From 431ec635e89fc121d99e258535ae2a5e54c03b5b Mon Sep 17 00:00:00 2001 From: Anna01 Date: Sat, 13 Apr 2024 21:16:18 +0100 Subject: [PATCH] hi --- ...ab week 3 day 2 - round 5-checkpoint.ipynb | 6949 +++++++++++++++++ ...s-round-5]Anna Javashvili-checkpoint.ipynb | 6651 ++++++++++++++++ ...mer-analysis-round-5]Anna Javashvili.ipynb | 6651 ++++++++++++++++ 3 files changed, 20251 insertions(+) create mode 100644 .ipynb_checkpoints/Lab week 3 day 2 - round 5-checkpoint.ipynb create mode 100644 .ipynb_checkpoints/[lab-customer-analysis-round-5]Anna Javashvili-checkpoint.ipynb create mode 100644 [lab-customer-analysis-round-5]Anna Javashvili.ipynb diff --git a/.ipynb_checkpoints/Lab week 3 day 2 - round 5-checkpoint.ipynb b/.ipynb_checkpoints/Lab week 3 day 2 - round 5-checkpoint.ipynb new file mode 100644 index 0000000..a71e6df --- /dev/null +++ b/.ipynb_checkpoints/Lab week 3 day 2 - round 5-checkpoint.ipynb @@ -0,0 +1,6949 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 52, + "id": "2d3d2dc7", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np \n", + "\n", + "\n", + "\n", + "# this is not to show warnings\n", + "\n", + "import warnings\n", + "warnings.filterwarnings('ignore')\n", + "\n", + "\n", + "# this it the most common viz library in python\n", + "\n", + "import matplotlib.pyplot as plt\n", + "\n", + "\n", + "\n", + "# this one is the above on steroids\n", + "\n", + "\n", + "import seaborn as sns\n", + "\n", + "\n", + "df = pd.read_csv(r'C:\\Users\\User\\Desktop\\iRonhack\\Classes at Iron\\Week 3\\Day 2\\Lab week 3 day 2 - round 5\\lab-customer-analysis-round-5\\files_for_lab\\csv_files\\marketing_customer_analysis.csv')\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "f2238180", + "metadata": {}, + "source": [ + "# Show the dataframe shape." + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "11ff79a0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(9134, 24)" + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.shape" + ] + }, + { + "cell_type": "markdown", + "id": "9ebff9b1", + "metadata": {}, + "source": [ + "# Standardize header names." + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "id": "5f3e63cf", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CustomerStateCustomer Lifetime ValueResponseCoverageEducationEffective To DateEmploymentStatusGenderIncome...Months Since Policy InceptionNumber of Open ComplaintsNumber of PoliciesPolicy TypePolicyRenew Offer TypeSales ChannelTotal Claim AmountVehicle ClassVehicle Size
0BU79786Washington2763.519279NoBasicBachelor2/24/11EmployedF56274...501Corporate AutoCorporate L3Offer1Agent384.811147Two-Door CarMedsize
1QZ44356Arizona6979.535903NoExtendedBachelor1/31/11UnemployedF0...4208Personal AutoPersonal L3Offer3Agent1131.464935Four-Door CarMedsize
2AI49188Nevada12887.431650NoPremiumBachelor2/19/11EmployedF48767...3802Personal AutoPersonal L3Offer1Agent566.472247Two-Door CarMedsize
3WW63253California7645.861827NoBasicBachelor1/20/11UnemployedM0...6507Corporate AutoCorporate L2Offer1Call Center529.881344SUVMedsize
4HB64268Washington2813.692575NoBasicBachelor2/3/11EmployedM43836...4401Personal AutoPersonal L1Offer1Agent138.130879Four-Door CarMedsize
..................................................................
9129LA72316California23405.987980NoBasicBachelor2/10/11EmployedM71941...8902Personal AutoPersonal L1Offer2Web198.234764Four-Door CarMedsize
9130PK87824California3096.511217YesExtendedCollege2/12/11EmployedF21604...2801Corporate AutoCorporate L3Offer1Branch379.200000Four-Door CarMedsize
9131TD14365California8163.890428NoExtendedBachelor2/6/11UnemployedM0...3732Corporate AutoCorporate L2Offer1Branch790.784983Four-Door CarMedsize
9132UP19263California7524.442436NoExtendedCollege2/3/11EmployedM21941...303Personal AutoPersonal L2Offer3Branch691.200000Four-Door CarLarge
9133Y167826California2611.836866NoExtendedCollege2/14/11UnemployedM0...9001Corporate AutoCorporate L3Offer4Call Center369.600000Two-Door CarMedsize
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9134 rows × 24 columns

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" + ], + "text/plain": [ + " Customer State Customer Lifetime Value Response Coverage \\\n", + "0 BU79786 Washington 2763.519279 No Basic \n", + "1 QZ44356 Arizona 6979.535903 No Extended \n", + "2 AI49188 Nevada 12887.431650 No Premium \n", + "3 WW63253 California 7645.861827 No Basic \n", + "4 HB64268 Washington 2813.692575 No Basic \n", + "... ... ... ... ... ... \n", + "9129 LA72316 California 23405.987980 No Basic \n", + "9130 PK87824 California 3096.511217 Yes Extended \n", + "9131 TD14365 California 8163.890428 No Extended \n", + "9132 UP19263 California 7524.442436 No Extended \n", + "9133 Y167826 California 2611.836866 No Extended \n", + "\n", + " Education Effective To Date EmploymentStatus Gender Income ... \\\n", + "0 Bachelor 2/24/11 Employed F 56274 ... \n", + "1 Bachelor 1/31/11 Unemployed F 0 ... \n", + "2 Bachelor 2/19/11 Employed F 48767 ... \n", + "3 Bachelor 1/20/11 Unemployed M 0 ... \n", + "4 Bachelor 2/3/11 Employed M 43836 ... \n", + "... ... ... ... ... ... ... \n", + "9129 Bachelor 2/10/11 Employed M 71941 ... \n", + "9130 College 2/12/11 Employed F 21604 ... \n", + "9131 Bachelor 2/6/11 Unemployed M 0 ... \n", + "9132 College 2/3/11 Employed M 21941 ... \n", + "9133 College 2/14/11 Unemployed M 0 ... \n", + "\n", + " Months Since Policy Inception Number of Open Complaints \\\n", + "0 5 0 \n", + "1 42 0 \n", + "2 38 0 \n", + "3 65 0 \n", + "4 44 0 \n", + "... ... ... \n", + "9129 89 0 \n", + "9130 28 0 \n", + "9131 37 3 \n", + "9132 3 0 \n", + "9133 90 0 \n", + "\n", + " Number of Policies Policy Type Policy Renew Offer Type \\\n", + "0 1 Corporate Auto Corporate L3 Offer1 \n", + "1 8 Personal Auto Personal L3 Offer3 \n", + "2 2 Personal Auto Personal L3 Offer1 \n", + "3 7 Corporate Auto Corporate L2 Offer1 \n", + "4 1 Personal Auto Personal L1 Offer1 \n", + "... ... ... ... ... \n", + "9129 2 Personal Auto Personal L1 Offer2 \n", + "9130 1 Corporate Auto Corporate L3 Offer1 \n", + "9131 2 Corporate Auto Corporate L2 Offer1 \n", + "9132 3 Personal Auto Personal L2 Offer3 \n", + "9133 1 Corporate Auto Corporate L3 Offer4 \n", + "\n", + " Sales Channel Total Claim Amount Vehicle Class Vehicle Size \n", + "0 Agent 384.811147 Two-Door Car Medsize \n", + "1 Agent 1131.464935 Four-Door Car Medsize \n", + "2 Agent 566.472247 Two-Door Car Medsize \n", + "3 Call Center 529.881344 SUV Medsize \n", + "4 Agent 138.130879 Four-Door Car Medsize \n", + "... ... ... ... ... \n", + "9129 Web 198.234764 Four-Door Car Medsize \n", + "9130 Branch 379.200000 Four-Door Car Medsize \n", + "9131 Branch 790.784983 Four-Door Car Medsize \n", + "9132 Branch 691.200000 Four-Door Car Large \n", + "9133 Call Center 369.600000 Two-Door Car Medsize \n", + "\n", + "[9134 rows x 24 columns]" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "5111f911", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['customer', 'state', 'customer_lifetime_value', 'response', 'coverage',\n", + " 'education', 'effective_to_date', 'employmentstatus', 'gender',\n", + " 'income', 'location_code', 'marital_status', 'monthly_premium_auto',\n", + " 'months_since_last_claim', 'months_since_policy_inception',\n", + " 'number_of_open_complaints', 'number_of_policies', 'policy_type',\n", + " 'policy', 'renew_offer_type', 'sales_channel', 'total_claim_amount',\n", + " 'vehicle_class', 'vehicle_size'],\n", + " dtype='object')" + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cols = []\n", + "\n", + "for i in range(len(df.columns)):\n", + " cols.append(df.columns[i].lower().replace(' ', '_'))\n", + "cols\n", + "\n", + "df.columns = cols\n", + "df.columns" + ] + }, + { + "cell_type": "markdown", + "id": "e8255c20", + "metadata": {}, + "source": [ + "# Which columns are numerical?" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "abe0ceba", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "customer object\n", + "state object\n", + "customer_lifetime_value float64\n", + "response object\n", + "coverage object\n", + "education object\n", + "effective_to_date object\n", + "employmentstatus object\n", + "gender object\n", + "income int64\n", + "location_code object\n", + "marital_status object\n", + "monthly_premium_auto int64\n", + "months_since_last_claim int64\n", + "months_since_policy_inception int64\n", + "number_of_open_complaints int64\n", + "number_of_policies int64\n", + "policy_type object\n", + "policy object\n", + "renew_offer_type object\n", + "sales_channel object\n", + "total_claim_amount float64\n", + "vehicle_class object\n", + "vehicle_size object\n", + "dtype: object" + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.dtypes\n", + "\n", + "#numerical - floats and int" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "id": "bcf0b843", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "customer object\n", + "state object\n", + "customer_lifetime_value float64\n", + "response object\n", + "coverage object\n", + "education object\n", + "effective_to_date object\n", + "employmentstatus object\n", + "gender object\n", + "income int64\n", + "location_code object\n", + "marital_status object\n", + "monthly_premium_auto int64\n", + "months_since_last_claim int64\n", + "months_since_policy_inception int64\n", + "number_of_open_complaints int64\n", + "number_of_policies int64\n", + "policy_type object\n", + "policy object\n", + "renew_offer_type object\n", + "sales_channel object\n", + "total_claim_amount float64\n", + "vehicle_class object\n", + "vehicle_size object\n", + "dtype: object" + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.dtypes\n", + "\n", + "#categorical objects" + ] + }, + { + "cell_type": "markdown", + "id": "8b01a9b1", + "metadata": {}, + "source": [ + "# Check and deal with NaN values.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "id": "6fb93c76", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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customerstatecustomer_lifetime_valueresponsecoverageeducationeffective_to_dateemploymentstatusgenderincome...months_since_policy_inceptionnumber_of_open_complaintsnumber_of_policiespolicy_typepolicyrenew_offer_typesales_channeltotal_claim_amountvehicle_classvehicle_size
0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse...FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse
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2FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse...FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse
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4FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse...FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse
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9129FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse...FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse
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9132FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse...FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse
9133FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse...FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse
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9134 rows × 24 columns

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customer_lifetime_valueincomemonthly_premium_automonths_since_last_claimmonths_since_policy_inceptionnumber_of_open_complaintsnumber_of_policiestotal_claim_amount
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75%8962.16704162320.000000109.00000023.00000071.0000000.0000004.000000547.514839
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" + ], + "text/plain": [ + " customer_lifetime_value income monthly_premium_auto \\\n", + "count 9134.000000 9134.000000 9134.000000 \n", + "mean 8004.940475 37657.380009 93.219291 \n", + "std 6870.967608 30379.904734 34.407967 \n", + "min 1898.007675 0.000000 61.000000 \n", + "25% 3994.251794 0.000000 68.000000 \n", + "50% 5780.182197 33889.500000 83.000000 \n", + "75% 8962.167041 62320.000000 109.000000 \n", + "max 83325.381190 99981.000000 298.000000 \n", + "\n", + " months_since_last_claim months_since_policy_inception \\\n", + "count 9134.000000 9134.000000 \n", + "mean 15.097000 48.064594 \n", + "std 10.073257 27.905991 \n", + "min 0.000000 0.000000 \n", + "25% 6.000000 24.000000 \n", + "50% 14.000000 48.000000 \n", + "75% 23.000000 71.000000 \n", + "max 35.000000 99.000000 \n", + "\n", + " number_of_open_complaints number_of_policies total_claim_amount \n", + "count 9134.000000 9134.000000 9134.000000 \n", + "mean 0.384388 2.966170 434.088794 \n", + "std 0.910384 2.390182 290.500092 \n", + "min 0.000000 1.000000 0.099007 \n", + "25% 0.000000 1.000000 272.258244 \n", + "50% 0.000000 2.000000 383.945434 \n", + "75% 0.000000 4.000000 547.514839 \n", + "max 5.000000 9.000000 2893.239678 " + ] + }, + "execution_count": 61, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "id": "b1c1f70c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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customerstatecustomer_lifetime_valueresponsecoverageeducationeffective_to_dateemploymentstatusgenderincome...months_since_policy_inceptionnumber_of_open_complaintsnumber_of_policiespolicy_typepolicyrenew_offer_typesales_channeltotal_claim_amountvehicle_classvehicle_size
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0 rows × 24 columns

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" + ], + "text/plain": [ + "Empty DataFrame\n", + "Columns: [customer, state, customer_lifetime_value, response, coverage, education, effective_to_date, employmentstatus, gender, income, location_code, marital_status, monthly_premium_auto, months_since_last_claim, months_since_policy_inception, number_of_open_complaints, number_of_policies, policy_type, policy, renew_offer_type, sales_channel, total_claim_amount, vehicle_class, vehicle_size]\n", + "Index: []\n", + "\n", + "[0 rows x 24 columns]" + ] + }, + "execution_count": 62, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# to see them\n", + "\n", + "null_data = df.isna().any(axis = 1)\n", + "df[null_data]" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "id": "9330668c", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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customerstatecustomer_lifetime_valueresponsecoverageeducationeffective_to_dateemploymentstatusgenderincome...months_since_policy_inceptionnumber_of_open_complaintsnumber_of_policiespolicy_typepolicyrenew_offer_typesales_channeltotal_claim_amountvehicle_classvehicle_size
0BU79786Washington2763.519279NoBasicBachelor2/24/11EmployedF56274...501Corporate AutoCorporate L3Offer1Agent384.811147Two-Door CarMedsize
1QZ44356Arizona6979.535903NoExtendedBachelor1/31/11UnemployedF0...4208Personal AutoPersonal L3Offer3Agent1131.464935Four-Door CarMedsize
2AI49188Nevada12887.431650NoPremiumBachelor2/19/11EmployedF48767...3802Personal AutoPersonal L3Offer1Agent566.472247Two-Door CarMedsize
3WW63253California7645.861827NoBasicBachelor1/20/11UnemployedM0...6507Corporate AutoCorporate L2Offer1Call Center529.881344SUVMedsize
4HB64268Washington2813.692575NoBasicBachelor2/3/11EmployedM43836...4401Personal AutoPersonal L1Offer1Agent138.130879Four-Door CarMedsize
..................................................................
9129LA72316California23405.987980NoBasicBachelor2/10/11EmployedM71941...8902Personal AutoPersonal L1Offer2Web198.234764Four-Door CarMedsize
9130PK87824California3096.511217YesExtendedCollege2/12/11EmployedF21604...2801Corporate AutoCorporate L3Offer1Branch379.200000Four-Door CarMedsize
9131TD14365California8163.890428NoExtendedBachelor2/6/11UnemployedM0...3732Corporate AutoCorporate L2Offer1Branch790.784983Four-Door CarMedsize
9132UP19263California7524.442436NoExtendedCollege2/3/11EmployedM21941...303Personal AutoPersonal L2Offer3Branch691.200000Four-Door CarLarge
9133Y167826California2611.836866NoExtendedCollege2/14/11UnemployedM0...9001Corporate AutoCorporate L3Offer4Call Center369.600000Two-Door CarMedsize
\n", + "

9134 rows × 24 columns

\n", + "
" + ], + "text/plain": [ + " customer state customer_lifetime_value response coverage \\\n", + "0 BU79786 Washington 2763.519279 No Basic \n", + "1 QZ44356 Arizona 6979.535903 No Extended \n", + "2 AI49188 Nevada 12887.431650 No Premium \n", + "3 WW63253 California 7645.861827 No Basic \n", + "4 HB64268 Washington 2813.692575 No Basic \n", + "... ... ... ... ... ... \n", + "9129 LA72316 California 23405.987980 No Basic \n", + "9130 PK87824 California 3096.511217 Yes Extended \n", + "9131 TD14365 California 8163.890428 No Extended \n", + "9132 UP19263 California 7524.442436 No Extended \n", + "9133 Y167826 California 2611.836866 No Extended \n", + "\n", + " education effective_to_date employmentstatus gender income ... \\\n", + "0 Bachelor 2/24/11 Employed F 56274 ... \n", + "1 Bachelor 1/31/11 Unemployed F 0 ... \n", + "2 Bachelor 2/19/11 Employed F 48767 ... \n", + "3 Bachelor 1/20/11 Unemployed M 0 ... \n", + "4 Bachelor 2/3/11 Employed M 43836 ... \n", + "... ... ... ... ... ... ... \n", + "9129 Bachelor 2/10/11 Employed M 71941 ... \n", + "9130 College 2/12/11 Employed F 21604 ... \n", + "9131 Bachelor 2/6/11 Unemployed M 0 ... \n", + "9132 College 2/3/11 Employed M 21941 ... \n", + "9133 College 2/14/11 Unemployed M 0 ... \n", + "\n", + " months_since_policy_inception number_of_open_complaints \\\n", + "0 5 0 \n", + "1 42 0 \n", + "2 38 0 \n", + "3 65 0 \n", + "4 44 0 \n", + "... ... ... \n", + "9129 89 0 \n", + "9130 28 0 \n", + "9131 37 3 \n", + "9132 3 0 \n", + "9133 90 0 \n", + "\n", + " number_of_policies policy_type policy renew_offer_type \\\n", + "0 1 Corporate Auto Corporate L3 Offer1 \n", + "1 8 Personal Auto Personal L3 Offer3 \n", + "2 2 Personal Auto Personal L3 Offer1 \n", + "3 7 Corporate Auto Corporate L2 Offer1 \n", + "4 1 Personal Auto Personal L1 Offer1 \n", + "... ... ... ... ... \n", + "9129 2 Personal Auto Personal L1 Offer2 \n", + "9130 1 Corporate Auto Corporate L3 Offer1 \n", + "9131 2 Corporate Auto Corporate L2 Offer1 \n", + "9132 3 Personal Auto Personal L2 Offer3 \n", + "9133 1 Corporate Auto Corporate L3 Offer4 \n", + "\n", + " sales_channel total_claim_amount vehicle_class vehicle_size \n", + "0 Agent 384.811147 Two-Door Car Medsize \n", + "1 Agent 1131.464935 Four-Door Car Medsize \n", + "2 Agent 566.472247 Two-Door Car Medsize \n", + "3 Call Center 529.881344 SUV Medsize \n", + "4 Agent 138.130879 Four-Door Car Medsize \n", + "... ... ... ... ... \n", + "9129 Web 198.234764 Four-Door Car Medsize \n", + "9130 Branch 379.200000 Four-Door Car Medsize \n", + "9131 Branch 790.784983 Four-Door Car Medsize \n", + "9132 Branch 691.200000 Four-Door Car Large \n", + "9133 Call Center 369.600000 Two-Door Car Medsize \n", + "\n", + "[9134 rows x 24 columns]" + ] + }, + "execution_count": 63, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# to drop them\n", + "\n", + "\n", + "df.dropna()" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "id": "a712ecac", + "metadata": {}, + "outputs": [], + "source": [ + "df_without_nan = df.dropna()" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "id": "39a4f1f3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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customerstatecustomer_lifetime_valueresponsecoverageeducationeffective_to_dateemploymentstatusgenderincome...months_since_policy_inceptionnumber_of_open_complaintsnumber_of_policiespolicy_typepolicyrenew_offer_typesales_channeltotal_claim_amountvehicle_classvehicle_size
0BU79786Washington2763.519279NoBasicBachelor2/24/11EmployedF56274...501Corporate AutoCorporate L3Offer1Agent384.811147Two-Door CarMedsize
1QZ44356Arizona6979.535903NoExtendedBachelor1/31/11UnemployedF0...4208Personal AutoPersonal L3Offer3Agent1131.464935Four-Door CarMedsize
2AI49188Nevada12887.431650NoPremiumBachelor2/19/11EmployedF48767...3802Personal AutoPersonal L3Offer1Agent566.472247Two-Door CarMedsize
3WW63253California7645.861827NoBasicBachelor1/20/11UnemployedM0...6507Corporate AutoCorporate L2Offer1Call Center529.881344SUVMedsize
4HB64268Washington2813.692575NoBasicBachelor2/3/11EmployedM43836...4401Personal AutoPersonal L1Offer1Agent138.130879Four-Door CarMedsize
..................................................................
9129LA72316California23405.987980NoBasicBachelor2/10/11EmployedM71941...8902Personal AutoPersonal L1Offer2Web198.234764Four-Door CarMedsize
9130PK87824California3096.511217YesExtendedCollege2/12/11EmployedF21604...2801Corporate AutoCorporate L3Offer1Branch379.200000Four-Door CarMedsize
9131TD14365California8163.890428NoExtendedBachelor2/6/11UnemployedM0...3732Corporate AutoCorporate L2Offer1Branch790.784983Four-Door CarMedsize
9132UP19263California7524.442436NoExtendedCollege2/3/11EmployedM21941...303Personal AutoPersonal L2Offer3Branch691.200000Four-Door CarLarge
9133Y167826California2611.836866NoExtendedCollege2/14/11UnemployedM0...9001Corporate AutoCorporate L3Offer4Call Center369.600000Two-Door CarMedsize
\n", + "

9134 rows × 24 columns

\n", + "
" + ], + "text/plain": [ + " customer state customer_lifetime_value response coverage \\\n", + "0 BU79786 Washington 2763.519279 No Basic \n", + "1 QZ44356 Arizona 6979.535903 No Extended \n", + "2 AI49188 Nevada 12887.431650 No Premium \n", + "3 WW63253 California 7645.861827 No Basic \n", + "4 HB64268 Washington 2813.692575 No Basic \n", + "... ... ... ... ... ... \n", + "9129 LA72316 California 23405.987980 No Basic \n", + "9130 PK87824 California 3096.511217 Yes Extended \n", + "9131 TD14365 California 8163.890428 No Extended \n", + "9132 UP19263 California 7524.442436 No Extended \n", + "9133 Y167826 California 2611.836866 No Extended \n", + "\n", + " education effective_to_date employmentstatus gender income ... \\\n", + "0 Bachelor 2/24/11 Employed F 56274 ... \n", + "1 Bachelor 1/31/11 Unemployed F 0 ... \n", + "2 Bachelor 2/19/11 Employed F 48767 ... \n", + "3 Bachelor 1/20/11 Unemployed M 0 ... \n", + "4 Bachelor 2/3/11 Employed M 43836 ... \n", + "... ... ... ... ... ... ... \n", + "9129 Bachelor 2/10/11 Employed M 71941 ... \n", + "9130 College 2/12/11 Employed F 21604 ... \n", + "9131 Bachelor 2/6/11 Unemployed M 0 ... \n", + "9132 College 2/3/11 Employed M 21941 ... \n", + "9133 College 2/14/11 Unemployed M 0 ... \n", + "\n", + " months_since_policy_inception number_of_open_complaints \\\n", + "0 5 0 \n", + "1 42 0 \n", + "2 38 0 \n", + "3 65 0 \n", + "4 44 0 \n", + "... ... ... \n", + "9129 89 0 \n", + "9130 28 0 \n", + "9131 37 3 \n", + "9132 3 0 \n", + "9133 90 0 \n", + "\n", + " number_of_policies policy_type policy renew_offer_type \\\n", + "0 1 Corporate Auto Corporate L3 Offer1 \n", + "1 8 Personal Auto Personal L3 Offer3 \n", + "2 2 Personal Auto Personal L3 Offer1 \n", + "3 7 Corporate Auto Corporate L2 Offer1 \n", + "4 1 Personal Auto Personal L1 Offer1 \n", + "... ... ... ... ... \n", + "9129 2 Personal Auto Personal L1 Offer2 \n", + "9130 1 Corporate Auto Corporate L3 Offer1 \n", + "9131 2 Corporate Auto Corporate L2 Offer1 \n", + "9132 3 Personal Auto Personal L2 Offer3 \n", + "9133 1 Corporate Auto Corporate L3 Offer4 \n", + "\n", + " sales_channel total_claim_amount vehicle_class vehicle_size \n", + "0 Agent 384.811147 Two-Door Car Medsize \n", + "1 Agent 1131.464935 Four-Door Car Medsize \n", + "2 Agent 566.472247 Two-Door Car Medsize \n", + "3 Call Center 529.881344 SUV Medsize \n", + "4 Agent 138.130879 Four-Door Car Medsize \n", + "... ... ... ... ... \n", + "9129 Web 198.234764 Four-Door Car Medsize \n", + "9130 Branch 379.200000 Four-Door Car Medsize \n", + "9131 Branch 790.784983 Four-Door Car Medsize \n", + "9132 Branch 691.200000 Four-Door Car Large \n", + "9133 Call Center 369.600000 Two-Door Car Medsize \n", + "\n", + "[9134 rows x 24 columns]" + ] + }, + "execution_count": 65, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_without_nan" + ] + }, + { + "cell_type": "markdown", + "id": "d404b98a", + "metadata": {}, + "source": [ + "# Datetime" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "id": "75f7ab21", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'\\n\\nDatetime format - Extract the months from the dataset and store in a separate column. \\nThen filter the data to show only the information for the first quarter , ie. January, February and March. \\nHint: If data from March does not exist, consider only January and February.\\n\\n'" + ] + }, + "execution_count": 66, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "'''\n", + "\n", + "Datetime format - Extract the months from the dataset and store in a separate column. \n", + "Then filter the data to show only the information for the first quarter , ie. January, February and March. \n", + "Hint: If data from March does not exist, consider only January and February.\n", + "\n", + "'''" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "id": "b6f97664", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "customer object\n", + "state object\n", + "customer_lifetime_value float64\n", + "response object\n", + "coverage object\n", + "education object\n", + "effective_to_date object\n", + "employmentstatus object\n", + "gender object\n", + "income int64\n", + "location_code object\n", + "marital_status object\n", + "monthly_premium_auto int64\n", + "months_since_last_claim int64\n", + "months_since_policy_inception int64\n", + "number_of_open_complaints int64\n", + "number_of_policies int64\n", + "policy_type object\n", + "policy object\n", + "renew_offer_type object\n", + "sales_channel object\n", + "total_claim_amount float64\n", + "vehicle_class object\n", + "vehicle_size object\n", + "dtype: object" + ] + }, + "execution_count": 67, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\n", + "\n", + "df.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "id": "02232c0d", + "metadata": {}, + "outputs": [], + "source": [ + "df['effective_to_date'] = pd.to_datetime(df['effective_to_date'])" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "id": "fa1562b0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "customer object\n", + "state object\n", + "customer_lifetime_value float64\n", + "response object\n", + "coverage object\n", + "education object\n", + "effective_to_date datetime64[ns]\n", + "employmentstatus object\n", + "gender object\n", + "income int64\n", + "location_code object\n", + "marital_status object\n", + "monthly_premium_auto int64\n", + "months_since_last_claim int64\n", + "months_since_policy_inception int64\n", + "number_of_open_complaints int64\n", + "number_of_policies int64\n", + "policy_type object\n", + "policy object\n", + "renew_offer_type object\n", + "sales_channel object\n", + "total_claim_amount float64\n", + "vehicle_class object\n", + "vehicle_size object\n", + "dtype: object" + ] + }, + "execution_count": 69, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "id": "e7f5ca32", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2011" + ] + }, + "execution_count": 70, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['effective_to_date'][0].year" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "id": "f9148d87", + "metadata": {}, + "outputs": [], + "source": [ + "df['month'] = df['effective_to_date'].dt.month\n" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "id": "050acd85", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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customerstatecustomer_lifetime_valueresponsecoverageeducationeffective_to_dateemploymentstatusgenderincome...number_of_open_complaintsnumber_of_policiespolicy_typepolicyrenew_offer_typesales_channeltotal_claim_amountvehicle_classvehicle_sizemonth
0BU79786Washington2763.519279NoBasicBachelor2011-02-24EmployedF56274...01Corporate AutoCorporate L3Offer1Agent384.811147Two-Door CarMedsize2
1QZ44356Arizona6979.535903NoExtendedBachelor2011-01-31UnemployedF0...08Personal AutoPersonal L3Offer3Agent1131.464935Four-Door CarMedsize1
2AI49188Nevada12887.431650NoPremiumBachelor2011-02-19EmployedF48767...02Personal AutoPersonal L3Offer1Agent566.472247Two-Door CarMedsize2
3WW63253California7645.861827NoBasicBachelor2011-01-20UnemployedM0...07Corporate AutoCorporate L2Offer1Call Center529.881344SUVMedsize1
4HB64268Washington2813.692575NoBasicBachelor2011-02-03EmployedM43836...01Personal AutoPersonal L1Offer1Agent138.130879Four-Door CarMedsize2
..................................................................
9129LA72316California23405.987980NoBasicBachelor2011-02-10EmployedM71941...02Personal AutoPersonal L1Offer2Web198.234764Four-Door CarMedsize2
9130PK87824California3096.511217YesExtendedCollege2011-02-12EmployedF21604...01Corporate AutoCorporate L3Offer1Branch379.200000Four-Door CarMedsize2
9131TD14365California8163.890428NoExtendedBachelor2011-02-06UnemployedM0...32Corporate AutoCorporate L2Offer1Branch790.784983Four-Door CarMedsize2
9132UP19263California7524.442436NoExtendedCollege2011-02-03EmployedM21941...03Personal AutoPersonal L2Offer3Branch691.200000Four-Door CarLarge2
9133Y167826California2611.836866NoExtendedCollege2011-02-14UnemployedM0...01Corporate AutoCorporate L3Offer4Call Center369.600000Two-Door CarMedsize2
\n", + "

9134 rows × 25 columns

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customerstatecustomer_lifetime_valueresponsecoverageeducationeffective_to_dateemploymentstatusgenderincome...number_of_open_complaintsnumber_of_policiespolicy_typepolicyrenew_offer_typesales_channeltotal_claim_amountvehicle_classvehicle_sizemonth
0BU79786Washington2763.519279NoBasicBachelor2011-02-24EmployedF56274...01Corporate AutoCorporate L3Offer1Agent384.811147Two-Door CarMedsize2
1QZ44356Arizona6979.535903NoExtendedBachelor2011-01-31UnemployedF0...08Personal AutoPersonal L3Offer3Agent1131.464935Four-Door CarMedsize1
2AI49188Nevada12887.431650NoPremiumBachelor2011-02-19EmployedF48767...02Personal AutoPersonal L3Offer1Agent566.472247Two-Door CarMedsize2
3WW63253California7645.861827NoBasicBachelor2011-01-20UnemployedM0...07Corporate AutoCorporate L2Offer1Call Center529.881344SUVMedsize1
4HB64268Washington2813.692575NoBasicBachelor2011-02-03EmployedM43836...01Personal AutoPersonal L1Offer1Agent138.130879Four-Door CarMedsize2
..................................................................
9129LA72316California23405.987980NoBasicBachelor2011-02-10EmployedM71941...02Personal AutoPersonal L1Offer2Web198.234764Four-Door CarMedsize2
9130PK87824California3096.511217YesExtendedCollege2011-02-12EmployedF21604...01Corporate AutoCorporate L3Offer1Branch379.200000Four-Door CarMedsize2
9131TD14365California8163.890428NoExtendedBachelor2011-02-06UnemployedM0...32Corporate AutoCorporate L2Offer1Branch790.784983Four-Door CarMedsize2
9132UP19263California7524.442436NoExtendedCollege2011-02-03EmployedM21941...03Personal AutoPersonal L2Offer3Branch691.200000Four-Door CarLarge2
9133Y167826California2611.836866NoExtendedCollege2011-02-14UnemployedM0...01Corporate AutoCorporate L3Offer4Call Center369.600000Two-Door CarMedsize2
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9134 rows × 25 columns

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customerstatecustomer_lifetime_valueresponsecoverageeducationeffective_to_dateemploymentstatusgenderincome...number_of_open_complaintsnumber_of_policiespolicy_typepolicyrenew_offer_typesales_channeltotal_claim_amountvehicle_classvehicle_sizemonth
1QZ44356Arizona6979.535903NoExtendedBachelor2011-01-31UnemployedF0...08Personal AutoPersonal L3Offer3Agent1131.464935Four-Door CarMedsize1
3WW63253California7645.861827NoBasicBachelor2011-01-20UnemployedM0...07Corporate AutoCorporate L2Offer1Call Center529.881344SUVMedsize1
5OC83172Oregon8256.297800YesBasicBachelor2011-01-25EmployedF62902...02Personal AutoPersonal L3Offer2Web159.383042Two-Door CarMedsize1
7CF85061Arizona7216.100311NoPremiumMaster2011-01-18UnemployedM0...04Corporate AutoCorporate L3Offer1Agent363.029680Four-Door CarMedsize1
8DY87989Oregon24127.504020YesBasicBachelor2011-01-26Medical LeaveM14072...02Corporate AutoCorporate L3Offer1Agent511.200000Four-Door CarMedsize1
..................................................................
9123WZ45103California5678.050167YesExtendedBachelor2011-01-19UnemployedF0...03Personal AutoPersonal L2Offer2Agent364.800000Four-Door CarSmall1
9124CB59349California16261.585500NoExtendedMaster2011-01-20EmployedM60646...02Personal AutoPersonal L3Offer2Agent643.200000SUVMedsize1
9125RX91025California19872.262000NoPremiumHigh School or Below2011-01-31UnemployedM0...02Personal AutoPersonal L3Offer1Agent1950.725547SUVSmall1
9126AC13887California4628.995325NoBasicBachelor2011-01-09UnemployedM0...04Corporate AutoCorporate L1Offer1Branch482.400000Two-Door CarMedsize1
9128YM19146California4100.398533NoPremiumCollege2011-01-06EmployedF47761...01Personal AutoPersonal L2Offer1Branch541.282007Four-Door CarLarge1
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4898 rows × 25 columns

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" + ], + "text/plain": [ + " customer state customer_lifetime_value response coverage \\\n", + "1 QZ44356 Arizona 6979.535903 No Extended \n", + "3 WW63253 California 7645.861827 No Basic \n", + "5 OC83172 Oregon 8256.297800 Yes Basic \n", + "7 CF85061 Arizona 7216.100311 No Premium \n", + "8 DY87989 Oregon 24127.504020 Yes Basic \n", + "... ... ... ... ... ... \n", + "9123 WZ45103 California 5678.050167 Yes Extended \n", + "9124 CB59349 California 16261.585500 No Extended \n", + "9125 RX91025 California 19872.262000 No Premium \n", + "9126 AC13887 California 4628.995325 No Basic \n", + "9128 YM19146 California 4100.398533 No Premium \n", + "\n", + " education effective_to_date employmentstatus gender income \\\n", + "1 Bachelor 2011-01-31 Unemployed F 0 \n", + "3 Bachelor 2011-01-20 Unemployed M 0 \n", + "5 Bachelor 2011-01-25 Employed F 62902 \n", + "7 Master 2011-01-18 Unemployed M 0 \n", + "8 Bachelor 2011-01-26 Medical Leave M 14072 \n", + "... ... ... ... ... ... \n", + "9123 Bachelor 2011-01-19 Unemployed F 0 \n", + "9124 Master 2011-01-20 Employed M 60646 \n", + "9125 High School or Below 2011-01-31 Unemployed M 0 \n", + "9126 Bachelor 2011-01-09 Unemployed M 0 \n", + "9128 College 2011-01-06 Employed F 47761 \n", + "\n", + " ... number_of_open_complaints number_of_policies policy_type \\\n", + "1 ... 0 8 Personal Auto \n", + "3 ... 0 7 Corporate Auto \n", + "5 ... 0 2 Personal Auto \n", + "7 ... 0 4 Corporate Auto \n", + "8 ... 0 2 Corporate Auto \n", + "... ... ... ... ... \n", + "9123 ... 0 3 Personal Auto \n", + "9124 ... 0 2 Personal Auto \n", + "9125 ... 0 2 Personal Auto \n", + "9126 ... 0 4 Corporate Auto \n", + "9128 ... 0 1 Personal Auto \n", + "\n", + " policy renew_offer_type sales_channel total_claim_amount \\\n", + "1 Personal L3 Offer3 Agent 1131.464935 \n", + "3 Corporate L2 Offer1 Call Center 529.881344 \n", + "5 Personal L3 Offer2 Web 159.383042 \n", + "7 Corporate L3 Offer1 Agent 363.029680 \n", + "8 Corporate L3 Offer1 Agent 511.200000 \n", + "... ... ... ... ... \n", + "9123 Personal L2 Offer2 Agent 364.800000 \n", + "9124 Personal L3 Offer2 Agent 643.200000 \n", + "9125 Personal L3 Offer1 Agent 1950.725547 \n", + "9126 Corporate L1 Offer1 Branch 482.400000 \n", + "9128 Personal L2 Offer1 Branch 541.282007 \n", + "\n", + " vehicle_class vehicle_size month \n", + "1 Four-Door Car Medsize 1 \n", + "3 SUV Medsize 1 \n", + "5 Two-Door Car Medsize 1 \n", + "7 Four-Door Car Medsize 1 \n", + "8 Four-Door Car Medsize 1 \n", + "... ... ... ... \n", + "9123 Four-Door Car Small 1 \n", + "9124 SUV Medsize 1 \n", + "9125 SUV Small 1 \n", + "9126 Two-Door Car Medsize 1 \n", + "9128 Four-Door Car Large 1 \n", + "\n", + "[4898 rows x 25 columns]" + ] + }, + "execution_count": 75, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "condition = df['month'] == 1\n", + "df_january = df[condition]\n", + "df_january" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "id": "1e732910", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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customerstatecustomer_lifetime_valueresponsecoverageeducationeffective_to_dateemploymentstatusgenderincome...number_of_open_complaintsnumber_of_policiespolicy_typepolicyrenew_offer_typesales_channeltotal_claim_amountvehicle_classvehicle_sizemonth
0BU79786Washington2763.519279NoBasicBachelor2011-02-24EmployedF56274...01Corporate AutoCorporate L3Offer1Agent384.811147Two-Door CarMedsize2
2AI49188Nevada12887.431650NoPremiumBachelor2011-02-19EmployedF48767...02Personal AutoPersonal L3Offer1Agent566.472247Two-Door CarMedsize2
4HB64268Washington2813.692575NoBasicBachelor2011-02-03EmployedM43836...01Personal AutoPersonal L1Offer1Agent138.130879Four-Door CarMedsize2
6XZ87318Oregon5380.898636YesBasicCollege2011-02-24EmployedF55350...09Corporate AutoCorporate L3Offer1Agent321.600000Four-Door CarMedsize2
9BQ94931Oregon7388.178085NoExtendedCollege2011-02-17EmployedF28812...08Special AutoSpecial L2Offer2Branch425.527834Four-Door CarMedsize2
..................................................................
9129LA72316California23405.987980NoBasicBachelor2011-02-10EmployedM71941...02Personal AutoPersonal L1Offer2Web198.234764Four-Door CarMedsize2
9130PK87824California3096.511217YesExtendedCollege2011-02-12EmployedF21604...01Corporate AutoCorporate L3Offer1Branch379.200000Four-Door CarMedsize2
9131TD14365California8163.890428NoExtendedBachelor2011-02-06UnemployedM0...32Corporate AutoCorporate L2Offer1Branch790.784983Four-Door CarMedsize2
9132UP19263California7524.442436NoExtendedCollege2011-02-03EmployedM21941...03Personal AutoPersonal L2Offer3Branch691.200000Four-Door CarLarge2
9133Y167826California2611.836866NoExtendedCollege2011-02-14UnemployedM0...01Corporate AutoCorporate L3Offer4Call Center369.600000Two-Door CarMedsize2
\n", + "

4236 rows × 25 columns

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" + ], + "text/plain": [ + " customer state customer_lifetime_value response coverage \\\n", + "0 BU79786 Washington 2763.519279 No Basic \n", + "2 AI49188 Nevada 12887.431650 No Premium \n", + "4 HB64268 Washington 2813.692575 No Basic \n", + "6 XZ87318 Oregon 5380.898636 Yes Basic \n", + "9 BQ94931 Oregon 7388.178085 No Extended \n", + "... ... ... ... ... ... \n", + "9129 LA72316 California 23405.987980 No Basic \n", + "9130 PK87824 California 3096.511217 Yes Extended \n", + "9131 TD14365 California 8163.890428 No Extended \n", + "9132 UP19263 California 7524.442436 No Extended \n", + "9133 Y167826 California 2611.836866 No Extended \n", + "\n", + " education effective_to_date employmentstatus gender income ... \\\n", + "0 Bachelor 2011-02-24 Employed F 56274 ... \n", + "2 Bachelor 2011-02-19 Employed F 48767 ... \n", + "4 Bachelor 2011-02-03 Employed M 43836 ... \n", + "6 College 2011-02-24 Employed F 55350 ... \n", + "9 College 2011-02-17 Employed F 28812 ... \n", + "... ... ... ... ... ... ... \n", + "9129 Bachelor 2011-02-10 Employed M 71941 ... \n", + "9130 College 2011-02-12 Employed F 21604 ... \n", + "9131 Bachelor 2011-02-06 Unemployed M 0 ... \n", + "9132 College 2011-02-03 Employed M 21941 ... \n", + "9133 College 2011-02-14 Unemployed M 0 ... \n", + "\n", + " number_of_open_complaints number_of_policies policy_type \\\n", + "0 0 1 Corporate Auto \n", + "2 0 2 Personal Auto \n", + "4 0 1 Personal Auto \n", + "6 0 9 Corporate Auto \n", + "9 0 8 Special Auto \n", + "... ... ... ... \n", + "9129 0 2 Personal Auto \n", + "9130 0 1 Corporate Auto \n", + "9131 3 2 Corporate Auto \n", + "9132 0 3 Personal Auto \n", + "9133 0 1 Corporate Auto \n", + "\n", + " policy renew_offer_type sales_channel total_claim_amount \\\n", + "0 Corporate L3 Offer1 Agent 384.811147 \n", + "2 Personal L3 Offer1 Agent 566.472247 \n", + "4 Personal L1 Offer1 Agent 138.130879 \n", + "6 Corporate L3 Offer1 Agent 321.600000 \n", + "9 Special L2 Offer2 Branch 425.527834 \n", + "... ... ... ... ... \n", + "9129 Personal L1 Offer2 Web 198.234764 \n", + "9130 Corporate L3 Offer1 Branch 379.200000 \n", + "9131 Corporate L2 Offer1 Branch 790.784983 \n", + "9132 Personal L2 Offer3 Branch 691.200000 \n", + "9133 Corporate L3 Offer4 Call Center 369.600000 \n", + "\n", + " vehicle_class vehicle_size month \n", + "0 Two-Door Car Medsize 2 \n", + "2 Two-Door Car Medsize 2 \n", + "4 Four-Door Car Medsize 2 \n", + "6 Four-Door Car Medsize 2 \n", + "9 Four-Door Car Medsize 2 \n", + "... ... ... ... \n", + "9129 Four-Door Car Medsize 2 \n", + "9130 Four-Door Car Medsize 2 \n", + "9131 Four-Door Car Medsize 2 \n", + "9132 Four-Door Car Large 2 \n", + "9133 Two-Door Car Medsize 2 \n", + "\n", + "[4236 rows x 25 columns]" + ] + }, + "execution_count": 76, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "condition = df['month'] == 2\n", + "df_february = df[condition]\n", + "df_february" + ] + }, + { + "cell_type": "markdown", + "id": "47f5f63a", + "metadata": {}, + "source": [ + "# BONUS: Put all the previously mentioned data transformations into a function." + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "id": "82f27cce", + "metadata": {}, + "outputs": [], + "source": [ + "#putting into the function\n", + "\n", + "def filtering(dataframe, month):\n", + " condition = dataframe['month'] == month\n", + " dataframe = dataframe[condition]\n", + " return dataframe\n", + " \n", + "new_df = filtering(df, 2)" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "id": "e4263fbb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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customerstatecustomer_lifetime_valueresponsecoverageeducationeffective_to_dateemploymentstatusgenderincome...number_of_open_complaintsnumber_of_policiespolicy_typepolicyrenew_offer_typesales_channeltotal_claim_amountvehicle_classvehicle_sizemonth
0BU79786Washington2763.519279NoBasicBachelor2011-02-24EmployedF56274...01Corporate AutoCorporate L3Offer1Agent384.811147Two-Door CarMedsize2
2AI49188Nevada12887.431650NoPremiumBachelor2011-02-19EmployedF48767...02Personal AutoPersonal L3Offer1Agent566.472247Two-Door CarMedsize2
4HB64268Washington2813.692575NoBasicBachelor2011-02-03EmployedM43836...01Personal AutoPersonal L1Offer1Agent138.130879Four-Door CarMedsize2
6XZ87318Oregon5380.898636YesBasicCollege2011-02-24EmployedF55350...09Corporate AutoCorporate L3Offer1Agent321.600000Four-Door CarMedsize2
9BQ94931Oregon7388.178085NoExtendedCollege2011-02-17EmployedF28812...08Special AutoSpecial L2Offer2Branch425.527834Four-Door CarMedsize2
..................................................................
9129LA72316California23405.987980NoBasicBachelor2011-02-10EmployedM71941...02Personal AutoPersonal L1Offer2Web198.234764Four-Door CarMedsize2
9130PK87824California3096.511217YesExtendedCollege2011-02-12EmployedF21604...01Corporate AutoCorporate L3Offer1Branch379.200000Four-Door CarMedsize2
9131TD14365California8163.890428NoExtendedBachelor2011-02-06UnemployedM0...32Corporate AutoCorporate L2Offer1Branch790.784983Four-Door CarMedsize2
9132UP19263California7524.442436NoExtendedCollege2011-02-03EmployedM21941...03Personal AutoPersonal L2Offer3Branch691.200000Four-Door CarLarge2
9133Y167826California2611.836866NoExtendedCollege2011-02-14UnemployedM0...01Corporate AutoCorporate L3Offer4Call Center369.600000Two-Door CarMedsize2
\n", + "

4236 rows × 25 columns

\n", + "
" + ], + "text/plain": [ + " customer state customer_lifetime_value response coverage \\\n", + "0 BU79786 Washington 2763.519279 No Basic \n", + "2 AI49188 Nevada 12887.431650 No Premium \n", + "4 HB64268 Washington 2813.692575 No Basic \n", + "6 XZ87318 Oregon 5380.898636 Yes Basic \n", + "9 BQ94931 Oregon 7388.178085 No Extended \n", + "... ... ... ... ... ... \n", + "9129 LA72316 California 23405.987980 No Basic \n", + "9130 PK87824 California 3096.511217 Yes Extended \n", + "9131 TD14365 California 8163.890428 No Extended \n", + "9132 UP19263 California 7524.442436 No Extended \n", + "9133 Y167826 California 2611.836866 No Extended \n", + "\n", + " education effective_to_date employmentstatus gender income ... \\\n", + "0 Bachelor 2011-02-24 Employed F 56274 ... \n", + "2 Bachelor 2011-02-19 Employed F 48767 ... \n", + "4 Bachelor 2011-02-03 Employed M 43836 ... \n", + "6 College 2011-02-24 Employed F 55350 ... \n", + "9 College 2011-02-17 Employed F 28812 ... \n", + "... ... ... ... ... ... ... \n", + "9129 Bachelor 2011-02-10 Employed M 71941 ... \n", + "9130 College 2011-02-12 Employed F 21604 ... \n", + "9131 Bachelor 2011-02-06 Unemployed M 0 ... \n", + "9132 College 2011-02-03 Employed M 21941 ... \n", + "9133 College 2011-02-14 Unemployed M 0 ... \n", + "\n", + " number_of_open_complaints number_of_policies policy_type \\\n", + "0 0 1 Corporate Auto \n", + "2 0 2 Personal Auto \n", + "4 0 1 Personal Auto \n", + "6 0 9 Corporate Auto \n", + "9 0 8 Special Auto \n", + "... ... ... ... \n", + "9129 0 2 Personal Auto \n", + "9130 0 1 Corporate Auto \n", + "9131 3 2 Corporate Auto \n", + "9132 0 3 Personal Auto \n", + "9133 0 1 Corporate Auto \n", + "\n", + " policy renew_offer_type sales_channel total_claim_amount \\\n", + "0 Corporate L3 Offer1 Agent 384.811147 \n", + "2 Personal L3 Offer1 Agent 566.472247 \n", + "4 Personal L1 Offer1 Agent 138.130879 \n", + "6 Corporate L3 Offer1 Agent 321.600000 \n", + "9 Special L2 Offer2 Branch 425.527834 \n", + "... ... ... ... ... \n", + "9129 Personal L1 Offer2 Web 198.234764 \n", + "9130 Corporate L3 Offer1 Branch 379.200000 \n", + "9131 Corporate L2 Offer1 Branch 790.784983 \n", + "9132 Personal L2 Offer3 Branch 691.200000 \n", + "9133 Corporate L3 Offer4 Call Center 369.600000 \n", + "\n", + " vehicle_class vehicle_size month \n", + "0 Two-Door Car Medsize 2 \n", + "2 Two-Door Car Medsize 2 \n", + "4 Four-Door Car Medsize 2 \n", + "6 Four-Door Car Medsize 2 \n", + "9 Four-Door Car Medsize 2 \n", + "... ... ... ... \n", + "9129 Four-Door Car Medsize 2 \n", + "9130 Four-Door Car Medsize 2 \n", + "9131 Four-Door Car Medsize 2 \n", + "9132 Four-Door Car Large 2 \n", + "9133 Two-Door Car Medsize 2 \n", + "\n", + "[4236 rows x 25 columns]" + ] + }, + "execution_count": 78, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "new_df" + ] + }, + { + "cell_type": "markdown", + "id": "3116a23c", + "metadata": {}, + "source": [ + "# Lab | Customer Analysis Round 3\n" + ] + }, + { + "cell_type": "markdown", + "id": "1910649c", + "metadata": {}, + "source": [ + "Show DataFrame info." + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "id": "fed7b063", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 9134 entries, 0 to 9133\n", + "Data columns (total 25 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 customer 9134 non-null object \n", + " 1 state 9134 non-null object \n", + " 2 customer_lifetime_value 9134 non-null float64 \n", + " 3 response 9134 non-null object \n", + " 4 coverage 9134 non-null object \n", + " 5 education 9134 non-null object \n", + " 6 effective_to_date 9134 non-null datetime64[ns]\n", + " 7 employmentstatus 9134 non-null object \n", + " 8 gender 9134 non-null object \n", + " 9 income 9134 non-null int64 \n", + " 10 location_code 9134 non-null object \n", + " 11 marital_status 9134 non-null object \n", + " 12 monthly_premium_auto 9134 non-null int64 \n", + " 13 months_since_last_claim 9134 non-null int64 \n", + " 14 months_since_policy_inception 9134 non-null int64 \n", + " 15 number_of_open_complaints 9134 non-null int64 \n", + " 16 number_of_policies 9134 non-null int64 \n", + " 17 policy_type 9134 non-null object \n", + " 18 policy 9134 non-null object \n", + " 19 renew_offer_type 9134 non-null object \n", + " 20 sales_channel 9134 non-null object \n", + " 21 total_claim_amount 9134 non-null float64 \n", + " 22 vehicle_class 9134 non-null object \n", + " 23 vehicle_size 9134 non-null object \n", + " 24 month 9134 non-null int32 \n", + "dtypes: datetime64[ns](1), float64(2), int32(1), int64(6), object(15)\n", + "memory usage: 1.7+ MB\n" + ] + } + ], + "source": [ + "df.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "id": "e7a1286e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(9134, 25)" + ] + }, + "execution_count": 80, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.shape" + ] + }, + { + "cell_type": "markdown", + "id": "0afda7cc", + "metadata": {}, + "source": [ + "Describe DataFrame." + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "id": "73d5d8af", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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customer_lifetime_valueeffective_to_dateincomemonthly_premium_automonths_since_last_claimmonths_since_policy_inceptionnumber_of_open_complaintsnumber_of_policiestotal_claim_amountmonth
count9134.00000091349134.0000009134.0000009134.0000009134.0000009134.0000009134.0000009134.0000009134.000000
mean8004.9404752011-01-29 20:06:21.51959705637657.38000993.21929115.09700048.0645940.3843882.966170434.0887941.463762
min1898.0076752011-01-01 00:00:000.00000061.0000000.0000000.0000000.0000001.0000000.0990071.000000
25%3994.2517942011-01-15 00:00:000.00000068.0000006.00000024.0000000.0000001.000000272.2582441.000000
50%5780.1821972011-01-29 00:00:0033889.50000083.00000014.00000048.0000000.0000002.000000383.9454341.000000
75%8962.1670412011-02-13 00:00:0062320.000000109.00000023.00000071.0000000.0000004.000000547.5148392.000000
max83325.3811902011-02-28 00:00:0099981.000000298.00000035.00000099.0000005.0000009.0000002893.2396782.000000
std6870.967608NaN30379.90473434.40796710.07325727.9059910.9103842.390182290.5000920.498712
\n", + "
" + ], + "text/plain": [ + " customer_lifetime_value effective_to_date income \\\n", + "count 9134.000000 9134 9134.000000 \n", + "mean 8004.940475 2011-01-29 20:06:21.519597056 37657.380009 \n", + "min 1898.007675 2011-01-01 00:00:00 0.000000 \n", + "25% 3994.251794 2011-01-15 00:00:00 0.000000 \n", + "50% 5780.182197 2011-01-29 00:00:00 33889.500000 \n", + "75% 8962.167041 2011-02-13 00:00:00 62320.000000 \n", + "max 83325.381190 2011-02-28 00:00:00 99981.000000 \n", + "std 6870.967608 NaN 30379.904734 \n", + "\n", + " monthly_premium_auto months_since_last_claim \\\n", + "count 9134.000000 9134.000000 \n", + "mean 93.219291 15.097000 \n", + "min 61.000000 0.000000 \n", + "25% 68.000000 6.000000 \n", + "50% 83.000000 14.000000 \n", + "75% 109.000000 23.000000 \n", + "max 298.000000 35.000000 \n", + "std 34.407967 10.073257 \n", + "\n", + " months_since_policy_inception number_of_open_complaints \\\n", + "count 9134.000000 9134.000000 \n", + "mean 48.064594 0.384388 \n", + "min 0.000000 0.000000 \n", + "25% 24.000000 0.000000 \n", + "50% 48.000000 0.000000 \n", + "75% 71.000000 0.000000 \n", + "max 99.000000 5.000000 \n", + "std 27.905991 0.910384 \n", + "\n", + " number_of_policies total_claim_amount month \n", + "count 9134.000000 9134.000000 9134.000000 \n", + "mean 2.966170 434.088794 1.463762 \n", + "min 1.000000 0.099007 1.000000 \n", + "25% 1.000000 272.258244 1.000000 \n", + "50% 2.000000 383.945434 1.000000 \n", + "75% 4.000000 547.514839 2.000000 \n", + "max 9.000000 2893.239678 2.000000 \n", + "std 2.390182 290.500092 0.498712 " + ] + }, + "execution_count": 81, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.describe()" + ] + }, + { + "cell_type": "markdown", + "id": "cd88bf89", + "metadata": {}, + "source": [ + "Show a plot of the total number of responses." + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "id": "28f4006e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(df['response'])\n", + "\n", + "\n", + "plt.xlabel('Response')\n", + "plt.ylabel('Frequency')\n", + "plt.title('Number of Responses')\n", + "plt.show()\n", + "\n", + "\n", + "# to show how many people responded\n" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "id": "88e39883", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 83, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df['response'].value_counts().plot(kind='bar')" + ] + }, + { + "cell_type": "markdown", + "id": "fae6bb4b", + "metadata": {}, + "source": [ + "Show a plot of the response rate by the sales channel." + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "id": "1e338675", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['Agent', 'Call Center', 'Web', 'Branch'], dtype=object)" + ] + }, + "execution_count": 84, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['sales_channel'].unique()" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "id": "595f1a36", + "metadata": {}, + "outputs": [], + "source": [ + "#sns.barplot(x = df['response'], y = df['sales_channel'], data = df, estimator = 'mean')\n", + "#plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "id": "11ba7b9b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "response\n", + "No 7826\n", + "Yes 1308\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 86, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['response'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "id": "5803975a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "sales_channel\n", + "Agent 3477\n", + "Branch 2567\n", + "Call Center 1765\n", + "Web 1325\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 87, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['sales_channel'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "id": "53e05337", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.countplot(x='sales_channel', data=df)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "id": "c28d7c51", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.countplot(df, x=\"sales_channel\", hue=\"response\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "id": "d3c1ee55", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.boxplot(data=df, x=\"response\", y=\"total_claim_amount\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "id": "cba0aa6c", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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customerstateresponsecoverageeducationemploymentstatusgenderlocation_codemarital_statuspolicy_typepolicyrenew_offer_typesales_channelvehicle_classvehicle_size
0BU79786WashingtonNoBasicBachelorEmployedFSuburbanMarriedCorporate AutoCorporate L3Offer1AgentTwo-Door CarMedsize
1QZ44356ArizonaNoExtendedBachelorUnemployedFSuburbanSinglePersonal AutoPersonal L3Offer3AgentFour-Door CarMedsize
2AI49188NevadaNoPremiumBachelorEmployedFSuburbanMarriedPersonal AutoPersonal L3Offer1AgentTwo-Door CarMedsize
3WW63253CaliforniaNoBasicBachelorUnemployedMSuburbanMarriedCorporate AutoCorporate L2Offer1Call CenterSUVMedsize
4HB64268WashingtonNoBasicBachelorEmployedMRuralSinglePersonal AutoPersonal L1Offer1AgentFour-Door CarMedsize
................................................
9129LA72316CaliforniaNoBasicBachelorEmployedMUrbanMarriedPersonal AutoPersonal L1Offer2WebFour-Door CarMedsize
9130PK87824CaliforniaYesExtendedCollegeEmployedFSuburbanDivorcedCorporate AutoCorporate L3Offer1BranchFour-Door CarMedsize
9131TD14365CaliforniaNoExtendedBachelorUnemployedMSuburbanSingleCorporate AutoCorporate L2Offer1BranchFour-Door CarMedsize
9132UP19263CaliforniaNoExtendedCollegeEmployedMSuburbanMarriedPersonal AutoPersonal L2Offer3BranchFour-Door CarLarge
9133Y167826CaliforniaNoExtendedCollegeUnemployedMSuburbanSingleCorporate AutoCorporate L3Offer4Call CenterTwo-Door CarMedsize
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9134 rows × 15 columns

\n", + "
" + ], + "text/plain": [ + " customer state response coverage education employmentstatus \\\n", + "0 BU79786 Washington No Basic Bachelor Employed \n", + "1 QZ44356 Arizona No Extended Bachelor Unemployed \n", + "2 AI49188 Nevada No Premium Bachelor Employed \n", + "3 WW63253 California No Basic Bachelor Unemployed \n", + "4 HB64268 Washington No Basic Bachelor Employed \n", + "... ... ... ... ... ... ... \n", + "9129 LA72316 California No Basic Bachelor Employed \n", + "9130 PK87824 California Yes Extended College Employed \n", + "9131 TD14365 California No Extended Bachelor Unemployed \n", + "9132 UP19263 California No Extended College Employed \n", + "9133 Y167826 California No Extended College Unemployed \n", + "\n", + " gender location_code marital_status policy_type policy \\\n", + "0 F Suburban Married Corporate Auto Corporate L3 \n", + "1 F Suburban Single Personal Auto Personal L3 \n", + "2 F Suburban Married Personal Auto Personal L3 \n", + "3 M Suburban Married Corporate Auto Corporate L2 \n", + "4 M Rural Single Personal Auto Personal L1 \n", + "... ... ... ... ... ... \n", + "9129 M Urban Married Personal Auto Personal L1 \n", + "9130 F Suburban Divorced Corporate Auto Corporate L3 \n", + "9131 M Suburban Single Corporate Auto Corporate L2 \n", + "9132 M Suburban Married Personal Auto Personal L2 \n", + "9133 M Suburban Single Corporate Auto Corporate L3 \n", + "\n", + " renew_offer_type sales_channel vehicle_class vehicle_size \n", + "0 Offer1 Agent Two-Door Car Medsize \n", + "1 Offer3 Agent Four-Door Car Medsize \n", + "2 Offer1 Agent Two-Door Car Medsize \n", + "3 Offer1 Call Center SUV Medsize \n", + "4 Offer1 Agent Four-Door Car Medsize \n", + "... ... ... ... ... \n", + "9129 Offer2 Web Four-Door Car Medsize \n", + "9130 Offer1 Branch Four-Door Car Medsize \n", + "9131 Offer1 Branch Four-Door Car Medsize \n", + "9132 Offer3 Branch Four-Door Car Large \n", + "9133 Offer4 Call Center Two-Door Car Medsize \n", + "\n", + "[9134 rows x 15 columns]" + ] + }, + "execution_count": 95, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "numerical = df.select_dtypes(include=[np.number])\n", + "categorical" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "id": "a15ebec7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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customerstateresponsecoverageeducationemploymentstatusgenderlocation_codemarital_statuspolicy_typepolicyrenew_offer_typesales_channelvehicle_classvehicle_size
0BU79786WashingtonNoBasicBachelorEmployedFSuburbanMarriedCorporate AutoCorporate L3Offer1AgentTwo-Door CarMedsize
1QZ44356ArizonaNoExtendedBachelorUnemployedFSuburbanSinglePersonal AutoPersonal L3Offer3AgentFour-Door CarMedsize
2AI49188NevadaNoPremiumBachelorEmployedFSuburbanMarriedPersonal AutoPersonal L3Offer1AgentTwo-Door CarMedsize
3WW63253CaliforniaNoBasicBachelorUnemployedMSuburbanMarriedCorporate AutoCorporate L2Offer1Call CenterSUVMedsize
4HB64268WashingtonNoBasicBachelorEmployedMRuralSinglePersonal AutoPersonal L1Offer1AgentFour-Door CarMedsize
................................................
9129LA72316CaliforniaNoBasicBachelorEmployedMUrbanMarriedPersonal AutoPersonal L1Offer2WebFour-Door CarMedsize
9130PK87824CaliforniaYesExtendedCollegeEmployedFSuburbanDivorcedCorporate AutoCorporate L3Offer1BranchFour-Door CarMedsize
9131TD14365CaliforniaNoExtendedBachelorUnemployedMSuburbanSingleCorporate AutoCorporate L2Offer1BranchFour-Door CarMedsize
9132UP19263CaliforniaNoExtendedCollegeEmployedMSuburbanMarriedPersonal AutoPersonal L2Offer3BranchFour-Door CarLarge
9133Y167826CaliforniaNoExtendedCollegeUnemployedMSuburbanSingleCorporate AutoCorporate L3Offer4Call CenterTwo-Door CarMedsize
\n", + "

