{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "133f5019", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "2025-05-22 16:13:34.152730: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n", "2025-05-22 16:13:34.200579: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n", "To enable the following instructions: AVX2 AVX_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n" ] } ], "source": [ "import pandas as pd\n", "import numpy as np\n", "import json\n", "\n", "from utils.feature_engineering import *\n", "from utils.data_cleaning import *\n", "\n", "from sklearn.model_selection import train_test_split\n", "from sklearn.ensemble import HistGradientBoostingClassifier \n", "from sklearn.metrics import accuracy_score, classification_report, f1_score\n", "\n", "\n", "from sklearn.metrics.pairwise import cosine_similarity\n", "from sentence_transformers import SentenceTransformer\n", "from geopy.geocoders import Nominatim\n", "from geopy.distance import geodesic\n", "import time \n", "import warnings \n", "\n", "\n", "warnings.filterwarnings('ignore')" ] }, { "cell_type": "markdown", "id": "4a470efe", "metadata": {}, "source": [ "### Load the data" ] }, { "cell_type": "code", "execution_count": 125, "id": "0306cd45", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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IDCandidate StateAge RangeResidenceSexProtected categoryTAGStudy areaStudy TitleYears ExperienceSectorLast RoleYear of insertionYear of RecruitmentRecruitment RequestAssumption HeadquartersJob Family HiringJob Title Hiringevent_type__valevent_feedbacklinked_search__keyOverallJob DescriptionCandidate ProfileYears Experience.1Minimum RalRal MaximumStudy LevelStudy Area.1Akkodis headquartersCurrent RalExpected RalTechnical SkillsStanding/PositionComunicationMaturityDynamismMobilityEnglish
071470Hired31 - 35 yearsTURIN » Turin ~ PiedmontMaleNaNAUTOSAR, CAN, C, C++, MATLAB/SIMULINK, VECTOR/...Automation/Mechatronics EngineeringFive-year degree[1-3]AutomotiveDiagnostic/Test engineer[2018][2021]E/E Diagnostic Integration Engineer - AutomotiveMilanEngineeringConsultantCandidate notificationNaNNaNNaNThe candidate, inserted within a multidiscipli...The ideal candidate has a degree in Electronic...[1-3]26-28K30-32KFive-year degreeelectronic EngineeringModena22-24 K24-26 KNaNNaNNaNNaNNaNNaNNaN
171470Hired31 - 35 yearsTURIN » Turin ~ PiedmontMaleNaNAUTOSAR, CAN, C, C++, MATLAB/SIMULINK, VECTOR/...Automation/Mechatronics EngineeringFive-year degree[1-3]AutomotiveDiagnostic/Test engineer[2018][2021]E/E Diagnostic Integration Engineer - AutomotiveMilanEngineeringConsultantBM interviewNaNRS18.0145NaNThe candidate, inserted within a multidiscipli...The ideal candidate has a degree in Electronic...[1-3]26-28K30-32KFive-year degreeelectronic EngineeringModena22-24 K24-26 KNaNNaNNaNNaNNaNNaNNaN
271470Hired31 - 35 yearsTURIN » Turin ~ PiedmontMaleNaNAUTOSAR, CAN, C, C++, MATLAB/SIMULINK, VECTOR/...Automation/Mechatronics EngineeringFive-year degree[1-3]AutomotiveDiagnostic/Test engineer[2018][2021]E/E Diagnostic Integration Engineer - AutomotiveMilanEngineeringConsultantContact noteNaNNaNNaNThe candidate, inserted within a multidiscipli...The ideal candidate has a degree in Electronic...[1-3]26-28K30-32KFive-year degreeelectronic EngineeringModena22-24 K24-26 KNaNNaNNaNNaNNaNNaNNaN
371470Hired31 - 35 yearsTURIN » Turin ~ PiedmontMaleNaNAUTOSAR, CAN, C, C++, MATLAB/SIMULINK, VECTOR/...Automation/Mechatronics EngineeringFive-year degree[1-3]AutomotiveDiagnostic/Test engineer[2018][2021]E/E Diagnostic Integration Engineer - AutomotiveMilanEngineeringConsultantBM interviewOKRS18.0114~ 2 - MediumThe candidate, inserted within a multidiscipli...The ideal candidate has a degree in Electronic...[1-3]26-28K30-32KFive-year degreeelectronic EngineeringModena22-24 K24-26 K2.02.01.02.02.03.03.0
471470Hired31 - 35 yearsTURIN » Turin ~ PiedmontMaleNaNAUTOSAR, CAN, C, C++, MATLAB/SIMULINK, VECTOR/...Automation/Mechatronics EngineeringFive-year degree[1-3]AutomotiveDiagnostic/Test engineer[2018][2021]E/E Diagnostic Integration Engineer - AutomotiveMilanEngineeringConsultantCommercial noteNaNNaNNaNThe candidate, inserted within a multidiscipli...The ideal candidate has a degree in Electronic...[1-3]26-28K30-32KFive-year degreeelectronic EngineeringModena22-24 K24-26 KNaNNaNNaNNaNNaNNaNNaN
........................................................................................................................
2137279993Hired26 - 30 yearsTORRE ANNUNZIATA » Naples ~ CampaniaMaleNaNXchemical engineeringFive-year degree[0]OthersGraduating student[2023][2023]Junior Project Engineer (C&Q)PomeziaTech Consulting & SolutionsConsultantHR interviewOKRS23.0793~ 3 - HighThe resource, included in a team dedicated to ...The ideal candidate has a Master's Degree in C...[0]- 20K- 20KFive-year degreechemical engineeringPomeziaNot availableNot available2.02.03.03.03.03.03.0
2137379993Hired26 - 30 yearsTORRE ANNUNZIATA » Naples ~ CampaniaMaleNaNXchemical engineeringFive-year degree[0]OthersGraduating student[2023][2023]Junior Project Engineer (C&Q)PomeziaTech Consulting & SolutionsConsultantCandidate notificationNaNNaNNaNThe resource, included in a team dedicated to ...The ideal candidate has a Master's Degree in C...[0]- 20K- 20KFive-year degreechemical engineeringPomeziaNot availableNot availableNaNNaNNaNNaNNaNNaNNaN
2137479993Hired26 - 30 yearsTORRE ANNUNZIATA » Naples ~ CampaniaMaleNaNXchemical engineeringFive-year degree[0]OthersGraduating student[2023][2023]Junior Project Engineer (C&Q)PomeziaTech Consulting & SolutionsConsultantCandidate notificationNaNNaNNaNThe resource, included in a team dedicated to ...The ideal candidate has a Master's Degree in C...[0]- 20K- 20KFive-year degreechemical engineeringPomeziaNot availableNot availableNaNNaNNaNNaNNaNNaNNaN
2137579993Hired26 - 30 yearsTORRE ANNUNZIATA » Naples ~ CampaniaMaleNaNXchemical engineeringFive-year degree[0]OthersGraduating student[2023][2023]Junior Project Engineer (C&Q)PomeziaTech Consulting & SolutionsConsultantTechnical interviewOKRS23.0793~ 2 - MediumThe resource, included in a team dedicated to ...The ideal candidate has a Master's Degree in C...[0]20K- 20KFive-year degreechemical engineeringPomeziaNot availableNot available2.02.02.02.02.03.03.0
2137679993Hired26 - 30 yearsTORRE ANNUNZIATA » Naples ~ CampaniaMaleNaNXchemical engineeringFive-year degree[0]OthersGraduating student[2023][2023]NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNot availableNot availableNaNNaNNaNNaNNaNNaNNaN
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21377 rows × 39 columns

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" ], "text/plain": [ " ID Candidate State Age Range \\\n", "0 71470 Hired 31 - 35 years \n", "1 71470 Hired 31 - 35 years \n", "2 71470 Hired 31 - 35 years \n", "3 71470 Hired 31 - 35 years \n", "4 71470 Hired 31 - 35 years \n", "... ... ... ... \n", "21372 79993 Hired 26 - 30 years \n", "21373 79993 Hired 26 - 30 years \n", "21374 79993 Hired 26 - 30 years \n", "21375 79993 Hired 26 - 30 years \n", "21376 79993 Hired 26 - 30 years \n", "\n", " Residence Sex Protected category \\\n", "0 TURIN » Turin ~ Piedmont Male NaN \n", "1 TURIN » Turin ~ Piedmont Male NaN \n", "2 TURIN » Turin ~ Piedmont Male NaN \n", "3 TURIN » Turin ~ Piedmont Male NaN \n", "4 TURIN » Turin ~ Piedmont Male NaN \n", "... ... ... ... \n", "21372 TORRE ANNUNZIATA » Naples ~ Campania Male NaN \n", "21373 TORRE ANNUNZIATA » Naples ~ Campania Male NaN \n", "21374 TORRE ANNUNZIATA » Naples ~ Campania Male NaN \n", "21375 TORRE ANNUNZIATA » Naples ~ Campania Male NaN \n", "21376 TORRE ANNUNZIATA » Naples ~ Campania Male NaN \n", "\n", " TAG \\\n", "0 AUTOSAR, CAN, C, C++, MATLAB/SIMULINK, VECTOR/... \n", "1 AUTOSAR, CAN, C, C++, MATLAB/SIMULINK, VECTOR/... \n", "2 AUTOSAR, CAN, C, C++, MATLAB/SIMULINK, VECTOR/... \n", "3 AUTOSAR, CAN, C, C++, MATLAB/SIMULINK, VECTOR/... \n", "4 AUTOSAR, CAN, C, C++, MATLAB/SIMULINK, VECTOR/... \n", "... ... \n", "21372 X \n", "21373 X \n", "21374 X \n", "21375 X \n", "21376 X \n", "\n", " Study area Study Title \\\n", "0 Automation/Mechatronics Engineering Five-year degree \n", "1 Automation/Mechatronics Engineering Five-year degree \n", "2 Automation/Mechatronics Engineering Five-year degree \n", "3 Automation/Mechatronics Engineering Five-year degree \n", "4 Automation/Mechatronics Engineering Five-year degree \n", "... ... ... \n", "21372 chemical engineering Five-year degree \n", "21373 chemical engineering Five-year degree \n", "21374 chemical engineering Five-year degree \n", "21375 chemical engineering Five-year degree \n", "21376 chemical engineering Five-year degree \n", "\n", " Years Experience Sector Last Role \\\n", "0 [1-3] Automotive Diagnostic/Test engineer \n", "1 [1-3] Automotive Diagnostic/Test engineer \n", "2 [1-3] Automotive Diagnostic/Test engineer \n", "3 [1-3] Automotive Diagnostic/Test engineer \n", "4 [1-3] Automotive Diagnostic/Test engineer \n", "... ... ... ... \n", "21372 [0] Others Graduating student \n", "21373 [0] Others Graduating student \n", "21374 [0] Others Graduating student \n", "21375 [0] Others Graduating student \n", "21376 [0] Others Graduating student \n", "\n", " Year of insertion Year of Recruitment \\\n", "0 [2018] [2021] \n", "1 [2018] [2021] \n", "2 [2018] [2021] \n", "3 [2018] [2021] \n", "4 [2018] [2021] \n", "... ... ... \n", "21372 [2023] [2023] \n", "21373 [2023] [2023] \n", "21374 [2023] [2023] \n", "21375 [2023] [2023] \n", "21376 [2023] [2023] \n", "\n", " Recruitment Request \\\n", "0 E/E Diagnostic Integration Engineer - Automotive \n", "1 E/E Diagnostic Integration Engineer - Automotive \n", "2 E/E Diagnostic Integration Engineer - Automotive \n", "3 E/E Diagnostic Integration Engineer - Automotive \n", "4 E/E Diagnostic Integration Engineer - Automotive \n", "... ... \n", "21372 Junior Project Engineer (C&Q) \n", "21373 Junior Project Engineer (C&Q) \n", "21374 Junior Project Engineer (C&Q) \n", "21375 Junior Project Engineer (C&Q) \n", "21376 NaN \n", "\n", " Assumption Headquarters Job Family Hiring Job Title Hiring \\\n", "0 Milan Engineering Consultant \n", "1 Milan Engineering Consultant \n", "2 Milan Engineering Consultant \n", "3 Milan Engineering Consultant \n", "4 Milan Engineering Consultant \n", "... ... ... ... \n", "21372 Pomezia Tech Consulting & Solutions Consultant \n", "21373 Pomezia Tech Consulting & Solutions Consultant \n", "21374 Pomezia Tech Consulting & Solutions Consultant \n", "21375 Pomezia Tech Consulting & Solutions Consultant \n", "21376 NaN NaN NaN \n", "\n", " event_type__val event_feedback linked_search__key \\\n", "0 Candidate notification NaN NaN \n", "1 BM interview NaN RS18.0145 \n", "2 Contact note NaN NaN \n", "3 BM interview OK RS18.0114 \n", "4 Commercial note NaN NaN \n", "... ... ... ... \n", "21372 HR interview OK RS23.0793 \n", "21373 Candidate notification NaN NaN \n", "21374 Candidate notification NaN NaN \n", "21375 Technical interview OK RS23.0793 \n", "21376 NaN NaN NaN \n", "\n", " Overall Job Description \\\n", "0 NaN The candidate, inserted within a multidiscipli... \n", "1 NaN The candidate, inserted within a multidiscipli... \n", "2 NaN The candidate, inserted within a multidiscipli... \n", "3 ~ 2 - Medium The candidate, inserted within a multidiscipli... \n", "4 NaN The candidate, inserted within a multidiscipli... \n", "... ... ... \n", "21372 ~ 3 - High The resource, included in a team dedicated to ... \n", "21373 NaN The resource, included in a team dedicated to ... \n", "21374 NaN The resource, included in a team dedicated to ... \n", "21375 ~ 2 - Medium The resource, included in a team dedicated to ... \n", "21376 NaN NaN \n", "\n", " Candidate Profile Years Experience.1 \\\n", "0 The ideal candidate has a degree in Electronic... [1-3] \n", "1 The ideal candidate has a degree in Electronic... [1-3] \n", "2 The ideal candidate has a degree in Electronic... [1-3] \n", "3 The ideal candidate has a degree in Electronic... [1-3] \n", "4 The ideal candidate has a degree in Electronic... [1-3] \n", "... ... ... \n", "21372 The ideal candidate has a Master's Degree in C... [0] \n", "21373 The ideal candidate has a Master's Degree in C... [0] \n", "21374 The ideal candidate has a Master's Degree in C... [0] \n", "21375 The ideal candidate has a Master's Degree in C... [0] \n", "21376 NaN NaN \n", "\n", " Minimum Ral Ral Maximum Study Level Study Area.1 \\\n", "0 26-28K 30-32K Five-year degree electronic Engineering \n", "1 26-28K 30-32K Five-year degree electronic Engineering \n", "2 26-28K 30-32K Five-year degree electronic Engineering \n", "3 26-28K 30-32K Five-year degree electronic Engineering \n", "4 26-28K 30-32K Five-year degree electronic Engineering \n", "... ... ... ... ... \n", "21372 - 20K - 20K Five-year degree chemical engineering \n", "21373 - 20K - 20K Five-year degree chemical engineering \n", "21374 - 20K - 20K Five-year degree chemical engineering \n", "21375 20K - 20K Five-year degree chemical engineering \n", "21376 NaN NaN NaN NaN \n", "\n", " Akkodis headquarters Current Ral Expected Ral Technical Skills \\\n", "0 Modena 22-24 K 24-26 K NaN \n", "1 Modena 22-24 K 24-26 K NaN \n", "2 Modena 22-24 K 24-26 K NaN \n", "3 Modena 22-24 K 24-26 K 2.0 \n", "4 Modena 22-24 K 24-26 K NaN \n", "... ... ... ... ... \n", "21372 Pomezia Not available Not available 2.0 \n", "21373 Pomezia Not available Not available NaN \n", "21374 Pomezia Not available Not available NaN \n", "21375 Pomezia Not available Not available 2.0 \n", "21376 NaN Not available Not available NaN \n", "\n", " Standing/Position Comunication Maturity Dynamism Mobility English \n", "0 NaN NaN NaN NaN NaN NaN \n", "1 NaN NaN NaN NaN NaN NaN \n", "2 NaN NaN NaN NaN NaN NaN \n", "3 2.0 1.0 2.0 2.0 3.0 3.0 \n", "4 NaN NaN NaN NaN NaN NaN \n", "... ... ... ... ... ... ... \n", "21372 2.0 3.0 3.0 3.0 3.0 3.0 \n", "21373 NaN NaN NaN NaN NaN NaN \n", "21374 NaN NaN NaN NaN NaN NaN \n", "21375 2.0 2.0 2.0 2.0 3.0 3.0 \n", "21376 NaN NaN NaN NaN NaN NaN \n", "\n", "[21377 rows x 39 columns]" ] }, "execution_count": 125, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd \n", "pd.set_option('display.max_columns', None) \n", "df = pd.read_excel('../Dataset_2.0_Akkodis.xlsx')\n", "df" ] }, { "cell_type": "markdown", "id": "82e9c71e", "metadata": {}, "source": [ "## Remove rows" ] }, { "cell_type": "markdown", "id": "4178e4a4", "metadata": {}, "source": [ "### Drop duplicates" ] }, { "cell_type": "code", "execution_count": 126, "id": "80961d2c", "metadata": {}, "outputs": [], "source": [ "df = df.drop_duplicates().reset_index(drop=True)" ] }, { "cell_type": "markdown", "id": "520aafff", "metadata": {}, "source": [ "### Clean the columns' names" ] }, { "cell_type": "code", "execution_count": 127, "id": "7d448121", "metadata": {}, "outputs": [], "source": [ "df = clean_dataframe_columns(df)" ] }, { "cell_type": "markdown", "id": "4c168f64", "metadata": {}, "source": [ "### Create new IDs and separate different people with duplicating IDs" ] }, { "cell_type": "code", "execution_count": 128, "id": "f2a0c588", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "🔵 Unique IDs before cleaning: 12263\n", "🟢 Unique IDs after cleaning: 13372\n", "🧮 Difference: 1109 new IDs created\n" ] } ], "source": [ "invariant_columns = [\n", " \"ID\",\n", " \"Sex\",\n", " \"Job Title Hiring\",\n", " \"Study Area.1\",\n", " \"Assumption Headquarters\",\n", " \"Year of insertion\",\n", " \"Age Range\",\n", " \"Study area\",\n", " \"Study Title\",\n", " \"Years Experience\",\n", " \"Residence\",\n", "]\n", "df = split_duplicate_ids_by_invariant_columns(df, invariant_columns)" ] }, { "cell_type": "markdown", "id": "8f192d94", "metadata": {}, "source": [ "### Extract `numer_of_searches` column" ] }, { "cell_type": "code", "execution_count": 129, "id": "502ff206", "metadata": {}, "outputs": [], "source": [ "df['number_of_searches'] = pd.to_numeric(\n", " df['linked_search__key'].str.split('.', n=1, expand=True)[1], \n", " errors='coerce'\n", ")" ] }, { "cell_type": "markdown", "id": "ed82f889", "metadata": {}, "source": [ "### Remove irrelevant columns" ] }, { "cell_type": "code", "execution_count": 130, "id": "e5b5dc1a", "metadata": {}, "outputs": [], "source": [ "df = df.drop(columns=['linked_search__key', 'Year of Recruitment']) " ] }, { "cell_type": "markdown", "id": "411cefd9", "metadata": {}, "source": [ "### Remove candidates in first stages" ] }, { "cell_type": "code", "execution_count": 131, "id": "b1d58167", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "🗂️ Removed 7440 initial-stage only candidates.\n" ] } ], "source": [ "df = remove_initial_stage_candidates(df)" ] }, { "cell_type": "markdown", "id": "6948afdd", "metadata": {}, "source": [ "### Removal of Candidates with Inconsistent Final Outcomes" ] }, { "cell_type": "code", "execution_count": 132, "id": "f3f67b93", "metadata": {}, "outputs": [], "source": [ "state_order = ['imported', 'first contact', 'in selection', 'qm', 'economic proposal', 'vivier', 'hired']\n", "event_order = ['cv request', 'contact note', 'hr interview', 'bm interview', 'technical interview', \n", " 'qualification meeting', 'economic proposal', 'candidate notification']\n", "\n", "grouped = df.groupby('ID', group_keys=False).apply(sort_group, state_order=state_order, event_order=event_order)\n", "\n", "df = grouped.reset_index(drop=True)" ] }, { "cell_type": "code", "execution_count": 133, "id": "f4998e9a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of unique IDs to remove: 1040\n", "Total IDs before cleaning: 5932\n", "Total IDs after cleaning: 4892\n", "Total IDs removed: 1040\n" ] } ], "source": [ "feedbacks_to_remove = [\n", " 'OK (other candidate)', \n", " 'KO (lost availability)', \n", " 'OK (hired)', \n", " 'OK (waiting for departure)', \n", " 'KO (opportunity closed)', \n", " 'KO (retired)', \n", " 'KO (ral)', \n", " 'KO (proposed renunciation)'\n", " ]\n", "\n", "\n", "df = remove_not_hired_valid_candidates(df, state_order=state_order, event_order=event_order, feedbacks_to_remove=feedbacks_to_remove)" ] }, { "cell_type": "code", "execution_count": 134, "id": "819c4a80", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Before filtering:\n", "qm: 399 rows\n", "vivier: 28 rows\n", "in selection: 3044 rows\n", "imported: 311 rows\n", "hired: 2143 rows\n", "economic proposal: 46 rows\n", "first contact: 3093 rows\n", "\n", "After filtering:\n", "qm: 399 rows\n", "in selection: 3044 rows\n", "imported: 311 rows\n", "hired: 2143 rows\n", "first contact: 3093 rows\n", "Total IDs before cleaning: 4892\n", "Total IDs after cleaning: 4870\n", "Total IDs removed: 22\n" ] } ], "source": [ "states_to_drop = ['vivier', 'economic proposal']\n", "\n", "print(\"Before filtering:\")\n", "for c in list(set(df['Candidate State'])):\n", " print(f\"{c}: {len(df[df['Candidate State']==c])} rows\")\n", "total_ids_before = df['ID'].nunique()\n", "\n", "df = df[~df['Candidate State'].isin(states_to_drop)]\n", "\n", "print(\"\\nAfter filtering:\")\n", "for c in list(set(df['Candidate State'])):\n", " print(f\"{c}: {len(df[df['Candidate State']==c])} rows\")\n", "\n", "total_ids_after = df['ID'].nunique()\n", "print(f\"Total IDs before cleaning: {total_ids_before}\")\n", "print(f\"Total IDs after cleaning: {total_ids_after}\")\n", "print(f\"Total IDs removed: {total_ids_before - total_ids_after}\")" ] }, { "cell_type": "markdown", "id": "50745327", "metadata": {}, "source": [ "## Preprocess columns" ] }, { "cell_type": "markdown", "id": "b5167f70", "metadata": {}, "source": [ "### Ral Mapping" ] }, { "cell_type": "code", "execution_count": 135, "id": "7fa67510", "metadata": {}, "outputs": [], "source": [ "ral_mapping = {\n", " '- 20 K': 19000,\n", " '- 20K': 19000,\n", " '20-22 K': 21000,\n", " '20-22K': 21000,\n", " '22-24 K': 23000,\n", " '22-24K': 23000,\n", " '24-26 K': 25000,\n", " '24-26K': 25000,\n", " '26-28 K': 27000,\n", " '26-28K': 27000,\n", " '28-30 K': 29000,\n", " '28-30K': 29000,\n", " '30-32 K': 31000,\n", " '30-32K': 31000,\n", " '32-34 K': 33000,\n", " '32-34K': 33000,\n", " '34-36 K': 35000,\n", " '34-36K': 35000,\n", " '36-38 K': 37000,\n", " '36-38K': 37000,\n", " '38-40 K': 39000,\n", " '38-40K': 39000,\n", " '40-42 K': 41000,\n", " '40-42K': 41000,\n", " '42-44 K': 43000,\n", " '42-44K': 43000,\n", " '44-46 K': 45000,\n", " '44-46K': 45000,\n", " '46-48 K': 47000,\n", " '46-48K': 47000,\n", " '48-50 K': 49000,\n", " '48-50K': 49000,\n", " '+ 50 K': 55000,\n", " '+50K': 55000,\n", " '20K': 20000,\n", " 'Not available': None,\n", " 'Not Avail.': None,\n", " np.nan: None\n", "}\n", "\n", "ral_columns = ['Expected Ral', 'Minimum Ral', 'Ral Maximum', 'Current Ral']\n", "\n", "for col in ral_columns:\n", " if col in df.columns:\n", " df[col] = df[col].astype(str).map(ral_mapping)\n", " else:\n", " print(f\"Warning: Column '{col}' not found in the DataFrame.\")" ] }, { "cell_type": "markdown", "id": "a12c4aad", "metadata": {}, "source": [ "### Overall mapping" ] }, { "cell_type": "code", "execution_count": 136, "id": "8afa85d2", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The unique values of column `Overall` are {'4 - Top', '1 - Low', nan, '~ 2 - Medium', '2 - Medium', '~ 4 - Top', '3 - High', '~ 1 - Low', '~ 3 - High'}\n" ] } ], "source": [ "print(f\"The unique values of column `Overall` are {set(df['Overall'])}\")" ] }, { "cell_type": "code", "execution_count": 137, "id": "ad8db9e7", "metadata": {}, "outputs": [], "source": [ "score_mapping = {\n", " '1 - Low': 1,\n", " '2 - Medium': 2,\n", " '3 - High': 3,\n", " '4 - Top': 4,\n", " '~ 1 - Low': 1,\n", " '~ 2 - Medium': 2,\n", " '~ 3 - High': 3,\n", " '~ 4 - Top': 4\n", "}\n", "df['Overall'] = df['Overall'].map(score_mapping)" ] }, { "cell_type": "markdown", "id": "458ceccd", "metadata": {}, "source": [ "### Make the `Protected category` column boolean" ] }, { "cell_type": "code", "execution_count": 138, "id": "f8256705", "metadata": {}, "outputs": [], "source": [ "df['Protected category'] = df['Protected category'].apply(lambda x: True if 'article' in str(x).lower() else False)" ] }, { "cell_type": "markdown", "id": "b355feea", "metadata": {}, "source": [ "### Remove invalid values from `Job Title Hiring`" ] }, { "cell_type": "code", "execution_count": 139, "id": "927563e1", "metadata": {}, "outputs": [], "source": [ "df['Job Title Hiring'] = df['Job Title Hiring'].replace('???', None)" ] }, { "cell_type": "markdown", "id": "7255b847", "metadata": {}, "source": [ "### Aggregate Records" ] }, { "cell_type": "code", "execution_count": 140, "id": "ff0aae3a", "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import re\n", "\n", "def clean_text(text):\n", " if not isinstance(text, str) or not text.strip():\n", " return None\n", " if text.startswith('o '):\n", " text = text[1:].strip()\n", " text = re.sub(r'^[\\-\\•\\*]+\\s*', '', text.strip())\n", "\n", " text = re.sub(r'\\s+', ' ', text)\n", "\n", " text = text.lower().strip()\n", " return text\n", " \n", "\n", "for col in ['Candidate Profile','Last Role','Job Description','Candidate Profile']:\n", " df[col] = df[col].apply(clean_text)" ] }, { "cell_type": "code", "execution_count": 141, "id": "e70321c4", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "ID: 243\n", " → Column 'number_of_searches' differs: [1248.0, 1616.0]\n", "\n", "ID: 346\n", " → Column 'number_of_searches' differs: [291.0, 957.0]\n", "\n", "ID: 369\n", " → Column 'number_of_searches' differs: [392.0, 596.0]\n", "\n", "ID: 1174\n", " → Column 'number_of_searches' differs: [1282.0, 50.0]\n", "\n", "ID: 1242\n", " → Column 'number_of_searches' differs: [1102.0, 794.0, 998.0]\n", "\n", "ID: 1301\n", " → Column 'number_of_searches' differs: [685.0, 531.0]\n", "\n", "...