{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Credit Risk Classifications\n",
"\n",
"by: Keith Qu\n",
"\n",
"Using the data set from Kaggle's Give Me Some Credit competition, which contains 150,000 observations with 10 features and the objective of predicting whether a lendee will have a serious delinquincy (90+ days past due) within 2 years.\n",
"\n",
"Using the methods described, we were able to attain an AUC score of 0.866752 on the private leaderboard.\n",
"\n",
"Contents:\n",
"\n",
"
"
]
},
{
"cell_type": "code",
"execution_count": 141,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"from sklearn.manifold import TSNE\n",
"from scipy.stats import randint, uniform\n",
"from scipy import linalg\n",
"from sklearn.decomposition import PCA\n",
"from sklearn.preprocessing import MinMaxScaler, StandardScaler\n",
"from sklearn.ensemble import GradientBoostingClassifier, GradientBoostingRegressor, RandomForestClassifier\n",
"from sklearn.linear_model import LogisticRegression\n",
"from sklearn.model_selection import train_test_split, cross_val_predict, RandomizedSearchCV\n",
"from sklearn.metrics import classification_report, confusion_matrix, roc_auc_score\n",
"from sklearn.metrics import accuracy_score, r2_score, mean_squared_error\n",
"import xgboost as xgb\n",
"import random\n",
"%matplotlib inline"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"## Exploration, Cleaning, Creating Features\n",
"\n",
"We have the following variables:\n",
"\n",
"\n",
"- SeriousDlqin2yrs (target): individual experiences a 90+ day overdue payment within 2 years
\n",
"- age
\n",
"- RevolvingUtilizationOfUnsecuredLines: balance on credit cards and lines of credit / sum of limits (excluding real etate, installment debt)
\n",
"- DebtRatio: monthly debt, alimony, living cost payments divided by monthly income
\n",
"- NumberRealEstateLoansOrLines: only real estate loans
\n",
"- NumberOfOpenCreditLinesAndLoans: # install ment loans and LOCs
\n",
"- NumberOfTime30-59DaysPastDueNotWorse: number of times person experienced 30-59 day lateness, but not more than that
\n",
"- NumberOfTime60-89DaysPastDueNotWorse: same as above with 60-89 days
\n",
"- NumberOfTime90DaysPastDueNotWorse: same as above with 90+
\n",
"- NumberOfDependents: number of family members excluding self
\n",
"- MonthlyIncome
"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" SeriousDlqin2yrs | \n",
" RevolvingUtilizationOfUnsecuredLines | \n",
" age | \n",
" NumberOfTime30-59DaysPastDueNotWorse | \n",
" DebtRatio | \n",
" MonthlyIncome | \n",
" NumberOfOpenCreditLinesAndLoans | \n",
" NumberOfTimes90DaysLate | \n",
" NumberRealEstateLoansOrLines | \n",
" NumberOfTime60-89DaysPastDueNotWorse | \n",
" NumberOfDependents | \n",
"
\n",
" \n",
" \n",
" \n",
" 1 | \n",
" 1 | \n",
" 0.766127 | \n",
" 45 | \n",
" 2 | \n",
" 0.802982 | \n",
" 9120.0 | \n",
" 13 | \n",
" 0 | \n",
" 6 | \n",
" 0 | \n",
" 2.0 | \n",
"
\n",
" \n",
" 2 | \n",
" 0 | \n",
" 0.957151 | \n",
" 40 | \n",
" 0 | \n",
" 0.121876 | \n",
" 2600.0 | \n",
" 4 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 1.0 | \n",
"
\n",
" \n",
" 3 | \n",
" 0 | \n",
" 0.658180 | \n",
" 38 | \n",
" 1 | \n",
" 0.085113 | \n",
" 3042.0 | \n",
" 2 | \n",
" 1 | \n",
" 0 | \n",
" 0 | \n",
" 0.0 | \n",
"
\n",
" \n",
" 4 | \n",
" 0 | \n",
" 0.233810 | \n",
" 30 | \n",
" 0 | \n",
" 0.036050 | \n",
" 3300.0 | \n",
" 5 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0.0 | \n",
"
\n",
" \n",
" 5 | \n",
" 0 | \n",
" 0.907239 | \n",
" 49 | \n",
" 1 | \n",
" 0.024926 | \n",
" 63588.0 | \n",
" 7 | \n",
" 0 | \n",
" 1 | \n",
" 0 | \n",
" 0.0 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" SeriousDlqin2yrs RevolvingUtilizationOfUnsecuredLines age \\\n",
"1 1 0.766127 45 \n",
"2 0 0.957151 40 \n",
"3 0 0.658180 38 \n",
"4 0 0.233810 30 \n",
"5 0 0.907239 49 \n",
"\n",
" NumberOfTime30-59DaysPastDueNotWorse DebtRatio MonthlyIncome \\\n",
"1 2 0.802982 9120.0 \n",
"2 0 0.121876 2600.0 \n",
"3 1 0.085113 3042.0 \n",
"4 0 0.036050 3300.0 \n",
"5 1 0.024926 63588.0 \n",
"\n",
" NumberOfOpenCreditLinesAndLoans NumberOfTimes90DaysLate \\\n",
"1 13 0 \n",
"2 4 0 \n",
"3 2 1 \n",
"4 5 0 \n",
"5 7 0 \n",
"\n",
" NumberRealEstateLoansOrLines NumberOfTime60-89DaysPastDueNotWorse \\\n",
"1 6 0 \n",
"2 0 0 \n",
"3 0 0 \n",
"4 0 0 \n",
"5 1 0 \n",
"\n",
" NumberOfDependents \n",
"1 2.0 \n",
"2 1.0 \n",
"3 0.0 \n",
"4 0.0 \n",
"5 0.0 "
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = pd.read_csv('cs-training.csv',index_col=0)\n",
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Int64Index: 150000 entries, 1 to 150000\n",
"Data columns (total 11 columns):\n",
"SeriousDlqin2yrs 150000 non-null int64\n",
"RevolvingUtilizationOfUnsecuredLines 150000 non-null float64\n",
"age 150000 non-null int64\n",
"NumberOfTime30-59DaysPastDueNotWorse 150000 non-null int64\n",
"DebtRatio 150000 non-null float64\n",
"MonthlyIncome 120269 non-null float64\n",
"NumberOfOpenCreditLinesAndLoans 150000 non-null int64\n",
"NumberOfTimes90DaysLate 150000 non-null int64\n",
"NumberRealEstateLoansOrLines 150000 non-null int64\n",
"NumberOfTime60-89DaysPastDueNotWorse 150000 non-null int64\n",
"NumberOfDependents 146076 non-null float64\n",
"dtypes: float64(4), int64(7)\n",
"memory usage: 13.7 MB\n"
]
}
],
"source": [
"df.info()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Balance\n",
"Only 6.684% of the observations have delinquincies."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df['SeriousDlqin2yrs'].value_counts().plot(kind='bar')"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.06684"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['SeriousDlqin2yrs'].mean()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Serious delinquincies"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"count 150000.000000\n",
"mean 0.066840\n",
"std 0.249746\n",
"min 0.000000\n",
"25% 0.000000\n",
"50% 0.000000\n",
"75% 0.000000\n",
"max 1.000000\n",
"Name: SeriousDlqin2yrs, dtype: float64"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['SeriousDlqin2yrs'].describe()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Nothing odd here."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Age\n",
"There's someone aged 0, which should be an error. Let's set it to 21, the minimum age that makes sense. We can also set it to the median age, but this won't make a huge difference considering there are 150,000 observations."
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0 1\n",
"21 183\n",
"22 434\n",
"23 641\n",
"24 816\n",
"25 953\n",
"26 1193\n",
"27 1338\n",
"28 1560\n",
"29 1702\n",
"30 1937\n",
"31 2038\n",
"32 2050\n",
"33 2239\n",
"34 2155\n",
"35 2246\n",
"36 2379\n",
"37 2521\n",
"38 2631\n",
"39 2987\n",
"Name: age, dtype: int64"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['age'].value_counts().sort_index().iloc[:20]"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"96 18\n",
"97 17\n",
"98 6\n",
"99 9\n",
"101 3\n",
"102 3\n",
"103 3\n",
"105 1\n",
"107 1\n",
"109 2\n",
"Name: age, dtype: int64"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['age'].value_counts().sort_index().iloc[-10:]"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"df.loc[df['age']==0,'age'] = 21"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Revolving Utilization Of Unsecured Lines\n",
"\n",
"This should be a ratio but for many observations they seem to actually be dollar amounts. Maybe the denominator was 1."
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"count 150000.000000\n",
"mean 6.048438\n",
"std 249.755371\n",
"min 0.000000\n",
"25% 0.029867\n",
"50% 0.154181\n",
"75% 0.559046\n",
"max 50708.000000\n",
"Name: RevolvingUtilizationOfUnsecuredLines, dtype: float64"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['RevolvingUtilizationOfUnsecuredLines'].describe()"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.154180737"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['RevolvingUtilizationOfUnsecuredLines'].median()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5,1,'Revolving Utilization by Percentile')"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"freq=pd.DataFrame(sorted(df['RevolvingUtilizationOfUnsecuredLines']))\n",
"freq.quantile(q=np.arange(0.995,0.99999,0.0001)).plot()\n",
"plt.title('Revolving Utilization by Percentile')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The values only start going crazy at some point after the 99.8th percentile, so there fewer than 300 \"irregular\" values."
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" 0 | \n",
"
\n",
" \n",
" \n",
" \n",
" 0.998 | \n",
" 2.761009 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" 0\n",
"0.998 2.761009"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"freq.quantile(q=[0.998])"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" SeriousDlqin2yrs | \n",
" RevolvingUtilizationOfUnsecuredLines | \n",
" age | \n",
" NumberOfTime30-59DaysPastDueNotWorse | \n",
" DebtRatio | \n",
" MonthlyIncome | \n",
" NumberOfOpenCreditLinesAndLoans | \n",
" NumberOfTimes90DaysLate | \n",
" NumberRealEstateLoansOrLines | \n",
" NumberOfTime60-89DaysPastDueNotWorse | \n",
" NumberOfDependents | \n",
"
\n",
" \n",
" \n",
" \n",
" 1 | \n",
" 1 | \n",
" 0.766127 | \n",
" 45 | \n",
" 2 | \n",
" 0.802982 | \n",
" 9120.0 | \n",
" 13 | \n",
" 0 | \n",
" 6 | \n",
" 0 | \n",
" 2.0 | \n",
"
\n",
" \n",
" 2 | \n",
" 0 | \n",
" 0.957151 | \n",
" 40 | \n",
" 0 | \n",
" 0.121876 | \n",
" 2600.0 | \n",
" 4 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 1.0 | \n",
"
\n",
" \n",
" 3 | \n",
" 0 | \n",
" 0.658180 | \n",
" 38 | \n",
" 1 | \n",
" 0.085113 | \n",
" 3042.0 | \n",
" 2 | \n",
" 1 | \n",
" 0 | \n",
" 0 | \n",
" 0.0 | \n",
"
\n",
" \n",
" 4 | \n",
" 0 | \n",
" 0.233810 | \n",
" 30 | \n",
" 0 | \n",
" 0.036050 | \n",
" 3300.0 | \n",
" 5 | \n",
" 0 | \n",
" 0 | \n",
" 0 | \n",
" 0.0 | \n",
"
\n",
" \n",
" 5 | \n",
" 0 | \n",
" 0.907239 | \n",
" 49 | \n",
" 1 | \n",
" 0.024926 | \n",
" 63588.0 | \n",
" 7 | \n",
" 0 | \n",
" 1 | \n",
" 0 | \n",
" 0.0 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" SeriousDlqin2yrs RevolvingUtilizationOfUnsecuredLines age \\\n",
"1 1 0.766127 45 \n",
"2 0 0.957151 40 \n",
"3 0 0.658180 38 \n",
"4 0 0.233810 30 \n",
"5 0 0.907239 49 \n",
"\n",
" NumberOfTime30-59DaysPastDueNotWorse DebtRatio MonthlyIncome \\\n",
"1 2 0.802982 9120.0 \n",
"2 0 0.121876 2600.0 \n",
"3 1 0.085113 3042.0 \n",
"4 0 0.036050 3300.0 \n",
"5 1 0.024926 63588.0 \n",
"\n",
" NumberOfOpenCreditLinesAndLoans NumberOfTimes90DaysLate \\\n",
"1 13 0 \n",
"2 4 0 \n",
"3 2 1 \n",
"4 5 0 \n",
"5 7 0 \n",
"\n",
" NumberRealEstateLoansOrLines NumberOfTime60-89DaysPastDueNotWorse \\\n",
"1 6 0 \n",
"2 0 0 \n",
"3 0 0 \n",
"4 0 0 \n",
"5 1 0 \n",
"\n",
" NumberOfDependents \n",
"1 2.0 \n",
"2 1.0 \n",
"3 0.0 \n",
"4 0.0 \n",
"5 0.0 "
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df[df['MonthlyIncome']>=2.761009].head()"
]
},
{
"cell_type": "markdown",
"metadata": {
"collapsed": true
},
"source": [
"With a media of 0.154 and mean of 6.04 there is huge positive skewness. It's possible that there is some inconsistency in the data. Even accounts that are victims of fraud will not have rates in the thousands. It is possible that they were recorded as dollar amounts, or when credit card limits were unavailable, 1 was substituted in the denominators.\n",
"\n",
"Regardless, we should deal with this problem in some way, such as censoring all amounts above some threshold. We will play it safe and use 2.5."
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"df['RevolvingUtilizationOfUnsecuredLines'] = df['RevolvingUtilizationOfUnsecuredLines'].apply(lambda i:i if i <= 2.5 else 2.5)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[]"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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Ylysq9Y3QfGsINht99dCMWvVpKteoNaZjjCl317SUq/750nWtv8XWO5sdvukx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\nFgjFnRBCFgjFnRBCFsj/B8eIrVMzp1I6AAAAAElFTkSuQmCC\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.plot(df['RevolvingUtilizationOfUnsecuredLines'], 'bo', markersize=2)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"There are also other ways to deal with the outliers. For one, we can ignore them, since decision tree models"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Lateness\n",
"\n",
"\n",
"- NumberOfTime30-59DaysPastDueNotWorse
\n",
"- NumberOfTime60-89DaysPastDueNotWorse
\n",
"- NumberOfTimes90DaysLate
\n",
"
\n",
"\n",
"There are some outliers in these values. While it may be feasible, if unlikely, for someone to have nearly 100 loans past due, in the actual data, these people with huge numbers of defaults don't seem more likely to default than anyone else."
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0 126018\n",
"1 16033\n",
"2 4598\n",
"3 1754\n",
"4 747\n",
"5 342\n",
"6 140\n",
"7 54\n",
"8 25\n",
"9 12\n",
"10 4\n",
"11 1\n",
"12 2\n",
"13 1\n",
"96 5\n",
"98 264\n",
"Name: NumberOfTime30-59DaysPastDueNotWorse, dtype: int64"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['NumberOfTime30-59DaysPastDueNotWorse'].value_counts().sort_index()"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"df['NumberOfTime30-59DaysPastDueNotWorse'] = [v if v <= 13 else np.median(df['NumberOfTime30-59DaysPastDueNotWorse'])\n",
" for v in df['NumberOfTime30-59DaysPastDueNotWorse']]"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0 142396\n",
"1 5731\n",
"2 1118\n",
"3 318\n",
"4 105\n",
"5 34\n",
"6 16\n",
"7 9\n",
"8 2\n",
"9 1\n",
"11 1\n",
"96 5\n",
"98 264\n",
"Name: NumberOfTime60-89DaysPastDueNotWorse, dtype: int64"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['NumberOfTime60-89DaysPastDueNotWorse'].value_counts().sort_index()"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"df['NumberOfTime60-89DaysPastDueNotWorse'] = [v if v <= 11 else np.median(df['NumberOfTime60-89DaysPastDueNotWorse'])\n",
" for v in df['NumberOfTime60-89DaysPastDueNotWorse']]"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0 141662\n",
"1 5243\n",
"2 1555\n",
"3 667\n",
"4 291\n",
"5 131\n",
"6 80\n",
"7 38\n",
"8 21\n",
"9 19\n",
"10 8\n",
"11 5\n",
"12 2\n",
"13 4\n",
"14 2\n",
"15 2\n",
"17 1\n",
"96 5\n",
"98 264\n",
"Name: NumberOfTimes90DaysLate, dtype: int64"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['NumberOfTimes90DaysLate'].value_counts().sort_index()"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"df['NumberOfTimes90DaysLate'] = [v if v <= 17 else np.median(df['NumberOfTimes90DaysLate'])\n",
" for v in df['NumberOfTimes90DaysLate']]"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"latecor = df[['SeriousDlqin2yrs','NumberOfTime30-59DaysPastDueNotWorse','NumberOfTime60-89DaysPastDueNotWorse','NumberOfTimes90DaysLate']].copy()"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"for c in latecor.columns:\n",
" latecor[c] = [v if v < 1 else 1 for v in latecor[c]]"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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cbftIyqRM29jepr+g68/uHkrb9kvSgsBRwM62NwGOp1boqr8Af6L8zjW9l/Kz2hDYDvhO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\n87AmGQAAAABJRU5ErkJggg==\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.heatmap(latecor.corr())"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" SeriousDlqin2yrs | \n",
" NumberOfTime30-59DaysPastDueNotWorse | \n",
" NumberOfTime60-89DaysPastDueNotWorse | \n",
" NumberOfTimes90DaysLate | \n",
"
\n",
" \n",
" \n",
" \n",
" SeriousDlqin2yrs | \n",
" 1.000000 | \n",
" 0.238023 | \n",
" 0.263986 | \n",
" 0.329598 | \n",
"
\n",
" \n",
" NumberOfTime30-59DaysPastDueNotWorse | \n",
" 0.238023 | \n",
" 1.000000 | \n",
" 0.251190 | \n",
" 0.227149 | \n",
"
\n",
" \n",
" NumberOfTime60-89DaysPastDueNotWorse | \n",
" 0.263986 | \n",
" 0.251190 | \n",
" 1.000000 | \n",
" 0.291774 | \n",
"
\n",
" \n",
" NumberOfTimes90DaysLate | \n",
" 0.329598 | \n",
" 0.227149 | \n",
" 0.291774 | \n",
" 1.000000 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" SeriousDlqin2yrs \\\n",
"SeriousDlqin2yrs 1.000000 \n",
"NumberOfTime30-59DaysPastDueNotWorse 0.238023 \n",
"NumberOfTime60-89DaysPastDueNotWorse 0.263986 \n",
"NumberOfTimes90DaysLate 0.329598 \n",
"\n",
" NumberOfTime30-59DaysPastDueNotWorse \\\n",
"SeriousDlqin2yrs 0.238023 \n",
"NumberOfTime30-59DaysPastDueNotWorse 1.000000 \n",
"NumberOfTime60-89DaysPastDueNotWorse 0.251190 \n",
"NumberOfTimes90DaysLate 0.227149 \n",
"\n",
" NumberOfTime60-89DaysPastDueNotWorse \\\n",
"SeriousDlqin2yrs 0.263986 \n",
"NumberOfTime30-59DaysPastDueNotWorse 0.251190 \n",
"NumberOfTime60-89DaysPastDueNotWorse 1.000000 \n",
"NumberOfTimes90DaysLate 0.291774 \n",
"\n",
" NumberOfTimes90DaysLate \n",
"SeriousDlqin2yrs 0.329598 \n",
"NumberOfTime30-59DaysPastDueNotWorse 0.227149 \n",
"NumberOfTime60-89DaysPastDueNotWorse 0.291774 \n",
"NumberOfTimes90DaysLate 1.000000 "
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"latecor.corr()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can see that the correlation between delinquincy within 2 years increases in the number of days of lateness.\n",
"\n",
"Past lateness alone is not a very accurate predictor of future delinquency, but they are a valuable contributor. In a linear model, the probability of delinquency conditional on having prior lateness would be higher depending on the degree of past lateness. In a decision tree we can imagine, for example, that a path with a larger number of prior late notices, low income, high debt, and a larger number of dependents would be very likely to have a serious delinquency. Conditional probability is one of the most powerful concepts in the universe."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Number of dependents\n",
"\n",
"There is no reason to suspect any of these numbers, even the 2 outliers within 13 and 20 dependents. Those numbers are not out of the question at all. We can set the 2 outliers to 10, but we'll leave them be for now.\n",
"\n",
"There is missing data we will fill with the median, which turns out to just be 0."
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.0 86902\n",
"1.0 26316\n",
"2.0 19522\n",
"3.0 9483\n",
"4.0 2862\n",
"5.0 746\n",
"6.0 158\n",
"7.0 51\n",
"8.0 24\n",
"9.0 5\n",
"10.0 5\n",
"13.0 1\n",
"20.0 1\n",
"Name: NumberOfDependents, dtype: int64"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['NumberOfDependents'].value_counts().sort_index()"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.0"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['NumberOfDependents'].median()"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"df['NumberOfDependents'].fillna(0, inplace=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Real estate loans\n",
"\n",
"Like unsecured credit utilization, there are a small number of outliers that we can choose to censor. Let's set 15 as a threshold. These higher numbers of real estate loans don't necessarily give us that much relevant information."
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0 56188\n",
"1 52338\n",
"2 31522\n",
"3 6300\n",
"4 2170\n",
"5 689\n",
"6 320\n",
"7 171\n",
"8 93\n",
"9 78\n",
"10 37\n",
"11 23\n",
"12 18\n",
"13 15\n",
"14 7\n",
"15 7\n",
"16 4\n",
"17 4\n",
"18 2\n",
"19 2\n",
"20 2\n",
"21 1\n",
"23 2\n",
"25 3\n",
"26 1\n",
"29 1\n",
"32 1\n",
"54 1\n",
"Name: NumberRealEstateLoansOrLines, dtype: int64"
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['NumberRealEstateLoansOrLines'].value_counts().sort_index()"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"df['NumberRealEstateLoansOrLines'] = [v if v <= 15 else np.median(df['NumberRealEstateLoansOrLines'])\n",
" for v in df['NumberRealEstateLoansOrLines']]"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Int64Index: 150000 entries, 1 to 150000\n",
"Data columns (total 11 columns):\n",
"SeriousDlqin2yrs 150000 non-null int64\n",
"RevolvingUtilizationOfUnsecuredLines 150000 non-null float64\n",
"age 150000 non-null int64\n",
"NumberOfTime30-59DaysPastDueNotWorse 150000 non-null float64\n",
"DebtRatio 150000 non-null float64\n",
"MonthlyIncome 120269 non-null float64\n",
"NumberOfOpenCreditLinesAndLoans 150000 non-null int64\n",
"NumberOfTimes90DaysLate 150000 non-null float64\n",
"NumberRealEstateLoansOrLines 150000 non-null float64\n",
"NumberOfTime60-89DaysPastDueNotWorse 150000 non-null float64\n",
"NumberOfDependents 150000 non-null float64\n",
"dtypes: float64(8), int64(3)\n",
"memory usage: 13.7 MB\n"
]
}
],
"source": [
"df.info()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Debt Ratio\n",
"\n",
"As with revolving utilization, the ratio is not too informative when the denominator is very low. 329664 doesn't make much since as a debt ratio, but it makes a lot of sense for a dollar amount. Indeed, the documentation describes DebtRatio as debt payments, alimony and living costs divided by monthly gross income. We can surmise that when income was 0 or was missing, 1 was substituted."
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"count 150000.000000\n",
"mean 353.005076\n",
"std 2037.818523\n",
"min 0.000000\n",
"25% 0.175074\n",
"50% 0.366508\n",
"75% 0.868254\n",
"max 329664.000000\n",
"Name: DebtRatio, dtype: float64"
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['DebtRatio'].describe()"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"count 29731.000000\n",
"mean 1673.396556\n",
"std 4248.372895\n",
"min 0.000000\n",
"25% 123.000000\n",
"50% 1159.000000\n",
"75% 2382.000000\n",
"max 329664.000000\n",
"Name: DebtRatio, dtype: float64"
]
},
"execution_count": 36,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df[df['MonthlyIncome'].isnull()].describe()['DebtRatio']"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This actually gives us an interesting opportunity to create a monthly payments feature. But first let's look at the accounts with 1 monthly income. It's very interesting to see that there are significantly fewer delinquincies among people with 1 than those with 0, and fewer even than those with higher incomes. Although this could just mean that those with lower incomes receive fewer loans, and perhaps those with 0 income did not have 0 when the loans were taken."
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"count 1.202690e+05\n",
"mean 6.670221e+03\n",
"std 1.438467e+04\n",
"min 0.000000e+00\n",
"25% 3.400000e+03\n",
"50% 5.400000e+03\n",
"75% 8.249000e+03\n",
"max 3.008750e+06\n",
"Name: MonthlyIncome, dtype: float64"
]
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['MonthlyIncome'].describe()"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.0 1634\n",
"1.0 605\n",
"2.0 6\n",
"4.0 2\n",
"5.0 2\n",
"7.0 1\n",
"9.0 1\n",
"10.0 2\n",
"11.0 1\n",
"15.0 1\n",
"21.0 1\n",
"25.0 1\n",
"27.0 2\n",
"34.0 1\n",
"40.0 3\n",
"42.0 1\n",
"50.0 4\n",
"Name: MonthlyIncome, dtype: int64"
]
},
"execution_count": 38,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['MonthlyIncome'].value_counts().sort_index()[:50]"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.04039167686658507"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df[(df['MonthlyIncome']==0)]['SeriousDlqin2yrs'].mean()"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.02809917355371901"
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df[(df['MonthlyIncome']==1)]['SeriousDlqin2yrs'].mean()"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.08394869801787797"
]
},
"execution_count": 41,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df[(df['MonthlyIncome']>=750) & (df['MonthlyIncome']<=1250)]['SeriousDlqin2yrs'].mean()"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.028985507246376812"
]
},
"execution_count": 42,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df[(df['MonthlyIncome']>=1) & (df['MonthlyIncome']<=15)]['SeriousDlqin2yrs'].mean()"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.08727178780571822"
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df[(df['MonthlyIncome']>=16) & (df['MonthlyIncome']<=5400)]['SeriousDlqin2yrs'].mean()"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.060808575398663404"
]
},
"execution_count": 44,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df[(df['MonthlyIncome']>=5400) & (df['MonthlyIncome']<=8249)]['SeriousDlqin2yrs'].mean()"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.046255653099228515"
]
},
"execution_count": 45,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df[(df['MonthlyIncome']>=8249)]['SeriousDlqin2yrs'].mean()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"It's probably best to leave these values as they are. While for example 1000 might have mistakenly been entered as 1, overall the non-zero low income observations have very low delinquincy rates, and it would be unwise to make any assumptions. The \"1\" can mean anything: unknown income, 0 income, people with trust funds, people with non traditional incomes, etc. But they are a very small group (605) with an exceptionall low rate of serious delinquency.\n",
"\n",
"From monthly income and debt ratio, we can determine the monthly payments. This could be extremely valuable, since people with the same debt ratio may be in vastly different economic situations. Imagine 3 cases with a 1.0 debt ratio:\n",
"\n",
"\n",
"- \\$200 income, \\$200 payment
\n",
"- \\$2000 income, \\$2000 payment
\n",
"- \\$20000 income, \\$20000 payment
\n",
"
\n",
"\n",
"The first case seems like a college student with a part time job and limited expenses, but who has their room and board covered by their parents. The second case could be a working class person struggling to make ends meet, while the third case could be someone with a high income who is borrowing for investment purposes, has a gambling problem, or got hit with a nasty divorce settlement. Each person has their own distinct challenges when it comes to repaying their loans. Consider a situation where all three lose their jobs: the third person is going to have the most to make up for.\n",
"\n",
"These values can also interact with age: for the first case, the person being 21 or 22 would be a vastly different situation than if it was a 50 year old. In short, the separate dollar amounts can give us different information than the ratios."
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"payments = []\n",
"for i in range(len(df)):\n",
" if df['MonthlyIncome'].iloc[i] >= 0:\n",
" payments.append(df['MonthlyIncome'].iloc[i] * df['DebtRatio'].iloc[i])\n",
" else:\n",
" payments.append(df['DebtRatio'].iloc[i])"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"df['MonthlyPayments']=payments"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" SeriousDlqin2yrs | \n",
" RevolvingUtilizationOfUnsecuredLines | \n",
" age | \n",
" NumberOfTime30-59DaysPastDueNotWorse | \n",
" DebtRatio | \n",
" MonthlyIncome | \n",
" NumberOfOpenCreditLinesAndLoans | \n",
" NumberOfTimes90DaysLate | \n",
" NumberRealEstateLoansOrLines | \n",
" NumberOfTime60-89DaysPastDueNotWorse | \n",
" NumberOfDependents | \n",
" MonthlyPayments | \n",
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" SeriousDlqin2yrs RevolvingUtilizationOfUnsecuredLines age \\\n",
"1 1 0.766127 45 \n",
"2 0 0.957151 40 \n",
"3 0 0.658180 38 \n",
"4 0 0.233810 30 \n",
"5 0 0.907239 49 \n",
"\n",
" NumberOfTime30-59DaysPastDueNotWorse DebtRatio MonthlyIncome \\\n",
"1 2.0 0.802982 9120.0 \n",
"2 0.0 0.121876 2600.0 \n",
"3 1.0 0.085113 3042.0 \n",
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"\n",
" NumberOfOpenCreditLinesAndLoans NumberOfTimes90DaysLate \\\n",
"1 13 0.0 \n",
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"3 2 1.0 \n",
"4 5 0.0 \n",
"5 7 0.0 \n",
"\n",
" NumberRealEstateLoansOrLines NumberOfTime60-89DaysPastDueNotWorse \\\n",
"1 6.0 0.0 \n",
"2 0.0 0.0 \n",
"3 0.0 0.0 \n",
"4 0.0 0.0 \n",
"5 1.0 0.0 \n",
"\n",
" NumberOfDependents MonthlyPayments \n",
"1 2.0 7323.197016 \n",
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"3 0.0 258.914887 \n",
"4 0.0 118.963951 \n",
"5 0.0 1584.975094 "
]
},
"execution_count": 53,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"count 150000.000000\n",
"mean 2029.675384\n",
"std 4210.622764\n",
"min 0.000000\n",
"25% 510.744628\n",
"50% 1528.901456\n",
"75% 2787.698312\n",
"max 478450.559160\n",
"Name: MonthlyPayments, dtype: float64"
]
},
"execution_count": 54,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['MonthlyPayments'].describe()"
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {},
"outputs": [
{
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" SeriousDlqin2yrs | \n",
" RevolvingUtilizationOfUnsecuredLines | \n",
" age | \n",
" NumberOfTime30-59DaysPastDueNotWorse | \n",
" DebtRatio | \n",
" MonthlyIncome | \n",
" NumberOfOpenCreditLinesAndLoans | \n",
" NumberOfTimes90DaysLate | \n",
" NumberRealEstateLoansOrLines | \n",
" NumberOfTime60-89DaysPastDueNotWorse | \n",
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" 4.0 | \n",
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\n",
" \n",
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" 44 | \n",
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\n",
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\n",
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"text/plain": [
" SeriousDlqin2yrs RevolvingUtilizationOfUnsecuredLines age \\\n",
"32535 0 0.067454 76 \n",
"34110 0 0.000000 63 \n",
"36601 0 0.001782 65 \n",
"50217 0 0.340559 63 \n",
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"\n",
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"32535 0.0 44.173674 5993.0 \n",
"34110 5.0 30.326467 8300.0 \n",
"36601 0.0 326442.000000 NaN \n",
"50217 0.0 28.171455 15000.0 \n",
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"59910 0.0 35.440782 13500.0 \n",
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"95478 0.0 8.852703 33333.0 \n",
"127048 1.0 307001.000000 NaN \n",
"139095 2.0 28.632287 12487.0 \n",
"\n",
" NumberOfOpenCreditLinesAndLoans NumberOfTimes90DaysLate \\\n",
"32535 16 0.0 \n",
"34110 16 1.0 \n",
"36601 6 0.0 \n",
"50217 14 0.0 \n",
"55487 14 0.0 \n",
"59910 11 0.0 \n",
"60153 9 0.0 \n",
"95478 8 0.0 \n",
"127048 16 0.0 \n",
"139095 9 0.0 \n",
"\n",
" NumberRealEstateLoansOrLines NumberOfTime60-89DaysPastDueNotWorse \\\n",
"32535 0.0 0.0 \n",
"34110 2.0 1.0 \n",
"36601 1.0 0.0 \n",
"50217 4.0 0.0 \n",
"55487 0.0 0.0 \n",
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"60153 3.0 0.0 \n",
"95478 0.0 0.0 \n",
"127048 4.0 0.0 \n",
"139095 1.0 1.0 \n",
"\n",
" NumberOfDependents MonthlyPayments \n",
"32535 1.0 264732.826304 \n",
"34110 0.0 251709.673527 \n",
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]
},
"execution_count": 55,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df[df['MonthlyPayments']>250000]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Monthly Income Prediction\n",
"We need to estimate the missing values. If we had education data, we could fit a Mincer human capital model. But let's see what we can do with what we have.\n",
"\n",
"Log-wages should be useful (but set the 0s to the lowest non-zero amount, 1, to avoid the log 0 problem). We could also do +1 logs."
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"count 1.202690e+05\n",
"mean 6.670221e+03\n",
"std 1.438467e+04\n",
"min 0.000000e+00\n",
"25% 3.400000e+03\n",
"50% 5.400000e+03\n",
"75% 8.249000e+03\n",
"max 3.008750e+06\n",
"Name: MonthlyIncome, dtype: float64"
]
},
"execution_count": 56,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['MonthlyIncome'].describe()"
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.0 1634\n",
"1.0 605\n",
"2.0 6\n",
"4.0 2\n",
"5.0 2\n",
"7.0 1\n",
"9.0 1\n",
"10.0 2\n",
"11.0 1\n",
"15.0 1\n",
"Name: MonthlyIncome, dtype: int64"
]
},
"execution_count": 57,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['MonthlyIncome'].value_counts().sort_index()[:20]"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# Since log 1 is 0 and we're \"setting\" all 0 values to 1 anyway, this code is effectively the same as that\n",
"# without prematurely filling in the missing values with 0. A win-win-win\n",
"# Also do the same to the monthly payments\n",
"df['logMI'] = [np.log(v) if v > 0 else v for v in df['MonthlyIncome']]\n",
"df['logMP'] = [np.log(v) if v > 0 else v for v in df['MonthlyPayments']]"
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5,1,'Log payment histogram')"
]
},
"execution_count": 59,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig,ax = plt.subplots(1,2,figsize=(12,6))\n",
"plt.subplot(1,2,1)\n",
"df['logMI'].hist(bins=100)\n",
"plt.ylabel('freq')\n",
"plt.xlabel('log wage')\n",
"plt.title('Log wage histogram')\n",
"\n",
"plt.subplot(1,2,2)\n",
"df['logMP'].hist(bins=100)\n",
"plt.ylabel('freq')\n",
"plt.xlabel('log payment')\n",
"plt.title('Log payment histogram')\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Ignoring the 0s, there is something very \"normal\" looing about log wages, which should not be shocking to anyone in a dataset of this size. Log payment is negatively skewed. In any case, the log transformations make these datum much more manageable."
]
},
{
"cell_type": "code",
"execution_count": 60,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"train = df[df['logMI'].isnull() == False]\n",
"test = df[df['logMI'].isnull()]"
]
},
{
"cell_type": "code",
"execution_count": 61,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"X_train = train.drop(['MonthlyIncome','logMI','SeriousDlqin2yrs','MonthlyPayments','logMP'], axis=1)\n",
"y_train = train['logMI']\n",
"X_test = test.drop(['MonthlyIncome','logMI','SeriousDlqin2yrs','MonthlyPayments','logMP'], axis=1)"
]
},
{
"cell_type": "code",
"execution_count": 62,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" RevolvingUtilizationOfUnsecuredLines | \n",
" age | \n",
" NumberOfTime30-59DaysPastDueNotWorse | \n",
" DebtRatio | \n",
" NumberOfOpenCreditLinesAndLoans | \n",
" NumberOfTimes90DaysLate | \n",
" NumberRealEstateLoansOrLines | \n",
" NumberOfTime60-89DaysPastDueNotWorse | \n",
" NumberOfDependents | \n",
"
\n",
" \n",
" \n",
" \n",
" 1 | \n",
" 0.766127 | \n",
" 45 | \n",
" 2.0 | \n",
" 0.802982 | \n",
" 13 | \n",
" 0.0 | \n",
" 6.0 | \n",
" 0.0 | \n",
" 2.0 | \n",
"
\n",
" \n",
" 2 | \n",
" 0.957151 | \n",
" 40 | \n",
" 0.0 | \n",
" 0.121876 | \n",
" 4 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 1.0 | \n",
"
\n",
" \n",
" 3 | \n",
" 0.658180 | \n",
" 38 | \n",
" 1.0 | \n",
" 0.085113 | \n",
" 2 | \n",
" 1.0 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 0.0 | \n",
"
\n",
" \n",
" 4 | \n",
" 0.233810 | \n",
" 30 | \n",
" 0.0 | \n",
" 0.036050 | \n",
" 5 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 0.0 | \n",
" 0.0 | \n",
"
\n",
" \n",
" 5 | \n",
" 0.907239 | \n",
" 49 | \n",
" 1.0 | \n",
" 0.024926 | \n",
" 7 | \n",
" 0.0 | \n",
" 1.0 | \n",
" 0.0 | \n",
" 0.0 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" RevolvingUtilizationOfUnsecuredLines age \\\n",
"1 0.766127 45 \n",
"2 0.957151 40 \n",
"3 0.658180 38 \n",
"4 0.233810 30 \n",
"5 0.907239 49 \n",
"\n",
" NumberOfTime30-59DaysPastDueNotWorse DebtRatio \\\n",
"1 2.0 0.802982 \n",
"2 0.0 0.121876 \n",
"3 1.0 0.085113 \n",
"4 0.0 0.036050 \n",
"5 1.0 0.024926 \n",
"\n",
" NumberOfOpenCreditLinesAndLoans NumberOfTimes90DaysLate \\\n",
"1 13 0.0 \n",
"2 4 0.0 \n",
"3 2 1.0 \n",
"4 5 0.0 \n",
"5 7 0.0 \n",
"\n",
" NumberRealEstateLoansOrLines NumberOfTime60-89DaysPastDueNotWorse \\\n",
"1 6.0 0.0 \n",
"2 0.0 0.0 \n",
"3 0.0 0.0 \n",
"4 0.0 0.0 \n",
"5 1.0 0.0 \n",
"\n",
" NumberOfDependents \n",
"1 2.0 \n",
"2 1.0 \n",
"3 0.0 \n",
"4 0.0 \n",
"5 0.0 "
]
},
"execution_count": 62,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"X_train.head()"
]
},
{
"cell_type": "code",
"execution_count": 63,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"grad=GradientBoostingRegressor(learning_rate=0.05,n_estimators=350)"
]
},
{
"cell_type": "code",
"execution_count": 64,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"pred = cross_val_predict(grad,X_train,y_train,cv=10)"
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.830278507411\n",
"0.311218624232\n"
]
}
],
"source": [
"print(r2_score(y_train,pred))\n",
"print(mean_squared_error(y_train,pred))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's fill in the missing incomes."
