Skip to content

Instantly share code, notes, and snippets.

@HarryRybacki-zz
Created December 11, 2014 21:05
Show Gist options
  • Save HarryRybacki-zz/385deb4365ef769d6702 to your computer and use it in GitHub Desktop.
Save HarryRybacki-zz/385deb4365ef769d6702 to your computer and use it in GitHub Desktop.
{
"metadata": {
"name": "",
"signature": "sha256:2cf14131fe3c6fc1d2b6d671a7d76449bc1bb98ff9048243dc7a70e77af556cd"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"%matplotlib inline\n",
"\n",
"\"\"\"CSC495 MapReduce Work Notebook -- Harry Rybacki\n",
"\n",
"I have abided by the UNCG Academic Honor Code. 3Sep14\n",
"\"\"\"\n",
"\n",
"# Import necessary statistical and plotting libraries\n",
"import os\n",
"import pprint\n",
"\n",
"import pandas as pd\n",
"import numpy as np\n",
"import matplotlib.pyplot as pyplt\n",
"import prettyplotlib as ppl\n",
"import pprint"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 115
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"5.1 Split Classifications"
]
},
{
"cell_type": "raw",
"metadata": {},
"source": [
"We will be using the UCI Covertype data set for this example. \n",
"\n",
"With this data set we have 581012 observations each of which has 55 features. There are a total of 7 classifications (types of cover). The last column, feature 55, represents the class. \n",
"\n",
"Furthermore, features 11-54 are binary representations of the soil type and wilderness area. They are incredibly sparse and will be removed from the data set so we can focus on the more interesting and dynamic features it contains. The resulting dataset contains 581012 observations each of which has 10 features as well as the classification used in section 5.1."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Classification Split\n",
"\n",
"classes = {\n",
" 1: 'sprucefir',\n",
" 2: 'lodgepolepine',\n",
" 3: 'ponderosapine',\n",
" 4: 'cottonwoodwillow',\n",
" 5: 'aspen',\n",
" 6: 'douglasfir',\n",
" 7: 'oak'\n",
"}\n",
"def split_classifications(filename):\n",
" \"\"\" Reads in data set and outputs observations \n",
" to respective classification types\"\"\"\n",
" # Open the file in read mode\n",
" reader = csv.reader(open(filename, 'rU'), dialect=csv.excel_tab)\n",
"\n",
" # Iterate over every line in the file\n",
" for line in reader:\n",
" # Strip off white space\n",
" formatted_line = line[0].strip()\n",
" # Replace commas with spaces \n",
" formatted_line = formatted_line.replace(\",\", \" \")\n",
" # Tokenize the words\n",
" words = formatted_line.split()\n",
" # Extrapolate the classification\n",
" classification = words[-1]\n",
" # Determine the filename for output\n",
" output_file = 'svm/classifications/%s.txt' % classes[int(classification)]\n",
" # Append line, minus the class and extra data, to appropriate file\n",
" with open(output_file, 'a') as outfile:\n",
" outfile.write(' '.join(words[:-1]) + '\\n')"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 154
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"split_classifications('./svm/covtypetrim.csv')"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 155
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"5.2 Expand Classification Data Sets"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now that we have reduced the data set into its interesting futures and segregated observations based on their classification we will expand the number of observations for three random classifications. To decide which three classes to go with I wrote down the numbers 1-7, corresponding to the class types, and drew 1, 3, and 4 at random from a hat. Assuming these data follow a normal distribution and are identically independently distributed we can use the mean and variance of features to create more observations. \n",
"\n",
"We want each of the classification files to have the same number of observations. This way, after we have merged the classifications and run them through our LSVM there will not be any worry of any bias in the algorithm because on class is too prevalant. I have arbitrally chosen to expand each data set to a total of 250,000 observations.\n",
"\n",
"The class files are converted to numpy arrays and exapnded using the code directly below."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"sprucefir = np.genfromtxt('svm/classifications/sprucefir.txt', delimiter=' ', dtype='int')\n",
"print sprucefir\n",
"print sprucefir.shape\n",
"\n",
"ponderosapine = np.genfromtxt('svm/classifications/ponderosapine.txt', delimiter=' ', dtype='int')\n",
"print ponderosapine\n",
"print ponderosapine.shape\n",
"\n",
"cottonwoodwillow = np.genfromtxt('svm/classifications/cottonwoodwillow.txt', delimiter=' ', dtype='int')\n",
"print cottonwoodwillow\n",
"print cottonwoodwillow.shape"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"[[2699 347 3 ..., 234 159 6853]\n",
" [2739 323 25 ..., 205 192 6219]\n",
" [2696 72 2 ..., 234 149 6071]\n",
" ..., \n",
" [2812 67 16 ..., 206 99 2047]\n",
" [2832 45 17 ..., 200 106 2058]\n",
" [2827 43 18 ..., 199 107 2040]]\n",
"(211840, 10)\n",
"[[2553 235 17 ..., 253 199 1410]\n",
" [2011 344 17 ..., 211 164 300]\n",
" [2022 24 13 ..., 212 134 421]\n",
" ..., \n",
" [2386 159 17 ..., 241 130 854]\n",
" [2384 170 15 ..., 245 143 864]\n",
" [2383 165 13 ..., 244 141 875]]"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"(35754, 10)\n",
"[[2000 318 7 ..., 234 172 268]\n",
" [2003 355 6 ..., 230 157 283]\n",
" [2004 47 8 ..., 223 135 300]\n",
" ..., \n",
" [2316 131 16 ..., 230 111 685]\n",
" [2378 66 13 ..., 213 110 858]\n",
" [2387 72 15 ..., 210 102 865]]\n",
"(2747, 10)\n"
]
}
],
"prompt_number": 159
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def extend_classification_dataset(original_data, num_to_increase):\n",
" \"\"\" Assuming the data set is normally distributed and idenitically \n",
" independently distributed, this extends the number of observations \n",
" by rotating the array 90 degrees and adding new features based on \n",
" previous features mean and variance.\n",
" \n",
" :param original_data: numpy array of the original data set\n",
" :param num_to_increase: number of observations to increase\n",
" :returns: numpy array of extended data set\n",
" \"\"\"\n",
" # Rotate the data set 90 degrees\n",
" rotated_data_set = np.rot90(original_data)\n",
" \n",
" print 'Original data set'\n",
" print original_data\n",
" print 'Rotated data set'\n",
" print rotated_data_set\n",
" \n",
" # Placeholder array to be merged later with original array\n",
" placeholder_array = []\n",
"\n",
" # Generate new observations\n",
" for i in range(len(rotated_data_set)):\n",
" # Calculate mean\n",
" mu = rotated_data_set[i].mean()\n",
" # Calcualte sigma\n",
" sigma = np.std(rotated_data_set[i])\n",
" # Generate random feature value based on mean and variance of features in original data set\n",
" new_values = np.random.normal(loc=mu, scale=sigma, size=num_to_increase)\n",
" # Add new values to the placeholder array\n",
" placeholder_array.append(new_values)\n",
" \n",
" # Append new values onto the rotated array and re-orrient back to its orignal orrientation\n",
" return np.rot90(np.rot90(np.rot90(np.hstack((rotated_data_set, placeholder_array)))))\n"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 201
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Extend each of the classification data sets to 250000 observations\n",
"sprucefirextended = extend_classification_dataset(sprucefir, \n",
" 250000-len(sprucefir))\n",
"ponderosapineextended = extend_classification_dataset(ponderosapine, \n",
" 250000-len(ponderosapine))\n",
"cottonwoodwillowextended = extend_classification_dataset(cottonwoodwillow, \n",
" 250000-len(cottonwoodwillow))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Original data set\n",
"[[2699 347 3 ..., 234 159 6853]\n",
" [2739 323 25 ..., 205 192 6219]\n",
" [2696 72 2 ..., 234 149 6071]\n",
" ..., \n",
" [2812 67 16 ..., 206 99 2047]\n",
" [2832 45 17 ..., 200 106 2058]\n",
" [2827 43 18 ..., 199 107 2040]]\n",
"Rotated data set\n",
"[[6853 6219 6071 ..., 2047 2058 2040]\n",
" [ 159 192 149 ..., 99 106 107]\n",
" [ 234 205 234 ..., 206 200 199]\n",
" ..., \n",
" [ 3 25 2 ..., 16 17 18]\n",
" [ 347 323 72 ..., 67 45 43]\n",
" [2699 2739 2696 ..., 2812 2832 2827]]\n",
"Original data set"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"[[2553 235 17 ..., 253 199 1410]\n",
" [2011 344 17 ..., 211 164 300]\n",
" [2022 24 13 ..., 212 134 421]\n",
" ..., \n",
" [2386 159 17 ..., 241 130 854]\n",
" [2384 170 15 ..., 245 143 864]\n",
" [2383 165 13 ..., 244 141 875]]\n",
"Rotated data set\n",
"[[1410 300 421 ..., 854 864 875]\n",
" [ 199 164 134 ..., 130 143 141]\n",
" [ 253 211 212 ..., 241 245 244]\n",
" ..., \n",
" [ 17 17 13 ..., 17 15 13]\n",
" [ 235 344 24 ..., 159 170 165]\n",
" [2553 2011 2022 ..., 2386 2384 2383]]\n",
"Original data set"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"\n",
"[[2000 318 7 ..., 234 172 268]\n",
" [2003 355 6 ..., 230 157 283]\n",
" [2004 47 8 ..., 223 135 300]\n",
" ..., \n",
" [2316 131 16 ..., 230 111 685]\n",
" [2378 66 13 ..., 213 110 858]\n",
" [2387 72 15 ..., 210 102 865]]\n",
"Rotated data set\n",
"[[ 268 283 300 ..., 685 858 865]\n",
" [ 172 157 135 ..., 111 110 102]\n",
" [ 234 230 223 ..., 230 213 210]\n",
" ..., \n",
" [ 7 6 8 ..., 16 13 15]\n",
" [ 318 355 47 ..., 131 66 72]\n",
" [2000 2003 2004 ..., 2316 2378 2387]]\n"
]
}
],
"prompt_number": 202
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"print 'Original sprucefir dimensions: ' + str(sprucefir.shape)\n",
"print 'Extended sprucefir dimensions: ' + str(sprucefirextended.shape)\n",
"print 'Original ponderosapine dimensions: ' + str(ponderosapine.shape)\n",
"print 'Extended ponderosapine dimensions: ' + str(ponderosapineextended.shape)\n",
"print 'Original cottonwoodwillow dimensions: ' + str(cottonwoodwillow.shape)\n",
"print 'Extended cottonwoodwillow dimensions: ' + str(cottonwoodwillowextended.shape)\n",
"print cottonwoodwillowextended"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Original sprucefir dimensions: (211840, 10)\n",
"Extended sprucefir dimensions: (250000, 10)\n",
"Original ponderosapine dimensions: (35754, 10)\n",
"Extended ponderosapine dimensions: (250000, 10)\n",
"Original cottonwoodwillow dimensions: (2747, 10)\n",
"Extended cottonwoodwillow dimensions: (250000, 10)\n",
"[[ 2000. 318. 7. ..., 234. 172.\n",
" 268. ]\n",
" [ 2003. 355. 6. ..., 230. 157.\n",
" 283. ]\n",
" [ 2004. 47. 8. ..., 223. 135.\n",
" 300. ]\n",
" ..., \n",
" [ 2126.15064317 138.5804113 21.01816044 ..., 197.58721208\n",
" 116.94794065 205.87688461]\n",
" [ 2103.53032407 276.20756499 21.20811935 ..., 229.82971123\n",
" 94.8337044 469.20030377]\n",
" [ 2237.96670928 115.16555195 25.03211878 ..., 232.43848924\n",
" 168.42728308 921.73736477]]\n"
]
}
],
"prompt_number": 203
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Write each of the extended classification data sets to disk\n",
"np.savetxt('./svm/classifications/sprucefirextended.txt', sprucefirextended, delimiter=' ')\n",
"np.savetxt('./svm/classifications/ponderosapineextended.txt', ponderosapineextended, delimiter=' ')\n",
"np.savetxt('./svm/classifications/cottonwoodwillowextended.txt', cottonwoodwillowextended, delimiter=' ')"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 205
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"5.3 Merge Features of Two/Three Classifications"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now that we have extended each of the three classifications to 250,000 observations we will combine two of them in preperation being run through the LSVM. Again, I have randomly chosen the first and last data sets, sprucefireextended and cottonwoodwillowextended respectively, for the merge."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def merge_classes(class_file_one, class_file_two, output_filename):\n",