\n" ] } ], "source": [ "def find_differences_by_id(df):\n", " ignore_columns = {'Job Description','event_feedback', 'event_type__val', \"Overall\", \"Minimum Ral\",'Ral Maximum', \"Technical Skills\", \"Mobility\", \"English\",\"Dynamism\",\"Maturity\",\"Comunication\",\"Standing/Position\"}\n", " id_groups = df.groupby('ID')\n", " counter = 0\n", " for id_val, group in id_groups:\n", " if len(group) <= 1:\n", " continue\n", "\n", " differing_cols = []\n", " for col in df.columns:\n", " if col in ignore_columns or col == 'ID':\n", " continue\n", " unique_vals = group[col].dropna().unique()\n", " if len(unique_vals) > 1:\n", " differing_cols.append((col, unique_vals))\n", "\n", " if differing_cols:\n", " if counter > 5:\n", " print('\\n...')\n", " break\n", " else:\n", " counter += 1\n", " print(f\"\\nID: {id_val}\")\n", " for col, vals in differing_cols:\n", " print(f\" → Column '{col}' differs: {[float(v) for v in list(vals)]}\")\n", "\n", "find_differences_by_id(df)\n" ] }, { "cell_type": "code", "execution_count": 142, "id": "0c683c9c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Original number of records: 8990\n", "Aggregated number of records: 4870\n" ] } ], "source": [ "import numpy as np\n", "def aggregate_group(group):\n", " for col in group.columns:\n", " if col == 'ID':\n", " continue \n", " values = group[col].dropna().unique()\n", " if len(values) == 0:\n", " continue \n", " elif len(values) == 1:\n", " group[col] = values[0]\n", " else:\n", " if np.issubdtype(group[col].dropna().dtype, np.number):\n", " avg_value = group[col].dropna().astype(float).mean()\n", " group[col] = avg_value\n", " else:\n", " string_values = [str(v).strip() for v in values]\n", " filtered_values = [v for v in string_values if v]\n", " combined_string = \"|\".join(str(v) for v in filtered_values)\n", " group[col] = combined_string\n", " return group\n", "\n", "def aggregate_all_records(df):\n", " df_cleaned = df.drop(columns=['event_feedback', 'event_type__val']).drop_duplicates().reset_index(drop=True)\n", "\n", " grouped = df_cleaned.groupby('ID')\n", "\n", " groups_with_multiple = grouped.filter(lambda x: len(x) > 1)\n", "\n", " fixed_groups = groups_with_multiple.groupby('ID', group_keys=False).apply(aggregate_group).drop_duplicates().reset_index(drop=True)\n", " groups_with_single = grouped.filter(lambda x: len(x) == 1)\n", " final_df = pd.concat([fixed_groups, groups_with_single], ignore_index=True)\n", "\n", " print(f\"Original number of records: {len(df['ID'])}\")\n", " print(f\"Aggregated number of records: {len(final_df['ID'])}\")\n", " return final_df\n", "\n", "\n", "final_df = aggregate_all_records(df)\n" ] }, { "cell_type": "code", "execution_count": 143, "id": "ca9e73eb", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Applying cleaning to columns: ['ID', 'Candidate State', 'Age Range', 'Residence', 'Sex', 'TAG', 'Study area', 'Study Title', 'Years Experience', 'Sector', 'Last Role', 'Year of insertion', 'Recruitment Request', 'Assumption Headquarters', 'Job Family Hiring', 'Job Title Hiring', 'Job Description', 'Candidate Profile', 'Years Experience.1', 'Study Level', 'Study Area.1', 'Akkodis headquarters']\n" ] } ], "source": [ "def clean_aggregated_string_column(val):\n", " if isinstance(val, str) and '|' in val:\n", " parts = val.split('|')\n", " filtered_parts = [p.strip() for p in parts if p.strip()]\n", "\n", " if not filtered_parts:\n", " return '' \n", " elif len(filtered_parts) == 1:\n", " return filtered_parts[0]\n", " else:\n", " return '|'.join(filtered_parts)\n", " else:\n", " return val\n", "\n", "def clean_aggregated_string_columns(df):\n", " df_cleaned = df.copy() \n", " string_cols = df_cleaned.select_dtypes(include=['object', 'string']).columns\n", "\n", " print(f\"Applying cleaning to columns: {list(string_cols)}\")\n", "\n", " for col in string_cols:\n", " df_cleaned[col] = df_cleaned[col].map(clean_aggregated_string_column, na_action='ignore')\n", "\n", " return df_cleaned\n", "final_df = clean_aggregated_string_columns(final_df)" ] }, { "cell_type": "markdown", "id": "33a530e8", "metadata": {}, "source": [ "### Residence" ] }, { "cell_type": "code", "execution_count": 144, "id": "9e8d22ec", "metadata": {}, "outputs": [], "source": [ "with open(\"city_mapping.json\", \"r\", encoding=\"utf-8\") as f:\n", " city_mapping = json.load(f)\n", "def city_transform(city):\n", " if city.strip().upper() in city_mapping:\n", " city = city_mapping[city.strip().upper()]\n", " else:\n", " city = ' '.join([c.capitalize() if c.upper() not in ['DI','IN','DEL','A'] else c.lower() for c in city.split()])\n", " return city\n", "\n", "def parse_residence(residence):\n", " try:\n", " parts = residence.split('»')\n", " except:\n", " return pd.Series([None, None, None, None, False])\n", " city = parts[0].strip()\n", " if len(parts) < 2 or '~' not in parts[1]:\n", " italian_residence = (city.upper() == 'ITALY') \n", " \n", " return pd.Series([city.upper(), None, None, None, italian_residence])\n", " subparts = parts[1].split('~')\n", " province = subparts[0].strip()\n", " region = subparts[1].strip() if len(subparts) > 1 else None\n", " if province == '(COUNTRY)' or province == '(STATE)':\n", " country = city\n", " else:\n", " country = 'ITALY'\n", "\n", " country = country.capitalize()\n", " region = region.capitalize()\n", " province = province.capitalize()\n", " city_italian_name = city_transform(city)\n", "\n", " if country.upper() == 'ITALY':\n", " italian_residence = True\n", " else:\n", " italian_residence = False\n", " region = None\n", " province = None\n", " city = None\n", " \n", " return pd.Series([country, region, province, city_italian_name, city, italian_residence])\n", "\n", "final_df[['Residence Country', 'Residence Italian Region', 'Residence Italian Province', 'Residence Italian City IT', 'Residence Italian City EN', 'Italian Residence']] = final_df['Residence'].apply(parse_residence)\n", "\n", "european_countries = {\n", " 'ALBANIA', 'AUSTRIA', 'BELARUS', 'BELGIUM', 'BULGARIA', 'CROATIA', 'CZECH REPUBLIC',\n", " 'FRANCE', 'GERMANY', 'GREECE', 'LITHUANIA', 'MALTA', 'MONACO', 'NETHERLANDS',\n", " 'PORTUGAL', 'REPUBLIC OF POLAND', 'ROMANIA', 'RUSSIAN FEDERATION', 'SAN MARINO',\n", " 'SERBIA AND MONTENEGRO', 'SLOVAKIA', 'SPAIN', 'SWEDEN', 'SWITZERLAND', 'UKRAINE',\n", " 'GREAT BRITAIN-NORTHERN IRELAND', 'YUGOSLAVIA', 'ITALY','TÜRKIYE', 'USSR'\n", "}\n", "final_df['European Residence'] = final_df['Residence Country'].apply(lambda x: x.upper() in european_countries if pd.notna(x) else False)\n", "country_mapping = {\n", " \"GREAT BRITAIN-NORTHERN IRELAND\": \"UNITED KINGDOM\",\n", " \"REPUBLIC OF POLAND\": \"POLAND\",\n", " \"UNITED STATES OF AMERICA\" : \"UNITED STATES\",\n", " \"TÜRKIYE\" : \"TURKEY\", \"SERBIA AND MONTENEGRO\": \"SERBIA\",\"YUGOSLAVIA\": \"SERBIA\", \"USSR\": \"RUSSIA\", \"CHINA PEOPLE'S REPUBLIC\": \"CHINA\",\n", " \"SOUTH AFRICAN REPUBLIC\": \"SOUTH AFRICA\", \"RUSSIAN FEDERATION\": \"RUSSIA\",\n", "}\n", "\n", "\n", "final_df['Residence Country'] = (\n", " final_df['Residence Country']\n", " .astype(str) \n", " .str.upper() \n", " .replace(country_mapping) \n", ")\n" ] }, { "cell_type": "code", "execution_count": 145, "id": "a2316bf7", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Assumption Headquarters Values: [nan 'Bologna' 'Modena' 'Milan' 'Turin' 'Rome' 'Poggibonsi' 'Pisa' 'Udine'\n", " 'Toasts' 'Valenzano' 'The Eagle' 'Bari' 'Pomezia' 'Naples' 'Vicenza'\n", " 'Gallarate' 'Florence' 'Tramutola']\n", "Akkodis Headquarters Values: [nan 'Milan' 'Modena' 'Turin' 'Rome' 'Poggibonsi' 'Pisa' 'Udine'\n", " 'Valenzano' 'Gallarate' 'Bologna' 'Naples' 'Bari' 'Vicenza' 'Pomezia'\n", " 'The Eagle' 'Toasts' 'Florence' 'Genoa']\n" ] } ], "source": [ "print(f'Assumption Headquarters Values: {final_df[\"Assumption Headquarters\"].unique()}\\nAkkodis Headquarters Values: {final_df[\"Akkodis headquarters\"].unique()}')" ] }, { "cell_type": "code", "execution_count": 146, "id": "ea78a0d7", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Assumption Headquarters Values: [nan 'Bologna' 'Modena' 'Milan' 'Turin' 'Rome' 'Poggibonsi' 'Pisa' 'Udine'\n", " 'Brindisi' 'Valenzano' \"L'Aquila\" 'Bari' 'Pomezia' 'Naples' 'Vicenza'\n", " 'Gallarate' 'Florence' 'Tramutola']\n", "Akkodis Headquarters Values: [nan 'Milan' 'Modena' 'Turin' 'Rome' 'Poggibonsi' 'Pisa' 'Udine'\n", " 'Valenzano' 'Gallarate' 'Bologna' 'Naples' 'Bari' 'Vicenza' 'Pomezia'\n", " \"L'Aquila\" 'Brindisi' 'Florence' 'Genoa']\n" ] } ], "source": [ "city_name_mapping = {\n", " \"Toasts\": \"Brindisi\",\n", " \"The Eagle\": \"L'Aquila\",\n", "}\n", "final_df['Assumption Headquarters'] = final_df['Assumption Headquarters'].replace(city_name_mapping)\n", "final_df['Akkodis headquarters'] = final_df['Akkodis headquarters'].replace(city_name_mapping)\n", "print(f'Assumption Headquarters Values: {final_df[\"Assumption Headquarters\"].unique()}\\nAkkodis Headquarters Values: {final_df[\"Akkodis headquarters\"].unique()}')" ] }, { "cell_type": "code", "execution_count": 76, "id": "a2fbe65b", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Successfully loaded country data from '../countries.csv'.\n", "Loaded cities data from '../simplemaps_worldcities_basicv1.90/worldcities.csv', 48056 rows.\n" ] } ], "source": [ "import os\n", "import time\n", "import json\n", "import requests\n", "import pandas as pd\n", "\n", "country_coords = {}\n", "country_file_path = '../countries.csv'\n", "\n", "if os.path.exists(country_file_path):\n", " try:\n", " countries_df = pd.read_csv(country_file_path)\n", " country_coords = {\n", " row['name'].upper(): {\n", " 'latitude': row['latitude'],\n", " 'longitude': row['longitude']\n", " }\n", " for _, row in countries_df.iterrows()\n", " }\n", " print(f\"Successfully loaded country data from '{country_file_path}'.\")\n", " except FileNotFoundError:\n", " print(f\"Error: '{country_file_path}' not found.\")\n", " except pd.errors.EmptyDataError:\n", " print(f\"Error: '{country_file_path}' is empty.\")\n", " except pd.errors.ParserError:\n", " print(f\"Error: Could not parse '{country_file_path}'. Check CSV format.\")\n", " except Exception as e:\n", " print(f\"An unexpected error occurred while reading '{country_file_path}': {e}\")\n", "else:\n", " print(f\"Warning: '{country_file_path}' not found. Country lookups will not be possible.\")\n", "\n", "cities_file = '../simplemaps_worldcities_basicv1.90/worldcities.csv'\n", "if os.path.exists(cities_file):\n", " cities = pd.read_csv(cities_file)\n", " print(f\"Loaded cities data from '{cities_file}', {len(cities)} rows.\")\n", "else:\n", " raise FileNotFoundError(f\"Cities file not found at '{cities_file}'\")\n" ] }, { "cell_type": "code", "execution_count": 77, "id": "958c56cc", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Headquarters city 'Tramutola' not found in Italy.\n" ] } ], "source": [ "def get_headquarter_coordinates(city_name):\n", " \"\"\"\n", " Returns (latitude, longitude) for a headquarters city in Italy.\n", " Looks up in the local 'cities' DataFrame only.\n", " \"\"\"\n", "\n", " if pd.isna(city_name) or not city_name:\n", " return None, None\n", "\n", " mask = (\n", " (cities['city_ascii'].str.upper() == str(city_name).upper()) &\n", " (cities['iso2'] == 'IT')\n", " )\n", " if mask.any():\n", " row = cities.loc[mask].iloc[0]\n", " return row['lat'], row['lng']\n", " else:\n", " print(f\"Headquarters city '{city_name}' not found in Italy.\")\n", " return None, None\n", "final_df[['Assumption HQ Lat', 'Assumption HQ Lng']] = final_df['Assumption Headquarters'].apply(\n", " lambda x: pd.Series(get_headquarter_coordinates(x))\n", ")\n", "\n", "final_df[['Akkodis HQ Lat', 'Akkodis HQ Lng']] = final_df['Akkodis headquarters'].apply(\n", " lambda x: pd.Series(get_headquarter_coordinates(x))\n", ")" ] }, { "cell_type": "code", "execution_count": 78, "id": "a0714106", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Geocoding rows: 15%|█▍ | 712/4870 [00:52<06:02, 11.46it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Coordinates not found for country 'NONE'.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Geocoding rows: 100%|██████████| 4870/4870 [04:57<00:00, 16.35it/s]\n" ] } ], "source": [ "def get_city_coordinates(city_en, city_it):\n", " \"\"\"\n", " Returns (latitude, longitude) for an Italian city by looking it up in the 'cities' DataFrame.\n", " If not found or not an Italian city, falls back to the Back4App API.\n", " \"\"\"\n", " if pd.isna(city_en) or not city_en:\n", " return None, None\n", "\n", " mask = (\n", " (cities['city_ascii'].str.upper() == str(city_en).replace(\"'\",\"\").strip().upper()) &\n", " (cities['iso2'] == 'IT')\n", " )\n", " if mask.any():\n", " row = cities.loc[mask].iloc[0]\n", " return row['lat'], row['lng']\n", " mask = (\n", " (cities['city_ascii'].str.upper() == str(city_it).replace(\"'\",\"\").strip().upper()) &\n", " (cities['iso2'] == 'IT')\n", " )\n", " if mask.any():\n", " row = cities.loc[mask].iloc[0]\n", " return row['lat'], row['lng']\n", " \n", " city_name_str = str(city_it)\n", " try:\n", " where = urllib.parse.quote_plus(json.dumps({\"name\": city_name_str}))\n", " url = (\n", " 'https://parseapi.back4app.com/classes/City'\n", " f'?limit=1&keys=name,location&where={where}'\n", " )\n", " headers = {\n", " 'X-Parse-Application-Id': 'rPfDpoNwAXlUjYrLAYtkVa6HXYcorAOJ9pefs00V',\n", " 'X-Parse-Master-Key': 'rpXD45YgCcmIyLf13fwUsguY9hRPaiH4xaIPsQLT'\n", " }\n", " resp = requests.get(url, headers=headers, timeout=10)\n", " resp.raise_for_status()\n", " results = resp.json().get('results', [])\n", " if results:\n", " loc = results[0].get('location', {})\n", " return loc.get('latitude'), loc.get('longitude')\n", " except requests.RequestException:\n", " pass\n", " city_name_str = str(city_en)\n", " try:\n", " where = urllib.parse.quote_plus(json.dumps({\"name\": city_name_str}))\n", " url = (\n", " 'https://parseapi.back4app.com/classes/City'\n", " f'?limit=1&keys=name,location&where={where}'\n", " )\n", " headers = {\n", " 'X-Parse-Application-Id': 'rPfDpoNwAXlUjYrLAYtkVa6HXYcorAOJ9pefs00V',\n", " 'X-Parse-Master-Key': 'rpXD45YgCcmIyLf13fwUsguY9hRPaiH4xaIPsQLT'\n", " }\n", " resp = requests.get(url, headers=headers, timeout=10)\n", " resp.raise_for_status()\n", " results = resp.json().get('results', [])\n", " if results:\n", " loc = results[0].get('location', {})\n", " return loc.get('latitude'), loc.get('longitude')\n", " except requests.RequestException:\n", " pass\n", " print(f\"City '{city_it}' not found in API response.\")\n", " print(f\"City '{city_en}' not found in API response.\")\n", " return None, None\n", "\n", "def get_location_coordinates(row):\n", " \"\"\"\n", " For each row, attempts:\n", " 1) Italian city lookup via `cities` DataFrame\n", " 2) Country lookup via `countries.csv`\n", " 3) API fallback (already inside get_city_coordinates)\n", " Returns a Series [latitude, longitude].\n", " \"\"\"\n", " city_it = row.get('Residence Italian City IT')\n", " city_en = row.get('Residence Italian City EN')\n", " country = row.get('Residence Country')\n", " lat, lng = None, None\n", " if city_en and city_en.lower() != 'italy':\n", " lat, lng = get_city_coordinates(city_en, city_it)\n", " \n", " if lat is None or lng is None:\n", " cu = str(country).upper() if pd.notna(country) else None\n", " if cu and cu in country_coords:\n", " lat = country_coords[cu]['latitude']\n", " lng = country_coords[cu]['longitude']\n", " else:\n", " info = []\n", " if pd.notna(city_it): info.append(f\"city '{city_it}'\")\n", " if pd.notna(country): info.append(f\"country '{cu}'\")\n", " print(f\"Coordinates not found for {' and '.join(info)}.\")\n", "\n", " return pd.Series({'Latitude': lat, 'Longitude': lng})\n", "\n", "\n", "from tqdm import tqdm\n", "\n", "tqdm.pandas(desc=\"Geocoding rows\") \n", "\n", "final_df[['Residence Lat', 'Residence Lon']] = final_df.progress_apply(get_location_coordinates, axis=1)\n", "\n" ] }, { "cell_type": "markdown", "id": "dfef2b07", "metadata": {}, "source": [ "### Save Preprocessed Dataframe" ] }, { "cell_type": "code", "execution_count": 98, "id": "6e4841af", "metadata": {}, "outputs": [], "source": [ "final_df.to_csv('preprocessed_df.csv', index=False)" ] }, { "cell_type": "markdown", "id": "2dcc104c", "metadata": {}, "source": [ "## Create dataset" ] }, { "cell_type": "markdown", "id": "217376c2", "metadata": {}, "source": [ "### Load Preprocessed Dataframe" ] }, { "cell_type": "code", "execution_count": 2, "id": "f6db7608", "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "\n", "final_df = pd.read_csv('preprocessed_df.csv')" ] }, { "cell_type": "code", "execution_count": 3, "id": "498c2580", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['ID', 'Candidate State', 'Age Range', 'Residence', 'Sex',\n", " 'Protected category', 'TAG', 'Study area', 'Study Title',\n", " 'Years Experience', 'Sector', 'Last Role', 'Year of insertion',\n", " 'Recruitment Request', 'Assumption Headquarters', 'Job Family Hiring',\n", " 'Job Title Hiring', 'Overall', 'Job Description', 'Candidate Profile',\n", " 'Years Experience.1', 'Minimum Ral', 'Ral Maximum', 'Study Level',\n", " 'Study Area.1', 'Akkodis headquarters', 'Current Ral', 'Expected Ral',\n", " 'Technical Skills', 'Standing/Position', 'Comunication', 'Maturity',\n", " 'Dynamism', 'Mobility', 'English', 'number_of_searches', 'Hired',\n", " 'Residence Country', 'Residence Italian Region',\n", " 'Residence Italian Province', 'Residence Italian City IT',\n", " 'Residence Italian City EN', 'Italian Residence', 'European Residence',\n", " 'Assumption HQ Lat', 'Assumption HQ Lng', 'Akkodis HQ Lat',\n", " 'Akkodis HQ Lng', 'Residence Lat', 'Residence Lon', 'candidate_text',\n", " 'Distance Residence - Akkodis HQ',\n", " 'Distance Residence - Assumption HQ'],\n", " dtype='object')" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "final_df.columns" ] }, { "cell_type": "markdown", "id": "cbcb3adf", "metadata": {}, "source": [ "### Custom Similarity Features" ] }, { "cell_type": "code", "execution_count": 4, "id": "6540bac6", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "616437da658b496cbd3bf1c61895c311", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Batches: 0%| | 0/153 [00:00\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", " \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", " \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", " \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", 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SexAge RangeProtected categoryItalian ResidenceEuropean ResidenceTAGStudy areaStudy TitleYears ExperienceSector...Minimum RalRal MaximumStudy LevelStudy Area.1Akkodis HQ LatAkkodis HQ LngAssumption HQ LatAssumption HQ Lngnumber_of_searchesHired
0Female26 - 30 yearsFalseTrueTrue-, 3D PRINTING PREFORM SOFTWARE; PYTHON; ANSYS...Biomedical EngineeringFive-year degree[0]NaN...NaNNaNNaNNaNNaNNaNNaNNaN1258.00
1Female26 - 30 yearsFalseTrueTrue-, 3D PRINTING PREFORM SOFTWARE; PYTHON; ANSYS...Biomedical EngineeringFive-year degree[0]NaN...19200.019000.0Five-year degreeChemist - Pharmaceutical43.466711.150043.466711.1500270.00
2Female< 20 yearsFalseTrueTruePROJECT MANAGEMENTManagement EngineeringFive-year degree[0]Others...NaNNaNNaNNaNNaNNaNNaNNaN1188.00
3Female< 20 yearsFalseTrueTruePROJECT MANAGEMENTManagement EngineeringFive-year degree[0]Others...NaNNaNFive-year degreeelectronic Engineering44.645810.925744.645810.9257696.00
4Male26 - 30 yearsFalseTrueTrueANGULAR, JAVASCRIPT.InformaticsThree-year degree[1-3]Telecom...23000.029000.0Three-year degreeInformatics45.46699.190044.493911.3428337.01
\n", "

5 rows × 39 columns

