemgW2JscGiYTc++Vuap3/Tsa2XvB1EUwbug7xsmRtUozJaMOJxz40OxHA+tpPEQRC32oqpXqepbVXU2jmDkRlW9CHgQ+Ki7m19x31Pix31/o6qqu/0TIjLJrZRxIvB4il8v94QJ+/nx59jH0QcbOagMDY+MuyfXoy2WhmBlXNpl/Jv3vqp3QQ9bVp7LzRfOD9TsqCcy3HOiBWmCZE0jr2UjPWI5H4DbgfuB49zX/wFclkWDaqV/YJAr797Knv2HbvwK/OujL5Q5IILUerPAn0PVqAF9u9zkC8Dt5NxejOrEGUi2ElFl4ZrI7ZgtGVV4+tU9VfdpUY2HSm4nPXv5DHCFiDyDo+nwJXf7l4Cj3O1XAH0AqroDWAf8FPg28GlXiK9tiFvFwtuvlvGol5YxODQ8Ls8lrAJbmiQZZ+bRoZ0ht1OAvqp3QQ+b+s7m+TVLx0RH6/1/eGkbS9Zs5HJXK+8mV9S0VgdESFb7+P1qOrrRbOI6H96iquuAUXBEhnDqOOeGG+5/ioMhIUN3Pfbi2HPPM9fdVQrcN4zurlIiI/K80o0a0LfZTT7v5N5ejOq0W8ncesvCZYTZkhHIiv7tzL3qvqqRRTdfOJ+da5a2g+MB6rQXVX1IVT/gPn9OVU9X1bep6sdUdZ+7/U339dvc95/zff46VZ2rqiep6rfS/Wr5J240grdf74IeLjith864My0Xb7XXL7TR090VLLCRIknHmTl1aGdFIfsq739aK6UOYfZRXVy+dsu462JF/3Z279mX+JhdpU4uWjSLzo7qdjF5YvtV822Fhea4gpN7ROQoXL0PEVkMvJ5Zq2ogaoBcGZbj5T8t/+rW2KVkhoZHWPWhU8blM5U6BISy4/jVjBs1oI+6yZv2RMPJvb0YwVx06yNserauqla5JkrTIUyzosmlg82WjHGs6N8eWGkqiDbr/8xeMqbyHnrWyTN48MldvDw0zNSuEqVOiRxXVla7uGfzYF2h44rjeNjUdzZL1myMFT5f62p00nFmTh3aWVFI26s3wnNkVAPHTMMjB7nz0RdiO8SCql2sffzFqt6bvftz799JlTgVcopAXOfDlTj5fHNFZBMwg0O5gLkgqpRMp0hZh9FV6mDvyGii43dIsGjL4YdNYOmpx451Psf5DGfJmo2hhpf2gL7NbvJ5J/f20q5ETb5byfEQ9D2ByE6rWlm4JmG2ZJTRPzAY2/Fw4tFTMm5N7jB7yZCggb//WhwaHqHUIUybXGJo78g450RlnxM28esUYVQ19sTNn8YRR/Cv1nLwSceZOXVoZ0UhbS9qjtBV6mTShI6aS2/GuX69a/3Xph5WZhtL1myMJYDZotdSKK2y0Bwr7UJVNwO/i1NK5k+AU1R1W5YNS8ry804KDdFZfMK0slCxpI4HAL8N7Dtw6PO7945wz+ZBlp930lgOFTB2viCyGNCHGWC7GWYeqMVeROQwEXlcRLaKyA4RudbdPkdEHhORp0VkrYhMdLdPcl8/474/O9tvVXyqhYxm5XhotMhd2PdctX5HZAhskFiUJ0bVLIrQ9xiNI0mI8IlHT+GBK87MtkE5w+wlW+KsEo+MKr8cPhDreGETv1FVnl+zNHZ6cIcIc/o2cMP9T3HBaT1j9/CwoPV7N78U67iVJB1nBmla5MChnQlFtb2w/12nCNd/ZF7Njoe4HHSdbJXjsTgLp616LUXRKgvNcatdfB+4FqeM0n+qarZXYw30LujhCx97J1N8+T8CXLx4Fjt/MZyacFycHLaoDiqrAX073eTzTo32sg84W1XfCcwH3ueG7X0euElVTwR2A5568qeA3ar6NuAmdz8jgijbrayKU0lccZwgfv7G/jo+nZyw7xk2iPB3WkFiVM2kCH2P0RhW9G/nsrVbIvvyThF2rlnKzjVL287xAGYvWRN3gO+fUP3roy+EOryjJvP9A4Ps2R/PieE/n38xLGzduJYFOEg+zsyjQzsrimp7Yf/TL3z8nfQu6Ikt/JgGnpjqnL4NdFQ5cacIF5zW05LXUhStstAcd0z9SeAp4ALghyLyhIjclF2zaqd78sSxm9xNF85nde+8VDxCgrPqEhbN4D9H2PkEMhvQt9NNvgAkthd1+JX7suQ+FDgb+Kq7/Q6g131+vvsa9/33iDSymygeUR5jvyhtELUN1ZpD0vtdzjutwvQ9RnbE1XhYtmhmA1qTa8xeMiSNe6V/sSpqMn/D/U8FakdMLnWMjfOChCrrFXSMErOrZZyZN4d2hhTS9qL+pyv6t9PoSpaeI62aDspBVe7ZPFhIscV6aJWF5liaD6r6nIgMA/vdx1nAb2TZsKREiXBE6UHERSEy3LN78qHwuGblufUuaD8vYB6p1V5EpBPYDLwN+FvgWWDIVU0GeAnw/sE9wIvu+Q6IyOs45dD+q+KYlwKXAsyaNau+L1Zwouyy3vtDngj7PtMml3hzZDRvmg6RFKHvMbIlruPh4sWzWN07rwEtyi9mL9kSV1OhGp6D2K/9UKkJ4ZUsrGR4ZJSfuum9c0IqvXjHFyFw8hi2TBFHzK5ynOk5K4I0LdqJItte0Nyhf2CQO2Nq61Qi4lQI3L23/uAPTxOiwxWk9FNErYN6ibpnFIm4aRfPAv3AMTg1nt+hqu/LsmFJiQqprqWWchBRHY7fJlrFM2XURq32oqoHVXU+8FbgdII7Lu9KCxo+jBtmqOotqrpQVRfOmFGbyFSrEGWXSUudJaHRmg9h33PlB08pXHRUEfoeIzsuuvWRqo6HrlInN7tRju2O2Uu2VK4Sd3eVQnUVovAvRIVFBsQJr662z9tmBAuuhm1PWhrTSrwfotVs74b7n6q5dKsqqTgewIlweH7NUkZDIiGKpnWQBq0QTRS32sX/AX4bWAYsAL4nIg+r6rOZtSwhUSHVQVUq0uZ133FbxTNl1Exd9qKqQyLyELAY6BaRCW70w1uBl93dXsLJLXxJRCYAU4HWKNWQEVF2+cR/vhY6yVkydzqPPPtaaOqFX9hu0XUPlGk8HHPERB67+pw0v0ZVqt1/CnYfSmxLInIb8AHgVVV9h7ttFXAJsMvd7bOqep/73lU4GioHgT9X1fsz+i5GAmaHrOpWkncHWoPJ/Vit6PhXiedf+52aJmizjwqPgvUqFQ0ODSOUryhULmJVq1D03K69gefwb/dXRgr7LmHj61ZR3k+JwtheVNUvj7xN6tusckrLEzft4m+AvxGRw4E/BlbhTIRCwwlE5DDgYWCSe56vqupKEZkDfAWYDvwY+ANVrVuRrdqF2bughxvufyoz50OlAVgKRPtSo73MAEZcx0MX8F4cEckHcco1fQUnp/Dr7kfWu68fcd/fqNro7LziEWaX3qppZV1qL5TbWeHZxnCFUFelon6jHQ1htMr9pxZbAm4Hvgh8uWL7Tar61/4NIvJ24BPAKcBxwL+LyK+ransVD88ZcR0PFy+e1RLXeVrUaC9GjdQ6nvxhSGWlyrQHhTEHRE/AJLGaozksb97bXnm+MMImeK2ivJ8GRbG9/oFBlt+9dayM5eDQMMvv3gqUL0zESUftkPJKgFlSSynwOE4WoznEcj6IyBdwPHqHA48C1wDfr/IxT73/VyJSAn4gIt8CrsAZBH5FRP4BZ8Xp72v9Ah5xLsws87pf27OPOX0b7AI3arWXY4E7XN2HDmCdqn5TRH4KfEVEVgMDOOF8uH//RUSewYl4+ET636S9WN07LzR0u1Um80WjFltS1YcTlJ49H/iKqu4Dnnft6XQcp57RBKpVnvEwjYfx1Nj3tC3NmpyEzdeCIgk8x4NXxt1PtfZ3BuTJe9vDzldJqUPYu/9A4PjWVqMPURTbW7V+x5jjwWNkVFm1fge9C3rKIm+q0QjHg3etJo0oj6NfYjSPuGkXjwJ/pao/j3tgdxU2TL3/993td+B4B+t2PlS7MPsHBseFsKWJtyJqF7hBbfayDSdUr3L7cziTocrtbwIfq6eRhlEAEttSBH8mIn8IPAFcqaq7cYRbH/Xt4xd1LcPEW7MnrsiZOR5CSdNeWpoV/dvLIt1qGbtNm5yOqJ5HkkiCOJOrZYtmBqYTelVhoiIUBJjaVWLP/gNj37HyHLWsRrcwhbC9sGidoeGR2JEwjcRfwSjJIpClBOWbWIKTqno3sEhE/tp9fDDO50SkU0S2AK8CDxCt3l/52UvdUjVP7Nq1K2iXcUSJcNQjnpKUeksdGcWmVnsxDKOcFG3p74G5wHzgFeAL7vZYwq1uW0y8NUNOvvo+Llu7pWo/vWTudHM8hGB9Tzw8J1fltZZ07Lb01GNrOv+UicGR+GERAx0i40pfxhGHXN07j4sXzxpbPe4UKXPchZ2vp7uL59csZcqkCePKffrPYSXeD9EKthcnEqaRCLDw+Ok1fdZSgvJN3LSL63FWX+90N/25iPyWql4V9Tk3b3a+iHQDXyNavb/ys7cAtwAsXLgwcjziDxPywswq8+MafcHZBd6+1GovhmGUk5Yt+VejRORW4JvuS0+41cMv6mo0iJOvvo83D8ZbHrjzkjMybk1xsb4nHlGLUXHHbv0Dg9yzubaqDh9+V/DkPKyUp5c64Y88iDu5ikonrBa5EOcclpLoUBTbC4vW6ZBsU9NrQYHL127h8rVbEqdFWUpQvombdrEUmK+qowAicgdO/nkso4qp3l8TlWFCQTfp3gU9scRT0qSeC9xEUgpPXfZiGMYYqdiSiByrqq+4Lz8M/MR9vh74NxG5EUdw8kTg8TQablTH6+viOh52rlmacYsKj/U9MYhyMEztKrFkzcaq4696VokffDI4mrcyfbgjQLPBizxIY3JVLV3ZJnCJKITtrfzgKSz/6tZxES2NEo5MSq1pUZYSlG/iOh8AujlUym9qtZ1rUO+viagOwJ/fE+ZRzoJSp9R8gZtISsuQyF4Mwwglad9zF3Am8BYReQlYCZwpIvNxxjI7gT8BUNUdIrIO+ClwAPi0VbpoDHHziwW4yDQekmB9TwD+RZ2gSb3Hnv0HxvLio8Zf9US3Rn3WH0kwJ6Tqy8tDw9x04fxx9iPAWSeXp4St6N/OXY+9yEFVOkVYtmhmmS1VRi70DwyOOV+6J5codUiZQKFN4CLJve3FcXDllWqaDZULtxec1sODT+6yhdwcEtf5cD0wICIP4tzf3k11b15S9f6aqNYBeO/7Dc6fnpEJdRzWRFJaglrsxWgCFmWUexLbkqouC9gc2s+o6nXAdfU00kjOZWu3xNrvpgvnm03Gx/qeAMIiZP0IMHliJ3v2jx9/Xblu67jQ73qiaf2RA1F9UNg5FGes+K5ZU/nhs6+NDTkVWPv4i2zY9gpDe0fGfZ+DqmMClEHOvMrfaffeEUqdQndXideHR6yPjKYwthfHwZVXBoeGAyuvBC3c3rN5sG01SPJOLOeDqt7lpk38prvpM6r6f6t8JpF6f61U6wD8N/mg3LQ5fRtSF6IcGVWuXDe+bq5HVGdjIinFpxZ7aVfSnvwnOZ5FGeUfs6XWJO6A97BOMVtMgNlLMGERsp0ijKqO9RWXhzjE/Om8y+92xnbe/rWMH73ohGp9UFTE7uDQMC8PDY87/8iojuX0VzpSPO567MVA50PQ7zRyUJkyaQJbVp6b6Du2G0WxvcoxUnfKFVsagTLeVmzhtljEqnbhcgZOKOvvus9zwfLzTqKrFKwcHCc87KLF2ZRMO6jKVfduH1Mm9vA6m0G30/AMyNsvLJfOcuwKRy7tJU8E2cLyr25l/rXfGafsHfd4V6zdUna8K9ZuCT1GHLVwIxeYLbUI/QODnPjZeA7/wzqFJ697f+ZtakHMXioIW7wZVS2rjhZnnDUyqqxav4PeBT01L1x5mg/V+iB/NYkgaj1/WNSvLX7VTa5tL2jM9as3D1DqDCr6lH/8tmLXbrGI5XwQkb8D/hTYjiPU9Sci8rdZNiwulTdnr6RQ3JI/laWI0sQL1/NPfqp1NkHOFMuxKxZ5tpc8EbbKMjQ8UpMz4qp7tzFasW3U3e7h5bPO6dsQGjFlnVV+MFtqHfoHBll+91ZGKo20gpsvnM/ONUvN8VADZi/BxF3UiVrM8uNpQoQ5Barh9T1xq0ls6js7sCZw2tjiV+0UwfYCx1yjypSJE5g2udSkVpXT092VSFjYsyW7dotFXM2H3wXeoeq4S10V1+2ZtSoh9Zb6Wd07j4XHTx/Tg0iTg6pctnYL135jBys/eErVzqaa+rBRCHJtL3khziTfc0ZA9bSI4ZBZjbc9rsCddVa5wmypRVi1fkeZcF0Y1tfVhdlLAHGV7yvHX9Wu1tlH1VdFLUk1ibB9hbpkxsqwCgF1kXvbCxtzeXoeeUi/qHXxx67dYhE37eIpwJ+fMBPYFrJv7vCvdgatnvpDkbJi994Rrrp3O90h3kWb8LQUhbaXRlHLNV9PWkSc0mjWWeUOs6WC0z8wyPxrvzPmRIzisIKG/+YIs5cA/BGyQnRkrBdp8PyapUyZGBwF4a0SP/rc7rralSTSNWzfixbPGvte3V2lWCH0YREbSX4nYxy5t72o6IAs5z9JUGB2DSKYaVy7K/q3M/eq+5jdt4G5V93Hiv5c+Y5airiRD0cBPxMRr/75bwKPiMh6AFX9UBaNS4M4onL11GtOwvDIQSZN6BhXuqjUcag0p4ngtQSFtZe0qCzvtfiEaez8xXBZNE+t5W8Hh4bHOqcJAgdiLvtEedQFLMoon7S9LRWZFf3bufPRF2KtzApYqkX9mL2EkDRCtn9gkOEAwUYBVOsTK/fSfJNEusbd1y8o2D25xK/ePJCoVGa9kcRtTO5tLyo64Mp1WwtTcjOMeq7dFf3bxyrBQPXKMEZ9xHU+XJNpKzIkjgJqI3O8h4ZHxnumfS9NsbUlKKy9pEHQTXzTs6+NvfYcatd/ZB7Xf2Qen7lnG/sOVEkEDyGu4wHCvfs93V1s6ju7pvMbmdPWtlRk+gcGYzselsydzp2X5E6frYiYvbjUW0lp1fod4zSEwFmZjRPFE8WkCVJWLjBu/xNnclW5j5WTbhi5t70oB1bc0sd5o6uUpG6CQ5BN3PXYi4H7hlWGMeojbqnN74nI8cCJqvrvItIFTFDVN7JtXjiVK6vLFs0MvECiNBa8C7CRvr5OEUYOlp9x5KCOORdMBK/45NFeGknYTdyP51Db1Hd2ZKdXGSVUD5YTWDza3ZaKzBXrqpch7BC48ePzbTKUEmYvDkkiSMMm5/U6GMIQYK+rQ9SIyFaLZGgMRbG9sOuhJ0epF0kQKHPkVbvWw+4NYVEfRY8GyStxq11cAnwV+Ed301uB/qwaVQ1vZdW7KLzwmKD8nLAcp6ldpcx1HirpKnVGljjqHxgMVTQ2TYjikDd7aTRxb9ZxHGo3fOyd9TZnDMtnLR7tbktF5eSr76Oaz7Cr1GmOh5Qxe3EIiyC9bO2WMt2vaqXP60FwtCFKHeWjukqzqEfHqJqemdE4im57cSu95I29I6OJbDfs3hCGvxKi2Vt6xI1X+TSwBPglgKo+DRydVaOqERUeU0mYSI9I9AWXNtMmlyLrNR/X3RUahSFgq7PFIlf20mjilq2N41DrXdBTczmzoPb4xcS82u5GrmlrWyoiK/q38+bBaM+D1x+a/aWO2QvRju3BoWEuW7uFU675Npet3RKa5lpv6cHn1yxl8sQJsSL3wtobNdnJ0nFi1EShbS9ocWbShOQpDc2kmiOvf2Aw8YLzskUzxz5r9pYeca+sfaq633shIhNIr7pPYpKEx4Stdg41uKTMm26YXZS6cVgHZEE/hSNX9tJovJt1FP50hyVzpwfu422v1yMfpz1GbmlrWyoi1dKuLl48i4FrzjXHQzaYvRDPsb0nQEzS4+WhYVZ+8JSaz98hzmQlbrqsv72ew2F23wYuX7sldLITpQ9mNIXC217vgh6Wn3cSx3V38fLQcM1aXM0kzLngOQ/C6Onu4uLFs8YWqzpFuHjxrLF0frO3dIkrOPk9Efks0CUi5wD/HfhGds2KplMk0NEQtuIalON0w/1PNTTlwp/j7p3fyzE86+QZVbUnrOJFociVvTQa72ZdrdqFdy3feckZXHTrI2WilACbnn2Nc258iAeuOBOIZ7PHHDGR//rVSNn94cEnd9E/MGi2U0za2paKRJANB2HiXZli9kKwvk8S6k1zHVW4bO2W0DRaP35HfGU+eliKRu+Cnkg9M6MpFN72Kq+/IhI2D6xW1XDv/gMsPH56aP9k9pYucZ0PfcCngO3AnwD3Af+UVaOqsWzRzDI1ff/2uNTbOYETNpLEL+hdpH5nSFxjt4oXhSJX9tIMVvfOSzTJuPOSMzjnxod4+tU9ZduffnXPmAPimhg1l4f3HxznmPTCbFet38GqD52SKxsyJfKqtL0tFYG4jodjjpjYgNa0NWYvlKv6J11k8pwBaaxoBi0olTqEww+bwNDekXH3/Dhl371xZFj1pnbXB2tin1qT7YnIbcAHgFdV9R3utlXAJcAud7fPqup9GbS5jDjXX945qDomQHnWyTN48MldvOxGD0Wxe+9I5CJvEeytSOPJuNUuRoFbgVtFZDrwVtXmSYAGrayGVbuA6H9IPREQSQOSgi7SJMZuHrZikDd7KQqVjofK7b/cV91OovYZGo7uXBpNEkX2dsVsKd94fWucPvSwTuGxq89pQKvaF7OXQ3iLPP0Dg1y+tnrlFXBCr71I1DQjYztFGFWtOiGIM8bzxpFWvWk8zexT67C924EvAl+u2H6Tqv51uq2MplXmGF6aUtAidRRRi7xB9lbqEPbuP5Co2kZWFG08GbfaxUMicqRrUFuAfxaRG7NtWjSre+fx7PXvZ+eapTx7/fsjHQ9hIiGe+Fw8ebz6CeoUkhi7gimsFoA82kte8QtqRTG7yvtxyVOOnuUQVsdsKb/4+9YovNzZJ697f4Na1r6YvYynd0EPFy2eFTnO6yp1cvOF81l+3kncszm5KF014laAqraK6ncuWPWm8TSzT63V9lT1YaB62FgDyNMqfrMIm5NV2lt3VwnEiZjIgwBl0caTcQUnp6rqL4GPAP+sqqcB782uWekR5x/SKIO7+4nxXrik5272BW7EorD20kgqHYONIi/efcshjIXZUk65IqBSQBBRiwNG6iS2FxE5TEQeF5GtIrJDRK51t88RkcdE5GkRWSsiE93tk9zXz7jvz/Yd6yp3+1Micl5m3zIhq3vncdOF88smDtMml8Ym7Rec1sMN9z8VWP0iLtVEkeNMUILElT2nSZBzwao3ldPkPjXtvurPRGSbiNwmItOCdhCRS0XkCRF5YteuXUG7JGL5eSc1bDE2CTvXLI1sV5ptjpqT+e1tyqQJjFRUdWrmZL9o48m4zocJInIs8HHgmxm2J3Xi/EMaVd9207OvcdKKb5V1PGedPCPxcfLszTKAAttLI2lWfmFevPth7chL+3KC2VIOOefGh2KlHYZVsjEyoxZ72QecrarvBOYD7xORxcDncUK/TwR24+Sz4/7drapvA25y90NE3g58AjgFeB/wdyKS/cAqJv6Jw5aV5zJwzbk8v2ZpKtEOnmMgTnnOqPFbUDTDTRfOZ6c5F2LR5D41zb7q74G5OPb4CvCFoJ1U9RZVXaiqC2fMSD6XqKR3QU9uy3OE/Q8FxhyL9ZIkbSlvk/2ijSfjOh+uBe4HnlHVH4nICcDT2TUrPeL8Q/w3/KzZd2C0zPP94JPB3spOkUhvXl69WQZQYHtpJM24hvOUExtVdtcYw2wph4Tps/hZMnc6d15yRgNaY/hIbC/q8Cv3Zcl9KHA28FV3+x1Ar/v8fPc17vvvERFxt39FVfep6vPAM8Dp6Xyt7EjDCb53/wEABq45l5t9ERZhRPV9Fs1QO03uU1Prq1T156p60Kcj0TA7CqsW0Uzm9G0Ys7FKFMeGa11E9n/bSRPCp8T9A4OctOJbzO7bwOy+DaFOmmZN9os2nqwqOOl6rmeq6qneNlV9Drggy4alRVxRHk+cKK3c8iiGRw5y5bqtkSJIB1XZuWYpS9ZszL3CqnGIottLIwlTD84Ccc+XJ/Vfv+htEdSJG43ZUr44deW3Y4m+3nzhfLuGm0A99uJ+djPwNuBvgWeBIVX1RvwvAd4/tQd40T3+ARF5HTjK3f6o77D+zzScuMrvtTjBRcAv47B77wiXrd3CVfdu4/qPnDpWUn3B577D7r0j4z7fHSNCwkhOs/rUtPsqETlWVV9xX34Y+En9rYxHXH2SuHQKHKzzkAqBduQxODQc+L/3V7vonlzi9eERRn1t6ewQOoARd+PQ8AjL797Ktd/YUVaNBuCKdVvKPhtEMyf7RRtPVnU+qOpBEfkQTnhdIajsdC44rWfsAqz2D+kUSd34gqh2Ds/7GKiw2ins2ZcPhVWjnCLaS7NIo9xtHC5ePCu3Oef+srtGOWZL+SGu4wHyqazdDtRjL6p6EJgvIt3A14DfCNrN/Ru0NKoR28chIpcClwLMmjUraXOrkkT5vRYneNjwbXhklCvWbhk7z6/eDJ4w7d47MiZ6XqTyeEWgGX1qPbYnIncBZwJvEZGXgJXAmSIyH8d+duKU7mwIPSkvCtXreIiDN1+q9r+vtLU9+w4wNFxuoyOjOubo8O4bkyZ0RDoe8rK4VaTxZKxSm8APReSLwFpgLN5SVX+cSavqIKjTuWfzYGwV4GWLEcQ7lgAAIABJREFUZiYuz5IFnnOi0pvVPbnEr948ZDB5L6fSphTGXppJNU/1cd1dzD6qi0ef2z1WUnfKxI6ySdBhncKbvt7tmCMm8l+/GolVgtcoBGZLTaZ/YDC24+HEo6dk3BqjCnXZi6oOichDwGKgW0QmuNEPbwVednd7CZgJvCQiE4CpOGr93nYP/2cqz3MLcAvAwoULU5+eRAmNV46T0naCjwKr1u8AYCRCGOXytVu4bO0WhEMemqjxnDkpck9NtqeqywI2fynltsWmUYtCaRJ3wbhycl6tyho4941qv8Xza5bGOr9xiLjOh99y/37Ot83LCcwVSTqdILyJyl2PvdiQCIgweio0Kby2L1mzcVz4UZLvZzSEwthLsymSp9ZoCmZLTeScGx+Kpe8AjuPhgSvOzLZBRjUS24uIzABGXMdDF45C/+eBB4GPAl8BPgl83f3Ievf1I+77G1VVRWQ98G9uecHjgBOBx9P6YklIIgbnd4KnteI7NDxSVRRcK/56BI3nkkRyGE2jJfqqLOwha+Lq9VU68LonlyLTOVqdZjo0YzkfVPWsrBuSFmkokK7uncfq3nnMiRAVyZqwKhh5U1g1xlMkezGMPGO21Dzi6h/ttFWf3FCjvRwL3OHmrXcA61T1myLyU+ArIrIaGODQauyXgH8RkWdwIh4+4Z57h4isA34KHAA+7aZzNJywVIowrSzPCd4/MMgVa7fEquRSjXrGZJWfrXdRzcieVuqrPHsI05zLGgEmT+xkz/7qt49Sh4zpLERNpoMceKUOodQp40pmJuHISbkp6JOIZjs0YzkfRGQqTh7Su91N3wM+p6qvZ9WwWkna6fjxX7hTu0rjRIXSorNDOFhFueSux15k4fHTY+cnmgBlfqjFXkRkJvBl4NdwIjdvUdW/EZHpOGF8s3Fy/z6uqrtddfG/Ad4P7AX+qCih6H47Exg30OvxdRoWatreFKnvaSXiOh6KOvBqVWqxF1XdBiwI2P4cASr7qvom8LGQY10HXJe85ekSV2g8iM5OYTSFRPWOOvTDKsdztuiUf1qxr1p+3kksv3vrmCBjUvwpRUm4aPEsFh4/nctc/ZQoDj9swthY0d/WwaFhlt+9FXAm00EOvJFRpburxJRJE2p2ssRNScwbzXZoxi21eRvwBk792o8DvwT+OatG1UOt5UY8L9Dg0DCKEzZXo71VpZrjAZwcpsvWbmH+td8ZK8sJxSun0qbUYi8HgCtV9Tdw8m0/7dZN7wO+69Za/677GuD3cMJaT8QR7vr7tL9EFlTaWdAK0+DQMJet3cJv/H/f4vK1W8b29bZX2oTR0hSm72kV4trWkZM62Xbt+zJujZEQsxfKy6cLjkM7ju7XDfc/VdcqqJ960nb37DtQZodxSsYbTac1ba/GypudIjVHjj/45K7YE+AhN21i1fod45wkI6PK5Wu3MKdvQ6hz4fXhETb1nV3r1ywszXZoxtV8mKuq/pIx14pIdZdUE6i13EicWs+egF0j9SC80i9Qnh9vq8G5JrG9uGWVXnGfvyEiP8MpU3Y+jhIyOLXVHwI+427/sqoq8KiIdFeUZ8olSWqqD4eodQ0Nj1i+a/tQmL6nFVjRv507YwguWznN3GL24lKLnlBeIgkq+7h6IjmMhtFytlerM66r1Mn1H5lXs26EZ4dxKm90iESmyFdrvefAm9pVGlf5Ii6z+zbQEyCYnre5mT+SOCwyq1EOzbjOh2ER+W1V/QGAiCwB8nGXDiCrTmdUldW98xpeDWNkVFm1fsfYdzKRvtxTl72IyGycMNjHgGM8h4KqviIiR7u7jdVad/Fqqpc5H7IuaZaUtAZ3lu/aNhSq7ykycVMtTjx6itldfjF7qYNaym6mQVB4ur+Ps0WnQtBytlfLeG3a5BIrP3jK2LVZS+WMyROd6O44lTfqWQj2O/CkztCHwaHhsrmhl/Zx7Td2MLR3pOk2W6nxEPS7NdKhGdf58N9wBImmuq9346gdtwxxvF7HdXc1Ldy7Vo+c0RRqthcRORy4B7hMVX8p4XfEWDXVsy5plpQ0B3d5WaUyMqXl+548ENfxAFhFi3xj9lIj/QOD7N1/oCnnDuuY/X2cLTrlnpazvSTjtZ6AyXWtlTP2ukKTWVbeEOCC0w7ZlJe+kSYjozpWTaPZFWrCoo47RRhVzWe1C+BnwF8Bc4Fu4HWgF9iWUbsaTjWvl+cR8uo3G0YENdmLiJRwHA93quq97uafe+kUInIs8Kq7PXZN9TyRZg1py3dtC1q+72k2SRzqVtki95i91EDlqmCj6WxyCLSRCi1ne3HHaz3dXWzqC64o6jnNklQP9O/nfT6JgzzuOR58chfg2H89ArFxaWbEbthi3agqzzehX48rOPl14IPAm8Ag8CsgXvHvghDl9fKLFTUrAmHa5FJTzmvURGJ7catXfAn4mare6HvLq6kO42ut/6E4LAZez7veA4wXAot7A6rE8l3bhpbve5rJiv7tXF5FUVxwNB7M8VAIzF4S0j8wyJXrtjbN8QCw+IRpJiRefFrO9vzjtTD8pS6jmNoVfw7TWW8ORExeHhoeczw2SsevWRG7eROtjRv58FZVTSRrnbR0YJJjZ0FYeFGUR69RlDqFlR88peayg1ausOEkthdgCfAHwHafSNFngTXAOhH5FPACh0qc3YdTZvMZnFKbf1x3qzMk7jVYud/kiR08/Wp5/x0U3pf0PEZhqKXvuQ34APCqqr7D3dZyJWvrJe5K0kWLZ5kNFYda+p62Je2JR4dQU5W0n77yxphAn/VdhaUlbc+LPFiyZmPgHMkrdVnJiv7tY+L8nSJ0SHzDOKjKkjUby2xgydzpbHr2tcjPdYjjuPBXvYgq93lcd1ciEfQ08AQyj2uwQGXeRGvjOh9+KCLzVHV7gmN7pQN/LCJHAJtF5AHgj3BKB64RkT6c0oGfSdTqDIj7j5kysZM9+xtzoQqMXZBQLtwSN3+oMpyw2XlHbUJie3FFisLcve8J2F+BT9fYvoaS5BqsJ6/VrvWWpJa+53bgizjObw+vZG1lv+MvWbsIp2TtojQanmeShLCu7p2XYUuMlKnFXtqGSuf0a3v2hVZVqoUjDyuxZ/+BxBUCdu8dMU2H4tPSthe2Yh8UNb6if3uZ+OJBVaJMIijtqHL8duclZ3DOjQ+NW4wqO06HcOFvzhw3oYfxwpfe/K5a5F+tdJU6ODCq4+4F3vcMEqjMcryaN9HaSOeDiGzHcRpNAP5YRJ4D9uE6k1T11LDP1lA6sKnE/ceMNig0RwSev/5QmOuSNRvHeefi5A8FefWsUkA21GMvrUyjrkG71luHOvueh92KMX5aqmRtPazojz82tlSLYmB9T3WCnNNpMzQ8QgdOmuzQ3pHYOe5GcWkX2wuLDg8K27/rsRfHbQvDiy4Piqzwj9/6BwZ5afebkccaOag8+OSu0Gj1oPldFmKWANOnTGL5eSdVLW3pJ+vxap4cnNUiHz6Qxklilg6s/EzDSwTG+cek6SWPovIaDfM6Dro5S2HtjvqcF/pj4X2pkYq9tBph12DauW9R1/rsvg10irBs0UxbyS0GadtSXSVrIX9la5Ny0a2PVA1bBWfEfNOF861PKBbW91ShUeHVozjjt+fXLI0dYdRVqlX9yMgBbWF7ScL246Yx+T9fbZwY137DHAlh8zsv+iFtR+HLQ8Nl55wT817QLlXcIp0Pqvqf9Z4gQenAynPnqkRgM/A7FaJK3kSF6nRPLo2VeqlEsdD0NEnDXlqRJB7zMOJoOURd6+B0iF6Ymzkg8k0DbSlWyVoodp8U1/EApvFQRKzvqU4Wq5theMLkYVUsKjmsQmzSKA7tYntJwvbDrvsOgWOndgV+vto4Ma79CkQuyAZ9r8sySL3w2u2NXeMOGPyaEJW/bytpmsXVfKiJhKUDC0EjNR/8ToGokjdRoTpxHJAWmm5kSb1CN3G1HOJmRP3roy9w56MvJBK+LPJN3gBarGRtUuI6HsAcc0br0T8wGCk8lxVxV4Cjqq0ZRl6IG7a/bNHMMj0Dj99fNCu0fznr5BmBnznr5BlAfEeeQuL5TE/E4m4teOPbWkr4+jUh/OPcVtM0yyzWq4bSgYWg1Nm48DjPKQCHSt6EERaq83rM0qBeGsaSNRsT1X03jGpUltf0l66NQ5SWg5+41zqUR/1UXu/eTX5waDhyP6NQtFTJ2ricuvLbicQlTePBaEWSrDymgVcaPapEoZ9mlbszjKT0DwyyZM3GyPnC6t55XLx41ljJzE4RLl4c7ngAePDJXZHbk1SkSZq6sPy8k8aVuk3CkrnTA8e3UakiPd1dXLx41tjngsqL+se5ccfBRSHLyIekpQMLQZIJThr4jShKHMXfeflXbeOInHhYGoaRFfUI3cTVjIhKTQpjeOQgV67byuVrt4xFOJhwZbERkbtwxCXfIiIvAStpkZK1STj56vt4M6bqfrWBoWEUmUbmUftLo+/Zd6Dq/s0sd2cYSUiy+r66d16iPqXaOC9JdEJSZ15QSkmSseSdl5wRuD3sOwmME8UM04TwjhHWnkamk6VJZs6HpKUD80pl+PXUrtJYPl8jOK67q6wNU7tKlDqlrHxLqVPYs+8Ac/o2MLWrvNRTLfWrbaJl5Im4mhFRqUlRVIa5hX2+qDf5dkNVl4W8VeiStUnoHxiM7XgAS7UwWptaHNO1csNH3wmML+0HTkTE0lOPHVcK0MZaRhHIcmGm2jgv7vguzJnXPzDItd/YMaYL1t1VYtWHThlrd+UCWVD1jSCCIhY8Joek6at7/NlHdfHoc7sj52lTu0pj5wnaL+r8eSZTzYeiE+TlK3UKHTiKxo1g9lFdZW0YGh6h1CFjpZy6J5d4fe/ImEMkjmOks0M4YtIEXh8OLwUVZXSWD280kriaEUHe6//61T72HYhvrVEdW1Fv8kb7kURAy1ItjFanVsd0rYSFW0+eOMEcfUZhybJyWbVxnje+8zsQPDw9l56Q+Uj/wCDLv7q1bNF2aHiE5XdvLTu2nzANikpOmDE5cPuK/u2R+oCDQ8OxnBvesDPMQVHLAnMeMOdDBEEdyEiC1aQ0CPKKjYwqkydOYOCac5l/7XcSO0IOjipvvBkdDhg20Wo10RMjn6zo385dj73IQVU6RVh8wjR2/mJ4nMPLv59HpwgXuWHktQj+hFHUm7zRPqzo3x5rwORhjgejHehd0MPdT7yQSHi1VqL6m3Ypo2e0JmlULgsjTjUNLzoh6QLoDfc/FTh3GxnV0KiNMA2KSp7btTdw+12PvRi4PSmeGG1Y2klcXZm8Yc6HCPLQUYRNeLy21ZoCUm0iFfa+5cMbWVM5gTqoyqZnXxuXlx420Qoqqel1VN2TS+wbOcjekXCXXVh4W1Fv8kZ7YBoPhhEcmfnEf77WEMcDOOOhsD7EhCWNIpOkclktEdJxtcGSaohFzeXqjebIOiIhKu2kyHox5nyIoJF5gmGE18uVUIGStM4bVGs2y7Aro72ozMGrVgrtrsdeLJswVfMse/sH5fLtDbleu0qdXHBaD/dsHmyZm7zR+iy67oHYjoebL5xvjmKjJQmLzHyzQekWHgdV6Sp1Wh9itBRxohMgfxHSUXO5MIdg3PlfWJR43NKgUZQ6ZVzaSdBvX8RUeHM+RBDkaWpkreiwiRBU96p55lBrW8NqzWYZdmUUl6Q3v6AcvGrX6kHVModYLdE7/QODkR2KVyJp4fHTC3czN9qTc258iJ+/sT/2/nYdG0WhlvDqoMjMRuPlnlsfYrQacaIO8hYhvfy8k8aNNz3OOnlG6GfipOyGaT4sPmFa/dFWFc0N+u3z5uiJizkfIgjyNJ118oxAZ4BHms4JbyIEjMtrr8bUrhJbVp6bqMZ7GP6bRi2hP0X0yhnxqXbzC/r/h+XgVcNfDrZDYDTiEJUeaa+dYfR0d4UqHxtGHll03QOJHA+m8WAUhVoG1XmIwPTGQ9aHGO1KoyKk484tvG2fvXfbuJTbezYPsvD46eM+Vzn/Cxtqhmk+7PxF/d81SpPCI2+OnriY86EKQR1I1KpoXIE7AZ5fszTSOeBN3O7ZPJg4fGdoeIT5134n0Wei8G4accOuPIrqlTPiE3bzu2ztFlat31FW+nVwaJjL126p20E3PHKQrlIHwxHaDcsWzazaTg8LiTWKxkW3PmKOB6NlqWVQHRaZOSWk5F3aCOWLRobRjjQiQjrp3KJ3QQ833P/UuJRb754CwfMa71hhc7Vqunz1Uu04RU2FN+dDDUR5tCsn5x0heT9K+MUMh1ZtoyZM1YgSo+wUYVQ1tH2V+G8ald+/f2CQJWs2BjojiuCVs8iM+oi6yQVdg2lFBr05MsrFi2cFVrtYtmjmOEG9qHbagNEoEiv6tycK6TTHg1E0wu7Xg0PDgXpUEC7K9uF39XDX4y9yMCpULgUUW1QxjEaII9Yyt4i6p1RzZIRpOIRpPqSlGVjNYVPUVHhzPmSAf3J+0a2P1JT3s/iEaUB23qtRVdT9W42om0b/wCDL797KyOihlW1/7dww4/Nvb+bk3yIz6qdZwqzHdXexundebNX+sHb60y0MI++cuvLb/HJfPIe0F2FnGEUjql/xp9/Bob46LFX23x57ITJFr1HYQofRDiSNkK6FWlb8w+4pnSJVHRnLFs0MrK5WGWHrEVczohphmhRR56mcs4Xdd6rdj7K8X3WkchQjlEef213T57x8oe7JpcD3O8QZWPZ0d3Hx4lmJywBqxd8gvONHrQqvWr9jzPHgMTKqrFq/A4hWgoVDk/9BN6fKG1D0Dwwm+Da1E+U9NeKx/LyT6Cp1NvSc4p43CUHttHQLo0icfPV9sR0PYI4Ho7jE6Vcq++rKwfJZJ8/grsdfbJjjYVrIeM1rWzPHOobRSHoX9LCp72yeX7OUTX1np+5ki6pSEUbYGDCL1IneBT1c/5F59HR3IUB3V4nOjuD5UBQbtr2S6DyVc7aw+86K/u2R96Os71cW+eBjRf/2sRDusNDtpNRaasW76MM+fuRhjqAkOBfJg0/uquk8UYQNXP0dfNi388Ltq9XArRY6lfVKQVHzpfKE38vdqAiIo4+YyJXrtnLZ2i2xbbUR3njDyIok5TSPnNTJtmvfl3GLDCM74gq+eX11UBRj0EplVnR2CCs/eEro+0VIQTWMolBLakfYGDBs7Op3ZISVdq8sAV95vrBIgrgp714p+iiipADC7jtBRQz896Os71fmfHBZ0b+9rKM6qDr2uh4HhEi4AyGKqV2OB/31EN0Gb3tcgcu0SHq+nohQdyAyLaMRKRFFzZfKG97Nr39gkMvWbsn8fH6hvSS2agrkRhE5+er7YjseTN/BaBX89+slazYG9tVTu0qh7zWSL3zsnZF9iy10GEZ61LqYFDYGrObIqLaQGrfN3rnnpFCJMA5h95dq0R5Z368s7cIlyqtVD10TavuJvWyFaqFFUYKUXkpGrSHxQeE1cQUwvfZXC3WPSstoREqEheKnS++CHk48ekpTzl2vrRpGHrno1kdiOx4O60we1mkYReCsk2dQeXWXOoQ9+w803fEQRzeoljBxwzDCSSu1w0td8KdNTaqYu1VLIU9KXLvv7gpP5arnPFFCmVGfS+t+Zc4HlzS8WkFElQKMYsgNtak2OQ7zQgmwqe9sVvfO4/qPzKvpAg7K74nr9fJ+tmr5SFG/eyNWCqq1z0jOA1ecyZK508dt9252td6sq1GvrRpG3jh15bdjCxYL8OR178+2QYbRBLyS4/47vAClThkr49ws4i5W2EKHYeSbN33ztaHhkbI5UJiwZNj2asTRtCl1CKs+FJ7KVet5ukqdLFs0M/J+lPX9ytIuXJKWUYlLlML+pr6zQ8MFPe9StdCiqLQBL79ocGi4pu8xPHKQq7+2vez8cfOUwCkl6uXjb+o7O3CfWtIyqnnegkSnHnxy19jr2Ud18ehzu8u0PcLaZ8QjSJvjYwtnce03dozlrHnXTVZOgk6RMt2WoPfT0HExjEYQVYq5kosXz7Lr2mg5/GOYShTYW+PiTr10lTp4c2Q0kW6QaQ4ZRn6ppnHg9a9p6QKGVebxz1XSuD9E3XcWHj899H6U9f1KtACrhQsXLtQnnngi03NUaj541DuoC9JI6Cp1jq2uV3u/1uNfcFoP92weTEULogOot4sP+x2jvj8E52FF/Ta1amDE+T+LyGZVXZjowDkiKzsK+s1LHcIoZF5X3c+JR0/h6Vf3VN3PJmrNpeh2BNn3SW+7agMHYpqOaTy0L61sS43Ws0pCpwjPXm9RRq1Es2xJRG4DPgC8qqrvcLdNB9YCs4GdwMdVNbJ0XiPmSa3MnL4NgaK2Vq46GXHtyNIuXFb3zuPixbPKQsPTmKRUC+uvN+w/7PMPPrkrtU47juOhU2RcPqafsHz8qO9fy28TV5MibvuM6gT95iOj2lDHw8WLZ/Hcrr2x9rX/tZFn5vTFdzwYRqsSpy+fNrnU8DLPYCl+RqrcDlSWJuoDvquqJwLfdV8bGdIITZb+gUGWrNnInL4NLFmzMbWylVkdd0X/duZedR+z+zYw96r7WNG/PZXjgqVdlLG6d14mK6LVFPbrVeAP+vzlVSoOeI6CtLrQUVWeX7M0NFQ4qrOO+v5Jf5ta9SBsMFE7zVbrFhzbjVtWzf7XRl5JkmoBFvVg1I+IzAS+DPwazlrDLar6N2GrryIiwN8A7wf2An+kqj92j/VJYIV76NWqeket7YrTryw99VgWHj+dz967raEpGFnpFhnth6o+LCKzKzafD5zpPr8DeAj4TMMa1YbUUrozCVlV78vquFlVgPQw50MLcNGtj5SJki2ZOz1UC8Ij7emXEj1wjuqsg/QCajWaat+7lvYZ0dT6m6d5fgjXbanE/tdGHonreDhyUifbrq1cKDOMmjkAXKmqPxaRI4DNIvIA8Ec4q69rRKQPZ/X1M8DvASe6j0XA3wOLXGfFSmAhzpBgs4isrxYuHkacfuXBJ3ex8PjpNQt710qtInOGEZNjVPUVAFV9RUSObnaDWp2sNQ6qaUrk7bhRFSDTcD5Y2kXBqXQ8AGx69jUmT+xoSjhiGG85PLjahue1GxwaRjnktas1bOisk2fU9DkbTNROHNXerPB7puP+D+1/beSNJBEP5ngw0kRVX/EiF1T1DeBnQA/O6qsXuXAH0Os+Px/4sjo8CnSLyLHAecADqvqa63B4gPHh5LGJ05cPDg2zav2OVBZTwpzS/q0iphlk5AcRuVREnhCRJ3bt2tXs5hSetEp3BpFV9b6sjptVBUgPi3woOGFl2J5+dQ83XzifK9dtzUWY+c/f2B+4PW2v3YNPBt+AO0UYVQ2tdmGDiWT4q0p0irD4hGljv2mj6KnwTFeqEVdi/2sjj5xz40PNboJhAOCGfy8AHiN89bUH8C+LveRuC9uemP6BwVjaPIJTEi8NJk0QRkYpK92ZRPzbMFLk5yJyrGt3xwKvBu2kqrcAt4AjONnIBrYj9URpR1UmrIesjhsVSTynb0PdkSHmfGhhehf0VNV+aDZpe+3CPudpUuSZJKrHUXm3WROUCxbmBMuKsFz3rHRbDCMLFl33QKhjNgjTeDCyQkQOB+4BLlPVX0p4elrQGxqxPehclwKXAsyaNavsPS8aMo4jO83ZlqcZMbnUwXDCMpqGkTLrgU8Ca9y/X29uc4x6tRWy0pTI6rjLFs0M1VHzR6lDbdoSlnbR4qSp1FovQYqp1RRmk6q4xlGszUoZNgVuJ77qsT/v9lKcvNvM6R8YjC3smBUlu2sZLcDbrtoQ2/Gwc81SczwYmSEiJRzHw52qeq+7+efuqisVq68vAf7ctbcCL0dsH4eq3qKqC1V14YwZ5ekVtVasSovhkVFuunB+6mHXhhGEiNwFPAKcJCIvicincJwO54jI08A57mujiURFaceh3sqGjT5uZQXIIJJ8/0os8qHgLJk7PXDVecnc6UCwV6yZVCqmRnntavE0VvMCZqUMmwYJVY/H8m6BR0Wk2wvTS3reyhSKZYtmsvD46Vz7jR3s3uuEtHZ3lfjAO49l7Y+aX6byQGO1xQwjdU5d+e3Y5TTN6WBkiRtF9yXgZ6p6o++tsNXX9cCfichXcAQnX3fDw+8H/reITHP3Oxe4Kml74kY9dpU6OazUMdZHpYVC3WJthhEXVV0W8tZ7GtoQI5I0orTrrWzY6OP6I4nn9G0IjDSrNUrd1hALzp2XnDHmaPBYMnc6d15yBhDsFVsyd/qYN6tThCMnlYsFHnPExLH9a6kLcMwRE6vu4+VzRnntavE0VvMC1uu9bAJlebdAtbzbMqoJEnkpFF6Iq+ccumLdlrJB3dDwCP/66Atl+bDNIk/RPIaRlBX92/nlvnjOYHM8GA1gCfAHwNkissV9vJ/w1df7gOeAZ4Bbgf8OoKqvAX8J/Mh9fM7dlog493evX1/5wVModaZfvajZ5aMNw8gXcaKqW5m0v79FPrQAnqMhjHq8YnMS1p0X4LGrzxl7Habi7s/nDGtfrZ7GqO+blTJsE4iVX1tNkChM1Gu0+T6GQNKsu2wYjaZSLyWME4+ewgNXnJl9g4y2R1V/QPg6w7jVVzfa7tMhx7oNuK2e9px18oxIG+np7mJT39mAY0+1OsSnTS4xtHckcDWvXSYUhmHEIytthTwRJaiZ9vc354MRecGFKamGKaFWdtph+0XlEfmPVU3FtX9gcFx6wKoPnRLqfMhKGTZDwlSPY+fXRpGHSihJMOVxo8jEUfA/5oiJ5ngw2pawilUeg0PDzO7bgFCf4OTSU48F4M5HXyg7TqtNKAzDqB9/9HQt1S7yTrWU9LS/vzkf2pxqF1yYt+uC03q4Z/NgVS/Y4hOmBWpSLD5h2rhtlcTRb1j+1a1lKx9DwyMsv3vrWPuTHjOHJMq7TXrwqHI6eaOnu6tlbvRGe+E5eKvZ2gQpjxwzjHYjbhRivb3Wg0/uYlPf2Sw8fnrLTigMw0iPrLQV8kBUSrr3ndPR9ApKAAAgAElEQVT8/uZ8aHOqXXBR3q44nfbOXwQPJMK2+6nmabvh/qcCQy5HRjVUMCrP3ktX9fhM4C0i8hKwEsfpsM5VQH4B+Ji7+304ZTafwSm1+ce1nDOqnE6eyLmDyDBCuejWR2KVoj1yUifbrq0sdmMY7UVYdGLaeE6OVp5QGIZhxKHRKemZOR9E5DbgA8CrqvoOd9t0YC0wG9gJfFxVd2fVBqM6cS64sM45Tqdd7wVd6SzwhCF7F/REHmNwaJg5fRsCnQt5HWwkUT2OyrtNwureeU1zPvjF9M658SGefnXP2OtjjpjIhM7OxA6iqBQiw2g0p678dixxyYsXzxpTlTaMdqZRFbpynGppGIYxjrTHt/7jdcRMpU+LLCMfbge+CHzZt60P+K6qrhGRPvf1ZzJsg1GFrDUQ6j1+VFpItRUSJV+lNPNKWLnWLOmp+P+nkeOe5zKqRj4QkZ3AG8BB4ICqLszKKX7OjQ9VdTx4pW3N8WAYDmHRiVeu25paiqBF0hmGUSTSHt9WHi/o3prlfTKzUpuq+jBQOaM5H7jDfX4H0JvV+Y14LD/vJLpK5aU207zg6j1+VFrI8vNOilVmK+elNJtOULnWLMnqhlbAMqpGczhLVeer6kL3tecUPxH4rvu6LvoHBssieYLo6e7i2evfb44Hw6igd0EPm/rO5vk1S9nUdza9C3pYtmhm9Q9G0N1VCiy/bRiGkXfSHt8GHQ+cBZFG3CcbrflwjCeK56r3Hx22o4hcClwKMGvWrAY1r/3IWgOh3uNHpW14x/BXu0h6HMPBX651zlUbSFuDsqe7K/NUiBYqo2o0lvNxtFbAcYo/RB0ReZUpRGHYyqthxGfh8dO5Z/NLDI+MJvqcABdZWpNhGAUm7fFt2OdGVXnelxKdFbkVnFTVW4BbABYuXFgMOf6CkrUGQpLjV+Y0Te0qMTQ83rHgpW1UHnvJmo1FK6WZG7zfPgvHg1eXPW4bKh0V3vbBoeGxCh09McvC2v/e8KHAd0REgX90+5lYTvFqDvEV/dtj66csmTvdVl4NIyaHQoQPOR5KHQJCmei0AL81dzo7fzHMy0PDTO0qIeKU03zwyV2mAWQYRmZkqTmW9vi22ePlzNIuQvi5iBwL4P59tcHnN3KMN8AYHBoe02vYs/+AM8jwERW2n3UaSavi/+3TRIi/whv0/7/q3u2s6N9e1jYvN817v39gELD/vRGLJar6LuD3gE+LyLvjflBVb1HVhaq6cMaMGWXvJXE8HDmpsyzSyDCMaIJChEdGlSkTJ9DT3TUWJnzThfO585Iz2NR3NjddOJ99B0bZvXekrD/x+gvDMIy0CBu/pnW/SXt82+zxcqMjH9YDn8QpH/hJ4OsNPr+RYwIHGAeVaZNLTJ44IZY3Mc+lNPNMWP6XH8FZNvZE8uJMtpT4YjhhOW13PfZiqNBY3LKwhgGgqi+7f18Vka8Bp+M6xd2oh5qc4nc99mKs/U48ekoq4qqG0U6EhQi/PjzClpXnBr4Xp269YRhGGmR9v0l7fNvs8XKWpTbvwsmjfYuIvASsxHE6rBORTwEvAB/L6vxG8QgbYAztHWHgmuABRhB5LaWZZ6LyxsIU+aOcAh6VVS1qaUO1c8QpC2sYIjIF6FDVN9zn5wKfIwWneBwV/psvnG/XpmHUQC0hwqYBZBhGo2jE/Sbt8W0zx8tZVrtYpqrHqmpJVd+qql9S1V+o6ntU9UT3b2Pr+xm5JmwgYTn72RP2G0cp8ldTH08awhXWhk6Jrmhi14cRk2OAH4jIVuBxYIOqfhvH6XCOiDwNnOO+TkS1a/TEo6eY48EwaqSWEGEbTxiG0SjsfpOMRms+GEYozc5Bamdq+e1X987j4sWzxiZeIjC51FFzmZ6wNixbNHPc9rhtNAwPVX1OVd/pPk5R1evc7XU7xaMccUvmTrdUC8Oog94FPVz/kXll+g7V+hcbTxiG0SjsfpOM3Fa7MNqPZucgtTO1/vare+elVsIsqg0Lj59etdqFYTQLzwa8VKSwVCXDMGojaYiwjScMw2gUdr9JhmjadfUyYOHChfrEE080uxlGmyMim1V1YbPbUStmR0YeKLodgdmSkQ/MlgwjHYpuS2ZHRh6Ia0eWdmEYhmEYhmEYhmEYRqaY88EwDMMwDMMwDMMwjEwpRNqFiOwC/jPGrm8B/ivj5tSDta8+mt2+41V1RhPPXxcJ7Aia/1tXw9pXH81sX6HtCMyWGoy1L5x2siW7DurD2hdNoW3J+qSGYu0LJ5YdFcL5EBcReSLPOVvWvvrIe/taibz/1ta++sh7+1qJvP/W1r76yHv7WoW8/87WvvrIe/taibz/1ta++sh7+8DSLgzDMAzDMAzDMAzDyBhzPhiGYRiGYRiGYRiGkSmt5ny4pdkNqIK1rz7y3r5WIu+/tbWvPvLevlYi77+1ta8+8t6+ViHvv7O1rz7y3r5WIu+/tbWvPvLevtbSfDAMwzAMwzAMwzAMI3+0WuSDYRiGYRiGYRiGYRg5w5wPhmEYhmEYhmEYhmFkSqGdDyKyU0S2i8gWEXnC3TZdRB4Qkafdv9Ma2J7bRORVEfmJb1tge8Th/4jIMyKyTUTe1aT2rRKRQfc33CIi7/e9d5XbvqdE5LwGtG+miDwoIj8TkR0i8hfu9tz8hq2K2VIq7cuFLZkdNQ+zo1Talws7cs9nttQkzJZSaZ/ZUpuTNztyz59bWzI7ahCqWtgHsBN4S8W2vwL63Od9wOcb2J53A+8CflKtPcD7gW8BAiwGHmtS+1YB/zNg37cDW4FJwBzgWaAz4/YdC7zLfX4E8B9uO3LzG7bqw2wplfblwpbMjpr3MDtKpX25sCP3nGZLTXqYLaXSPrOlNn/kzY7cc+bWlsyOGvModORDCOcDd7jP7wB6G3ViVX0YeC1me84HvqwOjwLdInJsE9oXxvnAV1R1n6o+DzwDnJ5Z4wBVfUVVf+w+fwP4GdBDjn7DNsNsKVn7wmioLZkd5Q6zo2TtC8P6JMNsKVn7wjBbam+aZkeQb1syO2oMRXc+KPAdEdksIpe6245R1VfA+ScBRzetddHt6QFe9O33krutGfyZG45zmy/8qqntE5HZwALgMYrxGxYds6V0yJUtmR01HLOjdMiVHYHZUhMwW0oHs6X2pgh2BPm/DsyOUqTozoclqvou4PeAT4vIu5vdoARIwLZm1D39e2AuMB94BfiCu71p7RORw4F7gMtU9ZdRuwZss9qxtWG2VD+5siWzo6ZgdlQ/ubIjMFtqEmZL9WO2ZBTZjiAf14HZUcoU2vmgqi+7f18FvoYT7vJzL6TE/ftq81oIEe15CZjp2++twMsNbhuq+nNVPaiqo8CtHAoZakr7RKSEY1B3quq97uZc/4atgNlS/eTJlsyOmoPZUf3kyY7AbKlZmC3Vj9mSURA7ghxfB2ZH6VNY54OITBGRI7znwLnAT4D1wCfd3T4JfL05LRwjrD3rgT90lUgXA697ITONpCL358M4v6HXvk+IyCQRmQOcCDyecVsE+BLwM1W90fdWrn/DomO2lA55sSWzo+ZgdpQOebEjty1mS03AbCkdzJbamwLZEeT4OjA7ygDNgeplLQ/gBByV0a3ADuBqd/tRwHeBp92/0xvYprtwQnJGcLxNnwprD04ozN/iqKNuBxY2qX3/4p5/G85Feqxv/6vd9j0F/F4D2vfbOOFA24At7uP9efoNW/FhtpRa+3JhS2ZHzXmYHaXWvlzYkXs+s6UmPMyWUmuf2VIbP/JoR+75c2tLZkeNeYjbOMMwDMMwDMMwDMMwjEwobNqFYRiGYRiGYRiGYRjFwJwPhmEYhmEYhmEYhmFkijkfDMMwDMMwDMMwDMPIFHM+GIZhGIZhGIZhGIaRKeZ8MAzDMAzDMAzDMAwjU8z5YBhGIRGRVSLyP0XkcyLy3ho+f6aIfDOLtqWNiPSKyNub3Q6jdRGR2SLyk+p7GobRbETkn6r1CSJyu4h8NGD7bBH5/exaZxj5REQeEpGFKR2rbFxW61i0HTHng2EYhUZVr1HVf292OzKmFzDng5FLRGRCs9sQh6K00zCqoar/r6r+tMaPzwbM+WAYVRCRzoi3y8ZlbTIWTQVzPhQc14P9pOsF/4mI3Cki7xWRTSLytIic7q4Q/4uIbHS3XeJ+tkNE/k5EdojIN0XkviAvuWHkBRG5WkSeEpF/B05yt42t7ojIGhH5qYhsE5G/9r3/DyLyfRH5DxH5QMBxTxeRH4rIgPvXO3aniPy1iGx3j/k/3O2nicj3RGSziNwvIse62x8SkZtE5GER+ZmI/KaI3Ova3Wrf+S4WkcdFZIuI/KPXwYnIr0TkOhHZKiKPisgxIvJbwIeAG9z952b6IxvtTKeI3Or2Cd8RkS4Rme9ei9tE5GsiMg3GrvX/LSLfA/5CRD7m9kFbReRhd59OEblBRH7kfv5P3O1nujbyNdde/0FEOtz3lrn29hMR+by77eMicqP7/C9E5Dn3+VwR+YH7PMomx9rZ2J/TMKIRkf8lIn/uPr9JRDa6z98jIv8qIueKyCMi8mMRuVtEDnffH1vBFZFPuX3bQ679ftF3ine7fdpzvvHdGuB33P7k8gZ+XcOIhYj0u/fyHSJyqbvtfa4dbBWR77rbDheRf/aN0S5wtwfaTcU5wmxrp4hc4/YtHxORS9w+bKuI3CMik4PGZVI+Fn2POOPJ7SJym4hM8h37Wvec20Xk5Ib8oHlDVe1R4AeOB/sAMA/HmbQZuA0Q4HygH1gFbAW6gLcALwLHAR8F7nM/92vAbuCjzf5O9rBH0AM4DdgOTAaOBJ4B/idwu3stTweeAsTdv9v9ezvwbfc6PxF4CTgMOBP4prvPkcAE9/l7gXvc5/8NuMf33nSgBPwQmOFuuxC4zX3+EPB59/lfAC8DxwKT3PMeBfwG8A2g5O73d8Afus8V+KD7/K+AFb7vYLZpj8wevr5kvvt6HXAxsA34XXfb54Cb3ecPAX/n+/x2oMd97tnepb5reBLwBDDHtb03gROATuAB14aPA14AZgATgI04q0u/BvzIPc5XgR8BPcAngetj2OTfpf172cMeaTyAxcDd7vPvA4+71/NK4DPAw8AU9/3PANe4zx8CFro2s9PXN30f+KK7z+3A3Th939uBZ9ztZ+L2ffawRx4fwHT3bxfwE+AYnLnLnIr3P+/1Se7raTjznGp2E7XPTuB/+Y55lO/5auB/uM9vxzcu49BY9DC3rb/ubv8ycJnv2N7n/zvwT83+rZvxsBDE1uB5Vd0OICI7gO+qqorIdpwB5Rbg66o6DAyLyIPA6cBv43R6o8D/dbcbRl75HeBrqroXQETWV7z/S5wJzT+JyAbAr+ewzr3On3ZXTSu9zVOBO0TkRBwHQMnd/l7gH1T1AICqviYi7wDeATwgIuBMnl7xHctr13Zgh6q+4rb3OWAmjt2dBvzI/XwX8Kr7mf2+dm8GzonxuxhGWjyvqlvc55uBuTiOhO+52+7Amcx4rPU93wTcLiLrgHvdbecCp/pWXKfiOAD3A4+rqhfBcBeOXYwAD6nqLnf7ncC7VbXfXeE6AseG/g14N8494V6cKKgom/S30zDyxGbgNPfa3gf8GGdy9Ds4fcnbgU3udT0ReKTi86cD31PV1wBE5G7g133v97t9309F5Jgsv4hhpMifi8iH3eczcRzZD6vq8+CMxdz33gt8wvuQqu4WJ7q1mt0srrKPv894hziRq93A4cD9Vdp+Ek5f+h/u6zuATwM3u6+9/nEz8JEqx2pJzPnQGuzzPR/1vR7l0P9YKz6jONERhlEkKq/jQ2+oHhCR04H34HRGfwacHfK5ytd/CTyoqh8Wkdk43nFwbKRyX8FxKpwR0hS//VXa5gT383eo6lUBnx1R1yUOHMTu0UZj8V+vB3EGW1Hs8Z6o6p+KyCJgKbBFRObjXOv/Q1XLBmsicibJ+6RHgD/GiW76PvD/AGcAVwKziLbJPSHbDaOpqOqIiOzEubZ/iBNpdBaO4+954AFVXRZxiGrjOL9N25jPyD1u//Be4AxV3SsiD+FEb58UtDvBY7Q4dhO1j7/PuB3oVdWtIvJHOJFDkV+hyvueTbbtGM80H9qH80XkMBE5CsdwfgT8ALhAHO2HY6huUIbRTB4GPixOHvoRwAf9b7r5elNV9T7gMmC+7+2Pudf5XJxQ76cqjj0VGHSf/5Fv+3eAPxVXqE5EvNSOGSJyhrutJCKnJPge3wU+KiJHe8cUkeOrfOYN4IgE5zCMNHgd2C0iv+O+/gPge0E7ishcVX1MVa8B/gtntep+4L+JSMnd59dFZIr7kdNFZI44Wg8X4vRHjwG/KyJvEUcHZZnvfA/jpFk9DAzgTND2qerr1G+ThtFM/Nf294E/xYlYfRRYIiJvA3BzzX+94rOP49jMNLefuiDG+aw/MfLMVGC363g4GSdKYRLOdT4HxsZi4IzR/sz7oDiaRHHsJs4+HkcAr7j92EW+7WF29CQw2zs2Ef1mu2LOh/bhcWADjsH9paq+jJPL/hJOPtU/4gz8Xm9aCw0jAlX9MU4o3Baca/f7FbscAXxTRLbh3Oj9QlpPudu+Bfypqr5Z8dm/Aq4XkU04Idse/4STg75NRLYCv6+q+3Hy+j7vbtsC/FaC7/FTYAXwHbetD+DoQkTxFWC5K2BkgpNGI/kkjqjWNhyH3udC9rvBFdD6Cc4kaiuO/fwU+LG7/R85tNLzCI7w3U9wVni/5qYoXQU86H7+x6r6dXf/7+M4NB5W1YP8/+y9f5Ac5XXv/T0zakmzArTIFhjWEpJlXZQQgWQUC9993yokh5AYG6/BGCvg2C6Xue9bdsUCrq5Xtu6LcCBsoljgW8l1CoITO5ZBAuEJWFwLYkmVmIuUSF4JRUYq/wAEgy4ollaAdiTNzp73j+4e9cw8T/fTPd0z3bPnU7W1Oz3945nZPv08z3nO+R47p/anANCqTQpCh/kX2H3A88z8Buz0wX9x0o8+B+ARx/52oiFlkJlLAP4M9vjtn2DbW9A47gUAY46AnghOCmnjxwAmOff8n8K+74/CTr14wnnGu2kR9wA4nxyxYwDLDO0mcB8P/x22fT0L27HgohyXOePLzwN4zEl/HwfwN1G+iG6Fzkb4Ct0KEa0F8A4z/6XivXOY+R0nIuJfAfQz8/9pdxsFISmI6O9hi2s93um2CIJQC6v9r8zcVHlGEIRweMZxkwD8ELbY6g873S5BEAQVEzLXRKjjR0TUC1ts5U/F8SAIgiAIgpAZ1hLR78FW2X8GdpUzQRCEVCKRD4IgCIIgCIIgCIIgJIpoPgiCIAiCIAiCIAiCkCjifBAEQRAEQRAEQRAEIVHE+SAIgiAIgiAIgiAIQqKI80EQBEEQBEEQBEEQhEQR54MgCIIgCIIgCIIgCIkizgdBEARBEARBEARBEBJFnA+CIAiCIAiCIAiCICSKOB8EQRAEQRAEQRAEQUgUcT4IgiAIgiAIgiAIgpAo4nwQBEEQBEEQBEEQBCFRxPkgCIIgCIIgCIIgCEKiiPNBEARBEARBEARBEIREEeeDIAiCIAiCIAiCIAiJIs4HQRAEQRAEQRAEQRASRZwPgiAIgiAIgiAIgiAkyqRON8CEd7/73TxnzpxON0OY4OzZs+c/mHlmp9sRFbEjIQ1k3Y4AsSUhHYgtCUI8ZN2WxI6ENGBqR5lwPsyZMwe7d+/udDOECQ4RvdLpNrSC2JGQBrJuR4DYkpAOxJYEIR6ybktiR0IaMLUjSbsQBEEQBEEQBEFoE0Q0i4i2E9GLRHSAiL7ibF9LRCUi2uv8fKTTbRWEOMlE5IMgCIIgCIIgCEKXMAbgTmb+GRGdC2APET3rvHc/M/9lB9smCIkhzgcPxeES1m09hNdHyri4t4BV116KgcV9nW6WIAgx04227v1M0wsWiICR0Uqsn68bvzdBAOTeFoRuJM12zcxHABxx/n6biF4EkI7GdRFpvgcmKuJ8cCgOl7D6if0oV6oAgNJIGauf2A8AcpMKQhfRjbbe+JlGypXae3F9vm783gQBkHtbELqRLNk1Ec0BsBjALgD9AL5MRH8MYDfs6IjjimNuA3AbAMyePbttbc0SWboHJhKi+eCwbuuh2s3pUq5UsW7roQ61SBCEJOhGW1d9Ji9xfL5u/N4EAZB7WxC6kazYNRGdA2AzgJXM/BaAbwOYB2AR7MiIb6qOY+YHmXkJMy+ZObN9hTqKwyX0D23D3MEt6B/ahuJwqW3XDktW7oGJhkQ+OLw+Ug61XRCEbNKNtm7S9lY/Xzd+b4IAyL0tCN1IFuyaiCzYjocNzPwEADDzG573HwLwow41r4msRRJk4R6YiEjkg8PFvYVQ2wVByCbdaOsmbW/183Xj9ya0TpZWwXT43dtJfb5u+N4EIc2kvc8iIgLwMIAXmXm9Z/tFnt0+AeDf2902HVmLJEj7PTBREeeDw6prL0XBytdtK1h5rLr20g61SBCEJOhGW1d9Ji9xfL5u/N6E1nBXwUojZTDOroJlbSKtu7eXLZiZyOdL2/dGRC8T0X6nrN9uZ9sMInqWiH7h/D7f2U5E9D+I6JdE9AIRfcBzns86+/+CiD7bkQ8jCA4Z6LP6AXwGwPKGspp/4djjCwCWAbi9o630kLVIggzcAxMSSbtwcMOFRBFVELqbbrN1V8m5XKkiT4QqM3ojVLsIUoTutu9NaB2/VbAs3Re6ezupz5fS720ZM/+H5/UggJ8w8xARDTqvvwrgDwHMd36Wws5PX0pEMwDcBWAJAIZdNvBJlVCeIMSNX/+V1j6LmX8KgBRvPd3utphycW8BJYWjIa2RBGm/ByYq4nzwMLC4T25IQZgAdIutN+ZfVplRsPJYe/1loT6faR5nt3xvQjxkbRXMD9W9ffvGvcp9J4h+yscBXO38/V0AO2A7Hz4O4HvMzAB2ElGvEyZ+NYBnmfkYABDRswD+AMAj7W22MNEI6r+kz4qPVddeWvddA+mPJJB7IH10fdqF5FUKgtCtxJV/mbU8TiEddGs+rTtuYM37XaifwgCeIaI9Tvk+ALiQmY8AgPP7Amd7H4BXPce+5mzTbReExFhT3I+VG/dK/9UmBhb34b4bFqKvtwAC0NdbwH03LJTJvRCKro58CKPKGhRyLAiCkDbiWkHNyEqskDKyuAoWROO4oZG49FNS9r31M/PrRHQBgGeJ6KDPvqowcfbZ3nwC28FxGwDMnj07bFsFAYDtePj+zsPa96X/SgaJJBBapasjH0xX81TiTys37sXibzwjkRKCIKQW3Uppjijw2eWNCsuRat7QfH6JJBO8dOMqmGrc4BLX50vb98bMrzu/3wTwQwAfBPCGq7rv/H7T2f01ALM8h78XwOs+21XXe5CZlzDzkpkzZ8b5UYQJQnG45Ot4ALIfgZVlZKwg+NHVkQ+mq3m6wcbx0Uqq69cKgjCxUa2gArb2g9+zS6UV0UjjSmzW6nsL7aHbVsF04wYC8Nzg8tiuk5bvjYimAcgx89vO378P4BsAngTwWQBDzu9/dA55EsCXiehR2IKTJ5j5CBFtBfBnblUM5zyr2/hRhAmC2xcFkeUIrKzhjR6fXrBw8swYKlV7XCFjBaGRrnY+mKqy+oVmNSpQS3qGIAhpwX323LlpX5MDwU89X+dwzRNhnFn5bEupQr8gxEZxuIScUzGmEd0qqmpMAGRKXf1CAD8kO/ppEoAfMPOPiejfAGwioi8AOAzgJmf/pwF8BMAvAYwC+DwAMPMxIvpTAP/m7PcNV3xSEOLELzrJpbdgpdnmuorGhYmRcqVpHxkrCF662vngl1fpHTDoBhsurnNCVv4EQUgbA4v7Qqvy67aPM+OloetiOZcgZAm3fzeJAmo8xjsmWPXYPoCQmVU/Zv41gCsU238D4MOK7QzgS5pzfQfAd+JuoyB4CepzcgDWXn9ZexojGDmDABkrCGfpas0HXV4lgDqNBz/HA3B2xUMU4QVBSCNh1fOjqO2nUKFfEGLDLxpIp8egOqYyzjXHg4uMEwQhPvz6nIKVw/qbF6XS0detmDoVZKwguHS18wGwHRDPDS7HS0PX4bnB5RhY3KcdZKgk17wrHrLyJwhCGll17aUoWPm6bX7q+WH3j3qMIGQFv2gg3UQmTN8v4wRBiAddX/TAzYvw4p/+oTge2oyJU0HGCoKXrnc+qPAbBDxw8yKtArWs/AmCkEbCqudHUdtPm0K/IMSJrh9nQKvWHqbvl3GCIISjOFzC4m88gzmDWzBncAsW3W1XoJO+KF2onEFWjnB+jyX/H0FJV2s+6PATovRToE5hbW5BEAQA4dXzo6jtp0WhXxDiRlc5BtDrNqy69lKsemwfKuNn0yxyAPJ5qku9kHGCIISjOFzCnY/tQ9VjWyPliq2pAumL0oT7f8iQyK7QYSak8yGqE0EMTBAEQRC6D2//rlqc0Kq1N+Rr5vOEm393FrYfPCrjBEGIyNeeeKHO8eBSGWepmpBCxBkkhGFCOh/8nAhBpTTFwARBEASh+3D797mDW6CSoW5M2Vy39VCTuGSlyth+8CieG1yeYEsFoXtZU9yP0cq49n3RTxGEbDMhnQ+A2okgpTSFTkNEeQC7AZSY+aNENBfAowBmAPgZgM8w8xkimgLgewCuBPAbADcz88sdarYQQJBTM+r5SiNl5J1Swe7v83ssnKpUUW4YvOWJsGLpLNwzsFDbrmULZipXbKPuJyu+QhbxS830IiLUghAfxeESVj22Fz5+BwCinyIIWWfCOh9U+JXSlAG00Ca+AuBFAOc5r/8cwP3M/CgR/Q2ALwD4tvP7ODO/n4g+7ex3cycaLPgTt1Oz8XxuqWD39/HRivK4KjO+v/MwAOCegYXKdrnve9u5+5Vj2LynFGk/cd4KWcQ0NdPUSSEIgj9rivvr+hU/RD9FELJNV1e7KA6X0D+0DXMHt2jVqr2oBhGArGII7YGI3gvgOgB/67wmAMsBPO7s8l0AA87fH44v5WUAACAASURBVHdew3n/w87+Qsrwc2rGdb4wPLLrVePzlCtVPLLr1cj7tfI5BaFTmKrpS/lZQWid4nDJ2PFw61WzxZndZsLOpbLKRPmcaaBrIx/CrjYWh0sgQJnnKasYQpt4AMB/A3Cu8/pdAEaYecx5/RoA9+btA/AqADDzGBGdcPb/D+8Jieg2ALcBwOzZsxNtvKAm7tDsVp2hboSE6Xnc/aPu127nLRHNgp2S9B4A4wAeZOZvEdEMABsBzAHwMoBPMfNxx2n3LQAfATAK4HPM/LO2NlrIJCJCLQitY+qgvvWq2XVpg0Ly+M2lgO559knafXvpWudD2BSKdVsPKR0PBAnxEpKHiD4K4E1m3kNEV7ubFbuywXtnNzA/COBBAFiyZInZLFKIFV1odo4Icwe3hO60deczJe8EyJiex9WSiLpfB5y3YwDuZOafEdG5APYQ0bMAPgfgJ8w8RESDAAYBfBXAHwKY7/wshZ3WtLTdjRbSQ5iBqIhQC0JrmDioxfHQGXRzqbVPHsDpsfGumaxL2n17STztgojyRDRMRD9yXs8lol1E9Asi2khEk5O4btjVRt12RjYNScgc/QCuJ6KXYQtMLocdCdFLRK6T8L0AXnf+fg3ALABw3p8O4Fg7GyyYoQrNBuxIAcbZTts0xE93PlNWLJ1lfJ6ClceKpbMi79eJEHRmPuJGLjDz27A1VPpQn6rUmML0PbbZCdvmLmpro4XUUBwu4c5N+xJPIZIQX0GwCXJQ98+bIY6HDqGbG42UK5lNs1Q9e0U8uL20Q/PBFdBzcQX05gM4Dls4L3Z0D7Ow2/sk5UJoA8y