9134 rows × 15 columns

\n", + "
" + ], + "text/plain": [ + " customer state response coverage education employmentstatus \\\n", + "0 BU79786 Washington No Basic Bachelor Employed \n", + "1 QZ44356 Arizona No Extended Bachelor Unemployed \n", + "2 AI49188 Nevada No Premium Bachelor Employed \n", + "3 WW63253 California No Basic Bachelor Unemployed \n", + "4 HB64268 Washington No Basic Bachelor Employed \n", + "... ... ... ... ... ... ... \n", + "9129 LA72316 California No Basic Bachelor Employed \n", + "9130 PK87824 California Yes Extended College Employed \n", + "9131 TD14365 California No Extended Bachelor Unemployed \n", + "9132 UP19263 California No Extended College Employed \n", + "9133 Y167826 California No Extended College Unemployed \n", + "\n", + " gender location_code marital_status policy_type policy \\\n", + "0 F Suburban Married Corporate Auto Corporate L3 \n", + "1 F Suburban Single Personal Auto Personal L3 \n", + "2 F Suburban Married Personal Auto Personal L3 \n", + "3 M Suburban Married Corporate Auto Corporate L2 \n", + "4 M Rural Single Personal Auto Personal L1 \n", + "... ... ... ... ... ... \n", + "9129 M Urban Married Personal Auto Personal L1 \n", + "9130 F Suburban Divorced Corporate Auto Corporate L3 \n", + "9131 M Suburban Single Corporate Auto Corporate L2 \n", + "9132 M Suburban Married Personal Auto Personal L2 \n", + "9133 M Suburban Single Corporate Auto Corporate L3 \n", + "\n", + " renew_offer_type sales_channel vehicle_class vehicle_size \n", + "0 Offer1 Agent Two-Door Car Medsize \n", + "1 Offer3 Agent Four-Door Car Medsize \n", + "2 Offer1 Agent Two-Door Car Medsize \n", + "3 Offer1 Call Center SUV Medsize \n", + "4 Offer1 Agent Four-Door Car Medsize \n", + "... ... ... ... ... \n", + "9129 Offer2 Web Four-Door Car Medsize \n", + "9130 Offer1 Branch Four-Door Car Medsize \n", + "9131 Offer1 Branch Four-Door Car Medsize \n", + "9132 Offer3 Branch Four-Door Car Large \n", + "9133 Offer4 Call Center Two-Door Car Medsize \n", + "\n", + "[9134 rows x 15 columns]" + ] + }, + "execution_count": 96, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "categorical = df.select_dtypes(include=[object])\n", + "categorical" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "id": "1457843c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 9134 entries, 0 to 9133\n", + "Data columns (total 25 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 customer 9134 non-null object \n", + " 1 state 9134 non-null object \n", + " 2 customer_lifetime_value 9134 non-null float64 \n", + " 3 response 9134 non-null object \n", + " 4 coverage 9134 non-null object \n", + " 5 education 9134 non-null object \n", + " 6 effective_to_date 9134 non-null datetime64[ns]\n", + " 7 employmentstatus 9134 non-null object \n", + " 8 gender 9134 non-null object \n", + " 9 income 9134 non-null int64 \n", + " 10 location_code 9134 non-null object \n", + " 11 marital_status 9134 non-null object \n", + " 12 monthly_premium_auto 9134 non-null int64 \n", + " 13 months_since_last_claim 9134 non-null int64 \n", + " 14 months_since_policy_inception 9134 non-null int64 \n", + " 15 number_of_open_complaints 9134 non-null int64 \n", + " 16 number_of_policies 9134 non-null int64 \n", + " 17 policy_type 9134 non-null object \n", + " 18 policy 9134 non-null object \n", + " 19 renew_offer_type 9134 non-null object \n", + " 20 sales_channel 9134 non-null object \n", + " 21 total_claim_amount 9134 non-null float64 \n", + " 22 vehicle_class 9134 non-null object \n", + " 23 vehicle_size 9134 non-null object \n", + " 24 month 9134 non-null int32 \n", + "dtypes: datetime64[ns](1), float64(2), int32(1), int64(6), object(15)\n", + "memory usage: 1.7+ MB\n" + ] + } + ], + "source": [ + "df.info() # just checking if I got the right amount of columns in categorical and numerical" + ] + }, + { + "cell_type": "markdown", + "id": "34a27f2f", + "metadata": {}, + "source": [ + "Now we will try to check the normality of the numerical variables visually\n", + "Use seaborn library to construct distribution plots for the numerical variables\n", + "Use Matplotlib to construct histograms\n", + "Do the distributions for different numerical variables look like a normal distribution" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "id": "23ef64da", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['customer_lifetime_value', 'income', 'monthly_premium_auto',\n", + " 'months_since_last_claim', 'months_since_policy_inception',\n", + " 'number_of_open_complaints', 'number_of_policies', 'total_claim_amount',\n", + " 'month'],\n", + " dtype='object')" + ] + }, + "execution_count": 98, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "numerical.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "id": "f1860922", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.displot(numerical, x=\"customer_lifetime_value\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "id": "7e6881f1", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.displot(numerical, x=\"customer_lifetime_value\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "id": "7b7ed8ac", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.displot(numerical['monthly_premium_auto'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "id": "9a86e7d8", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.displot(numerical['months_since_last_claim'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "id": "cd259ecb", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.displot(numerical['months_since_policy_inception'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "id": "97895740", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.displot(numerical['number_of_open_complaints'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "id": "cb87a19c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.displot(numerical['number_of_policies'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "id": "873986e0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.displot(numerical['total_claim_amount'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "id": "4c53e526", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.displot(numerical['month'])\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "2c170f7b", + "metadata": {}, + "source": [ + "Use Matplotlib to construct histograms" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "id": "9fdc28da", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['customer_lifetime_value', 'income', 'monthly_premium_auto',\n", + " 'months_since_last_claim', 'months_since_policy_inception',\n", + " 'number_of_open_complaints', 'number_of_policies', 'total_claim_amount',\n", + " 'month'],\n", + " dtype='object')" + ] + }, + "execution_count": 109, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "numerical.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "id": "e29c7c29", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(df['customer_lifetime_value'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "id": "1f514daf", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(df['monthly_premium_auto'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "id": "e4b41d92", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(df['months_since_last_claim'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "id": "44445b5e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(df['months_since_policy_inception'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "id": "4449b1c5", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(df['number_of_open_complaints'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "id": "72fc79b4", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(df['number_of_policies'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "id": "b19b82fc", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(df['total_claim_amount'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 118, + "id": "5d85d963", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(df['month'])\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "4f4a2ac1", + "metadata": {}, + "source": [ + "Do the distributions for different numerical variables look like a normal distribution\n" + ] + }, + { + "cell_type": "markdown", + "id": "82e18488", + "metadata": {}, + "source": [ + "it doesn't look like a normal distribution maybe a bit this one:" + ] + }, + { + "cell_type": "code", + "execution_count": 119, + "id": "be2328b6", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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rNXjwYO3YsUOJiYnOzMqVKxUdHa1x48apsbFRw4cP14YNGxQVFRXpJQMAAAtF/HtiOgu+JwYAgPZ1yX1PDAAAwMVAxAAAACsRMQAAwEpEDAAAsBIRAwAArETEAAAAKxExAADASkQMAACwEhEDAACsRMQAAAArETEAAMBKRAwAALASEQMAAKxExAAAACsRMQAAwEpEDAAAsBIRAwAArETEAAAAKxExAADASkQMAACwEhEDAACsRMQAAAArETEAAMBKRAwAALASEQMAAKxExAAAACsRMQAAwEpEDAAAsBIRAwAArETEAAAAKxExAADASkQMAACwEhEDAACsRMQAAAArETEAAMBKRAwAALASEQMAAKxExAAAACsRMQAAwEpEDAAAsBIRAwAArETEAAAAKxExAADASkQMAACwEhEDAACsRMQAAAArETEAAMBKRAwAALASEQMAAKxExAAAACsRMQAAwEpEDAAAsBIRAwAArETEAAAAKxExAADASkQMAACwEhEDAACsRMQAAAArETEAAMBK7R4x+fn5crlcCgQCzjFjjBYvXiy/36+4uDgNGzZMBw4cCPu5pqYm5ebmKjU1VQkJCRo7dqyOHj3a3ssFAACWaNeI2b17t9atW6drr7027PiKFStUUFCg1atXa/fu3fL5fBo5cqTq6+udmUAgoKKiIhUWFqq0tFQNDQ0aM2aMWlpa2nPJAADAEu0WMQ0NDZo4caLWr1+vbt26OceNMVq1apUWLVqkO+64Q5mZmdq4caNOnDihzZs3S5JCoZCefvppPf744xoxYoQGDhyoTZs2ad++fdq5c2d7LRkAAFik3SJmxowZGj16tEaMGBF2vLKyUsFgUDk5Oc4xt9utoUOHqqysTJJUXl6ukydPhs34/X5lZmY6M6drampSXV1d2A0AAFy6otvjpIWFhdqzZ492797d5rFgMChJ8nq9Yce9Xq8OHz7szMTGxoZdwfly5sufP11+fr6WLFkSieUDAAALRPxKTFVVlWbNmqVNmzapa9euZ5xzuVxh940xbY6d7utmFi5cqFAo5NyqqqrOffEAAMAaEY+Y8vJy1dTUKCsrS9HR0YqOjlZJSYmeeOIJRUdHO1dgTr+iUlNT4zzm8/nU3Nys2traM86czu12KykpKewGAAAuXRGPmOHDh2vfvn2qqKhwboMGDdLEiRNVUVGhvn37yufzqbi42PmZ5uZmlZSUKDs7W5KUlZWlmJiYsJnq6mrt37/fmQEAAJe3iL8nJjExUZmZmWHHEhISlJKS4hwPBALKy8tTRkaGMjIylJeXp/j4eE2YMEGS5PF4NGXKFM2ZM0cpKSlKTk7W3LlzNWDAgDZvFAYAAJendnlj7zeZN2+eGhsbNX36dNXW1mrw4MHasWOHEhMTnZmVK1cqOjpa48aNU2Njo4YPH64NGzYoKiqqI5YMAAA6GZcxxnT0ItpDXV2dPB6PQqFQu7w/ps+ClyN+TgAAbPLh8tERP+e5vH7zt5MAAICViBgAAGAlIgYAAFiJiAEAAFYiYgAAgJWIGAAAYCUiBgAAWImIAQAAViJiAACAlYgYAABgJSIGAABYiYgBAABWImIAAICViBgAAGAlIgYAAFiJiAEAAFYiYgAAgJWIGAAAYCUiBgAAWImIAQAAViJiAACAlYgYAABgJSIGAABYiYgBAABWImIAAICViBgAAGAlIgYAAFiJiAEAAFYiYgAAgJWIGAAAYCUiBgAAWImIAQAAViJiAACAlYgYAABgJSIGAABYiYgBAABWImIAAICViBgAAGAlIgYAAFiJiAEAAFYiYgAAgJWIGAAAYCUiBgAAWImIAQAAViJiAACAlYgYAABgJSIGAABYiYgBAABWImIAAICViBgAAGAlIgYAAFiJiAEAAFYiYgAAgJWIGAAAYCUiBgAAWImIAQAAViJiAACAlYgYAABgJSIGAABYiYgBAABWinjE5Ofn68Ybb1RiYqK6d++u22+/Xe+9917YjDFGixcvlt/vV1xcnIYNG6YDBw6EzTQ1NSk3N1epqalKSEjQ2LFjdfTo0UgvFwAAWCriEVNSUqIZM2bozTffVHFxsU6dOqWcnBx99tlnzsyKFStUUFCg1atXa/fu3fL5fBo5cqTq6+udmUAgoKKiIhUWFqq0tFQNDQ0aM2aMWlpaIr1kAABgIZcxxrTnP/DRRx+pe/fuKikp0S233CJjjPx+vwKBgObPny/pi6suXq9Xjz32mKZOnapQKKQrr7xSzz77rMaPHy9JOn78uNLS0rRt2zaNGjXqG//duro6eTwehUIhJSUlRfx59VnwcsTPCQCATT5cPjri5zyX1+92f09MKBSSJCUnJ0uSKisrFQwGlZOT48y43W4NHTpUZWVlkqTy8nKdPHkybMbv9yszM9OZOV1TU5Pq6urCbgAA4NLVrhFjjNHs2bM1ZMgQZWZmSpKCwaAkyev1hs16vV7nsWAwqNjYWHXr1u2MM6fLz8+Xx+NxbmlpaZF+OgAAoBNp14iZOXOm3n33XT3//PNtHnO5XGH3jTFtjp3u62YWLlyoUCjk3Kqqqs5/4QAAoNNrt4jJzc3V1q1b9eqrr6pnz57OcZ/PJ0ltrqjU1NQ4V2d8Pp+am5tVW1t7xpnTud1uJSUlhd0AAMClK+IRY4zRzJkztWXLFr3yyitKT08Pezw9PV0+n0/FxcXOsebmZpWUlCg7O1uSlJWVpZiYmLCZ6upq7d+/35kBAACXt+hIn3DGjBnavHmz/vSnPykxMdG54uLxeBQXFyeXy6VAIKC8vDxlZGQoIyNDeXl5io+P14QJE5zZKVOmaM6cOUpJSVFycrLmzp2rAQMGaMSIEZFeMgAAsFDEI2bNmjWSpGHDhoUdf+aZZ3TfffdJkubNm6fGxkZNnz5dtbW1Gjx4sHbs2KHExERnfuXKlYqOjta4cePU2Nio4cOHa8OGDYqKior0kgEAgIXa/XtiOgrfEwMAQPu65L8nBgAAoD0QMQAAwEpEDAAAsBIRAwAArETEAAAAKxExAADASkQMAACwEhEDAACsRMQAAAArETEAAMBKRAwAALASEQMAAKxExAAAACsRMQAAwEpEDAAAsBIRAwAArETEAAAAKxExAADASkQMAACwEhEDAACsRMQAAAArETEAAMBKRAwAALASEQMAAKxExAAAACsRMQAAwEpEDAAAsBIRAwAArETEAAAAKxExAADASkQMAACwEhEDAACsRMQAAAArETEAAMBKRAwAALASEQMAAKxExAAAACsRMQAAwEpEDAAAsBIRAwAArETEAAAAKxExAADASkQMAACwEhEDAACsRMQAAAArETEAAMBKRAwAALASEQMAAKxExAAAACsRMQAAwEpEDAAAsBIRAwAArETEAAAAKxExAADASkQMAACwEhEDAACsRMQAAAArETEAAMBKRAwAALBSp4+Yp556Sunp6eratauysrL0+uuvd/SSAABAJ9CpI+aFF15QIBDQokWLtHfvXn3/+9/Xj370Ix05cqSjlwYAADpYp46YgoICTZkyRT/96U/Vv39/rVq1SmlpaVqzZk1HLw0AAHSw6I5ewJk0NzervLxcCxYsCDuek5OjsrKyNvNNTU1qampy7odCIUlSXV1du6yvtelEu5wXAABbtMdr7JfnNMZ842ynjZiPP/5YLS0t8nq9Yce9Xq+CwWCb+fz8fC1ZsqTN8bS0tHZbIwAAlzPPqvY7d319vTwez9fOdNqI+ZLL5Qq7b4xpc0ySFi5cqNmzZzv3W1tb9cknnyglJeUr5y9EXV2d0tLSVFVVpaSkpIieG+HY64uHvb542OuLh72+eCK118YY1dfXy+/3f+Nsp42Y1NRURUVFtbnqUlNT0+bqjCS53W653e6wY1dccUV7LlFJSUn8H8VFwl5fPOz1xcNeXzzs9cUTib3+piswX+q0b+yNjY1VVlaWiouLw44XFxcrOzu7g1YFAAA6i057JUaSZs+erUmTJmnQoEG66aabtG7dOh05ckTTpk3r6KUBAIAO1qkjZvz48frf//6npUuXqrq6WpmZmdq2bZt69+7doetyu9169NFH2/z6CpHHXl887PXFw15fPOz1xdMRe+0yZ/MZJgAAgE6m074nBgAA4OsQMQAAwEpEDAAAsBIRAwAArETEnKOnnnpK6enp6tq1q7KysvT666939JKsl5+frxtvvFGJiYnq3r27br/9dr333nthM8YYLV68WH6/X3FxcRo2bJgOHDjQQSu+dOTn58vlcikQCDjH2OvIOXbsmO655x6lpKQoPj5e119/vcrLy53H2evIOHXqlB555BGlp6crLi5Offv21dKlS9Xa2urMsNfn57XXXtNtt90mv98vl8ull156Kezxs9nXpqYm5ebmKjU1VQkJCRo7dqyOHj0amQUanLXCwkITExNj1q9fbw4ePGhmzZplEhISzOHDhzt6aVYbNWqUeeaZZ8z+/ftNRUWFGT16tOnVq5dpaGhwZpYvX24SExPNiy++aPbt22fGjx9vevToYerq6jpw5XbbtWuX6dOnj7n22mvNrFmznOPsdWR88sknpnfv3ua+++4zb731lqmsrDQ7d+4077//vjPDXkfGr3/9a5OSkmL+8pe/mMrKSvPHP/7RfOtb3zKrVq1yZtjr87Nt2zazaNEi8+KLLxpJpqioKOzxs9nXadOmmauuusoUFxebPXv2mFtvvdVcd9115tSpUxe8PiLmHHz3u98106ZNCzvWr18/s2DBgg5a0aWppqbGSDIlJSXGGGNaW1uNz+czy5cvd2Y+//xz4/F4zNq1aztqmVarr683GRkZpri42AwdOtSJGPY6cubPn2+GDBlyxsfZ68gZPXq0uf/++8OO3XHHHeaee+4xxrDXkXJ6xJzNvn766acmJibGFBYWOjPHjh0zXbp0Mdu3b7/gNfHrpLPU3Nys8vJy5eTkhB3PyclRWVlZB63q0hQKhSRJycnJkqTKykoFg8GwvXe73Ro6dCh7f55mzJi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customer_lifetime_valueincomemonthly_premium_automonths_since_last_claimmonths_since_policy_inceptionnumber_of_open_complaintsnumber_of_policiestotal_claim_amountmonth
customer_lifetime_value1.0000000.0243660.3962620.0115170.009418-0.0363430.0219550.226451-0.006096
income0.0243661.000000-0.016665-0.026715-0.0008750.006408-0.008656-0.3552540.000169
monthly_premium_auto0.396262-0.0166651.0000000.0050260.020257-0.013122-0.0112330.6320170.011467
months_since_last_claim0.011517-0.0267150.0050261.000000-0.0429590.0053540.0091360.007563-0.020921
months_since_policy_inception0.009418-0.0008750.020257-0.0429591.000000-0.001158-0.0133330.0033350.011010
number_of_open_complaints-0.0363430.006408-0.0131220.005354-0.0011581.0000000.001498-0.014241-0.006335
number_of_policies0.021955-0.008656-0.0112330.009136-0.0133330.0014981.000000-0.0023540.009305
total_claim_amount0.226451-0.3552540.6320170.0075630.003335-0.014241-0.0023541.0000000.006820
month-0.0060960.0001690.011467-0.0209210.011010-0.0063350.0093050.0068201.000000
\n", + "
" + ], + "text/plain": [ + " customer_lifetime_value income \\\n", + "customer_lifetime_value 1.000000 0.024366 \n", + "income 0.024366 1.000000 \n", + "monthly_premium_auto 0.396262 -0.016665 \n", + "months_since_last_claim 0.011517 -0.026715 \n", + "months_since_policy_inception 0.009418 -0.000875 \n", + "number_of_open_complaints -0.036343 0.006408 \n", + "number_of_policies 0.021955 -0.008656 \n", + "total_claim_amount 0.226451 -0.355254 \n", + "month -0.006096 0.000169 \n", + "\n", + " monthly_premium_auto months_since_last_claim \\\n", + "customer_lifetime_value 0.396262 0.011517 \n", + "income -0.016665 -0.026715 \n", + "monthly_premium_auto 1.000000 0.005026 \n", + "months_since_last_claim 0.005026 1.000000 \n", + "months_since_policy_inception 0.020257 -0.042959 \n", + "number_of_open_complaints -0.013122 0.005354 \n", + "number_of_policies -0.011233 0.009136 \n", + "total_claim_amount 0.632017 0.007563 \n", + "month 0.011467 -0.020921 \n", + "\n", + " months_since_policy_inception \\\n", + "customer_lifetime_value 0.009418 \n", + "income -0.000875 \n", + "monthly_premium_auto 0.020257 \n", + "months_since_last_claim -0.042959 \n", + "months_since_policy_inception 1.000000 \n", + "number_of_open_complaints -0.001158 \n", + "number_of_policies -0.013333 \n", + "total_claim_amount 0.003335 \n", + "month 0.011010 \n", + "\n", + " number_of_open_complaints number_of_policies \\\n", + "customer_lifetime_value -0.036343 0.021955 \n", + "income 0.006408 -0.008656 \n", + "monthly_premium_auto -0.013122 -0.011233 \n", + "months_since_last_claim 0.005354 0.009136 \n", + "months_since_policy_inception -0.001158 -0.013333 \n", + "number_of_open_complaints 1.000000 0.001498 \n", + "number_of_policies 0.001498 1.000000 \n", + "total_claim_amount -0.014241 -0.002354 \n", + "month -0.006335 0.009305 \n", + "\n", + " total_claim_amount month \n", + "customer_lifetime_value 0.226451 -0.006096 \n", + "income -0.355254 0.000169 \n", + "monthly_premium_auto 0.632017 0.011467 \n", + "months_since_last_claim 0.007563 -0.020921 \n", + "months_since_policy_inception 0.003335 0.011010 \n", + "number_of_open_complaints -0.014241 -0.006335 \n", + "number_of_policies -0.002354 0.009305 \n", + "total_claim_amount 1.000000 0.006820 \n", + "month 0.006820 1.000000 " + ] + }, + "execution_count": 120, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "correlations_matrix = numerical.corr()\n", + "correlations_matrix" + ] + }, + { + "cell_type": "code", + "execution_count": 121, + "id": "5980df82", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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o3Lgx3t7etGvXjgEDBjBw4ED69+8vrbuBAwdKp6rcu3cPBwcHunbtyt27d9m9ezeXLl1i7NixeW5Pv379uHbtGkFBmZcwHzx4wL179+jXrx8Ar169YtCgQVy8eJGrV69iY2ODo6Mjr169+uR6/JyYvxfKqsqUqmLFw4t3ZZY/vHiHsrXLy81jWbM8Dy/ekU1/4Q6lq1qhpKIsN4+apjpKqiq8jZPtQPeYP5QHZ73xv3zvM7YiGxUV1CvZ8M7rlszit1630KheSWE2nc72qJYy5+X6HYUWirKqMqWrWOGXrb78Lt7Fqrb8TkPZmjb4Zdsfvhd8KJNL/eaHpk4xAN5k2Qcf4/MtQHxW+YjPqmZ5fHOkuYNVRodUSUUZZRXlHCO7H94nUa5uRel7iUTCkF9cOLXxEBG5XN43LmWKvokB9y76SJclJyXz8NoDbBRsB6SPXN+74COz7O4Fb2xqV5SbXqKkRIMOjVHX1CDg9iNpjDVa1CbycQRTfp/F2ltbmXtgMbXt6+XIX9THW1YaGe0htzTySFSV0a9WVmZKB0D0+XsY1pW/DTlXIkFFS4OkOMUDGcZNKqNtbU7s1by/6BqVMkHfxIAHWeopOSmZR9d8sc5l/6e3U9m6fXDhDta10vMoq6pQpoqVzHoBHly8Q7mM9UokEqr9UIuoxxFM+H0mK25uZsaBRdSwr5tn3F9UWmrhvL5D3/Wc61evXrFq1So8PDwYNGgQAOXKlaNJkyacO3cuz/whISF069aNqlXTv5lbWWV++zY0NATAxMREOpXizZs3rF+/nm3bttG2bVsAfvvtN06dOsXmzZuZPHmyNP+CBQto3Dh95HDo0KFMnz6doKAgaRndu3fn7NmzTJ06lTdv3rBixQrOnDlDw4YNpbFcunSJDRs20KxZM+l63d3dad269adUlww9PT10dHRQVlbGzMxMun15xSGvXhRxdHRk5MiRAMyePZv169dTt25devToAcDUqVNp2LAhUVFRmJmZ8fPPP9O3b1/pCLiNjQ2rV6+mWbNmrF+/Hg0NxZfmqlSpQrVq1fjzzz+ZNWsWADt37qRu3bqUL59+sm7RooVMng0bNmBgYMD58+dp3z730UhFPifm74WWgS7KKsq8ipEdYXsVE4+Okb7cPLrGenLTK6uqoG2gQ0JMXI48Haf2JT7yBY+ydKJrdWhEqcplWdZpxmdvR1bKBrpIVJRJfi4bR8rzOJSNck45AFAtXQLDiU6ED3SDlML7g6KtoH4TYuLRVVi/+iQUsH7zo9vMQQRe9yPCP3MOsqL4XsXEo5dLfHnt//Q0cdnSpC8HSHzznqBbj3Ac143IwGckxMZRt2MTLGtYE/M4UprHflQnUpJTOLv1WK7bpm+Svt74bGXGx8ZhZKF4KpC+sT7xsbLbEh8bj15GnB+VrFCauZ6LUFVX4/2b96wcuUQ6l1fXSA9NbU3aj+rC3mV/8tfiP6jerCbjN0xhYe/ZPLzmK11PUR5v2XWZOZCgbO0hP9QNdVBSUeZ9tpgSY+LRMNbL1zpsRrVDuZg6zw5dlVmuoqOJo89alNRUSEtJxWf6VqIv5H2fhJ5x+nGdvS4SYuIoXlLx/tcz1s/ZZrK0U20DHZRVlHMcjwlZjg8dIz00tDVpO6ozB5b/xb7FO6jSrAajf53Msj5z8c+y//9T4jnXCn3XnWs/Pz8SExNp2bLlJ+UfN24co0aN4uTJk7Rq1Ypu3brlOhocFBTEhw8fpJ1mAFVVVerVq4efn+w346zrMTU1pVixYjKdd1NTU65fT7/hwdfXl/fv3+foNCclJVGzZk2ZZXXq1Cn4huZTQeLIj+x1AEi/yGRdFh0djZmZGbdu3SIwMJCdO3dK06SlpZGamsrjx4+xtbXNtbx+/fqxZcsWZs2aRVpaGrt27ZKZqhIdHc3s2bM5c+YMUVFRpKSk8PbtW0JCQgq8bR99SsyJiYkkJibKLFNKTERdveDzFr8maaTJvJdIJJBtWa4kErnrAWg5siO1OjZmTe95JGeMVOqbF6fr7EGsG7hQuqzQpWWLRSKRv0lKSpgsncbLtX/w4emzLxNKjvqVX1dZc+TIIG95PvVyH4qFbWmWd5+dr/jII76c6XPGlyN3tja1baIHA34exeLrG0hJTiH0/mNuHLxM6SrpN3yVrlKWH4Y4sqjd1BzlN+rcFKeFI6Xvlw35SW6cEkX7XGZjcrb9tGzLIoLD+bGtG8V0tajbtgEjl7uwoNcswgPCMo4VuH3qOsc3p99oGeL7BJvaFWnZz0Gmcy0t8j8+3rLr4e5ECdvSrOo+J/9lZpe96HxuQsnODbGd1JUrg1aQGJsg81ny6/ecbjkdFS0NjO0qU3Vuf948jSbWS/ZvdKmujan581Dp+xVOCzNiklOv2c8DeWyIvH0h//jNmh58Tt3gVMb+D/V9QrlaFWjWz77oOteCQt9151pTU1PhZ0pK6TNisp7gPnyQPUkMGzYMBwcHjhw5wsmTJ1m0aBHLly/HxcVF7jo/rksi/SOQuTz7sqxPzpBIJDmepCGRSEjNmOj/8d8jR45gYWEhky57h0tLS0tubIWhIHHkR/Y6ULQsaz2MHDmScePG5VhX6dKl8yyvb9++TJs2jdu3b/Pu3TtCQ0Pp3bu39PPBgwcTExPDypUrKVOmDOrq6jRs2JCkpCS568tPG/qUmBctWsS8efNkls2cPI7ZU8bnuY1fozcvE0hJTpGO1HykbaTLq2wjeh8lxMSjk22ESsdIl5QPybx5KXuJucXw9rQe05m1/RYQ/jDzi1CpqmXRNdZn8j+LpMuUVZQpV88Wu4EOuJbvR1rqp3UkU14mkJacgoqRAVm/Bikb6pHyPOfNf0pammhUqYB6RWuMZozJWChBoqSElc9RIkZM5931Ozny5cdrBfWrY6SXS/3GyUmfXr+vXxZ8XnrPuUOo1qo2K3rOyXFDYG7xJXxGfPLT6MmMAMaGRPFLr7moaaqjoa1JQkwcQz0mEBsaDYB1PVt0iuvyk9c6aR5lFWX6zRzEi4gX/NjWTbpcRS393KRnrE9clhs8dYvrER8bp7Bu4mLicoxS6xbXzbHtKR+SiXqaPqL++F4QVtWtaTOkPVtm/Mqrl69I/pDMs2zTVp4FhlGhruwX9KI63rLqNncIVVrVZlXPubneIKpI4otXpCanoGEiG5O6kR7vFWzDRxadGlBrxQiuj1hFzEU5I9Jpabx5EgVA/IOn6NpYUMGlU47OdcSJW7y4HSh9/1on/Vyha2IgMxKdWzuG9FHqj6PeH+lmaaevX74iJTklRxtJX2+cNE3yh+QcTyWJCHqGTR3504v+E9/plI7C8F13rm1sbNDU1OT06dMMGzZM5jNj4/TLOBERERgYpDd8ec9xLlWqFM7Ozjg7OzN9+nR+++03XFxcUFNTAyAlJfOyiLW1NWpqaly6dIm+ffsC6Z2tmzdvftYznitVqoS6ujohISEyU0D+a/mJQ169FJZatWrx4MEDrK2t804sR8mSJWnatCk7d+7k3bt3tGrVSmb+/cWLF1m3bh2Ojo4AhIaGEhub8xFXH+WnDX1KzNOnT8fV1VVmmdKrLzPa+V9I+ZBC6P1gKjSpxt0sj0mr2KQa907dlJvnibc/VVrWlllW0a4aIfeCSU3ObFstRnTAYWxX1g9aSOi9YJn0/pfvs8h+ksyyvj+PIjroGf/+euiTO9YAJCeT6BuAZsNavDntJV1crGEt3py9kiN56uu3hHYeIbNMt3cHNOvVIMp1Ph+eRebIk18pH1IIuR+MbZNqMo+hq9ikGndP3ZCb57F3AFWz1a+tXXWeZqvf/Og5z4kaDvX4pfdcnofF5Ds+2ybVuKMgvmDvAKpli69StviCvf2xbVKVM5uPZElTjeDb/jnWl/QukaR3iRTT1aJS0+p4Lkqf835t/wUeXpKd1uDy+49c3H+OC3vOSDu7H8VFv6RKk+o8ffAYSJ8vW7F+ZXYv/kNh/QTe9qeKXXXpiDNA1aY1CLil+LF4kD64oKKW/ic65UMywXcDMbcqIZPGvGwJYp9FyywrquPto+7zhlDNoR5res/jhZz2kB9pH1KIu/sYk2ZVCT+WGbNJsypEHL+lMF/Jzg2p/ctIro/yIPJfn/wVJgEl9ZxdoeQ370l+8176Plwjibjol1RuUo3QLPu/Qv1K7F2s+B6KYG9/KjWpJh1xhvS2HJgxnz7lQzJP7wdTqUk1mcfzVWpSDZ+M4yPlQzJP7gZhlm3/m5Y15/mzT6vjQvGdPumjMHzXnWsNDQ2mTp3KlClTUFNTo3HjxsTExPDgwQMGDhxIqVKlmDt3LgsWLCAgIIDly5fL5J8wYQJt27alfPnyvHz5kjNnzkgv45cpUwaJRMLhw4dxdHREU1MTbW1tRo0axeTJkzE0NKR06dIsXbqUt2/fMnToUHkh5ouOjg6TJk1i4sSJpKam0qRJExISEvDy8kJbW1s6n/xLy08ciuqlMEydOpUGDRowZswYhg8fjpaWFn5+fjlu/sxNv379mDt3LklJSfzyyy8yn1lbW/PHH39Qp04dEhISmDx5cq5XP6ytrfNsQ58Ss7q6eo4rAR+SFHfyC+rt23eEhIVL3z8Lj+KhfxB6ujqYm5kUWjlZnd10hAErxhJ6N4jHtwNo1LclBiWMuJTx3OIOU/qgZ2rIDre1AFzacQq7gQ50mTkAr11nKFvLhgY9W7B9XOYNsi1HdqSda0+2j1/N87Bo6chb4pv3JL1NJPHN+xxzPZPevedN3OsCzwGVJ+73/ZgumkziA3/e3/FDt7sjKuYmJOxO7+wZThiCiokR0TN+hrQ0kgJlHwOY8iKOtKSkHMs/xZlNhxm0woWnd4N5fNufxn1bYVDCSPpc6E5T+qBvasj2jPq9uOMkzQY60G3mQC7vOk3ZWuVp1LMFW7LUr7KqMuY2JTP+r4K+qSElK5Uh8c17Yp6mj/z1nj+UOp2asGH4UhLfvEM3Yx+8S3grcyPh6U2HGZwlvib5iK95HvGd3XIU17/nYe/ciTunblC9dV0qNq7Ksh6Z01Jsm1ZHIoGooHCMLc3oOmMAUcHheO05B6TfePkm2812KcnJxMXEEREcTnbHNx+m45huRD1Jf6pHx7FdSXqfiNfBC9I0I1eM42Xkc/5emj4V7MTWw8z8ewHtnbtw69R1areuR+XG1Zjf/Udpnp6T+3Hn3G2eR8SioaVJw45NsG1QmaUDF0jTHN1wkLEerjy85ovflftUa16Tmq3q8FOvWTniLIrjDdJvHq7dqTGbhv/M+zfvpGneZ2sP+RGw4Sh114zm5Z1gXtwMwLJ/C4pZGBH8+2kAKs/ohYa5Ibdc1gPpHes6a0Zxd9bvvLgVgHpG2Snvk0h+9Q6A8i4dibsTzOsn0SipqWDWsgale9jhM3VLvmL6d8sRHMd0JepJBFGPI2g3pitJ7xK5djDzyVxOy12Ii3rO/qV/ZuQ5ypS/3Wnj3BmfU9ep0boeto2rsqRH5n47tekfhq5w4cndYIJvP6Jp39YYljDi3M6T0jQnNh5k5JqJ+F/349GV+1RuVoPqLevwc+/MaTe6xvroGetjUsasQHUtFL7vunMNMGvWLFRUVJg9ezbh4eGYm5vj7OyMqqoqu3btYtSoUVSvXp26deuyYMEC6c10kD76OmbMGMLCwtDV1aVNmzbSDpmFhQXz5s1j2rRpDBkyhIEDB7Jt2zYWL15MamoqAwYM4NWrV9SpU4cTJ05IRzY/1fz58zExMWHRokUEBwejr69PrVq1mDGjcG/U+tw4FNVLYahWrRrnz5/nxx9/xM7OjrS0NMqVK0evXr3yvY4ePXrg4uKCsrKyzK9RAmzZsoURI0ZQs2ZNSpcuzcKFC5k0aZL8FUG+2lBhxFzY7j8MwMklc47p0jUbAejUthU/zXRTlO2zeB++gpa+Dg7ju6FnbECEfyi/DlnMy2fpXxp0TfQxyPL82hdhMWwYspguswZhN8CB+OiX7Ju3lTvHM0d2mgxojYq6KkN/lY352Mo9HFu5ly/tzfHzxOrpYODcDxVjQ5ICnhIxaibJEekjicpGhqiY5/7M68JyK6N+Hcd3QzejftcNWcQLaf0aYGCR+czc52ExrBuyiG6zBtE0o373zNuKz/HMHzbRMzVkxtGfpe9bj+xI65Ed8b/6gJW906ctNR3gAMDE3bLTmH6ftJarezOfZPQxvnZZ4lubJT49EwMMs8W3dsgius8aRLOM+P6etxXvLPEF3/Zns8tKOk7qTQfXXsSERLJp7Eqe+GReytfUKUbnKX3QNyvO2/jXeB+7xsFluwo8Ov/R4V89UdNQY/CCERTT1SLIJ4Al/d15n2WE06iEEWlZRvQCbj3Cw2UFPdz60N2tN1EhUXiMXU6QT+bj0nSN9XD+ZTz6Jga8ffWW0IdPWDpwAfcvZU4VunniGlt+3EDH0V0ZOG8oEUHhrHJeiv/NnCPgRXW82Q1If3TcuN1zZdLsmLSO61naQ348O3gVdQNtKrp2Tf8RmYdhXO63lHdh6dugYapPsSzbUHZgS5RUVaix2Ikai52ky5/uPs+t8RsAUCmmTo3FTmiaG5LyPolXgeHcGLuOZwdlb3pU5PivB1DTUKPf/OFo6WkR7BPAigHzScyy/4tbGMn8uErQ7UdsdPmFzpP60Nm1FzEhUWwc+wuPs+z/G4e90NLXocP47ugZGxDuH8KqIQulxweA94nr/PHjbziO7kKfuUOIDA5n/ahlBGbZ/8372dNxQs/8VvHnE9NCFJKkZb+rQhCEr86HWPmXYL9WbnWmF3UIBTJeO66oQyiQ5a/z98SEr8W39kfmVVrBfoDra2Ao+bZ+Abf5+09/5GNROKoh/96br9WmJ19+gCHx7olCWY96NYdCWc/X5LsfuRYEQRAEQRAKV1qaeBSfIt/9j8j8P6tcuTLa2tpyX1kfDfc9uHjxosJtLaw534IgCIIgCHkRI9ffsaNHj+Z4NNxH+f2Vym9FnTp15D7tRRAEQRCEL0DMuVZIdK6/Y2XKlCnqEP4zmpqan/yIPkEQBEEQCkg8ik8hMS1EEARBEARBEAqJGLkWBEEQBEEQCkZMC1FIdK4FQRAEQRCEgkkVTwtRREwLEQRBEARBEIRCIkauBUEQBEEQhIIR00IUEp1rQRAEQRAEoWDE00IUEtNCBEEQBEEQBKGQiJFrQRAEQRAEoWDEtBCFROdaEARBEARBKBgxLUQh0bkWBEEQBEEQCkZ0rhUSc64FQRAEQRAEoZCIkWtB+Aa41Zle1CEUyPKbi4o6hAIZUWdyUYdQIKl8Wz/eoPaNjePoSL69P41vv7E20fPFpaIOoUCGlmhU1CF8ddLSvq0291/69s4ggiAIgiAIQtES00IU+raGEwRBEARBEAThKyZGrgVBEARBEISCEY/iU0h0rgVBEARBEISCEdNCFBLTQgRBEARBEAShkIiRa0EQBEEQBKFgxLQQhUTnWhAEQRAEQSgYMS1EITEtRBAEQRAEQRAKiRi5FgRBEARBEApGTAtRSIxcC4IgCIIgCAWTmlo4r0+wbt06ypYti4aGBrVr1+bixYu5pt+5cyfVq1enWLFimJubM2TIEJ4/f/5JZeeH6FwLgiAIgiAIBVNEnevdu3czYcIEfvzxR7y9vbGzs6Nt27aEhITITX/p0iUGDhzI0KFDefDgAXv27OHGjRsMGzbsc2tAIdG5FgRBEARBEL4JK1asYOjQoQwbNgxbW1tWrlxJqVKlWL9+vdz0V69exdLSknHjxlG2bFmaNGnCyJEjuXnz5heLUXSuBUEQBEEQhIJJSy2UV2JiIgkJCTKvxMREuUUmJSVx69Yt7O3tZZbb29vj5eUlN0+jRo0ICwvj6NGjpKWlERUVxd69e2nXrl2hV8lHonMtfLOaN2/OhAkTijoMQRAEQfj/U0jTQhYtWoSenp7Ma9GiRXKLjI2NJSUlBVNTU5nlpqamREZGys3TqFEjdu7cSa9evVBTU8PMzAx9fX3WrFlT6FXykXhaiPDN2r9/P6qqqkUdRpFp0t+eliM7oGuiT6R/GPvctxN846HC9Nb1bekycyBm5UsSH/WS0xsOcXnnv9LPG/ZuQb2uTTGvUAqA0HuP+efnXYTcCZK7vtajO9NhSh/ObTnKfvfthbtxWdz0ucfWP/fi+zCQmOcvWLVoFi2bNvpi5WXVaUJPmvVpjZaeFsE+AfwxaxPhAaG55qndpgFd3HpjUtqM6JBI9i/7k9snrks/L1+vEm1HdKJMVSsMTA1ZPWIJ3ievy6xj65N9cte9e+HvHN94MNfyO0/oSfOMmIMyYn6WR8x12jSga5aY9y37k1tZYm4/ugu1HRpgXs6CD++TCLj9iL8X/0FkcLg0zXYFMb979RZlVRUe+wTw56xNhAeE5RpLrTb16eTWG+PSpsSERHFg2S68T8jWT/P+9jiM7ISeiT7h/mHsdt9KQLa232FCD5r2aUUxPW25Zesa69N9+gAq2VVDQ0uDyOBwjq715PaxqwA07W9PmzFd0DMxIC0tjeSkD4T5PuHQ8t34X3mQI26b+rZ0nzkI84zj6+SGQ1zceUomTc029eng1guj0qbEhkRxcNku7py4IZNGz9SALtP6U7l5DdQ01Ih6HMGOKesJuf84R5l9Fw7Hrm9r9rhv48SWw3Sc0DNjm7V47BPIzlm/5au+O7v1xri0GTEhkXjKrW8HHEZ2RN/EgHD/UP5y30bADT/p5+rFNOg2tR817OuhbaDN87AYTm87yrkdJwEoXtKYJZdkL9lvyvi3V5+R7Nt3WGF8s2e5MmxoPwwM9Lh+3RuX8T/i6+uvMH3nzm2ZNtUF63KWqKqqEhD4mF9WbmDnTtn2WaKEGYsWzqCNQws0NTXwDwhmxAg3bnvfA8B55CDcXJ0xNzfhga8/ZxbtITCX86tN/Ur0mDmIEuVLEhf1kpMbDnJBzv7vmKVtH1y2C59sdd2svz32Wdr23+5bZcqt6VAPu36tKVPFCm1DXeY7TibM94n08+IljVl4aZ3COL9G06dPx9XVVWaZurp6rnkkEonM+7S0tBzLPvL19WXcuHHMnj0bBwcHIiIimDx5Ms7OzmzevPnzgldAjFwL3yxDQ0N0dHSKOowiUbN9Q7rOHsRJD0+WOk4j6MZDRm2bjkGJ4nLTG5Y0ZuTW9HRLHadxau0Bus0ZQvU29aRpbBpU5tYhL9b0cWdF11m8DI9l9B8/omdqkGN9pauVo1Gfljzze/rFtvGjd+/eU8Haihmuo794WVk5OnfGYWgHds7ehHvHqcTHxDFpx2w0tDQU5ilXqzyjPFy54nme2Y5uXPE8zygPN6xq2EjTqBdTJ9TvCTtnb1K4nvF1h8q8Nk/2IDU1lVsZHb/cYm4ztAN/zN7E3IyYJ+cj5tEernh5nmeWoxtenucZnS3mCvUrc/qP48zvMp2lA+ahrKzE5N9no6aZ+QdwXN2hMq/rR7xIS0tj9+Id/NRxGvExcUzcMQv1XGKxqlWeER4Tuep5HnfHSVz1PM8Ij4mUrWEtTVOnfSN6zR7CEY99uDtOIeCGH+O2/YhhCSNpmjbOnWg9tD1/zt6ssOyhK1wwsyqBx7AlzHVww/v4NUZ6TKRUZUtqt29Ij9mDUVZRJvDGQ27+cxkkEmKeRjF681R0jfVk4i5e0pgxW6cTeMOPhY5TOb7Wk55zhlCzTX1pmrK1bBjqMYFrnhf4yXEy1zwvMNxjIpZZtq2YrhaT980nJTkZj8ELmdfalX0LfudtwtscdVXdvi6WNWyIi3yRsc2dpdu8IGObXXfMzrO+R3q4csXzAvMc3bjieYGRHq6UzbLv67ZvRO/ZgznqsR93x8n43/Bj/LYZMvXda9ZgqjSrweaJq5nVagKnNh+mz9yh1GhdF4AX4c9xrTtM5jV33s+8fv2G48fPKIxv8qTRTBg/gnETZtKgUTsio2I4fnQX2tpaCvO8fBHHosWradK0IzVrt2L79t1s/m0F9q2bSdPo6+tx4dwBPnxIpn2H/lSt3pwpU9yJi08AoEePjqxYPpdFi1dTp54Dly5dx2Xbjxhk2easipc0wSVj/y9wnMKxtfvpNcdJZv9b1SrPcI+JXPM8z3zHSVzLaNuW2dp2z9lDOOqxjwWOUwi84ZejXLViGgTdfMT+JTvlxvIi/DmT6w5XWD+FqpCmhairq6OrqyvzUtS5NjIyQllZOccodXR0dI7R7I8WLVpE48aNmTx5MtWqVcPBwYF169axZcsWIiIiCr1aQHSuhW9Y1mkhlpaWLFy4ECcnJ3R0dChdujQbN26USR8WFkbv3r0xNDRES0uLOnXqcO3aNenn69evp1y5cqipqVGhQgX++OMPmfwSiYQNGzbQvn17ihUrhq2tLVeuXCEwMJDmzZujpaVFw4YNCQqSHen9559/qF27NhoaGlhZWTFv3jySk5M/a9t/GNaOq3+f4cruM0QFPWO/+3ZeRjynSX97uemb9G/Ny/Dn7HffTlTQM67sPsPVPWdpMaKDNM3vE9ZwacdJnvk+JToonF3TNqAkkVC+cVWZdakVU2fgyrHsmraRt/GvP2s78sOuYV3GjRhE6+aNv3hZWbV2as/htfu4deIaz/xD2eS2BnVNdRp0slOYx96pPQ8u3eHIOk8ig55xZJ0nfl73aO3UXprm3jlv9i/fxa0T1xSuJyEmTuZVs3U9Hl65T0xoVK4xOzi151CWmH9zW4NaHjE7ZMR8eJ0nEUHPOLzOE1+vezhkiXn5oAVc2nuWZwGhhPo9ZdPktRiVNKZs1XLSNPExcTKvmq3qEP00krM7TxDuH8pWNw/UNNWp36mJwlhaObXD99Jdjq07QGRQOMfWHeCh131aOWXOjWw9rD2X/j7Dpd1niAx6xm73bbyMiKVZlrbf0qkdR9fux/vEdYVlW9Uqz5ntx3hyJ5DY0GiOeOznbcIbylS2ouWw9lw/eBFdY33+Wf4X2yZ68OJZDK9fJKBeTANzm1Iycdv1t+dFeCx73LcTGfSMy7vP4LXnLK2yHF8tnNrx8NJdTqw7QFRQOCcytq1Flm2zH9WJl+HP+WPyep7eCeJFWAyPvO4TGyK73/VMDeg1z4mt41eTknEuaeXUjiNr93P7xDXC/UPZkrHv6+ey71tL69szo749eeh1L1t9d+DS32e4uPs0EdL6fk7zLPVdrlZ5vPad59HVBzwPi+HCrn8J83tCmYz2kZaamqNNd+rUlr/3HOLNm5xfHD4a5zKMRYtXc+DAMR48eMQQpwkUK6ZJn95dFOY5f+EKBw8e5+HDQIKDn7LGYzN37/nRuHHmQMKUyaMJCwtn2HBXbtz04enTMM6cvURwcPpgwcTxw9my9S+2bN3Fw4eBuE2ak6ONZdWsf2tehMfyt/s26f6/vOcM9iM6StO0dGqH36W7HM/Y/8cz9n/LLHXdalh7Lv99hssZbftvOW37mucFjqzey8PL9+TG8rGu/xNF8LQQNTU1ateuzalTslcFTp06RaNG8q9ovn37FiUl2e6usrIykD7i/SWIzrXw3Vi+fDl16tTB29ub0aNHM2rUKB4+TL+c9vr1a5o1a0Z4eDiHDh3izp07TJkyhdSMA9vT05Px48fj5ubG/fv3GTlyJEOGDOHs2bMyZcyfP5+BAwfi4+NDxYoV6du3LyNHjmT69OnSO4/Hjh0rTX/ixAn69+/PuHHj8PX1ZcOGDWzbto2ffvrpk7dTWVWZUlWseHjxrszyhxfvULZ2ebl5LGuW5+HFO7LpL9yhdFUrlFSU5eZR01RHSVWFt3GyHege84fy4Kw3/gpO7t8D41Km6JsYcD9LnSUnJfPo2gOsa1dQmK9czfI8yFbP9y/4YF1LcZ686BrpUe2HWlzcffqTY7bJJWbrmuVl8uQnZk2dYgC8jnsl9/Oy1a1RVVfjwt+ZMScnJeN/zZdyucRiVbM8vtlieXDBh3IZsSirqlCmilXONBfvStdrVMoEfRMDmf0gr+zAmw+p274RxfS0kUgk1O3QCBU1VQJvPqR0FSvu/nuTiIAw6ndthpqmOg8v3aO6fT3iY+IIuR+cLW4b/LIdj74XfCiT5fhK37bsae5gVSvzmK3Wqg5P7wUzbO1Elt78jRlHltC4d0uZPBKJhCG/uHBq4yEiMqZ8aOlry93mR9d8c22v8uv7jnTff6zv7G36wcU7MnUZcPMh1VvVQd/UEIAKDStjWrYEDy74yC23TBUrataowtatfymMrWzZ0pibm3Lq3/PSZUlJSVy4eJWGDesozJddix+aUKF8OS5ezLzq0769Pbdu3eWvXRsID7vDjesnGOrUFwBVVVVq1aomUy6Ab5Y2lp2ifZtz/+fetkvLadu5lfv/ytXVlU2bNrFlyxb8/PyYOHEiISEhODs7A+nTTAYOHChN36FDB/bv38/69esJDg7m8uXLjBs3jnr16lGiRIkvEqOYcy18NxwdHRk9On3qwNSpU/nll184d+4cFStW5M8//yQmJoYbN25gaJj+B8DaOvNy3LJlyxg8eLA0v6urK1evXmXZsmX88MMP0nRDhgyhZ8+e0jIaNmzIrFmzcHBwAGD8+PEMGTJEmv6nn35i2rRpDBo0CAArKyvmz5/PlClTmDNnzidtp5aBLsoqyryKiZdZ/iomHh0jfbl5dI315KZXVlVB20BH7khHx6l9iY98waMsnehaHRpRqnJZlnWa8Umxfyv0jPUBctRLfEw8RiWNc82XPU9CTJx0fZ+icbfmvH/zjpu5jHR/LPtjebLlx1M8j5jjc2xn7jH3nTmYR9d9eeYvfy53k27NAbj6z2U5sci/tP4xloRs7TQhJh7djFi0DXRQVlHOsY2vYuLQy2j7mfWQcz1Zy9449hdGeExk1Z2tJH9IJuldEutG/sy71++kx9eq/vMZ9dsUfnmwHdLSR7kWd5zGu2zTNHSN9fM8vtLT5IxbN0s9G5U2oWn/1pzedITj6zyxrG5Nz7lDSE76wLX9F4D00e2U5BTObj0mzaehrZmxjbLrT4iJ+6R9n7O+c9alXpZzza65Wxi02Jll1zaS/CGZtNQ0tk9bT+BN+XOUm/Rqga+fP1euKn4UmpmpCQBRUbEyy6OiYihTuqTCfAC6ujqEPLmFuroaKSkpjHWZwb+nM39kxKpsaUaOHMDKVb+xeMlq6tapycpf3ElMSuL06YuoqKgQna3cVzFx6Co8v+bctwkxcTn2/6e2bUXlFrki+oXGXr168fz5c9zd3YmIiKBKlSocPXqUMmXKABARESHzzOvBgwfz6tUrPDw8cHNzQ19fnxYtWrBkyZIvFqPoXAvfjWrVqkn/L5FIMDMzIzo6GgAfHx9q1qwp7Vhn5+fnx4gRI2SWNW7cmFWrViks4+P8rqpVq8ose//+PQkJCejq6nLr1i1u3LghM1KdkpLC+/fvefv2LcWKFcsRS2JiYo7HEKWkpaAskR1hTkP2clb6zRwFuMSVcfNH9vUAtBzZkVodG7Om9zySEz8AoG9enK6zB7Fu4ELpsu9Fg052DFo4Uvp+pdNCIOclQ4kk78uIOT4t6H7Jxq5nS64euJijzht2smNwlphXKIiZfMScnUQikdsuAAa4D6OkbRl+6v6jwlheZ1zt+PA+SU4seZWes86zL5NXxznilVsPmW87u/WmmJ4Wy/vO4/XLV9S0r4vzOlfWj1yWUUYafRYM49XzeJb3mEPdTo2p16kJozdPY3HH6Tk6QTnKl95clZYlTc64sy6VSJR4ei+Igz/vAiDswRNK2JSiaX97ru2/QOkqZflhiCPHVu/jlwe/A6CuqYZEWUnuNksk+anwvM8jOc81silaDnbEqoYNa4Yu4vmzWGzq2dJ//nDio1/il+0Kl6q6GvU72TFnwXKZ5X36dGH92szOTsdOAzM2KWd8ebXnV69eU7uuPdraWrT4oQnLfp7D48chnL9wBQAlJSVu3brLzFmLAfDxeUClSuVxHjGQ0xmd8JzHUe7Hsfzzcc5UOVaZ17nhM88fX9Qn/rpiYRg9erR0MCy7bdu25Vjm4uKCi4vLF44qk+hcC9+N7E8OkUgk0mkfmpqaeebPz93HWcv4+Jm8ZR/LTU1NZd68eXTt2jVHeRoa8m80WrRoEfPmzZNZVk+vEvX1qwDw5mUCKckpMiNeANpGuryKlR0Z+SghJh6dbDdh6RjpkvIhmTcvZad9tBjentZjOrO23wLCH2Z++y9VtSy6xvpM/ifzEUnKKsqUq2eL3UAHXMv3Iy31K/0jkAeff28Q7BMgfa+ilr5P9UwMZEb2dI30SIiNQxF5I766RnrEx8jfL3mxqWuLeTkL1o9dnuMz739vEJQlZtVCjjn7KBtA/7lDqdmqLgt7zuJlxo102WMpW60co9e4fnIs2du1TpZYXr98RUpySo54dYz0SMho+x/L0zXRV1i2cWlTWgxuy5zWE6VP0wjze4p1XVvqdmxESnIKtk2qUbVFbdyqD+H963fUbt+QsIch6JsY0KB7M06uz3xqS4LcuNOPr9cZx5f8NLL1HB/9kshsT/eIDAqjZtv0G+Os69miU1yXHnMGSz+XKCnRrL9DxjbL1nfWepEnfd/L3rCsm+/6Ti9HVV2NrpP7sHbkz9w7exuAsIdPKV3JEocRHXN0rms7NkBNQ40/duyRWf7PPye5ft1b+l5dXQ0AMzNjIiOjpctNTIyIipYdVc4uLS2NoKAnANy584CKFa2ZOmWstHMdERGNr5/sE0cePgykaxdHYmNfkJycjKmZ7Ih/bnWZvm8NcqRP3/+vsqTRz7nObHUtN00u+1D4Ook518L/hWrVquHj48OLFy/kfm5ra8ulS5dklnl5eWFra/tZ5daqVYtHjx5hbW2d45X9BouPpk+fTnx8vMyrjl5mHCkfUgi9H0yFJtVk8lVsUo3Ht+Q/ouqJtz8Vs6e3q0bIvWBSk1Oky1qM6ICDSzd+HbSI0Huy80r9L99nkf0kljpOlb6e3gni1oFLLHWc+s12rAHev3lP9NNI6Ss8IJS46JdUzlJnyqoqVKhfmcBbjxSuJ8jbn8pNqsssq2xXncDbivPkpmmvljy+G0ionKeyZI/5WUbMVeTEHJBLzIFyYq4iJ+YB84ZRp019lvSdS2xYtMxnWWOp2qwmj+8Gyo2lfP1KBOUSS7C3P5WytdNKdtUJyogl5UMyT+8HY5s9TZNq0vXGhkYTF/1SZj3Zy/74lJPUbG02LTUV0iSE3A+mbE2bzGWAbZNqBN96RFpqGkoS2WM32DsgZ0x21Xma5fgK9vbHtknVbGmqEXw785gNvvUIUyvZOaAmZUvw/FkMANf2X+CnNpNZ6DhF+oqLfMGpjYd49TxeTnutlGt7VVTfgdnqO0eaLPWtrKqMippqjpHe1NRUJJKc5zi7Xi3x+fcmsbGy5+LXr98QFPRE+vL19SciIopWLZtK06iqqtLUrgFXrhTsl/UkEom0sw7gdeUGFcqXk0lT3saKkJBnfPjwgdu378qUC+n7X1HbTd+3+dn/ubftEDltO7dyi1wR/fz5t0B0roX/C3369MHMzIzOnTtz+fJlgoOD2bdvH1eupI9kTJ48mW3btvHrr78SEBDAihUr2L9/P5MmTfqscmfPns3vv//O3LlzefDgAX5+fuzevZuZM2cqzCPvsUTZp4Sc3XSEhr1a0KBHc0zLWdBl1kAMShhxKeO5qh2m9KH/8jHS9Jd2nMLAwoguMwdgWs6CBj2a06BnC85s/EeapuXIjrR368WfU9bzPCwaHWM9dIz1UCuW3hFJfPOeCP9QmVfSu/e8iXtNhIK5t4Xh7dt3PPQP4qF/+lNYnoVH8dA/iIjI6Dxyfp5TWw7Tfkw3ajnUw6J8KYYtG0viu0SuHsycuzlsuQvdp/TLkucIle2q4+jcGbNyFjg6d6ZS42qc2pL5HF/1YhqUqmRJqUqWABiXMqFUJUuZR5tB+jzauo4NuZDHjYxZnciIuXZGzMOXjSUpW8wjlrvQI0vMJ7ccoUpGzOZZYj6RJeaB84fTsEtT1o9fyfs379Az1kfPWB/VLB2WjzHXc2zI+d2nZWIpUb4UQ5aNIeldItcOZn6JdVo+li5T+krfn95yhEp21Wnj3AmzciVo49wJ28ZV+XfLkcw63nQYu14tadzjB8zKWdBz1iAMSxhxfudJmfU4julKTQVlRwY9I+pxBAMWjsCyujXGpU1pPaw9tk2q4X3yOqc3HaZik2okvUtkxK+TGPzLWAxLGqOlp03xUiYYlTFlUJbj6+KOkxhaGNFt5kDMylnQsMcPNOrZgn+zHF9ntxzF1q469s6dMC1XAnvnTlRsXJUzWbbt9OYjlK1pQ5vRXTAuY0rdjo1p0qcl538/AcCbuNeE+4fKvFKSk0mIiePEb//IbLOTdJsz973Tche6Zqnvf7cczajvzhn13VlOff+TUd8tMC9nQa9ZgzEsYcS5jPp+//odj64+oMf0AVRoUBmjkiY06t6chl2b4X1S9j4BkzJm2NSzzfPm3I9Wr9nEtKkudOrUhsqVK7Bl8y+8ffuOXX95StNs3bKKnxZMk76fOmUsrVraUbZsaSpUKMeE8SMY0L87O//cL02zatVv1K9fi2lTXShXzpLevTszbFg/1v26DYBfVv3GUKc+DB7Ui4oVrVn+81wMSxhxIWObO0/py+DlmTeun99xiuIWRvSYOQizchY06vEDjXu24OTGQ5n7NqNtO2Tsf4eMtn06S13/u+kwTXq1pFFG2+6R0bYvZGnbxfS0KVnJEnPr9HnnZlYlKFnJMseI938iLa1wXt8hMS1E+L+gpqbGyZMncXNzw9HRkeTkZCpVqsTatWsB6Ny5M6tWreLnn39m3LhxlC1blq1bt9K8efPPKtfBwYHDhw/j7u7O0qVLUVVVpWLFigwbNuyz1ut9+Apa+jo4jO+GnrEBEf6h/DpkMS+fpV8u1TXRx8Ai85nXL8Ji2DBkMV1mDcJugAPx0S/ZN28rd45n/oBBkwGtUVFXZeivbjJlHVu5h2Mr935WvJ/j/sMAnFymSt8vXZP+iMVObVvx00w3Rdk+29FfD6CqocaA+SOkP8iyfIA779+8l6YpbmEkM2IXePsRv7qsoOukvnRx7U10SBS/jl0hM+XEslo5pv3lLn3fZ1b6DbCX9p5l8yQP6fL6HZqARMK1Q7JXVPKKWU1DjYHzR1As44dvfs4Ws6GFEanZYl7nsoJuk/rSLSPmddlibjmgDQAzds+XKe+3SR5c2pv5RJ0GGTFfPXSJd6/eSmNJ/xGeQH4ZsIDEbLFkrb+g2/5sdFlJ50m96eTam5iQSDaO/YXHPoHSNDcPe6Gtr0378d3RM07/UZPVQxby4lnmVIHjvx5EVUONvvOHyS07JTmF1UMW0nVqP1w2TUVdS4Pop5FsdVvL/XPeqCBBS1+Hti7dqNikKmmp6T8iY2Fbhl9HLKV2+0YYWmR+GXoeFsPaIYvoPmsQzTKOr7/nbcX7eGbnMvi2P5tdVtJxUm86uPYiJiSSTWNX8iTLtj29G8SvI5fReUpfHMd3IzY0mj3u27lxMO82cDxj3/ebP1z6o0crBsyXqe/09po5Uhh0+xEbXX6h86Q+dHbtRUxIVEZ9Z+77G4e90NLXoYO0vkNYla2+N7j8QrcpfRm2chxa+to8fxaL58+7pD8i81Hjni2Ii3yB7wXZJ2Io8vOydWhqauCxeqH0R2TatuvL69dvpGlKlyohnYYHoKVVjDWrF1GypBnv3r3n0aMgBg4ex549mR3dm7fu0L3HMBYsmMbMHyfw+Ekorm5z2LUrvdO+Z88hihsaMPPHiZibm3D/wSM8smyznolBtv0fzZohi+iZZf/vnrclx/7f5LKSTpN60zGjbf829heZ/X/zsBda+tq0y9K2PbLVdfXWdRi8LPOL3XCPiQD8s/JvDq+UnWrzxX2no86FQZL2pR7yJwhCoRln2auoQyiQ5Tfl/3Tt12pEnclFHUKBfGt/0tS+sYukKsj/pbev2YdvrFVsC79S1CEUyNAS/82vwhaWDU++fEf73a5Pe+JVdpp95uWd6BsjRq4FQRAEQRCEghEj1wqJzrUgCIIgCIJQMEX0nOtvwbd1rU4QBEEQBEEQvmJi5FoQBEEQBEEoGDEtRCHRuRYEQRAEQRAKRjwPQyExLUQQBEEQBEEQCokYuRYEQRAEQRAKRkwLUUh0rgVBEARBEISCEZ1rhcS0EEEQBEEQBEEoJGLkWhAEQRAEQSgY8ZxrhUTnWhAEQRAEQSiQtFTxtBBFROdaEARBEARBKBgx51ohMedaEARBEARBEAqJGLkWBEEQBEEQCkbMuVZIdK4FQRAEQRCEghFzrhUS00IEQRAEQRAEoZCIkWtB+AaM144r6hAKZESdyUUdQoFsvPlzUYdQIOPqTCvqEApEGUlRh1Agb0kp6hC+e/HT7Io6hAKZ/LuYApGDuKFRIdG5FgRBEARBEApGdK4VEtNCBEEQBEEQBKGQiJFrQRAEQRAEoWDSxA2NiojOtSAIgiAIglAwYlqIQqJzLQiCIAiCIBSMeBSfQmLOtSAIgiAIgiAUEjFyLQiCIAiCIBSM+IVGhUTnWhAEQRAEQSgYMS1EITEtRBAEQRAEQRAKiRi5FgRBEARBEAokTTwtRCHRuRYEQRAEQRAKRkwLUUhMCxEEQRAEQRCEQiI610Vs7ty51KhRI9c0zZs3Z8KECf9JPP+1c+fOIZFIiIuLK+pQBEEQBEHIr7TUwnl9h8S0kP+QRCLB09OTzp07F3UoX41GjRoRERGBnp5eUYfy2Zo3b06NGjVYuXJlUYcipdurPfpDeqBsbMiHwKfELvmV97fv55lPo2YlSmxdRlLgE8K6jy60eDpN6EmzPq3R0tMi2CeAP2ZtIjwgNNc8tds0oItbb0xKmxEdEsn+ZX9y+8R16efl61Wi7YhOlKlqhYGpIatHLMH75HWZdWx9sk/uuncv/J3jGw9+/oZlcdPnHlv/3Ivvw0Binr9g1aJZtGzaqFDLkKdpf3taj+yInok+Ef5h7HHfRuCNhwrT29S3pfvMQZiXL0l81EtObjjExZ2nZNLUbFOfDm69MCptSmxIFAeX7eLOiRvSz9tN6EH7CT1k8sTHxDGt7ohP2ga7/va0HNlBug373LcTlMs2WNe3pevMgdJt+HfDIS7t/Ff6eaPeLajXtSklKpQCIOTeY/75eRdP7wR9UnzwsQ23opieFsE+geyY9RvhAWG55qndpj5d3HpjXNqMmJBI9i/bla0N29JmRCcsq1qhb2rImhFL8D55Q2YdnSb0pF6HxhiaFyf5QzJP7wWzf9kugn0Cvsp4aznUp3m/1pSpYoWOoS5zHCcR6vsk13KzU6nbGtUmHZBo65MaE0bSsd9Jfaq4PaCsgmrzbqhUb4JEW5+0hBd8OO9Jsve59I9t66LatDNKhmagrEzq80iSvY6QfOdigeL6qGl/e1plO+Zya6829W3pluWYO5XtmDO3KUl7116UrlqW4iVN2OO+jbNbjsqsw7qeLa1HdKRU1bLomxqyYcTP3MlW9/8ZMS1EITFyLeQpKSnpi61bTU0NMzMzJBLJFyvj/5VWm2YYTXPm5W+7COsxmne372P+6wJUzIxzzaekXQyThZN5d827UONxdO6Mw9AO7Jy9CfeOU4mPiWPSjtloaGkozFOuVnlGebhyxfM8sx3duOJ5nlEebljVsJGmUS+mTqjfE3bO3qRwPePrDpV5bZ7sQWpqKreOXS3UbQR49+49FaytmOFaeF9K8lK7fUN6zB7McY/9LHScSuANP8Zsm4FBieJy0xcvacyYrdMJvOHHQsepHF/rSc85Q6jZpr40TdlaNgz1mMA1zwv85DiZa54XGO4xEcsa1jLrCn8UwtS6w6WvBQ5un7QNtdo3pNvsQZzw8GSx4zSCbjxk9LbpuW7DqK3p6RY7TuPE2gN0nzOEGm3qSdPYNKjMrUNerOrjzvKus3gZHsuYP35Ez9Tgk2Js69wZ+6Ht2TF7M/M7Tst3G3b2cMXL8wJzHN3w8ryAs4drtjasQajfE3bM3qxwPZHB4eycvYnZDq4s6j6T2LBoXH+fiY6h7lcZr3oxdQJuPmTvkp0K0+RGuUpD1NoO4sN5T96tn0bq04do9J+GRE9+ewBQ7zkBZasqJB7YwLvVriTuWU1qbLj087R3b/hw4QDvfpvFu7VTSfY+j1pnZ5StqxU4vtrtG9I945hblM9jbnTGMbco45jrMWcINbIcc2qa6sSGRHFgyZ/ER7+Uux61YuqE+T3h79lbChyz8N/5v+xcN2/eHBcXFyZMmICBgQGmpqZs3LiRN2/eMGTIEHR0dChXrhzHjh2T5jl//jz16tVDXV0dc3Nzpk2bRnJyssw6x40bx5QpUzA0NMTMzIy5c+dKP7e0tASgS5cuSCQS6fuP/vjjDywtLdHT06N37968evVKbuzu7u5UrVo1x/LatWsze/bsPLd98ODBdO7cmXnz5mFiYoKuri4jR46U6UA3b96csWPH4urqipGREa1btwbA19cXR0dHtLW1MTU1ZcCAAcTGxn5WvWafFiJvmszKlStl6uvjNixcuBBTU1P09fWZN28eycnJTJ48GUNDQ0qWLMmWLfk/+UydOpXy5ctTrFgxrKysmDVrFh8+fMhRZlYTJkygefPm0s/Pnz/PqlWrkEgkSCQSnjx5AuTddr4U/YFdSdh/glf7jvMhOJTnS34lOTIG3d7tc81nNGc8r46c5f0dv0KNp7VTew6v3cetE9d45h/KJrc1qGuq06CTncI89k7teXDpDkfWeRIZ9Iwj6zzx87pHa6fMbbh3zpv9y3dx68Q1hetJiImTedVsXY+HV+4TExpVqNsIYNewLuNGDKJ188aFvm5FWg5rj9ffZ7i8+wyRQc/Y476dlxGxNO1vLz/G/va8CI9lj/t2IoOecXn3Gbz2nKXViA7SNC2c2vHw0l1OrDtAVFA4J9Yd4KHXfVo4tZNZV0pKKgkx8dLX6xfyz115aTGsHVf+PsOV3WeICnrGPvftvIx4jp2CbWjSvzUvw5+zz307UUHPuLL7DFf3nKVllm3YPmENF3ec5JnvU6KCwvlz2gYkEgkVGuc8h+ZHa6d2HF67n9sZbXiz2xrUNNWpn0sbbu3UDt9Ldzm6zpPIoHCOSttwZj3eO+eN5/K/uJ1LG7526BK+l+8RExpNeEAYfy3YTjFdLUpWLPNVxnvF8wL/rN6L7+W7CtPkRrVRO5JvnyX59lnSYsNJOvY7aQnPUanbWm56ZevqKFva8n7HYlKD75MWF0PqsyBSQ/2laVKf+JLid4O02HDSXkaRfPUYqVEhKJWuWOD4WmQcc14Zx9xe9+3E5XHMvQyPZW/GMee1+wxXsh1zT+8G4bloB7f+8SI56YPc9fie8+Gf5bvxOXFd7uf/qdTUwnl9h/4vO9cA27dvx8jIiOvXr+Pi4sKoUaPo0aMHjRo14vbt2zg4ODBgwADevn3Ls2fPcHR0pG7duty5c4f169ezefNmFixYkGOdWlpaXLt2jaVLl+Lu7s6pU+mXfG7cSL9ss3XrViIiIqTvAYKCgjhw4ACHDx/m8OHDnD9/nsWLF8uN28nJCV9fX5n8d+/exdvbm8GDB+dr20+fPo2fnx9nz55l165deHp6Mm/evBzboqKiwuXLl9mwYQMRERE0a9aMGjVqcPPmTY4fP05UVBQ9e/b85Hr9HGfOnCE8PJwLFy6wYsUK5s6dS/v27TEwMODatWs4Ozvj7OxMaGjuUw4+0tHRYdu2bfj6+rJq1Sp+++03fvnll3zHs2rVKho2bMjw4cOJiIggIiKCUqVK5bvtFDoVFdQr2fDO65bM4rdet9CoXklhNp3O9qiWMufl+h2FGo5xKVP0TQy4f/GOdFlyUjKPrj3AunYFhfnK1SzPgyx5AO5f8MG6luI8edE10qPaD7W4uPv0J6/ja6KsqkzpKlb4Zqsnv4t3sVJQt1Y1bfC7KNvp8b3gQ5mqViipKGekKY9vjjR3sKpVXmaZiaUZi679yvyLHgxdMx6jUiaftA2lqljliMnv4h3K1i4vN0/ZmuXxy7bNvhfuUDrLNmSnpqmOsqoKb+NeFzhG41Im6JsYyLTH9Dbsm2cbvp+jDd+h3Ge0YWVVFZr1ac3bhDeE+j356uMtMGVllMzLkhIk2x5SAu+iXFp+e1CuWJvU8GBUm3REc9I6NMf9gppDf1BRVViMklUVlIzMSXlasIGEj8dc9vaX2zFXNh/H3DcnNa1wXt+h/9vOdfXq1Zk5cyY2NjZMnz4dTU1NjIyMGD58ODY2NsyePZvnz59z9+5d1q1bR6lSpfDw8KBixYrSkd/ly5eTmuVbV7Vq1ZgzZw42NjYMHDiQOnXqcPp0+h9wY+P0S/H6+vqYmZlJ3wOkpqaybds2qlSpgp2dHQMGDJDmy65kyZI4ODiwdetW6bKtW7fSrFkzrKys8rXtampqbNmyhcqVK9OuXTvc3d1ZvXq1zLZYW1uzdOlSKlSoQMWKFVm/fj21atVi4cKFVKxYkZo1a7JlyxbOnj2Lv3/myEBB6vVzGBoasnr1aipUqICTkxMVKlTg7du3zJgxQ1q2mpoaly9fztf6Zs6cSaNGjbC0tKRDhw64ubnx999/5zsePT091NTUKFasGGZmZpiZmaGsrJzvtlPYlA10kagok/w8TmZ5yvM4lI3kXxJXLV0Cw4lORE9dAimFG5uesT6QPoKcVXxMPHrGii/R6xnr58iTEBMnXd+naNytOe/fvONmLqNu3xJtA12UVZR5FRMvs/xVTDx6Rvpy8+ga68tNr6yqgraBTpY0cdnSxKGbpe6f+ASw3XUtawb+xM5pG9A11mfS/gVo6WsX2jboKtwGvTy3IbtOU/sSH/mCh5fvFSi+9PLS22lB22NhtuHqLWqz7sEfbHj0J/ZD27GsvzuvX8q/UvA1xPupJMV0kSgrk/Zadv+mvYlHoi0/DomBCUqlK6BkUorEXctJOrYd5Ur1UWvvJJtQXZNiP26j2JwdaPSbQtKRbaQGFaw9KGqvCbm2V30SCthev3rihkaF/m9vaKxWLXOOlbKyMsWLF5eZbmFqagpAdHQ0fn5+NGzYUGZecOPGjXn9+jVhYWGULl06xzoBzM3NiY6OzjMWS0tLdHQyD6688g0fPhwnJydWrFiBsrIyO3fuZPny5XmW81H16tUpVqyY9H3Dhg15/fo1oaGhlCmTfomxTp06Mnlu3brF2bNn0dbO+UczKCiI8uXTRxMKUq+fo3LlyigpZX43NDU1pUqVKjnKzm85e/fuZeXKlQQGBvL69WuSk5PR1VU8lzG/8tt2skpMTCQxMVF2WWoq6kqf8F04LduogEQC8gYKlJQwWTqNl2v/4MPTZwUvJ5sGnewYtHCk9P1Kp4UZ4cgWLpHkXJZdjk8lEnlL882uZ0uuHrhIcqL8y67fqrTsdSKRsyzX9BLpJ+T4X9Y0mUsfnPOR/j/8USjBt/1xv7CGBt2acXrzkXzHnjUq2eIkuW5DzvAkGWvJmafVyI7U7tiYVb3n5WvfN+hkx8CFmTdmrnRalL5uOcdUXm1Y3nZ9Shv2u3KfuY6T0TbUoVnvVoxa68qCztN59Tzhq4z388kpU0HsEkn6+TFx7xpIfAdA0vHfUe81kaTDWyA5Y58nvefd+qlI1DRQsqqCWpsBpL6MJvWJ7ydEJ+d8lms95X3MCd+H/9vOtaqq7KUiiUQis+zjSTo1NZW0tLQcN9x9PDllXS5vnfkZnSxovg4dOqCuro6npyfq6uokJibSrVu3PMvJS9Zt0dLSkvksNTWVDh06sGTJkhz5zM3Npf8vSL3Ko6SklOPEn3Xuc37L+bgsP/V/9epVevfuzbx583BwcEBPT4+//vpL5gtLfuPKLr9tJ6tFixblmKbjYmzFeBNruenlSXmZQFpyCipGBmTtpisb6pHyPOeNMkpammhUqYB6RWuMZozJWChBoqSElc9RIkZM5931OznyKeLz7w2ZpxioqKXvGz0TA+KzjIrpGumREBuHIvFyRsx0jfSIzzYClF82dW0xL2fB+rH5/zL6tXv9MoGU5BSZEWUAHSM9EmLl11NCthHo9PS6pHxI5vXL17mk0csx+pZV0rtEwh+GYFLWXGGa3LZBJ1t52ka6vFK4DfHoGOvlSJ/yIZk3L2WnfbQc3h77MZ3x6LeA8Ich+YopZxtO/3Mpvw0rrpP4mDjpKPJHOp/YhpPeJRL9NJLop5EEewew6Owa7Hq15Og6z68y3k+V9jaBtJSUHKPUEi090t7IjyP11UskCS+kHWuA1JhnSJSUkOgWJ+1FZMbK00h7EUUakBr5FCVjC1SbdiKxAJ3r3I45xe0172Pum/OdTukoDP+300IKolKlSnh5ecl0rry8vNDR0cHCwiLf61FVVSUlJeWz41FRUWHQoEFs3bqVrVu30rt3b5mR6LzcuXOHd+8yT0BXr15FW1ubkiVLKsxTq1YtHjx4gKWlJdbW1jKv7B3xz2FsbExkZKRMXfv4+BTa+uW5fPkyZcqU4ccff6ROnTrY2Njw9OnTHHFFRETILMsel5qaWo79+yltZ/r06cTHx8u8nI3yN+VHKjmZRN8ANBvWkllcrGEt3t/J+Uck9fVbQjuPIKz7KOkr4e8jJAWHEtZ9FO/v5fL4Kznev3kv7QREP40kPCCUuOiXVG6S5cqGqgoV6lcm8NYjhesJ8vancpPqMssq21Un8LbiPLlp2qslj+8GEur3NO/E34iUDymE3A/GtonslTPbJtUIVlC3wd4BOdJXsqvO03vBpCanZKTxx7ZJ1WxpqhF82x9FVNRUMLO2UPikg9y2IfR+MBWzxVSxSTUe35Jf3mNv/xzpbe2qEZJlGwBajuhAG5durBu0iJB7wfmOKWcbDiMu+iWVcrThSvlow7JxVrGrTtAntmEZElDN+OL6TcSbXykppEY8RrmcbPtTLleVlBD57SE1xB+JjgGoqUuXKRmZk5aaSlrC81wKkyBRVjwvW254Co65irkcc4+9A+S0V9lj7luTlppaKK/vkehc58Po0aMJDQ3FxcWFhw8fcvDgQebMmYOrq6vM1IS8WFpacvr0aSIjI3n5smB/fLIbNmwYZ86c4dixYzg5OeWdIYukpCSGDh2Kr68vx44dY86cOYwdOzbXbRkzZgwvXrygT58+XL9+neDgYE6ePImTk1OhfGH4qHnz5sTExLB06VKCgoJYu3atzNNFvgRra2tCQkL466+/CAoKYvXq1Xh6esqkadGiBTdv3uT3338nICCAOXPmcP++7POiLS0tuXbtGk+ePCE2NpbU1NRPajvq6uro6urKvD5lSkjc7/vR7dYGnS72qFqVoviUkaiYm5CwO/1yveGEIZgsnJyeOC2NpMCnMq+UF3GkJSWRFPiUtHeJuZSUP6e2HKb9mG7UcqiHRflSDFs2lsR3iVw9mPmM2WHLXeg+pV+WPEeobFcdR+fOmJWzwNG5M5UaV+PUlsPSNOrFNChVyZJSlSyB9Bu5SlWyxLCEkUz5Gtqa1HVsyIUvfCPj27fveOgfxEP/9GcpPwuP4qF/EBGRnzcVKjenNx2mca+WNOzxA2blLOg+axAGJYykz9DtNKUPg5aPkaa/uOMkhhZGdJs5ELNyFjTs8QONerbg343/SNOc3XIUW7vq2Dt3wrRcCeydO1GxcVXObMmc7tF1xgBs6ttSvKQxljWsGb7ODQ1tTa7uO1/gbTiz6QiNerWgQY/mmJazoOusgRhm2YaOU/owIMs2XNpxCkMLI7rOHIBpOQsa9GhOw54tOJ1lG1qN7Eh7t17snLKe52HR6BjroWOsh1ox9Rzl58epLUdoP6artA0PXTaGpHeJXMvWhrtN6Zslz1Eq21WnrXNnzMqVoK1zZ2wbV+VUlnrM3oaNSpnKtGE1TXW6Tu6LVU0bilsYUbpyWQYvdsbQvDg3jnh9dfECaOlpU6qSJSWs0wdtzKxKUKqSZY7RW0U+eB1BpVYLVGo2R2JUArU2A5HoGZF8I/055qqteqPWNfNxl8n3LpH27jXqnUchMbZAqUxF1Oz7k3z7rHRKiKpdJ5TKVUViYILEqAQqjRxRqWH3Sc+5PrPpMI2yHHPdCuGYU1ZVpmSlMpSsVAZlVRX0TQ0pWakMxmVMpWnUi6lL0wAUL2VCyUplFD4C8Hu1bt06ypYti4aGBrVr1+bixdz3YWJiIj/++CNlypRBXV2dcuXKFeiJYgX1fzstpCAsLCw4evQokydPpnr16hgaGjJ06FBmzpxZoPUsX74cV1dXfvvtNywsLKSPavsUNjY2NGrUiOfPn1O/fv28M2TRsmVLbGxsaNq0KYmJifTu3VvmsYHylChRgsuXLzN16lQcHBxITEykTJkytGnTpkBfMPJia2vLunXrWLhwIfPnz6dbt25MmjSJjRs3FloZ2XXq1ImJEycyduxYEhMTadeuHbNmzZKpEwcHB2bNmsWUKVN4//49Tk5ODBw4kHv3Mm+EmTRpEoMGDaJSpUq8e/eOx48fY2lpWSht51O8OX6eWD0dDJz7oWJsSFLAUyJGzSQ5Ir2Tp2xkiIp57s+8LkxHfz2AqoYaA+aPQEtPiyCfAJYPcOf9m/fSNMUtjGRG+QNvP+JXlxV0ndSXLq69iQ6J4texK2Quf1tWK8e0v9yl7/vMGgLApb1n2TzJQ7q8focmIJFw7dClL7mZ3H8YgJPLVOn7pWvS226ntq34aeanPQM6L7cOX0FLX4d247uha2xAhH8oa4cs4sWz9Edl6pkYYGiR2fF5HhbD2iGL6D5rEM0GOBAf/ZK/523F+3jmTZ7Bt/3Z7LKSjpN608G1FzEhkWwau5InPoHSNAbmhjitHo+2gS6vXyTw2DuApV1+lJZbELcztqFtlm1YN2QxLzPWpWuij6FFZgfieVgM64csptusQdhlbMPeeVvxOZ75iDK7Aa1RVVdl2K+y9X505R6Ortxb4BiP/XoANQ01+s8fLv0hpOUD5su0YUMLI1Kz3KQVdPsRv7r8QtdJfeji2iujDf+Sow1P/StzKlifWYOB9Da8ZdJaUlNTMS9nQeNuzdA20OVN3Cse3w1iUY9Zuf4gTFHFC1CjdR2GLhsrTTPKwxWAgyv/5uDKvG8WT7l/hSRNbVSbd0NNR5/U6FDe71hMWnx6e5DoGKCkl+ULdFIi77f/hHq7wWiOXEjau9fp6zi9OzONmjrq7Z2Q6BaHD0mkxoaTuG8tKfev5BlPdh+POUeZ9pp5zOmaGGCQ7ZhbN2QR3WYNomlGe90zbys+WY45PVNDZhz9Wfq+9ciOtB7ZEf+rD1jZO72+S1crx8S/5krTdJ81CIAre8/xx6R1Bd6Oz1JE00J2797NhAkTWLduHY0bN2bDhg20bdsWX19fufcxAfTs2ZOoqCg2b96MtbU10dHRX/SRuJK0vO9sEL5CaWlpVKxYkZEjR+Lq6prvfIMHDyYuLo4DBw58ueCEQhdUxaGoQyiQBa8L9rSIorbx5s95J/qKjKszrahDKBBlvq0fiXrLt3mZ/luyZuC3NbY3+fdva/rCuif5f9rVp3o9uUuhrEf7Z8+8E2VRv359atWqxfr166XLbG1t6dy5M4sWLcqR/vjx4/Tu3Zvg4GAMDQ0/O978ENNCvkHR0dGsWLGCZ8+eMWTIkKIORxAEQRAE4YtLSkri1q1b2NvL/liPvb09Xl7yp0gdOnSIOnXqsHTpUiwsLChfvjyTJk2SufessH1bXx0FIP2xc0ZGRmzcuBEDA9m7uuU9Ku+jLz13+Wu1cOFCFi5cKPczOzu7/9t6EQRBEIRPVkjPqJb3+Fl1dXXU1XPeGxEbG0tKSor0sb4fmZqaEhkZKXf9wcHBXLp0CQ0NDTw9PYmNjWX06NG8ePHii827Fp3rb1BuM3lye7KGhYUFdnaKf/b2e+Xs7JzjlyQ/0tTU/I+jEQRBEITvQCHNuZb3+Nk5c+bkei+YvEfcKnq8bWpqKhKJhJ07d6Knl/74zhUrVtC9e3fWrl37RfoBonP9nbG2zv+zkP9fGBoa/mfzrARBEARByL/p06fnuHdM3qg1gJGREcrKyjlGqaOjo3OMZn9kbm6OhYWFtGMN6XO009LSCAsLw8bG5jO3ICcx51oQBEEQBEEokLTUtEJ5yX38rILOtZqaGrVr1+bUqVMyy0+dOkWjRo3k5mncuDHh4eG8fp35Yz3+/v4oKSnl+vsen0N0rgVBEARBEISCSU0rnFcBubq6smnTJrZs2YKfnx8TJ04kJCQEZ2dnIH0kfODAgdL0ffv2pXjx4gwZMgRfX18uXLjA5MmTcXJy+mJTQ8W0EEEQBEEQBKFgiujXFXv16sXz589xd3cnIiKCKlWqcPToUcqUSf9hnYiICEJCQqTptbW1OXXqFC4uLtSpU4fixYvTs2dPFixY8MViFJ1rQRAEQRAE4ZsxevRoRo8eLfezbdu25VhWsWLFHFNJviTRuRYEQRAEQRAKpoh+ofFbIDrXgiAIgiAIQsGIzrVC4oZGQRAEQRAEQSgkYuRaEARBEARBKJDcftDu/53oXAuCIAiCIAgFI6aFKCSmhQiCIAiCIAhCIREj14IgCIIgCELBiJFrhUTnWhAEQRAEQSiQNNG5Vkh0rgXhG7D8tV5Rh1AgqaQUdQgFMq7OtKIOoUBW31xc1CEUyMDarkUdQoHoS9SKOoTv3qTfi+bX/T7V+2/snCYULdG5FgRBEARBEApGjFwrJDrXgiAIgiAIQsF8Wxcf/lOicy0IgiAIgiAUiJhzrZh4FJ8gCIIgCIIgFBIxci0IgiAIgiAUjBi5Vkh0rgVBEARBEISCEXOuFRLTQgRBEARBEAShkIiRa0EQBEEQBKFAxA2NionOtSAIgiAIglAwYlqIQmJaiCAIgiAIgiAUEjFyLQiCIAiCIBSImBaimOhcC4IgCIIgCAUjpoUoJKaF/Afmzp1LjRo1/m/KVaR58+ZMmDChqMNQSCKRcODAgXyn/9rqVxAEQRCEoidGrguZRCLB09OTzp07F3UoTJo0CRcXl6IO44t48uQJZcuWxdvbu8g6uEVdv03729NqZEf0TPSJ8A9jj/s2gm48VJjepr4t3WYOwrx8SeKjXnJqwyEu7jwl/dzcpiTtXXtRumpZipc0YY/7Ns5uOSqzDofRnanhUA/TchZ8eJ9E8G1/PBfvIDo4Il8xd57Qk+Z9WqOlp0WQTwB/zNrEs4DQXPPUadOArm69MSltRnRIJPuW/cmtE9eln7cf3YXaDg0wz4gp4PYj/l78B5HB4dI025/sk7vuvxb+zrGNB+V+1rS/Pa2z1W9gHvXbPUv9nsxWvwA129Sng1svjEqbEhsSxcFlu7hz4ob083YTetB+Qg+ZPPExcUyrO0JxBX2mmz732PrnXnwfBhLz/AWrFs2iZdNGX6y87LpN6E3LvvZo6WkR6B3A1lkbCMujTdRr25Aebn0xLW1GVEgku3/ewc0T1+Sm7TS6G72nDuDY5n/43X2zTLkNOzSheAkjkj8k8/heELt/3kGQTwDwbez/vguHY9e3NXvct5GclPyfx6uupUFHt15Ut6+HjpEeoQ8es2feNp7eDZKmqeFQD7t+rShdxQptQ11+cpxMmO/TIqnfBZc8KF7SJMe6z/9+gr9mZ7YNs3IWdJnWD5v6lZAoSYgICMVjzHJehMfmyNtpQk+aZZzTgjPOaeF5tN/abRrQJcs5bf+yP7md5ZzWLuOcZpZxTgu8/Yg92c5ptR3q07yfPWWqWKFjqMtsRzdCfZ/kWm5hSxMj1wqJkevvmLa2NsWLFy/qML5bRVm/tds3pPvswRz32M8ix6kE3vBjzLYZGJSQH0/xksaM3jqdwBt+LHKcyvG1nvSYM4QabepL06hpqhMbEsWBJX8SH/1S7nqs61fi/B8n+LnLj6wesAAlZSVcfp+JmqZ6njE7OnemzdAO/DF7E3M7TiU+Jo7JO2ajoaWhME+5WuUZ7eGKl+d5Zjm64eV5ntEebljVsJGmqVC/Mqf/OM78LtNZOmAeyspKTP59tkxM4+oOlXltmuxBamoqN49dlVtu7fYN6ZFRvwvzWb9jMup3YUb99pwzhJpZ6rdsLRuGekzgmucFfnKczDXPCwz3mIhlDWuZdYU/CmFq3eHS1wIHtzzr9nO8e/eeCtZWzHAd/UXLkaeDcxcch3Vk6+yN/NhhMnExL5mxc16ubcKmVgXGeUzi0v5zTGs7gUv7zzF+7WTKZWkTH1lVs6ZFX3ue+j7O8VnE43C2zd7IVPvxzOs2nZiwaGb8MRcdQ91vYv9Xt6+LZQ0b4iJfULKSZZHE23+JMxWbVGObqwcLHNzwu3iX8TtmoWdqIE2jVkydoJuPOLDkT+myoqrfxR2ny9Ttqn7zAbh19Io0jVFpU9z2uhMZ9IwVfebyU9vJHF29jw+JSTnicnTujMPQDuycvQn3jHPapHyc00Z5uHLF8zyzHd244nmeUQrOaQu6TGfZgHkoKSvhlu2cplZMg4CbD9m7ZIfCsr641EJ6fYe+28518+bNcXFxYcKECRgYGGBqasrGjRt58+YNQ4YMQUdHh3LlynHs2DFpnvPnz1OvXj3U1dUxNzdn2rRpJCcny6xz3LhxTJkyBUNDQ8zMzJg7d670c0tLSwC6dOmCRCKRvv/ojz/+wNLSEj09PXr37s2rV6+kn+3du5eqVauiqalJ8eLFadWqFW/evMlzO8+dO0e9evXQ0tJCX1+fxo0b8/TpUyDntIXBgwfTuXNnli1bhrm5OcWLF2fMmDF8+PBBmiYxMZEpU6ZQqlQp1NXVsbGxYfPmzG/0vr6+ODo6oq2tjampKQMGDCA2Nue3+fzYsWMHderUQUdHBzMzM/r27Ut0dLT085cvX9KvXz+MjY3R1NTExsaGrVu3AlC2bFkAatasiUQioXnz5vkqc8uWLVSuXFm6j8eOHasw7dSpUylfvjzFihXDysqKWbNmydSVovpduHAhpqam6OvrM2/ePJKTk5k8eTKGhoaULFmSLVu2FKCW5GsxrD1ef5/Ba/cZIoOesdd9O3ERsTTtby83vV1/e16Gx7LXfTuRQc/w2n2GK3vO0mpEB2map3eD8Fy0g1v/eJGc9EHuetYOWsjVveeJCAjjmd9T/pi8juIljSld1SrPmB2c2nNo7T5unbjGM/9QfnNbg5qmOg062eWa58GlOxxe50lE0DMOr/PE1+seDk7tpWmWD1rApb1neRYQSqjfUzZNXotRSWPKVi0nTRMfEyfzqtm6Hn5X7hMTGiW33JYZ9Xs5o373uG/nZR71+yI8lj0Z9Xt59xm8stVvC6d2PLx0lxPrDhAVFM6JdQd46HWfFk7tZNaVkpJKQky89PX6xavsxRUqu4Z1GTdiEK2bN/6i5cjTdmgHDnjs4cbxq4T5h7DebRVqGuo07tRUcR6nDty75MPBdfsID3rGwXX7eHD5Lo5OHWTSqRfTYOyqifw2dS1v4nOeS70OXuD+5btEh0YRFhDKjvlbKKarRWlby69+/+uZGtBrnhNbx68mJTmZ8g0r/+fxqqqrUrNNfTwX7SDwuh8xT6M4snIPsWHRNMtS7nXPixxdvQ+/y/eky4qqfl+/eCVTt1Vb1iL6SSQBV32laTpN7s2Ds954Lt5J2IMnxIZGc/+sN6+eJ+SIq7VTew5nOadtcluDeh7nNPuMc9qRdZ5EBj3jyDpP/Lzu0TrLOW3FoAVc3nuW8Ixz2paMc5pllnPaFc/zHFq9hweX7yos60tLSy2c1/fou+1cA2zfvh0jIyOuX7+Oi4sLo0aNokePHjRq1Ijbt2/j4ODAgAEDePv2Lc+ePcPR0ZG6dety584d1q9fz+bNm1mwYEGOdWppaXHt2jWWLl2Ku7s7p06lX5q6cSP98tPWrVuJiIiQvgcICgriwIEDHD58mMOHD3P+/HkWL14MQEREBH369MHJyQk/Pz/OnTtH165dSUvL/U7c5ORkOnfuTLNmzbh79y5XrlxhxIgRSCQShXnOnj1LUFAQZ8+eZfv27Wzbto1t27ZJPx84cCB//fUXq1evxs/Pj19//RVtbW1pnM2aNaNGjRrcvHmT48ePExUVRc+ePfO/U7JISkpi/vz53LlzhwMHDvD48WMGDx4s/XzWrFn4+vpy7Ngx/Pz8WL9+PUZGRgBcv55+Ce3ff/8lIiKC/fv351ne+vXrGTNmDCNGjODevXscOnQIa2trhel1dHTYtm0bvr6+rFq1it9++41ffvkl1zLOnDlDeHg4Fy5cYMWKFcydO5f27dtjYGDAtWvXcHZ2xtnZmdDQ3C8b5kZZVZnSVazwu3hHZrnfxbtY1a4gN0/Zmjb4XZQ9Cfte8KFMVSuUVJQ/ORZNnWIAvIl7nWs641Km6JsYcD9LzMlJyTy69gAbBTEDWNcsL5MH4P4FH6xrKc7zMabXcfI7pbpGelT/oRYXdp+W+/nH+vUtQP1a5aN+rWqWxzdHmjtY1Sovs8zE0oxF135l/kUPhq4Zj1GpnJexvwcmpUwxMDHk3kUf6bLkpGT8rt2nfO2KCvPZ1KrA3Qs+MsvuXPDGJlsep/kj8D5zi/v56Hwoq6rQoq89b+Lf8Mw/5Kve/xKJhCG/uHBq4yEiAsIAMDAv/p/Hq6SijLKKMh8SZb+If3ifRLm6ivefkkrRHl8fKasqU6+zHVf+PitdJpFIqPJDLaIeR+Dy+wyW3vyNKQd+orp93Rz5czunWedyTitXszwPPvGc9kbBOU34+nzXc66rV6/OzJkzAZg+fTqLFy/GyMiI4cOHAzB79mzWr1/P3bt3+eeffyhVqhQeHh5IJBIqVqxIeHg4U6dOZfbs2SgppX8PqVatGnPmzAHAxsYGDw8PTp8+TevWrTE2NgZAX18fMzMzmVhSU1PZtm0bOjo6AAwYMIDTp0/z008/ERERQXJyMl27dqVMmTIAVK1aNc/tS0hIID4+nvbt21OuXPo3Wltb21zzGBgY4OHhgbKyMhUrVqRdu3acPn2a4cOH4+/vz99//82pU6do1aoVAFZWmSOS69evp1atWixcuFC6bMuWLZQqVQp/f3/Kl5d/ElPEyclJ+n8rKytWr15NvXr1eP36Ndra2oSEhFCzZk3q1KkDIHMl4GNdFy9ePEddK7JgwQLc3NwYP368dFndujlPmh99bDsfy3Zzc2P37t1MmTJFYR5DQ0NWr16NkpISFSpUYOnSpbx9+5YZM2YAme3w8uXL9O7dO19xZ6dtoIuyijKvYuJllifExKNrpC83j66xPgnZ0r+KiUdZVQVtAx0SYuI+KZZuMwcReN2PCP/cvyzoGetnxChbTkJMPMVLGueaLz5bnviYOOn65Ok7czCPrvvyTEFMTbo15/2bd9xSMEdXUf2+iolHL5f6lZc+a/2mp4nLliZ9+UdPfALY7rqWqMfh6Brp09alK5P2L2B+a9c8v8B8a/RM9AFy7t/YeIwsFLcJfWN94mNl6zo+Nh5948ypCA07NMGySjlmdpyUaww1W9RhnIcbaprqxEW/ZGH/OUgkkq96/9uP6kRKcgpnt6ZfdZUoKaGkpPSfx5v45j1Btx7hOK4bkYHPSIiNo27HJljWsCbmcaTccgGK6WoVWf1mVd2+Hpq6WlzZe066TMdIFw1tTRxGdeLQ8t14Lt5JpWY1GPGrG3F95vDoWuYIt6JzWnxMPEZ5nNNyngdzP6f1njkY/1zOaUXmOx11Lgzfdee6WrVq0v8rKytTvHhxmU6rqakpANHR0fj5+dGwYUOZUd/GjRvz+vVrwsLCKF26dI51Apibm8tMZVDE0tJS2rHOnq969eq0bNmSqlWr4uDggL29Pd27d8fAwEDR6oD0jtzgwYNxcHCgdevWtGrVip49e2Jubq4wT+XKlVFWzhypNDc359699Mt1Pj4+KCsr06xZM7l5b926xdmzZ6Uj2VkFBQUVuHPt7e3N3Llz8fHx4cWLF6Smph+pISEhVKpUiVGjRtGtWzdu376Nvb09nTt3plGjT7vRKjo6mvDwcFq2bJnvPHv37mXlypUEBgby+vVrkpOT0dXVzTVP5cqVpV/EIL2NValSRfr+YzvMrc0kJiaSmJgosywlLQVliewIcxqyVzYkkpzLZGX7TNrWP+1Zpb3ch2JhW5rl3Wfn+KxhJzsGLxwpfb/CKf0LWY6rMRI5y/IgkUgUbucA92GUtC3DT91/VJjfrmdLrhy4mGPELbscZeRRvznT56zfHLklEpmlD875SP8f/iiU4Nv+uF9YQ4NuzTi9+Uiu8X7tGnduyrCFo6Tvlw5JvyqYvU7SqySPNpEmp+1nLDM0N2LQnGEsHDA3z33se+Ue09pORMdQlxZ97Bm/bjLLhma01a9w/5euUpYfhjiyqN3UfJT/5ePdNtGDAT+PYvH1DaQkpxB6/zE3Dl6mdJWyCsstynizatzrBx6c85G5v0QiST933z11kzMZx1uY71PK1apAtyn9KVWxtDTtSgXnNEk+zmkFibO/+zBK2ZZhYS7ntKLyvU7pKAzfdedaVVVV5r1EIpFZ9rEjnZqaSlpaWo7pFB8PkKzL5a3zY6ewoLF8zKesrMypU6fw8vLi5MmTrFmzhh9//JFr165J5xYrsnXrVsaNG8fx48fZvXs3M2fO5NSpUzRo0KDAcWhqauZaVmpqKh06dGDJkiU5PsutQy/PmzdvsLe3x97enh07dmBsbExISAgODg4kJaXfONK2bVuePn3KkSNH+Pfff2nZsiVjxoxh2bJlBSoL8t627K5evUrv3r2ZN28eDg4O6Onp8ddff7F8+fJc8+XV5j4uy63NLFq0iHnz5sksq6NXibr6lQF4/TKBlOSUHCMyOkZ6vMo2ovdRgpwRHB0jXVI+JPP6ZcFHRHvOHUK1VrVZ0XMOcZEvcnzu/e8N6VMXAFTV0utAz8RAZqRS10iPhNg4FJE3Sq1rpJdjFB6g/9yh1GxVl4U9Z/FSTkwA5evaUqKcBevGKt6PudVvwmfUr/w08rflo6R3iYQ/DMGkbMGOr6/RrVPXCfT2l77/2Cb0jfWJy9LB0S2uR3wubSJOXpvIkseqajn0jPVZeDhzHyurKFOxfiXsBzkywKYHaRnHX+K7RKKeRhL1NJJAb39WnFtHndb1vtr9b13PFp3iuvzktU5m29LS0hi1cTJT6mQ+VeS/iDc2JIpfes1FTVMdDW1NEmLiGOoxgdhQxYMHbxPeFHn9GloYUbFxNTY4y/4tef0ygZQPydLpNh9FBD2jXHFb5jhmXglRKeRzWrycOPtlnNMW5XJOE75O3/Wc64KoVKkSXl5eMt84vby80NHRwcLCIt/rUVVVJSUlpcDlSyQSGjduzLx58/D29kZNTQ1PT8985a1ZsybTp0/Hy8uLKlWq8Oeff+adSY6qVauSmprK+fPn5X5eq1YtHjx4gKWlJdbW1jIvLS2tApX18OFDYmNjWbx4MXZ2dlSsWFHuaK6xsTGDBw9mx44drFy5ko0bNwKgpqYGkO+61tHRwdLSktOn5c+zze7y5cuUKVOGH3/8kTp16mBjYyO9UfRLmz59OvHx8TKvWnqZcxhTPqQQcj8Y2yayV1EqNqlG8K1Hctf52DuAitnS29pV5+m9YFKTC9Zee85zokab+qzs687zsBi5ad6/eU/000jp61lAKHHRL6mSJQZlVRUq1K9MgIKYAQK9/ancpLrMsip21Qm8LZtnwLxh1GlTnyV95xIbpvgPe9NeLXl8N5BQP8X7UlH92uZSv8HeATnSV8pWv8He/tg2qZotTTWCb/ujiIqaCmbWFgqf3vItef/mvbQjG/U0krCAUF5Gv6BqkxrSNMqqKtjWr4L/LcWPZAu4/YiqdjVkllVrWoOAjDz3L99hcutxTGs7UfoKuhPA5QMXmNZ2orRjLY9EIkFJRfmr3f/X9l/gpzaTWeg4RfqKi3xBfPRLHl6+X2TxJr1LJCEmjmK6WlRqWp27p27kSPNRanLRH18Ne/zAq+fx3D9zW2Z5yocUntwNwtSqhMxy07LmxIZGyZzTwjPOaZXlnNMCczmnBck5p1WWc07rP28YtdvUZ2ke57SiJG5oVEx0rjOMHj2a0NBQXFxcePjwIQcPHmTOnDm4urrKXObPy8cOXGRkJC9f5u8P4rVr11i4cCE3b94kJCSE/fv3ExMTk+f86cePHzN9+nSuXLnC06dPOXnyJP7+/nnmyy32QYMG4eTkJL3B8Ny5c/z9998AjBkzhhcvXtCnTx+uX79OcHAwJ0+exMnJqcBfKEqXLo2amhpr1qwhODiYQ4cOMX/+fJk0s2fP5uDBgwQGBvLgwQMOHz4s3TYTExM0NTWlN1XGxyse/flo7ty5LF++nNWrVxMQEMDt27dZs2aN3LTW1taEhITw119/ERQUxOrVq/P9Zedzqauro6urK/PKPiXkzKbDNOrVkoY9fsCsnAXdZg3CoISR9Lmvnab0YdDyMdL0F3ecxNDCiG4zB2JWzoKGPX6gUc8W/LvxH2kaZVVlSlYqQ8lKZVBWVUHf1JCSlcpgXMZUmqb3/KHU62LH1vGrSHzzDl1jPXSN9VBVlx2dl+fElsO0H9ON2g71sChfiuHLxpL0LpGrBy9K04xY7kKPKf2k709uOUIVu+o4OnfGvJwFjs6dqdS4Gie2HJamGTh/OA27NGX9+JW8f/MOPWN99Iz1UVVXkylfQ1uTeo4NOa/gRsasTm86TOMs9du9EOr37Jaj2NpVx965E6blSmDv3ImKjatyZkvmdI+uMwZgU9+W4iWNsaxhzfB1bmhoa3J1n/wvvIXh7dt3PPQP4qF/+rOJn4VH8dA/iIjIL/8H/djmf+g0pjt1HOpTsnxpRi0fR9L7RC4fvCBNM2rFeHpP6Z+ZZ+s/VLOrQQfnLpQoZ0EH5y5UaVydo1vS6/r9m/eE+YfIvBLfJvL65SvC/EMAUNdUp9fk/ljXLI+RhTGWVawYvmQMhmbFuXbk8le7/9/EvSbcP1TmlZKcjN/Fu9Rs2+A/j9e2aXUqNatO8ZLGVGxSlQl/zSEqOByvPeekaYrpaVGyUhnMrUsCYGpVAu/j12jc+7+vX0j/AtWwe3Ou7jtPakrOnt2pjYeo3b4RjXu3xLiMKc0GOlC1ZW3O/HE8Z9qMc1qtjHPasGVjScx2Thu23IXuWc5pp7YcoXLGOc0syzntVJZz2oCMc9qG8St59+Ydusb66GY7p2npaVOqkiUW1qUAMLcqQalKlgrnmH8JonOt2Hc9LaQgLCwsOHr0KJMnT6Z69eoYGhoydOhQmZva8mP58uW4urry22+/YWFhwZMnT/LMo6ury4ULF1i5ciUJCQmUKVOG5cuX07Zt21zzFStWjIcPH7J9+3aeP38ufbTcyJEjc82Xm/Xr1zNjxgxGjx7N8+fPKV26tPRmvBIlSnD58mWmTp2Kg4MDiYmJlClThjZt2hToCwikj0hv27aNGTNmsHr1amrVqsWyZcvo2LGjNI2amhrTp0/nyZMnaGpqYmdnx19//QWAiooKq1evxt3dndmzZ2NnZ8e5c+dyLXPQoEG8f/+eX375hUmTJmFkZET37t3lpu3UqRMTJ05k7NixJCYm0q5dO2bNmiXz6MWidOvwFbT0dXAc3w1dYwMi/ENZN2QRL56lPxZR18QAAwsjafrnYTGsG7KIbrMG0XSAA/HRL9kzbys+xzNv6tMzNWTG0Z+l71uP7EjrkR3xv/qAlb3Tp6k0HeAAwMTdstNWfp+0lqt7c+8AHv31AGoaagycP4JiGT+48PMAd96/eS9NY2hhRGqWq0eBtx+xzmUF3Sb1pZtrb6JDolg3dgXBWaactBzQBoAZu2W/nP02yYNLezOfBNCgQxOQSLh66FKucUJm/bbLUr9rs9SvnokBhtnqd+2QRXSfNYhmGfX797yteGep3+Db/mx2WUnHSb3p4NqLmJBINo1dyROfQGkaA3NDnFaPR9tAl9cvEnjsHcDSLj9Ky/0S7j8MwMklcw7v0jXpV4c6tW3FTzO/7DO2//nVEzUNdZwWjERLV5sgH38W9p8r0yaMShiTlprZJgJuPWK1yzJ6uvWjp1tfokIiWT12mcw0pLykpqZSwtqCpt2nomOgy+u4VwTdCWBejxmEBYTyOjDqm9r/Yb5PeOIT+J/Hq6lTjM5T+qBvVpy38a/xPnaNg8t2yVwNq9a6DoOWZXaUh3lMBODemdv/ebwAFZtUpXhJY7yyPCUkqzsnbvDnj7/RZnRnes4dQlRwOBtHLSfgZs6rKUd/PYCqhhoD5o+Q/jDW8mzntOIWRjJXxANvP+JXlxV0ndSXLhnntF+zndNaZJzTpmU7p22a5MHljHNajdZ1GbYs81GyozzSj9UDK3dzcOXfcrdN+O9I0gp6N5EgCP+50Zaf9rjDovKGgk+NKkrF+PTHERaF1TcXF3UIBTKwtmtRh1Ag+hK1vBMJ/1fef2PntK0KfpW2MEXl8/cl8mKax8DYt0iMXAuCIAiCIAgF8r1O6SgMYs71V05bW1vh6+LFi3mv4D8SEhKSa6whISFfPIZvpa4EQRAEQfh+iZHrr5yPj4/CzwryFJMvrUSJErnGWqJECYWfFZZvpa4EQRAE4VuXlqr416D/34nO9Vcut5/n/pqoqKgUeaxFXb4gCIIg/L8Q00IUE51rQRAEQRAEoUDS0sTItSJizrUgCIIgCIIgFBIxci0IgiAIgiAUiJgWopjoXAuCIAiCIAgFIm5oVExMCxEEQRAEQRCEQiJGrgVBEARBEIQCEb/vrZjoXAuCIAiCIAgFIqaFKCamhQiCIAiCIAjfjHXr1lG2bFk0NDSoXbt2vn+F+fLly6ioqFCjRo0vGp/oXAuCIAiCIAgFkpYqKZRXQe3evZsJEybw448/4u3tjZ2dHW3btiUkJCTXfPHx8QwcOJCWLVt+6ibnm+hcC4IgCIIgCAWSllY4r4JasWIFQ4cOZdiwYdja2rJy5UpKlSrF+vXrc803cuRI+vbtS8OGDT9xi/NPdK4FQRAEQRCEIpGYmEhCQoLMKzExUW7apKQkbt26hb29vcxye3t7vLy8FJaxdetWgoKCmDNnTqHGrojoXAuCIAiCIAgFUljTQhYtWoSenp7Ma9GiRXLLjI2NJSUlBVNTU5nlpqamREZGys0TEBDAtGnT2LlzJyoq/81zPMTTQgThG/CtPfFI7Rv73q7Mt3XX+8DarkUdQoH8fmtFUYdQIKPrTC3qEAos5Rs7S6h+Y8ecJspFHcJXJy2tcPbh9OnTcXWVPaepq6vnmkcikS07LS0txzKAlJQU+vbty7x58yhfvvznB5tPonMtCIIgCIIgFEhh/fy5urp6np3pj4yMjFBWVs4xSh0dHZ1jNBvg1atX3Lx5E29vb8aOHQtAamoqaWlpqKiocPLkSVq0aPH5G5HNtzW8JAiCIAiCIPxfUlNTo3bt2pw6dUpm+alTp2jUqFGO9Lq6uty7dw8fHx/py9nZmQoVKuDj40P9+vW/SJxi5FoQBEEQBEEokNRCmhZSUK6urgwYMIA6derQsGFDNm7cSEhICM7OzkD6NJNnz57x+++/o6SkRJUqVWTym5iYoKGhkWN5YRKda0EQBEEQBKFACmvOdUH16tWL58+f4+7uTkREBFWqVOHo0aOUKVMGgIiIiDyfef2lSdLSxK/DC8LXbpRlz6IOoUCSv7Gbq9S/sRlyz9PkP6bqayVuaPzyxA2NX9a3dtPzuid/f/EyHlVsWyjrqfDwWKGs52siRq4FQRAEQRCEAvmUX1f8fyE614IgCIIgCEKBiHkPin1b10IFQRAEQRAE4SsmRq4FQRAEQRCEAhHTQhQTnWtBEARBEAShQIrqUXzfAjEtRBAEQRAEQRAKiRi5FgRBEARBEAqkqJ5z/S34Zkeu586dS40aNf5vyv2Stm3bhr6+vvT9f7mNzZs3Z8KECf9JWZ9r8ODBdO7cuajDEARBEIQil5ZWOK/v0Tcxci2RSPD09PwqOjaTJk3CxcWlqMP4ov7Lbdy/fz+qqqr/SVn59eTJE8qWLYu3t7fMl4xVq1ZRlL+51LS/Pa1HdkTPRJ8I/zD2uG8j8MZDhelt6tvSfeYgzMuXJD7qJSc3HOLizlMyaWq2qU8Ht14YlTYlNiSKg8t2cefEDenn6loadHTrRXX7eugY6RH64DF75m3j6d2gHOW1m9CD1iM6ol5MnegnEawdvpTwgLBct6lWm/p0cuuNcWlTYkKiOLBsF94nrsukad7fHoeRndAz0SfcP4zd7lsJyLbdHSb0oGmfVhTT0+axTwB/ztokU7ausT7dpw+gkl01NLQ0iAwO5+haT24fuypNY1LWnM4z+mFVuwLKqiqEPwrl8PLdBFx5IE1j19+eliM7SPfBPvftBOWyD6zr29J15kDpPvh3wyEu7fxX+nmj3i2o17UpJSqUAiDk3mP++XkXT+/krN/86jahNy372qOlp0WgdwBbZ20gLCA01zz12jakh1tfTEubERUSye6fd3DzxDW5aTuN7kbvqQM4tvkffnffLFNuww5NKF7CiOQPyTy+F8Tun3cQ5BPwydsiz02fe2z9cy++DwOJef6CVYtm0bJpo0It46O82pU8hdGmazrUo1m/1pSuYoWOoS7ujpMJ9X0i/byYnjadJvakkl11DEoU5/WLV3ifvI7nir949+qtTFmdJvSkWZ9WFNPTItgnkB2zfstzG2q3qU8Xt94YlzYjJiSS/ct2cTvLNpSvZ0ubEZ2wrGqFvqkha0YswfvkDZl1dJrQk3odGmNoXpzkD8k8vRfM/mW7CM5oD83622OfpQ7+dt+ax/msEj1mDqJE+ZLERb3k5IaDXJBzPuuYpe4PLtuFT5a4m/a3p1k/e4qXNAYgIiCMw6v38OCcjzRN+wk9qNuhMQYZcYfcC+bAsl2E+uQ8Jpv2t6dVtnNybucDm/q2dMtyTj6V7ZxsblOS9q69KF21LMVLmrDHfRtntxyVWYd1PVtaj+hIqapl0Tc1ZMOIn7mTre7/K2LOtWLf7Mh1UdHW1qZ48eJFHcYX9V9uo6GhITo6Ov9JWZ9LT09PZoT/v1S7fUN6zB7McY/9LHScSuANP8Zsm4FBCfn7qXhJY8ZsnU7gDT8WOk7l+FpPes4ZQs029aVpytayYajHBK55XuAnx8lc87zAcI+JWNawlqbpv8SZik2qsc3VgwUObvhdvMv4HbPQMzWQKc/euRP2Izvy6nk8CbHxvHv9jok7ZqGupaFwm6xqlWeEx0Suep7H3XESVz3PM8JjImWzlF+nfSN6zR7CEY99uDtOIeCGH+O2/YhhCSNpmjbOnWg9tD1/zt7MTx2nER8Tl6PsoStcMLMqgcewJcx1cMP7+DVGekykVGVLaRrnLVNRUlZmdd/5LO0wnWe+T3DePAUdYz0AarVvSLfZgzjh4clix2kE3XjI6G3Tc90Ho7amp1vsOI0Taw/Qfc4QarSpJ01j06Aytw55saqPO8u7zuJleCxj/vgxR/3mVwfnLjgO68jW2Rv5scNk4mJeMmPnPDRy2Q82tSowzmMSl/afY1rbCVzaf47xaydTroZNjrRW1axp0deep76Pc3wW8TicbbM3MtV+PPO6TScmLJoZf8xFx1D3k7ZFkXfv3lPB2ooZrqMLdb3Z5addZVdYbVq9mAaBNx+xf8lOueXomxqgZ2rAnoW/M8/BjW2T1lKlWQ2GLBklk66tc2fsh7Znx+zNzM/Yhkk7ZufaHsrVKo+zhytenheY4+iGl+cFnD1cscrSHtSLaRDq94QdszcrXE9kcDg7Z29itoMri7rPJDYsGtffZ6JjqEvd9o3oOXsIRz3+x955x0VxvH/8fRy9dxBEEcSCvfcSu1iwl8SKjajYa2JFY0kkNtTE2GM3scVu7IpdUFQUBKUICKiAiiLt9wdw3MEdxZCg39+8fe3rJbvPznzmmdm52dlnZ/9kocs0ntwMwGPL95jI+UAes9KWeGT1ZwtdpnF8zX76znVT6M8caldghPdErh+4wAKXKVzP8r18fxYf9ZIDS3ewqOsMFnWdwSOf+4xeP51STqVlNi9Cotg1ZyOe7SfzU6/ZvIyIZcK22eibKv5O1enciF5ZffLiQvbJo7PKsDirT+49dyg15cqgqaNFXNgLDi7dSULMa6XpaOpqERHwjL1zNqn0vaDkKdLgumXLlnh4eDBhwgRMTEywsrJi/fr1vHv3jqFDh2JgYICjoyPHj+d8yvLChQvUr18fLS0tSpUqxYwZM0hNTVVIc9y4cUybNg1TU1Osra2ZN2+e7Li9vT0A3bt3RyKRyP7O5vfff8fe3h4jIyP69evHmzdvZMf++OMPqlWrho6ODmZmZrRp04Z3794VWM7z589Tv3599PT0MDY2pkmTJoSGhgJ5QyayQwWWLVtGqVKlMDMzY8yYMaSkpMhskpOTmTZtGnZ2dmhpaeHk5MTGjTmd0sOHD3FxcUFfXx8rKysGDhxIXFxcgTqz/Td27FjGjh2LsbExZmZmzJo1S2GG9fXr1wwaNAgTExN0dXXp2LEjQUGqZ5OUhYVs2rSJKlWqyOpx7NixALi5udG5c2cF29TUVKytrdm0qeCLP3dYiL29PYsWLcLNzQ0DAwPKlCnD+vXrFc6JiIigX79+mJqaoqenR926dbl+PWeW7a+//qJOnTpoa2vj4ODA/PnzFdqcRCJh3bp1dOzYER0dHcqVK8e+fftkx8uVKwdArVq1kEgktGzZEsgbFpKcnMy4ceOwtLREW1ubpk2bcvNmzgzC+fPnkUgknDlzhrp166Krq0vjxo15/PhxgX7JTevhnfHZe5Yre84SHfycfZ5beR0VR/MB7ZTaNxvQjleRcezz3Ep08HOu7DmLz75ztBnZRWbTyq0Tjy7f4+Tag7wIjuTk2oM88rlPK7dOAGhoaVCrQwMOLN7OkxsBxIa+4OiKfcRFxNAiV76th3cmNSWVtW5LSPmQzPVDl9DU0aKBa1OVZWrj1omHl+9xfO1BooMjOZ6Vf5us/AHaDu/M5b1nuZxV7j2eW3gdFaeQf2u3Thxbsx/fkzeIDAxn82TvPHk71K7A2a3HeXb3CXHhMRz13k9S4jvKVnEAQM/EAMtypTi97hCRj8KIfRbNoaU70dLVppRT5qxyq+GduLr3LFf3nOVF8HP+9NzK66iXNFNRB00HtOV15Ev+9NzKi+DnXN1zlmv7ztFarg62TljNpe2neP4wlBfBkeyc8SsSiYSKTaqp9Ft+dBzWhYPe+7h54hoRgWGsm7wSTW0tmrg2V32OWxf8L/txaO2fRAY/59DaP3lw5R4ubl0U7LR0tRm7ciK/TV/Du4S8/ajPoYvcv3KPmPAXRASFs33BJnQN9ShT2f6TyqKKZo3qMW7kYNq2bFKs6eamMO0qN8XVpq8duMiRVX8QcMVfaT6RgeH88q0X987cJjbsBY+u3mf/sl3UaF0XNWnOz3pbt04cWbOfOyev8zwwnI2TV2eVoZnKMrTNKsOxtQeIDo7k2NoDBPj401auDP7nfTngtZs7Kp5uAFw/fJmHV/yJDY8hMiiC3Qu3omuoR+lKZWk/vAtX5PqzvUp8IE+LAW15FRnHXs8tsv7syr6ztBvZVWbT2q0TAZfvcSKrPzuR5fvWcrrvnbnN/fO+xDyNIuZpFIeW7SI56QMOtSrIbG4evsyjK/7EhccQFRTBvoVb0THUxbZSWQVNrbL6ZJ+sMvzhuZX4Avrk15Fx/JHVJ/vsOcvVXH1y6L1gDizezu2/fEj9mKI0nYfn/fjLa4/CjHxJkZEhKZbtf5Eiz1xv3boVc3Nzbty4gYeHB99++y29e/emcePG3Llzh/bt2zNw4ECSkpJ4/vw5Li4u1KtXj7t377Ju3To2btzIwoUL86Spp6fH9evX+fHHH/H09OT06cxHJdmDlc2bNxMVFaUweAkODubgwYMcOXKEI0eOcOHCBZYsWQJAVFQU/fv3x83NjYCAAM6fP0+PHj0KfKyfmppKt27daNGiBffu3ePq1auMHDkSiUR1Azh37hzBwcGcO3eOrVu3smXLFrZs2SI7PmjQIHbv3s2qVasICAjgl19+QV9fX6azRYsW1KxZk1u3bnHixAlevHhBnz59ilQn6urqXL9+nVWrVrF8+XI2bNggOz5kyBBu3brF4cOHuXr1KhkZGbi4uCjcAOTHunXrGDNmDCNHjsTf35/Dhw9TvnzmbMDw4cM5ceIEUVFRMvtjx47x9u3bIpVBHi8vL+rWrYuvry+jR4/m22+/5dGjzEdtb9++pUWLFkRGRnL48GHu3r3LtGnTSE9PB+DkyZMMGDCAcePG8fDhQ3799Ve2bNnCDz/8oJDH7Nmz6dmzJ3fv3mXAgAH079+fgIAAAG7cyOy0/v77b6Kioti/f79SndOmTePPP/9k69at3Llzh/Lly9O+fXtevXqlYPf999/j5eXFrVu3UFdXx83Nrcg+KVPVgYeX7irsC7h0D4c6FZXaO9RyIuDSPYV9Dy/6UbaaA2rq0iybCjzMY3MXh9qZPzRq6lKk6lJSkhXbScqHjzjWqyT727yMFYbmRlze9TdRWY+b09PSCbz+EEcV+nLyVyzTg4t+ONbOPEeqoU5ZJeV+cOmeLF1zO0uMLU14IGeT+jE1T95Pbj2iXufG6BrpI5FIqNelMeqaGjy+lhny8e71G6KCIqjfozmaOlqoSdVo+nUbEmPjCb8fglRDil1Vhzw+Dbh0l3J1KqCMcrUqEJBL+8OLdykjVwe50dTRQqqhTlL8W5V+U4WlnRUmlqb4X/JT8EXA9ftUqFNJ5XlOtSty76Kfwr67F31xynWO24KR+J69zf0rij5QhlRDnVZft+NdwjvClMxyf+4Utl3lpjja9KeiY6DLh7dJpKdl9oUWKsrw+PpDyueTl2OtCtzPpe/+xbuyMnwKUg11WvRvS1LiOyKDwpX64GE+PlDVV+Xtz1T7PjcSNTXqdmmMpo4WIXcCVepu1r8NSYnviAgIldsvpUxVhzzXd359crlC9MlfGiLmWjVFjrmuUaMGs2bNAmDmzJksWbIEc3NzRowYAcCcOXNYt24d9+7d46+//sLOzg5vb28kEgmVKlUiMjKS6dOnM2fOHNTUMsf21atXZ+7cuQA4OTnh7e3NmTNnaNu2LRYWmbFRxsbGWFtbK2hJT09ny5YtsrCCgQMHcubMGX744QeioqJITU2lR48elC2becdZrVrBs0GJiYkkJCTQuXNnHB0dAahcuXK+55iYmODt7Y1UKqVSpUp06tSJM2fOMGLECAIDA9m7dy+nT5+mTZs2ADg4OMjOXbduHbVr12bRokWyfZs2bcLOzo7AwEAqVFD+wy2PnZ0dy5cvz5zxqlgRf39/li9fzogRIwgKCuLw4cNcuXKFxo0z4xJ37NiBnZ0dBw8epHfv3gWmv3DhQiZPnsz48eNl++rVqwdA48aNqVixIr///jvTpk0DMm+EevfuLbuBKCouLi6MHp35yHf69OksX76c8+fPU6lSJXbu3ElsbCw3b97E1NQUQDbQB/jhhx+YMWMGgwcPBjJ9vWDBAqZNmyZrYwC9e/dm+PDhACxYsIDTp0+zevVq1q5dK2tzZmZmedpcNu/evWPdunVs2bKFjh07AvDbb79x+vRpNm7cyNSpUxU0tWjRAoAZM2bQqVMnPnz4gLa26kezuZGqS3kTm6Cw701sAkbmxkrtDS2MldpLNdTRNzEgMTY+yyY+l03mfoDkdx8Ivv0Yl3E9iX7ynMS4eOp1bYp9zfLEPo2WndM2a+bl7EbF2MDE2ATMSit/zAtgZGFMYi6NibEJsvz1TQyQqktJVKIxu9xGWbbK0pHPe/3Y5Yz0nsjKu5tJTUnl4/uPrB31E7FhL2Q23gMWMuq3qSx7sIWM9AzexCWwZvAi3icmYWRporIODFXWgVGBdZAb1+lfkxD9ikcqZizzw8gyU0dCrnQT4hIwt7VQeZ6xhTEJcYo6E+ISMLbICU1p1KUp9lUdmdV1Sr4aarWqyzjvyWjqaBEf85pFA+by5vWbfM/5HClsu1J23j9t05+CnrE+XTx6cX5nTvyuYVb95c4rMTZeFnOsugx5z8n2SVGo0aoOo1ZPQFNHi4SY1ywb4IlEIlHpA9XXUt6+KjE2Pk9/lp/vs7GpWIbp+39AQ0uD5KQP/DLqJ6KeKMagV2tVm+GrJ6Kpo0lCTDwrBizgnVw71jcxVNofJObbH+TVV1B/IPhyKfLMdfXq1WX/l0qlmJmZKQxaraysAIiJiSEgIIBGjRopzPo2adKEt2/fEhERoTRNgFKlShETE1OgFnt7e4V4XfnzatSoQevWralWrRq9e/fmt99+4/Vr5TFM8piamjJkyBDat29Ply5dWLlypcKsrDKqVKmCVJpz5ymvw8/PD6lUKhtc5eb27ducO3cOfX192VapUuaMUXBw4V5qatiwoYKPGzVqRFBQEGlpaQQEBKCurk6DBjlxXWZmZlSsWFE2U5sfMTExREZG0rp1a5U2w4cPZ/PmzTL7o0ePftLsbDby7UEikWBtba3gz1q1askG1rm5ffs2np6eCv4cMWIEUVFRJCXlvOjTqFEjhfMaNWpUKH9kExwcTEpKCk2a5Dya1tDQoH79+nnSkS9PqVKlAPJt38nJySQmJsq27FCnDHLd4kuU7JMjr71EdoQ8/5O3ydm7ZaI3SCQsufErqwN38tWQjoTcDsSinDXLH2xjZcDv1O6c6cs8T4UkhZmVUDTIlJiRj0WmUZ6yFZB3t8n90DXSw+vr+fzQdQZ/b/wL97WTsK1YRmbTd+Ew3rxMZEXvefzk+j33Tt/CfeP0XD/OufUq0ZIP2depsnPajOpKna5N+M3di9Tkgp8qNenWnM0Pd8k2dXV1JQqzq7QAjRl56yG7Pk1LmTN47nDWTFie5ylGbh5e9WdGx4nM7TGDuxd8Gb92KoZmRgWWpaSRaOmjbmYv26QaWfNOJdmmC4m2vg7jNs/kfeI72rp1Zu2D31n74HekGpm/SXmvS0khXszO286VqC6QgKv3mecylUU9v+f+BT++XTMJPRMV79gUkEdu/yh/mlyw71+ERLLQZSpLu3/Hhe2nGOI1llLlSyvYPL76gIUuU/mx5yweXPBj5JpJ6JvlfXcgr6b8++Q85VPSJ39JpGdIimX7X6TIM9e5V3aQSCQK+7IbfHp6OhkZGXkugOyLWn6/sjSzH/MXVUv2eVKplNOnT+Pj48OpU6dYvXo133//PdevX5fF1Kpi8+bNjBs3jhMnTrBnzx5mzZrF6dOnadiwYZF16Ojo5JtXeno6Xbp0YenSpXmOZQ/E/gmqOlFldaOMgvRDZtjLjBkzuHr1KlevXsXe3p5mzVTH9BXEP/Xn/Pnz6dGjR55jBc0UF8Yf2Shrx9n7c+9TdX2oYvHixcyfP1/h/KSkpDwzMAbmRiTmmnHMJlFuBjrH3pC0lFTevn6bj42RwuxKXNgLlvedh6aOFtr6OiTGxjNi3SSCrgewY8YvNOzVkg5jugOw6Oo6IHOWvc/3g0n5mMLtY1dVljOhgPzfvn5DWmpanhkz+XJnz9IaWhorzNgamhuRGJf5t0UZK1oN6cjcthNlqyREBIRSvl5lvhrUnu3f/0aFxlWp2qoO02q48eHtewD2zt5IpabVaNCrBWc3HCEtNQ2DXFr0zQ15o7IOEmQvQ8rbp6Wk8u61YthH6xGdaTemG97fLCTyUZhKn8lz+/QNnvjmPM7W0MxsZ8YWxsTLvQxlaGZEQlx87tNlxCuZlZQ/x6GaI0YWxiw64iU7LlWXUqmBM+0GuzDQqTcZWe05+X0yL0KjeREazRPfQH4+v5av+rYpVHlKkoyP70h9/UH299tXiUD+7UoZxdGmi4KWnjbjt37Ph3cfWD5sMXoGerJj6pqZP+9GliZKyqA6r8wyKL5Qa2BuREJs0fV9fJ9MTGg0MaHRhPgGsfjcamq2rUdaaton9Gd5NWX2Z2/kbJSkmUt3WkoqsaGZT95C/UOwr+5IKzcXdnyX827Px/fJxIZGExsazVPfIDzPraJJ31acXHsQgLevE1WWQXV/UHCf/KXxvxovXRz8q6uFODs74+PjozDA8/HxwcDAAFtb20Kno6GhQVpaWpHzl0gkNGnShPnz5+Pr64umpiYHDhwo1Lm1atVi5syZ+Pj4ULVqVXbu3Fnk/CEzFCU9PZ0LFy4oPV67dm0ePHiAvb095cuXV9j09PSUnpOba9eu5fnbyckJqVSKs7MzqampCi/8vXz5ksDAwALDXQAMDAywt7fnzJkzKm3MzMzo1q0bmzdvZvPmzQwdOrRQuj+F6tWr4+fnlyeuOZvatWvz+PHjPL4sX768LAwJlPss+4mBpqYmQL5trnz58mhqanL58mXZvpSUFG7dulUov+bHzJkzSUhIkG1xcXGE+4dQuaniE57KTasTclv5y5EhvkF57J2b1SDUP4T01LQsm0AqN62Wy6a60vjDj++TSYyNR9dQj0pNqnHr8GViQ19wduNRfugwlTcvEzm3+TiLXKYRH/2KUxv+Ij0tjWAV+rLzd1aiMfhO5jlpKamE3s9bbuem1WXpxoXHEB/zWiEdqYY6FRo4y2w0dbQASE/PNXuYno5EopZlo5llk57LJvNmKS0ljfD7IVTKpaVS0+o8va08XvOpb2Ae+8rNqhMmVwcArUd2oYNHT9YOXkyYf4jStJTx4d0H2UD2RWg0EUHhvI55RbWmNWU2Ug11KjeoSuBt1cuDBd15TLVmNRX2VW9ek6Csc+5fucvUtuOY0XGibAu+G8SVgxeZ0XGibGCtDIlEgrrm57XUplIyMiA9VbZFBkUU2K6UURxturBo6+sw8ffZpKWksmb4Ut69eiMbyMaERqssQ8UGzjzJJ69g30Cq5NJXVa4M/wgJqKtLlfqgcj4+yOyrCtOfqfa9SkmFaKO5bdJS0ghTUoZK+fTJT32DlPQHimUQ/O/wrw6uR48eTXh4OB4eHjx69IhDhw4xd+5cJk2apDDQKYjswV10dHShQjsArl+/zqJFi7h16xZhYWHs37+f2NjYAgc+T58+ZebMmVy9epXQ0FBOnTpV6IGoKu2DBw/Gzc2NgwcP8vTpU86fP8/evXsBGDNmDK9evaJ///7cuHGDkJAQTp06hZubW6FvKMLDw5k0aRKPHz9m165drF69WhYf7eTkhKurKyNGjODy5cuyF/hsbW1xdXUtVPrz5s3Dy8uLVatWERQUxJ07d1i9erWCzfDhw9m6dSsBAQGyeOd/g/79+2NtbU23bt24cuUKISEh/Pnnn1y9mjlDOmfOHLZt28a8efN48OABAQEBsqcP8uzbt49NmzYRGBjI3LlzuXHjhmwFFEtLS3R0dGQvlyYk5J2J0NPT49tvv2Xq1KmcOHGChw8fMmLECJKSkhg2bNg/KqOWlhaGhoYK25mNR2nStzWNen+FtaMtvWYPxsTGXLZGquu0/gz2GiNL49L2U5jamtNz1iCsHW1p1PsrGvdpxd/r/5LZnNt0jMrNatDO3RUrRxvaubtSqUk1zm46KrOp3LwGzi1qYFbagkpNqzFh91xehETis+88AO/i3xIZGM7fv/1F475fYVHOGsigcuOqJL/7wPVDOTcfbl5j6T7ta9nfZzYdxblZDTq4u2LtaEMHd1cqN6nG33L5n95whGZ9W9Mkq9x9Zg/G1MacCztOKaTjMqYHtdrXx6aCHUOXjeHj+2RZ3tHBz3nxNIqBi0ZiX6M8FmWsaDu8M5WbVsf3VObLq0/vBJGU8JZBXmOwrVw2c83rmd9gZmfJg3O+AJzdcJTGfVvRsHdLrBxt6TF7EKZyddB1Wn8GytXB5e2nMbU1p8esgVg52tKwd0sa9WnFGbk6aDOqK50n92XHtHW8jIjBwMIIAwsjNHW1ithqMjm+8S9cx/SibvsGlK5Qhm+9xvHxQzJXDl2U2Xz783j6TRuQc87mv6jerCZd3Ltj42hLF/fuVG1Sg2ObMnV+ePeBiMAwhS05KZm3r98QEZg5y66lo0XfqQMoX6sC5rYW2Fd1YMTSMZham3H96JVPKosqkpLe8ygwmEeBmWFzzyNf8CgwmKjogkMJi0JB7Qr+vTata6SPnbO9LFzBysEGO2d72cynlp42E3+fhZaOFlunrUPbQBdDC2MMLYyRyP22nt50lM5jelC7fX1sK9gxTFaGSzKb4V4e9JQrw+lNx6jSrAYd3bth7WhDR/duVG5SjdNyZdDS1cbO2R47Z3sAzO2ssHO2ly0nqKmjRY+pX+NQywkzW3PKVCnHkCXumJYy4+ZRH05u+IumfVvTOMsHvbN8cDHLB92mfc0Qr7Gy/C5sP42ZrTm9Zw3G2tGWxr2/okmfVpxafziP79tn9Wfts3x/Rk53t6n9KV+vEmalLbCpWAbXKf2p0LAKNw5ekunuNrU/5Wo5YWprjl2Vcgxc4o5JKVPuHFV8Cnd2wxEay/XJPYuhT5ZqSCntXJbSzmWRaqhjbGVKaeeyWJS1kvO9lswGwMzOktLOZVUuAfhvIsJCVPOvfkTG1taWY8eOMXXqVGrUqIGpqSnDhg3LM9ApCC8vLyZNmsRvv/2Gra0tz549K/AcQ0NDLl68yIoVK0hMTKRs2bJ4eXnJXj5Tha6uLo8ePWLr1q28fPlStuzcqFGjiqRZnnXr1vHdd98xevRoXr58SZkyZfjuu+8AsLGx4cqVK0yfPp327duTnJxM2bJl6dChQ6FvQAYNGsT79++pX78+UqkUDw8PRo4cKTu+efNmxo8fT+fOnfn48SPNmzfn2LFjhf54y+DBg/nw4QPLly9nypQpmJub06tXLwWbNm3aUKpUKapUqYKNjU0hPVN0NDU1OXXqFJMnT8bFxYXU1FScnZ1Zs2YNAO3bt+fIkSN4enry448/oqGhQaVKlWQvL2Yzf/58du/ezejRo7G2tmbHjh04OzsDoK6uzqpVq/D09GTOnDk0a9aM8+fP59GyZMkS0tPTGThwIG/evKFu3bqcPHkSE5NPW6M4P24fuYqesQGdxvfE0MKEqMBw1gxdzKvnmUs2GlmaYGqb86LVy4hY1gxdTK/Zg2kxsD0JMa/ZO38zvidynmCE3Alko8cKuk7pR5dJfYkNi2bD2BU883sis9Ex0KXbtP4YW5uRlPAW3+PXObRsV56ZllO/HEJDW5P+C4ZjaGHMx+QUlg9cSPK7nEftprbmCk+xgu8Est5jBd2m9MN1Uj9iw6JZP3Y5T+Xyv3XEB31jfTqP74WRhQmRgeGsGrpIVm6AE1l5f71gOHpZH8qQzzstNY1VQxfRY/o3eGyYjpaeNjGh0WyevIb75zMHzu9ev2Ht4MV0mdqPcTtno6YuJToogvUjf+J51ioBd7LqoKNcHawduoTXWVoMLY0xtc35gXsZEcu6oUvoOXswzbLq4I/5m/E7kbOEVrOBbdHQ0mD4L5MV/HlsxT6Orfgj/0ahhL9+OYCmthZuC0ehZ6hPsF8giwbM44NcPZjbWJAhN4sfdPsxqzyW0WfyN/SZ/DUvwqJZNXZZkT7+kp6ejk15W5r3mo6BiSFv498QfDeI+b2/K/ADNkXl/qMg3Dymy/7+cXXm43zXjm34YdZkVacVmYLaFfx7bbpm27oMXZYzMBvlPRGAwyv28teKfZSt5iBbPm7RRW8F3VObfsvLiFgAjv9yEE1tTQYsGJFVhiC8Bi5QaA+mtuakZ+Q8fQi+85hfPJbTY0p/uk/qS0zYC34Zu1z28RcA++qOTN+dE7rWf/YQAC7/cY5NU9aQnp5OKUdbmvRsgb6JIe/i3/D0XjCLe88mMiiCyKAIjIwN6CTnA285H+Ttz2JYPXQxfeT6sz3zN+XpzzZ4rMB1Sj+6Zvn+t7HLFfozA3Njhi73wMjChPdvknj+KJRVg38g4HLmKh7p6elYO9rSsGdL9E0MeBf/hmf3gvmp9xzZSkjZZPfJLgr9QU6fbGhpgkmuPnnt0MX0nD2Y5lll2Dd/M35yZTCyMuW7Yz/J/m47qittR3Ul8NoDVvTL9HeZ6o5M3D1PZtNrduZk1tU/zvP7lLX8l3yZkeL/DZKMkvzknOAf07JlS2rWrMmKFStKVEdSUhI2NjZs2rRJabzz58Tn9MXPwvKt/acta1hSpH5h3a7WF/Y9rZcZySUtoUhsu/1zSUsoEqPrTi/Y6DMj7Qu75jT4smYspV+Y3rXP9v7reVyzKZ7f+oaRype7/ZL5Ij5/Lvh8SU9PJzo6Gi8vL4yMjOjatWvBJwkEAoFAIPii+V8N6SgO/l8OrvNbf/n48eP/aKWL4iQsLEwWqqCMhw8f/odqlBMWFka5cuUoXbo0W7ZskS0Hln2sIP1lypRReVwgEAgEAsHniVgtRDX/LwfXfn5+Ko8VZRWTfxsbG5t8tdrY2CiNBf4vsbe3V7ncX2H0lwQiEkogEAgEgn9GwQsm///l/+XgWv6Lfp8z6urqX4xWZXzp+gUCgUAgEAiKyv/LwbVAIBAIBAKB4NPJ+MJe8vwvEYNrgUAgEAgEAkGRSBcRlir5stafEggEAoFAIBAIPmPEzLVAIBAIBAKBoEiki7AQlYjBtUAgEAgEAoGgSIiYa9WIsBCBQCAQCAQCgaCYEDPXAoFAIBAIBIIiIda5Vo0YXAsEAoFAIBAIioQIC1GNCAsRCAQCgUAgEAiKCTFzLRAIBAKBQCAoEiIsRDVicC0QCAQCgUAgKBJicK0aMbgWCAQCgUAgEBQJEXOtGjG4Fgi+AN5kpJa0hCJhIPmyupYk0kpaQpEwlmiWtIQiMbru9JKWUCTW3lpa0hKKzNgvzMcpfFnfzk77wvQKSpYv6xdQIBAIBAKBQFDipIuJa5WIwbVAIBAIBAKBoEiIz5+rRizFJxAIBAKBQCAQFBNi5logEAgEAoFAUCREFLpqxOBaIBAIBAKBQFAkxFJ8qhFhIQKBQCAQCAQCQTEhZq4FAoFAIBAIBEUiXSJeaFSFmLkWCAQCgUAgEBSJjGLaPoW1a9dSrlw5tLW1qVOnDpcuXVJpu3//ftq2bYuFhQWGhoY0atSIkydPfmLOhUMMrgUCgUAgEAgEXwR79uxhwoQJfP/99/j6+tKsWTM6duxIWFiYUvuLFy/Stm1bjh07xu3bt/nqq6/o0qULvr6+/5pGERYiEAgEAoFAICgSJfVC488//8ywYcMYPnw4ACtWrODkyZOsW7eOxYsX57FfsWKFwt+LFi3i0KFD/PXXX9SqVetf0ShmrgUCgUAgEAgERSJdUjxbUfj48SO3b9+mXbt2CvvbtWuHj49P4XSnp/PmzRtMTU2LlnkREDPXAoFAIBAIBIIiUVxfaExOTiY5OVlhn5aWFlpaWnls4+LiSEtLw8rKSmG/lZUV0dHRhcrPy8uLd+/e0adPn08XXQD/8zPXLVu2ZMKECSUtQymPHj2iYcOGaGtrU7NmzZKW8z+PRCLh4MGDhbafN2+eqBeBQCAQCP5FFi9ejJGRkcKmLLxDHkmulUoyMjLy7FPGrl27mDdvHnv27MHS0vIf6c4PMXNdgsydOxc9PT0eP36Mvr5+ScsR5GLKlCl4eHgU6Rx7e3smTJjwn93Q9ZjQl6++bouekR7BvkFsmf0bz4PC8z2nXseG9JrcH8sy1sSERbPvp53cOnlddrz1gPa0HtAei9KZHU9EUDgHVu7l3nnFlz9sytvSb8YgKjVwRqKmxvPAcFaPWcbLyDgAmg9oR9tRXTGyNCYqMIJ9nlt4cvORSl1ODSrTa9ZgSlUoTcKL15z69TCXdpxWsKnVoQFdJvfFvIwVcWEvOLRsF3dP3lSwMbIyofuMAVRpWRNNbU1ePI1i+7R1hN1/mifPrxeNoNnXbdnluZnTm47mOe46oQ8t+rdB10iPEL8nbJ/9G5FBEfn6t06HBnSf3A+LMtbEhkWzf9ku7py8ITteoX5lOox0xb6aA8ZWpqweuRTfU4plcJ3Qh/pdmmBayozUlFRC/UPYv2wXIX5BMpuS8G+nCb3pPKG3wjkJsfHMqDdSaZ7Z/t3tuZkzm47RZUJvmvdvg66RPk/9gtg5e0OB/qzdoQGuk/thUcaK2LAXHFy2C185fwK0HNCO9qNcMbI0JjIwgj2emwmS80Wt9vVp8U1bylR1wMDUEE+XqYQ/fCY7rmukj+vEPjg3q4GJjRnqmlLSP74jPekVZPzz79Dd8vNn884/ePjoCbEvX7Fy8WxaN2/8j9OVp8WAdrST88Fez80FtAdnes8ajE2F0sS/eM2pXw9xUUl76Crn+0PLduEn53un+pVpN7IrZbLa8tqRP3I3V1sevGwMjXu1VNgX4hvIwu7fKdVVUtecPIMWjaTl1+2U9gtdJ/TJasN6PPV7wo5C6KvdoQHd5PQdUNqG29N+VFeMLU2IDAxnt+cWgm4GKNiUcrSl54wBVGjgjJqaGs+Dwvl1zM+8yupzBy4aSeUm1TG2MslXT3FRXF9onDlzJpMmTVLYp2zWGsDc3BypVJpnljomJibPbHZu9uzZw7Bhw9i3bx9t2rT5Z6IL4H9+5vrfIC0tjfT0fx7KHxwcTNOmTSlbtixmZmbFoExQnOjr63/W9dLZvTsdh3dh65zfmNNlOvGx8czYMRdtPW2V55SvXYGx3pO5vP8C33WcxOX9Fxi7ZjKONZ1kNq+iXrJn6XZmd5nK7C5Teejjz6TfZmDrZCezsSxjxew/FhEZHMEP/ebwXYdJHFy9j5TkFADqdG5E7zlDOOG9n0Uu03lyM4AxW77DxEa5P81KWzBm80ye3Axgkct0Tqw5QJ+5Q6nVoYHMplxtJ4Z5T+D6gYv84DKV6wcuMsJ7IvY1y8tsdA31mPrnAtJSU/Eesoj5bSfx58JtJCUm5cmzRrt62Nd0Ij76lVJNHd270W5YZ7bP2ciCrjNIiI1nyvY5+frXsXYF3L0n4XPgInNdJuNz4CLu3pNwkPOvlq424QHP2D5no8p0okMi2TFnA3PaT2Jxr1nERcQwadssDEwNS9S/AJGPw5heb4RsW9h+stI8c/u3g7srbYd1ZuecjfyQ5c+J22ejlY8/HWpXYKT3RK4duICnyxSuHbjASO+JlJPTVLdzY/rOGcpR7z/xdJlG0M0Axm35HlMbcwWfP7n1mP1LdyjNx9jKBCMrE/Yt2sb89pNJexuDmqYOUn0LldqKwvv3H6hY3oHvJo0ulvRyI9HUo8+coRzz/pOFLtN4cjMAjy3fYyLnA3nMSlvikdUeFrpM4/ia/fSd66bQHhxqV2CE90SuH7jAApcpXM/yvXx70NTVIiIglN35tGWA++d9mVpvhGxbPUT5rGRJXnPZ1GpXD4eaTryOfpnnWAf3brI2vDBL36Ttcwpsw6O8J3H1wEXmu0zm6oGLjPKeRDk5ffU6N6bfnCEc896Pp8tUAm8GMH7Ldwpt2KKMFdP/WEh08HN+6j+PeR0nc2TVH6Qkf5TZhPqHsHnqGma3mVBgOYuD4oq51tLSwtDQUGFTNbjW1NSkTp06nD6teCN4+vRpGjdWfcO6a9cuhgwZws6dO+nUqVOx+kEZ/9ngumXLlowbN45p06ZhamqKtbU18+bNA+DZs2dIJBL8/Pxk9vHx8UgkEs6fPw/A+fPnkUgknDx5klq1aqGjo0OrVq2IiYnh+PHjVK5cGUNDQ/r3709SkuIPaWpqKmPHjsXY2BgzMzNmzZpFhtxsxMePH5k2bRq2trbo6enRoEEDWb4AW7ZswdjYmCNHjuDs7IyWlhahoaH5ljc9PR1PT09Kly6NlpYWNWvW5MSJE7LjEomE27dv4+npiUQikfkiP/z9/WnVqhU6OjqYmZkxcuRI3r59Kzs+ZMgQunXrxvz587G0tMTQ0JBRo0bx8WPOxZeRkcGPP/6Ig4MDOjo61KhRgz/++EN2PNvPZ86coW7duujq6tK4cWMeP35coL5sDh8+TN26ddHW1sbc3JwePXrIjr1+/ZpBgwZhYmKCrq4uHTt2JCgoZzZO3tcVK1ZEV1eXXr168e7dO7Zu3Yq9vT0mJiZ4eHiQlpYmO8/e3p4FCxbw9ddfo6+vj42NDatXr85X5/Tp06lQoQK6uro4ODgwe/ZsUlJSZMdzh4Vk+3fZsmWUKlUKMzMzxowZIzunZcuWhIaGMnHiRCQSiewRVWhoKF26dMHExAQ9PT2qVKnCsWPHCu1PVXQY1plD3n9y68R1IgLD+HXyKjS1tWjs2lz1OW5duH/5Ln+t3U9U8HP+Wrufh1f86eDWWWbje+YWd8/dIfppFNFPo9j3004+JH2gfO0KMpveU7/h7rnb7F78O6EPnhIb/gK/s7dJfJkAQOvhnfHZe5Yre84SHfycfZ5beR0VR/MB7fJoAmg2oB2vIuPY57mV6ODnXNlzFp9952gzsovMppVbJx5dvsfJtQd5ERzJybUHeeRzn1ZuOR1lu29deR35kt+nriP0bjCvImJ57HOfuLAXCvkZWZnQd74bm8evIi01Vammtm6dOLJmP3dOXud5YDgbJ69GU0eLBq7NVPq3rVsnHl6+x7G1B4gOjuTY2gME+PjTVk6j/3lfDnjt5o7c04LcXD98mYdX/IkNjyEyKILdC7eia6hH6UplS9S/AGlp6STGJsi2t6/e5MlPmX9bu3Xi2Jr9+J68QWRgOJsne2f5s6lKP7TJ8ufxtQeJDo7keJamNnKa2g7vzOW9Z7mc5Ys9nlt4HRVHCzlfXDtwkSOr/iDgir/SfCIDw/nlWy/unblNbNgLMlI+kPbuNRJNPZXaikKzRvUYN3IwbVs2KZb0cqOmY8QVufawV4kP5GkxoC2vIuPY67lF1h6u7DtLu5FdZTat3ToRcPkeJ7Law4ks37eW8/2D834c8tqdZxY2N6kfU0iMjZdtSQlvldqV5DUHYGxlyjfzh7N+/ErSUtPyHG/j1omjWfoiA8PZVAR9x7P0HV97gEc+/rnacBcu7z3LpT1niJK14Ze0lKu/7lO/xv/cHf5Ysp3wB0+JC4/B/9wd3rxMlNlc3PU3QTcCeBkRm285v3QmTZrEhg0b2LRpEwEBAUycOJGwsDDc3d2BzJnwQYMGyex37drFoEGD8PLyomHDhkRHRxMdHU1CQsK/pvE/nbneunUrenp6XL9+nR9//BFPT888dx8FMW/ePLy9vfHx8SE8PJw+ffqwYsUKdu7cydGjRzl9+nSeQdXWrVtRV1fn+vXrrFq1iuXLl7NhwwbZ8aFDh3LlyhV2797NvXv36N27Nx06dFAY9CUlJbF48WI2bNjAgwcPCozVWblyJV5eXixbtox79+7Rvn17unbtKkszKiqKKlWqMHnyZKKiopgyZUq+6SUlJdGhQwdMTEy4efMm+/bt4++//2bs2LEKdmfOnCEgIIBz586xa9cuDhw4wPz582XHZ82axebNm1m3bh0PHjxg4sSJDBgwgAsXLiik8/333+Pl5cWtW7dQV1fHzc0tX33ZHD16lB49etCpUyd8fX1lg/RshgwZwq1btzh8+DBXr14lIyMDFxcXhUFtUlISq1atYvfu3Zw4cYLz58/To0cPjh07xrFjx/j9999Zv369wk0BwE8//UT16tW5c+cOM2fOZOLEifm2LwMDA7Zs2cLDhw9ZuXIlv/32G8uXL8+3fOfOnSM4OJhz586xdetWtmzZwpYtW4DMhepLly6Np6cnUVFRREVFATBmzBiSk5O5ePEi/v7+LF269B+HAVnYWWFsaYL/JT/ZvtSPqTy6/gCnOhVVnle+dgX8L/op7Lt30RenOpWU2kvU1GjYpQlaOtoE3cm8wZJIJNRsVYfop1FM2zabNbc3M+/gEuq0qw+AVEOdMlUdeHjprkJaAZfu4aBCm0MtJwIu3VPY9/CiH2WrOaCmLs2yqcDDPDZ3cZAb9FdvU5dQ/xCGr5nIj7d+47ujS2nSr7VimSQShi734PT6w0SpeJxrYWeJsaUJD+TKkPoxlcfXH1I+H/861qrA/Vzlvn/xLo61VZ9TEFINdVr0b0tS4jvCA56VqH8BLO2tWXz9FxZc8mbY6vGY2yn2hcr8q2esr9Sfgdcf4piPPzM1KZbzwUU/mT+lGuqUVeKLB5fu5ZtuoZCoQUZJLTZWNCTqWnl88DAfH6iq67ztQbXvi0KFhlX46dYGPM+uZMDiURiYGeaxKelrTiKRMGK5ByfWH1Ia5mH+ifqU+/Eu5XO14Qd52vBdWf1JJBKqf1WbF0+jmLBtFj/f2sh3BxdTs129IpWxuEkvpq2o9O3blxUrVuDp6UnNmjW5ePEix44do2zZzMmHqKgohTWvf/31V1JTUxkzZgylSpWSbePHj/+0gheC/zTmunr16sydOxcAJycnvL29OXPmDE5OTgWcmcPChQtp0iTz7n/YsGHMnDmT4OBgHBwcAOjVqxfnzp1j+vTpsnPs7OxYvnw5EomEihUr4u/vz/LlyxkxYgTBwcHs2rWLiIgIbGxsgMxY2xMnTrB582YWLVoEQEpKCmvXrqVGjRqF0rls2TKmT59Ov379AFi6dCnnzp1jxYoVrFmzBmtra9TV1dHX18fa2rrA9Hbs2MH79+/Ztm0benqZsyne3t506dKFpUuXymKNNDU12bRpE7q6ulSpUgVPT0+mTp3KggULeP/+PT///DNnz56lUaNGADg4OHD58mV+/fVXWrRoIcvvhx9+kP09Y8YMOnXqxIcPH9DWVv34K/u8fv36KQzos30WFBTE4cOHuXLliuzxzY4dO7Czs+PgwYP07p0Zy5mSksK6detwdHQEMuv0999/58WLF+jr6+Ps7MxXX33FuXPn6Nu3ryyfJk2aMGPGDAAqVKjAlStXWL58OW3btlWqddasWbL/29vbM3nyZPbs2cO0adNUls/ExARvb2+kUimVKlWiU6dOnDlzhhEjRmBqaopUKsXAwEChTsPCwujZsyfVqlWT+fyfYmxpDGTGu8qTEBePua3qR9nGFsYkxCnerSfEJWBkYaywr3TFMsw7sBgNLU0+vPvAilFLZT84huZG6Ojr0Pnb7vyxbCe7l/xOjRa1GP/rNBb1m0P00yik6lLexCrm8yY2ASNzxXyyMbQwVmov1VBH38SAxNj4LJv4XDaZ+7MxL2NJ8wFtObPhKCfWHsC+Rnn6zBtK6scUru+/CGTObqelpnFu83GVfjK0yIxZTMyVX2JsPGalVfvXyMJY6Tm5/VsYarSqw6jVE9DU0SIh5jXLBnjy9vUbjC1NSsy/z/yC2DppDS+eRmJobkxHjx5M2b+QBW0n8S4+czZSmX+19XWzfKGoITE2AbPSykMXINufec/J1qRvYoBUXZrH529i41X6olBI1JDqGpP+IbFg25JGTYpEIlHqA8N824OifWJsfJ72kJ/vC8uD877cPnqVV89jMbezpOvkfkzcOZf5XaaR+jHnqVFJX3Mdv+1GWmo6f29W/lTR6B/oy9NPy11XOW04r6+z27CBuRHa+jp0/LYbB7128+eS7VRtUZPRv0xlWf95BF5/KDuv5YD29Jo5oBAl/ucUV8z1pzB69GhGj1YeZpU94ZWNfCTCf8V/PriWp1SpUsTExHxyGlZWVrJH+vL7btxQfETVsGFDhbdIGzVqhJeXF2lpady5c4eMjAwqVFCcnUlOTlaIt9XU1MyjXxWJiYlERkbKbgKyadKkCXfv3lVxVv4EBARQo0YN2cA6O7309HQeP34sG1zXqFEDXV1dmU2jRo14+/Yt4eHhxMTE8OHDhzyDzY8fP+ZZSF2+rKVKlQIyXxgoU6ZMvjr9/PwYMWKEyjKoq6vToEFOXJ+ZmRkVK1YkICDnxQ1dXV3ZwBoy69Te3l5httfKyipP28m+YZD/O/fi8fL88ccfrFixgidPnvD27VtSU1MxNMw7oyJPlSpVkEqlsr9LlSqFv7/yR83ZjBs3jm+//ZZTp07Rpk0bevbsmW9bUrYsUUPXpgxf/K3s72VDf1B6rkQiKbjHy/WClkQiUQiTAogKieT7jpPRNdSjXseGjPLyYGHf2UQGRciupTunb3Bi4xEAwh4+w6lOJVp/054dC7dkZpNbiETJPnlZeewlsiPk+Z+8TYbcn2qE+gdz6KddAEQ8eIaNkx3NB7Tj+v6LlKlajq+GurC403SFZMpWdWDtg99lf69wy4wJze0XlPhKWUkUT5Hk2VcYAq7eZ57LVPRNDWjRrw3frpnEwm4z5XL57/374Lyf7P+Rj8MJuROI58XVNOzZgjMbj8r8e3zVnyx/sA0ALR1N1KRZeeXxZ2HeF8ztz7z7lOnOzxf5oa2vg9TQmoy0FNKTXn9SGp8FBbS73P5RvtJCwb4viFtHctYejgwM59m9YBZfWUev6QNoLvdUqSSvubJVHWg71IX5nXImVrR0tOg1YwDdJ2dOkK3K0qes/yy4EResL2995Fhk143f6Zuczupzwx8+w7F2RVp8005hcH390CUeXr7LovPeBWgS/Jv8p4NrDQ0Nhb8lEgnp6emoqWVGp8hfQPJhAqrSkEgkKtMsLOnp6UilUm7fvq0waAIUBnM6OjqFWuYltxZ5CrtUjDLyO7cwacr75ejRo9ja2iocz/3yQG4/A4Xyq46OjspjqjrI3GVTVqefWs+qfHPt2jXZDHv79u0xMjJi9+7deHl55Zvep+gYPnw47du35+jRo5w6dYrFixfj5eWlciWSxYsXK8z8AzSwqc1Tvyeyv9U1M3UYWRgTH5MzADA0MyIhLl6llnglMzqGZoYk5prNTktJ5UVo5tvYT/2DcahRng5DO7Ppu1948/oNqSmpPM/16PT5kwgq1qvMm9dvSEtNyzPDZWBulCefbBJzzZBm2huSlpLK29dv87ExUpjxSYh5TXQuXdHBEdTqmHlDV75+ZQzMDPnBZ63suFRdSsNSZsTHxPNjv8wna+qamV2jkaWJwqyTYT5lgOwZKcU39Q3MjUiIVX2OKj6+TyYmNJqY0GhCfINYfG41zfq25uRvf5WYf5VpjHwUhmW5zBvwbP/2njtEZiNRU+OrAR0AMLQ0VuLPeFSRUICmt1ltLXebzs8X+aGlp834rd9DRjppiS8KPuFzID2NjIyMT2gPedtpZnt4I2ejJM1PaMu58375PJZ3CW+Z5zJVtr8kr7kK9StjYGbETz6/yPZJ1aWkp6Xx5mUSP/abi2aWPsNc+gpqawmx8bJZb4UyFaoNx8tsUlNS84SrRAU/x6muYkjf+zdJvH+T9wXuf4OifgDm/xOfxWohFhaZj1SyY1QBhZcb/ynXrl3L87eTkxNSqZRatWqRlpZGTEwM5cuXV9gKE66hDENDQ2xsbLh8+bLCfh8fHypXrvxJaTo7O+Pn58e7d+9k+65cuYKamprCrPvdu3d5//697O9r166hr69P6dKlZS9jhoWF5SmrnZ0dxUH16tU5c+aMyjKkpqZy/XrOSyUvX74kMDDwk/0ij7J6rlRJeSzxlStXKFu2LN9//z1169bFycmpwJdUC4OmpqbCi5bZ2NnZ4e7uzv79+5k8eTK//fabyjRmzpxJQkKCwlZOWpoXodGy7XlQOPExr6naNCdMSaqhTqUGVQi6rfrl0yd3AqnaTDG0qVrzmgTdVr1kF2TeRGT/+KWlpBJy7wmlHGwUbEqVsyHueQxpKamE3Q+hclPF2fnKTasTokJbiG9QHnvnZjUI9Q8hPevFohDfQCo3rZbLpjohdwJz0rn9GKtcuizL2fDyeeYLPtf3X+SHDlNZ5DJNtsVHv+LE+sMs+2a+bDAbGRRBfMxrnOU0STXUqdjAmSf5+DfYN5AqucpRtVkNgu8U/oVglUhAQ1OjRP2bG3VNdazL25KQdYOnyr8n1x/mzcuEPP6s0MCZ4Hz8GeIbqHBOtu5sf6alpBKqxBfOTavnm64ytPV1mPj7bNJSUrMG1iX50LtoZKQmK20PqnyQWdeFaQ+qff+p6BnrY2pjxsuIWNn1VtLXnM/+C8ztMJl5LlNk2+volwr9Qra+KkXUp6oNP8nVhvPYyNVfWkoqz+4FY52rb7MqV0rWt5UEJRVz/SXwWQyudXR0aNiwIUuWLOHhw4dcvHhRIR72nxIeHs6kSZN4/Pgxu3btYvXq1bJA9goVKvDNN98waNAg9u/fz9OnT7l58yZLly79Rys6TJ06laVLl7Jnzx4eP37MjBkz8PPz++QA+m+++QZtbW0GDx7M/fv3OXfuHB4eHgwcOFBhbcePHz8ybNgwHj58yPHjx5k7dy5jx45FTU0NAwMDpkyZwsSJE9m6dSvBwcH4+vqyZs0atm7d+slllWfu3Lns2rWLuXPnEhAQgL+/Pz/++COQGWfv6urKiBEjuHz5Mnfv3mXAgAHY2tri6ur6j/O+cuUKP/74I4GBgaxZs4Z9+/ap9Hf58uUJCwtj9+7dBAcHs2rVKg4cOPCPNdjb23Px4kWeP39OXFzm2qMTJkzg5MmTPH36lDt37nD27Nl8byaULUsklUjz2J3YeISuY3pSt30DSlcowyivsXz8kIzPoYsym1E/j6PPtG9kf5/cfIRqzWrS2b07pRxt6ezenSpNqnNi0xGZTZ+p31CxXmXMS1tQumIZek/9msoNq+Bz8JLM5tivh2jYuQkt+7XBqqw1bQd3pFabuvy9LXNFnDMbjtCkb2sa9f4Ka0dbes0ejImNuWxdZddp/RnsNUaW3qXtpzC1NafnrEFYO9rSqPdXNO7Tir/X/yWzObfpGJWb1aCduytWjja0c3elUpNqnJVbh/bMxqOUq+VEh9HdsShrRb2uTWjavzUXtp0E4F38WyIDwxW2tNRUEmLjiQ6JVPDv6U1H6TymB7Xb18e2gh3Dlo3h4/tkrh/K8cNwLw96Tvta7pxjVGlWg47u3bB2tKGjezcqN6mmsFaulq42ds722DnbA2BuZ4Wds71s2S1NHS16TP0ah1pOmNmaU6ZKOYYscce0lBk3j/qUqH97fDcQpwaVMSttgX3N8oxYOxltfR2u/XmhAP++5tRvf+Eypge12tfHpoIdQ2X+zJmEcPMaS3c5f57ZdBTnZjXo4O6KtaMNHdxdqdykGn/LaTq94QjN+ramSZYv+swejKmNORd2nJLZ6BrpY+dsT6nypQGwcrDBztleNjOrpafNxN9noaWjxdZp6zJfZpRIM7diICnpPY8Cg3kUGAzA88gXPAoMJiq6aGGRqkh/n0DTvq1pnOWD3lk+uJjlg27TvmaIV87L7xe2n8bM1pzeswZj7WhL495f0aRPK06tPyyzyfZ9+6z20D7L92dyteXSzvaUlrVlS0o728uWANTS1abndwNxqF0Bs9IWVGjozJiNM3j76o3SlTtK6pp7F/+W54HhCltaalqefuHvTUcV2rCbEn1uXh70kNP396ZjWW24W1Yb7qakDf+V1YZbUcrRlr6zh2BqY855uTZ8cv0h6nVuTLN+bbAsa81XgzpQo3Vdzv1+Uub7jqO7U7aqg8ISfoKS4bP5iMymTZtwc3Ojbt26VKxYkR9//DHPt+M/lUGDBvH+/Xvq16+PVCrFw8ODkSNzPnqwefNmFi5cyOTJk3n+/DlmZmY0atQIFxeXT85z3LhxJCYmMnnyZGJiYnB2dubw4cNFenlTHl1dXU6ePMn48eOpV68eurq69OzZk59//lnBrnXr1jg5OdG8eXOSk5Pp16+fwjJ/CxYswNLSksWLFxMSEoKxsTG1a9fmu++UL+hfVFq2bMm+fftYsGABS5YswdDQkObNc5aG27x5M+PHj6dz5858/PiR5s2bc+zYsTzhFp/C5MmTuX37NvPnz8fAwAAvLy/at2+v1NbV1ZWJEycyduxYkpOT6dSpE7Nnzy7Ukoj54enpyahRo3B0dCQ5OZmMjAzS0tIYM2YMERERGBoa0qFDhwJXJSkMR345gKa2JkMWjkTXUI9gvyCWDvDkw7sPMhtzG3My5MJWgm4/xtvjZ3pP7k+vyf14EfYC77FeBMt9nMTQwgj35eMxtjQh6U0S4Y+e8eOghdy/nPO+wK2T19n0/a90Hd2DQfOHERUcyUr3Hwm8lTkDfvvIVfSMDeg0vieGFiZEBYazZuhiXj3PvOEwsjTB1DbnB+BlRCxrhi6m1+zBtBjYnoSY1+ydvxnfEzk/wCF3AtnosYKuU/rRZVJfYsOi2TB2Bc/kwmVC7wXzy6hldJv2NS7jexIXHsM+z63cPKT4FKkwHP/lIJramgxYMAI9Iz1C/ILwGrhAwb+mtuaky60oEXznMb94LKfHlP50n9SXmLAX/DJ2ucLHX+yrOzJ9d07YT//ZQwC4/Mc5Nk1ZQ3p6OqUcbWnSswX6Joa8i3/D03vBLO49W/ZYuKT8a1LKFLdV49E3MeTtq0Se+gbxY/fvZfnmx4lfDqGhrcnXC4Zn+fMJywcuJDmXP+XDx4LvBLLeYwXdpvTDdVI/YsOiWT92uUKI1K0jPugb69N5fC+MLDI/wLFq6CIFTTXb1mXospybjVHeEwE4vGIvf63YR9lqDjjUynwCuOiiYqxqyqswSFe+XGNhuf8oCDePnDj/H1evB8C1Yxt+mKV8nfCikPHxHft+PEwnOR94y/kgb3uIYfXQxfSRaw975m/K0x42eKzAdUo/umb5/rexyxXaQ9nqDkyWa8t9stqyzx/n2TplDelp6dhWKkPDHi3QNdQjIeY1j6894LexyxWuo2xK6porLCey9H0jp+/ngQsU2rCZrTkZufSt91hOtyn96TapL7FhL7LacI6+m0d80DM2oIus/sJYmasN+568we/f/4bL6O70nzeU6JBI1n27jCdZfW5KcgoV6lWm7dBO6BoVzxKSBfG/OutcHEgyCn5TQPCFMGTIEOLj44v0ie//Ff7rLyP+1wwo26Ngo88IA8lnc99eKJK/sJ8Jrc/joWOhSf2CQiwA1t5aWtISiszYutMLNvqMSPnC2sSXdcXBhmd/FGz0D/nFrnhWJXEP314s6XxOfFm/gAKBQCAQCASCEufLmpL4b/nSbsY+G/T19VVuly5dKjiBXCxatEhleh07dvwXSvBpVKlSRaXOHTuUf1pYIBAIBAKB4P8LYub6E8lvNZPcy9wVBnd3d/r06aP0WH7L28mTe+H0f4Njx46pXCZR/sXK/5pnz56VWN4CgUAgEPx/Q8xcq0YMrj+R8uXLF2t6pqammJqaFmua/wbZnxcVCAQCgUDw/5cvK2r+v0WEhQgEAoFAIBAIBMWEmLkWCAQCgUAgEBQJ8YVG1YjBtUAgEAgEAoGgSIiYa9WIsBCBQCAQCAQCgaCYEDPXAoFAIBAIBIIiIWauVSMG1wKBQCAQCASCIiFWC1GNCAsRCAQCgUAgEAiKCTFzLRAIBAKBQCAoEmK1ENWIwbVAIBAIBAKBoEiImGvViMG1QCAQCAQCgaBIiJhr1YiYa4FAIBAIBAKBoJgQM9cCgUAgEAgEgiKRLuauVSIG1wLBF4CpRKOkJRSJJNJKWoLgMyLtC/sRHlt3eklLKDLet5aWtIQiMfoL87E64u293IiYa9WIsBCBQCAQCAQCgaCYEDPXAoFAIBAIBIIi8WU9j/pvEYNrgUAgEAgEAkGREGEhqhFhIQKBQCAQCAQCQTEhZq4FAoFAIBAIBEVCfKFRNWJwLRAIBAKBQCAoEmIpPtWIsBCBQCAQCAQCgaCYEDPXAoFAIBAIBIIiIeatVSMG1wKBQCAQCASCIiFWC1GNGFwLBAKBQCAQCIqEiLlWjYi5FggEAoFAIBAIigkxcy0QCAQCgUAgKBJi3lo1YnAtEAgEAoFAICgSIuZaNWJw/f+Eli1bUrNmTVasWFHSUvLw6NEjhgwZgp+fH5UqVcLPz+9fzzO3P+zt7ZkwYQITJkwo8NwtW7YwYcIE4uPj/1WNBdF0QDtaj+qCoaUx0YER/Om5lZCbj1Tal29Qme6zBmFdoTQJL15z5tfDXNnxt+x4o36tqN+jOaUq2gEQ7v+Uv37aRdjdYJlN29HdqN6+PlaONqR8+MjTO4EcXrKDmJAopXl2ndCH5v3boGukx1O/J+yY/RuRQRH5lqt2hwZ0m9wPizLWxIZFc2DZLnxP3lCwaTmgPe1HdcXY0oTIwHB2e24h6GaA7LiWrjY9p39DzXb10TfR52VELGe2HOP89lMAmJW2YOnldUrzXzvai1vHrgLgOqEPLbL0h/g9YXsh9Nfp0IDucvr3L9vFHTn9FepXpsNIV+yrOWBsZcrqkUvxPXVT0QftG9Dym7aUreqAgakhc12mEP7wmYJN8wHtaDuqK0aWxkQFRrDPcwtP8ql/pwaV6TVrMKWy6v/Ur4e5tOO0gk2tDg3oMrkv5mWsiAt7waFlu7h7Mkeblp42XSf3pUa7+hiYGxH+4Cn75m8h9F5OG6nZvj7NvmlDmaoO6Jsa8oPLVIIfPlWpq6R87DqhD/W7NMG0lBmpKamE+oewf9kuQvyCAGgxoB3tRrliZGlMZGAEez03F+BfZ3rPGoxNhdLEv3jNqV8PcVGJf7tO7odFGStis/zrJ6fbqX5l2o3sSpks3WtH/sjdXLoHLxtD414tFfaF+Abm66+icsvPn807/+DhoyfEvnzFysWzad28cbHmAdBlQu+s/kGfp35B7Jy9oVD9g6ucDw8q7R/a0V6u7vZ4biYoq+6k6lK6TelH1Za1sShjyfs3SQRc9ufPpTtIiHmtNM9xW76jWstaJMbFo2Og+1ldb50m9KZul8aYlDIjLSWVMP8QDi3bna8PBf8+IuZaUOLMnTsXPT09Hj9+zJkzZ0pEw82bNxk5cmShbPv27UtgYPH+mBWVWp0b0WPOYE55H+BHlxkE33zEt1tmYmJjptTetLQFozZn2v3oMoPTaw7Sc+5QanSoL7NxaliF24d9WN3fk597zOZ1ZByjf/8eIysTmU35BpW59PtJfu4+izUDf0BNqsbobd+jqaOVJ88O7t1oO6wzO+dsZGHXGSTExjNp+xy09LRVlsuhdgVGeU/i6oGLzHeZzNUDFxnlPYlyNZ1kNvU6N6bfnCEc896Pp8tUAm8GMH7Ld5jamMts+s4eQtUWNdk4cRWz20zg9MYj9J83jJpt6wHwKvIlk+oNl20T6g3nwM+7+fDuPf7nfQHo6N6NdsM6s33ORhZk6Z+yfQ7a+eh3rF0Bd+9J+By4yFyXyfgcuIi79yQc5PRr6WoTHvCM7XM2qkxHS1eLoFuP+GPpDqXH63RuRO85QzjhvZ9FLtN5cjOAMVu+U1n/ZqUtGLN5Jk9uBrDIZTon1hygz9yh1OrQQGZTrrYTw7wncP3ARX5wmcr1AxcZ4T0R+5rlZTYDlrpTqWl1tkzyZmH7yQRcusf47bMV2oimrhbBtx5zcOlOleXLpiR9HB0SyY45G5jTfhKLe80iLiKGSdtmYWBqSN3OjekzZyjHvP9kocs0ntwMwGPL95jItTFF/1rikeXfhS7TOL5mP33nuin416F2BUZ4T+T6gQsscJnC9QMXGJnLv5q6WkQEhLI7H90A98/7MrXeCNm2esjifO2Lyvv3H6hY3oHvJo0u1nTl6eDuKusffsiq+4nbZxfYP4z0nsi1AxfwdJnCtSwflpPzYd3Ojek7ZyhHvf/E02UaQTcDGLfle1n/oKmjRZkqDhxd/QcLOk9nnfsyrBxKMXbDdKV5thnWCSMLYwDuHLv22V1vMSGR7JmziYXtp7Cs1xxeRsQybtusgiugGEgno1i2/0XE4FrwyaSlpZGe/s8fDAUHB9O0aVPKli2LmZnyzurfxsLCAl1d3ULZ6ujoYGlp+S8ryp+vhnfi2t6zXN1zlhfBz9nvuZXXUS9pOqCdUvumA9ryOvIl+z238iL4OVf3nOXavnO0GtlFZrNtwmoubz/F84ehxARHsmvGr6hJJFRoUk1ms27wYm78cYHooAgiA0LZOXUdpqUtsKvmkCfPNm6dOLpmP3dOXicyMJxNk1ejqaNFA9dmKsvV1q0TDy/f4/jaA0QHR3J87QEe+fjTxq1Tjs3wLlzee5ZLe84QFfycPZ5beB31kpZyZXesXQGfPy/w+NoDXkbEcnHX30QEPKNsNUcAMtLTSYyNV9hqt2/AzSM+JCd9kGk5kqX/eWA4G4ug/1iW/mNrDxDg409bOf3+53054LWbOyevq0zn6oGL/LXqDx5euaf0eOvhnfHZe5Yre84SHfycfZ5beR0VR3MV9d9sQDteRcaxz3Mr0cHPubLnLD77ztFGrv5buXXi0eV7nFx7kBfBkZxce5BHPvdplaVdQ0uDWh0acGDxdp7cCCA29AVHV+wjLiKGFnL53jhwiWOr/iTgir/K8sn7q6R8fP3wZR5e8Sc2PIbIoAh2L9yKrqEepSuVpc3wzlyR8+9ezy28jopTKKc8LQa05VVkHHs9t8j8e2XfWdqN7Cqzae3WiYDL9ziR5d8TWf5tLaf7wXk/DnntzjMTm5vUjykKbTcp4W2+9kWlWaN6jBs5mLYtmxRruvK0duvEsTX78T15g8jAcDZP9s6q+6Yqz2kj6x8OZvUPmT5U7B86c3nvWS5n1d2eXHX3/k0Sywcu4NbRq7wIiSTEN4hdczdhX91R4QYdoHTlsrQd1pmMjMwB4KPL/p/d9Xbz8BUeXfEnLjyGqKAI/li4DR3Dwv2W/VMyimn7X0QMrv9jWrZsybhx45g2bRqmpqZYW1szb948AJ49e4ZEIlEIi4iPj0cikXD+/HkAzp8/j0Qi4eTJk9SqVQsdHR1atWpFTEwMx48fp3LlyhgaGtK/f3+SkpIU8k5NTWXs2LEYGxtjZmbGrFmzZJ0GwMePH5k2bRq2trbo6enRoEEDWb6QGQ5hbGzMkSNHcHZ2RktLi9DQ0HzLm56ejqenJ6VLl0ZLS4uaNWty4sQJ2XGJRMLt27fx9PREIpHIfKGKbB/t3r2bxo0bo62tTZUqVRR0Aly4cIH69eujpaVFqVKlmDFjBqmpqSrTtbe3VwiZiY+PZ+TIkVhZWaGtrU3VqlU5cuSIgh/k+euvv6hTpw7a2to4ODgwf/58hfzmzZtHmTJl0NLSwsbGhnHjxuVbzvyQakixq+rAo0uKA69Hl+5Srk4F5eWrVYFHl+4q2l+8S5lqDqipS5Weo6mjhZqGOknxqn+4tQ0yO/HcNuZ2lhhbmvBALs/Uj6k8vv6Q8nUqqkzPoVYFHubS+eDiXcrXzjxHqqFO2aoOCukCPLh0F0e5dINuPaJGm7oYW5kCULFRFazK2fDgop/SfMtWdaBslXJc3HMWAItP1O9YqwL3c2m7f/EujrVVn1NUpBrqlKnqkMdPAZfu4aBCm0MtJwJytZeHF/0oK1f/mb7PbXMXh9qZbUpNXYpUXUpKcoqCTcqHjzjWq1TkcnxOPpZqqNOif1uSEt8RGRSu1L8PL91TaGPyqPJdXv/mbtt+n6S7QsMq/HRrA55nVzJg8SgMzAyLnEaJoqautO4Drz9U6WMo2IfZ/UMem3zqDkDHQJf09HSSEt/J9mlqazJi1QR2e26mdKWyec75HK83qYaUpv3bKJRDUDKImOsSYOvWrUyaNInr169z9epVhgwZQpMmTXBycir45CzmzZuHt7c3urq69OnThz59+qClpcXOnTt5+/Yt3bt3Z/Xq1UyfnvOoa+vWrQwbNozr169z69YtRo4cSdmyZRkxYgQAQ4cO5dmzZ+zevRsbGxsOHDhAhw4d8Pf3l2lLSkpi8eLFbNiwATMzswJncFeuXImXlxe//vortWrVYtOmTXTt2pUHDx7g5OREVFQUbdq0oUOHDkyZMgV9ff1ClX/q1KmsWLECZ2dnfv75Z7p27crTp08xMzPj+fPnuLi4MGTIELZt28ajR48YMWIE2traBQ7eIfOGoGPHjrx584bt27fj6OjIw4cPkUqVD0JPnjzJgAEDWLVqFc2aNSM4OFgWYjJ37lz++OMPli9fzu7du6lSpQrR0dHcvXtXaVqFQc/EEKm6lDexCQr738QmYGBurPQcQwsjpfZSDXX0TQxIjI3Pc07X6V+TEP2Kx/nMQHafNYjgGwFEBYYr7DeyyHxsmTvdxNh4zEpbqEzPyMKYhFznJMTGY5j1WFbfxACpupTEXGVJjE3ASK7su+ZtYvASd5ZdX09qSioZ6RlsnbGOJ7eUx0g269uKyKBwgu88BsDwH+hXdk72Y+XiwCDLB8rq00hl/RsXWP+ZNvG5bHJ8n/zuA8G3H+MyrifRT56TGBdPva5Nsa9Zntin0UUux+fg4xqt6jBq9QQ0dbRIiHnNsgGZN/mZbUwxjzex8Rjm69+8mnL7V1m7NSyi7gfnfbl99CqvnsdibmdJ18n9mLhzLqB68uBzQ6KW2Zcq84dZaeWhN5Bd96p9mNM/xCvYvImNV3ltqGtp0GP6N9w4dJkPb9/L9veZM4Tg248JuROEVMkExOd0vVVtVZthqyegqaNJYkw8qwYsZMbh4g0VUoZ4oVE1YnBdAlSvXp25c+cC4OTkhLe3N2fOnCnS4HrhwoU0aZL5yG7YsGHMnDmT4OBgHBwyH8/36tWLc+fOKQyu7ezsWL58ORKJhIoVK+Lv78/y5csZMWIEwcHB7Nq1i4iICGxsbACYMmUKJ06cYPPmzSxatAiAlJQU1q5dS40aNQqlc9myZUyfPp1+/foBsHTpUs6dO8eKFStYs2YN1tbWqKuro6+vj7W1daHLP3bsWHr27AnAunXrOHHiBBs3bmTatGmsXbsWOzs7vL29kUgkVKpUicjISKZPn86cOXNQU8v/gc3ff//NjRs3CAgIoEKFzFmEbL8q44cffmDGjBkMHjxYZrtgwQKmTZvG3LlzCQsLw9ramjZt2qChoUGZMmWoX7++yvSSk5NJTk5W2JeWkYZUotjBZ+R6oCaRSCjSQzaJRGk6AK1HdaV21yas7jef1FwzJ9n09nTDpnIZVvaaS13XpvRdNEJ2bKXboiyRSjRmFKSx4HLlLbuiReshLjjUdGL1sMW8fB6HU/3KDFgwgoSY13nCFTS0NGnSsyVq6lLWPvgdgBVui7Pk59IqkeTd9wn6i4M89SZRXpeq7SWyI+T5n7xNzt4tE70Z+NO3LLnxK2mpaYTff8rNQ1coU7VcgXobujZj0KKc9xo+Bx8HXL3PPJep6Jsa0KJfG75dM4lVw5cqNy4gD+XXY16rPEkWUfetIz6y/0cGhvPsXjCLr6yDD3FkfEzK58ySQ6Klj1Q/Z9CclpA1OMxT94XoHgrhQ2XtWNm1IVWXMnL1BCRqEnbM3iDbX6NNXSo1qsqCTtPQ1tdRLuMzut4Crz5gkctU9E0NadKvNcPXTFSpqzjJr/z/3xGD6xKgevXqCn+XKlWKmJiYT07DysoKXV1dhQGglZUVN24oxu01bNhQocNv1KgRXl5epKWlcefOHTIyMmSDyWySk5MV4qA1NTXz6FdFYmIikZGRspuAbJo0afKPZm6ztWejrq5O3bp1CQjIXC0iICCARo0aKZS1SZMmvH37loiICMqUKZNv2n5+fpQuXTqPL1Rx+/Ztbt68yQ8//CDbl5aWxocPH0hKSqJ3796sWLECBwcHOnTogIuLC126dEFdXfnlt3jxYubPn6+wr76RMw2MqwLw7nUiaalpeWa89M0NeROnOFuSTWJsAgYWRgr7DMwNSUtJ5d1rxZCOViM603ZMN9Z8s5DIR2FK0+s5byhV29RhZZ95xEe/wv/vWzzLWmUBIFUz8wbG0NJEYSbawNyIRBUaIXOWOnvWOxtDcyPZbNXb129IS03LM0uZmW5mPhpamvSY2p81o37C/9wdACIehVLG2Z72I7vmGVzXcWmIVF3K4t6zeZcV3qKumVk3Rrn0GxZCv2Eu/QbmRiTEqj6nqLzJ8kHu+s/Pt4lyM2I59pn1/zar/pXbGCnMFMaFvWB533lo6mihra9DYmw8w7wnEBdecP/l9/dN2Uoc8Hn4+OP7ZGJCo4kJjSbEN4jF51ZTs229T/RvXk2Z/n0jZ6MkzX/YNhJj43n5PBZzS83PdqiT8fEdqa8/5OzI6psNLY2V1H08qkgowIf59w+KfpaqSxm1ZhLmdpZ49Z+vMGtdqXFVLMpasfLelkz9GRlIJBJGrpvMk5sBLO83/7O63j6+TyY29AWxoS946hvE/HMrleoS/HeImOsSQENDQ+FviURCenq6bEZVftYmJUX5rKF8GhKJRGWahSU9PR2pVMrt27fx8/OTbQEBAaxcmXOh6ujoqJiRUU1u++yOqrjJTlNZ+tk+LUy+OjoqZipUkJ6ezvz58xX85u/vT1BQENra2tjZ2fH48WPWrFmDjo4Oo0ePpnnz5irrdubMmSQkJChsdY0qy46npaQRfj+Eik0Vb3IqNa3O09vKVzF55htIpdz2zaoT5h9CemqabF+rkV1o79GTXwYvJtw/RGlaveZnrjLi/fUCXkXEApmPMONCX8i2yKAI4mNeU0UuT6mGOhUbOPPk9mOVvgzxDcQ5l07nZjV4khWukZaSSuj9kLw2TasTnJWuVEOKuqZGntnP9PR0JJK8XV6zvq3x+/sWT+8+kQ20svU7F1F/sG+gQpkBqjarIQs3KQ7SUlIJux9C5Vz5VG5anRAV2kJ8g/LYOzerQahc/Yf4BlK5abVcNtUJuZO3TX18n0xibDy6hno4N6/BvdM389jk5sO7DzL/frY+loC6ulSlf4NV+jewkP7Na/NPdesZ62NqY0ZGelrBxiVFRgakp+ZsaSlK675CA2eVPgbV/UNwrv4hj59z1V32wNrS3pqfv1kgu6nO5vi6g8zvMAVPl6l4ukzl+ePMSYY/Fmxl25S1wGd+vf0Lv6/KSC+m7X8RMbj+jLCwyIwzjIrKWTO4ONd8vnbtWp6/nZyckEql1KpVi7S0NGJiYihfvrzCVpRwDXkMDQ2xsbHh8uXLCvt9fHyoXLmyirMKh3xZUlNTuX37NpUqZb7k4ezsjI+Pj8LgysfHBwMDA2xtbQtMu3r16kRERBR6ub3atWvz+PHjPH4rX7687IZJR0eHrl27smrVKs6fP8/Vq1fx91cey6ylpYWhoaHCljsk5NyGozTq24qGvVti5WhL99mDMLEx53LWOqpdpvVngNcYmf3l7acxsTWn+6yBWDna0rB3Sxr2acXZ9X/JbFqP6krnyX3ZOW0dLyNiMLAwwsDCCE3dnGX2ei8YRt3uzdg2fhUf3r2X2WhoKd7cAfy96SguY3pQq319bCrY4bZsDB/fJ3P90CWZjZuXBz2mfS13zjGcm9Wgg3s3rB1t6ODejcpNqvH3pqMym9Mb/qJZ39Y06d2KUo629J09BFMbc87vyFzD+sPb9zy+9oDeMwdSsWEVzEtb0rhXSxr1aIHvKcXVIyzLWuNUvzIX9+RdAvL0pqN0HtOD2u3rY1vBjmFK9A/38qCnnP7Tm45RpVkNOmbp75il/7Scfi1dbeyc7bFztgfA3M4KO2d7hZUK9Iz0sXO2x6Z8aQCsHWywc7aXzXSd2XCEJn1b06j3V1g72tJr9mBMbMxl6+i6TuvPYLn6v7T9FKa25vScNQhrR1sa9f6Kxn1a8bdc/Z/bdIzKzWrQzt0VK0cb2rm7UqlJNc7Kaa/cvAbOLWpgVtqCSk2rMWH3XF6EROKz77zMRtdIj9LOZSmVpd0ql/bPwceaOlr0mPo1DrWcMLM1p0yVcgxZ4o5pKTNuHvXh7w1HaNq3NY2z/Nt79mBMbcy5mNXGuk37miFeY2X5Xdh+GjNbc3rPGoy1oy2Ne39Fkz6tOLX+sMzmzKajODerQfss/7Z3d6Vyk2qcyaW7tLM9pWW6LSntbC9bAlBLV5ue3w3EoXYFzEpbUKGhM2M2zuDtqzdkfCy+l9iSkt7zKDCYR4GZ6yk/j3zBo8BgoqKL9oQ1P87k6h+Gyuo+5/fCzWss3eXqPtuHHdxds/oHVyX9w5Gs/iGz7vpk1d2FrLpTk6rhvm4yZas5sGHCKtSkahhaGGNoYYxUI/NpSmJsPJGB4bLtqPd+ACzKWaOhpfnZXG+aOlq4Tu1PuVpOmNqaY1elHAOWjMKklGlxVVO+lORSfGvXrqVcuXJoa2tTp04dLl26lK/9hQsXFBYd+OWXXz4p38IiwkI+I3R0dGjYsCFLlizB3t6euLg4Zs0qvvUqw8PDmTRpEqNGjeLOnTusXr0aLy8vACpUqMA333zDoEGD8PLyolatWsTFxXH27FmqVauGi4vLJ+U5depU5s6di6OjIzVr1mTz5s34+fmxY4fy9XsLy5o1a3BycqJy5cosX76c169f4+bmBsDo0aNZsWIFHh4ejB07lsePHzN37lwmTZpUYLw1QIsWLWjevDk9e/bk559/pnz58jx69AiJREKHDh3y2M+ZM4fOnTtjZ2dH7969UVNT4969e/j7+7Nw4UK2bNlCWloaDRo0QFdXl99//x0dHR3Kls37Bnph8T1yFT1jA9qP74mRhQlRgeH8MnQJr5/HAZmPW01sc8J5XkXE8uvQJXSfPZhmA9uTEPOaP+dv5u6JnNChpgPboq6lwbBfJivkdXzFPo6v+AOAZgMzl4Aat2eegs32KWu58ccFhX0nfjmIprYm3ywYgZ6RHiF+Qfw8cAHJ73IeD5vZmpORkTN3EXznMes9ltNtSn+6TepLbNgL1o9dzlO5cIKbR3zQMzagy/heGFmYEBkYxsqhi3iVVXaAXz2W03Pa1wxfMQ49Y31ePo/jwE+7ZB+RyaZJn1bER7/iwcW8YUrHs/QPkNPvNXABH+T0m9qak55L/y8ey+kxpT/dJ/UlJuwFv4xdrhAOYV/dkem7c8J++s8eAsDlP86xacoaAGq2rcuwZTmDt2+9JwFwaMVeDq3Yy+2s+u80vieGWfW/ZuhimQ+MLE0wtc0ZrL+MiGXN0MX0mj2YFln1v3f+ZnxP5NxshNwJZKPHCrpO6UeXSX2JDYtmw9gVPPN7IrPRMdCl27T+GFubkZTwFt/j1zm0bJfC04/qbesyeFnOQGO490QF7Z+Dj9PT0ynlaEuTni3QNzHkXfwbnt4LZnHv2UQGRRAb9Bw9Y306ydpYON5ybSyvf2NYPXQxfeT8u2f+pjz+3eCxAtcp/eg6qR+xYdH8Nna5gn/LVndgspzuPlm6ff44z9Ypa0hPS8e2Uhka9miBrqEeCTGveXztAb+NXc6Cv6ZRXNx/FISbR877Oj+uXg+Aa8c2/DBrsqrTisSJXw6hoa3J1wuGZ9X9E5YPXKjQP5jamitMkgTfCWS9xwq6TemHa5YPM/uHHB/eOuKDvrE+neXqbpVc3ZmUMpOtdz/3+DIFTT/1m0vgtYd5tN464sMo74nU7dSYpv3afDbXW3p6OlaONozsORk9EwPexb8h9F4wXr3n/icvNJZUGNKePXuYMGECa9eupUmTJvz666907NiRhw8fKg37fPr0KS4uLowYMYLt27dz5coVRo8ejYWFhezdreJGklHwmyOCYkTZlxK7deuGsbExW7ZsISAgADc3N+7evUvFihX58ccfadeuHefOnaNly5acP3+er776itevX8uWg1P2xcB58+Zx8OBB2cx3y5YtqVKlCunp6ezcuROpVMqoUaNYtGiRLFQiJSWFhQsXsm3bNp4/f46ZmRmNGjVi/vz5VKtW7ZO+TJiens7ChQtZv349MTExODs7s2TJEoVBas2aNenWrVuhVvJ49uwZ5cqVY+fOnaxcuRJfX18cHR3x9vamVatWMrsLFy4wdepU7t69i6mpKYMHD2bhwoWyOOeCvtD46tUrpkyZwuHDh3n37h3ly5dnyZIldOrUSakfTp48iaenJ76+vmhoaFCpUiWGDx/OiBEjOHjwIEuWLCEgIIC0tDSqVavGwoULad26daH9OM6+b6FtPweS+IwfUSvhS3s0qfWFPXRM/sI8rMF/81i9OPG+peJFzM+U0XWVf7Tlc0X9C2sT657tLdjoH/KtfZ9iSaeoWhs0aEDt2rVZty7nK7uVK1emW7duLF6c96Zi+vTpHD58WPZeFoC7uzt3797l6tWrny48H8TgWvBFkT249vX1pWbNmiUt5z9DDK7/Xb6soZ8YXP/biMH1v48YXP+7/BeD61H2vYslnVWPt+dZIUtLSwstrbxf/v348SO6urrs27eP7t27y/aPHz8ePz8/Lly4kOec5s2bU6tWLYX3xw4cOECfPn1ISkrK885acfBl9dACgUAgEAgEghKnuF5oXLx4MUZGRgqbshlogLi4ONLS0rCyslLYb2VlRXS08vX2o6OjldqnpqYSFxen9Jx/ihhcC/4R+vr6KreCXjBQxqJFi1Sm17Fjx3+hBAKBQCAQCEoKZStkzZw5M99ziroK2T9ZQexTEC80Cv4R+a1mUpiVOXLj7u5Onz7K47h0dHSwtbUtxAcmBAKBQCAQ/JsU10dkVIWAKMPc3BypVJpnljomJibP7HQ21tbWSu3V1dUVvuNRnIjBteAfUb58+WJNz9TUFFPT/2YZIYFAIBAIBJ9GSbxJoampSZ06dTh9+rRCzPXp06dxdXVVek6jRo3466+/FPadOnWKunXr/ivx1iDCQgQCgUAgEAgEXwiTJk1iw4YNbNq0iYCAACZOnEhYWBju7u5AZpjJoEGDZPbu7u6EhoYyadIkAgIC2LRpExs3bmTKlCn/mkYxcy0QCAQCgUAgKBLFFRZSVPr27cvLly/x9PQkKiqKqlWrcuzYMdm3I6KioggLC5PZlytXjmPHjjFx4kTWrFmDjY0Nq1at+tfWuAYxuBYIBAKBQCAQFJGSXGBz9OjRjB49WumxLVu25NnXokUL7ty58y+rykGEhQgEAoFAIBAIBMWEmLkWCAQCgUAgEBSJdLFyl0rE4FogEAgEAoFAUCTE0Fo1YnAtEAgEAoFAICgS6WJ4rRIRcy0QCAQCgUAgEBQTYuZaIBAIBAKBQFAkSmopvi8BMbgWCAQCgUAgEBSJklyK73NHhIUIBAKBQCAQCATFhJi5Fgi+AFp+kJa0hCLR59XlkpZQJBJmNCtpCUViyrYva85IA0lJSygSKV/g4+7RdaeXtIQisfbW0pKWUCTG1Z1R0hI+O8QLjaoRg2uBQCAQCAQCQZEQMdeqEWEhAoFAIBAIBAJBMSFmrgUCgUAgEAgEReLLCk77bxGDa4FAIBAIBAJBkcgQnz9XiQgLEQgEAoFAIBAIigkxcy0QCAQCgUAgKBJitRDViMG1QCAQCAQCgaBIiJhr1YjBtUAgEAgEAoGgSIil+FQjYq4FAoFAIBAIBIJiQsxcCwQCgUAgEAiKhIi5Vo0YXAsEAoFAIBAIioRYik81IixEIBAIBAKBQCAoJsTMtUAgEAgEAoGgSIjVQlQjZq7/xxgyZAjdunX7x+k8e/YMiUSCn5/ff563QCAQCASCz5uMYvr3v4iYuf4PaNmyJTVr1mTFihX/6jklzcqVK0UMVj48e/aMcuXK4evrS82aNYs9fYchbXAa3RltS2MSHz/n3pxtvLz+WKmtjUs9yg1ug3HVsqhpqpP4+DkBy/4k5vw9BZuK413Rs7dCTUPK25Bogn45Rvgfl4tV95zZkxg+7BtMTIy4ccMXj/Hf8/BhoEr7bt06MmO6B+Ud7dHQ0CDoyVOWr/iVHTv+VCyjjTWLF31Hh/at0NHRJjAohJEjJ3PH1/+TtarXa4tG0y5I9I1Jj43g4/FtpIc+Un2CVB2Nlj1Rr9EUib4xGYmvSLlwgFTf85mHK9dDo3k31EytQSol/WU0qT5HSb17qUAtzQe0o+2orhhZGhMVGME+zy08ualai1ODyvSaNZhSFUqT8OI1p349zKUdpxVsanVoQJfJfTEvY0Vc2AsOLdvF3ZM3ZccXXvbGrLRlnrQvbDvJ7jkbZX9bO9rSfcY3ODVwRqImITIonHtnbtO0b2uMLI2JDIxgr+fmAvQ603vWYGwqlCb+xWtO/XqIi0r0dp3cD4syVsRm6fU7eUPBRy2+aYdZaQsAooIiOLJqHw/O+8lsOk/oTb0uTTApZUZqSiph/iH8uWwXIX5BSnW5TuhDi/5t0DXSI8TvCdtn/0ZkUITKcgDU6dCA7pP7YVHGmtiwaPYv28UdOZ0V6lemw0hX7Ks5YGxlyuqRS/E9dVNleoMWjaTl1+3Y5bmZ05uOyvZ3mdCb5v3boGukz1O/IHbO3lCgttodGuAq58ODy3bhK6cNoOWAdrQf5Sqruz2emwnKqjupupRuU/pRtWVtLMpY8v5NEgGX/flz6Q4SYl4rzXPclu/QMHcgNTGajI9J+eorDLf8/Nm88w8ePnpC7MtXrFw8m9bNG//jdOUpiesNwMjKhO4zBlClZU00tTV58TSK7dPWEXb/KQBaulp0m/4NNdrVQ8/EgJcRMZzfcrxYyy4oOmLmWlBsGBkZYWxsXNIy/l9i69qQ6p6DeLziIGfbfsfL649osnM6OrZmSu3NG1Yi5qI/Pt/8yNl2s4i78pDG26ZgVLWszOZj/FserzjIhc5zOfPVDEJ3X6TOilFYtqxebLqnThnNhPEjGTdhFg0bdyL6RSwnju1CX19P5TmvX8WzeMkqmjbvSq06bdi6dQ8bf/uZdm1byGyMjY24eP4gKSmpdO4ygGo1WjJtmifxCYmfrFVatRGaHQeTcuEA79fNID30EdoDZiAxUu5jAK0+E5A6VCX54K+8XzWJ5H2rSI+LlB3PeP+OlIsHef/bbN6vmU6q7wU0u7kjLZ+/j+t0bkTvOUM44b2fRS7TeXIzgDFbvsPERrkWs9IWjNk8kyc3A1jkMp0Taw7QZ+5QanVoILMpV9uJYd4TuH7gIj+4TOX6gYuM8J6Ifc3yMpslXWcyvd4I2bbymwUA3D52VWZjXsaKyX94Eh38nJ/7z+OHjlMJvPaQzuN7c8z7Txa6TOPJzQA8tnyPiY25Cr2WeGTpXegyjeNr9tN3rpuCXofaFRjhPZHrBy6wwGUK1w9cYGQuvfFRLzmwdAeLus5gUdcZPPK5z+j10ynlVFpm8yIkil1zNuLZfjI/9ZrNy4hYJm2bhYGpYR5dHd270W5YZ7bP2ciCrjNIiI1nyvY5aOtpq6wrx9oVcPeehM+Bi8x1mYzPgYu4e0/CoaaTzEZLV5vwgGdsl7tBUUWtdvVwqOnE6+iXCvs7uLvSdlhnds7ZyA9Z2iZun41WPtocaldgpPdErh24gKfLFK5l+bCcnA/rdm5M3zlDOer9J54u0wi6GcC4Ld9jmlV3mjpalKniwNHVf7Cg83TWuS/DyqEUYzdMV5pnm2GdoJgnYd6//0DF8g58N2l0saabjURTr0SuN11DPab+uYC01FS8hyxifttJ/LlwG0mJOTckvWYPwblFTTZPXM38NhM5u/Eofea5/St+yE06GcWy/S8iBtf/MkOGDOHChQusXLkSiUSCRCLh2bNnXLhwgfr166OlpUWpUqWYMWMGqamp+Z6TlpbGsGHDKFeuHDo6OlSsWJGVK1d+srb09HSWLl1K+fLl0dLSokyZMvzwww9KbQuTd+6wkJYtW+Lh4cGECRMwMTHBysqK9evX8+7dO4YOHYqBgQGOjo4cP164u+yiaFi0aBFWVlYYGxszf/58UlNTmTp1KqamppQuXZpNmzYpnOfv70+rVq3Q0dHBzMyMkSNH8vbtW4WyTJgwQeGcbt26MWTIENnf9vb2LFq0CDc3NwwMDChTpgzr16+XHS9XrhwAtWrVQiKR0LJly0KVuzA4jXLh2a7zPNt5njdBkdyb8ztJz1/iMLiNUvt7c34naM0RXvuF8O5pNA8W7+Ht02hKtasts4nzCSDy+C3eBEXyLjSG4A0nSHwYhnn9isWme5zHcBYvWcXBg8d58OAxQ90moKurQ/9+3VWec+HiVQ4dOsGjR08ICQlltfdG7vkH0KRJfZnNtKmjiYiIZPiISdy85UdoaARnz10mJCT0k7VqNO5E6p1zpN45R0ZcJB+PbyMj8SXq9doqtZeWr4HUvjIfti8hPeQ+GfGxpD8PJj08Z1Y+/dlD0gJukhEXScbrF6ReO076izDUylTKV0vr4Z3x2XuWK3vOEh38nH2eW3kdFUfzAe2U2jcb0I5XkXHs89xKdPBzruw5i8++c7QZ2UVm08qtE48u3+Pk2oO8CI7k5NqDPPK5Tyu3TjKbt6/ekBibINuqta5NzLNogq49lNm4Tu3Hg3O+HFiyg4gHz4gLj6Fioypc2ZOjd6/nFl5HxdFChd4WA9ryKjKOvZ5bZHqv7DtLu5Fdc3zg1omAy/c4kaX3RJbe1nJ67525zf3zvsQ8jSLmaRSHlu0iOekDDrUqyGxuHr7Moyv+xIXHEBUUwb6FW9E11KN0pbLkpq1bJ46s2c+dk9d5HhjOxsmr0dTRooFrM5V11datEw8v3+PY2gNEB0dybO0BAnz8aSun0/+8Lwe8dnPn5HWV6QAYW5nyzfzhrB+/krTUNIVjrd06cWzNfnxP3iAyMJzNk72ztDVVmV6bLG3H1x4kOjiS41k+bCOnre3wzlzee5bLWXW3J1fdvX+TxPKBC7h19CovQiIJ8Q1i19xN2Fd3lA3AsylduSxth3Vmy7R1+ZazqDRrVI9xIwfTtmWTYk03GzUdoxK53tp968rryJf8PnUdoXeDeRURy2Of+8SFvZDZONR24tqfFwi69pBXEbFc3nWG5wGf3s8VhYyMjGLZ/hcRg+t/mZUrV9KoUSNGjBhBVFQUUVFRaGho4OLiQr169bh79y7r1q1j48aNLFy4UOU5dnZ2pKenU7p0afbu3cvDhw+ZM2cO3333HXv37v0kbTNnzmTp0qXMnj2bhw8fsnPnTqysrJTafmreW7duxdzcnBs3buDh4cG3335L7969ady4MXfu3KF9+/YMHDiQpKSCHw0WVsPZs2eJjIzk4sWL/Pzzz8ybN4/OnTtjYmLC9evXcXd3x93dnfDwcACSkpLo0KEDJiYm3Lx5k3379vH3338zduzYQnoyBy8vL+rWrYuvry+jR4/m22+/5dGjzEeHN25kPmr9+++/iYqKYv/+/UVOXxkSDSnG1csphHQAxFzwx7ReBRVn5U5EgrqeNh/j36k0sWhaBf3ypYi7FvBP5MooV64MpUpZcfrvC7J9Hz9+5OKlazRqVLfQ6bT6qikVKzhy6dI12b7Ondtx+/Y9du/6lciIu9y8cZJhbl9/ulipFLVS5UgLVvRx2pN7SMso97G0Uh3SI0PQaNoVnSlr0Rm3HM32A0BdQ2U2ag5VUTMvRVpoPj6WSilT1YGHl+4q7A64dA+HOspvfBxqORFwSVH7w4t+lK3mgJq6NMumAg/z2NzFobaK8mlIqd+tGVf3npPtk0gkVP2qNi+eRuGx7Tt+vPUb0w79QNlqjnn0Prx0D0eVepVryatXMc0HF/1wrK08TYmaGnW7NEZTR4uQO8rDjqQa6jTr34akxHeEBzxTOGZhZ4mxpQkP5PJM/ZjK4+sPKa+iHACOtSpwP5fO+xfvqtSpColEwojlHpxYfyhPqIcqbYHXH6r0MRTsQ6mGOmWVtLUH+dQdgI6BLunp6SQl5vQnmtqajFg1gZ1zN5IYG19geT8nJOpaJXK9VW9Tl1D/EIavmciPt37ju6NLadKvtcI5T249pnqbOhhZmQBQoVEVLMuV+rSCCooNEXP9L2NkZISmpia6urpYW1sD8P3332NnZ4e3tzcSiYRKlSoRGRnJ9OnTmTNnjtJzAKRSKfPnz5f9Xa5cOXx8fNi7dy99+vQpkq43b96wcuVKvL29GTx4MACOjo40bap8lkNDQ+OT8q5RowazZs0CMgfzS5YswdzcnBEjRgAwZ84c1q1bx71792jYsGG+mgurwdTUlFWrVqGmpkbFihX58ccfSUpK4rvvvlPQceXKFfr168eOHTt4//4927ZtQ08vMxzB29ubLl26sHTpUpU3HMpwcXFh9OjMR5PTp09n+fLlnD9/nkqVKmFhkRn3aWZmplCvuUlOTiY5OVlhX0pGGhoSqVJ7LVMD1NSlfIhNUEwnNgFtC6NC6Xb6thNSXS2eH76msF/dQAcXvzWoaaqTkZaO38zNxFy8X6g0C8LaKjN298WLOIX9L17EUrZMaWWnyDA0NCDs2W20tDRJS0tjrMd3/H0mJ07ZoVwZRo0ayIqVv7Fk6Srq1a3FiuWeJH/8yPbtfxRZq0TXEIlUSsZbRR9nvEtAom+s/BwTS9TKVCQjNYXkXV5IdA3Q7DwMTR09Ph78NcdQSwfdKetAXR3S0/l4ZBPpwarjwiW6hkjVpbzJVd9vYhMwMleuxdDCWKm9VEMdfRMDEmPjs2zic9lk7ldGjXb10THU4+of52X7DMwN0dbXof23rhz22sOBJTuo3akR5Wo4YWRpkjftfPUqakmMjc+jNzFXmRJjE/LotalYhun7f0BDS4PkpA/8Muonop4oDk6rtarN8NUT0dTRJCEmnmUDPHn7+k0uTSYyHbl1Zcd0K8PIwljpOUYq/KqKjt92Iy01nb83H8tzLEdbXn+YlVYeepOjTbUP9U0MkKpL8+h/Exuvsq2pa2nQY/o33Dh0mQ9v38v295kzhODbj7l7+pZKPZ8lalIkEkmJXG/mZSxpPqAtZzYc5cTaA9jXKE+feUNJ/ZjC9f0XAdg7bxMDlriz5PqvpKWkkp6ewfYZvzB0ucc/LnpB/K+GdBQHYnBdAgQEBNCoUSMkEolsX5MmTXj79i0RERGUKVNG5bm//PILGzZsIDQ0lPfv3/Px48dPejkuICCA5ORkWrduXbDxP8i7evWc2FGpVIqZmRnVqlWT7cseuMbExBSbhipVqqCmlvNQxsrKiqpVq+bRkZ1nQEAANWrUkA2sIbM+0tPTefz4cZEG1/LllUgkWFtbF7ps2SxevFjhJgKgj15V+upXU3FGFrn7OYmSfUoo3a0Rlaf04Orgn0mOU4xJTn37gTOtZ6Kup41FsypUmzeAd6ExxPkUffa6f//urFuzVPZ3V9dBmbJzPRaUSCQFPip88+Ytdeq1KvGldgAAg6BJREFUQ19fj1ZfNWXZT3N5+jSMCxczY3/V1NS4ffses2YvAcDP7wHOzhVwHznokwbXOSjRpUKrRJLZBpP/WA3JmYOMjye2odV3Ih+PbILUlEzDjx94v246Ek1t1ByqotlhIOmvY0h/9lBpujlKcuUrUbIvX3uJ7Ah5/idvozzNJn2/4sF5P4WX1rLLfO/0Lc5uzHzR7k1cIh3H9KBmu3pc+P1kodJWple+v5S3yiM3174XIZEsdJmKrqEutTo2ZIjXWLz6zlUYYD+++oCFLlPRNzWgab82fLtmEsd/PUSfmQNlNivcFmfmmLu+C9Fe8+os5MWZRdmqDrQd6sL8TtMAaOjaDDMbc3rNGED3yf1k2vK0RUlhwpsL9qGydqGsrUnVpYxcPQGJmoQdszfI9tdoU5dKjaqyIEv/l0hJXG8SiRqh/sEc+mkXABEPnmHjZEfzAe1kg+uvhrhQrqYTa4ct5dXzWMrXr0z/BcOLULJP5391pY/iQAyuS4CMjIw8PxTZnbPyH5BM9u7dy8SJE/Hy8qJRo0YYGBjw008/cf16/nF6ytDR0SmS/afmraGh+AhcIpEo7Msub3p6wStmFlZDQXlm78vOU1l95NanpqaW5wc0JSUlj31++RSWmTNnMmnSJIV9x51GqLRPfvWG9NQ0tC0VZ6m1zI34EJeg4qxMbF0bUvvnkdwYuZLYS0pmpDMyePcsM74v4UEohk62VPRw/aTB9V9/neLGDd8cfVqaAFhbWxAdnXMDYmlpzouYuDznK8rKIDj4GQB37z6gUqXyTJ82Vja4joqK4WGA4qP/R4+e0KO7S5F1A2QkJZKRlpZnllqiZ0TGO+U+Tn/zGkniK9nAGiA99jkSNTUkhmZkvIrOLgwZr16QAaRHh6JmYYtGc1eSVQyuM5ISSUtNyzNDa2BuRKKK+k5UMgNtYG5IWkoqb1+/zcfGKM/MJoCprTmVmlTnV/dlCvvfvk4kLSWVKLmwhbevE0lPT8eklOLLXwXrNcljn6n3TZH0pqWkEhua6etQ/xDsqzvSys2FHd/lvA/x8X0ysaHRxIZG89Q3CM9zqzA0N2Key1SZjbpm5s+lkaUJCXIzjob5lAMgQUVZEpT4VRUV6lfGwMyIn3x+ke2TqKkhlWbw5mUSb19l3hQbWhor0RaPKhIK8OHb129IS03LM8uurO6k6lJGrZmEuZ0lXv3nK8xaV2pcFYuyVqy8t0XxHAMrMlI/kJYQVYAHSpD0NDIyMkrkekuIeU10rhCg6OAIanXMfDFSQ0sD16n9+XXUT9w/l9m3Pn8Uhp2zfZ7wkX+D9P/ReOniQMRc/wdoamY+us7G2dkZHx8fhcGaj48PBgYG2NraKj0H4NKlSzRu3JjRo0dTq1YtypcvT3Bw8CdpcnJyQkdHhzNnzhTKvjjz/lT+LQ3Ozs74+fnx7l1OfOCVK1dQU1OjQoXM+DcLCwuionJ+ANLS0rh/v2jhEZqamrJz80NLSwtDQ0OFTVVICEBGShrx955i2UJxZtuyRVVe3VS9pF3pbo2ou8Kdm6PXEP23X+EKIQE1rU+7J3/79h3Bwc9k28OHgURFvaBN6+YyGw0NDZo3a8jVq0V7dCyRSGSDdQCfqzepWMFRwaaCkwNhYc8/STtpaaRHPUXqqOhjqWM10sKU+zg9LBCJgQloasn2qZmXIiM9nYzEl0rPyUSCRKo6Lpu0NMLuh1C5qeKKIpWbVifktvKlF0N8g/LYOzerQah/COlZL8aF+AZSuWm1XDbVlcYnN+r9FW9eJnD/7B1FaSlpPLsXjJWDjcK+94lJqEkV23DlptUJVqk3sJB689oE31GeZjYSiQR1zXz8CyABCRJiQqNlW2RQBPExr3GWy1OqoU7FBs48UVEOgGDfQKrk0lm1EDrl8dl/gbkdJjPPZYpsex39khPrD7Psm/kqtVVo4KzSx5DpQ+d8fJiWkkqokrbmnKvusgfWlvbW/PzNAt7Fv1WwP77uIPM7TMHTZapsA0h/95K0N7GF9kNJkZGaXCLXW8jtxwrXEoBlORtePs/0mVRDHXVN9TwTP0Wd0BEUP2Jw/R9gb2/P9evXefbsGXFxcYwePZrw8HA8PDx49OgRhw4dYu7cuUyaNEkWzpD7nPT0dMqXL8+tW7c4efIkgYGBzJ49m5s3Va+Fmh/a2tpMnz6dadOmsW3bNoKDg7l27RobNypfCqo48/5U/i0N33zzDdra2gwePJj79+9z7tw5PDw8GDhwoCwkpFWrVhw9epSjR4/y6NEjRo8eTXx8fJHysbS0REdHhxMnTvDixQsSEgo/c1UQQb8ew/7rryjbvwUGTjZUmz8AXVtzQrZl3jxV+a4vdVZ/K7Mv3a0RdVd/i//87by6HYSWhRFaFkaoG+Q80ajg0RXL5lXRLWOJfnkbyo9yoUzvZsW6zvWq1RuYMd0DV9cOVKlSkU0bl5OU9J5duw/IbDZvWskPC2fI/p4+bSxtWjejXLkyVKzoyITxIxk4oBc7dua8ILpy5W80aFCbGdM9cHS0p1+/bgwf/g1rf9nyyVpTfI6iXrsV6rVaIjG3QbPDICRG5qTe/BsAjTb90OyRsxRYqv9lMt6/Ravbt0gsbFErWwnNdgNIvXNOFhKi0cwVNcdqSEwskZjboN7YBfWazQpc5/rMhiM06duaRr2/wtrRll6zB2NiYy5bR9d1Wn8Ge42R2V/afgpTW3N6zhqEtaMtjXp/ReM+rfh7/V8ym3ObjlG5WQ3aubti5WhDO3dXKjWpxlm5dZQhc3DaqFdLrv15gfS0vD/ip9cfpk7nxjTp1xqLsla0GNQeHQNdzEtb0DhLb+/ZgzG1MefijlMAdJv2NUO8cl4gvrD9NGa25vSeNRhrR1sa9/6KJn1acWr94RwfbDqKc7MatM/S297dlcpNqnFGTm+3qf0pX68SZqUtsKlYBtcp/anQsAo3Dmb6V1NHi25T+1OulhOmtubYVSnHwCXumJYy4+ZRn7xl23SUzmN6ULt9fWwr2DFs2Rg+vk/m+qGc+hru5UHPaV/LnXOMKs1q0NG9G9aONnR070blJtUU1qfW0tXGztkeO2d7AMztrLBztpettvEu/i3PA8MVtrTUNBJi44kOiZT5w2VMD2q1r49NBTuGyrTlXK9uXmPpLqct24cd3F2xdrShQ5YP/5bTdnrDEZr1bU2TrLrrk1V3F7LqTk2qhvu6yZSt5sCGCatQk6phaGGMoYUxUo3MG/HE2HgiA8MVNoCM9FRIT83j56KSlPSeR4HBPArMnGx5HvmCR4HBREUXLSRPFenvE0rkejuz8SjlajnRYXR3LMpaUa9rE5r2b82FbZnhVR/evifw2gN6zByAU0NnzEpb0LBXCxr0yFmW9N8ko5i2/0VEWMh/wJQpUxg8eDDOzs68f/+ep0+fcuzYMaZOnUqNGjUwNTVl2LBhshf/VJ3j7u6On58fffv2RSKR0L9/f0aPHl3opexyM3v2bNTV1ZkzZw6RkZGUKlUKd3d3pbbFnfen8G9p0NXV5eTJk4wfP5569eqhq6tLz549+fnnn2U2bm5u3L17l0GDBqGurs7EiRP56quvipSPuro6q1atwtPTkzlz5tCsWTPOnz//j7Rn8/zQNbRM9Kk0qUfmR2QeRXDlmx95H5EZXqFtZYyu3JrX5Qa1Rk1DnZpL3Ki5JGdN1NA9F7g9PvNlO3VdLWoucUOnlClpHz7y5kkkN8eu5fkhxZce/wk/LVuLjo423qsWyT4i07HT17x9m/MUoYydjcJMjJ6eLqtXLaZ0aWvev//A48fBDBoyjn37cgZet27fpVfv4SxcOINZ30/g6bNwJk2ey65dB/hU0u5f5aOOPhote6JpYEx6TDgfti8hIyHTxxIDE9SM5F4e+5jMh60/oNVpCDqjFpHx/m1mGmf25NhoaqHV2Q2JoRmkfCQ9LpLkP9eQdv8q+XH7yFX0jA3oNL4nhhYmRAWGs2boYl49z9RiZGmCqW2OlpcRsawZupheswfTYmB7EmJes3f+ZnxP5IRUhdwJZKPHCrpO6UeXSX2JDYtmw9gVPPN7opB3pabVMCttgY/cKiHy3D15k53f/0aH0d3oM28oL0Ii+cX9J4ytTOk0vhdGFiZEBobjPXRRPnpjWD10MX3k9O6ZvymP3g0eK3Cd0o+uk/oRGxbNb2OXK+g1MDdm6HIPjCxMeP8mieePQlk1+AcCLmeu0pCeno61oy0Ne7ZE38SAd/FveHYvmMW9Zyv9+MrxXw6iqa3JgAUj0DPSI8QvCK+BC/jw7oPMxtTWnPSMnPYafOcxv3gsp8eU/nSf1JeYsBf8Mna5wkdq7Ks7Mn13znsW/WcPAeDyH+fYNGWNUj/n5sQvh9DQ1uTrBcOztD1h+cCFJOfSJj/LGXwnkPUeK+g2pR+uWT5cP3Y5T+V8eOuID/rG+nSWq7tVcnVnUsqMmm3rATD3uGKY0E/95hJ4Lf93B4qD+4+CcPPIWVf7x9WZIT+uHdvww6zJ/zj9jI/v+OPHv/7z6y30XjC/jFpGt2lf4zK+J3HhMezz3MpNuRumjR4rcJ32NW4rxqFrrM+r57Ec/mkXvWYP/sflLgjxQqNqJBn/q4sMCgT/Q+y3/gfLyJUAfV5dKNjoMyJhhup1ij9Hpmz7sh77fmk/wilfmF4AKarf1/kcWXtracFGnxHj6s4o2OgzYt2zT1uityg0sW1VLOlceX62WNL5nBAz1wKBQCAQCASCIvGl3TT/l4iY6/9RwsLC0NfXV7mFhYWVtMQ8uLu7q9SrKlxFIBAIBALBf4/4QqNqxMz1/yg2Njb4+fnle/xzw9PTkylTpig9Zmho+B+rEQgEAoFAICg6YnD9P4q6ujrly5cvaRlFwtLSEktLy5KWIRAIBAKBoABEWIhqxOBaIBAIBAKBQFAkxBcaVSMG1wKBQCAQCASCIvG/Gi9dHIgXGgUCgUAgEAgEgmJCzFwLBAKBQCAQCIqEiLlWjRhcCwQCgUAgEAiKhAgLUY0ICxEIBAKBQCAQ/E/x+vVrBg4ciJGREUZGRgwcOJD4+HiV9ikpKUyfPp1q1aqhp6eHjY0NgwYNIjIyssh5i8G1QCAQCAQCgaBIpJNRLNu/xddff42fnx8nTpzgxIkT+Pn5MXDgQJX2SUlJ3Llzh9mzZ3Pnzh32799PYGAgXbt2LXLeIixEIBAIBAKBQFAkPuel+AICAjhx4gTXrl2jQYMGAPz22280atSIx48fU7FixTznGBkZcfr0aYV9q1evpn79+oSFhVGmTJlC5y9mrgUCgUAgEAgE/zNcvXoVIyMj2cAaoGHDhhgZGeHj41PodBISEpBIJBgbGxcpfzFzLRAIBAKBQCAoEunF9ELj/7V353E15f8fwF+nVKJdi0paFImKJkuy78pk+Vpn7NsvDZE1TGXfRtaMBhFjF8YQYpKMyNpiibTQokhkS6p7z++Ppjtd95aY6pzbfT/n0ePhnnvu7dWZe+t9P+dz3p9Pnz7h06dPYttUVFSgoqLyzc+ZnZ0tdcVnfX19ZGdnV+o5CgoK4O3tjR9++AEaGhpf9f1p5JoQQgghhHwVtor+W7Vqleiiw9KvVatWSf2eixcvBsMwFX7dunULAMAwjGRmlpW6/XNFRUUYMWIEhEIhfv31168+NgxLvVQI4b1JZkO4jvBVFPHlX158Imt5P0LAdYSvogpFriN8lUIIuY7w1ZRorKxabb61musIX0VJ16Lav0cLg3Zf3qkS7qRdrvTI9cuXL/Hy5csKn8/MzAwHDhzArFmzJLqDaGlpYcOGDRg/fny5jy8qKsKwYcOQkpKCixcvokGDBpX/Yf5B00IIIYQQQshXqappIV8zBURXVxe6urpf3M/JyQlv3rzBjRs30LZtWwDA9evX8ebNG3To0KHcx5UW1o8fP0ZERMQ3FdYATQshhBBCCCFfqaqmhVSH5s2bo2/fvpg8eTKio6MRHR2NyZMno3///mKdQqytrXHixAkAQHFxMYYMGYJbt25h//79EAgEyM7ORnZ2NgoLC7/q+9PINSGEEEII+SpVNXJdXfbv3w9PT0/07t0bAODm5oaAgACxfR49eoQ3b94AADIyMvDnn38CAFq1aiW2X0REBLp27Vrp703FNSGEEEIIqVV0dHSwb9++Cvcpe9mhmZlZlS3pTsU1IYQQQgj5KnxeRIZrVFwTQgghhJCvwvdpIVyiCxoJIYQQQgipIjRyTQghhBBCvgpNCykfFdeEEEIIIeSrsKzsLbZUU2haCCGEEEIIIVWERq4JIYQQQshXEdK0kHJRcU0IIYQQQr5KVfWEro1oWgghhBBCCCFVhIprQqrR4sWLJZZRJYQQQmSdEGyVfNVGNC2EkCrCMAxOnDiBgQMHVtv3cJs5DJ1H9kQ9zfpIjU3Cfp8dePY4o8LHOPRth4GzR0CvcUPkpGXjxLqDiAm7IbZP11F90Of/3KClr41niek4tDQYj28miO1j2MQY//MehabtbKCgoIDMx+n47af1ePXsJbqO6oMBs4ajvpYawAIKigqYaTcWH9/mS81k1c4GQ38eC6OmjZD3/DXO/3YSl/dfENundd92cJs9AnqNDZCT9hwn1x1E7Ge5u4zqjd7/NwCa+lp4lpiBI0t3I+nmw3+fo09bdPqxF0xbWkBNRwPLXOYi48ET0f0NGulh5ZVfpWa8cigc1s620NTXQlZiBo4uDUZymeeW/Jma438/j4Vh00Z48/w1Lvz2J/4u8zMZWjVC/1nD0djWHA0a6ePo0mBE7Doj9hyWbZuj1xQ3mNiaQ8tAB79N+QVx52+W+z2lGTBzGLqM7IX6mvWREvsYv/vsxLPH6RU+5ru+7TFo9gjoN26IF2nZOL7uAO6UOdauHoPwXZ/2aNjEGEUFhUi68whHV/+O7JRn/z5Hn3bo+mNvmLa0gLqOBnxdZiO9zLH+XOdRvdHz/9x4fXz5+n4DgNErp6C5sx20DLTx6UMB3rx4jfpa6lDTURcdz6QvHM8hZY7n+c+OJ1DyHvx+9nDoNjbAy3/eg3Fh/x4vlfp14TZ7OOx7t4W6ribS76fi6JJgPI1PFu3jOnMoHL/vAG3DBhAUFSPtbgpOrjuExi0t0Ouz///VnRcANA20Mch7FFp0bQXlusp4npqFffO2Ie1easnPVE8FA+f/CPvebVBfWx25GS9wKfhsubm+xa3Yu9h9IAQPHiYhJ/cVNq3yQY/OHar0e9QEmhZSPhq5JkRG9HUfiF4T++OAbxCWu3njTU4eZu3zhUr9uuU+xsKhKf4vYBaunbiMJS6zce3EZfxfwCyYt7IS7dOmfweM8B2HMwHHsdRlLhJvJmBG8ELoGOmK9tFrbID5IcuRnZyJX0YuxuJ+s3F6cwiKPhWKHp8QFY+/dp1GcswjAIBWQx2pmRo00sf03QuQdDMBy13m4ezW4xjuNwGt+7YTyz05wAvXT0RimcscXD8RiSkBXjBrZSnax7F/BwzzHY8zAcew3GUekm4mYHrwImiXya1cry6Sbz3C8TX7pWZ59SwXc9tMhneZr1PrD6OwoBDt/9cF5wKOY5XLfCTdTMBPwQuhbdSgnJ9JDx7//EyrXObj3NYTGOo3Hq3K/EzKqip4mfYcf6w5gDcvXkt9HuV6KshIeIIjvruk3v8lLu4D0Wfi99jvuxNL3ebjTU4e5uzzRd0KXiNNHJpiasAsXDsRCV+X2bh2IhJTA2bDosxrpFm7Fgj//RyWD1qAdaOXQEFRAbP3+kJZVaVM9rp4fOshQtbs+2LO7/o7YYjvOF4fX76+30o9vZuC3XO3wqfnTITtOAWjZo2hXFcZq/p7V+p4/vTP8Vz5z/Ec5jde7D1o7mCFiQEzcf3EZaxwmYvrJy5j8mfvwVFr3GHd0Q7BswKwvM9sJPwdjxn7fKBpoC3a50XKMxz23YXlfeZg3RBf5GbkwOuAH4b6lfz/X1nJ//9VkbeeRn3MPbYMguJiBIxbiSW9ZuHY8r3ILzMIMMRnHGy6tMJury1Y0tMLF4NCMWzxBDDK9cr9//61Pn4sQDNLCyyc5VFlz8kFIctWyVdtRMU1qXW6du2K6dOnY+bMmdDW1oaBgQG2b9+ODx8+YPz48VBXV0eTJk1w9uy/oxGRkZFo27YtVFRUYGhoCG9vbxQXF4s9p6enJ+bNmwcdHR00bNgQixcvFt1vZmYGABg0aBAYhhHdLvX777/DzMwMmpqaGDFiBN69e/fVP1fPCa4I3Xocd8Ku41liOnbN3gJlVRW0G9Cp3Mf0muCKB1ficfbXE8hOfoazv57Aw6t30XOC67/7TPoeV45cxN+Hw5GVnInDS4PxOisXXUf1Fu0zaO4PuBtxByGr9yH9fipepr/A3Yg7eJf7VvT47dM34sjyvfhj3SEAQMdhPaRm6jKqF149e4kjS4ORnZyJqMMXEXX0InpPcRPt02OCKxKuxOPcr3/gefIznPv1Dzy8eg89yuTuOak/oo5cRNThi8hOzsSRpcF4nfUSXcrkvn7iMkI3h+Bh1F2pWVihEG9z8vA2543oq1Wftvj04SOuHr6Iq/88d8jSPcjLeonOZZ67rE6jeuP1s5cIWboH2cmZuHr4Iq4djUDPKd+L9nkan4wTq/bh9qmrKC4skvo8Dy7F4pT/YYkR+srqNaE/Tm89htth15GZmI6ds7dARVUF7St4jfSe0B/3r8Qh9NcTyE7OROivJ5Bw9S56Tegv2mf92OWIConAs8fpSE94il1zt0K3kR7MbJuI9rl2IhJ/bj6K+1HxX8zZfVJ/XD3C7+PL1/dbqcsH/8LjGwnIzciBQ992iDkTjfra6ij6VISjS/fg9ReO56tnL3H0n+MZdfgirn52PLtPcMXDK/EI++c9GPbPe7D7Pz+LkooSWvdthxOr9iHpRgJynj5H6MajeJnxQuw9ePPPKDyMuouX6S+Q9TgDIcv3QrmeCh5ExoreuzWRFwB6Tx2A189y8fvcbXgal4xXGTl4dPUeXqY9F+1j4WCF6GOReBz9AK8ycnDlYDgyE56CqaOCqtLJqQ08p4xFr67OVfachF+ouCa10p49e6Crq4sbN25g+vTpmDp1KoYOHYoOHTrgzp076NOnD0aPHo38/HxkZmbCxcUFbdq0QVxcHLZt24agoCAsX75c4jnr16+P69evY+3atVi6dCkuXCg5LXnzZsmpx927dyMrK0t0GwCSk5Pxxx9/4PTp0zh9+jQiIyOxevXqr/p5dE30oaWvjft/x4m2FRcW49H1B7D8rlm5j7No3RQPyjwGAO5fjoOlQ8ljFJXqwLSlhdjzAsD9v+PQ5J/nZRgGdt0c8Dw1CzP3/oz1t4Kw8I9VaNW7TbmPByA2YiSZSbwAe3A5Dqa2FlCoo1hB7lg0KZO7cUsLiX0e/B0vyv0tTFqaw6SFOeprqSHhs+dO+DseFuU8t3lrKyRI/EyxYj9TddMzMYCWvjbuSbxG7lf4GmnSuqnE/797l2NFrxFpVNVLRvE+5H39h0RFJUU0bmnB6+PL1/ebNKXPqVRXGS/TnuN1Vsm0kYqOp0Uljmd571MLh6YAAIU6ilCso4iiT+IfZIoKCtGkjXU5WRXR6cfeYFkWd85Ei91X3XkBwK6nI57eTcGkrV5Ye2sHFoaugfMI8UGApFuPYNfzO9Hoe1OnFtA3NwRbKH2Kmzxjq+i/2oiKa1Ir2dvb4+eff4aVlRUWLFgAVVVV6OrqYvLkybCysoKvry9yc3MRHx+PX3/9FSYmJggICIC1tTUGDhyIJUuWwN/fH0LhvytQ2dnZwc/PD1ZWVhgzZgwcHR0RHh4OANDT0wMAaGlpoWHDhqLbACAUChEcHIyWLVuiU6dOGD16tOhx0nz69Alv374V+1LX0wAAvM3JE9v3bU4eNPS0yn0uTT0tvPnsMW/KPEZNWx2KdRTxNufNZ8/7Bpq6Jfuo62qirpoq+k0diPuRsdgwZhliwq7DI3Au7Ht8J/XxAKChqyk1k4aeFt5J+TkUlepATVtdtI+0TJK5xZ/nXU4eNP7J/S2ch3fH85RnUFBUxDtp37+c55aW913OG7Gfqbpp/nNsPj8mb3LeQFNPW/IBZR4n7XWlWcHrasTP45B44wEyEyueyy2NmrYGFOvw+/iWHi++vd+atrMRe1zXUX2wKW43FOsowsi6MTaNWg5BkQBAyfHRrOB4fn78Pz+e0t6n78r8LJ8+FCD59iO4eP4PmvraYBQYtB3YCWatLCVeby27O2DD/b3Y/Gg/ekx0AcMwyHmSLfH9qzMvAOg21kfnUb2Q8yQbm8euwOX9FzBs8Xi0G9xZtM+RxbuQnZSJ1dd/Q8DjA5gWvBAHfXaCLf4kNZs8Y1m2Sr5qI7qgkdRKdnZ2on8rKiqiQYMGsLW1FW0zMDAAALx48QIJCQlwcnICwzCi+52dnfH+/XtkZGSgcePGEs8JAIaGhnjx4sUXs5iZmUFd/d8C4EuPW7VqFR4/fozffvtNtC310z8Xjn32i4hhGIltkqQ85rNtn48eMMy/e5Qel9gLN3Eh6DQAIP3BEzRxaIb2g7pIfXxJ1PJzSX4/Rupen2f6fJsEKT9bZSmpKMFxQEdE7DoD15lDyzkmFT33Z/eJfqbq+ePRfkAnjF35f6LbGyesLPluEq+RL194JHFvBcdx1NJJMGluipVDFn1t5M++J3+Ob5sBHTFy5RTR7c3/HEu+vd+6/NgbidcfiB53/eTfSE94ggXHViDvWS4mb/XCL0N8UPypCPjC8ZS4T8rx/NLrItgrAKN/mYrVN36DoFiA9HupuHkyCo1bmos9LPHafax0mQs1HQ10G9cPbQZ0hKrGZ3OYayAvwyjg6d1knPzlIAAg4/4TGFmZoPOo3rh+/DIAoNs4F5i3ssKvE9fgVWYOLNs2x8hlk8AI8sAWfSw3HyFlUXFNaiUlJSWx2wzDiG0r/QMmFArBsqxEcVdajJTdLu05y45sf02Wih63YMECfPr0SawgMvikBQDQ0NcWGxlT19XE25eSo8al3uTkSYwiaehqikbO3r9+B0GxQGKUsuR580T7FBcVS3RJyErOhFUba6mPByA2P7SsktE/8UzqupoQFBXj/et3ZfaRkumz3FL3qeB4VKS1S3so11XBlQMX0HfaYKnP/a6c55aeV+Ofn+n9N+X5kti/biIl9rHodh3lkteZ5mevEY0y/y+leSNllFpDVxNvpJyN+HHxRLTu2Qarhvngdfarb8r9/vXbcv/fcXV84/+6hSdljiWrXDLVgHfvN0fx6RYf3+XjSXwyBMUCXAw+g7HrfkKrPm1x68+oCrNW5nh+6T0IAC/TnmPD8MVQVlVBXTVVvM3Jw8SAmXiZLj54UPjxE3KePkfO0+dIu5cCRzdntBnQEfcvxX52DKo375sXr5H92XHNTs5A634lF0YqqShhwNyR+O3/fsG9iBgAQObDNJjYmMFpsBMEVFyLqa1t9KoCTQshcs/GxgZXr14VK2avXr0KdXV1GBsbV/p5lJSUIBAI/nMeFRUVaGhoQF1dXfT1POkZ8l68RouOZUbkleqgWTsbJN1+VO5zpcQkwqaj+Ii7TSd7JN0peYygqBhP76VI7tPRDsm3/93nSXwyGloYie1jYG6I3IwcqY8HgCexSeVmai4l09O7KRAWCyrcJ7lM7rR7KRL7NC+T+2t1GN4d8X/dwpsXeVKf27qjHVLKee7UmMew/jzLZz9TVSv4UIAXT7NFX88ep5fzGmlR4WskOSYRLTrai21rUeY1UmrUkkn4rm87rP1hMV5mfPmMTXkERQLeHd9PHwpExV/O0+d49jiDn++3zByJ71n6nNbOdmAYBnWUS8bMmldwPFNiHlfyPWj72T52SLmTKPF8hR8/4W1OHupp1IdNZ3vEXyi/vaGgSIDiwiIYfPbz1UTelNuPJL6vvrmR6LgqKtVBHeU6Emd6KjOIIo9oWkj5qLgmcs/DwwPp6emYPn06Hj58iJMnT8LPzw+zZs2CgkLl3yJmZmYIDw9HdnY2Xr+W3grsv/hrVyhcfhqM1n3awqipCSas+wmFHz/h+sm/RftM8J+OwfN+KPOYM7DpZI++7gPRsIkR+roPRHNnW/y1K1S0z4Wdp9BpeA84D+0OwybGGO4zDjpGuri0/7xon7DtJ9Gmfwd0GtET+qYN0W1MX9j3cETE72Gix/ec4IrWfdrC9afBAIDk2w/RyMYMQ33GYZz/NNFzRe67gAbGuhj681g0bGKMDkO7wXlYd5zf/qdon/BdobDpZI8+7gNg0MQIfdwHoLmzLcLL5P5r52l0HN4DHYZ2Q8MmxhjqMxY6Rrq4XCZ3PU01NLIxg6FlIwBAQwsjNLIxkxjh0jM1gGXb5rh6uGQu/MWdp9FheA84/fPc//MZC20jXVFf3QHzRmKs/0+ix/+97zx0jHXxv5/HoGETYzgN7YYOw7rjr+2nRPsoKimikY0pGtmYQlGpDrQMdNDIxhR6pgaifVTqqYj2AYAGJvpoZGNabouyz13YdRr9f/ofHPq0hXFTE0xaNw2fPn5CdJnXyCT/6Rgy78cyjwlFi072cHEfiIZNjOHiPhA2zna4sOu0aJ/RyybDaVBn/DZjIz5++AgNPS1o6GlBSUVZtE99TTWY2JjB2NIEAGBoYQQTKcdaVo4vX99vQMkFl/08BsG0pQV0jHQRF34LHUf2gFAoRE5qNoZUwfGM2HUGzTvZo/c/78He7gNg7WyLi2V+luad7WHTxR4NGunBuqMtZh7yw/OUZ7h69BKAkvaIA+aOhHlrK+gY68KkhTlGrf4/MAoKJaPB//z/r6m84UGhMG9thb4eg6BnaoA2bs7oOLIHIveWHNeC9x+RGH0fgxeMglV7GzRopIf2Q7qg3eAuYAs/SLxGvlV+/kc8TEzGw8SSfuCZz57jYWIysrK//UMr4ReGra0fG4jc6tq1K1q1aoWNGzeKtpmZmWHmzJmYOXOmaFvZRV8iIyMxd+5cxMXFQUdHB2PHjsXy5ctRp06dcp9z4MCB0NLSQnBwMADg1KlTmDVrFp48eQJjY2M8efIEixcvxh9//IHY2FjR4zZu3IiNGzfiyZMnlf6ZJpkNAfDPohY//LtAyH6fnXhW5qKyuYeW4GXGC+yes1W07bt+7TFwzkjomegjJ+05TvxyEHfCrosfs1F90Nd9ADT1tPEsMQ2HlgXj8Q3xRS2ch3aHi8cgaBvqIDvlGf7ccASx/4xQdR3VB4Pn/YB6GvUlsifdTIBAIMT6EYtF26za2WCYz1gYWpngzYvXCAv8Q2IRGYd+7TFgzgjomhggJy0bJ3+RXIyjy6je6C3KnY6jn+V2GtIV49b9hM+d2ngEpzceFd0eNPcHtBvUCT87/yQaSek8qjd6ubtBQ08bWYnpCFm2B0n/PPfodR5o0EgPG0csKfMzNcf/yvxMFwJPii1yodNID8uv/Pv/pVRi9H3R81i1t4HXocUS+1wLuYTf5/y72M1HlD9aO2DmMHT9oTfqa9ZHcuxj7PPZIXbh4fxDS/AyIwdBcwJE2xz7tcfgOT9Az0QfL9Ke4/gvB3C7zGtk95NjUr/XzjkBiAqJAAA4D+mGSeumSezzx8bDOL9R8vF8Pr6FKBmp5Ov7TVNfG+PWTIVpSwvU06yPty/f4G1OHrQMtFFfWwNZiek4WuZ4jvnneG747HgOKXM8z392PAGgdb92cCvzHvzzl0NibQwdXJ0wcN5IaDVsgPw37xFz9jpOrjuIgncl0yfqqChhwiZPmLeyQn1tdXzIe4en8ck4u+U4TO2aoHeZ//81kRcoubhy4LwfoG/eEC/TXyB8ZyiiDv17gbmGniYGzPsBNp3sUU9LDa8yc3DlwF8YMLX8Foxf68adeEyYPl9i+4B+PbHi59lV8j2UdC2q5HkqoqNu9eWdKuHVu8df3knGUHFNiAwoLa5lhSKkXaDIX7KWt6Limo9UUTPtCKtKaXEtS5ToRHS12nzr69qncq0mimttNentVr/W6/fSpxDKMno3EkIIIYQQUkWoWwghhBBCCPkq1C2kfFRcE0IIIYSQr0KzistHxTUhhBBCCPkqQiquy0VzrgkhhBBCCKkiNHJNCCGEEEK+SkXL1cs7Kq4JIYQQQshXoWkh5aNpIYQQQgghhFQRGrkmhBBCCCFfhbqFlI+Ka0IIIYQQ8lVoznX5aFoIIYQQQgghVYRGrgkhhBBCyFehaSHlo+KaEEIIIYR8FSquy0fTQgghhBBCCKkiNHJNCCGEEEK+Co1bV4AlhMilgoIC1s/Pjy0oKOA6SqVQ3upFeauXrOVlWdnLTHkJXzAsS5NmCJFHb9++haamJt68eQMNDQ2u43wR5a1elLd6yVpeQPYyU17CFzTnmhBCCCGEkCpCxTUhhBBCCCFVhIprQgghhBBCqggV14TIKRUVFfj5+UFFRYXrKJVCeasX5a1espYXkL3MlJfwBV3QSAghhBBCSBWhkWtCCCGEEEKqCBXXhBBCCCGEVBEqrgkhhBBCCKkiVFwTQgghhBBSRai4JoQQQgghpIpQcU2IHCosLMSjR49QXFzMdRRCCPkm3bt3R15ensT2t2/fonv37jUfiJB/UCs+QuRIfn4+pk+fjj179gAAEhMTYWFhAU9PTxgZGcHb25vjhOUrKChA3bp1uY7xVTIyMsAwDIyNjbmOUqHMzExERUXhxYsXEAqFYvd5enpylKpihYWFUvM2btyYo0TSnTt3DmpqaujYsSMAYOvWrdixYwdsbGywdetWaGtrc5ywYgKBAHfv3oWpqSnvsiooKCA7Oxv6+vpi21+8eAFjY2MUFRVxlIzIOxq5JkSOLFiwAHFxcbh06ZJYodqzZ08cPnyYw2TSCYVCLFu2DMbGxlBTU0NKSgoAwMfHB0FBQRynk04oFGLp0qXQ1NSEqakpGjduDC0tLSxbtkyiEOSD3bt3w8LCAhMnTsS6deuwYcMG0dfGjRu5jifh8ePH6NSpE1RVVWFqagpzc3OYm5vDzMwM5ubmXMeTMHfuXLx9+xYAcPfuXcyePRsuLi5ISUnBrFmzOE4naebMmaL3lkAgQJcuXeDg4AATExNcunSJ23D/iI+PR3x8PADgwYMHotvx8fGIiYlBUFAQbz/QfvjwAT4+PujQoQMsLS1hYWEh9kVqhzpcByCE1Jw//vgDhw8fRvv27cEwjGi7jY0NkpOTOUwm3fLly7Fnzx6sXbsWkydPFm23tbXFhg0bMHHiRA7TSbdo0SIEBQVh9erVcHZ2BsuyiIqKwuLFi1FQUIAVK1ZwHVGMr68vfH19sWDBAigo8H+8Zdy4cahTpw5Onz4NQ0NDsdcxH6WmpsLGxgYAcOzYMfTv3x8rV67EnTt34OLiwnE6SSEhIRg1ahQA4NSpU0hNTcXDhw+xd+9eLFq0CFFRURwnBFq1agWGYcAwjNTpH6qqqtiyZQsHyb5s0qRJiIyMxOjRo2Xi9Uu+DRXXhMiRnJwciVOoQMloCh9/ye/duxfbt29Hjx494O7uLtpuZ2eHhw8fcpisfHv27MHOnTvh5uYm2mZvbw9jY2N4eHjwrrjOz8/HiBEjZKKwBoDY2Fjcvn0b1tbWXEepFGVlZeTn5wMA/vrrL4wZMwYAoKOjIxrR5pOXL1+iYcOGAIAzZ85g6NChaNq0KSZOnIjNmzdznK5EamoqWJaFhYUFbty4AT09PdF9ysrK0NfXh6KiIocJy3f27FmEhobC2dmZ6yikGsnGb1NCSJVo06YNQkNDRbdLC+odO3bAycmJq1jlyszMhKWlpcR2oVDI2/mUr169klr4WVtb49WrVxwkqtjEiRNx9OhRrmNUmo2NDV6+fMl1jErr2LEjZs2ahWXLluHGjRtwdXUFUHK9Q6NGjThOJ8nAwAAPHjyAQCDAuXPn0LNnTwAlH8L4UrCamprCzMwMQqEQjo6OMDU1FX0ZGhryJqc02tra0NHR4ToGqWY0ck2IHFm1ahX69u2LBw8eoLi4GJs2bcL9+/dx7do1REZGch1PQosWLfD333/D1NRUbPvRo0fRunVrjlJVzN7eHgEBARKjfAEBAbC3t+coVflWrVqF/v3749y5c7C1tYWSkpLY/evXr+comXRr1qzBvHnzsHLlSql5NTQ0OEomXUBAADw8PBASEoJt27aJ5gKfPXsWffv25TidpPHjx2PYsGGiKQu9evUCAFy/fp2XZwsSExNx6dIlqRe3+vr6cpSqfMuWLYOvry/27NmDevXqcR2HVBPqFkKInLl79y7WrVuH27dvQygUwsHBAfPnz4etrS3X0SScOnUKo0ePxoIFC7B06VIsWbIEjx49wt69e3H69GnRH34+iYyMhKurKxo3bgwnJycwDIOrV68iPT0dZ86cQadOnbiOKGbZsmXw8/NDs2bNYGBgIDY9iGEYXLx4kcN0kkqnr3w+jYllWTAMA4FAwEWsWiUkJATp6ekYOnSoaHR9z5490NLSwoABAzhO968dO3Zg6tSp0NXVRcOGDSVeu3fu3OEw3b9at24tli0pKQksy8LMzEziwyFfMpP/hoprQgivhYWFYeXKlWIfBnx9fdG7d2+uo5Xr2bNn2Lp1Kx4+fAiWZWFjYwMPDw8YGRlxHU2CtrY2NmzYgHHjxnEdpVK+dIalS5cuNZSkchQVFZGVlSVxrUNubi709fV5/WGA7+0vTU1N4eHhgfnz53MdpUJLliyp9L5+fn7VmITUFCquCZEjaWlpFd7Ptx7BsigtLQ0mJiZSLxBNS0vj3TFu2LAh/v77b1hZWXEdpVYqrxfzs2fP0KRJE3z8+JGjZNIJBAKsXLkSgYGBeP78uagXvo+PD8zMzHjVoUdDQwOxsbHUwo7wDs25JkSOmJmZVdgVhM+jaO/fv5eYU8m3+bUAYG5uXu5Ipbm5Oe+O8YwZM7BlyxbedIKojLy8PAQFBSEhIQEMw8DGxgYTJkyApqYm19FESo8nwzDYuXMn1NTURPcJBAJcvnyZl3OYV6xYITPtL4cOHYrz58+LdRLiOwsLC9y8eRMNGjQQ256XlwcHBwdRL38i26i4JkSOxMTEiN0uKipCTEwM1q9fz7sWcUBJy61p06bh0qVLKCgoEG3n8/za0myfe//+PS9Psd+4cQMXL17E6dOn0aJFC4k5oMePH+comXS3bt1Cnz59oKqqirZt24JlWdHr9/z583BwcOA6IgBgw4YNAEpeD4GBgWIdLJSVlWFmZobAwECu4pVLltpfWlpawsfHB9HR0VIvbuXj6qJPnjyR+nvr06dPyMjI4CARqQ5UXBMiR6R1q3B0dISRkRF++eUXDB48mINU5fvxxx8BALt27ZK42I5vSlfbYxgGPj4+Yp0ABAIBrl+/jlatWnGUrnxaWlq8+/9eES8vL7i5uWHHjh2oU6fkT1hxcTEmTZqEmTNn4vLlyxwnLJGamgoA6NatG44fP867pcPLI0vtL7dv3w41NTVERkZKzMVnGIZXxfWff/4p+ndYWJjYWRaBQIDw8HBerjBKvg0V14QQNG3aFDdv3uQ6hoT4+Hjcvn0bzZo14zrKF5WeFWBZFnfv3oWysrLoPmVlZdjb22POnDlcxSvX7t27uY7wVW7duiVWWANAnTp1MG/ePDg6OnKYTLqIiAiuI3wVWWp/WfoBRhYMHDgQQEnRP3bsWLH7lJSUYGZmBn9/fw6SkepAxTUhcuTzFeFYlkVWVhYWL17Mywva2rRpg/T0dJkorkuLqPHjx2PTpk28nA9eG2hoaCAtLU1ivnJ6ejrU1dU5SlU+gUCA4OBghIeHS+3FzLdWh35+fhg9ejQyMzMhFApx/PhxsfaX5NuU/n83NzfHzZs3oaury3EiUp2oWwghckRBQUFqf2ATExMcOnSId6s0Jicnw93dHaNGjULLli0l5lTa2dlxlEy2OTg4IDw8HNra2hI9eD/Ht767np6eOHHiBNatW4cOHTqAYRhcuXIFc+fOxf/+9z9s3LiR64hipk2bhuDgYLi6uooWZimrdG42n8hK+8sJEyZUeP+uXbtqKAkh4mjkmhA58vkpagUFBejp6cHS0lLsNDtf5OTkIDk5GePHjxdtYxiG1xc0du/evcL7+TBSOWDAAKioqAD493S1rFi3bh0YhsGYMWNQXFwMoOS0+tSpU7F69WqO00k6dOgQjhw5AhcXF66jVFqfPn3Qp08frmN80evXr8VuFxUV4d69e8jLy/vi+5BL4eHh5Z7JoA8EtQONXBNCeMvGxgbNmzfHvHnzpF7Q+Pm8UD7w8vISu11UVITY2Fjcu3cPY8eOxaZNmzhKVrvk5+cjOTkZLMvC0tKSt0tJGxkZ4dKlS2jatCnXUeSCUCiEh4cHLCwsMG/ePK7jSFiyZAmWLl0KR0dHqWcyTpw4wVEyUpWouCaklit7lfqXuLm5VWOSr1e/fn3ExcVJ7V4gaxYvXoz3799j3bp1XEchNcjf3x8pKSkICAjgbbcbHR0dJCYmQldXF9ra2hXmfPXqVQ0m+zaPHj1C165dkZWVxXUUCYaGhli7di1Gjx7NdRRSjfh3HpgQUqUqe9qfj9MsunfvXmuK61GjRqFt27a8K64FAgE2bNiAI0eOIC0tDYWFhWL386GYGjx4MIKDg6GhofHFtoF868t95coVRERE4OzZs7ztI75hwwbRxaAbNmzg7YeAykpOThZNGeKbwsJCdOjQgesYpJpRcU1ILff5nD5Z8v3338PLywt3796VukgE30baK3Lt2jVeLiKzZMkS7Ny5E7NmzYKPjw8WLVqEJ0+e4I8//oCvry/X8QAAmpqaooJPQ0NDpoo/LS0tDBo0iOsYFSrbGm7cuHHcBflKpb3lS5V2PwoNDZVod8cXkyZNwoEDB+Dj48N1FFKNaFoIIYS3FBQUyr2PjyPtACRGVkv/4N+6dQs+Pj7w8/PjKJl0TZo0webNm+Hq6gp1dXXExsaKtkVHR+PAgQNcRyQ16MyZM1BUVJS4oPH8+fMQCATo168fR8kkdevWTex26QXa3bt3x4QJE3h5kfaMGTOwd+9e2NnZwc7OTmLAYP369RwlI1WJf688Qki1+vDhAyIjI6VOAeDTimaAbI66l115DSj5g9+sWTMsXbqUd63MACA7Oxu2trYAADU1Nbx58wYA0L9/f16OrnXv3h3Hjx+HlpaW2Pa3b99i4MCBvOjGIsu8vb2ldl0RCoXw9vbmVXEtawv0ACULY5Wu1Hrv3j2x+2TpjAypGBXXhMiRmJgYuLi4ID8/Hx8+fICOjg5evnyJevXqQV9fn3fFtSyStRUPGzVqhKysLDRu3BiWlpY4f/48HBwccPPmTVG7Pj65dOmSxIdCACgoKMDff//NQSJJstxH/PHjx7CxsZHYbm1tjaSkJA4SfVlOTg4ePXoEhmHQtGlT6OnpcR2pXLL4gYB8PSquCZEjXl5e+P7777Ft2zZoaWkhOjoaSkpKGDVqFGbMmMF1PKkiIyOxbt06JCQkgGEYNG/eHHPnzkWnTp24jlYrDBo0COHh4WjXrh1mzJiBkSNHIigoCGlpaRJtBbkUHx8v+veDBw+QnZ0tui0QCHDu3DkYGxtzEU2CLPcR19TUREpKCszMzMS2JyUloX79+tyEKseHDx8wffp07N27V3SWS1FREWPGjMGWLVt4256xVEZGBhiG4c3rllQhlhAiNzQ1NdmHDx+K/v3gwQOWZVk2OjqabdasGZfRpPr999/ZOnXqsMOGDWM3bdrEbty4kR02bBirpKTE7t+/n+t4UhUXF7O//PIL26ZNG9bAwIDV1tYW++K7a9eusf7+/uzJkye5jiKGYRhWQUGBVVBQYBmGkfiqV68eGxQUxHVMmTd58mTW1taWTUpKEm17/Pgxa2dnx06cOJHDZJKmTJnCWlhYsGfOnGHfvHnDvnnzhg0NDWWbNGnCuru7cx1PKoFAwC5ZsoTV0NAQvZ41NTXZpUuXsgKBgOt4pIpQcU2IHNHV1WUfPXrEsizLNm3alD137hzLsiybkJDAqqqqchlNKmtra3b9+vUS2/39/Vlra2sOEn2Zj48Pa2hoyP7yyy9s3bp12WXLlrETJ05kGzRowG7atInreDLryZMnbGpqKsswDHvz5k32yZMnoq9nz56xxcXFXEesFfLy8tj27duzderUYc3MzFgzMzO2Tp06bLdu3djXr19zHU9MgwYN2IiICIntFy9eZHV1dWs+UCV4e3uzenp67K+//srGxcWxsbGx7NatW1k9PT124cKFXMcjVYS6hRAiR3r37o1x48bhhx9+gLu7O2JiYuDp6Ynff/8dr1+/xvXr17mOKEZFRQX379+X6HOdlJSEli1boqCggKNk5ZOF7huyvLCQrJGFPuKfY1kWFy5cQFxcHFRVVWFnZ4fOnTtzHUtCvXr1cPv2bTRv3lxs+/3799G2bVt8+PCBo2TlMzIyQmBgoMT76uTJk/Dw8EBmZiZHyUhVojnXhMiRlStX4t27dwCAZcuWYezYsZg6dSosLS15eSGeiYkJwsPDJYrr8PBwmJiYcJSqYrLQfUOWFxYCSlbg27Jli2gevrW1NaZNmwZra2uuo0mQhT7in2MYBr179+Zld5uynJyc4Ofnh71794p6yH/8+BFLliyBk5MTx+mke/XqldTXqbW1NS8/aJFvQ8U1IXLE0dFR9G89PT2cOXOGwzRfNnv2bHh6eiI2NhYdOnQAwzC4cuUKgoODsWnTJq7jSSUL3TdkscVhqZCQEIwcORKOjo6iAio6Ohq2trY4cOAAhg4dynFCcfv378eOHTvg6uqKJUuWYOTIkWjSpAns7OwQHR3Niw49mzdvxpQpU1C3bl1s3ry5wn35kLfUpk2b0LdvXzRq1Aj29vZgGAaxsbGoW7cuwsLCuI4nlb29PQICAiSOc0BAAOzt7TlKRaoaTQshRI4sWbIEo0aNQpMmTbiOUmknTpyAv78/EhISAEDULWTAgAEcJ5PO29sbGhoaWLhwoagQNDMzE3XfkNZDmFSehYUFRo0ahaVLl4pt9/Pzw++//46UlBSOkklXv359JCQkoHHjxjA0NERoaCgcHByQkpKC1q1bi85scMnc3By3bt1CgwYNYG5uXu5+DMPw7vh+/PgR+/btw8OHD8GyLGxsbPDjjz9CVVWV62hSRUZGwtXVFY0bN4aTkxMYhsHVq1eRlpaGs2fPUhekWoKKa0LkiJ2dHe7fv482bdpg1KhRGD58OK97wtYG169fR1RUFCwtLXk5f9nT0xOWlpYSI5IBAQFISkrCxo0buQlWjnr16iE+Pl5iqtDjx49hb2+P/Px8jpJJ16xZM+zduxft2rVDp06d4OrqCm9vbxw+fBjTp0/HixcvuI5IalhmZia2bduGhIQE0QcCDw8PGBkZcR2NVBEqrgmRM/fv38f+/ftx6NAhZGRkoGfPnhg1ahQGDhzIu76wN2/ehFAoRLt27cS2X79+HYqKimLTXGSNq6srdu7cCUNDQ05zGBsb488//8R3330ntv3OnTtwc3NDRkYGR8mkc3FxwdChQzF+/Hix7bt378ahQ4d4Nx2AzmRUr8zMTERFReHFixcS0534NIWlrIKCAsTHx0vNzMcP4OTrUXFNiByLiorCgQMHcPToURQUFODt27dcRxLTtm1bzJs3D0OGDBHbfvz4caxZs4Z33U2+hrq6OuLi4mBhYcFpjrp16+LevXsy05ElMDAQvr6+GDZsGNq3bw+gZM710aNHsWTJErHRPz4WKtHR0bh69SqvzmTMmjWr0vuuX7++GpN8nd27d8Pd3R3Kyspo0KCB2EqYfJzCAgDnzp3DmDFjkJubi8/LL75eQEy+HhXXhMix2NhY7Nu3D4cOHUJubi4+fvzIdSQxampqiI+PlyhAU1NTYWdnJ+p8Iov4Uly3bNkS7u7umDZtmtj2LVu2YNu2bXjw4AFHyaRTUFCo1H5UqFRet27dKrUfwzC4ePFiNaepPBMTE7i7u2PBggWVfl1wzdLSEn369IGvry8MDAy4jkOqCXULIUTOpKam4sCBA9i/fz8SExPRuXNnLF68mHddFoCSPtfPnz+XKECzsrJQpw79+qoKs2bNwrRp05CTk4Pu3bsDKGl16O/vz7v51oBsdDqRtT7iERERXEf4Jvn5+RgxYoTMFNYA8OLFC8yaNYsK61qORq4JkSNOTk64ceMGbG1t8eOPP+KHH36AsbEx17HKNWLECGRnZ+PkyZPQ1NQEAOTl5WHgwIHQ19fHkSNHOE747fgycg0A27Ztw4oVK/Ds2TMAgJmZGRYvXowxY8ZwnKxiBQUFov7GfFJbRtczMjLAMAxvf0fMmzcPOjo68Pb25jpKpU2YMAHOzs6YOHEi11FINaLimhA5snDhQvz4449o0aIF11EqJTMzE507d0Zubi5at24NoGQqi4GBAS5cuMDbhWQqg0/FdamcnByoqqpCTU1N4r6oqCg4Ojpy3qtbIBBg5cqVCAwMxPPnz5GYmAgLCwv4+PjAzMyMipb/SCgUYvny5fD398f79+8BlLxWZ8+ejUWLFvFqlFggEKB///74+PEjbG1toaSkJHY/n+aHl8rPz8fQoUOhp6cnNTNfL8IkX4fOqxIiR1auXFmp/TQ0NBAbG8t54WdsbIz4+Hjs379ftBTz+PHjMXLkSIk/SuS/q6gtY79+/XjxmlixYgX27NmDtWvXYvLkyaLttra22LBhAxXX/9GiRYsQFBSE1atXw9nZGSzLIioqCosXL0ZBQQFWrFjBdUSRlStXIiwsDM2aNQMAiQsa+ejAgQMICwuDqqoqLl26JJGZiuvagUauCSES+DiqWtusWrUKU6dOhZaWFtdRKoUvrwlLS0v89ttv6NGjh1imhw8fwsnJCa9fv+Y0nzTh4eHYsGGD2HLtM2fORM+ePbmOJsHIyAiBgYESc8FPnjwJDw8PZGZmcpRMkra2NjZs2IBx48ZxHaXSGjZsCE9PT3h7e/PqLACpWjRyTQjhtcTERFy6dElqT1hfX1+OUlWsMr13FyxYwEU0mZeZmSnRNhAomc5QVFTEQaKKBQQEwMvLC0OGDMGMGTMAlLTjc3Fxwfr16yW6tHDt1atXsLa2lthubW2NV69ecZCofCoqKnB2duY6xlcpLCzE8OHDqbCu5ai4JoTw1o4dOzB16lTo6uqiYcOGEqdQ+Vhcf6n3Lp32/W9atGiBv//+G6ampmLbjx49KpqXzyerVq3Chg0bxIpoT09PODs7Y8WKFbwrru3t7REQEIDNmzeLbQ8ICIC9vT1HqaSbMWMGtmzZIpGVz8aOHYvDhw9j4cKFXEch1YiKa0IIby1fvhwrVqzA/PnzuY5Sab6+vvD19ZWp3ruyxM/PD6NHj0ZmZiaEQiGOHz+OR48eYe/evTh9+jTX8SS8ffsWffv2ldjeu3dvXr6u165dC1dXV/z1119wcnICwzC4evUq0tPTcebMGa7jiblx4wYuXryI06dPo0WLFhLXYRw/fpyjZOUTCARYu3YtwsLCYGdnJxMXYZKvR8U1IUQCXy4Gev36NS/7b1dEFnvvVgZfXhPff/89Dh8+jJUrV4rOXjg4OODUqVPo1asX1/EkuLm54cSJE5g7d67Y9pMnT+L777/nKFX5unTpgsTERGzduhUPHz4Ey7IYPHgwPDw8xFa/5AMtLS0MHjyY6xhf5e7du6IzLPfu3RO7jy/vMfLf0QWNhBAJfLl4beLEiWjTpg3c3d05zfE1ZLH3bmXw5TUha5YvX45169bB2dkZTk5OAErmXEdFRWH27NnQ0NAQ7UtThgipHai4JkQOFRYWIjU1FU2aNJG60uGVK1fQpk0bznsar1q1CuvXr4erq6vM9ISVtd673bt3x/HjxyW6lrx9+xYDBw7k1XLXAHDz5k0IhUK0a9dObPv169ehqKgIR0dHjpJJZ25uXqn9GIZBSkpKNaepnNevXyMoKEjU3aR58+YYP348dHR0uI5GiEyg4poQOZKfn4/p06djz549ACBagMPT0xNGRka8G22tqDDhUzFS1rJly+Dn54dmzZrBwMBA4oJGvhWrCgoKyM7Ohr6+vtj2Fy9ewNjYmHcdONq2bYt58+ZhyJAhYtuPHz+ONWvW4Pr16xwlqx0iIyMxYMAAaGhoiD6o3L59G3l5efjzzz/RpUsXjhOKCwkJwZEjR5CWlobCwkKx++7cucNRKiLvaM41IXJkwYIFiIuLw6VLl8QusurZsyf8/Px4V1ynpqZyHeGrrV+/Hrt27eJ97934+HjRvx88eIDs7GzRbYFAgHPnzvFy2esHDx7AwcFBYnvr1q3x4MEDDhLVLj/99BOGDRuGbdu2QVFREUDJ68HDwwM//fSTxDxhLm3evBmLFi3C2LFjcfLkSYwfPx7Jycm4efMmfvrpJ67jETlGxTUhcuSPP/7A4cOH0b59e7ERVRsbGyQnJ3OY7F+zZs3CsmXLUL9+fcyaNavc/RiGgb+/fw0mqxxZ6b3bqlUrMAwDhmHQvXt3iftVVVWxZcsWDpJVTEVFBc+fP5eY+52VlSV1ihPXWJZFSEgIIiIipPY951tHi+TkZBw7dkxUWAOAoqIiZs2ahb1793KYTNKvv/6K7du3Y+TIkdizZw/mzZsHCwsL+Pr68q4nN5Ev/PtNRAipNjk5ORKn/wHgw4cPvLlSPSYmRjQVISYmptz9+JL3c7LSezc1NRUsy8LCwgI3btwQW/pcWVkZ+vr6YgUWX/Tq1QsLFizAyZMnoampCQDIy8vDwoULedktZMaMGdi+fTu6desmMU2IjxwcHJCQkCBaUrxUQkICWrVqxU2ocqSlpaFDhw4ASj4Mvnv3DgAwevRotG/fHgEBAVzGI3KMimtC5EibNm0QGhqK6dOnA/i3QN2xY4eokwHXIiIipP5bVshK793SRVg+H0nlO39/f3Tu3BmmpqailmaxsbEwMDDA77//znE6Sfv27cPx48fh4uLCdZRK8fT0xIwZM5CUlIT27dsDKOlusnXrVqxevVpsOpGdnR1XMQGULCWem5sLU1NTmJqaIjo6Gvb29qIPjoRwhYprQuTIqlWr0LdvXzx48ADFxcXYtGkT7t+/j2vXriEyMpLreLWCrPXe3bNnD3R1deHq6gqgpJXg9u3bYWNjg4MHD0qshMg1Y2NjxMfHY//+/YiLi4OqqirGjx+PkSNHSnyQ4QNNTU2Zal84cuRIACWvA2n3MQwDlmXBMAwEAkFNxxPTvXt3nDp1Cg4ODpg4cSK8vLwQEhKCW7duydR7kNQ+1C2EEDlz9+5drFu3Drdv34ZQKISDgwPmz58PW1tbrqMRDjRr1gzbtm1D9+7dce3aNfTo0QMbN27E6dOnUadOHd6MtMuqPXv24Ny5c9i1axdUVVW5jvNFT58+rfS+XH/wEgqFEAqForn2R44cwZUrV2BpaQl3d3coKytzmo/ILyquCSFEjtWrVw8PHz5E48aNMX/+fGRlZWHv3r24f/8+unbtipycHK4jSkhMTMSlS5ekXiDo6+vLUSrp8vPzMXjwYERFRcHMzExidF1W28W5urpi586dMDQ05DrKF3l4eGDp0qXQ1dXlOgqREzQthBA59OLFC6mFCddzKGsDc3PzCi9a41tvbjU1NeTm5qJx48Y4f/48vLy8AAB169bFx48fOU4naceOHZg6dSp0dXXRsGFDiT7ifCuux40bh9u3b2PUqFEycUFjZV2+fJmXrw9p9u3bhzlz5lBxTWoMFdeEyJHbt29j7NixSEhIkLjghw9zKGuDmTNnit0uKipCTEwMzp07h7lz53ITqgK9evXCpEmT0Lp1ayQmJormXt+/fx9mZmbchpNi+fLlWLFiBebPn891lEoJDQ1FWFgYOnbsyHUUuUUn6ElNo+KaEDkyfvx4NG3aFEFBQbVqFI1PZsyYIXX71q1bcevWrRpO82Vbt27Fzz//jPT0dBw7dgwNGjQAUPJBrPTiNj55/fo1hg4dynWMSjMxMYGGhgbXMQghNYjmXBMiR9TV1RETEwNLS0uuo8idlJQUtGrVCm/fvuU6ikybOHEi2rRpA3d3d66jVEpoaCi2bNmCwMBAXp4J+Fbq6uqIi4uTiU4ospSV1A40ck2IHOnRowfi4uKouOZASEgIdHR0uI5Rrvz8fKSlpaGwsFBsO9/m4VtaWsLHxwfR0dGwtbWVuEDQ09OTo2TSjRo1Cvn5+WjSpAnq1asnkZdWEiSk9qHimhA5snPnTowdOxb37t1Dy5YtJf7Qu7m5cZSs9mjdurXYdBuWZZGdnY2cnBz8+uuvHCaTLicnB+PGjcO5c+ek3s+3efjbt2+HmpoaIiMjJXqzMwzDu+J648aNXEcghNQwKq4JkSNXr17FlStXcPbsWYn76ILGqjFw4ECx2woKCtDT00PXrl1hbW3NTagKzJw5E3l5eYiOjka3bt1w4sQJPH/+HMuXL4e/vz/X8SSkpqZyHeGrjB07lusIX+Tg4IDw8HBoa2tj6dKlmDNnDurVq1fhYxYuXMjrMzFljRo1iua9kxpFc64JkSNmZmbo378/fHx8YGBgwHUcwgOGhoY4efIk2rZtCw0NDdy6dQtNmzbFn3/+ibVr1+LKlStcR5R5AoEAf/zxBxISEsAwDGxsbODm5gZFRUWuowEAVFVV8fjxYzRq1AiKiorIysqCvr4+17EqpaCgAPHx8VJbi9KZOMIVGrkmRI7k5ubCy8uLCusq9vbtW9HI2JcuWOTbCNqHDx9EhZSOjg5ycnLQtGlT2Nra8maBk1mzZmHZsmWoX78+Zs2aVeG+69evr6FUlZOUlAQXFxdkZmaiWbNmYFkWiYmJMDExQWhoKJo0acJ1RLRq1Qrjx49Hx44dwbIs1q1bBzU1Nan78qmP+Llz5zBmzBi8fPlS4j46E0e4RMU1IXJk8ODBiIiI4MUf9NpEW1tbNNqnpaUltcUhy7K8/IPfrFkzPHr0CGZmZmjVqhV+++03mJmZITAwkDer78XExKCoqEj07/LwsbWkp6cnmjRpgujoaNE0itzcXIwaNQqenp4IDQ3lOCEQHBwMPz8/nD59GgzD4OzZs6Ilxcvi2yI906ZNw9ChQ+Hr60sDBoRXaFoIIXJkxYoV2LhxI1xdXWWi04KsiIyMhLOzM+rUqSNxkd3nunTpUkOpKmf//v0oKirCuHHjEBMTgz59+iA3NxfKysoIDg7G8OHDuY74TTIyMmBkZAQFBQVOc9SvX1/U2aSsuLg4ODs74/379xwlk05BQQHZ2dkyMS1EQ0MDMTExNFhAeIeKa0LkiLm5ebn3MQzDu6W5Sc3Lz8/Hw4cP0bhxY5leLlpDQwOxsbGc9zbW0dHB6dOn0aFDB7HtUVFR+P7776kV338wYcIEODs7Y+LEiVxHIUQMFdeEEFLF6CIr7vFl4ZAxY8bgzp07CAoKQtu2bQEA169fx+TJk/Hdd98hODiY03zSJCcnY+PGjaILMJs3b44ZM2bwboQ4Pz8fQ4cOhZ6eHp2JI7xCxTUhhFQhWbjI6ksXBZbFtwsEK4svxXVeXh7Gjh2LU6dOiYq/4uJiuLm5ITg4GJqampzm+1xYWBjc3NzQqlUrODs7g2VZXL16FXFxcTh16hR69erFdUSRnTt3wt3dHaqqqmjQoIHYnHs6E0e4RMU1IbWcLHdakEWWlpbo06cPry+y6tatW6X2YxgGFy9erOY01YMvxXWppKQkJCQkgGVZ2NjY8HaV1NatW6NPnz5YvXq12HZvb2+cP3+eNx1kAKBhw4bw9PSEt7c353PrCSmLimtCarnShUG0tLS+WFRFRETUUKraq7ZeZMWXCwQri2/FtayoW7cu7t69CysrK7HtiYmJsLOzQ0FBAUfJJOno6ODmzZu17r1GZB+14iOklitbMFPxXP2GDBmCS5cu1bo/+DY2Nry4QLCy+NKWb8iQIXB0dIS3t7fY9l9++QU3btzA0aNHOUomnZ6eHmJjYyWK69jYWN51EBk7diwOHz6MhQsXch2FEDFUXBMiRyZMmIBNmzZBXV1dbPuHDx8wffp07Nq1i6NktUdAQACGDh2Kv//+u1ZdZCVrJzn5kjcyMhJ+fn4S2/v27Yt169ZxkKhikydPxpQpU5CSkoIOHTqAYRhcuXIFa9aswezZs7mOJ0YgEGDt2rUICwuDnZ2dxHuNprkRrtC0EELkSHlLG798+RINGzZEcXExR8lqj9p6kRVfplkEBwdj2LBhqFevXoX7paenw8jIiPMlxlVVVREbG4tmzZqJbX/48CFat26Njx8/cpRMOpZlsXHjRvj7++PZs2cAACMjI8ydOxeenp68OSMAVHztgCxfL0BkHxXXhMiBt2/fgmVZaGtr4/Hjx9DT0xPdJxAIcOrUKXh7e4v+mJJvV1svsuJLcW1oaIgPHz5g6NChmDhxokT/aL5p06YNvv/+e4mVDRcvXoxTp07h9u3bHCX7snfv3gGAxJkuoKRPt6OjI1RUVGo6FiG8R9NCCJEDpUtyMwyDpk2bStzPMAyWLFnCQbLap7CwEMOHD69VhTWfZGRkIDQ0FMHBwejWrRvMzc0xfvx4jB07Fg0bNuQ6ngQfHx/873//Q3JyMrp37w4ACA8Px8GDB3k33/pz0orqUv369ZOpOfiE1CQauSZEDkRGRoJlWXTv3h3Hjh2Djo6O6D5lZWWYmprCyMiIw4S1h5eXF/T09GrdRVZ8WfGwrBcvXmDfvn0IDg7Gw4cP0bdvX0ycOBHff/89rz7chIaGYuXKlYiNjYWqqirs7Ozg5+eHLl26cB3tm3F1JmPw4MEIDg6GhoYGBg8eXOG+x48fr6FUhIijkWtC5EDpH/HU1FQ0btyYV/Mma5vaepEVH8dh9PX14ezsjEePHiExMRF3797FuHHjoKWlhd27d6Nr165cRwQAuLq6wtXVtcJ9Dh48CDc3N9SvX7+GUskmTU1N0e8vvi3AQ0gpGrkmRM78/fff+O2335CSkoKjR4/C2NgYv//+O8zNzdGxY0eu48k8Wb3IKikpCcnJyejcuTNUVVXBsqzYhzC+XCAIAM+fP8fvv/+O3bt3IyUlBQMHDsTEiRPRs2dPfPz4ET///DNCQkLw9OlTrqNWGh/PDFSEL3PwCeEjGrkmRI4cO3YMo0ePxo8//og7d+7g06dPAEouXFq5ciXOnDnDcULZJ2u9xHNzczF8+HBcvHgRDMPg8ePHsLCwwKRJk6ClpQV/f38AgImJCcdJS3z//fcICwtD06ZNMXnyZIwZM0ZsmpOqqipmz56NDRs2cJjy69E4FyG1B38mpRFCqt3y5csRGBiIHTt2iE1X6NChA6+WNa4NkpKSEBYWJmq1xtfiycvLC3Xq1EFaWppYe7vhw4fj3LlzHCaTTl9fH5GRkbh37x5mzpwpVliXMjQ0RGpqKgfp5AdfppaFhIRg2LBhaN++PRwcHMS+COEKFdeEyJFHjx6hc+fOEts1NDSQl5dX84FqodzcXPTo0QNNmzaFi4sLsrKyAACTJk3i3SIcAHD+/HmsWbMGjRo1EttuZWXFy2kVQUFBcHJyqnAfhmFgampaQ4lqD5Zl8fTp00r13ubDh8XNmzdj/Pjx0NfXR0xMDNq2bYsGDRogJSUF/fr14zoekWNUXBMiRwwNDZGUlCSx/cqVKzR3sop4eXlBSUlJZkaCP3z4IHVBlpcvX/Kyh7Gnpyc2b94ssT0gIAAzZ86s+UC1CMuysLKyQkZGxhf3fffuHee/M3799Vds374dAQEBUFZWxrx583DhwgV4enrizZs3nGYj8o2Ka0LkyP/93/9hxowZuH79OhiGwbNnz7B//37MmTMHHh4eXMerFWRtJLhz587Yu3ev6DbDMBAKhfjll18qvDiTK8eOHYOzs7PE9g4dOiAkJISDRLWHgoICrKyskJuby3WUSklLSxMtIqSqqipa9Gb06NE4ePAgl9GInKMLGgmRI/PmzcObN2/QrVs3FBQUoHPnzlBRUcGcOXMwbdo0ruPVCrI2EvzLL7+ga9euuHXrFgoLCzFv3jzcv38fr169QlRUFNfxJOTm5kptwaahoYGXL19ykKhqmJqaSrRt5MLatWsxd+5cbNu2DS1btuQ6ToUaNmyI3NxcmJqawtTUFNHR0bC3t0dqaiovpq0Q+UWt+Aip5eLj49GyZUuxRTXy8/Px4MEDCIVC2NjYQE1NjcOEtYurqyscHBywbNkyqKurIz4+HqamphgxYgSEQiEvR1ezs7Oxbds23L59G0KhEA4ODvjpp59gaGjIdTQJLVu2hLu7u8SHwS1btmDbtm148OABR8kqVlhYiBcvXkAoFIptb9y4MUeJpNPW1kZ+fj6Ki4uhrKwMVVVVsftfvXrFUTJJkyZNgomJCfz8/BAYGIhZs2bB2dkZt27dwuDBgxEUFMR1RCKnqLgmpJZTVFREVlYW9PX1YWFhgZs3b6JBgwZcx6q1Hjx4gK5du+K7777DxYsX4ebmJjYS3KRJE64jyrRdu3Zh2rRpmDt3rthy4v7+/ti4cSMmT57McUJxjx8/xoQJE3D16lWx7aV9xAUCAUfJpNuzZ0+F948dO7aGknyZUCiEUChEnTolJ+GPHDmCK1euwNLSEu7u7lBWVuY4IZFXVFwTUss1aNAAZ86cQbt27aCgoIDnz59DT0+P61i1miyNBO/evRtqamoYOnSo2PajR48iPz+fV8VUqW3btmHFihV49uwZAMDMzAyLFy/GmDFjOE4mydnZGXXq1IG3tzcMDQ0lWtjZ29tzlIwQUl2ouCaklpsyZQr27t0LQ0NDpKWloVGjRuWuspeSklLD6WqXoqIi9O7dG7/99huaNm3KdZxKadasGQIDAyUuXoyMjMSUKVPw6NEjjpJ9WU5ODlRVVXk9ral+/fq4ffs2rK2tuY5SacnJydi9ezeSk5OxadMm6Ovr49y5czAxMUGLFi04zRYfH1/pfe3s7KoxCSHlowsaCanltm/fjsGDByMpKQmenp6YPHky1NXVuY5VKykpKeHevXu8WWCjMp4+fQpzc3OJ7aampkhLS+MgUeXJwhkYGxsbmbrQMjIyEv369YOzszMuX76MFStWQF9fH/Hx8di5cyfn1wy0atUKDMN88YJFPk65IfKDimtC5EDfvn0BALdv38aMGTOouK5GY8aMQVBQEFavXs11lEopLZzMzMzEtsfFxfFmbr6DgwPCw8Ohra2N1q1bV/jhhW8rja5Zswbz5s3DypUrYWtrK9ERRENDg6Nk0nl7e2P58uWYNWuW2O+Jbt26YdOmTRwmK0ErbxJZQMU1IXJk9+7dXEeo9QoLC7Fz505cuHABjo6OqF+/vtj969ev5yiZdCNGjICnpyfU1dVFq3dGRkZixowZGDFiBMfpSgwYMEDUxnDgwIHchvlKPXv2BAD06NFDbDtfL2i8e/cuDhw4ILFdT0+PF/2vaeVNIguouCaklhs8eDCCg4OhoaGBwYMHV7jv8ePHayhV7XXv3j04ODgAABITE8Xu4+N0keXLl+Pp06fo0aOHqOuCUCjEmDFjsHLlSo7TlfDz85P6b1kQERHBdYSvoqWlhaysLImpQjExMTA2NuYolXSrVq2CgYEBJkyYILZ9165dyMnJwfz58zlKRuQdFdeE1HKampqiok7a4hukaslaMaWsrIzDhw9j2bJliIuLg6qqKmxtbWmEsIp06dKF6whf5YcffsD8+fNx9OhR0WqdUVFRmDNnDu+6sfz2229SR9lbtGiBESNGUHFNOEPdQgghpJqkp6eDYRiJpdDJ19HW1q70qD+fFjkp9ffff+O3335DSkoKjh49CmNjY/z+++8wNzdHx44duY4npqioCOPGjcOhQ4fAsizq1KkDgUCAH374AcHBweV2GuJC3bp1kZCQIDHKnpKSAhsbGxQUFHCUjMg7GrkmhJAqVFxcjCVLlmDz5s14//49AEBNTQ3Tp0+Hn58fL5a4LksgECA4OBjh4eFSVxC8ePEiR8n+tXHjRq4jfLNjx45h9OjR+PHHH3Hnzh18+vQJAPDu3TusXLkSZ86c4TihOCUlJezfvx9Lly5FTEwMhEIhWrduDSsrK66jSTAxMUFUVJREcR0VFQUjIyOOUhFCxTUhtd6XuiuUxbdOC7Jo2rRpOHHiBNauXQsnJycAwLVr17B48WK8fPkSgYGBHCcUN2PGDAQHB8PV1RUtW7bk5bxwPi5kU1nLly9HYGAgxowZg0OHDom2d+jQAUuXLuUwWcWaNGkCCwsLAPy8VgAoWf585syZKCoqElutc968eZg9ezbH6Yg8o+KakFpO1roryLqDBw/i0KFD6Nevn2ibnZ0dGjdujBEjRvCuuD506BCOHDkCFxcXrqNUmkAgwB9//IGEhAQwDAMbGxu4ubnxaspCqUePHom6sJSloaGBvLy8mg9UCUFBQdiwYQMeP34MALCyssLMmTMxadIkjpOJmzdvHl69egUPDw8UFhYCKJkqMn/+fCxYsIDjdESeUXFNSC33Ld0VDh48CDc3N4k2cuTL6tatK9EzGihZoltZWbnmA32BsrIyLC0tuY5RaUlJSXBxcUFmZiaaNWsGlmWRmJgIExMThIaGokmTJlxHFGNoaIikpCSJ18SVK1dEI8N84uPjgw0bNmD69OliZ168vLzw5MkTLF++nOOE/2IYBmvWrIGPjw8SEhKgqqoKKysrUdvGUhkZGTAyMoKCggJHSYm8oQsaCSESNDQ0EBsby8s//ny3dOlSPHz4ELt37xb9kf/06RMmTpwIKysr3rWS8/f3R0pKCgICAnh7+r8sFxcXsCyL/fv3Q0dHBwCQm5uLUaNGQUFBAaGhoRwnFLd27Vrs2bMHu3btQq9evXDmzBk8ffoUXl5e8PX1xbRp07iOKEZXVxdbtmzByJEjxbYfPHgQ06dPl6nVJkvR7zNS02jkmhAigT5zf7uYmBiEh4ejUaNGsLe3B1Cy2mFhYSF69Ogh1mucD33Fr1y5goiICJw9exYtWrSQuOCSDxnLioyMRHR0tKiwBoAGDRpg9erVcHZ25jCZdPPmzcObN2/QrVs3FBQUoHPnzlBRUcGcOXN4V1gDJVNuHB0dJbZ/9913KC4u5iDRf0e/z0hNo+KaEEKqkJaWFv73v/+JbTMxMeEozZdpaWlh0KBBXMeoNBUVFbx7905i+/v373k57QYAVqxYgUWLFuHBgwcQCoWwsbGBmpoa17GkGjVqFLZt2yaxkuj27dvx448/cpSKENlCxTUhhFShyi4xHxUVhU+fPknMD61plc3LF/3798eUKVMQFBSEtm3bAgCuX78Od3d3uLm5cZyufPXq1YOBgQEYhuFdYT1r1izRvxmGwc6dO3H+/Hm0b98eABAdHY309HTeLSJDCF/RnGtCiAR1dXXExcXRHMVqRPNAv01eXh7Gjh2LU6dOiaawFBcXw83NDcHBwbxbhVQW+p5369atUvsxDMOLvudfi36fkZpGI9eEEMIBLsc1HBwcEB4eDm1t7S/2Qedb73MtLS2cPHkSjx8/RkJCAgDAxsaGtx1PZKHveUREBNcRqpUsXKhLahcqrgmREwKBAFeuXIGdnR20tbUr3NfU1JQXI2qkegwYMEA0HUVW+6BbWVmJCmo+F0+y1ve8NqIT9KSm0bQQQuRI3bp1kZCQILFcMKl5dKr628nKIicAYGBggEuXLqF58+Zi2xMSEtC5c2fk5ORwlEy6goICbNmyBREREXjx4gWEQqHY/Xw7k1EZ6enpMDIy4uUiQ6R2opFrQuSIra0tUlJSqLgmIunp6WAYBo0aNQIA3LhxAwcOHICNjQ2mTJnCcTpJsrTICQD89NNPWLZsmUTf8xUrVvCyFd+ECRNw4cIFDBkyBG3btuXdWYGyrSy/pLSNJJ+79ZDaiUauCZEj58+fx/z587Fs2TJ89913EiswamhocJRM/vDlgsZOnTphypQpGD16NLKzs9G0aVO0bNkSiYmJ8PT0hK+vL6f5Pidri5wMGjQI4eHhUFFRkdr3vCw+9BTX1NTEmTNneNkzHADGjx9f6X1lrRMOqT1o5JoQOdK3b18AgJubm9iIFMuyYBgGAoGAq2hyhy/jGvfu3RO1tDty5AhsbW0RFRWF8+fPw93dnXfFtawtciJrfc+NjY2hrq7OdYxyUcFMZAEV14TIkdreFYAPFi9ejPHjx8PU1LTC/aQthMKFoqIi0XSFv/76S9Qr2traGllZWVxGk0rWFjmRtWLQ398f8+fPR2Bg4Bdfw4QQ6WhaCCGEVKHvvvsOcXFx6NKlCyZOnIjBgwejbt26XMcqV7t27dCtWze4urqid+/eiI6Ohr29PaKjozFkyBBkZGRwHVHM9OnTsXfvXpiYmEhd5KRsl5vPC3Au5eTk4NGjR2AYBk2bNoWenh7XkaTKycnBsGHDcPnyZdSrV0+ia9CrV684SiZdSEgIjhw5grS0NBQWFordJ4sXX5LagYprQuTM33//jd9++w0pKSk4evQojI2N8fvvv8Pc3BwdO3bkOl6tEB8fj927d+PAgQMoLCzEiBEjMGHCBLRp04braBIuXbqEQYMG4e3btxg7dix27doFAFi4cCEePnzIi3nAZcnagicfPnwQfSAo7byhqKiIMWPGYMuWLahXrx7HCcX17NkTaWlpmDhxomhFybLGjh3LUTJJmzdvxqJFizB27Fjs2LED48ePR3JyMm7evImffvoJK1as4DoikVcsIURuhISEsKqqquykSZNYFRUVNjk5mWVZlt26dSvbr18/jtPVPkVFRezx48fZ77//nlVSUmJbtmzJbty4kc3Ly+M6mpji4mL21atXYttSU1PZ58+fi25fuXKFLSgoqOlo3yw9PZ0VCARcx2CnTJnCWlhYsGfOnGHfvHnDvnnzhg0NDWWbNGnCuru7cx1PgqqqKhsbG8t1jEpp1qwZe+DAAZZlWVZNTU30+8zHx4f96aefuIxG5JwC18U9IaTmLF++HIGBgdixY4fY6d4OHTrQKdRqIBQKUVhYiE+fPoFlWejo6GDbtm0wMTHB4cOHuY4noqioKLGwkJmZGfT19UW3+/Xrh8zMzJqO9s1sbGzw5MkTrmPg2LFjCAoKQr9+/aChoQENDQ24uLhgx44dCAkJ4TqeBGtra3z8+JHrGJWSlpaGDh06AABUVVVF1zGMHj0aBw8e5DIakXNUXBMiRx49eoTOnTtLbNfQ0EBeXl7NB6qlbt++jWnTpsHQ0BBeXl5o3bo1EhISEBkZiYcPH8LPzw+enp5cx/wqrIzNIORL3vz8fBgYGEhs19fXR35+PgeJKrZ69WrMnj0bly5dQm5uLt6+fSv2xScNGzZEbm4ugJJVZaOjowEAqampvPn/T+QTFdeEyBFDQ0MkJSVJbL9y5Qrn/ZZrCzs7O7Rv3x6pqakICgpCeno6Vq9eLVqqGwDGjBnDu5X5SPVwcnKCn58fCgoKRNs+fvyIJUuWiBbB4ZO+ffvi2rVr6NGjB/T19aGtrQ1tbW1oaWlJnN3gWvfu3XHq1CkAwMSJE+Hl5YVevXph+PDhGDRoEMfpiDyjVnyEyJH/+7//w4wZM7Br1y4wDINnz57h2rVrmDNnDu/6GcuqoUOHYsKECTA2Ni53Hz09PYllpUnttGnTJvTt2xeNGjWCvb09GIZBbGws6tati7CwMK7jSZCldp3bt28XvY/c3d2ho6ODK1eu4Pvvv4e7uzvH6Yg8o24hhMiZRYsWYcOGDaKRNBUVFcyZMwfLli3jOBnhM3V1dcTFxcnMGQ4+5f348SP27duHhw8fgmVZ2NjY4Mcff4SqqirX0WRaWloaTExMJDqasCyL9PR0NG7cmKNkRN5RcU2IHMrPz8eDBw8gFAphY2MDNTU1riPJtFmzZlV6Xz71Xv4afFmuvbJkLa+rqyt27twJQ0NDTnNcvny5wvulXbPBFUVFRWRlZYldeAsAubm50NfXpxVnCWdoWgghcqhevXpSl5Am3yYmJqZS+30+wiZLZG0cRtbyXr58mRddOrp27Sqxrezrlk8FK8uyUt9T79+/5/XCTaT2o+KaEDlSUFCALVu2ICIiAi9evJCY90vt+L6NLM1T/dzHjx/BsqxoMZOnT5/ixIkTsLGxQe/evUX78WW59lJJSUlITk5G586doaqqKlFoPXjwAEZGRhwmlE2vX78Wu11UVISYmBj4+PjwZlGW0jNFDMPAx8dHbCEegUCA69evo1WrVhylI4SKa0LkyoQJE3DhwgUMGTIEbdu2lemRVFI1BgwYgMGDB8Pd3R15eXlo164dlJSU8PLlS6xfvx5Tp07lOqKY3NxcDB8+HBcvXgTDMHj8+DEsLCwwadIkaGlpwd/fHwBgYmLCcVLZpKmpKbGtV69eUFFRgZeXF27fvs1BKnGlZ4pYlsXdu3ehrKwsuk9ZWRn29vaYM2cOV/EIoeKaEHkSGhqKM2fOwNnZmesotdaHDx+wevVqhIeHSz07kJKSwlEy6e7cuYMNGzYAAEJCQmBgYICYmBgcO3YMvr6+vCuuvby8UKdOHaSlpaF58+ai7cOHD4eXl5eouCZVS09PD48ePeI6BoB/zxSNHz8emzZtgoaGBseJCBFHxTUhcsTY2Bjq6upcx6jVJk2ahMjISIwePRqGhoa8PzuQn58vek2cP38egwcPhoKCAtq3b4+nT59ynE7S+fPnERYWhkaNGoltt7Ky4mVeWRMfHy92m2VZZGVlYfXq1bC3t+colXS7d+8W/TsjIwMMw1TYApOQmkLFNSFyxN/fH/Pnz0dgYCBMTU25jlMrnT17FqGhoTJzdsDS0hJ//PEHBg0ahLCwMHh5eQEAXrx4wcsRwQ8fPojNsS318uVLqKiocJCodmnVqhUYhpG4ILR9+/bYtWsXR6mkEwqFWL58Ofz9/fH+/XsAJS0YZ8+ejUWLFkFBgdbJI9ygVx4hcsTR0REFBQWwsLCAuro6dHR0xL7If6etrS1Tx9LX1xdz5syBmZkZ2rVrJ1o18Pz582jdujXH6SR17twZe/fuFd1mGAZCoRC//PILunXrxmGyfzk4OIguDFy6dGmlljlfuHAhL143qampSElJQWpqKlJTU/H06VPk5+fj6tWrsLa25jqemEWLFiEgIACrV69GTEwM7ty5g5UrV2LLli3w8fHhOh6RY9TnmhA50rNnT6SlpWHixIkwMDCQmLIwduxYjpLVHvv27cPJkyexZ88eqSOsfJSdnY2srCzY29uLRvtu3LgBDQ0N3hVUDx48QNeuXfHdd9/h4sWLcHNzw/379/Hq1StERUWhSZMmXEeEqqoqHj9+jEaNGpXbi5nPwsPDy71mgE+j10ZGRggMDISbm5vY9pMnT8LDwwOZmZkcJSPyjoprQuRIvXr1cO3aNd7NnZR1rVu3FvugkpSUBJZlYWZmBiUlJbF9qd3hf5ednY1t27bh9u3bEAqFcHBwwE8//cT5AiylnJycoKamho4dO2LJkiWYM2dOuQs1+fr61nC6ii1ZsgRLly6Fo6Oj1GsGTpw4wVEySXXr1kV8fDyaNm0qtv3Ro0do1aoVL/qGE/lExTUhcsTBwQG//vor2rdvz3WUWmXJkiWV3tfPz68ak3w9WetuIgsePXoEPz8/JCcn486dO7CxsUGdOpKXODEMw7sPW4aGhli7di1Gjx7NdZQvateuHdq1a4fNmzeLbZ8+fTpu3ryJ6OhojpIReUfFNSFy5Pz581iyZAlWrFgBW1tbiVFVPl7ARqrXyJEjK+xuMmPGDI6SSbd7926oqalh6NChYtuPHj2K/Px83k1tUlBQQHZ2tsxMC2nQoAFu3LjBi+k1XxIZGQlXV1c0btwYTk5OYBgGV69eRXp6Os6cOYNOnTpxHZHIKSquCZEjpfNpPy+gSle349PSxrLKwsICN2/eRIMGDcS25+XlwcHBgXcjwVpaWjLV3aRZs2YIDAyUuHgxMjISU6ZM4U0vZlk1f/58qKmpycQFgWlpaahTpw62bt2Khw8fgmVZ2NjYwMPDA8XFxWjcuDHXEYmcolZ8hMgRWV6mW1Y8efJE6oeUT58+ISMjg4NEFZO17iZPnz6Fubm5xHZTU1OkpaVxkOjLkpOTsXHjRiQkJIBhGDRv3hwzZszg5ehwQUEBtm/fjr/++gt2dnYSZ7fWr1/PUTJJ5ubmyMrKkliWPTc3FyYmJjRYQDhDxTUhcqRLly5cR6i1/vzzT9G/w8LCxJaRFggECA8Pl1oUcm3ZsmXw9fWVme4m+vr6iI+Ph5mZmdj2uLg4ibMFfBAWFgY3Nze0atUKzs7OYFkWV69eRYsWLXDq1Cn06tWL64hi4uPj0apVKwDAvXv3xO7j24JI5Z14f//+PerWrVvDaQj5F00LIUTO5OXlISgoSDSKZmNjgwkTJogVg+TrlZ1y8/mvVSUlJZiZmcHf3x/9+/fnIp4YWe5uMm/ePBw5cgS7d+9G586dAZRMCZkwYQKGDBmCdevWcZxQXOvWrdGnTx+sXr1abLu3tzfOnz/Pu+MrC2bNmgUA2LRpEyZPniz2oVAgEOD69etQVFREVFQUVxGJnKPimhA5cuvWLfTp0weqqqpo27YtWJbFrVu38PHjR5w/fx4ODg5cR5R55ubmuHnzJnR1dbmOUi5Z7m5SWFiI0aNH4+jRo6IOHEKhEGPGjEFgYCCUlZU5Tiiubt26uHv3LqysrMS2JyYmws7ODgUFBRwlk12l8+0jIyPh5OQk9v9cWVkZZmZmmDNnjsQxJ6SmUHFNiBzp1KkTLC0tsWPHDlFhUlxcjEmTJiElJQWXL1/mOCEhlZOYmIi4uDioqqrC1tYWpqamXEeSysTEBOvXr5fobnLkyBHMmTOHt/PEZcH48eOxadMm6nJEeIeKa0LkiKqqKmJiYiRW3Xvw4AEcHR0rtUwz+TJZWeEOkL3uJrJm6dKl2LBhA7y9vdGhQwcwDIMrV65gzZo1mD17Nn7++WeuIxJCqhhd0EiIHNHQ0EBaWppEcZ2eng51dXWOUtUuX1rhjm9krbuJQCBAcHBwuR9eLl68yFEy6Xx8fKCurg5/f38sWLAAQMmy3YsXL4anpyfH6Qgh1YGKa0LkyPDhwzFx4kSsW7dObBRt7ty5GDlyJNfxaoXAwEAEBwfzfoU7We1uMmPGDAQHB8PV1RUtW7bk/YcXhmHg5eUFLy8vvHv3DgCkfpCNioqCo6MjVFRUajoiIaSK0bQQQuRIYWEh5s6di8DAQBQXFwMo6WQxdepUrF69mv6wVwFZWeFOlrqblKWrq4u9e/fCxcWF6yhVSkNDA7GxsbCwsOA6CiHkP6LimhA5lJ+fj+TkZLAsC0tLS5nobywrZGmFO0A2upuUZWRkhEuXLqFp06ZcR6lS6urqiIuLo+KakFqApoUQIkcmTJiATZs2QV1dHba2tqLtHz58wPTp03l3sZ0skqUV7gAgNTWV6whfZfbs2di0aRMCAgJ4PyWEECKfaOSaEDmiqKiIrKws6Ovri21/+fIlGjZsKJoqQr5daQ9eaRiG4d0Fd4BsdTcZNGgQIiIioKOjgxYtWkh8eDl+/DhHyf4bGrkmpPagkWtC5MDbt2/BsixYlsW7d+/ElgYWCAQ4c+aMRMFNvk1ERATXEb6KrHU30dLSwqBBg7iOQQgh5aLimhA5oKWlBYZhwDCM1LmqDMN81ap9pHIyMjLAMAyMjY25jlIuWeluUmr37t1cR6gWfP9QQwipPCquCZEDERERYFkW3bt3x7Fjx6CjoyO6T1lZGaampjAyMuIwYe0hFAqxfPly+Pv74/379wBKTvnPnj0bixYtEnXp4IvCwkJ06NCB6xi1EsuySEtLg76+PlRVVb+4LyGkdqA514TIkadPn6Jx48Y0SlaNFixYgKCgICxZsgTOzs5gWRZRUVFYvHgxJk+ejBUrVnAdUYwsdDdxcHBAeHg4tLW10bp16wpfv3fu3KnBZBUTCoWoW7cu7t+/DysrK67jEEJqCI1cEyJHEhISkJ6ejo4dOwIAtm7dih07dsDGxgZbt26FtrY2xwll3549e7Bz5064ubmJttnb28PY2BgeHh68K65lobvJgAEDRD3YBw4cyG2Yr6CgoAArKyvk5uZScU2IHKGRa0LkiK2tLdasWQMXFxfcvXsXjo6OmD17Ni5evIjmzZvX2vmsNalu3bqIj4+XmNv+6NEjtGrVCh8/fuQomXSy2N1EloSGhmL16tXYtm0bWrZsyXUcQkgNoOKaEDmipqaGe/fuwczMDIsXL8a9e/cQEhKCO3fuwMXFBdnZ2VxHlHnt2rVDu3btsHnzZrHt06dPx82bNxEdHc1RstohPT0dDMOgUaNGAIAbN27gwIEDsLGxwZQpUzhOJ0lbWxv5+fkoLi6GsrKyxNzrV69ecZSMEFJdaFoIIXJEWVkZ+fn5AIC//voLY8aMAQDo6Ojg7du3XEarNdauXQtXV1f89ddfcHJyAsMwuHr1KtLS0nD27Fmu41VIFrqb/PDDD5gyZQpGjx6N7Oxs9OzZEy1btsS+ffuQnZ0NX19friOK2bhxI9cRCCE1jEauCZEjbm5uKCwshLOzM5YtW4bU1FQYGxvj/PnzmDZtGhITE7mOWCtkZmZi27ZtSEhIAMuysLGxgYeHBy87sshadxNtbW1ER0ejWbNm2Lx5Mw4fPoyoqCicP38e7u7uSElJ4ToiIUTO0cg1IXIkICAAHh4eCAkJwbZt20QjlGfPnkXfvn05Tld7NGjQAG5ubmjfvr1oxcNbt24BgNiFjnywaNEiBAUFYfXq1RLdTQoKCnh3AWZRUZHo4sa//vpLdDytra2RlZXFZbRyJScnY/fu3UhOTsamTZugr6+Pc+fOwcTEBC1atOA6HiGkitHINSGEVKFz585hzJgxyM3NlehdzDAMBAIBR8mkMzIyQmBgoETRf/LkSXh4eCAzM5OjZNK1a9cO3bp1g6urK3r37o3o6GjY29sjOjoaQ4YMQUZGBtcRxURGRqJfv35wdnbG5cuXkZCQAAsLC6xduxY3btxASEgI1xEJIVWMX+f7CCHVKi0trcIv8t9NmzYNQ4cOxbNnzyAUCsW++FZYAyUX1FlbW0tst7a25uXFdmvWrMFvv/2Grl27YuTIkbC3twcA/Pnnn2jbti3H6SR5e3tj+fLluHDhApSVlUXbu3XrhmvXrnGYjBBSXWjkmhA5oqCgUOECHHws/mSNhoYGYmJi0KRJE66jVIosdjcRCAR4+/atWF/2J0+eoF69etDX1wcAREVFwdHRUTSFhCtqamq4e/cuzM3Noa6ujri4OFhYWODJkyewtrZGQUEBp/kIIVWP5lwTIkdiYmLEbhcVFSEmJgbr16/n3dxaWTVkyBBcunRJZoprWexuoqioKLHgkZmZmdjtfv36ITY2FhYWFjWYTJKWlhaysrJgbm4utj0mJobXXVkIId+ORq4JIQgNDcUvv/yCS5cucR1F5uXn52Po0KHQ09ODra2txIqHnp6eHCUrnyx1N6mssqPEXJo3bx6uXbuGo0ePomnTprhz5w6eP3+OMWPGYMyYMfDz8+M0HyGk6lFxTQjB48eP0apVK3z48IHrKDJv586dcHd3h6qqKho0aCA2DYdhGF62iisoKEB8fDxevHgh6m5Sim/dTSqLL8V1UVERxo0bh0OHDoFlWdSpUwcCgQA//PADgoODoaioyGk+QkjVo+KaEDny+UIxLMsiKysLixcvxsOHDxEbG8tNsFqkYcOG8PT0hLe3N+96REsja91NKosvxXWp5ORkxMTEQCgUonXr1rCysuI6EiGkmlBxTYgckXZBI8uyMDExwcGDB9GhQweOktUeOjo6uHnzpszMuba0tESfPn3g6+sLAwMDruNUGb4V1wBEH14quqiYECL7qLgmRI5ERkaK3VZQUICenh4sLS1Rpw5d31wVvLy8oKenh4ULF3IdpVJkrbtJZWloaPDigkYACAoKwoYNG/D48WMAgJWVFWbOnIlJkyZxnIwQUh3orykhcuTq1aswMDDAhAkTxLbv2rULOTk5mD9/PkfJag+BQIC1a9ciLCwMdnZ2Ehc0rl+/nqNk0slad5PK4su4kY+PDzZs2IDp06fDyckJAHDt2jV4eXnhyZMnWL58OccJCSFVjUauCZEjZmZmOHDggMT0j+vXr2PEiBFITU3lKFnt0a1bt3LvYxgGFy9erME0XyZr3U0+fvwIlmVRr149AMDTp09x4sQJ2NjYoHfv3hynk6Srq4stW7Zg5MiRYtsPHjyI6dOn4+XLlxwlI4RUFxq5JkSOZGdnw9DQUGK7np4esrKyOEhU+0RERHAd4ascOHAAYWFhUFVVxaVLlyS6m/CtuB4wYAAGDx4Md3d35OXloV27dlBSUsLLly+xfv16TJ06leuIYgQCARwdHSW2f/fddyguLuYgESGkuvH/UnZCSJUxMTFBVFSUxPaoqCiZ7mlMvt3PP/+MpUuX4s2bN3jy5AlSU1NFX3xsG3jnzh106tQJABASEgIDAwM8ffoUe/fulVhlkg9GjRqFbdu2SWzfvn07fvzxRw4SEUKqG41cEyJHJk2ahJkzZ6KoqAjdu3cHAISHh2PevHmYPXs2x+kIFwoLCzF8+HCZaBsIlExjUVdXBwCcP38egwcPhoKCAtq3b4+nT59ynK7ErFmzRP9mGAY7d+7E+fPn0b59ewBAdHQ00tPTMWbMGK4iEkKqEc25JkSOsCwLb29vbN68GYWFhQCAunXrYv78+fD19eU4HeGCrHU3sbOzw6RJkzBo0CC0bNkS586dg5OTE27fvg1XV1dkZ2dzHbHCefdl8XEOPiHkv6PimhA59P79eyQkJEBVVRVWVlZQUVHhOhLhiKenJ/bu3Qt7e3uZ6G4SEhKCH374AQKBAD169MD58+cBAKtWrcLly5dx9uxZjhMSQuQdFdeEECLHZK27CVByYW5WVhbs7e1F01lu3LgBDQ0NWFtbc5yOECLvqLgmhBBCqklBQQG2bNmCiIgIvHjxAkKhUOz+O3fucJSMEFJd6IJGQgghMuPDhw9YvXo1wsPDpRarfOtwMmHCBFy4cAFDhgxB27ZtaelzQuQAFdeEEEJkxqRJkxAZGYnRo0fD0NCQ98VqaGgozpw5A2dnZ66jEEJqCBXXhBBCZMbZs2cRGhoqM8WqsbGxqHUgIUQ+yEZjU0IIIQSAtrY2dHR0uI5Raf7+/pg/fz5venATQqofFdeEEEJkxrJly+Dr64v8/Hyuo1SKo6MjCgoKYGFhAXV1dejo6Ih9EUJqH5oWQgghhNdat24tNrc6KSkJBgYGMDMzk+jLzbfuGyNHjkRmZiZWrlwJAwMD3s8RJ4T8d1RcE0II4bWBAwdyHeGbXb16FdeuXYO9vT3XUQghNYSKa0IIIbzm5+fHdYRvZm1tjY8fP3IdgxBSg2jONSGEEJlhYWGB3Nxcie15eXmwsLDgIFHFVq9ejdmzZ+PSpUvIzc3F27dvxb4IIbUPrdBICCFEZigoKCA7Oxv6+vpi258/fw4TExMUFhZylEy60uXZP59rzbIsGIaBQCDgIhYhpBrRtBBCCCG89+eff4r+HRYWBk1NTdFtgUCA8PBwmJubcxGtQhEREVxHIITUMBq5JoQQwntlR4A//7OlpKQEMzMz+Pv7o3///lzEI4QQESquCSGEyAxzc3PcvHkTurq6XEeplMuXL1d4f+fOnWsoCSGkplBxTQghhFST0hH3ssrOv6Y514TUPjTnmhBCiEwJDw9HeHg4Xrx4AaFQKHbfrl27OEol3evXr8VuFxUVISYmBj4+PlixYgVHqQgh1YmKa0IIITJjyZIlWLp0KRwdHWFoaMj7FQ/LXnhZqlevXlBRUYGXlxdu377NQSpCSHWiaSGEEEJkhqGhIdauXYvRo0dzHeU/SUhIQJs2bfD+/XuuoxBCqhiNXBNCCJEZhYWF6NChA9cxKi0+Pl7sNsuyyMrKwurVq2lJdEJqKRq5JoQQIjPmz58PNTU1+Pj4cB2lUhQUFKS2D2zfvj127doFa2trjpIRQqoLjVwTQgiRGQUFBdi+fTv++usv2NnZQUlJSez+9evXc5RMutTUVLHbCgoK0NPTQ926dTlKRAipbjRyTQghRGZ069at3PsYhsHFixdrME3lyFJ3E0LIf0cj14QQQmSGrC0nLmvdTQgh/x2NXBNCCJFJGRkZYBgGxsbGXEcpV23pbkIIqTzJpaMIIYQQnhIKhVi6dCk0NTVhamqKxo0bQ0tLC8uWLZOYcsEHstbdhBDy31FxTQghRGYsWrQIAQEBWL16NWJiYnDnzh2sXLkSW7Zs4WUHkUmTJuHAgQNcxyCE1CCaFkIIIURmGBkZITAwEG5ubmLbT548CQ8PD2RmZnKUTLoZM2Zg7969sLOzk4nuJoSQ/44uaCSEECIzXr16JbU3tLW1NV69esVBoorFx8ejVatWAIB79+6J3UcXNxJSO9HINSGEEJnRrl07tGvXDps3bxbbPn36dNy8eRPR0dEcJSOEkBJUXBNCCJEZkZGRcHV1RePGjeHk5ASGYXD16lWkpaXh7Nmz6NSpE9cRCSFyjoprQgghMiUzMxPbtm1DQkICWJaFjY0NPDw8YGRkxHU0Qgih4poQQohsKSgoQHx8vNQVDz+/0JEQQmoaXdBICCFEZpw7dw5jxoxBbm4uPh8bYhgGAoGAo2SEEFKC+lwTQgiRGdOmTcPQoUPx7NkzCIVCsS8qrAkhfEDTQgghhMgMDQ0NxMTEoEmTJlxHIYQQqWjkmhBCiMwYMmQILl26xHUMQggpF41cE0IIkRn5+fkYOnQo9PT0YGtrK7HioaenJ0fJCCGkBBXXhBBCZMbOnTvh7u4OVVVVNGjQQGyVQ4ZhkJKSwmE6Qgih4poQQogMadiwITw9PeHt7Q0FBZrZSAjhH/rNRAghRGYUFhZi+PDhVFgTQniLfjsRQgiRGWPHjsXhw4e5jkEIIeWiRWQIIYTIDIFAgLVr1yIsLAx2dnYSFzSuX7+eo2SEEFKC5lwTQgiRGd26dSv3PoZhcPHixRpMQwghkqi4JoQQQgghpIrQnGtCCCGEEEKqCBXXhBBCCCGEVBEqrgkhhBBCCKkiVFwTQgghhBBSRai4JoQQQgghpIpQcU0IIYQQQkgVoeKaEEIIIYSQKkLFNSGEEEIIIVXk/wGFvUNCzet+6wAAAABJRU5ErkJggg==", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.heatmap(correlations_matrix, annot=True)\n", + "plt.show()\n", + "mask = np.zeros_like(correlations_matrix)\n", + "mask[np.triu_indices_from(mask)] = True # don't include if you think it will confuse the students right now\n", + "fig, ax = plt.subplots(figsize=(10, 8))\n", + "ax = sns.heatmap(correlations_matrix, mask=mask, annot=True)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "843c9015", + "metadata": {}, + "source": [ + "Drop one of the two features that show a high correlation between them (greater than 0.9). Write code for both the correlation matrix and for seaborn heatmap. If there is no pair of features that have a high correlation, then do not drop any features\n" + ] + }, + { + "cell_type": "markdown", + "id": "31575593", + "metadata": {}, + "source": [ + "There is no two features that show a high correlation between them (greater than 0.9)." + ] + }, + { + "cell_type": "markdown", + "id": "2db58a36", + "metadata": {}, + "source": [ + "# Lab | Customer Analysis Round 5" + ] + }, + { + "cell_type": "markdown", + "id": "c65853e0", + "metadata": {}, + "source": [ + "X-y split." + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "id": "56dbfc99", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "from sklearn import linear_model\n", + "from sklearn.metrics import mean_squared_error, r2_score, mean_absolute_error\n", + "\n", + "\n", + "\n", + "# These Libs are for stats\n", + "\n", + "import statsmodels.api as sm\n", + "from statsmodels.formula.api import ols" + ] + }, + { + "cell_type": "code", + "execution_count": 126, + "id": "4afb94ba", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
OLS Regression Results
Dep. Variable: total_claim_amount R-squared: 0.126
Model: OLS Adj. R-squared: 0.126
Method: Least Squares F-statistic: 1319.
Date: Thu, 04 Apr 2024 Prob (F-statistic): 7.00e-270
Time: 16:28:01 Log-Likelihood: -64148.
No. Observations: 9134 AIC: 1.283e+05
Df Residuals: 9132 BIC: 1.283e+05
Df Model: 1
Covariance Type: nonrobust
\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
coef std err t P>|t| [0.025 0.975]
const 562.0120 4.526 124.186 0.000 553.141 570.883
income -0.0034 9.35e-05 -36.318 0.000 -0.004 -0.003
\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
Omnibus: 3595.994 Durbin-Watson: 1.978
Prob(Omnibus): 0.000 Jarque-Bera (JB): 21912.715
Skew: 1.777 Prob(JB): 0.00
Kurtosis: 9.705 Cond. No. 7.71e+04


