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Created December 12, 2016 13:26
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Answer all questions and submit them either as an IPython notebook, LaTeX document, or Markdown document. Provide full answers for each question, including interpretation of the results. Each question is worth 25 points.\n",
"\n",
"This homework is due on Monday, December 8, 2016."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import numpy as np\n",
"# import pymc as pm\n",
"import pylab as plt\n",
"import pandas as pd\n",
"\n",
"# Set seed\n",
"np.random.seed(42)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Question 1\n",
"\n",
"The `titanic.xls` spreadsheet in the `data` directory contains data regarding the passengers on the Titanic when it sank in 1912. A recent [Kaggle competition](http://www.kaggle.com/c/titanic-gettingStarted) was based on predicting survival for passengers based on the attributes in the passenger list. \n",
"\n",
"Use scikit-learn to build both a support vector classifier and a logistic regression model to predict survival on the Titanic. Use cross-validation to assess your models, and try to tune them to improve performance.\n",
"\n",
"Discuss the benefits and drawbacks of both approaches for application to such problems."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>pclass</th>\n",
" <th>survived</th>\n",
" <th>name</th>\n",
" <th>sex</th>\n",
" <th>age</th>\n",
" <th>sibsp</th>\n",
" <th>parch</th>\n",
" <th>ticket</th>\n",
" <th>fare</th>\n",
" <th>cabin</th>\n",
" <th>embarked</th>\n",
" <th>boat</th>\n",
" <th>body</th>\n",
" <th>home.dest</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>Allen, Miss. Elisabeth Walton</td>\n",
" <td>female</td>\n",
" <td>29.0000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>24160</td>\n",
" <td>211.3375</td>\n",
" <td>B5</td>\n",
" <td>S</td>\n",
" <td>2</td>\n",
" <td>NaN</td>\n",
" <td>St Louis, MO</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>Allison, Master. Hudson Trevor</td>\n",
" <td>male</td>\n",
" <td>0.9167</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>113781</td>\n",
" <td>151.5500</td>\n",
" <td>C22 C26</td>\n",
" <td>S</td>\n",
" <td>11</td>\n",
" <td>NaN</td>\n",
" <td>Montreal, PQ / Chesterville, ON</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>Allison, Miss. Helen Loraine</td>\n",
" <td>female</td>\n",
" <td>2.0000</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>113781</td>\n",
" <td>151.5500</td>\n",
" <td>C22 C26</td>\n",
" <td>S</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Montreal, PQ / Chesterville, ON</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>Allison, Mr. Hudson Joshua Creighton</td>\n",
" <td>male</td>\n",
" <td>30.0000</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>113781</td>\n",
" <td>151.5500</td>\n",
" <td>C22 C26</td>\n",
" <td>S</td>\n",
" <td>NaN</td>\n",
" <td>135.0</td>\n",
" <td>Montreal, PQ / Chesterville, ON</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>Allison, Mrs. Hudson J C (Bessie Waldo Daniels)</td>\n",
" <td>female</td>\n",
" <td>25.0000</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>113781</td>\n",
" <td>151.5500</td>\n",
" <td>C22 C26</td>\n",
" <td>S</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Montreal, PQ / Chesterville, ON</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" pclass survived name sex \\\n",
"0 1 1 Allen, Miss. Elisabeth Walton female \n",
"1 1 1 Allison, Master. Hudson Trevor male \n",
"2 1 0 Allison, Miss. Helen Loraine female \n",
"3 1 0 Allison, Mr. Hudson Joshua Creighton male \n",
"4 1 0 Allison, Mrs. Hudson J C (Bessie Waldo Daniels) female \n",
"\n",
" age sibsp parch ticket fare cabin embarked boat body \\\n",
"0 29.0000 0 0 24160 211.3375 B5 S 2 NaN \n",
"1 0.9167 1 2 113781 151.5500 C22 C26 S 11 NaN \n",
"2 2.0000 1 2 113781 151.5500 C22 C26 S NaN NaN \n",
"3 30.0000 1 2 113781 151.5500 C22 C26 S NaN 135.0 \n",
"4 25.0000 1 2 113781 151.5500 C22 C26 S NaN NaN \n",
"\n",
" home.dest \n",
"0 St Louis, MO \n",
"1 Montreal, PQ / Chesterville, ON \n",
"2 Montreal, PQ / Chesterville, ON \n",
"3 Montreal, PQ / Chesterville, ON \n",
"4 Montreal, PQ / Chesterville, ON "
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"titanic = pd.read_excel('/Users/fonnescj/Teaching/Bios8366/data/titanic.xls', 'titanic')\n",
"titanic.head()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"titanic_data = titanic.copy()[['pclass', 'survived', 'sex', 'age', 'sibsp', 'parch', 'fare', 'embarked']]\n",
"\n",
"titanic_data['female'] = titanic_data.sex.replace(to_replace= ['male', 'female'], value= [0, 1], regex= False)\n",
"titanic_data = titanic_data.drop('sex', axis=1)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"S 914\n",
"C 270\n",
"Q 123\n",
"Name: embarked, dtype: int64"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"titanic_data.embarked.value_counts()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"titanic_data.embarked = titanic_data.embarked.replace({'S':0, 'C':1, 'Q':2})"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"titanic_data = titanic_data.dropna(subset=['embarked'])"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"from sklearn import preprocessing\n",
"\n",
"\n",
"lb = preprocessing.LabelBinarizer()\n",
"lb.fit(list(titanic_data.embarked.dropna()))\n",
"embarked_classes = lb.transform(titanic_data.embarked.values)\n",
"\n",
"titanic_data['C'] = embarked_classes.T[1]\n",
"titanic_data['Q'] = embarked_classes.T[2]\n",
"titanic_data = titanic_data.drop('embarked', axis=1)\n"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"X = titanic_data.dropna()\n",
"y = X.pop('survived')"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"from sklearn.model_selection import train_test_split, GridSearchCV\n",
"from sklearn.preprocessing import normalize\n",
"\n",
"X_normalized = normalize(X.values.astype(float)) \n",
"\n",
"X_train, X_test, y_train, y_test = train_test_split(X_normalized, y)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.6662404092071611"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from sklearn import svm\n",
"\n",
"svc1 = svm.SVC(kernel='linear')\n",
"svc1.fit(X_train, y_train)\n",
"\n",
"svc1.score(X_train, y_train)"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.65900383141762453"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"svc1.score(X_test, y_test)"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"GridSearchCV(cv=5, error_score='raise',\n",
" estimator=SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,\n",
" decision_function_shape=None, degree=3, gamma='auto', kernel='rbf',\n",
" max_iter=-1, probability=False, random_state=None, shrinking=True,\n",
" tol=0.001, verbose=False),\n",
" fit_params={}, iid=True, n_jobs=1,\n",
" param_grid={'kernel': ('linear', 'rbf', 'poly'), 'C': [0.1, 0.5, 1, 5, 10]},\n",
" pre_dispatch='2*n_jobs', refit=True, return_train_score=True,\n",
" scoring=None, verbose=0)"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"parameters = {'kernel':('linear', 'rbf', 'poly'), 'C':[0.1, 0.5, 1, 5, 10]}\n",
"\n",
"np.random.seed(3535)\n",
"gscv1 = GridSearchCV(svm.SVC(), parameters, cv= 5) # default is 3-fold\n",
"gscv1.fit(X_normalized, y) "
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"SVC(C=10, cache_size=200, class_weight=None, coef0=0.0,\n",
" decision_function_shape=None, degree=3, gamma='auto', kernel='linear',\n",
" max_iter=-1, probability=False, random_state=None, shrinking=True,\n",
" tol=0.001, verbose=False)"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gscv1.best_estimator_"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.68935762224352826"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gscv1.best_score_"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.73946360153256707"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gscv1.score(X_test, y_test)"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"LogisticRegression(C=10000, class_weight=None, dual=False, fit_intercept=True,\n",
" intercept_scaling=1, max_iter=100, multi_class='ovr', n_jobs=1,\n",
" penalty='l2', random_state=None, solver='liblinear', tol=0.0001,\n",
" verbose=0, warm_start=False)"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from sklearn.linear_model import LogisticRegression\n",
"\n",
"lrmod = LogisticRegression(C= 10000) # low penalty\n",
"lrmod.fit(X_train, y_train)"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.76086956521739135"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"lrmod.score(X_train, y_train)"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.77394636015325668"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"lrmod.score(X_test, y_test)"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"GridSearchCV(cv=5, error_score='raise',\n",
" estimator=LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,\n",
" intercept_scaling=1, max_iter=100, multi_class='ovr', n_jobs=1,\n",
" penalty='l2', random_state=None, solver='liblinear', tol=0.0001,\n",
" verbose=0, warm_start=False),\n",
" fit_params={}, iid=True, n_jobs=1,\n",
" param_grid={'intercept_scaling': [1, 10, 50, 100, 500, 1000], 'C': [0.0001, 0.001, 0.01, 0.1, 1, 10, 100, 1000, 10000], 'penalty': ('l1', 'l2')},\n",
" pre_dispatch='2*n_jobs', refit=True, return_train_score=True,\n",
" scoring=None, verbose=0)"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"parameters2 = {'penalty':('l1', 'l2'), 'C':[0.0001, 0.001, 0.01, 0.1, 1, 10, 100, 1000, 10000], \n",
" 'intercept_scaling':[1, 10, 50, 100, 500, 1000]} # increase intercept_scaling to minimize the penalty on the intercept\n",
"\n",
"np.random.seed(3535)\n",
"gscv2 = GridSearchCV(LogisticRegression(), parameters2, cv= 5) # default is 3-fold\n",
"gscv2.fit(X_normalized, y) "
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"LogisticRegression(C=100, class_weight=None, dual=False, fit_intercept=True,\n",
" intercept_scaling=500, max_iter=100, multi_class='ovr', n_jobs=1,\n",
" penalty='l1', random_state=None, solver='liblinear', tol=0.0001,\n",
" verbose=0, warm_start=False)"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gscv2.best_estimator_"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.73825503355704702"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gscv2.best_score_"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.77777777777777779"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gscv2.score(X_test, y_test)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Logistic regression performed slightly better, and is more easily interpretable, as well as being less computationally intensive."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Question 2\n",
"\n",
"The file `TNNASHVI.txt` in your data directory contains daily temperature readings for Nashville, courtesy of the [Average Daily Temperature Archive](http://academic.udayton.edu/kissock/http/Weather/). This data, as one would expect, oscillates annually. Using either GPy or PyMC, use a Gaussian process to fit a non-parametric regression model to this data, choosing an appropriate covariance function. Plot 10 regression lines drawn from your process."
]
},
{
"cell_type": "code",
"execution_count": 92,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"%matplotlib inline\n",
"from sklearn.datasets import load_diabetes\n",
"import pandas as pd\n",
"\n",
"daily_temps = pd.read_table(\"/Users/fonnescj/Teaching/Bios8366/data/TNNASHVI.txt\", sep='\\s+', \n",
" names=['month','day','year','temp'], na_values=-99)\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 93,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>month</th>\n",
" <th>day</th>\n",
" <th>year</th>\n",
" <th>temp</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1995</td>\n",
" <td>46.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>1995</td>\n",
" <td>28.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>1995</td>\n",
" <td>27.9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1</td>\n",
" <td>4</td>\n",
" <td>1995</td>\n",
" <td>27.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>1</td>\n",
" <td>5</td>\n",
" <td>1995</td>\n",
" <td>18.5</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" month day year temp\n",
"0 1 1 1995 46.7\n",
"1 1 2 1995 28.7\n",
"2 1 3 1995 27.9\n",
"3 1 4 1995 27.0\n",
"4 1 5 1995 18.5"
]
},
"execution_count": 93,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"daily_temps.head()"
]
},
{
"cell_type": "code",
"execution_count": 94,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"y = daily_temps.temp.dropna().values[:1000]\n",
"N = len(y)\n",
"x = np.arange(N)/1000"
]
},
{
"cell_type": "code",
"execution_count": 95,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x14259e0b8>]"
]
},
"execution_count": 95,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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rVvfAwr9QmRMNIBaaqCanZryA/TRn0WyQzLnZRORAJpJLWdkVHS/oN11dtQp+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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x116782198>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.plot(x, daily_temps.temp[:1000].values, 'b.')"
]
},
{
"cell_type": "code",
"execution_count": 120,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import GPy"
]
},
{
"cell_type": "code",
"execution_count": 122,
"metadata": {},
"outputs": [],
"source": [
"kernel = GPy.kern.PeriodicMatern32(1, variance=10, lengthscale=1.2)"
]
},
{
"cell_type": "code",
"execution_count": 124,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"X = x.reshape(-1, 1)\n",
"Y = y.reshape(-1, 1)"
]
},
{
"cell_type": "code",
"execution_count": 123,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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SUwNE9rOOgAQwnivxp4FE1uHOmwgS6X5xXiLLKEikea8DKJhQ99o5BYn1ufyE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"text/plain": [
"<matplotlib.figure.Figure at 0x108261390>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"K_xx = kernel.K(X,X)\n",
"plt.imshow(np.asmatrix(K_xx), cmap='terrain', interpolation='nearest')\n",
"plt.axis('off');"
]
},
{
"cell_type": "code",
"execution_count": 173,
"metadata": {},
"outputs": [],
"source": [
"m = GPy.models.GPRegression(X=X, Y=Y, kernel=kernel)\n",
"m.optimize()"
]
},
{
"cell_type": "code",
"execution_count": 174,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
" /Users/fonnescj/anaconda3/envs/bios8366/lib/python3.5/site-packages/matplotlib/figure.py:1742: UserWarning:This figure includes Axes that are not compatible with tight_layout, so its results might be incorrect.\n"
]
},
{
"data": {
"image/png": 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DQCyeoLzWf9zkMbUnsyUpXFriopV6b5A4avQ6bZefm5ubx4YNmykqKqK6upqZ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\nwlVS49QPPbSVgoKi1E23c+cnAGg0Tgp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TTbcgNzcXVVXHWaVgZkyGLtrha7dq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\nQoRAgiYhhBBCiBD8f9iGWPZrSpQ+AAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x12510cf28>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"m.plot()\n",
"plt.xlim(0, 1)\n",
"plt.ylim(0,120);"
]
},
{
"cell_type": "code",
"execution_count": 184,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
" /Users/fonnescj/anaconda3/envs/bios8366/lib/python3.5/site-packages/GPy/core/gp.py:492: RuntimeWarning:covariance is not positive-semidefinite.\n"
]
}
],
"source": [
"draws = m.posterior_samples(X, full_cov=True, size=10)"
]
},
{
"cell_type": "code",
"execution_count": 190,
"metadata": {},
"outputs": [],
"source": [
"y_sim, MSE = m.predict(X)"
]
},
{
"cell_type": "code",
"execution_count": 191,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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kTj30BAB+sPYnbMvce575yWdX38izk+sBeOOpry6Sc3sxRtORHWKReb96tuXe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SePHLPjRNqquhWUUMyEcZHKtn1qbAqGswCR1shUVuOSHU0cdYdix44d3kH4HoBrARwAcBaA+co2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\ntbtlOqyfmarqTRQT6DAbkmQpaV6feJ34VOH/MWItG3MjRknC/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wghmQt7tRp84UHTCzvl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\nB6KD1dqAUop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"text/plain": [