8mpnfy8xzAHwawDZmvgXAdgCfdHb7LIB/dP5+0nkN5/1tzIbx8UJbacwfzyukOcJ02t7zwXM+9/f5PRYKVvOjPU9Ut3qkymu/9arZTXnu9wwsjLyfKk++nRDRHACLAewCcCEzHwFsBwWAC5zdailMDt70Ju+5biOi3US0++jRo0k2W+gQbsRD0ilE7nVKI+VIDkhByDJrivvxvtVbMGfQ/nnzrbJ2MtI/bwY2fPFDbW2fcJawkYtpn6yvKe7H7Rv3Nj17e3ss5f6Sdp8MiaZdeAT07gVwh0dA74+cXb4LYC3sMNdYMVWrjrq/ILSJrwJ4lIjuATAM4GFn+8MA/oGIfgk74uHTHWqfgOBSmt7Q7LmDW5TnCNNpxxXqbXoedz/3c27YeRgX9xZw/82LtJ+z0xDROQA2A1jJzG/56LFKCpMAIFiENa6BqIT4ChOVa9bvwC/ePFm3zS2tWbBytRLR5/dYuOtjl4k9dBjV3AgAcgSMK3rBNE/Wi8MlbNh5uKlzL1eqmDIph4KVlzlgm0ha8yGMgF4drQrlhRGCcgfU5Uq1lrfcl3HxFCG7MPMOADucv38N4IOKfU4BuKmtDROUhBUqymp5viwJMhGRBdvxsIGZn3A2v0FEFzHzESet4k1ney2FycGb3iRMIPwcgHEORCXEV5iI3PLQ802OBy8zpk3Bc4PL29giwQ/v3KhRkF/leEj7ZF2n7QcAJ8oV3H/zoq4R0Ew7iTkfIgjo1W+MuMqkWoEE7Jvu9o17sW7robobqnFAXWWuGZDcdIIgBBF2FTOrUVZZWa11IuweBvAiM6/3vOWmKg2hOYXpy0T0KGyhyRNueoYwsdA5BvNEoVKIgiKhsuqAFISo3PLQ83juV/6yVOJ8Sw+NcyPdJCxPhHHmTEzW/e6vi3sLqYrc7HaSjHxwBfQ+AmAqgPPgEdBzoh9iXWFSrcytemwfQEClyrVt3tW6rAyoBUFIJ2FXMbNani9Dq7X9AD4DYD8R7XW2fQ2202ETEX0BwGGcjRx6GnaZzV/CLrX5+fY2V0gLOsdgWMdDUIRQVh2QghCFNcX9gY4HQJxvaSIoBc1lnBkvDV3Xhha1js7pK1UN209izgdmXg1gNQA4kQ//lZlvIaLHYAvkPYr61aeWURlLRREb5HUuZGhALQhCComyiplFD3tWVmuZ+adQR9kBwIcV+zOALyXaKCExgqIMwjCwuA+7XzmGR3a9iioz8kT4wOzptchJk/ObLGhk1QEpCGEpDpfw/Z2HA/fLQSaAacJ0DpS2/t8PldOXANxy1Wx59raZpDUfVOgE9FomjMOgNFLG3MEtyKWnNr0gCBlkoqxiTpTPKWSHuHVIisMlbN5Tqo0Jqsx1K7Ym5zdd0MiiA1IQwmCSauGyvkG8WOgsusUGL1nr/8Xpmx7a4nwwEdCLAxNjqWsXoHQ8EOxBRv/QtlTcmHGu7AiCEC8TpUObKJ9TyA5xp02ahBoHnT8rEUKCkCRhHA+3yspzR1HNMZYtmNlUGcLKEc6ZOgkjo5XM9v9BTl8/3cCw4x6Zu+npRORDYqhW5qwc1Wk+mODumQY19ywpzAvCRGWirGJOlM8pZIO40yZNj/PbTyKEhIlOWMfDPQMLE26RoEOplff4PoDrRSYJwM0fnNXV/6souoFhziVzt7N0lfNBtzLn3Ra2OHunxSdFEFMQuos4PeuttqE0UpbywkJmiTvKwDR6MkjPBZAIIWFics36Hb7lNL28nBGhwm5GqZWnWKxlANsPHg19/iyt/kfRDQxzLpm7naWrnA+AfmXO3TZncEvoc3ZSfFIEMQWhe4jTsx5XG9zUM/HMC1kj7igD1fkaMTm/RAgJE5FbHnre2PHQP29Gwq0RTAgzlwg778ja6n+c34XM3fzJdboB7eb8Hiv0Mb0+xxSHS+gf2oa5g1vQP7QNxeFSK81rQrfCIvmjgpA9dJ71xpUG10Perja047qCEDcDi/tw3w0L0ddbAAHo6y2EKotpcr5br5od2/kFoVsxLacJABeeOxkbvvihhFskmBBmLhF23uG3+p9G4vwuZO7mT9dFPgRx3eUXGZX98aLQpATQHq+e5I8KQveQ5CpDXOcVz7yQJeKOMpCoBUEIx5rifuNxdf+8GeJ4SBHLFsw0/t8tWzAz1LnTtvoflAJiqhtoMgeTuZs/E875ECVn6US5otyeZE6P10imFyxMtXKZVpgVhImEV1OBcFa4KUd6Z2YjDGDu4BZfnRoioDAph9HKeN11dOSJMNXKoVwZ1+6TI0JxuCTPGCEVJJkz7HfupLVZspQLLQg6isMl48mriEumjzBzorDzpzRV/jFZLDbRDTR9Vov2jz9d63xYU9yPH+w6DFcrpGDlcN8Nl0fyuDHQVHazOFzSClO16tVrNJKRcgUFK4/7pQ6yIKSeRvv1OgQU2kW+BO3ODIw6jgSTU1eZUa4wcgB07ocqc6rzMoWJQ5LRhX7nBqBVgHcFyFppS9ZyoQVBRXG4hJUb9wbulwOwXsavTRDRLADfA/Ae2F3yg8z8LSKaAWAjgDkAXgbwKWY+nkQbkozGbOfqf5Az13SxuDHyrRUnsUTR6elKzQc3BMw70C9XxnHHxr2++g1+uIOD4nCpNnDQ0apXL2t5UoIgnMVPU8ElT9Sm1mgg/zbI80ZIA0n2hX7n1inANyqfR22L9PFC1rnloeeNHA9WDvj10HUyCVMzBuBOZv4tAFcB+BIR/TaAQQA/Yeb5AH7ivE6EJDUf4tbk0eHOyUpORUPvfM0lSgqIyXmFaHRl5MMju15Vbh8HMDKqTqEwwTs40E0u4vDqpS1PShAEc0zsdJzZKE0iKcYZoICry/NG6DRJ9oVxnTtKW6SPF7LM0nufxRtvnzHad91NixJuTXZh5iMAjjh/v01ELwLoA/BxAFc7u30XwA4AX02iDXHqHKhIcvXfm97aSGNUQ5QUECmXmRxd6Xyo+iRVtzrYDxocxOHVS1OelCAI5hSHS8gR+T6DgLO2rEvdSpo8Ed4zfarv9eV5I3SaoL4wTEhs4769PRaOKxYjwtpmFDsx6eNFE0JII5ff9WO8ddo/ss+lf94MuWcNIaI5ABYD2AXgQscxAWY+QkQXJHXdOHUO2klj6poK73wtSgqIOImTI7POB13H3Eo4TL7FScP5PRbWbT2E2zfubclYRSVVELKH2xkGPUOsPNVsOajzTIoVS2dhySUztNeX542QBvz6wjC6Cap9rRzBypNydW/3K8eMRPSi2klQHy+aEEIaCet4kKoWZhDROQA2A1jJzG+RYVomEd0G4DYAmD17duTr66IT2vWsieJoNUlvvbi3UHfu3h4LUyblcKJsJt4vC8HJkUnng65j3v3KMWzeE835ULDyuPHKPmz811eb8jpd/CYNVp7wzqmx2kpKK4MFUUkVhOxh0hme32Phro9d1iSE5HaMpyvVmoCklQPGxv2jtaJUu1ixdFad4rgbtug6X/vkeSOkBL++sH9om3FIrFLDYZzRW7AwbcqkpnObaC/kiSJHOgb18RLuK6SNa9bvMHY8SFULc4jIgu142MDMTzib3yCii5yoh4sAvKk6lpkfBPAgACxZsqSlwG4TB0AUJ0FxuIS7nzpQmxv1Fiysvf7sGCiqozUo+qBg5bFswUysenxfzcF8fLQCK0/G4v2yEJwcmXQ+6DrmR3a9ql119BuYewfbSy6Zga898UJtAlAHA7tfOYbtB4+iXKnWDdZPnh7DSENJzlYGC6KSKgjZQtcZEoCXhq5TvtdpO+/09QUhCN09GiYkVrfviXIFe+/6feP9vYwzt2Q7frbXiXBfIsoD2A2gxMwfJaK5AB4FMAPAzwB8hpnPENEU2Ar9VwL4DYCbmfll5xyrAXwBQBXAnzDz1sQaLLSN4nAJv3jzpNG+/fNmiOPBELJDHB4G8CIzr/e89SSAzwIYcn7/Y5Lt0DkAHtt9GDt/fRxVZuScSZQ7MzJxEhSHS3WTf8Cu3rfqsX2143TzubVPHvB1dOiiEgB7zHXjlX3Y8sKRumsDto7F3U8dMHp2y0JwcmTS+aDrgP0cD/ffvEjpwbrxyj5sP3gUt2/ci3VbD2HZgpmwpeCaqYwzNuw8XHNiVJlrXrDbNaq/khskCBMDCdEThNYxXV0LY2+6fVVltP32112nOFzC2icP1BYgpk3Ow8qbh/eatjfhZ8lXALwI4Dzn9Z8DuJ+ZHyWiv4HtVPi28/s4M7+fiD7t7Hezo9L/aQCXAbgYwD8R0X9i5vbnlQmxURwu4c5N+4z2lYiH0PQD+AyA/UTkTiK+BtvpsImIvgDgMICbkmyEzgHw3K+O1V6rAsKDFljXbT3UNPkH7LmUe5xujjRSrtSepypHhyoqwYUBbD94VKnpA0C7XYUs0CRDJktt6jpgXem4i3sLdSVfANshUa5U8f2dh+vKqGzYedg3dLrRjMqVKlZu3Iucz7UFQeh+Vl17KQpWvm6bhOgJgjlhSpuFsTfVvi6qa/jt33id4nAJqx7bVxf5ePJMFSPlSuTybO1+lhDRewFcB+BvndcEYDmAx51dvgtgwPn7485rOO9/2Nn/4wAeZebTzPwSgF8C+GAiDRbagltOM0jH6Lwpebw8dJ04HkLCzD9lZmLmy5l5kfPzNDP/hpk/zMzznd/Hgs8WnVYWSf2ctH7ndd8znSM1liJ253RRrh2G4nAJ/UPbMHdwC/qHtkmZzZjIpPNB1zGvWDrLt8MeWNyHVddeCiunLzIXNWlK9XCWiYcgTBzaVdNaELoVP62DRsLYW+PiQyO6ga177vN7LPQWLOV11m09pNWJUp3fZDDbgWfJAwD+G85GVb8LwAgzjzmvX4NdAhDO71cBwHn/hLN/bbvimDqI6DYi2k1Eu48ePRrn5xBi4pr1O+pWvnWcNyWPF+7+gza0SEiKVhZJCdBOyP3O674X5Oj10uhQGFjcp32mX9xbQG/BUr6n295IGGe4EI5Mpl345eEsuWSGb8jm3U8dCBwotEKeCOPM6O2xwIxaOofkCQlC9yMheoIQnbBaB2Hszd137uAW5SKDamBrcm7TFbbXR8qhxNXa9Swhoo8CeJOZ9xDR1e5mxa4c8J7fMfUbYxTKE+KlOFzCVze/gNNjCt2zBuZfMA3P3nF18o0SYseb3jbVir4OzUAthaIxZW7ZgpnY+G+vNqVe5Ah1i8JA/Xxu9MyYbxlkL0GikKse21c357NyhLXXX2b02e5+6kCg8O+a4v4mvUET0e6JXko5k84HwL80jJ/4SZhcnyiMMzfpS0iZLEHIPm5nEbYyRKPaM2BXqWA+20kBamfqLQ89r119UrVB1fn/aN+RWki4qtqGIHSKxvt1esFqEm4GgN4eC/1D22IZqGn1HAhY/I1nMDIaTqfBRB/C3S+lVSz6AVxPRB8BMBW25sMDAHqJaJIT3fBeAK87+78GYBaA14hoEoDpAI55trt4jxEyQHG4hNs37jWqmvTNT10h/UhGaXSCllUC+yHQOVY37ynhg3PObxrDNKbIN87bGs8F6CPJTUQho0zy/eaLrsN5TXG/siRz0JxPSikDxAG5XGlgyZIlvHv37lDHeL1Rbnm57QePGg0SWsENAVJdRx7Y2YaI9jDzkk63IypR7EiwUXWGLgUrrw2JVqk9N2LlCWDUeecLVh7vPX+qscK4K567eU8psNynlSes+2TnnkNZtyNAbCkOVDalsgWdfURNQ/CzZS+m13A1H/wiKt1z6SZ2fhVx/IjblpzIh//qVLt4DMBmj+DkC8z8P4noSwAWMvP/4whO3sDMnyKiywD8ALbOw8UAfgJgfpDgpNhSOigOl7BSI5zeyAOGpQqzRNb7pTB21D+0Lda5UNC8R5WW3tdbwHODy7XnbGdkgOpa7kKTjr7eAl4/UYbfFFr3GXXff9B3kgVM7SiTmg9BuN4o94avMteEJeOgYOVx61WztfoSftU4gvKFRNxEENKHasXSRZeT7h7n53gA7NJPjROXcqVq7Hhw939k16uBEyr3err2CkK7UNlUpco4Z+qkOq2DaZMnKe0j6j3s6inoBKrDXmNgcR/W3XRFXR7xtMl5pUaELgc6pcLUXwVwBxH9Eramw8PO9ocBvMvZfgeAQQBg5gMANgH4OYAfA/iSVLrIBmEcD/3zZnSd42GiEWcVPpN5j0kb1hT3Y97qpzFncAvmrX4au185hucGl+Oloevw3ODyRB0PKl2HoPliacTf8QCETyOcSNURM5t24ccju14N3qklGFteOIJypaoMffbzmPmFWEoojiCkk6BOIQ2dSZAiuZeJ1MkJ6URbYm20guH/7/drr+cObgl1vAkDi/u05bGjXMNUnyEoP7nTMPMOADucv38NRbUKZj4FTek/Zr4XwL3JtVBIgjsMHQ/zL5iGDV/8UMKtEZLGNFXMhBuv7Auc9+jaALjznhfqUj/cBWMAiVdQ0aXC6SI2wqBLF+xEKeW0aUx0ZeSD3w1jqqrqR7kyXssFqjLXBg/e+rN+19ENaMIofQuC0D6COgUGlJFK7VzRDFrJ9ZLSlVZhAhEUBeBGAep681bvYZPjG9vSakSiVMQR0kRxuIT3DW6BScZ//7wZIi7ZJYSpMBHE9oNHQ5/TnTOdXXBV34HJLyTr52Pu3C4qVp7wzqkxZaWMdpdSTmPVjq6MfPDzWOXMx+fGNEYzuL/v3LRP2Y4cEYrDpaYBRxpWTwVBaEa1YtlIY6TSmuL+yLZLAC44dzLeePuM8f7vm9ljlKph5UnZyaXNMy50N35RAEG6DHEM1IJsmmDb9OJvPIN3To3VUj9ajUiUijhCGtCJ5amQiIfuwn3++KXaWHkKTBkFzs5PBhb3Yfcrx7T3lFsJ0Du26B/a5jumMo088Bu7qN4DzopQ5nw0KVztB7/9eqwcTo9xU7WLk6fHmsST3bmiq+vQrvFWGoWOu9L5sGLpLK0BnDyTTAqiqkwXAOXgxtV+8O4H6EOhZJWy+yGiqQD+GcAU2Hb5ODPfRURzATwKYAaAnwH4DDOfIaIpAL4H4EoAvwFwMzO/3JHGdwHF4RLWPnlAWxUiqGN1KVeqWLlxL77+w/0tPWsYwJuGjgd3f53jgXC23p33c3k75d4eK9YJliAE4adS7jcoNakwE+X60wsWiIDjo5U6m1Epnnd64CYIrRDW8SARD92HX6qEd+IdlErhjQ7bvEe/kj7O3CSqG7Q4o1osVlX08gpte8cuAJpS2Vc9tg8g1BwrKoeCN5rd68RQOcv/TBO5FpQu2E4ndBoXtrvS+eDmCJk+XOPA6yAwqZ+rGrykPR9USJTTAJYz8ztEZAH4KRH9L9iCXvd7FMe/AODbzu/jzPx+R3H8zwHc3KnGZxmVWv3x0QpWPb4PwNlJihteaIKf48E7sfEjzjpELzd0+o0dqUywhE6gG4DpBkUExKoGrrq+qRJ8ySkvJ/YhZInicMl4bNw/b4ZEPGQcv6gAvzmH+2wMeh6WRsqYt/rpwCgFNzXVG3kQNMYZZ3sS741YaHQmbNh5uOk83nT1JlFjTVUiVWSGF/e1t2z6lEl65YI0LSanqS0uXel8AGwHhOqmDIuJ6IjXQRCmfq4uWkJCnycebNe8fcd5aTk/DGA5gD9ytn8XwFrYzoePO38DwOMA/oqIiLNQOzdlrNt6SNkhuVUhXPuLy0vc7n+QqoPxq97hRVK+hE7QycFSGNE0iQ4Sssaqx0RccqIQJGJvMucwGQOYpkeURsr2og7rnQCNeDUKpkzKNY1bdGcJO3apMjct0qg45ZnTjZQr2j4gTYvJaWqLi5HzgYi+wszfCtrWCfzyeVod5BesPD4wezr+96+Oac+VJ6oTjDId1ANq7QfJB80+Ue2FiPIA9gB4P4C/BvArACPMPObs8hoA9+boA/AqADDzGBGdgF0O7T8aznkbgNsAYPbs2a18rK7Fr5PyvhenQnS70HUwph1zJz3jae53hGRJarBUHC7VrVz1Fiysvf6yuj43jMp52qKDxGYEP65ZvwM+62E1JNUiPGm0PZNc/6A5R9zjHhMdCRXlStV4bgWcHbuYtt1EsDuMdkKaFpPT1BYX08iHzwJoNKDPKba1FZVXL6xXTcf5PRZOVap47lfHtPsUrHyTUnUYb5tO+8EUEYhLLZHsxamJvoiIegH8EMBvqXZzfquelE03PTM/COBBAFiyZIlERSjw61y9k+9V115qXAs9DfjlxpsMKDrtGUdK+x0heZIYLBWHS1j1+L66we9IuYKVG/di5ca9NXsJW14tZdFBYjNCE2E0HiTVIjKps71Wcv3d+UUWFlxUqazHT57GaGXcOM3V5Lmv+95031GaFpPT1BYgwPlARCtgh3zPJaInPW+dC1vkrqOovFB+XjXTm7Bg5XCqMu6bMqEb2If1EkZdOQkKpxLaT1z2wswjRLQDwFUAeolokhP98F4Arzu7vQZgFoDXiGgSgOkA9J4yQcuqay9t0nwAmqtC6EQnrTzh5t+dVSd6BAD5HKGqcIK6EVUqx2aPlTPqMIPev/Wq2b71sVUry1aeMG3yJJwoVzrqzGzVjojoOwA+CuBNZv4dZ9taAF8E4Ap3fI2Zn3beWw1bQ6UK4E+YeWtMH0XQ0BiBADRHIbiDpTXF/Xhk16tYuXEv7ty0D++b2YNfHj0Jd6zYY+XwZzdcDgBNg+U8EVYsnYUll8zAHZv2wm9NojRSxsqNe43HCS46vSdTG4pjESHtYzWhc1yzfodRFSQguN8Qmkmz7QWlr+mePUHVhkwgAJMn5XB6zKSQqz3vmjFtSmhnh5UnfHDO+U0R6qPO/M30Wd5nEOU5vWA1VbBwEf2fcARFPvxvAEcAvBvANz3b3wbwgt+BYdX7ozQ+zIpDmAqbfk4H91yuEuztG/fWGW2U1dEoKye68J87N+1rapPQNlqxl5kAKo7joQDg92CLSG4H8EnYNvNZAP/oHPKk8/p55/1tovcQDddG/KpduNwzsBBLLpmh7LB12/06eNPyUMsWzMT2g0eV+7qTsypzbbIVNIBMYxieh8h25PD3AP4KdjUYL/cz8196NxDRbwP4NIDLAFwM4J+I6D85UUhCAqgiEAA7CmHVY/Uir40rtlXmponUaGUct2/ci0k5anIgVpnx/Z2HQ4lPh32ILlswE0C0BYEYFxFatRmhC1lT3G/seOifN0McD9FIre0FlTP2LrrUKkEgXPq4DgaUjod8jsDjjMZ3xsa5qXKFF51TeNrkSXj5N+WW0uxNozz9MjNUi8gSna6HkpqvEBEBmOZV7wfwFdjq/U941Pv3MfO3/c61ZMkS3r17d9N2U1VqlzC5nH70FiycPD1WN9CxcoR1N12BgcV9WPyNZ5Tq8brr9/UWQit4zx3cEmhsqrQQITpEtIeZlyR07sthC0rmAeQAbGLmbxDR+3DWWTcM4FZmPu049/4BwGLYEQ+fZuZf+11DZ0eC0E6StCPPNeYA+FFD5MM7CufDagBg5vuc11sBrGXm5/3OL7YUnaB+29sfmqiodxo3CvLOTftC9++678J0TNAOW0oasaVkKA6XjBfCJNUi+7aksyPdBHjR3c8oV/GJgCQfub2eksaN6OZIcc3dVIQp3ew37yKgrpSorjRnt8/JTO1IXyek/mQ3ENEviOgEEb1FRG8T0Vt+x7CNTr3/cWf7dwEMmLRBxaprL0XBytdts/IES1UcFuaKrH4UrDzOjFWbVlgq44y1Tx4AANz1scua2lWw8rjqfecrz+munITBRAjOW25GaB8R7eUFZl7MzJcz8+8w8zec7b9m5g8y8/uZ+SZmPu1sP+W8fr/zvq/jQRCyRhQ7CuDLRPQCEX2HiNyHcU241cEr6trYntuIaDcR7T561LzsqlBPUKSf9/20Ox6As9EKuraaCtqaHuNHAjYjZJBbHnre2PEgVS3iIa22N7C4D88NLsdLQ9fhucHltYmvLn2AOVykOBBu/xPlCkYUjgdA/7wfZzZKiwiDlSM8cPOiuu+kOFxC/9A2zB3cgv6hbSgOl+qO8Zt3Nb7nJ04pGDofAPwFgOuZeTozn8fM5zLzeUEHEVGeiPYCeBPAs/BX7288NnCgN7C4D/fdsBB9vQUQbA/Wuk9egXU3XYHegmX40cw5v8fCfTcsrOUSNeIas6pd992wEC//Rj2g2H4w86vaSwAAIABJREFU/EBW5XhRkTIxrIlCJHsRBKGOOO3o2wDmAVgEO0TWDY81Em4FbPFWZl7CzEtmzgzvMBZsghzn3vdNFMg7TZ7IN0Q5zIDV5JgApO+Z4Kwp7vcVSvdy4bmTpapFfHSN7THCORRU++uOv7i3oH2+6Z73bsSGyZxHhZUj5BsXpRteupEKpZFyXXlPrwNi1bWXwso3t9HKUVPaRtyO5W7DtNrFG8z8YtiTh1TvbzzWSKVfp+C5bushrWcvKm4OuJ9HuTHE6f6bF9Xad7vmuCg3Y2POdk4TltTJUnkTmEj2IghCHbHZETO/4f5NRA8B+JHz0hVudfGKugoJsOraS7XijznnfZcVS2eF0mtoNwUr7+t4CMolTqCkqPQ9ExxTe5FymrGTKdtzxa11MOwFV1V6hG5/v9dA/bNNpfuTI0ZjzQD3GHfOE1ZTj2BHxDd+1kqVa1EIuqoeqrKkAJTlmgE7jc6d+/VqvjuZk9kEVbu4wflzNxFtBFAEcNp9n5mfMLmIoXp/rCThXXKFoHQG2WPlmsSjbveU8Yr7ZvQ6XnT5RR0ulTehiMteBGEik4QdEdFFzHzEefkJAP/u/P0kgB8Q0XrYgpPzAfxr1LYLwQws7muqdOEyvceqW0xwBfC8gqqN1S7CVqeICzdXWDdwzRMF5vfGJfwqfY+wprgfP9hl5niQqhbxkUXbKw6XmlLHG8lpdBmi4q1mVBwuoaqoTNjoC2msgASEf94zoHWyuNENfg7kxme7asFbJRxs5QhWnuocLDInO0tQ5MPHPH+PAvh9z2sGoDWqCOr9sRK25KUJrhfsro9d1uS1s/KEKVa+yVjdPXRtietmTLl6/UQhsr0IglCjJTsiokcAXA3g3UT0GoC7AFxNRIuc418G8F8AgJkPENEmAD8HMAbgS1LpInl0Ob+q7fcMLPSdKM0d3NJye7xiYd7oRT9xMa8gZCvCYjHVX5e+ZwKz4OtP45RPmXkv4niInczZ3rqth5qiDhoJ8E2Exlv5Yt3WQ03VLnR4qwqePD0Wu6M5qKqHSeqfSt+hMs4g2IvVI6OdLV+eRnydD8z8+RbOfRGA7xKRV73/R0T0cwCPEtE9sNX7H27hGlpU4Yxx8PpIWTvR16VV6NCV84tKTIMYISIt2ovQBUhppdZp1Y6YeYVis7afYeZ7AdzbyjWFcOgWB3p7/LWaVPYVx0IDA1j8jWfAbAuiuSmTuqgGb7TiwOI+7H7lWF10xo1Xtrcvlr5n4mJS+cxFHA/xk0Xb84sMT6qyhDeFwTQyfaRcqaXPx72YbEqVGcXhku/zXPd5GMCpynhd+r1gY6T5QET/Q7H5BIDdzKyMXGDmF2CXAWzc/msAHwzTyCi4/2hd+auouIOUuz52Wd3KR3G4pNVd0J7L2dWbJxR1siKTnvQQxV6E7KMKvXNTtcQWwyN2lF2C+qNV116qzPl959QY1hT3Y/vBo03H6uzrxiv7mmrDW3kCGIGhxV68UYt+526MViwOl7B5T6nW91eZsXlPCUsumdF2uxebmVhcs36HOB5SQpptr/F5rEsB7+stJCqIWBop207exK4QDlNHizuOA9TR5X4O8EbdCMHGtNrFVNgq4b9wfi4HMAPAF4jogYTa1jIDi/vwzU9dEVkhVcfx0QpWPb6vpoLqDorCOjlGyvZ5/NRVTTBRaRXaSibtpdsJKqPkt4+7fc7gFsxb/TTmKM4Rd2klk/Z2OWJHGcSkPxpY3Idpk5vXPirjjA07DyuP1dnX9oNH66pL9RYsnDNlUijHgwrVud3KVd6BZMpKqonNTBDWFPfjF2+eNNq3f94McTwkTyptT/U8fufUWFPVBgIw510F5BKuMBSnjkQrFKw8ViydZVTVo1yp4o5Ne7HqMfV8LagSh1S4aMa02sX7ASx3S2QS0bcBPAPgGgD7/Q7sNI0pEpNy9aIm8y+YhtEz46FDelyl1IHFfcrBR5jzeIniJfMb/Ii3rSNk1l66keJwCWufPFBX/UYVlbCmuB8bdh6u02lZ/cR+7H7lWN3qp+tkLI2UserxfbVz6DqY0kg5dHSTRFEAEDvKJKb90QldnfmG1+6xfqXL3JRDlfByK3jP7bdPmO0JIzYzAbjloeeNy2k+ICHf7SKVtqfTIyhYOYxVufa8ZcD4nso6fZ5xmGl1mHEGxrl5vrb2yQPYe5ct86GLtJcKF82YOh/6AEyDHUIE5++LmblKRKf1h6UDEy2EMHlzLq7DIu5BRpjzFYdLWseJeNs6RqbtpZvwm4x4J0TF4VKd48G7j5vLraJSZdz91IHA0Dt3u6kTQRyKAMSOMonpZDyMVoPruFPtnyPC3MEtNUGyOHWeTAaNunZ1aMApNtPlFIdL4nhIJ6m0Pd3zuOxTZjOtxFHZqFEsuK9FzaCRcqVOE0KqDpphmnbxFwD2EtHfEdHfwxaK/Esimgbgn5JqXKuECVuOMlAg5xpxDzIu7i0Yh4h7c5FU5xE6QibtpRsJikpyO+Z1Ww9pO7WgdCo3jHDVtZcah/AFhWSnbDW1U4gdZRBdv9O4XRWqqrMfN2JIFdpaZa6FwY5ooimiYDpoVLWrgwNOsZkupjhcMhY2n3/BNHE8tJdU2l4n5wF9MV47TxSLVkTj/Ork6eYUlLC447mBxX2BaXphiZp+m/a0XaPIB2Z+mIiehi0USQC+xsyvO2+vSqpxrRA2bHnZgpnG4TcuDPumcytdxGEYVo6wbMFMo7b7TaxaHfyIgGV0smgv3UrQZL23x8Ka4v6WlZTnhCz3Vxop1zqDMAJGE8mhKHaUHsL0B6pKUyqRRrf/ckW/+noLWLZgplbgsTGFMqzAcyMEYHrBApFd4rO3x6qrdmHa56WpzLXYTPdyzfodxhoP8y+YhmfvuDrZBgl1pNX2VM/jOCIIguifNwNzZ54Tel6lI47CAar51Ui5AitHtZKYvT0WToxWjEuBAvXjzDirDkZNv81C2q6v84GIFjDzQSL6gLPpVef3e4joPcz8s2SbF52wYcvbDx6NdB03J3RlyDKbOsaYlcaqarvfxKoVb1sWbtw0kmV76VaCQruPj1Zi6xzDsuqxfQCd1X3x2pnJBK5bETtKF2H7g6DJeOP5qsx1DoYll8zQHusd2M0N6fDz0tdbqAu9bZVOl7kWm+lult77LN54+4zRvv3zZmDDFz+UcIsEl7Tbnup5nHTZyvkXTMPLvyl3TEPCdWRveeFILTK1t2Bh7fWXaTUw3iqPgRFNEDOpRaGo6bdZSNsNiny4A8BtAL6peI8BxNd7x0zYsOWo4czuTddq3pCLn3PPNGe2r7fQ0g2WhRs3pWTWXroV1SQ+LajU+F07cydGaVhN7QBiRykiSn/gNxnXne/OTftw+8a9xve6rv8jsgea7irWO6fGmmzt5OmxptrtGY/2E5vpUsTxkHpSb3uNz+P+oW3KZ+e0yXn09kzG605Fh6i8/JvRJjH9duI+u+8ZWFj3XF+39ZB2nmYSWXHrVbMDSy/HSdT5ahbSdn2dD8x8m/N7WXuaEx+6gclUK1cnLjltch73fmJhJG9gPkc4eXoMcwa3GOV6t4oqZzaJ1dEs3LhpJMv20q14vf5Je/vjwrWzTq+mdgqxo3QRpj8wmcDrzuetIqOLrPCev2CpJauYgVOVcdzviO0Vh0u4+6kDdStaI+VK3TWyHu0nNtOdXH7Xj/HWaTPH+a1XzZZymh0gi7anmzvc+4mFtedhK9HcnXQ8AKgTEm98rkdNOenrLeCegYW+kXlxUhwuaVMLgyItspC2ayQ4SUQ9RLSGiB50Xs8noo8m27TWWLZgpnJ7uTJed+OdPFPFnY/tw7IFM5HPhXMhVMe5JnCVtKmpnApJiJsA5oJhgpos2ks3M7C4D88NLo9V/ChJxM5sxI7SgWl/oKon79ZBNzmfF5Uoa+P5R33U2r3HDyzuQ8/k5nUW7z5+0R1ZQmyme7hm/Q5xPGSILNle0Nzh7qcOdLaBLeIVEm98rkeZq1l5qs2/3PHkS0PX4bnB5cr5Vqtij25fp3I8mCwwp0wEWYlptYu/A3AGwH92Xr8G4J5EWhQTYTQcquOM7QeP4ps3XYFpk5vVtDuNn1PBxBBU+BlHFm7clJM5e5kIqO7rkP7GyFh5gtVwMStHTSrLYmd1iB2lANP+wHQCr6ta0UhjhERQ5Rq/44OiN7oo2k9spgtYeu+zxuKS/fNmiOMhHWTK9rxzh1XXXop1Ww/V5gNRdA/ioK+3EMsczHVwx/X8njZ5Uqi5lYkT3g9dX5cnMlpgTmphOk6Mql0AmMfMNxPRCgBg5jIRtWnYHo2wN13JyQf6xAf6OiZAp2P0zFis5wsKMU2TendGyZy9TAR09/XuV47hkV2vosqMPBFWLJ0FAPjBrsNolGXIEfCh983Az4+8reygieyw716Pir57HdW1VdvEzmqIHaUA0/5Al9bU2BebVq2YXrDQP7Qtskja9IJV+zsoDDULYaqGiM1knDAaDxLxkCoyaXuq+UC78QoAtyIk7OKOreIS1zwRooTz2icPtKyZp5u/jjMbnyPtabumzoczRFSAE7FCRPMAnE6sVTEQ5aYrjZRT53gAbPXVOPNPTQTE0n7jppzM2UsW8Msnd98rjZRrpfumTc7j5BlvTmMON175XgD2P+b/nDiFlRv3oq+3gG9+6goAdrih6hnQW7Dw0SsuwhN7XqtTcO6xcrjhyvdi+8Gjdrum+zsQ/ET4XEEkv/0mGGJHKSGoPygOl7S5tKoJvPd8jYNfwI4KOnlmrJbWGCVX9+SZs6KSQfpIXVRdRmwmw6wp7hfHQ3aJZHtE9B0AHwXwJjP/jrNtLYAvAnBDuL/GzE8n0eiwEWVJ4E2Tb9Vh0Fuwan1LXILjpk7o4nCp1mc1EmZBvIuc4VpMnQ93AfgxgFlEtAFAP4DPJdWoOFDddDkgVO3WNBFntYkuCjFNK5mzl7TjF60DoKl0H4A6xwNg6714HQtegbtVj+3DOOwULBUjZXVJztGGc4YVqsu60F3CiB11gChVH9ZtPaR0DBAQOIFXRVaMnhlriixiNNent/KEaZMnKQd8lSrX+syg6I0uivYTm8ko16zfYZxqIY6HVBLV9v4ewF8B+F7D9vuZ+S/jbKCKNIz7N+8pYcklMwAAx05G95W6aaxzB7fUnuH33bCwJcFxK3dW7yGob/TTCOrtsbTvNaJzhi9bMLMuGjCjfRQAc+fDHwPYAuBxAL8G8BVm/o/EWhUDfiHWG3YeTlwgMixWnnDOlEm+uValkXJTebAoTASvWofJnL2knaB88lY926qyl1EpV6pYuXFvTS26YOVw3w2XA2h+HklZW1/EjtpMVGeYbgDLAce5NEZW6EJvGXaIbuPgy1vBSteuoOiNLon2E5vJIGFSLV4eui7h1ggRiWR7zPzPRDQn2abpiRJp0FuwtCv8UXDHTGHpsXKYYuXryip7o+VWP7Ef992wEM8NLkdxuIRVj+0LPdY7Z+ok44pIfo6cd041l3fW0VilLU+EcqXa0kJX2jB1PvwdgP8LwDUA3gdgLxH9MzN/K7GWxYBqMOHWfgX0tW6jQrBzvqPMYyYZKt/dvnEvdr9yrCWvdxeFmKaVTNpLmslytE65Mo6VG/fCylGt43M7Dp3TJAufqw2IHbUZnTNs7ZMHfFd8dANYXYWZoBUkv/O5ucHuefqHtmkXE3JEsTjsM0RomyGiqQD+GcAU2GPCx5n5LiKaC+BRADMA/AzAZ5j5DBFNgb1KeyWA3wC4mZlfds61GsAXAFQB/Akzb03mY3YP16zfESrVQkgtcfdXXyaiPwawG8CdzHw8pnbWoZoP+KW49Vg5zDx3cqzOhyjkifBnN1xee7arhDK9Cznufrdv3Btq8XnEOafJQpGfI6cyzqEWldz9/MaJWV6oMqp2wczbANwL4L8D+FsASwD8vwm2qy2Yqm6bwojmeADsCYqJwiwD2LDzcKTSLW51i3VbD+HGK/tSrYSaZbrVXjqJX7m/rETsNHrcy5Uq8ho9qqx8piQRO2o/OqfXSLniq94dpkKSiRq4yfm859FRZQ6tNJ5lItrMaQDLmfkKAIsA/AERXQXgz2GHfs8HcBy2UwHO7+PM/H4A9zv7gYh+G8CnAVwG4A8A/E8iSl/5sJRQHC5h3uotkmrRJcTcX30bwDzY9ngEwDdVOxHRbUS0m4h2Hz1qXuHPi6oygt80plIdN75nk6Tx2W6yQBVljhNUOcO7PWhOGXZRyUSPI6sLVUaRD0T0EwDTADwP4F8A/C4zv5lkw9pBY2hLVmAglLdLFS60eU9JHA4J0a320kmConXiEBXqBFVmFKy8RCEpEDtqP6YhuCqBYsBMM8FU8DjofKZCaVleHQpLFJthZgbwjvPScn4YwHIAf+Rs/y6AtbAnRR93/gbsEPO/clT9Pw7gUWY+DeAlIvolgA86bRE8rCnuNxY3F6dDNoizv2LmNzznfQjAjzT7PQjgQQBYsmRJ5NzRxijxxd94RrsYWkmRcF5jiquKHFGdBoRfH9cY8eEdi5mkq7vf4Z2b9ikrOLn7BkX+eQXUg2isCqU7