]
},
{
"cell_type": "code",
"execution_count": 66,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"grad.fit(X_train,y_train)\n",
"test_pred = grad.predict(X_test)"
]
},
{
"cell_type": "code",
"execution_count": 67,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"df.loc[df['logMI'].isnull(),'logMI'] = test_pred"
]
},
{
"cell_type": "code",
"execution_count": 68,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"Int64Index: 150000 entries, 1 to 150000\n",
"Data columns (total 14 columns):\n",
"SeriousDlqin2yrs 150000 non-null int64\n",
"RevolvingUtilizationOfUnsecuredLines 150000 non-null float64\n",
"age 150000 non-null int64\n",
"NumberOfTime30-59DaysPastDueNotWorse 150000 non-null float64\n",
"DebtRatio 150000 non-null float64\n",
"MonthlyIncome 120269 non-null float64\n",
"NumberOfOpenCreditLinesAndLoans 150000 non-null int64\n",
"NumberOfTimes90DaysLate 150000 non-null float64\n",
"NumberRealEstateLoansOrLines 150000 non-null float64\n",
"NumberOfTime60-89DaysPastDueNotWorse 150000 non-null float64\n",
"NumberOfDependents 150000 non-null float64\n",
"MonthlyPayments 150000 non-null float64\n",
"logMI 150000 non-null float64\n",
"logMP 150000 non-null float64\n",
"dtypes: float64(11), int64(3)\n",
"memory usage: 17.2 MB\n"
]
}
],
"source": [
"df.info()"
]
},
{
"cell_type": "code",
"execution_count": 69,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"df.to_csv('cs-trainmod.csv')"
]
},
{
"cell_type": "code",
"execution_count": 70,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"features = ['RevolvingUtilizationOfUnsecuredLines','age','NumberOfTime30-59DaysPastDueNotWorse',\n",
" 'NumberOfOpenCreditLinesAndLoans','NumberOfTimes90DaysLate','NumberRealEstateLoansOrLines',\n",
" 'NumberOfTime60-89DaysPastDueNotWorse','NumberOfDependents','logMI','logMP']"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"## t-SNE and PCA Visualization\n",
"\n",
"Let's transform n dimensions into 2. t-SNE emphasizes placing similar features near each other, as opposed to methods like PCA which focus on maximizing variance/separating differences. We can see that t-SNE will cluster a large number of features related to delinquency together."
]
},
{
"cell_type": "code",
"execution_count": 71,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"X = df[features]\n",
"y = df['SeriousDlqin2yrs']\n",
"\n",
"sns.set(rc={'figure.figsize':(12,12)})"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### t-SNE"
]
},
{
"cell_type": "code",
"execution_count": 145,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 145,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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GtPx9d8Xa3a7tLgRaZ3hbrPYy/kqImKEfeo/6YkFV38yGdcXkxIVWuCPfCzBt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aWu+LZ7lVYickUXgVpq1PaKd4snfFudIoUgxEgfPU4ojK756wOEfsRDg8HvcwWqxmJ18owvgXLS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Na90eGzxP8cT0xwbYUygh+Hq5P2rmD/r4kCPPmvVRdvCpLfC17siAig4fI5nMoA1TgJgjQggG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syW15AzIsNJDKOJNSEyiFzacZ3SvKwbNsYShWARAg/7liglV7ai8Y5j54gIrkxNlpLGBQR5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QGI+2mYrITVGyspbaWQoZ6LRO0ZFCcjYOvCwlL+sV6ygwCNZDiwiOfVkyIHk09HRKEKTk\ndVGxL8okR5Gav3f+bCa7Go9CUamCzo8f3Njfl+iI+U8aVJLePCAQFAjSSJOkOu/C8WnHXhvOxoH1\nOPK82wOSKpeMFQg6nQrCNnag8pZ/4rMfIIDPqoYXVYMXcm7NvU/o0+MDi8dHWMX/n703+ZEs2/O8\nPud3zrmTmfkQU+Z7+fLVq2qKEBKwAAlYIMEWlkhICKnFojawQvSiVyCxpRe1ZVULBEtALJD4AxgW\nvQREd1R30VVvysgYPNzdzO5wRhbnmrl5hEcO5HvZnS/vN5XySHOb7jGL1Pf8zneoSTmRtObl6oyf\n7a6RlFFk3tYNQqYOgSwlbWfSmvqkcfeGsiF5Og28AWqVeLLfzr0FihujGbVBUT6jPP9zkK1kIMZM\nyrA2lpAjOWcubfeVLamHOMgDDpKbcdoB6ti5cO1H9tFBzqxNg6iy8boA3rjdcbKvEK78Hp/jRzcS\n779+o+FJtT6S7kYs+zixMc2R6GuEP+4ef2sifioZ+rZa/wULFixY8P1jJvDfhcTfw4sXLxLwH3/b\nxy2k/g8QhRwpKjFsTM2QAvtQ5CqCotUWq8p02ROplMGIxsyi4ASkXDJxau94NPWMJDYhoHLk0keg\nZtAayNQZftOuy+MocpJRm6PExqDJJM78xMtZDnI67X5dt1z66TihNrnc/qZtqYOhTaXN9WC0dXM8\nZm8sv+xW3HhLCo6nYyaI0GvDzlqS0uhUJDg3tiZImdCfkt2S6BOIsVz7QVb0fkzn+7r4A/L8byIx\nJM9GNJUYPBGjLBtTcesndmn66NT+VNYzasOgA7+YenSGKLC1FWfeoVOEkHHakFKkiZ5/+fo1vbG8\nbDre1S3XVc2oDTZ/fBNRjL4wJs9m2uFTQpmK0Vjq4FEpkRT8sjtjPZ+2HD7LQweCzsXgfDixab1j\nsjXHvKUEZy5wXR3y9BWBhJ63P4dTkUBiSBMplFONJ9WaL6ZtKWKaZTPvE9qHdOiNtpybhkAi5swX\n4/WxtKm8TiTExOvptkR6nnQF1PO1Hcy3X0eeD6/fzGk1dwubuQ0TTgKVGJ7V62+l1T/F+xv1BQsW\nLFiw4OuwkPo/QBilWVvLNhlEKVYCalTEWV98bhpEzUVBs9k2kEk5s9IVzSxVUEpxNvR0piIHWMdI\nFTySI+vg+U27YdKGVmleYRnxCCWL/kCOC4EsQXwb74HdkSgf0mC64LE5HSMgg5JitKVoryfRNBSt\nfRcDt7Y6SnjiPPkNokhSCo4y0IuhzglnDFd1y+s5ivFt/aGXpURUHiRBkXr2HzQxHNNrguzvTb8/\nRvr3wdFpSyOluXeja95O+w9e84DD8zQxUMfANBPMna0YjeHMO0yWOXI0Y3LmVmvW3hPmBByTEqvg\n+SvuojM/ZmA+veaQEkRfEooS7LVlUIo0f27vE3kopypVjCjFMd7TpsSTceBv1sLtfNJwwCr4Uspl\n6/l5M8Ld5on5toP5ehtGQk6M0bE2DVoptqG6N0F/SIfuU+Ct7/Hz9/nGTyQyldyl5hgRfM64FI9x\nlKek/JD9/nV46PUPG4/PvvbRCxYsWLBgwe8HC6n/A8Ta1FzYjiEGdmHC1hoVwWpDo8ysuR9mo6mA\nUqy1xsdCv31OJYlEV6xFSmmQn6j8hFAMiE1KPAqOd8BgKrQCnWcSL1KaagHImBh4NA1svOdt087R\nmuZelOVvug1BCed+YmvvDJiHFljJmVtb0YvB5IyfM+WfTCNN9CUPH2EV3Kzb1zhVWmxHUz84bT+I\nkDRmFskoFIZHfs8qBs7c3XTdpMTn/ZbBWNrg7xVl7Yw9kujJQMRQicKKoU+O8BFt/WnG/+nJBhRT\nrAllQQOKQRvq5JGUOJ9G6jn3P8/XYVLi06Fnbyuo21Io9hXQSBHDiEbl4okYTMXKlQn2YdM0asNV\n1WBzws4tuzYnstKzwTgfF3MdPG/q9l6UJ3DcvN1BHc3Wd9Kl8mlc+T3nZDpjgUzMmW0YsZPm592j\nu7U7mWT30fFX+1usCD6W1S4nMImQ1b2JdzWn0jTaMMbAPk6M0XNhWs6r9htnvz80SX/rdryadrj0\n3Sf1CxYsWLBgwbfFQur/ANHpil90jwHFteuRWtPFCquFn9YXbONEv/cM0dMYg1EGnyJTCqx1TSeW\nMQd2YURiEcqufAAAIABJREFUgOS5HLZI9GyCI4kwaAsoNjHwpqrISqiVJaYEyvJ0usXkjErF5Ln2\nEzmX6MrHSnhXVUTRPJ4GXrYrbm3NP9lc3F1D8PxL716hcwal8EqxCp4z77i1Fb/uNlx4j0HYhEDU\nhpumJUxQpcgomp1t+UeXT9iZCp/DB8S6yJHKpNiIkHJpF63SnLX/HkxKPBv2XJxKhVI5YbiuiqTo\nlbHEFFnbVWn/lKIp5wFa/1DG/2EjszeWSzcVM7IISSnOXCZbRR0jikwTI0EEiQGvFE0MVDEiFEnP\nV6Ho/oXbquGxGxAy3lpuqGmDZ2/sBxshAfbNmj999+Wsjr/D1tjjmpxuULzIvcdrBKsFF+PJVmcm\n+ErhUsDMGfanuA0fJjcdsAsTMedjtv0UAytt6aOnEo2R8nxWNK1YNELMd9r+SOI6DDyqVt+oeOoU\nB8nO22nHXw9vcTkSUiLnzF9py5+unvF5d7lIaRYsWLBgwe8dC6n/A8Xjak2rK3ZhYnPRsL0e0UoR\ncyZNiY1pqMVg5olszuW2VlvWtmE/3vJ26nmnIj8dd7SuJyvFYCx1jJhcZBfbpiOkzLPpFkml3dbk\nVKa+wfE0JCQ6qhjZzfGSbQxc7id+26xwWn9QQHX4uTeW1Apr73jsRiSXMqmoFF0MbGIm2QabQIkw\nKhiaFZnM6/aMTGKrDTGXpJWHBCnFB1AIqlKlYMuJQqUPp+tB5B6hP8V6lpkoSuPumAK1tlzoBo3C\nBs8nw55nY08b/bGB9mpukwWYAz3x2rLVNUyexIQNgSZFglJ4JdRzcozOGRUjSjLe2LKJUprresVg\nPj5xPsiNBMWgLdc1XIZI7XpUDOyM/SBfX6OwaHqd2ZmKT4cdVcqMonjTtIy6fnAjdNhcKIopu9MV\nSTIuJoTi8VBz2hIZjDLHSfqH7/phhByP3+1aSva8cMmXbksjls5UCIpGG8500d1f2pbboBhmbX0r\nltW3NKP20fHFeMMQPX+5/ZKbWdKjRTBKcCHyN8Nb1vMaLMR+wYIFCxb8PrGQ+j9gHCQCT9cbXg/b\n4+1rU88FPsPcDltMsStbYSnm15AjUw4kbZhE4ZWhkkRQlqGt0LYlJE8Q4dKVHPWYM2e+R1JiWzXc\nGsMT7+imQJU8k8gsm3G0IfCTnHnbtDSxkJ7TmMSdrfHa0MaIyfleG+7eViTARMdoa9AalQ7ZKkWa\nk0l40fM0OCMI6SMymEgiJIVRQsiJa2t5ehIteXxdY1mFcs3va9YPUhyFwiiNFeHCtFgtrGPkst/y\nbOx5NI00KSKpqMi7EPj1akPQljZGurmoKzRn7NoVMkbaDDeiEJOJSsgonrmhvF7OeCU40fxqteKm\nWeFMTUUmnFzxQaZTCL2iEk1KiUhiJ5aVipy7ido7nuQBJ4atMfxq9hEc1rYLnjR/PodpfRMjozb8\nstscZTrvT/k1ipWu+by7xEnki901ISa0lkKodY3VGqOES9sWkn+Cjfl4MZ9Rmk5XR508wNrWyNy1\noOAoh4k589vxhkoMZ6ahUsXaS1Z8MVzPz5E5M+3XRly+nnbH17yNI4mMzxGTFGaOtrx2ZbP6TQy4\nCxYsWLBgwXfBQup/hOh0xaf1OaKEPjgycGYSKWWyykxzhKIWwWZB6Yov1xecufFIEW305BwwHpro\n0SkzCdTe47TmbOpJSggpQI5EiqTGqaKFT0qoU2TjJv7VoQcyN7aejaJFbx+V4bYqLbPkotXvtTkS\nxb3WhBToTcNq2gFl8r43lkxmZ+t5DqwQhPgRUl8elwi5kN7JVPyy2/D5iW5+byyjNkcT74WbjgKR\nBCQRRtuh0bTa4lLkyu/wU2TletbB82Qm9WXLoQgiPJ4GJlOR1x1rHwliGKsV2Rp+HStWqSHWwrmb\nuHATOif6quImR5oYIWf2tuZ10zKaCidCntU+5drzLP8pk3KlysSarJhUIOVEFx0/22/R3h03FVWM\nQObns4/AmwqF4iw4vK7YV0ITJkhFAuSVPBihCdAqgxbD03rNL7pH6EZzoTrM7AkIORJyQlCcmYZG\n1wzBH2MrO1NjlOLVtP3AmAplk3q472mx1PPNsw807X10aKUYoi9xl4BPEZ8iuzihRFGL+UYRl6eb\niOP3KGdC5nDscjxg+CYG3AULFixY8MNE/PM/e8R7OfX67/zFd464fP78+b8O/FcvXrz4t7/J/RdS\n/yPFylTUwZB0xqWAzprXcUelNGMKTCmQ5mmyVyDGFL21n1Ax4bRiJ4aVH49RljZBl2Y5QwzcVDU7\nrdkoRRTDKJpzP5EQvFKonGljabsFCErzbOx51XQ4Xcyr0dS8rdt7U/PD1H5rK/a2JvmAyzVV9Oy1\nZjdLR5wxc8/pgdRqEpHAYWLNkfAejKO1GFwKXDUdg7EfJNwAPJ0GdhVcxNL46oCX6wti1bL2I594\nj4oBL8JoDZ13fNrv+KzflWZYEVBF+7+bjbfMJwCDbRDbkqJnEMMGYRJh0IbKRHQu0/JeW26qhqgU\nO1OScgZtuLEVWqlyjTmjKZryjNBI2d4kyuZNoahEeOoyNieaGO6daNQxMIo+egUgUaeEEkXUDTfG\n4PJBmf4hDk2ztVhqbXhsV3S64ufnj3mS18cW2D56puhptKHTNYLiTZiOpVEa4bXbsTENjbb4HI+R\nlqeG1W+S697pip825/zD7ZfHzz2qcr2HqMuDNv/rIy7vtogbXXMdRkSpe/aJczv3IXxDA+6CBQsW\nLPhhYSb0p42yLfDH8c//jO9C7J8/f/53gb8NfDxC7z0spP5HiD46xhTQCGP0x6KcKQS+DFv64GZJ\nQiHr74zlmZvYa2GnmmMeYU4em+7LVHptaEMo02LAieZt3dLGQFIlxeU3bcOn454meOpUJs5ehElr\nujlG8kobnGi2VSG4j6fhmDRz0KDfzo24o6mhXd1LmSkUKmNEUam7uq0pCyndab8TGYPGiiaSqZQh\nqkTK+YOiqQOuEQiOmMHammtt2RlL7SeeOYdWgssRkxKf7UfaqadJAZUphU4xMmmNV2Vb8a6uoSnF\nXLUYWrEMyaMUeGN4W9W8qVvO3chn/Y4nwVPFQBDhpmq4rWqcaIIIV9YQUkIrwUg5NbiImUchYLPn\nJgfeaMNoKpQCUUKdIYqmSQEbQ8mpF2GcPzs7b+4UiUEp6pxIORDynVn2Y2k7BkWrKx5XLX+6fsY/\nv/mEp+cb/mZ4e8x6x+3n5uLSDjtEz5lt0Ep4VK24cuX/Z0P09yIoD4T7QL4fmuKffudP73NZdfNU\nPXLrJ5IUk/TpWc7XRVyemZYrX97bJ80GP+bSB6EyRhX/wOdNMX9/WwPuggULFiz4weDTr7j9u0zr\n/wr494D/9ps+YCH1P0LsQkldiSTObNEqX/meXZqIJEQgZUVUmZQSo625FcvaT5AdUWuujWU1xmMD\n6gFONBgYpeSXSC5tsE406+CwKfJk7DlzEzZGnNYlv3wuvtIpYWYSGQUGW3NrLnnZrh7MhdeUltD3\n020OVCymTFAl8V6LoOaNyoHkK+4MmLWUXH+V1HvZLvdxazR70xUCqWtQxbR64adCxPNdY+oqOBLl\nFCKIYh0CkjM2Jd7O/oFrW9OJYpM157pBi6ZJnjEGbkyDInPuRj4d+5LsYwzXVX2Mndx4x7uq5pfd\nOXtjuQiey+BZoWiU0KSMaVYYqWmypQkjX5LY2uKfGFSmRdGkOLuJFaREnSEoNXsFypq+tYan0/CB\nbfX9tJ0ypVcYETpTpuev3Y71WOP3ZX0aMfxquObXwzsExWXVsTHNkUjHnO/9fJ9gHyb9p0VU70/x\ngQfvE3Oi0xWN7tBKeOdKGo6cXJlW6isn7E/qNX5+D2vT8vNWmFKgQqNFc24aHtfrpQ12wYIFC/6w\n8THT18fNYN8AL168+B+eP3/+i2/zmIXU/wjxPmkCuJr6EiOYgaxmsqwwWrPSNU1T4VOJFhyTZ0qR\nSgQw93LJdU5Mormtah5NAyZlnNZoIlWKTKKpU8Rpg0nFvtlrAwoupwGnNVUqzbFfthtCCrybU3c+\n1uga55z1hxBJZUIuihjT3GpaCGqRPhcy5xKsdc0Qi5b7qxTQpVAro3ImEDEIK205l4qYIykFQorE\nDCl5ktJc24pnSlGliE2JrGAMwlsabmzFToQulGhF7Scuxz1Ppp5rY9irzJOxRwCTSvoMFMLtdZmm\nH5pyu+A5mwYymkkUZ+NEBUQlbI2hnVtQV2Fga1e4FHmjhWcpclV1PBu22BBICq6qppRa2fq4xemN\n5S3F5yCz32A7b7AOdLik2pQEmFYqYs68nG7YR1fMtQ2Mo2dKAchsTEMiMSbPW7dDVGk31oeN3pxs\n8z7BNkofN6jv41Q289B9Ol0dJ/+drui1o4/uXupOp6sPJuzvT/wvbHvciBh1vhD4BQsWLPjxYaRI\nbh66/XvFQup/hDBK409iAAHGVAhXzIk0ywdMKiTqouqoleEm9WQOEZCJW1vzeBqOueRNDFy4iZuq\nPkpk2lQm6DZHghK80dQuMmiNSUWiksSQULQxEEXwSiMZzpRh5T3JaK6laN7b4FmfTOx72xyjMh/C\nIf9cKyEKqJTmnto8Xwtz3k9mSJ5hXoeHk+XvcGjK7QN0xuJzIosmhlC0+rMJNCohSmKVIpq5pTV7\nsiobpzDHc/YxktZPaPtrNsOWyjt22hAVfOKm42T/FFGEG1ukOQec+Wlubo2kBCE4gmhqPzLZTdm0\npEROjpBaYiqxn9dGo4JhsC2TCUwoeqNLTwD3G3SjCFvbsjV69iUUJf5hvQ9rqtFklenDhCh1TIf5\nJ7s37HtHTIm1qdGooy5/jIHVHMd52iC7DSOtvr+pW5ual2PZLBzMsXo2RKf5fa9N/aCEptFlE2KV\nRmn4SX3OmDwule3eQ+k3D038fYZL2y1EfsGCBQt+vHjJfU396e3fKxZS/yPE2tS88/2RLE0pEHMu\nKTEKQog4FdEoKjGknJlyAKVotcWngOMuU/5A9uoYuD4h9EkV0ulFUAGexBFJiSpF3lUt+znLvjSV\nGiat+aJb40RjEC5yYtI1n+fMoDSVn7iYRgRFQqFTop56Au83lt5BzacPUyzRhQ+ZOg8SnH0cCd9i\nHQ8bHJ8TJifeasOnKdGnjMnld3tjiTnxx9Pdhj2IPl7vxhd9f+dHxqrB7TNZG7SCLmceTQNn04hJ\npWAKYBU8OmeiUmzn6z5o2m1KxxZekxJdcESl2efE1toSU5oSo8A+uaOZdao7Qgi8Mpac0xx1mgki\nfDLsj1IfKBKp82lPoGU0FosizEbjRkyZqosgWRFSKn8GYkrsg8MGw40bqI0hUk5ZLMXTEMnUovlJ\nc37UtG9Mw4Vtj/990M0D9NETZ7nTIdGm0xUrXR+lODEl9AOa/7VpeFZvvvHn/U1OBRYsWLBgwY8L\n+u/8xVX88z+D30P6zbfF90rqnz9/3gL/HfAM2AL/0YsXL14/cL9/DvifXrx48S9+n+/vx4LTtBAF\nvJp2XJiGl9MWozRaIpJLvuNKW0QpWjFAppKSKBNdIfofM5NCKWsyKbEKnjYEyHlOf9ElwcVY3jQd\nZLipaqoUiyYfMEqxQhGUoOJEpWueTSNZaZRSxFTOCwKJMz/RG3tvmuxF2NsaZ4r5MX2E0JeJe/po\nOdVXIQOBBNGjUVwJnK3OqMY9q5TYq8y7ZsM+Tvwrr39DUAqnNPvKEmeC3qYyRVYpsPUDF9HTeMd6\n6lkHh1dgM6CER9NIbww6Z0xKNGSejAMZ+MebSwBW3vGzYYeeJ+qSIk/CyN5MOKXwRjNqwzvbzgn+\nkEm8Fs0nuRhsPUUPHyn9AOd+4m394cniYd3TfH9UOQPptKESgxGNjxEjQsiRMXl+PV6zSjU+BQiw\nx1GJRotwPptjn9VnH0RRwn3pyy5MjNHTass2lDUc5yKpMQaenDz+Yycu39a8+jHT7BJXuWDBggU/\nbswE/ndO4l+8ePHXwL/xTe//fU/q/xPg/3rx4sV/+fz58/8A+M+B//T0Ds+fP//b821Pvuf39qPC\nIQqwTCoVbpbJ3ISxtKoSaXSJIvQpknOiUoaLqmOyAaVK+Y7LkSY4Nn46tsIeMt0PJlqbIoM2tFrT\nhXDUhJsUGXRDyhnJiTYEWhWYtMHYCpmTUIYMtWhWwC2ZmMqMXM2yDZsSXfDH14diHv1s2LMzlr1t\nuLUVtw/IdO4CL79abvNVODTSohTXIjSbC1RWTCnS+5GdirxuOi7dRFYByXfbh2HexEQRck7oFKmD\now6eREbN1xq4i8J0ItQpcGsqJlOSfR65kWdjzy92N6xCYNIa5nVxSggoJAXakHhTNR9sxHpjuao7\nHvkJi+CNYS8l3f/SjdhZP3+aPnQo4IokDAqtNBtT80l1xpA9dhqwU4+kQE/G1yt2pvgybBIqWyb1\nw/w8ZzRohCF6fjtelw3mLBHbhYl9nGZza4m1vPJ7NqZhYxqG6BmTn08GNEMsJyCNtqUIzHZfm5Dz\ndTjI1h66fcGCBQsWLPinje+b1P+bwN+b//y/AP/FA/d5B/xblCifBd8DbsPIbRhRonhcrei0ZUiB\nmBJGaSolaClm0Eo0l7bl0raM8ddkt2M9S0v2M4m/cBPXVdGPX1clAScp4XXTYWOkno2iO9PyjzeX\nPHIjF25i0IZNcFTJk3XNaBuMKFLVUYlFTE0dA312hfDONNyLcObvpBEHbb+mpM1MOvB4Cg/KdIQy\noZe5qOnbTuuhyHd8ilymxKNp4kxZ9iSCtbg5JPGXqzPq9A4h04VEQuFE87ItUZZbW3L2U85M2nBx\n6HDN4BB6Xdp4o1I4rbmuGpoYOHcTj+dSK5UTbYzUKbKKnggl8lMbruqWL+fXsiebCkXRy//J7oo/\n7vesw4SrOr5s1xgFZ5NnnLXsJqV7n+1B8pPJNCHwNIys1Mhlm1krcNOeKXqGFMoEP20Z6oYgLRvd\nzMlBmSEGUoZOKrTInKtfyp3euB0xZ65dTyLTaMtP63POqxajNH10PKrKdTViiVLiWfdx4q3b02o7\ny3e6byW1eQgH2dpDty9YsGDBggX/tPF7I/XPnz//M+A/e+/mL4Gb+c9b4Pz9x7148eJ/nh//jV7n\n8rLDmGVS9nV4+vRhQrP3E3XQNFim6HEp0ScPWtFay5N2Q6M1++A5Mw3ndYNLiSd2w1XuMe8Cu8rj\nQmAkH5NwHk0De2OZtDn+HPX9r5sXweZ0JP/ruYSqzZGmqgjrDdck3ikYwoDXmbO7ufhxsn4w7B5w\neJ5MxuaMQtBKcT7LReDO+FnNE+jbkwSXbzuxFxSr5HkWIpWxZJVopp6f9yMrBW912dCYnHgyDay9\nR8hsdcWvVme8rVty1dIZTbTCzeac8xyppgFIbLXmXVWxn99fFzyPppFuvs4qlWn6KnhubUVQQlDQ\nhcCNCGmOpTzgMGEHaIPnj7fv+Lzfo3NCRc/5/op6uOZNd8ZvV2eElFi7D9dXJ+Hz/S06JWxOBF3h\njCXkict+x1YbTFXhXWlsDSmy8uDWZ2y6lrOmYW1r+hhYGcvaNiQyIWdijrwd9uylbItylfEpMeWB\nmDJnbctP1ufcuIHLbsXrcceTas3WT9SimVKkwSKiebbegFF0TcXKfjcC/sSvuXHjceJ/XjXf+Tm/\nCz7293rBt8Oyjr8bLOv4u8Gyjr8b/BjX8fdG6l+8ePEXwF+c3vb8+fP/ETis8ga4/q6v8+7dh5Oz\nBffx9OmG16+3D/7u1bQlThmZFFs3FeNnDOQMAw4ThIu6YyUWHwIuBozSfGrO2NqRPl/hMbjZYnog\n7ucpcXOS1nI64T3AK+HzfntP2nFIcnmkO/am5tWwxefy3DdKGGzNysdZM16iIvuT5lfgWIZV0mdU\nUdNnoTpJcjlsAjKF5F5OAwk+6g84PO6hrHxBcTaVFajQpDDRTT0pZ+ockLqmI/FFu+ZN033weACb\nIjduoI2ZkBW/qjsuo6cJAZs8Z64YY/fGsvKOy2nAzicgkULsP7CCKqhjZDCW/cl1nRZFnfmJJ9OA\nSZEmFHdBL5YosJl6Qrtm0EKYI0rXwVPFyFXdcFW3RISLeU1uq+IOuh52qH5XTmfqijCvu1YKvEMj\nXO974hTRSkqMpO24zSP9LLGpxfDlsGUfpnmjdXeKEqY9fxVe87P2osRa+pHrcY9WwoaaK78v6U4I\njc6MeEY8OzV+52k9gEWw82r3vaPHfefn/P+Dr/p7veCbY1nH3w2WdfzdYFnH3w2+zTr+IZH/71t+\n878D/y7w94F/B/hfv+fXX/AeQo602mJEeFR17KIr+eEKLnRFrS1aKayUvPrLqsPOGuJGLL2pacPI\nPjhkDopcB39vMgygc+Kzfst11XBja25tRRfvsmbel3b0KhNjIhJJuUhRUobJCFuzRpAie5kT5U+n\n9QeDLsCtMTMZTMf3dJDqKLhHhM9OJvnv433Nvk3p+N/OKHSKOJVRQWHHHVMuFtTTtl2bEy/bDw2g\nUDYXPgWujOazfo/yEwEwc8urkcSgDTZGNmHC5ERCcCJUsUzKe9EkSqZ/HUtsKCi+bLp7m6nToqgq\nJZoYS/EUpTdAKdAZUs40YWLQZaOVVNmIrHEkJcfP63CNq+BxusLlRE9CosdlfUwXirl8NjE6Kmmp\nxBByZB8LKU65tLqOMeBj5Mrty+8ynNsGNZuLsyo+hiF6/mR1ftTG+xwZoye5u7MWfaJ3P5RVfVdt\n/YIFCxYsWPDPIr5vUv9fA//N8+fP/zfAAf8hwPPnz/8e8N+/ePHi73/P7+dHD6M0jYZGGzLgUuTS\ntKAyna65DRPBR16POx7VHVMKfFpveOcja1ujzj7FuQGjBsxc62RS4roqxPGgb49K2JnqmKJy5h1B\nhL2x/Gy/5dKXhtlBG/7J5pzX3QWWhCghcdcWqxAgo1Wh9SmX357Ga+6MZRX80bCrAIOwrToMijpl\n5EjnS4wi3JelvI9Tzf77t78yllFBlTJREjkG3NxbG+c4x4Oh92O4K3eqCDLgpWTp77TBiOBFY2Y5\nUVKaN3VLlRI6Z5JRqJDpTUVvyudYK7gxNbe2ZjA1FmESeHdyOgDFdDtqzbmbZkoPOSuSwK2x2DnX\nfzNLboBSEBYjbQyc+YmoFF7peV5dZDJ7Y2hCOmbWl99kdramionGmrnZtWzK9tGz9xPntjkmEpn5\nMw5ExhRoxKCVolEGq4RuLo6Comv/YrxhG8bjWkZSSd2ZS6a2vujsD5n2na6OxteF2C9YsGDBgh86\nvldS/+LFix749x+4/e8+cNun38ub+pHjLrO+Lpn081zbKmFMgZwTLmeMaCpliDnycrpFI+yi4zb0\n9FVNk1qMF65z4HXdEuep+PqEDJ5O7w8xiXUMrINHUqFiVUqce8ebaeC1CDEXyi0nM3WFohZNzpCz\nkGZafojXfNnel8o4Eba2w5kalQNRNJISzHbbA7x8mGV+0NgfCPlpUo6CeYOg6G1DPQ2FqIpCpXK6\nsJ0jH0+f/yEZz3Ak2gmdApmMzFP0IHOzairRm14pohLcyfR9Es8w+xY0mS+qGieabVWXkqq6Y2sM\nfn43h/ew8Y6o1HHjkckIMIrlt92avalwUjoBgghBKS6ngUs3kUQYRXNVN2y840bqY3GX0xWvqhqb\nE2qO17y1DdFUWIFGKsbkufXFZG11OXlxKeBSpDGWzlSgFPv5PjEnntZnXNiWx9WatbmTd3W6wiiN\nUZpWG8YYqLWhFkM/nwTs4nRsqY05sw3leXdqyZlfsGDBggU/fCzlUz9yHMhMSKkke2TFlBy7nBiC\nxyjh3NY0YjmzDS4F/rq/wqfI2tSFlFU111oxhcB1HFBOjtKUU/nJ/gFpy9NpwIscCW8QYRLNJ8Mt\nL5v6SJ4hz4Kbos0+sx1j8uQIMRa9dTjJrnk/P79CUDmhlaa3DZdTT+QkjpL7spRTCJDFYOdCpgM0\nQpQyGb81Ghs0nw63NN6jU+BN09K/J3v5mIzn7fye6+Bpg8MmyKKp0kSVoDcwzEbZIEIvhiiKdfCo\nDH+z2vDX6wt+MuzmjUA5BfFzZvx58NwemlpP3sOoDS/bNXWMXE4jWYRrY3nZrbmtGt7WLaOpyJQM\n/As3HVtmJSXqeTn2tiIrg6DJ2nBbVbyTu6ZYoWzMrAKrFLu59CzN6znFiFGKRIlRPZsJ+0pXnJmG\nfZiAzKNqxaXtaLS9lzrTR8c2FE2+TwlRpfhKEeh0fYzHPGBKgSkGbv3Io2q1yHAWLFiwYMEPHgup\nX0CnK/6oe8TaVfTRcRtLa6uWeVofoKstLgX20bEPE0b0nDHu0apMzztTEVTkKnneUqQpB7J+kMIc\ncD0T6Drez/0e5vuYeCe5OZQ8aUrzqBXLuWnQsURJgvraMMpMnr0Amd5aMh0rPyApfmBafX+SvrM1\nUQk/cz05BqIIO2OYtOXaWiDTBE8dHe+qhm3VYaOjDZ46Bra2Oj7/p8Puwfd30POf+VIS9dj12Bio\nYyQqRR0jVycFUP1sfp20waTEVd0yGMtN1RzjpQ5QQJ0LqRbiB1KiURv+0fljTEqMxiDzVP7maATO\n3NqaT4Z9WUulygYkRUYpUpzXqzNGU/Nqc47Kc+Z+vjPvCgqthFobNrbFh8guOjIZHyModSw607Ng\nRyN0tphmp1TM2z9tzgkpEVJiu3+DG4vJdxQIZPZSJGQ+RSrRNNlybjqsCEZpQo5MKRyn94fvxiGq\nciH2CxYsWLDgh4qF1C84IubMxtRopcoUc56muhR45wc0JUNcZq0zlCbRKZVEHCPCOS1OR7aUyfL7\ncZMHvJoz04Mq6Slk6E/KoUZ9P6b0UBIlSrBKMG7kp25gM265yYG31jx4EnBAoBRc1VJhAFeVSXaY\njbaHLcFDk/Sf9FsMQmrW6HGPpCIZuqpaJluhcmbtp5NNSC5m3znL/WW7pgueT4cdP9tvj1N0KPKk\nLvhigPWOR9OAyZneGEyKJFUI/5aKoNSR2OvZWBxEuKlqgpTTEZPSPZlTMQMrmAmzyupBbb9CkcXw\nuj0gZSjAAAAgAElEQVTDk2bnAsefO2PZGVtM0EoQyeyVQSlFjWJjO3TVsFI1kwqAJqVyApTINGLo\njGVtGjZVw1XYHaVViYzKGZcjKsPjZoVWilruvg+1GD5vL2l1xTvfo12P2V8TgWs/lvfv9+yN4VqX\n76ZBszI1VmkabWm15Y2b+GK4ZcweMrTa8kl1BsAuLDKcBQsWLFjww8VC6hccEXIk5kwtRYssSjHO\npD6R6ePE4BwhxfL7qGi1ZQyBSgStBCRjxbDODUNyTMYep/bvRzl2wfOyLfntB2y8Y2srvmg6Ph12\nx7jLW1szmhrIPM2K9XBLIiNKsXYTj4dbdsbem4qfIs//dtqAAp8AAnkmnQc8ZIhdB48C+qYjtWu0\nEkKKtDlziwISVUpHf4BNiSR6brA19zYKUQSbEs/G/ijM33hXNjdu4txNCOBEY3NmMpakFFkpTM50\n3mFy5mI2qL6p23snIO9n7GcgpMhto0m5iI38/B7ehxOhCZ7HfqBOef6sKnpTkcnsbUXQlqgUP+13\nKHXnLViNA2r9mNbUVBimGEAEoyJKKVplWOmGC9vOyUXCSlfchmmOq1TEFOmT48K2aIRExqVAJYZn\ndUkN+j/e/r9cuT2X+2suxfK02TBGXxKbgHrq8U1Lyhl08V6M2TNFjxbBpcCYSluvoDBK2MaROhqW\nYtgFCxYsWPBDxkLqFxxx0B3HWTOd5sn9kDQxBnZhBBSihJAzOQUe2RJxOeaARlHrGqdjIaWpTNWT\nhVszoUPPyk88ngbO/EQTAjdVQx0Dnw172hAYjCEASql7ufNPp4FrhFit6PxInzw+BrSfOHMTkcQq\neEZtjgT6lNiXcMeycRElDCHgCMQTTT0Ugr0O/jjx3hmLSYX2WyUkBW2K1G4kBIcRzTtjqBM8cqUo\nSSOYlLl0E74ubbcXbuTJWHLeTS558HtTHZ23R9lRziSl+Mmwo04JnSEouLYVVYz81E3HrHsL/Kwv\ncp5DJ0AU4W3d3ttEXduKoDWkcq0PnZ4oMllpPvOeMRWqblPiyTTymnLqsrMN9VQ09ds5ktSkxM5U\n7KxhkyK1aJTSRYOvNFMqLbk5Zzpti5HVVtyoEr9pVDlViLm07PqUuHEDf7R6xE+bi+P7e+t2/IPb\nl7xyJXc4xokvw8hNGIrMRspJhHcDqW5KvGpKuFTkNq/VlqfVBoU6avEr0ccIzT46NifG2wULFixY\nsOCHhoXULzhibWq2oTqmgkQSlWgubMvL8ZacFS4HBEUnFSkltmHkb62eElMi5sR1GFibmiGWBlqt\nhAvbst2/pfaeQRRDmlAp8nQaGLRGUHxxkt9+7iaaGI4T6CK9UZwFx65eY1Lkxk+MOfDI90c9/akp\n9/3M+QgYBUP0uBCPKTCn6IJnNRP6w/NduAnJiUkbmhA5H3vO3UifItdGk4PjPDjq6I/JL3A3Mc/A\nk7Hns5l8exFI8GQckJzZ2pqtqXCz3MiJJirFmZvwWhPmLHqdczm5yJmsFG3wBNF4EZ5Mw5HUP5Tg\nkyl57VpnYoz34j+rOZnmne24DJ4uRs79hIoRL2XjceEnRlPhbMM1wuW0w4lmMJbBWIJtisTFT7i6\nJZKIKVEbw1rXRDIxJ7QSKtE8btYYp/jNdFPOOXJCzQk8PkV+NVzxuF7du4ZX047bMBbingL7DHrW\nzlulCTrRaEuvYB8mYi5RnCKap9WKmDN9clgxPK3X9zT1iUzM+Z7xdsGCBQsWLPihYSH1C47odMVP\nmnPspLkNA5UyNNogCK+nHWMOTMHjc2SnRja24bFZ8a9d/oJ/cPsFf7l/RRq3XPiRZymBWFR3zifd\nY/I0clMnXk23ONGQSkLL02lgZ+7rmLMqkpdTWQmAiYl9nPiN36HmfHGd0pGen2rJ35eXCIU8Ospm\n5SGc+Ym9sVy4+xIcBQSl2PiBjZ/IJJroeTQ3vkKiioF3dclYT0qIotiaEid56UZsStQpIimRRBiM\nJorwpmnvvdedtWyCZ2ctTswxUjMpxSM30Ws7X6umC57e2HsnDV7JB56Ap1N53E7bo1ymnwm5nldH\nofhs2NL5ADmRFNicy6YGxbuVwSrNYDJftqvjxsei576AzKAySsEQAjln+uCoxbA2Na2pODcNn9Rn\n/Pz8Ef9wiKTxGqUURmkSIEqVRuOcuA0jfXRHjbtLAU/EKmEXI5MxnE8TaRb+x1yiK/fz5kbNRu8h\nOLxpeFStS/tsmo7kfYqBSMIqzaXtgNKwvBRTLViwYMGCHyIWUr/gHjpd8fPuEVBiAt/5nr/cvppl\nDIXQ5wwTieAHDMJvhndMOVIFx8ZPgALRQGI19jw6S0xKs1VglGCUQqPYGcsnw57de9/Cg+TlAKEY\nXbNkApkrWz3YHhuUOppFR615W7fHqXSen0OTPkLpCwEeteG64jixDyJcmxqvBKUtKvfkWb+tSTxy\nPTtTsYqBm5TxWrOrGgZd0oG8FClOd5LXr+fSKJ3SB5uIvbFcupGApouBUWv2xlKnNLfFFhruRRhN\nhUmBSYRzNzJpc/x5uiEySrGZHDetOa7FAYXkJxRCN+fgK6UxQCxNVGwytGIBhZLI1rY8mUZEwTpl\n2nHAkNii6ELAa0OYT25CTmil+LTesNI1z+o1CsWFbVnpil2YyESMEioxWNE0YgoBPzGuVmKw6JnA\nJ0ZjibnjLEw0YvFac60N6+4cFR19cGhVEncimUvbzt/pkqQzxjDr6kuT8tpUxwQcKO20SyLOggUL\nFiz4IWEh9Qs+igOZGaJDK8HnVMyWJwU+kcyL/Ws6ZVg9kHKTyNTjgK46+t0rMlBpU0qGtDkWVR0I\n9GkqzAFC2SC8tUXK8VB7bFCK9iQec5q19W3w2JyOhtu9bWYD64c4GEjH90ixF6FNmXd1x945LoeE\n0ULjBkgl7WavDW0MeK3pgqPXzVG/HkTRG0MdIzpnolKl/VUXYy9AHctGweTMu6rh1tQ8cuMc+Vkc\nqa+bhknfNwB3KXMtGpMzE9DESBsj11WJqhRAZYXkyCHr/2AMbufoziol0JYaodOFBGsUVkqZ09B0\nNKYqhU6i8bbhRoRn/b74GUTY6oYhZ8z2Nbo5g6ahwlKJQYuZT4HOjn6NRlt+2l6Ayly7IvdqtcVI\nmZBrpQj57vN8Vq95O+14G/agwIom1i1Te0as17gc2E47PhFho2oMCpRCI7RiaeZ1u7At2zChCGiE\nlbHUYtgFh3lAurQk4ixYsGDBgh8KFlK/4CvR6Ypz2zIkzz5MTFJMj4oydW+0pQ8TykCXM7uZnNrZ\nvEgG50eu6gZRhSiqpAiSSNHxm/Ul9kTffMBV1WBzSZUJIlzbmv0JGX+/PfZPtu8AjubWURuaGHgy\nDbyZYyBNSpxPPYH2g3QcKNKVn0z7eybZURv2tmYTMz5HJq15RCRmUCkTZh64tTUoTjYomitb3uO7\nquHCOe76aYtL4Mu242W75uUcP39I+2li4MJNXFUNbQxkBVtr2RpLFwOPp4Fmznbvbc1gG+yJ/j8p\nOcqXEuAJJCrCnH6jKIT+8TQcS6GaLFhRoGsaoMsKbSoGW7PuLri0muvcU4dE4wcIni55rq1l0Aat\npKTYZEXlerZVzcZaPq3PWOmKv7V6Sqcrfjten3y3LOe641aNxFySjBoxtGKPDbEHPK7W/Atnn/L/\n3L7kZb4l5Egzy8MOjQadru+VVg3J04ilPSHljVhWTc0YPUP0hBwZomdKA582Zx98J043FgsWLFiw\nYME/y1hI/YKvxdN6zTvfY5XMySgFrVRUShNzkVpoU7EBlB+xw44qg2jDr1Pg/4wNgcRlzjwzDV3d\n8X+HPTdKY8LA+oHIywM0as7FPwRT3i+I0qkk30Ql96Qlp6bXU7xvoj08XxcDO1M07VWCixB51Zyh\n6zV9iNR+x6g1V6Zi7Se8lNSanamK5EQ0V3WDE8XLtuNAB3emYmcsNid0hCRqzn2/PwE+aOsPEqB1\n8DhdzLA7bfhFv0WnxM7WTFJIfRD7Xn4PVKmYXQ+bk95Ytrrm02GPTpEomjp4gqiiPS/ZN+zEoqNn\nWj/isr1kYxrOc2LbbviEyCfTyPl+SwwTAxkbEnuVuFWawZQM/EBEYsKlQD1HUV7a1XHafUrUNYIS\neFKt2QeHKKEPjk5bhui5sO2962p1xZ+sn9CaipfjDbswltOjMFGLZmMKWW90RS0llz5neFSVhKa1\nqbn2PUP0RzM4FOK+D9P82PvfC7PkXC5YsGDBgh8IFlK/4Gvxs/aSX/fvCCTSPKXXoslzqkmrq5I/\n3mXady+pvUMpw5gDoxt5mwOoyM5atsbwVlc8q8/II5jocNS8/EhxlKaUEIUUkTnn5vHY83m/xaSE\nzgmTM20MDLoYSy/cxHXFB0VMBzyU0X7Ipx+1IeoaI4pWV2xEcwPcasVETRcT13XHpDW/bTuaWFpT\nFYrRVAiKW1vPt+TjXH5nK3b2PolX772H0/z4UwmQTqnk0qPYRE/liun2y6YlqDRrw0uBlskZcvEX\nHKj+xo08nkaiEoIo9saydhO3VY3TtqS/EBl1hRWNiMbnhJiai7NP+Ky74I/6a8K7V4T6jGvp2fqR\n4B29KCywVS1KitwlimBFQ85Uc9rMAacJM5FEpysEodOlzdgaQyWm9B/Mza+HDcEulM/o0rZc+x6f\nIyl6jBLWpuHStoSU6UyFgmO+/ePq7vV3YWKId9r5AzpTMTxA6pdEnAULFixY8EPBQuoXfCMEEpdV\nh3LgSagMMhtfL2xb0kNsh+632BTJKfDaj1xphRNh7Sd2ZoXPkSGWQqsL3THFQCWWnIpI5HTmrAGr\nSrqKVkLKmS44fj4TeoCN9/8fe2/a49iVpGk+x85yF5K+xCYpUzU53T3Vjcb8/5/SQA8G01XZWakl\nFBG+cLnLWaw/nEu6eygyVaoRMJOV9wEEKRge5L0kQzCz89r74rQwSV0snaVOVjcpvtDoP+dLto8X\nT3wMYmrBnUtGS4GmQ4HRBQ694z3Qp5l+HtjGyCYX1DcM3vPBWmYXaEXIqoyaqnwoVG/4bYxgYO/8\nJXTr3BT8pfRds9xPUzKD9Qy2TvGvUuKnJXX13KaEkpmNvfjeNznxahrJ1nHnA67A1TxhtJ5uTNZh\nEDwOJ8JgPXb3lrtmS9tekQRu88x2HsnGMYqSSpUijc7RzSODMUQyFIMT4eB7nLGIEebyUr7S24A6\n+GMc+TgfccbyttlSVJ9JXcyluH6uaT//fms9V65hyhFxtZG49R1BHEHgd+0175rdF7/HW9e8kACd\nufU9hvp9W91vVlZWVlb+FlmL+pVf5JAm5pK5DT1b1zLlyKwZo9C6wNfNFXYplNt2y8F6Psx7/lxG\nppKwJSGaUa2Fk5qCGPg/tm+xJ/gUT+SYq8RGWSKhqv65EVcDolKdeb+KLyU158LYopysw2qpqa45\nc+8bNovt41kfDyyT9Jecp+TVncdhDBSFSSBpLWLP6h8xQgwd967lgxacCK04xlyYNOKMQRAKmW2K\nXM8jb4eBmzSSjGVwDqfKNkX6FJlc+NkC8HMp0utpwH9WHE+LpSUG7kPzFJhF7UiKqYKlXYpcxZmT\nKurDouav/5zfR0VrGjCK3dxgRYiaLhKVg5nqCcGiV0+aSVq96H1J9Em5neDBN/zU7BitcEvhyraA\nvnCV+dPpjsMwcZhqkqxfUl7nkglLQ2bN0xnGc027M5b9YnU55mpM2omnlbqQe/6Zv6aD723gld/w\nkAayKtYYehtorccb+xebgZWVlZWVlf+/sxb1K79I0lpwZ8CL4OWpKH7jN7xZNPcAI/Bh3jOUiDOW\nmUQqmSiWrIoTu2i4DcE6vu1e4Yyjsw2HOFGoi4t2mdZubctYZg62IBn84m//ZGMpOC20KWLPloyL\nw0qylpAzISeuSyE1wo/d5otLso++4d000ogjWMeYa9bs3jcULTjjKGTysmxqMRgreK2ppNYYMkpM\nEOLETZzZppkmjpiSeT0PWFXCs6CsR1+Dnd67hvOuwHkBGJ72BqqLT8KpXk4ZasEfGBaZzt4HHn3D\nf9zfvXABsqUuzgYty1IsKAY1Vf9f30thNMrgO7bWI2msAWM24XKs2nTrGXzg7vSBU46keWCTZmYb\n+KHfcrCmBkkt9zGkyD8NH5k1VXvKOOFE+HF6pLGeQiGWzId0oLGOOWc2rqG1jjfP5DIvNPjGXBqN\nxlpIMJRI/0wy0y2ptX+NN8320oQ+Z5XarKysrKz8LbMW9Su/iDOWm9Dz07x/8bhFeBO2LzTPn3wg\nlkIwjq0LTCUya+STC0x5piHQW89cEv/j8BNiDEOeaW11MplyZOsaoma8cfQuME4zWRWDIS6Ln1eL\nt/tgHa/mgaaUuihrDNeLPr7NCQyM4vihr4Xilwp6gNF5PiGQEk2KRGM4ti0H61BVerFEYziVuUpz\nUKSwFLKFuShzSoQ0cr1IaLo4Ykrhep7JplosSim4kvnUtLjFq/5zbT3Ugv4sxcnG0JZEHxPRCidb\nTx1+6Hs+tNVB58xk3YuiPosQgS5nXk0DupwUHJ3nh6XBqfIfwQExnmjE0ojj/bTn1mfeNTs+WuE+\nDxyW52tyZAa+b1qO9ukOrmJkMMI2HvBauLMfGU/3NP01b5vdi+AvpSbIGqps53yC8JznhfYh1e/B\ncdHWX7mWIc98nE88xolgHVn1Zwu2P3tvn31fV6nNysrKysq/F9aifuUX2bqGr5odWTP7ONVkTyzf\ntNf8Q38L1EKpX8KEDt09DHsyincdH6VlkDrJFQADD3FExNAYx6QJn6oUQhWubAdGGZeQJzUGZ4SR\nzL0P2JLxNvF2GmhypsmZO9/gUEQVu0zqb+bqchPyzOMyyf9Lk/oCPDrLo7OXibbDoloTR53YKkvJ\niUY81giihkEjpRTmHBnJfB2ni0ePOev0tYAxHJ55389icYvExiGUJRTrvFNw9awxaXPm3rdYHfEl\n4zVzNB6vSjQvJ85n3/uzHGcyQmctexNQEZxCnxP/3G85Ok+fIjdxwhcliWUuCe1vAKWgPMSRWBLv\nNUG3I+XEY5nJaeBehJMVyjP/nT4O2BIpwEw9KdDH73lIIzHseZsL9iiYmBmsIzc9nfO8DTvEGD7N\nJ74b7nnT7HjXPDWM5yA0awxXvsqAppIuAVedq9m2WTP3caBbvo9/if4Xfn9lZWVlZeVvjbWoX/lF\nanDQddU0+xFQrlzHm8XV5P20rzrrUriLR2i3/GAKdjQ004lX08hGhCl0TIuGGgXNYC2kkjFSo5G8\nWA6lpoS+DVuuXUcsdbFWMJycp0mRV6ocXOA+CHsfmMVitXA7jVhVdvMExjBby2wdfU4cnf+ineXz\n6bA++3ehUEt86nRYDM2i8++sJ5bMEGdOJV5yap8765xlQsUI8ZlOPC/Sj7Ro5tXUgCjzrDg+P885\nhOvsnPN6GhmsR01N3u1zYlj2BqDKiM4BWm1ObGPNAFARBnFMoeXBWiZrL6cBQj11cUXZTAMh7Ii+\n0ODpxPOn4Z7HVIv72DTc22sknsh5RjW/WG7ezSP90rAkEQbnmQlsD59Qd+TBOoq2mGxo5xP3JXJv\nDI3xWDFsXQBq4f7c/eaQpipx0qdXm3JizJEr114KfagNwBoatbKysrLy98Za1K/8q+ht4A/9qxeP\nnaenZ36a99zPA4cykYY93XgAqnVho3AdJ35Q5eBdnWQrRKlT8FTqwqm3Fqc1BTSWzJ+nBwTBGYs1\nQtKM13IJlAJ4Q9Woh5K5ilXqUi0elTanukBbCkfnv2hneeZcLha4TLDbAmo9h6ZhlhbBVGlQqc4u\nc8mkZ5KS57aUB+e5mae6oGvgKDV1drSOLMK/9Duia+jFYQokLZfm4LK4+3wpGOU+NDyEprrxLJP/\nzxsVWwpfjUd2y8LwXWjJ1lOAg3NM4vCLlz2cm5q6YKtauM2J2TZc+xZVeEwjc0lkCmNJeHHch5bN\nMNPlQpcmbCmIFvqUOPj6jL4UwjzxGKBLhXtjMMYwlURKhalEGoXSXnEqM1bN5bt25lycJ830Nrzw\nl88UIpl2SSgec71Gi7Cx4VcvvZ6bgVWSs7KysrLyt8ha1K/8mzjlmT+ePjEtC7GpZL4fH8kUDnFi\nN49YwBohGkGAIUd8nom2Si36FLkdj2yNZTBQ2i3FBbyxNLbq6Y9p5sZ37PO4OJsUmlJ4Xpqfi+ew\nLJ9uF8/6YgyTtRhjuA8No3Uv7CzdEmiVPru38wTbUk8PJCduTplhaznZhn6eCfMDIc1YUWYjeC2X\nItxpufjM3wfQlIh2x1gSH63l4D2PvmV0nncq3IwnSo6MwL1z3Dl7cb1JIpdgrNtxYB8CoeQXVp3n\nJuJ83VmEyTqKEa6Zar1uahPVxYlT414sG19m3wpG6uJxwnBIE14sn+YTmRooNeeEXaxCVSzfpiOy\nTOW7OXIbJzZLmu1gHbO1tCnWIK7lsCKVQtRMI56NdTxYyzFPdOIZSS8WZc9ONs5YWvv03cuqBOOq\nVAs4PkslVuCU4wuP+3/N9/l5gxo1X369FvYrKysrK38LrEX9yq/m43zgu/GBD/ORvPjOf5wPFJQg\nlrEk3hghG7e4oShJq7Rks8hZmjjxeppoXJ2yWuB6GjiIQ5sNxzzXICQMnXhufF9tFFMmi8Msevs2\nJ7YpEkqmT5FHF4hi+eBbmmfWhh+Xyf5zO8vLhPqzRNaznv3574oxvFPDx5S4mk4c80ymsI2Jd+OJ\nZAzFCEmEZAzR1BCmvQ/80O+43b7lmGZOeSItS799mtjFRMFgDTSqvJ5GZsKlaN/Ema/ikWSEQwgo\nhl2ceXgWZHVuVJ5f97lgHxbp0WAbnFRnIAMcfcM21gk7nBX0hs4IRy2ghaFkWlXMEjI25cRUIiUr\nfjrx9fCILYpooYuRb4YjBiVgSCLs0syegAJ3TYcUBVEsEJagLucaYq6uQtFkXgXLKc/sF7nNtauf\n29Y1fD8+XAp6a0zNRgA+zIcXn19rqzzq10hwzsFWX3p8LepXVlZWVv4WWIv6lV/FKc91Iq+Fopn7\nONZ0Ua0uJpNmYslMGESVTLlM2LMWire01vF6HOlc9QY/lYgXSy6F3TwydDvGXCelV7bjlCdQaMUx\nS+IUWnbjkZAjN4sLziyWH9ueYoTBWpwqfYwErYFNZ8vHs0zFUuU5XxLjnCffQrXfLChiBFsSuyV4\n6ayQfzUN7OJMEuHBN3VSDxwc/GlzdXlOEwcacbQ2EDUTc2EbJ1IBEUNRQy6FTLnIaU7Oc9+0/IsW\n3kwDbVSaUv333TNt+blR+VzP70thFosBkhg8yiSOu7Zjsg4w3Eyn5V6EIMK174jdFcaAN0LWwsY1\njPMRDDix+GmkmUe6rPic2KSJbYqLXaYlaMZDdcnRzHfNlqMP/OF0pJ1O2DlgwpYUWuam6uGVWkAf\n80yIJ4pyOR3YuEC3FNZn40yD0FhHK473855jmhEMN77nTdjSWv9X/eo/5y/97K95jpWVlZWVlf8v\nWYv6lV/FWXMMgBpSySRNTCUhxhKwWAN33vNWM0ECqDLl6ohyHzZsXcO1DPQ20FlPnyO6aNVTmjjF\nunjaWM/ONRzLjBehUc/WwtRaHlT5dv8RhRfJsTdzLTDHRfpxEs+f+h0f2/7FfWTOnu0/J4vQlII3\nghjDVDJFM49asCkRS6FgUGq4E3CZeJ+5ji8nv495IuSIwSBiqva7ZFzO7KaEK0oWw6OzlGd/LXdx\npsuZ43ICcTVPvI4jbUnc+4b3z9x8oghvxhNvluRar4UH33DftBybDUEsH5uOwRpKKZycx7LlOs14\nLVjXwNVbnK+ONFmVY65ymny451XJZBFcnLgzBrGeq5QQsQQigmBEQBzZOu5dg2AYfccuJwYf8LkQ\nSsHMA4dmh/UdqWQKSiyJIJa7OHDtOnobsEb4fnxk51pa6y9Js2OO/DjuuY+nGlRmHTvX0sjTe/dL\nfvXPccbWgLEvPL6ysrKysvK3wFrUr/wqzkuESXMtTrUw5pow6ozBeY81jiye6Do2cSaXGVxgDB1q\nDFvn2YUtLdBYh8WQULYmMBrDwRhaG2pKq0ZiyQTrCOJ4HTb8MD3yIbQ8hpaHz65vsImvx4m8SGGO\nX3CIOfOlgh7q5PvtNFGMUrRgDWRVPgEbzbjFxFGfPUmWn4cZ/ey9YwnHKtXC0pbC1TwiCD4ndnPk\nlRZ+ajp+arrq9JOrzCiUzC7OqDEcnGey9mev6XLm21OVoiQRTIFX08jBe6IIx6ZnCgGTI04slEIM\njg9NVz87hGA9VyLV9ccUXhfDbhqIBhLVnnMzHphslRa9HY94cYhxIAVjA0ELb6aIk8B3bcvOWKxA\nEseDB5oOzQoa+dPpjqgZK0InVarzuZtN0sw+jdyG2piNOfL98MB34wOJQi+escSLR73LsQaX/Yow\nqa1rXmjqnz++srKysrLyt8Ba1K/8KpyxdNazT/misxZjsEYIUmU2XixBPDfdFYnCPo5glN42vMmJ\nU44cmhY3HOmdr8FDqnixzN2OmCeGGLkvSqLQWc+17wjWsrGBu3ikkwZrGzRPL/zdvSofm44PTXfx\nxbfUyfk5aEn5eUH/XFl/cB6D4U3KWM1ksTx4z9F7omZeTfEi2zn4uqQ72Jd/le79z4vBslzPOYDp\nfB02R7YpLbp28FouwVOTdVzHmXfjEZ8LRYRJ7MWP/rnzzU2c2PtAnxO2FEbn+NS0jNbxU39FIxaD\nwaihaMEYUwVGRrAo1ggOQyue1jrGnPh9MRTXMJbIg1aZVTTCdS58bHoeQ8tViljn6FIiW8fgHKMq\nU9ORxbGJI2mxqmysq9aoZWROEydfA6NMUSYTeUzCMc+12TN1p2LrGpx5+sTej3v+PD5wyFV3X6fz\nypgjo3g2NnDr+1+lhV8DqVZWVlZW/tZZi/qVX8U57RXgx/FAomCN0IjDUoOIWuP5truhWQrdVhwf\npiMfpsOlWGrChlE8IU50xiEh8OAaPpCrE4oNFKM4qgViLpnOVe9yo+DEcAgt12MiL17pFkuP8HWC\nx+0AACAASURBVMl53CKPgVqwP9ebn5NLnwtmzhr585+ZXOAHLxhjKEtzQSkcnCdTi2lfCj+2Gw7O\n41Qv3uxH53nfbb74/j1/zSTCfWj49rRHUcyik7+eJybr6vMt4VJWn64bIJkn28gzbc7V/3+5CV26\nhjZnlMKpFIJYzNLBqIKK0oll6wLBeKwIjfV01vP79oZtes/DkhGgWmoCrA8045GshcemB5ko7gZb\nCiEnSp45hcAn6xmtsJkGCB3BOJwYJo2UohRrl92MesGZDJpJc+YnG/i6vaKgJM1sTcNDHHg/7fnn\n40dGTRggSGAqqX7/TN0JeNdc/ZuK8TWQamVlZWXlb5m1qF/5VVwmmmait453YUfURFFFDbTGsfUt\nV74jiOU+nup0O/Q0yZEp9M7X5/ENxzxzADY28DCf+O74iUwhqSLGsLGBuWQe08ibZsNPw55JC9eu\n5aGBkxHCdGQbJ64041XZpYTFcLTVlBIMWap3fS2MzfLo0/T3cw+cjKJa6CUwEGER3Chwcp7B+acU\n1RQvRX5cAqW+lFr7OdW1xrF3gSSZzRIUJaq8ngbeDUceXQAD96F54VlvXjxHRVF26cna0Wlhl2Y+\n2JZU6jmAX/z+sygWgzeWjW3wpr5XWQuqyivf8/vuFpkm5hx5FWqT8phGBoRPDRjnUR/4JI69tZR5\nIorn2G04OsuUIgaIzl/+RyMiFC2IGA6uJZUCRmuDoeCMoEa5mwfeNjt2rqGR6pA0lJmHODCWxFgi\nqpBLqQ0ghSAOa8wqmVlZWVlZ+btkLepXfjXnieb7aU9j3QuPcKjppI1YGutpsmdjC/s48eP8yJQj\nViyyBAT11iNGOKUa/FONFQ12PLGJI1sRxAaG0HLKiUOeMBicc+xo+aSZWROuZKKxeJTdPLKdE6bp\nmF2gaOHed3WRsxpUXtxvoCbH1iL/eaKsXh4TIH3mlPOX9Ph/ibPsp0+Rt8ORmzjR5Hx5pnbRzp8n\n77pM6Tcl1STYxVc+GWGwjrxM8J9bdB5d4O004kuhLRkpVa7zQ9uTapvCMVdLS2eEYurJgUHZuMC1\nr8upjTh+mg+01vOm23F8/DMAQRzdku76uL1hcDVddygz3jji6QFbarJwTBEMWGPJPnAIPTdxJuXI\nYJR77xmcA42U52/mIuXKZI5p5tZ37FzLD+ND3QMw0FlXE4xRZs0EMiUrwTt+116v0/aVlZWVlb9L\n1qJ+5d/MzrUXJ5znaZ5fNVdsXcs+jfw4VT/7IUce4sCUn/JXW3E01nHtOt6ELRun3EdBpoHbeSCV\nzDErLiWYTpwkYEwNBvo4HYmaGXPi7TyjWh9X79kDTRoJcWLvGh6bHg09vdbQqrr8ahbtv+Wn+bgU\n9EqfItfL1L2IpbTC0eilIP98Ig/w+9OeTYoX+c0uznzX7xgu9plSPfrTxFenPdeLDWcxhm2M9Gnm\n9TRSREC1OsyUUpuUkvjQ9nxqWn7YbS+vM9rqZPP8RODoAx9Cyz8Me0wpzFa49y1OlTbNnJy/NC61\ntYFeHIrhkGa8qc1WzNWN5r+nH/jH7Vc8tFu6eaDRzGDgIz0n5yhaSBS81GXnexd4O48UzWSUYCzO\nGE7NtnrdU2iwbJzlcTk5UIWiuuj7zaXtMmr4MB+YSmRnW2YywVimxX3IGINVpWBwWG5Dz3/oX/H6\nWXDVysrKysrK3xNrUb/yb+ZtsyVpZsiRIO6yRPtNe82QZ/Zp5BBrkFAs9ediWfTvxpAR9mnkPp74\nYXpk5xpQZRPHqqOnIBiqgaQhne7I/VX1wS+JrIWkmUABMUuRqEw+cLIOMYafNju88XS2Sn9U62tv\nbMN16AjG8jCPZJQ2TbyaBsyyXruJM7fjT1xbYTRckmKhTtRfTwObOF9sLc+P38zVfedPu1u8sfSu\nRRQ244n+2c9u48ybecSWjKgyG8MuRWyqxSrOEq3lKs5YVT41HR+XBeBPzwr6c7PxehrYpcj7dsMs\nT1aMtdE4L9Qu+nUtoLJYkQpWhEThkMa6nCweL6566oeOyQeCOKQk5PEHSh7x1uIwNLY+79xsmVxD\nGe4JKWNdwyl0OCNcDY8kCmI8vRi+nmcMhjtbP2EnDm/qDsM50yCW6qr0kAaMwgO5OiUtEiGA3jpe\nN1v+U/+G7ReWk1dWVlZWVv5eWIv6lX8zvQ18017/zDFkyDP/9+EnHtPIh3jglGaCuGU59WwFqcw5\n0aSJm3miUcU4zyfr2KX5svyKMfQ2kCiUPLPPI0mVmBOYGkU0ITTkOmVe0lCdCFksQRxbVyUlAsxa\nTxM669nagBfLN901D/HE63kE8SiFEBNX84w1wkYTHYothfvApbAH+Ho8cnRPco/q1wJvYuLgepwI\nt37DXRwIqrTFkKkWla+nAVGlS4nZWhRDMQZXlGINjWYeXA1mElU2Kf4sRKtP8eKUc3Ser4YjTcns\nfbgU9kfnaYouJwZnURE4qcW8GphzJNpl6dQ55pIvMpZb33EfT9WzXeA/bF7zx+Gufi7l6eTl2yW0\n6kPTs89VTy/G8NVwJImllHpGMKRIpvC6JFx3y9a3l2TirPlS1DsRBPBiQZVDmskYnBEwdcLf2sDr\n0HMdutVTfmVlZWXl75q1qF/5f8XnjiF/Hu747/sf+X56JJXMIU1kBVsyxpgavmTqsmqIE7fTsGyv\nGkxO3KSZkgvOBZypa62zZuacOVILuzrlL6C1wNt7jxmfJuAWg0V4DA2t9excW11gXCDmWEOjXMvG\nNtz6HsHw3/bf06lQxJM1c53HSxPiS5WOKFyCrS6v9SzZ1VGLZG+EIo6Nr/KkWTNRM5MxpGr/Xm0n\nz3/WGCbrmMSySTNOC7NxJCsksSjKowt8bDp+6Kq85Dyd/3o4ArVwH63jPjS8mkbejUf2rmHvFxtP\n65d2w1xOSnoX8MbRiKunHksIVEO13Xzl63Jsaz231NCwpJnftTdsXMOH6cgRlsXaDa+anqxKMI67\nNAAFQbidI48lY7R69bPIbIzWE5hefA3cUsOp1I1ZWaw1vSzXh7JRz7HU3QOjLDsZ4RI4tS7Irqys\nrKz8PbMW9Su/Gac8838d3nOXBmJJJC1EzWRVYoFgHbGUZYHSsEsTmYxRQVU553kKYKUuTM4lM+WM\nqOEhBKpDy9ncUTEKo2/IqmzjWPXmInzynuJa3krgXbNlzIlb37F1LVvXXJJJoQZgvZ/2tGFEcmRW\nYSuWSNXpJyNkamrscwcagAffvLDDPN/HvQ9EzZSS+ZRnxpSILtA5z3bO2FLIiy58sJZJLFGEfWgZ\nXF1wNUYoRjhZy2kJkIKX0/nzYu3NPHEfanF/O08M1vMQGiyGN3Pku87jxZIXRX2znJxYA8FYMBYx\nBtGqUX8VOq5Dd7nPrWt41+wA+DhXa9LG1lOQjW3qyYgqb8KG/7r7miHP/Gm4Zx8HjB1oU2I0sZ4A\nzJl+GshFGVT5NI/YfkfSRC4Fi8FZv6T5JlpxoPWMoTUWJ/Wzqw1ibRR/rS/9ysrKysrKvzfWon7l\nN+OQJo55JpVayJ9yvPihF81kNTTWkkrBGYvLhczZYcZcZBzGWXTzijg+QikksTz6hlGqa82T/3yV\nkxgjnJzj4Lb111TZRiCTKbwJW6wR/tPmLcDPkkNb6/nHzTsGE2iHBx7mkeAjcTqgCkMIZC1s55H0\nWYrrP22v+d1w4M040C4LtB/ann8OgTQdaKxHVTEGDs7xL/2Od8awTTPga1NiHU3JGAyTDTwER4sy\n+oajMWRVBucvi7lXcbq8fhap/vAl8/vTHleq331eOo1iHYQtO2N5tI45J5x4Ns7TSj3FqLp6w6uw\n4XftNXNJ9XTjGecp+Mf5wJ+GOwC8ET7GE/8y3PPKb/jfN69422wvxfXbZsvONTzmBPHEHDNuHmnS\nTCqFBxfIaaIvBbwjiidYRys1kEowOLHMmgjG1aLe1rAygFY8t76jW/3lV1ZWVlZW1qJ+5bcjaUaA\nqImkGWtAxZJLQhC2rqW3gTknkqZaIJe8WEqefVkMRTzSXfHJCYc4kymUogQMxgp5WbY1GHIpSzhU\ntZx01AbhXHoPOeKM5Zv2ZSDR8z0Aa+qy59xtOaGkPDEX5SolHsn00fDoLPehuYRBPXe/Ga3joWk5\nFSWJMFqHokRVTMmo1iamMcLkGv64q+FUr6eBJif6FNmmSFOU923P3tVU2CsMaOGjdfy5e1qMfR44\ndXSeN+OJXXyyFVVjOPrAIbS0YcdN6GkMlOYaZwxjTkyLa5FgLsFhGxuWBqg2Eoc0MpVMI46DqY3E\n++kAwFTSYmWqtHEi7T/x/uE7Hn3Pt6/+gLR1qn8XT3wyyuBbxmnP65goVrgTy+gsqgUtkevhxLC7\nJRjhTdiRSmYsiVkTuShf99d01nPMM4Va8FuEII5GVi39ysrKysrKWtSv/GY4Y3nlN/w0HyiAGEtY\nJsaN2GqZaITb0JNK5s+hYTfGZfKul2CoBx8oaUIQgrEoltHMqAFR6GzDVOLSA5j6zzK+r87vBZCq\no7eB/7h586Kgf74HcMozd/FEEIsCc2go3TUxZwbr0HFPQ2GXMv/cb/ip7V/c89fDgdG6i87+3Jps\n4sjeOXKpxbNXCGLxmpmoxTjAdZyZbOCnTjj5lr1zmKXQbq3lMU5MF2FSJYpcCvuTdWRjyCI1jEkM\ns1iyOG5ywS2Nh1t86MUYjJmg1FRXL5bXYcO7Zkdn/UVic8ozUfPibFNlSN+PD3w33iNGeJwHjnlG\npiPN8EBEwPbMceTHD//ErrvlyjnM448ECpNv+LS5QZedhjmnS+NVtDDEE6e8QWygoPQu8LW/AuAx\njnS26uu3rnlhn7pzLdvPThVWVlZWVlb+HlmL+pXfjK1reNfu+HHeM5dH5lJLbG8sO9diF99ygEOZ\n2VtPanp2ccQXUOs4+Jbk28WHvNpZ1pLWEHMhkilLgZyX4j2Vl+FR5+zX1rpf1FofUp1At9aTtTCk\nSDPsSSVBaJmcJZbCIY94LT/78/4zjb1+9vj5dzOJVKobjFMhUzg6z+xagtjL/kBjFgcdYzimmSdv\nmScefcPvT3u2i2f9NkVO1l0ajtt5whmhNcJxScY9WocridbWwCgngkMu+wR384nOeVIpbFzg/XRg\nKqku1C7v3z6NxFIQU3jMI8c0sxseSKVgpaa7IiBxQoY/YV7/A3NJmJLp40hvHSNgNS1vVvWnFwyT\nqacuWQofpwOvmg1EaK2jX9yFDDUAKyyLsdYIrfXrguzKysrKygprUb/yG3K2uNynCYvh43zESTV5\nDEsKaG8bYkmUUj3HTy5wcqGmxIpZZCoWAcYlfVZLhmUg34pnsxTCU56ZtSalSjmno7IsgAqo4eoX\nCr6n8KzIVDKd89xYzwg8xGGxgFSylhdON2fOU3OBF+V3/Ex7r0AiI1oft0vGrFtOCCLVxtGKrXdg\nqPacfyW79hwilZeTCovhZC2PwbBNiazKXY6cfMepRJrxga0EbpsNDiFqYoiJuSQ2LlCS8t/23yFG\ncEbYuYYgjn0aSVpwRtg6z/v5SFqaFpMTxQgeGEtmJ442jthlfVgwzJqYc6bNI+9D4GqqGn57cUMy\n3IcWZ4SNbTDGEMRd7q+XwKy1wdi5liFHkmauXbcuyK6srKysrCysRf3Kb0pvA/95+w5nhHftjikn\nxlJdT6wJFFXGEslU1xnNdRqtGHIRWitsFqtFTJ29ixEC0DpPJ56db7FGmEpEC5cgonP5W5ZfOBGu\nfffF6zzjjCVq5pTnZVlXyWLpl/82CUbqZPnzQh3q1PzN4kTz+ePnk4PzNSmKUKf1ZXFzmUtayl9T\nzxcUsimcDwW6FNl+lmJ7FacXkp9DbriaJ9o0c7AdR2sZlsTZ0XkC0Czyppm679Aaj8GSSvXityyn\nBzFxo0ozDXhj8L5FuysejeHKt9z4DYc0M9rIVBJJDL4GCjCXhDMdDUpwHVeupbWeQ56ImnClMDQ9\nEWUzDbQFjHPkdodrOra24cp3pJLplxMFqPaaO9cyl0y3WJRuXbMW8ysrKysrK89Yi/qV35yqWfco\nSiOeW9NjEU4l8nE+oihFM6VU55qw+LurKt5avgo7Bo2AUhRSKVWGopm0aNQ761FdlmX1eaTSeVG2\nTnvFPBXipzz/LChr6xru4omsVa5zyjNj07OZBkKxOGPZOOHjbDh8IbH05Dwfges44Z4V3uelVoA6\ne69NQqJglusGLm49ZwcgMYYgllOKbFLiehouE+tzim2b06WgF+qibgmwWdJq5xfXUCjM5FRDnQSD\nNZZvGs+Vay/LzYc8VX/4eWCTEs1ic5nixFYfqzbft3TW09twmaannPHDI1B7sM56rA1st7e04vmq\n2ZFKYciRwVZ/+dF5DkuDZBCurPDWeq58ixdBTP2sgMVDX2mXpOK1kF9ZWVlZWfkya1G/8ptzyjNT\nyTUV1Fg666uWOzuKFg5pRAs01iKLbt4awYnwdXPFdeg4DDOC4Ocj2+mIzRm1jqHpyS5wyBMGgxql\nUC7SFwEctqaQGn1xTc+tLKNm7uKJW99z63se4wgozljUdWTf4Y8PbBV+yiOfmp7B/XxSD3XpdXAe\nu5TqBbBUv/pz6fqELjKhczFvCMYiUoVDQtWmJ818Oxy4iiNSMrPIJWCqWYp64Sw3EibrOPrAn7vt\nixMCqMvDhQzFIAqnNHOwY5XAYDBiKKmeRvTjiSKO4BuCWOZFZvO2ZGSZvG9cw+M44kW4unoHzZZ0\nvMdr5qDK7tW3hKX47mxg4zx2NjzaljZF3sQRkxKzwN63TEt+wawZVzI3y+lKLIVGamG/ymxWVlZW\nVlb+OmtRv/Kb8txNZipV+7xPmakk9mnkmCI713D0Dfs8sTENzli8rZaKwTg+xoFgLLdFcXHmpHUB\nk5K5GU8cRDhYhxVLJ56TmREtnBXoS0AtglRtPXUhdszxosc+NxsHM/Gu2fGH/tVL//r2irG/JccT\n9/sfycMdopms+Qt3/aRvd1gS6aLtf5rHV84Te6i31LvA1jZkLYwlXn5qmxKvp2GRJtUp/Tlgan7m\ntHN+dqEGYf01lGp3qShZ4ZhmhhI5TCNRa2N1W48/CGIJ4mit4cpXKU1srzmkic76aiVqYCoZF1pc\n8zuufEcjDt/s+PPwSDed0DwzGkvc3CLjntvpSCyFTEEKvJpOPBjDQRp662nFMeZ615aqoV8n9Csr\nKysrK7/MWtSv/KY8d5OBWuRnVT5MB1rrMAa8sVy5jqhVS18n+Y43fsvHeCTmSOs8VzmxXzzJFRBT\npRndNHDX9gRjGTUuz/NURGeUuWS8Ea4Wu8NDmtin8XKd52bDYHjX7C5F43N5zm3bc+M7/p/jB3pX\nbTaz5p/50Twv4AtKYzx2cXUpKGNJl7MEg8Ev7jYGcMssfyyJWMqyPApfJUWtxebq5HN+zV2K/Nht\n2C/ael+UJJZ77zkskp8vrdYaYNErMeTI3XzCGQFjyBRyyRRRJuDaWDq7BG7ZhivX0vgev7xHUTPf\n9rcc00SmOgZd58Lt/EAoBfyeg3N8bFuCbDnMA8fxnmY+EcvTycr5s+rngUffcTcPJFWOMmMMbGzL\nlNOv/xKurKysrKz8HbIW9Su/KenZJLtdZDdQvcaDOIZlCtu5wA2FWApftbsaTuWbqu2m6ug1JwxS\nJ/CqS6EsuJKZS6oWivCs5D073xjECK/85mJ3uE8jD3G8BBe11tGIYypPRWP/hWTS3gb+8+YdAnxv\n9miEscRLUVpf/2VRLyhTyXjsM2HQk9bfGVvt9an+/Y1YHuZE1MK8TKg1Tzza2tgYapIugBTDyffI\nsy0Ca+SFwOdzznp9gKLKVBLOzFgRelOdh1oXsMYQO8s8TfQ2cBt6Wqmf3yG0/HT6xJ+GT4wlIdOJ\nbh5wpeDjgKgyNFua0BPjiB1nhqbDbl6x9Q2vSs+HkomURaRUTy8EsCUza+Y+nygm8665xomwcZ5Z\nEz9NB/7Qv/ord7iysrKysrKyFvUrvylnN5nPsUvVeV5GDWJpxBPLxCFN7Ja02bfNlod55I/DJ7Im\n0IKWAqbqwqeSiWJRlPRMtV4NImvx2oqnsY5r37F1zaLxj5cCu6CXRcyrvxJcdF6sdSK8ba5ItqCq\nmKhMmjEI+iwPN/PklW8AK9VVRrQwaW0DjDF0zqNaGxtHtY/01mG0LpROZPZS8BhSCFylhC0FrONh\ncdW5mYbaIEjdS7idBhK8WNC9fCYI1hiKPk3sZ81Irq9nFi1/sA7rWm59R/AdrXjUeo6h5TuN7NPI\nIUfKtGc37IlALEozPNIA3eJcE0tmLpnNNMIGDmmsC9JisVnIz8K0FEgiFFViKTzGiWCO3PieySZ2\n8OKEZWVlZWVlZeXLrEX9ym/K2U3mc96GHacyX2wK92kko9z6DW+aHmvsorufeB/3nPLMbD3XsRZ0\nRmsxXjDsfbNMew1n3xu7FPdBhN5V952vmyt6G3g/7eltw1wSj3EiUqfojbi/mEZ6yjPfjw+c8sxD\nHHhMI9fNBpstPxnLIU2LlWadyp8V/QG3LL1KXYM1YHHYYkiqGFNPM3oJvHEbhjKzzxNTqX7xebmj\nR9/wehoYrGO2DsHiRdi3W97GGSOOvOjtFcViuY4Tsws8nSEUDEIQS9KyBD096fyL1muxYimAUyWW\nxCF0fNpcM7uGpJmHOHLKE9YIqSQ2i4XnnDOtdVxJDe7q08wYeqLWRqcz8FgS7+cjQ4401vP2+ICQ\nOanWBWPruPcNBcUv/vxKPU045pldSTj75QXllZWVlZWVlSfWon7lN+VL2vSta7j1/aVIbsQTJdOK\nA2pyaqZQivLD/IhD6FKkiSN9KWxzZBLPo/McQkPyDSbFZymyuhS2gmC58i3/2L/l2/4WYLFtNEQt\ndM7TUafZU8lY82XhyofpcJkQF1UasZeJ/I1vacRySjNjiUvQ1Xk6b5YJPrA43FiEYC1zqUWwM5a3\nYctXzY5/Pn3ilOrewbmgh6eJ+1WcMKWQRbgPDS50uGmgQHXNMfX1omZCqe495zsyVEvO1jqy1uXU\notVdp/67vqLRsjxPNdicSuaYJ5plIXcqkcc00tuAl5pMW++u1CVd62m04Eq9+kYsAYtxgTEn5pzo\n48xOYXQNXZ7ZxYFX88j7piOLsMcQfbt49xec1M9syolvmuvf4Ju5srKysrLy75u1qF/5zfmSNh3g\nm8U9pRb7wj6N7NPIXDLHPHMfT+zjyG2Bm+lY9d/OY5YC9+QDJ+fxajGLwwzGELTKVyzVJ/2/bL7i\n/7z65nINzljMfOTdaU+KM1EMp9CRm9poZNWfhRk9poG5JMacuEsnBMON63FB6KXhx/kRQdjQUCgM\nORFzXibxBUPdCzBGcc7isDTe0ksDRgnWccwzpzJdmoXPF1xPznNyvt6XqfsJwToOFGxJF197g8Eo\nZKmnD0UBozjqqYUztVDXojgxTEtY10zBUoOwUEimXscpzwx55m6uS8zOWCzCmBONOJxrKWnGIDgs\n0mzo40QfOlzoL3Kff3GOTE2PvckJYx1T01KGRJ8SaObdNJBsoCkjD0bIoSNqxmhNkm2t402z/W2/\noCsrKysrK/8OWYv6ld+ML4U7PS+Unxf7zlj+NNzxaT5yH08c0lw18gX8PFIWuY1bnGJacbwrylEN\nKgVn6uQdwIvlxre8CVu+arb8oX/14nV3ObM/3tdfuMBcEnY8oK4hqV4868/XCCzT6qq7P6etnnLE\nqeEPm1d81e74n0Odsh/zTC4nxNZU1bLITwpKUaUtiljDjetonYcC167lIQ1MOVVd+XIvfYqLq00h\niXDwDaNrFi1+wCjsfcNX88gmzdhSSGI4ucBde4M1QtGEFsXYKgEKxhGNYhaZkjVV3++wWCsEI1hj\nUaobTXMOllocgqq1peOYI731xHZLc7zHuoBgOIpDgQ8o8+mOTbPh7fXv+N/6G/T0iVKU1jxSxJDy\nkXfzCYwgJePHmTbf8xBaeoXvmw0AG9fQWMeNW/3pV1ZWVlZW/jWsRf3Kb8JfCncCvliUWWO4iwP3\naeAxTVUeosvCaZqYTY1y8lZoxHHtWlyOBHEgyzS8FAShFc9GAreuB4TvxweAS1OxmUd2ruUuDox5\nZsgRL0I7HSnd1eWaDmm6XKt9lkQbxDIsTjtGnh6/ch0bG2A6cGdOjDmRNJFVF/tNxS26+lYcpxKR\nXJ15jnni43RkLImU69R9kyKvFr06QCiF19PIIxbpatPy3XhPI+eYK+Vs5ikIW9cwiwOUJkZu5yNB\n92A9+Bb1HoPBaV08dsaTUZzYi2xn84VTlqLK67AlpAlnDPtmx4hhNw9oTjzkxP/wjq6/4Tb0GHH8\nsUz8Q575Q/+KIJZxPPA4HnitSmMspiR8zqDKVZ65OkWuU+TUdMjVO/7Q3xLEYUU45Xkt7FdWVlZW\nVn6Btahf+U04+9N/6fEvFWRZFdXCPo7IfOQ6TthSiCKYnEm2SktUlY14rLFESXgx5EXjbk2dNrfO\ns/UtRsCLIMa8aCp2y4R5n0a2rrmEP81xpOGpSH9ux3nlWqYSq0+6VI/8jWuwavDGkk3hxnd8nA94\nsfQ2cEhTdaSx1aYyKzhjaMTjrWPMEVXonSerLhN+JS3XcxvnF++RATzCq5wZxS8nITPvpoHBCoPt\nL44/BsNtSnznC5uUeD1XDfxAZI4jMp8obc/sWyxCbz2pKEOZyaVgRRARdrZl+1mIVdJMa3u+aau2\n/Y+nT+zF8Bg6Gus4TEeEfDltOPN+OvBfd19z4zv+Z9gyHD9xU5Q+tDAOWK33nksNCwP4h+Mj4+4d\n1lh2S4LtX/oOraysrKysrDyxFvX/i7036ZEsy671vn2a21nj7tFnkVUk3yMVkqChBEjAm+hfaKaB\nRhoJmkuAxtI/kPAGAjTUXD9B0we8JzwkKJJFsiq78AhvzOx2p9kanOsWHlGR1SibIqvuN/I093Qz\nu26ZWGfftdda+V6I39K0+m2PH+NEyJFqHtkti59QmlNFEy4q2dclstEYQo7c2IqwTMwT2FpApAAA\nIABJREFUCiqoKI045hRJrlhkrBjGFM6CcGs9aVY6WzHmgFkCMJ2veVwl5cSev966GkU/aKD97PKC\ndMq8qHf8+/sveRtOfDOfmFPEiaG1/lx6lXk4eJRWW4uwszW1c1TiuE9DOZRYQ4xCRDE5ldx2ytQ8\nC6CC18RRM6clcUeWrH+FJXNHy3tKM6od+ziTNHHKM2Oaibn8bDcOnKwnkAkhUi+HJb8s0yolg/+l\n3bJzzbk4rDaOxjiupyNfTXdcTz2TziiCzHBME14sztiz7x5gzpE+zdyGgbmuydsnaJjQbGjMEWxJ\nuSlv0zC5CqfKi6RUxp47Dr7tM7SysrKysrLynlXUr3wvfFs+/WOh/JgpR6Iquzj/yvdG6/A5Y4wj\nqzICt95zb0BTxIpBVciiODG4xRJTiVvSZQxv5yNWDE4sxnhimqmso7KOZpl6D+2epO/XUx+Kqh6+\n/lQ++tbVvJ2PvJmPJVJSH+Isy3S/TzOCEHJis/w+iyFpprKOkCLXKXAI03l5tbIezZFsLNsQ2KeA\n10wQQ+8qQtUQcyZLxhlDMIZNmGnjjFu896OrGTwkTRADADkrMes5F95miLmk6Wd5KK0yiCkiWpBF\nQMsHxWGNcYw58s184JRmMpljnM/pQ6c44U2J7WyM48KXmNDKOI5x4jb09Gkm1x3fXL0kpZEqBC7v\nrjFSkoLum47kKrCW++mIpMBD3dS3fYZWVlZWVlZW3rOK+pXvTL/41G9CjxWhs9VZED4Wyo+pTYlj\ntDkTkbMl5oFoDG/qlm+s42W9JWvGaipTb2NLhKSWgqfWepolKaUyjnnJODcYnlYbpqrm0GzYhYkG\n8FWD9ZdMAmMccWLYfUte/UMO/kPY5JBm/vr4hjFHphwZcyr7ALksx+5dQyKTsqNavOrdci2sGEJe\nct9zicNUFKMlPz6J42I+Yk1pnTUKPkz8stksrbmWra1Ra7g8TeVuBeBy5mIe+WW9IaH0KI0C5xz7\nUs41GogUn/82RZ6HmQ4DxmM3Nb0r0/q7MDClwNY1bF19tlb1ywGsMpY5RaacSimYZoxmKuM4xZK5\nXxvHi3pb8uaXQ4Y3FuotIxXjZsCfbvEJRlViCiDKjduRdaZ71PT7bZ+hlZWVlZWVlfeson7lO/Gw\nIOuMYedqhlSaR71YntXbb/VCb13DhW85uQoTJuQsUQvJODJK1ETQSMpl3pzIzDFSW8/WOlpb4Zbp\n8JgilXGMqQjCjNIugtq3e95VM0+qkq6SUsDGkVfNxfkA8nix9xinD6bVAEMK/P3hLdfhuGTiQ8yR\nORd7jjeWq2pDn2Za73he73FiztPvm3DCG0tlHV2q6FMRu1FLU22FcqgbdjHSiGUW5c4YUpw4Jb9Y\nfGquMByrlibO2BxJxnLnKpxmvFhCvaUZD0TyUtFVDOsHX5fG3TizmwaCCMFVVCpcTies2TG6iqzK\nfZywS4LRg/3l4e8TciKRGfOMW2w3G1shInhjUYWftlc8rbZ8Mx14HNbpjaXuLjFDZK6+wh7fYck4\n8QiejPLGGC7ijP9EgtLKysrKysrKp1lF/cp34vGC7GMR7MX+WjG2dTWfNXt+3l0ih2tyzotHvCTg\n3PkKpVhqoirHFPCL/7s0owrOWLa+YbdMlKdFXCdyWQZdJrzv5lMpd1om6s4Y5pzOi5gAYwrlbsN8\nYu9a3szH4nkXez4Y3Awjs0Y8lrBYWvwyjbdLXnxjPJe+Ze9a/qPdKwC+GG/PsZVvpyPeGC58W7Lw\ntfTCOmNpsjJZx2DcuUAqkZHFqpQ1EXXkMgYm5xido4mRNs5czBP7GJnqjoPzhKalm8aywGoMB98w\nOI8A2zCeS7umlBgJKBmTItP+GbuqAZRDHImaSnsukMn0sTTgerGLJ79co855dq7hVX3Bk6rjabU9\n/503rl5y/xMhJ+TY8+r+K/qq47oL2DBjKHajYAzRtxgRXtS77/4BXVlZWVlZ+SNhFfUr34nfdUH2\ngc5WvN6+JOTEX6cZGQ7YFIlGOPqa6BtqhM56xhhBS2VrmdyXPPuYM6/UcDX29HfXVMZid0/ZuwYr\nhkrcB774eolIvPQd8H5+PC53F6Dk08dlKbW2JT7zEBNJlSzlsLD3NW+XqX5WMEuG/FO3OSfH1Oa9\nD9yJ5RBHQo4EMgbhwjec0obr+Yjo0kJrPSyHpDpF2jghOTFZS1O3TMsUfRDoFOoY2c3j8l5KvOV2\nODA3HVPVMvmGmFPJ81fFLmlClyGwTRGnmSjC0XpOGNqlOKtZFl37VDoHoipusVXdhp6YczmEUA41\nG1vhxWGXZeHHHvjOVryqd3w13vFmPpZ23jiQYkAQJuuJy7WKIqgt0/q7eVijLFdWVlZWVn4HVlG/\n8p34XRdkH/O02vKfXf05lbH8YrjjEEbmPGFyphOhMpa9b7iZehCLFYi5REoiUMeJNt+RxGJESTkw\n3n3F0O7ZbK4+SLYBzhP36+nIKc1MOWJFmHPCLpmKIUdqU9JgHie5nOJE1zQ0VktWPnAfJrwYOlvz\nzG9oXXXeKdg+8uhbEa7nI2MODIsvfTYJb8pSL2SyKseq4iInmhTYx8iclQRM1vF8GrjFMDjPyTd0\n88gmhsUzXwT90XlUlH2YeOsboiZUwYvgrGNjGsJ4x24R9FlLo+xlnDiJxdRbUGVKka2rCTlTmRLL\nuVt6Ara2QVXYuBrNmSEHzLKovF/e85gCX4y3xZI0D8x3X7M9fs2QRq6t5S7OdHGmEZZysZJmZFXJ\nxuCXxKNf13OwsrKysrKy8iGrqF/5Tmxd/UHp1OPHfxs6W/GT5orKeG7Didsw8nY+YUVorKO1NW/p\n2cTAbh7pxJCN4+ArLmJAq5oxRxrr8AJ9Cmh/yz9IibC88C2dLc2nfZp5O58YU2DvGu7jyJgDt3NP\n5xp2rj6L+wfhnrQkvZzizJVsGIjL+2uojKN11dKU6791Qfj4sGAqjp2rOcWZkBMhR7xYspYaqaOr\nSDX82aEHgWCEe1czWYcBNmHk5DxHZzE0XE19sfUY4egqZmshl2jMWSOqUInFiKEOE38ugj3cYHOC\nHJnElhVgAR8GvjFP0TRzHY7sljjRKUcYe7r0lm3O/FSEvmoxS/PrlCNjKrGUW1tEvTUl0SZPB755\n9wtuQ18ObHFkQ2bWxC/JPA1huULFTpUWm5BS0njKtVsz6ldWVlZWVn4bVlG/8p14EFzHOJ3z3H+X\n5cY+zURN1GHkp9PEn8SZr0Lk2jnEV9TieJphO48klKgZkwIXKfBM3AfpLIc4MWsRmEhZ6CwZ7sKs\nRYyPKTBr4ib2qMKcyzz/lEYufE1SZc5l4dYuXvkL37BxNZ2v6JmIWibrQ4q8rHfUxv3aBeFDHKmN\nozaOvW+YcuTL6cDtOOCMRVGiCkkzJ+e5qxoGMYw5MuvDArHicoIlk/7kLV81G0yOj5KDynudjJKy\n4kUwxvB0OPHieIMDuvHE0VqKa79sHyRjOPmaO2docmnEVSDnzDjcsh9PnEQYKIVg2xSoqo6DLb76\nzlY88R33ceIQJ25CjwC74w03c8/1dOQuDkiY2MUJnyLBOu7F4hS8RqIxfLG5IFQNT1yLIIwpsKZZ\nrqysrKys/Hason7lO1Mm1e9FbJ9mvpkOHM/xhvYcj/ix2D/GiU0KdNPImBP3KXJlPM/VYqs9o69o\n798wiEU0nzNyBIOPgWOc6FMgaj43mkbjsJT8+jFFYu7ZuIopxzKdT4FJE3OMtM4vFhBZ/PFwPZ1o\nnT+/t9o4rnzLZdUy2BlQrFieVpv3We6/dkFY+RhB8cbSGk/UzJwiUTO3OqLW4xEQQRIELSabZFxJ\nshEhaeKddzyZyrTbYpdnydwspVqqQj2eeHK4hqyMZPYp8moayvTfe77oOoL1iKuwYtm4hr1rqI3j\nbTjRzQNJM2MudVeC8Mw7LkOgavfFfpUjN2Hgej4ScyaRqYzFzz13ceAujtgw0c7ljk4U4c45NjHQ\nu4qx2tLXLVp1tNYRNNOnidswfGvU6MrKysrKysqHrKJ+5XvlIeLyYfn0GCfuwkhlLK2t+IvuCX/S\nXp1/PmqiGo88GDHyMm22As9yYqp3qK2wLiFS7B4ZBYUsFiPlOb+eSlKLwzJ2e5qcaK2jtb5M53Ni\nTBGHoc+BkBOTRpxKee4I32guEZli2LmWQxyYUjyn5IwxcBcGgia8WK5890Hk5cP7+Zi9a3kXTud/\nPsSJKUbISjYZI9C5CtUS4RmbHXbq8eLY2pr7ODLnyF21NOCqoMDJeRRK/n5WZgO3vuHkPCwpQk3o\n0ZyIQJUTLJnydY7MSdjPA/cVvG23COCN4dK1PK933IeJDcJB01nQG0r0ZzN5+rABVd6FnkzmPgy8\nC8USVBsHsdyFEcr+w/kaGcNoHaN1BGN409RYBAkDdXJsXI0T4e185M+7J6ysrKysrKz8ZlZRv/K9\n8mCFKfGQPV9PhxLZKAZF+ZvTNY3158hDJ5Ywj/RpZs6RY5gWq4yQgGZzReUbmhxQBRWKODeG1Lbc\n1ltSHMhR6YGxqsnOcJUjnVYYEZ7Xu9LoaiwxJ3IuE30jwjHOTCkiCN5OPK+2PPEbrnxLbSxpsdrc\nzQOHXF6bwRA18/V8D8BF1Z7f/6cWhJ/VW4Im+jTTL9GZ1ZJXP6WEQeispfE1BkPTWlyzww0HTE5A\n5s42TNYhOZ+NMxk4Os/J+VJe9dHzRhSbM1Yz+xi4mCZEYDYGC0QxJGNJYuh9xd4YKrEklDGFspi8\n3HmIuURbDimQKS2/7faSKUXezSeOeWZMkSFNCMKJEWOF7QyVddj8vofg6DxNimxjwC5/i6OvCb5B\nF9uUIBgxnOLM09VSv7KysrKy8htZRf3K98rDpLpYcI5nv3fUkpQC8M10/CDH/EuKj/0YJ/KS5OLF\n8jbN1PMRU7W0cUQVautwJuDFMLd77o0h7p9zO3XcxxEQXM7MOeGNJaSEscLX8xFBSGRaV3GIAzEn\nDnHCisGLIatwHycq47gNA5e+PWe1n+KMc3ZJylGyluf4isMHov5TC8KdrfisueAYJ76ZDmxdRVhe\n300YCDkx5MCV2fBqu+N6OjI4mDcXANzOPaIZyTN2sd48COT3efafxuWMy+/FPQoVcPAVf7/dE6yn\nEktnPEYMRoSUM1+O91gxXDtL2x/oc+AYyt+HDG/rRHN6i4iUOwmpLOeGXI4bqpCMZ6xbnoRANuWw\ncFxsTZdzOfwFY/A5czUN3GEwjccbS2M8uyXffmVlZWVlZeU3s4r6le+Vh4jLeRF3ack5BzBJIMOc\n4/nnO1vhNk/ob37BrMVi49SQNHFjLVcp0FUdUQT6eyRH1Fj6ZktyDTFPxGUKvLU1iDLlSJ9njmEi\nOeWF2bFzDac4MecEqnhxDASMlIm9UEqUKmMZU+QUJ141e6As097qgMkGoURU2mUi38fpHAH58c5A\nn+bzAnFcyrWSZkAW8Vsab70xOLG8rHf81fYFf3N8wy/HW04U0X5VbQg5Ms8ZJZZCKhTDQ1us/oqo\n72JgHyZejCe6HJmMZTaWKieSCAfnmazDIZicuTzd0ipctBHnBq5czRNT8bfTyDeayTmXAi9juKsr\nknXkHJhzZEjlbkfUchdBl5PGrIl749DNBSeJdP2BQObZ9F6on9x7+9I+jAzNDiNC56olTlRYWVlZ\nWVlZ+c2son7le+Uh4rIyhqwwL/aKyliyKlHeZ7U80HaXHOKAObxB40j2NXPd4n2LooQcoWoYrSOR\nz5YYKxmHMGjGiGCXGESLYWNr5hyZ5si/SxOt8XS2tL3exRFvLHZpRQWhMY7GlgKlYmwpYrKxns+a\nMjE/uYB/VCrljV0y6etfaT992C2AD8uthhS4m3tuw4AuTbKVuGIN0sxX4x33cWRra2rryj5AKncK\nvDEkNUiSJQRSF1EvH2TydzHwdBHOSQy9cbQpclvVWJTBOmZjMUCXEk4Mdp64yJmnh1uehYDbPUM3\nl7RE6hT4um7o2x1BI0nL1H9KJc4SyjJvE2ZeDEcuwoQRQ1+33G8uaast0j3hRjPNdMLmTDCGk/OM\n9v3/gqoMyVi2tj4vyK6LsisrKysrK78dq6hf+V55mFTfh5HOek5pJKuSNFEtZUsPWfAPk+xjHLk1\nlm+ajiF5hhyIcaLVTFSlFsNn/uKcHQ9lYXZKkdp5jrGI9kwpThIRppw4pJG9b5AsnHTmlCZSVlS1\nZOAbDwoqijOGaomdVIWNq/CP4jlf1Fv+Jl3/yvvd2JpvpsOvxHkeHy2G9mk+v+ZTmuhzIKHlICIG\nUGZNXM9HrAhDnrkL43maryizRqacyJqwRjBZSlzn8jtyns/T+n34cClVgNlaojEcnWcTiw0qGUfQ\nhObMJgzUatiNR6JCc3zHUYQ2T7wE6v6Wm80lN9Yx+IoMBI0o5UDVhYmX/T0Xc7FAGZSn08BWLHO1\n5eXuOU+qDZ8fv+ELOHvpH+42CIJxFY2t2LhyUNq5huf19nv4VK6srKysrPzhs4r6le+dBxH81dQh\nwPXcE0n0ccaK4f89XXMIE7W1XC4JMhtbcYgjQ4rEHImqJac9R/au4UneIJQl2ZKubnhebfmzzVOq\ne8f1dGTOkayKF8Mph5LZniJjKiLWieEQx/J49uxdQ2UdQ5qJOTFLpDOeP9885T/YvfzASvO02hKN\n8tf91wTNeCl3A0RYZDcETefp/OMUnLTYj6YUsWKpxDABWYuFJqrSGMOUwvnfCTmVZVVj6NNcsuM1\nk5XSpmv9ksFf7ENztqRF1vv8fmp/cv7sX3c5n1NnbuqWydX85HTL8zihWWnyDJogJuY4odMRa8DZ\nitR0pDBylUqZ1VjViCpiSmDnNgZ2MZQXt1wPAS5TIqdERPkXtuVKanrXEI933FtHby2CUBtH6i7Y\nu4Y/757yp+3VB3amx1am37ULYWVlZWVl5Y+BVdSv/CAkVXau4WZph0UNycCUAz5Z3oQje62JmnlW\nbfGmRESO+Z5YVi0xCEETpzxzH0pyyzGMzFqWTCPKi2bHf7L/yVlM//z0lmOauOvfnSMw5xRJKN4Y\nQk5sbM2UE+9CT2vKoqizhqtqw4tqy/N6yzFO3Ib+AwH5F/unxP69WL+Ze6KmT2bvP+wWAMtyq5LI\nJd3GViCGpJnGeoY44zDcpZFfDLcc43TOrZ9SuSNhKPYiq4KSaKzFiiFlpbaOpLqI5/fLpwCjddxW\nsIkBWb538DWTqxGUZCyu7M+SU0JSxqSZZAwuJQa1uBjJ3pXmXhW2cWTvarowEuLEfU40ccJnXUxA\ngjMGgykNwMA8B8x05GfVjrFt+XmCp9MBr5apbrHdBV13yc7V/Fn35LxIDR9ameDDw9Mq7FdWVlZW\nVgqrqF/5QShi1xNyoraOKUdCSiRVxMIQZ/auZkxxmUQXgZtyEb6JYr1JS7b819M9L+otYoR6+diG\nHPm7/h3/8e4VV77jGCe8sYwhLBGaoJqYNS1ecEdjSrpK1syUArVxPK+2/MXmGRe+ZUyBd6HnSbUp\nz/FIQD73O658x/V05D4OvJtLqdWn3vul7z4QntfzkT4WT/5DSdaVb/HGljsQOZJz4hhHhhyZNGIR\nci4lVSGnstRqDAYLSknREeUnzUVpo00ToNz7+uyphyLsZ+u4qTt6V2EXe0xCufEVL80Rn0FywseJ\nNkZGW8qs1FjUlFx8I4IxwmWIzHoobn6FKivbEHEo0Qi6NNICZOMQW/NKlWwcW1/zk+0lTXL84/iO\nOSeO7Y7GNzix1MZx/CjG8rGV6THHOK2ifmVlZWVlZWEV9Ss/CE7KYqy3Hk2BrGWp0z8IxGURNaMk\nVZyUGMOEFp83xb5hEbLAKU4cjOOQpnO0pXWGPk4c48SLevfezx9HZhe5DUXYVsaQkpTUHVWyJpyx\n6OLtF+Dd3HOMI8cYltQexYrQ2YrG+g+EpTVlqg9C1HRegm0eFV0BpCXxRii+9ye+Y9TATioOoWS+\nH5ZEniGXaf2sGSdCRMqOgEY6U5EkY7BUphRqeTH8h7tXKMVW9MV0h1nS6vslUWYfJvyylHr0NaPz\nWASkWH8Aeuf5h27HXx1ukJxICEdfY1DIEaOZ62YLy0KvCOR5BF/SaWwu2f+Dr6hToBJ7DqxxxhCq\nlqrbk8bTBzk2W1/jR0dLpLGe1nj2vmbrmvP1fOBThV6/7vGVlZWVlZU/RlZRv/KDsHU1X4y37G3N\nSQCUQQQnhoxy4Uu2e2mPFVrrz+kz9lGBkxPBArNmpkXEzTkw5MAhDAzVhifV5uy1tiJUYnm2LFie\n0sykxWuvqqgpU3HJEWsMjXrmXCb5fSi59bVxTLlM8R8E5sNLeizuW+s5xPe5/ACHOLJzDUoR/wBk\nzgk6YwrchoGkypwTja2WuMqAWQq6rFj2zpEoPnq0XKfKWCyGKQeSOK7nI8+rHT9pLsoOw3iP1eKs\n750/i3tgychRZDmwPE4getd0XIdEdg1qDuwURmBEEYFTVZPFApkhZbIoPkca4zAGNq7mIHAQi3UV\nu3kgo8TuCr18SdNsyWGie/SkxzBxSlOJ2bSuHAA0M+eIs+aDz9JjK9PHj39XVq/+ysrKysofCquo\nX/lB6GzFE78p8ZNzRiyIGFQzjfE8qTqgCLONrdi6hkvf8nent3wzHwg5lTIkLE4cYhJBS6vpWZSq\n8s185E/jwFXVETQRFC59x23oqayjsR6DIedULC5ayq2sCFnLND2ihJyYciTlTOVKVn29pO30aT5H\nKz6eDje2iOYhBdJSRrVzzfnxBw5x5Gp5v431VGnmRb3jPpR0nrswlsOClIOCZsWa0lrbyI4M3Iae\nY5yJFJvSn9ZbkirX05EpBzpbceUbrud8Xph9wFLuFih6Dr78OFY0GsNt05F8yyYMJX5UE3XOJLFM\nvmYyloNvuQwRp8opzuXwIoIXS2wq3m6veCtCazxP6w1I8f5Xmyd045Gda0hL0o+iHHxFTpF71WLH\nIvKqvvjgtW1dzZfj3Xlh+OEOylXT/f/5aJ5ZvforKysrK39IrKJ+5QfjWb3FGsOl7+jTzJBCiZ+0\nno19H1n4WED9xeYZUTOnOJFQ7DKhdlKiLrOWNtdMmbyTinXmZ93T8++49C0bV2FHw6yRU5rpXE2T\nK04pkCVjtCTIdNbRmOL5F0rpkTeWx2n6SfXcFPvx1Lixnsb6ImofNb1+yIePPqThvP8djsZa+hSJ\nOTHlxMZUpJRJZI5xImjGGkG1eNaPcWbMAUR4O5+Q5UCwdTVDCmTNlPVgqHAgLLYmfZRoXxAEtQ4D\naF0xGkMdJlwShsryy4tnhKolasYgRJexY08ggcKUFWcE7a54We9orGfvairjSJoRhFsjhKplKw6Y\nUesxzXOsEXJOS4mV4cJ357ssH1My+TOC+eT3f1dWr/7KysrKyh8Sq6hf+cF4EEZHKUL+t7E3tMZT\nW7+UQJUEHGcsW1MRolKJ5agPE3dwKLdxYEzhPCF3xvDMb3Fi+Wq6p5Iei8EaaCXjpSajy4ffnCMy\nG+vw4rAIxzRzy4ATy4vl4HEK07JIe8KJXSxDxUefJHMfB6BYiaBMgvsUmFKgTzOdrWmtP6fhbJaD\nAkBjPH2MnOKMM5ZaHNFkDvPEXRzOgtoiYOBtOOJNKa0SBCOCN54LD5VYhhxI2eKtYWMbjnEkJy1C\n/BEWwWK5ryrc1DNlg/ENvrvCCMzNllaES2NRAdVyt+IgBj3d4TQhzjO3e3y9RSmRotX5oPT+7oZp\ntryxnpObOc0ZyGxzIuREIuOwvKr3n0wTejg8ffz4dxHfq1d/ZWVlZeUPiVXUr/ygdLb6nYSXCLyq\ndkXIojiEC9fixPAunkgoTsrkOWnCmOIxvw0Drx5EvZSm1+f1lqiJrPmcgY/KeZEzAtvF965oKcki\nkwWuquL5P8SJvz1d8/f9O3Z9jZ9LaVUic4hTaVcVg10iHK/nI2MOGBEa8ZxyyeYfQ+AUA52ruHQt\nzhqmHPlivOWUZiyGV82OPgW8ccScuJl7vpruS569gBXDhOJSQhW8zcRsqa2jphRJPfEb/uLyKVOO\nfDXccxP7c+urMYLJPOrLZbkjoQym4q4xuJgIZHqUbvOUTbPhShy1dbyZDvxyvCsFX9YwbXZ4Y9ja\nYp16Vm1LqRZw5TdnK8vjhWModiUjcB+m88GtNZ7G+E+WTf1Q4vuH9OqvrKysrKz82KyifuWfGFKS\nUaxlWoqmMoq3jpfVBe/mEwBGwItHRPA4TrFM0YcU6B6Jx8Z6ftY9OQvofkm3aRa/fKYkwTTGc+k7\nxhTYuIqoyjEO57KrMUTyDDKPXPqWp9WWxnruw8jGLak3GqmtK4k2GrlOJfFl4+qy5CpCbSyN9Wxd\nxRfjHSB4LM4YnFh2ztKniS/He24Wb3tJ42GZ1hsCCSuCYEmaGdKMdcWDPywFVrVxvGr37GLNP/Q3\nHIBl57bYbCjC3mBK8ZNmRuP50tfnx/7MefYYdq7hPgzMmkCVpJmUizVoYyoq65hyIlAy+ze2ZM37\nscSKjsudikOcsCIEn4iaqYxjXlpzp5z4rL745AHwhxLfW1d/4Kl//PjKysrKyso/N1ZRv/Kj8m1p\nIw+PTzlyE05LAVMiknEYXjZ7ftLseReOnJaFyXOiiwg3ccBNRYxGzdyEntt5YOsbOuvpbMVfbp4z\npsghjmU6LobKWF7WOyrj2LmGY5x4Vm+5mXumFBgoU+60ONHnnBhTPB8Y5hzP7wuKmFaUKZefEQGX\ni8UnLFGX92E67xLsXcMo4fz9WSP3cWLO4fycHzrwFUVQgaQZRaiMw2IwUqb/vxxusWLYuJrWVFz6\nlmOaFjFuyMvvNZRUnUQuh4pF3AdNxJx5Mx/5k/aSC98ya6KOE0h5vrwsF485InGidSVFyDxadHVi\nOcTxg4jKtOxEeCzGFJuOQWisY78kIn3MDyW+z/awNf1mZWVlZeUPgFXUr/xofFvayJBmxkUcX/qW\nL4ZbrqcTSPGQZ2s4xpHWel5UO76eDyWpRjNOXFlSTZG3c8+Va/E2Fz97DoQpMbm7pXt/AAAgAElE\nQVSKuzjS2SLcrXRsXUNevPTVo5Sbh6+jJsYcOKaJrEXADnFijJEpR45xok8TWcsk+mH5dc7FF39+\njzlyH8rBwyB4U/L4pxy5jwOHOJJU6ePMXRxQ5VzeZBavPFosQg93LWqxtMaXFliUOSUOjOxtQ+sq\ngiqdc+cIz6f1ZhGuGSPCmCKK0hiHipTFY4WUi7AVKc+dtRyovDE4KUvEr9hzF0behiNTjphF5Dse\n2nqrs4Vm62q+nu6ZcmRMsXQS5FzKtDTRGE9rzHnXwJtPL8D+kOL7d7WHraysrKys/FNlFfUrPxqP\n00YerDJRy+T7eb09L0OGJUM+5YwYQbXEQkbNfNbsudCW27lnAkJObH2NijLnyD+ONx9YTJIqf+LK\nQumQIkZmPJbGOvo0U9v3/wkkVX7SbBlzPOfIP4zJnVjuw1QSd7QkypzSzKXrFmFevPX3cSRqIqHL\nwSDipRwKWldxiBO7psGKMC1pN6c0M+XStmsoBwpvDHtpuJl7VPIyVS92k8o64hI5mRahTgbjDTGX\nHYKtq+icY0oRpiOvhhMXYWAS+KUoR+fw1tFJxZDnczJOtVyPzpS/xXU44YzlPozcx5ExxpK6o+Wu\nhAB9nPFS7EP49iySO1uVPYAUyWRyLjsL5GJ52rqKKZdDUtTEnBOXfv6kyH4svh/u6tyG/txNkJbr\nsU7bV1ZWVlb+WFlF/cqPxsNi45gC1/Px7Jk/xRkReLb41KMqToS8TIGheN/vwshfbV5gxRYrS5zx\nlWVna+7TSJ/mxQIi1LakrxiK4CuxmIada5nSfI7UzI/E4M41PK229Gnml8MtcfGNqwKi1MbS54C3\nhtY6NrbCGUNnq6UZNjCmSOcq+jhzSoEpB5xkLIIrPa2gRaRecySoLnn8RZxXUlpjR414hY2rGHO5\nE1Am5oaS5Kk4YyGDiJA0cR8GtrY+J/JYEXQ8ooe3KJmt9VSa+dM48s54pK55Xu84zANfTvfA+7sJ\nCkw58GY88LLaUVtHmBPv4nHZQ4CsGWNY8vyFqJlvpgP/9u6X7H2LN4b7MJZFXuO4D+M5zeg+j0w5\n0qcZg+HCN1TG/sac+Ie7PQ+Hwoeo1OfVlouqJWjiy/EOL+/3FFaRv7KysrLyx8Aq6ld+NB4WHm/C\ncPagQ7F6FLE28Jn11NZxP5XJfNbSgFoiGy1DnnnVXFAbx5v5wJwTfS4C7+FwoMrZ893YMq3uXElX\nufIt4lvqj+IRAa78+zKjyjg+a/eLJ3zibh65bGtq7/isvTgXUyVVGutprSfmUkD1dj4xa2IXAy/n\nAUmR2RholWQ9N6HnRbNj71ru55FJS/Tj1lYYEWrj2eRUYimX6EsnwsY1zCnyNhxJS66+An6J/8yq\njBpp8Yw5EudEfbpBc8Aas1h1im1pHyeObGmNZ9vURFVmjTS2KjYcY5DF6z5rpBKHE1M89CpU1hBy\nWVhWSq9AYxxJhX8cbvgJmUocpzRyG0acmPNy7FXTcuHr8/WKOdBaf/5MHOXboyqPy0L0g09/TGXx\n+Xo+nu+6HOKIFcOTarMWSq2srKys/NGwivqVH42Hhcf+o9Kfva8Jms+PX/qWr6cDIhCWfHaAzlRc\nzydgmUzHiZATlmLD6dN0/nkvFgRiThjgEEu77JBnftY84VXTcYzTeTkXVd5MR/KSJjNrprOeZ9WW\nZ9WWOz+y2TRMzGdBDyWuEZYkFgOfNRfchZFnKkzDiUmLl9wnxQ8HgrF8nWfCIeMQRGBr6vNSbMwZ\nK8K+2pwXR6ccuZl7jAj32mMweCnWFxUtcZw5E0yioRxiKpQowqWCmiKYJ41lgdZUZIRgPJ2pqKzl\nSSo2omOaSZqptRwWHibsN3HACFz5lrg03r6bj+RsKO4f5ZAmTITJJ/axJivo8rcbU0RFsVmW61ZS\nfsYc8FigpOoc4ogAL+rdJz9DUdM54QfeLzAnyh6FLM/3ccHXpzLtv21pe2VlZWVl5Z8jq6hf+dF4\nEEzFAw05K4gSKFYOKDGLF77js2rPu3giqmJFaG1Ft6TNHOPEhW+oxXBIwzKxVkSlJMLIYnXJMErA\nRHjRNIgId2Hg5/oWZyxWTPGRG8v1fDxPikPOgHKXIxe+pTaOxjqyJq58x6zxV97T1tVLSRJUxsJ0\non/c3SowpQD9HdP2iiFOPBRVqSoIpQDLeVrj+ZP2ks+akiJzE3qeVZuStb/k3g+ppONYEUSLz742\nxXN/SBMXpsGLA+fpVDmlmai5LMEag3c1nfV8Pd9zleEnYWKaB76KA7feM3roU2YYIk9cx0xg6xoq\ncYjJ7HzNIYyMGjAqeGOwCGFJ8bkNI5WxGJElWcdikbIQPI+k+X1nrzOG03LtS2nVt+fPu6W59wH7\nqDysCPl8/ow95uNM+29b2n78N11ZWVlZWfnnxCrqV35UOlvx0/YJX013nJh5qEGKqlRGGFPAifCn\n3RUyylmwVcYui5QNWQGEztY8rYrXPmpm1ri0rpZ4x0TCGYcRgzeWnEsE5JzTWcBHLZnpU3ov1EMu\nvviclZgztSnlSS82e2TgPN2vjWXrmg8mvDehp7UVQ4w4Y9EsoEXAJjJVimxcReuqkpIjxZP+tNpy\nWu5UbFzNZ83FOeoz5XL3YIiBMQZq61DglEaiLq27KnhxtK5CFPa+ZYqBe+dx87jEXyqClP2CzRPE\n1Uz9LU+TckwzfZ5xOXE5Bt4pnJzlGEdA8Vhqk2mcx+di49HluVtXlTsjgNGyP5DIxFy+15hiB0oo\n3lhEy3LtlAMGIbp8zsp/Vm0/uBPyMVtXfyDs62XhubFuye43RE2/Isw/zrQ/fnS36PHjq6hfWVlZ\nWfnnyCrqV350ntVb3swHynqokjQhQGc9p8VCIQJPq46QM2MOxJyXZBfoXIlNtCIMYygxj8ZRG0+k\npMioKkYsVgURAZQ+B2KOHJfX0VjPztXnhd0H3CIqjVkm0Eu6Sus8zplvtYY8iMFTPfHvRUvTrBVi\nFhKAQjBlonyKMyGXPPiZxKtmf/49DwL57/t33IT+3MiqwC401NlxlBkrcIwzFqFxnufVDmcMQRNT\nDBzSxEzitPjpXc5gDWOzZV81JbVmOJKrDl2iMYOmcrAaE2O3Q1BOYeZJ1ZFypjUOTObKbZk0E1Ok\nT4GRQOP8EhlqsDy07MpSvPVwHTPJQm3Le5xz5BBGemOoouWZ3/7a/PnOVnzW7Pl5/5abMDCnSBnK\nCzvb0LmaqOncXvvAx7/zh2qpXVlZWVlZ+X2xivqVH53OVlz5TRHhy+IsZO7CwNvpxN6XVBpnDI11\nJEq2eaXl66SZMQU6WxFzyVKPlCVMVGhMEeYGYcwBZywhF89+0JICAw/58hkngiIMqRwQHMLGlMKl\nMUU6W7NzFc5YbsLp/B4e89iffek7uu0z9HhNSBFnLQbhwMSdr9ku1pDalIQeJx/ms4cc+dvT4dye\nW9syxZ5ziZ28iwPblHgeJnKcCFgm4/DG8qzeEHLiH/obMmWSfvKOOzaoQmMcrTHE0DOlyM+W1/Lg\nRS/CPmOzoppBDMYY6qUF9xBHxiWL/+GORuM8SRMWizOWvWu4Soo7HdiIIRjhjTEcnCPmkvITU3Hb\nB8201mMoh7X7OPLTj6wzH9PaitZUnGTGunJnprGOyrpzRv5v8sr/UC21KysrKysrvy9WUb/ye2Hr\namrrGFPgJgxlQXWxYwRNpVAqZ6ImppwWb7bFiVCbYrl4Um248A1W4DaMbLzHxDKVtwitcRigEsMh\njMw5Yo3FGFt875SGWExZ1HxoWvXGEUi0xvOi2f3K1Pdji8an/NmbzRNmMezmgRxnjpq5d5bBeWwK\neCmTf4tha2sEzpnrP+/fcoozN7HHYvDZsrEVN/PAKU3YaWQbJ1AlJ8XbzG6akCpQt45DnMiUZlhR\n2ITAdurRGIjGEpotI0JEsa4i5ETSVLLiNaIKkzHLISKRcuYNiuOCMUUQlqQhYVwKuwTD1pU4zb90\nHbt0pG4vSarchYHjcA/tnqNzdFXFV+M9qqUAyyBklM5U5RD30ZLrxxzjREbZ++aDxx8OVi/q3W+0\n0PxQLbUrKysrKyu/L35UUf/69esW+D+AF8AB+K8///zzNx/9zP8C/Kvltf2vn3/++f/2Y77GlR+H\nB1E1pCLk52U58sFPfYxTma6nafGtF+/6tBRDCYoXy0/bJ0RNfDMeeBtO9GYmZaW1DjHCC/EYY7ie\njszLvxtTKTqqFnHvxbFxFaelPdaLZbOIu48F/V0YuJl7vhzvqIzjRb39pAh9We/4BiW3F9yGnkOY\nII60JBIgmsjq2LuaJ/Xm7BP/cjxyPZ+KZWVZAp1i5D6MZ/9/O/dEwImhcqXNtXOevr/jm6o5F3U1\nxuGnkaq/K3n7KFWOXE4jg6s4OMdba3kZAm7Jxy9Lx4kbV5OhrCBrpk+Rm9jTmlL0lTSSVUEM3jie\nuI7KOVQz+XRDFktdNTSmXD9vLAcyX7rmvAx8Fwe8cUw5YI1lzIEuV7/RAhOXA8iU49k6ZSl3E35b\n+8wP2VK7srKysrLy++DHntT/t8C//fzzz/+n169f/1fA/wD8dw/ffP369X8J/OXnn3/+X7x+/boG\n/p/Xr1//n59//vnNj/w6V35gzoul84nGeu7jQGs83lhOceY+jjTWoyiRxNvF9rJ1NVYML+s9L+rd\neUr+otlRWcspBkB5Ve/pc/n6MWMOzDlyH0esCK/qPU+rDVfV5oOW26RafmYSoharyJvbA7843dJY\nx4aKKQf+cbihFse+aj94nsZ6XtYXODEMeaZPgSxKyopqxNuaja259C2nOJ2tINfzgdsw4KSkyUSU\naXldzhisGDqWfHbjuHANjfXsXU2rmS9UqUxJwhlzop57ENCyXUxGykLxcKDaP+NghdrVvIiJC+BW\nAzfGMBq7VGUJKpSeAHHMOcAje8yUEzYFgk04NVix5BQ4SaIfA53xy7U21CJsXU2SzM43THmJ+1yE\n/c/7t/wdb/mH4R3/6eXP+JfbF5/87JQDkH7QdZDITCksyUW//WdwFfErKysrK38o/Nii/l8B//Py\n9f8F/I8fff//Bv7N8rVCiSD/cV7ayo9NZyte1HuCJpwIN/PAbRh5Ox0wxhByxIiQ44wBrnURhaps\nXX22W9zPA29DT2UsT6qO1noa60lzZnoUP8nDwqv1bFwRc0ETlbgPCo3mHDmlMvE/PhLc81gaZrPq\nkn5T/vO5i+OviHp4b+WIebHCIJjFPx81Mecy7a4fefz7Jf0n5IRzHskljjLkhBGPEbC+pqGI251v\ncFLSfhrf0FjHlW2pjeWb6YjThBEHRshLPKgVwSqIrRhyINiKtL3gfu65PRmmOKA5nV+rozR6JTJR\nMxtboWTGVOb/3joOaSKL0hjPJBDSzJgjk63wxpYFWeO49C2Xu44vwx2HODHGmbs0cIolqtOJ4Zhm\n/t3xS4BPCvutq/mU676x7pOPr6ysrKys/DHwg4n6169f/zfAf//Rw18Dd8vXB+Di8Tc///zzERhf\nv37tgf+dYr858mu4uupwbl1u+008f/7pxJbfN12ouB5PMMJwDExzgFRy5085FkuEr1BVEoluU/Oq\n2/Os23I9ntjSMIyRKhdhfFm1tItgl0lQVd5MJ6YUyUZpKocVS1V7OutLLnoVuRl7jBEaX5OS0knN\nztcc54nWVETNHPo7nmw2VNZhjWW3CPk6R662m195b8+aDb843XB/OxFtsYgYilBWMurg+eWWzjVc\nNRvejEee6Za3c0+OM8mUtl2i8LTesqsrhhTpafFpRAWqusRYzjkwbjsyyolI0AwJbOW5sB5R4XYe\nSFoOJaZyGC9cmCWtprVsfYWfHTZb7HKHQ6Sk8Xhrqb3HaqKtKloq+jAhCNuq5t1YLEPZwBceLvIM\nFk4m8LPNljknpu