"<matplotlib.figure.Figure at 0x16653ae48>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.plot(x, draws, color='SeaGreen', alpha=0.1)\n",
"plt.plot(x, y_sim - 2*MSE ** 0.5, 'SeaGreen')\n",
"plt.plot(x, y_sim + 2*MSE ** 0.5, 'SeaGreen')\n",
"\n",
"plt.xlim(0, 1)\n",
"plt.ylim(0,120);"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Question 3\n",
"\n",
"The data in `prostate.data.txt` come from a study by Stamey et al. (1989), which examined the correlation between the level of prostate-specific antigen (`lpsa`) and a number of clinical measures in men who were about to receive a radical prostatectomy. The variables are log cancer volume (`lcavol`), log prostate weight (`lweight`), age, log of the amount of benign prostatic hyperplasia (`lbph`), seminal vesicle invasion (`svi`), log of capsular penetration (`lcp`), Gleason score (`gleason`), and percent of Gleason scores 4 or 5 (`pgg45`). \n",
"\n",
"1. Select (your choice) five competing 3-variable linear regression models, and compare them using AIC, five-fold and ten-fold cross-validation. Discuss the results.\n",
"\n",
"2. An alternative method for model assessment is to fit the models on a set of bootstrap samples, and then keep track of how well it predicts the original training set. If $\\hat{f}^b(x_i)$ is the predicted value at $x_i$, from the model fitted to the bth bootstrap dataset, such an estimate is:\n",
"$$\\frac{1}{B} \\frac{1}{N} \\sum_{b=1}^B \\sum_{i=1}^N L(y_i,\\hat{f}^b(x_i)) $$\n",
"However, because the bootstrap samples tend to contain many observations in common among the set of bootstrap samples, this estimate will tend to underestimate the true error rate. The so-called .632 estimator aleviates this bias by returning a weighted average of the training error (average loss over the training sample) and the leave-one-out (LOO) bootstrap error:\n",
"$$\\hat{err}^{(.632)} = 0.368 \\, \\bar{err} + 0.632 \\, \\hat{err}^{(1)}$$\n",
"where:\n",
"$$\\bar{err} = \\frac{1}{N}\\sum_{i=1}^N L(y_i, \\hat{f}(x_i)) $$\n",
"Repeat the assesment from part (1) using the .632 estimator, and compare the result to the other approaches."
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>lcavol</th>\n",
" <th>lweight</th>\n",
" <th>age</th>\n",
" <th>lbph</th>\n",
" <th>svi</th>\n",
" <th>lcp</th>\n",
" <th>gleason</th>\n",
" <th>pgg45</th>\n",
" <th>lpsa</th>\n",
" <th>train</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>-0.579818</td>\n",
" <td>2.769459</td>\n",
" <td>50</td>\n",
" <td>-1.386294</td>\n",
" <td>0</td>\n",
" <td>-1.386294</td>\n",
" <td>6</td>\n",
" <td>0</td>\n",
" <td>-0.430783</td>\n",
" <td>T</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>-0.994252</td>\n",
" <td>3.319626</td>\n",
" <td>58</td>\n",
" <td>-1.386294</td>\n",
" <td>0</td>\n",
" <td>-1.386294</td>\n",
" <td>6</td>\n",
" <td>0</td>\n",
" <td>-0.162519</td>\n",
" <td>T</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>-0.510826</td>\n",
" <td>2.691243</td>\n",
" <td>74</td>\n",
" <td>-1.386294</td>\n",
" <td>0</td>\n",
" <td>-1.386294</td>\n",
" <td>7</td>\n",
" <td>20</td>\n",
" <td>-0.162519</td>\n",
" <td>T</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>-1.203973</td>\n",
" <td>3.282789</td>\n",
" <td>58</td>\n",
" <td>-1.386294</td>\n",
" <td>0</td>\n",
" <td>-1.386294</td>\n",
" <td>6</td>\n",
" <td>0</td>\n",
" <td>-0.162519</td>\n",
" <td>T</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>0.751416</td>\n",
" <td>3.432373</td>\n",
" <td>62</td>\n",
" <td>-1.386294</td>\n",
" <td>0</td>\n",
" <td>-1.386294</td>\n",
" <td>6</td>\n",
" <td>0</td>\n",
" <td>0.371564</td>\n",
" <td>T</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" lcavol lweight age lbph svi lcp gleason pgg45 lpsa \\\n",
"1 -0.579818 2.769459 50 -1.386294 0 -1.386294 6 0 -0.430783 \n",
"2 -0.994252 3.319626 58 -1.386294 0 -1.386294 6 0 -0.162519 \n",
"3 -0.510826 2.691243 74 -1.386294 0 -1.386294 7 20 -0.162519 \n",
"4 -1.203973 3.282789 58 -1.386294 0 -1.386294 6 0 -0.162519 \n",
"5 0.751416 3.432373 62 -1.386294 0 -1.386294 6 0 0.371564 \n",
"\n",
" train \n",
"1 T \n",
"2 T \n",
"3 T \n",
"4 T \n",
"5 T "
]
},
"execution_count": 46,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Part 1\n",
"prostate = pd.read_table('/Users/fonnescj/Teaching/Bios8366/data/prostate.data.txt', index_col=0)\n",
"prostate.head()"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>lcavol</th>\n",
" <th>lweight</th>\n",
" <th>age</th>\n",
" <th>lbph</th>\n",
" <th>svi</th>\n",
" <th>lcp</th>\n",
" <th>gleason</th>\n",
" <th>pgg45</th>\n",
" <th>lpsa</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>97.000000</td>\n",
" <td>97.000000</td>\n",
" <td>97.000000</td>\n",
" <td>97.000000</td>\n",
" <td>97.000000</td>\n",
" <td>97.000000</td>\n",
" <td>97.000000</td>\n",
" <td>97.000000</td>\n",
" <td>97.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>1.350010</td>\n",
" <td>3.628943</td>\n",
" <td>63.865979</td>\n",
" <td>0.100356</td>\n",
" <td>0.216495</td>\n",
" <td>-0.179366</td>\n",
" <td>6.752577</td>\n",
" <td>24.381443</td>\n",
" <td>2.478387</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>1.178625</td>\n",
" <td>0.428411</td>\n",
" <td>7.445117</td>\n",
" <td>1.450807</td>\n",
" <td>0.413995</td>\n",
" <td>1.398250</td>\n",
" <td>0.722134</td>\n",
" <td>28.204035</td>\n",
" <td>1.154329</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>-1.347074</td>\n",
" <td>2.374906</td>\n",
" <td>41.000000</td>\n",
" <td>-1.386294</td>\n",
" <td>0.000000</td>\n",
" <td>-1.386294</td>\n",
" <td>6.000000</td>\n",
" <td>0.000000</td>\n",
" <td>-0.430783</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>0.512824</td>\n",
" <td>3.375880</td>\n",
" <td>60.000000</td>\n",
" <td>-1.386294</td>\n",
" <td>0.000000</td>\n",
" <td>-1.386294</td>\n",
" <td>6.000000</td>\n",
" <td>0.000000</td>\n",
" <td>1.731656</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>1.446919</td>\n",
" <td>3.623007</td>\n",
" <td>65.000000</td>\n",
" <td>0.300105</td>\n",
" <td>0.000000</td>\n",
" <td>-0.798508</td>\n",
" <td>7.000000</td>\n",
" <td>15.000000</td>\n",
" <td>2.591516</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>2.127041</td>\n",
" <td>3.876396</td>\n",
" <td>68.000000</td>\n",
" <td>1.558145</td>\n",
" <td>0.000000</td>\n",
" <td>1.178655</td>\n",
" <td>7.000000</td>\n",
" <td>40.000000</td>\n",
" <td>3.056357</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>3.821004</td>\n",
" <td>4.780383</td>\n",
" <td>79.000000</td>\n",
" <td>2.326302</td>\n",
" <td>1.000000</td>\n",
" <td>2.904165</td>\n",
" <td>9.000000</td>\n",
" <td>100.000000</td>\n",
" <td>5.582932</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" lcavol lweight age lbph svi lcp \\\n",
"count 97.000000 97.000000 97.000000 97.000000 97.000000 97.000000 \n",
"mean 1.350010 3.628943 63.865979 0.100356 0.216495 -0.179366 \n",
"std 1.178625 0.428411 7.445117 1.450807 0.413995 1.398250 \n",
"min -1.347074 2.374906 41.000000 -1.386294 0.000000 -1.386294 \n",
"25% 0.512824 3.375880 60.000000 -1.386294 0.000000 -1.386294 \n",
"50% 1.446919 3.623007 65.000000 0.300105 0.000000 -0.798508 \n",
"75% 2.127041 3.876396 68.000000 1.558145 0.000000 1.178655 \n",
"max 3.821004 4.780383 79.000000 2.326302 1.000000 2.904165 \n",
"\n",
" gleason pgg45 lpsa \n",
"count 97.000000 97.000000 97.000000 \n",
"mean 6.752577 24.381443 2.478387 \n",
"std 0.722134 28.204035 1.154329 \n",
"min 6.000000 0.000000 -0.430783 \n",
"25% 6.000000 0.000000 1.731656 \n",
"50% 7.000000 15.000000 2.591516 \n",
"75% 7.000000 40.000000 3.056357 \n",
"max 9.000000 100.000000 5.582932 "
]
},
"execution_count": 47,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"prostate.describe()"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [
{
"data": {
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s28x5yRHMmTP1fKu1D7v9JnGZbXzRjzuDWPv6Ystmyrp1aOMyIEhNBA3kzphp83mObEVM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\nO+DKeEfixe6uaTTh7NqxlaGACOqK92FiiODwRNK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D8JhEunuihsjNHR3UhYaRPvkSImNT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\nYehLZLMii+rBd6gCXWYFhUcormwgYXwGxZWVFB4tYPasOb5uluAcQj7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e9Rf7L/AuOdkT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\ndXZ28vY7b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S3dIZ2b5c6I82Hlj64b9RpCCI6MlxqNn932RH+j/umnn7JmzRpmzPj+3MGM\nGTN46qmneOCBB3DkucB9993Hfffdd8HfXn/99cH/njVrlt0s867E1YksbIXMWlJaVkJA/GToGzC0\nvvYg6WnLbZRRK+Rfn3xDjzqJ1mYtP796NgVT7D99FPL7vC1pjj3Ka9vQtfcAUCDBsHczWclh+KiU\n9PUbKSxvJnuCNN/8i8Vo+tlw/lN44jjFVU1ETUihuGrgnFRebj6PrXsFgyaN4sPb0GnPEhloYK1V\nWJWtN+6REjuHqtEEYTB0EZ1WQM3pXQQGCItiMiMFn9ZoLqytCwyeUd99eL3bZHLFGcj2Dj1BYXHE\nZcygrnQv7R2d4ggr4xDWeRCeX/swLS0tdHV3kzhxJtVFX9PS0iLS3RSEx2cTEBpDeHw2MLpyn2JG\ndwh9GynGeOBoNRtbuM42wunu7kGl9ic+aw61p3fR3d3jdhmkii37zL5szgWh6XGxc4fYHxjyN0er\nGbn7SIn1/OTNa97hGOlYgdC3+NZtmEyJGDXpqHxb6erQ0dqj48k/v2E3uVxpWQk96iQqSgsJis5n\n1doXeO7Jh5yqpuGqfuOK9ZPoG/X6+nomTJgw5O/x8fG0traKfTuP4upEFvYm0oz0TGjZRFdvAAG9\nDTxzPpTDlnN838kn848Pt1EwZZoov8/b6xNaYw5791EpmJTuWF4Fd+LnqyI7OZQTFToKy5u5fn6G\np0VyKaPpZ8P7z9BFs7n9kLAolH7B+IdEo+ivIzAwcNh6nH293ycycWciF3uTS7OuifjMmYREp2Iy\n9qFrcSyZnFR82nJS9VRyLiFleBylu6uL0LiL6DMM/Lu7u0sESWUcxToPAkBTUxNxmTNQmPqJy5xB\nU1OzKPfKz8snVr2dXkMwsepm8nIdD6l3xQJQyIJbzPHAmbaamppIzJlHaNQEyJknmm0coaa2htjM\nGQRHpWA0GqitrXG7DFLFln2s52Bb9jeZTEP+Ntwm0VYlEE89VHZ3CUV3I8axAltHgPTr/4/Q+HyC\nQ6Poaj5Db0DckGzx1mSkZ6Kv2UBQ9MB1AT7Bwyb/FVrSz1X9xhXrJ9EPtmZkZLBnz54hf//000/J\nzMwU+3YuRa/Xc+z4UfR628nPBgaTUnQNZ88PJuJvlsyDwXCdSKFQEhwWR0hw6OBZVLNz/OfVmTzx\n4C/Jz8tHX3OAoOjMgU4eN5my8lK79xby+9yhA3dhMpk4eH6jnpcaQYCftLMx553P/l5Z105rx9h+\nsj/afmbpP2Z/Tk9LJ1bdjK+hcXDRbG6/qvgQ4Qk5JKXlogjLHuInlnL49Z5j7ap7Bv3M1QsE8+Ty\nt82lPLbulWHHpfS0dFpqiuhqraelpoi0NMfOckrRpz0pk0KhRBMWg0IhznR5w/U3oC37DoXSB23Z\nd1x37XWitCvjKAN5ELpaG84nOYPZl82hoWQPJpQ0lOzhslmXiXInjUbD2kfu4ZfX5g+WJ3MUywVg\nf1CGoDlcDMT0PWfaunLRYtrP7qOjqZL2s/tYdIVjOYnEICE+EV110UCfqS7ySOZ5qTKcfSznYFv2\nt/U36zWs5abccv7zlE+MBeztb8D+/kMIlm1oNBqe+d1DBBvKCPDpIULdhbqr0u54YH3dQK30C78r\ndH0Erh1LXbFWEf2MekxMDI888gg6nY5jx44RGBjIu+++yzvvvMMjjzwiqc269Rl1y3MFBoPB7tlE\nR85quIJTxUUcOackOiGN7n7fwTMkZtksz4jPnj6FXTs+JyAkCl99+eD59JEQ8vs8rQMxqahrZ/O+\nKgCWXZbKhNhgD0s0MpoAH7YfqgYgJjyQtPgQD0vkOpztZ3q9noeffI7tB6vZv38vj/7Pz5mYHMgN\nyweSkQy2H+tH2ZmT9BjVF+RxGE6OsLAwt52PG+7MmDWaQA0ffvQphr5+6G7kFz9d6ZC+pOjTnpJp\npDF2tJSWlXGy3hd1YCghYTEUZEeRmCgv+N2NdR6EqxbNo/h0MSdqffEPCkcTEsXk9BDRbOPsWVpb\nZ8rdMe6I6XvOtrVv/0Hqzp4mNTGaHy69wu3ngpuaGtmx7zgolZgM7fzgiukezzUgJezZx5b9h+sT\n1v5ia/7LSM/0iE94O5brod27dzJvVoHb9KbRaLhi7gzSo5XceM3VXDFvhqDxwPI6W98Vuj4C146l\njo5xQs6oi75RT0tLIzc3l82bN9PU1MShQ4fw8fFh1apVLFnintIJQrHcqFsnDYoO9+dYje+IRnfk\njIMrkjM50tnsdfLhELK4sPUdTyejGg1ffneWkupWfFQK7rhqIr4+ns+kPhLBgWoOFDfQ3mnA0Gdk\n9qR4t97f3TYeKeGXPTmskzldmpPIlEsLhmzCExOTmDdzit2HUyP5hKv0ItTfC08c54vdR+hq16H0\n9WXapHSHF5NiJ+gRQyeeSBrkigm9tPQMH370CX5BkdSc2cvCWZPkhFQeQK1WM3XyRALRcetN16HR\naM7b5mPUmnBqzuyRlG08+QBNLN9z5lzo4SOHeG/LHkwqDc1t7UzOSnT7Jjk8LJxDhw7TqdeTGhfM\nyh9d6zXrG1cj1D62+pKQ/jVc8kOxfcIb166O4onklpZ6tUxaaba9wWCwq/eR+slwc/Vwya5dOZY6\nMl56JJnc4cOHmTdvHvPmzRO7aZdifa6gp6eH1ord9PVOxa/33JCziY6ccbD1XfM9nUlk4OgZEsuE\nLseOH3VZ8g0pJKNyFKPJxP5T9QBMSo8k0F/aYe9mpmbHUK0tp7iqhbbOXkIC3TOxuNrG4p81sp3M\nydZ9nEk44kq9CPX3lpYWurt6SMiZT82pHR5JumTJaHUihbrTrij/093dQ39fH11tTfT39ckJqTyE\nXq/nyT+/QW/ABHZ89wbPr31Y8rYR+1ysO33M2bGxpaWFzg49CTlTPTqu+ar9iUvLxrer0iP3lwrW\nfcfV9hluLBbTJ6S+dhXPX51LbmlLjpFks6dXsRJWWpf0G6ldb8oxIPob9UWLFvHPf/6T8vJylEol\nCQkJqFQqMW8hGpZv1C2fxhh1RRSVnEMdO5lubSGP//auIan8HQmzOFVcxP6SHozGfvpVISSE9vHS\n394XpeSPo0+6XVFuyBpHdCMVSqvb+OK7swBcMyeNpGjHMmV7iuAAX746XI0JiIsIJCXOPeH6rrSx\nI31UqBzhYeHs+/ZrUKoJNdVxy/U/tHu8ZTThYa7u+0L8fdu2bdT2xaNSqggMiyPGr4OCggLRZHCU\n0ejEHeOUUMR+k79t2zbq+hPx14ShiUjwuH3GK4ePHGbrsVZ8ghPRtfdww+KpbNu2Da0inegJF+On\nCSfKt0WQbbzxLZy7fczZsVEK45orjsJ4I9Z9Z8nC2W6xj6ujqqS8dhXTX22th5zZQ9hbS9nTq/Ue\nKSPOx2G92yrpV1pWIll7mhHyRl302N49e/awatUqent7efjhh5kxYwb/9V//xb///W90Op3YtxMN\ny+QVK69dhCIsm8jYFDTxl1JXXzvk+44kDIiPS6Dk2A4aW7spObaDri69xxJguCP5hhSTUdljX9HA\n23S1j5LJmdLN9m5NQpSG+MiBJIIHTjW47b6utLEjfVSoHLaSOdm7j7mMW786iuKqJk6cLLQruzT6\nvpHa099iUiipPf0tCowekOF7RqOTsZ0kSFr2Gb8MTSanVvtSU7yLtqYqaop34efna7cVR5IYSQl3\n+5jzY6Pn/UYa47vnse47A3jePs4iZfuK6a/OJLe0JYc92ezp1XqPFBfr+DFOWzJI2Z6OIHp8b0hI\nCD/4wQ/4wQ9+gMlk4ujRo7z77rusXr0ahUJBYaH9xa6nsAwNV236xmb9QMvvCg2JrK2rIatgEYEh\nMXRGBhMQoEHVcWDE9l3FSLURxcIV4aKuxGg0DW5yJ2dG4a/2jrB3AIVCQUF2DJu+raCoUue28HdX\n2tiRPuqIHNahTvbv43h4mBT6fk5OLgkXGQjQhJFw0Uyys3PdLoMlo9GJO8YpTyE1+4xX8vMmkT1h\nGy2GJrInDDycXfaDH/KPjd+gqzpCoFrB1Vcts9uOVMoZOoq7fczZsVEKfiOF8V0KWPcdkIZ9nEXK\n9hXbX0cb+j2cHCPJZk+v1nukuvpaoqOjnZZLyvZ0BIXJZDKJ3WhzczP79+9n79697Nu3j/LycpKS\nkrjssst44oknxL7dqNFq24f9TK/XnzduhtPGvfCcROngGfWR2nfl2TExf9tYoKhSxx/eOQzAr66d\nREG2YwOEpzmn7eCxv+4H4JZFF3Hl1GQPS+Q87uqjWq32/JmmeUMmBr1ez6qnXqA3IAV1V+Woyyq5\nG71ez28eXUdjt5oo/16e/f2DXiG3NWN1nBor9hkL2OpjlZWVbPzoQ1Zccx0pKSmC2rCe373Fnt7k\nY3q9ngef+DNd6kQCeqtZ99h9kpd5LGM9d8r2GT2O5OSRgr/aksMZ2YYbQ0eTI0gK+nGE6Gj7x1VF\n36j/8Ic/pKSkhNjYWAoKCpg5cyazZs0iKUl6JSxG2qiLjSMdSMjEby9xg6eTMHkTGz4/xddHavBX\nq3j+njn4+kgzp8JI/G79d1TWtZMSG8zjd0zztDhegVA/E+K3lj4HzieKdAZve8Bg1l18XAK1dTVj\nftzS6/X89vE/olfFo+mv5Y+/++2Y/r3exPe+MwF1V5Vg3xF7gSjP4bYZ6cGqu5BtM3TufPaJ+wFp\n2MfbGO2Y4+3o9XoKTxwHFOTn5QMXvrz05gegjiBkoy56jK9KpUKpVBIVNVAbNikpiZiYGLFv43U4\nEmZiL5RupEyGUs9aKTUMff3sLxoIe7/0omiv3KQDzM6Po7Kuncr6ds41dJAU4x3J8DyJkJBVIX5r\n6XOmls8wmYwowyd6zP9Ky0pQhGUTF5OMrsFf0qG4Zt0ZNGmcPvgqmRfPx693bI9bBw4eoK4ngpDY\nZOrqezh48KDXVUkZqxSeKKS+N4KgkGh0rR2cOHmC6dOm271uPGWe9hR6vZ6nX1xPf1AGuw+v94he\nZNsMYD13gjTs442MdszxZsyJeourmgiPzyZWvZ21j9xzwRjqrUeKXIHoyeQ2btzIzp07ueOOO2hs\nbGTVqlVMnTqV22+/nddee03s241J7CVAGClxg/mzoLAo6vUqPv7kI69JbuMJjpQ00dnTB8DsSXEe\nlmb0zMiNRaUcOEO9u3Bo8kOZoYiRaESr1fL6G/9LlzqB8JhkegMm0GII8mgStIz0TEwtxdSdPY2p\npVjSCVTM41VgSDRhqTNAqbCpN3NJybEwllVXn6Pp3Em0FUdoOneSmtpznhZJZhATuppT6Fvr0dWc\nAkQ/GWgXW/P7WOr/o6W0rASDJg3/4EgMmjSPjK2lZSX0qJPoM/TQo04aY0kuhWM9d4I07DMS0vUh\n66SW7h9zXI217kvLSmjp1RA1YQpBUWn0BqQ4nIBODDm8BZdkzYqIiBhMKFdWVsY777zDv/71L/bv\n38/dd98tuJ0//vGPfPXVVyiVSq6//np+8pOfXPD5mTNnWL16Ne3t7Vx00UWsW7cOf39/kX+N+7GX\nAMFW0gTL8FGjbhPfHWkkMDKdv2/cz56j5fy/1ffKTzdtsPv4wKY2IsSPnJRwD0szeoID1VySGcXB\n01p2H6/junnpXhsd4C6cTTSi1Wq59VePEpYynbMnPmfyZaDuqsLX12gxuQxN+OKO0EmTyYi+tRFf\nX2ln3jWPZZ0mIy0V+4i6eP4QvYn9FsvToatTLp1C998+Jjwpj+6OZi6ZfKnbZZCxTXpaBoZOHXUl\n36EwtJGWmu52Gazn97jYufJbXAYyQxftfxF1eCq9ugrifjrfIzKUHHuVsNQZtFTsI+6uRW6XQQpY\nz50gDfsMh5QjIayTWubl5ntaJFGxpfuM9EzC1Jsorqo6/0a9mbjYKzl2/OjgvCx2Ijgp9wF7iF5H\nvaWlha+++oo333yTJ598ktdffx2TycQNN9zAww8/TFRUlKB2duzYwebNm3n//fe5/vrrefDBB5k/\nf/4F9cz/8z//k4cffpj777+fM2fOsH//fmbNmiVYVss66lLDsl6kdY1WtVrNnOmXkBat4LplA4Ok\nuYbht7u+4tolsyhvVhMYmYo6MIyeXgO+Bi0TJqR4TY1Xd9Da0cNbX5zGBFw+JYm81AhPi+QUgf4+\n7DlRT2+fkZiwQCbEuqemuhQRWtfYXl3Wkdr5fMtmyjqiCYtNxy8wjEtiddz/61+yaN7MQd+0debd\n1bWLTxUXceisgoj4DAyKANKjlZKrHWrGPJalRyu57UfLyUkOGKI3R2rb2rO7FOqzf/HlFqq6YgiO\nmICfJpRIdSuT8ie5VQYZ2xSeOM6O70qITplMT2crU3KTSEwcXX4doWOQvfm96myl5GsBu4PCE8f5\nav9pwmIz6e7QOWWb0VJaVkJZazCBwWFERCeSk+Q/Lm0BQ+fO4ewj1A9Gi5D2pVwfXa1WM29WAbmp\nodx4zdVes3m0h9kuNTU1HKvxuUD3SUnJzJtVQH5GDLPy47nmqit4+sX1Q2qzi/lAXap9QEgdddHf\nqM+aNQs/Pz9mzpzJL37xCxYsWDCqpBLz589nzpw5ADQ2NmI0GgkICBj8vK6ujo6ODqZOnQrAjTfe\nyK233sp9990nzg+RCMM9BbI8E3fs+NELznIEBPgTYKimQdtNS+1pTL3tbA+PY/fhV7zqKZKr2XOi\nHuP5XIqX5Xtv2LuZvNQI4iMDqW3qZOuBs8yeFIdCYb+k2FhDrCen9tqZN3c+f3n3UQB0FXu55Ie3\nACOfV3XHuav4uASKD7xMSPJU2s4ekNSbDVtY6svWXCG0LI0Qu0vh3JtGE0xdyRYSJ2qoK9mP5sob\n3Xp/mZFQEJGUgyY8AUy9CCnJaAuhY5CQ+X0slyp0DAURSRMJikwCk4HR2sYZQkPCOLL7E+JyFlB3\n6mtCfjzT7TJIl6H2uTBR2meiJ0oT6mdS9yExc1xIAbNdetRJtFbtITQ8ZojuNRoN06fNAIbuYU6c\nLORfn3wj6ttvqfeBkRB9o/7yyy8ze/Zs/PzsPyWwh0ql4rnnnmP9+vVcddVVxMZ+//Sjvr7+gv+P\niYmhvr7eofaVSgVKpbQ3MhWVZRiDM4iISUangMqqci6edKFDZ2dl4fP+l7RowUdfxkWZ81CptqHu\n6SBI1UHspDnEJGeia/Czeb0U6etzbciuyWTi2/NnuTMSQoiP9P6HFwqFgkUFSfzji9NUNXRw5lwr\nWclh9i8cY4i1GbPXTnR0NP94+fds3baVncZ4/r1Xx8dbR34Y5o7Joqy8twFsJAAAIABJREFUlH6V\nHz36ZvpVfpRXlHl1Bl6hIXBC7C6FybpZ10jkhMkY+3uInDAZXUuT22WQsU16Wjq6yr/Sb1TSdvYQ\naanXj6odoWOQ0ISWY6EWsLPk5+UTq95OryGYWHUzebl5bpdh97c7iUwtwGTsJzK1gG/37BZUwm88\nYMs+rk6UJtTPZB9yL+ZcDhWlhQRFX4q+s5hf3JBEXq5t3VvPyyZTougP1L25D4iyUd+4ceMF/795\n8+Zhv7tixQqH2r733nu5++67ueuuu3jvvfe48caBtw/9/f1D3haqVI6dyY2I0Ej+jeO0qZN568Ot\ntDUp8O+pZGrBDUM6WHi4hlf+8ACnT58hK+sGiotP4xs1kdyYCTTVZdB+bh9tTaHDXi9FXF06r7Sm\njXPagYQSsyfFu/Re7mRWfhzv7yijq6ePzXsrx+VGXazNmJB2oqOjycvLZV+Vn6BJxT2ThYKopHyC\notLoaAzHE2+exEbIGwch9pLCZJ2elkHHR/9HVOoUOrRlpKXJ5RSlQm1dDRdNXghKBbERC6mrrx3V\nQy6hY5DQ7421N26jQaPRsPaRe8777jUe8d3ExCTa6vcSkzGd5rPHSUyc4nYZpIpt+wwkSlP5as4n\nSrtE1Hs6MtfLPuQ+MtIz0ddsICg6n+DQKAIigwkI8B/WZ23lPFBt+kb0B+re2gdEqaOek5Mj7GYK\nBUVFRYK+W1JSgtFoJCsrC4C3336b8vJyVq9eDUBtbS233XYbX375JTAQCn/77bezZcsWwXI3NXVI\n/o06mJMflZKRLqxGq16v55G1L9MflI6qo4xH7v0JtXV1gq+XAq5+o/6XT06w50Q9fmoVf/rVbAL8\nXJJX0SN8sKOUT/dUAvDYT6aSGhfiYYncj1h1jYW0I7V6n95WR11MxK5n7Qr0ej0PrPkjzb0BRKi7\neGaNXEddKojpy0L7ojf0WZkBZN91DHMZrhZDEGG+HS5Jaiz7jzTRarWsWvsCAXGT8dWXOzyWjhe7\nCqmjLspG3RVs2bKFN998kw0bNmA0Grnrrru46aabWLp06eB3rrnmGh599FGmTp3KSy+9RFtbG6tW\nrRJ8D1e/tfUk46WTj4a2zl5++/Ju+vpNLJySyK2Lsz0tkqh0dBm4/9Vv6entZ3JGJL++cbKnRRrz\nSM3fpCaPzIXI9pEusm1kRkLuH44h62v8ItvePkI26qLXUReLJUuWMG3aNK655hpuuOEGZsyYwdKl\nS7nzzjs5ceIEMFC+7Y9//CPLli2jsLCQe+65x8NSux6hdQDNIR6ycwxl17Fa+voHnk8tvDTRw9KI\nT1CAL4sKBrLhHi1torS61cMSDcVb61kOhxT9TaLPYGXOI9tHmkjRl4djrI2j3oLsu8Iwl8KUN2rj\nE1ePpeNl/JPsG3V34G1v1KUWYuuN9BuNPPTaXprauslKDuOhlWPzjFlHl4EHX9tDV08fafHBPHLb\nVJQSyccg92PXIutX2sj2kREDuR+5H1nnwpF1JeNKxkr/8uo36jJDscxw2R+UQVl5qadF8jr2FzXQ\n1NYNwBUF7q3B6k6CAny5Zk4aAOW17Xx7vM7DEn2P3I9di6xfaSPbR0YM5H7kfmSdC0fWlYwrGU/9\nS96oexEDGS5L0TWcPZ8JMcPTInkVJpOJz/YOJFmLCQ+gIMt7S1YJ4fIpicRHBgLw3tcltHX2elii\nAeR+7Fpk/Uob2T4yYiD3I/cj61w4sq5kXMl46l9y6LsTmM/fZKRnui3kQk7OMHqOljTy/PvHALh9\naTbzLxl759OtOVnRzB/fPQJAQXY0v1yRL4mShPb6sSd8ayyh1WrZuesb5s6Z59U11Mcqsn2kizeN\nPeNtPSAF24w3nTuCtX1kXUkHKfiO2IyF/uXVWd/dgTMb9bFyPmK8YDKZeHLDQcpr2wgNUvPM3Zfh\n6zM+Ako2bCnm68PVAPx8WS6z8uM8LNHIyL7lHLL+pI1sH+ki20a6yLaRNrJ9pItsG+kin1F3IePp\nfMRY4ECxlvLaNgCumpEybjbpAD9amEF0mD8wsGk/p+3wsEQjI/uWc8j6kzayfaSLbBvpIttG2sj2\nkS6ybbyb8bNbERnz+QjtuRJaK3YTFxvvaZFkhqGv38gHOwYGpqhQ/zFZkm0k/NU+3Lk8D5VSQY+h\nn5c+OI6+2+BpsYZlPJ09skaMciMZ6ZkYdUWUHt+NUVc0rvTnDcj2kS6ybaSLVOaF8VISylHEto+s\nZ/GwZRtZv96Das2aNWs8LYSn6HQiuZZarWZKfhZffLEJTdJU9uz6mjnTL0GtVosooYwYfPHdWfYX\nNQDw48VZpMTZDzUZa0QE+xOqUXO0pAl9dx9l1W1MnxiDSiW9Z3VqtZo50y8hLVrBdcuWjJsQLXN4\n2qEq2PHVF6MeTwwGA9t37kcVnIhPXxtXzJshj0sSQraPdJFtI12kMC+INUaPRcS0j6xncbG2DSDr\nVyJoNH52vyO9VboXUVtXgyb+UiJjU+RwEonS2NLFxl1lAKTFBzM9N9bDEnmO+ZcksuB8NEHx2RZe\n++gEff1GD0tlG41Gw6T8i8fNJh3EC08rLStBEZZNXPJFKMKy5XFJYsj2kS6ybaSNp+cFOYR4ZMSy\nj6xn8bG0jaxf70LeqDuBVEKxZGxjMpnYsKWYXoMRpULB7UtzUEog47kn+fGVWUzNHsgyfaSkkVc3\nFtJr6PewVDIg3ngij0vSRraPdJFtIzMScv9wD7KeXYusX+9CzvruJGOhPMBYZcv+Kv61vQSAq2ZM\n4MaFmR6WSBoY+oy8+MExCsubAchKCuW/rr+YoABfD0smI9Z4Io9L0ka2j3SRbSMzEnL/cA+ynl2L\nrF9pIJdns4MYG3UZaVJS3cq6tw/RbzSRHBPE6tsK8PVReVosyWDo6+cvn5zkQLEWGEiy94sV+aTF\nh3hYMhkZGRkZGRkZGZmxjddv1P/+97/z4YcfolAomDRpEr/73e/w8fEZ/HzXrl389re/JT5+IOP6\nxIkTWbt2reD25Y362KS+uZOn/nGQji4DfmoVj/9kGnERgZ4WS3IYjSbe2XaGbQfPAeCjUnDNnDSW\nTJ+AjwSTzMnIyMjIyMjIyMiMBbx6o37s2DFWr17Ne++9h5+fHw888AB5eXncfvvtg9955ZVX0Gg0\nF/zNEeSN+tijua2bdf88hLalGwXwy2snUXD+TLaMbfYU1vHmllP0GgYSyyVFa/jx4myyksM8LJmM\njIyMjIyMjIzM2EPIRt3H7jc8RGhoKI899hh+fgOp63Nycqitrb3gO8ePH6enp4eNGzeSkJDAY489\nRmzs+M3qPd6pb+7kj+8epqmtB4D/uDJL3qQLYFZ+HClxwfx9cxGl1W2c0+p5+u1DXJIZxXXz00mK\nDvK0iDIyMjIyMjIyMjLjCsm+UbekqamJG2+8kWeeeYapU6cO/v3hhx9m2bJlzJ49m3feeYdPP/2U\nt956y4F2O1Aqx3cWcKnS1+dY2bAjZxp5Y9NJOnv6ALh+fjo/mJXqAsnGLkaTiR1Havjg69JBPSqA\ny/LjuGZOGlFhAZ4VUEZGRkZGRkZGRmYM4NWh72bOnTvH3XffzfLly7nzzjtH/O60adP46quvCAoS\n9gbQZDKhGOfluqSK0GMJHV0GPthRyo4jNQAoFAMlyBZOSXKleGMafbeBz/ZWsvXAOQznH5iolAqu\nmjmBa+emyz4jIyMjIyMjIyMj4wReHfoOUFRUxF133cVdd93FypUrL/ist7eX9evXD9m8Wyabs0dz\ns15+o+6ltHX28tWharYeOIu+e+Dtb0igL3ddk8/ElHAPS+fdaPx9uXFBJosKkvl4dzk7j9bSbzSx\n6dtK5k9OJDLU39MiysjIyMjIyMjIyIxpJLtRb25u5uc//zlr1qxh0aJFQz5Xq9V8+OGHZGVlsWDB\nAj744AMmT56Mv7/wTYTRaMJolHRAgcx5jEYT57QdlFa3crikkZPlOowWwSAzc2O56fJMQoP8PCjl\n2CI82I/bl+awdMYEtn53jgB/H8KDZf3KyMjIyMjIyMjIuBrJhr7/+c9/ZsOGDaSmpg6GqM+fP5+m\npiYuv/xyFi5cSFFREY8//jhdXV1ERkaybt06h5LJSS3ru16vp7SshIz0TDQajafF8Tg9vf1s+a6K\n4qoWymrb6OntH/Kd/LQIll2WKmcol3Ep3uab3ibveEO2j3SRbSMzEnL/EB9ZpzKWjKf+MCbOqLsS\nKW3U9Xo9j617hf6gDFQdpTzx4C/HfAe1x4fflLLp28ohf4+LCGRqTgwzJsaQKGckl3Ex3uab3ibv\neEO2j3SRbSMzEnL/EB9ZpzKWjLf+4PVn1McTpWUl9AdlEB6TjA4oKy9lUv7FnhbLo+SlRnCwWEtw\ngC8ZiaFkJoaSnhhKqEbtadFkxhHe5pveJu94Q7aPdJFtIzMScv8QH1mnMpbI/WEo8kZdImSkZ6Lq\n+AIdoOooJT1tiadF8jjZE8J56uczPS2GzDjH23zT2+Qdb8j2kS6ybWRGQu4f4iPrVMYSuT8MRQ59\nlxB6vZ6y8lLS0zLGdKiHjIy34W2+6W3yjjdk+0gX2TYyIyH3D/GRdSpjyXjqD/IZdTtIbaPuTYyn\nZA9SQNa3jIw0kH1x7CDbUhrIdvA+ZJtJl7Fqm7H4u+SNuh3kjfroGG/JHjyNrG8ZGWkg++LYwdqW\nzz5xv6dFGpfIPuV9yL4jXcaqbcbqOCFko650gxwyYwzLZA/9QRmUlZd6WqQxjaxvGRlpIPvi2MHa\nljKeQfYp70P2HekyVm0znscJeaMuIwi9Xs+x40fR6/Xnkz2Uoms4ez7Zw9gZDKSIs/q2tJ2MjMzo\nGY0v2vI/2Sc9j7Utzci2cS/etp6Q+8fwviMEWX+uxRnbSBlnxglv73Ny6LuMXWyFnADjJtmDFBht\nco2xGi4kI+MpHPFFW2GIsk9KB2tbyrbxDN6SPEruH98zGpvJ+nMP3uJPjjIW+5wc+i4jCrZCTjQa\nDZPyL5ZUhx/LjFbf4zlcSEbGFTjii7bCEGWflA7WtpRt4xm8ZT0h94/vGY3NZP25B2/xJ0cZr31O\n3qh7Oe4I6bAMOTHqiujs7PLaEBIxcaXuxWrb28IKZaSPt4eROYozv9dWGGJGeiamlmLqzp7G1FIs\n+6QHsbatt9pmvPmkp8hIz8SgPU7Roe0YtMe9pn9IBVcc45P7vowZW31hLOxfVGvWrFnjaSE8RWdn\nr6dFcApzSMehKtjx1RfMmX4JarVa9Puo1WrmTL+EuKBujp+qoLBO7dL7eQOu1L2YbZttlxat4Lpl\nS8bcE1YZ9+KuMUcqOPt7rf1PrVZjMBjY+s0e2jv78Ff2sGjezDGtQ6libdslC2d7pW3Gm096ktbW\nVt54eyPq8Axqq4r54eJ58pzqAM6sR2z1c4PBIPd9GWD4cVDq+xeNxs/ud7zijfq7777LihUruPba\na1mxYgXTp0/nwQcf5F//+hdz587l2muv5dprr+W5557ztKhuRUhIh1hPGzUaDf7+/ijCsr06hEQs\nnA2nGckuYofqjNUwKBn3I/UwMrHfrojxe22FVyvDJ5KRfxnK8ImS0+F4obSshB51En2GHnrUSYN/\n8zbbDNdH5TeN4vPNzh2EJE1BpfIhJGkKu3Z/42mRvA4xj/FJfT6yheyXrmGkviBk/yJlu/h4WgAh\n3Hzzzdx8880AVFRU8LOf/Yzf/OY3PP/88zz++OMsWrTIwxJ6hoGQji/QwfkwoiUXfH5hEoUvnE6i\nYO9+4wlndGHPLrKeZaSKlPum2OMduOb3SlmH44n4uARKjr1KWOoMWir2Abd4pW1syewKX5CBqQXT\n+NMbq4mbuIC64t1MufdJT4s0bhjON73JX2W/dB32xu6RPpe6Xbwu6/tPf/pTVqxYwfLly1m+fDkJ\nCQnU1taSk5PD6tWrCQ62n0HPzFjI+j5SFsRjx4/yt82lhMcko2s4y39encmk/Itddr/xxmh1IcQu\nsp5lpIpU+6Yrxjtwze+Vqg7HE8eOH+WNz84QGBJDZ1sDLzx4A+CdtrGW2VW+MN45dvwof9lUjE9A\nGH1dLdz5wxxZr27Elm96k7/Kfula7PWF4T73pF3GXNb3AwcO0NTUxPLlyzGZTCQkJHDvvffy0Ucf\nERMTw5NPjr+nmyOFEbkikZgcRv09o9WFELvIepaRKlLtm65KnOiK3ytVHY4nMtIz8dWX093eiK++\nfPDv3mgba5nlJKKuISM9E3VXJabeDtRdlbJe3Ywt3/Qmf5X90rXY6wvDfS51u3jVG/Xf/OY3zJ07\nlxUrVgz5rK2tjSuvvJJ9+/YJbq+pqQOlUiGmiJJDr9dTWlZKRrr0nzZa0tdn9LQILsWbngLLXEiv\noZ8jJY3UNXcSHuxHQVY0gf6+nhZLBtmvZBxjLPeXsfzbPImsVxlnkPuPNPGUXYS8UfeajXpfXx/z\n5s1j69atBAYG0tzczObNm1m5ciUAOp2OZcuWsXv3bsFtmkwmFArnNup6vZ7i4tNkZ2fJTicizhxL\nGHg4UUJGeqZsExlROVHezBufnqS14/uKEYF+PtxxdQ4F2TEelOxCZB+QNrJ9pItsG5mRkPuHe5D1\n7Fpk/UoDIRt1r0gmB3D69GlSUlIIDAwEIDAwkJdffpmCggJycnJ46623HE4q19ysd+qNul6v55G1\nL9MflI6qYyNPrfqV3OE9jNSTQsh4LweLtby6sRDj+WebPioFff0mOnv6eOXfhdy9Ip9pOZ7frMs+\nIG1k+0gX2TYyIyH3D/cg69m1yPr1Lrxmo15VVUVCQsLg//v7+/Pss8/y0EMP0dvbS3p6Ok8//bRD\nbRqNJozG0QcUFJ8+TZ8mnfDoZHQmOH3mjJwYwsNYlmjQAWXlpbJNZJymvLaN1z4a2KSb36BPyYqm\nuKqFVz8qpL3TwBubTpIUrSE+0rMTnuwD0ka2j3SRbSMzEnL/cA+ynl2LrF/vwmuSyS1dupRnn332\ngr/NmjWLjRs38tlnn/HSSy8RFBTkVpnETkAgVh0/KdcDdDVSTwohNdtITR4p0tXTx/9+fIJ+owk/\nXxW/ufkSCrJjUCgU5KSEc++Nk/FRKTD0GVm/+dTgG3dP4UofkPuL41jrLCM9k96Goxze8QG9DUcl\nN0aNZzLSMzHqiig9vhujrki2jQVS8H1PyyCV9YWn9TAco5XL1hgpBT2PVaSsX0f6kFT9QGy85oy6\nKxCjPJtYCQguDEUpHXUoiljteDNSTdYhNdtITR6p8n/bS/h8fxUAP716InMujh/ynU92l/PvnQOZ\no3+5Ip+pHg6Bd1VJMbm/OIa1zp594n60Wi0//uUjhKXMpKVyL2+98hTR0dGeFlWGAXuteuoFegNS\nUHdVsvaRe+Q+jjR8XwoymOXw5PpCKnoQS67hrvO0nsc6UtSvI31Iqn7gKGOuPJsUEas0hGUoSn9Q\nBmXlpYKvtXyq5Gg71k+kxsLTLKmU67DWjzM2Hq5NZ653RB6p2trV1DV38uWBswBckhnF7ElxNr93\n1cwUokL9AfhoV7nH36rDQLJMMRGj/45lbPlI4Ynj1LaY6O5so0edBMA3O3fgG5ZKVeF2fMNS2bX7\nG0+JLGNFaVkJirBs4pIvQhGWLbiPCxkfXTGGunpcNrdfeOK4x31fKuNPY2MjW7dtpbGx0SP3l4oe\nhK5v7K0xh7tOKuu44ZDKmmi0ckhRv470bfN3g8KiqG0x8d77/2Lf/n1D9CAVOzmD15xRH+sMhKJ8\ngQ7Oh6IsEXSddVKIh/77J4LbsXXt0y+uF5RgQk5GMTK29DNaG4/UpiM6H21fsb7u2Sfud0hub+a9\nr0roN5rwUSm4+YrMYatE+KiULLsslfWbT1HdqOfomUYuzfLMW1JX+aaz/XcsY0vnABve20JNtZYu\nNHTWfgvcQkJ8PPWVH5Ccv4izhVuJi53vWeFlBhlNHxfib67wSVfPwZbtm1qKMZmMHvV9KYw/lZWV\n/McvVhM3cQHv/2I1/3z1SVJSUtwqgxT0YGtNYEsuIWtMKfweR5HK+lcqcoiFI31h4JjSJvYeqqO3\nu5f11ZXEHe8lVr19MBJqrOhHtWbNmjWeFsJTdHb22v+Sm1Cr1cyZfglp0QquW7ZEcGc6VVzEoSoI\nj0mm06AiK0HNdcuWCGrH+lqFvpKKjojB/0+LVhAbEyvo2pG+Ox6xpZ+kpORR2XikNh3R+Wj7ivV1\nS2dPdEhub+VsQwfvbDsDwOJpE5ieO7KuE6M17DxWQ3dvP/ruPi7Lt/323dW4yjdHO0aNB2zpvFnX\nzNeHa9HEZBESmUxkVDTLFlzMS6+8RF/kdMJiUvHTRNBcvocrrnCsYomMaxhNHxfib67wSVfPwZbt\nd/f7svLqS5meG+Mx35fC+PP3N/9GszqHsOg0fALD6Ko/yswZM90qgxT0YGtNYEsuIWtMZ9dFnkAq\n61+pyCEWjvRttVpNRIgfx0p1KP3CCEuYSFB4EqjUZMb5EhsT6xX60Wj87H7HK0Lf3333XVasWMG1\n117LihUrmD59Og8++CBnzpzhpptu4uqrr+bXv/413d3dnhbVKUYTimJOCtFUX4m+5jBxsfGC27FO\nKDF3zjzBCSaknIxitIgZIjOcfpwJN3JW57auFyKP9XXjhU/3VACg9lGydMYEu9/3USlZcEkiMFBv\nvb6504XSDY8rfVOK4XKO4opQOFs6z0jPJEytp6nqEPrmCvx6Bo5Q3HH7HVSf2EpLQwXVJ7Zy2623\niyaHjDg4cmxEiL+5widdPQdbt5+XmycJ3/dkWqXrVlxPXdHXtGjLqSv6mhXLr/WIHJ4eh0daE1ja\nR+ga09O/x1Gksv6VihxiYJ6XAcF9IT8vnxiNga62ahpK96NvLkfdVTmoh7GiH69LJldRUcHPfvYz\n/vnPf3LnnXeyevVqpk6dygsvvEB/fz/33Xef4LbESCYnBbRaLQ+sWYcmvgC/3nMOhXdYJ5RwJMGE\nFJNRjBZXJKZwVUIvZ9oc7fVjydZCqGvu5JHX92ICFhUk8R9XZgm6rqWjh/tf+ZZ+o4mrZ6ZwwwLP\nZQUeT/YSiisT0NjSuV6v58TJQkBBXm7e4Bj73w+s4UxZJRelp/DiM2tkG0kEZxJi2fM3Kc4Hnm7f\nUVmkkDyqsrKSjR//mxXLr3V72LuUsLV2FJIUTkp9yhmk8jukIoczOOPb5jm2u7sbf/+AwXnW8nMp\n60dIMjmvC33/n//5H26//XYSEhJ49913eeihhwCYMGEC69at47bbbhPclpRC352htKyEIm0QkfFp\nDod3qNVqYmNiUavVNv/fkWu9GVeEyLhCP862Odrrx5KthfDxrnLKattQKRX8YkU+AX7C0nn4q30o\nr2mjXteFrr2HRVOThj3X7krGm72E4spQOFs6V6vVJCYmkZiYOPj3U8VFnNRqyJtxFSbfEEmG441X\nRts/hPibFOcDT7fvCFIJYw0LC2PmjJmEhYW5/d5SwrpvDGcfZ9aYUkYqv0MqcjiDM75tnmNTUlIv\nmGctP5eyfsZM6LuZAwcO0NTUxPLly6mvryc29ntDxsTEUF9f7zHZxMqWPpqwzPi4BFordqM9V+LV\n4R2eROwQGbMdtVqty7Poj4WsllKip7ef3YW1ABRkRxMR4u/Q9TPOn2VvbO2mtKZNdPnGC67o1/Fx\nCehrDtNUX4lRV0RnZ9ew7bvKrzLSM+k49x17tvyDjnPfyeO1hMhIz8SgPU7Roe0YtMcF28ZWX5HH\nZXEZrW3ERqvV8sGH76PVaj1yf6kitn2E+o/sZ9LH3npY6PrbmSpV3oxXZX1/5513uOOOOwDo7+8f\n8qZKpVI51J5SqUCpdP5tl16v5/FnXqU/KB1Vx5c8tepXI4a/DfddR9qxbG/dS28SkjKLrrpj/P6x\newgNtR9KIXX6+oxuvZ9Go+GJB395PkTGuYQm5jCeHnUSJcdeJatgEb5612TRHytZLaXE3pN1dPX0\nA3D5lCSHr7/koijUvkp6DUb2nagnMzFUbBHHPK7Kkv30i+vxi8pFV7aT0LBo3vm6GtWmb4a070q/\nOnu2iuPFFSTmXsHxk9s4e7aKnJzxkaBR6nR2dlJSUU1I8lRKKg7Q2dkpaA62lfFfHpfFZTS2ERut\nVsutv3qUsNQZ/OXdR/nHy78nOtoz1T2khpj2ETr+yusf6SNkPSxk/e1MlSpvx2veqPf19bFnzx4W\nL14MQHx8/AVv0LVa7QVv2IUQEaEhPNz5fyorS2jq9iUsIgZCM9Bqa4b9bkNDNYRmEB2fMvhdtRrK\ny09TWVky5DN7925oqMYQkISCfgJic9HrW0X5TcP9Y5ZVrcahzxz9xxOIldDEXN8RBYSlzsDXPwSt\n3pcTJwuHfQJYWlZCjzqJ7s426lpN58+1Cr+XXAtdHEwmE18dqgYGsrhflOT4Jttf7cMlmVEAHChu\n8EhN9VOninjw4Qc4darI7fcWA1fUCja3GZ2UiSIojf6gdJvt6/V6Pt+ymR51kktqFf/9zb8Tlz0X\nhcJEXPZcNvzjTdHalnGMyspK/vz8n6isrAQGatyHJF6KCRMhiZcKqnFvq6+K3X+lPHY7I5sj147G\nNmLzzc4d+EVmUl92CL/ITI/IIFXEtE9pWQl6RTTamoF/D+c/UqkpPxxS9lt3Yb0eDgyJoUedxJYv\nPr9AL/bW39a23rnrm8H/N7dn/cbeUv/ebAuveaN++vRpUlJSCAwMBAY26oGBgRw4cICpU6fy/vvv\nM3++Y/Vom5v1Tr9R1+v1vLLhU7r6w/l2+4fkpEQRHb0Unc52Z4iJSYTWjWj7Tag6ytBo5vLL+5+h\nPygdo+4UCqVy8LOR2jETFBTG6cNfE5oyg9bKfWjuWmT3mtGi1+t5ZO3L59/4bxwSDTDcZ+MNcy3I\nPnUSTaW70Z0LJjwhhw3vf4lSuRVl+MQhTwDj4xIoPvwiBkUg4fEXseH9L8nLzReYud/xWuhj+emj\nM1TUtVPV0AHA5Zcmjvp8eUF2DPuLGmjV91JZ105afIiYYo7IqVPiYnL7AAAgAElEQVRF3P7r35OY\ndwW3//r3vPn8o173xtYVtXUt2wxT61F0VaJr8L+gfbOfGDRplBzbAYBf7zlRa/uuWH4N9zz+Esn5\ni6g5tZOHfvdforUtIxzrmti7P/sHebl5VP3vgO9UF21j4t2P2m1nuL4qVv+V8tjtjGyOXjsa24hN\nelo6taUfkJS/iHOFW0lNudztMkgVMe0TGhLG8e+2ETdxARXfbSPkpwttfk/KNdil7LfuxHI93FKx\nj7YQNWXHdqL0XcTuw68I1ou1refO+Qm7D69H29tDybEdGJnL6+88OvjG3vKNu1G3CYVCiSIs2ytt\n4TXJ5A4ePIhWq2XJku8dcdq0aTz55JOsX7+e7u5uHn30UYcSBuj1PRiNJqf+OVl0ksNnlSSmZKH2\nC+C2H04lZULqsN/38fFl9vTJpEYpuG7ZYioqKzlYaa5VquY/ll7M9ImxXLdsMQEBgXbvf6bkDJUd\nYUTHJRMSEctFcWqio2Kc/l3D/VazrJ0GFSmRDN5rpM9G8483Y64FmRHnw7TJWVTrg0nJyKWjx0R7\nZx8JaflDEmaUlpVwtKIDTcxFhEanoPDxG6wFKeRejtZClxNY2eazPZWU17ah9lHys2W5+PqMLugo\nItiPLfurMJkgVKNmYkq4yJIOzx+e/QOGiGmExaSh1oRTfXK719XpdkWtYMs2b7zmaq6YN2NI+2Y/\niYidQGBIJJfn+vCz224RdVLf/91+qnsTCQyJIjg8jrTIPibm5IrWvowwrGti37RkCju+2UG1IZGQ\niAQ0oTHEBbbbtY2tvipm/5Xy2O2MbI5eOxrbiM27//cOrf65hMWk4hcUAW1n3F5HXaqIaZ9t27dy\nrjeR8NhU/IMiiPRtstmWFGrKD4eU/dadWK6Hb/vRcny6q2n3SycyNsXhhJ2Wtg4LC2PO9EswtpfT\n7pcOJhPGgDii45Ix4I9CX0lFRwThMcnU1tahCk4kOsHxhNuuZkwlk1u6dCnPPvvsBX/LzMzk3Xff\nZdOmTbz22msEBQW5XS5zEoTWxmoCDdXk5ebZvcYyxGNordJ8weHXer0enU5HR/UhOtsa8NWXk56W\n4VCyE0eSntmq2a7X69m3fy86XQtGXdHg74iLjbfZrreEnwwnp1D5zTaeWjCVQEM1rY3VqLuqCPPt\nQHuuhNaK3cTFxg+22dXVTYiileaqw7TWnkJ7+mtCgkMHP9+3fx/79u8d1GdlZSX/fOctdnzzNWC/\n7uRYqSfpSvr6jewrGjhOc2lWtOBM77YI8PMhZ8JAVuAjJY2iyCeUO26/g8ojmzjz3YdUHtkkiTrd\nQvzG1nfErh5qHV5n3b5lYk5ffTlzZs+jtKyEyspK0RJIzZs7n7pT2zhXtIu6U9uYM3ue023KOM51\nK66n8tAnHNv2FyoPfQIM2EZ7+mvOFe1Ee/prwbaxFbZp/bfRzn3uGrst1w1C1gUD81YXppZiwbJZ\n6sDe77LW17y582kq3UVtyT6aSnd5xG+uW3E9FYc+5vjWN6g49LHH6qhLEaH2EeIHA23tprr4W5pK\nd49oa1u+Z+seQtfFQr9n73dkpGdiaimm7uxpTC3FI/qGt6yLR4vZRtHR0SxZvBRfffmQdbAlI40/\nnZ2dHDj4Hfv27wNgyeKlKFrP0NPTha58D51tDeffuM9D1VGK9lwJpvYyVB1lDiers/d3RzHvl/bt\n3+dQW14T+i5VnE1CNtrr9Xo9q556gfreCBob2onv2cmfnlxNZ2en4GQnlmGepw++SubF8/HrHT4s\nRKPR8NB//2SwZvvv//Q6/X19lNS0Eh6fTZTKxI8XJpKWOpenX1w/JHmEtyR/GC5kaTShTNb27ezs\nZNXaFwhOmcXTL66/QCe+an9+dfMU/vzXD4m9aD533f//+N8/PMyf/vef1PdGoKs5hbGnnbT8yyj8\nbjuxmbPQVe8lL30Hz6z57YiyiJksb6xSWNZMR5cBgFl5cU63NzkzihMVOs42dNDY2kVUaIDTbQpF\n5eNHdPLFnGt370MCWwjxG3cnihkuAdjTL64nOGUWXXVHuf/en/H0i+vRK6I5/t02kvMvFyWBVGHh\nMbp6+knKyOBcUxWFhcdYuPAKsX6ajECam5tQ+gYMhjEDNDU1ou/qJSF1AjUNZTQ1NYqSLMyZMFh3\njN2WSdJef+cRMlLiUYblDJv8yfL3mExGVi5MIi93ZNls6WC43zWcfyqVKjRh8bS1V4uuAyHs3bsb\npW8AyfmLOFv4JXv37h7XtdStsWcfoX4QGBhIdmYqXepEAiIZPPIqBFv3ELouFposUOjvMJmM6Fsb\n8fUdPjnyeAuRN+8jLNfBtsYWW/uH3//pdU6W19FnMBGXlk+sejur7/sZJpORns52MlLi+fHlE8jL\nveqC+4RnzIOWYv5jhHFKzHW/LfR6PQ8/+RzFVU2Ex2cTq97O2kfuGZt11MVErDrqarWaIE0QpWUl\nBAUF/3/2zjw8qvJ6/J/JMlkmCdkmO2QFQkCUXWW3KFRlF60rWPWr1tatX3FBqlURhS/W2lqX9le0\nirVqEZcKKoJsVXYIIQtkD1knezIJWWbm90eYOBlmMncmd2buJPfzPHkemLnzbuec933vfc89xyU5\nqo+fOM4PZ9rxCx2BX0AYXj7+XDoykmPHj1HYqmZYVDJ4B6LsKOOScZdYLMPomhMQEsl5VAQG+KLw\nV/frFmKas72ysorWTi+C1KNQhSeg8PHjykviaWlt4Vgp6PU6q64oUnI/0Wq15Obl9MouNy+HQ/kd\n6PU6dN4hpMb4EB0VLUqO3YLCfE5X+REePYK2Lu8+Y3Je54uhpZhGZTohUUkolEFoK49TrYvDJzge\nH/8QdHoF3R0tqNTphEQl46cKo6Ozg3EpEYLc5KWcT9LdbN1bQEVdGyEqJbddMwqvAeY/DwlU8u2R\ncwBEhwe67D31jZs20h0xldDoVJSqcLe7vtuyG2Pwtvz6nnnF3C6cMVdYalN9Q32v27vOKxBlZwXF\nreE01JbhH5VBWFQS+Kj6nVOFcP+v7ycyYxGh0an4BUWw78u/cestt4nWNxlhrH3maXwTZl94RSSc\nm+ZP7HltJGIqYdGpKIMiRLMde9cO8zXJ2XP3jq+3U9iqJjQqGXxUNDVoCAmP7rN+m7bZtD8deiVT\nM6JISBjebx2WxiAhYbjFflm69tjxYxRpowmPTUOhDCaEKpe7vt+28jaSpt7S4/quiuA///wD9/7P\nfS5tg1TZ8fV2i/Ix1eWCwnxBdpCbl8Pxc16ERibQ7RVIitprQK9UGPfFoVHJ4Kuyqjt97KCf64TY\nc25eDifOeROXPI4OvbLfvh4p0RMQEkmHQWlXX6WO+TxmxLgP9lcFczY3m6SYQBITk4CfxtbS/cOJ\nonZ0ikCGxaUTFJYA3kp8zpdT2qYmLnkcXQT0mYtM99u25ilrMhXrFYbcvBx2HS0nIDwVVXgCeClJ\ni/ElOXmEzd96jOu7lDE+cfn79gJ+9/JfnO6+otVq2fLpTsryT1JXnkdtyVFCfVtJSU5l1szZNBT9\nQG1FPudy97LvSG6/rjnerQW0NWtoLD4IeoNN9zVTd7VQpZYIv3ZqS4/RWluEsr2ElOTU3mswQGPx\nwYtcUaTkfm1JdrExceRn7qG26Tz5mXt6XXPEcEE0L8N8TBbMX0BZ1i7qqoooy9rF/GsWoGwvpbW2\niPqSY3Q0FBOmjqPq7H6aawqpKThEuLJdEmPpybSd7+JEfh0A08ZE4+018KkxMjSA2Iiek4DTRfUD\nLk8ov7jxF5zL2kljTRHnsnay4oYbXVa3JfqzG6P97TkL+Zl70JzLd8lcYalN1mwzeFgUVTm7qasq\ntDmnCuHOO1ZSlrWTJk0xZVk7ueP220XsmYxQHrj/gT52Aj2B/sqydtJ4QTYLr18oSl32rB2u3k9A\nj6txY/FBGmuKaCz5kdgw5UXrt2mbHVkL7fmNpWv7tLH4oFtc3+/55V09+lHTox933flLl7dBqliS\nj7kux8bECdKB2Jg4zhzdSXFRIWeO7rToHm2NgeiO0OuE6LJQfR9IX6VMf/NYakoanTUn2b/jA7zD\n0lj32ge9rxr0d/8QqtTS1lxOTcEhtPU99xz97RUGOufYW0Z/pKakEarUXnS/JASFQeyXAD0IjaZF\nlHIyT53k79sLCIsaTkNNGXddm8Yl48aLUnZ/9QWFRlKUfZCFV8Sz8PrFve4Ye/bu5tV3v2HUhLl0\ntLX22x6tVkthUc875VXVlaQkpwrKG9vjrtajZD2pxBSMzRjbx33FUrmmv5WCe48l2RkMBv721VkC\nQ6Joa67hnutG9Y6fGO03L8P0/wWF+fzlk+O0NNcSHBLJAysmkpKcyuns04CB5KQUqqorCQkexn9/\nOEB8fDyTJk6WxFh6MntPVvDO9lwAnlk1hcQY2+5IQvjg2zPsPHqOAD9vXntopigPAGyReeokr/xj\nL2UFJxieehm/XTnbqfOREKzZjan91VWXMHe0gmuuXuCSucJS+dZss6KinDf/tVfQnGqLP/zxFb44\nqKG68BDRKVNZfEU0D/3mYTG7JiOQ48eP8eZbb3DfvfczYcJE/r31E/7xTRGNmmJC1UmsWpDC0iXL\nRalLqD67ej9hRKPRsP/AXmZMn0VgYKDNfYEj9mnPbyxda9pGd+Qv/8MfX+Hj73Ipz91HfPpMbro6\nQ7ZdE8zlY0mXU5JTbepA5qmTvP1ZNngpQG/g3iVj7bKBgeiO0OuE6LKQawbaV6liax774J9b+Oxo\nB6ExKTTVFHHTlSG9c21/9w+ns7M4f/48/v4Bvfcc/Y3zQOcce8uwVb75/ZIQ13ePOVHftWsXy5cv\n57rrruPFF18EYNOmTVx11VUsXbqUpUuX8sEHH7ilba4O1GWsr7WxlpgQWHj9YoDeYAeTJ00lNkxJ\nzqGvqc79tt8ndCqVipTkVCqrKvoYQ3+BE0yDd6hUKqZOmcbUKVMtBtJRq9V9An2IlatcLMxlFxI8\njKysU+hqT3O+pbY3QJ8Ra+0XGmxCq9VSUJjfx+DNgwuqDBrUsSkoO8tpa2sHYOqUqUydMq13PBMT\nE7n5F7cwa+Zsq+/bDObgJGJz7EzP09yY8EBGRIsXlDIjORyA9g4dRRXiPBi0RWpKGoGGWoKHqQk0\n1ErC28Ka3Zjan6+2qPcm3fw3ztBnIQHAjPNjaGg4w6OC6Ghr7TPHO5KnddmS5TRX5RAYEk1zVY4c\nkMqNjBo1mgce+DWjRo0Gek7UtDU5BIao0dbkiH5qK+RcxNJ+whE9sxe1Ws3SJctRq9VW129THFkL\n7Vn/rV3rzqwwy5Ysp6O5itCYNDqaq2TbtYCpfCzpspDgb6kpaXhpC2muq8JLW2j3GmapjsDAQFJT\n02y+725qB7awZc9C9D01JQ2/znP4+CgvpAJ1/3otBqay76w5yalTp/oE6Lt63jU0lR6iyYL3gqX5\nx7h3HpsxjkkTJ+Pv3xMt3dKe2hR79hHW5CXWfYu1+yVbeMSJellZGbfeeiuffPIJERERrFy5knvu\nuYfNmzfzxBNPkJ6e7lC5Yp2og3hPXBypDzAJdlDAg3fdyD3/+wLBw6dRdWY/l6YnsvH3qwUEUCgw\nC+JUMOgDW8BPYxkSPIx7H1tPaNI0Gop+YM2Dtwo6rTYfQ2tjZs91p7Oz2PLprgt5H+2Tg9B6ZHo4\n39nNg3/cT7dOz88vH8GKOWmild3e0c2Df9yHTm9g8YxkFs9IFq1sa2g0Gm771RpCEy+nseRH3v/L\nOrecPgnF1tzpTn3uEzSrMY9bl17F2IxxFwWZMTTmYTDo8QobY7ONx48f497HN5Iw7mecy/qOt15+\njAkTJrqkPzI/Ya5Xm557DI1Gw633P0XI8Mk0lx1hyxsvOiGYnG0dtra+26Nn7sCZtmoa6Kux+OCA\ngzo6Qm5uDisfeo74sfMoP72Td//4O9LTx7i0DVLFmnwcmd8Bnlr3Gp0BiSjbS3hxzYMDPskUUy+d\nUZ6UPE3FQqvVcvTYYda99gFhyVdcZLf2eC8Yx1vfkNObE93037bkINV98aAJJrd161bi4+OZP38+\nXl5ezJw5k7i4OP7whz9QUVHBm2++SWFhIZdffjne3t6CyxUrmBy4PlCXaX3mwQ6qCn6kVpFGsDoJ\nZUAozY0aLkuPtxrIwvS3Ug345kyMY/ndrp29gUQUyiBSInWMH3+pzd8LDTYh9DqlUkldfR0nznm5\nJD/tUOfE2dretGw3zk0jPMRftLJ9fbzILm6grvk8Or2BmePjRCvbGju+3k6hNoqw6BQUyiC3BF2y\nB1tzpzv12bTu8zpfpmZE9wajMf2uqa2blrZu4pLH2WzjT0HMUlCqwsn5cRsLr1/kkv7I/IS5Xi2Y\nPsZqQCyx67Klw9bWd3v0zB0401aFBvpyJhs3baQrfGpvAEJ3B+qUEtbk48j8Xt9Qz4lzXqjjkjmv\n8x2wHomtl2KXN1gD/SqVSo4cPUKhNsqi3apUKsakZ9i8YTYdb9Oc6PbkR5fqvnjQ5FEvKSlBp9Nx\n9913s3jxYj744AP0ej0TJkzgqaeeYtu2bTQ0NPDWW2+5u6mCMLpfWMrN64hbm7l70dLFy2gs+ZGm\nmiIq8/YSG6a06k5jK7iZMR+6aXv6y3HoyTgarCY2Jg5txXHqqkusvvqg1V6cc9Z0bM3zK9qbY9YU\nsV7FGCru88fP9thfiEpJSpz4kdnHJoUBUFjeTHtHt+jlmzNr5myqsr/l5M6/UZX9rcfn6R6oPg9E\nj/uzbdPvlO2lhPq2CmrjA/c/QMnJ7ZzL20fJye3cd+/9drdLZuCkpqShb8ih4NQB9A05QI/t1Bf+\nF015HvWF/xVsO7ZyLw9Eh01/a4+eiYlQ13sh/XTUHqUwr9258k7KMndwLm8/ZZk7uOP2lS5vg1Qw\nl6Oj8hES2HOgeu6M8kznDmvlCc3JPhgx6sfkSVMs7qvN74NKSkoEzSuhSi3K9pKL/i0kWFx/MpPy\nftcj8qjrdDr279/Pli1bUKlU3HfffSQmJvLmm2/2XnPXXXexZs0afvOb3wgu18tLgZfXwFIw2YtW\nq+WZDW/Q6T+Co/u/IG7UdP72r7V88OYLBAaqeGbDG+iCUvBu/ZZ1Tz0gyDVj2LBgXlzzawoKC0hN\n6ckf+OHbL/Ltzp3E3/BLJk+aYrUcS781/j82ZhbrXn2nT3sAntnwBh3K+J4chxPn4dsmvK1C6e62\nnnfSWajVat57/fkeV5zHhLnVabVaXvrTO/hFZtBS+iMbnn283xzRxpyzxlzzPa48X/bJR2/Mr2hP\njlnz92wHmnfXVh2DhW6dnsyCnmjvl6VFDjglmyUyksP5dF8ReoOB3NIGJox0rrtmXV0t7V0G4sfO\npfz0TtFyQbuLgejzQPS4P9u29J0xAJetNp4/345CocA/MAyFQsH58+2C+yMjLgqFF6rQKBTtJb2f\n6fU62hor0et1gsoQknt5IDps/lvAqTnVzenrdvqliaup/WvPQOxRCvNaREQkIcFBBASGoAsOIiIi\n0qX1SwVzOW567jGH5WNNZwa6hxFSx0CwNHeYIjQn+2DE3M38rY1Pcuz4kd59tfF7rULNqcPfETd6\nOq/87WkmzlyIst32vAI4NB9ak5nU97se4fp+6tQpoqKimD9/Pt7e3mi1Wr755hsARo/uCQJTU1PD\nvn37WLFiheByAwJ8CQhQuvQvP/8MBwu68PIPpds3DF8fX/zCEogNbAKDjq/+m4+vry8Gv3AuSwsh\nKiqC/PwzREdHEBKislpuSIgKdWQ4paXFREdHEBsbxdQpk0hPH0VIiAq9vstqOd7e0NLSREJCLCEh\nKkJCVCQlDqekpJiDBV1ExiTSrvNmfHIgWm0zBwu6AD3dftHExiXS7eXH+ORAkpNHWGxbf3Vb+zO+\nlqDVWs7D6CyEuuIYMbrTRMQmY/Adxqg4JUGqII6fOEZ5eTlhoWG9uUP9AoMoPJvHlEsS6e7u7uPK\nY5qP3phf0VaO2aDQSCora0iO9iM+PgH4abzCw8JJSBju8JhJ1U1IbPLKGvn+RAUAS2YmExPef6AZ\nRwhV+bHzyDm6dHqCA5SMT40QvQ5TNm7aSFfoRPyDwgkMiaI853uPd89UKnvsqqAw3665wB49Np9r\nLNm2eR5p43fDw3S0tDSTmpLW+721dj7yv48SlDwP/+BwVKFxHNn9IStuEL5uyYhDbl4Ox8ogOCyG\nLoU/P5+RwY6vt5NVbqC+PJeQmHQi/bU23auFumTb495qroumv3W1m6w1t1Nr9mSpfcb+VFRUkFnh\n49C6snHTRrSBY+hoqSU4KpWqMwdcPq/t+Ho7Ba1qAoKjUAarGaaokfRrRc7C0msj1uQjZA/X1dVF\nfUM94WHhvdeIredilmc+d1jKfb7j6+0UtkQSFB6Pl18IIVQPGl2xJVNz/RibqGL2rLm9+2rj9w21\nZfhHZeDl5Y0qMong4GHUNzQTO0xPU3NTn/JN5dfU1MSx48eIi4vH19f3It2xRE9eey9CI2Oorq7t\ns292535XiOu7R5yoz507l9WrV9PS0kJgYCD79+/nsssu4+WXX2batGlERUXx/vvvM2+efZN2fb3W\n5SfqUVHx0LSNLv8RVOV+T9yo6bRWnGBM+lOsf+0dykpqaO0OpK3yAIrbr+RXj224cKK9rd9Ta61W\ny5oXX7d4raPfGduq0Rnwbi1ErV7QU1nTNnTKeJqKD9ISHoxvWzFq9QIaGi52GemvfFtI/SkXGF1y\nvqEBLrizz+TJF14lr7Su93T86UfuprNmK4dzS4gZNYN1r33A2/+3pseVBwhVatF5dZNfeuzCb+pJ\nSV7cb536hi85fLKnji2f7mJsxjgA0cbLvF/GJ5eDDaPbu5+vNxkXXNTFxstLwZjEMI6e0ZBd4vx8\n6guumc+u9X9j+Lh5lGV/z2+evNvpdTobR+cCoXpsqfz+fmv6nb4hhy2f5qEIHY2h8SuTYF+W2zl/\n3jze/ngPw8fNozx3D/+z4qoBjIyMo/TkL36jN/gV3EB4WBjVJad6bCdrJ6HDptksZ9bM2fz1w7VA\nT97fGY89P6B2SW3dM9X1UKUWRXsJDTX+gtcFS4GgHFlX+sxrWTu52g3zWlxsLMWn/n2hDbuIueHX\nLm+DFDCfG8GyfITostT0XQjmc0fML2dfdM3kSVN45W9PEzNmDlU53zPx1y+4oaXiI0RettZd4/fB\nw6IovnCiXpG9h5aKGIZFpbDutQ8YPfkafLUXl2/qqfDmlicZnZaET0SGTd2xtm82ZluS8n7XI07U\no6OjCQwMZO3atbz//vtkZGTw29/+lujoaH73u9/x3nvvkZCQwCOPPIKXHXmKtdoO9HqDS/98fHyZ\nPvVSUqK8uWXZtUT6NfHQfXdSo9Gw+1glqqhRhEQMJyJSjX93DUUtPwV2S4wAdWSUxXKzc7I5WoLF\nax39ztjWpEgFy66/hoCAwJ/aH+3D7TcuYlScX+939rarvz/wjFNdpVLJjKmXkaxWsOz6+ZSWlbDr\naDkB4am9p+Njhgfi762jsiuB8NhUFMogInzruPuOm0lWK1ix+FqunnMl41KjuGJcLDcvX9jvQqVU\nKgkP8aOkKYDE1Aw69MreACxijZd5v6S+cDqCwWDgva/P0N7RzWUjI7l8bIzT6tK2d5FZUEdrexez\nLo0jwM95z0i3fb6Neu9UvL19CAqPJ1BXyeXTLndafa7A0blAqB5bKj8hYbjV35qWOyZtBFlVSsHB\nvtZveAlV0hy8vXxQhcdTenq3fKLuBgoK8ylqVBEY4Et4VCLXzrqEdevXoUyYzTB1En5B4RSd2GEz\n0J9KpWL+nGmEUMXD9905YPdWqa17prq+YvG1/GzWNLvWBdP+dOiV3PrzS5maEW33urLt8200+Y0h\nJGIEAcER+Hedc/m89ue//JmOYZfi4+2LKjyehpLDHu+t5Ajm86pSqbQon2HDhtnUZanpuxDM5470\n4QEXtbm0rIRzbSH4eRuISxrN+JRhku+XEITIy9a6a/x+ZJx/733Q1bOmUtMZhkoVAIFxqGOG04X/\nReWbejBptc34h8YTM3ykTd2xtm82ntK7a7/r9mByubm5PPnkk/ziF7+gurqaLVu2cPDgQYfKWrZs\nGV988QXbt29n7dq1KBQKrr/+er788kt27NjBCy+8gI+P/ZtfVwUQMK3HmJu3qbmRa65egFqtJjUl\njVCllrrSY2jri/HrKLsosJutQAnWrjUNemRozKOtra23v7YCofWXazgwMNBmHkmxgug4O3COLT3o\nCfZ2kIOHfrzoGtMxio2Jw9BSiKboCK21RSjbS0hJTmX6lTOoKzxwUc5I4/ipVCrGZozrzQ1pi3Fj\nxxHYVU5TbbnTArCIlTtSqpTVtFLXfB6ACSOd+67hmKTw3n9nFzv3VH3ZkuVUnz2ArruL6rMHPDbX\nr6lNDkS3zfXYkq2bl28M9AjYzCM9buw4u4J9/fbhRzh3ejctDeWcO72bhx98yN6hkRGB1JQ0vNuK\n0el0eLcVAz2B/s5l7aRJU8y5rJ2CA/1ZytHs6N5iIIFE7UVoWaY2JMSe+uvP2IxxDq0ry5YspzJn\nN821JVTm7HbLvHbnyjupyNlDV2cbFTl7hnQwOXM9sCQfIfO2q4KFinmd+dxhrV8BnRWogkII6KwY\nlPnRTeVlPm5tbW2cOXOGtra2i8owzX2emJjI0iXLmThxIt11PUE9G4sP0tZcY1EfTIM+dzYUo2wv\nparsDIbGvH7HuKddBpTtJX32zUakvN912rFOVlYWt9xyC5deeilZWVl0dnaSk5PD+vXref3115k9\n+2JXEVfjKpcb83r65ir/qd71Tz/M6ewsQMHYjLF2BcCwdq1p0KOGwn2EhITzz+8r8P5yX287+guE\nJrRP1sZOzCA6zjIgW33RarU8te41qjvDaajMY/SI71j/9MMWXbhe+tM7hKXOwufcEe5cNIZJkyYB\n8Nr/+4i0S2aiyd/LWxufITAwUJBO2Ds2rhivwcKJs7UAeFT10+8AACAASURBVCkUjE917o16dFgA\n4SF+1Dd3kF3cwPRLYp1WV3t7G10d52mpL6Or4zzt7RcvlFLHkk2KodvWbN3UnmKiZw7IFsF2cBsD\nepR+Kgy4PmimzE8YDHq0TbX4+vbIISFhOP7eOoqPfk5QoF9vKr7+sKRT4PhrSP2te2LuWcQoS0gZ\nYq7juq4Oaksz0XV1OFzGQDHo9ZxvqcOgl23XHHP5CJG9K4KFin0dXDx3iNkvKWOpX+bj9uBdN3Lv\nY+stBtKzNl8a70W0lUd5a+OTNLc0kZL884vGzTTo88QH1rLpzfdp7EcO5nUaAzqPzfAcmTjN9X31\n6tUsWLCADRs28Ne//pWbb76ZpUuX0tTUxLZt27jxxhudUa1dHD12wiUuN0JzlSuVSuLjEwgNDe0N\nmgQICpQAloNlmAY90mjqaNP5EjNiFB16/952WAqWZG+fbLmcOBrEwxWBc2z1JTcvh4MFHfgEx6P0\nD6GzS0dGUo8bk2lQjazTWRwu6iIyJhl8Q7hyfBwJCcN7y1cnpKEMjmFsouoiN3VTnWjtVKBrLGDE\niMR++21pbAZrPk5n8OF3+TRpOxk9IpS5ExOcWpdCoeBcjZbSmlZa2juZP2U4CidEmIeeoEudYRNR\nhahRRY6gMnevx7lnWnNFH6hu92frRtsxBn901BZt2eAj//sow9IWEBqdSmBIFIe/+0B2fXcDuXk5\nHCnsxi9AhcE3jGtnXcKOr7dT1jWC5AnzUQapBeXqtpYH2vyzIFWQ4MCo1nTo+IljfH+8EnVCKh36\ni91C7e3/QPc/QssQY13a/O7fqfMZSXBEAqqIEXTUnna56/vGTRvpDJ1AQFA4qojhHjm3Ogtr8hEi\ne0f1Izcvh0P5Hej1OnTeIaTG+FjUP6F6as91J855E5c8ro8LtVj9kgrWgsaZ98t83KoKfqTWK81i\ngM3+5kvjvcjYxJ7T7a6uLov1G4M+l5aVCJKD+es3UzOiCAsLd2mgamu41fU9KyuLJUuWXPT5rbfe\nSkFBgbOqtQtXuVbbylVuWq/xyc/ftxfw1LrXePKFV/n79oKeVAYOuLoZ69acy6euMh+UIRzesw19\nQ45drvW2+uTJbj22+pKakoayvZTW2iJqS48R6ttKSnLqRbJ696OvKMw9Sl72iT5uOELyhBplUVdd\nwpmjO9l1utNhmcvYpq7pPCXVLQBOT5dmZMyFYHVNrZ1U1jnvlHvJosVU5O5Db4CK3H0svH6h0+py\nFs6aX+xxxXSWLd616k7KTu+ipaGCstO7WHXH0HWfdSexMXHkZ+6htuk8+Zl7gJ4AUGVZu6irKqIs\naxcTJ0y2WY6Q+T0mOrZ3rXBUl7RaLR9s202nIqB3DR+IXYhhY67cB8yZNafPvDZrhuvzqP/ixl9Q\neaENlbn7WHGD+w+cpII75GNuwzHRlj3VhOqp2Nd5Mqb7W1tzlvl4LF28zGLudEvXWnttU0j9jspL\njPnYlTjtRH3z5s3Mnz+f6Oho3nrrLW6++WaGDRtGbm4u3333HXfddZczqrWLri6DSwIImAcqCA0N\ntVqv6ZMfIYGJhNatbymi1S+VhKTRKP0CWLlwCqNGjnK4/4Mp2JiQwBezLp9IWrQ3V10+lpuXL0Kl\nUl0kK22HgYxJc2mtO8fdN8wkOSnZavnWdELXWECT13DUCWkeE1jFE/nhdBWnCnvyp98xfzSB/r5O\nrzMk0JevD5UBEBMeSErcMKfUc+jwIc51xOKvGkZweCzJETqPSwvjrPlFSLnGa5xli5mnMiluDaOr\nvZWwmGTGjgjwOPkMBgoK8ynRhqKOGU5IRDQ/n9FzQlPaFID+fD3DU8ZxaVq4TZkLmd9Ly0pEOb0+\ncc6L+MRRvWu4cY1xBDFszJX7gP/+cIDyzjgCgiIIDo9h+LDzLrcbTW0N5efDCQgMJj4xlWljY+T1\n+QLukI+5DY+O87N6si1ET8W+zpOx12vWdDzUarXVAJtC5kvz/bWjQeusXSfGfCwWbj1RnzdvHq++\n+irNzc29nxUUFLBu3TrmzJljd3m7du1i+fLlXHfddaxbtw6AQ4cOsWTJEhYsWMDvf/979A68M+Sq\nAALm9Vir1/TJT3+BiYQEPzMNXjdzxizaK09SX11Cd11O7wIvtP+W6pNy8AV7sdUXlUrF1ClTmTpl\nWu81pidvHZrTBFFPa2Mt6sDO3nRplso3jiVcHKgqIiKSptIfqCw6TVPxAatPiGUGhjEtW4I6iMjQ\nAJfUOSzIj3h1j6yzixucVs+smbNpLj1Mp7aB5tLDfZ5mexL2Bq2yh7a2No4cPczBQwctlqdSqZh/\nzQL8Os+Jfmoya+Zs6vIPUJG7j7r8Ax4rH08nNSUNGvOoyD8GjXm9n+kbz1BTmoe+8YxgmfcXdNWY\n/kffkEPBqQMOn4Qb15um2nICu8oZmzG23+uF2IsYa7ir9gE989oRutobaS494ha7SU1Jo7Mmk4r8\no3TWZA7Kk1RHsSYfIXqo0Wj499ZP0Gg0vZ8JDermqy3ifEstvtoim/KwFfwYhOvzYNr/WsJerwHz\n8VCr1SxdstxiFgxb86Vp/Zpz+b17YXOd0Gq1ZJ0+RVtbu83+mM/HrgrYKQYKgxDNdYDW1lbuvvtu\nMjMz0ev1BAcH09raSnp6Ops3byY0NFRwWWVlZdx666188sknREREsHLlSu68807WrVvHO++8w4gR\nI3jiiSeYNGkSK1YIf9dPo2lxpGtOR6vVXgjU0KM8xn+bblh/CsZQYDH4men3xkBl7co4sv77BRlT\nFqAyaAQHj7FV31BGo9Gw+tmXUcVOwrutmFuXXtWbm9ES1sbSNGBdfXku3e31pE++hoDOCnm8Rabt\nfBcPvbYfnd7AoulJLJmZ4rK6/7nzLN8eKSPAz5vXHpqJtx3pJIWi1WpZ/ez/Ud8ZQLiynQ3P/q/H\n649Yc5BWq+XJF14lu6iK7i4DMcnjiFY28OKaB60GFzKffwdKbm4OKx96jvix8yg/vZN3//g70tPH\niFK2jHCMc25nQCLK9hL++OKTlJSUcMv9a4hJn0tV7m4+eGMdiYmJotdlTd+ElCNEHwfrmq3RaNh/\nYC8zps8acBo8Rzh+/Bj/s/plEjLmci57N29veJwJEya6vB1SxVw+QvTQNC92Y/FB3nv9ebNgu/3r\nrxCbGKz24Gycsf7Zg0aj4akXXyMg5lJozEOh8EIROrr3vub5V94mr7QnL3q0st6uedVa31ytK2p1\nsM1rnOb6rlQqueGGG5g4cSKjRo1i4sSJrFy5kscee4yAAPtOsLZu3Up8fDzz58/Hy8uLmTNn0t7e\nTl5eHqtWrQIgNDSU999/n6VLhafsaGvrtKsdrsJWYCIhwc8sBSpThcagU0YQFBSAwl8t2N3DE/Nc\nuoqCwnxyNEFExCZzXufL1IzofiMFWxtL04B1PgEhGPAmLDzSLjnJCONonoYjeT1P7n/xs5GEBglL\niScGOr2Bg9nVdOsMjE+JIDzEX/Q6cvNyyKzwZXjapXRayEPqiYg1B+Xm5bDraDk6RSDD4tIJCksA\nbyVpMb4uCwa0cdNGusKnEhqVjFIVTnn2LjkglRswupKr43rm7gXTx7D53b9Tr0wnNCoZn8BQ2qtP\nihKwzLwuR/VXqD4O1jXbGETKXTdZa595GuXwOYTFpOEXFEHOj9tYeP0it7RFipjLR4gemubFNgYe\nQ4GowYoHqz04G3cHwysozOd0lR/h0SOorKzCOzgedVxy733NiaJ2AsJTUYUngJf1ddwS1vrmal1x\nex51gCuuuIK77rqLe+65h9mzZ+PlwAlSSUkJOp2Ou+++m8WLF7NlyxZqamqIjv5p8KKioqiurhaz\n6W6lP9cLIcHPjN/rG3KIiIhE35BDW7OGxuKDnG9touzEF4QED7NZl5D6BiuW3Gxs5V+2lFPSUj7o\nuuoStBXHe13bTQPW1Zcco6OhGPSGITXeruL4hbRs4SF+jIgOcmndo4eH4nUh2ruz8qmnpqTRpTlF\nzrFddGlOeaz+iJVH3ZTUlDRClVramsupKTiEtr4IZXtJb9508znQGS5wd668k7LMHZzL209Z5o4h\nnYvZnaSmpNFdl01pfhbdddlATy7oqpzdNNYUUSVirm5Xr6FCXe3N16mDhw5y8NCPknH5lBoP3P8A\nZZlfU1eeTVnm19x37/3ubpLbsOSubo4QvTfNi20MPJaakoahMU9wfmxBec9Ftj8x1waxc8FLGXv6\nEBsTh7biOHXVJYQqtSjbS/oEYA5VaqktPUZrbRFezWepr6+3+jqb0PqleL/jtDzq6enpVtMP+fr6\nEhMTw+LFi/nVr35lM02RTqdj//79bNmyBZVKxX333Ye/v3+f3xkMBry9ve1qo5eXAi8v56RIGgha\nrZZnNryBLigF79ZvWffUA32eIA8bFsyLa35NQWEBqSkX5xk0fp91Oov3tp5h28E6vLy9uf3qRIYt\nf5j7Ht9IZOos7lu9nr+98hR/ePsjq3UJqc8ZdHe7N0epea5Ha3nObeWU1Dd8aeKu0/O7J36zqtdd\n/qU/vdNb1otrHuR09mngMpKTUqiqriQleZHsoiUiXd363iByE9LUTkuRZo0APx9S4kPIP9dEdnED\nC6c7HgzKGm1tbeQXlxMyfDL5xUdoa2vzOB1yVh51lUrF+qcf5nR2FufPn8ffP4DkpGSLti1mzmpT\nAgIC8fb2xs8/GG9vbwICAgdcpoz9tLW1kZdfjF8YPQ9GgcjISMaOHEFx2UHGjhxBZGSkKHW5I6ey\nQuGFKjQKRXuJxe/75BZu/Irurk7qDDE0VOYxesR3rH/6YY+bN5xNeHgE3l4KzrfU4u2lIDw8wt1N\ncgum7up//XAtOz560+J1QvTeNC/2jMee73WZt5WnHITnPRfb/sRcG5yR412q2NMHrVbbm1u9pfRH\nNjz7OIGBgX1kaLqW/+vzKl586/MLbvC7LLrBC6nfHXO1LZzm+h4SEsKhQ4e47bbbuPvuu7n22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oT5w4kbfffpv29nYyMjLYtWsXer2eo0eP2j1ItbW1TJ8+nQ0bNvDRRx9x+PBh/v3vfxMXF8fD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794aR/NbS4Abr4sl+suzj7jcXh9Pj7aW8v6T8rweHsuS+ZPNXHninx0GrmnIIQQ4txiMkWP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\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wWE00OXwpq6gkNHE8wZFJqNSB/PyasTz99NJ2xycrfa3Hjo9w351338WIGfe6jsP/m3kx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\n9WrCw8NZsGABW7d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JOiKZuMH6fvPu2unZPPHEMkZddU+nf47u2sQjjyyRx5ACl3jkkV93\n883+L//er2/WrV9LtSYLXZyewDAdjeeOMHXK1G7XyBW/SsxNgfxEhGmYOTaJzOQoWlvbuVDX1Pm7\ncXO7BampjQt1zVRcaOB0VT1F5XXknzZxvLiaw6fOsz+vir25lezNPce+3HMczK/ieHE1xeV1XKhr\n7pTVUSQumZ/fOJIrx6cQ6cI2dzGvKZeeOVxZtI/zAUMveYbsq40173veQ6MHJXCmpJDwpMuITsiA\nIC2GY1tpirwcXbye8xXFhEQlE6yNQRMWRXtbG+GxacQmj6LBdI5BaeM4V7SflFFXo4tPR6ONoezE\ndpKTk23qbO1XunCWAG08IdqYjjVYdDKqwGCGJgb1OT/19/zp6XnOnjfqyvlYYxfq6+vZunUrY8eO\nJTo6mu+++46ioiKee+45nnrqKdrb20lKSqKsrIy77rqL66+/noULFxIbG+tQP3FxyVBbhLHCQGBj\nKRFqCWOFgUi1REjLWS4aSzAaviVCLTFxwuTOa6kt4vofXU9rTSkXz5/mXFEODRdKCWwsJS5uMDU1\nUrc/kyZOobY0h5pzxZgM+6DVhFRTztnjW0EFlXlfkTgki8r8HVw0GqjM30FUTAImwz7MLRLnig7Q\nUlPKhPGTu8mNj08mUi1RfeYodVWFXDAcIjq4gQi1xMWaSmpLczC3tdscT1zcYOLjkwlsLO11nJFq\nicDG0s4x2xpbX3/i45O72cyR9nKQmTEUdX0RNVVnUNcXkaHP7PNaTeNp6s+XUH3mKM01pTTUVaGu\nL2LmjFmEtpYh1ZRxNncbbW1NlOfvxGJuQJ8ch8mwj1pjKWV5O7CYm6C1jtqKXNqaJcrydtJYW0lt\n+QkunDmOqaKAquID0FqHtq2ioz/DIZpriqGtmYa6MurOHOzs25bOs2bOxlSag6mqBFNpDjOmz+p3\nvLbOOWIfe2xrr7zerrMeb2syUZm3A3Nbc7fxOSKrJ4sXLaYsdxumqhIq8r+mubrkEvv1tO3FssPU\nlucSFBrJmeNbuXj+DJUndyLVnMVUVUJZ7jaC1eZucqztJVMFZbnboN3MxTMHaa09jamqhLozB4nR\nNMrmB1v89I7bOXN8K6aqEs4c38qdt9/uUHu59ZGjT7l0svrH3NZCZd4OwsJCMZXm0FBXhabxNEkx\nwTTUlWEsOYBUU0ZZ7jbaWpswGfZ1i5Ou+ug0EppGg115BzBsWGY3/wwbluHUWATyM2nSxG6+mTRp\nQr9tbpm3gMq8HZiMJVTm7WDeTfMvuUau+FVibgrcg0qlYkzGIO6/ZQyvPzyLlYsn8bPrs5k/U8+V\n45IZNyyW4ak6UuLCGRQZTGhw/9vUI8OCGJUezfXT0lh65zhe+dUMbr96GPEyVHIX85py6ZnD82++\nxeYzZF9trHnf8x7a1mhi8KBgTIZ9nfIW3XV3p3xVax3NphIuXjjNxfMG2povUlOeR2XxfoJCwqjI\n/4rY1FHfx04pZbnbuGvhol51tvYbm5hCXXke9Re+X4NVG9A0Gvqdn/p7/lTiPKe4re/fffcdK1as\noKSkhMTERP7xj3+wYMEC0tLSuOGGGzh48CATJkzg1ltvZcKECSxcuJCHH36YX/7ylxQXF7Nlyxa7\n+zIaLyJJEsUl/3FK1//PPZELWBg1cnTn1gjreesWkG3b/01MdCy6aB2jRo7qdauE0Whk955dnQmx\nddtWtNpQJKmRK6ZdQd3FWiIjojh0+CDjx02k7mItiQlJ5OXlUV5xlquv+oHN7b+SJJF74jhNjc2E\nhAYzauToznEkJiRRea6i1/H8p33v4+xqE2e36rnS3lUc6b+rLfTpGZ22s9rk22+/5eTJE1gIID09\nDZ1Ox6iRo2loaGDrtq0MGhSDTqdDn55BSWkxpppaKirL0KdnkpaWxt59e9CGaZEaJK6+6geEhYV1\n66+ktMRm37boGk9d46Kv8do654p/XJHX23XW49Zc6Dk+R2T1JD8/jw0b13PXwkUMGhRr037Q3bYN\nDQ1s/uQjJk+cxP6DB5h303waGxv6lGNtn501krz8E505b70uLCxMVj/YYsmSX/POe+9x5+23O7Tt\n3Yo38ra/PuXSyeqfrvNs93nyOE1NTWBR0dTcwIULNcy9eq7NrYH2zJO29J49exqnThUzbFiG2B6q\nMG6++ToOHPiWSZMm9Lvt3YrBYGDzJx8x76b5l2x7tyJX/CoxNwXKoL3dQmNLGw1NbbS0taMCVCrQ\nBKqJCtcQqHbvuzkxrykXW+uX3p6Bemtjpec9NEOfSUNDQzd5Pdc81rVSSGgwTU1NlJdXkKHPIC0t\njUOHD5KYkMg///VP7lq4iKys7D51tvYbGRHF3n177FqD2TMub8xzPln1fdmyZSxYsIBHH32Un/70\np7zzzjsYjUZ+/OMfs3z5cm677TYsFgvvvvsukydPZtiwYUiSRHJyMgcOHODAgQOo1fYVwBBV351H\nkiSKigvJzBgqbtweQNhb0BsiNjyLsLf/IHypDIQffA/hM4Gn8ceYs2ehrrgPIz7//PNAx2/Or732\nWhITE9mxYwcrVqwA4MUXX+See+7BZDIRGRnJ//3f/3W2nTNnDtXV1f2+gbMSEKAiIMC16pkDEUmS\n+O0La74vEvdvh4vM2YMcxeT8he5FLr4UxXwEnYjY8CzC3v5DT1++9LT4Pa03EDnle4jcEXiagTxP\nKG6h3hOz2dztUxQWiwW1Wo3ZbL7k2vb2drvfpgPExGhd/szFQKSkpACiMomLH0J1lQqjsZyUlMtl\n7UPsdvgPRcWFmMMziY5PpYaOLbZjRo/1tloCBSBiw7MIe/sPPX0p8A4ip3wPkTsCTzOQ5wnFL9ST\nkpI4d+5c59+NRiMJCQkMGjSIixcv0t7eTkBAAGazmcbGRqKiouyWXV0tiTfqTtBRJG4zRrMFdX0x\ncXHXylYATnApHUUuvqQGvi9ycY23VRIoBBEbnkXY23/o6UuBdxA55XuI3BF4moE8TyjuN+pWrrrq\nKv7+978TGxvLNddcw9q1a9Hr9SxbtoysrCzuuusu7rvvPq655hrmzZvHRx99xNatW1m9erXdfYi3\nts4jist4FmFvQW+I2PAswt7+g/ClMhB+8D2EzwSexh9jzieLyVm5+uqr2bhxI4MHD+bgwYM899xz\nNDc3M3bsWJ599lkCAwOprKzk8ccfx2g0otPpePHFF0lMTLS7D7FQdw1/LOwgJ8I+gr5wZ3yI2FM2\nwj8CX0DEqaA3+ooNQ+VFPt1bSvmFBpJiwrhuWhr6pEjvKCrwa3x9jvLphbonEAtOSkKVAAAgAElE\nQVR15+le2KFoQBV2sAdhH0FfuDM+ROwpG+EfgS8g4lTQGz1jo2sxucMFRtZ8nEub+T8FgQNUKhZf\nl8X0MUneUFfgp/jDHGXPQt29H1UU+C1dCzuYwzMpLhG/U+qKsI+gL9wZHyL2lI3wj8AXEHEq6I2e\nsWGl4oLE//7zBG3mdjRBAUzMiidEo6bdYmHtZ3nklVZ7UWuBvzFQ5iixUBc4RUdhhyJqqs58X9gh\ns/9GAwhhH0FfuDM+ROwpG+EfgS8g4lTQGz1jAzq+yLR+y0maW82oA1Q8ctvl/HLeaJYtnEBYcCAW\nC/zvv07Q2NzmZe0F/sJAmaPE1neB0/hjYQc5EfYR9IU740PEnrIR/hH4AiJOBb3RMza+KzzPa5uO\nAjB/pp4bp+s7rz1cYORPHx4D4AcTU7lj7jCv6CzwP3x9jhJb3wU2kSSJo8eOIEmufVJNq9UyZvRY\nn0wOZ3DUbgPNPr6IXLngDO6MD3+IPW/6xt34g3/8AX+OMXvob/wiTgV90fU936mzJgCiI4L54eQh\n3a4bNzyOccNiAdh+6Cznaxs9p6TAr+k6R/nrfK5euXLlSm8r4S0aGlq8rYLHsRZfOHQadn71JTMm\nX45Go/G2WopH2M3/ED5VLsI3AnfTM8auuXK6t1XyKCLHBM5iK3eSY7WoVCp+MmcoMZEhl7TRJ0Ww\n/VAZ7RYLrWYLlw2N9YLmAn/FV+czrTa432vEG/UBxkApviA3wm7+h/CpchG+Ebib3gpiDRREjgmc\nxVbu6MKD+cmVQ0mJD7fZJj46jKmjEgD4+kg5NRebPaavwP/x5/lMLNQHGAOl+ILcCLv5H8KnykX4\nRuBubBXEGkiIHBM4i7O5c/20NFSAud3CjsNl7