" \"\"\"Merges two classification files into a predtermined output file\"\"\"\n",
" # Open output file\n",
" with open(output_filename, 'a') as outfile:\n",
" # Open first classification file\n",
" with open(class_file_one, 'r') as fp1:\n",
" # Append observations into output file\n",
" for line in fp1:\n",
" outfile.write(line)\n",
" # Open second classification file\n",
" with open(class_file_two, 'r') as fp2:\n",
" # Append observations into output file\n",
" for line in fp2:\n",
" outfile.write(line)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 46
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Merge sprucefirextended and cottonwoodwillowextended into sfcwwmerge\n",
"merge_classes('./svm/classifications/sprucefirextended.txt', \n",
" './svm/classifications/cottonwoodwillowextended.txt',\n",
" './svm/classifications/sfcwwmerge.txt')\n",
"\n",
"# Import and verify merged data set has 500,000 observations\n",
"print np.genfromtxt('./svm/classifications/sfcwwmerge.txt', delimiter=' ').shape == (500000, 10)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"True\n"
]
}
],
"prompt_number": 210
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"5.4 Split Features (of merged data) "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Next we will take the merged data set and break it into a series of data sets based by their feature."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def split_features(filename, datasetname):\n",
" \"\"\"Splits a data set into a series of files based on its features\"\"\"\n",
" # Read the data set\n",
" with open(filename, 'r') as fp:\n",
" # Iterate over each line within the file\n",
" for line in fp:\n",
" # Strip off white space\n",
" formatted_line = line.strip()\n",
" # Tokenize the words\n",
" words = formatted_line.split()\n",
" \n",
" # Iterate over features (excluding last two as they are classification and misc.)\n",
" for i in range(len(words)):\n",
" # Determine output filename\n",
" output_file = 'svm/features/%s_feature_%s.txt' % (datasetname, str(i+1))\n",
" # Append line to appropriate file\n",
" with open(output_file, 'a') as outfile:a\n",
" outfile.write(words[i]+' ')\n"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 218
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"split_features('./svm/classifications/sfcwwmerge.txt', 'sfcwwmerge')"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 219
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"5.5 Plot Several sets of features paired in two and threes"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig_one = pyplt.figure(figsize=(6,6))\n",
"fig_one_axes = fig_one.add_axes([0.1, 0.1, 0.8, 0.8],\n",
" title='Scatter plot of feature 1 vs feature 3',\n",
" xlabel='Feature 1 - Elevation',\n",
" ylabel='Feature 3 - Slope in Degrees')\n",
"\n",
"fig_one_axes.scatter([np.genfromtxt('./svm/features/sfcwwmerge_feature_1.txt')],\n",
" [np.genfromtxt('./svm/features/sfcwwmerge_feature_3.txt')],\n",
" s=10)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 254,
"text": [
"<matplotlib.collections.PathCollection at 0x169446bd0>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAZoAAAGUCAYAAAAMDOQTAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nSUVORK5CYII=\n",
"text": [
"<matplotlib.figure.Figure at 0x14e93ff90>"
]
}
],
"prompt_number": 254
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig_one = pyplt.figure(figsize=(6,6))\n",
"fig_one_axes = fig_one.add_axes([0.1, 0.1, 0.8, 0.8],\n",
" title='Scatter plot of feature 1 vs feature 6',\n",
" xlabel='Feature 1 - Elevation',\n",
" ylabel='Feature 6 - Horiz. Dist. to Roads')\n",
"\n",
"fig_one_axes.scatter([np.genfromtxt('./svm/features/sfcwwmerge_feature_1.txt')],\n",
" [np.genfromtxt('./svm/features/sfcwwmerge_feature_6.txt')],\n",
" s=10)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 255,
"text": [
"<matplotlib.collections.PathCollection at 0x1694eaf90>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAacAAAGUCAYAAACRAe2bAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
"text": [
"<matplotlib.figure.Figure at 0x14e93f9d0>"
]
}
],
"prompt_number": 255
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig_one = pyplt.figure(figsize=(6,6))\n",
"fig_one_axes = fig_one.add_axes([0.1, 0.1, 0.8, 0.8],\n",
" title='Scatter plot of feature 1 vs feature 10',\n",
" xlabel='Feature 1 - Elevation',\n",
" ylabel='Feature 10 - Horiz. Dist. to Water')\n",
"\n",
"fig_one_axes.scatter([np.genfromtxt('./svm/features/sfcwwmerge_feature_1.txt')],\n",
" [np.genfromtxt('./svm/features/sfcwwmerge_feature_10.txt')],\n",
" s=10)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 256,
"text": [
"<matplotlib.collections.PathCollection at 0x16961e310>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAacAAAGUCAYAAACRAe2bAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzsvXmcXFWZ//8+tXR1NyRhX90dhyWEsMRdvzLKsG/GaFAH\nHQfH8YcCAUG2MAkaIIFk0oEkCKPjNjOMDuKMjui44Y4iaCAQo0NmGMOiCaKdwNhFuvv5/XHO0/e5\np251upNKdadzPq/XfVXVXc4991bV+dzneT7neZyIkJCQkJCQMJ5QGusOJCQkJCQkxEjklJCQkJAw\n7pDIKSEhISFh3CGRU0JCQkLCuEMip4SEhISEcYdETgkJCQkJ4w6JnBJ2OjjnBp1zL2nTuT7pnHva\nOffjJtsXOOc2OueeaEd/dnY4517rnPsv59xm59wZY92fhPGLRE4TFM651znnfuSc+4Nz7nfOuR84\n52ZsZ5t/6Zz7frTuU865j25fb3cMivo7yuNfDxwPHCQiryrY/gLgYuBQETlo23sKzrnjnHPrt6eN\nbTjnB51z9znn+pxzn2zTaT8C3CQik0TkS9vTkHPuUefcG1vUr5Gc7wjn3H+Gh5HBgu17Oee+6Jx7\nJvTt7e3q20REIqcJCOfcZOA/gGXAnsDBwDVAfSz7VQTnXHms+zAMXgg8KiJ9Tba/APidiPyujX0q\nhHOusg2HPQ58FPiHFndnOLwAWNOitgRw23rwNvz2ngP+BTi3yfYVQB+wH/BO4Bbn3OHb2r9dHiKS\nlgm2ADOA329ln7/GDxKbgIeBo8P6y4FHzPqzwvrDgD8C/cBm4PehjefwpLcZ+Pew70HAF4ANwH8D\n55vzzgfuAD4L9AJ/VdC3TwEfA74e+vEd4AVm+yDwkvB+CvCZcK5HgavwA1bc36eb3IeDgC8BvwP+\nC3hvWH9udPy86Ljjgf8DBsL2fwjrXwX8KNyfVcAbzDHvMfd8HfC+sH63cC5taxNwYLgPHzXHHwes\nN58fBT4MPBiOLw13/mF+Cx8FPjnM9hrwB2CqWbdvuP59wvIf4Zy/A74HuIJ21oVr/L9wjdXw/X0C\neAJ4LPSlFPZ/KfBt4ClgI/CPwJSw7bOmrc3AJfH9Mffojc1+e8Odf5j78SfAYLRuN/z/4E/Muk8D\n14/1eLCzLmPegbTsgC8VJoU/9KeAk4A9o+1vDX/EY8PnlxIGf2AWcEB4/zbgGWD/8PndwPejtj4J\nfMR8LgH3A3OBCvDiMCidELbPxxPaGeFzZ0H/PxUGr9cBHUCPPS95cvoM8MUwOLwQ+CWB8Ir6W3Cu\n7wHLw3mm40nuz0ZyPPAG8mRxcLjvJ4XPx4fPe4fPpwAvDu//H/As2UNBrq0m9/Y4GsnpZ+G8tWHO\nv89W7sEChiGnsM8ngAXm8weAu8L764FbgHJYXjtMO/9DIIvw+Yvh2C484f2EjLRfCrwJT2L7AN8F\nlg7TVu7+xPsU/faGO/8w11BETkcDz0brLga+NBZjwERYkltvAkJENuMHdgH+HtjgnPt359x+YZf3\nAotE5P6w/zoR+XV4f4eI/Ca8/zzemnhlOK6ZC8Wufzl+MFwgIv0i8j/Ax4GzzT4/khBvkOYus/8Q\nkR+IyHN4a+jVzrmDcyf1bpnZwBUi8qyI/C+wBDhnK/3V458PvAa4TESeE5EHQl/fNZLjC7b/BX7A\n/lq4tm8C9wGnhs93hfuBiHwPbxm+fivnGq4Pgo/fPC4i9WHOf8pWrmMkCTb/mfx3+I6wDvyAfyDw\nIhEZEJEfjqA9nHP7AycDF4nIH0VkI/5B5OzQ/3Ui8i0R2SIiTwFL8SS+PRj67eGtpqbnHyV2xz9Q\nWWzGPygmbAO2xU+dsBNARNbi3Ug45w7Bu0R68IPK8/DWTAOcc+8CLgJeFFbtDuw9ilO/EDjIOfd7\ns66Mt1AUj22t+3YfEXnWOfc03gX3uNlvH/xT9f+adb/GWxAjwUF4d9+z0fHbKhx5IfBW59zpZl0F\n75rCOXcyMA94Gd7C7Ma75LYHVkQx7PmHwUjiNt8Bup1zr8Bbl9PxVgfAjXir5OvOOYDbRGTRCNp8\nIf77ezIcB/6+/BqGyGsZ/kFrUtj29AjaHQ72tzfs+UeJZ4DJ0bopeIJK2AYkctoFICK/dM59Gnhf\nWLUe75rIwTn3QuA24I3APSIizrmfkw1eRU/Y8bpfA/8jIn/arDtN2sl1BXi+6dfuwF74uIDFU8AW\nPJH+Iqx7AdkAtLXzPAHs5ZzbXUSeKTh+tPg18FkReV+8wTlXw8fh/gIfmxtwzn2R4e/ts3gCUxxQ\nsI89run5t4KtWk6hv58H3o4npy8rqYd7dwlwiXNuKvBt59xPRWRrpLgeH6fZW0Qa1G/Adfi40hEi\n8gfn3FnAzcP0O3e/gmW9b3wpozj/aPAroOKc+xMReSSsmw48tJ3t7rJIbr0JCOfcIc65i9UNFtxX\nbwfuCbt8HD+QHOM8/iTIonfD/3mfAkrOufcAR5imfws8zzlXjdbZOUf3Apudcx92znU558pBgqvW\nyEjVVaeEOTEd+CD1PSJirSZEZAD4PHCtc273QK4X4a3EZv21x6/Hiweud87VnHNH4oPk/1i0/wjw\nj8DpzrkTwnV3Bon4wfiYVgf+3g4GK+oEc+xvgb2D0lKxKtyHPZ1zBwBztuP8DdB98A+p5XAPhlOw\nqWvPuvRwzp0afkMO79oaCMuwEJEn8a7Nv3POTXLOlZxzL3XO/b+wy+54wtkUruHSqInf4uNSil8B\nnc65U8J3Phcfi9vW8zcg3K+O8L4WHjoIRH0n8BHnXLdz7nXA6XjxRcI2IJHTxMRmfJzoJ865Z/Ck\n9CDwIfBxJeBa/ACzCf+n2lNE1uBjNvcAv8ET0w9Mu9/CK/h+45zbENZ9AjjcOfd759yd4Qn0NOAo\nvFJvI94a00F3JJaThL7Nw6u/jsZbHHa74nz8APbfwPeBf8ILCZr1N8bb8ZbXE+E+/K154h9pX/0b\nkceAM4Er8dbFr/H33IU44AV4Mn06nPffzbFrgduB/3Z+0u8B+IHtAbzw4Wt4GXPT/gxz/mb/86vx\narfL8Pf3j/j4XrP278W7rw4Evmo2vQz4Bv539yNghYh8t1k7Ed6FH+zX4O/Lv5JZiNcAx+CVdV/G\nW572+q8H5obf3sUi0guch3/4eiz01bo9i77P4c6fg3PuRfj79VBo549kFjvh3F34e/+PwPtF5Bck\nbBOcyNgVG3TOXYH/UwwCq/Exkt2AzxHmmABvE5E/mP3/Cv9UdoGIfD2sPxav8OrEB4QvbOuFJLQU\nYULoYyJy9Vj3JSEhYWwwZpZTeAr5a+AYEZmGD5qfjZ9n840Qs/hW+EyYzDYbOBwvj17psijmLcC5\nIvIy4GXOuZPaeCkJrcc2T6xMSEiYGBhLt94mfDC7O8xu78a7Vs7AT14jvJ4V3p8J3B5kpY/iJ4q+\n0jl3IDApuBzAz3vRYxJ2TozEnZaQkDCBMWZqPRF52jm3BO8X/yPwnyLyDefc/iLy27Dbb4H9w/uD\nAJt88zG8ZHgLeXXV44xcSpwwDiEi7xnrPiQkJIwtxtKt91K8+uhFeOLZ3Tlng96ID4ilJ+iEhISE\nXQxjOc9pBn629u8AnHN3Aq/GK6sOEJHfBJedqqwex8x9wU8kfSysf160Pic5Du0nkktISEjYwRCR\nlsSMxzLmtBZ4VZgL4/B5wNbgJaPvDvu8G/i38P5LwNnOuQ7n3Ivx8tV7Q6qdTc65V4Z2zjHH5DBW\nOaLG6zJv3rwx78N4W9I9Sfcl3ZNtX1qJsYw5PeCc+ww+99cgPoHlbfg0JZ93zp1LkJKH/deEGepr\n8Jmiz5PsbpyHl5J3YXKLJSQkJCTsnBjT9EUicgNwQ7T6abwVVbT/dfiUJvH6+4FpLe9gQkJCQsKY\nIGWI2IVx3HHHjXUXxh3SPSlGui+NSPdkx2JMM0S0E8452VWuNSEhIWEs4JxDJoAgIiEhISEhoRCJ\nnBISEhISxh0SOSUkJCQkjDskckpISEhIGHdI5JSQkJCQMO6QyCkhISEhYdwhkVNCQkJCwrhDIqeE\nhISEhHGHRE4JCQkJCeMOiZwSEhISEsYdEjklJCQkJIw7JHJKSEhISBh3SOSUkJAwLlCv16nX62Pd\njYRxgkROCQkJY46VK29j0qS9mDRpL1auvG2su5MwDpBKZiQkJIwp6vU6kybtxZYtqwGoVqexefPT\n1Gq1Me5ZwmiRSmYkJCQkJExoJHJKSEgYU9RqNXp6llKtTqNanUZPz9JkNSUkt15CQjuxadMm6vX6\n0OBbq9V2mYFYxQ7Nrndr2xPGP5JbLyFhJ8TZZ7+LKVP2Yb/9DmLKlH2YMmVvuromc8MNi4dIa6Ji\nJIKHXYmoE7aOZDklJLQBGzduZL/9Dg6f9HdYAvrD+0HAsWDBdVx11eVt79+ORBI87DpIllNCwk6E\nlStvY//9nxc+rQVOCu/7AYf/G5YBYe7cKzj44JeMQS8TEsYXEjklJOxA1Ot15sy5CJFvhzWbgf/E\n//Uc3ooawFpTTzzxOKef/pb2d3YHIQkeErYFya2XkLADsWnTJvbaa38GBn4MvAJvLQ0CVTwpubAM\noq49T1yDbNjwW/bdd9+x6fgOQBI8THwkt15CwjiGpuFZufI29t77AAYGBoCX44kHMouJ8KpWVJmM\nqGC//Q6eUNkSkuAhYTRIllNCQguxcuVtwY0nDAwMIvITPDFdAtyIJ6IBPBGpFdWBJyklL3X1AVTo\n69s0YQf1ZE1NLCTLKSFhHELjS1u2rKa//x5EBsMWByzFk44lIf37qUtPY0/T8ORVAoSNGze26xLa\nipRPL2E4JMspIaFFyEum68BReJIZIJOND+IJqIInqS3haHXvEY6ZB1wH9PHe9/41y5cvm1DWRZKX\nT0wkyykhYRwir0qbwezZs6lUwLkSzg2SxZZszKlMFmuCjLyuAw4FKnz84/9AZ+fuLFu2or0X1CKk\nUhgJ24JETgkJLcR5572PzZufZvPmp/mXf/kMzzzze/74xz/w61+vQ4UOeXWefi7jFXxqUfUBD+KJ\n6iqgwpw5c7jpprEnqMcee4zHHntsRPs2c90leXnC1pDcegkJbcC11y5k7twr0TiSJya1pPQZcR5w\nTVj3XFhXJSMvgEH6+nrHZCB/7LHHOProV/HUU08AFQ4++PmsW7dm2Fx5W3PdJUHExEJy6yUkjHPU\n6/WhfHmbNm1i7tyrycQQVj6umAcsICMuhbr5HgrLIJs2bWrHJQy54+r1Os973kt5/vNfEogJ4GAe\nf3w9nZ2TtkvM0G55eXIx7jxI5JSQ0GKsXHkb3d1TmDJlbzo7JzNlyt5kMSZnFju/6e3Az8J+/TT+\nNethgXe+8y93aP/r9TrXXruI3Xffk66uPejs7OTxx//X9L8EPIHmBfzAB84vHPDHm+suqQN3LiS3\nXkJCC1Gv1+nu3pPBQYdX6Wli132B3+DddD8EXo0f5NVi0nlNOsdJ50GpYMImix2gt/d3TJ48ueX9\nX7nyNj7wgQ+QWXcDeOutQqPScC+gF9jChg1PNM1mMR5cd0kd2B4kt15CwjhFvV5ncLAf+BGZe64E\n/JbMjbc7WbJXtZgGyYisZI7VuVFrw+LJYke4pur1Oh/4wAfDJ6sotJ+t2vA3KKnOm/eRpu7GlBki\nYVuQyCkhoYWo1WqUy2Xgn8lUeUJeiTfdbDsU544K2yoFLVqCuB11Ax5//Ckt7/v06a8gs+AsOel7\nteIgrzQsccsty5kyZR/OPvtdLe9XKzDeXIwJW0dy6yUktBjLlq1gzpw5eLLZQpbodZC8hPwHwPHA\nAM6VEVGFnrVO7ORch7eeAA5lw4bHW5YY9vjjT+Jb3/oWWZYKVQna/0wJuBqvKNxCFi8rkcXPtuww\nl6Nie9yE48HFOJGR3HoJCeMAsfJr06ZNxrWl6YhsvKgD6AyvJeAE4HJgEBFrseii7WhbYIURU6ce\ns0193rhxY05JOGnSvoGYwJNSNbwvk7kTtS8fNddjxRtzh/q8I9WE2ytqSC7GnQfJckpI2AYsW7aC\nSy65FICFC6/jxz/+KXfc8Tkyq+M5/GCtrrxBrNXjyaaDTHCgsA+dSkzqSrNE57evX/8oz3ve8xgJ\nvNjhg6ZNnU8lpi+lqJ8/BSaF99onK3e32dR930866SS++tV/H1GfRoMkahj/aKXllMgpIWGUuOmm\nFVx44UV44hkgbyENmPWqcnsAn2fvFwA4dzgi/XhCeAhvCU1vcrZ+MqWcJY5DAOH888/nppuWbrXP\n9Xqdzs7JoT1V3FmLrAq8AfgueXJSt6LmCFQCg4yoIItJlYDn6O3tbXDtba9LLZHT+Edy6yUkjBHq\n9TqXXPJhPOGAJ5zvkinqvkc2UHeGfWrA3wKHhmD8Ejw59JvtmjnCDvY2g7m1rlQYUeLmm28ekXLv\nrLPeRj6GZctyaPvfDO0eGpZ5wC/DtdxPniDXUqwqBCgPufZsbavtnWOURA27GERkl1j8pSYkbB/6\n+vqkWu0WWCPQJbBOYJVANby/V6BsPi8I76uyZMlS6evrExGRJUt6BCphW7fA/PC+IxxfMq8V87li\n2l4nUJHDDz9q2D739vaaPpUFXGiP8L4jtEt47RDoNOfQ643PXQ3HlMNrKRzbIaee+mZZseJWqVa7\npVrtllJJ79UaqVS6hu7Dtn4H23P8znLOnRFhnG3NmN2qhsb7ksgpoVXQQbdU6hLnamGQ1tdKWOzg\nXpHFi5fm2ujr6xPnOg0xdIXjS4YElEyUSJA8QSwYOuf8+Qua9nf9+vWmLdtORxNCrOZINduvarbr\nteoxLmqXQOKWyOYHoqvKsmXLW/qd7EjysCS7YsWtO+QcEwWJnBI5JYwxdDDs6+uT3t7eodfe3l5Z\nseLWYClUpVzubDoQL1u2PAzuSgAlY30oEVirBkMkSlILwoBfkTPOmFV4nkceecQQH4ZY7HmsldYR\n2uyMCE