0l0pb/5ez2LZc0TMlxexiofbH+PCQGNU3FVxz4z5//y09+bsYmcD2cOCy7Bduq\n4Vm9ofMVz7f/ND/rPwT/VP+7/ufGeh2/H9br+P2wXsfvhz/G6/iDifrPP//8XwP/+v9j7012JLvS\nLb1vd6ezxt0jPIJkNszSLQmc6A30BNJcE800qFfQKwgQIGiosQaaCXoDAQIkTeoFqijo1m3zkkFG\neGdmp9mtBvucE+4eHmyKZDCYub9EIklzc2sjEmv/Z/1r3b/tiy+++N+B5VPeATePf++LL764AP43\n4P/88ssv//vve57r63eX3QoPefFix7ffHn7tl/F+QuKuH7k+nrh2A6N3szdacOMDyUXOq44Kje1z\nWszfH96sE/Tr6cRis7lJPbXUuXnUO6TMuS7JJgg5p32nK6SDyTmc8Nz1A4O3HMOEFBIfPRvVsDUN\nLnpe1Dk7fVd1+Cngc0Alerbb19KASO/4s1+fjvz5dINzOV/ex4BNcW1qrZQg9AmvPNfjievpRPCB\n276nDzbn6wuJ9wGH51ubs+SH4GmRnLuJ6nhHW22wdcehn9b89QS4EDjIhnMXuKw39FgOwZNIDKpC\nW0+fIqN3OJubeEUki/6YW2KRIrfixsQgJnaqYZwcej6gbGWdi6RCwtpASJarGNlFeO4DDYE30kKz\nZ3KSYbyFizP8yTMNgSl5Jpev1AiRF2ZtDIyjZcK998+tnyKbVLGhylUHDkbnCCLy7fAR/1n/Gfno\n/17/Riif489D+Rx/Hsrn+PPwYz7HvyTx/6HtN/8P8F8B/xb4L4H/6/4P50Xa/wP4H7/88sv/9QO/\ntsKvRKcqaqkQQrLRVU5Mma0wJBiDx8fIy2ZHpwydqrhxPWNw3Lier8cDicVa8jZHPi9QKk7BYmRe\nKFVSEgE3x0Oae9GGUkhiigRgSBYdJSBW7/Zlt+G1zf8noXgbQ/lyjlF8zJKSU8uKHocUEk3KC6aA\nJPvml8dXQjANt5yfbrhMgSgNY9VyFIljmDBCYUMgEem1wZoGa/KViXNT48PbhVONREtJqjfc6ci5\nUEghkbrG1h2izh0APgWUlJz8hA0+e+SFBAUhRlISJCJS5s/2+RyZ2emamAJjCKQY2esGl+JahtUr\nQ6w6Lqstfb1BCcmzasOdG3nRbLkeT2x1xeQcZrZFydk7U82xkq00T36u8POm19yPIy0Ls4VCoVD4\nrfKhRf3/DPwvX3zxxf8NWOC/Afjiiy/+B/J0/r8A/gb4N1988cW/mX/nv/3yyy//7gO/zsIHZprT\nb1yK1ErTxpzhjsi55L9rzvi8e7YWM/kY+Wq45doP2OhzkROBraw5qpxiM0ZHTIaQEp/UWzbScOMH\n4tqsqnExUEvNKU3r82shcSGChnp+vjF4/tPNS9QkuHKneRnV8LLe0qrqnUjLa9czBUejDC/mJVwX\nPbXQSCHYqpoX9Y591a4Luo2dUIcbNkKi53KmnRu5E3ArJUKJ9SqBErmgq1KaREILQasqRtsjEdRK\n0SRNIHEUkdfNDtltqYKnIh94Tt4yBIuLCRhR2fUPZNtPV7XIlCf2SuQs+FoazkxLLfNy7j8PNwwx\n/86N67Ext/pKKRFCsDNZZC8JQffbYs9NB8DBTLyxJySCRuo1cehvuufv/fPyc6XXPBVHuvx7EfaF\nQqFQ+C3xQUX9l19+2QP/9RO3/3fzP/5b4H/6kK+p8HFQz2Lu2vX4GBEii+5Gan7XntHOQm+ZxI7R\nceMHbHS4lBdR+2ARMufM702Ni5EhDozBoWa/diUVMZGLraRmwiOlQMa8bOqiJ4pcFlUJRa00e90A\ngs5UXNZb/tXm+QPB98309CW+KQZqlUWwFII7N+GJhBh4UW/X99TMi72bceDO1IwxW2TEXAm1tQM3\ndYOLARezLUlKvR5wYkqMIXBmGgZt8tWGlPBLuoxQuOh5Xm3Z6lyoNUXPIU3EkIgpwmx9kXhCylYc\nmcj/LAWNMijU2t6rheBvNi/QQvHvD1/z2p7oo4UEWio6WXGmm7XMqZaaC9NxFNP6+bTK4FPNf77/\njG+n41pstdcNX2xfvjf9ZuHnSK9Z7EpP3V5EfaFQKBR+S5TyqcJHwVbXXJoN30x3ePJyppQChcCF\nwMlPPDNvl1HtLG6H4HEprAugt36kVhotJUZKfAwo4NV04KLqcsmTzHYPJQStztGUKSZcdKutplYa\nJSR73fJps8cIxefbZ0/6td+Xjb5MpbVQ7HTDTueypCkGaqneaS+NYeLctLyxJ8bocDFnscfgSNQI\nUvadJ3Ax0qrsV4kpzWIfRm9JzH74mU4ZfIzY6GhVRS01d26kkgohJTpB4yydHVAhMJA4Vi3oGpLI\nNiEhqedm3Ez+XyUECJBS0ImKIHPzbaM0W10zBMdWV2xmgXzfHrNM5Ifg+Neby7WL4LvE9M9tlXnf\nd/dD8+4LhUKhUPhYKKK+8FGw1TVaKv7YXnDrxjU60ghFpys+bc5QUt6zSiT83DSryOI9khii47U9\nIYRgqxtaaRAplz3ZEKiUohKaRucUnESeRichgNxa61KeVl/ZPi/B8t1ebX3Pl//4PW11jY+Ra9ej\nhKBTFSpYQoq0yjzIxj+PkU4avkkRF5e6KLACmK0xGkWuWwqklKiEYkw+X7lwA7XUvLEnKqWppGKr\najpdZUtRjLysG4bgGKPDp4hGIN3EbjjN0/rIRih23nJwjl6b3LSbEp2qUQhu5wPBvzt8zavpbv4O\nssiXQmGkovcWhEAjeWa69bu7MB2XzYajyGVaO93wWXP2g4T5L2GVed939/jAVSgUCoXCx04R9YWP\ngmylMCQ6ammwMVtEjFCrPWXh6Cf2usUmT+9tznFPITesCkUkT8O1d3zW7jnN7awAe9M8eN4X9Q4f\nZ7sJcGV7QkoMwRKl4cb3kHKyzT8erzhM4zodXqbGRz9xCtmucf91Lvf7U/eMF2G7TphDjNzF7CMf\ngkMKSOORdLqhPt3SArJqcMZgUHxb5fz5ac7tB4EREkQWn62CnW4wMgvRY5joZMVF3aHIXvhKakJK\n7HSDADpV87IWiCSQ/XUW4ELgkyCRM9/3wKuqyfYlqdjIKlt05jKqKTpu/UAjDa2qqKTCxcDBT0zB\ns6OhUQqbPOO8X3D0E38yz9dl5h/DL2GV+TkXbguFQqFQ+DUpor7w0bDVzVrEBPDn4YYxOMbguLb9\nWirlU2Cjq3UZtg9zjKPMNpcKxUZX2RcvNWPw1EozhYcT2WUaa6SkUXkiXStNfe+vhQ2er6c7Pm3O\nSOntdPja5vjNxQaihGQILnvgn7CRLP7vPmR7jJKSr8c7jn5kHG45H08MqmIwFdr2nLkJ0ezpzy6I\n0xWjnUCInP4DaJHTbWzynJt2FfQuBiSCOz9yWW+pZ0EPcFltVzH9WQOv7ZGDnqhRjDLNaTgRg0Cj\nOJcG3ZzlqwYpcV51JBI2epSQTNHjQmTwOUZ0CJaQEpFEIHHjB24cHNzEvur4U3vBTxmA/xJWmZ9r\n4bZQKBQKhV+bIuoLHw33p6aLLSWSG0x9CryxU/Z2S0NIETen3izJKiJGxuDZmxo5u7+1UFxWW2zK\n+fb3WRZVXYyc/MSNHWFeUF186Q7JjRv4tHnbkzYGx1fj7dvG2BQg5Wn5VjffOYVeps2NMhgpiSS2\nNsd3RiKTUoRmyyg1KgWOIiGQ+BTnqMecRFMpzbluuHEDg9IcgyXGwBAdNmar0TfTESHgebXhZb3j\nxRy96VOgUYbLasuVPZF0hbEJoxRR5gycQOQqWI72hELS6SovzQqBTwmfPH2waCm5mXqOjLkVVkq0\nVBgUKeXXOiaP8AOvreHT+ux9H8338ktZZX6OhdtCoVAoFH5tiqgvfDTcn5peh57tLCQrqbHRcwoW\nheS87fj7/jWHMBFJaCkJ85R5CBNW11zolq1peFZ18yRdcPKWK3eaLSuGKXr+cbjm5C0nPzKE7AOP\ns+hdbED/PFzjU+ITsaeyWYi7FN95/UNw60EBnl7qXKbKY3Bc2YGDnzhzE0hJDSih8MkxJU8bBS4G\n9rphDBY9Z80rke03tTLUweWUnzBx8DnKUyCQQszZ8rmdd1na7YPl1o1M0aOEoFEVZvcScbxCkAX/\nrR2z777usG6k0zVbIemDxcXArR8IiTlfPgt9OyfoANRo5L3zU5yz66fg1zXb/xiKVaZQKBQKhfdT\nRH3ho2KZmvoUSMCtHbhyJ27cwBQcQkAg8dVwhw0BRc5Dt8LPfu881TZK8cf2nOfV22Ko5xVczt72\n1/bI6+nIGByBsFpiXAjIOfbSRc/JWzaqpg8jU2i5thNmbnp9zCLe4emlzq/GWw5+wkbHGDwh5UVf\nLxVET4gJLQUpKbRSCJkPOWemoZrtLbXSpBQZvGeMnq2uufMjPiZ8iogkEDLRygqZ8g6BJNuLXk9H\nlMyxnlN0hJStNE4bQrvlwlmMt3glOZod0eT0mihAW8lJTrTKUEvNlT0xIvBEKqVpMESVSCSm4LEx\nouYCrCXisplTiX7Knw34ZawypYCqUCgUCr91iqgvfJRooTj4EZuycL11I1MKyCRwcymVTR4AJWS2\n1syLoxtVc1ltV1vOfZZDwxt7Ym8a7ubmWi0VrarwcQCRc/AVglpqjFI5OjPm5zt6x+ftxfr891/z\nMjV+vNQ5BsfBj4QUGYJnio5TsIQYOVQ1z8aAT4FWNAgleWZa2vPfcaY0PuVoyxs30PuJfxnvGIKl\ncprnZgtE1Bx1mZLHRIUXkWOwdLHCR8e305GTH/m0OXsQJalFjgUNpua1afAp0YcJ6ydccEzRQRBc\nhRPP6k0+/CBppGFKHhHzYcgIiZ8XiqfkiTFRK0EjDTtdszM1nao/SqtMKaAqFAqFwl8CRdQXPkq2\nuubVdMcUPWPwvLFHQkp0ymBjoJYGlRQWTyKSEijEmo8O371AaWeB7mPIzbNASjndXSVBIzRSSiqZ\nF01FgjEEKiRbrTibm2D7eTlUCcFnzX4VgY+fewgOyPYaJcRqf0EoNttLUtUjp4FaGja6pt2/wLR7\npBu4tSORxBgcr6ZDfu1CEGLkjTsiEmx0w1ZVuBQQCGwKOO9BJLay5nZe6uBc2V0AACAASURBVD3M\nh5hF2O90gxR2XeK98yMuehLk90++3yk6am95VuVEnT92F5y85dYP6+cZUkSkfMhCRiDRSE2nK8aw\nlF99fFaZUkBVKBQKhb8Eiqgv/Cp8n92hU1VOWAmeSERJSQg5LvEQZu+4TKi5HCmIOC/R5ubSgx/X\nxtWnqKTmzg8kATZFQoyz0JbUSnOhW2wM+Cz3Oa869lVNhaKWZm1HbZV58vU/XupcRL6afedZ3Na4\nGGikIeiKdvuS/+zs9wBcu54xOGz0Oc4yeA5+pA9uXUCFtNqEkh9zuVbMcZ5TcCRgoxJdVRHn1Psp\nevQcL9kHSyVzXn8lFSCYQsj2Janw0SOlwqf8GRzDxBvbE2Pkd+0eLdTs1Rf0wSERJAGdrKhFjhG1\nKS8y7039g/PoPzSlgKpQKBQKfwkUUV/44PxQu4NAUKscSSkQ9H5iiAEhsnc7phztKIVEpzxVb5Rh\na/I0ON17vscHiJf1lm+mA5XItUkhZVFvZI6mNELiY6SfbTgxJdIIXTD86832QUTl0U/cuJ6jn1Zx\n/3ipUwuFT2H+HYeb4zUbadbs/L1u1/c/BMs/9dcM0VIJzc40pIG5GAsUEQHIlAgpYlNAzGK/kxKN\nwKW0lnN1qkJAjvecl2YXe9K5aWmUoQsOJSRfj7doqYjzz9M8cQ9z4VetNC5FNkrzQu04+YlX0XNw\nI0lAJRRbk0uvAF5UO17Wu49S0EMpoCoUCoXCXwZF1Bc+OE/ZHcbg+Ad3xZlp3nrTU6IPFoApOO7C\nSCR7ukkJhKCWJk/1pULNUZRHb6lk9uS/sUfG+Nb7vhwgLkzHy2rLEByV1LiYM+pJWcT2weZCpaRw\nBIbgCDGy0w0Isb6u7zucLIeJnW7WKMlOGSAxBk8zT/pbZVZrSh8sY/Rz6Vb+K/raHvP0PUFMkYSA\nlBAiosiNrld+IM4WpUYZtlKxn0upFiEPUEuDAGqZW2ebudn24Ef03HrbR0tMedm1lRot9eyTV4gE\nJ2/pfT7wHMJEZUc+HU/I5HHijutqy3XbsVMNG1V/lLabhZKqUygUCoW/BIqoL3xwjn7kFCzDbC8h\n5Uz4Rmn2plnF8ZQCG1VxZXuO3iIQiJR98NmSo5hSoCZRC0kkzlPyLKgTia/Gu7W06uFrmHheb5mS\nR9vsxT/4icFbpuCZUiTEhJGKvWp5UW94ttmhrVx///3vb1on+fen08tUf6MqBILLavtOA+3y+2Nw\nHP2IS7nt9ugnEDJHVc6trzElYooYZfLBJEVSSvTB42PMBwhpCLyN31RCra9pSRnKuft39GGi9w4p\nBFoqtMzHJBdyJGWr9JyuI/AxcIwWkSBNJ17YkWO02JhIKdHFWyYhiF1F+AVtLD9Hak0poCoUCoXC\nXwJF1Bc+KH2w9MExBMuNGziFiVs7opViqxq2quGsaoE8ka6kJsw2Ei1zoVG2jei5gCpgoyfNVpG8\nFDrSKM1lteWNPfKNPeToS6DTFRemY8KhhOLOTbyZerSU62MIKZERhMz2n0ZpjFTEGAgpe+K/y2/9\nvp8tIv9lvftOMXr0Iwc/UkmFC2FdkvXBz5+HXV9rJTWtqtiqmkMYmVIixYBRgki2D3WxAgRDmEhJ\ncP0oq78PllOw+XMU+SCjo2RKAS0kz01NqzRHb/HMOfvJ44InkDifeqRUaCQ+ORASkuDMO5yUDMHz\nejryeffsB/35+KHi+udMrSkFVIVCoVD4rVNEfeGD8no6MkXHP/RX3IWREPO0WRNppOGr6WYW0oZq\njplM3CAQaCHxKSCFJJEdOErk+8S5/MjI7JEXwBQ8d37iFCz7eQp+8CNjsLSq5tNmz2W94evpliku\n022Njoog8+KtEQof86RbSrUuui5+6/te7KUFF9L3CtKnROQiaP9huGbwua1VIUEkEjAmR6dqNsoQ\nyDYjjUAKhSdP9BWSKBJCSEDOS7UiT+xTyMvH0efPnggI9jo/piBxsqd1rm+EIiXQUnDjR/S96igb\nAzFBHy3PoicImaNFZf5cIgmCJaacn3/lTlyG7Xvfs08BF+NqUVo+2+8S6SW1plAoFAqFtxRRX/hg\n9CE3uvoUmZLHhZzJQsqWDQEMwTPM6Sx73aKkzEJWV0QfyJI5L7ZqIemUgnlh9pnesNPNunh65U7k\nhJjAyVum6Akx4kj8rtlzHlrOTMsf2guu7IkbsnCtFAzRrQuoKUVu7QCT4M3o+WY6cG46tqpey5Su\n3cDBj0gEL6rtj54aL1PnMThcDDgCLgZaaTBC5eVTVRFSwpNyfKdQBBKVzNchIgk/C3cBaCHYqIqt\nbgkklFAc/ci1G3JRF4KQPEuKzhAdiGytmYJDCsl2TiGKKRFIaCHn1zjHXgJRanwMhDnpJs3pOco0\nyDm+M8wZ9o/tSPcn7Qc/rlc57tuS3ifSS2pNoVAoFApvKaK+8ME4+gktFHdhRCMx96a6GoGLgUqq\nVZRd1luGYGmVppaaoGp8jLn/NSVqaaikwUjFVhsqpRmjY08W9S5FQoJK6FwUNZ3YTgPODQzVNf9f\nd8t+85xz06JFjsZUUjCFLG6XhVwrsli1yefJfMrCcYiWFMg2l3lptFH5uW5tFs7X9sTLev+9Hu1v\npyMHP3JlT/Qxp+OEFJmE51m1IZI4NxvG+PY1zBcNOFcNQ3IEn/IlCiGQiHy1Igb+PNxwq2uMlNza\nASHzL9qYc+tdjNiYrTYxJWzI7byNVDnzPuZkHS8EMQakFJybNsdrEjlVDWo8kIBaSnzKC8xHU0MM\nbHVeDH4sth9P2pef98E+EPXvE+kltaZQKBQKhbcUUV/4YPgUaFVe3GykYZjFY17CnJc3ZbXmwHeq\n4ugnPu+e0UrDvz++Isw2DSckRupswyHRqXo9JCzxke2c8lJJiR4mmmlgmCfMOEtzuuWVtxw2z9iq\nmst6QyU1Rz+uiTF3bqSec+KDSFQ6P8cSDdkHy5lpUWa2tfgxt6pGz6XZsr23+AtPT+3fTqwTY/T4\nGHApUEudLThCEFLiWdWyAwZvGaODAI3S/L4759YOHNzIFBMxeUYhEJEc90lu4T35wKvpMH9iOTJU\nCegRJBJ29tAjwJDtNEKw7iIM0RERTMEjhCClSCsrUlPRC8nLENhLwzFF7kyFMzWtUJybFiXUO2L7\nsVhfvrfHTcDvE+kltaZQKBQKhbcUUV/4YGihaFTOYw8pMsbAGC1aKDa6opUV/2rz/EFJ0SL8dqah\n1RXaDqjxRPAWoSps3eEquT5Hp2ouqg6ARmr+9vQtp2Cpp2z7CTHmoqUENnlqOzC1jkZqPql2nJuW\nr8a7dVGzUblRtg8WmyIV+bninIJvk1+F6I0bGKNjnA8rxziBg7HKdqLFRvJ4GXQIbhXuvbf4lAug\nnJ/Y6waJZKfzoaX3lmOcGL3PdhngFCyQ1s+sj5YYI3dxwqeIFLkN92a2PrkU8qtPOdYykpN0kkjE\nGNFSo5Gc6QbmmNDFQx/mvYOjn5Cz7UcisHXHZDoGXbNVBjlHfkJ+DiXEO2L78aS9VYaDD+veAuQ9\nhSAi/zLevLOnUFJrCoVCoVB4SxH1hQ/GMlltleHkNc+qlj4aVMrZ8xtVvTOV1SLnzR/8SOss2+lE\nFBKnDLVU4CbulEFLzV431FJh7om7k7d8aw/YGOlJaKlopMZGjwRMDITZNtMoQ0iJl/Xurdi0+WCh\nkFRCsFRayXlptBIan1L2qts8NbYpzA2tgEjrjoBP4b2JLZVQDNESiMSUvet+LpiaYl6Q7aThlT8w\neEtMzHn38GY6cu2G7O8Xgkqo3IMbsy3oTHe46LMvfv5vXjIWTNHleFAhqYVBzJYbphNpOHImNEFr\nYt1S11uiTBzdxK0f6WSFknK27eTX6lNcM/Gn4Nfv8LNm/47YfjxpXyw3Zi4Ec/OCspJ5MfqpKx4l\ntaZQKBQKhUwR9YUPRqcqhmC5SpFaGeRcdBRS4kW95czkKMv7wm2ra76ZDgCce8vt/Fi1NHgCGsmF\nc0gk56Z9MOWH7Mt3KeDaM9Jwu6bTSCGBhFBVTo2ZDxM+Bc5Nt76GZXpcK01Va27m25dSqE5XOQoS\nMFLhYiDEXJEVReKIw9gTrTLsdPNkYosSgiE6TnPBlY8BGwMIsELTpMi+qjl5mwuyaHAp4lMWvXd+\npA+OKkm0EAiRi6kkObv/EMbsk5/vr0SevmcLTU6nyYepREjQecveDiSh6GWkcoGXSdLLmtcycQjT\nfECIxJhARBqZc/4FgkpqtMj2pWdmw2X9burN8v3Cw0n7RdOtt38zHXBJvvN7Jd2mUCgUCoV3KaK+\n8EHJ3vANS2L5V+Mtvbd8Nd5ybXvMnHbjY+RP3bN5Ems4hcROaJw0cxIL2ODwJGw88bp/Q+8nfIz8\nsbsAsvhb0l5MvWFnR9Lc5BrmDPyh3aClXEuYdrp5IDaFypNmAWx3NWIShBSoZRbpgjxB/mq8fdvQ\nKjVjzBnuNjjuEDDc8K83l1lwP8LHyD8OV9jgmYLHkgX9VtXUWjOlQCsrvEqEKWZBH+M6JfcxoOaH\nNdKgUshCOUaSyP5/nwIxJgIRkRJCCjQKPS8Ruznrv9UVezfRqgotJHvd5CsPStIPt8jtGVpKdJJM\nMR+QJhR7ozBS0miDjYEL0/HiPWL+Pt81aS/pNoVCoVAo/HCKqC98UHwK3NqBa9dzChM3NpcsCQlS\nCGxY7hd5Meeab3VDrQx1d04nDa/tkdfTgSkGSAmnFIHIjR/4D/1rQopr1v216zl5S5SCi91zfucs\n1+Mdh+SZ6g2m2bLT9br0+llzBjwtNl+c73jmNg9u+5fxBoXks+Yse96D5eQtIVhG71BC0kiNEHDl\neva6XWMwIXvGX013DN5hk2dM2bIigEBAkoufhmjxc0JNSmkV9JANQTvdMHjHFHNL7xAcPuVUoSnk\nqJxAhAhKSaTIC7hKCHSQCJFv8zFSxYhUilrkfQIfIld2wKbAFDZoIdlIw0Tg5CciAWs9lVCc6xZV\n5eSdnzpNL+k2hUKhUCj8cIqoL3xQDm7ilb0DYIqeSOTaTWx1jZPZdnL0ExemW1tIF++1b7ZUdqSS\nkkCap+SJW12RokcJya0feGXveFHtgGxNWbiTErbnuG7HmVRZCAe3Wj+kEBz9xI3r37t0+XjJdZmY\nN8pwWW25cT23biCkyLluaXU1x3RG+uA40+2Dx7txPTduoFaaGkVw2bOfAIViq/PE/M6PpAhj9PRx\nbpedC7okEo2kVnoWwcv6akDNZVxGKCyJIO4lyyRBqysujAZyms0pOHqR2CXoTL3m3yspaWRFrTQH\nN832HTlbgHJ7rRaSr+0dichrdSTBD5rWv4+SblMoFAqFwg+niPrCB2WcE1sgJ8gYqTgFyxgsUuRs\neRcDMSX6YFdheGE6jkJx1QwEP7LTDVfBcVdrrMmZNFPMvvFX4wGFpNMVCjk3p2ZBjBu5dj21NNgq\n0KmKnc659n2w62T4qaXMk5veWXJ1KeBCbkFtlOFTdcYYPJ2q1ojN9f7Ro6Xk3HTrwWAMft4vyPep\nlWaYC6hGIYgxMYmAD4EJz07XRBJ3DPR+wpiWra5ySGWECkk7t8eKxNy8O9tukEgRqaVh6z2tPXA+\nDbRVR7u55BWRKQVOVcuF94zR4RDsdJ1LwZpdXogVCRcTg59AiHwgItuIru1AjIk/dhcc/LhelfiP\nEfYl3aZQKBQKhR9OEfWFD06nKsbgkUgqKTnTNbd+JIVcupRIDMIRSby2R7SUXJiOl/UuC2FTM9kD\nV/0NNuZGVB8DUSQaY9ZkmoOfMEIQUo5ktDHk+6ZIK+AUJtJciuRT4sK077zW+0uZt3Z85+eNMvgY\nMXPGuhaKZ6YjpLgeJhaWBdL71p4re2IIjlPMC7RZIHtaaXhebRij49aPa5QkSmNEnszvTEunas6r\nljf2RC01LkUqKRBOZBEPSCmRCHzyCAFnMXJuB0JMSCnYonjhHVXdouSek66xMWKmgeA9W73l4uwz\nkILJDbmsSuRQz1aauQE34lPCIOiDJaRIHywXdD9psbWk2xQKhUKh8MMoor7wQamkXqf1tdRM0dOq\nikOwaCEJIqClIpLm7PeeT5v9Kgy1UCgh2OmGraoJxFWsG6lopaFThlrpnBefYKMqBn/KNpgYOdMt\ne1MzBs8UwpzAEx60mC7cX8p834KmkZKX9e7BbQl4bY8EIgpJozStMu9YR/a65WQs0UWm6BEpUSuN\nSZJKalqZU4K+Hg+4FJExEEjkfJ3cZttKw4VpuXMjY3BoKZFC5J+nvKuQUsoiPyXOff6sjVaElIhE\nQoqI/o7N7pwz0+RM+vac3lu06diZhsN0S4iRTtXZax89NgXG5PMxKiWkMOsycP5eymJroVAoFAof\ngiLqCx+Uva75esrBlEZKQDHF3M6qkOg5Z17LnKYyzlnnizDc6pqDrwgp8lmzRzvBKVhsCOx1zZlp\n+V1zRi01N27gzg90quayzgeKa9fTqYpK5iVQgGfVhmt7evL13l/KfN+C5uPbt7rOjbCzlWaZ4D+V\n1b5EbmohOfpc2NTJirMQ2VuLDD1X0XLlJ6a6YYr585Bkq04r8+PFlLjxQ/55JF8pSAkjJJ3M1qAb\nO6KUQNg7YhJoBFoqQKCEREbLZv5sFgTwxp0Yk2cInkoqWqno1IYpOF7ZAwrQQiNkztffqCUBR37n\n51YoFAqFQuHno4j6wgfFSM0n1Z5r12OTZ6Nq/tBcrMuzJ28f2FYalQXhIgw7VeWkmUmhhcwtsyJH\nUtbS0M7edoBPleEybmmV4ZsJEom9blDibfrM8rh7/a71Bh4uZWopubb9KtKX57p/n2WRdgoeGwOd\nMmz17r1e8OX97HSTk4HcSOstYfhmvY/wnks38XWKnIxBzznzvZswRvLGnTh5y8lZPAEBRPJybC7V\nqvik3pFS3itI0qDnBd+l6fX37TlRHklLcVT0HNzEMYyQBGOwHPyAjYGNqmhkxe/bcxCCOzew2Jqk\nkOxNQy01narf+QwLhUKhUCj8MhRRX/ig+BQ4q1rOqocieoh5oh1S5MaNhJhtOEIpxuC4aLr1vp2q\n+Lx79uD3Hze1LizpK0uSyhgch3uJOO18AList8D7lzL7YMELWmXoQ5rTbCyN1Gtijo8RN9t4aqXn\noii+d7nzvm/83Fj6N3/PQQhiykk1Y3DUUvNZSnytamKKjNFjpKLTNbdu4M4NRJGtPpCtOYLceLtR\nFZ/Ue67mxts3StFMJwL5fY7B5eba9oyTn5hiYAqOKeXc/EZqTsHNOxCCkBKHMFIHxV41a5a9zF20\n7HWzxmxemK544guFQqFQ+AAUUV/4oLwve/yy2s5iWjIFTz8LWgRMswXnu3hfUgrkZlKfwrrQutcN\nUwzUUrPVNWqOslx+73wWon2w6+/eupGX9W5NuYEstq/dwEWVDxy3PkdZAg/8+d9OR1plflCCS6cq\njNAkVXPnx2yLEQIbPSKBUYrRR5QQuOiRQCVVvvqQcvxkvtIhgIQIE40yvJoO7HXDN/aONxJ0Zdja\nRJUCr8OEJXCuJSYlruwJKQQh5ecZUy6vImWv/BQdUggG73jR7OiUYYp+/Z6eVRs+a/Y8r7bf+739\n3DyOHC1pOYVCoVD4a6GI+sIH5X3Z4y/uTcqNVGwQuWAJwTGMfDsd+dOj6fx9nhJzwIPnWuIVL832\nwQT+cUzltesZgs0RmDNTdNzYAUJaBfuS8rIQ5oPIjRuogiWkREiBkBK/b88Zg2MIPf8y3vDMbNjo\nipDSOwK0Nh2fSsN57Hg13tFHiw2eQQiuphMIwUYZQDHMYjpn/qf8n5RmC07+507m1tg+WHrvcpOu\naRhMDSRqqTkkh7ADx2BRQiCTpFISG+NqJ4K83KyEpFMVjoiel5b1fDXhmdlw+ROy6X8K7/su4acX\nYRUKhUKh8LFTRH3hg/J92eM+RYxUa8Z7IHIKltf2/aL+vpi7L5wF2S/+ONXmfsTi0U9PPuY305G9\nadZ/X7z3fbDr44WUHiyBKiFyPGWwXJg8vT/5nLV/awdsentI+NYeuHKSnW5olHkgQDftjunuFde2\n59V0QABaKo66QsxJNi5FtrLCRo8n5ok+IqfiCEmCvAgrFELkKipPZEweLQRCCBSCmCIkcDFw4wdC\nSmxUlXPtp4m2v0P7iUMK3FUVx2rDs6qlUpqUIlPwtMrkNKJfeSr+vu/yp0RqFgqFQqHwW6GI+sIH\n57uyx8eQE2BcDOv0WSJyRuR7WMTcY7/8jRtyKRMP7TA/JKbSxoeWn/aekF9QQqy3L+/r2varrx3y\noaRTFdeuZ6PfvueTd+xN/eCQsL4XXXNXN/TTMcdcqppbrTiJPIFHCETK7ykSiSS2piYRSUmsy7J6\nthpJKddDkhKCKQaY34eZDwCB3HhbzUvE0vak0w2n4AgpIVLkcooc0Bxlds/vVI2Wit815+vr/zXt\nL+/7LkukZqFQKBT+GiiivvBR0aqK6/GWo59WQa+lolO5YfYpgbiItiG4B7fPJa0MwT0Qzo9jKp/y\n+N+PdYQsoJvKYKVfBfPvmjNu3MC17enDhI2Rgx/Z6BobA1JImMuYTt6ipaReHzeL6nBvGXYIjpBi\njttUhsPugjc622hUjFT2iBQKKQTbubE2ILhUDZ80O/6pv8qWoPlz8ynSqgqJwMVAiolaaKbkEQjS\nXBiVUqJRFTFFKlUxRsfZ0GODx6WIQsxZ92CmIzdaYmbBfgp2/V5+bfvL+77LEqlZKBQKhb8Giqgv\nfFQsGe/3EWRR+D4bxSLmHk9kO71Yeh7efj9i8X0e/5f19oGnHqDVFS/r7eqDH0Kc/ezZcnO/ZCqR\n/fSdMty4gSE4vp4ObGarymZ+DUqIB1cYQorcTiOBgJjtMzZ5tJTsdTsLdnhmNrOoj3xS7TmrWmqh\n+cfhar1y0c++/qRMLq6aryyMIWCTJ8a8+9oqgxYSIaAPjpQiz5InwXyo0oQYcHgqNEYopJDElBCJ\ndd/h17a/vO+7LJGahUKhUPhroIj6wkdFI83aHLtM6iupcoPpe2wUi5jTQj24z+Jrt/GtHeWxHeS7\nPP6PrSStNlzHtyVVBz+uz/f2uTxjyIJYwJwSY4HE6C2knJXfSoNNnk5V6xWGKc7NrPMU36eQm2GT\nJM0LrTHlZVhEvnqwVfWDeFApBOdVm+MwE0yzOI/kg8gYPZWSyKRxIuQ0INOgpUALTUiBGzcyCDBS\nocn2HITARXBLW60QSGBn6vVA8mvbX576Lpdko5v5z8ev7fsvFAqFQuGXooj6wkeFlpLLasPR21XU\nN0qjhHhgo3gsuBup2emGV9MdNnqM1KjZFrIs2C7i7uinB+LufR7/5fbluf7peM3t7JkPRF7bIwqJ\njYHLegO8te2MwTNGj4uBTmerjI0BGwOQF1X/2FwQUprfR/a0QyLGt7GUSghGEsREozQv6j3npqVR\nhjE4fIxc2x5IXNmeM9NSS82dGzFNfs6Dm6hITHM0pRKKSkhSSngid35kq2oqLZBCo6TkqGtexolI\nZAh+PkgI+qqmVYYz07BR9fx+8yHkY7C/3P8uf207UKFQKBQKH5Ii6gsfFUtO/P3W1+X2xUbxlFhz\nCba6wqcNQ8hFVmKeez+Op/wx4u7+c/kUcixksGxUtYr7G3eiDxNJgEFxUXVcVB23bsTJwCJ6K6lo\n5ysRZ6ZZc9zH4Lhyp/V+UgpGH/ApsjcNF7rFCIWdy7mG4Jiix0aPEpJnVT5QfGuP6+teWnkrmVtl\nK1nTD27dN44prmn2IUX8vHArEWxkhasVg2loxh6ZAg6NrXaIquFMt3SqppF5T2Fp4/3Y7C+/th2o\nUCgUCoUPSRH1hY+K+576xROuhOCzZv+DYygfR1j+83CDEnJurE1AQgnFnRv5U/fsgcB7fAVgDA41\n59sroRjnvPYxeGqleT0dczlTSLTa4Ajc+ZFGGiopCSGL5YVG6fWxF5afLoeE5baNrrgwHSEl7vww\nP6+jkoo7O+bWWvn2vVZC59cl9YPH6lSNFgKtFCaobMdJiVYqfErEBFpIwny1YGcaGqmJwKFqsOEM\nJQSXpkGkHK9pY+B5tWGnm7WN9/viSj80v7YdqFAoFAqFD0kR9YWPilUYimle4HxXGH5fDOWSJLOI\n+Df2xMt6i42e0xyZmR8vPZjYP3UF4Mqd1iz5ra5WgR6I1FLjU2SjamJKaBSQ8DFy43suzIYheI4+\nP2crDUk9vOoAYGTOq/cpcfAjEpHtQ0Kurznn3Wdf/Z6GQGQM/sHncmE6XtkDkA8Py3v9tNlBghvX\nI0w+MIzBIoSkJYGQSPLEPgIpJba64cw02OjXpdgz0+Yl4RiopOLz9tmTOwofyxT8Y7ADFQqFQqHw\noSiivvDR8X3CUAvFwY8PJvmdqqikXpNkloXVOz8yBEerNPci5pmCZ6OysF7sGE9dAdBCrVnyra7Y\n6YZ+vp8WikZVVFKikNRK089CGnJJ1MGPiNkIFMhpOX9ozh+8v/w4cDH/e+8nQvQ4NEnlx6qkYohu\n9uX7eRKfHjzOWdWihCSSEAgqaeiUYatrtFCcmYZ/GK54Y3sqoTBKsZmXkq/tKSfkIKmVwczLyRLJ\nRlcPbD4ARihe1rsf87W+lx+bbf9D7/+x2YEKhUKhUPglKaK+8JtDCfGgZCrM4vlFteXaDdjoscMd\n3dQjXc+ZNAwxQv02DScQ6XTNGBzL4PapKwCtMhz8hLI9+vrI7483HIhUm2eYquPG9bgUqJVmCvcj\nMPNrMlLhY6TTBoXkst5iHmXgKyH4p+GWOz+usZi12nKc32Oe3OcXKYVgDJ6NrkjwjtXoj93Fdwri\ni2rD6+nIt/Y4LwznxxFzqL+5N90eg18f//Fj/lzC+Mcus/6Y+39sdqBCoVAoFH5Jiqgv/OYIKbHT\nzWqx0ULRKoORmk4ZTqcrNsMBiUBIgxSSZjxxRWI0dY7JRNP7iYMfeGY2nJvugV1jsfD0YSIOR+7s\niNp1aCH5naoJY8+oNC+rHdc+i8o7P67FT3tdE4hzHKdaIy/jnHG/c/hkmgAAIABJREFU0K9LvAI5\nT9+H4HlRbWEujWpV9sp3pprLqwQv6i2N1Gtm/ncJ1seT7ct6y+fdM97YI99MR15Nd0whUClFTAkX\nAy5GjMzT+PvZ/PetQ99Mh58sln/sMuv77v96OtIo887r+ZjsQIVCoVAo/JIUUV/4zeFTyA2v8xR5\nDG4VrpXUbN1Eo7Mf3IfIKUwoFDs7UrX7OVbybULMKUz87elb1LwsqpDY5Fc/+0s/oebipkl6amVo\npCFFySfnn/Dn4Zq/698AYJDsTY1LMT+WyNac+6/9vqd7EalKCM5Ms94eiHTKEKTiRb17sCdQS82F\n6R5EN74vrvN9k+0lEWhvGkKKXLsTV66nldl6Y6RCInlZb2kfWZN+SprQY45+mhOFJlyMc3uwYaOq\nJ+09T11NWSxXL+TuJ7+eQqFQKBR+qxRRX/hNcH/afOvGOaoxZ7UP/TVyuEN4R9QV4/ENU9UhRLar\n1EIjheDkLS5GpuAQQqKEoJGaKQa6FBFkb/5X4x3VnPDSqYo65SXcV8MdWDh5y2fNnkWCG6n5TzaX\nD5ph79yYk3YE1OrtX7PHS7KLSH1cnJWvRtRrMdX9Q8x9Qf/GHvlqvHtwxWK52vDUnsByOLh1PWem\no1WGVhmubF7k9fOEXiG5rLa8mU5M6fbB7kI/5/8/tv782KjIPlhOYWIIdl3qtcHDvBOwPM99nlp+\n7YN9cvm1RFcWCoVC4a+JIuoLHz2Pp82VVKt4tsMt9vYbXruc0a4nycXUc+NHVL1BCUkzT54bqUFq\njHw7OR+jx4j81yBfAejYzouhS7HSJODkJ5T1SA8SiRGS590FFW+F+SJyh+BoZiF/WW0JxCejOeGt\nSM3e/bdiVQlBowznpuX1dOK1PRJS5My0NFKv4vpfxltCiuvrf20n1Lz4+rLec/TTeqi4f+iwKV/B\neGNPtCq320ohaHXFZbVZX+Ofhxv28xWEZXdhirkD4LGo/7FRkYvozuVZb5mC57LaPinKn1p+zQeg\nd8V7ia4sFAqFwl8TRdQXPnoeT5sXMWljYDpecWWPJBJSCAKRayXQU49sNnTKIGdvetpcEIgPMtyH\n4NnVWbQu0948NY+EFDh6y5FA40e2uqGaYyv7YAlS8gceTo+XifoFHSHGJ33ey1WHox+58xM2+jW9\nZ/Hcn+mWC9MxBMuN7wkpEojcuoEx5un9yVuubL+WRikEjsAUPDElvrVHphC4MC0bXXNlT/NyrV7f\nA8zZ90ITiOx1vabcXNnTk9+Hix4v352M/9ioyMVGVSvDwQ+MwZOAVr09ZD3mqeXXC9OhpXznviW6\nslAoFAp/TRRRX/joeUrcNbNt5CYlhBCQEjYEEokgBMYYttKw0w1Raa6Doxp7LqaRqBSvlSJWHZ0y\n8/JpTrpZ/veb8ZDFd5y4TpG2bqkliBDZVB1Du2eQgj/w/ujEy3r7zqR5uepwf2oOiSk61CxQX9z7\nvf/3+M29mMzste+D5W9Pr6mkmjtzE5HEwVt8jPTRspstPiEF/q5/wx+a8/Ug0weLRDzI3F8OG/dS\nPwkp0T2RclNJ/aRg/rGJOMthSAuBEjk6E3IJ18GPP1iUb3X1wOP/Xa/nx8ZnFgqFQqHwW6GI+sJH\nj4uRgx8f+MabuZgKpfFzYstCIOFMw7TZs++eo+1Ac/ctkcSu3lMpzVnw3CI5mZzTLoVgmIW2Twmb\nPFoqWipuxYA1NcftFu0UVZ0n2XqWwD8mOnG56nBfqC8i+aLqMEI9+L07N77zGJDTXj7vnj0omQpE\nbn1PLd8eVBJgpOIYLEZKpuDRUuJiYG+aObs/e+V3qpkz7lkn4D6FB/GhkA89nzX7H5S8810sh6H0\n6PbFLiSe+J2nFn9d4kESkIsRAe8sDv/Y+MxCoVAoFH5LFFFf+Kjpg8WnsE7rs8jM/3zRdNxuntGc\nrvAikOapvUFyqjfsVS5dqqYe5gbZahaMldJcxsDnuz8yrN70NCfgBMYYUHM+/F43BBJa6tkCMxJJ\nXJhuXeb8odGJPgXG4Li2A4GwllYtATmPr0ooAeGx6iUL3na29kDOlFdIIlksG6lwMayHiBHLVm+R\ncyD9FAM+xVXMByJ2TtY5nxdx74vg+/GhnzV7nlfbH/M1PsnyeV3bnqjig/SbTlVPWmqeirQcg+PO\njZyZhoObOIYRJdS62LtYo45+WpOS7i/+HkVZqC0UCoXCb58i6gsfNUc/rR76+2JsmWg/273gz8M1\nTX9Dig4nFH1V0zR7zk3DRdXRqApURS0UIaXVV98JjZkTYu63pf55uGbwE1PK5UtRgI+BwU+IKGil\nZqMMu3u2mx8qCperDtyzvvTBou75+e/zotrx5+nmncd5Xm8fLOZWUrPRNQnY6AoXAwc/MUaHEhLv\nA53OB4+YEp3MZVhhviqxUEn1YJrtY5wTeBLPzOZJS9FPoZujK13q3vnZU/abx4eexcY0xTx1/w+n\nbzkGi0Kw0TXPTMfn7TOMUBz9+OCqwxAc17ZfP8dixSkUCoXCb5ki6gsfNf7RAurCYs14Xm15vvuE\nv1eGPk6Q8n0Fgn8ebjn4kc+D5TPdcmYeCsekDJF3heLROwIpR1KSk2iiyMVMz023PvsSN/nUpPd9\n3u3ldd+3zdx/P0oIvpkOHGehmkg0wjBEl69CCMkzs+GTZscY/Tufy7lu+Ofxlt4PuBhopMmLtFIy\nRIdC8rzesNN5Ofjr8Rbgga0J4J/6a9x8hST/rEI9MTn/OXjfTsJTnvjHkZZDcEzRc/AjV7bnxv3/\n7L05rGTZuuf1W8OeYjhDTrey3r3v0g/0EqwWHgYWQkLgopYQDgZWC9EIB6dBwkFC7SOsNpAwERIW\nNmpaQu1gYKWe4HF591VW5XSGiNjTmjDW3vvsiBMn82RV3Xp5Tq2flMqsOBF7WJGV+q9v/7//12BD\nQArAgg0+ruEwGfh9v6VxFucdQQQWqkAKmaw4iUQikXjwJFGf+Ko5lkveOsPWdnzsazpv6bzhLC+p\nvObKtGxshwCWKmfret4IyPt6Gho1Eqr10XMEPFpKlNBTUk4pNZXOWIn9jPmNjfGO46Ck2vW877Z8\nNLuZUGYa+HRtGzrvMN6RDZXoTGqKIXKz9fagiRZO84p1KFmojJUub6Xo7E16zRY4Au+6LQioRGwW\nbnyPJdB5y1qXk3g/zRac5/ubndYZfuiupyjLueVp3MD8nA2nX9KTcLgBsCGm/Ygg2NgW4y0OEAGU\nkGivuDYd17Zla9tpI9UGi/cBH+Lfk5GUbZ9IJBKJh0oS9YmvmkMR1zrD+z5m0hdSsxssJsY7DD4K\nftfifCAIqNBcq4zvBJTO8K3MCCojVGvC0PB6eI5MaEo5TIMVYvK9d8oxBMjs0Q3JK6MH/co2wL4Y\nBoY8dkEhFcUQCTkK7GywBo3HmeND4DxfYH08+bwBdD51dTy/EpKFyjBIJIJcSZbZKtp8UHuV/bFi\nP+fSNGxsixuiMkulKaSmcYZKZfduOP0S4X/fnoTxPe+6LRvbDgPFHK03w6RgAQQC0epkRazIuzBk\n68sM4x0+xHuTAuYtuSnbPpFIJBIPlSTqE181h1Xc3juUUOih4dPh2boe6xx9sBjvccEjhJzEW+Ms\nLivwmWZ99ptb4vHwHCdZSeHVlCAzva/Icc1tVT8K9LGJcxTnI40zMWozeNa63BP6tespVcZKF1wO\nwnj8fOdtzJwfKuw2eH5bnQHHhfTWdlz1De/7LV2wdN6SCcmlaXkxeOELmU3pNqO9ZS7Qr0zDm/YK\nExzBduRS4cedjIyfO9asOp5/vJZPCf+fAy0l53mciPu3zSXv+13cgAkJwSNEFOxjQ7NA0DpD6+2w\nUclQQgCCfGYrStn2iUQikXioJFGf+OqZi9YP/Zbv22uEEFQyw3o/DWOyw4Cm1lmUkAQCmVDkUiER\nuODv9E3PK8Vn2YI37dVe4osUglJnvPdbem/JpJ5SWlb6xqYC0Rc/F/bxdYEWaq+51Q7V4/MhbWZr\nO0xwKCGoh5QWiBNsL8yO3jkE0Qc++t/nQnpr2zhwyhsCcThXGwxWeYxf8E15wsvy9Na9N67nbbfl\nQ7/lbbfFD/fcBTtl27dYlqrY23wcMq9yf0r4/1SmRJ9hjaQQeDxaKAoZ/x4IEcX6Sle8yNd4PJlU\nVGg6bwnB4xGsdclC3ViqvjRrP5FIJBKJr4Uk6hNfPZOtpW+4NA1tMLTGckGsAAuiGJNACDGj3AaP\ndwEjLD5k9EOEY+vMZyMMFyrnZXk6Ve63tos+fR/FeLSjxPSdscoON978hcr3PPFaKAJhGm41Nre2\nLlpGRjuNEgIT4vmjVSeiEFy6nkpmNMPU1Y/9jlJpFoPQXqiczjs6b2ND7BDXaL1DhFiZPiboa9fT\neksuo/0n4Gm9I2DwARTQyJ4TXfGvLJ/tbT4OmVe577KxfKm95ZiFZ2tbfuiued/XCGLT8Xm2oFLR\nXhRjUANrnfNNecqTfDnEosZNXyYVUOB84DyrWKicLA2iSiQSicQDJ4n6xFfPWJkdq+zWx0x1SQyG\ndCFabhSSXGSUKtB7gw8CQnxPKTUrHcW2gD0v+jHGyn3tej4M1o5cZpRKx8ZMYiV8FMq167k0NW/a\n62hvkZJCapRQrHV5a+rp2Ay71mX0f8+GKGVDg203PBGw3rGSBVIKWm8nO0zjLJXKp3UppN4bwjVO\nm5VDZv2n1nZMkTHeI4Wg94EQYgvBSmac5wsuTEPn7bR5mXvzYb/KfazBeXz9vhyz8Lxpr/ih3fDB\n7PAEjPdsbYdAUCjNt9Up35Sn02fOswXft9c0zgzrEZ/Y5EJxkhf8a+tvkpBPJBKJxKMgifrEV89Y\n3R3z1LVU5MFjvUcKyIWOWefe0ThDoTUawW6o2BZKU8qMfPDId4PAvU8j59Z2e1aaQsamUS0Up1k5\nCfo37dXgj4+iv/OWQmb8rjqbBjXNz9d7NzXJzgciFVLz+8UTfr94Oonid92GTEp2rsd5B4MH3BP2\nrEl6aOzdGIPFIwIUKk6XFUIctR7Nh3oZ79BS0XsLYTbZVQikENjg2LnAk3yJcQ7rPZmUR9fuS2Iq\n7+KYVad2PX2wk6Dvh42SJFAKzc4aOmemlCCAneuikJeaXGp6H+1ZhdTTOZKwTyQSicRDJ4n6xFfP\nWPXNheaaFkm0lkgl0FLhg6dUOQslKFWsOOdSI6UmBEchM6S8STgppL53gst2iEI0wWN7cN5SSD1t\nBOJ7uimzfhT9wDCd9mZDsJ/wckmAW/GVnTdcmJpSaky4uf+eGMHYBYu3gUppTrPFVC3f2pYwnEMI\nwVXfYIVHIwaLyfi+fevRuLZaKLSUZEhAT2JZIad76r2ldXYaAHaqK74tz45+Z18SU3kXx6w643ou\nVc4HG78vSfx7UOiM87xipcvpSczbbjPZoXpv+djVXNoaieR3i3MqlU2bpyTsE4lEIvGQSaI+8VVT\nu57WGT6aXWyIDAFJtIVkMgrRtVwMlhWNdpLTrKKQmvfdjmvXYoKjsYYTHTjLqsGXfb8El9oZcqkw\nzuG8m5pXx6ZRYPBrHxegd3nIRzFdu/5GLOPJhWatDZlQnGeL6LVH0DjLKivIpJqaVxfyRoR2Pqb2\nPMtXMf1G2ymOci6m59fzod/ypr3io9kBIm6OZIbEoXRFJhVnusIT6L3l0jQxXWiYyNu4/pMTZpvB\nutQPm6zR539fjll4lIgNxwuV7Q3vUkN850Lle/c4/rlxPd+3G65sg5aSSmpaH+NRn+Wrz/ZZJBKJ\nRCLxtZNEfeKrZcpdl5K1LlFCcmorrojZ7aXMOMkK1rpkrUtelqc0rudNe03tOhCxopsPTa1qiMH8\nkgSXSmWzVJtoezHe8XJ5MolALRRaqFsCfhSgxxjtKY0zXA5edU+IFeh+O/n+x3PkSg++cDE167pZ\naP74dOA0ryiURrWSPlgUcm/Y1Hg9H/otf9NcALFCPa/A/6ZYoYb7KaTGhcBlX9N4Mw3vGlOG3ndb\n/nzx5Nb9zY8P8QnE+N/P+XQ/w+EazYnfo6T3lpUsqH2PJz65eJ6vKFW237Dr/TCUKg4UGy1Ycvi7\n0Dk75e8nEolEIvGQSaI+8dUyr6aPiTFP8iVuGMJ0bRsYYgmfDxXjUQT/1fbd4DGXlOLGBx+rvPdP\ncJlHUC7KnMJoFiqffPIQxefGtnv588AQd3nbQz5667tBFDfeUEhNKTVKRO98Prv38TpKlXHOgtYZ\nGmdwwU+pLVtxcz+lyvimPGFj23j/M8E6Xs/bbju9NtprTrOS3kWvf+8tWkhKmZFJxfft9dCXcLM+\nhdLDd3D73v5q+0PsEVB6L+//bbflX721Isc5ZuE5L+P023fdFhcCmVUsdM75zIo0X/NAzPu/snHS\ncO8tUtzk0jv8npUqkUgkEomHShL1ia+WO60rUt7p5R4jGoUQMZsejwmOU1lxmlXT7ND7NHLOU15K\nlXFeLbnodmQHAnCMwNSdGvzxgRNdHbWmzL38hdLkSmNwZFLtCWYXbqrwWsTjznPzK5WxnnnH4SYd\naBT90faS0TnLShd7Npx+lsQz/ve1bbkyLb8J69iTIATWOc7lkoXOp2saJ+xGsX7TqzC/tz54IEx2\npVHYH573c9w1aTY2Ez/5bLPzzTXHZl8tFJ6AH7z5iptG30QikUgkHjJJ1Ce+Wg491a2LTaSds3zs\n670K/cjWdrQuJqCM9hSH5123pZCa9TAo6lONnKNQ3NqOneumPPqRYwJwoXJ+f8SGMqd2PX+oP9J5\nO/nLM6EohyFauVQHgnkQyn3Nd93V5JFHwsY6zrJq7/wQK9ibIfP+6WBHGa95vk651HTD0K7eW3au\nZ2NbnI+boNpEMR4z3QUnuuDatsNU2pt/Nsb1HNdyJBueOBjv2NmeE11SKM2Jvrnm+/Ip4X6X6B/p\nhsbmZ8USbSSNN9hh0jDAUue8LE+Snz6RSCQSD54k6hNfLfNqeusMH/otO9ezUDk71/Gh3/FDd803\nxclUFbfBTZ7zeSOlJ9A4w8tZhvkxQXhYSQ/D5wRR4I7TX+fvv0/Cy3jcUUi7ENjYllwovIyC/jxb\nTO9f63L6jAmOpcponaV2PVpIzrLFXrLOeB0b2+KCwwWBCy2XpgECF33Ni2I9Xd+LYjV53FsXq+ed\nc9OGpfcuTuSVip3t+LPqDBs8xnsKyfS04HlxY0OaP1lZqoLvu00U0AQCkHvFb+94wnIX900puotC\nKjpvyKXmLKtQRlLTs1AZf7F4fmtTmEgkEonEQyWJ+sRXyyi2/lhf8P/U77k2HVoI3rNlZ800pdUF\njxqy28eG1QA4H2gGEb3SOQuVfVbAHabijNabTCi+XZ7yrt5MP/sSwTke97ChNlMKGQRm6BOYi+Xx\nMza4KWMdmHzy43Hm11G7np2Ln8uExAz2k6UKe9c39gS87bZ4GjIRRe+YTT9vwh3X4Vm+onE9C1XQ\n+TiAa57zPn+y4glUUrMNDhUECsFSZXsbkftw35SiuzZWq2G4V+16cplxlktOqShllppjE4lEIvGo\nSKI+8VXTuJ7a9xRKI13PlWnZuJZcSDIZYw2/a684zaqpadSF6OVWUrAaYh+Xg+g85FAQbm03Cds5\nW9vx3e6Kd+31JBzvIzjHc7ztNkP0ZcAFh4AhxjKw1gXnxYKVLvZE6ZjQ40Jgazs8YbDgZDzhpql3\nfh39MFir9473ZkeuNBKBmHnfx+t7mq+GX8thWus1m6HxVSGH+joshur9mCyjpZzWaL5RUELwQ7fD\nhcAP7TWZVLzQ6yGBKL7/sLH2x34f8w3Nm/Zqr99gY9tp0q8SYmoqjhGjnkLqKZ/+S6r+iUQikUh8\nzSRRn/iqGVNaFBLnfYx+DGAIZMTBQzZ4PvY1Z1kVE2dUwc52U556qWKV+7BGfKzSvnMdgbDnoR8n\nvhofnwCMYrBzhuJItXdeiR/PMQpkLWLmfOcdSggyoafklrMDa48Wivf9lrfdNVe2RYQYbXniS9rc\nTEkw8/PlUrIzjtabOLALNeXMt87sVfjH6xvnAABkw/tHf/9C5ZwP3v04KKsDwvREYVyn990WJeP7\nG2fwBGobJ+zGz1pKpdHq7obU+34f49rA2ENwM7zLBsfGOnSneF6saL2lUhm1C1ybmgB7EZ9wexOW\nSCQSicRDJIn6xFfNmJZSKI2WckgucfQ+4EIgV4o87E94XWcFWp7dSovJpNw79igI5+8ZReko+lpn\n+L69RkvFu3aLdXb6WefdUVE/fyIwVtEVkgtT4/Bc9y0IOMlKqlkV+l0X8+nHqM4QAn/bXNITr68N\nhrpvcCqwznZTf8A8HWdjOj72NR6H9Z7gMxY6p5QZF6ahdIZRlCshuDRN/NXXdN4hBTzJlvy2OkML\nRQAyKSd70MgoniFW8N/1GwqZ3VhgVMEVDTYECqKdZ+d6TvWCuzj25OPw+xgZvf9zQT9nY9vJXjNa\nqKL15yb5Zn4viUQikUg8dJKoT3zVjCktMUe94odugwljeolCBOidpfc3TZ5aKErFndVdmFeFo8Ab\nRepalywGD/2HbssHU1O7niJoLtot101LqTQLVUwDjA6Zp+PY4LjqG971WzpvqW3HxnVkQvE0X6KE\nZGNbOmfZuI5iFmt5ZVq2rkMPueoaQZWVFFJPSUAQbS8b29J7ix3aUl2AQmhqb8BClkXhr7OKtS4x\nwfE3zRW167HBI6WgGgczSck3g31l5G23wQRJ7fo9X3zjYs/CzhpUJqd7tjg0cno6Mqb6HH4nc46J\n61JlsUl56EW43Yx8l0f/9jRfJcTRKb8poz6RSCQSj4Ek6hNfNfOUlkIqciEpZE4uJVJIfAhIKfaa\nYO+TQb8dYh8PGzcbZ6aUmB+6a1Y6xwdP4w3buqXuegJw5gMnpqdSJUFp+nLBYvHkVjb91nT81fYt\nG9dhvSMaeKKdZF4xHi06c1HvCcMAJ4lCTE8aYhOrmO4DoqXkTXtFPgyS8s6AiEJdCMHW9ax0vmc9\n2dqene2o9L7Qroc4z/l92OBoh+z7D/0OO0xoLWXGUucsD46hhsFfDH5+KeJk28OnJXMOI0xvvrf9\nPP45J7qarEOHrx8eb6HyuLE5EPEpoz6RSCQSj4Ek6hNfNfOUlk1oWeqCUuXYwd9e6uhJn+elR8tG\nz9tuOwxg0rw4ENs2uEnkjWxty7XpqF2PD4HG9Sghab3hQ78DD52znDhH0TV0CD5qyzO5pqyvuR6T\nZnQ+NLe2/KH5ONhuooDvvEUKQR06Wl9xMpx753oUEhPqqaotERQqWo7mKOQkoseqc6kyVroEAp0z\nNK6fkn9KpShkzomu9irlAjA4KuJrxrup0fZtt5nE7tZ2vGmv40YIEZOFCBhv0UJjQ2CtCvpwM1jK\nBU8XHN8U673BU4c2njn32Ywd8qxYxVz94QnCmP//bIjanB9vvHctFGL4/a4I0kQikUgkHhpJ1Ce+\nesaUlu+yEiEkJtyeSprPBiKNU2VPshuh3/qY8T4KuNGiM77/ykSLjBSKneu46hu2ruc8q1jonBAC\nrbV471mbNk6sFYLa9lyKmpUuyLuad9mG7zuPEpKt7floalrf44fKuvcOLTUKNVXqbQgEAp03GO+i\nmPeahcxZ6Yoo1KOlRSE50xVnQ6b9WHU2ITbe1s6wc32s5YdY7e+8p5AOd1AFX+h8qvQb76ZNwFIV\nBAJv2is6Z3F4Ls2O2hms9yx1zkrHdTzRBbnUeMKUre9CQKFYKvYGVcF8/uxtPjUQ7FOfeVmefvIz\n48+s92ihyKRMgj6RSCQSj44k6hMPBi0UT/IFP3TXe68rJC9mQ5DuEzU5VoXHJsr3/RYpJOUgQrtg\nCQSubMtC5yghyZXCecG5zG+msQY/VdKls7zrtpgQJXwgWllqZzDeI4SAAG2wZFLxJK94Xqz5vr1m\noTIaoqj3xHx9heTb6hSNZOOiJWalc86GtJzxPiBWpBcq52Nf47xHC0me5WRSUskMKcStKvl5tkAh\nubYtve+RSHKpWE+Rmg0XZkcuNNvh6cXO9wgLT/IlhdIooaYnHqVazJ4EBHKhaXzPzsbm3KUusOHu\nSj18fkLsl35m/Nk8WWeeYDS+J5FIJBKJh04S9YkHw0oXk0f6Y19Pldm/t3gy2XTg7jQTe+Cvnlt0\nPnb1EH0ZK99aSJyISSnRDqPwAnKlEAqEj6JfIYaJrC1GSj6awFLnWO/pveXS1LTe4ryPHn5AWtiI\njsZZMqFgqHLnUiNtPF4ApBT8S4un9xqyBLAVHQuVRbEd4pTaQmoyqQDBeb7Yazg9Lxe8LE953235\nQ/2BgGCps2nTcFl/iLYgLQk+PkmwzrHD8u0QE6qEmIZzzY/9JIvZ932wnGQ39pmd69iZ45uun8Jn\n1+aeMwUSiUQikXioJFGfeDCM4isTirOsutNCMW+QHDPmXQgUUnOW9VPldm7R+dvmEkP0lOdSTXae\nEAInWRWFeuZ5v9nSFjmVtfTBEmT0cQNc6JwQPI2NVXzjLS4EnPfRUx9ASYmWCi0knbesdDFFQRZS\nU8w2J3qogs/v/3MCtFI5T/MlDNabMat/oQue5aujDad/vngCwJVtpsFdce1s9Pl7R+ftEBHq6azl\n0jScZdW0mTpsEG7qS95c/JGV6/FK0xcLbB7nCFz1LRl3N8x+KfeZ7HufjV4ikUgkEg+ZJOoTD4r7\nCNvRWhOHJd00wuZSTWLvsHJ7ni94228mUV8MPvEX2Zrng7WnXGWchwW9d+h8QVlfgTU0ItAWK4TW\nVK7j2jRkUlG76P0PxCFZUgg0Ei0EQgg+9jv+UH8klwrrbovL0aP+OY/5XNTGQUuK3dA/MHra17q8\ns+G0dj0mONxgjXEhsLEtSoAUitp1OAJaKpz3yCC47GuMd+QyQyDYim76fkS3Y9VsWACNEAhnWTYb\nhC7JhuFXP6eov08V/q5knRRnmUgkEonHQhL1iUfHKOT+YD4C3Jp+OorkOS+KNS44rk0HxASV5/ma\nJ/lySkr53eqcp3Y5fea79jIm8AxPA3btBhUExjt2toveeiGO0b4aAAAgAElEQVRQUiBCFPVSCgIi\ninwEnbesx2bTIUN9vN6Vzu+sQI/3sbUtb7stckh9qVTG03yFMg2t61mqgrUueX5QSZ+ztd20NvOB\nXU/zFZ7A+343NcwSBGdZyUlWYbwDYpPv/NpWzQaITw2y2XCtYFq66uRnF9L3qcL/mGSdRCKRSCQe\nEknUJx4lC5VzmpUEyls/G0XrxrZ7UYhPshVP8zWnWXm0Kr7MCmr66b/H6m+pMjpn4wAr39E4g8cj\nkSipCSHQYfHEKnglo8Av1b4nvRyq2MbHRtv/t/5I4wy5lCxUMW1M3nVbtJTTk4jGx2vqveVjH6bh\nWOfZgr9YPvvsWs1jMeeRl9IIrkwzTfUVQpBLhRSS2nWTOJ9PfN3ajvUwkGqhc65nT0rE8OTiNC+p\n65t1/Kncpwr/Y5J1EolEIpF4SCRRn3iUxJjKls4bXAgEQAuBFoq1Lim03rPmuBD9578rz/eabj/F\n3ObzprukCxZBoFCKzscBTJXIqaTmyrYQAlpoVrpgqXIW+sZKpKXkRbGerDStM1zbBgDjooVnFN+N\nM5zni8n7rpA03rDzPUud07iYzb9z3V6M53xt5uLWDIOk5rTO4IInk4pzvWDnezoXU3u0lDTWcJJX\nwH5F3AZHUBnCGUqZgYba9jg8cthoHG6Ofir3rcL/mGSdRCKRSCQeCknUJx4Vtet51225MDEdp7UG\nQxSdC5WDjMJza3tyobkwNX2w5CIOsTqcMPsp5jafxlkkcdqt0nFgVeccQsSJqOusolIZIYAUYvKU\nb2wU3qc6CuTRH964GGkZp8fGptVCahoX4yGB6VpLFTcNvTcEG6Z5s8/y1eQrH4X81nbsXHytVBkm\nuJjh7txelb5xhoWKQ7ReVidDvGUDISARlFKzHlJt5hVxLRShWiO20fpUyowyj8f1qyfsgO92V7xr\nrz9bLf9cP8H8587HYNGUQZ9IJBKJXytJ1CceDWOVO1bgA1pINrbj2jY0ziCF4JvilLzSXPoGJQRL\nnbMkir8+WLa2PZoQcxejzedEl1GA2yioPbFSn8uMTCq8j1NXTfBcm5pd8CxCTq8NudTTVNSx6m2D\no1Sa3VCNH7PwbXA8yaKvfxw21bo4WKtzhqAFldQUSk/3M69kR7uRn55SjJYb5/1eJGWMxsyoXU8u\nNWdZhRSC3bAB0VKSS03nLU4E3nUbtFC8LE8I+TJuLJoNwhkaAdc659rW1J3hZXH62az4D/2WN+31\nXo/BaLE5zJ2HmCoEcJYt7hT+SewnEolE4jGTRH3i0TBWuUdh3HvLR7Nj4zoyoQghsHEtf2wvEAGe\nl7fFe+e/POJQC8VCxwFMuVR4PKBxXnKiCwLQBsPfdleYwXs/5sdvTMfLsqRUGVvbYXwU3NemHY4t\nCTENM24ShCYA77ottevY2G7K1l/ogkxKTnU1pd503u2lw8ytMrXrp+r8aP+ZY4KbBkvlUvMsX3E+\nRIMuVIbxHhfi9FwlBJXKbib3FktCsdwT37t+hwuey74BF/Z8+IdC/Lv2akrjscGxsfG6YxZ/nITb\nOrPX2FupbPr5eJzPRV0mEolEIvFYSKI+8WjY2pad64cEm8DOdWxdhw8hls+HtBnpxDD06TajGP4S\nVjp6xX3wuNDiQ6B3lkKqqQnXBo/10UxjQ6BAsNYlmVSTxWZrOwIxAadQOnrmQxSgz+b59VKy1gU7\n2yEA4xwKgfXx9zYYVhTT/cyFvB6q8cCe1egwkWY+cReYGoqf5cspSedtt2EVbqfHzEX6fENRO0Pn\nDH3n6FvHy/Jkag4+/PwxG1TjDNVsIzDviRiFv0BMm5M0cCqRSCQSvyaSqE88CmrXUw/NnYVSU6Ns\nIHrY4cai0TvLSVGy1uWtSu+PjTjMhMIFT+88ldSsyxgl+a7b0niDGSrauZRIBI5A52Pj6Shgu9kw\nLOV6QGC8nZp7W2emeyhVxlIXQwqO5YXK4nm8Y+d6zkPgLKum+xmtK5XKpqr3ODQLjjeVQhTAQt3k\n3M/F8H2iJMc/t4Ogd3hCiNczivK1Lm99XglxS9iP39O4VuPvY9ymQjLs3j55ffMnOsmSk0gkEonH\nQhL1iUfB1naTYB2r7VIIJKCFJuAx3uGFZ6EKnuarWxGOcCNuj3mxjzFaPNTgMV/pnA9mhwweF6C2\nhj5YEIHG9iipCHHcK56AQk7iuhhsNPNrclKjhWClC2xwNLMJuVvb0jmLlJKlynD4GDmJpJCacrZJ\nGW0n8zz6xRCleZeonafFjOtxaeppPe4TJTm+J8Zexh4B4y31IKy3tudsXd36/Gj7OXx9vJ9CKq5t\nMyUAATg8/Wj/UfnR6xsnDBdDfn6y5CQSiUTisfCLivpXr15VwP8IvAA2wH/0+vXrdwfv+W+Af5to\nI/5Hr1+//he/5DUmHiY2uD3BioRn+RqJjKJ6RiYkz/Ml59niaBPlXV7sZ+Z21OVY9Y0RlC3GRwEr\nEaADHs9lXxNEwHiHdAotRbTmOE9ZaE51Fa9FdJjguOob3vfbqfq8HKwwO9NxYWtaZ/EEXHBc2ZZT\nXZFnergOS6EyIHB+0DQ63utal7wsT+8tYu9aj1JqzJGwoPnGqHGGC1NzbRpKpdEiPlnIpEIhyKW8\n8eEP17PSxSTGx2P03vIkX07rvdIlF6aZEoIUklLp6Ksf7DXHoi7HVJ9j32MS9YlEIpF4yPzSlfp/\nCPxfr1+//q9fvXr1HwD/JfCfjT989erVvw78G8Ov3wP/C/D3f+FrTDxA5oOgSpXFiqw1U9yhHTLX\n16rg94snZFLfmVt+lxf7qm+nKMqReXa8QrL1HVKIOB3W+2gTEWC9xyPwOIKPVeF1VvIvL5/v5eK/\naa9412+HZttYfbbB0TrDhWmofU/vHcY7HJ7WW0pnAEGl8ukJRDZUu0d+Skb7XevhQvjsxmj0/8co\nTUMIgW8Xp/TEjdZY1Z+L6sn6I2LPgEDwNF9OEZzjhkIJMdmV5vc5fifHBk6NqT6H3GXVSSQSiUTi\nofBLi/p/E/gnw5//V+C/mv/w9evX/+erV6/+ndevX4dXr179Hvjhcwc8P1+g9c87dv4x8vz5/WMa\nHyILk/O+3QHQ2J6rpkEJyQu9xoeAI3CiS363PudJsUQIeL46vibN1nAsrt4Gx7fPT/deM7to6+ka\ni7SCZmcRXmK8gxBQUnGqKy77loWSKKEolOJZuea36zNOThY8X95ch73yXKoWFxxSKBaDTWTje7a2\nRWcKbx0iCKzzKARXtPyuEny7OKPSUcg+K5cssx/XH3Df9RAC/nz15NbrO9Px3dUVnbQooTjTC85O\nF1z2DZddTaEyinUU1md5RaXzO7+P73ZXcS0PyKTiL1aai77BeYeSipXOqXROJtXemu5Mx1Xfxjz+\n1lMoPa3T/HjzzzwUHvv/178UaR1/HtI6/jykdfx5+DWu459M1L969eo/Bv7zg5d/AK6GP2+A04Of\n8/r1aztYcP4R8J9+7jwXF7cnSSb2ef58zbt3m7/ry/jT4wJb2/G223BlmjiIyI32DEFvLZe+RuSx\nsfVdc3xNNl171Cv+4snJrXU0znJhauo+ZsxrA8YFMhQ71yFCwHlPJTQFGus9vXNc+Zo3VnNqK7L6\npvq/bVtoA601ODreO8vGxkSdzluUVBACXbD0zsZJuVLy1+/f01aGb4oTnhUr6rb/2aa2vqs3XNlm\nSvIZB1cdW8OxQv+u2zIOybrgphm2bQ2ihHrTxwjM3tBi7vw+3rXXHBsHJoiZ9NoI9PDPWEs81nm2\n4F29ma7nTXs19SG44HDBT09HxtfPswVmYx+UBedX8//1n5i0jj8PaR1/HtI6/jx8yTo+JvH/JxP1\nr1+//qfAP52/9urVq/8ZGFdvDVze8dl//OrVq/8W+D9evXr1z16/fv1//6muM/F4GC0mdpiSOjIf\n4DS+/qmUm2NebIDTvKSu94XyKAKt91yYmtNswUp7Cqm5MnFzcGkadq6jHyrOEiDEyr/1fjpW7Xr+\ntrnkj+0FnXMoJI3vMWGoLquM9/2O1hkcAT1YgTyKjet4ETylyn5WYVq7nq3ruOjrybteqz5m1peL\nW+8frTqH6TWNM5znC35bnfO8WnPR7fY+t9LF0ebkTzXjHrPXHDb9vu+2U8PtmJTTesvGdKyzgoUq\nWOscLWVqmE0kEonEg+aXtt/8c+DfA/4F8O8C/2z+w1evXv1bwL//+vXr/wRoAQP4w4MkEp9CCzXl\nsedS03vLtelwBCqZUQ5++ru4Sywus+JW9XsUopmUnGcLBFGsd97xvNA0Q9a8D56d7/EEMqlZ64JS\n6qkKPVaUr22DFJJMwsa07HxPITXFIGJD2GGCxwcPEhQCJSQ2ON73W35TnHzRRNzP8a7b0ntLoTSt\nszhC/D34o2s497Mf5sgDPC9WPCuXbEV7K1noU82446Cp2sUBXed53FCsdPHJ+722DRAF/ZiUEwi8\n73fU3lCpjvNswRlMA8CSqE8kEonEQ+SXFvX/PfA/vHr16n8HeuA/BHj16tU/Af4n4H8D/sGrV6/+\nOaCA/+7169d//QtfY+KBs9IFG9uysY6tbbkwDZ7AUuWc6JJL07C1fbTn/ISc8sNUGD1kyD/LVntR\nkH9sLmi3hlwohJSUw8biWbHCBc/bbsPbbsOlqXEhbjx6HJ3S9MFSyoxcaTxhmNraYxFDfKXAhdhM\nW9uet92Gb8qTn02YjsK8kHpvMFd/4HMfNzcf+x2xaTdjrcvJ3lJIPaXxLLPbQvxtd/wxqQuBUmo+\n9jsaZ2icpVRxo7axNzapY/c7zirog6W2Zvp+NraL03R1bKi+Fg02OJ7lK+6YSZZIJBKJxFfPLyrq\nX79+XQP/4Mjr/8XsP//hL3dFicfIQuW8LE+xtecP3Ue6ECMUAT6aLZnTLFXBeb44mlN+30jL+0ws\nXaicv1z9hkJmbOxNdXqcjLpzHYWKU19NiGk5chigJAFFzLWXCHofoyzj+CqPDwEpwPmAQ2KkZ2c7\n3rRXXxRZ+WmOOdr3X5+vVzVU6Dc2Rmc+yZeovuaJMVSXPxBURliJW0f79CArxZN8ycd+Ry5vVHfM\nvj9eXR+vqVSa3losLk70HSb7jgk44zTf1lkaZ24NwkokEolE4qGQhk8lHh1j1XjnOryAHIUQgtZZ\nrm3HiS72qs6wL8TvG2k5F6KjPeQub/fzYjVVikcu+np6jxZD1d17PtiGXGqst3g8nQvUsqdxlhAC\nq6zED5uA3jkkglJnnGcVWio2tkV3it8vbpJpjvnVPyX6x/f33sWpsgJ8YNhUCF4WJ3trNzLOChjz\n5U+d57RrKWV8XTgD1+8RpiQUy+lzn/LOj+t8bMLs4fdweE1n2QIbPI01GBy9i9GmpdTYaQrtTb/F\nj50onEgkEonE3zVJ1CceFfOq8UdTs3MtxnmEABc8rbNcqAwlFGtdTiJ0LgzHPx8K9cpklC6bxPGV\naafK8dw/Hgi3qv+fy0yvVBbjKW1D7UzckAQoVMYzvcAS0ICSmlxqTLC03hB84CQv+aY4iWJ1jMCc\nXc9dTx7m13XXGp5mFbXtuTQNuVTROqQ0SsppYNShqB5nBQjgRdsi5O1ceNFs9kT9Xc3JqyHj3gR3\nq/l2zLjXRzwz4zWVKuNZvkILybVtyTDkUqOkiMPAhmm+mZA8yZbJT59IJBKJB0sS9YlHxbxqvHM9\nYUiZaa2dqrE2RJvK+37Ls2FY01wYaqEGC8l+o+f7ZofqxLQRyIequA0BLW4sJYcV/09VyM1MfFo8\nJvhheJVECRAh4AksVEauFL1zhBCQQrJQMR3mNFsgRfTW187QOstqlsN+H5vQXWtYqgwpouGn85al\nKlipcs/28qkqu3Dm6LkPX/9cks2FqW81344WpmPV9fGaWmeoXY8SihNdkglF5w07ayiV5kSX5FKT\ni/hP4Xft5U/qs0gkEolE4u+KJOoTj4rDqrESEk/ABIcUEoWMFV88G9tOmetzYbjSxdHGzSBiFXsU\n9ePv37fXaF3sZbgDU4V55LBCflidrm3PShUIYmpLHzzbIVJyIXMKqQkCqsE6JInTVp237ACJIJdh\neHogblXS508exor3MQF9aCvqgqHS8Z6WOqcPltaZqan0U1X2oLKjwj4cmeo6n3o72n8uTY0W0S6T\nCYUAOu8opEYJifOeS1Oztd3ePax0wZv2am8T4Iapwk/yJbUz1LajdZZS5hTD04dw5HtKJBKJROIh\nkER94lExrxovVYb1jg1R3EchKCikQiFpnUUgplSWkSguM3YuUDuD8ZZcapxpce5YwurxZtJuiII8\nZKxwH1anAda64NI0tN7SeYsNAUJABjkI1Jgso0T0ggsR0E5yIjUeT+9jVf8sq/Yq6fMnD7237FyP\nRA7NpuyJ2PkaNs6gkFNG/Ujt+qmp9FNV9lCtEduP0+dab3jXbHkrM0S3OVoRP2YXMgHOs8WUmjN/\nzzEhPt7H6MnXQuGEj5u8EHhZ3vQEXJt22ogd+54SiUQikXgIJFGfeFTMq8bn2RIfAhvTQhzECoCW\nmkwqKpnxolgfFW4rXRKI1d1i8M1boshth9SV1hk2tqVUORBwIUzCuVTZ9LlD5pXwubh/W225MDs+\ndDt8iI2hwXuEEBiiyM+lpvH9ZBdaqgwbPJXKUUKgkFSqiHae2aCt+ZOHa9vSOEshNW/aa16WJ3t2\nmrHK3TjD+36LDQ4fAsvsZp1cCHtPNz5VZV9Xa5Z9S2dqroJluXyKbQPcURE/ZhdqneEP5iOnWYkW\nitYZ1EHj8fjZ8ViZlFOePcAfm0t2tsUPm7Bq8P733n72e0okEolE4msnifrEo2JeNT7PFkDAeMe7\nfks7iDdPYGs7TsryzrSTlS74obs+OLbGKT1ZcMZhRpXMaHzPzhpi3VjwsjxlK7o7vebH+F11RucN\nCEEmFT44ehnQQhEGb33nLEIACrTQCAQhBERgT8DOzzN/8nBpGj52NUqOwZk3G5HDywpDfGYuBEKC\nmjWmrnX52SZbiBX0jxLC+glbu8QEx6JcQHszUfawIn4opsfNU7ymMh7T7PYanY99dv7EoXWGzhkc\nHkkc1rWx8We5PP7P4F3fUyKRSCQSXyNJ1CceHWPV+EWxpnYnuBBovSV3sVlWIxFCsFJ3N0MuVM5S\nFdSun+wbv6lOKHpN4wyC6GfPRRwQpYTkJBs3CLES/Cmv+TGe5jEH/223wXWOEDzCCxCw8wYfAoGA\nQg62HEsnFSdZRe17nrKk8xbjPb2/oJDZ5DXXw0TaH9oNQQRq17GxLZlQQ5NtmOw0W9tNCTbz5lQl\nJE/ymFgTN0y3GavsY4OqCyH2MHh/K9Jz5FDEHzbejpunw2bmeX/D/PX5Oo/rH21Gmp3rp4Sg8fWX\n5cm04ZuT4i0TiUQi8ZBIoj7xqBmr1L+tztgMthMBcShROG67GFnpYs8TX+mcVsUBRS+KNVqoW9V8\niMJya7vJ/31Xosux7Pin+Yq/f/Jb/tB84K+3H/gYdtjgcR4Ew3ZhSNvRKKx3ZELhvOejaTDecqIL\nArHSfm0bwrDJ+KG7Zud7CND72BsgRWBjOpSQKBFz7eciexTNjTOx0fQzyTB2SJzZj9Q0XPQ1S13E\nWEx7txAf132+GRqbequZgK9UxmZm01F9jW63nAqNzHaEas1iiMx8122HSbdxMq4WscU4NjZnPM1X\nX5zjn0gkEonE10YS9YlfAdFoooTci3rcWTMlxOy9u9shmg3ngwfclivczNoyVnBXuuC7NtB5S+fs\n1Ez6rFhNwnjuNZ/zqez4Z8UKExyXfcMu9DjbIwUoNGFwhEskmYxpMDGfPqMQilWWDQI9VsU7b9m2\n16x0zoe+xnlH40207Mi4MiY4TnQ1iefDSvlYtc+EmjYqdxEr6PvWmgvTIIjTW5cq57JvwIVpw3BY\nET9svC2kjpuBmagfY0gzoQjdhnJ3zULncciVM4jtxzgrVmdoGZ8wzDcra11M9/Sp7ymRSCQSiYdC\nEvWJR89al3zod7deX+rslp9bdDvkkNZSygw8XG4+clnUuDIQ/E3SzfgU4Mo0w6TVmOf+vtvSuP6T\nFd9PZce/KNacZRUrXVKajFwrlBCEsXmWQD6k+ZQq43mx4lm+YmNbem/5Y3s5+cad82glMWHBtWlR\nQsSMe33zv/7SWr5ptuhmS1+sMVLyTnhsCAhACYEWai8x5i7GjQ7EDcWlafB4qmEAVQBs8BgXn3jc\ntT5zkX2W9UdtTM+LFQuVI5sdIl/e+rloNmyr+Hqs7O9beg6jTBOJRCKReMgkUZ949DwvVvzQXdMO\njZIKSaE0Z9nilp9bNLfz6aWUPPOeRbniot3tJbaUMuM0i170ztvJ//25vPO7klVscHzot3zXXsUY\nTqHxOhpoumDJhUIgyKQkk5o/K894NnjxL0zDx37HxrasdUnrDK23FEFP6TieKNRDCPTeUpqetbNY\nkXMRHBd9HSv91YrrIc//RJfxeMP9faqivVA559mCjW35YHfUtkdJSY8b4kTjRmSd53tV/0/ZXw4r\n98Z7BEz59OemjhuwA8SQyQ/7NiIb3NEo00QikUgkHjJJ1CcePQuV801xwpVtpsbNcUjUoZ/7cFBS\nbfvh9X3//ZQBLyVrXVK7ns45FJJS6b3jHss7v2sK69Z0/HX/gT5YXIjNpTZ4zvMFvbf03iGF4Gm2\n5LfVOU+L5eRhd8FhfBTFnbc0rkcICSLQe0cpNVvf0TkDCIQQrG2PC/C2u7GvuOCx2wuKsxfTkKf5\nQK3PCeHng/1ICsFC5zh8/DVsJJx3VOKmQv4pK9Jc2C9UfjSf/ipY8NwS9mH4fudTe8f7yIbG4UQi\nkUgkHgtJ1Cd+FTwrVkdzzQ/tF4cTUF10ZhMOhkiNFWAtFKWKgtEFz9Z0vO92ODy7IVbzLK+OnvfQ\nUtI6w7XrpgZeJSS51HTD4KiFzPjL5QtelGtelqdAHBo1Ph1QQqGlitX94NkQUHhaFwihRgyZPQhJ\nIRUueKoAIAhAay1lPghjb2iHLPvRaz+/70+xUDmZUDEZSDqCDxTDbIDWWZRUe+v+KSvSofCev3ec\nkIuAeszbnwn7UK1Z6eyLEogSiUQikXioJFGf+FXwqamncw4noCokFs82K9m1Wy66HUoITnUU6nNx\nXlvDBxu9+5XM6IPlh/46Nq2Wn78eKzx6GCDl8PTeIQRDJKXkRFessoKzrNq77ou+ph+adZWITcHx\niYTEeT8cy0IQSAEIwVrklFlJ3hvKENCD4J6Q2TSkaTwm3D+7XUvJebbAhbgpskPajpKKP1+dI7Y3\n7/2UFemu1/YSdvKKawSLoWJfZAtCtSYUS8b25pRsk0gkEonHThL1iV8N90k4CcUST/TWC2eoiiXf\nicClFKy9Y5wca4Lb85dvbaywS8RUlR5pvTl6rsPr+a69RAtFMQy4Mj4KWDlsIv6sOhueCOw3657o\nEhsc53mF7RzXth0+b+m8i0k3QlDKDI8neM+FaTjBsygWnPQdO9fTuJ43Xew5sItzxvFU82u8b4Xb\nej+th/MegwMPZ0XFi2rNu+1N78JdVqRjG4jxvc2BTSoUC7p8ycWRhJ65dWecdDvm9ydxn0gkEonH\nQhL1icQBoVgShozzHBD1R7RtESKKymrwZo/2kPHXm/ZqSFlp2Q1e/FJldEcGGx1jPPZYjY7HEGgk\nz/LV5Ac/rGCPEj82oWpap7j2HhBUwybABgcCMhQyluuRSHZK80ftMN01SyFAajbFgkbDn6