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 7.71e+04. This might indicate that there are
strong multicollinearity or other numerical problems." + ], + "text/latex": [ + "\\begin{center}\n", + "\\begin{tabular}{lclc}\n", + "\\toprule\n", + "\\textbf{Dep. Variable:} & total\\_claim\\_amount & \\textbf{ R-squared: } & 0.126 \\\\\n", + "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.126 \\\\\n", + "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 1319. \\\\\n", + "\\textbf{Date:} & Thu, 04 Apr 2024 & \\textbf{ Prob (F-statistic):} & 7.00e-270 \\\\\n", + "\\textbf{Time:} & 16:28:01 & \\textbf{ Log-Likelihood: } & -64148. \\\\\n", + "\\textbf{No. Observations:} & 9134 & \\textbf{ AIC: } & 1.283e+05 \\\\\n", + "\\textbf{Df Residuals:} & 9132 & \\textbf{ BIC: } & 1.283e+05 \\\\\n", + "\\textbf{Df Model:} & 1 & \\textbf{ } & \\\\\n", + "\\textbf{Covariance Type:} & nonrobust & \\textbf{ } & \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lcccccc}\n", + " & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]} \\\\\n", + "\\midrule\n", + "\\textbf{const} & 562.0120 & 4.526 & 124.186 & 0.000 & 553.141 & 570.883 \\\\\n", + "\\textbf{income} & -0.0034 & 9.35e-05 & -36.318 & 0.000 & -0.004 & -0.003 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lclc}\n", + "\\textbf{Omnibus:} & 3595.994 & \\textbf{ Durbin-Watson: } & 1.978 \\\\\n", + "\\textbf{Prob(Omnibus):} & 0.000 & \\textbf{ Jarque-Bera (JB): } & 21912.715 \\\\\n", + "\\textbf{Skew:} & 1.777 & \\textbf{ Prob(JB): } & 0.00 \\\\\n", + "\\textbf{Kurtosis:} & 9.705 & \\textbf{ Cond. No. } & 7.71e+04 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "%\\caption{OLS Regression Results}\n", + "\\end{center}\n", + "\n", + "Notes: \\newline\n", + " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified. \\newline\n", + " [2] The condition number is large, 7.71e+04. This might indicate that there are \\newline\n", + " strong multicollinearity or other numerical problems." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: total_claim_amount R-squared: 0.126\n", + "Model: OLS Adj. R-squared: 0.126\n", + "Method: Least Squares F-statistic: 1319.\n", + "Date: Thu, 04 Apr 2024 Prob (F-statistic): 7.00e-270\n", + "Time: 16:28:01 Log-Likelihood: -64148.\n", + "No. Observations: 9134 AIC: 1.283e+05\n", + "Df Residuals: 9132 BIC: 1.283e+05\n", + "Df Model: 1 \n", + "Covariance Type: nonrobust \n", + "==============================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "------------------------------------------------------------------------------\n", + "const 562.0120 4.526 124.186 0.000 553.141 570.883\n", + "income -0.0034 9.35e-05 -36.318 0.000 -0.004 -0.003\n", + "==============================================================================\n", + "Omnibus: 3595.994 Durbin-Watson: 1.978\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 21912.715\n", + "Skew: 1.777 Prob(JB): 0.00\n", + "Kurtosis: 9.705 Cond. No. 7.71e+04\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "[2] The condition number is large, 7.71e+04. This might indicate that there are\n", + "strong multicollinearity or other numerical problems.\n", + "\"\"\"" + ] + }, + "execution_count": 126, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# let's start by doing some analytics\n", + "\n", + "\n", + "Y = df['total_claim_amount'] # dependent variable\n", + "X = df['income'] # independent variable\n", + "\n", + "\n", + "# The linear model has the Formula Y = ........\n", + "\n", + "\n", + "# intercecpt ro davamatot\n", + "\n", + "X = sm.add_constant(X)\n", + "\n", + "\n", + "model = sm.OLS(Y,X).fit()\n", + "\n", + "model.summary()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 131, + "id": "4d8f2f09", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "customer object\n", + "state object\n", + "customer_lifetime_value float64\n", + "response object\n", + "coverage object\n", + "education object\n", + "effective_to_date datetime64[ns]\n", + "employmentstatus object\n", + "gender object\n", + "income int64\n", + "location_code object\n", + "marital_status object\n", + "monthly_premium_auto int64\n", + "months_since_last_claim int64\n", + "months_since_policy_inception int64\n", + "number_of_open_complaints int64\n", + "number_of_policies int64\n", + "policy_type object\n", + "policy object\n", + "renew_offer_type object\n", + "sales_channel object\n", + "total_claim_amount float64\n", + "vehicle_class object\n", + "vehicle_size object\n", + "month int32\n", + "dtype: object" + ] + }, + "execution_count": 131, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 132, + "id": "a7a63e6c", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
OLS Regression Results
Dep. Variable: income R-squared: 0.199
Model: OLS Adj. R-squared: 0.198
Method: Least Squares F-statistic: 283.7
Date: Thu, 04 Apr 2024 Prob (F-statistic): 0.00
Time: 16:31:51 Log-Likelihood: -1.0622e+05
No. Observations: 9134 AIC: 2.125e+05
Df Residuals: 9125 BIC: 2.125e+05
Df Model: 8
Covariance Type: nonrobust
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coef std err t P>|t| [0.025 0.975]
const 3.685e+04 1392.397 26.466 0.000 3.41e+04 3.96e+04
customer_lifetime_value 0.0931 0.045 2.060 0.039 0.005 0.182
monthly_premium_auto 297.8888 11.336 26.279 0.000 275.668 320.109
months_since_last_claim -74.1487 28.289 -2.621 0.009 -129.601 -18.696
months_since_policy_inception -7.7687 10.212 -0.761 0.447 -27.787 12.249
number_of_open_complaints 119.2376 312.846 0.381 0.703 -494.010 732.485
number_of_policies -83.2903 119.150 -0.699 0.485 -316.852 150.271
total_claim_amount -59.9243 1.265 -47.367 0.000 -62.404 -57.444
month -0.9767 570.936 -0.002 0.999 -1120.139 1118.186
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Omnibus: 435.975 Durbin-Watson: 2.015
Prob(Omnibus): 0.000 Jarque-Bera (JB): 321.937
Skew: 0.363 Prob(JB): 1.24e-70
Kurtosis: 2.434 Cond. No. 5.34e+04