lNQMODw5/lMFJMbgPh68QVvIezmfwifKhfhG4G7\nGegxNtDHL3AeZ2Pn5X8c4VjxBSK1Gl785RUEqsX7QoE8+OJ8Zk8xObFQFwgEAoFAIBAIBG7lSOF5\nXv2+OvwvbhrFlJEJXtZIIPAeouq7QCAQCAQCgUAg8DpjMgYRG9VRbO4rsf1dIOgXn1mof/zxx9xw\nww3ceOONvPDCCwAUFBRw2223cd111/HQQw/R1NTkZS0FAoFAIBAIBAJBTwICVMwZlwxAwRkTVSbx\nqTaBoC98YqHe1NTE888/z8aNG/n44485ePAge/fu5dFHH2XJkiV89tlnZGZmsmbNGm+rKhAIBAKB\nQCAQCGwwbVQiqu//f+/xSq/qIhAoHZ9YqJvNZiwWC01NTbS2tmI2mwkMDKS+vp6JEycCcOutt/Lp\np596WVOBQCAQCAQCgUBgi+iIYEamRwPwzfEKBnCpLIGgX3xioa7VannwwQe59tprmT17NsnJyQQF\nBZGQ8J8iFPHx8Zw7d86LWsqLJEkcPXYESZKcOu9JlKSLXEiSRM7+feTsz3H7uPzRfr6CXLbvKkcJ\n/lSCDvaiJF09pYvRaOSDDzdhNBrd2o+gb2z5WwnxqAQdlKSHkhC524GrsXHFmCQAjKYmTp2tlVM1\ngY/gS+scOXB2PIFu0kdWTp48yYcffsiOHTsIDw9nyZIl7N69G5VK1e06tVrtkNyAABUBAar+L/Qw\nkiTx2xfWYA7PQF3/b55bdn+3Tw30d15JujpLW1u7DNo5hyRJPP7sK5w8fYHopBEkaLbz/BMPusXG\nkiTx5Ko3MIdnoq7/kqeX/tJnPivh68hl+65y2mv+hUoVgEo3wmv+9KWYUpKuntLFaDSy8P4V6NKn\n8OZ7K9i4+hni4uJk70fQNz39/dLTSxQRj0rQQUl6KAmRux3Yyh1HGT8sjmCNmuYWM98cr2R4qs4N\nmgqUSn/zi7/NP66MxycW6rt372bq1KlER3dslZk/fz5vvfUWVVVVndcYjcZub9jtISZGe8liXwmU\nlBRAVCZx8UOorlJhNJaTknK53eeVpKuzePPTeUXFhZhatMQOSSM0Kp6W1giKS4oYM3qsW/oyh2cS\nHZ9KDbitH8GlyGX7rnKKzp1Gq4sn0Yv+9KWYUpKuntJl19c70aVPQRevB2D3nl3Mn7dA9n4EfdPT\n37aODeT8VYoeSkLkbge2csdRgjVqJo2IZ/exCg7kn+OnPxhGUKBjL9sEvkt/84u/zT+ujMcnFupZ\nWVmsWrWKBx54gNDQULZv386kSZPYunUrBw8eZOLEiWzatInZs2c7JLe6WlLkG/X4+GSo3YzRbEFd\nX0xc3LXU1Eh2n1eSrr5IZsZQdJp/cfL06e/fqFeTob/ZbX2p67+kBlDXF5Ghv8Yt/QguRS7bd5Wj\n00ioGg3UVIV4zZ++FFNK0tVTusyaOZs331sBgKk0hxlLnnFLP4K+6elvW8cGcv4qRQ8lIXK3A1u5\n4wzTRiey+1gFjc1mjhReYGJWvHxKChRNf/OLv80/roxHZfGRKg5//etf2bRpExqNhtGjR/Pb3/6W\n06dPs2LFCurr60lJSeHFF18kPDzcbpnefGvbH5IkUVxSRIY+0+b2iP7OexIl6SIXkiSRe+I4oGLU\nyFFuHZc/2s9XkMv2XeUAXvenL8WUknT1lC5Go5Hde3YxY/qsAbl1VinY8rcS4lEJOihJDyUhcrcD\nOWKj3WJhyRvfUHOxmXHDYvnVAt99YypwHF9a58iBrfHExUX0285nFuruQMkLdbmQJImi4kIyM4b6\nRaD7C8IvAkcQ8WIfwk4CR/DnePHnsXkTYVd5ef+rQj7POY06QMXLv5pBeGiQt1USDEC8ldf2LNTV\nK1euXOl+VZRJQ0OLt1VwK9biBYdOw86vvmTG5MvRaDTeVmvAI/wicAQRL/Yh7CRwhJ7xcs2V072t\nkmyIXHAPwq7yE6XV8NXhMiwWiNWFok+K9LZKggGGN/Naqw3u9xqf+DybwDm6Fi8wh2dSXOL8b4kE\n8iH8InAEES/2IewkcISe8eJPiFxwD8Ku8pMSH05KXMdPVvfmVnpZG8FAROl5LRbqfkxH8YIiaqrO\nfF+8wL8eRnwV4ReBI4h4sQ9hJ4Ej9IwXf0LkgnsQdnUP00Z3fLGp8GwtVaZGL2sjGGgoPa/Fb9T9\nHH8rxuAvCL8IHEHEi30IOwkcwZ/jxZ/H5k2EXeWnuq6JJW98gwWYP1PPjdP13lZJMMDwVl6L36j3\ngxJ/o240GtnyxefExcbJEiwajYaE+IRef28hSRL5J/MID4+w6zcZkiRx+LtDlJWVEa2LFr/PsgOr\njQMC1BQVFxIeHoFWqyVcG975d41GY/M6YV9l0DVPamtr+8xRd/ixvzzuidzziK9gy072znF9Xefo\nPNkf+fl5/OGlP5CakkJs7MCtHO1tWltbqa6pJiY6xiW/yh0fcshzdM6QI08cRW67eYLi4iI2bNxA\nhj5jQOeunL4LDQ6k4IyJ87VNmOpbuGp8MiqV8j6dLJAPV+KnZ1t7ZPW3dnF0vpQLe36jLhbqCsJo\nNLLw/hUU18fx7jsbuWbOFLd/FsyRAgqSJPH4s6+w6cuDfHe6jZxvdjBr6nifucF6A6uNDxra+etf\n36LEpOXrXdsYP3o4z/zxzU7bW//e8zpRrMb7dM2TLz7bzF/f3kyxFG8zR63X7i9s5q116zBIOnZ9\n9W+P+tHT84iSsXeO6+s6uQvN5OfnseihZ2iNmcSGDX9j5qSRA/qB31vIVUxO7vjwRmEjOfLEXX0q\nCZG7HbijEGO7xcJ3p85T39jKZUNjiY7ofwEj8E1cyf2ebXs+S9uSpeS1iygm52Ps+nonuvQp6OL1\n6NKnsHvPLrf252gBhaLiQkwtWmKHjCc8Vk9LaJriii4oDauNwyLj0KVPgQAV5vBMvt69q5vtrX/v\neZ2wr/fpmicXmkOITJ3Ya45ar0UFuvQphEXGe9yPnp5HlIy9c1xf18ldaGbd+nUkj7oaXbye5FFX\ns2HjepfkCZxDrmJycseHNwobyZEn7upTSYjc7cAdhRgnDI8nKLBjSSKKyvk3ruR+z7Y9n6VtyfL1\ntYvTC/XNmzfT0tL9jfS+ffu45557uOmmm3jkkUcoKvIdQyiBWTNnYyrNwVRVgqk0hxnTZ7m1P0cL\nKGRmDEWnkTh/+hD150vQNBoUV3RBaVht3FBnxFSaA+0W1PVFzJwxq5vtrX/veZ2wr/fpmieDgpuo\nO3Ow1xy1XosFTKU5NNRVedyPnp5HlIy9c1xf18ldaGbxosWU5W7DVFVCWe427lq4yCV5AueQq5ic\n3PHhjcJGcuSJu/pUEiJ3O3BHIcawkEAuHxoLwP4T5zC3t8siV6A8XMn9nm17PkvbkuXraxeni8ll\nZ2eze/duBg0aBMDXX3/NPffcw4wZMxg2bBjHjx/nyJEjrFu3jvHjx8uqtFwosZic0Whk955dzJg+\ni7g492+pcrSAgiRJ5J44DqgYNXLUgN1S6whWGycmJFF5rqLT1j1t39t1Au/T1VcNDQ195qgS/Ojp\neUTJ2DvH9XWd3IVm8vPz2LBxPXctXERWVrbL8gTOIZdf5Y4PbxQ2kiNP3NWnkhC524E7fPfdqfO8\n9sFRAH79k8sYkzFIFrkC5eFK/PT27NyXLKWuXewpJuf0Qj0rK4s9e/Z0LtTvvPNOLrvsMpYuXdp5\nze9+9zuOHTvGO++840wXbkeJC3WBQCAQCAQCgWAg0WZu5zev76G+sZWpoxK458ZR3lZJIHAr9izU\nZfuNusFg4MYbb+x27LbbbuPEiRNydSEQCAQCgUAgEAj8jEB1AJOy4wE4VGCkqaXNyxoJBN7H6YV6\nz08n6PV66uvrux2rrq4mIqL/fy2wh+3bt7NgwQKuv/56nnvuOQD279/PvHnzuPbaa3nqqadoF79p\nEQgEAoFAIBAIfI5poxIBaGlt53DBeS9rIxB4H6cX6haLhauuuop58+bxyCOPEBgYyO9///vOAnMH\nDhzgqaeeYtYs1wsZnTlzhpUrV7JmzRo++eQT8vLy2LZtG4899hivvfYaW7ZsobGxkQ8++MDlvgQC\ngUAgEAgEAoFnyRwcSZwuBBDV3wUCcGGhvnPnTv70pz9xww03EBAQQE1NDadOncJsNgNw7733Ehoa\nyiOPPOKyklu3buX6668nPj4etVrNyy+/TGRkJKmpqQwZMgSAH//4x/zrX/9yuS9/R5IkcvbvI2d/\nDpIkff/3HHL270OSpD7bHT12pNs1PWU50tZfsdpk564d3WzsyPit1xuNRtnt5ogu/uC3/sZg7/mu\nvujapre8sMdu7rRvfn4eSx9/lPz8PNllewqj0cgHH27CaDR6W5Ve6S8WesNgMPDyq3/EYDB4QEtB\nbxw+fIj/vudnHD58yNuqOIWrc0jX9nLlmy2dusr29fvK559/yqwrZ/L55596WxW/RKVSdb5Vzy2t\npra+2csaCeRGzjmgv+flnvfo3tYsfenk7TnL6WJytjCbzajVagAKCwvJzMy8ZIu8M6xcuRKNRkNx\ncTFGo5Err7ySYcOGsXPnTl544QUATp8+zT333MOWLVvslnvhQj0BAa7r5ytIksSjT71MvuE80Ukj\niFWfQxWgxtgaS03FSbLSYnnht7+2WfH4iedXYw7PQF1fzHPL7gfoJisxpIZVKx6yq6091Rbb2nzv\nZwySJPH4s69woqSStlYLifrRxKrPExCgIiA6G3V9EU8v/WW/FXWfXPUGrVo9Bd9uZejY2QS3nO23\nnb36PbnqDczhmf3q4si1SqW/Mdh7vlmTQuHRnQyfMBdMJ1GpAlDpRmAxncRiae/mW8Auu7nTvvn5\neSx66BmSR11NWe421r+6wueqExuNRhbevwJd+hRMpTlsXP2M4qrXd/Vhe01eZ1z050+DwcCd9y0n\nMXsOlXk7eGfNs6SlpXlYe8Hhw4f4xdI/kDJ6LmePb2X/l+96WyWHcHUO6dq+peoIRYYKovXTXMo3\nWzo1NDR05vKFoj2MGJpO4KCRPnlf+fzzT3ny5b+TOnouZ45v5elf/xc/+tH13lbL76isbmDZ/+4D\n4ParhvLDyUO8rJFALuR89rH1jBYklXTK7HmPNre1UVheS3TSCBI01Tz/xIOXXNdTJ3c/C9tTTC5Q\ntt6gc5H+7bffMmbMGFkW6dDxDwC7d+/m7bffRqvVcu+99xISEtJNvsVi6ezfXmJitLLp6AuUlBRQ\nZ9YSl5ZGaFQcNRV1hEXFE6FLIlATzkXzeYzGclJSLr+kHVGZxMUPobpKhdFYjsVi6SarrS3K7rY9\nr7GFL1bkLyouxNSiJSwymRDdYLS6BBobgmltqiMzPpUaoLikiDGjx/YpwxyeSVjEIHTpUyBAhTk8\ns9929upnDs8k2g5dHLlWqfQ3BnvP09qMLn0KYZHxlFedRauLJzE+lcrmRqTa8918a7FY7LKbO+27\nbv06kkddjS5eD1zNho3ref6538si21Ps+nonuvQp348Bdu/Zxfx5C7ysVXe6+rDo3OnOuOjPnx9u\n/oDE7Dno4jrGtvmTj3joVw97UHMBwOo1q0kZPbcjxkbP9bY6DuPqHNK1/eG8/ejSprqcb7Z0Kigo\n6Mzli9VlNGqSGeKj95XfvfB7Usfd3RkzL/zhBbFQdwOJMWHokyIpqahjb+45sVD3I+R89rH1jNak\nCuiU2fMe3dLaQuyQTEKj4mlpjbB5XU+dlPAsLOtC3crPf/5zPv74Y1JTU2WRFxsby7Rp04iOjgZg\n7ty5fPHFFwQE/GfnvtFoJCEhwSG51dXSgHqjHh+fTKRaIt9g6HijHtyIquUsRqmp8416XNxgamqk\nS9pRuxmj2YK6vpi4uGsBusnShtQQF3ezXW17XuMvZGYMRaf5F+V1ldRdOEvA92/UtUEqaqrOoK4v\nIkN/Tb8y1PVf0mBpx1SaQ+zY2Xa1s1c/df2X1EC/Mh25Vqn0NwZ7z7dpUjCV5tAwKAKdRkLVaKCm\nKgRN42mCgtov8a09dnOnfRcvWsyih54BOt6oP//qCtlke4pZM2fz5nsdeptKc5ix5Bkva3QpXX3Y\nNS768+ct8xaw6b7lAFTm7WDeg896SGNBV+6/735+sfQP8P0bdfiZt1VyCFfnkK7tBw8KpsiwD1WA\nyqV8s6VTYkJSZy631JQSOghqqqJ88r7y+KOP8eTLfwfrG/Ulj3pbJb9l2qgESirqMJy7yOlzFxmS\nIE9haoF3kfPZx9YzWpBU0imz5z3aHNBG4elDnW/UM/Q396uTEp6Fnd76ftVVV/X6Nrq8vJyEhITO\nN9zbtm1zXkPg6NGjPProo7z//vuEhYXxq1/9ijlz5rBmzRrWrl2LXq9n2bJljBgxgkWLFtkt1xff\n2rqKJEnknjgOqBg1suMblbkncgELo0aO7nMrdHFJERn6zG5bQrrKcqStv2K1SVNTEyEhoZ02dmT8\nVnslJiRRea5CVrs54gt/8Ft/Y7D3fFdfwH/82fX/u+aFPXZzp33z8/PYsHE9dy1c5HPb3q0YjUZ2\n79nFjOmzFLft3UpXH4L9eW4wGNj8yUfMu2m+2PbuRQ4fPsSf/7KGe39xH+PGjfe2Og7j6hzStX1D\nQ4Ms+WZLp665HBYW5tP3lc8//5QX/vACjy55VLxNdyP1ja08snoPrW3tzLosibt/5Jv3McGlyPns\n09/zcs97dG9rlr50cuezmj1b351eqC9fvpxNmzYxefJkJk+e3HncYrHwl7/8hdtvvx2dTgfAAw88\n4EwX3fjwww9Zt24dbW1tXHHFFSxfvpxvv/2W5557jubmZsaOHcuzzz5LYKD9mwQG4kJdIBAIBAKB\nQCBQMms/y2P30Qo0gQG89MB0tCFB3lZJIJAVty7UoaMa+5NPPsnNN9/Mb37zG4KCOpJo3LhxfPLJ\nJ7JtfXcXYqEuEAgEAoFAIBAoC0PlRZ762wEAbrtqKNeI36oL/Ax7FupOf54NOn4rvnnzZgoKCliw\nYAGnTp1yRZxAIBAIBAKBQCAY4KQlRpCZHAnAV4fKaJfvI1UCgc/g0kIdID4+nrfeeov58+dz5513\nsnbtWjn0EggEAoFAIBAIBAOUq8enAFBlauRY0QUvayMQeB6XF+pWFi9ezMaNG/nwww9pamqSS6xA\nIBAIBAKBQCAYYEzMiidKqwHgs30GL2sjEHge2RbqAFlZWXz44Yds2LDB4U+lCRxHkiSOHjuCJHnn\nc2d99e9t3dyFO8c1EO2pdJyxu9Fo5IMPN2E0Gt2omfJ16IqI3+4ozT8DFVtxqfRYVbp+feHLulsx\nGAy8/OofMRjEotETBKoD+OHkjnpXp87WUnDG5GWNBN7E0TnEer3RaPTZucelYnJWXn/9ddvCVSqC\ngoJITExk1qxZnVXglYIvF5OTJIknV72BOTwTdX0RTy/9pUc/ddJX/97WzV24c1wD0Z5Kxxm7G41G\nFt6/Al36FEylOWxc/YzHPy2mBB26IuK3O0rzz0ClZ1y+9PQSxceq0vXrC1/W3YrBYODO+5aTmD2H\nyrwdvLPmWfF5RQ/Q2NzGkje+oaG5jbGZg3j41su8rZLACzg6h1ivb9akUHh0J8MnzCVIKlHU3GNP\nMTn1ypUrV7ra0erVq/n444/57rvvqKmpobi4mK+++opvvvkGg8HAli1beO+995g9ezaDBg1ytTvZ\naGho8bYKTpN/Mo9DpyE6PpWGVjX6OBUJ8Z7bxdBX/97WzV24c1wD0Z5Kxxm7b/nic4rr49DF6yFI\nSySVZGeN9JDGytGhKyJ+u6M0/wxUesbltdOzFR+rStevL3xZdyvr1q+lWpOFLk5PYJiOxnNHmDpl\nqrfV8nuCAgNoajVTcMbEuZpGxg2LJSo82NtqCTyMo3OI9fr2djPtoYnEJabSSoii5h6ttv84lmXr\n+9ixY5kwYQLbt29n8+bNbN68me3bt3PFFVcwf/58cnJymDNnDi+++KIc3QmAzIyhqOuLqKk6g7q+\niAx9pmL697Zu7sKd4xqI9lQ6zth91szZmEpzMFWVYCrNYcb0WR7QVHk6dEXEb3eU5p+BSs+4tHVM\nabGqdP36wpd1t3LLvAVU5u3AZCyhMm8H826a722VBgxzJ6agCepYsny0q9jL2gi8gaNziPV6LGAq\nzaGhrson5x5Ztr5PmzaNtWvXkp2d3e14fn4+ixcvZu/evRQWFnL77bdz8OBBV7uTDV/e+g4d2zqK\nSzqCzhvbOPrq39u6uQt3jmsg2lPpOGN3o9HI7j27mDF9lte2NCtBh66I+O2O0vwzULEVl0qPVaXr\n1xe+rLsVg8HA5k8+Yt5N88W2dw/zwc4iPt3bURvgsZ+OZ3iqsn5OK3A/js4h1usTE5KoPFehuLnH\nnq3vsizUJ02axFtvvcXYsWO7HT9y5Ah33303hw8f5vTp08yfP59vv/3W1e5kw9cX6gKBQCAQCAQC\ngb/T0NTK0j/vRWpqIzM5kmX/NQGVSuVttQQCp7FnoS7L1vcZM2bw1FNPdauCWVJSwrPPPsuMGTMw\nm828++67jBgxQo7uBAKBQCAQCAQCwQAhLCSI66elA1BUVsehAvHVDIH/I8tCfcWKFQQEBHDttdcy\nZcoUJk+ezHXXXYdarebJJ5/k66+/5r333uPhhx+WozuBQCAQCAQCgUAwgLh6QjIxkR0FuN7bdorm\nFrOXNRII3IssW98BLBYLOTk55OXloVarycrKYvLkyQDU1NQQGBhIRET/r/j7Y9WqVZhMJn73u99R\nUFDAihUruHjxIsOGDWPVqlWEhITYLUtsfRcIBAKBQCAQCHyDg/lVvLH5OAA/mjqEW+cM9bJGAoFz\neGzrO3R8M33q1KksXryYu+66q3ORDhAdHS3LIn3v3r1s3ry58++PPvooS5Ys4bPPPiMzM5M1a9a4\n3IdAIBAIBAKBQCBQHhNGxDEmo+NTz1/uP8NZY72XNRII3IcsC/WsrCyys7Nt/hk7diw//OEPWb16\nNa68vDeZTLzyyivce++9AFRWVlJfX8/EiRMBuPXWW/n000/lGI5PIEkSR48dwWg0cvTYESRJsnm+\n53FH5XgSe3X2Fx1s9eWIX5Vgr75Qun496csfvY3B1nmj0cgHH27CaPTe7+d8zfb9Ied47JHVMw/l\nnh/z8/NY+vij5OfnySJP4By2ctVdueOKXE/nsyP9OTNv+jJ79+7hx7f9mL1793hblQGLSqXipz8c\nTlBgAOZ2C3/91wnazO3eVkvgZmzdl3P27yNnf47Tc5WrunhijpNl6/uGDRt46aWXuOOOOzoXzocP\nH+btt9/mjjvuICoqig0bNrB48WJ+/vOfO9XHQw89xJ133kl5eTn79+/n9ttv54UXXuDtt98GwGw2\nc/nll3Ps2DG7ZV64UE9AgO9VjJQkiSeeX01rWDoFh7YydOxsglvKeG7Z/Wi12s7z5vAM1PXFnccd\nleONMVl1fvGp//Fo/1Ydnlz1BubwTNT1RTy99Jdus4OtvgCeXPUGzZoUCo/uZPiEuQRJJZ16dG3T\nXpOHShWASjfC7bo6gydtKQd9+aO3Mdhq09DQwML7V6BLn4KpNIeNq5/x+Oe3fM32/SHneOyRZb2m\nVaun4NutpGdPpTRv3yX56Cz5+XkseugZkkddTVnuNta/uoKsrOz+GwpkxWg0dsvVLf/4s9tyxxW5\nns5nR/pzZt70Zfbu3cODv32d1NFzOXN8K6899QDTpk33tloDli/2n+b/thcCcP20NBbM9q3vYwvs\nxzrXWJ+PM8bO5NThrwgIjiB6cBYJmmqef+JBh+Yqdz5H2Is9W98DnZLcg08//ZRly5Zx2223dR6b\nO3cuGRkZbNq0iXfffZdhw4bxwgsvOLVQf//99xk8eDBTpkzho48+AjoW5j0/y6BWqx2SGxOj9clP\nO5SUFEBUJhHhcUSlT0EdGAChmRiN5aSkXN55Pi5+CNVVqs7jjsrxxpisOnuDouJCzOGZRMenUgMU\nlxQxZvTYftvJ1ZfFYsEcngmtzejSpxAWGU+TKqBTj65tis6dRquLJ9EDujqDJ20pB335o7cx2GpT\nUFCALn0Kung9ALv37GL+vAVeH4uSbd8fco7HHlnWa8IiBqFLn8LFWqPNfMXzTycAACAASURBVHSW\ndevXkTzq6u9j5Go2bFzP88/93ml5AufY9fXObrkK7ssdV+R6Op8d6c+ZedOXeemVl0kd/aOOmBk9\nl1dee1Us1L3IDyalcrToAnmGGj7ba2BkegzZadHeVkvgBqxzjfX5uLWlFU10OpFxaWijEmhpjXB4\nrnLnc4ScyLJQz8vLY+rUqZccnzhxIk899RQAI0eOpKKiwin5n3/+OUajkb1791JbW0tDQwMBAQFU\nVVV1XmM0GklISHBIbnW15JNv1OPjk6F2MxdbzdSW5hAXOZvAhiLi4q6lpkbqPG80W1DXF3ced1SO\nN8Zk1dkbZGYMRV3/JTWAur6IDP01Hu9LXf8lbZoUTKU5NAyKIEgq6TzXtY1OI6FqNFBTFeJ2XZ3B\nk7aUg7780dsYbLVJTEjizfdWAGAqzWHGkmc8O5Be9PJl5ByPPbKs1zRY2jGV5nS+Ue+Zj86yeNFi\nFj30DNDxRv35V1e4JE/gHLNmzu6Wq7DYbbnjilxP57Mj/Tkzb/oyjzz8ax787evQ+Ub9IW+rNKAJ\nUKn42fXZPPnWfhqa21iz+Ti/vXsSg6LsLyot8A2sc431+Thm7ExaakqpbriA5fs36hn6m/tt76nn\nCDmRZev7ddddx09+8hPuvvvubsf/9re/8c477/Dll1+Sk5PD0qVL2bFjh0t9ffTRR+zfv5/f/e53\n3HzzzaxYsYKJEyfy+uuvU1dXx7Jly+yW5ctV3yVJorikiMSEJCrPVZChz7xkW25xSdElxx2V40ns\n1dlfdLDVlyN+Bbxur75Qgj8doS9/9DYGW+eNRiO79+xixvRZHt/23pdevoyc47FHVs88lHt+zM/P\nY8PG9dy1cJHY9u5FbOWqu3LHFbmezmdH+nNm3vRl9u7dwyuvvcrDDz4k3qYrhCOF53lt01EswJCE\ncB7/rwkEBzm2w1agfGzdl0tKiwEVo0aOcmquclUXV2XZs/VdloX6P//5Tx577DGuvfZaxo0bR3t7\nO0eOHOGLL77gqaeeYvz48fzsZz9j7ty5Di2kbdF1oX7q1ClWrFhBfX09KSkpvPjii4SHh9sty5cX\n6t5EkiSKigvJzBjqdzdhX0H4QLkI3/gGwk8CEQPOM1BtN1DHrXT+9U0pH+7q2I15WeYg7r9lDIFq\n2T5sJfAgAynHPLZQB/jqq69Yu3Ytubm5BAYGMmLECO655x5mzpzJgQMH2L17Nw888ABBQUFydCcL\nYqHuOP5WqMoXET5QLsI3voHwk6BnDLz09BJvq+QzDNT8Gajj9gUsFgt/+SSX/XkdP4mdMjKBn98w\n0id/3jqQGWg55rFicgBXXnklV155pc1zkyZNYtKkSXJ1JfAi/laoyhcRPlAuwje+gfCToGcMCOxn\noObPQB23L6BSqfjZ9SNpaGrjeEk1OSfOoVLB/7suW7xZ9yFEjl2KbNH73Xff8cgjj3DjjTcyb948\nnnjiCU6dOiWXeIFC6CiiUERN1ZnviyiIz2F4GuED5SJ84xsIPwl6xoDAfgZq/gzUcfsKQYEB3H/L\nGIalRAGwL/ccr206SmNzm5c1E9iLyLFLkWXr+/bt23nggQcYM2YM48aNw2w2c/jwYU6ePMm6des6\nv62uNMTWd+fw50IxvoLwgXIRvvENhJ8EIgacZ6DabqCO25dobjHzxubjHCu+AEBiTBi/nD+alDj7\na1gJvMdAyjF7tr6rV65cudLVjh588EFuueUW/vjHPzJjxgxmzZrFT37yEy5evMgHH3zArbfe6moX\nbqGhoUU2WZIkkX8yj/DwCDQajWxyXUWSJA5/d5iysrMEa4IpKi50SUd/LfLgrP96a9efPFfPazQa\nEuITFBVrvogtO3c91tra6nBc2PKNXPODvXKMRiNbvvicuNg42fNUqXOdPXTVXavV9ptD7hqrwWBg\n3fq1DE4ajE6nk02uwDFqa2s5dPgQgwcny54n7shBR+437s7TgXoPys09zp9W/4nMjAySkpK8rY7A\nBoHqACZlxVNd18SZqnrqG1vZc6yCoMAA9EkRBKjE79bdjSvPUe6aWzrWQ4coKyuTZT0kB1ptcL/X\nyPJGfezYsXzyySekp6d3O15aWsrNN9/MkSNHXO3CLcj1Rl2pxQ8kSWLZc69xriWG82ePozY3M2Li\nDwmSSpzSUanjdBVnx9Vbu/7kuXpeIA+27Ax0HrOYTmKxtBMQne2SH+Typ71yjEYjC+9fgS59CqbS\nHDaufka2z8T5cmw6qru7xmowGLjzvuUkZs+hMm8H76x5lrS0NJflChyjZ55s+cef3SZbjhx05H4D\n+GyeKpnDhw/xi6V/IGX0XM4e38pfVi1h3Ljx3lZL0AsWi4Wd35XzztYC2swdS52UuHDmz9Jz+dBY\nVGLB7ha6zkntNXmoVAGodCO8OhdJksTjz77CydMXiIzVU1d+zKX1kFzY80Zdlt+oZ2dns3fv3kuO\nHz9+nGHDhsnRhaLpWvzAHJ5JcYkyfu9WVFxIS+gQwmP1hEUmE5k6kbDIeKd1VOo4XcXZcfXWrj95\nrp4XyIMtO3c91hI6BFNruMt+kMuf9srZ9fVOdOlT0MXr0aVPYfeeXU7154oOSsRR3d011g83f0Bi\n9hx0cXoSs+ew+ZOPZJErcIyeeeJO2XLkoCP3G1/OUyWzes1qUkbPRRevJ2X0XP78lzXeVknQByqV\nijnjkll+10T0SR0LorPGev70wTGefGs/n+8zcK6mgf7eV1osFhqa2ig/L5FbWs2eYxVs+/YsOw6X\n8c3xCgrOmKiT5Nuh6+t0nX9MLVpaQtO8PhcVFRdiatESO2Q8lsBgdGlTXVoPeRJZqr7fdNNNvPji\nixQXFzNlyhQCAwM5duwY69ev5/bbb2fz5s2d186bN0+OLhVFR/GDL6mB74sfXONtlYAOvTSNn1FT\nW09DXRnNNcU0JMQQJJU4paNSx+kqzo6rt3b9yXP1vEAeerOz9Zim8TRBQe1dipo45we5/GmvnFkz\nZ/PmeysAMJXmMGPJM07154oOSsRR3d011lvmLWDTfcsBqMzbwbwHn5VFrsAxeuYJLHabbDly0NH7\nja/mqZK5/777+cXSP8D3b9RXrBKf9PMFhiRE8MTCiew8Us4/95Rgqm+h7LzE+zuKeH9HERFhQSTH\natGFB6MJCqDdAk0tZmrrm6mVWjDVN9PS2t5vP0mDwhilj2H66CTSEvt/U+qvdJ2TdBoJVaOBmqoQ\nr85FmRlD0Wn+xcnTp4mM1WMqP0hDXKTT6yFPIsvW96ysLPs6U6nIy8tztTvZkLOYnFKLH0iSRO6J\nXMCCPj2DynMVLumo1HG6irPj6q1df/JcPS+QB1t27noMkMUPcvnTXjlGo5Hde3YxY/os2ba9O6qD\nEnFUd3eN1WAwsPmTj5h303yx7d2LuDNP3CHbkfuNL+epkjl8+BB//ssa7v3FfWLbuw/S2tbO3txK\ndh+roPBsrdv60SdFcvMMPWMyYgbkFnt3PEfJoVPuieOACn263uX1kBzYs/VdloW6r+IPVd/9tbib\nLyBsL/A0IuY8jztsLvyoXIRvBH0h4sN/qK5r4uQZE8VldZyvbcRU30JbezsqIDhITVR4MJFaDbpw\nDdHhwegigjv/Gxqspr3dQmOzGWNtI4bKi5woreFo0QXazP95+z48JYqF12aRHCtixd34Ym6KhXo/\n+PpC3ZcLO/k6wvYCTyNizvO4w+bCj8pF+EbQFyI+BP0hNbWy51gln+8zUPv979bVASqun5bGDVek\nE6iWpTSYoAe+mpseKyYn8A6iYIz3ELYXeBoRc57HHTYXflQuwjeCvhDxIegPbUgQP5yUyqp7pzF/\nVgaB6gDM7RY+2VPKC+8cprquydsq+iX+nJs+s1Bft24dN954IzfddBNPPPEEbW1tFBQUcNttt3Hd\nddfx0EMP0dQ0sBKgo2BDUZdiV5neVmnAIGwv8DQi5jyPO2wu/KhchG8EfSHiQ2AvmiA1N16RzjM/\nm8zwVB0AhWW1/Hbtfo4VX/Cydv6HP+emT2x9P3r0KMuXL+f9998nODiYpUuXkp2dzebNm1m+fDkT\nJ07ktddew2w28+tf/9puub6+9R1EwRhvImwv8DQi5jyPO2wu/KhchG8EfSHiQ+Ao7e0WPtlTwj/3\nlGIBVCq47cqh/GBS6oAsNOcufDE37dn6rl65cuVK96viGk1NTUyaNIkhQ4YAcObMGQoKCigtLeWx\nxx4DYMiQIaxatYq77rrLbrkNDa5/91CSJPJP5hEQoKaouJDw8Ag0Go3L8uyVo9FoCNeGX9K30Whk\nyxefExcb12/AOtqnK3Lk6stVPeRAo9GQEJ+ARqO5pE9ndDAajXz8yWbKyyu4UH2eaF20XbI8NV5/\npKvtWltbHbajrfy3ymlqambb9q3ExXZUfLZHdn++7BpzfWEwGFi3fi2Dkwaj0+nsGovScGQOcxRH\n8rW1tZXqmmpCgkNkmeMBvv32AL97YRWZej2pqUNckiVwHlt5UlFRwaeff0rakHRZc8eVePbUHO9M\nP+7STan3tc8++ydLlj5KclIiWVkjva2OwAdQqVRkpUUzLCWKI4XnaWlr53hJNab6ZkZnDCIgwPOL\ndW/ll7PPXLb0lSSJw98doqysjGhdNADVNdXERMc4/RzubnrqpNUG99vGJ96od+XChQvceuut3HHH\nHezYsYO3334bALPZzOWXX86xY8cckFXvUoJIksQTz6+mWZNM4dGdDB8/l6CGUp5bdr9TD5ZWeebw\nDNT1xXbJsdWmoUHiznuXE5U2hVpDDu/8+Vni4uJl69NZOY701dbW/zcre9PD0wUlevb52K/u5vd/\n+ptDOhiNRu6893FaVWFEJQyl4Xwh2RkJrPjNPX3K8tUCGkqgq+3aa/JQqQJQ6UbYbUdr+1atnoJv\ntzJ07GwCpGJUqgDaIzI59PU/GTxiOnVnD5GZloQm/rI+ZcvlS4PBwJ33LScxew6VeTt4Z82zPvcJ\nMKPRyML7V6BLn4KpNIeNq5+R9RNX9uarLR8Ht5x1Kc/27t3Dg799ndTRczlzfCuvPfUA06ZNl2Vs\nAvvpmSd7PtvottxxJZ49Ncc704+7dFPqfW3z5g947o1Nnbn7xC9/zLx5C7ytlsCHqKpp4NVNR6m4\n0ADA8FQd988fTUSYZxfL3sgvZ5+5bOkL8Pizr3Dy9AWik0YwSFVJYJCmU54zz+HuxtY40tMT+23n\nE2/UrZw9e5b//u//ZsGCBUycOJF9+/Zxyy23AGCxWHjzzTe599577ZYXGhpEaKjG6T+FhQXkFLUC\n7bQFJ5A0OI22gGDG6sPQ64c4LS82MY1Gs9ouObbaHDl6hLzqaKITMrAEaUkKq2XSpHGy9emsHEf6\ncna3Q/7JPA6dhuj4VBpa1ejjVCTEJzgly9k+VZKB0voYh3TY8sXnHD3bRvTgkYQPSkUdFIzZEkAY\nNX3K8sZ4/YWutquoqEQdkUzcYL3ddrS2D42MpQktYaFB1Na3oI5IRhMWgzk4hkB1ECFRKdTWGNGP\nnNqnbLl8uW79Wqo1Weji9ASG6Wg8d4SpU6Y6LMebbPnic4rr49DF6yFISySVZMv09sqRfLXlY1VI\nnEt59uv/+Q2RQ69BF68nWBvDgW1vc+uPb5VlbAL76Zknt10z3m2540o8e2qOd6Yfd+mm1PvaXYsX\nkTrhJ525u+X/XuW/f/Zzb6sl8