V9p0IkzTLl6AHWL3OwBOABghoueZOTszdg2u0elyRtNKGG+X5JW3na61l05hOhkxqXax/eDR1Dgb+zzaD2nrHFKA2FGbCaMOriqhaXLfmqZQBZ0vTB+Y1dWhCESyGSdCYQ+A9wP4awC/AjDCzG6d79cAuP+MPgCvAgAzjxHRCQDvcrbv9JzWe4zgUBwuGTse5l8wTRwP2SG2/oqILmLmI87LTwD49/iaeRbVxHT3K8eMorCzgldYfPUT+3HjlX3YvKek7OO8osZ9DWMx03R1XbqEu2+QdoSq+pMfjVWh/M6VJp0II+cDM98OAER0DoDPw85teg/sHMGuIK56sO0iTFh2EvnyafWmpYGJYC+dwG8yEkUsLuxD3o98jrDig7Pwg52HtRV1vJoPwNnOqEuE7mJH7Ch+Gp/byxbMxI/2HakNXs7vsfCB2dOx89fHUWX2zf016YNU/URcgsdh+uyJksYU1WaYuQpgERH1AvghgN9S7eb8VuWKsc/2JojoNgC3AcDs2RNLx8BUWO/Ccyfj2TuuTrYxQmxEtT0iegTA1QDeTUSvwa6acTURLYJtPy8D+C9xt1c1MY0iyJg0BSuHckzhFuVKFdsPHvWtgOE6HrzaQkC46D6/ffuHtml1lQYW94Uqfdpj5TDa8N14F5bTvPBsmnbxZQD/N2yv3isAvgM7rKhriKsebDsIG5Ydd3WLNHvT0sBEsJduQNVBLFswsxYZ4UZQ9CkmaV6mTc7j3k/YKUxLLpmB1U+8UNdZ+lW7EHvRI3akJqrjV/XcblyBPT5awXO/OlZ7rRuGmpTQ1PUTqpWnKKlGqj7byhPAUDr5JgKt2gwzjxDRDgBXAegloklO9MN7Abzu7PYagFkAXiOiSQCmAzjm2e7iPabxOrGEi2cNXRWXRuZfME0cDxkjqu0x8wrF5ofjbV0zqolp2hwPrmBxnAvDr4+UAyPedQuzYRaKdPv66SoVh0uhFoV1Thn3HGkWajdNuygAWA9gjycMr6tQlTZR5ey4TM4TzlTbb6i9BQtEtmLruq2HjAaeyxbMbCov2sqALM3etJTQ9fbSLYTpTEzCX03K+QnGiB010IrjN8yKShAmPZ+un/CuPLXiiNOtLqm2TSC7C20zRDQTQMVxPBQA/B5sEcntAD4Ju+LFZwH8o3PIk87r5533tzEzE9GTAH5AROsBXAxgPoB/je2TZZgwGg/ieMgsmeqv2jkBDZpP6SiNlJXhVK1c07voGtfCbJgFAb+IvZUb9xp/V+f3WHirPKbct7fH8q0CFfT52hHZbpp2sS7Wq6YUVa1x3T+vUmU8cPMirH3yQCwlZ0xDi06PjYcaeBaHS9i8p1T3OQjAjVdGD/VOszctDUwUexGEJBE7aqYVx2/cz+egvsevn4gr1Uh3ngnkbKgjos1cBOC7ju5DDsAmZv4REf0cwKNEdA+AYZxdjX0YwD84gpLHYFe4ADMfIKJNAH4OYAzAl5x0jgmNOB4mBlnrr9qVal6w8rjxyj5s/NdXI0VWFBSpBabXDIqwM9Vx8MN0QcBURNLE8WDlCe+cUjse3Pd0uh1Bn69dke2mkQ8TEj/jnF6w8PUf7q8TtGsFE8dDnkg78ATUK0Aq1VUGsP1gtLI8QPxpHAJARLNg105/D4BxAA8y87eIaAaAjQDmwM79+xQzH3fUxb8F4CMARgF8jpl/1om2C4LQHlpx/MY92CxXqrhj017cvnGvcnWkt8dSDoCIgDlO+DkRwIxaatP2g0frUqB++LNSrY8lAP953gy8/JuyckXGb7VGNIr0MPMLABYrtv8adrWKxu2nANykOde9sMsNCg6mjgcCxPEgtI0oqeZ9IfuQPFGtqt6WF45EErIcrYw36WUFtdF9vi+5ZIbvcz+MjoMOkwWBKPpieSKMM9elA7ttPHl6TLnonSfCtMmTtAvijSKaUT9PHIjzwYdV116qFGDJEfDWqQranR6l84i5nqlG4RiQ/phWVsHi8BYKTYwBuJOZf0ZE5wLYQ0TPAvgcgJ8w8xARDQIYBPBVAH8IO6x1PoClsEugLe1IyxPGO3GY7qQdjYxWlGHWvT0WTlWqNWdejoBxbi6hpHtt8nAWhE7RiuN31bWXYtXj+1CJMV3Q7QNVKtvvnFJHHnv7TfYc752kqfQoGKjTo/BeE4B2tcbvPbFzISmKwyVjcUkAeGnougRbIwj1uM++MNHbzw0uD1UZcJy5dp2RFiponDN1EnomT6pzTKsiKaw81Y3fTCLsWo3CM1kQiJLyOM6sfSbotGPGmXFC878koElEU0W7ItvF+eCDyjjP77EAIHIpGj/18CB0uUCqiIggL2ErUQpxeAuFepyySkecv98mohdhlyn7OGwlZMCutb4DtvPh4wC+59Ro30lEvQ3lmbqCRo+xt5MsjZSx6vF9dQJzjXbpmkGjNehey8RESDNhHL+q1X6/VZFWaVTZbod4mTfyzy8qUDSKhHYSJtWCII4HoTO4z2qTPiFPtvpCmAi6HBHmDm7Bxb0FbSScCcdHK/BOfZZcMkMZSVGpMu5+6oA24q0xgiCOeYvJgkCUiXvByjVtcz+PrmfNEeHcqeo+PkeE4nAp8PO2K7JdnA8BqLxiporFjVg5AgiRV56qzChY+aaBZ1iPWhxRClIeMDmIaA7sMNhdAC50HQrMfISILnB2q9Vad3BrqneV8yHIYxznKq6LTEyEtGLq+NXlbSZdzak0Ukb/0La2lq32G9hFfU8QohLG8TCJgF/eJ44HoXOYPgdXLLUL2SxbMNP4/nYXS0sjZVg5gpWnyGM2d0Id1JcdH7WrRgDNEW+N0XV+2gymDgoTQf8oKY+jlfE6Z4FJ6kaVGSfPjCnTVKrMRgtr7YpsF+dDAGHqlAcRx0qQ94boLVhYe/1lSl0HHd4cLCF9ODWiNwNYycxvEWm1fo1qqme9nnqnJggyMRHSionjV5e3GVV1PAyuQnm7shKnF+xoRNVqz/SChWlTJolGkdAWlt77LN54+4zRviIuKaSBoPlMnggrls6qVfsy0YtTPf8r44xe53n8+kgZuRb6oqC+TBfxpjqPnzZDUCSsqaB/FH0N93N4FxxMjq9UWVsJw2RhrV2R7eJ88MGvTvkPdh1uu+ZDIyfP2Dm1YQx4xdJZ4nhIKURkwXY8bGDmJ5zNb7jpFER0EYA3ne1GNdWzXk+9XYrMqusKQlbROc9U0XNJwGgtxTAMev+s/Z5oFAntYMHXn8Ypw1XdC8+dLI4HIRXono+6RUq/hRlXM+t2jdbJiXIFe+/6fQDRI8hd/OY9YRaPvPve/dSBUCl6KoeAStB/9yvHcHrM+/3mMNXKB6aheNsW5jP56WuYnKcdke3NSSVCDb865edNtTrUqrNUqow7N+0Ldcz3dx7G3MEtWFPcH7yz0Dac6hUPA3iRmdd73nJrqgPNtdb/mGyuAnCi2/QeALtjLFh57ftWnux0phiRiYmQdXTOs77eAu67YSH6nPfzfjP3AKzcWQ0kFQw7Oo+c6ybFyGhFO9gaGa1gYHFf7TO7bZHoPyFO3r96i7Hj4bwpeez6+jUJt0gQzAj7fPRbmHEXaN1oNL9jdfuY0tdbQK/PdUwXkNz9isMlrTNAN2HXLYx5t7tpWN7F6nJlHL990bm+Y1tv2xr/DsLv86dlYS2xyIewpQOTakcrhL3hOkGUsCXG2fJP3lI0vT0WmG3vpIhItp1+AJ8BsJ+IXLfx1wAMAdhERF8AcBhnS5w9DbvM5i9hl9r8fHub2x4aQ8DSWO1CyvilCyL6DoCPAniTmX/H2TZhStYWh0sYPdNcacLrVBv1RM31OjYVRgysYOVw3w2XY2Bxn6/Gw4lyBYxk+8wcEc4rTFK23x1oiUaRkBSX3/VjjBkOwy48d7I4HoTUEeb5GJRCUK5UMdXKNUXYEWx9hNrrFtaMvH2ZX1RbUKqDd183VUOFbsLuVwTA5ZFdrza9D9iVmy48d7Jv+46fPF3TfVBpS6jwfqbG6lZuNZA0kGTaRdjSgakj6ZDv81tQf42DDbsOY/OeUu3m97ZFVP/bCzP/FGodBwD4sGJ/BvClRBuVEkzLJanwOgaSKKMZNkdQaAt/D+CvYDu/XQYxAUrW6kSpXH0goHlAMlKuIAcgnyNUDXMJy5Vxu5wz/Aej7Ui7qDLjnVNjTWJmEsEkJM0tDz2Pt06bpTD1z5uBDV/8UMItEoRk8S4I6eZHI6MV3HLV7LrJMgPY4Cx63jOwMFTpzcl5Qs/kSdqFUb/FH9NqF37pCMsWzET/0Lam43SLv97tfgvEQfowo5Vx3LFxL3a/cqxJWwJoXkTzjnGLw6XgMm8dJDHnQ4TSgakjqkhIEG4+1bqthzrqfGD2F2QR1X8hy7TDMaBLzRK76RzM/M9OxRgvE6JkrU6UatqUSbXqa4jXAAAgAElEQVQoBZXa+DgACiliVBlnrNt6qFY7fKUmz7cdNIqZSQSSkDTXrN+BX7x50mhfcTwI3YS7IKSLeru4t4DtB48q574bdh7GkktmhFrczedyWHv9Zcrnud/iVJiIDl17eqxc3SKtdxzZpzkmzjTDcUAb8XBxb6HW/zaiKnft9tlp6BfbovngVzoQwAWaY24jot1EtPvo0WB11SRwc6HCEnTjuflUWVDUL42UMXdwC/qHttXK1whCFvBzDMSFzoazYNsTDF2/oytZ20Qa+qRG1hT3432rt2DOoP3jl4Pq9z4QbVGkNFKuhYUmqetgwolyBc8NLsdLQ9fhucHlqRhgCd3J0nufFceDMOFRaXK5EWe6MRDDHpsF6Xl5KVeqWPvkgdrr4nAJ/UPbYp2b6D7L5EnNAs3uONLv88eJrm+OUko6LWPTxKtdhCgdWEdaVPoHFvf5hhc10ud4onQeQW8uUKeU/MPi5uxKOLnQKRp1FZYtmIkf7TtSK693fo+Fuz5W7xn302zx1k9uBZ0Np0XURwjEqGQtkJ4+ybWFtPQdq5/Yj92vHMPJ0806E+1EbE5oB9es32FcTvOBmxfJeEnoWhpTMPJEtYl5r09aeWmkXDvWNGJupFypORmSiGjVlZjUVe543fMZVJ9/9yvHsOWFZAMoGcCiu59p0kEbWNwXamzaCd2yRCMf/EoHOu97SwemllXXXmqkqF8n9KHx6lWZsfqJ/SgOl0J5/tJA3KvGgmCCmz5RGinXHGHf33m45ngAbL2SVY/vq/OA90zW25Zrg60SxfOdhNdeCETX7xiVrE0LXltIC+VKFRsa7DFJ5l8wTbndK2YmCEmwprjfOOLh1qtmi+NB6HoGFvfVxkGuvkFppIx3Tumd0QREiphbt/VQohGtA4v7mqLngqpG6D7/93ceji2tftrkvHauOFKu4PhopW6RWDe/VI1NVePruMbHfiTmfIhQOjC1DCzuwzlT/YNEGsvTuCkbqlJm3pxwb9mzsMRbYNAM72qyTKKEdqDLY2+kUuVaB7SmuB8nzwTrmbRK2DJVnXrQC91RstbUFtpN2DCQPBH6582o2Y2u5Oe0yfnae3ki3HrVbIyeGVfu21hbXRDi5Jr1O2pVwoKYmifcMxA+ZVcQsoiqX6qMMwqWeorppl4AweXUvbw+Um57OoHJJD5Kv9zXW9A60r1YecK9n1hoPFdUzS/9xqbtSE9WkWTaRdjSganGT5mVAKXox8DiPt+QHXefgcV9mDu4JXAAp1LrnzO4JbDtcZIjwtzBLZhesHDyzFhNvEzSMoSkCNOpuPvqyhup9g0Tcqbb1/SeF4HK5CGiR2CLS76biF4DcBe6pGRtWvI1W4EA/Oq+j9RtU1XpKFh53PuJ5sHSXE2f1w3fjZBObnnoeeOIh/Om5PHC3X+QcIsEIR7iCLnXPXtPVdSOYu8xqnSHkdEzysUjN9qgnamuunQMkxRfFQTgpaHrtO+r/h/u9U0jHhvnlyb7mm6PiySrXYQqHZgWdIbop8/gd9P75d2sKe7HI7te9S3F4qU0Uq7LJepEpQy3raoQW5lECUkQRhvFtUUTm7q4txCqIkYc1TPSLgLUDTDzCs1bmSxZG7afSDvTC1ZNE8mtk97XW8CNV/Zpy6B5EZ0VoZ0Uh0t47lfHjPa98NzJ2PX1axJukSDEQ1wVwYKeyUHP68ZJss4Z7U7E/d5TEXWBqbfHAjNqJT7v12i4RBmjmrTp5OkxfO2JFzDq48Txu4buc6VBG6It1S6ygl9I9KprL4WVb/alWDnyvel1ITtz3lXA93ceDj2gjDuXKG5kEiXEjWlYnpU/a4u6MG4Xt7MKE3IWR3haUP6gIHhZU9wfqZ9IM2+fHqsNdrw5spv32P1sULWKdimMC8ItDz1vLIh33pS8OB6ETBFXyL3fMznK89ovZSDJVNfGfY+PVjBSbtZTMPn8Ktz5oq5Na4r767aPlCuhHQ/ecbDJd9ApbYjEq11kCT9DdNMq7n7qQG3i31uwtLVnXXQhO3du2pfQp+gs7mqyyjvWCUVVIXuoKltMtXJ1tjltch7jzCh7HsyVKmPlxr1YuXEvrBxQ1czXvOlLQWlRQdv8tqtYde2lob32wsRlwy6zHPMsUR1XG6Zp5JxJGKwgtMrld/0Yb502y+OWiAchi8QViWnyTA77vPZLGUgq1TVIu0F3nOrzL1swsy5C3Ttf7B/apmxTHBGO0yZPCqXr4M5tg/4/cacMi/PBQ5AhhrnhvaiOM/WmZ4mClceyBTOVYVy7XzmGzXtKsZfHEboLVRigSuTr5JkqrDzByhEqismMzlnsTvTdey5MyFkc4d4ycRJMKQ6X0EUBD0aYDnqj9sWCYIKJBpfL/Aum4dk7rk6yOYKQCHGmsMXlLIibMA4Wk/5Ht4/qM+pEZ3XniCPC8YQiJT6OuW3cKcPifPDQzlxSN9e1W8gRcN8NC3H3UweMPXre8C6ZjAlAONXgii60wYdypYqVG/di3dZDtZBA00iEuKIWZOIkmDARyxrniGol2AShE1x+14+NHQ/982Zgwxc/lGh7BCEpkojETFuEcxwLTKrjbnno+TotmDDPAt114pgXej+X+7/QnbHxO/DqS+WJsGLprJoDJe75sWg+eGhnLumKpbOU2/vnzYCV60QRzdYYZ2D3K8e0WhQ6g3IjIKT0oAC0TzPEG3ljmj8YNtdQEFphIurnVJnl+S90jFseet441WL+BdPE8SBkmrjHNO0sJV4cLqF/aBvmDm5B/9A27TXCzOuCtBvc4xodDwDw3K+O4ZaHnjdqu+o6Vo4wVVOaNAzLFswEUP+/UNH4HTTqS1WZ8f2dh7GmuF/b5lbmxxL54KGdIdGuN0nlZSoOl7D2yQPKihJ9PmVoOo1fDWydRy9PpIyUuPupAzKpm4CEUQ1uFTfypvHhufuVY9pngEQtCO1iesFS9gHdjlRNEjqBakKh49arZmtDqgUhS8Q5pomqCxA2WiJMlY4w87rGfRurXbjH6dLmTZ8fjdeZXrBw8sxY07yuYOUw1cpjZLRS05FwK0LlNHOq7QeP1s6tiyLuU3wHuvL0j+x6FfcMLIx9fizOhwbaObm4Z2ChsgMLaoOuzjlge6JMw9bjOM6UFUtn1Wk+BF3z+GhFwm8nIKowwCRxOy2dxoRokwidoDhcwskzY51uRksUrDxuvLIPG//t1aYUKStHWHfTFbh9415lSOhEjPoQOkcYcckHNOX2BGGiE0UXIEq5z7BOjsaJs5vSqNu3HfbtvU7/0DblQsOMaVNqgpCN6OaB7net+84JUJ5TF53u3R7ndyNpFxlEl2OTJ8KNV/YFlhlsxK2xHvY4Uwh2VITqYeF3ybufOqANqzINuRLShe7/dstDz2PO4Bas3LgX5UoVUya159GkirxpJErpKUEwQWcP67YeiqRpkhbcPmX7waOoVBneTMLegoV1N11RqzGuQkrPCu1izuAWY8dD/7wZ4ngQBA1RnudRyn2GdXK0Mx0kCrp2l0bK2jYGfddh/xe6+V9S80KJfMggOpGYG6/sw+Y9JWPBkhwB6z+1CACw+on9yuN01QTC4He0X1OPj1ZqGhJebyiA0J5SofPoPNx/vf0X+MWbJ+v2PT02jgvPnYw33j6TWHvCRPvISqwQN34rPmm836w8oVpl+FUdL1h53HeDHc3n/WzjfPY97zNaSs8KnWSOTxRpI6LxIAj+RHmeR4mWCCt+aBIp4aZ+lEbKtTRxVXoCYD8LGsesgO2cjCK46ZdurJvbBH3XyxbMxIadh+vmXwR7nNE/tK2pXSuWzlKmzuv0CVtFIh8yiE4kZvvBo6HC1dk5ly43KE+Ec6amxz/lPiyieEqFzqP7v6ke4gASdTy4NtNnuMIqK7FC3Ojs4e6nDqTifju/x6rrY9Z98gqsv3mR7zGuc8H0Ge3ty4CzkUh3btqHORLVJiRIGMfDrVfNlnKaghBAFAHLKNESYcUPgxwcjeKM7kKsKkKiOFzCa8dPNZ1r/gXTcNOS2ZEiLPyELnVzG7/vujhcwuY9/z97bx8nV1ke/H+vnQxhFzGbYKC4JiREJBUjRFKCzdOWxBdaUUl5ESlYtD7ytNVWkKZuah4JihKbVmk/fapC9QdWhPC6RkKNKQlFI4kmbEKMJOXVwEIlmmyQZEl2N9fvj3PO5MzsOWfOzJwzM2fm+n4+s3vmPm/3zJzr3Ne57utlYMzEr/c+qF9zTppErqTYQa5DmHPSpMi+V0vzPFkaFREUe3N1SBKUMDyvgzDBPKzKYEj1ikYRZQ1txtlC4wjN8vuUxuwuuntrpIu7gM3EGokTJg97Dwzz5hOP5QVXgWkEnfkc177vtECl0ZsdKsUzIMxbtjZ0FifoM3vn8M/ilCp//u0Mo1YqMTxYjgfDiE+leQGq8ZaoNPlhOU+JqOSMpR4SYdseOHS46oSb3rqwRJZhukLYdx2nZH3Q5xot8XIfPaypJX8240OGKXXvqTQ7es6tqR6WNbUZI469m0WS9WaN+lDPShZhdHfmx95Iy1zol5091ZRPI3Gi5OHHT+1p2P03JxI5WxWmLM6fOblssthK3GI9rPqFkSSVhlrYdWcY6VFtFYVKjBzlDBzlJsb866sJE4kz8eZ5DCbxbBN3oq/Wz1ULFnaRUYISqOw/NEK+I35ykJMnd4XmemhGvJtF0vVmjfrQ6N8nnxOWvv+0orblq3eG5jSZ2JXnxkvOsJJqRipEyUMjPR7+8QOnl52lqSbsrxq32LjrDSMOlRge5s2YZKEWhlEHFs7uYX3vAp5Zdh7rexckbvArFw5S7uHevz4qTKTWBMpJPdvEPV/cz5UG5vmQUYJmioZHlYldeV4eGollUHh694HMGB6CEr8kVW/WSJ8lfdtC6wjXg4ld+UA38qhyRP2ffXcdema0Kwtn97B05faKvNXSpDPfUTY+16PSsL+g+7ffcy/M+87DvNqMWqnE8PDssvNS7IlhGPUmylOiXIn3+TMnR27rNxDUkkC5Wi+QSj9PUL/qnfzZjA8Zw5+RNYhKcjRkxfAAR+rS9vUPFCnsE7vyZnhoYvr6B/jMfdvYfyh+ItQ02HtgmKtWbOGqFVvch6y3Fkr9BcnShM4885atNeOWkSiloXKnvf7YhoZY+Jl0zPiarvHurnyhOpGfY47KjakrXlrpI2osMq82o1YqzfFgGEb74I1719y5NXAsWrdj95htowwEtRgPKs2ZEXaM0n7MnzmZdTt2h/YrKcNHXMz4kCFKFbYgonIilJIrM9tUKRNDlM8kWNK3jTknTWLRXVuL3OT3Hhhm0d1bAUtI1mzEuV4bwdDwYT7lztIGWXvzHcL+QyMFA5clvTOSIKi0ZqNzoPipNbQhbCjZf2iUvv6BMcpZWIWlUdWypc4MIy4zP/NA7G0vt/w+htGWLJzdE+q9Vzo2RhkIkjAeJEE1/ahn3834kCHKZTCNcv0pJZ8TLvmdKdyzeaDmh8N8Tlh+0eksX70zNePD7RufY92O3YHx+cOj6WVkNaqjr38g1IrcDBzGkSdvRtZv7T1waGTMdWxJ74xylKvvHScDdSOpNbRhX0T4SKnsRFVYMpd3IymsqoXR7IjIN4H3Ai+p6lvctknACmAa8CzwAVXd26g+Zo1yY3EYzeoJW/p5ynkxZAFLOJkhomam/AlUSpOrTOzK05k/8lNP7Mqz/KLTuX7hLG64oLJkescclQs81sLZPakmBRtVtTKbGcGb4W1Ww4OHd82UJjsKC12ya8wIIygBcGkd7Wa+fuKENvT1DzBv2Vqm965i3rK1Y2qXRxkvBgaHivapd3IrIxwRmSIi60TkcRHZLiKfdNsnicgaEXnC/T/RbRcR+WcReVJEHhORt/mOdYW7/RMickWjPhPA9ApzPGRNeTdahluAPyxp6wUeVNVTgAfd90YM4ozFYQQlfPQ8Yas5XhIEfZ5vb9jVsP4khXk+ZIhKShXGdZ+JKu/i4XeF3X9olJw4FTUmduVRdWrTXnPn1tTjlsNiisHJDj+tdxU5ES6dO6WiCgXVWkmNYJp9htcj6gHISrkalRCnvnelpZCTIt8hXHLWWC83wblvxgltCAoZKQ1FWnTuqVy9YkvoOODfp97JrYxIRoBrVPVRETkW2Cwia4AP4zwALRORXpwHoE8DfwSc4r7mAl8F5rqztdcCc3Aurc0isrIRM7aWXNLICqr6sIhMK2k+HzjHXb4VeAhH9owyxBmLwwjKe9BoT9g4+nQWPXPN8yFDBFnlPGqxfkUdF44kAyv9v/fAcEGZrscs9yuvjlCukOioKt/esIslfdtiHbMWK6kRTDPP8Hp0EF7q0Eq5GpVSrkb2kr5tqRseRBzPND/dnXmWX3zEy81fauwrl5zBszFLm0UpdB4LZ/dw2dlTI+/RfiUpqvSZUT9U9UVVfdRd/g3wONCD8wB0q7vZrcBCd/l84FvqsAHoFpETgXOBNaq6xzU4rGHsjG7qmOHBaAFOUNUXwZFP4PigjUTkShHZJCKbdu/eHbRJ21FuLC5Hs3nCxj1PFvRuP+b5kCH8VrmgmdlqrV+lxy1N+tUsDB/WssYHj9s3PhfL+6EWK6kR7DVSiYdOGngeOfuGhunMd3Bg+HDRen+1iyDqnfXXyD5R3jJ9/QPctmFXqufP5wSUoqoynfkcS99/pLxsLcmk4ip01y+cxZyTJkV60/nDnUymmgt3BnY2sJGSByAR8R6AegB/3eTn3baw9roR1/BwdE7Y8YX3pNwbw0gXVb0JuAlgzpw5zaOsN5CkPVcb7QkbV5/OmmeuGR8yhqewTe9dFejeWq31K0gRrCRmMi6eq2+1xN03rtGkVitpklSSeEhEBPgn4D3AAeDD3uxVvQhzxX7b1AkNMT5cfvbUisJtorAHI6MSosIIlq/emWpImuCEVpQa2ZI0olaigHmyM2/ZWgtfyhAi8hrgHuAqVX1ZJNTUH7RCI9qDznUlcCXA1KlTK+9sAJXoK2Z4MJqcX4rIia7R70TgpUZ3KCskHdIX53hphW739Q9w4NBI2e2y6JlrxoeMUg9rXNIz2DkRfmvC0TUdM643hpeXwrsplJ5z3oxJ3PaxtzfcqlnCLcC/AN/ytXmJh2LF3abRqbBMu2HeN+uf2pNGNyLp7swnZngwjEqJ8pYJK9+VFApjDA8eSRlRq1HoLK9DdhCRPI7h4TZVvddtDnsAeh6Y4tv9DcALbvs5Je0PBZ0v6RnbJX3bYhn4BHjGQi2M5mclcAWwzP3/3cZ2Jzsk7bla7nhx8iFVQ1ip+u7OPO89/cTMV7sw40NGqYdiF3SOWrh07hTmnDSJRXdtDSyZGYezT57Io7v2le3TpXOnhAovwPqn9nDZzY80lYJcYeKhQtwtsEFEuj1FMck+Bd1Yv52yC3kp3Z15RAhNNuq5lxtGIwnzlmlkGFJSRtRqFDoLX8oGrhfdN4DHVfXLvlVhD0ArgU+IyB04Bu99roFiNfBFryoG8G5gcdr9X9K3LfaYZIYHo9kQkdtxdLzXicjzOElblwF3ishHgV3AxY3rYfZI2nM16nhphW6HJZo8Zvy4lphoM+NDRqmHYlcuF4QXWz84NFxoC3pQDKpAsXTl9kICtq58B+PzudCHSz/P/nqIGy6YNaZPQeeat2xtpJFi/VN7uO1jby98xiZVkCuNu03U+NDoyhX5nBTFrYNVJzGyxbTj0jc+dHfmOThyOFUjajUKnYUvZYJ5wIeAbSLiuen8HeEPQA/ghPs9iRPy9xEAVd0jIp8Hfupu9zlVTc0N7l1ffognXtofe3tLLmk0I6p6aciqd9S1I0ZVpBW63Uwh4WlgxocMUw/FLo1zRB0zLJeFxwuDQ7H7VEl22wwqyLHia2uNrW104shr33famN8mo7+X0Yb09Q/w45TDkPyeP2aUMypFVX9E8HgCAQ9Arrfdx0OO9U3gm8n1LhgzPBiG0QykFboddlwF5i1bm/nx3YwPRhGNmlX2zlsuGKO7K8+8ZWtj9a/RVRcSotK42yJqia2NW640DXq6O1nfu6Bh5zeMJEg72WRPyT0wy8qIYcQlruHBcjwYhpEmaYVuR4W9J5VXopF0NLoDRvPgxfcPDA6hHLnA+/oH6nbeKPI54ZVXR2L3b9G5p9KZzwWuA+gQUv9sCeDF3cLYuNs/FYezceNukzzx7RufK79RClhSOqNVSMJFsiNkTjonwguDQyxfvTML9zHDqJm+/gFOXhyvqsXlZ081w4NhGKmycHYPN1wwi57uTgRnQuCGC2bVbBTwHzcIL69EVjHPB6NAWolTqjmvh5fToae7k/0HRwp5IuL0rzRnRSmHldQ/WyVUmHgoMO42SeKWK02aJG7chtEMxPW+yueE4dFieevuzBfCKYJmQDz5bIVZEMMoR1//ANfctZU4uaqTLLtsGIYRRVqhwN5xw8LRs5z/ITXjg4h8E3gv8JKqvsVtmwSsAKYBzwIfUNW9afXBqIxGJTgJO74AT91wpB53WB3vqP5lSXgrSTwUFXebZXq6O2PfxC3xpNGM+K/LCZ35QMOCn8vPnsqckyZx3fe2F5LuCk4i3+WrdzJ/5mSOzncUjA/C2OQu9TASG0Yjue572xmNYXk45fhjzPBgGEbDSFI37esfoKMksb5HUtWsGkGaYRe3AH9Y0tYLPKiqpwAPuu+NJiHsQk77Ao973lr616jPlhX6+geYt2wt03tXMW/ZWi67+ZFUz5fvEPK5Yn/ySsItGhUiZGQbEXlWRLaJyBYR2eS2TRKRNSLyhPt/YrnjhFF6XQ4ODQekgfX1BwoPSq8OHy60e7t4pW39lYDCDtdMhlTDSJo41bBOOf4Y1nzqnPQ7YxiGEUCSuql3rCDDQ9bDk1MzPqjqw0Bpmu/zgVvd5VuBhWmd36icoBwJ9bjA58+cHKs97nZBNOqzZYGgm+X6lDL0ezFxyy8+neUXnV51nFxUiJBhlGG+qp6hqnPc94kZxYOuy+GI2Vovc/V139tec0lbM6Qa7cxrx+fM8GAYRkNJUjcNC0nPiWQ+PLneOR9O8JLiudn7j6/z+Y0I/DkS6unKvm7H7ljtcbcLolGfLQsk8eATh6A43Gq//1avgWzUlfNxcq2AYxR/CPh0NQeq5vpLoiJPvkM4cGiE6b2r7N5mtASlrstd+Q4O+LyD/Jxw7FFs/My76txDwzCMYpLUTcP2Oaya+fG9aRNOisiVwJUAU6dObXBv2oe0EqdEEVdYw7YbGByKpXQ34rM1O339A7HcWWtl3oxJYwwPpbHxIjB4YDjWw1NatZWNlkeBH4iIAl93S9HGMorHGZPCrsvOfAdDIQ9O1TCxK0/XUeMKsrP/0EhBji0BpZF1lvRt47YNu4rCj/IdQocwJuGkJZc0DKMexMnlkKRu2sp6br1Lbf5SRE4EcP+/FLahqt6kqnNUdc7kyeXd6o3sUmvOB8Di/qukXmEKj+7aV/S7BMXG7z0wHPt3tDAao0rmqerbgD8CPi4ivx93xzhjUth1ecMFb+Xys6eGls2shM58jmvfdxrrexfwzLLzOGb8uDEJLS0Eycgqff0DRYYHj+HDymuPzheF6t14yRlmeDAMI3Xi5nJIUjdtZT233saHlcAV7vIVwHfrfH6jCYkrYEHblWJKd2XUK0yh9HeJKq8atH0padVWNlobVX3B/f8ScB9wFhUYxcsRdV1ev3AWJ06ofcai9Dq3ECSjlVi+emdoUtV9Q8MFo9v63gV2vzcMoy7EzeWQpG7aynpumqU2b8eJo32diDwPXAssA+4UkY8Cu4CL0zq/kR3i5mMo3c6yvtdOmFtXUDm/MHq6O4t+t6tXbClb1jTOb1RuGwujMSpBRI4BOlT1N+7yu4HPccQovowEjOJR12Wt96agUrSt7JpptB9RMmLXtGEYjaASI3+Summr6rmpGR9U9dKQVe9I65xGdokrYP7t5i1ba0p3jSw691QW37utyKLbmc9x4Zk93LN5oGwiyp7uTtb3LihqW756Z9nfJeyBKWx7w0iAE4D7RAScse87qvp9EfkpdTKKx7nuwwhztwyT4VZwzTTajyiDuF3ThmE0AjPyJ0u9wy4MIzFaOR6qXoS5dV2/cFZRe2d+7K0i6mGo3O9SLoTGfkcjaVT1aVU93X2dpqpfcNt/rarvUNVT3P/p1JklXugYOAklLz97aix3y1Z2zTTajyAZEeCys6faNW0YRkOw541kadpqF4ZRDiufmQxhXiel7XEy/Xr7QfTvUrpNpdUuDCOLBMnG/JmTWbdjd033sFZ1zTTaDxvXDcNoNuy+lCyiGjeyu3HMmTNHN23a1OhuGG2OiGxW1TmN7ke1mBwZzUDW5QhMlozmwGTJMJIh67JkcmQ0A3HlyMIuDMMwDMMwDMMwDMNIFTM+GIZhGIZhGIZhGIaRKmZ8MAzDMAzDMAzDMAwjVTKR80FEdgO/SOnwrwN+ldKxk8T6mSzV9PMkVZ2cRmfqQcpyBK3929ebLPQR2lCOwGTJJQt9hNbup8lSNK382zeCLPSz2j5mWpZsTCqQhX5moY+Q4piUCeNDmojIpiwkmbF+JktW+pklsvKdZqGfWegjZKefWSML32sW+gjWz3YmK9+p9TM5stDHLJKV7zUL/cxCHyHdflrYhWEYhmEYhmEYhmEYqWLGB8MwDMMwDMMwDMMwUsWMD3BTozsQE+tnsmSln1kiK99pFvqZhT5CdvqZNbLwvWahj2D9bGey8p1aP5MjC33MIln5XrPQzyz0EVLsZ9vnfDAMwzAMwzAMwzAMI13M88EwDMMwDMMwDMMwjFRpSeODiEwRkXUi8riIbBeRT7rtk0RkjYg84f6f6LaLiPyziDwpIo+JyNt8x7rC3f4JEbkiwT4eLSI/EZGtbh+vc9uni8hG93wrROQot328+/5Jd/0037EWu+07ReTcpPpY0t+ciPSLyP3N2k8ReVZEtonIFhHZ5LY1zW+eNbIgR+6xMyNLJuLBdX0AACAASURBVEfticmSyZLJUu2YHJl+Z7KUDCZLNiY1VI5UteVewInA29zlY4H/Bt4M/D3Q67b3Al9yl98D/AcgwNnARrd9EvC0+3+iuzwxoT4K8Bp3OQ9sdM99J/BBt/1rwF+4y38JfM1d/iCwwl1+M7AVGA9MB54Ccil8p58CvgPc775vun4CzwKvK2lrmt88a68syJF7/MzIkslR46/rRrxMlkyWfG1N9Ztn6WVyZPpdSVtT/e5Zepks2Zjka6v7b95wAajHC/gu8C5gJ3Ci23YisNNd/jpwqW/7ne76S4Gv+9qLtkuwf13Ao8Bc4FfAOLf97cBqd3k18HZ3eZy7nQCLgcW+YxW2S7B/bwAeBBYA97vnbcZ+BglVU/7mWXw1uxy5x25aWTI5MjnyfR8mS7X1zWSpCa7jRr9MjkyWmvV3z9rLZMnkqJ6/eUuGXfhx3Vlm41jLTlDVFwHc/8e7m/UAz/l2e95tC2tPqm85EdkCvASswbFyDarqSMD5Cn1x1+8Djku7jy43An8LHHbfH9ek/VTgByKyWUSudNua6jfPKs0sR27/siBLJkeGyVIymCy1OSZHiWGy1OaYLCWCyVEFjKui45lBRF4D3ANcpaovi0jopgFtGtGeCKo6CpwhIt3AfcBvR5yvIX0UkfcCL6nqZhE5p0xfotal2k+Xear6gogcD6wRkR0R2zayn5mi2eUIml+WTI4K7W2NyVLtmCwV2tsWk6NkMFkqtLctJku1Y3JUaI9Ny3o+iEgeR6BuU9V73eZfisiJ7voTcaxo4Fhtpvh2fwPwQkR7oqjqIPAQTkxNt4h4RiH/+Qp9cddPAPbUoY/zgPeLyLPAHTguRTc2YT9R1Rfc/y/h3KDOokl/86yQJTmCppYlk6M2liMwWUqwnyZLbSxLJkem32GylAgmSzYm0Sg5SjKWpFleOFaZbwE3lrQvpzipxt+7y+dRnFTjJ277JOAZnIQaE93lSQn1cTLQ7S53Aj8E3gvcRXGCkr90lz9OcYKSO93l0yhOUPI0KSQkcs91DkcSqTRVP4FjgGN9yz8G/rCZfvOsvbIgR+7xMyVLJkft9zJZMlkyWTI5arZrtKTPJktt9DJZsjGpkXLUcAFI4wX8LxwXkMeALe7rPTgxNQ8CT7j/J7nbC/D/cOKItgFzfMf6M+BJ9/WRBPv4VqDf7ePPgM+67ScDP3HPdxcw3m0/2n3/pLv+ZN+xPuP2fSfwRyl+r36haqp+uv3Z6r62A59x25vmN8/aKwty5B47U7JkctR+L5MlkyWTJZOjZrtGS/psstRGL5MlG5MaKUfiHsQwDMMwDMMwDMMwDCMVWjbng2EYhmEYhmEYhmEYzYEZHwzDMAzDMAzDMAzDSBUzPhiGYRiGYRiGYRiGkSpmfDAMwzAMwzAMwzAMI1XM+GAYhmEYhmEYhmEYRqqY8cEwjEwiIktF5G9E5HMi8s4q9j9HRO5Po29JIyILReTNje6H0bqIyDQR+Vmj+2EYRnlE5N/KjQkicouIXBTQPk1E/iS93hlGcyIiD4nInISOVaSXVauLtiNmfDAMI9Oo6mdV9T8b3Y+UWQiY8cFoSkRkXKP7EIes9NMwyqGq/1tVf17l7tMAMz4YRhlEJBexukgvaxNdNBHM+JBxXAv2DtcK/jMRuU1E3iki60XkCRE5y50h/ncRWeu2fczdt0NE/lVEtovI/SLyQJCV3DCaBRH5jIjsFJH/BE512wqzOyKyTER+LiKPicg/+NZ/TUR+KCL/LSLvDTjuWSLyYxHpd/97x86JyD+IyDb3mH/ltp8pIv8lIptFZLWInOi2PyQiXxGRh0XkcRH5HRG515W7633nu1xEfiIiW0Tk694AJyKviMgXRGSriGwQkRNE5HeB9wPL3e1npPolG+1MTkRudseEH4hIp4ic4V6Lj4nIfSIyEQrX+hdF5L+AT4rIxe4YtFVEHna3yYnIchH5qbv//3Hbz3Fl5D5XXr8mIh3uuktdefuZiHzJbfuAiHzZXf6kiDztLs8QkR+5y1EyWehnfb9Ow4hGRP5WRP7aXf6KiKx1l98hIt8WkXeLyCMi8qiI3CUir3HXF2ZwReSj7tj2kCu//+I7xe+7Y9rTPv1uGfB77nhydR0/rmHEQkT63Hv5dhG50m37Q1cOtorIg27ba0Tk//PpaBe67YFyU3KOMNl6VkQ+644tF4vIx9wxbKuI3CMiXUF6mRTrou8QR5/cJiLfFJHxvmNf555zm4jMrMsX2myoqr0y/MKxYI8As3CMSZuBbwICnA/0AUuBrUAn8DrgOeD1wEXAA+5+vwXsBS5q9Geyl72CXsCZwDagC3gt8CTwN8At7rU8CdgJiLt9t/v/FuD77nV+CvA8cDRwDnC/u81rgXHu8juBe9zlvwDu8a2bBOSBHwOT3bZLgG+6yw8BX3KXPwm8AJwIjHfPexzw28D3gLy73b8Cf+ouK/A+d/nvgSW+z2Cyaa/UXr6x5Az3/Z3A5cBjwB+4bZ8DbnSXHwL+1bf/NqDHXfZk70rfNTwe2ARMd2XvVeBkIAescWX49cAuYDIwDliLM7v0W8BP3ePcDfwU6AGuAG6IIZP/mvT3ZS97JfECzgbucpd/CPzEvZ6vBT4NPAwc467/NPBZd/khYI4rM8/6xqYfAv/ibnMLcBfO2Pdm4Em3/Rzcsc9e9mrGFzDJ/d8J/Aw4AefZZXrJ+i95Y5L7fiLOc045uYna5lngb33HPM63fD3wV+7yLfj0Mo7ooke7fX2T2/4t4Crfsb39/xL4t0Z/1414mQtia/CMqm4DEJHtwIOqqiKyDUeh3AJ8V1WHgCERWQecBfwvnEHvMPA/brthNCu/B9ynqgcARGRlyfqXcR5o/k1EVgH+fA53utf5E+6saam1eQJwq4icgmMAyLvt7wS+pqojAKq6R0TeArwFWCMi4Dw8veg7ltevbcB2VX3R7e/TwBQcuTsT+Km7fyfwkrvPIV+/NwPvivG9GEZSPKOqW9zlzcAMHEPCf7ltt+I8zHis8C2vB24RkTuBe922dwNv9c24TsAxAB4CfqKqngfD7ThyMQw8pKq73fbbgN9X1T53hutYHBn6DvD7OPeEe3G8oKJk0t9Pw2gmNgNnutf2QeBRnIej38MZS94MrHev66OAR0r2Pwv4L1XdAyAidwFv8q3vc8e+n4vICWl+EMNIkL8WkT92l6fgGLIfVtVnwNHF3HXvBD7o7aSqe8Xxbi0nN2eX2cY/ZrxFHM/VbuA1wOoyfT8VZyz9b/f9rcDHgRvd9974uBm4oMyxWhIzPrQGB33Lh33vD3PkN9aSfRTHO8IwskTpdXxkheqIiJwFvANnMPoEsCBkv9L3nwfWqeofi8g0HOs4ODJSuq3gGBXeHtIVv/yVyuY4d/9bVXVxwL7D6prEgVHsHm3UF//1OoqjbEWx31tQ1T8XkbnAecAWETkD51r/K1UtUtZE5BwqH5MeAT6C4930Q+DPgLcD1wBTiZbJ/SHthtFQVHVYRJ7FubZ/jONpNB/H8PcMsEZVL404RDk9zi/TpvMZTY87PrwTeLuqHhCRh3C8t08N2pxgHS2O3ERt4x8zbgEWqupWEfkwjudQ5Ecos96TybbV8SznQ/twvogcLSLH4QjOT4EfAReKk/vhBMoLlGE0koeBPxYnDv1Y4H3+lW683gRVfQC4CjjDt/pi9zqfgePqvbPk2BOAAXf5w772HwB/Lm6iOhHxQjsmi8jb3ba8iJxWwed4ELhIRI73jikiJ5XZ5zfAsRWcwzCSYB+wV0R+z33/IeC/gjYUkRmqulFVPwv8Cme2ajXwFyKSd7d5k4gc4+5ylohMFyfXwyU449FG4A9E5HXi5EG51He+h3HCrB4G+nEe0A6q6j5ql0nDaCT+a/uHwJ/jeKxuAOaJyBsB3FjzN5Xs+xMcmZnojlMXxjifjSdGMzMB2OsaHmbieCmMx7nOp0NBFwNHR/uEt6M4OYniyE2cbTyOBV50x7HLfO1hcrQDmOYdm4hxs10x40P78BNgFY7AfV5VX8CJZX8eJ57q6ziK376G9dAwIlDVR3Fc4bbgXLs/LNnkWOB+EXkM50bvT6S10237D+DPVfXVkn3/HrhBRNbjuGx7/BtODPpjIrIV+BNVPYQT1/clt20L8LsVfI6fA0uAH7h9XYOTFyKKO4BFbgIjSzhp1JMrcJJqPYZj0PtcyHbL3QRaP8N5iNqKIz8/Bx5127/OkZmeR3AS3/0MZ4b3PjdEaTGwzt3/UVX9rrv9D3EMGg+r6ihOTO2PAGqVScNoMD/EGQMeUdVf4oQP/tANP/owcLsrfxsoCRlU1QHgizj623/iyFs5Pe4xYMRNoGcJJ41m4/vAOPea/zzOdb8bJ/TiXvce74VFXA9MFDfZMTA/ptyU3cbH/8WRrzU4hgWPQL3M1S8/Atzlhr8fBr5WzRfRqsgRD1+jVRGRpcArqvoPAeteo6qvuB4RPwHmqer/1LuPhpEWInILTnKtuxvdF8MwCm61f6OqYyrPGIZRGT49bhxwH06y1fsa3S/DMIwg2jLWxCjifhHpxkm28nkzPBiGYRiGYWSGpSLyTpws+z/AqXJmGIbRlJjng2EYhmEYhmEYhmEYqWI5HwzDMAzDMAzDMAzDSBUzPhiGYRiGYRiGYRiGkSpmfDAMwzAMwzAMwzAMI1XM+GAYhmEYhmEYhmEYRqqY8cEwDMMwDMMwDMMwjFQx44NhGIZhGIZhGIZhGKlixgfDMAzDMAzDMAzDMFLFjA+GYRiGYRiGYRiGYaSKGR8MwzAMwzAMwzAMw0gVMz4YhmEYhmEYhmEYhpEqZnwwDMMwDMMwDMMwDCNVzPhgGIZhGIZhGIZhGEaqmPHBMAzDMAzDMAzDMIxUMeODYRiGYRiGYRiGYRipYsYHwzAMwzAMwzAMwzBSZVyjOxCH173udTpt2rRGd8NoczZv3vwrVZ3c6H5Ui8mR0QxkXY7AZMloDkyWDCMZsi5LJkdGMxBXjjJhfJg2bRqbNm1qdDeMNkdEftHoPtSCyZHRDGRdjsBkyWgOTJYMIxmyLksmR0YzEFeOLOzCMAzDMAzDMAyjTojIFBFZJyKPi8h2Efmk275URAZEZIv7ek+j+2oYSZIJzwfDMAzDMAzDMIwWYQS4RlUfFZFjgc0issZd9xVV/YcG9s0wUsOMD8YY+voHWL56Jy8MDvH67k4WnXsqC2f3NLpbRhOzpG8bt298jlFVciJcOncK1y+cVbSNXVeGMRaTC8NoXkw+jbRQ1ReBF93l34jI44BdXEZTkuS90IwPRhF9/QMsvncbQ8OjAAwMDrH43m0ANuC2MVE3nSV92/j2hl2FbUdVC+89A4RdV4YxFpMLw2heTD6NeiEi04DZwEZgHvAJEflTYBOOd8TexvXOaHeSvhdazgejiOWrdxYuLo+h4VGWr97ZoB4Zjca76QwMDqEcuen09Q8AcPvG5wL387fbdWUYYzG5MIzmxeTTqAci8hrgHuAqVX0Z+CowAzgDxzPiH0P2u1JENonIpt27d9etv0Z70dc/wDV3bk30XmjGB6OIFwaHKmo3Wp9yCtioauB+/na7rgxjLCYXhtG8mHwaaSMieRzDw22qei+Aqv5SVUdV9TBwM3BW0L6qepOqzlHVOZMnZ7ZKqNHEeJOPYXp+tfdCMz4YRby+u7OidqP1KaeA5UQC1/vb7boyjLGEXf8KTOtdxYzFD7Ckb9uY9X39A8xbtpbpvauYt2xtwQvJMIzksHHLSBMREeAbwOOq+mVf+4m+zf4Y+Fm9+2YYEDz56Kfae6EZH4wiFp17Kp35XFFbZz7HonNPbVCPjEZTTgG7dO6UwPX+druuDGMsQXLhx8uf4jdAlAuDMoxKEZFnRWSbW9Zvk9s2SUTWiMgT7v+JbruIyD+LyJMi8piIvM13nCvc7Z8QkSsa9XmSwsYtI2XmAR8CFpSU1fx7Vx4fA+YDVze0l0bbEuXZUMu90BJOGkV4iUMsu3P7Uppccv7MydyzeaDI+um/6XhJJaOqXSyc3cOmX+wp2ubCM3vsujLamtL7bbBjoyNbnjxFhUGZPBk1MF9Vf+V73ws8qKrLRKTXff9p4I+AU9zXXJz49LkiMgm4FpiD47yzWURWZjlRXpL6kFXNMEpR1R8BQa6jD9S7L4YRxOu7OxkIMEDkRLjhgllW7cJIjoWz7aGwXQnKaHvP5gEuPLOHdTt2hypO1y+cNaa0Zulx79k8UIgbG1Xlns0DzDlpkl1rRlvjv99O610VuI3lTzEawPnAOe7yrcBDOMaH84FvqaoCG0Sk23UTPwdYo6p7AERkDfCHwO317XayJKEPWdUMwzCyyKJzTy26d4Ez+ViL4QHM+NAUmEXcaBbCZlXX7djN+t4FiR/XZmuNdqLcvT4nEpjYqTR/StBMhMWhGzWgwA9ERIGvq+pNwAmq+iKAqr4oIse72/YA/hJHz7ttYe1NS5A8lnrolXrxVYONf4ZhZJG0vOHN+NBgzCIejBlkGkNas6o2W2u0O3Hu9ZfOncK3N+was29p/pSgmQiLQzdqYJ6qvuAaGNaIyI6IbYPcxDWifewBRK4ErgSYOnVqpX1NhCB5vOaurYwePtJlL+cKUJMBwsY/wzCyShre8JZwssFYHemx1DOhmmWNL6ba7N7lvsew/bu78vb9G21BnHv99QtncfnZUwueDjkRLj976pj8KTdcMIue7k4E6OnurNkF0mhvVPUF9/9LwH04pf1+6WXdd/+/5G7+PODPMvwG4IWI9qDzNbxEYJA8+g0Pfm7f+FzR+0r1BquaYRhGs9KI5yDzfGgwZhEfS71cFM3rZCzVzKrG+R7nz5wcOKO7b2iYvQeGQ/czjFYh7r2+XP4UsLw8RnKIyDFAh6r+xl1+N/A5YCVwBbDM/f9dd5eVwCdE5A6chJP73LCM1cAXvaoY7nEW1/GjVEQlOpY/FKoavcG8lQzDaDb6+gdYunI7g0PDhbZ66eFmfGgwFr87liQNMlHhGxaHOZZq4rvifI/rduwO3Ld0oqndv3+jtfDffzpC8jlUc6+vV1iahb+1BScA94njbTMO+I6qfl9EfgrcKSIfBXYBF7vbPwC8B3gSOAB8BEBV94jI54Gfutt9zks+2YyE6V5B+HOuVKM3WBUxwzCaiVIjqp966OFmfGgwZhEfS1IGmXIzFOZ1Ekyls6pxvsdKvtN2//6N1qD0/hNkeKjmXl8vjy3zDGsPVPVp4PSA9l8D7whoV+DjIcf6JvDNpPuYBkG6V65DAkMv/DlXqtUbzFvJMIxmIciI6idtPdxyPjQYi98tpq9/gP0HR8a0V6Okl4uxtjjMZIjzPVbyndr3b7QCYYN7TqSme3298gRZPiKjlQnSvf7x4tPL5lwxvcEwjKxTzriQ9v3MPB+aALOIO4S5AU3synPt+06r+DsqN0NhXifJEOd7DNom3yEgMDyqofsZRlYJu/8cVuWZZeclftykZyrMM8xodYJ0r4WzeyJzrpjeYBhG1okKO6vH/cw8H4ymIWymsOuocVUZZ8rNUJjXSTLE+R6Dtll+8eksv+h0+/6NliStGdI0Z179Wa87JKhyos3wGu1FaSZ4wPQGwzAyzaJzT6UznxvTPrErX5f7mXk+GE1D0jNtcWYozOskGeJ8j2Hb2PdvtCJpzZAuOvdUFt29tchjKJ+Tmo+bVo4Kw2hWyiVUDct7csMFs1jfu6BR3U4cSyxrGO1Fo5PgmvHBaBqSrvzRaOEyDKN9SfX+U2oXGGsnqJioHBWHVe3+abQUcRKqplkRq1ke+C2xrGG0J42cfDXjg9E0pDFTaJ4NhmE0ijTuP8tX72S4JCP/8GGt+YEorRwVhtGMhBkWlq7cXjAKhNn0as170kwP/FZy3DCMemPGhwzQLBbytDFPBRCRHLAJGFDV94rIdOAOYBLwKPAhVT0kIuOBbwFnAr8GLlHVZxvUbcMw6kRaiSCT9jwzjGYmTF4Gh4YZHBqO3LdUJkp1tPkzJ7Nux+5QPaaZHvgtsaxhGPXGjA9NTjNZyOuBeSrwSeBx4LXu+y8BX1HVO0Tka8BHga+6//eq6htF5IPudpfUq5NL+rZx+8bnGFUlJ8Klc6dEZgj3KFXSph3XyYan9xaOc8xRHbx8MLj2cNzztIuxzmhP0jISWBZ/o52IyvYeRalMBOlo396wq7A+SGer9oE/jbHNjI6GYdQbq3bR5KRda700k3Nf/0Bd9zeOICJvAM4D/s19L8AC4G53k1uBhe7y+e573PXvcLdPnSV92/j2hl2FhHSjqnx7wy6W9G2L3M9T0gZcd9aBwSHWP7Wn6Dhhhoe45wk6x+J7t9l1abQMQVmqkzASWPUfo52YP3NyRduHyURYrhQ/Q8OjXPe97TVVkklrbEvrfmIYRv1Z0reNGYsfYFrvKmYsfqCsXt4ozPOhyUnTJa5Wr4p288qoAzcCfwsc674/DhhU1RH3/fOA98X2AM8BqOqIiOxzt/9V2p28feNzoe1RXglxlLS45w87TzO5sxqNQUSm4IQk/RZwGLhJVf9JRCYBK4BpwLPAB1R1r2u0+yfgPcAB4MOq+mgj+h6HNMPTzPPMaBfW7dgde9ue7s7Q6hZxdbG9B4bZe8AJ56imkkxaY5uFuxpGa3DZzY+w/qk9hffehB0QyzO5npjxoclJ0yWu1sHMHvSSQ0TeC7ykqptF5ByvOWBTjbHOf9wrgSsBpk6dGqsv5Vw7gxSnqHaPpGJIo85j8asGMAJco6qPisixwGYRWQN8GHhQVZeJSC/QC3wa+CPgFPc1FyesaW5Deh6TZjISWJiTkUXijgnljALVhm9AZZVk0hzbmul+YhhG5fT1DxQZHvyUmxhsBKmHXYhITkT6ReR+9/10EdkoIk+IyAoROSrtPmSZNF3iah3M7EEvUeYB7xeRZ3ESTC7A8YToFhHPSPgG4AV3+XlgCoC7fgIw5s6jqjep6hxVnTN5cnk30ziunbkQl9Gwdo+kYkijzhN2DotfbR9U9UXPc0FVf4OTQ6WH4lCl0hCmb6nDBhyZO7HO3S5QTShbo8LfLMzJyCphY0J3Z76i0KMgHS0uXiWZ9b0Lyj7829hmGEYQff0DXHPn1tD15SYGG0E9cj54CfQ8vAR6pwB7cRLnGSGkGYdb62Bmg2FyqOpiVX2Dqk4DPgisVdXLgHXARe5mVwDfdZdXuu9x169Vrf0OEyfHyKVzpwTuG9buUYuSFvc8Fr9q+BGRacBsYCNwgqq+CI6BAjje3awQwuTiD2+qK9U8zDfSAJB2TiLDSIuwsWLp+09jfe+CSKOA39i3fPVOLjyzp0hHmzdjUsFInhOhMx+saneIxDYY2thmGEYpS/q2cfWKLZEGhnITg40gVeNDhQn0jBAWzu4pOxhWQ62DmQ2GdeHTwKdE5EmcnA7fcNu/ARzntn8Kx4W8ZuJ4s1y/cBaXnz21SLmaN2MS63bsjlSkggxppxx/TNE2R+fCb5I5ES4/e2qk+5glzTM8ROQ1wD3AVar6ctSmAW2BIUwisklENu3eHT9evBKqeZhvpAHAvN+MrFLtWBFk7Ltn8wCLzj2VZ5adx6JzT+XRXfuKEimPHFbyHWNvM6OqsQ2GNrYZhuGnr3+Ab2/YNVZZKaHcxGAjSDvnQyUJ9IqoJlbdqIxKEw0FxfbecMEsi/dNGFV9CHjIXX4aOCtgm1eBi5M+d9wcI9cvnFUwAlSSeNQfW+rt50c6OrjxotoUKotfNUQkj2N4uE1V73WbfykiJ6rqi25YxUtueyGEycUf3lRAVW8CbgKYM2dOKn6M1TzMN9IAYGX6jCwTNFaU6jnzZ05m3Y7dhfcHDo1E5roKMgYOjyoTu/J0HTWOFwaH6BAZM1MZJ1+WjW2GYYBzn7r6zi1lt5s3Y1LT5XuAFI0PVSTQK26sg6LXDpQbSBede2poFufS4wQ9YN5wwaxY+xvZYNG5pxb9zpBeFm5LWGqkgeth9w3gcVX9sm+VF6q0jLEhTJ8QkTtwEk3u88Iz6k01D/ONNABUc79ICkt0aZSj0mskSM/xssV778PwjH1h2+w9MEzXUY7KHeYibR5DhmGUw7tPRQVa50T4xw+c3rRjYpphF5Um0DMSJsg98NsbdlUVG2yxve1BNa6d1c68msu2kRLzgA8BC0Rki/t6D47R4V0i8gTwLvc9wAPA08CTwM3AXzagz0B1oWyNDH9rlCu4Jbo0ylHNNVJLOejurnzZbby+hGEeQ4ZhlCPOfaqZDQ+QoueDqi4GFgO4ng9/o6qXichdOAny7qB49slImDgXaNyZZntQbB8qde2sdubVXLaNNFDVHxHsZQfwjoDtFfh4Gn2pdOa10lC4cvv4z9/dlUcV9g0NJ+op0AhXcPOaMspRzTVSiz5Ta7rnfE7Yf3CE6b2rzJPHMIxQyt2nuvIdTX/vSDvnQxCfBu4QkeuBfo4k0DMSptaSmX7sQdEIo1rX60a6bBtG2lSSC8VPNQ/zYbHr/vPvPTBcWBe3L82KGcONcoa9aq6RMD0nDoNDw0zvXVXxfoLjNbHvwDCDQ46MDgwOsegup3ReFuXTMIz0iLpP5TuEL17w1jr3qHLqYnyIk0DPCMc/yE7ozCMCgweiZ6/6+gcCkxoFMaGzvLtg0IMiwIFDI/T1D9gA2cZUM1tby36GkQUaPTtfzvMty54CZgxvb+IY9qq5RsL0nLhU6vyQE+GwKoMHhsfsO3xYWbpyeybl0zCM5Jj7hTX88jeHCu9fOz5HZz435j41sSvPte87LRP3jEZ4PhgVUDrIepZxCJ+98vaJY3jwjjmtdxU9EQ9/XtvSlduL+rD3wHCmZ9CMZKjW9dqydxutSqNn5+OcJ6ueAuY11X74J2HiVIuYP3NyUbJIj/kzJ4eeo9Qgnnam83I6ml/XMgyj/Sg1PAC8fHCU147PMam7M7MTd2Z8aHKqmb0K2ycnwtH5DvYfCj5eOVdcVrQR3AAAIABJREFUr4xU6YCY5Rk0o34klZ1+Sd82bt/4HKOq5ES4dO6UolJClgXfaAYaPTsfx4U8q54C5jXVXpROwoQ9tA8MDhVyJuw/OBK4zboduyPP5TeIz1u2tuowjFK6O/McMz681GYcbGwzjPahr39gjOHB4+WDozx2XXYrDZrxocmpZvYqbJ9R1VDDg0e1CZmyOoNm1Idq499LWdK3rWg2a1S18P76hbMSO49h1EqjZ+fLuZBn3VPAvKbah0qqUHiVLcKoRFcJ857wEOIZ+TrzOZa+/4g7dNzcEOPHdTBv2dpCwthXXh1h+LBjtLCxzTBaF0+XbVXSLLVpJECc8k2ls1dRs1lhKeD9+Afnvv4B5i1by/TeVcxbtjY0P8SEznzRdlbyzPCTVKnW2zc+F9luJWGNZqFRZSjDzj+xK093Z74hfTGMWkhycqMSb59yXhKe90Fpqdt8TiJlLW4fDo4cLpTn3HtguGB48LCxzTBajyV927hqxZaqc89kAfN8aHLieOaVxjBGzXgpjgEiTq3poFnkfE7Id0jRIJjvEPYfGinK1GwWecNPUh4zYa6qXrt55hjNRKNn5xt9fsNIgjDvAi9hY9wAhiBvn6hQhqhxozOfY/7MyWMM3jkRLvmd4lDAUsp5VFSCjW2G0TpcdvMjrH9qT9ntTjj2qDr0Jj3M+NDk7IuRcKjUOu8NnFet2BK4veJY4wcGh8YYIvyDc9As8vCoMrErT9dR4wqD9YFDI0Vl3MCxyF9z51auXrHFYhONUOVRBKa5LqjdnXkmH3sUT7y0v7A+J3Ds0Xn2DQ2XrcoyLcKVVX3rBeg6KseBQ6OJXpvVxuNaHK9RKX39A0XJf485Kkc+18G+oSNVkKA4J8L8mZNZt2O3XWdG5ggLYfI8CsJyM5TqKqXXfLkwve6u/BjdBqBD4MIze7hn88AYHWlUlRU/eY45J00Kla9yHhWVkNW8LYZhFNPXPxDb8LDxM++qQ4/Sw4wPTYr3QBLHoh9k+faSQwYNyD3dnazvXVB0nkqs/oMHhun/7LsL78PiF73ZaPOEMMJmevxepINDw2OSmY7qkYzfSWX+VijkPknq2qw214TlqDAqpa9/gEV3bS3yPnOu5yPX0KK7toI4xmKvzS9/dp0ZWaJcgtEw40S5snNhYXpXrdjC8tU7eTXE7fm1R+dZt2N3qFv08GHl6hVbQidf4ngrlPNQheznbTEMw6E0n1kQfoNr1rGcD3WiNHdCVE4E74EkbpblDpHA44WVlIoqNeUnzKKuUPQZ4ljeLTaxvUlypidpkrg2q801YTkqjEpZvnrnmNjvUoYPa8HwEIZdZ0aWWDi7h/W9C3hm2Xms711QpIBXm18lyggwMDjE0PDhwHX7hobLGhCUI8kvr1qxhdM++33OuO4HTO9dRYcEZ9/KiRT6f9nZUyvOJWFkCxGZIiLrRORxEdkuIp902yeJyBoRecL9P7HRfTXSI47hAWgpeTfPhzpQ6exmJZmdwfEwCDpe2AOf116uX1G5I/zblsuq7mGxie1Ls//2tfav2lwTlqPCqJQkrw27zoxWoZr8JnEqVYTtB9FVNUrxeycF5S4KmtWcc9IkC8lrbUaAa1T1URE5FtgsImuADwMPquoyEekFeoFPN7CfRkr09Q/EMjxcfvbUlpJ983yoA5XObkYNaB3iWMdLCTpeuQebcv3yzyYE4S/L6Z91COofWGxis1KJV061NPtvX2v/wvYvd9xq9zPalySvjQ4Rq1BktC1BlSrK4YU6VLNvKX5Ph6BZzShvDyP7qOqLqvqou/wb4HGgBzgfuNXd7FZgYWN6aKRJ3HKa82ZMikxgm0XM86EOVDq7mRMJzerveNsGr/OOVy5fhKe8RvWrNBdEGN4x/LMOpR4VYLGJzUq9cg7E9Y5pBElcm2Exx+WOW+1+RvuSZKZ8y8tjtDP+XBJhkz7HHJXj1eHDjKqSE+HCM4s9LMISe8dhVJUbLzmj6WTOkiDXHxGZBswGNgInqOqL4BgoROT4kH2uBK4EmDp1an06aiRGHC/3Zrw/JIF5PtSBSmc3wwwPcc5TLl+E/8Em7PzdXfnCMbyYxWBfhuBjNLq+vRGfeuUcCLomLj97KhO7jlSw6O7Mc8rxxxTtlxMKMa7dnfmi7cM44dijCucJ2kdwFMokr81qr3mTFaNSas2fEuadZjkgjHbE8y648ZIzAnMsHBo5XNDJRlW5Z/NAwUsoifv0VSu2cMZ1P2gazyO/Dunpf4vv3dY0/WtFROQ1wD3AVar6ctz9VPUmVZ2jqnMmT46Xy81oLG+99vtM613FtN5VZcO2Wi3Uwo95PtSBSmc3e6qIQ/RqTl9z59ZQ40VPzAzRqox5IFXGZl+O+gxWXz4b1DPnQNA10UquZNVe8yYrRiXUKpvPLDsvtEKR5YBoX0QkB2wCBlT1vSIyHbgDmAQ8CnxIVQ+JyHjgW8CZwK+BS1T1WfcYi4GP4iQ3+GtVXV3/T1IdQRU19h8cGVNlyR9umhSDQ8NN43kUNSHR6L61IiKSxzE83Kaq97rNvxSRE12vhxOBlxrXQyMppveuilXBEBzDQyvpx6XEMj6IyJuARcBJ/n1UdUFK/WopSl37ciJjciv4qcZF/cIze1jx0+civSa88ppB/fK7110d4kaoOAYMc8WLJkvyEpZwy3IOGM1AlmQpKcq5PFebJA+OeDyY3LcmNcrLJ3Fizl/rvv8S8BVVvUNEvoZjVPiq+3+vqr5RRD7obneJiLwZ+CBwGvB64D9F5E2q2nyxdiGUGoLjGOlEoEpn1SKa5QHfkiBXRzWyJyICfAN4XFW/7Fu1ErgCWOb+/24afTbqx2U3PxLL8NBK5TSjiOv5cBfwNeBmvHS9RkV4F1Kc+Pogo8CL+4YIq642sSvPqsdejCytJlBwmytVbEuNEmHxjz3dnWO2NQLJjLxYzgGjycmMLCVBnBwsteRPOftkp2JbWN6IuGWYjaalKnkRkTcA5wFfAD7lPhQtAP7E3eRWYCmO8eF8dxngbuBf3O3PB+5Q1YPAMyLyJHAW8EhtH6lxxDHS/e7Jk1j/1J4x24zrcJJJliuL66cZHvDNMFk11cjePOBDwDYR8Wb9/g7H6HCniHwU2AVcnHBfjToTdI8opdQ7vZWJa3wYUdWvptqTNqAWd7ao8euVV0fKDnAKLF25nYMjh8saP0wxrZnMyEuY90s73PyMTJAZWUqCOGNEnCR5YWx4ei/Te1fREVKRqNZ8EkbDqVZebgT+FjjWfX8cMKiqI+7753Gy8OP+fw5AVUdEZJ+7fQ+wwXdM/z6ZJI5x/tlfB8vgyGEl1yF05Ts4MHw41vma4QHfJiSqpmLZU9UfQWhKtXfU3iWjGbjs5vL215xIW03uxjU+fE9E/hK4DzjoNapqeVOOUSCuO1vQ7FcUcS3rpbGLEGz8WPXYi4H7r3rsxZaOQUqQTMmL5RwwmphMyVKtxB0jPJmtJIYUKEqcV8n5jcxQsbyIyHuBl1R1s4ic4zUHbKpl1kXtU3rOTGTpj2Ocj9LPRg8rQzFjMprlAT/JCYk2q5rRVmOVEY9pIaFbpVw6d0rKPWku4hofrnD/L/K1KXByst1pbSZ05gMNABM6i7Pxxym/kiSlCufeA2P7GNVujMHkJYAlfdu4feNzhZJll86dUtaYFaS8bPrFntilBr3zAIHnbjPlKIu0lSxV6vJcS/6HIDpEmN67ymQhu1QjL/OA94vIe4CjcXI+3Ah0i8g41/vhDcAL7vbPA1OA50VkHDAB2ONr9/DvU4Sq3gTcBDBnzpwEMiakR5Bx3j+WlSNqk7RzaMUd34K2q3UWtl5lvJuIthqrjGj6+gdil+Ft9eSSQcQyPqjq9LQ70g6EeLqOaa9GmSytRFHJ+q6jcsxY/EDhwcyoDZOXsSzp21ZkMBhVLbwPu+kGKS+funNLZAhSKf7zlLY9s/sVHt21r52Uo8zRbrJUqcvzonNP5Zq7tjJaiVBE4D1MmSxkk2rkRVUXA4sBXM+Hv1HVy0TkLuAinIoX/qR3XjK8R9z1a1VVRWQl8B0R+TJOwslTgJ/U9omaj9KxrFpKc2j19Q8wb9naxIwRcR/+0zIStFvVjHYbq4xwLrv5kVg5HgCeXXZeyr1pTuJWu8gDfwH8vtv0EPB1VW27qfBaZkoHQzwH/O19/QNlDQmldOZzkZ4SE7vykV4L+w8d2TfKkt9d4qHhx2aQj2DyMpbbNz4X2h5mfAhSXhJ6xgKCEwC1snKURdpNlip1eV44u4elK7cHetTFISfCYVU6RMbc+00WskfC8vJp4A4RuR7ox8nKj/v/392EkntwKlygqttF5E7g58AI8PEkK100i44RNpaF0ZXvQJFIg2KQAeCqFVsKxvZqEtHFffhPy0jQblUz2m2sMoJ567Xf5+WD8W5782ZMSrk3zUvcsIuvAnngX933H3Lb/ncanWpWarUQx3GpXb56Z0WGB29QCks+1t2Zp/+z72besrU1uefmO4Sl7z8tcF0buteVw+SlhDCjVpSxq1FKSqsqRxml7WSp0hws+6o0PPhLesUpKWhkgprkRVUfwnloQlWfxqlWUbrNq4Rk31fVL+BUzEiUtHSMagwacUItPPIdwhcveCsQbVAMC7X1jO3lPm/Q54j78J+WkaANq2a03VhlFPOuLz9UkeHhto+9PeUeNS9xjQ+/o6qn+96vFZGtaXSomanVQhzHpbbSG/6BQyOFma9Sj4nOfK5gMAirYBFFzp0NK2d1bzf3uhiYvJSQC5hZ9dr9+JWooNnYetDCylEWyZQsNWJ2ttK8D+Lu4+9b2DG6u8K93YymJFPyEpc0dIxqDRphY1np+lK9KeqYcfS+sM8b9DmuXrEldBKrdHwLk/1a87+0YdWMlpQ9Iz5PvLQ/9rbtbHiA+MaHURGZoapPAYjIybRBzfVSwgaIgcEh+voHyt6co1xq+/oHuO572yvyeoDiJJD+fbs78yx9/2mFc1ZTQm1UtTBYRFnbwxTfOANqs7hSJozJSwmXzp0SaPw6eXJXId9IhxSHVTTC8ACOPJ9x3Q+K5CdJWvSaT4vMyFKjPMCClPwOIKi4nz+xlT/GfEJnnlyHjMkd8cqrI7HGNqNpyIy8VEKc2flK76vVGjTCxrJySeOi+hfXgBj0PQR9jrCRM+jhP+j+AbXnf2nDMt4tKXtGPPr6B2Jv2655HvzENT4sAtaJyNM4EycnAR9JrVdNStQAEffmHORS29c/wKK7tzI8Gjxk5DsEhND1QRwcKVY9q3WhGxoe5Zo7t3L1ii1jjCVBA5afcjPILRyuUbG8iMjRwMPAeBy5vFtVrxWR6TgJvyYBjwIfUtVDIjIe+BZwJvBr4BJVfTalz1MVpcrWvBmT2PD03iKjgt9SnGQ+h1LCHsbCGBwa5uoVWwozSHGrc5Sjha/5tMjM2NMoD7AwJX/TL/aEVpcpvQ7DckYMH9Z29mDLIpmRl0oo58JfzX212nCDOSdN4jsbdxWNVx3itIcZGMr1L8wAEPZ5K+mvR5gHa+n9I8n8L21WxrslZc+IJm5Vi3YPsyglbrWLB0XkFOBUHKHaoaoHy+zWckQNELUomctX7ww1LOREWH6x48l13fe2xy53WdqfWkqy+S3gV63YwtKV2wvnCCOOe12rhmtUKS8HgQWq+oqbuOhHIvIfwKeAr6jqHSLyNeCjOHGEHwX2quobReSDwJeAS9L6TJUSpGzt2X+IS+dO4Z7NA3UtJQuVGR48/BIZpzpHHFr1mk+LLI09jUywFqTkL5zdU1Ey1zAs70N2yJK8VEI5F/5q7qvV5iRYvnrnGEP5YYWlK7dzcOTwmPCHTb/Yw7oduyP75/UxKnlsmE4VR7cTiCyd6e+D5X+pjlaVPSOc6b2rYnurm+GhmI6olSKywP1/AXAe8EZgBnCe29ZWLJzdww0XhD94VHtzjtrvsGphUHh1uLJHKP9xF517Kp35XFX9K2VwaDgyu3pOpJDILG7/4rQ3O7XIizq84r7Nuy8FFgB3u+23Agvd5fPd97jr3yHSPHVSw5TB2zc+V3fDQ5JUmum8lFa75tMii2NP2ENLM+YQqeR6i+q/F7oxvXcV85atrcj11EiOLMpLJXi6V093J4Izi+/XMaq5rwbpRJ35HPNnTo68psOOOTg0HBj+cNuGXbFCUxfO7mHLte/mxkvOoMeVOS8nUunnLfc5SqnkHtSZD34sCGtvd1pd9oxgKjE8nHDsUan2JYuU83z4A2At8L6AdQrcm3iPmpyFs3tC8xxUq2RGWa69pD/VJN9TYFrvKiZ25VGN9lRIkrj9bMFsyDXJi4jkgM04g9f/A54CBlV1xN3kecDTPnqA5wBUdURE9gHHAb+q8TMkQpiC1qg8DklRa/9b8JpPi8yNPVlKsFaJJ9z8mZMD2y2EqKnInLxUSpQLfzX31YWze8aEJr1t6gS+s2FXwVNuYHCIT7ku1dV6kXphe0FjR1D/Kg1V8IdNDAwOBSYer+QeNDQSPMkV1m60vuwZxVx28yMVGR42fuZdqfYni0QaH1T1Wnfxc6r6jH+dG4veliStZC4699TQnA/egBX10NOZ72AowisibqhGKaWDWCV44RlRSfuypKzHoVZ5cWuinyEi3cB9wG8HbeYdMmKd/7xXAlcCTJ06tVwXEiNMQSuXKbzZKa3OUSmtds2nRRbHniwlWJt2XPwHqFWPvRgYvmEhRM1DFuUlSaq5r/b1D3DP5oEiHWv9U3vGbHcYWHzvY4VrOuxcR+c7QnUtL3l3Uvf9oNwSXlhFVN4Jr73bnZDaNzQ85j4VNjxneNhOlXaXvXZjSd+2wPtEEDdecoaNhSHETTh5D/C2kra7cZLdtR1JK5nefpXkdPDo6e5kfe8C+voHuObOrYk+2HV35Xl1+HDVHhODQ8ORM2FZUtYrpCZ5UdVBEXkIOBvoFpFxrvfDG4AX3M2eB6YAz4vIOGACMOaOqKo3ATcBzJkzp27qQ5iCduGZPaE5HwSQkooX4v6Je1nnc8LoqBbleOgQx2gwHJHRsgPoPCrH/kNOv47KCYcCjIGXzp0SryMhtPA1nxYVy5KIfBN4L/CSqr7FbVsKfAzwyv78nao+4K5bjJNDZRT4a1VdXW1ns5Bgra9/gB/HVJ4g3HhtIURNSUvoapVWrqjmvlpJ3hP/5E7YuYDQEpdessck7vtBHkelkz2BSc3v2loYA/0y7fdYiqJWw3sb0BKyZ0QTVOkmiNeOzzW9LtBIIo0PIjITOA2YUBK79Frg6DL7VpS9v/qP0BiSVjK9Y8XJeOzht5wvnN3D1TEyrlbC4IFhvnLJGVUZRTzKzYRlQVmPS43yMhkYdg0PncA7cZJIrgMuwpGZK4DvurusdN8/4q5fq9o8cxNRyuCckyaFKmFRSmfQuqBzlGub0JlnePRwwdBQWpbWY0nfttBqAbV+N61yzadFLbIE3AL8C041GD9fUdV/KDnPm4EPuud6PfCfIvIm1wupLlRTerX02jx5chdP7z5QdK0CodtUyjQ3Cd3ROeHVMlWXurvyhRKeZlyrDzXKS1NRbThPpffVWoxkYefa9Is93LZhV2DYQ7n+xb0PhBlNoiZ7lq7cHml8HxoeLSTMDKNWw3ur0kqyZ4SzpG9bbMODhVqUp5znw6k4M0jdFMcz/QZnFimKSrP3tyy1DipBdOU7GJ/v4KoVWwoeD0m7tL++u7MwYJZ+hhcGh2KHZJQO8nG/j2qU8gZTi7ycCNzq5n3oAO5U1ftF5OfAHSJyPdAPfMPd/hvAv4vIkzgeDx9M7mMkQ5iyFaWEVbOulrYorl84KxFjg1EVVcuSqj4sItNinud84A43K/kzrjydhWPUS51qHrRKlaBR1aKStf7KLGHbVEs5w0M+J7zy6kjBWG15IOpGLWNPU5FkOE+UDlFJ7oaOkEn/oONHGdej+hn3PhBlNAn7nqIShMfZ5vKzp1Y1FmZQh6uGlpE9I5iZn3mg7NgHjqfuM8vOS79DLUC5nA/fBb4rIm9X1YqUMXcWNix7/5+47bcCS2kR40PYzGwSg0opB4YPc8B1BYyTF6JSSuMRSx/8KrEC+pMqxR1ks5jMrEZ5eQyYHdD+NM7DUGn7q8DF1fbVMJqZWmQpgk+IyJ8Cm4BrVHUvTuLWDb5t/EldU6eaB61aK66kgeDc5/cfHBnzEGN5INInJXlpCEmF85TTIYJCA3MdwmiAh8CfzB2bLyns+DdcMCuyrGUQldwHyhlN0gh7um3DLtbt2F2R8SCLOlw1tJLsGWOJa3gAMzxUQtycD/0i8nEc16KCG5Gq/lnUThVm7880YTfao/MdiQ0qcanGA6K7M88x48fFtlB7VnDPrTcMgSIjRtxBNuPJzKqSF8MwxpCULH0V+DyOAfzzwD8Cf0bMxK2QTvLWah60mjFhq6d0TXfDM0qxPBB1I/NjT1IVgcrpEGGhgaUVMMLC7ZLUUSq5DwQZTfwEfU8Tu/KRobPlEmYqwcaDKM+GjOtw1ZB52TOKuezmR2IbHubNmJRyb1qLuMaHfwd2AOcCnwMuAx4vt1OF2fuLaFSW/moJu9GGDRBBg8r8mZPHxAtWQ6XKaWc+F1mVIgy/W3pYzVul2Modd5AN225gcIjpvaua3YWvKnkxDGMMiciSqv7SWxaRm4H73bde4lYPf1LX0mMknry1mgetZq4YY6VkG07mx56kKgLF0TWCQvkWzu4pMjb09Q8E5jBJMuFqJXLj9ffv7n2s4P3qJ6g07rXvOy20olpPiJduEH7jQTnPhjZMSJt52TOOMC3EkB7E0Tnhto+9PcXetB4dMbd7o6r+X2C/qt4KnAfEDgBT1UHgIXzZ+91VkYqeqs5R1TmTJwfXGa833iA0vXcV85atpa9/oLCu0htq6aDilX2qt0rZ093JDRfMqvkhfkJnPrC9u6Q9TAktbY9SVv1WeP9v0ETUJC+GYRRIRJZE5ETf2z8GfuYurwQ+KCLj3WTIpwA/qbHPsVl07ql05nNFbeUetJot8dspxx9TWK7m8xiJkvmxZ+HsHm64YBY93Z0I1esocXWNKLwH7AE3x5Vf70ji+B6Vys3C2T1MPGZ84Lr7t74YuP3yi04v+k5vvOQMnl12Hut7FxSMMDdcMKtsVQtP143ybIBkvv+MkXnZMxwqMTyME9jxhfek2JvWJK7ng+eLNSgibwH+B5gWtUMV2fubmnJW3jDLdXdnnoMjh8ta8StJNpkUXpnOJAgbr0rb485qlHMthKZ24atYXgzDCKSased24BzgdSLyPHAtcI6InIFju3wW+D8AqrpdRO4Efg6MAB+vZ6WLakoEloa8BVW7qJdnxCnHH8OaT51TeG+lZBtOS4w9SVQECtIh8jlh/8GRgvfk/JmTWbdjd+i1GvWAHabLzJ85ueJqL1HlO/3H8vc3TMIHh4bp6x8I9OiI049yVdM840E5z4akPFgyREvIXrsz9wtrYm9bOv4Z8YlrfLhJRCYCS3Bmil4D/N8y+1Savb+pKRe/FnajXfr+0wr7Rw1GlXhO9PgGoYHBoaqVzSQHgcGQWMHS9rjKael2YZ+uSV34qpEXo460SRbuVqBiWVLVSwOaQ8cZVf0C8IVaOlkL1ZTgK1eJZd6ytYnkD4qiM5/j4/NPGdMe9HnSKltrjMHGHpdSHaK7K88rrx5JiDowOFSUNDsop0HUA3aQLjPtuM6i0NlKkiyWyk3QhFfcJN9XrdjC0pXbEXF0sErGuKjcY37jQblQkYWze8bkz7jwzOB7XYuMxyZ7Geet136flw+Wn3s4Oifm7VAjZY0PItIBvOxmBn8YODnOgSvN3t/slLPylnuoLncjjZtscmKXE8Zw24ZdvL67k3kzJrHh6b2xP4eHAFev2FKw4Me50VdTtsofjlG6/1cuOSN23e4wZbrZXPiqlRejfrRLFu6sY7JU/loNuyfH8RyrlbieZ0GlQb33ZoBIDpOXsZTqEFFJF2HsNT2hMx9YgtLTa/zH7+sf4OoVW8ZMlFTioemX544aPZj8/a5kjAu7d0zsynPt+47kBivn2eCFEvursd2zeYA5J03KfGWzUkz2sk/cUIt5MyZZfocEKGt8UNXDIvIJ4M469KdpiZMQqBZXwfkzJ8eyau87MFxUQ73a2a1KLfNxylYtumsrwyVlqvYfGinkZahlgMmKC5/JS/2pdNYkzIvpuu9tr6o+e60zNvWe9cnKLJPJUvm46nL3VP/v7PeWS4o4nmdhpUFv3/icGR8SxOQlmrhekn75iBtOCo6s1eKhWapjJR06FccI4o0NQ8OjBY/anpjeqdVWu2iFqhgme9mmkhwPZnhIhrhhF2tE5G+AFcB+r1FV96TSqyYk7YffdTt2x9pubG7j2olzo49Ttuq6720fM7MwPKoFRbmWASZjscRtLy/1oq9/oCiL98DgEIvu3sr/3977x8lVlnf/72s3kzAbMJtgoLhNCCINLSLJQwqxedoHUMCKYBSRUmm1Xx9pn/54BGkeQ6UmKJZtU8F+X377Q1sKVkoDBtYg1pAaEKUETEhCjJAHgRBYKESTjZCdJLO79/ePc87kzOz5cZ+ZOTPnzFzv12tfO3PmnDP3zJzr3Pd93df1uSDcqRU2ENxX49iLc47ZrEr7baK/WJhUVaae9jdCDleZutqWoiLubO7JQb9pM1My+vuChYb9hE2islqxI+d0tb1EYRtd6hdctE0nhWgHQ1CEZq0TePTwWOq6X1FtDHJ+eGPcsL4hasGt0cpmGU2pjUJtL4eElYcOwi+urDSGrfPBq1P7R75thi4KLUp78tvuG23c+9t0EGEdddS5k3zuZohQBZHCSnDX20uruOG+HZPKh5XHDTfctyP0N7QdhMY5x+JWpWtLm42Uyiy7u9qxUE/7GyGHq0xdbUtREXf1Dtqb2de8cXCsIm4Xdh8N0ySKU9VX6qKr7SUK21Qk/7WapARm2L7CZH2tICdwPRR6HNuasPRN7CDMAAAgAElEQVTjRaWpNrtvsP3uOqg8r9pezjj7C+utKwyquGRzsXI+GGNOSrsheSCtyS/YT4jSwuCsiHkDxtqBZH9fITBfskekohwdto/XiWSxg0ljJVjtpXWE5fBG5fYuu3B+YG5uEPU4zrxV6aCa6uUJUzWYq6f9jZC3VaZut6WoiLtV63bWdU9tZl/jXc8QngJyxdlzAlMKs1YytBPodnuJonYBKUxTYcBnP0kiXoP2FeAji+dOGks0q7rZ0UdNse4r4iJ1m903NFLZLIsptXGo7eUL21SLN03r5ckb3pNya7oPK+eDiPQBnwLmGmOuEpFTgPnGmG+l2roOwWZlPQ2BsB7B2iMORwaMm17Yy5rNw1UDyZ6QRSqv8x4eKdGDU8rKP+nydyJZ7GDSWAlWe8ketWr7tmbRI8K85fcjUHVMf7EQ6WyLGrANj5Qq5dOiSFquzaaiQN5WmbrdluIi7uq5p9r0Nb0iTBhDf18BY2B/qRyZzx6lo9I3tXqYodUu0qPb7SWOWoHIOPtJEvGaZN9mOHsFeyd1rwg3ffD0qs++cu2OiijlzL7o/qwebL6PJBoTWUdtLz8k0XhQx0M62KZd/DOwGfg19/lLwN2AGlUMUSvrUH1jvvTMgcrkoRlEOR7CQmFL5fHANtg4MSaAaT3CccccFVk3O0uaDSmtBKu9tIj+EDXyfl+VlSC1fVu8fWuPCHpPj3nHhkf6eNisPHv72ETj2FYUyOEqU9fbUljEnbfNP4k4qtBjdT6gEjlR61grFnqrJioeURWHbHRUos6tNI2utxdbkpT9tr1ebfdtRvSRgUm2G8aEMVWOh1px8H2jZXokevGoHqK+j+uHtleVJbXRmMg4ans5IInGw67Bi1JsSXdj63w42RhzuYhcAWCMKYlowqYNUStCB8sTVU6JNZuHueLsOVVRB40Q5mAApzMK67gacX6UyhM8svy8wNfSTFupl5RWgtVeWsTKS06bNJAq9AgrLzmt8jxMbT8tNj63jy9++AyuXr21aeeMi8axrSiQM+FWUFuK5dDYERnifaPlUOd2beln/2QkbD//azOKhUmTk0KPMDJ62DqSKOP6Ip2A2ksC2qUj1axIV1sHhH88s2rdzklVycBZYHrT1ClMnzalrr4hiXbW0JbhKseDR87vD2p7Gcc24kGA59XxkCq2zofDIlLEvceJyMnAodRa1QF4N+Iw73ZQeFtY1EE9CNFOhCgdhjSpDQ1f/NaZ7PpZqW0ToZRWgtVeWoTNZLrVqvrj7ipTM50PEB2Nk6SiQBadgBGoLUUQ5dx+4+BYZZIxPFKaJHbq4V0PXp91zeqtrFq3k3NPnV3lCB8plSn0CDP7CoyMlplRLPD6oTEOHE42gcqqvkiHoPZSB80UnbbRkarttxrpoQyOTsXLIyX6+wrsHy1Pqoo26it5HjXm218qs3XFBYnbkFQ7q9GypEnb1iJnu9pehjn7C+ut9jv+mKk89pnzU26NYut8WAF8B5gjIncAS4CPpdWovBOUS2hL3ESpV+CKs+fGRkd8ZPHcyJru5546m0Unzmq6zsTMiNJrQaHhjzx7pApRO8r+pbQSrPbSQuIm01ERQGngqfgPNFlENioap4MrCqgtRRCV7lBLecKwcm1wFZWgyUPQymR5wtA3dQpbPnsBSwY3RKYfhZFVfZEOQe0lITYlk5OMD2x1pPz9ViPlbwf6i5VoU69080SN2PG+0bJTwjmmG6zXNpNqZyUtS1ovLS4trbaXQc6/+SGeee1A/I4u6nhoDbbVLtaLyBPAYpxF9U8aY36aastyTJyScbHQy7QpPXUN3EC4cenpLDpxVuTK6oNP7+HcU2cHDiC9171w7KgIjTBm9hXYXypXaUEUeoUVF59WtZ+/47aZ/rUj7K7ZK8FqL9kiTG3fT2+PMJ5EnTXm/SA4qqbQIyAEVsKo7NMrYKgKjY2LxunUigJqS9EkzR0P63OC+qy4lcl6Vigzri+Se9RekhNXMjnp5LUeHal60zBq7SmsyhJE9zng9IFRthkkUrni4tNYunAg8WdOUpa0EVpZWlptL3skdTyoxkPriFSnEpH/5v0BJwKvAC8Dc91tSgBRnUx/scBNHzydlZecRrHQm/jc3upm3I3T05CIG0AuXTjAI8vPI8n6qABbPnsBN394AQP9RQTH+77qQ2dMUjK+7p7tDCcMK8xrWK7aSza5cenpXLl4biUKoFeEJSfPqrp2v3jZGaH7AJPso79Y4EuXL5h0zJWL51aceksXDnDTB0+vtpHLzmDVh86o2nbl4rmT7GjVZdX7xIn0BX1Gf1vyhtqSHcsunD+pH6mnX0lyz/VWJm1XKHtFrK9jj6EtwywZ3MBJy+9nyeCGSsi4EozaS/3ElUyOckwEEWYXM4rVUaH+a3zVup1ceuZA5Z5vMx7rLxa49MwBVq3bWbGTRiLtoiYDnkil33npRVMMbRkO/cxh24PuW2FlSRuhFaWl1fayi63jQVDHQ6uJi3z4YsRrBghWFuxyolajpk+bUgnlmzalp9KxiYBtZPhJy++f1JEFUSqPh4oRGaiUEHzbcdMTOQdsB5311rLOcViu2ksLqBXBE4GR0XJkSOyNS0/nxqWnV471p/v81/6D3L1pNz9+5fWKc682JcgAS06exR2feGdVO+5/8pWqY+5/8hXAiSzyh+kClXz6sHb6c+7rSf9ZdOKsyvv+woyjWHTiLOtjM4jakgVhaWM33LcjMPUiLC3ONoLCv9K67ML5fOqurZGVkOqpbtHiUOlOQe2lTqJEp+uNYqgVQQY44OoueOO/2mt8zebhiq0EVaSoRQRWP/5ila5LI5QnTGhEQJhIZXncOSapdlarhI9bVFq6IdsTkVuB9wGvGWPe7m5bCXwC2OPu9mfGmG833tTuwVbjAVRcsh1EOh+MMee2qiGdxLIL54emRLw8UgrUhOhJkJduiC71V7tv3OtJwpK8DsVmgNjMsNwWigbVjdpL+tRed347iJukhGmx1Doawnjk2b185KuPcscn3lnJra0NZd03Wq5Kf6gI/flSLYLa2eiEq9MmbGpL9oSljdVen0FpcZV9LcK+BwIqZoQ5OYL2t6WVodKdgtpLMDbjhqiJc1hKatTkNcwuvIn60oUDsdd4bTncIMLsrhHqcba8PFKqy5nQCuHjVpSWboLt3QZ8GfhazfZbjDF/3eC5uxLbqhYqLtk+rDQfRKQP+BQw1xhzlYicAsw3xmj92gCiBmVv6S8GdjzNyjdvJv3FAiOlckXMzj+YXDK4IXaAGLeaZlvtIm8TK7WX9IiLpomapNQbiePnkWf3WndsHkErRqXyOH92z5Nce9e2UKdjkglXp07Y1JbqI+lkYOnCATa9sDdUG0UgsITySMgEKGx/G1oRKt2pqL0cwXbcEGcr9Uxew+wiTi/Fv92bnDeaTpGEqPSJsDZ4x2SxilIrS0vXa3vGmIdFZF7TG9SlJBmfqeOhfdhWu/hnYDPwa+7zl4C7ga7r0GxZcfFpoZ3WNU0uwZcWUSWXbDrPc0+dHTiYTZqLnsOJldpLSthMQPIyeRkt1xZEm4xtm/PymetAbalOkk4GHnx6T+TrXsi4n7BJSX9E1aPac9ZODFoUKt2pqL24JBk3hNlKvZPXuGs47PUeEU5afn/V+4St3jfqSK9NyY1yqoSlkhR6o0Uqs0ALnSLNtr0/FpHfBTYB1xpj9jXexM7l7C+s59XXD1vvrxoP7SVScNLHycaYvwLKAMaYEnaaOF1LkNicl89nOzBrN1EiXzYCQ2GD2bhBbi1hE6hWrQbUgdpLSthMQJKKX2UZ2zZ30meuQW2pRUQ5qgyw7O5tk/qEZRfOd6qz1PDGwbFYkchaQWJvZfrcU2cHimhmfZKTERLbi4gcJSKPi8g2EdkhIje4208SkcdE5BkRWS0iU93t09znP3Ffn+c713Xu9p0icmFaH9KGZjlkPVHu5wcv4pHl51lNZMOEYP16KUHCsOPGVNmC5/ALGktOn5pcWNaPcc9lIwa7dOEAqy47g36f1tjMvgKX/+qcKsHLLheGbWZf9XfAycACHAHLQF0JEblKRDaJyKY9e5KNqzuJJI6HN03rVcdDBrB1PhwWkSKuo1RETgYOpdaqDsArS+QNrEYPj1VesxWWbDcr1+4IfS2uc4Xmdf5hEygh2kHSRtReUiJs0OYRt3pTTyWAdpFkwmVjjzlFbalFxDmqPEE6P0sXDjB96uQAyqB9awlbmX7w6T2hjnsllnrs5RBwnjHmDJzJzntEZDHwlzh556cA+4CPu/t/HNhnjHkbcIu7HyLyK8BvAacB7wH+VkTadsNtp0M2avHJe/3SMwcq1YmC8FfVCHKAFHpth+/B9BWSHz992pTK57noHSewZvPwJOdhRsdkraBpfZUx5lVjzLgxZgL4KnBWyH5fMcYsMsYsmj17dr3tzj22jofjj5nKkze8J+XWKDbYpl2sAL4DzBGRO4AlwMfSalTeCVIq9soSAey3FItsN1GiljbhiM0Kn/VSVWp9NsZ9/wwOStVeUqL2urOtdlF7bLuiZgRXRX1/KdIJ2SuSaMLVytzWFqO21ESiBPhsRCeDHMdh/VmckznKOZ3F/PGckNhejDEGeMN9WnD/PJX+33a33w6sxFmRfb/7GOAbwJdFRNzt/2aMOQQ8LyI/wZk0PdqEz5WYVogNhhEndDm0ZZjVj78YKzLu2Yh3vuGRUkWDq1FGyxOMuudPKtY8PFIKTKnNeDps2jStrxKRE4wxr7hPPwD8qCkt7EBU4yGfWDkfjDHrReQJYDHO+PmTxpifptqyHBNXlsi2rFmWCOtMozqZZnX+SxcORFYPSdLeVqD2ki6NTEyCjg2rXGFLD+BXb+jtkUABWb/WyfVD20PF/eopTwjZFPxqFLWlaJLc54ImEFev3srKtTtYeclpsaKTEOw4Du3PBBbc8AD7S8GOQdV2aD712osbobAZeBvw/wHPAiPGGC9k8yXA+/EGgBfd9xsTkf3Ase72jb7T+o+pfb+rgKsA5s6dm+QjWtMuh2yQnV2zeitXr95aEe1euXZHZBlNjxnFAgtueKBqIagZjocgmiXW3AE6Q3XRgO3dCZwDvFlEXsJxYpwjIgtwnIC7gN9Pq9155tTP2Fcf1VSLbGFb7eIDwAZjzP3u834RWWqMGUq1dTklrizRLZcviF1hygJeTfh6q000s/MfSDBQbXd1DLWXfOFdE/4KNf3FAu874wQefHpP5dqdd2yxqiSnAB9ZPJdFJ86adI1vemEvdz7mrGz1inDF2XOqRFa9x94+HvWWJ+xU1JbCSXqfu+G+HYF9zkipzHX3bGfTC3tZszk8ZLrQEywuFxYxYcyR6LmgtrVzZbpTqddejDHjwAIR6QfuBX45aDfvbUJeC9se9H5fAb4CsGjRotQSUZM6ZG2deVH7BU3UvQ84PFKydnQXeoQDh8fqdorXQzNSZbvVediA7V0RsPmf0mhjpzC0ZTh0QTIIdTxkD+u0C2PMvd4TY8yIiKwAun4AGERcWaKg0PH9B8uZ04LwasI3Um2iWauxSQaqGaiOofaSMxq9ToPU0+Mquty49PREVV+6FLWlEJLc54a2DAeWfvYfV+sI89NfLLDyEqc/8Er/+UswX3rmQOTxQW3r4FShdtKQvbj7P4SzetsvIlPc6IdfBF52d3sJmAO8JCJTgBnAXt92D/8xmcfWmRe3X9xEPc6Z4KXmjR4ei7TZNKin1KafLnceal/VApKkWSw5eRZ3fOKdKbZGqRdbxZmg/WwdF13HsgvnU+iZvAjgL0vkFxDauuKCkPUBOwT40uUL6j9BDFko4xcn4GTTrha2V+1FUZqD2lIISe5zceKPEB7OLRwpu+xVp/DvPzxSYs3mYatw8Nq21VNJQIkksb2IyGw34gFXMO/dwFPAg8CH3N0+CnzTfbzWfY77+gZXN2It8FtuNYyTgFOAxxv4LC0lypmXZL9GV/49WxhJyfEgQMDwNDSyCezEmpPqFHUg2lelTBLHA6COhwxjaxibRORmnFxAA/wJTn6gEoB38125dkcl7HRmX4EVF58WemNuRAfCQGQIUrHQw8HyRGL/xrV3beOa1VvpCRE46u8rsGRwQ8tWrWxXpzOQS5zYXkRkDvA14BdwJAS+Yoz5GxGZBawG5uHk/n3YGLPPFfj6G+C9wCjwMWPME+l8HEVpG9r3hJDkPmfjeA0TsusR4aTl94f2A0CiFMKgAaRNulFYqLt/e9/UXkYPj2Pcz1Ob7mRDO/WCmkA99nICcLur+9AD3GWM+ZaI/Bj4NxG5EdjCkVDwfwL+xRWU3ItT4QJjzA4RuQv4MTAG/JGbzpELbJ15cfvZCLeGIUKlvGZ/XyGVyAdDcMW1o4+aYi3WLFSvl9WrU9RhaF+VIuff/FCi/TXVItvYOh/+BPhznEkQwAPA9am0qENIGsbdSIcVx+FxU1dghTfQDBpwFnqFNw4eCQtsta5CFBnIJa7HXsaAa40xT4jIMcBmEVmPo5b8XWPMoIgsB5YDnwZ+E2dl6RTgbBwV8rOb/UE6laAJhl+noZZeERa/dSa7flaqCjmf2VfgYHmcUtmRnJzZV+Cid1RrRdhoQCihaN8TQpL7nI1ze/rUHn5+aHL/E9UPJCXsDPWo7ft1KrztBw4faf+4MRXxTFtba7deUBNIbC/GmCeBhQHbnyOgxJ8x5iBwWci5vgB8IVmTs4GtMy9uP0+4NS4NKQhjqFxvh1qsCRYXaeEf0+bcQZcW2lelxPVD23nmtQNW+x7VKzz9hfem3CKlUcRkTWgggEWLFplNmza1uxl1YbNa422HI/mvWfxVekWYMIa39Bc5cGgssBTnQH+RR5af14bWVZNG5ygim40xi5rUxLj3+ibwZffvHGPMKyJyAvCQMWa+iPyD+/hOd/+d3n5h58yzHTWT2gkGhFeoaAa11TA8/NUvuolW2lFaZMWWkgjkBZUrzhph/YenM1GLTdnBXhGevcluMBr2Plnp12pRW2oeQf1C0Ip+3H5Br3uRAjP7CuwvlYnrappVTjMJWb3GW0XebSkrdpQGtukWxx8zVctpthlbO7LSfBCR9V5OoPt8poisa6SB3YDXCQ27zgRvFeX6oe2B24FK/mvaeLoJSZgwppKPWG9t91bRzlziRu1FRObhrEQ9BhzvORTc/8e5u1XKnbmEljVTqgnK2U3L8QDBjgdwKl0o0WjfE43tfW7pwoHMOx4guV6PzQQtySQuA3pBDaH2Uj+2ulJx+4VVuxjoL7LlsxfwpqMKsW1pxPEQVHIkji4XimwKanvN5/qh7daOhyUnz1LHQ46wTbt4szFmxHvi5pwfF3WAEi5MFBSOVyqPc8N9OyqrWGnTIxKYuwcEboPq8MOw0EOD46Xs8tDyuu1FRI4G1gBXG2N+7kg7BO8asG3Sz9aKeup5IysTiVavbOUU7XuaRFi54kzhy3n304gmEgSfM4gM6AU1itpLAzSjOlecAyts4aZZFAs9TJ3Sy0ipXImgqB3T9QAITBgnyuLSM5tTlazLUdtrItcPba+kzcWh+g75w7baxYSIVGYu7sqsjpxjSLpas2+0XImGSBuvDf7i3AP9Rb50+QJuuXzBJGXjWs94nPqxl297/dD2Zjc9D9RlLyJSwHE83GGMucfd/KqbboH7/zV3u1VZM2PMV4wxi4wxi2bPnl3HR+k8sjKR6A13LClH0L6nSUTds4uFXk45bnpd57UdRNhgDCy7extDW4arttuo7Udx3T3bJ50ziKD3ydmqsNpLygRFtF6zeivzlt/PksENzCgGRzZ4/U4z+58eYPrU6ut1tDzBobEJvnT5Ap696b3sGryIWy5fUInU6C8W6O2VSurHuDGs2TwcaR9DW4ZZMriBk9zPaGNLXYjaXpN4x4rvqOOhw7EdN3wG+IGI/IuI/AvwPeC69JrVGYR1MlmbdHjK4F6+sD+sEPc1r5SU1+nUhh6G0aWh5Yntxa1e8U/AU8aYm30v+cua1ZY7+11xWAzsj9J7UI4QNMHoDao91iTCbrJXnD0n5BXFh/Y9TSLovg5HwsbXf+oclpw8K/mJhUo/0AwrKk+YSeUNa/ubpH1oUMnEIJKUdM4oai8pE5ZWAY4j4ucHgyMb5h3r2N2yC+dT6G1OfzNBtciqR+317k/Pmj5tCuXxyZG3YfYRlj6sDohJqO01gXes+E6g8HEQVy7WaN68YpV2YYz5jogswgnf3oozAYqMgUxaOrDeD5Blll04n2V3b6Psyycv9AiXnzWnSqE7CqHxkFMbxo2pUvX2Blv+9g+PlFh297aqfbz9wvKyujG0vB57AZYAvwNsFxGvbuqfAYPAXSLycWA3R1TGv41TZvMnOKU2f6+pH6KD8efm5qnaRTcqjNfZ99wKvA94zRjzdneblqwlPqzcXxc9SDgviAlDRajupIR12MMIihr0t72e97FNt2pG6H27qLPvURIQdx2FyQc98uzeyjipWOhham9PxXEwtVc4PN7csZLXztp+I2wsGfa5wtKHV63bmVs7SQO1vcax1XcAOOW46d2a1t0RWDkfROR/Ap/ECe3eCiwGHgWipHGTlg7sTGod3AKLTpzF83ve4JFn91Y2F3qgHKBM500y0irD6adUHufau7ZxzeqtvKW/yL4Dh6ocJ+CsSq1cu2NSxY4wshbl0QrqsRdjzA8IXzh8V8D+BvijhhvbpQRNMJYuHAjtzPzX+kAdE/+oc9vQASUA66LOvuc2nCoxX/NtW06Xl6ytnYSce+rsSU4y/7VU66SLmholGTTaYHAqT8w7tsjG5/Yxbgw9AtOm9HCwPEFPHdUAspJulSZ12ouSgGYsBpXKExR6hC9dvoClCwdYcMMDHG6yFoQBFn7uAd44OFa1gBSm6WWAt153f0UHwnOQ512EtVWo7TVG0j5k/afOSachSkuwTbv4JPCrwAvGmHNxlPj3RB1gjHnFW0EyxrwOPIWjxv9+4HZ3t9uBpXW0OxesWrdzUnhbedzwmXu3VzkeINjxAHDuqbMroaC1uX1pMG5MJbRuNKRRI6XypFC8MBa/dWYq7cw4ie1FyS5ZCDuNWn3qcOrpex4G9tZsDut33g98zThsBPo9jZVOIuga/vrG3bHXtD9cu9UhrsMjJR55dm/FyTBhnEmbITiirtAjoelTOdNtaATte1KmUf0Rj/KE4erVW1kyuCGwbHkz2DdanrSA5Nf5qsWvA+FpdoU57XpENPWiGrW9FqE6D/nH1vlw0BhzEEBEphljngase3LL0oEdR5hnOChHL4wHn3buXUsXDrDjc+/hysVzMxFNEDQZCmLXz7rSO96QvSjZIgsT/y5efWqWLXV1yVqb+3WpPM7KtTtCheUWnViHHkTK9IpUtBkuP2tO4IBmZl8hb7oNjaB9T53Yiip6i0Ez++JLZtrQjgo0ns5XHHc+9mKos8VL1VUHRAW1vTqwLaf5pmm97Bq8SB0PHYJtqc2X3Pq1Q8B6EdlHgLJ+EAlKB9Yel/sSgc0Iz8vq5ML2czXa/pzmuddtL91Ckt/Vv29/XwFjnHJlSa6HRq6jLEz8O6AEYL2kbUtWJWsh332S7bU6UipXVmGHR0pcvXorV6/eGnNU/YSFgNsybkwldH3J4IZJq7wAfVOn5KHPaBba99RB0rS2pQsHWLVuJ/tG0y2b6adRW/Ez0F+0uieMG1P5/NfetS2wRLxqP1RQ20uIbarFm6b18uQN70m5NUorsYp8MMZ8wBgzYoxZCfw5jip/bLpEwtKBte+Z+xKBzQjP808uvLq3eRJxbGRylIVw93qo1166hSS/a+2++0adyVGS66HR6yjsGm7lxL8DSgDWRRNtqaGStW5bctsnZdVJ1YyezLPlMId4O1aW24X2PfVRT3RbK5zPxUJPZbU3rIRnUgo9TmUzm3uCFx2xdOEAEyHjzqwukLUatb1kvO06e40HdTx0HolLdBtjvmeMWWuMORy1Xx2lAzsOLzyv3jSJ2slF3spWNjo5ykK4e6PY2ks3Efa7rly7w2rf2uPirodGr6Ogib/gTGpaVfO8A0oANkyDttTVJWublaeeRTxbDutns5Cm2A6077Gnnui2Vjj0jvLZ7H4LXQiritECm17Yy4FDY7G7+stBZ8EJnxfU9uIZs/Q8aznNziSx8yEBXunA80Rkq/v3XpzSgeeLyDPA+e7zjmXpwoFEkQpRk4tGIh5aPfxqxuQoC+HuSvMJ+/08IVM/NquWL4+UIvN1k15HtecCKhN/qA5/bWU0jl/875Hl53WV4yEJInInjsr4fBF5yS1TG9bvfBt4Dqdk7VeBP2xDk1MnyHl15eK5Vc/zzMsjpdD+MU+Rgkp7qGdi3QqHnpfWYdO/9Ipgc6mXxw13bNwdK3JZLPRUVWjq1ug7pblcP7Sdk6/7ttW+xx8zVctpdii2mg+JSVo6MMsMbRlm5dodlZv1zL4CKy4+rTL4j8sn77UsCzbQX6zUSwf4yFcfbVq+bb3DL29QmiR0tfZzRBH13XVxnntHE6WFUps/amM7/X2FyHzdJNdRWO7vTR88nUeWn8eSwQ2TzqV5r9nCGHNFyEtdXbI2qLwsHLkH55mo0pu9Ipy0/P5K/wI0TUcop5pESg1B5czjJta1pWjrKf9qwy//+b9TCiuH5lIs9HLTB0+3Hi/GtdI7n5/az6vXu5KUJOU0l5w8izs+8c4UW6O0k9ScD53C0JZhlt29rUrIat9omWXf2FZ5HidUZNshzTv2yGToI199dFI5zjSZPrWXw2MTVZ/T3/nWdsxR2HrC40Se6hkQKNln2YXzQwdJtdEIcbZTLPRiDKFpFUmvo6gUjaULBzQaR+koau/BeSXqPuG9NjxSYtnd20ColMCOExaMIqlIoZJd6p1Y+x16adlSnOPB2cfpo3rkSLnMehCI/OxhDkxFiSOJ40ErWnQ+6nyIYdW6nYEK2uVxU1ktCstf9zoy28iHR1+VvlsAACAASURBVJ7dy9CWYSe8ugWOh9qOZmjLMDfct6MS6jdtipOVE6V2HHRO284pbqKnnvbOZOnCgarrzE9tNMJARJTEgHs9hDkyPE2GeccWq64zAS49c/IgKkq0znMuaDSO0knYlkzuFIL68qSRS160Q9B9QKOg8kuSiXVUxEtQZaa0oiL8DI+UrPKow6pm+CNWvdRD/+cDHYsp6TJF4Cc3qeOhG1DnQwxRK5pRr/lLliXpdLyVk1Zwi1uizM9Bn5d9pFSetJIT59lP0r3arCKrp70zWXHxaVbRCGFRC56eyNCW4cgSZMMjpUmTBAPc+fiLLDpx1qRVqzA858K5p87m6xt3T3r93FPzVf1AUUAjdjxsvweb1W39TjuboIiXa9yStAMhk/KTEqz6NsIEjlbD4THDuDH0irD4rTPZ9bNSxWlw7qmzWf34i1WOOK8CRtjnW3a3s/DkHVKJImLyYpOmIin1oNEO3YU6H2qovXHOKBZChXkM9noOtrSymkPtCk2SSISo1WhbdBW5e7GNagnbDwjUX7BlfMJUXf9xK8DDIyXmX//vHBoLDoH91rZXePDpPZNWvGYUC4jAyGhZ88uVzBGlv9JN2PY5NpEi2n91NkHXgF+A+JrVW9n0wt4qobxW2lmpPFE1kQvUdKlVY/M9D/p8gdG/E4aVa3dU9UGaiqT48Y9ZougrpFn7QMki6nzwEXTjLPQKPTge5SDSCKV7eaTEkpNnpZ56UXtDSBKJcP3Q9oZXgHUVubuxjWqp3a9ZubX+69pmtTLM8QDVkU7+dBK/41Lzy5U0SeKcqhVR7maS6AjF3SdUk6jzibsGDPD1jbv51rZX2F8qV6IN1mweblmK05LBDYF6XcMjJe7YuHtSpKCXRhylaxRE7f0jbgGrmagzPtu87br7rctp/sUH35FuY5TMoc4HH4Ee33HDTHclM2qg5g/9blT05y39Re74xDtTF52sXaFJEonw4NN7As8Ztj3JvknOoXQfzcpT91/XrVqZsh2I1Q6sDhwaa2hQpwO1ziaJcypIRNmjr9DD1Cm97C+V666QlAd6RZgwJrEtRN0nwkLulc7Ctq/wxovDIyXWbB7m0jMHqqLj3jg4FmiDzcCz/2lTekKjNIKOOWn5/Q3pU7RKkFmd8dkmibjklwLSv5XOR50PPsJukCOjZZ53w9hOWn5/4M3bv63R/sTzWPvLzIS9bxgDFt722giDJFUBmtHJaOUApR6adX34r/+gaz8t4tofNLCq91xh59OBWmeRZMUxTEQZYOb0aRXROdu0puOPmcre0XKlgkTWEeCLHz6jrms/ToNG6QyinLX19BWl8jgPPr2nqgT59UPbufOxF1MToiyVxxP3Z4Zk0bwz+wpVz1uVStvKCAslGeff/FDk6wKV+ZTSvXSV8yFu9S/sxjmjWKgo/ybxCvtXV+YdW7SKYhCBa1ZvZdW6ncw7tsjG5/bV1Tn5ve1hHdzXN+7mwaf3VL6HIE2HUnmca+/axt2bdleJFvX3FayqFUShmg9KPTQrSsF//QOMT8SXNKslSuwyjL6pvVVK4ueeOruyIvaW/iKjhydHOYTRI1KpkBOGhsJ2PkkcubYiyjaTLAFeff2wfUNTpq/Qw8zp0yLvDx9ZPLdKaDbJ9aoVmDqfOGetjfZVEH7bGtoyzJrNw6lXwAgjSb/liVY+vmtflYOx0CusuPi0qn1bVR5dF66yyfVD23nmtQOR++j4XoEucj7YrP4F3TgLPcKBw2N1Va6YMIbnBy+KVdL3450+SKU/KZ63fSKizUEd66YX9lZpMYwbU+U4GR4pUegRCr1S1Rkl7WRa