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 5.34e+04. This might indicate that there are
strong multicollinearity or other numerical problems." + ], + "text/latex": [ + "\\begin{center}\n", + "\\begin{tabular}{lclc}\n", + "\\toprule\n", + "\\textbf{Dep. Variable:} & income & \\textbf{ R-squared: } & 0.199 \\\\\n", + "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.198 \\\\\n", + "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 283.7 \\\\\n", + "\\textbf{Date:} & Thu, 04 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", + "\\textbf{Time:} & 16:31:51 & \\textbf{ Log-Likelihood: } & -1.0622e+05 \\\\\n", + "\\textbf{No. Observations:} & 9134 & \\textbf{ AIC: } & 2.125e+05 \\\\\n", + "\\textbf{Df Residuals:} & 9125 & \\textbf{ BIC: } & 2.125e+05 \\\\\n", + "\\textbf{Df Model:} & 8 & \\textbf{ } & \\\\\n", + "\\textbf{Covariance Type:} & nonrobust & \\textbf{ } & \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lcccccc}\n", + " & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]} \\\\\n", + "\\midrule\n", + "\\textbf{const} & 3.685e+04 & 1392.397 & 26.466 & 0.000 & 3.41e+04 & 3.96e+04 \\\\\n", + "\\textbf{customer\\_lifetime\\_value} & 0.0931 & 0.045 & 2.060 & 0.039 & 0.005 & 0.182 \\\\\n", + "\\textbf{monthly\\_premium\\_auto} & 297.8888 & 11.336 & 26.279 & 0.000 & 275.668 & 320.109 \\\\\n", + "\\textbf{months\\_since\\_last\\_claim} & -74.1487 & 28.289 & -2.621 & 0.009 & -129.601 & -18.696 \\\\\n", + "\\textbf{months\\_since\\_policy\\_inception} & -7.7687 & 10.212 & -0.761 & 0.447 & -27.787 & 12.249 \\\\\n", + "\\textbf{number\\_of\\_open\\_complaints} & 119.2376 & 312.846 & 0.381 & 0.703 & -494.010 & 732.485 \\\\\n", + "\\textbf{number\\_of\\_policies} & -83.2903 & 119.150 & -0.699 & 0.485 & -316.852 & 150.271 \\\\\n", + "\\textbf{total\\_claim\\_amount} & -59.9243 & 1.265 & -47.367 & 0.000 & -62.404 & -57.444 \\\\\n", + "\\textbf{month} & -0.9767 & 570.936 & -0.002 & 0.999 & -1120.139 & 1118.186 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lclc}\n", + "\\textbf{Omnibus:} & 435.975 & \\textbf{ Durbin-Watson: } & 2.015 \\\\\n", + "\\textbf{Prob(Omnibus):} & 0.000 & \\textbf{ Jarque-Bera (JB): } & 321.937 \\\\\n", + "\\textbf{Skew:} & 0.363 & \\textbf{ Prob(JB): } & 1.24e-70 \\\\\n", + "\\textbf{Kurtosis:} & 2.434 & \\textbf{ Cond. No. } & 5.34e+04 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "%\\caption{OLS Regression Results}\n", + "\\end{center}\n", + "\n", + "Notes: \\newline\n", + " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified. \\newline\n", + " [2] The condition number is large, 5.34e+04. This might indicate that there are \\newline\n", + " strong multicollinearity or other numerical problems." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: income R-squared: 0.199\n", + "Model: OLS Adj. R-squared: 0.198\n", + "Method: Least Squares F-statistic: 283.7\n", + "Date: Thu, 04 Apr 2024 Prob (F-statistic): 0.00\n", + "Time: 16:31:51 Log-Likelihood: -1.0622e+05\n", + "No. Observations: 9134 AIC: 2.125e+05\n", + "Df Residuals: 9125 BIC: 2.125e+05\n", + "Df Model: 8 \n", + "Covariance Type: nonrobust \n", + "=================================================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "-------------------------------------------------------------------------------------------------\n", + "const 3.685e+04 1392.397 26.466 0.000 3.41e+04 3.96e+04\n", + "customer_lifetime_value 0.0931 0.045 2.060 0.039 0.005 0.182\n", + "monthly_premium_auto 297.8888 11.336 26.279 0.000 275.668 320.109\n", + "months_since_last_claim -74.1487 28.289 -2.621 0.009 -129.601 -18.696\n", + "months_since_policy_inception -7.7687 10.212 -0.761 0.447 -27.787 12.249\n", + "number_of_open_complaints 119.2376 312.846 0.381 0.703 -494.010 732.485\n", + "number_of_policies -83.2903 119.150 -0.699 0.485 -316.852 150.271\n", + "total_claim_amount -59.9243 1.265 -47.367 0.000 -62.404 -57.444\n", + "month -0.9767 570.936 -0.002 0.999 -1120.139 1118.186\n", + "==============================================================================\n", + "Omnibus: 435.975 Durbin-Watson: 2.015\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 321.937\n", + "Skew: 0.363 Prob(JB): 1.24e-70\n", + "Kurtosis: 2.434 Cond. No. 5.34e+04\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "[2] The condition number is large, 5.34e+04. This might indicate that there are\n", + "strong multicollinearity or other numerical problems.\n", + "\"\"\"" + ] + }, + "execution_count": 132, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# big regression\n", + "\n", + "\n", + "Y = df['income']\n", + "X = numerical.drop(['income'], axis = 1)\n", + "\n", + "X = sm.add_constant(X)\n", + "\n", + "\n", + "model = sm.OLS(Y,X).fit()\n", + "\n", + "model.summary()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8ce2bbb4", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/.ipynb_checkpoints/[lab-customer-analysis-round-5]Anna Javashvili-checkpoint.ipynb b/.ipynb_checkpoints/[lab-customer-analysis-round-5]Anna Javashvili-checkpoint.ipynb new file mode 100644 index 0000000..d459da3 --- /dev/null +++ b/.ipynb_checkpoints/[lab-customer-analysis-round-5]Anna Javashvili-checkpoint.ipynb @@ -0,0 +1,6651 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 129, + "id": "2d3d2dc7", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np \n", + "\n", + "\n", + "\n", + "# this is not to show warnings\n", + "\n", + "import warnings\n", + "warnings.filterwarnings('ignore')\n", + "\n", + "\n", + "# this it the most common viz library in python\n", + "\n", + "import matplotlib.pyplot as plt\n", + "\n", + "\n", + "\n", + "# this one is the above on steroids\n", + "\n", + "\n", + "import seaborn as sns\n", + "\n", + "\n", + "df = pd.read_csv(r'C:\\Users\\User\\Desktop\\iRonhack\\Classes at Iron\\Week 3\\Day 3\\Lab week 3 day 3 - round 7\\lab-customer-analysis-round-7\\files_for_lab\\csv_files\\marketing_customer_analysis.csv')\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "f2238180", + "metadata": {}, + "source": [ + "# Show the dataframe shape." + ] + }, + { + "cell_type": "code", + "execution_count": 130, + "id": "11ff79a0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(9134, 24)" + ] + }, + "execution_count": 130, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.shape" + ] + }, + { + "cell_type": "markdown", + "id": "9ebff9b1", + "metadata": {}, + "source": [ + "# Standardize header names." + ] + }, + { + "cell_type": "code", + "execution_count": 131, + "id": "5f3e63cf", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CustomerStateCustomer Lifetime ValueResponseCoverageEducationEffective To DateEmploymentStatusGenderIncome...Months Since Policy InceptionNumber of Open ComplaintsNumber of PoliciesPolicy TypePolicyRenew Offer TypeSales ChannelTotal Claim AmountVehicle ClassVehicle Size
0BU79786Washington2763.519279NoBasicBachelor2/24/11EmployedF56274...501Corporate AutoCorporate L3Offer1Agent384.811147Two-Door CarMedsize
1QZ44356Arizona6979.535903NoExtendedBachelor1/31/11UnemployedF0...4208Personal AutoPersonal L3Offer3Agent1131.464935Four-Door CarMedsize
2AI49188Nevada12887.431650NoPremiumBachelor2/19/11EmployedF48767...3802Personal AutoPersonal L3Offer1Agent566.472247Two-Door CarMedsize
3WW63253California7645.861827NoBasicBachelor1/20/11UnemployedM0...6507Corporate AutoCorporate L2Offer1Call Center529.881344SUVMedsize
4HB64268Washington2813.692575NoBasicBachelor2/3/11EmployedM43836...4401Personal AutoPersonal L1Offer1Agent138.130879Four-Door CarMedsize
..................................................................
9129LA72316California23405.987980NoBasicBachelor2/10/11EmployedM71941...8902Personal AutoPersonal L1Offer2Web198.234764Four-Door CarMedsize
9130PK87824California3096.511217YesExtendedCollege2/12/11EmployedF21604...2801Corporate AutoCorporate L3Offer1Branch379.200000Four-Door CarMedsize
9131TD14365California8163.890428NoExtendedBachelor2/6/11UnemployedM0...3732Corporate AutoCorporate L2Offer1Branch790.784983Four-Door CarMedsize
9132UP19263California7524.442436NoExtendedCollege2/3/11EmployedM21941...303Personal AutoPersonal L2Offer3Branch691.200000Four-Door CarLarge
9133Y167826California2611.836866NoExtendedCollege2/14/11UnemployedM0...9001Corporate AutoCorporate L3Offer4Call Center369.600000Two-Door CarMedsize
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9134 rows × 24 columns

\n", + "
" + ], + "text/plain": [ + " Customer State Customer Lifetime Value Response Coverage \\\n", + "0 BU79786 Washington 2763.519279 No Basic \n", + "1 QZ44356 Arizona 6979.535903 No Extended \n", + "2 AI49188 Nevada 12887.431650 No Premium \n", + "3 WW63253 California 7645.861827 No Basic \n", + "4 HB64268 Washington 2813.692575 No Basic \n", + "... ... ... ... ... ... \n", + "9129 LA72316 California 23405.987980 No Basic \n", + "9130 PK87824 California 3096.511217 Yes Extended \n", + "9131 TD14365 California 8163.890428 No Extended \n", + "9132 UP19263 California 7524.442436 No Extended \n", + "9133 Y167826 California 2611.836866 No Extended \n", + "\n", + " Education Effective To Date EmploymentStatus Gender Income ... \\\n", + "0 Bachelor 2/24/11 Employed F 56274 ... \n", + "1 Bachelor 1/31/11 Unemployed F 0 ... \n", + "2 Bachelor 2/19/11 Employed F 48767 ... \n", + "3 Bachelor 1/20/11 Unemployed M 0 ... \n", + "4 Bachelor 2/3/11 Employed M 43836 ... \n", + "... ... ... ... ... ... ... \n", + "9129 Bachelor 2/10/11 Employed M 71941 ... \n", + "9130 College 2/12/11 Employed F 21604 ... \n", + "9131 Bachelor 2/6/11 Unemployed M 0 ... \n", + "9132 College 2/3/11 Employed M 21941 ... \n", + "9133 College 2/14/11 Unemployed M 0 ... \n", + "\n", + " Months Since Policy Inception Number of Open Complaints \\\n", + "0 5 0 \n", + "1 42 0 \n", + "2 38 0 \n", + "3 65 0 \n", + "4 44 0 \n", + "... ... ... \n", + "9129 89 0 \n", + "9130 28 0 \n", + "9131 37 3 \n", + "9132 3 0 \n", + "9133 90 0 \n", + "\n", + " Number of Policies Policy Type Policy Renew Offer Type \\\n", + "0 1 Corporate Auto Corporate L3 Offer1 \n", + "1 8 Personal Auto Personal L3 Offer3 \n", + "2 2 Personal Auto Personal L3 Offer1 \n", + "3 7 Corporate Auto Corporate L2 Offer1 \n", + "4 1 Personal Auto Personal L1 Offer1 \n", + "... ... ... ... ... \n", + "9129 2 Personal Auto Personal L1 Offer2 \n", + "9130 1 Corporate Auto Corporate L3 Offer1 \n", + "9131 2 Corporate Auto Corporate L2 Offer1 \n", + "9132 3 Personal Auto Personal L2 Offer3 \n", + "9133 1 Corporate Auto Corporate L3 Offer4 \n", + "\n", + " Sales Channel Total Claim Amount Vehicle Class Vehicle Size \n", + "0 Agent 384.811147 Two-Door Car Medsize \n", + "1 Agent 1131.464935 Four-Door Car Medsize \n", + "2 Agent 566.472247 Two-Door Car Medsize \n", + "3 Call Center 529.881344 SUV Medsize \n", + "4 Agent 138.130879 Four-Door Car Medsize \n", + "... ... ... ... ... \n", + "9129 Web 198.234764 Four-Door Car Medsize \n", + "9130 Branch 379.200000 Four-Door Car Medsize \n", + "9131 Branch 790.784983 Four-Door Car Medsize \n", + "9132 Branch 691.200000 Four-Door Car Large \n", + "9133 Call Center 369.600000 Two-Door Car Medsize \n", + "\n", + "[9134 rows x 24 columns]" + ] + }, + "execution_count": 131, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 132, + "id": "5111f911", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['customer', 'state', 'customer_lifetime_value', 'response', 'coverage',\n", + " 'education', 'effective_to_date', 'employmentstatus', 'gender',\n", + " 'income', 'location_code', 'marital_status', 'monthly_premium_auto',\n", + " 'months_since_last_claim', 'months_since_policy_inception',\n", + " 'number_of_open_complaints', 'number_of_policies', 'policy_type',\n", + " 'policy', 'renew_offer_type', 'sales_channel', 'total_claim_amount',\n", + " 'vehicle_class', 'vehicle_size'],\n", + " dtype='object')" + ] + }, + "execution_count": 132, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cols = []\n", + "\n", + "for i in range(len(df.columns)):\n", + " cols.append(df.columns[i].lower().replace(' ', '_'))\n", + "cols\n", + "\n", + "df.columns = cols\n", + "df.columns" + ] + }, + { + "cell_type": "markdown", + "id": "e8255c20", + "metadata": {}, + "source": [ + "# Which columns are numerical?" + ] + }, + { + "cell_type": "code", + "execution_count": 133, + "id": "abe0ceba", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "customer object\n", + "state object\n", + "customer_lifetime_value float64\n", + "response object\n", + "coverage object\n", + "education object\n", + "effective_to_date object\n", + "employmentstatus object\n", + "gender object\n", + "income int64\n", + "location_code object\n", + "marital_status object\n", + "monthly_premium_auto int64\n", + "months_since_last_claim int64\n", + "months_since_policy_inception int64\n", + "number_of_open_complaints int64\n", + "number_of_policies int64\n", + "policy_type object\n", + "policy object\n", + "renew_offer_type object\n", + "sales_channel object\n", + "total_claim_amount float64\n", + "vehicle_class object\n", + "vehicle_size object\n", + "dtype: object" + ] + }, + "execution_count": 133, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.dtypes\n", + "\n", + "#numerical - floats and int" + ] + }, + { + "cell_type": "code", + "execution_count": 134, + "id": "bcf0b843", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "customer object\n", + "state object\n", + "customer_lifetime_value float64\n", + "response object\n", + "coverage object\n", + "education object\n", + "effective_to_date object\n", + "employmentstatus object\n", + "gender object\n", + "income int64\n", + "location_code object\n", + "marital_status object\n", + "monthly_premium_auto int64\n", + "months_since_last_claim int64\n", + "months_since_policy_inception int64\n", + "number_of_open_complaints int64\n", + "number_of_policies int64\n", + "policy_type object\n", + "policy object\n", + "renew_offer_type object\n", + "sales_channel object\n", + "total_claim_amount float64\n", + "vehicle_class object\n", + "vehicle_size object\n", + "dtype: object" + ] + }, + "execution_count": 134, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.dtypes\n", + "\n", + "#categorical objects" + ] + }, + { + "cell_type": "markdown", + "id": "8b01a9b1", + "metadata": {}, + "source": [ + "# Check and deal with NaN values.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 135, + "id": "6fb93c76", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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customerstatecustomer_lifetime_valueresponsecoverageeducationeffective_to_dateemploymentstatusgenderincome...months_since_policy_inceptionnumber_of_open_complaintsnumber_of_policiespolicy_typepolicyrenew_offer_typesales_channeltotal_claim_amountvehicle_classvehicle_size
0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse...FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse
1FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse...FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse
2FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse...FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse
3FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse...FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse
4FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse...FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse
..................................................................
9129FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse...FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse
9130FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse...FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse
9131FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse...FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse
9132FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse...FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse
9133FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse...FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse
\n", + "

9134 rows × 24 columns

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" + ], + "text/plain": [ + " customer state customer_lifetime_value response coverage education \\\n", + "0 False False False False False False \n", + "1 False False False False False False \n", + "2 False False False False False False \n", + "3 False False False False False False \n", + "4 False False False False False False \n", + "... ... ... ... ... ... ... \n", + "9129 False False False False False False \n", + "9130 False False False False False False \n", + "9131 False False False False False False \n", + "9132 False False False False False False \n", + "9133 False False False False False False \n", + "\n", + " effective_to_date employmentstatus gender income ... \\\n", + "0 False False False False ... \n", + "1 False False False False ... \n", + "2 False False False False ... \n", + "3 False False False False ... \n", + "4 False False False False ... \n", + "... ... ... ... ... ... \n", + "9129 False False False False ... \n", + "9130 False False False False ... \n", + "9131 False False False False ... \n", + "9132 False False False False ... \n", + "9133 False False False False ... \n", + "\n", + " months_since_policy_inception number_of_open_complaints \\\n", + "0 False False \n", + "1 False False \n", + "2 False False \n", + "3 False False \n", + "4 False False \n", + "... ... ... \n", + "9129 False False \n", + "9130 False False \n", + "9131 False False \n", + "9132 False False \n", + "9133 False False \n", + "\n", + " number_of_policies policy_type policy renew_offer_type \\\n", + "0 False False False False \n", + "1 False False False False \n", + "2 False False False False \n", + "3 False False False False \n", + "4 False False False False \n", + "... ... ... ... ... \n", + "9129 False False False False \n", + "9130 False False False False \n", + "9131 False False False False \n", + "9132 False False False False \n", + "9133 False False False False \n", + "\n", + " sales_channel total_claim_amount vehicle_class vehicle_size \n", + "0 False False False False \n", + "1 False False False False \n", + "2 False False False False \n", + "3 False False False False \n", + "4 False False False False \n", + "... ... ... ... ... \n", + "9129 False False False False \n", + "9130 False False False False \n", + "9131 False False False False \n", + "9132 False False False False \n", + "9133 False False False False \n", + "\n", + "[9134 rows x 24 columns]" + ] + }, + "execution_count": 135, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.isna()" + ] + }, + { + "cell_type": "code", + "execution_count": 136, + "id": "0c022a04", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "customer 0\n", + "state 0\n", + "customer_lifetime_value 0\n", + "response 0\n", + "coverage 0\n", + "education 0\n", + "effective_to_date 0\n", + "employmentstatus 0\n", + "gender 0\n", + "income 0\n", + "location_code 0\n", + "marital_status 0\n", + "monthly_premium_auto 0\n", + "months_since_last_claim 0\n", + "months_since_policy_inception 0\n", + "number_of_open_complaints 0\n", + "number_of_policies 0\n", + "policy_type 0\n", + "policy 0\n", + "renew_offer_type 0\n", + "sales_channel 0\n", + "total_claim_amount 0\n", + "vehicle_class 0\n", + "vehicle_size 0\n", + "dtype: int64" + ] + }, + "execution_count": 136, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.isna().sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 137, + "id": "587394ca", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "customer 0.0\n", + "state 0.0\n", + "customer_lifetime_value 0.0\n", + "response 0.0\n", + "coverage 0.0\n", + "education 0.0\n", + "effective_to_date 0.0\n", + "employmentstatus 0.0\n", + "gender 0.0\n", + "income 0.0\n", + "location_code 0.0\n", + "marital_status 0.0\n", + "monthly_premium_auto 0.0\n", + "months_since_last_claim 0.0\n", + "months_since_policy_inception 0.0\n", + "number_of_open_complaints 0.0\n", + "number_of_policies 0.0\n", + "policy_type 0.0\n", + "policy 0.0\n", + "renew_offer_type 0.0\n", + "sales_channel 0.0\n", + "total_claim_amount 0.0\n", + "vehicle_class 0.0\n", + "vehicle_size 0.0\n", + "dtype: float64" + ] + }, + "execution_count": 137, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#percentage of missed data\n", + "\n", + "df.isna().sum() / len(df) * 100" + ] + }, + { + "cell_type": "code", + "execution_count": 138, + "id": "a0527e35", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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customer_lifetime_valueincomemonthly_premium_automonths_since_last_claimmonths_since_policy_inceptionnumber_of_open_complaintsnumber_of_policiestotal_claim_amount
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mean8004.94047537657.38000993.21929115.09700048.0645940.3843882.966170434.088794
std6870.96760830379.90473434.40796710.07325727.9059910.9103842.390182290.500092
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50%5780.18219733889.50000083.00000014.00000048.0000000.0000002.000000383.945434
75%8962.16704162320.000000109.00000023.00000071.0000000.0000004.000000547.514839
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" + ], + "text/plain": [ + " customer_lifetime_value income monthly_premium_auto \\\n", + "count 9134.000000 9134.000000 9134.000000 \n", + "mean 8004.940475 37657.380009 93.219291 \n", + "std 6870.967608 30379.904734 34.407967 \n", + "min 1898.007675 0.000000 61.000000 \n", + "25% 3994.251794 0.000000 68.000000 \n", + "50% 5780.182197 33889.500000 83.000000 \n", + "75% 8962.167041 62320.000000 109.000000 \n", + "max 83325.381190 99981.000000 298.000000 \n", + "\n", + " months_since_last_claim months_since_policy_inception \\\n", + "count 9134.000000 9134.000000 \n", + "mean 15.097000 48.064594 \n", + "std 10.073257 27.905991 \n", + "min 0.000000 0.000000 \n", + "25% 6.000000 24.000000 \n", + "50% 14.000000 48.000000 \n", + "75% 23.000000 71.000000 \n", + "max 35.000000 99.000000 \n", + "\n", + " number_of_open_complaints number_of_policies total_claim_amount \n", + "count 9134.000000 9134.000000 9134.000000 \n", + "mean 0.384388 2.966170 434.088794 \n", + "std 0.910384 2.390182 290.500092 \n", + "min 0.000000 1.000000 0.099007 \n", + "25% 0.000000 1.000000 272.258244 \n", + "50% 0.000000 2.000000 383.945434 \n", + "75% 0.000000 4.000000 547.514839 \n", + "max 5.000000 9.000000 2893.239678 " + ] + }, + "execution_count": 138, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 139, + "id": "b1c1f70c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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customerstatecustomer_lifetime_valueresponsecoverageeducationeffective_to_dateemploymentstatusgenderincome...months_since_policy_inceptionnumber_of_open_complaintsnumber_of_policiespolicy_typepolicyrenew_offer_typesales_channeltotal_claim_amountvehicle_classvehicle_size
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0 rows × 24 columns

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" + ], + "text/plain": [ + "Empty DataFrame\n", + "Columns: [customer, state, customer_lifetime_value, response, coverage, education, effective_to_date, employmentstatus, gender, income, location_code, marital_status, monthly_premium_auto, months_since_last_claim, months_since_policy_inception, number_of_open_complaints, number_of_policies, policy_type, policy, renew_offer_type, sales_channel, total_claim_amount, vehicle_class, vehicle_size]\n", + "Index: []\n", + "\n", + "[0 rows x 24 columns]" + ] + }, + "execution_count": 139, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# to see them\n", + "\n", + "null_data = df.isna().any(axis = 1)\n", + "df[null_data]" + ] + }, + { + "cell_type": "code", + "execution_count": 140, + "id": "9330668c", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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customerstatecustomer_lifetime_valueresponsecoverageeducationeffective_to_dateemploymentstatusgenderincome...months_since_policy_inceptionnumber_of_open_complaintsnumber_of_policiespolicy_typepolicyrenew_offer_typesales_channeltotal_claim_amountvehicle_classvehicle_size
0BU79786Washington2763.519279NoBasicBachelor2/24/11EmployedF56274...501Corporate AutoCorporate L3Offer1Agent384.811147Two-Door CarMedsize
1QZ44356Arizona6979.535903NoExtendedBachelor1/31/11UnemployedF0...4208Personal AutoPersonal L3Offer3Agent1131.464935Four-Door CarMedsize
2AI49188Nevada12887.431650NoPremiumBachelor2/19/11EmployedF48767...3802Personal AutoPersonal L3Offer1Agent566.472247Two-Door CarMedsize
3WW63253California7645.861827NoBasicBachelor1/20/11UnemployedM0...6507Corporate AutoCorporate L2Offer1Call Center529.881344SUVMedsize
4HB64268Washington2813.692575NoBasicBachelor2/3/11EmployedM43836...4401Personal AutoPersonal L1Offer1Agent138.130879Four-Door CarMedsize
..................................................................
9129LA72316California23405.987980NoBasicBachelor2/10/11EmployedM71941...8902Personal AutoPersonal L1Offer2Web198.234764Four-Door CarMedsize
9130PK87824California3096.511217YesExtendedCollege2/12/11EmployedF21604...2801Corporate AutoCorporate L3Offer1Branch379.200000Four-Door CarMedsize
9131TD14365California8163.890428NoExtendedBachelor2/6/11UnemployedM0...3732Corporate AutoCorporate L2Offer1Branch790.784983Four-Door CarMedsize
9132UP19263California7524.442436NoExtendedCollege2/3/11EmployedM21941...303Personal AutoPersonal L2Offer3Branch691.200000Four-Door CarLarge
9133Y167826California2611.836866NoExtendedCollege2/14/11UnemployedM0...9001Corporate AutoCorporate L3Offer4Call Center369.600000Two-Door CarMedsize
\n", + "

9134 rows × 24 columns

\n", + "
" + ], + "text/plain": [ + " customer state customer_lifetime_value response coverage \\\n", + "0 BU79786 Washington 2763.519279 No Basic \n", + "1 QZ44356 Arizona 6979.535903 No Extended \n", + "2 AI49188 Nevada 12887.431650 No Premium \n", + "3 WW63253 California 7645.861827 No Basic \n", + "4 HB64268 Washington 2813.692575 No Basic \n", + "... ... ... ... ... ... \n", + "9129 LA72316 California 23405.987980 No Basic \n", + "9130 PK87824 California 3096.511217 Yes Extended \n", + "9131 TD14365 California 8163.890428 No Extended \n", + "9132 UP19263 California 7524.442436 No Extended \n", + "9133 Y167826 California 2611.836866 No Extended \n", + "\n", + " education effective_to_date employmentstatus gender income ... \\\n", + "0 Bachelor 2/24/11 Employed F 56274 ... \n", + "1 Bachelor 1/31/11 Unemployed F 0 ... \n", + "2 Bachelor 2/19/11 Employed F 48767 ... \n", + "3 Bachelor 1/20/11 Unemployed M 0 ... \n", + "4 Bachelor 2/3/11 Employed M 43836 ... \n", + "... ... ... ... ... ... ... \n", + "9129 Bachelor 2/10/11 Employed M 71941 ... \n", + "9130 College 2/12/11 Employed F 21604 ... \n", + "9131 Bachelor 2/6/11 Unemployed M 0 ... \n", + "9132 College 2/3/11 Employed M 21941 ... \n", + "9133 College 2/14/11 Unemployed M 0 ... \n", + "\n", + " months_since_policy_inception number_of_open_complaints \\\n", + "0 5 0 \n", + "1 42 0 \n", + "2 38 0 \n", + "3 65 0 \n", + "4 44 0 \n", + "... ... ... \n", + "9129 89 0 \n", + "9130 28 0 \n", + "9131 37 3 \n", + "9132 3 0 \n", + "9133 90 0 \n", + "\n", + " number_of_policies policy_type policy renew_offer_type \\\n", + "0 1 Corporate Auto Corporate L3 Offer1 \n", + "1 8 Personal Auto Personal L3 Offer3 \n", + "2 2 Personal Auto Personal L3 Offer1 \n", + "3 7 Corporate Auto Corporate L2 Offer1 \n", + "4 1 Personal Auto Personal L1 Offer1 \n", + "... ... ... ... ... \n", + "9129 2 Personal Auto Personal L1 Offer2 \n", + "9130 1 Corporate Auto Corporate L3 Offer1 \n", + "9131 2 Corporate Auto Corporate L2 Offer1 \n", + "9132 3 Personal Auto Personal L2 Offer3 \n", + "9133 1 Corporate Auto Corporate L3 Offer4 \n", + "\n", + " sales_channel total_claim_amount vehicle_class vehicle_size \n", + "0 Agent 384.811147 Two-Door Car Medsize \n", + "1 Agent 1131.464935 Four-Door Car Medsize \n", + "2 Agent 566.472247 Two-Door Car Medsize \n", + "3 Call Center 529.881344 SUV Medsize \n", + "4 Agent 138.130879 Four-Door Car Medsize \n", + "... ... ... ... ... \n", + "9129 Web 198.234764 Four-Door Car Medsize \n", + "9130 Branch 379.200000 Four-Door Car Medsize \n", + "9131 Branch 790.784983 Four-Door Car Medsize \n", + "9132 Branch 691.200000 Four-Door Car Large \n", + "9133 Call Center 369.600000 Two-Door Car Medsize \n", + "\n", + "[9134 rows x 24 columns]" + ] + }, + "execution_count": 140, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# to drop them\n", + "\n", + "\n", + "df.dropna()" + ] + }, + { + "cell_type": "code", + "execution_count": 141, + "id": "a712ecac", + "metadata": {}, + "outputs": [], + "source": [ + "df_without_nan = df.dropna()" + ] + }, + { + "cell_type": "code", + "execution_count": 142, + "id": "39a4f1f3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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customerstatecustomer_lifetime_valueresponsecoverageeducationeffective_to_dateemploymentstatusgenderincome...months_since_policy_inceptionnumber_of_open_complaintsnumber_of_policiespolicy_typepolicyrenew_offer_typesales_channeltotal_claim_amountvehicle_classvehicle_size
0BU79786Washington2763.519279NoBasicBachelor2/24/11EmployedF56274...501Corporate AutoCorporate L3Offer1Agent384.811147Two-Door CarMedsize
1QZ44356Arizona6979.535903NoExtendedBachelor1/31/11UnemployedF0...4208Personal AutoPersonal L3Offer3Agent1131.464935Four-Door CarMedsize
2AI49188Nevada12887.431650NoPremiumBachelor2/19/11EmployedF48767...3802Personal AutoPersonal L3Offer1Agent566.472247Two-Door CarMedsize
3WW63253California7645.861827NoBasicBachelor1/20/11UnemployedM0...6507Corporate AutoCorporate L2Offer1Call Center529.881344SUVMedsize
4HB64268Washington2813.692575NoBasicBachelor2/3/11EmployedM43836...4401Personal AutoPersonal L1Offer1Agent138.130879Four-Door CarMedsize
..................................................................
9129LA72316California23405.987980NoBasicBachelor2/10/11EmployedM71941...8902Personal AutoPersonal L1Offer2Web198.234764Four-Door CarMedsize
9130PK87824California3096.511217YesExtendedCollege2/12/11EmployedF21604...2801Corporate AutoCorporate L3Offer1Branch379.200000Four-Door CarMedsize
9131TD14365California8163.890428NoExtendedBachelor2/6/11UnemployedM0...3732Corporate AutoCorporate L2Offer1Branch790.784983Four-Door CarMedsize
9132UP19263California7524.442436NoExtendedCollege2/3/11EmployedM21941...303Personal AutoPersonal L2Offer3Branch691.200000Four-Door CarLarge
9133Y167826California2611.836866NoExtendedCollege2/14/11UnemployedM0...9001Corporate AutoCorporate L3Offer4Call Center369.600000Two-Door CarMedsize
\n", + "

9134 rows × 24 columns

\n", + "
" + ], + "text/plain": [ + " customer state customer_lifetime_value response coverage \\\n", + "0 BU79786 Washington 2763.519279 No Basic \n", + "1 QZ44356 Arizona 6979.535903 No Extended \n", + "2 AI49188 Nevada 12887.431650 No Premium \n", + "3 WW63253 California 7645.861827 No Basic \n", + "4 HB64268 Washington 2813.692575 No Basic \n", + "... ... ... ... ... ... \n", + "9129 LA72316 California 23405.987980 No Basic \n", + "9130 PK87824 California 3096.511217 Yes Extended \n", + "9131 TD14365 California 8163.890428 No Extended \n", + "9132 UP19263 California 7524.442436 No Extended \n", + "9133 Y167826 California 2611.836866 No Extended \n", + "\n", + " education effective_to_date employmentstatus gender income ... \\\n", + "0 Bachelor 2/24/11 Employed F 56274 ... \n", + "1 Bachelor 1/31/11 Unemployed F 0 ... \n", + "2 Bachelor 2/19/11 Employed F 48767 ... \n", + "3 Bachelor 1/20/11 Unemployed M 0 ... \n", + "4 Bachelor 2/3/11 Employed M 43836 ... \n", + "... ... ... ... ... ... ... \n", + "9129 Bachelor 2/10/11 Employed M 71941 ... \n", + "9130 College 2/12/11 Employed F 21604 ... \n", + "9131 Bachelor 2/6/11 Unemployed M 0 ... \n", + "9132 College 2/3/11 Employed M 21941 ... \n", + "9133 College 2/14/11 Unemployed M 0 ... \n", + "\n", + " months_since_policy_inception number_of_open_complaints \\\n", + "0 5 0 \n", + "1 42 0 \n", + "2 38 0 \n", + "3 65 0 \n", + "4 44 0 \n", + "... ... ... \n", + "9129 89 0 \n", + "9130 28 0 \n", + "9131 37 3 \n", + "9132 3 0 \n", + "9133 90 0 \n", + "\n", + " number_of_policies policy_type policy renew_offer_type \\\n", + "0 1 Corporate Auto Corporate L3 Offer1 \n", + "1 8 Personal Auto Personal L3 Offer3 \n", + "2 2 Personal Auto Personal L3 Offer1 \n", + "3 7 Corporate Auto Corporate L2 Offer1 \n", + "4 1 Personal Auto Personal L1 Offer1 \n", + "... ... ... ... ... \n", + "9129 2 Personal Auto Personal L1 Offer2 \n", + "9130 1 Corporate Auto Corporate L3 Offer1 \n", + "9131 2 Corporate Auto Corporate L2 Offer1 \n", + "9132 3 Personal Auto Personal L2 Offer3 \n", + "9133 1 Corporate Auto Corporate L3 Offer4 \n", + "\n", + " sales_channel total_claim_amount vehicle_class vehicle_size \n", + "0 Agent 384.811147 Two-Door Car Medsize \n", + "1 Agent 1131.464935 Four-Door Car Medsize \n", + "2 Agent 566.472247 Two-Door Car Medsize \n", + "3 Call Center 529.881344 SUV Medsize \n", + "4 Agent 138.130879 Four-Door Car Medsize \n", + "... ... ... ... ... \n", + "9129 Web 198.234764 Four-Door Car Medsize \n", + "9130 Branch 379.200000 Four-Door Car Medsize \n", + "9131 Branch 790.784983 Four-Door Car Medsize \n", + "9132 Branch 691.200000 Four-Door Car Large \n", + "9133 Call Center 369.600000 Two-Door Car Medsize \n", + "\n", + "[9134 rows x 24 columns]" + ] + }, + "execution_count": 142, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_without_nan" + ] + }, + { + "cell_type": "markdown", + "id": "d404b98a", + "metadata": {}, + "source": [ + "# Datetime" + ] + }, + { + "cell_type": "code", + "execution_count": 143, + "id": "75f7ab21", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'\\n\\nDatetime format - Extract the months from the dataset and store in a separate column. \\nThen filter the data to show only the information for the first quarter , ie. January, February and March. \\nHint: If data from March does not exist, consider only January and February.\\n\\n'" + ] + }, + "execution_count": 143, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "'''\n", + "\n", + "Datetime format - Extract the months from the dataset and store in a separate column. \n", + "Then filter the data to show only the information for the first quarter , ie. January, February and March. \n", + "Hint: If data from March does not exist, consider only January and February.\n", + "\n", + "'''" + ] + }, + { + "cell_type": "code", + "execution_count": 144, + "id": "b6f97664", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "customer object\n", + "state object\n", + "customer_lifetime_value float64\n", + "response object\n", + "coverage object\n", + "education object\n", + "effective_to_date object\n", + "employmentstatus object\n", + "gender object\n", + "income int64\n", + "location_code object\n", + "marital_status object\n", + "monthly_premium_auto int64\n", + "months_since_last_claim int64\n", + "months_since_policy_inception int64\n", + "number_of_open_complaints int64\n", + "number_of_policies int64\n", + "policy_type object\n", + "policy object\n", + "renew_offer_type object\n", + "sales_channel object\n", + "total_claim_amount float64\n", + "vehicle_class object\n", + "vehicle_size object\n", + "dtype: object" + ] + }, + "execution_count": 144, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\n", + "\n", + "df.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 145, + "id": "02232c0d", + "metadata": {}, + "outputs": [], + "source": [ + "df['effective_to_date'] = pd.to_datetime(df['effective_to_date'])" + ] + }, + { + "cell_type": "code", + "execution_count": 146, + "id": "fa1562b0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "customer object\n", + "state object\n", + "customer_lifetime_value float64\n", + "response object\n", + "coverage object\n", + "education object\n", + "effective_to_date datetime64[ns]\n", + "employmentstatus object\n", + "gender object\n", + "income int64\n", + "location_code object\n", + "marital_status object\n", + "monthly_premium_auto int64\n", + "months_since_last_claim int64\n", + "months_since_policy_inception int64\n", + "number_of_open_complaints int64\n", + "number_of_policies int64\n", + "policy_type object\n", + "policy object\n", + "renew_offer_type object\n", + "sales_channel object\n", + "total_claim_amount float64\n", + "vehicle_class object\n", + "vehicle_size object\n", + "dtype: object" + ] + }, + "execution_count": 146, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 147, + "id": "e7f5ca32", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2011" + ] + }, + "execution_count": 147, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['effective_to_date'][0].year" + ] + }, + { + "cell_type": "code", + "execution_count": 148, + "id": "f9148d87", + "metadata": {}, + "outputs": [], + "source": [ + "df['month'] = df['effective_to_date'].dt.month\n" + ] + }, + { + "cell_type": "code", + "execution_count": 149, + "id": "050acd85", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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customerstatecustomer_lifetime_valueresponsecoverageeducationeffective_to_dateemploymentstatusgenderincome...number_of_open_complaintsnumber_of_policiespolicy_typepolicyrenew_offer_typesales_channeltotal_claim_amountvehicle_classvehicle_sizemonth
0BU79786Washington2763.519279NoBasicBachelor2011-02-24EmployedF56274...01Corporate AutoCorporate L3Offer1Agent384.811147Two-Door CarMedsize2
1QZ44356Arizona6979.535903NoExtendedBachelor2011-01-31UnemployedF0...08Personal AutoPersonal L3Offer3Agent1131.464935Four-Door CarMedsize1
2AI49188Nevada12887.431650NoPremiumBachelor2011-02-19EmployedF48767...02Personal AutoPersonal L3Offer1Agent566.472247Two-Door CarMedsize2
3WW63253California7645.861827NoBasicBachelor2011-01-20UnemployedM0...07Corporate AutoCorporate L2Offer1Call Center529.881344SUVMedsize1
4HB64268Washington2813.692575NoBasicBachelor2011-02-03EmployedM43836...01Personal AutoPersonal L1Offer1Agent138.130879Four-Door CarMedsize2
..................................................................
9129LA72316California23405.987980NoBasicBachelor2011-02-10EmployedM71941...02Personal AutoPersonal L1Offer2Web198.234764Four-Door CarMedsize2
9130PK87824California3096.511217YesExtendedCollege2011-02-12EmployedF21604...01Corporate AutoCorporate L3Offer1Branch379.200000Four-Door CarMedsize2
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9132UP19263California7524.442436NoExtendedCollege2011-02-03EmployedM21941...03Personal AutoPersonal L2Offer3Branch691.200000Four-Door CarLarge2
9133Y167826California2611.836866NoExtendedCollege2011-02-14UnemployedM0...01Corporate AutoCorporate L3Offer4Call Center369.600000Two-Door CarMedsize2
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0BU79786Washington2763.519279NoBasicBachelor2011-02-24EmployedF56274...01Corporate AutoCorporate L3Offer1Agent384.811147Two-Door CarMedsize2
1QZ44356Arizona6979.535903NoExtendedBachelor2011-01-31UnemployedF0...08Personal AutoPersonal L3Offer3Agent1131.464935Four-Door CarMedsize1
2AI49188Nevada12887.431650NoPremiumBachelor2011-02-19EmployedF48767...02Personal AutoPersonal L3Offer1Agent566.472247Two-Door CarMedsize2
3WW63253California7645.861827NoBasicBachelor2011-01-20UnemployedM0...07Corporate AutoCorporate L2Offer1Call Center529.881344SUVMedsize1
4HB64268Washington2813.692575NoBasicBachelor2011-02-03EmployedM43836...01Personal AutoPersonal L1Offer1Agent138.130879Four-Door CarMedsize2
..................................................................
9129LA72316California23405.987980NoBasicBachelor2011-02-10EmployedM71941...02Personal AutoPersonal L1Offer2Web198.234764Four-Door CarMedsize2
9130PK87824California3096.511217YesExtendedCollege2011-02-12EmployedF21604...01Corporate AutoCorporate L3Offer1Branch379.200000Four-Door CarMedsize2
9131TD14365California8163.890428NoExtendedBachelor2011-02-06UnemployedM0...32Corporate AutoCorporate L2Offer1Branch790.784983Four-Door CarMedsize2
9132UP19263California7524.442436NoExtendedCollege2011-02-03EmployedM21941...03Personal AutoPersonal L2Offer3Branch691.200000Four-Door CarLarge2
9133Y167826California2611.836866NoExtendedCollege2011-02-14UnemployedM0...01Corporate AutoCorporate L3Offer4Call Center369.600000Two-Door CarMedsize2
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9134 rows × 25 columns

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" + ], + "text/plain": [ + " customer state customer_lifetime_value response coverage \\\n", + "0 BU79786 Washington 2763.519279 No Basic \n", + "1 QZ44356 Arizona 6979.535903 No Extended \n", + "2 AI49188 Nevada 12887.431650 No Premium \n", + "3 WW63253 California 7645.861827 No Basic \n", + "4 HB64268 Washington 2813.692575 No Basic \n", + "... ... ... ... ... ... \n", + "9129 LA72316 California 23405.987980 No Basic \n", + "9130 PK87824 California 3096.511217 Yes Extended \n", + "9131 TD14365 California 8163.890428 No Extended \n", + "9132 UP19263 California 7524.442436 No Extended \n", + "9133 Y167826 California 2611.836866 No Extended \n", + "\n", + " education effective_to_date employmentstatus gender income ... \\\n", + "0 Bachelor 2011-02-24 Employed F 56274 ... \n", + "1 Bachelor 2011-01-31 Unemployed F 0 ... \n", + "2 Bachelor 2011-02-19 Employed F 48767 ... \n", + "3 Bachelor 2011-01-20 Unemployed M 0 ... \n", + "4 Bachelor 2011-02-03 Employed M 43836 ... \n", + "... ... ... ... ... ... ... \n", + "9129 Bachelor 2011-02-10 Employed M 71941 ... \n", + "9130 College 2011-02-12 Employed F 21604 ... \n", + "9131 Bachelor 2011-02-06 Unemployed M 0 ... \n", + "9132 College 2011-02-03 Employed M 21941 ... \n", + "9133 College 2011-02-14 Unemployed M 0 ... \n", + "\n", + " number_of_open_complaints number_of_policies policy_type \\\n", + "0 0 1 Corporate Auto \n", + "1 0 8 Personal Auto \n", + "2 0 2 Personal Auto \n", + "3 0 7 Corporate Auto \n", + "4 0 1 Personal Auto \n", + "... ... ... ... \n", + "9129 0 2 Personal Auto \n", + "9130 0 1 Corporate Auto \n", + "9131 3 2 Corporate Auto \n", + "9132 0 3 Personal Auto \n", + "9133 0 1 Corporate Auto \n", + "\n", + " policy renew_offer_type sales_channel total_claim_amount \\\n", + "0 Corporate L3 Offer1 Agent 384.811147 \n", + "1 Personal L3 Offer3 Agent 1131.464935 \n", + "2 Personal L3 Offer1 Agent 566.472247 \n", + "3 Corporate L2 Offer1 Call Center 529.881344 \n", + "4 Personal L1 Offer1 Agent 138.130879 \n", + "... ... ... ... ... \n", + "9129 Personal L1 Offer2 Web 198.234764 \n", + "9130 Corporate L3 Offer1 Branch 379.200000 \n", + "9131 Corporate L2 Offer1 Branch 790.784983 \n", + "9132 Personal L2 Offer3 Branch 691.200000 \n", + "9133 Corporate L3 Offer4 Call Center 369.600000 \n", + "\n", + " vehicle_class vehicle_size month \n", + "0 Two-Door Car Medsize 2 \n", + "1 Four-Door Car Medsize 1 \n", + "2 Two-Door Car Medsize 2 \n", + "3 SUV Medsize 1 \n", + "4 Four-Door Car Medsize 2 \n", + "... ... ... ... \n", + "9129 Four-Door Car Medsize 2 \n", + "9130 Four-Door Car Medsize 2 \n", + "9131 Four-Door Car Medsize 2 \n", + "9132 Four-Door Car Large 2 \n", + "9133 Two-Door Car Medsize 2 \n", + "\n", + "[9134 rows x 25 columns]" + ] + }, + "execution_count": 150, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#filter by months\n", + "\n", + "\n", + "condition = df['month'] <= 3\n", + "df[condition]" + ] + }, + { + "cell_type": "code", + "execution_count": 151, + "id": "77e0b4bd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([2, 1])" + ] + }, + "execution_count": 151, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.month.unique()" + ] + }, + { + "cell_type": "code", + "execution_count": 152, + "id": "97e0e509", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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customerstatecustomer_lifetime_valueresponsecoverageeducationeffective_to_dateemploymentstatusgenderincome...number_of_open_complaintsnumber_of_policiespolicy_typepolicyrenew_offer_typesales_channeltotal_claim_amountvehicle_classvehicle_sizemonth
1QZ44356Arizona6979.535903NoExtendedBachelor2011-01-31UnemployedF0...08Personal AutoPersonal L3Offer3Agent1131.464935Four-Door CarMedsize1
3WW63253California7645.861827NoBasicBachelor2011-01-20UnemployedM0...07Corporate AutoCorporate L2Offer1Call Center529.881344SUVMedsize1
5OC83172Oregon8256.297800YesBasicBachelor2011-01-25EmployedF62902...02Personal AutoPersonal L3Offer2Web159.383042Two-Door CarMedsize1
7CF85061Arizona7216.100311NoPremiumMaster2011-01-18UnemployedM0...04Corporate AutoCorporate L3Offer1Agent363.029680Four-Door CarMedsize1
8DY87989Oregon24127.504020YesBasicBachelor2011-01-26Medical LeaveM14072...02Corporate AutoCorporate L3Offer1Agent511.200000Four-Door CarMedsize1
..................................................................
9123WZ45103California5678.050167YesExtendedBachelor2011-01-19UnemployedF0...03Personal AutoPersonal L2Offer2Agent364.800000Four-Door CarSmall1
9124CB59349California16261.585500NoExtendedMaster2011-01-20EmployedM60646...02Personal AutoPersonal L3Offer2Agent643.200000SUVMedsize1
9125RX91025California19872.262000NoPremiumHigh School or Below2011-01-31UnemployedM0...02Personal AutoPersonal L3Offer1Agent1950.725547SUVSmall1
9126AC13887California4628.995325NoBasicBachelor2011-01-09UnemployedM0...04Corporate AutoCorporate L1Offer1Branch482.400000Two-Door CarMedsize1
9128YM19146California4100.398533NoPremiumCollege2011-01-06EmployedF47761...01Personal AutoPersonal L2Offer1Branch541.282007Four-Door CarLarge1
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4898 rows × 25 columns

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" + ], + "text/plain": [ + " customer state customer_lifetime_value response coverage \\\n", + "1 QZ44356 Arizona 6979.535903 No Extended \n", + "3 WW63253 California 7645.861827 No Basic \n", + "5 OC83172 Oregon 8256.297800 Yes Basic \n", + "7 CF85061 Arizona 7216.100311 No Premium \n", + "8 DY87989 Oregon 24127.504020 Yes Basic \n", + "... ... ... ... ... ... \n", + "9123 WZ45103 California 5678.050167 Yes Extended \n", + "9124 CB59349 California 16261.585500 No Extended \n", + "9125 RX91025 California 19872.262000 No Premium \n", + "9126 AC13887 California 4628.995325 No Basic \n", + "9128 YM19146 California 4100.398533 No Premium \n", + "\n", + " education effective_to_date employmentstatus gender income \\\n", + "1 Bachelor 2011-01-31 Unemployed F 0 \n", + "3 Bachelor 2011-01-20 Unemployed M 0 \n", + "5 Bachelor 2011-01-25 Employed F 62902 \n", + "7 Master 2011-01-18 Unemployed M 0 \n", + "8 Bachelor 2011-01-26 Medical Leave M 14072 \n", + "... ... ... ... ... ... \n", + "9123 Bachelor 2011-01-19 Unemployed F 0 \n", + "9124 Master 2011-01-20 Employed M 60646 \n", + "9125 High School or Below 2011-01-31 Unemployed M 0 \n", + "9126 Bachelor 2011-01-09 Unemployed M 0 \n", + "9128 College 2011-01-06 Employed F 47761 \n", + "\n", + " ... number_of_open_complaints number_of_policies policy_type \\\n", + "1 ... 0 8 Personal Auto \n", + "3 ... 0 7 Corporate Auto \n", + "5 ... 0 2 Personal Auto \n", + "7 ... 0 4 Corporate Auto \n", + "8 ... 0 2 Corporate Auto \n", + "... ... ... ... ... \n", + "9123 ... 0 3 Personal Auto \n", + "9124 ... 0 2 Personal Auto \n", + "9125 ... 0 2 Personal Auto \n", + "9126 ... 0 4 Corporate Auto \n", + "9128 ... 0 1 Personal Auto \n", + "\n", + " policy renew_offer_type sales_channel total_claim_amount \\\n", + "1 Personal L3 Offer3 Agent 1131.464935 \n", + "3 Corporate L2 Offer1 Call Center 529.881344 \n", + "5 Personal L3 Offer2 Web 159.383042 \n", + "7 Corporate L3 Offer1 Agent 363.029680 \n", + "8 Corporate L3 Offer1 Agent 511.200000 \n", + "... ... ... ... ... \n", + "9123 Personal L2 Offer2 Agent 364.800000 \n", + "9124 Personal L3 Offer2 Agent 643.200000 \n", + "9125 Personal L3 Offer1 Agent 1950.725547 \n", + "9126 Corporate L1 Offer1 Branch 482.400000 \n", + "9128 Personal L2 Offer1 Branch 541.282007 \n", + "\n", + " vehicle_class vehicle_size month \n", + "1 Four-Door Car Medsize 1 \n", + "3 SUV Medsize 1 \n", + "5 Two-Door Car Medsize 1 \n", + "7 Four-Door Car Medsize 1 \n", + "8 Four-Door Car Medsize 1 \n", + "... ... ... ... \n", + "9123 Four-Door Car Small 1 \n", + "9124 SUV Medsize 1 \n", + "9125 SUV Small 1 \n", + "9126 Two-Door Car Medsize 1 \n", + "9128 Four-Door Car Large 1 \n", + "\n", + "[4898 rows x 25 columns]" + ] + }, + "execution_count": 152, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "condition = df['month'] == 1\n", + "df_january = df[condition]\n", + "df_january" + ] + }, + { + "cell_type": "code", + "execution_count": 153, + "id": "1e732910", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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customerstatecustomer_lifetime_valueresponsecoverageeducationeffective_to_dateemploymentstatusgenderincome...number_of_open_complaintsnumber_of_policiespolicy_typepolicyrenew_offer_typesales_channeltotal_claim_amountvehicle_classvehicle_sizemonth
0BU79786Washington2763.519279NoBasicBachelor2011-02-24EmployedF56274...01Corporate AutoCorporate L3Offer1Agent384.811147Two-Door CarMedsize2
2AI49188Nevada12887.431650NoPremiumBachelor2011-02-19EmployedF48767...02Personal AutoPersonal L3Offer1Agent566.472247Two-Door CarMedsize2
4HB64268Washington2813.692575NoBasicBachelor2011-02-03EmployedM43836...01Personal AutoPersonal L1Offer1Agent138.130879Four-Door CarMedsize2
6XZ87318Oregon5380.898636YesBasicCollege2011-02-24EmployedF55350...09Corporate AutoCorporate L3Offer1Agent321.600000Four-Door CarMedsize2
9BQ94931Oregon7388.178085NoExtendedCollege2011-02-17EmployedF28812...08Special AutoSpecial L2Offer2Branch425.527834Four-Door CarMedsize2
..................................................................
9129LA72316California23405.987980NoBasicBachelor2011-02-10EmployedM71941...02Personal AutoPersonal L1Offer2Web198.234764Four-Door CarMedsize2
9130PK87824California3096.511217YesExtendedCollege2011-02-12EmployedF21604...01Corporate AutoCorporate L3Offer1Branch379.200000Four-Door CarMedsize2
9131TD14365California8163.890428NoExtendedBachelor2011-02-06UnemployedM0...32Corporate AutoCorporate L2Offer1Branch790.784983Four-Door CarMedsize2
9132UP19263California7524.442436NoExtendedCollege2011-02-03EmployedM21941...03Personal AutoPersonal L2Offer3Branch691.200000Four-Door CarLarge2
9133Y167826California2611.836866NoExtendedCollege2011-02-14UnemployedM0...01Corporate AutoCorporate L3Offer4Call Center369.600000Two-Door CarMedsize2
\n", + "

4236 rows × 25 columns

\n", + "
" + ], + "text/plain": [ + " customer state customer_lifetime_value response coverage \\\n", + "0 BU79786 Washington 2763.519279 No Basic \n", + "2 AI49188 Nevada 12887.431650 No Premium \n", + "4 HB64268 Washington 2813.692575 No Basic \n", + "6 XZ87318 Oregon 5380.898636 Yes Basic \n", + "9 BQ94931 Oregon 7388.178085 No Extended \n", + "... ... ... ... ... ... \n", + "9129 LA72316 California 23405.987980 No Basic \n", + "9130 PK87824 California 3096.511217 Yes Extended \n", + "9131 TD14365 California 8163.890428 No Extended \n", + "9132 UP19263 California 7524.442436 No Extended \n", + "9133 Y167826 California 2611.836866 No Extended \n", + "\n", + " education effective_to_date employmentstatus gender income ... \\\n", + "0 Bachelor 2011-02-24 Employed F 56274 ... \n", + "2 Bachelor 2011-02-19 Employed F 48767 ... \n", + "4 Bachelor 2011-02-03 Employed M 43836 ... \n", + "6 College 2011-02-24 Employed F 55350 ... \n", + "9 College 2011-02-17 Employed F 28812 ... \n", + "... ... ... ... ... ... ... \n", + "9129 Bachelor 2011-02-10 Employed M 71941 ... \n", + "9130 College 2011-02-12 Employed F 21604 ... \n", + "9131 Bachelor 2011-02-06 Unemployed M 0 ... \n", + "9132 College 2011-02-03 Employed M 21941 ... \n", + "9133 College 2011-02-14 Unemployed M 0 ... \n", + "\n", + " number_of_open_complaints number_of_policies policy_type \\\n", + "0 0 1 Corporate Auto \n", + "2 0 2 Personal Auto \n", + "4 0 1 Personal Auto \n", + "6 0 9 Corporate Auto \n", + "9 0 8 Special Auto \n", + "... ... ... ... \n", + "9129 0 2 Personal Auto \n", + "9130 0 1 Corporate Auto \n", + "9131 3 2 Corporate Auto \n", + "9132 0 3 Personal Auto \n", + "9133 0 1 Corporate Auto \n", + "\n", + " policy renew_offer_type sales_channel total_claim_amount \\\n", + "0 Corporate L3 Offer1 Agent 384.811147 \n", + "2 Personal L3 Offer1 Agent 566.472247 \n", + "4 Personal L1 Offer1 Agent 138.130879 \n", + "6 Corporate L3 Offer1 Agent 321.600000 \n", + "9 Special L2 Offer2 Branch 425.527834 \n", + "... ... ... ... ... \n", + "9129 Personal L1 Offer2 Web 198.234764 \n", + "9130 Corporate L3 Offer1 Branch 379.200000 \n", + "9131 Corporate L2 Offer1 Branch 790.784983 \n", + "9132 Personal L2 Offer3 Branch 691.200000 \n", + "9133 Corporate L3 Offer4 Call Center 369.600000 \n", + "\n", + " vehicle_class vehicle_size month \n", + "0 Two-Door Car Medsize 2 \n", + "2 Two-Door Car Medsize 2 \n", + "4 Four-Door Car Medsize 2 \n", + "6 Four-Door Car Medsize 2 \n", + "9 Four-Door Car Medsize 2 \n", + "... ... ... ... \n", + "9129 Four-Door Car Medsize 2 \n", + "9130 Four-Door Car Medsize 2 \n", + "9131 Four-Door Car Medsize 2 \n", + "9132 Four-Door Car Large 2 \n", + "9133 Two-Door Car Medsize 2 \n", + "\n", + "[4236 rows x 25 columns]" + ] + }, + "execution_count": 153, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "condition = df['month'] == 2\n", + "df_february = df[condition]\n", + "df_february" + ] + }, + { + "cell_type": "markdown", + "id": "47f5f63a", + "metadata": {}, + "source": [ + "# BONUS: Put all the previously mentioned data transformations into a function." + ] + }, + { + "cell_type": "code", + "execution_count": 154, + "id": "82f27cce", + "metadata": {}, + "outputs": [], + "source": [ + "#putting into the function\n", + "\n", + "def filtering(dataframe, month):\n", + " condition = dataframe['month'] == month\n", + " dataframe = dataframe[condition]\n", + " return dataframe\n", + " \n", + "new_df = filtering(df, 2)" + ] + }, + { + "cell_type": "code", + "execution_count": 155, + "id": "e4263fbb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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customerstatecustomer_lifetime_valueresponsecoverageeducationeffective_to_dateemploymentstatusgenderincome...number_of_open_complaintsnumber_of_policiespolicy_typepolicyrenew_offer_typesales_channeltotal_claim_amountvehicle_classvehicle_sizemonth
0BU79786Washington2763.519279NoBasicBachelor2011-02-24EmployedF56274...01Corporate AutoCorporate L3Offer1Agent384.811147Two-Door CarMedsize2
2AI49188Nevada12887.431650NoPremiumBachelor2011-02-19EmployedF48767...02Personal AutoPersonal L3Offer1Agent566.472247Two-Door CarMedsize2
4HB64268Washington2813.692575NoBasicBachelor2011-02-03EmployedM43836...01Personal AutoPersonal L1Offer1Agent138.130879Four-Door CarMedsize2
6XZ87318Oregon5380.898636YesBasicCollege2011-02-24EmployedF55350...09Corporate AutoCorporate L3Offer1Agent321.600000Four-Door CarMedsize2
9BQ94931Oregon7388.178085NoExtendedCollege2011-02-17EmployedF28812...08Special AutoSpecial L2Offer2Branch425.527834Four-Door CarMedsize2
..................................................................
9129LA72316California23405.987980NoBasicBachelor2011-02-10EmployedM71941...02Personal AutoPersonal L1Offer2Web198.234764Four-Door CarMedsize2
9130PK87824California3096.511217YesExtendedCollege2011-02-12EmployedF21604...01Corporate AutoCorporate L3Offer1Branch379.200000Four-Door CarMedsize2
9131TD14365California8163.890428NoExtendedBachelor2011-02-06UnemployedM0...32Corporate AutoCorporate L2Offer1Branch790.784983Four-Door CarMedsize2
9132UP19263California7524.442436NoExtendedCollege2011-02-03EmployedM21941...03Personal AutoPersonal L2Offer3Branch691.200000Four-Door CarLarge2
9133Y167826California2611.836866NoExtendedCollege2011-02-14UnemployedM0...01Corporate AutoCorporate L3Offer4Call Center369.600000Two-Door CarMedsize2
\n", + "

4236 rows × 25 columns

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" + ], + "text/plain": [ + " customer state customer_lifetime_value response coverage \\\n", + "0 BU79786 Washington 2763.519279 No Basic \n", + "2 AI49188 Nevada 12887.431650 No Premium \n", + "4 HB64268 Washington 2813.692575 No Basic \n", + "6 XZ87318 Oregon 5380.898636 Yes Basic \n", + "9 BQ94931 Oregon 7388.178085 No Extended \n", + "... ... ... ... ... ... \n", + "9129 LA72316 California 23405.987980 No Basic \n", + "9130 PK87824 California 3096.511217 Yes Extended \n", + "9131 TD14365 California 8163.890428 No Extended \n", + "9132 UP19263 California 7524.442436 No Extended \n", + "9133 Y167826 California 2611.836866 No Extended \n", + "\n", + " education effective_to_date employmentstatus gender income ... \\\n", + "0 Bachelor 2011-02-24 Employed F 56274 ... \n", + "2 Bachelor 2011-02-19 Employed F 48767 ... \n", + "4 Bachelor 2011-02-03 Employed M 43836 ... \n", + "6 College 2011-02-24 Employed F 55350 ... \n", + "9 College 2011-02-17 Employed F 28812 ... \n", + "... ... ... ... ... ... ... \n", + "9129 Bachelor 2011-02-10 Employed M 71941 ... \n", + "9130 College 2011-02-12 Employed F 21604 ... \n", + "9131 Bachelor 2011-02-06 Unemployed M 0 ... \n", + "9132 College 2011-02-03 Employed M 21941 ... \n", + "9133 College 2011-02-14 Unemployed M 0 ... \n", + "\n", + " number_of_open_complaints number_of_policies policy_type \\\n", + "0 0 1 Corporate Auto \n", + "2 0 2 Personal Auto \n", + "4 0 1 Personal Auto \n", + "6 0 9 Corporate Auto \n", + "9 0 8 Special Auto \n", + "... ... ... ... \n", + "9129 0 2 Personal Auto \n", + "9130 0 1 Corporate Auto \n", + "9131 3 2 Corporate Auto \n", + "9132 0 3 Personal Auto \n", + "9133 0 1 Corporate Auto \n", + "\n", + " policy renew_offer_type sales_channel total_claim_amount \\\n", + "0 Corporate L3 Offer1 Agent 384.811147 \n", + "2 Personal L3 Offer1 Agent 566.472247 \n", + "4 Personal L1 Offer1 Agent 138.130879 \n", + "6 Corporate L3 Offer1 Agent 321.600000 \n", + "9 Special L2 Offer2 Branch 425.527834 \n", + "... ... ... ... ... \n", + "9129 Personal L1 Offer2 Web 198.234764 \n", + "9130 Corporate L3 Offer1 Branch 379.200000 \n", + "9131 Corporate L2 Offer1 Branch 790.784983 \n", + "9132 Personal L2 Offer3 Branch 691.200000 \n", + "9133 Corporate L3 Offer4 Call Center 369.600000 \n", + "\n", + " vehicle_class vehicle_size month \n", + "0 Two-Door Car Medsize 2 \n", + "2 Two-Door Car Medsize 2 \n", + "4 Four-Door Car Medsize 2 \n", + "6 Four-Door Car Medsize 2 \n", + "9 Four-Door Car Medsize 2 \n", + "... ... ... ... \n", + "9129 Four-Door Car Medsize 2 \n", + "9130 Four-Door Car Medsize 2 \n", + "9131 Four-Door Car Medsize 2 \n", + "9132 Four-Door Car Large 2 \n", + "9133 Two-Door Car Medsize 2 \n", + "\n", + "[4236 rows x 25 columns]" + ] + }, + "execution_count": 155, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "new_df" + ] + }, + { + "cell_type": "markdown", + "id": "3116a23c", + "metadata": {}, + "source": [ + "# Lab | Customer Analysis Round 3\n" + ] + }, + { + "cell_type": "markdown", + "id": "1910649c", + "metadata": {}, + "source": [ + "Show DataFrame info." + ] + }, + { + "cell_type": "code", + "execution_count": 156, + "id": "fed7b063", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 9134 entries, 0 to 9133\n", + "Data columns (total 25 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 customer 9134 non-null object \n", + " 1 state 9134 non-null object \n", + " 2 customer_lifetime_value 9134 non-null float64 \n", + " 3 response 9134 non-null object \n", + " 4 coverage 9134 non-null object \n", + " 5 education 9134 non-null object \n", + " 6 effective_to_date 9134 non-null datetime64[ns]\n", + " 7 employmentstatus 9134 non-null object \n", + " 8 gender 9134 non-null object \n", + " 9 income 9134 non-null int64 \n", + " 10 location_code 9134 non-null object \n", + " 11 marital_status 9134 non-null object \n", + " 12 monthly_premium_auto 9134 non-null int64 \n", + " 13 months_since_last_claim 9134 non-null int64 \n", + " 14 months_since_policy_inception 9134 non-null int64 \n", + " 15 number_of_open_complaints 9134 non-null int64 \n", + " 16 number_of_policies 9134 non-null int64 \n", + " 17 policy_type 9134 non-null object \n", + " 18 policy 9134 non-null object \n", + " 19 renew_offer_type 9134 non-null object \n", + " 20 sales_channel 9134 non-null object \n", + " 21 total_claim_amount 9134 non-null float64 \n", + " 22 vehicle_class 9134 non-null object \n", + " 23 vehicle_size 9134 non-null object \n", + " 24 month 9134 non-null int32 \n", + "dtypes: datetime64[ns](1), float64(2), int32(1), int64(6), object(15)\n", + "memory usage: 1.7+ MB\n" + ] + } + ], + "source": [ + "df.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 157, + "id": "e7a1286e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(9134, 25)" + ] + }, + "execution_count": 157, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.shape" + ] + }, + { + "cell_type": "markdown", + "id": "0afda7cc", + "metadata": {}, + "source": [ + "Describe DataFrame." + ] + }, + { + "cell_type": "code", + "execution_count": 158, + "id": "73d5d8af", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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customer_lifetime_valueeffective_to_dateincomemonthly_premium_automonths_since_last_claimmonths_since_policy_inceptionnumber_of_open_complaintsnumber_of_policiestotal_claim_amountmonth
count9134.00000091349134.0000009134.0000009134.0000009134.0000009134.0000009134.0000009134.0000009134.000000
mean8004.9404752011-01-29 20:06:21.51959705637657.38000993.21929115.09700048.0645940.3843882.966170434.0887941.463762
min1898.0076752011-01-01 00:00:000.00000061.0000000.0000000.0000000.0000001.0000000.0990071.000000
25%3994.2517942011-01-15 00:00:000.00000068.0000006.00000024.0000000.0000001.000000272.2582441.000000
50%5780.1821972011-01-29 00:00:0033889.50000083.00000014.00000048.0000000.0000002.000000383.9454341.000000
75%8962.1670412011-02-13 00:00:0062320.000000109.00000023.00000071.0000000.0000004.000000547.5148392.000000
max83325.3811902011-02-28 00:00:0099981.000000298.00000035.00000099.0000005.0000009.0000002893.2396782.000000
std6870.967608NaN30379.90473434.40796710.07325727.9059910.9103842.390182290.5000920.498712
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" + ], + "text/plain": [ + " customer_lifetime_value effective_to_date income \\\n", + "count 9134.000000 9134 9134.000000 \n", + "mean 8004.940475 2011-01-29 20:06:21.519597056 37657.380009 \n", + "min 1898.007675 2011-01-01 00:00:00 0.000000 \n", + "25% 3994.251794 2011-01-15 00:00:00 0.000000 \n", + "50% 5780.182197 2011-01-29 00:00:00 33889.500000 \n", + "75% 8962.167041 2011-02-13 00:00:00 62320.000000 \n", + "max 83325.381190 2011-02-28 00:00:00 99981.000000 \n", + "std 6870.967608 NaN 30379.904734 \n", + "\n", + " monthly_premium_auto months_since_last_claim \\\n", + "count 9134.000000 9134.000000 \n", + "mean 93.219291 15.097000 \n", + "min 61.000000 0.000000 \n", + "25% 68.000000 6.000000 \n", + "50% 83.000000 14.000000 \n", + "75% 109.000000 23.000000 \n", + "max 298.000000 35.000000 \n", + "std 34.407967 10.073257 \n", + "\n", + " months_since_policy_inception number_of_open_complaints \\\n", + "count 9134.000000 9134.000000 \n", + "mean 48.064594 0.384388 \n", + "min 0.000000 0.000000 \n", + "25% 24.000000 0.000000 \n", + "50% 48.000000 0.000000 \n", + "75% 71.000000 0.000000 \n", + "max 99.000000 5.000000 \n", + "std 27.905991 0.910384 \n", + "\n", + " number_of_policies total_claim_amount month \n", + "count 9134.000000 9134.000000 9134.000000 \n", + "mean 2.966170 434.088794 1.463762 \n", + "min 1.000000 0.099007 1.000000 \n", + "25% 1.000000 272.258244 1.000000 \n", + "50% 2.000000 383.945434 1.000000 \n", + "75% 4.000000 547.514839 2.000000 \n", + "max 9.000000 2893.239678 2.000000 \n", + "std 2.390182 290.500092 0.498712 " + ] + }, + "execution_count": 158, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.describe()" + ] + }, + { + "cell_type": "markdown", + "id": "cd88bf89", + "metadata": {}, + "source": [ + "Show a plot of the total number of responses." + ] + }, + { + "cell_type": "code", + "execution_count": 159, + "id": "28f4006e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(df['response'])\n", + "\n", + "\n", + "plt.xlabel('Response')\n", + "plt.ylabel('Frequency')\n", + "plt.title('Number of Responses')\n", + "plt.show()\n", + "\n", + "\n", + "# to show how many people responded\n" + ] + }, + { + "cell_type": "code", + "execution_count": 160, + "id": "88e39883", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 160, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df['response'].value_counts().plot(kind='bar')" + ] + }, + { + "cell_type": "markdown", + "id": "fae6bb4b", + "metadata": {}, + "source": [ + "Show a plot of the response rate by the sales channel." + ] + }, + { + "cell_type": "code", + "execution_count": 161, + "id": "1e338675", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['Agent', 'Call Center', 'Web', 'Branch'], dtype=object)" + ] + }, + "execution_count": 161, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['sales_channel'].unique()" + ] + }, + { + "cell_type": "code", + "execution_count": 162, + "id": "595f1a36", + "metadata": {}, + "outputs": [], + "source": [ + "#sns.barplot(x = df['response'], y = df['sales_channel'], data = df, estimator = 'mean')\n", + "#plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 163, + "id": "11ba7b9b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "response\n", + "No 7826\n", + "Yes 1308\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 163, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['response'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 164, + "id": "5803975a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "sales_channel\n", + "Agent 3477\n", + "Branch 2567\n", + "Call Center 1765\n", + "Web 1325\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 164, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['sales_channel'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 165, + "id": "53e05337", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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CdNttt1m1I0eO1MSJExUcHKygoCBNmjRJ0dHR1lVnrVu3Vr9+/TRq1CgtWLBAkjR69GjFxcVxhRkAAPBsIJo/f74kqVu3bm7tr732mkaMGCEvLy9t27ZNS5YsUUFBgcLDw9W9e3etXLlSAQEBVv3s2bNVt25dDRkyRCUlJerZs6cWL14sLy8vq2b58uUaP368dTXawIEDNW/evAu/SAAAUOt5NBAZY87a7+vrqzVr1pxznPr162vu3LmaO3fuGWuCgoK0bNmy854jAAC4/NWKk6oBAAA8iUAEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsz6OBaPr06erUqZMCAgIUGhqqW2+9VTt37nSrMcYoMTFRERER8vX1Vbdu3fT111+71ZSWlmrcuHEKCQmRn5+fBg4cqAMHDrjV5OfnKz4+Xk6nU06nU/Hx8SooKLjQSwQAAJcAjwaitLQ0jR07VhkZGUpJSdGJEyfUp08fHT161KqZMWOGZs2apXnz5mnz5s1yuVzq3bu3jhw5YtUkJCQoKSlJK1as0Pr161VcXKy4uDiVl5dbNcOGDVNWVpaSk5OVnJysrKwsxcfHX9T1AgCA2slhjDGensRJhw4dUmhoqNLS0nTzzTfLGKOIiAglJCRoypQpkn49GhQWFqbnnntO9913nwoLC9WoUSMtXbpUQ4cOlST9+OOPioyM1OrVq9W3b19lZ2fr2muvVUZGhjp37ixJysjIUExMjHbs2KFWrVqdc25FRUVyOp0qLCxUYGBgldbT4R9LqvmdQE3LfP4eT08BwCUs7eZYT08B/yv2i7Tzqq/q3+9adQ5RYWGhJCkoKEiStHfvXuXm5qpPnz5WjY+Pj2JjY5Weni5JyszM1PHjx91qIiIi1KZNG6tmw4YNcjqdVhiSpC5dusjpdFo1pyotLVVRUZHbAwAAXJ6qFYh69Ohx2vNvioqK1KNHj2pNxBijCRMm6KabblKbNm0kSbm5uZKksLAwt9qwsDCrLzc3V/Xq1VPDhg3PWhMaGlppn6GhoVbNqaZPn26db+R0OhUZGVmtdQEAgNqvWoEoNTVVZWVlldqPHTumdevWVWsiDz74oLZu3ao333yzUp/D4XDbNsZUajvVqTWnqz/bOFOnTlVhYaH12L9/f1WWAQAALkF1z6d469at1tfffPON29GV8vJyJScn68orrzzvSYwbN07vv/++vvjiCzVu3Nhqd7lckn49whMeHm615+XlWUeNXC6XysrKlJ+f73aUKC8vT127drVqDh48WGm/hw4dqnT06SQfHx/5+Pic91oAAMCl57wC0fXXXy+HwyGHw3Hat8Z8fX01d+7cKo9njNG4ceOUlJSk1NRUNWvWzK2/WbNmcrlcSklJUfv27SVJZWVlSktL03PPPSdJ6tChg7y9vZWSkqIhQ4ZIknJycrR9+3bNmDFDkhQTE6PCwkJt2rRJN954oyRp48aNKiwstEITAACwr/MKRHv37pUxRldddZU2bdqkRo0aWX316tVTaGiovLy8qjze2LFj9cYbb+i9995TQECAdcTJ6XTK19dXDodDCQkJmjZtmlq0aKEWLVpo2rRpatCggYYNG2bVjhw5UhMnTlRwcLCCgoI0adIkRUdHq1evXpKk1q1bq1+/fho1apQWLFggSRo9erTi4uKqdIUZAAC4vJ1XIIqKipIkVVRU1MjO58+fL0nq1q2bW/trr72mESNGSJImT56skpISjRkzRvn5+ercubPWrl2rgIAAq3727NmqW7euhgwZopKSEvXs2VOLFy92C2fLly/X+PHjravRBg4cqHnz5tXIOgAAwKWt2vch+vbbb5Wamqq8vLxKAenxxx+vkcnVJtyH6NLGfYgA/B7ch6j2uFD3ITqvI0QnLVy4UA888IBCQkLkcrkqXc11OQYiAABw+apWIHr66af1zDPPWHePBgAAuJRV6z5E+fn5uuOOO2p6LgAAAB5RrUB0xx13aO3atTU9FwAAAI+o1ltmzZs312OPPaaMjAxFR0fL29vbrX/8+PE1MjkAAICLoVqB6JVXXpG/v7/S0tKUluZ+trfD4SAQAQCAS0q1AtHevXtreh4AAAAeU61ziAAAAC4n1TpCdO+99561/9VXX63WZAAAADyhWoEoPz/fbfv48ePavn27CgoKTvuhrwAAALVZtQJRUlJSpbaKigqNGTNGV1111e+eFAAAwMVUY+cQ1alTR3//+981e/bsmhoSAADgoqjRk6r37NmjEydO1OSQAAAAF1y13jKbMGGC27YxRjk5Ofroo480fPjwGpkYAADAxVKtQPTVV1+5bdepU0eNGjXSzJkzz3kFGgAAQG1TrUD0+eef1/Q8AAAAPKZageikQ4cOaefOnXI4HGrZsqUaNWpUU/MCAAC4aKoViI4ePapx48ZpyZIlqqiokCR5eXnpnnvu0dy5c9WgQYManSRwKfj+qWhPTwH/q8nj2zw9BQCXmGpdZTZhwgSlpaXpgw8+UEFBgQoKCvTee+8pLS1NEydOrOk5AgAAXFDVOkK0atUqvf322+rWrZvVNmDAAPn6+mrIkCGaP39+Tc0PAADggqvWEaJffvlFYWFhldpDQ0P1yy+//O5JAQAAXEzVCkQxMTF64okndOzYMautpKRETz75pGJiYmpscgAAABdDtd4ymzNnjvr376/GjRurXbt2cjgcysrKko+Pj9auXVvTcwQAALigqhWIoqOjtWvXLi1btkw7duyQMUZ33nmn7r77bvn6+tb0HAEAAC6oagWi6dOnKywsTKNGjXJrf/XVV3Xo0CFNmTKlRiYHAABwMVTrHKIFCxbommuuqdR+3XXX6eWXX/7dkwIAALiYqhWIcnNzFR4eXqm9UaNGysnJ+d2TAgAAuJiqFYgiIyP15ZdfVmr/8ssvFRER8bsnBQAAcDFV6xyiv/3tb0pISNDx48fVo0cPSdKnn36qyZMnc6dqAABwyalWIJo8ebJ+/vlnjRkzRmVlZZKk+vXra8qUKZo6dWqNThAAAOBCq1Ygcjgceu655/TYY48pOztbvr6+atGihXx8fGp6fgAAABdctQLRSf7+/urUqVNNzQUAAMAjqnVSNQAAwOWEQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGzPo4Hoiy++0C233KKIiAg5HA69++67bv0jRoyQw+Fwe3Tp0sWtprS0VOPGjVNISIj8/Pw0cOBAHThwwK0mPz9f8fHxcjqdcjqdio+PV0FBwQVeHQAAuFR4NBAdPXpU7dq107x5885Y069fP+Xk5FiP1atXu/UnJCQoKSlJK1as0Pr161VcXKy4uDiVl5dbNcOGDVNWVpaSk5OVnJysrKwsxcfHX7B1AQCAS8vvulP179W/f3/179//rDU+Pj5yuVyn7SssLNSiRYu0dOlS9erVS5K0bNkyRUZG6pNPPlHfvn2VnZ2t5ORkZWRkqHPnzpKkhQsXKiYmRjt37lSrVq1qdlEAAOCSU+vPIUpNTVVoaKhatmypUaNGKS8vz+rLzMzU8ePH1adPH6stIiJCbdq0UXp6uiRpw4YNcjqdVhiSpC5dusjpdFo1AADA3jx6hOhc+vfvrzvuuENRUVHau3evHnvsMfXo0UOZmZny8fFRbm6u6tWrp4YNG7o9LywsTLm5uZKk3NxchYaGVho7NDTUqjmd0tJSlZaWWttFRUU1tCoAAFDb1OpANHToUOvrNm3aqGPHjoqKitJHH32kwYMHn/F5xhg5HA5r+7dfn6nmVNOnT9eTTz5ZzZkDAIBLSa1/y+y3wsPDFRUVpV27dkmSXC6XysrKlJ+f71aXl5ensLAwq+bgwYOVxjp06JBVczpTp05VYWGh9di/f38NrgQAANQml1QgOnz4sPbv36/w8HBJUocOHeTt7a2UlBSrJicnR9u3b1fXrl0lSTExMSosLNSmTZusmo0bN6qwsNCqOR0fHx8FBga6PQAAwOXJo2+ZFRcXa/fu3db23r17lZWVpaCgIAUFBSkxMVG33367wsPDtW/fPj388MMKCQnRbbfdJklyOp0aOXKkJk6cqODgYAUFBWnSpEmKjo62rjpr3bq1+vXrp1GjRmnBggWSpNGjRysuLo4rzAAAgCQPB6ItW7aoe/fu1vaECRMkScOHD9f8+fO1bds2LVmyRAUFBQoPD1f37t21cuVKBQQEWM+ZPXu26tatqyFDhqikpEQ9e/bU4sWL5eXlZdUsX75c48ePt65GGzhw4FnvfQQAAOzFo4GoW7duMsacsX/NmjXnHKN+/fqaO3eu5s6de8aaoKAgLVu2rFpzBAAAl79L6hwiAACAC4FABAAAbI9ABAAAbI9ABAAAbI9ABAAAbI9ABAAAbI9ABAAAbI9ABAAAbI9ABAAAbI9ABAAAbI9ABAAAbM+jn2UGAJeqP8z9g6engP/15bgvPT0FXAY4QgQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGyPQAQAAGzPo4Hoiy++0C233KKIiAg5HA69++67bv3GGCUmJioiIkK+vr7q1q2bvv76a7ea0tJSjRs3TiEhIfLz89PAgQN14MABt5r8/HzFx8fL6XTK6XQqPj5eBQUFF3h1AADgUuHRQHT06FG1a9dO8+bNO23/jBkzNGvWLM2bN0+bN2+Wy+VS7969deTIEasmISFBSUlJWrFihdavX6/i4mLFxcWpvLzcqhk2bJiysrKUnJys5ORkZWVlKT4+/oKvDwAAXBrqenLn/fv3V//+/U/bZ4zRnDlz9Mgjj2jw4MGSpNdff11hYWF64403dN9996mwsFCLFi3S0qVL1atXL0nSsmXLFBkZqU8++UR9+/ZVdna2kpOTlZGRoc6dO0uSFi5cqJiYGO3cuVOtWrW6OIsFAAC1Vq09h2jv3r3Kzc1Vnz59rDYfHx/FxsYqPT1dkpSZmanjx4+71URERKhNmzZWzYYNG+R0Oq0wJEldunSR0+m0ak6ntLRURUVFbg8AAHB5qrWBKDc3V5IUFhbm1h4WFmb15ebmql69emrYsOFZa0JDQyuNHxoaatWczvTp061zjpxOpyIjI3/XegAAQO1VawPRSQ6Hw23bGFOp7VSn1pyu/lzjTJ06VYWFhdZj//795zlzAABwqai1gcjlcklSpaM4eXl51lEjl8ulsrIy5efnn7Xm4MGDlcY/dOhQpaNPv+Xj46PAwEC3BwAAuDzV2kDUrFkzuVwupaSkWG1lZWVKS0tT165dJUkdOnSQt7e3W01OTo62b99u1cTExKiwsFCbNm2yajZu3KjCwkKrBgAA2JtHrzIrLi7W7t27re29e/cqKytLQUFBatKkiRISEjRt2jS1aNFCLVq00LRp09SgQQMNGzZMkuR0OjVy5EhNnDhRwcHBCgoK0qRJkxQdHW1ddda6dWv169dPo0aN0oIFCyRJo0ePVlxcHFeYAQAASR4ORFu2bFH37t2t7QkTJkiShg8frsWLF2vy5MkqKSnRmDFjlJ+fr86dO2vt2rUKCAiwnjN79mzVrVtXQ4YMUUlJiXr27KnFixfLy8vLqlm+fLnGjx9vXY02cODAM977CAAA2I9HA1G3bt1kjDljv8PhUGJiohITE89YU79+fc2dO1dz5849Y01QUJCWLVv2e6YKAAAuY7X2HCIAAICLhUAEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsr1YHosTERDkcDreHy+Wy+o0xSkxMVEREhHx9fdWtWzd9/fXXbmOUlpZq3LhxCgkJkZ+fnwYOHKgDBw5c7KUAAIBarFYHIkm67rrrlJOTYz22bdtm9c2YMUOzZs3SvHnztHnzZrlcLvXu3VtHjhyxahISEpSUlKQVK1Zo/fr1Ki4uVlxcnMrLyz2xHAAAUAvV9fQEzqVu3bpuR4VOMsZozpw5euSRRzR48GBJ0uuvv66wsDC98cYbuu+++1RYWKhFixZp6dKl6tWrlyRp2bJlioyM1CeffKK+ffte1LUAAIDaqdYfIdq1a5ciIiLUrFkz3Xnnnfrvf/8rSdq7d69yc3PVp08fq9bHx0exsbFKT0+XJGVmZur48eNuNREREWrTpo1VAwAAUKuPEHXu3FlLlixRy5YtdfDgQT399NPq2rWrvv76a+Xm5kqSwsLC3J4TFham7777TpKUm5urevXqqWHDhpVqTj7/TEpLS1VaWmptFxUV1cSSAABALVSrA1H//v2tr6OjoxUTE6Orr75ar7/+urp06SJJcjgcbs8xxlRqO1VVaqZPn64nn3yymjMHAACXklr/ltlv+fn5KTo6Wrt27bLOKzr1SE9eXp511MjlcqmsrEz5+flnrDmTqVOnqrCw0Hrs37+/BlcCAABqk0sqEJWWlio7O1vh4eFq1qyZXC6XUlJSrP6ysjKlpaWpa9eukqQOHTrI29vbrSYnJ0fbt2+3as7Ex8dHgYGBbg8AAHB5qtVvmU2aNEm33HKLmjRpory8PD399NMqKirS8OHD5XA4lJCQoGnTpqlFixZq0aKFpk2bpgYNGmjYsGGSJKfTqZEjR2rixIkKDg5WUFCQJk2apOjoaOuqMwAAgFodiA4cOKC77rpLP/30kxo1aqQuXbooIyNDUVFRkqTJkyerpKREY8aMUX5+vjp37qy1a9cqICDAGmP27NmqW7euhgwZopKSEvXs2VOLFy+Wl5eXp5YFAABqmVodiFasWHHWfofDocTERCUmJp6xpn79+po7d67mzp1bw7MDAACXi0vqHCIAAIALgUAEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsj0AEAABsz1aB6KWXXlKzZs1Uv359dejQQevWrfP0lAAAQC1gm0C0cuVKJSQk6JFHHtFXX32lP/7xj+rfv7++//57T08NAAB4mG0C0axZszRy5Ej97W9/U+vWrTVnzhxFRkZq/vz5np4aAADwMFsEorKyMmVmZqpPnz5u7X369FF6erqHZgUAAGqLup6ewMXw008/qby8XGFhYW7tYWFhys3NPe1zSktLVVpaam0XFhZKkoqKiqq83/LSkmrMFhfC+bxu1XXkWPkF3weq5mK83idKTlzwfaBqLsbrffQEr3dtcb6v98l6Y8xZ62wRiE5yOBxu28aYSm0nTZ8+XU8++WSl9sjIyAsyN1xYzrn3e3oKuJimOz09A1xEzim83rbirN7rfeTIETnP8lxbBKKQkBB5eXlVOhqUl5dX6ajRSVOnTtWECROs7YqKCv38888KDg4+Y4i6HBUVFSkyMlL79+9XYGCgp6eDC4zX2154ve3Frq+3MUZHjhxRRETEWetsEYjq1aunDh06KCUlRbfddpvVnpKSokGDBp32OT4+PvLx8XFru+KKKy7kNGu1wMBAW/0C2R2vt73wetuLHV/vsx0ZOskWgUiSJkyYoPj4eHXs2FExMTF65ZVX9P333+v++3krBQAAu7NNIBo6dKgOHz6sp556Sjk5OWrTpo1Wr16tqKgoT08NAAB4mG0CkSSNGTNGY8aM8fQ0Lik+Pj564oknKr19iMsTr7e98HrbC6/32TnMua5DAwAAuMzZ4saMAAAAZ0MgAgAAtkcgAi5xixcvdrslRGJioq6//nqPzQeXh1N/rgDp8v65IBBdxtLT0+Xl5aV+/fp5ZP/79u2Tw+FQVlaWR/Z/KcjNzdW4ceN01VVXycfHR5GRkbrlllv06aefXvB9r1q1St26dZPT6ZS/v7/atm2rp556Sj///HON7SM1NVUOh0MFBQU1NiYqe/nllxUQEKATv/l4ieLiYnl7e+uPf/yjW+26devkcDj07bffXuxpoopGjBghh8NhPYKDg9WvXz9t3brV01O7rBGILmOvvvqqxo0bp/Xr1+v777/39HRwin379qlDhw767LPPNGPGDG3btk3Jycnq3r27xo4de0H3/cgjj2jo0KHq1KmTPv74Y23fvl0zZ87U//zP/2jp0qUXdN/VYYxx+2MPd927d1dxcbG2bNlita1bt04ul0ubN2/WL7/8YrWnpqYqIiJCLVu29MRUUUX9+vVTTk6OcnJy9Omnn6pu3bqKi4s7Y/3x48cv4uwuTwSiy9TRo0f11ltv6YEHHlBcXJwWL17s1v/++++rRYsW8vX1Vffu3fX6669X+p98enq6br75Zvn6+ioyMlLjx4/X0aNHrf6mTZtq2rRpuvfeexUQEKAmTZrolVdesfqbNWsmSWrfvr0cDoe6det2IZd8yRkzZowcDoc2bdqkP//5z2rZsqWuu+46TZgwQRkZGVbdrFmzFB0dLT8/P0VGRmrMmDEqLi6u9n43bdqkadOmaebMmXr++efVtWtXNW3aVL1799aqVas0fPhwq/aDDz5Qhw4dVL9+fV111VV68skn3YKJw+HQv/71L912221q0KCBWrRooffff1/Sr4Gve/fukqSGDRvK4XBoxIgRkn4NODNmzNBVV10lX19ftWvXTm+//bY17skjS2vWrFHHjh3l4+OjdevWVXvNl7tWrVopIiJCqampVltqaqoGDRqkq6++Wunp6W7t3bt3V1lZmSZPnqwrr7xSfn5+6ty5s9vzT3r33XfVsmVL1a9fX71799b+/fsvworg4+Mjl8sll8ul66+/XlOmTNH+/ft16NAh6+j7W2+9pW7duql+/fpatmyZDh8+rLvuukuNGzdWgwYNFB0drTfffNNt3G7dumn8+PGaPHmygoKC5HK5lJiY6FZTUFCg0aNHKywsTPXr11ebNm304YcfutWsWbNGrVu3lr+/vxXeLnkGl6VFixaZjh07GmOM+eCDD0zTpk1NRUWFMcaYvXv3Gm9vbzNp0iSzY8cO8+abb5orr7zSSDL5+fnGGGO2bt1q/P39zezZs823335rvvzyS9O+fXszYsQIax9RUVEmKCjI/POf/zS7du0y06dPN3Xq1DHZ2dnGGGM2bdpkJJlPPvnE5OTkmMOHD1/cb0ItdvjwYeNwOMy0adPOWTt79mzz2Wefmf/+97/m008/Na1atTIPPPCA1f/aa68Zp9NpbT/xxBOmXbt2Zxxv/Pjxxt/f35SVlZ11v8nJySYwMNAsXrzY7Nmzx6xdu9Y0bdrUJCYmWjWSTOPGjc0bb7xhdu3aZY19+PBhc+LECbNq1SojyezcudPk5OSYgoICY4wxDz/8sLnmmmtMcnKy2bNnj3nttdeMj4+PSU1NNcYY8/nnnxtJpm3btmbt2rVm9+7d5qeffjrn98rOhg0bZvr06WNtd+rUyfz73/82DzzwgHn44YeNMcaUlpYaX19f869//csMGzbMdO3a1XzxxRdm9+7d5vnnnzc+Pj7m22+/Ncb8+nPl7e1tOnbsaNLT082WLVvMjTfeaLp27eqR9dnJ8OHDzaBBg6ztI0eOmPvuu880b97clJeXm7179xpJpmnTpmbVqlXmv//9r/nhhx/MgQMHzPPPP2+++uors2fPHvPiiy8aLy8vk5GRYY0VGxtrAgMDTWJiovn222/N66+/bhwOh1m7dq0xxpjy8nLTpUsXc91115m1a9eaPXv2mA8++MCsXr3aGPN/Pxe9evUymzdvNpmZmaZ169Zm2LBhF/V7dCEQiC5TXbt2NXPmzDHGGHP8+HETEhJiUlJSjDHGTJkyxbRp08at/pFHHnELRPHx8Wb06NFuNevWrTN16tQxJSUlxphfA9Ff/vIXq7+iosKEhoaa+fPnG2OM9Uv71VdfXYglXtI2btxoJJl33nnnvJ/71ltvmeDgYGv7fANR//79Tdu2bc+5nz/+8Y+VAtvSpUtNeHi4tS3JPProo9Z2cXGxcTgc5uOPPzbG/F+wOflzdbKmfv36Jj093W3skSNHmrvuusvtee++++4554lfvfLKK8bPz88cP37cFBUVmbp165qDBw+aFStWWCEmLS3NSDK7d+82DofD/PDDD25j9OzZ00ydOtUY8+vPlSS3P6bZ2dlGktm4cePFW5gNDR8+3Hh5eRk/Pz/j5+dnJJnw8HCTmZlpjPm/f1tP/ht/NgMGDDATJ060tmNjY81NN93kVtOpUyczZcoUY4wxa9asMXXq1DE7d+487Xgnfy52795ttf3zn/80YWFh573O2sZWd6q2i507d2rTpk165513JEl169bV0KFD9eqrr6pXr17auXOnOnXq5PacG2+80W07MzNTu3fv1vLly602Y4wqKiq0d+9etW7dWpLUtm1bq9/hcMjlcikvL+9CLe2yYf73fqgOh+OctZ9//rmmTZumb775RkVFRTpx4oSOHTumo0ePys/Pr1r7rsp+MzMztXnzZj3zzDNWW3l5uY4dO6ZffvlFDRo0kOT+M+Dn56eAgICz/gx88803OnbsmHr37u3WXlZWpvbt27u1dezYsUprwq/nER09elSbN29Wfn6+WrZsqdDQUMXGxio+Pl5Hjx5VamqqmjRpov/85z8yxlQ6j6i0tFTBwcHWdt26dd1eg2uuuUZXXHGFsrOzK/2bgZrVvXt3zZ8/X5L0888/66WXXlL//v21adMmq+bU34/y8nI9++yzWrlypX744QeVlpaqtLS00r8Tv/2dlaTw8HDrdzYrK0uNGzc+6zlmDRo00NVXX33a51/KCESXoUWLFunEiRO68sorrTZjjLy9vZWfn3/aP4jmlBuWV1RU6L777tP48eMrjd+kSRPra29vb7c+h8OhioqKmljGZa1FixZyOBzKzs7Wrbfeesa67777TgMGDND999+v//f//p+CgoK0fv16jRw5stonUbZs2VLr16/X8ePHK71+v1VRUaEnn3xSgwcPrtRXv3596+vz/Rk42ffRRx+5/YxKqvSRAtUJfHbVvHlzNW7cWJ9//rny8/MVGxsrSXK5XGrWrJm+/PJLff755+rRo4cqKirk5eWlzMxMeXl5uY3j7+/vtn268FyVQI3fx8/PT82bN7e2O3ToIKfTqYULF+pvf/ubVfNbM2fO1OzZszVnzhzrvMOEhASVlZW51Z3td9bX1/ecczvd80/9G3IpIhBdZk6cOKElS5Zo5syZ6tOnj1vf7bffruXLl+uaa67R6tWr3fp+e3WKJN1www36+uuv3X4hz1e9evUk/fq/FrgLCgpS37599c9//lPjx4+v9A9bQUGBrrjiCm3ZskUnTpzQzJkzVafOr9dAvPXWW79r38OGDdOLL76ol156SQ899FCl/pP7vuGGG7Rz584a/xm49tpr5ePjo++//976o42a0b17d6Wmpio/P1//+Mc/rPbY2FitWbNGGRkZ+utf/6r27durvLxceXl5lS7L/60TJ05oy5Yt1tGgnTt3qqCgQNdcc80FXwvcORwO1alTRyUlJWesWbdunQYNGqS//OUvkn79z8euXbusI/pV0bZtWx04cEDffvut7a5EJBBdZj788EPl5+dr5MiRcjqdbn1//vOftWjRIr3zzjuaNWuWpkyZopEjRyorK8u6Cu3k//ymTJmiLl26aOzYsRo1apT8/PyUnZ2tlJQUzZ07t0pzCQ0Nla+vr5KTk9W4cWPVr1+/0pzs7KWXXlLXrl1144036qmnnlLbtm114sQJpaSkaP78+crOztbVV1+tEydOaO7cubrlllv05Zdf6uWXX/5d++3cubMmT56siRMn6ocfftBtt92miIgI7d69Wy+//LJuuukmPfTQQ3r88ccVFxenyMhI3XHHHapTp462bt2qbdu26emnn67SvqKiouRwOPThhx9qwIAB8vX1VUBAgCZNmqS///3vqqio0E033aSioiKlp6fL39/f7So3nJ+Tt2w4fvy4W9iMjY3VAw88oGPHjql79+6KjIzU3XffrXvuuUczZ85U+/bt9dNPP+mzzz5TdHS0BgwYIOnXIwHjxo3Tiy++KG9vbz344IPq0qULb5ddBKWlpcrNzZUk5efna968eSouLtYtt9xyxuc0b95cq1atUnp6uho2bKhZs2YpNzf3vAJRbGysbr75Zt1+++2aNWuWmjdvrh07dsjhcHjsnnYXjedOX8KFEBcXZwYMGHDavszMTCPJZGZmmvfee880b97c+Pj4mG7dupn58+cbSdYJ08b8epVY7969jb+/v/Hz8zNt27Y1zzzzjNUfFRVlZs+e7baPdu3amSeeeMLaXrhwoYmMjDR16tQxsbGxNbnUy8KPP/5oxo4da6Kioky9evXMlVdeaQYOHGg+//xzq2bWrFkmPDzc+Pr6mr59+5olS5a4nah8vidVn7Ry5Upz8803m4CAAOv1feqpp9xOgE5OTjZdu3Y1vr6+JjAw0Nx4443mlVdesfolmaSkJLdxnU6nee2116ztp556yrhcLuNwOMzw4cONMb+egP/CCy+YVq1aGW9vb9OoUSPTt29fk5aWZow5/cnYOLeTJ9tec801bu379+83kszVV19ttZWVlZnHH3/cNG3a1Hh7exuXy2Vuu+02s3XrVmPM//1crVq1ylx11VWmXr16pkePHmbfvn0XdU12NHz4cCPJegQEBJhOnTqZt99+2xhz5gtWDh8+bAYNGmT8/f1NaGioefTRR80999zjdsVabGyseeihh9yeN2jQIOt38+Q4f/3rX01wcLCpX7++adOmjfnwww+NMZX/vTHGmKSkJHM5xAk+7R6SpGeeeUYvv/wy9xgBANgSb5nZ1EsvvaROnTopODhYX375pZ5//nk9+OCDnp4WAAAeQSCyqV27dunpp5/Wzz//rCZNmmjixImaOnWqp6cFAIBH8JYZAACwPT7LDAAA2B6BCAAA2B6BCAAA2B6BCAAA2B6BCAAA2B6BCECt4HA49O6773p6GmratKnmzJnj6WlUSWJioq6//npPTwO4LBCIAACA7RGIAACA7RGIANSYt99+W9HR0fL19VVwcLB69eqlo0ePavPmzerdu7dCQkLkdDoVGxur//znP2cd64cfftDQoUPVsGFDBQcHa9CgQdq3b5/Vn5qaqhtvvFF+fn664oor9Ic//EHfffddleb5/vvvq2PHjqpfv75CQkI0ePBgt/5ffvlF9957rwICAtSkSRO98sorbv1TpkxRy5Yt1aBBA1111VV67LHHdPz4cav/5FtZS5cuVdOmTeV0OnXnnXfqyJEjVk23bt00fvx4TZ48WUFBQXK5XEpMTHTbT2FhoUaPHq3Q0FAFBgaqR48e+p//+Z8qrRHA+SEQAagROTk5uuuuu3TvvfcqOztbqampGjx4sIwxOnLkiIYPH65169YpIyNDLVq00IABA9wCwm/98ssv6t69u/z9/fXFF19o/fr18vf3V79+/VRWVqYTJ07o1ltvVWxsrLZu3aoNGzZo9OjRcjgc55znRx99pMGDB+tPf/qTvvrqK3366afq2LGjW83MmTPVsWNHffXVVxozZoweeOAB7dixw+oPCAjQ4sWL9c033+iFF17QwoULNXv2bLcx9uzZo3fffVcffvihPvzwQ6WlpenZZ591q3n99dfl5+enjRs3asaMGXrqqaeUkpIiSTLG6E9/+pNyc3O1evVqZWZm6oYbblDPnj31888/V+k1AXAeDADUgMzMTCPJ7Nu375y1J06cMAEBAeaDDz6w2iSZpKQkY4wxixYtMq1atTIVFRVWf2lpqfH19TVr1qwxhw8fNpJMamrqec8zJibG3H333Wfsj4qKMn/5y1+s7YqKChMaGmrmz59/xufMmDHDdOjQwdp+4oknTIMGDUxRUZHV9o9//MN07tzZ2o6NjTU33XST2zidOnUyU6ZMMcYY8+mnn5rAwEBz7Ngxt5qrr77aLFiwwNpPu3btzrJaAFXFESIANaJdu3bq2bOnoqOjdccdd2jhwoXKz8+XJOXl5en+++9Xy5Yt5XQ65XQ6VVxcrO+///60Y2VmZmr37t0KCAiQv7+//P39FRQUpGPHjmnPnj0KCgrSiBEj1LdvX91yyy164YUXlJOTU6V5ZmVlqWfPnmetadu2rfW1w+GQy+VSXl6e1fb222/rpptuksvlkr+/vx577LFKa2natKkCAgKs7fDwcLcxTt3PqTWZmZkqLi5WcHCw9T3w9/fX3r17tWfPniqtFUDV8Wn3AGqEl5eXUlJSlJ6errVr12ru3Ll65JFHtHHjRo0dO1aHDh3SnDlzFBUVJR8fH8XExKisrOy0Y1VUVKhDhw5avnx5pb5GjRpJkl577TWNHz9eycnJWrlypR599FGlpKSoS5cuZ52nr6/vOdfi7e3ttu1wOFRRUSFJysjI0J133qknn3xSffv2ldPp1IoVKzRz5swqj1GVmoqKCoWHhys1NbXS/K644opzrgHA+SEQAagxDodDf/jDH/SHP/xBjz/+uKKiopSUlKR169bppZde0oABAyRJ+/fv108//XTGcW644QatXLnSOpn4TNq3b6/27dtr6tSpiomJ0RtvvHHOQNS2bVt9+umn+utf/1qtNX755ZeKiorSI488YrVV9WTu83HDDTcoNzdXdevWVdOmTWt8fADueMsMQI3YuHGjpk2bpi1btuj777/XO++8o0OHDql169Zq3ry5li5dquzsbG3cuFF33333WY/U3H333QoJCdGgQYO0bt067d27V2lpaXrooYd04MAB7d27V1OnTtWGDRv03Xffae3atfr222/VunXrc87ziSee0JtvvqknnnhC2dnZ2rZtm2bMmFHldTZv3lzff/+9VqxYoT179ujFF19UUlJSlZ9fVb169VJMTIxuvfVWrVmzRvv27VN6eroeffRRbdmypcb3B9gdgQhAjQgMDNQXX3yhAQMGqGXLlnr00Uc1c+ZM9e/fX6+++qry8/PVvn17xcfHa/z48QoNDT3jWA0aNNAXX3yhJk2aaPDgwWrdurXuvfdelZSUKDAwUA0aNNCOHTt0++23q2XLlho9erQefPBB3XfffeecZ7du3fTvf/9b77//vq6//nr16NFDGzdurPI6Bw0apL///e968MEHdf311ys9PV2PPfZYlZ9fVQ6HQ6tXr9bNN9+se++9Vy1bttSdd96pffv2KSwsrMb3B9idwxhjPD0JAAAAT+IIEQAAsD0CEYDLynXXXed2mfpvH6e7ag0AJN4yA3CZ+e6779w+RuO3wsLC3O4NBAAnEYgAAIDt8ZYZAACwPQIRAACwPQIRAACwPQIRAACwPQIRAACwPQIRAACwPQIRAACwPQIRAACwvf8P9qcHUcLGbAUAAAAASUVORK5CYII=", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.countplot(x='sales_channel', data=df)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 167, + "id": "c28d7c51", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.countplot(df, x=\"sales_channel\", hue=\"response\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 168, + "id": "d3c1ee55", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.boxplot(data=df, x=\"response\", y=\"total_claim_amount\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 169, + "id": "cba0aa6c", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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customerstateresponsecoverageeducationemploymentstatusgenderlocation_codemarital_statuspolicy_typepolicyrenew_offer_typesales_channelvehicle_classvehicle_size
0BU79786WashingtonNoBasicBachelorEmployedFSuburbanMarriedCorporate AutoCorporate L3Offer1AgentTwo-Door CarMedsize
1QZ44356ArizonaNoExtendedBachelorUnemployedFSuburbanSinglePersonal AutoPersonal L3Offer3AgentFour-Door CarMedsize
2AI49188NevadaNoPremiumBachelorEmployedFSuburbanMarriedPersonal AutoPersonal L3Offer1AgentTwo-Door CarMedsize
3WW63253CaliforniaNoBasicBachelorUnemployedMSuburbanMarriedCorporate AutoCorporate L2Offer1Call CenterSUVMedsize
4HB64268WashingtonNoBasicBachelorEmployedMRuralSinglePersonal AutoPersonal L1Offer1AgentFour-Door CarMedsize
................................................
9129LA72316CaliforniaNoBasicBachelorEmployedMUrbanMarriedPersonal AutoPersonal L1Offer2WebFour-Door CarMedsize
9130PK87824CaliforniaYesExtendedCollegeEmployedFSuburbanDivorcedCorporate AutoCorporate L3Offer1BranchFour-Door CarMedsize
9131TD14365CaliforniaNoExtendedBachelorUnemployedMSuburbanSingleCorporate AutoCorporate L2Offer1BranchFour-Door CarMedsize
9132UP19263CaliforniaNoExtendedCollegeEmployedMSuburbanMarriedPersonal AutoPersonal L2Offer3BranchFour-Door CarLarge
9133Y167826CaliforniaNoExtendedCollegeUnemployedMSuburbanSingleCorporate AutoCorporate L3Offer4Call CenterTwo-Door CarMedsize
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9134 rows × 15 columns

\n", + "
" + ], + "text/plain": [ + " customer state response coverage education employmentstatus \\\n", + "0 BU79786 Washington No Basic Bachelor Employed \n", + "1 QZ44356 Arizona No Extended Bachelor Unemployed \n", + "2 AI49188 Nevada No Premium Bachelor Employed \n", + "3 WW63253 California No Basic Bachelor Unemployed \n", + "4 HB64268 Washington No Basic Bachelor Employed \n", + "... ... ... ... ... ... ... \n", + "9129 LA72316 California No Basic Bachelor Employed \n", + "9130 PK87824 California Yes Extended College Employed \n", + "9131 TD14365 California No Extended Bachelor Unemployed \n", + "9132 UP19263 California No Extended College Employed \n", + "9133 Y167826 California No Extended College Unemployed \n", + "\n", + " gender location_code marital_status policy_type policy \\\n", + "0 F Suburban Married Corporate Auto Corporate L3 \n", + "1 F Suburban Single Personal Auto Personal L3 \n", + "2 F Suburban Married Personal Auto Personal L3 \n", + "3 M Suburban Married Corporate Auto Corporate L2 \n", + "4 M Rural Single Personal Auto Personal L1 \n", + "... ... ... ... ... ... \n", + "9129 M Urban Married Personal Auto Personal L1 \n", + "9130 F Suburban Divorced Corporate Auto Corporate L3 \n", + "9131 M Suburban Single Corporate Auto Corporate L2 \n", + "9132 M Suburban Married Personal Auto Personal L2 \n", + "9133 M Suburban Single Corporate Auto Corporate L3 \n", + "\n", + " renew_offer_type sales_channel vehicle_class vehicle_size \n", + "0 Offer1 Agent Two-Door Car Medsize \n", + "1 Offer3 Agent Four-Door Car Medsize \n", + "2 Offer1 Agent Two-Door Car Medsize \n", + "3 Offer1 Call Center SUV Medsize \n", + "4 Offer1 Agent Four-Door Car Medsize \n", + "... ... ... ... ... \n", + "9129 Offer2 Web Four-Door Car Medsize \n", + "9130 Offer1 Branch Four-Door Car Medsize \n", + "9131 Offer1 Branch Four-Door Car Medsize \n", + "9132 Offer3 Branch Four-Door Car Large \n", + "9133 Offer4 Call Center Two-Door Car Medsize \n", + "\n", + "[9134 rows x 15 columns]" + ] + }, + "execution_count": 173, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "categorical = df.select_dtypes(include=[object])\n", + "categorical" + ] + }, + { + "cell_type": "code", + "execution_count": 174, + "id": "1457843c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 9134 entries, 0 to 9133\n", + "Data columns (total 25 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 customer 9134 non-null object \n", + " 1 state 9134 non-null object \n", + " 2 customer_lifetime_value 9134 non-null float64 \n", + " 3 response 9134 non-null object \n", + " 4 coverage 9134 non-null object \n", + " 5 education 9134 non-null object \n", + " 6 effective_to_date 9134 non-null datetime64[ns]\n", + " 7 employmentstatus 9134 non-null object \n", + " 8 gender 9134 non-null object \n", + " 9 income 9134 non-null int64 \n", + " 10 location_code 9134 non-null object \n", + " 11 marital_status 9134 non-null object \n", + " 12 monthly_premium_auto 9134 non-null int64 \n", + " 13 months_since_last_claim 9134 non-null int64 \n", + " 14 months_since_policy_inception 9134 non-null int64 \n", + " 15 number_of_open_complaints 9134 non-null int64 \n", + " 16 number_of_policies 9134 non-null int64 \n", + " 17 policy_type 9134 non-null object \n", + " 18 policy 9134 non-null object \n", + " 19 renew_offer_type 9134 non-null object \n", + " 20 sales_channel 9134 non-null object \n", + " 21 total_claim_amount 9134 non-null float64 \n", + " 22 vehicle_class 9134 non-null object \n", + " 23 vehicle_size 9134 non-null object \n", + " 24 month 9134 non-null int32 \n", + "dtypes: datetime64[ns](1), float64(2), int32(1), int64(6), object(15)\n", + "memory usage: 1.7+ MB\n" + ] + } + ], + "source": [ + "df.info() # just checking if I got the right amount of columns in categorical and numerical" + ] + }, + { + "cell_type": "markdown", + "id": "34a27f2f", + "metadata": {}, + "source": [ + "Now we will try to check the normality of the numerical variables visually\n", + "Use seaborn library to construct distribution plots for the numerical variables\n", + "Use Matplotlib to construct histograms\n", + "Do the distributions for different numerical variables look like a normal distribution" + ] + }, + { + "cell_type": "code", + "execution_count": 175, + "id": "23ef64da", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['customer_lifetime_value', 'income', 'monthly_premium_auto',\n", + " 'months_since_last_claim', 'months_since_policy_inception',\n", + " 'number_of_open_complaints', 'number_of_policies', 'total_claim_amount',\n", + " 'month'],\n", + " dtype='object')" + ] + }, + "execution_count": 175, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "numerical.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 176, + "id": "f1860922", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.displot(numerical, x=\"customer_lifetime_value\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 177, + "id": "7e6881f1", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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ba8Vdf/31+vLLL33a9u/fr1atWkmS2rRpo+joaKWmpqpr166SpKKiIm3evFnPPPOMJKlbt24KCAhQamqqRowYIUnKzMzUnj17NHfu3FqrFQCA2nZOIe31eiWdCccdO3YoMjLyghRV4v7771evXr2UnJysESNG6KOPPtILL7ygF154QdKZHwuJiYlKTk5WfHy84uPjlZycrJCQEI0cOVKS5PF4NH78eE2fPl1NmzZVRESEHnzwQXXq1Mk52xsAABvV6BKsQ4cO1XYdFbr22mu1Zs0azZw5U7Nnz1abNm20YMECjRo1yukzY8YM5efna+LEicrJyVGPHj20fv16hYWFOX3mz58vf39/jRgxQvn5+erfv7+WL1+uRo0aXZTtAACgJlzGGFOTBTdu3KiNGzcqOzvbGWGXeOmll2qlOJvk5eXJ4/EoNzdXTZo0Oe/1paena9IrZ+6c9tyoblWePV7SN//YD/ILaSJ3YOBZlwEA1H81Gkk/+eSTmj17trp3767mzZuf9UxqAABw7moU0s8//7yWL1+u0aNH13Y9AADg/9ToOumioqIqL18CAADnr0Yhfffdd2vVqlW1XQsAACilRru7CwoK9MILL2jDhg3q3LmzAgICfObPmzevVooDAKAhq1FIf/bZZ7r66qslSXv27PGZx0lkAADUjhqF9Pvvv1/bdQAAgDKsflQlAAANWY1G0v369atyt/Z7771X44IAAMAZNQrpkuPRJU6dOqVdu3Zpz5495R68AQAAaqZGIT1//vwK25OSknTixInzKggAAJxRq8ek77zzzkvyvt0AANSFWg3p7du3KygoqDZXCQBAg1Wj3d3Dhw/3eW2MUWZmpj7++GM99thjtVIYzjy/OyMjQ0ePHpVq9KwyAEB9VqOQ9ng8Pq/9/Px05ZVXavbs2Ro0aFCtFAYpIyND4xavU0HeTwqJal3X5QAALrIahfSyZctquw5UItgTySgaABqoGoV0ibS0NH3++edyuVzq0KGDunbtWlt1AQDQ4NUopLOzs3X77bdr06ZNuuyyy2SMUW5urvr166fVq1fr8ssvr+06AQBocGp0dveUKVOUl5envXv36qefflJOTo727NmjvLw8TZ06tbZrBACgQarRSHrt2rXasGGD2rdv77R16NBBzz33HCeOAQBQS2o0kvZ6veWeIS1JAQEB8nq9510UAACoYUjfeOONmjZt2pnrd/9PRkaG7r//fvXv37/WigMAoCGrUUgvWrRIx48fV+vWrfWLX/xC7dq1U5s2bXT8+HEtXLiwtmsEAKBBqtEx6bi4OO3cuVOpqan64osvZIxRhw4dNGDAgNquDwCABuucRtLvvfeeOnTooLy8PEnSwIEDNWXKFE2dOlXXXnutOnbsqC1btlyQQgEAaGjOKaQXLFige+65R02aNCk3z+PxaMKECZo3b16tFQcAQEN2TiH96aef6qabbqp0/qBBg5SWlnbeRQEAgHMM6e+++67CS69K+Pv76/vvvz/vogAAwDmGdGxsrHbv3l3p/M8++0zNmzc/76IAAMA5hvQtt9yixx9/XAUFBeXm5efn64knntDQoUNrrTgAABqyc7oE6w9/+IPefPNNXXHFFZo8ebKuvPJKuVwuff7553ruuedUXFysWbNmXahaAQBoUM4ppKOiorRt2zbdd999mjlzpow586Bjl8ulwYMHa/HixYqKiroghQIA0NCc881MWrVqpXfffVc5OTk6ePCgjDGKj49XeHj4hagPAIAGq0Z3HJOk8PBwXXvttbVZCwAAKKVG9+4GAAAXHiENAIClCGkAACxFSAMAYClCGgAASxHSAABYipAGAMBShDQAAJYipAEAsBQhDQCApQhpAAAsRUgDAGCpGj9gA7XDeL06evSo8zo2NlZ+fvx2AgAQ0nWuIO8nzXg9S57LM5Wf+4NemjhYcXFxdV0WAMAChLQFgjyRComIqusyAACWYb8qAACWIqQBALAUIQ0AgKUIaQAALEVIAwBgKUIaAABLEdIAAFiKkAYAwFKENAAAliKkAQCwFCENAIClCGkAACxFSAMAYClCGgAASxHSAABYipAGAMBS/nVdAMrzer3KyMjQ0aNHJVPX1QAA6kq9GkmnpKTI5XIpMTHRaTPGKCkpSTExMQoODlbfvn21d+9en+UKCws1ZcoURUZGKjQ0VMOGDdO33357kauvvoyMDI1bvE4P/nWzCk8V1XU5AIA6Um9CeseOHXrhhRfUuXNnn/a5c+dq3rx5WrRokXbs2KHo6GgNHDhQx48fd/okJiZqzZo1Wr16tbZu3aoTJ05o6NChKi4uvtibUW3BnkgFhUXUdRkAgDpUL0L6xIkTGjVqlJYuXarw8HCn3RijBQsWaNasWRo+fLgSEhK0YsUKnTx5UqtWrZIk5ebm6sUXX9Szzz6rAQMGqGvXrlq5cqV2796tDRs21NUmAQBwVvUipCdNmqQhQ4ZowIABPu2HDh1SVlaWBg0a5LS53W716dNH27ZtkySlpaXp1KlTPn1iYmKUkJDg9KlIYWGh8vLyfCYAAC4m608cW716tXbu3KkdO3aUm5eVlSVJioqK8mmPiorS4cOHnT6BgYE+I/CSPiXLVyQlJUVPPvnk+ZYPAECNWT2STk9P17Rp07Ry5UoFBQVV2s/lcvm8NsaUayvrbH1mzpyp3NxcZ0pPTz+34gEAOE9Wh3RaWpqys7PVrVs3+fv7y9/fX5s3b9af//xn+fv7OyPosiPi7OxsZ150dLSKioqUk5NTaZ+KuN1uNWnSxGcCAOBisjqk+/fvr927d2vXrl3O1L17d40aNUq7du1S27ZtFR0drdTUVGeZoqIibd68Wb169ZIkdevWTQEBAT59MjMztWfPHqfPpcjr9So9PV3p6enyer11XQ4AoAasPiYdFhamhIQEn7bQ0FA1bdrUaU9MTFRycrLi4+MVHx+v5ORkhYSEaOTIkZIkj8ej8ePHa/r06WratKkiIiL04IMPqlOnTuVORLuUlFxrbYxXc/6ji2JiYhQbGys/P6t/lwEASrE6pKtjxowZys/P18SJE5WTk6MePXpo/fr1CgsLc/rMnz9f/v7+GjFihPLz89W/f38tX75cjRo1qsPKL7xgT6Tyj/2gGa+nKTBwt16aOFhxcXF1XRYAoJrqXUhv2rTJ57XL5VJSUpKSkpIqXSYoKEgLFy7UwoULL2xxlgryRModGFjXZQAAzhH7PgEAsFS9G0mjajycAwAuHYT0JabkhLGCvJ8UEtW6rssBAJwHQvoSFOyJZBQNAJcAQtoixus9s5taqjJkS/fjsioAuHQR0hYpyPtJM17PkrfgRJW7qkv6cVkVAFzaCGnLBHki5Q04++VSXFYFAJc+9pMCAGApQhoAAEsR0gAAWIqQBgDAUoQ0AACWIqQBALAUIQ0AgKUIaQAALEVIAwBgKUIaAABLEdIAAFiKkAYAwFKENAAAliKkAQCwFI+qbCCM16ujR49KkmJjY+Xnx+8zALAd39QNREHeT5rxeprGLV6njIyMui4HAFANjKQbkCBPpNyBgXVdBgCgmhhJAwBgKUIaAABLEdIAAFiKkAYAwFKENAAAliKkAQCwFCENAIClCGkAACxFSAMAYClCGgAASxHSAABYipAGAMBShDQAAJYipAEAsBSPqrxEeL1eZWRk6OjRo5Kp62oAALWBkL5EZGRkaNzidSrI+0khUa3ruhwAQC0gpC8hwZ5IRtEAcAnhmDQAAJYipAEAsBQhDQCApTgmXY8Zr/fM2dwSZ3UDwCWIkK7HCvJ+0ozXs+S5PFM56fs5qxsALjHs7q7ngjyRComIUlBYRF2XAgCoZYQ0AACWIqQBALAUIQ0AgKUIaQAALEVIAwBgKUIaAABLEdIAAFiKkAYAwFLccayBKX0r0djYWPn58TsNAGzFN3QDc+ZWomkat3idMjIy6rocAEAVGEk3QEGeSLkDA+u6DADAWTCSBgDAUoQ0AACWYnf3Reb1epWRkcHznwEAZ0VIX2QZGRkat3idCvJ+4vnPAIAqEdJ1INgTySgaAHBWHJMGAMBShDQAAJYipAEAsJTVIZ2SkqJrr71WYWFhatasmW677TZ9+eWXPn2MMUpKSlJMTIyCg4PVt29f7d2716dPYWGhpkyZosjISIWGhmrYsGH69ttvL+amAABwzqwO6c2bN2vSpEn68MMPlZqaqtOnT2vQoEH6+eefnT5z587VvHnztGjRIu3YsUPR0dEaOHCgjh8/7vRJTEzUmjVrtHr1am3dulUnTpzQ0KFDVVxcXBebBQBAtVh9dvfatWt9Xi9btkzNmjVTWlqabrjhBhljtGDBAs2aNUvDhw+XJK1YsUJRUVFatWqVJkyYoNzcXL344ot6+eWXNWDAAEnSypUrFRcXpw0bNmjw4MEXfbsAAKgOq0fSZeXm5kqSIiIiJEmHDh1SVlaWBg0a5PRxu93q06ePtm3bJklKS0vTqVOnfPrExMQoISHB6VORwsJC5eXl+UwAAFxM9SakjTF64IEH1Lt3byUkJEiSsrKyJElRUVE+faOiopx5WVlZCgwMVHh4eKV9KpKSkiKPx+NMcXFxtbk5AACcVb0J6cmTJ+uzzz7Tq6++Wm6ey+XyeW2MKddW1tn6zJw5U7m5uc6Unp5es8IBAKihehHSU6ZM0dtvv633339fLVq0cNqjo6MlqdyIODs72xldR0dHq6ioSDk5OZX2qYjb7VaTJk18JgAALiarQ9oYo8mTJ+vNN9/Ue++9pzZt2vjMb9OmjaKjo5Wamuq0FRUVafPmzerVq5ckqVu3bgoICPDpk5mZqT179jh9AACwkdVnd0+aNEmrVq3S3/72N4WFhTkjZo/Ho+DgYLlcLiUmJio5OVnx8fGKj49XcnKyQkJCNHLkSKfv+PHjNX36dDVt2lQRERF68MEH1alTJ+dsbwAAbGR1SC9ZskSS1LdvX5/2ZcuWaezYsZKkGTNmKD8/XxMnTlROTo569Oih9evXKywszOk/f/58+fv7a8SIEcrPz1f//v21fPlyNWrU6GJtCgAA58zqkDbm7I+KcrlcSkpKUlJSUqV9goKCtHDhQi1cuLAWqwMA4MKy+pg0AAANGSENAIClCGkAACxFSAMAYClCGgAASxHSAABYipAGAMBShDQAAJYipAEAsBQhDQCApQhpAAAsRUgDAGApQhoAAEsR0gAAWMrqR1XiwjFer44ePeq8jo2NlZ8fv9kAwCaEdANVkPeTZryeJc/lmcrP/UEvTRysuLi4ui4LAFAKId2ABXkiFRIRVddlAAAqwf5NAAAsRUgDAGApQhoAAEtxTBo+Z3pzljcA2INvY/zfmd5pGrd4nTIyMuq6HADA/2EkDUlnzvR2BwbWdRkAgFIYSQMAYClCGgAAS7G7Gw5OIAMAu/AtDAcnkAGAXRhJwwcnkAGAPRhJAwBgKUbSKIdj0wBgB759UQ7HpgHADoykUSGOTQNA3WMkDQCApQhpAAAsxe5unJXX63WOTcfGxkqSz7Hqsm2cbAYAtYOQxlllZGRo3OJ1kqSXJg6WJI1bvE7Bnkjl5/7g01bSJy4urm6KBYBLCCGNagn2RJZ7HRIRVWUfAMD5YZ8kAACWIqQBALAUu7tRqdJ3HpOR5KrTcgCgwSGkUakzdx7LkrfghEKiWnNzEwC4yAhpVCnIEylvwJlwLjeyrqiN0TYA1BpCGtVWdmQdUkEbo20AqD2ENM5J6ZF1VW0AgPPH2d0AAFiKkTRqFc+iBoDaQ0ijVpUcow4I+FRz/qOLYmJifMK69H3AJYIcAKpCSKPWBXki5T2ZpxmvpykwcLfPvbxL7gNe+r7f3OcbACpGSOOCCfJEKtDf32f3t1Txfb8BAOUR0rigSnZ/l4yoAQDVR0jjggvyRHL9NADUAGfsAABgKUbSuCgquqUoAKBqhDQuiopuKQoAqBohjYum7O1DufEJAFSNb0XUmTOj6zSNW7zO5wYnZXm9XqWnpys9PV1er/ciVggAdYuRNOpUdc78LrkBiqRzvvlJ6TucMVoHUN8Q0qhzJbu9S0bJfn5+zo1PMjIydPToUQU3ifR5VvXZwrdk/tGjR/WHNbsl17kHPADUNUIada70SWV+QY0VGBjo3Phk3OJ1Ksj7qdyzqisbXZcN54Lj5ZcFgPqCkIYVSk4q8wtp4hOowZ7ISi/ZCvZElhuFZ2Vl+YRzUBXvWd1d4TwUBEBdIaRhncquqS7dfvToUcmUH4WXXOJVVTiXqO6xbh4KAqCuENKwTtlrqsu2ey7PVE76fmde6VF46Uu8KlN6l3jZY91V9eOhIAAuNkIaVip7TXXp9pCIKOUf++Gc1ld2FF6d49UlI+iSY+IV3YCFs8cBXEiENBqEikbhJbvEqzq7vKpj4tL5XR4GAGdDSKPBqGwUXva4dkCAv+b8R5czMysJ6OruMq9oGan6J6oxOgcaNkIaUJnj2ifzNOP1tHLHxKX/P+qubJd5ScCWHZX7+fmVG3XHxsb6hLGkSq/triy4CXTg0tagQnrx4sX64x//qMzMTHXs2FELFizQr371q7ouCxaq7Jh42ZPayu4yLx3epa/5LtkNXvqysZK+Rl5n5F46+AP9/csdRy97U5aS4DfmzDqio6N96vXz86vwB0Nt4UcCcGE1mJB+7bXXlJiYqMWLF+v666/XX/7yF918883at2+fWrZsWdfloR6pKMArCm+/kCblgrbsZWMhUa3LjdyDyqyz9HH00usrfdw8/9gPzjpKLkXzC2osz+Uxyknf77MbPyYmxmfkXtmd3iRVeq/0kr6V/UgoCeuq7gZX2fzq9gEaggYT0vPmzdP48eN19913S5IWLFigdevWacmSJUpJSanj6nApqCq8K7tsrKplS9pLH0cvWV9AwKfljpuXvRTNL6SJs2zp3fiBgbvL3dGt7LH4P6zZreDLIp2ALxv+pfsGNzlz/XjpHwmey2N08lh2hT8Kyu4VKAn70j8Wyu5lKFlH2d38ZX9ElP5xUPJ+FfWp7JBBybI1OV+g7Lyy71/Rj6CarqM6P1rO5xDJhfyRVNHnLVX+mdigLm9o1CBCuqioSGlpaXrkkUd82gcNGqRt27ZVuExhYaEKCwud17m5uZKkvLy886rl+PHjOp6droLjOfI7kStv4c/yO5ErP+9pnfjxqE9bdf/JspYv6w7VqYKTOl1UoBPZ6ef/vu5QFeX9rEnPHZa38KSCL29xTsv6mWIdOHBAknS6MF+niwrk52pUbp3+QSHOPG+Zf1b4/u5QZ/6pgpP6+ccsTXrusPwDApQ86gZJ0qOvfKCiE7kKvryFAgMDdeDAAR04cMBp93OHqHFEM+VlfuOst/Q6SkbqWVlZPst4C086yxYczyn3fqX7VLauoLBwZ9myhw1KlPSVVK5f2Xll37/s53A+66isvurUWtU2VGc7z1dFn7dU+Wdig7I1vzR9hFq0aFEr6w4LC5PLVcWZp6YByMjIMJLMv/71L5/2OXPmmCuuuKLCZZ544gmjM2MUJiYmJiamCzLl5uZWmV8NYiRdouyvFWNMpb9gZs6cqQceeMB57fV69dNPP6lp06ZV/urJy8tTXFyc0tPT1aRJk9op/AKj5oujPtYs1c+6qfniqI81S3bVHRYWVuX8BhHSkZGRatSokbKysnzas7OzFRVV8a0e3W633G63T9tll11W7fds0qRJnf/HP1fUfHHUx5ql+lk3NV8c9bFmqX7UbdfR+QskMDBQ3bp1U2pqqk97amqqevXqVUdVAQBQtQYxkpakBx54QKNHj1b37t3Vs2dPvfDCCzpy5Ijuvffeui4NAIAKNZiQ/t3vfqcff/xRs2fPVmZmphISEvTuu++qVatWtfo+brdbTzzxRLld5Taj5oujPtYs1c+6qfniqI81S/WrbpcxxtR1EQAAoLwGcUwaAID6iJAGAMBShDQAAJYipAEAsBQhXYsWL16sNm3aKCgoSN26ddOWLVsuyPt88MEHuvXWWxUTEyOXy6W33nrLZ74xRklJSYqJiVFwcLD69u2rvXv3+vQpLCzUlClTFBkZqdDQUA0bNkzffvutT5+cnByNHj1aHo9HHo9Ho0eP1rFjx3z6HDlyRLfeeqtCQ0MVGRmpqVOnqqioqFzNKSkpuvbaaxUWFqZmzZrptttu05dffml13UuWLFHnzp2dGx707NlT//znP62ttyIpKSlyuVxKTEy0uu6kpCS5XC6fqfT9m22sWTrzUIg777xTTZs2VUhIiK6++mqlpaVZW3fr1q3Lfc4ul0uTJk2ysl5JOn36tP7whz+oTZs2Cg4OVtu2bTV79myfB6fYWHetOb+7YqPE6tWrTUBAgFm6dKnZt2+fmTZtmgkNDTWHDx+u9fd69913zaxZs8wbb7xhJJk1a9b4zH/66adNWFiYeeONN8zu3bvN7373O9O8eXOTl5fn9Ln33ntNbGysSU1NNTt37jT9+vUzXbp0MadPn3b63HTTTSYhIcFs27bNbNu2zSQkJJihQ4c680+fPm0SEhJMv379zM6dO01qaqqJiYkxkydPLlfz4MGDzbJly8yePXvMrl27zJAhQ0zLli3NiRMnrK377bffNv/4xz/Ml19+ab788kvz6KOPmoCAALNnzx4r6y3ro48+Mq1btzadO3c206ZNs/ZzNubMvfI7duxoMjMznSk7O9vqmn/66SfTqlUrM3bsWPPvf//bHDp0yGzYsMEcPHjQ2rqzs7N9PuPU1FQjybz//vtW1muMMU899ZRp2rSp+fvf/24OHTpk/ud//sc0btzYLFiwwNrPuTYR0rXkl7/8pbn33nt92q666irzyCOPXND3LRvSXq/XREdHm6efftppKygoMB6Pxzz//PPGGGOOHTtmAgICzOrVq50+GRkZxs/Pz6xdu9YYY8y+ffuMJPPhhx86fbZv324kmS+++MIYc+bHgp+fn8nIyHD6vPrqq8btdp/1pvHZ2dlGktm8eXO9qjs8PNz893//t/X1Hj9+3MTHx5vU1FTTp08fJ6RtrfuJJ54wXbp0qXBbbK354YcfNr17966wZpvrLm3atGnmF7/4hfF6vdbWO2TIEDNu3DiftuHDh5s777yz3nzO54Pd3bWg5FGYgwYN8mmv6lGYF8qhQ4eUlZXlU4vb7VafPn2cWtLS0nTq1CmfPjExMUpISHD6bN++XR6PRz169HD6XHfddfJ4PD59EhISFBMT4/QZPHiwCgsLfXb5VaTk0Z8RERH1ou7i4mKtXr1aP//8s3r27Gl9vZMmTdKQIUM0YMAAn3ab6z5w4IBiYmLUpk0b3X777fr666+trvntt99W9+7d9dvf/lbNmjVT165dtXTp0nrxWUtnvrdWrlypcePGyeVyWVtv7969tXHjRu3fv1+S9Omnn2rr1q265ZZb6sXnfL4azB3HLqQffvhBxcXF5R7WERUVVe6hHhdayftVVMvhw4edPoGBgQoPDy/Xp2T5rKwsNWvWrNz6mzVr5tOn7PuEh4crMDCwyu02xuiBBx5Q7969lZCQYHXdu3fvVs+ePVVQUKDGjRtrzZo16tChg/M/rW31StLq1au1c+dO7dixo9w8Wz/nHj166K9//auuuOIKfffdd3rqqafUq1cv7d2719qav/76ay1ZskQPPPCAHn30UX300UeaOnWq3G637rrrLmvrLvHWW2/p2LFjGjt2rLMOG+t9+OGHlZubq6uuukqNGjVScXGx5syZozvuuMPqumsLIV2LzuVRmDbWUrZPRf1r0qesyZMn67PPPtPWrVutr/vKK6/Url27dOzYMb3xxhsaM2aMNm/ebG296enpmjZtmtavX6+goKBKa7Ct7ptvvtn5906dOqlnz576xS9+oRUrVui6666zsmav16vu3bsrOTlZktS1a1ft3btXS5Ys0V133VXp+uq67hIvvviibr75Zp9RoY31vvbaa1q5cqVWrVqljh07ateuXUpMTFRMTIzGjBljbd21hd3dtaAmj8K8UErOiK2qlujoaBUVFSknJ6fKPt9991259X///fc+fcq+T05Ojk6dOlXpdk+ZMkVvv/223n//fbVo0cL6ugMDA9WuXTt1795dKSkp6tKli/70pz9ZW29aWpqys7PVrVs3+fv7y9/fX5s3b9af//xn+fv7O/1tq7us0NBQderUSQcOHLD2s27evLk6dOjg09a+fXsdOXLEWZeNdUvS4cOHtWHDBt19991Om631PvTQQ3rkkUd0++23q1OnTho9erTuv/9+paSkWF13rbkgR7oboF/+8pfmvvvu82lr3759nZ049swzzzhthYWFFZ5E8dprrzl9jh49WuFJFP/+97+dPh9++GGFJ1EcPXrU6bN69eoKT6Lwer1m0qRJJiYmxuzfv7/cdthad1k33nijGTNmjLX15uXlmd27d/tM3bt3N3feeafZvXu3tXWXVVBQYGJjY82TTz5pbc133HFHuRPHEhMTTc+ePY0xdv9NP/HEEyY6OtqcOnXKabO13oiICLN48WKftuTkZBMfH2913bWFkK4lJZdgvfjii2bfvn0mMTHRhIaGmm+++abW3+v48ePmk08+MZ988omRZObNm2c++eQT53Kvp59+2ng8HvPmm2+a3bt3mzvuuKPCyxFatGhhNmzYYHbu3GluvPHGCi9H6Ny5s9m+fbvZvn276dSpU4WXI/Tv39/s3LnTbNiwwbRo0aLCyxHuu+8+4/F4zKZNm3wuATl58qTTx7a6Z86caT744ANz6NAh89lnn5lHH33U+Pn5mfXr11tZb2VKn91ta93Tp083mzZtMl9//bX58MMPzdChQ01YWJjz/4+NNX/00UfG39/fzJkzxxw4cMC88sorJiQkxKxcudLqz7q4uNi0bNnSPPzww+Xm2VjvmDFjTGxsrHMJ1ptvvmkiIyPNjBkzrK67thDStei5554zrVq1MoGBgeaaa65xLi+qbe+//76RVG4aM2aMMebML8uSX8put9vccMMNZvfu3T7ryM/PN5MnTzYREREmODjYDB061Bw5csSnz48//mhGjRplwsLCTFhYmBk1apTJycnx6XP48GEzZMgQExwcbCIiIszkyZNNQUFBuZorqleSWbZsmdPHtrrHjRvn/Pe8/PLLTf/+/Z2AtrHeypQNaRvrLrmuNSAgwMTExJjhw4ebvXv3Wl2zMca88847JiEhwbjdbnPVVVeZF154wWe+jXWvW7fOSDJffvlluXk21puXl2emTZtmWrZsaYKCgkzbtm3NrFmzTGFhodV11xYeVQkAgKU4cQwAAEsR0gAAWIqQBgDAUoQ0AACWIqQBALAUIQ0AgKUIaQAALEVIAwBgKUIaQJWSkpJ09dVXO6/Hjh2r2267zXltjNHvf/97RUREyOVyadeuXTV+r759+yoxMbHGy9vC5XLprbfequsycAngUZXABbRp0yb169dPOTk5uuyyy+q6nFrxpz/9SaVvVLh27VotX75cmzZtUtu2bRUZGXnWdVT2ubz55psKCAi4EGUD9RIhDTRgxhgVFxfL37/6XwUej8fn9VdffaXmzZurV69e511PRETEea8DuJSwuxuQ5PV69cwzz6hdu3Zyu91q2bKl5syZo02bNsnlcunYsWNO3127dsnlcumbb76RdObZvLfeeqvCw8MVGhqqjh076t1339U333yjfv36SZLCw8Plcrk0duxYSVJhYaGmTp2qZs2aKSgoSL1799aOHTuc9yh533Xr1qlr164KDg7WjTfeqOzsbP3zn/9U+/bt1aRJE91xxx06efKks5wxRnPnzlXbtm0VHBysLl266H//938rXG/37t3ldru1ZcuWc/qsSu/uHjt2rKZMmaIjR47I5XKpdevWZ62jqs+l7O7u1q1b66mnntJdd92lxo0bq1WrVvrb3/6m77//Xr/+9a/VuHFjderUSR9//LFPjdu2bdMNN9yg4OBgxcXFaerUqfr555/Pum0zZ87UddddV669c+fOeuKJJyRJO3bs0MCBAxUZGSmPx6M+ffpo586dla6zOn9D51MzLnEX7NEdQD0yY8YMEx4ebpYvX24OHjxotmzZYpYuXeo8caz0k3BKHhF66NAhY4wxQ4YMMQMHDjSfffaZ+eqrr8w777xjNm/ebE6fPm3eeOMN54lDmZmZ5tixY8YYY6ZOnWpiYmLMu+++a/bu3WvGjBljwsPDzY8//miM+f9POrvuuuvM1q1bzc6dO027du1Mnz59zKBBg8zOnTvNBx98YJo2bWqefvppp7ZHH33UXHXVVWbt2rXmq6++MsuWLTNut9ts2rTJZ72dO3c269evNwcPHjQ//PBDlZ/NE088Ybp06eK8HjNmjPn1r39tjDnznN7Zs2ebFi1amMzMTJOdnX3WOqr6XMo+satVq1YmIiLCPP/882b//v3mvvvuM2FhYeamm24yr7/+uvnyyy/NbbfdZtq3b2+8Xq8xxpjPPvvMNG7c2MyfP9/s37/f/Otf/zJdu3Y1Y8eOPevfwe7du40kc/DgQadtz549Pk+N2rhxo3n55ZfNvn37zL59+8z48eNNVFSUz2MRVeo579X5GzqfmnFpI6TR4OXl5Rm3222WLl1abl51vmA7depkkpKSKlx3RcufOHHCBAQEmFdeecVpKyoqMjExMWbu3Lk+y23YsMHpk5KSYiSZr776ymmbMGGCGTx4sLPeoKAgs23bNp8axo8fb+644w6f9b711lvV+GTOqCqkjTFm/vz5plWrVj7bV906yj4GsKKQvvPOO53XmZmZRpJ57LHHnLbt27cbSSYzM9MYY8zo0aPN73//e5/1btmyxfj5+Zn8/Pyzbm/nzp3N7NmzndczZ8401157baX9T58+bcLCwsw777zjtJ1rSJ9vzbh0cUwaDd7nn3+uwsJC9e/fv0bLT506Vffdd5/Wr1+vAQMG6De/+Y06d+5caf+vvvpKp06d0vXXX++0BQQE6Je//KU+//xzn76l1xMVFaWQkBC1bdvWp+2jjz6SJO3bt08FBQUaOHCgzzqKiorUtWtXn7bu3buf+4ZW07nUUR1lPwNJ6tSpU7m27OxsRUdHKy0tTQcPHtQrr7zi9DHGyOv16tChQ2rfvn2V7zdq1Ci99NJLeuyxx2SM0auvvuqzCz47O1uPP/643nvvPX333XcqLi7WyZMndeTIkXPethLnWzMuXYQ0Grzg4OBK5/n5nTltw5Q6m/nUqVM+fe6++24NHjxY//jHP7R+/XqlpKTo2Wef1ZQpUypcZ8m6XC5XufaybaXPdHa5XOXOfHa5XPJ6vZLk/PMf//iHYmNjffq53W6f16GhoRXWVhvOpY7qKPsZVNZW+nOYMGGCpk6dWm5dLVu2POv7jRw5Uo888oh27typ/Px8paen6/bbb3fmjx07Vt9//70WLFigVq1aye12q2fPnioqKqpwfdX5GzrfmnHpIqTR4MXHxys4OFgbN27U3Xff7TPv8ssvlyRlZmYqPDxckiq8DjguLk733nuv7r33Xs2cOVNLly7VlClTFBgYKEkqLi52+rZr106BgYHaunWrRo4cKenMl/bHH398XtcId+jQQW63W0eOHFGfPn1qvJ7zVZ06Kvpcass111yjvXv3ql27djVavkWLFrrhhhv0yiuvKD8/XwMGDHBG65K0ZcsWLV68WLfccoskKT09XT/88EOl66vO39D51oxLFyGNBi8oKEgPP/ywZsyYocDAQF1//fX6/vvvtXfvXt11112Ki4tTUlKSnnrqKR04cEDPPvusz/KJiYm6+eabdcUVVygnJ0fvvfees3uyVatWcrlc+vvf/65bbrlFwcHBaty4se677z499NBDioiIUMuWLTV37lydPHlS48ePr/F2hIWF6cEHH9T9998vr9er3r17Ky8vT9u2bVPjxo01ZsyY8/qcarOOyj6X2vDwww/ruuuu06RJk3TPPfcoNDRUn3/+uVJTU7Vw4cJqrWPUqFFKSkpSUVGR5s+f7zOvXbt2evnll9W9e3fl5eXpoYceqnJvTLt27c76N1QbNePSxCVYgKTHHntM06dP1+OPP6727dvrd7/7nbKzsxUQEKBXX31VX3zxhbp06aJnnnlGTz31lM+yxcXFmjRpktq3b6+bbrpJV155pRYvXixJio2N1ZNPPqlHHnlEUVFRmjx5siTp6aef1m9+8xuNHj1a11xzjQ4ePKh169Y5I62a+s///E89/vjjSklJUfv27TV48GC98847atOmzXmtt7brqOxzqQ2dO3fW5s2bdeDAAf3qV79S165d9dhjj6l58+bVXsdvf/tb/fjjjzp58qTP3dUk6aWXXlJOTo66du2q0aNHO5fSVaY6f0O1UTMuTS5T+kAJAACwBiNpAAAsRUgDDVzHjh3VuHHjCqfSlwRdCrZs2VLpttbWMXGgNrG7G2jgDh8+XO6SoBJRUVEKCwu7yBVdOPn5+crIyKh0PmdXwzaENAAAlmJ3NwAAliKkAQCwFCENAIClCGkAACxFSAMAYClCGgAASxHSAABY6v8BCaFZH50kEGMAAAAASUVORK5CYII=", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.displot(numerical['monthly_premium_auto'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 180, + "id": "9a86e7d8", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.displot(numerical['months_since_last_claim'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 181, + "id": "cd259ecb", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.displot(numerical['months_since_policy_inception'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 182, + "id": "97895740", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.displot(numerical['number_of_open_complaints'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 183, + "id": "cb87a19c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.displot(numerical['number_of_policies'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 184, + "id": "873986e0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.displot(numerical['total_claim_amount'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 185, + "id": "4c53e526", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.displot(numerical['month'])\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "2c170f7b", + "metadata": {}, + "source": [ + "Use Matplotlib to construct histograms" + ] + }, + { + "cell_type": "code", + "execution_count": 186, + "id": "9fdc28da", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['customer_lifetime_value', 'income', 'monthly_premium_auto',\n", + " 'months_since_last_claim', 'months_since_policy_inception',\n", + " 'number_of_open_complaints', 'number_of_policies', 'total_claim_amount',\n", + " 'month'],\n", + " dtype='object')" + ] + }, + "execution_count": 186, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "numerical.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 187, + "id": "e29c7c29", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(df['customer_lifetime_value'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 188, + "id": "1f514daf", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(df['monthly_premium_auto'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 190, + "id": "e4b41d92", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(df['months_since_last_claim'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 191, + "id": "44445b5e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(df['months_since_policy_inception'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 192, + "id": "4449b1c5", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(df['number_of_open_complaints'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 193, + "id": "72fc79b4", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(df['number_of_policies'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 194, + "id": "b19b82fc", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(df['total_claim_amount'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 195, + "id": "5d85d963", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(df['month'])\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "4f4a2ac1", + "metadata": {}, + "source": [ + "Do the distributions for different numerical variables look like a normal distribution\n" + ] + }, + { + "cell_type": "markdown", + "id": "82e18488", + "metadata": {}, + "source": [ + "it doesn't look like a normal distribution maybe a bit this one:" + ] + }, + { + "cell_type": "code", + "execution_count": 196, + "id": "be2328b6", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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customer_lifetime_valueincomemonthly_premium_automonths_since_last_claimmonths_since_policy_inceptionnumber_of_open_complaintsnumber_of_policiestotal_claim_amountmonth
customer_lifetime_value1.0000000.0243660.3962620.0115170.009418-0.0363430.0219550.226451-0.006096
income0.0243661.000000-0.016665-0.026715-0.0008750.006408-0.008656-0.3552540.000169
monthly_premium_auto0.396262-0.0166651.0000000.0050260.020257-0.013122-0.0112330.6320170.011467
months_since_last_claim0.011517-0.0267150.0050261.000000-0.0429590.0053540.0091360.007563-0.020921
months_since_policy_inception0.009418-0.0008750.020257-0.0429591.000000-0.001158-0.0133330.0033350.011010
number_of_open_complaints-0.0363430.006408-0.0131220.005354-0.0011581.0000000.001498-0.014241-0.006335
number_of_policies0.021955-0.008656-0.0112330.009136-0.0133330.0014981.000000-0.0023540.009305
total_claim_amount0.226451-0.3552540.6320170.0075630.003335-0.014241-0.0023541.0000000.006820
month-0.0060960.0001690.011467-0.0209210.011010-0.0063350.0093050.0068201.000000
\n", + "
" + ], + "text/plain": [ + " customer_lifetime_value income \\\n", + "customer_lifetime_value 1.000000 0.024366 \n", + "income 0.024366 1.000000 \n", + "monthly_premium_auto 0.396262 -0.016665 \n", + "months_since_last_claim 0.011517 -0.026715 \n", + "months_since_policy_inception 0.009418 -0.000875 \n", + "number_of_open_complaints -0.036343 0.006408 \n", + "number_of_policies 0.021955 -0.008656 \n", + "total_claim_amount 0.226451 -0.355254 \n", + "month -0.006096 0.000169 \n", + "\n", + " monthly_premium_auto months_since_last_claim \\\n", + "customer_lifetime_value 0.396262 0.011517 \n", + "income -0.016665 -0.026715 \n", + "monthly_premium_auto 1.000000 0.005026 \n", + "months_since_last_claim 0.005026 1.000000 \n", + "months_since_policy_inception 0.020257 -0.042959 \n", + "number_of_open_complaints -0.013122 0.005354 \n", + "number_of_policies -0.011233 0.009136 \n", + "total_claim_amount 0.632017 0.007563 \n", + "month 0.011467 -0.020921 \n", + "\n", + " months_since_policy_inception \\\n", + "customer_lifetime_value 0.009418 \n", + "income -0.000875 \n", + "monthly_premium_auto 0.020257 \n", + "months_since_last_claim -0.042959 \n", + "months_since_policy_inception 1.000000 \n", + "number_of_open_complaints -0.001158 \n", + "number_of_policies -0.013333 \n", + "total_claim_amount 0.003335 \n", + "month 0.011010 \n", + "\n", + " number_of_open_complaints number_of_policies \\\n", + "customer_lifetime_value -0.036343 0.021955 \n", + "income 0.006408 -0.008656 \n", + "monthly_premium_auto -0.013122 -0.011233 \n", + "months_since_last_claim 0.005354 0.009136 \n", + "months_since_policy_inception -0.001158 -0.013333 \n", + "number_of_open_complaints 1.000000 0.001498 \n", + "number_of_policies 0.001498 1.000000 \n", + "total_claim_amount -0.014241 -0.002354 \n", + "month -0.006335 0.009305 \n", + "\n", + " total_claim_amount month \n", + "customer_lifetime_value 0.226451 -0.006096 \n", + "income -0.355254 0.000169 \n", + "monthly_premium_auto 0.632017 0.011467 \n", + "months_since_last_claim 0.007563 -0.020921 \n", + "months_since_policy_inception 0.003335 0.011010 \n", + "number_of_open_complaints -0.014241 -0.006335 \n", + "number_of_policies -0.002354 0.009305 \n", + "total_claim_amount 1.000000 0.006820 \n", + "month 0.006820 1.000000 " + ] + }, + "execution_count": 197, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "correlations_matrix = numerical.corr()\n", + "correlations_matrix" + ] + }, + { + "cell_type": "code", + "execution_count": 198, + "id": "5980df82", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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o3Lgx3t7etGvXjgEDBjBw4ED69+8vrbuBAwdKp6rcu3cPBwcHunbtyt27d9m9ezeXLl1i7NixeW5Pv379uHbtGkFBmZcwHzx4wL179+jXrx8Ar169YtCgQVy8eJGrV69iY2ODo6Mjr169+uR6/JyYvxfKqsqUqmLFw4t3ZZY/vHiHsrXLy81jWbM8Dy/ekU1/4Q6lq1qhpKIsN4+apjpKqiq8jZPtQPeYP5QHZ73xv3zvM7YiGxUV1CvZ8M7rlszit1630KheSWE2nc72qJYy5+X6HYUWirKqMqWrWOGXrb78Lt7Fqrb8TkPZmjb4Zdsfvhd8KJNL/eaHpk4xAN5k2Qcf4/MtQHxW+YjPqmZ5fHOkuYNVRodUSUUZZRXlHCO7H94nUa5uRel7iUTCkF9cOLXxEBG5XN43LmWKvokB9y76SJclJyXz8NoDbBRsB6SPXN+74COz7O4Fb2xqV5SbXqKkRIMOjVHX1CDg9iNpjDVa1CbycQRTfp/F2ltbmXtgMbXt6+XIX9THW1YaGe0htzTySFSV0a9WVmZKB0D0+XsY1pW/DTlXIkFFS4OkOMUDGcZNKqNtbU7s1by/6BqVMkHfxIAHWeopOSmZR9d8sc5l/6e3U9m6fXDhDta10vMoq6pQpoqVzHoBHly8Q7mM9UokEqr9UIuoxxFM+H0mK25uZsaBRdSwr5tn3F9UWmrhvL5D3/Wc61evXrFq1So8PDwYNGgQAOXKlaNJkyacO3cuz/whISF069aNqlXTv5lbWWV++zY0NATAxMREOpXizZs3rF+/nm3bttG2bVsAfvvtN06dOsXmzZuZPHmyNP+CBQto3Dh95HDo0KFMnz6doKAgaRndu3fn7NmzTJ06lTdv3rBixQrOnDlDw4YNpbFcunSJDRs20KxZM+l63d3dad269adUlww9PT10dHRQVlbGzMxMun15xSGvXhRxdHRk5MiRAMyePZv169dTt25devToAcDUqVNp2LAhUVFRmJmZ8fPPP9O3b1/pCLiNjQ2rV6+mWbNmrF+/Hg0NxZfmqlSpQrVq1fjzzz+ZNWsWADt37qRu3bqUL59+sm7RooVMng0bNmBgYMD58+dp3z730UhFPifm74WWgS7KKsq8ipEdYXsVE4+Okb7cPLrGenLTK6uqoG2gQ0JMXI48Haf2JT7yBY+ydKJrdWhEqcplWdZpxmdvR1bKBrpIVJRJfi4bR8rzOJSNck45AFAtXQLDiU6ED3SDlML7g6KtoH4TYuLRVVi/+iQUsH7zo9vMQQRe9yPCP3MOsqL4XsXEo5dLfHnt//Q0cdnSpC8HSHzznqBbj3Ac143IwGckxMZRt2MTLGtYE/M4UprHflQnUpJTOLv1WK7bpm+Svt74bGXGx8ZhZKF4KpC+sT7xsbLbEh8bj15GnB+VrFCauZ6LUFVX4/2b96wcuUQ6l1fXSA9NbU3aj+rC3mV/8tfiP6jerCbjN0xhYe/ZPLzmK11PUR5v2XWZOZCgbO0hP9QNdVBSUeZ9tpgSY+LRMNbL1zpsRrVDuZg6zw5dlVmuoqOJo89alNRUSEtJxWf6VqIv5H2fhJ5x+nGdvS4SYuIoXlLx/tcz1s/ZZrK0U20DHZRVlHMcjwlZjg8dIz00tDVpO6ozB5b/xb7FO6jSrAajf53Msj5z8c+y//9T4jnXCn3XnWs/Pz8SExNp2bLlJ+UfN24co0aN4uTJk7Rq1Ypu3brlOhocFBTEhw8fpJ1mAFVVVerVq4efn+w346zrMTU1pVixYjKdd1NTU65fT7/hwdfXl/fv3+foNCclJVGzZk2ZZXXq1Cn4huZTQeLIj+x1AEi/yGRdFh0djZmZGbdu3SIwMJCdO3dK06SlpZGamsrjx4+xtbXNtbx+/fqxZcsWZs2aRVpaGrt27ZKZqhIdHc3s2bM5c+YMUVFRpKSk8PbtW0JCQgq8bR99SsyJiYkkJibKLFNKTERdveDzFr8maaTJvJdIJJBtWa4kErnrAWg5siO1OjZmTe95JGeMVOqbF6fr7EGsG7hQuqzQpWWLRSKRv0lKSpgsncbLtX/w4emzLxNKjvqVX1dZc+TIIG95PvVyH4qFbWmWd5+dr/jII76c6XPGlyN3tja1baIHA34exeLrG0hJTiH0/mNuHLxM6SrpN3yVrlKWH4Y4sqjd1BzlN+rcFKeFI6Xvlw35SW6cEkX7XGZjcrb9tGzLIoLD+bGtG8V0tajbtgEjl7uwoNcswgPCMo4VuH3qOsc3p99oGeL7BJvaFWnZz0Gmcy0t8j8+3rLr4e5ECdvSrOo+J/9lZpe96HxuQsnODbGd1JUrg1aQGJsg81ny6/ecbjkdFS0NjO0qU3Vuf948jSbWS/ZvdKmujan581Dp+xVOCzNiklOv2c8DeWyIvH0h//jNmh58Tt3gVMb+D/V9QrlaFWjWz77oOteCQt9151pTU1PhZ0pK6TNisp7gPnyQPUkMGzYMBwcHjhw5wsmTJ1m0aBHLly/HxcVF7jo/rksi/SOQuTz7sqxPzpBIJDmepCGRSEjNmOj/8d8jR45gYWEhky57h0tLS0tubIWhIHHkR/Y6ULQsaz2MHDmScePG5VhX6dKl8yyvb9++TJs2jdu3b/Pu3TtCQ0Pp3bu39PPBgwcTExPDypUrKVOmDOrq6jRs2JCkpCS568tPG/qUmBctWsS8efNkls2cPI7ZU8bnuY1fozcvE0hJTpGO1HykbaTLq2wjeh8lxMSjk22ESsdIl5QPybx5KXuJucXw9rQe05m1/RYQ/jDzi1CpqmXRNdZn8j+LpMuUVZQpV88Wu4EOuJbvR1rqp3UkU14mkJacgoqRAVm/Bikb6pHyPOfNf0pammhUqYB6RWuMZozJWChBoqSElc9RIkZM5931Ozny5cdrBfWrY6SXS/3GyUmfXr+vXxZ8XnrPuUOo1qo2K3rOyXFDYG7xJXxGfPLT6MmMAMaGRPFLr7moaaqjoa1JQkwcQz0mEBsaDYB1PVt0iuvyk9c6aR5lFWX6zRzEi4gX/NjWTbpcRS393KRnrE9clhs8dYvrER8bp7Bu4mLicoxS6xbXzbHtKR+SiXqaPqL++F4QVtWtaTOkPVtm/Mqrl69I/pDMs2zTVp4FhlGhruwX9KI63rLqNncIVVrVZlXPubneIKpI4otXpCanoGEiG5O6kR7vFWzDRxadGlBrxQiuj1hFzEU5I9Jpabx5EgVA/IOn6NpYUMGlU47OdcSJW7y4HSh9/1on/Vyha2IgMxKdWzuG9FHqj6PeH+lmaaevX74iJTklRxtJX2+cNE3yh+QcTyWJCHqGTR3504v+E9/plI7C8F13rm1sbNDU1OT06dMMGzZM5jNj4/TLOBERERgYpDd8ec9xLlWqFM7Ozjg7OzN9+nR+++03XFxcUFNTAyAlJfOyiLW1NWpqaly6dIm+ffsC6Z2tmzdvftYznitVqoS6ujohISEyU0D+a/mJQ169FJZatWrx4MEDrK2t804sR8mSJWnatCk7d+7k3bt3tGrVSmb+/cWLF1m3bh2Ojo4AhIaGEhub8xFXH+WnDX1KzNOnT8fV1VVmmdKrLzPa+V9I+ZBC6P1gKjSpxt0sj0mr2KQa907dlJvnibc/VVrWlllW0a4aIfeCSU3ObFstRnTAYWxX1g9aSOi9YJn0/pfvs8h+ksyyvj+PIjroGf/+euiTO9YAJCeT6BuAZsNavDntJV1crGEt3py9kiN56uu3hHYeIbNMt3cHNOvVIMp1Ph+eRebIk18pH1IIuR+MbZNqMo+hq9ikGndP3ZCb57F3AFWz1a+tXXWeZqvf/Og5z4kaDvX4pfdcnofF5Ds+2ybVuKMgvmDvAKpli69StviCvf2xbVKVM5uPZElTjeDb/jnWl/QukaR3iRTT1aJS0+p4Lkqf835t/wUeXpKd1uDy+49c3H+OC3vOSDu7H8VFv6RKk+o8ffAYSJ8vW7F+ZXYv/kNh/QTe9qeKXXXpiDNA1aY1CLil+LF4kD64oKKW/ic65UMywXcDMbcqIZPGvGwJYp9FyywrquPto+7zhlDNoR5res/jhZz2kB9pH1KIu/sYk2ZVCT+WGbNJsypEHL+lMF/Jzg2p/ctIro/yIPJfn/wVJgEl9ZxdoeQ370l+8176Plwjibjol1RuUo3QLPu/Qv1K7F2s+B6KYG9/KjWpJh1xhvS2HJgxnz7lQzJP7wdTqUk1mcfzVWpSDZ+M4yPlQzJP7gZhlm3/m5Y15/mzT6vjQvGdPumjMHzXnWsNDQ2mTp3KlClTUFNTo3HjxsTExPDgwQMGDhxIqVKlmDt3LgsWLCAgIIDly5fL5J8wYQJt27alfPnyvHz5kjNnzkgv45cpUwaJRMLhw4dxdHREU1MTbW1tRo0axeTJkzE0NKR06dIsXbqUt2/fMnToUHkh5ouOjg6TJk1i4sSJpKam0qRJExISEvDy8kJbW1s6n/xLy08ciuqlMEydOpUGDRowZswYhg8fjpaWFn5+fjlu/sxNv379mDt3LklJSfzyyy8yn1lbW/PHH39Qp04dEhISmDx5cq5XP6ytrfNsQ58Ss7q6eo4rAR+SFHfyC+rt23eEhIVL3z8Lj+KhfxB6ujqYm5kUWjlZnd10hAErxhJ6N4jHtwNo1LclBiWMuJTx3OIOU/qgZ2rIDre1AFzacQq7gQ50mTkAr11nKFvLhgY9W7B9XOYNsi1HdqSda0+2j1/N87Bo6chb4pv3JL1NJPHN+xxzPZPevedN3OsCzwGVJ+73/ZgumkziA3/e3/FDt7sjKuYmJOxO7+wZThiCiokR0TN+hrQ0kgJlHwOY8iKOtKSkHMs/xZlNhxm0woWnd4N5fNufxn1bYVDCSPpc6E5T+qBvasj2jPq9uOMkzQY60G3mQC7vOk3ZWuVp1LMFW7LUr7KqMuY2JTP+r4K+qSElK5Uh8c17Yp6mj/z1nj+UOp2asGH4UhLfvEM3Yx+8S3grcyPh6U2HGZwlvib5iK95HvGd3XIU17/nYe/ciTunblC9dV0qNq7Ksh6Z01Jsm1ZHIoGooHCMLc3oOmMAUcHheO05B6TfePkm2812KcnJxMXEEREcTnbHNx+m45huRD1Jf6pHx7FdSXqfiNfBC9I0I1eM42Xkc/5emj4V7MTWw8z8ewHtnbtw69R1areuR+XG1Zjf/Udpnp6T+3Hn3G2eR8SioaVJw45NsG1QmaUDF0jTHN1wkLEerjy85ovflftUa16Tmq3q8FOvWTniLIrjDdJvHq7dqTGbhv/M+zfvpGneZ2sP+RGw4Sh114zm5Z1gXtwMwLJ/C4pZGBH8+2kAKs/ohYa5Ibdc1gPpHes6a0Zxd9bvvLgVgHpG2Snvk0h+9Q6A8i4dibsTzOsn0SipqWDWsgale9jhM3VLvmL6d8sRHMd0JepJBFGPI2g3pitJ7xK5djDzyVxOy12Ii3rO/qV/ZuQ5ypS/3Wnj3BmfU9ep0boeto2rsqRH5n47tekfhq5w4cndYIJvP6Jp39YYljDi3M6T0jQnNh5k5JqJ+F/349GV+1RuVoPqLevwc+/MaTe6xvroGetjUsasQHUtFL7vunMNMGvWLFRUVJg9ezbh4eGYm5vj7OyMqqoqu3btYtSoUVSvXp26deuyYMEC6c10kD76OmbMGMLCwtDV1aVNmzbSDpmFhQXz5s1j2rRpDBkyhIEDB7Jt2zYWL15MamoqAwYM4NWrV9SpU4cTJ05IRzY/1fz58zExMWHRokUEBwejr69PrVq1mDGjcG/U+tw4FNVLYahWrRrnz5/nxx9/xM7OjrS0NMqVK0evXr3yvY4ePXrg4uKCsrKyzK9RAmzZsoURI0ZQs2ZNSpcuzcKFC5k0aZL8FUG+2lBhxFzY7j8MwMklc47p0jUbAejUthU/zXRTlO2zeB++gpa+Dg7ju6FnbECEfyi/DlnMy2fpXxp0TfQxyPL82hdhMWwYspguswZhN8CB+OiX7Ju3lTvHM0d2mgxojYq6KkN/lY352Mo9HFu5ly/tzfHzxOrpYODcDxVjQ5ICnhIxaibJEekjicpGhqiY5/7M68JyK6N+Hcd3QzejftcNWcQLaf0aYGCR+czc52ExrBuyiG6zBtE0o373zNuKz/HMHzbRMzVkxtGfpe9bj+xI65Ed8b/6gJW906ctNR3gAMDE3bLTmH6ftJarezOfZPQxvnZZ4lubJT49EwMMs8W3dsgius8aRLOM+P6etxXvLPEF3/Zns8tKOk7qTQfXXsSERLJp7Eqe+GReytfUKUbnKX3QNyvO2/jXeB+7xsFluwo8Ov/R4V89UdNQY/CCERTT1SLIJ4Al/d15n2WE06iEEWlZRvQCbj3Cw2UFPdz60N2tN1EhUXiMXU6QT+bj0nSN9XD+ZTz6Jga8ffWW0IdPWDpwAfcvZU4VunniGlt+3EDH0V0ZOG8oEUHhrHJeiv/NnCPgRXW82Q1If3TcuN1zZdLsmLSO61naQ348O3gVdQNtKrp2Tf8RmYdhXO63lHdh6dugYapPsSzbUHZgS5RUVaix2Ikai52ky5/uPs+t8RsAUCmmTo3FTmiaG5LyPolXgeHcGLuOZwdlb3pU5PivB1DTUKPf/OFo6WkR7BPAigHzScyy/4tbGMn8uErQ7UdsdPmFzpP60Nm1FzEhUWwc+wuPs+z/G4e90NLXocP47ugZGxDuH8KqIQulxweA94nr/PHjbziO7kKfuUOIDA5n/ahlBGbZ/8372dNxQs/8VvHnE9NCFJKkZb+rQhCEr86HWPmXYL9WbnWmF3UIBTJeO66oQyiQ5a/z98SEr8W39kfmVVrBfoDra2Ao+bZ+Abf5+09/5GNROKoh/96br9WmJ19+gCHx7olCWY96NYdCWc/X5LsfuRYEQRAEQRAKV1qaeBSfIt/9j8j8P6tcuTLa2tpyX1kfDfc9uHjxosJtLaw534IgCIIgCHkRI9ffsaNHj+Z4NNxH+f2Vym9FnTp15D7tRRAEQRCEL0DMuVZIdK6/Y2XKlCnqEP4zmpqan/yIPkEQBEEQCkg8ik8hMS1EEARBEARBEAqJGLkWBEEQBEEQCkZMC1FIdK4FQRAEQRCEgkkVTwtRREwLEQRBEARBEIRCIkauBUEQBEEQhIIR00IUEp1rQRAEQRAEoWDE00IUEtNCBEEQBEEQBKGQiJFrQRAEQRAEoWDEtBCFROdaEARBEARBKBgxLUQh0bkWBEEQBEEQCkZ0rhUSc64FQRAEQRAEoZCIkWtB+Aa41Zle1CEUyPKbi4o6hAIZUWdyUYdQIKl8Wz/eoPaNjePoSL69P41vv7E20fPFpaIOoUCGlmhU1CF8ddLSvq0291/69s4ggiAIgiAIQtES00IU+raGEwRBEARBEAThKyZGrgVBEARBEISCEY/iU0h0rgVBEARBEISCEdNCFBLTQgRBEARBEAShkIiRa0EQBEEQBKFgxLQQhUTnWhAEQRAEQSgYMS1EITEtRBAEQRAEQRAKiRi5FgRBEARBEApGTAtRSIxcC4IgCIIgCAWTmlo4r0+wbt06ypYti4aGBrVr1+bixYu5pt+5cyfVq1enWLFimJubM2TIEJ4/f/5JZeeH6FwLgiAIgiAIBVNEnevdu3czYcIEfvzxR7y9vbGzs6Nt27aEhITITX/p0iUGDhzI0KFDefDgAXv27OHGjRsMGzbsc2tAIdG5FgRBEARBEL4JK1asYOjQoQwbNgxbW1tWrlxJqVKlWL9+vdz0V69exdLSknHjxlG2bFmaNGnCyJEjuXnz5heLUXSuBUEQBEEQhIJJSy2UV2JiIgkJCTKvxMREuUUmJSVx69Yt7O3tZZbb29vj5eUlN0+jRo0ICwvj6NGjpKWlERUVxd69e2nXrl2hV8lHonMtfLOaN2/OhAkTijoMQRAEQfj/U0jTQhYtWoSenp7Ma9GiRXKLjI2NJSUlBVNTU5nlpqamREZGys3TqFEjdu7cSa9evVBTU8PMzAx9fX3WrFlT6FXykXhaiPDN2r9/P6qqqkUdRpFp0t+eliM7oGuiT6R/GPvctxN846HC9Nb1bekycyBm5UsSH/WS0xsOcXnnv9LPG/ZuQb2uTTGvUAqA0HuP+efnXYTcCZK7vtajO9NhSh/ObTnKfvfthbtxWdz0ucfWP/fi+zCQmOcvWLVoFi2bNvpi5WXVaUJPmvVpjZaeFsE+AfwxaxPhAaG55qndpgFd3HpjUtqM6JBI9i/7k9snrks/L1+vEm1HdKJMVSsMTA1ZPWIJ3ievy6xj65N9cte9e+HvHN94MNfyO0/oSfOMmIMyYn6WR8x12jSga5aY9y37k1tZYm4/ugu1HRpgXs6CD++TCLj9iL8X/0FkcLg0zXYFMb979RZlVRUe+wTw56xNhAeE5RpLrTb16eTWG+PSpsSERHFg2S68T8jWT/P+9jiM7ISeiT7h/mHsdt9KQLa232FCD5r2aUUxPW25Zesa69N9+gAq2VVDQ0uDyOBwjq715PaxqwA07W9PmzFd0DMxIC0tjeSkD4T5PuHQ8t34X3mQI26b+rZ0nzkI84zj6+SGQ1zceUomTc029eng1guj0qbEhkRxcNku7py4IZNGz9SALtP6U7l5DdQ01Ih6HMGOKesJuf84R5l9Fw7Hrm9r9rhv48SWw3Sc0DNjm7V47BPIzlm/5au+O7v1xri0GTEhkXjKrW8HHEZ2RN/EgHD/UP5y30bADT/p5+rFNOg2tR817OuhbaDN87AYTm87yrkdJwEoXtKYJZdkL9lvyvi3V5+R7Nt3WGF8s2e5MmxoPwwM9Lh+3RuX8T/i6+uvMH3nzm2ZNtUF63KWqKqqEhD4mF9WbmDnTtn2WaKEGYsWzqCNQws0NTXwDwhmxAg3bnvfA8B55CDcXJ0xNzfhga8/ZxbtITCX86tN/Ur0mDmIEuVLEhf1kpMbDnJBzv7vmKVtH1y2C59sdd2svz32Wdr23+5bZcqt6VAPu36tKVPFCm1DXeY7TibM94n08+IljVl4aZ3COL9G06dPx9XVVWaZurp6rnkkEonM+7S0tBzLPvL19WXcuHHMnj0bBwcHIiIimDx5Ms7OzmzevPnzgldAjFwL3yxDQ0N0dHSKOowiUbN9Q7rOHsRJD0+WOk4j6MZDRm2bjkGJ4nLTG5Y0ZuTW9HRLHadxau0Bus0ZQvU29aRpbBpU5tYhL9b0cWdF11m8DI9l9B8/omdqkGN9pauVo1Gfljzze/rFtvGjd+/eU8Haihmuo794WVk5OnfGYWgHds7ehHvHqcTHxDFpx2w0tDQU5ilXqzyjPFy54nme2Y5uXPE8zygPN6xq2EjTqBdTJ9TvCTtnb1K4nvF1h8q8Nk/2IDU1lVsZHb/cYm4ztAN/zN7E3IyYJ+cj5tEernh5nmeWoxtenucZnS3mCvUrc/qP48zvMp2lA+ahrKzE5N9no6aZ+QdwXN2hMq/rR7xIS0tj9+Id/NRxGvExcUzcMQv1XGKxqlWeER4Tuep5HnfHSVz1PM8Ij4mUrWEtTVOnfSN6zR7CEY99uDtOIeCGH+O2/YhhCSNpmjbOnWg9tD1/zt6ssOyhK1wwsyqBx7AlzHVww/v4NUZ6TKRUZUtqt29Ij9mDUVZRJvDGQ27+cxkkEmKeRjF681R0jfVk4i5e0pgxW6cTeMOPhY5TOb7Wk55zhlCzTX1pmrK1bBjqMYFrnhf4yXEy1zwvMNxjIpZZtq2YrhaT980nJTkZj8ELmdfalX0LfudtwtscdVXdvi6WNWyIi3yRsc2dpdu8IGObXXfMzrO+R3q4csXzAvMc3bjieYGRHq6UzbLv67ZvRO/ZgznqsR93x8n43/Bj/LYZMvXda9ZgqjSrweaJq5nVagKnNh+mz9yh1GhdF4AX4c9xrTtM5jV33s+8fv2G48fPKIxv8qTRTBg/gnETZtKgUTsio2I4fnQX2tpaCvO8fBHHosWradK0IzVrt2L79t1s/m0F9q2bSdPo6+tx4dwBPnxIpn2H/lSt3pwpU9yJi08AoEePjqxYPpdFi1dTp54Dly5dx2Xbjxhk2easipc0wSVj/y9wnMKxtfvpNcdJZv9b1SrPcI+JXPM8z3zHSVzLaNuW2dp2z9lDOOqxjwWOUwi84ZejXLViGgTdfMT+JTvlxvIi/DmT6w5XWD+FqpCmhairq6OrqyvzUtS5NjIyQllZOccodXR0dI7R7I8WLVpE48aNmTx5MtWqVcPBwYF169axZcsWIiIiCr1aQHSuhW9Y1mkhlpaWLFy4ECcnJ3R0dChdujQbN26USR8WFkbv3r0xNDRES0uLOnXqcO3aNenn69evp1y5cqipqVGhQgX++OMPmfwSiYQNGzbQvn17ihUrhq2tLVeuXCEwMJDmzZujpaVFw4YNCQqSHen9559/qF27NhoaGlhZWTFv3jySk5M/a9t/GNaOq3+f4cruM0QFPWO/+3ZeRjynSX97uemb9G/Ny/Dn7HffTlTQM67sPsPVPWdpMaKDNM3vE9ZwacdJnvk+JToonF3TNqAkkVC+cVWZdakVU2fgyrHsmraRt/GvP2s78sOuYV3GjRhE6+aNv3hZWbV2as/htfu4deIaz/xD2eS2BnVNdRp0slOYx96pPQ8u3eHIOk8ig55xZJ0nfl73aO3UXprm3jlv9i/fxa0T1xSuJyEmTuZVs3U9Hl65T0xoVK4xOzi151CWmH9zW4NaHjE7ZMR8eJ0nEUHPOLzOE1+vezhkiXn5oAVc2nuWZwGhhPo9ZdPktRiVNKZs1XLSNPExcTKvmq3qEP00krM7TxDuH8pWNw/UNNWp36mJwlhaObXD99Jdjq07QGRQOMfWHeCh131aOWXOjWw9rD2X/j7Dpd1niAx6xm73bbyMiKVZlrbf0qkdR9fux/vEdYVlW9Uqz5ntx3hyJ5DY0GiOeOznbcIbylS2ouWw9lw/eBFdY33+Wf4X2yZ68OJZDK9fJKBeTANzm1Iycdv1t+dFeCx73LcTGfSMy7vP4LXnLK2yHF8tnNrx8NJdTqw7QFRQOCcytq1Flm2zH9WJl+HP+WPyep7eCeJFWAyPvO4TGyK73/VMDeg1z4mt41eTknEuaeXUjiNr93P7xDXC/UPZkrHv6+ey71tL69szo749eeh1L1t9d+DS32e4uPs0EdL6fk7zLPVdrlZ5vPad59HVBzwPi+HCrn8J83tCmYz2kZaamqNNd+rUlr/3HOLNm5xfHD4a5zKMRYtXc+DAMR48eMQQpwkUK6ZJn95dFOY5f+EKBw8e5+HDQIKDn7LGYzN37/nRuHHmQMKUyaMJCwtn2HBXbtz04enTMM6cvURwcPpgwcTxw9my9S+2bN3Fw4eBuE2ak6ONZdWsf2tehMfyt/s26f6/vOcM9iM6StO0dGqH36W7HM/Y/8cz9n/LLHXdalh7Lv99hssZbftvOW37mucFjqzey8PL9+TG8rGu/xNF8LQQNTU1ateuzalTslcFTp06RaNG8q9ovn37FiUl2e6usrIykD7i/SWIzrXw3Vi+fDl16tTB29ub0aNHM2rUKB4+TL+c9vr1a5o1a0Z4eDiHDh3izp07TJkyhdSMA9vT05Px48fj5ubG/fv3GTlyJEOGDOHs2bMyZcyfP5+BAwfi4+NDxYoV6du3LyNHjmT69OnSO4/Hjh0rTX/ixAn69+/PuHHj8PX1ZcOGDWzbto2ffvrpk7dTWVWZUlWseHjxrszyhxfvULZ2ebl5LGuW5+HFO7LpL9yhdFUrlFSU5eZR01RHSVWFt3GyHege84fy4Kw3/gpO7t8D41Km6JsYcD9LnSUnJfPo2gOsa1dQmK9czfI8yFbP9y/4YF1LcZ686BrpUe2HWlzcffqTY7bJJWbrmuVl8uQnZk2dYgC8jnsl9/Oy1a1RVVfjwt+ZMScnJeN/zZdyucRiVbM8vtlieXDBh3IZsSirqlCmilXONBfvStdrVMoEfRMDmf0gr+zAmw+p274RxfS0kUgk1O3QCBU1VQJvPqR0FSvu/nuTiIAw6ndthpqmOg8v3aO6fT3iY+IIuR+cLW4b/LIdj74XfCiT5fhK37bsae5gVSvzmK3Wqg5P7wUzbO1Elt78jRlHltC4d0uZPBKJhCG/uHBq4yEiMqZ8aOlry93mR9d8c22v8uv7jnTff6zv7G36wcU7MnUZcPMh1VvVQd/UEIAKDStjWrYEDy74yC23TBUrataowtatfymMrWzZ0pibm3Lq3/PSZUlJSVy4eJWGDesozJddix+aUKF8OS5ezLzq0769Pbdu3eWvXRsID7vDjesnGOrUFwBVVVVq1aomUy6Ab5Y2lp2ifZtz/+fetkvLadu5lfv/ytXVlU2bNrFlyxb8/PyYOHEiISEhODs7A+nTTAYOHChN36FDB/bv38/69esJDg7m8uXLjBs3jnr16lGiRIkvEqOYcy18NxwdHRk9On3qwNSpU/nll184d+4cFStW5M8//yQmJoYbN25gaJj+B8DaOvNy3LJlyxg8eLA0v6urK1evXmXZsmX88MMP0nRDhgyhZ8+e0jIaNmzIrFmzcHBwAGD8+PEMGTJEmv6nn35i2rRpDBo0CAArKyvmz5/PlClTmDNnzidtp5aBLsoqyryKiZdZ/iomHh0jfbl5dI315KZXVlVB20BH7khHx6l9iY98waMsnehaHRpRqnJZlnWa8Umxfyv0jPUBctRLfEw8RiWNc82XPU9CTJx0fZ+icbfmvH/zjpu5jHR/LPtjebLlx1M8j5jjc2xn7jH3nTmYR9d9eeYvfy53k27NAbj6z2U5sci/tP4xloRs7TQhJh7djFi0DXRQVlHOsY2vYuLQy2j7mfWQcz1Zy9449hdGeExk1Z2tJH9IJuldEutG/sy71++kx9eq/vMZ9dsUfnmwHdLSR7kWd5zGu2zTNHSN9fM8vtLT5IxbN0s9G5U2oWn/1pzedITj6zyxrG5Nz7lDSE76wLX9F4D00e2U5BTObj0mzaehrZmxjbLrT4iJ+6R9n7O+c9alXpZzza65Wxi02Jll1zaS/CGZtNQ0tk9bT+BN+XOUm/Rqga+fP1euKn4UmpmpCQBRUbEyy6OiYihTuqTCfAC6ujqEPLmFuroaKSkpjHWZwb+nM39kxKpsaUaOHMDKVb+xeMlq6tapycpf3ElMSuL06YuoqKgQna3cVzFx6Co8v+bctwkxcTn2/6e2bUXlFrki+oXGXr168fz5c9zd3YmIiKBKlSocPXqUMmXKABARESHzzOvBgwfz6tUrPDw8cHNzQ19fnxYtWrBkyZIvFqPoXAvfjWrVqkn/L5FIMDMzIzo6GgAfHx9q1qwp7Vhn5+fnx4gRI2SWNW7cmFWrViks4+P8rqpVq8ose//+PQkJCejq6nLr1i1u3LghM1KdkpLC+/fvefv2LcWKFcsRS2JiYo7HEKWkpaAskR1hTkP2clb6zRwFuMSVcfNH9vUAtBzZkVodG7Om9zySEz8AoG9enK6zB7Fu4ELpsu9Fg052DFo4Uvp+pdNCIOclQ4kk78uIOT4t6H7Jxq5nS64euJijzht2smNwlphXKIiZfMScnUQikdsuAAa4D6OkbRl+6v6jwlheZ1zt+PA+SU4seZWes86zL5NXxznilVsPmW87u/WmmJ4Wy/vO4/XLV9S0r4vzOlfWj1yWUUYafRYM49XzeJb3mEPdTo2p16kJozdPY3HH6Tk6QTnKl95clZYlTc64sy6VSJR4ei+Igz/vAiDswRNK2JSiaX97ru2/QOkqZflhiCPHVu/jlwe/A6CuqYZEWUnuNksk+anwvM8jOc81silaDnbEqoYNa4Yu4vmzWGzq2dJ//nDio1/il+0Kl6q6GvU72TFnwXKZ5X36dGH92szOTsdOAzM2KWd8ebXnV69eU7uuPdraWrT4oQnLfp7D48chnL9wBQAlJSVu3brLzFmLAfDxeUClSuVxHjGQ0xmd8JzHUe7Hsfzzcc5UOVaZ17nhM88fX9Qn/rpiYRg9erR0MCy7bdu25Vjm4uKCi4vLF44qk+hcC9+N7E8OkUgk0mkfmpqaeebPz93HWcv4+Jm8ZR/LTU1NZd68eXTt2jVHeRoa8m80WrRoEfPmzZNZVk+vEvX1qwDw5mUCKckpMiNeANpGuryKlR0Z+SghJh6dbDdh6RjpkvIhmTcvZad9tBjentZjOrO23wLCH2Z++y9VtSy6xvpM/ifzEUnKKsqUq2eL3UAHXMv3Iy31K/0jkAeff28Q7BMgfa+ilr5P9UwMZEb2dI30SIiNQxF5I766RnrEx8jfL3mxqWuLeTkL1o9dnuMz739vEJQlZtVCjjn7KBtA/7lDqdmqLgt7zuJlxo102WMpW60co9e4fnIs2du1TpZYXr98RUpySo54dYz0SMho+x/L0zXRV1i2cWlTWgxuy5zWE6VP0wjze4p1XVvqdmxESnIKtk2qUbVFbdyqD+H963fUbt+QsIch6JsY0KB7M06uz3xqS4LcuNOPr9cZx5f8NLL1HB/9kshsT/eIDAqjZtv0G+Os69miU1yXHnMGSz+XKCnRrL9DxjbL1nfWepEnfd/L3rCsm+/6Ti9HVV2NrpP7sHbkz9w7exuAsIdPKV3JEocRHXN0rms7NkBNQ40/duyRWf7PPye5ft1b+l5dXQ0AMzNjIiOjpctNTIyIipYdVc4uLS2NoKAnANy584CKFa2ZOmWstHMdERGNr5/sE0cePgykaxdHYmNfkJycjKmZ7Ih/bnWZvm8NcqRP3/+vsqTRz7nObHUtN00u+1D4Ook518L/hWrVquHj48OLFy/kfm5ra8ulS5dklnl5eWFra/tZ5daqVYtHjx5hbW2d45X9BouPpk+fTnx8vMyrjl5mHCkfUgi9H0yFJtVk8lVsUo3Ht+Q/ouqJtz8Vs6e3q0bIvWBSk1Oky1qM6ICDSzd+HbSI0Huy80r9L99nkf0kljpOlb6e3gni1oFLLHWc+s12rAHev3lP9NNI6Ss8IJS46JdUzlJnyqoqVKhfmcBbjxSuJ8jbn8pNqsssq2xXncDbivPkpmmvljy+G0ionKeyZI/5WUbMVeTEHJBLzIFyYq4iJ+YB84ZRp019lvSdS2xYtMxnWWOp2qwmj+8Gyo2lfP1KBOUSS7C3P5WytdNKdtUJyogl5UMyT+8HY5s9TZNq0vXGhkYTF/1SZj3Zy/74lJPUbG02LTUV0iSE3A+mbE2bzGWAbZNqBN96RFpqGkoS2WM32DsgZ0x21Xma5fgK9vbHtknVbGmqEXw785gNvvUIUyvZOaAmZUvw/FkMANf2X+CnNpNZ6DhF+oqLfMGpjYd49TxeTnutlGt7VVTfgdnqO0eaLPWtrKqMippqjpHe1NRUJJKc5zi7Xi3x+fcmsbGy5+LXr98QFPRE+vL19SciIopWLZtK06iqqtLUrgFXrhTsl/UkEom0sw7gdeUGFcqXk0lT3saKkJBnfPjwgdu378qUC+n7X1HbTd+3+dn/ubftEDltO7dyi1wR/fz5t0B0roX/C3369MHMzIzOnTtz+fJlgoOD2bdvH1eupI9kTJ48mW3btvHrr78SEBDAihUr2L9/P5MmTfqscmfPns3vv//O3LlzefDgAX5+fuzevZuZM2cqzCPvsUTZp4Sc3XSEhr1a0KBHc0zLWdBl1kAMShhxKeO5qh2m9KH/8jHS9Jd2nMLAwoguMwdgWs6CBj2a06BnC85s/EeapuXIjrR368WfU9bzPCwaHWM9dIz1UCuW3hFJfPOeCP9QmVfSu/e8iXtNhIK5t4Xh7dt3PPQP4qF/+lNYnoVH8dA/iIjI6Dxyfp5TWw7Tfkw3ajnUw6J8KYYtG0viu0SuHsycuzlsuQvdp/TLkucIle2q4+jcGbNyFjg6d6ZS42qc2pL5HF/1YhqUqmRJqUqWABiXMqFUJUuZR5tB+jzauo4NuZDHjYxZnciIuXZGzMOXjSUpW8wjlrvQI0vMJ7ccoUpGzOZZYj6RJeaB84fTsEtT1o9fyfs379Az1kfPWB/VLB2WjzHXc2zI+d2nZWIpUb4UQ5aNIeldItcOZn6JdVo+li5T+krfn95yhEp21Wnj3AmzciVo49wJ28ZV+XfLkcw63nQYu14tadzjB8zKWdBz1iAMSxhxfudJmfU4julKTQVlRwY9I+pxBAMWjsCyujXGpU1pPaw9tk2q4X3yOqc3HaZik2okvUtkxK+TGPzLWAxLGqOlp03xUiYYlTFlUJbj6+KOkxhaGNFt5kDMylnQsMcPNOrZgn+zHF9ntxzF1q469s6dMC1XAnvnTlRsXJUzWbbt9OYjlK1pQ5vRXTAuY0rdjo1p0qcl538/AcCbuNeE+4fKvFKSk0mIiePEb//IbLOTdJsz973Tche6Zqnvf7cczajvzhn13VlOff+TUd8tMC9nQa9ZgzEsYcS5jPp+//odj64+oMf0AVRoUBmjkiY06t6chl2b4X1S9j4BkzJm2NSzzfPm3I9Wr9nEtKkudOrUhsqVK7Bl8y+8ffuOXX95StNs3bKKnxZMk76fOmUsrVraUbZsaSpUKMeE8SMY0L87O//cL02zatVv1K9fi2lTXShXzpLevTszbFg/1v26DYBfVv3GUKc+DB7Ui4oVrVn+81wMSxhxIWObO0/py+DlmTeun99xiuIWRvSYOQizchY06vEDjXu24OTGQ5n7NqNtO2Tsf4eMtn06S13/u+kwTXq1pFFG2+6R0bYvZGnbxfS0KVnJEnPr9HnnZlYlKFnJMseI938iLa1wXt8hMS1E+L+gpqbGyZMncXNzw9HRkeTkZCpVqsTatWsB6Ny5M6tWreLnn39m3LhxlC1blq1bt9K8efPPKtfBwYHDhw/j7u7O0qVLUVVVpWLFigwbNuyz1ut9+Apa+jo4jO+GnrEBEf6h/DpkMS+fpV8u1TXRx8Ai85nXL8Ji2DBkMV1mDcJugAPx0S/ZN28rd45n/oBBkwGtUVFXZeivbjJlHVu5h2Mr935WvJ/j/sMAnFymSt8vXZP+iMVObVvx00w3Rdk+29FfD6CqocaA+SOkP8iyfIA779+8l6YpbmEkM2IXePsRv7qsoOukvnRx7U10SBS/jl0hM+XEslo5pv3lLn3fZ1b6DbCX9p5l8yQP6fL6HZqARMK1Q7JXVPKKWU1DjYHzR1As44dvfs4Ws6GFEanZYl7nsoJuk/rSLSPmddlibjmgDQAzds+XKe+3SR5c2pv5RJ0GGTFfPXSJd6/eSmNJ/xGeQH4ZsIDEbLFkrb+g2/5sdFlJ50m96eTam5iQSDaO/YXHPoHSNDcPe6Gtr0378d3RM07/UZPVQxby4lnmVIHjvx5EVUONvvOHyS07JTmF1UMW0nVqP1w2TUVdS4Pop5FsdVvL/XPeqCBBS1+Hti7dqNikKmmp6T8iY2Fbhl9HLKV2+0YYWmR+GXoeFsPaIYvoPmsQzTKOr7/nbcX7eGbnMvi2P5tdVtJxUm86uPYiJiSSTWNX8iTLtj29G8SvI5fReUpfHMd3IzY0mj3u27lxMO82cDxj3/ebP1z6o0crBsyXqe/09po5Uhh0+xEbXX6h86Q+dHbtRUxIVEZ9Z+77G4e90NLXoYO0vkNYla2+N7j8QrcpfRm2chxa+to8fxaL58+7pD8i81Hjni2Ii3yB7wXZJ2Io8vOydWhqauCxeqH0R2TatuvL69dvpGlKlyohnYYHoKVVjDWrF1GypBnv3r3n0aMgBg4ex549mR3dm7fu0L3HMBYsmMbMHyfw+Ekorm5z2LUrvdO+Z88hihsaMPPHiZibm3D/wSM8smyznolBtv0fzZohi+iZZf/vnrclx/7f5LKSTpN60zGjbf829heZ/X/zsBda+tq0y9K2PbLVdfXWdRi8LPOL3XCPiQD8s/JvDq+UnWrzxX2no86FQZL2pR7yJwhCoRln2auoQyiQ5Tfl/3Tt12pEnclFHUKBfGt/0tS+sYukKsj/pbev2YdvrFVsC79S1CEUyNAS/82vwhaWDU++fEf73a5Pe+JVdpp95uWd6BsjRq4FQRAEQRCEghEj1wqJzrUgCIIgCIJQMEX0nOtvwbd1rU4QBEEQBEEQvmJi5FoQBEEQBEEoGDEtRCHRuRYEQRAEQRAKRjwPQyExLUQQBEEQBEEQCokYuRYEQRAEQRAKRkwLUUh0rgVBEARBEISCEZ1rhcS0EEEQBEEQBEEoJGLkWhAEQRAEQSgY8ZxrhUTnWhAEQRAEQSiQtFTxtBBFROdaEARBEARBKBgx51ohMedaEARBEARBEAqJGLkWBEEQBEEQCkbMuVZIdK4FQRAEQRCEghFzrhUS00IEQRAEQRAEoZCIkWtB+AaM144r6hAKZESdyUUdQoFsvPlzUYdQIOPqTCvqEApEGUlRh1Agb0kp6hC+e/HT7Io6hAKZ/LuYApGDuKFRIdG5FgRBEARBEApGdK4VEtNCBEEQBEEQBKGQiJFrQRAEQRAEoWDSxA2NiojOtSAIgiAIglAwYlqIQqJzLQiCIAiCIBSMeBSfQmLOtSAIgiAIgiAUEjFyLQiCIAiCIBSM+IVGhUTnWhAEQRAEQSgYMS1EITEtRBAEQRAEQRAKiRi5FgRBEARBEAokTTwtRCHRuRYEQRAEQRAKRkwLUUhMCxEEQRAEQRCEQiI610Vs7ty51KhRI9c0zZs3Z8KECf9JPP+1c+fOIZFIiIuLK+pQBEEQBEHIr7TUwnl9h8S0kP+QRCLB09OTzp07F3UoX41GjRoRERGBnp5eUYfy2Zo3b06NGjVYuXJlUYcipdurPfpDeqBsbMiHwKfELvmV97fv55lPo2YlSmxdRlLgE8K6jy60eDpN6EmzPq3R0tMi2CeAP2ZtIjwgNNc8tds0oItbb0xKmxEdEsn+ZX9y+8R16efl61Wi7YhOlKlqhYGpIatHLMH75HWZdWx9sk/uuncv/J3jGw9+/oZlcdPnHlv/3Ivvw0Binr9g1aJZtGzaqFDLkKdpf3taj+yInok+Ef5h7HHfRuCNhwrT29S3pfvMQZiXL0l81EtObjjExZ2nZNLUbFOfDm69MCptSmxIFAeX7eLOiRvSz9tN6EH7CT1k8sTHxDGt7ohP2ga7/va0HNlBug373LcTlMs2WNe3pevMgdJt+HfDIS7t/Ff6eaPeLajXtSklKpQCIOTeY/75eRdP7wR9UnzwsQ23opieFsE+geyY9RvhAWG55qndpj5d3HpjXNqMmJBI9i/bla0N29JmRCcsq1qhb2rImhFL8D55Q2YdnSb0pF6HxhiaFyf5QzJP7wWzf9kugn0Cvsp4aznUp3m/1pSpYoWOoS5zHCcR6vsk13KzU6nbGtUmHZBo65MaE0bSsd9Jfaq4PaCsgmrzbqhUb4JEW5+0hBd8OO9Jsve59I9t66LatDNKhmagrEzq80iSvY6QfOdigeL6qGl/e1plO+Zya6829W3pluWYO5XtmDO3KUl7116UrlqW4iVN2OO+jbNbjsqsw7qeLa1HdKRU1bLomxqyYcTP3MlW9/8ZMS1EITFyLeQpKSnpi61bTU0NMzMzJBLJFyvj/5VWm2YYTXPm5W+7COsxmne372P+6wJUzIxzzaekXQyThZN5d827UONxdO6Mw9AO7Jy9CfeOU4mPiWPSjtloaGkozFOuVnlGebhyxfM8sx3duOJ5nlEebljVsJGmUS+mTqjfE3bO3qRwPePrDpV5bZ7sQWpqKreOXS3UbQR49+49FaytmOFaeF9K8lK7fUN6zB7McY/9LHScSuANP8Zsm4FBieJy0xcvacyYrdMJvOHHQsepHF/rSc85Q6jZpr40TdlaNgz1mMA1zwv85DiZa54XGO4xEcsa1jLrCn8UwtS6w6WvBQ5un7QNtdo3pNvsQZzw8GSx4zSCbjxk9LbpuW7DqK3p6RY7TuPE2gN0nzOEGm3qSdPYNKjMrUNerOrjzvKus3gZHsuYP35Ez9Tgk2Js69wZ+6Ht2TF7M/M7Tst3G3b2cMXL8wJzHN3w8ryAs4drtjasQajfE3bM3qxwPZHB4eycvYnZDq4s6j6T2LBoXH+fiY6h7lcZr3oxdQJuPmTvkp0K0+RGuUpD1NoO4sN5T96tn0bq04do9J+GRE9+ewBQ7zkBZasqJB7YwLvVriTuWU1qbLj087R3b/hw4QDvfpvFu7VTSfY+j1pnZ5StqxU4vtrtG9I945hblM9jbnTGMbco45jrMWcINbIcc2qa6sSGRHFgyZ/ER7+Uux61YuqE+T3h79lbChyz8N/5v+xcN2/eHBcXFyZMmICBgQGmpqZs3LiRN2/eMGTIEHR0dChXrhzHjh2T5jl//jz16tVDXV0dc3Nzpk2bRnJyssw6x40bx5QpUzA0NMTMzIy5c+dKP7e0tASgS5cuSCQS6fuP/vjjDywtLdHT06N37968evVKbuzu7u5UrVo1x/LatWsze/bsPLd98ODBdO7cmXnz5mFiYoKuri4jR46U6UA3b96csWPH4urqipGREa1btwbA19cXR0dHtLW1MTU1ZcCAAcTGxn5WvWafFiJvmszKlStl6uvjNixcuBBTU1P09fWZN28eycnJTJ48GUNDQ0qWLMmWLfk/+UydOpXy5ctTrFgxrKysmDVrFh8+fMhRZlYTJkygefPm0s/Pnz/PqlWrkEgkSCQSnjx5AuTddr4U/YFdSdh/glf7jvMhOJTnS34lOTIG3d7tc81nNGc8r46c5f0dv0KNp7VTew6v3cetE9d45h/KJrc1qGuq06CTncI89k7teXDpDkfWeRIZ9Iwj6zzx87pHa6fMbbh3zpv9y3dx68Q1hetJiImTedVsXY+HV+4TExpVqNsIYNewLuNGDKJ188aFvm5FWg5rj9ffZ7i8+wyRQc/Y476dlxGxNO1vLz/G/va8CI9lj/t2IoOecXn3Gbz2nKXViA7SNC2c2vHw0l1OrDtAVFA4J9Yd4KHXfVo4tZNZV0pKKgkx8dLX6xfyz115aTGsHVf+PsOV3WeICnrGPvftvIx4jp2CbWjSvzUvw5+zz307UUHPuLL7DFf3nKVllm3YPmENF3ec5JnvU6KCwvlz2gYkEgkVGuc8h+ZHa6d2HF67n9sZbXiz2xrUNNWpn0sbbu3UDt9Ldzm6zpPIoHCOSttwZj3eO+eN5/K/uJ1LG7526BK+l+8RExpNeEAYfy3YTjFdLUpWLPNVxnvF8wL/rN6L7+W7CtPkRrVRO5JvnyX59lnSYsNJOvY7aQnPUanbWm56ZevqKFva8n7HYlKD75MWF0PqsyBSQ/2laVKf+JLid4O02HDSXkaRfPUYqVEhKJWuWOD4WmQcc14Zx9xe9+3E5XHMvQyPZW/GMee1+wxXsh1zT+8G4bloB7f+8SI56YPc9fie8+Gf5bvxOXFd7uf/qdTUwnl9h/4vO9cA27dvx8jIiOvXr+Pi4sKoUaPo0aMHjRo14vbt2zg4ODBgwADevn3Ls2fPcHR0pG7duty5c4f169ezefNmFixYkGOdWlpaXLt2jaVLl+Lu7s6pU+mXfG7cSL9ss3XrViIiIqTvAYKCgjhw4ACHDx/m8OHDnD9/nsWLF8uN28nJCV9fX5n8d+/exdvbm8GDB+dr20+fPo2fnx9nz55l165deHp6Mm/evBzboqKiwuXLl9mwYQMRERE0a9aMGjVqcPPmTY4fP05UVBQ9e/b85Hr9HGfOnCE8PJwLFy6wYsUK5s6dS/v27TEwMODatWs4Ozvj7OxMaGjuUw4+0tHRYdu2bfj6+rJq1Sp+++03fvnll3zHs2rVKho2bMjw4cOJiIggIiKCUqVK5bvtFDoVFdQr2fDO65bM4rdet9CoXklhNp3O9qiWMufl+h2FGo5xKVP0TQy4f/GOdFlyUjKPrj3AunYFhfnK1SzPgyx5AO5f8MG6luI8edE10qPaD7W4uPv0J6/ja6KsqkzpKlb4Zqsnv4t3sVJQt1Y1bfC7KNvp8b3gQ5mqViipKGekKY9vjjR3sKpVXmaZiaUZi679yvyLHgxdMx6jUiaftA2lqljliMnv4h3K1i4vN0/ZmuXxy7bNvhfuUDrLNmSnpqmOsqoKb+NeFzhG41Im6JsYyLTH9Dbsm2cbvp+jDd+h3Ge0YWVVFZr1ac3bhDeE+j356uMtMGVllMzLkhIk2x5SAu+iXFp+e1CuWJvU8GBUm3REc9I6NMf9gppDf1BRVViMklUVlIzMSXlasIGEj8dc9vaX2zFXNh/H3DcnNa1wXt+h/9vOdfXq1Zk5cyY2NjZMnz4dTU1NjIyMGD58ODY2NsyePZvnz59z9+5d1q1bR6lSpfDw8KBixYrSkd/ly5eTmuVbV7Vq1ZgzZw42NjYMHDiQOnXqcPp0+h9wY+P0S/H6+vqYmZlJ3wOkpqaybds2qlSpgp2dHQMGDJDmy65kyZI4ODiwdetW6bKtW7fSrFkzrKys8rXtampqbNmyhcqVK9OuXTvc3d1ZvXq1zLZYW1uzdOlSKlSoQMWKFVm/fj21atVi4cKFVKxYkZo1a7JlyxbOnj2Lv3/myEBB6vVzGBoasnr1aipUqICTkxMVKlTg7du3zJgxQ1q2mpoaly9fztf6Zs6cSaNGjbC0tKRDhw64ubnx999/5zsePT091NTUKFasGGZmZpiZmaGsrJzvtlPYlA10kagok/w8TmZ5yvM4lI3kXxJXLV0Cw4lORE9dAimFG5uesT6QPoKcVXxMPHrGii/R6xnr58iTEBMnXd+naNytOe/fvONmLqNu3xJtA12UVZR5FRMvs/xVTDx6Rvpy8+ga68tNr6yqgraBTpY0cdnSxKGbpe6f+ASw3XUtawb+xM5pG9A11mfS/gVo6WsX2jboKtwGvTy3IbtOU/sSH/mCh5fvFSi+9PLS22lB22NhtuHqLWqz7sEfbHj0J/ZD27GsvzuvX8q/UvA1xPupJMV0kSgrk/Zadv+mvYlHoi0/DomBCUqlK6BkUorEXctJOrYd5Ur1UWvvJJtQXZNiP26j2JwdaPSbQtKRbaQGFaw9KGqvCbm2V30SCthev3rihkaF/m9vaKxWLXOOlbKyMsWLF5eZbmFqagpAdHQ0fn5+NGzYUGZecOPGjXn9+jVhYWGULl06xzoBzM3NiY6OzjMWS0tLdHQyD6688g0fPhwnJydWrFiBsrIyO3fuZPny5XmW81H16tUpVqyY9H3Dhg15/fo1oaGhlCmTfomxTp06Mnlu3brF2bNn0dbO+UczKCiI8uXTRxMKUq+fo3LlyigpZX43NDU1pUqVKjnKzm85e/fuZeXKlQQGBvL69WuSk5PR1VU8lzG/8tt2skpMTCQxMVF2WWoq6kqf8F04LduogEQC8gYKlJQwWTqNl2v/4MPTZwUvJ5sGnewYtHCk9P1Kp4UZ4cgWLpHkXJZdjk8lEnlL882uZ0uuHrhIcqL8y67fqrTsdSKRsyzX9BLpJ+T4X9Y0mUsfnPOR/j/8USjBt/1xv7CGBt2acXrzkXzHnjUq2eIkuW5DzvAkGWvJmafVyI7U7tiYVb3n5WvfN+hkx8CFmTdmrnRalL5uOcdUXm1Y3nZ9Shv2u3KfuY6T0TbUoVnvVoxa68qCztN59Tzhq4z388kpU0HsEkn6+TFx7xpIfAdA0vHfUe81kaTDWyA5Y58nvefd+qlI1DRQsqqCWpsBpL6MJvWJ7ydEJ+d8lms95X3MCd+H/9vOtaqq7KUiiUQis+zjSTo1NZW0tLQcN9x9PDllXS5vnfkZnSxovg4dOqCuro6npyfq6uokJibSrVu3PMvJS9Zt0dLSkvksNTWVDh06sGTJkhz5zM3Npf8vSL3Ko6SklOPEn3Xuc37L+bgsP/V/9epVevfuzbx583BwcEBPT4+//vpL5gtLfuPKLr9tJ6tFixblmKbjYmzFeBNruenlSXmZQFpyCipGBmTtpisb6pHyPOeNMkpammhUqYB6RWuMZozJWChBoqSElc9RIkZM5931OznyKeLz7w2ZpxioqKXvGz0TA+KzjIrpGumREBuHIvFyRsx0jfSIzzYClF82dW0xL2fB+rH5/zL6tXv9MoGU5BSZEWUAHSM9EmLl11NCthHo9PS6pHxI5vXL17mk0csx+pZV0rtEwh+GYFLWXGGa3LZBJ1t52ka6vFK4DfHoGOvlSJ/yIZk3L2WnfbQc3h77MZ3x6LeA8Ich+YopZxtO/3Mpvw0rrpP4mDjpKPJHOp/YhpPeJRL9NJLop5EEewew6Owa7Hq15Og6z68y3k+V9jaBtJSUHKPUEi090t7IjyP11UskCS+kHWuA1JhnSJSUkOgWJ+1FZMbK00h7EUUakBr5FCVjC1SbdiKxAJ3r3I45xe0172Pum/OdTukoDP+300IKolKlSnh5ecl0rry8vNDR0cHCwiLf61FVVSUlJeWz41FRUWHQoEFs3bqVrVu30rt3b5mR6LzcuXOHd+8yT0BXr15FW1ubkiVLKsxTq1YtHjx4gKWlJdbW1jKv7B3xz2FsbExkZKRMXfv4+BTa+uW5fPkyZcqU4ccff6ROnTrY2Njw9OnTHHFFRETILMsel5qaWo79+yltZ/r06cTHx8u8nI3yN+VHKjmZRN8ANBvWkllcrGEt3t/J+Uck9fVbQjuPIKz7KOkr4e8jJAWHEtZ9FO/v5fL4Kznev3kv7QREP40kPCCUuOiXVG6S5cqGqgoV6lcm8NYjhesJ8vancpPqMssq21Un8LbiPLlp2qslj+8GEur3NO/E34iUDymE3A/GtonslTPbJtUIVlC3wd4BOdJXsqvO03vBpCanZKTxx7ZJ1WxpqhF82x9FVNRUMLO2UPikg9y2IfR+MBWzxVSxSTUe35Jf3mNv/xzpbe2qEZJlGwBajuhAG5durBu0iJB7wfmOKWcbDiMu+iWVcrThSvlow7JxVrGrTtAntmEZElDN+OL6TcSbXykppEY8RrmcbPtTLleVlBD57SE1xB+JjgGoqUuXKRmZk5aaSlrC81wKkyBRVjwvW254Co65irkcc4+9A+S0V9lj7luTlppaKK/vkehc58Po0aMJDQ3FxcWFhw8fcvDgQebMmYOrq6vM1IS8WFpacvr0aSIjI3n5smB/fLIbNmwYZ86c4dixYzg5OeWdIYukpCSGDh2Kr68vx44dY86cOYwdOzbXbRkzZgwvXrygT58+XL9+neDgYE6ePImTk1OhfGH4qHnz5sTExLB06VKCgoJYu3atzNNFvgRra2tCQkL466+/CAoKYvXq1Xh6esqkadGiBTdv3uT3338nICCAOXPmcP++7POiLS0tuXbtGk+ePCE2NpbU1NRPajvq6uro6urKvD5lSkjc7/vR7dYGnS72qFqVoviUkaiYm5CwO/1yveGEIZgsnJyeOC2NpMCnMq+UF3GkJSWRFPiUtHeJuZSUP6e2HKb9mG7UcqiHRflSDFs2lsR3iVw9mPmM2WHLXeg+pV+WPEeobFcdR+fOmJWzwNG5M5UaV+PUlsPSNOrFNChVyZJSlSyB9Bu5SlWyxLCEkUz5Gtqa1HVsyIUvfCPj27fveOgfxEP/9GcpPwuP4qF/EBGRnzcVKjenNx2mca+WNOzxA2blLOg+axAGJYykz9DtNKUPg5aPkaa/uOMkhhZGdJs5ELNyFjTs8QONerbg343/SNOc3XIUW7vq2Dt3wrRcCeydO1GxcVXObMmc7tF1xgBs6ttSvKQxljWsGb7ODQ1tTa7uO1/gbTiz6QiNerWgQY/mmJazoOusgRhm2YaOU/owIMs2XNpxCkMLI7rOHIBpOQsa9GhOw54tOJ1lG1qN7Eh7t17snLKe52HR6BjroWOsh1ox9Rzl58epLUdoP6artA0PXTaGpHeJXMvWhrtN6Zslz1Eq21WnrXNnzMqVoK1zZ2wbV+VUlnrM3oaNSpnKtGE1TXW6Tu6LVU0bilsYUbpyWQYvdsbQvDg3jnh9dfECaOlpU6qSJSWs0wdtzKxKUKqSZY7RW0U+eB1BpVYLVGo2R2JUArU2A5HoGZF8I/055qqteqPWNfNxl8n3LpH27jXqnUchMbZAqUxF1Oz7k3z7rHRKiKpdJ5TKVUViYILEqAQqjRxRqWH3Sc+5PrPpMI2yHHPdCuGYU1ZVpmSlMpSsVAZlVRX0TQ0pWakMxmVMpWnUi6lL0wAUL2VCyUplFD4C8Hu1bt06ypYti4aGBrVr1+bixdz3YWJiIj/++CNlypRBXV2dcuXKFeiJYgX1fzstpCAsLCw4evQokydPpnr16hgaGjJ06FBmzpxZoPUsX74cV1dXfvvtNywsLKSPavsUNjY2NGrUiOfPn1O/fv28M2TRsmVLbGxsaNq0KYmJifTu3VvmsYHylChRgsuXLzN16lQcHBxITEykTJkytGnTpkBfMPJia2vLunXrWLhwIfPnz6dbt25MmjSJjRs3FloZ2XXq1ImJEycyduxYEhMTadeuHbNmzZKpEwcHB2bNmsWUKVN4//49Tk5ODBw4kHv3Mm+EmTRpEoMGDaJSpUq8e/eOx48fY2lpWSht51O8OX6eWD0dDJz7oWJsSFLAUyJGzSQ5Ir2Tp2xkiIp57s+8LkxHfz2AqoYaA+aPQEtPiyCfAJYPcOf9m/fSNMUtjGRG+QNvP+JXlxV0ndSXLq69iQ6J4texK2Quf1tWK8e0v9yl7/vMGgLApb1n2TzJQ7q8focmIJFw7dClL7mZ3H8YgJPLVOn7pWvS226ntq34aeanPQM6L7cOX0FLX4d247uha2xAhH8oa4cs4sWz9Edl6pkYYGiR2fF5HhbD2iGL6D5rEM0GOBAf/ZK/523F+3jmTZ7Bt/3Z7LKSjpN608G1FzEhkWwau5InPoHSNAbmhjitHo+2gS6vXyTw2DuApV1+lJZbELcztqFtlm1YN2QxLzPWpWuij6FFZgfieVgM64csptusQdhlbMPeeVvxOZ75iDK7Aa1RVVdl2K+y9X505R6Ortxb4BiP/XoANQ01+s8fLv0hpOUD5su0YUMLI1Kz3KQVdPsRv7r8QtdJfeji2iujDf+Sow1P/StzKlifWYOB9Da8ZdJaUlNTMS9nQeNuzdA20OVN3Cse3w1iUY9Zuf4gTFHFC1CjdR2GLhsrTTPKwxWAgyv/5uDKvG8WT7l/hSRNbVSbd0NNR5/U6FDe71hMWnx6e5DoGKCkl+ULdFIi77f/hHq7wWiOXEjau9fp6zi9OzONmjrq7Z2Q6BaHD0mkxoaTuG8tKfev5BlPdh+POUeZ9pp5zOmaGGCQ7ZhbN2QR3WYNomlGe90zbys+WY45PVNDZhz9Wfq+9ciOtB7ZEf+rD1jZO72+S1crx8S/5krTdJ81CIAre8/xx6R1Bd6Oz1JE00J2797NhAkTWLduHY0bN2bDhg20bdsWX19fufcxAfTs2ZOoqCg2b96MtbU10dHRX/SRuJK0vO9sEL5CaWlpVKxYkZEjR+Lq6prvfIMHDyYuLo4DBw58ueCEQhdUxaGoQyiQBa8L9rSIorbx5s95J/qKjKszrahDKBBlvq0fiXrLt3mZ/luyZuC3NbY3+fdva/rCuif5f9rVp3o9uUuhrEf7Z8+8E2VRv359atWqxfr166XLbG1t6dy5M4sWLcqR/vjx4/Tu3Zvg4GAMDQ0/O978ENNCvkHR0dGsWLGCZ8+eMWTIkKIORxAEQRAE4YtLSkri1q1b2NvL/liPvb09Xl7yp0gdOnSIOnXqsHTpUiwsLChfvjyTJk2SufessH1bXx0FIP2xc0ZGRmzcuBEDA9m7uuU9Ku+jLz13+Wu1cOFCFi5cKPczOzu7/9t6EQRBEIRPVkjPqJb3+Fl1dXXU1XPeGxEbG0tKSor0sb4fmZqaEhkZKXf9wcHBXLp0CQ0NDTw9PYmNjWX06NG8ePHii827Fp3rb1BuM3lye7KGhYUFdnaKf/b2e+Xs7JzjlyQ/0tTU/I+jEQRBEITvQCHNuZb3+Nk5c+bkei+YvEfcKnq8bWpqKhKJhJ07d6Knl/74zhUrVtC9e3fWrl37RfoBonP9nbG2zv+zkP9fGBoa/mfzrARBEARByL/p06fnuHdM3qg1gJGREcrKyjlGqaOjo3OMZn9kbm6OhYWFtGMN6XO009LSCAsLw8bG5jO3ICcx51oQBEEQBEEokLTUtEJ5yX38rILOtZqaGrVr1+bUqVMyy0+dOkWjRo3k5mncuDHh4eG8fp35Yz3+/v4oKSnl+vsen0N0rgVBEARBEISCSU0rnFcBubq6smnTJrZs2YKfnx8TJ04kJCQEZ2dnIH0kfODAgdL0ffv2pXjx4gwZMgRfX18uXLjA5MmTcXJy+mJTQ8W0EEEQBEEQBKFgiujXFXv16sXz589xd3cnIiKCKlWqcPToUcqUSf9hnYiICEJCQqTptbW1OXXqFC4uLtSpU4fixYvTs2dPFixY8MViFJ1rQRAEQRAE4ZsxevRoRo8eLfezbdu25VhWsWLFHFNJviTRuRYEQRAEQRAKpoh+ofFbIDrXgiAIgiAIQsGIzrVC4oZGQRAEQRAEQSgkYuRaEARBEARBKJDcftDu/53oXAuCIAiCIAgFI6aFKCSmhQiCIAiCIAhCIREj14IgCIIgCELBiJFrhUTnWhAEQRAEQSiQNNG5Vkh0rgXhG7D8tV5Rh1AgqaQUdQgFMq7OtKIOoUBW31xc1CEUyMDarkUdQoHoS9SKOoTv3qTfi+bX/T7V+2/snCYULdG5FgRBEARBEApGjFwrJDrXgiAIgiAIQsF8Wxcf/lOicy0IgiAIgiAUiJhzrZh4FJ8gCIIgCIIgFBIxci0IgiAIgiAUjBi5Vkh0rgVBEARBEISCEXOuFRLTQgRBEARBEAShkIiRa0EQBEEQBKFAxA2NionOtSAIgiAIglAwYlqIQmJaiCAIgiAIgiAUEjFyLQiCIAiCIBSImBaimOhcC4IgCIIgCAUjpoUoJKaF/Afmzp1LjRo1/m/KVaR58+ZMmDChqMNQSCKRcODAgXyn/9rqVxAEQRCEoidGrguZRCLB09OTzp07F3UoTJo0CRcXl6IO44t48uQJZcuWxdvbu8g6uEVdv03729NqZEf0TPSJ8A9jj/s2gm48VJjepr4t3WYOwrx8SeKjXnJqwyEu7jwl/dzcpiTtXXtRumpZipc0YY/7Ns5uOSqzDofRnanhUA/TchZ8eJ9E8G1/PBfvIDo4Il8xd57Qk+Z9WqOlp0WQTwB/zNrEs4DQXPPUadOArm69MSltRnRIJPuW/cmtE9eln7cf3YXaDg0wz4gp4PYj/l78B5HB4dI025/sk7vuvxb+zrGNB+V+1rS/Pa2z1W9gHvXbPUv9nsxWvwA129Sng1svjEqbEhsSxcFlu7hz4ob083YTetB+Qg+ZPPExcUyrO0JxBX2mmz732PrnXnwfBhLz/AWrFs2iZdNGX6y87LpN6E3LvvZo6WkR6B3A1lkbCMujTdRr25Aebn0xLW1GVEgku3/ewc0T1+Sm7TS6G72nDuDY5n/43X2zTLkNOzSheAkjkj8k8/heELt/3kGQTwDwbez/vguHY9e3NXvct5GclPyfx6uupUFHt15Ut6+HjpEeoQ8es2feNp7eDZKmqeFQD7t+rShdxQptQ11+cpxMmO/TIqnfBZc8KF7SJMe6z/9+gr9mZ7YNs3IWdJnWD5v6lZAoSYgICMVjzHJehMfmyNtpQk+aZZzTgjPOaeF5tN/abRrQJcs5bf+yP7md5ZzWLuOcZpZxTgu8/Yg92c5ptR3q07yfPWWqWKFjqMtsRzdCfZ/kWm5hSxMj1wqJkevvmLa2NsWLFy/qML5bRVm/tds3pPvswRz32M8ix6kE3vBjzLYZGJSQH0/xksaM3jqdwBt+LHKcyvG1nvSYM4QabepL06hpqhMbEsWBJX8SH/1S7nqs61fi/B8n+LnLj6wesAAlZSVcfp+JmqZ6njE7OnemzdAO/DF7E3M7TiU+Jo7JO2ajoaWhME+5WuUZ7eGKl+d5Zjm64eV5ntEebljVsJGmqVC/Mqf/OM78LtNZOmAeyspKTP59tkxM4+oOlXltmuxBamoqN49dlVtu7fYN6ZFRvwvzWb9jMup3YUb99pwzhJpZ6rdsLRuGekzgmucFfnKczDXPCwz3mIhlDWuZdYU/CmFq3eHS1wIHtzzr9nO8e/eeCtZWzHAd/UXLkaeDcxcch3Vk6+yN/NhhMnExL5mxc16ubcKmVgXGeUzi0v5zTGs7gUv7zzF+7WTKZWkTH1lVs6ZFX3ue+j7O8VnE43C2zd7IVPvxzOs2nZiwaGb8MRcdQ91vYv9Xt6+LZQ0b4iJfULKSZZHE23+JMxWbVGObqwcLHNzwu3iX8TtmoWdqIE2jVkydoJuPOLDkT+myoqrfxR2ny9Ttqn7zAbh19Io0jVFpU9z2uhMZ9IwVfebyU9vJHF29jw+JSTnicnTujMPQDuycvQn3jHPapHyc00Z5uHLF8zyzHd244nmeUQrOaQu6TGfZgHkoKSvhlu2cplZMg4CbD9m7ZIfCsr641EJ6fYe+28518+bNcXFxYcKECRgYGGBqasrGjRt58+YNQ4YMQUdHh3LlynHs2DFpnvPnz1OvXj3U1dUxNzdn2rRpJCcny6xz3LhxTJkyBUNDQ8zMzJg7d670c0tLSwC6dOmCRCKRvv/ojz/+wNLSEj09PXr37s2rV6+kn+3du5eqVauiqalJ8eLFadWqFW/evMlzO8+dO0e9evXQ0tJCX1+fxo0b8/TpUyDntIXBgwfTuXNnli1bhrm5OcWLF2fMmDF8+PBBmiYxMZEpU6ZQqlQp1NXVsbGxYfPmzG/0vr6+ODo6oq2tjampKQMGDCA2Nue3+fzYsWMHderUQUdHBzMzM/r27Ut0dLT085cvX9KvXz+MjY3R1NTExsaGrVu3AlC2bFkAatasiUQioXnz5vkqc8uWLVSuXFm6j8eOHasw7dSpUylfvjzFihXDysqKWbNmydSVovpduHAhpqam6OvrM2/ePJKTk5k8eTKGhoaULFmSLVu2FKCW5GsxrD1ef5/Ba/cZIoOesdd9O3ERsTTtby83vV1/e16Gx7LXfTuRQc/w2n2GK3vO0mpEB2map3eD8Fy0g1v/eJGc9EHuetYOWsjVveeJCAjjmd9T/pi8juIljSld1SrPmB2c2nNo7T5unbjGM/9QfnNbg5qmOg062eWa58GlOxxe50lE0DMOr/PE1+seDk7tpWmWD1rApb1neRYQSqjfUzZNXotRSWPKVi0nTRMfEyfzqtm6Hn5X7hMTGiW33JYZ9Xs5o373uG/nZR71+yI8lj0Z9Xt59xm8stVvC6d2PLx0lxPrDhAVFM6JdQd46HWfFk7tZNaVkpJKQky89PX6xavsxRUqu4Z1GTdiEK2bN/6i5cjTdmgHDnjs4cbxq4T5h7DebRVqGuo07tRUcR6nDty75MPBdfsID3rGwXX7eHD5Lo5OHWTSqRfTYOyqifw2dS1v4nOeS70OXuD+5btEh0YRFhDKjvlbKKarRWlby69+/+uZGtBrnhNbx68mJTmZ8g0r/+fxqqqrUrNNfTwX7SDwuh8xT6M4snIPsWHRNMtS7nXPixxdvQ+/y/eky4qqfl+/eCVTt1Vb1iL6SSQBV32laTpN7s2Ds954Lt5J2IMnxIZGc/+sN6+eJ+SIq7VTew5nOadtcluDeh7nNPuMc9qRdZ5EBj3jyDpP/Lzu0TrLOW3FoAVc3nuW8Ixz2paMc5pllnPaFc/zHFq9hweX7yos60tLSy2c1/fou+1cA2zfvh0jIyOuX7+Oi4sLo0aNokePHjRq1Ijbt2/j4ODAgAEDePv2Lc+ePcPR0ZG6dety584d1q9fz+bNm1mwYEGOdWppaXHt2jWWLl2Ku7s7p06lX5q6cSP98tPWrVuJiIiQvgcICgriwIEDHD58mMOHD3P+/HkWL14MQEREBH369MHJyQk/Pz/OnTtH165dSUvL/U7c5ORkOnfuTLNmzbh79y5XrlxhxIgRSCQShXnOnj1LUFAQZ8+eZfv27Wzbto1t27ZJPx84cCB//fUXq1evxs/Pj19//RVtbW1pnM2aNaNGjRrcvHmT48ePExUVRc+ePfO/U7JISkpi/vz53LlzhwMHDvD48WMGDx4s/XzWrFn4+vpy7Ngx/Pz8WL9+PUZGRgBcv55+Ce3ff/8lIiKC/fv351ne+vXrGTNmDCNGjODevXscOnQIa2trhel1dHTYtm0bvr6+rFq1it9++41ffvkl1zLOnDlDeHg4Fy5cYMWKFcydO5f27dtjYGDAtWvXcHZ2xtnZmdDQ3C8b5kZZVZnSVazwu3hHZrnfxbtY1a4gN0/Zmjb4XZQ9Cfte8KFMVSuUVJQ/ORZNnWIAvIl7nWs641Km6JsYcD9LzMlJyTy69gAbBTEDWNcsL5MH4P4FH6xrKc7zMabXcfI7pbpGelT/oRYXdp+W+/nH+vUtQP1a5aN+rWqWxzdHmjtY1Sovs8zE0oxF135l/kUPhq4Zj1GpnJexvwcmpUwxMDHk3kUf6bLkpGT8rt2nfO2KCvPZ1KrA3Qs+MsvuXPDGJlsep/kj8D5zi/v56Hwoq6rQoq89b+Lf8Mw/5Kve/xKJhCG/uHBq4yEiAsIAMDAv/p/Hq6SijLKKMh8SZb+If3ifRLm6ivefkkrRHl8fKasqU6+zHVf+PitdJpFIqPJDLaIeR+Dy+wyW3vyNKQd+orp93Rz5czunWedyTitXszwPPvGc9kbBOU34+nzXc66rV6/OzJkzAZg+fTqLFy/GyMiI4cOHAzB79mzWr1/P3bt3+eeffyhVqhQeHh5IJBIqVqxIeHg4U6dOZfbs2SgppX8PqVatGnPmzAHAxsYGDw8PTp8+TevWrTE2NgZAX18fMzMzmVhSU1PZtm0bOjo6AAwYMIDTp0/z008/ERERQXJyMl27dqVMmTIAVK1aNc/tS0hIID4+nvbt21OuXPo3Wltb21zzGBgY4OHhgbKyMhUrVqRdu3acPn2a4cOH4+/vz99//82pU6do1aoVAFZWmSOS69evp1atWixcuFC6bMuWLZQqVQp/f3/Kl5d/ElPEyclJ+n8rKytWr15NvXr1eP36Ndra2oSEhFCzZk3q1KkDIHMl4GNdFy9ePEddK7JgwQLc3NwYP368dFndujlPmh99bDsfy3Zzc2P37t1MmTJFYR5DQ0NWr16NkpISFSpUYOnSpbx9+5YZM2YAme3w8uXL9O7dO19xZ6dtoIuyijKvYuJllifExKNrpC83j66xPgnZ0r+KiUdZVQVtAx0SYuI+KZZuMwcReN2PCP/cvyzoGetnxChbTkJMPMVLGueaLz5bnviYOOn65Ok7czCPrvvyTEFMTbo15/2bd9xSMEdXUf2+iolHL5f6lZc+a/2mp4nLliZ9+UdPfALY7rqWqMfh6Brp09alK5P2L2B+a9c8v8B8a/RM9AFy7t/YeIwsFLcJfWN94mNl6zo+Nh5948ypCA07NMGySjlmdpyUaww1W9RhnIcbaprqxEW/ZGH/OUgkkq96/9uP6kRKcgpnt6ZfdZUoKaGkpPSfx5v45j1Btx7hOK4bkYHPSIiNo27HJljWsCbmcaTccgGK6WoVWf1mVd2+Hpq6WlzZe066TMdIFw1tTRxGdeLQ8t14Lt5JpWY1GPGrG3F95vDoWuYIt6JzWnxMPEZ5nNNyngdzP6f1njkY/1zOaUXmOx11Lgzfdee6WrVq0v8rKytTvHhxmU6rqakpANHR0fj5+dGwYUOZUd/GjRvz+vVrwsLCKF26dI51Apibm8tMZVDE0tJS2rHOnq969eq0bNmSqlWr4uDggL29Pd27d8fAwEDR6oD0jtzgwYNxcHCgdevWtGrVip49e2Jubq4wT+XKlVFWzhypNDc359699Mt1Pj4+KCsr06xZM7l5b926xdmzZ6Uj2VkFBQUVuHPt7e3N3Llz8fHx4cWLF6Smph+pISEhVKpUiVGjRtGtWzdu376Nvb09nTt3plGjT7vRKjo6mvDwcFq2bJnvPHv37mXlypUEBgby+vVrkpOT0dXVzTVP5cqVpV/EIL2NValSRfr+YzvMrc0kJiaSmJgosywlLQVliewIcxqyVzYkkpzLZGX7TNrWP+1Zpb3ch2JhW5rl3Wfn+KxhJzsGLxwpfb/CKf0LWY6rMRI5y/IgkUgUbucA92GUtC3DT91/VJjfrmdLrhy4mGPELbscZeRRvznT56zfHLklEpmlD875SP8f/iiU4Nv+uF9YQ4NuzTi9+Uiu8X7tGnduyrCFo6Tvlw5JvyqYvU7SqySPNpEmp+1nLDM0N2LQnGEsHDA3z33se+Ue09pORMdQlxZ97Bm/bjLLhma01a9w/5euUpYfhjiyqN3UfJT/5ePdNtGDAT+PYvH1DaQkpxB6/zE3Dl6mdJWyCsstynizatzrBx6c85G5v0QiST933z11kzMZx1uY71PK1apAtyn9KVWxtDTtSgXnNEk+zmkFibO/+zBK2ZZhYS7ntKLyvU7pKAzfdedaVVVV5r1EIpFZ9rEjnZqaSlpaWo7pFB8PkKzL5a3zY6ewoLF8zKesrMypU6fw8vLi5MmTrFmzhh9//JFr165J5xYrsnXrVsaNG8fx48fZvXs3M2fO5NSpUzRo0KDAcWhqauZaVmpqKh06dGDJkiU5PsutQy/PmzdvsLe3x97enh07dmBsbExISAgODg4kJaXfONK2bVuePn3KkSNH+Pfff2nZsiVjxoxh2bJlBSoL8t627K5evUrv3r2ZN28eDg4O6Onp8ddff7F8+fJc8+XV5j4uy63NLFq0iHnz5sksq6NXibr6lQF4/TKBlOSUHCMyOkZ6vMo2ovdRgpwRHB0jXVI+JPP6ZcFHRHvOHUK1VrVZ0XMOcZEvcnzu/e8N6VMXAFTV0utAz8RAZqRS10iPhNg4FJE3Sq1rpJdjFB6g/9yh1GxVl4U9Z/FSTkwA5evaUqKcBevGKt6PudVvwmfUr/w08rflo6R3iYQ/DMGkbMGOr6/RrVPXCfT2l77/2Cb0jfWJy9LB0S2uR3wubSJOXpvIkseqajn0jPVZeDhzHyurKFOxfiXsBzkywKYHaRnHX+K7RKKeRhL1NJJAb39WnFtHndb1vtr9b13PFp3iuvzktU5m29LS0hi1cTJT6mQ+VeS/iDc2JIpfes1FTVMdDW1NEmLiGOoxgdhQxYMHbxPeFHn9GloYUbFxNTY4y/4tef0ygZQPydLpNh9FBD2jXHFb5jhmXglRKeRzWrycOPtlnNMW5XJOE75O3/Wc64KoVKkSXl5eMt84vby80NHRwcLCIt/rUVVVJSUlpcDlSyQSGjduzLx58/D29kZNTQ1PT8985a1ZsybTp0/Hy8uLKlWq8Oeff+adSY6qVauSmprK+fPn5X5eq1YtHjx4gKWlJdbW1jIvLS2tApX18OFDYmNjWbx4MXZ2dlSsWFHuaK6xsTGDBw9mx44drFy5ko0bNwKgpqYGkO+61tHRwdLSktOn5c+zze7y5cuUKVOGH3/8kTp16mBjYyO9UfRLmz59OvHx8TKvWnqZcxhTPqQQcj8Y2yayV1EqNqlG8K1Hctf52DuAitnS29pV5+m9YFKTC9Zee85zokab+qzs687zsBi5ad6/eU/000jp61lAKHHRL6mSJQZlVRUq1K9MgIKYAQK9/ancpLrMsip21Qm8LZtnwLxh1GlTnyV95xIbpvgPe9NeLXl8N5BQP8X7UlH92uZSv8HeATnSV8pWv8He/tg2qZotTTWCb/ujiIqaCmbWFgqf3vItef/mvbQjG/U0krCAUF5Gv6BqkxrSNMqqKtjWr4L/LcWPZAu4/YiqdjVkllVrWoOAjDz3L99hcutxTGs7UfoKuhPA5QMXmNZ2orRjLY9EIkFJRfmr3f/X9l/gpzaTWeg4RfqKi3xBfPRLHl6+X2TxJr1LJCEmjmK6WlRqWp27p27kSPNRanLRH18Ne/zAq+fx3D9zW2Z5yocUntwNwtSqhMxy07LmxIZGyZzTwjPOaZXlnNMCczmnBck5p1WWc07rP28YtdvUZ2ke57SiJG5oVEx0rjOMHj2a0NBQXFxcePjwIQcPHmTOnDm4urrKXObPy8cOXGRkJC9f5u8P4rVr11i4cCE3b94kJCSE/fv3ExMTk+f86cePHzN9+nSuXLnC06dPOXnyJP7+/nnmyy32QYMG4eTkJL3B8Ny5c/z9998AjBkzhhcvXtCnTx+uX79OcHAwJ0+exMnJqcBfKEqXLo2amhpr1qwhODiYQ4cOMX/+fJk0s2fP5uDBgwQGBvLgwQMOHz4s3TYTExM0NTWlN1XGxyse/flo7ty5LF++nNWrVxMQEMDt27dZs2aN3LTW1taEhITw119/ERQUxOrVq/P9Zedzqauro6urK/PKPiXkzKbDNOrVkoY9fsCsnAXdZg3CoISR9Lmvnab0YdDyMdL0F3ecxNDCiG4zB2JWzoKGPX6gUc8W/LvxH2kaZVVlSlYqQ8lKZVBWVUHf1JCSlcpgXMZUmqb3/KHU62LH1vGrSHzzDl1jPXSN9VBVlx2dl+fElsO0H9ON2g71sChfiuHLxpL0LpGrBy9K04xY7kKPKf2k709uOUIVu+o4OnfGvJwFjs6dqdS4Gie2HJamGTh/OA27NGX9+JW8f/MOPWN99Iz1UVVXkylfQ1uTeo4NOa/gRsasTm86TOMs9du9EOr37Jaj2NpVx965E6blSmDv3ImKjatyZkvmdI+uMwZgU9+W4iWNsaxhzfB1bmhoa3J1n/wvvIXh7dt3PPQP4qF/+rOJn4VH8dA/iIjIL/8H/djmf+g0pjt1HOpTsnxpRi0fR9L7RC4fvCBNM2rFeHpP6Z+ZZ+s/VLOrQQfnLpQoZ0EH5y5UaVydo1vS6/r9m/eE+YfIvBLfJvL65SvC/EMAUNdUp9fk/ljXLI+RhTGWVawYvmQMhmbFuXbk8le7/9/EvSbcP1TmlZKcjN/Fu9Rs2+A/j9e2aXUqNatO8ZLGVGxSlQl/zSEqOByvPeekaYrpaVGyUhnMrUsCYGpVAu/j12jc+7+vX0j/AtWwe3Ou7jtPakrOnt2pjYeo3b4RjXu3xLiMKc0GOlC1ZW3O/HE8Z9qMc1qtjHPasGVjScx2Thu23IXuWc5pp7YcoXLGOc0syzntVJZz2oCMc9qG8St59+Ydusb66GY7p2npaVOqkiUW1qUAMLcqQalKlgrnmH8JonOt2Hc9LaQgLCwsOHr0KJMnT6Z69eoYGhoydOhQmZva8mP58uW4urry22+/YWFhwZMnT/LMo6ury4ULF1i5ciUJCQmUKVOG5cuX07Zt21zzFStWjIcPH7J9+3aeP38ufbTcyJEjc82Xm/Xr1zNjxgxGjx7N8+fPKV26tPRmvBIlSnD58mWmTp2Kg4MDiYmJlClThjZt2hToCwikj0hv27aNGTNmsHr1amrVqsWyZcvo2LGjNI2amhrTp0/nyZMnaGpqYmdnx19//QWAiooKq1evxt3dndmzZ2NnZ8e5c+dyLXPQoEG8f/+eX375hUmTJmFkZET37t3lpu3UqRMTJ05k7NixJCYm0q5dO2bNmiXz6MWidOvwFbT0dXAc3w1dYwMi/ENZN2QRL56lPxZR18QAAwsjafrnYTGsG7KIbrMG0XSAA/HRL9kzbys+xzNv6tMzNWTG0Z+l71uP7EjrkR3xv/qAlb3Tp6k0HeAAwMTdstNWfp+0lqt7c+8AHv31AGoaagycP4JiGT+48PMAd96/eS9NY2hhRGqWq0eBtx+xzmUF3Sb1pZtrb6JDolg3dgXBWaactBzQBoAZu2W/nP02yYNLezOfBNCgQxOQSLh66FKucUJm/bbLUr9rs9SvnokBhtnqd+2QRXSfNYhmGfX797yteGep3+Db/mx2WUnHSb3p4NqLmJBINo1dyROfQGkaA3NDnFaPR9tAl9cvEnjsHcDSLj9Ky/0S7j8MwMklcw7v0jXpV4c6tW3FTzO/7DO2//nVEzUNdZwWjERLV5sgH38W9p8r0yaMShiTlprZJgJuPWK1yzJ6uvWjp1tfokIiWT12mcw0pLykpqZSwtqCpt2nomOgy+u4VwTdCWBejxmEBYTyOjDqm9r/Yb5PeOIT+J/Hq6lTjM5T+qBvVpy38a/xPnaNg8t2yVwNq9a6DoOWZXaUh3lMBODemdv/ebwAFZtUpXhJY7yyPCUkqzsnbvDnj7/RZnRnes4dQlRwOBtHLSfgZs6rKUd/PYCqhhoD5o+Q/jDW8mzntOIWRjJXxANvP+JXlxV0ndSXLhnntF+zndNaZJzTpmU7p22a5MHljHNajdZ1GbYs81GyozzSj9UDK3dzcOXfcrdN+O9I0gp6N5EgCP+50Zaf9rjDovKGgk+NKkrF+PTHERaF1TcXF3UIBTKwtmtRh1Ag+hK1vBMJ/1fef2PntK0KfpW2MEXl8/cl8mKax8DYt0iMXAuCIAiCIAgF8r1O6SgMYs71V05bW1vh6+LFi3mv4D8SEhKSa6whISFfPIZvpa4EQRAEQfh+iZHrr5yPj4/CzwryFJMvrUSJErnGWqJECYWfFZZvpa4EQRAE4VuXlqr416D/34nO9Vcut5/n/pqoqKgUeaxFXb4gCIIg/L8Q00IUE51rQRAEQRAEoUDS0sTItSJizrUgCIIgCIIgFBIxci0IgiAIgiAUiJgWopjoXAuCIAiCIAgFIm5oVExMCxEEQRAEQRCEQiJGrgVBEARBEIQCEb/vrZjoXAuCIAiCIAgFIqaFKCamhQiCIAiCIAjfjHXr1lG2bFk0NDSoXbt2vn+F+fLly6ioqFCjRo0vGp/oXAuCIAiCIAgFkpYqKZRXQe3evZsJEybw448/4u3tjZ2dHW3btiUkJCTXfPHx8QwcOJCWLVt+6ibnm+hcC4IgCIIgCAWSllY4r4JasWIFQ4cOZdiwYdja2rJy5UpKlSrF+vXrc803cuRI+vbtS8OGDT9xi/NPdK4FQRAEQRCEIpGYmEhCQoLMKzExUW7apKQkbt26hb29vcxye3t7vLy8FJaxdetWgoKCmDNnTqHGrojoXAuCIAiCIAgFUljTQhYtWoSenp7Ma9GiRXLLjI2NJSUlBVNTU5nlpqamREZGys0TEBDAtGnT2LlzJyoq/81zPMTTQgThG/CtPfFI7Rv73q7Mt3XX+8DarkUdQoH8fmtFUYdQIKPrTC3qEAos5Rs7S6h+Y8ecJspFHcJXJy2tcPbh9OnTcXWVPaepq6vnmkcikS07LS0txzKAlJQU+vbty7x58yhfvvznB5tPonMtCIIgCIIgFEhh/fy5urp6np3pj4yMjFBWVs4xSh0dHZ1jNBvg1atX3Lx5E29vb8aOHQtAamoqaWlpqKiocPLkSVq0aPH5G5HNtzW8JAiCIAiCIPxfUlNTo3bt2pw6dUpm+alTp2jUqFGO9Lq6uty7dw8fHx/py9nZmQoVKuDj40P9+vW/SJxi5FoQBEEQBEEokNRCmhZSUK6urgwYMIA6derQsGFDNm7cSEhICM7OzkD6NJNnz57x+++/o6SkRJUqVWTym5iYoKGhkWN5YRKda0EQBEEQBKFACmvOdUH16tWL58+f4+7uTkREBFWqVOHo0aOUKVMGgIiIiDyfef2lSdLSxK/DC8LXbpRlz6IOoUCSv7Gbq9S/sRlyz9PkP6bqayVuaPzyxA2NX9a3dtPzuid/f/EyHlVsWyjrqfDwWKGs52siRq4FQRAEQRCEAvmUX1f8fyE614IgCIIgCEKBiHkPin1b10IFQRAEQRAE4SsmRq4FQRAEQRCEAhHTQhQTnWtBEARBEAShQIrqUXzfAjEtRBAEQRAEQRAKiRi5FgRBEARBEAqkqJ5z/S34Zkeu586dS40aNf5vyv2Stm3bhr6+vvT9f7mNzZs3Z8KECf9JWZ9r8ODBdO7cuajDEARBEIQil5ZWOK/v0Tcxci2RSPD09PwqOjaTJk3CxcWlqMP4ov7Lbdy/fz+qqqr/SVn59eTJE8qWLYu3t7fMl4xVq1ZRlL+51LS/Pa1HdkTPRJ8I/zD2uG8j8MZDhelt6tvSfeYgzMuXJD7qJSc3HOLizlMyaWq2qU8Ht14YlTYlNiSKg8t2cefEDenn6loadHTrRXX7eugY6RH64DF75m3j6d2gHOW1m9CD1iM6ol5MnegnEawdvpTwgLBct6lWm/p0cuuNcWlTYkKiOLBsF94nrsukad7fHoeRndAz0SfcP4zd7lsJyLbdHSb0oGmfVhTT0+axTwB/ztokU7ausT7dpw+gkl01NLQ0iAwO5+haT24fuypNY1LWnM4z+mFVuwLKqiqEPwrl8PLdBFx5IE1j19+eliM7SPfBPvftBOWyD6zr29J15kDpPvh3wyEu7fxX+nmj3i2o17UpJSqUAiDk3mP++XkXT+/krN/86jahNy372qOlp0WgdwBbZ20gLCA01zz12jakh1tfTEubERUSye6fd3DzxDW5aTuN7kbvqQM4tvkffnffLFNuww5NKF7CiOQPyTy+F8Tun3cQ5BPwydsiz02fe2z9cy++DwOJef6CVYtm0bJpo0It46O82pU8hdGmazrUo1m/1pSuYoWOoS7ujpMJ9X0i/byYnjadJvakkl11DEoU5/WLV3ifvI7nir949+qtTFmdJvSkWZ9WFNPTItgnkB2zfstzG2q3qU8Xt94YlzYjJiSS/ct2cTvLNpSvZ0ubEZ2wrGqFvqkha0YswfvkDZl1dJrQk3odGmNoXpzkD8k8vRfM/mW7CM5oD83622OfpQ7+dt+ax/msEj1mDqJE+ZLERb3k5IaDXJBzPuuYpe4PLtuFT5a4m/a3p1k/e4qXNAYgIiCMw6v38OCcjzRN+wk9qNuhMQYZcYfcC+bAsl2E+uQ8Jpv2t6dVtnNybucDm/q2dMtyTj6V7ZxsblOS9q69KF21LMVLmrDHfRtntxyVWYd1PVtaj+hIqapl0Tc1ZMOIn7mTre7/K2LOtWLf7Mh1UdHW1qZ48eJFHcYX9V9uo6GhITo6Ov9JWZ9LT09PZoT/v1S7fUN6zB7McY/9LHScSuANP8Zsm4FBCfn7qXhJY8ZsnU7gDT8WOk7l+FpPes4ZQs029aVpytayYajHBK55XuAnx8lc87zAcI+JWNawlqbpv8SZik2qsc3VgwUObvhdvMv4HbPQMzWQKc/euRP2Izvy6nk8CbHxvHv9jok7ZqGupaFwm6xqlWeEx0Suep7H3XESVz3PM8JjImWzlF+nfSN6zR7CEY99uDtOIeCGH+O2/YhhCSNpmjbOnWg9tD1/zt7MTx2nER8Tl6PsoStcMLMqgcewJcx1cMP7+DVGekykVGVLaRrnLVNRUlZmdd/5LO0wnWe+T3DePAUdYz0AarVvSLfZgzjh4clix2kE3XjI6G3Tc90Ho7amp1vsOI0Taw/Qfc4QarSpJ01j06Aytw55saqPO8u7zuJleCxj/vgxR/3mVwfnLjgO68jW2Rv5scNk4mJeMmPnPDRy2Q82tSowzmMSl/afY1rbCVzaf47xaydTroZNjrRW1axp0deep76Pc3wW8TicbbM3MtV+PPO6TScmLJoZf8xFx1D3k7ZFkXfv3lPB2ooZrqMLdb3Z5addZVdYbVq9mAaBNx+xf8lOueXomxqgZ2rAnoW/M8/BjW2T1lKlWQ2GLBklk66tc2fsh7Znx+zNzM/Yhkk7ZufaHsrVKo+zhytenheY4+iGl+cFnD1cscrSHtSLaRDq94QdszcrXE9kcDg7Z29itoMri7rPJDYsGtffZ6JjqEvd9o3oOXsIRz3+x955x0VxvH/8fRy9dxBEEcSCvfcSu1iwl8SKjajYa2JFY0kkNtTE2GM3scVu7IpdUFQUBKUICKiAiiLt9wdw3MEdxZCg39+8fe3rJbvPznzmmdm52dlnZ/9kocs0ntwMwGPL95jI+UAes9KWeGT1ZwtdpnF8zX76znVT6M8caldghPdErh+4wAKXKVzP8r18fxYf9ZIDS3ewqOsMFnWdwSOf+4xeP51STqVlNi9Cotg1ZyOe7SfzU6/ZvIyIZcK22eibKv5O1enciF5ZffLiQvbJo7PKsDirT+49dyg15cqgqaNFXNgLDi7dSULMa6XpaOpqERHwjL1zNqn0vaDkKdLgumXLlnh4eDBhwgRMTEywsrJi/fr1vHv3jqFDh2JgYICjoyPHj+d8yvLChQvUr18fLS0tSpUqxYwZM0hNTVVIc9y4cUybNg1TU1Osra2ZN2+e7Li9vT0A3bt3RyKRyP7O5vfff8fe3h4jIyP69evHmzdvZMf++OMPqlWrho6ODmZmZrRp04Z3794VWM7z589Tv3599PT0MDY2pkmTJoSGhgJ5QyayQwWWLVtGqVKlMDMzY8yYMaSkpMhskpOTmTZtGnZ2dmhpaeHk5MTGjTmd0sOHD3FxcUFfXx8rKysGDhxIXFxcgTqz/Td27FjGjh2LsbExZmZmzJo1S2GG9fXr1wwaNAgTExN0dXXp2LEjQUGqZ5OUhYVs2rSJKlWqyOpx7NixALi5udG5c2cF29TUVKytrdm0qeCLP3dYiL29PYsWLcLNzQ0DAwPKlCnD+vXrFc6JiIigX79+mJqaoqenR926dbl+PWeW7a+//qJOnTpoa2vj4ODA/PnzFdqcRCJh3bp1dOzYER0dHcqVK8e+fftkx8uVKwdArVq1kEgktGzZEsgbFpKcnMy4ceOwtLREW1ubpk2bcvNmzgzC+fPnkUgknDlzhrp166Krq0vjxo15/PhxgX7JTevhnfHZe5Yre84SHfycfZ5beR0VR/MB7ZTaNxvQjleRcezz3Ep08HOu7DmLz75ztBnZRWbTyq0Tjy7f4+Tag7wIjuTk2oM88rlPK7dOAGhoaVCrQwMOLN7OkxsBxIa+4OiKfcRFxNAiV76th3cmNSWVtW5LSPmQzPVDl9DU0aKBa1OVZWrj1omHl+9xfO1BooMjOZ6Vf5us/AHaDu/M5b1nuZxV7j2eW3gdFaeQf2u3Thxbsx/fkzeIDAxn82TvPHk71K7A2a3HeXb3CXHhMRz13k9S4jvKVnEAQM/EAMtypTi97hCRj8KIfRbNoaU70dLVppRT5qxyq+GduLr3LFf3nOVF8HP+9NzK66iXNFNRB00HtOV15Ev+9NzKi+DnXN1zlmv7ztFarg62TljNpe2neP4wlBfBkeyc8SsSiYSKTaqp9Ft+dBzWhYPe+7h54hoRgWGsm7wSTW0tmrg2V32OWxf8L/txaO2fRAY/59DaP3lw5R4ubl0U7LR0tRm7ciK/TV/Du4S8/ajPoYvcv3KPmPAXRASFs33BJnQN9ShT2f6TyqKKZo3qMW7kYNq2bFKs6eamMO0qN8XVpq8duMiRVX8QcMVfaT6RgeH88q0X987cJjbsBY+u3mf/sl3UaF0XNWnOz3pbt04cWbOfOyev8zwwnI2TV2eVoZnKMrTNKsOxtQeIDo7k2NoDBPj401auDP7nfTngtZs7Kp5uAFw/fJmHV/yJDY8hMiiC3Qu3omuoR+lKZWk/vAtX5PqzvUp8IE+LAW15FRnHXs8tsv7syr6ztBvZVWbT2q0TAZfvcSKrPzuR5fvWcrrvnbnN/fO+xDyNIuZpFIeW7SI56QMOtSrIbG4evsyjK/7EhccQFRTBvoVb0THUxbZSWQVNrbL6ZJ+sMvzhuZX4Avrk15Fx/JHVJ/vsOcvVXH1y6L1gDizezu2/fEj9mKI0nYfn/fjLa4/CjHxJkZEhKZbtf5Eiz1xv3boVc3Nzbty4gYeHB99++y29e/emcePG3Llzh/bt2zNw4ECSkpJ4/vw5Li4u1KtXj7t377Ju3To2btzIwoUL86Spp6fH9evX+fHHH/H09OT06cxHJdmDlc2bNxMVFaUweAkODubgwYMcOXKEI0eOcOHCBZYsWQJAVFQU/fv3x83NjYCAAM6fP0+PHj0KfKyfmppKt27daNGiBffu3ePq1auMHDkSiUR1Azh37hzBwcGcO3eOrVu3smXLFrZs2SI7PmjQIHbv3s2qVasICAjgl19+QV9fX6azRYsW1KxZk1u3bnHixAlevHhBnz59ilQn6urqXL9+nVWrVrF8+XI2bNggOz5kyBBu3brF4cOHuXr1KhkZGbi4uCjcAOTHunXrGDNmDCNHjsTf35/Dhw9TvnzmbMDw4cM5ceIEUVFRMvtjx47x9u3bIpVBHi8vL+rWrYuvry+jR4/m22+/5dGjzEdtb9++pUWLFkRGRnL48GHu3r3LtGnTSE9PB+DkyZMMGDCAcePG8fDhQ3799Ve2bNnCDz/8oJDH7Nmz6dmzJ3fv3mXAgAH079+fgIAAAG7cyOy0/v77b6Kioti/f79SndOmTePPP/9k69at3Llzh/Lly9O+fXtevXqlYPf999/j5eXFrVu3UFdXx83Nrcg+KVPVgYeX7irsC7h0D4c6FZXaO9RyIuDSPYV9Dy/6UbaaA2rq0iybCjzMY3MXh9qZPzRq6lKk6lJSkhXbScqHjzjWqyT727yMFYbmRlze9TdRWY+b09PSCbz+EEcV+nLyVyzTg4t+ONbOPEeqoU5ZJeV+cOmeLF1zO0uMLU14IGeT+jE1T95Pbj2iXufG6BrpI5FIqNelMeqaGjy+lhny8e71G6KCIqjfozmaOlqoSdVo+nUbEmPjCb8fglRDil1Vhzw+Dbh0l3J1KqCMcrUqEJBL+8OLdykjVwe50dTRQqqhTlL8W5V+U4WlnRUmlqb4X/JT8EXA9ftUqFNJ5XlOtSty76Kfwr67F31xynWO24KR+J69zf0rij5QhlRDnVZft+NdwjvClMxyf+4Utl3lpjja9KeiY6DLh7dJpKdl9oUWKsrw+PpDyueTl2OtCtzPpe/+xbuyMnwKUg11WvRvS1LiOyKDwpX64GE+PlDVV+Xtz1T7PjcSNTXqdmmMpo4WIXcCVepu1r8NSYnviAgIldsvpUxVhzzXd359crlC9MlfGiLmWjVFjrmuUaMGs2bNAmDmzJksWbIEc3NzRowYAcCcOXNYt24d9+7d46+//sLOzg5vb28kEgmVKlUiMjKS6dOnM2fOHNTUMsf21atXZ+7cuQA4OTnh7e3NmTNnaNu2LRYWmbFRxsbGWFtbK2hJT09ny5YtsrCCgQMHcubMGX744QeioqJITU2lR48elC2becdZrVrBs0GJiYkkJCTQuXNnHB0dAahcuXK+55iYmODt7Y1UKqVSpUp06tSJM2fOMGLECAIDA9m7dy+nT5+mTZs2ADg4OMjOXbduHbVr12bRokWyfZs2bcLOzo7AwEAqVFD+wy2PnZ0dy5cvz5zxqlgRf39/li9fzogRIwgKCuLw4cNcuXKFxo0z4xJ37NiBnZ0dBw8epHfv3gWmv3DhQiZPnsz48eNl++rVqwdA48aNqVixIr///jvTpk0DMm+EevfuLbuBKCouLi6MHp35yHf69OksX76c8+fPU6lSJXbu3ElsbCw3b97E1NQUQDbQB/jhhx+YMWMGgwcPBjJ9vWDBAqZNmyZrYwC9e/dm+PDhACxYsIDTp0+zevVq1q5dK2tzZmZmedpcNu/evWPdunVs2bKFjh07AvDbb79x+vRpNm7cyNSpUxU0tWjRAoAZM2bQqVMnPnz4gLa26kezuZGqS3kTm6Cw701sAkbmxkrtDS2MldpLNdTRNzEgMTY+yyY+l03mfoDkdx8Ivv0Yl3E9iX7ynMS4eOp1bYp9zfLEPo2WndM2a+bl7EbF2MDE2ATMSit/zAtgZGFMYi6NibEJsvz1TQyQqktJVKIxu9xGWbbK0pHPe/3Y5Yz0nsjKu5tJTUnl4/uPrB31E7FhL2Q23gMWMuq3qSx7sIWM9AzexCWwZvAi3icmYWRporIODFXWgVGBdZAb1+lfkxD9ikcqZizzw8gyU0dCrnQT4hIwt7VQeZ6xhTEJcYo6E+ISMLbICU1p1KUp9lUdmdV1Sr4aarWqyzjvyWjqaBEf85pFA+by5vWbfM/5HClsu1J23j9t05+CnrE+XTx6cX5nTvyuYVb95c4rMTZeFnOsugx5z8n2SVGo0aoOo1ZPQFNHi4SY1ywb4IlEIlHpA9XXUt6+KjE2Pk9/lp/vs7GpWIbp+39AQ0uD5KQP/DLqJ6KeKMagV2tVm+GrJ6Kpo0lCTDwrBizgnVw71jcxVNofJObbH+TVV1B/IPhyKfLMdfXq1WX/l0qlmJmZKQxaraysAIiJiSEgIIBGjRopzPo2adKEt2/fEhERoTRNgFKlShETE1OgFnt7e4V4XfnzatSoQevWralWrRq9e/fmt99+4/Vr5TFM8piamjJkyBDat29Ply5dWLlypcKsrDKqVKmCVJpz5ymvw8/PD6lUKhtc5eb27ducO3cOfX192VapUuaMUXBw4V5qatiwoYKPGzVqRFBQEGlpaQQEBKCurk6DBjlxXWZmZlSsWFE2U5sfMTExREZG0rp1a5U2w4cPZ/PmzTL7o0ePftLsbDby7UEikWBtba3gz1q1askG1rm5ffs2np6eCv4cMWIEUVFRJCXlvOjTqFEjhfMaNWpUKH9kExwcTEpKCk2a5Dya1tDQoH79+nnSkS9PqVKlAPJt38nJySQmJsq27FCnDHLd4kuU7JMjr71EdoQ8/5O3ydm7ZaI3SCQsufErqwN38tWQjoTcDsSinDXLH2xjZcDv1O6c6cs8T4UkhZmVUDTIlJiRj0WmUZ6yFZB3t8n90DXSw+vr+fzQdQZ/b/wL97WTsK1YRmbTd+Ew3rxMZEXvefzk+j33Tt/CfeP0XD/OufUq0ZIP2depsnPajOpKna5N+M3di9Tkgp8qNenWnM0Pd8k2dXV1JQqzq7QAjRl56yG7Pk1LmTN47nDWTFie5ylGbh5e9WdGx4nM7TGDuxd8Gb92KoZmRgWWpaSRaOmjbmYv26QaWfNOJdmmC4m2vg7jNs/kfeI72rp1Zu2D31n74HekGpm/SXmvS0khXszO286VqC6QgKv3mecylUU9v+f+BT++XTMJPRMV79gUkEdu/yh/mlyw71+ERLLQZSpLu3/Hhe2nGOI1llLlSyvYPL76gIUuU/mx5yweXPBj5JpJ6JvlfXcgr6b8++Q85VPSJ39JpGdIimX7X6TIM9e5V3aQSCQK+7IbfHp6OhkZGXkugOyLWn6/sjSzH/MXVUv2eVKplNOnT+Pj48OpU6dYvXo133//PdevX5fF1Kpi8+bNjBs3jhMnTrBnzx5mzZrF6dOnadiwYZF16Ojo5JtXeno6Xbp0YenSpXmOZQ/E/gmqOlFldaOMgvRDZtjLjBkzuHr1KlevXsXe3p5mzVTH9BXEP/Xn/Pnz6dGjR55jBc0UF8Yf2Shrx9n7c+9TdX2oYvHixcyfP1/h/KSkpDwzMAbmRiTmmnHMJlFuBjrH3pC0lFTevn6bj42RwuxKXNgLlvedh6aOFtr6OiTGxjNi3SSCrgewY8YvNOzVkg5jugOw6Oo6IHOWvc/3g0n5mMLtY1dVljOhgPzfvn5DWmpanhkz+XJnz9IaWhorzNgamhuRGJf5t0UZK1oN6cjcthNlqyREBIRSvl5lvhrUnu3f/0aFxlWp2qoO02q48eHtewD2zt5IpabVaNCrBWc3HCEtNQ2DXFr0zQ15o7IOEmQvQ8rbp6Wk8u61YthH6xGdaTemG97fLCTyUZhKn8lz+/QNnvjmPM7W0MxsZ8YWxsTLvQxlaGZEQlx87tNlxCuZlZQ/x6GaI0YWxiw64iU7LlWXUqmBM+0GuzDQqTcZWe05+X0yL0KjeREazRPfQH4+v5av+rYpVHlKkoyP70h9/UH299tXiUD+7UoZxdGmi4KWnjbjt37Ph3cfWD5sMXoGerJj6pqZP+9GliZKyqA6r8wyKL5Qa2BuREJs0fV9fJ9MTGg0MaHRhPgGsfjcamq2rUdaaton9Gd5NWX2Z2/kbJSkmUt3WkoqsaGZT95C/UOwr+5IKzcXdnyX827Px/fJxIZGExsazVPfIDzPraJJ31acXHsQgLevE1WWQXV/UHCf/KXxvxovXRz8q6uFODs74+PjozDA8/HxwcDAAFtb20Kno6GhQVpaWpHzl0gkNGnShPnz5+Pr64umpiYHDhwo1Lm1atVi5syZ+Pj4ULVqVXbu3Fnk/CEzFCU9PZ0LFy4oPV67dm0ePHiAvb095cuXV9j09PSUnpOba9eu5fnbyckJqVSKs7MzqampCi/8vXz5ksDAwALDXQAMDAywt7fnzJkzKm3MzMzo1q0bmzdvZvPmzQwdOrRQuj+F6tWr4+fnlyeuOZvatWvz+PHjPL4sX768LAwJlPss+4mBpqYmQL5trnz58mhqanL58mXZvpSUFG7dulUov+bHzJkzSUhIkG1xcXGE+4dQuaniE57KTasTclv5y5EhvkF57J2b1SDUP4T01LQsm0AqN62Wy6a60vjDj++TSYyNR9dQj0pNqnHr8GViQ19wduNRfugwlTcvEzm3+TiLXKYRH/2KUxv+Ij0tjWAV+rLzd1aiMfhO5jlpKamE3s9bbuem1WXpxoXHEB/zWiEdqYY6FRo4y2w0dbQASE/PNXuYno5EopZlo5llk57LJvNmKS0ljfD7IVTKpaVS0+o8va08XvOpb2Ae+8rNqhMmVwcArUd2oYNHT9YOXkyYf4jStJTx4d0H2UD2RWg0EUHhvI55RbWmNWU2Ug11KjeoSuBt1cuDBd15TLVmNRX2VW9ek6Csc+5fucvUtuOY0XGibAu+G8SVgxeZ0XGibGCtDIlEgrrm57XUplIyMiA9VbZFBkUU2K6UURxturBo6+sw8ffZpKWksmb4Ut69eiMbyMaERqssQ8UGzjzJJ69g30Cq5NJXVa4M/wgJqKtLlfqgcj4+yOyrCtOfqfa9SkmFaKO5bdJS0ghTUoZK+fTJT32DlPQHimUQ/O/wrw6uR48eTXh4OB4eHjx69IhDhw4xd+5cJk2apDDQKYjswV10dHShQjsArl+/zqJFi7h16xZhYWHs37+f2NjYAgc+T58+ZebMmVy9epXQ0FBOnTpV6IGoKu2DBw/Gzc2NgwcP8vTpU86fP8/evXsBGDNmDK9evaJ///7cuHGDkJAQTp06hZubW6FvKMLDw5k0aRKPHz9m165drF69WhYf7eTkhKurKyNGjODy5cuyF/hsbW1xdXUtVPrz5s3Dy8uLVatWERQUxJ07d1i9erWCzfDhw9m6dSsBAQGyeOd/g/79+2NtbU23bt24cuUKISEh/Pnnn1y9mjlDOmfOHLZt28a8efN48OABAQEBsqcP8uzbt49NmzYRGBjI3LlzuXHjhmwFFEtLS3R0dGQvlyYk5J2J0NPT49tvv2Xq1KmcOHGChw8fMmLECJKSkhg2bNg/KqOWlhaGhoYK25mNR2nStzWNen+FtaMtvWYPxsTGXLZGquu0/gz2GiNL49L2U5jamtNz1iCsHW1p1PsrGvdpxd/r/5LZnNt0jMrNatDO3RUrRxvaubtSqUk1zm46KrOp3LwGzi1qYFbagkpNqzFh91xehETis+88AO/i3xIZGM7fv/1F475fYVHOGsigcuOqJL/7wPVDOTcfbl5j6T7ta9nfZzYdxblZDTq4u2LtaEMHd1cqN6nG33L5n95whGZ9W9Mkq9x9Zg/G1MacCztOKaTjMqYHtdrXx6aCHUOXjeHj+2RZ3tHBz3nxNIqBi0ZiX6M8FmWsaDu8M5WbVsf3VObLq0/vBJGU8JZBXmOwrVw2c83rmd9gZmfJg3O+AJzdcJTGfVvRsHdLrBxt6TF7EKZyddB1Wn8GytXB5e2nMbU1p8esgVg52tKwd0sa9WnFGbk6aDOqK50n92XHtHW8jIjBwMIIAwsjNHW1ithqMjm+8S9cx/SibvsGlK5Qhm+9xvHxQzJXDl2U2Xz783j6TRuQc87mv6jerCZd3Ltj42hLF/fuVG1Sg2ObMnV+ePeBiMAwhS05KZm3r98QEZg5y66lo0XfqQMoX6sC5rYW2Fd1YMTSMZham3H96JVPKosqkpLe8ygwmEeBmWFzzyNf8CgwmKjogkMJi0JB7Qr+vTata6SPnbO9LFzBysEGO2d72cynlp42E3+fhZaOFlunrUPbQBdDC2MMLYyRyP22nt50lM5jelC7fX1sK9gxTFaGSzKb4V4e9JQrw+lNx6jSrAYd3bth7WhDR/duVG5SjdNyZdDS1cbO2R47Z3sAzO2ssHO2ly0nqKmjRY+pX+NQywkzW3PKVCnHkCXumJYy4+ZRH05u+IumfVvTOMsHvbN8cDHLB92mfc0Qr7Gy/C5sP42ZrTm9Zw3G2tGWxr2/okmfVpxafziP79tn9Wfts3x/Rk53t6n9KV+vEmalLbCpWAbXKf2p0LAKNw5ekunuNrU/5Wo5YWprjl2Vcgxc4o5JKVPuHFV8Cnd2wxEay/XJPYuhT5ZqSCntXJbSzmWRaqhjbGVKaeeyWJS1kvO9lswGwMzOktLOZVUuAfhvIsJCVPOvfkTG1taWY8eOMXXqVGrUqIGpqSnDhg3LM9ApCC8vLyZNmsRvv/2Gra0tz549K/AcQ0NDLl68yIoVK0hMTKRs2bJ4eXnJXj5Tha6uLo8ePWLr1q28fPlStuzcqFGjiqRZnnXr1vHdd98xevRoXr58SZkyZfjuu+8AsLGx4cqVK0yfPp327duTnJxM2bJl6dChQ6FvQAYNGsT79++pX78+UqkUDw8PRo4cKTu+efNmxo8fT+fOnfn48SPNmzfn2LFjhf54y+DBg/nw4QPLly9nypQpmJub06tXLwWbNm3aUKpUKapUqYKNjU0hPVN0NDU1OXXqFJMnT8bFxYXU1FScnZ1Zs2YNAO3bt+fIkSN4enry448/oqGhQaVKlWQvL2Yzf/58du/ezejRo7G2tmbHjh04OzsDoK6uzqpVq/D09GTOnDk0a9aM8+fP59GyZMkS0tPTGThwIG/evKFu3bqcPHkSE5NPW6M4P24fuYqesQGdxvfE0MKEqMBw1gxdzKvnmUs2GlmaYGqb86LVy4hY1gxdTK/Zg2kxsD0JMa/ZO38zvidynmCE3Alko8cKuk7pR5dJfYkNi2bD2BU883sis9Ex0KXbtP4YW5uRlPAW3+PXObRsV56ZllO/HEJDW5P+C4ZjaGHMx+QUlg9cSPK7nEftprbmCk+xgu8Est5jBd2m9MN1Uj9iw6JZP3Y5T+Xyv3XEB31jfTqP74WRhQmRgeGsGrpIVm6AE1l5f71gOHpZH8qQzzstNY1VQxfRY/o3eGyYjpaeNjGh0WyevIb75zMHzu9ev2Ht4MV0mdqPcTtno6YuJToogvUjf+J51ioBd7LqoKNcHawduoTXWVoMLY0xtc35gXsZEcu6oUvoOXswzbLq4I/5m/E7kbOEVrOBbdHQ0mD4L5MV/HlsxT6Orfgj/0ahhL9+OYCmthZuC0ehZ6hPsF8giwbM44NcPZjbWJAhN4sfdPsxqzyW0WfyN/SZ/DUvwqJZNXZZkT7+kp6ejk15W5r3mo6BiSFv498QfDeI+b2/K/ADNkXl/qMg3Dymy/7+cXXm43zXjm34YdZkVacVmYLaFfx7bbpm27oMXZYzMBvlPRGAwyv28teKfZSt5iBbPm7RRW8F3VObfsvLiFgAjv9yEE1tTQYsGJFVhiC8Bi5QaA+mtuakZ+Q8fQi+85hfPJbTY0p/uk/qS0zYC34Zu1z28RcA++qOTN+dE7rWf/YQAC7/cY5NU9aQnp5OKUdbmvRsgb6JIe/i3/D0XjCLe88mMiiCyKAIjIwN6CTnA285H+Ttz2JYPXQxfeT6sz3zN+XpzzZ4rMB1Sj+6Zvn+t7HLFfozA3Njhi73wMjChPdvknj+KJRVg38g4HLmKh7p6elYO9rSsGdL9E0MeBf/hmf3gvmp9xzZSkjZZPfJLgr9QU6fbGhpgkmuPnnt0MX0nD2Y5lll2Dd/M35yZTCyMuW7Yz/J/m47qittR3Ul8NoDVvTL9HeZ6o5M3D1PZtNrduZk1tU/zvP7lLX8l3yZkeL/DZKMkvzknOAf07JlS2rWrMmKFStKVEdSUhI2NjZs2rRJabzz58Tn9MXPwvKt/acta1hSpH5h3a7WF/Y9rZcZySUtoUhsu/1zSUsoEqPrTi/Y6DMj7Qu75jT4smYspV+Y3rXP9v7reVyzKZ7f+oaRype7/ZL5Ij5/Lvh8SU9PJzo6Gi8vL4yMjOjatWvBJwkEAoFAIPii+V8N6SgO/l8OrvNbf/n48eP/aKWL4iQsLEwWqqCMhw8f/odqlBMWFka5cuUoXbo0W7ZskS0Hln2sIP1lypRReVwgEAgEAsHniVgtRDX/LwfXfn5+Ko8VZRWTfxsbG5t8tdrY2CiNBf4vsbe3V7ncX2H0lwQiEkogEAgEgn9GwQsm///l/+XgWv6Lfp8z6urqX4xWZXzp+gUCgUAgEAiKyv/LwbVAIBAIBAKB4NPJ+MJe8vwvEYNrgUAgEAgEAkGRSBcRlir5stafEggEAoFAIBAIPmPEzLVAIBAIBAKBoEiki7AQlYjBtUAgEAgEAoGgSIiYa9WIsBCBQCAQCAQCgaCYEDPXAoFAIBAIBIIiIda5Vo0YXAsEAoFAIBAIioQIC1GNCAsRCAQCgUAgEAiKCTFzLRAIBAKBQCAoEiIsRDVicC0QCAQCgUAgKBJicK0aMbgWCAQCgUAgEBQJEXOtGjG4Fgi+AN5kpJa0hCJhIPmyupYk0kpaQpEwlmiWtIQiMbru9JKWUCTW3lpa0hKKzNgvzMcpfFnfzk77wvQKSpYv6xdQIBAIBAKBQFDipIuJa5WIwbVAIBAIBAKBoEiIz5+rRizFJxAIBAKBQCAQFBNi5logEAgEAoFAUCREFLpqxOBaIBAIBAKBQFAkxFJ8qhFhIQKBQCAQCAQCQTEhZq4FAoFAIBAIBEUiXSJeaFSFmLkWCAQCgUAgEBSJjGLaPoW1a9dSrlw5tLW1qVOnDpcuXVJpu3//ftq2bYuFhQWGhoY0atSIkydPfmLOhUMMrgUCgUAgEAgEXwR79uxhwoQJfP/99/j6+tKsWTM6duxIWFiYUvuLFy/Stm1bjh07xu3bt/nqq6/o0qULvr6+/5pGERYiEAgEAoFAICgSJfVC488//8ywYcMYPnw4ACtWrODkyZOsW7eOxYsX57FfsWKFwt+LFi3i0KFD/PXXX9SqVetf0ShmrgUCgUAgEAgERSJdUjxbUfj48SO3b9+mXbt2CvvbtWuHj49P4XSnp/PmzRtMTU2LlnkREDPXAoFAIBAIBIIiUVxfaExOTiY5OVlhn5aWFlpaWnls4+LiSEtLw8rKSmG/lZUV0dHRhcrPy8uLd+/e0adPn08XXQD/8zPXLVu2ZMKECSUtQymPHj2iYcOGaGtrU7NmzZKW8z+PRCLh4MGDhbafN2+eqBeBQCAQCP5FFi9ejJGRkcKmLLxDHkmulUoyMjLy7FPGrl27mDdvHnv27MHS0vIf6c4PMXNdgsydOxc9PT0eP36Mvr5+ScsR5GLKlCl4eHgU6Rx7e3smTJjwn93Q9ZjQl6++bouekR7BvkFsmf0bz4PC8z2nXseG9JrcH8sy1sSERbPvp53cOnlddrz1gPa0HtAei9KZHU9EUDgHVu7l3nnFlz9sytvSb8YgKjVwRqKmxvPAcFaPWcbLyDgAmg9oR9tRXTGyNCYqMIJ9nlt4cvORSl1ODSrTa9ZgSlUoTcKL15z69TCXdpxWsKnVoQFdJvfFvIwVcWEvOLRsF3dP3lSwMbIyofuMAVRpWRNNbU1ePI1i+7R1hN1/mifPrxeNoNnXbdnluZnTm47mOe46oQ8t+rdB10iPEL8nbJ/9G5FBEfn6t06HBnSf3A+LMtbEhkWzf9ku7py8ITteoX5lOox0xb6aA8ZWpqweuRTfU4plcJ3Qh/pdmmBayozUlFRC/UPYv2wXIX5BMpuS8G+nCb3pPKG3wjkJsfHMqDdSaZ7Z/t3tuZkzm47RZUJvmvdvg66RPk/9gtg5e0OB/qzdoQGuk/thUcaK2LAXHFy2C185fwK0HNCO9qNcMbI0JjIwgj2emwmS80Wt9vVp8U1bylR1wMDUEE+XqYQ/fCY7rmukj+vEPjg3q4GJjRnqmlLSP74jPekVZPzz79Dd8vNn884/ePjoCbEvX7Fy8WxaN2/8j9OVp8WAdrST88Fez80FtAdnes8ajE2F0sS/eM2pXw9xUUl76Crn+0PLduEn53un+pVpN7IrZbLa8tqRP3I3V1sevGwMjXu1VNgX4hvIwu7fKdVVUtecPIMWjaTl1+2U9gtdJ/TJasN6PPV7wo5C6KvdoQHd5PQdUNqG29N+VFeMLU2IDAxnt+cWgm4GKNiUcrSl54wBVGjgjJqaGs+Dwvl1zM+8yupzBy4aSeUm1TG2MslXT3FRXF9onDlzJpMmTVLYp2zWGsDc3BypVJpnljomJibPbHZu9uzZw7Bhw9i3bx9t2rT5Z6IL4H9+5vrfIC0tjfT0fx7KHxwcTNOmTSlbtixmZmbFoExQnOjr63/W9dLZvTsdh3dh65zfmNNlOvGx8czYMRdtPW2V55SvXYGx3pO5vP8C33WcxOX9Fxi7ZjKONZ1kNq+iXrJn6XZmd5nK7C5Teejjz6TfZmDrZCezsSxjxew/FhEZHMEP/ebwXYdJHFy9j5TkFADqdG5E7zlDOOG9n0Uu03lyM4AxW77DxEa5P81KWzBm80ye3Axgkct0Tqw5QJ+5Q6nVoYHMplxtJ4Z5T+D6gYv84DKV6wcuMsJ7IvY1y8tsdA31mPrnAtJSU/Eesoj5bSfx58JtJCUm5cmzRrt62Nd0Ij76lVJNHd270W5YZ7bP2ciCrjNIiI1nyvY5+frXsXYF3L0n4XPgInNdJuNz4CLu3pNwkPOvlq424QHP2D5no8p0okMi2TFnA3PaT2Jxr1nERcQwadssDEwNS9S/AJGPw5heb4RsW9h+stI8c/u3g7srbYd1ZuecjfyQ5c+J22ejlY8/HWpXYKT3RK4duICnyxSuHbjASO+JlJPTVLdzY/rOGcpR7z/xdJlG0M0Axm35HlMbcwWfP7n1mP1LdyjNx9jKBCMrE/Yt2sb89pNJexuDmqYOUn0LldqKwvv3H6hY3oHvJo0ulvRyI9HUo8+coRzz/pOFLtN4cjMAjy3fYyLnA3nMSlvikdUeFrpM4/ia/fSd66bQHhxqV2CE90SuH7jAApcpXM/yvXx70NTVIiIglN35tGWA++d9mVpvhGxbPUT5rGRJXnPZ1GpXD4eaTryOfpnnWAf3brI2vDBL36Ttcwpsw6O8J3H1wEXmu0zm6oGLjPKeRDk5ffU6N6bfnCEc896Pp8tUAm8GMH7Ldwpt2KKMFdP/WEh08HN+6j+PeR0nc2TVH6Qkf5TZhPqHsHnqGma3mVBgOYuD4oq51tLSwtDQUGFTNbjW1NSkTp06nD6teCN4+vRpGjdWfcO6a9cuhgwZws6dO+nUqVOx+kEZ/9ngumXLlowbN45p06ZhamqKtbU18+bNA+DZs2dIJBL8/Pxk9vHx8UgkEs6fPw/A+fPnkUgknDx5klq1aqGjo0OrVq2IiYnh+PHjVK5cGUNDQ/r3709SkuIPaWpqKmPHjsXY2BgzMzNmzZpFhtxsxMePH5k2bRq2trbo6enRoEEDWb4AW7ZswdjYmCNHjuDs7IyWlhahoaH5ljc9PR1PT09Kly6NlpYWNWvW5MSJE7LjEomE27dv4+npiUQikfkiP/z9/WnVqhU6OjqYmZkxcuRI3r59Kzs+ZMgQunXrxvz587G0tMTQ0JBRo0bx8WPOxZeRkcGPP/6Ig4MDOjo61KhRgz/++EN2PNvPZ86coW7duujq6tK4cWMeP35coL5sDh8+TN26ddHW1sbc3JwePXrIjr1+/ZpBgwZhYmKCrq4uHTt2JCgoZzZO3tcVK1ZEV1eXXr168e7dO7Zu3Yq9vT0mJiZ4eHiQlpYmO8/e3p4FCxbw9ddfo6+vj42NDatXr85X5/Tp06lQoQK6uro4ODgwe/ZsUlJSZMdzh4Vk+3fZsmWUKlUKMzMzxowZIzunZcuWhIaGMnHiRCQSiewRVWhoKF26dMHExAQ9PT2qVKnCsWPHCu1PVXQY1plD3n9y68R1IgLD+HXyKjS1tWjs2lz1OW5duH/5Ln+t3U9U8HP+Wrufh1f86eDWWWbje+YWd8/dIfppFNFPo9j3004+JH2gfO0KMpveU7/h7rnb7F78O6EPnhIb/gK/s7dJfJkAQOvhnfHZe5Yre84SHfycfZ5beR0VR/MB7fJoAmg2oB2vIuPY57mV6ODnXNlzFp9952gzsovMppVbJx5dvsfJtQd5ERzJybUHeeRzn1ZuOR1lu29deR35kt+nriP0bjCvImJ57HOfuLAXCvkZWZnQd74bm8evIi01Vammtm6dOLJmP3dOXud5YDgbJ69GU0eLBq7NVPq3rVsnHl6+x7G1B4gOjuTY2gME+PjTVk6j/3lfDnjt5o7c04LcXD98mYdX/IkNjyEyKILdC7eia6hH6UplS9S/AGlp6STGJsi2t6/e5MlPmX9bu3Xi2Jr9+J68QWRgOJsne2f5s6lKP7TJ8ufxtQeJDo7keJamNnKa2g7vzOW9Z7mc5Ys9nlt4HRVHCzlfXDtwkSOr/iDgir/SfCIDw/nlWy/unblNbNgLMlI+kPbuNRJNPZXaikKzRvUYN3IwbVs2KZb0cqOmY8QVufawV4kP5GkxoC2vIuPY67lF1h6u7DtLu5FdZTat3ToRcPkeJ7Law4ks37eW8/2D834c8tqdZxY2N6kfU0iMjZdtSQlvldqV5DUHYGxlyjfzh7N+/ErSUtPyHG/j1omjWfoiA8PZVAR9x7P0HV97gEc+/rnacBcu7z3LpT1niJK14Ze0lKu/7lO/xv/cHf5Ysp3wB0+JC4/B/9wd3rxMlNlc3PU3QTcCeBkRm285v3QmTZrEhg0b2LRpEwEBAUycOJGwsDDc3d2BzJnwQYMGyex37drFoEGD8PLyomHDhkRHRxMdHU1CQsK/pvE/nbneunUrenp6XL9+nR9//BFPT888dx8FMW/ePLy9vfHx8SE8PJw+ffqwYsUKdu7cydGjRzl9+nSeQdXWrVtRV1fn+vXrrFq1iuXLl7NhwwbZ8aFDh3LlyhV2797NvXv36N27Nx06dFAY9CUlJbF48WI2bNjAgwcPCozVWblyJV5eXixbtox79+7Rvn17unbtKkszKiqKKlWqMHnyZKKiopgyZUq+6SUlJdGhQwdMTEy4efMm+/bt4++//2bs2LEKdmfOnCEgIIBz586xa9cuDhw4wPz582XHZ82axebNm1m3bh0PHjxg4sSJDBgwgAsXLiik8/333+Pl5cWtW7dQV1fHzc0tX33ZHD16lB49etCpUyd8fX1lg/RshgwZwq1btzh8+DBXr14lIyMDFxcXhUFtUlISq1atYvfu3Zw4cYLz58/To0cPjh07xrFjx/j9999Zv369wk0BwE8//UT16tW5c+cOM2fOZOLEifm2LwMDA7Zs2cLDhw9ZuXIlv/32G8uXL8+3fOfOnSM4OJhz586xdetWtmzZwpYtW4DMhepLly6Np6cnUVFRREVFATBmzBiSk5O5ePEi/v7+LF269B+HAVnYWWFsaYL/JT/ZvtSPqTy6/gCnOhVVnle+dgX8L/op7Lt30RenOpWU2kvU1GjYpQlaOtoE3cm8wZJIJNRsVYfop1FM2zabNbc3M+/gEuq0qw+AVEOdMlUdeHjprkJaAZfu4aBCm0MtJwIu3VPY9/CiH2WrOaCmLs2yqcDDPDZ3cZAb9FdvU5dQ/xCGr5nIj7d+47ujS2nSr7VimSQShi734PT6w0SpeJxrYWeJsaUJD+TKkPoxlcfXH1I+H/861qrA/Vzlvn/xLo61VZ9TEFINdVr0b0tS4jvCA56VqH8BLO2tWXz9FxZc8mbY6vGY2yn2hcr8q2esr9Sfgdcf4piPPzM1KZbzwUU/mT+lGuqUVeKLB5fu5ZtuoZCoQUZJLTZWNCTqWnl88DAfH6iq67ztQbXvi0KFhlX46dYGPM+uZMDiURiYGeaxKelrTiKRMGK5ByfWH1Ia5mH+ifqU+/Eu5XO14Qd52vBdWf1JJBKqf1WbF0+jmLBtFj/f2sh3BxdTs129IpWxuEkvpq2o9O3blxUrVuDp6UnNmjW5ePEix44do2zZzMmHqKgohTWvf/31V1JTUxkzZgylSpWSbePHj/+0gheC/zTmunr16sydOxcAJycnvL29OXPmDE5OTgWcmcPChQtp0iTz7n/YsGHMnDmT4OBgHBwcAOjVqxfnzp1j+vTpsnPs7OxYvnw5EomEihUr4u/vz/LlyxkxYgTBwcHs2rWLiIgIbGxsgMxY2xMnTrB582YWLVoEQEpKCmvXrqVGjRqF0rls2TKmT59Ov379AFi6dCnnzp1jxYoVrFmzBmtra9TV1dHX18fa2rrA9Hbs2MH79+/Ztm0benqZsyne3t506dKFpUuXymKNNDU12bRpE7q6ulSpUgVPT0+mTp3KggULeP/+PT///DNnz56lUaNGADg4OHD58mV+/fVXWrRoIcvvhx9+kP09Y8YMOnXqxIcPH9DWVv34K/u8fv36KQzos30WFBTE4cOHuXLliuzxzY4dO7Czs+PgwYP07p0Zy5mSksK6detwdHQEMuv0999/58WLF+jr6+Ps7MxXX33FuXPn6Nu3ryyfJk2aMGPGDAAqVKjAlStXWL58OW3btlWqddasWbL/29vbM3nyZPbs2cO0adNUls/ExARvb2+kUimVKlWiU6dOnDlzhhEjRmBqaopUKsXAwEChTsPCwujZsyfVqlWT+fyfYmxpDGTGu8qTEBePua3qR9nGFsYkxCnerSfEJWBkYaywr3TFMsw7sBgNLU0+vPvAilFLZT84huZG6Ojr0Pnb7vyxbCe7l/xOjRa1GP/rNBb1m0P00yik6lLexCrm8yY2ASNzxXyyMbQwVmov1VBH38SAxNj4LJv4XDaZ+7MxL2NJ8wFtObPhKCfWHsC+Rnn6zBtK6scUru+/CGTObqelpnFu83GVfjK0yIxZTMyVX2JsPGalVfvXyMJY6Tm5/VsYarSqw6jVE9DU0SIh5jXLBnjy9vUbjC1NSsy/z/yC2DppDS+eRmJobkxHjx5M2b+QBW0n8S4+czZSmX+19XWzfKGoITE2AbPSykMXINufec/J1qRvYoBUXZrH529i41X6olBI1JDqGpP+IbFg25JGTYpEIlHqA8N824OifWJsfJ72kJ/vC8uD877cPnqVV89jMbezpOvkfkzcOZf5XaaR+jHnqVFJX3Mdv+1GWmo6f29W/lTR6B/oy9NPy11XOW04r6+z27CBuRHa+jp0/LYbB7128+eS7VRtUZPRv0xlWf95BF5/KDuv5YD29Jo5oBAl/ucUV8z1pzB69GhGj1YeZpU94ZWNfCTCf8V/PriWp1SpUsTExHxyGlZWVrJH+vL7btxQfETVsGFDhbdIGzVqhJeXF2lpady5c4eMjAwqVFCcnUlOTlaIt9XU1MyjXxWJiYlERkbKbgKyadKkCXfv3lVxVv4EBARQo0YN2cA6O7309HQeP34sG1zXqFEDXV1dmU2jRo14+/Yt4eHhxMTE8OHDhzyDzY8fP+ZZSF2+rKVKlQIyXxgoU6ZMvjr9/PwYMWKEyjKoq6vToEFOXJ+ZmRkVK1YkICDnxQ1dXV3ZwBoy69Te3l5httfKyipP28m+YZD/O/fi8fL88ccfrFixgidPnvD27VtSU1MxNMw7oyJPlSpVkEqlsr9LlSqFv7/yR83ZjBs3jm+//ZZTp07Rpk0bevbsmW9bUrYsUUPXpgxf/K3s72VDf1B6rkQiKbjHy/WClkQiUQiTAogKieT7jpPRNdSjXseGjPLyYGHf2UQGRciupTunb3Bi4xEAwh4+w6lOJVp/054dC7dkZpNbiETJPnlZeewlsiPk+Z+8TYbcn2qE+gdz6KddAEQ8eIaNkx3NB7Tj+v6LlKlajq+GurC403SFZMpWdWDtg99lf69wy4wJze0XlPhKWUkUT5Hk2VcYAq7eZ57LVPRNDWjRrw3frpnEwm4z5XL57/374Lyf7P+Rj8MJuROI58XVNOzZgjMbj8r8e3zVnyx/sA0ALR1N1KRZeeXxZ2HeF8ztz7z7lOnOzxf5oa2vg9TQmoy0FNKTXn9SGp8FBbS73P5RvtJCwb4viFtHctYejgwM59m9YBZfWUev6QNoLvdUqSSvubJVHWg71IX5nXImVrR0tOg1YwDdJ2dOkK3K0qes/yy4EResL2995Fhk143f6Zuczupzwx8+w7F2RVp8005hcH390CUeXr7LovPeBWgS/Jv8p4NrDQ0Nhb8lEgnp6emoqWVGp8hfQPJhAqrSkEgkKtMsLOnp6UilUm7fvq0waAIUBnM6OjqFWuYltxZ5CrtUjDLyO7cwacr75ejRo9ja2iocz/3yQG4/A4Xyq46OjspjqjrI3GVTVqefWs+qfHPt2jXZDHv79u0xMjJi9+7deHl55Zvep+gYPnw47du35+jRo5w6dYrFixfj5eWlciWSxYsXK8z8AzSwqc1Tvyeyv9U1M3UYWRgTH5MzADA0MyIhLl6llnglMzqGZoYk5prNTktJ5UVo5tvYT/2DcahRng5DO7Ppu1948/oNqSmpPM/16PT5kwgq1qvMm9dvSEtNyzPDZWBulCefbBJzzZBm2huSlpLK29dv87ExUpjxSYh5TXQuXdHBEdTqmHlDV75+ZQzMDPnBZ63suFRdSsNSZsTHxPNjv8wna+qamV2jkaWJwqyTYT5lgOwZKcU39Q3MjUiIVX2OKj6+TyYmNJqY0GhCfINYfG41zfq25uRvf5WYf5VpjHwUhmW5zBvwbP/2njtEZiNRU+OrAR0AMLQ0VuLPeFSRUICmt1ltLXebzs8X+aGlp834rd9DRjppiS8KPuFzID2NjIyMT2gPedtpZnt4I2ejJM1PaMu58375PJZ3CW+Z5zJVtr8kr7kK9StjYGbETz6/yPZJ1aWkp6Xx5mUSP/abi2aWPsNc+gpqawmx8bJZb4UyFaoNx8tsUlNS84SrRAU/x6muYkjf+zdJvH+T9wXuf4OifgDm/xOfxWohFhaZj1SyY1QBhZcb/ynXrl3L87eTkxNSqZRatWqRlpZGTEwM5cuXV9gKE66hDENDQ2xsbLh8+bLCfh8fHypXrvxJaTo7O+Pn58e7d+9k+65cuYKamprCrPvdu3d5//697O9r166hr69P6dKlZS9jhoWF5SmrnZ0dxUH16tU5c+aMyjKkpqZy/XrOSyUvX74kMDDwk/0ij7J6rlRJeSzxlStXKFu2LN9//z1169bFycmpwJdUC4OmpqbCi5bZ2NnZ4e7uzv79+5k8eTK//fabyjRmzpxJQkKCwlZOWpoXodGy7XlQOPExr6naNCdMSaqhTqUGVQi6rfrl0yd3AqnaTDG0qVrzmgTdVr1kF2TeRGT/+KWlpBJy7wmlHGwUbEqVsyHueQxpKamE3Q+hclPF2fnKTasTokJbiG9QHnvnZjUI9Q8hPevFohDfQCo3rZbLpjohdwJz0rn9GKtcuizL2fDyeeYLPtf3X+SHDlNZ5DJNtsVHv+LE+sMs+2a+bDAbGRRBfMxrnOU0STXUqdjAmSf5+DfYN5AqucpRtVkNgu8U/oVglUhAQ1OjRP2bG3VNdazL25KQdYOnyr8n1x/mzcuEPP6s0MCZ4Hz8GeIbqHBOtu5sf6alpBKqxBfOTavnm64ytPV1mPj7bNJSUrMG1iX50LtoZKQmK20PqnyQWdeFaQ+qff+p6BnrY2pjxsuIWNn1VtLXnM/+C8ztMJl5LlNk2+volwr9Qra+KkXUp6oNP8nVhvPYyNVfWkoqz+4FY52rb7MqV0rWt5UEJRVz/SXwWQyudXR0aNiwIUuWLOHhw4dcvHhRIR72nxIeHs6kSZN4/Pgxu3btYvXq1bJA9goVKvDNN98waNAg9u/fz9OnT7l58yZLly79Rys6TJ06laVLl7Jnzx4eP37MjBkz8PPz++QA+m+++QZtbW0GDx7M/fv3OXfuHB4eHgwcOFBhbcePHz8ybNgwHj58yPHjx5k7dy5jx45FTU0NAwMDpkyZwsSJE9m6dSvBwcH4+vqyZs0atm7d+slllWfu3Lns2rWLuXPnEhAQgL+/Pz/++COQGWfv6urKiBEjuHz5Mnfv3mXAgAHY2tri6ur6j/O+cuUKP/74I4GBgaxZs4Z9+/ap9Hf58uUJCwtj9+7dBAcHs2rVKg4cOPCPNdjb23Px4kWeP39OXFzm2qMTJkzg5MmTPH36lDt37nD27Nl8byaULUsklUjz2J3YeISuY3pSt30DSlcowyivsXz8kIzPoYsym1E/j6PPtG9kf5/cfIRqzWrS2b07pRxt6ezenSpNqnNi0xGZTZ+p31CxXmXMS1tQumIZek/9msoNq+Bz8JLM5tivh2jYuQkt+7XBqqw1bQd3pFabuvy9LXNFnDMbjtCkb2sa9f4Ka0dbes0ejImNuWxdZddp/RnsNUaW3qXtpzC1NafnrEFYO9rSqPdXNO7Tir/X/yWzObfpGJWb1aCduytWjja0c3elUpNqnJVbh/bMxqOUq+VEh9HdsShrRb2uTWjavzUXtp0E4F38WyIDwxW2tNRUEmLjiQ6JVPDv6U1H6TymB7Xb18e2gh3Dlo3h4/tkrh/K8cNwLw96Tvta7pxjVGlWg47u3bB2tKGjezcqN6mmsFaulq42ds722DnbA2BuZ4Wds71s2S1NHS16TP0ah1pOmNmaU6ZKOYYscce0lBk3j/qUqH97fDcQpwaVMSttgX3N8oxYOxltfR2u/XmhAP++5tRvf+Eypge12tfHpoIdQ2X+zJmEcPMaS3c5f57ZdBTnZjXo4O6KtaMNHdxdqdykGn/LaTq94QjN+ramSZYv+swejKmNORd2nJLZ6BrpY+dsT6nypQGwcrDBztleNjOrpafNxN9noaWjxdZp6zJfZpRIM7diICnpPY8Cg3kUGAzA88gXPAoMJiq6aGGRqkh/n0DTvq1pnOWD3lk+uJjlg27TvmaIV87L7xe2n8bM1pzeswZj7WhL495f0aRPK06tPyyzyfZ9+6z20D7L92dyteXSzvaUlrVlS0o728uWANTS1abndwNxqF0Bs9IWVGjozJiNM3j76o3SlTtK6pp7F/+W54HhCltaalqefuHvTUcV2rCbEn1uXh70kNP396ZjWW24W1Yb7qakDf+V1YZbUcrRlr6zh2BqY855uTZ8cv0h6nVuTLN+bbAsa81XgzpQo3Vdzv1+Uub7jqO7U7aqg8ISfoKS4bP5iMymTZtwc3Ojbt26VKxYkR9//DHPt+M/lUGDBvH+/Xvq16+PVCrFw8ODkSNzPnqwefNmFi5cyOTJk3n+/DlmZmY0atQIFxeXT85z3LhxJCYmMnnyZGJiYnB2dubw4cNFenlTHl1dXU6ePMn48eOpV68eurq69OzZk59//lnBrnXr1jg5OdG8eXOSk5Pp16+fwjJ/CxYswNLSksWLFxMSEoKxsTG1a9fmu++UL+hfVFq2bMm+fftYsGABS5YswdDQkObNc5aG27x5M+PHj6dz5858/PiR5s2bc+zYsTzhFp/C5MmTuX37NvPnz8fAwAAvLy/at2+v1NbV1ZWJEycyduxYkpOT6dSpE7Nnzy7Ukoj54enpyahRo3B0dCQ5OZmMjAzS0tIYM2YMERERGBoa0qFDhwJXJSkMR345gKa2JkMWjkTXUI9gvyCWDvDkw7sPMhtzG3My5MJWgm4/xtvjZ3pP7k+vyf14EfYC77FeBMt9nMTQwgj35eMxtjQh6U0S4Y+e8eOghdy/nPO+wK2T19n0/a90Hd2DQfOHERUcyUr3Hwm8lTkDfvvIVfSMDeg0vieGFiZEBYazZuhiXj3PvOEwsjTB1DbnB+BlRCxrhi6m1+zBtBjYnoSY1+ydvxnfEzk/wCF3AtnosYKuU/rRZVJfYsOi2TB2Bc/kwmVC7wXzy6hldJv2NS7jexIXHsM+z63cPKT4FKkwHP/lIJramgxYMAI9Iz1C/ILwGrhAwb+mtuaky60oEXznMb94LKfHlP50n9SXmLAX/DJ2ucLHX+yrOzJ9d07YT//ZQwC4/Mc5Nk1ZQ3p6OqUcbWnSswX6Joa8i3/D03vBLO49W/ZYuKT8a1LKFLdV49E3MeTtq0Se+gbxY/fvZfnmx4lfDqGhrcnXC4Zn+fMJywcuJDmXP+XDx4LvBLLeYwXdpvTDdVI/YsOiWT92uUKI1K0jPugb69N5fC+MLDI/wLFq6CIFTTXb1mXospybjVHeEwE4vGIvf63YR9lqDjjUynwCuOiiYqxqyqswSFe+XGNhuf8oCDePnDj/H1evB8C1Yxt+mKV8nfCikPHxHft+PEwnOR94y/kgb3uIYfXQxfSRaw975m/K0x42eKzAdUo/umb5/rexyxXaQ9nqDkyWa8t9stqyzx/n2TplDelp6dhWKkPDHi3QNdQjIeY1j6894LexyxWuo2xK6porLCey9H0jp+/ngQsU2rCZrTkZufSt91hOtyn96TapL7FhL7LacI6+m0d80DM2oIus/sJYmasN+568we/f/4bL6O70nzeU6JBI1n27jCdZfW5KcgoV6lWm7dBO6BoVzxKSBfG/OutcHEgyCn5TQPCFMGTIEOLj44v0ie//Ff7rLyP+1wwo26Ngo88IA8lnc99eKJK/sJ8Jrc/joWOhSf2CQiwA1t5aWtISiszYutMLNvqMSPnC2sSXdcXBhmd/FGz0D/nFrnhWJXEP314s6XxOfFm/gAKBQCAQCASCEufLmpL4b/nSbsY+G/T19VVuly5dKjiBXCxatEhleh07dvwXSvBpVKlSRaXOHTuUf1pYIBAIBAKB4P8LYub6E8lvNZPcy9wVBnd3d/r06aP0WH7L28mTe+H0f4Njx46pXCZR/sXK/5pnz56VWN4CgUAgEPx/Q8xcq0YMrj+R8uXLF2t6pqammJqaFmua/wbZnxcVCAQCgUDw/5cvK2r+v0WEhQgEAoFAIBAIBMWEmLkWCAQCgUAgEBQJ8YVG1YjBtUAgEAgEAoGgSIiYa9WIsBCBQCAQCAQCgaCYEDPXAoFAIBAIBIIiIWauVSMG1wKBQCAQCASCIiFWC1GNCAsRCAQCgUAgEAiKCTFzLRAIBAKBQCAoEmK1ENWIwbVAIBAIBAKBoEiImGvViMG1QCAQCAQCgaBIiJhr1YiYa4FAIBAIBAKBoJgQM9cCgUAgEAgEgiKRLuauVSIG1wLBF4CpRKOkJRSJJNJKWoLgMyLtC/sRHlt3eklLKDLet5aWtIQiMfoL87E64u293IiYa9WIsBCBQCAQCAQCgaCYEDPXAoFAIBAIBIIi8WU9j/pvEYNrgUAgEAgEAkGREGEhqhFhIQKBQCAQCAQCQTEhZq4FAoFAIBAIBEVCfKFRNWJwLRAIBAKBQCAoEmIpPtWIsBCBQCAQCAQCgaCYEDPXAoFAIBAIBIIiIeatVSMG1wKBQCAQCASCIiFWC1GNGFwLBAKBQCAQCIqEiLlWjYi5FggEAoFAIBAIigkxcy0QCAQCgUAgKBJi3lo1YnAtEAgEAoFAICgSIuZaNWJw/f+Eli1bUrNmTVasWFHSUvLw6NEjhgwZgp+fH5UqVcLPz+9fzzO3P+zt7ZkwYQITJkwo8NwtW7YwYcIE4uPj/1WNBdF0QDtaj+qCoaUx0YER/Om5lZCbj1Tal29Qme6zBmFdoTQJL15z5tfDXNnxt+x4o36tqN+jOaUq2gEQ7v+Uv37aRdjdYJlN29HdqN6+PlaONqR8+MjTO4EcXrKDmJAopXl2ndCH5v3boGukx1O/J+yY/RuRQRH5lqt2hwZ0m9wPizLWxIZFc2DZLnxP3lCwaTmgPe1HdcXY0oTIwHB2e24h6GaA7LiWrjY9p39DzXb10TfR52VELGe2HOP89lMAmJW2YOnldUrzXzvai1vHrgLgOqEPLbL0h/g9YXsh9Nfp0IDucvr3L9vFHTn9FepXpsNIV+yrOWBsZcrqkUvxPXVT0QftG9Dym7aUreqAgakhc12mEP7wmYJN8wHtaDuqK0aWxkQFRrDPcwtP8ql/pwaV6TVrMKWy6v/Ur4e5tOO0gk2tDg3oMrkv5mWsiAt7waFlu7h7Mkeblp42XSf3pUa7+hiYGxH+4Cn75m8h9F5OG6nZvj7NvmlDmaoO6Jsa8oPLVIIfPlWpq6R87DqhD/W7NMG0lBmpKamE+oewf9kuQvyCAGgxoB3tRrliZGlMZGAEez03F+BfZ3rPGoxNhdLEv3jNqV8PcVGJf7tO7odFGStis/zrJ6fbqX5l2o3sSpks3WtH/sjdXLoHLxtD414tFfaF+Abm66+icsvPn807/+DhoyfEvnzFysWzad28cbHmAdBlQu+s/kGfp35B7Jy9oVD9g6ucDw8q7R/a0V6u7vZ4biYoq+6k6lK6TelH1Za1sShjyfs3SQRc9ufPpTtIiHmtNM9xW76jWstaJMbFo2Og+1ldb50m9KZul8aYlDIjLSWVMP8QDi3bna8PBf8+IuZaUOLMnTsXPT09Hj9+zJkzZ0pEw82bNxk5cmShbPv27UtgYPH+mBWVWp0b0WPOYE55H+BHlxkE33zEt1tmYmJjptTetLQFozZn2v3oMoPTaw7Sc+5QanSoL7NxaliF24d9WN3fk597zOZ1ZByjf/8eIysTmU35BpW59PtJfu4+izUDf0BNqsbobd+jqaOVJ88O7t1oO6wzO+dsZGHXGSTExjNp+xy09LRVlsuhdgVGeU/i6oGLzHeZzNUDFxnlPYlyNZ1kNvU6N6bfnCEc896Pp8tUAm8GMH7Ld5jamMts+s4eQtUWNdk4cRWz20zg9MYj9J83jJpt6wHwKvIlk+oNl20T6g3nwM+7+fDuPf7nfQHo6N6NdsM6s33ORhZk6Z+yfQ7a+eh3rF0Bd+9J+By4yFyXyfgcuIi79yQc5PRr6WoTHvCM7XM2qkxHS1eLoFuP+GPpDqXH63RuRO85QzjhvZ9FLtN5cjOAMVu+U1n/ZqUtGLN5Jk9uBrDIZTon1hygz9yh1OrQQGZTrrYTw7wncP3ARX5wmcr1AxcZ4T0R+5rlZTYDlrpTqWl1tkzyZmH7yQRcusf47bMV2oimrhbBtx5zcOlOleXLpiR9HB0SyY45G5jTfhKLe80iLiKGSdtmYWBqSN3OjekzZyjHvP9kocs0ntwMwGPL95jItTFF/1rikeXfhS7TOL5mP33nuin416F2BUZ4T+T6gQsscJnC9QMXGJnLv5q6WkQEhLI7H90A98/7MrXeCNm2esjifO2Lyvv3H6hY3oHvJo0u1nTl6eDuKusffsiq+4nbZxfYP4z0nsi1AxfwdJnCtSwflpPzYd3Ojek7ZyhHvf/E02UaQTcDGLfle1n/oKmjRZkqDhxd/QcLOk9nnfsyrBxKMXbDdKV5thnWCSMLYwDuHLv22V1vMSGR7JmziYXtp7Cs1xxeRsQybtusgiugGEgno1i2/0XE4FrwyaSlpZGe/s8fDAUHB9O0aVPKli2LmZnyzurfxsLCAl1d3ULZ6ujoYGlp+S8ryp+vhnfi2t6zXN1zlhfBz9nvuZXXUS9pOqCdUvumA9ryOvIl+z238iL4OVf3nOXavnO0GtlFZrNtwmoubz/F84ehxARHsmvGr6hJJFRoUk1ms27wYm78cYHooAgiA0LZOXUdpqUtsKvmkCfPNm6dOLpmP3dOXicyMJxNk1ejqaNFA9dmKsvV1q0TDy/f4/jaA0QHR3J87QEe+fjTxq1Tjs3wLlzee5ZLe84QFfycPZ5beB31kpZyZXesXQGfPy/w+NoDXkbEcnHX30QEPKNsNUcAMtLTSYyNV9hqt2/AzSM+JCd9kGk5kqX/eWA4G4ug/1iW/mNrDxDg409bOf3+53054LWbOyevq0zn6oGL/LXqDx5euaf0eOvhnfHZe5Yre84SHfycfZ5beR0VR3MV9d9sQDteRcaxz3Mr0cHPubLnLD77ztFGrv5buXXi0eV7nFx7kBfBkZxce5BHPvdplaVdQ0uDWh0acGDxdp7cCCA29AVHV+wjLiKGFnL53jhwiWOr/iTgir/K8sn7q6R8fP3wZR5e8Sc2PIbIoAh2L9yKrqEepSuVpc3wzlyR8+9ezy28jopTKKc8LQa05VVkHHs9t8j8e2XfWdqN7Cqzae3WiYDL9ziR5d8TWf5tLaf7wXk/DnntzjMTm5vUjykKbTcp4W2+9kWlWaN6jBs5mLYtmxRruvK0duvEsTX78T15g8jAcDZP9s6q+6Yqz2kj6x8OZvUPmT5U7B86c3nvWS5n1d2eXHX3/k0Sywcu4NbRq7wIiSTEN4hdczdhX91R4QYdoHTlsrQd1pmMjMwB4KPL/p/d9Xbz8BUeXfEnLjyGqKAI/li4DR3Dwv2W/VMyimn7X0QMrv9jWrZsybhx45g2bRqmpqZYW1szb948AJ49e4ZEIlEIi4iPj0cikXD+/HkAzp8/j0Qi4eTJk9SqVQsdHR1atWpFTEwMx48fp3LlyhgaGtK/f3+SkpIU8k5NTWXs2LEYGxtjZmbGrFmzZJ0GwMePH5k2bRq2trbo6enRoEEDWb6QGQ5hbGzMkSNHcHZ2RktLi9DQ0HzLm56ejqenJ6VLl0ZLS4uaNWty4sQJ2XGJRMLt27fx9PREIpHIfKGKbB/t3r2bxo0bo62tTZUqVRR0Aly4cIH69eujpaVFqVKlmDFjBqmpqSrTtbe3VwiZiY+PZ+TIkVhZWaGtrU3VqlU5cuSIgh/k+euvv6hTpw7a2to4ODgwf/58hfzmzZtHmTJl0NLSwsbGhnHjxuVbzvyQakixq+rAo0uKA69Hl+5Srk4F5eWrVYFHl+4q2l+8S5lqDqipS5Weo6mjhZqGOknxqn+4tQ0yO/HcNuZ2lhhbmvBALs/Uj6k8vv6Q8nUqqkzPoVYFHubS+eDiXcrXzjxHqqFO2aoOCukCPLh0F0e5dINuPaJGm7oYW5kCULFRFazK2fDgop/SfMtWdaBslXJc3HMWAItP1O9YqwL3c2m7f/EujrVVn1NUpBrqlKnqkMdPAZfu4aBCm0MtJwJytZeHF/0oK1f/mb7PbXMXh9qZbUpNXYpUXUpKcoqCTcqHjzjWq1TkcnxOPpZqqNOif1uSEt8RGRSu1L8PL91TaGPyqPJdXv/mbtt+n6S7QsMq/HRrA55nVzJg8SgMzAyLnEaJoqautO4Drz9U6WMo2IfZ/UMem3zqDkDHQJf09HSSEt/J9mlqazJi1QR2e26mdKWyec75HK83qYaUpv3bKJRDUDKImOsSYOvWrUyaNInr169z9epVhgwZQpMmTXBycir45CzmzZuHt7c3urq69OnThz59+qClpcXOnTt5+/Yt3bt3Z/Xq1UyfnvOoa+vWrQwbNozr169z69YtRo4cSdmyZRkxYgQAQ4cO5dmzZ+zevRsbGxsOHDhAhw4d8Pf3l2lLSkpi8eLFbNiwATMzswJncFeuXImXlxe//vortWrVYtOmTXTt2pUHDx7g5OREVFQUbdq0oUOHDkyZMgV9ff1ClX/q1KmsWLECZ2dnfv75Z7p27crTp08xMzPj+fPnuLi4MGTIELZt28ajR48YMWIE2traBQ7eIfOGoGPHjrx584bt27fj6OjIw4cPkUqVD0JPnjzJgAEDWLVqFc2aNSM4OFgWYjJ37lz++OMPli9fzu7du6lSpQrR0dHcvXtXaVqFQc/EEKm6lDexCQr738QmYGBurPQcQwsjpfZSDXX0TQxIjI3Pc07X6V+TEP2Kx/nMQHafNYjgGwFEBYYr7DeyyHxsmTvdxNh4zEpbqEzPyMKYhFznJMTGY5j1WFbfxACpupTEXGVJjE3ASK7su+ZtYvASd5ZdX09qSioZ6RlsnbGOJ7eUx0g269uKyKBwgu88BsDwH+hXdk72Y+XiwCDLB8rq00hl/RsXWP+ZNvG5bHJ8n/zuA8G3H+MyrifRT56TGBdPva5Nsa9Zntin0UUux+fg4xqt6jBq9QQ0dbRIiHnNsgGZN/mZbUwxjzex8Rjm69+8mnL7V1m7NSyi7gfnfbl99CqvnsdibmdJ18n9mLhzLqB68uBzQ6KW2Zcq84dZaeWhN5Bd96p9mNM/xCvYvImNV3ltqGtp0GP6N9w4dJkPb9/L9veZM4Tg248JuROEVMkExOd0vVVtVZthqyegqaNJYkw8qwYsZMbh4g0VUoZ4oVE1YnBdAlSvXp25c+cC4OTkhLe3N2fOnCnS4HrhwoU0aZL5yG7YsGHMnDmT4OBgHBwyH8/36tWLc+fOKQyu7ezsWL58ORKJhIoVK+Lv78/y5csZMWIEwcHB7Nq1i4iICGxsbACYMmUKJ06cYPPmzSxatAiAlJQU1q5dS40aNQqlc9myZUyfPp1+/foBsHTpUs6dO8eKFStYs2YN1tbWqKuro6+vj7W1daHLP3bsWHr27AnAunXrOHHiBBs3bmTatGmsXbsWOzs7vL29kUgkVKpUicjISKZPn86cOXNQU8v/gc3ff//NjRs3CAgIoEKFzFmEbL8q44cffmDGjBkMHjxYZrtgwQKmTZvG3LlzCQsLw9ramjZt2qChoUGZMmWoX7++yvSSk5NJTk5W2JeWkYZUotjBZ+R6oCaRSCjSQzaJRGk6AK1HdaV21yas7jef1FwzJ9n09nTDpnIZVvaaS13XpvRdNEJ2bKXboiyRSjRmFKSx4HLlLbuiReshLjjUdGL1sMW8fB6HU/3KDFgwgoSY13nCFTS0NGnSsyVq6lLWPvgdgBVui7Pk59IqkeTd9wn6i4M89SZRXpeq7SWyI+T5n7xNzt4tE70Z+NO3LLnxK2mpaYTff8rNQ1coU7VcgXobujZj0KKc9xo+Bx8HXL3PPJep6Jsa0KJfG75dM4lVw5cqNy4gD+XXY16rPEkWUfetIz6y/0cGhvPsXjCLr6yDD3FkfEzK58ySQ6Klj1Q/Z9CclpA1OMxT94XoHgrhQ2XtWNm1IVWXMnL1BCRqEnbM3iDbX6NNXSo1qsqCTtPQ1tdRLuMzut4Crz5gkctU9E0NadKvNcPXTFSpqzjJr/z/3xGD6xKgevXqCn+XKlWKmJiYT07DysoKXV1dhQGglZUVN24oxu01bNhQocNv1KgRXl5epKWlcefOHTIyMmSDyWySk5MV4qA1NTXz6FdFYmIikZGRspuAbJo0afKPZm6ztWejrq5O3bp1CQjIXC0iICCARo0aKZS1SZMmvH37loiICMqUKZNv2n5+fpQuXTqPL1Rx+/Ztbt68yQ8//CDbl5aWxocPH0hKSqJ3796sWLECBwcHOnTogIuLC126dEFdXfnlt3jxYubPn6+wr76RMw2MqwLw7nUiaalpeWa89M0NeROnOFuSTWJsAgYWRgr7DMwNSUtJ5d1rxZCOViM603ZMN9Z8s5DIR2FK0+s5byhV29RhZZ95xEe/wv/vWzzLWmUBIFUz8wbG0NJEYSbawNyIRBUaIXOWOnvWOxtDcyPZbNXb129IS03LM0uZmW5mPhpamvSY2p81o37C/9wdACIehVLG2Z72I7vmGVzXcWmIVF3K4t6zeZcV3qKumVk3Rrn0GxZCv2Eu/QbmRiTEqj6nqLzJ8kHu+s/Pt4lyM2I59pn1/zar/pXbGCnMFMaFvWB533lo6mihra9DYmw8w7wnEBdecP/l9/dN2Uoc8Hn4+OP7ZGJCo4kJjSbEN4jF51ZTs229T/RvXk2Z/n0jZ6MkzX/YNhJj43n5PBZzS83PdqiT8fEdqa8/5OzI6psNLY2V1H08qkgowIf59w+KfpaqSxm1ZhLmdpZ49Z+vMGtdqXFVLMpasfLelkz9GRlIJBJGrpvMk5sBLO83/7O63j6+TyY29AWxoS946hvE/HMrleoS/HeImOsSQENDQ+FviURCenq6bEZVftYmJUX5rKF8GhKJRGWahSU9PR2pVMrt27fx8/OTbQEBAaxcmXOh6ujoqJiRUU1u++yOqrjJTlNZ+tk+LUy+OjoqZipUkJ6ezvz58xX85u/vT1BQENra2tjZ2fH48WPWrFmDjo4Oo0ePpnnz5irrdubMmSQkJChsdY0qy46npaQRfj+Eik0Vb3IqNa3O09vKVzF55htIpdz2zaoT5h9CemqabF+rkV1o79GTXwYvJtw/RGlaveZnrjLi/fUCXkXEApmPMONCX8i2yKAI4mNeU0UuT6mGOhUbOPPk9mOVvgzxDcQ5l07nZjV4khWukZaSSuj9kLw2TasTnJWuVEOKuqZGntnP9PR0JJK8XV6zvq3x+/sWT+8+kQ20svU7F1F/sG+gQpkBqjarIQs3KQ7SUlIJux9C5Vz5VG5anRAV2kJ8g/LYOzerQahc/Yf4BlK5abVcNtUJuZO3TX18n0xibDy6hno4N6/BvdM389jk5sO7DzL/frY+loC6ulSlf4NV+jewkP7Na/NPdesZ62NqY0ZGelrBxiVFRgakp+ZsaSlK675CA2eVPgbV/UNwrv4hj59z1V32wNrS3pqfv1kgu6nO5vi6g8zvMAVPl6l4ukzl+ePMSYY/Fmxl25S1wGd+vf0Lv6/KSC+m7X8RMbj+jLCwyIwzjIrKWTO4ONd8vnbtWp6/nZyckEql1KpVi7S0NGJiYihfvrzCVpRwDXkMDQ2xsbHh8uXLCvt9fHyoXLmyirMKh3xZUlNTuX37NpUqZb7k4ezsjI+Pj8LgysfHBwMDA2xtbQtMu3r16kRERBR6ub3atWvz+PHjPH4rX7687IZJR0eHrl27smrVKs6fP8/Vq1fx91cey6ylpYWhoaHCljsk5NyGozTq24qGvVti5WhL99mDMLEx53LWOqpdpvVngNcYmf3l7acxsTWn+6yBWDna0rB3Sxr2acXZ9X/JbFqP6krnyX3ZOW0dLyNiMLAwwsDCCE3dnGX2ei8YRt3uzdg2fhUf3r2X2WhoKd7cAfy96SguY3pQq319bCrY4bZsDB/fJ3P90CWZjZuXBz2mfS13zjGcm9Wgg3s3rB1t6ODejcpNqvH3pqMym9Mb/qJZ39Y06d2KUo629J09BFMbc87vyFzD+sPb9zy+9oDeMwdSsWEVzEtb0rhXSxr1aIHvKcXVIyzLWuNUvzIX9+RdAvL0pqN0HtOD2u3rY1vBjmFK9A/38qCnnP7Tm45RpVkNOmbp75il/7Scfi1dbeyc7bFztgfA3M4KO2d7hZUK9Iz0sXO2x6Z8aQCsHWywc7aXzXSd2XCEJn1b06j3V1g72tJr9mBMbMxl6+i6TuvPYLn6v7T9FKa25vScNQhrR1sa9f6Kxn1a8bdc/Z/bdIzKzWrQzt0VK0cb2rm7UqlJNc7Kaa/cvAbOLWpgVtqCSk2rMWH3XF6EROKz77zMRtdIj9LOZSmVpd0ql/bPwceaOlr0mPo1DrWcMLM1p0yVcgxZ4o5pKTNuHvXh7w1HaNq3NY2z/Nt79mBMbcy5mNXGuk37miFeY2X5Xdh+GjNbc3rPGoy1oy2Ne39Fkz6tOLX+sMzmzKajODerQfss/7Z3d6Vyk2qcyaW7tLM9pWW6LSntbC9bAlBLV5ue3w3EoXYFzEpbUKGhM2M2zuDtqzdkfCy+l9iSkt7zKDCYR4GZ6yk/j3zBo8BgoqKL9oQ1P87k6h+Gyuo+5/fCzWss3eXqPtuHHdxds/oHVyX9w5Gs/iGz7vpk1d2FrLpTk6rhvm4yZas5sGHCKtSkahhaGGNoYYxUI/NpSmJsPJGB4bLtqPd+ACzKWaOhpfnZXG+aOlq4Tu1PuVpOmNqaY1elHAOWjMKklGlxVVO+lORSfGvXrqVcuXJoa2tTp04dLl26lK/9hQsXFBYd+OWXXz4p38IiwkI+I3R0dGjYsCFLlizB3t6euLg4Zs0qvvUqw8PDmTRpEqNGjeLOnTusXr0aLy8vACpUqMA333zDoEGD8PLyolatWsTFxXH27FmqVauGi4vLJ+U5depU5s6di6OjIzVr1mTz5s34+fmxY4fy9XsLy5o1a3BycqJy5cosX76c169f4+bmBsDo0aNZsWIFHh4ejB07lsePHzN37lwmTZpUYLw1QIsWLWjevDk9e/bk559/pnz58jx69AiJREKHDh3y2M+ZM4fOnTtjZ2dH7969UVNT4969e/j7+7Nw4UK2bNlCWloaDRo0QFdXl99//x0dHR3Kls37Bnph8T1yFT1jA9qP74mRhQlRgeH8MnQJr5/HAZmPW01sc8J5XkXE8uvQJXSfPZhmA9uTEPOaP+dv5u6JnNChpgPboq6lwbBfJivkdXzFPo6v+AOAZgMzl4Aat2eegs32KWu58ccFhX0nfjmIprYm3ywYgZ6RHiF+Qfw8cAHJ73IeD5vZmpORkTN3EXznMes9ltNtSn+6TepLbNgL1o9dzlO5cIKbR3zQMzagy/heGFmYEBkYxsqhi3iVVXaAXz2W03Pa1wxfMQ49Y31ePo/jwE+7ZB+RyaZJn1bER7/iwcW8YUrHs/QPkNPvNXABH+T0m9qak55L/y8ey+kxpT/dJ/UlJuwFv4xdrhAOYV/dkem7c8J++s8eAsDlP86xacoaAGq2rcuwZTmDt2+9JwFwaMVeDq3Yy+2s+u80vieGWfW/ZuhimQ+MLE0wtc0ZrL+MiGXN0MX0mj2YFln1v3f+ZnxP5NxshNwJZKPHCrpO6UeXSX2JDYtmw9gVPPN7IrPRMdCl27T+GFubkZTwFt/j1zm0bJfC04/qbesyeFnOQGO490QF7Z+Dj9PT0ynlaEuTni3QNzHkXfwbnt4LZnHv2UQGRRAb9Bw9Y306ydpYON5ybSyvf2NYPXQxfeT8u2f+pjz+3eCxAtcp/eg6qR+xYdH8Nna5gn/LVndgspzuPlm6ff44z9Ypa0hPS8e2Uhka9miBrqEeCTGveXztAb+NXc6Cv6ZRXNx/FISbR877Oj+uXg+Aa8c2/DBrsqrTisSJXw6hoa3J1wuGZ9X9E5YPXKjQP5jamitMkgTfCWS9xwq6TemHa5YPM/uHHB/eOuKDvrE+neXqbpVc3ZmUMpOtdz/3+DIFTT/1m0vgtYd5tN464sMo74nU7dSYpv3afDbXW3p6OlaONozsORk9EwPexb8h9F4wXr3n/icvNJZUGNKePXuYMGECa9eupUmTJvz666907NiRhw8fKg37fPr0KS4uLowYMYLt27dz5coVRo8ejYWFhezdreJGklHwmyOCYkTZlxK7deuGsbExW7ZsISAgADc3N+7evUvFihX58ccfadeuHefOnaNly5acP3+er776itevX8uWg1P2xcB58+Zx8OBB2cx3y5YtqVKlCunp6ezcuROpVMqoUaNYtGiRLFQiJSWFhQsXsm3bNp4/f46ZmRmNGjVi/vz5VKtW7ZO+TJiens7ChQtZv349MTExODs7s2TJEoVBas2aNenWrVuhVvJ49uwZ5cqVY+fOnaxcuRJfX18cHR3x9vamVatWMrsLFy4wdepU7t69i6mpKYMHD2bhwoWyOOeCvtD46tUrpkyZwuHDh3n37h3ly5dnyZIldOrUSakfTp48iaenJ76+vmhoaFCpUiWGDx/OiBEjOHjwIEuWLCEgIIC0tDSqVavGwoULad26daH9OM6+b6FtPweS+IwfUSvhS3s0qfWFPXRM/sI8rMF/81i9OPG+peJFzM+U0XWVf7Tlc0X9C2sT657tLdjoH/KtfZ9iSaeoWhs0aEDt2rVZty7nK7uVK1emW7duLF6c96Zi+vTpHD58WPZeFoC7uzt3797l6tWrny48H8TgWvBFkT249vX1pWbNmiUt5z9DDK7/Xb6soZ8YXP/biMH1v48YXP+7/BeD61H2vYslnVWPt+dZIUtLSwstrbxf/v348SO6urrs27eP7t27y/aPHz8ePz8/Lly4kOec5s2bU6tWLYX3xw4cOECfPn1ISkrK885acfBl9dACgUAgEAgEghKnuF5oXLx4MUZGRgqbshlogLi4ONLS0rCyslLYb2VlRXS08vX2o6OjldqnpqYSFxen9Jx/ihhcC/4R+vr6KreCXjBQxqJFi1Sm17Fjx3+hBAKBQCAQCEoKZStkzZw5M99ziroK2T9ZQexTEC80Cv4R+a1mUpiVOXLj7u5Onz7K47h0dHSwtbUtxAcmBAKBQCAQ/JsU10dkVIWAKMPc3BypVJpnljomJibP7HQ21tbWSu3V1dUVvuNRnIjBteAfUb58+WJNz9TUFFPT/2YZIYFAIBAIBJ9GSbxJoampSZ06dTh9+rRCzPXp06dxdXVVek6jRo3466+/FPadOnWKunXr/ivx1iDCQgQCgUAgEAgEXwiTJk1iw4YNbNq0iYCAACZOnEhYWBju7u5AZpjJoEGDZPbu7u6EhoYyadIkAgIC2LRpExs3bmTKlCn/mkYxcy0QCAQCgUAgKBLFFRZSVPr27cvLly/x9PQkKiqKqlWrcuzYMdm3I6KioggLC5PZlytXjmPHjjFx4kTWrFmDjY0Nq1at+tfWuAYxuBYIBAKBQCAQFJGSXGBz9OjRjB49WumxLVu25NnXokUL7ty58y+rykGEhQgEAoFAIBAIBMWEmLkWCAQCgUAgEBSJdLFyl0rE4FogEAgEAoFAUCTE0Fo1YnAtEAgEAoFAICgS6WJ4rRIRcy0QCAQCgUAgEBQTYuZaIBAIBAKBQFAkSmopvi8BMbgWCAQCgUAgEBSJklyK73NHhIUIBAKBQCAQCATFhJi5Fgi+AFp+kJa0hCLR59XlkpZQJBJmNCtpCUViyrYva85IA0lJSygSKV/g4+7RdaeXtIQisfbW0pKWUCTG1Z1R0hI+O8QLjaoRg2uBQCAQCAQCQZEQMdeqEWEhAoFAIBAIBAJBMSFmrgUCgUAgEAgEReLLCk77bxGDa4FAIBAIBAJBkcgQnz9XiQgLEQgEAoFAIBAIigkxcy0QCAQCgUAgKBJitRDViMG1QCAQCAQCgaBIiJhr1YjBtUAgEAgEAoGgSIil+FQjYq4FAoFAIBAIBIJiQsxcCwQCgUAgEAiKhIi5Vo0YXAsEAoFAIBAIioRYik81IixEIBAIBAKBQCAoJsTMtUAgEAgEAoGgSIjVQlQjZq7/xxgyZAjdunX7x+k8e/YMiUSCn5/ff563QCAQCASCz5uMYvr3v4iYuf4PaNmyJTVr1mTFihX/6jklzcqVK0UMVj48e/aMcuXK4evrS82aNYs9fYchbXAa3RltS2MSHz/n3pxtvLz+WKmtjUs9yg1ug3HVsqhpqpP4+DkBy/4k5vw9BZuK413Rs7dCTUPK25Bogn45Rvgfl4tV95zZkxg+7BtMTIy4ccMXj/Hf8/BhoEr7bt06MmO6B+Ud7dHQ0CDoyVOWr/iVHTv+VCyjjTWLF31Hh/at0NHRJjAohJEjJ3PH1/+TtarXa4tG0y5I9I1Jj43g4/FtpIc+Un2CVB2Nlj1Rr9EUib4xGYmvSLlwgFTf85mHK9dDo3k31EytQSol/WU0qT5HSb17qUAtzQe0o+2orhhZGhMVGME+zy08ualai1ODyvSaNZhSFUqT8OI1p349zKUdpxVsanVoQJfJfTEvY0Vc2AsOLdvF3ZM3ZccXXvbGrLRlnrQvbDvJ7jkbZX9bO9rSfcY3ODVwRqImITIonHtnbtO0b2uMLI2JDIxgr+fmAvQ603vWYGwqlCb+xWtO/XqIi0r0dp3cD4syVsRm6fU7eUPBRy2+aYdZaQsAooIiOLJqHw/O+8lsOk/oTb0uTTApZUZqSiph/iH8uWwXIX5BSnW5TuhDi/5t0DXSI8TvCdtn/0ZkUITKcgDU6dCA7pP7YVHGmtiwaPYv28UdOZ0V6lemw0hX7Ks5YGxlyuqRS/E9dVNleoMWjaTl1+3Y5bmZ05uOyvZ3mdCb5v3boGukz1O/IHbO3lCgttodGuAq58ODy3bhK6cNoOWAdrQf5Sqruz2emwnKqjupupRuU/pRtWVtLMpY8v5NEgGX/flz6Q4SYl4rzXPclu/QMHcgNTGajI9J+eorDLf8/Nm88w8ePnpC7MtXrFw8m9bNG//jdOUpiesNwMjKhO4zBlClZU00tTV58TSK7dPWEXb/KQBaulp0m/4NNdrVQ8/EgJcRMZzfcrxYyy4oOmLmWlBsGBkZYWxsXNIy/l9i69qQ6p6DeLziIGfbfsfL649osnM6OrZmSu3NG1Yi5qI/Pt/8yNl2s4i78pDG26ZgVLWszOZj/FserzjIhc5zOfPVDEJ3X6TOilFYtqxebLqnThnNhPEjGTdhFg0bdyL6RSwnju1CX19P5TmvX8WzeMkqmjbvSq06bdi6dQ8bf/uZdm1byGyMjY24eP4gKSmpdO4ygGo1WjJtmifxCYmfrFVatRGaHQeTcuEA79fNID30EdoDZiAxUu5jAK0+E5A6VCX54K+8XzWJ5H2rSI+LlB3PeP+OlIsHef/bbN6vmU6q7wU0u7kjLZ+/j+t0bkTvOUM44b2fRS7TeXIzgDFbvsPERrkWs9IWjNk8kyc3A1jkMp0Taw7QZ+5QanVoILMpV9uJYd4TuH7gIj+4TOX6gYuM8J6Ifc3yMpslXWcyvd4I2bbymwUA3D52VWZjXsaKyX94Eh38nJ/7z+OHjlMJvPaQzuN7c8z7Txa6TOPJzQA8tnyPiY25Cr2WeGTpXegyjeNr9tN3rpuCXofaFRjhPZHrBy6wwGUK1w9cYGQuvfFRLzmwdAeLus5gUdcZPPK5z+j10ynlVFpm8yIkil1zNuLZfjI/9ZrNy4hYJm2bhYGpYR5dHd270W5YZ7bP2ciCrjNIiI1nyvY5aOtpq6wrx9oVcPeehM+Bi8x1mYzPgYu4e0/CoaaTzEZLV5vwgGdsl7tBUUWtdvVwqOnE6+iXCvs7uLvSdlhnds7ZyA9Z2iZun41WPtocaldgpPdErh24gKfLFK5l+bCcnA/rdm5M3zlDOer9J54u0wi6GcC4Ld9jmlV3mjpalKniwNHVf7Cg83TWuS/DyqEUYzdMV5pnm2GdoJgnYd6//0DF8g58N2l0saabjURTr0SuN11DPab+uYC01FS8hyxifttJ/LlwG0mJOTckvWYPwblFTTZPXM38NhM5u/Eofea5/St+yE06GcWy/S8iBtf/MkOGDOHChQusXLkSiUSCRCLh2bNnXLhwgfr166OlpUWpUqWYMWMGqamp+Z6TlpbGsGHDKFeuHDo6OlSsWJGVK1d+srb09HSWLl1K+fLl0dLSokyZMvzwww9KbQuTd+6wkJYtW+Lh4cGECRMwMTHBysqK9evX8+7dO4YOHYqBgQGOjo4cP164u+yiaFi0aBFWVlYYGxszf/58UlNTmTp1KqamppQuXZpNmzYpnOfv70+rVq3Q0dHBzMyMkSNH8vbtW4WyTJgwQeGcbt26MWTIENnf9vb2LFq0CDc3NwwMDChTpgzr16+XHS9XrhwAtWrVQiKR0LJly0KVuzA4jXLh2a7zPNt5njdBkdyb8ztJz1/iMLiNUvt7c34naM0RXvuF8O5pNA8W7+Ht02hKtasts4nzCSDy+C3eBEXyLjSG4A0nSHwYhnn9isWme5zHcBYvWcXBg8d58OAxQ90moKurQ/9+3VWec+HiVQ4dOsGjR08ICQlltfdG7vkH0KRJfZnNtKmjiYiIZPiISdy85UdoaARnz10mJCT0k7VqNO5E6p1zpN45R0ZcJB+PbyMj8SXq9doqtZeWr4HUvjIfti8hPeQ+GfGxpD8PJj08Z1Y+/dlD0gJukhEXScbrF6ReO076izDUylTKV0vr4Z3x2XuWK3vOEh38nH2eW3kdFUfzAe2U2jcb0I5XkXHs89xKdPBzruw5i8++c7QZ2UVm08qtE48u3+Pk2oO8CI7k5NqDPPK5Tyu3TjKbt6/ekBibINuqta5NzLNogq49lNm4Tu3Hg3O+HFiyg4gHz4gLj6Fioypc2ZOjd6/nFl5HxdFChd4WA9ryKjKOvZ5bZHqv7DtLu5Fdc3zg1omAy/c4kaX3RJbe1nJ67525zf3zvsQ8jSLmaRSHlu0iOekDDrUqyGxuHr7Moyv+xIXHEBUUwb6FW9E11KN0pbLkpq1bJ46s2c+dk9d5HhjOxsmr0dTRooFrM5V11datEw8v3+PY2gNEB0dybO0BAnz8aSun0/+8Lwe8dnPn5HWV6QAYW5nyzfzhrB+/krTUNIVjrd06cWzNfnxP3iAyMJzNk72ztDVVmV6bLG3H1x4kOjiS41k+bCOnre3wzlzee5bLWXW3J1fdvX+TxPKBC7h19CovQiIJ8Q1i19xN2Fd3lA3AsylduSxth3Vmy7R1+ZazqDRrVI9xIwfTtmWTYk03GzUdoxK53tp968rryJf8PnUdoXeDeRURy2Of+8SFvZDZONR24tqfFwi69pBXEbFc3nWG5wGf3s8VhYyMjGLZ/hcRg+t/mZUrV9KoUSNGjBhBVFQUUVFRaGho4OLiQr169bh79y7r1q1j48aNLFy4UOU5dnZ2pKenU7p0afbu3cvDhw+ZM2cO3333HXv37v0kbTNnzmTp0qXMnj2bhw8fsnPnTqysrJTafmreW7duxdzcnBs3buDh4cG3335L7969ady4MXfu3KF9+/YMHDiQpKSCHw0WVsPZs2eJjIzk4sWL/Pzzz8ybN4/OnTtjYmLC9evXcXd3x93dnfDwcACSkpLo0KEDJiYm3Lx5k3379vH3338zduzYQnoyBy8vL+rWrYuvry+jR4/m22+/5dGjzEeHN25kPmr9+++/iYqKYv/+/UVOXxkSDSnG1csphHQAxFzwx7ReBRVn5U5EgrqeNh/j36k0sWhaBf3ypYi7FvBP5MooV64MpUpZcfrvC7J9Hz9+5OKlazRqVLfQ6bT6qikVKzhy6dI12b7Ondtx+/Y9du/6lciIu9y8cZJhbl9/ulipFLVS5UgLVvRx2pN7SMso97G0Uh3SI0PQaNoVnSlr0Rm3HM32A0BdQ2U2ag5VUTMvRVpoPj6WSilT1YGHl+4q7A64dA+HOspvfBxqORFwSVH7w4t+lK3mgJq6NMumAg/z2NzFobaK8mlIqd+tGVf3npPtk0gkVP2qNi+eRuGx7Tt+vPUb0w79QNlqjnn0Prx0D0eVepVryatXMc0HF/1wrK08TYmaGnW7NEZTR4uQO8rDjqQa6jTr34akxHeEBzxTOGZhZ4mxpQkP5PJM/ZjK4+sPKa+iHACOtSpwP5fO+xfvqtSpColEwojlHpxYfyhPqIcqbYHXH6r0MRTsQ6mGOmWVtLUH+dQdgI6BLunp6SQl5vQnmtqajFg1gZ1zN5IYG19geT8nJOpaJXK9VW9Tl1D/EIavmciPt37ju6NLadKvtcI5T249pnqbOhhZmQBQoVEVLMuV+rSCCooNEXP9L2NkZISmpia6urpYW1sD8P3332NnZ4e3tzcSiYRKlSoRGRnJ9OnTmTNnjtJzAKRSKfPnz5f9Xa5cOXx8fNi7dy99+vQpkq43b96wcuVKvL29GTx4MACOjo40bap8lkNDQ+OT8q5RowazZs0CMgfzS5YswdzcnBEjRgAwZ84c1q1bx71792jYsGG+mgurwdTUlFWrVqGmpkbFihX58ccfSUpK4rvvvlPQceXKFfr168eOHTt4//4927ZtQ08vMxzB29ubLl26sHTpUpU3HMpwcXFh9OjMR5PTp09n+fLlnD9/nkqVKmFhkRn3aWZmplCvuUlOTiY5OVlhX0pGGhoSqVJ7LVMD1NSlfIhNUEwnNgFtC6NC6Xb6thNSXS2eH76msF/dQAcXvzWoaaqTkZaO38zNxFy8X6g0C8LaKjN298WLOIX9L17EUrZMaWWnyDA0NCDs2W20tDRJS0tjrMd3/H0mJ07ZoVwZRo0ayIqVv7Fk6Srq1a3FiuWeJH/8yPbtfxRZq0TXEIlUSsZbRR9nvEtAom+s/BwTS9TKVCQjNYXkXV5IdA3Q7DwMTR09Ph78NcdQSwfdKetAXR3S0/l4ZBPpwarjwiW6hkjVpbzJVd9vYhMwMleuxdDCWKm9VEMdfRMDEmPjs2zic9lk7ldGjXb10THU4+of52X7DMwN0dbXof23rhz22sOBJTuo3akR5Wo4YWRpkjftfPUqakmMjc+jNzFXmRJjE/LotalYhun7f0BDS4PkpA/8Muonop4oDk6rtarN8NUT0dTRJCEmnmUDPHn7+k0uTSYyHbl1Zcd0K8PIwljpOUYq/KqKjt92Iy01nb83H8tzLEdbXn+YlVYeepOjTbUP9U0MkKpL8+h/Exuvsq2pa2nQY/o33Dh0mQ9v38v295kzhODbj7l7+pZKPZ8lalIkEkmJXG/mZSxpPqAtZzYc5cTaA9jXKE+feUNJ/ZjC9f0XAdg7bxMDlriz5PqvpKWkkp6ewfYZvzB0ucc/LnpB/K+GdBQHYnBdAgQEBNCoUSMkEolsX5MmTXj79i0RERGUKVNG5bm//PILGzZsIDQ0lPfv3/Px48dPejkuICCA5ORkWrduXbDxP8i7evWc2FGpVIqZmRnVqlWT7cseuMbExBSbhipVqqCmlvNQxsrKiqpVq+bRkZ1nQEAANWrUkA2sIbM+0tPTefz4cZEG1/LllUgkWFtbF7ps2SxevFjhJgKgj15V+upXU3FGFrn7OYmSfUoo3a0Rlaf04Orgn0mOU4xJTn37gTOtZ6Kup41FsypUmzeAd6ExxPkUffa6f//urFuzVPZ3V9dBmbJzPRaUSCQFPip88+Ytdeq1KvGldgAAg6BJREFUQ19fj1ZfNWXZT3N5+jSMCxczY3/V1NS4ffses2YvAcDP7wHOzhVwHznokwbXOSjRpUKrRJLZBpP/WA3JmYOMjye2odV3Ih+PbILUlEzDjx94v246Ek1t1ByqotlhIOmvY0h/9lBpujlKcuUrUbIvX3uJ7Ah5/idvozzNJn2/4sF5P4WX1rLLfO/0Lc5uzHzR7k1cIh3H9KBmu3pc+P1kodJWple+v5S3yiM3174XIZEsdJmKrqEutTo2ZIjXWLz6zlUYYD+++oCFLlPRNzWgab82fLtmEsd/PUSfmQNlNivcFmfmmLu+C9Fe8+os5MWZRdmqDrQd6sL8TtMAaOjaDDMbc3rNGED3yf1k2vK0RUlhwpsL9qGydqGsrUnVpYxcPQGJmoQdszfI9tdoU5dKjaqyIEv/l0hJXG8SiRqh/sEc+mkXABEPnmHjZEfzAe1kg+uvhrhQrqYTa4ct5dXzWMrXr0z/BcOLULJP5391pY/iQAyuS4CMjIw8PxTZnbPyH5BM9u7dy8SJE/Hy8qJRo0YYGBjw008/cf16/nF6ytDR0SmS/afmraGh+AhcIpEo7Msub3p6wStmFlZDQXlm78vOU1l95NanpqaW5wc0JSUlj31++RSWmTNnMmnSJIV9x51GqLRPfvWG9NQ0tC0VZ6m1zI34EJeg4qxMbF0bUvvnkdwYuZLYS0pmpDMyePcsM74v4UEohk62VPRw/aTB9V9/neLGDd8cfVqaAFhbWxAdnXMDYmlpzouYuDznK8rKIDj4GQB37z6gUqXyTJ82Vja4joqK4WGA4qP/R4+e0KO7S5F1A2QkJZKRlpZnllqiZ0TGO+U+Tn/zGkniK9nAGiA99jkSNTUkhmZkvIrOLgwZr16QAaRHh6JmYYtGc1eSVQyuM5ISSUtNyzNDa2BuRKKK+k5UMgNtYG5IWkoqb1+/zcfGKM/MJoCprTmVmlTnV/dlCvvfvk4kLSWVKLmwhbevE0lPT8eklOLLXwXrNcljn6n3TZH0pqWkEhua6etQ/xDsqzvSys2FHd/lvA/x8X0ysaHRxIZG89Q3CM9zqzA0N2Key1SZjbpm5s+lkaUJCXIzjob5lAMgQUVZEpT4VRUV6lfGwMyIn3x+ke2TqKkhlWbw5mUSb19l3hQbWhor0RaPKhIK8OHb129IS03LM8uurO6k6lJGrZmEuZ0lXv3nK8xaV2pcFYuyVqy8t0XxHAMrMlI/kJYQVYAHSpD0NDIyMkrkekuIeU10rhCg6OAIanXMfDFSQ0sD16n9+XXUT9w/l9m3Pn8Uhp2zfZ7wkX+D9P/ReOniQMRc/wdoamY+us7G2dkZHx8fhcGaj48PBgYG2NraKj0H4NKlSzRu3JjRo0dTq1YtypcvT3Bw8CdpcnJyQkdHhzNnzhTKvjjz/lT+LQ3Ozs74+fnx7l1OfOCVK1dQU1OjQoXM+DcLCwuionJ+ANLS0rh/v2jhEZqamrJz80NLSwtDQ0OFTVVICEBGShrx955i2UJxZtuyRVVe3VS9pF3pbo2ou8Kdm6PXEP23X+EKIQE1rU+7J3/79h3Bwc9k28OHgURFvaBN6+YyGw0NDZo3a8jVq0V7dCyRSGSDdQCfqzepWMFRwaaCkwNhYc8/STtpaaRHPUXqqOhjqWM10sKU+zg9LBCJgQloasn2qZmXIiM9nYzEl0rPyUSCRKo6Lpu0NMLuh1C5qeKKIpWbVifktvKlF0N8g/LYOzerQah/COlZL8aF+AZSuWm1XDbVlcYnN+r9FW9eJnD/7B1FaSlpPLsXjJWDjcK+94lJqEkV23DlptUJVqk3sJB689oE31GeZjYSiQR1zXz8CyABCRJiQqNlW2RQBPExr3GWy1OqoU7FBs48UVEOgGDfQKrk0lm1EDrl8dl/gbkdJjPPZYpsex39khPrD7Psm/kqtVVo4KzSx5DpQ+d8fJiWkkqokrbmnKvusgfWlvbW/PzNAt7Fv1WwP77uIPM7TMHTZapsA0h/95K0N7GF9kNJkZGaXCLXW8jtxwrXEoBlORtePs/0mVRDHXVN9TwTP0Wd0BEUP2Jw/R9gb2/P9evXefbsGXFxcYwePZrw8HA8PDx49OgRhw4dYu7cuUyaNEkWzpD7nPT0dMqXL8+tW7c4efIkgYGBzJ49m5s3Va+Fmh/a2tpMnz6dadOmsW3bNoKDg7l27RobNypfCqo48/5U/i0N33zzDdra2gwePJj79+9z7tw5PDw8GDhwoCwkpFWrVhw9epSjR4/y6NEjRo8eTXx8fJHysbS0REdHhxMnTvDixQsSEgo/c1UQQb8ew/7rryjbvwUGTjZUmz8AXVtzQrZl3jxV+a4vdVZ/K7Mv3a0RdVd/i//87by6HYSWhRFaFkaoG+Q80ajg0RXL5lXRLWOJfnkbyo9yoUzvZsW6zvWq1RuYMd0DV9cOVKlSkU0bl5OU9J5duw/IbDZvWskPC2fI/p4+bSxtWjejXLkyVKzoyITxIxk4oBc7dua8ILpy5W80aFCbGdM9cHS0p1+/bgwf/g1rf9nyyVpTfI6iXrsV6rVaIjG3QbPDICRG5qTe/BsAjTb90OyRsxRYqv9lMt6/Ravbt0gsbFErWwnNdgNIvXNOFhKi0cwVNcdqSEwskZjboN7YBfWazQpc5/rMhiM06duaRr2/wtrRll6zB2NiYy5bR9d1Wn8Ge42R2V/afgpTW3N6zhqEtaMtjXp/ReM+rfh7/V8ym3ObjlG5WQ3aubti5WhDO3dXKjWpxlm5dZQhc3DaqFdLrv15gfS0vD/ip9cfpk7nxjTp1xqLsla0GNQeHQNdzEtb0DhLb+/ZgzG1MefijlMAdJv2NUO8cl4gvrD9NGa25vSeNRhrR1sa9/6KJn1acWr94RwfbDqKc7MatM/S297dlcpNqnFGTm+3qf0pX68SZqUtsKlYBtcp/anQsAo3Dmb6V1NHi25T+1OulhOmtubYVSnHwCXumJYy4+ZRn7xl23SUzmN6ULt9fWwr2DFs2Rg+vk/m+qGc+hru5UHPaV/LnXOMKs1q0NG9G9aONnR070blJtUU1qfW0tXGztkeO2d7AMztrLBztpettvEu/i3PA8MVtrTUNBJi44kOiZT5w2VMD2q1r49NBTuGyrTlXK9uXmPpLqct24cd3F2xdrShQ5YP/5bTdnrDEZr1bU2TrLrrk1V3F7LqTk2qhvu6yZSt5sCGCatQk6phaGGMoYUxUo3MG/HE2HgiA8MVNoCM9FRIT83j56KSlPSeR4HBPArMnGx5HvmCR4HBREUXLSRPFenvE0rkejuz8SjlajnRYXR3LMpaUa9rE5r2b82FbZnhVR/evifw2gN6zByAU0NnzEpb0LBXCxr0yFmW9N8ko5i2/0VEWMh/wJQpUxg8eDDOzs68f/+ep0+fcuzYMaZOnUqNGjUwNTVl2LBhshf/VJ3j7u6On58fffv2RSKR0L9/f0aPHl3opexyM3v2bNTV1ZkzZw6RkZGUKlUKd3d3pbbFnfen8G9p0NXV5eTJk4wfP5569eqhq6tLz549+fnnn2U2bm5u3L17l0GDBqGurs7EiRP56quvipSPuro6q1atwtPTkzlz5tCsWTPOnz//j7Rn8/zQNbRM9Kk0qUfmR2QeRXDlmx95H5EZXqFtZYyu3JrX5Qa1Rk1DnZpL3Ki5JGdN1NA9F7g9PvNlO3VdLWoucUOnlClpHz7y5kkkN8eu5fkhxZce/wk/LVuLjo423qsWyT4i07HT17x9m/MUoYydjcJMjJ6eLqtXLaZ0aWvev//A48fBDBoyjn37cgZet27fpVfv4SxcOINZ30/g6bNwJk2ey65dB/hU0u5f5aOOPhote6JpYEx6TDgfti8hIyHTxxIDE9SM5F4e+5jMh60/oNVpCDqjFpHx/m1mGmf25NhoaqHV2Q2JoRmkfCQ9LpLkP9eQdv8q+XH7yFX0jA3oNL4nhhYmRAWGs2boYl49z9RiZGmCqW2OlpcRsawZupheswfTYmB7EmJes3f+ZnxP5IRUhdwJZKPHCrpO6UeXSX2JDYtmw9gVPPN7opB3pabVMCttgY/cKiHy3D15k53f/0aH0d3oM28oL0Ii+cX9J4ytTOk0vhdGFiZEBobjPXRRPnpjWD10MX3k9O6ZvymP3g0eK3Cd0o+uk/oRGxbNb2OXK+g1MDdm6HIPjCxMeP8mieePQlk1+AcCLmeu0pCeno61oy0Ne7ZE38SAd/FveHYvmMW9Zyv9+MrxXw6iqa3JgAUj0DPSI8QvCK+BC/jw7oPMxtTWnPSMnPYafOcxv3gsp8eU/nSf1JeYsBf8Mna5wkdq7Ks7Mn13znsW/WcPAeDyH+fYNGWNUj/n5sQvh9DQ1uTrBcOztD1h+cCFJOfSJj/LGXwnkPUeK+g2pR+uWT5cP3Y5T+V8eOuID/rG+nSWq7tVcnVnUsqMmm3rATD3uGKY0E/95hJ4Lf93B4qD+4+CcPPIWVf7x9WZIT+uHdvww6zJ/zj9jI/v+OPHv/7z6y30XjC/jFpGt2lf4zK+J3HhMezz3MpNuRumjR4rcJ32NW4rxqFrrM+r57Ec/mkXvWYP/sflLgjxQqNqJBn/q4sMCgT/Q+y3/gfLyJUAfV5dKNjoMyJhhup1ij9Hpmz7sh77fmk/wilfmF4AKarf1/kcWXtracFGnxHj6s4o2OgzYt2zT1uityg0sW1VLOlceX62WNL5nBAz1wKBQCAQCASCIvGl3TT/l4iY6/9RwsLC0NfXV7mFhYWVtMQ8uLu7q9SrKlxFIBAIBALBf4/4QqNqxMz1/yg2Njb4+fnle/xzw9PTkylTpig9Zmho+B+rEQgEAoFAICg6YnD9P4q6ujrly5cvaRlFwtLSEktLy5KWIRAIBAKBoABEWIhqxOBaIBAIBAKBQFAkxBcaVSMG1wKBQCAQCASCIvG/Gi9dHIgXGgUCgUAgEAgEgmJCzFwLBAKBQCAQCIqEiLlWjRhcCwQCgUAgEAiKhAgLUY0ICxEIBAKBQCAQ/E/x+vVrBg4ciJGREUZGRgwcOJD4+HiV9ikpKUyfPp1q1aqhp6eHjY0NgwYNIjIyssh5i8G1QCAQCAQCgaBIpJNRLNu/xddff42fnx8nTpzgxIkT+Pn5MXDgQJX2SUlJ3Llzh9mzZ3Pnzh32799PYGAgXbt2LXLeIixEIBAIBAKBQFAkPuel+AICAjhx4gTXrl2jQYMGAPz22280atSIx48fU7FixTznGBkZcfr0aYV9q1evpn79+oSFhVGmTJlC5y9mrgUCgUAgEAgE/zNcvXoVIyMj2cAaoGHDhhgZGeHj41PodBISEpBIJBgbGxcpfzFzLRAIBAKBQCAoEunF9ELj/7V353E15f8fwF+nVKJdi0paFImKJkuy78pk+Vpn7NsvDZE1TGXfRtaMBhFjF8YQYpKMyNpiibTQokhkS6p7z++Ppjtd95aY6pzbfT/n0ePhnnvu7dWZe+t9P+dz3p9Pnz7h06dPYttUVFSgoqLyzc+ZnZ0tdcVnfX19ZGdnV+o5CgoK4O3tjR9++AEaGhpf9f1p5JoQQgghhHwVtor+W7Vqleiiw9KvVatWSf2eixcvBsMwFX7dunULAMAwjGRmlpW6/XNFRUUYMWIEhEIhfv31168+NgxLvVQI4b1JZkO4jvBVFPHlX158Imt5P0LAdYSvogpFriN8lUIIuY7w1ZRorKxabb61musIX0VJ16Lav0cLg3Zf3qkS7qRdrvTI9cuXL/Hy5csKn8/MzAwHDhzArFmzJLqDaGlpYcOGDRg/fny5jy8qKsKwYcOQkpKCixcvokGDBpX/Yf5B00IIIYQQQshXqappIV8zBURXVxe6urpf3M/JyQlv3rzBjRs30LZtWwDA9evX8ebNG3To0KHcx5UW1o8fP0ZERMQ3FdYATQshhBBCCCFfqaqmhVSH5s2bo2/fvpg8eTKio6MRHR2NyZMno3///mKdQqytrXHixAkAQHFxMYYMGYJbt25h//79EAgEyM7ORnZ2NgoLC7/q+9PINSGEEEII+SpVNXJdXfbv3w9PT0/07t0bAODm5oaAgACxfR49eoQ3b94AADIyMvDnn38CAFq1aiW2X0REBLp27Vrp703FNSGEEEIIqVV0dHSwb9++Cvcpe9mhmZlZlS3pTsU1IYQQQgj5KnxeRIZrVFwTQgghhJCvwvdpIVyiCxoJIYQQQgipIjRyTQghhBBCvgpNCykfFdeEEEIIIeSrsKzsLbZUU2haCCGEEEIIIVWERq4JIYQQQshXEdK0kHJRcU0IIYQQQr5KVfWEro1oWgghhBBCCCFVhIprQqrR4sWLJZZRJYQQQmSdEGyVfNVGNC2EkCrCMAxOnDiBgQMHVtv3cJs5DJ1H9kQ9zfpIjU3Cfp8dePY4o8LHOPRth4GzR0CvcUPkpGXjxLqDiAm7IbZP11F90Of/3KClr41niek4tDQYj28miO1j2MQY//MehabtbKCgoIDMx+n47af1ePXsJbqO6oMBs4ajvpYawAIKigqYaTcWH9/mS81k1c4GQ38eC6OmjZD3/DXO/3YSl/dfENundd92cJs9AnqNDZCT9hwn1x1E7Ge5u4zqjd7/NwCa+lp4lpiBI0t3I+nmw3+fo09bdPqxF0xbWkBNRwPLXOYi48ET0f0NGulh5ZVfpWa8cigc1s620NTXQlZiBo4uDUZymeeW/Jma438/j4Vh00Z48/w1Lvz2J/4u8zMZWjVC/1nD0djWHA0a6ePo0mBE7Doj9hyWbZuj1xQ3mNiaQ8tAB79N+QVx52+W+z2lGTBzGLqM7IX6mvWREvsYv/vsxLPH6RU+5ru+7TFo9gjoN26IF2nZOL7uAO6UOdauHoPwXZ/2aNjEGEUFhUi68whHV/+O7JRn/z5Hn3bo+mNvmLa0gLqOBnxdZiO9zLH+XOdRvdHz/9x4fXz5+n4DgNErp6C5sx20DLTx6UMB3rx4jfpa6lDTURcdz6QvHM8hZY7n+c+OJ1DyHvx+9nDoNjbAy3/eg3Fh/x4vlfp14TZ7OOx7t4W6ribS76fi6JJgPI1PFu3jOnMoHL/vAG3DBhAUFSPtbgpOrjuExi0t0Ouz///VnRcANA20Mch7FFp0bQXlusp4npqFffO2Ie1easnPVE8FA+f/CPvebVBfWx25GS9wKfhsubm+xa3Yu9h9IAQPHiYhJ/cVNq3yQY/OHar0e9QEmhZSPhq5JkRG9HUfiF4T++OAbxCWu3njTU4eZu3zhUr9uuU+xsKhKf4vYBaunbiMJS6zce3EZfxfwCyYt7IS7dOmfweM8B2HMwHHsdRlLhJvJmBG8ELoGOmK9tFrbID5IcuRnZyJX0YuxuJ+s3F6cwiKPhWKHp8QFY+/dp1GcswjAIBWQx2pmRo00sf03QuQdDMBy13m4ezW4xjuNwGt+7YTyz05wAvXT0RimcscXD8RiSkBXjBrZSnax7F/BwzzHY8zAcew3GUekm4mYHrwImiXya1cry6Sbz3C8TX7pWZ59SwXc9tMhneZr1PrD6OwoBDt/9cF5wKOY5XLfCTdTMBPwQuhbdSgnJ9JDx7//EyrXObj3NYTGOo3Hq3K/EzKqip4mfYcf6w5gDcvXkt9HuV6KshIeIIjvruk3v8lLu4D0Wfi99jvuxNL3ebjTU4e5uzzRd0KXiNNHJpiasAsXDsRCV+X2bh2IhJTA2bDosxrpFm7Fgj//RyWD1qAdaOXQEFRAbP3+kJZVaVM9rp4fOshQtbs+2LO7/o7YYjvOF4fX76+30o9vZuC3XO3wqfnTITtOAWjZo2hXFcZq/p7V+p4/vTP8Vz5z/Ec5jde7D1o7mCFiQEzcf3EZaxwmYvrJy5j8mfvwVFr3GHd0Q7BswKwvM9sJPwdjxn7fKBpoC3a50XKMxz23YXlfeZg3RBf5GbkwOuAH4b6lfz/X1nJ//9VkbeeRn3MPbYMguJiBIxbiSW9ZuHY8r3ILzMIMMRnHGy6tMJury1Y0tMLF4NCMWzxBDDK9cr9//61Pn4sQDNLCyyc5VFlz8kFIctWyVdtRMU1qXW6du2K6dOnY+bMmdDW1oaBgQG2b9+ODx8+YPz48VBXV0eTJk1w9uy/oxGRkZFo27YtVFRUYGhoCG9vbxQXF4s9p6enJ+bNmwcdHR00bNgQixcvFt1vZmYGABg0aBAYhhHdLvX777/DzMwMmpqaGDFiBN69e/fVP1fPCa4I3Xocd8Ku41liOnbN3gJlVRW0G9Cp3Mf0muCKB1ficfbXE8hOfoazv57Aw6t30XOC67/7TPoeV45cxN+Hw5GVnInDS4PxOisXXUf1Fu0zaO4PuBtxByGr9yH9fipepr/A3Yg7eJf7VvT47dM34sjyvfhj3SEAQMdhPaRm6jKqF149e4kjS4ORnZyJqMMXEXX0InpPcRPt02OCKxKuxOPcr3/gefIznPv1Dzy8eg89yuTuOak/oo5cRNThi8hOzsSRpcF4nfUSXcrkvn7iMkI3h+Bh1F2pWVihEG9z8vA2543oq1Wftvj04SOuHr6Iq/88d8jSPcjLeonOZZ67rE6jeuP1s5cIWboH2cmZuHr4Iq4djUDPKd+L9nkan4wTq/bh9qmrKC4skvo8Dy7F4pT/YYkR+srqNaE/Tm89htth15GZmI6ds7dARVUF7St4jfSe0B/3r8Qh9NcTyE7OROivJ5Bw9S56Tegv2mf92OWIConAs8fpSE94il1zt0K3kR7MbJuI9rl2IhJ/bj6K+1HxX8zZfVJ/XD3C7+PL1/dbqcsH/8LjGwnIzciBQ992iDkTjfra6ij6VISjS/fg9ReO56tnL3H0n+MZdfgirn52PLtPcMXDK/EI++c9GPbPe7D7Pz+LkooSWvdthxOr9iHpRgJynj5H6MajeJnxQuw9ePPPKDyMuouX6S+Q9TgDIcv3QrmeCh5ExoreuzWRFwB6Tx2A189y8fvcbXgal4xXGTl4dPUeXqY9F+1j4WCF6GOReBz9AK8ycnDlYDgyE56CqaOCqtLJqQ08p4xFr67OVfachF+ouCa10p49e6Crq4sbN25g+vTpmDp1KoYOHYoOHTrgzp076NOnD0aPHo38/HxkZmbCxcUFbdq0QVxcHLZt24agoCAsX75c4jnr16+P69evY+3atVi6dCkuXCg5LXnzZsmpx927dyMrK0t0GwCSk5Pxxx9/4PTp0zh9+jQiIyOxevXqr/p5dE30oaWvjft/x4m2FRcW49H1B7D8rlm5j7No3RQPyjwGAO5fjoOlQ8ljFJXqwLSlhdjzAsD9v+PQ5J/nZRgGdt0c8Dw1CzP3/oz1t4Kw8I9VaNW7TbmPByA2YiSZSbwAe3A5Dqa2FlCoo1hB7lg0KZO7cUsLiX0e/B0vyv0tTFqaw6SFOeprqSHhs+dO+DseFuU8t3lrKyRI/EyxYj9TddMzMYCWvjbuSbxG7lf4GmnSuqnE/797l2NFrxFpVNVLRvE+5H39h0RFJUU0bmnB6+PL1/ebNKXPqVRXGS/TnuN1Vsm0kYqOp0Uljmd571MLh6YAAIU6ilCso4iiT+IfZIoKCtGkjXU5WRXR6cfeYFkWd85Ei91X3XkBwK6nI57eTcGkrV5Ye2sHFoaugfMI8UGApFuPYNfzO9Hoe1OnFtA3NwRbKH2Kmzxjq+i/2oiKa1Ir2dvb4+eff4aVlRUWLFgAVVVV6OrqYvLkybCysoKvry9yc3MRHx+PX3/9FSYmJggICIC1tTUGDhyIJUuWwN/fH0LhvytQ2dnZwc/PD1ZWVhgzZgwcHR0RHh4OANDT0wMAaGlpoWHDhqLbACAUChEcHIyWLVuiU6dOGD16tOhx0nz69Alv374V+1LX0wAAvM3JE9v3bU4eNPS0yn0uTT0tvPnsMW/KPEZNWx2KdRTxNufNZ8/7Bpq6Jfuo62qirpoq+k0diPuRsdgwZhliwq7DI3Au7Ht8J/XxAKChqyk1k4aeFt5J+TkUlepATVtdtI+0TJK5xZ/nXU4eNP7J/S2ch3fH85RnUFBUxDtp37+c55aW913OG7Gfqbpp/nNsPj8mb3LeQFNPW/IBZR4n7XWlWcHrasTP45B44wEyEyueyy2NmrYGFOvw+/iWHi++vd+atrMRe1zXUX2wKW43FOsowsi6MTaNWg5BkQBAyfHRrOB4fn78Pz+e0t6n78r8LJ8+FCD59iO4eP4PmvraYBQYtB3YCWatLCVeby27O2DD/b3Y/Gg/ekx0AcMwyHmSLfH9qzMvAOg21kfnUb2Q8yQbm8euwOX9FzBs8Xi0G9xZtM+RxbuQnZSJ1dd/Q8DjA5gWvBAHfXaCLf4kNZs8Y1m2Sr5qI7qgkdRKdnZ2on8rKiqiQYMGsLW1FW0zMDAAALx48QIJCQlwcnICwzCi+52dnfH+/XtkZGSgcePGEs8JAIaGhnjx4sUXs5iZmUFd/d8C4EuPW7VqFR4/fozffvtNtC310z8Xjn32i4hhGIltkqQ85rNtn48eMMy/e5Qel9gLN3Eh6DQAIP3BEzRxaIb2g7pIfXxJ1PJzSX4/Rupen2f6fJsEKT9bZSmpKMFxQEdE7DoD15lDyzkmFT33Z/eJfqbq+ePRfkAnjF35f6LbGyesLPluEq+RL194JHFvBcdx1NJJMGluipVDFn1t5M++J3+Ob5sBHTFy5RTR7c3/HEu+vd+6/NgbidcfiB53/eTfSE94ggXHViDvWS4mb/XCL0N8UPypCPjC8ZS4T8rx/NLrItgrAKN/mYrVN36DoFiA9HupuHkyCo1bmos9LPHafax0mQs1HQ10G9cPbQZ0hKrGZ3OYayAvwyjg6d1knPzlIAAg4/4TGFmZoPOo3rh+/DIAoNs4F5i3ssKvE9fgVWYOLNs2x8hlk8AI8sAWfSw3HyFlUXFNaiUlJSWx2wzDiG0r/QMmFArBsqxEcVdajJTdLu05y45sf02Wih63YMECfPr0SawgMvikBQDQ0NcWGxlT19XE25eSo8al3uTkSYwiaehqikbO3r9+B0GxQGKUsuR580T7FBcVS3RJyErOhFUba6mPByA2P7SsktE/8UzqupoQFBXj/et3ZfaRkumz3FL3qeB4VKS1S3so11XBlQMX0HfaYKnP/a6c55aeV+Ofn+n9N+X5kti/biIl9rHodh3lkteZ5mevEY0y/y+leSNllFpDVxNvpJyN+HHxRLTu2Qarhvngdfarb8r9/vXbcv/fcXV84/+6hSdljiWrXDLVgHfvN0fx6RYf3+XjSXwyBMUCXAw+g7HrfkKrPm1x68+oCrNW5nh+6T0IAC/TnmPD8MVQVlVBXTVVvM3Jw8SAmXiZLj54UPjxE3KePkfO0+dIu5cCRzdntBnQEfcvxX52DKo375sXr5H92XHNTs5A634lF0YqqShhwNyR+O3/fsG9iBgAQObDNJjYmMFpsBMEVFyLqa1t9KoCTQshcs/GxgZXr14VK2avXr0KdXV1GBsbV/p5lJSUIBAI/nMeFRUVaGhoQF1dXfT1POkZ8l68RouOZUbkleqgWTsbJN1+VO5zpcQkwqaj+Ii7TSd7JN0peYygqBhP76VI7tPRDsm3/93nSXwyGloYie1jYG6I3IwcqY8HgCexSeVmai4l09O7KRAWCyrcJ7lM7rR7KRL7NC+T+2t1GN4d8X/dwpsXeVKf27qjHVLKee7UmMew/jzLZz9TVSv4UIAXT7NFX88ep5fzGmlR4WskOSYRLTrai21rUeY1UmrUkkn4rm87rP1hMV5mfPmMTXkERQLeHd9PHwpExV/O0+d49jiDn++3zByJ71n6nNbOdmAYBnWUS8bMmldwPFNiHlfyPWj72T52SLmTKPF8hR8/4W1OHupp1IdNZ3vEXyi/vaGgSIDiwiIYfPbz1UTelNuPJL6vvrmR6LgqKtVBHeU6Emd6KjOIIo9oWkj5qLgmcs/DwwPp6emYPn06Hj58iJMnT8LPzw+zZs2CgkLl3yJmZmYIDw9HdnY2Xr+W3grsv/hrVyhcfhqM1n3awqipCSas+wmFHz/h+sm/RftM8J+OwfN+KPOYM7DpZI++7gPRsIkR+roPRHNnW/y1K1S0z4Wdp9BpeA84D+0OwybGGO4zDjpGuri0/7xon7DtJ9Gmfwd0GtET+qYN0W1MX9j3cETE72Gix/ec4IrWfdrC9afBAIDk2w/RyMYMQ33GYZz/NNFzRe67gAbGuhj681g0bGKMDkO7wXlYd5zf/qdon/BdobDpZI8+7gNg0MQIfdwHoLmzLcLL5P5r52l0HN4DHYZ2Q8MmxhjqMxY6Rrq4XCZ3PU01NLIxg6FlIwBAQwsjNLIxkxjh0jM1gGXb5rh6uGQu/MWdp9FheA84/fPc//MZC20jXVFf3QHzRmKs/0+ix/+97zx0jHXxv5/HoGETYzgN7YYOw7rjr+2nRPsoKimikY0pGtmYQlGpDrQMdNDIxhR6pgaifVTqqYj2AYAGJvpoZGNabouyz13YdRr9f/ofHPq0hXFTE0xaNw2fPn5CdJnXyCT/6Rgy78cyjwlFi072cHEfiIZNjOHiPhA2zna4sOu0aJ/RyybDaVBn/DZjIz5++AgNPS1o6GlBSUVZtE99TTWY2JjB2NIEAGBoYQQTKcdaVo4vX99vQMkFl/08BsG0pQV0jHQRF34LHUf2gFAoRE5qNoZUwfGM2HUGzTvZo/c/78He7gNg7WyLi2V+luad7WHTxR4NGunBuqMtZh7yw/OUZ7h69BKAkvaIA+aOhHlrK+gY68KkhTlGrf4/MAoKJaPB//z/r6m84UGhMG9thb4eg6BnaoA2bs7oOLIHIveWHNeC9x+RGH0fgxeMglV7GzRopIf2Q7qg3eAuYAs/SLxGvlV+/kc8TEzGw8SSfuCZz57jYWIysrK//UMr4ReGra0fG4jc6tq1K1q1aoWNGzeKtpmZmWHmzJmYOXOmaFvZRV8iIyMxd+5cxMXFQUdHB2PHjsXy5ctRp06dcp9z4MCB0NLSQnBwMADg1KlTmDVrFp48eQJjY2M8efIEixcvxh9//IHY2FjR4zZu3IiNGzfiyZMnlf6ZJpkNAfDPohY//LtAyH6fnXhW5qKyuYeW4GXGC+yes1W07bt+7TFwzkjomegjJ+05TvxyEHfCrosfs1F90Nd9ADT1tPEsMQ2HlgXj8Q3xRS2ch3aHi8cgaBvqIDvlGf7ccASx/4xQdR3VB4Pn/YB6GvUlsifdTIBAIMT6EYtF26za2WCYz1gYWpngzYvXCAv8Q2IRGYd+7TFgzgjomhggJy0bJ3+RXIyjy6je6C3KnY6jn+V2GtIV49b9hM+d2ngEpzceFd0eNPcHtBvUCT87/yQaSek8qjd6ubtBQ08bWYnpCFm2B0n/PPfodR5o0EgPG0csKfMzNcf/yvxMFwJPii1yodNID8uv/Pv/pVRi9H3R81i1t4HXocUS+1wLuYTf5/y72M1HlD9aO2DmMHT9oTfqa9ZHcuxj7PPZIXbh4fxDS/AyIwdBcwJE2xz7tcfgOT9Az0QfL9Ke4/gvB3C7zGtk95NjUr/XzjkBiAqJAAA4D+mGSeumSezzx8bDOL9R8vF8Pr6FKBmp5Ov7TVNfG+PWTIVpSwvU06yPty/f4G1OHrQMtFFfWwNZiek4WuZ4jvnneG747HgOKXM8z392PAGgdb92cCvzHvzzl0NibQwdXJ0wcN5IaDVsgPw37xFz9jpOrjuIgncl0yfqqChhwiZPmLeyQn1tdXzIe4en8ck4u+U4TO2aoHeZ//81kRcoubhy4LwfoG/eEC/TXyB8ZyiiDv17gbmGniYGzPsBNp3sUU9LDa8yc3DlwF8YMLX8Foxf68adeEyYPl9i+4B+PbHi59lV8j2UdC2q5HkqoqNu9eWdKuHVu8df3knGUHFNiAwoLa5lhSKkXaDIX7KWt6Limo9UUTPtCKtKaXEtS5ToRHS12nzr69qncq0mimttNentVr/W6/fSpxDKMno3EkIIIYQQUkWoWwghhBBCCPkq1C2kfFRcE0IIIYSQr0KzistHxTUhhBBCCPkqQiquy0VzrgkhhBBCCKkiNHJNCCGEEEK+SkXL1cs7Kq4JIYQQQshXoWkh5aNpIYQQQgghhFQRGrkmhBBCCCFfhbqFlI+Ka0IIIYQQ8lVoznX5aFoIIYQQQgghVYRGrgkhhBBCyFehaSHlo+KaEEIIIYR8FSquy0fTQgghhBBCCKkiNHJNCCGEEEK+Co1bV4AlhMilgoIC1s/Pjy0oKOA6SqVQ3upFeauXrOVlWdnLTHkJXzAsS5NmCJFHb9++haamJt68eQMNDQ2u43wR5a1elLd6yVpeQPYyU17CFzTnmhBCCCGEkCpCxTUhhBBCCCFVhIprQgghhBBCqggV14TIKRUVFfj5+UFFRYXrKJVCeasX5a1espYXkL3MlJfwBV3QSAghhBBCSBWhkWtCCCGEEEKqCBXXhBBCCCGEVBEqrgkhhBBCCKkiVFwTQgghhBBSRai4JoQQQgghpIpQcU2IHCosLMSjR49QXFzMdRRCCPkm3bt3R15ensT2t2/fonv37jUfiJB/UCs+QuRIfn4+pk+fjj179gAAEhMTYWFhAU9PTxgZGcHb25vjhOUrKChA3bp1uY7xVTIyMsAwDIyNjbmOUqHMzExERUXhxYsXEAqFYvd5enpylKpihYWFUvM2btyYo0TSnTt3DmpqaujYsSMAYOvWrdixYwdsbGywdetWaGtrc5ywYgKBAHfv3oWpqSnvsiooKCA7Oxv6+vpi21+8eAFjY2MUFRVxlIzIOxq5JkSOLFiwAHFxcbh06ZJYodqzZ08cPnyYw2TSCYVCLFu2DMbGxlBTU0NKSgoAwMfHB0FBQRynk04oFGLp0qXQ1NSEqakpGjduDC0tLSxbtkyiEOSD3bt3w8LCAhMnTsS6deuwYcMG0dfGjRu5jifh8ePH6NSpE1RVVWFqagpzc3OYm5vDzMwM5ubmXMeTMHfuXLx9+xYAcPfuXcyePRsuLi5ISUnBrFmzOE4naebMmaL3lkAgQJcuXeDg4AATExNcunSJ23D/iI+PR3x8PADgwYMHotvx8fGIiYlBUFAQbz/QfvjwAT4+PujQoQMsLS1hYWEh9kVqhzpcByCE1Jw//vgDhw8fRvv27cEwjGi7jY0NkpOTOUwm3fLly7Fnzx6sXbsWkydPFm23tbXFhg0bMHHiRA7TSbdo0SIEBQVh9erVcHZ2BsuyiIqKwuLFi1FQUIAVK1ZwHVGMr68vfH19sWDBAigo8H+8Zdy4cahTpw5Onz4NQ0NDsdcxH6WmpsLGxgYAcOzYMfTv3x8rV67EnTt34OLiwnE6SSEhIRg1ahQA4NSpU0hNTcXDhw+xd+9eLFq0CFFRURwnBFq1agWGYcAwjNTpH6qqqtiyZQsHyb5s0qRJiIyMxOjRo2Xi9Uu+DRXXhMiRnJwciVOoQMloCh9/ye/duxfbt29Hjx494O7uLtpuZ2eHhw8fcpisfHv27MHOnTvh5uYm2mZvbw9jY2N4eHjwrrjOz8/HiBEjZKKwBoDY2Fjcvn0b1tbWXEepFGVlZeTn5wMA/vrrL4wZMwYAoKOjIxrR5pOXL1+iYcOGAIAzZ85g6NChaNq0KSZOnIjNmzdznK5EamoqWJaFhYUFbty4AT09PdF9ysrK0NfXh6KiIocJy3f27FmEhobC2dmZ6yikGsnGb1NCSJVo06YNQkNDRbdLC+odO3bAycmJq1jlyszMhKWlpcR2oVDI2/mUr169klr4WVtb49WrVxwkqtjEiRNx9OhRrmNUmo2NDV6+fMl1jErr2LEjZs2ahWXLluHGjRtwdXUFUHK9Q6NGjThOJ8nAwAAPHjyAQCDAuXPn0LNnTwAlH8L4UrCamprCzMwMQqEQjo6OMDU1FX0ZGhryJqc02tra0NHR4ToGqWY0ck2IHFm1ahX69u2LBw8eoLi4GJs2bcL9+/dx7do1REZGch1PQosWLfD333/D1NRUbPvRo0fRunVrjlJVzN7eHgEBARKjfAEBAbC3t+coVflWrVqF/v3749y5c7C1tYWSkpLY/evXr+comXRr1qzBvHnzsHLlSql5NTQ0OEomXUBAADw8PBASEoJt27aJ5gKfPXsWffv25TidpPHjx2PYsGGiKQu9evUCAFy/fp2XZwsSExNx6dIlqRe3+vr6cpSqfMuWLYOvry/27NmDevXqcR2HVBPqFkKInLl79y7WrVuH27dvQygUwsHBAfPnz4etrS3X0SScOnUKo0ePxoIFC7B06VIsWbIEjx49wt69e3H69GnRH34+iYyMhKurKxo3bgwnJycwDIOrV68iPT0dZ86cQadOnbiOKGbZsmXw8/NDs2bNYGBgIDY9iGEYXLx4kcN0kkqnr3w+jYllWTAMA4FAwEWsWiUkJATp6ekYOnSoaHR9z5490NLSwoABAzhO968dO3Zg6tSp0NXVRcOGDSVeu3fu3OEw3b9at24tli0pKQksy8LMzEziwyFfMpP/hoprQgivhYWFYeXKlWIfBnx9fdG7d2+uo5Xr2bNn2Lp1Kx4+fAiWZWFjYwMPDw8YGRlxHU2CtrY2NmzYgHHjxnEdpVK+dIalS5cuNZSkchQVFZGVlSVxrUNubi709fV5/WGA7+0vTU1N4eHhgfnz53MdpUJLliyp9L5+fn7VmITUFCquCZEjaWlpFd7Ptx7BsigtLQ0mJiZSLxBNS0vj3TFu2LAh/v77b1hZWXEdpVYqrxfzs2fP0KRJE3z8+JGjZNIJBAKsXLkSgYGBeP78uagXvo+PD8zMzHjVoUdDQwOxsbHUwo7wDs25JkSOmJmZVdgVhM+jaO/fv5eYU8m3+bUAYG5uXu5Ipbm5Oe+O8YwZM7BlyxbedIKojLy8PAQFBSEhIQEMw8DGxgYTJkyApqYm19FESo8nwzDYuXMn1NTURPcJBAJcvnyZl3OYV6xYITPtL4cOHYrz58+LdRLiOwsLC9y8eRMNGjQQ256XlwcHBwdRL38i26i4JkSOxMTEiN0uKipCTEwM1q9fz7sWcUBJy61p06bh0qVLKCgoEG3n8/za0myfe//+PS9Psd+4cQMXL17E6dOn0aJFC4k5oMePH+comXS3bt1Cnz59oKqqirZt24JlWdHr9/z583BwcOA6IgBgw4YNAEpeD4GBgWIdLJSVlWFmZobAwECu4pVLltpfWlpawsfHB9HR0VIvbuXj6qJPnjyR+nvr06dPyMjI4CARqQ5UXBMiR6R1q3B0dISRkRF++eUXDB48mINU5fvxxx8BALt27ZK42I5vSlfbYxgGPj4+Yp0ABAIBrl+/jlatWnGUrnxaWlq8+/9eES8vL7i5uWHHjh2oU6fkT1hxcTEmTZqEmTNn4vLlyxwnLJGamgoA6NatG44fP867pcPLI0vtL7dv3w41NTVERkZKzMVnGIZXxfWff/4p+ndYWJjYWRaBQIDw8HBerjBKvg0V14QQNG3aFDdv3uQ6hoT4+Hjcvn0bzZo14zrKF5WeFWBZFnfv3oWysrLoPmVlZdjb22POnDlcxSvX7t27uY7wVW7duiVWWANAnTp1MG/ePDg6OnKYTLqIiAiuI3wVWWp/WfoBRhYMHDgQQEnRP3bsWLH7lJSUYGZmBn9/fw6SkepAxTUhcuTzFeFYlkVWVhYWL17Mywva2rRpg/T0dJkorkuLqPHjx2PTpk28nA9eG2hoaCAtLU1ivnJ6ejrU1dU5SlU+gUCA4OBghIeHS+3FzLdWh35+fhg9ejQyMzMhFApx/PhxsfaX5NuU/n83NzfHzZs3oaury3EiUp2oWwghckRBQUFqf2ATExMcOnSId6s0Jicnw93dHaNGjULLli0l5lTa2dlxlEy2OTg4IDw8HNra2hI9eD/Ht767np6eOHHiBNatW4cOHTqAYRhcuXIFc+fOxf/+9z9s3LiR64hipk2bhuDgYLi6uooWZimrdG42n8hK+8sJEyZUeP+uXbtqKAkh4mjkmhA58vkpagUFBejp6cHS0lLsNDtf5OTkIDk5GePHjxdtYxiG1xc0du/evcL7+TBSOWDAAKioqAD493S1rFi3bh0YhsGYMWNQXFwMoOS0+tSpU7F69WqO00k6dOgQjhw5AhcXF66jVFqfPn3Qp08frmN80evXr8VuFxUV4d69e8jLy/vi+5BL4eHh5Z7JoA8EtQONXBNCeMvGxgbNmzfHvHnzpF7Q+Pm8UD7w8vISu11UVITY2Fjcu3cPY8eOxaZNmzhKVrvk5+cjOTkZLMvC0tKSt0tJGxkZ4dKlS2jatCnXUeSCUCiEh4cHLCwsMG/ePK7jSFiyZAmWLl0KR0dHqWcyTpw4wVEyUpWouCaklit7lfqXuLm5VWOSr1e/fn3ExcVJ7V4gaxYvXoz3799j3bp1XEchNcjf3x8pKSkICAjgbbcbHR0dJCYmQldXF9ra2hXmfPXqVQ0m+zaPHj1C165dkZWVxXUUCYaGhli7di1Gjx7NdRRSjfh3HpgQUqUqe9qfj9MsunfvXmuK61GjRqFt27a8K64FAgE2bNiAI0eOIC0tDYWFhWL386GYGjx4MIKDg6GhofHFtoF868t95coVRERE4OzZs7ztI75hwwbRxaAbNmzg7YeAykpOThZNGeKbwsJCdOjQgesYpJpRcU1ILff5nD5Z8v3338PLywt3796VukgE30baK3Lt2jVeLiKzZMkS7Ny5E7NmzYKPjw8WLVqEJ0+e4I8//oCvry/X8QAAmpqaooJPQ0NDpoo/LS0tDBo0iOsYFSrbGm7cuHHcBflKpb3lS5V2PwoNDZVod8cXkyZNwoEDB+Dj48N1FFKNaFoIIYS3FBQUyr2PjyPtACRGVkv/4N+6dQs+Pj7w8/PjKJl0TZo0webNm+Hq6gp1dXXExsaKtkVHR+PAgQNcRyQ16MyZM1BUVJS4oPH8+fMQCATo168fR8kkdevWTex26QXa3bt3x4QJE3h5kfaMGTOwd+9e2NnZwc7OTmLAYP369RwlI1WJf688Qki1+vDhAyIjI6VOAeDTimaAbI66l115DSj5g9+sWTMsXbqUd63MACA7Oxu2trYAADU1Nbx58wYA0L9/f16OrnXv3h3Hjx+HlpaW2Pa3b99i4MCBvOjGIsu8vb2ldl0RCoXw9vbmVXEtawv0ACULY5Wu1Hrv3j2x+2TpjAypGBXXhMiRmJgYuLi4ID8/Hx8+fICOjg5evnyJevXqQV9fn3fFtSyStRUPGzVqhKysLDRu3BiWlpY4f/48HBwccPPmTVG7Pj65dOmSxIdCACgoKMDff//NQSJJstxH/PHjx7CxsZHYbm1tjaSkJA4SfVlOTg4ePXoEhmHQtGlT6OnpcR2pXLL4gYB8PSquCZEjXl5e+P7777Ft2zZoaWkhOjoaSkpKGDVqFGbMmMF1PKkiIyOxbt06JCQkgGEYNG/eHHPnzkWnTp24jlYrDBo0COHh4WjXrh1mzJiBkSNHIigoCGlpaRJtBbkUHx8v+veDBw+QnZ0tui0QCHDu3DkYGxtzEU2CLPcR19TUREpKCszMzMS2JyUloX79+tyEKseHDx8wffp07N27V3SWS1FREWPGjMGWLVt4256xVEZGBhiG4c3rllQhlhAiNzQ1NdmHDx+K/v3gwQOWZVk2OjqabdasGZfRpPr999/ZOnXqsMOGDWM3bdrEbty4kR02bBirpKTE7t+/n+t4UhUXF7O//PIL26ZNG9bAwIDV1tYW++K7a9eusf7+/uzJkye5jiKGYRhWQUGBVVBQYBmGkfiqV68eGxQUxHVMmTd58mTW1taWTUpKEm17/Pgxa2dnx06cOJHDZJKmTJnCWlhYsGfOnGHfvHnDvnnzhg0NDWWbNGnCuru7cx1PKoFAwC5ZsoTV0NAQvZ41NTXZpUuXsgKBgOt4pIpQcU2IHNHV1WUfPXrEsizLNm3alD137hzLsiybkJDAqqqqchlNKmtra3b9+vUS2/39/Vlra2sOEn2Zj48Pa2hoyP7yyy9s3bp12WXLlrETJ05kGzRowG7atInreDLryZMnbGpqKsswDHvz5k32yZMnoq9nz56xxcXFXEesFfLy8tj27duzderUYc3MzFgzMzO2Tp06bLdu3djXr19zHU9MgwYN2IiICIntFy9eZHV1dWs+UCV4e3uzenp67K+//srGxcWxsbGx7NatW1k9PT124cKFXMcjVYS6hRAiR3r37o1x48bhhx9+gLu7O2JiYuDp6Ynff/8dr1+/xvXr17mOKEZFRQX379+X6HOdlJSEli1boqCggKNk5ZOF7huyvLCQrJGFPuKfY1kWFy5cQFxcHFRVVWFnZ4fOnTtzHUtCvXr1cPv2bTRv3lxs+/3799G2bVt8+PCBo2TlMzIyQmBgoMT76uTJk/Dw8EBmZiZHyUhVojnXhMiRlStX4t27dwCAZcuWYezYsZg6dSosLS15eSGeiYkJwsPDJYrr8PBwmJiYcJSqYrLQfUOWFxYCSlbg27Jli2gevrW1NaZNmwZra2uuo0mQhT7in2MYBr179+Zld5uynJyc4Ofnh71794p6yH/8+BFLliyBk5MTx+mke/XqldTXqbW1NS8/aJFvQ8U1IXLE0dFR9G89PT2cOXOGwzRfNnv2bHh6eiI2NhYdOnQAwzC4cuUKgoODsWnTJq7jSSUL3TdkscVhqZCQEIwcORKOjo6iAio6Ohq2trY4cOAAhg4dynFCcfv378eOHTvg6uqKJUuWYOTIkWjSpAns7OwQHR3Niw49mzdvxpQpU1C3bl1s3ry5wn35kLfUpk2b0LdvXzRq1Aj29vZgGAaxsbGoW7cuwsLCuI4nlb29PQICAiSOc0BAAOzt7TlKRaoaTQshRI4sWbIEo0aNQpMmTbiOUmknTpyAv78/EhISAEDULWTAgAEcJ5PO29sbGhoaWLhwoagQNDMzE3XfkNZDmFSehYUFRo0ahaVLl4pt9/Pzw++//46UlBSOkklXv359JCQkoHHjxjA0NERoaCgcHByQkpKC1q1bi85scMnc3By3bt1CgwYNYG5uXu5+DMPw7vh+/PgR+/btw8OHD8GyLGxsbPDjjz9CVVWV62hSRUZGwtXVFY0bN4aTkxMYhsHVq1eRlpaGs2fPUhekWoKKa0LkiJ2dHe7fv482bdpg1KhRGD58OK97wtYG169fR1RUFCwtLXk5f9nT0xOWlpYSI5IBAQFISkrCxo0buQlWjnr16iE+Pl5iqtDjx49hb2+P/Px8jpJJ16xZM+zduxft2rVDp06d4OrqCm9vbxw+fBjTp0/HixcvuI5IalhmZia2bduGhIQE0QcCDw8PGBkZcR2NVBEqrgmRM/fv38f+/ftx6NAhZGRkoGfPnhg1ahQGDhzIu76wN2/ehFAoRLt27cS2X79+HYqKimLTXGSNq6srdu7cCUNDQ05zGBsb488//8R3330ntv3OnTtwc3NDRkYGR8mkc3FxwdChQzF+/Hix7bt378ahQ4d4Nx2AzmRUr8zMTERFReHFixcS0534NIWlrIKCAsTHx0vNzMcP4OTrUXFNiByLiorCgQMHcPToURQUFODt27dcRxLTtm1bzJs3D0OGDBHbfvz4caxZs4Z33U2+hrq6OuLi4mBhYcFpjrp16+LevXsy05ElMDAQvr6+GDZsGNq3bw+gZM710aNHsWTJErHRPz4WKtHR0bh69SqvzmTMmjWr0vuuX7++GpN8nd27d8Pd3R3Kyspo0KCB2EqYfJzCAgDnzp3DmDFjkJubi8/LL75eQEy+HhXXhMix2NhY7Nu3D4cOHUJubi4+fvzIdSQxampqiI+PlyhAU1NTYWdnJ+p8Iov4Uly3bNkS7u7umDZtmtj2LVu2YNu2bXjw4AFHyaRTUFCo1H5UqFRet27dKrUfwzC4ePFiNaepPBMTE7i7u2PBggWVfl1wzdLSEn369IGvry8MDAy4jkOqCXULIUTOpKam4sCBA9i/fz8SExPRuXNnLF68mHddFoCSPtfPnz+XKECzsrJQpw79+qoKs2bNwrRp05CTk4Pu3bsDKGl16O/vz7v51oBsdDqRtT7iERERXEf4Jvn5+RgxYoTMFNYA8OLFC8yaNYsK61qORq4JkSNOTk64ceMGbG1t8eOPP+KHH36AsbEx17HKNWLECGRnZ+PkyZPQ1NQEAOTl5WHgwIHQ19fHkSNHOE747fgycg0A27Ztw4oVK/Ds2TMAgJmZGRYvXowxY8ZwnKxiBQUFov7GfFJbRtczMjLAMAxvf0fMmzcPOjo68Pb25jpKpU2YMAHOzs6YOHEi11FINaLimhA5snDhQvz4449o0aIF11EqJTMzE507d0Zubi5at24NoGQqi4GBAS5cuMDbhWQqg0/FdamcnByoqqpCTU1N4r6oqCg4Ojpy3qtbIBBg5cqVCAwMxPPnz5GYmAgLCwv4+PjAzMyMipb/SCgUYvny5fD398f79+8BlLxWZ8+ejUWLFvFqlFggEKB///74+PEjbG1toaSkJHY/n+aHl8rPz8fQoUOhp6cnNTNfL8IkX4fOqxIiR1auXFmp/TQ0NBAbG8t54WdsbIz4+Hjs379ftBTz+PHjMXLkSIk/SuS/q6gtY79+/XjxmlixYgX27NmDtWvXYvLkyaLttra22LBhAxXX/9GiRYsQFBSE1atXw9nZGSzLIioqCosXL0ZBQQFWrFjBdUSRlStXIiwsDM2aNQMAiQsa+ejAgQMICwuDqqoqLl26JJGZiuvagUauCSES+DiqWtusWrUKU6dOhZaWFtdRKoUvrwlLS0v89ttv6NGjh1imhw8fwsnJCa9fv+Y0nzTh4eHYsGGD2HLtM2fORM+ePbmOJsHIyAiBgYESc8FPnjwJDw8PZGZmcpRMkra2NjZs2IBx48ZxHaXSGjZsCE9PT3h7e/PqLACpWjRyTQjhtcTERFy6dElqT1hfX1+OUlWsMr13FyxYwEU0mZeZmSnRNhAomc5QVFTEQaKKBQQEwMvLC0OGDMGMGTMAlLTjc3Fxwfr16yW6tHDt1atXsLa2lthubW2NV69ecZCofCoqKnB2duY6xlcpLCzE8OHDqbCu5ai4JoTw1o4dOzB16lTo6uqiYcOGEqdQ+Vhcf6n3Lp32/W9atGiBv//+G6ampmLbjx49KpqXzyerVq3Chg0bxIpoT09PODs7Y8WKFbwrru3t7REQEIDNmzeLbQ8ICIC9vT1HqaSbMWMGtmzZIpGVz8aOHYvDhw9j4cKFXEch1YiKa0IIby1fvhwrVqzA/PnzuY5Sab6+vvD19ZWp3ruyxM/PD6NHj0ZmZiaEQiGOHz+OR48eYe/evTh9+jTX8SS8ffsWffv2ldjeu3dvXr6u165dC1dXV/z1119wcnICwzC4evUq0tPTcebMGa7jiblx4wYuXryI06dPo0WLFhLXYRw/fpyjZOUTCARYu3YtwsLCYGdnJxMXYZKvR8U1IUQCXy4Gev36NS/7b1dEFnvvVgZfXhPff/89Dh8+jJUrV4rOXjg4OODUqVPo1asX1/EkuLm54cSJE5g7d67Y9pMnT+L777/nKFX5unTpgsTERGzduhUPHz4Ey7IYPHgwPDw8xFa/5AMtLS0MHjyY6xhf5e7du6IzLPfu3RO7jy/vMfLf0QWNhBAJfLl4beLEiWjTpg3c3d05zfE1ZLH3bmXw5TUha5YvX45169bB2dkZTk5OAErmXEdFRWH27NnQ0NAQ7UtThgipHai4JkQOFRYWIjU1FU2aNJG60uGVK1fQpk0bznsar1q1CuvXr4erq6vM9ISVtd673bt3x/HjxyW6lrx9+xYDBw7k1XLXAHDz5k0IhUK0a9dObPv169ehqKgIR0dHjpJJZ25uXqn9GIZBSkpKNaepnNevXyMoKEjU3aR58+YYP348dHR0uI5GiEyg4poQOZKfn4/p06djz549ACBagMPT0xNGRka8G22tqDDhUzFS1rJly+Dn54dmzZrBwMBA4oJGvhWrCgoKyM7Ohr6+vtj2Fy9ewNjYmHcdONq2bYt58+ZhyJAhYtuPHz+ONWvW4Pr16xwlqx0iIyMxYMAAaGhoiD6o3L59G3l5efjzzz/RpUsXjhOKCwkJwZEjR5CWlobCwkKx++7cucNRKiLvaM41IXJkwYIFiIuLw6VLl8QusurZsyf8/Px4V1ynpqZyHeGrrV+/Hrt27eJ97934+HjRvx88eIDs7GzRbYFAgHPnzvFy2esHDx7AwcFBYnvr1q3x4MEDDhLVLj/99BOGDRuGbdu2QVFREUDJ68HDwwM//fSTxDxhLm3evBmLFi3C2LFjcfLkSYwfPx7Jycm4efMmfvrpJ67jETlGxTUhcuSPP/7A4cOH0b59e7ERVRsbGyQnJ3OY7F+zZs3CsmXLUL9+fcyaNavc/RiGgb+/fw0mqxxZ6b3bqlUrMAwDhmHQvXt3iftVVVWxZcsWDpJVTEVFBc+fP5eY+52VlSV1ihPXWJZFSEgIIiIipPY951tHi+TkZBw7dkxUWAOAoqIiZs2ahb1793KYTNKvv/6K7du3Y+TIkdizZw/mzZsHCwsL+Pr68q4nN5Ev/PtNRAipNjk5ORKn/wHgw4cPvLlSPSYmRjQVISYmptz9+JL3c7LSezc1NRUsy8LCwgI3btwQW/pcWVkZ+vr6YgUWX/Tq1QsLFizAyZMnoampCQDIy8vDwoULedktZMaMGdi+fTu6desmMU2IjxwcHJCQkCBaUrxUQkICWrVqxU2ocqSlpaFDhw4ASj4Mvnv3DgAwevRotG/fHgEBAVzGI3KMimtC5EibNm0QGhqK6dOnA/i3QN2xY4eokwHXIiIipP5bVshK793SRVg+H0nlO39/f3Tu3BmmpqailmaxsbEwMDDA77//znE6Sfv27cPx48fh4uLCdZRK8fT0xIwZM5CUlIT27dsDKOlusnXrVqxevVpsOpGdnR1XMQGULCWem5sLU1NTmJqaIjo6Gvb29qIPjoRwhYprQuTIqlWr0LdvXzx48ADFxcXYtGkT7t+/j2vXriEyMpLreLWCrPXe3bNnD3R1deHq6gqgpJXg9u3bYWNjg4MHD0qshMg1Y2NjxMfHY//+/YiLi4OqqirGjx+PkSNHSnyQ4QNNTU2Zal84cuRIACWvA2n3MQwDlmXBMAwEAkFNxxPTvXt3nDp1Cg4ODpg4cSK8vLwQEhKCW7duydR7kNQ+1C2EEDlz9+5drFu3Drdv34ZQKISDgwPmz58PW1tbrqMRDjRr1gzbtm1D9+7dce3aNfTo0QMbN27E6dOnUadOHd6MtMuqPXv24Ny5c9i1axdUVVW5jvNFT58+rfS+XH/wEgqFEAqForn2R44cwZUrV2BpaQl3d3coKytzmo/ILyquCSFEjtWrVw8PHz5E48aNMX/+fGRlZWHv3r24f/8+unbtipycHK4jSkhMTMSlS5ekXiDo6+vLUSrp8vPzMXjwYERFRcHMzExidF1W28W5urpi586dMDQ05DrKF3l4eGDp0qXQ1dXlOgqREzQthBA59OLFC6mFCddzKGsDc3PzCi9a41tvbjU1NeTm5qJx48Y4f/48vLy8AAB169bFx48fOU4naceOHZg6dSp0dXXRsGFDiT7ifCuux40bh9u3b2PUqFEycUFjZV2+fJmXrw9p9u3bhzlz5lBxTWoMFdeEyJHbt29j7NixSEhIkLjghw9zKGuDmTNnit0uKipCTEwMzp07h7lz53ITqgK9evXCpEmT0Lp1ayQmJormXt+/fx9mZmbchpNi+fLlWLFiBebPn891lEoJDQ1FWFgYOnbsyHUUuUUn6ElNo+KaEDkyfvx4NG3aFEFBQbVqFI1PZsyYIXX71q1bcevWrRpO82Vbt27Fzz//jPT0dBw7dgwNGjQAUPJBrPTiNj55/fo1hg4dynWMSjMxMYGGhgbXMQghNYjmXBMiR9TV1RETEwNLS0uuo8idlJQUtGrVCm/fvuU6ikybOHEi2rRpA3d3d66jVEpoaCi2bNmCwMBAXp4J+Fbq6uqIi4uTiU4ospSV1A40ck2IHOnRowfi4uKouOZASEgIdHR0uI5Rrvz8fKSlpaGwsFBsO9/m4VtaWsLHxwfR0dGwtbWVuEDQ09OTo2TSjRo1Cvn5+WjSpAnq1asnkZdWEiSk9qHimhA5snPnTowdOxb37t1Dy5YtJf7Qu7m5cZSs9mjdurXYdBuWZZGdnY2cnBz8+uuvHCaTLicnB+PGjcO5c+ek3s+3efjbt2+HmpoaIiMjJXqzMwzDu+J648aNXEcghNQwKq4JkSNXr17FlStXcPbsWYn76ILGqjFw4ECx2woKCtDT00PXrl1hbW3NTagKzJw5E3l5eYiOjka3bt1w4sQJPH/+HMuXL4e/vz/X8SSkpqZyHeGrjB07lusIX+Tg4IDw8HBoa2tj6dKlmDNnDurVq1fhYxYuXMjrMzFljRo1iua9kxpFc64JkSNmZmbo378/fHx8YGBgwHUcwgOGhoY4efIk2rZtCw0NDdy6dQtNmzbFn3/+ibVr1+LKlStcR5R5AoEAf/zxBxISEsAwDGxsbODm5gZFRUWuowEAVFVV8fjxYzRq1AiKiorIysqCvr4+17EqpaCgAPHx8VJbi9KZOMIVGrkmRI7k5ubCy8uLCusq9vbtW9HI2JcuWOTbCNqHDx9EhZSOjg5ycnLQtGlT2Nra8maBk1mzZmHZsmWoX78+Zs2aVeG+69evr6FUlZOUlAQXFxdkZmaiWbNmYFkWiYmJMDExQWhoKJo0acJ1RLRq1Qrjx49Hx44dwbIs1q1bBzU1Nan78qmP+Llz5zBmzBi8fPlS4j46E0e4RMU1IXJk8ODBiIiI4MUf9NpEW1tbNNqnpaUltcUhy7K8/IPfrFkzPHr0CGZmZmjVqhV+++03mJmZITAwkDer78XExKCoqEj07/LwsbWkp6cnmjRpgujoaNE0itzcXIwaNQqenp4IDQ3lOCEQHBwMPz8/nD59GgzD4OzZs6Ilxcvi2yI906ZNw9ChQ+Hr60sDBoRXaFoIIXJkxYoV2LhxI1xdXWWi04KsiIyMhLOzM+rUqSNxkd3nunTpUkOpKmf//v0oKirCuHHjEBMTgz59+iA3NxfKysoIDg7G8OHDuY74TTIyMmBkZAQFBQVOc9SvX1/U2aSsuLg4ODs74/379xwlk05BQQHZ2dkyMS1EQ0MDMTExNFhAeIeKa0LkiLm5ebn3MQzDu6W5Sc3Lz8/Hw4cP0bhxY5leLlpDQwOxsbGc9zbW0dHB6dOn0aFDB7HtUVFR+P7776kV338wYcIEODs7Y+LEiVxHIUQMFdeEEFLF6CIr7vFl4ZAxY8bgzp07CAoKQtu2bQEA169fx+TJk/Hdd98hODiY03zSJCcnY+PGjaILMJs3b44ZM2bwboQ4Pz8fQ4cOhZ6eHp2JI7xCxTUhhFQhWbjI6ksXBZbFtwsEK4svxXVeXh7Gjh2LU6dOiYq/4uJiuLm5ITg4GJqampzm+1xYWBjc3NzQqlUrODs7g2VZXL16FXFxcTh16hR69erFdUSRnTt3wt3dHaqqqmjQoIHYnHs6E0e4RMU1IbWcLHdakEWWlpbo06cPry+y6tatW6X2YxgGFy9erOY01YMvxXWppKQkJCQkgGVZ2NjY8HaV1NatW6NPnz5YvXq12HZvb2+cP3+eNx1kAKBhw4bw9PSEt7c353PrCSmLimtCarnShUG0tLS+WFRFRETUUKraq7ZeZMWXCwQri2/FtayoW7cu7t69CysrK7HtiYmJsLOzQ0FBAUfJJOno6ODmzZu17r1GZB+14iOklitbMFPxXP2GDBmCS5cu1bo/+DY2Nry4QLCy+NKWb8iQIXB0dIS3t7fY9l9++QU3btzA0aNHOUomnZ6eHmJjYyWK69jYWN51EBk7diwOHz6MhQsXch2FEDFUXBMiRyZMmIBNmzZBXV1dbPuHDx8wffp07Nq1i6NktUdAQACGDh2Kv//+u1ZdZCVrJzn5kjcyMhJ+fn4S2/v27Yt169ZxkKhikydPxpQpU5CSkoIOHTqAYRhcuXIFa9aswezZs7mOJ0YgEGDt2rUICwuDnZ2dxHuNprkRrtC0EELkSHlLG798+RINGzZEcXExR8lqj9p6kRVfplkEBwdj2LBhqFevXoX7paenw8jIiPMlxlVVVREbG4tmzZqJbX/48CFat26Njx8/cpRMOpZlsXHjRvj7++PZs2cAACMjI8ydOxeenp68OSMAVHztgCxfL0BkHxXXhMiBt2/fgmVZaGtr4/Hjx9DT0xPdJxAIcOrUKXh7e4v+mJJvV1svsuJLcW1oaIgPHz5g6NChmDhxokT/aL5p06YNvv/+e4mVDRcvXoxTp07h9u3bHCX7snfv3gGAxJkuoKRPt6OjI1RUVGo6FiG8R9NCCJEDpUtyMwyDpk2bStzPMAyWLFnCQbLap7CwEMOHD69VhTWfZGRkIDQ0FMHBwejWrRvMzc0xfvx4jB07Fg0bNuQ6ngQfHx/873//Q3JyMrp37w4ACA8Px8GDB3k33/pz0orqUv369ZOpOfiE1CQauSZEDkRGRoJlWXTv3h3Hjh2Djo6O6D5lZWWYmprCyMiIw4S1h5eXF/T09GrdRVZ8WfGwrBcvXmDfvn0IDg7Gw4cP0bdvX0ycOBHff/89rz7chIaGYuXKlYiNjYWqqirs7Ozg5+eHLl26cB3tm3F1JmPw4MEIDg6GhoYGBg8eXOG+x48fr6FUhIijkWtC5EDpH/HU1FQ0btyYV/Mma5vaepEVH8dh9PX14ezsjEePHiExMRF3797FuHHjoKWlhd27d6Nr165cRwQAuLq6wtXVtcJ9Dh48CDc3N9SvX7+GUskmTU1N0e8vvi3AQ0gpGrkmRM78/fff+O2335CSkoKjR4/C2NgYv//+O8zNzdGxY0eu48k8Wb3IKikpCcnJyejcuTNUVVXBsqzYhzC+XCAIAM+fP8fvv/+O3bt3IyUlBQMHDsTEiRPRs2dPfPz4ET///DNCQkLw9OlTrqNWGh/PDFSEL3PwCeEjGrkmRI4cO3YMo0ePxo8//og7d+7g06dPAEouXFq5ciXOnDnDcULZJ2u9xHNzczF8+HBcvHgRDMPg8ePHsLCwwKRJk6ClpQV/f38AgImJCcdJS3z//fcICwtD06ZNMXnyZIwZM0ZsmpOqqipmz56NDRs2cJjy69E4FyG1B38mpRFCqt3y5csRGBiIHTt2iE1X6NChA6+WNa4NkpKSEBYWJmq1xtfiycvLC3Xq1EFaWppYe7vhw4fj3LlzHCaTTl9fH5GRkbh37x5mzpwpVliXMjQ0RGpqKgfp5AdfppaFhIRg2LBhaN++PRwcHMS+COEKFdeEyJFHjx6hc+fOEts1NDSQl5dX84FqodzcXPTo0QNNmzaFi4sLsrKyAACTJk3i3SIcAHD+/HmsWbMGjRo1EttuZWXFy2kVQUFBcHJyqnAfhmFgampaQ4lqD5Zl8fTp00r13ubDh8XNmzdj/Pjx0NfXR0xMDNq2bYsGDRogJSUF/fr14zoekWNUXBMiRwwNDZGUlCSx/cqVKzR3sop4eXlBSUlJZkaCP3z4IHVBlpcvX/Kyh7Gnpyc2b94ssT0gIAAzZ86s+UC1CMuysLKyQkZGxhf3fffuHee/M3799Vds374dAQEBUFZWxrx583DhwgV4enrizZs3nGYj8o2Ka0LkyP/93/9hxowZuH79OhiGwbNnz7B//37MmTMHHh4eXMerFWRtJLhz587Yu3ev6DbDMBAKhfjll18qvDiTK8eOHYOzs7PE9g4dOiAkJISDRLWHgoICrKyskJuby3WUSklLSxMtIqSqqipa9Gb06NE4ePAgl9GInKMLGgmRI/PmzcObN2/QrVs3FBQUoHPnzlBRUcGcOXMwbdo0ruPVCrI2EvzLL7+ga9euuHXrFgoLCzFv3jzcv38fr169QlRUFNfxJOTm5kptwaahoYGXL19ykKhqmJqaSrRt5MLatWsxd+5cbNu2DS1btuQ6ToUaNmyI3NxcmJqawtTUFNHR0bC3t0dqaiovpq0Q+UWt+Aip5eLj49GyZUuxRTXy8/Px4MEDCIVC2NjYQE1NjcOEtYurqyscHBywbNkyqKurIz4+HqamphgxYgSEQiEvR1ezs7Oxbds23L59G0KhEA4ODvjpp59gaGjIdTQJLVu2hLu7u8SHwS1btmDbtm148OABR8kqVlhYiBcvXkAoFIptb9y4MUeJpNPW1kZ+fj6Ki4uhrKwMVVVVsftfvXrFUTJJkyZNgomJCfz8/BAYGIhZs2bB2dkZt27dwuDBgxEUFMR1RCKnqLgmpJZTVFREVlYW9PX1YWFhgZs3b6JBgwZcx6q1Hjx4gK5du+K7777DxYsX4ebmJjYS3KRJE64jyrRdu3Zh2rRpmDt3rthy4v7+/ti4cSMmT57McUJxjx8/xoQJE3D16lWx7aV9xAUCAUfJpNuzZ0+F948dO7aGknyZUCiEUChEnTolJ+GPHDmCK1euwNLSEu7u7lBWVuY4IZFXVFwTUss1aNAAZ86cQbt27aCgoIDnz59DT0+P61i1miyNBO/evRtqamoYOnSo2PajR48iPz+fV8VUqW3btmHFihV49uwZAMDMzAyLFy/GmDFjOE4mydnZGXXq1IG3tzcMDQ0lWtjZ29tzlIwQUl2ouCaklpsyZQr27t0LQ0NDpKWloVGjRuWuspeSklLD6WqXoqIi9O7dG7/99huaNm3KdZxKadasGQIDAyUuXoyMjMSUKVPw6NEjjpJ9WU5ODlRVVXk9ral+/fq4ffs2rK2tuY5SacnJydi9ezeSk5OxadMm6Ovr49y5czAxMUGLFi04zRYfH1/pfe3s7KoxCSHlowsaCanltm/fjsGDByMpKQmenp6YPHky1NXVuY5VKykpKeHevXu8WWCjMp4+fQpzc3OJ7aampkhLS+MgUeXJwhkYGxsbmbrQMjIyEv369YOzszMuX76MFStWQF9fH/Hx8di5cyfn1wy0atUKDMN88YJFPk65IfKDimtC5EDfvn0BALdv38aMGTOouK5GY8aMQVBQEFavXs11lEopLZzMzMzEtsfFxfFmbr6DgwPCw8Ohra2N1q1bV/jhhW8rja5Zswbz5s3DypUrYWtrK9ERRENDg6Nk0nl7e2P58uWYNWuW2O+Jbt26YdOmTRwmK0ErbxJZQMU1IXJk9+7dXEeo9QoLC7Fz505cuHABjo6OqF+/vtj969ev5yiZdCNGjICnpyfU1dVFq3dGRkZixowZGDFiBMfpSgwYMEDUxnDgwIHchvlKPXv2BAD06NFDbDtfL2i8e/cuDhw4ILFdT0+PF/2vaeVNIguouCaklhs8eDCCg4OhoaGBwYMHV7jv8ePHayhV7XXv3j04ODgAABITE8Xu4+N0keXLl+Pp06fo0aOHqOuCUCjEmDFjsHLlSo7TlfDz85P6b1kQERHBdYSvoqWlhaysLImpQjExMTA2NuYolXSrVq2CgYEBJkyYILZ9165dyMnJwfz58zlKRuQdFdeE1HKampqiok7a4hukaslaMaWsrIzDhw9j2bJliIuLg6qqKmxtbWmEsIp06dKF6whf5YcffsD8+fNx9OhR0WqdUVFRmDNnDu+6sfz2229SR9lbtGiBESNGUHFNOEPdQgghpJqkp6eDYRiJpdDJ19HW1q70qD+fFjkp9ffff+O3335DSkoKjh49CmNjY/z+++8wNzdHx44duY4npqioCOPGjcOhQ4fAsizq1KkDgUCAH374AcHBweV2GuJC3bp1kZCQIDHKnpKSAhsbGxQUFHCUjMg7GrkmhJAqVFxcjCVLlmDz5s14//49AEBNTQ3Tp0+Hn58fL5a4LksgECA4OBjh4eFSVxC8ePEiR8n+tXHjRq4jfLNjx45h9OjR+PHHH3Hnzh18+vQJAPDu3TusXLkSZ86c4TihOCUlJezfvx9Lly5FTEwMhEIhWrduDSsrK66jSTAxMUFUVJREcR0VFQUjIyOOUhFCxTUhtd6XuiuUxbdOC7Jo2rRpOHHiBNauXQsnJycAwLVr17B48WK8fPkSgYGBHCcUN2PGDAQHB8PV1RUtW7bk5bxwPi5kU1nLly9HYGAgxowZg0OHDom2d+jQAUuXLuUwWcWaNGkCCwsLAPy8VgAoWf585syZKCoqElutc968eZg9ezbH6Yg8o+KakFpO1roryLqDBw/i0KFD6Nevn2ibnZ0dGjdujBEjRvCuuD506BCOHDkCFxcXrqNUmkAgwB9//IGEhAQwDAMbGxu4ubnxaspCqUePHom6sJSloaGBvLy8mg9UCUFBQdiwYQMeP34MALCyssLMmTMxadIkjpOJmzdvHl69egUPDw8UFhYCKJkqMn/+fCxYsIDjdESeUXFNSC33Ld0VDh48CDc3N4k2cuTL6tatK9EzGihZoltZWbnmA32BsrIyLC0tuY5RaUlJSXBxcUFmZiaaNWsGlmWRmJgIExMThIaGokmTJlxHFGNoaIikpCSJ18SVK1dEI8N84uPjgw0bNmD69OliZ168vLzw5MkTLF++nOOE/2IYBmvWrIGPjw8SEhKgqqoKKysrUdvGUhkZGTAyMoKCggJHSYm8oQsaCSESNDQ0EBsby8s//ny3dOlSPHz4ELt37xb9kf/06RMmTpwIKysr3rWS8/f3R0pKCgICAnh7+r8sFxcXsCyL/fv3Q0dHBwCQm5uLUaNGQUFBAaGhoRwnFLd27Vrs2bMHu3btQq9evXDmzBk8ffoUXl5e8PX1xbRp07iOKEZXVxdbtmzByJEjxbYfPHgQ06dPl6nVJkvR7zNS02jkmhAigT5zf7uYmBiEh4ejUaNGsLe3B1Cy2mFhYSF69Ogh1mucD33Fr1y5goiICJw9exYtWrSQuOCSDxnLioyMRHR0tKiwBoAGDRpg9erVcHZ25jCZdPPmzcObN2/QrVs3FBQUoHPnzlBRUcGcOXN4V1gDJVNuHB0dJbZ/9913KC4u5iDRf0e/z0hNo+KaEEKqkJaWFv73v/+JbTMxMeEozZdpaWlh0KBBXMeoNBUVFbx7905i+/v373k57QYAVqxYgUWLFuHBgwcQCoWwsbGBmpoa17GkGjVqFLZt2yaxkuj27dvx448/cpSKENlCxTUhhFShyi4xHxUVhU+fPknMD61plc3LF/3798eUKVMQFBSEtm3bAgCuX78Od3d3uLm5cZyufPXq1YOBgQEYhuFdYT1r1izRvxmGwc6dO3H+/Hm0b98eABAdHY309HTeLSJDCF/RnGtCiAR1dXXExcXRHMVqRPNAv01eXh7Gjh2LU6dOiaawFBcXw83NDcHBwbxbhVQW+p5369atUvsxDMOLvudfi36fkZpGI9eEEMIBLsc1HBwcEB4eDm1t7S/2Qedb73MtLS2cPHkSjx8/RkJCAgDAxsaGtx1PZKHveUREBNcRqpUsXKhLahcqrgmREwKBAFeuXIGdnR20tbUr3NfU1JQXI2qkegwYMEA0HUVW+6BbWVmJCmo+F0+y1ve8NqIT9KSm0bQQQuRI3bp1kZCQILFcMKl5dKr628nKIicAYGBggEuXLqF58+Zi2xMSEtC5c2fk5ORwlEy6goICbNmyBREREXjx4gWEQqHY/Xw7k1EZ6enpMDIy4uUiQ6R2opFrQuSIra0tUlJSqLgmIunp6WAYBo0aNQIA3LhxAwcOHICNjQ2mTJnCcTpJsrTICQD89NNPWLZsmUTf8xUrVvCyFd+ECRNw4cIFDBkyBG3btuXdWYGyrSy/pLSNJJ+79ZDaiUauCZEj58+fx/z587Fs2TJ89913EiswamhocJRM/vDlgsZOnTphypQpGD16NLKzs9G0aVO0bNkSiYmJ8PT0hK+vL6f5Pidri5wMGjQI4eHhUFFRkdr3vCw+9BTX1NTEmTNneNkzHADGjx9f6X1lrRMOqT1o5JoQOdK3b18AgJubm9iIFMuyYBgGAoGAq2hyhy/jGvfu3RO1tDty5AhsbW0RFRWF8+fPw93dnXfFtawtciJrfc+NjY2hrq7OdYxyUcFMZAEV14TIkdreFYAPFi9ejPHjx8PU1LTC/aQthMKFoqIi0XSFv/76S9Qr2traGllZWVxGk0rWFjmRtWLQ398f8+fPR2Bg4Bdfw4QQ6WhaCCGEVKHvvvsOcXFx6NKlCyZOnIjBgwejbt26XMcqV7t27dCtWze4urqid+/eiI6Ohr29PaKjozFkyBBkZGRwHVHM9OnTsXfvXpiYmEhd5KRsl5vPC3Au5eTk4NGjR2AYBk2bNoWenh7XkaTKycnBsGHDcPnyZdSrV0+ia9CrV684SiZdSEgIjhw5grS0NBQWFordJ4sXX5LagYprQuTM33//jd9++w0pKSk4evQojI2N8fvvv8Pc3BwdO3bkOl6tEB8fj927d+PAgQMoLCzEiBEjMGHCBLRp04braBIuXbqEQYMG4e3btxg7dix27doFAFi4cCEePnzIi3nAZcnagicfPnwQfSAo7byhqKiIMWPGYMuWLahXrx7HCcX17NkTaWlpmDhxomhFybLGjh3LUTJJmzdvxqJFizB27Fjs2LED48ePR3JyMm7evImffvoJK1as4DoikVcsIURuhISEsKqqquykSZNYFRUVNjk5mWVZlt26dSvbr18/jtPVPkVFRezx48fZ77//nlVSUmJbtmzJbty4kc3Ly+M6mpji4mL21atXYttSU1PZ58+fi25fuXKFLSgoqOlo3yw9PZ0VCARcx2CnTJnCWlhYsGfOnGHfvHnDvnnzhg0NDWWbNGnCuru7cx1PgqqqKhsbG8t1jEpp1qwZe+DAAZZlWVZNTU30+8zHx4f96aefuIxG5JwC18U9IaTmLF++HIGBgdixY4fY6d4OHTrQKdRqIBQKUVhYiE+fPoFlWejo6GDbtm0wMTHB4cOHuY4noqioKLGwkJmZGfT19UW3+/Xrh8zMzJqO9s1sbGzw5MkTrmPg2LFjCAoKQr9+/aChoQENDQ24uLhgx44dCAkJ4TqeBGtra3z8+JHrGJWSlpaGDh06AABUVVVF1zGMHj0aBw8e5DIakXNUXBMiRx49eoTOnTtLbNfQ0EBeXl7NB6qlbt++jWnTpsHQ0BBeXl5o3bo1EhISEBkZiYcPH8LPzw+enp5cx/wqrIzNIORL3vz8fBgYGEhs19fXR35+PgeJKrZ69WrMnj0bly5dQm5uLt6+fSv2xScNGzZEbm4ugJJVZaOjowEAqampvPn/T+QTFdeEyBFDQ0MkJSVJbL9y5Qrn/ZZrCzs7O7Rv3x6pqakICgpCeno6Vq9eLVqqGwDGjBnDu5X5SPVwcnKCn58fCgoKRNs+fvyIJUuWiBbB4ZO+ffvi2rVr6NGjB/T19aGtrQ1tbW1oaWlJnN3gWvfu3XHq1CkAwMSJE+Hl5YVevXph+PDhGDRoEMfpiDyjVnyEyJH/+7//w4wZM7Br1y4wDINnz57h2rVrmDNnDu/6GcuqoUOHYsKECTA2Ni53Hz09PYllpUnttGnTJvTt2xeNGjWCvb09GIZBbGws6tati7CwMK7jSZCldp3bt28XvY/c3d2ho6ODK1eu4Pvvv4e7uzvH6Yg8o24hhMiZRYsWYcOGDaKRNBUVFcyZMwfLli3jOBnhM3V1dcTFxcnMGQ4+5f348SP27duHhw8fgmVZ2NjY4Mcff4SqqirX0WRaWloaTExMJDqasCyL9PR0NG7cmKNkRN5RcU2IHMrPz8eDBw8gFAphY2MDNTU1riPJtFmzZlV6Xz71Xv4afFmuvbJkLa+rqyt27twJQ0NDTnNcvny5wvulXbPBFUVFRWRlZYldeAsAubm50NfXpxVnCWdoWgghcqhevXpSl5Am3yYmJqZS+30+wiZLZG0cRtbyXr58mRddOrp27Sqxrezrlk8FK8uyUt9T79+/5/XCTaT2o+KaEDlSUFCALVu2ICIiAi9evJCY90vt+L6NLM1T/dzHjx/BsqxoMZOnT5/ixIkTsLGxQe/evUX78WW59lJJSUlITk5G586doaqqKlFoPXjwAEZGRhwmlE2vX78Wu11UVISYmBj4+PjwZlGW0jNFDMPAx8dHbCEegUCA69evo1WrVhylI4SKa0LkyoQJE3DhwgUMGTIEbdu2lemRVFI1BgwYgMGDB8Pd3R15eXlo164dlJSU8PLlS6xfvx5Tp07lOqKY3NxcDB8+HBcvXgTDMHj8+DEsLCwwadIkaGlpwd/fHwBgYmLCcVLZpKmpKbGtV69eUFFRgZeXF27fvs1BKnGlZ4pYlsXdu3ehrKwsuk9ZWRn29vaYM2cOV/EIoeKaEHkSGhqKM2fOwNnZmesotdaHDx+wevVqhIeHSz07kJKSwlEy6e7cuYMNGzYAAEJCQmBgYICYmBgcO3YMvr6+vCuuvby8UKdOHaSlpaF58+ai7cOHD4eXl5eouCZVS09PD48ePeI6BoB/zxSNHz8emzZtgoaGBseJCBFHxTUhcsTY2Bjq6upcx6jVJk2ahMjISIwePRqGhoa8PzuQn58vek2cP38egwcPhoKCAtq3b4+nT59ynE7S+fPnERYWhkaNGoltt7Ky4mVeWRMfHy92m2VZZGVlYfXq1bC3t+colXS7d+8W/TsjIwMMw1TYApOQmkLFNSFyxN/fH/Pnz0dgYCBMTU25jlMrnT17FqGhoTJzdsDS0hJ//PEHBg0ahLCwMHh5eQEAXrx4wcsRwQ8fPojNsS318uVLqKiocJCodmnVqhUYhpG4ILR9+/bYtWsXR6mkEwqFWL58Ofz9/fH+/XsAJS0YZ8+ejUWLFkFBgdbJI9ygVx4hcsTR0REFBQWwsLCAuro6dHR0xL7If6etrS1Tx9LX1xdz5syBmZkZ2rVrJ1o18Pz582jdujXH6SR17twZe/fuFd1mGAZCoRC//PILunXrxmGyfzk4OIguDFy6dGmlljlfuHAhL143qampSElJQWpqKlJTU/H06VPk5+fj6tWrsLa25jqemEWLFiEgIACrV69GTEwM7ty5g5UrV2LLli3w8fHhOh6RY9TnmhA50rNnT6SlpWHixIkwMDCQmLIwduxYjpLVHvv27cPJkyexZ88eqSOsfJSdnY2srCzY29uLRvtu3LgBDQ0N3hVUDx48QNeuXfHdd9/h4sWLcHNzw/379/Hq1StERUWhSZMmXEeEqqoqHj9+jEaNGpXbi5nPwsPDy71mgE+j10ZGRggMDISbm5vY9pMnT8LDwwOZmZkcJSPyjoprQuRIvXr1cO3aNd7NnZR1rVu3FvugkpSUBJZlYWZmBiUlJbF9qd3hf5ednY1t27bh9u3bEAqFcHBwwE8//cT5AiylnJycoKamho4dO2LJkiWYM2dOuQs1+fr61nC6ii1ZsgRLly6Fo6Oj1GsGTpw4wVEySXXr1kV8fDyaNm0qtv3Ro0do1aoVL/qGE/lExTUhcsTBwQG//vor2rdvz3WUWmXJkiWV3tfPz68ak3w9WetuIgsePXoEPz8/JCcn486dO7CxsUGdOpKXODEMw7sPW4aGhli7di1Gjx7NdZQvateuHdq1a4fNmzeLbZ8+fTpu3ryJ6OhojpIReUfFNSFy5Pz581iyZAlWrFgBW1tbiVFVPl7ARqrXyJEjK+xuMmPGDI6SSbd7926oqalh6NChYtuPHj2K/Px83k1tUlBQQHZ2tsxMC2nQoAFu3LjBi+k1XxIZGQlXV1c0btwYTk5OYBgGV69eRXp6Os6cOYNOnTpxHZHIKSquCZEjpfNpPy+gSle349PSxrLKwsICN2/eRIMGDcS25+XlwcHBgXcjwVpaWjLV3aRZs2YIDAyUuHgxMjISU6ZM4U0vZlk1f/58qKmpycQFgWlpaahTpw62bt2Khw8fgmVZ2NjYwMPDA8XFxWjcuDHXEYmcolZ8hMgRWV6mW1Y8efJE6oeUT58+ISMjg4NEFZO17iZPnz6Fubm5xHZTU1OkpaVxkOjLkpOTsXHjRiQkJIBhGDRv3hwzZszg5ehwQUEBtm/fjr/++gt2dnYSZ7fWr1/PUTJJ5ubmyMrKkliWPTc3FyYmJjRYQDhDxTUhcqRLly5cR6i1/vzzT9G/w8LCxJaRFggECA8Pl1oUcm3ZsmXw9fWVme4m+vr6iI+Ph5mZmdj2uLg4ibMFfBAWFgY3Nze0atUKzs7OYFkWV69eRYsWLXDq1Cn06tWL64hi4uPj0apVKwDAvXv3xO7j24JI5Z14f//+PerWrVvDaQj5F00LIUTO5OXlISgoSDSKZmNjgwkTJogVg+TrlZ1y8/mvVSUlJZiZmcHf3x/9+/fnIp4YWe5uMm/ePBw5cgS7d+9G586dAZRMCZkwYQKGDBmCdevWcZxQXOvWrdGnTx+sXr1abLu3tzfOnz/Pu+MrC2bNmgUA2LRpEyZPniz2oVAgEOD69etQVFREVFQUVxGJnKPimhA5cuvWLfTp0weqqqpo27YtWJbFrVu38PHjR5w/fx4ODg5cR5R55ubmuHnzJnR1dbmOUi5Z7m5SWFiI0aNH4+jRo6IOHEKhEGPGjEFgYCCUlZU5Tiiubt26uHv3LqysrMS2JyYmws7ODgUFBRwlk12l8+0jIyPh5OQk9v9cWVkZZmZmmDNnjsQxJ6SmUHFNiBzp1KkTLC0tsWPHDlFhUlxcjEmTJiElJQWXL1/mOCEhlZOYmIi4uDioqqrC1tYWpqamXEeSysTEBOvXr5fobnLkyBHMmTOHt/PEZcH48eOxadMm6nJEeIeKa0LkiKqqKmJiYiRW3Xvw4AEcHR0rtUwz+TJZWeEOkL3uJrJm6dKl2LBhA7y9vdGhQwcwDIMrV65gzZo1mD17Nn7++WeuIxJCqhhd0EiIHNHQ0EBaWppEcZ2eng51dXWOUtUuX1rhjm9krbuJQCBAcHBwuR9eLl68yFEy6Xx8fKCurg5/f38sWLAAQMmy3YsXL4anpyfH6Qgh1YGKa0LkyPDhwzFx4kSsW7dObBRt7ty5GDlyJNfxaoXAwEAEBwfzfoU7We1uMmPGDAQHB8PV1RUtW7bk/YcXhmHg5eUFLy8vvHv3DgCkfpCNioqCo6MjVFRUajoiIaSK0bQQQuRIYWEh5s6di8DAQBQXFwMo6WQxdepUrF69mv6wVwFZWeFOlrqblKWrq4u9e/fCxcWF6yhVSkNDA7GxsbCwsOA6CiHkP6LimhA5lJ+fj+TkZLAsC0tLS5nobywrZGmFO0A2upuUZWRkhEuXLqFp06ZcR6lS6urqiIuLo+KakFqApoUQIkcmTJiATZs2QV1dHba2tqLtHz58wPTp03l3sZ0skqUV7gAgNTWV6whfZfbs2di0aRMCAgJ4PyWEECKfaOSaEDmiqKiIrKws6Ovri21/+fIlGjZsKJoqQr5daQ9eaRiG4d0Fd4BsdTcZNGgQIiIioKOjgxYtWkh8eDl+/DhHyf4bGrkmpPagkWtC5MDbt2/BsixYlsW7d+/ElgYWCAQ4c+aMRMFNvk1ERATXEb6KrHU30dLSwqBBg7iOQQgh5aLimhA5oKWlBYZhwDCM1LmqDMN81ap9pHIyMjLAMAyMjY25jlIuWeluUmr37t1cR6gWfP9QQwipPCquCZEDERERYFkW3bt3x7Fjx6CjoyO6T1lZGaampjAyMuIwYe0hFAqxfPly+Pv74/379wBKTvnPnj0bixYtEnXp4IvCwkJ06NCB6xi1EsuySEtLg76+PlRVVb+4LyGkdqA514TIkadPn6Jx48Y0SlaNFixYgKCgICxZsgTOzs5gWRZRUVFYvHgxJk+ejBUrVnAdUYwsdDdxcHBAeHg4tLW10bp16wpfv3fu3KnBZBUTCoWoW7cu7t+/DysrK67jEEJqCI1cEyJHEhISkJ6ejo4dOwIAtm7dih07dsDGxgZbt26FtrY2xwll3549e7Bz5064ubmJttnb28PY2BgeHh68K65lobvJgAEDRD3YBw4cyG2Yr6CgoAArKyvk5uZScU2IHKGRa0LkiK2tLdasWQMXFxfcvXsXjo6OmD17Ni5evIjmzZvX2vmsNalu3bqIj4+XmNv+6NEjtGrVCh8/fuQomXSy2N1EloSGhmL16tXYtm0bWrZsyXUcQkgNoOKaEDmipqaGe/fuwczMDIsXL8a9e/cQEhKCO3fuwMXFBdnZ2VxHlHnt2rVDu3btsHnzZrHt06dPx82bNxEdHc1RstohPT0dDMOgUaNGAIAbN27gwIEDsLGxwZQpUzhOJ0lbWxv5+fkoLi6GsrKyxNzrV69ecZSMEFJdaFoIIXJEWVkZ+fn5AIC//voLY8aMAQDo6Ojg7du3XEarNdauXQtXV1f89ddfcHJyAsMwuHr1KtLS0nD27Fmu41VIFrqb/PDDD5gyZQpGjx6N7Oxs9OzZEy1btsS+ffuQnZ0NX19friOK2bhxI9cRCCE1jEauCZEjbm5uKCwshLOzM5YtW4bU1FQYGxvj/PnzmDZtGhITE7mOWCtkZmZi27ZtSEhIAMuysLGxgYeHBy87sshadxNtbW1ER0ejWbNm2Lx5Mw4fPoyoqCicP38e7u7uSElJ4ToiIUTO0cg1IXIkICAAHh4eCAkJwbZt20QjlGfPnkXfvn05Tld7NGjQAG5ubmjfvr1oxcNbt24BgNiFjnywaNEiBAUFYfXq1RLdTQoKCnh3AWZRUZHo4sa//vpLdDytra2RlZXFZbRyJScnY/fu3UhOTsamTZugr6+Pc+fOwcTEBC1atOA6HiGkitHINSGEVKFz585hzJgxyM3NlehdzDAMBAIBR8mkMzIyQmBgoETRf/LkSXh4eCAzM5OjZNK1a9cO3bp1g6urK3r37o3o6GjY29sjOjoaQ4YMQUZGBtcRxURGRqJfv35wdnbG5cuXkZCQAAsLC6xduxY3btxASEgI1xEJIVWMX+f7CCHVKi0trcIv8t9NmzYNQ4cOxbNnzyAUCsW++FZYAyUX1FlbW0tst7a25uXFdmvWrMFvv/2Grl27YuTIkbC3twcA/Pnnn2jbti3H6SR5e3tj+fLluHDhApSVlUXbu3XrhmvXrnGYjBBSXWjkmhA5oqCgUOECHHws/mSNhoYGYmJi0KRJE66jVIosdjcRCAR4+/atWF/2J0+eoF69etDX1wcAREVFwdHRUTSFhCtqamq4e/cuzM3Noa6ujri4OFhYWODJkyewtrZGQUEBp/kIIVWP5lwTIkdiYmLEbhcVFSEmJgbr16/n3dxaWTVkyBBcunRJZoprWexuoqioKLHgkZmZmdjtfv36ITY2FhYWFjWYTJKWlhaysrJgbm4utj0mJobXXVkIId+ORq4JIQgNDcUvv/yCS5cucR1F5uXn52Po0KHQ09ODra2txIqHnp6eHCUrnyx1N6mssqPEXJo3bx6uXbuGo0ePomnTprhz5w6eP3+OMWPGYMyYMfDz8+M0HyGk6lFxTQjB48eP0apVK3z48IHrKDJv586dcHd3h6qqKho0aCA2DYdhGF62iisoKEB8fDxevHgh6m5Sim/dTSqLL8V1UVERxo0bh0OHDoFlWdSpUwcCgQA//PADgoODoaioyGk+QkjVo+KaEDny+UIxLMsiKysLixcvxsOHDxEbG8tNsFqkYcOG8PT0hLe3N+96REsja91NKosvxXWp5ORkxMTEQCgUonXr1rCysuI6EiGkmlBxTYgckXZBI8uyMDExwcGDB9GhQweOktUeOjo6uHnzpszMuba0tESfPn3g6+sLAwMDruNUGb4V1wBEH14quqiYECL7qLgmRI5ERkaK3VZQUICenh4sLS1Rpw5d31wVvLy8oKenh4ULF3IdpVJkrbtJZWloaPDigkYACAoKwoYNG/D48WMAgJWVFWbOnIlJkyZxnIwQUh3orykhcuTq1aswMDDAhAkTxLbv2rULOTk5mD9/PkfJag+BQIC1a9ciLCwMdnZ2Ehc0rl+/nqNk0slad5PK4su4kY+PDzZs2IDp06fDyckJAHDt2jV4eXnhyZMnWL58OccJCSFVjUauCZEjZmZmOHDggMT0j+vXr2PEiBFITU3lKFnt0a1bt3LvYxgGFy9erME0XyZr3U0+fvwIlmVRr149AMDTp09x4sQJ2NjYoHfv3hynk6Srq4stW7Zg5MiRYtsPHjyI6dOn4+XLlxwlI4RUFxq5JkSOZGdnw9DQUGK7np4esrKyOEhU+0RERHAd4ascOHAAYWFhUFVVxaVLlyS6m/CtuB4wYAAGDx4Md3d35OXloV27dlBSUsLLly+xfv16TJ06leuIYgQCARwdHSW2f/fddyguLuYgESGkuvH/UnZCSJUxMTFBVFSUxPaoqCiZ7mlMvt3PP/+MpUuX4s2bN3jy5AlSU1NFX3xsG3jnzh106tQJABASEgIDAwM8ffoUe/fulVhlkg9GjRqFbdu2SWzfvn07fvzxRw4SEUKqG41cEyJHJk2ahJkzZ6KoqAjdu3cHAISHh2PevHmYPXs2x+kIFwoLCzF8+HCZaBsIlExjUVdXBwCcP38egwcPhoKCAtq3b4+nT59ynK7ErFmzRP9mGAY7d+7E+fPn0b59ewBAdHQ00tPTMWbMGK4iEkKqEc25JkSOsCwLb29vbN68GYWFhQCAunXrYv78+fD19eU4HeGCrHU3sbOzw6RJkzBo0CC0bNkS586dg5OTE27fvg1XV1dkZ2dzHbHCefdl8XEOPiHkv6PimhA59P79eyQkJEBVVRVWVlZQUVHhOhLhiKenJ/bu3Qt7e3uZ6G4SEhKCH374AQKBAD169MD58+cBAKtWrcLly5dx9uxZjhMSQuQdFdeEECLHZK27CVByYW5WVhbs7e1F01lu3LgBDQ0NWFtbc5yOECLvqLgmhBBCqklBQQG2bNmCiIgIvHjxAkKhUOz+O3fucJSMEFJd6IJGQgghMuPDhw9YvXo1wsPDpRarfOtwMmHCBFy4cAFDhgxB27ZtaelzQuQAFdeEEEJkxqRJkxAZGYnRo0fD0NCQ98VqaGgozpw5A2dnZ66jEEJqCBXXhBBCZMbZs2cRGhoqM8WqsbGxqHUgIUQ+yEZjU0IIIQSAtrY2dHR0uI5Raf7+/pg/fz5venATQqofFdeEEEJkxrJly+Dr64v8/Hyuo1SKo6MjCgoKYGFhAXV1dejo6Ih9EUJqH5oWQgghhNdat24tNrc6KSkJBgYGMDMzk+jLzbfuGyNHjkRmZiZWrlwJAwMD3s8RJ4T8d1RcE0II4bWBAwdyHeGbXb16FdeuXYO9vT3XUQghNYSKa0IIIbzm5+fHdYRvZm1tjY8fP3IdgxBSg2jONSGEEJlhYWGB3Nxcie15eXmwsLDgIFHFVq9ejdmzZ+PSpUvIzc3F27dvxb4IIbUPrdBICCFEZigoKCA7Oxv6+vpi258/fw4TExMUFhZylEy60uXZP59rzbIsGIaBQCDgIhYhpBrRtBBCCCG89+eff4r+HRYWBk1NTdFtgUCA8PBwmJubcxGtQhEREVxHIITUMBq5JoQQwntlR4A//7OlpKQEMzMz+Pv7o3///lzEI4QQESquCSGEyAxzc3PcvHkTurq6XEeplMuXL1d4f+fOnWsoCSGkplBxTQghhFST0hH3ssrOv6Y514TUPjTnmhBCiEwJDw9HeHg4Xrx4AaFQKHbfrl27OEol3evXr8VuFxUVISYmBj4+PlixYgVHqQgh1YmKa0IIITJjyZIlWLp0KRwdHWFoaMj7FQ/LXnhZqlevXlBRUYGXlxdu377NQSpCSHWiaSGEEEJkhqGhIdauXYvRo0dzHeU/SUhIQJs2bfD+/XuuoxBCqhiNXBNCCJEZhYWF6NChA9cxKi0+Pl7sNsuyyMrKwurVq2lJdEJqKRq5JoQQIjPmz58PNTU1+Pj4cB2lUhQUFKS2D2zfvj127doFa2trjpIRQqoLjVwTQgiRGQUFBdi+fTv++usv2NnZQUlJSez+9evXc5RMutTUVLHbCgoK0NPTQ926dTlKRAipbjRyTQghRGZ069at3PsYhsHFixdrME3lyFJ3E0LIf0cj14QQQmSGrC0nLmvdTQgh/x2NXBNCCJFJGRkZYBgGxsbGXEcpV23pbkIIqTzJpaMIIYQQnhIKhVi6dCk0NTVhamqKxo0bQ0tLC8uWLZOYcsEHstbdhBDy31FxTQghRGYsWrQIAQEBWL16NWJiYnDnzh2sXLkSW7Zs4WUHkUmTJuHAgQNcxyCE1CCaFkIIIURmGBkZITAwEG5ubmLbT548CQ8PD2RmZnKUTLoZM2Zg7969sLOzk4nuJoSQ/44uaCSEECIzXr16JbU3tLW1NV69esVBoorFx8ejVatWAIB79+6J3UcXNxJSO9HINSGEEJnRrl07tGvXDps3bxbbPn36dNy8eRPR0dEcJSOEkBJUXBNCCJEZkZGRcHV1RePGjeHk5ASGYXD16lWkpaXh7Nmz6NSpE9cRCSFyjoprQgghMiUzMxPbtm1DQkICWJaFjY0NPDw8YGRkxHU0Qgih4poQQohsKSgoQHx8vNQVDz+/0JEQQmoaXdBICCFEZpw7dw5jxoxBbm4uPh8bYhgGAoGAo2SEEFKC+lwTQgiRGdOmTcPQoUPx7NkzCIVCsS8qrAkhfEDTQgghhMgMDQ0NxMTEoEmTJlxHIYQQqWjkmhBCiMwYMmQILl26xHUMQggpF41cE0IIkRn5+fkYOnQo9PT0YGtrK7HioaenJ0fJCCGkBBXXhBBCZMbOnTvh7u4OVVVVNGjQQGyVQ4ZhkJKSwmE6Qgih4poQQogMadiwITw9PeHt7Q0FBZrZSAjhH/rNRAghRGYUFhZi+PDhVFgTQniLfjsRQgiRGWPHjsXhw4e5jkEIIeWiRWQIIYTIDIFAgLVr1yIsLAx2dnYSFzSuX7+eo2SEEFKC5lwTQgiRGd26dSv3PoZhcPHixRpMQwghkqi4JoQQQgghpIrQnGtCCCGEEEKqCBXXhBBCCCGEVBEqrgkhhBBCCKkiVFwTQgghhBBSRai4JoQQQgghpIpQcU0IIYQQQkgVoeKaEEIIIYSQKkLFNSGEEEIIIVXk/wGFvUNCzet+6wAAAABJRU5ErkJggg==", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.heatmap(correlations_matrix, annot=True)\n", + "plt.show()\n", + "mask = np.zeros_like(correlations_matrix)\n", + "mask[np.triu_indices_from(mask)] = True # don't include if you think it will confuse the students right now\n", + "fig, ax = plt.subplots(figsize=(10, 8))\n", + "ax = sns.heatmap(correlations_matrix, mask=mask, annot=True)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "843c9015", + "metadata": {}, + "source": [ + "Drop one of the two features that show a high correlation between them (greater than 0.9). Write code for both the correlation matrix and for seaborn heatmap. If there is no pair of features that have a high correlation, then do not drop any features\n" + ] + }, + { + "cell_type": "markdown", + "id": "31575593", + "metadata": {}, + "source": [ + "There is no two features that show a high correlation between them (greater than 0.9)." + ] + }, + { + "cell_type": "markdown", + "id": "2db58a36", + "metadata": {}, + "source": [ + "# Lab | Customer Analysis Round 5" + ] + }, + { + "cell_type": "markdown", + "id": "c65853e0", + "metadata": {}, + "source": [ + "creating regression" + ] + }, + { + "cell_type": "code", + "execution_count": 199, + "id": "56dbfc99", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "from sklearn import linear_model\n", + "from sklearn.metrics import mean_squared_error, r2_score, mean_absolute_error\n", + "\n", + "\n", + "\n", + "# These Libs are for stats\n", + "\n", + "import statsmodels.api as sm\n", + "from statsmodels.formula.api import ols\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 200, + "id": "6cba9866", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
OLS Regression Results
Dep. Variable: total_claim_amount R-squared: 0.126
Model: OLS Adj. R-squared: 0.126
Method: Least Squares F-statistic: 1319.
Date: Sat, 13 Apr 2024 Prob (F-statistic): 7.00e-270
Time: 21:13:28 Log-Likelihood: -64148.
No. Observations: 9134 AIC: 1.283e+05
Df Residuals: 9132 BIC: 1.283e+05
Df Model: 1
Covariance Type: nonrobust
\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
coef std err t P>|t| [0.025 0.975]
const 562.0120 4.526 124.186 0.000 553.141 570.883
income -0.0034 9.35e-05 -36.318 0.000 -0.004 -0.003
\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
Omnibus: 3595.994 Durbin-Watson: 1.978
Prob(Omnibus): 0.000 Jarque-Bera (JB): 21912.715
Skew: 1.777 Prob(JB): 0.00
Kurtosis: 9.705 Cond. No. 7.71e+04