CG0oUFMG5XImap6qmoauVDXxKGTRkbpYzy2WPdWfjn7zGVL3+qa\narZ/W0ZoTCbamBRqTRfQRA3plOfMc7i7sTUOvb7/HXU+U0wuLy+PO++8kzvuuIN77rmHpKQkzp07\n13neaDSSkOCYE6qrJWpqnP8TH58MtUWY29qpLc3hYk0l1BYRFzfYJXnGCoPdcmy1mTRxCrWlOdSc\nK6a2NIcJ4yfL2qezchzpy1m8UVCiZ58zZ8xyWIdZM2fTUlNKVfEBaitPUVuWiy6ovl9Z/lxAw910\ntZ1OI6FpNDhkR2v7hjojptIcaLd0ymlrMlGZtwNzWzMmwz6SojX9ypbLl7fMW0Bl3g5MxhIq83Yw\n76b5TsnxJrNmzsZUmoOpqgRTaQ4zps+STbYj+WrLx67m2SMP/5ozx7diqirhzPGtPPzgQ3IMS+Ag\nPfPE1jG5cseVePbUHO9MP+7STan3tWVLH+uWu0sfXeptlQQ+SFhIIA/9eCw/mJgKQJWpkWc3fEtu\nabVH+vdWfjn7zGVL38yMoeg0EudPH6L+fAmDghu7yXPmOdzdOGt3n9j6Xl1dzU033cTKlSuZO3du\n5/Gbb76ZFStWMHHiRF5//XXq6upYtmyZ3XLlKCZnLV6QmJBE5bkKl4sYOFMMwVYbo9HI7j27mDF9\nVr9b7OQqwGCPHE8Ue/BGQYmefTqjg9FoZNv2fxMTHYsuOopRI0fbJcsXC2goha62A5zOva75b5UT\nGRHFocMHmTF9FmFhYXbJlsuXBoOBzZ98xLyb5vvctncrjsxhjuJIvso9x0PH9vdXXnuVhx98SGx7\n9yK28sRdueNKPHtqjpfr+cNbuniCzZs/YNULq1j66FKx7V3gMjsOl/H3Lwtot1gIUKn46Q+Hc+W4\nZLf36638cvaZy5a+kiSRe+I4oGLUyFGXyFPiHNJTJ3uKyfnEQv3ll19mw4YNpKenY7FYUKlUzJ49\nmxtuuIHly5dTX19PSkoKL774IuHh4XbLVVrVd0mSKCouJDNjqFPFZqxtgUvkuCJbjvbO4q1+HcER\nHSVJ4njuMUDF6FGj3fqPFUq3m9IwGo3s+nons2bOvuRBujd7ymVnuf3lLv97M66UbiNH5OXn57Fu\n/ToWL1pMVla2y30LnMOWz4RvbCPuKR0oIT6EL/yL3NJq3vjoOI3NbQDMnZDCbVcPRR3gM5ueZaOv\nZ2Rr3CclDqaistxt8e/J/PKbhbq7UNJC3ZXiDl3bWkwnsVjaCYjO7lZ0wZXCEUooPKGUYhA9cURH\nSZK6Fb9I0FTz/BMPuqWitdLtpjT6KvbUmz3lsrPc/vLHAk9Kt5Ej8vLz81j00DMkj7qastxtrH91\nhVgQeoGePnvp6SXCN70g7ikdKCE+hC/8k4oLEq++f5QqUyMAYzIGce/NowgNDvSyZp6jr2dka9w3\na1I6indPmEuQVCJ7/Hs6v+xZqA+8f65RKEXFhZjDM4mOT8UcnklxSZFTbVtCh2BqDe8mxxXZrurm\nCt7q1xEc0bGouBBTi5bYIeMJj9XTEprmljH5gt2Uxq6vd6JLn4IuXo8ufQq79+zqPNebPeWys9z+\ncpf/vRlXSreRI/LWrV9H8qir0cXrSR51NRs2rnepb4Fz9PQZCN/0hrindKCE+BC+8E+SBmlZvmgi\nw1M7Pgl5rPgCz2/8lnPVDV7WzHP09YxsjXtUoEufQlhkvFviX4n5JRbqCsGV4g5d22oaT6MLqr+k\n6IIrRRWUUHhCKcUgeuKIjj2LX2gaDW4Zky/YTWn0VeypN3vKZWe5/eWPBZ6UbiNH5C1etJiy3G2Y\nqkooy93GXQsXudS3wDl6+gyEb3pD3FM6UEJ8CF/4L+GhQfzP7ZczY2wSAGXnJVb+7QB7cyu9rJln\n6OsZ2Rr3WMBUmkNDXZVb4l+J+SW2visIVwof9FegwdWiCkooPKHU7V2O6Niz+IU/FdTzdfoq9tSb\nPT1ZiNGb8twt1xt9e1Nefn4eGzau566Fi8TWai9iy2fCN7YR95QOlBAfwhf+jcVi4d8HzvD+jiLM\n7R1LtBljkvjpD4YTrFF7WTv30tczsjsKu/amg6fyy56t7z71HXW5cfZb3e5Co9GQEJ+ARuP4txS7\ntm1tbaW6ppqY6JhOWfbKliSJ/JN5hIdHdLvWlsz+2siBKzbxFH3ZpicajQadLpqLF+vsur4n9tq6\nq93c6R9P4u5xaLVasrNG2pyYe4tDW8ft1bPrdVqt1uE476uf2tpaDh0+xODBybLeaLyZj3L37Ql5\nkiRx+LtDlJWVEa2L7jwnSQ2cPnOasWMuQ6fTydK/wHFszd0WS8fx3uYCZ/H1eViufPF1O5w/f55D\n3x1m3OXjiI2V92sU9uILz0UC51GpVGQmRzFKH0NeaQ0NzW2crqpnf945UmK1xOlCva2i29BoNCQn\np5CcnExra2u3ucIa9z2fl/qbUxydc1zNL0f602qD+5UnFup+hrUQwqHTsPOrL5kx+XK7g623tn3J\ndKU/f8DR8bvDP3K3USK+Mg579XR1PH21txbGK66P4913NnLNnCnirYsXsBbG2fTlQb473UbONzv4\n0dUzMRgM3Hnfcqo1Waz/21rmzpggFuteoGcOXXPldLfljq/MX+7G1+1gLSbXGjOJDRv+xsxJI722\nWBf4PzERIUwfk0hVTSPlFxpoaGrjm+OV1FxsZniqjqBA//31slzPUp6ecxztz56Fuv96eYAiV1E6\ne4tmKbHwgidxdPzu8I+7+lMSvjIOe/V0Z4HHvgrjCTyHrcI4AB9u/oDE7Dno4vQkZs9h8ycfeVnT\ngYmtYnLuyh1fmb/cja/bQQnF5AQDi7CQIO6bN5p7bhpJeGgQALuOlLPsf/ey60g57e3++etluZ6l\nPD3nuKM/sVD3M+QqSmdv0SwlFl7wJI6O3x3+cVd/SsJXxmGvnu4s8NhXYTyB57BVGAfglnkLqMzb\ngclYQmXeDubdNN/Lmg5MbBWTc1fu+Mr85W583Q5KKCYnGHioVCqmjkzk2Z9PYXJ2PAB1Da387fN8\nnv7bAfINNV7WUH7kepby9Jzjjv5EMTkfQJIkiooLycwYanMbntFoZNfXO5k4YRK1dSaSEgdTUlqC\nxdLO6FFjLinG0JcsZ4pm2TrXXz9KQpIkjuceA1SMHjXa6UJ+iQlJVFSWk5kxFKDX8dtTqKI3+/Us\nGmiPjeUojKEEfzpatK+ouJCkxMGdPukvD/oaoz15Yz0PlxZztIXRaOTr3buYOePS4nX20Jc99u7d\nwx9feYXfPPww/5+9M4+PsjoX/3eWzEwy2SZkspOdBAggiCyKgCiKtW7Y1rZaKr3t1d622sW6XKmt\nteJSbWtr1ftrtdVu14pXra0CGgREZE2QJYSErEDWSTLZ3kkyk5n5/RFmOplMkne2zEx4v58PH2V4\n3/M+55zn7M95nksvXeF12pFKuOipqy6UlR+i6Vwza9de7aznv//9bzzx86f47/sf4ItfvC0kckp4\nbkNHjpTzwv+8wLe++S0WLbpYdDqT6d147T1YOhsObcETke4I7U9/+iNPPfM0D/zwPr761a+FWhyJ\nC5CKhi5e23GaJoPg/K0kV8dNK/MpzEwIoWSj8XZu7T52nqg4ztDQEGq1ZtT77n2bwwGd3Y7H70x1\nn+PN98Q4k5MW6mGO476DNbYARX8tD969cdTCw3GnLjFnKWcrdnLRZdcSZTqD3W5DrpuDor+WRx/4\nllOZXdNy/B5smYP1HV/w1MD/+7FnqTrTiS69mFRVF49vusenxbojzzZjJTKZHFlisU/5F1N+U1nG\n7t/6xaP3BSTNYE0iHfJatHlUl5VSuGA1avO5CdsBMG55TlbWvtRFMOvv1KlKNnznJ+hmzsN49gR/\n/u1PLwjv1eHQ73jqr5987pVRbWfnzh3c//jvyJq7hnMnd/Lzh+5kzZqrplROCc84/AekzbmC1spd\n/O3Fx8jJyZnwHX/6a391dqIN3VC3hemI1HYlwgWrzcZHnzbz1p56+gcszt/n5Sdx0+V5FGSEdsHu\n7dza0xzaGpNLzbHdFC1eS5RQP2auZjNWcvv6teTn5Y8aZyOpv5O8vk9CJDiTO1VVSfkZ0KXMpFcY\n5v33/0VFq9rppGDHh6XU9euJTcpEqU1CrbBjVyfRZxomI28eJouCPL2M1JTUUWm5/h5MmYP5HW/x\n5OShtq6GD8uaiE4qQJuUBXIVhWlRXsvrmueWllYUcZnoM/J8yr+Y8pvKMnb/1rUr/Fv0Bdu5h0Pe\n6PhkBtESEx2FTKOfsB10GbvGLc/JytqXughm/T3+5OMYBmJIzprHkKmH9sajXHP1uoCkHc6EQ7/j\nLoNMaKShP2lU27nrv+4kqXgdCSn5REXHsftff+Art2+YUjklPPPHV/9Al2o2ifo8lDGJDLQdZfmy\n5RO+409/7Y/OTtSPhkNbmI5IbVciXJDLZOSlx7N6YSaqKDmNbf0MW220GwfYc7SFpg6BRbOSkctl\nIZHvVFWlV3NrT3NouVyGLToNfdpMLGhGzdViE5M5duwIjT3RbP3nFpT6+SSlZkdcf3dBOJPbunUr\n119/PevWreP5558PtTgBx/W+g9B8mOi0i0Y5KXDcqevvaqK1chdRqihUA2dIjOr36q55sGQOp3to\nnpw8eLpH6ou8rnlOVAmoBhqDcv/Ym2cChae7nP4QbOceDnlNvQa6Gw6AzT5pO/DHD0O4+Q64YtUV\nJKYWoolLJjG1kFUrL4w76uHQ77jLsPLyVWPazhdv/SJdZyswdbfRdbaCW79w65TLKeEZX/wH+NNf\n+6OzE/Wj4dAWpiNS25UIN2I0Sm5ckcfT/3UpN67IJVo9Emf98Kl2eoXQHUZ6O7f2NIfGDt0NBzD1\nto+Zq52pKkeXXkxKZgHajEsYaD06bfu7iDZ97+jo4NZbb+XNN98kLi6Ob3zjG/znf/4nl112maj3\nI8H0HUbfgfZk3mEwGPh470dcvOgSevt6nErq7V3zYMgcTvfQJjI/rDh5ApBRMrfEr3vcrvfH/cm/\n2HvsU1XGgfzWVJhluraZ1rYWUe3AWz8M3vz7RDIGuv4EQeAHDz9FrzyNeFsrv/zZA2HTBoNNOPQ7\n7jJ4+vs3f/gTDIISvXaY/3nmpxdM/UQCjY2NvP3OW9x84/pJzd4d+NNf+6qzYq7khLotTDektisR\n7giDFvadaEUbHcWlJWmhlcXLubWnObSnOZwj3b++9aHziumDd2/0ONcLd6a96fsHH3yATCbjs5/9\nLHL5iHHArl27uOoqcXeGTCbzqMD0Fotl1P8f+fQITU3n0CXqnPHEbDvGJQAAIABJREFUXYPYGwwG\n/vHO2zS3tNDZ2el8zhMGg4Ft27eiT9ZjMpn4xztvU1dfS3l5OfHxCZw528jg4BA7PixFG6PlzNlG\n5HIFh8sOc+jwQS5asBC9Xs/lSxeSp5dxy/XrnJO+qupTREWpGRwaoLhoNoDTkdaZs42j8tNuaKO4\naPYohZ8on65l4o15skqlIjUl1ef3A4VrXrRa7Zjyc8iamZlFYmIiJypO0NR0DrVKTW1djVNuQRDY\nt38f27dvpaysnM7ODjo7O9Al6ujp6eEf77xNR4cBhUJBbGwcVdWnMLR3sP/APnp7e5Eh472t71Jf\nX09ZeRlpaekAzrJXq9Sjvn3mbOOkjol2fFhKydx5o2Iwu+voeGXh+LeJnnfFUZ/u8Sl9SU+lUnHx\nvCJkQiO3f+Emj/I72oI+WS+qc3f/pkNerVbrlPvUqUqe/sXTzMzKIioqivIj5WRkZI7Sg9SUVHp6\nepxttaOjgz+++geilEo++ngPOdm5tLa2ONOx22Hb9q1kZGSSl5fv7Be2bd+KXCZj90e7nW3ekSaM\nmHkl6ZLIyprpsW/xB5VKxY6t/8d7r7/Iwjl53HjjzV6nEUh5AvVNsbrlrqfuOOrHtZ91tPWRfrKc\n2toaGhsbqaqq5ODBg6SlpXvcvPHUT7rqHIDFYqHL2EWSLgmVSoVKpeJXTz3MqbKdyId7ueuub/lR\nahKB5o47buP1v/+dY8eO8OUv3y7qnZaWFt7d+i452bmj+jNX3PXAgRiddcWhd0m6JNZcvmTMeOZr\numK+Gapx3MHq1ZeyadNDvPPOm3zta9+Y8u+rVCrWrVnBkpIsNnzxlohaEEhcGKiUCvIzEpiZEjvq\nd0/rF8ecZKLNRU/t3n0MjY2NGzVvchwg7viwlIUXLUKXqOO9re/S3NJCU9M5qqpOsWfPR8658Y4P\nS+npNvL/fv//WHzxYjIyMlCpVMRqY0fNhR3fTUzUYbUOs/ziEppP72PxvGIsw5ZRa5uJGC9foejn\nxJi+R/SJ+u9+9zsGBgb47ne/C8C+fft46aWXePnll0W9f+ZMGw8/+QLW2HzsPdXYbTbkutnYjKew\n2e0YLMkYW6qYnZPMI/fdyeZnX8Eam4+iv47v33krX/vuowxao0AmIyNvAWnR3Tz18HfHKIrB0M5t\n3/wRCTnL6Krfx7BlEF3eSs5WfEh68WV01B5g9sIVnDr6CTPnruHsyZ3Mu2QN9Sf3o9EX09veiAoT\nf//9k+j1Kc50BUHg/p/+isr6drT6AkwddcyaqUOhUEJCEdXlI4605EL9mPz8/CffB+CBn/2a1kGd\nx3zajKeQyeXIEopQ9Nex+aFve73jv+nx551l5s37w8M20d+Z6PtiT24FQeChzb+hzZxE17lK7JZ+\n5iy9liihngfv3shPn/l/nBPiaT69n/Siy2irOUBMrJbCjCQamg3EzVxG06mPiNZokNnMyNVxaBJz\n6Dh7nLT8xbSe/oSo6ER0GXPoba9BPtxHcWEeRtIwNp/COtiDbuYijG3VKKxDFF9yjdN5xlh9Ou9A\nMHcZ3Q0H+PPzP0Ov10+YX28dqPlStmLTm8yxkjk6h/I9/ySjeAV9TZ868+dPHZ86Vckd3/0ZmSVX\nce74+8RqY0gpWjWq/NzLtqNmD4JgIrlgOa01B8iet5aWyg8ZGjKRs/B6mipKiY6SkTb3amc6ABu+\n/TAJOUtpOFZK9pyV9Jwrx2azkly4EmP9PgpzM4nSzw9IPXjivvu+z66jrcyct5azJ0q54qI0nn76\nV6LfD4UjqmA47POEo37jMhfSXLWXBcuvof7EXooWr0XWcxqLeZDqc10MW2wkphfTcno/6cUrGGg5\nyl9e2OzUE7HOIz05Yly9+lJM6lxn/cQMNbB7977AFKSEX9x003U0DyQ46yYjuod//OO9Cd8R44Au\nUPobjm1zqpDajYSEb7i34Xu+fit33ffEmDnkRO+4WvC6jqEXr7wBa2cFtY0t6PIupbvhAM8++l2+\n9+Nfk5i7jPbq3cjkMix2DTabFWzDmM2DaGKTiEvKxNhUQVLmXNoajzNz3lqaKnbw6q8fZubMbI8y\nO747d/FqThzcQVRMonMNlqo2TuoMOliOPX1l2p+oHzp0CJvNxrJlywA4e/Ysx44d44YbbhD1fk1N\nNQfqhklOy6FHsCEMmplZsICW1lZs6hTUiTNRaRKwWoeZET1IbU88yWk5DFgVdJ09wulONeoYHbqM\nOcQmZaFQarh4Vjx5edlER6ucf7Zt305llw5daj52hRZTXzfJOYvQxKdgt1qITyuiu7mCxNxlJKbk\noohOxNLfjnrGbOwyBQn6XGzIyJlhY8mSRc50a2qq2Xaggaj4bLRJOahjEhgcNGOVa0jOKMJkjyZe\nq6LXZB6Tn2Xz0hGEXvacNKGIy/CYz5bWVpSxWaRl5TNgVbAgL2ZM3ib6U1NTzYFai7PMvHk/EI7+\nvHGoc6qqkgO1QyjjMlFERWNDQWbeXCxokAmNnGxTI4/WE5OYgUKuJC45lyGhm54eI7rc5cQn56LS\n6hjs6wCFmsSMEmSKKBJSC9DEJmFHRrw+h4S0Wai1iZh6O4lOLiA6KQ+lJh6rTU5UTAJyWRRafQGp\nGTlO5xnuMm/bvpW6fj2JKXkQpSWeVubMnjthfr11oOZL2YpNbzLHSgp1PFZ1EkpFFBpdljN//tTx\n0794GkvSEhJT8lCoY5ApNaTlLhxVfu5la7HJUajjsQ0PkZyzkPjkmURFJzJsHiSj6FJUWh3d7WfI\nnX+lM52Gxgbq+vVoE9NRxeqRy0AVn4ENBWl5i7DJ1QwNW5lZeFFA6sETG//ja5Ss+QaJKXmotUls\ne/033PuDH4p+PxSOqILhsM8TjvqVyxXEJOcis5mJSshGnzYTk0VGa0szyugU4tOKiY5LJjoxA4VC\nSUziTOJlbU49Ees80pMjxk2bHqLkyjud9XPsoze4917/IylI+M+9935/VN0cfP8vk9aNGAd0gdLf\ncGybU4XUbiQkfMO9DbfW7qdDXjhmDjnRO4527z6G6makcra+htj0i9Cl5kOUlsbjpQzGLyQxJY+O\nljo0CZmotUmoYhKwDQ8Tm5xDcmYJpu42ZuQsoq32IFklV5GYkotKm0TTyQ/JzMz0KLPju0LnOeTa\nFDTapJE1mC4TmVI9qTPoYDj29Idp70wuLS2NtrY2598NBgOpqeILVq/PhJ5aDC2NKAcaiFMIGFoa\niVcIaMzn6DPUY2gsI04hcMnipc5n6anls5/5LBZjA30dZ2irPYCpswHlQAN6fQZGozDqz5JLltHT\ncABjWx3djfvB0o1gbObciVKQQWvlTtKyZ9N6ahd9hkZaT+0iISmV7sb9WM0CbbWHMBsbWHzx0lHp\npqRkEq8Q6Dp7jN72Gjoby9GpTcQpBPqMrfQ0HMA6bPOYH70+g5SUTJQDDePmM14hoBxocObZU94m\n+pOSkjmqzLx5PxB441CnIL8Q1cAZ+jvq6Tp7jCFjg9OBxcrLVxFtaUIwNnGuYgfDw4M0n9qN3Woi\nL1NPd+N+egwNNFXuwm4dBEsvPS0VDA8JNFXuZqCnlZ7mk3SePUF3SzXtdYfA0ot2uGXke43lDBnr\nYHgIU28TvWcPj3Ke4Y7DgWB3ez3dDQe4fMWqSfPrrQM1X8pWbHqTOVYaHuymtXIX1uGhUfnzJi13\nvnbH12iq2EF3ez0tp/Yw1FU/pvzcy7av6Qg9zRVERcdz9kQpfR1naa3ajWA8R3d7PU0VO1ArrKPS\ncbwvdLfQVLEDbFb6zh7G0nOG7vZ6es8eJkk1ELB68MTtX/4SZ0+U0t1ez9kTpdz2pS959X4oHFEF\nw2GfJxz1Yx0201q5i5iYaKezGtXAGdKT1Jh6mzDUH0IwNtFUsYNhyyDdjftH6YlY55GeHDHOmlUw\nqn5mzcr3KS8SgWfJkktG1c2SJYsnfUeMA7pA6W84ts2pQmo3EhK+4d6G1990i8c55ETvONq9+xg6\nPNBNxgw13Y37nend8dWNzvRlll6Guuvp6zxDX0cjw0N9GJsraa07SJQmhpZTO0meWXK+bTf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Pmhb4/Z/ROTVnFREco3PqDbAEqhjqJZn2FoaGBM2mp13Ki0xHx/PIaHbaKeizQK8guxd79HVbsB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\noGXf0VKWUlB2XAB3/Y3ioDAoC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jIZaKwjtO/TCEDi0dpmEmc40OvI3mKxGK8tfQor174P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\nQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x117704f98>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"pd.scatter_matrix(prostate, alpha=0.8, figsize=(12, 12), diagonal=\"kde\", grid=False);"
]
},
{
"cell_type": "code",
"execution_count": 86,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"aic = lambda rss, n, k: n*np.log(float(rss)/n) + 2*k"
]
},
{
"cell_type": "code",
"execution_count": 87,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"from sklearn import linear_model\n",
"\n",
"subsets = [['lcavol', 'lweight', 'age'],\n",
" ['lweight', 'age', 'lbph'],\n",
" ['lbph', 'svi', 'lcp'],\n",
" ['age', 'gleason', 'pgg45'],\n",
" ['lcavol', 'svi', 'pgg45']]\n",
"\n",
"y = prostate.lpsa"
]
},
{
"cell_type": "code",
"execution_count": 88,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"aic_values = []\n",
"for i,xvars in enumerate(subsets):\n",
" \n",
" X = prostate[xvars]\n",
" regmod = linear_model.LinearRegression()\n",
" regmod.fit(X, y)\n",
" rss = ((regmod.predict(X) - y) ** 2).sum()\n",
" aic_values.append(aic(rss, len(y), 3))"
]
},
{
"cell_type": "code",
"execution_count": 89,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[-56.17644706056128,\n",
" 12.576322548963725,\n",
" -19.645839021059246,\n",
" 12.788958805386617,\n",
" -52.180204316836701]"
]
},
"execution_count": 89,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"aic_values"
]
},
{
"cell_type": "code",
"execution_count": 90,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([ 0.88, 0. , 0. , 0. , 0.12])"
]
},
"execution_count": 90,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"v = np.exp(-0.5*np.array(aic_values))\n",
"aic_weights = v / v.sum()\n",
"aic_weights.round(2)"
]
},
{
"cell_type": "code",
"execution_count": 91,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"five_fold = cross_validation.KFold(len(y), n_folds=5)\n",
"ten_fold = cross_validation.KFold(len(y), n_folds=10)"
]
},
{
"cell_type": "code",
"execution_count": 92,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"five_fold_scores = []\n",
"for i,xvars in enumerate(subsets):\n",
" \n",
" X = prostate[xvars]\n",
" regmod = linear_model.LinearRegression()\n",
" \n",
" scores = cross_validation.cross_val_score(regmod, X, y, scoring='neg_mean_squared_error', cv=five_fold)\n",
" \n",
" five_fold_scores.append(scores.mean())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Note that scikit-learn's MSE is negative."
]
},
{
"cell_type": "code",
"execution_count": 93,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[-0.89487595018835608,\n",
" -1.8409138632046393,\n",
" -1.5503052538886308,\n",
" -1.8835060063515872,\n",
" -0.975753204680327]"
]
},
"execution_count": 93,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"five_fold_scores"
]
},
{
"cell_type": "code",
"execution_count": 94,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"ten_fold_scores = []\n",
"for i,xvars in enumerate(subsets):\n",
" \n",
" X = prostate[xvars]\n",
" regmod = linear_model.LinearRegression()\n",
" \n",
" scores = cross_validation.cross_val_score(regmod, X, y, scoring='neg_mean_squared_error', cv=ten_fold)\n",
" \n",
" ten_fold_scores.append(scores.mean())"
]
},
{
"cell_type": "code",
"execution_count": 95,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[-0.72880704148344222,\n",
" -1.4900220916717231,\n",
" -1.1737795318460531,\n",
" -1.4894535145600449,\n",
" -0.83099392906008041]"
]
},
"execution_count": 95,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ten_fold_scores"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The results for each are similar, and it can be shown that AIC is equivalent to a cross-validation outcome. AIC are more easily interpretable, since they can be turned into model probabilities."
]
},
{
"cell_type": "code",
"execution_count": 96,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([False, True, False, False, True, False, True, False, True,\n",
" True, False, False, False, False, True, False, False, True,\n",
" True, True, False, True, False, False, True, False, False,\n",
" False, False, True, False, True, True, True, False, True,\n",
" False, False, True, False, True, True, False, False, False,\n",
" False, True, False, True, False, True, False, True, False,\n",
" True, True, False, False, False, False, False, False, True,\n",
" True, False, False, False, False, True, False, True, True,\n",
" False, False, False, True, True, False, False, False, False,\n",
" False, False, False, False, False, False, True, False, True,\n",
" False, True, False, False, False, False, False], dtype=bool)"
]
},
"execution_count": 96,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"X.index.isin(np.random.choice(X.index, len(X)))^True"
]
},
{
"cell_type": "code",
"execution_count": 113,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# Part 2\n",
"B = 50\n",
"scores_632 = []\n",
"for i,xvars in enumerate(subsets):\n",
" \n",
" # Calculate bootstrap sample indices\n",
" X = prostate[xvars].values\n",
" y_ = y.values\n",
" bootstrap_ind = [np.random.choice(range(len(X)), len(X)) for _ in range(B)]\n",
" \n",
" # Fit models to bootstrap samples\n",
" regmod = linear_model.LinearRegression()\n",
" bootstrap_fits = [regmod.fit(X[i], y_[i]) for i in bootstrap_ind]\n",
"\n",
" # Calculate loss for each observation over models that did not use it to fit the model\n",
" loss = [np.mean([(regmod.predict(X[i].reshape(1,-1)) - y_[i])**2 for b in range(B) if i not in bootstrap_ind[b]]) \n",
" for i in range(len(X))]\n",
" # LOO error\n",
" err_1 = np.mean(loss)\n",
" \n",
" # Naive (training) error\n",
" err_bar = ((regmod.fit(X, y_).predict(X) - y_)**2).mean()\n",
" \n",
" scores_632.append(err_bar)"
]
},
{
"cell_type": "code",
"execution_count": 114,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[0.52676839796284325,\n",
" 1.0701481958523336,\n",
" 0.76767401697888016,\n",
" 1.0724966690506299,\n",
" 0.54892364856730946]"
]
},
"execution_count": 114,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"scores_632"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Note that the above uses MSE and not negative MSE, so the lower values are better here. The results are comparable among the models."