mcJ9kS\nLeUXV7gDsXHY4Kh0RkW8dhMsO7Nvt/mSIV3jew/X4GZz1U5rNL/m+/j2E4lEIpF4yCRRn/jV87nB\nQ5mUnOcLzqslF91NNOahsMylpvUGJSTLWR5+P0vF+dR5VrrABBez5YdNgUbwbXnK6cyXb73nbbeZ\njuOCY61LGmeGjUHOb0pB4yw+BLauQwaB9RYhday/B9i5DhBspSA7eU5QmloIVrLgm6xgqQv+fPHk\nR61pJiVKqMlKNCYOKaG46lsybvob7muNGr+nzllaZ5EiblrGpufRY1+ocQNxI9y/xLefSCQSicRD\nJIn6xK+WD/2Wv2kuuTA1mZA8yZac5tWtCu597SEvihXfNZfUvh9y66MV5zflCe+77V6j7l2V4p3p\neN9tAcHTfIkSAiGih3wUrgAqxGNtbMub9ppcShaqYKVLAgHtJVvT0TjD1rYEAd57culY6IInWYUj\nUKmMrXGc5QvywTKkiBn4/T2fMBxDC4UWgpNsv5lACYENbk/Uj2vwKXE9r7QXSvO8iLn8o6Af3zMe\nYxT4NjiuTUsh9d504JH7NP4mEolEIvEQSKI+8askCvoLrk0LRI/8D/01AKd5tVfBva89pFI5xVCt\n94BEsJA5hdJc24bzIwOSxvOMorULdk8I51LjQ6BxPWtdxmbaYXMwNotmUtI6Sy41Ljhaa2mDofWG\neoyvJIAQCCQ5mtOsIgC5VDjvJkEPN4k/ufzx/zzE5l511CZz32bbOYeV9lHI995RDdGVS1VQKL3f\nREu0AdngCIS9qbRw/8bfRCKRSCS+dpKoT/wqedvF+JVRwI58313j8PihGXVuA8mkQsCd9pCt7TjL\nF6yyfbFfu36Ik7zNKHpH0TpvggXwIXCeLxDAi2LNd+3l5KEfm0ULqQERU3YQKCnwxseGXyHQQpCJ\njDAMnhIiNt/mQuPwnGeLvXOqoYr+oljdtXyfZaFyXpYnfNde3ZoNcJqX1HX/Rcfb2o7a9ZM9Z+xr\nqFTGt+XZ9L5jTbTjuZvhacecFG2ZSCQSicdCEvWJXyWjtWT0fAMY72i85UlYTJabuUXm+XJNVt/O\nuh+xwQ2NsvvVaRcC59mNJ35uDSlkxlnWT+JeCXE0F36sKM+tQPMq+EJlPMmXiL6OE2MRbFyHCwGJ\nRktJKTOsd0ghqZ1BKkUuFWf5AikEH/vYgHqSVfyuOuNpfn9Rf6wv4Wm+olL5rdeXWUHN/UV97Xp2\nrpviMXeu40O/o1IZa11ylkXbzaeaaEuVIYhDp1K0Zca5FSoAACAASURBVCKRSCQeI0nUJ36V5FLT\neTPFR0K0aQxtpFSziu59mynHQVTAJNrHKrULjk3fIoXY86rnUkUh6qOtZqHyPevIKObHivLcCjS3\ntyxUTusMH/sdW9tFq4nI6LA4Ap2Lk1wtgUIorvtAK03MrQe+Lc/4y9WLHyV0P5cs81OF87j+G9vS\nzZqOW2d4mi/3zu28Z2d7bPCsdM5Ztpiq8ytd3oq7TCQSiUTisZBEfeJXyYtixd80F4N1BTpn8QSe\nZSvWutyzady3mXIU3OVgDRm93WtdUKiMAHzfXqOlYjFLbQEmc8686dOFwFqXnGeLSRhHG0nP3zSX\nfN9csXUdK1XS5GYaEqWlpPcOg0NLifUWFzzGQ6EknkDjDQhJNfQABMKPrlz/qZNlbHDTumzbKyA+\nYSmVnl5/123RUqKk5JvyZG9jNJKsNolEIpF4zCRRn/hVMlpL3nZbBIITXfFNecLyiPC7bzPlYTRj\n793eBqFUGUudo4TkydA02zpD7fronc8WBJhsJXfFOl6aJj5l0BohBb13fN9es84KnmYrsNB5NzSl\nyhgan0mMj820uZBIIZGIaZJsTMn5cSL8SybC/hhGy1GpMla6ZEzmn38vG9tSqWzaDDXW0HrLtWl5\nXqx5UayS1SaRSCQSj5ok6hO/Wp7mqz3f+KGNZORLKrz7dpObptaRaJmJ3vB5SosWaoq8PJtV5g/Z\n2hhT2bpo4cll9MVvbU8uonf+Wb7i2rZoKSlkyZN8RS4ll30zVOUjfvhTIArwHyvC5z7/Y/0CP1VM\nr3TBm/aK2vVcmQYBlEqzzm9SgjpvpuvvfEz/QcSN1ElW0g62nSTsE4lEIvFYSaI+kZjhvOfaNoBg\nrUue/4QK77F8+7GaDEy/j6+PHFbM502oH/ua2nWTIN+7djwuBJ4UFS/9KTvbEYjNt7lUuMzTd44g\nAj7EHH3jPVoyZLn/OBE+iu5LU3Nt28kas9blzzq1VSColKZ1drr78UnHxnZIBKXSbGzLZhhSpYVA\nCcVZVrEVadBUIpFIJB4vSdQnEtxU6ZWUR/PkfwxKCN529a0YxrOswoUorOevj8wr5odPDwKB1llc\ncEOEZaRSGoWcfPVnWRXFvNA03nBtG0QQnGUVtetpgkGLGLS5kBmF0lPTLvw4Ed44CzERf2/L8VO9\n9VvbTX0K5yympwGXpqaQsTehUYad67gwDRemwQ9PQ4RQXNsGGxwCkRplE4lEIvFoSaI+keDHNXse\ni3EcB0m967b8f81HLvsahycTmid5xV+ufrNn+fncpNrD61qonEtRszM9CKaptWdZxUqXrFSBgOjl\nl5qPpkYJyVqXCGK85tLHzPYrU6OlYq1KnuWrm2bUO+55vN+t7ei8pZCKlS6n/PdcSpzzdN6yHarl\nvynWLFV+LzF913oe2oJGgX/R7zjPF9O6BAK13dE7Sy4V2WBNAmidpfsJE3ITiUQikfjaSaI+keCm\nOj7aOcYoyrsE6V0xjo3rab3lu/aSj2YHItpGMilpveVDt5tE/X0m1R7zuedSs9RRvHfOIIXkVC/4\n3eJ8T4y/7TZTQ+7IWOX+e8sF77rNJ9fi2P3O+wC6wZ+/sR350HDbeROTdQDrOmpXIBCf9LPXrud9\nt+Wj2c2eXLAX3Xls83OTGRTtSzY4FjpjaxWB6K3//9u79xjJtvau79+11r5VdXX3TM+c857zmvgF\nErxBGBwhBOZiAgLFNkIifwQJOdwSAxZ2FIUocUBCEBAKgoRIIReiSJbAIgqKAAEisRUkFMUXkBFO\nkFGkjRxk+xXvOe85c+vu6qrae68Lf+y9a/p++vidt2dq5veRRmemanfVqqWqPs9a9azncRj6GMit\nobTqHisiIm8vBfUiDIHjkIv9shRiSInVGORf1z32Op+0Sw7yiufdxWC9i4HcOj7tTvkmvgC8LE/5\nSbukGyvTXK7ScvkQ6sebE7rkqWzOh9XBdnc9N+7KGG8Kzo+7NS/6NU+6U3yMzFzOYT7jw+qQyuXX\nVvuZXu+Lfs2LbsUqDl1y51nBQVax7FpKl3Fybv5iSjxpz6A0/OzqGV+aH11bzed5v+LYr7djnpp3\nVS5n6dsbFz/72cuDstM8vOjXmPEMgY+BTfJsup6Hxd6dqxiJiIjsIgX1Igy7419tT4bKKWPNeovh\nvXJxbTrKTZVipsZSlw+yTl1rw7mbV+Ou/kH+Mji9XKVlCminHfIuDY+fW7tdgFTjLvVl1+1wH3dr\nXvg1uXX4lOhSoBuD6OkbgofV/Mpj+RTYhJ6n3XK7Ew+J592KzntWseNxsQAMDrvdJc+do7SONvbX\nBubTYuF8F11gm9LjU7hSKnRKzQEuPOZU8tIZwzr0rE2/vc8ZQ5+CKuCIiMhbS0G9CMOuuTN2bEIV\ncVhKl9FFz9K3V1JwbkoJKcZmVvOs5HTcfYahWRJwIYC/Sx7/9N+f7Z8BhtwMueJT06wp+L1uF/q6\nHe5laMmtG1NSLJDhY2AdejLjyK7Z8Z9e7yqc4WPEx0gfPX2KhBixxfC6hwOyibnNmdkca832dU/j\nu/yal37DWeg46dckhlKVpc22i5Tp527rTHs+2D/KZ6R8xs+un+Piyx3/g7FfwKtqiCUiIvKmUVAv\nMjKYC0H35LoDljelhLxfLthEzwfF/hD4xkAgUo0dZP+12YPttdPu91TXfconvxyfz13BYV6RgP2s\nvJAiNAW/19XSv2mHeziQuiECFsjtUH7yYTE/l6V+9fV+ZZNIJNqxQ+3KtxhjedFteL8czgkUNqON\nnsxaLI7SDb9ippKdlyv7rEJPSJHKZZyFblvmc8+VN76uy6/xcpDep8BRPucon21vmxYHr6ohloiI\nyJtGQb3IaEoTaaOnDZ4w7ti/V1z/Mbmppv0qdOTGYYBjv8Ga4f73y4vNrvoYOfWbKyk/H1YHV57r\nfFdVYHuYt7QZD29pVnU56P3K2MTJGjuUfTQGSEPnWa52zz1fkQYgAg5DFyPWWDLjsMZw5jsO8xkz\nm7EhERPkOPZceaFk5+XKPjOXb3PohxSjFhL8wvkjHuYzlr7lRb+6UA3nNtNiyxlzIaVnds3zi4iI\nvE0U1IsAT7sln7RLnnVnnIWOucuHspAuYxU7fm71jPWy57Td4IxhE/2NNe2nQPp8ys4UHH9l82Ib\noBrg1G940a+3AX1pM059eyX3+3xu/fnqPJcP1t5mFTra4FlHT24tLlmysYvtzObb5zl//fnnbKNn\nPf63cBkxpG3DK5eGOalMRkxgDSxDxxF7F2rwX67sU7mcNnie+DO6FJm5YkjlMYl/uXnBo7HU5lRd\naJrfm0z3hRgvVdO5+vpERETeJgrq5Z33tFvy5fVzrBkOuBbO4YlYMzRSCily7Nc8Tvv0KfBJu7rS\nMApur+9+XfnLs7He+9ACKo3/hZDClceaKuU871aEFLfB6uWDtTeZxmAMlDhOQk+XAgsKHhcL9vNq\nu+M/LUA+aU9oY8CnMObwp+GAbh9IDM2zAJx1YOAr6+cYY9l35Zi3H/kXqyc89nt8WD240p13+vYh\nECmMw40Bt2U429AnTxfD9vDr3BUXusLeVNd+7gq+cX7E47C49n4REZG3kYJ6eed90i6BoQvqVAbR\nJHjOmi9Wh1dSOXwKrEK6EtRfztc+HxyDubIQOPYbnHHsZfbCz52Fnk/akyvBaEhp22zpvOsWE1Pt\n90+7UzbB06VAZR1noaPMMt7LhjQgh+XD2SH7WbUN6Kfd+afdiqf9Ch88e1lBnxJ+TLsxmHEsiRPf\nktJQuWfuCjyJld8wcxl7WYVPcfuNwHnTtw8hpW11oD4GrIkc9xv66DkqFiyykpASp36DAd4v9y8s\nlFy3wm6WrIMnK/cp945I5d6th2tFRETeNgrq5Z3XxaHb6Cp0OGuZMQTekURIEWccIQU+3Sx53p5x\n5jvyaxoZ+Rj5pD3Fp0Af4za9xKcExAv11wGsMVjMtvxlFwNr3xFI5MYxc8WFJkw3HfK8bjHx0eaY\np92Ss/Hg6Ynf8DwlCnOx02ogsgodH1aHwLBAmMpn9smzGX/+eb8mkXDGMnMZ6zCcPZi7jH1bkY8L\nE2ssfqw6QzJ0MbCMHYt2yUm/4UvzoytzduZb1r7HmOHnnbGEOOT7t9Fva/gDtONjT1V0XLciP3ux\nfbx1e8YsDbn/qbyaGiUiIvK2UlAv77zCZhz3Q/nJ0mbbOuwZhufdmk3s8ClyYlpyb8jtENRuwnDd\nKnSsx86uD/MZlct50i1Z+hZnDEvfYo2hsjkhJT4Yg/r9rGKRlTxpl2zikGqSzBR42+0h2pgSz7sz\nnBmC8cvfEFw+/Lkcc/I34WXVHodlE1qKzOGMwWKJ4+Jhz71MS/FjatDKdyz7li56nLH4FDEJnLOU\nLmc2lgAFiMbjQ2Q9LgBKm7HIKiKJTewxCU76NYFhoTNbj6lE/YrMWj6oDsis5ZN2iUmBbvy2xCYw\nDjbhZVA/lfKcKgdx8imEfju/Zqy2Y9anCupFROSdoqBe3nnvlws+bo8BtjvwbfRkOFZxKB+ZWUuX\nAid9x6N8vm1KlUhkZgiUnTHbQPzEr+lj2HaSnRYKwUcehCHwn8pfljbjo80JuXUsPTzIK8qxNORJ\nvxnLbBpmzl1oODW5fPjTp3AhpQWgsI6lGXbmnXEcjqU7p4XF9mdjHCrQkDB2SBk67Td0KVLYjDwN\nufTvlXv0KbLyHcYYnDUcMqeLPT4m+hi25TErmxGIxDg0q/rJJ1/GtYb9rKQaU5IeFwuedyue9Ssy\nY8mwFHbIud/EniOzx8zl27H6sXLQIvT044LoBWsOsmo44Pxq3hoiIiI7Q0G9vPMeFQu+oXzAJ90p\nfYrMXcEvqB7yrD9jlvJxF91jGHa8+xQ5zGc871Y8LOZsQs+zbkUg4LAEEg7LMrZEEnt22AXvY6Cy\nOV0MfFgdvjyUalqWWTuWviy35SU3YyMsGDqiToF8FwOzseHUdYc/t4sM7Dawz63jMJsRU8JhLlSF\nOR/UJ8AyVLLZeM869nQxMpS9NOTW4bAUNmNmHGvfM88Kuuh5mM/oY8ELv2ETeh4Wc0rrKF1OH8P2\nsUMKnPX9+GxsA/vS5eylgoOsGnbrx4VQbt32LME01umEQ2tedvGF4VDzid+Qyhxl04uIyLtEQb0I\n8AvmD9nLL+54f3nzAmfMNmicZ/mYOz7tQadt/jkkuhjo45BWsmcLzmJHaTN6Gyiso7AZ3zB7wGxs\nRAUX68j3Y0rJtBsfx8XBdB0MAfDM5XyxetnECi5WgunjUF9/aug0OSrm7LuKvawkt/baRUFuLYdZ\nxclmg0+BZb+BMfc/txmlyzjK51gzdLWdutvu2WI4CzCm3mQYjsZvQByWYOI2XccaB7xMXZoWKyFF\n7Di3U85/FwMxQn5prLm17GcVT/IZpl0RxkPFa3q64DnJCh5//reBiIjIzlJQL8LV7qs+RoqxYktu\nHae+5dPNGbGL7LmSTeg5yGacjAG4MbCJPT4GQox0JmCMwWBYxx6H5bAY0m6ua4A0VYI531zKYtjL\nirFe/st0m+saRJ0vmZlZS+kyMjPHGcsm+G2Ky+Wykpdlxg3BOXY4gGstNkHhckiJ0mS0MZBSy8PZ\njJnLWYVuTDPKqGxG5TIOshlfmh+NqUCR5/1qXPQEcj88Rxs9pX35ugrjqPIZMQ1pQjOb8zCfXan5\n/3IOek4zS19VLNoNGRBtxtOyYu6sgnoREXmnKKgXGZ3fNf+kPeULxQFf7U6AcW8+DbniB9Wwo7+X\nFTzrzxjvYmZznoceZ+DErylsRiQxd/mQQpLPgOsbIJ1fVBg37EwXJmMdO573a0y/3pbWXLjyQrnL\nqRIMDF1Z16Efa8vn/LL9Dz9XWUdnDCd+jSeS24y9lIgMefHTgdkQEg+rYYGy50qejnPgfUtne550\nni8UQ237qZlWGzzHfkM2LjLKcwsTwxCkf1AesIrdlTEdZLNrx3nqN7Qh4POSZ+O3LI/yOYus2lbJ\nEREReVcoqBe5hk+Bw2IIJn9u/ZzMWg6KGbm1fGn+CICQEkf5Hsd+qOxS2ZwMy4oh57uNfmhe1UVo\nzzCbFYXJyGYHmLGW+nnTomLaeV/YktBFTvrl8Pgmx1nDOnZkwW7LXbahp3T5hdQdxud/3q9Yjx1o\nL9e9v655U0iJg2zGme+wxlDYjC4GuhSYmSFHf8iLj2xCT2YtR/mcr25OOQ0tpckojGOThsPC+1nF\nzOZYY6lcjsVQuYy+D5TAUT7fphI5YzhdbVj6DgPMs4KH+ZzH5eLCPK1CN3b/XfGkO6WLwwLiIKuI\nY7L9VCVHRETkXaH/84lcw8ehi2xIw077kZvxaH+f1fLlrrhPgcflAmeHZkyr0HIWuqGBEgZrLInE\nnu/Yaztm+3OsNZy2p5jQUxx84UpgvwodP7t6Rht7MuNoo+cgr+ii51m3onQ56+AvlMZsYxhv7y88\nljNmPMR7xlExPM/UzXYdOjbnDphOt7eh50E+48y3FGPVntO+pY+e3DpyhkOrhc1YjYuF0mbbw66J\nRCRxFlr2Y0kWehKJymYc5tW2PGUYa95PTalW43ge5HNKm28XGg/G9Jvz8/O8X/G0W3IaNpQ2xxiL\nxbCKPaXv+IbZg2u/DREREXmbKagXuWQVOvoxF3xyFjoWob8QYGbGvazvHiPPujOssVgDZjzgWvUt\n7588Yz8m1iHQVvukoiLGyBcu1VKfAtZ2DLZ9Cpz4NdmY9tKmQMmQ0nPi19vSmOdrt583dwXr0F/o\nhjv5pF2OpTIvamPgIK94XC74tF0ChtZ6FlnOUb7gcbGgdBmnfkNIaVw4+O03FVPFmqEuvh/HZuhS\nIIXh8K9PiT55Tnxi3m94kHfbFKJpcbAJ/dhE62RIORq/XZiuW/ohTSe3jhgT1gzlN81YJUhBvYiI\nvGsU1ItcsvTt9mDqOvRU4y54Zty19eHnruBL8yNCiqxCz6fdKSFFqq6lWJ+Q2jVra3AbmPuOtlpw\nkpfMXMGCD7aP92m75NRvOJkaYbkMh+Wkb5lnQ2rPxGG3Y1tkJYus5KQfauQ7Y5i7gsrlnPrNturM\neefLQJ43LRAO89nQiCv0VDZjLyt5MDbWevkYgdI6nrNmb2xG1UU/NLWyjjjW8G/HQD8Sh9r9fWAT\nOvZcQWEdH22OedGvtp172+hpx287Zi6jT/MrXXWdMZAYd/qzbRfb3Fge5vPPdY5ARETkbaCgXuSS\nKXCcdo0fMtSiz7MM41/WgV/6lhf9apuPvshKvnH+kKVfcxxa2JzQh0BnoDCWdfSYYMjaM2Je8lW/\nxobuQh49pG0pylXoSAlO/QZPoDCOLg7lMUuXbcc57WJ/aX50oQoOsK1Hf1lxQ8759DqmA7v7WcWH\n1cGFVJ1pbqZa+844nnRLTvyauS3wRArrxqB82L0v7ZBK9KJfD+UqI8zHw62nfsMmeDIbWYWOM99R\nWEduHZvg2YyLl6VvyczQkGrmCtJYRhQ7HFJ+XO6xn80U0IuIyDtJQb3IJVPgeF7lct6fH5Bjr5SQ\nnPLRK5tBgtxmhH6FC4FoLJs8Z897rM3wKeKiH/LVyzlL327TSqbqNlPAfdq3rGPPXlYycznOGGJM\nVDantEPaTWWzC4uLymYXDsVeF5AD2262l00LhMuB8XWHaqdr3isX2wXGmW8hQsLwXrlgP6vogmfj\ne7oQ8ClSUpBZyKzZngPIrGMTeroYhhQbAws3PMfHmxP2spLMGD6sDunTUHO/b/22A/Cw65/x/qVD\ntSIiIu8KBfUil0w14y87LCpWq+5CCcnzQkr0KfAgn+NTJC/OKFPEu5xj2/I4JYZOShVhcUQq59tg\n2KfA3BXDAdC+ZRU71r4nd45fOHuEMS+fJzPDYdXKZlcOu/aJK+knNwXktwXql10X6F9WWIfLZ9v0\nn2kn/yubY3oCsywnECmyjI3vOAv9dgEzdzl99Kx8xyb2pAQOQxs9+1nFXlYAlk30VDYjL4bg/aTf\n4IxhkVW8Xy54VCioFxGRd5OCepFLLjeimgLevbxkRXflQOpkuv0wrzDAZhGYr48JMXGGoS8qApZ2\n8Zh5MWPfFdtGUlMzpTZ6VrEnMhwqBeiSZ99WBOJ46DXxMJ/fuLiYdv/Pv57rAvK7BOp3MZ1BqC6l\n+UzjiOcOHJc2Yzq2G1MkM267oPloc8JZ7PAxElLkJERyk5GNu/FTGlFIiffL/SsNqURERN5lCupF\nrnFbwHtdes50e2Ez2thTuox1OeeUyKxdMycRbYav9tmfH2y7xE6HbRdZyVfbE1KCRVbQxcCGoWTk\nk3ZJVlk+qA6BoTHV3BW8uObbBLhaBefraRU6vrx+xpnvSAxjf5DPqdxQlnIVOtahp49Dl15nHft5\nheuH17GfVdvxnvRr2uAxxpAZy8p3GHochmIv2y4a7vP1iYiI7AoF9SKf05Seswk9L/r1kEeO4YNq\nn4Os5NOup7QZD/IZp8ayzGc8KuYc5QtmLiez9to0mON+zSftkpACgYRlqFKziR39aiixOXclH1YH\nwNXFxdRNlrHqzHXpNJ8n5eazrELHz5w95ePNKZ5ATIln/ZKn3YqjYs6+q0gMVXy69DL//UFRMfcZ\nR/ke3zg/2tbmDylS2oyQAj5BYRzOOHLjhnkYD8xO326IiIjISwrqRT6HKSg+6dZ81J7Qp0hlMyrn\nWIUOZyzvFQtOfIvBUBY5c5uzyMtrA/mPNyechRaHHRo5Ocex74gJMmMJMbCOPb2NuI3jX9+r2ETP\nKnQXcv/Pd5Pdz6rt4V14mU500wHf89d8Hp+2S550SzJrWXabsUpPIjcrln7NIptx6Icc+8xYUoJA\npItxmyf/c6tnnPg1z7oVmXVkWPpkyVMi2KHaT+6GIP58CU8RERG5SEG9yB2d9S3P+xWuW1GePOFR\nu6S3Bjt/gB0bOb3o18xdwWFe4WOkT2HstHp9N9ehK2scHhdDaTP6MOSgRyJLv6F0Oblx9AS6NOxY\nL027zSlf+pbnYYUzdluffnI+v/6uOfh3deo3BOJwfiD2+DR0k21T4KRvOfUdT9sli7wiM4YH+YwD\nN+OonLNncl70a079UFv/1LdsQo9PAWMgMxm5cVRZxoN8DhimswQqWSkiInKVgnqROzruNrhuRX72\nghQ6IhEXwS6f4azjLMtZhQ6fIj4FnnUrDPC4WHBYzLaPM3Vz3YSej9tj1sGz8i1llvM426OwGes4\nPI4xlsrlWGPownCQNgs9hqEczpRGM3cFpbv6cT6ff/5ZB3zvavqW4Xl3xsr3rELLOnp8CkQSMQZI\nCTDELGdOpEtDV97DbE5mLB9tjjnuNySGikGZHV7nOkKIgcIN5TofZDM+nB1SjQsbBfQiIiLXU1Av\nckc+BbLNEgBnLBYzBLEkZu2Kp2aPkBJtGJotDdVrEk+6JaV7edBzyg9/0i3ZBE8kkgysfMfK5jzK\n5xx7O6aq+G1H2NLlw0FSDIm0DeL7FDgLLYl0pQLN+fzz2w743tX5FJ55VnLiN5z4Fh89fixr06dI\njH5YdoSEjxWZtXTrY9rlCQfxIc9PTlmaxHMz5NzPXcEiK3HBgB2aY71fHfDwXBdbpd2IiIjcTEG9\nyB1lxmHCkDZT2ozSOtbRYzHY4LdBfDUG21PQHxg6pU7BaWEz1qGnDcPh0RAjubH0KdDFQOUyFgwN\nqWauIKVIbjP2XDEG+oFHxd6Fsc1dsc05P+98IHxT/f3z13zWQdrzKTwP8hkv+jMK4zhJkZgS1pjt\nosMZR2YsfQyUfct8taSqhpQh329YhJYXWcaxy1m7npnL2c9KvlAesOcKFmNlnK/1QK+IiMi7QEG9\nyB0dFhXHLsMET+EyDpljfQskrCt4mM/pxm6xAJXLhsOz4yHYyfvlgi+vnw+NmMZreyyVzTFYDrIZ\nZZGxCi2b6Ic678lgraEwGUdjycjzKpdjGMpE3hQI31R//64HaVeh45P2BJ/StsFUYYdAvI09GEMX\nAx0eHyOFc8xcwSzLOdysKLIMnwJfWZ/gYyTGSLFe8my+oE+B427FSVbiY+DD6gEfjM2rRERE5LMp\nqBe5o728ZG/xPt3xxwQic1fwuFxQ2Zy4OOIsy/n/zz4ljM2WyrFb6rBjbcjPBdFnvuPMd3TJM7M5\nD/MZhc1wxvKF8uBC2czhMO0QSH+xOtx2rgW2969DTxzz2BdZeePO9m319287SAuMAb6BsQnWqd/Q\nx8AsK9iLFSFFfIzMbU6ysJeVZNZisbgYyGxGbiwxBqw1eB/Jx8VOnwIJsMawCZ5N7Ploc7ztSisi\nIiK3U1Av8jnM5g+YuxyzPsWEnuRy4myfVO4xB75YHfLR5mS7E75fDE2mLldteVwOu9NTGcrJlFu+\n3VU37VDb/lI5zCngf9otOe1blrFlzxX49RBkO2M4yvd4XC4u7MTfllpz20HaKbCfuZxT//K6Lnha\nPPtZSSCSGUskMc8KFq7EJMhtxiyfc+QKfAp4C9ATSeR5yeNij7PQkdLwTQMmUY4pSj/fyjwiIiLv\nGgX1Ip9TKvdI5d619z0qFsxc8ZkNnuau4MPqkKx1Y2CfOMhmF4Lwm3bVp9v+efsJZ6GjjZ7K5oSU\neBrO2Es9j4sFx36Ns3b7c59Vo346SHv524HDbAbjw0xpP+tt+UnDI7dHINFGDw58ilQm5xfNH73s\nAutKFptTuuCJLrFiAxi6akHhMvoUKWxGbi1ufDKfgrrHioiI3JGCepFX7LYUl8vXfWl+9PN+jswY\nHuZzYAjOz3wHwGY8zDvl8d+UVjPdN411kZV8tDm+8O3BNtUnsl0gVC7fBushxW11nkkbPZmxGOCk\n31DajDbLSdWCRb/hcJ5DyFnODlhbQzY+pjNmfPzh11JmnLrHioiI3JGCepGdNQTBDss6DqkqkYTD\n0Ea/DdZv2+0+f9+wUBgC6elbhtkYwPsYr/3594p9+hQu7Ow/LhbkxuGspRyD/0TihTWEvYfMHz2A\n7Iwvhp5H0bMe04i6GMitYz8bGnnN1D1WRETkc7kORQAACWtJREFUzhTUi+yo/azieX+GMUNH10np\nHKvQse+G4Hja7b5LjfrcWh4W8yvX5dbyIJ9fSSuCIa3ncjWey4uAlzX6h46xuXE8rIbnWfqWh/mc\nE78hpEBpc/azivfOpSKJiIjI7RTUi+yo98rFeIi1Y2aLbT77flZta9oDF4Lvyy7vhN/WoOqzKuec\nD/Zf9CvSpWsqlzNzOd+4OOLT9en29rkreL/c/zwvXURERC5RUC+yo6bDtuvQDd1YjcExVJ/xKWCY\ncu6HoLsNnjZ6SutYZNW1B3jv0qDqunFcfpylb7/m7rUiIiJydwrqRXbYsMt9cG0AnY8B9BSkly6j\nHA+h3lbHHm5uUHVXP5/FgYiIiPz8KagX2XG3BdC3NZS6KVC/a/We27yqxYGIiIjcjYJ6kR13WwD9\n4ppgH26viPMqx6UgXkRE5H4oqBd5C9wUQN928FVERETeHvazLxGRXXVTDrty20VERN4u2qkXeYsp\nt11EROTdoKBe5C2n3HYREZG3n9JvRERERER2nIJ6EREREZEdp6BeRERERGTHKagXEREREdlxCupF\nRERERHacgnoRERERkR2noF5EREREZMcpqBcRERER2XEK6kVEREREdpyCehERERGRHaegXkRERERk\nx2X3+WR1Xc+Avwa8D5wCv79pmk+vuW4O/Djwx5qm+eH7HKOIiIiIyK657536PwL8VNM03wb8IPAn\nbrjufwDSvY1KRERERGSH3XdQ/xuBaef9h4DfdvmCuq7/U4Zd+n96j+MSEREREdlZX7f0m7quvxv4\no5du/ipwPP79FDi89DO/FfglTdN8T13Xv+Euz/Pw4Zwsc1/rcN967723/7qH8FbQPL4amsdXQ/P4\namgeXw3N46uheXw13sV5/LoF9U3T/ADwA+dvq+v6bwHTLO8DLy792HcDX6rr+v8Cfinwq+q6/rhp\nmv/3pud5/nz1ysb8tnrvvX0+/fT0dQ9j52keXw3N46uheXw1NI+vhubx1dA8vhqfZx7fpuD/Xg/K\nAj8G/HbgJ4DvBH7k/J1N03zX9Pe6rv8K8NdvC+hFREREROT+c+r/MvDL67r+UeAPA38aoK7rv1DX\n9a+557GIiIiIiLwV7nWnvmmaFfC7rrn9+6+57Q/cx5hERERERHadmk+JiIiIiOw4BfUiIiIiIjtO\nQb2IiIiIyI5TUC8iIiIisuMU1IuIiIiI7DgF9SIiIiIiO05BvYiIiIjIjjMppdc9BhERERER+Rpo\np15EREREZMcpqBcRERER2XEK6kVEREREdpyCehERERGRHaegXkRERERkxymoFxERERHZcQrqRURE\nRER2XPa6ByCvXl3XM+CvAe8Dp8Dvb5rm02uu+zeAv900zTff8xDfWHVdW+B/BL4FaIE/2DTNT5+7\n/w8B3wN44M82TfP3XstA33CfNY/jNe8BPw78iqZpNvc/yjffHd6PfxT43eM//4+maf70/Y/yzXeH\nefw+4A8ACfgz+lxf746fawv878DfaZrmf7r/Ub757vB+/EvAb2D4/zfA72ya5vjeB/qGu8M8fifw\np8Z//iTwfU3TvNXNmbRT/3b6I8BPNU3zbcAPAn/i8gV1Xf9e4K8Dj+95bG+6fweomqb5dcAfA/7i\ndEdd1x8A/xHDL9tvB/5cXdflaxnlm+/GeQSo6/rbgf8T+MJrGNsuue39+IuBfw/49cCvA/7tuq5/\n5WsZ5Zvvtnl8DHwvwzz+VuAv13VtXsso33y3fq5HfxY4utdR7Z7PmsdfBXx70zS/efyjgP56t32u\n94H/CvgdTdN8K/AzvAPxjoL6t9NvBH54/PsPAb/tmmueA//WvY1od2znrmmafwT86nP3/Rrgx5qm\nacdfsj8NKIi63m3zCBAZ3pfP7nlcu+a2efwy8B1N04SmaSKQA/rG43o3zmPTNE+Ab2mapgc+AF68\n7bt5X4NbP9d1Xf+7DJ/tH7r/oe2UG+dx3H3+JcD/XNf1j9V1/R+8niHuhNvej78e+CngL9Z1/SPA\nV6/LWHjbKKjfcXVdf3dd1//s/B/gEJhW9qfjvy9omubvNU1zdp9j3REHvJw7gFDXdXbDfdfOrQC3\nzyNN0/z9pmme3v+wds6N89g0Td80zZO6rk1d1/818P80TfPPX8so33yf9X70dV3/h8A/Av7GfQ9u\nh9w4j3VdfzPwXcCffB0D2zG3vR/3gP8O+D3AdwDfq2/gbnTbPD4GfgvwnwPfCfzHdV1/0z2P794p\nqN9xTdP8QNM033z+D8ObfH+8ZB948fpGuHNOeDl3ALZpGn/DfZrbm902j3J3t85jXdcV8L+M13zv\nPY9tl3zm+7Fpmv8e+BD4TXVd/5b7HNwOuW0efx/wDcA/YDif8J/Udf0d9zu8nXHbPK6A/7ZpmlXT\nNKcM8/kt9z3AHXHbPD4F/nHTNB83TbME/m/g37zvAd43BfVvpx8Dfvv49+8EfuQ1jmXXbOeurutv\nZfj6bvITwLfVdV3VdX0I/DLgn93/EHfCbfMod3fjPI55338H+KdN03xP0zTh9QxxJ9w2j3Vd139r\nnM+e4cBdfC2jfPPdOI9N03x/0zS/tmma3wz8FeC/aZrmh697ELn19+M3AT9a17Wr6zpnSDH5yfsf\n4k64bR7/CfDNdV0/HnfvvxX4/+5/iPfLpKTUwbdNXddz4K8y7Dp1wHc1TfNxXdd/AfgbTdP8xLlr\nP26a5oPXNNQ3zrnT9L8SMMC/z/BL46ebpvm7Y/WbP8ywIP4vm6b5m69tsG+wz5rHc9f9DPBLVf3m\nerfNI+CA/5UhZWTyx5um+Yf3Pc433R0+13+KYQMkAT/UNM2feW2DfYN9js/1fwF8rOo317vD+/H7\ngd/FsMj8Qc3j9e4wj78b+M/Gy/+3pmn+/OsZ6f1RUC8iIiIisuOUfiMiIiIisuMU1IuIiIiI7DgF\n9SIiIiIiO05BvYiIiIjIjlNQLyIiIiKy47LPvkRERHZRXdcHwI8Dv6Npmp95zcMREZGvI+3Ui4i8\nheq6/rXAjzI0sxERkbecgnoRkbfTHwK+D/jK6x6IiIh8/Sn9RkTkLdQ0zR8EqOv6dQ9FRETugXbq\nRURERER2nIJ6EREREZEdp6BeRERERGTHKagXEREREdlxJqX0uscgIiIiIiJfA+3Ui4iIiIjsOAX1\nIiIiIiI7TkG9iIiIiMiOU1AvIiIiIrLjFNSLiIiIiOw4BfUiIiIiIjtOQb2IiIiIyI77V8mNEZXj\nme3sAAAAAElFTkSuQmCC\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"tsne = TSNE(early_exaggeration=4.0, learning_rate=25.0, n_iter=250)\n",
"\n",
"# this stuff takes a long time, let's take a smaller sample\n",
"\n",
"X_samp, X_notused, y_samp, y_notused = train_test_split(X, y, test_size=0.33)\n",
"\n",
"transtsne = tsne.fit_transform(X_samp)\n",
"\n",
"tsnedf = pd.DataFrame(transtsne, columns=['1', '2'])\n",
"y_samp.index = range(0,len(tsnedf))\n",
"tsnedf['class'] = y_samp\n",
"\n",
"sns.lmplot(x='1', y='2', data = tsnedf,hue='class',size=10,palette=\"Set2\",fit_reg=False,scatter_kws={'alpha':0.2})"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### PCA"
]
},
{
"cell_type": "code",
"execution_count": 73,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 73,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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RnTouxiWizuMmUURERLtjoE9EnXfMXXKIiIgOhYE+EXVeWTecY+mSQ0REdAgM9Imo85ru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Q7CvF3jsECi1KO+JHu045Ns42hvG2jBKKHEq67S7YQj0Zp/m11Lyq1gDsQs9+bAIaVbz/l25L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ILaOkRW08RnkZ1XRKF2VFHyrj+w05a1z42H1xkMrf2EigkUs/uLl3IGSyoGFn7i7dhjg2dS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TogERimGXEjpmNkpzNAavNBbRPA0mcuknbMncNu2SlLsOUixFrblr5PO9Hk/LFHGmx71v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\nIYQQc+j/AbNMIJxdlNgbAAAAAElFTkSuQmCC\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ss = StandardScaler()\n",
"X_norm = ss.fit_transform(X)\n",
"forPca = pd.DataFrame(X)\n",
"\n",
"pct = PCA(n_components=2)\n",
"X_trans = pct.fit_transform(X)\n",
"pcadf = pd.DataFrame(X_trans,columns=['1','2'])\n",
"pcadf['class'] = y\n",
"\n",
"sns.lmplot(x='1',y='2',data=pcadf,hue='class',size=10,fit_reg=False,palette=\"Set2\",scatter_kws={'alpha':0.2})\n",
"#plt.axis([-500, 1500, -50, 50])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can see that there are significant overlaps, but there are regions where there are clearly more class 0s than 1s. Particularly in the t-SNE graph, there is a major high risk concentration near the center of the cloud."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"## Building the model"
]
},
{
"cell_type": "code",
"execution_count": 74,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As is customary, let's form a linear baseline with logistic regression."
]
},
{
"cell_type": "code",
"execution_count": 102,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Logistic regression test AUC\n"
]
},
{
"data": {
"text/plain": [
"0.85421480295896113"
]
},
"execution_count": 102,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"lr = LogisticRegression()\n",
"lr.fit(X_train,y_train)\n",
"log_pred = lr.predict_proba(X_test)[:,1]\n",
"print ('Logistic regression test AUC')\n",
"roc_auc_score(y_test,log_pred)"
]
},
{
"cell_type": "code",
"execution_count": 105,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Logistic regression training AUC\n"