0tLhcWS1S6n/a5lCOnUknJ23+uVrtbRiY7kjwyS7n1/Z6ISOSUyClhnMOS1nBYuPBGQxZV\nKbZKMmske9X13YGgPBnOnDm74RxXXDG3gIDsKwJ/XnBOPW8lIkQlyGYuPk96CxYsHCKNnp7lO2SQ\n39HkkchpdGglOSVBRELCDkCtVmPy5MlbDdj/8If34EUFOsFWlXJiXh1wgflcMuufw+fmux/4KXfe\n+YXcPKN6vc7ChYvJJslWgQPJFzgsA98BjiTLp9cfFpWaQyaJh7zknWid79u73/3OodpWF174AWbO\nfAsqtpg58y2F92a8ZQ1PIowxRKtYbrwvJMspYZxhyZKlko/pqBXSFSyQTimO+Wh8R111HWbfqsyd\nO3/oHF4MUREfEyubtmwcKy9myNZVzLmcOa5q2qyZ/dTt5y2uRx55ZKgfeSHJGqlWuxssS+ue6+lZ\nPmILpR0xoSSIGBlIbr1ETgk7N/r6+gxRKHEoAZ0cBvgTJC+AUPeZEpQSSaMycOHCxeY8pWhf60JU\n950VQ6j7UIlJ40xVgW+HbV2SF1TE7XXIG994Qu56rXusXO6USqVLyuVOWbjwRunt7TXb/XWMhmwS\neYwPTBhyAvYA7sBPFlkDvBKfh/8bwK+ArwN7mP2vAP4L7/s4waw/Flgdti1rcq4W3f6EhO2Ht5o0\njlOTTAzhzABviSQmJyUafV0jPv60TlT2PWvWO0REZM6cS6J94/b2jgjLWlgqxrDkpOrCWniNVXlK\nhi4n0pg9+xxzjk6Bs4Y+O1cLIpI1ufZSjGfnQivJaaxjTsuAu0TkMLzDey0+2dg3RORPgW+Fzzjn\nDgdmA4cDJwErnXPq5L4FOFdEXga8zDl3UnsvIyFh5KjX63zoQ5eRFe4TfNynQj4WZCfm6sRYzD42\n/nMkPhnr7cAMwHHHHZ9n06ZN7LHHHmE/zZkX4w/kY146udZO0tUksH8ePku03ULQtEZf+tKdLFnS\nQ71e5847v4CfvPxA6OtXhs4pUgYGKZePwce5xk/cKWFsMGbk5JybArxeRP4BQET6RaQXOAP4dNjt\n08BZ4f2ZwO0iskVEHgUeAV7pnDsQmCQi94b9PmOOSUgYd9i4cSN5kYGSTQW4j4ysNFWQEoFmDFdh\nQ0wOA/iM4avxg77jrW99J9deex2NYgslO20PbFLZLH+emM+2DwPhOBVPaHsq7pBwPSUuueRDRuRQ\nA2o4p/kCM5RKJW644XrK5QpwJM5N5cYbbxjmTiZMZIyl5fRiYKNz7pPOuZ855/7eObcbsL+I/Dbs\n81tg//D+IOAxc/xjwMEF6x8P6xMSxiX8QK2Dt+bgUyvoDvKlKoSsJIW1mC4m//eNE8gCVPn6179a\n0APBE8qW8FnbmU6W469s9tVzV8hKaShx6aLn12362asEb755ZU71tnz5zcycORMlNecGWLLkRi6/\n/CoGBuYCHYgMcPHFl4445VGR0k/XNVMBjjd1YEKGsSSnCnAMsFJEjgGeJbjwFOrDHIO+JSTsMPga\nTA7/c1frQ+s9LQx7fTi82gKElrBuJP/3VQtMraJpwJVAiT333Ie8ZaNko/JyhbWu1GpTEoql7pac\nHD6PYM20N2jaKDN37t9y7rnvHpKWA3z5y1+mUqmwaNF1/PGPvfzN37w3xIevQ62/wUHHli33MWfO\nRcOSiM3dd9NNK3L5/HbbbQ+6u/dsILmbblqx3fn+EnYcxiwruXPuAOAeEXlx+Pw6vODhJcCfichv\ngsvubhE51Dl3OYCILAz7fw2fmfJ/wz6HhfVvB94gIu+Pzifz5s0b+nzcccdx3HHH7eCrTEgoxtln\nv4vPfe5fyAb3efhaSUpUCnWj/RSv+ykBb8InabWuQSUCW6hQCasetlXxFpPuD42FDOv4+JWYdrRP\na/ExrWvCMUpOpSbblAiPAB5iw4YnhjKV77bbHgwMPAxAuTyVZ5/9AwDLl98SEusqCU4D7qNandE0\nA3mcrRwOpVKpMDgIg4MPFbbzsY99nDlzLho6T8pwvm34zne+w3e+852hz9dccw3SoqzkY63W+x7w\np+H9fOCGsFwW1l0OLAzvDwdW4esMvBhYR0auP8Er/RxwF3BSwblGqTtJSNix6O3tlQ0bNsiSJT1B\nRq1S7vnmVfP0rQmvNluDKvxsxgeb0aFTYK5kqYbiHHpxglorCbdqva0pBzsaVHaZOtCqAGtSrXbL\n4sVLG9qZP3/B0FylTAXYOdSP4XLxxTL1LFGtqhizdTq/qlLJqwyTKrA1YAJJyafjHwkfAO4EpuCl\n5N+kWEp+JV4IsRY40axXKfkjwE1NztWi25+Q0Hr09fWZQTteNC+dJQxLJEcZklDpt5WFV2SvvQ4y\n5OSi/eLM6nE6ok7Jz2uK97lomG12nScIn2dP8/d1m77aY1eJSuLjpLlF0Im4Wb7B/FyqUqlraN5U\nRmYLZEclot1VMWHIqZ1LIqeEnQGLFt0omWV0SXidb4hFLakiC0YtJp1Ea4nMmf3UYrLJW4ty5ak1\nZs9pSUXJsCh7ecWcs8iimS9ZdolGcnLOW1lLlvSM+N719fUN5fCzRGQXhZJZpdIlPT2JmFqFVpJT\nqoSbkDCOsGnTJqZM2ZssfqSxIX1fBi4DFtFYsRayAoYVYC5wPX7ekK1em5VUz8eerEDCbu8ArsLH\nk47Hz5HXY35h+mDnRukcLnsujWGVgJ/j9VA/xpeBP8xcg15HmVKpyvXXf5T3vOddQ/Gger0+lLuw\nCCOtuLu9lXkTGpHKtG8DEjkl7AzIk5NKw1VYoAQjxElW/evr8QlcHXmhg4oldG6S7l8mLye386Y6\nyMhCFYNbyM9/UpEEZOQEeXGG9l+VhJCXqVfx3vpr8B7+Dry3XyXp+mrb8+2ccMKJfOITtzSQy0gS\n7ibsGCRy2gYkckrYGbBx40b22+9A8oOyQgf4frJJujpXCjKCKdNIGtqOEpSEY58jk7Er8UCeeKaF\n/bQdJQ3bNyVJm7XCWl8ldFKu779EfST6fBVeUq7/2VOB/yBTFep+aolpH/x1LVu2mAsu+MB2W0fJ\nuhodWklOY52+KCEhoQFiFisLV5edWh6WKOx+MXRAn0d+fpO1lMrRMhy0DSVKJRD78FcN59N+EvY9\ngcbJwoR1NkXTR8kIbC0+1dEg+Xlfek5rVXqivfDCC3nLW87ernlMdu5UmgfVfiTLKSFhHKFer9PZ\nuXv4ZN15Gs+pkLccsomuWaYJa7UoYT2Az7m3mvx8JJuNwsa1ymTEo+vV2orPH7cDniRK+HlTFTJS\n6SfvXtQ+2lRNeu2x21DwM06uw7sYTwa+au6P3bc/19fRzmOK506leVAjQ7KcEhImKGq1GgsWfDR8\nsqmCHF5EEEMtrC1mP8iKBRLWa2LYOn5wV4ukgicuTBsCPIR3rWl7SjDDjTtKkup+1BRGgifF1dH6\nLWQEWDKLTh6GvDUFnpy0AOJXybsSLfIW1uDgYEpftJMhkVNCwjjD+eefF97FMSDNu3cEfsA+j8wC\nsZaTRIu2cRV+SqCKIIqglkudTBFoSUyAQ8gIw6ZC0uMfwKv4mnkqLMEpWVk3prUW+832OI61xWyH\nLG2TdSf6ezUwMMAee+zPTTetGDrzcG67VAF37JHcegkJ4xBvfes7ueOOz5Mle70c+AieJKzowCrj\nbOzHksVgtM8p+PntVhxhlXZWqZdPI+SVdHGc60F8Xj2Vg1sFnroJ9RgVcsQSdu2rFTxoe/F6604s\nm32qwM9CXw4ls6ouB/4OtTAXLFjAJZfMMW67OpXKsTzzzO8bCCgJIkaH5NZLSJjg+Nd//SeWLFlM\nqaQWxAKyQfiXeEKwsm4lJH1Vi8eZ7UpGXyMvZIDMAoJMeDAPT0oaw1GJdzwfagbwWTIBw2qymFYp\nOsaeU98/QEY8Cs3cvjZcq4XGs6wIRO/TdGBq6Lu2v4QskS7MnXsVL3/5a8On24Fj6e/v59ZbP06M\nWq2WiGmMkCynhIRxDFvuYb/9DiJLEquiABVKqIWlrw+HFlRIYF18sdAAMotGLZwOvKX0DPAaPEE8\nhyciJYvpNAoWfhk+HwHcg3cjduBjWNA42VbPPRdPaGrlVcJ+eh1TyRLQXmmuXzEPeDve5XgffmKv\n9kktN8joecRoAAAgAElEQVTk9oOccsrp3HXXXUPXoAloExltO5LllJCwiyCfCUGtH1tQ0E621cXK\nsufhCcNaMBZKFA9H7aml9JpwXA34NzJL6fNNeqznPdEca+NYVh4Ovqj1w+Ga1OobxBPhAJ6UppKR\ny3PAtWSWkLZ1XWhf+3doaOtkMiXfWqxL9K67/j3X84GBgZw4IoklxhaJnBISdioUKdNU1QdZLEaz\nObzd7GfJyVbCJbfP+vX/Q7WqMuxfhuMOwZOCuu2uDettnSid9zSAnzC7OhyvZHlkQb+/CmyO+mgF\nFip8GMCnbdKsFtdGbW2J2lciLyq2aM/h8K7LaZRKlSGrabRznOr1Ops2bUpk1kIkckpI2AngB03r\nLYkl1nEhQI3LWBKKUwpZFdwhODeVcrnES15yCP39g2Rl21U1Z1HBV7BRqLChQuZavN1sV8HCyeSL\nITq860+JTbNf2OvRthcBV5O5Dq2FqGTUT75UvJJvrOQToAPnSlQqQqUi3HxzD7VajXq9zpw5F7Fl\ny2q2bFk9okKHu+22B1Om7EN3955pwm6LkGJOCQk7Aer1Ol1deyCiSVxtSqKilD46gB9CJoTQQT8u\nCmhjMnEsCrOfzSxRwavgFuBjSqvNcQ+QKea0n3EqJO33yXjloBZBLFLmVchiVlY1KOE9wMvNsZB3\nJ2r/VVXo71GpVOXmm3s499x3A+QSy450Am5jocNpVCpSqPzbFZBiTgkJuxhqtRpvectMMqskLrFu\nLQi73pGfPBtPwlWyeYDG1EAU7OfI3IgLRtDz75JPh6SZHSBzrWm7Gh+rkM3lsvEqPf5IvIuvhI9r\nvYY8qa0lm2+lJOfwhOZjUYsX38j//d/vOe+89zUo8tIcp/GBZDklJIxzaGB+n30OzJUiz8efbAoi\nO69IFXqxYq0oLdC1ZG61E/DxGrvfh/Cy7Ni6slbKqXhLaEvUFz33icC38ZZWnbziT60i6+azKY1i\nguwnr9KLLS5vwVWr03jqqSdzc5ZGIhG3+w8332nlytu44IILGRgYoFSqcPPNPZx33vuGbXuiIllO\nCQm7CDQwv88+BzIwkD1clcsxAUFmUYlZb+cvWRGAWlqq8LsG7zrTVEZfJz/PaRA4m/yQUcVbOZeR\nxXdmAD8K71cB94djteD118gk4M+Rx5Zwvn68gm8ueXWfvc6HyKv0tObUoXiry1EuHzNk+UyePJl9\n992Xf/3XL7LPPgeOSOigBLY1ccR5572PZ5/9A729Tw1ZYwnbj2Q5JSSMU8TxjHJ5Ks45nHP09Cyl\nv38LF154UdjbZm0oitfEVsoheBI5jsxaecgcp9ZUH7CQzC2o8S6db6R5AH9OPs5UJl8H6jLgPWSE\nqIlllVBVnNEf2n4g9ImoXz8MfbYWpPZVLSifEaJcHuTJJ3+dK0o42mSuKQHs6NBKy6nIyZyQkDAO\nUSqVeOqpJ4cGxkmT9qK4Gm4RYivFjh81vNVxSPg8Hz/Q2zavAt5GJkSok4kqwBPJVfghRecz2Qzo\ni8Ki7fWbvk81/ekiS1SrVl8szrjS9E3dhdfg3ZLzw/vLGBhYxP77v4BSyd+7G2+8wbRRJz2sjm8k\nt15CwjjGjTfekAvMa5XXej0/uDpnJ+Fal91AeD8DO6fHv39N2H44fkC3iVV1Qms1LNfhCciq4SAv\nmJgPzAnrlcCs+ALypTcw63Si7ENklpe679TVKMBr8TkG1XVps6BbLARORqTEwMDDbNmymosvvjRI\n5A8DpiMi3Hrrx4edbLs1cUSaqLsDISK7xOIvNSFhbNHX1yd9fX1b3W/FilulWu2WarVbli1bnjtG\nt5XLnVIqdUm12i0rVtwqZ545S6AqUAlLh0BJwIXXstlWDuv1c1VgXViqArVwfHdYOgRWmX3XCHSZ\nY7rNtnix7RLO3WG2X12w30WhPbtuTXhf1N815v388L7L9HFNk35XxbnOoXs4mu/NfkfDHbsrIYyz\nLRmzU8wpIaFNWLnyNubM8TGinp6lTQPnw8U5irY99dSTTJ48ORQqnETe1beFxpIWkM9o/iBZIUJ7\nXJyD76dkFlg8X0pz81VNO0eQWUEaT1Kogq8TL5o4hnyWC9tPfa/zp5or8xrf2/+8I4tl2XlTAtxP\ntTpjxPGk+HuoVI7gd7/7TS6+tSsiqfUSEnYyDJd1YHtdQzqYbty4sWCrCg7W4skF/Fyiy8lcZ3eS\nxXGK5kopXoEnH41PzQ/rLwN+TJbCyJ77CrK6SyqSmIcnjwqeiKaH7VvI0i6pK9BK4KfjXXLqfjw8\n9PdUsnx6dj6T7qfDXCXsJzRmqdge3E5/fz/77HNgyg7RSrTKBBvvC8mtlzCG6Ovrk2q1e8idVK12\nS19fX1PX0HAuo6JtfX198vDDD0euuEpwo1UFFgR3VlXg9AK3WCW48srhc1doS91v+nq5wGlmnwXm\n+Kp53yHQOYzLcE3kJuw2feyM3HTWvdcV+qguylpYp65K3d8ZN5669KzL078vlWo51+hosGLFrVKp\n6D3Nf6+7KmihW2/MSaNdSyKnhLFGTCrNCEsRxznsZ/u+p2d5IAMdnOOYTofkCaLSEHfJyKSItJSE\nOgrIptu0vyB8rgqcGNorN2mzZvp3lmmr02zrEB8/6jbH2z4sCOv0PEqoGl+LY2Zl8WSdkdOiRYtH\nHAcsQm9v77Df4a6GRE6JnBJ2UsQEM9KBrZkltWzZcjPgKxGUCgihIxrglYg6DQFYIlkTtaHWyZqI\nLJQMuwrWdxpSs0QZE05V8lZULHRQ60xJS62sbskLHazoIrac1Joid45WkEkSRmRoJTklQURCwhii\nmUgiTp1TJJAA2H33Penv10zcJXw8ZwE+lmMFA7pdyMQEdbwQ4Wf4WIxWx62SCRjiVEWxEELl3JeR\nldQAH8/5EfBKfBxJhRc1MqHEmqhtRTx3y4X2l5AXMjxHJrhQufmR5lo1r6CQxcPyiWhVUNIsndFI\ny7Sncu4erRREjLlF066FZDkljFPEbqWRuv/6+vok7x5Tq2KdsTbUWlGrociqUqtEran5ko/TaBvW\nAtJ9VHJuYzlVgTMki3HFbkXbV3W5ObOvXV8VuEKKXY6x29K+Xm3OEVtZJSmValIud8qsWe8YVWwv\nYXiQ3HqJnBJ2XgwX4xhOOFGpdEml0pUTQZTLndGAbcUDKoiwcRY7iOvA3WzgV8JRl1m3ZO43KzSY\nL5lA4lQpjkvNNSRo50ppGxorqoT+aPzIih86TBuxy3GVISB1M9rtXUPnOvPMWVIqKXFmsSvr4ovv\nbbncuUvHkkaKVpLTsFJy5/H8lphoCQkJo66waqF59RQf+9jHGRgYiPYS8oUIK2QuLluqvITPqfd2\nitMelfFuuI7wWaXuHWHbkWERfFqitfj5Sl8NbVdNW4N4l5yQVepVyfd0Msm3lvbQ6rcSzqf9/1u8\n+05L0Sv6gVeH4z5r1tntvuz8m988k6985SsMDtr7ca25vnC19Xru3sYl3BPagOGYi5A/pFVMOJYL\nyXJKGGOMVADR07NcKpWuYd16mUrMKuQq5rUkjdZSkVtN5d5HmfU1ydyDZxVYXLp8WzI34QLJS8dt\nv2IrSq2le4PFowq9zvDZuiTV4lkTHWstqQWmnyr2UGuwe6i9UqkmGzZsCBZRLMioyKxZ78hZTt66\n6hboEue2z3LaHkXgzgTa6dYDPg28olUnHKslkVPCWGMk5BSnLWp2XF7CrGq0ON2PJQUdsFXGXZFs\nvpIO6lbZZskuVv3pa63Jfl3mXEUuPiWYWvRq3XZWWagkobGtBZK575zAD6RRSbhG8i5J366mfcrI\nS92S3jVp40srVtwqzvnrKJc7C+NOIyGdXSl21W5y+iXeXv5vfF6S1cCDrepAu5ZETgnjAcMNVM1I\nqNlk3VptDzPAWjLSgdlaB3ZAtnGfWM5trZZ4PpSNFTVaHhm5xRNprWBC4z9FpBZLw2M5ux5j42Sx\nSCOeExULOrIY0vr168Mk2ny+PSs4Ge5hYtmy5VslndFMF5gIaCU5jaRkxokt9CImJOzSOO+893Hu\nue8Gti47HhwcZO+9Dxiq36Ty8Vqtxrp166jX/4CP/9yPj80chY81aVqiK/GSa61K+4vQ8qH4v/XX\nozMeE461Uu4/J4tfFR2jOAgfP4IsH569vqKquHMBLWOhZTZsX2JFcpWsVIdK4W2NKu3nYaYtzeun\nFXQ9NJ60bFkPH/zgMYjEsbvhsWzZijAFwJ97zpxpnHvuu3d5KXlLMRIGA14PvCe83xd4cavYsV0L\nyXJK2AlgLSQf88hbUWpJXXrpFcYqsG60uZJXumm2BGtV6ec4LhS7AossIhuX0venFhxnUwnZczdT\n8dlr6RAfj1ojjcpCa80VWVbOnFv7qVaWTeHk2z366Fc23At1p8bfh1VJeotr+yZQT0TQZrfefODL\nwK/C54OBH7aqA+1aEjkltAOjCXw327evr68hLY4vj+EJwTl9b112doCvyLRpxw59PvPMt0qjmEFd\nXEo6OtAfaAhA5woVzZuypBVLu6sCJwSSuFfycSC7n+2TpiLSTBQ1s31+RIyxu87Oi6qYY/R8lozV\npannUwJdJ7CqUDJelEYqFqNYQmt2zER25ynaTU4P4LWcPzfrUswpISHCaJ6QR7JvMysqG6j9gNpI\nDEUTbeMcdzYGpQO1HfRVsVeUc08JRAlHRQtxfEctnjMKiEWtvaJ4k4152fiTvYZV4XO35ONTNt2R\nxreGE2bkE8E2Ez4olGRWrLg1CCsq4lz+mF3JUorRbnK6N7z+PLzulsgpISGP0QS+R7tvbEVBd1CR\nFZFOnCPPkpNto0u8VWPVd9Yaqkg24VaTqNpzVKPzr5FMCr7OrIsFER3iXXlFWSOs9D12Oao6MLbC\nYin9KsnLz5Vc742ILiZLnfy7oGEyrr6PlZSZmGLkIoqJjnaT06XArcD/AO/DF265oFUdaNeSyClh\nR6LV5FSU0sg/qVelVOqS2bPPCa49O6Bnc3qsu8u5WtjXDuRKGBqbujis1+wMVYGTJR8Hqpl95ks2\nn0rdaHEfihR3lgysS04tOa3OGxOpuvrU1aj9sKTWEW1Ty0/LasSuzYo0zofqklKp1qCQVGWe/c48\nOY1O4TfR0VZy8ufjBGBxWP68VSdv55LIKWFHo1VuvWbb1IrasGFDZElVBS41g3Sn5OctVWXSpH3N\ngKyW0Egl3db60jjSh825imJOuk0JYF3U5ippJLCaIbm4P9b9VpbMQtPrUXn7fGnsyyopdn8WWZ3e\nTVdUCiMmo56eYil5cuu1iZyARSNZN96XRE4J7cC2CCJGU0ajqMCdf39vNGjr4KtWjg7S8yXLVddM\n9VZETl0RcVg3X0xONlOEjT+pyMFaS9aSudqcY77k5zLZ2k2xhabuSI0xxXOd7Nyqrbk/ffHB+AGg\nGRnpA8PWLN9dBe0mp58XrFvdqg60a0nklDAeMZoChPltfmCuVrtl9uxzTAxKB20r9VaXliZH1VhS\nkciiKvnMDdbFFxcoVAuoLFl13aLJvXHG8nibysZja0aVgLHlZY/vlCzThfZb3ZfqOrTxJ+3DWaZt\nS5b+HJWKd53qd9PTs7zhQaLo+xspJip5tYWcgP8Pnw3i/8gyQ6wGHgX+qVUdaNeSyClhvGG0pdvj\n/SuVrqGn9rybr8hNVyReiNV51qrKp/1pJJbOgja0TEYltGWPV7FEkfvPkkNJ8pbOcBklukzb2v4Z\nZl+1HK3UfJUhubmSV/t1515LJZ8FXqX7NiP8cN/f1jCR3X7tIqcpwIuAfwFeGN6/CNi7VSdv55LI\nKWG8YWtWUtE8mTgpbFE7jdJvO/AfEA3y881nG/OJXYZqkSj5KInFsS9NIWQtL5v3zyaSjd2DSiqn\nSVZ6XWNW+toZHauv1gV4uTk2vpY10bk6xLlamEemJKi5+3R/dRV6Sf+2VDIeyXc+EdB2QYQ/J/sB\nL9ClVR1o15LIKWE8YjTznUqlLimXO4fUY3bOTebWUwsmVqbZwbxZjjybZ04H6rL47OOWnKri1X1F\n2b1j119VfAYJS1Qa/yqSd9u4lnUF6ja1DJFMCGHdfjXTlrYf90f7ebVARTZs2DCUfWPx4qXhXtfE\nObW08m309vaO6vuzSOTUQnICzgD+C3g2yMkHgYdb1YF2LYmcEsYrRlZ8ME8k5XLnkAWVDfw1aYzZ\nxHOHrJuvWXyoKl7SHRNcOdr3dLPNTrYtmg9VFThSvPUWWzq6/Ziob7EFWBFvFdljrpZMrBFX3tV7\nUhR7y/pnLadqtdukNLJtZfd9e8UPya3XOnJ6ENjHTML9M+AfWtWBdi2JnBJaiXYFtJuRU6OLqln5\nCrufbce65uwcorLZVkRcZ0lmXakFE8eolKyKXIRzzLoigYPmAtQMEmqJxemThpOEKxFZCbrtn5KT\nXqsl0yJr69Khc28tTdFovteJZDEpWklOw1bCDdgiIk8BJedcWUTuBmaM4LiEhAmJ7almO1rUajV6\nepZSrc7AuQGyKreOfNbvAXymsQfxFWUPBY6I9tuCr147GNZfTVZldhBf0Var2JajnlRD23fhM4FL\n2LcS9p1u+iXAc8CCcGydrNLsTTRmG7cohf5eFa7pEuAQskzka0P72l4Vn5XdrgO4DK/f0iq79l69\nGphqPn+WuBJuHjcDwpvfPJMLLvjA0Nrt+R3UarWUwXwrcJ7shtnBuW8Cbwaux1tQG4AZIvKalnTA\nuTK+XvRjInK6c24v4HN4EcajwNtE5A9h3yuAv8L/ai8Qka+H9ccCnwI6gbtE5MKC88jWrjUhYWuo\n1+tMmrQXW7asBqBancbmzU+3ZKDRMuBFbW3atIm99z6A/v77gc8D15EvMVEiI5QBfFlyISvTriUh\ntES7kssv8APzkeH4NWSlKE7Gl10HmAfMJF+iYio+YcwMcw4luwHgw8DfkZXImBbaHwz9IvRTS3z0\nA6vwRDINT3AKLasOngQlrJsXjrvW7HclvhTHd/BEdDWwkKxsxgn40h9K0kqoJXMdYtpbBUClcizP\nPPN7arVaS34Hw33fOyucc4jIcE8fI0ZTy8k5t2d4eyZeTn4R8DXgEeD0Vpw84EL8L1Z/DZcD3xCR\nPwW+FT7jnDscmA0cDpwErHTO6U24BThXRF4GvMw5d1IL+5eQsMNQr9ep1+tbfQqv1WpkP/cb8ANm\nBW8t/RQ/0OpsD33/MzJi+Cl+cC+F9/fh/3K3A8eGfXTfGn5QvotsQL8GT2AWg/jB3+EtlVI4xy/C\nuhvJ6kOtDX36cej3faYP95j3z+HJcQsZARFe1Wqch7fiSsBH8cRkrSrC8a8J+1wf+vpAuG9fC+s7\n8JZXiSy/9QdDG+VwTQL8MzCD/v5+Vqz4GK1AO63vnRbN/H3ARvyv7O+B9wB/2ipfojnH84Bv4uNY\nXw7r1gL7h/cHAGvD+yuAy8yxXwNeBRwI/MKsPxv4WMG5tsuXmpCgaFVAe2u1m2IpucrIs7hJl+QV\ndEVxprgeksZjdE5Ts5ITV4uPQ2lWB60NFe9vM0hohgpV0BVJzedKVv+pW/LS8mPMe03yWhVfhl3T\nJMWVeZvl4StqXyXiRXE5VeVVovWN63p6lg99f5VKV8P8p61hIiv2aEclXBHZ1zl3CP7x4zXAh5xz\n++Efc34kIotawI1L8YllJ5t1+4vIb8P73wL7h/cH4R+7FI/ha0ttCe8Vj4f1CQnbjSLXy2iq2Q7X\n7pw5Fw25hbxFUAdqDRVwgVB1FRYtup4f/vAe7rzz5eE4jcXcHtqo4K2M6dnJcu6wq4BzyFxjgrdo\ndPudwNvwlsMA3rq4D2/RvBJvXdwX9p9O5npTl97Lw/lPwj8/DoZ2q8Cp+LgWof378Fbal8Pxv4j6\neineHfdGMovoarLqvuqKsxV/1a1o23kgnEetLq3KazGDzMVnIZTLFQaGCuVWueSSS3n/+98LYKzZ\nhJZjpCwGvBS4AFgH9G0vKwKnASvC++PILKffR/s9HV5vBt5p1n8ceAveJ/ENs/712lbUTiseDBJ2\nIWyLhTRSFVZfX1/IMu6fnp2rDUnDrRVVLnfm9sue5FdJXs2mk2/VAlAVXVbWIT9XqJmyb1WwblTB\nZ8tPqEVjFX5FCrpu07buq6mTbF9V2m2l4bZ/1kqzuf06oz4ON3crVjVq8UNrcdbMfVPlX5eoNN7P\nd+oY6oNatrH1U5Rjr5W/rZ0BtClDxGvxjy534p3Un8PHnV4F1Lb7xD6iux4/d+pJ/Dyqz+IfeQ4I\n+xxI5ta7HLjcHP81/KPcAeTdem+niVtv3rx5Q8vdd9/d2m8lYUJhW1wvoxlw+vr6Agn5gde5Ttmw\nYUOUcHRBAYFYiXVVvNvKzhnSxWZ9sK68SvT+atNWxRxblnw1Wm2r07yPJd1Wsl6RrPzFaQXXobLx\nItefTVZr52vda86tGdL1vHayrHVfxoUO7XZNv5Tl1Mv6nJenO1cb6u+sWe9o+H04l8070wnSw333\nRXn6dkbcfffduXG1XeQ0iNdo/gWwW6tO2ORcbzCW0w2E2FIgpIXh/eH4aGYH8OJgwana8CeBqDSK\ne1LBOVr3jSRMeIyWnLZlf28RZZNHdRLo7NnnhNiSzs+xcZP5kmVBsHEXjfVodoe5ERlYQjtNsniO\nxnIsmZ1szhdbbWqpDVeCQie/KjHaAoM2XnVSATkp+Wr7RUUH9f2JUR/i8u1d5lwdkp+oO9cQkk74\njYk4znaRtdfTs3zoYaQx6W61aRxqolpMinaR04HBbbYY+B4+1rQceCfwklZ1QDJy+lJ4vxdeJPEr\nvN5zD7PflXi14FrgRLP+WLzj/BHgpibnaOV3kLALYLSW0GgKCPb19ZnB2w7Mq6Ra7ZaFCxebAVFd\naza1jw6EOrDGRfuKUgtZQltlzmkD/s1cfTqQW3KKyaYkmeURT3xVsrRJVtUtp6TQKfkyGHG13C5z\nfhVdWNGCbd/22wonrCuvInCKuQfxddslbyU619G0SrE+PMS/gW15gNnZLKu2kFPDjtCN11k+Agy0\nqgPtWhI5JWwLRjNAjKaAYG9vb5MB0RNWY5wpdl3FA2gck4qtjpo0urzmm/31+Lgku3UR2mq4RWRg\nrae8JZGPD9n1Nru5dSva/sVWVXxdsYtPicumM7KZ0tWqsvd/jTRej7oxlcjyZed7e3ulp2d5wf33\nbsI41dFoyGlntbDaZTlNwc/C+yh+vtHTwX22FJjVqg60a0nklNAOFJFZ0aC0YcOGYQbsUsGAZ11v\n2Xot3Z4fwG36H5u5u4gMLeFYK8EeF/dDCxvaHHm6nF9wDj2vuvusu62IXGviLS2Vo8fCibjQ4Q/C\nfja+VJOszpPei6rAFWFfS3CWtOw9mC9ZvSq9Bn9P89VybVtXD53TZjBXjIR0dmapebvIaSNe43kF\n8P+A7laddCyWRE4JY4Wiwaa3tzcQy+VSXD8pG+Sy99byUcvIuuJUAGCTplYFpkvm5rJxFHVz3Sve\nHWdJoiL5PHg2rmRdcUqwcyVPRLadmOCsm7CouKAtfKhtagby2C1pt8ckrfc1dm9qnafY2ikiVTtn\nasFQu4sXL40Ul9Z9OF+K3Hr299DK+OV4QrvIybXqJONhSeSUMJYoemKeNesdkj2l2yd2O9hrnMUO\n8FqbaU0YMDvMwNghjWIIHXzXSeYq625ybHzMUaZvKnLoNPvbvp8mmZtNYzxFyV91u06Kje/BWYZg\nrFUXT6pVkrQW3NbISSsBF1mQdp3Wk6pGx3py1uq4meLSCyMWLbqx5RO0d1W33lZz600UpNx6CWMN\nO6F32bIVYWKtnyxaKh3O4OAAMB8/y0InlK4BwLnDKZdL9Pf3A8cD3yCbMFolP5H2Q8AS8hNRL8Pn\nudPJq5BNOv1F+HwYfnJqP36y6tvDsYeEtnR/m8PPDfXR70vo9yDZhN/DyHLWaZ8FPyn366FPth+H\n4mevvAboI0uBpDn/4hx74EW8V5p7p9cn5hVzXYdF90FzDmpeAjHHPmTuj4R9LqNUuh7nHAMDPwOg\nWp3B5s1Po9jenHk7Y+69VubWS+SUkNBm1Ot1dt99T/r7HUoqlcoR9PdvwQ+ylmh+CnRQrc7g8ccf\n5W/+5ny++MU78YR0JZ7MqmQD6KF4cjmSjDQ0KayEbZDPW2cHe02G+suw7gj8YP9Ls4/NuCBm2yE0\nZmcohzYH8fnwNKnrj/DZJJplchgI16WkYRPS6jE2OazeN93HJrsVfHQCsgwVWUJXOIqMlC8D3hHa\nuApPRNeQEVwRMZapVsvceOMNvP/9792pyKTVaCU5jbm7rV0Lya2XsIOh0uLhCgfq4mMK2bybZcuW\ny5vfPDtyI1mXls8g4SeDWjeTjYsUZVuwsZ2iukdnSHFsJQ7wF0nSu8wx6kaL5wYVlUtv5lrT/Y6W\nzKWpwoTYrWfVfHG2h6r4OFqcezBW9tm4WBzDsvfxCimu85SVpD/zzFk5N9zOKANvBWhzscHnA1/E\nCyQ2Al8AnteqDrRrSeSUsCOxYsWtQ8q5UqlxAmYcQ5g9+5yhgfDMM2fJokU3DpGPVrltHNCblR23\nJdU7o2N0Yi7iy63H6Y6s8MDOjdIAvyZ7tRkpLHHFaj9VyMUychtT6yw4TifkFikKVW1n29HPcYn2\nmIiKJhFrrErnhWl/NWvGJZLJ6lU5aftmSbmRtG2V4p0pXtQKtJucvonPSl4Ny19ictntLEsip4Qd\nhVhdBd1SqWQy4iL1lScfO5dIB9wFUql0yfr166NBuku8ZNoSkg68KnduJkG3mRqsdD0WK9g5PTXJ\nS7OvliwzxSozWJckm0NlrSWbnTwe/G0/lQRPkObWnZNMuq6WmLWMbC6/IqszVgoWKfysCrImniz1\n8zFmfUy2RRalnqe5Ym+iopXk1DQrucG+IvJJ8/lTzrmLttObmJCwS2NwUGsn1cnHMo4AYPLkycya\n9VbuuMNWl/2z8L6Ej7WU8OKHr5Bl4wYfiyEcM0AWE7IxmgF8xm+LAbIYj8OLFVSIcCT5bOfT8HEu\nFa67ah4AACAASURBVD9YlPHxJMhqPOkxgi8u8IawroZ/5v12+FwJ+xwRPjsykUIJ+Ft8hd3XktWZ\nquAzndlCCYPh3iwlqwhcNtf/YLgmATbjhRQ2nvQNfJIa/fzT8H5GOOZBNBN8tVply5YyWYFwh9a5\nGhgQErYNIynT/jvn3DnOubJzruKc+wvgqR3dsYSEnQVaSr1cngocSqkkLFvWMxQYr9VqzJz5FrRY\n3plnnoX/600jK/Sn6Oess97MPvscyJ13fjGsU/LSYnqCH5AH8MRkt/XjB+DnaCQNyBwg4AfRk8mK\n+Gkl2LX4QoUD+AFYy0notrV4YnoAT3wOTwCH4knCFhgcBH6HJ4D+0MZxwJvMebUv95CJJ/S6BU8M\nD5BVvH3YXK+mAH1PaPvQcF9PxSsWB8NxW8L714a2bydT580gU/gpXNhH8SqyciBa9t2LPQYGBiiX\nIV9A8X5gNc7JUEHJhNFhJGXaX4QvV/GqsOpHwPki8usd2rMWI6n1EnY0dBCq1Wo5xVZW0tvXQapW\nZyAioeQ6eLWY/22WSt5KGBy8HziabICOVWK2LHqstoP8c6dKpSvAXLyVUCezSvrxhHUZWVVZbQ+a\nK+r0/eF4MqyY9vQYlV8LjUo+JZZ/C+etkMnK4+O1vpTtz1QywtNzgCeIV4X9dd8iJaGQWZWxjH4m\nmWXlsCpK5w4jRApCn32J+XK5RKlUYmBAGBz06slyeSrOuaHaXOed9z4mMtpSpt3gYBE5XUT2DcuZ\neJFEQkKCQa1WY/LkycNIif16EWHx4hupVmdQrc5g4cLrKJfLwAMMDj7E4OAW4GL84Cr4wXIafkA9\nj2wg/hXeQlALxIXPCrVeCNsGgI+QDeiXkLn9HsIXBIDM+riq4BqOJBvIp4f3gzBU7vyh0F+dH6XE\n+mDUjlppryYjxIfIz0myLs+HyUhqWlh0DBwM2+aGNo8lI1yLZlGMOpnFpudWa9HOe/L7+odcfQhw\neEm/t6CeeupJbr65h2p1GtXqNEQc/f0PsWXLaubMuShZUKPASMhp+QjXJSQkFEDdfqXSEcB0RIRq\ntcrmzU/z+OOP8ld/9S5KpRKevG7HD4Tfwg/oVfykUXUX3RK1rq6rv8ATzTfw7jGFHeDXklkgApwd\ntaVWi4TznRPWK/npoFzCu/1+atr+Rdimg691z1nYtsBbTjGJHI4ntiPJV6xVglX3WT+ekH4Z2rie\nzFVXBj5MRurajiXyEp5cp5vr1jjWajK3ZDWc99DQJyX3tWG/a1GivOWWv+e8897HU089yeOPP0q5\n3GhEJDffCNFMKYF/pPkQvgT6xeH9h/Cz/h5olSKjXQtJrZcwDHbUvBRtN85eXa12m/RFVTnmmFcb\n+biVjMcqMlXY2WSmqjzTPH36Gqv6rPxc60J1RO1YNaDOM6pE526m9lOlnirXdF6SnTOkNaxsuiGb\nKd2mJ9K6UhWzZHOL8go5Tek0N2rDHq8Zx1VmXiTNvzxaZwsRquJRX236payNWbPeMTRtYPbsc3JT\nCHbWtEQjBW3KrfeGQERP4u10XS4GXtaqDrRrSeSU0Aw7asCw7fqCdHk5eb5URVXWr19vcrXFmcJ1\n4Ldl03WQtRVwq+a9nZwbzz06SrK5QirP7jL72hpI8URZTTir57Y1nWyOugWmDypBt6Rn5xrpRFh7\nPls+w86f0snLzZLEFs0Fs9dv50hp3ywB2fpYer9VYm+l/UUTjHV99j3rxOzR1vzaGdEWcpJsUH9R\nq042lksip4Qi7KgM0I1zn/IZBbJignlyytdx0vk8Om+niAys5aADadFEWp17o/vaEhM243Y8/8he\ng1oRav1Y4rHFCK2lpNkWbCl5JcR4EnARsaxp8r4a+nxFwTExiRSRVTzHrCrwQmmsC2XnitnM6JnF\nOnXqsZKRml7TAhktOU0Eq6qt5DRRlkROCUXYkeTk3XT5rAGVSpf09CwXETFZIrxbr7E2kw6S1pVX\nVH7CEoVaJzYFUeyuUxeYPZe11mz7doKwXo9acbHbcYE5TifOnl5wHpsFPU53ZEvEx9dq0ybphN0i\n6872ucj1aAk43mZdizYrhSVSW53Y398zzpglsSVcqXTl3HqzZ58TLGNfh8sS0M5cJsMikVMip4QW\nYkc8sRalM4pdNn19fbJhwwbZsGFDGLRiq8OWs7BP8rHbqyI+1mIzOjSzQHRgL8omEQ/IOvjHZdp1\nH2vhxX1cFZaYcK2rTGNZdpuWe18l+VhUUVFGJTdLxEpotr7SC5ocW5TzTy1PtVLVnWcJUL+rVaJZ\nM7KUUxm5bNiwocB69vfIZhDR30Iip0ROCQkNaKWvPz/Q+EFSrSWFJcQlS3qkUZhwSSA3dTM1q79U\nlL6nyCKYK3k3VpyKRwdjHXirgST0s93fii1szr2qadu68eJ4mFpYtt+WOMrms7oAbSysKp6IbSyq\nUzIXn3W9KcFWCtbPl+aWn6ZK0nPGJGNjgv6hoFzuFOc6pVzulCVLlsqSJUsLvoc1TcknufVaQE7A\n6a3qQLuWRE4J7UJGTtkTvXOdQ1nLH3nkkYan5MwSUQJq5tqqRQNjvkJrVnK8U4oH/ao5T9WsL1Ku\nlaVYmNFp1mtf1WqIidGKLjoETo36Zd1majnGJKKxslh0ocShxK7bVVRiLUh7vbpdM5vHwhHNhG6t\nsficsTtyTXQOPSb7DcycOXsor2L8sGJ/O9vzkDTWgorxQE7XtKoD7VoSOSW0E0VPzT4u0ehSK5c7\npVTSpKo6cBa55HQAtwN/WfKDrQ6eSgqxiEDPE5/jxIb+FhOWdQ/OjQbtYml1fqBX+bolpWMkP6jr\nsepS03Oqss+6AouUiKVwX+ZG11mSvPuxSICh5er1Wi3pquCh6LhVkv9u9IHDu0RLJS154i2rHWEd\njQfLq5XkNJL0RZ0i0re1deMdKX1RQjtRr9fZbbc9GBh4GNCUNzr5VbMj6O/RcdBBB/PEE+vDZ1tw\ncCqaHsdndFiKz5ZQB44J64vSAkGWB04LE14T1kt0zBH4irNV8hkRvovPRWfbtgX4CO9toUMBTiOr\ncEtod3W0j2aM0GwONiWRXq9eQ1EV3aLKuFoY0VYIPgGff1CPs9Vu+01b2rcK2QRircZr+34ZPmFu\n/vvL3jcWQiyV/CRjn5JqxlB71eo0Nm9+uiXFCbMUWa1vezRod/qiH41wXULCqDFRZ8vXajVuumkZ\n1eo0SqWpiGiFWSWGVfiB8AFgFU888Rg+64FWjrWZDBRL8YO0ZjXQAdv+jS256Pr78LnihGwQ1XNM\nJcu7p8cNhEUzf2s6o3n4jODXkGWc6CfLCqG59ZbghwjBk5lNqlrGk0YNTeeURwmf4cL2U7NROPyA\n72iWNNeTUZUse8NXQhtvwmeTkLB+Ndl3cXi4xnl4otU0Rq8g/12Az3yu91XC9Vxp2tJ9+/HTRH+J\nc0KpROh7ekAeMZqZVMCB+G9/Lf4R7djwehywtlWmW7sWkltv3GE8uCF2JHp7e2XPPQ8IriJ1Kanb\nKJ6PpG6xuKieKtr0vcaNVol3u1UkLwpQ195caYyldBrXV6fAERLLnzOVnXVrZZL4/CRbO99H413z\nzTp10VkV4VnSGJupRZ+ti85F1xG75mK3nva3SFpek0bVnU6wjVWD+v2oK09FHvG9si483a+xxtXM\nmbOH7pNzteTWG8mY3XQDvBu4G5/r/m6zfAmY2aoOtGtJ5DS+MFGks0XYsGGDHH/8SZLFPkpmULVq\nN6sEU6FAo+y4kaBiwYQlozj4X43a1QG3q2CbJRpLoPGcqXgisL0eVbkdafa312JjXyq40OwRcYzJ\nxoBUUKHkbRcrmoivOy6EaONfVxccY0Uldk5WnNYoJnv9HlVgYe9R1WT+6JZSqUt6e3t3yG9vIgki\nRhJzeouIfKG19lr7kWJOrYW64mKfdrP1RccX+cgV7faVby/UPfm6172J1asfGGZPmwxVY0In4BO9\nDuDdfOATjF6Od5NdSxY3+mhoI45t3IdPh3lPeNU4kMZhtDTEIaHNh8NnTYpawruibMkNLSFRJosD\nvQD4XzI3lkLbj2NGmijWlq4YNG1qOQ/Bu91WkcWI1A16KvAf4fM8fMmPLWSuSyFfVkNMm1VzT6eT\njxPp64cpjiPpfbBFGLUkyDx8Ql5191XwLsxryeJe/rzOHRUekLPYVm/vU0yePJmJhlbGnEZiccwB\nJuPv9ifwDuATW8WO7VpIllPL0Mx9MFq3Qry/fh5OatsMY/XE2NfXJ9deu1AylVgzdZt1y9m5Szo/\nyM4lii0jtTpULq7nsOv0ab1oe5wmKLak1DKbb9pSK6DIzaj90rlG6pIsUheukkzeHcvbNSuFvd5y\nYJp4kq+ui1WGsTUUW5R2XthZklmi94q3NuNjbNslabREta3YNWhzBGZZParVbunpWZ5LS1Uud04Y\nL0EM2pxb78HweiLwRfyj2M9b1YF2LYmcWoNm7rhtddPpsUVzg5YtGxlBjZWvfdGixWEwiuNJzchJ\n9xtun3vNgGezMlg3XDzvxr4vmit1ljQmKtWBXgde6xarmIE7JgIlLZsI1WZj0AFe27WZzYvci0X3\nTNvRQd6SYzNitRJ3JYt7Je9e023xvVknxd8Lpq2iGJYSo31IqJlzVaRS6WrIRj7S3/XOiHaT0+rw\nehMh1pTIaeJhpJbHjiKn3t7ekP5ldG2M9rytsrCOPvqVko8p2VxvRaRhLadm5KQxlTimU5StO27j\nB2Zds7lGzawMze7dLY2k16w9vc44HmUtobh/VqjQbKJxtzmf3itNUWQtR5sxw35WArIThW0/9Duy\nDwRq3Slh2/ug6+Pvy8aW/HXMnDk7zFfLf1/6m+zpWS6VSlfhQ5T9XY513Gh70G5y+hR+0sIjwG7B\nxXd/qzrQriWRU/Mf/fa647a3HT8JtSuUlag2/KmHu47RkFOrLKwNGzZIPiBfMouTvABC33eYz+rm\nqop3jWkuNx00i1RhlpyKnvLtQNlsu5KQXX+KIYBmGb7jmlBKIPF5rNAidpHF/euIjlOXmIoRtL92\nHyUbtdyKiN4uRfdSHyKU8Oz9sg8Rx0jeWrX91u8jb1V5153er8z61czkzX6n9ncZ13/a2dBuctK6\nx3uEz3sDR7aqA+1adnVyajYwb6/FM9L1Rfvlk2L6P7vOoIcsYao9pqdnecN1jIR0WqkO7OzcQ/JW\nTqzAs4uNMSk5qftOn/htTEgtm2YDuw7QRXEkVb1pOQprBRwmjWSilkgz0uuUTAUYZ4LQ/bui4617\n0GausPL0OPNEt3jlXDM3pXWLWmKPSVDTEdl+2njRaabtzui9jevZFEixO8/m3CsqTxLHGH3xwWbk\nVFxapXn+vfGOtpATcFh4PSZajgWOaVUH2rXsyuQ03MC8IyTdmmlbxM/1iWWz6sYrIictKxH/QZWA\nrJ8/vo6tufNa4f6bP3+BZFaOPvEXubGOl8yNZ9151lVkycYeG2fgji00nfujg7HeFyUk3d/GrSqh\nLVt+Iy4nEUugbfbwDsniQ9YFaOdY2T5XxcuvdcC3hKRxn7gCr70Hl5u+2ES0MWlpCie1umLLUC0w\nK/Sw2/WaYml8vK8tkbHKtB3H/+ab/bJ8e82sokRO20ZOfx9ev0N+ntPdwN2t6kC7lkROzQfmVrm7\nent7Zfr0Vwz9UffY44Ch97Nnn9NwLv2z2mzOixcvbehrI5H5AbJU6hoxOY3mOoezMrPBQyduqvsu\n7p+1lpScrJrvamk+MNuJpjowalzLDp7x072KFXSgtIXv4iKB8cBaE7jUXJ8lNRVUVKJzK3EWqRTt\nZFx7PktslWjR69X7ZRWM9p7ac1miL3pI0PIbNq5WFPdSa9Baw0XbO8QTp55zrjS6DpUQG2NPWniw\n2e/NlnhPbr1xQBztWHZlchLZ+sC8PUHYvr4+mTXrHU0G2szNka9vs0rK5U7p7e2VZcuW51x5s2a9\nIxc4bmZlqSR3NOS6PRbWm950grk+tQ50YLakoAPUUdEAp4NwnCTUuujOkuxJP3ZzWRK07ir7dG+V\nfhorUouiyA2mpGUJRNu9IhrU1SrTSa/WqmtmZShJ6vmtxeYkIzm9B9ZqLCoUaElZSc660uJs4pbU\nVDBR9FDQLY0TgVeF7zd2kVoLsahA5KrovFu31q3LelumUowXtI2cgH2AC4CVwArgg8DerTp5O5dd\nnZxEtp2AhjtOFUj5gaGYnNavXx8G/qz2z5lnvjUqTe4Hp2q1WxYuXCw9PcvD7PrGp9itBZq39R4V\ntXfSSWeEwdS6muyAXhEvPdaBSwP2agWdagbEZtaS1jFS8qlI3opSotDif7bek3UxFrmoisqdq9xa\n76slDu1L7HaMRRcad7H1nHQf/T00k2M3c7VZizEmELWorHUXX5u6DcsCF0V9qgicIMUZ162r1a7X\ndldJY3/0mNgVqtftyWtrD04TJWNK22JOwJPAp4ELgYuAz4R1h7aqA+1aEjmNHs0ECIply5abP6Y+\nlRYFtjvFuZr09fWFshFFA3NRpVcdMJS8sj+7WlnLli3P/akrle1PDRNbYoceOl3ybjnb17J40tI0\nBbFLS+9DrCyL6yRZS8mmDdIB+mppnLBaE5gq+Sd9PYcO0HbwtOq0OLi/QBql5OoOtG0WvdfrVbGD\nikDsIB0TUHxs8QNN8/7HvzG1OtVqKnIHXh6tP8Xc3/gBSR8+1IWnn4vUf7Hr0roB/fwyjcEOJyRK\n5DRycvoC8LaC9W8BvtCqDrRr2VXJaVtVdXkBwoKGP0yx2s7/QQ8//CjJVGA+oH7mmbNCxVerdNIB\nLp4PZNuM3SY6SGRBYyXQUqmrZbVy9P4cdNCLzWCoMRB9rUh+oNTPsaAhJif7xG9jO7ZmkFoI8UDY\nTMlnRRdKNPH91DYsaZ0umfUSk4idc6R9iuXdVfMaW09WzGBJQUUUloTsvCK9x/peE9RWxUu81Q3Z\nIVkMrSz295bPUmFFK7afaq0WWbL2e9T7Vo7aeaHpp/0t6Dn9e42Nbs39PHv2OUNta4x2Z0O7yOlX\n27JtvC67Ijlt63ykjHhs7GLVkBstv08cBF8nznWIczYWoNkJdAA4KhrE4idqHdg1VmIHX5/VWfum\ncaftde8VkfX69etNfyw52izj8aBGtE5Je64Z7JoNhkoO880gaM8bu5wsAem9LIqBWBKw16PEYy2f\nIgtHB1xLIB2SuR7vlWygj5O22snJ8QOJXlPRxFg9hw76qlS0VrQlhFPN/Y2tm6KkrXrOOIOFJaP4\n4QBzj/V+xHPQ7BywDimXO2XRohu3+vuM/3PJcpJhyalpFoiUIWL8Y1szOehAb7MoZ3/eTqlUumTx\n4qVGmWcHCJXOxpaQDqqdAidFg2OcUXp+1GY86MZP4Z1N54uMJKjc19c35BqMyfonP/nJ0HU3xlzK\n4p/o40GvKB2PHeC1/3FsyO6nA7UVPWjZCRuQj11iGtS369TCs24xJbgi15xV8BXN57EPG+Vof7Uu\nF0THxw8hVlhREnhDwT2zRG4l9bFlqBNybZZzPVar9RbJ9edGfbGEpJadnssSWtzOvZKvlutjTtVq\nt7z5zbOH7o1ztfCf2ho5JbeeLsMN5o8BFwMfKlgea1UH2rXsiuRUNF9ouD+BTbzqrRPrvolTwtgn\nz1hdVhT8toNvrNDSQUhVXXE5clW4rZMiq0OtuTgGptdWNNdKrzcTczTej+9///tmwOqWLOZk3Vcx\nqai1YJ/44wH1w5IN+koQU8Nxus0OyOcXDIpF5cL1ybuI7FaZc9mEp9aCmSvZpNuKwMmmn0Uu3Jo0\nWiUqWrAPLFYRqKRaEf+gEsdqLIlaS8yKP4os02q0r3XLdUj+gSYmSpu66PSCe12R5iXobfwue3jK\nXNgZcTnXMVSuvchjMdLJ5OOZtNpFTvOBec2WVnWgXcuuRk4rVtxamGkhk337P9KsWe8YWp+RVvxE\nrpModRCwg/PR0aBSZGnYJ1cbqI9JTMlqjmlDBypLaJVc+zp3pLe3N1yzH6Qqla7w9OoHwNmzz8mR\nVeZGyQaQSiWLD3jXpA5mJ0rmutIndksS5eg1JofY8lBiV0WctRZjq6voiT0e1O1DgE2V1CnejVox\n25QgNONCLOOOXYnxA0aH5Oc+2WMsaWoSVI09WdJWq0u3q5ssdkHG7skiAYWui2s6xfdbf5u2+GFM\nivq9xFai/T3Hc7XWSOwCPPnkM819WJC7l3HmE4vhyGc8FBPcGtI8p0ROw6LIOurt7Y0sBY3nVGTR\nosWyZMlSMwDESjE7GDab12GfmmOX1SrTZrdpKx6w7SBSlcaBzw6kcQC9JqVSbWhCr3O1IXK2g4kl\nbO9m0bIQvr1yubOhxEHmMuoWX0RPBzB1odnrKpqQqtcUq9D0/Hqd8cCrluol5jp00T51mP3UctPv\nJJaJXy154YTGtnTeVVHMSa0um+InfgCJrRLrCitS3qllHMcbr5B8f1VIEleqtd///IL27W9LCUet\nnyLrLrbC7Lywmnjhg72+mtmu96Xo4UMf9Bp/66NVle4sbr9ETomchkVR/KVc7jRWhQ7W1tUU/ymV\nnMriXT3q0jhRGgdf+8R6ihmUrCotHngt0WhFUR0cNN5SpHCLz2sne8axidjdZQdLe935xKaxqy97\nQo7JVa1JPW+nZEFzf2y53ClLlvQUkKK9DpUr2/tgXUVWHGAtVyUiW3fJKsqaJUb9sGQiDevWs2XW\n7VKU5ij+bMm36H7H975oe5wZI7bWYstQScu63ZTM9PdrH5TiycFFGSVONPeyIp7Q14S+fdsc+22z\nPZ6Hpw87+ruNxRX+f9XMvTeS/3Qipwm07ErkJJJ36zXmUSt6mrNP1/ons+SlT9maVLTZoKHyXuvG\n0ad9SzRFLjAdKONJjEWSciXCOEWPpvoZCTnFsZjsj593g6kby1pBts/WovTrnOvIydxt2578YpK1\nA2Usaijqt86v0r50m216P2I3nQ7QNqddkfrNutfs/bWEHk9GLrIWY3Ip+j7svYz7E7fZIfnJswvM\nsZrd3ZJOETlb8u4SL02Pv8vhrqXIjWottiLrOI5J6YPZ/CE38kj/08mtNwGXXY2c+vr6AjllLjfn\n/BwgX5oifmq0A4b+eewgGs8TsQk3VeYbPznaYyoF666QzK1UkyxPmf7Z7xUvBrAxDD32NPPnV6vF\nuiGV1KwFEKvK7CDcMTRHKkunNFfyRKfpbGJ3VJFCryTXXruwUEJsJzafdtpMyceytO+xHDomJ3tP\ndFDUp/SKaSNOyGrJzZaO0Hs1V/KDbJc5/yqzzRKD/ia0jZPDPVLJvZWT2+9JrRJ9SLDu5GZW3w9M\nf+KHK0sM90regrHkZB+S9Dh930warueOHyz0nEWkVo32V/drnvhGU3xwe6sB7GiMOTkBx7aqA+1a\ndjVyykQPmfqpp2e5iS2tk0YrSf8wR5r1zZ5iOyVTNtmnRvuHbyZ4iJ9Ka+b1PPGusWbqKksyahFq\nDOEH5vw6ENnYTjb4+qJw+vTvBw2blDOLz8WW3xUF1xXPbcr6GCfz1IFIs2+UStbism7Omjm3tdri\n+2GP6ZL8/Sl6kCh6ii+yRJqRulov1oLRQVyJrZmFYd1w+d9mRnj6O7API3a//7+9N4+y7CzrhX/v\nGepUFYMIkUESCV69TAmZENSlF0TIQJLOQHtb42XBd1FB1BCGxAS7vzSXQjtJ90116CAocMHhOrv8\n4MqXK0pytZcXaiE0hJQgieIKOLQMtwD5Kiad5/tj79/Zv/2cZ58a+tSpU1Xvs9ZedWoP7373u9/9\n/J75HabhKDjRj6YpET2rCxLRvFbgpambAKom7wic9lkF0PssDjBRsCqA72RNdJOkUU0COP3qqDow\nrm0ngdPS0tLAR3fTTQclmo3MlR8dmQqLhPLDpEYSMYLrrZIq1Xy4z+qSsH6Y3lylPgAFo+h+NL9R\n6vf+JjVJ9awAEfUH0QSl2lXXimjDYt/hw0cGFjI8fJi1/VRTma61sXv3VbXs/roWUWh4rVavr7nO\nzx8pc8lYuZoM66jVAZNjOie/VePzzJWaciQAsG8XNRyPnPoL1uwHajJ/6byK+kihIdIwPOj4ag9d\n6U/HKv/njFUReFFSrfZDhQDvK1IQjUA6EqrUCqFh8kUbrFpSBOr48lMFyJ0MOE2aL2rTwWkrbjsd\nnA4d4lIUZJ4Fwy1q3XlnLgFpr1W5JgQtlWIJQk3MsJ77UQBBFJLsNaomDcszEV+WRpmD9lUDO8gc\nVeJdMOA+a7VmBiTQK6/cY/XVbCuAu/fee2sRV8ePHy/DzyNfHoGeeUGaKDpjhRaqtfuiqLlIC/XM\n12s0qwER9sO/A9WEOLYKHBFjVxMhzXa+3U7wf5O5zmuEqglTC6Op7lJ5pqNWfz72f0buSRBh5GPb\nKnNgFEmq/x+Vv358X1Lbx8g8TWMYVrNyLbSjwQnAhwFc7Pb9yqg6MK5tJ4GTWb1OF81KFRPjRx6Z\nR9RPww94zip/i2owlGSbzCsEhcjcoprPNXIdj6vESh9YZIohg6JZatjzdA14nDArmst6Vi/hU5ha\nzj//Equiv+oRfSxk62l+/khwf01C7VpVvonneLBdDThdbLHkryCux7U/+xuuo/Y8a/Hc4P8EfA+M\ne935KphoPhPHnxrp+VYvf6QmPAJcZArk3Jx19+KzU1ChRUDPO2Z1058fB+930ihGCilN5sU6uDUB\nxqj8RDvWrAfg7wD8uSbejqJ8EYDTyoUL7wHwaQBXl/sfC+BDAP4GwJ+gXB6+PHYDgM8B+AyA82X/\neQDuLo8dbrjf6N7AhJGf5PyfUtry8rKUI9JcIjJOLxVSS9BcJW/i8D4hZYjaljLVthUhuNOu7WG+\nkGTVuj+LNsgAeQ+N8POM3Tuho/DmKD9LGf2u2n2bFo4zM6mUXplu6vfqSJ882Op46Fh4ptukZRBM\nb7CK4WvS6VxwTxUyZmSMo7HsDjnm16nS4A2CAUFFw9/1eTkPfNURD7B8Vu1DBBRTwfVNUYRdMnVI\n3QAAIABJREFUA95v9Yg+bqqVE5w47xRMB4vvzs0daKxSslE8YLNo3OD0CQAdFGs6fQDAY0YETk8E\ncHb5+5EAPotimY6bAVxX7v95AAfK388EcAxAF8DpAO4FkMpjCwCeW/7+IIALg/uN9i1MCHmpSf+n\n873yNZEZMhxc83P0Q/aRUjSl+I9e/7/AYkmWzMiDGbUk3s9Lq1FOikrueg9qOOyzl7wjJqqAoecT\nTCLfR8darcJvFC25rVQFnhAc/XgNKwJ7rOy3Lj3BPqnGGQHERRZX4lZwozbhwUnbVm1U+6lzQX1h\nETPncV/oV9vxOUhVgMpw0FFNhtpbFDrPMWOfm4Ig+FujJk9z48cxnbbKd8fn1Pnp/XLV3N+q1cZX\nS2MHJ/n9ilJDGXltPQB/BOBFpVb0BKsA7DNWaU0/L+ffAeB7ATwJwF/L/h8F8I6g/REN/+ZQJBl5\nezNXj9UP75JLrij9IJRW1VGvH7NfC8h/wP5/b2ZSYKIfgB96FBasYMUP3zNa9RF4rUjzcliA1Ufx\naSUCzerX/Crft1mrm5EqILz00itXVQG9/l6omUaapnfUK3CrKUkZ/Yxrz4frd+U8D/bXW5UbFQkR\nvI7gNmuDvjGv0TBBe9aqUPNrrRI2onJDx2wQSLhftS3VOqPxm7O6VqjnRJGATXNRQcULbHpe240b\nq1M0+fUIsvVja60MMQka0Wpp3OD0avf/eQDeM6oOlG2eDuDvATwKwFdlf+L/AN4G4Mfl2LtQrC11\nHoAPyf4fBPCB4B6jGf1NoCab8srgNGt1idd/QMPCajWct2ODa/XQ79Ax4MVWmTiOWX1hPg98kSZG\nn4/6XvZZFZShjDbScjyjaEt/FSS9+agr9/OMRRlwdWx+/siqKrt7IeHQoVulEK+ONasPsB8d2SKT\nmjryfdTijNUZY/RcfPap8voL3TMSkHRFXD9vNGJO54MGI3A+RILOMYujBnmvvdJWU+AHNb2mMfLv\nm/9HJmuvSSoo+/GLtPtBy0IlEA764VYLTpPkS1otjQWcADy6/Pu40g+k28iWai9Nen8F4PLy/6+6\n41+xHQxOKzFCP4HPOed5VkmOqj1EocIsX8OPUcOY/UettdVUq1F/iDIFHyjh7fzeTEj/iC554AM3\nVBpVzc2bhVTzUanfa24R4yZT1zZ43nStMKyWJGIYOt+ZLsPBY3XA4hgTTBWsOuG969UaWIeuSTvx\nRV3VrKggFjFc9omh7r5tvh8VDiJ/IbUwPXaa1f0y7Msl8lvNkqolNgkQkYlO88RusEHA0rkcjb/O\nP17jg0u0PX2WKTt8+IgIJHVBaDWa0KRF4a2WxgVOf1z+/TyKoAjd/nYkNwe6AP4ngGtk32cAPLH8\n/SQx610P4Ho57w4AzytNf2rW+7Ems96NN97Y3+68887RvZENJB/95Vej1a0IIddkS37o3keg+xmS\ny+sYSutNaJGUS8k1Mj8R7DRxkWV6fPCDajjKRKn5aTv7rG4W8tFb+20wak+rENDMVkn2Rb4Rl7rw\nTJdjVUjZKVXrR+mSJEDXOp2Zvi+K615FgkTd/KQBDp7p9Vwf+Cy+ekek3ah/ZMFizZNm3sjEp2s5\n+QAWPrNGIkb9V6DaZfVQcALfMWs2rfJv1wqTpEbVKWh3pU31H6k2rdcM5hrVNTSOndaa5G8tTqsa\nvyaSz/WLEFc1LYtnXS3IbBVwuvPOO2t8dWxmvdKs9h2julnQ9q8BuNXtv5m+pRKQfEDEFICnArgP\nVUDER0ugSthGARHVBK2YB4McIpW/AKcmiZJBEKoBKQOkhKf+EJWoo9wiXuMjtHwwA7Uc3tP7jTxQ\nzUlbTYxvyoDHSnssZ+QXyIsY7+Xunvx9qdV9KuwHQ99nrdXqNSxuqIy08u1paZoqZ8ozYk3y9WC1\n3+qgqaZaNZN6QUDfGcPmKYDovTXp2oOgMusmU2HbgBcF78gDmPbF17Pr2uCYeHBq9uEMbswr02jU\n6HuggKKATeHHm+qYFsH5yOdj1KC2Py3X7zNgqm9yX4t5Lpv1VgaQT4/qZq7tHwDwcAk4nyi3C0uz\n4Z8iDiV/E4oovc8AuED2M5T8XgC3NdxvdG9gTFRngMes1apK7Hip6vjx47a0tCRLmEfAosyfDPv8\n4MMlc+V1ZAi6DINnDv56/l4w4IXCYCJfCj9mlXr5cTMRNAKBttWrSKukS8aufVPQ9G2qr4eh69rH\nqlID/U7V0hoKCHWmxpDzYn0fagCeEeu91dyk7zGq6s5+vdAqH5IKAv78yBzXket4nDUO+W4XrAoo\n8Tlo3M51/ys4raaQ7etlLqiG5DUlNdexj02+ILZH7UbBW7XtJuHH7+/JdTpXL7DBOa0RloWJdS01\n9JQHTKLG1ERjA6fiXngfyjDtrbxtRXAyK6SnIkep+OhbrZmBStfVsV7piFXzTdPH5xmv/7AYmquS\noTImlRKbfFVqs29bsS4RTU1q9mHElZrornHteBDwOT0KvPrsKukPAyd/zEelkQHOWbs93ZeEiyK6\nlaZULG5YjU8BXmRQ7I/3Bb3E6lqeH+8IbLrldd5nFb336FoCP7UBgt8za89af4fKcD3zplltn4zZ\nsHB5D04aDKIJtC0bnJ8K5k0V9r1GPmX1UkxNJmsVfvZaJcTtt3p/GaSj5vFiaZpqSRTVyIqlUtQM\nvx1p3OD0WQAnAPxtqZ3cDeBTo+rAuLatCk6R+ajTmbHLLtttdYZOCVWBomuDZiSfGMsPT6XVlqFf\nfFV9UhrCOyP7fBSaLzJKn4VnWsPA84aG/RHw+efj4ngaPq6SuA/koEPbM6cqqq3wS0XJuxWYs0wN\ngyGqoq5kvBxHXsP8GwoBqiF1rWD0vjIB21Nw8Ay2YwVjHQYOuk278zin1N/ihYcoUs6vW6RA4iPk\n9Jk0703fKf/qfJlz9/N95fleQ+1aEUVIMFGwjXxQfEb6xDQq8sXyrCoMtOxbvuXxdvjwkWBNsOJ7\nOXDg4JYz1a2Fxg1Op5fbU8rtdACnj6oD49q2EzipqaC+Ci1NbmR61EjU3k+wIZO+xAYTCCN/jDp9\nF60uIWvRTWXiUZScl1JpjlKpfMGaQUsXl4v8L8rUOmU/VSpXJtM24FlWaRDMY6kzrCc+8fRSQ6KG\nVUV7FZJyr9wqv8LjH3+aVZI6fT5Thv5ihF3Z78HCjxefmVrSjFWr46q5i++AbU6X9/MVDy61wffg\nTW+zVkVQRuHaXjPYZ4P+IPX5eJOlzjMtpqs5eWqGW7Q6oHSt8DkqQGv+WjQvFqya8zq2c1YF8Hjh\nx/dVzYOq5VVm0FZrxg4cuCW4P0G62DepQQ4nQ2MFp+J+OBvAzwH4WQBnjerm49y2KjiZ+YUD+XF4\nSVGP+zwjMv22DX5sK1WDUOe0l4Qj4PASNsEqcjKrhqeb92uQSVws/VBzXeRPoe/IMwhqU4wW61iV\nxKvjGzn+mX+jfR4m1WsSMMcfcn7kSPfjownKZPIXWX2Jdr7LjhXAo6Y3rb6h5tq2/E9tU/viGbLX\ntP17U221K+dRSLnYjbEG5XhAa5qDGmhADd/POV9rsSvnczz8nGhbZZqlthT1S32Bft7Xzcedzoyk\ndfi5UVyfwekkwQnAa1HUvvsvAN5SmvWuHlUHxrVtNXDyduki2IFMzgc8dGU/TTAROHkzQ8SUmhgD\nP3CaZsiQKLFGJh0mICpTmrNBxnaf1f0fPE4JV53kPtiCYeUImFIUXTbtmFbEfI+68dX796QUlDfx\neb8VmaWCrEbe+XwtfWb6hBR0qWnyHZ3tnlufkWPvfTL0I+k74f0Y1BBpHarlcD54s5iaHbV9Pf6z\nNjiPPEBTANL7UwulgKCCjPbFa2k6x7sWa4iqISmwNkVj6r0iICvGqbB4LFh9DlZzaT0BEpNO4wan\nuwE8Qv5/BIC7R9WBcW1bCZx8CCmBqsp5isBJmS3NHF4j8RFNzL+Ykf89mKhUzrbn3DkeaDxD8x8m\nmfSHy+NagsaHMkcguWgxgz3HBp33eh6d2GT4PjJO++2vq56rMPFF4MRxmrICOOpSeuGD0gUQNYiE\nkr/6XLryvz6/mhcjyXzBKqGBfpFp11bEdDluUXVx7RP/1/ekod9+nvXkvEhT16rlaj6O5mFXzvFa\no57LZ9U5F4W10181Le1GAQ0egAnUFIB0Dl9uQEfM8YPt7N59Ve2b3y5BEpsBTjPy/0wGp40j72PS\nyLDbb39n39leMEh+YFqlWhmpRsXRjq/O+a47rsznTKsvw84P3TMf3dezOkOIGNWC1RNeI6lT/UIR\nE/VAqMdoyqMvYMaqcjpeuyBD1MAJLdsTmTALSZtJlnV/ELfTG56NTNObG+lnIzhRg+RxDeXX96wa\nA7WL02wwanK/VUvON4GTahw+yGBOzuX4eMBoAieOwy6LfVsduZ7v8CKr/IPRnNP3rwEjCgB8t0xC\n1vnPMfHvvCXP7s3Yqonx/SmgalAQtbG2pVTkONUDaooFCHXV5e0SJDFucHo9gE8B2A/gzQA+CeB1\no+rAuLatCk4qmTNn5vjx43b8+HGpUMCIIiYU8oPyxTKVmdBEwg+UYbOReciXE/JgQtOFSpQESU3y\nJKPnebssXqyNknSkHalm0ST9kxFqXzxD9Lkz1CAjPwjbVabds05npjS1aj8vcNdOWbs9LUtoPNu1\n76Vq1YpUAFBtQv1eGvLtGbRn3nPBuWSszAXSvtFkpcJFFI13udXfUZNGt1fGW/veDf4nmERCDu/h\nhTHVJpu0Pr571aApzHhQp0CgggKFNX8Pv7ovg0mKQrvFt1rvU1TWaqv7oTYjIOK80vd0NYBzRnXz\ncW5bBZw0r6meM3Fff8lnoIgIOvXU7woYjZo0NGyZ5qDIFEizj//QNciCzGOf/I5CkP0Hyz4oc/V9\n8EyVmpM+y36rM1pdCt3nQFEa5nMs2uAY+fP1OXU9I40u02K4XpvyId8Vszl+/Li96EUX2iAoRePh\nTYQKSLzvsHHUfd48RxDvWOGrYqCCMu8PWywUNN2jLe2ybQZ+NPmNXmIVuBCs1BSrfiLvDyKAaL9U\nM40CHrxPUefVBUE/KdBwLmqJpOmGNn1QTfS7HrRDYTOD0xrBCUGxV0gR2FF1YFzbVgAnv9RCpzNj\nu3df1f9Iq+oPBBsmoSqg+I9oRs73gQ4zsnnpssmvouHf6jvpBtcoY2ky+Sh4ec1OmYzvPwMGGJmo\nDIbP5k1NZJy+jxpNx5wW9dHQtKRAqWPigb1ot92etj17XiaRljQrKTMdBk70GXWtnvcVVVyIQr6j\nfWrOjcyOHP/9VqUmKPDoPNF3phGZfB9ec3+9PI8XSCLfoGrLnOu8P6tYqAmOgDEn/3sA04g/XZIl\negdTcn78juu5TtynWpa/ppp/BKJs1ls7OH0eVaHXB7ABhV/HuW09cNIlMFg2yNvSI/OClwJprtEP\nVe3qBCZWA9ecmCamqaCijnwPNNFHGpmx5lybXSvMIbOujUhbUL9R1wZNQz7YQHOZZsox9MxXr2Pb\n1KAYxaXPG5kZj4k5z2uj6qtokrKbQp4jIOGmjPpZwb7I3DssAMVrXhotqmZU33feh8+rJl8/V9WU\n5mv/RfPuPqtrqfutMmt7f2vb6kIU56a+D58D5jUiDdmP+u/7p+d4cCIgFlYRv/zNRi7lPi7aDLPe\nSa98u9nbVgAns7pzdH7+iFtePfo4yByqiT94Dh3si1Y5m5WhMH9oyqpyMT5RUT/eZ7v7qDSsTDvS\nosj0vKZDRqU+qsttUHPgdklwD80tokalScdkxmoa4320qvS+hrY1jJ1j4esQdvvnVRpTxNDo49IC\npGSqrNARXav3+Rm5Xv1V/lz+Vo3aA06Tn40mX50z2lde6zU0Ck4K/F6L4NziXPAAqeDEOdIUSThl\ngwsBsr8qRLANb4ZlPz3oX1j+PWbAdRYLQDqvuq5dHd85q6IoYS9+8UVDgWcralQZnLYpOPklMJaX\nl0sGR2YWfZRaCJOMRMFKmQfNWzSH3WDNZhaCxVGrQmZVSiSjiRiKl0YvsTgwwmt4/M17Tcm5Fwmz\n0oAAf19lGF2r1qyKzlUNRpkO76vnn2H1CgQ8x2t37MO0gFNkSuP4emnba2XcqO2pUMG21MyopkyC\n0YLcI3pfx6wo99Nx9+SxnrTFe9PMSoFA/U68zge/7JP/vdao2izbj7Rhb6pUn6KCqG4tucdMcE/2\nd1HO13d9udXnrY+QZJWWKXfegtX74TVjGNCy/fvnQl6wFX1RGZy2IThFUtLy8rJoToUpr14pIvLh\nXC/MRE0Zqi1oUmLEsGjq89Kgfsx0pDdpSffZYGIt76VSPc2JypynLA7/5jN7G7+Chfc7cPPMs0la\nj8DBgwtzWqIKFItBmwyhZ5CAB0LPwHR5iyaNgxoBmbWPyuN9eW/tjzdjaY7OpVbPJYtMlhQOOEZe\nO9Xq3QrIbG9/MEZeuNC1wjiPz5T7aRi4AoU3zWq7PiiIz6LPOeXa78h1nJs9126TGbJpfmh/Cy35\nEY84pb/iAL/9DE7NzPwNZRj5GwB8QX6/AcDrR9WBcW2TDE7RRFxaWrKlpaVaNYJq4bLrZaI3BRio\niYMaEh39PqrJM4rOkPb1Iybz4281z9FsNcxcQ+meK5XO2uBaS2S03qdRVQKvmD3/P2qDDP1SOXcY\nMPNYKpnQXrmnOuq9P0PDv5vajBg9GTGDCZKcSwarkWo+2EXb9Dk/vJZaiJr91Nzm+6ralp8DCoTD\nmHTXqgg2Dwb0o+oxrcIRmSjpU7pc9p3lxsALBgRInhOZH1UbGpZGoP8vWP07mJLf0bcyDJz4bDCa\ncufnm9dsm3QaFzjtB3BjuenvGwHcOKoOjGvbSuDExNsicS/6UPjBec2GH1kUNs4PTNfd2SUMRuu3\naQSWN6Ewms33q2eDhWabpPWm/aop+JDqCDy9acovnDeMwfjSSir1K9g2hW6fL31XRlU4u4uFBT0o\nNSWTzrp7cWOYM8GC2oSfFz4hm8uTsB3Nf/PXNvkyo2U4esH1ZLIR6EYmOK087sfPv09qaNfacHDh\nOCrARFXT/dzUZ1LhJorK83OP4/lCq/v9VFOMCu56wO1YVcSZ+2FvfvNb+rxhK2hMpLGb9bbDNsng\nZFaXkjS3qW6e22eDocjUIpRpRIERrws+NDIWfpyaQc88Iv249gnj0H7M2qDpyJua/McZMf3Iz8CI\nOj8mkbRPpnGf1c1MHhD5DOqvI6NSDUjHyEeC0b/hGXIyoGVPe9qzrUrC1FB3NTdGjF7fAcHEB6RE\nz6PVOfg+tTQSGW/bgFPdGHuGzbBtrfNHgPT+x2k5X9tkn1TDVQ3DLx3in8cHMSxaPK+9mbcJ8AiM\nU1asFebXsfKCi0Y4+mASCnZ6T/9uPfh6IbJldUCbsiLHjGDVtic/+Ts3my2tmTI4bUNwMiukJJ+U\nV5c2F6zOJCl5ESj8R0omOsz5rFF+Kn0ScFT6049JmZlG1XkTTsfqxTqVCXzYPU8kQbNvBEYPony2\n+6zSGnmvZDEo6Hiwf17K9hFpymR3ybX6vNzHaDsfoKH3JMPV+0ag1xT4cY57Hg/Gc3I+76e5S+pX\n0feubWg/dWmPnruvgp9/VgIRhSN91z6seya41lfC6Mq5TX5XApbOeQV5RvY1BdbwGehXZSmvCBhV\n2GmyVjT51zRClPOmEnCArr3xjT+/2WxpTZTBaZuCE2lwiQzPfGjeuD74aDoGvMoGGWH04czZINP2\nEWzKjO8QRkFmdL7c34fnaoKj16y6Nlgw01eCZj8vtTgSS4FzTvpE0xwlUWX0umyFXjPtzvPh8WQi\n18tv/7xNZXyUsep6TjpmmgytTK0p34nMUYNbFJRUc1WAVW2NQo+Oec8KxqjzyZvtNCnZ980LUL6G\nY6Qls9+rKZfUtsKnyHSEKNdPgUIFFvV56TvWElcK6pzb3kfrwanpeBM4zcg1KsBohGA1x0899d9t\nNktaNWVw2ubgtLy8XNbi0vBWb744Rya1Z4I+2CECJ5VKVctqkvS0GkDEKMno9SPzEqxqLL4KAKVo\nlY6pLSlIRPeP9qsEr+aYKQNeNGRMCJIakearV7BNgsdRGWfN7/GBBBybKauPxZRVPrAb5BifIVqJ\nlsKFD3AgA1bmqNf4dzUl/3uBRIvgRgAQjbsHBi8E0Izq30kTgEWRinpN9Nu3wzHpWZUasRKoMt+M\ngT0aoMH5Ou3uqcDirRX6W8FJ+6vXM5Kv2Hf//fdvNltaFW0aOAH4H6O68bi3rQZO9RDyKYvNBgpY\nBIPIFBR9KGRmGnGm+/3Hyz54ZtHkC9CPTI/RbOEZmg8G0I/ft+v/j5gkx0K1Ec078avBTlk910f7\n40vXzFqdkUxbPRqwydykIELGq4x7Sn4rwKn078FXA2A0qGLK6hqDamkqtLCdYet/Mdza3yPSvDVI\nZ5jWrvlq1CDOsLo26oUCAnQ0thQQulbXTgkGCixqClYhZ9rdq2tFHUCOw5ycy3nhc/+YPnGtVVqo\ngpB/hypc8n5am7C47p577tkSgRGbCU5bNt9pq4GThpCn1GuoNkDAWrSqgkLbCoevd4R3rB4BRUDS\nTHplCpGDO/rImzQtMvomsxTNJ/zA+XwaJh0VLiVTUCbomaQPnmA/KLEzOooMnMCsJiWOmUq4CmRk\nLAou+921qiGwDUrgBF/PZH3SMJ9LGSf9JQQn3zeavDyI8V0qANLf4c2uHvC98KBmUD6n1jpkdGGk\nbfv1m15isf+FZbvog9FkXz9uWmcvWf3ZvFCl80jn/rCEbRUotO8qECqwEnBpMmz6DjT4ZZ88u4Jo\ne8uElG8mOL1nVDce97aVwQkowpMvu2y3VcyXC+spaEzJpFcpPTJztKyy3UcfDk0K3ul7TPYr4+RH\nSHu+tqnO9MutLrWT+bNNAuas1ZnhjNW1RK0zN+3a9OaXrlUL8HkNsgmcqHXw2bzmEK2NpMEYHbc1\n1UH070WBVwMEtFQQQavJ16HMX7Uor7EoeMxZHQAvCZ5ZBY7rrC68zFpV486bVPfJs1xkg4VWm5bQ\n0PfEueODJth3tnWW7Nfxj4QcDZi5T/oeaXpNgpZGRvrnUoDie4g03IWgr2y7XaaUFO1OejJu9jnt\nAHAqzHrqpFXGrMmPZDgajstir/ohPM5NepWsmz5Iz8gp9auk3rFKayOwqLOb59G8oZK7fohkiApi\nM+64N08qU+K4kGG3rGCEEVA1aXsaBUhJnMCmYM/j3jTIe8xZnfk1AZE+m0rePStquvEaz7TVz6Sm\nLwUX7WvHBtflohbiAY4A05Pz+D/PP8MqsFUg4r3ZXw+Iw0DaA7T3/0Sg78GFQpUKVCo86TzaZfXF\nG1UQ0Tm6yypt+0lB32lOjICLGl/LqnW+/FhEOVK6KGjaUpUiMjjtAHCqqpHP2KBZgtXD+cHNWJWo\nuGB180dkauA1WsmBkjM/DjIDakv+w2M7EYMmcGigxg02WAx0JbCITJne58Xn4EdOpkgmpKYxZdzR\nMx2V8V5056tPaZdVTFMZMoE5KiWkDFwj6fjsqknSV6GAwXdzsYz9saCNa21QMGm6rzL0pvcbAaQK\nFTS9UWP1pj4PYAz4UKDw945C+5sCMNg31UZUm2N+Fn1afF6+FwWtc90zXitjzNwozjkNauB4RZqR\nPuecHPMmRX7TXAqkAK9nPvOcLVUpIoPTFgen1WR9c0LWGeA++ShpV9cJrwx4r8XM3Uua3iSo+7wE\nrtdNub+RGYTLg/uPVE1O7SH3iJiUByd+9GSGEVOLtEIyIx9xxXvMWpzIS3OiAp76HiINqXi248eP\n2wUXXCrj4xOZaXbUsPnL3X1mrFo+Re9FsF9pGXRqM15j9JqFCjLeHEbfGvvKNr1Zq2OV5uHHR9+5\nL0XVdW1rn/wc8UVp9ZhPlPVzLwI71WAj0/PZsp+/q7yk4WbcJqFItcF6ygQBaatUisjgtIXBaS1S\n0NLSUrnAoDKayklaSYmRg1ilVZVmo2g7Dww+z4dM0ueC0PfSdcfm5N5R2K7X6Hie9z3MBucpiKrZ\nToFQn2Ol5ElWf1BTjhYu9dpAEyBPS3ueSXbsrLOeK7USz5C2FciPWt2X1g3uw9B1mst0efVOcI2C\nNoWYi+RZCXgUhMggWUGj5+6/1yrtUu+jASY6RxTQvbbs56AKKxFARH4b+vmaQNkDq0/JmLL6N/Bh\nq3xxTVqQNyd35Te/B8j9PAj556d5j89Qn7OTbspTGldtvS6AVwO4A8Dd5XZHua87qg6Ma5sEcFpN\npWGVkI4fPy6TVD8oTvKL5eNWcFKToP+olOkOy2vSj0oTab3UzfbpLG8CSs/gPBjyw45CptXMuGDF\niqoEZl0WRMGbINNUnJUMlVF8PrBhRq7T/WSgfrySVb4uD6IdA3qWktduvQmS+5ljFN3nNHd9FOZ9\nsZzjV9/lGC5aXQDRMeH88KHcu6wO4D5xuWtxukHHtePbZD90tV//XBpsolqMPgNLbg0y+AqchmnS\nTRqjn8OVNjyo+bekHfZLg3m4aoDOg47pgpZvfeuBLeVnUhoXOP02gF8G8L0ATiu37wPwDgC/M6oO\njGvbCuDktaqlpSWLpS1lqtEHrx9pz+rMShm+hm1PW93EpRIozWsquXpGz+t8XzXKTAEj0gi04sO0\nFcyKH79nJBFzUb/Iz1kliV4kffDPqUzEMzI/rjQhqj9Kz5myykmvz+jBmKHFnAuRcMDjatZjkIR3\n+PtrqQ2w/E7UtveNDRNSoohPvbdGGHpz6FzQruY26ftTQSqaI9fLcYIaNTy/onH07jQQqEkQawLs\nSChjmyoYRPNJAzoI6tRKi/NbrWLV68OHt25FcrPxgdPn1nNsUrdJACezwZVuV1q/Zffuq+SDUgmN\nzIVMl07zaKVQZT6qXZBxqtmkZfUPmh+4Mg6aUTyjpESrPgQtDbNfrpuxujZzqdWZyLS7/5Q8r0rm\n3sRGxl9l19cBWTUg3c6w+nNzTH2AhD6bVjYns6EGxbG41gbzpBT8mkChZVUItgK7gnCxVrmDAAAg\nAElEQVTPBlfMpTCgOXBaIknfE9vVZSi8wMH3G5mE9X3TFMb7MzDnPov9LCw47M2p2o9ICPHmwkgr\nY2AKx9aDod8ijWiva1M1PA9o0TcQCQT+O5qylHp2+PCR0Ke0VfxMSuMCp48C+I8AWrKvBWAPgI+O\nqgPj2iYFnMyKSXf48JGaZFSBUwFABKfDh4+4D5dSozIigtr+4MPgh6n/K7BoaLR+5Bda5Dup+yc8\niNFUdJ/F0VUqYaufhNInmVaT5Ewm5/OgIjDW56FZ0JtjlNFznzLYYcU8ybD9va9xDIjX1JnS4DvV\nsT/XXctn8PfSHCyCz5y7TjVganRtqwsK1byra67apzmrzy8/N9Ssp9Xd1dzqfTjU4HQ8F21wPHh/\nDyDJgGcF49K0XAb7PiP/q1+U99C8uWSVbysy9Vbg1O3O2j333GMHDtwiz6v36rn8xeJZtpLZbiUa\nFzg9FcDvAvgXAJ8rt38p9z11VB0Y1zZp4BRpSXv2vKz/Ie3Z8zK3TLuagCital07MoeeAS8OPnAF\nFf1gaCP3juwmkJuxWDtrW2FG0si/CDjUnKT7L7ZBph1Ff/GjV5NkFEjhwUiZJduixEugO2p1Ru4B\n5GzX7yYT47dZlf1Phu9XadU1fNpWaBpvtLjIqgoFTVFumhRMgOKYsA2vYei78mZBfYfq24nWdKJ2\nqVqDL1RMTc9rrJHmwvGJAIzzguZmL8T4sVULA4Fkxt1T70NQ7li9sLI3g1brdkXmt0OH5i2l4ptp\ntXp24MDBYMWBOjhtRU3J01ij9QAkAKeUWxrVjce9TTo4+Ynb7c6WARFqXlITiDJrL8HTtOWl0oUG\nRtTEILxDWgMMFCwV8GhS8ZK4Ap/v72wDE/JLY5Ch0WSk4cn6P5+B/fBJnARXrzW9xOqRhrvknroi\nrmoAChAaYs1n3if9Y/j/LqtriGqC4nOqOY2M3i9bode13XVdab9lVUV5r2HQt6eg5cGH2q1ee4qM\nh74fAoDXXBhZyfnBvs65e2soNUHDgyqPU2BiNKKPMI22JnBSrdILdnttcG0ymm+nLKXpvol+eXnZ\nbr/9nWXh5ur7abVm+se63Vlrt6f7fqbbb3/nlvUxedr0UHIALx5VB8a1TRI4mQ06PCPAOnRoPvi4\nlGEsWFFVQaVHZVSeQUS+jwiwOlb5gFRS32uVROtzYxR4fOgymbM3syhAROYShthGAREeXJR5qZ+K\n5pgmoFRmH43xMcfEmEuk2gvBvClfi+OlFSO0nwpA3tTnTaB+LDT45ezgWk0SjcBJ78l+Hg3GwV+r\nG69XbTUCgJbV0wP4/ig48RlnrG7anLLhyeBRyoA+kwdsbzJkwJBGTvr35+cM50IhJKTU63/PRfrH\nYF+XlpbMzGpaEretGp3naRLA6f5RdWBc26SBk9mgw9MHS1QTlsyPHzwZ8ox8IKpB8eNR/wE/ZDWt\nzNlgyK5+8P5j9iHS+vGpCU33k7HOWF0LYlQXP/xzXf8jICEge9A93yoAZJsECkriXhtQJtpx7e13\nY6zalJocuZ/tq/TuGblGc/F8MkGOm2fqM1YVQL1B2qEGHQkW1KgiwUHHVLUNgooGTnjTrPdFRbXk\ndNwiAYLg7N+fmoPVZOuBtClwhFUgvHBzVN6tasgca59Dp9dGAQ86x1eKIK2vFt1uTzcCTganNYIT\ngA8M2b45qg6Ma5tEcFKKpKnK30SpklKm/xAYMuzBix8jr/WagvqptEglGYlK7WT0yjiVGaifwDOt\nvXIOw4H1umvdPSOzm5Zq8kyITFrHR1d6VaD2EnEEWpGW4Vdy1Xu07aabbpF3oOY3mos60q4+l4Y/\nXyz30JDoyMenS95r36ME2VmrfEIEFkZc8rfPe1OfEMeW+/c23EOv8X/PlXOi96DP2BRa3zXgKdIn\nrZk3a4PalgpYvu3I9EjAUSGnye+p+1LQFudpd1WmOu9v3qo0LnD6KoBLALxAtueXf4+PqgPj2iYZ\nnCITX5Hj5COm9GP0TEElQv1QyBibPvozrK7daFhx1wpfQcQgVdLWPirDVybMckpsJ5JcI4ZASTpi\nEsqE1HcT1fuLap/RZOej3ZoYaGSaLK5NqVc6wNUP9uzyvlreJmLm1KjUKa9MVXOitD/32aCJjECk\n9/Kar4I4gZ/nsA0/Bj6STvuowQJeM+pYEe7urQAKemxfx9f7mY7JPViDLprPqmEdLX9HARxeO1Nf\nl7cOcG5qYEU1j4rkao5b1668co+1Wj1LqWetVs86nZmh4NQUqbsVaVzgdAeAFzYc+4tRdWBc26SC\nk1fp2+1p63RmSq3Jf+gaKRUx/+vk41H/h2od6tiedW3tl2spaVNDIHiRsQ+LyKMGppKo5qTsariu\nyWcTaT3XC4Mh82iX+9lPZTx7g3t4X4QyXA10uKHs73UyjnNyTcF0yYiK98lnbVkMTnpPNclGz9q2\nOqB4xqpasL4Tmk6btJBojIdpL3oeAc3Xr4vMdi+2CohoRuUz+/YVtLTg7VGrA1ykIfp3quZTvgtG\n8rEPOoe6cl6U0+XznIoxarV61mrNWKczY7t3X1WuKFCf38MAJ5v11ghO223bKuBUn/jRh75oVQQY\nj1Pb0Q+fH9HlVgHNglUre3atWqJCJUrvf+I9yZAJAsdkv3d+a/CBD5DgvsisotFuXmPU/yPNjNqS\nOq9n5Xwf7egz+zWwQTVNakzK+D04Ve0eOjRvS0tL9qIXMU+sKQKM+7xG2lQZYdoqs+l9NujbUfBX\nc2CkaXtfFbXT6N5+nFfytej70bHnO9V5sNfq76NtRW07LQnEOa1pE9zXswocvTlVc9tmrFj/jMee\nImPVlvtpUrsfnyra89//+zPKNZbYn2KeFCDVk/NXDzg5Wi+D00SSTsxC6iomdKs1U/7fLU0Hausm\nM/KVAKIPiyt8RlqVBgP4a9XU4fOE1IwULRFBZueZo5oZlcGqM56mNR8pd8wGI8nUPKZmLral5iZv\nVlJGNOX+V22gSZMYHG9qvlUocdddRzMXgcZrSgRDBU5K7PusbvrqWFVpwZvlFEx9cImOO9+fPjvv\nd4oNRrtpcEBTDbquVWHzM1bXOCJg9aHaXji5xO3n2DAMXgUGtTgQmCJt9EVWNwdHEYR+Tivw8j3p\neLPcFkGpeM7VAk7Oc8rgNJGkORKR/2lpaakEKo0Io49GzRNN4baD0twgM45ynmCVpsR8Ji8psw2a\nwjSqTRkqmRKZKRmj+jOOWcwIO1b4v5qkewU4gpQCj/dhdK1aDXjB6iZTStQ0EUbgpDlUvj8raRcd\nub8HFJbJUW2hyfymwEVTaZNvajFoUwGhZ3XtU0263uRIBj5tg6Ci49ekhfs++jGMgl46ViQpR2Op\n/0c5Wim4Llk1JyP/mgpm2kc1i0/J/RVwq8jGlKb7IeQ7gTI4bUNwUmqqs1VfgJAfhK/wQBDhx0Tp\nmteohqIfHBlxxMS99O0/cmWKETiqxuVBk8fVPKlMRhlDNziv6+7hwVfB7vk2WDtQfysos386lv58\nlbJV0tZ7qn/FS+FaF8/nSmnyqY7ZpdZcPNdHQkbMW02DWm2Ez0zTKsfJh3Yr6KuWrPdp8nV1LAbz\neth1bCrmPPaanA9SUd+UzvWnyPth3xas0ryivqrW3LHKJK77fAUXjkchOLKQ606hsYMTgFkATxvV\nTTdjm0RwWqsaf/vt7xRbNz8I9Vl4pq1SLxmq5kTpx6RS4jH57c1E1J6oIUHa5ofvqwnQ3xWBFsPk\nNXhiQZ6tyQdA5t2Wa3x/fcivttMU6eWZYVeuJSNS06COZ8EM2+1p63Zn7elPP8sqwGxaSiICXQ0R\nVx8hFypsChzRunZe0ND2tUSPB5oZq3yavn2NRIyKqOr7aYqG89dNWeVbIqj5fnszoD4D15diWzMW\nV2NnhY73y7n6nTStXuwrdej9ulZf56waq1arZ/PzOwuYzMYMTgB2AfgsgM+X/58D4P2j6sC4tkkD\np/U4QJeXl8twZU2k9WDlzSV+n4bkNpmiuBS410Q0yGG//K9h4F6L2GdVZJUGIdB0pe10XZvcFz3b\ns901lHSVMe5zDM7n8vgx0DpqZHQEuyjCzxc4rWoicqsDpo6fSvAEKr7PabkXzYfKPFn4d8btU3Ng\nx1ZOXub71WfsWDzmWqKKY0OfzVGLSyD5dYv47PTNcB7xebXqiNfSqN1p/892bauZLjJxsuJI252v\n77xtg2Ok81E1Kv3O6ikFW20F21HRuMHp4wAeA+ATsu/To+rAuLZJAicfodfpzKzKLl3kPnnJnwyt\nyWzmP9CmitFkZNQarndtNpXl8f+rWYrHvUZHLUQZrmp5L7bKnBYlFjNC6xlWMdKjVmlRqs0wJ4bM\nXBN8tV9ktNSWNNpr2urapB+Xjr35zXPhO6xKUHVk80tW3GcVkLIvarqLwJnMnf60Raty0rwmo8Ab\nCSQaVNKVe3HMCR4MxdZ22lZUYud8WZCxOmaVoBPNHe9DjZ6V8zMaAz//GBwU1aJUzX7YuKqfjPlV\nKphE3wHnspqW5/q187Z6BN5aaNzg9NHyr4LTp0bVgXFtkwtOq4/oOX78uJTc50eikXheA9kn+6at\nqsOnax1ppJKGSEcS40rgRMamPgfPmFQrIQOIQPRCq68Fxft5f07H6iBziVXM0Zskp1xbCpSqPfj+\n6Vjo76qu3YEDBxvfdb1aN8cEVplEI0320uCeHmx8m00AoAV7OZ7UyHQeHQ3Gzc8DBcNdNjjnlLE3\nafVRpB/7Ro2Jc2nOKiFFAzL8mKlQQoFCBbAI2LzpUc25WljXg/mUq6OngpWaR6u2V8pz2i7a1bjB\n6T0AfhzFMu3fDeBtAN4xqg6Ma5skcDIzqVy8uglclTdpClJQyVMZLBmTOr0jZse2fQ7RTPmxvk7O\n02Na1cH7mqJMfJ8I3LVBRz7vWddOBhkhzTT+WaIabjNWaVcLVlUO0DqCc9bsy/EAThNadV6Tj6FY\n38e3ySjIYcyTz86QfGX8kP40vVP69CjQ7Jd7KqAzz0sTgmly5f09o9YlOiIG3rW6n1HNZ2p60/O1\nYnnPHeN71mvUhLzfYr8mr/X918hML6SxbxqIU5kod+++yubnj1inMyM+YAW4Yr7W126K5wfb2S7a\n1bjBaRbALwL4WLm9FcD0qDowrm3SwMnMwmUyInCqm/MKKfP6639hYN9gkIOa+4YBhDd9eEmSdnre\nQ4MXvMYV5cQoqGhh1oj5s70IdBbKtpKc26RVnBXsp/R9zKpgCzI23j+KJotKNw1GqHU6M+H7K3yF\n3k9BcInCyfU9RAsC6vX0S3kA8FUjFOiubhgzmjrVJBvlzvFdrAROx2ywgoRqQQoQ1Ho0mVjfMQu8\n6jgRPL3lIHp3XvvzuX5e+6uD/qFDt9qhQ7f2c9gK369aMOpmvpSmxaRbCHP++64WEo2Pb0UaGzgB\n6AC4c1Q328xtEsHJbHWBERU4VR/UPffcE3wUulEL6AgjU+bqq1wTEDyz2SXM4BKrh6hHQKZmIC9p\n61LoPIeMiT4fNdv55SOaAFQZ2eVy/T4bNLfouWR2fB5ldlrdO2LCOgaDzMWbavbuvVGuU98WUwGU\nIeo+ajPa711WMUUNmqDgEWkQ3gzo349GKk7JNV7z0WvPdf1qSkPoWFVbsWOxqVeFE2pObavMm3pf\nreSh4Ka+RmrtXmO6XsaWY84xZJ8VAC/p/y7yDCNwLCI02+0ClFhLb3l5ubSOFO/Gzw+/8GCTcLOV\naNya058BeMyobrhZ26SCk9nqbM5nn/28/sd46qn/rjQZNJn1mhIjmxiHagxegvemMeak0D/hTVEM\n46WvgL8j7Y4mnGM2GFlHTYFle95ohcZ0h8WFYWkmU+a1aJXm0SzlVgDAMTjDBoM2dFyuM6BjN910\nS1+aVuEiEjjuvfdeGX8Nv1fnPPvHfZr/s2hVQIKGdEdgr9qSvpumfVHIPd+fXsPAEE09OGYVGBIU\neMz7rjiXooRmDyI6Nh5keVw18E45P86yQSD2c8U/E+dZk4lV7+F9dcU8YbKtX1mgSfiMypatJvR8\n0v1T4wan9wO4v/Q9va3cbhtVB0b2IMCFAD6DYjn5nw+On+Swbx559b9iqpQue1ZETOlHR42JHzCZ\n/THZRyauDMbnPEUMjQxQczwYtk5fUOQkjsBJtQi9z375fYm05cFWTYqeORNcmR80TNvTUGme56Pq\nqr9nnHFe//0ow2gq4lmsasw2k7THFVXZ557VNVntr9f6mkya3izGdxGFVvesvtSEB5I51w7nTJJ3\n2RSWH6U2qKlX18by76VncWUHBeeuVaWPdM7qd6LpAfR1+cTdqGpGBE6cX+r7q/rCaM2oyksEKHre\n4cNHVgSerVB/b9zg9Ipge/moOjCShwDaAO4FcDqALoBjAJ7hzjnZcd8UGpSwKJlqoiXNTxouqyYx\nBkN4k0Qkfd9gdWldI+YuEaZBafvDVgc7/7ErqCmYKcBca4OSs5fClXHxPskqUCSI+Hb2yTN7DVKX\nB/GSdNeqUHWeU/fj6NLcTe+L4FSYZnVdJ+9Tud7qQQAz5fNFixiqSU8Zrb6r6bJNFjWN3j9zlLw/\nKyoBFI3fSpGcTcBKoGgb8CyrCwDTVg/W+A75zfGP7jNjgxp1x7VNcNE5uN+q6E6Ogc/PKoA9pemB\nIAe+Ly4muNYK4ytpWCvNq0mjXL5oEJy+D8Ad8v/1AK5356x7wDeT4qrlNLtEEmtT6HHkLI5WS/XM\nOpIs1W+g/pGm0HBqAWqeUlNSzyqzHkGW5kkPdApOnfI6NcvMunaja2meVAbkz/FjGAFfJ4y0ihhN\npf02MXPVnop31W5P2znn0Jyr2qUyU58rpGCgyb6cF/TjqK9Nr1NzMY9p/cMo30q1P9VkVcjQe2i+\nmQ8PJ5jouLes0OzZP/aN1RqatDcf9EO/JtvU+yh4nmt1UCvWjiqCIKp7sMivvuf1gMhqrsngFDP+\nvwu2vx1VB0byEMBuAL8q//8nAG9z55zksG8ekdnVQYTJhvpB0nkflcrxpjPvLCZT1hwlMqZFqzNO\nlTyjGmrecTwt581YvUaZMgYyg2+T316SVae1MsiLrZC4Iz+cPiPHhs/EmoKRZqCMuEk72Bcyi2Gm\nvkEBYKrP5A4cOBicu0/6qGZNzSPSudCUMK3athdA+LzMm1PA08r3vm8EJjJz9c/QRxXVW+zYYNWH\nqG/Trt2uAadaHfh0HjUFXfjIU9VeI7Nyq/Z/EexAk2sxr1Oa7mvP+t4PHz6yJvPbaoEnm/UGGf8p\nsp0K4BoAbxlVB0byEMBLtzM4mVlZldznB5EBdMsPRytBK8OdKzdlbFHINKOm+BFrIIFKm8O0EwKa\nmlXIoCgBK9h5cwwZw09LW75vOg7eR3ax1Z3pPoydv6khsC1qX0et8qcowHIco2TL4auXxuBEMBjM\ndSsivIZpbKxaoNI9GXukRUXacMvq1Q94TmSS1THm3PFCDOeYah8K+FPuXI6dfzYFDR8Sr2Y5ryGp\ncKM+UQ3I6Mn5nEtNhV8JTovW6cyUAS2Dvlp97woeHrQ4D5rmyGqBJwdErAwGHx9VB0byEMD3OrPe\nDT4oAoDdeOON/e3OO+9c9wvYLLryyj3ygff6zKXV6pUO9yjrXn0OCjTqNJ+2ej5KV87RXBmWaPHM\nQcPSufbOjA3muETtUyr3jFT/KhDRic9+q5NdE4hpYiSoRmOjq+Mqo5uy+nLl7Mec1aP/imtWWobb\nrM58rrxyT2ki6lhKUzU/Bhkbz43NsTTlseCtgor6jjgW3snv/UYEtb1W+bmi99GyagHDJnMrC6xG\nAOJNdjoffO0+jTjV8y8M9rXlr5qLqSk3mboZTHSfKbCeeup3lWZYXqffimpslVCyUkmy1YDPpANP\nRHfeeWeNr45bczoPwLnl9hwArwbwyVF1YCQPAXQA3FcGRExtl4CI2DS0KB9cwYRbrZkSnLxWoyCg\njEu1Ju+DiZiSgoMGXihj67n7LQQMatHq0jWLlXpmeZ8N+pvUSX651f1CGp3lmd91wvSiZFUyoBkr\nzGdtK8yOcSIwl+Imo+HKt+t5nww9jhjX0tKS3XTTLRYFYtRBpni2a655o9UZp5rDmLsVaVUEuShZ\nddqqEliqPbHKRgRAquVoP/2iiAzT16oUHrSYeOvnpGq0ak5sWsuMc89/G0flWs7vo33zal0AirXJ\nQ4dudd9nNb80Wq86trgt8pmaaNzgdBeAO8vtQwB+FRO4fAaAi1BUT78XwA3B8ZMc9vFSFI6qE9x/\nLFdcQa3Km574wfoIJJ/b0mSj9x+l+hR+2B2nJN8kqXotiZJtx4qoP4bDa201VizwbS0E+yLtyPcv\nYjSqjXGsBrWDbne2D0TLy8s1Dedk1+1R4Kr7GKklcUyjHBwFfAVbjUbkuZ6BK+iouY0J0U11Csmg\nu25TQFIzm74LTRyetXgdKo69RnhOBW0QnFRbVo1RSxd5ocRXUr/UCB71b837Z2eMhW59fltUkmxp\naancX5UQ267rPI0bnL4z2PfUUXVgXNtWAqcmBymZVqcz40JaNYGWjEV9Kd5vocCjUVK6TEaUfKqA\nxvt4h7aCRsQ0IwmUYLNgg0yOZiJ/XRRWrMsvqAnGA5FvK0lbyvSO9Z+h3Z6uMZT1JlGu9d0PRid6\nrcGHk5OxqxBx1OqaU6SpRvcaVvuPybgMX480EwW36LgGaQwTnHgfjbCktuznFOeZ5t35eaFmY9Wa\niv3UjAcrRdC3W68/qX6nqCTZ4cNHBmrwTWq03cnSuMFpwL8E4K9G1YFxbdsBnHhseXnZ5uYOuA/X\nS8YaHUdGzg9RJWCtb6YmF59Xo+ZBBbT9rj3vIyGTv69kdjfYoASuWxQAsGh1s97ZVmeyGio9ZYVf\nggzZM74mTYNmJj1fEzfrUvJK5WfW6z/wzK0eJVcIDAWj88nIXvBQrYWgr8+nVRR0rDUU/Hyrm+JU\nYCAoEgQiYeQ+q2tqepy+QBbp5Tzz0Xo8j1qdXs/7+/nC/lErZ3TeolU+Ol/5nHOj+N4OHrx1YGxS\nmrJDh25dseyQD4yozPGTHwp+sjQWcALwjDIK7m8BXFn+vrJMwr1nVB0Y17aVwMlsuAP13HO/Tz5Q\nfmC+yjRByzN2BSECQRSU4BNF9XdTJFzH6mAZaS7qA/GM0UdbkTEqU9Qos47VGXEkjZPp+crUHStM\nM2Rkag6ak/1k6oUJUhlRU+HO9Yb83n77O2tlqYpisT50vi3RfByDfa7vOg5nu/Hh86vwwmMqwGgC\ntA9Q0Kg5H4nnUw/8PKH26le8VfB5svRHhSe+655VUZ+q5escitIPmHAbaYLV2KTUK/19HvQXg2jK\noihsU2TeepfH2ao0LnC6DMB7AXwZwH+T7TYA3z+qDoxr22rgZBZL31UZHG/iiqTtyJSmpjcW1fQm\nF55D6VpNRE1h6Ivu3gw7974KTQaNsu2Vud5gdROKJml6puml/2i/+hhYIYN+L8+INBeKGkfByNW8\n55c8WG+y5KAmpgENGk4/Jeep9M8STRoCv88qZs5nV3D2mrFqwWybY8OQa5qMp63wE/Iczhct3Nt2\n94NVoBbNIQo3vE90PMpj03c6I+3o+9wfnF+BUSxwef/tYDSlBsc0Ac5KIebbicZt1ttyQNTwHOsb\n7Qmj+++/P/ho1TSiABHVJ9NjBDYvxdIJ74FtWOQTNSIydTISjRCjf0IleTUlNvkllKHQlJOkPQ+s\nbMdL7zQR+WoMkXmL4zDo16CTOzLhDatEPYziMlVeqDjWjxD0jvdqrFTzUfMsn5X/My1AfTX+3TAq\nMjIdcsHEKK+O53MdMZoAWesxqhpBjWpv2V7kG4w0fJpjCUgaSq9j532u1DZ9AEVH7lOYBrnsuga+\nLC0t2fHjx+WdHeuXMGp6v9sZlEjjBqcZAD8L4O2l5vQeAO8ZVQfGtW0XcCpWVtWF53w9NS0/M2XV\nEgFkHAQlLUlDMHmh1UGOEjLvpRKn+g+8xDkl24zck1K6Zxy6kFwEpBF4dKRdvxKuP4fjoutSKeMk\nY1NzYmXiqkdvxWVrSJVprlhiYS3mm/n5ynHeas3Ynj0vs2531trt6f6S31dcsacfEDO4RpSaA5sC\nGVgXcb8NvjNqM5DzBjWNemj+lMVChV/Mzws/c8H9NUJPzY5N91Ffjpq4aZb1/kbVSvfbIACyHW8K\nr3K0Uur130u3O1suo1Gdu3v3VaP+5LcUjRucfh/AW0rf08vLcPKJq0q+iuc4iSGfLKpCViPT2JSl\nNG33339/yVBpwlPNhtKrt8tHOTBalYHmDX7EZHJNSxvQnzWstI4yFj6Pr8JABhGZEbtWfz4Plt6P\nVeWH1bWsxf59CQbt9nRfWlbTTMGQBs12J1P/TNs/dGh+QCubnz9Smp+UAXcH/p+b+6XymbmYojLz\nKEpPtd2uARdZXYPSedNUCT3SaPR98HpvNo3MdAoK3oTr36svXqz33y/39Ws4sY1Ie5sKVrfV+aYA\ndl947mrz3rYjjRucjpV/P1X+7QL46Kg6MK5tK4NTZBJYXl4OI4oIOnTMU4qPTVYElg9boXFo8U5q\nYmQi+hH6JcubzGIavlst2laX0qesXj2APiDV2NT0RlBVX0ZTmLwHy4WG/RUI7t59lS0tLdnS0lLo\nTxq2evGo/E1Rnb5CGPHPWa+Q0e3OlmZfNZ15bbCJ4S7KeRQoPJAvWKFt+CAX9UXyniqIROBEcFFh\nhVos5yFBV03F3gIwzCxLAUf7oQKatwDsMgLOYLmpGJwi82oGp/GB00L59y8AnAng2zBhhV9X9aBb\nFJxWivxikUmvaRw/ftwOHz5SfjxN5hmVUGnyoiSsEueUOzeSUn2ZoygHiVFzau5TMyJNa15q71rB\nGPfL9RFwaW5KR65n3zyw9awOevut1ZrpL8XdpCENeyfrqZG2Uumb5eXlgYrYxe+L+8/Wbk/3zU11\nH9ExqwIVIn+N1hiMojO9T0iDUCjgdKxIoI7WkuoG+3yFEtXI/Ryl6fqY1StQeLPc/GQAACAASURB\nVHDU69k/DXKo90lNoq1Wr9SAFo2+qFZrRjTVullczXq33/5O27PnZf3je/a8bBSf/ZalcYPTTwJ4\nLIDno6hI/i8AXj2qDoxr24rgtFpJvCpdVH2wBw7cYnUmTubiP+wnCaOZskpS1Q+SVRoussFCr2oS\nYiRXk6SspWo0YsvnpHhmpr4VHteipYxo02g1th2Baa9kUNMSXODL/JDJx4ENwxzcKzm/tWo1HewE\nNTUnak5VoQFXDPhZzzpPnmuxD6hFf19Se+aUeiKkaHJqS8ZnpeoaamZTQJ+RY1PBOV1pnyDJcea1\nFwf38mZbFXyioBkCHecfg1/ukOMFUO/bd2Mf7JlcrQCjoOUFJa2lp++Y2vZq3v92prGC03bZtjM4\nmVnt49q9+6oGcx7Bh2C1r4EpROYvfqT75brI6ewrNKh/ZEH+54evUu2UnNuyyjHPCK6I6XmGSiar\nwDeYw3XZZbv7EXcEi2jMPFCcLM3PHxm4BytLNJkMq/I3NKkqOBTnVn2nX6iqyH3WWc+1usmWQLVX\nzvf+KQ3H93PHAxd9XNRyOO5eez5b2tP6iAtWF2bYpxkbnKM+LJyLY3p/ktcAfYXyWStAsUiuLsDK\nR34Opk2sZKrdCstabCSNW3N6IoB3o6z6DeCZAF45qg6Ma9uK4GS2tslO6a3yUUy7D82XNNprnlHG\nBUbJbAgcM7KPTMhH5HkgUQBS7ScKBffRc7xO78G+qDlqV3ntBRaXUSqYXUpT/VwVaiqdzowdPHhr\nrSxUuz1dCxk/WWryHdGMFwkj7GfRL6+1qk+Q46M+Ipr0dBz4TtRXR61VNU71JxI82LdFGxxbvgv1\nG0Ya61HXBz8/1AzXFIDhtTcKTVFkp/rT1G/EZ1YNTXPEOnK8esZhNfG2yoKAG0njBqc7AOxxARGf\nHlUHxrVtVXAyW5+ZoKjnpflF+uGrNqMMjaYe+hb0Gq+BqK9HzUKLci6ZhSZm+jY9OLFPkcYzbNE7\nMlANTfdmzbYBlwuzr/thaGbbKMm3Yl6DpXO47IYKI5U/0QNLJADEQSBnnfU9jglHuUwcn54NMmy2\nGS270RR4otXGOf4q9OyySiPqWhW0oGa/jhWas/eFKRBFgpX3V0bgpBp/EfFXhOYzBaAnhZT5jjp2\n4MAtq3y/GZxGsa2GqX+s/PsJ2XdsVB0Y17aVwWmtpAViDxy4JYg8UrAgM6IkSSB7SsksWtbM/PZa\nFcFFbUeZnmpdETPxZj29T1Oir2fSZDZsX01H6gOZs0qT0FDiSlNq8idsxLtJaVrCkOfC+9eXSVGQ\n8sEFiwPP0m5Pl5F7vto6Q8yHvZNB/1w1nprjFGneHF8tGuv9WczN8xpg1+pRnTonuBy8zledW1qQ\nNSpdpHPB54d1+uH7tD74b4aJuGtZtyub9TYenO4C8DiCE4qF/f7XqDowrm2ngFMU+TUIThperAyn\nYpTFvjMck9DCob5QapQbomAXMYU7rJ4PtejuF0WPKYCRIfOYltyhL4RVCXx9wUoDUL/SOJzZvEfd\nlzQYpWcWLcMQmcuoATKYpTA/vfnNc8G5HDvV4IrjRQQbj2lACLUaCisKNt4vxXeiGutRq4NRJOgs\nBr+p5XWk/aY54cPXPcBWYxOtEaXJs/HKxcX8XI02lAMixgdO5wH4SwBL5d/PAThrVB0Y17ZTwYlJ\nnd6MdNNNtwhznJEPm0ARRfaplNp1x2lSiTQ0gmC9RlxzEc6e3ItSs/5PJuUTRBel/cvlN1fnHeyb\nliIat9Sra0JFUXp6XmWmbfLBaGX2jp1zzvOCc9XPpGa7AkharRk788znWF3DYCSkAtvlDhi0BmPT\ngn8ancm26RvzQouCEyMQZ6wQNHQ5kAjUPDhphGIE0lP9udK0cq2Cbau1toUCdxpQjQWcAHyH/O4A\nOKPMc5oa1c3Hue0UcDKLFyrUem90wpM5VhqTJslGeS5qGomWKtgrbXjpVLeeVUVn9V7UxjzoKbCq\nDyGSqOdskEFp0iWZdHG+1kobp7+gXhHi1gFt12tQdX9V5ctptWbs/vvvd5UK1NenAQscRy8IFFpB\n4Ydryf6LrB5urr7KKStMugzUaAIbRgVqHh3DwX0eGoFP5+GctMNzGLjgwcnnJfm8uQgwqwCIaMyX\nlpYGgmTWU/UjEji2I2iNC5zUx/QHo7rhZm07CZzMBid/0/IORa0+D0RkHKohMfSXoKA5LmQIZJ4a\nhszE12RVIq1e07bC7ENtScHMRxySsfF3Kpnn2cJEm0w7vvxNVQetaQXTjWIew02vBdP1DK0e6Vcx\n9qoqhIKzpgpUYLxnz8v6QTL15Tj8b30/UfQb/Uoc57OC8WZwxZzVoyU1As4HdOj7Yy1EHvNVxjtW\nCTgaWchK6AvS/6fJfSJLQWHWa6rEMuqqH9vZL7UZ4PSJUd1ws7adBk4R+XI8ZoXGMGjuUe1kyopK\nEWRq6uOhD8Sb83RT7YYAQGk4clwTgChtRyasrl122Y/YW996wOrmx4IJttvTsuZVAUK33/7OcDXS\nusYUA8OoKWJcVTWPZoA8dIjlqhSAVOs4OxivaUupZ0tLS30QrioieGYfFUKNzHT6TgkqTWazbsP1\n2m/1GXIMdknbvoakz3lbdG17/yKBkiZr1cKLuTSKqh/D3vGwdIHtpEFlcMrgtG7y0uHy8nIpTavz\nuTDZpTTdD2fudGZsfv5Ig5/Km9AWrIquUvPPSkyPEjkZ0tOs0vaqBMqUpvrFWasK3FUIMo/5rP7I\ndOf3RSa1jaCI4a3GhLR791UyVm0HCpGmWQgT9eUdaPbTvJ8ov43vSY9NuzYICN4s7MFopXfPyD9d\nwoVmQg9iukwGTYTDwPDDVo9y9JaCqRUBYz1muKjqRz09IIPTsG0YMz8B4Ovl9pD8/jqAr42qA+Pa\nMjg10+23v7Of45FSz1Ka7ufdmDXVgVPznGpAGu2nppwIiCJzkTIZ+jMKkGGybP0av/SDD2FvNqn4\n0kHjNrM0CwrNzvfKvBclMBfvoqoWMdffX1WprzTEukmP2mpTNJy+s0hzUwFH36v6EXltZHalALNo\nhabO9+efj4Vn1efE9pv8S8V9C20xKgDcWbVfaS0gFRVe1sTqbNZbJzhtty2DU0GrtasP0x6KUknU\nsvY6pkRNh8yDmpjmH11ig9L2LhtkLIVEzCrRhw7NuxBfDVvWfRWQRQwgMm9OgoO6ntcUhy3Xz6mA\nud2e7q/KGlXKPn78uM3PHxlS1koBKar4wd8+YMWbgCmsaNX5fVbXzBmQwn6eI/fXOdOU68bfpzWA\nkT7PuUYtr1h6fVruryHzlYbeFJG3FiEmzlEbTy7dZlIGpwxO66Kmj2stdvC65hTlNhGsunbo0Lwd\nOnSrMEQN9VXnNxnWYMFYlhUimOzefZUstqc12CqmRa1vlA7ucdFqGKCvo8hVWetaJbWZAvyvuGJP\nH7iKatsK5lGOUNPvaEl7HldQq7+TSqvVQrGRBs0oUOYlaX07nUMMmEAwB1mXsWUqAB06NF/OxUWr\nlrBnGP5qhYLVzZv6+ePxZU4CZXDK4LRmWunjWstSDwUT5MfsGWLxgavvJsq41+K01dIEgyanura0\nv/+RHz58xJaXl8UHU7TD/esdh0mglSqeR8EUxb7KlFeMKavEezOfai3PbgAhnudNfOoPKvxZrRaD\nZCozWaQBx4m4XjvSSE/6lDjPLhVAebY8ny/Bxet8kjGrs1fh43NzB8p99F3F9fPWM2/0m5qfHz4v\ntwtlcMrgtGZazce1WlNDvbK2hgkXUVK6rDiBLlrpVcvFqK+lYHoLBnTEkV9nNFEww0oa33YI5V1d\nBZCZUqtkLk9U71Dzjnwwg/qHrrd6gq3mDtE81hxVOWjiVRAiWEU+sL1W91Uxkm9WzlGfF7WwvfKs\ng4EXb37zW2r7irlaLaHCCvERrTdqbyeAEimDUwank4oeOlmmvLy8LImjHSvWDyok8ZtuOlgzLylg\naEUE34cq1Ju+qMoxXYBhPVx5LeAUPfdWZhpeIh/0wx0r96mWo74VMnRdG0mj7whc+62+Ii7NbDS5\ndawyj2nbPHaDtDlng4ERCkren6RFWqO0AjUnLlgdVBVAaRYs9jF6LvJjNc0fHxC0VefNOCiD0w4H\np5MBmZP5uDy4XHmlVm7e3zflNQHGMO2tMhcOmleq6+YGjq00FlvBjLceijRBaqwM+/drRxVmVB/W\nrcnSLPMUrdPlfVleS2IUHrUXmgDbNmjO0+CZKYv9RtPu3DQEnNTPpW2wfBajQKtxoMbpUw78Eilb\nWcveDMrgtIPBabOYLT/SSuodDAemScSHa68WnKpw3kKKVxOLVlr3ppe1+mi2Azh54hjokh9eqxoE\np64wboame+CKouE8wC1aHegIOtRoVKvZJYDRKoGFf1XDq9IT5uYOWJUDpykK1A6p9XlwYjWRwQjF\nQ4duteXl5Vpwybnnfl8NiHbK3BklZXDK4DTWD8bfM7Ln+340mfCGRQzW/U4z/fp/es56nnWnSL9N\nwRJVtCSLnNa1Iua21Rl4k09IV0LWIIum/CJu+6zu96I5jm2rH6seBdpuT9uuXbsFGLty7lxwv2lp\nt20pTZeBMwSwonxXPTG5rm2t1aeZqaAMTjsYnMzGz2wHwakI196z52WN/VhJSxqev1MwMQ9OJ/sM\n252xNOWr+aK/9aoP1blFhB+1EW/OYxCF+psusEqLud4GwSnSsKitsSo997MSvqYU+LJEswZcV553\nzAqflgZddMpjxXVV9ZBuWaWdfS3ObbV6teRbPc75ulMEm1FRBqcdDk5mo2G2a812bzLVNTmR1xN6\nSym/1ZrJzGAd5JlpFMZflICarjHmIoryVqtrJRpMQf+RAhDzmjSKjqB2kQMngpsvIVTPYyr6NGf1\nJF4NU1eznhaSVe2JPrOV1ngqzokqaqjpeCcINqOiDE4ZnE6axhEWu957eKf0TqFRMUG2U4F9VUXi\n8OEj/fB9vyR9UQTYg4/mShGcdG0tz/SvN2pehbnQL7POvKUo1HtWzmvSwAgsxww4JjlyGrLes6LS\nPduJwKkCtJSmGiNMx0nbAQQzOGVwOikap99qO3xw46C1lsZZaUwHTbEz/dD8puTQelAKwaLlmHyU\nmOsDLOrmwEHTGUO7WeNO87AiwLtY7nm5AFKRzF2kIGjoecc6nZlaZXoGO1RgXQc7D9Tjpu1iPszg\nlMHppChHIU0WrfZ9DMsTW6lN+vBWqnx+++3vNM0RYr2+SAOpNCMCDvPUvPbVFAKuYeD6W5OCtc4e\nfVF1X5kGfbRaM3b48BE7fvx4f9NKJcV5uox8Udme2vpqvoNRC1zb6XscJTi1kGnHUa/Xw/z8reh2\nz0S3eybm529Fr9fb7G5lGkJvf/uv4FGPeiyuueZ1ePDBN+HBB+/GNde8Dg888EB4fq/Xw5VXvhTA\n08vtYRw+PA8AOHHiBIAHADyAEydO1Nr48z8/CsAAJFxxxRX4vd/7zf5c6XTOq93D7GG0WglAu9yz\nCOCzAFJ5z2eUv/n/0wG8CUAPQLe8rgXgM+X2cLn9GICPlf1ooVgg4Q/L6x4ceNZXvOJl+MpX/hlL\nS1/CN7/5VfzlX34Uj3/8qXj845+MJzzhNPzGb/x2/xlbrRaA6wH8W9n+BTAznHLKk/Dud7+v/x08\n8MAD4djyPTzqUY/F29/+K+HYZxoRjQrlJn1D1pwGKJvcJodWWtJ7MJR/sECpr2Sg0Y88d3l52eol\nfyrNadDn1O1rHfQF+iU9Dh8+EoShz1qVx8T8KeZYqX+IgQvev6R1/LyvqfKhdbuztUrsXG/MVxPR\npFtGmKY0XUbzDaZDjKJA8ijf/1YiZLNeBqdM249WG/nIUH5f/mk1CaTLy8u1quQp9YaCE5NVtRpF\nu11E+mkpqMsu+xEBvMsFjI7aoJmvvnbYYM4UF6ys5zpVS7CrL6tjRWJvYQY8cODgADhpAIRWgVjN\n4pOrrXCyke9/K1EGpwxOmXYYNYXymzUzzabVdodpR1WuU+GPYS4QwdAv11Fn8rokynTZ1uCyKu32\ntF1xxR4J4Y6qmC/2iwfX/UoKOLqse/XsV1yxp9/HlHq1WnoeUFYL6k3nZ6pTBqcMTpl2IK1Os1qs\nJS/7a+qVOArGzpyeKBG6yimadUubMAx7ur++lgegqjiwBjjoSr2au8TqDZXZjlXCVWsjMBQal5ZO\nGjTh3XTTwVUl0voxWuv5mSrK4JTBKVOmGhVV3Wf6wDBMqj98mAVhCw2HK79qGwSHlas+zAxoOVwQ\nsg5aXCCwMwAo9aXeWc+v0OD8qrQEhmjZlm53tlFLWiugZABaH2VwyuCUKVON1uIPiUx79TpzxTL3\nx48fHwg7v+SSK6we1FAFZzC5V9upKlEUYFflJOkaT8OTbml29OSL3OZaeJtPowSnHEqeKdMOo16v\nh3a73f+/3W67VIIeWq0Wer0ebr75l9BuPwvA03HixMP44AfvQBXe/WYAD6HdPhcHD96MXq8n7fwW\ngOfA7ARuvvmXsLT0JczPH0RKCcBZaLXeioMHb0a73UERVu7ptxr6VtHVV/8Mvv71r+DrX/8KXv3q\nn8gpEtuNRoVyk74ha06ZtjmtxVmvy9vv2fMyMytWONaQ68o3pOV+Zkvtp20s2MryP7yvX0eqHgVX\nXzup8knRnDhX06AY/DFMA4qCGnRTyua6jSVks14Gp0yZIlqJ+S4vL9vBg7cK4Cz2zWJk8FUgQ1SL\nbrYfSl6vUL4/AKI6ONWXRJmy+fkjbqHEel7TwYO3rnsxyei6HGm38ZTBKYNTpkxrpmrBSJYEqhi6\nFj6lFlQPWKBvaFrASauWz5gm+0baTD2ib7ofVThYqLbwT3mQjHxIETitNX8p0+holOCUfU6ZMu0A\neuCBB8rSR3ejKjF0BoCn48CBXyx9QQWllHDw4M1I6ZkoSg6dwBVXvBTHj38R3W4LJ07cgxMnPo6i\n/M/d5Vb4nujneeUrX44vfekf8fWvfwWvec1P4R3veFdZNolUsR76ql75ypeX/fgkzO7BG95wLR5+\n+OGB51DyZZquvPKloZ+pqcxTpgmmUaHcpG/ImlOmHUxRlYl2e7qf49Ss6ew15igdOjTfWAS23Z7u\nR9U1J7ZW6zRF63V5X1W1JlNVBd1f11SmqW4urJcuyma9jSNks14Gp0yZ1krDqkyY1f1V9Vyoub4p\nrFqQcNaKMkXdGgitbFJbrAGZmvXqCbtajby+kq9PMm4y11WrANf7ks15G0ejBKds1suUaYfQa17z\nU/3Q66uv/pma+Ytmr16vhwceeABvfON1qKqF/yKKKubAT/zEf0an00FRNfwQOp0OvvSlfwQAPOpR\nj8UppzwJJ04YW4WZuRDv5+C22w7j0Y9+dK3C9+23v6MUIrUi+QkU1cOBoiL5ILHtTucMdDpn1MLH\ne71ezVzJfTm8fIvQqFBuLRuAWwD8NYBPoqiF/y1y7AYAn0PxVZwv+89DYdz+HIDDsr8H4HfK/R8B\n8JSGe45CMMiUadvRSvXlGNZNk9pK57fb0/3qEr5AbJPGU5j6en0T3OHDRyTcfapfQTwyBw6LwssR\neuMljFBzSkV746WU0osB/JmZPZxSOlAix/Wp8MD+dwDfA+DJAP4UwHebmaWUFgD8rJktpJQ+COA2\nM7sjpfQaAGeY2WtSSnsAXGFmPxrc0zbjWTNlmjTyWtKjHvXYMlAC6HbPxNe//hW8+93vwzXXvA4A\n8NBDD8Ps4wB6/eOkqI1O5wyklAba9GslnXLKk/rnAGcC+Bg6nfPwD//w93j0ox890Cb3e40v6n+T\nVphpYymlBDNLK5+5Mm2KWc/MPmRmDMP5KIBTy9+XAfgtM3vQzD4P4F4Az0spPQnAo8xsoTzv1wBc\nXv7eBeB95e8/APDDG93/TJm2Kq12sTyaAL/0pX9Euz3Ia9Q85iPmHnroBB58cHBRQL3/t37rE/Hg\ngydQX4TwD/HQQw/hyU8+He9857tq16WUBoBptZRNeVuURqWCrXcD8AEAV5W/3wbgx+XYuwC8FIVJ\n70Oy/wcBfKD8fTeAb5dj9wJ4bHCfteuomTJtI1pLwipJc48ik1q9XS4sWC/Gqma9KrKOCbmLVhV7\nrVeVOHjw1lrliSbKprvJIWwFs15K6UMAnhgcepOZfaA85xcAnGtmLy3/fxuAj5jZb5b/vwvA/wvg\n8wAOmNmLy/0/COA6M7s0pXQ3gAvM7B/KY/cCeK6ZfUVvms16mXYqaY5PkwksMn098MADeMQjHoMT\nJ+4BALTbz8K//uv/GdBCKtPaxwA8B4W8WJjivvzlf8KjH/3o4Dwu+f7pftutVqvft3b7WUgp9XOu\nrr76Z1b1jE0aUjbtjYdGadbrjKKRiAgkTZRSegWAl6BuhvsigNPk/1MBfKHcf2qwn9d8B4B/SCl1\nUARX1ICJtH///v7vF7zgBXjBC16w8oNkyrSF6e1v/5W+72h+/lbMz9+Ka645s/+/muaUHnjgAXzt\na1+rJc6eOHECDzzwwMC5jJi75prn4MQJQ0oF0MzPz/eByZ/34IMG4GEAT0dKLdx2220A0O/biRMJ\nJ04UwPXGN56JV73qJ4YCy7Bjfgxe85qfajw309rorrvuwl133bUhbW9WQMSFAA4BeL6ZfUn2MyDi\nuagCIr7LzCyl9FEAVwNYAPDHqAdEnGlmP51S+lEAl1sOiMiUqTFYgNTE0JWZP/jgw6BrutUyfPOb\nX11RO1mp/a997Wt43OOeiIce+isAQKdzHr7xja/2Nbivfe1rePKTTx8a5LBaWk3ARKbR0ZYPiEDh\nW3okgA+llD6RUno7AJjZIoDfBbCIwpz3GkGU16DwQX0OwL1mdke5/90AHpdS+hyAawBcP77HyJRp\n69GwAAEtc/Tgg3ej3Qba7YfR6Rje9rb5FbUX3Zrove/9dTz00EMoTIB/WMtFeve734cnP/l0nDhh\naLefhW73TBw8ePN6HzXTVqZROa8mfUMOiMi0zWg1yz+sNVigqZDqqKoqRPlNg8vEVwVoWfx1WP/X\nuqRGpo0j5PJFGZwy7WxaC8Nd6xpGG8nMh5UbisBppUriq+1rXsdpPJTBKYNTph1Ma1mS/WTusVHM\nfLUVHbjGVKRlsY95GYzJolGC06YERGwG5YCITNuFtoOTf1hotx677bbb8drXvg7FUu5vQrf7i7Xw\n960+DtuNtkNARKZMmVZJLPdDqhdSPbMWEr5VaFjQhB571at+QgrN/tjAeVt9HDI1U9acMmWaYBqW\no7PZiaXjuv9KeUqbPQ6ZKhql5pTBKVOmCaVJM1spCGx0YqsHnAxAW4OyWS9TpkxjJS0Ye9ttt9dy\noa655nUjXQb98OHb8chHfmutOG0u3rrzKGtOmTJNME1C6Z1IgzMzPPTQp/v/j0qjGxYAkWnyKZv1\n1kEZnDJtVdpsk1YETrfccjOuvfY6AOsHzch0p/cBzkSnY/3SRpkmn7JZL1OmHUSbbdKKouJe+9qf\n6S/5vh5gWt26Ug/i4MFbMjDtUMqaU6ZMmVZFo9LghgV6qBlzNUtlZJosyma9dVAGp0yZNobWClor\nRSFuthkz0/opm/UyZco0EbTaZd+VVkqe3WwzZqbJoKw5Zcq0Q2jUGsnJ5mGtpT9Zm9oalDWnTJky\nrYnWo+FsNK1WQ5rEvmfaeMqaU6ZM25w2stLEOCpFTFKVjEzDKQdErIMyOGXaqbTRDH4jTW4ZnLYW\nZbNepkyZVk3rrd7tq6EPa3+jwCJXHt+5lDWnTJl2CK1Fw5mEsklKOSBia1A2662DMjhlyrQ6yqa0\nTOulbNbLlClTpkzbmjI4ZcqUqUbZz5NpEiib9TJlyhRS9vNkWitln9M6KINTpkyZMm0sZZ9TpkyZ\nMmXa1pTBKVOmTJkyTRxlcMqUKVOmTBNHGZwyZcqUKdPEUQanTJkyZco0cZTBKVOmTJkyTRxlcMqU\nKVOmTBNHGZwyZcqUKdPEUQanTJkyZco0cZTBKVOmTJkyTRxlcMqUKVOmTBNHGZwyZcqUKdPEUQan\nTJkyZco0cZTBKVOmTJkyTRxlcMqUKVOmTBNHGZwyZcqUKdPEUQanTJkyZco0cZTBKVOmTJkyTRxl\ncMqUKVOmTBNHGZwyZcqUKdPEUQanTJkyZco0cZTBKVOmTJkyTRxlcMqUKVOmTBNHGZwyZcqUKdPE\nUQanTJkyZco0cbSp4JRSekNK6eGU0mNl3w0ppc+llD6TUjpf9p+XUrq7PHZY9vdSSr9T7v9ISukp\n436OTJkyZco0Wto0cEopnQbgxQD+XvY9E8AeAM8EcCGAt6eUUnn4lwG80sy+G8B3p5QuLPe/EsCX\ny/23ArhpTI+w5emuu+7a7C5MHOUxiSmPyyDlMdlY2kzN6b8CuM7tuwzAb5nZg2b2eQD3AnheSulJ\nAB5lZgvleb8G4PLy9y4A7yt//wGAH97QXm8jyh/XIOUxiSmPyyDlMdlY2hRwSildBuALZvYpd+jb\nAXxB/v8CgCcH+79Y7kf5934AMLOHACypmTBTpkyZMm096mxUwymlDwF4YnDoFwDcAOB8PX2j+pEp\nU6ZMmbYeJTMb7w1TOgPAnwH4ZrnrVBSa0PMA/F8AYGYHynPvAHAjCr/UnWb2jHL/jwH4D2b20+U5\n+83sIymlDoB/NLNvC+473gfNlClTph1IZjYSZWPDNKcmMrNPA3gC/08p/R2A88zsKyml9wP47yml\n/4rCXPfdABbMzFJKX0spPQ/AAoCXAbitbOL9AF4O4CMAdqMAvui+WTvLlClTpi1CYwengPoajZkt\nppR+F8AigIcAvMYq1e41AN4LYAbAB83sjnL/uwH8ekrpcwC+DOBHx9XxTJkyZcq0MTR2s16mTJky\nZcq0Em3ZChEppfeklP45pXS37NufUvpCSukT5XaRHFtTcu9WpJTSaSmlO1NK96SUPp1Surrc/9iU\n0odSSn+TUvqTlNJj5JptPS5DxmSnz5XplNJHU0rHUkqLKaVfKvfv5LnSxT1CuAAAB0lJREFUNCY7\neq4AQEqpXT77B8r/N36emNmW3AD8IIBzANwt+24E8Prg3GcCOAagC+B0FPlT1BoXADy3/P1BABdu\n9rOdxJg8EcDZ5e9HAvgsgGcAuBnAdeX+nwdwYKeMy5Ax2dFzpXyG2fJvB4XP9gd28lwZMiZ5rgCv\nB/CbAN5f/r/h82TLak5m9hcAvhocigIf1pPcu+XIzP7JzI6Vv78B4K9RBJZoovL7UD3jth+XIWMC\n7OC5AgBmxojZKQBtFN/Tjp0rQOOYADt4rqSUTgXwEgDvQjUOGz5Ptiw4DaGfSyl9MqX0blE115Pc\nu6UppXQ6Cs3yowCeYGb/XB76Z1TRkjtqXGRMPlLu2tFzJaXUSikdQzEn7jSze7DD50rDmAA7e67c\nCuBaAA/Lvg2fJ9sNnH4ZwFMBnA3gHwEc2tzubA6llB6JopTTa83s63rMCp16x0XBlGPy+yjG5BvI\ncwVm9rCZnY0i1/A/pJR+yB3fcXMlGJMXYAfPlZTSJQCOm9kn0FAsYaPmybYCJzM7biWhUEGfWx76\nIoDT5NRTUaD4F8vfuv+L4+jrRlFKqYsCmH7dzP6o3P3PKaUnlsefBOB4uX9HjIuMyW9wTPJcqcjM\nlgD8MYDzsMPnCknG5Dk7fK58P4BdqchH/S0AL0wp/TrGME+2FTiVg0S6AgAj+d4P4EdTSlMppaei\nSu79JwBfSyk9L6WUUCT3/hG2KJXP8G4Ai2Y2L4eYqIzy7x/J/m09Lk1jkudKOoXmqZTSDIoVAj6B\nnT1XwjEhEy5pR80VM3uTmZ1mZk9FkUP6YTN7GcYxTzY7CmS9GwoU/wcA/4ai8Ot/RuFk+xSAT5YP\n/gQ5/00onHOfAXCB7D8PxWS7F8Btm/1cJzkmP4DCLnwMBaP5BIqlRx4L4E8B/A2APwHwmJ0yLg1j\nclGeKzgTwMfLcfkUgGvL/Tt5rjSNyY6eK/JMz0cVrbfh8yQn4WbKlClTpomjbWXWy5QpU6ZM24My\nOGXKlClTpomjDE6ZMmXKlGniKINTpkyZMmWaOMrglClTpkyZJo4yOGXKlClTpomjDE6Zth2llE7I\n8gafSCl9xzrauCyl9IyN6F/Z/h0ppa9yCYJ1XP/5lNKn5Bnny/3vTSm9dMR9fbkmLaeUfnUjxyZT\nJmAyVsLNlGnU9E0zO+ck27gCwAdQVDFfFaWUOmb20CpPvxnALIBXraNvQFHL7AVm9pVg/6iTF18B\n4NMo6srBzH5yxO1nyjRAWXPKtCOoXOjsrpTSx0qthXXBfjKltJCKBeZ+P6U0k1L6fgCXArglpfTx\nlNJ3lteeV15zSllrDCmlV6SU3p9S+jMAH0opzaZiIcyPltfuivpjZh8G8I2Tfaxh+6NnTik9PaX0\nURmX01NKnyp//9/lWNydUnpnuW83gOcA+M3yeabdWPxYqcHdnVI6IO1+I6U0V47r/04pPf4knzXT\nDqMMTpm2I82IuesPUkodAG8D8FIzew6A/wbgreW5f2Bmz7WiEvVfA3ilmf0lihphbzSzc83sbzFc\nIzmnbPuHAOwF8Gdm9jwAL0QBcLMb8IwJwJ3ynK+VY5aKYrcDz2xmnwEwlYrlQwBgD4DfLn+/rRyL\nM1GM4SVm9vsAPgbgqnIsllGORUrp2wEcAPBDKCp2f09K6bKyrVkA/7sc1z8HkLWtTGuibNbLtB3p\n/1OzXkrpDADPAvCnRc1JtFHUZQSAM1NKcwC+BcVKuXdIO02aiacPmdn/KX+fD+DSlNIby/97KKo0\nf3Y9DzKEmsx6QNHvp6H5mX8XBSjdBOA/lhtQVJy+FgWwPBaFKe9/SJv+Ht8D4C4z+zIApJR+E8B/\nAPD/APg3M/vj8ty/QlFENVOmVVMGp0w7gRKAe8zs+4Nj7wWwy8zuTim9HMAL5JhqSg+hsjRMuzb+\n1f1/pZl9bhX9avQNpZROQ6G9AcAvm9mvrKI9T03P/DsAfi+l9IcoluO5L6U0DeB2AOeZ2RdTSjei\n/pxRX/2+JPselP0PI/OaTGukbNbLtBPoswC+LaX0vUCxvlNK6ZnlsUcC+KfSDPafUDHXrwN4tLTx\neRS+FwDYPeRe/xPA1fwnpTQsMKNRMzOz+83snHJrAqam6w1Dnrk0U54AsA+VSY9A9OVULMz4I9Ke\nHwveYwHA81NKj0sptVEsqfC/mp4pU6a1UAanTNuRahK9mf0bCkC5KRVLcH8CwPeVh/ehWMr+KOqR\neb8N4NqU0l+V69IcBPDTKaWPA3ic3MP7ot4CoFsGCXwawJujDqaU/gKFee2HU0r3p5TWY/ZSn9N7\n3TM/OOSZgUJ7+vGyDyjNkr+KwpR3B4oxIb0XwDsYECH3+CcA1wO4E8UyEx8zM4bG65jsuBV1M508\n5SUzMmXKlCnTxFHWnDJlypQp08RRBqdMmTJlyjRxlMEpU6ZMmTJNHGVwypQpU6ZME0cZnDJlypQp\n08RRBqdMmTJlyjRxlMEpU6ZMmTJNHGVwypQpU6ZME0f/P1kxkux+/56XAAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x1686e0990>"
]
}
],
"prompt_number": 256
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig_one = pyplt.figure(figsize=(6,6))\n",
"fig_one_axes = fig_one.add_axes([0.1, 0.1, 0.8, 0.8],\n",
" title='Scatter plot of feature 4 vs feature 8',\n",
" xlabel='Feature 4 - Horz. Dist. to Water',\n",
" ylabel='Feature 8 - Hill Shade at Noon')\n",
"\n",
"fig_one_axes.scatter([np.genfromtxt('./svm/features/sfcwwmerge_feature_4.txt')],\n",
" [np.genfromtxt('./svm/features/sfcwwmerge_feature_8.txt')],\n",
" s=10)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 244,
"text": [
"<matplotlib.collections.PathCollection at 0x1683b3c10>"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAZgAAAGUCAYAAAAI+TQuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
"text": [
"<matplotlib.figure.Figure at 0x14ecab410>"
]
}
],
"prompt_number": 244
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now that we have seen that elevation appears to be a distinct feature vs most other features but specifically features 3, 6, and 10 we will construct a 3D plot of features 1, 3, and 6 as well as 1, 6, and 10."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from mpl_toolkits.mplot3d import Axes3D\n",
"import matplotlib.pyplot as plt\n",
"\n",
"fig = plt.figure()\n",
"ax = fig.add_subplot(111, projection='3d')\n",
"n = 100\n",
"for c, m, zl, zh in [('r', 'o', -50, -25), ('b', '^', -30, -5)]:\n",
" zs = [np.genfromtxt('./svm/features/sfcwwmerge_feature_1.txt')]\n",
" ys = [np.genfromtxt('./svm/features/sfcwwmerge_feature_3.txt')]\n",
" xs = [np.genfromtxt('./svm/features/sfcwwmerge_feature_6.txt')]\n",
" ax.scatter(xs, ys, zs, c=c, marker=m)\n",
"\n",
"ax.set_ylabel('Feature 1 - Elevation')\n",
"ax.set_ylabel('Feature 3 - Slope')\n",
"ax.set_xlabel('Feature 6 - Horiz. Dist. to Roads')\n",
"\n",
"plt.show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAV0AAADtCAYAAAAcNaZ2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nA+2RCqTFxAcsAAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x1514f97d0>"
]
}
],
"prompt_number": 261
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from mpl_toolkits.mplot3d import Axes3D\n",
"import matplotlib.pyplot as plt\n",
"\n",
"fig = plt.figure()\n",
"ax = fig.add_subplot(111, projection='3d')\n",
"n = 100\n",
"for c, m, zl, zh in [('r', 'o', -50, -25), ('b', '^', -30, -5)]:\n",
" xs = [np.genfromtxt('./svm/features/sfcwwmerge_feature_1.txt')]\n",
" ys = [np.genfromtxt('./svm/features/sfcwwmerge_feature_6.txt')]\n",
" zs = [np.genfromtxt('./svm/features/sfcwwmerge_feature_10.txt')]\n",
" ax.scatter(xs, ys, zs, c=c, marker=m)\n",
"\n",
"ax.set_xlabel('Feature 1 - Elevation')\n",
"ax.set_ylabel('Feature 6 - Horiz. Dist. to Roads')\n",
"ax.set_zlabel('Feature 10 - Horiz. Dist. to Water')\n",
"\n",
"plt.show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAV0AAADtCAYAAAAcNaZ2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nFwAAAABJRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x1615280d0>"
]
}
],
"prompt_number": 262
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"5.6 Classify Two groups of features based on visual interpretations using LSVM"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In this section we will impliment a Langrangian Support Vector Machine and run several sets of features through it. In the previous sections I actually had removed the class labels from the data sets prior to the merge however, we will need them here. So, we will re-add the class labels and then merge them again."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Import classification data sets\n",
"sprucefirextended = np.genfromtxt('./svm/classifications/sprucefirextended.txt', \n",
" delimiter=' ')\n",
"cwextended = np.genfromtxt('./svm/classifications/cottonwoodwillowextended.txt', \n",
" delimiter=' ')\n",
"\n",
"# Generate new column with class information\n",
"sprucefir_class_col = np.array([[1] for i in range(250000)])\n",
"cw_class_col = np.array([[4] for i in range(250000)])\n",
"\n",
"# Add classification columns to data sets\n",
"sfextendedwithclass = np.concatenate((sprucefirextended, sprucefir_class_col), \n",
" axis=1)\n",
"cwextendedwithclass = np.concatenate((cwextended, cw_class_col), \n",
" axis=1)\n",
"\n",
"# Save extended classification data sets with class information\n",
"np.savetxt('./svm/classifications/sprucefirextendedwithclass.txt', \n",
" sfextendedwithclass, delimiter=' ')\n",
"np.savetxt('./svm/classifications/cottonwoodwillowextendedwithclass.txt', \n",
" cwextendedwithclass, delimiter=' ')\n",
"\n",
"# Merge the two classification data sets\n",
"merge_classes('./svm/classifications/sprucefirextendedwithclass.txt', \n",
" './svm/classifications/cottonwoodwillowextendedwithclass.txt',\n",
" './svm/classifications/sfcwwmergewithclass.txt')\n",
"\n",
"# Split the features apart for reading into the LSVM\n",
"split_features('./svm/classifications/sfcwwmergewithclass.txt', \n",
" 'sfcwwmergewithclass')\n",
"\n",
"\n"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 282
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Read in features 1, 3, 6, and 10 for use with LSVM\n",
"feature_1 = np.genfromtxt('./svm/features/sfcwwmergewithclass_feature_1.txt')\n",
"feature_3 = np.genfromtxt('./svm/features/sfcwwmergewithclass_feature_3.txt')\n",
"feature_6 = np.genfromtxt('./svm/features/sfcwwmergewithclass_feature_6.txt')\n",
"feature_10 = np.genfromtxt('./svm/features/sfcwwmergewithclass_feature_10.txt')"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 283
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We know that the first 250,000 of each feature set are of class 1 and the second 250,000 of each feature set are of class 4. So, we can combine them as such."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"class_1 = [1 for i in range(250000)]\n",
"class_4 = [4 for i in range(250000)]\n",
"labels = class_1 + class_4\n"
],
"language": "python",
"metadata": {},
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We will be using the sample data provided by Dr. Suthaharan to test each step of the LSVM\n",
"\n",
"f1 f2 class\n",
"5.5 1.5 1\n",
"5.7 0.5 1\n",
"6.1 1.1 1\n",
"4.5 -1.8 -1\n",
"4.3 -1.5 -1"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Read in matrix\n",
"original_data = np.genfromtxt('./svm/original_data.txt', delimiter=',')\n",
"print original_data.shape\n",
"print original_data\n",
"# Pull out labels and features for processing\n",
"labels = np.rot90(original_data)[0]; print labels\n",
"f2 = np.rot90(original_data)[1]; print f2\n",
"f1 = np.rot90(original_data)[2]; print f1\n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"(5, 3)\n",
"[[ 5.5 1.5 1. ]\n",
" [ 5.7 0.5 1. ]\n",
" [ 6.1 1.1 1. ]\n",
" [ 4.5 -1.8 -1. ]\n",
" [ 4.3 -1.5 -1. ]]\n",
"[ 1. 1. 1. -1. -1.]\n",
"[ 1.5 0.5 1.1 -1.8 -1.5]\n",
"[ 5.5 5.7 6.1 4.5 4.3]\n"
]
}
],
"prompt_number": 320
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from sklearn import preprocessing\n",
"\n",
"# Remove labels\n",
"features = np.rot90(np.rot90(np.rot90(np.rot90(original_data)[1:])))\n",
"\n",
"# Standardize the array\n",
"A = preprocessing.scale(features) \n",
"print features_std\n",
"\n",
"# Create diag. matrix from labels\n",
"D = np.diag(labels)\n",
"print D"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"[[ 0.40016337 1.13579699]\n",
" [ 0.68599434 0.39826648]\n",
" [ 1.25765629 0.84078479]\n",
" [-1.02899151 -1.29805371]\n",
" [-1.31482249 -1.07679455]]\n",
"[[ 1. 0. 0. 0. 0.]\n",
" [ 0. 1. 0. 0. 0.]\n",
" [ 0. 0. 1. 0. 0.]\n",
" [ 0. 0. 0. -1. 0.]\n",
" [ 0. 0. 0. 0. -1.]]\n"
]
}
],
"prompt_number": 326
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def standardize_array(array):\n",
" mu = array.mean()\n",
" stddev = array.std()\n",
" \n",
" for i in range(len(array)):\n",
" array[i] = (array[i] - mu) / stddev\n",
" print array\n",
" return array\n",
"\n",
"standardize_array(f1)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"[ 0.40016337 0.68599434 1.25765629 -1.02899151 -1.31482249]\n"
]
},
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 317,
"text": [
"array([ 0.40016337, 0.68599434, 1.25765629, -1.02899151, -1.31482249])"
]
}
],
"prompt_number": 317
}
],
"metadata": {}
}
]
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment