{"cells":[{"attachments":{},"cell_type":"markdown","metadata":{"_cell_guid":"b5d748ec-ba93-440b-9020-647f44fe6e0f","_uuid":"aa2ef3305175ad6f2f289d18aa9d1e2e570bccd4"},"source":["# **Predictors of mental health illness**\n","\n","`Last update: 16/12/2022`\n","\n","The proccess is the following:\n","1. [Library and data loading](#Library_and_data_loading)\n","2. [Data cleaning](#Data_cleaning)\n","3. [Encoding data](#Encoding_data)\n","4. [Covariance Matrix. Variability comparison between categories of variables](#Covariance_Matrix)\n","5. [Some charts to see data relationship](#Some_charts_to_see_data_relationship)\n","6. [Scaling and fitting](#Scaling_and_fitting)\n","7. [Tuning](#Tuning)\n","8. [Evaluating models](#Evaluating_models)    \n","    1. [Logistic Eegression](#Logistic_regressio)\n","    2. [KNeighbors Classifier](#KNeighborsClassifier)\n","    3. [Decision Tree Classifier](#Decision_Tree_classifier)\n","    4. [Random Forests](#Random_Forests)\n","    5. [Bagging](#Bagging)\n","    6. [Boosting](#Boosting)\n","    7. [Stacking](#Stacking)\n","9. [Predicting with Neural Network](#Predicting_with_Neural_Network)\n","10. [Success method plot](#Success_method_plot)\n","11. [Creating predictions on test set](#Creating_predictions_on_test_set)\n","12. [Submission](#Submission)\n","13. [Conclusions](#Conclusions)"]},{"cell_type":"markdown","metadata":{"_cell_guid":"dc7cd7b3-32e0-4284-b669-87d4fb6dbaf8","_uuid":"dfeb8a6c8cc31996e69537a9a25102c42ccf3e6d"},"source":["<a id='Library_and_data_loading'></a>\n","## **1. Library and data loading** ##"]},{"cell_type":"code","execution_count":90,"metadata":{"_cell_guid":"507667c6-d01e-44e4-b8d7-a2d61d3eb02a","_uuid":"d59a9a91a5da35354233aaf9fc1f0dd66686349b","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["(1259, 27)\n","                Age\n","count  1.259000e+03\n","mean   7.942815e+07\n","std    2.818299e+09\n","min   -1.726000e+03\n","25%    2.700000e+01\n","50%    3.100000e+01\n","75%    3.600000e+01\n","max    1.000000e+11\n","<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 1259 entries, 0 to 1258\n","Data columns (total 27 columns):\n"," #   Column                     Non-Null Count  Dtype \n","---  ------                     --------------  ----- \n"," 0   Timestamp                  1259 non-null   object\n"," 1   Age                        1259 non-null   int64 \n"," 2   Gender                     1259 non-null   object\n"," 3   Country                    1259 non-null   object\n"," 4   state                      744 non-null    object\n"," 5   self_employed              1241 non-null   object\n"," 6   family_history             1259 non-null   object\n"," 7   treatment                  1259 non-null   object\n"," 8   work_interfere             995 non-null    object\n"," 9   no_employees               1259 non-null   object\n"," 10  remote_work                1259 non-null   object\n"," 11  tech_company               1259 non-null   object\n"," 12  benefits                   1259 non-null   object\n"," 13  care_options               1259 non-null   object\n"," 14  wellness_program           1259 non-null   object\n"," 15  seek_help                  1259 non-null   object\n"," 16  anonymity                  1259 non-null   object\n"," 17  leave                      1259 non-null   object\n"," 18  mental_health_consequence  1259 non-null   object\n"," 19  phys_health_consequence    1259 non-null   object\n"," 20  coworkers                  1259 non-null   object\n"," 21  supervisor                 1259 non-null   object\n"," 22  mental_health_interview    1259 non-null   object\n"," 23  phys_health_interview      1259 non-null   object\n"," 24  mental_vs_physical         1259 non-null   object\n"," 25  obs_consequence            1259 non-null   object\n"," 26  comments                   164 non-null    object\n","dtypes: int64(1), object(26)\n","memory usage: 265.7+ KB\n","None\n"]}],"source":["import numpy as np # linear algebra\n","import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","\n","from scipy import stats\n","from scipy.stats import randint\n","\n","# prep\n","from sklearn.model_selection import train_test_split\n","from sklearn import preprocessing\n","from sklearn.datasets import make_classification\n","from sklearn.preprocessing import binarize, LabelEncoder, MinMaxScaler\n","\n","# models\n","from sklearn.linear_model import LogisticRegression\n","from sklearn.tree import DecisionTreeClassifier\n","from sklearn.ensemble import RandomForestClassifier, ExtraTreesClassifier\n","\n","# Validation libraries\n","from sklearn import metrics\n","from sklearn.metrics import accuracy_score, mean_squared_error, precision_recall_curve\n","from sklearn.model_selection import cross_val_score\n","\n","#Neural Network\n","from sklearn.neural_network import MLPClassifier\n","from sklearn.model_selection import RandomizedSearchCV\n","\n","#Bagging\n","from sklearn.ensemble import BaggingClassifier, AdaBoostClassifier\n","from sklearn.neighbors import KNeighborsClassifier\n","\n","#Naive bayes\n","from sklearn.naive_bayes import GaussianNB \n","\n","#Stacking\n","from mlxtend.classifier import StackingClassifier\n","\n","\n","# Any results you write to the current directory are saved as output.\n","\n","#reading in CSV's from a file path\n","train_df = pd.read_csv('raw_datasets\\OSMI Mental Health in Tech Survey 2014.csv')\n","\n","\n","#Pandas: whats the data row count?\n","print(train_df.shape)\n","    \n","#Pandas: whats the distribution of the data?\n","print(train_df.describe())\n","    \n","#Pandas: What types of data do i have?\n","print(train_df.info())\n"]},{"cell_type":"markdown","metadata":{"_cell_guid":"9a8c2272-ba6c-477a-9710-b82d57a1804f","_uuid":"e4eef2cb6628af4e719fdbd434ccbacc1846e487"},"source":["<a id='Data_cleaning'></a>\n","## **2. Data cleaning** ##"]},{"cell_type":"code","execution_count":91,"metadata":{"_cell_guid":"a8e060e1-18fa-4214-a6fb-f924f74af108","_kg_hide-input":true,"_kg_hide-output":true,"_uuid":"6088e9b05d062fbed2c2272924e9d8aa0e23e5b7","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["                           Total   Percent\n","comments                    1095  0.869738\n","state                        515  0.409055\n","work_interfere               264  0.209690\n","self_employed                 18  0.014297\n","seek_help                      0  0.000000\n","obs_consequence                0  0.000000\n","mental_vs_physical             0  0.000000\n","phys_health_interview          0  0.000000\n","mental_health_interview        0  0.000000\n","supervisor                     0  0.000000\n","coworkers                      0  0.000000\n","phys_health_consequence        0  0.000000\n","mental_health_consequence      0  0.000000\n","leave                          0  0.000000\n","anonymity                      0  0.000000\n","Timestamp                      0  0.000000\n","wellness_program               0  0.000000\n","Age                            0  0.000000\n","benefits                       0  0.000000\n","tech_company                   0  0.000000\n","remote_work                    0  0.000000\n","no_employees                   0  0.000000\n","treatment                      0  0.000000\n","family_history                 0  0.000000\n","Country                        0  0.000000\n","Gender                         0  0.000000\n","care_options                   0  0.000000\n"]}],"source":["#missing data\n","total = train_df.isnull().sum().sort_values(ascending=False)\n","percent = (train_df.isnull().sum()/train_df.isnull().count()).sort_values(ascending=False)\n","missing_data = pd.concat([total, percent], axis=1, keys=['Total', 'Percent'])\n","missing_data.head(20)\n","print(missing_data)\n"]},{"cell_type":"code","execution_count":92,"metadata":{"_cell_guid":"d21825da-92d6-48e2-9ab9-c63fbbbbd2b7","_uuid":"50bdd9973655b16c61711d519645df6afb2ca214","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Age</th>\n","      <th>Gender</th>\n","      <th>Country</th>\n","      <th>self_employed</th>\n","      <th>family_history</th>\n","      <th>treatment</th>\n","      <th>work_interfere</th>\n","      <th>no_employees</th>\n","      <th>remote_work</th>\n","      <th>tech_company</th>\n","      <th>...</th>\n","      <th>anonymity</th>\n","      <th>leave</th>\n","      <th>mental_health_consequence</th>\n","      <th>phys_health_consequence</th>\n","      <th>coworkers</th>\n","      <th>supervisor</th>\n","      <th>mental_health_interview</th>\n","      <th>phys_health_interview</th>\n","      <th>mental_vs_physical</th>\n","      <th>obs_consequence</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>37</td>\n","      <td>Female</td>\n","      <td>United States</td>\n","      <td>NaN</td>\n","      <td>No</td>\n","      <td>Yes</td>\n","      <td>Often</td>\n","      <td>6-25</td>\n","      <td>No</td>\n","      <td>Yes</td>\n","      <td>...</td>\n","      <td>Yes</td>\n","      <td>Somewhat easy</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>Some of them</td>\n","      <td>Yes</td>\n","      <td>No</td>\n","      <td>Maybe</td>\n","      <td>Yes</td>\n","      <td>No</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>44</td>\n","      <td>M</td>\n","      <td>United States</td>\n","      <td>NaN</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>Rarely</td>\n","      <td>More than 1000</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>...</td>\n","      <td>Don't know</td>\n","      <td>Don't know</td>\n","      <td>Maybe</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>Don't know</td>\n","      <td>No</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>32</td>\n","      <td>Male</td>\n","      <td>Canada</td>\n","      <td>NaN</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>Rarely</td>\n","      <td>6-25</td>\n","      <td>No</td>\n","      <td>Yes</td>\n","      <td>...</td>\n","      <td>Don't know</td>\n","      <td>Somewhat difficult</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>No</td>\n","      <td>No</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>31</td>\n","      <td>Male</td>\n","      <td>United Kingdom</td>\n","      <td>NaN</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>Often</td>\n","      <td>26-100</td>\n","      <td>No</td>\n","      <td>Yes</td>\n","      <td>...</td>\n","      <td>No</td>\n","      <td>Somewhat difficult</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>Some of them</td>\n","      <td>No</td>\n","      <td>Maybe</td>\n","      <td>Maybe</td>\n","      <td>No</td>\n","      <td>Yes</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>31</td>\n","      <td>Male</td>\n","      <td>United States</td>\n","      <td>NaN</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>Never</td>\n","      <td>100-500</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>...</td>\n","      <td>Don't know</td>\n","      <td>Don't know</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>Some of them</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>Don't know</td>\n","      <td>No</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5 rows × 24 columns</p>\n","</div>"],"text/plain":["   Age  Gender         Country self_employed family_history treatment  \\\n","0   37  Female   United States           NaN             No       Yes   \n","1   44       M   United States           NaN             No        No   \n","2   32    Male          Canada           NaN             No        No   \n","3   31    Male  United Kingdom           NaN            Yes       Yes   \n","4   31    Male   United States           NaN             No        No   \n","\n","  work_interfere    no_employees remote_work tech_company  ...   anonymity  \\\n","0          Often            6-25          No          Yes  ...         Yes   \n","1         Rarely  More than 1000          No           No  ...  Don't know   \n","2         Rarely            6-25          No          Yes  ...  Don't know   \n","3          Often          26-100          No          Yes  ...          No   \n","4          Never         100-500         Yes          Yes  ...  Don't know   \n","\n","                leave mental_health_consequence phys_health_consequence  \\\n","0       Somewhat easy                        No                      No   \n","1          Don't know                     Maybe                      No   \n","2  Somewhat difficult                        No                      No   \n","3  Somewhat difficult                       Yes                     Yes   \n","4          Don't know                        No                      No   \n","\n","      coworkers supervisor mental_health_interview phys_health_interview  \\\n","0  Some of them        Yes                      No                 Maybe   \n","1            No         No                      No                    No   \n","2           Yes        Yes                     Yes                   Yes   \n","3  Some of them         No                   Maybe                 Maybe   \n","4  Some of them        Yes                     Yes                   Yes   \n","\n","  mental_vs_physical obs_consequence  \n","0                Yes              No  \n","1         Don't know              No  \n","2                 No              No  \n","3                 No             Yes  \n","4         Don't know              No  \n","\n","[5 rows x 24 columns]"]},"execution_count":92,"metadata":{},"output_type":"execute_result"}],"source":["#dealing with missing data\n","#Let’s get rid of the variables \"Timestamp\",“comments”, “state” just to make our lives easier.\n","train_df = train_df.drop(['comments'], axis= 1)\n","train_df = train_df.drop(['state'], axis= 1)\n","train_df = train_df.drop(['Timestamp'], axis= 1)\n","\n","train_df.isnull().sum().max() #just checking that there's no missing data missing...\n","train_df.head(5)"]},{"cell_type":"markdown","metadata":{"_cell_guid":"871f195e-d25d-426a-84f5-997b017b892c","_uuid":"7a54d86c30dab2e270e7374455178f8abcc15a7c"},"source":["**Cleaning NaN**"]},{"cell_type":"code","execution_count":93,"metadata":{"_cell_guid":"2bf70e26-afd9-4766-95ae-68d8ff9b21db","_uuid":"08b863f7d666b7e68cef056ba2a0ae033cbdeb9d","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Age</th>\n","      <th>Gender</th>\n","      <th>Country</th>\n","      <th>self_employed</th>\n","      <th>family_history</th>\n","      <th>treatment</th>\n","      <th>work_interfere</th>\n","      <th>no_employees</th>\n","      <th>remote_work</th>\n","      <th>tech_company</th>\n","      <th>...</th>\n","      <th>anonymity</th>\n","      <th>leave</th>\n","      <th>mental_health_consequence</th>\n","      <th>phys_health_consequence</th>\n","      <th>coworkers</th>\n","      <th>supervisor</th>\n","      <th>mental_health_interview</th>\n","      <th>phys_health_interview</th>\n","      <th>mental_vs_physical</th>\n","      <th>obs_consequence</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>37</td>\n","      <td>Female</td>\n","      <td>United States</td>\n","      <td>NaN</td>\n","      <td>No</td>\n","      <td>Yes</td>\n","      <td>Often</td>\n","      <td>6-25</td>\n","      <td>No</td>\n","      <td>Yes</td>\n","      <td>...</td>\n","      <td>Yes</td>\n","      <td>Somewhat easy</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>Some of them</td>\n","      <td>Yes</td>\n","      <td>No</td>\n","      <td>Maybe</td>\n","      <td>Yes</td>\n","      <td>No</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>44</td>\n","      <td>M</td>\n","      <td>United States</td>\n","      <td>NaN</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>Rarely</td>\n","      <td>More than 1000</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>...</td>\n","      <td>Don't know</td>\n","      <td>Don't know</td>\n","      <td>Maybe</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>Don't know</td>\n","      <td>No</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>32</td>\n","      <td>Male</td>\n","      <td>Canada</td>\n","      <td>NaN</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>Rarely</td>\n","      <td>6-25</td>\n","      <td>No</td>\n","      <td>Yes</td>\n","      <td>...</td>\n","      <td>Don't know</td>\n","      <td>Somewhat difficult</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>No</td>\n","      <td>No</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>31</td>\n","      <td>Male</td>\n","      <td>United Kingdom</td>\n","      <td>NaN</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>Often</td>\n","      <td>26-100</td>\n","      <td>No</td>\n","      <td>Yes</td>\n","      <td>...</td>\n","      <td>No</td>\n","      <td>Somewhat difficult</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>Some of them</td>\n","      <td>No</td>\n","      <td>Maybe</td>\n","      <td>Maybe</td>\n","      <td>No</td>\n","      <td>Yes</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>31</td>\n","      <td>Male</td>\n","      <td>United States</td>\n","      <td>NaN</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>Never</td>\n","      <td>100-500</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>...</td>\n","      <td>Don't know</td>\n","      <td>Don't know</td>\n","      <td>No</td>\n","      <td>No</td>\n","      <td>Some of them</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>Yes</td>\n","      <td>Don't know</td>\n","      <td>No</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5 rows × 24 columns</p>\n","</div>"],"text/plain":["   Age  Gender         Country self_employed family_history treatment  \\\n","0   37  Female   United States           NaN             No       Yes   \n","1   44       M   United States           NaN             No        No   \n","2   32    Male          Canada           NaN             No        No   \n","3   31    Male  United Kingdom           NaN            Yes       Yes   \n","4   31    Male   United States           NaN             No        No   \n","\n","  work_interfere    no_employees remote_work tech_company  ...   anonymity  \\\n","0          Often            6-25          No          Yes  ...         Yes   \n","1         Rarely  More than 1000          No           No  ...  Don't know   \n","2         Rarely            6-25          No          Yes  ...  Don't know   \n","3          Often          26-100          No          Yes  ...          No   \n","4          Never         100-500         Yes          Yes  ...  Don't know   \n","\n","                leave mental_health_consequence phys_health_consequence  \\\n","0       Somewhat easy                        No                      No   \n","1          Don't know                     Maybe                      No   \n","2  Somewhat difficult                        No                      No   \n","3  Somewhat difficult                       Yes                     Yes   \n","4          Don't know                        No                      No   \n","\n","      coworkers supervisor mental_health_interview phys_health_interview  \\\n","0  Some of them        Yes                      No                 Maybe   \n","1            No         No                      No                    No   \n","2           Yes        Yes                     Yes                   Yes   \n","3  Some of them         No                   Maybe                 Maybe   \n","4  Some of them        Yes                     Yes                   Yes   \n","\n","  mental_vs_physical obs_consequence  \n","0                Yes              No  \n","1         Don't know              No  \n","2                 No              No  \n","3                 No             Yes  \n","4         Don't know              No  \n","\n","[5 rows x 24 columns]"]},"execution_count":93,"metadata":{},"output_type":"execute_result"}],"source":["# Assign default values for each data type\n","defaultInt = 0\n","defaultString = 'NaN'\n","defaultFloat = 0.0\n","\n","# Create lists by data tpe\n","intFeatures = ['Age']\n","stringFeatures = ['Gender', 'Country', 'self_employed', 'family_history', 'treatment', 'work_interfere',\n","                 'no_employees', 'remote_work', 'tech_company', 'anonymity', 'leave', 'mental_health_consequence',\n","                 'phys_health_consequence', 'coworkers', 'supervisor', 'mental_health_interview', 'phys_health_interview',\n","                 'mental_vs_physical', 'obs_consequence', 'benefits', 'care_options', 'wellness_program',\n","                 'seek_help']\n","floatFeatures = []\n","\n","# Clean the NaN's\n","for feature in train_df:\n","    if feature in intFeatures:\n","        train_df[feature] = train_df[feature].fillna(defaultInt)\n","    elif feature in stringFeatures:\n","        train_df[feature] = train_df[feature].fillna(defaultString)\n","    elif feature in floatFeatures:\n","        train_df[feature] = train_df[feature].fillna(defaultFloat)\n","    else:\n","        print('Error: Feature %s not recognized.' % feature)\n","train_df.head(5)   "]},{"cell_type":"code","execution_count":94,"metadata":{"_cell_guid":"4ec04bf5-c88f-4839-a79b-2d3ad6962599","_uuid":"4507b7c43c9663f90a9cf915dd73850e4e0f17ab","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["['female' 'male' 'trans']\n"]}],"source":["#clean 'Gender'\n","#Slower case all columm's elements\n","gender = train_df['Gender'].str.lower()\n","#print(gender)\n","\n","#Select unique elements\n","gender = train_df['Gender'].unique()\n","\n","#Made gender groups\n","male_str = [\"male\", \"m\", \"male-ish\", \"maile\", \"mal\", \"male (cis)\", \"make\", \"male \", \"man\",\"msle\", \"mail\", \"malr\",\"cis man\", \"Cis Male\", \"cis male\"]\n","trans_str = [\"trans-female\", \"something kinda male?\", \"queer/she/they\", \"non-binary\",\"nah\", \"all\", \"enby\", \"fluid\", \"genderqueer\", \"androgyne\", \"agender\", \"male leaning androgynous\", \"guy (-ish) ^_^\", \"trans woman\", \"neuter\", \"female (trans)\", \"queer\", \"ostensibly male, unsure what that really means\"]           \n","female_str = [\"cis female\", \"f\", \"female\", \"woman\",  \"femake\", \"female \",\"cis-female/femme\", \"female (cis)\", \"femail\"]\n","\n","for (row, col) in train_df.iterrows():\n","\n","    if str.lower(col.Gender) in male_str:\n","        train_df['Gender'].replace(to_replace=col.Gender, value='male', inplace=True)\n","\n","    if str.lower(col.Gender) in female_str:\n","        train_df['Gender'].replace(to_replace=col.Gender, value='female', inplace=True)\n","\n","    if str.lower(col.Gender) in trans_str:\n","        train_df['Gender'].replace(to_replace=col.Gender, value='trans', inplace=True)\n","\n","#Get rid of bullshit\n","stk_list = ['A little about you', 'p']\n","train_df = train_df[~train_df['Gender'].isin(stk_list)]\n","\n","print(train_df['Gender'].unique())"]},{"cell_type":"code","execution_count":95,"metadata":{"_cell_guid":"0e211fa8-a69e-42c1-adda-375d82916db4","_uuid":"818c6a88caf07379d5012f15919d6eb46ae6d98c","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[],"source":["#complete missing age with mean\n","train_df['Age'].fillna(train_df['Age'].median(), inplace = True)\n","\n","# Fill with media() values < 18 and > 120\n","s = pd.Series(train_df['Age'])\n","s[s<18] = train_df['Age'].median()\n","train_df['Age'] = s\n","s = pd.Series(train_df['Age'])\n","s[s>120] = train_df['Age'].median()\n","train_df['Age'] = s\n","\n","#Ranges of Age\n","train_df['age_range'] = pd.cut(train_df['Age'], [0,20,30,65,100], labels=[\"0-20\", \"21-30\", \"31-65\", \"66-100\"], include_lowest=True)\n","\n"]},{"cell_type":"code","execution_count":96,"metadata":{"_cell_guid":"ffa02f53-30cd-4f7e-bcd9-f74b3c0826c4","_uuid":"55b6621c02ca8d8603d815da74b15ad621b46629","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["['No' 'Yes']\n"]}],"source":["#There are only 0.014% of self employed so let's change NaN to NOT self_employed\n","#Replace \"NaN\" string from defaultString\n","train_df['self_employed'] = train_df['self_employed'].replace([defaultString], 'No')\n","print(train_df['self_employed'].unique())"]},{"cell_type":"code","execution_count":97,"metadata":{"_cell_guid":"d910581d-4b92-4919-ab5a-85b018158745","_uuid":"b934d97a22a46c36e107d2e0fdeb9f0ee74dc532","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["['Often' 'Rarely' 'Never' 'Sometimes' \"Don't know\"]\n"]}],"source":["#There are only 0.20% of self work_interfere so let's change NaN to \"Don't know\n","#Replace \"NaN\" string from defaultString\n","\n","train_df['work_interfere'] = train_df['work_interfere'].replace([defaultString], 'Don\\'t know' )\n","print(train_df['work_interfere'].unique())"]},{"cell_type":"markdown","metadata":{"_cell_guid":"b77019bf-b900-4c2b-9676-792860d89825","_uuid":"01bdb3e74278bd61fdbdda9b1f9a3085c873999b"},"source":["<a id='Encoding_data'></a>\n","## **3. Encoding data**"]},{"cell_type":"code","execution_count":98,"metadata":{"_cell_guid":"05a6455e-187d-4db2-bb71-4fbf2ba6d967","_uuid":"af23578fce1520cbe5fd970b13c7ddd71f442018","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["label_Age [18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 53, 54, 55, 56, 57, 58, 60, 61, 62, 65, 72]\n","label_Gender ['female', 'male', 'trans']\n","label_Country ['Australia', 'Austria', 'Belgium', 'Bosnia and Herzegovina', 'Brazil', 'Bulgaria', 'Canada', 'China', 'Colombia', 'Costa Rica', 'Croatia', 'Czech Republic', 'Denmark', 'Finland', 'France', 'Georgia', 'Germany', 'Greece', 'Hungary', 'India', 'Ireland', 'Israel', 'Italy', 'Japan', 'Latvia', 'Mexico', 'Moldova', 'Netherlands', 'New Zealand', 'Nigeria', 'Norway', 'Philippines', 'Poland', 'Portugal', 'Romania', 'Russia', 'Singapore', 'Slovenia', 'South Africa', 'Spain', 'Sweden', 'Switzerland', 'Thailand', 'United Kingdom', 'United States', 'Uruguay', 'Zimbabwe']\n","label_self_employed ['No', 'Yes']\n","label_family_history ['No', 'Yes']\n","label_treatment ['No', 'Yes']\n","label_work_interfere [\"Don't know\", 'Never', 'Often', 'Rarely', 'Sometimes']\n","label_no_employees ['1-5', '100-500', '26-100', '500-1000', '6-25', 'More than 1000']\n","label_remote_work ['No', 'Yes']\n","label_tech_company ['No', 'Yes']\n","label_benefits [\"Don't know\", 'No', 'Yes']\n","label_care_options ['No', 'Not sure', 'Yes']\n","label_wellness_program [\"Don't know\", 'No', 'Yes']\n","label_seek_help [\"Don't know\", 'No', 'Yes']\n","label_anonymity [\"Don't know\", 'No', 'Yes']\n","label_leave [\"Don't know\", 'Somewhat difficult', 'Somewhat easy', 'Very difficult', 'Very easy']\n","label_mental_health_consequence ['Maybe', 'No', 'Yes']\n","label_phys_health_consequence ['Maybe', 'No', 'Yes']\n","label_coworkers ['No', 'Some of them', 'Yes']\n","label_supervisor ['No', 'Some of them', 'Yes']\n","label_mental_health_interview ['Maybe', 'No', 'Yes']\n","label_phys_health_interview ['Maybe', 'No', 'Yes']\n","label_mental_vs_physical [\"Don't know\", 'No', 'Yes']\n","label_obs_consequence ['No', 'Yes']\n","label_age_range ['0-20', '21-30', '31-65', '66-100']\n"]},{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Age</th>\n","      <th>Gender</th>\n","      <th>self_employed</th>\n","      <th>family_history</th>\n","      <th>treatment</th>\n","      <th>work_interfere</th>\n","      <th>no_employees</th>\n","      <th>remote_work</th>\n","      <th>tech_company</th>\n","      <th>benefits</th>\n","      <th>...</th>\n","      <th>leave</th>\n","      <th>mental_health_consequence</th>\n","      <th>phys_health_consequence</th>\n","      <th>coworkers</th>\n","      <th>supervisor</th>\n","      <th>mental_health_interview</th>\n","      <th>phys_health_interview</th>\n","      <th>mental_vs_physical</th>\n","      <th>obs_consequence</th>\n","      <th>age_range</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>19</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>...</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>26</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>5</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>14</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>...</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>13</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>...</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>13</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>2</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5 rows × 24 columns</p>\n","</div>"],"text/plain":["   Age  Gender  self_employed  family_history  treatment  work_interfere  \\\n","0   19       0              0               0          1               2   \n","1   26       1              0               0          0               3   \n","2   14       1              0               0          0               3   \n","3   13       1              0               1          1               2   \n","4   13       1              0               0          0               1   \n","\n","   no_employees  remote_work  tech_company  benefits  ...  leave  \\\n","0             4            0             1         2  ...      2   \n","1             5            0             0         0  ...      0   \n","2             4            0             1         1  ...      1   \n","3             2            0             1         1  ...      1   \n","4             1            1             1         2  ...      0   \n","\n","   mental_health_consequence  phys_health_consequence  coworkers  supervisor  \\\n","0                          1                        1          1           2   \n","1                          0                        1          0           0   \n","2                          1                        1          2           2   \n","3                          2                        2          1           0   \n","4                          1                        1          1           2   \n","\n","   mental_health_interview  phys_health_interview  mental_vs_physical  \\\n","0                        1                      0                   2   \n","1                        1                      1                   0   \n","2                        2                      2                   1   \n","3                        0                      0                   1   \n","4                        2                      2                   0   \n","\n","   obs_consequence  age_range  \n","0                0          2  \n","1                0          2  \n","2                0          2  \n","3                1          2  \n","4                0          2  \n","\n","[5 rows x 24 columns]"]},"execution_count":98,"metadata":{},"output_type":"execute_result"}],"source":["#Encoding data\n","labelDict = {}\n","for feature in train_df:\n","    le = preprocessing.LabelEncoder()\n","    le.fit(train_df[feature])\n","    le_name_mapping = dict(zip(le.classes_, le.transform(le.classes_)))\n","    train_df[feature] = le.transform(train_df[feature])\n","    # Get labels\n","    labelKey = 'label_' + feature\n","    labelValue = [*le_name_mapping]\n","    labelDict[labelKey] =labelValue\n","    \n","for key, value in labelDict.items():     \n","    print(key, value)\n","\n","#Get rid of 'Country'\n","train_df = train_df.drop(['Country'], axis= 1)\n","train_df.head()\n","\n"]},{"cell_type":"markdown","metadata":{"_cell_guid":"38b322d1-4aa6-468d-b370-cc93d43272c2","_uuid":"f1cc9baff7c37cdad9014bccd875f0328b9c0d9b"},"source":["### Testing there aren't any missing data"]},{"cell_type":"code","execution_count":159,"metadata":{"_cell_guid":"0031aa27-9d12-4cae-b59a-9897371789c0","_uuid":"0958b0da3e0f1e2aa54914da431f47a773b8dec0","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["                           Total  Percent\n","Age                            0      0.0\n","Gender                         0      0.0\n","obs_consequence                0      0.0\n","mental_vs_physical             0      0.0\n","phys_health_interview          0      0.0\n","mental_health_interview        0      0.0\n","supervisor                     0      0.0\n","coworkers                      0      0.0\n","phys_health_consequence        0      0.0\n","mental_health_consequence      0      0.0\n","leave                          0      0.0\n","anonymity                      0      0.0\n","seek_help                      0      0.0\n","wellness_program               0      0.0\n","care_options                   0      0.0\n","benefits                       0      0.0\n","tech_company                   0      0.0\n","remote_work                    0      0.0\n","no_employees                   0      0.0\n","work_interfere                 0      0.0\n","treatment                      0      0.0\n","family_history                 0      0.0\n","self_employed                  0      0.0\n","age_range                      0      0.0\n"]}],"source":["#missing data\n","total = train_df.isnull().sum().sort_values(ascending=False)\n","percent = (train_df.isnull().sum()/train_df.isnull().count()).sort_values(ascending=False)\n","missing_data = pd.concat([total, percent], axis=1, keys=['Total', 'Percent'])\n","missing_data.head(20)\n","print(missing_data)\n","train_df.to_csv('preprocessed_datasets/2014/train_clean.csv', index=False)"]},{"cell_type":"markdown","metadata":{"_cell_guid":"245bfde3-4bf8-4f4f-8cc6-9e1d95b632a7","_uuid":"d9c414ad9ba5ed0ceb519beb410bccd8c12a117e"},"source":["Features Scaling\n","We're going to scale age, because is extremely different from the othere ones."]},{"cell_type":"markdown","metadata":{"_cell_guid":"b56ba09c-796d-4515-95fc-b36611cdb266","_uuid":"75911eb1235de12aa6277ec8751d336f60ba9eb8"},"source":["<a id='Covariance_Matrix'></a>\n","## **4. Covariance Matrix. Variability comparison between categories of variables** "]},{"cell_type":"code","execution_count":100,"metadata":{"_cell_guid":"fa764109-e028-4ca6-a167-281f8dcf1056","_uuid":"db911626ce6498bac062d8dc7e01bfe670427fb4","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1200x900 with 2 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bk5AJ8+fWLVqlUArF27Fj09PQD+/vtv/Pz8CA0NJU+ePFy6dIn169fTrVs3hgwZot6Xm5sbLVq0YOzYsRw+fBgjIyNAVdD+9ttvDB06VN3WzMyMOXPm4O/vT/Pmzalbty7+/v5cvHgRJycncubMmSY/g3+qUdWeRk51MDQ0YPDYqcm2exAUQomihTWWFbUpROCDIAAeBj2mW4cvPUxGhoZYF8zPvQePqGKf8vtnG1rbEP8hjPi3b9TL4h6HYJA7D3oWlijDv8yjaViiJDFXL5Fp6BiM7OyJDwsjYtdWovbvASDc+0+NfRtVsEPP3ILYh/dTnAcga4n8RL77iCL0vXrZu/vPyFQgB8ZW5kR/UHxprFQSGxFFgVplabBuCHp6cHb8BhQvVdteX+pHvaX96HxzMfGxcUS+/cieNn/olAcgf4mCfHr3kfcv36mXPb//lBwFcmJuZY7iH5mOrj+osW2m7FbYVinNpkmr1cvcJv7OtaOXuHXmOk37JN17+S0FShTiY6JMz+4/IWeBXFqZ/Ncd0NjWKntmSlUpzfqJqt+1FSMWa6wv7VAO80zmhNwO0ilT4RI2hL37wJvQL6+n4MAQ8hTIjaWVBZ8+hGu0n9x3Cq9evMa5jfaQjJIVbTExNWHJvgXkLZiHkPuPWTJlGTcv3tYxU2HC3oXxWiNTMHkL5Eky0/i+f/DqxWsaJpEJYNAf/Tjjf44Lpy7RpV/qvsUpZluE92/f8zL0tXrZw8BH5C+Yl0xWlnz88OX3rljJIgTeeaix/cPAIGzLFAfAQF+fCMWXcf9KpRKUSooUt+bU0bMpzlTctijvEmV6cC/pTMVtixB4R/O6iAf3gihZpsTnTAYoEmVSKpUUKWbDySP/NlNQ0ufJtij3vpEp8XlKTSbx/UgPrUi16tWrazw/e/YsYWFh1K9fnw8fPvD27Vvevn3Lu3fvaNiwIUqlEn9/fwA6d+7MmTNnNIrZ+Ph44uJUV1sqFApSonbt2upiFqBoUVWPkLOzs7qYBShUqBCguk80wP79qp7K+vXrq3O+ffuW6OhoHB0defHiBTdv3tQ4VpMmml8Ply2rGiP4+vVr/is5smfD0DDp8V//pFBEYGZqorHM1MQExecL1sIVCswSjSVUrdft61g9M3OUiaYoU0ZFfl5nprFcP5MVpk1bEnn0EG9/a8En75lYdO+lHnLwT4YlS5NpxHgUG1YTH/q3TpmMLc2IUURpLEvocTWySHr85PO/7rK8SGf2tZ9G5cGtKNpENY5W38CAIL8LrKvUh9VlehJ88BL1V/bHwMRIp0xmFmZEKTTPU3SEKqOJefJjOjPnzMKg1aMIvvmIc76nAHBoXou8xQqw/U/tXkldmFpqZ4r6fJ5Mzc2S2kSdaeia0QTdeMgZ35Na64vZlaDfwsFsn+PDqycvdcpkZmlOpELzosqEIQJmFtqZXr1I/ncvOjKaO1fuMrLbWFpVac+ZQ2eZuWEaeQvm0SmTuaUZEYnOU+Tnn52umeq3qItNcWuWzlipU4bELCwtUCTKFPH5PJlbmCfRVvOcRigi1e0O7TtKT6+uFLTJj7GJMf2GuWNiaoJpovePb2cy1zpPyWcy184UEYn55/N5cO9RevX/kslreC9MTU0wNfv3mRJeTxZJZIpI4rX3JdMRevXvRiGbAv8qU5qSIQcapIdWpFr27Nk1nieMUZ06dSpTpybde/js2TP1v/X19VmyZAnXrl3jyZMnPHnyRD1DQHwKf8ES7gmdIGGwf+LlCb3FCfsNCQkBoE0b7a/DEjx//hw7uy8XJSX+/xobG+uU9b9kZmpKRJRmURcZFYX550LFzNSUiMjk16eUMioSPRPNN3Q9E1WBpkz0R4kyJpqYv04Tc+EvAGJvXifqyCFMfq5N9OkvQzxM6jfCsqcn4etWEblzi055AGIUURgm+pAxNFP9rGI+JT0DRXy06mvpZ2ducX/7GYo1dyBo/0XqLunDfrcZKP5W9WKeGb2WzreXUODnsoT4X0lxpqiISIwTZUp4Hhme9B8RRe2K47FgEIEX7rB88Hzi4+LJUyQfrYd2ZHLrUcTH/bvXXZQiEpNEmUw+n6eI8KTPU0KxevfCbZYM8tbK8Gu7uriN6cq2WZvxW75b50yRighMEv+h9fm5IpmfXXIWTNDsNd68ZCsN2jpT3bEqO1Zrj+lPPlOk1oVkCUWMLpkKFS1I7xE9cHfpS9y//NlFKCK0/iBNeB7+SbPHOCI8ibbmpup208bOYdDoPqz3XUpsbBzbNvgSeOchYWG6TT2oSyaFIjLJtuGfVO8ZU8fOZvCYvmzcvYzY2Di2rt+lyvRetzvMRST5s1M9//RJkahtRJJtEzJN+Zxpw+5lxKkzPeDD+3ScovF/ZKhAWpGCVqRa4itFE8anDhw4UN17mViuXKqLbe7evYurqyuxsbE4ODhQp04dbG1tsbe3p1atWinOkDAkILF/9s4mJaEIXbZsmbrYTaxYsWIaz5O7wONHVKyINXcCE33NGPyYMrbFP6+34WFQCL/WUPVExsTGEvLkGcWLWOt0nNjgR+hnzoJelqwo36uKPoNC1sS9eolSofkhFvc4BD0jY80d6OtDws9KXx8Lj/6Y1KjFhwmjiLmauttGvr33BLNsmTDLYUXEa9UHYNbi+fn0/A3RHzULkGqjVReH/DXxy3hHAxNDot6HY2hhgmkWSwyMv7zG4uPiUcYridNxXObTe0/IlM0KqxyZ+fA6DIB8xQvw5vlrIj5qfxvxc+s6uI7vxo5ZmzmwfI96eeUG1bHIbMEEv5mqrJ+vtF94fS1rRy3lr92ndcj0WCtT/uIFk830SxtHOo3vzrZZm/Bbplms6unr03VSDyo7V2PW71O5eUa3sdgJgu4FkyVbZrLmyMq716rXk00Ja14+f0n4x/BvbK2p+9CunNh7kvu3vnyNbGRsRJSOY6Af3gtKIpMNoTpmqt2oFpkyW7Lm4DJAdfEYwKHbe5g5Yg6Hdh1J8b7u33lI1uxZyJ4zG29evQWgaIkivHgWyqdEme7ffUjp8iU1lhUtUZibV+8AkDtPLhbNXsnE4TMAsMqciZ79OqvXp1TgXe1MxWyL8OLZ30lmKlNec2x8MdvC3PhHpoWzVjBh2HR1JnevLqnI9IBsWpkKf870KVHbh5RJdJ6K2Wqep6Qy3biq2xAW8f1knE9o8cPLnz8/ABYWFjg4OGg8ChcuzKdPn9TDA6ZOnYpCocDX15cFCxbQv39/GjZs+J9nzZs3r1bWTJkyERMTg5mZbr2VP5Imzo5cuHydA0dOEhsbx4EjJ7lw+TpNnOsA4NLIiY3bdnP3/iOioqKZs2gV2bNlxb6ibvfzjn/+jJib17Hs2Qc9MzP0c+fBvL0bUQe1L1aK9PPFuHpNTGqrLs4yLFsek9r1iDqiGjNq0cMT40pVed+3R6qLWYAPQaG8CLiHwzhXjCxMyVQwJz/1a87dzSe02r4IuEtp1zrkrWoLenpY17WjaNNq3Nl4jOgwBS8C7lF1RDtMs1thYGJEtZHtiHz7kb/PB+qUKTT4BffO36bDmK6YWpiSo0AumvVpzckt2kVMJedqdJrUg3nuMzSKWYA9C7bTo3QHepd3o3d5N2Z3mwJA7/JuOhWzAH8Hv+Du+du4jemGqYUpOQvmwqVvG477+Gu1rdygGl0n9WROz2laxSyA65guVPj1J0Y1GZzqYhbgadAzrgXcoM/43phZmJG3YB7c+nVk36b9Ou+riK0NfSd4kC1nVoyMjejk5YpFJnNOHtDtPD0NesbVgOt4jffA/HOmLv1c2bNJtxu9rJm3gTrFG+JUuglOpZswqJNq9hin0k10KmYBQoKecPGvK4yYOAALC3PyF8pHrwHd2L5Ru+fZd6sfVRx+wrlpXQwMDHBuWpcqDj+xe6sqfyf39kyZNxZzCzOsMmdi7LSh3Lp+l5s6Fmohj1SZRk4aiIWFOQUK5aP3gO5s26D9evHdso8qDvY0aKbK1KBZXao42OO7RZWps/tvTPX+kmnc9GHcun5X5+Ix5NETLvx1hVH/yOQxoDtbNyRxnrb4UdXBngbN6n3OVI+qDvbs2qJ6L+vi3oFp3uPUmcZPH8bNVGRKU3JjBQ1S0IpvSuiZ/NZX6zVr1sTc3JyVK1eqr/wHVc/tlClT6NOnDw8fqnoN3717h6WlJXnz5tXYx8qVqrFlCWNp4UtPcFp+tV+/vuqCDW9vb42ZDz5+/IiXlxf9+vXTyJBSKT1X30Plui7sPXgUgCLWBZk3dQzL1vrg4Nyaxas2MnvySGwKFQCgRWMnXNu64DViIj83asedwIcsnDEeo2R6q7/mw+QxYGBA1lWbyTJnMdGXzqPYtBaA7Dv2Y1K7LgAx167wYfwITJu3Itt2PzINGIZi+UKiA86iZ5UZ08bN0c+ajayLV5N9x371I2F7XRzuORc9Q33an5uNy55xPDl+nctzVFOqdb23nGIuDgCEHLrMmdFrqTWjO51vLeEnLxcO/T6X0Ev31fsJe/SC1of/oOPFeWQpnh+/DtOJjYhK9tjJmd97JvoG+sw8tYixu6Zy48QVfOdtA2DJrfVUb6aa87J5vzYYGOrTZ9Egltxar350mtxD52N+y5xe0zEwNGDu6SVM2DWdaycus2PeVgBW3t5Ijeaqb0ta9muLgaE+XouHsPL2RvWj62R3MmXNhJNbA7LkzML0w3M11idsr4sxPcZjYGiAz18bWLx3PuePX2DNnPUAHAjcSz0XxxTtZ8qAGTwLec7Kw8vYc3Mndg4V6N9uCB9T8RXxiB7jMDQ0YPtfm1i+dyEBx8+zao5q3tsjgX44uej+Gv23+nUbhoGhAf4XfdmyfxWnj51j4Z8rALgUdILGLVXzBAc9CMGz82B6enXh/P0j9B7Ynb5dhxL86DEAMyfMJ+xdGEcv7eZQwA7ilUo83AalKlOfrkMxMDTg6KXdbD2wmlNHz7Lgz+UAXAk+SZPPmR49CKF3p0G4e3XhwoOjeAz8nT7/yDRjgjdh7z5w7PIeDp/fSXx8PL1cB6Yy0xAMDA05emkP2w6s4eTRc+pMV4NP0bRlg8+ZgunVaRC9vLpw8cExPAd2x7PrkH9kmkfYuw8cv7wX//O7iI9X0st1QKoypRmZh1aDnjI1E0+K/1dOnz5Nt27dqFGjBg0aqH75R40axaxZs2jUqJFG261btzJ69Gjy5ctHq1atyJo1K/7+/pw+fZr69eszd+5c9PT0mDNnDosWLaJ69eo4OzsTFRWFv78/Fy5cwNDQEFtbW7ZvV01rExQUhLOzM2XKlKF9+/Y4OTlx9+5d3NzcGDhwID16fPmg37FjB8OHD9fK5u3tzfz58/Hx8aFixYoADBkyBF9fX+zt7XFyckKpVLJlyxYePXrEqFGj1PPIDhs2jJ07d3L69GmNmQsCAgK0MsyaNYslS5bQsWNHHBwccHRM2YdvYjGvH6Vqu+8lzPXfzXf6PWy/kbobHHxPZw1/vLvExfyAH1ZPY3UbC/lfiOHHO0/vYj59u9F/LP4HLBmU/HiZAO6/Sv03TSkRdSf1N+ZIzKRU7TTbV3qRMbTim6pVq0aTJk3w9/fnypUr6hstJKV169bkzZuXFStWsGLFCuLi4ihYsCBDhw6lY8eO6rGtHh4e6Ovrs3v3biZPnkyWLFkoUaIEa9euZePGjRw+fJg3b96QPXt2ChcuTJcuXdi2bRuTJ0+mQIECaTKederUqVSoUIFt27Yxa9YsTE1NKVasGPPnz6dePe05S1Oiffv2nD9/Hh8fH06fPp3qglYIIYT4qh/wguT0JD20QvyApIf226SHNmWkhzZlpIc2ZaSHNuW+ew/tzcNpti+TsqnrxPmRSA+tEEIIIURGIz20GuSiMCGEEEIIkaFJD60QQgghRAajVP5vTLeVVqSgFUIIIYTIaH7A8fHpSYYcCCGEEEKIDE16aIUQQgghMhq5KEyDFLRCCCGEEBmNDDnQIEMOhBBCCCFEhiY9tEIIIYQQGU28zHLwT1LQCiGEEEJkNDLkQIMMORBCCCGEEBma9NAKIYQQQmQ0MsuBBilohfgBhbl2Se8IGjKvW5XeEbS8tB+d3hG0PI79kN4RtITHR6d3hAzheeSb9I6gJZOheXpH0KKvl94JtMUr0ztBOpEhBxqkoBVCCCGEyGikh1aDjKEVQgghhBAZmvTQCiGEEEJkNNJDq0EKWiGEEEKIDEaplPkxLV8AACAASURBVHlo/0mGHAghhBBCiAxNemiFEEIIITIaGXKgQQpaIYQQQoiMRqbt0iBDDoQQQgghRIYmPbRCCCGEEBmNDDnQIAWtEEIIIURGI0MONMiQg//HbG1t6datW5rtz9XVlXLlyqV6+7CwMN69e5dmeRJcvHiR5s2bU65cOapVq0ZoaGiaH0MIIYQQ6Ud6aEWacXd3T3VBevLkSQYPHsySJUvImjVrmmWKj4/Hy8uL8PBwvLy8sLCwIFeuXGm2fyGEECJdyJADDdJDK9JMjRo1aNy4caq2vXbtGu/fv0/jRPD69WtevXpFnTp16NatG+3atUNPTy/Nj/Nf0cuchUyjJ5Ft616ybfbFoqcn6Bsk2dawXAUyz15E9h37ybp2K2ZtOnxZaWSMRU9Psq7bSrZt+8g8exFG5e3+Vba3797ToE1Xzl++nmybk2fP4+Lai8qOzWnyWw+OnwnQWL9yw1Ycm3eksmNzOnsOISjkaaqymGe3os3S/gy+vpSBVxbjNKYjegZJvN3p6VHLqwV9z81j6O0V9Dw4ldKNqqpXG5gY4TSmI/3+8mbwjWV03TUe6+qlU5UpS/YsTFw+jj23drLr+jY8xvVCP6lM/1CrYU02nFmrtbypa2PWn16N373drPBfSjXHqkls/W1Zs2dhxspJHLmzl0M3fek/3hMDg6RfTwlqN6zFznObNJZlymzJeO+RHLrpy9F7fizwmUXxMsXSNdM/NfutEeefn0hVHoDsObKxfN1cbgWd5fr9U4z7Y2iymerU/Rn/0zsIfHKeY3/txtHpF431rl3acvqiH/cen8f/9A6t9SmVLUdWvNfMIOD+Ec7eOcTwif2/eZ7qNa7NoQs7tZZ383Tl2NU9XAo6wZqdi7ApWijVmeavmcH5+0c5d+cwwycOSDZTLUcHdh/fxOWgk+w7vYVf69VUrzMyNmLgaE+OX91LQOARvFdPJ0++3KnOtHDNTC4+OEbAXX9GTEo+0y91a7DnxGauBp9i/5mtWpkGje7DyWv7uHD/KAtWz0h1pjSjjE+7x/8AKWjF/7To6GgALCws0jlJ2sg0fBzKyAjedmzJey93jCraY+bSWqudQYFCZJ4wjch9u3jTogEfxgzFrEUbjGuqPjwtuvbAsHQ5wvr35m2bJkQe3IfV+Cno50xd7/Xl67fo0HMAT569SLZNyJNn9B85Gc/fXTl3cDse3ToyaPQUQl+9BsDX7zAbtvqyZNZkTvttoYxtcfqPnIRSqdQ5T8sFfYhWRDK7iicrmo6mcM2yVOveQKtd5U71KN/yZ9a1ncS00t04Os0HF29PshZSnQfHoW0pWKkEq1zGMrNCD65sPk67lQOxypdd50xjFo0kQhFBK/t29GrsiX1NO1r/3jLJtgaGBrTr1YbRC0air6/5B1j9VvXo1N+VSZ5TaGjblA3emxi/dAzZc+ueafLicSjCI2j4U0s6N3Snys/2tO+h/XpKyOTauz2TF41FL1GmkTOHYJHJghYOHahXpgm3rt5h5qrJOudJy0wJipSwwWucZ6qyJFi0YiaK8AjsS9ehcd321PylGr/3dtNqV7hIIZaumc2MP+ZTyqY6f05dwOKVM8mTV/V6atWuKf2H9MKzxxBsC1XBe9Yylq6ZTe48OXXONGvpZBThCn4p35A2zp2pXqsKndzbJ9nW0NCAbp6u/LlkMvqJ/qBv1rYRHbu34fe2/ahesh63rt9l3sppOucBmL30DxThEdQq34DWX8lkXbgg81ZOY+60xVQuVhvv6UuZvWwKuT6fh4GjPHBqXIfubftSs0x9Qh49YeXW+RgZ6f6l8pxlUwgPV1CznDOt6nfCoVZVOrv/pp2pSEG8V05j7tRF2Bf9lXnTlzB3+VT1z2bQKE/qN6lD1zZ9cCjtRPCjJ6zetiBVmdJMfHzaPf4HSEGbzlq1akXVqlWJ/8cL6vXr19ja2lKrVi2Ntk+ePMHW1pZFixYBcPjwYdq3b4+dnR0VK1akXbt2HD58WGObHTt2YGtri5+fH02bNqVs2bK0a9cuySwRERG4urpSqlQpdu7U/iv+WxKPofX29sbW1paQkBCGDh1K1apVKV++PG3btuXUqVMa282fPx+Atm3bUqdOHfU6hULB7NmzcXJyomzZstSsWZMRI0ZojYOtU6cOffv2ZdasWdjZ2VG5cmXs7OxwdHQEwMfHB1tbW7y9vdXb+Pv789tvv2FnZ4ednR0dOnTgxAnNXpyE/8OJEyeoV68e5cqVw8vLS6d9pBX9vPkxrmCHYsViiIoi/u8XKDatxbSJi1Zb0yYuRJ07TZT/QQDigh/xfqAHMbduqBoYm6BYt5L4168gPp6oA3tRxsRgWNxW51y+focZOm46fXt0+nq7/f78VKEMjrUcMDQ0wNmxFpXsyrHVdz8A2/YcoK1LY4oVscbExBivXl14EfqSC1/p8U1KVuvc2FQvjf8fm4iNjOb9k1ecmreLSm5OWm0vrDnMEqdhvHv8EgNjQ8yzZyJGEUVMpOoPIUNTY47P2s6HF29Rxiu5svkYcdGx5C1XWKdM+WzyYedQkSWTlxMVGcWLx3+zbu4GmndulmT7GRunUtGhAhsXbNZa18a9NStnrubu1XsAHPU9hmezfoR/DNcpUwGb/FSqYYf3pMVERUTx/PELVsxZS+su2q8nAO9Nf2LvYMea+Ru01o3sNZ4RPcfx6cMnzC3MyGSVifdvdP/GJS0zAZiYmTBp0Vh8lm/TOUsCm8IFcfi5CpPH/UlkRCSPQ54yd+YSOnfXLtRatWtGwF+XOeh3lLi4OPbuOshfZy/SoZOqIHf37MzMKd5cvXwTAN8d+2lWvwMfP37SKVOhwgWoWrMSM8d7ExkRxdOQ5yyatYIOXZMu/Jdv8aZKDXuWz1ujta51x2ZsWrWdB/ceER0VzayJ88lbIDdVatinMtO8z5mefc7URqtt87aNuBRwlSP7TxAXF8eB3f5cOHeZtm6qn3OjFs4s/HM5D+49IiYmllmTFpA7Xy6q/VxF50zValZixudMT0KesXDWcjp2087k0rYxF/+6iv/nTPt9/blw7pI6U+OW9Vkw80umPyfNJ3e+XFSvpVsm8f1IQZvO6tSpw/v377l586Z62dmzZwEIDQ0lKChIvfz48eMAODo6snjxYjw9PQkPD6d37954eHgQHh6Op6cnS5Ys0TrOyJEjqVixIiNGjMDFRfvDISoqil69enHp0iWmT5+eZJvU6tKlC3///Td9+/bF3d2dR48e0bNnTx4/fgyoxt7Wq1cPgD59+jBixAgAIiMjcXNzY8WKFVSvXp1Ro0bRtGlT9u/fT8uWLXnxQrM38NSpU/j5+TFo0CDatGnDsmXLGD58OADVqlVj+vTp6uOsWLECDw8P9PT08PLyonfv3oSHh9OzZ0+2bt2q9X8YOHAg9evXZ/DgwTg7O6dqH/+WobUN8R/CiH/7Rr0s7nEIBrnzoGdhqdm2REniQ/8m09AxZNvsS5YlazEqb4fy3VsAwr3/JObil6/7jSrYoWduQezD+zrnqlHVnv1bVtKg7te/On0QFEKJopqFYFGbQgQ+UL3GHwY9pkRRmy+ZDA2xLpifew8e6ZQnZ4kCKN595NPLLwXV6/vPyFIgByZW5pqNlUpiIqIo8nM5ht1dRZPpv3P8z63qbf1GrOTh8Wvq5jYOpTHJZE7o7RCdMhUuYU3Yuw+8Cf3yswu+H0KeArmxsNL+9uCPftMY5jqS5yGar3ETUxNsSlgTHxfPnG1/suvGdrx3zcHU3JRIRaROmYrY2hD2NozX/8gUFBhC3gJ5sLSy1Go/ru9kvDoO4WnIc611cbFxREdF02todw7f2kN9F0dmjZ2vU560zgQw5I/+nPY/y/lTl3TOkqBEyWK8e/ue0L9fqZfdv/uQAgXzYWWVSaOtbcli3L0dqLEs8N5DSpUpgamZKSVKFiMuLp5te1dz48Fpdh1Yj7m5GYrwCJ0yFbMtwvu3YbwKfa1e9iAwiHwF85IpifM01GMcPdt78ThYewhPMdsiBN55oH4eGxtHyKMnlCxTPBWZ3vPyH5keBj4ifxKZipUsQuCdhxrLHgYGYfv5mAb6+kQovpwTpVIJSiVFilvrlKm4bVHeJcr04F7SmYonOg+qtkGULFPicyYDFIkyKZVKihSz0SlTmpIeWg1yUVg6q1OnDnPnzuXMmTOUL18eUBW0efPm5cWLFwQEBFC4sKoIOH78OAULFsTExIR58+ZRrlw5Nm7ciLGxMQBubm60b9+euXPnUr9+fWxsbNTHqVy5MhMmTEgyQ3R0NL179+bixYvMmjVLXbCllbJlyzJv3jz18wIFCjB48GD27NmDh4cHNWrU4PLlyxw+fJiaNWtSsWJFAFatWsWNGzdYunQpv/zypVhq2rQprVq1YsaMGcyaNUu9XKFQsGbNGvV5BMiTJw9TpkzB2tqaZs1UvWHPnj1T/z/nzp2rbtu5c2c6d+7MH3/8Qd26dTUuTmvSpAmDBg1SP0/NPv4tPTNzlJGaRYsyKvLzOjOU4V96efQzWWHatCUfp47n44zJGJYug9X4qSg/fiD6tGYPsmHJ0mQaMR7FhtXEh/6tc64c2bOlqJ1CEYGZqYnGMlMTExQRqg+JcIUCMzPTJNbrVqiZWJoSo4jSWBYToXpubG5K1AeF1jYhAXf4o3gnrKuVos3S/nx6FcbtvX9ptMlvV4yWC/tycs523j95pbWPrzGzNNcqOKM+ZzKzMCP8g2bv6usXr0lKpiyW6Ovr06Zna8a7T+Rp0DMad2jEtHV/0MXxd0KfpnwGD3MLcyISndvIz8/NLcz49EGz1/Dli2//n1fOXcvy2Wto3dmFuRum85tjV54/Tn4YyvfM5NyiHjbFCvHHoBlUqJL62VcsLS00ChlAndHC0pwPHz6ql1tYmmsUYgltLSzMyZLFCn19fXp6dsa9ywCCHobQoVNr1m1ZjGON5jx9knRRnhQLS3OtTF/OkzkfE52n0Bcvv7qviESvzYiIKMwtzJPZIrn9WKDQ2k/SmSySOqeKSPUxD+07Sk+vrty5GUjoi1f0HtANE1MTTBO9f3w7U1L/t+QyaZ/TiIhIzC3MADi49yi9+nflzs17hL54hcfA7piammBqplumNPU/MvY1rUgPbTorWbIk+fPn58yZM+plZ8+epXHjxuTNm5e//lJ9qCoUCs6fP4+joyP+/v7ExcXRo0cPdTELYGJigru7O3FxcRw6dEjjONWrV0/y+DExMfTp04fTp08zefLkNC9mQVUM/lPZsmUB1dCKr9m/fz85cuSgXLlyvH37Vv3IlSsXZcuW5ejRo8TGxqrbW1papmjasMOHDxMbG0uDBg009vvx40fq16+PQqHQ+HmA9vlLzT7+LWVUJHommm+eeiaqAlCp0CzSlDHRRP91mpgLf0F8HLE3rxN15BAmP9fWaGdSvxGZ//gTxeb1RGzSvvgoLZmZmhIRpVloRkZFYW5u9mV9ZPLrUypaEYVRog+ZhOfRyfSExUXHooyLJ/jMLW7sPE3ZZg4a6yu2+5WOG4Zzer4vp+bt0ikPQKQiUuuDz+Tz84hP2gV2cqKjYgDYumw7wYEhxMbEsmu1L6FPQ6lWR7evPpPKZPr5D4pwHTL9U1RkNDHRMWxcuoW/n73kl/o1v73Rd8hUqGhBPEb0YHTvCcTFxemUITGFIkLrD62E558SDfNQKCIwNTPTahv+SUFUlGoYy7KFawm8+5CYmFhWL9/E06fPqVPvZ50yRSgitf/4U58n3YaeJLUvMzOTVOwn+fOUeF8R4Um0NTdVt5s2dg5XL1xnve9S9p/dRlRUNIF3HhIW9hFd6JJJkeR5MFW/7qaOnc2VC9fZuHsZB89tJyoySpXp/QedMonvR3pofwC1a9fGx8eH8PBwXrx4QWhoqHq+1ISi6OzZs0RHR+Po6Iifnx8ARYsW1dpXsWKqK4ufPtX8ail79qQvGAkICEBfX/V3zcWLF9W9mGkp8bETivBvfdCEhIQQGRmZbDEO8O7dO3LmzKk+TkpmMAgODgagX79+ybZ5/lyztyTx/yE1+/i3YoMfoZ85C3pZsqJ8r5oezaCQNXGvXqJUaL45xz0OQc/IWHMH+vqQcH709bHw6I9JjVp8mDCKmKup/0o2pYoVseZOYKKvGYMfU8a2+Of1NjwMCuHXGqor9mNiYwl58oziRXT7mvHVvSeYZ8uERQ4rwl+rPmxyFM9P2PM3RH3ULGjrjlLN/OA/6csYTANjIyLeq3pu9PT1aDCpCyWdK7Pl91kEnbmlU5YEQfeCyZwtM1lzZOHda9VwBpvi1rx8/pLwjykv1D68+8DbV+8wNjbSWK5voK/z7B0P7z0iS7YsZMuRlbevVa+nwiWsCX3+UufxuMt3L2Djki0c3fel99/Y2IgPOn7Yp1Umx0a/YJUlE+sOLQdUF48BHLmzl+kj5nBwp3+K93Xvzn2yZc9KjpzZef1KNRSieMmiPH/2t9bY13t3HlCuQimNZSVsi3Lt6i3evX3Pq5dvtH52Bvq6/+zu33lI1uxZyJ4zG29eqYYRFStRmBfPQrWK7G/u6+5DipUswvHDpwHVBWTWRQpy/65uQ32SylS0RJEkM92/+5DS5UtqLCtaojA3r94BIHeeXCyavZKJw2cAYJU5Ez37dVavT6nAu0mcJ9sivHj2d5KZypTXvIagmG1hbvwj08JZK5gwbLo6k7tXF50zpan/kaECaUV6aH8AtWvXJiYmhoCAAM6cOYORkRH29vZUr16dN2/eEBgYyPHjx8mSJQv29vYaF5AllrDunz23QLLTlBgbG7NgwQJ+/fVXtmzZkua9ioC6YNZVfHw8xYoVY9WqVck+rKysdD5OwjmaOnVqsvtt0EDzivjE5y81+/i34p8/I+bmdSx79kHPzAz93Hkwb+9G1MF9Wm0j/Xwxrl4Tk9qqMcOGZctjUrseUUdUF4lZ9PDEuFJV3vft8Z8UswBNnB25cPk6B46cJDY2jgNHTnLh8nWaOKsuAnRp5MTGbbu5e/8RUVHRzFm0iuzZsmJfUbevi98Gh/L4/F2cxrhibGFKloI5+blvc676HNdq+zjgLvYd6lCoSknQ06O4ox1lmlTjyuZjADiNcaXYrxVY0WR0qotZgGdBz7gecAOPcb0xszAjT8E8uPbrgN/mAzrva8/6vbh6daRo6aLoG+jTomtzcuTJwemDuv3uPgl6xtWA6/Sf0AdzCzPyFcxDNy83dm/Sfj19y63Lt+kxqAt58ufGyNiI3wd1wcjYiJOH0ifTqnnr+aWYM46lGuNYqjED3FRj6R1LNdapmAUIevSYgHOXGPfHUCwszSlYKD/9BvVk8/odWm23b9lD9RqVady8PgYGBjRuXp/qNSqz3WcPAOtXb8FrcC9Kl7XFwMCArj06kCdvbg76HdUpU0jQEy7+dZXhE/tjbmFO/kL56DWgG9s37tZpPwA7Nu6hQ7fW2JYpjrGJMQNGe/Lm1VsunrucikxXGDFxABYamXy12vpu9aOKw084N62LgYEBzk3rUsXhJ3ZvVXXWdHJvz5R5YzG3MMMqcybGThvKret3uXn1tm6ZHqkyjZw0EAsLcwoUykfvAd3ZtkH7PPlu2UcVB3saNFNlatCsLlUc7PHdosrU2f03pnp/yTRu+jBuXb/LDR0zpSmZtkuDFLQ/gCpVqmBpacnZs2c5d+4cdnZ2mJmZqXsmz507x8mTJ6lduzYGBgYULFgQgIcPH2rt68ED1aD2fPnypfjYderUYdy4cVhYWDB69Gg+fdLtitvvJX/+/Lx//55q1arh4OCg8YiJiUFfX1+rcE+JAgUKAJA1a1at/ebOnZuIiAjMzb8+fiwt9pEaHyaPAQMDsq7aTJY5i4m+dB7F56EC2Xfsx6R2XQBirl3hw/gRmDZvRbbtfmQaMAzF8oVEB5xFzyozpo2bo581G1kXryb7jv3qR8L2aaVyXRf2HlR9WBexLsi8qWNYttYHB+fWLF61kdmTR2JTSHUuWzR2wrWtC14jJvJzo3bcCXzIwhnjMTLU/Yukbb3mom9oQJ/Tc+i6azwPT1zn1DzVzB1Db6+gbHPVkILAw5c4MHYtjad1Z/D1pdTq58LWnnN4euk+ZlktqeRWD8ucWXA/PI2ht1eoHwnb62JczwkYGBqw6dw6Fu6Zx/njF1k3R9Uz7HdvN3Vd6nxjDyprZq1j86ItjFk0kr23d1GvRV2GuY3k9d9vvr1xIsN+H4OhgQG7Ajazct9izh0/z4rZqtfT8fv7qe+SstfD/D+WcvZYACv2LGTf5W2UKlcCjzb9+Rim+3tJWmVKSz07D8DQ0IBzVw6y5/BGjh85w5wZiwG49/g8Lq0aAfDwfhDdXPvSp//v3Hp0Fq/B7vTo1J+gh6qLCGdNW8gi75UsWjGT20HnaNGmCW5te/H3V8a4Jser2zAMDA3xv7gLn/0rOXXsHIv+XAHAxaDjNG5ZP0X72b5xN2uWbMJ79XTO3jlIqbK2uP82gNhY3Ydq9Os2DANDA/wv+rJl/ypOHzvHws+ZLgWdoHFL1ZC2oAcheHYeTE+vLpy/f4TeA7vTt+tQgh+pLhSeOWE+Ye/COHppN4cCdhCvVOLhNijZ435Nn65DMTA04Oil3Ww9sJpTR8+y4E9Vz/2V4JM0+Zzp0YMQencahLtXFy48OIrHwN/p849MMyZ4E/buA8cu7+Hw+Z3Ex8fTy3VgqjKJ70NPmZpJHkWa69evH/fu3ePNmzd06tQJT0/VvIlOTqqphkJCQpg/fz716tUjKCiIhg0bUqZMGY2LwqKjo2nXrh137tzhwIEDWFtbs2PHDoYPH86sWbNo1KiRxjFtbW2pWbMmK1ao3nA2bNjAhAkTaNeuHePHj9f5/+Dq6srVq1e5cUM1NZS3tzfz58/Hx8dHfaEXqIZDODo60rZtW/WFagsWLGDevHls2rSJn376CYDZs2ezePFiRo0ahaurq3r727dv06pVK8qVK4ePjw+gurjO2NiYAwc0e7ySOtajR49o2LAhFStWZO3atRrnz9XVlWvXrrFv3z6KFi2a7P9Bl32kxusGqZts/XvJvG5VekfQMtV+dHpH0HI0TvfC5HsLj49O7wgZwvNI3f8g+N4yGab9H8X/lpIfr2SI/0HLmMBXF7/r/iN2Tk2zfZm5DEuzfaUXGUP7g6hdu7a6GPvnmNFq1arh4+ODiYkJNWrUAKBw4cJ4eHjg7e1Nq1ataNasGUqlEl9fXwIDA+nbty/W1rqNOwT47bff2LNnDz4+Pjg7O3917Gpay5EjBwDr16/n6dOnNG3alN9//50jR44wadIkrl69SqVKlXj58qW6iE+Y3ktXRYoUwd3dnUWLFtGyZUuaNm2KmZkZu3fv5tq1a3Tt2vWbhWha7EMIIYRItf+RoQJpRQraH8Svv/6KgYEBJiYmGtNOVa9eHR8fHxwcHDS+wvb09KRIkSKsWbMGb29vDAwMKF26NAsWLKBu3dR9Jaenp8fkyZNp1qwZo0aNYvfu3f/ZHbYaNWrE4cOH8ff359SpU9SrVw9LS0s2bdrEokWLOHToEAcPHiRLlixUqVKF3r17U6pUqW/vOBleXl4UL16cdevWsXDhQvT09LCxsWHy5Mm0bJn03Zu+xz6EEEII8e/JkAMhfkAy5ODbZMhBysiQg5SRIQcpI0MOUu67DznYNinN9mXWalSa7Su9SA+tEEIIIURGI9N2aZCCViTr7du3KZ6UPHPmzKmacUAIIYQQqfCD9kynFyloRbJatWrFs2fPUtR27dq1VK1a9TsnEkIIIYTQJgWtSNaMGTOISnSr0uSULFny242EEEIIkTZkyIEGKWhFsuzt7dM7ghBCCCGS8gMVtK9fv2b27NmcPHmSjx8/UrJkSfr06aOebvRrbty4wZw5c7hy5QqxsbGUKlWKXr168euvv+qUQe4UJoQQQgghUiU8PJwuXbqwd+9eXFxcGDx4MBEREXTv3p3Tp09/ddvbt2/TsWNHbt68Sbdu3Rg4cCCfPn3C3d0dPz8/nXJID60QQgghREbzg9xYYf369QQGBrJ48WJq164NQPPmzWnevDkTJ07kwIED6OnpJbnt4sWLiYyMZN26deo5+F1cXHB2dmbmzJk0bNgwxTmkh1YIIYQQIqOJj0+7x7/g6+uLtbW1upgFsLCwoE2bNgQHB3Pt2rVktw0ODiZr1qwaN5SysrLC3t6eZ8+e8eHDhxTnkIJWCCGEEELo7OPHjzx69EijIE1Qrlw5gK8WtEWKFCEsLIzXr19rLH/8+DHm5uZYWlqmOIsUtEIIIYQQGY1SmXaPVAoNDUWpVJI3b16tdbly5QL46vSf/fr1I0eOHPTr148bN24QHBzMxIkTuXv3Lu7u7ujrp7xMlTG0QgghhBAZTRrOcuDo6PjV9UeOHEly+cePHwEwMzPTWmdurrp1c0RERLL7tbGxwd3dnT/++INWrVqpl7u6utKzZ89v5v4nKWiF+AFtv1EwvSNoeGk/Or0jaBl2aWJ6R9DiU+a39I6gxVTfKL0jaInnx7vDkfIHvOvSq8j36R1Bi6nhj3dHyKi4mPSO8P9W/OeiOqmLvhJ+p5K7IAxg7Nix+Pj4YGdnR7t27TA2NubAgQOsW7eOqKgoJk5M+fu8FLRCCCGEEBlNGvbQJtcD+y0WFhYAREZGaq1L6JnNlClTktsGBQWxZcsWypUrx/r16zE0VJWkDRs2ZNy4cWzatAlHR8cUz0crY2iFEEIIITIaZXzaPVKpQIECgGosbWIvX74ESHJ8LcC9e/dQKpU0b95cXcwmaNeuHQDnzp1LcRbpoRVCCCGEyGCU8ek/TMbS0hIbGxtu3LihtS5hWVIzIAAYG6uGr8TFxWmtSxjKkNS65EgPrRBCCCGESJXGjRvz4MEDTp48qV4WHh7Oli1bKFq0qHr6rsQqVaqEubk5W7du1bpwbMOGDQDUrFkzxTmkh1YIIYQQIqNJNeY8FQAAIABJREFUwzG0/0aXLl3w9fWlX79+dO7cmZw5c7JlyxaeP3/OsmXL1BeFXblyhcePH1OjRg1y5MiBlZUVI0aMYPTo0bi4uNCqVStMTU05duwYp0+fpkGDBikePwtS0AohhBBCZDw/yK1vLS0t2bBhAzNmzGDDhg3ExMRQsmRJVqxYQbVq1dTtfHx82LlzJ2vXriVHjhwAtG7dmnz58rF06VIWLFhAbGwsNjY2DB8+HDc3N51y6Cl/xLlKhPh/bkmBjukdQcNLgx/vbeJHnLbLTqbtSpEfcdqu0Mh36R1By484HZVM25Vyr8Lufdf9Kxb1SbN9mffyTrN9pRfpoRVCCCGEyGh+gIvCfiRS0AohhBBCZDQ/yBjaH4XMciCEEEIIITI0KWh/UJs3b6ZOnTqULVuW1q1b/2fHHTZsGLa2trx69QqAHTt2YGtry759+77bMevUqYOzs/M32wUEBGBra8vSpUtTdZyQkJBUbSeEEEL8cOLj0+7xP0CGHPyAHj58yLhx47C2tmbUqFHqqwH/C23btqV69epYWVn9Z8dMqaJFizJ9+nRKly6t87Y9evQgPj6e5cuXf4dkQgghxH9MrunXID20P6A7d+6gVCrp2rUr7dq1o27duv/Zse3s7GjWrBkmJib/2TFTKkeOHDRr1ozixYvrvO2JEyf4X5jQwzS7FU7Lveh8awlu1xfhMK4jegZJ/Brr6WE/oAUdzs+l673ltPKfQpHGVdWrDUyN+HlKF1wvz6fzzSU03jycbKUKpiqTeXYr2iztz+DrSxl4ZTFOY5LPVMurBX3PzeP/2DvvsCiuLg6/sEgXFTA2EBUpdrFjjYqIFbGhIliiqGDvscfeC9jA3gNW1Ng1FlTUWGIFFJGq2BXp7ftjZXVZUJZg0Hz3fZ55Hvbec2d+e3aZPXPm3DsT7m9g0PH5VG73mSaNQthO682IAE/G3VlH/wO/YWKt/MXL57x+85Y23ftz9cbtHG3OX7qKg/MQ6rbsRIderpy9eEWuf+OO3bTs1Ju6LTvRd+h4QsMi86xH37AYKzYv4FLwSS7cP8aEWSORSCRfHGPTrjlHr+7Ntm/i7FHMXjE1z3qKGRRl8aa5/Bl4hFP3DjF65rCv6mnRrhkHAnzk2goX0WXmyqmcuneIs8HHWO27HPMqFfOsacmmuZwLPMrpe4cZO3N4rjQdDPCVa1PXUGfszOEcvb6Pc0HH2PKHN3UaWuVJk4GhPhu2e3D/yWXuPPLnt7kTc9TUolUTTl3cz8PIa5wNOIhN62Zy/S79HfG/fpTgiGucurhfoT+3GBrqs3XnakLC/yIo9Aqz50/KUZONbTPOXz5E2NNbXLp2FFu7n7O16+3SjZfvg/OkB6R+Wr9tBfdCL3H74QVmzJ2Qs59smnDKfx/BEVf5M+AgLW3l/eDczxH/v44QFH6VU/77FPpzi6GhPlt2rOJR2DUCHwcwe94X/NSqKecuHeRJ9E0uXj1Cq9Y/Z2vX26XrN1/BQKA8IqD9DklOTgaka7sJBJ9js2YoqfFJbK89jP3tp1GmcRWqD2yjYFelrw3mXRpzqNscNloM4Oo8H1quckfP5CcA6ozuTJEKJfFtMYGtVm68uh+O7bqRedLUZdUwkuMTWVZvKBs6TqV846o0GKCoqW6fVlTv0oRtjrNZUPkXzizwwcFzKMXKSjW1nOCIcR1zNjlMZ3ENV27+fpYeG8egV9ogT7pu3L6H06DRREQ9zdEmLCKKUZPnMHSgM5eP78X9l96MnTqPmBcvAfA7cpIdu/3wWjoH/yO+VLEwY9Tk2Xm+OFrsPZuEuARa1GhPzzb9adC0Li6DemRrq6YmoZ97bxZ5zUJVRf5UXaSYHvNXzaD3QMc86chkntdvxMclYGflQJ82rtRvUodert2ztZWoSXBx68XcNTNQVVWR65u6ZAK6utp0su5Jy8rtuHfrAUs2z8uTpvleM0mIS6C1VSdc2rhSr0kdnHLQpKYmoY9bL+at+U1B0/DJg6lRtxp9OwymeaW2HNh5iBXbFlKyTAmlNa3duIS4uHhqVWpOu5Y9aPxzAwa6Ka6RWb5CWby3LGfRHE8sTRqwZP4q1m5cQslS0u94tx72jBrvxtCB4zE3rovn0nV4b1lOiZLFlda0fvNy4uLiqGrRGNvmXWn2c0OGuPdVsKtgasKmbZ7Mm72CCka1WTDXg/WbV1CylLwfLCwrMnver0rr+Jw1GxYTH5dA7cotaG/Tk8bNvuSnZSyau5JK5aw/+mmxzE9de3Rk1PghDHUdj0XZeh/9tCxPflq3aTlxcfFUs2xC6xZdafqzNYOz81MFEzZu82T+nBWYGtdh4TxP1m9eLtOUiYVlRWbNnaS0jm+CKDmQQwS03xktWrTg11+lJ5XRo0djYWHBlStXiImJYebMmbRq1Ypq1apRs2ZN7O3t2bVrl9z4iRMnUr9+fUJCQhg0aBBWVlbUrVuX8ePHExsby507d3B2dqZmzZo0a9aMxYsXk5KSIjf+8xrarPTu3ZuqVavy9u1bhb5+/fphbW0ttz9luHTpEj169KB69eo0aNCAiRMn8urVK1l/djW0YWFhuLu706RJE6pWrUqLFi2YNWsWr1+/lhsD4O/vj4WFBfv27ZONP3nyJD179sTKyoqaNWvSo0cPTp48Kacrs474yJEjdOzYkapVq9KjR49v6ovs0CtXgjINKxMwZxepicnEhr/gxooDVOnbSsH23uZT7Lb5lfdhz1FVV0PLQI/U+CRSE6QXS0UrlkFFVRVQARUVMtLTSU1MVlpTMZMSlLOuzKm5Uk1vI15wweMAdVxsFWyvbTmJl+1E3oQ/R6KuhrZBYVLik0j5eFw1TXXOLt3L+6evyUjP4Obvf5KWnEqpauWV1uV35CQTZixkuGufL9sdPUWtGlVo2bQhamoS7Fo2pY5VNXb7HQVgz6FjODq0p2IFEzQ01Bk5pB9PY55z7QsZ35wwLmdEvUa1WTJzJYkJSUSGReO1dBM9+3fN1t7b14N6jWqzwXOrXLuWthaHL/ry/l0sJw6dUVpHJkblylCnUS08Zq0mKSGJqPCnrF+2he79O2drv+r3pdRuZMXmldsV+n4dPIOJg6bz4f0HtHW0KKyny5tXiv8XX8O4XBnqNqrF8lmrSUxIIio8mvXLNuPYv0sOmpZRp1GtbDVpaGqwZtEGYqKfk56ezv4dh0hOSqFSdQulNJUrX5aGTeoxZ/oSEhMSCQ+LZMWitfQbqLjmcLeenbh6+TrHj5whLS2NQweOc/nSXzj1kc6DGDSsL4vmenLrhvQZ9357j9DRthexsXFKaSpfoSyNmzbgt6mLSEhIJOxJBEsWruYXV8X1qx17ORBw+S+O/nGKtLQ0/PYf5dLFa/Tp9+liSEtLk3WbluG1dqvC+NxSrryx1E8zPvPTYi/6DuipYNu1hz1XAm7I/HT4wHECPvPT4KF9WTzPk1s37gLgt+8o9q2diI39oJQmqZ/q89u0TD9FsnTRan4Z6KRg+8lPp2V+unzxGi595f3kvXEp3v/AT/lKekb+bf8BRED7nTFp0iQcHaX/QE5OTixcuBBTU1O6devGH3/8Qfv27Zk2bRqurq68f/+eGTNmcOLECbl9JCYm0rt3b4oVKyYLcP38/HB3d6d///5YWFgwadIkypYty7p162TPTM4NDg4OpKSkcOzYMbn2mJgYAgICaN++PYUKKb+Qe3R0NG5ublSrVo3JkydjbW3N/v37GTp0aI5j3rx5g7OzM3fv3qV3795Mnz6dZs2asXPnTgYNGgR8qrsFsLCwYOHChdStWxeAtWvXMnToUOLi4nBzc8Pd3Z24uDiGDh2Kl5eXwvEmT55MzZo1mTRpEg4ODt/MFzlRzLwMiW9iiY/5FCi8eRhFYSND1PW05Y0zMkhNSMKoaVV+ebiRZosHcG3xHuKfS8fe9j5CMQsj+t5dyy/BGzDr3IhTg5VfWLu4uRHxb2L58PyTppcPoyhqZIhGNppSEpKo0KQaEwM30WHhQM4u2S0be2TSRkLO/i0zL9ewMhqFtYm5r/xkvkb1a3PUdyNtbL58m/JRaBjmpvIBs2m5sgQ/CgUgJDQcc9Nysr5CamqYGJch6NFjpTVVtCzP29fveBHzUtYWEhxKaeNSFNZTvBvzq/sMhvQaRcSTKLn25KRkOjXrxdxJS4iPS1AYl1tMLaR6XsZ8umh8HPyEUkYl0c1Gz7RhsxnhNI7IJ9EKfWmpaSQnJeM2cSCn7/+BnYMNS6Z5KK2pgpKapg6bxTCnsURm8RHAnPGLuHQmQPa6bqNa6OrpEHT3oVKazC1NefP6LTHPPl3kBweFYGRcGj29wgq2gffl9/8wMITKVS3Q1NLEwrIiaWlp7P1jC3dDLuJ3fDvaOlrEx8UrpcnS0ozXr9/w7NlzWVtQ4COMy5ZBr0hhBdsH9+TLCIIDH1GlqqXs9YIl0zlx7Czn/7yklI7PMbesqOCnh4HZ+8nCsiKB97NoCgqhUhVzNLU0MbesSFpaOnsOb+bOI38OHNuOtraW0t93i49+ipHzU0i2frKwrKjgp6Csflo8jZPHz3LubN79lK9kpOff9h9ABLTfGTY2NtSsWROA2rVrY29vz+HDh4mJiWHJkiWMGDGCbt264ebmxrp16wAUViBITEzE3t6e+fPn4+joyPLlyzEwMODKlSuMGTOGKVOm0L17d9asWUOhQoU4e/ZsrvXZ2dmhra3NoUOH5NoPHz5Meno6Dg4OeXrfSUlJzJ8/n8mTJ+Po6MiyZcuoU6cON27c4Pnz59mOCQgIICYmhokTJzJo0CC6devG9OnT6d+/P2lpaTx//lxWdwtQvHhx7O3tMTY2JiwsDA8PD6pVq8aePXsYOHAgAwcOZM+ePVSpUoUVK1bw5MkTuePVrVuXmTNn0qtXLxwdHb+ZL3JCXVeLlPgkubbMjGshHc1sx0QHBLK+Ql/+6LmAuuO6YtpBWrOqKpEQeuQa2+oMY3OVQTw5fp3WG0ch0VAuANfQ1VTQlJIgfa2unb2msCsPmGvWh+295/Pz2G5Ubt9AwaaMVUW6rB7O+eV7eRuR/d2CL2FooI+a2pfrLgHi4xPQ0pSvF9fU0CA+QfrDGRcfj5aWZjb9iUpr0tHRISFe/gc5MV66H20dLQX7mKfZv++0tDRevXit9PGzoq2rTWKW95H5Ojs9z3PQ8zkblm+hUXkb1i3djOfOxZQpW0opTTq62iTksyaAarWqsMB7Fl5LNhIdkXMJSnboFtYhPsvnlvDxc9PRlb9o09XNxjYhER0dbYoW1UNVVZXBQ/vx65iZWFn+zP49R9ju64WRcWnlNcVlPY70tY5OdprkA+b4hASZXTfHjphbmDJv9nKlNChoyuG9g6KfdHS1Ff4Xsvpp0NC+TBo7i1qVfubAnj/Y5rtWeT/pKuGn7D7nhESZ9q7dO2JmYcq82SuU0iD49xAB7Q9A3759uXjxIo0bN5a1paenk5aWBqBwsgJo27at7G81NTVMTEwAaNPmU22jrq4u+vr6OQaM2aGjo4OtrS3Xr18nOvpTpsbPzw9zc/M8rUCQqcXWVv42dWZgn1P5Q8mSJQFppvX06dPExUlv240bN459+/bx008/ZTsO4NQp6e03V1dX1NU/PcpRQ0ODwYMHk5aWppD5tra2lnv9rXyREynxSahpyQdfalpS7Skfss9cpCenkpGWTtTFezzce5GKnRqiqibBxmsYQb7niH/2hpS4RC5O3YpOyWIYNamqlKbk+CQKZdGU+To5h2xK2kdNTy7e485+f6raN5Trr9njZ3rv+BX/lX5c8DiglB5l0dLUJCFJPiBPTEpCW1vrU39izv3KkBCfgGbW4Phj0B/3QbkMXX4g1ZMlmNf6Z3qSEpNJSU5hh5cPz6Ke08yuiZKaEnPUFJ9HTZ16tWeN7zI2eGxl/bItSo+Pj0tQuKjR+vi5ffggXyoQH5+NrZYmHz7EkZQkvfj0Xr2F4MAQUlJS2LxuJ5ER0bS0baqUpri4BLSyfAe1tLRy0BQv68tEW0uLDx/iqFixPFNnjMW1/2jZ70leyem9A3yIVfSTplZW/ZrEfYiX+Wnd6q0f/ZTK5vW7iIyMpkUr5b5P8fHxufdTXILsc/1c04fYOEwrlmfqjDEM+mXMP/ZTviJKDuQQAe0PgqqqKl5eXri5udGhQwdq1apFx44dAWlwm5XixeWL59XU1ChUqBBFihRRaM9u/JdwcHAgIyODw4cPAxAYGEhQUNA/ykgaGBigqir/ddTUlJ5ccqpDtbKyYuDAgQQHB+Pm5kb9+vVxdnZm8+bNvHv37ovHi4iIAKQlCVmpWFE6OzsyUn42u4GB4uSkb+GLnHgdFIGWfmG0DD8tqVbMrAwfol+RHCsfPDaY2osGU+Vr/CQaaiS9jUNNRwPNorpI1D9lY9PT0slIzyAtJVUpTS+CItDWL4zOZ5oMzcrwLvoVSVk02UxxwmaKfO2aRL0QCW+ldXEqqiq0ndufFuMd8R24lCvrjyqlJS9UrGBCSGi4XFvIk3DMypf72F+OkNBPJQ8pqamERURhVsFE6WM9DHxMMYOiGBTXl7WZmpfnWVSMwg/+v0FIYChF9Yuib1hM1lbBvBzPomKIU1LPhoOradnuZ7k2dfVCvHvzXqn9PAp8TLEcNCnrI1VVVSYvHMewSYMY3W8SO7x8vj4oG4IePETfoBiGxT/9/5tbmBId9ZTY9x8UbM0rya/uYGZpStCDR7x5/ZYXz1+irqEu1y+RqIKK/IS2rxH4IBgDg2IU/0yThWVFoiIVNT24/xCLSvIrw5hbVuTBg2A6dGpNkaJ6/HnhACHhf7HDV1pqFRL+F126tVdKU3Z+MrM0JTrqmULta9CDR1hYyp97zS1MCQx8+NFPr1BXl79bJFFVRUVZP91/mI2fTLP1U+CDYCwt5f1kYVmRwAcP6fjRT2fO7+dR2DV2+qwF4FHYNTp3Vc5P+UlGenq+bf8FRED7AxAYGEjr1q1Zu3YtKioqtGjRgrlz53L+/Pkcx6ipKS4xrOzJICfq169PmTJlZLfaDx48iEQioUOHDnneZ9ZgNreMHTuWs2fPMmPGDJo3b05QUBDz5s2jTZs2CgHp53wpiM/s+zxzC2S71Mu38EVOvA+N4emVIBrOcKaQjiaFjYtTa0QnAn8/p2D79EoglZ1bUKq+BaioYGJjhWnHBjzY+SfJ7+J5eiWI+pN6oGmgh0SjEA0m9yDxdSzPriq3ZM/rJzGEXw3Edpoz6jqaFDUuTpPhnbjlc1bBNvxKILWdWlC2niWoqGDW0ooqHRpw8/c/AbCd5kzFn2uwocNUQi/ey5OPlKWDXUuu3bjNsdPnSU1N49jp81y7cZsOdi0AcGhny849Bwl8+JikpGSWr9mEgX4xatespvSxwkMjuB5wiwmzRqKto02ZsqUYNLof+3Ye+vrgb0BEaCQ3r/zNmJnD0dbRorRxKQaM6sPBXco/ROXezQe4jutPSaMSFFIvhOvY/hRSL8T5E/550jR25ojPNPXFLw+axvw2jIYtGtDbbgBXL/yl9PhMQh+Hc+XydX6bNxEdXW2My5ZhxLjB7Nq2T8F2j88hrBvVpUOn1tLzQKfWWDeqy16fgwBs2+TLqHGDqVLVEolEQn9XJ0qWKsHxP04rpelxSBiXL/3FnAWT0dXVoayJEWPGu7Fj2x4FW9/f/WjUuB72Dm2QSCTYO7ShUeN67P7dj2WL12JSqiamZetgWrYOTt0/zj0oW4e9uw/nyU8z5k745Kexg/h9u6Kf9vpK/dT+o5/ay/wk/V/YvtmXkeOGULmqhbyfjig3CfLx4zACLv3F7PmT0Pnop9HjcvLTQRpm8VPDxvXw/eincqWtqGhSl4omdenlOBiAiiZ12bdHOT8Jvh0ioP0BmD9/PvHx8fj5+bFq1SpGjRolV1Lwb6OiokKnTp0IDg4mLCyM48eP07hxY4Ws8Lfm5cuXXLp0CX19fXr27ImnpyeXL19mzJgxvHr1it27d+c41thYuuZqSEiIQt+jR48AKF366/Va/7YvTg5agYqaKj0vL8Ph0Awizt7mxvL9APQPWk9FB+nt+7ATN7g4dStNFw2g7z0vao104MTAFcRcfyjbz7vHT+l2ci69//KgqFkZjjgtJDUhKcdj58SeIStQVZMwzH85/Q/8Rsi521zwkGqacH8DVTtJNQWfvM6x6Vtpv2AA425703SEA7sHLSfy+kO0iulSx6UVusWLMvjkAibc3yDbMsfnF3VtHDh8XPrDWMHEGI/501i31YeGdt1Yu2kny+ZMplxZIwA6t7fF2dGBkZNm0aRdDx4Eh7B60W8UyuaCMTeMHiBdA/P4tX3sPLqBi2cCWLt0IwBXH5+hXZfW+fMmc8mEAVORqEk4eNWXzUe8uPTnFdlt+fOPjmPXWXEFjezwnLOWS2cC2HRoLUdv7qNSdQuGdBtJ7DvlZqUDjBswBYmahENXd7P1iDeX/rzCumWbAfB/dII2udBUVL8I3ft1xrC4PrvPbsP/0QnZlpvxWXHtMwo1iYSAWyc4fGoXZ0/5s3yRNEsXHHENh27tAAh5GMovvYczbLQr90MvM3L8EFz7jORxiDTLv3TBatZ4bGTNxsU8eBJAF8eOODsO5tnT3Jd9ZdLfWbpm8PU7Zzh+ZjdnTl1g8YJVADyJvknX7tKL6kcPH+PSy42RYwYTEn6NsRPc6ec8jJBHT5Q+5tcY1Hc0amoSLt88zqGTOzl7+qLMT0HhV3Ho+pmfnIczbNRA7j2+xMhxg3HtM4rQz/3kuZE1GxZzP/Qynbt3wMVxSN785DIcNTU1rt8+zbHTvpw5fYElC1cD8CTqBl26ffJTHyd3Ro4exKOwa4wZ70Z/52E8DnmSD575RoiSAzlUMv4Lq83/x9i3bx+//vorS5cupV27dtjb2/Ps2TP8/f3lZs3PmzePzZs3Y21tzebNmwHpslv79+/H399fLqhydnbm1q1b3LlzR+5YLVq0QF1dXTZTP+v4rFoyiYiIoFWrVtjb23PgwAGWLVuW5yA7q4ZMPD09WblyJT4+PtSsWZMrV67g4uLCmDFjcHV1ZcOGDSxcuBAPDw9at/4UCGTaubu7M3z4cAAqVaqEtbU1GzdKg4fQ0FDatm1LlSpV2Llzpywbm5ycTI8ePXjw4AHHjh3DxMQkRx98C19k4mWkuPxOQfJc8v2dJiZen1XQEhSwqqK4lFNBo6mafytt5BfpfH/fp5jENwUtQYGktPxb9i+/0FRT/7rRv8z36Cfgmz98IW52/v1O6ExRXPruR0M8+vYHoHnz5qxZs4aBAwdiZ2dHUlISp06d4tq1axQqVIjY2Nh/XZOxsTF16tThwIED6Onp0bJly39dg4ODA9u3b2fixIncunWLChUq8Pz5c3bt2oWenh6dO39aT9PAwIC7d++ya9cu6tSpg5mZGe7u7nh6etK1a1fs7e3JyMjAz8+P4OBghg8fLptI9zW+B18IBAKBQPD/jAhofwDc3d1RVVXl4MGDzJkzh6JFi2Jubs7WrVvZuXMnJ0+e5NWrV9lOWvqWdO7cmWvXrtGmTZsCeVSuvr4+W7duZfXq1Rw/fpznz5+jp6dHgwYNcHd3x8jISGY7fvx4Fi9ezJw5cxgyZAhmZmYMHTqUChUqsGXLFjw9PZFIJFSuXJlVq1Yp/bjhgvaFQCAQCP7P+I+UCuQXouRAkGcOHDjAhAkT8PX1pUaNGgUtp0DJb1+IkoOvI0oOcocoOcgdouQgd4iSg9zzzUsOZig+hS2v6MzY9XWj7xwxKUyQJ1JTU9m1axfm5ub/98Gs8IVAIBAIBAWLKDkQKEVoaCgeHh6EhIQQFBTEihWKT03J6UEI2aGvr5/tclg/ArnxhUAgEAgE3wRRciCHCGgFSqGnp8fVq1dJTU1l9OjR2NnZKdh8/kSzr3H69Gm5Wtcfidz4QiAQCASCb0LGf+OBCPmFCGgFSmFgYMDFixe/aLNp06Zc7+/fXrs2P8mNLwQCgUAg+CaIDK0cIqAV5DsNG+bvQvgCgUAgEAgEX0IEtAKBQCAQCAQ/GBlfeIT7/yMioBUIBAKBQCD40RAlB3KIZbsEAoFAIBAIBD80IkMrEAgEAoFA8KMhMrRyiIBWIBAIBAKB4EdDLNslhyg5EAgEAoFAIBD80IgMrUDwHXJJLaGgJcgRnvq+oCUo4FOlV0FLUODmvZ0FLUGBE1UmF7QEBYak3C1oCQqMLmxV0BIUmP06oKAlKNCgcIWClqBAcRXNgpZQMIiSAzlEQCsQCAQCgUDwg5EhAlo5RMmBQCAQCAQCgeCHRmRoBQKBQCAQCH40RIZWDhHQCgQCgUAgEPxoiCeFySECWoFAIBAIBIIfDZGhlUPU0AoEAoFAIBAIfmhEhlYgEAgEAoHgR0NkaOUQAa1AIBAIBALBD0ZGhghoP0eUHAgEAoFAIBAIfmhEQCv4T5CamkpkZKTs9ZUrV7CwsMDb27sAVQkEAoFA8I1Iz8i/7T+ACGgFPzxRUVHY29tz5MgRWZupqSkLFy6kefPmBahMIBAIBIJvhAho5RA1tIIfnsjISB49eiTXZmhoiL29fQEpEggEAoFA8G8iMrQCwQ9EYQM9hntPYPXtray8sYle0/qhKsn+37i5ky3zT3uw9u52FpzxpEXv1tnaNXNsyZYne/OsqahBUWatn8Ghe/s5cHsP7jOG5Kgpk6ZtG7Pj4laF9o7O7dnuv5kjQQfZcMqbBi3r51mXvmExVmxewKXgk1y4f4wJs0YikUi+OMamXXOOXs3eFxNnj2L2iql51pPJ6zdvadO9P1dv3M7R5vylqzg4D6Fuy0506OXK2YtX5Po37thNy069qduyE32Hjic0LDKHPX0ZdUM9am8ejW3welrd96byLBdUvvLZ6VoaYRe6Gf2GlbLtN3ZqTruYXXnSA2BgqM+6bSu4E3qRWw/PM33u+Bw/t+Y2TTjhv4/AiCucDvDdo+pmAAAgAElEQVSjpW1TWd+D8CtyW1DkVcJf36Fj5zZKa9Iy0MN+3Ujc73jhdmsNP0/vnb2fVFSwHtUZ14AVDHuwHpcT8zBvX1+uf9iD9QwPXM+wB582NS0NpTUZFtdn+641PIm8waOwq8xdMDlHP7WybcbFK38QGXObgOvHaG336c5VkaJ6eK1fwqOwq4RF3+LA4a1UrZb9Z/s19AyKMN57Eltu72Tjze30nTYgx3OBrZMdK86sZtu93/H4cw2tnbP/XPpNH4D74hF50gPSc+Yg73Esub2JRTfW021anxw1NXFqxYzTy1l2dwszziynaW9buf6mvVvx21kPlt3bypRji6naolaedeUHGekZ+bb9FxAB7Q9KSEgIY8aMoVGjRtSsWZOOHTvi4+Mj63/37h1LliyhXbt21KhRg+rVq9O2bVtWr15NWlqazM7T0xMLCwvOnTtHq1atqFatGiNHjpT1nzp1il69emFlZYWVlRVOTk6cO3fuH2m/evUqv/zyC7Vr16Z69eo4ODjg6+srZ5NZA3vo0CEWLFiAtbU1VlZWODs7c/XqVTn9Li4uACxZsgQLCwsiIyNzrKE9efIkPXv2xMrKipo1a9KjRw9OnjwpZ7Nv3z4sLCy4ceMGs2fPpnHjxlSrVo2OHTty8OBBOdv4+HhmzpyJjY0NVatWxdramuHDhxMYGPiPfJQT7ivHkBSXwMh6A/jNfiJVGlWn9S8dFOxq2daj23gn1o31ZHDV3niP9aTruF7UsWsgZ1fGzJieU/v9I03T1kwmIT6BrrV7MKT9UGo3tqLbwC7Z2krUJPQY0p2pqyajqqoi19e6ayv6jHJm9tB5tLXoyA7PXfzmPQ2DEgZ50rXYezYJcQm0qNGenm3606BpXVwG9cjWVk1NQj/33izymoWqivxpsUgxPeavmkHvgY550vE5N27fw2nQaCKinuZoExYRxajJcxg60JnLx/fi/ktvxk6dR8yLlwD4HTnJjt1+eC2dg/8RX6pYmDFq8uw8zXiu5T2ctLgkTtVww7/NFAybVqX8oLY52qtqqWO1dhgS7ewDMF0LIyrPdFZax+es2rCIuLh46lZuSUebXjRu1oABbor7LFehLF5blrJ47kqqlGvIsvmrWb1xMSVK/QRApbL15bYjB09y9rQ/f/idUFpT+1VDSY5LwqvuMHZ0nIZJ4yrUHqAYgFn1saFyl8b4OM7Bs9IA/Bf40M7TnSImUk0GZmVQVZOwstogPCsNkG2pCUlKa9q4xYO4uHgqmTWkZbMu/Ny8EW5DFf+XK5iasGXHKubMWoZJaSvmz/Fg41YPSpUqAYDHqrkULqxLreotMS1bhxt/3Wanz1ql9QCMXjWOxPhEBtbry8SOY6jeuAbtByjeKatrW59eE1xYOWYFzlV6sHLMcnqOc6Z+G2uZjW7RwgxfPpp2/TvmSUsmv6wcSVJcIhPrDWKB/SQsG1Wj5S/tFOxq2Nal0/iebBm7ilFV+7Bl7Crsx/XAyk56QdKgSzPajujGxhErGFXFhWOr9+O6ZgxFfir2j/T9I0TJgRwioP0BuX//Pl27duXcuXN07tyZiRMnUrJkSaZNm8bKlStJSUnBxcWFbdu20bRpU6ZMmcLw4cNRUVFhxYoVbN2qmBkbM2YMrVu3Zty4cdjZ2QGwYcMG3N3dUVFRYeTIkbi5uREXF8egQYPYvXt3nrQfPHgQFxcXQkND+eWXXxg9ejQaGhpMnTqVadOmKdgvW7aMQ4cO4eLiwpAhQwgLC6N///74+/sD0KpVKwYPHgxA27ZtWbhwIfr6+tkee+3atQwdOpS4uDjc3Nxwd3cnLi6OoUOH4uXlpWA/duxYbty4wYABAxg1ahTv3r1j3LhxcgH18OHD2bNnD7a2tkyfPh0nJyeuXLmCk5MTL168yJOPcuInk5JUsq6Kz7xtJCcm8yIiBj/P3di4KP6wFv2pGIfX7Cfk5kMAQm4E8+DyXSzqV5bZqGuqM8RzFCc3/ZFnTaXLlcaqYU285qwnKTGJp+HP2LZiB536Zl/usWjnfGo2rMHOVb8r9HUf3I2NizcTeCsIgDN+fzLUfgRxsXFK6zIuZ0S9RrVZMnMliQlJRIZF47V0Ez37d83W3tvXg3qNarPBU/5/Q0tbi8MXfXn/LpYTh84oreNz/I6cZMKMhQx37fNlu6OnqFWjCi2bNkRNTYJdy6bUsarGbr+jAOw5dAxHh/ZUrGCChoY6I4f042nMc659IeObHdrlSmDQqAoPZu4kPSGZhLDnPFy6D5P+tjmOqTq/PzFHrmXbp6qljpXXMELXHVNKx+eYlDemYZN6zJuxlMSERMLDIvFY7EWfAT0VbLv2sOdqwA1OHDlDWloahw8cJ+DSdZz6KH7GXXva0+Rna4a7TpS7oM8NRU1KULZhZc7P20VqYjLvwl8Q4HEAqz6tFGxvbjnFlla/8i7sORJ1NbT09UiJTyI1IRmAkjUq8DIwgvQU5TRkpXwFE5o0bcD0KQtISEgk7EkEixasZOAgxcC/p1NnLl/6iyOHT5GWlsaBfUe45H+VPv2lF3e/9BlJP5dhvH8Xi46uNkWKFubly9dKayppUoqq1tXZNnczyYnJPI+IYY+HD21cFINH/RL6HFi9h4c3pf/rwTeCuHf5DpXrVQFAU1sTjz/XEPc+jstHLiqtJZPiJiWwsK7K/nnbSUlM5mXEc4547qWZi52CbZGfinF8jR+hH8+ZoTceEnT5HhXrS7PVNgM7cGiJD2F/hwDw18GLLOo8hcQP8XnWJ8hfRA3tD8jcuXNJTk7Gz8+PihUrAuDo6IiLiwvr16/HyMiIwMBAZs6ciaPjp6xS9+7dadiwIX/88Qf9+slfyXfo0IGxY8fKXkdFRbF06VLs7OxYsWKFrL1v37707duXuXPnYmNjQ7Fiub86jY2NZebMmZQsWZIDBw6gp6cHgIuLC25ubvj4+NCmTRusrT9dpb99+5Y//viDUqVKAWBvb4+dnR1z5szh6NGjWFpa8u7dO9auXUulSpVyrJsNCwvDw8ODatWqsXPnTtTV1WXH7tmzJytWrKB169aUK1dONsbQ0JBdu3bJbuPVqFGDXr16ceDAAerVq8fr16+5cOECvXr1Yvz48bJxlpaWLF26lPv379OsWbNc++drlDE35sObWN4+fyNri34YiaFRcbT1tIl//+nEemb7cbmxhQ30sKhXmV2zN8vaXGYN5O8z17l38TYdh2Uf6H2N8uYmvHvznlcxr2RtTx6GUdKoBDp6OsS9lw9G545YwMunL2ndTT5o0tDUoJy5Celp6Szfs4RyFuWICInAe+56EuMTldZV0bI8b1+/40XMS1lbSHAopY1LUVhPl9j3H+Tsf3WfQczTF9g7yv/4Jicl06lZL169eP2Pyw0a1a9NO9sWqKlJGDd9fo52j0LDMDctL9dmWq4swY9Cpe8jNJxfnLrJ+gqpqWFiXIagR4+pV7tGrvUUtjQi+XUsSTGfvk8fgqPQNi6Omp42qe/lf6jLdGuCTvkS3B7lhdkYxQx81Xn9eH7yJi/P38FslEOudXyOuWVF3rx+S8yzTxeDwYGPMTIujZ5eYd6/j/3M1pTA+w/lxj8MCqFSFQv591lYl6mzxjJl3GzevnmntCYD8zIkvIklLuatrO1VcBR6RoZo6GmT9LmfMjJITUjCpElVOm8dj4oK/DlzB3HPpWNL1qiAmmYhnA7NRM/IkNePorkw34fo6w+zHvaLWFYy4/WrNzx79lzWFhT4COOyZdArUpj372LlbO/fC5IbHxj4iKpVLQHpCjGpqTBl+mhGjRnMh9g4HLsOUEoPgLF5WWLfvOfN80/BcOTDCIob/YS2ng7xn50Ljm87KjdWz6AIlepVYcusDYD0/25Uq6G8e/n2H5UblPp4znz32Tnz6cNIDIyKo6WnTcJnn9357fKZ+8IGepjVq8Se2VsppKlOKXMj0tPSGe0zg1LmxsQ8jubA/B0kxSufXc830gvu0N8jIkP7g/H69Wv++usvWrZsKQtmAVRUVFiwYAH79u2jQ4cOBAQE0LlzZ7mxb968oXDhwsTHK15Rfh5EgvTWfGpqKm3atOH169eyLTY2ltatWxMfH8/Fi8pdOV+8eJHY2Fj69OkjC2YBVFVVGTZsGADHjslnd7p27SoLZgFKlCiBvb09jx8/VpgI9iVOnZJmJ1xdXWXBLICGhgaDBw8mLS2NEyfkT2ht27aVq0mrVq0aAC9fSoMkXV1ddHV1OXr0KD4+PrKMrI2NDUeOHMnXYBZAS0eLpCzBXfLHW5Ua2po5jitSvChjN0/hyd3HXPa7AEDDTk0pVdGIvUvyXusIoKWrrRBwJn3UpKWjpWD/8ulLhTaAwkV1UVVVpfugbiyf5EHXWo6cPvAnC7bNpYRRCaV16ejokBCfINeWqVM7G10xT7PPpqelpfHqhfLZquwwNNBHTe3LNbwA8fEJaGnK39LX1NAgPkH6fuLi49HS0symX7nAX01Hi7QsP8aZr9V05PevU7E0Fr86cnPIymxvT5bp0hhd8zIEz/dV6FMGXV0d4rN+bh/ft7au9ldtExIS0dGRt+s3yInI8GgO7Ze/yMst6rpapGTxU0qiNONaKIf/u8grgSyv2Jc9TgtoPLYrFh2kt61TE5N5ejMEvwHLWNdgBCEnb9Bl23j0jIsrpalwNu89/uP3W1dHR65d6if5c35CQgI6Wfy5eMEqShlWZcE8T3bv34hJOWOlNGnqapGYxU+Z5wLNL5yfihYvyuQt03l85xEX/KTlbOlp6bx7+TbHMbnWpKNFchZNyR+z5V86Z+oVL8LQzZMIv/uYa37+aBfRQVVVlVauHdg1ZT0T67lyzc8f982T0DdS7rPLT0QNrTwioP3BiIqKIiMjQy6TmEnp0qWpUKECEomEQoUK8fvvvzN8+HAcHByoXbs2tra2vH79mvR0xcs6AwP5OsUnT54AMGLECKytreW2OXPmABAdHa2U9oiICEC6pFZWTE1NUVFRkVtLFsDMzEzBtkKFCgCEh4fny7EzLwyyHjurTzID4cxblurq6syZM4eUlBSmTZtG48aN6dixI8uWLZP5Lz9JSkhEPcvkkczXiXHZBzOmVmZM91vA08fRLB8wj/S0dEpWKE23Cb1ZM2wZ6Wn/7BI/MT4RzSyaND6+TlDiVlxyUgoAu9ft5UlwGKkpqRzY7EdMZAwNWtRTWldCfAKaWYO+jz9gcd/5LUItTU0SkuR/hBOTktDW1vrUn5hzf25JjU9EkuWzy6yNTf3wKVhS1ShELe/h3J+6lcSoV2RFx7QUFlN6cHOwJxn/8PsUn12wriV9X1lLT+LjExRstbQ0+fBB3q6Hc2c2ee/Is6aU+CQKZfFTIU3puSA5LiG7IaQlp5KRlk74xXvc33cRS/uGAJybvZMT49fzIeYNqUkp/OV9hPfRr6jQoqZSmuLi49HKEpBpf3z94YP83Yf4uAS0tOS/G1paWgp+SkxMIjk5mdUrNxIZ+ZS27WyU0pQUnyj7389EQ3Z+yt5PZlYWzD+4hOjHUcwfMPsfn48UNCUkoq6lLteW+TonTeWtzJjgN4+Yx9GsGbCQ9LR0UpNTATi9/jBPH0aSlpLGua3HeR31gqo/W+WrZqUQNbRyiJKDH4zPg6mcePbsGT179uTly5c0aNCAhg0b0rdvX2rVqoWzc/YTNrLOjs0MeufPn0+JEtlnyIyNlbuC/9KklYyMDDIyMhTeV3bvM1Pb12asZzfmS31Zj6Wq+vXrPTs7O5o0acK5c+fw9/cnICCAtWvXsn79ejw8PGjZsmWuNX6NyKAICuvroWdYhPcvpbdOS5sZ8Sr6JQmxikFak24tcP7tF/Yt/Z1j6w/J2uu2sUaniA4zjywGQPJxxu/q21vZOsWbgIP+udYUGvSEIvpFKGZYlDcfMyrlzEx4Hv2cuGw05cT7N+95/eIN6uqF5NpVJaqoqKjkMCpnHgY+pphBUQyK68syrKbm5XkWFcOHPNTk/ptUrGDCg+AQubaQJ+FUsTD72F+OkNAwfm4kzfqlpKYSFhGFWQUTpY4TGxiJukFh1IsXIfmF9Puka16GhKhXpMZ++rEvUrMCOhVKUX2ZK9WXucra624fT5TvBRKfvaZQUR2anJoHgMrHLLRt8HruTtxI9L5LudYU9OAR+gbFMCxuwMsX0uDZ3LIC0VHPiI39kMX2IVVrVJZrM7Mw5fate7LXNWpVxdBQn8N5mAiWycugCLT0C6NtqEf8y/eAtAwhNvoVybHyQVGzKb0AaeCaiURdjcS30u9co3HdeHjkKs/vhX3WX4jUjxnf3PLgfjAGBvoU/8mAF8+lfrKwrEhU5FPeZymnefAgmBo1qsi1WVpW5ObNOwAcP+XLqpUbOXjg090xDXV13rxRLkMaHhSGnr4eRQyLyrKrRmbGvIx+QXw254IW3W3o/5srPkt3cmjdAaWOlVuigyLQ1dejsGERYj+eM0uZGfE6+iWJsYoBrXW35jj+1o9DS305vf6wrD3uTSzvX7xFLZ/OT4Jvg8jQ/mCUKVMGINsM4IULFxg3bhwTJkwgOjqajRs3sm7dOsaNG4e9vT2lSpXi7dvcnaSMjIwAKFasGA0bNpTbSpQoQUJCAtra2l/ZS/b7DAkJUejLLB8oXbq0XHtYWJiC7ePHjwEoX768Ql9OZAbfyhz7a8TFxXHjxg0+fPhA27ZtmTt3LmfOnGHbtm0ArF+/Xqn9fY2YJ08Junofp2n90dTRxNDoJ+yHdeO872kF2zp2Degz2xWPwYvkglmAQ6v24lrZCbfqLrhVd2HZL9JAxK26i1LBLEBUaBS3r9zBfYYbWjpalDQuifMIJ478rvzEoEPbD+M8sjemlU1RlajSuX8nDEsa4n9c+Ukh4aERXA+4xYRZI9HW0aZM2VIMGt2PfTsPfX1wAdPBriXXbtzm2OnzpKamcez0ea7duE0HuxYAOLSzZeeegwQ+fExSUjLL12zCQL8YtWtWU+o48aHPeB0QSOVZLkh0NNEqWxyz0Z2J2PmnnN2bK0EcK9eHE+YDZBvAtd4LuTtxI4+WH+B4+X6yvmu9FwJwwnyAUsEswJPH4Vy9fJ3pc8ejo6uNcdkyDB87CJ/t+xRs9/kexrpRHdp3ao1EIqF9p9ZYN6rDPp/PLt4a1OLO3/dJVLIc43PePokh8moQzac7U0hHEz3j4jQY3ok7PoqrvUReCaRG7xaUqWcBKipUsLHCsmMD7uyS+tTQwojmM5zRLl4EiboaDUZ0QkNXk0fH/lJK0+OQMC5fusa8BVPQ1dWhrIkR4yYMZdtWxcm6PrsO0KhJfTp1lpZQderclkZN6uOzSxpE/vXX30ycPAJj49Koq6szcfII1DXUOXpE8bzyJZ49ecqDq/foN20Amjpa/GRcgq7DHTnjc0rBtn4bawbOHsKiQfO+WTAL8OLJMx5dfUC3aX3R0NHEwKg4bYd14ZLvnwq2Vnb16Tl7AF6Dl8gFs5lc2HmStsO7YFTZBFWJKs37tqFoCX1unbiqYPuvkZ6P238AEdD+YBQvXpwaNWpw5swZoqKiZO0ZGRls3LiRo0ePyjKOn9fYAuzcuZOEhIRczfK1sbFBRUWFtWvXkpz8KXuQnJzMpEmTcHd3z3VwnEnjxo3R1tZmy5YtvH//Xtaenp7O6tWrAemqBZ/j6+tLbOynCQ7R0dEcPHiQqlWrUrZsWeBTpvZLWVgbGxtUVVXx9vZWeD/e3t6oqqoqnU19/PgxPXv2VFgarEqVKqirqyuVQc4tK90WoypRZfGFNUw/MJ87527i57EHAK9727G2bwJApxHdkaipMmzNWLzubZdtfea4fmn3eWLGoJlI1CTsuryN1Yc8uHr2L7Ytl97iPRJ0EBuHFrnaz5al2/h9jS/T1kzm8P0DtOpsw0SXybx8pnibOzeMHjAJiUTC8Wv72Hl0AxfPBLB26UYArj4+Q7su2a/LWxDUtXHg8HHpKgoVTIzxmD+NdVt9aGjXjbWbdrJszmTKlZVeEHZub4uzowMjJ82iSbsePAgOYfWi3yikpvwNt+sDlqMqUaXFNQ8aHZ3FizN/83CpNHhs/XgTpbs0yr83mUsG9x2DmpoaF28ew+/kDs6evsiKRdJVSB6EX6FTV+nEvZCHoQxwHoH7qAHceXyREeMGMajPaEJDPl0ElzUx4tnT59keRxkODV6BipoqAy8uw8lvBk/O3iZgxX4Ahj1Yj2UnaUlByMkbnJm2FduFAxh6xwvrEQ74ua6QTfo6Psabt2HPcTk2F7e/12LcoBK7e80n8Z3ydw369B6KRE2NW/f+5NTZvZw6eZ5F81cCEPHsb7p1ly539TD4Mb17DGH02MGERl5n/MSh9HFyJ+TREwB+m7aIUyfOcfzMbu4/9KdmzSrYt+vNu7fvczp0jiwesgCJmoTV/uuYd2ARt87dYI+HdDnJbfd9aNJJOq+g+4ieqKqpMnbtRLbd95FtrnOGKH3Mr+HtthRViSqzL6xkwoG53Dv3N0c+njOX3dtKXfvGALQd0RWJmgTXNWNYdm+rbOs5ZyAAfyzfwwmvgwzwHMWS25up59CEVf3m8e6zSZX/NqKGVh6VjLwsXigoUG7fvo2Liwuampo4OTlhYGDA6dOn8ff359dff0VHR4cpU6ZQpUoVunSRzka+ePEip0+fRkNDA21tbQICAgDpOq4rV67Ex8eHmjXl67iWL1/OmjVrMDc3p2PHjmhpaXHw4EH+/vtv+vfvz4QJE5TWvnfvXiZPnkzp0qXp1q0b2traHD9+nOvXr9OlSxfmzp0LSNehdXFxQUNDg1KlStG9e3eSk5PZsWMHHz58YOvWrVSvXh2A0NBQ7OzsqFKlCj179sTW1pbAwEBcXFwYM2YMrq7SIG7lypWydXft7e3JyMjAz8+P4OBghg8fjru7OyBdh/bXX39l6dKltGsnP+vdwsKCxo0bs2GDdDauq6sr58+fp3379tSpU4ekpCT8/Py4f/8+np6eCgF6bulTLvt1XAuK8FTlf9y+NS9SYr9u9C9z897Orxv9y5yoMrmgJSgwJOVuQUtQYIRu7leI+LeY/TqgoCUo0NKg8teN/mWKq+Q8wasgWfPkn02S/Bpvuv2cb/sqtvtsvu2roBA1tD8g1atXx8fHB09PT7Zt20ZKSgqmpqYsW7aMtm2li6InJCSwc+dOFixYQOHChSlfvjwrV67k1q1brF+/nvv371O58pdPTCNHjsTMzIxt27axevVqVFRUKFeuHHPmzJEFysrSpUsXSpYsibe3tyyzaWpqyuzZs+nWrZuCvaurK+/evcPLy4v09HTq1KnDyJEjsbS0lNmUL1+efv36sWfPHubMmYORkVG29a9Dhw6lQoUKbNmyBU9PTyQSCZUrV2bVqlXY2Cg3ASKTZcuWsX79eo4ePcqpU6eQSCRUrVoVb29vmjZt+vUdCAQCgUCQF/4jpQL5hcjQCr5LMjO0n2dY/58QGdqvIzK0uUNkaHOHyNDmDpGhzT3fOkP72iH/lobU3//PngD6PSBqaAUCgUAgEAgEPzSi5EDwj1Dm8a76+vrfZKKUQCAQCAT/d4iSAzlEQCv4RzRu3DjXtqdPn5Yt3SUQCAQCgSDvZIiAVg4R0Ar+EZs2bcq1bfHiuX9EYP369QkKCvq6oUAgEAgEgv97REAr+Ec0bNiwoCUIBAKBQPD/x3eUoX358iXLli3j/PnzxMbGYmlpybBhw2jU6OtrWcfFxbFmzRqOHDnCy5cvKVOmDF27dqVPnz6oKbG+tghoBQKBQCAQCH4wvpeSg7i4OPr160d4eDh9+vShRIkS+Pr6MmDAANatW/fF0sTk5GT69evH3bt36dGjB2ZmZpw7d46FCxcSFRXFtGnTcq1DBLQCgUAgEAgEPxrfSUC7fft2goODWbt2Lc2bNwegU6dOdOrUiVmzZnHs2DFUVFSyHbt582b+/vtvubXoe/bsyZAhQ9ixYweDBg2iRIkSudIhlu0SCAQCgUAgEOQJPz8/TExMZMEsgI6ODt27d+fJkyf8/fffOY719fXF3Nxc4cFKQ4YMwd3dncTExFzrEAGtQCAQCAQCwQ9GRnr+bXklNjaWx48fyx5F/znVqlUDyDGgffr0KRERETRp0kTWFhcXR3p6OtWrV2f48OGYmJjkWosIaAUCgUAgEAh+ML6HgDYmJoaMjAxKlSql0PfTTz8BEBUVle3Yx48fA1CmTBk2bdpEs2bNqFWrFnXq1GH27NkkJSUppUXU0AoEAoFAIBD8H9OyZcsv9p8+fTrb9thY6SPItbS0FPq0tbUBSEhIyHbsu3fvANi2bRvv37/H1dWVUqVKcerUKbZt20ZERAReXl65fg8ioBUIBAKBQCD4wcjXVQ7yeL8+PV0qIrtJXxkZGTn2AaSkpAAQGRmJn58fpqamALRu3ZpChQqxd+9e/P39c/0AJxHQCgTfISnfy3osH4lLTy5oCQpoqhYqaAkKnKgyuaAlKGB7b05BS1DE3L6gFSiQkv1vriAL1Slc0BIUKJX6f/rhZeTf+84pA/s1dHR0ALKdvJWZmS1cOPvvTGYGt0GDBrJgNpPu3buzd+9eLl26lOuAVtTQCgQCgUAgEAiUJvNx9jExMQp9z58/B8i2vhaQLcdlaGio0GdgYADAhw8fcq1FZGgFAoFAIBAIfjC+hxt5urq6lCtXjjt37ij0ZbZltwICgLm5OZqamgQHByv0hYeHA58C5twgMrQCgUAgEAgEPxgZ6Sr5tv0T2rdvz6NHjzh//rysLS4uDl9fX0xNTWXLd2VFU1MTOzs77t27x59//ilrT09PZ+PGjUgkElq3bp1rHSJDKxAIBAKBQCDIE/369cPPz48RI0bQt29fihcvjq+vL9HR0axbt042KezmzZuEh4fTqFEjWZnB2LFjuXbtGiNGjKBXr14YGxtz/Phxrly5gpubm1Lr0IqAViAQCAQCgeAH43soOQBp2X/432UAACAASURBVMGOHTtYtGgRO3bsICUlBUtLSzZs2ECDBg1kdj4+Puzfv5+tW7fKAtrM4NfDw4PDhw/z/v17ypUrx5w5c+jatatSOlQyMtdVEAgE3w29TBwKWoIcj1JeF7QEBdK/l7P5Z/yWnvt6r3+L73GVA9PvcJUDt8I1ClqCAgteBRS0BAVGGdQvaAkKlEr7Plc5GBi5/ZvuP8q6Rb7tq8zlM/m2r4JCZGgFAoFAIBAIfjC+w2v6AkVMChMIBAKBQCAQ/NCIDK1AIBAIBALBD8Y/XZ3gv4bI0Aq+Gc7Ozjku1/E9ERMTw4ABA7CysqJ27docP36cFi1aYGdnJ2eXmppKZGRkAakUCAQCgeATGRn5t/0XEBlawf898+fP58KFC7i4uGBubk6NGjWYNGkSqqqfrveioqJwdXXF3t4eV1fXAlQrEAgEAoEgKyKgFfzfc//+fYoXL87kyZNlbSVLlpSziYyM5NGjR/+2NIFAIBAIskWUHMgjSg4E//ekpKSgq6tb0DJyhZ5BEUZ7T2Td7e143dyC87T+qEqy/zdu6dSaxWdWsuHeTpb8uQob508lFIU0CuE8rT+eAetYf2c7Mw8soLJ11TxpKmZQlEUbZ3P6wWFO3PVj1G9DkUgkXxzTvG1T9l/eJddWuIguv3lO5sRdP84EHWGVz1LMqlTMs6bFm+byZ+ARTt07xOiZw76qqUW7ZhwI8FHQNHPlVE7dO8TZ4GOs9l2OeR41qRvqUXvzaGyD19PqvjeVZ7mgksNnl4mupRF2oZvRb1gp235jp+a0i9mVbZ8yvH7zljbd+3P1xu0cbc5fuoqD8xDqtuxEh16unL14Ra5/447dtOzUm7otO9F36HhCw/JWnmNgqM+6bSu4E3qRWw/PM33u+Bw/u+Y2TTjhv4/AiCucDvCjpW1TWd+D8CtyW1DkVcJf36Fj5zZKa9I20KOz90hG3vZi+M01tJzWO/vPTkWFxiM743Z5BaPvr6f/8XlYtst+mavqPX5mYljel3UyLK7P9l1reBJ5g0dhV5m7YHKOfmpl24yLV/4gMuY2AdeP0dquuayvSFE9vNYv4VHYVcKib3Hg8FaqVsv++/Y1tA306O49ivG3vRl7cy22X/BTs5GdGXHZg4n3NzDo+Hwqf+YniUYhbKf1ZmSAJ+PvrOOXA79RzrpynjRpGujRav1IXO554Xx7DQ1m5Kyp1ujO9Ly6gr5B6+lyah4V2n+mSbMQjef1w+nGSlzuetH291/Rr2ScJ035xffypLDvBRHQCr45N2/exNHRkWrVqtG0aVPmzZvHhw8f5GxOnTpFr169sLKywsrKCicnJ86dOydn4+npiYWFBWFhYUyYMIH69etTvXp1HB0duXDhgsJxg4KCGDZsGPXr16datWq0b9+eLVu2kJ4uXetk3759WFhYEBUVRWhoKBYWFjg7OwPI1dB6enri4uICwJIlS7CwsJDV0l64cIFevXpRv359atSoQceOHVm3bh1paWn568SPDFs1hsT4RNzr9Wdqx/FUbVyDtgM6KtjVsa1Hjwm9WTvGg1+q9GLtGA8cxzlRt410keseE5wxr2PJdIeJDKzhwp+/n2LsxskYlDZUWtOctTOIj0ugba0u9G07mHpNatPTtVu2thI1Cc5uPZmz5n/s3XlcDfvjx/FXSntdLa4lLUJFua4lu7giIUtcsqUiQvYl2desyU5lX+LaZcm+/mzZry0iSbLvqVNp+f1xdDidotPli3s/z8dj/mjmMzPvmTln+pzPfGZmHCqF5E+iowL90NHToU3tzjS2bcH1y1EErijYM1SnhkwgOUmCc2VXPJr2pEa9anTq2T7PTF37dGLK4vEUypFpzKzh6Opq07pWRxwrNOf65ShmrZxaoExVQvuTkZTKwUp9ONF0NMYOdpT2aZZn+UJa6lQO7oeqtkau03WtS1FhonuBsnzq4pXrdPYZTHzCozzLxMUnMGhUAH17uHN63xZ8u3dh6JipPHn2HIDwiAOEbQonJCiAExEbsbUux6BRkynIY84XLptJUlIy9hUcadmoE3Xr18S7j+J2WliaEbIqiMApC7C1qM3saYtYtDyQYiV+BaC8WQ25IWLHAY4eOsHu8P1KZ2q1sC9pyaksqN6PVS3HYlHXFntvxYpxVY9G2LWtyzq3AIIqeHNs+gZazveliNmvcuWMy5ngOKaz0jk+tXzVPJKSkilfrjaO9dvS4I869OnrpVDOsow5q8IWEjBpNuYlKzMtYB7LV8+jRIliAMxbOAU9PV2q/OZIGbNqXDx/hXUbgguU6c+F/UhLTiGoel+WthyDZV07auayn+w9GvNb23qsdpvMtArdOTx9A23m98Xgw35yHO6GaTUrlruOY2alnlz86ygdlg9Bv6SR0pkcF/flfXIqYVX7sd1lLCZ1banYQzGTrWcjyrWty652Aay09ubc1A38sdAXPXNppqqD2/CLZXE2NxzO2sp9eHnjPo2XDFQ6j/DtiAqt8E2lp6fj6elJyZIl8ff3x97enpUrV+Lt7S2r9C1btgxfX19UVFQYOHAgffr0ISkpCR8fHzZt2qSwTC8vLx4/fkz//v3p1asXd+/excfHh/v378vKnD9/nvbt23P9+nU8PT3x9/fH1NSUKVOmMHz4cADs7e2ZMWMGBgYGFC1alBkzZtCrVy+F9TVu3Fg2vlmzZsyYMQNDQ0POnz9P7969SU9Pp2/fvowYMYJixYoRGBhIUFDQV9+XxcyLY1urIuumrCItJY2n8U/YNm8jjbsqnpyLFDNkx6Kt3LkUDcDti7e4fvoa5avbAqCuqc7moL94+egFWZmZHPnrAOlp7yldsYxSmUpZmFCtTmXmTw4mVZLKw/uPWDZnNe28cn8xxPz1s6hauzKrFoQpTBvVewIjfcbz7u07tHW00NPX4/WL10rl+ZipCvMmLSJVkkrC/Ucsnb2K9t3a5Fp+4V9BVK1TmZULFFvLRvQaj7/PuE8y6fKqAJm0LYphVMeWqInryJSkIYl7yu2grZh3c8pzHrtp3XgScS7XaYW01Kkc0o/YJXuVzvKp8IgDDB8/g/49PT5fbs9BqlSyxdGhNmpqqjg7OlCtckU2he8BYPPOvbi5ulDW0hwNDXUG9vbi0ZOnnPtMi29uzEubUrtedaaODyJFksL9uAfMCwzBw7ujQtk/O7Ti7JmL7I84TEZGBru27+PMqQt09lB8u9CfHVtRr0Et+vf0V/rHZhHzYpjXqsDRKetJT0njTfwzTs7bTtWujRXKXlh1kGVOI3h9/ymq6mpoG+nzPjmV9ylpsjJqmuq0XNCX8yv2KZXjU6UtzannUJNxo6cjkaQQdy+emdMX0MNHseLfsXMbTp86T8Sug2RkZLB9awSnTpzFo1sHALp7DMSraz/evklER1ebX4ro8fy58i9SMTAvhkWtChz8sJ9exz/j+Lzt2HdV/IyfW3WAYCd/Xsn2k57cfiqsqc6xoC28ffSSrMwsLv11hIy0dEpULK1UJn2LYpSsXYGzAevJSEkj8f4zLs3dTgVPxWN3feVBtjQaQWLcUwqpq6FppE96cirpEmmmImVNoFAhQAVUVMjMzCT9k+P6PYibwuSJPrTCN5WZmUmXLl0YNmwYAJ07d6Z48eIsXbqUnTt3Ym9vT1BQEM7OzsydO1c2n6enJ56enkyZMoVGjRphYGAgm2ZnZ8e8efNkf5cqVYphw4axc+dOfH19ycrKYtSoUfz6669s27ZN1p2gc+fOBAYGsmTJElq2bEm9evUwNTVl7ty5qKur06pV7m8vsrGx4c2bNwQHB1O+fHlZud27d/P+/XuCg4MxNDQEoH379nh5eXHv3r2vuh8BSlmZkfgqkddPX8nGJdyOp2ipX9HW1yb5bbJs/ME18hUdfaNfKF+9AmsnrQBg2Uj5FpgKtSuiradN3I1YpTJZWlvw5uUbnj95IRsXGx1HiVLF0dXX5d1b+Zb48f0DeProGc3bO+dcFBnpGWSkZ9B7uDce/TqT/C6ZQV39lcoDUMa6NK9zZLobfS/PTGP7Tebpo2e4tFf8YZCdqY9/Dzz7dSH5XTID3P2UzqRnU4q0l4mkPvl47N5FJ6BtWhQ1fW3SPzl2ACbt6qFTuhhXBoVQbkhbheXZTfXi6YFLPD9+lXKDCv5WuTo1qtLcqSFqaqoMGzctz3J3YuOwKiNfmShjYUb0HennJSb2Pt07f2yVL6ymhrmpCbfu3KV61fy/gcvKpiyvXr7myeNnsnHRN+9SyrQk+vp6vH2b+EnZMty8cVtu/tu3Yihvay03Tk9PlzGThjJ62GRev3qT7yzZilqZIHmVyLunH3/IvLidwC+ljNHQ1yb102OXlcV7SSoW9exov8oPFRU4NDGMpE/mdZrkScyhS8SduE6dfq2VzgNgU74cL1+84vHjp7Jxt27ewdTMBP1f9Hj7JlGu7I3rt+Tmv3nzDnZ2NoC00SE9HUaPG8ygIb14l5iE25/eSmcqalWK5Bz76fntBIp8Zj9Z1qtIpw/7ad/EtbJ5d49cLrdsi9oV0NDT5smNOKUyGViZkPIqkeQnHzO9up2AXilj1PW1ScuRKV2SiomDHc5rpJlOTwhD8iHTldAIGocOoOu1YDLTM0h5mcju9lOUyvO1/Vu6CnwtooVW+KZUVFQUWj27d+8OSLsZHDhwgPT0dJo2bcrLly9lQ2JiIk2aNCE5OZmTJ0/Kzd+iRQu5v+3spH0/nz+XXv6Miori3r17/PHHH6SlpcktN7sbwYEDB/7xtmXfODZ+/HguXrxIRkYGhQoVYtWqVSxcuPAfLz8nTV0tUpNT5Malfmg90NTWynO+X4oWYfiqMcRejeFk+HGF6WUrWzFg0TC2zNnAs/inuSwhb9o62kgk8plSPvytraOY6emjZwrjclo+dzX1LJ1YGrSKuWEzKGlWQrlMutqyDF8r07I5q6hTuhFLglYyf10gJkpmUtPRIiM5VW5c9t9qOppy43XKlsR6hBuXei+ATMWmE5O2ddG1MiF62kalMuTG2MgQNbXP9y0GSE6WoKUp3/VBU0ODZIkEgKTkZLS0NHOZLn8cvkRXV4fkZIncuJQP69DW1f5iWYkkBR0d+XJePp15cP8hO7cVrEVUXVeLtBzH7v2H7526tmZusxAfeZOZ5Tz5q8t06g39E5sPfTFtXetgVLYkx2dtLlCWbHq5bHvyh3ODro6O3HjpfpL/wSSRSNDJsT8Dpy+khLEd06fOZ9O25ZhbKNc/VENXk/cK+0n6d177KS4yioByHqztMo0/hrajgktNhTImlcvy56L+HJuzhdfxX/6ufqqwrhbpOTJlt7gW1sk906MzN1lu6UlEx+lUG/Ynli2kx66QqiqxEecIq9aP1bY+xO27gNPyQahqFFYqk/DtiAqt8E0VLVoUPT09uXGGhobo6+sTHx8va8kcMGAAtWrVkhsCAqT9Jx8+fCg3v5GRfD8qdXV1ANmlxOxlrlq1SmGZbdtKW7sSEhL+8bZ16dKFunXrsm/fPjp27EiNGjXo378/u3btIj09/R8vP6fU5BQ0tOQrFRpa0m2XJElym4Wyla2YvGMmD+8mEOg9hcwM+XclNujQiJFh4wlfsJlt8xS7d3xJSnIKmjkyaX6o2CS9S85tli9KTUnjfdp71oVu5HHCU+o3qavU/JJkyTfLFBayQZrJuZ5S86cnp6CaI1N239j0dx+PXSGNwlQJ7c+NMatJSXhBTjplSmA9ugOXes0nK+N/995LLU1NJKnyFYOU1FS0P/yQ0tLURJKS9/T8Ss6tYqwlXUZSYlKOshKFslpamrx7J1+ug3sbVoQqdnHJr/fJqRTOcewKf/jepeXxvctISycrI5O4k9e5vu0ktq1qY2hZgvrD3djRf+E/PnZJyclo5agkan/4O+f9CclJErS05I+DlpaWwn5KSUklLS2NRQuW8+DBI5o1b6RUprRc95P07y/tp9iT17my7QQVW9WWm165QwPcw0ZwYkE4/zdvu1J5ANKTU1HLkUkt+9i9yz1T5odMD09e586Wk5RpXRsVNVUcQ/oRvfEYyY9f8T4phZNjVqNd3ACTegW7mfZryMpS+WrDv4HociB8U58+y/VTWVlZqKqqym7QmjZtGsWKFcu1rKmpfEtBXsv8dNkg7bZQv379XMvo6+t/dhn5oaOjw7Jly7h58yZHjhzh9OnTHDlyhH379rF27VrWrl2LmtrX+4o9uHUfPUN99I1/4e1z6aVTk3KmvHj4HEmiYkWtfntHPCZ4szloPRFLdshNUylUiG6Te2LvXJOgHtO4dlK5vo7ZYm7dpYhhEQyNDXj5XHo5vbSVOU8ePlWogHzJ0h0LWReykcO7P94MqK5emLev3yqX6WasQiZLKwseJzxROtOyHYtYF7KRQ7uPymV680q5TIk3H6BupId60V9IeyY9drpWJkgSXpCe+PEf6y+/W6JjWYLfZvfkt9kfn3dsv9aPhI3/R8rjlxQuokO9g9Ib01Q+tK46RS/lmv9yHm49pVSu/CpraU5UdIzcuJh797G1LvdhugUxsXE0qCNtzXqfnk5cfALlLM2VWs+tqDsYGhlgXNSI58+kFXorG0seJjwmMfFdjrK3saskf+d7OesyXLl8XfZ3pSp2GBsbsqsAN4Jle3YrHm1DPbSN9Ul+Lj3uRuVMePvwBamJ8pWihqM7AXB48jrZOFV1NSSvk7BuZo/mL9p47Z4MQKEPx27glRD2j1nJjfDT+c4UdSMaIyNDiv5qxLOn0v1kbVOWhAePeJujS01UVDSVKtnKjbOxKculS1cB2HdwIwsXLGfH9o/dlDTU1Xn1Srm+4tn7ScdYn6QP+8m4nAlvctlPjUdLb4g7MPnjDw019cJIXkuzqxRSodlkL2yc7dnQI4jYk9cpiJe34tE01EPLWB/Jh0wG5Ux49/AF73NkqjFGeuwiJ31y7DTUSH2dRGEdDTSL6FJI/WNrbFZGJlmZWWS+//qNF/mV9b/7TftTEC20wjf14sULJBL5E8fTp09JTEzEwsKCUqVKAWBgYEDt2rXlhmLFiiGRSNDW1s5t0XkyMTEBpBXfnMu0s7Pj9evXSi8zN3FxcZw/fx4bGxt69+7N6tWrOX36NE5OTly6dImzZ8/+43V86vG9R9w8e4OuY7ujqaNJUdNfce3fnqMbDiqUtW9ak26TfZjjM12hMgvgPtaLSg2qMLrFsAJXZgHiYxO4HHmFQRP7oa2jRUnT4nQf2JUd63crvazrF2/Qc6gXxU2KUVi9MD2GelFYvTDH95/88sxymR5wKfJvhkzs/yFTCbwHeRQs06Uoeg7rRvFS0kw9h3b7kOmEUstJjn3MyzM3qTCpK6o6mmiZFaXc4DbErzsiV+5V5C32Wniw38pbNgCc6zKDa/7LuTNnO/tKe8mmnesyA4D9Vt7frDIL0MLZkXMXr7D30HHS0zPYe+g45y5eoYVzQwBcmzuxbvMObt6+S2pqGnMWr8DI0ICqvyv3psB7d+9z9vQFxk3xQ0dXG1MzE/oP9WHD2q0KZbdu3EWtOtVwad0EVVVVXFo3oVadamzdsFNWxr5mFa7+fUOhC4oyXt17QvzZWzQa6466jia/mBalTv/WXNlwTKFsfORNfu/cENPq1qCiQlnHypRvUZO//zrC6QU7CCrvzZzffJjzmw+bu80CYM5vPkpVZgHuxsRx+tQ5pk4fja6uDmbmpRg2vC9rViteZdmwfjt16tWgdZtmqKqq0rpNM+rUq8GG9dIWz/Pn/8Z/1ABMTUuirq6O/6gBqGuosyfikFKZXt57wv2zN2nyYT8VMS2KQ//WXN5wVKFsXORNqnZuiFl1G1BRwcqxMrYtanLxL+n3wWmsO2UbVGJpizEFrswCvI19wuPIW9Qc705hHU30TItSeUBrbv2leOweR96kvHtDiteQHjuzRpWxbFmTm+uOkPYmmceRt6g+sgOaRvqoahSm+qgOpL5M5PHZ6ALn+6cys1S+2vBvICq0wjf1/v17hScVhISEAODk5ESjRo1QUVEhODiYtLSPd4ympaUxcuRIfH19ef1auZYCOzs7SpYsyaZNm3j8+LHctEWLFjFo0CClK5vZz3fMblEGmDJlCl5eXjx58kQ2TldXFysrK+DLLckFMaf3DFTVVJl7IoSJ22fw97GLbP3QVWD5jXXUaS19DmfbAW6oqhViYLAfy2+skw3dAnqhZ6CHU9emFClahBkH5spNz55fGf49xqKmqsr2yL9YvjuY00fPsmz2agCO3t5DE9f8XbpcMCWUU0ciWbZzEbsvbqZ8RSt82w8i8c27L8+cw3DvMaiqqbLj7EZWRoRw6kgkS2evAuD4nX04t1G8yzk38wOCOXX4DCt2BrPn0lbK/2ZN73YDC5TpgvccCqkWouG5edTZM4lnh//mdpC0otbk7gpKtq2j9DK/JftGruzadxgAS3NT5k0by5LVG6jt3I7gFeuYHTAKCzPpD9I2Lk64u7kycOQk6jXvQFR0DItmTqBwAa5Q9PIcgpqaGicv7SX8QBhHD51k7kzpOSPqfiSt/2wOQMztWLzdB+A7yJurd08yYJgPPh6DiY35eOOQmXkpHj9Srl94brb1nkshtUL0OjGbrtvHc/fYFU7O2wbA4BtLqdBaeqn89oGLHBy3mqbTvRl4JYQ6A1zZ5jOXhAu3P7f4AvHo0hdVNTUuXz/CwaNbOHjgODOnLQAg/vHftGsvfZzf7ei7dOnQm8FDexH74AJ+/n3x6OxLzJ17AEwYO5OD+4+x7/Ambtw+we+/29KqeRfeKHllBGBT77kUUlOl/4k5dN8+gZhjVzj+YT/531iG3Yf9FH3gAnvHrabFdG/8roRSb4Arm3zm8ODCbbQMdLHv2hjdokXofWA6/jeWyYbs+ZVx0Ed67Dqcnk2rneN5cPQKl+ZIM3neWkoZV+ky4/Zf5NSY1TjM9MbjeghVBrpysMdcnn44dgd95vL27iPaHphCp/PzMChnwp7OM0iXpOa5buF/SyWrIA8KFIR8cHd359q1awC4urpiZWXFyZMn2b9/Pw0bNmTRokWoqKgwZ84cFi9ejJWVFS1btkRLS4sdO3bw999/061bN9ljtubPn8+CBQvYsGEDv//+u2w9Dx48wNHRETc3NyZOnAjA8ePH6dOnD7q6unTo0IESJUpw5swZIiIiqFKlCitXrkRDQ9q3qmHDhqirq7N378dLbjnHxcbG4uzsjK2tLR07dsTJyYnbt2/j6enJr7/+Svv27TEyMiI6Opr169djZWXFpk2bvvgw/7x0Mi/4nevfwp33yj/G51vL/AGvt03ILPW9Iyhwul6wZ/l+S2Wscn+iyPfURy//T2P4X5n+4sz3jqBgkFHuL4r4nkpk/JgtjD0eFPzFGflxy0b5l4Tkxfrmnq+2rO9F9KEVviljY2MmTpzIjBkz2LhxI7/++iv9+vXDx8cHFRXpSWjgwIGUK1eONWvWyCq5FhYWBAQEyG7iUpaDgwPr1q0jODiY9evXI5FIKFmyJL1798bb21tWmc2v0qVL4+XlxebNmwkICKBUqVLUqlWLFStWEBISwtq1a3n9+jXFihXD3d2d3r17F7gyKwiCIAhfIh7bJU+00ArCD0i00H6ZaKHNH9FCmz+ihTZ/RAtt/n3rFtqbVnm/aVBZNtERX21Z34tooRUEQRAEQfjJiOZIeaJCKwiCIAiC8JMRXQ7kiaccCIIgCIIgCD810UIrCIIgCILwk/m3PD/2axEVWkEQBEEQhJ/Mv+WVtV+L6HIgCIIgCIIg/NREC60gCIIgCMJPRjzlQJ6o0AqCIAiCIPxkRB9aeaJCKwiCIAiC8JMRfWjliT60giAIgiAIwk9NtNAKgiAIgiD8ZEQfWnmiQisIgiAIgvCTEX1o5YkKrSD8gB6kv/3eEX54mfx4zRO931/73hEUWbX63gkUxESHf+8ICkqVafa9Iygw0NT73hEUrJNEf+8ICvTUtL53hFz1+N4B/mNEhVYQBEEQBOEnI24KkycqtIIgCIIgCD8Z0eVAnnjKgSAIgiAIgvBTEy20giAIgiAIP5kf7y6C70tUaAVBEARBEH4yosuBPNHlQBAEQRAEQfipiRZaQRAEQRCEn4x4yoE8UaEVBEEQBEH4yWR+7wA/GFGhFQRBEARB+MlkIVpoPyX60H7BgwcPsLa2ZuzYsd87iiAIgiAIgpAL0UIrCIIgCILwk8kUz+2SIyq0giAIgiAIP5lM0eVAjuhyIAg/kSJGRQhYNpHdN8LZcXUr/Sb0QVX181/j+s3q8depNXLjVFRU2Bu9i323d7E3+uOgqaWpdCYDoyLMXD6ZQ1G72H8tnEET+qKqqvrZef5o5sC20+vznN6qU3POPjymdJZPM81aMYVjN/dw6Pouhk7s/8VMDZvXZ8eZjXLj1DXUGTqxP3subOXYrb2s2h1KtdqVC5TJyNiQJWvmcjX2JJdvH2fcFL88M/3RqB77T2zlZnwkh86E4+jkIJsWdT9Sbrj14Cz3X16lZZum/4pM2V6+ek3T9t04e/FKnmWOnzqLq3tv7B1b06JTT46ejJSbvjxsE46tu2Dv2BrPvn7Exj0oUBZjY0NWhi0gOu4sN+6eZtLUEXnuJ8fGDhw9tYPYhxf5v7O7adykgWyaiooKdxMuEPvwIncTLsgGbW0tpTMZGRsQvDqIyzHHOX/rMGMmD80zU4NGddlzfCPX4k6x/9QWGjrVk03T0NRgcuAoIq8f4NKdY6zdGoxNhXJK5wEwNDZgwaqZnL19mNNRBxgxafAXv3dOLn9w4Nx2hfHd+7pz9PIuLsYeZ/W2YEqXMS9QJun5KYDDUbs5cG0Hgyf0y8f5qT7bT/8lN07vF10mzh/NgWs7OHJrD4s2zMbKtmyBMgnfxn++Qnvz5k369u1LjRo1qFixIs2aNSM0NJT09HSFsqGhoTRo0ICKFSvSpk0bdu/erVBm5cqVtGjRgt9//52qVaviw2DeywAAIABJREFU7u7OwYMHC5wvMzOT1atX06pVKypVqkS9evUYMmQI8fHxSm9Hdn/gNWvWsHLlSpydnbGzs6Nhw4bMmTOH9+/fF2hbbt26Rb9+/WTrdnFxYdWqVWRmyt+DmZSUxNSpU6lfvz6VKlWiU6dOXLt2DRcXF7p37y4r5+/vj7W1Nc+ePZObPzIyEmtra0JDQ5Vef/a8+/fvZ968eTRs2BA7OzuaNGnCypUrFbbpyZMnjBkzBgcHBypVqkTTpk0JDQ1V2EcHDx6kU6dOVK5cmcqVK9O5c2eOHSt4RexLxgePQZIkoU2V9vg096Vq3Sq06/FnrmVV1VTp2NuNcYtGo1JI/qtuYWWOmpoqzSu0xtnKRTakSFKUzhQQPJ7kJAnNqrTFs1kvqterSsee7fLM5N6nIwGLx6FSKPfWBUsrCwaO76t0jk9NC5mIJElCk8qt6dq0J9XrVaNzz/a5llVTU8WjTyemLp5AoRyZ+o/qRSX7ini26MUf5Zuxfd1O5q6ZQXGTYkpnWrhsJklJydhXcKRlo07UrV8T7z7uCuUsLM0IWRVE4JQF2FrUZva0RSxaHkixEr8CUN6shtwQseMARw+dYHf4/n9FJoCLV67T2Wcw8QmP8iwTF5/AoFEB9O3hzul9W/Dt3oWhY6by5NlzAMIjDhC2KZyQoABORGzE1rocg0ZNJitL+eu0oStmk5SUTCUbB5o2bIdDg1r4+HoolCttac6yNfOYHjCXsqb2zJw6n9CVsyn+YT9Z25RFrXBhrMxrYGlSVTYkJ0uUzjRv6XSSk5KpaeeEq5M7tevXoFvvzgrlLCzNWLRiJkFTF1HJsh5zpgczf+l0ihUvCsBAPx8sypjhVKct1cs7EnX9NotXzVI6D8Ds0CkkJ0lw+K0p7Zw9qeVQHY9eHXMtq6amSve+7swKmUIhFfnvXWu35rh7u+Ht1p+aNo24fuUmc5dPL1CmKcHjkSRJaFqlDZ7NfPJ1fpqSy/lpdOBwdPR0cK3diUa2Lly/HEXgiikFyvS1ZKHy1YZ/g/90hfbMmTO0a9eOc+fO0alTJ4YPH06pUqWYNWsWffr0ISMjQ1Z2586dhIaG4urqypAhQ0hLS2Pw4MGsW7dOViY0NJSpU6diZWXFiBEj6NevHy9fvsTX17fAlZxhw4YREBCAoaEhQ4cOxc3NjRMnTtCpUyeePHmi9HYArFixgqVLl+Li4sLo0aMpWrQoixcvJiQkROltOX/+PO3bt+f69et4enri7++PqakpU6ZMYfjw4bJy6enpdO3alZUrV1KrVi38/PwwNDTEw8OD58+fF2jfKLP+bNOmTWPXrl107NgRf39/VFVVmTp1Ktu2bZOVefz4Ma6urmzfvh0nJydGjBiBra0ts2bNkrs5cNmyZfj6+qKiosLAgQPp06cPSUlJ+Pj4sGnTpgJvU15MLEpSpfbvLA4IJTUllUf3H7F67lraeLXOtfys9TOoXPt3whYqtoTaVLImJuou6e8Vf7gpo5SFCdXqVGb+5GBSJak8vP+IZXNW087LNdfy89fPomrtyqxaEJbrdA0tDSYvHseGpZsLnMnUwgT7OlWYM2kRKZJUEu4/ZOnslbh1a5tr+YV/zaZanSqsXLBWMY+mBotnLuPJw6dkZmayLWwnaanvKf+btVKZzEubUrtedaaODyJFksL9uAfMCwzBw1vxn/2fHVpx9sxF9kccJiMjg13b93Hm1AU6eyj+cPmzYyvqNahF/57+Ct/znzETSCuiw8fPoH9PxQqjXLk9B6lSyRZHh9qoqani7OhAtcoV2RS+B4DNO/fi5upCWUtzNDTUGdjbi0dPnnLuMy2+ubGwNKOOQw0mjg1EIkkh7t4DgmYuplsPxcqjW6fWRJ6+wJ7dh8jIyGDHtr2cPnkOd083AH6vUpEb128p/DBWlnlpU2rVtWfahLmkSFKIj0tgwawldO3eQaFsGzcXzp25xIE9R8nIyCAi/ACRpy7S0UP6fShjZUmhQoVQUVFBRUWFjIyMAv2wNStdihp1qxE4YR4pklQexCWwOGgZnbvl/kNy2cYF1KhTjSXzVilMa9elNetXbObOrbukpaYxa9J8SpYqRo06VZXKJD0/VWHe5MWkSlJJ+HB+au/VJtfyC9bPoloe56eRvcczwmcc796+Q1tHC119XV69eK1Unq8t8ysO/wb/2T60mZmZjBo1CjU1NbZu3YqJiQkAXbp0YcKECaxbt45t27ZRs2ZNAFJTU9m2bRvW1tJ/ZO3bt6dFixbMmjWLVq1aoaOjQ3h4OGXLlmXWrI+/bps3b07nzp25ceMG9evXVyrjmTNn2LVrFy1atCAwMFA2vlq1anh4eLB+/Xr69++fr+3488+P/3hevXrFvn37+PVXaatBy5YtcXBwYPv27fTtK20Zy8+2ZGVlMWrUKH799Ve2bduGrq4uAJ07dyYwMJAlS5bQsmVL6tWrx9atW7l27Rr9+/fH19dXVm7ixImEheVeufkSZdb/qe3bt6OtrQ1Ao0aNaNCgAdu3b8fVVVoJmz17Ni9evGDZsmXUrVsXgA4dOqCqqsrWrVvp1asXampqBAUF4ezszNy5c2XL9vT0xNPTkylTptCoUSMMDAwKtG25KW1lwZtXb3nx5IVs3L3oOIqXKoauvg7v3ibJlQ/oP5Vnj57j3L6JwrJsfrdGQ1ODkN0LKWFanLjb9wmZuoRr528olcnS2oI3L9/w/JNMsdFxlChVHF19Xd69fSdXfnz/AJ4+ekbz9s65Ls9vyiBOHDzF2f+7QLeBXZXK8jFTaV7nyHQ3+l6emcb0m8TTR89o0V7x8niA30y5v+3rVEFXX4db124rlcnKpiyvXr7myeOPVx2ib96llGlJ9PX1ePs28ZOyZbh5Q375t2/FUN5WvhKtp6fLmElDGT1sMq9fvVEqz4+aCaBOjao0d2qImpoqw8ZNy7Pcndg4rMqUlhtXxsKM6DuxAMTE3qd7548tcYXV1DA3NeHWnbtUr1op33lsbMry8uVrnjx+KhsXfTMGUzMT9H/R4+2bj/vJ2qYsUdej5eaPvhmDrZ10P/1exQ4tTQ32HtmEqZkJt2/FMHl8EOfPXsp3HoByNmV49fI1Tz85dndu3cXEtAR6+rokfvIZL2dThltRd+TmvxN9FxtbKwCWLlrDohUzuXj7KOnp6bx68ZpOrXsqlQegrLUlr1++5umTjw0UMdG5ZwLw8x3Hk0dPcXVzyXVZS+evlv2dnp5B3N14rG2tiDx5Id+ZlD0XjPtwfnLJ5fyUkZ5BRnoGvYd749mvC8nvkhnYVbHRRPh+/rMttNevX+fBgwe0bdtWVgnM1r9/fwD27t0rG9ewYUNZZRZAW1ubTp068e7dO86cOQNA8eLFiY2NZfbs2cTExABQtGhR9u/fT+/evZXOmH15v2dP+ZNLzZo12bRpE56enkpvR/b82ZXZ7G0pU6aMXEtpfrYlKiqKe/fu8ccff5CWlsbLly9lg7Oz9IRw4MAB2baoqKjg6ekplyW7Al0Qyqw/W8OGDWWV2eztNDY2lm17VlYWBw8exNbWVlaZzebn58euXbsoUaIEBw4cID09naZNm8qtNzExkSZNmpCcnMzJkycLvG250dLVJiXHpcnslhQtHcU+eM8e5d3ynZaSRtSlm4zqPo4/q3fk5P5TBIZNp4RpcaUyaetoI8nRmpOdSTuXTE8fPVMYl825TWMsypoRMmO5Uhly0tH9epk+VbGKLdNDJxEyazkP4/O+FJ4bXV0dhcvKKRLp39q62l8sK5GkoKMjX87LpzMP7j9k57Z9SmX5kTMBGBsZoqb2+T6OAMnJErQ0NeTGaWpokPxhG5KSk9HK0SdcOl251kcdXR2Sk5Ll1/1hHTm3X1dPh+Rk+bISiQSdD/szRZLKxQtX8OzkS1XbP9i35wgbti7FzFz+3P3lTNpIcjkeuWbK7dglfzx2aqqq7N11iFp2TlQuW58De44SunY26hrqSmbSITlZft9KZN87bYXyTx49VRj3cVnauX7ecvv+fjaTjpZCa/M/PRcsn7uaupaNWRK0knlhMzExK6FUpq9JdDmQ959toc3ug1qmTBmFaQYGBhQtWpQHDz7eQJBbOXNzc7lljRgxgj59+hAcHExwcDAlSpTAwcEBFxcXqlevXqCMKioqsvV86rfffgPg1KlTSm0HgLGxsUJZdXV1ucuD+dmWe/fuAbBq1SpWrVK8bASQkJAASPvvGhsbo6OjIzfd0NAQIyOjXOf9EmXWn+1L2/7q1SvevXtH6dKlFcoZGRnJsmave8CAAXnme/jw4Re3QRkpyRI0cv6D/vB38jvl+uAtnBgs9/dfIZto6uZMLccabF0ZrkSmFDS1clQqPmRKepec2yy5Mitjiu/Invi49ivQZepPST6TKVmJTJ9q3cmFoRP7s3jmMsJCNig9f3JulSst6T/UpMSkHGUlCmW1tDR5906+XAf3NgRNXah0lh85kzK0NDWRpKbKjUtJTZXdYKWlqYkkJe/p+ZWcLEErxzzaH/ZTzu1PTlIsq6WlxbsP+3P8aPl+oIvnL6dDZ1caOTVg+ZL8X6mSJEkUbuDUyuN7l+ux05YeOzU1NRYsn0G3Dv1kLfXj/adzOeY4dRvU5PC+4/nPlMdnRJopKbdZPrOslFyXpcw5JXs5X+P89KnUlDQA1oVupFUnFxya1GX9kq/fxSw//i1dBb6W/2yF9ks3BmRkZKCu/vEXqoqK4i+Y7GWoqUl3Y9myZdmzZw9nz57l+PHjnDlzho0bN7Jhwwa6d++On5+fUhnT09NRUVGRy/FPtyOvbckpP9uSvW5PT888u1Po6+t/cV2amvm7sz5nRacg6y9U6PMXJbLX8bl9DshuOJs2bRrFiuV+g5Cpqelnl6Gs2Fv3KGL4CwbGBrx6/gqQ3tz19OFThQrIl3gP78axXce5ff3jpcjC6oVlJ+v8irl1lyKGRTA0NuDlh0ylrcx5omQmx+b10S+ix5r9SwHpzRkAh6J2MWPkHPZty/+NlXdu3sUgRyZLKwseJzyRVSzyq1ChQoyYNoSGzRwY7DWSs/93Xqn5s92KuoOhkQHGRY14/kx6+dPKxpKHCY9JTHyXo+xt7CpVkBtXzroMVy5fl/1dqYodxsaG7CrgTVc/aiZllLU0Jyo6Rm5czL372FqX+zDdgpjYOBrUqQHA+/R04uITKGep3N3yN2/cxsjIgKJFjXgm209lSHjwSOEy+s2o21TMsZ+sbMrw96VrAIwYM5Cd4fu4diVKNl1DQ52UFOVajaNvxnw4doY8f/ZSur3WuR+76Kg72P5WXm5cWStLrl6+gbaOFkUMfpFrjc3IyCAzK5P3acr1870dFYOBURGMihry4kOmMlaWPCrA9+72zRjK2lhy9MAJQHoDmbmlKbdvxnxhTnkxt2IVzk+WVhZKn58Alu1YRFjIBg7v/ngPibp6Yd6+TvzMXML/0n+2y0F2ZSP7cvqnsi8flyxZUjYuZysnwN27dwFpS21GRgZRUVHExMRQq1Ythg8fzrZt2zh06BDm5uasXLmS1BytCV9iYmJCZmYm9+/fV5g2atQolixZovR25Ed+tyW7i0OhQoWoXbu23GBnZ8fr169ll/dLly7Ns2fPePNGvl9dSkoKjx8/lhuX/UiVnCf5nE89UGb9+WVoaIi2trasBfZTUVFRDB48mAsXLlCqVClA2gqec93FihVDIpEove4veRCbwN+RV+k3oQ9aOlqUMC1O1wFd2L1+j9LLsrS2oP9EXwyLGlBYvTAeA93R0dPm+N4TSi0nPjaBy5FXGDSxH9o6WpQ0LU73gV3ZsV7xCSCfs2LeWuqXdcaxvAuO5V0Y3HUEAI7lXZSqzEozPeBS5N8MnTjgQ6YSeA/yJFzJTABDJvSjdsOadHH2LnBlFuDe3fucPX2BcVP80NHVxtTMhP5DfdiwdqtC2a0bd1GrTjVcWjdBVVUVl9ZNqFWnGls37JSVsa9Zhat/3yjQzTs/ciZltHB25NzFK+w9dJz09Az2HjrOuYtXaOHcEADX5k6s27yDm7fvkpqaxpzFKzAyNKDq7xWVWk/s3TjOnDrPpGkj0dHVwczchMHDerNuzRaFspv+Cqd23eq0dHVGVVWVlq7O1K5bnU1/7QDApnw5Jk8bSdFfjVFXL8xgvz7o6ekSsUu5z/i9u/c5d/oiYwKGoaOrTSmzkvQd0oNNYYqPv9q2cTc161SlWavGqKqq0qxVY2rWqcr2Tbt4+yaRc6cvMnxsf4yMDVDXUGf4uAG8evGa85HK9euNi43n/JlLjJw0GB0dbUzMStJ7cHe2rMv/FZ9sW9btoEv39ljblkNdQ50hY/rx/NlLzp++qNRyss8Fg2XnpxJ0H9i1QOeCaxdv4DO0G8VNilFYvTA9h3pRWL0wx/crd878msRNYfL+sxVaW1tbTExM2LJli8Jl6YULpZfMGjduLBt3+PBhuYpXYmIiYWFhGBgYYG9vT2ZmJh4eHvj5+ck9KsvExIRixYrJ7iJVRqNGjQBYs0b+GaLnz59n8+bNvH79WuntyI/8boudnR0lS5Zk06ZNCpXSRYsWMWjQIM6ePQtIbygDCA6Wv9S9cuVKhZbX7P69165dk43Lyspi586dcuWUWX9+qaqq0qBBAy5fvsyVK/J3Q69du5bdu3dTpEgRGjVqhIqKCsHBwaSlfWzVTEtLY+TIkfj6+vL69de/A3Zszwmoqqmy4UwYwbsWcPboOVbNkd6dvzd6F41dHfO1nKmDZ5IQ95DlB5aw89o2KteuxKAOfiQWoLXBv8dY1FRV2R75F8t3B3P66FmWzZbe0HH09h6auDZSepn/1DDv0aiqqbLz7CZWR4Ry6kgkS2avBODEnf00bfPl70QRw19o79UG46KGbDq6hhN39suG/MyfUy/PIaipqXHy0l7CD4Rx9NBJ5s6UPlkk6n4krf+Ufkdibsfi7T4A30HeXL17kgHDfPDxGExsTJxsWWbmpXj8mT6IP3Omz7Fv5MqufYcBsDQ3Zd60sSxZvYHazu0IXrGO2QGjsDCT/ths4+KEu5srA0dOol7zDkRFx7Bo5gQKqyl/YdK76wBU1VQ5d+Ugew5t5PChEwTNWATA3YQLtG0nvbHpzu1YPDv3ZcBgH6LjzjLErw/d3ftzN+YeAAN8R3IvNp4jJ7dzM/YMdepVp10rrwLdQOfbbRiqqqocu7CLrfvWcPzwKeYHLgHg6r2TtPpTepPj3Tv38Ok6mD4Du3Mp5hj9hvakj9cwYmPuy5YTG3OfiGMbOX11H+WsLfFs3wdJsvI/TAZ090dVTZWD58PZuGcFJ46cZtGsZQBciD2GS9vcbwbNacu6HawKWc+ClTM5HbWf8nZW9Oo0iPR05bsj+fcYi6qqKuGRG1ghOz9Ju6gdu70XZ9f8fZcXTAnh1JFIlu9cTMTFLdhUtKZP+4Ekvnn35Zm/EdGHVp5KVkEeyvcvceLECXr16oWuri4dO3bE2NiY48ePc/ToUerUqcOSJUt49OgRjo6OGBgYoKmpibu79BmNGzZsID4+nqCgIJo2lZ44lixZQmBgIFWqVKFp06aoq6tz8uRJ9u/fj4eHByNHjlQ644ABA9i7dy9//PEH9erV4/nz54SFhaGnp8fmzZsxMDDI13aoqqry4MEDHB0dcXNzY+LEiXLrcXd35/Lly1y9elWpbTl+/Dh9+vRBV1eXDh06UKJECc6cOUNERARVqlRh5cqVaGhokJWVRd++fTl48CDOzs7UqFGDq1evEhERQUpKCnXr1mXZMumJLzY2lubNm6Onp4eXlxf6+vrs2bOHFy9eEBMTw5AhQ2Q3yuV3/ZGRkXTt2lVu3mwNGzZEXV1ddvPcgwcPaNeuHRKJhE6dOmFmZkZkZCQRERG4u7szevRoAObMmcPixYuxsrKiZcuWaGlpsWPHDv7++2+6deuW62PD8svBJH8V0/+VlKx/9nivbyE965/1tf0WnqcW7M7+/5qYaOVb7b61UmWafe8ICnQKK//ChW9NvdCP11NRT+3H208A5x7mvw9yQewsnvszfguixeO8X3Tzs/jxPpn/Q3Xr1mX9+vUsXLiQtWvXkpqairm5OX5+fnh4eMi9TaRLly5kZGSwYsUK3r59S4UKFRg3bhx16tSRlenRoweGhoasX7+e+fPnk5aWRunSpRk9ejSdOys+szA/goKCqFixIlu3bmXq1KkYGxvTuHFjBgwYIHsklDLbkV/53RYHBwfWrVtHcHAw69evRyKRULJkSXr37o23tzcaGtIO+SoqKsyZM4fQ0FC2bNnC4cOHsbGxYenSpXTp0kVu3aVLl2bx4sUsXLiQhQsXoqurS+PGjWWPwvpUftevjFKlSrF582bmzp3L9u3bSUpKwszMjHHjxuHm5iYrN3DgQMqVK8eaNWtYtGgRKioqWFhYEBAQQNu2uT/zVBAEQRCEr+8/3UIr/Bisra3lWmgF0UKbH6KF9uclWmjzR7TQ5s9/tYU2vHinr7asVo/XfbnQD+7H+2QKgiAIgiAInyVaI+WJCu3/UEpKComJ+bvppnDhwhQpUuQbJxIEQRAEQfj5iQrt/1BERAQjRozIV9nq1asrPN1AEARBEAQB/j2P2/paRIX2f6hu3bqsWLEiX2Xz80KCf4tbt2597wiCIAiC8FPJVPJRoP92okL7P/Trr7/KnrEqCIIgCILwb/D8+XNmz57N8ePHSUxMxMbGhn79+sk9CSo/Xrx4gYuLC2XLllX6KvV/9sUKgiAIgiAIP6usrzj8E0lJSXh5ebFr1y5cXV0ZNmwYEokEb29vTpxQ7k1qo0aN4uXLlwXKIVpoBUEQBEEQfjI/Sh/atWvXEh0dTXBwMH/88QcArVu3pnXr1kyaNIm9e/fm602pGzZs4P/+7/8oVKhgba2ihVYQBEEQBEEokPDwcMzNzWWVWQAdHR3at2/PvXv3+Pvvv7+4jLi4OKZNm0bv3r1RK8DrqUFUaAVBEARBEH46mSpfbyioxMRE7t69y2+//aYwrWLFigBfrNBmZGTg5+dHmTJl6NWrV4GziC4HgiAIgiAIP5lMvt5TDhwdP/92ykOHDuU6/smTJ2RlZVGiRAmFadk3wSckJHx22YsXL+bmzZts27atwK2zICq0giAIgiAIP50f4U1h2S+L0tJSfP2wtrY2ABKJJM/5r169yuLFixk+fDiWlpb/KIuo0AqCIAiCIPyH5dUC+yWZmdJb03K76SsrKyvPaSB9e+qwYcOwt7fH3d29QOv/lKjQCsIP6P0Pc/+q1MOUF987goLsk+WPZLBe5e8dQcH7H/DZ66XKNPveERQ8iIn43hEUaJWs970jKOhQosb3jqDACsXWwf+Cf9L39WvR0dEBpJXTnLJbZvX09HKdd8aMGTx+/JigoCBevXolN+39+/e8fPkSDQ0N2Tq+RFRoBUEQBEEQfjI/QrNHqVKlAGlf2pyePn0KkGv/WoCjR48ikUhwdXVVmHbp0iVq1aqFq6sr06ZNy1cWUaEVBEEQBEEQlKarq4uFhQVXr15VmJY9LrcnIADMnDmT1NRUhfE9e/bE0tISf39/pd6uKiq0giAIgiAIP5kfpdOVi4sLCxYs4Pjx4zg4OADSt4dt3LiRMmXKyB7flVPVqlVzHa+iosIvv/xC7dq1lcohKrSCIAiCIAg/mR+hDy2Al5cX4eHhDBgwAE9PT4oWLcrGjRt5+PAhS5Yskd0UdunSJe7fv0+dOnUwNjb+6jnEixUEQRAEQRCEAtHV1SUsLAxHR0fCwsKYOXMmWlpaLFu2TK6VdcOGDfj5+RETE/NNcogWWkEQBEEQhJ/Mj3BTWLZixYoRGBj42TLTpk3L1w1eufXHzQ9RoRUEQRAEQfjJ/EgV2h+B6HIgCIIgCIIg/NREC60gCIIgCMJPJusHuSnsRyFaaAUhF/7+/lhbW/Ps2TO58XFxcd8pkSAIgiB8lPkVh38D0UIrCLlwc3OjVq1a6Ovry8b17NmTzMxMli5d+h2TCYIgCMK/pyL6tYgWWkHIReXKlWnVqhUaGhqycceOHSMr60d5lLUgCIIgCNlEhVYQfiIGRkWYtmwS+2/sZM/V7Qyc4Iuq6ue/xg2aObD5VFie01t0bMbphCMFzmRkbMjSNXO5HnuKK7f/j/FThqOqqppr2YaN6nHwxFai489y5MwOHJ3qy01393LjxPkIbt0/y8ETWxWmK5Np2dp53Lh3mqt3TjBhin/emRrX4+DJbdx+cI6jZ3bQqIn8Ort2c+PEhT1Ex5/j4MltCtPzS8tIn1ZLBuJ7NYQ+lxfTYFwXVHI7dioq1BrUhp5n5tIvaild90/FyqWG3PR+UUvpf3Mp/aI+DmpaGorL+gJtI33ahA5k4JUQ+l9ajOPYvDPVHdiGPqfnMvjGUrrtm4pN8xqK5YDfOjTAP26t0lmyGRsbsjJsAdFxZ7lx9zSTpo7I89g5Nnbg6KkdxD68yP+d3U3jJg0+iazC3YQLxD68yN2EC7JBW1urwNlevnpN0/bdOHvxSp5ljp86i6t7b+wdW9OiU0+OnoyUm748bBOOrbtg79gaz75+xMY9KHAegKbODbl08SBvXt3m6pWjNG/WKM+yhQoVYvrU0STEX+bVi1ts3bKc4sUVXy1qbGzIzRsnqO9QS6ks+ka/MDB0OCFX1rD40kq6jO1GoTzOTw07OzHz8HyWXA9j5pEFNHJ3lk3T1teh95wBLL60kiXX1jJi3XjMKlgolUW2LCN92ocOwu9KKEMvBeP0mc94/YFtGHB6Hv43luGzbxoVPvmMq2oUxmlsFwaemY/f1SV03z4Bi1oVCpTpa8n6isO/gajQCnJOnDhBz549qVmzJra2ttSoUYNevXoRFRUlK2Ntbc306dPZsWMHrVq1omLFitStW5dJkybx7t07ueUlJycTFBRE48aNsbOzo06dOvj5+REfHy9Xzt3dnTZt2nD16lU8PT2pXLkyVavRZedLAAAgAElEQVRWxdfXl9jYWACysrJo2LAhtWvXJiMjQyF7kyZNaN26NSDtA1ujRg1iYmLw8fGhcuXK2Nvb4+fnR2JiIlevXsXd3Z3ff/+d+vXrExgYyPv372XL+rQPbWRkJNbW1rL9Y21tzdatW+nSpQt2dna8fv1aIYuXlxe1atWSW+bXMCl4LJIkCS2q/En35r2pVrcqHXq0y7WsqpoqnXt3YNKiMRQqlPtXvbSVBQPG+/6jTIuXBZKcJKFqhYa4NOpI3fo16dGnq+K6LM0IXTWbmVMWUN6iFrOmLSR4eSDFS0j/of7ZoSWD/HrTt6cf1mbVmR+0hNBVsylWvKjSmYKXzyIpKZkq5f+guWMH6jb4XKY5zAyYj415zQ+ZZskytevQikF+fejbww8rU/sPmeYUKJPLwr6kJaUSYt+PsJZjMa9rS1XvpgrlKns0okLbumxwC2B+eW9OTN9A8/m+/GIuzWRUzoRCaqosqOjD/PLesiFdovhO9C9ptbAvacmpLKjej1Utx2JR1xb7XDJV9WiEXdu6rHMLIKiCN8emb6DlfF+KmMlXhozLmeA4prPSOT4VumI2SUnJVLJxoGnDdjg0qIWPr4dCudKW5ixbM4/pAXMpa2rPzKnzCV05W3bsrG3Kola4MFbmNbA0qSobkpMlBcp18cp1OvsMJj7hUZ5l4uITGDQqgL493Dm9bwu+3bswdMxUnjx7DkB4xAHCNoUTEhTAiYiN2FqXY9CoyQW+8lO2bGk2bghl3PiZGBrbMGHiLNavC6ZkyeK5lh81cgCNGtenRq1mmFlURSJJITRY/tmhtWtV48TxHZQtW1rpPH0XDiY1OYV+1bsztuVwbOv+RlPvFgrlqjpVx214F4KHzKeHbWdChsyj3bBO2DetCYD3jD5o6WozpH4fev3uQczl2wxeMkLpPAB/LuxHWnIKQdX7srTlGCzr2lEzl8+4vUdjfmtbj9Vuk5lWoTuHp2+gzfy+GHz4jDsOd8O0mhXLXccxs1JPLv51lA7Lh6Bf0qhAub6GTJWvN/wbiAqtIBMREYG3tzdv376lT58+jB07FicnJ06cOEH37t1JSUmRld23bx8TJkzAwcGBMWPGUL58edauXUtAQICsTFJSEl26dCEkJIRKlSoxcuRIWrRowb59+2jbti137tyRW/+jR4/w8PCgRIkS+Pv706pVKw4fPizru6qiokLr1q158eIFp06dkpv377//5t69e7IKLUBKSgpdunTBwMBAVsENDw/H19eXbt26YW1tzciRIzEzM2PJkiWEheXeilmmTBlmzJgBSCvzM2bMwN7eHldXV96/f8/evXvlyj958oQzZ87g4uJC4cKFC3YwclHKoiRVa1dmYUAIqSmpPLz/iBVz19DWq3Wu5eeun0nV2r+zZuG6XKdraGowadEYNi7bUuBMFqVNqV2vOgHjZ5EiSeF+3APmBobg6d1RoeyfHVoReeYi+yIOk5GRwa7t+zhz6jydPaQV8l59PQmcOp/LF68BEL51D62adCYx8Z3Csj6fyUyaadwnmWYG49Wjk0LZdh1bc/b0BVmmndv3cfqTTD79PJk5ZT6XL0of9B2+JYKWTp1ITExSKlMR82KY1a7A8anrSU9J4839Z5yZt53KHo0Vyl5adZBVjUfwJu4pqupqaBnq8z45lXRJGgDFK1ny/GY8me8Vf9Qpm8m8VgWOTvmQKf4ZJ+dtp2pXxUwXVh1kmdMIXt+XZtI2kmZ6n5ImK6OmqU7LBX05v2JfgTNZWJpRx6EGE8cGIpGkEHfvAUEzF9Oth2Il2a1TayJPX2DP7kNkZGSwY9teTp88h7unGwC/V6nIjeu3vsqPyvCIAwwfP4P+PRUr1nLl9hykSiVbHB1qo6amirOjA9UqV2RT+B4ANu/ci5urC2UtzdHQUGdgby8ePXnKuc+0+H5OV/d2nDhxlh079pGRkcHmzTs5fvw0Pbxz/1HRzasTMwMX8uDBQxIT3zFo8Ficnf+gdGkzANzd27Fm9ULGjJuhdJZi5sWpUKsi66esJi0ljWfxT9g+bxONuzZTKGtQzJCdi7YRcykagDsXo7lx+ho21aUtngv7BjHfN5Dkt8loaGuira/D25dvlM5kYF4Mi1oVOPjhM/46/hnH523HvquTQtlzqw4Q7OTPK9lnXE/uM15YU51jQVt4++glWZlZXPrrCBlp6ZSoqHzFX/g2RIVWkAkJCcHExITVq1fTtWtX3NzcmDRpEl27duXFixdERn68dPbw4UPCwsIYMmQI7du3JyQkBAsLC3bt2iX7B7J8+XKuX7+Ov78/gYGBdOrUCX9/f1atWkViYiLjxo2TW//Lly8ZPHgwU6dOxc3NjbFjx9K2bVvu37/PxYsXAXB1dUVFRYWdO3fKzRseHo6amhotWnxsDUhJSaFVq1ZMmzYNNzc35syZg9H/s3fmcTVmfxx/p32zVWNISqVCjMaubCGMNSJKdmMn+76NNUuWbIPJzpA1S3aJSghjRlpUkvhlzdIipd8fty7XvZluMpg5b69eL/ec73Oez/M83+e533vO95zHwICwsDDGjBnD1KlT6dq1K2vWrEFdXZ3AwECF58XQ0JAOHToAYGRkRIcOHTAxMaFVq1bo6OjIaTl8+DBv377F2dm5cBciHypaVeT5s+c8Tn4iLbsTfYey5b9Hr7iunP2sEfMY7TGRewn3FbY3dt5Igk+Fcvl8eKE1WdlY8uxpCsn/e7caRExkLOVNylG8uL6MrbWNJZER0TJl0VGxVK5qhZa2FlY2lmRnv2XP4U38efsCB45tQ0dHm7RU5XrUrGws5DRFRynWZGVjQWREjExZTGQsVWyt0dLWwtrGkuzsbPYe2cxfscEcPL4NHV1t0lLTlNJkYGVM+rOXpCa/681/Ep1E8fKGaBbXkTXOySEr/TWmDW0ZEeVLy0X9CV6yh9SHkm2//8EcNS113A/9wuBrq3H1m0q5mpWU0gNglKvp1cP3NMUkUSIfTW/SX2PW0JYxkb78tLA/59/TBOA0uzexp6+RcOGm0lrysLGx5OnTFJL/91BaFh0Zi0kFY4qXkPenWzc/8KfIWKraSkZTavxoi7aWJsfO+nEzNoQDR7dSq45doXTZ161JwG5fWjf/eLrJ7fgErCxkAxwLswpE35aMMsXG38XKwkxap66mhqmJMVG34wqlq0oVK/76K1Km7NatGKpXlx8KL15cHxOTcjL2Dx8+5tmz51SrVhmAEycCsbJpgJ+fv9JajK1MePnsJSkPn0nLkmISMSxvhM4H/nRq6zEOr93/TptBCWzqVCH+T8l5yM7K5s3rN3QZ58baPzbToENDts3yVVqTkVV50j7w8ccxSZT8iI+bN6zGpMiNtF84gLNL/KTbHpnsy+3AP6TmZg2qoKmvQ3LEl1v5RqxyIIsIaAVS9u7dy549e9DQ0JCWpaWlSXsZU1Pf9UpZWVlhY2Mj/VysWDGqVq1KZmYmL1++BCS9uCVLlsTDw0NmP3nD/FeuXJFbFuv9gBTA1tYWQGpnYmJCrVq1OHXqlLTH+M2bNxw9epSGDRtiYCA7/PPTT+96B9TU1DA1NQWgdet3Q056enqULl2ahw8fogy6uro4OTkRHh7O/fvvgsaDBw9iZWVFlSpFm1+lo6dNelqGTFlG7jCztq58XuCjB4/zbatlp+aYVTJl3SLlvyTeR09PV24INz1dolFXT/YLQ1dPh3QFtrq6OpQsWZxixYoxcFhvJo+dzY+Vm3BgzxG27l5LeZNyymnSV6ApTbGm/PS/r2nQsD5MGvMLdjZN2L/nKNt2/6q0Jg09bd6kyaYESHt+dLQUbnMvLJJllr3Z4+6Fw1gXrNtJ8vmyMjJ5cC2Wg/2Xsr7eSGJPXqXz1vEUN1EuDUJDT5vMDzXl9gJr5KMpMSySRZV683sPLxqOdcEmN7e3qrM9BpblCFqyRykNH6Krpyv3YyEtXXJ9dHU/uHb6uqSlydqmp6dLr3FG+muuht+gt9tQalZtyvGAs+zat4EKpsZK6zI0KI2amuI8Xhmtaeloa8nmMmtpakqPITUtDW1tLQX1svd1QdHX0yM1Tf586enK/8DV19eTaPjw/Kalo6cnsU9OfqQwnasgaOtp8/qD51Nm7vNJ6yN5yyWMSjJu81Ti/4wl5GCQTN2BFXvoa92N/ct3M37LNIxMyiilSVNPS/6+y9WUn48nhN1ibqVebOuxgKZju1ClbT05G2M7S1xWj+Dcsr2kJD5S0Mo/gwhoZREBrUCKmpoaCQkJ/PLLL/Ts2RNHR0dq1qzJr7/+CiCT52VoaCi3fV4gnPdATExMxNTUFDU1+dXhKlWS9CglJSVJy9TV1SlRooTCNt++fXfLOTs7k5qaypkzZwAICgri2bNnCntEjYxkv+TV1NQU7kdNTU1mHwXF2dmZnJwcDh8+DEBkZCRRUVFF3jsLkJGWgdaHX4a5E4HSXhW8F7OChQlDJv/M9CGzyc7+tEdZWlq63Bd03udXHwzLp6Wlo6WtLWeb+iqN168lgdT61VuIjozlzZssNm3Yyb1793Fs0VA5TakKNOV+eb16Ja9Jkf5Xr1Klmtat3pyr6Q2b1u/gXuJ9mjk1UkrTm7TXqH8waUtdS+Lbmfn0QGdnZpGT/Za7wTeJ2BeMTYcGAJybs4MT4zfwKvkZWa/fcGXdUV7cf4K5Y41P16RdME0JwTe5uT+Yqh0aUNq8LI0nuOI/YhU5ReFPHwQ/Ork+I3ftUuVttbW1pX43c6oXo4ZN5X8PHpKR8Zo1Pr7cu3ef5k5NPknjx9DW0iL9tWwAlfH6tXQimraWFukZ+df/HRMnDCflabT0T0VFRXp+8tDR1ublK/k0nbxA9sN96ehoK53Wo4jXaa/R/MCfNHI/p+fjTxZ2Vvziv5AHcUl495/P2w/8583rTLIyswjYcIgn9x9T06m2UpoyFfq45PPf+Xh88E1u7L9Atdz7Lg+7bk3w2D6JCysPcn7FAaX0CD4vIqAVSFm1ahWurq4EBwdjbGxMjx498PX1Zfr06XK2Kip/n0X+sYkOeUHv+73BBWkTkA71+/tLhsX8/f0pWbIkTZs2lbNVFEwXdD8FoW7duhgbG0vTDvz9/VFVVZXraS4KYqPiKVm6BKUMS0nLzKzMSL7/kFQlcjqbtmmEfgk9Nh9fz4mIQyzePB+AExGHcOrYTClNUbdiKG1QCkOjdz3jlWwsuJ/0P7kvyahbt7G2sZAps7K2IDIyhmdPU3j08AkaGrI5x6rFiil9vRRpsrK24H7SA16++FBTDFaVLWXKKtlYEHXrdq6mx2hoasjUq6oWAyU1PY5KRLu0PjqG79Y1NrAy5uX9J2S+lP1ibTzVjcZTZfN9VTXUyEiRXGP7cV34rqrpB/XqZL2Xz1oQHkUlovOhpkrGvLj/hNcfaHKc6oajAk3pKalY/1QbrRI69DkyB88bv+LiOwYAzxu/UqWDcrPkIyNiMDAohdH7187GgqR78tcu8lYM1jay187KxoLIW5IUkknTPLGtXlmmXlNTQ2YuQFFjaW5KbPxdmbLYO3epVNEst96M2Ph3Q9RvsrJISEyikrns9cyPBV4+lCxtJf0Lu3SVKlWsZGwqV67EzZtRctumpDzn3r0HVKliLS0rU8YIA4NSCu2VJTHqLvqli1Pc8F1ngXElE57cf0z6S/kUnUZdHZm0YybHfA+zesQysjKzpHXT982j9k+yvqOmoU5qinKBd56P677n44aVjHmuwMdbTHWnxVTZ3GM1DXXSc/epUkyFNvP64jjelV0DvLm4IUApLZ8DscqBLCKgFQCSCVk+Pj7Y29tz5MgR5s+fT9++falfvz4vXrwoVJvly5cnISGBrKwsubrY2FhUVFT4/nvFs3E/Rt5Qf3BwME+fPuXcuXP89NNPMsHxP0XeRLXo6GgSEhI4fvw4Dg4Ocj3DRcG9+CSuh93Ac9ZQdHS1KWvyPX1GenBo51Gl2tm8YjuOlX7CqUo7nKq0Y2wvyexhpyrtOHHgtFJtxcfdJSw0nJnzJqCrp4NJBWNGjh3I79v2ydnu3X2I+va1aduxJaqqqrTt2JL69rXZu0vyY2Dbpt14jhtMFVtrVFVV6fuzO9+XLcPxo2cKpWnW/InvNI0bxM6t8pr27JJoaperqZ1Uk+TH0taNuxk1bhBVbW1kNR1R7jyl3Enm3qUoms7wQF1Xi+ImRtQb0ZE/d52Ts70XFskPPRwxrmMNKiqYN7fDpn09/twpWVrN0Lo8TWd6oGNUAlUNNeqN7Iimnha3j11RStOzO8kkXoqi+XQPNHS1KGFihP2IjtxQoCkxLJIa7o6Y5GqybGZH5Xb1+OP3s4Su9Me7cn+WVR/IsuoD2dN3CQDLqg8k4mCoUpri4xK4GHKF2Qsmo6unSwVTY0aPG8yOrfITF/1+P0gDhzq0d26Fqqoq7Z1b0cChDn6/S66dTeVKzFkwGaPvDNHQUGf0+CHo6+tx9PAppTQpQ7tWzbh89QbHTgeRlZXNsdNBXL56g3atHAFwbuPEjj3+RMbE8fp1JsvWbMSgdClq1qhWqP1t276Hxo3r4+LSDlVVVVxc2tG4cX22bVc80XPzll1MnjQCMzMT9PR08V4yi3PnQoiL+/Q80OQ7D4i6FIHH9L5o6WphZPIdHUd04dwu+Xuldut69JkzkOUDFxKwXj5fN/ZaDJ1HuWJgbISahhqdRrmirqFO+MnLSml6eieZu5ciaZnr4yVNjGg0oiPXdwXK2SaERVLT3ZEKdWxARQWrZnZUbVePq79L7jun6R5YNvmBDe2mER9c+DzxokSsciCLCGgFAKSkpJCTk4O5ublMr2ZKSgp790oejooC04/h5ORESkoKW7dulSm/ceMGQUFB1KpVi9KlSxdKr7OzM5mZmXh5eZGenv5Zhvg/pFixYgp7nfMmqq1evZp79+7JrLRQ1Ez+eSZqaqrsvbiTDYdXExZ4iY3LJOf3dPRRnJzzX4PyczGw92jU1FQJvXacQyd3EHg6mGWL1gIQdfcSzi5tAIiNiaefxwiGjxrAzbgQPMcN4udeo4iPlXyZenutZo2PL2t+W0xEfCidurajp+tg/vdAudxmgJ97jUJNVZWL109w+NROAk9dkGqKTryMc5f3NPUYwfDRPxMRH4rn+MH83MuTuPc1rfBlje9ibt25SGfX9ni4DiqUpkODlqOiVowBwUtxPziTO4E3uLhcMjFm+K0N2HSUDG3GnrzKmelbcFrYn2F//kr9kc4c/Hk598MlPY/Hx6wjJeEhPY/NY8gfazGpVxk/twVkPFdu5QWA/YOXU0ytGIMuLKXngZnEnbtB8AqJptERG6iSqynm5FVOzdhCa6/+eN74FfuRzuwfuJyk8JiPNV8o+vcciaqaKpdvnCLg9G7OnL6A98LVAMQlhdO5S1sAbsfE09t9GCNHDyQ64RJjxg+hn8cI4mLvADBy6GTuxCdyNvgAkfEXsW9Yhy4d+pDyTPnZ8h+jdnNnDh+X/OgyNzVhxYLprN+yiwaturB24w6Wzp2CWYXyAHRq64SHqzOek2fTsE03bkXHsnrRLNQVjCQVhKioWDq79GPihOE8fhjB1CmedHX9mZgYyeSq7t2dSXn6buLc7DlLCQg4TeCZ/STEX0FLS5NuboM+8Qy8Y/ngRRRTU2XphbXMPODFjXPX2L/CD4ANEdtp0FGSquM8siuqasUYuXYcGyK2S//6zB0IwC6vrfwReI2Z++fjE7aBitUsmNd9OmkvlPdxv8HLKaamyogLy+h3YBax524QlOvjEyN+wzbXx6NPhnNsxhbaefVn/I11NBzpjN/AZdwLj0G7lB61e7ZAz6gkg096MTHiN+lf3vaCL49Kjnj1kQDIzMykTZs2PHjwAA8PD8zNzUlKSmLv3r08f/6c169fM336dNzd3bG2tsbBwYHffvtNpo2JEyeyf/9+Lly4gJGREa9evaJ79+5ER0fTrl07fvzxRxITE9m5cydqamrs2LEDKyvJcJmHhwfXr1/nzz//lGlz3759TJo0CW9vb9q0aSMtz8nJoVmzZiQlJWFubk5AQMBHteSR334cHR3R0NCQLsGlaHsHBwcyMzMZNWoUtWrVkuYBA/To0YPLly9TvHhxLly4IPOGscJQ31g+feJLkpj+5SY+5MfX+OgarV+4WfSfkzdfYe/L0hTlepP/Ce7FKjfS8U+gXU65/PF/gm5lFb9Q40tiReFflvE5mZ6Q/wttioIFpj2KrK1PeRnK14LooRUAklzW9evX06hRI/bv38/cuXMJCAigefPmHD58GHV1dS5cuKBUm3p6euzcuZO+ffty9epV5s2bx+HDh2ndujUHDhyQBrOFQUVFRdor+0/0zgKMHz8eLS0t5s6dy4kTJ2TqOnXqBEhWT/jUYFYgEAgEgr9D5NDKInpoBd8sq1atYtWqVZw9e5YyZZRbzqWoOXDgABMmTGD37t388MMPn9ye6KH9e77GR5fooS0Yooe2YIge2oLxX+2hnWv6aW/le58pn1nrP4HooRV8k6SmprJ3714aNWr0xYPZrKwsdu7ciZWVVZEEswKBQCAQCJSjcJnoAsEX4sqVK+zYsYO//vqLBw8esHTp0i+mJT4+nhUrVhAbG0tUVBTLly//YloEAoFA8N/i3/JChKJCBLSCbwodHR2Cg4NRV1dn7ty5X7RHtHjx4ly6dImsrCxGjx5Nq1atvpgWgUAgEPy3+PqSrr4sIqAVfFNUqVKFsLCwLy0DAAMDA4KDg7+0DIFAIBAI/vOIgFYgEAgEAoHgG0OkHMgiAlqBQCAQCASCb4x/yxu+igqxyoFAIBAIBAKB4JtG9NAKBAKBQCAQfGO8FdPCZBABrUAgEAgEAsE3hghnZREBrUAgEAgEAsE3hpgUJovIoRUIBAKBQCAQfNOIHlqBQCAQCASCbwyRQyuLCGgFgq+QZ29efWkJMuir6XxpCXI8ykj50hLkmPP04peW8E1QSkv/S0uQQ7tcwy8tQY70++e/tAQ5ylv89KUlyHEo+82XlqCQ6Z+5fRHOyiJSDgQCgUAgEAgE3zSih1YgEAgEAoHgG0NMCpNFBLQCgUAgEAgE3xgih1YWkXIgEAgEAoFAIPimET20AoFAIBAIBN8Yon9WFhHQCgQCgUAgEHxjiBxaWUTKgUAgEAgEAoHgm0b00AoEAoFAIBB8Y+SIpAMZREArEAgEAoFA8I0hUg5k+VekHNy9e7dQ2+3btw9ra2uOHDnyj25bFOS3/+TkZDIyMqSfJ06ciLW1NY8ePfrs+1aGwl6zT+VznA+BQCAQCP5p3pJTZH//Br7pgPbVq1d069aNDRs2fGkpXwX79++nZcuWvHz58rPup3bt2ixcuJAaNWoove2Xvmaurq4sXLiQ4sWLf5H9CwQCgUAgKHq+6ZSDlJQUrl27hpWV1ZeW8lUQFhZGenr6Z9+PiYkJJiYmhdr2S18zOzs77Ozsvsi+BQKBQCAoKv4d/apFxzfdQysQ/NcobViKlZsXcSnmDKG3TjJp9mhUVVUV2jZq1gD/wJ1cjQ/iyIXdNGnhIK1T11BnzLRhBF4/TFj0aXw2LeT7cmUKrcln8yLCYk4TcusEk2aPyldTHi3aNuXE5f1y5f2GeXD2+iHC48+xef8azCwqFEqToWFptuxYTezdK0TFhzFnweR8NTV3akxQ6CESHlwn5HIATq2aKLTr0bMLj19EF0oPgKFRabbtXMOde1e5nXCJeV5T8tXUwqkxwWFHuJd8g4vhx2jZqqm0rkTJ4vy6YQm3Ey6RcP86Bw5vwbZa5X+NJgPDUqzd4s312CCuRJ1h2pyx+Wpq0tyBgKDd/JUQwomQvTg6NZTWaWppMmfxFMJunuTa7XNs27cWmyqVCqUpj9atHLl29RTPn8Xw541A2vzUPF/bYsWK4TV/KkmJ13n2JIp9e335/vvv5OwMDUsTGXGBxo3qF0rT02cptO7al0tXb+RrExRyCWePwdRu1pF2bj8TGBwmU++73Y9mHXtQu1lHeg8bT3zCvUJpMTQszabtK4lOuEREXCiz50/K99o1a9GIwBB/4u9f5fylI7Ro2URap6KiQlxSOPH3rxKXFC7909HRVl6TkQHbd64l4d414hIuM99r6kd8vAkhYUe5n/wnl8KPy/h4yZLFWbdhCXEJl0m8fx3/w1upVkgfLypEyoEsSgW0Hh4edOrUievXr+Ph4UGNGjWoX78+c+fOJTMzk/Pnz+Pi4kL16tVp1qwZvr6+Mtvfu3ePCRMmYG9vj62tLU5OTvj4+JCZmSljY21tzdatW9m0aROtWrXC1tYWR0dHli1bxps3bwBJHmezZs0A2LVrF9bW1oSFSW7S169fs3btWpydnbGzs8PW1pbmzZvj5eVV5D2YqampzJ07FwcHB6pVq0aHDh04fPiwnF1Bjv1TtDs6OrJ/vyRAcHBwwMPDQ6Y+ISGB4cOHU6tWLezs7Ojduzd//fVXoY75wxzaorhmAKdOncLNzU3ai+ru7s65c+dk9u3j44O1tTXnzp2jRYsWVKtWjeHDh1O/fn06dOggpzUzM5PatWvj5uYGKM6hzcrKYsOGDbRt25Zq1apRt25dRowYQWxsrNTGxcWFunXr8vbtuzT8x48fY21tTaNGjWT2mZiYiLW1NWvWrCnU+f0YS9fNIy01nUbVW9OlVW/qN6pDr0Hd5exMK5qwwteL5V5rqW3ZFJ+F61i6fj7ffW8EwJipQ3Fq60h/1xE4VG1JQlwivn4rUVdXftDGe91c0lLTaFz9J7p+RBOAmpoq/YZ5sOTXuRRTUZGp6+Dahh79uzLAdST1bVpw80YkK3y9lNYDsGHTMlJTU7G1dsCpqQuNmzRg8NDecnbmFqZs3OrD/DnLMS9fE695K9iwaTnfl5UN7q1tLJkzf1KhtOThu3kFqalpVK7UgGaNO9OkqT1DhvVRqGnz9lXMnb0U03J2LJi7At8tKyibq2nFqnno621f0BQAACAASURBVOvxY/VmWFSoxdUrN9ixa+2/RtOKDV6kpaZRz9YJZycPGjSuS9/B7nJ2ZuYVWL1xEd7zV/ODeUOWea3FZ4MXZXJ93HP8QMwsKuBk35k6lZtx62YMazYvKZQmAEvLiuzetY4ZMxdR2tCGWb8sYeeOtZQr971C+ymTR9K8RWPq1v+JCmY1SU/PYN3axTI2DerX4kKQP5aWFQul6eqNm7gPHE1i0oN8bRISkxg1ZS7DBngQenwvQ/v1YOy0+SQ/egzAwaMn2e53kF+953Lh6G6qWldi1JQ55OQoH+Ss27iU1NQ0frBpRGvHLjRqUp+BQ3vJ2VU0N+W3rSvwmrscS5PaLJrvw7pNS/m+rCTgt7axRE1dHSvTupgb15T+paUp//29cfMKUlNTsalUH8fGnWjS1J6hw/rK2ZlbmLE118dNytVg/tzlbNriI/Vxn1Xz0dfXw666IxUr1CL8yh/s2PWr0noEnw+le2jv379P3759sba2ZuLEiVhaWrJlyxaGDh3KqFGjsLe3Z9KkSejp6eHl5cXJkycBiI+Pp3PnzgQFBdG1a1cmT55MjRo1WLVqFf379ycrK0tmPxs3bpQGGVOnTsXIyIg1a9bw668SB6pduzaTJkm+YOrVq8fChQuxsLAAYPjw4axYsYIffviBSZMmMXbsWAwNDfH19WXJksI/0BQxf/58wsPDGThwICNGjODJkyeMGTOGkJAQqY0yx15Y7ZMnT6ZWrVoATJ8+nUGDBsnUDxgwAIBx48bRrVs3rly5Qp8+fXj69GmRnYtPuWa//fYbQ4cORUVFBU9PT4YMGUJqaioDBw7Ez89Pbl9jxoyhZcuWjBs3jjZt2tC2bVsiIyOJiYmRsQsMDOTFixc4Ozsr1JyTk8Pw4cNZvHgxNjY2TJ48GTc3Ny5fvkyXLl24desWIPnBkJKSIvMjIO8aJycnEx8fL7NPQBq8FxUVKpanrkMtFs9aQUb6a+4lJLHG+zfc+3aVs+3o2obwsOucDjhHdnY2x/xPcTn0Kq49JeehTadWrF6ygdtRcbx5k4X3nFWUKfcd9RrWKaQmn1xN93M1dVFov2G3D3Xsa7JhxWa5ui49OrBz415uR8WR+ToT79krKVu+DHXsayqlqaJ5BRwa1WPWtEWkp2eQcCeRJQtX0+/nHnK2rm7OXAy9QsCRU2RnZ3NwfwAhwZfp1cdVaqOtrcX6jUv5de0WpXTIajKlYaN6zJjqJdW0yGslAwZ6yNl2d+9EaMgVjh6WaDqw7yghFy7Rq283APr18qRPz+G8eP4SXT0dSpTU5/Fj5e/jr1GTaUUT6jvUZsGs5WSkZ5CYkMTKJevp2a+bnG0n17ZcvniNkwGBZGdnc/TgScJCrtK9V2cALKzMKVasGCoqKqioqJCdnU1GeoZcOwWlp0cXLly4hL//cbKzs9mz5xBBQaEM6C8fbAP07ePGosWruHfvPi9fvmLU6Om0atWUihUlow4eHl3YumUV02YsLJSeg0dPMmHmQkb8LB8wytgFnOLHH6rSrFED1NRUadWsEbXsquF3MACAPYeO4ercFktzUzQ1NfAc3IcHyQ+5/JEeX0WYmVfAvlFdfpm+ONef7uG9aA19B8ifH1e3joSFhhNw5DTZ2dn47z9GaPBlPHpL7rsaP1Yj4maUtDOksJibm9KoUT2m5/r4nY/4uJt7J0JDLnPk8Emys7PZv+8owRcu0TvXx/v0GknvnsN5/vwleno6lChZnCeF8PGi5G0R/v0bUDqgffbsGaNGjWLq1Kl069YNHx8f1NTUCAoKYunSpYwaNYru3bvj7e0NvPty/+WXXwBJL93IkSNxc3Nj4cKFzJgxg7CwMPbs2SO3n3379jFs2DC6devGxo0b0dfX58CBA4Akj7N5c8lwj6mpKR06dMDQ0JBbt25x7tw5+vfvz8yZM+natSu9e/dm69atlClTpshXJTAzM+P333/Hw8ODAQMGsGjRIgCOHTsmtSnosX+K9ubNm0vzWp2cnLC3t5epd3Z2xsfHB1dXVyZMmMCAAQN48eKFTOD9qRT2miUlJeHt7U2rVq3Yvn07vXr1YsCAAfj5+VGzZk3mzZvHs2fPZPbVrl07xo4dS8+ePWnVqhWdO0u+xA4dOiRj5+/vj7a2Nq1bt1ao+dChQ5w5c4Zp06axePFiunfvzsiRIzlw4ABqamrMnDkTkAS0AMHBwdJtQ0JCKFu2LIBMT3NgYCAmJiZFnidsaW1OytMUHiY/lpbFRsdhbFIW/eJ6srY25kTfipUpi42Ox7qqZMhVtVgx0t/r7cjJyYGcHMwrmRZC03MevafpdnQ85RRoApgwdCYDu3ty9478kKaltTnRt25LP2dlZZMQl4hNVeWGiW1sKvH06TP+97+H0rKoyNuYVDCmeAl9OdtbN2XTCKIjb1PV1kb62WvJDE4cCyTobOHvFZvKlXj6pICaKlci4maUTFlk5G1sczVlZWXx+nUmU2eMJu7uFVy6tGfyhDn/Ck2VbCx49jSFh/97N4JyO0qxj1eysSDqPX8BuB0dh01VyX23YfVWrGwsuBoTyF93Q3Du0oZh/SYorSmPKlWs+OuvSJmyW7diqF69ipxt8eL6mJiUk7F/+PAxz549lw5TnzgRiJVNA/z8/Aulx75uTQJ2+9K6eeOP2t2OT8DKQrYH2MKsAtG3JT/CY+PvYmVhJq1TV1PD1MSYqNtxSumxsbHk6dMUkt/zp+jIWIX+ZG1jqeC+i6WqrTUANX60RVtLk2Nn/bgZG8KBo1upVUf5uQ+KfDwyMoYKFYwpocDHb8r5eAy2tpLrlefj02aMIf5uOC5d2jNxwmylNRUlOUX4799AoXJo27RpI/1/yZIlMTAwQE9Pj4YN3+UvmZpKvhgfPnxISkoKoaGh1KlTB01NTZ4+fSr9c3R0RF1dXdqTm0e9evX47rt3+UY6OjpYWFjw+PFjPkblypUJDw9nyJAhMuWPHz+mRIkSpKWlFeaQ86Vdu3ZoaGhIP+dNOHr4UHIDKXPsn1N7p06dZD7nrVBQlMtXFfaanTx5kqysLFq3bi1zfl6+fEnLli1JS0uTCSQB6teXzTezsbGhcuXKHD58WDpU9uLFC2lqgp6efHAFEBAQQLFixWjWrJnMvtXV1WnQoAHXr1/n4cOH2NjYYGxsLBfQtm3blrJly3Lx4kUA0tLSuHTpUpH3zgLo6umSlibbw5Se2+Oko6ujwFZ2eC49LUNqd+LIGQZ69sXEzBgNTQ1GThyEppYmWlqaSmrSkdtPRj6aAJIfPJQre7+tdLnje62wnY+hp69LWuoHx56brqP7QVt6erpy91VaerrUrotre6ysLZg/Z5lSGj5EX8H1yLuWerq6f6spPT0dXT1Z7Yu9VlHW0Bav+T747ffF1Ey5iZpfoyaJD3x47SSaFF87eR/Ps1NTVeXY4dPUt3XCzrIxJwMCWbdtKRqaGhQGfT09UhX4yofnCkBfX/K8SU39wD4tHT09iX1y8iOys7MLpQXA0KA0amofz1XP26f2B/e1lqYmabn3RGpaGtraWgrqlevN1tXTJe3D483vvtP/uD9lpL/mavgNersNpWbVphwPOMuufRuoYGqslCY9PV1SFfiIRJPsdVN0P6SnZ6D3gY8v8lpJGcOqeM1fwd79GzFT0scFnw+lE+ZUVVUpXbq0bCNqahgaGsqVAbx9+5a7d++Sk5PDiRMnOHHihMJ2k5KSZD5/2B6AhoZGgR4AGhoa+Pv7ExoaSkJCAomJiaSkpKCiooK6uvrfbq8MH+rU0pI8GPKGSpQ99s+l3cjI6KM6i4LCXrM7d+4AMHLkyHxt7t+/L/PZwMBAzsbZ2Zl58+YRHh5OrVq1CAgIIDMzUy6Yf5+EhATevn1L48b593Lcv3+f7777jqZNm7Jr1y5SU1N58OABycnJ1KtXj+TkZGmgGxISQmZm5mcJaNPT0uW+ePI+p75KlbVNVWCroyW185qxjLHThrPt4DqysrLZs/0g0bdief5cuSXf0tMy5L8M89FUmLa0tTWVbic1NR3tDyaPaGtLPr/6oK20tDRpXR462tq8epWKpWVFps0cS9tWbp8UeEBu0KAje2w6uZ9fvXolqyk1XU6Tdq6m98nIeA3A6pW+ePTuyk9tmrNm1cZvWlN6arrUf97tJ8+f5INDRT7+6lUqampqrPRdSN9uw0nO7e2dOdGL67FBODSpx5njQX+rZeKE4UycMFz6+dKla+go8JWXH5wreBfIfjiJSUdHm5cv5e0/J9paWqS/fi1TlvH6tVSbtpYW6Rn51xeUtDT5+04nv/sun3v01UuJ3cypsrnza3x86ebuTHOnJviu366UJh0deR+RaJK9DqmpaXLXV1tbi5f5+Piqlb70zPXx1Ur4eFHyb0kVKCoKFdAqQuWDCR7vkzeRpm3bttKh4Q/R1JT9Bfmx9j7Gq1ev8PDwIDIykjp16lCzZk26detGjRo1mDFjBjduKJcX9Hf83WxuZY79c2ovVuzzL2hR2GuWd44WLFhAmTKKZ9p/uEyYovPerl07Fi1axKFDh6hVqxb+/v6UK1eOunXrfnTfJUuWZOnSpfnaVKwoGa5r2rQp27ZtIywsjMTERNTV1alZsyYPHz7E39+f6OhoAgMDKVmyJDVrKpf3WRBibsVSyqAkBkalefJIkrtlYWXOg6Rk6ReB1DYylirVbWTKLKwq8td1SU5wme+/Y81SX2ZPkqTIFC+hz8CRvaX1n6LJ0qqiQk1/21ZkLJY25gSevABIJpCZmpsQE6nc0GfkrWgMDEphZGTAo0dPAMkQZ9K9B7x8Ifsldisihuo1qsqUWdlYcv3an7Tr2JISJYtz9rwkZUY1tzcs9u4Vxo+ZyV4/+cmf+XErIhoDg9IYfWfAo4eyml58qOlWND/8IKvJxsaSa9f+BOD4qd2sWumL/4F3aU2aGho8e5ZSYD1fq6boyFhKG5TC0Kg0j/P8ydqc+0n/kwsEo2/dpmp12Vnmllbm/Hk9Ah1dbUqWKiHTG5udnc3bnLe8ySzYj/gFXj4s8PKRfp79ywTsatjK2FSuXIlwBbmmKSnPuXfvAVWqWEuHscuUMcLAoJTcsPbnxtLclFvRH6Qf3blLVetKufVmxMYn0MRe8px8k5VFQmISlcyVSz+KjIiRu++sbCwU3neRt2Ko9oNsqoaVjQV/XJPMUZg0zZNDB4/z1413zyNNTQ2ZlwYVhAgFPm5jU4l7Cn08RoGPV5L6+IlTfqxa+RsH5Xz8uVKaipJ/S6pAUfGPLNtlbCwZJnjz5g0NGjSQ+atTpw7Pnj1DR0e5YcX82LJlCxEREcyfP5/NmzczadIkXFxcsLS0/Nuh78+BMsf+tWn/pyhfvjwApUqVkjtHZcqUIT09vUD+Ubp0aZo0acKJEye4d+8e4eHhdOjQ4aPBvLGxMS9evKB69epy+1ZTU+Pt27fS3uw6deqgp6dHSEgIoaGh2NnZoa2tLU1/CA0NJSgoiKZNm/7tD53CkBCfyJWL15g8ezS6ujoYVyjH4NH92LvjoJztQb+j1GnwI63aN0dVVZVW7ZtTp8GP+PsdBaDXoO7MXzEDHV1tipfQZ4bXBG7eiOSv6xGF0HSdSbNHoSOjSfm8wH07DuHerwvWVSuhoanB6GnDePLoKVdCryrVTlxsAqEhV5jrNQU9PV0qmJZnzPghbN+6R8529+8HsXeoQwfn1qiqqtLBuTX2DnXw+/0gSxevxbRsDSwq1MKiQi3cuw4EwKJCLaWC2XeaJEsG5WkaN2EYW7fIT3jctfMA9g3r0rHTT6iqqtKx00/YN6zLrp2SwPrKlT+YOGUkJibl0NDQYOKUkWhoahBw9PQ3r+lO3F0uh15l2txx6OrpUL5COYaNGYDf9gNytvt3H6GefU1+6tACVVVVfurQgnr2NTngd5gXz19yOfQqE6aPwMCwFBqaGkyYMZJnT1K4EnZNKU15bNu+h8aN6+Pi0g5VVVVcXNrRuHF9tm3fq9B+85ZdTJ40AjMzE/T0dPFeMotz50KIi0so1P4LS7tWzbh89QbHTgeRlZXNsdNBXL56g3atJPMCnNs4sWOPP5Excbx+ncmyNRsxKF2KmjWqKbWf+LgELoZcYfaCyejq6VLB1JjR4wazY6v8+fH7/SANHOrQ3rkVqqqqtHduRQOHOvj9Lnlu2FSuxJwFkzH6zhANDXVGjx+Cvr4eRw+fUkpTXOwdQkIus8BrGnp6uphKfXy3nO3vO/fj0LAuzrk+7tzpJxwa1uX3nZLVg65cuc6k93x8ktTHldMk+Hz8IwGtkZERdnZ2nD59mogI2S/MnTt3Mnr0aI4ePap0u3lBw/vLi+RNHqpUSXYiyalTp7hz584nDx0qizLH/qna8wK395eW+tpQdM2aN2+OiooKa9eulVnGLDMzk8mTJzN06FBSUgrW09OpUyeePn3K/PnzycnJyXd1gzxatmzJ27dvWblypUz5gwcPGDJkCFOmvFuXU0NDAwcHBy5cuEB4eLi057ds2bKYmpqyfft2kpOTP0u6QR4j+01EVU2VU1cOsjtgIxfOhrJ6yW8AhMefo23nVgDE305gWO9xDPTsw6WY0wwZ058RfSdwJ07yyuHFv6zk+bPnnAn350TYPt7m5DC059hCafLsNxFVNTVOXTnArgBfzp8NZU2upivxgbTt3LJA7ezd4c/mX3fis2khIbeOU9nWmkFuo8nKUv6e7esxHFVVVcL/PMPxM36cOXWexV6rALhz/xouXdsBcDsmjp5uQ/AcM4jYu5cZO2EofTyGE3v7jtL7/Dt69RiGqpoa12+e5VTgXk6dDGLRAonfJf7vD7p0bQ9ATHQcPboNZvTYQcTfC2f8xGH0ch8q1TRr+iJOnTjH8TN+RMRcoEaNqnRo04PnKS/+FZqG9h2Hqqoq58IPs+/4VoLOhOCzeD0Af94JpoOLZIJn3O07DOw5miGe/bgWe47hY39mSJ9xxMfelbYTH3uXo+d2E/rncSpZm9O76xC5PO2CEhUVS2eXfkycMJzHDyOYOsWTrq4/ExMjGUHo3t2ZlKfvJjrNnrOUgIDTBJ7ZT0L8FbS0NOnmNii/5ouU2s2dOXz8DADmpiasWDCd9Vt20aBVF9Zu3MHSuVMwqyDpSOjU1gkPV2c8J8+mYZtu3IqOZfWiWairKb+EX/+eI1FVU+XyjVMEnN7NmdMX8F64GoC4pHA6d2kLwO2YeHq7D2Pk6IFEJ1xizPgh9PMYQVzsHQBGDp3MnfhEzgYfIDL+IvYN69ClQx9SCtEb2rPHUNTUVLlxM5DTgfs4fTKIhbk+nvS/GzI+7t5tEKPHDibh3lXGTxyOx3s+PnP6Ik6dCOLkmT1ExgRTo4Yt7dr0IKUQPl5UiFUOZPnH3hQ2Y8YM3N3dcXNzo3v37piZmXHz5k327NmDmZkZffvKrwv3d5QqVQpVVVVCQkLYvXs3Dg4OODo6smXLFkaNGoWbmxva2tqEh4dz+PBhNDU1ef36NWlpaUXWI1wQCnrsn6o9L4d13bp1NGjQ4LMGVoVF0TUzNzdn0KBBrFmzhs6dO9O+fXu0tbXx9/fnjz/+oG/fvtLlvf6ORo0aYWhoyKlTp6hZs6Z0cmJ+dOrUicOHD7Nx40bi4+Np1KgRL1++ZOfOnaSlpbFgwQJpPjhI0g7yVrB4f2JavXr12LVrF5qamnIrTBQlTx49xbO/4vVQa1aUzQO+cPYiF85eVGib+iqVsYOnFZmmUfloqlWxicLyA7uOcGCX/Kodm9bsYNOaHZ+s6dGjJ/TrpTgn26yc7Gzps6cvcPb0hb9tM/jCJQyLF37likcPn9DHY7jCOpPvf5D5fOb0ec6cPq/QNjMzk+lTFjB9yoJCa/maNT1+9JRh/cYrrKtmJntvnT8byvmzofm2M3Zo0fh4HidOnuPEyXMK63bu3M/One9eFpKVlcXkKfOZPGX+37arpqHcZKcP+Ss4QObz5VOyLy2xr1sT+7qK06BUVFTo3b0zvbsrTolThkePnjCgl6fCOnNj2f0Hnr5AYD73Xcqz53gOnfzJekDi473y8XHj76vLfD59+jynP+LjU6fMZ2oBruc/xdtCrBX8b+Yfe1NY5cqV2bt3L82aNcPf35/Zs2cTHByMm5sb27dvp1SpUkq3qaWlxdixY0lNTWX27NlcvHiR+vXrs2TJErS1tVm2bBne3t7Ex8cza9YsJk6cCCA3Y/5zU9Bj/1Tt3bt3x87Ojl27drFwYeHWNvzcKLpmAJ6ennh7e6Orq8vq1avx9vYmKyuLuXPnMn684i83RaipqdG+veQX99/1zubZb9iwAU9PTxITE1mwYAGbN2/G0tKSTZs2SZcZy6NJkyaoqqqio6ND9ervHoZ5wW2DBg3+0R9LAoFAIPhvklOEf/8GVHIK8zoQgUDwWbH5rvaXliCDCoWb8Pc5eZSh3ISjf4Lsrzjd52uilJb+3xv9w9x9kf+Scl+K9PuKewu/JOUtfvrSEuTIyC661XqKkuevYv/e6BPoYZr/Cj7Ksi1hX5G19aX4x1IOBAKBQCAQCARFw9t/Td9q0SAC2lxSU1ML/OICLS0t9PW/vh6GwvJfPnaBQCAQCL5FxLJdsoiANhdfX1+5me754ezszIIFnz754Wvhv3zsAoFAIBAIvn1EQJtLx44dC7wY/vuvd/038F8+doFAIBAIvkW+poz9x48fs3TpUoKCgnj58iU2NjYMHz68QKv+XLlyhTVr1vDHH3+QkZGBqakpXbp0oWfPnkq9FEoEtLmYmJjIvY3qv8J/+dgFAoFAIPgW+VpyaFNTU+nTpw93796lV69elClTht27d9O/f3/Wr1+Pg4NDvttevXqVnj17UqZMGfr374++vj6nT59m/vz5xMTEMHfu3ALrEAGtQCAQCAQCgaBQbNu2jejoaNauXUvTpk0Bychvx44dmT17NseOHUNFRfFKOTNmzEBfX5+9e/dSunRpANzd3RkxYgR79uyhR48eVK5cWeG2H/KPrUMrEAgEAoFAICgacorw36dw8OBBTE1NpcEsgK6uLl27duXOnTv88ccfCrd78uQJ0dHRNG/eXBrM5pG3nnx4eHiBdYgeWoFAIBAIBIJvjK8hh/bly5fExcXRtm1bubpq1aoB8Mcff1CjRg25+hIlSnD8+HE0NTXl6p4+fQogffV8QRABrUAgEAgEAsF/mGbNmn20/vTp0wrLk5OTycnJoWzZsnJ1eZPIk5KSFG6rpqaGmZmZXHl2djZbt25FRUWFOnXq/I3y99orsKVAIBAIBAKB4Kvga3jR68uXLwHQ1taWq8t7DXx6erpSbc6fP5/o6GjatWuHhYVFgbcTAa1AIBAIBALBN0ZRrnKQXw/s32rIfd23oklfeQF3fhPCFOHl5cXWrVuxtLRk5syZSmkRAa1AIBAIBALBN8bXkEOrq6sLQEZGhlxdXs9sQd4umpmZyeTJkzl06BDm5uZs3LgRPT09pbSIgFYg+Ap5+xUMJb1PsYL/wP7H0FLT+NIS5Kinb/6lJchRna/vVdU70qO/tAQ5upWt+6UlyFHe4qcvLUGOe7FHv7QEOYKrTvjSEv6zlC9fHpDk0n7Iw4cPARTm177Pq1evGDJkCGFhYVSrVo1169bJrXpQEERAKxAIBAKBQPCN8anLbRUFenp6mJmZ8eeff8rV5ZVVr1493+3T0tLo168f169fp3Hjxixbtkyae6ssYh1agUAgEAgEgm+Mt+QU2d+n0LZtW27fvk1QUJC0LDU1ld27d2NhYSFdvksRM2bM4Pr167Rs2ZLVq1cXOpgF0UMrEAgEAoFAICgkffr04eDBg4wcOZLevXtjZGTE7t27uX//PuvXr5dOCrt27Rp3797F3t4eQ0NDbt68ib+/PxoaGjRo0IAjR47ItV2lShUqVapUIB0ioBUIBAKBQCD4xvgalu0CSdrB9u3bWbRoEdu3b+fNmzfY2Njw22+/Ua9ePandrl272L9/P1u2bMHQ0JCQkBBAMiFsxowZCtseM2ZMgQNalZyv5YwIBAIpVka1vrQEGYopsezKP8WrLOXWNvwnEJPCCsbXOCmslrbJl5Ygx8mUiC8tQQ4xKazgNEn2+6zttzRpXWRtHU8MKLK2vhQih1YgEAgEAoFA8E0jUg4EAoFAIBAIvjG+hlUOviZEQCsQCAQCgUDwjVGUbwr7NyBSDgQCgUAgEAgE3zQioP0M7Nu3D2tra5klKKytrenXr98XVCUQCAQCgeDfQk5OTpH9/RsQKQcCgUAgEAgE3xgi5UAWEdAKBAKBQCAQfGOISWGyiJQDgeAborRhKVZvXsyV22cJizzF5DmjUVVVVWjbuLk9h879zvU75wkI9qNJCwdpnbqGOmOnDSfojyNcjjnDqk2L+L5cmUJrWrl5EZdizhB66ySTZuevqVGzBvgH7uRqfBBHLuyW0zRm2jACrx8mLPo0PpsWFlqTgWFpNmxdzs34EG7EnGfmvAn5anJs3pBTF/YRnXiJsxf9aebUWKbeo48rF64cJeruJU5d2CdXX1CKG5Rg/LrJbL6xA99r2+g9vT/FVBU/gp3cW7H8zGq23vydFWfX0NJD8XqTfWb0Z+jikYXSA6BjUJyu60Yx/sY6xl5bi9P0Hqgo0qSiQmPPTowMXcHEiN8YeHwBVdrUlVaraqrjNL0Hnhd9GP/nevodmIVZ/SqF0qSMP+Xh1LYpJy8fkCvvN8yDwOuHuRofxJb9a6loYVooTcUNSuC5bgK/3tjKmmub6DG9b77XztHdiUVnfFh/czuLzq6kuUcraZ1OcV0GLxvJmmubWP/XNibtmEmFKmaF0mRoWJpN21cSnXCJiLhQZs+flO95ataiEYEh/sTfv8r5S0do0bKJtE5FRYW4pHDi718lLilc+qejo10oXQBPn6XQumtfLl29ka9NUMglnD0GU7tZR9q5/UxgcJhMve92P5p17EHtZh3pPWw88Qn3CqVF95z9tAAAIABJREFU3bA4tpvG4RC9CfuI37Cc3Vuxj7+Hro0JDeO3UbKBrA+X6+VE3Ys+NIzbSq3AJRi0+LFQmgSfh/9kQOvi4kLdunV5+/attOzx48dYW1vTqFEjGdvExESsra1Zs2YNAFeuXKFfv37UrFmT6tWr06lTJw4ePKi0hokTJ1K3bl3u3LnD0KFDqVWrFjVq1KB3797cuCH/ECjofv39/encuTM//vgjdnZ2uLi44Ocnu7hzWloav/zyC82bN8fW1pb69eszYsQIIiMjlT4OAB8fH6ytrYmKimL48OHY2dlRr149Ro8ezb17sg8hR0dHRowYgbe3N3Z2dtSuXZvjx48D8PTpU3755ReaNGmCra0tjRs3ZtasWTx9+lRun2fOnMHV1RU7OzscHBxYuHAhfn5+WFtbExYmeTCGhYVhbW3N77//jru7O7a2tjg5OZGeLlmQ/8iRI/Ts2ZPatWtTtWpV7O3tGT16NImJidL93Lt3D2tra7Zs2YKvry8tWrSgWrVqtG3blpMnT/LmzRuWL19O48aNsbOzo1u3bgqvX1GxbP18UlPTcKjWCpeWvWjQqC69B7nJ2Zmam+Dj68XyBWuoadGEFQt/ZfmGBZT53giAsVOH0bKdI327DqdBFSfuxCWyac8q1NWVH7RZum4eaanpNKremi6telO/UR16Deour6miCSt8vVjutZbalk3xWbiOpevn812upjFTh+LU1pH+riNwqNqShLhEfP1WFkrTmt8Wk5aaTs0qjrRt3h2HxvUYMKSnnF1F8wqs27yURfNWUtmsPksWrGKt72K+L/sdAC7d2jNq/GCG/Twe6wp18PFez7rNS6XnURlGrxpHRloGA+r0ZmL7MVR3+IG2/TvI2dV2qovbhJ6sHLMcj6rdWDlmGd3HeVC3dX2pjV5JfUYsG02bvu2V1vE+LquGk5mWgXedYWxoPw1zB1vq9ZcPnmv3akH1zg3Z4jqHBVX6ccZrF518hlGqguQ8NZvgikktK3ydZ7Doh5+5+nsg3XzHULycgdKaCupPAGpqqvQb5sGSX+fJvfyjo2sbPPq70t91BPVsmnPzRiTLfb2U1gMwbNVoXqdlMLxOP6a3n0BVh+q07t9Ozq6mUx1cJ/Rg7RgfBlR159cxK+gyzo3arSVvS+q/cAjaejqMaTyEQTV6EXs9htHrJxVK07qNS0lNTeMHm0a0duxCoyb1GTi0l5xdRXNTftu6Aq+5y7E0qc2i+T6s27RU6uPWNpaoqatjZVoXc+Oa0r+0tMK9uOTqjZu4DxxNYtKDfG0SEpMYNWUuwwZ4EHp8L0P79WDstPkkP3oMwMGjJ9nud5Bfvedy4ehuqlpXYtSUOYXK9ayybhTZqRmE/PAz4a0nUapRNcoPbJuvfTFtDSqv9URVR1OmvEzXxpiN7ULE4OWcN/fg7vJ9VP1tLBplSimtqah4m5NTZH//Bv6TAa2joyMpKSn89ddf0rK8V7AlJycTHx8vLQ8MDASgWbNmHD16lJ49e/Lo0SOGDBnC6NGj0dHRYfz48SxbtkxpHRkZGbi7u1OsWDHGjBlDz549CQ8Pp0+fPrx69UpqV9D9HjlyhHHjxlGyZEnGjh3L2LFjUVNTY+rUqezYsUNqN2LECPbs2YOTkxMzZszA3d2dsLAw3N3defTokdLHkcfgwYNJSkrC09MTZ2dnTp48Sbdu3Xj48KGM3fnz5zl69Chjx46la9eu1K5dm+TkZFxcXNi1axeNGzdm8uTJNG7cmF27duHi4iKj68CBAwwZMoRXr14xfPhwunXrxoEDB1i8eLFCXV5eXhgYGDBt2jS6dOmCtrY2GzZsYPTo0WhqauLp6cmUKVOoV68eR48eZciQIXIPTl9fX7Zt20b37t3x9PTk0aNHjBo1ikGDBhEYGEi/fv3o168ft27dYsiQIaSlpRX6POZHhYrlqedQi0WzVpCR/prEhCRWe2+gR7+ucrbOrm25cvE6pwLOkZ2dTcDBU1wODce1pzMAbTu3ZNXiDdyOiuPNmyyWzFlJmXLfUb9RHaU11XWoxeJcTfcSkljj/RvufeU1dXRtQ3jYdU7najrmf4rLoVelmtp0asXqJe80ec9ZRZly31GvoXKazCqa0KBhHebOXEJGegZ3E+6xfPGv9O4vHxS5dOtA2MWrHD96huzsbA4fOM7FkCu49+oCwKBhvVk834frVyXPioP7AujQ0p2XL1/JtfUxvjcti2396mydt4nMjEweJiazZ8UuWvdsI2dbukxpDqzeQ8y1KACir0ZxM/RPqtSpCoCWjhYrzq4h9UUqoUeDldLxPqVMy2BWvwqn5u0kKyOTlMRHBK04QO2eTnK2lzefZK3TRJ7dfYiqhho6Bvq8SXvNm4xMANS1NDjnvZcXD56S8zaHa7+fJTszi7LVKiqlSRl/Avht90rq2tdi/YrNcnVdenRk58Y93I6KI/N1Jktm+1CufBnq2tdUSlMZ0++pUr8aO+dtITMjk0eJyRxY4UeLnj/J2ZYqU5pDq/cTe03yJrTbV6OJCP0LmzqSnr5Vw7zxGbqYtBdpaOpooVNclxdPnyulB8DMvAL2jeryy/TFpKdnkHDnHt6L1tB3gLucratbR8JCwwk4cprs7Gz89x8jNPgyHr1dAajxYzUibkbx5s0bpXV8yMGjJ5kwcyEjfpYPrGXsAk7x4w9VadaoAWpqqrRq1ohadtXwOyh5W9WeQ8dwdW6LpbkpmpoaeA7uw4Pkh1z+SI+vIrTNvqeUvS2xv2zjbXomGQkPueO9F+O+rfLdxmrBAB4fvSRXbjKkPfFev/Py2m0AHu4P5mqbKWS//HJvLMwpwr9/A//JHFpHR0eWL19OcHAw1atXByQBbdmyZXnw4AFhYWFUrCh5EAcGBmJiYoKxsTE9evSgevXqbNu2DTU1yanr1asXY8aMYe3atbRr1w4LC4sC68jIyMDNzY0JE969tk9bW5tly5Zx6tQpOnbsSGpqKjNnzizQfg8ePIiOjg7r16+nWDHJbxUXFxe6dOlCTEwMIOkFPX/+PG5ubowfP166XxsbG7y9vYmIiKBx48INqRoaGrJt2zY0NDQAqFmzJkOHDmXVqlXMmjVLapeWlsbmzZul5x4kPdZJSUn4+Pjg5PTuC7V+/fp4enqyaNEiFi5cSHp6OvPmzaNChQr4+fmho6MDQMeOHWnbVvGvbmNjY5YvX45Kbg9OdnY269ev58cff2TdunXScjc3N7Kysjh27BixsbFYWlpK23j+/DnHjx/nu+8kvRoaGhrMmTOH+Ph4AgIC0NSU/JrPyMhg/fr1REREUKtW0b6+tpK1Bc+epvAw+bG07HZUHMYmZdEvrsfLF6/eszUn+tZtme1vR8VjU9UKANViqjI9MHkzXc0tzQg6HVJgTZbW5qR8oCk2WrEmSxtzom/FymwfGx2PddVKuZqKkf6BJnJyMK9kyvkzBddkZWPJs6cpJP/v3Y+gmMhYypuUo3hxfV68eCktt7axJDJC9jWs0VGxVK5qhZa2FlY2lmRnv2XP4U1Y21gSe/v/7N13XBPnA8fxDwTCFBXcgiKyVLRaJ4hWxYFWrTjqhIqzuBX3buusVdwDce8t7okbFWexKrIEN6g4gLDh90ckGgJKqIL297z7ysvm7rm7by6X8Nxzzz2JYMbUecji1fsjZmZdjthXb3kV/f5qw6OQhxQ3LYG+kQGyt/GK6Uc3KP8EpZFJYSrVqcK6P1YBkJyUzPBmg3jz4vW/6m5Q3NoU2atY4qJfK6a9CHlMEdNi6Bjpk/T2g5OyjAxSEpKwaFCVbutGo6EBR3/fqFj24PjVSus2d6iMTiF9ou5EqpVJneMJYPTAKUQ9jcals+pn39LGAp9F6xXPU1PTiAx/iE0Vay5fuJbrTGWtzYh9Fcvr6FeKaY9DHlLMtDj6RvrIPthPJzYcUVrWyKQwtnUqs+mPtQCkpaaRlppGp1HdaDOgPYlxCfzlPj3XWTLZ2loSE/OaqGfvGwuCg8IwK1cWo8KFePtG+Ri/ezvLMR4URhU7GwCqf2+Hnq4OR07twKxcWULuhTFt6jyuBtxQO1f9ujX5sXkTtLQkjJoyK8dyofcjsa6ofLJT0bwcwaHyxqSw+w/o3b2TYp62lhblzcpyLzScOjW/y3UefVtTUmJiSY56/97Jgh+ha1YcLSN9Ut8qNzyU7NQQvQqlCBq+DHPPjorpmnpSDGxMyUhLp/re3zCwMUMW9oTwPzaSJkvMdR7hy/q/bKG1tbWlbNmyXLjwvnXD39+f1q1bU7p0aS5dugTIK14BAQE4OTnh7+/PmzdvaNGiBW/fviUmJoaYmBhevXpFq1atyMjI4MSJE2pnadNG+bKVnZ0dIO8CkZkrt9stVaoUMpmM3377jdu3b5ORkYGOjg779u1jypQpABgaGmJoaMjhw4fZtm2bouWzadOmHDp0KM+VWYB+/fopKrOZ67S0tOTYsWNK5QwNDalatarieXp6OsePH8fa2lqpMgvQsmVLrK2tOX78OGlpaVy8eJE3b97g6uqqqMwCmJqa0rZt9pdf69Wrp6i0AkgkEs6dO8eKFSuUpr99+1axzqwtrLVr11ZUZgHFiUuTJk0UlVmA8uXlffSytkp/DgaG+iRk+fJMSJA/1zfQVymb9ZJhQkIi+gbyfnFHD/jhMbwXZuZlkepIGTbOA11dHXT1lC+zfTqTAbJcZzJQzSRLVJQ7dtCP/sPeZxo69ld0dHXQ1VUvk2F223mXycBQdT8lZFPWwECfIkWM0NTUpP+gnowf+QffV2rE3p0H2bB9OaZmZdTKpGuoR6IsSWlaUoL8ua6+bo7LFSlehAnrphB+K5RzvmcASE9L582L1zkuk1s6hrqkZMmU8i6TNIdMkZfvMt3qFzb2mEXjkZ2o3LqeSpmyNSzpuHQIZ+bv4vVD9a74qHM8AUQ9zflz9qnPQG7pGeqRlCVTsuK9y3ldhYsXYdS6idy/FYa/71mleXsX7qSXTRf2LNjO6PWTKG6mXl9xA0MDZPHK31Gyd12pDLLsJ8NCBirfZwkJCYrPQmJCEtevBdKz20BqVmnM0cOn2Lbbh3Lly6qVCaCYiTFaWh/v7wwgkyWgl+Vzraujo3gN8TIZenq62cxXr/KoZaBHWpZjPPO5xEB5/fqWZagwrit3PBbAB90RAbQKG6KhqYmZR1uCx6zEv1o/onefp9qWCeiaqd/96HNJJ+OzPf4L/i8rtACNGzfm5s2bxMfHExoaSlRUFPXq1aN27doEBMgvN/j7+5OcnIyTkxMREREAzJo1C3t7e6XHwIEDAXj8+LHaOUxMlPuYZVYIM/v3qrPdQYMGUaVKFbZu3Ur79u1xcHBg1KhRnDp1SnEJXSqVMn36dFJSUpg8eTKOjo60bdsWLy8vxbbyytraWmVahQoViImJUepCYWJiolSRfPXqFXFxcUotoh+ysrJCJpMRExOjyJjZgv4hCwuLbJfPuo9Bvh8CAwOZOHEi3bt354cffqB27drs2bMHQKl/Nchbnz+UefNF8eLFs53+Jcb1S5AlqHzJZz6Pj4tXmi6TJWZbNj5O/odt1hQvblwJZPO+lRy9uIukxCSC74bx5vXbL5YpIT6bsvq6inKzp8zn5pVANvp6c9h/J0lJyfJMH7Q25YbsI5niYrPupwR09fRUysbHyUhKkl9OX7l0PcFBYaSkpLLWZwuPHj2hSbMGamVKkiWik+VkIfN5Yg6tvVY1bJi1by5Pwh8zq8800tPSsy2XV8myJLSzZMp8npxDprTkVDLS0rl/4TaBe85T9ScHpfk1ujTCddM4zi/25dxC1Zu0PkWd4+nT6/r4ZyC3kmRJKu+d9N3zhBz2U8Ua1vy+70+ehj9mXp+ZKu9dSlIyqcmpHPbZz8snL6jZvLZamWSyBPSyVKb13x3HcVm/C+JVy+rp6Sk+C1Mnzmb4oIk8expNYmISyxat5tGjJzRt3kitTOrQ09UlIUm5opmYlKS4EU1PV5eExJzn51aaLAmJnlRpWmbf2NS495VjTR1tKnsPJ3TSWpIevyCrjGR5d4xHK/Yju/eIjJRUHq8+QuLD5xg71VAr0+ckKrTK/i+7HIC8Qrtx40YuX77Mw4cP0dbWpmbNmkRHR7Nv3z6Cg4M5ffo0RYoUoWbNmty8eRMAT09PRStqVh+24OVWZteAnGRWjHKz3RIlSrB7925u3rzJ6dOnuXTpEgcPHmTfvn04OzuzYMECAJydnWnQoAFnzpzh/PnzXLp0ieXLl+Pj48PChQtxcnJS+3UASq2zmdLS0gAUXSVA9TVnrTzmtA6pVEpqamqO2/qwpfRD2d35O378eHbt2oWtrS3fffcdzs7OVKlShdOnT7NixQqV8h/m/5BGlhtRvqTgoDCKmhTBpLgxL5/LL11b2ljw9PEzlYpaSFAYVarZKE2ztKnArZt3AShZqgRL563i97F/AmBUuBC/DnPnn3fzcyvkrmqmitYWPH0clW2mytVslaZVtK6g2GbJUiVY5rWaP8bNUWTqP7Sn2pnu3Q3B2KQoxYqb8OL5SwCsbCvy5PEzlb6v9+6GUvW7SkrTrG0q8vfN27yKec3z6JdIpdpK8yWammq/7w/uRWJkbEThYkUUraumVma8ePIcWaxqBavJz03p9Vs/ts3bzP6V6lcMc+P5vYfoGxfCoJgR8S/kJzLFrMry5slLkrL0C2w2Ud438/i0TYppWlJtEl7L96eGpgatprlj61ybbX3ncf/C7TxlUud4+uS6gsKwtLXg9PHz8rxaEspbmBESFPaJJZU9vPeAQsZGGBUrzNsX8v6uZa3MePnkBQnZvHcNf26C22992DVvK4dX7lOaN3n3DA777OfKoYuKaVpSbeJfq9cnO+hOCCYmRSle3ITn745xa9uKPH70VKVbRtDdEKp+p3y3vrVtRf6+Ie8XPm7SMPb7HuWfwPefMx0dKYmJX+5SuqVFee4GZ+l+FPGAKjZW7+abE3Y/kkb15SNppKSmEvnwMVYW6o1SER/0AG0TI7SLFyblufy907c2JfHxC9I+eO8KVa+InkUZbL08wMtDMb3qxnE8236GkLE+JD9/jUaW7wINiSbk498A4eP+b1to69Spg6GhIf7+/ly8eJEaNWqgp6eHvb38TuKLFy9y9uxZGjdujEQioWxZ+eUXAwMDHBwclB4VKlQgLi5O6RL456LOdoODg7l16xbVq1dn2LBhbN26lfPnz1OjRg2OHDlCZGQk8fHxXL9+nbi4OFq1asWMGTPw8/Njw4YNAPj4+OQ5a3YtvPfv36d06dLo6uZ8WdXY2BgDAwNCQ0OznR8eHo6BgQGFCxdWXNL/8Ma9D7eVG1evXmXXrl2KkSJ+//13XF1d+f7773n16tWnV1BAIsMfcvXSDSZM88TAQB/TcmUYMKIPOzftUynru/0gdRxq0vKnpkgkElr+1JQ6DjXx3X4IgJ6/dmPWoinoG+hhVLgQU/8cy+3AIG7dvKNepvvyTOP/GIGBgT5ly5XBY0Rvdm1WHYHDd8ch6jh8j3NbeSbntk2p4/A9+3bIM/3ya1dmLnyfacrsMdwODOIfNTPdD3/A5YvXmDpjDAaG+piVK8vQkf3ZunG3Stld2/djX782rdu1QCKR0LpdC+zr12bXtv0AbFy7nWGjPKhsZ4NEIqFXv+6UKl2So4f81Mr0LOIpdwNu4z65D7oGepQwK0nHIZ3x26baTaluS3v6TvNgTv+ZX6wyCxATEcWDgCBaTHZFaqBLEbPiNBzSjpvbTquUjbwcRM3uTShXxxY0NLB2qkGVNvW4vvUUAM0nu2LZ6Dt82kzKc2UW1DuePmXX5n306P0zNlWskOpI8Zw0mBfPY7h68bpa64mKeMq9gDu4Tu6FroEuxc1K0G5IJ85sO6lStnbLerhP68+C/n+qVGYBwm6E0GF4Z0zKFkdLqkX74Z3Rlmpz7fgVtTLdD4/kkv9V/pg1HgNDA8qVL8uIUR5s3rBLpeyOrb44ONahrYszEomEti7OODjWYcdWeT7bSlZMmzWe4iWKIZVqM2L0AAoVMuTQAfW70OVWG2cnrlwP5MjJs6SmpnHk5FmuXA+kjXMTAFx+bM7mnfsICgknKSmZ+cvWYGJclJrVq35izcoS7j/j9aW7WP7RE4mBLrrlSmA+ogPPNit/ft9cDuKceXfOW/dUPABu9ZhJyFj538Qn645j7tkRwyrmaEg0KdunJdLSxrw4rN579zmJXwpT9n9boZVKpTg6OnL+/HmuXbtG3bryM8HSpUtTvnx5Nm3aRFRUlKK10tHREX19fVavXq10+TwjI4OZM2cyePBgwsLUO/PPDXW2O2LECDw8PJTKGRsbY25uDshbRsPDw+natSve3t5K26lSpQpSqfST4z1+zJo1a5Q+GEePHuX+/fu0bJn9GJqZJBIJTk5OBAcHq/S3PXr0KMHBwTRr1gyQ7w9DQ0O2bdtG0geXrF68eMGBAwdylfP1a3kLWdYuEg8fPlRsP7Ml+GszuNcYJFoS/K7tY8eRtZzz82fJXPkX7o2Is7TpIL97Nzw0kgG/jOTXYe5cCfVjoGdfBvcaQ0T4AwDm/L6IN6/ecur6fo4H7CE9PR0PV888ZRraeywSLQknrvqy/fAazp+6yNK58huYrt0/Q+t3me6HRjKo5yj6D3MnIOQkAzz7MOSDTH/9vpg3r97gd20fxy7vJj0jg4FuI/OUqX/PEWhpSbh44yj7j2/m9MkLzJ+zHIB7DwJw6SgfXSAs5D69XYcweHhfbof7M2zUr/T7ZTj3w+Q3M82bvZRli1azbNVf3Ll/kfY/t8GtswfPPtJ3Myd/ecxGoiVh6fmVzNw7h5tnrrNz4TYANtzZRoN28v7rPw/tiqaWJiOXj2XDnW2KR7/pHh9bfZ7s8FiAppaEIefn03vvb4SdCeTsQnm3m7F3VmHXTt6lIPj4NY5MWU+b2X0YHehNg6Eu7Og/n0fXQtArakhtt2YYFi+Cx/HZjL2zSvHIXF4duT2ePmXX5n2sW7GFxWvncPHuMSrZWfNrt+GkpqapnWmBxxw0tSR4nV/O1L2zCTxzgz0L5cMh+tzZhEM7+XCPLkN/RqKlydDlo/C5s0nxcJ/eH4Btszfw9+kbTN0zk0WXfahQtSIzuk5Wuikwt/q4DUWiJeFK4AkOn9yO38nzzPtzKQDhj6/RoZP8RrnQkPv07D6IoSP6ExwZgOfoAfR2HUJ4WAQAQweOJ+L+Q05d2EvQ/UvUb1CHTj+58/qV+qMvfEztpi4cOCqvSFqUN2PhrMmsXL8NB+dOLF+zGa/pEzAvZwpA+9bNce3swrDxf9Dgxy7cDQ5j6Zzf0M7hStnH3O4zFw2JhHpXlvD94RnE+N0kYp684t8gfAMlOjh+Yg1yEX/t4MFiXyp7D8cxZB0lOzbkVrcZJD9THVYyv4guB8o0Mv4rVfM82Lt3r2KEgc2bN1Ozpnw4l8mTJ7Nt2zZ0dHS4dOmSogV0x44dTJo0iTJlytCxY0eKFi3KiRMnOH/+PC1atFDcSb97927GjRvHvHnz+PFH+R9OGxsbHB0dWbVK/sU8duxY9uzZw/nz55X6YV6+fBk3Nzc8PT3p16+fWts9dOgQw4cPx9raGhcXFwwNDbl58ya7d+/GycmJJUuWAPKbt86ePUvr1q2pVasWSUlJ+Pr6cufOHRYtWqSoPObWokWLWLx4MTo6Onz//fc0a9aMyMhINm/eTJkyZdi1axeFChUC5DdRSaVSjhxRvhs4KiqKTp068fLlSzp27IitrS1BQUHs3LkTExMTdu7cqehasWPHDiZOnIiNjQ0uLi4kJSWxefNm3rx5Q2JiIhs2bKBOnTrZ7kuQj/TQsmVLUlNTcXNzo0yZMoSHh7Nz506SkpJISkpixYoVNGrUiEePHuHk5ETnzp35/fffP/o+Adm+93lhXfzzjpDwb2Ud4/NrEJdacMPl5KReoez7cRekahQq6AgqNicEf7pQPqulZ1bQEVQcf63e1Yn88CjsUEFHUHGhyphPFyoAjaJ2fLrQv1CnTN5v4s4q4MmZz7augvJ/24cWoFGjRkgkEnR0dJSGkLK3t2fbtm04ODgodSPo1KkTpUuXZtWqVaxatYq0tDTMzMwYM2YMPXr0+GL9KXO73VatWiGVSlmzZg3e3t7Ex8djamrK4MGD6dOnj2J9Xl5e+Pj4cPjwYU6cOIFEIsHOzg5vb2+VH5ZQx9y5c9m5cyd//vknhQoVokOHDgwbNkxRmf2YkiVLsnPnThYvXoyfnx+7du2iRIkSdO3alQEDBmBsbKy0PwwMDFi5ciXz5s2jcOHCtG/fnpSUFFavXp1t/9oPGRsb4+Pjw9y5c9m4cSNpaWmULl2arl270qxZMzp27Mj58+dp1KhRnveFIAiCIHxJ4qdvlf1ft9AKn0dmC+22bduoXr36F91WcnIyMpmMIkWKqMybMmUKW7du5cSJE5iZfX2tLeoQLbSfJlpoc0e00OaOaKHNHdFCm3tfuoW2Vmn1Rlv5mKtPz322dRWU/9s+tMK36dWrV9StW5c//vhDaXpcXBynTp2iWLFimJqaFlA6QRAEQcgfog+tsv/rLgdC9mJjY3M9ZMuXGNnhY0qWLImjoyObN28mOTmZatWq8ebNG/bs2UN0dDRz5szJ16G0BEEQBEEoeKJCK6iYPn264gcGPmXQoEFfOI2qhQsXsmbNGsUYu7q6utjZ2TFhwgQcHNS/q1oQBEEQvjWix6gyUaEVVPTp0yfHn5HNyszMDDMzMwYPHvyFU71nYGDAoEGDCqQyLQiCIAhfg/9KV4HPRVRoBRWWlpY5/gytIAiCIAjC10ZUaAVBEARBEL4xYtguZaJCKwiCIAiC8I1JF31olYhhuwRBEARBEIRvmmihFQRBEARB+MaILgfKRIVWEARBEAThGyO6HCgTXQ4EQRAEQRCEb5pooRUEQRAEQfjGiC4HykSFVhC+Ql/bF1W/ppYHAAAgAElEQVT61xUHgKS0lIKOoKK4hm5BR1BROvXr+ynoQlp6BR1BhTVfX6b9X+ExfqHKmIKOoKL+7dkFHaFAiC4HykSFVhAEQRAE4RvztTV8FDTRh1YQBEEQBEH4pokWWkEQBEEQhG+M6HKgTFRoBUEQBEEQvjGiy4Ey0eVAEARBEARB+KaJFlpBEARBEIRvTEZGekFH+KqICq0gCIIgCMI3Jl10OVAiuhwIgiAIgiAI3zTRQisIgiAIgvCNyRCjHCgRLbRCgWvSpAnOzs6fbX1jx47FxsaG58+ff7Z17t69GxsbGw4ePPjZ1ikIgiAIeZVOxmd7/BeICq0gCIIgCILwTRNdDgRBEARBEL4xosuBMtFCKwjfEONiRVm6bi7XQk9zOegkE6Z5IpFIsi37Q9P6HDizjb8jznPkwk4aN2ugmCeVajNq0mDO/X2IqyGnWLL2L0qVKfkvMv3F1dBTXA46wfhpIz6aaf+ZrdyMOMfhCzto1MxRMU9bqs3ISYM5+/dBroT4sWTtnDxnKlbMmHWblhAaeYWg8EtMmzk+x0xNmzXkjP8+Ip7c4ELAIZq1aJRtuR5uHXn+5l6e8gAUMjGiv/co5gauYc51HzpN/gVNSfZfwQ26N2Pqyfl4/bOOqX7zadijudL8hj2a8dvphXjdXs/EI39h1+T7PGXSNTGimc8w3G6vwDVwGfWm9kAju0waGnw/oj1dAxbQ854PHU7MxKJ1XcVsia42jjPd6X59MW7/rKDV1nEYVzLLU6aiJkWYs3o6fncPcvyffYz4bXCO712mxq1+YO/FrUrTChU25PdFEzn+zz5O3TvM0m1eWFexzFMmfRMjfvYezuhAb0beWE7zyTnvpx+GtWfoxYWMvbOK/kdnUfnHD/aTjjbNJ/dg2KVFjL61kt57f8PcvnKeMhUrbsKmLcuJfHSD8MgrzJw9Mcf91Kx5I/wvH+JJ1C0Crh2lhXNjxbwiRYzw9plLeOQVHj65yb4DG6hatVKeMmkXM8Ju7Sgcg9dS/84qLP/omf1++oCBrRkN7m+kiIPyfijzS3PqXlpEg/AN1Do9F5NmeTvGM8W8ek3Ln3sRcD0wxzJn/QNwcfWgtlM72nTrx+kLl5Xmr960A6d2Pajt1I6eg0ZzP/LRv8r0b6VnZHy2x3+BqNAKCjKZjN9//52mTZtiZ2eHvb09Q4YMISgoSKnciRMn6NatGzVq1KBGjRp0796dM2fOZLs+Ly8vmjdvjp2dHY6OjowfP56oqKiP5khLS8PT0xMbGxuWLl2a59cTGRnJ4MGDqVWrFjVq1KBnz578888/KuWuXr1K7969qVmzJtWqVaN9+/b4+vp+cv02Njb8/vvv7Nq1i+bNm1OtWjVat27N9u3b85z5UxasnIUsXkb9qs50bOGGQ8M6uP/aTaVceQszFq/+k/mzlvF9xR9Y8OcKFvjMomSp4gB4ThxEizZOuP88CPvKzYgMf8DanUvR1lb/os38lTOJj5fhWNWZji1+waFhXXrmkGnR6tksmLWMmhUbsTBLppETB9GiTRN6/TwYh8rNiQh/yNqdS/KUaeWa+cTHy6hq24AWTTrSsJE9vw7sqVLOwqI8qzcsYtb0BVQ0q8WfMxfhs3Y+pUqXUCpnY2vJHzPGq53jQ70XDyMpPpGxdfoz+6fx2NavilPvH1XKfde8Nu1Gd2XdyCUMt/uFdSOX8NOoLtRwlleM6nX4gVZDO7F66AKGV3HjyNI99FvmSeESRdXO5LRsECmyJDbVHMze1pMp61iFqn1bqpSr0rMpVh0cOdBpOmtt+nBl5jYaLxlIofLy/VRzRHsKW5RiZ5MxbKwxgJg7D2i2cpjaeQBmLJ9KQnwCLb9vT89W/anToCZd+3XKtqxES4LrgK7MWDYFDU0NpXkT/xqDQSEDXBy60bRKa27fvMtfa2bkKVPHJYNJliUyr84gfNpOwsLRjnp9VPdT7V+aUa1DA9Z3nsasyr3xm72N9osGUbScfD85jemMWS1rVrtMYc53/bi+9TRdVntiVMZE7Uxr1i0kPj4eWyt7mvzQnkaN6zNwUC+VchYVzdmwaQnT//DCrEx1Zk5fwNr1iyhdWn6yuGjJTAoVMqRGtSZUKFeLa1f/ZvO2FWrnAajsPZy0+ET8v+vHtZbjKNqwKqb9W+dYXlNPSqXlw5Do6yhNL/nzD5iP7MQdjwWcs3DlwYLdVFk1EmlJ9Y9xgOuBt+nefwQPHz/NsUzkw8cMnzCdQX1duXh0FwN792DkpJlEPX8BgO+h42za4cuKedM5f2g7VWysGD5hWoG2kmZ8xv/+C0SFVlAYMmQIO3fupHnz5kyZMoXu3btz+fJlunfvrrjBatWqVQwcOBANDQ2GDRvGgAEDiI+Pp3///uzYsUOxrsTERNzc3Fi1ahX29vZMnDiRtm3bcvjwYTp06MDTp9l/saSnpzNu3DgOHDjAyJEjGTBgQJ5fT9++fQEYNWoUXbp04erVq7i7uxMTE6Moc+jQIdzc3Hj+/DkDBgxgxIgR6OvrM3r0aObPn//JbZw+fZopU6bQqFEjRo4cib6+PpMmTWLhwoV5zp2TchVMqedYiz9/W0BiQiIPIx+zZJ4PPXp3VinbvnNrrl66yYnDp0lLS+Ow73ECLl6js1t7ANp0cGbxXysJvRdOSkoqf01bTKkyJbBvWCdPmeb8tpDEhCQeRj5m6TwfevT+WaWsiyLTmXeZTnDl4jU6u7kA0LpDC5b85aPINHfaYkrmIVMFi3I4NqzLb5PnkJCQSGTEI+bNWUrvvt1Vynbu5sKli1c5fPAkaWlp+O45zMULV3Dr+X6f6unp4r16Ht7L16uV40PFy5fExt6OPTM3kpKYzIuH0RxatIsf3FRvhixcoihHl/ly/0YIAPevh3Dv4m0s68pbzZr2bcP+uduI/DsMgKv7LjCn/UQS42RqZTIyL0kZh8oETN9CWmIysQ+ec2PBXir3bKZS9vbaE+xqOo7YyGg0pVromhiRKksiNSEZgCKWZUFTE9AADQ3S09NJTUxWKw+AqXlZatX/noXTlpGUkMTjB09ZNX89P7u3z7b84i1zqeVQg3WLN6nMG+8xlXH9pxD3Ng59Az0MjQx59fK12pmKli+JuX1lTszYQmpiMq8fPufswr3UdmuuUvbKuuMsbz6WVw+ikUi10DcpRIosiZR3+0JbV8qZebt4+zSGjPQMbmw9RVpyKqWrVlArk4VFeRo2rMfkibNJSEgkIuIhc2Yvpm9/V5Wy3bq356L/FQ4eOE5aWhp7dh/iwvkAevbqAoD7L0Pp6TaYN29iMTTUp3ARI16+iFFZz6fomZeiaH07wn7fSHpCMomR0UTM20XZXjnf8Gs9qy8vDgWoTDcb0Jb7s7cSeyMUgOg9F7j+4wTSYhPUzuV76Dhjpv7JkH6/fLzc4RN8/10VnBo6oKUlwdmpIbVqVGWH72EAdu4/QmeX1lhalEdHR8owD3eeRkVz5SMtvkL+En1oBQBiYmI4d+4c3bp1Y/To0Yrptra2zJs3jzt37mBpacm8efNwdnZmwYIFijI9e/akZ8+ezJgxg6ZNm1K0aFHWrFnDrVu38Pb25ocfflCUbdu2LR07dmTOnDnMmzdPKUNGRgYTJkzA19eXcePG0bNnz3/1mlxcXJg8ebLiua6uLkuXLsXf35/WrVsTHx/P1KlTqVatGhs3bkRLS/5x+OWXX/D09GT58uW0adOGihUr5riNx48fs2TJEpo2bQpA165d6datG97e3nTq1InSpUv/q9fwISubiryKeU101AvFtNB79ylrVppCRobEvo1TTLe0qci9u6FKy4feu49tFWsAJJoSEmTv/zhkZGSQkZGBhaU5Z0/6/8tM4dlmsrKxIPgTmWSfIZONrRUxMa+IehatmHYvKAyzcmUxKlyIt29iPyhryd3bwUrL3wsKpYqdreL57L8mc/zoac6c9mfEKI9c5/hQaWsz4l7F8ib6lWLa05BHmJgWR89In4S37yujZzceU1q2kIkRVnUqsXPaerR1pZS2NiU9LZ0R26ZS2tqMqPAn7J21iSRZklqZilqXJfFVLLKo95W8VyGPKWRaDKmRPskfZCIjg9SEJMo2tMN5w2g0NODib5tIiJYvG+h9iGbeQ3H7ZznpqWkkxsRy8Gf1W0MtbCrwOuYNL6JeKqaFB0dQ2rQUhkaGxH1wPAFMGTKd6KfPaf2zaqUpLTWNtNQ0PMb0oefgHsjiZAxzG6N2puLWpshexRIX/X4/vQh5TBHTYugY6ZOUZT+lJCRh0aAq3dbJ99PR3zcqlj04frXSus0dKqNTSJ+oO5FqZbKtZEXMy1c8++AYDwoKoVy5shQuXIg3HxzjtpWsuH1buatMUFAIdnbyE6TU1FRSU2HSFE9GeP5KbGw8P3fsrVYeAH1bU1JiYkmOen+My4IfoWtWHC0jfVLfKp9wlezUEL0KpQgavgxzz46K6Zp6UgxsTMlIS6f63t8wsDFDFvaE8D82kiZLVDtX/bo1+bF5E7S0JIyaMivHcqH3I7GuqHxiUdG8HMGh9wEIu/+A3t3fXynQ1tKivFlZ7oWGU6fmd2rn+hxEH1plooVWAMDQ0BBDQ0MOHz7Mtm3bFC2yTZs25dChQ/zwww8cP36c1NRUWrZsSUxMjOIRGxtLixYtkMlkXLhwAYDDhw9TrFgxqlatqlS2RIkS2NnZ4efnR2pqqmL7GRkZTJkyhd27dzN06NB/XZkFaN9euVWnevXqAIrX5u/vz5s3b2jRogVv375VZHz16hWtWrUiIyODEydOfHQblSpVUlRmAbS1tXF3dyclJQU/P79//Ro+ZGCoT0KWL/TEBPlzAwP9bMomqJTVN9AD4OiBk3gM7005c1OkOlKGjfNAV1cHXT3lS395yZTwLpN+NplkWTIlKGXyw2N4L8zMy/6rTIaGBsjis25H/jzrfjIsZJBtJgNDebmOP7fFyqYiM6ct4N/QNdAjOUuFM/ld66aOvm6OyxkVL8ygteN58E84V3zPo1/YAE1NTZr1a8OWiT6MrdOPK77nGbh2PMamxdXKpG2oR2qWTJktrtoG2Wd6eimI1RY9OdR1NrVGdcSijbwbhKZEwv1DV9hUazDrq/Qn8ug1mq8ejkRHW61MBgZ6imM6U6LieNJTKR/99NND861esB5Hi2asnLeWhZvmULaceieZOoa6pGTZTykJ8ufSHN67yMt3mW71Cxt7zKLxyE5Ubl1PpUzZGpZ0XDqEM/N38fqhekMMGhoaEJ/1uJVlfhcYKE0vZJj9MW5oqPxZmDN7MSWLVWH2zIXs2rMGc3P1+kBrGeiRlmU/ZT6XZDme9C3LUGFcV+54LIB05Z9v1SpsiIamJmYebQkesxL/av2I3n2ealsmoGum3jEOUMzEGC2tj/fBBpDJEtDTVf6u0dXRQfbuuyNeJkNPTzeb+epXsj8XMWyXMlGhFQCQSqVMnz6dlJQUJk+ejKOjI23btsXLy4uIiAgAxb9Dhw7F3t5e6TF9+nQAnjx5Asj7r7548UKlnL29PTdu3CAhIYFXr96fyUdERLBt2zY0NDS4evXqZ3lNxYsrf/np6sq/jFJSUpRez6xZs1QyDhw4EJC3wH6MlZWVyjQLCwsAHj58+K/yZ5UgS0Q36xfqu+dxWS43J8gSsi0b/67czCleXL/yN5v2reTYxd0kJyYTfDeUt69jUUeCLEHlSz7zeXxcvNJ0mSwx27KZmWZN8eLGlUA271vJ0Yu7SEpMIvhuGG9ev1Urk0wmQ09fufKjpyd/Hpc1U3wCevqqmeJi46loWYFJUz3p39uTtLQ0tTJklZSQiFRPqjQt83lifPaXUSvUsGKM70yiwp+wrM+fpKelk5osPwk86XOApyGPSEtJ48z6o8Q8fo5doxpqZUqVJaGV5WRB612m5LjsM6Unp5KRls6TC7cJ3XWBiu0c0NCS4LRiMMHbzyB79oqU+EQuTFqPfqmilG1gp1Ym+TGepVKhOJ7U61KRKSkxmZTkFDZ7b+fZ42gatnD89EIfSJYloZ0lU+bz5Bzeu7R3++n+hdsE7jlP1Z8clObX6NII103jOL/Yl3ML96qVB+SVL/2sx61+5neBcit2fLwMfb2snwddYrN8FhITk0hOTmbJ4tU8evSEVj82RR1psiQkWY7xzL6xqXHvK32aOtpU9h5O6KS1JD1+QVYZyfLv50cr9iO794iMlFQerz5C4sPnGDupd4yrQ09Xl4Qk5Qp5YlIS+u++S/R0dUlIzHm+UPBElwNBwdnZmQYNGnDmzBnOnz/PpUuXWL58OT4+PixcuJD0d2fSs2bNomTJ7O8+NzOTn9Wnp6djaWnJhAkTctyekZGR4v81NDSYOnUqwcHBbNq0iR07dtCpU/Y3guSWpubHz9cyL9d4enpiZ5f9H94SJUpkOz2TVCpVmZa5nz51Z7a6goNCMTYpgklxY14+l/dxs7SpwNPHz4iLjctSNowq1WyVplnaVOCfm3cBKFmqBEvnreL3sX8CYFS4EL8Oc+fWzTtqZgqjqEomi3eZlP9ghgSFUaWajUqmW5/IlJk5t4LuhGBiUpTixU14/lx+6drGtiKPHz1V6gIBEHQ3mGrfVVGaZmNryc0b/9C2XQsKFzHC7+weAEUrT2jkFUZ7/sbunQdynenJvYcYGhtRqFhhYl+8AaC0lSkxT16QmE2/QPtOjen8mzv7523npM/77cS/iuXt89doSZVbPjUlmmhoaGRdzUfF3HuIrnEh9IoZkfBCftJQ1KoscU9ekpIlU91J8pv8Lv+xWTFNoqNF0ut4tA100C1iiOYHmTLS0slIzyA9JRV1hN27TxHjIhgXK0rMC/kJr4W1OVFPoonPcjx9yqp9S9m0Yht+B9/fsCqVaqt90vb83kP0jQthUMyI+Hf7qZhVWd48eUlSlv3UbKK8n/bxae/79GpJtUl4LT/uNDQ1aDXNHVvn2mzrO4/7F26rlSXTnTvBmJgYU7yECc+j5ce4ra0Vjx495W2WY/zu3RC+y3KM29pacePGLQCOndjBksWr8N17RDFfRyrl1as3amWKD3qAtokR2sULk/Jcvqy+tSmJj1+QFvv+ZKRQ9YroWZTB1ssDvN534am6cRzPtp8hZKwPyc9fo5HlGNeQaIKax7g6LC3Kczc4TGlaWMQDqthYvZtvTtj9SBrVl1+VSElNJfLhY6wsyn+xTJ8iuhwoEy20AgDx8fFcv36duLg4WrVqxYwZM/Dz82PDhg0A+Pj4YGpqCkDRokVxcHBQepQsWZKEhAT09eWXscqWLcvr16+pV6+eStmUlBQ0NTWVKoPm5uZ06dKFESNGULp0aWbNmsWzZ8++6GsuW7YsIL9ElzVjhQoViIuLU7yenERGqvZ9Cw8PB6BCBfVu9PiUyPCHXLl0g4nTPDEw0Me0XBkGjujDjk2qIzL4bj9EXYeatPypGRKJhJY/NaOuQ032bpf/0pn7r92ZvWgq+gZ6GBUuxG9/juWfwCC1K7SR4Q+5eukGEz7INGBEH3Zu2pdNpoPUcahJy5+avsvUlDoONfHdfgiAnr92Y9aiKYpMU/8cy+08ZAoPj+SS/1WmzRqPgaEB5cqbMmLUADZt2KlSdvvWfTg41uEnl5ZIJBJ+cmmJg2Mdtm/1xeuv5ZiXqYFl+dpYlq9Nt86/AmBZvrZalVmA5xHPCA24S6fJPdEx0MXEtDitBnfAf/splbI1nOvSdVofVvw6V6kym+nc5uO0GtIB08rl0ZRo0rhnS4qUNObmMdWbaz7m7f0onl2+R72prmgb6FLIrDg1hrbj3lbVEUueXQ6ikmsTStW1AQ0NyjWtgUXbegRtPkXyGxnPLt+jzvgu6JoYIdHRps6ELiTFxPIsIDibLefs4f1H3Lj8NyN+H4y+gR5lzErTe5gbvlvU/4W+f67fof/IXpQqWxJtqTb9RrqjLdXm7LHzaq0nJiKKBwFBtJjsitRAlyJmxWk4pB03t51WKRt5OYia3ZtQro4taGhg7VSDKm3qcX2r/H1uPtkVy0bf4dNmUp4rswDhYRH4+19h1uxJGBoaUL68KaPGDGLDetURVrZu2YNjg7q4tG+FRCLBpX0rHBvUZesW+Yna1as3GTdhKGZmZZBKpYybMBSpjpTDhz7e3SqrhPvPeH3pLpZ/9ERioItuuRKYj+jAs83KXa/eXA7inHl3zlv3VDwAbvWYSchYHwCerDuOuWdHDKuYoyHRpGyflkhLG/Pi8BW191VutXF24sr1QI6cPEtqahpHTp7lyvVA2jg3AcDlx+Zs3rmPoJBwkpKSmb9sDSbGRalZveoXy/QpYtguZaJCKwDySljXrl3x9vZWml6lShWkUikSiYSmTZuioaHB8uXLSU5+fwdzcnIy48ePZ+DAgbx+Lb/5oUWLFrx48YJNm5TvPr5z5w4eHh54eXll26JkaGjI1KlTiYuLY+LEiV/glb7n6OiIvr4+q1evVrpMl5GRwcyZMxk8eDBhYWEfWYN8yK+///5b8Tw5OZnVq1ejq6tLkyZNPnvmwb1GI9HSwu/afnYeWcdZv4ssmSv/I3Az4hxtO8iHEgoPjcDjl5F4DHPnaugpBnn2YVCv0USEPwBgzu8LefPqLaevH+BEwF7S0zPwcB2Rx0xjkGhJ8Lu2jx1H1nLOz1+R6UbEWdp0cH6XKZIBv4zk12HuXAn1Y6BnXwb3GvNBpkW8efWWU9f3czxgD+np6Xi4euYpUy+3IWhpaXEt8CRHTm7H7+Q55v4pHwIu4vF1OnRqA0BoSDi/dB/IsBH9CY28gufoAfRyHUx4WESetvsx3gPmoSnRZNq5xYzZO4PbZ/7m0EJ5Jdvr9npq/yS/FN5qaEckWhL6LfPE6/Z6xaPrdPmoHQfn7+TYin30WTScuYFrqePSgCXuM3nzwc04uXWi/wI0tTTpctGLn/ZP5dHpQG7Ml1d0et7zoaKL/FJ55LHr+E9aT8M5ffjl9gq+H+bCib4LiL4WoljP2/CndDg+g25XF1LUqiyHu/9JaoJ6N6oBjO07GYlEgu/lbaw5uJyLpwNY5bUOgDMhR3B2UR2FITuLZ6zA/9RlVu9fxqHru7CtasOAn4cR+ybu0wtnscNjAZpaEoacn0/vvb8RdiaQswvl+2nsnVXYtZPvp+Dj1zgyZT1tZvdhdKA3DYa6sKP/fB5dC0GvqCG13ZphWLwIHsdnM/bOKsUjc3l1uPUYiJaWhMDbpzl5ejcnj5/lz1mLAXj8LJBOP7cFICQ4nO5dfmXESA8iH11n9NjBuHYfSFhoBABTJ8/hxLGzHPfbSVDIBapXt6PNjz14rWZXH4DbfeaiIZFQ78oSvj88gxi/m0TM2wVAg/ANlOiQu+4eEX/t4MFiXyp7D8cxZB0lOzbkVrcZJD9Tf/SFj6nd1IUDR+UVbovyZiycNZmV67fh4NyJ5Ws24zV9Aubl5A057Vs3x7WzC8PG/0GDH7twNziMpXN+Q1tLXOj+WmhkiDZr4Z1+/fpx9uxZWrduTa1atUhKSsLX15c7d+6waNEimjVrxvz581m2bBnW1ta0bdsWPT099u3bx99//02vXr0YM0Z+F3FcXBxdunQhJCREsb7o6Gg2b95MUlIS69at47vv5HeGNmnSBKlUypEj7y95jRgxgoMHDzJjxgw6dOig1usYO3Yse/bs4fz580r9aC9fvoybmxuenp7069cPgB07djBp0iTKlClDx44dKVq0KCdOnOD8+fO0aNGCBQsWoKGhwe7duxk3bhzz5s3jxx/lY4fa2Nigo6ODlpYWrq6uGBsb4+vry+3bt5k0aRI9evTI83thVbxmnpf9EjT4cpf68upVsnqXjvNDx6IFc7fzx3yfqtotpqB5pz8o6Agq2mjn7YcgvqS5Ly8VdAQVvgb/7gcOvoT6t2cXdIRsaRez+KLrL2qYtx8Kyc6ruNBPF/rKiVMLQcHLywsfHx8OHz7MiRMnkEgk2NnZ4e3tTcOGDQEYNmwYVlZWbNiwgaVLl6KhoYG5uTnTp09XqngaGhqyZcsWli1bxrFjxzh69ChFihShTp06DBgwgEqVPv5LNBMnTuTChQvMmjULR0fHHPvs/luZQ2utWrWKVatWkZaWhpmZGWPGjKFHjx6f7JdYu3ZtWrRowbJly4iJicHGxobFixfTrFnuWpEEQRAEIS/+K6MTfC6ihVYQ8sjGxgZHR0dWrVr12dctWmg/TbTQ5o5ooc0d0UKbO6KFNve+dAttYcOcx0hX15u4j3ev+xaIFlpBEARBEIRvjGiPVCYqtMJX7/Xr14qxYz+lUKFCivFmBUEQBOG/6r8yOsHnIiq0wldv8ODBBATkbkiimTNnqvxCmCAIgiD812R8RX1oX7x4gZeXF2fPniU2NhZbW1sGDx5M/fr1P7nsgwcPmDt3LgEBASQmJlKjRg1GjBiR4/jwOREVWuGrN2bMGN6+zd0QMpaWn++uz0+5d+/epwsJgiAIwn9YfHw87u7uPHjwgF9++YWSJUuyfft2+vTpw8qVK3F0zHm4tqioKLp3705KSgqurq4YGBiwYcMGevTowdatW7G1tc1x2axEhVb46ql7liYIgiAI/3VfS5eDjRs3EhwczPLly2ncuDEA7dq1o127dvzxxx8cOXIkxxGDlixZwsuXL9m9e7ei8tqqVSt+/PFHZs+ezZo1a3KdQ/ywgiAIgiAIwjcmIyPjsz3+DV9fX8qXL6+ozIL8Fzh//vlnIiIilH586ENpaWns37+funXrKrXElihRgh9//JGLFy8SFRWV6xyiQisIgiAIgiCoLTY2lvDwcKpVq6Yyr2pV+c8C51ShDQkJQSaT5bhsRkYGt27dynUW0eVAEARBEAThG/M13BQWFRVFRkYGpUuXVplXokQJAB4/fpzjskCels2OqNAKgiAIgiB8Yz7nOLROTk4fnX/y5Mlsp8fGyn/gRk9PT2Wevr4+AAkJCWovmzktp2WzI7ocCEtj0XYAACAASURBVIIgCIIgCGpLT08HyPamr8wKd043hH1s2UyamrmvpooWWkEQBEEQhG/M52yhzakF9lMMDAwASExMVJmX2bpaqFChPC9raGiY6yyiQisIgiAIgvCNKfgetGBqagqQ7WgE0dHRQPZ9ZP/tstkRFVpB+AqFPL9W0BEE4YvpW9ABvhGTCzqA8FVLTc79DVNfiqGhIebm5tmORpA5LbtRDAAqVKiAgYHBR5f97rvvcp1F9KEVBEEQBEEQ8qR169aEhoZy9uxZxbT4+Hi2b99OxYoVFcN3ZSWVSmnevDkXLlwgODhYMT06OpqDBw/SoEEDjI2Nc51DI+NzdsIQBEEQBEEQ/m/ExcXRrl07Xr58Sc+ePSlevDjbt28nJCSElStX4uDgAMCNGzd48OAB9evXp1ixYgA8efIEFxcXNDU1cXd3R0dHhw0bNhATE8OWLVuwsbHJdQ5RoRUEQRAEQRDyLCoqijlz5nD27FlSUlKwtbVl6NCh1KtXT1Fm7Nix7Nmzh/Xr11O3bl3F9LCwMObMmUNAQAASiYRq1arh6elJ5cqV1cogKrSCIAiCIAjCN030oRUEQRAEQRC+aaJCKwiCIAiCIHzTRIVWEARBEARB+KaJCq0gCIIgCILwTRMVWkEQBEEQBOGbJiq0giAIgiAIwjdNVGgFQRAEQRCEb5qo0AqCIAiCIAjfNFGhFQRBEARBEL5pokIrCIIgCIIgfNNEhVYQhP8raWlpBR1B+A8Rx5MgfB0kU6dOnVrQIQRB+Pfc3NwoVaoUZmZm2c738/NjwIAB9OjRI5+TwZs3b/Dz8+P06dOULFmS1NRUnj59StGiRfM9S4MGDXj+/DnFihWjWLFi+b79nLx8+ZJr165Rvnx5AE6dOsXEiRPx9fXFyMgICwuLAk749RDH07cnMTGRwMBA/v77b4KDgwkJCVF5WFlZFUi2qKgo9u/fz6FDh7h8+TLPnj2jVKlS6OnpFUgeIW+0CjqAIAh5k5ycTGxsLAAZGRkEBATQsmVLrK2tVcqmp6fj7+/P48eP8zsmO3fuZMaMGchkMjQ0NLCzsyMhIYFBgwbh7u7OqFGj8jWPtbU169evZ926dVhbW+Pi4kKbNm0wMTHJ1xwfunfvHj169KBkyZI0aNCAyMhIBg8eDIC2tjaDBw9m5cqV1K9fv8AyZkpPT+fy5ctIJBJq166NhoZGvm5fHE+5s2LFCpo2bUrFihULNAfArVu3GDhwIM+fP892fkZGBhoaGrRq1Sqfk8HixYtZsWIFKSkpStP19PQYNWoU3bp1y/dMQt5oZGRkZBR0CEEQ1BcVFYWzszOJiYnA+z8KH1O9enW2bNmSH/EAOHv2LP3796dmzZq0aNGC6dOns2bNGkqUKMH48eMJDAxkxowZuLi45FsmgOjoaPbv38++ffu4d+8eWlpaODo64uLiQuPGjZFKpfmaZ+jQoVy6dIkZM2bg5OSEl5cX3t7ebNiwgUqVKuHq6krhwoVZs2ZNvuZKT0/Hy8uLiIgIFi1aRFpaGj169ODmzZsA2NnZsWbNGgwNDfMljziecs/W1hYNDQ3MzMxwcnLCycmJmjVr5vsJCEDXrl25e/curq6ulCtXDi2t7NvS8vt927FjB5MmTaJatWq4u7tjYWFBeno6YWFhrF69mrt377J48WKcnJzyNZeQN6JCKwjfsD179hAQEEBGRgZ79+6lVq1a2XY50NTUpFixYnTt2pVSpUrlW74ePXogk8nYsWMHb9++xd7enjVr1mBvb09KSgrdu3cnPT2dnTt35lumrIKCgti3bx/Hjh3j8ePHGBkZ0apVK9q3b0/VqlXzJYODgwPdu3dn4MCBAPz000/ExcVx8uRJANavX8+iRYu4cuVKvuTJ5OPjw19//aV43w4ePIinpyfNmzfHysoKb29v3Nzc8q1VVBxPuffw4UNOnz7N6dOnuXLlCikpKRQpUoRGjRrh5OSEo6Mjurq6+ZKlRo0a9O3blwEDBuTL9nKrTZs2GBgYsGnTJiQSidK8lJQUOnfujFQqZevWrQWUUFCH6HIgCN8wFxcXRatGQEAA7u7uX1Vrwu3btxk0aJDKHwuQX0r/6aef8PLyKoBk79na2mJra0uXLl1YunQpe/fuZcuWLWzduhVra2sGDRpEs2bNvmiG2NhYxYnGixcvuHfvHh07dlTM19HRITU19YtmyM7+/fv54YcfWLFiBQBHjx5FR0eHWbNmoa+vz9u3bzl27Fi+VWjF8ZR7ZmZmuLq64urqSkJCAhcuXOD06dOcO3eOvXv3oqOjg4ODA0uXLv3iWQoXLoyRkdEX3466Hjx4wKhRo3I8ntq1a1fgx5OQe6JCKwj/EX5+fgUdIVsfu9yakJBAenp6PqZR9uzZMw4cOMD+/fsJDg4GoHbt2rRv3x4NDQ22bNnCkCFDGDFiBH379v1iOUqVKkVERAQgfx81NDRwdHRUzL969SqlS5f+YtvPSWRkJN27dwfk3Q8uXrxIjRo10NfXB8DGxoZt27blayZxPKlPT0+Ppk2bYm5ujrW1NZs2bSIyMpJTp07ly/ZdXFzYvXs3nTt3RltbO1+2mRulSpX66H0FMTExBXKjoZA3okIrCP8hMpmMEydO8OLFi2yHE9LQ0KBPnz75lqdy5cocO3YMV1dXlXkpKSns27cPW1vbfMsD8PbtW44cOcL+/fu5du0a6enplC1blgEDBuDi4oKpqamibJs2bWjfvj2rVq36ohWQBg0asGHDBmQyGYcOHcLQ0JAffviB6OhovL29OXjwIB4eHl9s+znR0dFR3Czz999/Exsbi729vWL+y5cvKVy4cL7lEceTeiIjI7l8+TKXLl0iICCAly9fkpGRQfny5encubPSe/klDRw4kMDAQFq2bEmTJk0oVqyYSl/e/P5uAujfvz9TpkyhTp06NG7cWGleYGAgGzduZMyYMfmaScg7UaEVhP+IW7du0atXL+Li4sipa3x+/9Fwd3dn0KBBjBgxAmdnZ0B+A82ZM2dYvnw5ISEhzJ07N9/ygLy/alpaGrq6urRt2xYXFxfq1q2bbVmJRIKFhQUvX778oplGjRrFgwcP2LRpE4aGhsyYMQM9PT2CgoLYuHEjjRo1yvc/9gCWlpbs37+fVq1asXbtWjQ0NBR/+KOjo9m+fTuVKlXKtzzieMq9Ro0aERUVBchbIh0cHLC3t8fe3j5f+9EDnD59msuXL5Oamsr69euzLVMQFdo7d+5QokQJBgwYQKVKlbCyskIqlRIREcG1a9eQSqUcO3aMY8eOKeX09vbO15xC7oibwgThP8Ld3Z1r164xYMAA7Ozscrw0W6dOnXzNtWrVKry8vEhLS1MZieHXX39l6NCh+ZrH1dWV9u3b06JFC8Wl84+JiIjAyMgIY2PjL54tJiYGQ0NDxXsnk8kIDw/Hzs7ui287O+fOncPDw0Px3jVo0ICVK1dy7do13N3dycjIYM2aNdSqVSvfMn2Nx5OLiwvOzs5f1fGU2VJdpkwZWrduTb169ahZsyY6OjpfdLvZadOmDc+fP2fQoEFUrFgx2z6rkP/fTXlpzdfQ0ODu3btfII3wb4kKrSD8R9SoUQM3NzeGDx9e0FFUPHnyhGPHjhEZGam4JNusWTMqVKiQ71m6dOlChw4d6NSpU75v+1t09epVDh06RKlSpejRowf6+vo8ePCAGTNm0LdvX2rWrJnvmb6m4ylzdJEPuxZ8KDQ0lOPHj+d7l5GXL1/i7++veERFRSGVSqlevTr16tXD3t6eatWq5Vi5/JyqVavG8OHDcXd3/+LbEv5/iQqtIPxH1K5dm5EjR9K5c+eCjqKQeWm4efPmBR1FoWrVqkyYMIEuXboUdBQlV69eZe/evR/t/5zflzqfPHmCsbFxjsM7vX37lrt37+Z4if1LefjwIaVLl1aMZ3rjxg0KFy5cIL+mVqlSJebMmUPr1q2znb9161ZmzJhBYGBgPidTFhoair+/PxcvXuT69eu8ffsWfX19rl279sW33bx5c7p160bPnj2/+LaE/1+iD60g/EfUqVOHCxcufFUV2hMnTvD9998XdAwlFhYWX90lw/379zN69Ogc+z4DBTIgvpOT00cra8eOHWP69OncuHEjX/KkpqYyadIk9u7dy4EDBxS/grVx40YOHTqEm5sbY8eO/aL76sGDB0ybNk3xXmVkZODj48P/2LvzuBrz9/Hjr9OqCENGsu8yLcxkzxhLm63FLqGx1VQ+xjJjGMx87UJ2TSpCGGWpLEljGTIz9pkxamwjCSUtJJLT+f3Rr/ORivg49zma9/Px+Dw+Tvfd3NejQ+e63/f1vq7IyMgS5xYUFHDp0iVJylVep27dujRo0IDk5GRu3rxJdna2ciiLqg0bNoytW7eqfYLagQMH3ur71DHBTHhzIqEVhAriq6++ws3NDT8/P+UHh5aWVonzpPxAMTExIS0tTbLrlceECROYNWsWqampdOzYEWNj41J/TlJ+iAUFBVG7dm2WL1/+yvpnVUtJSSn2oa9QKDh69Ch3794tca5CoSAmJkbSNkwbN25kz549ODs7F2unNG7cOCpVqsTmzZtp0qSJSm/qGjRoABTWF0PhjUZiYiKJiYklztXS0qJmzZpMnTpVZfG8yqVLl4iPj+fkyZNcvHiR58+fU7lyZWxsbPD09OSzzz6TJA4dHR3kcjl2dna0a9cOY2PjEtPCZDIZc+bMUWkckydPfqObHXWO5BXenCg5EIQKomPHjjx9+pS8vLwyz5HJZFy+fFmymI4fP860adPo378/HTt2pGbNmqXW7FlaWkoW08sbQV7+gCv6EJNyFdfS0pLJkyer/ZGsXC7HycmJa9euAYU/m9d9RHh4eEjW2qh3796Ym5uzZMmSUo9/+eWX3Lhxo9TVUlVp1aqV8iZSk3Ts2JHs7GwUCgWmpqb06NGD7t270759e8l7wZZn85UU/+b27NnzVt8n9Uhe4e2IFVpBqCA+++wztTyWfpUJEyYAhY+Ew8LCyjxPyuRx4cKFkl2rvKpVq1bqKrHUtLW1CQwM5Pbt2ygUCkaNGoWnpyedO3cucW7ROOVGjRpJFt+dO3demfR37NiRY8eOSRYPFI4lbtasmaTXLI969eoxatQoevToQcuWLdUaS9EIZ3UTiWnFJhJaQaggFi1apO4QSvD29ta4JFsTP9Ts7e2JiorC3d1d7T8vU1NTTE1NAfDx8cHOzo4WLVqoNaYi1apV4/r162Uev3XrFpUrV1ZpDA8ePMDIyEhZFtK0aVMUCsVre8tKXTsaERGh/HN6ejp37tyhcePG6Ovro6OjI+kNVN26dSW71tu4ceMGcXFx3LlzB3d3dypXrsz169fp0qWLukMT3oAoORCECkYul3Pp0iVSUlJo3749lSpVoqCgQCNnqavTrVu3iI2N5fbt2+jp6WFqakrPnj2pX7++5LFcuHCBqVOnUqtWLRwdHUudpARic8qsWbOIiooiICCgxJSrS5cu4e7ujr29vUpv7szMzFiyZImyxKBVq1avvQmRutSnSGJiIt999x2///47ACEhIRQUFPDtt98ya9YsevToIWk8169fJzc3t1gZy/Pnz3n06BHx8fHMmDFD0ngAVq1aRUBAAAUFBchkMkJCQsjJycHX1xdHR0f8/PxK1PsKmkm8S4JQgZw4cYI5c+YoN/GEhITw7NkzJk2axNSpU3Fzc1NLXNnZ2cTHx5OSkoKjoyOGhoZkZWWppc0SQGBgIKtWreL58+fFvu7n54evry+enp6SxjNs2DCgcFPWxYsXy6zrVXVC27t3b7766ivlZqHyXE8mk7F//36VxlXEx8eHn376ic8//5yPPvqIRo0aoa+vz82bN7l48SLVqlVT+WAFZ2dn5cawotfqXlUvzY0bN3Bzc0NHRwcHBwdiYmIA0NPT49GjR0ycOJFNmzZJMhTj9u3beHt7c+XKlVeeJ3VCGxUVxbp16+jTpw+Ojo74+PgAha397OzsiImJwcrKSu217UL5iIRWECqIP/74Ay8vL+rWrYuHhwcbN24ECh911qhRg3nz5mFiYkLPnj0ljSsiIoIFCxaQm5uLTCbD3NycJ0+e4OPjg4eHB9OmTZM0nri4OJYvX07r1q3x8vKiWbNmFBQUcPXqVQIDA1m5ciUtWrSQdPVKU+p6nz59WqwHrlRtncqrdu3a7Nmzh+XLl/PTTz9x6dIlAAwMDLC3t2fKlCnUqVNHpTG8/F5pYqkPwMqVK6lUqRJ79+5FW1ubgwcPAoX9qqOjoxk2bBg//PCDJAmtv78/V65cwd7eHgMDA/bu3cv48ePJyMggNjaWvLy8V9bYq0poaCjt2rVj2bJlZGZmKr9uYmLCqlWrGDNmDLt37xYJ7ftCIQhChTB27FiFra2t4vHjx4oHDx4oWrZsqTh16pRCoVAoHj58qHB0dFS4ublJGtPx48cVrVq1Uri5uSk2b96sjOnatWuKwYMHK1q1aqXYvXu3pDENHTpU0a9fP0VeXl6JY3l5eYp+/fop3N3dJY1JUxw6dEhx7949dYdRbhkZGYr79+8r5HK5ukPROB06dFCsWrVKoVAU/pxe/H2gUCgU69evV3Tu3FmSWLp06aKYMmWKQqFQKLKzsxUtW7ZUXLhwQaFQKBS3bt1StGvXTuHv7y9JLC+ytLRUhIaGKhSK0n9G27dvV7Rp00byuIS3o/5ttYIgvBMXLlzA1dUVQ0PDEo9AjYyMGDx4MFevXpU0psDAQMzMzAgNDS3WnL9p06Zs3boVCwsLyVdmEhMTcXJyKrXXq56eHk5OTmobvHDr1i2CgoL47rvvWLBgAZs2bSI5OVmy68+cOVPZXxVg5MiR/PLLL5Jd/0198MEHZfYRlopcLic0NJTPP/+cvn370rt37xL/69Onj+Rx5ebm8uGHH5Z53MjIiJycHEliycrKUq4EV61aFRMTE/766y8A6tevz4ABA9TSCUFXV7fUqXxFMjMzRf3se0S8U4JQQeTn579y45dMJntlj1pV+Ouvv/Dx8Sm196yuri5OTk74+/tLGtPryGSyErW1UtCEut7nz58re9ACnD59msGDB6v8um9i7969REZGvnJEsFQ1vQArVqxgw4YN6OjolNlnWR0aNmzI+fPnyxwyceLECck2QBoaGhbbCFavXr1i9bRNmzYlPDxcklheZGVlRWRkZKklBTk5OYSHh0vaI1v434iEVhAqiKZNmxIfH8/w4cNLPR4bG6uWTVivmnr15MkTCgoKJIymcJd6dHQ0I0eOLNFg/tmzZ0RGRkret1NT6no/+eQTQkNDOXDgAFWqVAFgyZIlrFu3rszvkTKB3LRpE4sWLUImk1GzZk21TVR7UXR0NO3bt2f9+vUqbxn2JpycnFi+fDlt27ale/fuQOF7lZuby+rVqzl+/DiTJk2SJBYzMzOOHTum3PzYuHFj/vjjD+XxO3fuqOVGwMvLi1GjRuHm5oadnZ2yG8U///zDxo0buXfvHvPmzZM8LuHtiLZdglBBRERE8O233zJu3DhsbW0ZPHgwwcHBmJiYsHr1ag4dOsTs2bOVHypScHNzQ0tLiy1btpCZmUmnTp3YuHEjnTp1Ij8/nwEDBlClShW2bdsmWUyHDx/G19cXKysrxo0bR9OmTYHClkKBgYH8+eefLF++HEdHR8liGjZsGI8fPyYiIqJEkvbs2TMGDhxI9erV2bx5s0rjSEtLY+HChSQkJPDs2TPu3r1L9erVMTAweOX3HTlyRKVxFXFwcEBHR4fg4GBq164tyTVfp23btsyYMYNBgwapO5Ri5HI5Pj4+HD16FG1tbQoKCqhevToPHz5ELpfToUMHgoKCJJkatn//fqZMmYK1tTUBAQFcvHiRsWPHMnDgQJo1a8batWuxsLAgJCRE5bG87MCBA3z//fdkZ2cD/52OZ2BgoJHvq1A2kdAKQgUyd+5cwsLClL+Ui2ppFQoFTk5OLF68WNJ44uLi8PHxoXfv3jg4ODBx4kQWL15M9erVlR9sy5Ytk7y/akBAAKtXry6xOiyTyfjiiy+U7Xuk0rZtW3x8fBgzZkypx4ODgwkICODMmTOSxqVpY10tLCyYPn262trPlWbkyJG0atVKLT1UyyMqKoqDBw9y69YtCgoKqFu3Lvb29ri6ukq6KhoUFERQUBAnTpxAV1eXGTNmsHv3bqBwYEZISAgfffSRZPG8KDc3l/j4eJKSkigoKKBevXrY2NiI3t3vGZHQCkIFc+7cuVI/wEobXyqF4OBg/P39kcvlxZJsAE9PT5X3DS3LrVu3iIuLIzk5mYKCAurXr0+vXr0kHeVa5HUJbUhICKtXr+bChQuSxrVnzx7atWtHvXr1JL1uWXr06IGbm1uZPyd1+PPPPxkzZgzTpk3DwcEBIyMjdYekcfLy8tDX16egoKDYBr5z586RmZnJxx9/TI0aNdQYoVARiIRWEIR3Ji0trdSd1Xfu3CE2Nla5AlK3bl1sbW1p3Lix5DHu3bsXa2vrMpO0a9eucfjwYby8vCSLafjw4eTm5hIeHl5qXe+gQYMwMDBgx44dksX0ovj4eGJjY7lz5w5ffvklBgYGnDlzBmdnZ0nrWFetWsX+/fuJiopCX19fsuu+Sk5ODt7e3pw+fRoo3Oz4cpcRmUzGxYsXVRrHyyN5XzeKt4gUI3nt7e0ZPHiwRt2IFMnKyuLUqVOkpaWRn59f4rhMJmPs2LFqiEx4U2JTmCBUMKmpqaSlpVHWvaoqd+06OzszadIk5c74NWvWYGdnR4sWLTSmOfk333yDn59fmQnt2bNnWb9+vaQJrYeHB76+vowYMaLUut4rV66wfPlyyeIpolAomD59OlFRUcrV9c8//5ykpCRmz55NVFQUgYGBGBoaShKPmZkZkZGR9O7dm549e5Y6IljqBGTu3Ln89ttv1KxZk4YNG6qty4GNjU2xkbxdunTRmJG8d+7c0cjH93/99Reff/45Dx8+LPP3pUho3x8ioRWECiIpKYlJkyaRmJj4yvNU2WM1JyeHx48fK1+vWbOGRo0a0aJFC5Vd83Vu3brFvHnzlB9YCoWCoKAgIiMjS5xbUFDApUuXJH/8aWtry6RJk1i9ejW+vr7FjslkMry9vSXdpFZky5YtREZGMm7cOOzt7Rk4cCBQmDyNHj2aTZs2ERwcXCJmVXnxOmVtkJM6ATl69Ch2dnb4+/urtWWXJo/ktbKyIj4+XuM2WC1dupTc3Fy8vLxo06YNlSpVUndIwv9AJLSCUEHMnTuXK1eu4OjoSIMGDdTSELxJkyasWbOGy5cvK1sY7dq1i7Nnz5b5PTKZjDlz5qgspqIP+aKBATKZjMTExFITfy0tLWrWrMnUqVNVFk9ZPD096d27N4cPH+b27dtqr+sFCA8Pp2fPnkyZMqXYaFAjIyOmT59OamoqBw8elCyhVXWXh7fx/Plzunbtqvb+s5o8krdfv34sWbKE/v3706FDh1KHYahjJfT3339n5MiRTJw4UdLrCqohamgFoYKwtrZmyJAhTJs2TW0xnD17lkmTJpGeng78twXOq8hkMkknc2nazn1NZmlpyfTp0xk+fHiJtmsAO3fuZMGCBSqvD9VkEyZMoEaNGiUSSnUbMWIErq6uODg4SFYSUpZWrVq99hypfw8AtGvXjq+++krjVo6FtyNWaAWhgtDT01P7bnRra2tOnDhBeno6eXl59OrVixkzZtCzZ0+1xvWizZs3K2tU1WXDhg306NFDGceGDRte+z3qWMEyMDDg0aNHZR6/e/euWh7TvrxJzdDQkNOnT0u+SQ3g66+/ZsSIESxZsoTevXtTq1atUp+OSLH56kV///03M2bMYO7cudjb2+Pi4kKHDh0kjaGIJq6sA3Ts2JETJ06IhLaCECu0glBBzJ07l2vXrhEaGqruUJQ+/vhjNmzYwCeffKLuUEpIT0/H2NgYKNy0Eh4ejra2Nq6urpiamqr02i+vEmvqCpavry8JCQlERUWRl5dXbIU2NTUVZ2dnPvnkE9asWSNJPKVtUgsJCSErK4svv/wSa2trSTepQWFS9PTp01eOlZZq89WL8vPzOXr0KFFRUfz888/k5+dTp04dXFxccHZ2lmzsrSZ5ufPDzZs3GTt2LAMGDMDV1RVjY+NSS0ekvhkR3o5IaAWhgnj8+LFyBc/BwYFatWqVep6UQwzat2/PkCFDmDJlimTXfJ3MzEw8PT15/vw5u3bt4uHDhzg6OpKRkYFCoaBatWrs2LFDpS3FTp8+TdOmTZUflEUtn16nffv2KoupNH///TdDhgyhdu3adO/endDQUEaPHo2Wlhbh4eE8efKE7du3Y25uLkk8mzdvZsGCBcU2qW3cuBFzc3PWrl3Lpk2b8Pb2lqymF2D69Onl2nylzpKER48eceDAAaKiojh//jxQOObY1dUVV1dXlV//dQNBZDIZenp61KxZk7p166osjlatWpV4r17ujV1abFLfjAhvR5QcCEIFkZCQwI0bN8jOzubChQtl/uKWMqF9/vw5derUkex65bF27VplM3woHB7w4MEDpkyZgqWlJVOmTGHt2rUsXbpUZTG8nJjWq1ePGjVqlPn4/uHDh5KvzgK0bNmSoKAgZs6cyaZNmwDYuHEjAKampixbtkyyZBY0b5MaaNbmq7IYGRkxZMgQhgwZQkpKCgsXLiQuLo5z585JktC6u7uXu+OCsbEx33zzjUp+T2lS5wfh3RMJrSBUEIsXLyYvLw8PDw+aNGmili4HL3N3d2fTpk1YWVmpbazly44ePcqwYcOUq8Y//fQT1apVY+zYschkMoYNG8b27dsljalnz574+fnRt2/fUo/HxsYyf/58ySeFQWFd9KFDh0hISODmzZsoFArq1q2Lubm55Dv7k5KSGDZsWJnHO3XqxNGjRyWMCFxdXXFxcaFPnz4aPe3q/PnzREdHExsby4MHDzA2NpZsY+TcuXNZtmwZeXl59OvXj6ZNm6KvyeFCEQAAIABJREFUr8+NGzfYv38/ubm5DB06lCdPnnDkyBGmTp1KjRo16Nix4zuN43+9+cjLy+PgwYPY2Ngoy5UEzaH+TzxBEN6JK1euMH78eLy9vdUditI///xDeno6AwcOpEqVKtSoUaNEEiSTydi/f79kMaWlpdG6dWugcIb7+fPn6dGjh3Llpnbt2jx8+FClMaSkpHDgwAHla4VCwdGjR7l7926JcxUKBTExMSUmiEnNzMwMMzMztcagiZvUHj9+zPz581m8eDHdunXDxcWFzz77TCNuKK9fv05UVBT79u3jzp076Ojo8Nlnn+Hq6sqnn34q2Q3JzZs30dHRYffu3SXq08ePH8+AAQPQ09Pj66+/ZurUqQwdOpSgoKB3ntD+rx49esQ333xDSEiISGg1kPr/xQmC8E5Ur16d6tWrqzuMYi5dulQsrvz8/FLHS0rpgw8+ICMjA4Bff/2V58+f06VLF+Xx69evl1l//K6YmJgQGRnJtWvXgP8m9a9K7D08PFQaU1mSk5PZt28f6enpyOXyEsdV3Uf4Re3btyc8PBx3d/cSx1JTU9mxYwfW1taSxFLk0KFD/P7770RGRnLw4EF++uknqlevTt++fXFycsLCwkLSeIq4uLiQmJiIQqHAzMyMUaNG0a9fPz744APJY4mKimL48OGlbrY0NjZm2LBhhIWF8eWXX1KlShVcXFzK1flDHcS2I80lElpBqCCcnZ3ZuXMnAwcO1Jg590eOHFF3CCVYWFiwbds2GjRowPr169HW1qZ79+7I5XKOHDnCzp07sbe3V2kM2traBAYGcvv2bRQKBaNGjcLT05POnTuXOFdLSwtjY2O1DFc4efKkcgNdWaRMaH18fBgyZAguLi50794dmUzGzz//zMmTJ5Wb1Dw9PSWJ5UVWVlZYWVkxY8YMjh8/TlRUFLt27SIsLIwmTZrg4uJC//79+fDDDyWLKTU1FXd3d1xdXcvVRUOVcnJyXtl5olKlSsWeilStWvWVXSMEoTSiy4EgVBCxsbEsXLgQmUxG9+7dMTY2LvHYU51zyQsKCsjMzMTIyEjyXqEvunXrFiNGjCAtLQ0ofOQ5efJkfvnlFzw8PDA1NWXLli0q3W39sjVr1mBnZ6fWEcGlGTp0KDdu3GDWrFmYm5uX+b5J+bM6e/YsM2fOJCkpqdjXTU1N+f777+natatksbxKRkYGS5YsYe/evchkMrS1tenWrRuenp6SrNpOnDiRvn37Ymdnp/Jrvc6QIUPIzc0lIiKixM32s2fPGDRoENra2uzevRuA2bNnc+7cOUlLkcojPT0dGxubYsNFBM0hElpBqCA0tZdpamoqS5Ys4ciRIzx9+pSQkBC0tLTw9/dn5syZankkm5WVxa+//oqJiQlt2rQBCntURkZG4uLiopbHskWuX79OcnIy2traNGrUSK39Qq2srPDy8lLLqufraMImtZc9e/aMn376iejoaOLj48nLy6Nu3bq4uLggk8nYvXs39+7dY/78+Tg7O6s0FktLS7766itGjBih0uuUx5EjR/D29qZhw4a4u7vTuHFj9PT0+Oeff9ixYweXL19m+fLlODo6Mm/ePLZv384XX3yhUfsBQCS0mk6UHAhCBaGJ03hSU1MZNGgQGRkZmJub8/vvvwPw9OlT/vzzT0aNGsW2bdskfyRavXp1HBwcin2tZs2afP7555LG8aJTp04xf/58bty4UezrFhYWzJ49W9L2WEUMDAyoWrWq5NctD03YpAaFNZWnTp0iOjqauLg4Hj9+TKVKlXB0dCwxnWv06NG4urri7++v8oTWxMRE+RRC3Xr06MHChQtZuHAhc+fOVW7AVCgUVKlShblz5+Lo6Eh2djZbt27FxsZGrf8WhfeTSGgFoYLQxF6mq1atIicnh927d2NsbKysEe3WrRvh4eF4eHiwfv16Vq5cqbIY3ocxs2fOnGH8+PHo6ekxdOhQmjRpglwu58aNG0RHR+Pu7s6OHTto2bKlZDFB4ft0+PBhhg8fLul1y6KJ713Xrl2VE6isra1xcXHBwcGh1JrRypUr89FHH3Hq1CmVxzVz5kymTZtGbm4uHTt2pGbNmqWuYFtaWqo8Fiis8XdwcODUqVMkJSWRn59Po0aNsLGxUf6sDAwMOH78OLVr15YkJqFiESUHglBBmJmZvbKXaUREhOS9TG1sbHB2dmbq1KlkZmYWG50KsHLlSnbt2sXPP/+sshjehzGz7u7uJCcn8+OPP5b4ML9z5w6DBw/GysqKtWvXShYTFNYbe3h4YGFhQd++fTE2NkZLS6vEeVIlRa9672QymXJ4iJTvXY8ePXBxccHFxYV69eq99vyzZ89SuXJlla8uv/izetUwAalvchUKBRkZGejp6WFkZCTptf9XouRAs4kVWkF4T70PvUyzs7Np0KBBmcdr165dbOKTKmzevFm5Olv0WtP89ddfeHl5lboyZWpqipubm3JCl5SKNhSlpKRw6NChMs+TKikq7b2Ty+Xcv3+fqKgo7t27xw8//CBJLEXetJOHVG3FvL29NWoq1oMHD/Dz8+Pw4cPk5uYChSvWtra2TJkyRfR1Ff5nIqEVhPfU+9DL1NTUlMTExDKPnz17VuWjcV8eM/vya01QqVKlV/a31NfXV0tyomlJ0aveu/79+zNy5EiCgoIkayP2onPnzpXZqxeQdOQ0IOn439fJyMhg8ODBpKSk0KJFC5o3b45cLuf69evs2bOHX3/9lT179mhcH23h/SISWkF4T70PvUwdHBwICQmhe/fuyk1NRQnS1q1b2b9/P2PGjJE0piLp6encv3+/zEEPUj1GB3BycmLLli04OTmVWKXNycnhxx9/VPkmotJoUlJUHo6OjqxZs0bShPbmzZtMmDCBW7dulXq8qAxC6oS2SHZ2NvHx8aSkpODo6IihoSFZWVk0adJEshjWrFnDvXv3WLFiRYnNmIcOHWLKlCmsX7+eb775RrKYyistLU3ZP1hXV5d27dpRrVo1NUcllEYktILwHjM1NVVO3/Hx8dG4Xqaenp7Ex8czfvx4atasiUwmY/78+WRmZpKenk7z5s0lbwmVkZGBr68v58+ff+V5UtYWfvTRR8TGxtKnTx8GDRpEs2bN0NPTIykpiZ07d/Lw4UOqVatWbFOUlJufNCEpKo+HDx+Sk5Mj6TWXLl1KcnIyAwcOfGWvXnWIiIhgwYIF5ObmIpPJMDc358mTJ/j4+ODh4cG0adMkiePIkSMMGjSoRDILYG9vz6lTp4iLi5M8oQ0ICHjl75/du3ezePFifvvtNwCqVavGli1bpApPeEMioRWECsLHx+e152RkZFCjRg0JoilkYGBAWFgYISEhxMTEkJOTQ1JSEnXr1mXAgAGMGzeOKlWqSBYPgJ+fH+fOncPa2po2bdqU2RVCSlOnTlX+uaxa2VWrVhV7LVVCqylJEaDsJvCyp0+fcunSJTZt2iR5K69ff/2V4cOH8+2330p63df5+eefmTVrFp988gn29vbMnz8fgIYNG2JhYUFISAjNmjXDxcVF5bGkp6e/ckOfmZmZcqiClFasWIGenl6JFmGpqanMmjWLn3/+Wa09qYU3IxJaQahA4uLi2L9/P7m5uRQUFCi/LpfLefToEQkJCVy6dEnSmPT19fHy8sLLy6vU43l5eZKO6j127Bh9+vRh2bJlkl3zdTRxoxpoVlIE0KVLl1fW9GppaUnejF8ul0veTq08AgMDMTMzIzQ0lIcPHyrfu6ZNm7J161bc3NwICwuT5L2rVasWV65cKfN4YmKipDfaRfr06YOfnx+6urq4u7sDhTdwixcv5tGjR/Tp04eZM2dKHpfwdkRCKwgVxI4dO/j++++Vm4uK2hgV0dPTw9bWVtKYevbsyYwZM+jZs2epx6Ojo5k3b57ykZ4UivpyahJN3KgGmpUUQWEv09ISWm1tbT788EP69+8veZ24lZUVFy9eZNCgQZJe93X++usvfHx8Su09q6uri5OTE/7+/pLE0r17d3bu3Ennzp3p1atXsWOHDx8mIiKCAQMGSBLLi/z8/NDW1mbBggU8fvyYM2fOEB8fT506dVi6dCndunWTPCbh7YmEVhAqiB07dlCnTh02bNjA8+fPcXZ2VvZ3DQ4OZsuWLbi5uak0hqysrGKbY1JSUkhMTKRWrVolzi0oKODYsWPk5eWpNKaXtW7dWtkZQtP89ttvxMTEcPv2bfT09KhTpw729va0a9dOLfFoUlIEsGjRIsmuVV5Tp05l9OjRfPTRR/Tr10+jequ+qp73yZMnxZ7iqJKvry/Hjh3D19eXFi1a0KxZMwCuXbvGlStX+PDDD9WyAVFLS4vFixejra3NihUr0NLSYsSIEXz55ZdUrlxZ8niE/41IaAWhgkhKSmLChAk0bdoUhUJBpUqVuHDhAvb29nzzzTdcvnyZwMBAlfbB1NLSYvz48WRnZwOFq8Rr1qxhzZo1pZ6vUCj49NNPVRZPaSZOnMgXX3yBtbW15CvWrzJnzhx27typ3BVftLoeFhbGwIEDmTt3rlri0pSkSFPNmTMHPT095s6dy9y5c9HR0SkxfEImk3Hx4kVJ42rdujWxsbHKR+kvys/PJyoqSrKR0x988AE7duxg+fLlxMXF8ffffwOFfWj79eun1j60MpmMhQsXoqurS3h4OC1bthTJ7HtKJLSCUEHI5XLlSqhMJqN+/fokJiZib28PgK2tLcHBwSqNoWrVqixZsoQ//vgDhULB2rVrsbW1LbXGsKiVmKrbGZX23y8oKGDixIlUqVKFGjVqlFiBLOrpK5Xw8HB+/PFHunfvjq+vr/Km5OrVq6xbt46IiAjatm2Lq6urZDGBZiVFAOPGjXvj75HJZAQGBqogmkKGhobFBndoCg8PD3x8fJg8ebKyu0BaWhrHjx8nICCAq1evSlZHfvjwYaytrVm0aBEKhYLMzEwKCgqoUaNGqZPnVOVVv2sUCgUKhYI5c+YU25gp9e8C4e2JhFYQKggTExPu3LmjfF2/fv1ij9b19fXJyspSeRyffvqpctX19OnTDB8+XK1jIp8+fVriazVr1lT+OT8/v8xetFLZvn07H3/8MevXry/2dQsLC9atW4ebmxs7duyQPKHVpKQI4O7du2RkZJCRkQEUvo/6+vqkpqYil8tL1I3Dq8e+vgua2sapV69eTJs2DX9/fw4ePAjA9OnTlcc9PT0l6407c+ZMhgwZwpQpU5DJZGrZAAal/y54UVELxNedJ2gmkdAKQgVhY2PDtm3bsLa2plOnTlhaWioHL9SpU4eYmJhSR6uqkiZ82L/paNKXFRQUcO/ePYyNjVXWY/T69etMmTKl1GMymQwHBwdWrFihkmu/SllJUVFZhJRJEcDixYsZNWoUbm5ueHt7KxOjvLw8Nm7cSEBAAEFBQZKNl33ZgwcPSElJQU9Pj9q1a6u95dOYMWNwdHQkNjaWpKQkCgoKqFu3Lra2tjRu3FiyOJ4/f67yiYDl8b/+LhA0m0zxqnmLgiC8N1JTUxk0aBD3798nPj4eKGxa/uTJE4yMjMjKysLb27tc/WrfpeTkZPbt21fmWFCZTKaWUaXllZ6eTteuXQkJCVHZSrO1tTXjxo1jwoQJpR4PCAhgw4YNnDt3TiXXf507d+6oPSkCGDFiBDVq1CjRk7fIjBkzuHHjBjt27JA0ruvXr/Pdd99x9uxZ5ddkMhnW1tbMnj1buQlKSmfOnKFp06ZlrobevXuX3377TZIJdEU3RP7+/nz00Ucqv97bKCgoIDMzEyMjI40ajiGUn1ihFYQKonbt2uzbt489e/YoP8S2bNnCokWLyMrKYujQoWX2glWVkydP4unpyfPnz8s8R9MTWqDEY+x3zcrKivDwcNzc3EoMmnj06BHh4eGSjuJ9kUKh4MyZM5w/f57k5GS0tbXJycmhcePGkie0ly5d4uuvvy7zuIWFheT1jrdv32b48OE8evSIzz77jObNmyOXy7l27RonTpzAzc2NPXv2KB9nS2XkyJH4+fnRt2/fUo+fPHmSefPmSZLQ/vPPP6SnpzNw4ECNqVsvkpqaypIlSzhy5AhPnz4lJCQELS0t/P39mTlzJhYWFpLHJLwdkdAKQgVStWpVRo0apXzdqlUrNm3apLZ41qxZg6GhIbNmzdK4saCaZMKECYwaNYr+/fszatQo5Saja9eusXnzZu7du8e8efMkj+vx48eMGzeOCxcuoFAoqFq1KgqFgkuXLnHgwAF69uzJypUrS23rpQrVq1fnzz//ZNiwYaUe/+2330ptEadKq1evJi8vj+3bt2NlZVXs2B9//MGoUaNYt26dyt+/5OTkYps+FQoFu3btKrZqXKSgoIBffvlFst38ly5donr16lSvXh3QjLp1+O9TrYyMDMzNzfn999+BwhraP//8k1GjRrFt2zZJNz4Kb08ktIJQwdy4cYO4uDju3LmDu7s7lStX5vr163Tp0kXyWBISEvDy8qJfv36SX/t90r59exYvXszcuXNZuHChciOTQqHA0NCQefPmqWVj3erVqzl//jxjx45lzJgxyprQ+/fvExAQQFhYGD/88ANffPGFJPHY29uzefNmGjRowKhRozAwMAAKV7EDAgI4dOgQEydOlCSWIvHx8QwbNqxEMgtgaWnJ0KFDOXDggMrjKOpqUtQeTCaT8csvv/DLL7+Uer62trZkY4s1tXZ11apV5OTksHv3boyNjencuTMA3bp1Izw8HA8PD9avX8/KlSvVHKlQHiKhFYQKZNWqVQQEBFBQUIBMJsPe3p6cnBx8fX1xdHTEz88PHR3p/tkbGBhQtWpVya73Puvfvz89evQgPj6e5ORkCgoKqF+/PjY2NiWa9UuxUQ3g4MGD9OvXj6lTpxb7eq1atZg1axZpaWns2rVLsoT2P//5D2fPnmXFihWsWrUKY2NjFAoF6enpKBQKevXqxfjx4yWJpUhWVhYNGzYs83iDBg2UXRlULSgoiOzsbOXPoqwpfdra2nzwwQeSjpx+UW5uLjo6Omp/YnP8+HGGDx9OixYtyMzMLHasdevWDB8+nF27dqkpOuFNiYRWECqIqKgo1q1bR58+fXB0dFRu/rKwsMDOzo6YmBisrKwYPXq0ZDF169aNw4cPM3z4cMmu+T6rUqWKsm/wq2RkZNCzZ0+VblQDyMzM5OOPPy7zuI2NDcePH1fZ9V9maGjIzp072bVrF3FxcaSkpACFNci9e/eWtONCEVNTUy5cuMDQoUNLPX7+/HnJuotUqVJFWYO9cOFC2rVrR926dSW59uukp6ezdu1aYmNjlQl+nTp16N27N56eniVqx6WQnZ1NgwYNyjxeu3btEomuoLlEQisIFURoaCjt2rVj2bJlxX4Jm5iYsGrVKsaMGcPu3bslTWi9vb3x8PBg0qRJ9O3bF2Nj41Ibqatrw9P7TIoGNWZmZpw9e7bMmtUrV65IvoNfW1ubwYMHM3jwYEmvWxYHBwc2bNhA69atcXd3V/79LigoYPPmzezbt4/PP/9c8rhcXFwkv2ZZUlJSGDp0KPfv36dZs2Z8/PHHyOVy/vnnH4KCgoiLi+PHH3+kWrVqksZlampKYmJimcfPnj2rEe3GhPIRCa0gVBDXrl0rs5cpFE4KW7x4sYQRgZ2dHVD4gXbo0KEyz0tISJAqJOENfPPNN4wePZrly5czfvx45SpaXl4eO3fuZM+ePSWGQUghPj6e2NhY7t69y6RJkzA0NOT06dM4OztL/hjby8uLkydPsmjRItavX0+jRo0AuHnzJtnZ2TRv3lyykowXyeVyAgICiIyM5P79+6WOKJZqJO/y5cvJzs5m7dq1JUogDh06xJQpU1i5ciWzZ89WeSwvcnBwICQkhO7du2Nubg78dxDH1q1b2b9/P2PGjJE0JuHtiYRWECoIXV3dUvu8FsnMzJS0fhYKV2hVPalJeHcsLS1LvF/5+fls2LCBoKAgatWqhZaWFg8ePCA/Px8DAwNmz579ypuVd0mhUDB9+nSioqKUwx08PDxISkpi9uzZREVFERgYiKGhoSTxQGGd+NatWwkODiY2NpbExEQUCgX16tVj2LBhjB07VrJuAi9as2YN69evx8jIiJYtW6Krqyt5DEVOnTqFu7t7qfW89vb2nDt3joMHD0qe0Hp6ehIfH8/48eOpWbMmMpmM+fPnk5mZSXp6Os2bN8fT01PSmIS3JxJaQaggrKysiIyMLLWkICcnRy29TH19fSW9nqr8W5Ly0nbql6ZevXoqjqR0W7ZsITIyknHjxmFvb8/AgQOBwlre0aNHs2nTJoKDgyX/e2doaIivr69G/X2PjIykTZs2bNy4UdkNQl3y8vIwMTEp83jDhg3JycmRMKJCBgYGhIWFERISQkxMDDk5OSQlJVG3bl0GDBjAuHHj1FLbK7wdkdAKQgXh5eWlHAtqZ2eHTCbj8uXL/PPPP2zcuFFtvUw1jVwuf+O+qf+WgYqaMKr4VcLDw+nZsydTpkwpViduZGTE9OnTSU1N5eDBg2pJLOVyOQ8fPiz10T5AzZo1JY3n/v37eHp6qj2ZBejSpQuRkZEMHTq01JXiuLg4OnTooIbIQF9fHy8vL8mHzgjvnkhoBaGCsLa2xs/Pj++//55FixYBsHTpUhQKBQYGBnz//ffKPouqYmVlxcKFC5W7zUt7hP0yqer4inz66af069cPZ2fncjVMNzY2fuXGEUE6SUlJZW5QA+jUqRNHjx6VMKLC4RPz589n//79PHv2rNRzim4upVSvXj0ePHgg6TXL4uvri5eXF+7u7kyYMIFmzZqhp6dHUlISISEhXLhwgaVLl/LHH38U+z6pnihlZ2cTHx9PSkoKjo6OGBoakpWVRZMmTSS5vvBuiIRWECqQ3r1789lnn3Hq1Clu3rxJQUEB9erVw8bGRpJ+sJaWlsrm+1D+R9hSatGiBZs3byY0NJQWLVrg4uJCv379JF9BE96cgYEBjx49KvP43bt3qVSpkoQRgb+/P7t376ZRo0Z89NFHau+tWmTIkCEEBwczePBgtf/d7t+/P1C4OfTlDXJFTz9KW1WXYrNoREQECxYsIDc3F5lMhrm5OU+ePMHHxwcPDw/Jhk8I/zuR0ApCBTFs2DBcXV0ZNGgQvXr1UksMLz+yftNH2Pn5+Vy8eJFWrVqVGCbwrmzcuJG0tDSio6OJiopi0aJFLF26FBsbG1xcXOjevbvGJCVCce3btyc8PBx3d/cSx1JTU9mxYwfW1taSxhQTE0O3bt0ICAjQqFrrosEFdnZ2dOzYkZo1a5ZomSeTyZgzZ47KY9HUzaE///wzs2bN4pNPPsHe3p758+cDhTW9FhYWhISE0KxZM41qgSaUTab4txSHCUIFZ2FhwcyZM8ts8P4+SE9Pp2vXriofGPCixMREoqKiiI2NJSUlhapVq9K7d29cXV2xsLCQJIY3pY6fkyb4+++/GTJkCLVr16Z79+6EhoYyevRotLS0CA8P58mTJ2zfvl3ZgkkKlpaWzJo1i0GDBkl2zfIoTzmNTCbTyJZ5ubm5hISE4OzsrNINiCNGjCA3N5fw8HAePnxIp06d2LhxI506dSI/Px83NzcKCgqIiIhQWQzCuyNWaAWhgmjSpIlGfji9KanvsVu1akWrVq0YOnQo69atY+/evWzfvp0dO3bQokULfHx8sLW1lTSm8vg3rkW0bNmSoKAgZs6cyaZNm4DCFXcobJK/bNkySZNZKPx3d/v2bUmvWR4//fSTukN4a7m5uaxdu5ZPPvlEpQntX3/9hY+PT6mbRHV1dXFycsLf319l1xfeLZHQCkIFMWHCBGbNmkVqaiodO3YscyqXOsaDaqp79+6xb98+oqOjuXLlCgDt2rXD1dUVmUzG9u3bmThxIpMnT2bcuHEqj6e8m1P+zRvVrK2tOXToEAkJCdy8eROFQkHdunUxNzd/4+4V78KYMWP4v//7P/r27Uvz5s0lv35ZNGXk7duS6obtVeVFT548KbNrhaB5REIrCBXE5MmTATh27BjHjh0rUbNW1Ij+357QPnz4kJiYGKKjozl37hwFBQXUrVuXL774AhcXl2IrQv369cPV1ZXg4GCVJ7Ric8qbMTMzw8zMDIBnz56pbcU6ISGBqlWr4uTkRIsWLcqsVQ0MDFRpHAcOHKBt27bKUa0HDhwo1/f9m38ftG7dmtjY2FJrsvPz84mKiipX6YagGURCKwgVxMKFC195/Pnz5xJFotk6d+6MXC6nUqVK9O/fHxcXlzJ7YGpra9OkSROVtz8Sm1PK7+effyYhIYEJEyYAha3pNm3ahEwmY8SIEXz99deSxhMSEqL8szpXzSdPnoyfnx/9+vVTvn7VRixxgwseHh74+PgwefJkHBwcAEhLS+P48eMEBARw9epVli1bpuYohfISm8IEoYIwMzNjyZIlyg+0l0VERLBw4ULOnTsncWTll56ejo2NjXJjhiqMGDECV1dXHBwcyjUi9ebNm1StWpUaNWqoJJ6imMTmlNeLi4vDx8eHhg0bcujQIc6cOYO7uzsNGzbkww8/5OzZs3z77be4ubmpO1TJ7dmzh3bt2imfMOzZs6dc36eJN0lS/B4oEhwcjL+/P3K5XJnkF/2/p6cn//nPf1R6feHdESu0gvCeSktL4+zZs8rXCoWC33//vdQ6QoVCwcGDB0U9GLB169Y3Or9Ro0aqCeQFYnNK+YSGhtK8eXPlhrDo6Gi0tLTYtGkTderUwdfXl127dkme0D579oxff/2V3NzcYv/G5HI5jx494tSpU6xZs0alMbycmL5popqTk8P8+fMZO3YsTZs2fZehabQxY8bg6OhIbGwsSUlJyhIkOzs7Sf7tC++OSGgF4T1VrVo1/Pz8uHfvHlBYpxcWFkZYWFiJc4sexBQ1OP83KW8t4cukfhQrNqe8XkJCAhMnTlQOCjhx4gStWrVS1o3a2Ngop+RJJTExkbFjxxYrSyla4Suio6P5H7VPnz5l795dCt3GAAAgAElEQVS99O/f/1+V0D548IDr168zevRoAI4cOUJwcDAnT55k1KhR9OzZU70BCuWm+f/KBEEolb6+PmvXruXvv/9GoVAwY8YMBg8eTNu2bUucq6WlhbGxMR07dlRDpOr1ulrCl6mjtlBsTikfuVyOgYEBANevX+fu3bs4Ojoqjz979kzyoRgrV64kKyuLzz//HB0dHQIDA5kzZw7Z2dns2rWL+/fvEx0dLWlMb+vfVoH4999/M2LECGrXrk3Xrl1JSkpi4sSJQOGTEV9fXzZs2ECXLl3UHKlQHiKhFYT3WOvWrWndujUAZ86cYcCAARo5bladXrdZThOIzSnlU79+fU6fPs2gQYOIjo5GJpPRrVs3oDDZPXjwIA0bNpQ0pgsXLuDq6sq0adPIzc1lw4YNNGnShA4dOjB06FD69+9PaGgo3377raRxCa+3bt06tLS0+PLLLwHYvXs3crmcLVu2YGZmhru7O0FBQSKhfU+IhFYQKoj3IXErzZMnT5SrblpaWpiamlKpUqV39t/XxE0vL+vVqxfTpk3D39+fgwcPAjB9+nTlcU9Pz3/1bvQirq6uLFq0iMTERG7cuEGDBg1o3749V69e5euvvyYhIYEFCxZIGlNOTo5yopyhoSF16tQhISGBDh06UL16dVxdXTl06JCkMQnlc+bMGUaOHKksKzh27BimpqbK8cnOzs6sXr1anSEKb0AktIIgqMzevXtxdnYu8/ivv/7KrFmzOHz4MAA1atTgyJEj7zSGBw8eYGRkpHwUXd4WXEV1mlIpa3OKra0tjRs3ljQWTTV69GiePXtGVFQUHTt2ZMaMGchkMuRyOSkpKUydOlXyGxgjIyPy8vKUr+vVq8fVq1eLvS6qcxfKp1KlSri4uPDhhx+q9DqPHj3CxMQEKOys8PfffzNw4EDlcX19fdHu8D0iElpBEFRm5syZ6OnplVhdzM3Nxc/Pjx9//FHlG2ZsbGyKtTPr0qXLa2tqZTIZly9fVmlcLyoqNbCzs1NuThFKN378eMaPH1/say1atCA+Pl4tm68sLS3Zv38/Q4cORUdHh2bNmhEfH6+sxb5+/bryCcS/2YMHD7h8+TJdu3YF4OjRowQFBaGtrV1i81WVKlUkeeJkYmLCzZs3gcLNYDKZDBsbG+Xxs2fPKjccCppPJLSCIKjMxx9/zFdffYWuri62trYA/PLLL3z77bekpKTQtm1b5s2bp9IYnJ2dadCgQbHXb7JJTApxcXF8/PHH6g7jvaWlpVXqmGcpuLu7M27cOHr37k14eDj9+vUjLCyMcePG0bhxY3bs2KGs8/23Km3zla+vL6DezVddu3Zly5Yt5ObmcuDAAapUqUK3bt1IS0sjMDCQ/fv34+XlJWlMwtsTCa0gCCqzYcMGPD09mTx5MgsWLODMmTOEh4djaGjIrFmzJOkX+vJKj9RtncrDxMSEtLQ0dYeh8eRyOQEBAURGRnL//v1SW5nJZDIuXrwoWUw2NjYsW7aMwMBAjIyMaNOmDb6+vqxZs4aTJ0/SoEEDvvrqK8ni0USauvlq2rRp3Lp1i7CwMKpUqcKCBQswMDAgMTGRrVu38tlnnzF27FhJYxLenpgUJgiCSj179gwvLy9OnToFQLdu3fjuu++UtWsCHD9+nGnTptG/f386duxIzZo1Sx2yYGlpqYboNMfKlStZv349RkZGNG3aFF1d3VLP27Jli8SRlXTv3j2ysrJeGacmUeV0rs6dO+Pm5oa3tzcATk5O5OTk8NNPPwGwefNmVq9ezZkzZ97pdcsrIyODKlWqKOvsc3NzuXHjBubm5mqJR3g7YoVWEASV0tPTY/369UycOJETJ04wdOhQtSazcrmcrVu3cvz4cdLS0spc5du/f79kMU2YMAEonGJW2mCMIgkJCVKFpJEiIyNp06YNGzdu1Pi6VBMTE3HT9v9p+uarl8daGxoaimT2PSQSWkEQ3plx48aVeSw/Px+5XM5//vMf2rdvr/y6TCYjMDBQivAAWLFiBRs2bEBHR6fMlVCpeXt7a1xdrya6f/8+np6eGp/Mvo8MDQ3x8fGhfv367/y/LTZfCVIQCa0gCO/MiRMnXntOXl5esfOkTuSio6Np374969evp3LlypJeuyxFG2SEV6tXr165264JkJWVxalTp0hLSyM/P7/EcZlMpqwRLUpoVUFsvhKkIBJaQRDemcTERHWH8FrZ2dn069dPY5LZ8kpMTPzXj78dMmQIwcHBDB48WPI+we+bv/76i88//5yHDx+WOdL2xYRWlcTmK0EKIqEVBEFlhg0bhqurK4MGDVJ3KEoWFhbFGt9rAoVCQWhoKAcOHCA3N7dYXa9cLufRo0dkZmb+62todXR00NPTw87OTrl57uV2XTKZjDlz5qgpQs2xdOlScnNz8fLyok2bNu90+t6bMjAwICgoqMTmq5YtWxIRESHqVYV3QiS0giCozKVLl3ByclJ3GMVMmzaNMWPG0Lx5cxwcHDAyMlJ3SAQEBLBy5Up0dXUxMjIiIyODOnXqkJWVxZMnT6hUqRJjxoxRd5hq92LP4qId8i8TCW2h33//nZEjRzJx4kR1h6L08uarBw8e8MEHH6gpGqGiEQmtIAgq06RJE41bVWzcuDFmZmbMnj2b2bNno6urW6KOV+pepvv27aN58+Zs27aNjIwM7O3t2bp1KyYmJoSFhbFgwQLatGkjWTyaqqwkVihJW1ubRo0aqTsMpR07dnD16lVmzZoFwJdffklMTAwAtra2LF26VLlyKwhvQyS0giCozIQJE5g1axapqal07NgRY2PjUic6vTwaV5Xmzp3Lb7/9Rs2aNWnYsKFGdDm4ffs2//nPfzAyMsLIyIgqVapw4cIF+vbty8iRI/ntt98IDQ2lV69e6g5VrerWravuEN4bHTt25MSJExpR7hMREcF3332nrAE/duwYBw8epE2bNjRq1IjIyEhCQkLw9PRUc6TC+0wktIIgqMzkyZOBwg+wY8eOlVgJLZp3L2VCe/ToUezs7PD399eIZBYKV4SrVaumfN2gQQP+/vtv+vbtC0CXLl1Yt26dusLTKAqFgj179hATE8Pt27fR09OjTp062Nvb4+Tk9K9tf/Zy94fRo0czduxY5s2bh6urK8bGxqX+fZdic92PP/5I27ZtCQ0NBeDAgQPo6Oiwfv16PvjgA7S0tIiOjhYJrfA/EQmtIAgq8/LYWU3w/PlzunbtqjHJLBS2o7p+/brydf369bly5YrytUKhICcnRx2haRS5XI63tzfHjx9HoVBgbGxMQUEBiYmJHDt2jH379hEYGFjqU4CKrkuXLqXeMIaFhZU5rEMmk3H58mWVx3bt2jW++uorZUnByZMnsbCwUNbPtm3bVtJBJkLFJBJaQRBUxsXFRd0hlNCuXTvOnz+vEY9ii3Tv3p2tW7fSuHFjXF1dsba2ZunSpZw7d45mzZqxe/duTE1N1R2m2oWEhHDs2DGGDx/OxIkTqV69OgCZmZmsWbOGsLAwNm/ezOjRo9UbqBo4Oztr7Oq0lpaWMrbLly+TkZHB0KFDlcdzcnLeuzZ6guaRKcpqUCcIgvCO3Lp1i9jYWOUjYlNTU3r27KmSqUSvc+PGDUaMGIGzszO9e/emVq1a6OiUvLeXss/pw4cPcXd358qVK/z666/o6OjQt29f7t27BxSutH377beMGDFCspg0UZ8+fahfvz4BAQGlHp8wYQL37t0jMjJS4siEVxk4cCA1atQgMDCQ7777jh9//JEff/wRS0tLcnNzGTp0KNWqVWPLli3qDlV4j4mEVhAElQoMDGTVqlUlZrVra2vj6+sred1cx44defr0KXl5eWWeI9Wj2Bc9f/6c/fv3079/f2QyGampqXz99dcoFAr69+/PgAEDJI1HE1laWvL111/j5uZW6vGwsDD8/Pwk7VChqUaOHImXlxedOnUq9fiRI0fw8/Pj4MGDKo8lKiqKr776isqVK/P48WPMzc2JiIjg0qVLfPHFF9y/f5+1a9fSo0cPlcciVFyi5EAQBJWJi4tj+fLltG7dGi8vL5o1a0ZBQQFXr14lMDCQlStX0qJFC0k/yD777DONfDT7ww8/EBQUhJWVFY0aNaJ27dp8+OGHxMTE0LNnT3WHpxEMDAzIzMws8/iDBw/Q19eXMCLN8ezZMx49egQUruifPn0aR0dHWrRoUeLcgoICTp06RUpKiiSx9e/fH21tbaKioqhdu7Zy1LO+vj7VqlXjm2++Ecms8D8TK7SCIKjMsGHDePz4MRERESV6TD579oyBAwdSvXp1Nm/erKYINcPOnTuZPXs27du3Z8mSJZiYmACFm2eCg4P59ddfWbFiBfb29mqOVL18fHw4d+4ce/bsUf6Mity5c4cBAwbQtm3bf2VHiNTUVBwcHHj69Cnw3w4ir9KmTRu2b98uRXiCoHIioRUEQWXatm2Lj49PmVOugoODCQgI4MyZMxJH9moZGRklphqpkpOTE3Xq1CmzNnTMmDE8evSInTt3ShaTJkpMTGTw4MHo6uoyYMAAmjZtChTuot+9ezf5+fls376djz76SM2RqseePXs4ffo0CoWCvXv3Ym1tXWqdupaWFsbGxgwbNqzEjYEq3bhxg7i4OO7cuYO7uzuVK1fm+vXrdOnSRbIYhIpLlBwIgqA2MpmsRG2tFOLi4ti/fz+5ubkUFBQovy6Xy3n06BEJCQlcunRJsnhu3bpVZl0oQK9evfDz85MsHk3VqlUrAgMDmTlzZolVfVNTU+bOnfuvTWahsKtIUWeR06dP4+HhoTHlKqtWrSIgIICCggJkMhn29vbk5OTg6+uLo6Mjfn5+pW7OFITyEn97BEFQGTMzM6Kjoxk5ciS6urrFjj179ozIyEhatmwpaUw7duzg+++/p+jhlEwm48UHVXp6etja2koaU+XKlV9Zz/jgwYMSP79/q44dOxIXF8dff/1FcnIyCoWCevXqYW5u/q/sP1uWI0eOqDsEpaioKNatW0efPn1wdHTEx8cHAAsLC+zs7IiJicHKyupf2W5NeHdEQisIgsp4eHjg6+vLiBEjGDdunPIR8fXr1wkMDOTKlSssX75c0ph27NhBnTp12LBhA8+fP8fZ2Zmff/4ZKCyB2LJlyytXS1WhQ4cObN++HScnJ5o0aVLs2J07dwgLC6NDhw6SxqSp7t+/z/bt2xk9ejTm5uZA4fsWFxfHmDFjik1c+zc5cODAW32fFFP6QkNDadeuHcuWLSu2qc/ExIRVq1YxZswYdu/eLRJa4X8iElpBEFTG1taWSZMmsXr1auXO5iIymQxvb28cHR0ljSkpKYkJEybQtGlTFAoFlSpV4sKFC9jb2/PNN99w+fJlAgMDsba2liymL774giNHjtC/f3969epFw4YN0dfX5+bNmxw5cgS5XF7i5/dvlJycjJubG/fv36d79+5YWFgA8M8//xAREUFMTAzbtm3D2NhYzZFKb/LkycU2gb1uU5iUY6evXbvGlClTyjxua2vL4sWLVR6HULGJhFYQBJX54Ycf6NWrF7179yYuLo7k5GQKCgqoX78+vXr1olGjRpLHJJfLqVWrFlCYVNevX5/ExERlBwFbW1uCg4Mljalp06aEhYWxYMECDh06VKwEwsrKim+//ZbmzZtLGpMmWrFiBXl5eWzatEmZzALMmzcPZ2dnvL29WbVqFf/3f/+nxijVQxPHTBfR1dVFLpeXeTwzM1PUzwr/M/E3SBAElfH392fFihXUr1+fnj170qdPHz755BO19oE1MTHhzp07ytf169fn2rVrytf6+vpkZWVJHlfr1q3ZunUrmZmZpKSkIJfLqVu37r9ytbEsZ86cYdSoUaWWX1hbWzN8+PB/7ZQwTRwzXcTKyorIyMhSSwpycnIIDw/H0tJS+sCECkVU0AuCoDKHDx9mxowZ1K9fn7CwMNzd3encuTMzZswgLi5O2TNTSjY2Nmzbto1ffvkFKJw+derUKW7fvo1cLicmJobatWtLHleRDz74AHNzc6ysrEQy+5KHDx++ska2Vq1apKenSxjR++vp06fExcVJci0vLy+uXr2Km5sbkZGRykl827Ztw8XFhXv37pXZ2k8Qykv0oRUEQRJPnjwhPj6eY8eOceLECdLS0tDX16dz586SNsJPTU1l0KBB3L9/n/j4eADs7e158uQJRkZGZGVl4e3trdyJLWgOZ2dnatasWWZJiJeXF8nJyezbt0/iyDTP06dPWbZsGQcOHCi1PV1RCUBCQoIk8Rw4cIDvv/+e7Oxs4L/dRQwMDJgxYwaDBg2SJA6h4tL+7rvvvlN3EIIgVHy6uro0adKEBg0aUKtWLW7dusWDBw+4efOmSpPHIUOGUKNGDWX3gISEBLy8vPjwww/p1KkTBgYGfPrpp9y4cQMdHR0GDRrEF198IVpAaaBnz56xbds2kpOTady4MVWqVEFbW5vk5GT+X3t3HxRVvbgB/DnsAgIXUCBHeVVJZYociGB2kbq8hW+gBek2GmVq3rr5Mk12bbREur14L5GlTAmV5AthjIpi2gubUsryot1obveyM2ZGCKLAABOjCOye3x/+2tGLdm+25xzO4fnM9MfhnJ3v80+zj2e/LwUFBaioqMCyZcsQHR2tdFTF5efnY8eOHfDx8cHYsWPR3t6OqKgouLi4oKurC6NGjcILL7zg2ClCapMnT8aiRYsQGRmJO++8EwaDAfPnz0dOTg7uvvtuWTKQtvENLRFJqqmpCXV1daitrUV9fT06OzshiiLCwsJgMBhgNBoxc+ZMyca/66678OKLL2LBggUAru6Nm5eXh/T0dMnGJGmIoog1a9bg8OHDEATB8Z/dbocoipg5cyY2b96s6Bzt4eL+++9HQEAAdu/ejYsXLyIpKQmHDx9GeHg4zGYzVq9ejZdeeglZWVlKRyVyCi4KIyLJJCYm4sKFCwCuLsaKj4+H0WiE0WiU7cjN2267DcXFxRAEAV5eXhBFEQ0NDf/1Dawc2xnRbyMIAvLz8zF//nyYzWacO3cOg4ODCAoKQmpqKu69916lIw4bbW1tyM7Ohk6nw/jx4+Hr64tvv/0W4eHhSE1NRXp6OsrKymQrtJcuXYLZbEZHR8cNdzwQBAHLli2TJQtpEwstEUmmra0NwNVjSdPT02EwGBATEwN3d3fZMixfvhy5ubnYsGEDgKtfnCUlJSgpKbnh83Luz0m3xmAwwGAw/Nfnenp6sHLlSjz//PO44447ZEg2fOj1enh4eDiuQ0NDcfr0acd1TEyM40ARqf3zn//EkiVL0Nvbi5v9KMxCS78XCy0RSaa6uhoWiwUWiwUHDx5EUVER3NzcEBUV5ZhuMG3aNOh0OskyPPzww4iNjYXVasWVK1ewbt06mEwmREVFSTYmDQ8DAwOor693LEQaSSZOnHjdgq/Q0FBYrVbH9aVLl2TbZeSNN97AlStXsHr1akRGRsLNzU2WcWlkYaElIsn4+/sjIyMDGRkZAK6eGGSxWFBTU4MdO3Zg69at8PT0xNdffy1pjvDwcMexuwUFBbjvvvuQkpIi6ZhESkpLS0NBQQF8fHzw5z//GUajETk5OaioqMDkyZNRWloq28EmDQ0NePzxx/Hkk0/KMh6NTFzGS0SyCQoKQmhoKIKDg+Hn5wdRFGXfi/bo0aMss6R5S5YsQXx8PAoLCzEwMIC5c+diypQpWLt2LTIzM9HU1IQnnnhClix6vR6BgYGyjEUjF9/QEpGkvvvuO1RXV+PEiRNoaGjA4OAgvLy8kJCQgCeffBKJiYlKRyTSHDc3NxQVFcFqtcLLywsAsGvXLuzcuRPd3d1ISkqC0WiUJUtcXByqq6thMplkGY9GJm7bRUSSMRgM6OnpgSiKCAwMRHJyMpKSkhAXFwdXV1el45HGdXR0ICEhAcXFxbKVNxqqqakJixYtwrx585CRkQF/f/8b7jLi7++vQDrSCr6hJSLJBAcH47HHHkNycjKmTp2qdByiEcVut2Pv3r34/PPP0draildeeQUeHh745JNPsGTJkl89RtiZTCYT+vr6sH37dmzfvv2Gz/xyHC7RrWKhJSLJ7N27V+kIRCNSf38/li9fjtraWuj1ethsNvT19eH8+fMoLCxEZWUldu/eDT8/P8mzJCYm8rALkhwLLRERkcYUFRWhrq4Oubm5SExMxB//+EcAwIwZM7B+/Xps2rQJ27Ztw7p16yTPsmnTJsnHIOIuB0RERBpz6NAhzJs3DyaT6bp9X3U6HbKzs5GVlYVjx44pmJDIufiGloiISGNaW1vx+OOP3/R+ZGQkDhw4IMnYt7IdmCAIKCoqkiANjRQstEREpGr9/f1wcXGBXn/9V5q3tzdee+01TJ48WaFkyvH19UVHR8dN7589exY+Pj6SjH38+PHf/BnOsaXfi4WWiIhU46uvvkJjYyP+9Kc/AQBef/11fPDBBxAEAY888gjWrl3reNbd3R0PPvigUlEVNX36dJSWlmL+/PlDjpptbGzEnj17kJqaKsnY1x6xSyQX7kNLRESqYDabsWLFCoSFheGzzz7DyZMnkZ2djbCwMIwdOxanTp3CCy+8gEWLFikdVXEtLS3IzMyEIAiIi4tDZWUl5syZg8HBQZjNZowaNQr79u1DWFiY0lGJnIKFloiIVCE7Oxvd3d344IMP4O/vjw0bNmDv3r344osvMH78eKxcuRItLS3Yv3+/0lGHhR9//BG5ubmora3FtV/10dHRyMnJQUREhCTjHjly5JY+N3v2bCcnoZGEhZaIiFThnnvuwapVq/Doo48CAJKSkjBmzBhHgf3oo4+wadMmfPPNN0rGHHZ6enrQ1NQEURQRFBSEgIAASceLiIj4TXNiRVGEIAhobGyUMBVpHefQEhGRKthsNnh4eAAAzpw5g/Pnz2PWrFmO+/39/UPmi9LVBWLTpk2TbbzXXntNtrGIfsFCS0REqhASEoL6+nrMnz8fhw4dgiAIjgMDbDYbPvnkE84JvUZNTQ0+/fRTtLe3Y2BgYMh9qbbKGqkL8UhZLLRERKQKmZmZ2LRpE6xWK3744QeEhoYiLi4Op0+fxtq1a9HY2IhXX31V6ZjDwuHDh7FmzRr82qxCubfK+uGHH2A2m9Ha2ors7Gx4eXnhzJkzmD59uqw5SJtYaImISBUWL16M/v5+VFRUwGAwYN26dRAEATabDS0tLVizZg3fDv6/d999FwEBAcjLy0N0dDTc3d0VzbNlyxZs27YNdrsdgiBgxowZ6O3txcqVKzFr1izk5eUN2UeY6LfgojAiIlI1u90Ou93OQnSNadOmYfXq1Vi6dKnSUVBRUYG//OUvmDNnDmbNmoUVK1aguLgYEydOxKuvvorKykqsXbsWixcvVjoqqRj/7yciIlW5fPkyamtr0dzcDJ1OhwkTJiA2NlbpWMOKr68vRo0apXQMAMCOHTsQGxuL/Px8dHV1Of4+btw4bNmyBUuXLsX+/ftZaOl3YaElIiLV2LNnD/Lz89Hb2+uYHyoIAsaMGYONGzciLS1N4YTDw8yZM7F//36YTCbF31x///33ePbZZ296//7778ff/vY3GRORFrHQEhGRKhw5cgQbN25EcHAwnnrqKYSFhUEURZw5cwYlJSV45pln8N5778FoNCodVXb/eZjBlClTsHfvXphMJmRkZCAgIAAuLi5DPifHYQaurq6w2Ww3vd/V1aV46Sb14xxaIiJShczMTAwMDKCsrMyxH+0vfv75Zzz00EPw9/fHhx9+qFBC5dzoMINrv95vdE+uwwyWLl2Kzs5OlJeXo7u7G0ajEcXFxTAajejt7cXcuXMxceJEvP/++5JnIe3iP4mIiEgVfvnp+j/LLAB4e3tjwYIF2Lp1qwLJlDecDzN46qmn8Nhjj2HRokVIS0uDIAj497//jbNnz6K4uBhtbW14+eWXlY5JKsdCS0REquDv74+ff/75pvcFQYC3t7eMiYaP37tdWW9vL1555RUsW7YM4eHhTkp11T333IO8vDxs3LgR//jHPwAAr7/+OkRRhIeHB3JzcxEfH+/UMWnkYaElIiJVWLhwId59913MnDkTt99++3X3Lly4gF27dmHBggUKpVO3vr4+HDhwAHPnznV6oS0sLERKSgqqqqpgsVjw448/wm63Izg4GAkJCfDx8XHqeDQysdASEdGwtHHjxuuuRVHE4OAgHnjgASQnJ2PSpElwcXHBuXPncPToUbi5uUGn0ykTVgOkWlKzefNmvPnmmwgJCUFKSgpSUlIQExMj+0llpG1cFEZERMNSRETEb/6MXAudtKajowMJCQmOxVrO1NzcjKqqKlRVVeHkyZMYGBjA6NGjkZiYiJSUFCQkJAybPXNJvVhoiYhoWGppabmlzwUFBTk5ifZJWWivdfnyZVRXV6OqqgrHjx/HxYsX4e7ujvj4eLz99tuSjUvaxykHREQ0LN2omIqiiPLycnz66ac4d+4c3NzcEBgYiLS0NMybN48/Yw9zHh4eSE1NxYQJEzBlyhSUlJSgqakJx44dUzoaqRwLLRERqYLNZsPTTz+NL7/8EqIoIiAgAHa7HVarFceOHcPHH3+MoqKiGx4gQMpqampCXV0damtrUV9fj87OToiiiLCwMJhMphF5GAY5FwstERGpwvbt21FVVYWFCxdi1apVGD16NICrJ00VFBSgpKQEO3fuxOLFi5UNStdJTEzEhQsXAADjxo1DfHw8jEYjjEYjxo0bp3A60goWWiIiUoUDBw4gMTERGzZsuO7vY8aMwYsvvohz586hvLychXaYaWtrAwAEBgYiPT0dBoMBMTExcHd3VzgZaQkLLRERqUJzczMWLlx40/v33Xcf8vLyZExE/4vq6mpYLBZYLBYcPHgQRUVFcHNzQ1RUFAwGA4xGI6ZNm8Yt1+h3YaElIiJV8PDwQFdX103vd3Z28q3fMOTv74+MjAxkZGQAuHqEscViQU1NDXbs2IGtW7fC09MTX3/9tcJJSc04cwxujWoAAAeKSURBVJ6IiFQhNjYWJSUljp+wr9Xa2orS0lLExMQokEz9PD09sWLFCoSEhEg+VlBQEEJDQxEcHAw/Pz+Iooi+vj7JxyVt4z60RESkClarFQsWLICrqyuysrIcR7R+//332L9/PwYGBlBaWoo777xT4aTyO3LkyC19bvbs2U5OcmPfffcdqqurceLECTQ0NGBwcBBeXl5ISEhAUlISEhMT4evrK0sW0iYWWiIiUo3a2lqsX79+yKELgYGB+Otf/4rp06crlExZERERv2kPXlEUZTtVzWAwoKenB6IoIjAwEMnJyUhKSkJcXBxcXV0lH59GBhZaIiJSFVEU8a9//QvNzc0QRRHBwcGIjIwc0fvPlpeX39LnHnzwQScnGeqhhx5CSkoKkpOTMXXqVMnHo5GJhZaIiIiIVG3k/nOWiIhohOrr64PZbFY6BpHTcNsuIiIijenr60N+fj6OHDmCS5cuwW63O+7ZbDbYbDYAkGUOLZEc+IaWiIhIY9566y3s2rULer0eISEh6O/vx1133YVx48ZhcHAQ7u7uyMnJUTomkdOw0BIREWmM2WxGdHQ0jh49isLCQoiiiNzcXHz22WcoKCjAwMAAdxggTWGhJSIi0pi2tjbMmjULOp0O48ePh6+vL7799lsAQGpqKtLT01FWVqZwSiLnYaElIiLSGL1eDw8PD8d1aGgoTp8+7biOiYnBTz/9pEQ0Ikmw0BIREWnMxIkTr1vwFRoaCqvV6ri+dOkSj5slTWGhJSIi0pi0tDSUlZXhzTffRH9/P4xGI+rr61FRUYHGxkaUlpZiwoQJSsckchoerEBERKQx/f39WLFiBY4fP45Tp07B1dUVJpPJ8ZZWFEW88cYbmD17tsJJiZyDhZaIiEijrFYrIiIiAAC9vb3YuXMnuru7kZSUBKPRqHA6IudhoSUiItKYkydPIjw8HH5+fje8f/78edTV1eGBBx6QORmRNDiHloiISGMeffRRWCyWm94/ceIED1YgTeHRt0RERCrX3NyM999/33EtiiL27duHU6dODXnWbrejpqYGXl5eckYkkhQLLRERkcqFhITAarWioaEBACAIAmpqalBTU3PD53U6HZ577jk5IxJJinNoiYiINKC3txc9PT0QRRGpqalYt24dUlJShjyn0+kwZswYuLu7K5CSSBostERERBpTXl6O2NhYBAcHKx2FSBYstERERESkapxDS0REpDE2mw3btm3DwYMH0d7eDrvdPuQZQRAcc26J1I6FloiISGMKCgrwzjvvwNvbG1OnToWrq6vSkYgkxSkHREREGpOcnIyxY8eiuLgYHh4eSschkhwPViAiItKY9vZ2ZGZmsszSiMFCS0REpDHBwcHo7OxUOgaRbFhoiYiINMZkMuHDDz9kqaURg4vCiIiINEav18PNzQ1paWkwGAzw9/eHi8v177AEQUBOTo5CCYmci4vCiIiINCYiIuK/PiMIAhobG2VIQyQ9FloiIiKNaWlp+Z+eCwoKkjgJkTxYaImIiIhI1bgojIiISIPsdjvKysqwbNkyzJ49G9988w2sVis2b96Mnp4epeMRORUXhREREWlMf38/li9fjtraWuj1ethsNvT19eH8+fMoLCxEZWUldu/eDT8/P6WjEjkF39ASERFpTFFREerq6pCbm4svvvgCv8wunDFjBtavX4+mpiZs27ZN4ZREzsNCS0REpDGHDh3CvHnzYDKZ4Obm5vi7TqdDdnY2srKycOzYMQUTEjkXCy0REZHGtLa2Iioq6qb3IyMjceHCBRkTEUmLhZaIiEhjfH190dHRcdP7Z8+ehY+Pj4yJiKTFQktERKQx06dPR2lp6Q3fwjY2NmLPnj0wGo0KJCOSBvehJSIi0piWlhZkZmZCEATExcWhsrISc+bMweDgIMxmM0aNGoV9+/YhLCxM6ahETsFCS0REpEFnz57FSy+9hNraWlz7VR8dHY2cnJz/6XhcIrVgoSUiItKwnp4eNDU1QRRFBAUFISAgQOlIRE7HgxWIiIg0yGw248svv8TFixdht9uH3BcEAUVFRQokI3I+FloiIiKNKS4uxt///nf82o+wgiDImIhIWpxyQEREpDGpqanw9vZGfn4+wsLCoNPplI5EJClu20VERKQx7e3tePjhhzFp0iSWWRoRWGiJiIg0ZsqUKWhra1M6BpFsWGiJiIg0ZtWqVSgpKYHFYlE6CpEsOIeWiIhIYwYGBvD000/j+PHj+MMf/oCAgIAhi8AEQcDhw4cVSkjkXNzlgIiISGPy8vLw1VdfQa/Xw9PTE1euXFE6EpGk+IaWiIhIY+Lj4zF58mRs2bIFvr6+Sschkhzn0BIREWnM5cuXMWfOHJZZGjFYaImIiDQmMjISp0+fVjoGkWxYaImIiDRmzZo1KC8vR0lJCbq6upSOQyQ5zqElIiLSmKysLLS2tqK7uxsAoNPphhywIAgCGhoalIhH5HTc5YCIiEhjPD09cfvttysdg0g2fENLRERERKrGObREREREpGostERERESkaiy0RERERKRqLLREREREpGostERERESkaiy0RERERKRqLLREREREpGr/ByGsIBbgJrAvAAAAAElFTkSuQmCC","text/plain":["<Figure size 640x480 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["#correlation matrix\n","corrmat = train_df.corr()\n","f, ax = plt.subplots(figsize=(12, 9))\n","sns.heatmap(corrmat, vmax=.8, square=True);\n","plt.show()\n","\n","#treatment correlation matrix\n","k = 10 #number of variables for heatmap\n","cols = corrmat.nlargest(k, 'treatment')['treatment'].index\n","cm = np.corrcoef(train_df[cols].values.T)\n","sns.set(font_scale=1.25)\n","hm = sns.heatmap(cm, cbar=True, annot=True, square=True, fmt='.2f', annot_kws={'size': 10}, yticklabels=cols.values, xticklabels=cols.values)\n","plt.show()\n","\n"]},{"cell_type":"markdown","metadata":{"_cell_guid":"f71d0c3d-8554-4478-b1d5-7aa461fcb7bb","_uuid":"22adfaf19848e1103804bf8737cb5656fcac5388"},"source":["<a id='Some_charts_to_see_data_relationship'></a>\n","## **5. Some charts to see data relationship** "]},{"cell_type":"markdown","metadata":{"_cell_guid":"2af9fb8b-79ac-4444-95b0-210c704afef9","_uuid":"39488f9878f2ab937c4ce888eb82eba133fb175c"},"source":["Distribiution and density by Age"]},{"cell_type":"code","execution_count":101,"metadata":{"_cell_guid":"89387b66-3a36-4b3f-98a4-254253452056","_uuid":"e7288897925d3f340ba4c2e73d2ef61c6ca28c4f","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"name":"stderr","output_type":"stream","text":["C:\\Users\\puran\\AppData\\Local\\Temp\\ipykernel_20412\\1394260443.py:3: UserWarning: \n","\n","`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n","\n","Please adapt your code to use either `displot` (a figure-level function with\n","similar flexibility) or `histplot` (an axes-level function for histograms).\n","\n","For a guide to updating your code to use the new functions, please see\n","https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n","\n","  sns.distplot(train_df[\"Age\"], bins=24)\n"]},{"data":{"text/plain":["Text(0.5, 0, 'Age')"]},"execution_count":101,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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","text/plain":["<Figure size 1200x800 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Distribiution and density by Age\n","plt.figure(figsize=(12,8))\n","sns.distplot(train_df[\"Age\"], bins=24)\n","plt.title(\"Distribuition and density by Age\")\n","plt.xlabel(\"Age\")\n","\n"]},{"cell_type":"markdown","metadata":{"_cell_guid":"a8880fbd-1545-48dd-a850-1ccc6214bcdc","_uuid":"9c24e2674ba7fe8cfecc0b911e6773512b7099c5"},"source":["Separate by treatment"]},{"cell_type":"code","execution_count":102,"metadata":{"_cell_guid":"b464a345-00b2-47a2-9d3e-c7074cfaf790","_uuid":"2cc9d4abe3ca092a5bf9b7a9cd9f0b4d443c0471","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"name":"stderr","output_type":"stream","text":["y:\\Anaconda\\envs\\StrokePredictionModel\\lib\\site-packages\\seaborn\\axisgrid.py:848: UserWarning: \n","\n","`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n","\n","Please adapt your code to use either `displot` (a figure-level function with\n","similar flexibility) or `histplot` (an axes-level function for histograms).\n","\n","For a guide to updating your code to use the new functions, please see\n","https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n","\n","  func(*plot_args, **plot_kwargs)\n","y:\\Anaconda\\envs\\StrokePredictionModel\\lib\\site-packages\\seaborn\\axisgrid.py:848: UserWarning: \n","\n","`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n","\n","Please adapt your code to use either `displot` (a figure-level function with\n","similar flexibility) or `histplot` (an axes-level function for histograms).\n","\n","For a guide to updating your code to use the new functions, please see\n","https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n","\n","  func(*plot_args, **plot_kwargs)\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 600x300 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Separate by treatment or not\n","\n","g = sns.FacetGrid(train_df, col='treatment')\n","g = g.map(sns.distplot, \"Age\")"]},{"cell_type":"markdown","metadata":{"_cell_guid":"20b446a7-fe87-478d-9328-de7ea7afea5b","_uuid":"1bfd6affb0501138a98d4dbc9c70ad491b35962c"},"source":["How many people has been treated?"]},{"cell_type":"code","execution_count":103,"metadata":{"_cell_guid":"81f1eb2a-c3ac-433d-a674-24aa6a33d287","_uuid":"ac35d322a601a3ff9fdde64fa5e33b28dbdd10e5","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"data":{"text/plain":["Text(0.5, 1.0, 'Total Distribuition by treated or not')"]},"execution_count":103,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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","text/plain":["<Figure size 1200x800 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Let see how many people has been treated\n","plt.figure(figsize=(12,8))\n","labels = labelDict['label_Gender']\n","g = sns.countplot(x=\"treatment\", data=train_df)\n","g.set_xticklabels(labels)\n","\n","plt.title('Total Distribuition by treated or not')"]},{"cell_type":"markdown","metadata":{"_cell_guid":"d7a9a45c-0df3-48a4-9ab2-e5aaae9abe7f","_uuid":"a781bf88a14f5bb937ede09d81365f16bdcbbe3f"},"source":["Draw a nested barplot to show probabilities for class and sex"]},{"cell_type":"code","execution_count":104,"metadata":{"_cell_guid":"210c02cf-9296-4373-8725-bd13b819a9e4","_uuid":"2b931335e19a15bf897fa8a6eabcd26cb263503a","collapsed":true,"jupyter":{"outputs_hidden":true},"scrolled":true,"trusted":true},"outputs":[{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAkQAAAHUCAYAAADbbjeEAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOzdd1hT598G8DsDZMlQHIAiag0OwD3RuqhV0ap114XVuqq1dVRbW7Vqrdtai3VUqyBSsdbtr9aFW2ute9aBTFH2FkjO+wdvUmIYIQQS4P5cF9eVnJVvzkng5jnPeY5IEAQBRERERBWY2NAFEBERERkaAxERERFVeAxEREREVOExEBEREVGFx0BEREREFR4DEREREVV4DERERERU4TEQERERUYXHQEREREQVHgMRlbjff/8drq6uGj+NGjVC8+bN0atXLyxduhQxMTEl8vrh4eFwdXXF8OHDS2T73bp1g6urK7Kzswtd9sqVK3B1dcWsWbNU0+bOnQtXV1dcvHixwG1mZmZi8+bNkMvl+n0DRRQcHIy+ffvC3d0dbdu2xYULFwxaT3Hdv38fx48f13l95ed77dq1hS5blM9KScrvO5GSkoJt27apTcvr81kejRo1Cq6urnj+/LlqmqurK95++2215SryPirvpIYugCqOhg0bwsvLS/VcEASkp6fj+vXr2LFjB/7880/s2bMH1apVM2CVJcvJyQlTp06Fq6trgcuNHj0aycnJEIv/+59l5MiRuHnzJj788MOSLjNfCQkJmD59OrKzszFgwABYW1vjrbfeMlg9xXXmzBlMmjQJEyZMwDvvvGPocgzu3XffhUQiMehnzJhMnToVVlZWatPy2kdeXl5wcnJC7dq1S7tE0iMGIio1jRo1wrRp0/Kc9/nnn+PAgQNYv349Fi1aVMqVlZ5atWrluw9y8/Hx0ZhWUi1oRfHs2TNkZGSgS5cuWLJkiaHLKbbY2FgoFApDl2E0YmJiUKNGDUOXYTTy+q7mtY+8vLzU/tmjsomnzMgoTJo0CQBw+vRpA1dCBcnMzAQA2NnZGbgSIiL9YiAio+Do6AgAiI+PV00bNWoUmjdvjuvXr6NXr15wd3eHt7c30tPTAeScvlm+fDm8vLzg5uaGtm3bYvLkybhx40a+r3P58mUMGTIEHh4e6NixI+bNm4fo6GiN5V6+fIlly5ahd+/eaNasGdzd3fHOO+9gyZIlajXmFh4ejqlTp6J58+Zo2bIlJkyYgFu3bqktk1cforzk7muiXCciIgIA0KRJE4waNQpHjx6Fq6srvvjiizy38dlnn8HV1RX//vtvga8FAAcOHMCwYcPQvHlzNG3aFAMGDIC/v79af6Vu3bph9OjRAIB9+/bB1dUVc+fOzXebyn4q3377LS5duoQRI0agWbNmaNeuHebNm4eUlBQkJCRg/vz5aN++PVq2bIlRo0bh9u3bGtt681h36NABM2bMwJMnT9SWU+6r7du34/jx4xg8eDCaNm2KNm3a4NNPP0VoaKhq2VGjRqn23caNG+Hq6oorV66o5v/5558YN24c2rdvjyZNmqB169YYPXo0Tp48Wej+LMyLFy8wd+5ctG/fHh4eHujbty92796d57JnzpyBj48PWrVqBQ8PD/Tr1w/+/v55tmzdvXsXs2bNQpcuXeDm5obmzZujf//+2LZtW4F9z5T9oAAgOjo6z2ObkZGB77//Ht27d4ebmxu6du2KFStWqL6P2rh06RImTpyIdu3aqWoLDAzUqE3b73buz9jVq1dVvzNatGiBCRMm4O7duxo1xMTEYOHChXj77bfh4eGBoUOH4tKlS3nWm7sPUUH7KL8+RP/++y9mzpwJT09PuLm5oUuXLpg/fz6ioqLUllNu+8SJEwgKClL10evQoQO++uoro2gdrgh4yoyMQkhICACgZs2aatOzsrIwadIktGjRAp07d0ZGRgbMzc0RFRWFDz74AJGRkWjatCm6d++OFy9e4OTJkzhz5gyWLl2K/v37q23r6dOnGD9+PJo3b46RI0fi1q1b+O2333D+/Hns2bMH1atXB5Dzy27gwIGIj49H165d0a1bNyQnJyM4OBj+/v74559/8Pvvv2u8h5EjR8LS0hLDhg1DZGQkjh8/josXL2LLli1o3769zvtG2e9ox44dSE5OxpQpU1C7dm14eXnB1tYWx44dw4IFC2BmZqZaJzk5GSdPnoS7uzsaNGiQ77YFQcC8efOwd+9eVKtWDb169YKJiQnOnTuHJUuW4Ny5c9iwYQOkUilGjx6NBw8eYN++far+YI0aNSq0/itXrmDXrl14++23MXz4cAQHB+O3335DbGwsIiIioFAo8N577yE8PBwnTpzARx99hD///BPW1tYAcsLpBx98gLCwMLRt2xY9evTAq1ev8Mcff+D06dP4+eef0bJlS7XXPHz4MO7cuYOuXbuiTZs2uHbtGv73v//hxo0bOH78OExMTDBgwABUrlwZJ0+eRKtWrdCuXTs4OTkBAH744Qf4+vrC2dkZvXv3hpmZGR4/fowzZ87gypUr+Omnn9CtWzddDicAYOjQobCyskK/fv2QnJyMw4cPY/78+cjMzMSoUaNUy23ZsgWrVq1ClSpV8O6778La2hrnz5/HkiVLcPXqVaxbtw4ikQgAcP78eUyaNAnm5ubw8vKCvb09Xrx4gRMnTmD58uV49eoV5syZk2c9jRo1wtSpU/Hjjz/C0tISY8eO1Ti2X3/9NbKzs/Huu+/C1NQUx48fx9atWxEWFob169cX+p537tyJJUuWwNzcHN26dUO1atUQHByMhQsX4sGDB/jmm28AQKfv9t9//41du3ahdevWGD58OB49eoQzZ87g6tWrOHnyJKpUqQIg5xTp0KFDER4ejjZt2qBXr164desWxo8fr/q85UebfZTb+fPnMXnyZGRnZ6Nz585wcXHB/fv3sXv3bvz555/Yvn07GjZsqLbOxo0b8eDBA/To0QNvv/02zp49iz179uDRo0cICgoqdB9TMQlEJWzv3r2CTCYT5syZk+f8rKwsYeLEiYJMJhNWrlypmj5y5EhBJpMJM2bM0Fhn3LhxgkwmE3x9fdWm37lzR2jWrJng5uYmREZGCoIgCGFhYYJMJhNkMpmwbNkyteXXrl0ryGQyYe7cuappixYtEmQymbBv3z61ZdPT04Vu3boJMplMePTokWp6165dBZlMJgwfPlzIyMhQTT937pzQqFEjoXv37oJcLhcEQRAuX74syGQyYebMmarl5syZI8hkMuHChQsa28zKyipwmrLWQ4cOqdUaGBgoyGQyISAgQGPf5XbkyBFBJpMJgwYNEmJjY1XTU1NThQ8//FCQyWTC5s2bVdOV9ed3LHPLvd/9/PxU0+Pi4oSmTZsKMplMGDlypJCZmamaN3PmTI33M2XKFEEmkwm7d+9W2/69e/cEd3d3oWvXrqp9oqxPJpMJJ0+eVC2rUCiEMWPGCDKZTDh69KhquvKzuWbNGtW0V69eCY0bNxa8vb2FtLQ0tdfctWuXIJPJhGnTphW4jfwoj+HkyZPV3vf58+cFmUwm9OnTRzXt7t27QsOGDYU+ffoIcXFxqulyuVyYMWOGxj7p06eP4ObmJjx9+lTtNR8/fiy4uroKbdu2VU1THpthw4apLSuTyYROnTqpTVN+Prt16ya8evVKNT02NlZo2bKl4OrqqvbZyUtYWJjg5uYmdOzYUQgJCVFNz8jIEAYMGCDIZDLh4cOHgiDo/t3O/RkTBEGYO3euIJPJhC1btqimzZs3T5DJZML69evVll29erVqO7nry2t/FLSPlN/hlJQUoV27dkKTJk3UvteCIAi7d+8WZDKZ4O3tLSgUCkEQ/vsMNWnSRLh9+7Zq2devXws9e/YUZDKZcPPmzfx2L+kJT5lRqbl//z7Wr1+v+vnhhx/wzTffwNvbG6dPn0aDBg1UfYly69Wrl9rz6OhonDt3DvXq1cOUKVPU5jVp0gTjxo1DZmamRiuOnZ2dRifJqVOnwt7eHkePHlX1j/H29sY333yD9957T21ZMzMzNGvWDAAQFxenUefcuXNRqVIl1fOOHTvCy8sLYWFh+OeffwrbPToZOHAgAGD//v1q0/fv349KlSqhT58+Ba7/22+/AQC++uor1X/RAGBhYYGFCxdCLBbneypHW5aWlvjggw9Uz+3s7FCvXj0AOZ3HTUxMVPNatGgBAKrTgzExMaqWriFDhqhtt1GjRujXrx8iIiI0Lv2XyWRqLTgikQhdunQBALXTZnmRSqVYsWIFFi9eDHNzc7V57dq1A4B8T5tqa8qUKWrv29PTExYWFmqXfO/ZswcKhQKzZs1S67MlFovx+eefq5YBclr6pk+fjtWrV6Nu3bpqr1W/fn3Y29sXu+YRI0bA3t5e9bxKlSpo0aIFBEFAWFhYgesqv1/jx49HnTp1VNMrVaqEL774AtOmTYNEItH5u21tba32GQOgOv7K452VlYWjR4+iatWqmDx5stqyn3zyidp7K65Tp04hLi4OAwcORIcOHdTmDRkyBG3atMG///6La9euqc3r2LEj3NzcVM9NTU3h6emp9j6o5PCUGZWaBw8e4MGDB6rnYrEYlpaWqFOnDqZNmwYfHx+NS1yBnCuzcrt37x4AoHXr1nm+TqtWrQDkBLDcmjRpAgsLC7VpUqkU7u7uOH36NJ4+fYqGDRuiRYsWaNGiBVJSUvDw4UOEhoYiNDQU9+/fV/UxebP/hqmpKdzd3TVqadasGY4dO4Z79+6p6tKnxo0bo1GjRrh48SJevXqFatWq4dmzZ7h+/Tq8vb0LPQ1w9+5dmJmZ5Vl77dq1UbNmTYSFhSElJSXPY6ON2rVrQyKRqE2ztLQEADg7O6tNV572U4bTu3fvQhAEZGZm5nla5sWLFwByPhOdO3dWTX8zFABA5cqVAeT8YSyIra0tvL29AeScyn3y5AnCw8Px5MkT1R+w4o4F5eLiojHNzs4OERERkMvlkEgkqr5U586d0+iLBuTsq/v370MQBIhEItVVTq9evcKjR48QFhaGkJAQ3L59G7Gxsaq63zwWxalZGaLT0tIKXFf5XWzevLnGvNatW6u+y8qLKor63c7rM/bm8X7+/DlSU1PRsmVLjWWlUimaNWuGEydOFPg+tKX8HdWmTZs857du3Rp//fWXxu+FvD63yu9wYZ9bKj4GIio1AwYMwLJly4q83pv/pScnJwP47xfem5SXxL7Z2TO//wCVf5yVv9RTUlKwcuVK7N+/HxkZGQByfvE3bdoUzs7OePDgAQRB0Ni2si9HQdsuCQMHDsSSJUtw+PBhjB07VtVa9P777xe6bkpKCmxsbNTGO8qtRo0aiIyMRFpams6B6M0QmpupqWmB6yYmJgIAHj58iIcPHxa6XEHbVR6fN49dXoKDg7FmzRrVa0qlUrz11ltwd3fH48ePtdpGQXL393qTcttJSUkAAH9//wK3lZqaCisrKzx58gTLly/H2bNnVduoXbs2WrZsiX///ReJiYnFqlubmvOTkJAAAIV+hnT9budumVV683gr92d+27a1tS2wtqJQvo/83m9+76O4n1sqHgYiKnOUv2TyujoM+O8X35u/4JTT36Tcjo2NDYCcMZFOnjyJ3r17Y+jQoWjQoAGqVq0KIOfKrdytXEXddkno27cvVqxYoQpEhw8fRs2aNTWa6vNiZWWF+Ph4ZGZm5vnLWBk09PnHoiiUgXL48OFYuHBhqbzm7du3MWXKFFhbW2PJkiVo1qwZ6tSpA1NTUzx58gT79u0rlTqU7/3ixYuqz19+0tLS4OPjg9jYWEyePBldu3ZF/fr1VdtQnnYxFGUdKSkpGvOys7OhUChgamqq83dbG8p18vuu6vOfFuX7ePnyZZ7zDf29oryxDxGVOY0bNwYA3LhxI89bIChPa8lkMrXpd+/e1TjVpTwtVrlyZdStWxdJSUk4deoUnJycsHbtWrRr107tj9Hjx48BaP63lpKSgmfPnmnU8vfffwNAnqek9MXW1hbdu3fHnTt3EBwcjPDwcPTv3z/fVp/cGjduDIVCodGXAcj5oxQSEgIXF5dCW3JKivIqnrxOGQHAkSNH8P333+cZUrWRV6veoUOHIJfLMXv2bAwePBgNGjRQvf/8jn9JUL73mzdvasxLSUnBt99+i507dwLICU0vX75E3759MX36dHh4eKhCSFxcnKrPm6FaGZRXU+X1XoKDg+Hh4YFNmzbp/N3WhrOzM2xtbXH79m3VKVklQRDy/YzpQvk+rl69muf84rwPKjkMRFTm1KxZEx07dkRYWBg2bNigNu/BgwfYunUrTE1N0bt3b7V50dHRCAgIUD0XBAGrVq1CUlISBg0aBLFYDFNTU4jFYqSnp2v8N7t582Y8evQIAPL8Zb1u3Tq1viVHjx7FlStX0KRJE7WOkrpSdsLN67WVnauVo3xrc7os93orVqxQ63Sbnp6OBQsWQKFQaL2tkuDo6AhPT0/cvXsXO3bsUJv39OlTfPPNN9i8ebPOp/Ok0pxG8tz7VHlqSNnvRikqKgpr1qzRWL6kDBo0CACwcuVKvHr1Sm3e6tWr4efnp+pLo6z5zfFqXr9+ja+//lr1j0BhdZuYmJTIe+vbty8kEgm2bdum6jAP5PQV27JlCwCgU6dOOn+3tSGVSjFgwAAkJCRg9erVauFw27ZtCA8P12o72uyj7t27w9bWFocPH9bo8L9//36cP38e9erVU12kQcaBp8yoTFq0aBFGjBgBX19fXLhwAc2aNUN0dDROnjwJhUKBxYsXa9xXyNnZGUuXLsWFCxdQt25d/P3337h16xaaNGmCTz75BEDOH5ZevXrh8OHDeP/999G1a1cAUHWAtLe3R0xMjMYVO9bW1rhy5QoGDRqEDh064NmzZzh16hRsbW2xfPlyvbxnBwcHhISE4PPPP0fLli0xZswY1TxPT084ODggIiICLVu2VLuSpyB9+vTBuXPnsH//fvTt2xedO3eGiYkJzp8/j7CwMHTq1Anjxo3TS/26Wrx4MUaMGIGlS5fi2LFjaNq0KRISEvDHH38gLS0N8+bN0+h4ry0HBwcAOQNTAkC/fv3g7e2NX375Bd9//z3u3r0LZ2dnREZG4tSpUzAxMYGJiYmqT0xJatGiBaZMmYINGzbA29sb3bp1g52dHa5evYrbt2+jXr16mDFjBgCgZcuWcHFxwfnz5zFixAg0b94cSUlJOHPmDF69egU7OzvEx8cjISFBo0/em/sjNDQUX375Jdq0aaMx3o+u6tSpg88//xzfffcd+vfvj+7du8Pa2hrBwcF4/vw5Jk2apGpV0eW7ra1p06bh0qVL2L59O65fv44WLVrgwYMHuHz5MpydnbW6kkubfWRpaYkVK1Zg6tSpGD9+PLp06aIah+jSpUuws7PDmjVr8myhJMNhCxGVSU5OTvj9998xZswYxMTEICAgAFevXkW3bt0QGBiYZ6tGy5Yt8eOPPyIqKgr+/v54+fIlxo0bB39/f7WOv4sXL8bEiRMhCAICAwPxv//9D1ZWVli5ciXWrVsHIKeZP7fKlStj586dqFKlCgICAvD333+jd+/e+O233wocGLEoZs2aBVdXV5w6dUp1qkRJLBarhicoaovOsmXLsHTpUjg5OeHIkSM4ePAg7OzssHDhQmzevFnVimIoymPt4+ODly9fwt/fH2fPnkWLFi2wbds21ejZumjVqhXGjBmD169fY+fOnbh58yZcXV3xyy+/oFWrVrh8+TJ27tyJ+/fv47333sPBgwfRqlUrhIWFaYySXRKmT5+ODRs2oHHjxjhx4gR27dqF1NRUTJo0CYGBgarTuebm5ti2bRv69OmDsLAw+Pn54eLFi3B3d8euXbtU+6iwW+PMnz8fderUwcGDB/XeV8rHxwebN29G48aNcfz4cezatQvm5uZYsmQJPvvsM9Vyuny3tWVpaYmAgACMGzdOte24uDisX79eY3DP/Gi7jzp37ow9e/agZ8+euHHjBvz9/REaGopRo0bhwIEDWg1qSqVLJLDrOlG54OPjg5s3b+L8+fOq/iNERKQdthARlQOXL1/G5cuX0a9fP4YhIiIdsIWIqAz74osvcOfOHTx58gRmZmY4cuSIql8MERFpjy1ERGVY9erVERYWhnr16uGnn35iGCIi0hFbiIiIiKjCYwsRERERVXgMRERERFThMRARERFRhceRqrUkCAIUCna3IiIiKivEYpHWI4IzEGlJoRAQF5dq6DKIiIhIS1WqWEIi0S4Q8ZQZERERVXgMRERERFThMRARERFRhcdARERERBUeAxERERFVeAxEREREVOHxsvsSJJdnQ6FQGLqMMkkikUAslhi6DCIiqiAYiEpAenoqUlOTkJ2daehSyjARzM0tYW1dRetBtYiIiHTFQKRn6empSEyMgampOWxtq0EikQDgH/SiEfD6dQZSUhJgYlIJFhZWhi6IiIjKOaMPRDdu3MDw4cMRGBiIZs2aFbp8aGgoVq9ejb/++gsZGRlo3rw5ZsyYATc3t1KoFkhNTYKpqTns7KqxZaMYTEwqITs7CykpCTA3t+S+JCKiEmXUnapDQ0Mxbdo0rfvhREdHY8SIEbhy5QpGjhyJ6dOn4/nz5xg5ciQePHhQwtXm9BnKzs6EhYUV/4DrgZmZBRQKOfthERFRiTPaQHT69GkMHjwYL1++1HodX19fxMbGYvv27fj444/h4+ODwMBAmJiYYPny5SVYbQ7lH+6c02RUXMpO1QqF3MCVEBFReWeUgWjmzJmYNGkSqlSpAm9vb63WkcvlOHToENq2bYuGDRuqplevXh3e3t64dOkSoqOjS6rkN7B1SB/YykZERKXFKAPR48ePMW3aNOzfvx9169bVap1///0XaWlp8PDw0Jjn7u4OQRBw+/ZtfZdaIjIzMxEVFYmoqEhkZlbcK9WysjKRmJiITZt+RGRkhKHLoRIWGRmBpUsXYunShTzeFQCPNxkbo+xUvWfPHpiamhZpHWXrj4ODg8a86tWrAwAiIor3pZNKC86PCoV+WjRiY2OQlpb2/89i4ODgqJftljUJCQnIzMzEw4f34e+/DfPmLTB0SVSC/Py24tatGwDA410BlLXjLRKJIBYbttVaoRAgCIJBayjPjDIQFTUMAUBycjIAwNzcXGOeclp6errONYnFItjZWRa4TEaGBDExYkgkokLDU0GysrLUHhdnW2VZdvZ/+yEyMrzQ/U9lW1TUf/+w8HiXf2XteCsUglEEIkPXUJ4ZZSDShbJDc0H9TsRi3YOFQiEgKSmtwGUyM19DoVBALheQna3dlVFJSYk4fvwYgoNPIiIiHPHxcahUyQwODo5o3rwl3n23l9bbKknffrsQ//vfYaxd64vWrduW+usrFALi41NL/XWp9CgUgtpjHu/yrSwdb4lEDGtrc/gGXkDEy0SD1OBU3QYfD/dEUlI65HLD/00oK6ytzSGRaPe3v9wEIkvLnP8uMjIyNOYpW4asrIo3wF9hwUQuL1pT5tWrl7F48QLExcWidm1ntG3bAba2toiMDMetWzcRFLQLx4//gXXrNqBevbeKU3qZJwjah0wqm3KfCuDxLv/K4vGOeJmIkIh4g9YglyvKxL4qi8pNIKpVqxYA5HklmfLS/bz6FxnK3bt3MGvWdJiZmWHx4mXo2tVLNS80NASvX2fixIk/sGuXP778cjZ27PgVlSpVMmDFRERE5Ve56ZxSt25dWFpa5nklmXJa06ZNS7usPGVnZ2Px4vmQy+VYsmSFWhhSEovF6NGjN7p06Y7w8DCcOHHMAJUSERFVDOWmhcjU1BQ9evTAoUOH8OjRI8hkMgA5rUNHjhxBp06dUKVKFQNXmePq1SsIDw9F27YdCu2P07Nnb5iamsLR0Uk1TS6XY9++PTh69BCePw+BVCpFw4aNMXz4KLRr10Ft/Y4dW6FTp84YP34yNm3yxa1b15GdnY2GDRvDx2c8WrVqo7Z8WloaduzYilOnTiA2Nga1aztj9Oix+db38mU0tm//GZcvX0RcXCzs7KqgXTtPfPjhR6hWrbpquaNHD2Hp0m/w5ZcLcPnyRZw/fxYWFhaYPftLdO7ctSi7j4iISO/KbCC6fv06QkND4enpCXt7ewDAJ598gtOnT2PMmDEYO3YsKlWqBH9/f8jlcsyePdvAFf8nOPgkAGgVBGrXdsbXXy9SPZfL5fjyy1m4cOEcXFzqoW/fAZDL5Th79hRmzfoEn3wyE0OGDFfbRlhYKCZN+hAuLnXRp09/vHgRhTNnTmHmzGn45ZcAVf+k169fY9q0iXj48D5cXRvh7bc749mzZ1iw4EtUrWqvUdvTp0/wySeTkJiYgPbtO8LFpS4iIsJw5MgBXLhwFj/+uBnOznXU1tm48UdYWFhg0KAhePLkCdzc3Iu8/4iIiPStzAai3bt3Y9++ffDz81MFIkdHR+zatQsrV67Exo0bIZFI4OHhgR9++AGurq4Grvg/4eFhAID69RsUed29e4Nw4cI59Ozpjblzv4ZUmnMIP/poMqZMGQdf3+/Rtm171KnjolonJOQZhg0bialTP1VN++WXLdi6dRP27duLmTPnAAB+/XUnHj68jz59+uHzz+eprsrbv38vVq36TqOWJUvmIykpEStXrlNrmbp06QJmz56O7777Bj/9tE1tnYyMDPj57YatrW2R3zsREVFJMfpANG3aNEybNk1j+rJly7Bs2TKN6fXr18fGjRtLozSdxcXFAgCsra015j14cA9Hjx5SDSMgFothY2MLS0tLDBs2EgcP7oNEIsFnn81WhSHltkaPHodFi77CkSMHMWXKJ2rbHTXKR+25p2cnbN26CRERYappx44dhUQiwZQpn6gNUdC//0AcOrQfDx/eV027f/8uHj16iK5dvTRO07Vv74nWrdvi6tUrCAl5BheX/0Ybb9myFcMQEREZHaMPROWRjY0twsJCkZSUpDHvwYN7+P33PRrTq1Wrjn79BiIk5CksLS3x668BGsvEx+dcDvro0YM3Xs8GNjbqIcTKqjKA/waBfP06A6Ghz+HiUhfW1jYa227atNkbgeje/79mHLZu3aSxvHKog0ePHqgFotx9oYiIiIwFA5EBODo64c6dWwgLe44mTdzU5vRMqpoAACAASURBVPXvPwgtWrRCVlY2AMDERIoPPhgEAEhJyRmNOzU1Fb/8siXf7b8ZtExNNS/XVw5gqRwLRDnSt6Vl3mM1vRmSkpNzXuPGjX9w48Y/BdSiPohZpUpm+S5LRERkKAxEBtC5czf8+ef/cPr0CfTs6a31ehYWFgAAF5e62LlTsxWpOJSBRxm63vTmbU8sLHIGwpw8eRpGjBij11qIiIhKW7kZh6gs6dChIxwdnXDx4nlcunShwGWVfYmAnNYbR0cnhIeHITExQWPZhw8fwNd3HS5cOFfkmkxNTVG//lsIDw9T9XHK7e5d9fGdZLKcTur37t3Jc3u//74H27ZtRlRUZJFrISIiKm0MRAZgYmKCRYu+g1Qqxfz5X+Dw4QNqwUfp+fNnWLr0GwD/neLq06cfsrOzsXr1crWbwKanp2PVqqUIDPTPt5WnMH379odcLsf3369S2/apUyc0Tou5uzdFnTouOHs2GGfOnFabd+vWDfzww2oEBe3S6LtERERkjHjKzEAaNmyM9es34ZtvvsayZYvx888b0apVG9jbV8OLF1F49OgBQkOfAwCaNm2OGTNyLo3/4IPRuHbtb5w6dRyPHj1EmzZtIRaLcfZsMF6+jEbXrl7w8npXp5oGDBiMCxfO4dSp43j27Alat26LqKhInD9/FrVqOSM8PFS1rFgsxtdfL8ann07BvHmz0aZNe7z11luIjn6Bs2eDIQgCvvhigeo0HxERkTFjIDIgNzcP+Pn9iuDgkzh58k/cvHkdsbExkEqlqFrVHt2790CnTp3VAo5UKsXq1T9g797dOHbsKI4cOQgTExPUquWMMWPGwdv7PUgkEp3qkUgkWLlyHXbt8sPRo4exf/9eVK9eE7NmfYGYmFcaHbkbNmyEbdt2wt//F1y5cgn//HMVdnZV0L59R4wa5YNGjZoUa/8QERGVFgYiAzM3N0evXn3Qq1cf1bTQ0BC1q8zeJJVKMXToCAwdOqLQ7Z8//3ee0x0cHPOcJ5VKMXr0hxg9+kONeePGTdSY5ujohDlzviq0jt69+6J3776FLkdERGQI7ENEREREFR4DEREREVV4DERERERU4TEQERERUYXHQEREREQVHgMRERERVXgMRERERFThMRARERFRhcdARERERBUeAxERERFVeAxEREREVOHxXmYGIhaLIBaL8pxnbm4GExM5AEAqlUAqLb3cqlAIUCiEUns9IiIiY8BAZABisQi2thaQSPIOOnZ2DUq5ov/I5QokJKQVOxTFxcVi8+YNuHz5IlJSktGggQwffjgBrVu301OlRERE+sNAZABisQgSiRi+gRcQ8TLR0OWoOFW3wcfDPSEWi4oViNLS0vDpp1MQERGOIUM+QLVq1XHw4D7MnPkJVq36AW3aMBQREZFxYSAyoIiXiQiJiDd0GXq3d+9uPH36BMuXr4WnZycAQM+e3hg79gOsWbMCgYF7IRLlfbqQiIjIENipmvTu2LGjqFWrtioMAYCFhQXee28AwsNDcffuHQNWR0REpImBiPQqJSUFz5+HoHFjN415jRo1AQDcu8dARERExoWnzEivXr16CUEQUL16DY159vb2AIAXLyJLuywqRQVdQVmQ3KdRRSJRsa6u5NWSRFRUDESkV6mpKQAAMzMzjXlmZuYAgPT0jFKtiUqPWCyCrZ05JGKJTuvmfmxnZ6lzHXKFHAnx6QxFRKQ1BiLSK4VCAQB5dpoWhJw/Trq0HlDZIBaLIBFLsOmMHyITo4u0bkJaotrjBQdX6lSDo00NTOw8uthXSxJRxcJARHplYZHzX31GhmYr0OvXOdMsLa1KtSYqfZGJ0XgeG16kdbIVcrXHRV2fiKg42Kma9MrBwQEAEBPzSmNeTEwMAKBGDc3+RURERIbEQER6ZWlphdq1nXH//j2Neffv3wWAPK9AIyIiMiQGItI7L693ERLyFJcvX1RNS0tLw8GD++DiUhcNGzY2YHVERESa2IfIgJyq2xi6BDX6qmf48JE4duwovv56DoYOHYGqVe1x8ODvePEiCqtW/cBRqomIyOgwEBmAQiFALlfg4+Gehi5Fg1yuKPaVORYWlvD13YKfflqPvXuDkJ2djbfeaoC1a33RokUrPVVKRESkPwxEBqBQCEhISMv38vOoqEhkZ+dccSOVSuDg4FiqtenjUuVq1apj/vzFeqiIiIio5DEQGUhBwSM9PQNZWdkAABMTKbKzFaVZGhERUYXDTtVERERU4TEQERERUYXHQEREREQVHgMRERERVXgMRERERFThMRARERFRhcdARERERBUeAxERERFVeAxEREREVOExEBEREVGFx0BEREREFR7vZWYgYrEo35u7mpubwcTkv5u7SqWll1v1dXNXIiKisoSByADEYhHs7MwhFkvynG9n16CUK/qPQiFHfHy6XkPRnTu3MWXKOGzYsBVubu562y4REZG+MBAZQE7rkATPDm9BemyUoctRMa/qgLp9PoJYLNJbIIqICMdXX30OhUKhl+0RERGVBAYiA0qPjUJ6dKihyygxFy6cw9KlC5GYmGjoUoiIiArETtVUIhYunIc5cz6Dra0dunfvYehyiIiICsRARCUiJOQZxo2biG3bAuDsXMfQ5RARERWIp8yoRGzevB2mpqaGLoOIiEgrbCGiEsEwREREZYlRBqKYmBjMmzcPnTp1QrNmzTBs2DBcuHBBq3Vv376NcePGoUWLFvDw8MDQoUMRHBxcsgUTERFRmWZ0gSg1NRVjx47F4cOHMWDAAMyePRvp6ekYP348zp8/X+C69+7dw8iRI3Hnzh2MGzcOM2fOREpKCiZNmoSjR4+W0jsgIiKissbo+hDt3LkTjx49wsaNG9G1a1cAQP/+/dG/f38sXrwYf/zxB0SivEd43rhxIzIyMuDv7w8PDw8AwIABA9CzZ0+sWrUKvXv3LrX3QURERGWH0bUQHThwAHXq1FGFIQCwtLTEkCFDEBISgps3b+a7bkhICOzs7FRhCACsra3RsmVLREREICkpqURrJyIiorLJqAJRcnIynj59qhZolNzdc275UFAgqlevHhITExETE6M2PTQ0FBYWFrCystJvwURERFQuGNUps+joaAiCAAcHB4151atXBwBERETku/706dNx7do1TJ8+HXPnzkXlypXh7++PBw8eYMaMGRCLjSr/wbyq5vs0JGOrh4iIqLQYVSBKTk4GAJibm2vMs7CwAACkp6fnu76LiwsmTZqEpUuXYtCgQarpo0aNwsSJE4tdX2F3nVco8u7bpLmcAIVCjrp9Pip2TfqmUMiN8m73IpGo0P1PhieRGM8xMqZaSFPuvqDG/v02ps+SMdVS3hhVIFLeADSvTtOCIOQ7T2nBggXYvXs3mjdvjmHDhsHU1BR//PEH/P398fr1ayxevFjn2nLuUG9Z4DIZGRLExIghkRT+5U5Keg2xOO/3Eh4egezsbACAVCpFrVpOuhWtA4VC+P+bz2oX7rQxceJkTJw4uVjb0Gb/E+Vmba35jxUZj9y/Y/j91h4/1yXHqAKRpWXOFyIjI0NjnrJlqHLlynmu++zZMwQFBcHd3R07d+6EVJrz1nr37o2FCxciMDAQ3bt3R5cuXXSqTaEQkJSUVuAymZmvoVAoIJcLyM7W/e7u6enpyMrKCUQmJlK8fp2t87bKC4VCQHx8qqHLoEJIJGKj+YWdlJQOuVz37yGVrNwt0cb+/ebnuuyytjbXulXNqAJRrVq1AOT0JXrTy5cvASDP/kUA8PDhQwiCgP79+6vCkNKwYcMQGBiIS5cu6RyIABQacuRy4zvVVF4IQvFCJlU8crmCnxkjpmz1Vz7msdIOP9clx6hORlpZWcHFxQW3b9/WmKecltcVaMB/t4qQy+Ua85Sn4vKaR0RERGRUgQgA+vTpg8ePH+Ps2bOqaampqQgKCkL9+vVVl9+/qVWrVrCwsMCePXs0Ol4HBAQAADp27FhyhRMREVGZZVSnzABg7NixOHDgAKZPnw4fHx9Uq1YNQUFBiIyMxJYtW1Sdqq9fv47Q0FB4enrC3t4e1tbW+PLLL/H1119jwIABGDRoEMzMzHD69GmcP38evXr1KtbpMiIiIiq/jC4QWVlZISAgACtXrkRAQACysrLQsGFDbN26Fe3atVMtt3v3buzbtw9+fn6wt7cHAAwePBiOjo7YvHkzfH19kZ2dDRcXF3zxxRcYPXq0od4SEZFKZGQEtm/fAgDw8fkIjo6ldxUpEeXP6AIRANSoUQOrVq0qcJlly5Zh2bJlGtM9PT3h6elZUqURERXLjh1bcevWDQCAn99WzJ0738AVERFghH2IiIjKs4iIMNXj8PCwApYkotLEQEREREQVnlGeMiOqSNinhIjI8NhCRGRgyj4lt27dgJ/fVkOXQ0RUIbGFyEAKul+YubkZTExyBpGUSiWletPDnBvPcsTt0sQ+JUREhsdAZABisQi2duaQiCV5zreza1DKFf1HrpAjIT692KHoyZPH2LZtE27c+AepqamoUaMmvLzexZgx41SjihMRERkLBiIDEItFkIgl2HTGD5GJmvdtMxRHmxqY2Hk0xGJRsQJRREQ4Jk8eB6lUivffHwx7e3tcu/Y3duzYinv37mDNmh9VA2wSEREZAwYiA4pMjMbz2HBDl6F3P/ywGllZmfj55x1wdnYBAPTvPwjr16/F7t0BOHfuDN5+u4tBayQiIsqNnapJr+RyOa5f/wceHs1VYUipZ8/eAKAalI6IiMhYsIWI9EosFmP79l0QBM1TbgkJ8QAAiSTvvlNERESGwkBEeiUSifIdRycoKBAA0KJFq9IsiYiIqFA8ZUal4tdfd+LSpQvw8GiGtm3bG7ocIiIiNQxEVOL27PkVvr7rULWqPRYsWGLocoiIiDTodMpMEASEh4cjKSkJr1+/hoWFBSpXrgxHR0deTk0qgiDgp5/WY9cuP1StWhXff78BNWrUNHRZREREGooUiE6cOIHAwED8/fffyMzM1Jhvbm6O5s2bY8SIEejWrZveiqSyJysrC99+uxAnThyDk1MtrFnzI5ycahm6LCIiojxpFYjkcjlmzJiBP//8E4IgwNnZGbVr14a1tTVMTU2RmZmJpKQkhIWF4cKFC7h48SJ69+6N5cuXQyplv+2KRi6XY/78L3DuXDAaNWqMFSvWwc7OztBlERER5UurtPLLL7/g2LFj6NGjB+bMmQMnp/zvxh0eHo7ly5fj6NGjcHNzw9ixY/VWLJUN27ZtxrlzwXB3b4rVq9fDwsLC0CUREREVSKtAtHfvXjRu3Bjr1q0rtI9QrVq1sG7dOgwaNAh79+5lICqAo00NQ5egRh/1xMbGIDDQHyKRCB07vo1z54I1lqld2xmNG7sV+7WIiIj0RatAFBkZiTFjxmjdYVosFsPT0xP+/v7FKq68UigEyBVyTOw82tClaJAr5MW6j9mNG9dV/ct++ml9nsv06/c+AxERERkVrQKRvb09QkNDi7Thx48fw8rKSqeiyjuFQkBCfDrE4rwDZlRUJLKz5QAAqVQCBwfHUq2tOIGoe/d30L37O3qsiIiIqORpFYi6dOmCwMBA7N69G0OHDi10eT8/PwQHB2PQoEHFLrC8Kih4pKdnICsrGwBgYiJFdraiNEsjIiKqcLQKRB9//DEuXbqEhQsXYtOmTWjbti1q164NGxsbmJqaIisrC8nJyQgNDcVff/2F8PBwODo6Yvr06SVdPxERGZBYLMq3tbsgubtgiEQiSKW6jxNc3JZtIkDLQFSlShX8+uuvWL9+PX777Tfs27cPgPoHWnkzT0tLSwwZMgSffvopL7UmIirHxGIRbO3MIREX/YbNuUOUWCyCnZ2lznXIFXIkxKczFFGxaD1IkLW1NebNm4fPP/8c9+7dw5MnT5CUlIS0tDRUqlQJNjY2qF+/Ppo0aQJTU9OSrJmIiIyAWCyCRCzBpjN+iEyMLtK6CWmJao8XHFypUw2ONjUwsfNoiMUiBiIqliKPmmhiYoKmTZuiadOmJVEPERGVMZGJ0XgeG16kdbIVcrXHRV2fSN+KHIhevnyJK1eu4OnTp0hOTla7l1n9+vXRokUL1KhhXOPrEBERERVE60AUERGBb7/9FsHBwRAEQdVnKDeRSASRSITu3btjzpw5qFWrot67is22+iEAUH7WeNNgIiIqOVoPzDh48GDExcWhTZs2aN++PZydnVG5cmXVvcyUV5ldvHgRx48fx40bNxAYGFihQpFYnHOVhFwuh4mJgYspJ+RyBVJTU2FpyTGtyjsTm0qQp2apHhMRlSatAtHatWuRmJiIH3/8EV5eXgUuO3nyZJw4cQLTp0/H+vXrsXz5cr0UWhZIJFJIpaZIS0tBpUrmWo/sTXkTBAWSkpKQkZHBQFQB2LZ0QIIQpXpMRFSatApEFy5cQM+ePQsNQ0peXl7o2bMnLl++XKziyiJLS2skJsYgPv4VLCwsIZFIUfTTPQL+O+0mICsrU79FGjlBEJCZmYG0tBQEB5/O8/QslT8mNpVQrbuLocvQGsffISpftApE6enpcHQs2u0jatasiYSEBJ2KKsvMzXPG0khNTUJCQoxO20hJiYdcnjM6tUQiRmys7r8wyy4Rrl27hvv37xu6ECINYrEItrYWkEiK/t3U6/g7cgUSEtIYioj0QKtAVLduXQQHB2P69OmQSgtf5fXr1zhx4gTq1KlT7ALLInNzS5ibW0Iuz4ZCUfTbbmzYsAHx8XEAADu7Kvj668X6LtHoSSQSXL58uUy1DrHFoOIQi0WQSMTwDbyAiJeJha+QS3xSutrjL9cd1akGp+o2+Hi4J8ffIdITrQLRiBEjMG/ePIwdOxYff/wxWrVqlWcwksvl+Oeff7BmzRqEhobiq6++0nvBZYlEIoWk6AO4Ii4uDjExrwAAggCYmHCgS2PHFoOKKeJlIkIi4ou0TrZcofa4qOsTUcnQKhANHDgQz549w88//4yxY8dCIpHAwcFB7V5mSUlJiIqKQlZWFgRBwIgRIzBixIiSrp/IKLDFgIiobNN6HKJZs2ahT58+2LlzJ65du4aQkBCEhYWp5ovFYtSuXRtt2rTBwIED0axZsxIpmMiYscWAiKhsKtJI1Q0bNsSSJUsAAAqFAikpKUhLS4OpqSkqV64MEw6+Q0RERGVQkW/doSQWi2FtbQ1ra2t91kNERERU6iri9dxEREREanRuIaLC8TJsIiKiskGrQHTp0iWdX6B9+/Y6r1uW8TJsIiKiskOrQDR27Fid78tVUUca5mXYREREZYdWgWjz5s2YPXs2kpKS0KRJEzRo0KCk6yo3eBk2ERGR8dMqEL399tvYsWMHRo8ejRcvXmDLli2ws7Mr6dqIiIiISoXWHVwaNmyIb7/9FjExMVi+fHlJ1kRERERUqorU4/edd95B165dcfDgQTx58qSkaiIiIiIqVUW+7P6bb77BrVu3YGrKG44SERFR+VDkQFS9enV4eXmVRC1EREREBsGRqomIiKjCYyAiIiKiCo+BiIiIiCo8BiIiIiKq8BiIiIiIqMJjICIiIqIKT6dAlJmZqdVyDx480GXzRERERKVKp0D0/vvv499//813viAI2LhxIwYPHqxzYURERESlRadA9PjxYwwaNAgBAQEa88LCwjB8+HB8//33qFSpUrELJCIiIippOgUiX19fWFhYYMmSJZg8eTLi4+MBAIGBgXjvvfdw48YNdO7cGYcPH9apqJiYGMybNw+dOnVCs2bNMGzYMFy4cEGrdVNTU7Fq1Sp069YNHh4e6NWrF7Zu3Yrs7GydaiEiIqLyr8i37gCA7t27o1mzZvjiiy9w+vRp9OvXD/Xq1cOVK1dga2uLRYsWoW/fvjoVlJqairFjxyI0NBRjxoxBjRo1EBQUhPHjx2PLli3o2LFjvutmZmZi7NixuHPnDoYNG4YGDRrgzJkzWLFiBSIiIjB//nydaiIiIqLyTadABABVq1bF5s2bsWjRIuzatQuvXr2Cra0tfv/9dzg4OOhc0M6dO/Ho0SNs3LgRXbt2BQD0798f/fv3x+LFi/HHH39AJBLlue727dtx8+ZNLFmyRNV/afjw4Zg8eTICAgIwceJE1KhRQ+faiIiIqHzS+bL71NRULF68GLt374ZUKoWLiwvi4+Ph4+ODq1ev6lzQgQMHUKdOHVUYAgBLS0sMGTIEISEhuHnzZr7rBgUFQSaTaXTmnjx5Mj7++GNkZGToXBcRERGVXzoFouDgYHh7eyMgIADOzs7YtWsXDh8+jKlTpyIiIgJjxozBwoULkZqaWqTtJicn4+nTp/Dw8NCY5+7uDgD5BqKoqCiEhYWhU6dOqmmpqalQKBTw8PDAJ598gjp16hSpHqLSIDWzyfXY1oCVEBFVXDqdMps0aRJEIhFGjhyJ2bNnq64mmzp1Kjp37ow5c+bg119/xZkzZ3D69GmttxsdHQ1BEPI85Va9enUAQERERJ7rPn36FADg5OSEX375Bdu3b8eLFy9gaWmJ999/X61OXUml2udHicR4xrw0plqKIvepUZFIVKT9X9qKs48r126H5LDL//+4rUFrKcuv/aaSrKU425aa2SAzM+X/Hxc/APN45zDW461vxlRLeaNTIKpZsya+++47tG/fXmOeu7s79u/fj5UrV2Lnzp1F2m5ycjIAwNzcXGOehYUFACA9PT3PdRMTEwEA/v7+SEpKwoQJE+Dg4IATJ07A398fYWFh2LRpU5HqyU0sFsHOzlLn9Q3J2lpzf5YFYrFI7XFZ3f+FkZrZwK7Bu3rbXlk93vpmrPtB3wHYWN9naaso+6GivE9D0CkQHTp0CJUrV853vqmpKebNmwcvL68ibVehUABAnp2mBUHIdx4AZGVlAQDCw8Nx4MAB1K9fHwDw7rvvwsTEBHv37sX58+cLvEqt4NoEJCWlab28RCI2mg9uUlI65HKFocsoMoVCUHscH1+0U7Clicc7R0XZD8V5n/oOwDzeOYz1eOtbWf19bijW1uZat6rpFIgKCkO5tW1btP9+LC1zWgDy6vysbBnK77WVLUjt2rVThSGlIUOGYO/evbh48aLOgQgAsrPL5odQLlcUufbIyAhs374FAODj8xEcHZ1KorQCKUOw8nFZ3f+lTZfjXR5VlP1QUd5nYSrKfqgo79MQjOpkZK1atQDk9CV608uXLwEg30v6lZfT29vba8yrWrUqACAlJUUvdVYEO3Zsxa1bN3Dr1g34+W01dDlEREQlyqgCkZWVFVxcXHD79m2NecppeV2BBgAymQxmZmZ49OiRxrzQ0FAA/wUuKlxERJjqcXh4WAFLEhERlX1GFYgAoE+fPnj8+DHOnj2rmpaamoqgoCDUr19fdfn9m8zMzNCzZ0/cvXtX7co2hUKBbdu2QSKR4N139XfenoiIiMoPnUeqLiljx47FgQMHMH36dPj4+KBatWoICgpCZGQktmzZoupUff36dYSGhsLT01N1mmzWrFm4evUqpk+fjg8++AC1a9fGsWPHcOXKFUyZMoXjEBEREVGedApET5480ei4rC9WVlYICAjAypUrERAQgKysLDRs2BBbt25Fu3btVMvt3r0b+/btg5+fnyoQKcPTDz/8gMOHDyMpKQkuLi749ttvMWjQoBKpl4iIiMo+nQKRt7c3mjZtivfffx/e3t6wsrLSa1E1atTAqlWrClxm2bJlWLZsmcZ0e3t7LFq0CIsWLdJrTURERFR+6dSHqFevXnjw4AEWLFiAjh07YtasWbh06ZK+ayMiIiIqFTq1EK1duxYpKSk4fPgw9u/fj8OHD+PIkSOoWbMmBgwYgAEDBqB27dr6rpWIiIioROh8lZmVlRWGDRuGX3/9FX/88QcmTJgAsViMDRs2oEePHhg5ciT27duX7602iIiIiIyFXi67d3FxwWeffYaTJ09i06ZNcHR0xLVr1/Dll1+iY8eOWLx4cZ6DLRIREREZA71cdh8bG4tDhw7hyJEjuHPnjuqO9b169cK9e/ewa9cuHDx4ED/99BNatWqlj5ckIiIi0hudA1FmZiZOnDiB/fv34+LFi8jOzoapqSl69uyJgQMHwtPTUzVm0OXLlzFu3DgsWrQIBw8e1FvxRERERPqgUyCaN28ejh07htTUVAiCgEaNGmHgwIHo27cvbGxsNJZv164d6tWrh7Aw3gKCiIiIjI9OgWjv3r2wsbHBiBEjMHDgQDRq1KjQddzc3NCtWzddXo6IiIioROkUiNasWQMvLy+Ymppqvc53332ny0sRERERlTidrjL79ddfcfTo0QKX8fPz481UiYiIqEzQKhAJggCFQgGFQgG5XI6//voL4eHhqmlv/mRmZuLvv/9GVFRUSddPREREVGxanTL7+eefsWbNGrVpvr6+8PX1LXA9V1dX3SsjIiIiKiVaBSIfHx8cP34cMTExAICoqChYWVmhcuXKGsuKRCJIpVI4Ojpi1qxZ+q2WiIiKLTIyAtu3bwEA+Ph8BEdHJwNXRGR4WgUiExMTBAUFqZ43bNgQY8aMwdSpU0usMCIiKhk7dmzFrVs3AAB+flsxd+58A1dEZHg6XWXm5+cHJyf+R0FEVBZFRPw3Jlx4OMeHIwK0DEQKhQJi8X/9r5W331AoFIWum3s9IiIiImOkVSBq0qQJpk6dio8//lj1XBsikQj37t3TvToiIiKiUqBVIHJwcFDrQO3g4FBiBRERERGVNq0C0alTpwp8TkRERFSWsYMPERERVXhatRBdunRJ5xdo3769zusSERERlQatAtHYsWMhEol0eoH79+/rtB4RERFRadEqEPXv31/nQERERERk7LQKRMuWLSvpOoiIiIgMhp2qiYiIqMLTqoXo888/R48ePeDl5aV6rg2RSITly5frXh2VC2KxCGJx0U+55j5Nm3PTYN3zu0IhQKEQdF6fiIjKN60C0cGDB+Hs7KwKRAcPHtRq4wxEJBaLYGtnDolYotO6uR/b2VnqXIdcIUdCfDpDVo5argAAIABJREFUERER5UmrQPTmzVz9/PxKrCAqX8RiESRiCTad8UNkYnSR1k1IS1R7vODgSp1qcLSpgYmdR0MsFjEQUbkjkRS95VRfra+6vDaRsdIqELVp06bA50SFiUyMxvPY8CKtk62Qqz0u6vpE5ZlNZTMICgWsrc2LvK4+W1+JygutAlFB/vnnH9y7dw9paWmwsbGBu7s7GjdurI/aiIgoH5ZmphCJxXh2eAvSY6OKtG5WSoLa43s7FulUg01dNzi9/b5O6xIZG50D0ZUrV/D1118jLCwMACAIgqoZ1s3NDcuWLUP9+vX1UyUREeUpPTYK6dGhRVpHkMvVHhd1fSWzKjV1Wo/IGOkUiG7duoXx48dDoVDgnXfeQfPmzWFpaYno6GhcvXoVf/31F0aNGoWgoCDUqlVL3zUTERER6ZVOgcjX1xeCIGDLli3o0KGDxvyjR49i5syZ+P7777Fq1apiF0lERERUknS6RODatWt455138gxDANC7d2907doV586dK1ZxRERERKVBp0CkUCjg6OhY4DL16tVDZmamTkURERERlSadAlGHDh1w8uTJfAOPQqHAxYsX0bJly2IVR0RERFQatApECoVC7Wf27NlITU3FuHHjcOfOHbVlnz9/jlmzZiE6OhpffvlliRRNREREpE9adapu0qRJntNjYmIwePBgmJqaomrVqkhOTkZKSgoAwNraGhMmTMCJEyf0Vy0RERFRCdAqEDk4OGi1scqVK6Ny5cqq5wqFQreqiIiIiEqRVoHo1KlTJV0HERERkcHwznxERERU4RXrXmZPnjxBXFwc5HI5BOG/u4hnZWUhISEBwcHBWLNmTbGLJKKSFRkZge3btwAAfHw+gqOjk4ErIiIqXToFooSEBIwfPx53794tdFkGIiLjt2PHVty6dQMA4Oe3FXPnzjdwRVSSqluZID4jW/WYiHQ8Zebr64s7d+7AyckJvXv3hpmZGVxdXdGrVy+89dZbEAQBVatWRUBAgL7rJaISEBERpnocHh5WwJJUHvRtWAWyquaQVTVH34ZVDF0OkVHQqYXozJkzcHBwwNGjR2FqaopJkyZBLBarWoM2b96MtWvXIioqSq/FEhFR8VW3NMX4VrxTPVFuOrUQvXjxAl26dIGpqSkAoHHjxrh586Zq/oQJE9CoUSMEBQXpp0oiIiKiEqRTIJJIJGrjDTk7OyMuLg5xcXGqaW3atMHz58+LXyERERFRCdMpEDk6OiIkJET13NnZGQDw+PFjteUSEhJ0r4yIiIiolOgUiDp16oRTp07h4MGDAABXV1dUqlQJu3fvBgCkpqbi9OnTqFGjhv4qJSIiIiohOgWicePGwdbWFnPmzEFQUBAsLS3Rr18/HDlyBN27d0ePHj0QGhqKnj176rteIiIiIr3T6SqzatWqYe/evdiyZQtkMhkAYPbs2Xj16hVOnz4NsVgMb29vTJ48Wa/FEhEREZUEnUeqrlGjBr766ivV8/9r787DoioXP4B/h0GQfUlAExXFEEkQt+uKXcE1ScGFLFfMciml4lp6zbRrBYaZ5ppmLgiyqIhR2bVFEcs1RFQUlRBzAYTSYUsYzu8PfjPXcQacGbaB8/08j88znnPec94z7znMd97znjOWlpbYuHEjZDIZTExMYGpqWicVJCKi5qeFjSnkxeXK10SNrVY/3QEAFRUVyMrKQklJCWxsbNCxY8e6qBcRETVjtr3a4C/hjvI1UWPTOxDdu3cPq1evxnfffYeysjLldCsrK0yYMAELFixAy5Yt66SSRETUvLSwMYWDn0tjV4NISa9AlJeXhxdffBF37txBq1at0LdvX1hYWCAvLw9XrlzBV199hdOnT2PXrl0wMzOr6zoTERER1Sm9AtHnn3+OO3fuYO7cuXjjjTcglUqV84qKirBq1SrExMRg48aNCA0N1Xn99+7dw2effYbk5GTIZDK4u7tj/vz5GDhwoE7rKSgogL+/Pzp37ozIyEid60FERETioNdt90eOHEGfPn0QEhKiEoaAqsHVy5cvh6enJ5KSknRed3FxMYKDg5GUlITAwEAsXLgQpaWlmDVrFlJSUnRa15IlS1Senk1ERESkiV6BSCaToXv37jUu06dPHxQUFOi87t27dyMzMxNr1qzB22+/jcmTJyM6OhrOzs5YsWIFBEHQaj2xsbE4duwYjIz02kUiIiISEb3SQpcuXXD+/Pkal8nKyoKrq6vO605MTESHDh0wZMgQ5TQLCwsEBQUhOztb5Udkq3Pjxg2Eh4dj7ty5MDau9Y10RERE1MzpFYhCQ0Px22+/YdWqVSp3mCns3r0bx44dw4IFC3Rar0wmQ1ZWFry8vNTmeXp6AsATA5FcLsc777wDV1dXzJkzR6ftExERkThp1X0yefJktWmWlpbYtm0b9u/fDw8PDzg4OODBgwe4ePEicnNz0b59exw+fFilp+dJcnNzIQgC2rRRfyaFo6MjAODWrVs1rmPTpk24fPkyEhIS6rx3yNhY+/wolRrOpTp96iKRSFRe67Lvtd12fanPuhjSfrZoIdW5Po+3t6mpfueOkZHkyQs1ELG0N1URS3sbUl2aG63+6p09e7baeYWFhRoHO9+4cQM5OTn4+OOPta6MTCYDAI236pubmwMASktLqy2fnp6OTZs24d1330WnTp203q42jIwksLOzqNN1NhRra90fffDoB1tT3vdH6fM+NCU2Vi0hVFbC0lL353893t7N4b1qDvtA2hNLe4tlPxuDVoHoxx9/rO96AAAqKysBqH5bVVAMptY0DwDKysqwcOFC9OnTB1OnTq2Hugl48KBE6+WlUiODOXAfPCiFXF6pU5nKSkHl9Z9/Fuu17ab+PmjLEPbToqUJJEZG+D1pK0oL7uhUtrzoL5XXl3b+R6862HTshraDx+lVtq419/YmVWJp7/rcz+bI2tpM6141rQJR27Zta1UhbVlYVPVCaBqXpOgZsrKy0lj2k08+wd27d7F69Wr8+eefKvPKy8tRWFgIU1NT5Tb0UVHRNA9CubxS57o/ejefIAhNdt8fpc/70BSVFtxBaW6OTmUEuVzlta7lFVrat9arXH0QS3tTFbG0t1j2szHUapBNbm4u9u/fj4yMDJSUlMDW1hZubm4YPXq0XiHK2dlZud7H5eXlAYDG8UVA1bORSktLERgYqDYvNTUV/fv3R2BgIMLDw3WuFxERETVvegeigwcPYunSpXj48KHas4E2bNiADz74AAEBATqt09LSEi4uLkhPT1ebp5im6Q40AIiIiMDff/+tNv21115Dp06dsGjRIuXAbCIiIqJH6RWI0tLSsHjxYpiamuL1119Hnz594OTkhAcPHuDEiRPYtm0b3nvvPbi6uipvl9eWv78/1q9fj+TkZAwePBhA1dOr4+Lialxfr169NE6XSCSwsbHBgAEDdNtJIiIiEg29AtEXX3wBqVSKqKgodO3aVWWel5cXBg8ejKCgIGzfvh2rV6/Wad3BwcFITExESEgIZsyYAQcHB8TFxeH27dvYunWrclB1amoqcnJyMHDgQLRq1Uqf3SAiIiICoOeDGX/77Tf4+fmphSEFd3d3+Pn54dSpUzqv29LSElFRUfDz80NUVBQiIiJgZmaGbdu2qfTyxMbG4p133sH169f12QUiIiIiJb16iIqKitC6dc13kzg5OeH+/ft6VcrJyQmrVq2qcZnw8HCtBkhrGo9ERERE9Ci9eojatGmD1NTUGpc5d+7cE0MTERERkSHQKxANHToUaWlp+OKLL9TmVVZWYt26dUhLS4Ofn1+tK0hERERU3/S6ZDZnzhwcOnQIa9aswcGDB9GnTx9YWVkhNzcX586dw82bN9GmTRvMnj27rutLREREVOf0CkQ2NjaIjo7G0qVLkZKSojaweeDAgVixYgXs7OzqpJJERERE9UmvQPT333+jTZs2+PLLL5GXl4dLly5BJpPB0tISHh4ecHJyqut6EhEREdUbvQLRhAkT0KdPH7z//vtwdHTkE6CJiIioSdNrUPWNGzdgampa13UhokbiaNlC42siIrHQq4eobdu2yMnR79ewqeFJpbrnXsUTwRWvjY31ys56bZsa3gvu9hAyCpWviYjERq9AFBYWhtmzZ2PhwoUYOXIk2rVrBzMzM43LtmvXrlYVJP3ZWLWEUFkJa2vNbVMTIyOJyms7O4u6rBoZGEcLE8zqzeeGEZF46RWIgoODUVFRgaSkJCQlJVW7nEQiwaVLl/SuHNWORUsTSIyM8HvSVpQW3NGpbHnRXyqvL+38j151sOnYDW0Hj9OrLBERUUPRKxB169atrutB9ai04A5Kc3W7xCnI5SqvdS2v0NKevQ5ERGT49ApEkZGRdV0PIiIiokbDEa9EREQkelr3EBUUFGDdunX4+eef8eeff6J169YYNWoUZs+eDXNz8/qsIxEREVG90ioQFRQUYOLEibhz5w4EQQAA5OTkYMuWLfj555+xZ88eWFjwLiQiIiJqmrS6ZLZlyxbcvn0bY8aMwXfffYe0tDQcOHAAzz33HK5evYpdu3bVdz2JiIiI6o1WgejYsWPo0aMHVq5ciY4dO8LU1BTu7u7YsGED2rdvj59++qm+60lERERUb7QKRHfu3EHPnj3VpkulUgwcOBA3btyo84oRERERNRStAtHff/9d7ZOo7ezsUFxcXKeVIiIiImpIWgWiysrKaudJJJIa5xMREREZOj6HiIiIiESPgYiIiIhET+sHM/7444+4deuW2vTLly8DABYvXqw2TyKR4OOPP65F9YiIiIjqn9aBKCMjAxkZGdXOT0hIUJvGQERERERNgVaBKCwsrL7rQURERNRotApEgYGB9V0PIiIiokbDQdVEREQkegxEREREJHoMRERERCR6DEREREQkegxEREREJHoMRERERCR6DEREREQkegxEREREJHoMRERERCR6DEREREQkegxEREREJHoMRERERCR6DEREREQkegxEREREJHoMRERERCR6DEREREQkegxEREREJHoMRERERCR6DEREREQkegxEREREJHoMRERERCR6DEREREQkegxEREREJHoMRERERCR6DEREREQkegxEREREJHoMRERERCR6DEREREQkegxEREREJHoMRERERCR6BhmI7t27hyVLlsDHxwfe3t6YNGkSjh8/rlXZM2fO4JVXXkHv3r3RrVs3jB49Gjt27EBlZWU915qIiIiaKoMLRMXFxQgODkZSUhICAwOxcOFClJaWYtasWUhJSamx7G+//YZp06YhKysLs2bNwuLFi+Hk5ISwsDAsXbq0gfaAiIiImhrjxq7A43bv3o3MzExs3rwZQ4YMAQAEBAQgICAAK1aswKFDhyCRSDSWXbZsGaysrLBv3z7Y29sDACZPnowFCxZg7969mDJlCrp27dpg+0JERERNg8H1ECUmJqJDhw7KMAQAFhYWCAoKQnZ2NtLS0jSWKygoQGZmJoYOHaoMQwpjxowBAJw9e7b+Kk5ERERNlkH1EMlkMmRlZcHf319tnqenJwAgLS0N3t7eavNtbGzw/fffw9TUVG1eYWEhAEAqldZxjYmIiKg5MKhAlJubC0EQ0KZNG7V5jo6OAIBbt25pLGtsbAwXFxe16XK5HJGRkZBIJPjHP/5Rq/oZG2vfoSaVGlznm+jVZ5uwvQ0P21tcxNLehlSX5sagApFMJgMAmJmZqc0zNzcHAJSWluq0zrCwMGRmZuKFF16Aq6ur3nUzMpLAzs5C7/LU+Kyt1Y8rar7Y3uIilvYWy342BoMKRIpb4zUNmhYEodp51Vm5ciUiIyPRuXNnLF++vJZ1E/DgQYnWy0ulRjxwDcyDB6WQy+vn8Qtsb8PD9hYXsbR3fe5nc2RtbaZ1r5pBBSILi6oemLKyMrV5ip4hKyurJ67n4cOH+Pe//42vv/4anTp1wvbt22FpaVnr+lVU8CBsyuTySrahiLC9xUUs7S2W/WwMBhWInJ2dAVSNJXpcXl4eAGgcX/SooqIizJs3DydPnoSnpye2bNmidtcZERER0aMManSWpaUlXFxckJ6erjZPMc3Ly6va8iUlJXjllVdw8uRJPPfcc9i1axfDEBERET2RQQUiAPD398e1a9eQnJysnFZcXIy4uDi4uroqb7/XZNmyZTh37hxGjBiBjRs3KgdiExEREdXEoC6ZAUBwcDASExMREhKCGTNmwMHBAXFxcbh9+za2bt2qHFSdmpqKnJwcDBw4EK1atcLFixdx8OBBmJiYYMCAAfjmm2/U1u3h4YFnnnmmoXeJiIiIDJzBBSJLS0tERUUhIiICUVFRKC8vh7u7O7Zt24Z+/fopl4uNjUVCQgJ27dqFVq1a4ZdffgFQNaB62bJlGtcdGhrKQERERERqDC4QAYCTkxNWrVpV4zLh4eEIDw9X/v/VV1/Fq6++Wt9VIyIiombI4MYQERERETU0BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYi0sjRsoXG10RERM2RcWNXgAzTC+72EDIKla+JiIiaMwYi0sjRwgSzerdu7GoQERE1CF4yIyIiItFjICIiIiLRYyAiIiIi0WMgIiIiItFjICIiIiLRYyAiIiIi0WMgIiIiItFjICIiIiLRYyAiIiIi0WMgIiIiItFjICIiIiLRYyAiIiIi0WMgIiIiItFjICIiIiLRYyAiIiIi0WMgIiIiItFjICIiIiLRYyAiIiIi0WMgIiIiItFjICIiIiLRYyAiIiIi0WMgIiIiItFjICIiIiLRYyAiIiIi0WMgIiIiItFjICIiIiLRYyAiIiIi0WMgIiIiItFjICIiIiLRYyAiIiIi0WMgIiIiItFjICIiIiLRM8hAdO/ePSxZsgQ+Pj7w9vbGpEmTcPz4ca3K5uTkICQkBP3790ePHj0wc+ZMXLhwoZ5rTERERE2ZwQWi4uJiBAcHIykpCYGBgVi4cCFKS0sxa9YspKSk1Fg2NzcXkydPxsmTJzFlyhSEhITgxo0bmDJlCi5fvtxAe0BERERNjXFjV+Bxu3fvRmZmJjZv3owhQ4YAAAICAhAQEIAVK1bg0KFDkEgkGstu2LABBQUF2L9/P9zd3QEAzz//PEaPHo2VK1di+/btDbYfRERE1HQYXA9RYmIiOnTooAxDAGBhYYGgoCBkZ2cjLS1NYzm5XI6vv/4affv2VYYhAHB0dMTo0aPx66+/Ijc3t97rT0RERE2PQQUimUyGrKwseHl5qc3z9PQEgGoD0dWrV1FSUlJtWUEQkJ6eXrcVJiIiombBoC6Z5ebmQhAEtGnTRm2eo6MjAODWrVvVlgWgV1ltGBlJYG9vofXyiqt6777iC7m8Uqdt/V3qB6GyqozEyAimZtY6lVcwaSEFADwz4U0IlXK91lFbRsYmAIDQYXNQoWMd/h5Vpvo+WLXUqw7GRlXvg42NGQRBr1U8UW3au6409fauK2zvhsP2bjhSaVX/RX3uZ3NkZKR5iI0mBhWIZDIZAMDMzExtnrm5OQCgtLRU57KKadWV1YZEIoFUqv0bq2BjqceHuI257mVq0MJCv0BVl6zNrHQvpH3+1IqRUf13iOrV3nWsybZ3HWN7Nxy2d8NpiP0UK4N6ZysVvQEaBk0L/x+JqxtQXVNZBR5IREREpIlBJQQLi6ougbKyMrV5it4dKyvN30S0KWtpaVkn9SQiIqLmxaACkbOzMwBovBssLy8PgOYxQrUtS0REROJmUIHI0tISLi4uGu8GU0zTdBcZAHTs2BEWFhY1lu3evXsd1paIiIiaC4MKRADg7++Pa9euITk5WTmtuLgYcXFxcHV1Vd5+/zgTExMMHz4cx48fR2ZmpnJ6Xl4evvnmG/j4+MDe3r7e609ERERNj0QQDOsGvqKiIgQEBKCgoAAzZsyAg4MD4uLicPXqVWzduhUDBgwAAKSmpiInJwcDBw5Eq1atAAC3b99GYGAgjIyMEBwcDFNTU0RGRqKwsBB79uxBly5dGnPXiIiIyEAZXCACqsYBRUREIDk5GeXl5XB3d0dISAj69eunXGbRokVISEjArl270LdvX+X069evIyIiAqdOnYJUKoWXlxdCQ0Ph4eHRGLtCRERETYBBBiIiIiKihmRwY4iIiIiIGhoDEREREYkeAxERERGJHgMRERERiR4DEREREYkeA1Ezd+/ePSxZsgQ+Pj7w9vbGpEmTcPz4ca3LX7lyBfPnz0ffvn3RrVs3DBs2DGvWrMHDhw/Vlj1x4gQmT56Mnj17ol+/fli8eDEKCgrqcnfo/+nSLgrLli3DyJEjdd7WoUOHMGHCBPTo0QODBg3CkiVLkJ+fr7ZceXk5Nm/ejOHDh8PLywujRo3C7t27wRtZ60ZOTg7efPNNDBo0CD169MDUqVORkpJSYxl92/zmzZsIDQ1Fv3790KNHDwQFBeHHH39UW27//v3o0qWLxn9btmzRebtiVF5eji1btmDkyJHw9PTEsGHDsHr1apSUlKgsp22baKumY0OXczknJwchISHo378/evTogZkzZ+LChQt616sx8bb7Zqy4uBiTJk1CTk4Opk+fDicnJ8TFxSEzMxNbt27FoEGDaiyfk5ODgIAAtGjRAi+//DIcHR1x4sQJHDp0CAMHDsS2bdsgkUgAAL/88gteffVVdO7cGYGBgbh//z527NiB1q1bY+/evcof36Xa06VdFKKjo/HBBx+gY8eOOHTokNbb2r17N1asWIE+ffpg1KhRyMvLQ2RkJGxsbJCQkABbW1vlsopngwUEBKBnz544evQofvzxR8yZMwdvvfVWne2/GN26dQvjx48HAEybNg1WVlZISEjAxYsXsXbtWo0fbPq2+Y0bNzBp0iRUVlZi6tSpsLa2Rnx8PDIzM9W2FRYWhp07dyI8PFztmPPw8MAzzzyj5x6LxxtvvIHDhw9jzJgx6NWrF1JTU3HgwAEMGTIEmzZtgkQi0alNtPGkY0Pbczk3NxcTJkxAeXk5pk6dCgsLC0RGRqKgoAAxMTFwd3ev9fvToARqtjZv3iy4ubkJP/30k3JaUVGRMHToUGH48OFCZWVljeVnz54tPPvss8L169dVpoeFhQlubm7C4cOHBUEQhMrKSmHkyJGCr6+vIJPJlMsdOXJEcHNzEzZu3FiHe0XatosgCEJZWZnw4YcfCm5uboKbm5swYsQIrbcjk8kET09PYfz48YJcLldO/+GHHwQ3Nzdh3bp1ymmpqamCm5ubEB4errKOkJAQ4dlnnxVu3ryp627SI95++22ha9euwqVLl5TTiouLhcGDBwu+vr4qy9amzQVBEGbOnCl4enoKV65cUdnWoEGDhOHDh6ssO336dLXtk/aSkpIENzc3YfXq1SrTV6xYIbi5uQlnz54VBEG3NqmJNseGLufy0qVLha5duwoZGRnKabm5uULv3r2FGTNmaF0vQ8FLZs1YYmIiOnTogCFDhiinWVhYICgoCNnZ2UhLS6u2rFwux6lTp9C7d2906tRJZd7YsWMBAGfPngVQ9eO5WVlZmDBhAiwtLZXLPffcc3B1dUViYmJd7pao6dIuN27cwIgRI7Br1y4EBQXByclJp2398ccf8PT0xJQpU2Bk9L8/FYonxl++fFk57cCBAwCA6dOnq6xj5syZKC8vx7fffqvTtkmVRCKBn58funbtqpxmbm6O7t27448//kBRURGA2rf5rVu3cPz4cUycOBFubm4q21q0aBHGjh2rclk2MzOTvUC1EBsbCzs7O8ybN09l+tSpUzF37lyYmJjo3CbV0fbY0PZclsvl+Prrr9G3b1+VniBHR0eMHj0av/76K3Jzc7V7IwyEcWNXgOqHTCZDVlYW/P391eYpfiA3LS0N3t7eGssbGRkhMTFR4zXjwsJCAIBUKgUAnDt3DgDQvXt3jds6cOAAZDIZrKys9NsZUtKlXe7evQsbGxusWLECPj4+8PX11Wlb7u7uiIqKUpt+6dIlAECbNm2U09LS0uDk5ITWrVurLOvh4QGpVFpj+KYnW7Vqldq0iooKXLlyBTY2NspL0rVt89OnT0MQBAwePBgAIAgCSkpKYGFhgdGjR6ssm5+fj4KCAmUgUnwom5iY6Lx/YlRRUYHU1FT4+vrC1NQUAFBaWgoTExN06NABb775JoCqgKJtm9RE22ND23P56tWrKCkpgZeXl9o6PD09sWfPHqSnp+scyhsTA1EzlZubC0EQVD60FBwdHQFUfRusjkQiQbt27TTO27lzJwAof0Pu7t27AKB2Aj2+rSZ3PdkA6dIuPXr0qLPeOUEQcPv2bZw9exYRERGws7PDtGnTlPPv3r2L9u3bq5UzNjaGvb19jcca6eb+/fu4du0avvjiC2RnZ2Pp0qXK8Tu1bfPff/8dAGBra4vly5fj4MGDKC4uhqOjI+bNm4eXXnpJueyVK1cAVPU8jBkzBlevXgUA9O7dG4sWLcKzzz6rdz3E4I8//sDDhw/h7OyMAwcOYNOmTcjOzoaJiQlGjhyJ9957DzY2Njq1SU20PTa0PZcVvT/6fsYYIgaiZkomkwEAzMzM1OaZm5sDqPo2oqvt27fj6NGj6NWrF3x8fABA2V2vWO+jFNt//I4Jqlua2qUuv6n/8ccfGDp0KICqHqiPPvpIJZjJZDKNxxpQdQzoc6yRZvPmzcOZM2cAAEOHDkVgYKByXm3b/P79+wCAd999F+bm5li6dCmMjIwQHR2N5cuXo7i4GLNmzQLwv0CUmpqKV155Be3atUNmZia2bduGyZMnIyoqiqGoBg8ePAAA/PTTT4iOjsZrr72Gzp074+TJk4iKisL169cRExOjU5vURNtjQ9tzuabPGMW0pnbeMxAisQwtAAAMpUlEQVQ1U5WVlQCgducHAOXlFk3zarJr1y6sXLkSDg4O+PTTT3Xa1qNjUKhuVdcudally5b47LPPUF5ejr1792LRokX4/fff8fbbbyuXqe54EgRB52ONqjdt2jQEBwfjzJkz2L17N4KCghAdHQ0bG5tar7u8vBxAVZvFxMQoP0Sff/55vPDCC1i/fj2CgoJgbW2N7t27Y86cOQgKCkLbtm0BAH5+fvDx8UFQUBDCw8MRGRlZ6zo1V4pLjFlZWdixYwf69+8PABg2bBjs7Ozw+eefIyEhQac2qSvanMs1/d1XaGp/95tWbUlrijEFZWVlavMUqd3Kygp//fUX8vPzVf49XkYQBEREROCjjz5Cq1atsGPHDpVuUsW2NH0bUKyL44fq3pPaRRtyuVyt/TU9Y8jBwQHPP/88xo4di507d6JXr17YunUrbt68CaCqd7C6b4NlZWVs/zo0YsQIDB06FIsWLcL777+Pa9eu6RQ8ampzxTf78ePHq/QotGjRAuPGjUNpaSlSU1MBVF0ae+utt5RhSKFbt27o0aMHzp49q9VgX7FS9Kh36tRJGYYUgoKCAFQ9zkTbNtH2XNamXtqcy9p8xjx6k01TwB6iZsrZ2RkANI7yz8vLA1B17Xf+/Pk4deqUyvywsDCMGzcOQNW3mMWLFyMpKQnt27fHtm3b1K4vP7otFxcXtW1JJJImNbCuKdCmXbRx584d+Pn5qU1XXA7RxMjICKNHj8bZs2dx6dIltGvXDs7Ozsrj6lEVFRUoLCxEz549da4bPZm/vz/ef/99nR6EV1ObK8YBtmrVSm3+U089BeB/l8hr8tRTT0EulysHCZO6mt5re3t7SCQSFBUVKW+CeVKb6HMua6LtuaztZ0xTwkDUTFlaWsLFxQXp6elq8xTTvLy84O3trbyWrdC5c2cAVd8k33rrLfzwww/w9PTEli1bYG9vr7a+bt26KderGND76LZcXV2b3DcFQ6Ztu2jDwcEB27dv1zgvPj4ea9euRVhYmHJckkJxcTGAqktpQNUxEBsbi4KCAuUfaaDqjjS5XK7xThTSTmFhIV566SV0794dn3zyicq8kpISCIKgvEtJGzW1uaKdFAOkH5WTkwPgfx+EoaGhuHDhAr7++mu10JOVlQVbW9s6vYzT3Njb26Nt27a4fv06KisrVS4v3bx5E4IgwNnZWes2qalddaHtudyxY0dYWFjU+Bmj6c5jQ8ZLZs2Yv78/rl27huTkZOW04uJixMXFwdXVFZ6enujWrRsGDBig8k9xh8C6devwww8/oGfPnti5c2e1H7re3t5wdnZGbGys8oMSAI4ePYrr168rn49DdUPbdtGGqampWvsPGDAAAPDMM88gPz8f27dvV7nN//79+4iJiYGtrS169+4NAMrbfx//g7x9+3a0aNFCp9uDSZWit+D7779Hdna2yrzNmzcDqBp3oq2a2rx3795wdnbGvn37lHePAsBff/2F+Ph4tG3bVtlj4ejoiOzsbOzbt09l/QcPHsTVq1cxZswYjh17goCAABQUFGDPnj0q07/88ksAwKhRo7Ruk5raVRfanssmJiYYPnw4jh8/jszMTOVyeXl5+Oabb+Dj41Orv02NgT/d0YwVFRUpT7gZM2bAwcEBcXFxuHr1KrZu3VrjyZKfnw9fX1+Ul5cjNDRUGZIe1bFjR+W3hZ9++gmvv/463Nzc8OKLL+LevXvYvn07nJ2dERMTw5/uqCO6tsujfH19YWJiotPPOLz33nuIj49Hv379MHz4cDx48ACxsbHIz8/HmjVrVD6IFyxYgO+//x7jxo1TPu7/8OHDmD9/Pt544w39dpgAVP1O4KxZs2Bra4uXX34ZNjY2OHLkCJKTkzFy5EisWbNGY/jQp81PnDiB1157Dba2tpgyZQqMjY2xZ88e3L59G5s3b1b2FspkMowbNw63b9/G+PHj4eHhgYsXL2Lv3r3o3LkzoqOjOXbsCUpLS/Hyyy/j8uXLmDhxIjw8PJCSkoLDhw9j7Nixyh5BbdtEFzUdG9qey7dv30ZgYCCMjIwQHBwMU1NTREZGorCwEHv27EGXLl30f3MaAQNRM5ebm4uIiAgkJyejvLwc7u7uCAkJUT5tuDrffvvtE39/6sUXX8R//vMf5f+PHDmCDRs24MqVK7C2tsbgwYPx9ttva7z2TfrRp10U9PlwFAQBUVFRiImJQXZ2Nlq2bIlevXph3rx5at3hDx8+xIYNG5CYmIjCwkK0a9cOkydPxssvv6z19qh658+fx/r163HmzBk8fPgQnTp1wsSJEzF58uRq7+bRp80B4OLFi1i3bp3yQY2enp6YP3++skdQQRGMjx49ir/++guOjo4YPnw4Xn/9dYYhLRUVFWHjxo347rvvkJ+fj7Zt22LixImYOXOmSrtq2ybaqunY0OVcvn79OiIiInDq1ClIpVJ4eXkhNDQUHh4eetWrMTEQERERkehxDBERERGJHgMRERERiR4DEREREYkeAxERERGJHgMRERERiR4DEREREYkeAxERERGJHgMRERERiR4DEREREYkeAxERNTsbNmxAly5d0L17dzx48KCxq0NETQADERE1K4IgICEhAebm5igrK0NCQkJjV4mImgAGIiJqVk6ePImbN29i+vTpMDU1RWxsbGNXiYiaAAYiImpW9u3bBwAYMWIEBg8ejOvXr+PUqVONXCsiMnQMRETUbBQVFeHw4cNwdHSEu7s7Ro8eDQCIiYnRuPy1a9ewYMECDBgwAN7e3pg2bRrS0tIwY8YMdOnSRW35o0ePYsaMGejduze8vLwwduxYREZGorKysl73i4jqn3FjV4CIqK4kJSWhtLQUL730EiQSCXx9fWFtbY3//ve/KCwshL29vXLZ9PR0zJgxAyUlJfDz80P79u2RkpKCqVOnwsbGRm3dW7duxapVq2Bvb48RI0bA2toaKSkp+PDDD3H69GmsXbsWEomkIXeXiOoQe4iIqNlQXC4bO3YsAMDU1BSjRo1CeXk59u7dq7Ls0qVLUVRUhHXr1mH9+vV45513kJCQgEGDBiEvL09l2UuXLmH16tVwc3PDt99+i48++gjvvvsuEhMT4e/vj++//x7x8fENs5NEVC8YiIioWbh27RrOnz8PNzc3uLu7K6cHBAQAAOLi4iAIAgAgIyMDGRkZGDhwIIYOHapcViqVYvHixZBKpSrrjo+PR2VlJf71r3/Bzs5OOd3IyAjvvPOOchkiarp4yYyImgVF79CYMWNUpvfs2RMuLi7Izs5GSkoKfHx8cP78eQCAt7e32nratWuH1q1b49atW8pp6enpAIBjx44pyz6qZcuWyMjIgCAIvGxG1EQxEBFRk1dRUYGDBw8CAFatWoVVq1ZpXC4mJgY+Pj74888/AQAODg4al3N0dFQJRIqHO0ZGRtZYj+LiYlhaWupcfyJqfAxERNTkHTlyBPfu3YOLiwv69u2rcZn4+Hj8/PPPyM3NhYWFBQBAJpNpXLa4uFjl/4rlf/nlFzz11FN1WHMiMhQMRETU5CkGTM+dO1c5Zuhxd+/exdGjRxEfH49BgwYBAM6dO6e23P379/H777+rTOvatSsuXbqEtLQ0+Pr6qswrKirC2rVr0aFDB0yZMqUudoeIGgEHVRNRk3bv3j0cO3YM5ubmGDFiRLXLBQUFAajqKfL09ISbmxuOHDmC5ORk5TJyuRwrV65EeXm5StkJEyYAACIiIpCfn68y79NPP8WuXbuQkZFRV7tERI1AIihuuyAiaoIUzwcaN24cwsLCql2uoqIC//znP5Gfn48NGzagVatWmD59Oh4+fIihQ4fi6aefxsmTJ3Hjxg3I5XKUl5erhJy1a9di48aNsLGxga+vL+zs7HD69Gmkp6ejU6dO2L17Ny+nETVh7CEioiZN8eOtgYGBNS5nbGyMcePGAagaXO3t7Y3o6Gj4+Pjgl19+QWxsLOzt7bFnzx6YmZnBzMxMpXxISAg2btwIDw8P/PDDD4iOjkZxcTHmzJmDPXv2MAwRNXHsISIi0Xn48CFyc3Px9NNPqz1zqKysDD179kTHjh3xzTffNFINiaihsYeIiESntLQUw4YNw8SJE1FRUaEy76uvvoJcLkf//v0bqXZE1BjYQ0REorRw4UIcPHgQrq6uGDRoEKRSKS5cuIBTp07B2dkZ+/btg62tbWNXk4gaCAMREYlSRUUF4uPjsX//fuTk5KCsrAytW7eGn58fZs+erfEHXomo+WIgIiIiItHjGCIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEj0GIiIiIhI9BiIiIiISPQYiIiIiEr3/A+Rwgs8xmF7JAAAAAElFTkSuQmCC","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["o = labelDict['label_age_range']\n","\n","g = sns.barplot(x=\"age_range\", y=\"treatment\", hue=\"Gender\", data=train_df)\n","g.set_xticklabels(o)\n","\n","plt.title('Probability of mental health condition')\n","plt.ylabel('Probability x 100')\n","plt.xlabel('Age')\n","\n","plt.show()"]},{"cell_type":"markdown","metadata":{"_cell_guid":"6517af95-3b02-4b50-b246-ea56f61f6113","_uuid":"4ed2e62093d643cf105829ff2ae9a9917b110996"},"source":["Barplot to show probabilities for family history"]},{"cell_type":"code","execution_count":105,"metadata":{"_cell_guid":"b93d6150-b23a-4b71-8cf8-a10b811152a8","_uuid":"605bf86a497f0b7989b57a3458088131f564e2a8","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["o = labelDict['label_family_history']\n","g = sns.barplot(x=\"family_history\", y=\"treatment\", hue=\"Gender\", data=train_df)\n","g.set_xticklabels(o)\n","plt.title('Probability of mental health condition')\n","plt.ylabel('Probability x 100')\n","plt.xlabel('Family History')\n","\n","plt.show()"]},{"cell_type":"markdown","metadata":{"_cell_guid":"beecc2fe-4cd8-489c-bc0e-bb5ad633931c","_uuid":"7c7baa6c000ab81edb071071d45bac309f796d80"},"source":["Barplot to show probabilities for care options"]},{"cell_type":"code","execution_count":106,"metadata":{"_cell_guid":"c77da62e-f71f-49fb-9c13-fe2fea3d474e","_uuid":"bc61dc5b0c4c0a8204453524438006a84f6168d1","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["o = labelDict['label_care_options']\n","g = sns.barplot(x=\"care_options\", y=\"treatment\", hue=\"Gender\", data=train_df)\n","g.set_xticklabels(o)\n","plt.title('Probability of mental health condition')\n","plt.ylabel('Probability x 100')\n","plt.xlabel('Care options')\n","\n","plt.show()"]},{"cell_type":"markdown","metadata":{"_cell_guid":"56de0fc1-8ee1-41b8-868e-133db7635c64","_uuid":"5f9e29712de3b44df01755c481b898a38e508f07"},"source":["Barplot to show probabilities for benefits"]},{"cell_type":"code","execution_count":107,"metadata":{"_cell_guid":"4fab65ea-f3f5-4831-9f3f-7560fb908d3e","_uuid":"25c2da49fd8c83fc2d42355c0e147f439c00a7c0","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["o = labelDict['label_benefits']\n","g = sns.barplot(x=\"care_options\", y=\"treatment\", hue=\"Gender\", data=train_df)\n","g.set_xticklabels(o)\n","plt.title('Probability of mental health condition')\n","plt.ylabel('Probability x 100')\n","plt.xlabel('Benefits')\n","\n","plt.show()"]},{"cell_type":"markdown","metadata":{"_cell_guid":"bebe13ce-94d5-487c-88b8-7a634f361223","_uuid":"9cfc643a94d39e2c06ed870c306deee6a9219b60"},"source":["Barplot to show probabilities for work interfere"]},{"cell_type":"code","execution_count":108,"metadata":{"_cell_guid":"1606646f-0db7-41f9-b4bc-f8f2c982087c","_uuid":"a7f3daeded334645d4cf5bd202e3116811159481","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["o = labelDict['label_work_interfere']\n","g = sns.barplot(x=\"work_interfere\", y=\"treatment\", hue=\"Gender\", data=train_df)\n","g.set_xticklabels(o)\n","plt.title('Probability of mental health condition')\n","plt.ylabel('Probability x 100')\n","plt.xlabel('Work interfere')\n","\n","plt.show()"]},{"cell_type":"markdown","metadata":{"_cell_guid":"4ea1fe2d-e6bd-434f-807c-9936f17be784","_uuid":"ebb8c1dc1fdd5dcfa5f9d1b05db3d23323b21adc"},"source":["<a id='Scaling_and_fitting'></a>\n","## **6. Scaling and fitting** ##\n","\n"]},{"cell_type":"markdown","metadata":{"_cell_guid":"a95cf3ba-36d4-4df5-9797-2ccf1f018f5a","_uuid":"5bdd6122fff56b5957a59210160269e7a32af869"},"source":["Features Scaling\n","We're going to scale age, because is extremely different from the othere ones."]},{"cell_type":"code","execution_count":109,"metadata":{"_cell_guid":"6ae3cc24-d8cf-4ab2-915d-091007ff2457","_uuid":"d8dcf5e62e990fb6747f5695cbce9919f5cdec4b","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Age</th>\n","      <th>Gender</th>\n","      <th>self_employed</th>\n","      <th>family_history</th>\n","      <th>treatment</th>\n","      <th>work_interfere</th>\n","      <th>no_employees</th>\n","      <th>remote_work</th>\n","      <th>tech_company</th>\n","      <th>benefits</th>\n","      <th>...</th>\n","      <th>leave</th>\n","      <th>mental_health_consequence</th>\n","      <th>phys_health_consequence</th>\n","      <th>coworkers</th>\n","      <th>supervisor</th>\n","      <th>mental_health_interview</th>\n","      <th>phys_health_interview</th>\n","      <th>mental_vs_physical</th>\n","      <th>obs_consequence</th>\n","      <th>age_range</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0.431818</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>...</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>0.590909</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>5</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>0.318182</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>4</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>...</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>0.295455</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>...</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>2</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>0.295455</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>2</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5 rows × 24 columns</p>\n","</div>"],"text/plain":["        Age  Gender  self_employed  family_history  treatment  work_interfere  \\\n","0  0.431818       0              0               0          1               2   \n","1  0.590909       1              0               0          0               3   \n","2  0.318182       1              0               0          0               3   \n","3  0.295455       1              0               1          1               2   \n","4  0.295455       1              0               0          0               1   \n","\n","   no_employees  remote_work  tech_company  benefits  ...  leave  \\\n","0             4            0             1         2  ...      2   \n","1             5            0             0         0  ...      0   \n","2             4            0             1         1  ...      1   \n","3             2            0             1         1  ...      1   \n","4             1            1             1         2  ...      0   \n","\n","   mental_health_consequence  phys_health_consequence  coworkers  supervisor  \\\n","0                          1                        1          1           2   \n","1                          0                        1          0           0   \n","2                          1                        1          2           2   \n","3                          2                        2          1           0   \n","4                          1                        1          1           2   \n","\n","   mental_health_interview  phys_health_interview  mental_vs_physical  \\\n","0                        1                      0                   2   \n","1                        1                      1                   0   \n","2                        2                      2                   1   \n","3                        0                      0                   1   \n","4                        2                      2                   0   \n","\n","   obs_consequence  age_range  \n","0                0          2  \n","1                0          2  \n","2                0          2  \n","3                1          2  \n","4                0          2  \n","\n","[5 rows x 24 columns]"]},"execution_count":109,"metadata":{},"output_type":"execute_result"}],"source":["# Scaling Age\n","scaler = MinMaxScaler()\n","train_df['Age'] = scaler.fit_transform(train_df[['Age']])\n","train_df.head()\n"]},{"cell_type":"markdown","metadata":{"_cell_guid":"653ecfa5-8248-41e3-a470-655859fd33f8","_uuid":"ce9cbb939ed0411f3280348e888e448a623a55c5"},"source":["Spliltting the dataset"]},{"cell_type":"code","execution_count":110,"metadata":{"_cell_guid":"3687ae06-561c-4a0c-94a4-aad2275022ce","_uuid":"6477bae9fc3654aef51e7048c0382c7888c9e36c","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[],"source":["# define X and y\n","feature_cols = ['Age', 'Gender', 'family_history', 'benefits', 'care_options', 'anonymity', 'leave', 'work_interfere']\n","X = train_df[feature_cols]\n","y = train_df.treatment\n","\n","# split X and y into training and testing sets\n","X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.30, random_state=0)\n","\n","# Create dictionaries for final graph\n","# Use: methodDict['Stacking'] = accuracy_score\n","methodDict = {}\n","rmseDict = ()\n","\n"]},{"cell_type":"code","execution_count":111,"metadata":{"_cell_guid":"b958ffcc-6625-421e-b5d0-57cdd753d32f","_uuid":"5cbfa3c0808b550849fbe80158556775a4367b03","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1200x800 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Build a forest and compute the feature importances\n","forest = ExtraTreesClassifier(n_estimators=250,\n","                              random_state=0)\n","\n","forest.fit(X, y)\n","importances = forest.feature_importances_\n","std = np.std([tree.feature_importances_ for tree in forest.estimators_],\n","             axis=0)\n","indices = np.argsort(importances)[::-1]\n","\n","labels = []\n","for f in range(X.shape[1]):\n","    labels.append(feature_cols[f])      \n","    \n","# Plot the feature importances of the forest\n","plt.figure(figsize=(12,8))\n","plt.title(\"Feature importances\")\n","plt.bar(range(X.shape[1]), importances[indices],\n","       color=\"r\", yerr=std[indices], align=\"center\")\n","plt.xticks(range(X.shape[1]), labels, rotation='vertical')\n","plt.xlim([-1, X.shape[1]])\n","plt.show()"]},{"cell_type":"markdown","metadata":{"_cell_guid":"b07c9bf0-3323-4cb3-9589-fe64b1fd854a","_uuid":"a5a4b72ee4b193749ff0f59acb689c5900d98ec1"},"source":["<a id='Tuning'></a>\n","## **7. Tuning** \n","### **Evaluating a Classification Model.** <br>\n","This function will evalue:<br>\n","* **Classification accuracy: **percentage of correct predictions\n","* **Null accuracy:** accuracy that could be achieved by always predicting the most frequent class\n","* **Percentage of ones**<br>\n","* **Percentage of zero**s<br>\n","* **Confusion matrix: **Table that describes the performance of a classification model\n","        True Positives (TP): we correctly predicted that they do have diabetes\n","        True Negatives (TN): we correctly predicted that they don't have diabetes\n","        False Positives (FP): we incorrectly predicted that they do have diabetes (a \"Type I error\")\n","        Falsely predict positive\n","        False Negatives (FN): we incorrectly predicted that they don't have diabetes (a \"Type II error\")\n","        Falsely predict negative\n","\n","* **False Positive Rate**<br>\n","* **Precision of Positive value**<br>\n","* **AUC:** is the percentage of the ROC plot that is underneath the curve\n","        .90-1 = excellent (A)\n","        .80-.90 = good (B)\n","        .70-.80 = fair (C)\n","        .60-.70 = poor (D)\n","        .50-.60 = fail (F)\n","And some others values for tuning processes.\n","More information:  [http://www.ritchieng.com/machine-learning-evaluate-classification-model/]: \n"]},{"cell_type":"markdown","metadata":{"_cell_guid":"ae969199-93b6-4566-a677-69560ab1760f","_uuid":"8f672b391aa354c77032b1f0c174a59aaa75cea9"},"source":[]},{"cell_type":"code","execution_count":112,"metadata":{"_cell_guid":"0c78481e-0e93-4369-932f-d2b21f1dea0c","_uuid":"dec481c2407ad73187e7b678fbdb9812f6a636a8","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[],"source":["def evalClassModel(model, y_test, y_pred_class, plot=False):\n","    #Classification accuracy: percentage of correct predictions\n","    # calculate accuracy\n","    print('Accuracy:', metrics.accuracy_score(y_test, y_pred_class))\n","    \n","    #Null accuracy: accuracy that could be achieved by always predicting the most frequent class\n","    # examine the class distribution of the testing set (using a Pandas Series method)\n","    print('Null accuracy:\\n', y_test.value_counts())\n","    \n","    # calculate the percentage of ones\n","    print('Percentage of ones:', y_test.mean())\n","    \n","    # calculate the percentage of zeros\n","    print('Percentage of zeros:',1 - y_test.mean())\n","    \n","    #Comparing the true and predicted response values\n","    print('True:', y_test.values[0:25])\n","    print('Pred:', y_pred_class[0:25])\n","    \n","    #Conclusion:\n","    #Classification accuracy is the easiest classification metric to understand\n","    #But, it does not tell you the underlying distribution of response values\n","    #And, it does not tell you what \"types\" of errors your classifier is making\n","    \n","    #Confusion matrix\n","    # save confusion matrix and slice into four pieces\n","    confusion = metrics.confusion_matrix(y_test, y_pred_class)\n","    #[row, column]\n","    TP = confusion[1, 1]\n","    TN = confusion[0, 0]\n","    FP = confusion[0, 1]\n","    FN = confusion[1, 0]\n","    \n","    # visualize Confusion Matrix\n","    sns.heatmap(confusion,annot=True,fmt=\"d\") \n","    plt.title('Confusion Matrix')\n","    plt.xlabel('Predicted')\n","    plt.ylabel('Actual')\n","    plt.show()\n","    \n","    #Metrics computed from a confusion matrix\n","    #Classification Accuracy: Overall, how often is the classifier correct?\n","    accuracy = metrics.accuracy_score(y_test, y_pred_class)\n","    print('Classification Accuracy:', accuracy)\n","    \n","    #Classification Error: Overall, how often is the classifier incorrect?\n","    print('Classification Error:', 1 - metrics.accuracy_score(y_test, y_pred_class))\n","    \n","    #False Positive Rate: When the actual value is negative, how often is the prediction incorrect?\n","    false_positive_rate = FP / float(TN + FP)\n","    print('False Positive Rate:', false_positive_rate)\n","    \n","    #Precision: When a positive value is predicted, how often is the prediction correct?\n","    print('Precision:', metrics.precision_score(y_test, y_pred_class))\n","    \n","    \n","    # IMPORTANT: first argument is true values, second argument is predicted probabilities\n","    print('AUC Score:', metrics.roc_auc_score(y_test, y_pred_class))\n","    \n","    # calculate cross-validated AUC\n","    print('Cross-validated AUC:', cross_val_score(model, X, y, cv=10, scoring='roc_auc').mean())\n","    \n","    ##########################################\n","    #Adjusting the classification threshold\n","    ##########################################\n","    # print the first 10 predicted responses\n","    # 1D array (vector) of binary values (0, 1)\n","    print('First 10 predicted responses:\\n', model.predict(X_test)[0:10])\n","\n","    # print the first 10 predicted probabilities of class membership\n","    print('First 10 predicted probabilities of class members:\\n', model.predict_proba(X_test)[0:10])\n","\n","    # print the first 10 predicted probabilities for class 1\n","    model.predict_proba(X_test)[0:10, 1]\n","    \n","    # store the predicted probabilities for class 1\n","    y_pred_prob = model.predict_proba(X_test)[:, 1]\n","    \n","    if plot == True:\n","        # histogram of predicted probabilities\n","        # adjust the font size \n","        plt.rcParams['font.size'] = 12\n","        # 8 bins\n","        plt.hist(y_pred_prob, bins=8)\n","        \n","        # x-axis limit from 0 to 1\n","        plt.xlim(0,1)\n","        plt.title('Histogram of predicted probabilities')\n","        plt.xlabel('Predicted probability of treatment')\n","        plt.ylabel('Frequency')\n","    \n","    \n","    # predict treatment if the predicted probability is greater than 0.3\n","    # it will return 1 for all values above 0.3 and 0 otherwise\n","    # results are 2D so we slice out the first column\n","    y_pred_prob = y_pred_prob.reshape(-1,1) \n","    y_pred_class = binarize(y_pred_prob)[0]\n","    \n","    # print the first 10 predicted probabilities\n","    print('First 10 predicted probabilities:\\n', y_pred_prob[0:10])\n","    \n","    ##########################################\n","    #ROC Curves and Area Under the Curve (AUC)\n","    ##########################################\n","    \n","    #Question: Wouldn't it be nice if we could see how sensitivity and specificity are affected by various thresholds, without actually changing the threshold?\n","    #Answer: Plot the ROC curve!\n","    \n","    \n","    #AUC is the percentage of the ROC plot that is underneath the curve\n","    #Higher value = better classifier\n","    roc_auc = metrics.roc_auc_score(y_test, y_pred_prob)\n","    \n","    \n","\n","    # IMPORTANT: first argument is true values, second argument is predicted probabilities\n","    # we pass y_test and y_pred_prob\n","    # we do not use y_pred_class, because it will give incorrect results without generating an error\n","    # roc_curve returns 3 objects fpr, tpr, thresholds\n","    # fpr: false positive rate\n","    # tpr: true positive rate\n","    fpr, tpr, thresholds = metrics.roc_curve(y_test, y_pred_prob)\n","    if plot == True:\n","        plt.figure()\n","        \n","        plt.plot(fpr, tpr, color='darkorange', label='ROC curve (area = %0.2f)' % roc_auc)\n","        plt.plot([0, 1], [0, 1], color='navy', linestyle='--')\n","        plt.xlim([0.0, 1.0])\n","        plt.ylim([0.0, 1.0])\n","        plt.rcParams['font.size'] = 12\n","        plt.title('ROC curve for treatment classifier')\n","        plt.xlabel('False Positive Rate (1 - Specificity)')\n","        plt.ylabel('True Positive Rate (Sensitivity)')\n","        plt.legend(loc=\"lower right\")\n","        plt.show()\n","    \n","    # define a function that accepts a threshold and prints sensitivity and specificity\n","    def evaluate_threshold(threshold):\n","        #Sensitivity: When the actual value is positive, how often is the prediction correct?\n","        #Specificity: When the actual value is negative, how often is the prediction correct?print('Sensitivity for ' + str(threshold) + ' :', tpr[thresholds > threshold][-1])\n","        print('Specificity for ' + str(threshold) + ' :', 1 - fpr[thresholds > threshold][-1])\n","\n","    # One way of setting threshold\n","    predict_mine = np.where(y_pred_prob > 0.50, 1, 0)\n","    confusion = metrics.confusion_matrix(y_test, predict_mine)\n","    print(confusion)\n","    \n","    \n","    \n","    return accuracy"]},{"cell_type":"markdown","metadata":{"_cell_guid":"3e4552da-c5cc-45af-81ca-05a090922bb0","_uuid":"4e5d57cfad5eee9dd3a34ed9da5fdccce8dc7c3a"},"source":["### **Tuning with cross validation score**"]},{"cell_type":"code","execution_count":113,"metadata":{"_cell_guid":"ff07e090-5af7-4a06-b553-c86a7a75cd64","_uuid":"8ac94690bafb3277fec2d35bd196c317a33c9555","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[],"source":["##########################################\n","# Tuning with cross validation score\n","##########################################\n","def tuningCV(knn):\n","    \n","    # search for an optimal value of K for KNN\n","    k_range = list(range(1, 31))\n","    k_scores = []\n","    for k in k_range:\n","        knn = KNeighborsClassifier(n_neighbors=k)\n","        scores = cross_val_score(knn, X, y, cv=10, scoring='accuracy')\n","        k_scores.append(scores.mean())\n","    print(k_scores)\n","    # plot the value of K for KNN (x-axis) versus the cross-validated accuracy (y-axis)\n","    plt.plot(k_range, k_scores)\n","    plt.xlabel('Value of K for KNN')\n","    plt.ylabel('Cross-Validated Accuracy')\n","    plt.show()\n"]},{"cell_type":"markdown","metadata":{"_cell_guid":"55a2a701-b435-4143-bc7b-c56b4a24491f","_uuid":"1cae2be4f65fc14d55eb1331110f69f016df2dbc"},"source":["### **Tuning with GridSearchCV** ###"]},{"cell_type":"code","execution_count":114,"metadata":{"_cell_guid":"736e766c-b1c8-4d7e-b1b0-1bdab402ee4f","_uuid":"3f64ad65f27cd4a92e5593ed6359245f34ba0e8e","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[],"source":["def tuningGridSerach(knn):\n","    #More efficient parameter tuning using GridSearchCV\n","    # define the parameter values that should be searched\n","    k_range = list(range(1, 31))\n","    print(k_range)\n","    \n","    # create a parameter grid: map the parameter names to the values that should be searched\n","    param_grid = dict(n_neighbors=k_range)\n","    print(param_grid)\n","    \n","    # instantiate the grid\n","    grid = GridSearchCV(knn, param_grid, cv=10, scoring='accuracy')\n","\n","    # fit the grid with data\n","    grid.fit(X, y)\n","    \n","    # view the complete results (list of named tuples)\n","    grid.cv_results_\n","    \n","    # examine the first tuple\n","    print(grid.cv_results_[0].parameters)\n","    print(grid.cv_results_[0].cv_validation_scores)\n","    print(grid.cv_results_[0].mean_validation_score)\n","    \n","    # create a list of the mean scores only\n","    grid_mean_scores = [result.mean_validation_score for result in grid.cv_results_]\n","    print(grid_mean_scores)\n","    \n","    # plot the results\n","    plt.plot(k_range, grid_mean_scores)\n","    plt.xlabel('Value of K for KNN')\n","    plt.ylabel('Cross-Validated Accuracy')\n","    plt.show()\n","    \n","    # examine the best model\n","    print('GridSearch best score', grid.best_score_)\n","    print('GridSearch best params', grid.best_params_)\n","    print('GridSearch best estimator', grid.best_estimator_)\n"]},{"cell_type":"markdown","metadata":{"_cell_guid":"9ff8088d-53b8-4724-ab5a-3c23e8728b61","_uuid":"2ab0cb978d8869389d97fb4d29f4cab1c3a33ba7"},"source":["### **Tuning with RandomizedSearchCV** ###"]},{"cell_type":"code","execution_count":115,"metadata":{"_cell_guid":"446bfe3e-b42f-4821-a20a-2cb07fd07c50","_uuid":"b8d3212c33baad0e847e7a36272feb2ef31c4d5e","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[],"source":["def tuningRandomizedSearchCV(model, param_dist):\n","    #Searching multiple parameters simultaneously\n","    # n_iter controls the number of searches\n","    rand = RandomizedSearchCV(model, param_dist, cv=10, scoring='accuracy', n_iter=10, random_state=5)\n","    rand.fit(X, y)\n","    rand.cv_results_\n","    \n","    # examine the best model\n","    print('Rand. Best Score: ', rand.best_score_)\n","    print('Rand. Best Params: ', rand.best_params_)\n","    \n","    # run RandomizedSearchCV 20 times (with n_iter=10) and record the best score\n","    best_scores = []\n","    for _ in range(20):\n","        rand = RandomizedSearchCV(model, param_dist, cv=10, scoring='accuracy', n_iter=10)\n","        rand.fit(X, y)\n","        best_scores.append(round(rand.best_score_, 3))\n","    print(best_scores)"]},{"cell_type":"markdown","metadata":{"_cell_guid":"70d61d3d-4b78-43cb-bccf-d7588dc61762","_uuid":"695a98ccaa5870275bc2fe91ef9527dbb6833368"},"source":["### **Tuning with searching multiple parameters simultaneously** ###"]},{"cell_type":"code","execution_count":116,"metadata":{"_cell_guid":"114d4734-9647-4f09-b1bd-20c022421011","_uuid":"0f4aad3e3f129aadfda0828345ce6418d46c5cf2","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[],"source":["def tuningMultParam(knn):\n","    \n","    #Searching multiple parameters simultaneously\n","    # define the parameter values that should be searched\n","    k_range = list(range(1, 31))\n","    weight_options = ['uniform', 'distance']\n","        \n","    # create a parameter grid: map the parameter names to the values that should be searched\n","    param_grid = dict(n_neighbors=k_range, weights=weight_options)\n","    print(param_grid) \n","    \n","    # instantiate and fit the grid\n","    grid = GridSearchCV(knn, param_grid, cv=10, scoring='accuracy')\n","    grid.fit(X, y) \n","    \n","    # view the complete results\n","    print(grid.cv_results_)\n","    \n","    # examine the best model\n","    print('Multiparam. Best Score: ', grid.best_score_)\n","    print('Multiparam. Best Params: ', grid.best_params_)"]},{"cell_type":"markdown","metadata":{"_uuid":"2e05b3654a69f79cce46c2f5f007933de7dd91dc"},"source":["<a id='Evaluating_models'></a>\n","## **8. Evaluating models**<br><br>\n","<a id='Logistic_regression'></a>\n","### Logistic Regression"]},{"cell_type":"code","execution_count":117,"metadata":{"_cell_guid":"8613beea-11e3-426b-91f6-39df3626eaf9","_uuid":"89f5e2c8ec51637568ac22982649205ca1c340e2","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[],"source":["def logisticRegression():\n","    # train a logistic regression model on the training set\n","    logreg = LogisticRegression()\n","    logreg.fit(X_train, y_train)\n","    \n","    # make class predictions for the testing set\n","    y_pred_class = logreg.predict(X_test)\n","    \n","    print('########### Logistic Regression ###############')\n","    \n","    accuracy_score = evalClassModel(logreg, y_test, y_pred_class, True)\n","    \n","    #Data for final graph\n","    methodDict['Log. Regres.'] = accuracy_score * 100"]},{"cell_type":"markdown","metadata":{"_cell_guid":"de99d1dd-eb98-478c-9ed0-3cb518eac4b2","_uuid":"1f71d045fa89ece846fe9e44559f057293e8bdf7"},"source":["\n"]},{"cell_type":"code","execution_count":118,"metadata":{"_cell_guid":"2c090f3c-ecc9-433d-84a9-0d8f56cfd75d","_uuid":"dd4c840a2b9a7ed7ad737730c4f780d11d603699","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["########### Logistic Regression ###############\n","Accuracy: 0.7962962962962963\n","Null accuracy:\n"," 0    191\n","1    187\n","Name: treatment, dtype: int64\n","Percentage of ones: 0.4947089947089947\n","Percentage of zeros: 0.5052910052910053\n","True: [0 0 0 0 0 0 0 0 1 1 0 1 1 0 1 1 0 1 0 0 0 1 1 0 0]\n","Pred: [1 0 0 0 1 1 0 1 0 1 0 1 1 0 1 1 1 1 0 0 0 0 1 0 0]\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 2 Axes>"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["Classification Accuracy: 0.7962962962962963\n","Classification Error: 0.20370370370370372\n","False Positive Rate: 0.25654450261780104\n","Precision: 0.7644230769230769\n","AUC Score: 0.7968614385306716\n","Cross-validated AUC: 0.8753623882722146\n","First 10 predicted responses:\n"," [1 0 0 0 1 1 0 1 0 1]\n","First 10 predicted probabilities of class members:\n"," [[0.09193053 0.90806947]\n"," [0.95991564 0.04008436]\n"," [0.96547467 0.03452533]\n"," [0.78757121 0.21242879]\n"," [0.38959922 0.61040078]\n"," [0.05264207 0.94735793]\n"," [0.75035574 0.24964426]\n"," [0.19065116 0.80934884]\n"," [0.61612081 0.38387919]\n"," [0.47699963 0.52300037]]\n","First 10 predicted probabilities:\n"," [[0.90806947]\n"," [0.04008436]\n"," [0.03452533]\n"," [0.21242879]\n"," [0.61040078]\n"," [0.94735793]\n"," [0.24964426]\n"," [0.80934884]\n"," [0.38387919]\n"," [0.52300037]]\n"]},{"data":{"image/png":"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","text/plain":["<Figure 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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["[[142  49]\n"," [ 28 159]]\n"]}],"source":["logisticRegression()"]},{"cell_type":"markdown","metadata":{"_cell_guid":"74295e39-9b93-4601-8305-d1301e5fbd72","_uuid":"8d69bf0ffde7e26e29b7bced3544432bf02ed86f"},"source":["<a id='KNeighborsClassifier'></a>\n","### KNeighbors Classifier"]},{"cell_type":"code","execution_count":119,"metadata":{"_cell_guid":"c45537f3-72fa-47ff-a840-898e5bbed29d","_uuid":"d5a089e0f01dce205366b7a99abbc3a6bb5568cc","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[],"source":["def Knn():\n","    # Calculating the best parameters\n","    knn = KNeighborsClassifier(n_neighbors=5)\n","    \n","    # From https://github.com/justmarkham/scikit-learn-videos/blob/master/08_grid_search.ipynb\n","    #tuningCV(knn)\n","    #tuningGridSerach(knn)\n","    #tuningMultParam(knn)\n","    \n","    # define the parameter values that should be searched\n","    k_range = list(range(1, 31))\n","    weight_options = ['uniform', 'distance']\n","    \n","    # specify \"parameter distributions\" rather than a \"parameter grid\"\n","    param_dist = dict(n_neighbors=k_range, weights=weight_options)\n","    tuningRandomizedSearchCV(knn, param_dist)\n","    \n","    # train a KNeighborsClassifier model on the training set\n","    knn = KNeighborsClassifier(n_neighbors=27, weights='uniform')\n","    knn.fit(X_train, y_train)\n","    \n","    # make class predictions for the testing set\n","    y_pred_class = knn.predict(X_test)\n","    \n","    print('########### KNeighborsClassifier ###############')\n","    \n","    accuracy_score = evalClassModel(knn, y_test, y_pred_class, True)\n","\n","    #Data for final graph\n","    methodDict['KNN'] = accuracy_score * 100\n"]},{"cell_type":"markdown","metadata":{"_cell_guid":"061c6d26-0e65-4f21-8995-f910526f5e8e","_uuid":"ea3e9e3f9d300913aba08ef1027e70025b7b0102"},"source":["KNEIGHBORSCLASSIFIER"]},{"cell_type":"code","execution_count":120,"metadata":{"_cell_guid":"c37a2ccc-f433-44a9-87d5-04e57e14f256","_uuid":"604f548f0674bd6e66941cc967dfc07ce4e0701e","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Rand. Best Score:  0.8217650793650794\n","Rand. Best Params:  {'weights': 'uniform', 'n_neighbors': 27}\n","[0.819, 0.815, 0.822, 0.815, 0.814, 0.822, 0.819, 0.815, 0.814, 0.822, 0.816, 0.819, 0.819, 0.822, 0.822, 0.822, 0.819, 0.805, 0.816, 0.819]\n","########### KNeighborsClassifier ###############\n","Accuracy: 0.8042328042328042\n","Null accuracy:\n"," 0    191\n","1    187\n","Name: treatment, dtype: int64\n","Percentage of ones: 0.4947089947089947\n","Percentage of zeros: 0.5052910052910053\n","True: [0 0 0 0 0 0 0 0 1 1 0 1 1 0 1 1 0 1 0 0 0 1 1 0 0]\n","Pred: [1 0 0 0 1 1 0 1 1 1 0 1 1 0 1 1 1 1 0 0 0 0 1 0 0]\n"]},{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAjAAAAHUCAYAAAAkzBJmAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOzdeVhUZfsH8O+wKZsKuKAgihqgL6CQgVuamiIuiSZibigpuWEquadpWmppamSaZuBWoihiYb3ycyGLNDVRStNAcEEBAZFdBub8/vBlapqBYZmBM/L9XNdc19t5nvOc+9h71d39LEciCIIAIiIiIh2iV98BEBEREVUXExgiIiLSOUxgiIiISOcwgSEiIiKdwwSGiIiIdA4TGCIiItI5TGCIiIhI5zCBISIiIp3DBIaIiIh0DhMYapCSk5Px0UcfYcSIEejevTtcXV3h7e2NDz/8EOnp6XUeT0pKCvz9/eHm5gZ3d3d89tlnWntWSEgIHB0dcfjwYa09oyoGDBgAR0dHODo64uLFi5X2DQsLk/c9evRorZ578uRJ/Pnnn1Xqe+HCBTg6OuKdd96p1TOJSPOYwFCDs3v3bowYMQJhYWFo2bIlRo0aBV9fX5iYmGDPnj0YOnQorly5UqcxLVq0COfPn8dLL72ECRMmwMPDQ2vP8vDwwJw5c9ClSxetPaO6fvjhh0rbo6OjNfKcjRs3IigoCNnZ2VXqb2Njgzlz5mDw4MEaeT4RaY5BfQdAVJfCwsLw0UcfwcHBASEhIWjfvr1Ce2RkJJYtW4Zp06YhKioKtra2dRLX9evXYW5uju3bt0NfX1+rz/L09ISnp6dWn1EdLVq0wH//+18sX74cenrK/0117949XLt2DaampigoKKjVszIzM6vV39bWFkFBQbV6JhFpBysw1GDcu3cPGzduRJMmTbBnzx6l5AUARo0ahcmTJyM/Px+7d++us9ikUimaNGmi9eRFjIYMGYJHjx7h8uXLKttPnDgBABg4cGBdhkVEIscEhhqMY8eOQSqVYsKECbC0tKywX0BAAIKDgzFq1CiF68XFxfjss88wdOhQuLi4oHv37pgyZQpiY2OVxnB0dMSsWbNw8+ZNzJgxA927d0e3bt0wceJE/PLLL/J+S5YsgaOjIwAgNTUVjo6OGDBggEJbXFyc0viTJk2Co6Mj7ty5I7/2+PFjrF69GkOGDIGrqys8PT0xbdo0pfsrWgPz4MEDrFy5Ev369YOzszN69+6N4OBgJCYmKvQrXxcSFhaGmJgY+Pr6omvXrvDw8MC8efNw9+7dCv9sVfH29gYAfP/99yrbo6Oj4erqCjs7O5Xtd+7cwcqVKzFo0CC4urqia9euGDp0KLZs2YLi4mJ5P0dHR0RGRgIApk6dKv9zL3+fnTt3YvXq1XBzc4OHhwf279+vtAYmPj4eXbp0wYsvvoi0tDSFOD788EM4Ojpi6dKl1Xp/IqoZJjDUYJw9exYA0K9fv0r7tWrVCoGBgXB1dZVfy8vLw7hx4xASEgJ9fX34+fmhf//+SEhIQGBgIHbs2KE0TkpKCsaNG4esrCz4+vqib9++uHTpEqZNm4Zbt24BAF599VXMmTMHAGBubo45c+Zg8uTJ1X63kpISTJs2DeHh4XjhhRfg7++PAQMG4PLly3jzzTfx448/Vnr/jRs34OPjg/DwcNjb22PixIlwcXFBdHQ0xowZozKJ+u677xAUFITmzZtj4sSJ6NChA77//ntMnjwZUqm0yrF37doVNjY2OHnyJGQymUJbUlISbt68iWHDhqm8988//8To0aMRFRUFV1dX+Pv7Y/jw4cjKysL27duxaNEied85c+bAyckJADBy5Ej5n3u5PXv2ICYmBuPGjYOHhwe6deum9Lxu3bph+vTpyM/Px6pVq+TX4+LisHfvXrRv3x7vvvtuld+diGpBIGogevXqJTg4OAg5OTnVvnflypWCg4ODsGLFCkEqlcqv3717V+jbt6/g6OgoxMfHy687ODgIDg4Owvr16xXGCQkJERwcHIRVq1YpXHdwcBD69++vcG3x4sWCg4OD8PPPPyvFM3HiRMHBwUFISUkRBEEQTp8+LTg4OAibN29W6Hfx4kXBwcFBCAgIkF/79NNPBQcHB+HQoUOCIAhCWVmZMGzYMMHBwUGIjIxUuD82NlZwcnISevToIRQUFAiCIAjnz5+Xv9+pU6fkfWUymeDv7y84ODgIJ06cqOBP8m/9+/cXHBwcBKlUKmzYsEFwcHAQLly4oNBn69atgpOTk5CWliaP+8iRI/L2t956S3BwcBB+/fVXhfsyMzMFd3d3wcnJScjLy6v0z7T8fZycnITExESFccrbgoOD5ddKSkqEUaNGyd8zJydHePnll4X//Oc/QkJCgtr3JiLNYAWGGownT54AAExMTKp1X0lJCY4fP44mTZpg+fLlMDD4e+1727ZtMW/ePAiCgPDwcKV7AwMDFf66fHqoutMs6giCAOBZJaWwsFB+vXv37jh58iS2b99e4b3x8fH466+/8PLLL8PHx0ehrW/fvvDx8UF2djZOnjyp0Obg4CB/HwCQSCR45ZVXAFT//YYOHQpAeTdSdHQ0XnrpJbRq1UrlfZMmTcKGDRvw0ksvKVy3srLCCy+8AJlMhpycnCrF4ODggI4dO6rtZ2hoiI8++giNGjXChx9+iHfffRfp6emYP38+nJ2dq/QsIqo9JjDUYFhYWAAAcnNzq3VfSkoKCgsL4erqikaNGim1d+/eHcCz5OGfmjVrJn9mOXNzcwDPkiJN6tWrF9q3b4+zZ8+id+/emDFjBvbu3Yvk5GS0a9cORkZGFd57/fp1AKhw63ZF72dvb6/Ut/z9qjOFBADOzs6ws7NTmEb6448/kJKSguHDh1d4X+/eveHj44OcnBxcuHABhw8fxqZNmxAQEIDff/8dAJSmpSrStm3bKsfbqVMnzJ8/HxkZGTh58iR69+6NgICAKt9PRLXHBIYajPJFoCkpKWr7JiUlyf/Fl5eXB+Dvfzn/W3l14J+VDwAqkx2JRFLleKujcePGCA8Px5tvvgkLCwucOXMGH3zwAYYMGYLRo0fj2rVrFd5b/n5mZmYq28vfr6ioSOG6qqSo/P3KK0LV4e3tjUePHuHSpUsAnlVfDA0NKz2DJSMjAwsWLEDv3r0xefJkvPvuu4iKikKTJk3kcVc1lsaNG1cr3sGDB8t3jbm7u2vt7y0RqcYEhhqM8sW7586dq7TfgwcPMGzYMPTu3RtFRUXyf7FXdEJveUXn39WW2ir/F6KqCsK/kyXgWcVn0aJFOH36NE6ePIlVq1ahZ8+e+OOPPzBt2jTk5+erfE5V369Zs2Y1eo+q+vc00g8//IA+ffpU+FxBEBAYGIjo6Gj4+fnh66+/xq+//ooff/wRW7ZsgZWVldZiFQQBy5YtQ1lZGZo1a4YdO3ZU+XRfItIMJjDUYIwYMQLGxsY4cOBApSexhoaGQhAEdO/eHcbGxujQoQOMjY1x69YtldNPFy5cAPBsDYUmGRoaAoDS4W0ymQz37t1TuHbu3DmsXbtWvq26Xbt2eOONNxAWFgZPT088efJEvvPp38pP5C2vfPzb+fPnAWj+/f7NyckJ9vb2OHnyJK5cuYLU1NQKdx8BwM2bN3Hjxg289NJLWLlyJV588UU0bdoUwLMprPJK2z8rMJqqkuzduxfnz5/HsGHDsGXLFkilUixcuFDjU4NEVDEmMNRgtG7dGjNnzkRubi78/f2VFprKZDKEhYVh7969MDExwfz58wE8SyRee+015OfnY926dSgtLZXfc//+fWzevBkSiURpAWxtdejQAQBw5swZhet79uyRL0gu9+DBA+zbtw+7du1SuP706VM8evQIenp6sLGxUfkcNzc3dOzYEZcuXUJERIRCW1xcHI4ePYpmzZqhf//+tX0ltYYOHYpHjx5hw4YNMDY2Vlgk/G/lU3RPnjxR+HtSVlaGdevWyf+M/tlWvgC7umt0/ikpKQmffPIJLCws8O6776Jnz57w9fXFrVu3sGXLlhqPS0TVw08JUIMSGBiIJ0+eYPfu3RgyZAh69+6NTp06IS8vD5cvX8bt27dhZmaGrVu3yhMIAFi4cCGuXLmCo0eP4vfff4enpydyc3Nx+vRp5OXl4e2334a7u7tGYx05ciRCQkIQGRmJzMxMODk54Y8//sClS5fg5uam8L2m1157DeHh4Th8+DBu3ryJ7t27QyqV4scff8SdO3cQEBBQ4U4ePT09fPzxx5gyZQqWL1+O7777Dp07d0ZKSgrOnj2LRo0aYdOmTTA1NdXo+6kydOhQbNu2DVeuXMHQoUMrfWb79u3h7u6O3377DWPGjEHPnj0hlUpx7tw5pKSkwMrKCllZWQq7kFq3bg0A+PTTT3Hp0iXMnj27WvGVlpZi0aJFKC4uxgcffCA/EHHx4sWIjY1FaGgoBgwYIF/4TETawwoMNSgSiQSLFi1CeHg4RowYgfv37yM8PBzHjx+HRCJBQEAATpw4gT59+ijcZ25ujoMHD2L27NkoLS3FwYMHERsbCzc3N3z11VeYNWuWxmO1sLDAgQMH8Morr+C3337DgQMHAAD79++Hm5ubQl9jY2N89dVXmDFjBgoLC3Hw4EEcOXIElpaWWL9+vcKBbqr85z//wdGjRzFmzBjcvn0b+/btw/Xr1+Hj44OjR48q/XloS6dOneRTVZVNHwHP/l5u27YNb7zxBnJzc7F//36cOnUKbdu2xc6dO7F48WIAihWs8ePHo2/fvkhMTMQ333yD+/fvVyu+7du34/fff0f//v0VdkeZm5vjvffeg0wmw+LFiytcb0REmiMRarJdgIiIiKgesQJDREREOocJDBEREekcJjBERESkc5jAEBERkc5hAkNEREQ6hwkMERER6RwmMERERKRzeBLv/xSGaP4gMiJdN2dTRn2HQCRKX6VEqO9UC9LM2xoby7B5B/WddBArMERERKRzWIEhIiISG1lZfUcgekxgiIiIxEaQ1XcEoscEhoiISGxkTGDU4RoYIiIi0jmswBAREYmMwCkktZjAEBERiQ2nkNTiFBIRERHpHFZgiIiIxIZTSGoxgSEiIhIbngOjFqeQiIiISOewAkNERCQ2nEJSiwkMERGR2HAXklqcQiIiIiKdwwSGiIhIZARBprGfpsTHx6Nz586Ij49Xart37x6Cg4PRo0cPuLm5YezYsTh16pRSP6lUih07dmDw4MFwdXWFt7c39u/fD0EQqh0Pp5CIiIjERmRTSHfv3kVQUBBkKuK6c+cOxo0bB5lMhkmTJqFJkyY4fPgwZs2aha1bt2LIkCHyvitWrEBkZCR8fHzg7u6O2NhYrFmzBo8ePcL8+fOrFRMTGCIiIrER0SLeM2fOYMmSJcjJyVHZ/v7776OgoAARERFwcHAAAIwZMwZeXl7YvHmzPIGJj49HZGQkAgICsHjxYgCAn58f5s2bh927d8PX1xe2trZVjotTSERERKRScHAwZsyYAUtLSwwbNkypPTU1FT///DN8fX3lyQsAmJiYYMmSJRg5ciRKSkoAAMeOHQMA+Pv7K4wREBAAqVSKEydOVCs2VmCIiIjERiQH2SUmJiIoKAjTp0/Hzp07ldovXrwIQRDQt29fAIAgCCgsLISpqalSwnP16lW0atUK1tbWCte7dOkCfX19XL16tVqxMYEhIiISG5FMIR0+fBhGRkYVticnJwMAmjVrhlWrVuH48eMoKChAy5YtMWvWLLzxxhvyvmlpabCzs1Maw8DAAJaWlkhNTa1WbExgiIiInmMDBw6stF3VbqFylSUvAPDkyRMAwOLFi2FiYoIVK1ZAT08PX3/9NVatWoWCggJMmzYNAJCXlwdjY2OV4xgbG6OoqKjSZ/0bExgiIiKxEdkupIpIpVIAz6aODh48KE94hg4dihEjRuCzzz7D2LFj0aRJEwCARCJROY4gCBW2VYQJDBERkdhocAqpsgpLbZVXVF5//XWFao2hoSFGjx6NTZs24cqVK+jXrx9MTEwqrLIUFxejdevW1Xo2dyERERFRjZQvyG3evLlSm5WVFQAgPz8fAGBra4uMjAylfqWlpcjOzmYCQ0REpPNkMs39tMjV1RUA8Ndffym13b17FwDkZ7s4OzsjNTUVWVlZCv2uX7+OsrIy+VhVxQSGiIhIZAShTGM/berevTtsbW1x5MgRpKWlya/n5OTg8OHDsLGxgYuLCwDIt1WHhoYqjBEaGgpDQ0OV58xUhmtgiIiIqEb09PTwwQcfIDAwEGPHjsXEiRNhYGCAb775Bk+ePMGGDRugp/esVuLp6QkvLy/s2rULWVlZ8k8JxMTEICgoqNpTSExgiIiIxEYk58BURY8ePfDNN98gJCQEX3zxBQRBgIuLC9atW4fu3bsr9N24cSPs7e0RFRWF6OhotG3bFu+99x7Gjx9f7edKhJp8AvI5VBgyq75DIBKdOZuUF9wREfBVSoRWxy/+7bjGxmrs/prGxhITVmCIiIjERocqMPWFi3iJiIhI57ACQ0REJDYi+ZijmDGBISIiEhtOIanFKSQiIiLSOazAEBERiY2OfMyxPjGBISIiEhtOIanFKSQiIiLSOazAEBERiQ2nkNRiAkNERCQ2TGDU4hQSERER6RxWYIiIiERGEHiQnTpMYIiIiMSGU0hqMYEhIiISG26jVotrYIiIiEjnsAJDREQkNpxCUosJDBERkdhwCkktTiERERGRzmEFhoiISGw4haQWExgiIiKx4RSSWpxCIiIiIp3DCgwREZHYcApJLSYwREREYsMERi1OIREREZHOYQWGiIhIbLiIVy0mMERERGLDKSS1mMAQERGJDSswanENDBEREekcVmCIiIjEhlNIajGBISIiEhtOIanFKSQiIiLSOazAEBERiQ2nkNRiAkNERCQ2TGDU4hQSERER6RwmMERERGIjCJr7aUh8fDw6d+6M+Pj4Svv98ssvcHJyQkhIiFKbVCrFjh07MHjwYLi6usLb2xv79++HUIM4OYVEREQkNiKbQrp79y6CgoIgUxNXbm4ulixZUmFCsmLFCkRGRsLHxwfu7u6IjY3FmjVr8OjRI8yfP79aMbECQ0RERBU6c+YMfH19kZGRobbv6tWrkZ2drbItPj4ekZGRCAgIwIYNG+Dn54fPP/8c3t7e2L17N+7fv1+tuJjAEBERiY1MprlfLQQHB2PGjBmwtLTEsGHDKu0bHR2N6OhoBAUFqWw/duwYAMDf31/hekBAAKRSKU6cOFGt2JjAEBERiY0g09yvFhITExEUFIRjx47B3t6+wn5paWlYvXo1/P394eHhobLP1atX0apVK1hbWytc79KlC/T19XH16tVqxcY1MERERGIjkjUwhw8fhpGRUaV9BEHAkiVL0Lx5cyxYsAA3btxQ2S8tLQ12dnZK1w0MDGBpaYnU1NRqxcYEhoiI6Dk2cODASttPnTpVYZu65AUA9uzZg4sXLyI8PByNGjWqsF9eXh6MjY1VthkbG6OoqEjts/6JCQwREZHYaHD7szYlJibik08+wcyZM+Hs7Ky2v0QiUXldEIQK2yrCBIaIiEhsNDiFVFmFpTakUikWLlwIOzs7+Pn5yXcf5eXlAQCKioqQnZ0NMzMzGBkZwcTEpMIqS3FxMVq3bl2t5zOBISIiompLT0/H9evXAQB9+vRRat+9ezd2796NdevWYfTo0bC1tVW5Fbu0tBTZ2dlwd3ev1vOZwBAREYmNSBbxVqZFixYIDQ1Vup6UlIS1a9di5MiR8PHxQadOnQAAzs7OCA8PR1ZWFqysrOT9r1+/jrKyMri6ulbr+UxgiIiIxKaW25/rQqNGjdCrVy+l6yYmJgCAtm3bKrQPGzYM4eHhCA0NxTvvvCO/HhoaCkNDQ7XnzPwbExgiIiLSOk9PT3h5eWHXrl3IysqSf0ogJiYGQUFBXANDRESk6wSZbuxCqq6NGzfC3t4eUVFRiI6ORtu2bfHee+9h/Pjx1R5LItTkE5DPocKQWfUdApHozNmk/tsnRA3RVykRWh2/cMfbGhvLZMZWjY0lJvyUABEREekcTiERERGJjQ4s4q1vTGCIiIjE5jldA6NJTGCIiIjERgfOgalvXANDREREOocVGCIiIrFhBUYtJjBUp9LyiuH7zQVsHuqK7rYW8utnbj/CrovJSH5cgGbGRnjNqTWmdW8PQ/2/i4Rb4xIR9tsdpTGDenZEwIvt6yJ8Iq0yamyEz//YBz19fYXr0qcleMvx2TkZzVpZwnfpJLj06wZ9A30kX03EoXX7cPeP5PoImbSFJ5yoxQSG6syD3CLMPh6P/JJShevnUjIRfOIaXuvcGnN7dULK4wKE/JKEzIKnWDGgs7zfrcw8eNhaYHaPjgr3W5s1rpP4ibTNtnM76OnrY0fQZmTe//sMnvJDzRqbNsaSQ++jVFqKPcu+QOlTKUbMHYPgfSuw0msBnjzKqa/QieocExjSOpkg4NsbD7H5579UtodeToFzqyZYNbALAKBHW0vkFEmx+3IK3nnZAcaGz/5r9GZmPnydbeBq3bTOYieqS3Zd7CF9KsXl78+jrLRMqX3Qm8NhZmGO5QPflicryQlJeO/bDXDq+R9cOP5zXYdM2sIpJLWYwJDW/ZWZjw9jb8LX2QaebS0x97urCu2rX+2Csn9tGTTU10OZTECpTAZAH1mFT5FVWAKH5uZ1GDlR3WrbpT0eJN5XmbwAQHfvHrj8/XmFSkvuoxwE93irrkKkusJt1GqJMoG5du0arl69itTUVBQWFkJPTw/m5uawtrZG165d4ezsXN8hUjVYmzfG8Uk90cqsMS7df6zU3rapifx/5z0txYV72dh75Q6GOlrDvJEhAODPR/kAgNjkR/jo3C1kFjxFR0tTzOnZEX3aNa+bFyHSMrsu7SHIZAjetwKdXnSEtESKSyd+waEP9kL6VIrWnWzxS+SPGLVgHF4eNxBmFuZI+u0m9q/cjdSbd+s7fKI6JaoEJi4uDu+//z7u3LmDij7RJJFI0KlTJyxfvhw9evSo4wipJpo2NkRTGKrtl5FfDK+wZyVwmyaN8ZaHvbztZmYeACC7sATv9XdCSZmAg9fu4e3vriJkeDf0amelneCJ6ohEIoGtox1kZTIc3rAf34ZEwN61E1572xdtOrXFtpkfw8DQAIPfHI5Hd9MRtng7DIwM4bPAD4sPrsbKIcHISc+u79cgTeFJvGqJJoGJi4vDtGnTYGtri+DgYLi4uKBly5YwMTGBIAgoKipCRkYGrl27hkOHDmHatGkIDQ3FSy+9VN+hk4YYG+rjCx835D8txe7LKZhw6CJCX38RHS3NMOSFVnBoboZedlbQk0gAAD3tLOF38AK2/3qbCQzpPokEWwLW4cmjx0hLegAAuPXrDTx5lIPArW/DuW83eddP/D/A08JiAEBKQhLWnQnBQP8hOPLR1/USOmkBp5DUEk0CExISAkdHRxw4cAAmJiYq+9jb28PT0xPjx4/HhAkTsHXrVuzfv7+OIyVtMW9kCA9bSwBAdxsLDNsbhwPx97ByQGe0aWKMNk2MFfob6uuhp50VjvyeWh/hEmmUIJPh5vk/lK5fPXMZANDCrhUA4M/zf8iTFwDIfpCJh0n3YdfFXuleoueZaE7i/fPPPzF27NgKk5d/MjU1hZ+fH27cuFEHkZE2lcpk+O9f6fjzUZ7C9SaNDdG2qTHS85/9g/pcSiZOJWUo3f+0tAxNG6ufniISu2atLNF33KuwsLZUuG7UyAgA8DgtG08e5cDASPn/7/oGBigpLqmTOKluCDKZxn7PK9EkMObm5khPT69y/0ePHsHAQDQFJKohAz09bIlLxNa4RIXrD/OKkfy4QL7r6L9/pWPVqevILZbK+xRJy3AuJQvdbSxApOsMjQwwZf0M9HtjkMJ1jxG9ISsrw18XbyAh9gq69HaBmcXfu/GsO7SBdYc2uHWR/0H3XJEJmvs9p0STAbz88svYs2cP3Nzc0K9fv0r7/vTTTwgLC8Orr75aR9GRNs14yR6rTt/A+6dvYPALrfCo4Cl2XUxG08aGmNTNDgAwxb0dTiVlYM638Qjo3h5lMgFhv91BobQMMzxZOifd9+heBuKOxMJ7hg9KS6RIuvIXXnjJCcNmjcbpff9F2u0H+HbrYbgP9kDwvhU4/ulh6BsY4PWF45H9MBPnDv5ffb8CaRIX8aolmgRmwYIFuHbtGmbMmAE7Ozt07doVrVu3hrGxMSQSCYqKipCeno7ff/8diYmJsLW1xTvvvFPfYZMGjOzSBiZG+gi9fAff30pDYwN99G5nhbk9O8LS5Fn5vJOVGb4c9SK2nU/Cqv+7DqlMgHubZgh9/UWFbdhEuixs2Q6kpzxEr9dfwYi5Y/A4LRtRW8Lx/RfHATxLcj4cvRxjlkzE9E/mQiaT4Y9z13BwTSiKC4rVjE70fJEIFe1XrgeFhYXYt28fjh8/jtu3b6vcSt2+fXsMHz4cU6dOhampqeaeHTJLY2MRPS/mbFJed0REwFcpEVodv+D9CRoby3TlAY2NJSaiqcAAgImJCd566y289dZbyM/PR3p6OvLy8iCTyWBqagobGxuYmZnVd5hERETa9RwvvtUUUSUw/2RmZsZkhYiIiFQSbQJDRETUYD3Hu4c0hQkMERGR2HAXklqiOQeGiIiIqKpYgSEiIhIbTiGpxQSGiIhIZJ7nTwBoCqeQiIiISOewAkNERCQ2nEJSiwkMERGR2DCBUYsJDBERkdhwG7VaXANDREREOocVGCIiIrHhFJJaTGCIiIhERmACoxankIiIiEjnMIEhIiISG5mguZ+GxMfHo3PnzoiPj1dqi4iIwOjRo+Hq6go3NzeMHz8esbGxSv2kUil27NiBwYMHw9XVFd7e3ti/fz8EofpxMoEhIiISG5lMcz8NuHv3LoKCgiBTMd7OnTuxfPlyNGrUCMHBwZg9ezaysrLw1ltv4dixYwp9V6xYgc2bN8PNzQ3Lly+Hvb091qxZgy1btlQ7Jq6BISIiogqdOXMGS5YsQU5OjlJbZmYmPv30U3h6eiIsLAx6es/qIuPGjcNrr72G9evXY/jw4TAwMEB8fDwiIyMREBCAxYsXAwD8/Pwwb9487N69G76+vrC1ta1yXKzAEOa9TQwAACAASURBVBERiY1IppCCg4MxY8YMWFpaYtiwYUrtv/76K6RSKV5//XV58gIAZmZmGDhwIB4/fozbt28DgLwa4+/vrzBGQEAApFIpTpw4Ua3YmMAQERGJjUgSmMTERAQFBeHYsWOwt7dXau/fvz++/fZb9O/fX6ktOzsbAKCvrw8AuHr1Klq1agVra2uFfl26dIG+vj6uXr1ardg4hUREREQqHT58GEZGRhW2Gxsbw8HBQen6gwcPEBMTg5YtW8oTn7S0NNjZ2Sn1NTAwgKWlJVJTU6sVGxMYIiIikanJrpyKDBw4sNL2U6dOVdhWWfJSkaKiIsyfPx9Pnz7F3Llz5VNLeXl5MDY2VnmPsbExioqKqvUcJjBERERio6MH2eXn52PmzJmIj4/HiBEj4Ovrq9AukUhU3icIQoVtFWECQ0REJDYaTGAqq7BoUnp6Ot566y3cuHEDXl5eWLdunUK7iYlJhVWW4uJitG7dulrP4yJeIiIiqpXExET4+fnhxo0b8PX1xebNm2FoaKjQx9bWFhkZGUr3lpaWIjs7mwkMERGRrhNkgsZ+2paUlIRJkybh4cOHmDNnDtauXSvfefRPzs7OSE1NRVZWlsL169evo6ysDK6urtV6LhMYIiIisRHJNmp1ioqKMHv2bGRnZ2Pp0qUICgqqsG/5OTKhoaEK10NDQ2FoaKjynJnKcA0MERER1cjBgweRnJyMdu3awcLCAlFRUUp9Xn75ZVhaWsLT0xNeXl7YtWsXsrKy4O7ujtjYWMTExCAoKKjaU0hMYIiIiMRGM58w0rq4uDgAwJ07d7Bo0SKVfcLDw2FpaQkA2LhxI+zt7REVFYXo6Gi0bdsW7733HsaPH1/tZ0sETW4212GFIbPqOwQi0ZmzSXnBHREBX6VEaHX8nAkDNDZWswOnNTaWmHANDBEREekcTiERERGJjY4eZFeXmMAQERGJjY6sgalPnEIiIiIincMKDBERkcjUxQF0uo4JDBERkdhwCkktJjBEREQiwwqMelwDQ0RERDqHFRgiIiKx4RSSWkxgiIiIREZgAqMWp5CIiIhI57ACQ0REJDaswKjFBIaIiEhkOIWkHqeQiIiISOewAkNERCQ2rMCoxQSGiIhIZDiFpB6nkIiIiEjnsAJDREQkMqzAqMcEhoiISGSYwKjHBIaIiEhsBEl9RyB6XANDREREOocVGCIiIpHhFJJ6TGCIiIhERpBxCkkdTiERERGRzmEFhoiISGQ4haQeExgiIiKREbgLSS1OIREREZHOYQWGiIhIZDiFpB4TGCIiIpHhLiT1OIVEREREOqdKFZhFixbVaHCJRIINGzbU6F4iIqKGShDqOwLxq1ICc/z48RoNzgSGiIio+jiFpF6VEpi9e/dqOw4iIiL6HyYw6lUpgfHw8NB2HERERERVprVFvDKZDOfOndPW8ERERM8tQdDcT1Pi4+PRuXNnxMfHK7WdP38eEyZMgLu7O3r06IGlS5ciKytLqZ9UKsWOHTswePBguLq6wtvbG/v374dQg0BrvI36wIEDOHbsGLKzsyGTyeQPFwQBpaWlyMvLg1QqxY0bN2r6CCIiogZJbFNId+/eRVBQEGQy5QNq4uLiMH36dHTq1Alz587FkydPEBYWhvj4eERERMDU1FTed8WKFYiMjISPjw/c3d0RGxuLNWvW4NGjR5g/f361YqpRAnP06FGsWbOm0j5mZmZ47bXXajI8ERERicSZM2ewZMkS5OTkKLUJgoA1a9bA2toaBw4cgJmZGQCgW7duCAwMxN69ezFz5kwAzyo4kZGRCAgIwOLFiwEAfn5+mDdvHnbv3g1fX1/Y2tpWOa4aTSEdOnQIhoaG+PLLL3Ht2jW4uLhg3LhxuHbtGiIiItCtWzeUlpZi6tSpNRmeiIioQRMEicZ+tREcHIwZM2bA0tISw4YNU2pPSEjA7du3MWbMGHnyAgD9+vVDx44dERUVJb927NgxAIC/v7/CGAEBAZBKpThx4kS1YqtRApOYmIiBAweiT58+MDIyQteuXXHx4kUYGRnB2dkZX3zxBRo3boxdu3bVZHgiIqIGTZBp7lcbiYmJCAoKwrFjx2Bvb6/UXr4epmvXrkptLi4uSE5ORl5eHgDg6tWraNWqFaytrRX6denSBfr6+rh69Wq1YqtRAlNcXAw7Ozv5X9vb2yMlJQUlJSUAgKZNm2LAgAHVDoaIiIjE4/Dhw5gzZw4aNWqksj0tLQ0AlJISAGjZsiUAIDU1Vd63devWSv0MDAxgaWkp71dVNVoDY2FhgdzcXPlf29raQiaTITk5GY6OjgCA5s2by1+MiIiIqk5Wy6mffxo4cGCl7adOnaqwzcjIqNJ78/PzAQAmJiZKbcbGxgCAwsJCAEBeXp78mqq+RUVFlT7r32pUgenatStOnTolX9DzwgsvQBAEnD9/Xt7n5s2bCiuPiYiIqGrEsgZGnfJdSRKJ8nPKdyfr6f2daqjqV963oraK1KgCM3HiRJw6dQojRozAhg0b0KtXL7i5uWHLli3Iy8tDZmYmfvzxR/Tv378mwxMREZGGVFZhqa3yQoWq6klxcTEAwNzcHMCzKk1FVZbi4mKV00uVqVEFpkePHlizZg1KSkrk5aPyDz5u27YNBw8eRNOmTau9p5uIiIienQOjqZ82lW97Tk9PV2rLyMiARCJBq1at5H0zMjKU+pWWliI7O7vaCUyND7IbM2YMfHx8UFZWBgBwc3PD999/j5MnT6Jx48bo378/WrRoUdPhiYiIGixd+Rq1s7MzgGfbqT09PRXaEhIS0LFjR/n2amdnZ4SHhyMrKwtWVlbyftevX0dZWRlcXV2r9exafUrAwMBAYWWytbU1Jk+ejLFjxzJ5ISIiqiFdqcB069YNtra2CA8PR0FBgfx6bGwskpKSMHLkSPm18nNkQkNDFcYIDQ2FoaGhynNmKlOjCswvv/xS5b49e/asySOIiIhI5CQSCZYvX47Zs2dj/Pjx8PPzQ2ZmJkJDQ+Hg4IAJEybI+3p6esLLywu7du1CVlaW/FMCMTExCAoKqpsppKlTp1Z5tTC/hURERFQ9mtxGrW0DBgzA9u3bsW3bNqxfvx5NmjSBt7c3FixYoLQbeePGjbC3t0dUVBSio6PRtm1bvPfeexg/fny1nysRavAJyCVLlqhMYAoLC3Hnzh38+eef8PDwgJeXl0L2JWaFIbPqOwQi0ZmzSXnBHREBX6VEaHX8BPsRGhvLJflbjY0lJjWqwKxfv77S9pMnT2LBggWYPn16jYIiIiIiqkytFvFWZPDgwejXrx8+//xzbQxPRET0XBMEzf2eVzXeRq1Ohw4dEBcXp63hiYiInlu6tAamvmilAgMAly5dqvDjT0RERES1UaMKTESE6sVLgiCgoKAAZ8+eRXx8PIYOHVqr4IiIiBoibX/D6HlQowTm3XffrXQbtSAIaNOmDYKDg2scGBERUUP1PK9d0ZQaJTCzZ8+uMIExMjJChw4d8Morr8DAQGtLbIiIiKgBq9E5MM8jAyOb+g6BSHSKHpyr7xCIRMmweQetjn/J1kdjY3W/f0xjY4lJjRbxTp48GceOVf4HsnfvXnh5edUoKCIiooZMECQa+z2vqjTHIwgCygs1giDg119/hYeHB2Qymcr+paWluHTpEh4+fKi5SImIiBoIbqNWr0oJzJdffolPPvlE4dq2bduwbdu2Su9zdHSseWREREREFahSAjNlyhTExMQgMzMTAPDw4UOYmZnB3Nxcqa9EIoGBgQHatGmDd955R7PREhERNQBcnKpelRIYQ0NDHDp0SP7XTk5O8Pf3x5w5c7QWGBERUUPFKST1arTPee/evbCxUb1r5+nTpzyBl4iIiLSqRruQPDw8UFJSgrfffhtHjhxRaOvbty+CgoKQnp6ukQCJiIgaGu5CUq9GFZiUlBSMGzcOubm56NSpk/x6UVERrK2tERMTg/j4eISHh6NNmzYaC5aIiKghUL3Hl/6pRhWYkJAQFBQUYMuWLQgKCpJfNzY2RlRUFD777DNkZ2dj69atGguUiIiIqFyNKjC//fYbvLy8Kjyo7tVXX8Wrr76Kc+d4iicREVF1CXh+p340pUYJzOPHj9GiRYtK+7Rp0wZ5eXk1CoqIiKghk3EftVo1SmBat26Ny5cvV9onPj4e1tbWNQqKiIioIZOxAqNWjdbAeHl54ffff8fmzZuVPicgCAI+++wzxMfHY9CgQRoJkoiIiOifavQ16oKCArz++uu4c+cOLCws4OLiAjMzM+Tn5+OPP/5AVlYW7OzscPjwYTRp0kQbcWscv0ZNpIxfoyZSTdtfoz7Vyk9jYw1MD9fYWGJSoykkU1NThIeHY9OmTThx4gRiY2PlbUZGRvDx8cHChQt1JnkhIiISE26jVq9GFZh/kkqluHfvHnJycmBqagp7e3sYGhrizJkzOHjwIHbu3KmpWLWKFRgiZazAEKmm7QpMjAYrMINYgVHN0NAQHTo8+xuZkZGBXbt2ISIiAmlpabUOjoiIqCHiNmr1ap3AAMDPP/+MgwcP4syZMygrK4MgCGjevDlef/11TQxPRETUoHAKSb0aJzCPHz/GkSNHcOjQIdy7dw8AIJFI0LdvX/j6+qJ///7Q19fXWKBERERE5aqdwFy6dAnffPMNYmJiIJVKIQgC2rVrh7t378LX1xerV6/WRpxEREQNBisw6lUpgcnPz0dkZCTCw8ORlJQEQRDQpEkT+Pj4YNSoUXBzc4OTkxMkEs7ZERER1RbXwKhXpQTm5ZdfRnFxMYyMjPDqq69i2LBhGDBgAIyMjLQdHxEREZGSKiUwRUVFMDExwZQpUzB48GA4OTlpOy4iIqIGS8YCjFpV+pRAUFAQrKys8Pnnn2PUqFHo168fPv74Y9y8eVPb8RERETU4Mkg09nteVSmBmT17NmJiYhAWFobhw4cjNzcXu3fvho+PD3x8fLB7925tx0lERNRgCBr8Pa+qtQupR48e6NGjB/Lz8/Hdd9/hyJEjSEhIwM2bNyGRSHDhwgV8++23GDx4MBo1aqStmImIiKiBq/WnBJKSkhAREYFvv/0WmZmZkEgkMDExgbe3N3x8fNC9e3dNxapV/JQAkTJ+SoBINW1/SuCo9XiNjTU67eta3Z+SkoJPPvkE58+fR1FREezt7TF16lSMGjVKod/58+cREhKCGzduwMjICP3798c777wDKyurWj2/IrVOYMqVlZXhzJkziIiIwE8//YTS0lLo6enh+vXrmhhe65jAECljAkOkmrYTmIjWEzQ21piHB2p878OHDzFq1CgUFRVh0qRJaN26Nb799ltcuXIFCxcuxLRp0wAAcXFxmD59Ojp16oRRo0bhyZMnCAsLg7W1NSIiImBqaqqp15HTWALzT1lZWTh69CiOHTuG6OhoTQ+vFUxgiJQxgSFSraEkMBs2bMBXX32FLVu2wNvbG8CzjziPGjUK9+/fxy+//ILGjRtj6NChKCkpQVRUFMzMzAAAsbGxCAwMxLx58zBz5kyNvMs/VWkRb3VZWVlh+vTpOpO8EBERiYlYFvGmpKQAAPr16ye/ZmhoiD59+qCoqAgpKSlISEjA7du3MWbMGHnyUn5Px44dERUVVcsoVNNKAkNEREQ1J9PgrzY6dHhWaUpKSlK4fufOHUgkEjRv3hzx8fEAgK5duyrd7+LiguTkZOTl5dUyEmUa+Ro1ERERidPAgQMrbT916lSFbQEBATh79iyWLl2KlStXonXr1oiOjsbp06fh5+eHFi1aIC0tDQBgbW2tdH/Lli0BAKmpqRo/BJcJDBERkciI5SReKysrzJkzB8uWLcOkSZPk1wcPHoyVK1cCePa9RAAwMTFRut/Y2BgAUFhYqPHYmMAQERGJjCZP0K2swqLOzp07sWnTJnTs2BFTpkxB06ZN8dNPP+Hw4cOYPXs2QkJCIJM9m6hS9UHn8n1CenqaX7HCBIaIiIiU5OfnY9u2bbCxscGhQ4fkC3S9vLxgZ2eHjRs34vDhw/It0kVFRUpjFBcXAwDMzc01Hh8X8RIREYmMGHYhJScno7i4GF5eXgq7iwDAz88PAPDLL7/A1tYWAJCenq40RkZGBiQSCVq1alWLSFRjAkNERCQyMonmfjVlZGQE4NlBtf9WPjVUVlYGZ2dnAEBCQoJSv4SEBHTs2FEpAdIEJjBEREQiI4Zt1C+88ALatGmD6OhoZGVlKbTt378fANCnTx9069YNtra2CA8PR0FBgbxPbGwskpKSMHLkyFpEUTGtnMSri3gSL5EynsRLpJq2T+INs5mosbGmpO6v8b3nzp3DzJkzYWlpiXHjxsHCwgIXLlzA999/jxdffBFhYWEwMjLC6dOnMXv2bDg4OMDPzw+ZmZkIDQ2Fra0tDh48qDufEtBFTGCIlDGBIVJN2wlMqAYTmKm1SGAA4Nq1a/j8889x+fJlFBUVwcbGBsOHD0dgYCAaNWok73f27Fls27YNN2/eRJMmTdC3b18sWLAAzZs3r+0rqMQE5n+YwBApYwJDpJq2E5jdtppLYN68X7sERqy4BoaIiIh0Ds+BISIiEpnafsOoIWACQ0REJDJMYNTjFBIRERHpHFZgiIiIREYQycccxYwJDBERkchwCkk9TiERERGRzmEFhoiISGRYgVGPCQwREZHI8IRZ9ZjAEBERiUxtviLdUHANDBEREekcVmCIiIhEhmtg1GMCQ0REJDJMYNTjFBIRERHpHFZgiIiIRIa7kNRjAkNERCQy3IWkHqeQiIiISOewAkNERCQyXMSrHhMYIiIikeEaGPU4hUREREQ6hxUYIiIikZGxBqMWExgiIiKR4RoY9ZjAEBERiQzrL+pxDQwRERHpHFZgiIiIRIZTSOoxgSEiIhIZnsSrHqeQiIiISOewAkNERCQy3EatHhMYIiIikWH6oh6nkIiIiEjnsAJDREQkMtyFpB4TGCIiIpHhGhj1OIVEREREOocVGCIiIpFh/UU9VmCIiIhERqbBX21JpVLs3LkTQ4YMgYuLCwYNGoRPPvkEhYWFCv3Onz+PCRMmwN3dHT169MDSpUuRlZWlgQhUYwWGiIhIZMS0Bmb+/PmIiYnBa6+9hilTpuDKlSv44osvcOvWLWzfvh0SiQRxcXGYPn06OnXqhLlz5+LJkycICwtDfHw8IiIiYGpqqvG4mMAQERGRStHR0YiJicGMGTMwf/58AMC4ceNgbm6Offv24cqVK3Bzc8OaNWtgbW2NAwcOwMzMDADQrVs3BAYGYu/evZg5c6bGY+MUEhERkcgIGvzVRnh4OCwsLDBr1iyF65MmTcLMmTNhZGSEhIQE3L59G2PGjJEnLwDQr18/dOzYEVFRUbWMQjUmMERERCIjhjUwpaWluHLlCjw9PdGoUSMAQFFREcrKytCuXTvMmzcPzs7OiI+PBwB07dpVaQwXFxckJycjLy+vFpGoxikkIiKi59jAgQMrbT916pTK6/fv30dJSQlsbW1x7NgxbN++HSkpKTAyMsKQIUPw7rvvomnTpkhLSwMAWFtbK43RsmVLAEBqaiqcnJxq+SaKmMAQERGJjCCCRby5ubkAgNOnT+Prr79GYGAgOnXqhAsXLuDAgQNISkrCwYMHkZ+fDwAwMTFRGsPY2BgAlHYsaQITGCIiIpHR5KcEKqqwqFNSUgIAuH37NsLCwtCzZ08AwKBBg2BhYYFPP/0UkZGRkMmeRSuRSJTGEIRniZienuZXrHANDBERESkpr6h06NBBnryUGzt2LAAgLi5OvkW6qKhIaYzi4mIAgLm5ucbjYwJDREQkMjIIGvvVVPmalubNmyu1WVpaQiKRID8/H7a2tgCA9PR0pX4ZGRmQSCRo1apVjeOoCBMYqne2tm2QmXEd/foqZvh9envg7OmjyM78E7cTf8Unm1bDzEzzhyER1beH6Y/Q02sMfv3tmsL19EeZWLxqA3p7j4XnoNGY9vZS3LiVqNAnKeUuZi96Dx6vjkavIb54e+kaJN+5X5fhkxaIYRu1paUlbGxskJSUJJ8mKnfv3j0IggBbW1s4OzsDABISEpTGSEhIQMeOHRW2V2sKExiqV3Z2Nvjh+2/QrFlThev/+Y8jfvj+Gzx9WoI3xs/A2g82Y+KE17F/37Z6ipRIOx6kpSNw3jLk5RcoXC8oKIT/rIW4fisJ7y0KwoZVi1FQWITp85bjUWY2AOD+gzRMmhGMpOS7WL5gJj5atRgGBvqY8NZ83H+QVh+vQ88ZHx8fZGVl4ZtvvlG4/uWXXwIAvL290a1bN9ja2iI8PBwFBX///zg2NhZJSUkYOXKkVmLjIl6qFxKJBJMn+eKjDStVtr8xbhQEQcDoMQEoKHi2et3AwACfb1sPOzsb3L2bWpfhEmmcTCZD1Pf/h42ffamyfW94JHKe5OLbr3ehRXNLAICz0wsYGzAXF69cw9BBr2DfoWMofvoU4bs/RVub1gCA3p4vYkLgfITs3IMNqxbX2fuQZonlUwLTp0/HmTNnsHbtWty8eRNdunTBTz/9hJiYGIwcORI9evQAACxfvhyzZ8/G+PHj4efnh8zMTISGhsLBwQETJkzQSmyswFC9cHXtgm2frcO+fYcxZepcpfZGRkaQSktRWPj3orDMrGf/1WllaVFncRJpy63EZKzZ+BlGer+KdSveUWqPif0Zg/r3kScvANDcyhKno/Zj6KBXAAC3U+6ik307efICPPuPA/euzvjxl4tafwfSHjEcZAc82wa9b98+TJ06FefOncPatWvx119/YeHChVi/fr2834ABA7B9+3YYGRlh/fr1OHToELy9vREaGqqV7yABrMBQPbl7NxWOnfsgNfWh0toXAPgq7BsEBLyBjR+vwgcfboG1dQuseHc+riVcx9Vr1+shYiLNam3dEifCd8O6ZQultS/S0lLcTr6L4YMHIGTnXhz57gfk5OSim0tnLFswCw4d7QEAls2a4q/bKZCWlsLQ4O9/nN9LfYi8/AI8yc1D0yaa3/1B2ieGc2DKmZmZYdGiRVi0aFGl/V555RW88sordRMUWIGhevL4cQ5SUx9W2H7jxl9Ytnwd5syeioy033Et/gzMzczw2kh/pcVkRLqoaRNzWLdsobItNy8fpWVl2BceiV+vXMXqJfPw8ftLkfMkD1PnLEb6o0wAwMihg5CZ9RjL1mzEvdSHyHmSi33hkfj5wmUAQGFRcZ29D1FdYwJDorR40Rxs+2wddnyxF4MGj8UbE2Yiv6AAJ/8bjpYtlbf0ET1PpFKp/H9/sWkt+vXywKBXemP7xvdRWFSEryO+BQD08nDH+pULcf7SFXiPDUCfoX6IjfsV0yf7AQBMjBvXS/xUe2KZQhIzTiGR6Ojr62PZ0rdx4OsjeHveu/LrsbFxuPVnHN5ZMBOLlqypxwiJtMv0fweIveTuChMTY/n11tYt0aGdHW4m3pZfG+41AEMHvYJ7qQ/RuHEjtGrRHJ99uQ96enowM1U+2p10g5imkMRKdAnMtWvX1HdSwdXVVcORUH1p0cIKpqYmiIu7pHA9IyMTf95MRJcuDvUUGVHdMDczhaVFM5SUSJXaSktL0cjICMCzM2B+v3ELI71fRbu2NvI+128mwrGTPfT19essZqK6JroEZty4cfJvJ1THjRs3tBAN1YeMjExkZT1Gnz4e+GLnXvl1KysLOLzQARcvxtdjdER14+Ue3XHqxzg8znkCi/+dk5R85z5S7t3H6yOGAACSku9g+dpNcOniiA7t2sqvxV24jBlTx9db7FR7z/PUj6aILoH5+uuvERQUhMzMTAwdOhT29vb1HRLVMZlMhtXvb8SnWz9Abm4+jhz5DlbNLbF40RyUlZVh85Yv6jtEIq2bMXU8Tp/7BYHzl2PG1PEoLS3D1i/CYN2yBV4f4QUAeLnnS2hr0xqLV23AnOmTUVBYiE3bdsO2jTUmjfWp5zeg2pDV4D/kGxrRJTDdunXDgQMHMHbsWNy8eRPr1q2D0f/KpdRwfL49DDlPcjF/3luY4j8WmZnZ+OnnX/H6mADc4THp1AC0tWmN/Ts24ZPtX2Hp+xuhr6+Hni+5YdHcQJj+b22LcePG+OKTtVi/9QssWf0RjIyM8HKP7pg3Y4q8D9HzSiLUZL6mDpw5cwYzZ87E22+/jZkzZ2r9eQZGNuo7ETUwRQ/O1XcIRKJk2LyDVsef2G60xsbaf+eoxsYSE9Fuo+7fvz+GDRuGkydPKmwpJCIiet6J4WvUYie6KaR/2rRpU32HQERERCIk6gSGiIioIeI5MOoxgSEiIhIZbqNWjwkMERGRyDzPa1c0RbSLeImIiIgqwgoMERGRyHANjHpMYIiIiESGa2DU4xQSERER6RxWYIiIiERGpIfkiwoTGCIiIpHhLiT1OIVEREREOocVGCIiIpHhIl71mMAQERGJDLdRq8cpJCIiItI5rMAQERGJDBfxqscEhoiISGS4jVo9JjBEREQiw0W86nENDBEREekcVmCIiIhEhruQ1GMCQ0REJDJcxKsep5CIiIhI57ACQ0REJDLchaQeExgiIiKR4RSSepxCIiIiIp3DCgwREZHIcBeSeqzAEBERiYxMEDT205Ti4mJ4e3tjwIABSm3nz5/HhAkT4O7ujh49emDp0qXIysrS2LNVYQJDREREan300Ue4ffu20vW4uDi8+eabyM/Px9y5c/HGG2/ghx9+wMSJE1FQUKC1eDiFREREJDJim0A6d+4cvv76axgaGipcFwQBa9asgbW1NQ4cOAAzMzMAQLdu3RAYGIi9e/di5syZWomJFRgiIiKRkUHQ2K+2cnJysGzZMowaNQq2trYKbQkJCbh9+zbGjBkjT14AoF+/fujYsSOioqJq/fyKMIEhIiISGTElMCtXroShoSGWL1+u1BYfHw8A6Nq1q1Kbi4sLkpOTkZeXV+sYVOEUEhER0XNs4MCBlbafOnWqwrZjx47h5MmT2LNnj0KFpVxaWhoAwNraWqmtZcuWAIDUfTViDwAADzJJREFU1FQ4OTlVJ+QqYQJDREQkMmI4iTc1NRVr166Fv78/PD09VfbJz88HAJiYmCi1GRsbAwAKCwu1Eh8TGCIiIpHR5Em8lVVYKny+TIYlS5agZcuWWLBgQaX9AEAikSi1lSdhenraWa3CBIaIiIgUhIaG4tKlS9i5cycKCgrk26FlMhlkMhmys7NhaGgIU1NTAEBRUZHSGMXFxQAAc3NzrcTIBIaIiEhk6vsk3rNnz0Imk2HatGkq23v27AkPDw8MHjwYAJCeno727dsr9MnIyIBEIkGrVq20EiMTGCIiIpGp7zUwixcvRm5urtL1ZcuWQSqV4uOPP0aTJk0glUoBPNtO/e91MgkJCejYsaPKxb+awASGiIiIFDg7O6u83rhxY+jp6aFXr14AniVatra2CA8PxxtvvCGfUoqNjUVSUhKCg4O1FiMTGCIiIpHR5CJebZJIJFi+fDlmz56N8ePHw8/PD5mZmQgNDYWDgwMmTJigtWfzIDsiIiKREQRBYz9tGzBgALZv3w4jIyOsX78ehw4dgre3N0JDQ+UVGW2QCPU90SYSBkY29R0CkegUPThX3yEQiZJh8w5aHd/NurfGxrqS9rPGxhITTiERERGJjK5MIdUnJjBEREQiU9/bqHUBExgiIiKRkXF1h1pcxEtEREQ6hxUYIiIikeEUknpMYIiIiESGU0jqcQqJiIiIdA4rMPT/7d19bI1n/MfxT4su1bLFnE5pPW60WY+WCnuyM9rYrEtKLKinsCE2uoWykP6ztosQE6I2m5XSqVSJqNiCeBhZS8RDqacumBELVVOqPdLS8/vDr+e3s9M6tl/1vu96v+T8ce7rus/99Vc/+V7XdQ4AwGRYQvKNAAMAgMmwhOQbS0gAAMBy6MAAAGAyLCH5RoABAMBkWELyjSUkAABgOXRgAAAwGZaQfCPAAABgMi5XndElmB4BBgAAk6mjA+MTe2AAAIDl0IEBAMBkXJxC8okAAwCAybCE5BtLSAAAwHLowAAAYDIsIflGgAEAwGT4Jl7fWEICAACWQwcGAACT4Zt4fSPAAABgMuyB8Y0lJAAAYDl0YAAAMBm+B8Y3AgwAACbDEpJvBBgAAEyGY9S+sQcGAABYDh0YAABMhiUk3wgwAACYDJt4fWMJCQAAWA4dGAAATIYlJN8IMAAAmIyZTiGVlpZq5cqVOnLkiKqqqhQaGqqEhAR9+umnCggIcM87fPiwMjMzde7cOQUEBGjIkCGaO3euXnzxxadSFwEGAAA06MqVK0pKSlKbNm00btw4hYSE6PDhw1q1apVOnTqlNWvWyM/PT0VFRZo2bZpefvllffbZZ7pz547WrVun4uJibdmyRUFBQU1eGwEGAACTMcuPOS5cuFA1NTXasmWLevbsKUlKSkrSokWLlJ2drb179youLk4ZGRnq1KmTcnNzFRwcLEmKiYnR9OnTlZOTo08++aTJa2MTLwAAJlPncjXZ6796+PChjhw5ogEDBrjDS73ExERJ0rFjx1RSUqJLly7pww8/dIcXSXI4HOrVq5cKCgr+cw2PQwcGAAB48ff3V0FBQYMbiv/66y9JUqtWrVRcXCxJio6O9ppnt9u1bds2VVZWql27dk1aHwEGAACTacpTSHFxcY8d37t3b4PX/fz8FB4e3uDY+vXrJUmDBg3SoUOHJEmdOnXymhcSEiJJunbtmiIiIp645ifBEhIAACbjasJ/TS07O1sHDhxQbGysBg8erHv37kmS2rZt6zU3MDBQklRdXd3kddCBAQDAZJqyA9NYh+W/yMnJ0eLFi2Wz2bR06VJJUl1dnaRHHZt/qv9/+Ps3fb+EAAMAAB7L5XLp66+/VlZWlmw2m9atW6fQ0FBJch+RdjqdXvfdv39fkpp8/4tEgAEAwHTM9E28NTU1WrBggXbs2KGuXbtqzZo16tq1q3s8LCxMknTjxg11797d496ysjL5+fnppZdeavK62AMDAIDJuJrw9f/x8OFDzZ49Wzt27JDdbtemTZs8woskRUVFSZJKSkq87i8pKVGvXr08jlc3FTow/+tBzTWjSwAAQJJ5/iZlZmZqz5496t+/v7Kyshr8Rt2YmBiFhYVp06ZNSkpKcs85cOCALl68qJSUlKdSm5/LTH0qAABgCjdv3tTQoUNVW1urlJQU95Hov+vRo4f69u2rffv2aebMmerdu7fGjBmj8vJyZWdnKywsTHl5eU/lpwQIMAAAwMvPP/+s2bNnP3bOmDFjlJ6eLkn65Zdf9M0336i0tFTt27fX22+/rTlz5qhjx45PpT4CDAAAsBw28QIAAMshwAAAAMshwAAAAMshwAAAAMshwAAAAMshwAAAAMshwAAAAMshwAAAAMshwAAAAMshwAAAAMshwMAUysvLlZqaqsGDBysmJkZjx45VYWGh0WUBplFcXKzIyEgVFxcbXQpgCgQYGK6qqkpTpkzRjh07NHLkSM2bN09Op1NTp07Vr7/+anR5gOGuXLmi5ORk1dXVGV0KYBqtjS4A2LBhg3777Td99913GjJkiCRpxIgRGjFihDIyMrRz5075+fkZXCVgjP3792v+/PmqqKgwuhTAVOjAwHAFBQXq1q2bO7xIUlBQkEaPHq3Lly/r5MmTBlYHGCclJUUzZsxQhw4dlJCQYHQ5gKkQYGCoyspKXbp0SX379vUas9vtkkSAwTPrwoULSk5O1rZt29SjRw+jywFMhSUkGOrGjRtyuVwKDQ31GgsJCZEkXbt2rbnLAkxh8+bNCggIMLoMwJTowMBQlZWVkqTAwECvsbZt20qSnE5ns9YEmAXhBWgcAQaGqj9V0dAmXZfL1egYAODZRoCBoYKCgiRJ9+/f9xqr77y0a9euWWsCAJgfAQaGCgsLk/RoL8w/lZWVSVKD+2MAAM82AgwMFRwcrO7du6ukpMRrrP5aQyeUAADPNgIMDPfBBx/owoULOnjwoPtaVVWV8vPz1atXL/dxagAA6nGMGoabMmWKCgoK9Pnnn2vy5Mmy2WzKz8/Xn3/+qR9++IFNvAAALwQYGC44OFi5ublasmSJcnNzVVtbq4iICK1Zs0avvfaa0eUBAEzIz1V/VhUAAMAi2AMDAAAshwADAAAshwADAAAshwADAAAshwADAAAshwADAAAshwADAAAshwADAAAshwADAAAshwADGGDr1q3q06eP1ysyMlL9+vXT8OHDtXDhQpWXlxtS17Jly9zX5s+frz59+qioqOg/featW7eUm5vbVCV6aKheAM8GfgsJMFBERITi4+Pd710ul5xOp06cOKH169dr9+7d2rx5s2w2m2E1xsfHq0uXLgoPD//X9966dUvDhg1T7969NX78+KdQHYBnFQEGMFBkZKSSk5MbHPviiy9UUFCgzMxMpaenN3Nl/yc+Pt4jZP0bTqdT9+7da+KKAIAlJMC0ZsyYIUnav3+/wZUAgPkQYACT6ty5syTp9u3bkqSJEyeqX79+OnHihIYPHy673a6EhAQ5nU5JUkVFhRYvXqz4+HhFRUXpjTfe0Jw5c3Tx4sUGPz8vL0+JiYmKjo7WO++8o5UrV+rBgwde8xrbA/PHH38oNTVVDodDffv21bvvvqslS5bo7t27kqTMzEzFxcVJko4fP64+ffooMzPTff/TqhfAs4ElJMCkLl++LEnq1KmT+1ptba1mzJih/v37y+Fw6P79+woMDFRZWZnGjRunq1evatCgQRo2bJhu3rypnTt3av/+/crKylJsbKz7c9LS0rRx40aFhoZq1KhRunPnjlavXq327ds/UW0nTpzQ1KlTVVVVJYfDoZ49e+r06dPKysrSoUOHtGHDBg0cOFCTJk1STk6O+zkDBw6UpGavF0DLQ4ABTOjBgwdavny5JOm9995zX6+trdVbb72lpUuXesxPS0vT1atXlZGRodGjR7uvf/TRRxozZozmzZun3bt3q3Xr1jp69Kg2btyoV199VdnZ2Xr++eclSadPn9bEiRN91uZyubRgwQI5nU59++23Gjp0qHssPT1dubm52rp1qyZMmKAuXbq4A8zf9/o0Z70AWiYCDGCgc+fOeSyruFwu3b59W0VFRbp8+bJeeeUV916YesOHD/d4X15err1798put3uEAenRJuHExETl5+ersLBQDodD27dvlyTNmjXLHQYkKSoqSmPHjtXatWsfW/OpU6f0+++/Kz4+3iO8SI/27bRt21Y9evRo9P7mrhdAy0SAAQx0/vx5nT9/3v3e399fQUFB6tatm5KTkzV58mQFBwd73BMWFubx/syZM3K5XKqpqfEIQ/WuX78uSTp79qwcDofOnj0rSYqOjvaaGxsb6zMQ1N8fExPjNRYSEqK5c+c+9v7mrhdAy0SAAQw0cuRILVq06F/dExgY6PH+zp07kqTS0lKVlpY2el/9vMrKSklSu3btvOa88MILPp9fUVHR6P1PornrBdAyEWAAiwsKCpIkJSUl6csvv/Q5v/6P/t27d9WxY0ePserq6id+Xn2w+Keqqir3HDPUC6Bl4hg1YHGRkZGSHu1NachPP/2k5cuXu5eq7Ha7JOno0aNec0+ePOnzeREREY0+r6KiQgMGDNDHH38sSfLz8zO8XgAtEwEGsLjOnTvrzTff1JkzZ7R+/XqPsUuXLiktLU2rV69276UZNWqU/P39tWLFCt28edNj7oYNG3w+LzY2VuHh4dq3b58KCws9xlatWqW6ujoNHjxYktS69aMm79+/r6W56wXQMrGEBLQAGRkZGj9+vBYuXKhdu3YpOjpaFRUV2rlzp6qrq5Wamure/BsZGalZs2ZpxYoVGjFihOLi4lRbW6tdu3bJZrO597g0plWrVlq0aJGmTZumqVOnKi4uTuHh4Tp58qSOHTumgQMHasKECZKkDh066LnnntPZs2f11Vdf6fXXX1dcXFyz1gugZaIDA7QAXbp00datWzV58mSVlZXpxx9/1MGDB9W/f3+tXbtWkyZN8pg/c+ZMLVu2TJ07d9b27dt18OBBjR49WqmpqU/0vAEDBmjLli16//33dfz4ceXk5Oj69euaPn26vv/+e3fnpU2bNkpPT5fNZlNeXp727NljSL0AWh4/l8vlMroIAACAf4MODAAAsBwCDAAAsBwCDAAAsBwCDAAAsBwCDAAAsBwCDAAAsBwCDAAAsBwCDAAAsBwCDAAAsBwCDAAAsBwCDAAAsBwCDAAAsJz/ATkBXk75pib2AAAAAElFTkSuQmCC","text/plain":["<Figure size 640x480 with 2 Axes>"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["Classification Accuracy: 0.8042328042328042\n","Classification Error: 0.1957671957671958\n","False Positive Rate: 0.2931937172774869\n","Precision: 0.7511111111111111\n","AUC Score: 0.8052747991152673\n","Cross-validated AUC: 0.8784644661702792\n","First 10 predicted responses:\n"," [1 0 0 0 1 1 0 1 1 1]\n","First 10 predicted probabilities of class members:\n"," [[0.33333333 0.66666667]\n"," [1.         0.        ]\n"," [1.         0.        ]\n"," [0.66666667 0.33333333]\n"," [0.37037037 0.62962963]\n"," [0.03703704 0.96296296]\n"," [0.59259259 0.40740741]\n"," [0.37037037 0.62962963]\n"," [0.33333333 0.66666667]\n"," [0.33333333 0.66666667]]\n","First 10 predicted probabilities:\n"," [[0.66666667]\n"," [0.        ]\n"," [0.        ]\n"," [0.33333333]\n"," [0.62962963]\n"," [0.96296296]\n"," [0.40740741]\n"," [0.62962963]\n"," [0.66666667]\n"," [0.66666667]]\n"]},{"data":{"image/png":"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","text/plain":["<Figure 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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["[[135  56]\n"," [ 18 169]]\n"]}],"source":["Knn()"]},{"cell_type":"markdown","metadata":{"_cell_guid":"2138699d-4714-4e44-8121-d710a784b0f6","_uuid":"6ca0e7311ac50b774f34803b1cb34fda2a7c106f"},"source":["<a id='Decision_Tree_classifier'></a>\n","### Decision Tree classifier"]},{"cell_type":"code","execution_count":121,"metadata":{"_cell_guid":"fcb8d170-9cde-4660-81f4-a2c78a08a94d","_uuid":"d3f64d71ce02ef0948f73771f94b345b1c738716","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[],"source":["def treeClassifier():\n","    # Calculating the best parameters\n","    tree = DecisionTreeClassifier()\n","    featuresSize = feature_cols.__len__()\n","    param_dist = {\"max_depth\": [3, None],\n","              \"max_features\": randint(1, featuresSize),\n","              \"min_samples_split\": randint(2, 9),\n","              \"min_samples_leaf\": randint(1, 9),\n","              \"criterion\": [\"gini\", \"entropy\"]}\n","    tuningRandomizedSearchCV(tree, param_dist)\n","    \n","    # train a decision tree model on the training set\n","    tree = DecisionTreeClassifier(max_depth=3, min_samples_split=8, max_features=6, criterion='entropy', min_samples_leaf=7)\n","    tree.fit(X_train, y_train)\n","    \n","    # make class predictions for the testing set\n","    y_pred_class = tree.predict(X_test)\n","    \n","    print('########### Tree classifier ###############')\n","    \n","    accuracy_score = evalClassModel(tree, y_test, y_pred_class, True)\n","\n","    #Data for final graph\n","    methodDict['Tree clas.'] = accuracy_score * 100"]},{"cell_type":"code","execution_count":122,"metadata":{"_cell_guid":"f0005b0c-9f54-441d-b71d-6dc1eaf79a48","_uuid":"b6f92441922c51ed520f54e588d28e5f6ac54d7c","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Rand. Best Score:  0.8305206349206349\n","Rand. Best Params:  {'criterion': 'entropy', 'max_depth': 3, 'max_features': 6, 'min_samples_leaf': 7, 'min_samples_split': 8}\n","[0.831, 0.81, 0.813, 0.829, 0.831, 0.83, 0.831, 0.798, 0.831, 0.831, 0.831, 0.811, 0.831, 0.83, 0.826, 0.831, 0.831, 0.805, 0.831, 0.831]\n","########### Tree classifier ###############\n","Accuracy: 0.8068783068783069\n","Null accuracy:\n"," 0    191\n","1    187\n","Name: treatment, dtype: int64\n","Percentage of ones: 0.4947089947089947\n","Percentage of zeros: 0.5052910052910053\n","True: [0 0 0 0 0 0 0 0 1 1 0 1 1 0 1 1 0 1 0 0 0 1 1 0 0]\n","Pred: [1 0 0 0 1 1 0 1 1 1 0 1 1 0 1 1 1 1 0 0 0 0 1 0 0]\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 2 Axes>"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["Classification Accuracy: 0.8068783068783069\n","Classification Error: 0.19312169312169314\n","False Positive Rate: 0.3193717277486911\n","Precision: 0.7415254237288136\n","AUC Score: 0.8082285746283282\n","Cross-validated AUC: 0.8846209268504296\n","First 10 predicted responses:\n"," [1 0 0 0 1 1 0 1 1 1]\n","First 10 predicted probabilities of class members:\n"," [[0.18       0.82      ]\n"," [0.99375    0.00625   ]\n"," [0.99375    0.00625   ]\n"," [0.88135593 0.11864407]\n"," [0.36969697 0.63030303]\n"," [0.18       0.82      ]\n"," [0.88135593 0.11864407]\n"," [0.36969697 0.63030303]\n"," [0.20430108 0.79569892]\n"," [0.20430108 0.79569892]]\n","First 10 predicted probabilities:\n"," [[0.82      ]\n"," [0.00625   ]\n"," [0.00625   ]\n"," [0.11864407]\n"," [0.63030303]\n"," [0.82      ]\n"," [0.11864407]\n"," [0.63030303]\n"," [0.79569892]\n"," [0.79569892]]\n"]},{"data":{"image/png":"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","text/plain":["<Figure 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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["[[130  61]\n"," [ 12 175]]\n"]}],"source":["treeClassifier()"]},{"cell_type":"markdown","metadata":{"_cell_guid":"406048fd-2312-4975-bd64-3db6cfe85aa5","_uuid":"5c0bc7e355c38fa87b250b6a56e002611c0ede1d"},"source":["<a id='Random_Forests'></a>\n","### Random Forests"]},{"cell_type":"code","execution_count":123,"metadata":{"_cell_guid":"b5d831e8-3bcc-4e78-82bd-309a9a898954","_uuid":"5419fdc8736774794575f2bd85a0f5341ad9d48d","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[],"source":["def randomForest():\n","    # Calculating the best parameters\n","    forest = RandomForestClassifier(n_estimators = 20)\n","\n","    featuresSize = feature_cols.__len__()\n","    param_dist = {\"max_depth\": [3, None],\n","              \"max_features\": randint(1, featuresSize),\n","              \"min_samples_split\": randint(2, 9),\n","              \"min_samples_leaf\": randint(1, 9),\n","              \"criterion\": [\"gini\", \"entropy\"]}\n","    tuningRandomizedSearchCV(forest, param_dist)\n","    \n","    # Building and fitting my_forest\n","    forest = RandomForestClassifier(max_depth = None, min_samples_leaf=8, min_samples_split=2, n_estimators = 20, random_state = 1)\n","    my_forest = forest.fit(X_train, y_train)\n","    \n","    # make class predictions for the testing set\n","    y_pred_class = my_forest.predict(X_test)\n","    \n","    print('########### Random Forests ###############')\n","    \n","    accuracy_score = evalClassModel(my_forest, y_test, y_pred_class, True)\n","\n","    #Data for final graph\n","    methodDict['R. Forest'] = accuracy_score * 100"]},{"cell_type":"code","execution_count":124,"metadata":{"_cell_guid":"d2b956e0-e921-4433-8cf1-3c4db0e26c12","_uuid":"1c522cc7c4e6ba720b10620eb49f48274b24d79d","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Rand. Best Score:  0.8305206349206349\n","Rand. Best Params:  {'criterion': 'entropy', 'max_depth': 3, 'max_features': 6, 'min_samples_leaf': 7, 'min_samples_split': 8}\n","[0.832, 0.834, 0.831, 0.831, 0.831, 0.831, 0.831, 0.832, 0.831, 0.831, 0.831, 0.831, 0.831, 0.831, 0.831, 0.831, 0.834, 0.831, 0.831, 0.831]\n","########### Random Forests ###############\n","Accuracy: 0.8121693121693122\n","Null accuracy:\n"," 0    191\n","1    187\n","Name: treatment, dtype: int64\n","Percentage of ones: 0.4947089947089947\n","Percentage of zeros: 0.5052910052910053\n","True: [0 0 0 0 0 0 0 0 1 1 0 1 1 0 1 1 0 1 0 0 0 1 1 0 0]\n","Pred: [1 0 0 0 1 1 0 1 1 1 0 1 1 0 1 1 1 1 0 0 0 0 1 0 0]\n"]},{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAjAAAAHUCAYAAAAkzBJmAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD+naQAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOzdeViUVd8H8O+wKWuKpiC4IDagAQq5r7mkIi5oIu4aKa6YSrlri5pampprGoGmJkIiFdojrwtZhEs5ikuWIC4kIODCKgNzv3/4ME/TDAzLjNwj389zzXW9nXPm3L+xrvq9v7PcEkEQBBAREREZEKOaDoCIiIiospjAEBERkcFhAkNEREQGhwkMERERGRwmMERERGRwmMAQERGRwWECQ0RERAaHCQwREREZHCYwREREZHCYwFCtdOvWLXzyyScYMmQI2rdvDw8PD3h7e+Pjjz9Genr6c48nJSUFkyZNgqenJ7y8vLB161a9PWvLli1wcXFBRESE3p5REX369IGLiwtcXFxw/vz5cseGhYUpxx4+fLhazz1+/Dj++OOPCo09e/YsXFxc8O6771brmUSke0xgqNYJCQnBkCFDEBYWhkaNGmH48OHw8/ODhYUF9uzZg0GDBuHixYvPNaYFCxYgISEBHTp0wLhx49CxY0e9Patjx46YPXs22rRpo7dnVNaPP/5Ybn9MTIxOnrN+/XoEBQUhOzu7QuMdHBwwe/Zs9O/fXyfPJyLdManpAIiep7CwMHzyySeQSqXYsmULWrRoodIfFRWFJUuWYMqUKYiOjoajo+NzievatWuwtrbGjh07YGxsrNdnderUCZ06ddLrMyrj5Zdfxn/+8x8sXboURkbq/z/V3bt3cfnyZVhaWiIvL69az8rMzKzUeEdHRwQFBVXrmUSkH6zAUK1x9+5drF+/HjY2NtizZ49a8gIAw4cPx8SJE5Gbm4uQkJDnFptcLoeNjY3ekxcxGjhwIB48eIDffvtNY//Ro0cBAH379n2eYRGRyDGBoVrjyJEjkMvlGDduHGxtbcscFxAQgODgYAwfPlylvbCwEFu3bsWgQYPg7u6O9u3bY/LkyYiLi1Obw8XFBTNnzsSNGzcwffp0tG/fHu3atcP48ePx66+/KsctWrQILi4uAIDU1FS4uLigT58+Kn3x8fFq80+YMAEuLi64ffu2su3hw4f48MMPMXDgQHh4eKBTp06YMmWK2vfL2gPz999/Y8WKFejVqxfc3NzQrVs3BAcH4+bNmyrjSveFhIWFITY2Fn5+fmjbti06duyIuXPn4s6dO2X+2Wri7e0NADh27JjG/piYGHh4eKBZs2Ya+2/fvo0VK1bgjTfegIeHB9q2bYtBgwZh06ZNKCwsVI5zcXFBVFQUAOCtt95S/rmX/p5du3bhww8/hKenJzp27Ih9+/ap7YGRyWRo06YNXnvtNaSlpanE8fHHH8PFxQWLFy+u1O8noqphAkO1xunTpwEAvXr1Kndc48aNERgYCA8PD2VbTk4ORo8ejS1btsDY2Bj+/v7o3bs3EhMTERgYiJ07d6rNk5KSgtGjRyMrKwt+fn7o2bMnLly4gClTpuDPP/8EAPTr1w+zZ88GAFhbW2P27NmYOHFipX9bUVERpkyZgvDwcLzyyiuYNGkS+vTpg99++w1vv/02fvrpp3K/f/36dfj6+iI8PBxOTk4YP3483N3dERMTg5EjR2pMon744QcEBQWhYcOGGD9+PFq2bIljx45h4sSJkMvlFY69bdu2cHBwwPHjx6FQKFT6kpKScOPGDfj4+Gj87h9//IERI0YgOjoaHh4emDRpEgYPHoysrCzs2LEDCxYsUI6dPXs2XF1dAQDDhg1T/rmX2rNnD2JjYzF69Gh07NgR7dq1U3teu3btMHXqVOTm5uKDDz5QtsfHx2Pv3r1o0aIFli1bVuHfTkTVIBDVEl27dhWkUqnw6NGjSn93xYoVglQqFZYvXy7I5XJl+507d4SePXsKLi4ugkwmU7ZLpVJBKpUKa9euVZlny5YtglQqFT744AOVdqlUKvTu3VulbeHChYJUKhV++eUXtXjGjx8vSKVSISUlRRAEQTh58qQglUqFjRs3qow7f/68IJVKhYCAAGXb559/LkilUuHQoUOCIAhCSUmJ4OPjI0ilUiEqKkrl+3FxcYKrq6vQuXNnIS8vTxAEQUhISFD+vhMnTijHKhQKYdKkSYJUKhWOHj1axp/k//Tu3VuQSqWCXC4X1q1bJ0ilUuHs2bMqYzZv3iy4uroKaWlpyri//fZbZf+0adMEqVQqnDt3TuV7mZmZgpeXl+Dq6irk5OSU+2da+ntcXV2FmzdvqsxT2hccHKxsKyoqEoYPH678nY8ePRJ69OghvPrqq0JiYqLW301EusEKDNUajx8/BgBYWFhU6ntFRUX47rvvYGNjg6VLl8LE5H9735s2bYq5c+dCEASEh4erfTcwMFDlr0uXhyq7zKKNIAgAnlVS8vPzle3t27fH8ePHsWPHjjK/K5PJ8Ndff6FHjx7w9fVV6evZsyd8fX2RnZ2N48ePq/RJpVLl7wEAiUSC119/HUDlf9+gQYMAqJ9GiomJQYcOHdC4cWON35swYQLWrVuHDh06qLQ3aNAAr7zyChQKBR49elShGKRSKZydnbWOMzU1xSeffII6derg448/xrJly5Ceno558+bBzc2tQs8ioupjAkO1Rv369QEAT548qdT3UlJSkJ+fDw8PD9SpU0etv3379gCeJQ//VK9ePeUzS1lbWwN4lhTpUteuXdGiRQucPn0a3bp1w/Tp07F3717cunULzZs3h5mZWZnfvXbtGgCUeXS7rN/n5OSkNrb091VmCQkA3Nzc0KxZM5VlpKtXryIlJQWDBw8u83vdunWDr68vHj16hLNnzyIiIgIbNmxAQEAArly5AgBqy1Jladq0aYXjbdWqFebNm4eMjAwcP34c3bp1Q0BAQIW/T0TVxwSGao3STaApKSlaxyYlJSn/w5eTkwPgf/9x/rfS6sA/Kx8ANCY7EomkwvFWRt26dREeHo63334b9evXx6lTp7B69WoMHDgQI0aMwOXLl8v8bunvs7Ky0thf+vsKCgpU2jUlRaW/r7QiVBne3t548OABLly4AOBZ9cXU1LTcO1gyMjIwf/58dOvWDRMnTsSyZcsQHR0NGxsbZdwVjaVu3bqVird///7KU2NeXl56+3tLRJoxgaFao3Tz7pkzZ8od9/fff8PHxwfdunVDQUGB8j/sZd3QW1rR+Xe1pbpK/4OoqYLw72QJeFbxWbBgAU6ePInjx4/jgw8+QJcuXXD16lVMmTIFubm5Gp9T0d9Xr169Kv2Oivr3MtKPP/6I7t27l/lcQRAQGBiImJgY+Pv748CBAzh37hx++uknbNq0CQ0aNNBbrIIgYMmSJSgpKUG9evWwc+fOCt/uS0S6wQSGao0hQ4bA3Nwc+/fvL/cm1tDQUAiCgPbt28Pc3BwtW7aEubk5/vzzT43LT2fPngXwbA+FLpmamgKA2uVtCoUCd+/eVWk7c+YMVq1apTxW3bx5c4wZMwZhYWHo1KkTHj9+rDz59G+lN/KWVj7+LSEhAYDuf9+/ubq6wsnJCcePH8fFixeRmppa5ukjALhx4wauX7+ODh06YMWKFXjttdfw0ksvAXi2hFVaaftnBUZXVZK9e/ciISEBPj4+2LRpE+RyOd577z2dLw0SUdmYwFCtYW9vjxkzZuDJkyeYNGmS2kZThUKBsLAw7N27FxYWFpg3bx6AZ4nE0KFDkZubizVr1qC4uFj5nXv37mHjxo2QSCRqG2Crq2XLlgCAU6dOqbTv2bNHuSG51N9//42vv/4au3fvVml/+vQpHjx4ACMjIzg4OGh8jqenJ5ydnXHhwgVERkaq9MXHx+Pw4cOoV68eevfuXd2fpNWgQYPw4MEDrFu3Dubm5iqbhP+tdInu8ePHKn9PSkpKsGbNGuWf0T/7SjdgV3aPzj8lJSXhs88+Q/369bFs2TJ06dIFfn5++PPPP7Fp06Yqz0tElcNXCVCtEhgYiMePHyMkJAQDBw5Et27d0KpVK+Tk5OC3335DcnIyrKyssHnzZmUCAQDvvfceLl68iMOHD+PKlSvo1KkTnjx5gpMnTyInJwfvvPMOvLy8dBrrsGHDsGXLFkRFRSEzMxOurq64evUqLly4AE9PT5X3NQ0dOhTh4eGIiIjAjRs30L59e8jlcvz000+4ffs2AgICyjzJY2RkhE8//RSTJ0/G0qVL8cMPP6B169ZISUnB6dOnUadOHWzYsAGWlpY6/X2aDBo0CNu2bcPFixcxaNCgcp/ZokULeHl54ffff8fIkSPRpUsXyOVynDlzBikpKWjQoAGysrJUTiHZ29sDAD7//HNcuHABs2bNqlR8xcXFWLBgAQoLC7F69WrlhYgLFy5EXFwcQkND0adPH+XGZyLSH1ZgqFaRSCRYsGABwsPDMWTIENy7dw/h4eH47rvvIJFIEBAQgKNHj6J79+4q37O2tsbBgwcxa9YsFBcX4+DBg4iLi4Onpye++uorzJw5U+ex1q9fH/v378frr7+O33//Hfv37wcA7Nu3D56enipjzc3N8dVXX2H69OnIz8/HwYMH8e2338LW1hZr165VudBNk1dffRWHDx/GyJEjkZycjK+//hrXrl2Dr68vDh8+rPbnoS+tWrVSLlWVt3wEPPt7uW3bNowZMwZPnjzBvn37cOLECTRt2hS7du3CwoULAahWsMaOHYuePXvi5s2b+Oabb3Dv3r1Kxbdjxw5cuXIFvXv3VjkdZW1tjffffx8KhQILFy4sc78REemORKjKcQEiIiKiGsQKDBERERkcJjBERERkcJjAEBERkcFhAkNEREQGhwkMERERGRwmMERERGRwmMAQERGRweFNvP+Vt3piTYdAJDqLdz+t6RCIROnzlHC9zi/PTNbZXKYNW2ofZIBYgSEiIiKDwwoMERGR2ChKajoC0WMCQ0REJDaCoqYjED0mMERERGKjYAKjDffAEBERkcFhBYaIiEhkBC4hacUEhoiISGy4hKQVl5CIiIjI4LACQ0REJDZcQtKKCQwREZHY8B4YrbiERERERAaHFRgiIiKx4RKSVkxgiIiIxIankLTiEhIREREZHFZgiIiIRIYX2WnHBIaIiEhsuISkFRMYIiIisWEFRivugSEiIiKDwwoMERGR2PAiO62YwBAREYkNl5C04hISERERGRxWYIiIiMSGp5C0YgJDREQkNlxC0opLSERERGRwmMAQERGJjUKhu4+OyGQytG7dGjKZTK3v7t27CA4ORufOneHp6YlRo0bhxIkTauPkcjl27tyJ/v37w8PDA97e3ti3bx8EQah0PFxCIiIiEhlBENcx6jt37iAoKAgKDQnR7du3MXr0aCgUCkyYMAE2NjaIiIjAzJkzsXnzZgwcOFA5dvny5YiKioKvry+8vLwQFxeHlStX4sGDB5g3b16lYmICQ0RERGU6deoUFi1ahEePHmns/+ijj5CXl4fIyEhIpVIAwMiRIzFgwABs3LhRmcDIZDJERUUhICAACxcuBAD4+/tj7ty5CAkJgZ+fHxwdHSscF5eQiIiIxEZQ6O5TDcHBwZg+fTpsbW3h4+Oj1p+amopffvkFfn5+yuQFACwsLLBo0SIMGzYMRUVFAIAjR44AACZNmqQyR0BAAORyOY4ePVqp2FiBISIiEhuRHKO+efMmgoKCMHXqVOzatUut//z58xAEAT179gQACIKA/Px8WFpaqiU8ly5dQuPGjWFnZ6fS3qZNGxgbG+PSpUuVio0JDBERkdiI5Bh1REQEzMzMyuy/desWAKBevXr44IMP8N133yEvLw+NGjXCzJkzMWbMGOXYtLQ0NGvWTG0OExMT2NraIjU1tVKxMYEhIiJ6gfXt27fcfk2nhUqVl7wAwOPHjwEACxcuhIWFBZYvXw4jIyMcOHAAH3zwAfLy8jBlyhQAQE5ODszNzTXOY25ujoKCgnKf9W9MYIiIiMTGQF7mKJfLATxbOjp48KAy4Rk0aBCGDBmCrVu3YtSoUbCxsQEASCQSjfMIglBmX1mYwBAREYmNDpeQyquwVFdpReXNN99UqdaYmppixIgR2LBhAy5evIhevXrBwsKizCpLYWEh7O3tK/VsnkIiIiKiKindkNuwYUO1vgYNGgAAcnNzAQCOjo7IyMhQG1dcXIzs7GwmMERERAZPhDfxauLh4QEA+Ouvv9T67ty5AwDKu13c3NyQmpqKrKwslXHXrl1DSUmJcq6KYgJDREQkNiK5B0ab9u3bw9HREd9++y3S0tKU7Y8ePUJERAQcHBzg7u4OAMpj1aGhoSpzhIaGwtTUVOM9M+XhHhgiIiKqEiMjI6xevRqBgYEYNWoUxo8fDxMTE3zzzTd4/Pgx1q1bByOjZ7WSTp06YcCAAdi9ezeysrKUrxKIjY1FUFBQpZeQmMAQERGJjUgusquIzp0745tvvsGWLVvwxRdfQBAEuLu7Y82aNWjfvr3K2PXr18PJyQnR0dGIiYlB06ZN8f7772Ps2LGVfq5EqMorIF9Aeasn1nQIRKKzePfTmg6BSJQ+TwnX6/yFZ77W2Vx1e0zQ2Vxiwj0wREREZHC4hERERCQygmAYF9nVJCYwREREYmNAe2BqChMYIiIisRHJyxzFjHtgiIiIyOCwAkNERCQ2XELSigkMERGR2HAJSSsuIREREZHBYQWGiIhIbLiEpBUTGCIiIrHhEpJWXEIiIiIig8MKDBERkdhwCUkrJjBERERiwwRGKy4hERERkcFhBYaIiEhsuIlXKyYwREREYsMlJK2YwBAREYkNKzBacQ8MERERGRxWYIiIiMSGS0haMYEhIiISGy4hacUlJCIiIjI4rMAQERGJDZeQtGICQ0REJDZMYLTiEhIREREZHFZgiIiIxEYQajoC0WMCQ0REJDZcQtKKS0hERERkcFiBISIiEhtWYLRiAkNERCQ2vMhOKyYwREREYsMKjFbcA0NEREQGhwkMERGR2AiC7j46IpPJ0Lp1a8hksnLH/frrr3B1dcWWLVvU+uRyOXbu3In+/fvDw8MD3t7e2LdvH4QqxMklJCIiIrER2RLSnTt3EBQUBIWWuJ48eYJFixaVmZAsX74cUVFR8PX1hZeXF+Li4rBy5Uo8ePAA8+bNq1RMrMAQERFRmU6dOgU/Pz9kZGRoHfvhhx8iOztbY59MJkNUVBQCAgKwbt06+Pv7Y/v27fD29kZISAju3btXqbiYwBAREYmNQqG7TzUEBwdj+vTpsLW1hY+PT7ljY2JiEBMTg6CgII39R44cAQBMmjRJpT0gIAByuRxHjx6tVGxMYIiIiMRGUOjuUw03b95EUFAQjhw5AicnpzLHpaWl4cMPP8SkSZPQsWNHjWMuXbqExo0bw87OTqW9TZs2MDY2xqVLlyoVG/fAEBERkUYREREwMzMrd4wgCFi0aBEaNmyI+fPn4/r16xrHpaWloVmzZmrtJiYmsLW1RWpqaqViYwJDREQkMoJCd6eH+vbtW27/iRMnyuzTlrwAwJ49e3D+/HmEh4ejTp06ZY7LycmBubm5xj5zc3MUFBRofdY/MYEhIiISG5GdQirLzZs38dlnn2HGjBlwc3PTOl4ikWhsFwShzL6yMIEhIiJ6gZVXYakOuVyO9957D82aNYO/v7/y9FFOTg4AoKCgANnZ2bCysoKZmRksLCzKrLIUFhbC3t6+Us9nAkNERCQ2BvAupPT0dFy7dg0A0L17d7X+kJAQhISEYM2aNRgxYgQcHR01HsUuLi5GdnY2vLy8KvV8JjBERERio8M9MPry8ssvIzQ0VK09KSkJq1atwrBhw+Dr64tWrVoBANzc3BAeHo6srCw0aNBAOf7atWsoKSmBh4dHpZ7PBIaIiEhsDGAPTJ06ddC1a1e1dgsLCwBA06ZNVfp9fHwQHh6O0NBQvPvuu8r20NBQmJqaar1n5t+YwBAREZHederUCQMGDMDu3buRlZWlfJVAbGwsgoKCuAeGiIjI4BlABaYq1q9fDycnJ0RHRyMmJgZNmzbF+++/j7Fjx1Z6LolQlVdAvoDyVk+s6RBqBYm1LcwDV6MwYjMUd/5QthtLvWDafRiMGjSBUJCD4stnIP/5O0BR8r/vNmoKsz6jYOzQClAIKL4pg/xUOITcxzXxU2qFxbuf1nQItYppXTN8enUPjIxVL0mXPy1CsMsEAEDLDq4Y8t5oOLRujvwn+bh8/Bxi1ofjaV5hTYRca32eEq7X+fM3TdPZXBZzv9DZXGLCCgw9NxKbBqg75j1I6lqqtBs7e6DOyDkovnQGRScPwaihPcxe94PEqh6Kjj7bICaxrg/zcYugyE7D0+idgIkZzHr7wXjsQhTsXmYQO/aJtHFo3RxGxkYIC9qM7HsPlO2lbwC2lzbFrH1LkXz+BkJnb0I9uwYYungcGjZtjF1TPqmpsIlqBBMYeg4kMPHoDrO+YzT2mnYdAsXfySiKCQEAKFKuQmJuDdNuQ1AUux+QF8HEqw9gWgeF4Z8BhXkAgKf5OTCfsATGTq+iJDnxuf0aIn1xaNMcxU/lkB07C0VxiVr/a8O6QRCA3YGfoij/WXXMyMQI/qunor5DQzxMzXzeIZO+vKBLSLrEBIb0zqhxU5h5T0LxbydRcusK6o5+V6X/6fe7AaN/vVe0pPhZm5EJgCLIzx9HyZ+/K5MX5RgAMOY/xvRicGjTAmk372lMXgDAxMwUCnkx5AVFyra87GeXhlnWs2YC8yIxgGPUNU2U/+a/fPkyLl26hNTUVOTn58PIyAjW1taws7ND27ZtK3RdMYmH4nEWCra/ByHnIYyauar1C4/+cbFRHXMYt3gVpp29UXLlV+Bp/rP2/Bwo8p/9ixrGpjCyaw6zgZOgyEpDSfKV5/AriPTPsU0LCAoBM79eCqfXpCguKobsaAKOrP4aT/MKkRB+El38+2D48on48fNvYfNyPQx8ZyRSr99G6vWUmg6f6LkSVQITHx+Pjz76CLdv30ZZe4slEglatWqFpUuXonPnzs85QqqSwjwI/6yclEFiXR8WczYDABQPM1D0U5TGceaBq2FkawdBXoSnh7cAJXKdhktUEyQSCexdmkIoUeDXdQfwny2H0czDGd7vvAm7Vg743P9DpN1MxfefHMDIDwPwesAgAEDWvQxs9vtApy//IxHgvj6tRJPAxMfHY8qUKXB0dERwcDDc3d3RqFEjWFhYQBAEFBQUICMjA5cvX8ahQ4cwZcoUhIaGokOHDjUdOumIUPQUBfvWQFLXAqZdh8A84EMU7F0JIfNvlXFPf9wDADD16IE6fvPw9PtdKLkSXxMhE+mOBPgiYB2ePHiEjKRn/8wnnbuOnAePMHFzEFx7tYVjmxYYsmAMftrzIy79eA5WDWwwIOhNzN6/DJtHfYCcTJ7Ie2EwIdVKNAnMli1b4OLigv379ytv8fs3JycndOrUCWPHjsW4ceOwefNm7Nu37zlHSnrzNB+K29cBACW3r8Ni1gaYdhyIoqNfqQxT3Lr6bPitq6hrbQuzHr4oYAJDBk5QCLiZcE2t/eqp3wEATd1a4o2Zw3A+6gwi3//f9e03E65hRdzn6BM4BNEf89+HVHsYaR/yfPzxxx8YNWpUmcnLP1laWsLf3x/Xr19/DpGRXkmMYNy6E4waN1dtL8yH4mEGJDa2AACj5q1h7Kz+ngzF/VvKMUSG7KXG9dFldB/Us1P959m0jhkAQCIB6ljUxa3fbqj052Q+RnpSKuyljs8tVtI/QaHQ2edFJZoExtraGunp6RUe/+DBA5iYiKaARFUlKGDW1x9mfUapNEtsGsCoYRMo0u8AAEw8eqDO0GmAWd1/DDKCkVMbKNLvPs+IifTCxMwUY9ZOQ9cxfVXavYZ0haJEgYsxvyLvYQ5adlDdCG9Z3xqNnOyRdfcB6AWiEHT3eUGJJgPo0aMH9uzZA09PT/Tq1avcsT///DPCwsLQr1+/5xQd6ZP8pyjUGTIVZoMCUHztLIys68G0uy+EglzIzx57NiYhBiauHVDXPxjyhBgAEph26A+jhg4oPLCuZn8AkQ5k3c3AuW9/Qr/pw1BcVIyUi3+hZQdX9J/pizNfH0dG8n0c3RgBv48CUJhbAFlMAixtrfHGTF8oFAqc2v1DTf8E0iVu4tVKNAnM/PnzcfnyZUyfPh3NmjVD27ZtYW9vD3Nzc0gkEhQUFCA9PR1XrlzBzZs34ejoqPI2SzJcxZfPQCgqhGnXwaj7ahdA/hTFSZchPx0B/PfotPAgFYVfr4Lp636oMzgQMDGB4t5fKNy7Goq/k2r4FxDpxsElu/Ag5T46vtkTA+aMwOO0bBzdFIETX3wHADiz9z8oeJKHPlMHo/PI15H7MAdJ5//Al4HrVW7uJaoNRPUupPz8fHz99df47rvvkJycrPEodYsWLTB48GC89dZbsLS01DBL1fBdSETq+C4kIs30/S6kvI/G6WwuyxX7dTaXmIimAgMAFhYWmDZtGqZNm4bc3Fykp6cjJycHCoUClpaWcHBwgJWVVU2HSUREpF8v8OZbXRFVAvNPVlZWTFaIiIhII9EmMERERLXWC3x6SFeYwBAREYkNTyFpJZp7YIiIiIgqihUYIiIiseESklZMYIiIiETmRX4FgK5wCYmIiIgMDiswREREYsMlJK2YwBAREYkNExitmMAQERGJDY9Ra8U9MERERGRwWIEhIiISGy4hacUEhoiISGQEJjBacQmJiIiIDA4rMERERGLDCoxWTGCIiIjEhjfxasUlJCIiIjI4rMAQERGJDZeQtGIFhoiISGwUgu4+OiKTydC6dWvIZDK1vsjISIwYMQIeHh7w9PTE2LFjERcXpzZOLpdj586d6N+/Pzw8PODt7Y19+/ZBECofJxMYIiIiKtedO3cQFBQEhYa9Obt27cLSpUtRp04dBAcHY9asWcjKysK0adNw5MgRlbHLly/Hxo0b4enpiaVLl8LJyQkrV67Epk2bKh0Tl5CIiIhEpioVCX05deoUFi1ahEePHqn1ZWZm4vPPP0enTp0QFhYGI6NndZHRo0dj6NChWLt2LQYPHgwTExPIZDJERUUhICAACxcuBAD4+/tj7ty5CLsHzTgAACAASURBVAkJgZ+fHxwdHSscFyswREREYiOSJaTg4GBMnz4dtra28PHxUes/d+4c5HI53nzzTWXyAgBWVlbo27cvHj58iOTkZABQVmMmTZqkMkdAQADkcjmOHj1aqdiYwBAREYmNSBKYmzdvIigoCEeOHIGTk5Naf+/evfH999+jd+/ean3Z2dkAAGNjYwDApUuX0LhxY9jZ2amMa9OmDYyNjXHp0qVKxcYlJCIiItIoIiICZmZmZfabm5tDKpWqtf/999+IjY1Fo0aNlIlPWloamjVrpjbWxMQEtra2SE1NrVRsTGCIiIhERpfvQurbt2+5/SdOnCizr7zkpSwFBQWYN28enj59ijlz5iiXlnJycmBubq7xO+bm5igoKKjUc5jAEBERiY2B3gOTm5uLGTNmQCaTYciQIfDz81Ppl0gkGr8nCEKZfWVhAkNERPQCK6/Cokvp6emYNm0arl+/jgEDBmDNmjUq/RYWFmVWWQoLC2Fvb1+p53ETLxERkdgodPh5Dm7evAl/f39cv34dfn5+2LhxI0xNTVXGODo6IiMjQ+27xcXFyM7OZgJDRERk6ASFoLOPviUlJWHChAm4f/8+Zs+ejVWrVilPHv2Tm5sbUlNTkZWVpdJ+7do1lJSUwMPDo1LPZQJDREREVVJQUIBZs2YhOzsbixcvRlBQUJljS++RCQ0NVWkPDQ2FqampxntmysM9MERERGJjIJt4Dx48iFu3bqF58+aoX78+oqOj1cb06NEDtra26NSpEwYMGIDdu3cjKysLXl5eiIuLQ2xsLIKCgiq9hMQEhoiISGye096V6oqPjwcA3L59GwsWLNA4Jjw8HLa2tgCA9evXw8nJCdHR0YiJiUHTpk3x/vvvY+zYsZV+tkQQ0wsXalDe6ok1HQKR6Cze/bSmQyASpc9TwvU6/yN/9Zttq6pe+CmdzSUmrMAQERGJzPPYfGvomMAQERGJjYEsIdUkJjBEREQiwwqMdjxGTURERAaHFRgiIiKx4RKSVkxgiIiIREZgAqMVl5CIiIjI4LACQ0REJDaswGjFBIaIiEhkuISkHZeQiIiIyOCwAkNERCQ2rMBoxQSGiIhIZLiEpB2XkIiIiMjgsAJDREQkMqzAaMcEhoiISGSYwGjHBIaIiEhsBElNRyB63ANDREREBocVGCIiIpHhEpJ2TGCIiIhERlBwCUkbLiERERGRwWEFhoiISGS4hKQdExgiIiKREXgKSSsuIREREZHBYQWGiIhIZLiEpB0TGCIiIpHhKSTtuIREREREBqdCFZgFCxZUaXKJRIJ169ZV6btERES1lSDUdATiV6EE5rvvvqvS5ExgiIiIKo9LSNpVKIHZu3evvuMgIiKi/2ICo12FEpiOHTvqOw4iIiKiCtPbJl6FQoEzZ87oa3oiIqIXliDo7vOiqvIx6v379+PIkSPIzs6GQqGA8N8/JUEQUFxcjJycHMjlcly/fl1nwRIREdUGYlxCkslkGDNmDL755hu0a9dOpS8hIQFbtmzB9evXYWZmht69e+Pdd99FgwYNVMbJ5XKEhITg8OHDSEtLg4ODA8aNG4dx48ZBIqncb65SAnP48GGsXLmy3DFWVlYYOnRoVaYnIiIiEblz5w6CgoKgUKjfsBcfH4+pU6eiVatWmDNnDh4/foywsDDIZDJERkbC0tJSOXb58uWIioqCr68vvLy8EBcXh5UrV+LBgweYN29epWKq0hLSoUOHYGpqii+//BKXL1+Gu7s7Ro8ejcuXLyMyMhLt2rVDcXEx3nrrrapMT0REVKsJgkRnn+o6deoU/Pz8kJGRoSFOAStXroSdnR3279+PyZMn45133sGmTZuQnJyscghIJpMhKioKAQEBWLduHfz9/bF9+3Z4e3sjJCQE9+7dq1RcVUpgbt68ib59+6J79+4wMzND27Ztcf78eZiZmcHNzQ1ffPEF6tati927d1dleiIiolpNUOjuUx3BwcGYPn06bG1t4ePjo9afmJiI5ORkjBw5ElZWVsr2Xr16wdnZGdHR0cq2I0eOAAAmTZqkMkdAQADkcjmOHj1aqdiqlMAUFhaiWbNmyr92cnJCSkoKioqKAAAvvfQS+vTpg0uXLlVleiIiIhKBmzdvIigoCEeOHIGTk5Nav0wmAwC0bdtWrc/d3R23bt1CTk4OAODSpUto3Lgx7OzsVMa1adMGxsbGlc4ZqrQHpn79+njy5Inyrx0dHaFQKHDr1i24uLgAABo2bIi0tLSqTE9ERFSrKXSw9KMLERERMDMzK7O/9L/z/05KAKBRo0YAgNTUVLi6uiItLU2l+FHKxMQEtra2SE1NrVRsVUpg2rZtixMnTmDu3LmoV68eXnnlFQiCgISEBGUCc+PGDZWNO0RERFQxuti7Uqpv377l9p84caLMvvKSFwDIzc0FAFhYWKj1mZubAwDy8/MBADk5Oco2TWMLCgrKfda/VSmBGT9+PE6cOIEhQ4Zg3bp16Nq1Kzw9PbFp0ybk5OQgMzMTP/30E3r37l2V6YmIiMgAlJ5K0nQEuvR6FSOj/+1WKeuotCAIz+cYdefOnbFy5Up8+umnyuxrwYIFCAgIwLZt2yAIAurVq1fpI1FERESk23tgyquwVFfpSoum6klhYSEAwNraGsCzKk1ZVZbCwkLY29tX6tlVvshu5MiR8PX1RUlJCQDA09MTx44dw/Hjx1G3bl307t0bL7/8clWnJyIiqrUM5QZdR0dHAEB6ejpatGih0peRkQGJRILGjRsrx2o6il1cXIzs7Gx4eXlV6tnVepWAiYkJ6tSpo/xrOzs7TJw4EaNGjWLyQkREVEWCQqKzjz65ubkBeHac+t8SExPh7OysPF7t5uaG1NRUZGVlqYy7du0aSkpK4OHhUalnV6kC8+uvv1Z4bJcuXaryCCIiIhK5du3awdHREeHh4RgzZoxySSkuLg5JSUkIDg5WjvXx8UF4eDhCQ0Px7rvvKttDQ0Nhamqq8Z6Z8lQpgXnrrbcqvNmG70IiIiKqHLEco9ZGIpFg6dKlmDVrFsaOHQt/f39kZmYiNDQUUqkU48aNU47t1KkTBgwYgN27dyMrK0v5KoHY2FgEBQU9nz0wvr6+GhOY/Px83L59G3/88Qc6duyIAQMGVGV6IiKiWk2Xx6j1rU+fPtixYwe2bduGtWvXwsbGBt7e3pg/f77adSrr16+Hk5MToqOjERMTg6ZNm+L999/H2LFjK/1ciSDofqvQ8ePHMX/+fOzYsQM9evTQ9fR6kbd6Yk2HQCQ6i3c/rekQiETp85Rwvc6f6DREZ3O53/peZ3OJSbU28Zalf//+6NWrF7Zv366P6YmIiF5ogqC7z4uqyseotWnZsiXi4+P1NT0REdELy1D2wNQkvVRgAODChQsqR6yJiIiIdKVKFZjIyEiN7YIgIC8vD6dPn4ZMJsOgQYOqFRwREVFtZEibeGtKlRKYZcuWlXuMWhAENGnSROX8NxEREVXMi7x3RVeqlMDMmjWrzATGzMwMLVu2xOuvvw4TE71tsSEiIqJaTC/HqA2RiZlDTYdAJDoFf5+p6RCIRMm0YUu9zn/B0Vdnc7W/d0Rnc4lJlTbxTpw4EUeOlP8HsnfvXl5kR0REVAWCINHZ50VVoTUeQRBQWqgRBAHnzp1Dx44doVAoNI4vLi7GhQsXcP/+fd1FSkREVEvwGLV2FUpgvvzyS3z22Wcqbdu2bcO2bdvK/Z6Li0vVIyMiIiIqQ4USmMmTJyM2NhaZmZkAgPv378PKygrW1tZqYyUSCUxMTNCkSROVt00SERFRxXBzqnYVSmBMTU1x6NAh5V+7urpi0qRJmD17tt4CIyIiqq24hKRdlc457927Fw4Omk/tPH36lDfwEhERkV5V6RRSx44dUVRUhHfeeQfffvutSl/Pnj0RFBSE9PR0nQRIRERU2/AUknZVqsCkpKRg9OjRePLkCVq1aqVsLygogJ2dHWJjYyGTyRAeHo4mTZroLFgiIqLaQPMZX/qnKlVgtmzZgry8PGzatAlBQUHKdnNzc0RHR2Pr1q3Izs7G5s2bdRYoERERUakqVWB+//13DBgwoMyL6vr164d+/frhzBne4klERFRZAl7cpR9dqVIC8/DhQ7z88svljmnSpAlycnKqFBQREVFtpuA5aq2qlMDY29vjt99+K3eMTCaDnZ1dlYIiIiKqzRSswGhVpT0wAwYMwJUrV7Bx40a11wkIgoCtW7dCJpPhjTfe0EmQRERERP9UpbdR5+Xl4c0338Tt27dRv359uLu7w8rKCrm5ubh69SqysrLQrFkzREREwMbGRh9x6xzfRk2kjm+jJtJM32+jPtHYX2dz9U0P19lcYlKlJSRLS0uEh4djw4YNOHr0KOLi4pR9ZmZm8PX1xXvvvWcwyQsREZGY8Bi1dlWqwPyTXC7H3bt38ejRI1haWsLJyQmmpqY4deoUDh48iF27dukqVr1iBYZIHSswRJrpuwITq8MKzBuswGhmamqKli2f/Y3MyMjA7t27ERkZibS0tGoHR0REVBvxGLV21U5gAOCXX37BwYMHcerUKZSUlEAQBDRs2BBvvvmmLqYnIiKqVbiEpF2VE5iHDx/i22+/xaFDh3D37l0AgEQiQc+ePeHn54fevXvD2NhYZ4ESERERlap0AnPhwgV88803iI2NhVwuhyAIaN68Oe7cuQM/Pz98+OGH+oiTiIio1mAFRrsKJTC5ubmIiopCeHg4kpKSIAgCbGxs4Ovri+HDh8PT0xOurq6QSLhmR0REVF3cA6NdhRKYHj16oLCwEGZmZujXrx98fHzQp08fmJmZ6Ts+IiIiIjUVSmAKCgpgYWGByZMno3///nB1ddV3XERERLWWggUYrSr0KoGgoCA0aNAA27dvx/Dhw9GrVy98+umnuHHjhr7jIyIiqnUUkOjs86KqUAIza9YsxMbGIiwsDIMHD8aTJ08QEhICX19f+Pr6IiQkRN9xEhER1RqCDj/VlZKSgjlz5qBjx45wd3fH0KFDERUVpTYuISEB48aNg5eXFzp37ozFixcjKytLBxFoVqlTSJ07d0bnzp2Rm5uLH374Ad9++y0SExNx48YNSCQSnD17Ft9//z369++POnXq6CtmIiIieg7u37+P0aNHo6CgABMmTIC9vT2+//57LFq0CFlZWZgyZQoAID4+HlOnTkWrVq0wZ84cPH78GGFhYZDJZIiMjISlpaXOY6v2qwSSkpIQGRmJ77//HpmZmZBIJLCwsIC3tzd8fX3Rvn17XcWqV3yVAJE6vkqASDN9v0rgsN1Ync01Iu1Alb+7bt06fPXVV9i0aRO8vb0BPHuF0PDhw3Hv3j38+uuvqFu3LgYNGoSioiJER0fDysoKABAXF4fAwEDMnTsXM2bM0Mlv+acKLSGVx9nZGQsXLkRcXBy2bt2KXr164enTp4iMjMTEiRN1ESMREVGtopBIdPapjpSUFABAr169lG2mpqbo3r07CgoKkJKSgsTERCQnJ2PkyJHK5KX0O87OzoiOjq5WDGWpdgJTytjYGP369cPOnTsRFxeH4OBgODk56Wp6IiIies5K33WYlJSk0n779m1IJBI0bNgQMpkMANC2bVu177u7u+PWrVvIycnReWw6eRfSvzVo0ABTp07F1KlT9TE9ERHRC00Xm29L9e3bt9z+EydOlNkXEBCA06dPY/HixVixYgXs7e0RExODkydPwt/fHy+//LLy5c12dnZq32/UqBEAIDU1VedXsOglgSEiIqKqE8urBBo0aIDZs2djyZIlmDBhgrK9f//+WLFiBYBnt/UDgIWFhdr3zc3NAQD5+fk6j40JDBER0QusvAqLNrt27cKGDRvg7OyMyZMn46WXXsLPP/+MiIgIzJo1C1u2bIFC8Szd0vQ6odJzQkZGOtuxosQEhoiISGTEcBNvbm4utm3bBgcHBxw6dEi5QXfAgAFo1qwZ1q9fj4iICOUR6YKCArU5CgsLAQDW1tY6j0/3KRERERFVixhu4r116xYKCwsxYMAAldNFAODv7w8A+PXXX+Ho6AgASE9PV5sjIyMDEokEjRs3rnIcZWECQ0RERGpKX9hcUlKi1le6NFRSUgI3NzcAQGJiotq4xMREODs7qyVAusAEhoiISGTE8CqBV155BU2aNEFMTIzaKwH27dsHAOjevTvatWsHR0dHhIeHIy8vTzkmLi4OSUlJGDZsWDWiKFu1b+J9UfAmXiJ1vImXSDN938S712G8zuaamLqvyt89c+YMZsyYAVtbW4wePRr169fH2bNncezYMbz22msICwuDmZkZTp48iVmzZkEqlcLf3x+ZmZkIDQ2Fo6MjDh48KM5XCbwomMAQqWMCQ6SZvhOYMB0mMJOrkcAAwOXLl7F9+3b89ttvKCgogIODAwYPHozAwECV9x6ePn0a27Ztw40bN2BjY4OePXti/vz5aNiwYXV/gkZMYP6LCQyROiYwRJrVpgRGrHiMmoiISGRYWdCOCQwREZHIiOEeGLHjKSQiIiIyOKzAEBERiYxY3oUkZkxgiIiIRIYJjHZcQiIiIiKDwwoMERGRyAjcxKsVExgiIiKR4RKSdlxCIiIiIoPDCgwREZHIsAKjHRMYIiIikeFNvNoxgSEiIhIZ3sSrHffAEBERkcFhBYaIiEhkuAdGOyYwREREIsMERjsuIREREZHBYQWGiIhIZHgKSTsmMERERCLDU0jacQmJiIiIDA4rMERERCLDTbzaMYEhIiISGe6B0Y5LSERERGRwWIEhIiISGQVrMFoxgSEiIhIZ7oHRjgkMERGRyLD+oh33wBAREZHBYQWGiIhIZLiEpB0TGCIiIpHhTbzacQmJiIiIDA4rMERERCLDY9TaMYEhIiISGaYv2nEJiYiIiMokl8uxa9cuDBw4EO7u7njjjTfw2WefIT8/X2VcQkICxo0bBy8vL3Tu3BmLFy9GVlaW3uJiBYaIiEhkxHQKad68eYiNjcXQoUMxefJkXLx4EV988QX+/PNP7NixAxKJBPHx8Zg6dSpatWqFOXPm4PHjxwgLC4NMJkNkZCQsLS11HhcTGCIiIpERyx6YmJgYxMbGYvr06Zg3bx4AYPTo0bC2tsbXX3+NixcvwtPTEytXroSdnR32798PKysrAEC7du0QGBiIvXv3YsaMGTqPjUtIREREpFF4eDjq16+PmTNnqrRPmDABM2bMgJmZGRITE5GcnIyRI0cqkxcA6NWrF5ydnREdHa2X2JjAEBERiYygw09VFRcX4+LFi+jUqRPq1KkDACgoKEBJSQmaN2+OuXPnws3NDTKZDADQtm1btTnc3d1x69Yt5OTkVCMSzbiEREREJDK63APTt2/fcvtPnDihsf3evXsoKiqCo6Mjjhw5gh07diAlJQVmZmYYOHAgli1bhpdeeglpaWkAADs7O7U5GjVqBABITU2Fq6trNX+JKiYwREREIiOGPTBPnjwBAJw8eRIHDhxAYGAgWrVqhbNnz2L//v1ISkrCwYMHkZubCwCwsLBQm8Pc3BwA1E4s6QITGCIiohdYWRUWbYqKigAAycnJCAsLQ5cuXQAAb7zxBurXr4/PP/8cUVFRUCie1YskEvX3HwjCs0TMyEj3O1a4B4aIiEhkxLAHprSi0rJlS2XyUmrUqFEAgPj4eOUR6YKCArU5CgsLAQDW1tbViEQzJjBEREQio9Dhp6pK97Q0bNhQrc/W1hYSiQS5ublwdHQEAKSnp6uNy8jIgEQiQePGjasRiWZMYIiIiEiNra0tHBwckJSUpFwmKnX37l0IggBHR0e4ubkBABITE9XmSExMhLOzs8rxal1hAkNERCQygg7/Vx2+vr7IysrCN998o9L+5ZdfAgC8vb3Rrl07ODo6Ijw8HHl5ecoxcXFxSEpKwrBhw6oVQ1m4iZeIiEhkxPIqgalTp+LUqVNYtWoVbty4gTZt2uDnn39GbGwshg0bhs6dOwMAli5dilmzZmHs2LHw9/dHZmYmQkNDIZVKMW7cOL3EJhFKtwjXciZmDjUdApHoFPx9pqZDIBIl04Yt9Tr/7Bb+Optra0p4tb6fm5uL7du349ixY3jw4AEcHBzg5+eHgIAAldNFp0+fxrZt23Djxg3Y2NigZ8+emD9/vsY9NLrABOa/mMAQqWMCQ6SZvhOYmS1G6Wyu7SmHdDaXmHAPDNU4R8cmyMy4hl49VY/pDR06AGcTjuHxw7+Q9NdZvL8iGKampjUUJZH+3E9/gC4DRuLc75eVbW7dvMv8vDV7ocZ5rv7xF9r1HIwjMbHPK3TSEzEcoxY77oGhGtWsmQOOxhxAvXovqbR7D+yDyENfImxPOJYs+RguLs5YvWox7OwaYcZMzf/yJjJEf6elY9q8ZcjJzVNp3//FZ2pj/y8uHqEHIuHn663WV1RUhKWrNqC4pERvsRKJCRMYqhESiQQTJ/jhk3UrNPYvXDAb58/LEDjtXQDAiZNn0LChLRYvmoPgdz9Afr76hUlEhkShUCD62P9h/dYvNfa3dWut8tf30zIQ+d0xjBkxBIP6va42fsvur5GTl6fWToZJDK8SEDsuIVGN8PBog21b1+DrryMw+a05av0BU+bhrbfnqrQVFclhbGzMZSR6Ifx58xZWrt+KYd79sGb5u1rHf7JlF+rWqYN3pk9S65NduY4Dkd9h2fxZ+giVaoAYLrITO1ZgqEbcuZMKl9bdkZp6X23vCwAkJ99W/t82Ntbo27cH5s+bhgPfROHx4yfPM1QivbC3a4Sj4SGwa/Syyt4XTS4mXkPs6V+wasl8WP332vZShU+fYumqDZg60R/SVk76DJmeo+re31IbMIGhGvHw4SM8fPhI67gmTexwJ+U3AM+Smo9WbtB3aETPxUs21njJpmLvhwk9EAkH+8YYPKCPWt9n27+ChXldTJngj/QHmboOk0i0uIREopaXl483+o/Cm35vIyv7Ic7+ehStW79S02ERPTf30x/g9M9nMX6UL0xMjFX6zv1+GZHfHcOqpcFqfWTYuISkHRMYErXHj5/g1OlfEB39I7wHjYVEIsE7c6bWdFhEz83/xf0CiQTw7tdLpT0/vwDLP/4MAeP84NyiGYqLS1Dy3xNICkGB4mKeRjJkYnmVgJiJbgnp8uXy14LL4uHhoeNIqKYYGxtjxAgf/PVXEmSyq8r2R48eIyn5Npo6NqnB6Iier7hfzuG1tu5oaFtfpf3KH38h9X46doYewM7QAyp9K9Zswoo1m3Dll2PPM1Si50p0Cczo0aNRlcuBr1+/rodoqCaUlJRg7cdL8eefSfD2Gatsb9q0CVq7voJtJ3k7LNUOgiDg6h9/YuybQ9X6XnVphYNfblZpy8zKxuyFH2JGwDj06trxeYVJevAiL/3oiugSmAMHDiAoKAiZmZkYNGgQnJy4q742+mjlBoR8uRE7d3yCiIjvYd+kMZYtmYusrIf4bOMXNR0e0XNxPz0DObl5cHZqptZnaWkBt9ZSlbbU++kAAAe7xmp9ZFgUfMuPVqJLYNq1a4f9+/dj1KhRuHHjBtasWQMzM7OaDouesz17DyE3Lx/vvTsTY0YPR35+AX78zyksXbYGDx5k1XR4RM9FVvazk3o21lY1HAmR+Ij2ZY6nTp3CjBkz8M4772DGjBl6fx5f5kikji9zJNJM3y9zHN98hM7m2nf7sM7mEhPRnkLq3bs3fHx8cPz4ccjl8poOh4iI6LlRQNDZ50UluiWkf9qwgZeWERERkTpRJzBERES10Yt8f4uuMIEhIiISGR6j1o4JDBERkci8yHtXdEW0m3iJiIiIysIKDBERkchwD4x2TGCIiIhEhntgtOMSEhERERkcVmCIiIhERqSX5IsKExgiIiKR4Skk7biERERERAaHFRgiIiKR4SZe7ZjAEBERiQyPUWvHJSQiIiIyOKzAEBERiQw38WrHBIaIiEhkeIxaOyYwREREIsNNvNpxDwwRERFpVVhYCG9vb/Tp00etLyEhAePGjYOXlxc6d+6MxYsXIysrS6/xMIEhIiISGUGH/9OVTz75BMnJyWrt8fHxePvtt5Gbm4s5c+ZgzJgx+PHHHzF+/Hjk5eXp7Pn/xiUkIiIikRHbJt4zZ87gwIEDMDU1VWkXBAErV66EnZ0d9u/fDysrKwBAu3btEBgYiL1792LGjBl6iYkVGCIiIirTo0ePsGTJEgwfPhyOjo4qfYmJiUhOTsbIkSOVyQsA9OrVC87OzoiOjtZbXExgiIiIREYQBJ19qmvFihUwNTXF0qVL1fpkMhkAoG3btmp97u7uuHXrFnJycqodgyZcQiIiIhIZXS4h9e3bt9z+EydOlNl35MgRHD9+HHv27FGpsJRKS0sDANjZ2an1NWrUCACQmpoKV1fXyoRcIazAEBERkZrU1FSsWrUKkyZNQqdOnTSOyc3NBQBYWFio9ZmbmwMA8vPz9RIfKzBEREQio8vTQ+VVWMqiUCiwaNEiNGrUCPPnzy93HABIJBK1vtLlKyMj/dRKmMAQERGJjKKGb+INDQ3FhQsXsGvXLuTl5SmPQysUCigUCmRnZ8PU1BSWlpYAgIKCArU5CgsLAQDW1tZ6iZEJDBEREak4ffo0FAoFpkyZorG/S5cu6NixI/r37w8ASE9PR4sWLVTGZGRkQCKRoHHjxnqJkQkMERGRyNT0LTALFy7EkydP1NqXLFkCuVyOTz/9FDY2NpDL5QCeHaf+9z6ZxMREODs7a9z8qwtMYIiIiESmpi+yc3Nz09het25dGBkZoWvXrgCe7XNxdHREeHg4xowZo1xSiouLQ1JSEoKDg/UWIxMYIiIikanpBKaiJBIJli5dilmzZmHs2LHw9/dHZmYmQkNDIZVKMW7cOL09m8eoiYiIqMr69OmDHTt2wMzMDGvXrsWhQ4fg7e2N0NBQZUVGHySCLq7pewGYmDnUdAhEolPw95maDoFIlEwbttTr/J2bvK6zuRL+Pq2zucSES0hEREQiYyhLSDWJfrP8FwAADd1JREFUS0hERERkcFiBISIiEhld3sT7omICQ0REJDLcnqodl5CIiIjI4LACQ0REJDLcxKsdExgiIiKR4RKSdlxCIiIiIoPDCgwREZHIcAlJOyYwREREIsNj1NoxgSEiIhIZBffAaMU9MERERGRwWIEhIiISGS4haccEhoiISGS4hKQdl5CIiIjI4LACQ0REJDJcQtKOCQwREZHIcAlJOy4hERERkcFhBYaIiEhkuISkHRMYIiIikeESknZcQiIiIiKDwwoMERGRyHAJSTsmMERERCIjCIqaDkH0mMAQERGJjIIVGK24B4aIiIgMDiswREREIiPwFJJWTGCIiIhEhktI2nEJiYiIiAwOKzBEREQiwyUk7ZjAEBERiQxv4tWOS0hERERkcFiBISIiEhkx3cR748YNbN26FefOnUNeXh7s7e3h4+ODmTNnwszMTDkuISEBW7ZswfXr12FmZobevXvj3XffRYMGDfQSFxMYIiIikRHLHpg7d+5gzJgxMDU1xdixY9GoUSMkJCRgx44duHz5MkJCQiCRSBAfH4+pU6eiVatWmDNnDh4/foywsDDIZDJERkbC0tJS57ExgSEiIiKNPv74YxQVFSEyMhItW7YEAIwZMwZr165FaGgoTpw4gb59+2LlypWws7PD/v37YWVlBQBo164dAgMDsXfvXsyYMUPnsXEPDBERkcgoIOjsU1UlJSU4d+4c2rdvr0xeSg0bNuz/27v7mCrr/4/jL9Bq3FljQSqgISWwOIDgsDtGAbPINnU2sLwZljU2ZS1vmo1/AprDqdNJZRlJEDDExsTZhk5l8g39IxUIJW1qlrMpYKIIx4Fxfn84zq/TQbEiruvC52M7f1zX5/O5rjd/8drn5hxJ0rFjx9TS0qJz587ptddec4YXSUpKSlJYWJhqamr+cQ13wwwMAAAmY4YlJE9PT9XU1Axay++//y5JGjNmjJqamiRJMTExbv1sNpt27dqlrq4u+fn5DWt9BBgAAExmOI9Rp6Sk3LX9wIEDg9738PBQSEjIoG0lJSWSpBkzZujIkSOSpPHjx7v1CwwMlCRdvHhRERER91zzvWAJCQAA3LPi4mIdOnRI8fHxSkxM1I0bNyRJ3t7ebn29vLwkST09PcNeBzMwAACYzHAuId1phuWfKC0t1bp16xQQEKCNGzdKkvr7+yXdnrH5q4G/w9Nz+OdLCDAAAJiM2X7M0eFwaMOGDSoqKlJAQIC++uorTZgwQZKcR6TtdrvbuJs3b0rSsO9/kVhCAgAAd9Hb26tVq1apqKhIkyZNUkVFhZ544glne3BwsCTp8uXLbmPb2trk4eGhxx57bNjrIsAAAGAyDodj2D7/xh9//KH33ntPe/bskc1m044dOzRp0iSXPlFRUZKklpYWt/EtLS0KCwtzOV49XAgwAACYTL/DMWyff6OwsFD79+9XXFycSkpK5O/v79YnNjZWwcHB2rFjh7q7u533Dx06pLNnzzq/M2a4eTjMcNjcBMY+GGR0CYDp2H/7n9ElAKb0wKNThu70L/h6hw7bs270/PyPxrW3tys5OVl9fX1auXKl80j0n4WGhio6OloHDx7UsmXLNHXqVGVkZKijo0PFxcUKDg5WZWUlPyUAAMD9wAw/5vj999+rt7dXkrRhw4ZB+2RkZCg6OlrJycnaunWrPvnkExUUFGjcuHFKS0vTihUr/pPwIjED48QMDOCOGRhgcP/1DIyX1+Rhe5bd/suwPctM2AMDAAAshyUkAABMhsWRoRFgAAAwGTPsgTE7AgwAACbDDMzQ2AMDAAAshxkYAABMhhmYoRFgAAAwGeLL0PgeGAAAYDnsgQEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgIEpdHR0KCcnR4mJiYqNjdX8+fPV0NBgdFmAaTQ1NSkyMlJNTU1GlwKYAgEGhuvu7taSJUu0Z88ezZ07V6tXr5bdbtfSpUv13XffGV0eYLhff/1V2dnZ6u/vN7oUwDTGGl0AUFZWpp9++kmfffaZXnzxRUnSnDlzNGfOHOXn56u2tlYeHh4GVwkYo66uTmvWrFFnZ6fRpQCmwgwMDFdTU6PJkyc7w4sk+fj4KD09XefPn1dzc7OB1QHGWblypbKysuTv769Zs2YZXQ5gKgQYGKqrq0vnzp1TdHS0W5vNZpMkAgzuW2fOnFF2drZ27dql0NBQo8sBTIUlJBjq8uXLcjgcmjBhgltbYGCgJOnixYsjXRZgCjt37tSDDz5odBmAKTEDA0N1dXVJkry8vNzavL29JUl2u31EawLMgvAC3BkBBoYaOFUx2CZdh8NxxzYAwP2NAAND+fj4SJJu3rzp1jYw8+Ln5zeiNQEAzI8AA0MFBwdLur0X5q/a2tokadD9MQCA+xsBBoby9fXV448/rpaWFre2gXuDnVACANzfCDAw3KuvvqozZ86ovr7eea+7u1tVVVUKCwtzHqcGAGAAx6hhuCVLlqimpkbvvvuuMjMzFRAQoKqqKv3222/64osv2MQLAHBDgIHhfH19VV5ervXr16u8vFx9fX2KiIjQl19+qaefftro8gAAJuThGDirCgAAYBHsgQEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEMUF1drfDwcLdPZGSkpk2bprS0NK1du1YdHR2G1LVp0ybnvTVr1ig8PFyHDx/+R8+8cuWKysvLh6tEF4PVC+D+wG8hAQaKiIhQamqq89rhcMhut6uxsVElJSXat2+fdu7cqYCAAMNqTE1NVVBQkEJCQv722CtXrmjmzJmaOnWqFixY8B9UB+B+RYABDBQZGans7OxB295//33V1NSosLBQeXl5I1zZ/0tNTXUJWX+H3W7XjRs3hrkiAGAJCTCtrKwsSVJdXZ3BlQCA+RBgAJOaOHGiJOnq1auSpEWLFmnatGlqbGxUWlqabDabZs2aJbvdLknq7OzUunXrlJqaqqioKD377LNasWKFzp49O+jzKysrNXv2bMXExOiFF17Qxx9/rFu3brn1u9MemF9++UU5OTlKSkpSdHS0XnrpJa1fv17Xr1+XJBUWFiolJUWSdPz4cYWHh6uwsNA5/r+qF8D9gSUkwKTOnz8vSRo/frzzXl9fn7KyshQXF6ekpCTdvHlTXl5eamtr0xtvvKELFy5oxowZmjlzptrb21VbW6u6ujoVFRUpPj7e+Zzc3FxVVFRowoQJmjdvnq5du6Zt27Zp3Lhx91RbY2Ojli5dqu7ubiUlJWnKlCk6ceKEioqKdOTIEZWVlSkhIUGLFy9WaWmp8z0JCQmSNOL1Ahh9CDCACd26dUubN2+WJL388svO+319fXr++ee1ceNGl/65ubm6cOGC8vPzlZ6e7rz/5ptvKiMjQ6tXr9a+ffs0duxYHT16VBUVFXrqqadUXFyshx9+WJJ04sQJLVq0aMjaHA6HPvjgA9ntdn366adKTk52tuXl5am8vFzV1dVauHChgoKCnAHmz3t9RrJeAKMTAQYw0I8//uiyrOJwOHT16lUdPnxY58+f15NPPuncCzMgLS3N5bqjo0MHDhyQzWZzCQPS7U3Cs2fPVlVVlRoaGpSUlKTdu3dLkpYvX+4MA5IUFRWl+fPna/v27Xet+YcfftDPP/+s1NRUl/Ai3d634+3trdDQ0DuOH+l6AYxOBBjAQKdOndKpU6ec156envLx8dHkyZOVnZ2tzMxM+fr6uowJDg52uT558qQcDod6e3tdwtCAS5cuSZJaW1uVlJSk1tZWSVJMTIxb3/j4+CEDwcD42NhYt7bAwECtWrXqruNHul4AoxMBBjDQ3LlzVVBQ8LfGeHl5uVxfu3ZNknT69GmdPn36juMG+nV1dUmS/Pz83Po88sgjQ76/s7PzjuPvxUjXC2B0IsAAFufj4yNJev311/Xhhx8O2X/gn/7169f16KOPurT19PTc8/sGgsVfdXd3O/uYoV4AoxPHqAGLi4yMlHR7b8pgvv32W23evNm5VGWz2SRJR48edevb3Nw85PsiIiLu+L7Ozk5Nnz5db731liTJw8PD8HoBjE4EGMDiJk6cqOeee04nT55USUmJS9u5c+eUm5urbdu2OffSzJs3T56entqyZYva29td+paVlQ35vvj4eIWEhOjgwYNqaGhwadu6dav6+/uVmJgoSRo79vYk75+/r2Wk6wUwOrGEBIwC+fn5WrBggdauXau9e/cqJiZGnZ2dqq2tVU9Pj3JycpybfyMjI7V8+XJt2bJFc+bMUUpKivr6+rR3714FBAQ497jcyZgxY1RQUKC3335bS5cuVUpKikJCQtTc3Kxjx44pISFBCxculCT5+/vroYceUmtrqz766CM988wzSklJGdF6AYxOzMAAo0BQUJCqq6uVmZmptrY2ff3116qvr1dcXJy2b9+uxYsXu/RftmyZNm3apIkTJ2r37t2qr69Xenq6cnJy7ul906dP1zfffKNXXnlFx48fV2lpqS5duqR33nlHn3/+uXPm5YEHHlBeXp4CAgJUWVmp/fv3G1IvgNHHw+FwOIwuAgAA4O9gBgYAAFgOAQYAAFgOAQYAAFgOAQYAAFgOAQYAAFgOAQYAAFgOAQYAAFgOAQYAAFgOAQYAAFgOAQYAAFgOAQYAAFgOAQYAAFjO/wFQWy/nwo4cNgAAAABJRU5ErkJggg==","text/plain":["<Figure size 640x480 with 2 Axes>"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["Classification Accuracy: 0.8121693121693122\n","Classification Error: 0.1878306878306878\n","False Positive Rate: 0.3036649214659686\n","Precision: 0.75\n","AUC Score: 0.8134081809782457\n","Cross-validated AUC: 0.8934280651104528\n","First 10 predicted responses:\n"," [1 0 0 0 1 1 0 1 1 1]\n","First 10 predicted probabilities of class members:\n"," [[0.2555794  0.7444206 ]\n"," [0.95069083 0.04930917]\n"," [0.93851009 0.06148991]\n"," [0.87096597 0.12903403]\n"," [0.40653554 0.59346446]\n"," [0.17282958 0.82717042]\n"," [0.89450448 0.10549552]\n"," [0.4065912  0.5934088 ]\n"," [0.20540631 0.79459369]\n"," [0.19337644 0.80662356]]\n","First 10 predicted probabilities:\n"," [[0.7444206 ]\n"," [0.04930917]\n"," [0.06148991]\n"," [0.12903403]\n"," [0.59346446]\n"," [0.82717042]\n"," [0.10549552]\n"," [0.5934088 ]\n"," [0.79459369]\n"," [0.80662356]]\n"]},{"data":{"image/png":"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","text/plain":["<Figure 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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["[[133  58]\n"," [ 13 174]]\n"]}],"source":["randomForest()"]},{"cell_type":"markdown","metadata":{"_cell_guid":"1c07c4f6-5897-4bf5-9f3a-2706430d2e2f","_uuid":"278639308461647ea1206a6d93efad39d699a8de"},"source":["<a id='Bagging'></a>\n","### Bagging"]},{"cell_type":"code","execution_count":125,"metadata":{"_cell_guid":"1782b0bb-eb0a-4741-b4f4-b2c9900970b2","_uuid":"50d47d51bb91989b421803dd5bb1b95022dd7c42","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[],"source":["def bagging():\n","    # Building and fitting \n","    bag = BaggingClassifier(DecisionTreeClassifier(), max_samples=1.0, max_features=1.0, bootstrap_features=False)\n","    bag.fit(X_train, y_train)\n","    \n","    # make class predictions for the testing set\n","    y_pred_class = bag.predict(X_test)\n","    \n","    print('########### Bagging ###############')\n","    \n","    accuracy_score = evalClassModel(bag, y_test, y_pred_class, True)\n","\n","    #Data for final graph\n","    methodDict['Bagging'] = accuracy_score * 100"]},{"cell_type":"code","execution_count":126,"metadata":{"_cell_guid":"de06cee0-9024-4a22-80e3-f6cd9c8aee0a","_uuid":"4fcc753e51ab46cf492ed7202d23bfcfac1c608a","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["########### Bagging ###############\n","Accuracy: 0.7671957671957672\n","Null accuracy:\n"," 0    191\n","1    187\n","Name: treatment, dtype: int64\n","Percentage of ones: 0.4947089947089947\n","Percentage of zeros: 0.5052910052910053\n","True: [0 0 0 0 0 0 0 0 1 1 0 1 1 0 1 1 0 1 0 0 0 1 1 0 0]\n","Pred: [1 0 0 0 0 1 0 1 1 1 0 1 1 1 1 1 0 1 0 0 0 0 1 0 0]\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 2 Axes>"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["Classification Accuracy: 0.7671957671957672\n","Classification Error: 0.2328042328042328\n","False Positive Rate: 0.25654450261780104\n","Precision: 0.751269035532995\n","AUC Score: 0.7674496738247893\n","Cross-validated AUC: 0.8456910194633409\n","First 10 predicted responses:\n"," [1 0 0 0 0 1 0 1 1 1]\n","First 10 predicted probabilities of class members:\n"," [[0.385 0.615]\n"," [1.    0.   ]\n"," [1.    0.   ]\n"," [0.8   0.2  ]\n"," [0.6   0.4  ]\n"," [0.2   0.8  ]\n"," [0.8   0.2  ]\n"," [0.3   0.7  ]\n"," [0.2   0.8  ]\n"," [0.2   0.8  ]]\n","First 10 predicted probabilities:\n"," [[0.615]\n"," [0.   ]\n"," [0.   ]\n"," [0.2  ]\n"," [0.4  ]\n"," [0.8  ]\n"," [0.2  ]\n"," [0.7  ]\n"," [0.8  ]\n"," [0.8  ]]\n"]},{"data":{"image/png":"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","text/plain":["<Figure 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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["[[142  49]\n"," [ 39 148]]\n"]}],"source":["bagging()"]},{"cell_type":"markdown","metadata":{"_cell_guid":"8611c537-e9c9-4412-b513-8b0cf441ed05","_uuid":"f99aa0dab6830aa2857d6003eef19ca2fbd754aa"},"source":["<a id='Boosting'></a>\n","### Boosting"]},{"cell_type":"code","execution_count":127,"metadata":{"_cell_guid":"b23c5f32-f61d-4391-a3b8-8a989bc8ce54","_uuid":"6a7d03cd950cf99d5f6ea5d7bad0dceed2508a49","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[],"source":["def boosting():\n","    # Building and fitting \n","    clf = DecisionTreeClassifier(criterion='entropy', max_depth=1)\n","    boost = AdaBoostClassifier(base_estimator=clf, n_estimators=500)\n","    boost.fit(X_train, y_train)\n","    \n","    # make class predictions for the testing set\n","    y_pred_class = boost.predict(X_test)\n","    \n","    print('########### Boosting ###############')\n","    \n","    accuracy_score = evalClassModel(boost, y_test, y_pred_class, True)\n","\n","    #Data for final graph\n","    methodDict['Boosting'] = accuracy_score * 100"]},{"cell_type":"code","execution_count":128,"metadata":{"_cell_guid":"4415545b-a6ef-40cd-8583-ecb036b82db3","_uuid":"7c2ee5da9f1d4708b6a73071c538760964188d97","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["########### Boosting ###############\n","Accuracy: 0.8174603174603174\n","Null accuracy:\n"," 0    191\n","1    187\n","Name: treatment, dtype: int64\n","Percentage of ones: 0.4947089947089947\n","Percentage of zeros: 0.5052910052910053\n","True: [0 0 0 0 0 0 0 0 1 1 0 1 1 0 1 1 0 1 0 0 0 1 1 0 0]\n","Pred: [1 0 0 0 0 1 0 1 1 1 0 1 1 0 1 1 1 1 0 0 0 0 1 0 0]\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 2 Axes>"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["Classification Accuracy: 0.8174603174603174\n","Classification Error: 0.18253968253968256\n","False Positive Rate: 0.28272251308900526\n","Precision: 0.7610619469026548\n","AUC Score: 0.8185317915838397\n","Cross-validated AUC: 0.8746279095195426\n","First 10 predicted responses:\n"," [1 0 0 0 0 1 0 1 1 1]\n","First 10 predicted probabilities of class members:\n"," [[0.49924555 0.50075445]\n"," [0.50285507 0.49714493]\n"," [0.50291786 0.49708214]\n"," [0.50127788 0.49872212]\n"," [0.50013552 0.49986448]\n"," [0.49796157 0.50203843]\n"," [0.50046371 0.49953629]\n"," [0.49939483 0.50060517]\n"," [0.49921757 0.50078243]\n"," [0.49897133 0.50102867]]\n","First 10 predicted probabilities:\n"," [[0.50075445]\n"," [0.49714493]\n"," [0.49708214]\n"," [0.49872212]\n"," [0.49986448]\n"," [0.50203843]\n"," [0.49953629]\n"," [0.50060517]\n"," [0.50078243]\n"," [0.50102867]]\n"]},{"data":{"image/png":"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","text/plain":["<Figure 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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["[[137  54]\n"," [ 15 172]]\n"]}],"source":["boosting()"]},{"cell_type":"markdown","metadata":{"_cell_guid":"615c515b-b3f3-4178-a5da-6ce2582b8d23","_uuid":"7b2789cfb8a1b1afc4426883f2664016db3aaf61"},"source":["<a id='Stacking'></a>\n","### Stacking"]},{"cell_type":"code","execution_count":129,"metadata":{"_cell_guid":"a763ed38-22a7-4b50-bee4-db11b9bf6575","_uuid":"cf645152f925cd1d5c0c79f3b46e7006ff6bbc92","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[],"source":["def stacking():\n","    # Building and fitting \n","    clf1 = KNeighborsClassifier(n_neighbors=1)\n","    clf2 = RandomForestClassifier(random_state=1)\n","    clf3 = GaussianNB()\n","    lr = LogisticRegression()\n","    stack = StackingClassifier(classifiers=[clf1, clf2, clf3], meta_classifier=lr)\n","    stack.fit(X_train, y_train)\n","    \n","    # make class predictions for the testing set\n","    y_pred_class = stack.predict(X_test)\n","    \n","    print('########### Stacking ###############')\n","    \n","    accuracy_score = evalClassModel(stack, y_test, y_pred_class, True)\n","\n","    #Data for final graph\n","    methodDict['Stacking'] = accuracy_score * 100\n","    \n"]},{"cell_type":"code","execution_count":130,"metadata":{"_cell_guid":"37b8048f-a189-48f4-b855-4099debae483","_uuid":"49178159638a6c10b86342dccc110656a70c9670","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["########### Stacking ###############\n","Accuracy: 0.8201058201058201\n","Null accuracy:\n"," 0    191\n","1    187\n","Name: treatment, dtype: int64\n","Percentage of ones: 0.4947089947089947\n","Percentage of zeros: 0.5052910052910053\n","True: [0 0 0 0 0 0 0 0 1 1 0 1 1 0 1 1 0 1 0 0 0 1 1 0 0]\n","Pred: [1 0 0 0 0 1 0 0 1 1 0 1 1 1 1 1 0 1 0 0 0 0 1 0 0]\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 2 Axes>"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["Classification Accuracy: 0.8201058201058201\n","Classification Error: 0.17989417989417988\n","False Positive Rate: 0.2094240837696335\n","Precision: 0.7989949748743719\n","AUC Score: 0.8204216479547554\n","Cross-validated AUC: 0.8431811731188892\n","First 10 predicted responses:\n"," [1 0 0 0 0 1 0 0 1 1]\n","First 10 predicted probabilities of class members:\n"," [[0.01710346 0.98289654]\n"," [0.98675465 0.01324535]\n"," [0.98675465 0.01324535]\n"," [0.98675465 0.01324535]\n"," [0.98675465 0.01324535]\n"," [0.01710346 0.98289654]\n"," [0.98675465 0.01324535]\n"," [0.97307936 0.02692064]\n"," [0.03462234 0.96537766]\n"," [0.01710346 0.98289654]]\n","First 10 predicted probabilities:\n"," [[0.98289654]\n"," [0.01324535]\n"," [0.01324535]\n"," [0.01324535]\n"," [0.01324535]\n"," [0.98289654]\n"," [0.01324535]\n"," [0.02692064]\n"," [0.96537766]\n"," [0.98289654]]\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"name":"stdout","output_type":"stream","text":["[[151  40]\n"," [ 28 159]]\n"]}],"source":["stacking()"]},{"cell_type":"markdown","metadata":{"_uuid":"87e8181f247c4dd00dd8b2caf65ebe5b76367719"},"source":["<a id='Predicting_with_Neural_Network'></a>\n","## **9. Predicting with Neural Network**\n"]},{"cell_type":"markdown","metadata":{"_uuid":"ee05c058a7e73956696bead61f457ee04f39a004"},"source":["### Create input functions\n","You must create input functions to supply data for training, evaluating, and prediction."]},{"cell_type":"code","execution_count":132,"metadata":{"_uuid":"3c532804f31ae661e5cf820406e4eee58679dcc6","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[],"source":["import tensorflow as tf\n","import argparse\n","\n","\n","batch_size = 100\n","train_steps = 1000\n","\n","X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.30, random_state=0)\n","\n","def train_input_fn(features, labels, batch_size):\n","    \"\"\"An input function for training\"\"\"\n","    # Convert the inputs to a Dataset.\n","    dataset = tf.data.Dataset.from_tensor_slices((dict(features), labels))\n","\n","    # Shuffle, repeat, and batch the examples.\n","    return dataset.shuffle(1000).repeat().batch(batch_size)\n","\n","def eval_input_fn(features, labels, batch_size):\n","    \"\"\"An input function for evaluation or prediction\"\"\"\n","    features=dict(features)\n","    if labels is None:\n","        # No labels, use only features.\n","        inputs = features\n","    else:\n","        inputs = (features, labels)\n","\n","    # Convert the inputs to a Dataset.\n","    dataset = tf.data.Dataset.from_tensor_slices(inputs)\n","\n","    # Batch the examples\n","    assert batch_size is not None, \"batch_size must not be None\"\n","    dataset = dataset.batch(batch_size)\n","\n","    # Return the dataset.\n","    return dataset\n","\n"]},{"cell_type":"markdown","metadata":{"_uuid":"7540da5ccf242c31fae61193422a50c4132fb7cd"},"source":["### Define the feature columns\n","A feature column is an object describing how the model should use raw input data from the features dictionary. When you build an Estimator model, you pass it a list of feature columns that describes each of the features you want the model to use."]},{"cell_type":"code","execution_count":133,"metadata":{"_uuid":"4b51ea10c5fc254910a46910db0fb76b27150b24","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["WARNING:tensorflow:From C:\\Users\\puran\\AppData\\Local\\Temp\\ipykernel_20412\\3225071575.py:2: numeric_column (from tensorflow.python.feature_column.feature_column_v2) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use Keras preprocessing layers instead, either directly or via the `tf.keras.utils.FeatureSpace` utility. Each of `tf.feature_column.*` has a functional equivalent in `tf.keras.layers` for feature preprocessing when training a Keras model.\n"]}],"source":["# Define Tensorflow feature columns\n","age = tf.feature_column.numeric_column(\"Age\")\n","gender = tf.feature_column.numeric_column(\"Gender\")\n","family_history = tf.feature_column.numeric_column(\"family_history\")\n","benefits = tf.feature_column.numeric_column(\"benefits\")\n","care_options = tf.feature_column.numeric_column(\"care_options\")\n","anonymity = tf.feature_column.numeric_column(\"anonymity\")\n","leave = tf.feature_column.numeric_column(\"leave\")\n","work_interfere = tf.feature_column.numeric_column(\"work_interfere\")\n","feature_columns = [age, gender, family_history, benefits, care_options, anonymity, leave, work_interfere]\n"]},{"cell_type":"markdown","metadata":{"_uuid":"0ec5458a421476ca5b77b77d67e5d7dbd406090f"},"source":["### Instantiate an Estimator\n","Our problem is a classic classification problem. We want to predict whether a patient has to be treated or not. We'll use tf.estimator.DNNClassifier for deep models that perform multi-class classification."]},{"cell_type":"code","execution_count":147,"metadata":{"_uuid":"605d76f9ecf1e3a87332633a0b84c68b04024494","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["INFO:tensorflow:Using default config.\n","WARNING:tensorflow:Using temporary folder as model directory: C:\\Users\\puran\\AppData\\Local\\Temp\\tmpzxdwhcif\n","INFO:tensorflow:Using config: {'_model_dir': 'C:\\\\Users\\\\puran\\\\AppData\\\\Local\\\\Temp\\\\tmpzxdwhcif', '_tf_random_seed': None, '_save_summary_steps': 100, '_save_checkpoints_steps': None, '_save_checkpoints_secs': 600, '_session_config': allow_soft_placement: true\n","graph_options {\n","  rewrite_options {\n","    meta_optimizer_iterations: ONE\n","  }\n","}\n",", '_keep_checkpoint_max': 5, '_keep_checkpoint_every_n_hours': 10000, '_log_step_count_steps': 100, '_train_distribute': None, '_device_fn': None, '_protocol': None, '_eval_distribute': None, '_experimental_distribute': None, '_experimental_max_worker_delay_secs': None, '_session_creation_timeout_secs': 7200, '_checkpoint_save_graph_def': True, '_service': None, '_cluster_spec': ClusterSpec({}), '_task_type': 'worker', '_task_id': 0, '_global_id_in_cluster': 0, '_master': '', '_evaluation_master': '', '_is_chief': True, '_num_ps_replicas': 0, '_num_worker_replicas': 1}\n"]}],"source":["# Build a DNN with 2 hidden layers and 10 nodes in each hidden layer.\n","model = tf.estimator.DNNClassifier(feature_columns=feature_columns,\n","                                    hidden_units=[10, 10],\n","                                    optimizer=tf.keras.optimizers.legacy.Adagrad(learning_rate=0.1, decay=0.001))"]},{"cell_type":"markdown","metadata":{"_uuid":"294ab3369fd6ddee67b62b402ebe707001010466"},"source":["### Train, Evaluate, and Predict\n","Now that we have an Estimator object, we can call methods to do the following:\n","\n","* Train the model.\n","* Evaluate the trained model.\n","* Use the trained model to make predictions.\n"]},{"cell_type":"markdown","metadata":{"_uuid":"4fcb1a081143098bce426cc496167f024c432350"},"source":["#### Train the model\n","The steps argument tells the method to stop training after a number of training steps."]},{"cell_type":"code","execution_count":148,"metadata":{"_uuid":"805f28d819c59eee02123b11eff66d812d392188","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["INFO:tensorflow:Calling model_fn.\n","WARNING:tensorflow:From y:\\Anaconda\\envs\\StrokePredictionModel\\lib\\site-packages\\keras\\optimizers\\legacy\\adagrad.py:93: calling Constant.__init__ (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Call initializer instance with the dtype argument instead of passing it to the constructor\n","WARNING:tensorflow:From y:\\Anaconda\\envs\\StrokePredictionModel\\lib\\site-packages\\tensorflow_estimator\\python\\estimator\\model_fn.py:250: EstimatorSpec.__new__ (from tensorflow_estimator.python.estimator.model_fn) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use tf.keras instead.\n","INFO:tensorflow:Done calling model_fn.\n","WARNING:tensorflow:From y:\\Anaconda\\envs\\StrokePredictionModel\\lib\\site-packages\\tensorflow_estimator\\python\\estimator\\estimator.py:1414: NanTensorHook.__init__ (from tensorflow.python.training.basic_session_run_hooks) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use tf.keras instead.\n","WARNING:tensorflow:From y:\\Anaconda\\envs\\StrokePredictionModel\\lib\\site-packages\\tensorflow_estimator\\python\\estimator\\estimator.py:1417: LoggingTensorHook.__init__ (from tensorflow.python.training.basic_session_run_hooks) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use tf.keras instead.\n","WARNING:tensorflow:From y:\\Anaconda\\envs\\StrokePredictionModel\\lib\\site-packages\\tensorflow\\python\\training\\basic_session_run_hooks.py:232: SecondOrStepTimer.__init__ (from tensorflow.python.training.basic_session_run_hooks) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use tf.keras instead.\n","WARNING:tensorflow:From y:\\Anaconda\\envs\\StrokePredictionModel\\lib\\site-packages\\tensorflow_estimator\\python\\estimator\\estimator.py:1454: CheckpointSaverHook.__init__ (from tensorflow.python.training.basic_session_run_hooks) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use tf.keras instead.\n","INFO:tensorflow:Create CheckpointSaverHook.\n","WARNING:tensorflow:From y:\\Anaconda\\envs\\StrokePredictionModel\\lib\\site-packages\\tensorflow\\python\\training\\monitored_session.py:579: StepCounterHook.__init__ (from tensorflow.python.training.basic_session_run_hooks) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use tf.keras instead.\n","WARNING:tensorflow:From y:\\Anaconda\\envs\\StrokePredictionModel\\lib\\site-packages\\tensorflow\\python\\training\\monitored_session.py:586: SummarySaverHook.__init__ (from tensorflow.python.training.basic_session_run_hooks) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use tf.keras instead.\n","INFO:tensorflow:Graph was finalized.\n","INFO:tensorflow:Running local_init_op.\n","INFO:tensorflow:Done running local_init_op.\n","INFO:tensorflow:Calling checkpoint listeners before saving checkpoint 0...\n","INFO:tensorflow:Saving checkpoints for 0 into C:\\Users\\puran\\AppData\\Local\\Temp\\tmpzxdwhcif\\model.ckpt.\n","INFO:tensorflow:Calling checkpoint listeners after saving checkpoint 0...\n","WARNING:tensorflow:From y:\\Anaconda\\envs\\StrokePredictionModel\\lib\\site-packages\\tensorflow\\python\\training\\monitored_session.py:1455: SessionRunArgs.__new__ (from tensorflow.python.training.session_run_hook) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use tf.keras instead.\n","WARNING:tensorflow:From y:\\Anaconda\\envs\\StrokePredictionModel\\lib\\site-packages\\tensorflow\\python\\training\\monitored_session.py:1454: SessionRunContext.__init__ (from tensorflow.python.training.session_run_hook) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use tf.keras instead.\n","WARNING:tensorflow:From y:\\Anaconda\\envs\\StrokePredictionModel\\lib\\site-packages\\tensorflow\\python\\training\\monitored_session.py:1474: SessionRunValues.__new__ (from tensorflow.python.training.session_run_hook) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use tf.keras instead.\n","INFO:tensorflow:loss = 0.7750711, step = 0\n","INFO:tensorflow:global_step/sec: 127.227\n","INFO:tensorflow:loss = 0.40610826, step = 100 (0.789 sec)\n","INFO:tensorflow:global_step/sec: 328.947\n","INFO:tensorflow:loss = 0.34490243, step = 200 (0.303 sec)\n","INFO:tensorflow:global_step/sec: 357.148\n","INFO:tensorflow:loss = 0.39927828, step = 300 (0.278 sec)\n","INFO:tensorflow:global_step/sec: 354.609\n","INFO:tensorflow:loss = 0.33172143, step = 400 (0.290 sec)\n","INFO:tensorflow:global_step/sec: 346.023\n","INFO:tensorflow:loss = 0.3397673, step = 500 (0.281 sec)\n","INFO:tensorflow:global_step/sec: 456.62\n","INFO:tensorflow:loss = 0.42048493, step = 600 (0.222 sec)\n","INFO:tensorflow:global_step/sec: 411.523\n","INFO:tensorflow:loss = 0.32625598, step = 700 (0.242 sec)\n","INFO:tensorflow:global_step/sec: 440.531\n","INFO:tensorflow:loss = 0.37452662, step = 800 (0.226 sec)\n","INFO:tensorflow:global_step/sec: 425.526\n","INFO:tensorflow:loss = 0.4125634, step = 900 (0.235 sec)\n","INFO:tensorflow:Calling checkpoint listeners before saving checkpoint 1000...\n","INFO:tensorflow:Saving checkpoints for 1000 into C:\\Users\\puran\\AppData\\Local\\Temp\\tmpzxdwhcif\\model.ckpt.\n","INFO:tensorflow:Calling checkpoint listeners after saving checkpoint 1000...\n","INFO:tensorflow:Loss for final step: 0.34743762.\n"]},{"data":{"text/plain":["<tensorflow_estimator.python.estimator.canned.dnn.DNNClassifierV2 at 0x2f77ae0ad00>"]},"execution_count":148,"metadata":{},"output_type":"execute_result"}],"source":["model.train(input_fn=lambda:train_input_fn(X_train, y_train, batch_size), steps=train_steps)"]},{"cell_type":"markdown","metadata":{"_uuid":"a4e82a5b76e6d0a89d21187413ed1574788fbe5a"},"source":["### Evaluate the trained model\n","Now that the model has been trained, we can get some statistics on its performance. The following code block evaluates the accuracy of the trained model on the test data."]},{"cell_type":"code","execution_count":149,"metadata":{"_uuid":"2b99faa167137ef3e90c7ebb9cd093837e8d4ef5","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["INFO:tensorflow:Calling model_fn.\n","INFO:tensorflow:Done calling model_fn.\n","INFO:tensorflow:Starting evaluation at 2022-12-16T18:37:47\n","WARNING:tensorflow:From y:\\Anaconda\\envs\\StrokePredictionModel\\lib\\site-packages\\tensorflow\\python\\training\\evaluation.py:260: FinalOpsHook.__init__ (from tensorflow.python.training.basic_session_run_hooks) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use tf.keras instead.\n","INFO:tensorflow:Graph was finalized.\n","INFO:tensorflow:Restoring parameters from C:\\Users\\puran\\AppData\\Local\\Temp\\tmpzxdwhcif\\model.ckpt-1000\n","INFO:tensorflow:Running local_init_op.\n","INFO:tensorflow:Done running local_init_op.\n","INFO:tensorflow:Inference Time : 6.38700s\n","INFO:tensorflow:Finished evaluation at 2022-12-16-18:37:54\n","INFO:tensorflow:Saving dict for global step 1000: accuracy = 0.8068783, accuracy_baseline = 0.505291, auc = 0.8851108, auc_precision_recall = 0.850176, average_loss = 0.4337394, global_step = 1000, label/mean = 0.49470899, loss = 0.43456596, precision = 0.75, prediction/mean = 0.50710773, recall = 0.9144385\n","INFO:tensorflow:Saving 'checkpoint_path' summary for global step 1000: C:\\Users\\puran\\AppData\\Local\\Temp\\tmpzxdwhcif\\model.ckpt-1000\n","\n","Test set accuracy: 0.81\n","\n"]}],"source":["# Evaluate the model.\n","eval_result = model.evaluate(\n","    input_fn=lambda:eval_input_fn(X_test, y_test, batch_size))\n","\n","print('\\nTest set accuracy: {accuracy:0.2f}\\n'.format(**eval_result))\n","\n","#Data for final graph\n","accuracy = eval_result['accuracy'] * 100\n","methodDict['NN DNNClasif.'] = accuracy"]},{"cell_type":"markdown","metadata":{"_uuid":"de375081922a83052d997ce836c31884ce44efd7"},"source":["### Making predictions (inferring) from the trained model\n","We now have a trained model that produces good evaluation results. We can now use the trained model to predict whether a patient needs treatment or not."]},{"cell_type":"code","execution_count":150,"metadata":{"_uuid":"a72f2f39e610a12fea7f542fa4cccec9ca17544a","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["INFO:tensorflow:Calling model_fn.\n","WARNING:tensorflow:From y:\\Anaconda\\envs\\StrokePredictionModel\\lib\\site-packages\\tensorflow_estimator\\python\\estimator\\head\\base_head.py:786: ClassificationOutput.__init__ (from tensorflow.python.saved_model.model_utils.export_output) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use tf.keras instead.\n","WARNING:tensorflow:From y:\\Anaconda\\envs\\StrokePredictionModel\\lib\\site-packages\\tensorflow_estimator\\python\\estimator\\head\\binary_class_head.py:561: RegressionOutput.__init__ (from tensorflow.python.saved_model.model_utils.export_output) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use tf.keras instead.\n","WARNING:tensorflow:From y:\\Anaconda\\envs\\StrokePredictionModel\\lib\\site-packages\\tensorflow_estimator\\python\\estimator\\head\\binary_class_head.py:563: PredictOutput.__init__ (from tensorflow.python.saved_model.model_utils.export_output) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use tf.keras instead.\n","INFO:tensorflow:Done calling model_fn.\n","INFO:tensorflow:Graph was finalized.\n","INFO:tensorflow:Restoring parameters from C:\\Users\\puran\\AppData\\Local\\Temp\\tmpzxdwhcif\\model.ckpt-1000\n","INFO:tensorflow:Running local_init_op.\n","INFO:tensorflow:Done running local_init_op.\n"]}],"source":["predictions = list(model.predict(input_fn=lambda:eval_input_fn(X_train, y_train, batch_size=batch_size)))"]},{"cell_type":"code","execution_count":151,"metadata":{"_uuid":"e078018202e2a75c3cace605d815be5435798682","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>index</th>\n","      <th>prediction</th>\n","      <th>expected</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>929</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>901</td>\n","      <td>1</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>579</td>\n","      <td>1</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>367</td>\n","      <td>1</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>615</td>\n","      <td>1</td>\n","      <td>1</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   index  prediction  expected\n","0    929           0         0\n","1    901           1         1\n","2    579           1         1\n","3    367           1         1\n","4    615           1         1"]},"execution_count":151,"metadata":{},"output_type":"execute_result"}],"source":["# Generate predictions from the model\n","template = ('\\nIndex: \"{}\", Prediction is \"{}\" ({:.1f}%), expected \"{}\"')\n","\n","# Dictionary for predictions\n","col1 = []\n","col2 = []\n","col3 = []\n","\n","\n","for idx, input, p in zip(X_train.index, y_train, predictions):\n","    v  = p[\"class_ids\"][0] \n","    class_id = p['class_ids'][0]\n","    probability = p['probabilities'][class_id] # Probability\n","    \n","    # Adding to dataframe\n","    col1.append(idx) # Index\n","    col2.append(v) # Prediction\n","    col3.append(input) # Expecter\n","    \n","   \n","    #print(template.format(idx, v, 100 * probability, input))\n","\n","\n","results = pd.DataFrame({'index':col1, 'prediction':col2, 'expected':col3})\n","results.head()"]},{"cell_type":"markdown","metadata":{"_cell_guid":"83d68dc1-1929-4069-8b9f-2b1b0768840d","_uuid":"289d8b5896d20f5859307e07c509c92151b4e942"},"source":["<a id='Success_method_plot'></a>\n","## **10. Success method plot**"]},{"cell_type":"code","execution_count":152,"metadata":{"_cell_guid":"ff9279ed-3a53-47ef-8d69-b9c013c73ba0","_uuid":"67df920b185fcf2a8941369bb91c8975d0c8ce10","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[],"source":["def plotSuccess():\n","    s = pd.Series(methodDict)\n","    s = s.sort_values(ascending=False)\n","    plt.figure(figsize=(12,8))\n","    #Colors\n","    ax = s.plot(kind='bar') \n","    for p in ax.patches:\n","        ax.annotate(str(round(p.get_height(),2)), (p.get_x() * 1.005, p.get_height() * 1.005))\n","    plt.ylim([70.0, 90.0])\n","    plt.xlabel('Method')\n","    plt.ylabel('Percentage')\n","    plt.title('Success of methods')\n","     \n","    plt.show()"]},{"cell_type":"code","execution_count":153,"metadata":{"_cell_guid":"3672320b-e060-45e4-b481-029ad98feb58","_uuid":"26d24346015d93adf6c4fa9d384f480b7b391584","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1200x800 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plotSuccess()"]},{"cell_type":"markdown","metadata":{"_cell_guid":"05e05c13-6e1f-4900-b147-844cf49cdb41","_uuid":"97b824045c3668ad8eab81bdfe35d07ab0d18c76"},"source":["<a id='Creating_predictions_on_test_set'></a>\n","## **11. Creating predictions on test set**"]},{"cell_type":"code","execution_count":160,"metadata":{"_cell_guid":"cd416a0e-a234-45c1-a502-e46d7b381dcd","_uuid":"ddf3291a57a8ed1ebd10c81779abc44ff9f5ce72","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Index</th>\n","      <th>Treatment</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>5</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>494</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>52</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>984</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>186</td>\n","      <td>0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   Index  Treatment\n","0      5          1\n","1    494          0\n","2     52          0\n","3    984          0\n","4    186          0"]},"execution_count":160,"metadata":{},"output_type":"execute_result"}],"source":["# Generate predictions with the best method\n","clf = AdaBoostClassifier()\n","clf.fit(X, y)\n","dfTestPredictions = clf.predict(X_test)\n","\n","# Write predictions to csv file\n","# We don't have any significative field so we save the index\n","results = pd.DataFrame({'Index': X_test.index, 'Treatment': dfTestPredictions})\n","# Save to file\n","# This file will be visible after publishing in the output section\n","results.to_csv('preprocessed_datasets/2014/results.csv', index=False)\n","results.head()"]},{"cell_type":"markdown","metadata":{"_uuid":"35d306ec4cb719e14f1b2600dff7a3ffa89f1b47"},"source":["<a id='Submision'></a>\n","## ** 12. Submision**"]},{"cell_type":"markdown","metadata":{"_uuid":"8fdd6b0a10dd1efb08cfac45026ad83d3fd770eb"},"source":["### Prepare Submission File\n","We make submissions in CSV files. Your submissions usually have two columns: an ID column and a prediction column. The ID field comes from the test data (keeping whatever name the ID field had in that data, which for our data is the index). The prediction column will use the name of the target field.\n","\n","We will create a DataFrame with this data, and then use the dataframe's to_csv method to write our submission file. Explicitly include the argument index=False to prevent pandas from adding another column in our csv file."]},{"cell_type":"code","execution_count":161,"metadata":{"_uuid":"224fe370c6c43359faa76d067a3ef39ed3b13402","collapsed":true,"jupyter":{"outputs_hidden":true},"trusted":true},"outputs":[],"source":["# Write predictions to csv file\n","# We don't have any significative field so we save the index\n","results = pd.DataFrame({'Index': X_test.index, 'Treatment': dfTestPredictions})\n","# Save to file\n","# This file will be visible after publishing in the output section\n","results.to_csv('preprocessed_datasets/2014/submission.csv', index=False)\n"]},{"cell_type":"markdown","metadata":{"_uuid":"e56961d7c4f00c35537023aad9c6cbf09cd8286a"},"source":["### Make Submission\n","Hit the blue Publish button at the top of your notebook screen. It will take some time for your kernel to run. When it has finished your navigation bar at the top of the screen will have a tab for Output. This only shows up if you have written an output file (like we did in the Prepare Submission File step)."]},{"cell_type":"markdown","metadata":{"_cell_guid":"2c05dd56-2528-40b1-9cd0-368300adc2c3","_uuid":"d5972622da305ae627019fc0476a769a22a9f3fc"},"source":["<a id='Conclusions'></a>\n","## **13. Conclusions**\n","\n","As a beginner I don't know whether the results are the best. I think over 80% of success in the majority of methods is a good rate, given the point is to know whether a patient needs treatment or not.\n","\n","There's only left to have a way to persist the model for future use without having to retrain. This job will be done in another kernel.\n","\n","\n","Thanks for reading and if you'd like my job or want to give some advice, feel free.\n","\n"]}],"metadata":{"kernelspec":{"display_name":"StrokePredictionModel","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.8.13 (default, Mar 28 2022, 06:59:08) [MSC v.1916 64 bit (AMD64)]"},"vscode":{"interpreter":{"hash":"6d6bab66b583e7661b89cead2220317a23c391a40fb8c52f2c1bcd3c04f3fbda"}}},"nbformat":4,"nbformat_minor":4}