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 7.71e+04. This might indicate that there are
strong multicollinearity or other numerical problems." + ], + "text/latex": [ + "\\begin{center}\n", + "\\begin{tabular}{lclc}\n", + "\\toprule\n", + "\\textbf{Dep. Variable:} & total\\_claim\\_amount & \\textbf{ R-squared: } & 0.126 \\\\\n", + "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.126 \\\\\n", + "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 1319. \\\\\n", + "\\textbf{Date:} & Sat, 13 Apr 2024 & \\textbf{ Prob (F-statistic):} & 7.00e-270 \\\\\n", + "\\textbf{Time:} & 21:13:28 & \\textbf{ Log-Likelihood: } & -64148. \\\\\n", + "\\textbf{No. Observations:} & 9134 & \\textbf{ AIC: } & 1.283e+05 \\\\\n", + "\\textbf{Df Residuals:} & 9132 & \\textbf{ BIC: } & 1.283e+05 \\\\\n", + "\\textbf{Df Model:} & 1 & \\textbf{ } & \\\\\n", + "\\textbf{Covariance Type:} & nonrobust & \\textbf{ } & \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lcccccc}\n", + " & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]} \\\\\n", + "\\midrule\n", + "\\textbf{const} & 562.0120 & 4.526 & 124.186 & 0.000 & 553.141 & 570.883 \\\\\n", + "\\textbf{income} & -0.0034 & 9.35e-05 & -36.318 & 0.000 & -0.004 & -0.003 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lclc}\n", + "\\textbf{Omnibus:} & 3595.994 & \\textbf{ Durbin-Watson: } & 1.978 \\\\\n", + "\\textbf{Prob(Omnibus):} & 0.000 & \\textbf{ Jarque-Bera (JB): } & 21912.715 \\\\\n", + "\\textbf{Skew:} & 1.777 & \\textbf{ Prob(JB): } & 0.00 \\\\\n", + "\\textbf{Kurtosis:} & 9.705 & \\textbf{ Cond. No. } & 7.71e+04 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "%\\caption{OLS Regression Results}\n", + "\\end{center}\n", + "\n", + "Notes: \\newline\n", + " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified. \\newline\n", + " [2] The condition number is large, 7.71e+04. This might indicate that there are \\newline\n", + " strong multicollinearity or other numerical problems." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: total_claim_amount R-squared: 0.126\n", + "Model: OLS Adj. R-squared: 0.126\n", + "Method: Least Squares F-statistic: 1319.\n", + "Date: Sat, 13 Apr 2024 Prob (F-statistic): 7.00e-270\n", + "Time: 21:13:28 Log-Likelihood: -64148.\n", + "No. Observations: 9134 AIC: 1.283e+05\n", + "Df Residuals: 9132 BIC: 1.283e+05\n", + "Df Model: 1 \n", + "Covariance Type: nonrobust \n", + "==============================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "------------------------------------------------------------------------------\n", + "const 562.0120 4.526 124.186 0.000 553.141 570.883\n", + "income -0.0034 9.35e-05 -36.318 0.000 -0.004 -0.003\n", + "==============================================================================\n", + "Omnibus: 3595.994 Durbin-Watson: 1.978\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 21912.715\n", + "Skew: 1.777 Prob(JB): 0.00\n", + "Kurtosis: 9.705 Cond. No. 7.71e+04\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "[2] The condition number is large, 7.71e+04. This might indicate that there are\n", + "strong multicollinearity or other numerical problems.\n", + "\"\"\"" + ] + }, + "execution_count": 200, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# let's start by doing some analytics\n", + "\n", + "\n", + "Y = df['total_claim_amount'] # dependent variable\n", + "X = df['income'] # independent variable\n", + "\n", + "\n", + "# The linear model has the Formula Y = ........\n", + "\n", + "\n", + "# intercecpt ro davamatot\n", + "\n", + "X = sm.add_constant(X)\n", + "\n", + "\n", + "model = sm.OLS(Y,X).fit()\n", + "\n", + "model.summary()" + ] + }, + { + "cell_type": "code", + "execution_count": 201, + "id": "4d8f2f09", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "customer object\n", + "state object\n", + "customer_lifetime_value float64\n", + "response object\n", + "coverage object\n", + "education object\n", + "effective_to_date datetime64[ns]\n", + "employmentstatus object\n", + "gender object\n", + "income int64\n", + "location_code object\n", + "marital_status object\n", + "monthly_premium_auto int64\n", + "months_since_last_claim int64\n", + "months_since_policy_inception int64\n", + "number_of_open_complaints int64\n", + "number_of_policies int64\n", + "policy_type object\n", + "policy object\n", + "renew_offer_type object\n", + "sales_channel object\n", + "total_claim_amount float64\n", + "vehicle_class object\n", + "vehicle_size object\n", + "month int32\n", + "dtype: object" + ] + }, + "execution_count": 201, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 202, + "id": "a7a63e6c", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
OLS Regression Results
Dep. Variable: total_claim_amount R-squared: 0.519
Model: OLS Adj. R-squared: 0.518
Method: Least Squares F-statistic: 1229.
Date: Sat, 13 Apr 2024 Prob (F-statistic): 0.00
Time: 21:13:29 Log-Likelihood: -61425.
No. Observations: 9134 AIC: 1.229e+05
Df Residuals: 9125 BIC: 1.229e+05
Df Model: 8
Covariance Type: nonrobust
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coef std err t P>|t| [0.025 0.975]
const 72.8299 10.684 6.817 0.000 51.887 93.773
customer_lifetime_value -0.0007 0.000 -2.015 0.044 -0.001 -1.83e-05
income -0.0033 6.95e-05 -47.367 0.000 -0.003 -0.003
monthly_premium_auto 5.3426 0.067 79.922 0.000 5.212 5.474
months_since_last_claim -0.1460 0.210 -0.696 0.486 -0.557 0.265
months_since_policy_inception -0.1023 0.076 -1.351 0.177 -0.251 0.046
number_of_open_complaints -1.3727 2.319 -0.592 0.554 -5.919 3.174
number_of_policies 0.2492 0.883 0.282 0.778 -1.482 1.981
month -0.3026 4.233 -0.071 0.943 -8.599 7.994
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Omnibus: 994.290 Durbin-Watson: 1.980
Prob(Omnibus): 0.000 Jarque-Bera (JB): 6389.821
Skew: 0.316 Prob(JB): 0.00
Kurtosis: 7.049 Cond. No. 2.54e+05