]
},
{
"cell_type": "code",
"execution_count": 115,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x12e9ad048>]"
]
},
"execution_count": 115,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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sO3fufV2fl0f2lPNJKh2/97nW0SJa51owSWa+c5nNVD+xENOWLQAYBg6i+OZb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dl6sKD/grHHlifIBWO3aajO2EqwFcDtvZl5uTnR0NJFeV075XXtxIW44+nmOMyVDg1PJ3fs1Lbk\nNhXQ2ttGm6aDRK8xt3zMcPzQbOtt56OiXWy+9F7/GVpHGwcWh83n2/EPEOoWbHbza+YWNkyB9Gxg\nzLFvKpUKH+fRpPlPwsPRnbLWCnp0PVzpbuaL6kyq2msIHOk/ZONGxvasqr2G/3f2n/TqNTjY2PNE\n0nfxHWE9W8cWVDSzeW/fBWPTxvlzz9RQsznWlDZUwdY6hl/EoLlvdiTZBQ10dGvZvDePZ7+diq2F\nbPM5N3gGRS0lnGu4SHpVBhFuoUzyS1Gklh5dLwfLjvJZ2WF6dH1jHzYqG6YHTGZR6FxG2ssZASEs\nmY3ahqn+E5ngM57D5ensLT1Et66b7Ppz5DRcYJr/JJYovOpJc08L/3v2Nbq03ahVar6TsJ6gkQGK\n1TPcNFo9b1wdQXB2tOV7yxNBp1O4KiFnbAVw+7+lO9jZ4OJkR3ZhA22dGhzsbYgKtIwrP1UqFWM8\nojlTd5YubTcXr+Qz1iv+piFyKM4G6fQ60qsy2XhuE+caL6Ez9L1JpniP47tj15Pqm4SDzeD/hjuc\nzPEsmtKkZwNjCX2zUdsQMSqMaQET0Rv0lLdVojPoKWur4PPKE+j0WoJHBgzaRVq327MubRcvZ2+k\nvqtvrdq1cfeR5J04KDWYi0/SizmdVw/A+kUxJMX6mPWxNtzk4jFhMtLG+hER0Dc/9fGxYhqauxSu\naPA42znzaMI6bFU2aPQa/nl+M91X14YdSgaDgbP15/lt5l/YmreN1t6+Pcaj3SP5yYTH2ZCwFi8n\nzyGvQwhhmlzsRnBv1D38cvLTpPokAdCr62VXyX5+dfyPHK34Ap1+eM4WavVaNp7bTGV7NQB3hy1g\nit+EYfnepqKivp2dx/vW6o0LcWfGONPbPc5ayRlbARh3ZkOlUhHm58rR7Cq0egP1zd1MGmM5M1Vu\nDq642LtwvvESHZpOGroaSRqd+G8XZw3W2aDLLSW8fuEd9pcdpUPTAUCAix/r4u7n7rAFjBrii0WG\nmyWcRRtu0rOBscS+Ods5Md47kbFeY2jsbqKhq5FefS8XGnM5XXsWV4eR+Dp7D/hi0m/qmcFgYPOl\n98hpuAjAVL+JrIi8y2wuXh0Mer2Bl7ed40prD3a2ap5cPQ7XEQ4Wd6wNNZmxFSYlyNuF+amB7M0s\nJ7uwgaz8epIsZJUEgDT/SRQ1F3OyNoszdTlEjApjVuC0Qf0eNR11fFy0m7MNF/pvc3cYxd3hC5jo\nm2x2F4UJIYZP0MgAfjj+US5dyeejwl2Ut1dR19XAa+ffIsQ1iBURS4hyH/xlpz6+vKd/y+54z1jW\nxKywqlALcOBMBZerWgFYPj0Mb3dnhSsSXyXBVgzYsrQwMi/V0dTWw9v784kLdcfR3jIOKZVKxZqY\nlZS3V1HTUcu2gk8JdQ0i1DX4jp+7paeVncWfcbz65Fd2G3JiYchsZgVOs5q1H4UQdy7OI5qY1EhO\n1Wbz6eW9NHY3Udpazl+zXiHBM5ZlEUvwd/EdlO91tOI4+0oPARA8MpAN8WvNchvyO9HQ0sW2I5cB\nCPZxYUFqkMIVia+TUQQBDOwjO1sbNV5uTpzMraOrR4dObyA+zGOIKx0+tmpbYtwjOFFzGq1ey6XG\nfCb6JWN/9eItY3vWre1mT8kBXr/wDiWtZRgwYKu2ZXZQGo8mrCPWI8oqfkhY4sfDQ016NjDW0jeV\nSkWAix9pAVMYYedMWVsFGr2Guq4GjlWeoLG7ieCRATjZfvPyjDfrWU79BTZdehcAT0cPfpT8XUbY\nWdeZSoPBwKsfX6SqsQO1SsWPVo3DfWRfT63lWBtMso6tkeTgMs5AX5R+ns6U1rRR29RFcXUryVGj\ncR1h3lftf5WLvQteju5k15+nW9dNVUcNE3zGo1KpbrtnWr2Wo5XH2XhuMxev5KEz6FGhYpJvCt9J\nWE+KzzhF9oRXivwAMJ70bGCsrW82KjVhbiGkBUwCVJS1VaIz6Khor+LzyuN0a3sIHhl4y0+FbtSz\n4pZS/pHzBjqDjhF2zvwo+Xt4OroP09/KdGRcrGV3RhkAiyYFMzXRr/9r1nasDQYJtkaSg8s4A31R\nqlQqIgPcOJJdhVZnoLy+nWmJw7u3+VDzd/Gjvbed0rYK6rsasVXbEjkq7LYusjhTl8PG85s5VZtF\nr14D9H10+GjCOqYHTsHZzmm4/zqKkx8AxpOeDYy19s1ObUesRxST/SbQre2mor0anUHP5ZYS0qsy\nUKvUBLkE3PAToq/3rK6znpezN9Kt68ZObcsPxj9iVWvVXtPW2cvfPsihV6vHe5QTjy1PuG4Nd2s9\n1u6EBFsjycFlnDt5UTo72qFSwaXSJq609uDp6kiIr3KLhg+FGI8oLjbm0dLbSkFTERFuYXiP8Lxp\nz/KbivjX+bc5XHGMTm3fcmhBIwN4aMwaloTNx9XBsvpjDPkBYDzp2cBYe98cbR0ZOzqeJO+xNPW0\nUNdZj0avJfdKAZm1WYywdcbfxfe6ExFf7VlLdxt/y3qV5p4WVKjYkPAgcR7RCv6NlLNpT17/BWPf\nX56Ar+f1O79Z+7E2ELKOrTBpCycG4+fZN2/13qFC2jp7Fa5ocNmpbXk04UGcbZ0wYOD1C+/Q3N3y\nb/eraq/h/87+i79lvUJpWznQN4/27TEP8JMJjxPrETXcpQshrJzfCB8eG/swTyb/f4RdvQD2SncT\nmy69y+9P/o2LjXkYDNeHsR5tD/939nUauhoBuC96GeNHJwx77abg/OVGjl/o29I8bawfcaGWcy2J\nJZIztgK489821WoVgaNHkH6uBo1WT3uXhqQoy1n+C/rWj/Qb4cOp2mx69b2UtJQzK3wyPT1aGjub\n+KDgY7bmbaPu6k48I+ycWRaxmHVjVhM0MsCixjPuhJzZMJ70bGCkb9fzcHRnil8qAS5+VLRX0aHp\npK23nZO1WRS1lOA3wgd3JzfsHWz4W8Zr5DcXATA/eBaLQucoXL0yunu1/OW9HLp6tLiOsOfxe8di\nb/fNIxzim8k6tsLkxQS7My3Bl/TzNRzLqSYt0Y/oIMvYbveaRK8xLAiZzb7SQxQ2F/Nm9gcYNCoO\nln2ORq8F+ubbZgelsSBkFk621jdDK4QwXSqVivHeiSR6jeGL6kx2Fn9GW287eU2F/OHUS6T6JuHs\n6MC5hksATPAZz9KIRQpXrZwdnxfT2Nq3++Ta+dG4OFnPhb7mSoKtGFT3zYkku7CBjm4tm/fm8ey3\nU68bsLcEd4ctoLillILmy+wpONx/uwoVU/wmcFf4AkY5WNZuYUIIy2KjtmF6wBRSfZI5WH6U/WVH\n6NH1crImq/8+UaPCeTButdVuFnO5qpXPTvWNlI2P9GJCjGV9CmmprPNoFUPG1dmeVbP6drupbOjg\ns5PlClc0+GzUNnw7fi2u9l9eAJboFcfPJz7J2rj7JNQKIcyGo60DS8Lm89yUnzIzcGp/iPV38eW7\niQ9hp7bO819anZ43dl/CYABHexseXBAt42RmwjqPWDGkpo/z59i5aooqW/kovZjUOG+83CzrI3k3\nh5E8OeF7nG7MJmZkFOGuYUqXJIQQAzbS3oXV0cuZFzqD8u5yYkfG4KD65g0dLNXujDIq6jsAuG92\nJB6u1tsLcyNnbMWgU6tUrFsQg1qlolejZ8v+AqVLGhL+Lr6sH38v0R6Dvx+7EEIowdvZi3kRaVa3\nq9hXVTd28El6MQBRgW7MHO+vcEXCGBJsxZAI9hnJvAmBAGQVNJBVUK9wRUIIIcSt6Q0G3tydi1Zn\nwNZGxcOLY1HLCIJZkWArhsyytDDcRzoA8M5n+fT06hSuSAghhLi5o9lV5Ff0rVF+z9RQ/L62EYMw\nfRJsxZBxcrDlW/P6NiRobO3h46sf7QghhBCmpqmth/cPFwIQMHoEiyeHKFyRGAgJtmJIJUePZmyE\nJwD7TpZTUd+ucEVCCCHE9QwGA2/ty6OrR4cKeHhxrMUtVWkt5F9NDCmVSsXa+dHY2arR6Q1s3puH\n3iC7sgghhDAdp/PqySro2zVy7oRAIvxl2UZzJcFWDLnRo5y4Z2ooAAUVLaSfq1a2ICGEEOKqjm4N\nb3+WD4CnqwMrZ4QrXJG4ExJsxbBYNCkYP8++5WPeP1REe5dG4YqEEEIIeP9QIS0dvQCsWxiLo70s\n8W/OJNiKYWFro2bdghgA2rs0vH+oUOGKhBBCWLtLpU0cPdv3KeLkeJ/+a0KE+ZJgK4ZNbIg7UxN8\nAfg8p5qCimaFKxJCCGGtejU63tyTC4CLkx1r5kYpXJEYDBJsxbBaPTuSEY59H/Ns2puHVqdXuCIh\nhBDW6KP0YuqaugB4YG4Urs72ClckBoMEWzGsXEfYc+/Mvi1oK+s72H+qQuGKhBBCWJvSmjb2ZpQD\nkBDuweR4H4UrEoNFgq0YdjPG+xPh7wrAjmOXaWzpVrgiIYQQ1kKn1/PG7lz0BgMOdjasXxiDSrbN\ntRgSbMWwU6tUrFsYg0oFvRo97+zPV7okIUyWVqfn0JkKXngjk4yLtRhkHWgh7shnJysorW0DYOWM\ncLzcnBSuSAwmWdNCKCLYZyTzJwSx72Q5WQUNZBc0MD7KS+myhDAZWp2eY+eq2flFCY2tPQAcP1dN\nVKAbD8yLItTXVeEKhTA/dU2d7Pj8MgBhfq7MTQlUuCIx2CTYCsUsSwvjZG4dTW09vP1ZPnEh7jjY\n2yhdlhCKulGgBbC3s6FXo6OgooXn3zjFtEQ/Vs4MZ5SLg4LVCmE+DAYDb+7Jo1erx0at4tuLY1Gr\nZQTB0sgoglCMk4MtD1xdXqWxtZuPvyhWuCIhlKPV6TmcXcnPXjnOpj15/aE2cLQLj68ayzvPL+a+\n2ZE42NtgAI6dq+Znr55g5/ESNFqdorULYQ7Sz9VwqbQJgMWTQwj0dlG4IjEU5IytUFRKzGgSwz05\nd7mRfZnlTI33JWC0vNkI66HV6TmWU83O49efoQ0c7cKytDCSor2wt7PBwc6Ge6aFMjXehw+PXiY9\np5qeXh0fHrnMkewqVs+OJCVmtFwEI8QNtHT08u7BAgB8PZy5Z2qIwhWJoSLBVihKpVKxdkE0v/hn\nBhqtns178/ivtcnyw1lYvNsJtOobvA7cXBzYsCSOucmBbNmfT35FCw0t3fx9x3mig0bxwNwoQnxH\nDuPfRAjTt2V/Ph3dWgAeXhyLna2MvVkqCbZCcd6jnLh7aijbj14mv6KF9HM1pI31U7osIYbEzQJt\nkLcLS6fdPNB+XYjvSP5rbTKn8up572Ahja3d5Jc38+s3TpI21o+VMyNwGyELzguRXdBA5qU6AGYl\nBRAdNErhisRQkmArTMKiicEcP19DzZVO3jtUyPgoL1yc7JQuS4hBo9FevSjseAlX7iDQfpVKpSI1\n1pvxkZ7szSxn5/FSejQ6Ps+p5mRuHXdPDWX+hCDsbOVyCmGdunq0bN6XB8AoF3tWXd0gSFguCbbC\nJNjZqlm3MIb/2ZJFe5eGDw4X8vDiOKXLEuKO3SrQLksLY3yU8YH26+xsbbh7aihpY/348EgR6edq\n6O7V8cHhIo5kV7J6diTJ0TJ/K6zPh0eKaGrre92tWxCDs6PEHksn/8LCZMSFuDMl3ofjF2o5eraa\ntER/IgPdlC5LiAEZjkD7daNcHHjkrjHMSQ5ky4ECCitaqG/u5n+3nyc2eBRr5kYR7CPzt8I6FFQ0\nc+hMJQATYkaTFD1a4YrEcBiyYPuPf/yDw4cPk5ubi729PZmZmbf1uKKiIv70pz9x8uRJdDodkZGR\nvPzyy/j6+g5VqcKErJ4TxdnCRjp7tGzam8svH07F1kY+RhXm42aBNtjbhaVDFGi/LszPlZ+tTeZk\nbh3vHyqksbWH3LJmnnv9JNPH+bNyRjiuMn8rLJhG27dtrgFwdrBl7fxopUsSw2TIgq1Wq2Xx4sUk\nJSXx4Ycf3tZjysrK+Na3vsXq1av50Y9+xIgRIygsLMTeXt6ArYXbCHvunRXB5r15VNR3sP9UBYsm\nBStdlhDfSKPVcyynik+Pl/Z/9AlfBtqkKK9hHQVQqVRMjPNhfKQXezPL2HmilMREHlQAACAASURB\nVF6NnqNnqziZW8s9U8OYmxIo87fCIu08XkJ1YycA98+JxE02MrEaQxZsf/jDHwKwffv2237MX//6\nV2bNmsV//ud/9t8WFBQ06LUJ0zZzvD/p56q5XNXKR8eKmRjnjYero9JlCXFDtwq010YOlJxttbez\n4Z5pYaSN9efDI0V8cb6Grh4d7x0q5HBWJffPiVS8RiEGU0V9OzuPlwJ9I26yyo51MZlf1Q0GA4cP\nHyYkJIRHHnmEqVOnsnr1avbv3690aWKYqVUq1i2IQaWCHo2Od/YXKF2SEP9Go9Vz6EwFP33lOJv3\n5feH2mBvFx5fmciz304lyYQu2HIf6cCjd4/hmfUTiAhwBaCuuYuXt53jT1uzqahrV7hCIe6cXm/g\njd256PQG7GzVrF8UYzKvQTE8TObiscbGRjo7O9m4cSNPPvkkTz/9NEePHuXxxx9n8+bNTJgwwajn\ns5G5TKNc65ep9C0i0I0FqUHszSznTH4954obSYoyrcF/U+uZuTD3vmm0fR/nf3KsmCtfPUPr48KK\nGeFDsvrAYPYsOngUv3w4lRMXann3QAFX2nq4VNrEs69nMjspgJUzIyxm/tbcjzUlmHvP9p0s43JV\nKwArZ4QP206W5t43JQxVr4wKti+++CIbN2686ddVKhW7du0iLCzM6EL0ej0A8+bNY/369QDExsaS\nlZXFli1bjA62rq5ORtcgTKtvG5YlcjK3niut3bz9WQFTxwfiaG8yv4v1M6WemRNz65tGq2NfRhkf\nHMinoaW7//ZwfzceWBjDpHjfIT8zNJg9WzLdhTmTQth+uIgPDhbQq9Fx8EwlGRdrWbMghrumhVvM\n/K25HWumwBx7VtfUyQeHigAID3DjgUVxwx40zbFvlsaolLBhwwZWrlx5y/sMdCbW3d0dW1tbIiKu\nXzw5IiKCM2fOGP18ra1d6HT6AdVijWxs1Li6Oplc3741L4r/t+0cdVc62fTJBe6bE6l0Sf1MtWem\nztz6ptHqOZJdyafpJdedoQ3xHcmKGeH9F4U1N3cOWQ1D2bNFqYFMjPHivYOFfHG+ho5uLa99fIFP\njxXzrXlRZj1/a27Hmikw154ZDAZeejeb7l4dapWKhxfF0NraNWzf31z7pqRrPRtsRgVbd3d33N3d\nB70IADs7OxISEiguLr7u9pKSEvz9/Y1+Pp1Oj1YrB5exTK1vSVFeJIR7cP7yFXadKGXiGB8CvEYo\nXdZ1TK1n5sLU+6bR6vk8p4qdX78ozOfqRWGRfYFPpzMAhmGpaah65upsz6N3j2F2UgBbDhRwuaqV\n2iud/OW9s8SHunP/3CgCh+kj3aFg6seaKTK3np24WMPZwkYAFkwMInC0iyL1m1vfLNGQnaOvrq4m\nNzeXyspKdDodubm55Obm0tn55VmNRYsWXXdx2KOPPsquXbt4//33KSsr46233uLw4cOsXbt2qMoU\nJk6lUvHg/GjsbNXo9AY2783DYBieECGsk0ar5+DVi8Le+upFYT4uPH5vIs8+nEpSlOlcFDaYIgLc\n+Pm6FL5zzxjcR/Ytj3ShpIln/5XJ5n15tHX2KlyhEP+urbOXdz7ru8h49ChHlqUZPw4pLMeQDSy+\n9NJL7Nixo//PK1asAGDTpk2kpqYCUFpaSnv7l1fizps3j+eee45XXnmF3/72t4SFhfHyyy+TlJQ0\nVGUKM+Dt7szdU0LY/nkx+eXNfHG+hmmJsnyLGFwarY6jZ6vZdeL6M7QhPiNZlhbGuEhPiwyzX6dW\nqZgS70ty1Gh2Z5SyO6Ps6goQlWRcqGVpWhhzkgNk4xRhMt49WEh7lwaAhxbF4mBno3BFQkkqg4We\n/mpq6pCPA4xga6vG3X2EyfZNo9Xz7L8yqbnSiYuTHS98dzIuTnaK1mTqPTNVptY3cwi0SvassaWb\nD44UkXGxtv82Xw9n7p8TydgI5XtzK6Z2rJkDc+vZ+eJG/vzuWQDSEv3YcFecInWYW99MwbWeDfrz\nDvozCjEE7GzVrFsQzf9szaa9S8MHh4t4eHGs0mUJM2YOgdYUeLo58r2l8cxNDmTLgXyKq9uoudLJ\n3z7IISHMg/vnRpnc3LuwDj29OjbtyQPAdYQ9q03o4mKhHAm2wmzEhXowOd6HExdqOXq2irSxfkQG\nuCldljAz1wLtzuMlNLd/OTMqgfbWIgPd+O/1Ezh+voYPjhTR0t7L+eIrXHytb/3bZdPDFP8URViX\n7Z9f7l96b+38aDn+BCDBVpiZ++dEcbawka4eLZv25PHstydgo5ZZP/HNbhpofa8GWhP/WN0UqFUq\npiX6kRIzml0nytib2Td/e+BMBScu1rA0LYzZSTJ/K4be5apWPjtVDsD4SC8mxJjWBj5CORJshVlx\nG2HPqpnhbN6XT0V9O/tPVbBwYrDSZQkTJoF28Dna27JyRjgzxvnxweEiMi/V0dGtZcv+Ag5nVXL/\nnCjGRngqXaawUFqdnjd2X8JgAEd7Gx5cEC2vYdFPgq0wOzPHB3DsXDXF1W3s+LyY1FhvPFwdlS5L\nmBgJtEPPy82Jx5YlMDelmXf2F1Ba00Z1Yyd/ff8sieGe3D8nEn+ZvxWDbE9GGRX1HQDcNytC3v/F\ndSTYCrOjVqtYvzCWX795kh6Nji37C/jBykSlyxImQqPVcSS7il0nSiXQDpOowFH84qHr52/PXW7k\nQvEV5iQHsDRN5m/F4Khu7ODj9BKgb+57ZlKAsgUJkyPBVpilEN+RzE0OZP/pCk7n13O2sIFxkV5K\nlyUUdLNAG3o10Jr60lTm7qvztzuPl7I3sxytTs/+0xUcv1DD8unhzEryl5l4MWB6g4E39+Sh1emx\ntVHx8KJY1PKaFl8jwVaYrRUzwjmZV0dLey9vf5ZPbIi7LMxthSTQmhZHe1vunRnBzHH+vHe4iFO5\nffO3b3+Wz6GsStbMiSQhXOZvhfGOnq0iv7wZgLunhsqYi7ghCbbCbDk52PLA3Cj+8dEFGlq6+fSL\nEu6dGaF0WWKYXAu0O0+U0iKB1uR4jXLi+8sTyCtrYsuBAspq26lq6ODP751lbETf/K2fpwQTcXua\n2np4/1AhAAFeI1gyOUThioSpkmArzFpqrDfHcqo5X3yFPRllTIn3ld/iLVyvRseRs31naCXQmr6Y\nYHd++VAq6eeq+fDoZVo7eskpujZ/G8jStFBGOMr8rbi1tz/Lp6tHhwp4eHGsLCknbkqCrTBrKpWK\ntQui+cU/M9Hq9Ly1L4+nH0iSYGOBbhZow/z6Am1iuARaU6VWq5g+zp8Jsd7sPF7KvpNlaHUGPjtV\nfnX+NoyZ42X+VtzY6bw6zuTXAzA3JZAI2ZhH3IIEW2H2fNyduXtKCDuOFZNb1szxCzVMTfBTuiwx\nSCTQWg4nB1tWzYpgxnh/3j9UyOm8etq7NLy17+r87dwo4kM9lC5TmJDO7r7jA8DT1YEVM8IVrkiY\nOgm2wiIsnhzC8Yu11F7p5N2DhYyN8JLlhcycBFrL5T3KiR+sSCS3tG/+tryuncr6Dl7cms34SC/u\nnxOJj4ez0mUKE/DeoSJaOvpe/+sWxuLkILFF3JocIcIi2NmqWbcgmj9tzaatU8O2I0WsXxSrdFli\nAHo1X65ycO0HGkCYn+vVQOshgdZCxIa48+zDqRw7V822I0W0dmrILmzg3OVG5qYEsnRaKM4yf2u1\nckubOHq2CoDJY3xkNztxWyTYCosxJtSDyWN8OHGxlsPZVUxL9JNZLDMigdY6qdUqZozzJzXWm0+/\nKOGzU+VodQb2nSzni/M1V7fu9Uetln97a9Kr0fHGnlwAXJzsWDMvSuGKhLmQYCssyv1zIjlb1EhX\nj5ZNe/P45cMT5IIUEyeBVkDf/O19syOZOd6f9w4VcSa/b/520948Dp6p4IG5UcTJ/K3V+Di9hLqm\nLgAemBuFq7O9whUJcyHBVlgUNxcH7p0Zzlv78imva+fAqQoWTAxWuixxA70aHftPVbBbAq34Cm93\nZ364MpFLJVfYcqCQivp2Kuo7+J+t2SRFebF6TiQ+7jJ/a8nKatvYk1EGQEKYB5PjfRSuSJgTCbbC\n4swaH8CxnGpKatrYfqyYCbHeeLg6Kl2WuKpXo+Ojo0W8fyD/uovCwv37Am1CmARaAXGhHvzq26kc\nzali+9HLtHVqyCpoIKeokfmpQdw9JRRnR/kRZml0ej2v785FbzBgb6dm/cIYeT8QRpF3BWFx1GoV\n6xfF8Pybp+jp1bH1QAHfX5GodFlWr1ej43B2FbszSiXQituiVquYNT6AibE+fPJFMftPVaDTG9iT\nUcYX56pZMSOc6WNl/taSfHaygtKaNgBWzojAa5STwhUJcyPBVlikUF9X5iQHcuB0Bafy6skpapQr\nahXSH2i/NnIQEeDK0mkSaMU3c3a05f45UcwaH8C7BwvJLmygtVPDm3vyOHimkgfmRhEb4q50meIO\n1TV3sePzy0Dfsn7zUgIVrkiYIwm2wmKtmB7Oqdw6Wjp6eWtfHr95dBL2djZKl2U1ejQ6jmRVsiuj\njNavBdp1S8YQ5j0Cnc6gYIXC3Ph4OPPEqrFcKLnC1gMFVNZ3UF7Xzh+3ZJESPZr75kTiLWf4zJLB\nYGDTnlx6tXps1CoeXhwnZ+LFgEiwFRbL2dGWB+ZF8Y+PLtDQ0s2nx0tYOSNC6bIs3s0Cbbi/K8vT\nwhgX5YWHhwtNTR2ABFthvPhr87fZVWz/vJj2Lg2n8+s5W9TQP38rC/mbly/O13CxpAmAxZODCfJ2\nUbgiYa7klS8sWmqsN5+freJCSRO7T5QxJd4XP88RSpdlkb4p0MZfHTmQsQMxGGzUamYnBzJpjA8f\np5dw4HQFWp2B3SfKSD/Xt/7trKQApcsUt6Glo5etBwqAvrPy90wNVbYgYdYk2AqLplKpeHBBDL94\nLROtTs/mvXk8/UCShKtBdNORg6sXhcXLDK0YQs6OdqyZG8WspADePVDA2aJGWjt6eWN3LoeyKnls\n5VgCPGQ8wZRt2Z9PR7cWgIcXxWBnKyNjYuAk2AqL5+PhzF1TQvjoWDG5Zc2cuFDLlARfpcsyez0a\nHYezKtktgVaYAF8PZ3503zjOFzey9UAhVQ0dlNa08bO/p5Ma582qmRGMlvlbk5Nd2EDmpToAZo33\nJyZYLgIUd0aCrbAKSyYHc+JCDbVNXWw9WMDYSE9GyB70A9IfaE+U0tqp6b89wt+VZdPDiA+VQCuU\nkxDmyXMb3DmcVcWOY8V0dGk4eamOrPwGFk4MYsnkEJm/NRFdPVo2780DYJSLPatmRSpckbAE8uoW\nVsHO1oYHF8bw4tZs2jo1fHjkMusXxihdllmRQCvMhY1azdyUQKaN9WNPZjk704vR6vTsPF7KsZxq\n7p0ZwdREX9RyvCrqwyNFNLX1ALBuQYxsuCEGhRxFwmrEh3owaYwPGRdrOZJVybREXyL83ZQuy+Td\nNNAGXB05kEArTJSLkx3fWZ7I1Hgf3vksn5yiRlo6evnXrkscOFPBA3OjiA4apXSZVqmgoplDZyoB\nmBAzmqTo0QpXJCyFBFthVdbMiSSnqIGuHh2b9+Txi4cnYKNWK12WSerp1XEoq5I9Gf8eaJenhTMm\n1F0CrTAL/l4j+PF94zh3uZGtBwqobuyktKaN3799htRYb+6bHYGXm8zfDheNVs8bu3MxAM4Otqyd\nH610ScKCSLAVVsXNxYGVMyJ4+7N8yuraOXi6kvmpQUqXZVIk0ApLlRjuSVyIO4ezKvnoWDEd3VpO\n5taRXdjAwonBLJkcjKO9/FgcajuPl1Dd2AnA6jmRuLk4KFuQsCjyChZWZ3ZSAMfOVVNa08a2zy8z\nIdYb95HyxnqzQBsZ4MaytDAJtMIi2NqomTchiMnxvnx0rJhDZyrRaPV8+kUJx3KquHdmBFMSZP52\nqFTWt7PzeCkAscGjmD7WT+GKhKWRYCusjlqtYv3CGH7z5il6enVsOVDA95cnKF2WYq4F2t0ZpbRJ\noBVWwsXJjrXzo/vXvz1ffIXm9l5e23mJg2cqeGBuNJGBMoM/mPR6A2/szkWnN2Bnq+ahRbHy3iIG\nnQRbYZXC/FyZkxzIgTMVnMqt49zlRhLDPZUua1jdMtBOD2NMiARaYfkCvEbw5Opr87eF1FzppLi6\njRfeOs2kMT6smhmBp5uj0mVahENZlRRVtQKwLC0MHw9nhSsSlkiCrbBaK2aEcyqvjpaOXt7al8fz\nj0zC3s7yd7yRQCvE9VQqFWMjvBgT6sGhM33zt509WjIu1pKVX8+iScEsnhSCg73lvz8MlcaWbj44\nUgRAsLcLC+TaBjFEJNgKq+XsaMuauVG88vEF6pu7+fR4KStnhCtd1pC5aaANvDpyIIFWWDlbGzXz\nU4OYHO/DjmPFHM6qpFer5+P0Ej7PqWbVzAgmxfvI/K2RDAYDm/fl0dOrQ6WCh5fEYmsjq9GIoSHB\nVli1iXHefJ5TxcWSJnafKGVKvA9+niOULmtQ9fTqOJhVwZ6MMgm0QtyGkc72rFsQw+yr87cXSppo\nauth46cX+9e/jQiQ+dvblXmpjpyiRgAWpgYT6uuqcEXCkkmwFVZNpVKxbkEMv3gtE61Oz1v78nlq\nzXiLCHq3CrTL08KIk0ArxC0FjnbhP+4fz9nCRt49WEBtUxeXq1r57ebTTI7vm7/1cJX521tp79Lw\nzv58AEaPcmTZ9DCFKxKWToKtsHo+Hs4smRzMx+klXCpt4sTFWqbE+ypd1oBJoBVi8KhUKsZHeZEQ\n7sGB0xV8nF5CV4+WExdqOZNXz+LJISyaFIyDFcznD8S7Bwr634fWL4qVPokhJ8FWCOCuKSGcuFhL\nXVMX7x4oYGyEJyMc7ZQuyyjXAu3uE2W0d30ZaKOujhxIoBVi4Gxt1CycGMyUBF92fF7Mkey++duP\njhVz9GwV982KYNIYH3mNfcX54kbSz9cAkJboR3yoh8IVCWsgwVYIwM7WhgcXRPPnd8/S2qlh25HL\nrFsYo3RZt6W7V8uhM5XszpBAK8RQc3W2Z/3CvvnbrQcKuFTaN3/76icXOXC6ggfmRRPuLzOkPb06\nNu3JA8DV2Y7VcyIVrkhYCwm2QlyVEObJxDhvMi/VcTirkmmJfib9A+pWgXZ5WhixEmiFGDJB3i48\ntWY82QUNvHuwkLrmLoqqWvnNplNMifdl1awIq97RcPvnl2lo6QbgW/OjcXEyr0/AhPmSYCvEV9w/\nJ4pzlxvp6tGxaW8uv3hoAjZq01qWRgKtEKZBpVKRFD2ahHBPDpyu4JMviunq0XH8Qg2n8+tYMjmE\nRRODrWJ97K8qrm7ls1PlAIyP9CI11lvhioQ1GbJg+49//IPDhw+Tm5uLvb09mZmZ3/iYzs5O/vSn\nP3HgwAGam5sJDAxk3bp1rFmzZqjKFOI67iMdWDE9nHf2F1BW287BM5XMn2AaC4nfLNBGXx05kEAr\nhDLsbNUsmhTM1ARftn9+maPZVfRq9Oz4/Nr8bSQT47yt4vWp1el5fVcuBgM42veNeFnD31uYjiEL\ntlqtlsWLF5OUlMSHH354W4/53e9+R2ZmJi+++CL+/v4cO3aM5557Dh8fH2bPnj1UpQpxnTnJgaSf\nr6G0po3tRy8zIcZb0Y8Uu3u1HDxTyZ4bBdrp4cQGj5IfHEKYANcR9jy0KLZ//ja3rJkrrT288vGF\nq/O3UYT5me5402DYm1lGRX07AKtmyXJoYvgN2WesP/zhD3nooYeIjo6+7cdkZ2ezfPlyJkyYgL+/\nP6tXryYmJoacnJyhKlOIf6NWq1i/MAYV0N2rY+uBAkXq6O7VsutEKT/5v+N8cLioP9RGB7rx9ANJ\n/NfaZLkwTAgTFOwzkqcfSOIHKxIZPaov2BVWtvD8m6d47dOLNLX1KFzh0Ki50slHx0qAvi26ZyUF\nKFuQsEomNWOblJTEwYMHWblyJT4+Ppw4cYLS0lLS0tKULk1YmTA/V2YnB3DwTCUnc+uYfrmRhHDP\nYfneNz1DGzSqb+RAztAKYfJUKhUpMaMZG+HJ/lPlfPJFCd29OtLP13Aqr54lU0JYmBpkMfO3eoOB\nN3fnotXpsbVR8dDiWNl6WCjCpILtM888wy9/+UtmzpyJra0tarWa559/npSUFKOfy0b2oTbKtX5J\n375035xITufV09LRy1uf5fPCdydf90NosHvW1aNl/6kKdp8ovS7QxgSPYsWMcIs5OyvHmvGkZwNj\nCn2ztVVzT1oY08f78+HhIo5mV9Gj0bH96GU+P1vF/XOjTGr+dqA9O3SmkrzyZgCWTgsjxHfkoNdm\nykzhWDM3Q9Uro4Ltiy++yMaNG2/6dZVKxa5duwgLG9iWeZs3b+bs2bO88sor+Pn5cfLkSZ577jm8\nvb2ZMmWKUc/l6uo0oBqsnfTtS+7Ao8sTefHt09Q1dbH/TBVrF8X+2/3utGed3Rp2phez/XARbZ29\n/bfHh3uydmEsiZFed/T8pkqONeNJzwbGFPrm7j6Cp9Z5sGJ2Mxs/Os+Fy400tHTzv9vOcTjck0eX\nJRAZOErpMvsZ07PGli7eO9g3shXsO5IH74rHztY6A54pHGvWTmUwGAy3e+empiaam5tveZ+goCBs\nbb/My9u3b++/KOxWenp6SElJ4e9//zszZszov/2ZZ56htrb2loH6Rlpbu9Dp9EY9xprZ2KhxdXWS\nvn2NwWDgD29ncbHkCrY2Kn773cn4eY4A7rxntzpDu3JGOHEWukuPHGvGk54NjKn2zWAwcCq3ji37\nC/rXelUBaeP8uG92JKNclLtYdSA9e+mDs5zKrUcFPPPwBKJMKKAPF1M91kzZtZ4NNqPO2Lq7u+Pu\n7j7oRQBoNBq0Wu2/fRyjVqvR640/SHQ6PVqtHFzGkr79uwcXRPPL1zLQ6gy8sSuXp9aMv+44NbZn\nXT1aDp6pYG9m+fWB9toMbUjfa8zS/x3kWDOe9GxgTLFvSVGjSQjzYN/Jcj49XkpPr47Pz1aTeamO\nu6eEsCA1CDtb5eZvb7dnp/PqOJVbD8CclEDCfF1NrtfDyRSPNWszZDO21dXVtLS0UFlZiU6nIzc3\nF4Dg4GCcnZ0BWLRoEU899RTz5s3DxcWF1NRU/vjHP+Lg4IC/vz+ZmZl89NFH/PznPx+qMoX4Rr4e\nziyZHMLH6SVcKm0i42Itk+N9jX6ea4F2T0YZHd3a/tu/HmiFENbBztaGu6aEMi3Rj21HLpN+rpqe\nXh0fHrnMkewqVs+OJCVmtMnM335dZ7eGtz7LB8DT1YGVM8IVrkiIIQy2L730Ejt27Oj/84oVKwDY\ntGkTqampAJSWltLe3t5/n7/+9a+8+OKLPP3007S0tODv789//Md/cP/99w9VmULclrumhHDiQi11\nzV1sPVjI2AhPXG/z48KbBdrY4FEsnSaBVghrN8rFgQ13xTEnJYAt+wsoqGihoaWbv+84T0zQKNbM\njTLJi7HeO1RES3vfdQHrFsbi5GBS16MLK2XUjK05aWrqkI8DjGBrq8bdfYT07RbOX27kz++dBWB2\ncgDfXhJ3y55JoL0xOdaMJz0bGHPsm8Fg4GRuHe8fKqKx9cv52+nj/FgxIwK3EfZD+v1vt2e5pU38\ncUsWAJPH+PDdpfFDWpepM8djTWnXejbozzvozyiEhUoI9yQ11puTuXUcPlPJzPH+pNzgRSmBVggx\nUCqViolxPoyP9GLvyXJ2HS+lR6Pj6NX523umhjJvQpCiqw70anS8uadvvNDFyY4186IUq0WIr5Ng\nK4QR1syN4tzlRrp7dbyxK5fxcX79X+vq0XLgdAV7MyXQCiHujL2dDfdMDSUt0Y9tR4pIP19Dd6+O\n9w8XcTi7ktWzo0iO9lJk/vaTL0qobeoCYM3cSFydh/YsshDGkGArhBHcRzqwYkY4W/YXUFLTxq70\nYlKiPNmbUXbDQLssLYyYYAm0QoiBcR/pwCN3j2FOSiBbDhRQWNFCfXM3/7v9HLHBffO3wT7DN39b\nVtvG7hNlAMSHeTBlABfSCjGUZMZWADIfZAydXs/zb56irLYdJwcb1Go1HV9ZtksC7a3JsWY86dnA\nWFrfvpy/LaSxtQcAlQpmjPNnxfRwXAdh/vZWPdPp9fx202lKatqwt1Pz/COTGD1KNiQAyzvWhoPM\n2AphImzUatYvjOW3m07R1aMDdIAEWiHE0Prq/O2ezDJ2nSilV6PnSHYVmZdquWdqGPMmBGI7RFuV\n7j9VQUlNGwArp4dLqBUmSYKtEAMQ7u/K0rQwPjpWTFyIO0unhUqgFUIMC3s7G5ZOC2P6WH8+OFzE\n8Qs1dPXoeO9QIYezK7l/diTjowZ3/rauuYvtRy8DEOY3knkTggbtuYUYTBJshRige2dF8NA98bS3\ndctHT0KIYec+0oHv3DOGuSmBbDmQT1FlK3VNXby87RxxIe48MDeKQG+XO/4+BoOBzXty6dXqsVGr\neGhRLGq1aW4aIYRy64UIYQGU3PJSCCGg7xOknz+YwnfvGYP7yL6NYy6VNvHs65ls2ptHa2fvHT3/\nF+druFDSBMCiScHDerGaEMaSM7ZCCCGEmVOpVEyO9yUpejR7MsrYfaKUXq2ew1mVZFysZem0UOam\nGD9/29rRy9YDBQD4eDizdFroEFQvxOCRM7ZCCCGEhXCws2FZWhgvfHcyk+N9gL41tt89WMgvXssk\nu7ABYxZDemd/fv8yhg8vipFPqYTJk2ArhBBCWBgPV0e+e088/70uhTA/VwBqr3Ty0gc5/PndbCrr\n27/xObILG8i8VAfArPH+coGsMAsSbIUQQggLFRHgxn+vT+E7d385f3uhpIln/3WSzfvyaLvJ/G1X\nj5bNe/MAcHOxZ9WsyGGrWYg7ITO2QgghhAVTq1RMSfAlOXo0uzNK2Z1Rhkar59CZSjIu1LIsLYzZ\nyQHXzd++f6iQpra+TSDWLYjB2VHigjAPcsZWCCGEsAIO9jYsnx7OC9+ZzKQxffO3nT1athwo4Jev\nZZJT1ADApeIrHDhVAUBKzGiSo0crVrMQxpJfwYQQQggr4unmyPeWxjM39PiRcAAADOlJREFUOZB3\n9udTUtNGzZVO/vp+DmMjPLnS1oMBcHKwZe38aKXLFcIocsZWCCGEsEKRgW4889AEHrkrDjcXewBy\nihqpqOu7sOz+OZGMcnFQskQhjCZnbIUQQggrpVapmJboR0rMaHadKGVvRjkanZ64EHemj/VTujwh\njCbBVgghhLByjva2rJwRwZzkQMobu4gLckWlkm1zhfmRYCuEEEIIALxGOREV5kVTUwdarV7pcoQw\nmszYCiGEEEIIiyDBVgghhBBCWAQJtkIIIYQQwiJIsBVCCCGEEBZBgq0QQgghhLAIEmyFEEIIIYRF\nkGArhBBCCCEsggRbIYQQQghhESTYCiGEEEIIiyDBVgghhBBCWAQJtkIIIYQQwiJIsBVCCCGEEBZB\ngq0QQgghhLAIEmyFEEIIIYRFkGArhBBCCCEsggRbIYQQQghhESTYCiGEEEIIiyDBVgghhBBCWAQJ\ntkIIIYQQwiJIsBVCCCGEEBZBgq0QQgghhLAIEmyFEEIIIYRFkGArhBBCCCEswpAF28rKSv77v/+b\nuXPnMm7cOBYsWMDLL7+MRqO55eN6e3t57rnnmDRpEklJSTzxxBM0NjYOVZlCCCGEEMJCDFmwvXz5\nMgaDgd/85jfs3LmTn/3sZ2zdupW//OUvt3zcb3/7W44cOcLLL7/M22+/TV1dHY8//vhQlSmEEEII\nISyE7VA98fTp05k+fXr/nwMDA9mwYQNbt27lJz/5yQ0f097ezocffshf/vIXJk6cCMALL7zAkiVL\nyMnJYezYsUNVrhBCCCGEMHPDOmPb2tqKm5vbTb9+/vx5dDodU6ZM6b8tPDwcf39/srKyhqNEIYQQ\nQghhpobsjO3XlZaW8vbbb/PTn/70pvdpaGjAzs4OFxeX62739PSkoaHBqO9nYyPXxRnjWr+kb7dP\nejYw0jfjSc8GRvpmPOnZwEjfjDdUvTI62L744ots3Ljxpl9XqVTs2rWLsLCw/ttqa2v5zne+w5Il\nS1i1apXRRRoMBlQqlVGPcXV1Mvr7COnbQEjPBkb6Zjzp2cBI34wnPRsY6ZvyjA62GzZsYOXKlbe8\nT1BQUP//19bWsn79elJSUvj1r399y8d5eXmh0Whob2+/7qztlStX8PT0NLZUIYQQQghhRYwOtu7u\n7ri7u9/Wfa+F2sTERF544YVvvH9CQgI2NjYcP36c+fPnA1BcXExVVRVJSUnGliqEEEIIIazIkA2D\n1NXVsW7dOvz9/Xn66adpbGykoaHhulnZ2tpaFi9ezLlz5wBwcXFh1apV/O53vyMjI4Pz58/zs5/9\njOTkZFkRQQghhBBC3NKQXTyWnp5OeXk55eXlzJo1C/hyVvbSpUsAaLVaSkpK6O7u7n/cz3/+c2xs\nbHjiiSfo7e1l+vTpPPvss0NVphBCCCGEsBAqg8FgULoIIYQQQggh7pSsSyGEEEIIISyCBFshhBBC\nCGERJNgKIYQQQgiLIMFWCCGEEEJYBAm2QgghhBDCIkiwFUIIIYQQFsEsg+3bb7/NnDlzGDt2LKtX\nryYnJ+eW99+9ezeLFy9m7NixLF26lCNHjgxTpabFmL5t376d2NhY4uLiiI2NJTY2lnHjxg1jtco7\ndeoUjz32GNOnTyc2NpYDBw5842MyMjJYuXIliYmJLFy4kO3btw9DpabF2L5lZmb2H2PX/ouLi6Ox\nsXGYKlbeK6+8wqpVq0hOTmbq1Kn84Ac/oLi4+BsfZ83vbQPpmbyvwZYtW1i6dCkpKSmkpKSwZs0a\njh49esvHWPNxBsb3TI6zf/fKK68QGxvL7373u1vebzCONbMLtrt27eL3v/89TzzxRP/B8+ijj3Ll\nypUb3j8rK4unnnqK1atXs2PHDubNm8cPfvADCgsLh7lyZRnbN4CRI0eSnp7e/9+hQ4eGsWLldXZ2\nEhcXx7PPPotKpfrG+1dUVPDYY48xefJkPvroI9avX88zzzxDenr6MFRrOoztG4BKpWLfvn39x9qx\nY8fw9PQc4kpNx6lTp3jwwQd5//33ef3119FqtTzyyCPXbV7zddb+3jaQnoG8r/n5+fHUU0+xbds2\ntm3bxqRJk/j+979PUVHRDe9v7ccZGN8zkOPsq3JycnjvvfeIjY295f0G7VgzmJn77rvP8Pzzz/f/\nWa/XG6ZPn2549dVXb3j/H//4x4bvfe971922evVqw7PPPjuUZZocY/u2bds2Q2pq6nCVZ/JiYmIM\n+/fvv+V9/vjHPxruvvvu62578sknDY8++uhQlmbSbqdvGRkZhtjYWENbW9swVWX6GhsbDTExMYaT\nJ0/e9D7y3na92+mZvK/d2MSJEw0ffPDBDb8mx9mN3apncpx9qb293bBgwQLDF198YXjwwQcNL7zw\nwk3vO1jHmlmdsdVoNFy4cIEpU6b036ZSqZg6dSrZ2dk3fEx2djZTp0697ra0tLSb3t8SDaRv0Hfm\nbc6cOcyaNYvvf//7VvUb+kCcPXvW6o+1gTIYDCxbtoy0tDQ2bNjAmTNnlC5JUW1tbahUKkaNGnXT\n+8h72/Vup2cg72tfpdfr2blzJ11dXYwfP/6G95Hj7Hq30zOQ4+yaX//618yZM+e6/HEzg3Ws2Rp1\nb4X9/+3b30tTfxzH8ee+20Ixi7RlhitWwRiumEQ33XfjhQhd1E3+CV26K2OOnHohM6kwsFimpEXQ\nUkOCboLwpisV+n0REQ53VDDZxYbuezG+66tOv86vujx7PcAL5/vI57x58z7vnfM5CwsLLC8vc/To\n0VWfV1ZWbri3Kh6P54w3DGPX1vmn2U7eXC4XbW1tuN1ulpaW6Ovr49q1a4yNjVFVVbUXy9534vH4\nusfnlZWVLC0tkUwmOXDgQIFW9mdzOBwEg0G8Xi/JZJKnT5/S1NTEs2fP8Hg8hV7enkun04RCIS5c\nuMDZs2c3jFNv+22rOVNfy/j8+TNXr14lmUxSVlbGnTt3OHPmTM5Y1VlGPjlTnWWMjY3x4cMHnj9/\nvqX4naq1fTXYbiSdTm95L98/8bJ53nw+36pvoz6fj/r6eoaHh7lx48ZeLVGKgMvlwuVyZX/3+Xz8\n+PGDSCRCZ2dnAVdWGIFAgK9fv/LkyZO8jy3W3rbVnKmvZZw+fZqXL1+yuLjI69ev8fv9DAwMbDio\nrVWMdZZPzlRnEIvFCIVCPHz4ELvdvu3/s51a21eD7ZEjR7Bareum9/n5+Q1fNHE4HDnj134rMLPt\n5G0tm82Gx+Ph+/fvu7FEU3A4HOve5J+bm+PgwYO6W5unc+fOFeV2hGAwyNu3bxkcHOTYsWObxqq3\nZeSTs7WKta/ZbDacTicAtbW1TE5O0t/fT2tr67pY1VlGPjnLdWyx1dn09DTz8/NcuXIlO5wuLy/z\n/v17BgcHmZqaWndjbadqbV/tsbXb7dTW1jIxMZH9LJ1OMzExQV1dXc5jfD7fqniAd+/ebbo3xmy2\nk7e1VlZW+PLlS94XjmKiWts5Hz9+LLpaCwaDvHnzhv7+fk6cOPGf8aq3/HO2lvpaxsrKCslkMuff\nVGe5bZazXLHFVmeXLl1iZGSEFy9eEI1GiUajeL1eGhoaiEajOZ8W71StWQOBQOD/LH6vlZWVcfv2\nbaqrq7Hb7XR3d/Pp0yfa2tooLS2lubmZqamp7Eblqqoquru7KS0t5fDhwwwMDDA+Pk4oFKKioqLA\nZ7N38s3b3bt3SaVSWCwWfv78SUdHB5OTk7S2thZN3hKJBN++fSMejzM8PMz58+cpKSkhlUpRXl5O\nV1cX0WiUy5cvA3Dy5El6e3v59esX1dXVvHr1ikgkws2bN7Pf9ItBvnl79OgRc3Nz2Gw2Zmdn6e3t\nZXx8nJaWFmpqagp8NnsjEAgwOjpKT08PDoeDRCJBIpHAarVis2UerPn9fvW2f9lOztTXIBwOY7fb\nSafTxGIxIpEIo6OjNDc343Q6dQ3NId+cqc4yN9QqKipW/YyMjOB0OmloaAB2r6ftq60IAPX19Sws\nLNDT04NhGHg8Hvr6+rInHYvFsFqt2fi6ujq6uroIh8OEw2FOnTrFvXv3Nn3BwIzyzdvi4iItLS0Y\nhsGhQ4fwer0MDQ1teQ+WGUxPT9PU1ITFYsFisWT3ezY2NtLe3o5hGMzMzGTja2pquH//Ph0dHTx+\n/Jjjx49z69atdW95ml2+eUulUnR2djI7O0tJSQlut5tIJMLFixcLdQp7bmhoCIvFwvXr11d93t7e\nTmNjIwAzMzP89dfvh2zF3tu2kzP1NTAMA7/fTzwep7y8HLfbzYMHD7LDha6h6+WbM9VZbmvv0u5W\nT7Oki3EXuIiIiIiYzr7aYysiIiIishENtiIiIiJiChpsRURERMQUNNiKiIiIiClosBURERERU9Bg\nKyIiIiKmoMFWRERERExBg62IiIiImIIGWxERERExBQ22IiIiImIKGmxFRERExBT+BkRpGXIaVyTX\nAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x12ea97eb8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.plot(five_fold_scores)\n",
"plt.plot(ten_fold_scores)\n",
"plt.plot(-np.array(scores_632))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Question 4\n",
"\n",
"Fit a series of random-forest classifiers to the very low birthweight infant data (`vlbw.csv`), to explore the sensitivity to the parameter `m`, the number of variables considered for splitting at each step. Plot both the out-of-bag error as well as the test error against a suitably-chosen range of values for `m`."
]
},
{
"cell_type": "code",
"execution_count": 116,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"birth 81.511\n",
"exit 81.604\n",
"hospstay 34\n",
"lowph NaN\n",
"pltct 100\n",
"race white\n",
"bwt 1250\n",
"gest 35\n",
"inout born at Duke\n",
"twn 0\n",
"lol NaN\n",
"magsulf NaN\n",
"meth 0\n",
"toc 0\n",
"delivery abdominal\n",
"apg1 8\n",
"vent 0\n",
"pneumo 0\n",
"pda 0\n",
"cld 0\n",
"pvh NaN\n",
"ivh NaN\n",
"ipe NaN\n",
"year 81.512\n",
"sex female\n",
"dead 0\n",
"Name: 1, dtype: object"
]
},
"execution_count": 116,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"vlbw = pd.read_csv('/Users/fonnescj/Teaching/Bios8366/data/vlbw.csv', index_col=0)\n",
"vlbw.ix[1]"
]
},
{
"cell_type": "code",
"execution_count": 117,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([nan, 'absent', 'definite', 'possible'], dtype=object)"
]
},
"execution_count": 117,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"vlbw.ipe.unique()"
]
},
{
"cell_type": "code",
"execution_count": 118,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"vlbw_numeric = vlbw.replace({'sex': {'female':0, 'male':1},\n",
" 'delivery': {'abdominal':0, 'vaginal':1},\n",
" 'inout': {'born at Duke':0, 'transported':1},\n",
" 'race': {'white':0, 'black':1, 'native American':2, 'oriental':3},\n",
" 'ivh': {'definite':1, 'absent':0, 'possible':1},\n",
" 'ipe': {'definite':1, 'absent':0, 'possible':1},\n",
" 'pvh': {'definite':1, 'absent':0, 'possible':1}})\n"
]
},
{
"cell_type": "code",
"execution_count": 119,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"birth 0.03\n",
"exit 0.05\n",
"hospstay 0.05\n",
"lowph 0.09\n",
"pltct 0.10\n",
"race 0.04\n",
"bwt 0.00\n",
"gest 0.01\n",
"inout 0.00\n",
"twn 0.03\n",
"lol 0.57\n",
"magsulf 0.37\n",
"meth 0.16\n",
"toc 0.16\n",
"delivery 0.03\n",
"apg1 0.05\n",
"vent 0.04\n",
"pneumo 0.04\n",
"pda 0.04\n",
"cld 0.10\n",
"pvh 0.22\n",
"ivh 0.21\n",
"ipe 0.21\n",
"year 0.03\n",
"sex 0.03\n",
"dead 0.00\n",
"dtype: float64"
]
},
"execution_count": 119,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"vlbw_numeric.isnull().mean(0).round(2)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We will drop variables that have a lot of missing values, as well as the response variables"
]
},
{
"cell_type": "code",
"execution_count": 120,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"vlbw_numeric = vlbw_numeric.drop(['lol', 'magsulf'], axis=1)"
]
},
{
"cell_type": "code",
"execution_count": 121,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"vlbw_complete = vlbw_numeric[vlbw_numeric.ivh.notnull()]\n",
"y = vlbw_complete.pop('ivh').values"
]
},
{
"cell_type": "code",
"execution_count": 122,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"from sklearn.preprocessing import Imputer\n",
"\n",
"imp = Imputer(missing_values='NaN', strategy='median', axis=0)"
]
},
{
"cell_type": "code",
"execution_count": 123,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Imputer(axis=0, copy=True, missing_values='NaN', strategy='median', verbose=0)"
]
},
"execution_count": 123,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"imp.fit(vlbw_complete)"
]
},
{
"cell_type": "code",
"execution_count": 124,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"X = imp.transform(vlbw_complete)"
]
},
{
"cell_type": "code",
"execution_count": 125,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"from sklearn.ensemble import RandomForestClassifier"
]
},
{
"cell_type": "code",
"execution_count": 126,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"X_train, X_test, y_train, y_test = cross_validation.train_test_split(\n",
" X, y, test_size=0.4, random_state=0)"
]
},
{
"cell_type": "code",
"execution_count": 127,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/fonnescj/anaconda3/envs/bios8366/lib/python3.5/site-packages/sklearn/ensemble/forest.py:439: UserWarning: Some inputs do not have OOB scores. This probably means too few trees were used to compute any reliable oob estimates.\n",
" warn(\"Some inputs do not have OOB scores. \"\n",
"/Users/fonnescj/anaconda3/envs/bios8366/lib/python3.5/site-packages/sklearn/ensemble/forest.py:439: UserWarning: Some inputs do not have OOB scores. This probably means too few trees were used to compute any reliable oob estimates.\n",
" warn(\"Some inputs do not have OOB scores. \"\n",
"/Users/fonnescj/anaconda3/envs/bios8366/lib/python3.5/site-packages/sklearn/ensemble/forest.py:439: UserWarning: Some inputs do not have OOB scores. This probably means too few trees were used to compute any reliable oob estimates.\n",
" warn(\"Some inputs do not have OOB scores. \"\n",
"/Users/fonnescj/anaconda3/envs/bios8366/lib/python3.5/site-packages/sklearn/ensemble/forest.py:439: UserWarning: Some inputs do not have OOB scores. This probably means too few trees were used to compute any reliable oob estimates.\n",
" warn(\"Some inputs do not have OOB scores. \"\n",
"/Users/fonnescj/anaconda3/envs/bios8366/lib/python3.5/site-packages/sklearn/ensemble/forest.py:439: UserWarning: Some inputs do not have OOB scores. This probably means too few trees were used to compute any reliable oob estimates.\n",
" warn(\"Some inputs do not have OOB scores. \"\n",
"/Users/fonnescj/anaconda3/envs/bios8366/lib/python3.5/site-packages/sklearn/ensemble/forest.py:439: UserWarning: Some inputs do not have OOB scores. This probably means too few trees were used to compute any reliable oob estimates.\n",
" warn(\"Some inputs do not have OOB scores. \"\n"
]
}
],
"source": [
"m = [1, 3, 5, 10, 15, 20]\n",
"\n",
"oob_score = []\n",
"test_score = []\n",
"for mi in m:\n",
" \n",
" rfc = RandomForestClassifier(max_features=mi)\n",
" rfc.fit(X_train, y_train)\n",
" test_score.append(rfc.score(X_test, y_test))\n",
" \n",
" rfc = RandomForestClassifier(max_features=mi, oob_score=True)\n",
" rfc.fit(X_train, y_train)\n",
" oob_score.append(rfc.score(X_test, y_test))"
]
},
{
"cell_type": "code",
"execution_count": 128,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x12e95d5f8>]"
]
},
"execution_count": 128,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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FRH5AfaOdp97eyWc7igFIjAnmD7OH0q1LqMGRndnI1DjGZDRvtLDzQDnvf11gcEQiIm1H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\n2MQSERERkeT8BfKcy28IqnXeAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x12e973940>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.plot(m, oob_score)\n",
"plt.plot(m, test_score)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Bonus: Question 5\n",
"\n",
"Use a grid search to optimize the number of estimators and max_depth for a Gradient Boosted Decision tree using the very low birthweight infant data. Plug this optimal ``max_depth`` into a *single* decision tree. Does this single tree over-fit or under-fit the data? Repeat this for the Random Forest. Construct a single decision tree using the ``max_depth`` which is optimal for the Random Forest. Does this single tree over-fit or under-fit the data?"
]
},
{
"cell_type": "code",
"execution_count": 129,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"from sklearn import grid_search\n",
"from sklearn.ensemble import GradientBoostingClassifier\n",
"\n",
"parameters = {'max_depth': [1, 2, 3, 5, 7], 'n_estimators': [25, 50, 100, 150]}\n",
"gbc = GradientBoostingClassifier()\n",
"gbc_cv = grid_search.GridSearchCV(gbc, parameters)"
]
},
{
"cell_type": "code",
"execution_count": 130,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"GridSearchCV(cv=None, error_score='raise',\n",
" estimator=GradientBoostingClassifier(criterion='friedman_mse', init=None,\n",
" learning_rate=0.1, loss='deviance', max_depth=3,\n",
" max_features=None, max_leaf_nodes=None,\n",
" min_impurity_split=1e-07, min_samples_leaf=1,\n",
" min_samples_split=2, min_weight_fraction_leaf=0.0,\n",
" n_estimators=100, presort='auto', random_state=None,\n",
" subsample=1.0, verbose=0, warm_start=False),\n",
" fit_params={}, iid=True, n_jobs=1,\n",
" param_grid={'n_estimators': [25, 50, 100, 150], 'max_depth': [1, 2, 3, 5, 7]},\n",
" pre_dispatch='2*n_jobs', refit=True, scoring=None, verbose=0)"
]
},
"execution_count": 130,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gbc_cv.fit(X, y)"
]
},
{
"cell_type": "code",
"execution_count": 131,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"best_gbc_params = gbc_cv.best_params_"
]
},
{
"cell_type": "code",
"execution_count": 132,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.86729857819905209"
]
},
"execution_count": 132,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gbc_single = GradientBoostingClassifier(max_depth=best_gbc_params['max_depth'], \n",
" n_estimators=best_gbc_params['n_estimators'])\n",
"gbc_single.fit(X_train, y_train)\n",
"gbc_single.score(X_test, y_test)"
]
},
{
"cell_type": "code",
"execution_count": 133,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.84810126582278478"
]
},
"execution_count": 133,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gbc_single.score(X_train, y_train)"
]
},
{
"cell_type": "code",
"execution_count": 134,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"rfc = RandomForestClassifier()\n",
"rf_cv = grid_search.GridSearchCV(rfc, parameters)"
]
},
{
"cell_type": "code",
"execution_count": 135,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"GridSearchCV(cv=None, error_score='raise',\n",
" estimator=RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',\n",
" max_depth=None, max_features='auto', max_leaf_nodes=None,\n",
" min_impurity_split=1e-07, min_samples_leaf=1,\n",
" min_samples_split=2, min_weight_fraction_leaf=0.0,\n",
" n_estimators=10, n_jobs=1, oob_score=False, random_state=None,\n",
" verbose=0, warm_start=False),\n",
" fit_params={}, iid=True, n_jobs=1,\n",
" param_grid={'n_estimators': [25, 50, 100, 150], 'max_depth': [1, 2, 3, 5, 7]},\n",
" pre_dispatch='2*n_jobs', refit=True, scoring=None, verbose=0)"
]
},
"execution_count": 135,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"rf_cv.fit(X, y)\n"
]
},
{
"cell_type": "code",
"execution_count": 136,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"best_rf_params = rf_cv.best_params_"
]
},
{
"cell_type": "code",
"execution_count": 137,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.80568720379146919"
]
},
"execution_count": 137,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from sklearn import tree\n",
"\n",
"tree_classsifier = tree.DecisionTreeClassifier(max_depth=best_rf_params['max_depth'])\n",
"tree_classsifier.fit(X_train, y_train)\n",
"tree_classsifier.score(X_test, y_test)"
]
},
{
"cell_type": "code",
"execution_count": 138,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.879746835443038"
]
},
"execution_count": 138,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tree_classsifier.score(X_train, y_train)"
]
}
],
"metadata": {
"anaconda-cloud": {},
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.2"
},
"latex_envs": {
"bibliofile": "biblio.bib",
"cite_by": "apalike",
"current_citInitial": 1,
"eqLabelWithNumbers": true,
"eqNumInitial": 0
}
},
"nbformat": 4,
"nbformat_minor": 1
}
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