1VEpnUUzoxQ81e6xCVNXmHk9xxw4PM6Bw6XK+/ttLanNjxsTG8WgobCdTxJHbpTzzr9/7UR7RrHAgcNjVff8LMU6CPDBM3+RG5eeHhq1MbOvUBECrPd61QpMnU0SZ60ARxV6KJXjHdf1LmJFceXiuTz49J7E/caUHrBoMuD0MU/s3s/lvzqnykmeRCC62fbSjMUvpbnYajzo+F6BLnI+2HQoQTfO0cNjgTc5G2YUC6Hv3QiCc5Pde+BQbKfnfY6ozqn2e7jzsRdj21CeMPQXC0yfNqXuTkZXkZSkK4+eUF4z7SmtvFuoLzIiiqDqOnFRDBoK2/kkceQuu3B+oOZDoVcm7V/vKm/aDARc0wZYs3mYRSfOikyh9O45QZ+nVB7nhvt2aJ/UxcQ5a2udVqXyBIUe4eijpjAyWg7Ucyj0CD8/WF/59TAG+os8v+eNuuzS1vHgEZQ2EkbazrmhLcO8cXBs0vag+5fSGk79zLetHA9TRBciFIeucT7Yrv7V3jgbqc984PAYQ1uGm77C6NefiMMbPCWpTW7bMe4vldm64gKrfcPQVaTuJenKY5RQXhaprWbWDMKimKLuMRoK2/kkceR62/zVLmb2FVhx8WmB4pT1RhlFVYlqlAOHJk8+4IizK8zhJkLsPWTfaLmy4KDRO91HnLM2rBRl39QprLj4NFat28m+0XLFUTzQX+SnbxyibCv9b0GhV+ib2pN6RTQ/WbmPh2nWTJ86RW20TRy01Pv5yU2q9aA4dJTzIWoVNaxD6Zvay8nXfZtxY+gV4Yqz5zStPnN53HD16q31fZgITlp+P2/pLzKjWIiswOFNMGxWr/yroEGrq0H4wwiDctdtVow0R7x7SbpSHiWUl0U8m2rWinGvCL8w46jEUQytijBSDZf2ksSRa7vvDffVH2WUluMBoitPvTxS4pbLFwQ6TSZMuAMvDI3e6S7inLVhk3DPUeUdN25M5bhmjwPL4yY2t75ewsZ/ad3Hk44Bw77//Vo2OLOcctx01n/qnHY3Q8kQPe1uQLPwVmiGR0oYjnQEQ1uGgcmVHTwOHB6v3GjHjeHrG3dz/dARfYaw49qJ9/kOHB6j0FO9vuo9G+gvVilwL104wCPLz+PKxXMDz+n/nFecPSe2DZ4Whv/7/vrG3aHffxBxv5nS2SRdKc/Kygs4g9ElJ8+KfH3ZhfNZduF8ioXeROcOuylfcfacwPPZRDF49v/84EU8svy8VCZS9bZNySZDW4brTjlsJ2/pL7J04QA3ffB0eqU58UdZuvco6eJdOwP9RYTJY6mwSXivSKgzvd0MWDgOBKfs4Rc/fEbL7uP1jAHDvn91creWoS3DLBncEBuBfeXiuep4UCbRMZEPcauoDz69x/pcdz72YiX6IclxraY8bpjZV6Bvqr3uQtjn8W/3PrtXJcNTO/ZXu7DRwohbMdIc8e4m6Up5kigkkSPirXF45cJsJ1oDPjsLKpc2EGCH/pWd2gihoIihTS/srbK/2oisLEYLqYZLZxCliZAHDhwaq0QHJsmtH+gvcuDQWGBUhU5suouoyKCwyIiwCKEs2NGou1AVFTloYFKfNTxSqjhVPCdKM+/n9YwBbdMINao2PWzT8aYIVeMWRfHIrfOh9sYSdoMfHilx0vL7E4m++QcsWV/x2Ddapm/qkZ9x0wt7I2+4tqvKNy49PfKmYauFYVvWzfYYpXOwGUT47fyogl2glmDveADHhqZNsT/38EiJa+/axqYX9rLoxFmBjgSvXK7fsTCjWGD08Bhf37i7IkQ5PFLi/idfCcy394475qgp3P/kK9yxcXfFpm2Ev2ppxWBMNVyyRT2Crs2qJNMOejiSkmE76SsWeisr29cPba+qPuPRjghInTxlkzAna5TDrkeclJ92sW+0TKFXKEZU5vBHCXmfMa3qRXEOzqgxoI2TWysvpYuNiP5RvcLTX3hvi1qk5I1cOh+CbixRNHLPb0TzoRV4kyEILttXe8NtVl627fcSdV7NEe9u4gYRQaritUyb0kN5fKJqYFePvR8as8tQ987tpWj962O7K+8dZH/+5/4VVX8b942WWfaNbQCVCdAdG3dX9vEfV+8gSgdj3Yftb+6f5DarBGC7sNWZ6C8W2F8qVxyGq9bt5JrVW+kJSdNodQSk2mu2CXOyhjnusiBVVB43jEU0ZNyYKg2v0cNjgVEJV7uO9XqdYTYOzrgxYJyTW6Nq0yXMOSQcEcRXlChyqfnQ7NKVtfiHH/XkbLcKmzJ+tTmHzcrLtvle4s6rOeJKlBaBjZ2PjZu2Duya9d7lccOqdTsZ2jJc5XgIop484qjBmNKZ2PzmtTnXeXY8JGHrigt4fvAill04nzWbh2M/f6uj8dRe84enFZFl4szbr70QlYbYiD5XXL8uNB5plKeoWhG5VUReE5Ef+bbNEpH1IvKM+39mO9t4/s0PMW/5/ZW/MCUdXThUbMml86HRG4gnIhSG//5cKz6UBbz22w4T/d9XnJiSLUHnuXLx3ETnbVZblM7Exs47abL08kiJVet2Wtl10ntgngZjSnOw+c3TduRnlZOW38+SwQ2sXGtXzcMbVPtF1pYMbkhNHLmV9ioic0TkQRF5SkR2iMgn3e2BEyBx+H9F5Cci8qSI/DffuT7q7v+MiHy06Y3NOEsXDliJO3YC9TrD4q5hA6zZPNyQbeVMlPI24D0125YD3zXGnAJ8133eFs6/+aFJlVWCIsx04VBJQi7TLhpJhRjoL1bypb0Sm7XUKmRvemEv/7X/YKJwboHYUpj1IDif/2VXCMhm8lV7w21WXnYzzqM54koYNnZuawN5oL+vYD25aFaaVEYHY0oTsPnNu9X55K3u2uANqluZCtFiex0DrjXGPCEixwCbRWQ98DGcCdCgiCzHmQB9GvhN4BT372zg74CzRWQWsAJYhPMVbxaRtcaYfWk0OqsEaRkVegUMiUpFn3Lc9NTKaTaLpPePoS3DVqldjaZI2IpSZgFjzMMiMq9m8/uBc9zHtwMP4dhey4m6BgfcuYhq0ihJyWXkQ1C4fqFXJpWdrKX25hNWUtK/3ROgSjrBMUTXIq8XERKHyGaxXKiixBGX2lMs9HLF2XMymxaVFGPsJhfNSpPK6mBMaQ42v7k6n6LpFeHSMx0HeStTIVppr8aYV4wxT7iPXweeAgZwJkC3u7vdDix1H78f+Jpx2Aj0i8gJwIXAemPMXtfhsJ7JK7odT1BE56oPncGqy86obLMpAZt1xwMku394zjvbcWsjjtEOiKo93hjzCjj2CRwXtJOIXCUim0Rk0549ra/Ml3b5bqVzyWXkQ5hQXe22oBJ2fgMJKilZW9LuzsdebOEniyfIcd4rwoQxoR7lLJcLVZQwau18RrGACIyMliuP79i4m/6+AtOm9LC/VG5IXLbd7C+VWXnJaVy9emvoPkFlPG3QMpjdh81vHrRCqBxh3BjWbB5m0YmzWpoK0S57dVdgFwKPUTMBEhFvAjQA+AdGL7nbwrZ3HUERnUNbhjlwaKyjtFXCKlMFjcmTitk26hjthqhaY8xXgK8ALFq0qDMuKqUryKXzAcJvLElvNnElJaNulrsGL2KeZcnJNJkwhucHLwotf9mtobV5Q0RuBd4HvGaMebu7bRawGpgH7AI+bIzZJyIC/A3wXmAU+Ji3etVJhA3i/BOmfaNlioVebrl8QeTEPSuEpYq8pb/I0oUDrFy7IzBqyp8yVg/dMBhTqon7zYMmuaOHxyLF5jqNmX0Ffl4aC+3rveiGVqcutdpeReRoYA1wtTHm5xK+Oh/0gonYHvReVwFXAcydOzd5Y3PG0JZhPrV6q3U1lrwQVplqeKTEsru3gThiyhA9li4WenORItFCXhWRE1yn3wnAa6188+uHtlcWZcM45bjpLWyR0mnkMu2ilUSFx2XB8QBHBj85E9lRJnMb9sJD/rzbq3DybruCqPDnKxdneyBbLPSy+K0zJ43SvZK5SwY38L4zTrAOuU4qgNcqwTwlP9RWnFlx8WmB119/sdCmFobjdc/1ivwVC72suPg0JmJWZF8eKXV06pKIFHAcD3cYY+5xN7/qTnyomQC9BPhzVn8ReDli+ySMMV8xxiwyxiyaPbvz00JXrt2RecdDI4LqQX1yecJUHA9ReCkROU6RSIO1gCfY+lHgm616Y5tU81OOm876T53TqiYpHUhuIx9axeK3zuSRZ/e2uxkAjqaFz5MM1YOfPInsKJNJKDxUybsFNopIv+cpb01r0yUohNMbjESFP3tRTF/fuLtlbU1CqTzOfz67d9JyoPd8eKTEv27czW8vnhuZMja0ZXhShMTwSIlrVm/l6tVbA9Mz6hXMi/otkuyj5IOotMZ6UzRsykInpb9YYOuKCwDn+rvmrq2xpQRn9hXomzpl0nW6at3OSAFKLyoJjnwv/X0FjIFrVm9l1bqdub3m3Si6fwKeMsbc7HvJmwANUj0BWgv8sYj8G47g5H53hXYd8Be+soAXANe14jNknTT0v2wJs70gW4izAz/Tpx5xxNUbXeuNT7s5Kk9E7sQZ471ZRF7CEW0dBO4SkY8Du4HLWtWesFTzXhGevem9rWqG0uGo8yGGXT9rXcpCsdDD4TFT0Z9Y/NaZ7PpZKVLXwj/g0bzujiRp3m3unQ9xk+S48OdFJ87ijo27M6v/ENeuCWDN5pd46vO/Gfh67fcTdO4gx0JUxEjYPcLGYdHKKgBKa4iaDFx717ZEudtfunwBy+7elkjpP45ioZeVl5wW6IQLo7dHWHHxaYGfK0r7wu/A976XDrvmlwC/A2wXES9v7c8InwB9Gyfd7yc4KX+/B2CM2Ssinwd+6O73OWNMNlZu2kg7o8s8HbM1m4cnLUqF2cI1q7da9Z2HxyYY2jIc2SeHtWnCGB2fuhhjrgh56V0tbYhL2L29U3RKlGygzocYknh0dw1eBESnY+xytRmCzPhgeYLn3XNEEZfD2+038y7BKr82j7m1cZPkqAifoS3DfOouu8FTlimVw4N0g76f4HOMc+1d27h69dbIkqRR97iw32Ll2h0NOTWUfOL9nrYREAP9RVat29mw4yFolTZJO6ZP7eULHwgP5fZfy8O+MtZhAq+ddM0bY35AeNT9pAmQG233RyHnuhW4tXmtyw71RHd5TipbZvYVQvVWRJyKSAOWUQqFHuHoo6Zwx8bdzCgWOKrQw8hoOTZ6zdZSyxOmqk9e9o1tVVG5XvE5v+kXeoRVl52ROxvpZGqv6x4JF7ZXlGahzocYbD26fsMMG+h7+4Sdc0axwJLBDRq1oPgJEx6yyq/NoxpynKp8VFj4sm9sC+w4OwnbFSY4sloRtWoRpQkT9luMlMqVVa9WVgFQ2k/YRL02vNtzCF7ToAhs2CrtksEN1ikgOz4XX/ExieNer/nuot5IF1tHMcCVi+dy49LTWTK4ITiyb0a14HCUXfUXCxzwCcd6kUHFQk+o46GelKqq6z0gl1B6XI+Jh85fM0XQdR0mBHjF2XNCXlGU5KjgZAzzjrUTsvIbZpiRetvPPTVYYOn1Q2MMj5QwHOncVBCu6wkTHloL/K44LMbNu21HA5uNjXBqrUiel7dtI3CVF+aFiEI2cwVCCL8fQbRjYtW6nZH7qNBt5+LZ367Bi3j2pveya/Aibrl8QaBoXL3XQZz4nO1EPw2hzHqueRV7zS9RkS5R2F6jhR5h0YmzIo+p3d7fF3xdz+wrMH3alMC+sFSeYNnd2yZde0mcJH686z0oumkCGK/ZVh43sd+Z0jqCfvcJHCeVN87oFak4xhSlWajzIYaNz+2LfD3IMG9cejpXLp4barwPPr0n8Fy1N2qbzk3pHFzhoUeB+SLykptrOwicLyLPAOe7z8HJu30OJ+/2q8AftqHJqVCvqnwnrjoGOSGbmXtpgDWbh0MnQlHfufd9d3IVAMWeIIcgBF8fcczsK9DfV2B4pMTVq7ey4IYHJl2jNk6NQo+w8pLTEr23DUmveW+FURcX8km9kS62jjcvhSHqGG+758QKS88YGS1HRsf538ujnr7Tf70nOb4T++m8EvZbHCxPVJzKz970XnU8KE0ntbQLEbkVeB/wmjHm7e62WcBqYB6wC/iwMSZ6dt9mogb6uyL0GW5cenqoweqNWgkiifBQVN5t3kkqnJo0VzVv1OaSD4SkbfUXnRWvl0dK9ERoPMSd38/ShQPccN+OwIGuNxhWoVsliqAqEYfK44yG6JoUeoX9pXJV+tRIqcyyu7dVnS9MJNLLje8vFhBJpxqFdx6/bUybEr6Wk0QjQivHZI84keMwooRMa/E7c6M0jeLOZ3PXrx1X2qQXi7tf0HWZRHBSI+Lay/VD27nzsRfrTsVUlGaQpubDbcCXga/5ti0HvmuMGRSR5e7zT6fYhoaJ02+oh0Zu1DowUboB2/zrenNV84b/fhE2OF15yZG8+KTfS5STc8XFp8WW8M2L0K2I7AJeB8aBMWPMojw6xfOG//oIEuHz9CIG+oscODQWWL3CL3DnnROCnV6tqkZx0OdAGSmVQ9/DduW8w6podAz1ljEPukbDrm8bZ24SnZMoaseVNk4SA1WaE3HHx5WGV1rP9UPbY8uQ62+ktILUnA/GmIdFZF7N5vfj1LMFuB14iIw7H644e06gsTYivhJ0ow5TmPXnY+vARFGqqTdXNY94Ao82kQZhooBhztSolY4OjGw41xjzU9/z3DnF80yQzXqOh0eWn8dJEdWiaifrYU6vsEiDG+7b0bTrNkk0g+3KeSdV0egkGrkH1l6jQY5hW2duMyJhCz0yaXJZ218EMVBHHxG0Ta/j9nHnYy+GvuZFtuhvpLSCVle7ON4TxXPV+49r8fsnxkud8MKUvLrJjeRAJfGG+/UhdGCiKNVEDcb8nSkcsbcZbjj2vtHyJIX+ZlHoES4/aw6rf/hi1cpPoVeY0iORpTTDqF31jbP5oH1sBr625+ogcucUzzNxUQBRkYG24cBh77Fv9EiVliQMbRlm5dodlT46qiRi0HuHrSyPHh6rao9W0cguzboHNuLISBI16+Ff2OovFqoi5GrbFRQ1BI31ER3cb+SOqFSL5yPSyBWl2WS21KaIXAVcBTB37ty2tiVKv6Feam/UYas9/kGHDkyUbiMuzShsMOatovoJGgR55086oItiwOfwWP14zUqDoS7HA8TbuU1KVgdGMSTFAA+IiAH+wS1Fa+UUz1KflGfiogCWXTifZd/YNkmtP2jFNul7AImd9UNbhll297YqNf8wx4P33rV47+d3YHjn8Ucv1qstoOSLeh0ZSTQkwHEahFWLiWobdHUf0VH4xwVhNLOClqLY0Grnw6sicoI7wDsBeC1sR3dQ+BWARYsWdaqWXAWbQUc7ByaqNaG0Gps0o3nHBtuEbYlcbxAYVls9KX6nx5LBDZPKj5UnwlMf4ogr42ebktXhUQxxLDHGvOw6GNaLyNO2B3Zbn5QWcfnzQWKOUSu2Ye9x9eqtga8F6Sz4+7ZzT53Ng0/vqTwfPTw2yY49aiOnolaIvXLAtRGO/ujFerUFlO7AJj2iV4QJYyLHaXHjuS7vIzoGW+2nRtLIFaUeWl1qcy3wUffxR4Fvtvj9M4tN6a52lbTTMmFKO7CprR5WCjeuRG4t9ZQDrKXWFsNWGsaNqeu9/PovtdRbh77bMMa87P5/DbgXOAvXKQ4Q5xRXGmfpwgFu+uDpDPQXERyHXe3q7NKFA2z57AXsGryIXYMXsXXFBYlXb/uLhcDX/E68oL7t6xt3Vz2PinLwtCrCPkctcdGLNt+N0t14JW3D1qonjJlU7taPjue6hzhNrF4Rrlw8V0tpKi0nzVKbd+Lk0b5ZRF4CVgCDwF0i8nFgN3BZWu+fN5KKyLUyAkG1JpR2YJNmFBZBkDSyIMi2/Cug/X0F3jhYvQJa6BGOPmoKI6PlxCkhyy6cnzjdw6//UoumZMUjItOBHmPM6+7jC4DPccQpPog6xVtCK1ZWV14SX6WlUcHaoPSuKGyiF3XVWbGh3khYHc91D2H9v6AaD0p7SbPaxRUhL70rrffMO/WKyKWNTmyUdmAzuGpmKdw420qaehQVQl1PukeUvWmuuBXHA/eKc21MAf7VGPMdEfkh6hTvOGyc9Y30YYVeew0KD02rUJpFvdeSjue6Bx0XKFkls4KTSnbQG5jSDmwGV2mUwg0jqePPZvIT9BnDKnBE2ZtOauIxxjwHnBGw/WeoU7wjibNZ2+oBXgqHv9rFiovtNSj87QEV81Map95rScdz3YOOC5Ssos4HJRa9gSntwGZwlUYp3GYSN/kJS/dYs3k4kb3ppEZRkmNTPaBY6E0kdhmHplUozaKea0nHc92DjguUrKLOByUWvYEp7cJmcJVGKdxWEvQZF504K7G96aRGUZIRp/WifZ3Saeh4rrvQcYGSRdT5oFihNzBFaR1qb4rSGtTWlG5Dr3lFUdpJq0ttKoqiKIqiKIqiKIrSZajzQVEURVEURVEURVGUVBETUKYua4jIHuCFlN/mzcBPU36PZpKn9uaprRDe3hONMbNb3ZhmoXYUiLY3XYLam2s7ArWlELS96dGRfRKoLQWQp7ZC57Q317akdhSItjc9GrKjXDgfWoGIbDLGLGp3O2zJU3vz1FbIX3uzRN6+O21vuuStvVkib9+dtjc98tTWLJKn7y9PbQVtbzeRt+9O25sejbZV0y4URVEURVEURVEURUkVdT4oiqIoiqIoiqIoipIq6nw4wlfa3YCE5Km9eWor5K+9WSJv3522N13y1t4skbfvTtubHnlqaxbJ0/eXp7aCtrebyNt3p+1Nj4baqpoPiqIoiqIoiqIoiqKkikY+KIqiKIqiKIqiKIqSKl3pfBCRW0XkNRH5kW/bLBFZLyLPuP9ntrONHiFtXSkiwyKy1f17bzvb6EdE5ojIgyLylIjsEJFPutsz9/1GtDWz32+WyJMdQb5sKU92BGpLjaK2lB5qS92D2lG65MmW1I4aQ20pPfJkR5COLXVl2oWI/AbwBvA1Y8zb3W1/Bew1xgyKyHJgpjHm0+1sp9uuoLauBN4wxvx1O9sWhIicAJxgjHlCRI4BNgNLgY+Rse83oq0fJqPfb5bIkx1BvmwpT3YEakuNoraUHmpL3YPaUbrkyZbUjhpDbSk98mRHkI4tdWXks9ZNbAAADGpJREFUgzHmYWBvzeb3A7e7j2/H+WLbTkhbM4sx5hVjzBPu49eBp4ABMvj9RrRVsSBPdgT5sqU82RGoLTWK2lJ6qC11D2pH6ZInW1I7agy1pfTIkx1BOrbUlc6HEI43xrwCzhcNHNfm9sTxxyLypBtqlInQnFpEZB6wEHiMjH+/NW2FHHy/GSXTv3MImf6t82RHoLbURDL/WweQ6d9abakryfzvHEDmf+c82ZLaUdPI9O8cQqZ/6zzZETTPltT5kE/+DjgZWAC8Anyxvc2ZjIgcDawBrjbG/Lzd7YkioK2Z/36VppHp3zpPdgRqS11Opn9rtSUlJ2T+d86TLakddTWZ/q3zZEfQXFtS58MRXnXzWrz8ltfa3J5QjDGvGmPGjTETwFeBs9rdJj8iUsC5QO8wxtzjbs7k9xvU1qx/vxknk79zGFn+rfNkR6C2lAKZ/a2DyPJvrbbU1WT2dw4i679znmxJ7ajpZPJ3DiPLv3We7Aiab0vqfDjCWuCj7uOPAt9sY1si8S5Olw8APwrbt9WIiAD/BDxljLnZ91Lmvt+wtmb5+80Bmfudo8jqb50nOwK1pZTI5G8dRlZ/a7WlrieTv3MYWf6d82RLakepkLnfOYqs/tZ5siNIx5a6tdrFncA5wJuBV4EVwBBwFzAX2A1cZoxpu3hJSFvPwQlzMcAu4Pe9PKF2IyL/Hfg+sB2YcDf/GU5+UKa+34i2XkFGv98skSc7gnzZUp7sCNSWGkVtKT3UlroHtaN0yZMtqR01htpSeuTJjiAdW+pK54OiKIqiKIqiKIqiKK1D0y4URVEURVEURVEURUkVdT4oiqIoiqIoiqIoipIq6nxQFEVRFEVRFEVRFCVV1PmgKIqiKIqiKIqiKEqqqPNBURRFURRFURRFUZRUUeeDoii5RERWisifisjnROTddRx/joh8K422NRsRWSoiv9Ludiidi4jME5FM1EFXFCUaEfnHuD5BRG4TkQ8FbJ8nIr+dXusUJZuIyEMisqhJ56oal9U7Fu1G1PmgKEquMcZ81hjzH+1uR8osBdT5oGQSEZnS7jbYkJd2Kkocxpj/aYz5cZ2HzwPU+aAoMYhIb8TLVeOyLhmLNgV1PuQc14P9tOsF/5GI3CEi7xaRR0TkGRE5y10h/hcR2eBu+4R7bI+I/K2I7BCRb4nIt4O85IqSFUTkMyKyU0T+A5jvbqus7ojIoIj8WESeFJG/9r3+9yLyfRH5vyLyvoDzniUi/ykiW9z/3rl7ReSvRWS7e84/cbefKSLfE5HNIrJORE5wtz8kIreIyMMi8pSI/KqI3OPa3Y2+97tSRB4Xka0i8g9eBycib4jIF0Rkm4hsFJHjReTXgEuAVe7+J6f6JSvdTK+IfNXtEx4QkaKILHCvxSdF5F4RmQmVa/0vROR7wCdF5DK3D9omIg+7+/SKyCoR+aF7/O+7289xbeRe117/XkR63NeucO3tRyLyl+62D4vIze7jT4rIc+7jk0XkB+7jKJustLO1X6eiRCMi/0dE/rf7+BYR2eA+fpeIfF1ELhCRR0XkCRG5W0SOdl+vrOCKyMfdvu0h136/7HuL33D7tOd847tB4Nfd/uSaFn5cRbFCRIbce/kOEbnK3fYe1w62ich33W1Hi8g/+8Zol7rbA+2m5j3CbGuXiHzW7VsuE5FPuH3YNhFZIyJ9QeMyqR6Lvkuc8eR2EblVRKb5zn2D+57bReTUlnyhWcMYo385/sPxYI8Bp+M4kzYDtwICvB8YAlYC24Ai8GbgReAtwIeAb7vH/QKwD/hQuz+T/ulf0B9wJrAd6APeBPwE+FPgNvdangXsBMTdv9/9fxvwHfc6PwV4CTgKOAf4lrvPm4Ap7uN3A2vcx/8LWON7bRZQAP4TmO1uuxy41X38EPCX7uNPAi8DJwDT3Pc9Fvhl4D6g4O73t8Dvuo8NcLH7+K+A632fQW1T/1L78/UlC9zndwFXAk8C/8Pd9jngS+7jh4C/9R2/HRhwH3u2d5XvGp4GbAJOcm3vIPBWoBdY79rwW4DdwGxgCrABZ3XpF4Afuuf5BvBDYAD4KHCThU3+bbO/L/3Tv2b8AYuBu93H3wced6/nFcCngYeB6e7rnwY+6z5+CFjk2swuX9/0feDL7j63AXfj9H2/AvzE3X4Obt+nf/qXxT9glvu/CPwIOB5n7nJSzet/6fVJ7vOZOPOcOLuJ2mcX8H985zzW9/hG4E/cx7fhG5dxZCx6lNvWX3K3fw242ndu7/g/BP6x3d91O/40BLEzeN4Ysx1ARHYA3zXGGBHZjjOg3Ap80xhTAkoi8iBwFvDfcTq9CeC/3O2KklV+HbjXGDMKICJra17/Oc6E5h9F5H7Ar+dwl3udP+OumtZ6m2cAt4vIKTgOgIK7/d3A3xtjxgCMMXtF5O3A24H1IgLO5OkV37m8dm0HdhhjXnHb+xwwB8fuzgR+6B5fBF5zjznsa/dm4HyL70VRmsXzxpit7uPNwMk4joTvudtux5nMeKz2PX4EuE1E7gLucbddALzDt+I6A8cBeBh43BjjRTDciWMXZeAhY8wed/sdwG8YY4bcFa5jcGzoX4HfwLkn3IMTBRVlk/52KkqW2Ayc6V7bh4AncCZHv47Tl/wK8Ih7XU8FHq05/izge8aYvQAicjfwS77Xh9y+78cicnyaH0RRmsj/FpEPuI/n4DiyHzbGPA/OWMx97d3Ab3kHGWP2iRPdGmc3i2P28fcZbxcncrUfOBpYF9P2+Th96f91n98O/BHwJfe51z9uBj4Yc66ORJ0PncEh3+MJ3/MJjvzGpuYYgxMdoSh5ovY6PvKCMWMichbwLpzO6I+B80KOq33+eeBBY8wHRGQejnccHBup3VdwnArvDGmK3/5qbXOKe/ztxpjrAo4tG9clDoyj92iltfiv13GcwVYUB7wHxpg/EJGzgYuArSKyAOda/xNjTNVgTUTOIXmf9CjwezjRTd8H/h/gncC1wFyibfJAyHZFaSvGmLKI7MK5tv8TJ9LoXBzH3/PAemPMFRGniBvH+W1ax3xK5nH7h3cD7zTGjIrIQzjR2/ODdid4jGZjN1H7+PuM24ClxphtIvIxnMihyI8Q87pnk107xlPNh+7h/SJylIgci2M4PwR+AFwqjvbD8cQblKK0k4eBD4iTh34McLH/RTdfb4Yx5tvA1cAC38uXudf5yTih3jtrzj0DGHYff8y3/QHgD8QVqhMRL7Vjtoi8091WEJHTEnyO7wIfEpHjvHOKyIkxx7wOHJPgPRSlGewH9onIr7vPfwf4XtCOInKyMeYxY8xngZ/irFatA/6XiBTcfX5JRKa7h5wlIieJo/VwOU5/9BjwP0TkzeLooFzhe7+HcdKsHga24EzQDhlj9tO4TSpKO/Ff298H/gAnYnUjsERE3gbg5pr/Us2xj+PYzEy3n7rU4v20P1GyzAxgn+t4OBUnSmEaznV+ElTGYuCM0f7YO1AcTSIbu7HZx+MY4BW3H/uIb3uYHT0NzPPOTUS/2a2o86F7eBy4H8fgPm+MeRknl/0lnHyqf8AZ+O1vWwsVJQJjzBM4oXBbca7d79fscgzwLRF5EudG7xfS2ulu+3fgD4wxB2uO/SvgJhF5BCdk2+MfcXLQnxSRbcBvG2MO4+T1/aW7bSvwawk+x4+B64EH3Laux9GFiOLfgGWugJEKTiqt5KM4olpP4jj0Phey3ypXQOtHOJOobTj282PgCXf7P3BkpedRHOG7H+Gs8N7rpihdBzzoHv+EMeab7v7fx3FoPGyMGcfJqf0BQKM2qSht5vs4fcCjxphXcdIHv++mH30MuNO1v43UpAwaY4aBv8AZv/0Hjr3FjeOeBMZcAT0VnFSyxneAKe41/3mc634PTurFPe493kuLuBGYKa7YMXCupd3E7uPjz3Hsaz2OY8EjcFzmji9/D7jbTX+fAP6+ni+iU5EjEb5KpyIiK4E3jDF/HfDa0caYN9yIiMeBJcaY/2p1GxUlLUTkNhxxrW+0uy2KolTCav/UGDOp8oyiKMnwjeOmAPfiiK3e2+52KYqiBNGVuSZKFd8SkX4csZXPq+NBURRFURQlN6wUkXfjqOw/gFPlTFEUJZNo5IOiKIqiKIqiKIqiKKmimg+KoiiKoiiKoiiKoqSKOh8URVEURVEURVEURUkVdT4oiqIoiqIoiqIoipIq6nxQFEVRFEVRFEVRFCVV1PmgKIqiKIqiKIqiKEqqqPNBURRFURRFURRFUZRU+f8BxPR22WIufVEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1296x1296 with 25 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Excercise 9e\n",
    "f, axarr = plt.subplots(5,5,figsize=(18,18))\n",
    "\n",
    "col_to_use = ['mpg','displacement','horsepower','weight','acceleration']\n",
    "c_row = 0\n",
    "for row in df[col_to_use]:\n",
    "    c_col = 0\n",
    "    for col in df[col_to_use]:\n",
    "        var1 = df[row]\n",
    "        var2 = df[col]\n",
    "        axarr[c_row,c_col].scatter(var1,var2)\n",
    "        axarr[c_row,c_col].set_xlabel(col)\n",
    "        axarr[c_row,c_col].set_ylabel(row)\n",
    "        c_col += 1\n",
    "    c_row += 1\n",
    "f.subplots_adjust(hspace=0.3, wspace=0.3)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Columns: 15\n",
      "Rows: 506\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>crim</th>\n",
       "      <th>zn</th>\n",
       "      <th>indus</th>\n",
       "      <th>chas</th>\n",
       "      <th>nox</th>\n",
       "      <th>rm</th>\n",
       "      <th>age</th>\n",
       "      <th>dis</th>\n",
       "      <th>rad</th>\n",
       "      <th>tax</th>\n",
       "      <th>ptratio</th>\n",
       "      <th>black</th>\n",
       "      <th>lstat</th>\n",
       "      <th>medv</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0.00632</td>\n",
       "      <td>18.0</td>\n",
       "      <td>2.31</td>\n",
       "      <td>0</td>\n",
       "      <td>0.538</td>\n",
       "      <td>6.575</td>\n",
       "      <td>65.2</td>\n",
       "      <td>4.0900</td>\n",
       "      <td>1</td>\n",
       "      <td>296</td>\n",
       "      <td>15.3</td>\n",
       "      <td>396.90</td>\n",
       "      <td>4.98</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>0.02731</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>6.421</td>\n",
       "      <td>78.9</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>2</td>\n",
       "      <td>242</td>\n",
       "      <td>17.8</td>\n",
       "      <td>396.90</td>\n",
       "      <td>9.14</td>\n",
       "      <td>21.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>0.02729</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>7.185</td>\n",
       "      <td>61.1</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>2</td>\n",
       "      <td>242</td>\n",
       "      <td>17.8</td>\n",
       "      <td>392.83</td>\n",
       "      <td>4.03</td>\n",
       "      <td>34.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>0.03237</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>6.998</td>\n",
       "      <td>45.8</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3</td>\n",
       "      <td>222</td>\n",
       "      <td>18.7</td>\n",
       "      <td>394.63</td>\n",
       "      <td>2.94</td>\n",
       "      <td>33.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0.06905</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>7.147</td>\n",
       "      <td>54.2</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3</td>\n",
       "      <td>222</td>\n",
       "      <td>18.7</td>\n",
       "      <td>396.90</td>\n",
       "      <td>5.33</td>\n",
       "      <td>36.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>0.02985</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>6.430</td>\n",