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 2.54e+05. This might indicate that there are
strong multicollinearity or other numerical problems." + ], + "text/latex": [ + "\\begin{center}\n", + "\\begin{tabular}{lclc}\n", + "\\toprule\n", + "\\textbf{Dep. Variable:} & total\\_claim\\_amount & \\textbf{ R-squared: } & 0.519 \\\\\n", + "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.518 \\\\\n", + "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 1229. \\\\\n", + "\\textbf{Date:} & Sat, 13 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", + "\\textbf{Time:} & 21:13:29 & \\textbf{ Log-Likelihood: } & -61425. \\\\\n", + "\\textbf{No. Observations:} & 9134 & \\textbf{ AIC: } & 1.229e+05 \\\\\n", + "\\textbf{Df Residuals:} & 9125 & \\textbf{ BIC: } & 1.229e+05 \\\\\n", + "\\textbf{Df Model:} & 8 & \\textbf{ } & \\\\\n", + "\\textbf{Covariance Type:} & nonrobust & \\textbf{ } & \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lcccccc}\n", + " & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]} \\\\\n", + "\\midrule\n", + "\\textbf{const} & 72.8299 & 10.684 & 6.817 & 0.000 & 51.887 & 93.773 \\\\\n", + "\\textbf{customer\\_lifetime\\_value} & -0.0007 & 0.000 & -2.015 & 0.044 & -0.001 & -1.83e-05 \\\\\n", + "\\textbf{income} & -0.0033 & 6.95e-05 & -47.367 & 0.000 & -0.003 & -0.003 \\\\\n", + "\\textbf{monthly\\_premium\\_auto} & 5.3426 & 0.067 & 79.922 & 0.000 & 5.212 & 5.474 \\\\\n", + "\\textbf{months\\_since\\_last\\_claim} & -0.1460 & 0.210 & -0.696 & 0.486 & -0.557 & 0.265 \\\\\n", + "\\textbf{months\\_since\\_policy\\_inception} & -0.1023 & 0.076 & -1.351 & 0.177 & -0.251 & 0.046 \\\\\n", + "\\textbf{number\\_of\\_open\\_complaints} & -1.3727 & 2.319 & -0.592 & 0.554 & -5.919 & 3.174 \\\\\n", + "\\textbf{number\\_of\\_policies} & 0.2492 & 0.883 & 0.282 & 0.778 & -1.482 & 1.981 \\\\\n", + "\\textbf{month} & -0.3026 & 4.233 & -0.071 & 0.943 & -8.599 & 7.994 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lclc}\n", + "\\textbf{Omnibus:} & 994.290 & \\textbf{ Durbin-Watson: } & 1.980 \\\\\n", + "\\textbf{Prob(Omnibus):} & 0.000 & \\textbf{ Jarque-Bera (JB): } & 6389.821 \\\\\n", + "\\textbf{Skew:} & 0.316 & \\textbf{ Prob(JB): } & 0.00 \\\\\n", + "\\textbf{Kurtosis:} & 7.049 & \\textbf{ Cond. No. } & 2.54e+05 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "%\\caption{OLS Regression Results}\n", + "\\end{center}\n", + "\n", + "Notes: \\newline\n", + " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified. \\newline\n", + " [2] The condition number is large, 2.54e+05. This might indicate that there are \\newline\n", + " strong multicollinearity or other numerical problems." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: total_claim_amount R-squared: 0.519\n", + "Model: OLS Adj. R-squared: 0.518\n", + "Method: Least Squares F-statistic: 1229.\n", + "Date: Sat, 13 Apr 2024 Prob (F-statistic): 0.00\n", + "Time: 21:13:29 Log-Likelihood: -61425.\n", + "No. Observations: 9134 AIC: 1.229e+05\n", + "Df Residuals: 9125 BIC: 1.229e+05\n", + "Df Model: 8 \n", + "Covariance Type: nonrobust \n", + "=================================================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "-------------------------------------------------------------------------------------------------\n", + "const 72.8299 10.684 6.817 0.000 51.887 93.773\n", + "customer_lifetime_value -0.0007 0.000 -2.015 0.044 -0.001 -1.83e-05\n", + "income -0.0033 6.95e-05 -47.367 0.000 -0.003 -0.003\n", + "monthly_premium_auto 5.3426 0.067 79.922 0.000 5.212 5.474\n", + "months_since_last_claim -0.1460 0.210 -0.696 0.486 -0.557 0.265\n", + "months_since_policy_inception -0.1023 0.076 -1.351 0.177 -0.251 0.046\n", + "number_of_open_complaints -1.3727 2.319 -0.592 0.554 -5.919 3.174\n", + "number_of_policies 0.2492 0.883 0.282 0.778 -1.482 1.981\n", + "month -0.3026 4.233 -0.071 0.943 -8.599 7.994\n", + "==============================================================================\n", + "Omnibus: 994.290 Durbin-Watson: 1.980\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 6389.821\n", + "Skew: 0.316 Prob(JB): 0.00\n", + "Kurtosis: 7.049 Cond. No. 2.54e+05\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "[2] The condition number is large, 2.54e+05. This might indicate that there are\n", + "strong multicollinearity or other numerical problems.\n", + "\"\"\"" + ] + }, + "execution_count": 202, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# big regression\n", + "\n", + "\n", + "Y = df['total_claim_amount']\n", + "X = numerical.drop(['total_claim_amount'], axis = 1)\n", + "\n", + "X = sm.add_constant(X)\n", + "\n", + "\n", + "model = sm.OLS(Y,X).fit()\n", + "\n", + "model.summary()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/[lab-customer-analysis-round-5]Anna Javashvili.ipynb b/[lab-customer-analysis-round-5]Anna Javashvili.ipynb new file mode 100644 index 0000000..d459da3 --- /dev/null +++ b/[lab-customer-analysis-round-5]Anna Javashvili.ipynb @@ -0,0 +1,6651 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 129, + "id": "2d3d2dc7", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np \n", + "\n", + "\n", + "\n", + "# this is not to show warnings\n", + "\n", + "import warnings\n", + "warnings.filterwarnings('ignore')\n", + "\n", + "\n", + "# this it the most common viz library in python\n", + "\n", + "import matplotlib.pyplot as plt\n", + "\n", + "\n", + "\n", + "# this one is the above on steroids\n", + "\n", + "\n", + "import seaborn as sns\n", + "\n", + "\n", + "df = pd.read_csv(r'C:\\Users\\User\\Desktop\\iRonhack\\Classes at Iron\\Week 3\\Day 3\\Lab week 3 day 3 - round 7\\lab-customer-analysis-round-7\\files_for_lab\\csv_files\\marketing_customer_analysis.csv')\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "f2238180", + "metadata": {}, + "source": [ + "# Show the dataframe shape." + ] + }, + { + "cell_type": "code", + "execution_count": 130, + "id": "11ff79a0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(9134, 24)" + ] + }, + "execution_count": 130, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.shape" + ] + }, + { + "cell_type": "markdown", + "id": "9ebff9b1", + "metadata": {}, + "source": [ + "# Standardize header names." + ] + }, + { + "cell_type": "code", + "execution_count": 131, + "id": "5f3e63cf", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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CustomerStateCustomer Lifetime ValueResponseCoverageEducationEffective To DateEmploymentStatusGenderIncome...Months Since Policy InceptionNumber of Open ComplaintsNumber of PoliciesPolicy TypePolicyRenew Offer TypeSales ChannelTotal Claim AmountVehicle ClassVehicle Size
0BU79786Washington2763.519279NoBasicBachelor2/24/11EmployedF56274...501Corporate AutoCorporate L3Offer1Agent384.811147Two-Door CarMedsize
1QZ44356Arizona6979.535903NoExtendedBachelor1/31/11UnemployedF0...4208Personal AutoPersonal L3Offer3Agent1131.464935Four-Door CarMedsize
2AI49188Nevada12887.431650NoPremiumBachelor2/19/11EmployedF48767...3802Personal AutoPersonal L3Offer1Agent566.472247Two-Door CarMedsize
3WW63253California7645.861827NoBasicBachelor1/20/11UnemployedM0...6507Corporate AutoCorporate L2Offer1Call Center529.881344SUVMedsize
4HB64268Washington2813.692575NoBasicBachelor2/3/11EmployedM43836...4401Personal AutoPersonal L1Offer1Agent138.130879Four-Door CarMedsize
..................................................................
9129LA72316California23405.987980NoBasicBachelor2/10/11EmployedM71941...8902Personal AutoPersonal L1Offer2Web198.234764Four-Door CarMedsize
9130PK87824California3096.511217YesExtendedCollege2/12/11EmployedF21604...2801Corporate AutoCorporate L3Offer1Branch379.200000Four-Door CarMedsize
9131TD14365California8163.890428NoExtendedBachelor2/6/11UnemployedM0...3732Corporate AutoCorporate L2Offer1Branch790.784983Four-Door CarMedsize
9132UP19263California7524.442436NoExtendedCollege2/3/11EmployedM21941...303Personal AutoPersonal L2Offer3Branch691.200000Four-Door CarLarge
9133Y167826California2611.836866NoExtendedCollege2/14/11UnemployedM0...9001Corporate AutoCorporate L3Offer4Call Center369.600000Two-Door CarMedsize
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9134 rows × 24 columns

\n", + "
" + ], + "text/plain": [ + " Customer State Customer Lifetime Value Response Coverage \\\n", + "0 BU79786 Washington 2763.519279 No Basic \n", + "1 QZ44356 Arizona 6979.535903 No Extended \n", + "2 AI49188 Nevada 12887.431650 No Premium \n", + "3 WW63253 California 7645.861827 No Basic \n", + "4 HB64268 Washington 2813.692575 No Basic \n", + "... ... ... ... ... ... \n", + "9129 LA72316 California 23405.987980 No Basic \n", + "9130 PK87824 California 3096.511217 Yes Extended \n", + "9131 TD14365 California 8163.890428 No Extended \n", + "9132 UP19263 California 7524.442436 No Extended \n", + "9133 Y167826 California 2611.836866 No Extended \n", + "\n", + " Education Effective To Date EmploymentStatus Gender Income ... \\\n", + "0 Bachelor 2/24/11 Employed F 56274 ... \n", + "1 Bachelor 1/31/11 Unemployed F 0 ... \n", + "2 Bachelor 2/19/11 Employed F 48767 ... \n", + "3 Bachelor 1/20/11 Unemployed M 0 ... \n", + "4 Bachelor 2/3/11 Employed M 43836 ... \n", + "... ... ... ... ... ... ... \n", + "9129 Bachelor 2/10/11 Employed M 71941 ... \n", + "9130 College 2/12/11 Employed F 21604 ... \n", + "9131 Bachelor 2/6/11 Unemployed M 0 ... \n", + "9132 College 2/3/11 Employed M 21941 ... \n", + "9133 College 2/14/11 Unemployed M 0 ... \n", + "\n", + " Months Since Policy Inception Number of Open Complaints \\\n", + "0 5 0 \n", + "1 42 0 \n", + "2 38 0 \n", + "3 65 0 \n", + "4 44 0 \n", + "... ... ... \n", + "9129 89 0 \n", + "9130 28 0 \n", + "9131 37 3 \n", + "9132 3 0 \n", + "9133 90 0 \n", + "\n", + " Number of Policies Policy Type Policy Renew Offer Type \\\n", + "0 1 Corporate Auto Corporate L3 Offer1 \n", + "1 8 Personal Auto Personal L3 Offer3 \n", + "2 2 Personal Auto Personal L3 Offer1 \n", + "3 7 Corporate Auto Corporate L2 Offer1 \n", + "4 1 Personal Auto Personal L1 Offer1 \n", + "... ... ... ... ... \n", + "9129 2 Personal Auto Personal L1 Offer2 \n", + "9130 1 Corporate Auto Corporate L3 Offer1 \n", + "9131 2 Corporate Auto Corporate L2 Offer1 \n", + "9132 3 Personal Auto Personal L2 Offer3 \n", + "9133 1 Corporate Auto Corporate L3 Offer4 \n", + "\n", + " Sales Channel Total Claim Amount Vehicle Class Vehicle Size \n", + "0 Agent 384.811147 Two-Door Car Medsize \n", + "1 Agent 1131.464935 Four-Door Car Medsize \n", + "2 Agent 566.472247 Two-Door Car Medsize \n", + "3 Call Center 529.881344 SUV Medsize \n", + "4 Agent 138.130879 Four-Door Car Medsize \n", + "... ... ... ... ... \n", + "9129 Web 198.234764 Four-Door Car Medsize \n", + "9130 Branch 379.200000 Four-Door Car Medsize \n", + "9131 Branch 790.784983 Four-Door Car Medsize \n", + "9132 Branch 691.200000 Four-Door Car Large \n", + "9133 Call Center 369.600000 Two-Door Car Medsize \n", + "\n", + "[9134 rows x 24 columns]" + ] + }, + "execution_count": 131, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 132, + "id": "5111f911", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['customer', 'state', 'customer_lifetime_value', 'response', 'coverage',\n", + " 'education', 'effective_to_date', 'employmentstatus', 'gender',\n", + " 'income', 'location_code', 'marital_status', 'monthly_premium_auto',\n", + " 'months_since_last_claim', 'months_since_policy_inception',\n", + " 'number_of_open_complaints', 'number_of_policies', 'policy_type',\n", + " 'policy', 'renew_offer_type', 'sales_channel', 'total_claim_amount',\n", + " 'vehicle_class', 'vehicle_size'],\n", + " dtype='object')" + ] + }, + "execution_count": 132, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cols = []\n", + "\n", + "for i in range(len(df.columns)):\n", + " cols.append(df.columns[i].lower().replace(' ', '_'))\n", + "cols\n", + "\n", + "df.columns = cols\n", + "df.columns" + ] + }, + { + "cell_type": "markdown", + "id": "e8255c20", + "metadata": {}, + "source": [ + "# Which columns are numerical?" + ] + }, + { + "cell_type": "code", + "execution_count": 133, + "id": "abe0ceba", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "customer object\n", + "state object\n", + "customer_lifetime_value float64\n", + "response object\n", + "coverage object\n", + "education object\n", + "effective_to_date object\n", + "employmentstatus object\n", + "gender object\n", + "income int64\n", + "location_code object\n", + "marital_status object\n", + "monthly_premium_auto int64\n", + "months_since_last_claim int64\n", + "months_since_policy_inception int64\n", + "number_of_open_complaints int64\n", + "number_of_policies int64\n", + "policy_type object\n", + "policy object\n", + "renew_offer_type object\n", + "sales_channel object\n", + "total_claim_amount float64\n", + "vehicle_class object\n", + "vehicle_size object\n", + "dtype: object" + ] + }, + "execution_count": 133, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.dtypes\n", + "\n", + "#numerical - floats and int" + ] + }, + { + "cell_type": "code", + "execution_count": 134, + "id": "bcf0b843", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "customer object\n", + "state object\n", + "customer_lifetime_value float64\n", + "response object\n", + "coverage object\n", + "education object\n", + "effective_to_date object\n", + "employmentstatus object\n", + "gender object\n", + "income int64\n", + "location_code object\n", + "marital_status object\n", + "monthly_premium_auto int64\n", + "months_since_last_claim int64\n", + "months_since_policy_inception int64\n", + "number_of_open_complaints int64\n", + "number_of_policies int64\n", + "policy_type object\n", + "policy object\n", + "renew_offer_type object\n", + "sales_channel object\n", + "total_claim_amount float64\n", + "vehicle_class object\n", + "vehicle_size object\n", + "dtype: object" + ] + }, + "execution_count": 134, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.dtypes\n", + "\n", + "#categorical objects" + ] + }, + { + "cell_type": "markdown", + "id": "8b01a9b1", + "metadata": {}, + "source": [ + "# Check and deal with NaN values.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 135, + "id": "6fb93c76", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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customerstatecustomer_lifetime_valueresponsecoverageeducationeffective_to_dateemploymentstatusgenderincome...months_since_policy_inceptionnumber_of_open_complaintsnumber_of_policiespolicy_typepolicyrenew_offer_typesales_channeltotal_claim_amountvehicle_classvehicle_size
0FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse...FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse
1FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse...FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse
2FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse...FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse
3FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse...FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse
4FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse...FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse
..................................................................
9129FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse...FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse
9130FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse...FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse
9131FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse...FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse
9132FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse...FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse
9133FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse...FalseFalseFalseFalseFalseFalseFalseFalseFalseFalse
\n", + "

9134 rows × 24 columns

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" + ], + "text/plain": [ + " customer state customer_lifetime_value response coverage education \\\n", + "0 False False False False False False \n", + "1 False False False False False False \n", + "2 False False False False False False \n", + "3 False False False False False False \n", + "4 False False False False False False \n", + "... ... ... ... ... ... ... \n", + "9129 False False False False False False \n", + "9130 False False False False False False \n", + "9131 False False False False False False \n", + "9132 False False False False False False \n", + "9133 False False False False False False \n", + "\n", + " effective_to_date employmentstatus gender income ... \\\n", + "0 False False False False ... \n", + "1 False False False False ... \n", + "2 False False False False ... \n", + "3 False False False False ... \n", + "4 False False False False ... \n", + "... ... ... ... ... ... \n", + "9129 False False False False ... \n", + "9130 False False False False ... \n", + "9131 False False False False ... \n", + "9132 False False False False ... \n", + "9133 False False False False ... \n", + "\n", + " months_since_policy_inception number_of_open_complaints \\\n", + "0 False False \n", + "1 False False \n", + "2 False False \n", + "3 False False \n", + "4 False False \n", + "... ... ... \n", + "9129 False False \n", + "9130 False False \n", + "9131 False False \n", + "9132 False False \n", + "9133 False False \n", + "\n", + " number_of_policies policy_type policy renew_offer_type \\\n", + "0 False False False False \n", + "1 False False False False \n", + "2 False False False False \n", + "3 False False False False \n", + "4 False False False False \n", + "... ... ... ... ... \n", + "9129 False False False False \n", + "9130 False False False False \n", + "9131 False False False False \n", + "9132 False False False False \n", + "9133 False False False False \n", + "\n", + " sales_channel total_claim_amount vehicle_class vehicle_size \n", + "0 False False False False \n", + "1 False False False False \n", + "2 False False False False \n", + "3 False False False False \n", + "4 False False False False \n", + "... ... ... ... ... \n", + "9129 False False False False \n", + "9130 False False False False \n", + "9131 False False False False \n", + "9132 False False False False \n", + "9133 False False False False \n", + "\n", + "[9134 rows x 24 columns]" + ] + }, + "execution_count": 135, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.isna()" + ] + }, + { + "cell_type": "code", + "execution_count": 136, + "id": "0c022a04", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "customer 0\n", + "state 0\n", + "customer_lifetime_value 0\n", + "response 0\n", + "coverage 0\n", + "education 0\n", + "effective_to_date 0\n", + "employmentstatus 0\n", + "gender 0\n", + "income 0\n", + "location_code 0\n", + "marital_status 0\n", + "monthly_premium_auto 0\n", + "months_since_last_claim 0\n", + "months_since_policy_inception 0\n", + "number_of_open_complaints 0\n", + "number_of_policies 0\n", + "policy_type 0\n", + "policy 0\n", + "renew_offer_type 0\n", + "sales_channel 0\n", + "total_claim_amount 0\n", + "vehicle_class 0\n", + "vehicle_size 0\n", + "dtype: int64" + ] + }, + "execution_count": 136, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.isna().sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 137, + "id": "587394ca", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "customer 0.0\n", + "state 0.0\n", + "customer_lifetime_value 0.0\n", + "response 0.0\n", + "coverage 0.0\n", + "education 0.0\n", + "effective_to_date 0.0\n", + "employmentstatus 0.0\n", + "gender 0.0\n", + "income 0.0\n", + "location_code 0.0\n", + "marital_status 0.0\n", + "monthly_premium_auto 0.0\n", + "months_since_last_claim 0.0\n", + "months_since_policy_inception 0.0\n", + "number_of_open_complaints 0.0\n", + "number_of_policies 0.0\n", + "policy_type 0.0\n", + "policy 0.0\n", + "renew_offer_type 0.0\n", + "sales_channel 0.0\n", + "total_claim_amount 0.0\n", + "vehicle_class 0.0\n", + "vehicle_size 0.0\n", + "dtype: float64" + ] + }, + "execution_count": 137, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#percentage of missed data\n", + "\n", + "df.isna().sum() / len(df) * 100" + ] + }, + { + "cell_type": "code", + "execution_count": 138, + "id": "a0527e35", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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customer_lifetime_valueincomemonthly_premium_automonths_since_last_claimmonths_since_policy_inceptionnumber_of_open_complaintsnumber_of_policiestotal_claim_amount
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mean8004.94047537657.38000993.21929115.09700048.0645940.3843882.966170434.088794
std6870.96760830379.90473434.40796710.07325727.9059910.9103842.390182290.500092
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50%5780.18219733889.50000083.00000014.00000048.0000000.0000002.000000383.945434
75%8962.16704162320.000000109.00000023.00000071.0000000.0000004.000000547.514839
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" + ], + "text/plain": [ + " customer_lifetime_value income monthly_premium_auto \\\n", + "count 9134.000000 9134.000000 9134.000000 \n", + "mean 8004.940475 37657.380009 93.219291 \n", + "std 6870.967608 30379.904734 34.407967 \n", + "min 1898.007675 0.000000 61.000000 \n", + "25% 3994.251794 0.000000 68.000000 \n", + "50% 5780.182197 33889.500000 83.000000 \n", + "75% 8962.167041 62320.000000 109.000000 \n", + "max 83325.381190 99981.000000 298.000000 \n", + "\n", + " months_since_last_claim months_since_policy_inception \\\n", + "count 9134.000000 9134.000000 \n", + "mean 15.097000 48.064594 \n", + "std 10.073257 27.905991 \n", + "min 0.000000 0.000000 \n", + "25% 6.000000 24.000000 \n", + "50% 14.000000 48.000000 \n", + "75% 23.000000 71.000000 \n", + "max 35.000000 99.000000 \n", + "\n", + " number_of_open_complaints number_of_policies total_claim_amount \n", + "count 9134.000000 9134.000000 9134.000000 \n", + "mean 0.384388 2.966170 434.088794 \n", + "std 0.910384 2.390182 290.500092 \n", + "min 0.000000 1.000000 0.099007 \n", + "25% 0.000000 1.000000 272.258244 \n", + "50% 0.000000 2.000000 383.945434 \n", + "75% 0.000000 4.000000 547.514839 \n", + "max 5.000000 9.000000 2893.239678 " + ] + }, + "execution_count": 138, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 139, + "id": "b1c1f70c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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customerstatecustomer_lifetime_valueresponsecoverageeducationeffective_to_dateemploymentstatusgenderincome...months_since_policy_inceptionnumber_of_open_complaintsnumber_of_policiespolicy_typepolicyrenew_offer_typesales_channeltotal_claim_amountvehicle_classvehicle_size
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0 rows × 24 columns

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" + ], + "text/plain": [ + "Empty DataFrame\n", + "Columns: [customer, state, customer_lifetime_value, response, coverage, education, effective_to_date, employmentstatus, gender, income, location_code, marital_status, monthly_premium_auto, months_since_last_claim, months_since_policy_inception, number_of_open_complaints, number_of_policies, policy_type, policy, renew_offer_type, sales_channel, total_claim_amount, vehicle_class, vehicle_size]\n", + "Index: []\n", + "\n", + "[0 rows x 24 columns]" + ] + }, + "execution_count": 139, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# to see them\n", + "\n", + "null_data = df.isna().any(axis = 1)\n", + "df[null_data]" + ] + }, + { + "cell_type": "code", + "execution_count": 140, + "id": "9330668c", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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customerstatecustomer_lifetime_valueresponsecoverageeducationeffective_to_dateemploymentstatusgenderincome...months_since_policy_inceptionnumber_of_open_complaintsnumber_of_policiespolicy_typepolicyrenew_offer_typesales_channeltotal_claim_amountvehicle_classvehicle_size
0BU79786Washington2763.519279NoBasicBachelor2/24/11EmployedF56274...501Corporate AutoCorporate L3Offer1Agent384.811147Two-Door CarMedsize
1QZ44356Arizona6979.535903NoExtendedBachelor1/31/11UnemployedF0...4208Personal AutoPersonal L3Offer3Agent1131.464935Four-Door CarMedsize
2AI49188Nevada12887.431650NoPremiumBachelor2/19/11EmployedF48767...3802Personal AutoPersonal L3Offer1Agent566.472247Two-Door CarMedsize
3WW63253California7645.861827NoBasicBachelor1/20/11UnemployedM0...6507Corporate AutoCorporate L2Offer1Call Center529.881344SUVMedsize
4HB64268Washington2813.692575NoBasicBachelor2/3/11EmployedM43836...4401Personal AutoPersonal L1Offer1Agent138.130879Four-Door CarMedsize
..................................................................
9129LA72316California23405.987980NoBasicBachelor2/10/11EmployedM71941...8902Personal AutoPersonal L1Offer2Web198.234764Four-Door CarMedsize
9130PK87824California3096.511217YesExtendedCollege2/12/11EmployedF21604...2801Corporate AutoCorporate L3Offer1Branch379.200000Four-Door CarMedsize
9131TD14365California8163.890428NoExtendedBachelor2/6/11UnemployedM0...3732Corporate AutoCorporate L2Offer1Branch790.784983Four-Door CarMedsize
9132UP19263California7524.442436NoExtendedCollege2/3/11EmployedM21941...303Personal AutoPersonal L2Offer3Branch691.200000Four-Door CarLarge
9133Y167826California2611.836866NoExtendedCollege2/14/11UnemployedM0...9001Corporate AutoCorporate L3Offer4Call Center369.600000Two-Door CarMedsize
\n", + "

9134 rows × 24 columns

\n", + "
" + ], + "text/plain": [ + " customer state customer_lifetime_value response coverage \\\n", + "0 BU79786 Washington 2763.519279 No Basic \n", + "1 QZ44356 Arizona 6979.535903 No Extended \n", + "2 AI49188 Nevada 12887.431650 No Premium \n", + "3 WW63253 California 7645.861827 No Basic \n", + "4 HB64268 Washington 2813.692575 No Basic \n", + "... ... ... ... ... ... \n", + "9129 LA72316 California 23405.987980 No Basic \n", + "9130 PK87824 California 3096.511217 Yes Extended \n", + "9131 TD14365 California 8163.890428 No Extended \n", + "9132 UP19263 California 7524.442436 No Extended \n", + "9133 Y167826 California 2611.836866 No Extended \n", + "\n", + " education effective_to_date employmentstatus gender income ... \\\n", + "0 Bachelor 2/24/11 Employed F 56274 ... \n", + "1 Bachelor 1/31/11 Unemployed F 0 ... \n", + "2 Bachelor 2/19/11 Employed F 48767 ... \n", + "3 Bachelor 1/20/11 Unemployed M 0 ... \n", + "4 Bachelor 2/3/11 Employed M 43836 ... \n", + "... ... ... ... ... ... ... \n", + "9129 Bachelor 2/10/11 Employed M 71941 ... \n", + "9130 College 2/12/11 Employed F 21604 ... \n", + "9131 Bachelor 2/6/11 Unemployed M 0 ... \n", + "9132 College 2/3/11 Employed M 21941 ... \n", + "9133 College 2/14/11 Unemployed M 0 ... \n", + "\n", + " months_since_policy_inception number_of_open_complaints \\\n", + "0 5 0 \n", + "1 42 0 \n", + "2 38 0 \n", + "3 65 0 \n", + "4 44 0 \n", + "... ... ... \n", + "9129 89 0 \n", + "9130 28 0 \n", + "9131 37 3 \n", + "9132 3 0 \n", + "9133 90 0 \n", + "\n", + " number_of_policies policy_type policy renew_offer_type \\\n", + "0 1 Corporate Auto Corporate L3 Offer1 \n", + "1 8 Personal Auto Personal L3 Offer3 \n", + "2 2 Personal Auto Personal L3 Offer1 \n", + "3 7 Corporate Auto Corporate L2 Offer1 \n", + "4 1 Personal Auto Personal L1 Offer1 \n", + "... ... ... ... ... \n", + "9129 2 Personal Auto Personal L1 Offer2 \n", + "9130 1 Corporate Auto Corporate L3 Offer1 \n", + "9131 2 Corporate Auto Corporate L2 Offer1 \n", + "9132 3 Personal Auto Personal L2 Offer3 \n", + "9133 1 Corporate Auto Corporate L3 Offer4 \n", + "\n", + " sales_channel total_claim_amount vehicle_class vehicle_size \n", + "0 Agent 384.811147 Two-Door Car Medsize \n", + "1 Agent 1131.464935 Four-Door Car Medsize \n", + "2 Agent 566.472247 Two-Door Car Medsize \n", + "3 Call Center 529.881344 SUV Medsize \n", + "4 Agent 138.130879 Four-Door Car Medsize \n", + "... ... ... ... ... \n", + "9129 Web 198.234764 Four-Door Car Medsize \n", + "9130 Branch 379.200000 Four-Door Car Medsize \n", + "9131 Branch 790.784983 Four-Door Car Medsize \n", + "9132 Branch 691.200000 Four-Door Car Large \n", + "9133 Call Center 369.600000 Two-Door Car Medsize \n", + "\n", + "[9134 rows x 24 columns]" + ] + }, + "execution_count": 140, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# to drop them\n", + "\n", + "\n", + "df.dropna()" + ] + }, + { + "cell_type": "code", + "execution_count": 141, + "id": "a712ecac", + "metadata": {}, + "outputs": [], + "source": [ + "df_without_nan = df.dropna()" + ] + }, + { + "cell_type": "code", + "execution_count": 142, + "id": "39a4f1f3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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customerstatecustomer_lifetime_valueresponsecoverageeducationeffective_to_dateemploymentstatusgenderincome...months_since_policy_inceptionnumber_of_open_complaintsnumber_of_policiespolicy_typepolicyrenew_offer_typesales_channeltotal_claim_amountvehicle_classvehicle_size
0BU79786Washington2763.519279NoBasicBachelor2/24/11EmployedF56274...501Corporate AutoCorporate L3Offer1Agent384.811147Two-Door CarMedsize
1QZ44356Arizona6979.535903NoExtendedBachelor1/31/11UnemployedF0...4208Personal AutoPersonal L3Offer3Agent1131.464935Four-Door CarMedsize
2AI49188Nevada12887.431650NoPremiumBachelor2/19/11EmployedF48767...3802Personal AutoPersonal L3Offer1Agent566.472247Two-Door CarMedsize
3WW63253California7645.861827NoBasicBachelor1/20/11UnemployedM0...6507Corporate AutoCorporate L2Offer1Call Center529.881344SUVMedsize
4HB64268Washington2813.692575NoBasicBachelor2/3/11EmployedM43836...4401Personal AutoPersonal L1Offer1Agent138.130879Four-Door CarMedsize
..................................................................
9129LA72316California23405.987980NoBasicBachelor2/10/11EmployedM71941...8902Personal AutoPersonal L1Offer2Web198.234764Four-Door CarMedsize
9130PK87824California3096.511217YesExtendedCollege2/12/11EmployedF21604...2801Corporate AutoCorporate L3Offer1Branch379.200000Four-Door CarMedsize
9131TD14365California8163.890428NoExtendedBachelor2/6/11UnemployedM0...3732Corporate AutoCorporate L2Offer1Branch790.784983Four-Door CarMedsize
9132UP19263California7524.442436NoExtendedCollege2/3/11EmployedM21941...303Personal AutoPersonal L2Offer3Branch691.200000Four-Door CarLarge
9133Y167826California2611.836866NoExtendedCollege2/14/11UnemployedM0...9001Corporate AutoCorporate L3Offer4Call Center369.600000Two-Door CarMedsize
\n", + "

9134 rows × 24 columns

\n", + "
" + ], + "text/plain": [ + " customer state customer_lifetime_value response coverage \\\n", + "0 BU79786 Washington 2763.519279 No Basic \n", + "1 QZ44356 Arizona 6979.535903 No Extended \n", + "2 AI49188 Nevada 12887.431650 No Premium \n", + "3 WW63253 California 7645.861827 No Basic \n", + "4 HB64268 Washington 2813.692575 No Basic \n", + "... ... ... ... ... ... \n", + "9129 LA72316 California 23405.987980 No Basic \n", + "9130 PK87824 California 3096.511217 Yes Extended \n", + "9131 TD14365 California 8163.890428 No Extended \n", + "9132 UP19263 California 7524.442436 No Extended \n", + "9133 Y167826 California 2611.836866 No Extended \n", + "\n", + " education effective_to_date employmentstatus gender income ... \\\n", + "0 Bachelor 2/24/11 Employed F 56274 ... \n", + "1 Bachelor 1/31/11 Unemployed F 0 ... \n", + "2 Bachelor 2/19/11 Employed F 48767 ... \n", + "3 Bachelor 1/20/11 Unemployed M 0 ... \n", + "4 Bachelor 2/3/11 Employed M 43836 ... \n", + "... ... ... ... ... ... ... \n", + "9129 Bachelor 2/10/11 Employed M 71941 ... \n", + "9130 College 2/12/11 Employed F 21604 ... \n", + "9131 Bachelor 2/6/11 Unemployed M 0 ... \n", + "9132 College 2/3/11 Employed M 21941 ... \n", + "9133 College 2/14/11 Unemployed M 0 ... \n", + "\n", + " months_since_policy_inception number_of_open_complaints \\\n", + "0 5 0 \n", + "1 42 0 \n", + "2 38 0 \n", + "3 65 0 \n", + "4 44 0 \n", + "... ... ... \n", + "9129 89 0 \n", + "9130 28 0 \n", + "9131 37 3 \n", + "9132 3 0 \n", + "9133 90 0 \n", + "\n", + " number_of_policies policy_type policy renew_offer_type \\\n", + "0 1 Corporate Auto Corporate L3 Offer1 \n", + "1 8 Personal Auto Personal L3 Offer3 \n", + "2 2 Personal Auto Personal L3 Offer1 \n", + "3 7 Corporate Auto Corporate L2 Offer1 \n", + "4 1 Personal Auto Personal L1 Offer1 \n", + "... ... ... ... ... \n", + "9129 2 Personal Auto Personal L1 Offer2 \n", + "9130 1 Corporate Auto Corporate L3 Offer1 \n", + "9131 2 Corporate Auto Corporate L2 Offer1 \n", + "9132 3 Personal Auto Personal L2 Offer3 \n", + "9133 1 Corporate Auto Corporate L3 Offer4 \n", + "\n", + " sales_channel total_claim_amount vehicle_class vehicle_size \n", + "0 Agent 384.811147 Two-Door Car Medsize \n", + "1 Agent 1131.464935 Four-Door Car Medsize \n", + "2 Agent 566.472247 Two-Door Car Medsize \n", + "3 Call Center 529.881344 SUV Medsize \n", + "4 Agent 138.130879 Four-Door Car Medsize \n", + "... ... ... ... ... \n", + "9129 Web 198.234764 Four-Door Car Medsize \n", + "9130 Branch 379.200000 Four-Door Car Medsize \n", + "9131 Branch 790.784983 Four-Door Car Medsize \n", + "9132 Branch 691.200000 Four-Door Car Large \n", + "9133 Call Center 369.600000 Two-Door Car Medsize \n", + "\n", + "[9134 rows x 24 columns]" + ] + }, + "execution_count": 142, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_without_nan" + ] + }, + { + "cell_type": "markdown", + "id": "d404b98a", + "metadata": {}, + "source": [ + "# Datetime" + ] + }, + { + "cell_type": "code", + "execution_count": 143, + "id": "75f7ab21", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'\\n\\nDatetime format - Extract the months from the dataset and store in a separate column. \\nThen filter the data to show only the information for the first quarter , ie. January, February and March. \\nHint: If data from March does not exist, consider only January and February.\\n\\n'" + ] + }, + "execution_count": 143, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "'''\n", + "\n", + "Datetime format - Extract the months from the dataset and store in a separate column. \n", + "Then filter the data to show only the information for the first quarter , ie. January, February and March. \n", + "Hint: If data from March does not exist, consider only January and February.\n", + "\n", + "'''" + ] + }, + { + "cell_type": "code", + "execution_count": 144, + "id": "b6f97664", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "customer object\n", + "state object\n", + "customer_lifetime_value float64\n", + "response object\n", + "coverage object\n", + "education object\n", + "effective_to_date object\n", + "employmentstatus object\n", + "gender object\n", + "income int64\n", + "location_code object\n", + "marital_status object\n", + "monthly_premium_auto int64\n", + "months_since_last_claim int64\n", + "months_since_policy_inception int64\n", + "number_of_open_complaints int64\n", + "number_of_policies int64\n", + "policy_type object\n", + "policy object\n", + "renew_offer_type object\n", + "sales_channel object\n", + "total_claim_amount float64\n", + "vehicle_class object\n", + "vehicle_size object\n", + "dtype: object" + ] + }, + "execution_count": 144, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\n", + "\n", + "df.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 145, + "id": "02232c0d", + "metadata": {}, + "outputs": [], + "source": [ + "df['effective_to_date'] = pd.to_datetime(df['effective_to_date'])" + ] + }, + { + "cell_type": "code", + "execution_count": 146, + "id": "fa1562b0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "customer object\n", + "state object\n", + "customer_lifetime_value float64\n", + "response object\n", + "coverage object\n", + "education object\n", + "effective_to_date datetime64[ns]\n", + "employmentstatus object\n", + "gender object\n", + "income int64\n", + "location_code object\n", + "marital_status object\n", + "monthly_premium_auto int64\n", + "months_since_last_claim int64\n", + "months_since_policy_inception int64\n", + "number_of_open_complaints int64\n", + "number_of_policies int64\n", + "policy_type object\n", + "policy object\n", + "renew_offer_type object\n", + "sales_channel object\n", + "total_claim_amount float64\n", + "vehicle_class object\n", + "vehicle_size object\n", + "dtype: object" + ] + }, + "execution_count": 146, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 147, + "id": "e7f5ca32", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2011" + ] + }, + "execution_count": 147, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['effective_to_date'][0].year" + ] + }, + { + "cell_type": "code", + "execution_count": 148, + "id": "f9148d87", + "metadata": {}, + "outputs": [], + "source": [ + "df['month'] = df['effective_to_date'].dt.month\n" + ] + }, + { + "cell_type": "code", + "execution_count": 149, + "id": "050acd85", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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customerstatecustomer_lifetime_valueresponsecoverageeducationeffective_to_dateemploymentstatusgenderincome...number_of_open_complaintsnumber_of_policiespolicy_typepolicyrenew_offer_typesales_channeltotal_claim_amountvehicle_classvehicle_sizemonth
0BU79786Washington2763.519279NoBasicBachelor2011-02-24EmployedF56274...01Corporate AutoCorporate L3Offer1Agent384.811147Two-Door CarMedsize2
1QZ44356Arizona6979.535903NoExtendedBachelor2011-01-31UnemployedF0...08Personal AutoPersonal L3Offer3Agent1131.464935Four-Door CarMedsize1
2AI49188Nevada12887.431650NoPremiumBachelor2011-02-19EmployedF48767...02Personal AutoPersonal L3Offer1Agent566.472247Two-Door CarMedsize2
3WW63253California7645.861827NoBasicBachelor2011-01-20UnemployedM0...07Corporate AutoCorporate L2Offer1Call Center529.881344SUVMedsize1
4HB64268Washington2813.692575NoBasicBachelor2011-02-03EmployedM43836...01Personal AutoPersonal L1Offer1Agent138.130879Four-Door CarMedsize2
..................................................................
9129LA72316California23405.987980NoBasicBachelor2011-02-10EmployedM71941...02Personal AutoPersonal L1Offer2Web198.234764Four-Door CarMedsize2
9130PK87824California3096.511217YesExtendedCollege2011-02-12EmployedF21604...01Corporate AutoCorporate L3Offer1Branch379.200000Four-Door CarMedsize2
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9132UP19263California7524.442436NoExtendedCollege2011-02-03EmployedM21941...03Personal AutoPersonal L2Offer3Branch691.200000Four-Door CarLarge2
9133Y167826California2611.836866NoExtendedCollege2011-02-14UnemployedM0...01Corporate AutoCorporate L3Offer4Call Center369.600000Two-Door CarMedsize2
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0BU79786Washington2763.519279NoBasicBachelor2011-02-24EmployedF56274...01Corporate AutoCorporate L3Offer1Agent384.811147Two-Door CarMedsize2
1QZ44356Arizona6979.535903NoExtendedBachelor2011-01-31UnemployedF0...08Personal AutoPersonal L3Offer3Agent1131.464935Four-Door CarMedsize1
2AI49188Nevada12887.431650NoPremiumBachelor2011-02-19EmployedF48767...02Personal AutoPersonal L3Offer1Agent566.472247Two-Door CarMedsize2
3WW63253California7645.861827NoBasicBachelor2011-01-20UnemployedM0...07Corporate AutoCorporate L2Offer1Call Center529.881344SUVMedsize1
4HB64268Washington2813.692575NoBasicBachelor2011-02-03EmployedM43836...01Personal AutoPersonal L1Offer1Agent138.130879Four-Door CarMedsize2
..................................................................
9129LA72316California23405.987980NoBasicBachelor2011-02-10EmployedM71941...02Personal AutoPersonal L1Offer2Web198.234764Four-Door CarMedsize2
9130PK87824California3096.511217YesExtendedCollege2011-02-12EmployedF21604...01Corporate AutoCorporate L3Offer1Branch379.200000Four-Door CarMedsize2
9131TD14365California8163.890428NoExtendedBachelor2011-02-06UnemployedM0...32Corporate AutoCorporate L2Offer1Branch790.784983Four-Door CarMedsize2
9132UP19263California7524.442436NoExtendedCollege2011-02-03EmployedM21941...03Personal AutoPersonal L2Offer3Branch691.200000Four-Door CarLarge2
9133Y167826California2611.836866NoExtendedCollege2011-02-14UnemployedM0...01Corporate AutoCorporate L3Offer4Call Center369.600000Two-Door CarMedsize2
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9134 rows × 25 columns

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" + ], + "text/plain": [ + " customer state customer_lifetime_value response coverage \\\n", + "0 BU79786 Washington 2763.519279 No Basic \n", + "1 QZ44356 Arizona 6979.535903 No Extended \n", + "2 AI49188 Nevada 12887.431650 No Premium \n", + "3 WW63253 California 7645.861827 No Basic \n", + "4 HB64268 Washington 2813.692575 No Basic \n", + "... ... ... ... ... ... \n", + "9129 LA72316 California 23405.987980 No Basic \n", + "9130 PK87824 California 3096.511217 Yes Extended \n", + "9131 TD14365 California 8163.890428 No Extended \n", + "9132 UP19263 California 7524.442436 No Extended \n", + "9133 Y167826 California 2611.836866 No Extended \n", + "\n", + " education effective_to_date employmentstatus gender income ... \\\n", + "0 Bachelor 2011-02-24 Employed F 56274 ... \n", + "1 Bachelor 2011-01-31 Unemployed F 0 ... \n", + "2 Bachelor 2011-02-19 Employed F 48767 ... \n", + "3 Bachelor 2011-01-20 Unemployed M 0 ... \n", + "4 Bachelor 2011-02-03 Employed M 43836 ... \n", + "... ... ... ... ... ... ... \n", + "9129 Bachelor 2011-02-10 Employed M 71941 ... \n", + "9130 College 2011-02-12 Employed F 21604 ... \n", + "9131 Bachelor 2011-02-06 Unemployed M 0 ... \n", + "9132 College 2011-02-03 Employed M 21941 ... \n", + "9133 College 2011-02-14 Unemployed M 0 ... \n", + "\n", + " number_of_open_complaints number_of_policies policy_type \\\n", + "0 0 1 Corporate Auto \n", + "1 0 8 Personal Auto \n", + "2 0 2 Personal Auto \n", + "3 0 7 Corporate Auto \n", + "4 0 1 Personal Auto \n", + "... ... ... ... \n", + "9129 0 2 Personal Auto \n", + "9130 0 1 Corporate Auto \n", + "9131 3 2 Corporate Auto \n", + "9132 0 3 Personal Auto \n", + "9133 0 1 Corporate Auto \n", + "\n", + " policy renew_offer_type sales_channel total_claim_amount \\\n", + "0 Corporate L3 Offer1 Agent 384.811147 \n", + "1 Personal L3 Offer3 Agent 1131.464935 \n", + "2 Personal L3 Offer1 Agent 566.472247 \n", + "3 Corporate L2 Offer1 Call Center 529.881344 \n", + "4 Personal L1 Offer1 Agent 138.130879 \n", + "... ... ... ... ... \n", + "9129 Personal L1 Offer2 Web 198.234764 \n", + "9130 Corporate L3 Offer1 Branch 379.200000 \n", + "9131 Corporate L2 Offer1 Branch 790.784983 \n", + "9132 Personal L2 Offer3 Branch 691.200000 \n", + "9133 Corporate L3 Offer4 Call Center 369.600000 \n", + "\n", + " vehicle_class vehicle_size month \n", + "0 Two-Door Car Medsize 2 \n", + "1 Four-Door Car Medsize 1 \n", + "2 Two-Door Car Medsize 2 \n", + "3 SUV Medsize 1 \n", + "4 Four-Door Car Medsize 2 \n", + "... ... ... ... \n", + "9129 Four-Door Car Medsize 2 \n", + "9130 Four-Door Car Medsize 2 \n", + "9131 Four-Door Car Medsize 2 \n", + "9132 Four-Door Car Large 2 \n", + "9133 Two-Door Car Medsize 2 \n", + "\n", + "[9134 rows x 25 columns]" + ] + }, + "execution_count": 150, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#filter by months\n", + "\n", + "\n", + "condition = df['month'] <= 3\n", + "df[condition]" + ] + }, + { + "cell_type": "code", + "execution_count": 151, + "id": "77e0b4bd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([2, 1])" + ] + }, + "execution_count": 151, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.month.unique()" + ] + }, + { + "cell_type": "code", + "execution_count": 152, + "id": "97e0e509", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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customerstatecustomer_lifetime_valueresponsecoverageeducationeffective_to_dateemploymentstatusgenderincome...number_of_open_complaintsnumber_of_policiespolicy_typepolicyrenew_offer_typesales_channeltotal_claim_amountvehicle_classvehicle_sizemonth
1QZ44356Arizona6979.535903NoExtendedBachelor2011-01-31UnemployedF0...08Personal AutoPersonal L3Offer3Agent1131.464935Four-Door CarMedsize1
3WW63253California7645.861827NoBasicBachelor2011-01-20UnemployedM0...07Corporate AutoCorporate L2Offer1Call Center529.881344SUVMedsize1
5OC83172Oregon8256.297800YesBasicBachelor2011-01-25EmployedF62902...02Personal AutoPersonal L3Offer2Web159.383042Two-Door CarMedsize1
7CF85061Arizona7216.100311NoPremiumMaster2011-01-18UnemployedM0...04Corporate AutoCorporate L3Offer1Agent363.029680Four-Door CarMedsize1
8DY87989Oregon24127.504020YesBasicBachelor2011-01-26Medical LeaveM14072...02Corporate AutoCorporate L3Offer1Agent511.200000Four-Door CarMedsize1
..................................................................
9123WZ45103California5678.050167YesExtendedBachelor2011-01-19UnemployedF0...03Personal AutoPersonal L2Offer2Agent364.800000Four-Door CarSmall1
9124CB59349California16261.585500NoExtendedMaster2011-01-20EmployedM60646...02Personal AutoPersonal L3Offer2Agent643.200000SUVMedsize1
9125RX91025California19872.262000NoPremiumHigh School or Below2011-01-31UnemployedM0...02Personal AutoPersonal L3Offer1Agent1950.725547SUVSmall1
9126AC13887California4628.995325NoBasicBachelor2011-01-09UnemployedM0...04Corporate AutoCorporate L1Offer1Branch482.400000Two-Door CarMedsize1
9128YM19146California4100.398533NoPremiumCollege2011-01-06EmployedF47761...01Personal AutoPersonal L2Offer1Branch541.282007Four-Door CarLarge1
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4898 rows × 25 columns