]
},
{
"data": {
"text/plain": [
"0.84981861970157468"
]
},
"execution_count": 105,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"print('Logistic regression training AUC')\n",
"roc_auc_score(y_train, lr.predict_proba(X_train)[:,1])"
]
},
{
"cell_type": "code",
"execution_count": 103,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Random forest test AUC\n"
]
},
{
"data": {
"text/plain": [
"0.81093306111327879"
]
},
"execution_count": 103,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"rf = RandomForestClassifier(n_estimators=20)\n",
"rf.fit(X_train,y_train)\n",
"rf_pred = rf.predict_proba(X_test)[:,1]\n",
"print ('Random forest test AUC')\n",
"roc_auc_score(y_test,rf_pred)"
]
},
{
"cell_type": "code",
"execution_count": 104,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Random forest training AUC\n"
]
},
{
"data": {
"text/plain": [
"0.99989903500052468"
]
},
"execution_count": 104,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"print('Random forest training AUC')\n",
"roc_auc_score(y_train, rf.predict_proba(X_train)[:,1])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can see that logistic regression performs noticeably better on the test set than random forest. It is our experience that in many binary classification problems - especially in credit risk problems - random forest severely overfits on the training set. In fact there usually exists some significantly high number of trees (n_estimators) such that random forest can achieve 100% training set accuracy. Of course, such a model would not be a good predictor."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Optimize the hyperparameters\n",
"\n",
"Maybe get some pizza and watch a movie."
]
},
{
"cell_type": "code",
"execution_count": 106,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"grad_test = GradientBoostingRegressor(learning_rate=0.05)\n",
"hyper_params = {'n_estimators': randint(10, 650),\n",
" 'max_depth': randint(1,10),\n",
" 'min_samples_split': randint(2,5),\n",
" 'min_samples_leaf': randint(1,5)}"
]
},
{
"cell_type": "code",
"execution_count": 107,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Fitting 5 folds for each of 10 candidates, totalling 50 fits\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"[Parallel(n_jobs=4)]: Done 17 tasks | elapsed: 3.4min\n",
"[Parallel(n_jobs=4)]: Done 50 out of 50 | elapsed: 10.9min finished\n"
]
},
{
"data": {
"text/plain": [
"({'max_depth': 6,\n",
" 'min_samples_leaf': 3,\n",
" 'min_samples_split': 4,\n",
" 'n_estimators': 135},\n",
" 0.86207848826031319)"
]
},
"execution_count": 107,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"search = RandomizedSearchCV(grad_test, param_distributions=hyper_params, n_jobs=4, scoring='roc_auc', verbose=4, cv=5)\n",
"search.fit(X_train,y_train)\n",
"search.best_params_, search.best_score_"
]
},
{
"cell_type": "code",
"execution_count": 108,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"probs = search.best_estimator_.predict(X_test)"
]
},
{
"cell_type": "code",
"execution_count": 109,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.86955550384248048"
]
},
"execution_count": 109,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"roc_auc_score(y_test,probs)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"USing this method on the test set, we scored 0.866752 on the Kaggle private set (70% of the test set), compared to the 0.869558 first place score.\n",
"\n",
"The numbers seem close, but this disparity could mean several hundred more wrong lending decisions out of 150,000."
]
},
{
"cell_type": "code",
"execution_count": 143,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Fitting 5 folds for each of 10 candidates, totalling 50 fits\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"[Parallel(n_jobs=4)]: Done 17 tasks | elapsed: 11.3min\n",
"[Parallel(n_jobs=4)]: Done 50 out of 50 | elapsed: 22.1min finished\n"
]
},
{
"data": {
"text/plain": [
"({'max_delta_step': 9,\n",
" 'max_depth': 4,\n",
" 'min_child_weight': 4,\n",
" 'n_estimators': 1259,\n",
" 'subsample': 0.55139850235400301},\n",
" 0.86207848826031319)"
]
},
"execution_count": 143,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"xg = xgb.XGBRegressor(learning_rate=0.01, n_jobs=4, eval_metric='mae')\n",
"hyper_params1 = {'n_estimators': randint(1000, 2000),\n",
" 'max_depth': randint(1,12),\n",
" 'subsample': uniform(0,1),\n",
" 'min_child_weight': randint(1,10),\n",
" 'max_delta_step': randint(1,10)}\n",
"\n",
"search1 = RandomizedSearchCV(xg, param_distributions=hyper_params1 ,n_jobs=4, verbose=4, cv=5)\n",
"search1.fit(X_train,y_train)\n",
"search1.best_params_, search.best_score_"
]
},
{
"cell_type": "code",
"execution_count": 144,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0.8700812411291321"
]
},
"execution_count": 144,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"probs1 = search1.best_estimator_.predict(X_test)\n",
"roc_auc_score(y_test,probs1)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Optimal Risk Threshold\n",
"\n",
"Let's try to set an optimal risk threshold for a lender, since lending to someone with a slightly below 50% chance of default is probably not a great idea. We will stick with the gradient boosted model since that's what we ultimately used for our Kaggle submission."
]
},
{
"cell_type": "code",
"execution_count": 110,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.0723\n"
]
}
],
"source": [
"highest_auc = 0\n",
"opt_thresh = 0\n",
"n = 10000\n",
"for i in range(n):\n",
" thresh = i/n\n",
" dec = [1 if p > thresh else 0 for p in probs]\n",
" auc = roc_auc_score(y_test,dec)\n",
" if auc > highest_auc:\n",
" highest_auc = auc\n",
" opt_thresh = thresh\n",
"print (opt_thresh)\n",
"dec = [1 if p > opt_thresh else 0 for p in probs]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Only lend when there is less than 7.2 % probability of default.\n",
"\n",
"Compared to simply giving everyone a loan, we deny 1547 bad borrowers at the cost of denying 5381 good borrowers. With more data, it would be possible to go further and estimate the present values of these loans to predict a monetary value for a particular lending scheme. It is reasonable to assume that the average amount lost from a delinquincy greatly exceeds the discounted profit from a good loan."
]
},
{
"cell_type": "code",
"execution_count": 140,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Confusion matrix\n",
"\n",
"[[22632 5381]\n",
" [ 440 1547]]\n",
"\n",
"Normalized confusion matrix\n",
"\n",
"[[ 0.80791061 0.19208939]\n",
" [ 0.22143936 0.77856064]]\n",
"\n",
"Classification report\n",
"\n",
" precision recall f1-score support\n",
"\n",
" 0 0.98 0.81 0.89 28013\n",
" 1 0.22 0.78 0.35 1987\n",
"\n",
"avg / total 0.93 0.81 0.85 30000\n",
"\n"
]
},
{
"data": {
"text/plain": [
"Text(0.5,52,'Lender classification')"
]
},
"execution_count": 140,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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pNCmuv4+I9YEfADtk5j0d90mSNCYGk+0/RkGTOdczqHZnOgi4IiKeC9zcaa8kSWNhckSG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\nTkSuQmCC\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"conf = confusion_matrix(y_test,dec)\n",
"\n",
"norm_conf = conf.astype('float') / conf.sum(axis=1)[:,np.newaxis]\n",
"\n",
"print ('Confusion matrix\\n')\n",
"print (conf)\n",
"print ('\\nNormalized confusion matrix\\n')\n",
"print (norm_conf)\n",
"print ('\\nClassification report\\n')\n",
"print (classification_report(y_test,dec))\n",
"\n",
"plt.figure(figsize=(8,8))\n",
"sns.heatmap(norm_conf)\n",
"plt.title('Confusion heatmap')\n",
"plt.ylabel('True classification')\n",
"plt.xlabel('Lender classification')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"## How Useful is Age?\n",
"\n",
"Age is useful in income prediction, but how good is it assessing risk in this data set? Should we try to create a model with binned ages or leave it as is for now?"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Weight of Evidence and Information Value\n",
"\n",
"We can use a more traditional method such as weight of evidence (WoE) to assess age.\n",
"\n",
"WoE: log(%non event/% event) where the \"event\" in question is delinquincy\n",
"\n",
"Age is technically already binned, since time is a continuous variable and we're rounding down to whole numbers. Still, grouping them further may make it more useful. As we saw from the income analysis above, there is evidence that income groups can be usefully binned. However, we will stick with age for now."
]
},
{
"cell_type": "code",
"execution_count": 117,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5,1,'Number of loans by age')"
]
},
"execution_count": 117,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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UIS1JUlGGtCRJRRnSkiQVZUhLklTUyKAboJoufM8XBt0ESRp6jqQlSSrKkJYkqShDWpKk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\nKENakqSiDGlJkor6/1xIpGPSx5EwAAAAAElFTkSuQmCC\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(8,8))\n",
"df['age'].hist(bins=100)\n",
"plt.title('Number of loans by age')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's be generous and say that everyone above 81 is now 81."
]
},
{
"cell_type": "code",
"execution_count": 124,
"metadata": {},
"outputs": [],
"source": [
"df2 = df.copy()\n",
"df2['age'] = [v if v <= 81 else 81 for v in df2['age']]"
]
},
{
"cell_type": "code",
"execution_count": 125,
"metadata": {},
"outputs": [],
"source": [
"unique_ages = df2['age'].value_counts().index.sort_values()"
]
},
{
"cell_type": "code",
"execution_count": 126,
"metadata": {},
"outputs": [],
"source": [
"bad_age = []\n",
"good_age = []\n",
"for a in unique_ages:\n",
" good_age.append(df2[df2['age']==a].groupby('SeriousDlqin2yrs').count()['age'][0])\n",
" bad_age.append(df2[df2['age']==a].groupby('SeriousDlqin2yrs').count()['age'][1])"
]
},
{
"cell_type": "code",
"execution_count": 127,
"metadata": {},
"outputs": [],
"source": [
"age_df = pd.DataFrame(list(zip(unique_ages,good_age,bad_age)),columns=['Age','TotalNonDlq','TotalDlq'])\n",
"total_good = sum(age_df['TotalNonDlq'])\n",
"total_dlq = sum(age_df['TotalDlq'])"
]
},
{
"cell_type": "code",
"execution_count": 128,
"metadata": {},
"outputs": [],
"source": [
"age_df['PercentNonDlq'] = age_df['TotalNonDlq'].apply(lambda v:v/total_good)\n",
"age_df['PercentDlq'] = age_df['TotalDlq'].apply(lambda v:v/total_dlq)"
]
},
{
"cell_type": "code",
"execution_count": 129,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"age_df['WoE'] = np.log(age_df['PercentNonDlq']/age_df['PercentDlq'])"
]
},
{
"cell_type": "code",
"execution_count": 130,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5,1,'WoE by Age')"
]
},
"execution_count": 130,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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sFjd8O/69QxcYiqdobfBpclqFUaiLiFQROzNGNT1Bolu2zeMvHubEuRDgNJf5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\npEz8f+dXLs56pekHAAAAAElFTkSuQmCC\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(8,8))\n",
"sns.regplot('Age','WoE',age_df,order=3)\n",
"plt.title ('WoE by Age')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The cubic fit line doesn't really have any use, it just looks nice.\n",
"\n",
"We can also find the information value for each age."
]
},
{
"cell_type": "code",
"execution_count": 131,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" Age | \n",
" TotalNonDlq | \n",
" TotalDlq | \n",
" PercentNonDlq | \n",
" PercentDlq | \n",
" WoE | \n",
" IV | \n",
"
\n",
" \n",
" \n",
" \n",
" 0 | \n",
" 21 | \n",
" 171 | \n",
" 13 | \n",
" 0.001222 | \n",
" 0.001297 | \n",
" -0.059561 | \n",
" 0.000004 | \n",
"
\n",
" \n",
" 1 | \n",
" 22 | \n",
" 398 | \n",
" 36 | \n",
" 0.002843 | \n",
" 0.003591 | \n",
" -0.233342 | \n",
" 0.000174 | \n",
"
\n",
" \n",
" 2 | \n",
" 23 | \n",
" 571 | \n",
" 70 | \n",
" 0.004079 | \n",
" 0.006982 | \n",
" -0.537381 | \n",
" 0.001560 | \n",
"
\n",
" \n",
" 3 | \n",
" 24 | \n",
" 718 | \n",
" 98 | \n",
" 0.005130 | \n",
" 0.009775 | \n",
" -0.644773 | \n",
" 0.002995 | \n",
"
\n",
" \n",
" 4 | \n",
" 25 | \n",
" 832 | \n",
" 121 | \n",
" 0.005944 | \n",
" 0.012069 | \n",
" -0.708233 | \n",
" 0.004338 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" Age TotalNonDlq TotalDlq PercentNonDlq PercentDlq WoE IV\n",
"0 21 171 13 0.001222 0.001297 -0.059561 0.000004\n",
"1 22 398 36 0.002843 0.003591 -0.233342 0.000174\n",
"2 23 571 70 0.004079 0.006982 -0.537381 0.001560\n",
"3 24 718 98 0.005130 0.009775 -0.644773 0.002995\n",
"4 25 832 121 0.005944 0.012069 -0.708233 0.004338"
]
},
"execution_count": 131,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"age_df['IV'] = age_df['WoE']*(age_df['PercentNonDlq'] - age_df['PercentDlq'])\n",
"age_df.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Siddiqi (2006) suggests that a bin with an IV of under 0.1 has weak predictive power, and under 0.02 it's not useful at all. We should aim for the (0.3,0.5) range."
]
},
{
"cell_type": "code",
"execution_count": 132,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
""
]
},
"execution_count": 132,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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CBIFPm6ZZM+r1zwBPAGHgS6ZpPjvqtd8HKk3T/MPor78AfApojV7yhGmaZsq/CxEREZcJ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\nYThs8dSrNRw518p/vnY+ofe8cbSRgWC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"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=[8,8])\n",
"age_df['IV'].plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The IVs are very low, so let's try binning them further."
]
},
{
"cell_type": "code",
"execution_count": 133,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"freq=pd.DataFrame(sorted(df2['age']))"
]
},
{
"cell_type": "code",
"execution_count": 134,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"df2['ageCat'] = np.digitize(np.array(df2['age']),freq.quantile(q=np.arange(0.1,0.9,0.1))[0].values)"
]
},
{
"cell_type": "code",
"execution_count": 135,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"unique_cats = df2['ageCat'].value_counts().index.sort_values()"
]
},
{
"cell_type": "code",
"execution_count": 136,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"bad_cat = []\n",
"good_cat = []\n",
"for a in unique_cats:\n",
" good_cat.append(df2[df2['ageCat']==a].groupby('SeriousDlqin2yrs').count()['ageCat'][0])\n",
" bad_cat.append(df2[df2['ageCat']==a].groupby('SeriousDlqin2yrs').count()['ageCat'][1])"
]
},
{
"cell_type": "code",
"execution_count": 137,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"cat_df = pd.DataFrame(list(zip(unique_cats,good_cat,bad_cat)),columns=['ageCat','TotalNonDlq','TotalDlq'])"
]
},
{
"cell_type": "code",
"execution_count": 138,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"cat_df['PercentNonDlq'] = cat_df['TotalNonDlq'].apply(lambda v:v/total_good)\n",
"cat_df['PercentDlq'] = cat_df['TotalDlq'].apply(lambda v:v/total_dlq)\n",
"cat_df['WoE'] = np.log(cat_df['PercentNonDlq']/cat_df['PercentDlq'])\n",
"cat_df['IV'] = cat_df['WoE']*(cat_df['PercentNonDlq'] - cat_df['PercentDlq'])"
]
},
{
"cell_type": "code",
"execution_count": 139,
"metadata": {},
"outputs": [
{
"data": {
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],
"text/plain": [
" ageCat TotalNonDlq TotalDlq PercentNonDlq PercentDlq WoE \\\n",
"0 0 13152 1694 0.093960 0.168961 -0.586794 \n",
"1 1 12775 1396 0.091267 0.139238 -0.422396 \n",
"2 2 14089 1403 0.100654 0.139936 -0.329493 \n",
"3 3 13073 1156 0.093396 0.115300 -0.210692 \n",
"4 4 13872 1151 0.099104 0.114802 -0.147034 \n",
"5 5 13229 1005 0.094510 0.100239 -0.058851 \n",
"6 6 16074 871 0.114836 0.086874 0.279041 \n",
"7 7 13299 568 0.095011 0.056653 0.517048 \n",
"8 8 30411 782 0.217262 0.077997 1.024430 \n",
"\n",
" IV \n",
"0 0.044010 \n",
"1 0.020263 \n",
"2 0.012943 \n",
"3 0.004615 \n",
"4 0.002308 \n",
"5 0.000337 \n",
"6 0.007802 \n",
"7 0.019833 \n",
"8 0.142667 "
]
},
"execution_count": 139,
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"cat_df"
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"source": [
"It seems like age by itself is not worth binning, with such low IV scores. However, these only apply for age categories on their own. It is entirely possible that they can be the basis for features that may be useful. A few that come to mind include finding the log difference between an individual's income and their age group average, or a similar measure of dependents relative to the group average.\n",
"\n",
"Measures such as these may give additional information about an individual's economic situation and ability to pay, and they would be useful to explore in any further research."
]
},
{
"cell_type": "markdown",
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"source": [
"\n",
"## Conclusion\n",
"\n",
"In terms of the baseline unused models, logistic regression performs very well. This is not very surprising, as it is the traditional method of risk classification, with nearly 100 years of theoretical development and practical use. It is also a deterministic model that requires relatively little computing power, and so it can easily and quickly be reproduced on even a mobile device. Being deterministic, these results are 100% consistent for any given set of observations and features. However, on average, the results from boosting methods are clearly superior. Without using XGBoost or more ensemble methods, we managed to achieve a score of 0.866752 on the Kaggle private leaderboard with just a randomized cross-validated gradient boosting model.\n",
"\n",
"The log transformations removed many of the outliers, but it's not clear how much of a difference this made in our final model, since decision tree methods tend to be robust for monotonic transformations (since they are order-preserving). However, they did make the data more palatable and easier to visualize. In addition to the features mentioned above for age we could try traditional methods like including squared features or trying different interactions and ratios between the existing features. We could also try to improve monthly income estimation, which is in itself a large topic. Finding more uses for age could be a major component of that as well.\n",
"\n",
"The prize winning team used over 20 features and was developed over the course of several months. Intellectually, it would have been fascinating to have been a fly on the wall during their deliberations. But in a more practical sense, we have to consider the tradeoff between time and money, and the diminishing returns from spending a lot more time to make relatively minor improvements in the model."
]
}
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