       "      <td>58.7</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3</td>\n",
       "      <td>222</td>\n",
       "      <td>18.7</td>\n",
       "      <td>394.12</td>\n",
       "      <td>5.21</td>\n",
       "      <td>28.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>0.08829</td>\n",
       "      <td>12.5</td>\n",
       "      <td>7.87</td>\n",
       "      <td>0</td>\n",
       "      <td>0.524</td>\n",
       "      <td>6.012</td>\n",
       "      <td>66.6</td>\n",
       "      <td>5.5605</td>\n",
       "      <td>5</td>\n",
       "      <td>311</td>\n",
       "      <td>15.2</td>\n",
       "      <td>395.60</td>\n",
       "      <td>12.43</td>\n",
       "      <td>22.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>0.14455</td>\n",
       "      <td>12.5</td>\n",
       "      <td>7.87</td>\n",
       "      <td>0</td>\n",
       "      <td>0.524</td>\n",
       "      <td>6.172</td>\n",
       "      <td>96.1</td>\n",
       "      <td>5.9505</td>\n",
       "      <td>5</td>\n",
       "      <td>311</td>\n",
       "      <td>15.2</td>\n",
       "      <td>396.90</td>\n",
       "      <td>19.15</td>\n",
       "      <td>27.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>0.21124</td>\n",
       "      <td>12.5</td>\n",
       "      <td>7.87</td>\n",
       "      <td>0</td>\n",
       "      <td>0.524</td>\n",
       "      <td>5.631</td>\n",
       "      <td>100.0</td>\n",
       "      <td>6.0821</td>\n",
       "      <td>5</td>\n",
       "      <td>311</td>\n",
       "      <td>15.2</td>\n",
       "      <td>386.63</td>\n",
       "      <td>29.93</td>\n",
       "      <td>16.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>0.17004</td>\n",
       "      <td>12.5</td>\n",
       "      <td>7.87</td>\n",
       "      <td>0</td>\n",
       "      <td>0.524</td>\n",
       "      <td>6.004</td>\n",
       "      <td>85.9</td>\n",
       "      <td>6.5921</td>\n",
       "      <td>5</td>\n",
       "      <td>311</td>\n",
       "      <td>15.2</td>\n",
       "      <td>386.71</td>\n",
       "      <td>17.10</td>\n",
       "      <td>18.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0     crim    zn  indus  chas    nox     rm    age     dis  rad  \\\n",
       "0           1  0.00632  18.0   2.31     0  0.538  6.575   65.2  4.0900    1   \n",
       "1           2  0.02731   0.0   7.07     0  0.469  6.421   78.9  4.9671    2   \n",
       "2           3  0.02729   0.0   7.07     0  0.469  7.185   61.1  4.9671    2   \n",
       "3           4  0.03237   0.0   2.18     0  0.458  6.998   45.8  6.0622    3   \n",
       "4           5  0.06905   0.0   2.18     0  0.458  7.147   54.2  6.0622    3   \n",
       "5           6  0.02985   0.0   2.18     0  0.458  6.430   58.7  6.0622    3   \n",
       "6           7  0.08829  12.5   7.87     0  0.524  6.012   66.6  5.5605    5   \n",
       "7           8  0.14455  12.5   7.87     0  0.524  6.172   96.1  5.9505    5   \n",
       "8           9  0.21124  12.5   7.87     0  0.524  5.631  100.0  6.0821    5   \n",
       "9          10  0.17004  12.5   7.87     0  0.524  6.004   85.9  6.5921    5   \n",
       "\n",
       "   tax  ptratio   black  lstat  medv  \n",
       "0  296     15.3  396.90   4.98  24.0  \n",
       "1  242     17.8  396.90   9.14  21.6  \n",
       "2  242     17.8  392.83   4.03  34.7  \n",
       "3  222     18.7  394.63   2.94  33.4  \n",
       "4  222     18.7  396.90   5.33  36.2  \n",
       "5  222     18.7  394.12   5.21  28.7  \n",
       "6  311     15.2  395.60  12.43  22.9  \n",
       "7  311     15.2  396.90  19.15  27.1  \n",
       "8  311     15.2  386.63  29.93  16.5  \n",
       "9  311     15.2  386.71  17.10  18.9  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Exercise 10a\n",
    "fname = 'Boston.csv'\n",
    "df = pd.read_csv(fname)\n",
    "print('Columns:',len(df.columns))\n",
    "print('Rows:',len(df.index))\n",
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 16 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Exercise 10b/c\n",
    "f, axarr = plt.subplots(4,4,figsize=(15,15))\n",
    "\n",
    "col_to_use = ['crim','medv','nox','black']\n",
    "# crim = per capita crime rate by town\n",
    "# medv = median value of owner-occupied homes in \\$1000s\n",
    "# nox = nitrogen oxide concentration (parts per 10 million)\n",
    "# black = 1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town\n",
    "c_row = 0\n",
    "for row in df[col_to_use]:\n",
    "    c_col = 0\n",
    "    for col in df[col_to_use]:\n",
    "        var1 = df[row]\n",
    "        var2 = df[col]\n",
    "        axarr[c_row,c_col].scatter(var1,var2)\n",
    "        axarr[c_row,c_col].set_xlabel(col)\n",
    "        axarr[c_row,c_col].set_ylabel(row)\n",
    "        c_col += 1\n",
    "    c_row += 1\n",
    "f.subplots_adjust(hspace=0.3, wspace=0.3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 18.    0.   12.5  75.   21.   90.   85.  100.   25.   17.5  80.   28.\n",
      "  45.   60.   95.   82.5  30.   22.   20.   40.   55.   52.5  70.   34.\n",
      "  33.   35. ]\n",
      "Length: 26\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'Suburbs (zn val)')"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x216 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Exercise 10d\n",
    "suburb = df.zn.unique()\n",
    "print(suburb)\n",
    "print('Length:',len(suburb))\n",
    "\n",
    "#Grouping\n",
    "grouped = df.groupby(df['zn'])\n",
    "\n",
    "#Plotting\n",
    "f, axarr = plt.subplots(1,3,figsize=(15,3))\n",
    "\n",
    "#Crime\n",
    "axarr[0].plot(grouped['crim'].mean())\n",
    "axarr[0].set_title('Crime levels')\n",
    "axarr[0].set_xlabel('Suburbs (zn val)')\n",
    "#Tax rates\n",
    "axarr[1].plot(grouped['tax'].mean())\n",
    "axarr[1].set_title('Tax rates')\n",
    "axarr[1].set_xlabel('Suburbs (zn val)')\n",
    "#Pupil-teacher ratios\n",
    "axarr[2].plot(grouped['ptratio'].mean())\n",
    "axarr[2].set_title('Pupil-teacher ratios')\n",
    "axarr[2].set_xlabel('Suburbs (zn val)')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Zones bound: 4\n",
      "Zones not bound: 22\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "zn\n",
       "0.0      False\n",
       "12.5      True\n",
       "17.5      True\n",
       "18.0      True\n",
       "20.0     False\n",
       "21.0      True\n",
       "22.0      True\n",
       "25.0      True\n",
       "28.0      True\n",
       "30.0      True\n",
       "33.0      True\n",
       "34.0      True\n",
       "35.0      True\n",
       "40.0     False\n",
       "45.0      True\n",
       "52.5      True\n",
       "55.0      True\n",
       "60.0      True\n",
       "70.0      True\n",
       "75.0      True\n",
       "80.0      True\n",
       "82.5      True\n",
       "85.0      True\n",
       "90.0     False\n",
       "95.0      True\n",
       "100.0     True\n",
       "Name: chas, dtype: bool"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Exercise 10e\n",
    "print('Zones bound:',np.sum(grouped['chas'].mean()>0))\n",
    "print('Zones not bound:',np.sum(grouped['chas'].mean()==0))\n",
    "grouped['chas'].mean()==0\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[19.75 19.9  33.   24.   35.2  21.95 24.45 23.1  22.9  22.75 30.9  26.4\n",
      " 19.4  32.   33.45 23.2  23.9  26.6  24.8  30.8  24.5  33.2  23.9  35.4\n",
      " 41.7  31.6 ]\n",
      "Suburb with lowest median value: 35.0 (i.e., # 12 )\n"
     ]
    }
   ],
   "source": [
    "#Exercise 10g\n",
    "print(grouped['medv'].median().values)\n",
    "min_id = grouped['medv'].median().values.argmin()\n",
    "group_val = list(grouped.groups.keys())[min_id]\n",
    "print('Suburb with lowest median value:',group_val,'(i.e., #',min_id,')')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>crim</th>\n",
       "      <th>zn</th>\n",
       "      <th>indus</th>\n",
       "      <th>chas</th>\n",
       "      <th>nox</th>\n",
       "      <th>rm</th>\n",
       "      <th>age</th>\n",
       "      <th>dis</th>\n",
       "      <th>rad</th>\n",
       "      <th>tax</th>\n",
       "      <th>ptratio</th>\n",
       "      <th>black</th>\n",
       "      <th>lstat</th>\n",
       "      <th>medv</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>332</td>\n",
       "      <td>0.05023</td>\n",
       "      <td>35.0</td>\n",
       "      <td>6.06</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4379</td>\n",
       "      <td>5.706</td>\n",
       "      <td>28.4</td>\n",
       "      <td>6.6407</td>\n",
       "      <td>1</td>\n",
       "      <td>304</td>\n",
       "      <td>16.9</td>\n",
       "      <td>394.02</td>\n",
       "      <td>12.43</td>\n",
       "      <td>17.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>333</td>\n",
       "      <td>0.03466</td>\n",
       "      <td>35.0</td>\n",
       "      <td>6.06</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4379</td>\n",
       "      <td>6.031</td>\n",
       "      <td>23.3</td>\n",
       "      <td>6.6407</td>\n",
       "      <td>1</td>\n",
       "      <td>304</td>\n",
       "      <td>16.9</td>\n",
       "      <td>362.25</td>\n",
       "      <td>7.83</td>\n",
       "      <td>19.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>342</td>\n",
       "      <td>0.01301</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1.52</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4420</td>\n",
       "      <td>7.241</td>\n",
       "      <td>49.3</td>\n",
       "      <td>7.0379</td>\n",
       "      <td>1</td>\n",
       "      <td>284</td>\n",
       "      <td>15.5</td>\n",
       "      <td>394.74</td>\n",
       "      <td>5.49</td>\n",
       "      <td>32.7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Unnamed: 0     crim    zn  indus  chas     nox     rm   age     dis  rad  \\\n",
       "331         332  0.05023  35.0   6.06     0  0.4379  5.706  28.4  6.6407    1   \n",
       "332         333  0.03466  35.0   6.06     0  0.4379  6.031  23.3  6.6407    1   \n",
       "341         342  0.01301  35.0   1.52     0  0.4420  7.241  49.3  7.0379    1   \n",
       "\n",
       "     tax  ptratio   black  lstat  medv  \n",
       "331  304     16.9  394.02  12.43  17.1  \n",
       "332  304     16.9  362.25   7.83  19.4  \n",
       "341  284     15.5  394.74   5.49  32.7  "
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[(df['zn'] == group_val)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Nr. of suburbs <7 rooms: 21\n",
      "Nr. of suburbs >7 rooms: 5\n",
      "Nr. of suburbs >8 rooms: 0\n"
     ]
    }
   ],
   "source": [
    "print('Nr. of suburbs <7 rooms:',np.sum(grouped['rm'].mean() < 7))\n",
    "print('Nr. of suburbs >7 rooms:',np.sum(grouped['rm'].mean() > 7))\n",
    "print('Nr. of suburbs >8 rooms:',np.sum(grouped['rm'].mean() > 8))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Implementing KNN algorhithm (unfinished)\n",
    "\n",
    "based on: https://machinelearningmastery.com/tutorial-to-implement-k-nearest-neighbors-in-python-from-scratch/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 247,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "      <th>species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   sepal_length  sepal_width  petal_length  petal_width species\n",
       "0           5.1          3.5           1.4          0.2  setosa\n",
       "1           4.9          3.0           1.4          0.2  setosa\n",
       "2           4.7          3.2           1.3          0.2  setosa\n",
       "3           4.6          3.1           1.5          0.2  setosa\n",
       "4           5.0          3.6           1.4          0.2  setosa"
      ]
     },
     "execution_count": 247,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import math\n",
    "import operator\n",
    "import random\n",
    "\n",
    "fname = 'Iris.csv'\n",
    "df = pd.read_csv(fname)\n",
    "df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 284,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5385164807134502"
      ]
     },
     "execution_count": 284,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def euclDist(x1,x2,col):\n",
    "    #Calculating Euclidean distance between 2 entries, for col columns\n",
    "    columns = df.columns[col]\n",
    "    dist = 0\n",
    "    for c in df[columns]:\n",
    "        dist += pow( (x1[c]-x2[c]),2 )\n",
    "    return math.sqrt(dist)\n",
    "\n",
    "euclDist(df.iloc[0],df.iloc[1],range(4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[(2, 0.264575131106459), (3, 0.33166247903553986), (4, 0.4582575694955844), (1, 0.5099019513592788), (0, 0.5196152422706632)]\n",
      "[2, 3, 4]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[2, 3, 4]"
      ]
     },
     "execution_count": 222,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def getNeighbours(trainingSet,testInstance,k):\n",
    "    #Get index of k nearest neighbours for 1 testInstance\n",
    "    distances = []\n",
    "    length = len(trainingSet.columns)-1\n",
    "    for index, row in trainingSet.iterrows():\n",
    "        dist = euclDist(row,testInstance,range(length))\n",
    "        distances.append((index,dist))\n",
    "    distances.sort(key=operator.itemgetter(1))\n",
    "    print(distances)\n",
    "    neighbours = []\n",
    "    for x in distances[:k]:\n",
    "        neighbours.append(x[0])\n",
    "    print(neighbours)    \n",
    "    return neighbours\n",
    "\n",
    "neigh = getNeighbours(df.iloc[:5],df.iloc[6],3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'setosa': 3}\n",
      "['setosa']\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'setosa'"
      ]
     },
     "execution_count": 234,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def getResponse(df,neighbours):\n",
    "    classVotes = {}\n",
    "    for x in neighbours:\n",
    "        response = df.iloc[x]['species']\n",
    "        #print(response)\n",
    "        if response in classVotes:\n",
    "            classVotes[response] += 1\n",
    "        else:\n",
    "            classVotes[response] = 1\n",
    "    sortedVotes = sorted(classVotes, key=operator.itemgetter(1), reverse=True)\n",
    "    print(classVotes)\n",
    "    print(sortedVotes)\n",
    "    return sortedVotes[0]\n",
    "\n",
    "getResponse(df,neigh)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 235,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getAccuracy(testSet, predictions):\n",
    "    correct = 0\n",
    "    for x in range(len(testSet)):\n",
    "        if testSet[x]['species'] is predictions[x]['species']:\n",
    "            correct += 1\n",
    "    return (correct/float(len(testSet))) * 100.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 288,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training data= [126, 23, 84, 134, 99, 10, 52, 58, 102, 29, 114, 148, 124, 16, 101, 77, 105, 48, 78, 30, 136, 24, 66, 11, 74, 85, 95, 57, 89, 0, 69, 81, 43, 5, 123, 6, 1, 65, 12, 83, 137, 80, 82, 100, 133, 68, 14, 116, 104, 132, 88, 118, 147, 22, 131, 44, 79, 127, 86, 91, 111, 90, 115, 26, 33, 25, 13, 110, 135, 3, 140, 49, 94, 119, 67, 47, 56, 144, 145, 130, 141, 108, 129, 39, 28, 19, 7, 121, 27, 71, 109, 70, 35, 87, 4, 143, 17, 117, 40, 45, 37, 62, 98, 50, 61, 64, 93, 103, 138, 15, 149, 54]\n",
      "Test data= [41, 139, 142, 42, 113, 72, 97, 31, 75, 8, 96, 34, 36, 128, 112, 53, 73, 55, 20, 9, 59, 106, 122, 146, 2, 92, 120, 32, 38, 18, 21, 107, 46, 60, 51, 63, 76, 125]\n",
      "4.2\n",
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   ],
   "source": [
    "#NOTE: not working yet\n",
    "#NOTE: implementation needs to be finalized\n",
    "\n",
    "def main():\n",
    "    #prepare data\n",
    "    trainingSet = []\n",
    "    testSet = []\n",
    "    split = 0.75\n",
    "    fname = 'Iris.csv'\n",
    "    df = pd.read_csv(fname)\n",
    "    nData = len(df.index)\n",
    "    rnd = random.sample(range(nData),nData)\n",
    "    trainingIndex = rnd[:int(split*nData)]\n",
    "    testIndex = rnd[int(split*nData):]\n",
    "    print('Training data=',trainingIndex)\n",
    "    print('Test data=',testIndex)\n",
    "    predictions = []\n",
    "    \n",
    "    for x1 in testIndex:\n",
    "        for x2 in trainingIndex:\n",
    "            dist = euclDist(df.iloc[x1],df.iloc[x2],range(4))\n",
    "            print(dist)\n",
    "    \n",
    "main()"
   ]
  }
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