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" + ], + "text/plain": [ + " customer state customer_lifetime_value response coverage \\\n", + "1 QZ44356 Arizona 6979.535903 No Extended \n", + "3 WW63253 California 7645.861827 No Basic \n", + "5 OC83172 Oregon 8256.297800 Yes Basic \n", + "7 CF85061 Arizona 7216.100311 No Premium \n", + "8 DY87989 Oregon 24127.504020 Yes Basic \n", + "... ... ... ... ... ... \n", + "9123 WZ45103 California 5678.050167 Yes Extended \n", + "9124 CB59349 California 16261.585500 No Extended \n", + "9125 RX91025 California 19872.262000 No Premium \n", + "9126 AC13887 California 4628.995325 No Basic \n", + "9128 YM19146 California 4100.398533 No Premium \n", + "\n", + " education effective_to_date employmentstatus gender income \\\n", + "1 Bachelor 2011-01-31 Unemployed F 0 \n", + "3 Bachelor 2011-01-20 Unemployed M 0 \n", + "5 Bachelor 2011-01-25 Employed F 62902 \n", + "7 Master 2011-01-18 Unemployed M 0 \n", + "8 Bachelor 2011-01-26 Medical Leave M 14072 \n", + "... ... ... ... ... ... \n", + "9123 Bachelor 2011-01-19 Unemployed F 0 \n", + "9124 Master 2011-01-20 Employed M 60646 \n", + "9125 High School or Below 2011-01-31 Unemployed M 0 \n", + "9126 Bachelor 2011-01-09 Unemployed M 0 \n", + "9128 College 2011-01-06 Employed F 47761 \n", + "\n", + " ... number_of_open_complaints number_of_policies policy_type \\\n", + "1 ... 0 8 Personal Auto \n", + "3 ... 0 7 Corporate Auto \n", + "5 ... 0 2 Personal Auto \n", + "7 ... 0 4 Corporate Auto \n", + "8 ... 0 2 Corporate Auto \n", + "... ... ... ... ... \n", + "9123 ... 0 3 Personal Auto \n", + "9124 ... 0 2 Personal Auto \n", + "9125 ... 0 2 Personal Auto \n", + "9126 ... 0 4 Corporate Auto \n", + "9128 ... 0 1 Personal Auto \n", + "\n", + " policy renew_offer_type sales_channel total_claim_amount \\\n", + "1 Personal L3 Offer3 Agent 1131.464935 \n", + "3 Corporate L2 Offer1 Call Center 529.881344 \n", + "5 Personal L3 Offer2 Web 159.383042 \n", + "7 Corporate L3 Offer1 Agent 363.029680 \n", + "8 Corporate L3 Offer1 Agent 511.200000 \n", + "... ... ... ... ... \n", + "9123 Personal L2 Offer2 Agent 364.800000 \n", + "9124 Personal L3 Offer2 Agent 643.200000 \n", + "9125 Personal L3 Offer1 Agent 1950.725547 \n", + "9126 Corporate L1 Offer1 Branch 482.400000 \n", + "9128 Personal L2 Offer1 Branch 541.282007 \n", + "\n", + " vehicle_class vehicle_size month \n", + "1 Four-Door Car Medsize 1 \n", + "3 SUV Medsize 1 \n", + "5 Two-Door Car Medsize 1 \n", + "7 Four-Door Car Medsize 1 \n", + "8 Four-Door Car Medsize 1 \n", + "... ... ... ... \n", + "9123 Four-Door Car Small 1 \n", + "9124 SUV Medsize 1 \n", + "9125 SUV Small 1 \n", + "9126 Two-Door Car Medsize 1 \n", + "9128 Four-Door Car Large 1 \n", + "\n", + "[4898 rows x 25 columns]" + ] + }, + "execution_count": 152, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "condition = df['month'] == 1\n", + "df_january = df[condition]\n", + "df_january" + ] + }, + { + "cell_type": "code", + "execution_count": 153, + "id": "1e732910", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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customerstatecustomer_lifetime_valueresponsecoverageeducationeffective_to_dateemploymentstatusgenderincome...number_of_open_complaintsnumber_of_policiespolicy_typepolicyrenew_offer_typesales_channeltotal_claim_amountvehicle_classvehicle_sizemonth
0BU79786Washington2763.519279NoBasicBachelor2011-02-24EmployedF56274...01Corporate AutoCorporate L3Offer1Agent384.811147Two-Door CarMedsize2
2AI49188Nevada12887.431650NoPremiumBachelor2011-02-19EmployedF48767...02Personal AutoPersonal L3Offer1Agent566.472247Two-Door CarMedsize2
4HB64268Washington2813.692575NoBasicBachelor2011-02-03EmployedM43836...01Personal AutoPersonal L1Offer1Agent138.130879Four-Door CarMedsize2
6XZ87318Oregon5380.898636YesBasicCollege2011-02-24EmployedF55350...09Corporate AutoCorporate L3Offer1Agent321.600000Four-Door CarMedsize2
9BQ94931Oregon7388.178085NoExtendedCollege2011-02-17EmployedF28812...08Special AutoSpecial L2Offer2Branch425.527834Four-Door CarMedsize2
..................................................................
9129LA72316California23405.987980NoBasicBachelor2011-02-10EmployedM71941...02Personal AutoPersonal L1Offer2Web198.234764Four-Door CarMedsize2
9130PK87824California3096.511217YesExtendedCollege2011-02-12EmployedF21604...01Corporate AutoCorporate L3Offer1Branch379.200000Four-Door CarMedsize2
9131TD14365California8163.890428NoExtendedBachelor2011-02-06UnemployedM0...32Corporate AutoCorporate L2Offer1Branch790.784983Four-Door CarMedsize2
9132UP19263California7524.442436NoExtendedCollege2011-02-03EmployedM21941...03Personal AutoPersonal L2Offer3Branch691.200000Four-Door CarLarge2
9133Y167826California2611.836866NoExtendedCollege2011-02-14UnemployedM0...01Corporate AutoCorporate L3Offer4Call Center369.600000Two-Door CarMedsize2
\n", + "

4236 rows × 25 columns

\n", + "
" + ], + "text/plain": [ + " customer state customer_lifetime_value response coverage \\\n", + "0 BU79786 Washington 2763.519279 No Basic \n", + "2 AI49188 Nevada 12887.431650 No Premium \n", + "4 HB64268 Washington 2813.692575 No Basic \n", + "6 XZ87318 Oregon 5380.898636 Yes Basic \n", + "9 BQ94931 Oregon 7388.178085 No Extended \n", + "... ... ... ... ... ... \n", + "9129 LA72316 California 23405.987980 No Basic \n", + "9130 PK87824 California 3096.511217 Yes Extended \n", + "9131 TD14365 California 8163.890428 No Extended \n", + "9132 UP19263 California 7524.442436 No Extended \n", + "9133 Y167826 California 2611.836866 No Extended \n", + "\n", + " education effective_to_date employmentstatus gender income ... \\\n", + "0 Bachelor 2011-02-24 Employed F 56274 ... \n", + "2 Bachelor 2011-02-19 Employed F 48767 ... \n", + "4 Bachelor 2011-02-03 Employed M 43836 ... \n", + "6 College 2011-02-24 Employed F 55350 ... \n", + "9 College 2011-02-17 Employed F 28812 ... \n", + "... ... ... ... ... ... ... \n", + "9129 Bachelor 2011-02-10 Employed M 71941 ... \n", + "9130 College 2011-02-12 Employed F 21604 ... \n", + "9131 Bachelor 2011-02-06 Unemployed M 0 ... \n", + "9132 College 2011-02-03 Employed M 21941 ... \n", + "9133 College 2011-02-14 Unemployed M 0 ... \n", + "\n", + " number_of_open_complaints number_of_policies policy_type \\\n", + "0 0 1 Corporate Auto \n", + "2 0 2 Personal Auto \n", + "4 0 1 Personal Auto \n", + "6 0 9 Corporate Auto \n", + "9 0 8 Special Auto \n", + "... ... ... ... \n", + "9129 0 2 Personal Auto \n", + "9130 0 1 Corporate Auto \n", + "9131 3 2 Corporate Auto \n", + "9132 0 3 Personal Auto \n", + "9133 0 1 Corporate Auto \n", + "\n", + " policy renew_offer_type sales_channel total_claim_amount \\\n", + "0 Corporate L3 Offer1 Agent 384.811147 \n", + "2 Personal L3 Offer1 Agent 566.472247 \n", + "4 Personal L1 Offer1 Agent 138.130879 \n", + "6 Corporate L3 Offer1 Agent 321.600000 \n", + "9 Special L2 Offer2 Branch 425.527834 \n", + "... ... ... ... ... \n", + "9129 Personal L1 Offer2 Web 198.234764 \n", + "9130 Corporate L3 Offer1 Branch 379.200000 \n", + "9131 Corporate L2 Offer1 Branch 790.784983 \n", + "9132 Personal L2 Offer3 Branch 691.200000 \n", + "9133 Corporate L3 Offer4 Call Center 369.600000 \n", + "\n", + " vehicle_class vehicle_size month \n", + "0 Two-Door Car Medsize 2 \n", + "2 Two-Door Car Medsize 2 \n", + "4 Four-Door Car Medsize 2 \n", + "6 Four-Door Car Medsize 2 \n", + "9 Four-Door Car Medsize 2 \n", + "... ... ... ... \n", + "9129 Four-Door Car Medsize 2 \n", + "9130 Four-Door Car Medsize 2 \n", + "9131 Four-Door Car Medsize 2 \n", + "9132 Four-Door Car Large 2 \n", + "9133 Two-Door Car Medsize 2 \n", + "\n", + "[4236 rows x 25 columns]" + ] + }, + "execution_count": 153, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "condition = df['month'] == 2\n", + "df_february = df[condition]\n", + "df_february" + ] + }, + { + "cell_type": "markdown", + "id": "47f5f63a", + "metadata": {}, + "source": [ + "# BONUS: Put all the previously mentioned data transformations into a function." + ] + }, + { + "cell_type": "code", + "execution_count": 154, + "id": "82f27cce", + "metadata": {}, + "outputs": [], + "source": [ + "#putting into the function\n", + "\n", + "def filtering(dataframe, month):\n", + " condition = dataframe['month'] == month\n", + " dataframe = dataframe[condition]\n", + " return dataframe\n", + " \n", + "new_df = filtering(df, 2)" + ] + }, + { + "cell_type": "code", + "execution_count": 155, + "id": "e4263fbb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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customerstatecustomer_lifetime_valueresponsecoverageeducationeffective_to_dateemploymentstatusgenderincome...number_of_open_complaintsnumber_of_policiespolicy_typepolicyrenew_offer_typesales_channeltotal_claim_amountvehicle_classvehicle_sizemonth
0BU79786Washington2763.519279NoBasicBachelor2011-02-24EmployedF56274...01Corporate AutoCorporate L3Offer1Agent384.811147Two-Door CarMedsize2
2AI49188Nevada12887.431650NoPremiumBachelor2011-02-19EmployedF48767...02Personal AutoPersonal L3Offer1Agent566.472247Two-Door CarMedsize2
4HB64268Washington2813.692575NoBasicBachelor2011-02-03EmployedM43836...01Personal AutoPersonal L1Offer1Agent138.130879Four-Door CarMedsize2
6XZ87318Oregon5380.898636YesBasicCollege2011-02-24EmployedF55350...09Corporate AutoCorporate L3Offer1Agent321.600000Four-Door CarMedsize2
9BQ94931Oregon7388.178085NoExtendedCollege2011-02-17EmployedF28812...08Special AutoSpecial L2Offer2Branch425.527834Four-Door CarMedsize2
..................................................................
9129LA72316California23405.987980NoBasicBachelor2011-02-10EmployedM71941...02Personal AutoPersonal L1Offer2Web198.234764Four-Door CarMedsize2
9130PK87824California3096.511217YesExtendedCollege2011-02-12EmployedF21604...01Corporate AutoCorporate L3Offer1Branch379.200000Four-Door CarMedsize2
9131TD14365California8163.890428NoExtendedBachelor2011-02-06UnemployedM0...32Corporate AutoCorporate L2Offer1Branch790.784983Four-Door CarMedsize2
9132UP19263California7524.442436NoExtendedCollege2011-02-03EmployedM21941...03Personal AutoPersonal L2Offer3Branch691.200000Four-Door CarLarge2
9133Y167826California2611.836866NoExtendedCollege2011-02-14UnemployedM0...01Corporate AutoCorporate L3Offer4Call Center369.600000Two-Door CarMedsize2
\n", + "

4236 rows × 25 columns

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" + ], + "text/plain": [ + " customer state customer_lifetime_value response coverage \\\n", + "0 BU79786 Washington 2763.519279 No Basic \n", + "2 AI49188 Nevada 12887.431650 No Premium \n", + "4 HB64268 Washington 2813.692575 No Basic \n", + "6 XZ87318 Oregon 5380.898636 Yes Basic \n", + "9 BQ94931 Oregon 7388.178085 No Extended \n", + "... ... ... ... ... ... \n", + "9129 LA72316 California 23405.987980 No Basic \n", + "9130 PK87824 California 3096.511217 Yes Extended \n", + "9131 TD14365 California 8163.890428 No Extended \n", + "9132 UP19263 California 7524.442436 No Extended \n", + "9133 Y167826 California 2611.836866 No Extended \n", + "\n", + " education effective_to_date employmentstatus gender income ... \\\n", + "0 Bachelor 2011-02-24 Employed F 56274 ... \n", + "2 Bachelor 2011-02-19 Employed F 48767 ... \n", + "4 Bachelor 2011-02-03 Employed M 43836 ... \n", + "6 College 2011-02-24 Employed F 55350 ... \n", + "9 College 2011-02-17 Employed F 28812 ... \n", + "... ... ... ... ... ... ... \n", + "9129 Bachelor 2011-02-10 Employed M 71941 ... \n", + "9130 College 2011-02-12 Employed F 21604 ... \n", + "9131 Bachelor 2011-02-06 Unemployed M 0 ... \n", + "9132 College 2011-02-03 Employed M 21941 ... \n", + "9133 College 2011-02-14 Unemployed M 0 ... \n", + "\n", + " number_of_open_complaints number_of_policies policy_type \\\n", + "0 0 1 Corporate Auto \n", + "2 0 2 Personal Auto \n", + "4 0 1 Personal Auto \n", + "6 0 9 Corporate Auto \n", + "9 0 8 Special Auto \n", + "... ... ... ... \n", + "9129 0 2 Personal Auto \n", + "9130 0 1 Corporate Auto \n", + "9131 3 2 Corporate Auto \n", + "9132 0 3 Personal Auto \n", + "9133 0 1 Corporate Auto \n", + "\n", + " policy renew_offer_type sales_channel total_claim_amount \\\n", + "0 Corporate L3 Offer1 Agent 384.811147 \n", + "2 Personal L3 Offer1 Agent 566.472247 \n", + "4 Personal L1 Offer1 Agent 138.130879 \n", + "6 Corporate L3 Offer1 Agent 321.600000 \n", + "9 Special L2 Offer2 Branch 425.527834 \n", + "... ... ... ... ... \n", + "9129 Personal L1 Offer2 Web 198.234764 \n", + "9130 Corporate L3 Offer1 Branch 379.200000 \n", + "9131 Corporate L2 Offer1 Branch 790.784983 \n", + "9132 Personal L2 Offer3 Branch 691.200000 \n", + "9133 Corporate L3 Offer4 Call Center 369.600000 \n", + "\n", + " vehicle_class vehicle_size month \n", + "0 Two-Door Car Medsize 2 \n", + "2 Two-Door Car Medsize 2 \n", + "4 Four-Door Car Medsize 2 \n", + "6 Four-Door Car Medsize 2 \n", + "9 Four-Door Car Medsize 2 \n", + "... ... ... ... \n", + "9129 Four-Door Car Medsize 2 \n", + "9130 Four-Door Car Medsize 2 \n", + "9131 Four-Door Car Medsize 2 \n", + "9132 Four-Door Car Large 2 \n", + "9133 Two-Door Car Medsize 2 \n", + "\n", + "[4236 rows x 25 columns]" + ] + }, + "execution_count": 155, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "new_df" + ] + }, + { + "cell_type": "markdown", + "id": "3116a23c", + "metadata": {}, + "source": [ + "# Lab | Customer Analysis Round 3\n" + ] + }, + { + "cell_type": "markdown", + "id": "1910649c", + "metadata": {}, + "source": [ + "Show DataFrame info." + ] + }, + { + "cell_type": "code", + "execution_count": 156, + "id": "fed7b063", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 9134 entries, 0 to 9133\n", + "Data columns (total 25 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 customer 9134 non-null object \n", + " 1 state 9134 non-null object \n", + " 2 customer_lifetime_value 9134 non-null float64 \n", + " 3 response 9134 non-null object \n", + " 4 coverage 9134 non-null object \n", + " 5 education 9134 non-null object \n", + " 6 effective_to_date 9134 non-null datetime64[ns]\n", + " 7 employmentstatus 9134 non-null object \n", + " 8 gender 9134 non-null object \n", + " 9 income 9134 non-null int64 \n", + " 10 location_code 9134 non-null object \n", + " 11 marital_status 9134 non-null object \n", + " 12 monthly_premium_auto 9134 non-null int64 \n", + " 13 months_since_last_claim 9134 non-null int64 \n", + " 14 months_since_policy_inception 9134 non-null int64 \n", + " 15 number_of_open_complaints 9134 non-null int64 \n", + " 16 number_of_policies 9134 non-null int64 \n", + " 17 policy_type 9134 non-null object \n", + " 18 policy 9134 non-null object \n", + " 19 renew_offer_type 9134 non-null object \n", + " 20 sales_channel 9134 non-null object \n", + " 21 total_claim_amount 9134 non-null float64 \n", + " 22 vehicle_class 9134 non-null object \n", + " 23 vehicle_size 9134 non-null object \n", + " 24 month 9134 non-null int32 \n", + "dtypes: datetime64[ns](1), float64(2), int32(1), int64(6), object(15)\n", + "memory usage: 1.7+ MB\n" + ] + } + ], + "source": [ + "df.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 157, + "id": "e7a1286e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(9134, 25)" + ] + }, + "execution_count": 157, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.shape" + ] + }, + { + "cell_type": "markdown", + "id": "0afda7cc", + "metadata": {}, + "source": [ + "Describe DataFrame." + ] + }, + { + "cell_type": "code", + "execution_count": 158, + "id": "73d5d8af", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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customer_lifetime_valueeffective_to_dateincomemonthly_premium_automonths_since_last_claimmonths_since_policy_inceptionnumber_of_open_complaintsnumber_of_policiestotal_claim_amountmonth
count9134.00000091349134.0000009134.0000009134.0000009134.0000009134.0000009134.0000009134.0000009134.000000
mean8004.9404752011-01-29 20:06:21.51959705637657.38000993.21929115.09700048.0645940.3843882.966170434.0887941.463762
min1898.0076752011-01-01 00:00:000.00000061.0000000.0000000.0000000.0000001.0000000.0990071.000000
25%3994.2517942011-01-15 00:00:000.00000068.0000006.00000024.0000000.0000001.000000272.2582441.000000
50%5780.1821972011-01-29 00:00:0033889.50000083.00000014.00000048.0000000.0000002.000000383.9454341.000000
75%8962.1670412011-02-13 00:00:0062320.000000109.00000023.00000071.0000000.0000004.000000547.5148392.000000
max83325.3811902011-02-28 00:00:0099981.000000298.00000035.00000099.0000005.0000009.0000002893.2396782.000000
std6870.967608NaN30379.90473434.40796710.07325727.9059910.9103842.390182290.5000920.498712
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" + ], + "text/plain": [ + " customer_lifetime_value effective_to_date income \\\n", + "count 9134.000000 9134 9134.000000 \n", + "mean 8004.940475 2011-01-29 20:06:21.519597056 37657.380009 \n", + "min 1898.007675 2011-01-01 00:00:00 0.000000 \n", + "25% 3994.251794 2011-01-15 00:00:00 0.000000 \n", + "50% 5780.182197 2011-01-29 00:00:00 33889.500000 \n", + "75% 8962.167041 2011-02-13 00:00:00 62320.000000 \n", + "max 83325.381190 2011-02-28 00:00:00 99981.000000 \n", + "std 6870.967608 NaN 30379.904734 \n", + "\n", + " monthly_premium_auto months_since_last_claim \\\n", + "count 9134.000000 9134.000000 \n", + "mean 93.219291 15.097000 \n", + "min 61.000000 0.000000 \n", + "25% 68.000000 6.000000 \n", + "50% 83.000000 14.000000 \n", + "75% 109.000000 23.000000 \n", + "max 298.000000 35.000000 \n", + "std 34.407967 10.073257 \n", + "\n", + " months_since_policy_inception number_of_open_complaints \\\n", + "count 9134.000000 9134.000000 \n", + "mean 48.064594 0.384388 \n", + "min 0.000000 0.000000 \n", + "25% 24.000000 0.000000 \n", + "50% 48.000000 0.000000 \n", + "75% 71.000000 0.000000 \n", + "max 99.000000 5.000000 \n", + "std 27.905991 0.910384 \n", + "\n", + " number_of_policies total_claim_amount month \n", + "count 9134.000000 9134.000000 9134.000000 \n", + "mean 2.966170 434.088794 1.463762 \n", + "min 1.000000 0.099007 1.000000 \n", + "25% 1.000000 272.258244 1.000000 \n", + "50% 2.000000 383.945434 1.000000 \n", + "75% 4.000000 547.514839 2.000000 \n", + "max 9.000000 2893.239678 2.000000 \n", + "std 2.390182 290.500092 0.498712 " + ] + }, + "execution_count": 158, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.describe()" + ] + }, + { + "cell_type": "markdown", + "id": "cd88bf89", + "metadata": {}, + "source": [ + "Show a plot of the total number of responses." + ] + }, + { + "cell_type": "code", + "execution_count": 159, + "id": "28f4006e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(df['response'])\n", + "\n", + "\n", + "plt.xlabel('Response')\n", + "plt.ylabel('Frequency')\n", + "plt.title('Number of Responses')\n", + "plt.show()\n", + "\n", + "\n", + "# to show how many people responded\n" + ] + }, + { + "cell_type": "code", + "execution_count": 160, + "id": "88e39883", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 160, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df['response'].value_counts().plot(kind='bar')" + ] + }, + { + "cell_type": "markdown", + "id": "fae6bb4b", + "metadata": {}, + "source": [ + "Show a plot of the response rate by the sales channel." + ] + }, + { + "cell_type": "code", + "execution_count": 161, + "id": "1e338675", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['Agent', 'Call Center', 'Web', 'Branch'], dtype=object)" + ] + }, + "execution_count": 161, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['sales_channel'].unique()" + ] + }, + { + "cell_type": "code", + "execution_count": 162, + "id": "595f1a36", + "metadata": {}, + "outputs": [], + "source": [ + "#sns.barplot(x = df['response'], y = df['sales_channel'], data = df, estimator = 'mean')\n", + "#plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 163, + "id": "11ba7b9b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "response\n", + "No 7826\n", + "Yes 1308\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 163, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['response'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 164, + "id": "5803975a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "sales_channel\n", + "Agent 3477\n", + "Branch 2567\n", + "Call Center 1765\n", + "Web 1325\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 164, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['sales_channel'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 165, + "id": "53e05337", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.countplot(x='sales_channel', data=df)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 167, + "id": "c28d7c51", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.countplot(df, x=\"sales_channel\", hue=\"response\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 168, + "id": "d3c1ee55", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.boxplot(data=df, x=\"response\", y=\"total_claim_amount\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 169, + "id": "cba0aa6c", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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customerstateresponsecoverageeducationemploymentstatusgenderlocation_codemarital_statuspolicy_typepolicyrenew_offer_typesales_channelvehicle_classvehicle_size
0BU79786WashingtonNoBasicBachelorEmployedFSuburbanMarriedCorporate AutoCorporate L3Offer1AgentTwo-Door CarMedsize
1QZ44356ArizonaNoExtendedBachelorUnemployedFSuburbanSinglePersonal AutoPersonal L3Offer3AgentFour-Door CarMedsize
2AI49188NevadaNoPremiumBachelorEmployedFSuburbanMarriedPersonal AutoPersonal L3Offer1AgentTwo-Door CarMedsize
3WW63253CaliforniaNoBasicBachelorUnemployedMSuburbanMarriedCorporate AutoCorporate L2Offer1Call CenterSUVMedsize
4HB64268WashingtonNoBasicBachelorEmployedMRuralSinglePersonal AutoPersonal L1Offer1AgentFour-Door CarMedsize
................................................
9129LA72316CaliforniaNoBasicBachelorEmployedMUrbanMarriedPersonal AutoPersonal L1Offer2WebFour-Door CarMedsize
9130PK87824CaliforniaYesExtendedCollegeEmployedFSuburbanDivorcedCorporate AutoCorporate L3Offer1BranchFour-Door CarMedsize
9131TD14365CaliforniaNoExtendedBachelorUnemployedMSuburbanSingleCorporate AutoCorporate L2Offer1BranchFour-Door CarMedsize
9132UP19263CaliforniaNoExtendedCollegeEmployedMSuburbanMarriedPersonal AutoPersonal L2Offer3BranchFour-Door CarLarge
9133Y167826CaliforniaNoExtendedCollegeUnemployedMSuburbanSingleCorporate AutoCorporate L3Offer4Call CenterTwo-Door CarMedsize
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9134 rows × 15 columns

\n", + "
" + ], + "text/plain": [ + " customer state response coverage education employmentstatus \\\n", + "0 BU79786 Washington No Basic Bachelor Employed \n", + "1 QZ44356 Arizona No Extended Bachelor Unemployed \n", + "2 AI49188 Nevada No Premium Bachelor Employed \n", + "3 WW63253 California No Basic Bachelor Unemployed \n", + "4 HB64268 Washington No Basic Bachelor Employed \n", + "... ... ... ... ... ... ... \n", + "9129 LA72316 California No Basic Bachelor Employed \n", + "9130 PK87824 California Yes Extended College Employed \n", + "9131 TD14365 California No Extended Bachelor Unemployed \n", + "9132 UP19263 California No Extended College Employed \n", + "9133 Y167826 California No Extended College Unemployed \n", + "\n", + " gender location_code marital_status policy_type policy \\\n", + "0 F Suburban Married Corporate Auto Corporate L3 \n", + "1 F Suburban Single Personal Auto Personal L3 \n", + "2 F Suburban Married Personal Auto Personal L3 \n", + "3 M Suburban Married Corporate Auto Corporate L2 \n", + "4 M Rural Single Personal Auto Personal L1 \n", + "... ... ... ... ... ... \n", + "9129 M Urban Married Personal Auto Personal L1 \n", + "9130 F Suburban Divorced Corporate Auto Corporate L3 \n", + "9131 M Suburban Single Corporate Auto Corporate L2 \n", + "9132 M Suburban Married Personal Auto Personal L2 \n", + "9133 M Suburban Single Corporate Auto Corporate L3 \n", + "\n", + " renew_offer_type sales_channel vehicle_class vehicle_size \n", + "0 Offer1 Agent Two-Door Car Medsize \n", + "1 Offer3 Agent Four-Door Car Medsize \n", + "2 Offer1 Agent Two-Door Car Medsize \n", + "3 Offer1 Call Center SUV Medsize \n", + "4 Offer1 Agent Four-Door Car Medsize \n", + "... ... ... ... ... \n", + "9129 Offer2 Web Four-Door Car Medsize \n", + "9130 Offer1 Branch Four-Door Car Medsize \n", + "9131 Offer1 Branch Four-Door Car Medsize \n", + "9132 Offer3 Branch Four-Door Car Large \n", + "9133 Offer4 Call Center Two-Door Car Medsize \n", + "\n", + "[9134 rows x 15 columns]" + ] + }, + "execution_count": 173, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "categorical = df.select_dtypes(include=[object])\n", + "categorical" + ] + }, + { + "cell_type": "code", + "execution_count": 174, + "id": "1457843c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 9134 entries, 0 to 9133\n", + "Data columns (total 25 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 customer 9134 non-null object \n", + " 1 state 9134 non-null object \n", + " 2 customer_lifetime_value 9134 non-null float64 \n", + " 3 response 9134 non-null object \n", + " 4 coverage 9134 non-null object \n", + " 5 education 9134 non-null object \n", + " 6 effective_to_date 9134 non-null datetime64[ns]\n", + " 7 employmentstatus 9134 non-null object \n", + " 8 gender 9134 non-null object \n", + " 9 income 9134 non-null int64 \n", + " 10 location_code 9134 non-null object \n", + " 11 marital_status 9134 non-null object \n", + " 12 monthly_premium_auto 9134 non-null int64 \n", + " 13 months_since_last_claim 9134 non-null int64 \n", + " 14 months_since_policy_inception 9134 non-null int64 \n", + " 15 number_of_open_complaints 9134 non-null int64 \n", + " 16 number_of_policies 9134 non-null int64 \n", + " 17 policy_type 9134 non-null object \n", + " 18 policy 9134 non-null object \n", + " 19 renew_offer_type 9134 non-null object \n", + " 20 sales_channel 9134 non-null object \n", + " 21 total_claim_amount 9134 non-null float64 \n", + " 22 vehicle_class 9134 non-null object \n", + " 23 vehicle_size 9134 non-null object \n", + " 24 month 9134 non-null int32 \n", + "dtypes: datetime64[ns](1), float64(2), int32(1), int64(6), object(15)\n", + "memory usage: 1.7+ MB\n" + ] + } + ], + "source": [ + "df.info() # just checking if I got the right amount of columns in categorical and numerical" + ] + }, + { + "cell_type": "markdown", + "id": "34a27f2f", + "metadata": {}, + "source": [ + "Now we will try to check the normality of the numerical variables visually\n", + "Use seaborn library to construct distribution plots for the numerical variables\n", + "Use Matplotlib to construct histograms\n", + "Do the distributions for different numerical variables look like a normal distribution" + ] + }, + { + "cell_type": "code", + "execution_count": 175, + "id": "23ef64da", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['customer_lifetime_value', 'income', 'monthly_premium_auto',\n", + " 'months_since_last_claim', 'months_since_policy_inception',\n", + " 'number_of_open_complaints', 'number_of_policies', 'total_claim_amount',\n", + " 'month'],\n", + " dtype='object')" + ] + }, + "execution_count": 175, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "numerical.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 176, + "id": "f1860922", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.displot(numerical, x=\"customer_lifetime_value\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 177, + "id": "7e6881f1", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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fZs2aaf78+R4vSgEA4EJg9DVqAAAaOoIaAACDEdQAABiMoAYAwGAENQAABiOoAQAwGEENAIDBCGoAAAxGUAMAYDCCGgAAgxHUAAAYjKAGAMBgBDUAAAYjqAEAMBhBDQCAwQhqAAAMRlADAGAwghoAAIMR1AAAGIygBgDAYAQ1AAAGI6gBADAYQQ0AgMEIagAADEZQAwBgMIIaAACDEdQAABiMoAYAwGAENQAABiOoAQAwGEENAIDBahTUV1xxhX788Uev9mPHjumKK66odVEAAOAXNQrqb7/9VmVlZV7txcXFOnLkSK2LAgAAv2hSnc7vv/++/e+PP/5YTqfTni8rK9PatWvVvn37OisOAICGrlpBfffdd0uSHA6HRo4c6bHMz89P7du31wsvvFBnxQEA0NBVK6jLy8slSREREdqyZYtCQkLOS1EAAOAX1Qrq07Kysuq6DgAAUIEaBbUkrV27VmvXrlVubq59pH3aP/7xj1oXBgAAahjUs2bN0uzZs9W9e3eFhobK4XDUdV0AAEA1DOpXXnlFS5cu1YgRI+q6HgAA8Bs1eo66pKREvXv3rutaAADAGWoU1I888ohWrlxZ17UAAIAz1OjU988//6xFixZpzZo1uv766+Xn5+exPCkpqU6KAwCgoatRUO/cuVNdu3aVJGVkZHgs48YyAADqTo2Cev369XVdB2pgb2am+tx1j1d7aEiQkpe97oOKAAB1rcbPUcP3Sq1GCh08xas9+73nfVANAOB8qFFQ33rrrWc9xb1u3boaFwQAAH5Vo6A+fX36tNLSUu3YsUMZGRleP9YBAABqrkZBPXfu3Arb4+Pjdfz48VoVBAAAflWj56grc//99/OebwAA6lCdBvVnn32mZs2a1eVHAgDQoNXo1PeQIUM85i3LUnZ2trZu3aoZM2bUSWEAAKCGQe10Oj3mGzVqpI4dO2r27NmKjo6uk8IAAEANg3rJkiV1XQcAAKhArV54kp6erszMTDkcDnXq1Ek33HBDXdUFAABUw6DOzc3VsGHDtGHDBl1yySWyLEv5+fm69dZblZycrEsvvbSu6wQAoEGq0V3fsbGxKigo0O7du/XTTz8pLy9PGRkZKigo0MSJE+u0wCNHjuj+++9X69at1aJFC3Xt2lXp6en2csuyFB8fr7CwMDVv3lxRUVHavXu3x2cUFxcrNjZWISEhCggI0KBBg3T48OE6rRMAgPOhRkG9atUqLVy4UNdee63d1qlTJ7300kv66KOP6qy4vLw83XTTTfLz89NHH32kPXv26IUXXtAll1xi95kzZ46SkpK0YMECbdmyRW63W/3791dhYaHdJy4uTikpKUpOTtbGjRt1/PhxxcTEqKysrM5qBQDgfKjRqe/y8nKv36CWJD8/P5WXl9e6qNOee+45hYeHe9y81r59e/vflmVp3rx5mj59uv3I2LJly+RyubRy5UqNGTNG+fn5Wrx4sZYvX65+/fpJklasWKHw8HCtWbNGAwYMqLN6AQCoazU6or7tttv02GOP6bvvvrPbjhw5oscff1x9+/ats+Lef/99de/eXX/84x/Vpk0b3XDDDXrttdfs5VlZWcrJyfF4JMzf3199+vTRpk2bJP1yw1tpaalHn7CwMEVGRtp9AAAwVY2CesGCBSosLFT79u115ZVX6qqrrlJERIQKCws1f/78Oivum2++0cKFC9WhQwd9/PHHGjt2rCZOnKg33nhDkpSTkyNJcrlcHuu5XC57WU5Ojpo2baqgoKBK+1SkuLhYBQUFHhMAAPWtRqe+w8PDtW3bNqWmpuqrr76SZVnq1KmTfWq5rpSXl6t79+5KSEiQJN1www3avXu3Fi5cqAceeMDud+ZPblqWddaf4axKn8TERM2aNasW1QMAUHvVOqJet26dOnXqZB9d9u/fX7GxsZo4caJ69Oih6667Tv/3f/9XZ8WFhoaqU6dOHm3XXnutDh48KElyu92S5HVknJubax9lu91ulZSUKC8vr9I+FZk2bZry8/Pt6dChQ7XeHgAAqqtaQT1v3jyNHj1arVq18lrmdDo1ZswYJSUl1VlxN910k/bu3evR9p///Eft2rWTJEVERMjtdis1NdVeXlJSorS0NPXu3VuS1K1bN/n5+Xn0yc7OVkZGht2nIv7+/mrVqpXHBABAfatWUH/55Ze6/fbbK10eHR3t8YxzbT3++OPavHmzEhIS9PXXX2vlypVatGiRxo8fL+mXU95xcXFKSEhQSkqKMjIy9OCDD6pFixYaPny4pF/+gBg1apQmT56stWvXavv27br//vvVuXPnOj9VDwBAXavWNervv/++wsey7A9r0kQ//PBDrYs6rUePHkpJSdG0adM0e/ZsRUREaN68efrTn/5k95k6daqKioo0btw45eXlqWfPnlq9erUCAwPtPnPnzlWTJk00dOhQFRUVqW/fvlq6dKkaN25cZ7UCAHA+VCuoL7vsMu3atUtXXXVVhct37typ0NDQOinstJiYGMXExFS63OFwKD4+XvHx8ZX2adasmebPn1+nd6QDAFAfqnXq+84779Qzzzyjn3/+2WtZUVGRZs6cedZQBQAA1VOtI+qnn35a77zzjq6++mpNmDBBHTt2lMPhUGZmpl566SWVlZVp+vTp56tWAAAanGoFtcvl0qZNm/Too49q2rRpsixL0i+nnwcMGKCXX375rI88AQCA6qn2C0/atWunDz/8UHl5efr6669lWZY6dOjg9eYvAABQezV6M5kkBQUFqUePHnVZCwAAOEON3vUNAADqB0ENAIDBCGoAAAxGUAMAYDCCGgAAgxHUAAAYjKAGAMBgBDUAAAYjqAEAMBhBDQCAwQhqAAAMRlADAGAwghoAAIMR1AAAGIygBgDAYAQ1AAAGI6gBADAYQQ0AgMEIagAADEZQAwBgMIIaAACDEdQAABiMoAYAwGAENQAABiOoAQAwGEENAIDBCGoAAAxGUAMAYDCCGgAAgxHUAAAYjKAGAMBgBDUAAAYjqAEAMBhBDQCAwQhqAAAMRlADAGAwghoAAIMR1AAAGIygBgDAYAQ1AAAGI6gBADAYQQ0AgMEIagAADEZQAwBgMIIaAACDEdQAABiMoAYAwGAENQAABiOoAQAwGEENAIDBmvi6AKA6ho18RNlH87zaQ0OClLzsdR9UBADnF0GNC0r20TyFDp7i3f7e8z6oBgDOvwvq1HdiYqIcDofi4uLsNsuyFB8fr7CwMDVv3lxRUVHavXu3x3rFxcWKjY1VSEiIAgICNGjQIB0+fLieqwcAoPoumKDesmWLFi1apOuvv96jfc6cOUpKStKCBQu0ZcsWud1u9e/fX4WFhXafuLg4paSkKDk5WRs3btTx48cVExOjsrKy+t4MAACq5YII6uPHj+tPf/qTXnvtNQUFBdntlmVp3rx5mj59uoYMGaLIyEgtW7ZMJ0+e1MqVKyVJ+fn5Wrx4sV544QX169dPN9xwg1asWKFdu3ZpzZo1vtokAACq5III6vHjx+uuu+5Sv379PNqzsrKUk5Oj6Ohou83f3199+vTRpk2bJEnp6ekqLS316BMWFqbIyEi7T0WKi4tVUFDgMQEAUN+Mv5ksOTlZ27Zt05YtW7yW5eTkSJJcLpdHu8vl0oEDB+w+TZs29TgSP93n9PoVSUxM1KxZs2pbPs6Bu7gB4OyMDupDhw7pscce0+rVq9WsWbNK+zkcDo95y7K82s50rj7Tpk3TpEmT7PmCggKFh4dXsXJUVWV3cW94dpT63HWPV/veffsVWh+FAYAhjA7q9PR05ebmqlu3bnZbWVmZPvnkEy1YsEB79+6V9MtRc2jor//7zs3NtY+y3W63SkpKlJeX53FUnZubq969e1f63f7+/vL396/rTUIVlVqNKgzwjMTRPqgGAHzH6KDu27evdu3a5dH20EMP6ZprrtGTTz6pK664Qm63W6mpqbrhhhskSSUlJUpLS9Nzzz0nSerWrZv8/PyUmpqqoUOHSpKys7OVkZGhOXPm1O8G4bzZm5lZ4RE4p9ABXOiMDurAwEBFRkZ6tAUEBKh169Z2e1xcnBISEtShQwd16NBBCQkJatGihYYPHy5JcjqdGjVqlCZPnqzWrVsrODhYU6ZMUefOnb1uTsOFq7IjcF6EAuBCZ3RQV8XUqVNVVFSkcePGKS8vTz179tTq1asVGBho95k7d66aNGmioUOHqqioSH379tXSpUvVuHFjH1YOAMC5XXBBvWHDBo95h8Oh+Ph4xcfHV7pOs2bNNH/+fM2fP//8FgcAQB274IIaF6bKHsPiLm4AODuCGvWissewuIsbAM7ugngzGQAADRVBDQCAwQhqAAAMRlADAGAwghoAAIMR1AAAGIygBgDAYAQ1AAAGI6gBADAYQQ0AgMEIagAADMa7vhuQyn4YIzQkSMnLXvdBRQCAcyGoG5DKfhgj+73nfVANAKAqOPUNAIDBCGoAAAzGqW9ob2am+tx1j1c7164BwPcIaqjUalThtesNz46qMMClykO8shvW9u7br9DalwoADQ5BjUpVFuBS5TegVXbDWkbi6DqtDQAaCq5RAwBgMIIaAACDEdQAABiMa9QXocru4uaGLgC48BDUF6HKbgLjhi4AuPBw6hsAAIMR1AAAGIygBgDAYAQ1AAAGI6gBADAYQQ0AgMEIagAADEZQAwBgMIIaAACDEdQAABiMoAYAwGAENQAABiOoAQAwGEENAIDBCGoAAAxGUAMAYDCCGgAAgxHUAAAYjKAGAMBgBDUAAAYjqAEAMBhBDQCAwQhqAAAMRlADAGAwghoAAIM18XUBuDDtzcxUn7vu8W7ft1+hPqgHAC5WBDVqpNRqpNDBU7zaMxJH+6AaALh4ceobAACDEdQAABiMoAYAwGAENQAABjM6qBMTE9WjRw8FBgaqTZs2uvvuu7V3716PPpZlKT4+XmFhYWrevLmioqK0e/dujz7FxcWKjY1VSEiIAgICNGjQIB0+fLg+NwUAgBoxOqjT0tI0fvx4bd68WampqTp16pSio6N14sQJu8+cOXOUlJSkBQsWaMuWLXK73erfv78KCwvtPnFxcUpJSVFycrI2btyo48ePKyYmRmVlZb7YLAAAqszox7NWrVrlMb9kyRK1adNG6enp+v3vfy/LsjRv3jxNnz5dQ4YMkSQtW7ZMLpdLK1eu1JgxY5Sfn6/Fixdr+fLl6tevnyRpxYoVCg8P15o1azRgwIB63y4AAKrK6CPqM+Xn50uSgoODJUlZWVnKyclRdHS03cff3199+vTRpk2bJEnp6ekqLS316BMWFqbIyEi7T0WKi4tVUFDgMQEAUN8umKC2LEuTJk3SzTffrMjISElSTk6OJMnlcnn0dblc9rKcnBw1bdpUQUFBlfapSGJiopxOpz2Fh4fX5eYAAFAlF0xQT5gwQTt37tRbb73ltczhcHjMW5bl1Xamc/WZNm2a8vPz7enQoUM1KxwAgFq4III6NjZW77//vtavX6+2bdva7W63W5K8joxzc3Pto2y3262SkhLl5eVV2qci/v7+atWqlccEAEB9MzqoLcvShAkT9M4772jdunWKiIjwWB4RESG3263U1FS7raSkRGlpaerdu7ckqVu3bvLz8/Pok52drYyMDLsPAACmMvqu7/Hjx2vlypV67733FBgYaB85O51ONW/eXA6HQ3FxcUpISFCHDh3UoUMHJSQkqEWLFho+fLjdd9SoUZo8ebJat26t4OBgTZkyRZ07d7bvAgcAwFRGB/XChQslSVFRUR7tS5Ys0YMPPihJmjp1qoqKijRu3Djl5eWpZ8+eWr16tQIDA+3+c+fOVZMmTTR06FAVFRWpb9++Wrp0qRo3blxfmwIAQI0YHdSWZZ2zj8PhUHx8vOLj4yvt06xZM82fP1/z58+vw+oAADj/jL5GDQBAQ0dQAwBgMIIaAACDEdQAABiMoAYAwGAENQAABiOoAQAwGEENAIDBCGoAAAxGUAMAYDCCGgAAgxn9rm/gfBk28hFlH83zag8NCVLystd9UBEAVIygRoOUfTRPoYOneLe/97wPqgGAynHqGwAAg3FEDVQBp8oB+ApBDVRBZafKNzw7Sn3uusernQAHUFcIaqAWSq1GXOsGcF5xjRoAAIMR1AAAGIygBgDAYAQ1AAAGI6gBADAYQQ0AgMEIagAADEZQAwBgMIIaAACD8WYyXNT2ZmZW+IrPvfv2K9QH9QBAdRHUuKhV9orPjMTRPqgGAKqPoAZ+gyNwAKYhqIHf4AgcgGm4mQwAAIMR1AAAGIygBgDAYAQ1AAAGI6gBADAYQQ0AgMEIagAADEZQAwBgMIIaAACDEdQAABiMV4gC50Fl7wwPDQlS8rLXfVARgAsVQQ2cB5W9Mzz7ved9UA2ACxmnvgEAMBhBDQCAwQhqAAAMxjVqAMYYNvIRZR/Nq3AZN+KhoSKoAZw3lQXvgW/2q90VV3q17923X1FTFlb4WdyIh4aKoAZw3mQfzavw7veMxNGVtldXZX8McASOiwVBDaDWKgvLvfv2K7SOvqOyZ9MrOwrnCBwXC4IaQK2d7ci5rlT2bHpdfgdgIu76BgDAYAQ1AAAG49Q3YDBulAJAUAMGq+zaLzdKAQ0Hp74BADAYR9QAvHDK/VeMBXytQQX1yy+/rL///e/Kzs7Wddddp3nz5umWW27xdVloQM7371RXN1TO9vxzQ3s2+UIZC/5waHgaTFD/85//VFxcnF5++WXddNNNevXVV3XHHXdoz549uvzyy31dHhqIuvqd6uq+/GPDs6Oq1b+yZ5PP9r119WITX6nus+Dn+4+uynDfwtldjH/INJigTkpK0qhRo/TII49IkubNm6ePP/5YCxcuVGJioo+rQ0NX3QCs7ss/6uplIRfSS0cqG9OzvWe8On9sVDYWlf1R5KuguFCCq7rvha+s/ovxD5kGEdQlJSVKT0/XU0895dEeHR2tTZs2+agq4FcXUgBeKM42pudzrKsb4JUFUXX/oKirsyzVDca6Ut33wtdH8JryR06DCOqjR4+qrKxMLpfLo93lciknJ6fCdYqLi1VcXGzP5+fnS5IKCgpqXc+p0lKVFp3warfKyy6IdhNrov3ibjexpuq2l5RZCol+1Kt9V1Js9dozYqv3+dXtX8n3rps7XjdFD/JqP/RtlsLbR9S6fd/+LIVEV308M3dnVFhPZZ9TWX9Jcre+REteXeBda3au3HdN9G7/9//USRZIUmBgoBwOx9k7WQ3AkSNHLEnWpk2bPNr/+te/Wh07dqxwnZkzZ1qSmJiYmJiYztuUn59/zgxrEEfUISEhaty4sdfRc25urtdR9mnTpk3TpEmT7Pny8nIdOHBAXbt21aFDh9SqVavzWvPFpKCgQOHh4YxbNTFu1ceY1QzjVjN1MW6BgYHn7NMggrpp06bq1q2bUlNT9Yc//MFuT01N1eDBgytcx9/fX/7+/h5tjRr98n6YVq1asTPXAONWM4xb9TFmNcO41cz5HrcGEdSSNGnSJI0YMULdu3dXr169tGjRIh08eFBjx471dWkAAFSqwQT1vffeqx9//FGzZ89Wdna2IiMj9eGHH6pdu3a+Lg0AgEo1mKCWpHHjxmncuHE1Xt/f318zZ870OiWOs2PcaoZxqz7GrGYYt5qpr3FzWJZlnddvAAAANcavZwEAYDCCGgAAgxHUAAAYjKA+Q3x8vBwOh8fkdrvt5ZZlKT4+XmFhYWrevLmioqK0e/duH1bsG5988okGDhyosLAwORwOvfvuux7LqzJOxcXFio2NVUhIiAICAjRo0CAdPny4Hrei/p1r3B588EGv/e/GG2/06NPQxi0xMVE9evRQYGCg2rRpo7vvvlt79+716MP+5q0q48b+5mnhwoW6/vrr7eeie/XqpY8++she7qv9jKCuwHXXXafs7Gx72rVrl71szpw5SkpK0oIFC7Rlyxa53W71799fhYWFPqy4/p04cUJdunTRggXe78eVqjZOcXFxSklJUXJysjZu3Kjjx48rJiZGZWVl9bUZ9e5c4yZJt99+u8f+9+GHH3osb2jjlpaWpvHjx2vz5s1KTU3VqVOnFB0drRMnfn2fM/ubt6qMm8T+9ltt27bVs88+q61bt2rr1q267bbbNHjwYDuMfbaf1fI12hedmTNnWl26dKlwWXl5ueV2u61nn33Wbvv5558tp9NpvfLKK/VUoXkkWSkpKfZ8Vcbp2LFjlp+fn5WcnGz3OXLkiNWoUSNr1apV9Va7L505bpZlWSNHjrQGDx5c6TqMm2Xl5uZakqy0tDTLstjfqurMcbMs9reqCAoKsl5//XWf7mccUVdg3759CgsLU0REhIYNG6ZvvvlGkpSVlaWcnBxFR0fbff39/dWnTx9+LvM3qjJO6enpKi0t9egTFhamyMjIBj+WGzZsUJs2bXT11Vdr9OjRys3NtZcxbr/+kl1wcLAk9reqOnPcTmN/q1hZWZmSk5N14sQJ9erVy6f7GUF9hp49e+qNN97Qxx9/rNdee005OTnq3bu3fvzxR/tHParzc5kNUVXGKScnR02bNlVQUFClfRqiO+64Q2+++abWrVunF154QVu2bNFtt91m/+RqQx83y7I0adIk3XzzzYqMjJTE/lYVFY2bxP5WkV27dqlly5by9/fX2LFjlZKSok6dOvl0P2tQbyarijvuuMP+d+fOndWrVy9deeWVWrZsmX2TxZm/HWpZ1rl/T7QBqsk4NfSxvPfee+1/R0ZGqnv37mrXrp3+/e9/a8iQIZWu11DGbcKECdq5c6c2btzotYz9rXKVjRv7m7eOHTtqx44dOnbsmN5++22NHDlSaWlp9nJf7GccUZ9DQECAOnfurH379tl3f1fn5zIboqqMk9vtVklJifLy8irtAyk0NFTt2rXTvn37JDXscYuNjdX777+v9evXq23btnY7+9vZVTZuFWF/++XXFq+66ip1795diYmJ6tKli1588UWf7mcE9TkUFxcrMzNToaGhioiIkNvtVmpqqr28pKREaWlp6t27tw+rNEtVxqlbt27y8/Pz6JOdna2MjAzG8jd+/PFHHTp0SKGhoZIa5rhZlqUJEybonXfe0bp16xQREeGxnP2tYucat4qwv3mzLEvFxcW+3c9qfBvaRWry5MnWhg0brG+++cbavHmzFRMTYwUGBlrffvutZVmW9eyzz1pOp9N65513rF27dln33XefFRoaahUUFPi48vpVWFhobd++3dq+fbslyUpKSrK2b99uHThwwLKsqo3T2LFjrbZt21pr1qyxtm3bZt12221Wly5drFOnTvlqs867s41bYWGhNXnyZGvTpk1WVlaWtX79eqtXr17WZZdd1qDH7dFHH7WcTqe1YcMGKzs7255Onjxp92F/83aucWN/8zZt2jTrk08+sbKysqydO3daf/nLX6xGjRpZq1evtizLd/sZQX2Ge++91woNDbX8/PyssLAwa8iQIdbu3bvt5eXl5dbMmTMtt9tt+fv7W7///e+tXbt2+bBi31i/fr0lyWsaOXKkZVlVG6eioiJrwoQJVnBwsNW8eXMrJibGOnjwoA+2pv6cbdxOnjxpRUdHW5deeqnl5+dnXX755dbIkSO9xqShjVtF4yXJWrJkid2H/c3bucaN/c3bww8/bLVr185q2rSpdemll1p9+/a1Q9qyfLef8etZAAAYjGvUAAAYjKAGAMBgBDUAAAYjqAEAMBhBDQCAwQhqAAAMRlADAGAwghoAAIMR1ICh4uPj1bVr17P2iYqKUlxcXL3UU982bNggh8OhY8eO+boUwKcIasAADodD7777rq/LMErv3r2VnZ0tp9Pp61Jq7WL+gwrnH0ENoMZKSkrO22c3bdpUbrf7ov3dY6CqCGrgN6KiohQbG6u4uDgFBQXJ5XJp0aJFOnHihB566CEFBgbqyiuv1EcffWSvk5aWpt/97nfy9/dXaGionnrqKZ06dcrjMydOnKipU6cqODhYbrdb8fHx9vL27dtLkv7whz/I4XDY86ctX75c7du3l9Pp1LBhw1RYWFhh7bNnz1bnzp292rt166ZnnnnmnNv+4IMP6u6779asWbPUpk0btWrVSmPGjPEI46ioKE2YMEGTJk1SSEiI+vfvL0nas2eP7rzzTrVs2VIul0sjRozQ0aNHazWuZ576ruhSwLx58zzG6/Q2JCQkyOVy6ZJLLtGsWbN06tQpPfHEEwoODlbbtm31j3/845zjcdqTTz6pq6++Wi1atNAVV1yhGTNmqLS01Os7fysuLk5RUVH28rS0NL344otyOBxyOBz69ttvJZ173wEkghrwsmzZMoWEhOiLL75QbGysHn30Uf3xj39U7969tW3bNg0YMEAjRozQyZMndeTIEd15553q0aOHvvzySy1cuFCLFy/WX//6V6/PDAgI0Oeff645c+Zo9uzZ9m/WbtmyRZK0ZMkSZWdn2/OStH//fr377rv64IMP9MEHHygtLU3PPvtshXU//PDD2rNnj8f6O3fu1Pbt2/Xggw9WadvXrl2rzMxMrV+/Xm+99ZZSUlI0a9Ysr21p0qSJPv30U7366qvKzs5Wnz591LVrV23dulWrVq3S999/r6FDh9Z4XGtj3bp1+u677/TJJ58oKSlJ8fHxiomJUVBQkD7//HONHTtWY8eO1aFDh6r0eYGBgVq6dKn27NmjF198Ua+99prmzp1b5XpefPFF9erVS6NHj1Z2drays7MVHh5e5X0H4Gcugd/o06ePdfPNN9vzp06dsgICAqwRI0bYbdnZ2ZYk67PPPrP+8pe/WB07drTKy8vt5S+99JLVsmVLq6ysrMLPtCzL6tGjh/Xkk0/a85KslJQUjz4zZ860WrRo4fFbt0888YTVs2dPj3ofe+wxe/6OO+6wHn30UXs+Li7OioqKqtK2jxw50goODrZOnDhhty1cuNBrW7p27eqx3owZM6zo6GiPtkOHDlmSrL1799rrVWdcLevXnwTNy8uzx6NLly4e3zN37lyrXbt2HtvQrl07u17LsqyOHTtat9xyi9d3v/XWW1UalzPNmTPH6tatm8d3Dh482KPPY489ZvXp08eeP/O/k2VZVdp3AMuyLI6ogTNcf/319r8bN26s1q1be5xSdrlckqTc3FxlZmaqV69eHtdRb7rpJh0/flyHDx+u8DMlKTQ0VLm5ueespX379goMDKzyeqNHj9Zbb72ln3/+WaWlpXrzzTf18MMPn/N7TuvSpYtatGhhz/fq1UvHjx/3OPrs3r27xzrp6elav369WrZsaU/XXHONpF/OCJxWnXGtjeuuu06NGv36vzaXy+XxPae/u6rf87//+7+6+eab5Xa71bJlS82YMUMHDx6sVY2SqrzvAE18XQBgGj8/P495h8Ph0Xb6f6zl5eWyLMvrZifr///E+2/bK/rM8vLyGtVytvUGDhwof39/paSkyN/fX8XFxbrnnnvO+T3n8tttCQgI8FhWXl6ugQMH6rnnnvNaLzQ01P53dca1Io0aNbLH9rTfXiuu6vecbqvK+G/evFnDhg3TrFmzNGDAADmdTiUnJ+uFF16odl1nquq+AxDUQC106tRJb7/9tsf/dDdt2qTAwEBddtllVf4cPz8/lZWV1bqeJk2aaOTIkVqyZIn8/f01bNgwjyPkc/nyyy9VVFSk5s2bS/olqFq2bKm2bdtWus5//dd/6e2331b79u3VpMn5+1/KpZdeqpycHI+x3rFjx3n7Pkn69NNP1a5dO02fPt1uO3DggFddGRkZHm07duzw+OOgadOmXv9962rfwcWPU99ALYwbN06HDh1SbGysvvrqK7333nuaOXOmJk2a5HH69Vzat2+vtWvXKicnR3l5ebWq6ZFHHtG6dev00UcfVeu0t/TL41ajRo3Snj179NFHH2nmzJmaMGHCWbdl/Pjx+umnn3Tffffpiy++0DfffKPVq1fr4YcfrpM/Pk6LiorSDz/8oDlz5mj//v166aWXPO4SPx+uuuoqHTx4UMnJydq/f7/+53/+RykpKR59brvtNm3dulVvvPGG9u3bp5kzZ3oFd/v27fX555/r22+/1dGjR1VeXl5n+w4ufuwNQC1cdtll+vDDD/XFF1+oS5cuGjt2rEaNGqWnn366Wp/zwgsvKDU1VeHh4brhhhtqVVOHDh3Uu3dvdezYUT179qzWun379lWHDh30+9//XkOHDtXAgQM9HiWrSFhYmD799FOVlZVpwIABioyM1GOPPSan01mngXPttdfq5Zdf1ksvvaQuXbroiy++0JQpU+rs8ysyePBgPf7445owYYK6du2qTZs2acaMGR59BgwYoBkzZmjq1Knq0aOHCgsL9cADD3j0mTJliho3bqxOnTrp0ksv1cGDB+ts38HFz2GdeXEFwAXNsixdc801GjNmjCZNmlTl9R588EEdO3aMN6QBhuEaNXARyc3N1fLly3XkyBE99NBDvi4HQB0gqIGLiMvlUkhIiBYtWqSgoCCPZS1btqx0vfN9rddUCQkJSkhIqHDZLbfc0mDHBWbh1DfQQHz99deVLrvsssvsO70bkp9++kk//fRThcuaN2/O3dcwAkENAIDBuOsbAACDEdQAABiMoAYAwGAENQAABiOoAQAwGEENAIDBCGoAAAxGUAMAYLD/B1hgCHmeq/uYAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.displot(numerical['monthly_premium_auto'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 180, + "id": "9a86e7d8", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.displot(numerical['months_since_last_claim'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 181, + "id": "cd259ecb", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.displot(numerical['months_since_policy_inception'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 182, + "id": "97895740", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.displot(numerical['number_of_open_complaints'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 183, + "id": "cb87a19c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.displot(numerical['number_of_policies'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 184, + "id": "873986e0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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AgMWaFdRf+tKXdPr06Qbzz5w5oy996UtXXBQAAPiHZgX1hx9+qJqamgbzKysr9fHHH19xUQAA4B/CLqfxs88+6/x7165d8ng8zuuamhq9/PLLGjRoUNCKAwCgo7usoL7jjjskSS6XS3PmzAlYFh4erkGDBunRRx8NWnEAAHR0lxXUtbW1kqT4+HhlZ2crJiamRYpC21BdXa38/Hzn9bBhwxQWdlm/UgCAi2jWp+qxY8eCXQfaoPz8fCWvf05R3gEqO3VcGxdISUlJoS4LANqVZh/+vPzyy3r55ZdVVFTkHGmf99vf/vaKC0PbEOUdoB79Boe6DABot5oV1D/72c/08MMPa9SoUerbt69cLlew6wIAAGpmUG/cuFFbt27V7Nmzg10PAACoo1n3UVdVVWns2LHBrgUAANTTrKC+9957tWPHjmDXAgAA6mlWUH/xxRdatWqVxo0bp5SUFC1atChgao6MjAy5XC6lpqY684wxSktLU2xsrCIiIjR+/HgdPnw4YL3KykqlpKQoJiZGkZGRmj59uk6ePNmsGgAAsE2zgvrdd9/Vddddp06dOikvL09vv/22Mx06dOiyt5edna1Nmzbp2muvDZi/cuVKrVq1SuvWrVN2drZ8Pp8mTZqksrIyp01qaqp27typzMxM7d+/X+Xl5Zo2bVqjX3EKAEBb06zBZK+++mrQCigvL9ddd92lJ554Qj//+c+d+cYYrVmzRsuXL9eMGTMkSdu2bZPX69WOHTs0b948lZSUaPPmzXrqqac0ceJESdL27dsVFxenvXv3asqUKY2+Z2VlpSorK53XpaWlQesPAADBFPLHXC5YsEDf/OY3naA979ixY/L7/Zo8ebIzz+12a9y4cTpw4IAkKScnR+fOnQtoExsbq8TERKdNYzIyMuTxeJwpLi4uyL0CACA4mnVEffPNN1/w3ulXXnnlkraTmZmpt956S9nZ2Q2W+f1+SZLX6w2Y7/V69dFHHzltunTpoujo6AZtzq/fmGXLlgVcSy8tLSWsAQBWalZQX3fddQGvz507p0OHDikvL6/BwzqacuLECT3wwAPavXu3unbt2mS7+n8QGGMu+gUrF2vjdrvldrsvqU4AAEKpWUG9evXqRuenpaWpvLz8kraRk5OjoqIijRw50plXU1Oj1157TevWrdPRo0cl/eOouW/fvk6boqIi5yjb5/OpqqpKxcXFAUfVRUVF3OcNAGgXgnqN+nvf+94lf8/3hAkTlJubq0OHDjnTqFGjdNddd+nQoUP60pe+JJ/Ppz179jjrVFVVKSsrywnhkSNHKjw8PKBNYWGh8vLyCGoAQLsQ1GcSvv766xc8jV1XVFSUEhMTA+ZFRkaqV69ezvzU1FSlp6crISFBCQkJSk9PV7du3TRr1ixJksfj0dy5c7V48WL16tVLPXv21JIlS5SUlNRgcBoAAG1Rs4L6/O1S5xljVFhYqDfffFMPPfRQUAqTpKVLl6qiokLz589XcXGxRo8erd27dysqKspps3r1aoWFhWnmzJmqqKjQhAkTtHXrVnXu3DlodQAAECrNCmqPxxPwulOnTho6dKgefvjhgFulLte+ffsCXrtcLqWlpSktLa3Jdbp27aq1a9dq7dq1zX5fAABs1ayg3rJlS7DrAAAAjbiia9Q5OTnKz8+Xy+XS8OHDdf311werLgAAoGYGdVFRkb7zne9o37596tGjh4wxKikp0c0336zMzEz17t072HUCANAhNev2rJSUFJWWlurw4cP67LPPVFxcrLy8PJWWluoHP/hBsGsEAKDDatYR9UsvvaS9e/dq2LBhzrzhw4dr/fr1VzSYDAAABGrWEXVtba3Cw8MbzA8PD1dtbe0VFwUAAP6hWUF9yy236IEHHtAnn3zizPv444/1wx/+UBMmTAhacQAAdHTNOvW9bt063X777Ro0aJDi4uLkcrl0/PhxJSUlafv27cGuEW1AbW2NCgoKAuYNGzZMYWFB/fI7AOhwmvUpGhcXp7feekt79uzRe++9J2OMhg8fztd2dmBnP/1EGc99oZiBFZKkslPHtXGBlJSUFOLKAKBtu6ygfuWVV7Rw4UIdPHhQ3bt316RJkzRp0iRJUklJia655hpt3LhRX/va11qkWNgtsnd/9eg3ONRlAEC7clnXqNesWaP77rtP3bt3b7DM4/Fo3rx5WrVqVdCKg32qq6uVm5ur3NxcFRQUyBgT6pIAoF27rKB+5513dOuttza5fPLkycrJybniomCv/Px8Ja9/Tj/6/Tv6/zKz9EXFF6EuCQDatcs69X3q1KlGb8tyNhYWpk8//fSKi4I9qqurlZ+f77wuKCjQVX3i1KPfYJWdOhHCygCgY7isoO7Xr59yc3N19dVXN7r83XffVd++fYNSGOxw/gg6yjtAkuQ/8oY8gxggBgCt5bJOfX/jG9/QT3/6U33xRcPTnRUVFVqxYoWmTZsWtOJghyjvAPXoN1g9+g1WZC/+EAOA1nRZR9Q/+clP9Mwzz2jIkCFauHChhg4dKpfLpfz8fK1fv141NTVavnx5S9UKAECHc1lB7fV6deDAAd1///1atmyZM+LX5XJpypQpevzxx+X1elukUAAAOqLL/sKTgQMH6oUXXlBxcbH++te/yhijhIQERUdHt0R9AAB0aM3+fsfo6GjdcMMNwawFAADU06yHcgAAgNZBUAMAYDGCGgAAixHUAABYjKAGAMBiBDUAABZr9u1ZaF9qa2tUUFDgvB42bJjCwvj1AIBQ45MYkqSzn36ijOe+UMzACpWdOq6NC6SkpOY/fIPgB4Dg4JMTjsje/dWj3+CAkC0oKHC+KvZyBDv4AaCjIqjRQN2QvZLHWp4PfgBA8zGYDI06H7I81hIAQougBgDAYgQ1AAAWI6gBALAYQQ0AgMUIagAALEZQAwBgMYIaAACLEdQAAFiMoAYAwGIENQAAFiOoAQCwGEENAIDFCGoAACwW0qDesGGDrr32WnXv3l3du3fXmDFj9OKLLzrLjTFKS0tTbGysIiIiNH78eB0+fDhgG5WVlUpJSVFMTIwiIyM1ffp0nTx5srW7AgBAiwhpUPfv31+PPPKI3nzzTb355pu65ZZbdPvttzthvHLlSq1atUrr1q1Tdna2fD6fJk2apLKyMmcbqamp2rlzpzIzM7V//36Vl5dr2rRpqqmpCVW3AAAImpAG9W233aZvfOMbGjJkiIYMGaJf/OIXuuqqq3Tw4EEZY7RmzRotX75cM2bMUGJiorZt26bPP/9cO3bskCSVlJRo8+bNevTRRzVx4kRdf/312r59u3Jzc7V3794m37eyslKlpaUBEwAANrLmGnVNTY0yMzN19uxZjRkzRseOHZPf79fkyZOdNm63W+PGjdOBAwckSTk5OTp37lxAm9jYWCUmJjptGpORkSGPx+NMcXFxLdcxAACuQMiDOjc3V1dddZXcbreSk5O1c+dODR8+XH6/X5Lk9XoD2nu9XmeZ3+9Xly5dFB0d3WSbxixbtkwlJSXOdOLEiSD3CgCA4AgLdQFDhw7VoUOHdObMGT399NOaM2eOsrKynOUulyugvTGmwbz6LtbG7XbL7XZfWeEAALSCkB9Rd+nSRVdffbVGjRqljIwMjRgxQo899ph8Pp8kNTgyLioqco6yfT6fqqqqVFxc3GQbAADaspAHdX3GGFVWVio+Pl4+n0979uxxllVVVSkrK0tjx46VJI0cOVLh4eEBbQoLC5WXl+e0QejV1taooKBAubm5ys3NVXV1dahLAoA2I6Snvh988EFNnTpVcXFxKisrU2Zmpvbt26eXXnpJLpdLqampSk9PV0JCghISEpSenq5u3bpp1qxZkiSPx6O5c+dq8eLF6tWrl3r27KklS5YoKSlJEydODGXXUMfZTz9RxnNfKGZghcpOHdfGBVJSUlKoywKANiGkQX3q1CnNnj1bhYWF8ng8uvbaa/XSSy9p0qRJkqSlS5eqoqJC8+fPV3FxsUaPHq3du3crKirK2cbq1asVFhammTNnqqKiQhMmTNDWrVvVuXPnUHULjYjs3V89+g0OdRkA0OaENKg3b958weUul0tpaWlKS0trsk3Xrl21du1arV27NsjVAQAQetZdowYAAP9EUAMAYDGCGgAAixHUAABYjKAGAMBiBDUAABYjqAEAsBhBDQCAxQhqAAAsRlADAGAxghoAAIsR1AAAWIygBgDAYgQ1AAAWI6gBALAYQQ0AgMUIagAALEZQAwBgMYIaAACLEdQAAFiMoAYAwGIENQAAFgsLdQHtVXV1tfLz8wPmDRs2TGFh/MgBAJeO1Ggh+fn5Sl7/nKK8AyRJZaeOa+MCKSkpKcSVAQDaEoK6BUV5B6hHv8GhLgMA0IYR1K2ktrZGBQUFzmtOgwMALgVJ0UrOfvqJMp77QjEDKzgNDgC4ZAR1K4rs3b/BqXAGnQEALoQ0CDEGnQEALoSgtgCDzgAATSGoQ6DuwLKCggIZY4K27fqn0oO9fQBA6yKoQ6DuwDL/kTfkGRS809z1T6UHe/sAgNZFUIfI+YFlZadOBMwPxm1cdU+l198+AKBtIagtw21cAIC6CGoLNXYbFwCgYyKo24G6A8gYPAYA7QtBHUShCsy6A8gYPAYA7QtBHUTBDsy6A8uqq6slKWBgWd2BZucHkDF4DADaF4I6yIIZmPVv4wqLjFbMwARJfIMZAHQUBLXl6t7GFRYVwyAzAOhgOoW6AAAA0DSCGgAAixHUAABYLKRBnZGRoRtuuEFRUVHq06eP7rjjDh09ejSgjTFGaWlpio2NVUREhMaPH6/Dhw8HtKmsrFRKSopiYmIUGRmp6dOn6+TJk63ZFQAAWkRIgzorK0sLFizQwYMHtWfPHlVXV2vy5Mk6e/as02blypVatWqV1q1bp+zsbPl8Pk2aNEllZWVOm9TUVO3cuVOZmZnav3+/ysvLNW3aNNXU1ISiWwAABE1IR32/9NJLAa+3bNmiPn36KCcnR1//+tdljNGaNWu0fPlyzZgxQ5K0bds2eb1e7dixQ/PmzVNJSYk2b96sp556ShMnTpQkbd++XXFxcdq7d6+mTJnS4H0rKytVWVnpvC4tLW3BXgIA0HxWXaMuKSmRJPXs2VOSdOzYMfn9fk2ePNlp43a7NW7cOB04cECSlJOTo3PnzgW0iY2NVWJiotOmvoyMDHk8HmeKi4trqS4BAHBFrAlqY4wWLVqkr371q0pMTJQk+f1+SZLX6w1o6/V6nWV+v19dunRRdHR0k23qW7ZsmUpKSpzpxAm+zQsAYCdrvvBk4cKFevfdd7V///4Gy1wuV8BrY0yDefVdqI3b7Zbb7W5+sQAAtBIrjqhTUlL07LPP6tVXX1X//v2d+T6fT5IaHBkXFRU5R9k+n09VVVUqLi5usg0AAG1VSIPaGKOFCxfqmWee0SuvvKL4+PiA5fHx8fL5fNqzZ48zr6qqSllZWRo7dqwkaeTIkQoPDw9oU1hYqLy8PKcNAABtVUhPfS9YsEA7duzQH//4R0VFRTlHzh6PRxEREXK5XEpNTVV6eroSEhKUkJCg9PR0devWTbNmzXLazp07V4sXL1avXr3Us2dPLVmyRElJSc4ocAAA2qqQBvWGDRskSePHjw+Yv2XLFt19992SpKVLl6qiokLz589XcXGxRo8erd27dysqKsppv3r1aoWFhWnmzJmqqKjQhAkTtHXrVnXu3Lm1utLq6j4CszWffX2l6tYtBT6qEwDQUEg/IS8lXFwul9LS0pSWltZkm65du2rt2rVau3ZtEKuzW/1HYF7ps69bS926eVQnAFwchzJtWN1HYLYl5+sGAFycFaO+AQBA4ziiRsjUv14tcc0aAOrjExEhU/d6tSSVFh7T4ikFGjJkiCRCGwAkghohVvd6ddmpE8p47l0GmgFAHQQ1rMJAMwAIxGAyAAAsRlADAGAxghoAAIsR1AAAWIygBgDAYgQ1AAAWI6gBALAYQQ0AgMUIagAALEZQAwBgMYIaAACLEdQAAFiMoAYAwGIENQAAFiOoAQCwGEENAIDFCGoAACxGUAMAYLGwUBcANKa2tkYFBQXO62HDhiksjF9XAB0Pn3yw0tlPP1HGc18oZmCFyk4d18YFUlJSUqjLAoBWR1DDWpG9+6tHv8GhLgMAQopr1AAAWIygBgDAYgQ1AAAWI6gBALAYQQ0AgMUIagAALEZQAwBgMYIaAACLEdQAAFiMoAYAwGIENQAAFiOoAQCwGEENAIDFCGoAACxGUAMAYDGeRw3r1dbWqKCgIGDesGHDFBbGry+A9i+kR9SvvfaabrvtNsXGxsrlcukPf/hDwHJjjNLS0hQbG6uIiAiNHz9ehw8fDmhTWVmplJQUxcTEKDIyUtOnT9fJkydbsRdoaWc//UQZz72rH/3+Hf3o9+8oef1zys/PD3VZANAqQhrUZ8+e1YgRI7Ru3bpGl69cuVKrVq3SunXrlJ2dLZ/Pp0mTJqmsrMxpk5qaqp07dyozM1P79+9XeXm5pk2bppqamtbqBlpBZO/+6tFvsHr0G6zI3v1UUFCg3Nxc5ebmqrq6OtTlAUCLCem5w6lTp2rq1KmNLjPGaM2aNVq+fLlmzJghSdq2bZu8Xq927NihefPmqaSkRJs3b9ZTTz2liRMnSpK2b9+uuLg47d27V1OmTGl025WVlaqsrHRel5aWBrlnaEn/OML+QjEDK1R26rg2LpCSkpJCXRYAtAhrB5MdO3ZMfr9fkydPdua53W6NGzdOBw4ckCTl5OTo3LlzAW1iY2OVmJjotGlMRkaGPB6PM8XFxbVcR9Aizh9hR3kHhLoUAGhR1ga13++XJHm93oD5Xq/XWeb3+9WlSxdFR0c32aYxy5YtU0lJiTOdOHEiyNUDABAc1g+bdblcAa+NMQ3m1XexNm63W263Oyj1wR7V1dUNBpkxOhxAW2ftJ5jP55P0j6Pmvn37OvOLioqco2yfz6eqqioVFxcHHFUXFRVp7NixrVswQi4/P1/J659zTodz/RpAe2Dtqe/4+Hj5fD7t2bPHmVdVVaWsrCwnhEeOHKnw8PCANoWFhcrLyyOoO4jz91jn5uaqoKBAV/WJc0aHc/0aQHsQ0iPq8vJy/fWvf3VeHzt2TIcOHVLPnj01YMAApaamKj09XQkJCUpISFB6erq6deumWbNmSZI8Ho/mzp2rxYsXq1evXurZs6eWLFmipKQkZxQ42re6I8D9R96QZxBHzwDal5AG9Ztvvqmbb77Zeb1o0SJJ0pw5c7R161YtXbpUFRUVmj9/voqLizV69Gjt3r1bUVFRzjqrV69WWFiYZs6cqYqKCk2YMEFbt25V586dW70/CI3zI8DLTjEoEED7E9KgHj9+vIwxTS53uVxKS0tTWlpak226du2qtWvXau3atS1QIQAAoWXtYDLgStX/jnBGgANoi/jUQrvFN5gBaA8IarRr569fA0BbZe3tWQAAgKAGAMBqBDUAABYjqAEAsBhBDQCAxRj1jQ6Be6oBtFV8UqFD4J5qAG0VQY0Og3uqAbRFBDU6nPqnwSVOhQOwF59M6HDqngaXxKlwAFYjqNEhcRocQFvB7VkAAFiMI2qgCdXV1crPzw+Yx7VsAK2NTxygCfn5+Upe/5yivAMkcS0bQGgQ1Ojw6o4Cr66uliSFhYWpoKBAV/WJ41o2gJAiqNHh1R0F7j/yhsIioxUzMEH+I2/IM4ijZwChRVAD+uco8LJTJxQWFeP8GwBCjaAGLhHfFw4gFPiUAS4R3xcOIBQIauAy8EUpAFobX3gCAIDFCGoAACxGUAMAYDGCGgAAizGYDGgGbtUC0Fr4ZAGaoe6tWqWFx7R4SoGGDBkiKfBrSCVCHMCV4dMDaKa632aW8dy7ihlYIUkBX0PK/dYArhRBDQRB3fur634NKQBcKQaTAQBgMYIaAACLceobsEx1dbXy8/Od1wxGAzo2/vcDLag5t3Hl5+cref1zivIOaPZgNMIeaD/4nwu0oAvdxlU3POsGa0FBga7qE3fRwWgXCuO6YX+h9wVgP/63Ai2ssdu46odnQUGBVu1+T1G+gfIfeUOeQRc/gr7YkXeUd8BF31f6Z3BzFA7Yif+FQCu60L3XnkFJzrJLdT6Mm/u+dQM+GKfcAQQfQQ2ESP17rxtT/xp33W89KygokDHmit637vYv9ZQ7gNZFUAMWq3uNWwr81rO6p8jrB/qlhnjd7V/qKXcArYugBizX1Lee1T0KbyzQLzV0654WB2AfghpoJy7lVPqlqn+ELjHoDAgV/ncBaKD+EfqlDjq71BAn7IFL127+Zzz++OP61a9+pcLCQl1zzTVas2aNvva1r4W6LKDNqnuEXl9To80vdeR4a40wD8YfBHW3wSNMEQrt4jfsf/7nf5SamqrHH39cN910k379619r6tSpOnLkiAYMGBDq8oA2r/7o8PMD1RobxHZ+5HjdZfUDrql2UtOn2JtaVn/bdds15w+C+u9b/x73ph5h2pxAv9I/JOqvzx8S7VO72IOrVq3S3Llzde+990qS1qxZo127dmnDhg3KyMgIcXVA29fU6PALDWKrv875gLtQu6ZOsUsK+LKWpsKzsXZN/UEgNR5k9d+3/j3uTT3CtO56dWu60JfMXOllhMZqbex9L/THzIU05w+JlryscaE/3pq7jbbwx4zd1V2Cqqoq5eTk6Mc//nHA/MmTJ+vAgQONrlNZWanKykrndUlJiSSptLT0imopLy9X8YkCVVdWqNT/kcJKSxTe+R/L6r5u6t8drZ0NNdD3y2jXrYeqKytUc65KpR//7Z/t/t98SU0uqzlXJVdV5UXbVVd9oUOHDqm8vFx//etfVV31hbNOWdHHWrbpfXm8/fTZR++pe7+hiohuuO3G2tVUfaFT7+Vo2Rufy+PtJ0mqKC7Sf8wcr6uvvjrg/3H9921Q6//7uZQVndChQ0bl5eUN1qtbU9166r9v3XXq9v389n75u32KiO5zWbU29r6fffSeOneNumjf67uUGoKxzqWqu+3L6ceF6nviwXt1zTXXBKW+qKgouVyuoGwrgGnjPv74YyPJ/PnPfw6Y/4tf/MIMGTKk0XVWrFhhJDExMTExMQVtKikpaZGca/NH1OfV/yvGGNPkXzbLli3TokWLnNe1tbX67LPP1KtXryv6a6i0tFRxcXE6ceKEunfv3uzttEX0nb7T946jI/ddarr/UVFRLfJ+bT6oY2Ji1LlzZ/n9/oD5RUVF8nq9ja7jdrvldrsD5vXo0SNoNXXv3r1D/vJK9J2+dzz0vWP2XWq9/ndq8XdoYV26dNHIkSO1Z8+egPl79uzR2LFjQ1QVAADB0eaPqCVp0aJFmj17tkaNGqUxY8Zo06ZNOn78uJKTk0NdGgAAV6RdBPWdd96p06dP6+GHH1ZhYaESExP1wgsvaODAga1ah9vt1ooVKxqcVu8I6Dt972joe8fsu9T6/XcZ04zn5AEAgFbR5q9RAwDQnhHUAABYjKAGAMBiBDUAABYjqIPo8ccfV3x8vLp27aqRI0fqT3/6U6hLuiJpaWlyuVwBk8/nc5YbY5SWlqbY2FhFRERo/PjxOnz4cMA2KisrlZKSopiYGEVGRmr69Ok6efJka3flol577TXddtttio2Nlcvl0h/+8IeA5cHqa3FxsWbPni2PxyOPx6PZs2frzJkzLdy7C7tY3+++++4Gvwc33nhjQJu22veMjAzdcMMNioqKUp8+fXTHHXfo6NGjAW3a676/lL63132/YcMGXXvttc4XlowZM0Yvvviis9y6fd4iX0zaAWVmZprw8HDzxBNPmCNHjpgHHnjAREZGmo8++ijUpTXbihUrzDXXXGMKCwudqaioyFn+yCOPmKioKPP000+b3Nxcc+edd5q+ffua0tJSp01ycrLp16+f2bNnj3nrrbfMzTffbEaMGGGqq6tD0aUmvfDCC2b58uXm6aefNpLMzp07A5YHq6+33nqrSUxMNAcOHDAHDhwwiYmJZtq0aa3VzUZdrO9z5swxt956a8DvwenTpwPatNW+T5kyxWzZssXk5eWZQ4cOmW9+85tmwIABpry83GnTXvf9pfS9ve77Z5991jz//PPm6NGj5ujRo+bBBx804eHhJi8vzxhj3z4nqIPkK1/5iklOTg6Y9y//8i/mxz/+cYgqunIrVqwwI0aMaHRZbW2t8fl85pFHHnHmffHFF8bj8ZiNGzcaY4w5c+aMCQ8PN5mZmU6bjz/+2HTq1Mm89NJLLVr7lagfVsHq65EjR4wkc/DgQafN66+/biSZ9957r4V7dWmaCurbb7+9yXXaS9+NMaaoqMhIMllZWcaYjrXv6/fdmI6176Ojo81vfvMbK/c5p76D4PyjNidPnhww/0KP2mwr3n//fcXGxio+Pl7f+c539MEHH0iSjh07Jr/fH9Bnt9utcePGOX3OycnRuXPnAtrExsYqMTGxTf1cgtXX119/XR6PR6NHj3ba3HjjjfJ4PNb/PPbt26c+ffpoyJAhuu+++1RUVOQsa099P//I2549e0rqWPu+ft/Pa+/7vqamRpmZmTp79qzGjBlj5T4nqIPg73//u2pqaho8BMTr9TZ4WEhbMnr0aD355JPatWuXnnjiCfn9fo0dO1anT592+nWhPvv9fnXp0kXR0dFNtmkLgtVXv9+vPn36NNh+nz59rP55TJ06Vf/1X/+lV155RY8++qiys7N1yy23OM90by99N8Zo0aJF+upXv6rExERJHWffN9Z3qX3v+9zcXF111VVyu91KTk7Wzp07NXz4cCv3ebv4ClFbXM6jNtuCqVOnOv9OSkrSmDFjNHjwYG3bts0ZUNKcPrfVn0sw+tpYe9t/Hnfeeafz78TERI0aNUoDBw7U888/rxkzZjS5Xlvr+8KFC/Xuu+9q//79DZa1933fVN/b874fOnSoDh06pDNnzujpp5/WnDlzlJWV5Sy3aZ9zRB0EzXnUZlsUGRmppKQkvf/++87o7wv12efzqaqqSsXFxU22aQuC1Vefz6dTp0412P6nn37apn4effv21cCBA/X+++9Lah99T0lJ0bPPPqtXX31V/fv3d+Z3hH3fVN8b0572fZcuXXT11Vdr1KhRysjI0IgRI/TYY49Zuc8J6iDoKI/arKysVH5+vvr27av4+Hj5fL6APldVVSkrK8vp88iRIxUeHh7QprCwUHl5eW3q5xKsvo4ZM0YlJSV64403nDZ/+ctfVFJS0qZ+HqdPn9aJEyfUt29fSW2778YYLVy4UM8884xeeeUVxcfHByxvz/v+Yn1vTHva9/UZY1RZWWnnPr+soWdo0vnbszZv3myOHDliUlNTTWRkpPnwww9DXVqzLV682Ozbt8988MEH5uDBg2batGkmKirK6dMjjzxiPB6PeeaZZ0xubq757ne/2+gtDP379zd79+41b731lrnlllusvD2rrKzMvP322+btt982ksyqVavM22+/7dxeF6y+3nrrrebaa681r7/+unn99ddNUlJSyG9RulDfy8rKzOLFi82BAwfMsWPHzKuvvmrGjBlj+vXr1y76fv/99xuPx2P27dsXcAvS559/7rRpr/v+Yn1vz/t+2bJl5rXXXjPHjh0z7777rnnwwQdNp06dzO7du40x9u1zgjqI1q9fbwYOHGi6dOlivvzlLwfc5tAWnb93MDw83MTGxpoZM2aYw4cPO8tra2vNihUrjM/nM26323z96183ubm5AduoqKgwCxcuND179jQRERFm2rRp5vjx463dlYt69dVXjaQG05w5c4wxwevr6dOnzV133WWioqJMVFSUueuuu0xxcXEr9bJxF+r7559/biZPnmx69+5twsPDzYABA8ycOXMa9Kut9r2xfksyW7Zscdq0131/sb63531/zz33OJ/VvXv3NhMmTHBC2hj79jmPuQQAwGJcowYAwGIENQAAFiOoAQCwGEENAIDFCGoAACxGUAMAYDGCGgAAixHUAABYjKAGLHD33XfrjjvuuOLtfPjhh3K5XDp06FCrvzeAlkFQA00YP368UlNTW3ydUHvssce0devWUJdhreb88QMEE8+jBjo4j8cT6hIAXABH1EAj7r77bmVlZemxxx6Ty+WSy+XShx9+qKysLH3lK1+R2+1W37599eMf/1jV1dUXXKempkZz585VfHy8IiIiNHToUD322GPNrq22tla//OUvdfXVV8vtdmvAgAH6xS9+0WjbS3nv+qe+x48fr5SUFKWmpio6Olper1ebNm3S2bNn9f3vf19RUVEaPHiwXnzxxUuq93JqSE9Pl9frVY8ePfSzn/1M1dXV+tGPfqSePXuqf//++u1vfxuwXm5urm655RZFRESoV69e+vd//3eVl5cH9KX+GY477rhDd999t/N60KBBSk9P1z333KOoqCgNGDBAmzZtcpaff/zj9ddfL5fLpfHjx19Sv4FgIaiBRjz22GMaM2aM7rvvPhUWFqqwsFDh4eH6xje+oRtuuEHvvPOONmzYoM2bN+vnP/95k+vExcWptrZW/fv31+9+9zsdOXJEP/3pT/Xggw/qd7/7XbNqW7ZsmX75y1/qoYce0pEjR7Rjx44mH0Tf3Pfetm2bYmJi9MYbbyglJUX333+/vv3tb2vs2LF66623NGXKFM2ePVuff/75Reu91BpeeeUVffLJJ3rttde0atUqpaWladq0aYqOjtZf/vIXJScnKzk5WSdOnJAkff7557r11lsVHR2t7Oxs/e///q/27t2rhQsXXuJP8p8effRRjRo1Sm+//bbmz5+v+++/X++9954kOc8T3rt3rwoLC/XMM89c9vaBK9KMJ4QBHcK4cePMAw884Lx+8MEHzdChQ01tba0zb/369eaqq64yNTU1ja7TlPnz55t//dd/dV7PmTPH3H777Rddr7S01LjdbvPEE080uvzYsWNGknn77beb/d7jxo0zX/3qV53X1dXVJjIy0syePduZV1hYaCSZ119//aI1X2oNAwcOdH6OxhgzdOhQ87Wvfa1BHf/93/9tjDFm06ZNJjo62pSXlzttnn/+edOpUyfj9/udvtTfH7fffrvz+FJjjBk4cKD53ve+57yura01ffr0MRs2bDDGXNrPFGhJXKMGLlF+fr7GjBkjl8vlzLvppptUXl6ukydPasCAAU2uu3HjRv3mN7/RRx99pIqKClVVVem6665rVg2VlZWaMGHCJa/TnPe+9tprnX937txZvXr1UlJSkjPv/BF8UVFR0Gq45ppr1KnTP0/yeb1eJSYmNqjj/Hvm5+drxIgRioyMdNrcdNNNqq2t1dGjR5s8y3Cx/rpcLvl8vkvuG9DSOPUNXCJjTEBIn58nqcH8un73u9/phz/8oe655x7t3r1bhw4d0ve//31VVVVddg0RERGX1b657x0eHh7w2uVyBcw739/a2tqg1XCx9zw/7/x7NrY/6tfXqVMnZx+dd+7cuQbtL/Q+QKhxRA00oUuXLqqpqXFeDx8+XE8//XRAQBw4cEBRUVHq169fo+tI0p/+9CeNHTtW8+fPd+b97W9/a1ZNCQkJioiI0Msvv6x77733ou2D+d7N1VI1DB8+XNu2bdPZs2edo+o///nP6tSpk4YMGSJJ6t27twoLC511ampqlJeXp5tvvvmS36dLly7OukAocEQNNGHQoEH6y1/+og8//FB///vfNX/+fJ04cUIpKSl677339Mc//lErVqzQokWLnFO29depra3V1VdfrTfffFO7du1SQUGBHnroIWVnZzerpq5du+o//uM/tHTpUj355JP629/+poMHD2rz5s2Ntg/mezdXS9Vw1113qWvXrpozZ47y8vL06quvKiUlRbNnz3ZOe99yyy16/vnn9fzzz+u9997T/PnzdebMmct6nz59+igiIkIvvfSSTp06pZKSkiuuHbgcBDXQhCVLlqhz584aPny4evfurXPnzumFF17QG2+8oREjRig5OVlz587VT37ykybXOX78uJKTkzVjxgzdeeedGj16tE6fPh1wdHm5HnroIS1evFg//elPNWzYMN15551NXk8N9ns3R0vV0K1bN+3atUufffaZbrjhBn3rW9/ShAkTtG7dOqfNPffcozlz5ujf/u3fNG7cOMXHx1/W0bQkhYWF6T//8z/161//WrGxsbr99tuvuHbgcrhM/Qs4AADAGhxRAwBgMYIasMjx48d11VVXNTkdP3481CU2kJyc3GS9ycnJoS4PaPM49Q1YpLq6Wh9++GGTywcNGqSwMLtu1igqKlJpaWmjy7p3764+ffq0ckVA+0JQAwBgMU59AwBgMYIaAACLEdQAAFiMoAYAwGIENQAAFiOoAQCwGEENAIDF/n86xYNTFaEy4gAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.displot(numerical['total_claim_amount'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 185, + "id": "4c53e526", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.displot(numerical['month'])\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "2c170f7b", + "metadata": {}, + "source": [ + "Use Matplotlib to construct histograms" + ] + }, + { + "cell_type": "code", + "execution_count": 186, + "id": "9fdc28da", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['customer_lifetime_value', 'income', 'monthly_premium_auto',\n", + " 'months_since_last_claim', 'months_since_policy_inception',\n", + " 'number_of_open_complaints', 'number_of_policies', 'total_claim_amount',\n", + " 'month'],\n", + " dtype='object')" + ] + }, + "execution_count": 186, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "numerical.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 187, + "id": "e29c7c29", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(df['customer_lifetime_value'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 188, + "id": "1f514daf", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(df['monthly_premium_auto'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 190, + "id": "e4b41d92", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(df['months_since_last_claim'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 191, + "id": "44445b5e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(df['months_since_policy_inception'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 192, + "id": "4449b1c5", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(df['number_of_open_complaints'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 193, + "id": "72fc79b4", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(df['number_of_policies'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 194, + "id": "b19b82fc", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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QbW2tcnNzJUm1tbXy+/06cuSIhg0b9oNra21tleM4CoVCSklJ6e5LvKw7V27t8edEtC/XTo/1EgAAP6Lr+ff7mt7TEwqFJEmpqamSpIaGBgWDQeXl5bkziYmJGj9+vKqrqyVJdXV1OnfuXMSMz+dTdna2O1NTUyPHcdzgkaSxY8fKcRx3BgAAoCviuvtAY4yWLl2qe++9V9nZ2ZKkYDAoSUpPT4+YTU9P11dffeXOJCQkqH///lEzFx4fDAaVlpYW9TvT0tLcmYuFw2GFw2H359bW1m6+MgAAcDPq9pWeRYsW6bPPPtNf//rXqPs8Hk/Ez8aYqGMXu3jmUvNXep6SkhL3Tc+O4ygjI+NqXgYAALBEt6Jn8eLFeu+997Rjxw4NGTLEPe71eiUp6mpMc3Oze/XH6/Wqo6NDLS0tV5w5ceJE1O89efJk1FWkC1atWqVQKOTeGhsbu/PSAADATapL0WOM0aJFi/TOO+/oww8/VGZmZsT9mZmZ8nq9qqysdI91dHSoqqpK48aNkyTl5OQoPj4+YqapqUkHDhxwZ/x+v0KhkPbs2ePO7N69W6FQyJ25WGJiolJSUiJuAAAAF3TpPT1PPPGE3nrrLf39739XcnKye0XHcRz17dtXHo9HRUVFKi4uVlZWlrKyslRcXKx+/fqpsLDQnZ07d66WLVumAQMGKDU1VcuXL9fIkSM1adIkSdLw4cM1depUzZs3Txs3bpQkzZ8/X/n5+Vf1yS0AAICLdSl6NmzYIEmaMGFCxPHXXntNjzzyiCRpxYoVam9v18KFC9XS0qLc3Fxt375dycnJ7vwLL7yguLg4zZw5U+3t7Zo4caI2b96sPn36uDNbtmzRkiVL3E95FRQUqLS0tDuvEQAA4Nq+p6c343t6bg58Tw8A2KXXfk8PAADAjYLoAQAAViB6AACAFYgeAABgBaIHAABYgegBAABWIHoAAIAViB4AAGAFogcAAFiB6AEAAFYgegAAgBWIHgAAYAWiBwAAWIHoAQAAViB6AACAFYgeAABgBaIHAABYgegBAABWIHoAAIAViB4AAGAFogcAAFiB6AEAAFYgegAAgBWIHgAAYAWiBwAAWIHoAQAAViB6AACAFYgeAABgBaIHAABYgegBAABWIHoAAIAViB4AAGAFogcAAFiB6AEAAFYgegAAgBWIHgAAYAWiBwAAWIHoAQAAViB6AACAFYgeAABgBaIHAABYgegBAABWIHoAAIAViB4AAGAFogcAAFghLtYLAK7kzpVbY72ELvty7fRYLwEAcAlc6QEAAFYgegAAgBWIHgAAYAWiBwAAWIHoAQAAViB6AACAFYgeAABgBaIHAABYgegBAABWIHoAAIAViB4AAGAFogcAAFiB6AEAAFYgegAAgBWIHgAAYAWiBwAAWIHoAQAAViB6AACAFbocPR999JEefPBB+Xw+eTwevfvuuxH3G2O0Zs0a+Xw+9e3bVxMmTNDBgwcjZsLhsBYvXqyBAwcqKSlJBQUFOnbsWMRMS0uLAoGAHMeR4zgKBAI6ffp0l18gAACA1I3oOXv2rEaPHq3S0tJL3r9u3TqtX79epaWl2rt3r7xeryZPnqy2tjZ3pqioSOXl5SorK9OuXbt05swZ5efnq7Oz050pLCxUfX29KioqVFFRofr6egUCgW68RAAAAMljjDHdfrDHo/Lycs2YMUPS91d5fD6fioqK9NRTT0n6/qpOenq6nnvuOT322GMKhUIaNGiQ3njjDc2aNUuSdPz4cWVkZGjbtm2aMmWKDh8+rBEjRqi2tla5ubmSpNraWvn9fh05ckTDhg37wbW1trbKcRyFQiGlpKR09yVe1p0rt/b4c+Lm8OXa6bFeAgDcsK7n3+8efU9PQ0ODgsGg8vLy3GOJiYkaP368qqurJUl1dXU6d+5cxIzP51N2drY7U1NTI8dx3OCRpLFjx8pxHHfmYuFwWK2trRE3AACAC3o0eoLBoCQpPT094nh6erp7XzAYVEJCgvr373/FmbS0tKjnT0tLc2cuVlJS4r7/x3EcZWRkXPPrAQAAN4/r8uktj8cT8bMxJurYxS6eudT8lZ5n1apVCoVC7q2xsbEbKwcAADerHo0er9crSVFXY5qbm92rP16vVx0dHWppabnizIkTJ6Ke/+TJk1FXkS5ITExUSkpKxA0AAOCCHo2ezMxMeb1eVVZWusc6OjpUVVWlcePGSZJycnIUHx8fMdPU1KQDBw64M36/X6FQSHv27HFndu/erVAo5M4AAAB0RVxXH3DmzBn961//cn9uaGhQfX29UlNTdccdd6ioqEjFxcXKyspSVlaWiouL1a9fPxUWFkqSHMfR3LlztWzZMg0YMECpqalavny5Ro4cqUmTJkmShg8frqlTp2revHnauHGjJGn+/PnKz8+/qk9uAQAAXKzL0fPJJ5/o/vvvd39eunSpJGnOnDnavHmzVqxYofb2di1cuFAtLS3Kzc3V9u3blZyc7D7mhRdeUFxcnGbOnKn29nZNnDhRmzdvVp8+fdyZLVu2aMmSJe6nvAoKCi773UAAAAA/5Jq+p6c343t6ECt8Tw8AdN8N8z09AAAAvRXRAwAArED0AAAAKxA9AADACkQPAACwAtEDAACsQPQAAAArED0AAMAKRA8AALAC0QMAAKxA9AAAACsQPQAAwApEDwAAsALRAwAArED0AAAAKxA9AADACkQPAACwAtEDAACsQPQAAAArED0AAMAKRA8AALAC0QMAAKxA9AAAACsQPQAAwApEDwAAsALRAwAArED0AAAAKxA9AADACkQPAACwAtEDAACsQPQAAAArED0AAMAKRA8AALAC0QMAAKxA9AAAACsQPQAAwApEDwAAsALRAwAArED0AAAAK8TFegHAzebOlVtjvYQu+3Lt9FgvAQCuO670AAAAKxA9AADACkQPAACwAtEDAACsQPQAAAArED0AAMAKRA8AALAC0QMAAKxA9AAAACsQPQAAwApEDwAAsALRAwAArED0AAAAKxA9AADACnGxXgCA2Ltz5dZYL6HLvlw7PdZLAHCD4UoPAACwAtEDAACsQPQAAAArED0AAMAKRA8AALAC0QMAAKxA9AAAACsQPQAAwAq9PnpeeuklZWZm6tZbb1VOTo4+/vjjWC8JAADcgHp19Pztb39TUVGRnnnmGe3bt0+/+c1vNG3aNH399dexXhoAALjBeIwxJtaLuJzc3Fzdfffd2rBhg3ts+PDhmjFjhkpKSq742NbWVjmOo1AopJSUlB5f2434tf0AYot/OgP4Ydfz73ev/be3Ojo6VFdXp5UrV0Ycz8vLU3V1ddR8OBxWOBx2fw6FQpK+37zr4Xz42+vyvABuXnf8n/+N9RKscODZKbFeAq7Bhb/b1+OaTK+Nnm+++UadnZ1KT0+POJ6enq5gMBg1X1JSomeffTbqeEZGxnVbIwCg93H+EOsVoCe0tbXJcZwefc5eGz0XeDyeiJ+NMVHHJGnVqlVaunSp+/P58+f1n//8RwMGDLjk/LVobW1VRkaGGhsbr8v/OrtZsW/dw751D/vWdexZ97Bv3XO5fTPGqK2tTT6fr8d/Z6+NnoEDB6pPnz5RV3Wam5ujrv5IUmJiohITEyOO/eQnP7meS1RKSgoneDewb93DvnUP+9Z17Fn3sG/dc6l96+krPBf02k9vJSQkKCcnR5WVlRHHKysrNW7cuBitCgAA3Kh67ZUeSVq6dKkCgYDGjBkjv9+vl19+WV9//bUWLFgQ66UBAIAbTK+OnlmzZunUqVP6/e9/r6amJmVnZ2vbtm0aOnRoTNeVmJio1atXR/3vNFwZ+9Y97Fv3sG9dx551D/vWPbHYt179PT0AAAA9pde+pwcAAKAnET0AAMAKRA8AALAC0QMAAKxA9HTRSy+9pMzMTN16663KycnRxx9/HOslxcyaNWvk8Xgibl6v173fGKM1a9bI5/Opb9++mjBhgg4ePBjxHOFwWIsXL9bAgQOVlJSkgoICHTt27Md+KdfVRx99pAcffFA+n08ej0fvvvtuxP09tU8tLS0KBAJyHEeO4ygQCOj06dPX+dVdPz+0b4888kjU+Td27NiIGRv3raSkRPfcc4+Sk5OVlpamGTNm6OjRoxEznHPRrmbfOOeibdiwQaNGjXK/YNDv9+v999937+9155rBVSsrKzPx8fFm06ZN5tChQ+bJJ580SUlJ5quvvor10mJi9erV5pe//KVpampyb83Nze79a9euNcnJyebtt982+/fvN7NmzTKDBw82ra2t7syCBQvM7bffbiorK82nn35q7r//fjN69Gjz3XffxeIlXRfbtm0zzzzzjHn77beNJFNeXh5xf0/t09SpU012draprq421dXVJjs72+Tn5/9YL7PH/dC+zZkzx0ydOjXi/Dt16lTEjI37NmXKFPPaa6+ZAwcOmPr6ejN9+nRzxx13mDNnzrgznHPRrmbfOOeivffee2br1q3m6NGj5ujRo+bpp5828fHx5sCBA8aY3neuET1d8Otf/9osWLAg4tgvfvELs3LlyhitKLZWr15tRo8efcn7zp8/b7xer1m7dq177L///a9xHMf8+c9/NsYYc/r0aRMfH2/KysrcmX//+9/mlltuMRUVFdd17bFy8R/vntqnQ4cOGUmmtrbWnampqTGSzJEjR67zq7r+Lhc9Dz300GUfw759r7m52UgyVVVVxhjOuat18b4Zwzl3tfr3729eeeWVXnmu8b+3rlJHR4fq6uqUl5cXcTwvL0/V1dUxWlXsff755/L5fMrMzNRvf/tbffHFF5KkhoYGBYPBiP1KTEzU+PHj3f2qq6vTuXPnImZ8Pp+ys7Ot2dOe2qeamho5jqPc3Fx3ZuzYsXIc56bey507dyotLU0///nPNW/ePDU3N7v3sW/fC4VCkqTU1FRJnHNX6+J9u4Bz7vI6OztVVlams2fPyu/398pzjei5St988406Ozuj/rHT9PT0qH8U1Ra5ubn6y1/+on/+85/atGmTgsGgxo0bp1OnTrl7cqX9CgaDSkhIUP/+/S87c7PrqX0KBoNKS0uLev60tLSbdi+nTZumLVu26MMPP9Tzzz+vvXv36oEHHlA4HJbEvknfv59i6dKluvfee5WdnS2Jc+5qXGrfJM65y9m/f79uu+02JSYmasGCBSovL9eIESN65bnWq/8Zit7I4/FE/GyMiTpmi2nTprn/PXLkSPn9fv3sZz/T66+/7r65rzv7ZeOe9sQ+XWr+Zt7LWbNmuf+dnZ2tMWPGaOjQodq6dasefvjhyz7Opn1btGiRPvvsM+3atSvqPs65y7vcvnHOXdqwYcNUX1+v06dP6+2339acOXNUVVXl3t+bzjWu9FylgQMHqk+fPlFV2dzcHFWxtkpKStLIkSP1+eefu5/iutJ+eb1edXR0qKWl5bIzN7ue2iev16sTJ05EPf/Jkyet2cvBgwdr6NCh+vzzzyWxb4sXL9Z7772nHTt2aMiQIe5xzrkru9y+XQrn3PcSEhJ01113acyYMSopKdHo0aP14osv9spzjei5SgkJCcrJyVFlZWXE8crKSo0bNy5Gq+pdwuGwDh8+rMGDByszM1Nerzdivzo6OlRVVeXuV05OjuLj4yNmmpqadODAAWv2tKf2ye/3KxQKac+ePe7M7t27FQqFrNnLU6dOqbGxUYMHD5Zk774ZY7Ro0SK98847+vDDD5WZmRlxP+fcpf3Qvl0K59ylGWMUDod757nWpbc9W+7CR9ZfffVVc+jQIVNUVGSSkpLMl19+GeulxcSyZcvMzp07zRdffGFqa2tNfn6+SU5Odvdj7dq1xnEc884775j9+/eb3/3ud5f8qOKQIUPMBx98YD799FPzwAMP3HQfWW9razP79u0z+/btM5LM+vXrzb59+9yvOuipfZo6daoZNWqUqampMTU1NWbkyJE37MdgjbnyvrW1tZlly5aZ6upq09DQYHbs2GH8fr+5/fbbrd+3xx9/3DiOY3bu3Bnx0epvv/3WneGci/ZD+8Y5d2mrVq0yH330kWloaDCfffaZefrpp80tt9xitm/fbozpfeca0dNFf/rTn8zQoUNNQkKCufvuuyM+zmibC9+3EB8fb3w+n3n44YfNwYMH3fvPnz9vVq9ebbxer0lMTDT33Xef2b9/f8RztLe3m0WLFpnU1FTTt29fk5+fb77++usf+6VcVzt27DCSom5z5swxxvTcPp06dcrMnj3bJCcnm+TkZDN79mzT0tLyI73Knnelffv2229NXl6eGTRokImPjzd33HGHmTNnTtSe2Lhvl9ozSea1115zZzjnov3QvnHOXdqjjz7q/k0cNGiQmThxohs8xvS+c81jjDFduzYEAABw4+E9PQAAwApEDwAAsALRAwAArED0AAAAKxA9AADACkQPAACwAtEDAACsQPQAAAArED0AAMAKRA8AALAC0QMAAKxA9AAAACv8X4qzalc/38keAAAAAElFTkSuQmCC", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(df['total_claim_amount'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 195, + "id": "5d85d963", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(df['month'])\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "4f4a2ac1", + "metadata": {}, + "source": [ + "Do the distributions for different numerical variables look like a normal distribution\n" + ] + }, + { + "cell_type": "markdown", + "id": "82e18488", + "metadata": {}, + "source": [ + "it doesn't look like a normal distribution maybe a bit this one:" + ] + }, + { + "cell_type": "code", + "execution_count": 196, + "id": "be2328b6", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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customer_lifetime_valueincomemonthly_premium_automonths_since_last_claimmonths_since_policy_inceptionnumber_of_open_complaintsnumber_of_policiestotal_claim_amountmonth
customer_lifetime_value1.0000000.0243660.3962620.0115170.009418-0.0363430.0219550.226451-0.006096
income0.0243661.000000-0.016665-0.026715-0.0008750.006408-0.008656-0.3552540.000169
monthly_premium_auto0.396262-0.0166651.0000000.0050260.020257-0.013122-0.0112330.6320170.011467
months_since_last_claim0.011517-0.0267150.0050261.000000-0.0429590.0053540.0091360.007563-0.020921
months_since_policy_inception0.009418-0.0008750.020257-0.0429591.000000-0.001158-0.0133330.0033350.011010
number_of_open_complaints-0.0363430.006408-0.0131220.005354-0.0011581.0000000.001498-0.014241-0.006335
number_of_policies0.021955-0.008656-0.0112330.009136-0.0133330.0014981.000000-0.0023540.009305
total_claim_amount0.226451-0.3552540.6320170.0075630.003335-0.014241-0.0023541.0000000.006820
month-0.0060960.0001690.011467-0.0209210.011010-0.0063350.0093050.0068201.000000
\n", + "
" + ], + "text/plain": [ + " customer_lifetime_value income \\\n", + "customer_lifetime_value 1.000000 0.024366 \n", + "income 0.024366 1.000000 \n", + "monthly_premium_auto 0.396262 -0.016665 \n", + "months_since_last_claim 0.011517 -0.026715 \n", + "months_since_policy_inception 0.009418 -0.000875 \n", + "number_of_open_complaints -0.036343 0.006408 \n", + "number_of_policies 0.021955 -0.008656 \n", + "total_claim_amount 0.226451 -0.355254 \n", + "month -0.006096 0.000169 \n", + "\n", + " monthly_premium_auto months_since_last_claim \\\n", + "customer_lifetime_value 0.396262 0.011517 \n", + "income -0.016665 -0.026715 \n", + "monthly_premium_auto 1.000000 0.005026 \n", + "months_since_last_claim 0.005026 1.000000 \n", + "months_since_policy_inception 0.020257 -0.042959 \n", + "number_of_open_complaints -0.013122 0.005354 \n", + "number_of_policies -0.011233 0.009136 \n", + "total_claim_amount 0.632017 0.007563 \n", + "month 0.011467 -0.020921 \n", + "\n", + " months_since_policy_inception \\\n", + "customer_lifetime_value 0.009418 \n", + "income -0.000875 \n", + "monthly_premium_auto 0.020257 \n", + "months_since_last_claim -0.042959 \n", + "months_since_policy_inception 1.000000 \n", + "number_of_open_complaints -0.001158 \n", + "number_of_policies -0.013333 \n", + "total_claim_amount 0.003335 \n", + "month 0.011010 \n", + "\n", + " number_of_open_complaints number_of_policies \\\n", + "customer_lifetime_value -0.036343 0.021955 \n", + "income 0.006408 -0.008656 \n", + "monthly_premium_auto -0.013122 -0.011233 \n", + "months_since_last_claim 0.005354 0.009136 \n", + "months_since_policy_inception -0.001158 -0.013333 \n", + "number_of_open_complaints 1.000000 0.001498 \n", + "number_of_policies 0.001498 1.000000 \n", + "total_claim_amount -0.014241 -0.002354 \n", + "month -0.006335 0.009305 \n", + "\n", + " total_claim_amount month \n", + "customer_lifetime_value 0.226451 -0.006096 \n", + "income -0.355254 0.000169 \n", + "monthly_premium_auto 0.632017 0.011467 \n", + "months_since_last_claim 0.007563 -0.020921 \n", + "months_since_policy_inception 0.003335 0.011010 \n", + "number_of_open_complaints -0.014241 -0.006335 \n", + "number_of_policies -0.002354 0.009305 \n", + "total_claim_amount 1.000000 0.006820 \n", + "month 0.006820 1.000000 " + ] + }, + "execution_count": 197, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "correlations_matrix = numerical.corr()\n", + "correlations_matrix" + ] + }, + { + "cell_type": "code", + "execution_count": 198, + "id": "5980df82", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.heatmap(correlations_matrix, annot=True)\n", + "plt.show()\n", + "mask = np.zeros_like(correlations_matrix)\n", + "mask[np.triu_indices_from(mask)] = True # don't include if you think it will confuse the students right now\n", + "fig, ax = plt.subplots(figsize=(10, 8))\n", + "ax = sns.heatmap(correlations_matrix, mask=mask, annot=True)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "843c9015", + "metadata": {}, + "source": [ + "Drop one of the two features that show a high correlation between them (greater than 0.9). Write code for both the correlation matrix and for seaborn heatmap. If there is no pair of features that have a high correlation, then do not drop any features\n" + ] + }, + { + "cell_type": "markdown", + "id": "31575593", + "metadata": {}, + "source": [ + "There is no two features that show a high correlation between them (greater than 0.9)." + ] + }, + { + "cell_type": "markdown", + "id": "2db58a36", + "metadata": {}, + "source": [ + "# Lab | Customer Analysis Round 5" + ] + }, + { + "cell_type": "markdown", + "id": "c65853e0", + "metadata": {}, + "source": [ + "creating regression" + ] + }, + { + "cell_type": "code", + "execution_count": 199, + "id": "56dbfc99", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "from sklearn import linear_model\n", + "from sklearn.metrics import mean_squared_error, r2_score, mean_absolute_error\n", + "\n", + "\n", + "\n", + "# These Libs are for stats\n", + "\n", + "import statsmodels.api as sm\n", + "from statsmodels.formula.api import ols\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 200, + "id": "6cba9866", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
OLS Regression Results
Dep. Variable: total_claim_amount R-squared: 0.126
Model: OLS Adj. R-squared: 0.126
Method: Least Squares F-statistic: 1319.
Date: Sat, 13 Apr 2024 Prob (F-statistic): 7.00e-270
Time: 21:13:28 Log-Likelihood: -64148.
No. Observations: 9134 AIC: 1.283e+05
Df Residuals: 9132 BIC: 1.283e+05
Df Model: 1
Covariance Type: nonrobust
\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
coef std err t P>|t| [0.025 0.975]
const 562.0120 4.526 124.186 0.000 553.141 570.883
income -0.0034 9.35e-05 -36.318 0.000 -0.004 -0.003
\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
Omnibus: 3595.994 Durbin-Watson: 1.978
Prob(Omnibus): 0.000 Jarque-Bera (JB): 21912.715
Skew: 1.777 Prob(JB): 0.00
Kurtosis: 9.705 Cond. No. 7.71e+04


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 7.71e+04. This might indicate that there are
strong multicollinearity or other numerical problems." + ], + "text/latex": [ + "\\begin{center}\n", + "\\begin{tabular}{lclc}\n", + "\\toprule\n", + "\\textbf{Dep. Variable:} & total\\_claim\\_amount & \\textbf{ R-squared: } & 0.126 \\\\\n", + "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.126 \\\\\n", + "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 1319. \\\\\n", + "\\textbf{Date:} & Sat, 13 Apr 2024 & \\textbf{ Prob (F-statistic):} & 7.00e-270 \\\\\n", + "\\textbf{Time:} & 21:13:28 & \\textbf{ Log-Likelihood: } & -64148. \\\\\n", + "\\textbf{No. Observations:} & 9134 & \\textbf{ AIC: } & 1.283e+05 \\\\\n", + "\\textbf{Df Residuals:} & 9132 & \\textbf{ BIC: } & 1.283e+05 \\\\\n", + "\\textbf{Df Model:} & 1 & \\textbf{ } & \\\\\n", + "\\textbf{Covariance Type:} & nonrobust & \\textbf{ } & \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lcccccc}\n", + " & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]} \\\\\n", + "\\midrule\n", + "\\textbf{const} & 562.0120 & 4.526 & 124.186 & 0.000 & 553.141 & 570.883 \\\\\n", + "\\textbf{income} & -0.0034 & 9.35e-05 & -36.318 & 0.000 & -0.004 & -0.003 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lclc}\n", + "\\textbf{Omnibus:} & 3595.994 & \\textbf{ Durbin-Watson: } & 1.978 \\\\\n", + "\\textbf{Prob(Omnibus):} & 0.000 & \\textbf{ Jarque-Bera (JB): } & 21912.715 \\\\\n", + "\\textbf{Skew:} & 1.777 & \\textbf{ Prob(JB): } & 0.00 \\\\\n", + "\\textbf{Kurtosis:} & 9.705 & \\textbf{ Cond. No. } & 7.71e+04 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "%\\caption{OLS Regression Results}\n", + "\\end{center}\n", + "\n", + "Notes: \\newline\n", + " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified. \\newline\n", + " [2] The condition number is large, 7.71e+04. This might indicate that there are \\newline\n", + " strong multicollinearity or other numerical problems." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: total_claim_amount R-squared: 0.126\n", + "Model: OLS Adj. R-squared: 0.126\n", + "Method: Least Squares F-statistic: 1319.\n", + "Date: Sat, 13 Apr 2024 Prob (F-statistic): 7.00e-270\n", + "Time: 21:13:28 Log-Likelihood: -64148.\n", + "No. Observations: 9134 AIC: 1.283e+05\n", + "Df Residuals: 9132 BIC: 1.283e+05\n", + "Df Model: 1 \n", + "Covariance Type: nonrobust \n", + "==============================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "------------------------------------------------------------------------------\n", + "const 562.0120 4.526 124.186 0.000 553.141 570.883\n", + "income -0.0034 9.35e-05 -36.318 0.000 -0.004 -0.003\n", + "==============================================================================\n", + "Omnibus: 3595.994 Durbin-Watson: 1.978\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 21912.715\n", + "Skew: 1.777 Prob(JB): 0.00\n", + "Kurtosis: 9.705 Cond. No. 7.71e+04\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "[2] The condition number is large, 7.71e+04. This might indicate that there are\n", + "strong multicollinearity or other numerical problems.\n", + "\"\"\"" + ] + }, + "execution_count": 200, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# let's start by doing some analytics\n", + "\n", + "\n", + "Y = df['total_claim_amount'] # dependent variable\n", + "X = df['income'] # independent variable\n", + "\n", + "\n", + "# The linear model has the Formula Y = ........\n", + "\n", + "\n", + "# intercecpt ro davamatot\n", + "\n", + "X = sm.add_constant(X)\n", + "\n", + "\n", + "model = sm.OLS(Y,X).fit()\n", + "\n", + "model.summary()" + ] + }, + { + "cell_type": "code", + "execution_count": 201, + "id": "4d8f2f09", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "customer object\n", + "state object\n", + "customer_lifetime_value float64\n", + "response object\n", + "coverage object\n", + "education object\n", + "effective_to_date datetime64[ns]\n", + "employmentstatus object\n", + "gender object\n", + "income int64\n", + "location_code object\n", + "marital_status object\n", + "monthly_premium_auto int64\n", + "months_since_last_claim int64\n", + "months_since_policy_inception int64\n", + "number_of_open_complaints int64\n", + "number_of_policies int64\n", + "policy_type object\n", + "policy object\n", + "renew_offer_type object\n", + "sales_channel object\n", + "total_claim_amount float64\n", + "vehicle_class object\n", + "vehicle_size object\n", + "month int32\n", + "dtype: object" + ] + }, + "execution_count": 201, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 202, + "id": "a7a63e6c", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "\n", + " \n", + "\n", + "
OLS Regression Results
Dep. Variable: total_claim_amount R-squared: 0.519
Model: OLS Adj. R-squared: 0.518
Method: Least Squares F-statistic: 1229.
Date: Sat, 13 Apr 2024 Prob (F-statistic): 0.00
Time: 21:13:29 Log-Likelihood: -61425.
No. Observations: 9134 AIC: 1.229e+05
Df Residuals: 9125 BIC: 1.229e+05
Df Model: 8
Covariance Type: nonrobust
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coef std err t P>|t| [0.025 0.975]
const 72.8299 10.684 6.817 0.000 51.887 93.773
customer_lifetime_value -0.0007 0.000 -2.015 0.044 -0.001 -1.83e-05
income -0.0033 6.95e-05 -47.367 0.000 -0.003 -0.003
monthly_premium_auto 5.3426 0.067 79.922 0.000 5.212 5.474
months_since_last_claim -0.1460 0.210 -0.696 0.486 -0.557 0.265
months_since_policy_inception -0.1023 0.076 -1.351 0.177 -0.251 0.046
number_of_open_complaints -1.3727 2.319 -0.592 0.554 -5.919 3.174
number_of_policies 0.2492 0.883 0.282 0.778 -1.482 1.981
month -0.3026 4.233 -0.071 0.943 -8.599 7.994
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Omnibus: 994.290 Durbin-Watson: 1.980
Prob(Omnibus): 0.000 Jarque-Bera (JB): 6389.821
Skew: 0.316 Prob(JB): 0.00
Kurtosis: 7.049 Cond. No. 2.54e+05


Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 2.54e+05. This might indicate that there are
strong multicollinearity or other numerical problems." + ], + "text/latex": [ + "\\begin{center}\n", + "\\begin{tabular}{lclc}\n", + "\\toprule\n", + "\\textbf{Dep. Variable:} & total\\_claim\\_amount & \\textbf{ R-squared: } & 0.519 \\\\\n", + "\\textbf{Model:} & OLS & \\textbf{ Adj. R-squared: } & 0.518 \\\\\n", + "\\textbf{Method:} & Least Squares & \\textbf{ F-statistic: } & 1229. \\\\\n", + "\\textbf{Date:} & Sat, 13 Apr 2024 & \\textbf{ Prob (F-statistic):} & 0.00 \\\\\n", + "\\textbf{Time:} & 21:13:29 & \\textbf{ Log-Likelihood: } & -61425. \\\\\n", + "\\textbf{No. Observations:} & 9134 & \\textbf{ AIC: } & 1.229e+05 \\\\\n", + "\\textbf{Df Residuals:} & 9125 & \\textbf{ BIC: } & 1.229e+05 \\\\\n", + "\\textbf{Df Model:} & 8 & \\textbf{ } & \\\\\n", + "\\textbf{Covariance Type:} & nonrobust & \\textbf{ } & \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lcccccc}\n", + " & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]} \\\\\n", + "\\midrule\n", + "\\textbf{const} & 72.8299 & 10.684 & 6.817 & 0.000 & 51.887 & 93.773 \\\\\n", + "\\textbf{customer\\_lifetime\\_value} & -0.0007 & 0.000 & -2.015 & 0.044 & -0.001 & -1.83e-05 \\\\\n", + "\\textbf{income} & -0.0033 & 6.95e-05 & -47.367 & 0.000 & -0.003 & -0.003 \\\\\n", + "\\textbf{monthly\\_premium\\_auto} & 5.3426 & 0.067 & 79.922 & 0.000 & 5.212 & 5.474 \\\\\n", + "\\textbf{months\\_since\\_last\\_claim} & -0.1460 & 0.210 & -0.696 & 0.486 & -0.557 & 0.265 \\\\\n", + "\\textbf{months\\_since\\_policy\\_inception} & -0.1023 & 0.076 & -1.351 & 0.177 & -0.251 & 0.046 \\\\\n", + "\\textbf{number\\_of\\_open\\_complaints} & -1.3727 & 2.319 & -0.592 & 0.554 & -5.919 & 3.174 \\\\\n", + "\\textbf{number\\_of\\_policies} & 0.2492 & 0.883 & 0.282 & 0.778 & -1.482 & 1.981 \\\\\n", + "\\textbf{month} & -0.3026 & 4.233 & -0.071 & 0.943 & -8.599 & 7.994 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\\begin{tabular}{lclc}\n", + "\\textbf{Omnibus:} & 994.290 & \\textbf{ Durbin-Watson: } & 1.980 \\\\\n", + "\\textbf{Prob(Omnibus):} & 0.000 & \\textbf{ Jarque-Bera (JB): } & 6389.821 \\\\\n", + "\\textbf{Skew:} & 0.316 & \\textbf{ Prob(JB): } & 0.00 \\\\\n", + "\\textbf{Kurtosis:} & 7.049 & \\textbf{ Cond. No. } & 2.54e+05 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "%\\caption{OLS Regression Results}\n", + "\\end{center}\n", + "\n", + "Notes: \\newline\n", + " [1] Standard Errors assume that the covariance matrix of the errors is correctly specified. \\newline\n", + " [2] The condition number is large, 2.54e+05. This might indicate that there are \\newline\n", + " strong multicollinearity or other numerical problems." + ], + "text/plain": [ + "\n", + "\"\"\"\n", + " OLS Regression Results \n", + "==============================================================================\n", + "Dep. Variable: total_claim_amount R-squared: 0.519\n", + "Model: OLS Adj. R-squared: 0.518\n", + "Method: Least Squares F-statistic: 1229.\n", + "Date: Sat, 13 Apr 2024 Prob (F-statistic): 0.00\n", + "Time: 21:13:29 Log-Likelihood: -61425.\n", + "No. Observations: 9134 AIC: 1.229e+05\n", + "Df Residuals: 9125 BIC: 1.229e+05\n", + "Df Model: 8 \n", + "Covariance Type: nonrobust \n", + "=================================================================================================\n", + " coef std err t P>|t| [0.025 0.975]\n", + "-------------------------------------------------------------------------------------------------\n", + "const 72.8299 10.684 6.817 0.000 51.887 93.773\n", + "customer_lifetime_value -0.0007 0.000 -2.015 0.044 -0.001 -1.83e-05\n", + "income -0.0033 6.95e-05 -47.367 0.000 -0.003 -0.003\n", + "monthly_premium_auto 5.3426 0.067 79.922 0.000 5.212 5.474\n", + "months_since_last_claim -0.1460 0.210 -0.696 0.486 -0.557 0.265\n", + "months_since_policy_inception -0.1023 0.076 -1.351 0.177 -0.251 0.046\n", + "number_of_open_complaints -1.3727 2.319 -0.592 0.554 -5.919 3.174\n", + "number_of_policies 0.2492 0.883 0.282 0.778 -1.482 1.981\n", + "month -0.3026 4.233 -0.071 0.943 -8.599 7.994\n", + "==============================================================================\n", + "Omnibus: 994.290 Durbin-Watson: 1.980\n", + "Prob(Omnibus): 0.000 Jarque-Bera (JB): 6389.821\n", + "Skew: 0.316 Prob(JB): 0.00\n", + "Kurtosis: 7.049 Cond. No. 2.54e+05\n", + "==============================================================================\n", + "\n", + "Notes:\n", + "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n", + "[2] The condition number is large, 2.54e+05. This might indicate that there are\n", + "strong multicollinearity or other numerical problems.\n", + "\"\"\"" + ] + }, + "execution_count": 202, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# big regression\n", + "\n", + "\n", + "Y = df['total_claim_amount']\n", + "X = numerical.drop(['total_claim_amount'], axis = 1)\n", + "\n", + "X = sm.add_constant(X)\n", + "\n", + "\n", + "model = sm.OLS(Y,X).fit()\n", + "\n", + "model.summary()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}