\n", "" ], "text/plain": [ " Sex Age Range Protected category Italian Residence \\\n", "0 Female 26 - 30 years False True \n", "1 Female 26 - 30 years False True \n", "2 Female < 20 years False True \n", "3 Female < 20 years False True \n", "4 Male 26 - 30 years False True \n", "\n", " European Residence TAG \\\n", "0 True -, 3D PRINTING PREFORM SOFTWARE; PYTHON; ANSYS... \n", "1 True -, 3D PRINTING PREFORM SOFTWARE; PYTHON; ANSYS... \n", "2 True PROJECT MANAGEMENT \n", "3 True PROJECT MANAGEMENT \n", "4 True ANGULAR, JAVASCRIPT. \n", "\n", " Study area Study Title Years Experience Sector ... \\\n", "0 Biomedical Engineering Five-year degree [0] NaN ... \n", "1 Biomedical Engineering Five-year degree [0] NaN ... \n", "2 Management Engineering Five-year degree [0] Others ... \n", "3 Management Engineering Five-year degree [0] Others ... \n", "4 Informatics Three-year degree [1-3] Telecom ... \n", "\n", " Minimum Ral Ral Maximum Study Level Study Area.1 \\\n", "0 NaN NaN NaN NaN \n", "1 19200.0 19000.0 Five-year degree Chemist - Pharmaceutical \n", "2 NaN NaN NaN NaN \n", "3 NaN NaN Five-year degree electronic Engineering \n", "4 23000.0 29000.0 Three-year degree Informatics \n", "\n", " Akkodis HQ Lat Akkodis HQ Lng Assumption HQ Lat Assumption HQ Lng \\\n", "0 NaN NaN NaN NaN \n", "1 43.4667 11.1500 43.4667 11.1500 \n", "2 NaN NaN NaN NaN \n", "3 44.6458 10.9257 44.6458 10.9257 \n", "4 45.4669 9.1900 44.4939 11.3428 \n", "\n", " number_of_searches Hired \n", "0 1258.0 0 \n", "1 270.0 0 \n", "2 1188.0 0 \n", "3 696.0 0 \n", "4 337.0 1 \n", "\n", "[5 rows x 39 columns]" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "new_dataset = []\n", "\n", "for idx, row in tqdm(final_df.iterrows(), total=len(final_df)):\n", " year = row['Year of insertion']\n", " hired = row['Hired']\n", " cand_text = row['candidate_text']\n", " full_candidate_data = row[candidate_columns].to_dict()\n", "\n", " same_year_mask = valid_jobs['Year of insertion'] == year\n", " year_job_indices = valid_jobs[same_year_mask].index.tolist()\n", " \n", " if not year_job_indices:\n", " print('No year')\n", " continue\n", "\n", " similarities = [cos_sim_matrix[idx][j] for j in year_job_indices]\n", "\n", "\n", " if hired == 1:\n", " job_data = row[job_columns].to_dict()\n", " new_dataset.append({**full_candidate_data, **job_data, \"Hired\": 1})\n", " low_sim_indices = sorted(zip(year_job_indices, similarities), key=lambda x: x[1])[:3]\n", " low_sample_idx = random.choice(low_sim_indices)[0]\n", " job_data_neg = valid_jobs.loc[low_sample_idx][job_columns].to_dict()\n", " new_dataset.append({**full_candidate_data, **job_data_neg, \"Hired\": 0})\n", "\n", " elif hired == 0:\n", " low_sim_indices = sorted(zip(year_job_indices, similarities), key=lambda x: x[1])[:3]\n", " high_sim_indices = sorted(zip(year_job_indices, similarities), key=lambda x: x[1], reverse=True)[:8]\n", " low_sample_idx = random.choice(low_sim_indices)[0]\n", " high_sample_idx = random.choice(high_sim_indices)[0]\n", " \n", " job_data_low = valid_jobs.loc[low_sample_idx][job_columns].to_dict()\n", " job_data_high = valid_jobs.loc[high_sample_idx][job_columns].to_dict()\n", " new_dataset.append({**full_candidate_data, **job_data_low, \"Hired\": 0})\n", " new_dataset.append({**full_candidate_data, **job_data_high, \"Hired\": 0})\n", "\n", "\n", "dataset = pd.DataFrame(new_dataset)\n", "dataset.head()" ] }, { "cell_type": "code", "execution_count": 6, "id": "222af8a3", "metadata": {}, "outputs": [], "source": [ "cat_order = {\n", " 'Age Range': ['< 20 years', '20 - 25 years', '26 - 30 years', '31 - 35 years', '36 - 40 years', '40 - 45 years', '> 45 years'],\n", " 'Years Experience': ['[0]', '[0-1]', '[1-3]', '[3-5]', '[5-7]', '[7-10]', '[+10]'],\n", " 'Years Experience.1': ['[0]', '[0-1]', '[1-3]', '[3-5]', '[5-7]', '[7-10]','[+10]'],\n", " 'Sex': ['Female','Male'],\n", " 'Study Level':[\n", " \"Middle school diploma\",\n", " \"High school graduation\",\n", " \"Professional qualification\",\n", " \"Three-year degree\",\n", " \"Five-year degree\",\n", " \"master's degree\",\n", " \"Doctorate\"\n", " ], \n", " 'Study Title':[\n", " \"Middle school diploma\",\n", " \"High school graduation\",\n", " \"Professional qualification\",\n", " \"Three-year degree\",\n", " \"Five-year degree\",\n", " \"master's degree\",\n", " \"Doctorate\"\n", " ]\n", "}\n", "\n", "for col, order in cat_order.items():\n", " if col in dataset.columns:\n", " dataset[col+'_int'] = pd.Categorical(dataset[col], categories=order, ordered=True)\n", " dataset[col+'_int'] = dataset[col+'_int'].cat.codes.replace(-1, pd.NA)\n", "dataset['Study Level_int'] = (\n", "dataset['Study Level_int']\n", ".astype('Int64') \n", ")\n", "dataset['Years Experience.1_int'] = dataset['Years Experience.1_int'].fillna(4)\n", "dataset['experience_match_score'] = calculate_experience_match_score(dataset)\n", "\n", "dataset['current_salary_fit_score'] = calculate_salary_fit_score(dataset, is_expected=False)\n", "dataset['expected_salary_fit_score'] = calculate_salary_fit_score(dataset, is_expected=True)\n", "dataset['study_title_score'] = calculate_study_title_score(dataset)\n", "dataset['professional_similarity_score'] = calculate_professional_similarity_score(dataset)\n", "dataset['study_area_score'] = calculate_study_area_score(dataset)\n", "\n", "dataset['Distance Residence - Akkodis HQ'] = dataset.apply(\n", " lambda row: calculate_distance(\n", " (row['Residence Lat'], row['Residence Lon']),\n", " (row['Akkodis HQ Lat'], row['Akkodis HQ Lng'])\n", " ),\n", " axis=1\n", ")\n", "\n", "dataset['Distance Residence - Assumption HQ'] = dataset.apply(\n", " lambda row: calculate_distance(\n", " (row['Residence Lat'], row['Residence Lon']),\n", " (row['Assumption HQ Lat'], row['Assumption HQ Lng'])\n", " ),\n", " axis=1\n", ")" ] }, { "cell_type": "code", "execution_count": 7, "id": "c9b5fefe", "metadata": {}, "outputs": [], "source": [ "dataset = prepare_nlp_text_columns(dataset)" ] }, { "cell_type": "code", "execution_count": 8, "id": "5423f325", "metadata": {}, "outputs": [], "source": [ "from sentence_transformers import SentenceTransformer, util\n", "import numpy as np\n", "\n", "model = SentenceTransformer('all-MiniLM-L6-v2')\n", "\n", "def compute_general_similarity_score(df: pd.DataFrame) -> pd.Series:\n", " embedding_cache = {}\n", "\n", " def get_embedding(text):\n", " if text in embedding_cache:\n", " return embedding_cache[text]\n", " embedding = model.encode(text, convert_to_tensor=True)\n", " embedding_cache[text] = embedding\n", " return embedding\n", "\n", " def similarity(row):\n", " candidate_text = row.get('candidate_text')\n", " job_text = row.get('job_text')\n", "\n", " if not candidate_text or not job_text:\n", " return np.nan\n", "\n", " emb_a = get_embedding(candidate_text)\n", " emb_b = get_embedding(job_text)\n", " return float(util.cos_sim(emb_a, emb_b))\n", "\n", " return df.apply(similarity, axis=1)\n", "dataset['general_similarity_score'] = compute_general_similarity_score(dataset)\n" ] }, { "cell_type": "code", "execution_count": 9, "id": "f63fa62e", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "9eb3fc46dde44727ba4b9fead2b5c640", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Batches: 0%| | 0/39 [00:00 pd.Series:\n", " valid_df = df[['candidate_text', 'job_text']].dropna()\n", " pairs = valid_df.values.tolist()\n", " \n", " tokenizer = cross_model.tokenizer\n", " prompted_pairs = []\n", "\n", " for cand, job in pairs:\n", " prompted_pairs.append((\n", " job,\n", " cand\n", " ))\n", "\n", " \n", " scores = cross_model.predict(prompted_pairs, batch_size=batch_size, show_progress_bar=True)\n", " \n", " result = pd.Series(np.nan, index=df.index, dtype=np.float32)\n", " result.loc[valid_df.index] = scores\n", " return result\n", "\n", "dataset['general_similarity_score_cross'] = compute_similarity_with_prompt(dataset)" ] }, { "cell_type": "code", "execution_count": 10, "id": "e010a1f3", "metadata": {}, "outputs": [], "source": [ "tfidf = TfidfVectorizer(\n", " max_features=5000, \n", " stop_words='english'\n", ")\n", "\n", "combined_text = pd.concat([dataset['candidate_text'], dataset['job_text']])\n", "tfidf.fit(combined_text.fillna(\"\"))\n", "\n", "candidate_tfidf = tfidf.transform(dataset['candidate_text'].fillna(\"\"))\n", "job_tfidf = tfidf.transform(dataset['job_text'].fillna(\"\"))\n", "from sklearn.metrics.pairwise import cosine_similarity\n", "\n", "candidate_tfidf_dense = candidate_tfidf.toarray()\n", "job_tfidf_dense = job_tfidf.toarray()\n", "\n", "tfidf_sim_matrix = cosine_similarity(candidate_tfidf_dense, job_tfidf_dense)\n", "\n", "dataset['general_similarity_score_tfidf'] = tfidf_sim_matrix.max(axis=1)\n" ] }, { "cell_type": "code", "execution_count": 11, "id": "a6c47635", "metadata": {}, "outputs": [], "source": [ "columns_to_keep = [\n", " \"Sex_int\",\n", " \"Protected category\",\n", " \"Overall\",\n", " \"Technical Skills\",\n", " \"Standing/Position\",\n", " \"Comunication\",\n", " \"Maturity\",\n", " \"Dynamism\",\n", " \"Mobility\",\n", " \"English\",\n", " \"Hired\",\n", " \"Italian Residence\",\n", " \"European Residence\",\n", " \"Age Range_int\",\n", " \"experience_match_score\",\n", " \"Years Experience_int\",\n", " \"Years Experience.1_int\",\n", " \"current_salary_fit_score\",\n", " \"Current Ral\",\n", " \"Expected Ral\",\n", " \"Minimum Ral\",\n", " \"Ral Maximum\",\n", " \"expected_salary_fit_score\",\n", " \"study_title_score\",\n", " \"Study Level_int\",\n", " \"Study Title_int\",\n", " \"professional_similarity_score\",\n", " \"study_area_score\",\n", " \"general_similarity_score\",\n", " \"general_similarity_score_tfidf\",\n", " \"general_similarity_score_cross\",\n", " \"number_of_searches\",\n", " \"Distance Residence - Akkodis HQ\",\n", " \"Distance Residence - Assumption HQ\",\n", "]" ] }, { "cell_type": "markdown", "id": "b5dbe3e2", "metadata": {}, "source": [ "### Dataset Analysis" ] }, { "cell_type": "code", "execution_count": 12, "id": "5a871359", "metadata": {}, "outputs": [ { "data": { "image/png": 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hQ4eybds2atSoQUxMDIcOHcqr29AqYCIiIiIiIiIil8KyLBYuXEj79u3PW2bQoEEsXbqUH374wbXvvvvu4/jx4yxfvhyABg0aUK9ePSZPngyAw+GgRIkSPPHEEzz77LN5Unf1ABIRERERERGR64bdbufkyZNum91uN5a/YcMGWrVq5bYvJiaGDRs2AJCens7WrVvdynh4eNCqVStXmbzglWfJInLdWepd0XhmxZ+XG8904Gk0LzjjiNE8gL+8ihnPtDDb4dPfSjOaB5CVBz+WvJ3mfpgD2C0/o3kADsN/j/Eky2geQKg977ojm+LhyDCeedKvqPHM0LQ/jWdeDbI8fcwGWpbZPMDbnmo8c09ADaN5wZ4njeYBHMssZDTvBmey0TyATNP/foAsy+zPHKd1dfxt3XI6jOZ5OjON5oH5OgLcUKGq8UzJvbz4/8Ll2Pz8/QwfPtxt39ChQxk2bJiR/AMHDhAREeG2LyIigpMnT3LmzBmOHTtGVlZWjmV+/vlnI3XIiRqAREREREREROS6ER8fT//+/d322Wy2fKrNlaMGIBERERERERG5bthstjxt8ImMjOTgwYNu+w4ePEhwcDB+fn54enri6emZY5nIyMg8q9fV0U9RREREREREROQq0LBhQ1auXOm2b8WKFTRs2BAAHx8f6tSp41bG4XCwcuVKV5m8oAYgkWvcsGHDqFmzZn5XQ0RERERE5KqUmprK9u3b2b59O3Bumfft27ezf/9+4NyQsq5du7rKP/roo+zZs4eBAwfy888/M2XKFD744AOeeuopV5n+/fvz1ltvMWvWLHbu3Env3r1JS0vjoYceyrP7UAOQyBXw119/0bt3b0qWLInNZiMyMpKYmBjWrVuX59ceMGBAttbni4mOjmbChAl5UyEREREREZGryJYtW6hVqxa1atUCzjXe1KpViyFDhgCQkpLiagwCKF26NEuXLmXFihXUqFGDcePG8fbbbxMTE+Mq06lTJ8aOHcuQIUOoWbMm27dvZ/ny5dkmhjZJcwCJXAEdOnQgPT2dWbNmUaZMGQ4ePMjKlSs5csT86lH/FhgYSGBgYJ5fR0RERERE5EIsb/MrOF4JzZs3x+k8/4q6iYmJOZ7z7bffXjC3T58+9OnT579W75KpB5BIHjt+/Dhr1qzh5ZdfpkWLFpQqVYr69esTHx/PnXfe6SrTs2dPwsPDCQ4O5pZbbuG7774DzvUeioyM5MUXX3Rlrl+/Hh8fn0vq2fPvIWBxcXG0b9+esWPHEhUVReHChXn88cfJyDi3fHLz5s3Zt28fTz31FJZlYeXBMrsiIiIiIiJyZakBSCSP/d0DZ9GiRdjt9hzLdOzYkUOHDvHpp5+ydetWateuTcuWLTl69Cjh4eHMmDGDYcOGsWXLFk6dOkWXLl3o06cPLVu2vKw6rVq1iqSkJFatWsWsWbNITEx0tVovWLCAG264gREjRpCSkkJKSsrl3rqIiIiIiIiLh5dVILbrlRqARPKYl5cXiYmJzJo1i9DQUBo3bsxzzz3H999/D8DatWvZtGkTH374IXXr1qV8+fKMHTuW0NBQPvroIwBuv/12evXqRefOnXn00UcJCAggISHhsutUqFAhJk+eTKVKlWjbti1t2rRx9SYKCwvD09OToKAgIiMj83QZQhEREREREbkyNAeQyBXQoUMH2rRpw5o1a/jmm2/49NNPGTNmDG+//TZpaWmkpqZSuHBht3POnDlDUlKS6/XYsWOpWrUqH374IVu3bsVms112fW688UY8PT1dr6OiotixY0euMux2e7YeTRlOB96W2pVFREREREQKGjUAiVwhvr6+tG7dmtatWzN48GB69uzJ0KFDeeyxx4iKimL16tXZzgkNDXV9nZSUxJ9//onD4SA5OZlq1apddl28vb3dXluWhcPhyFVGQkICw4cPd9t3vxVGZ88il10vERERERG5dlne+mNxflIDkEg+qVKlCosWLaJ27docOHAALy8voqOjcyybnp7Ogw8+SKdOnahYsSI9e/Zkx44dFC1aNE/q5uPjQ1ZW1gXLxMfH079/f7d9X4bVyZP6iIiIiIiIyH+j5jeRPHbkyBFuueUW3n33Xb7//nv27t3Lhx9+yJgxY2jXrh2tWrWiYcOGtG/fns8//5zk5GTWr1/P888/z5YtWwB4/vnnOXHiBJMmTWLQoEFUqFCB7t2751mdo6Oj+frrr/njjz84fPhwjmVsNhvBwcFum4Z/iYiIiIiIFEzqASSSxwIDA2nQoAHjx48nKSmJjIwMSpQoQa9evXjuueewLItly5bx/PPP89BDD7mWfb/55puJiIhg9erVTJgwgVWrVhEcHAzA7NmzqVGjBlOnTqV3797G6zxixAgeeeQRypYti91ux+l0Gr+GiIiIiIhcX67nFbgKAsup/9mJiCFLvSsaz6z483LjmQ48L14oF4IzjhjNA/jLq5jxTAuzH/f+VprRPICsPPi7hLfTfvFCuWC3/IzmATgMd8j15MJDOC9HqP2Q8UzTPBwZxjNP+pkfahua9qfxzKtBlqeP2UDL/H8ivO2pxjP3BNQwmhfsedJoHsCxzEJG825wJhvNA8g0/e8HyLLM/sxxXiU9oS1n7uZ9vBhPZ6bRPDBfR4AbKlQ1nim5tyKiYLwPrQ/+kN9VyBfqASQiIiIiIiIiec7yVg+g/HR1NFOLyHndeOONBAYG5rjNmTMnv6snIiIiIiIiBYB6AIlc5ZYtW0ZGRs7DHiIiIq5wbURERERERKQgUgOQyFWuVKlS+V0FERERERGRi9Ik0PlLQ8BERERERERERK5x6gEkIsbkxYpduyrFGs8s8dMao3kO73CjeQBOh/m/jnh5mF2lIx2b0TyAsw7zmT6Wt9G8dIfZPIAgz1NG8zzyYPWUvFiBx7g8qKPpFdoAUvzLGc3LizrmBX8PsysHeuXBqm8nvKONZ/paZlcizIvVEn09zdbxlBVmNA/Mr2QJ4GGZXTHR4TS7yiiAhfnPc8vD7GdGhtP8z24RyRtqABIRERERERGRPKdVwPLX1fEnIxERERERERERuWxqABLJgWVZLFq0KL+rISIiIiIics3w8LIKxHa9UgOQnFdcXByWZWFZFj4+PpQrV44RI0aQmfnf5hGJi4ujffv2Zir5D1dTo82wYcOoWbNmfldDRERERERErhNqAJILio2NJSUlhd27d/P0008zbNgwXnnllRzLpqenX+HaiSkZGeYn0hQREREREZGCQw1AckE2m43IyEhKlSpF7969adWqFYsXLwb+15Nn9OjRFCtWjIoVKwKwY8cObrnlFvz8/ChcuDAPP/wwqampwLmeL7NmzeLjjz929S5avXo1AL/99hv33nsvoaGhhIWF0a5dO5KTk93qM2PGDG688UZsNhtRUVH06dMHgOjoaADuuusuLMtyvQb4+OOPqV27Nr6+vpQpU4bhw4e79WLavXs3N998M76+vlSpUoUVK1Zc9Lk4HA7GjBlDuXLlsNlslCxZktGjR7uODxo0iAoVKuDv70+ZMmUYPHiwq5ElMTGR4cOH891337meQWJiIgDHjx+nZ8+ehIeHExwczC233MJ3333ndu1Ro0ZRtGhRgoKC6NmzJ88++6xbbyKHw8GIESO44YYbsNls1KxZk+XL/7c6V3JyMpZlMW/ePJo1a4avry9vvvkmwcHBfPTRR27XWrRoEQEBAZw6ZXaFIhERERERuf5YnlaB2K5XWgVMcsXPz48jR464Xq9cuZLg4GBXo0laWhoxMTE0bNiQzZs3c+jQIXr27EmfPn1ITExkwIAB7Ny5k5MnTzJz5kwAwsLCyMjIcJ23Zs0avLy8GDVqFLGxsXz//ff4+PgwdepU+vfvz0svvcRtt93GiRMnWLduHQCbN2+maNGizJw5k9jYWDw9zy3DuWbNGrp27cqkSZNo2rQpSUlJPPzwwwAMHToUh8PB3XffTUREBBs3buTEiRP069fvos8hPj6et956i/Hjx9OkSRNSUlL4+eefXceDgoJITEykWLFi7Nixg169ehEUFMTAgQPp1KkTP/zwA8uXL+eLL74AICQkBICOHTvi5+fHp59+SkhICG+88QYtW7bkl19+ISwsjDlz5jB69GimTJlC48aNmTt3LuPGjaN06dKua0+cOJFx48bxxhtvUKtWLWbMmMGdd97Jjz/+SPny5V3lnn32WcaNG0etWrXw9fXlu+++Y+bMmdxzzz2uMn+/DgoKuvR/JCIiIiIiIlLgWE6n05nflZCCKS4ujuPHj7No0SKcTicrV66kbdu2PPHEE7zyyivExcWxfPly9u/fj4+PDwBvvfUWgwYN4rfffiMgIACAZcuWcccdd/Dnn38SERHhlvu3d999l1GjRrFz504s61yLbHp6OqGhoSxatIhbb72V4sWL89BDDzFq1Kgc62tZFgsXLnSbX6hVq1a0bNmS+Ph4t2sNHDiQP//8k88//5w2bdqwb98+ihUrBsDy5cu57bbbsmX97dSpU4SHhzN58mR69ux5Sc9y7NixzJ07ly1btgDnekItWrSI7du3u8qsXbuWNm3acOjQIWw2m2t/uXLlGDhwIA8//DA33XQTdevWZfLkya7jTZo0ITU11ZVVvHhxHn/8cZ577jlXmfr161OvXj1ef/11kpOTKV26NBMmTODJJ590ldm0aRONGjXit99+IyoqikOHDlG8eHG++OILmjVrdkn3+WvS3ksqlxu7KsUazyzx0xqjeT4e5oc/pjt8jGd6e5gd6mdh/sfHWYft4oVyyccye9/pTm+jeQBBnmZ72Xk4HUbzAGyZp41nXg1Oe5lvALc7fY3mOa6SDt3+HmlG87wc5ocvn3AWMp7pZf23uRP/zdPKMpoHkO40+zPHZtmN5kHe/MzxMPwsHU5Po3kAFuY/zy3L7LPMi/vOC+XLlsrvKgjwddVa+V0FAG7+4dv8rkK+UA8guaAlS5YQGBhIRkYGDoeDBx54gGHDhrmOV6tWzdX4A7Bz505q1KjhavwBaNy4MQ6Hg127dhEREZHjdb777jt+/fXXbD1Nzp49S1JSEocOHeLPP/+kZcuWuar/d999x7p169yGZ2VlZXH27FlOnz7Nzp07KVGihKvxB6Bhw4YXzNy5cyd2u/2CdZk3bx6TJk0iKSmJ1NRUMjMzCQ4OvmhdU1NTKVy4sNv+M2fOkJSUBMCuXbt47LHH3I7Xr1+fL7/8EoCTJ0/y559/0rhxY7cyjRs3zjaUrG7dutlybrzxRmbNmsWzzz7Lu+++S6lSpbj55ptzrK/dbsdut2fb98/GKxERERERESkY1AAkF9SiRQumTp2Kj48PxYoVw8vL/Z/MPxt6/ovU1FTq1KnDnDlzsh0LDw/Hw+Py/rqZmprK8OHDufvuu7Md8/W9vL/A+vn5XfD4hg0b6Ny5M8OHDycmJoaQkBDXUK2L1TUqKso1J9I/hYaGXlZdLySn965nz568/vrrPPvss8ycOZOHHnrI1SPr3xISEhg+fLjbviee6EvfJ/sZr6uIiIiIiIj8N2oAkgsKCAigXLlyl1y+cuXKJCYmkpaW5mpgWLduHR4eHq5Jon18fMjKcu9yW7t2bebNm0fRokXP21MmOjqalStX0qJFixyPe3t755i7a9eu895D5cqV+e2330hJSSEqKgqAb7755oL3WL58efz8/Fi5cmWOQ8DWr19PqVKleP7551379u3b51bmfM/gwIEDeHl5uU1i/U8VK1Zk8+bNdO3a1bVv8+bNrq+Dg4MpVqwY69atcxu2tW7dOurXr3/B+wJ48MEHGThwIJMmTeKnn36iW7du5y0bHx9P//793fb99vufF72GiIiIiIhcnzyu4wmYC4KrY9C4XDU6d+6Mr68v3bp144cffmDVqlU88cQTdOnSxTX8Kzo6mu+//55du3Zx+PBhMjIy6Ny5M0WKFKFdu3asWbOGvXv3snr1avr27cvvv/8OnJs3Z9y4cUyaNIndu3ezbds2XnvtNde1/24gOnDgAMeOHQNgyJAhvPPOOwwfPpwff/yRnTt3MnfuXF544QXg3BxBFSpUoFu3bnz33XesWbPGreEmJ76+vgwaNIiBAwfyzjvvkJSUxDfffMP06dOBcw1E+/fvZ+7cuSQlJTFp0iQWLlzolhEdHc3evXvZvn07hw8fxm6306pVKxo2bEj79u35/PPPSU5OZv369Tz//POuuYOeeOIJpk+fzqxZs9i9ezejRo3i+++/d+ul88wzz/Dyyy8zb948du3axbPPPsv27dvd5vs5n0KFCnH33XfzzDPPcOutt3LDDTect6zNZiM4ONht0/AvERERERGRgkkNQGKUv78/n332GUePHqVevXrcc889tGzZ0m3S4l69elGxYkXq1q1LeHg469atw9/fn6+//pqSJUty9913U7lyZXr06MHZs2ddPYK6devGhAkTmDJlCjfeeCNt27Zl9+7drtxx48axYsUKSpQoQa1a5yYXi4mJYcmSJXz++efUq1ePm266ifHjx1Oq1LlJ4Dw8PFi4cCFnzpyhfv369OzZ022+oPMZPHgwTz/9NEOGDKFy5cp06tSJQ4cOAXDnnXfy1FNP0adPH2rWrMn69esZPHiw2/kdOnQgNjaWFi1aEB4ezvvvv49lWSxbtoybb76Zhx56iAoVKnDfffexb98+V+NZ586diY+PZ8CAAdSuXZu9e/cSFxfnNpytb9++9O/fn6effppq1aqxfPlyFi9e7LYC2IX06NGD9PR0unfvfknlRUREREREpODTKmAiV7nWrVsTGRnJ7NmzjeTNnj2bp556ij///NNtgu9LoVXAzNEqYOZoFTAztAqYOVoFzAytAmaOVgEzQ6uAFWxaBaxgWFerTn5XAYDG327N7yrkC80BJHIVOX36NNOmTSMmJgZPT0/ef/99vvjiC1asWGEkOyUlhZdeeolHHnkk140/IiIiIiIiUnBdHX8yEhEAt2FiderU4ZNPPmH+/Pm0atXqP2ePGTOGSpUqERkZSXx8vIHaioiIiIiISEGhHkAiVxE/Pz+++OKLPMkeNmwYw4YNy5NsERERERERy1N9UPKTnr6IiIiIiIiIyDVOPYBEREREREREJM95eFr5XYXrmnoAiYiIiIiIiIhc49QDSESMcWB+GVDTS7YD/FalqdG8BvFNjOYBOLLML/NrWQX/Ly4+ocHGM73rNzaa53HqqNE8gPSoskbzUkIqGc0DCLGnGM/M9PIzmueVecZoHoAzD75vAh3Hzead+N1oHoDDy/xKkGkBEUbzMj3N19H0UvUAoWcOGM1L9S1sNA8g/HSy0byzthCjeQCnvYKMZzqdZr+/AzJPGM2DvPkMSvc0+9lLHvx6YTnNLlUvIueoAUhERERERERE8pzlUfD/IHkt0xAwEREREREREZFrnBqARMSlefPm9OvXz/U6OjqaCRMm5Ft9RERERERExAw1AIlcQb/99hvdu3enWLFi+Pj4UKpUKZ588kmOHDmS31UTERERERHJUx6eVoHYrldqABK5Qvbs2UPdunXZvXs377//Pr/++ivTpk1j5cqVNGzYkKNHzU8s+7eMjIw8yxYREREREZGCTw1AIlfI448/jo+PD59//jnNmjWjZMmS3HbbbXzxxRf88ccfPP/88zz33HM0aNAg27k1atRgxIgRrtdvv/02lStXxtfXl0qVKjFlyhTXseTkZCzLYt68eTRr1gxfX1/mzJnDkSNHuP/++ylevDj+/v5Uq1aN999//4rcu4iIiIiIiOVpFYjteqVVwESugKNHj/LZZ58xevRo/Pzcl96MjIykc+fOzJs3jzVr1pCQkEBSUhJly55bFvrHH3/k+++/Z/78+QDMmTOHIUOGMHnyZGrVqsW3335Lr169CAgIoFu3bq7cZ599lnHjxlGrVi18fX05e/YsderUYdCgQQQHB7N06VK6dOlC2bJlqV+//pV7GCIiIiIiInLFqQFI5ArYvXs3TqeTypUr53i8cuXKHDt2jPDwcGrUqMF7773H4MGDgXMNPg0aNKBcuXIADB06lHHjxnH33XcDULp0aX766SfeeOMNtwagfv36ucr8bcCAAa6vn3jiCT777DM++OADNQCJiIiIiIhc49QAJHIFOZ3Oi5bp3LkzM2bMYPDgwTidTt5//3369+8PQFpaGklJSfTo0YNevXq5zsnMzCQkJMQtp27dum6vs7KyePHFF/nggw/4448/SE9Px2634+/vf1n3YrfbsdvtbvvS7XZ8bLbLyhMRERERkWub5aFZaPKTnr7IFVCuXDksy2Lnzp05Ht+5cyeFChUiPDyc+++/n127drFt2zbWr1/Pb7/9RqdOnQBITU0F4K233mL79u2u7YcffuCbb75xywwICHB7/corrzBx4kQGDRrEqlWr2L59OzExMaSnp1/WPSUkJBASEuK2vTFtysVPFBERERERkStOPYBEroDChQvTunVrpkyZwlNPPeU2D9CBAweYM2cOXbt2xbIsbrjhBpo1a8acOXM4c+YMrVu3pmjRogBERERQrFgx9uzZQ+fOnXNVh3Xr1tGuXTsefPBBABwOB7/88gtVqlS5rHuKj4939Uz62/7fD15WloiIiIiIiOQtNQCJXCGTJ0+mUaNGxMTEMGrUKEqXLs2PP/7IM888Q/HixRk9erSrbOfOnRk6dCjp6emMHz/eLWf48OH07duXkJAQYmNjsdvtbNmyhWPHjmVrkPmn8uXL89FHH7F+/XoKFSrEq6++ysGDBy+7Achms2H713AvH9vxy8oSEREREZFrn+Vx/a7AVRBoCJjIFVK+fHm2bNlCmTJluPfeeylbtiwPP/wwLVq0YMOGDYSFhbnK3nPPPRw5coTTp0/Tvn17t5yePXvy9ttvM3PmTKpVq0azZs1ITEykdOnSF7z+Cy+8QO3atYmJiaF58+ZERkZmyxYREREREZFrk3oAiVxBpUqVIjEx8aLlQkNDOXv27HmPP/DAAzzwwAM5HouOjs5xsumwsDAWLVp0weuuXr3a7XVycvLFqioiIiIiInJJPDzVAyg/qQeQiIiIiIiIiMg1Tg1AIiIiIiIiIiLXODUAiYiIiIiIiIhc49QAJCIiIiIiIiJyjVMDkIiIiIiIiIjINU6rgImIMcEZR4xnOrzDjWc2iG9iNG9jwlqjeQAtpnUynmn5+BjNyzhy1GgegE/pMsYzU8NKGM3z9fE1mgdg9w0xmpfl9DSaB+B3ONl4JpbZv0NZJ48ZzQM4W+lm45n+aYeM5nnt22U0DwCb+X/njlI2o3npPoFG8wCc3uZXpzljM/v97eHMMpoHcNZwHW0ZqUbzANK8zNYRwMMy+yw9HRlG8wAyPc3+7AawnA6jeXnRo8B0HaXgsDy0Clh+Ug8gEREREREREZFrnHoAiYiIiIiIiEieszzUByU/6emLiIiIiIiIiFzj1AAk14Vhw4ZRs2bN/5xjWRaLFi36zzl/i46OZsKECXma0bx5c/r163fe8qbvSURERERERAoeNQBJgWFZ1gW3YcOG5XcVSUlJ4bbbbrti1zt9+jTx8fGULVsWX19fwsPDadasGR9//PElZyxYsICRI0fmYS1FREREREQuzvKwCsR2vdIcQFJgpKSkuL6eN28eQ4YMYdeu/61sEhhofrWP3IqMjLyi13v00UfZuHEjr732GlWqVOHIkSOsX7+eI0cufbWtsLCwPKyhiIiIiIiIXA3UA0gKjMjISNcWEhKCZVlu++bOnUvlypXx9fWlUqVKTJkyxe3833//nfvvv5+wsDACAgKoW7cuGzdudCsze/ZsoqOjCQkJ4b777uPUqVOuY82bN6dv374MHDiQsLAwIiMjs/U6+vdwqQtdMykpiXbt2hEREUFgYCD16tXjiy++yNUzWbx4Mc899xy333470dHR1KlThyeeeILu3buf95y3336b0NBQVq5c6bqvfw4Bu5D09HT69OlDVFQUvr6+lCpVioSEhFzVWURERERERAoe9QCSq8KcOXMYMmQIkydPplatWnz77bf06tWLgIAAunXrRmpqKs2aNaN48eIsXryYyMhItm3bhsPhcGUkJSWxaNEilixZwrFjx7j33nt56aWXGD16tKvMrFmz6N+/Pxs3bmTDhg3ExcXRuHFjWrduna1OF7tmamoqt99+O6NHj8Zms/HOO+9wxx13sGvXLkqWLHlJ9x0ZGcmyZcu4++67CQoKumj5MWPGMGbMGD7//HPq169/Sdf4p0mTJrF48WI++OADSpYsyW+//cZvv/2W6xwREREREZF/8/C8fodfFQRqAJKrwtChQxk3bhx33303AKVLl+ann37ijTfeoFu3brz33nv89ddfbN682TXkqVy5cm4ZDoeDxMREV0NKly5dWLlypVsDUPXq1Rk6dCgA5cuXZ/LkyaxcuTLHBqCLXbNGjRrUqFHD9XrkyJEsXLiQxYsX06dPn0u67zfffJPOnTtTuHBhatSoQZMmTbjnnnto3LhxtrKDBg1i9uzZfPXVV9x4442XlP9v+/fvp3z58jRp0gTLsihVqtRl5YiIiIiIiEjBogYgKfDS0tJISkqiR48e9OrVy7U/MzOTkJAQALZv306tWrUuON9NdHS0Wy+aqKgoDh065FamevXqbq9zKvO3i10zNTWVYcOGsXTpUlJSUsjMzOTMmTPs37//wjf8DzfffDN79uzhm2++Yf369axcuZKJEycyfPhwBg8e7Co3btw40tLS2LJlC2XKlLnk/H+Li4ujdevWVKxYkdjYWNq2bcutt96aY1m73Y7dbnffl56Ozcfnsq8vIiIiIiLXrut5AuaCQHMASYGXmpoKwFtvvcX27dtd2w8//MA333wDgJ+f30VzvL293V5bluU2ROxSy/ztYtccMGAACxcu5MUXX2TNmjVs376datWqkZ6eftG6/rtOTZs2ZdCgQXz++eeMGDGCkSNHuuU0bdqUrKwsPvjgg1xl/1vt2rXZu3cvI0eO5MyZM9x7773cc889OZZNSEggJCTEbXvtzRn/6foiIiIiIiKSN9QDSAq8iIgIihUrxp49e+jcuXOOZapXr87bb7/N0aNHr9iqVxe75rp164iLi+Ouu+4CzjVkJScn/+frVqlShczMTM6ePYvP//e2qV+/Pn369CE2NhYvLy8GDBhw2fnBwcF06tSJTp06cc899xAbG5vjPcbHx9O/f3+3fceSd172dUVERERERCTvqAFIrgrDhw+nb9++hISEEBsbi91uZ8uWLRw7doz+/ftz//338+KLL9K+fXsSEhKIiori22+/pVixYjRs2DBP6nSxa5YvX54FCxZwxx13YFkWgwcPPm9vovNp3rw5999/P3Xr1qVw4cL89NNPPPfcc7Ro0YLg4GC3so0aNWLZsmXcdttteHl5XfLKX//06quvEhUVRa1atfDw8ODDDz8kMjKS0NDQbGVtNhs2m81t32kN/xIRERERkfOwPDQIKT/p6ctVoWfPnrz99tvMnDmTatWq0axZMxITEyldujQAPj4+fP755xQtWpTbb7+datWq8dJLL+Hp6ZlndbrYNV999VUKFSpEo0aNuOOOO4iJiaF27dq5ukZMTAyzZs3i1ltvpXLlyjzxxBPExMScd6hXkyZNWLp0KS+88AKvvfZaru8pKCiIMWPGULduXerVq0dycjLLli3DQx/UIiIiIiIiVzXL6XQ687sSInJtOPDzt8Yzj3uHG88sMmuo0byNCWuN5gG0mNbJeKZluIdWxpGjRvMAfEpf/iTm55Nato7RPN/Uv4zmAZwJjjSa95fPDUbzAErvX2k8E8ts47J18pjRPICjlW42nhmYmmI0zydph9E8AGy+xiPPlqpqNC/dJ9BoHsBZ7wDjmRZmf9V2Yn4CVS9HhtE8W0aq0TyAo37FjWd6WFlG8wLt5j+DMj3N967O8LBdvFAuOA1/lgNYztz1mr8U0eUqGM+U3NvZIfvqyvmh8vwV+V2FfKEhYCIiIiIiIiKS57QKWP7SuA4RERERERERkWucegCJiIiIiIiISJ5TD6D8pR5AIiIiIiIiIiLXODUAiYiIiIiIiIhc4zQETESM+curmPFMp8N8N1FHltlVP/Jixa5Vj84znlm3f32jef43mF25CoDTacYjvdPNZnodPWA0D4CgCKNxXlam0TyAE8XMruAE5ld58QxPN5oHkOFpdrUcgFNBZj8rAyqYr6PDw9N45hnfUKN5plcygrxZzSjQbnbFxDPeQUbzAHzTTxrNO20LNZoHkIX5f5OmP4PSvfyM5uWVLA+z/wW08mJR6Tz4XpSCQUPA8pe+s0RERERERERErnHqASQiIiIiIiIiec7yUB+U/KSnL9es5ORkLMti+/btAKxevRrLsjh+/Hi+1uu/iouLo3379hcsc63cq4iIiIiIiJihBiAx6q+//qJ3796ULFkSm81GZGQkMTExrFu3DgDLsli0aFG+1K1Ro0akpKQQEhKSJ/kPPfQQL7zwAnDuPv/eQkJCaNy4MV9++aWR60ycOJHExETX6+bNm9OvXz+3Mnl9ryIiIiIiInJ1UQOQGNWhQwe+/fZbZs2axS+//MLixYtp3rw5R44cye+q4ePjQ2RkJJZlfuKxrKwslixZwp133unaN3PmTFJSUli3bh1FihShbdu27Nmz5z9fKyQkhNDQ0AuWyct7FRERERERkauPGoDEmOPHj7NmzRpefvllWrRoQalSpahfvz7x8fHceeedREdHA3DXXXdhWZbrdVJSEu3atSMiIoLAwEDq1avHF1984ZYdHR3Niy++SPfu3QkKCqJkyZK8+eabbmU2bdpErVq18PX1pW7dunz77bdux/89LCoxMZHQ0FA+++wzKleuTGBgILGxsaSkpLjOyczMpG/fvoSGhlK4cGEGDRpEt27dsg3BWr9+Pd7e3tSrV8+1LzQ0lMjISKpWrcrUqVM5c+YMK1asAOCrr76ifv362Gw2oqKiePbZZ8nM/N+qPR999BHVqlXDz8+PwoUL06pVK9LSzq1k9M8hYHFxcXz11VdMnDjR1eMoOTk5xyFg8+fP58Ybb8RmsxEdHc24ceNy/YxFRERERETk6qQGIDEmMDCQwMBAFi1ahN1uz3Z88+bNwP96xvz9OjU1ldtvv52VK1fy7bffEhsbyx133MH+/fvdzh83bpyrYeexxx6jd+/e7Nq1y5XRtm1bqlSpwtatWxk2bBgDBgy4aJ1Pnz7N2LFjmT17Nl9//TX79+93O+/ll19mzpw5zJw5k3Xr1nHy5Mkch7AtXryYO+6447w9bvz8zi0Lmp6ezh9//MHtt99OvXr1+O6775g6dSrTp09n1KhRAKSkpHD//ffTvXt3du7cyerVq7n77rtx5rDE5sSJE2nYsCG9evUiJSWFlJQUSpQoka3c1q1buffee7nvvvvYsWMHw4YNY/DgwW5DyS72jEVERERERK5Xr7/+OtHR0fj6+tKgQQM2bdp03rLNmzd3mxbk761NmzauMnFxcdmOx8bG5uk9aBUwMcbLy4vExER69erFtGnTqF27Ns2aNeO+++6jevXqhIeHA//rGfO3GjVqUKNGDdfrkSNHsnDhQhYvXkyfPn1c+2+//XYee+wxAAYNGsT48eNZtWoVFStW5L333sPhcDB9+nR8fX258cYb+f333+ndu/cF65yRkcG0adMoW7YsAH369GHEiBGu46+99hrx8fHcddddAEyePJlly5Zly/n4448ZP358jtc4ffo0L7zwAp6enjRr1owpU6ZQokQJJk+ejGVZVKpUiT///JNBgwYxZMgQUlJSyMzM5O6776ZUqVIAVKtWLcfskJAQfHx88Pf3d3um//bqq6/SsmVLBg8eDECFChX46aefeOWVV4iLi3OVu9AzFhERERER+S88PK/OKSrmzZtH//79mTZtGg0aNGDChAnExMSwa9cuihYtmq38ggULSE9Pd70+cuQINWrUoGPHjm7lYmNjmTlzpuu1zWbLu5tAPYDEsA4dOvDnn3+yePFiYmNjWb16NbVr187W0+SfUlNTGTBgAJUrVyY0NJTAwEB27tyZrQdQ9erVXV9blkVkZCSHDh0CYOfOnVSvXh1fX19XmYYNG160vv7+/q7GH4CoqChX5okTJzh48CD169d3Hff09KROnTpuGTt37uTPP/+kZcuWbvvvv/9+AgMDCQoKYv78+UyfPp3q1auzc+dOGjZs6NZbqHHjxqSmpvL7779To0YNWrZsSbVq1ejYsSNvvfUWx44du+i9XMjOnTtp3Lix277GjRuze/dusrKyXPsu9Iz/zW63c/LkSbctPYeeXyIiIiIiIlezV199lV69evHQQw9RpUoVpk2bhr+/PzNmzMixfFhYGJGRka5txYoV+Pv7Z2sA+nvhpL+3QoUK5el9qAFIjPP19aV169YMHjyY9evXExcXx9ChQ89bfsCAASxcuJAXX3yRNWvWsH37dqpVq+bWYgrg7e3t9tqyLBwOx3+qa06ZOQ21upDFixfTunVrt8YngPHjx7N9+3YOHDjAgQMH6Nat2yXleXp6smLFCj799FOqVKnCa6+9RsWKFdm7d2+u6nU5cvOMExISCAkJcdvefmNSntdRRERERESuTpaHVSC2nP6YndM0JnBuGo+tW7fSqlUr1z4PDw9atWrFhg0bLum+p0+fzn333UdAQIDb/tWrV1O0aFEqVqxI796983zxJDUASZ6rUqWKawJjb29vtx4nAOvWrSMuLo677rqLatWqERkZSXJycq6uUblyZb7//nvOnj3r2vfNN9/8p3qHhIQQERHhmqsIzq32tW3bNrdyH3/8Me3atct2fmRkJOXKlXMNfftnXTds2ODW0LRu3TqCgoK44YYbgHMNL40bN2b48OF8++23+Pj4sHDhwhzr6ePjk+2Z/lvlypVZt26d275169ZRoUIFPD09L3ju+cTHx3PixAm3recjfS8rS0RERERE5ErJ6Y/ZCQkJOZY9fPgwWVlZREREuO2PiIjgwIEDF73Wpk2b+OGHH+jZs6fb/tjYWN555x1WrlzJyy+/zFdffcVtt9120f/b/ReaA0iMOXLkCB07dqR79+5Ur16doKAgtmzZwpgxY1wNJNHR0axcuZLGjRtjs9koVKgQ5cuXZ8GCBa5JlAcPHpzrnj0PPPAAzz//PL169SI+Pp7k5GTGjh37n+/piSeeICEhgXLlylGpUiVee+01jh075hq+dejQIbZs2cLixYsvOfOxxx5jwoQJPPHEE/Tp04ddu3YxdOhQ+vfvj4eHBxs3bmTlypXceuutFC1alI0bN/LXX39RuXLlHPOio6PZuHEjycnJBAYGEhYWlq3M008/Tb169Rg5ciSdOnViw4YNTJ48mSlTplzeg+Fcd8V/j1H1sZ257DwREREREZErIT4+nv79+7vty6v5d6ZPn061atXcphYBuO+++1xfV6tWjerVq1O2bFlWr16dbXoRU9QDSIwJDAykQYMGjB8/nptvvpmqVasyePBgevXqxeTJk4Fzq0ytWLGCEiVKUKtWLeDceMpChQrRqFEj7rjjDmJiYqhdu3aur/3JJ5+wY8cOatWqxfPPP8/LL7/8n+9p0KBB3H///XTt2pWGDRsSGBhITEyMa7jXJ598Qv369SlSpMglZxYvXpxly5axadMmatSowaOPPkqPHj144YUXAAgODubrr7/m9ttvp0KFCrzwwguMGzeO2267Lce8AQMG4OnpSZUqVQgPD882dxJA7dq1+eCDD5g7dy5Vq1ZlyJAhjBgxwm0CaBERERERkbxkeXgUiM1msxEcHOy2na8BqEiRInh6enLw4EG3/QcPHrzgQjwAaWlpzJ07lx49elz02ZQpU4YiRYrw66+/XvoDzSXLmdsJT0SuYw6Hg8qVK3PvvfcycuRI7rzzTpo0acLAgQPzu2oFwo5fD168UC45neZXCohMNPt+BZYpaTQPYNWj84xn1u1f/+KFcsH/hgv/wLsc3rloTL1U9op1Ll4oF2wH9hjNAzhVqsbFC+XCMd8oo3kAwRnmx6Rbzv82j9u/eWalX7xQLqX5Zu9V+V95OczWM+C0+ffG4XF5w4Mv5IxvqNG8DA/zf6l1Wub/NhpoP2o074x3kNE8gMCzZv8NnbaFGs0DSPU0n+lFhtE8m+Pq6Amd7ul78UK5YOXBfyctzGeWLlvOeKbk3t7ud+Z3FQAoPePSR3AANGjQgPr16/Paa68B5/5fWLJkSfr06cOzzz573vMSExN59NFH+eOPPyhcuPAFr/H7779TsmRJFi1axJ135s1z0hAwkQvYt28fn3/+Oc2aNcNutzN58mT27t3LAw88AECTJk24//7787mWIiIiIiIiklf69+9Pt27dqFu3LvXr12fChAmkpaXx0EMPAdC1a1eKFy+ebR6h6dOn0759+2yNP6mpqQwfPpwOHToQGRlJUlISAwcOpFy5csTExOTZfagBSOQCPDw8SExMZMCAATidTqpWrcoXX3zhmo9HPX9EREREREQujeVhvnf/ldCpUyf++usvhgwZwoEDB6hZsybLly93TQy9f/9+PDzce5Hu2rWLtWvX8vnnn2fL8/T05Pvvv2fWrFkcP36cYsWKceuttzJy5Mg8m4sI1AAkckElSpTItnqWiIiIiIiIXF/69OlDnz59cjy2evXqbPsqVqzI+Wbc8fPz47PPPjNZvUuiBiARERERERERyXNXaw+ga4VWARMRERERERERucapAUhERERERERE5BqnIWAiYkxeLNnp5ZFpPNOyzHY9tXx8jOaB+SXbAba8usloXtOXbzOaB+CwnzWe6fQw+6PO6etnNA/ML4fuQZbRPDBfRwCHZXapcY88WLo8L5z2DDaa52+ZXWYcwGH4+wbyZqlo0045zL43AL4eqUbz8mKp+iwPb+OZpjkp+MNGvLLSjWdm5cH3otNp9lleDe+NFByWh/qg5Cc9fRERERERERGRa5wagERERERERERErnFqABK5goYNG0bNmjXz/DrR0dFMmDAhz68jIiIiIiJyqSwPq0Bs1ys1AMlV58CBAzzxxBOUKVMGm81GiRIluOOOO1i5cmV+V+2iBgwYYLSeiYmJhIaGZtu/efNmHn74YWPXERERERERkaubJoGWq0pycjKNGzcmNDSUV155hWrVqpGRkcFnn33G448/zs8//5zfVbygwMBAAgMD8/w64eHheX4NERERERGR3NAk0PlLT1+uKo899hiWZbFp0yY6dOhAhQoVuPHGG+nfvz/ffPMNAPv376ddu3YEBgYSHBzMvffey8GDB10Zfw/DmjFjBiVLliQwMJDHHnuMrKwsxowZQ2RkJEWLFmX06NGuc5KTk7Esi+3bt7v2HT9+HMuyWL16NQCrV6/GsixWrlxJ3bp18ff3p1GjRuzatSvbtf9pxowZ3HjjjdhsNqKioujTp4/r2Kuvvkq1atUICAigRIkSPPbYY6Smprqu99BDD3HixAksy8KyLIYNGwZkHwJ2qc9k9uzZREdHExISwn333cepU6cu630SERERERGRgkUNQHLVOHr0KMuXL+fxxx8nICAg2/HQ0FAcDgft2rXj6NGjfPXVV6xYsYI9e/bQqVMnt7JJSUl8+umnLF++nPfff5/p06fTpk0bfv/9d7766itefvllXnjhBTZu3Jjrej7//POMGzeOLVu24OXlRffu3c9bdurUqTz++OM8/PDD7Nixg8WLF1OuXDnXcQ8PDyZNmsSPP/7IrFmz+PLLLxk4cCAAjRo1YsKECQQHB5OSkkJKSgoDBgzIdo3cPJNFixaxZMkSlixZwldffcVLL72U6/sXERERERGRgkdDwOSq8euvv+J0OqlUqdJ5y6xcuZIdO3awd+9eSpQoAcA777zDjTfeyObNm6lXrx5wrlFkxowZBAUFUaVKFVq0aMGuXbtYtmwZHh4eVKxYkZdffplVq1bRoEGDXNVz9OjRNGvWDIBnn32WNm3acPbsWXx9fbOVHTVqFE8//TRPPvmka9/fdQTo16+f6+vo6GhGjRrFo48+ypQpU/Dx8SEkJATLsoiMjDTyTBITEwkKCgKgS5curFy50q0nlIiIiIiIyGWzrt8JmAsC9QCSq4bT6bxomZ07d1KiRAlXQwdAlSpVCA0NZefOna590dHRroYOgIiICKpUqYLHP8akRkREcOjQoVzXs3r16q6vo6KiAHLMOXToEH/++SctW7Y8b9YXX3xBy5YtKV68OEFBQXTp0oUjR45w+vTpS67P5T6TqKioC96/3W7n5MmTblu63X7J9RIREREREZErRw1ActUoX748lmUZmejZ29vb7bVlWTnuczgcAK6GoX82QmVkZFw02/r/Fu6/c/7Jz8/vgnVMTk6mbdu2VK9enfnz57N161Zef/11ANLT0y947uW40P3nJCEhgZCQELft7TdeM14vERERERER+e/UACRXjbCwMGJiYnj99ddJS0vLdvz48eNUrlyZ3377jd9++821/6effuL48eNUqVLlsq/996paKSkprn3/nBD6cgQFBREdHX3eZeG3bt2Kw+Fg3Lhx3HTTTVSoUIE///zTrYyPjw9ZWVkXvE5ePZP4+HhOnDjhtvV85InLzhMRERERkWub5WEViO16pQYguaq8/vrrZGVlUb9+febPn8/u3bvZuXMnkyZNomHDhrRq1Ypq1arRuXNntm3bxqZNm+jatSvNmjWjbt26l31dPz8/brrpJl566SV27tzJV199xQsvvPCf72fYsGGMGzeOSZMmsXv3brZt28Zrr53rRVOuXDkyMjJ47bXX2LNnD7Nnz2batGlu50dHR5OamsrKlSs5fPhwjkPD8uqZ2Gw2goOD3TYfm+2y80RERERERCTvqAFIriplypRh27ZttGjRgqeffpqqVavSunVrVq5cydSpU7Esi48//phChQpx880306pVK8qUKcO8efP+87VnzJhBZmYmderUoV+/fowaNeo/Z3br1o0JEyYwZcoUbrzxRtq2bcvu3bsBqFGjBq+++iovv/wyVatWZc6cOSQkJLid36hRIx599FE6depEeHg4Y8aMyXaNvHwmIiIiIiIicnWwnJcys66IyCX44dcDxjM9rQsPcbscRWb+995b/xRYsazRPICTP+wynrnl1U1G85q+fJvRPACvsELGM9NrNjOaZzv628UL5VJa0XJG8477nX9lwMsVlH7UeKbD8jSa5+UwPz/aaZ8Q45npVvZVIf+LIqnJRvMAsjx9jGemeweYzfM0+xwBTjpDjWeGZ/158UK5kO514TkEL4e//bjRPLvh9xrglKf5nw/emP3MCMg4YTQPIMvD/KLNZz3Nvz9Xg3JlS+d3FQT448lO+V0FAIpPvD7/GK4eQCIiIiIiIiIi1zjzTcoiIiIiIiIiIv9ieagPSn7S0xcRERERERERucapAUhERERERERE5BqnIWAiIiIiIiIikucsDyu/q3BdUwOQiBjjb6UZz0zHZjzTtIwj5ldH8r/B/CpOplftWjPoU6N5AC2mmV8ZwsORYTTP6W1+5SELswtyOvOgg2/gsX3GMx2Gn6Xn6ZNG8wDSo240nhlgeEU177Pm79vHYX4FRkfIDUbzMjzN/3wo4jC/mqXTMvv9mOnhbTQPIMPwymKmP9MAspxmVw0E8Db8/1BPR6bZQPLm37knZr+/HYb/jYtI3lEDkIiIiIiIiIjkOU0Cnb/09EVERERERERErnFqABIRERERERERucapAUjkGpecnIxlWWzfvj2/qyIiIiIiItcxy8MqENv1Sg1AIgbExcVhWRaPPvpotmOPP/44lmURFxd3SVmmG2xKlChBSkoKVatWBWD16tVYlsXx48eN5IuIiIiIiEjBpwYgEUNKlCjB3LlzOXPmjGvf2bNnee+99yhZsmS+1Ck9PR1PT08iIyPx8tKc7yIiIiIiItcrNQCJGFK7dm1KlCjBggULXPsWLFhAyZIlqVWrlmvf8uXLadKkCaGhoRQuXJi2bduSlJTkOl66dGkAatWqhWVZNG/eHIDmzZvTr18/t2u2b9/erWdRdHQ0I0eOpGvXrgQHB/Pwww+79ShKTk6mRYsWABQqVMjVM+mdd96hcOHC2O32bPldunQx8XhEREREROQ6l99DvzQETESM6d69OzNnznS9njFjBg899JBbmbS0NPr378+WLVtYuXIlHh4e3HXXXTgcDgA2bdoEwBdffEFKSopbg9KlGDt2LDVq1ODbb79l8ODBbsdKlCjB/PnzAdi1axcpKSlMnDiRjh07kpWVxeLFi11lDx06xNKlS+nevXuuri8iIiIiIiIFj8aEiBj04IMPEh8fz759+wBYt24dc+fOZfXq1a4yHTp0cDtnxowZhIeH89NPP1G1alXCw8MBKFy4MJGRkbmuwy233MLTTz/tep2cnOz62tPTk7CwMACKFi1KaGio69gDDzzAzJkz6dixIwDvvvsuJUuWdPVAEhERERER+U881AclP6kBSMSg8PBw2rRpQ2JiIk6nkzZt2lCkSBG3Mrt372bIkCFs3LiRw4cPu3r+7N+/3zVR839Rt27dyzqvV69e1KtXjz/++IPixYuTmJjomtw6J3a7PduQMbvdjs1mu6zri4iIiIiISN5R85uIYd27dycxMZFZs2blOHzqjjvu4OjRo7z11lts3LiRjRs3AucmbL4QDw8PnE6n276MjIxs5QICAi6r3rVq1aJGjRq88847bN26lR9//PGCK5clJCQQEhLitk2bNu2yri0iIiIiIiJ5Sz2ARAyLjY0lPT0dy7KIiYlxO3bkyBF27drFW2+9RdOmTQFYu3atWxkfHx8AsrKy3PaHh4eTkpLiep2VlcUPP/zgmtT5Up0vH6Bnz55MmDCBP/74g1atWlGiRInz5sTHx9O/f3+3fX/8/nuu6iIiIiIiIteP840ukCtDPYBEDPP09GTnzp389NNPeHp6uh0rVKgQhQsX5s033+TXX3/lyy+/zNaIUrRoUfz8/Fi+fDkHDx7kxIkTwLm5fZYuXcrSpUv5+eef6d27N8ePH891/UqVKoVlWSxZsoS//vqL1NRU17EHHniA33//nbfeeuuikz/bbDaCg4PdNg3/EhERERERKZjUACSSB/5uEPk3Dw8P5s6dy9atW6latSpPPfUUr7zyilsZLy8vJk2axBtvvEGxYsVo164dcG5oWbdu3ejatSvNmjWjTJkyue79A1C8eHGGDx/Os88+S0REBH369HEdCwkJoUOHDgQGBtK+fftcZ4uIiIiIiEjBZDn/PamIiFzXWrZsyY033sikSZNyfe6epCTj9UnHfK+iwjMHG82zFSlkNA/A+lfvMROcOcwZ9V+sGfSp0TyAFtM6Gc/MrNXUaJ5X2nGjeQBnChU3mnfUz2weQLGDW41nOrx9jeZ5nj5pNA/gWNSNxjNt6akXL5QLvmmHjeYBWI7sw4T/q7SQG4zmnfEJMpoH4J1lv3ihfHbGO9B4pl+G2X+TzjwY4nHMI9x4pq91xmhesP2I0TyAs96XN7fjhWR5eBvNc1hXR5+CsmXK5HcVBDg8pEd+VwGAIiOm53cV8oXmABIRAI4dO8bq1atZvXo1U6ZMye/qiIiIiIiIiEFqABIR4NwqYMeOHePll1+mYsWK+V0dERERERG5xlgemgQ6P6kBSEQASE5Ozu8qiIiIiIiISB65OgZsioiIiIiIiIjIZVMPIBERERERERHJex7qg5Kf1AAkIsZk5cFHylmH+VXAfEKDzeaVzoNVJU6nGY902M8azcuLFbtWPTrPeGbLd82umOMoVtpoHphfcSnd6WM0D+B0iPmVxTK8/IzmeQWkG80DcFjmV+Q77FfCaF5hD/N1TLWFGc8MsB83nmnaH5Q0nlnCuddonsNp/v22nA6jeeme/kbzwPyKXXnB7m3+vvOCE7NzsJheRU5E8o6a30RERERERERErnFqABIRERERERERucapAUjkGhEdHc2ECRPyuxoiIiIiIiJSAKkBSASIi4vDsiwsy8Lb25uIiAhat27NjBkzcDjMjovPK5s3b+bhhx/O72qIiIiIiIjkyPKwCsR2vVIDkMj/i42NJSUlheTkZD799FNatGjBk08+Sdu2bcnMzMzv6l1UeHg4/v5Xx+SDIiIiIiIicmWpAUjk/9lsNiIjIylevDi1a9fmueee4+OPP+bTTz8lMTGR7t2707ZtW7dzMjIyKFq0KNOnTwegefPm9O3bl4EDBxIWFkZkZCTDhg1zO+fVV1+lWrVqBAQEUKJECR577DFSU/+3ekJiYiKhoaEsWbKEihUr4u/vzz333MPp06eZNWsW0dHRFCpUiL59+5KV9b+Vg/45BMzpdDJs2DBKliyJzWajWLFi9O3b163sqFGj6Nq1K4GBgZQqVYrFixfz119/0a5dOwIDA6levTpbtmwx/JRFREREREQkP6gBSOQCbrnlFmrUqMGCBQvo2bMny5cvJyUlxXV8yZIlnD59mk6d/rcc9qxZswgICGDjxo2MGTOGESNGsGLFCtdxDw8PJk2axI8//sisWbP48ssvGThwoNt1T58+zaRJk5g7dy7Lly9n9erV3HXXXSxbtoxly5Yxe/Zs3njjDT766KMc6z1//nzGjx/PG2+8we7du1m0aBHVqlVzKzN+/HgaN27Mt99+S5s2bejSpQtdu3blwQcfZNu2bZQtW5auXbvidDpNPEoREREREbnOWZZHgdiuV9fvnYtcokqVKpGcnEyjRo2oWLEis2fPdh2bOXMmHTt2JDAw0LWvevXqDB06lPLly9O1a1fq1q3LypUrXcf79etHixYtiI6O5pZbbmHUqFF88MEHbtfMyMhg6tSp1KpVi5tvvpl77rmHtWvXMn36dKpUqULbtm1p0aIFq1atyrHO+/fvJzIyklatWlGyZEnq169Pr1693MrcfvvtPPLII5QvX54hQ4Zw8uRJ6tWrR8eOHalQoQKDBg1i586dHDx40MRjFBERERERkXykBiCRi3A6nVjWuYnCevbsycyZMwE4ePAgn376Kd27d3crX716dbfXUVFRHDp0yPX6iy++oGXLlhQvXpygoCC6dOnCkSNHOH36tKuMv78/ZcuWdb2OiIggOjraraEpIiLCLfefOnbsyJkzZyhTpgy9evVi4cKF2eYx+mc9IyIiANx6Cf2973zXsNvtnDx50m1Lt9tzLCsiIiIiIiL5Sw1AIhexc+dOSpcuDUDXrl3Zs2cPGzZs4N1336V06dI0bdrUrby3t7fba8uyXCuJJScn07ZtW6pXr878+fPZunUrr7/+OgDp6ekXzLhQ7r+VKFGCXbt2MWXKFPz8/Hjssce4+eabycjIyPEafzdw5bTvfNdISEggJCTEbZs2bUqOZUVERERERPCwCsZ2nfLK7wqIFGRffvklO3bs4KmnngKgcOHCtG/fnpkzZ7JhwwYeeuihXOVt3boVh8PBuHHj8PA41/767+Ffpvj5+XHHHXdwxx138Pjjj1OpUiV27NhB7dq1jeTHx8fTv39/t32//X7ASLaIiIiIiIiYpQYgkf9nt9s5cOAAWVlZHDx4kOXLl5OQkEDbtm3p2rWrq1zPnj1p27YtWVlZdOvWLVfXKFeuHBkZGbz22mvccccdrFu3jmnTppm+FRITE8nKyqJBgwb4+/vz7rvv4ufnR6lSpYxdw2azYbPZ3Pb52I4ZyxcRERERkWuL5aFBSPlJT1/k/y1fvpyoqCiio6OJjY1l1apVTJo0iY8//hhPT09XuVatWhEVFUVMTAzFihXL1TVq1KjBq6++yssvv0zVqlWZM2cOCQkJpm+F0NBQ3nrrLRo3bkz16tX54osv+OSTTyhcuLDxa4mIiIiIiEjBZzm1xrNIrqSmplK8eHFmzpzJ3Xffnd/VKVB2J+0znpnm8DeeWfrjUUbzbOXLG80D4HSa8UiH/azZwKwss3nAqkfnGc9s+W4Po3mOYqWN5gGcDYk0mpfiX85oHkBR+37jmRlefkbzvLLSL14ol+ze5j+D0jyCjeYVtv9pNA8g1RZmPDPAftxo3hmfIKN5AIeyIoxnlnDuNZp3ytv8exOYYbYHr93L/PdNpuV98UL5zOY4YzzTifm5SjI9fIzm+Waa/50lLxSrWP3ihSTPHX+5T35XAYDQQZPzuwr5QkPARC6Rw+Hg8OHDjBs3jtDQUO688878rpKIiIiIiMhVw7qOJ2AuCNQAJHKJ9u/fT+nSpbnhhhtITEzEy0vfPiIiIiIiInJ10P9gRS5RdHQ0GjEpIiIiIiIiVyM1AImIiIiIiIhI3rO0DlV+0tMXEREREREREbnGqQeQiIiIiIiIiOQ5TQKdv9QAJCLGeDvtxjN98mDZV+/6jY3mpYaVMJoH4J1ufklVp4fZj3wPR4bRPICW7wYaz1z54HSjeY03TTWaB3DWFmI0L8vpaTQPwO4dYDzzlGcho3mWl/l52nydp41n+mD2s/KwrbjRPIDTWX7GM502s7/0Z2L+50OAp/n325lp9r4tHEbzABweZj8zTjpDjeYBBFknjWdmYfa+0z19jeYBeDjNv98ZmF0GPijzsNE8ACsP7ltENARMREREREREROSapx5AIiIiIiIiIpL3PNQHJT/p6YsUYKtXr8ayLI4fP37eMomJiYSGhrpeDxs2jJo1a7pex8XF0b59+zyro4iIiIiIiBR8agASMSwuLg7Lsnj00UezHXv88cexLIu4uDhj1+vUqRO//PLLeY9PnDiRxMRE1+vmzZvTr18/Y9cXERERERGRgk8NQCJ5oESJEsydO5czZ8649p09e5b33nuPkiVLGr2Wn58fRYsWPe/xkJAQtx5CIiIiIiIi+cGyrAKxXa/UACSSB2rXrk2JEiVYsGCBa9+CBQsoWbIktWrVcu2z2+307duXokWL4uvrS5MmTdi8eXO2vHXr1lG9enV8fX256aab+OGHH1zH/j0E7N/+OQQsLi6Or776iokTJ7o+/Pbu3Uu5cuUYO3as23nbt2/Hsix+/fXXy3wKIiIiIiIiUlCoAUgkj3Tv3p2ZM2e6Xs+YMYOHHnrIrczAgQOZP38+s2bNYtu2bZQrV46YmBiOHj3qVu6ZZ55h3LhxbN68mfDwcO644w4yMnK/BPfEiRNp2LAhvXr1IiUlhZSUFEqWLJmtrgAzZ87k5ptvply5crm+joiIiIiISDYeHgVju05dv3cukscefPBB1q5dy759+9i3bx/r1q3jwQcfdB1PS0tj6tSpvPLKK9x2221UqVKFt956Cz8/P6ZPn+6WNXToUFq3bk21atWYNWsWBw8eZOHChbmuU0hICD4+Pvj7+xMZGUlkZCSenp7ExcWxa9cuNm3aBEBGRgbvvfce3bt3/28PQURERERERAoELQMvkkfCw8Np06YNiYmJOJ1O2rRpQ5EiRVzHk5KSyMjIoHHjxq593t7e1K9fn507d7plNWzY0PV1WFgYFStWzFbmvyhWrBht2rRhxowZ1K9fn08++QS73U7Hjh3Pe47dbsdut/9rXzo2m4+xeomIiIiIiIgZ6gEkkoe6d+9OYmIis2bNKvC9aXr27OmauHrmzJl06tQJf3//85ZPSEggJCTEbZv6xhtXsMYiIiIiIiJyqdQAJJKHYmNjSU9PJyMjg5iYGLdjZcuWxcfHh3Xr1rn2ZWRksHnzZqpUqeJW9ptvvnF9fezYMX755RcqV658WXXy8fEhKysr2/7bb7+dgIAApk6dyvLlyy/aYBUfH8+JEyfctt6PPHJZdRIREREREZG8pSFgInnI09PTNVTL09PT7VhAQAC9e/fmmWeeISwsjJIlSzJmzBhOnz5Njx493MqOGDGCwoULExERwfPPP0+RIkVcK3vlVnR0NBs3biQ5OZnAwEDCwsLw8PBwzQUUHx9P+fLl3Yad5cRms2Gz2dz2HdXwLxERERERkQJJPYBE8lhwcDDBwcE5HnvppZfo0KEDXbp0oXbt2vz666989tlnFCpUKFu5J598kjp16nDgwAE++eQTfHwur7FlwIABeHp6UqVKFcLDw9m/f7/rWI8ePUhPT8+2WpmIiIiIiMh/ZXlYBWK7XllOp9OZ35UQkYJhzZo1tGzZkt9++42IiIhcn5/86y/G63SaQOOZ0X+uNZp3OqyE0TwA7/Q045lOD7OdPj0cGUbzAHx2f2s8c+WD0y9eKBcab5pqNA/gtH+RixfKhcMekUbzAMKch4xnnvIsdPFCuWBh/lcaX+dp45kOy/PihXLBjq/RPIDTWX7GMwt5HjOal4m30TyATKf5zvGFMs1+76R5hxjNA/DLSjWad8TK/e8QFxPkcdJ4ZhZmvxcty/xnkIfTYTwzHdvFC+VC2Nk/jeYBWHlw30WqXrh3u1wZqa8PzO8qABD4+Jj8rkK+0BAwEcFut/PXX38xbNgwOnbseFmNPyIiIiIiIhdkaRBSftLTFxHef/99SpUqxfHjxxkz5vpsDRcREREREbmWqQFIRIiLiyMrK4utW7dSvHjx/K6OiIiIiIiIGKYGIBERERERERHJex5Wwdguw+uvv050dDS+vr40aNCATZs2nbdsYmIilmW5bb6+7nP2OZ1OhgwZQlRUFH5+frRq1Yrdu3dfVt0ulRqARERERERERETOY968efTv35+hQ4eybds2atSoQUxMDIcOnX+i/+DgYFJSUlzbvn373I6PGTOGSZMmMW3aNDZu3EhAQAAxMTGcPXs2z+5Dk0CLiDF2y/yqMekO86u8eJw6ajTP18f8CjxeRw8Yz3T6mn1/nN7m79tRrLTxTNOrdq2r39toHkCdHXON5tk87EbzANIwv/KQjbz7BceULMOr5wE4nWaXn406uctoHkCGT4DxzKOexYxnmuZpZRnP9HKkG83zxHwdfdNPGc3z8ws2mgfgyIuJYw0v2pUXK3blxWpYPpbZnxGnfM2uZAng6cw0nmm+lnI9efXVV+nVqxcPPfQQANOmTWPp0qXMmDGDZ599NsdzLMsiMjLnlVmdTicTJkzghRdeoF27dgC88847REREsGjRIu677748uQ/1ABIRERERERGRPGdZHgVis9vtnDx50m2z23NuHE1PT2fr1q20atXKtc/Dw4NWrVqxYcOG895ramoqpUqVokSJErRr144ff/zRdWzv3r0cOHDALTMkJIQGDRpcMPO/UgOQiIiIiIiIiFw3EhISCAkJcdsSEhJyLHv48GGysrKIiIhw2x8REcGBAzn32q9YsSIzZszg448/5t1338XhcNCoUSN+//13ANd5uck0QQ1AIteIxMREQkNDXa+HDRtGzZo1L+nc3JQVERERERG5LPk9+fP/b/Hx8Zw4ccJti4+PN3abDRs2pGvXrtSsWZNmzZqxYMECwsPDeeONN4xd43KoAUjkCoiLi8s2C7xlWcTGxubZNQcMGMDKlSvzLF9ERERERORqZLPZCA4OdttsNluOZYsUKYKnpycHDx5023/w4MHzzvHzb97e3tSqVYtff/0VwHXef8m8HGoAErlCYmNj3WaBT0lJ4f3338+z6wUGBlK4cOE8yxcREREREbnW+fj4UKdOHbc/rjscDlauXEnDhg0vKSMrK4sdO3YQFRUFQOnSpYmMjHTLPHnyJBs3brzkzMuhBiCRK8RmsxEZGem2FSpUCDg3Q/zbb7/NXXfdhb+/P+XLl2fx4sVu5y9evJjy5cvj6+tLixYtmDVrFpZlcfz48Ryv9+9hXatXr6Z+/foEBAQQGhpK48aNsy1FOHv2bKKjowkJCeG+++7j1Cmzq4KIiIiIiMj1y/LwKBBbbvXv35+33nqLWbNmsXPnTnr37k1aWpprVbCuXbu6DSEbMWIEn3/+OXv27GHbtm08+OCD7Nu3j549e557DpZFv379GDVqFIsXL2bHjh107dqVYsWK0b59eyPPOidaBl6kgBg+fDhjxozhlVde4bXXXqNz587s27ePsLAw9u7dyz333MOTTz5Jz549+fbbbxkwYMAlZ2dmZtK+fXt69erF+++/T3p6Ops2bcKy/rcUcVJSEosWLWLJkiUcO3aMe++9l5deeonRo0fnxe2KiIiIiIhcFTp16sRff/3FkCFDOHDgADVr1mT58uWuSZz379+Pxz8alo4dO0avXr04cOAAhQoVok6dOqxfv54qVaq4ygwcOJC0tDQefvhhjh8/TpMmTVi+fDm+vr55dh9qABK5QpYsWUJgYKDbvueee47nnnsOODdP0P333w/Aiy++yKRJk9i0aROxsbG88cYbVKxYkVdeeQU4N6v8Dz/8cMmNMydPnuTEiRO0bduWsmXLAlC5cmW3Mg6Hg8TERIKCggDo0qULK1euVAOQiIiIiIhc9/r06UOfPn1yPLZ69Wq31+PHj2f8+PEXzLMsixEjRjBixAhTVbwoNQCJXCEtWrRg6tSpbvvCwsJcX1evXt31dUBAAMHBwRw6dAiAXbt2Ua9ePbdz69evf8nXDgsLIy4ujpiYGFq3bk2rVq249957XWNQAaKjo12NPwBRUVGu6+fEbrdjt9vd9qXb7ficZ/I0ERERERG5zv1jBIJceZoDSOQKCQgIoFy5cm7bPxuAvL293cpbloXD4TB2/ZkzZ7JhwwYaNWrEvHnzqFChAt98881lXz8hIYGQkBC37Y1prxurr4iIiIiIiJijBiCRq0DFihXZsmWL277NmzfnOqdWrVrEx8ezfv16qlatynvvvXfZdYqPj+fEiRNu2yOPPn7ZeSIiIiIico3z8CgY23Xq+r1zkSvMbrdz4MABt+3w4cOXdO4jjzzCzz//zKBBg/jll1/44IMPSExMBHCbyPl89u7dS3x8PBs2bGDfvn18/vnn7N69O9s8QLlhs9kIDg522zT8S0REREREpGBSA5DIFbJ8+XKioqLctiZNmlzSuaVLl+ajjz5iwYIFVK9enalTp/L8888D5xpiLsbf35+ff/6ZDh06UKFCBR5++GEef/xxHnnkkf90TyIiIiIiInJ1sJxOpzO/KyEiuTd69GimTZvGb7/9lt9VcdmVZL4uZxzml0Gs9Mt8o3mZhYsZzQPwOnrAeKbT189snnfeLVFpUnpgYaN56+r3NpoHUGfHXKN5J7yLGM3LK96k53cVLsqZB5NVOp1mM4uc3Gs0DyDDJ8B45lFf85+VV4Mwe4rRvFRb2MUL5VLwmfMv+nA5jvoVN5oH4GFlGc80/b3oifk6Wk5z80H+zWmZ7QPgxPznpKcz03hmqXIVjWdK7p2edeVWvLoQ/25D8rsK+UKrgIlcJaZMmUK9evUoXLgw69at45VXXjnvMoQiIiIiIiIi/6QGIJGrxO7duxk1ahRHjx6lZMmSPP3008THx+d3tUREREREROQqoAYgkavE+PHjGT9+fH5XQ0RERERE5LJY1/EKXAWBnr6IiIiIiIiIyDVODUAiIiIiIiIiItc4NQCJiIiIiIiIiFzjNAeQiBjjyIM25SDPU8Yz06PKGs2z+4YYzQMgKMJ4pOmlZC2cRvMALIf5JXTP2sy+P6aXbAfYWu0+o3lVdy42mgfg5TC/ZLvlNPtvKN3T12gewElHqPHMdIe30bzTgVWN5gGczrIZz6xweofRvLM+wUbzAHallzee6eNvN5p3ymH+vtP9zL7fPpi9ZwDPrAzjmaEn9xvNOxYSbTQPIDzle+OZe6KaGs8UkauDGoBEREREREREJO9ZGoSUn/T0RURERERERESucWoAErmKJSYmEhoamifZw4YNo2bNmnmSLSIiIiIiIleWGoBECqi4uDjat2+fbf/q1auxLIvjx4/TqVMnfvnllytfORERERERkdzysArGdp3SHEAiVzE/Pz/8/PzOezw9PR0fH58rWCMREREREREpiNQDSOQq9u8hYH8P23r77bcpXbo0vr7nVsQ5fvw4PXv2JDw8nODgYG655Ra+++47t6yXXnqJiIgIgoKC6NGjB2fPnr2StyIiIiIiItc4y/IoENv16vq9c5Fr1K+//sr8+fNZsGAB27dvB6Bjx44cOnSITz/9lK1bt1K7dm1atmzJ0aNHAfjggw8YNmwYL774Ilu2bCEqKoopU6bk412IiIiIiIiISRoCJlKALVmyhMDAQLd9WVlZFzwnPT2dd955h/DwcADWrl3Lpk2bOHToEDabDYCxY8eyaNEiPvroIx5++GEmTJhAjx496NGjBwCjRo3iiy++UC8gERERERGRa4QagEQKsBYtWjB16lS3fRs3buTBBx887zmlSpVyNf4AfPfdd6SmplK4cGG3cmfOnCEpKQmAnTt38uijj7odb9iwIatWrTrvdex2O3a73W1fut2Oz/83MomIiIiIiLi5jidgLgjUACRSgAUEBFCuXDm3fb///vtFz/mn1NRUoqKiWL16dbay/2UJ+YSEBIYPH+6277EnnqLPk09fdqaIiIiIiIjkDTUAiVzjateuzYEDB/Dy8iI6OjrHMpUrV2bjxo107drVte+bb765YG58fDz9+/d327f398P/ub4iIiIiIiJinhqARK5xrVq1omHDhrRv354xY8ZQoUIF/vzzT5YuXcpdd91F3bp1efLJJ4mLi6Nu3bo0btyYOXPm8OOPP1KmTJnz5tpsNtecQn/zsZ3K69sREREREZGr1XW8AldBoKcvco2zLItly5Zx880389BDD1GhQgXuu+8+9u3bR0REBACdOnVi8ODBDBw4kDp16rBv3z569+6dzzUXERERERERUyyn0+nM70qIyLVhZ9IfxjN9LPvFC+VS+PEko3l23xCjeQDkwUez5XSYzSMP6ui48Cp3l+Oszez74+E0X8et1e4zmld152KjeQBejnTjmZbhf+fpnr5G8wBOOkONZ6Y7vI3m+XhkGM0DOJ1lfkL/Chk7jOad9Qk2mgewK7288cxof7M/G085zN+3zcPsz1ofzP/s9nSY/3ceenK/0bxjIdFG8wDCU743nrknqqnxzKtB1XKR+V0FAc5+OC6/qwCAb8frc95S9QASEREREREREbnGqQFIREREREREROQap0mgRURERERERCTveagPSn7S0xcRERERERERucapAUhERERERERE5BqnIWAiYown5ldH8jC8chVASkglo3lZTk+jeQBeVqbxTA/D748zD/6GkO70MZ5p+v0xvVoOmF+164fKdxrNA4jeudp4ZobT7K8hWQ7z34shnieMZ1YvX9po3i9JZlcyAvDzOGM885B3tNE8b8v8ynQtKvoZz0zaY/azshCHjeYBOAx/TmZY5j/LLcv87wN/FTK76punw/zP7kNRNYxn+ltpRvOef8PsyoZ55f0x+V0DAcBSH5T8pKcvIiIiIiIiInKNUw8gEREREREREcl7HlZ+1+C6ph5AIiIiIiIiIiLXODUAiVxhw4YNo2bNmhcsExcXR/v27a9IfUREREREROTapwag61RcXByWZWXbYmNj87tq+e6fzyM4OJh69erx8ccfG8sfMGAAK1euNJYnIiIiIiJyVbA8CsZ2nbp+71yIjY0lJSXFbXv//fcvO8/pdJKZaX71g/wwc+ZMUlJS2LJlC40bN+aee+5hx44dRrIDAwMpXLiwkSwRERERERGRS6EGoOuYzWYjMjLSbStUqBAAycnJWJbF9u3bXeWPHz+OZVmsXr0agNWrV2NZFp9++il16tTBZrOxdu1a7HY7ffv2pWjRovj6+tKkSRM2b97syvn7vKVLl1K9enV8fX256aab+OGHH9zqt3btWpo2bYqfnx8lSpSgb9++pKX9b9nK2bNnU7duXYKCgoiMjOSBBx7g0KFD2a6zcuVK6tati7+/P40aNWLXrl0XfTahoaFERkZSoUIFRo4cSWZmJqtWrXId/+2337j33nsJDQ0lLCyMdu3akZyc7Hbt+vXrExAQQGhoKI0bN2bfvn1A9iFgWVlZ9O/fn9DQUAoXLszAgQNxOp1u9XE4HCQkJFC6dGn8/PyoUaMGH330Ua7v9ZNPPqFevXr4+vpSpEgR7rrrLtcxu93OgAEDKF68OAEBATRo0MD1XouIiIiIiMjVTQ1A8p89++yzvPTSS+zcuZPq1aszcOBA5s+fz6xZs9i2bRvlypUjJiaGo0ePup33zDPPMG7cODZv3kx4eDh33HEHGRkZACQlJREbG0uHDh34/vvvmTdvHmvXrqVPnz6u8zMyMhg5ciTfffcdixYtIjk5mbi4uGz1e/755xk3bhxbtmzBy8uL7t27X/K9ZWZmMn36dAB8fHxc142JiSEoKIg1a9awbt06AgMDiY2NJT09nczMTNq3b0+zZs34/vvv2bBhAw8//DCWlfOM9+PGjSMxMZEZM2awdu1ajh49ysKFC93KJCQk8M477zBt2jR+/PFHnnrqKR588EG++uqrS77XpUuXctddd3H77bfz7bffsnLlSurXr+863qdPHzZs2MDcuXP5/vvv6dixI7GxsezevfuSn5eIiIiIiIgUTFoG/jq2ZMkSAgMD3fY999xzPPfcc7nKGTFiBK1btwYgLS2NqVOnkpiYyG233QbAW2+9xYoVK5g+fTrPPPOM67yhQ4e6zps1axY33HADCxcu5N577yUhIYHOnTvTr18/AMqXL8+kSZNo1qwZU6dOxdfX161xo0yZMkyaNIl69eqRmprqdl+jR4+mWbNmwLnGqjZt2nD27Fl8fX3Pe0/3338/np6enDlzBofDQXR0NPfeey8A8+bNw+Fw8Pbbb7sadWbOnEloaCirV6+mbt26nDhxgrZt21K2bFkAKleufN5rTZgwgfj4eO6++24Apk2bxmeffeY6brfbefHFF/niiy9o2LCh637Xrl3LG2+84bq3i93r6NGjue+++xg+fLirfI0aNQDYv38/M2fOZP/+/RQrVgw4N1fR8uXLmTlzJi+++OJ56y8iIiIiIiIFnxqArmMtWrRg6tSpbvvCwsJynVO3bl3X10lJSWRkZNC4cWPXPm9vb+rXr8/OnTvdzvu7MePv61asWNFV5rvvvuP7779nzpw5rjJOpxOHw8HevXupXLkyW7duZdiwYXz33XccO3YMh8MBnGvMqFKliuu86tWru76OiooC4NChQ5QsWfK89zR+/HhatWrFnj17eOqpp5g0aZLr2Xz33Xf8+uuvBAUFuZ1z9uxZkpKSuPXWW4mLiyMmJobWrVvTqlUr7r33Xte1/+nEiROkpKTQoEED1z4vLy/q1q3rGgb266+/cvr0aVdj2d/S09OpVauW274L3ev27dvp1atXjve7Y8cOsrKyqFChgtt+u91+3vmK7HY7drvdvU52Oz42W47lRURERETkOneeURFyZagB6DoWEBBAuXLlcjzm4XFudOA/56L5e3hWTjmmpaam8sgjj9C3b99sx0qWLElaWhoxMTHExMQwZ84cwsPD2b9/PzExMaSnp7uV9/b2dn39d4+dvxuLzicyMpJy5cpRrlw5Zs6cye23385PP/1E0aJFSU1NpU6dOm6NU38LDw8HzvUI6tu3L8uXL2fevHm88MILrFixgptuuumyngWcG8JVvHhxt2O2fzW2XOhe/fz8LngNT09Ptm7diqenp9uxf/cS+1tCQoJbbyKAPk/044knn7rQ7YiIiIiIiEg+0BxAkqO/GzJSUlJc+/45IfT5lC1bFh8fH9atW+fal5GRwebNm9165QB88803rq+PHTvGL7/84hoqVbt2bX766SdXI8w/Nx8fH37++WeOHDnCSy+9RNOmTalUqZLbBNAm1a9fnzp16jB69GhX3Xbv3k3RokWz1S0kJMR1Xq1atYiPj2f9+vVUrVqV9957L1t2SEgIUVFRbNy40bUvMzOTrVu3ul5XqVIFm83G/v37s12vRIkSl3wf1atXP+/y87Vq1SIrK4tDhw5lu0ZkZGSO58THx3PixAm37ZFHH7vk+oiIiIiIiMiVox5A1zG73c6BAwfc9nl5eVGkSBH8/Py46aabeOmllyhdujSHDh3ihRdeuGhmQEAAvXv35plnniEsLIySJUsyZswYTp8+TY8ePdzKjhgxgsKFCxMREcHzzz9PkSJFaN++PQCDBg3ipptuok+fPvTs2ZOAgAB++uknVqxYweTJkylZsiQ+Pj689tprPProo/zwww+MHDnS2LP5t379+nHXXXcxcOBAOnfuzCuvvEK7du0YMWIEN9xwA/v27WPBggUMHDiQjIwM3nzzTe68806KFSvGrl272L17N127ds0x+8knn+Sll16ifPnyVKpUiVdffZXjx4+7jgcFBTFgwACeeuopHA4HTZo04cSJE6xbt47g4GC6det2SfcwdOhQWrZsSdmyZbnvvvvIzMxk2bJlDBo0iAoVKtC5c2e6du3KuHHjqFWrFn/99RcrV66kevXqtGnTJluezWbL1gPJx3Y8WzkREREREREAPNQHJT/p6V/Hli9fTlRUlNvWpEkT1/EZM2aQmZlJnTp16NevH6NGjbqk3JdeeokOHTrQpUsXateuza+//spnn33mWmL+n+WefPJJ6tSpw4EDB/jkk09cK21Vr16dr776il9++YWmTZtSq1YthgwZ4pqgODw8nMTERD788EOqVKnCSy+9xNixYw09mexiY2MpXbo0o0ePxt/fn6+//pqSJUty9913U7lyZXr06MHZs2cJDg7G39+fn3/+mQ4dOlChQgUefvhhHn/8cR555JEcs59++mm6dOlCt27daNiwIUFBQW7LswOMHDmSwYMHk5CQQOXKlYmNjWXp0qWULl36ku+hefPmfPjhhyxevJiaNWtyyy23sGnTJtfxmTNn0rVrV55++mkqVqxI+/bt2bx58wXnShIREREREZGrg+X85yQvIlfA6tWradGiBceOHSM0NDS/qyMG/ZK033imN+kXL5RL6ZidqDrL6XnxQrnkZWUaz/Qgy2ieMw/+hpDu9DGeafr9sXnYL14ol3ydp43m/VD5TqN5ANE7VxvPzHCa7YicF9+LIZ4njGeWK3vpjfeXIi8+ey3M/3qYhdn3x9sy//OhbJkyxjOT9uwxmueTddZoHoDDMvveZFjmP8u9nDnPRflfZHmY/QzydJj/2Z0XTL/fz7/hffFCBcD7Y/RHzYLg7JKpFy90Bfi27Z3fVcgXGgImIiIiIiIiInlPq4DlKw0BExERERERERG5xqkHkFxxzZs3RyMPRURERERErjOW+qDkJz19EREREREREZFrnBqARERERERERESucRoCJiLGhNoPGc/M9DS/kkiIPcVont/hZKN5ACeKVTWeaTkdRvMCj+0zmgdwOqS48Uy7d4DRvDRCjOYBeDnMrmaUFyt2JVdubjzzlpndjOZlHD5sNA8g9bY445knt60wmlfy8O9G8wCcXuZ/RTxTJNpoXqaXn9E8gH2/ml9p6qSzsNE8TwKN5gEct5v9nKyatc1oHkCybxXjmaHWcaN53g7zq0Se8TT/fluW2akYJsaZ//3PwuzvLOdoFbACwUN9UPKTnr6IiIiIiIiIyDVODUAiIiIiIiIiItc4NQCJXOMSExMJDQ3N72qIiIiIiMj1zrIKxnadUgOQFHgbNmzA09OTNm3aXLFrJiYmYlkWlmXh4eFBVFQUnTp1Yv/+/VesDqZ06tSJX375JVfnNG/enH79+uVNhUREREREROSKUwOQFHjTp0/niSee4Ouvv+bPP/+8YtcNDg4mJSWFP/74g/nz57Nr1y46dux4xa5vip+fH0WLFs3vaoiIiIiIyPXO8igY23Xq+r1zuSqkpqYyb948evfuTZs2bUhMTMxWZvHixZQvXx5fX19atGjBrFmzsCyL48ePu8qsXbuWpk2b4ufnR4kSJejbty9paWkXvLZlWURGRhIVFUWjRo3o0aMHmzZt4uTJk64ygwYNokKFCvj7+1OmTBkGDx5MRsb/VhAZNmwYNWvWZPbs2URHRxMSEsJ9993HqVOnXGVOnTpF586dCQgIICoqivHjx2frgWO32xkwYADFixcnICCABg0asHr16kt6hv8eAnaxOsXFxfHVV18xceJEVy+o5OTkS7qWiIiIiIiIFExqAJIC7YMPPqBSpUpUrFiRBx98kBkzZuB0/m/pyr1793LPPffQvn17vvvuOx555BGef/55t4ykpCRiY2Pp0KED33//PfPmzWPt2rX06dPnkutx6NAhFi5ciKenJ56enq79QUFBJCYm8tNPPzFx4kTeeustxo8fn+36ixYtYsmSJSxZsoSvvvqKl156yXW8f//+rFu3jsWLF7NixQrWrFnDtm3uy6f26dOHDRs2MHfuXL7//ns6duxIbGwsu3fvvuR7uNQ6TZw4kYYNG9KrVy9SUlJISUmhRIkSl3UdERERERERKRi88rsCIhcyffp0HnzwQQBiY2M5ceIEX331Fc2bNwfgjTfeoGLFirzyyisAVKxYkR9++IHRo0e7MhISEujcubOrR0358uWZNGkSzZo1Y+rUqfj6+uZ47RMnThAYGIjT6eT06dMA9O3bl4CAAFeZF154wfV1dHQ0AwYMYO7cuQwcONC13+FwkJiYSFBQEABdunRh5cqVjB49mlOnTjFr1izee+89WrZsCcDMmTMpVqyY6/z9+/czc+ZM9u/f79o/YMAAli9fzsyZM3nxxRdz/VwvVKeQkBB8fHzw9/cnMjIy19kiIiIiIiI5uo4nYC4I1AAkBdauXbvYtGkTCxcuBMDLy4tOnToxffp0VwPQrl27qFevntt59evXd3v93Xff8f333zNnzhzXPqfTicPhYO/evVSuXDnH6wcFBbFt2zYyMjL49NNPmTNnjlvDEsC8efOYNGkSSUlJpKamkpmZSXBwsFuZ6OhoV0MLQFRUFIcOHQJgz549ZGRkuNU5JCSEihUrul7v2LGDrKwsKlSo4JZrt9spXLhwjnW/mAvV6VLZ7Xbsdrv7vvR0bD4+l1UnERERERERyTtqAJICa/r06WRmZrr1hnE6ndhsNiZPnkxISMgl5aSmpvLII4/Qt2/fbMdKlix53vM8PDwoV64cAJUrVyYpKYnevXsze/Zs4NzqZJ07d2b48OHExMQQEhLC3LlzGTdunFuOt7e322vLsnA4HJdU97/r7+npydatW92GnwEEBgZeco7JOsG5nlXDhw932zfgsV488/jDl1UnERERERG5xnloFpr8pAYgKZAyMzN55513GDduHLfeeqvbsfbt2/P+++/z6KOPUrFiRZYtW+Z2fPPmzW6va9euzU8//eRqzLlczz77LGXLluWpp56idu3arF+/nlKlSrnNObRv375cZZYpUwZvb282b97saow6ceIEv/zyCzfffDMAtWrVIisri0OHDtG0adP/dA+XysfHh6ysrAuWiY+Pp3///m77Tuz5IS+rJSIiIiIiIpdJzW9SIC1ZsoRjx47Ro0cPqlat6rZ16NCB6dOnA/DII4/w888/M2jQIH755Rc++OAD10ph1v+PLx00aBDr16+nT58+bN++nd27d/Pxxx/nahJogBIlSnDXXXcxZMgQ4NxcQvv372fu3LkkJSUxadIk13C1SxUUFES3bt145plnWLVqFT/++CM9evTAw8PDVf8KFSrQuXNnunbtyoIFC9i7dy+bNm0iISGBpUuX5up6lyo6OpqNGzeSnJzM4cOHc+wdZLPZCA4Odts0/EtERERERKRgUgOQFEjTp0+nVatWOQ7z6tChA1u2bOH777+ndOnSfPTRRyxYsIDq1aszdepUV48cm80GQPXq1fnqq6/45ZdfaNq0KbVq1WLIkCFuQ8su1VNPPcXSpUvZtGkTd955J0899RR9+vShZs2arF+/nsGDB+c689VXX6Vhw4a0bduWVq1a0bhxYypXruw2OfXMmTPp2rUrTz/9NBUrVqR9+/ZuvYZMGzBgAJ6enlSpUoXw8HD279+fJ9cREREREZHrh9OyCsR2vbKc/1xTW+QaMHr0aKZNm8Zvv/2W31W5LGlpaRQvXpxx48bRo0eP/K5Orhz6aYvxzExP872KfO0njOb5HU42mgdwolhV45mWM3fzPF1M4LHcDXm8FKdDihvPtHsHXLxQLqR5Xtr8Y7kRmHXcaN5xjyJG8wCSKzc3nnnLzG5G8zIOHzaaB5B6W5zxzMC0g0bzfA7/bjQPwOllfpaAM0WijeZlevkZzQM44xN08UK5dNR5eQs2nI8nZj/LAY6nm/2crJq1zWgeQLJvFeOZoZ7HjebZsk4bzQM443l58z1eiGWZ/e9f0NmjRvMArDz4dx5epf7FC0meO/Pl7PyuAgB+t3TJ7yrkC80BJFe9KVOmUK9ePQoXLsy6det45ZVXcj28Kz99++23/Pzzz9SvX58TJ04wYsQIANq1a5fPNRMREREREZFrhYaAyVVv9+7dtGvXjipVqjBy5Eiefvpphg0blt/VypWxY8dSo0YNWrVqRVpaGmvWrKFIkUv7C/5tt91GYGBgjtuLL76YxzUXERERERGRq4F6AMlVb/z48YwfPz6/q3HZatWqxdatWy/7/LfffpszZ87keCwsLOyyc0VEREREROTaoQYgkatc8eLm50wRERERERExztIgpPykpy8iIiIiIiIico1TA5CIiIiIiIiIyDVOQ8BE5LpjfOngPOjKanrJdgCH5Wk2z9vXaB5ARh4s63zKs5DRPBtnjeYBWE6zS/JmOM3/eDe9ZDvAlw/NMppXMqaY0TyAFaXHGc98zN/sEtmOP/cbzQNwZmQYz/w5qr3RvLR0H6N5AE2Tzf6bBEgp08loXqj3KaN5AA5nkNE8W9oRo3kATl/LeGaxrQuN5v1V63ajeQBFTu0znrk/oIrRvCDMLwMv1zANActXevoiIiIiIiIiItc4NQCJiIiIiIiIiFzj1AAkOUpOTsayLLZv357fVbkqxcXF0b59+/yuhoiIiIiISIHhtKwCsV2v1AAkOSpRogQpKSlUrVo1v6uS75o3b06/fv3yuxoiIiIiIiIil02TQEs26enp+Pj4EBkZmd9VkSvg7/dbREREREQkT2kS6Hylp5/PHA4HCQkJlC5dGj8/P2rUqMFHH32E0+mkVatWxMTE4Pz/1WGOHj3KDTfcwJAhQwBYvXo1lmWxdOlSqlevjq+vLzfddBM//PCD2zXWrl1L06ZN8fPzo0SJEvTt25e0tDTX8ejoaEaOHEnXrl0JDg7m4YcfznEI2A8//MBtt91GYGAgERERdOnShcOHD7uON2/enL59+zJw4EDCwsKIjIxk2LBhbnU5fvw4jzzyCBEREfj6+lK1alWWLFlyyXW9kOjoaEaNGkXXrl0JDAykVKlSLF68mL/++ot27doRGBhI9erV2bJli+ucI0eOcP/991O8eHH8/f2pVq0a77//vut4XFwcX331FRMnTsSyLCzLIjk5GYAff/yRtm3bEhwcTFBQEE2bNiUpKcmtTmPHjiUqKorChQvz+OOPk3GJq6pMmTKF8uXL4+vrS0REBPfcc4/rmMPhYMyYMZQrVw6b7f/Yu+/4nO7//+OPKzsyxAgJQmqEIAhKrdoS2rRUaVXtWVRj1PjU1lJUi6pRI6GlOowOtZoKbagdo9RIkbZCbGJk//7wc317NZGhJ03I8367nVtd57yv5/U6R0T69h72lC5dmnfeecd8/fDhwzRr1gxHR0eKFClC3759iYuLs7intm3b8s4771CiRAkqVqwIwB9//EHHjh1xc3OjcOHCPP/88+Z7FRERERERkUebOoBy2dSpU1m+fDkLFizg119/ZciQIbz66qts376dZcuWsWfPHubMmQNA//79KVmypLkD6L4333yTmTNnsmfPHtzd3QkKCjJ3NERFRREYGEj79u05dOgQn3/+OT///DODBg2yyHjvvfeoXr06Bw4cYOzYsWnqvHbtGs2aNcPf35+9e/eyceNGLly4QMeOHS3aLVu2DCcnJ3bt2sX06dOZNGkSW7ZsAe51XLRu3ZqIiAg+/fRTjh49yrvvvou1tXW2as3IBx98QIMGDThw4ADPPPMMXbp0oWvXrrz66qvs37+fcuXK0bVrV3On2t27d6lVqxbr16/nyJEj9O3bly5durB7924AZs+eTb169ejTpw8xMTHExMTg5eXFX3/9xdNPP429vT0//vgj+/bto2fPniQlJZlr2bp1K1FRUWzdupVly5YRGhpKaGhopvewd+9eBg8ezKRJkzh+/DgbN27k6aefNl8fPXo07777LmPHjuXo0aOsXLmS4sWLA3Dr1i0CAgIoVKgQe/bs4csvv+SHH35I8wzDwsI4fvw4W7Zs4bvvviMxMZGAgABcXFz46aefiIiIwNnZmcDAQBISErL8/EVERERERCRv0hSwXBQfH8+UKVP44YcfqFevHgBly5bl559/ZuHChaxcuZKFCxfStWtXzp8/z/fff8+BAwewsbH8bRs/fjwtW7YE7nXAlCpVirVr19KxY0emTp1K586dzWvYVKhQgTlz5tC4cWPmz5+Pg4MDAM2aNWPYsGHmzH+O/Jg7dy7+/v5MmTLFfG7p0qV4eXlx4sQJfHx8AKhWrRrjx483f9bcuXMJCwujZcuW/PDDD+zevZtjx46Z25ctW9acl9VaM9KmTRv69esHwLhx45g/fz5PPvkkHTp0AGDkyJHUq1ePCxcu4OHhQcmSJRk+fLj5/a+//jqbNm3iiy++oE6dOhQsWBA7OzsKFChgMSXuo48+omDBgqxatQpbW1sA8z3dV6hQIebOnYu1tTWVKlXimWeeISwsjD59+mR4D9HR0Tg5OfHss8/i4uJCmTJl8Pf3B+DmzZvMnj2buXPn0q1bNwDKlStHw4YNAVi5ciV3795l+fLlODk5Afd+74KCgpg2bZq5o8jJyYnFixebp359+umnpKSksHjxYkz/f1G0kJAQ3NzcCA8Pp1WrVpk+exERERERkQzl4wWY8wKNAMpFp06d4vbt27Rs2RJnZ2fzsXz5cvNUog4dOtCuXTveffdd3nvvPSpUqJAm537nEUDhwoWpWLEix44dA+DgwYOEhoZa5AcEBJCSksLp06fN76tdu3aGtR48eJCtW7da5FSqVAnAYtpTtWrVLN7n6elJbGwsAJGRkZQqVSpNR8nfPyMrtWbk759/v7PDz88vzbn7NSUnJzN58mT8/PwoXLgwzs7ObNq0iejo6Aw/JzIykkaNGpk7f9JTpUoV8+gmsHwWGWnZsiVlypShbNmydOnShRUrVnD79m0Ajh07Rnx8PM2bN0/3vceOHaN69ermzh+ABg0akJKSwvHjx83n/Pz8LNb9OXjwIKdOncLFxcX87AsXLszdu3fTTGu7Lz4+nhs3blgc8RotJCIiIiIij6GPPvoIb29vHBwcqFu3rnnWSHoWLVpEo0aNKFSoEIUKFaJFixZp2nfv3t28zMj9IzAwMEfvQSOActH9dVnWr19PyZIlLa7Z29sDcPv2bfbt24e1tTUnT558qM/o168fgwcPTnOtdOnS5l//vcPgQTn3R5H8k6enp/nX/+wQMZlMpKSkAODo6GhIrRn5++ffH8mS3rn7Nc2YMYPZs2cza9Ys/Pz8cHJyIjg4ONNpT5ndyz8/9/5n3//cjLi4uLB//37Cw8PZvHkz48aNY8KECezZsydLn5sV//z9jouLo1atWqxYsSJNW3d393Qzpk6dysSJEy3ODR/QhzcH9jWkRhERERERkbzg888/Z+jQoSxYsIC6desya9YsAgICOH78OMWKFUvTPjw8nE6dOlG/fn0cHByYNm0arVq14tdff7X4f//AwEBCQkLMr+/3A+QUdQDlosqVK2Nvb090dDSNGzdOt82wYcOwsrJiw4YNtGnThmeeeYZmzZpZtPnll1/MHSRXr17lxIkT+Pr6AlCzZk2OHj1K+fLl/1WtNWvWZPXq1Xh7e6eZgpZV1apV488//7SYMvbPzzCi1uyIiIjg+eef59VXXwXudQydOHGCypUrm9vY2dmRnJxs8b5q1aqxbNkyEhMTMxwF9LBsbGxo0aIFLVq0YPz48bi5ufHjjz/Spk0bHB0dCQsLo3fv3mne5+vrS2hoKLdu3TJ38kRERGBlZWVe7Dk9NWvW5PPPP6dYsWK4urpmqcbRo0czdOhQi3PXfz/ygNYiIiIiIpLvWT2ak5Def/99+vTpQ48ePQBYsGAB69evZ+nSpYwaNSpN+3/+w/rixYtZvXo1YWFhdO3a1Xze3t7+P919+9F8+o8JFxcXhg8fzpAhQ1i2bBlRUVHs37+fDz/8kGXLlpm/oFasWEHLli1588036datG1evXrXImTRpEmFhYRw5coTu3btTtGhR2rZtC9xb82bHjh0MGjSIyMhITp48yddff52thZUBBg4cyJUrV+jUqRN79uwhKiqKTZs20aNHjzSdIw/SuHFjnn76adq3b8+WLVs4ffo0GzZsYOPGjYbWmh0VKlRgy5Yt7Nixg2PHjtGvXz8uXLhg0cbb25tdu3Zx5swZLl26REpKCoMGDeLGjRu8/PLL7N27l5MnT/LJJ59YTLN6WN999x1z5swhMjKSs2fPsnz5clJSUqhYsSIODg6MHDmSESNGmKcK/vLLLyxZsgSAzp074+DgQLdu3Thy5Ahbt27l9ddfp0uXLubpb+np3LkzRYsW5fnnn+enn37i9OnThIeHM3jwYP78889032Nvb4+rq6vFYa/t5EVERERE5DGSkJDAvn37aNGihfmclZUVLVq0YOfOnVnKuH37NomJiRQuXNjifHh4OMWKFaNixYq89tprXL582dDa/0kdQLls8uTJjB07lqlTp+Lr60tgYCDr16/H29ubXr16MWHCBGrWrAnAxIkTKV68OP3797fIePfdd3njjTeoVasW58+f59tvvzWv71KtWjW2bdvGiRMnaNSoEf7+/owbN44SJUpkq84SJUoQERFBcnIyrVq1ws/Pj+DgYNzc3LDKRi/u6tWrefLJJ+nUqROVK1dmxIgR5g4ko2rNjjFjxlCzZk0CAgJo0qQJHh4e5s6z+4YPH461tTWVK1fG3d2d6OhoihQpwo8//khcXByNGzemVq1aLFq0yJDRQG5ubqxZs4ZmzZrh6+vLggUL+Oyzz6hSpQoAY8eOZdiwYYwbNw5fX19eeukl89pCBQoUYNOmTVy5coUnn3ySF198kebNmzN37twMP7NAgQJs376d0qVL88ILL+Dr60uvXr24e/dulkcEiYiIiIiIZCTVZMoTR7rrmcbHp1vzpUuXSE5OTvMP6sWLF+f8+fNZuu+RI0dSokQJi06kwMBAli9fTlhYGNOmTWPbtm20bt06ywMsHoYp9f5+2PLICQ8Pp2nTply9ehU3N7fcLkeE2KN7Dc9MsjZ+VJFNsrGLVbtc+Pcjv/7phkclwzNTTNaZN8oG55vnDM0DuOlayvDM6zZFDM2z566heQAOSbcMzYu18sy8UTZV3LXI8MwfeywzNK90gPH/YLClz4+GZw4oYOx9p/x11tA8gNTERMMzDzYcaWjerQTj/35o9JexvzcAkWVfMjTPzfamoXkA5+8Y+33yyZubDM0D+K3I04ZnVolcamjeRf82huYBuNzKfAOR7Ip2qpx5o2zwSMx485SHYSLzdTOzy71yHcMzJftu7ViT2yUAMGPzoTTrmY4fP54JEyakaXvu3DlKlizJjh07LDZgGjFiBNu2bWPXrl0Zfta7777L9OnTCQ8PT7Np0t/9/vvvlCtXjh9++OGBm/78WxoBJCIiIiIiIiL5xujRo7l+/brFMXr06HTbFi1aFGtr6zRLhVy4cCHT9Xvee+893n33XTZv3pxh5w9A2bJlKVq0KKdOncrezWSDOoDkkfDTTz9ZbA//z+NR8jjdi4iIiIiISJaZrPLEke56pg/YgcvOzo5atWoRFhZmPpeSkkJYWJjFiKB/mj59OpMnT2bjxo3Url0700fz559/cvnyZYtdto2mXcAeYU2aNCG/zOCrXbs2kZGRuV2GIR6nexEREREREXncDR06lG7dulG7dm3q1KnDrFmzuHXrlnlXsK5du1KyZEmmTp0KwLRp0xg3bhwrV67E29vbvFbQ/X/0j4uLY+LEibRv3x4PDw+ioqIYMWIE5cuXJyAgIMfuQx1A8khwdHT8T7eHz0mP072IiIiIiIg87l566SUuXrzIuHHjOH/+PDVq1GDjxo3mhaGjo6MtNkeaP38+CQkJvPjiixY599cZsra25tChQyxbtoxr165RokQJWrVqxeTJkx84EskI6gASERERERERkRyXanp0V6EZNGgQgwYNSvdaeHi4xeszZ85kmOXo6MimTcYvmJ8ZdQCJiGGsUozfNYac2AUs6Y6heaYbVw3NA7B2N3anMgArK2N3AbO+fcPQPAAbJ+Pv22ST96fKJlg7GJqXnGLs7zVA4qVLhmcavWtX9Cbjd6Z75b1IwzP5y9gffhMvGv97Y7I2/muo8t09hual2Bj/90NSEePXXbA2Gfs96Fqii6F5AHcSjf1fAlOi8d/Lb8Q7Gp55rlY7Q/McE43foS3WpazhmS4Y+/d3jvz8JyI5Qh1AIiIiIiIiIpLzTKbcriBfe3THX4mIiIiIiIiISJaoA0hERERERERE5DGnDiCRbGrSpAnBwcG5XUaWTZgwgRo1auR2GSIiIiIiIpKL1AGUj6SmptKiRQsCAgLSXJs3bx5ubm78+eefuVCZpSZNmmAymdIc/fv3z+3SAFizZg2TJ0/O7TKybPjw4YSFhWXrPd7e3syaNStnChIREREREZH/nBaBzkdMJhMhISH4+fmxcOFC+vXrB8Dp06cZMWIE8+fPp1SpUoZ+ZmJiIra2ttl+X58+fZg0aZLFuQIFChhV1kNJSEjAzs6OwoUL52od2eXs7Iyzs3NulyEiIiIiIiK5SCOA8hkvLy9mz57N8OHDOX36NKmpqfTq1YtWrVrh7+9P69atcXZ2pnjx4nTp0oVLf9v2d+PGjTRs2BA3NzeKFCnCs88+S1RUlPn6mTNnMJlMfP755zRu3BgHBwdWrFjB2bNnCQoKolChQjg5OVGlShW+//77DOssUKAAHh4eFoerqysAy5cvx9nZmZMnT5rbDxgwgEqVKnH79m3g3giWyZMn06lTJ5ycnChZsiQfffSRxWdcu3aN3r174+7ujqurK82aNePgwYPm6/enTi1evJgnnngCB4d72zT/cwpYfHw8w4cPp2TJkjg5OVG3bl3Cw8PN10NDQ3Fzc2PTpk34+vri7OxMYGAgMTExFvUsXbqUKlWqYG9vj6enJ4MGDcpyrRn55xSw7t2707ZtW9577z08PT0pUqQIAwcOJDEx0Xx/Z8+eZciQIebRVyIiIiIiIv9WqskqTxz5Vf6983ysW7duNG/enJ49ezJ37lyOHDnCwoULadasGf7+/uzdu5eNGzdy4cIFOnbsaH7frVu3GDp0KHv37iUsLAwrKyvatWtHSkqKRf6oUaN44403OHbsGAEBAQwcOJD4+Hi2b9/O4cOHmTZt2r8akdK1a1fatGlD586dSUpKYv369SxevJgVK1ZYjBKaMWMG1atX58CBA+aatmzZYr7eoUMHYmNj2bBhA/v27aNmzZo0b96cK1eumNucOnWK1atXs2bNGiIjI9OtZ9CgQezcuZNVq1Zx6NAhOnToQGBgoEUH1e3bt3nvvff45JNP2L59O9HR0QwfPtx8ff78+QwcOJC+ffty+PBhvvnmG8qXL5+tWrNj69atREVFsXXrVpYtW0ZoaCihoaHAvSlupUqVYtKkScTExKTpqBIREREREZFHj6aA5VMff/wxVapUYfv27axevZqFCxfi7+/PlClTzG2WLl2Kl5cXJ06cwMfHh/bt21tkLF26FHd3d44ePUrVqlXN54ODg3nhhRfMr6Ojo2nfvj1+fn4AlC1bNtP65s2bx+LFiy3OLVy4kM6dO5t/Xa1aNQYPHsyaNWuYMGECtWrVsmjfoEEDRo0aBYCPjw8RERF88MEHtGzZkp9//pndu3cTGxuLvb09AO+99x7r1q3jq6++om/fvsC9aV/Lly/H3d093Tqjo6MJCQkhOjqaEiVKAPfW3Nm4cSMhISHm55mYmMiCBQsoV64ccK/T6O9T3N5++22GDRvGG2+8YT735JNPAmS51uwoVKgQc+fOxdramkqVKvHMM88QFhZGnz59KFy4MNbW1ri4uODh4ZHtbBERERERkXRpdkGuUgdQPlWsWDH69evHunXraNu2LStWrGDr1q3pjsyJiorCx8eHkydPMm7cOHbt2sWlS5fMI3+io6MtOoBq165t8f7Bgwfz2muvsXnzZlq0aEH79u2pVq1ahvV17tyZt956y+Jc8eLFzb8uVKgQS5YsISAggPr165s7ev6uXr16aV7fX9j44MGDxMXFUaRIEYs2d+7csZjWVqZMmQd2/gAcPnyY5ORkfHx8LM7Hx8dbZBcoUMDc+QPg6elJbGwsALGxsZw7d47mzZun+xlZrTU7qlSpgrW1tUU9hw8fzlZGfHw88fHxlucSErC3s3uomkRERERERCTnqAMoH7OxscHG5t6XQFxcHEFBQUybNi1NO09PTwCCgoIoU6YMixYtokSJEqSkpFC1alUSEhIs2js5OVm87t27NwEBAaxfv57NmzczdepUZs6cyeuvv/7A2goWLGgxBSo927dvx9rampiYGG7duoWLi0uW7hvu3a+np6fFWj33ubm5PfBe0suxtrZm3759Fh0qgEVn2j8XwjaZTKSmpgLg6OhoSK3ZkV49/5zKl5mpU6cyceJEi3NvvtaTEQN6P1RNIiIiIiIiknPUASQA1KxZk9WrV+Pt7W3uFPq7y5cvc/z4cRYtWkSjRo2Ae1OTssrLy4v+/fvTv39/Ro8ezaJFizLsAMrMjh07mDZtGt9++y0jR45k0KBBLFu2zKLNL7/8kua1r68vcO9+z58/j42NDd7e3g9dh7+/P8nJycTGxpqfS3a5uLjg7e1NWFgYTZs2TXPdqFqzw87OjuTk5AzbjB49mqFDh1qcu3nqQE6WJSIiIiIij7J8vABzXqCnLwAMHDiQK1eu0KlTJ/bs2UNUVBSbNm2iR48eJCcnU6hQIYoUKcLHH3/MqVOn+PHHH9P8z/+DBAcHs2nTJk6fPs3+/fvZunWruSPmQW7fvs358+ctjqtXrwJw8+ZNunTpwuDBg2ndujUrVqzg888/56uvvrLIiIiIYPr06Zw4cYKPPvqIL7/80rzGTosWLahXrx5t27Zl8+bNnDlzhh07dvDWW2+xd+/eLD83Hx8fOnfuTNeuXVmzZg2nT59m9+7dTJ06lfXr12c5Z8KECcycOZM5c+Zw8uRJ9u/fz4cffmhordnh7e3N9u3b+euvvyx2gvs7e3t7XF1dLQ5N/xIREREREcmb1AEkAJQoUYKIiAiSk5Np1aoVfn5+BAcH4+bmhpWVFVZWVqxatYp9+/ZRtWpVhgwZwowZM7KUnZyczMCBA/H19SUwMBAfHx/mzZuX4XsWLVqEp6enxdGpUycA3njjDZycnMwLLPv5+TFlyhT69evHX3/9Zc4YNmwYe/fuxd/fn7fffpv333+fgIAA4N6Up++//56nn36aHj164OPjw8svv8zZs2ct1hrKipCQELp27cqwYcOoWLEibdu2Zc+ePZQuXTrLGd26dWPWrFnMmzePKlWq8Oyzz5p3ETOy1qyaNGkSZ86coVy5chmugSQiIiIiIiKPBlPq/YVIRB4j3t7eBAcHExwcnNul5CuXjuw0PDPBNuN1mB6GQ/x1Q/MKnD5oaB5AXLlamTfKplQr68wbZYPTxd8NzQOIc8947a+HccXe2N3s7IjPvFE2WaVmPOUyuy6nFDU0D6DC928bnnn2B2OnjUZvOmdoHkCtw6sMz3T7K3uL7mcmfv8eQ/MATNbGfr8ASGn6nLF5NsaPOrW7fdXwzGNuDzdF/EGSU43fQefqnQKG5jW+udbQPIBdhYIMzyxTwNjvGY6JNw3NA7hpW9jwTFsSMm+UDS53Lhqal1OKVq2XeSPJcTf2bcrtEgBwrRWQ2yXkCo0AEhERERERERF5zKkDSOQRV6VKFZydndM9VqxYkdvliYiIiIiI3GOyyhtHPqVdwOSxdObMmdwu4T/z/fffk5iYmO61nFojSERERERERB4t6gASecSVKVMmt0sQERERERGRPE4dQCIiIiIiIiKS41IxfiF7yTrtAiYihvk9KsrwzJQcWKrMMTnO0DxTDnwbTbS2NzzTaDYpxu4iApBiMn7noWSTsf/WkWxl/L+d3Ep2NjSvgNUtQ/MACiQZv7vNqt/8DM17pWKkoXkA+/xeNjyz7G8/GprnmGr873eSydbwzKJfzTQ0L/6KsTs6AhzvusDwzCfszhqaF51Y2tA8gKL2xu5+Zp96x9A8gIvJxQzPXLw2xdC8Me3PG5oHsOtKJcMzW9oa+z3oqqvxX5M5wbu8T26XIMD1/T/kdgkAFKzZIrdLyBX5d/UjEREREREREZF8QlPARERERERERCTHpebjHbjyAj19ydeaNGlCcHBwbpeRo8LDwzGZTFy7di23SxEREREREZFcog6gR1RqaiotWrQgICAgzbV58+bh5ubGn3/+mQuVWWrSpAkmkynN0b9//9wuDYA1a9YwefLk3C4jU++88w7169enQIECuLm5Zeu99evXJyYmhoIFC2b5Pd27d6dt27bZK1JERERERCQjJqu8ceRT+ffOH3Emk4mQkBB27drFwoULzedPnz7NiBEj+PDDDylVqpShn5mYmPhQ7+vTpw8xMTEWx/Tp0w2tLbsSEu4tXlu4cGFcXFxytZasSEhIoEOHDrz22mvZfq+dnR0eHh6YTFpxX0REREREJL9SB9AjzMvLi9mzZzN8+HBOnz5NamoqvXr1olWrVvj7+9O6dWucnZ0pXrw4Xbp04dKlS+b3bty4kYYNG+Lm5kaRIkV49tlnifrbDk5nzpzBZDLx+eef07hxYxwcHFixYgVnz54lKCiIQoUK4eTkRJUqVfj+++8zrLNAgQJ4eHhYHK6urgAsX74cZ2dnTp48aW4/YMAAKlWqxO3btwHw9vZm8uTJdOrUCScnJ0qWLMlHH31k8RnXrl2jd+/euLu74+rqSrNmzTh48KD5+oQJE6hRowaLFy/miSeewMHBAUg7BSw+Pp7hw4dTsmRJnJycqFu3LuHh4ebroaGhuLm5sWnTJnx9fXF2diYwMJCYmBiLepYuXUqVKlWwt7fH09OTQYMGZbnW9EycOJEhQ4bg55f9HXP+OQUss3uYMGECy5Yt4+uvvzaP2Pr7MxAREREREZFHjzqAHnHdunWjefPm9OzZk7lz53LkyBEWLlxIs2bN8Pf3Z+/evWzcuJELFy7QsWNH8/tu3brF0KFD2bt3L2FhYVhZWdGuXTtSUiy3wxw1ahRvvPEGx44dIyAggIEDBxIfH8/27ds5fPgw06ZNw9n54bcv7tq1K23atKFz584kJSWxfv16Fi9ezIoVKyhQoIC53YwZM6hevToHDhww17Rlyxbz9Q4dOhAbG8uGDRvYt28fNWvWpHnz5ly5csXc5tSpU6xevZo1a9YQGRmZbj2DBg1i586drFq1ikOHDtGhQwcCAwMtOqhu377Ne++9xyeffML27duJjo5m+PDh5uvz589n4MCB9O3bl8OHD/PNN99Qvnz5bNWa0zK6h+HDh9OxY0dzp1BMTAz169f/z2oTEREREZHHU6rJlCeO/Eq7gD0GPv74Y6pUqcL27dtZvXo1CxcuxN/fnylTppjbLF26FC8vL06cOIGPjw/t27e3yFi6dCnu7u4cPXqUqlWrms8HBwfzwgsvmF9HR0fTvn1780iUsmXLZlrfvHnzWLx4scW5hQsX0rlzZ/Ovq1WrxuDBg1mzZg0TJkygVq1aFu0bNGjAqFGjAPDx8SEiIoIPPviAli1b8vPPP7N7925iY2Oxt7cH4L333mPdunV89dVX9O3bF7g3jWr58uW4u7unW2d0dDQhISFER0dTokQJ4F5nyMaNGwkJCTE/z8TERBYsWEC5cuWAe51GkyZNMue8/fbbDBs2jDfeeMN87sknnwTIcq05LaN7cHZ2xtHRkfj4eDw8PP6TekRERERERCRnqQPoMVCsWDH69evHunXraNu2LStWrGDr1q3pjsyJiorCx8eHkydPMm7cOHbt2sWlS5fMI3+io6MtOoBq165t8f7Bgwfz2muvsXnzZlq0aEH79u2pVq1ahvV17tyZt956y+Jc8eLFzb8uVKgQS5YsISAggPr165s7ev6uXr16aV7PmjULgIMHDxIXF0eRIkUs2ty5c8diWluZMmUe2PkDcPjwYZKTk/Hx8bE4Hx8fb5FdoEABc8cJgKenJ7GxsQDExsZy7tw5mjdvnu5nZLXWnJbRPWRVfHw88fHxac7d79gSERERERGRvEMdQI8JGxsbbGzu/XbGxcURFBTEtGnT0rTz9PQEICgoiDJlyrBo0SJKlChBSkoKVatWNS+OfJ+Tk5PF6969exMQEMD69evZvHkzU6dOZebMmbz++usPrK1gwYIWU6DSs337dqytrYmJieHWrVvZWpg5Li4OT0/PdNep+fuOWf+8l/RyrK2t2bdvH9bW1hbX/t6ZZmtra3HNZDKRmpoKgKOjoyG15rSM7iGrpk6dysSJEy3ODX79dYuRTyIiIiIiIvel5uMduPICdQA9hmrWrMnq1avx9vY2dwr93eXLlzl+/DiLFi2iUaNGwL2pSVnl5eVF//796d+/P6NHj2bRokUZdgBlZseOHUybNo1vv/2WkSNHMmjQIJYtW2bR5pdffknz2tfXF7h3v+fPn8fGxgZvb++HrsPf35/k5GRiY2PNzyW7XFxc8Pb2JiwsjKZNm6a5blStOc3Ozo7k5OQM24wePZqhQ4danPvrzz9zsiwRERERERF5SOp+ewwNHDiQK1eu0KlTJ/bs2UNUVBSbNm2iR48eJCcnU6hQIYoUKcLHH3/MqVOn+PHHH9P8j/yDBAcHs2nTJk6fPs3+/fvZunWruSPmQW7fvs358+ctjqtXrwJw8+ZNunTpwuDBg2ndujUrVqzg888/56uvvrLIiIiIYPr06Zw4cYKPPvqIL7/80jzSpEWLFtSrV4+2bduyefNmzpw5w44dO3jrrbfYu3dvlp+bj48PnTt3pmvXrqxZs4bTp0+ze/dupk6dyvr167OcM2HCBGbOnMmcOXM4efIk+/fv58MPP8xyrbt376ZSpUr89ddf5szo6GgiIyOJjo4mOTmZyMhIIiMjiYuLy3Jd2eHt7c2hQ4c4fvw4ly5dIjExMU0be3t7XF1dLQ5N/xIREREREcmb1AH0GCpRogQREREkJyfTqlUr/Pz8CA4Oxs3NDSsrK6ysrFi1ahX79u2jatWqDBkyhBkzZmQpOzk5mYEDB+Lr60tgYCA+Pj7Mmzcvw/csWrQIT09Pi6NTp04AvPHGGzg5OZkXWPbz82PKlCn069fPogNk2LBh7N27F39/f95++23ef/99AgICgHvTl77//nuefvppevTogY+PDy+//DJnz561WGsoK0JCQujatSvDhg2jYsWKtG3blj179lC6dOksZ3Tr1o1Zs2Yxb948qlSpwrPPPmveRSwrtd6+fZvjx49bdLqMGzcOf39/xo8fT1xcHP7+/uZd3nJCnz59qFixIrVr18bd3Z2IiIgc+RwRERERERH5b5hSs7vwh8h/zNvbm+DgYIKDg3O7FMnE7zmwkHVKDvRTOyYbO3LKlAPfRhOt8/5oKpuUhMwbZVOKyTrzRtmUbDJ2tnOylfGzp28lp120/98oYHXL0DyAAkk3Dc9c9ZufoXmvVIw0NA9gn9/LhmeW/e1HQ/McU43//U4y2WbeKJuKfjXT0Lz4K9cNzQM43nWB4ZlP2J01NC86Mev/KJVVRe2vGppnn3rH0DyAi8nFDM9cvDbF0Lwx7c8bmgew60olwzNb2hr7Peiqq/FfkznBu7xP5o0kx1059FNulwBA4WoPt+THo05rAImIiIiIiIhIzjOZcruCfE1TwEQecf3798fZ2Tndo3///rldnoiIiIiIiOQBGgEked6ZM2dyu4Q8bdKkSQwfPjzda66urv9xNSIiIiIiIpIXqQNI5BFXrFgxihUzfl68iIiIiIiIkVJNmoSUm/T0RUREREREREQecxoBJCIiIiIiIiI5LhUtAp2b1AEkIoZxu3XO8MyYAuUNz3ROuWZoXoFbsYbmAdx0KWF45m1rY9eEckq4YmgewCVHL8Mz7Yg3NC811fgfXBJSjN1yu1qFJwzNA7ixf4vhmQMK7Dc28C/jBzYbvWU7wO+Vmhma99TYxobmAdgVdDE88/BzUw3Nu51oZ2gegNuAJoZnsniJoXGe9hcMzQOwTTH2++QljJ+a7mFl/M8Ywzs4GZqXYHIwNA+galHj7/tGirE/Y5hINTQPwD7ptuGZIqIpYCIiIiIiIiIijz2NABIRERERERGRHKdFoHOXnr48sry9vZk1a1Zul8G6desoX7481tbWBAcHExoaipubW26XJSIiIiIiImKmDiAxxJkzZzCZTERGRuZ2Kf+5fv368eKLL/LHH38wefJkXnrpJU6cOGG+PmHCBGrUqJF7BYqIiIiIiEi+pylg+URycjImkwkrK8s+v4SEBOzsjF9E8VHwoGeSHXFxccTGxhIQEECJEv+3oJ6jo6MRJf4n8vPXgIiIiIiI/IdM2gUsN2kEUB6WkpLC9OnTKV++PPb29pQuXZp33nmH8PBwTCYT165dM7eNjIzEZDJx5swZAPM0pG+++YbKlStjb29PdHQ03t7eTJ48ma5du+Lq6krfvn0B+Pnnn2nUqBGOjo54eXkxePBgbt26Zc739vZmypQp9OzZExcXF0qXLs3HH39svv7EE/d2nPH398dkMtGkSZNM7y88PJw6derg5OSEm5sbDRo04OzZswBERUXx/PPPU7x4cZydnXnyySf54YcfMsx7//338fPzw8nJCS8vLwYMGEBcXJz5enrP5Oeff8bW1pbz589bZAUHB9OoUaNM63dxubdLSrNmzTCZTISHh1tMAQsNDWXixIkcPHgQk8mEyWQiNDQ0w9zU1FQmTJhA6dKlsbe3p0SJEgwePNh8PT4+npEjR+Ll5YW9vT3ly5dnyZL/22Fk27Zt1KlTB3t7ezw9PRk1ahRJSUnm602aNGHQoEEEBwdTtGhRAgICADhy5AitW7fG2dmZ4sWL06VLFy5dupRhrSIiIiIiIvJoUAdQHjZ69Gjeffddxo4dy9GjR1m5ciXFixfP8vtv377NtGnTWLx4Mb/++ivFit3bkvO9996jevXqHDhwgLFjxxIVFUVgYCDt27fn0KFDfP755/z8888MGjTIIm/mzJnUrl2bAwcOMGDAAF577TWOHz8OwO7duwH44YcfiImJYc2aNRnWlpSURNu2bWncuDGHDh1i586d9O3bF9P/7xGOi4ujTZs2hIWFceDAAQIDAwkKCiI6OvqBmVZWVsyZM4dff/2VZcuW8eOPPzJixIgMn0nt2rUpW7Ysn3zyiblNYmIiK1asoGfPnhneQ/369c33v3r1amJiYqhfv75Fm5deeolhw4ZRpUoVYmJiiImJ4aWXXsowd/Xq1XzwwQcsXLiQkydPsm7dOvz8/MzXu3btymeffcacOXM4duwYCxcuxNnZGYC//vqLNm3a8OSTT3Lw4EHmz5/PkiVLePvtty0+Y9myZdjZ2REREcGCBQu4du0azZo1w9/fn71797Jx40YuXLhAx44dM6xVREREREQkq1KxyhNHfqUpYHnUzZs3mT17NnPnzqVbt24AlCtXjoYNGxIeHp6ljMTERObNm0f16tUtzjdr1oxhw4aZX/fu3ZvOnTsTHBwMQIUKFZgzZw6NGzdm/vz5ODg4ANCmTRsGDBgAwMiRI/nggw/YunUrFStWxN3dHYAiRYrg4eGRaW03btzg+vXrPPvss5QrVw4AX19f8/Xq1atb1D158mTWrl3LN998k6Zj6r779cO9EUtvv/02/fv3Z968eRk+k169ehESEsKbb74JwLfffsvdu3cz7fyws7Mzd6oVLlw43ft2dHTE2dkZGxubLD0XgOjoaDw8PGjRogW2traULl2aOnXqAHDixAm++OILtmzZQosWLQAoW7as+b3z5s3Dy8uLuXPnYjKZqFSpEufOnWPkyJGMGzfOPN2tQoUKTJ8+3fy+t99+G39/f6ZMmWI+t3TpUry8vDhx4gQ+Pj5Zql1ERERERETypvzb9ZXHHTt2jPj4eJo3b/7QGXZ2dlSrVi3N+dq1a1u8PnjwIKGhoTg7O5uPgIAAUlJSOH36tLnd37NMJhMeHh7ExsY+VG2FCxeme/fuBAQEEBQUxOzZs4mJiTFfj4uLY/jw4fj6+uLm5oazszPHjh3LcATQDz/8QPPmzSlZsiQuLi506dKFy5cvc/v27QyfSffu3Tl16hS//PILcG/aVseOHXFycnqoe/u3OnTowJ07dyhbtix9+vRh7dq15ilckZGRWFtb07hx43Tfe+zYMerVq2ceSQXQoEED4uLi+PPPP83natWqZfG+gwcPsnXrVouvgUqVKgH3puOlJz4+nhs3blgc8QkJ/+reRUREREREJGeoAyiPymgR4fujOFJTU83nEhMT080wpbPI1j87NuLi4ujXrx+RkZHm4+DBg5w8edI8OgfA1tbW4n0mk4mUlJSs3VA6QkJC2LlzJ/Xr1+fzzz/Hx8fH3AkzfPhw1q5dy5QpU/jpp5+IjIzEz8+PhAd0MJw5c4Znn32WatWqsXr1avbt28dHH30EYPGe9J5JsWLFCAoKIiQkhAsXLrBhw4ZMp3/lJC8vL44fP868efNwdHRkwIABPP300yQmJhq2uHR6XwNBQUEWXwORkZGcPHmSp59+Ot2MqVOnUrBgQYtj1pJPDalPREREREQeP6kmU5448itNAcujKlSogKOjI2FhYfTu3dvi2v3pVjExMRQqVAjgX22/XrNmTY4ePUr58uUfOuP+LlLJycnZep+/vz/+/v6MHj2aevXqsXLlSp566ikiIiLo3r077dq1A+51UNxf4Do9+/btIyUlhZkzZ5o7yL744oss19G7d286depEqVKlKFeuHA0aNMjWfWTEzs4u28/F0dGRoKAggoKCGDhwIJUqVeLw4cP4+fmRkpLCtm3bzFPA/s7X15fVq1eTmppq7uiKiIjAxcWFUqVKPfDzatasyerVq/H29sbGJmvfFkaPHs3QoUMtzt06sScbdykiIiIiIiL/FY0AyqMcHBwYOXIkI0aMYPny5URFRfHLL7+wZMkSypcvj5eXFxMmTODkyZOsX7+emTNnPvRnjRw5kh07djBo0CDzqI+vv/76gWvtpKdYsWI4OjqaFw++fv16hu1Pnz7N6NGj2blzJ2fPnmXz5s2cPHnSvA5QhQoVWLNmjXk00iuvvJLhaKPy5cuTmJjIhx9+yO+//84nn3zCggULslx/QEAArq6uvP322/To0SPL78sKb29vTp8+TWRkJJcuXSI+Pj7D9qGhoSxZsoQjR47w+++/8+mnn+Lo6EiZMmXw9vamW7du9OzZk3Xr1nH69GnCw8PNnV0DBgzgjz/+4PXXX+e3337j66+/Zvz48QwdOjTD7e4HDhzIlStX6NSpE3v27CEqKopNmzbRo0ePB3Ze2dvb4+rqanHYazt5ERERERGRPEkdQHnY2LFjGTZsGOPGjcPX15eXXnqJ2NhYbG1t+eyzz/jtt9+oVq0a06ZNS7PLU3ZUq1aNbdu2ceLECRo1aoS/vz/jxo2jRIkSWc6wsbFhzpw5LFy4kBIlSvD8889n2L5AgQL89ttvtG/fHh8fH/r27cvAgQPp168fcG9L90KFClG/fn2CgoIICAigZs2aD8yrXr0677//PtOmTaNq1aqsWLGCqVOnZrl+KysrunfvTnJyMl27ds3y+7Kiffv2BAYG0rRpU9zd3fnss88ybO/m5saiRYto0KAB1apV44cffuDbb7+lSJEiAMyfP58XX3yRAQMGUKlSJfr06cOtW7cAKFmyJN9//z27d++mevXq9O/fn169ejFmzJgMP7NEiRJERESQnJxMq1at8PPzIzg4GDc3tww7jkRERERERLIq1WSVJ478ypT694VkRPKxXr16cfHiRb755pvcLuWRdeXQT4ZnxhR4+KmJD1Ik6byheQVuPdxi6Bm56ZL1Dtisum3tamheoTvnDM0DuOToZXimHRmPusuulBz4t5NrSW6G5tWuWMjQPIAb+7cYnml3+S9jA3Ogw/q098NvxvAgv1dqZmjeU2PT3xjg37Ar6GJ45uFWEwzNu51o/KhTt9ebGJ5ZfPESQ/MSrewNzQOwTTH2++QlihmaB1AU4/+uvWtl7IYfVqbsTfnPisRU47/OnVJuGJqXYrI2NA/APul25o2yyaOSv+GZkn3nfzuQ2yUA+ffrQWsASb53/fp1Dh8+zMqVK9X5IyIiIiIikkNSyb8LMOcF+Xfsk+S4v28p/s/jp5+MHynysJ5//nlatWpF//79admypcW11q1bP/AepkyZ8lCft2LFigdmVqlSxYhbEhEREREREbGgEUCSYzLamaxkyZL/XSGZCA8Pf+C1xYsXc+fOnXSvFS5c+KE+77nnnqNu3brpXrO1tX2oTBEREREREZGMqANIcsy/2VY+r8iJjioXFxdcXIxfW0FERERERCQvy88LMOcFevoiIiIiIiIiIo85jQASkTwtJ3Zccr7+p6F5NmePG5oH4ORj/C4vBUxXDM2zvWvsLiIARayM30nkkr2xI/k8bxj/+33buaqheSeiog3NAyh9ydg/NwAp54ytM/HiJUPzABzLPGV4ptG7dv0yeZuheQDO5R0Nz6zU6hVD85LtjZ82Xajfc4Znnrcydhcnh6RbhuYBJFkZ+ywLWl03NA8gkRzY/SzV2N3PHBNuGpoHcMfW+FHj8VbG/vlOzYGf1ZLstCyCSE7QCCARERERERERkcecOoBERERERERERB5zmgImIiIiIiIiIjku1WTK7RLyNY0AEpF0nTlzBpPJRGRkZG6XIiIiIiIiIv+SOoAkXzp//jyvv/46ZcuWxd7eHi8vL4KCgggLC8vt0jJkMplYt25dltrdP1xdXXnyySf5+uuvc75AERERERERyZPUAST5zpkzZ6hVqxY//vgjM2bM4PDhw2zcuJGmTZsycODAh85NTU0lKSkpzfmEhIR/U+5DCwkJISYmhr1799KgQQNefPFFDh8+nCu1iIiIiIiIpGLKE0d+pQ4gyXcGDBiAyWRi9+7dtG/fHh8fH6pUqcLQoUP55ZdfgPSnP127dg2TyUR4eDgA4eHhmEwmNmzYQK1atbC3t+fnn3+mSZMmDBo0iODgYIoWLUpAQAAAR44coXXr1jg7O1O8eHG6dOnCpUv/t2VxkyZNGDx4MCNGjKBw4cJ4eHgwYcIE83Vvb28A2rVrh8lkMr9+EDc3Nzw8PPDx8WHy5MkkJSWxdetW8/WNGzfSsGFD3NzcKFKkCM8++yxRUVEP/2BFREREREQkz1IHkOQrV65cYePGjQwcOBAnJ6c0193c3LKdOWrUKN59912OHTtGtWrVAFi2bBl2dnZERESwYMECrl27RrNmzfD392fv3r1s3LiRCxcu0LFjR4usZcuW4eTkxK5du5g+fTqTJk1iy5YtAOzZswf4v5E9919nJikpiSVLlgBgZ2dnPn/r1i2GDh3K3r17CQsLw8rKinbt2pGSkpLtZyAiIiIiIiJ5m3YBk3zl1KlTpKamUqlSJcMyJ02aRMuWLS3OVahQgenTp5tfv/322/j7+zNlyhTzuaVLl+Ll5cWJEyfw8fEBoFq1aowfP96cMXfuXMLCwmjZsiXu7u7A/43syUynTp2wtrbmzp07pKSk4O3tbdHh1L59e4v2S5cuxd3dnaNHj1K1atVsPgUREREREZGMpZo0BiU36elLvpKammp4Zu3atdOcq1WrlsXrgwcPsnXrVpydnc3H/U6ov0+7uj+C6D5PT09iY2Mfqq4PPviAyMhINmzYQOXKlVm8eDGFCxc2Xz958iSdOnWibNmyuLq6mqeURUdHZyk/Pj6eGzduWBzxubTekYiIiIiIiGRMI4AkX6lQoQImk4nffvstw3ZWVvf6Rv/eYZSYmJhu2/Smkv3zXFxcHEFBQUybNi1NW09PT/OvbW1tLa6ZTKaHnpLl4eFB+fLlKV++PCEhIbRp04ajR49SrFgxAIKCgihTpgyLFi2iRIkSpKSkULVq1SwvWj116lQmTpxocW5E/+6MfK3nQ9UrIiIiIiKPt/y8AHNeoBFAkq8ULlyYgIAAPvroI27dupXm+rVr1wDM061iYmLM1/6+IHR21axZk19//RVvb29zp8z9I70OpAextbUlOTk5259fp04datWqxTvvvAPA5cuXOX78OGPGjKF58+b4+vpy9erVbGWOHj2a69evWxzBvV7Ndm0iIiIiIiKS89QBJPnORx99RHJyMnXq1GH16tWcPHmSY8eOMWfOHOrVqweAo6MjTz31lHlx523btjFmzJiH/syBAwdy5coVOnXqxJ49e4iKimLTpk306NEjWx063t7ehIWFcf78+Wx32AQHB7Nw4UL++usvChUqRJEiRfj44485deoUP/74I0OHDs1Wnr29Pa6urhaH/d8WmRYREREREZG8Qx1Aku+ULVuW/fv307RpU4YNG0bVqlVp2bIlYWFhzJ8/39xu6dKlJCUlUatWLYKDg3n77bcf+jNLlChBREQEycnJtGrVCj8/P4KDg3FzczNPN8uKmTNnsmXLFry8vPD3989WDYGBgTzxxBO88847WFlZsWrVKvbt20fVqlUZMmQIM2bMyO5tiYiIiIiIZFmqySpPHPmVKTUnVsUVkXzpyqGfDM/8q4CP4ZlPXN5taJ7N2eOG5gHc9Um7uPi/lWoyds617d0bhuYB3HEpbnjmJfuShuZ53jD+9zva2did9xys7hqaB1A6KszwzJRzWVt0PqsSL14yNA/garvXDc90WfmeoXm/TN5maB6Ac3lHwzMrrVliaF6ylW3mjbKp0L71hmeer9vB0Dz7pNuG5gEkGfwsk6wejRHBVqnZn1afEcfEm4bmAdyxdTE8M8lk7O93ag6MKbAyGft7A1CubFnDMyX7zp4y/ueoh1GmfMXcLiFX5N+uLxERERERERGRfEK7gImIiIiIiIhIjtMuYLlLI4BERERERERERB5zGgEkIiIiIiIiIjkuPy/AnBfo6YuIiIiIiIiIPOY0AkhE8p0UG4N3J7F3MDYPSLGyzoFMY7/l26UYv0NHnH1hwzNvJxu7m1GinZOheQC3k+0NzXO0umNoHkCqjfE/MqQmJhqaZ7I2/s+N0bvlANgVNHZXn5zYsSvulPFfQ4+CxNiLhmfaJhu7K5/ReQA2yQmG5iVZG/tnG+CGjfF/Pzhg7I5qVilJhuZBznwPMpmM3QQ6OTUHxhRon2rJgz766CNmzJjB+fPnqV69Oh9++CF16tR5YPsvv/ySsWPHcubMGSpUqMC0adNo06aN+Xpqairjx49n0aJFXLt2jQYNGjB//nwqVKiQY/egEUAiIiIiIiIikuNSMeWJI7s+//xzhg4dyvjx49m/fz/Vq1cnICCA2NjYdNvv2LGDTp060atXLw4cOEDbtm1p27YtR44cMbeZPn06c+bMYcGCBezatQsnJycCAgK4e9f4jv771AEkIiIiIiIiIvIA77//Pn369KFHjx5UrlyZBQsWUKBAAZYuXZpu+9mzZxMYGMibb76Jr68vkydPpmbNmsydOxe4N/pn1qxZjBkzhueff55q1aqxfPlyzp07x7p163LsPtQBJPKIadKkCcHBwTn+ORMmTKBGjRo5/jkiIiIiIiJ5VUJCAvv27aNFixbmc1ZWVrRo0YKdO3em+56dO3datAcICAgwtz99+jTnz5+3aFOwYEHq1q37wEwjqANIHmndu3fHZDKlOQIDA3O7NAv/VacNQGhoqPk5WFlZ4enpyUsvvUR0dPR/8vkiIiIiIiLpSTWZ8sQRHx/PjRs3LI74+Ph0a7506RLJyckUL17c4nzx4sU5f/58uu85f/58hu3v/zc7mUZQB5A88gIDA4mJibE4Pvvss9wuK1e5uroSExPDX3/9xerVqzl+/DgdOnTI7bJERERERERy3dSpUylYsKDFMXXq1NwuK8epA0geefb29nh4eFgchQoVAiA8PBw7Ozt++uknc/vp06dTrFgxLly4ANwbnTNo0CAGDRpEwYIFKVq0KGPHjiU19f+2H4iPj2f48OGULFkSJycn6tatS3h4uEUdERERNGnShAIFClCoUCECAgK4evUq3bt3Z9u2bcyePds8MufMmTMAHDlyhNatW+Ps7Ezx4sXp0qULly5dMmfeunWLrl274uzsjKenJzNnzszSMzGZTHh4eODp6Un9+vXp1asXu3fv5saNG+Y2I0eOxMfHhwIFClC2bFnGjh1LosE78oiIiIiIiNyXmmrKE8fo0aO5fv26xTF69Oh0ay5atCjW1tbm/3+878KFC3h4eKT7Hg8Pjwzb3/9vdjKNoA4geazdn3rVpUsXrl+/zoEDBxg7diyLFy+2GG63bNkybGxs2L17N7Nnz+b9999n8eLF5uuDBg1i586drFq1ikOHDtGhQwcCAwM5efIkAJGRkTRv3pzKlSuzc+dOfv75Z4KCgkhOTmb27NnUq1ePPn36mEcoeXl5ce3aNZo1a4a/vz979+5l48aNXLhwgY4dO5o/980332Tbtm18/fXXbN68mfDwcPbv35+tZxAbG8vatWuxtrbG+m9bJLu4uBAaGsrRo0eZPXs2ixYt4oMPPnjYRy0iIiIiIvJIsLe3x9XV1eKwt7dPt62dnR21atUiLCzMfC4lJYWwsDDq1auX7nvq1atn0R5gy5Yt5vZPPPEEHh4eFm1u3LjBrl27HphpBJscSxb5j3z33Xc4OztbnPvf//7H//73PwDefvtttmzZQt++fTly5AjdunXjueees2jv5eXFBx98gMlkomLFihw+fJgPPviAPn36EB0dTUhICNHR0ZQoUQKA4cOHs3HjRkJCQpgyZQrTp0+ndu3azJs3z5xZpUoV86/t7OwoUKCARW/u3Llz8ff3Z8qUKeZzS5cuxcvLixMnTlCiRAmWLFnCp59+SvPmzYF7HVWlSpXK9Jlcv34dZ2dnUlNTuX37NgCDBw/GycnJ3GbMmDHmX3t7ezN8+HBWrVrFiBEjMs0XERERERHJL4YOHUq3bt2oXbs2derUYdasWdy6dYsePXoA0LVrV0qWLGmeRvbGG2/QuHFjZs6cyTPPPMOqVavYu3cvH3/8MXBvxkZwcDBvv/02FSpU4IknnmDs2LGUKFGCtm3b5th9qANIHnlNmzZl/vz5FucKFy5s/rWdnR0rVqygWrVqlClTJt1RLk899RQmk8n8ul69esycOZPk5GQOHz5McnIyPj4+Fu+Jj4+nSJEiwL0RQNldY+fgwYNs3bo1TecVQFRUFHfu3CEhIYG6deta3FfFihUzzXZxcWH//v0kJiayYcMGVqxYwTvvvGPR5vPPP2fOnDlERUURFxdHUlISrq6uWa4/Pj4+zUJp8QkJ2NvZZTlDREREREQkr3vppZe4ePEi48aN4/z589SoUYONGzeaZ5VER0djZfV/E6zq16/PypUrGTNmDP/73/+oUKEC69ato2rVquY2I0aM4NatW/Tt25dr167RsGFDNm7ciIODQ47dhzqA5JHn5ORE+fLlM2yzY8cOAK5cucKVK1csRsJkJi4uDmtra/bt22cxhQowd944Ojpms+p7uUFBQUybNi3NNU9PT06dOpXtzPusrKzMz8TX15eoqChee+01PvnkE+DetoSdO3dm4sSJBAQEULBgQVatWpXlNYbg3sJpEydOtDg3on93Rr7W86HrFhERERERyYvurxubnn+uDwvQoUOHDAcJmEwmJk2axKRJk4wqMVNaA0gee1FRUQwZMoRFixZRt25dunXrRkpKikWbXbt2Wbz+5ZdfqFChAtbW1vj7+5OcnExsbCzly5e3OO5P6apWrVqaOZ5/Z2dnR3JyssW5mjVr8uuvv+Lt7Z0m18nJiXLlymFra2tR29WrVzlx4kS2n8GoUaP4/PPPzesH7dixgzJlyvDWW29Ru3ZtKlSowNmzZ7OVmd7CacG9Xs12bSIiIiIiIpLz1AEkj7z4+HjOnz9vcdzfSSs5OZlXX32VgIAAevToQUhICIcOHUoz0iU6OpqhQ4dy/PhxPvvsMz788EPeeOMNAHx8fOjcuTNdu3ZlzZo1nD59mt27dzN16lTWr18P3OsM2bNnDwMGDODQoUP89ttvzJ8/31yHt7c3u3bt4syZM1y6dImUlBQGDhzIlStX6NSpE3v27CEqKopNmzbRo0cPkpOTcXZ2plevXrz55pv8+OOPHDlyhO7du1sMLcwqLy8v2rVrx7hx4wCoUKEC0dHRrFq1iqioKObMmcPatWuzlZnuwmma/iUiIiIiIg+QilWeOPKr/Hvn8tjYuHEjnp6eFkfDhg0BeOeddzh79iwLFy4E7k2t+vjjjxkzZgwHDx40Z3Tt2pU7d+5Qp04dBg4cyBtvvEHfvn3N10NCQujatSvDhg2jYsWKtG3blj179lC6dGngXifR5s2bOXjwIHXq1KFevXp8/fXX2Njcm2U5fPhwrK2tqVy5Mu7u7uYFpSMiIkhOTqZVq1b4+fkRHByMm5ubuZNnxowZNGrUiKCgIFq0aEHDhg2pVavWQz2nIUOGsH79enbv3s1zzz3HkCFDGDRoEDVq1GDHjh2MHTv2oXJFREREREQk7zOlpqam5nYRIrmpSZMm1KhRg1mzZuV2KY+8K4d+MjzzrwI+mTfKpjLXIw3Ns/vzpKF5ALefqG54ZoqVscu+Od68YGgeQGyxqpk3yqYryYUzb5QNpRON//2Osq5kaF4R22uG5gGUOrvd8MyUqOOG5iXfjDM0DyD2+TcMzyz+3VxD8/YvePAU5IcVd+qO4Zm1D600NC/ZytbQPADnDaGGZ95oY+zaePZJtw3NAwz/1/Aka+NHBN+wMfZ7OYBDqrHP0in+qqF5ANcdihmeaTIZ+79/SanG/1m0IiXzRtlUoVwZwzMl+05ERed2CQD4lCud2yXkCo0AEhERERERERF5zKkDSERERERERETkMadt4CXfS2/LPhERERERETFWKqbcLiFf0wggEREREREREZHHnDqAREREREREREQec5oCJiIiIiIiIiI5TlPAcpc6gETEMMk5sO1rAatbhmfecipuaF5KGXtD8wDuOLgZnmlKNXbb15SCpQzNA3CKv2Z4Zqq9sT9oXLEuYWgegM/tw4bmxdp6G5oHcKeo8Zm/ebY1NK/y3T2G5gEU/Wqm4ZmHn5tqaF6lVq8YmpdT9lYztk6fjuUMzQM4M+ZzwzM9rS8YmncB478H2VklGppXMPWKoXmQM9uC26bEG5pnnWLscwQoGH/R8EyrlCRD8+7YuRqaB2DC2J9ZROQedQCJiIiIiIiISI7TCKDcpTWAREREREREREQec+oAknynSZMmBAcHZ7n9mTNnMJlMREZG5lhNeVF+vW8REREREZHHkTqA5JHXvXt3TCYT/fv3T3Nt4MCBmEwmunfvbj63Zs0aJk+enOV8Ly8vYmJiqFq1qhHl/idMJpP5cHV15cknn+Trr7/O7bJERERERCQfS0015Ykjv1IHkDwWvLy8WLVqFXfu3DGfu3v3LitXrqR06dIWbQsXLoyLi0uWs62trfHw8MDG5tFaMiskJISYmBj27t1LgwYNePHFFzl82NiFZkVEREREROTRoA4geSzUrFkTLy8v1qxZYz63Zs0aSpcujb+/v0Xbf04B8/b2ZsqUKfTs2RMXFxdKly7Nxx9/bL7+z6lQ4eHhmEwmNm3ahL+/P46OjjRr1ozY2Fg2bNiAr68vrq6uvPLKK9y+fdvic2bNmmVRS40aNZgwYYL5tclkYuHChTz77LMUKFAAX19fdu7cyalTp2jSpAlOTk7Ur1+fqKioTJ+Jm5sbHh4e+Pj4MHnyZJKSkti6dav5+saNG2nYsCFubm4UKVKEZ599Nku5IiIiIiIi8uhRB5A8Nnr27ElISIj59dKlS+nRo0eW3jtz5kxq167NgQMHGDBgAK+99hrHjx/P8D0TJkxg7ty57Nixgz/++IOOHTsya9YsVq5cyfr169m8eTMffvhhtu9j8uTJdO3alcjISCpVqsQrr7xCv379GD16NHv37iU1NZVBgwZlOS8pKYklS5YAYGf3f9u037p1i6FDh7J3717CwsKwsrKiXbt2pKQYv82qiIiIiIhIKqY8ceRXj9acFpEMvPrqq4wePZqzZ88CEBERwapVqwgPD8/0vW3atGHAgAEAjBw5kg8++ICtW7dSsWLFB77n7bffpkGDBgD06tWL0aNHExUVRdmyZQF48cUX2bp1KyNHjszWffTo0YOOHTuaa6lXrx5jx44lICAAgDfeeCNLHVudOnXC2tqaO3fukJKSgre3tzkXoH379hbtly5diru7O0ePHn2k1jsSERERERGRzGkEkDw23N3deeaZZwgNDSUkJIRnnnmGokWLZum91apVM//aZDLh4eFBbGxslt9TvHhxChQoYO78uX8us4ys5AL4+flZnLt79y43btzIMOeDDz4gMjKSDRs2ULlyZRYvXkzhwoXN10+ePEmnTp0oW7Ysrq6ueHt7AxAdHZ2lOuPj47lx44bFEZ+QkNXbFBERERGRfCa3R/7k9xFA6gCSx0rPnj0JDQ1l2bJl9OzZM8vvs7W1tXhtMpkynQr19/eYTKZMM6ysrEhNTbVok5iYmGnug85lVp+Hhwfly5enVatWhISE8NJLL1l0SAUFBXHlyhUWLVrErl272LVrFwAJWezEmTp1KgULFrQ4Zi9alqX3ioiIiIiIyH9LHUDyWAkMDCQhIYHExETzlKm8wt3dnZiYGPPrGzducPr06f/ks+vUqUOtWrV45513ALh8+TLHjx9nzJgxNG/eHF9fX65evZqtzNGjR3P9+nWL440+3XKifBEREREREfmXtAaQPFasra05duyY+dd5SbNmzQgNDSUoKAg3NzfGjRv3n9YYHBxMu3btGDFiBJ6enhQpUoSPP/4YT09PoqOjGTVqVLby7O3tsbe3tzgX/7dFpkVERERERP4uP0+/ygs0AkgeO66urri6uuZ2GWmMHj2axo0b8+yzz/LMM8/Qtm1bypUr9599fmBgIE888QTvvPMOVlZWrFq1in379lG1alWGDBnCjBkz/rNaRERERERE5L9lSv3noiQiIg/p4q+7DM+84ehueGaBhIwX0M4ux7vXDM0DuFWgiOGZJoO/3dskPxqLfsfZFzI0LxHjR7q53z5raF5sAW9D8wCK3TJ+yupvtjUMzat8d4+heQBsXmN45NHnphqaV44ThubllL3VXjE0z6ej8f+IcnHM54ZnetpdMDTvSnLhzBtlk51V2jUJ/42CqVcMzQO4a+VkeKZT8nVD8xzjjc0DSLY2/u8cq5QkQ/Pu2Bn/D68mjP9f1JI+fpk3khx3+JSx3xMfll/54rldQq7QFDARERERERERyXGpqZoClps0BUxERERERERE5DGnDiARERERERERkcecOoBERERERERERB5z6gASEREREREREXnMaRFoETGOyfhF3WxSjN2ZBCDJ4B01EuycDc0DSLSyNzzTaInWeb9GgCRsc7uETN01eAcVW5PxO7Ql2Tgannkrwdg/iyk2xu+Wk3jF+F19bicaW2eyfd7/Ggfjd+068UWUoXkAVsMdDM8sY33H0Ly7ScZ/nTvYxRuaZ5WabGgegBXGZ6Zi7M8t8bbG/zxg9M8sAA4JNw3Nu2tt/A5tJpM2qn5cpRj8506yRyOAREREREREREQec+oAEhERERERERF5zGkKmIiIiIiIiIjkOKOnXkr2aASQ5FtNmjQhODg4t8uw0L17d9q2bZvbZYiIiIiIiMhjRh1A8sjp3r07JpMJk8mEra0tTzzxBCNGjODu3buGfk5oaCgmkwlfX98017788ktMJhPe3t6Gfubs2bMJDQ01NFNERERERCQvSE015Ykjv1IHkDySAgMDiYmJ4ffff+eDDz5g4cKFjB8/3vDPcXJyIjY2lp07d1qcX7JkCaVLlzb88woWLIibm5vhuSIiIiIiIpK/qQNIHkn29vZ4eHjg5eVF27ZtadGiBVu2bDFfv3z5Mp06daJkyZIUKFAAPz8/Pvvss2x/jo2NDa+88gpLly41n/vzzz8JDw/nlVdesWgbFRXF888/T/HixXF2dubJJ5/khx9+MF//7bffKFCgACtXrjSf++KLL3B0dOTo0aNA2ilgTZo04fXXXyc4OJhChQpRvHhxFi1axK1bt+jRowcuLi6UL1+eDRs2mN8TGhqaphNp3bp1mP62RfuECROoUaMGS5cupXTp0jg7OzNgwACSk5OZPn06Hh4eFCtWjHfeeSfbz0xERERERETyHnUAySPvyJEj7NixAzs7O/O5u3fvUqtWLdavX8+RI0fo27cvXbp0Yffu3dnO79mzJ1988QW3b98G7nWwBAYGUrx4cYt2cXFxtGnThrCwMA4cOEBgYCBBQUFER0cDUKlSJd577z0GDBhAdHQ0f/75J/3792fatGlUrlz5gZ+/bNkyihYtyu7du3n99dd57bXX6NChA/Xr12f//v20atWKLl26mOvLqqioKDZs2MDGjRv57LPPWLJkCc888wx//vkn27ZtY9q0aYwZM4Zdu3Zl84mJiIiIiIiklYopTxz5lTqA5JH03Xff4ezsjIODA35+fsTGxvLmm2+ar5csWZLhw4dTo0YNypYty+uvv05gYCBffPFFtj/L39+fsmXL8tVXX5GamkpoaCg9e/ZM06569er069ePqlWrUqFCBSZPnky5cuX45ptvzG0GDBhAw4YNefXVV+nevTtPPvkkr7/+eoafX716dcaMGUOFChUYPXo0Dg4OFC1alD59+lChQgXGjRvH5cuXOXToULbuKyUlhaVLl1K5cmWCgoJo2rQpx48fZ9asWVSsWJEePXpQsWJFtm7dmq1cERERERERyXu0Dbw8kpo2bcr8+fO5desWH3zwATY2NrRv3958PTk5mSlTpvDFF1/w119/kZCQQHx8PAUKFHioz+vZsychISGULl2aW7du0aZNG+bOnWvRJi4ujgkTJrB+/XpiYmJISkrizp075hFA9y1duhQfHx+srKz49ddfLaZmpadatWrmX1tbW1OkSBH8/PzM5+6PRIqNjc3WPXl7e+Pi4mKRY21tjZWVlcW5B+XGx8cTHx9veS4hAfu/jcQSERERERG5Lz8vwJwXaASQPJKcnJwoX7481atXZ+nSpezatYslS5aYr8+YMYPZs2czcuRItm7dSmRkJAEBASQkJDzU53Xu3JlffvmFCRMm0KVLF2xs0vadDh8+nLVr1zJlyhR++uknIiMj8fPzS/OZBw8e5NatW9y6dYuYmJhMP9vW1tbi9f3dz/7+Gu6N6AGwsrIiNTXV4j2JiYnZzr1/7n7uP02dOpWCBQtaHLMXLcv0fkREREREROS/pxFA8sizsrLif//7H0OHDuWVV17B0dGRiIgInn/+eV599VXgXufIiRMnMlxrJyOFCxfmueee44svvmDBggXptomIiKB79+60a9cOuDci6MyZMxZtrly5Qvfu3XnrrbeIiYmhc+fO7N+/H0dHx4eqKz3u7u7cvHmTW7du4eTkBEBkZKRh+feNHj2aoUOHWpy78Xv2pqGJiIiIiIjIf0MjgOSx0KFDB6ytrfnoo48AqFChAlu2bGHHjh0cO3aMfv36ceHChX/1GaGhoVy6dIlKlSqle71ChQqsWbOGyMhIDh48yCuvvJJm9Ez//v3x8vJizJgxvP/++yQnJzN8+PB/Vdc/1a1blwIFCvC///2PqKgoVq5cSWhoqKGfAfd2YnN1dbU4NP1LREREREQeJLcXf9Yi0CKPARsbGwYNGsT06dO5desWY8aMoWbNmgQEBNCkSRM8PDwstld/GI6OjhQpUuSB199//30KFSpE/fr1CQoKIiAggJo1a5qvL1++nO+//55PPvkEGxsbnJyc+PTTT1m0aJHFNu7/VuHChfn000/5/vvv8fPz47PPPmPChAmG5YuIiIiIiMijx5T6z8VCREQe0sWjuw3PvG1X0PBMq9RkQ/PsE28bmgdw287V8EyjmXg0/vqINxk3xRLIkX81ckm6amjeHVtnQ/MAXO5eMTzzYKJf5o2yoZbVHkPzABI/XWh45uHOiw3Nq2x/3NC8nHJr0ihD8058EWVoHoDV7iOGZ1Zz+s3QvDNJTxiaB+Bmd9PQvIIplw3NA7hr7WR4pkPyLUPzrFOSDM0DSLI2fnS1Q4Kxv9/XHYoZmgdgMhn/M0a5smUNz5Ts23P8Wm6XAMCTFd1yu4RcoTWARERERERERCTHaRew3KUpYCIiIiIiIiIijzmNABIRERERERGRHJeSeRPJQRoBJCIiIiIiIiLymFMHkIiIiIiIiIjIY05TwETEMLbxcYZnXrf1NjyzgJWxu36k2hq/mF2qyfj++Zspxu4sVjTlvKF5AH9R2vBMJ2tjd2mzNhm7ixzA8YQKhuY1rWjszmcAZ08lGp7Z6MwyQ/OSingamgdwpOsCwzPdBjQxNK9Qv+cMzQNIjL1oeOaZMZ8bmmc13MHQPICUOlUNz4z/7XtD88onG7/rW0qStaF512zdDc0DKJBq/M8Y8TYFDM3LicVtrycbvxtq2SRj/3wXSDJ2VzEA6xTj/86RvEGLQOcujQASEREREREREXnMqQNIREREREREROQxpw4gMVR4eDgmk4lr167l+Gd1796dtm3b5vjnZOa3337jqaeewsHBgRo1anDmzBlMJhORkZG5XZqIiIiIiEiekYopTxz5lTqA5D/ttHkcjR8/HicnJ44fP05YWBheXl7ExMRQteq9dQT0fEVERERERCS3qQNI8rXExH+/wFxUVBQNGzakTJkyFClSBGtrazw8PLCxeTTWWE9ISMjtEkRERERERCSHqQPoP5CSksLUqVN54okncHR0pHr16nz11VekpqbSokULAgICSE1NBeDKlSuUKlWKcePGAf83emT9+vVUq1YNBwcHnnrqKY4cOWLxGT///DONGjXC0dERLy8vBg8ezK1b/7fTUXx8PCNHjsTLywt7e3vKly/PkiVLOHPmDE2bNgWgUKFCmEwmunfvnmHdf/f999/j4+ODo6MjTZs25cyZM1l+LmfPniUoKIhChQrh5ORElSpV+P77eztlJCcn06tXL/NnV6xYkdmzZ2eYt3HjRho2bIibmxtFihTh2WefJSoqynz9/tSszz//nMaNG+Pg4MDHH3+Mq6trmvtat24dTk5O3LyZ8a4GJpOJffv2MWnSJEwmExMmTLCYApbR883IV199hZ+fH46OjhQpUoQWLVpY/H4uXbqUKlWqYG9vj6enJ4MGDTJfi46O5vnnn8fZ2RlXV1c6duzIhQsXzNcnTJhAjRo1WLx4MU888QQODvd2Ubl27Rq9e/fG3d0dV1dXmjVrxsGDBzOtVURERERERPI+dQD9B6ZOncry5ctZsGABv/76K0OGDOHVV19l+/btLFu2jD179jBnzhwA+vfvT8mSJc0dQPe9+eabzJw5kz179uDu7k5QUJB59EpUVBSBgYG0b9+eQ4cO8fnnn/Pzzz9bdAp07dqVzz77jDlz5nDs2DEWLlyIs7MzXl5erF69GoDjx48TExNj7mh5UN3btm0D4I8//uCFF14gKCiIyMhIevfuzahRo7L8XAYOHEh8fDzbt2/n8OHDTJs2DWdnZ+Be51OpUqX48ssvOXr0KOPGjeN///sfX3zxxQPzbt26xdChQ9m7dy9hYWFYWVnRrl07UlJSLNqNGjWKN954g2PHjvHCCy/w8ssvExISYtEmJCSEF198ERcXlwzvISYmhipVqjBs2DBiYmIYPny4xfWMnm9GmZ06daJnz54cO3aM8PBwXnjhBXMn4fz58xk4cCB9+/bl8OHDfPPNN5QvX9783J5//nmuXLnCtm3b2LJlC7///jsvvfSSxWecOnWK1atXs2bNGvNaRR06dCA2NpYNGzawb98+atasSfPmzbly5UqG9YqIiIiIiEje92jMUXmExcfHM2XKFH744Qfq1asHQNmyZfn5559ZuHAhK1euZOHChXTt2pXz58/z/fffc+DAgTTTh8aPH0/Lli0BWLZsGaVKlWLt2rV07NiRqVOn0rlzZ4KDgwGoUKECc+bMoXHjxsyfP5/o6Gi++OILtmzZQosWLcw13Fe4cGEAihUrhpubW5bqvp9drlw5Zs6cCUDFihXNHTlZER0dTfv27fHz80tTk62tLRMnTjS/fuKJJ9i5cydffPEFHTt2TDevffv2Fq+XLl2Ku7s7R48eNa/HAxAcHMwLL7xgft27d2/q169PTEwMnp6exMbG8v333/PDDz9keg/3p3o5Ozvj4eEBwKVLl8zXra2t032+GYmJiSEpKYkXXniBMmXKAJifEcDbb7/NsGHDeOONN8znnnzySQDCwsI4fPgwp0+fxsvLC4Dly5dTpUoV9uzZY26XkJDA8uXLcXd3B+6NINu9ezexsbHY29sD8N5777Fu3Tq++uor+vbtm2ndIiIiIiIiGUlNzb8LMOcF6gDKYadOneL27dvmzpv7EhIS8Pf3B+6NvFi7di3vvvsu8+fPp0KFCmly7nfCwL0Om4oVK3Ls2DEADh48yKFDh1ixYoW5TWpqKikpKZw+fZrDhw9jbW1N48aNDa372LFj1K1b94F1Zmbw4MG89tprbN68mRYtWtC+fXuqVatmvv7RRx+xdOlSoqOjuXPnDgkJCdSoUeOBeSdPnmTcuHHs2rWLS5cumUf+REdHW3QA1a5d2+J9derUoUqVKixbtoxRo0bx6aefUqZMGZ5++uks34uRqlevTvPmzfHz8yMgIIBWrVrx4osvUqhQIWJjYzl37hzNmzdP973Hjh3Dy8vL3PkDULlyZdzc3Dh27Ji5A6hMmTLmzh+49zUUFxdHkSJFLPLu3LljMY3u7+Lj44mPj7c8l5CAvZ3dQ923iIiIiIiI5Bx1AOWwuLg4ANavX0/JkiUtrt0faXH79m327duHtbU1J0+efKjP6NevH4MHD05zrXTp0pw6dSpH6v63evfuTUBAAOvXr2fz5s1MnTqVmTNn8vrrr7Nq1SqGDx/OzJkzqVevHi4uLsyYMYNdu3Y9MC8oKIgyZcqwaNEiSpQoQUpKClWrVk2zyLGTk1O6tXz00UeMGjWKkJAQevTogcmUO73T1tbWbNmyhR07drB582Y+/PBD3nrrLXbt2kXRokUN+Yx/PoO4uDg8PT0JDw9P0/ZBo5amTp1qMUoLYGTfrozq382QGkVERERERMQ46gDKYZUrV8be3p7o6OgHjsAZNmwYVlZWbNiwgTZt2vDMM8/QrFkziza//PILpUuXBuDq1aucOHECX19fAGrWrMnRo0fN68D8k5+fHykpKWzbts08Bezv7P7/iI3k5ORs1e3r68s333yTps7s8PLyon///vTv35/Ro0ezaNEiXn/9dSIiIqhfvz4DBgwwt33QSBSAy5cvc/z4cRYtWkSjRo2Ae9OasurVV19lxIgRzJkzh6NHj9Ktm3GdGOk938yYTCYaNGhAgwYNGDduHGXKlGHt2rUMHToUb29vwsLCzItL/52vry9//PEHf/zxh3kU0NGjR7l27RqVK1d+4OfVrFmT8+fPY2Njg7e3d5ZqHD16NEOHDrU4d+fYjizfo4iIiIiI5C+paApYblIHUA5zcXFh+PDhDBkyhJSUFBo2bMj169eJiIjA1dWVokWLsnTpUnbu3EnNmjV588036datG4cOHaJQoULmnEmTJlGkSBGKFy/OW2+9RdGiRWnbti0AI0eO5KmnnmLQoEH07t0bJycnjh49ypYtW5g7dy7e3t5069aNnj17MmfOHKpXr87Zs2eJjY2lY8eOlClTBpPJxHfffUebNm1wdHTMtO5u3brRv39/Zs6cyZtvvknv3r3Zt28foaGhWX42wcHBtG7dGh8fH65evcrWrVvNnVoVKlRg+fLlbNq0iSeeeIJPPvmEPXv28MQTT6SbVahQIYoUKcLHH3+Mp6cn0dHR2VqQulChQrzwwgu8+eabtGrVilKlSmX5vZlJ7/neX+w6Pbt27SIsLIxWrVpRrFgxdu3axcWLF83PZsKECfTv359ixYrRunVrbt68SUREBK+//jotWrTAz8+Pzp07M2vWLJKSkhgwYACNGzdOM/Xt71q0aEG9evVo27Yt06dPx8fHh3PnzrF+/XratWuX7nvt7e3TjAZL0fQvERERERGRPEm7gP0HJk+ezNixY5k6dSq+vr4EBgayfv16vL296dWrFxMmTKBmzZoATJw4keLFi9O/f3+LjHfffZc33niDWrVqcf78eb799lvzyJJq1aqxbds2Tpw4QaNGjfD392fcuHGUKFHC/P758+fz4osvMmDAACpVqkSfPn3M24qXLFmSiRMnMmrUKIoXL27ePexBdd/vhCldujSrV69m3bp1VK9enQULFjBlypQsP5fk5GQGDhxozvbx8WHevHkA9OvXjxdeeIGXXnqJunXrcvnyZYvRQP9kZWXFqlWr2LdvH1WrVmXIkCHMmDEjy7UA9OrVi4SEBHr27Jmt92XmQc/3QVxdXdm+fTtt2rTBx8eHMWPGMHPmTFq3bg1At27dmDVrFvPmzaNKlSo8++yz5qmDJpOJr7/+mkKFCvH000/TokULypYty+eff57hZ5pMJr7//nuefvppevTogY+PDy+//DJnz56lePHixjwIERERERHJ11JS88aRX5lS7+8tLXlSeHg4TZs25erVq1naQUoe3ieffMKQIUM4d+6cuXNNsufagR8Nz4x2rpp5o2wqYHXL0Dy7lLuG5gEkW9kannkzxdXQvKIp5w3NA/iL0oZnOlnfNjTP2pT16ZxZde62Met73dfUz9HQPICzp44bnln8xDZD85KKeBqaB7DfuVnmjbKpwIC007H/jSr9njM0DyAx9qLhmUcCJmbeKBuu33UwNA8gpY7xf+f4/va9oXlOCdcMzQNIMVkbmnfN1j3zRtlUIDXO8Mwkg/+uzYndja4nFzQ8s+ydw4bm3XEolHmjbLJOSTQ8s7hvLcMzJfu2/2rsz+EP6+kqadeFzQ80BUzyvdu3bxMTE8O7775Lv3791PkjIiIiIiIijx1NAZMc07p1a5ydndM9sjNVLKdNnz6dSpUq4eHhwejRoy2uTZky5YH3cH9KVnZFR0c/MNPZ2Zno6GgjbktERERERCRPScWUJ478SiOA8rgmTZrwqM7SW7x4MXfu3En3WuHChf/jah5swoQJTJgwId1r/fv3p2PHjulec3R8uCkWJUqUIDIyMsPrIiIiIiIiIkZSB5DkmJIlS+Z2Cf9a4cKFDe+ssrGxoXz58oZmioiIiIiIiGREHUAiIiIiIiIikuNyYrF0yTqtASQiIiIiIiIi8pjTNvAiYpj9Jy4bnulgFW94ZrG7Zw3Nu2Nv/BatDok5sd2tsTvcpZqM/zcEq1Tjt1g3eqE/m5QEQ/MA4uyNnWqakgO/NzeSXQ3PjE82dgtma5PxP9J4WJ0zPNNoRv/ZBrBNvmt4ZqK1sdu22yWnv87gvxFvXcDwzGOV2hiad27DcUPzABrOb2lonu30jw3NAyh609i/uwGuORu77mKSydjvaQAFkm4anmn03xF3rR+N7bTLl3sit0sQYOth4793P4ymfg+3nuujTiOAREREREREREQec+oAEhERERERERF5zKkDSB5poaGhuLm55ehnNGnShODg4FyvQ0RERERE5FGWgilPHPmVOoDkP9e9e3fatm2b22WkER4ejslk4tq1axbn16xZw+TJk82vvb29mTVr1n9bnIiIiIiIiMi/oG3gRTJRuLCxi7PmNQkJCdjZGb+AqIiIiIiIiOQdGgEkOearr77Cz88PR0dHihQpQosWLXjzzTdZtmwZX3/9NSaTCZPJRHh4eLqjbyIjIzGZTJw5c8Z8LjQ0lNKlS1OgQAHatWvH5cv/t+vUmTNnsLKyYu/evRZ1zJo1izJlypCSkvLAWs+cOUPTpk0BKFSoECaTie7duwOWU8CaNGnC2bNnGTJkiLn+B/n666+pWbMmDg4OlC1blokTJ5KUlJTpc0tNTWXChAmULl0ae3t7SpQoweDBg83X4+PjGTlyJF5eXtjb21O+fHmWLFlivr5t2zbq1KmDvb09np6ejBo1yuJzmzRpwqBBgwgODqZo0aIEBAQAcOTIEVq3bo2zszPFixenS5cuXLp0KdN6RUREREREsiI11ZQnjvxKHUCSI2JiYujUqRM9e/bk2LFjhIeH88ILLzB+/Hg6duxIYGAgMTExxMTEUL9+/Sxl7tq1i169ejFo0CAiIyNp2rQpb7/9tvm6t7c3LVq0ICQkxOJ9ISEhdO/eHSurB3+5e3l5sXr1agCOHz9OTEwMs2fPTtNuzZo1lCpVikmTJpnrT89PP/1E165deeONNzh69CgLFy4kNDSUd955J9P7XL16NR988AELFy7k5MmTrFu3Dj8/P/P1rl278tlnnzFnzhyOHTvGwoULcXZ2BuCvv/6iTZs2PPnkkxw8eJD58+ezZMkSi+cEsGzZMuzs7IiIiGDBggVcu3aNZs2a4e/vz969e9m4cSMXLlygY8eOmdYrIiIiIiIieZ+mgEmOiImJISkpiRdeeIEyZcoAmDsxHB0diY+Px8PDI1uZs2fPJjAwkBEjRgDg4+PDjh072Lhxo7lN79696d+/P++//z729vbs37+fw4cP8/XXX2eYbW1tbZ7qVaxYsQcu6Fy4cGGsra1xcXHJsP6JEycyatQounXrBkDZsmWZPHkyI0aMYPz48RnWEh0djYeHBy1atMDW1pbSpUtTp04dAE6cOMEXX3zBli1baNGihTn7vnnz5uHl5cXcuXMxmUxUqlSJc+fOMXLkSMaNG2fuBKtQoQLTp083v+/tt9/G39+fKVOmmM8tXboULy8vTpw4gY+PT4Y1i4iIiIiIZCY1NbcryN80AkhyRPXq1WnevDl+fn506NCBRYsWcfXq1X+VeezYMerWrWtxrl69ehav27Zti7W1NWvXrgXuTRlr2rQp3t7e/+qzs+vgwYNMmjQJZ2dn89GnTx9iYmK4fft2hu/t0KEDd+7coWzZsvTp04e1a9eap3BFRkZibW1N48aN033vsWPHqFevnsXUtAYNGhAXF8eff/5pPlerVq009W7dutWi3kqVKgEQFRWV7mfFx8dz48YNiyMhIT7zhyMiIiIiIiL/OXUASY6wtrZmy5YtbNiwgcqVK/Phhx9SsWJFTp8+nW77+yNTUv/WJZyYmJjtz7Wzs6Nr166EhISQkJDAypUr6dmz58PdxL8QFxfHxIkTiYyMNB+HDx/m5MmTODg4ZPheLy8vjh8/zrx583B0dGTAgAE8/fTTJCYm4ujoaEh9Tk5OaeoNCgqyqDcyMpKTJ0/y9NNPp5sxdepUChYsaHGELJxlSH0iIiIiIiJiLHUASY4xmUw0aNCAiRMncuDAAezs7Fi7di12dnYkJydbtHV3dwewWFMnMjLSoo2vry+7du2yOPfLL7+k+dzevXvzww8/MG/ePPM0tKy4vxPWP2tLr11mbWrWrMnx48cpX758miOjtYjuc3R0JCgoiDlz5hAeHs7OnTs5fPgwfn5+pKSksG3btnTf5+vry86dOy060iIiInBxcaFUqVIZ1vvrr7/i7e2dpt5/dhbdN3r0aK5fv25x9OgXnOm9iYiIiIhI/pSKKU8cOeXKlSt07twZV1dX3Nzc6NWrF3FxcRm2f/3116lYsSKOjo6ULl2awYMHc/36dYt29zcg+vuxatWqbNenDiDJEbt27WLKlCns3buX6Oho1qxZw8WLF/H19cXb25tDhw5x/PhxLl26RGJiIuXLl8fLy4sJEyZw8uRJ1q9fz8yZMy0yBw8ezMaNG3nvvfc4efIkc+fOtVj/5z5fX1+eeuopRo4cSadOnbI8aqZMmTKYTCa+++47Ll68+MA/qN7e3mzfvp2//vrrgbtkjRs3juXLlzNx4kR+/fVXjh07xqpVqxgzZkymdYSGhrJkyRKOHDnC77//zqeffoqjoyNlypTB29ubbt260bNnT9atW8fp06cJDw/niy++AGDAgAH88ccfvP766/z22298/fXXjB8/nqFDh2bY8TRw4ECuXLlCp06d2LNnD1FRUWzatIkePXo8sLPL3t4eV1dXi8POzj7T+xMREREREXkcde7cmV9//ZUtW7bw3XffsX37dvr27fvA9ufOnePcuXO89957HDlyhNDQUDZu3EivXr3StA0JCTFvRBQTE0Pbtm2zXZ86gCRHuLq6sn37dtq0aYOPjw9jxoxh5syZtG7dmj59+lCxYkVq166Nu7s7ERER2Nra8tlnn/Hbb79RrVo1pk2blmbnqqeeeopFixYxe/ZsqlevzubNmx/YodKrVy8SEhKyNf2rZMmS5sWbixcvzqBBg9JtN2nSJM6cOUO5cuXMI5f+KSAggO+++47Nmzfz5JNP8tRTT/HBBx+YF8TOiJubG4sWLaJBgwZUq1aNH374gW+//ZYiRYoAMH/+fF588UUGDBhApUqV6NOnD7du3TLfw/fff8/u3bupXr06/fv3p1evXpl2PJUoUYKIiAiSk5Np1aoVfn5+BAcH4+bmlqURSyIiIiIiIvnZsWPH2LhxI4sXL6Zu3bo0bNiQDz/8kFWrVnHu3Ll031O1alVWr15NUFAQ5cqVo1mzZrzzzjt8++235nVg73Nzc8PDw8N8ZLa0SHpMqalah1seP5MnT+bLL7/k0KFDuV1KvrL/xGXDMx2sjF9Yutjds4bm3bEvaGgegEPig4eKPqwkKztD81JNxncOWqVmPL3yYRg9zNcmJcHQPIA4+8KG5qXkwO/NjWRXwzPjk20NzbM2Gf8jjYdV+j+w5SVG/9kGsE2+a3hmonX2f1DNiF3yHUPzAOKtCxieeaxSG0Pzzm04bmgeQMP5LQ3Ns53+saF5AEVvGvt3N8A15xKG5iWZjP2eBlAg6abhmUb/HXHXOv3lAvKa8uWeyO0SBNh80Pifox5Gq+rG/925dOlShg0bZrH5UVJSEg4ODnz55Ze0a9cuSzmLFy9m9OjRXLx40XzOZDJRokQJ4uPjKVu2LP3796dHjx4Wm/9khbaBl8dKXFwcZ86cYe7cuWlGEImIiIiIiIjEx8cTH2/5D8329vbY2z/8khbnz5+nWLFiFudsbGwoXLgw58+fz1LGpUuXmDx5cpppY5MmTaJZs2YUKFCAzZs3M2DAAOLi4hg8eHC2atTcDnmsDBo0iFq1atGkSZM007/69+9vsc3534/+/fv/ZzWuWLHigXVUqVLlP6tDRERERETkv5SSmjeO9HY0njp1aro1jxo1Kt1FmP9+/Pbbb//62dy4cYNnnnmGypUrM2HCBItrY8eOpUGDBvj7+zNy5EhGjBjBjBkzsv0ZGgEkj5XQ0FBCQ0PTvTZp0iSGDx+e7jVXV+OnNjzIc889R926ddO9Zmtr/NBhERERERER+T+jR49m6NChFuceNPpn2LBhdO/ePcO8smXL4uHhQWxsrMX5pKQkrly5goeHR4bvv3nzJoGBgbi4uLB27dpM/7+wbt26TJ48mfj4+GyNWlIHkOQbxYoVSzMkLze4uLjg4uKS22WIiIiIiIjkS9mZ7uXu7v7AzX/+rl69ely7do19+/ZRq1YtAH788UdSUlIeOAAA7o38CQgIwN7enm+++SZLiztHRkZSqFChbE9ZUweQiIiIiIiIiOS41FRjN+fIS3x9fQkMDKRPnz4sWLCAxMREBg0axMsvv0yJEvcWnf/rr79o3rw5y5cvp06dOty4cYNWrVpx+/ZtPv30U27cuMGNGzeAex1P1tbWfPvtt1y4cIGnnnoKBwcHtmzZwpQpUx44uyUj6gASEcO4Wt8wPDM5B75NxTkUMTQvJ3auumNr/Cgxo3ftSrIyfspiSqq14ZkmUgzNs8b43++bKcZOQy3EJUPzAKxxNjzTzdbY3W2uJRr/5yY6sbThmZ72FwzNc0i6ZWge5MwuYBcwdselu0nG7+BSPtn4HbaM3rWrROuKhuYBlNo529C8SznwffK2o7G7JQLYGfx1nmJj/N9hidYPvyDtg1xPLWRonh3G7+pkQhtVy6NpxYoVDBo0iObNm2NlZUX79u2ZM2eO+XpiYiLHjx/n9u3bAOzfv59du3YBUL58eYus06dP4+3tja2tLR999BFDhgwhNTWV8uXL8/7779OnT59s16cOIBERERERERGRf6lw4cKsXLnygde9vb1JTf2/Ds4mTZpYvE5PYGAggYGBhtSnDiARERERERERyXGZ9HVIDtM28CIiIiIiIiIijzl1AEm+06RJE4KDg3O7jH9lwoQJ1KhRI0ttu3fvTtu2bXO0HhERERERkcykYMoTR36lDiDJdRcvXuS1116jdOnS2Nvb4+HhQUBAABEREeY2JpOJdevW5V6Rf3PmzBlMJhORkZG5XUqWzJ49m9DQ0Gy9Jy89bxEREREREfn3tAaQ5Lr27duTkJDAsmXLKFu2LBcuXCAsLIzLly/ndmmPhYIFC+Z2CSIiIiIiIpLLNAJIctW1a9f46aefmDZtGk2bNqVMmTLUqVOH0aNH89xzzwH3VkoHaNeuHSaTyfw6valNwcHBNGnSxPz61q1bdO3aFWdnZzw9PZk5c6ZF+0mTJlG1atU0ddWoUYOxY8c+1D2lpKQwdepUnnjiCRwdHalevTpfffWV+VqpUqWYP3++xXsOHDiAlZUVZ8+eNT+X3r174+7ujqurK82aNePgwYMPVc8/n1OTJk0YPHgwI0aMoHDhwnh4eDBhwgTz9Qc9bxERERERkX8jNTVvHPmVOoAkVzk7O+Ps7My6deuIj49Pt82ePXsACAkJISYmxvw6K9588022bdvG119/zebNmwkPD2f//v3m6z179uTYsWMWmQcOHODQoUP06NHjoe5p6tSpLF++nAULFvDrr78yZMgQXn31VbZt24aVlRWdOnVKszXgihUraNCgAWXKlAGgQ4cOxMbGsmHDBvbt20fNmjVp3rw5V65ceaia/mnZsmU4OTmxa9cupk+fzqRJk9iyZQvw7563iIiIiIiI5E3qAJJcZWNjQ2hoKMuWLcPNzY0GDRrwv//9j0OHDpnbuLu7A+Dm5oaHh4f5dWbi4uJYsmQJ7733Hs2bN8fPz49ly5aRlJRkblOqVCkCAgIICQkxnwsJCaFx48aULVs22/cTHx/PlClTWLp0KQEBAZQtW5bu3bvz6quvsnDhQgA6d+5MREQE0dHRwL1RQatWraJz584A/Pzzz+zevZsvv/yS2rVrU6FCBd577z3c3NzMI4n+rWrVqjF+/HgqVKhA165dqV27NmFhYcDDP28RERERERHJu9QBJLmuffv2nDt3jm+++YbAwEDCw8OpWbNmthcu/qeoqCgSEhKoW7eu+VzhwoWpWLGiRbs+ffrw2WefcffuXRISEli5ciU9e/Z8qM88deoUt2/fpmXLlubRTc7OzixfvpyoqCjg3vQyX19f8yigbdu2ERsbS4cOHQA4ePAgcXFxFClSxCLj9OnT5ox/q1q1ahavPT09iY2NzVZGfHw8N27csDgeNIpLREREREQkNdWUJ478SotAS57g4OBAy5YtadmyJWPHjqV3796MHz+e7t27P/A9VlZWpP5jAmdiYmK2PzsoKAh7e3vWrl2LnZ0diYmJvPjii9nOgXujjgDWr19PyZIlLa7Z29ubf925c2dWrlzJqFGjWLlyJYGBgRQpUsSc4enpSXh4eJp8Nze3h6rrn2xtbS1em0wmUlJSspUxdepUJk6caHHu9dcHM/iN4H9bnoiIiIiIiBhMHUCSJ1WuXNliG3JbW1uSk5Mt2ri7u3PkyBGLc5GRkebOjXLlymFra8uuXbsoXbo0AFevXuXEiRM0btzY/B4bGxu6detGSEgIdnZ2vPzyyzg6Oj503fb29kRHR1t8xj+98sorjBkzhn379vHVV1+xYMEC87WaNWty/vx5bGxscm0B5vSe9z+NHj2aoUOHWpz7489zOVmWiIiIiIg8wlLy8QLMeYE6gCRXXb58mQ4dOtCzZ0+qVauGi4sLe/fuZfr06Tz//PPmdt7e3oSFhdGgQQPs7e0pVKgQzZo1Y8aMGSxfvpx69erx6aefcuTIEfz9/YF7C0z36tWLN998kyJFilCsWDHeeustrKzSznzs3bs3vr6+AERERGSp9uPHj6c5V6VKFYYPH86QIUNISUmhYcOGXL9+nYiICFxdXenWrZv5furXr0+vXr1ITk4273gG0KJFC+rVq0fbtm2ZPn06Pj4+nDt3jvXr19OuXTtq166d9Qf8kNJ73v9kb29vMarp3rnLOV6biIiIiIiIZJ86gCRXOTs7U7duXT744AOioqJITEzEy8uLPn368L///c/cbubMmQwdOpRFixZRsmRJzpw5Q0BAAGPHjmXEiBHcvXuXnj170rVrVw4fPmx+34wZM4iLiyMoKAgXFxeGDRvG9evX09RRoUIF6tevz5UrVyzWDMrIyy+/nObcH3/8weTJk3F3d2fq1Kn8/vvvuLm5UbNmTYv7gXvTwAYMGEDXrl0tRhyZTCa+//573nrrLXr06MHFixfx8PDg6aefpnjx4lmq7d9K73mLiIiIiIjIo8uU+s9FVETyodTUVCpUqMCAAQPSTGuSrDsVddrwzOQc6Ke2T71jaJ5VasbT5fKKVJOx6/4nWdlm3iibUlKtDc80kb31rTJjjfG/3zdTXA3NK8QlQ/MArlLU8Ew7qwRD864luhiaB5CcYvzXpKf9BUPzHJJuGZoHYJt81/DMaJvyhubdTbIzNA+gvCnt6N5/65u/ahmaV6J1xcwbZdPTO2cbmnepkLG/1wD2SbcNzzTaXRsnwzOtU5Myb5RN11PTjuz+N4z+Xg5gwvj/Ra1YzsvwTMm+tbvzxs/N7eoY//f7o0AjgCTfu3jxIqtWreL8+fP06NEjt8sRERERERERMZw6gCTfK1asGEWLFuXjjz9Od62bvM7Z2fmB1zZs2ECjRo3+w2pEREREREQkL1IHkOR7j/osyMjIyAde++dW9CIiIiIiIrklFVNul5CvqQNI5BFXvrzx8+xFRERERETk8aIOIBERERERERHJcSmP9uSLR546gETEMFeTjF9DycE63vBM99tnDM27a1/Q0DwAh4QbhmcmG7xrV6KNo6F5AKZUY3fsAkixMnaXB4eEm4bmASQ42hualxO7qV2LN353m5RUY3ftupNo/I81ZV3PG55pm2Ls97Wc2JHPJtn4XX3srBINzXOwM/7vh5Qk4//sNJzf0tC8Ugbv2AWwvd4bhuZV/G2joXkArtfOGp55rmh1Q/NsMPZrHMAuydidSwFcbI39Ok/A2L/DQNOERHKKsXsCi4iIiIiIiIhInqMOIBERERERERGRx5w6gET+pkmTJgQHB+dY/pkzZzCZTBnu3GV0HaGhobi5uRmSJSIiIiIiIo8mdQBJnnbx4kVee+01Spcujb29PR4eHgQEBBAREWFuYzKZWLduXe4V+f9NmDABk8mU4eHl5UVMTAxVq1YFIDw8HJPJxLVr13KsrpdeeokTJ05k6z053REmIiIiIiIi/y0tAi15Wvv27UlISGDZsmWULVuWCxcuEBYWxuXLl3O7tDSGDx9O//79za+ffPJJ+vbtS58+fcznrK2t8fDw+E/rcnR0xNHR+MV6RUREREREsiNVu4DlKo0Akjzr2rVr/PTTT0ybNo2mTZtSpkwZ6tSpw+jRo3nuuecA8Pb2BqBdu3aYTCbz6+7du9O2bVuLvODgYJo0aWJ+fevWLbp27YqzszOenp7MnDnTov2kSZPMI3X+rkaNGowdOzbNeWdnZzw8PMyHtbU1Li4uFuf+PgXszJkzNG3aFIBChQphMpno3r17us8iPj6e4cOHU7JkSZycnKhbty7h4eGZP0TSTgGbMGECNWrU4JNPPsHb25uCBQvy8ssvc/PmvZ2NunfvzrZt25g9e7Z55NKZM2ey9FkiIiIiIiKSN6kDSPIsZ2dnnJ2dWbduHfHx6W/1umfPHgBCQkKIiYkxv86KN998k23btvH111+zefNmwsPD2b9/v/l6z549OXbsmEXmgQMHOHToED169HjIu/o/Xl5erF69GoDjx48TExPD7Nnpb+06aNAgdu7cyapVqzh06BAdOnQgMDCQkydPPtRnR0VFsW7dOr777ju+++47tm3bxrvvvgvA7NmzqVevHn369CEmJoaYmBi8vLwe7iZFRERERET+v9TUvHHkV+oAkjzLxsaG0NBQli1bhpubGw0aNOB///sfhw4dMrdxd3cHwM3NDQ8PD/PrzMTFxbFkyRLee+89mjdvjp+fH8uWLSMpKcncplSpUgQEBBASEmI+FxISQuPGjSlbtuy/vj9ra2sKFy4MQLFixfDw8KBgwYJp2kVHRxMSEsKXX35Jo0aNKFeuHMOHD6dhw4YWtWVHSkoKoaGhVK1alUaNGtGlSxfCwsIAKFiwIHZ2dhQoUMBiNJOIiIiIiIg8utQBJHla+/btOXfuHN988w2BgYGEh4dTs2ZNQkND/1VuVFQUCQkJc73kqwABAABJREFU1K1b13yucOHCVKxY0aJdnz59+Oyzz7h79y4JCQmsXLmSnj17/qvPzq7Dhw+TnJyMj4+PeVSUs7Mz27ZtIyoq6qEyvb29cXFxMb/29PQkNjY2Wxnx8fHcuHHD4khISH+kloiIiIiIiOQuLQIteZ6DgwMtW7akZcuWjB07lt69ezN+/PgHrpcDYGVlReo/xvYlJiZm+7ODgoKwt7dn7dq12NnZkZiYyIsvvpjtnH8jLi4Oa2tr9u3bl2YkjrOz80Nl2traWrw2mUykpKRkK2Pq1KlMnDjR4lzvgSPp+/qoh6pJREREREQebympptwuIV9TB5A8cipXrmyx7butrS3JyckWbdzd3Tly5IjFucjISHPHR7ly5bC1tWXXrl2ULl0agKtXr3LixAkaN25sfo+NjQ3dunUjJCQEOzs7Xn75ZUN31LKzswNIU//f+fv7k5ycTGxsLI0aNTLsszOrK6OaAEaPHs3QoUMtzh0+eycnyxIREREREZGHpA4gybMuX75Mhw4d6NmzJ9WqVcPFxYW9e/cyffp0nn/+eXM7b29vwsLCaNCgAfb29hQqVIhmzZoxY8YMli9fTr169fj00085cuQI/v7+wL2RM7169eLNN9+kSJEiFCtWjLfeegsrq7SzInv37o2vry8AERERht5jmTJlMJlMfPfdd7Rp0wZHR8c0o3p8fHzo3LkzXbt2ZebMmfj7+3Px4kXCwsKoVq0azzzzjKE1wb1numvXLs6cOYOzszOFCxdO82zs7e2xt7e3OGdnl71RRCIiIiIiIvLf0BpAkmc5OztTt25dPvjgA55++mmqVq3K2LFj6dOnD3PnzjW3mzlzJlu2bMHLy8vcwRMQEMDYsWMZMWIETz75JDdv3qRr164W+TNmzKBRo0YEBQXRokULGjZsSK1atdLUUaFCBerXr0+lSpUs1gwyQsmSJZk4cSKjRo2iePHiDBo0KN12ISEhdO3alWHDhlGxYkXatm3Lnj17zKOXjDZ8+HCsra2pXLky7u7uREdH58jniIiIiIhI/pHbu3/l913ATKn/XChFRCykpqZSoUIFBgwYkGbKk1jac/ya4ZkO1sYvLF3y9glD8+7ap9297d9ySLhheGaylW3mjbIh0ca46ZD3mVKNH0WWYmXsLnYOCTcNzQO45OhlaJ5D6m1D8wDOxpcyPDMl1dh/h7qTaPzA5rKu5w3PLJBi7NdQKsavp+CQeMvwzAt2xn6dW2H894vCSRcMz7z21puG5pUaPczQPIDt9d4wNK/ibxsNzQPwuHQk80bZdK5odUPzbMj+epOZcUw0/u+cu7YPt4bkgyRgn3mjbMqJ72uVyhn/95hk32cReaP7oVOD/LkWkaaAiWTg4sWLrFq1ivPnz9OjR4/cLkdEREREROSRpeEnuUtTwEQyUKxYMSZNmsTHH39MoUKFcrucdLVu3dpie/i/H1OmTMnt8kRERERERCQP0AggkQw8CjMkFy9ezJ076e++Vbhw4f+4GhEREREREcmL1AEk8ogrWbJkbpcgIiIiIiKSqZS8/+/rjzVNARMRERERERERecxpBJCIGKZU6hnDM2/+P/buO77G+338+Oskkb1FxEgTISFIInbiW0mJJoLaVFWEoKqKqtmPEVtVjLYfVJFoa9Ss1CYVNFaMoMRo0Ggbo3aMyDi/P/zcH0d23GmC6/l4nMfDucd1X/f7nJw4V95Do/4wNrVX7TJKT1U1HsADI2vVY6pNg/p/wnmsb6p6zLtaa1XjmZhYqhoPwBB1V7tL1xiqGg+gduZR1WMa3b+hajxN+mNV4wFcs6ijesx/sFc1npXeHVXjAWToq7+akZX2pqrx9LSZqsYDuF2mnOoxy8xYqGq8f1D/vtVetetsjSBV4wFoz2xXPab93d9VjZdloP5nr15mhuoxM/XU/Qqo0VN/RT4hRPGQApAQQgghhBBCCCGKnVb7ei6/XlrIEDAhhBBCCCGEEEKIV5z0ABJCCCGEEEIIIUSxewkWWX6lSQ+gf8mDBw/o2LEjlpaWaDQabt++XWzXunTpEhqNhoSEhGK7Rk6ioqKwtrYuNXE0Gg0//fQToG6bODs7M2fOnBeOI4QQQgghhBBC/FukB9C/ZOnSpezdu5d9+/ZhZ2eHlZW6k9A+y9HRkZSUFOzs7IrtGsWpa9euBAcHv3CclJQUbGxsVMhIV3x8PGZmZspzjUbD+vXradeunerXEkIIIYQQQggh1CAFoBf0+PFjDA3zn/E/KSkJd3d3ateuXew56evr4+DgUOzXKS4mJiaYmJi8cBy12+Dpa12unPorhJSk9PR0ypQpU9JpCCGEEEIIIV5xWTIErETJELDn+Pv7M3DgQAYOHIiVlRV2dnaMHTsW7f8frOjs7MykSZMICQnB0tKSfv36AbB27Vpq1aqFkZERzs7ORERE6MSMiIhgz549aDQa/P39AUhLS2PYsGFUqlQJMzMzGjVqRGxsrHLeH3/8QZs2bbCxscHMzIxatWqxefNmAG7dukX37t0pV64cJiYmuLq6EhkZCeQ83Gn37t00bNgQIyMjKlSowKhRo8jI+N+ykv7+/gwaNIgRI0Zga2uLg4MD4eHhOm0za9YsPDw8MDMzw9HRkQEDBpCaWrTlr48fP85bb72FhYUFlpaW1KtXj8OHDwPZh4CFh4dTp04dlixZwhtvvIG5uTkDBgwgMzOTGTNm4ODggL29PVOmTNG5xrNDwJ6XmZlJWFgYVapUwcTEhOrVqzN37lydY0JDQ2nXrh1TpkyhYsWKVK9eHdAdAubs7AxA+/bt0Wg0ODs7c+nSJfT09JT7eWrOnDk4OTmRlZX3Upl5vbYAf/75J926dcPW1hYzMzPq16/PwYMHlf3z58+natWqGBoaUr16db7//vts7TJ//nzeeecdzMzMlHbbsGEDdevWxdjYGBcXFyZMmKDzHhFCCCGEEEII8fKSHkA5WLp0KWFhYRw6dIjDhw/Tr18/3njjDfr27QvAzJkzGTduHOPHjwfgyJEjdOnShfDwcLp27cq+ffsYMGAAZcuWJTQ0lHXr1jFq1Ch+++031q1bp/QYGjhwIKdPn2blypVUrFiR9evXExQUxMmTJ3F1deWjjz7i8ePH7NmzBzMzM06fPo25uTkAY8eO5fTp02zZsgU7Ozt+//13Hj58mOP9/PXXXwQHBxMaGsp3333HmTNn6Nu3L8bGxjpFnqVLlzJ06FAOHjzI/v37CQ0NpUmTJrRo0QIAPT09vvzyS6pUqcKFCxcYMGAAI0aMYN68eYVu4+7du+Pt7c38+fPR19cnISEhz14oSUlJbNmyha1bt5KUlESnTp24cOECbm5u7N69m3379tG7d28CAgJo1KhRvtfPysqicuXKrF69mrJly7Jv3z769etHhQoV6NKli3JcTEwMlpaW7NixI8c48fHx2NvbExkZSVBQEPr6+pQrV46AgAAiIyOpX7++cmxkZCShoaHo6eVdd83rtU1NTcXPz49KlSoRHR2Ng4MDR48eVYpK69evZ/DgwcyZM4eAgAA2btxIr169qFy5Mm+99ZZyjfDwcKZPn86cOXMwMDBg7969hISE8OWXX/Lmm2+SlJSkFDefvs+FEEIIIYQQQry8pACUA0dHR2bPno1Go6F69eqcPHmS2bNnKwWgZs2a8emnnyrHd+/enebNmzN27FgA3NzcOH36NF988QWhoaHY2tpiamqKoaGhMiwpOTmZyMhIkpOTqVixIgDDhg1j69atREZGMnXqVJKTk+nYsSMeHh4AuLi4KNdMTk7G29tbKTA87YmSk3nz5uHo6MjXX3+NRqOhRo0a/P3334wcOZJx48YpBQlPT0/ly76rqytff/01MTExSgFoyJAhSkxnZ2cmT55M//79i1QASk5OZvjw4dSoUUO5Xl6ysrJYsmQJFhYW1KxZk7feeouzZ8+yefNm9PT0qF69Op9//jm7du0qUAGoTJkyTJgwQXlepUoV9u/fz6pVq3QKQGZmZixatCjXYX5Ph4NZW1vrDDnr06cP/fv3Z9asWRgZGXH06FFOnjzJhg0b8s0tr9d2+fLlXL9+nfj4eGxtbQGoVq2asn/mzJmEhoYyYMAAAIYOHcqBAweYOXOmTgHovffeo1evXsrz3r17M2rUKHr27Ak8ea9NmjSJESNGSAFICCGEEEIIoQpZBaxkyRCwHDRu3BiNRqM89/Hx4fz582RmZgLo9OoASExMpEmTJjrbmjRponPO806ePElmZiZubm6Ym5srj927d5OUlATAoEGDmDx5Mk2aNGH8+PGcOHFCOf/DDz9k5cqV1KlThxEjRrBv375c7ycxMREfHx+de2rSpAmpqan8+eefyjZPT0+d8ypUqMC1a9eU5zt37qR58+ZUqlQJCwsLevTowY0bN3jw4EGu187N0KFD6dOnDwEBAUyfPl2559w4OztjYWGhPC9fvjw1a9bU6U1Tvnx5nXzz89///pd69epRrlw5zM3NWbhwIcnJyTrHeHh4FGiOp+e1a9cOfX191q9fDzwZ1vbWW2/lWah7Kq/XNiEhAW9vb6X487zc3ouJiYk6255/Dx8/fpyJEyfqvBf79u1LSkpKrq9vWload+/e1XmkPX6c7/0JIYQQQgghhPj3SQGoCJ5dAaqoUlNT0dfX58iRIyQkJCiPxMREZS6aPn36cOHCBXr06MHJkyepX78+X331FQAtW7bkjz/+4JNPPuHvv/+mefPmDBs27IVyen4IlkajUYYWXbp0idatW+Pp6cnatWs5cuQI//3vf4EnkyMXVnh4OKdOnaJVq1b88ssv1KxZUymWFDS3vPLNz8qVKxk2bBhhYWFs376dhIQEevXqle1eivpaGxoaEhISQmRkJI8fP2b58uX07t27QOfm9dqqMTk2ZL+v1NRUJkyYoPNePHnyJOfPn8fY2DjHGNOmTcPKykrn8dXCJarkJ4QQQgghhBBCXVIAysGzE+oCHDhwAFdXV/T19XM83t3dnbi4OJ1tcXFxuLm55XqOt7c3mZmZXLt2jWrVquk8nh1K5OjoSP/+/Vm3bh2ffvop3377rbKvXLly9OzZkx9++IE5c+awcOHCXPPbv3+/MpH10/wsLCyoXLly3o3x/x05coSsrCwiIiJo3Lgxbm5u/P333wU6Nzdubm588sknbN++nQ4dOuhMdFzc4uLi8PX1ZcCAAXh7e1OtWrV8eyHlpkyZMjn29OrTpw87d+5k3rx5ZGRk0KFDhwLHzO219fT0JCEhgZs3b+Z4Xm7vxZo1a+Z5vbp163L27Nls78Vq1arlOmfR6NGjuXPnjs7j434FK3IJIYQQQgghhPh3SQEoB8nJyQwdOpSzZ8+yYsUKvvrqKwYPHpzr8Z9++ikxMTFMmjSJc+fOsXTpUr7++us8e+S4ubnRvXt3QkJCWLduHRcvXuTQoUNMmzaNTZs2AU/m3Nm2bRsXL17k6NGj7Nq1C3d3dwDGjRvHhg0b+P333zl16hQbN25U9j1vwIABXL58mY8//pgzZ86wYcMGxo8fz9ChQ/OdkPipatWqkZ6ezldffcWFCxf4/vvvWbBgQYHOfd7Dhw8ZOHAgsbGx/PHHH8TFxREfH59r/sXB1dWVw4cPs23bNs6dO8fYsWOJj48vUixnZ2diYmK4cuUKt27dUra7u7vTuHFjRo4cSbdu3Qrceyev17Zbt244ODjQrl074uLiuHDhAmvXrmX//v0ADB8+nKioKObPn8/58+eZNWsW69aty7d32Lhx4/juu++YMGECp06dIjExkZUrVzJmzJhczzEyMsLS0lLnYVSE4XJCCCGEEEIIIYqfFIByEBISwsOHD2nYsCEfffQRgwcPVlZEykndunVZtWoVK1eupHbt2owbN46JEycSGhqa53UiIyMJCQnh008/pXr16rRr1474+HjeeOMN4MlS5R999BHu7u4EBQXh5uamTLhsaGjI6NGj8fT0pGnTpujr67Ny5cocr1OpUiU2b97MoUOH8PLyon///oSFheX55f55Xl5ezJo1i88//5zatWuzbNkypk2bVuDzn6Wvr8+NGzcICQnBzc2NLl260LJlS51JmYvbBx98QIcOHejatSuNGjXixo0bysTJhRUREcGOHTtwdHTE29tbZ19YWBiPHz8u8PAvyPu1NTQ0ZPv27djb2xMcHIyHhwfTp09Xepq1a9eOuXPnMnPmTGrVqsU333xDZGQk/v7+eV4zMDCQjRs3sn37dho0aEDjxo2ZPXs2Tk5OhWsMIYQQQgghhMiFVls6Hq8rjVb7Ot9+dv7+/tSpU4c5c+aUdCriFTBp0iRWr16tM4H3qyzlTILqMe+VyXnC6xdhnnFb1XhG6amqxgN4aGipeky1aVD/10e6npHqMe9qrVWNZ6L3UNV4AAakqxovk5yHH78I2/t/5n9QIRndv6FqPE26+hPRX6tYR/WYt7Tqfq5Z6d1RNR6AccZ91WNm6JXJ/6BC0NPmvNDGi7inb6N6zDKo+77UR/37Vvsz42yNIFXjAbid2a56zHJ3izb8PzdZBur3hNbLzFA9ZqqpnarxMvRejh7gztXcSjoFASz5paQzeKJ3s5LOoGRIDyAhikFqaiq//fYbX3/9NR9//HFJpyOEEEIIIYQQ4jUnBSBRLGrVqqWzpPizj2XLlpV0esVu4MCB1KtXD39//2zDv/r3759r2/Tv37+EMhZCCCGEEEKI4pWlLR2P15VBSSdQ2sTGxpZ0Cq+EzZs3k56e85CG8uXL/8vZ/PuioqKIiorKcd/EiRNznZTZ0rL0D/sRQgghhBBCCPHykQKQKBYyeXDu7O3tsbe3L+k0hBBCCCGEEOJfJTMQlywZAiaEEEIIIYQQQgjxipMeQEII1WToq78KRHGsNPXAwELVePcNrFSNB8WzipMWjarxMrXq52isUX+FLQvNXVXjZWnU/9uJfqa6q4BpNFmqxgO4ZFxT9ZhaY3Xfk3fTTFSNB2CemaZ6TAe9v1WNl04xrJ5noP4KjHqo+77UK4bVsEy16q/qaJWaomq8BybqvzaWt/9QNZ62GFbsOlfjbdVjOm4erWq8245eqsYDMM64pXrMNANTVeNlFcP/B9T+P4sQ4gkpAAkhhBBCCCGEEKLYZan/NypRCDIETAghhBBCCCGEEOIVJwUgIYQQQgghhBBCiFecFIDESyUqKgpra+uSTkMIIYQQQgghRCFptaXj8bqSApAodqGhobRr166k0xBCCCGEEEIIIV5bMgm0EIXw+PFjDA3VX+mqJL2K9ySEEEIIIYQofV7n3jelgfQAEqpZs2YNHh4emJiYULZsWQICAhg+fDhLly5lw4YNaDQaNBoNsbGxxMbGotFouH37tnJ+QkICGo2GS5cuKduioqJ44403MDU1pX379ty4cUPZd+nSJfT09Dh8+LBOHnPmzMHJyYmsfKaYz8zMJCwsjCpVqmBiYkL16tWZO3euzjFPey9NmTKFihUrUr16dQAuX75Mly5dsLa2xtbWlrZt2+rkHR8fT4sWLbCzs8PKygo/Pz+OHj1aoHbUarWEh4fzxhtvYGRkRMWKFRk0aJCyPy0tjZEjR+Lo6IiRkRHVqlVj8eLFyv7du3fTsGFDjIyMqFChAqNGjSIjI0PZ7+/vz8CBAxkyZAh2dnYEBgYC8Ntvv9GyZUvMzc0pX748PXr04J9//ilQzkIIIYQQQgghSjcpAAlVpKSk0K1bN3r37k1iYiKxsbF06NCB8ePH06VLF4KCgkhJSSElJQVfX98CxTx48CBhYWEMHDiQhIQE3nrrLSZPnqzsd3Z2JiAggMjISJ3zIiMjCQ0NRU8v77d3VlYWlStXZvXq1Zw+fZpx48bx2WefsWrVKp3jYmJiOHv2LDt27GDjxo2kp6cTGBiIhYUFe/fuJS4uDnNzc4KCgnj8+DEA9+7do2fPnvz6668cOHAAV1dXgoODuXfvXr73vXbtWmbPns0333zD+fPn+emnn/Dw8FD2h4SEsGLFCr788ksSExP55ptvMDc3B+Cvv/4iODiYBg0acPz4cebPn8/ixYt12g1g6dKlGBoaEhcXx4IFC7h9+zbNmjXD29ubw4cPs3XrVq5evUqXLl3yzVcIIYQQQgghROknQ8CEKlJSUsjIyKBDhw44OTkBKEULExMT0tLScHBwKFTMuXPnEhQUxIgRIwBwc3Nj3759bN26VTmmT58+9O/fn1mzZmFkZMTRo0c5efIkGzZsyDd+mTJlmDBhgvK8SpUq7N+/n1WrVukUPszMzFi0aJEyTOqHH34gKyuLRYsWodFogCdFJ2tra2JjY3n77bdp1qyZzrUWLlyItbU1u3fvpnXr1nnmlZycjIODAwEBAZQpU4Y33niDhg0bAnDu3DlWrVrFjh07CAgIAMDFxUU5d968eTg6OvL111+j0WioUaMGf//9NyNHjmTcuHFKUczV1ZUZM2Yo502ePBlvb2+mTp2qbFuyZAmOjo6cO3cONze3bHmmpaWRlpamu+3xY4xkOJkQQgghhBAiB1kyBKxESQ8goQovLy+aN2+Oh4cHnTt35ttvv+XWrVsvFDMxMZFGjRrpbPPx8dF53q5dO/T19Vm/fj3wZMjYW2+9hbOzc4Gu8d///pd69epRrlw5zM3NWbhwIcnJyTrHeHh46MyRc/z4cX7//XcsLCwwNzfH3NwcW1tbHj16RFJSEgBXr16lb9++uLq6YmVlhaWlJampqdli56Rz5848fPgQFxcX+vbty/r165UhXAkJCejr6+Pn55fjuYmJifj4+CiFKYAmTZqQmprKn3/+qWyrV6+eznnHjx9n165dyv2Ym5tTo0YNAOWenjdt2jSsrKx0Hv9d8G2+9yeEEEIIIYQQ4t8nPYCEKvT19dmxYwf79u1j+/btfPXVV/znP//h4MGDOR7/tCeK9plZwNLT0wt9XUNDQ0JCQoiMjKRDhw4sX7482zw+uVm5ciXDhg0jIiICHx8fLCws+OKLL7LlbGZmpvM8NTWVevXqsWzZsmwxy5UrB0DPnj25ceMGc+fOxcnJCSMjI3x8fJQhYnlxdHTk7Nmz7Ny5kx07djBgwAC++OILdu/ejYmJSYHuLT853VObNm34/PPPsx1boUKFHGOMHj2aoUOH6my7dvmCKvkJIYQQQgghhFCXFICEajQaDU2aNKFJkyaMGzcOJycn1q9fj6GhIZmZmTrHPi2UpKSkYGNjAzzp3fIsd3f3bMWYAwcOZLtunz59qF27NvPmzVOGoRVEXFwcvr6+DBgwQNmWW2+XZ9WtW5cff/wRe3t7LC0tc409b948goODgSeTRhdmQmUTExPatGlDmzZt+Oijj6hRowYnT57Ew8ODrKwsdu/erQwBe5a7uztr165Fq9UqvYDi4uKwsLCgcuXKed7T2rVrcXZ2xsCgYB8LRkZGGBkZ6Wy7I8O/hBBCCCGEELnQlpplwDT5H/IKkiFgQhUHDx5k6tSpHD58mOTkZNatW8f169dxd3fH2dmZEydOcPbsWf755x/S09OpVq0ajo6OhIeHc/78eTZt2kRERIROzEGDBrF161ZmzpzJ+fPn+frrr3Xm/3nK3d2dxo0bM3LkSLp161bgXjKurq4cPnyYbdu2ce7cOcaOHUt8fHy+53Xv3h07Ozvatm3L3r17uXjxIrGxsQwaNEgZZuXq6sr3339PYmIiBw8epHv37gXOKyoqisWLF/Pbb79x4cIFfvjhB0xMTHBycsLZ2ZmePXvSu3dvfvrpJ+XaTyeuHjBgAJcvX+bjjz/mzJkzbNiwgfHjxzN06NA8J8X+6KOPuHnzJt26dSM+Pp6kpCS2bdtGr169shXvhBBCCCGEEEK8fKQAJFRhaWnJnj17CA4Oxs3NjTFjxhAREUHLli3p27cv1atXp379+pQrV464uDjKlCnDihUrOHPmDJ6ennz++efZVqpq3Lgx3377LXPnzsXLy4vt27czZsyYHK8fFhbG48eP6d27d4Fz/uCDD+jQoQNdu3alUaNG3LhxQ6c3UG5MTU3Zs2cPb7zxBh06dMDd3Z2wsDAePXqk9AhavHgxt27dom7duvTo0YNBgwZhb29foLysra359ttvadKkCZ6enuzcuZOff/6ZsmXLAjB//nw6derEgAEDqFGjBn379uX+/fsAVKpUic2bN3Po0CG8vLzo378/YWFhubbbUxUrViQuLo7MzEzefvttPDw8GDJkCNbW1vmupiaEEEIIIYQQBaHVlo7H60qjLT19sIQoskmTJrF69WpOnDhR0qm81i6fP616zEd6ZvkfVEgaslSNpy2GWnom+qrH1Krc1TVTq36OxpqHqsfUR91ebFka9V/vMplp+R9UCFka9V+bm1llVY+p9nvybpo686Q9y9xQ3dcGwEHvb1XjpesZ5X9QIT1G/Zh6Kn/26qn8sw1QRpv/XH2FZZWaomq8Bya2qsYDsLz9h6rxUuw8VY0HcK7G26rHbL55tKrxbjt6qRoPwPjhiy2qkpMbVs6qxssqhv8PqP37AcCt6huqxxSF99Wm0lF++LiVDAET4qWTmprKb7/9xtdff83HH39c0ukIIYQQQgghhBClkhSAxEtt4MCB1KtXD39//2zDv/r376+zrPmzj/79+5dQxrBs2bJc86pVq1aJ5SWEEEIIIYQQxSkrq3Q8XleyCph4qUVFRREVFZXjvokTJzJs2LAc9+W2ete/4Z133qFRo0Y57itTpsy/nI0QQgghhBBCiNeBFIDEK8ve3r7AEy//mywsLLCwsCjpNIQQQgghhBBCvEZkCJgQQgghhBBCCCHEK056AAkhVJOpUf8jRU+j/iovWq26s/4XR44abekfnFzmJVk8QfUV1Yph8Qrru8mqxrtu46pqPABrzW3VY1Y8sl7VeH/Xa69qPIDPV9uoHnNYZ3VXNyyjVX+lMmMeqB6zTJa6eRbHKkFpBqaqx7xtXlHVeIaZj1SNB/C3nbqrV9nf/V3VeACOKq/YBRATPE3VeDXPbFI1HoB57CrVY170DVc1nrOZuisbAsXw0y2EACkACSGEEEIIIYQQ4l+gLR2rwL+2ZAiYEEIIIYQQQgghxAu6efMm3bt3x9LSEmtra8LCwkhNTc3zHH9/fzQajc7j+VWrk5OTadWqFaamptjb2zN8+HAyMjIKnZ8UgISq/P39GTJkSKmIExUVhbW1tfI8PDycOnXqvFBMgNjYWDQaDbdv337hWEIIIYQQQgghXg3du3fn1KlT7Nixg40bN7Jnzx769euX73l9+/YlJSVFecyYMUPZl5mZSatWrXj8+DH79u1j6dKlREVFMW7cuELnJ0PARKm0bt26F14SvWvXrgQHB6uU0f/4+vqSkpKClZUV8KTQNGTIECkICSGEEEIIIUQesl7hIWCJiYls3bqV+Ph46tevD8BXX31FcHAwM2fOpGLF3OeEMzU1xcHBIcd927dv5/Tp0+zcuZPy5ctTp04dJk2axMiRIwkPD8fQ0LDAOUoPIFEg6enp/+r1bG1tX3ipdBMTE9WXgU9PT8fQ0BAHBwc0mldjerrMzEyyskr/hMNCCCGEEEIIUVrt378fa2trpfgDEBAQgJ6eHgcPHszz3GXLlmFnZ0ft2rUZPXo0Dx78bzGG/fv34+HhQfny5ZVtgYGB3L17l1OnThUqRykAlTL37t2je/fumJmZUaFCBWbPnq0zHCotLY1hw4ZRqVIlzMzMaNSoEbGxscr5T4c9bdu2DXd3d8zNzQkKCiIlJUXnOosWLcLd3R1jY2Nq1KjBvHnzlH2XLl1Co9Hw448/4ufnh7GxMcuWLePGjRt069aNSpUqYWpqioeHBytWrCjyvc6bNw9XV1eMjY0pX748nTp1UvY9PwTM2dmZyZMnExISgrm5OU5OTkRHR3P9+nXatm2Lubk5np6eHD58OFtb5CY+Pp4WLVpgZ2eHlZUVfn5+HD16VOcYjUbD/PnzeeeddzAzM2PKlCk6Q8BiY2Pp1asXd+7cUcZrhoeHM3HiRGrXrp3tmnXq1GHs2LH5tk1sbCwNGzbEzMwMa2trmjRpwh9//KHs//nnn2nQoAHGxsbY2dnRvv3/Vr65desWISEh2NjYYGpqSsuWLTl//ny2domOjqZmzZoYGRmRnJyc73tLCCGEEEIIIV4FaWlp3L17V+eRlvZiq1VeuXIlWwcEAwMDbG1tuXLlSq7nvffee/zwww/s2rWL0aNH8/333/P+++/rxH22+AMoz/OKmxMpAJUyQ4cOJS4ujujoaHbs2MHevXt1ihIDBw5k//79rFy5khMnTtC5c2eCgoJ0vuA/ePCAmTNn8v3337Nnzx6Sk5MZNmyYsn/ZsmWMGzeOKVOmkJiYyNSpUxk7dixLly7VyWXUqFEMHjyYxMREAgMDefToEfXq1WPTpk389ttv9OvXjx49enDo0KFC3+fhw4cZNGgQEydO5OzZs2zdupWmTZvmec7s2bNp0qQJx44do1WrVvTo0YOQkBDef/99jh49StWqVQkJCUFbwKnl7927R8+ePfn11185cOAArq6uBAcHc+/ePZ3jwsPDad++PSdPnqR37946+3x9fZkzZw6WlpbKeM1hw4bRu3dvEhMTiY+PV449duwYJ06coFevXnnmlZGRQbt27fDz8+PEiRPs37+ffv36KT2ONm3aRPv27QkODubYsWPExMTQsGFD5fzQ0FAOHz5MdHQ0+/fvR6vVEhwcrNOL68GDB3z++ecsWrSIU6dOYW9vX6D3lhBCCCGEEEIUlVZbOh7Tpk3DyspK5zFt2rQccx41alS2SZqff5w5c6bIbdKvXz8CAwPx8PCge/fufPfdd6xfv56kpKQix8yNzAFUity7d4+lS5eyfPlymjdvDkBkZKQyVjA5OZnIyEiSk5OVbcOGDWPr1q1ERkYydepU4MkwpQULFlC1alXgSdFo4sSJynXGjx9PREQEHTp0AKBKlSqcPn2ab775hp49eyrHDRkyRDnmqWcLSR9//DHbtm1j1apVOgWIgkhOTsbMzIzWrVtjYWGBk5MT3t7eeZ4THBzMBx98AMC4ceOYP38+DRo0oHPnzgCMHDkSHx8frl69muv4yWc1a9ZM5/nChQuxtrZm9+7dtG7dWtn+3nvv6RRtLly4oPzb0NAQKysrNBqNzjXNzc0JDAwkMjKSBg0aAE9eSz8/P1xcXPLM6+7du9y5c4fWrVsrr6G7u7uyf8qUKbz77rtMmDBB2ebl5QXA+fPniY6OJi4uDl9fX+BJwc/R0ZGffvpJaav09HTmzZunnFfQ95YQQgghhBBCvOxGjx7N0KFDdbYZGRnleOynn35KaGhonvFcXFxwcHDg2rVrOtszMjK4efNmgb6fPtWoUSMAfv/9d6pWrYqDg0O2ThdXr14FKFRckAJQqXLhwgXS09N1iilWVlZUr14dgJMnT5KZmYmbm5vOeWlpaZQtW1Z5bmpqqhQOACpUqKC8Ee/fv09SUhJhYWH07dtXOSYjI0OZ1PipZ8cuwpO5YqZOncqqVav466+/ePz4MWlpaZiamhb6Xlu0aIGTkxMuLi4EBQURFBRE+/bt84zl6emp/PtplzcPD49s265du1agH4SrV68yZswYYmNjuXbtGpmZmTx48IDk5GSd455vh4Lq27cvvXv3ZtasWejp6bF8+XJmz56d73m2traEhoYSGBhIixYtCAgIoEuXLlSoUAGAhIQEndfuWYmJiRgYGCgfGgBly5alevXqJCYmKtsMDQ112rOg763n9z3fTTIt7TFGRgWfhEwIIYQQQgjx+tCWklmgjYyMci34PK9cuXKUK1cu3+N8fHy4ffs2R44coV69egD88ssvZGVl6Xw/y09CQgKA8v3Px8eHKVOmcO3aNWWI2Y4dO7C0tKRmzZoFjgtSAHqppKamoq+vz5EjR9DX19fZZ25urvz7+dWzNBqNMiwqNTUVgG+//Tbbm/D5mGZmZjrPv/jiC+bOncucOXPw8PDAzMyMIUOG8Pjx40Lfi4WFBUePHiU2Npbt27czbtw4wsPDiY+Pz3Xenmfv6+lwqJy2FXRC4549e3Ljxg3mzp2Lk5MTRkZG+Pj4ZLuf59uhoNq0aYORkRHr16/H0NCQ9PR0nXmO8hIZGcmgQYPYunUrP/74I2PGjGHHjh00btwYExOTIuXzLBMTE51JrAv63nrWtGnTdHohAQz+eCBDBn38wvkJIYQQQgghxMvE3d2doKAg+vbty4IFC0hPT2fgwIG8++67yiiLv/76i+bNm/Pdd9/RsGFDkpKSWL58OcHBwZQtW5YTJ07wySef0LRpU+UP9m+//TY1a9akR48ezJgxgytXrjBmzBg++uijAhexnpICUCni4uJCmTJliI+P54033gDgzp07nDt3jqZNm+Lt7U1mZibXrl3jzTffLNI1ypcvT8WKFblw4QLdu3cv1LlxcXG0bdtWmZAqKyuLc+fOFbrq+JSBgQEBAQEEBAQwfvx4rK2t+eWXX7INOysucXFxzJs3T1kq/vLly/zzzz+FjmNoaEhmZma27QYGBvTs2ZPIyEgMDQ159913C1W88fb2xtvbm9GjR+Pj48Py5ctp3Lgxnp6exMTE5DiXkLu7OxkZGRw8eFAZAnbjxg3Onj2b5+tUlPdWTt0mUy4n53K0EEIIIYQQQrzali1bxsCBA2nevDl6enp07NiRL7/8Utmfnp7O2bNnlVW+DA0N2blzJ3PmzOH+/fs4OjrSsWNHxowZo5yjr6/Pxo0b+fDDD/Hx8cHMzIyePXvqTPNSUFIAKkUsLCzo2bMnw4cPx9bWFnt7e8aPH4+enh4ajQY3Nze6d+9OSEgIEREReHt7c/36dWJiYvD09KRVq1YFus6ECRMYNGgQVlZWBAUFkZaWxuHDh7l161a2L/TPcnV1Zc2aNezbtw8bGxtmzZrF1atXi1QA2rhxIxcuXKBp06bY2NiwefNmsrKylOFu/wZXV1e+//576tevz927dxk+fHiRetc4OzuTmppKTEwMXl5emJqaKkPZ+vTpo8zfExcXV6B4Fy9eZOHChbzzzjtUrFiRs2fPcv78eUJCQoAnczg1b96cqlWr8u6775KRkcHmzZsZOXIkrq6utG3blr59+/LNN99gYWHBqFGjqFSpEm3bts31mkV5b+XUbfKmDP8SQgghhBBC5KKUjAArNra2tixfvjzX/c7OzjqLFjk6OrJ79+584zo5ObF58+YXzk9WAStlZs2ahY+PD61btyYgIIAmTZooy7XDk6FBISEhfPrpp1SvXp127drp9BgqiD59+rBo0SIiIyPx8PDAz8+PqKgoqlSpkud5Y8aMoW7dugQGBuLv74+DgwPt2rUr0n1aW1uzbt06mjVrhru7OwsWLGDFihXUqlWrSPGKYvHixdy6dYu6devSo0cPBg0alG3ZvoLw9fWlf//+dO3alXLlyjFjxgxln6urK76+vtSoUaPA4z5NTU05c+YMHTt2xM3NjX79+vHRRx8pE2D7+/uzevVqoqOjqVOnDs2aNdOZFCwyMpJ69erRunVrfHx80Gq1bN68OdvQwOep8d4SQgghhBBCCFE6abQFXTNblIj79+9TqVIlIiIiCAsLK+l0RCFptVpcXV0ZMGBAnr2rXhWXfj+nesxMPfU7Kmq1mvwPKgSNRv2PUbVzFKWb/W11f3au27iqGg9AUwz/Xah4ZL2q8f6u117VeACfr7ZRPeawzvdUjVdGm5b/QaVAmSx189Si/udkmkHhF7bIj35WhqrxDDMfqRoPINXAWtV49nd/VzUegPE/6g8zjwnOecnnoqp5ZpOq8QDK7ViseswDvuGqxnM2+1vVeMWlWtW8/9gt/h0z1hZsvtbiNqLj69kXRoaAlTLHjh3jzJkzNGzYkDt37ijj+vIaviNKp+vXr7Ny5UquXLmS43w9QgghhBBCCPE6ke4nJUsKQKXQzJkzOXv2LIaGhtSrV4+9e/diZ2dX0mkVyt69e2nZsmWu+5+uRvYqs7e3x87OjoULF2Jjo/sX5NxW1gLYsmVLkSf5FkIIIYQQQgghciIFoFLG29ubI0eOlHQaL6x+/fokJCSUdBolKq/RlXm1TaVKlYohGyGEEEIIIYQoWVmv+izQpZwUgESxMDExoVq1aiWdRqklbSOEEEIIIYQQ4t/0es58JIQQQgghhBBCCPEakR5AQgjVaDXq15SztPqqxzTLuKNqPP2sdFXjATw2MFE9pkHmY1Xjqb2yDUBaGfVX4Hmsb6xqPD2t+qtX3LJyVjVecbw2aq/gBHDdO1jVeCbp6q6uBTCmo/r3/Vij7nvS5LH6961XDO8htT8r08rkPp9eURXHCowZmjKqxssyUP/3ogHqvjZZBoaqxgO47eileky1V+06XaOVqvEAGhxfpnrMqkaXVY2XifrvSa30U3hlySTQJUt+soQQQgghhBBCCCFecVIAEkIIIYQQQgghhHjFyRAwIYQQQgghhBBCFDsZAlaypAfQK8Df358hQ4aUijhRUVFYW1srz8PDw6lTp84LxQSIjY1Fo9Fw+/btF471qnvw4AEdO3bE0tJSaTNnZ2fmzJmT53kajYaffvpJeX7mzBkaN26MsbGxKq+hEEIIIYQQQoiSIz2AhGLdunWUKfNiExV27dqV4GB1J/UE8PX1JSUlBSsrK+BJoWnIkCGvdUEotzZYunQpe/fuZd++fdjZ2WFlZUV8fDxmZmaFij9+/HjMzMw4e/Ys5ubqT7QphBBCCCGEeL1kSRegEiUFoFIsPT39hQsyhWFra/vCMUxMTDAxUXf1ovT0dAwNDXFwcFA1bknKzMxEo9Ggp6d+J7ykpCTc3d2pXbu2sq1cuXJFitOqVSucnJzUTE8IIYQQQgghRAmQIWDAvXv36N69O2ZmZlSoUIHZs2frDIdKS0tj2LBhVKpUCTMzMxo1akRsbKxy/tNhT9u2bcPd3R1zc3OCgoJISUnRuc6iRYtwd3fH2NiYGjVqMG/ePGXfpUuX0Gg0/Pjjj/j5+WFsbMyyZcu4ceMG3bp1o1KlSpiamuLh4cGKFSuKfK/z5s3D1dUVY2NjypcvT6dOnZR9zw8Bc3Z2ZvLkyYSEhGBubo6TkxPR0dFcv36dtm3bYm5ujqenJ4cPH87WFrmJj4+nRYsWSs8UPz8/jh49qnOMRqNh/vz5vPPOO5iZmTFlyhSdIWCxsbH06tWLO3fuoNFo0Gg0hIeHM3HiRJ2ix1N16tRh7Nix+bZNbGwsDRs2xMzMDGtra5o0acIff/yh7P/5559p0KABxsbG2NnZ0b59e2XfrVu3CAkJwcbGBlNTU1q2bMn58+eztUt0dDQ1a9bEyMiI5OTkfN9beeWaUxv4+/sTERHBnj170Gg0+Pv7A2QbAnb+/HmaNm2KsbExNWvWZMeOHdlegyNHjjBx4kQlthBCCCGEEEKIl5cUgIChQ4cSFxdHdHQ0O3bsYO/evTpFiYEDB7J//35WrlzJiRMn6Ny5M0FBQTpf8B88eMDMmTP5/vvv2bNnD8nJyQwbNkzZv2zZMsaNG8eUKVNITExk6tSpjB07lqVLl+rkMmrUKAYPHkxiYiKBgYE8evSIevXqsWnTJn777Tf69etHjx49OHToUKHv8/DhwwwaNIiJEydy9uxZtm7dStOmTfM8Z/bs2TRp0oRjx47RqlUrevToQUhICO+//z5Hjx6latWqhISEoC1gV7579+7Rs2dPfv31Vw4cOICrqyvBwcHcu3dP57jw8HDat2/PyZMn6d27t84+X19f5syZg6WlJSkpKaSkpDBs2DB69+5NYmIi8fHxyrHHjh3jxIkT9OrVK8+8MjIyaNeuHX5+fpw4cYL9+/fTr18/NBoNAJs2baJ9+/YEBwdz7NgxYmJiaNiwoXJ+aGgohw8fJjo6mv3796PVagkODiY9PV055sGDB3z++ecsWrSIU6dOYW9vX6D3Vk5ya4N169bRt29ffHx8SElJYd26ddnOzcrKokOHDhgaGnLw4EEWLFjAyJEjdY5JSUmhVq1afPrpp0psIYQQQgghhBAvr9d+CNi9e/dYunQpy5cvp3nz5gBERkZSsWJFAJKTk4mMjCQ5OVnZNmzYMLZu3UpkZCRTp04FngxTWrBgAVWrVgWeFI0mTpyoXGf8+PFERETQoUMHAKpUqcLp06f55ptv6Nmzp3LckCFDlGOeevbL98cff8y2bdtYtWqVTgGiIJKTkzEzM6N169ZYWFjg5OSEt7d3nucEBwfzwQcfADBu3Djmz59PgwYN6Ny5MwAjR47Ex8eHq1evFmiIVrNmzXSeL1y4EGtra3bv3k3r1q2V7e+9955O0ebChQvKvw0NDbGyskKj0ehc09zcnMDAQCIjI2nQoAHw5LX08/PDxcUlz7zu3r3LnTt3aN26tfIauru7K/unTJnCu+++y4QJE5RtXl5ewJPeNNHR0cTFxeHr6ws8Kfg5Ojry008/KW2Vnp7OvHnzlPMK+t7KSW5tAGBqaprnkLmdO3dy5swZtm3bplx36tSptGzZUjnGwcEBAwMDzM3NX6mhd0IIIYQQQgjxunrtC0AXLlwgPT1dp5hiZWVF9erVATh58iSZmZm4ubnpnJeWlkbZsmWV56ampkrhAKBChQpcu3YNgPv375OUlERYWBh9+/ZVjsnIyFAmNX6qfv36Os8zMzOZOnUqq1at4q+//uLx48ekpaVhampa6Htt0aIFTk5OuLi4EBQURFBQEO3bt88zlqenp/Lv8uXLA+Dh4ZFt27Vr1wpUKLh69SpjxowhNjaWa9eukZmZyYMHD0hOTtY57vl2KKi+ffvSu3dvZs2ahZ6eHsuXL2f27Nn5nmdra0toaCiBgYG0aNGCgIAAunTpQoUKFQBISEjQee2elZiYiIGBAY0aNVK2lS1blurVq5OYmKhsMzQ01GnPgr631JaYmIijo6NS/AHw8fEpdJy0tDTS0tKybTMyMnrhHIUQQgghhBBCqOu1LwDlJzU1FX19fY4cOYK+vr7OvmdXRnp+smaNRqMMi0pNTQXg22+/1SkSANliPr9S0xdffMHcuXOZM2cOHh4emJmZMWTIEB4/flzoe7GwsODo0aPExsayfft2xo0bR3h4OPHx8bnO2/PsfT0dDpXTtqysrALl0LNnT27cuMHcuXNxcnLCyMgIHx+fbPdT2BWrnmrTpg1GRkasX78eQ0ND0tPTdeY5yktkZCSDBg1i69at/Pjjj4wZM4YdO3bQuHFjVSa2NjExUdoLCv7eKq2mTZum0yMKYNDHHzNk8KASykgIIYQQQghRmmkL9rVRFJPXvgDk4uJCmTJliI+P54033gDgzp07nDt3jqZNm+Lt7U1mZibXrl3jzTffLNI1ypcvT8WKFblw4QLdu3cv1LlxcXG0bduW999/H3hSaDl37hw1a9YsUi4GBgYEBAQQEBDA+PHjsba25pdffsk27Ky4xMXFMW/ePGWp+MuXL/PPP/8UOo6hoSGZmZnZthsYGNCzZ08iIyMxNDTk3XffLVTxxtvbG29vb0aPHo2Pjw/Lly+ncePGeHp6EhMTk+NcQu7u7mRkZHDw4EFlCNiNGzc4e/Zsnq/Ti763cmuD/Li7u3P58mVSUlKUHk4HDhwodJzRo0czdOhQnW1//3m50HGEEEIIIYQQQhS/174AZGFhQc+ePRk+fDi2trbY29szfvx49PT00Gg0uLm50b17d0JCQoiIiMDb25vr168TExODp6cnrVq1KtB1JkyYwKBBg7CysiIoKIi0tDQOHz7MrVu3sn2Jfparqytr1qxh37592NjYMGvWLK5evVqkAtDGjRu5cOECTZs2xcbGhs2bN5OVlaUMd/s3uLq68v3331O/fn3u3r3L8OHDi9S7xtnZmdTUVGJiYvDy8sLU1FQZytanTx9l/p64uLgCxbt48SILFy7knXfeoWLFipw9e5bz588TEhICPJnDqXnz5lStWpV3332XjIwMNm/ezMiRI3F1daVt27b07duXb775BgsLC0aNGkWlSpVo27Ztrtd80fdWXm2Ql4CAANzc3OjZsydffPEFd+/e5T//+U+B2ulZRkZG2YZ73ZDhX0IIIYQQQohcFHTxIFE8ZBUwYNasWfj4+NC6dWsCAgJo0qSJslw7PBkaFBISwqeffkr16tVp166dTo+hgujTpw+LFi0iMjISDw8P/Pz8iIqKokqVKnmeN2bMGOrWrUtgYCD+/v44ODjQrl27It2ntbU169ato1mzZri7u7NgwQJWrFhBrVq1ihSvKBYvXsytW7eoW7cuPXr0YNCgQdjb2xc6jq+vL/3796dr166UK1eOGTNmKPtcXV3x9fWlRo0a2Ybc5cbU1JQzZ87QsWNH3Nzc6NevHx999JEyAba/vz+rV68mOjqaOnXq0KxZM52V2CIjI6lXrx6tW7fGx8cHrVbL5s2bsw0NfN6LvLfyaoO86OnpsX79eh4+fEjDhg3p06cPU6ZMKdC5QgghhBBCCCFeThqtlOCyuX//PpUqVSIiIoKwsLCSTkcUklarxdXVlQEDBuTZu0qo72LS76rHzCDvIlpRmGXcUTWefla6qvEAHhu8+LxTzzPILPzcYXnRz8pQNR5AWpnCT3Cfn8f6xqrG0yuGwet62sIP58yLFk3+BxVSmay0/A8qpCyNfv4HFYLa73GADH1D1WOq/Z40T7ulajwAvWL4+Vb7szKtjPrz5d0vY5X/QSVMj9I/gYb1gxTVYz4uU7T5IfPysIyFqvFO1yjYyIDCaHB8meox7xtZqxovE3U/ywG0xdBPwbWqk+oxReFN+EH9/zcXxfj31f+O8TJ47YeAARw7dowzZ87QsGFD7ty5oyzfntfwHVE6Xb9+nZUrV3LlypUc5+sRQgghhBBCCFEyCrh2kCgmUgD6/2bOnMnZs2cxNDSkXr167N27Fzs7u5JOq1D27t1Ly5Ytc93/dDWyV5m9vT12dnYsXLgQGxsbnX15ray1ZcuWIk/yXVxatmzJ3r17c9z32Wef8dlnn/3LGQkhhBBCCCGEeFlJAYgnqzEdOXKkpNN4YfXr1ychIaGk0yhReY1ozKttKlWqVAzZvJhFixbx8OHDHPfZ2tr+y9kIIYQQQgghxIuRGWhKlhSAXiEmJiZUq1atpNMotV62timNRSkhhBBCCCGEEC8nWQVMCCGEEEIIIYQQ4hUnPYCEEKWaphhWO9Fq1F0hqThWCSoOmXrqfuSn6xupGq+4qL1ql6YYVgErl3JC1XjXKnipGg/gob76Ky7Z3ftD1XjXLFxUjQdw4p/Kqsesbfe3qvHUXskIIEOj/uooVmnXVY1XHJ+9dzLVXwWsgvZPVeMVx2evYUbOQ86LSi9T/VXkjDPUX+3OPHaVqvGKY8WueK/uqse0/+2gqvGsDdRdXRWKZzVLUTpkyQiwEiU9gIQQQgghhBBCCCFecVIAEkIIIYQQQgghhHjFSQHoJeDv78+QIUNKRZyoqCisra2V5+Hh4dSpU+eFYgLExsai0Wi4ffv2C8cSQgghhBBCCFH6aLO0peLxupIC0Gtk3bp1TJo06YVidO3alXPnzqmU0f/4+vqSkpKCldWTsffPF5qEEEIIIYQQQghRdDIJdAlKT0+nTBn1J1nMja2t7QvHMDExwcTERIVs/ic9PR1DQ0McHBxUjVuSMjMz0Wg06On9ezXWx48fY2j4ckxGLIQQQgghhHj9aF/fzjelwmvRA+jevXt0794dMzMzKlSowOzZs3WGQ6WlpTFs2DAqVaqEmZkZjRo1IjY2Vjn/aW+Ubdu24e7ujrm5OUFBQaSkpOhcZ9GiRbi7u2NsbEyNGjWYN2+esu/SpUtoNBp+/PFH/Pz8MDY2ZtmyZdy4cYNu3bpRqVIlTE1N8fDwYMWKFUW+13nz5uHq6oqxsTHly5enU6dOyr7nh4A5OzszefJkQkJCMDc3x8nJiejoaK5fv07btm0xNzfH09OTw4cPZ2uL3MTHx9OiRQvs7OywsrLCz8+Po0eP6hyj0WiYP38+77zzDmZmZkyZMkVnCFhsbCy9evXizp07aDQaNBoN4eHhTJw4kdq1a2e7Zp06dRg7dmy+bRMbG0vDhg0xMzPD2tqaJk2a8Mcf/1uB5ueff6ZBgwYYGxtjZ2dH+/btlX23bt0iJCQEGxsbTE1NadmyJefPn8/WLtHR0dSsWRMjIyOSk5PzfW/lJy4uDn9/f0xNTbGxsSEwMJBbt56sguHv78/AgQMZMmQIdnZ2BAYGArB7924aNmyIkZERFSpUYNSoUWRk/G81jjVr1uDh4YGJiQlly5YlICCA+/fvF6iNhBBCCCGEEEK8nF6LAtDQoUOJi4sjOjqaHTt2sHfvXp2ixMCBA9m/fz8rV67kxIkTdO7cmaCgIJ0v+A8ePGDmzJl8//337Nmzh+TkZIYNG6bsX7ZsGePGjWPKlCkkJiYydepUxo4dy9KlS3VyGTVqFIMHDyYxMZHAwEAePXpEvXr12LRpE7/99hv9+vWjR48eHDp0qND3efjwYQYNGsTEiRM5e/YsW7dupWnTpnmeM3v2bJo0acKxY8do1aoVPXr0ICQkhPfff5+jR49StWpVQkJC0BawVHvv3j169uzJr7/+yoEDB3B1dSU4OJh79+7pHBceHk779u05efIkvXv31tnn6+vLnDlzsLS0JCUlhZSUFIYNG0bv3r1JTEwkPj5eOfbYsWOcOHGCXr165ZlXRkYG7dq1w8/PjxMnTrB//3769euH5v8vB75p0ybat29PcHAwx44dIyYmhoYNGyrnh4aGcvjwYaKjo9m/fz9arZbg4GDS09OVYx48eMDnn3/OokWLOHXqFPb29gV6b+UmISGB5s2bU7NmTfbv38+vv/5KmzZtyMzMVI5ZunQphoaGxMXFsWDBAv766y+Cg4Np0KABx48fZ/78+SxevJjJkycDkJKSQrdu3ZS2jI2NpUOHDmi12nzbSAghhBBCCCHEy+uVHwJ27949li5dyvLly2nevDkAkZGRVKxYEYDk5GQiIyNJTk5Wtg0bNoytW7cSGRnJ1KlTgSfDlBYsWEDVqlWBJ0WjiRMnKtcZP348ERERdOjQAYAqVapw+vRpvvnmG3r27KkcN2TIEOWYp54tJH388cds27aNVatW6RQgCiI5ORkzMzNat26NhYUFTk5OeHt753lOcHAwH3zwAQDjxo1j/vz5NGjQgM6dOwMwcuRIfHx8uHr1aoGGaDVr1kzn+cKFC7G2tmb37t20bt1a2f7ee+/pFG0uXLig/NvQ0BArKys0Go3ONc3NzQkMDCQyMpIGDRoAT15LPz8/XFxc8szr7t273Llzh9atWyuvobu7u7J/ypQpvPvuu0yYMEHZ5uXlBcD58+eJjo4mLi4OX19f4EnBz9HRkZ9++klpq/T0dObNm6ecV9D3Vm5mzJhB/fr1dXqS1apVS+cYV1dXZsyYoTz/z3/+g6OjI19//TUajYYaNWrw999/M3LkSMaNG0dKSgoZGRl06NABJycnADw8PAC4efNmnm0khBBCCCGEEC8i6zWegLk0eOV7AF24cIH09HSdYoqVlRXVq1cH4OTJk2RmZuLm5oa5ubny2L17N0lJSco5pqamypdigAoVKnDt2jUA7t+/T1JSEmFhYToxJk+erBMDoH79+jrPMzMzmTRpEh4eHtja2mJubs62bdtITk4u9L22aNECJycnXFxc6NGjB8uWLePBgwd5nuPp6an8u3z58sD/CgLPbnt6r/m5evUqffv2xdXVFSsrKywtLUlNTc12P8+3Q0H17duXFStW8OjRIx4/fszy5cuz9SDKia2tLaGhoQQGBtKmTRvmzp2rM4TvaW+bnCQmJmJgYECjRo2UbWXLlqV69eokJiYq2wwNDXXas6DvrdzkldNT9erVy5arj4+PTq+dJk2akJqayp9//omXlxfNmzfHw8ODzp078+233ypDyvJro+elpaVx9+5dnUdaWlq+9yWEEEIIIYQQ4t/3yheA8pOamoq+vj5HjhwhISFBeSQmJjJ37lzluOcna9ZoNMqwqNTUVAC+/fZbnRi//fYbBw4c0DnPzMxM5/kXX3zB3LlzGTlyJLt27SIhIYHAwEAeP35c6HuxsLDg6NGjrFixggoVKjBu3Di8vLzyXFr92ft6WjTIaVtWVlaBcujZsycJCQnMnTuXffv2kZCQQNmyZbPdz/PtUFBt2rTByMiI9evX8/PPP5Oenq4zz1FeIiMj2b9/P76+vvz444+4ubkpr48aE1ubmJjoFF4K+t7KK15+CtuO+vr67Nixgy1btlCzZk2++uorqlevzsWLF4G82+h506ZNw8rKSucxf8E3hcpHCCGEEEIIIcS/45UvALm4uFCmTBmdeWPu3LmjLGXu7e1NZmYm165do1q1ajqPgq5KVb58eSpWrMiFCxeyxahSpUqe58bFxdG2bVvef/99vLy8cHFxeaFl1g0MDAgICGDGjBmcOHGCS5cu8csvvxQ5XmHFxcUxaNAggoODqVWrFkZGRvzzzz+FjmNoaKgz181TBgYG9OzZk8jISCIjI3n33XcLVbzx9vZm9OjR7Nu3j9q1a7N8+XLgSU+omJiYHM9xd3cnIyODgwcPKttu3LjB2bNnqVmzZp7XepH3Vl455cbd3V2Zo+ipuLg4LCwsqFy5MvCkqNekSRMmTJjAsWPHMDQ0ZP369Tp559RGzxs9ejR37tzReXzY/4NC5SuEEEIIIYR4fWi12lLxeF298nMAWVhY0LNnT4YPH46trS329vaMHz8ePT09NBoNbm5udO/enZCQECIiIvD29ub69evExMTg6elJq1atCnSdCRMmMGjQIKysrAgKCiItLY3Dhw9z69Ythg4dmut5rq6urFmzhn379mFjY8OsWbO4evVqnoWF3GzcuJELFy7QtGlTbGxs2Lx5M1lZWcpwt3+Dq6sr33//PfXr1+fu3bsMHz68SL1rnJ2dSU1NJSYmBi8vL0xNTTE1NQWgT58+ytw0cXFxBYp38eJFFi5cyDvvvEPFihU5e/Ys58+fJyQkBHgyh1Pz5s2pWrUq7777LhkZGWzevJmRI0fi6upK27Zt6du3L9988w0WFhaMGjWKSpUq0bZt21yv+aLvrdGjR+Ph4cGAAQPo378/hoaG7Nq1i86dO2NnZ5fjOQMGDGDOnDl8/PHHDBw4kLNnzzJ+/HiGDh2Knp4eBw8eJCYmhrfffht7e3sOHjzI9evXcXd3z7eNnmdkZISRkZHOthvPPRdCCCGEEEIIUTq88j2AAGbNmoWPjw+tW7cmICCAJk2aKMu1w5NhLyEhIXz66adUr16ddu3aER8fzxtvvFHga/Tp04dFixYRGRmJh4cHfn5+REVF5dsDaMyYMdStW5fAwED8/f1xcHCgXbt2RbpPa2tr1q1bR7NmzXB3d2fBggWsWLEi28TBxWnx4sXcunWLunXr0qNHDwYNGoS9vX2h4/j6+tK/f3+6du1KuXLldCY6dnV1xdfXlxo1aujMy5MXU1NTzpw5Q8eOHXFzc6Nfv3589NFHygTY/v7+rF69mujoaOrUqUOzZs10VmKLjIykXr16tG7dGh8fH7RaLZs3b842NPB5L/LecnNzY/v27Rw/fpyGDRvi4+PDhg0bMDDIvW5bqVIlNm/ezKFDh/Dy8qJ///6EhYUxZswYACwtLdmzZw/BwcG4ubkxZswYIiIiaNmyZb5tJIQQQgghhBAvQptVOh6vK432Nez/dP/+fSpVqkRERARhYWElnY4oJK1Wi6urKwMGDMizd5X4911M+l31mJnoqx7TJDNV9Zhqy9Kof98alX/bFUeOxSFTL+9CbWGp3Y4A9inHVY13rYKXqvEAMjTqtiOA3b0/VI13zSLvFSGL4sQ/lVWPWdvub1XjGWvzXvChKIrj9bZKu65qvEdlzFWNB3BNW7Dh/4VRQfunqvHS9dXvbWuY8VDVeCaPbqsaDyiWb2wGB3eoGu9B046qxgOI9+quekz73w7mf1AhWBvcUTUegBZN/gcVklvVgv9xXxSfEQvU/bwpqhn9X3wO2JfRKz8EDODYsWOcOXOGhg0bcufOHWX59ryG74jS6fr166xcuZIrV67oLCMvhBBCCCGEEEKI3L0WBSCAmTNncvbsWQwNDalXrx579+7NdR6V0mrv3r20bNky1/1PVyN7ldnb22NnZ8fChQuxsbHR2WdunvtfArds2cKbb75Z3OkVSsuWLdm7d2+O+z777DM+++yzfzkjIYQQQgghhBCvqteiAOTt7c2RI0dKOo0XVr9+fRISEko6jRKV14jFvNqmUqVKxZDNi1m0aBEPH+bcBdLW1vZfzkYIIYQQQgghxKvstSgAvSpMTEyoVq1aSadRar1sbVMai1JCCCGEEEIIIV5NUgASQgghhBBCCCFEsct6/dagKlVei2XghRBCCCGEEEIIIV5n0gNICKGa4lgeW6Onfp36sb66yz4Wx31n6qn/8azVqrukqj6ZqsaD4ln2NR1DVeMZatJUjQdwoYK6k9Sbau6rGg9Ao1H/L3bJZjVVjWfBXVXjAbQo84vqMe9mVVQ1Xpqe+kvZFsfrrZeVoWo848f3VI0H4JKh7lL1APdNyqoa747WJv+DCsmijL6q8Yrjd1iaganqMS/6hqsar6rRZVXjgfpLtgNcq91I1Xhlz2xWNZ54teU1p6softIDSAghhBBCCCGEEOIVJwUgIYQQQgghhBBCiFecFIDEv8Lf358hQ4aUdBo5OnPmDI0bN8bY2Jg6deqUdDpFUprbVwghhBBCCCEAsrK0peLxupI5gMRrb/z48ZiZmXH27FnMzc1LOh0hhBBCCCGEEEJ10gNIvLQyMzPJynrxyXeTkpL4v//7P5ycnChbVt2JGtXw+PHjkk5BCCGEEEIIIcRLTgpArxl/f38GDRrEiBEjsLW1xcHBgfDwcAAuXbqERqMhISFBOf727dtoNBpiY2MBiI2NRaPRsG3bNry9vTExMaFZs2Zcu3aNLVu24O7ujqWlJe+99x4PHjzQuXZGRgYDBw7EysoKOzs7xo4dqzMLfFpaGsOGDaNSpUqYmZnRqFEj5boAUVFRWFtbEx0dTc2aNTEyMiI5OTnP+83KymLixIlUrlwZIyMj6tSpw9atW5X9Go2GI0eOMHHiRDQajdIWuXn8+DEDBw6kQoUKGBsb4+TkxLRp03Taq0+fPpQrVw5LS0uaNWvG8ePHlf1JSUm0bduW8uXLY25uToMGDdi5c6fONZydnZk0aRIhISFYWlrSr18/AOLi4vD398fU1BQbGxsCAwO5deuWzr3m9LoWNLfjx4/z1ltvYWFhgaWlJfXq1ePw4cN5tocQQgghhBBCFJRWWzoeryspAL2Gli5dipmZGQcPHmTGjBlMnDiRHTt2FCpGeHg4X3/9Nfv27ePy5ct06dKFOXPmsHz5cjZt2sT27dv56quvsl3XwMCAQ4cOMXfuXGbNmsWiRYuU/QMHDmT//v2sXLmSEydO0LlzZ4KCgjh//rxyzIMHD/j8889ZtGgRp06dwt7ePs88586dS0REBDNnzuTEiRMEBgbyzjvvKDFTUlKoVasWn376KSkpKQwbNizPeF9++SXR0dGsWrWKs2fPsmzZMpydnZX9nTt3VophR44coW7dujRv3pybN28CkJqaSnBwMDExMRw7doygoCDatGmTrZA1c+ZMvLy8OHbsGGPHjiUhIYHmzZtTs2ZN9u/fz6+//kqbNm3IzPzfMtz5va755da9e3cqV65MfHw8R44cYdSoUZQpUybP9hBCCCGEEEII8XLQaLWvc/3r9ePv709mZiZ79+5VtjVs2JBmzZrRv39/qlSpwrFjx5TJkG/fvo2NjQ27du3C39+f2NhY3nrrLXbu3Enz5s0BmD59OqNHjyYpKQkXFxcA+vfvz6VLl5TeNv7+/ly7do1Tp06h0WgAGDVqFNHR0Zw+fZrk5GRcXFxITk6mYsWKSm4BAQE0bNiQqVOnEhUVRa9evUhISMDLy6tA91upUiU++ugjPvvsM537bdCgAf/9738BqFOnDu3atcu39w/AoEGDOHXqFDt37lTu46lff/2VVq1ace3aNYyMjJTt1apVY8SIEUpPnufVrl2b/v37M3DgQOBJDyBvb2/Wr1+vHPPee++RnJzMr7/+mmOMvF7X6dOnFyg3S0tLvvrqK3r27JlvO+Tm0u/ninxubjL11J+qTE/74kMHn6VROR4Uz31rtZr8DyoEfTLzP6iQtKibI0A6hqrGMyRN1XgA97Xqzj9mqrmvajwArUb91+Z+prr3baF3V9V4ALZ3Lqke865FxfwPKoQ0PRNV4wFoNOr/99D6wRVV42Vp9FWNB2CQ8Uj1mPdN1B1eflOT9x+/ikLtn50ymeq3Y5qBqeoxL6ZWUjVeVbPLqsYD+CfDTvWY12o3UjWe+5nNqsYrLi5Vq5Z0CgIYPPdeSacAwNzBFiWdQomQSaBfQ56enjrPK1SowLVr14oco3z58piamirFn6fbDh06pHNO48aNdYomPj4+REREkJmZycmTJ8nMzMTNzU3nnLS0NJ15eQwNDbPln5u7d+/y999/06RJE53tTZo00Rn6VBihoaG0aNGC6tWrExQUROvWrXn77beBJ0OoUlNTs80j9PDhQ5KSkoAnPYDCw8PZtGkTKSkpZGRk8PDhw2w9gOrXr6/zPCEhgc6dO+eZW16va0FyGzp0KH369OH7778nICCAzp07UzWPX5RpaWmkpaU9t+0xRkbqftkWQgghhBBCCPHipAD0Gnp+WI9GoyErKws9vScjAp/tFJaenp5vDI1Gk2vMgkpNTUVfX58jR46gr6/7F71nV+YyMTHJ1vPm31S3bl0uXrzIli1b2LlzJ126dCEgIIA1a9aQmppKhQoVdOYtesra2hqAYcOGsWPHDmbOnEm1atUwMTGhU6dO2SZ6NjMz03luYpL/X3fzeg0Kklt4eDjvvfcemzZtYsuWLYwfP56VK1fSvn37HK83bdo0JkyYoLNt8McDGTLo43xzFUIIIYQQQgjx75ICkFCUK1cOeDIvjre3N4DOhNAv6uDBgzrPDxw4gKurK/r6+nh7e5OZmcm1a9d48803VbmepaUlFStWJC4uDj8/P2V7XFwcDRs2fKG4Xbt2pWvXrnTq1ImgoCBu3rxJ3bp1uXLlCgYGBjrzAj0rLi6O0NBQpaiSmprKpUuX8r2mp6cnMTEx2QouBVWQ3ADc3Nxwc3Pjk08+oVu3bkRGRuZaABo9ejRDhw7V2ZZyOe9JuYUQQgghhBCvryyZgaZESQFIKExMTGjcuDHTp0+nSpUqXLt2jTFjxqgWPzk5maFDh/LBBx9w9OhRvvrqKyIiIoAnhYfu3bsTEhJCREQE3t7eXL9+nZiYGDw9PWnVqlWRrjl8+HDGjx9P1apVqVOnDpGRkSQkJLBs2bIixZs1axYVKlTA29sbPT09Vq9ejYODA9bW1gQEBODj40O7du2YMWMGbm5u/P3332zatIn27dtTv359XF1dWbduHW3atEGj0TB27NgC9ZQaPXo0Hh4eDBgwgP79+2NoaMiuXbvo3Lkzdnb5jw3PL7datWoxfPhwOnXqRJUqVfjzzz+Jj4+nY8eOucY0MjLSmU8I4KYM/xJCCCGEEEKIUkkKQELHkiVLCAsLo169elSvXp0ZM2Yoc9y8qJCQEB4+fEjDhg3R19dn8ODBOhMjR0ZGMnnyZD799FP++usv7OzsaNy4Ma1bty7yNQcNGsSdO3f49NNPuXbtGjVr1iQ6OhpXV9cixbOwsGDGjBmcP38efX19GjRowObNm5Xhc5s3b+Y///kPvXr14vr16zg4ONC0aVPKly8PPCkg9e7dG19fX+zs7Bg5ciR37+Y/8aKbmxvbt2/ns88+o2HDhpiYmNCoUSO6detWoLw1Gk2euenr63Pjxg1CQkK4evUqdnZ2dOjQocg9joQQQgghhBBClC6yCpgQQjWyCph6ZBUw9cgqYOqQVcDUI6uAqUNWAVOPrAKmDlkFrHSTVcBKh4Gz7pR0CgB8PdSqpFMoEXolnYAQQgghhBBCCCGEKF5SABIvNXNz81wfe/fuLXS8qVOn5hqvZcuWxXAHQgghhBBCCPF60GZpS8XjdSVzAImXWl6rlFWqVPhuvf3796dLly457ivIUuxCCCGEEEIIIURpJAUg8VKrVq2aqvFsbW2xtbVVNaYQQgghhBBCCFHSpAAkhBBCCCGEEEKIYvcaj74qFaQAJIRQjb42Q/WY6Voj1WOqvdBUcUympimGBRrVXmErS6P+nZukp6oe0yLjH1Xj3TNWf0UWtf3nmzKqx5wbek31mBbcVDWeXla6qvEAblm+oXpMDer+fGuL4VMoU6t+zIeGlqrGe6Rvpmo8ANOMe6rHVDtPQx6rGg/gMer+rtXoqb86ZpZW/VXfnM3+VjVeJurnaG2g/opJZVVetSuxRrCq8YqLS/rZkk5BiBInk0ALIYQQQgghhBBCvOKkB5AQQgghhBBCCCGK3eu8AldpID2AhBBCCCGEEEIIIV5xr0wBSKPR8NNPP5V0Gi+l/Nru0qVLaDSaPJdcf9X4+/szZMiQXPeHhobSrl07Va8ZHh5OnTp1ivUaQgghhBBCCCFeT6W6ABQaGopGo0Gj0VCmTBnKly9PixYtWLJkCVlZupPLpaSk0LJlywLFfZmKReHh4Uob6Ovr4+joSL9+/bh5U72JMwvTdq+SwMBA9PX1iY+PL+lUcjR37lyioqKKdG5eRbucilunTp2iS5culCtXDiMjI9zc3Bg3bhwPHjwo0vWFEEIIIYQQQpQupboABBAUFERKSgqXLl1iy5YtvPXWWwwePJjWrVuTkfG/FYccHBwwMiqG1YJKgVq1apGSkkJycjKRkZFs3bqVDz/8ULX4r3Lb5SY5OZl9+/YxcOBAlixZUtLp5MjKygpra+tiv86BAwdo1KgRjx8/ZtOmTZw7d44pU6YQFRVFixYtePxY/dVGhBBCCCGEEEL8u0p9AcjIyAgHBwcqVapE3bp1+eyzz9iwYQNbtmzR6R3xbK+ex48fM3DgQCpUqICxsTFOTk5MmzYNAGdnZwDat2+PRqNRniclJdG2bVvKly+Pubk5DRo0YOfOnTq5ODs7M3XqVHr37o2FhQVvvPEGCxcu1Dnmzz//pFu3btja2mJmZkb9+vU5ePCgsn/Dhg3UrVsXY2NjXFxcmDBhgk4hKycGBgZKGwQEBNC5c2d27Nihc8yiRYtwd3fH2NiYGjVqMG/ePGVfXu3xfNsBHDp0CG9vb4yNjalfvz7Hjh3LltNvv/1Gy5YtMTc3p3z58vTo0YN//vnfUsv+/v4MGjSIESNGYGtri4ODA+Hh4Toxbt++zQcffED58uUxNjamdu3abNy4Udn/66+/8uabb2JiYoKjoyODBg3i/v37ebZVQUVGRtK6dWs+/PBDVqxYwcOHD/M8ftOmTVhZWbFs2bIc98fHx1OuXDk+//xz4EmBqW3btpibm2NpaUmXLl24evWqzjnTp0+nfPnyWFhYEBYWxqNHj3T2Pz8EbM2aNXh4eGBiYkLZsmUJCAh44fbQarWEhYXh7u7OunXraNiwIU5OTnTu3Jmff/6Z/fv3M3v27Be6hhBCCCGEEELAk+8fpeHxuir1BaCcNGvWDC8vL9atW5fj/i+//JLo6GhWrVrF2bNnWbZsmVLoeTrcJzIykpSUFOV5amoqwcHBxMTEcOzYMYKCgmjTpg3Jyck6sSMiIpSiyIABA/jwww85e/asEsPPz4+//vqL6Ohojh8/zogRI5Thanv37iUkJITBgwdz+vRpvvnmG6KiopgyZUqB7/3SpUts27YNQ0NDZduyZcsYN24cU6ZMITExkalTpzJ27FiWLl2ab3s8LzU1ldatW1OzZk2OHDlCeHg4w4YN0znm9u3bNGvWDG9vbw4fPszWrVu5evUqXbp00Tlu6dKlmJmZcfDgQWbMmMHEiROVwlVWVhYtW7YkLi6OH374gdOnTzN9+nT09fWBJwW5oKAgOnbsyIkTJ/jxxx/59ddfGThwYIHbKjdarZbIyEjef/99atSoQbVq1VizZk2uxy9fvpxu3bqxbNkyunfvnm3/L7/8QosWLZgyZQojR44kKyuLtm3bcvPmTXbv3s2OHTu4cOECXbt2Vc5ZtWoV4eHhTJ06lcOHD1OhQgWdot3zUlJS6NatG7179yYxMZHY2Fg6dOjwwh9eCQkJnD59mqFDh6Knp/tx4OXlRUBAACtWrHihawghhBBCCCGEKHkv7TLwNWrU4MSJEznuS05OxtXVlf/7v/9Do9Hg5OSk7CtXrhwA1tbWODg4KNu9vLzw8vJSnk+aNIn169cTHR2tU3QIDg5mwIABAIwcOZLZs2eza9cuqlevzvLly7l+/Trx8fHY2toCUK1aNeXcCRMmMGrUKHr27AmAi4sLkyZNYsSIEYwfPz7Xez158iTm5uZkZmYqvURmzZql7B8/fjwRERF06NABgCpVqigFpp49e+bZHs9bvnw5WVlZLF68GGNjY2rVqsWff/6pM+Ts66+/xtvbm6lTpyrblixZgqOjI+fOncPNzQ0AT09P5b5cXV35+uuviYmJoUWLFuzcuZNDhw6RmJioHO/i4qLEmzZtGt27d1fmqnF1deXLL7/Ez8+P+fPnY2xsnOs95Gfnzp08ePCAwMBAAN5//30WL15Mjx49sh373//+l//85z/8/PPP+Pn5Zdu/fv16QkJCWLRokVLgiYmJ4eTJk1y8eBFHR0cAvvvuO2rVqkV8fDwNGjRgzpw5hIWFERYWBsDkyZPZuXNntl5AT6WkpJCRkUGHDh2U18/DwyPfe/X19c1W2Hn48KEy2fS5c+cAcHd3z/F8d3d3fv3113yvI4QQQgghhBCidHtpC0BarRaNRpPjvtDQUFq0aEH16tUJCgqidevWvP3223nGS01NJTw8nE2bNilfth8+fJitB5Cnp6fyb41Gg4ODA9euXQOe9Kbw9vZWij/PO378OHFxcTo9fp4WdR48eICpqWmO51WvXp3o6GgePXrEDz/8QEJCAh9//DEA9+/fJykpibCwMPr27auck5GRgZWVVaHbIzExEU9PT50Ci4+PT7b72LVrF+bm5tnOT0pK0ikAPatChQo6bVW5cmXl2Jza6sSJEzpDrrRaLVlZWVy8eDFbwSI5OZmaNWsqzz/77DM+++yzHGMvWbKErl27YmDw5O3frVs3hg8fTlJSElWrVlWOW7NmDdeuXSMuLo4GDRpki3Pw4EE2btzImjVrdIZqJSYm4ujoqBR/AGrWrIm1tTWJiYk0aNCAxMRE+vfvrxPPx8eHXbt25Zizl5cXzZs3x8PDg8DAQN5++206deqEjY1Njsc/9eOPP2Zrq5x6MeXVk+jZ3mbPSktLIy0tTXfb48cY5XK8EEIIIYQQ4vWWlfX6Dr8qDV7aAlBiYiJVqlTJcV/dunW5ePEiW7ZsYefOnXTp0oWAgIA8h/kMGzaMHTt2MHPmTKpVq4aJiQmdOnXKNgFumTJldJ5rNBpliJeJiUmeOaempjJhwgSlp86z8urRYmhoqPQkmj59Oq1atWLChAlMmjSJ1NRUAL799lsaNWqkc97T4VRFaY/87qNNmzbKfDfPqlChgvLvF22rDz74gEGDBmXb98Ybb2TbVrFiRZ0Vr3Irwt28eZP169eTnp7O/Pnzle2ZmZksWbJEpzjn7e3N0aNHWbJkCfXr189WcKxatSply5ZlyZIltGrVKtv9qklfX58dO3awb98+tm/fzldffcV//vMfDh48mOvPAYCjo6NOLzTQbXtXV1fgyc+Tt7d3tvOf7aH1vGnTpjFhwgSdbUMGDmDooI8KfF9CCCGEEEIIIf4dL+UcQL/88gsnT56kY8eOuR5jaWlJ165d+fbbb/nxxx9Zu3atsnR6mTJlyMzM1Dk+Li6O0NBQ2rdvj4eHBw4ODly6dKlQeXl6epKQkJDrEu1169bl7NmzVKtWLdvj+WE6eRkzZgwzZ87k77//pnz58lSsWJELFy5ki/lsYSCv9niWu7s7J06c0BmKdODAgWz3cerUKZydnbNd08zMrED34OnpyZ9//qkMQXpe3bp1OX36dI5tlVOPFAMDA51jcisALVu2jMqVK3P8+HESEhKUR0REBFFRUTrvi6pVq7Jr1y42bNig9Lh6lp2dHb/88gu///47Xbp0IT09HXjShpcvX+by5cvKsadPn+b27dtKLyV3d3edycEhezs/T6PR0KRJEyZMmMCxY8cwNDRk/fr1eZ6TH29vb2rUqMHs2bOV4txTx48fZ+fOnYSGhuZ47ujRo7lz547O46P+fXM8VgghhBBCCCFKevJnmQS6lEtLS+PKlSv89ddfHD16lKlTp9K2bVtat25NSEhIjufMmjWLFStWcObMGc6dO8fq1atxcHBQltR2dnYmJiaGK1eucOvWLeBJT4h169aRkJDA8ePHee+997J9Ic5Pt27dcHBwoF27dsTFxXHhwgXWrl3L/v37ARg3bhzfffcdEyZM4NSpUyQmJrJy5UrGjBlTqOv4+Pjg6empzMEzYcIEpk2bxpdffsm5c+c4efIkkZGRyjxB+bXHs9577z00Gg19+/bl9OnTbN68mZkzZ+oc89FHH3Hz5k26detGfHw8SUlJbNu2jV69emUrrOXGz8+Ppk2b0rFjR3bs2KH0UNq6dSvwZH6lp8u0JyQkcP78eTZs2PDCk0AvXryYTp06Ubt2bZ1HWFgY//zzj3L9p9zc3Ni1axdr165V5iN6lr29Pb/88gtnzpyhW7duZGRkEBAQgIeHB927d+fo0aMcOnSIkJAQ/Pz8qF+/PgCDBw9myZIlREZGcu7cOcaPH8+pU6dyzfvgwYPKhNHJycmsW7eO69ev5zp3T0FpNBoWLVrE6dOn6dixI4cOHSI5OZnVq1fTpk0bAgMD+eCDD3I818jICEtLS52HDP8SQgghhBBCiNKp1BeAtm7dSoUKFXB2diYoKIhdu3bx5ZdfsmHDBmWI0/MsLCyYMWMG9evXp0GDBly6dInNmzcrvWwiIiLYsWMHjo6OyrCXWbNmYWNjg6+vr/LFt27duoXK1dDQkO3bt2Nvb09wcDAeHh46K1sFBgayceNGtm/fToMGDWjcuDGzZ8/Oc1Lm3HzyyScsWrSIy5cv06dPHxYtWkRkZCQeHh74+fkRFRWl9ADKrz2eZW5uzs8//8zJkyfx9vbmP//5T7ahXhUrViQuLo7MzEzefvttPDw8GDJkCNbW1oXqybR27VoaNGhAt27dqFmzJiNGjFAKSJ6enuzevZtz587x5ptv4u3tzbhx46hYsWKh2+qpI0eOcPz48Rx7jllZWdG8eXMWL16cbV/16tX55ZdfWLFiBZ9++mm2/Q4ODkqvtO7du5OVlcWGDRuwsbGhadOmBAQE4OLiwo8//qic07VrV8aOHcuIESOoV68ef/zxh85E28+ztLRkz549BAcH4+bmxpgxY4iIiKBly5ZFbI3/adKkCQcOHEBfX5+WLVvi5OREly5daNu2LT///HOuP2dCCCGEEEIIIf7n5s2bdO/eHUtLS6ytrQkLC1OmbcnJpUuX0Gg0OT5Wr16tHJfT/pUrVxY6P432de7/JITIJisri7CwMLZt28bu3buVeYIK4vL506rn80ivYMMKC0NPU7CeagWOpy1cb8GC0JLzJPcvIkvlmr9Go/6vD5P03H9BFlWZjIeqxrtnbKdqPIAHWnXf51MWPs7/oEKaG3pN9Zhq08tKVz1mqnFZ1WNqUPdn57Gm6Ctj5kbtzwsAs8w7qsZ7pK/+7wfTjHuqx3xgYKFqvAzUn3NQ7fekkVbdz12AdI2R6jE1qP/7W23aYvhZ1CdD1XiJNYJVjVdcWqWfLekUBBA26XpJpwDA4rHliiVuy5YtSUlJ4ZtvviE9PZ1evXrRoEEDli9fnuPxmZmZXL+u2yYLFy7kiy++ICUlRVl4SaPREBkZSVBQkHKctbV1oVfHfmkngRZCFA89PT0WL17MV199xd69ewtVABJCCCGEEEKI11FiYiJbt24lPj5emfrjq6++Ijg4mJkzZ+Y4mkVfXx8HBwedbevXr6dLly7ZVt22trbOdmxhlfohYEKIf5+enh6DBw+md+/eJZ2KEEIIIYQQQpR6+/fvx9raWin+AAQEBKCnp5dtAaDcHDlyhISEBMLCwrLt++ijj7Czs6Nhw4YsWbKkSJNZSw8gIYQQQgghhBBCFDttVumYgSYtLY20tDSdbUZGRhgZFX246ZUrV7C3t9fZZmBggK2tLVeuXClQjMWLF+Pu7o6vr6/O9okTJ9KsWTNMTU3Zvn07AwYMIDU1lUGDBhUqR+kBJIQQQgghhBBCiNfGtGnTsLKy0nlMmzYtx2NHjRqV60TNTx9nzpx54ZwePnzI8uXLc+z9M3bsWJo0aYK3tzcjR45kxIgRfPHFF4W+hvQAEkIIIYQQQgghRLHLKiVrUI0ePZqhQ4fqbMut98+nn35KaGhonvFcXFxwcHDg2jXdRTMyMjK4efNmgebuWbNmDQ8ePCAkJCTfYxs1asSkSZNIS0srVK8lKQAJIVSjKYbVsIqDRuVfPMVy3xrpoKkWtV8ffa26q6e8LF6G1XJeFkYZD1SNl2Go/qpQKi8KBai/0lRxrESoXwwryalN7XaE4ll5Um3FkaPaEYtjxa6X4bUR4mVUmOFe5cqVo1y5/FcN8/Hx4fbt2xw5coR69eoB8Msvv5CVlUWjRo3yPX/x4sW88847BbpWQkICNjY2hR6yJgUgIYQQQgghhBBCiBfg7u5OUFAQffv2ZcGCBaSnpzNw4EDeffddZQWwv/76i+bNm/Pdd9/RsGFD5dzff/+dPXv2sHnz5mxxf/75Z65evUrjxo0xNjZmx44dTJ06lWHDhhU6RykACSGEEEIIIYQQotiVlkmgi8uyZcsYOHAgzZs3R09Pj44dO/Lll18q+9PT0zl79iwPHuj2Bl6yZAmVK1fm7bffzhazTJky/Pe//+WTTz5Bq9VSrVo1Zs2aRd++fQudX7GNMdBoNPz000/FFf6Vll/bXbp0CY1GQ0JCwr+Wk1CPs7Mzc+bMKek0hBBCCCGEEEKoyNbWluXLl3Pv3j3u3LnDkiVLMDc3V/Y7Ozuj1Wrx9/fXOW/q1KkkJyejp5e9RBMUFMSxY8e4d+8eqampJCQk8MEHH+R4bH4KdUZoaKgyy3WZMmUoX748LVq0YMmSJWRl6c4NkJKSQsuWLQsU92UqFoWHhyttoK+vj6OjI/369ePmzZuqXaMwbfcqCQwMRF9fn/j4+JJORRVRUVFYW1tn2x4fH0+/fv2K9dqxsbFoNBpu376dbV9OBah9+/YRHByMjY0NxsbGeHh4MGvWLDIzM4s1TyGEEEIIIYQQ/45Cl4yCgoJISUnh0qVLbNmyhbfeeovBgwfTunVrMjL+NzGmg4NDoSckelnUqlWLlJQUkpOTiYyMZOvWrXz44YeqxX+V2y43ycnJ7Nu3j4EDB7JkyZKSTqdYlStXDlNT05JOQ7F+/Xr8/PyoXLkyu3bt4syZMwwePJjJkyfz7rvvoi0lM/ULIYQQQgghXm5arbZUPF5XhS4AGRkZ4eDgQKVKlahbty6fffYZGzZsYMuWLURFRSnHPdur5/HjxwwcOJAKFSpgbGyMk5MT06ZNA570RgBo3749Go1GeZ6UlETbtm0pX7485ubmNGjQgJ07d+rk4uzszNSpU+nduzcWFha88cYbLFy4UOeYP//8k27dumFra4uZmRn169fn4MGDyv4NGzZQt25djI2NcXFxYcKECTqFrJwYGBgobRAQEEDnzp3ZsWOHzjGLFi3C3d0dY2NjatSowbx585R9ebXH820HcOjQIby9vTE2NqZ+/focO3YsW06//fYbLVu2xNzcnPLly9OjRw/++ecfZb+/vz+DBg1ixIgR2Nra4uDgQHh4uE6M27dv88EHH1C+fHmMjY2pXbs2GzduVPb/+uuvvPnmm5iYmODo6MigQYO4f/9+nm1VUJGRkbRu3ZoPP/yQFStW8PDhQ539a9aswcPDAxMTE8qWLUtAQIBy7djYWBo2bIiZmRnW1tY0adKEP/74A3jSa61du3Y6sYYMGaLT5c7f35+PP/6YIUOGYGNjQ/ny5fn222+5f/8+vXr1wsLCgmrVqrFlyxblnKc9bDZt2oSnpyfGxsY0btyY3377Tdnfq1cv7ty5o/QYe9rez/fASU5Opm3btpibm2NpaUmXLl24evWqsj88PJw6derw/fff4+zsjJWVFe+++y737t170Wbn/v379O3bl3feeYeFCxdSp04dnJ2d6dOnD0uXLmXNmjWsWrXqha8jhBBCCCGEEKJkqTIHULNmzfDy8mLdunU57v/yyy+Jjo5m1apVnD17lmXLlimFnqfDfSIjI0lJSVGep6amEhwcTExMDMeOHSMoKIg2bdqQnJysEzsiIkIpigwYMIAPP/yQs2fPKjH8/Pz466+/iI6O5vjx44wYMUIZrrZ3715CQkIYPHgwp0+f5ptvviEqKoopU6YU+N4vXbrEtm3bMDQ0VLYtW7aMcePGMWXKFBITE5k6dSpjx45l6dKl+bbH81JTU2ndujU1a9bkyJEjhIeHZ5vt+/bt2zRr1gxvb28OHz7M1q1buXr1Kl26dNE5bunSpZiZmXHw4EFmzJjBxIkTlcJVVlYWLVu2JC4ujh9++IHTp08zffp09PX1gScFuaCgIDp27MiJEyf48ccf+fXXXxk4cGCB2yo3Wq2WyMhI3n//fWrUqEG1atVYs2aNsj8lJYVu3brRu3dvEhMTiY2NpUOHDmi1WjIyMmjXrh1+fn6cOHGC/fv3069fPzSawi2ZuXTpUuzs7Dh06BAff/wxH374IZ07d8bX15ejR4/y9ttv06NHj2yTdQ0fPpyIiAji4+MpV64cbdq0IT09HV9fX+bMmYOlpSUpKSmkpKTkOEt7VlYWbdu25ebNm+zevZsdO3Zw4cIFunbtqnNcUlISP/30Exs3bmTjxo3s3r2b6dOnF+oec7J9+3Zu3LiRY25t2rTBzc2NFStWvPB1hBBCCCGEECIrS1sqHq8r1VYBq1GjBidOnMhxX3JyMq6urvzf//0fGo0GJycnZd/TNe6tra1xcHBQtnt5eeHl5aU8nzRpEuvXryc6Olqn6BAcHMyAAQMAGDlyJLNnz2bXrl1Ur16d5cuXc/36deLj47G1tQWgWrVqyrkTJkxg1KhR9OzZEwAXFxcmTZrEiBEjGD9+fK73evLkSczNzcnMzOTRo0cAzJo1S9k/fvx4IiIi6NChAwBVqlRRCkw9e/bMsz2et3z5crKysli8eDHGxsbUqlWLP//8U2fI2ddff423tzdTp05Vti1ZsgRHR0fOnTuHm5sbAJ6ensp9ubq68vXXXxMTE0OLFi3YuXMnhw4dIjExUTnexcVFiTdt2jS6d+/OkCFDlPO//PJL/Pz8mD9/PsbGxrneQ3527tzJgwcPCAwMBOD9999n8eLF9OjRA3hSAMrIyKBDhw5KW3l4eABw8+ZN7ty5Q+vWralatSrwZPm9wvLy8mLMmDEAjB49munTp2NnZ6fMrD5u3Djmz5/PiRMnaNy4sXLe+PHjadGiBfCkiFS5cmXWr19Ply5dsLKyQqPR6LyvnxcTE8PJkye5ePEijo6OAHz33XfUqlWL+Ph4GjRoADwpFEVFRWFhYQFAjx49iImJybdYWbly5Wzbni1inTt3Dsi9zWrUqKEcI4QQQgghhBDi5aXaKmBarTbXXhehoaEkJCRQvXp1Bg0axPbt2/ONl5qayrBhw3B3d8fa2hpzc3MSExOz9QDy9PRU/v30y/a1a9cASEhIwNvbWyn+PO/48eNMnDgRc3Nz5dG3b19SUlKy9fR4VvXq1UlISCA+Pp6RI0cSGBjIxx9/DDwZUpOUlERYWJhO3MmTJ5OUlFTo9khMTFSGGD3l4+OT7T527dqlc70aNWoAKNd8vq0AKlSooNNWlStXVoo/ObVVVFSUzjUCAwPJysri4sWL2Y5PTk7WOfbZ4tTzlixZQteuXTEweFKP7NatG3FxcUruXl5eNG/eHA8PDzp37sy3337LrVu3gCezrIeGhhIYGEibNm2YO3cuKSkpuV4rN8+2jb6+PmXLllWKTADly5cHUNrrqWdfC1tbW6pXr05iYmKBr5uYmIijo6NS/AGoWbMm1tbWOnGcnZ2V4g/ovnZ52bt3LwkJCTqPihUrZjsur3Gwz/Zue1ZaWhp3797VeaQ9fpxvTkIIIYQQQggh/n2qFYASExOpUqVKjvvq1q3LxYsXmTRpEg8fPqRLly506tQpz3jDhg1j/fr1TJ06VfkS6+HhwePnvmCWKVNG57lGo1GGeJmYmOR5jdTUVCZMmKDz5fjkyZOcP38+zx4thoaGVKtWjdq1ayvDpCZMmKDEBPj222914v72228cOHCgyO2R3320adMm2xf98+fP07RpU+W4F22rDz74QCf+8ePHOX/+vNLz5lkVK1bUObZ///45xr158ybr169n3rx5GBgYYGBgQKVKlcjIyFAmg9bX12fHjh1s2bKFmjVr8tVXX1G9enWl8BQZGcn+/fvx9fXlxx9/xM3NTWlrPT29bMWN9PT0bHnk1DbPbnta3Hx+tbt/S16vXV6qVKlCtWrVdB5PC23wpCcXkGvR6tkeYc+bNm0aVlZWOo//frOooLckhBBCCCGEeM1os7Sl4vG6UmUI2C+//MLJkyf55JNPcj3G0tKSrl270rVrVzp16kRQUBA3b97E1taWMmXKZFtuOi4ujtDQUNq3bw88KUBcunSpUHl5enqyaNEi5TrPq1u3LmfPntUZFlYUY8aMoVmzZnz44YdUrFiRihUrcuHCBbp3757rOXm1x7Pc3d35/vvvefTokVKUelrcePY+1q5di7Ozs86X+8Lw9PTkzz//1Bky9vw1Tp8+XeC2MjAwKNCxy5Yto3LlyjqTXsOTuWkiIiKYOHEi+vr6aDQamjRpQpMmTRg3bhxOTk6sX7+eoUOHAuDt7Y23tzejR4/Gx8eH5cuX07hxY8qVK6dMzPxUQkJCtoJKUR04cIA33ngDgFu3bnHu3DllOJWhoWG+y6i7u7tz+fJlLl++rPQCOn36NLdv36ZmzZqq5JiXwMBAbG1tiYiIwNfXV2dfdHQ058+fz7Zk/FOjR49W2v+p68m/F1eqQgghhBBCCCFeQKF7AKWlpXHlyhX++usvjh49ytSpU2nbti2tW7cmJCQkx3NmzZrFihUrOHPmDOfOnWP16tU4ODhgbW0NPBneEhMTw5UrV5ShPa6urqxbt07pafLee+8VuvdFt27dcHBwoF27dsTFxXHhwgXWrl3L/v37gSfzunz33XdMmDCBU6dOkZiYyMqVK5W5YArKx8cHT09PZZjThAkTmDZtGl9++SXnzp3j5MmTREZGKvME5dcez3rvvffQaDT07duX06dPs3nzZmbOnKlzzEcffcTNmzfp1q0b8fHxJCUlsW3bNnr16pVvAeIpPz8/mjZtSseOHdmxYwcXL15ky5YtbN26FXgyv9LTZdqf9i7asGHDC08CvXjxYjp16kTt2rV1HmFhYfzzzz9s3bqVgwcPMnXqVA4fPkxycjLr1q3j+vXruLu7c/HiRUaPHs3+/fv5448/2L59O+fPn1eKMM2aNePw4cN89913nD9/nvHjx2crCL2IiRMnEhMTw2+//UZoaCh2dnbKqmPOzs6kpqYSExPDP//8k+OwwoCAADw8POjevTtHjx7l0KFDhISE4OfnR/369VXLMzdmZmZ88803bNiwgX79+nHixAkuXbrE4sWLCQ0NpW/fvgQHB+d4rpGREZaWljoPo1yGiwkhhBBCCCGEKFmFLgBt3bqVChUq4OzsTFBQELt27eLLL79kw4YNyopRz7OwsGDGjBnUr1+fBg0acOnSJTZv3oye3pPLR0REsGPHDhwdHfH29gaeFElsbGzw9fWlTZs2BAYGUrdu3ULlamhoyPbt27G3tyc4OBgPDw+dla0CAwPZuHEj27dvp0GDBjRu3JjZs2fnOSlzbj755BMWLVrE5cuX6dOnD4sWLSIyMhIPDw/8/PyIiopShsjl1x7PMjc35+eff+bkyZN4e3vzn//8h88//1znmIoVKxIXF0dmZiZvv/02Hh4eDBkyBGtr6xxj5mbt2rU0aNCAbt26UbNmTUaMGKEUkDw9Pdm9ezfnzp3jzTffxNvbm3HjxuU4n0xBHTlyhOPHj9OxY8ds+6ysrGjevDmLFy/G0tKSPXv2EBwcjJubG2PGjCEiIoKWLVtiamrKmTNn6NixI25ubvTr14+PPvqIDz74AHjyGo8dO5YRI0bQoEED7t27l2uhsiimT5/O4MGDqVevHleuXOHnn39W5szx9fWlf//+dO3alXLlyjFjxoxs52s0GjZs2ICNjQ1NmzYlICAAFxcXfvzxR9VyzE+nTp3YtWsXycnJvPnmm1SpUoU+ffowatQoFi5c+K/lIYQQQgghhBCi+Gi0ec3+KoTIUWxsLG+99Ra3bt3KsefWy+zRo0e0bduWy5cvs3v3bmWlvoL485x6vaueeqhvkf9BhaRPhqrx9LQF62lXGFqNalO0KTLJuUhfVBqN+r8+TNJTVY9pmH5f1Xj3jXNeWOBF3MNK1XhTFqo/IfuXoVdUj6k2TZb6P4upxmVVj2mcofJ70lDd9w9AllbdzwsA08y7qsZ7ZGCmajwA87Rbqse8Z6juZ0ameov4KrTkvJBLURlrc19Mpagea4q+4mxu9FD3M0Or3vSqz8RU97UBMCD7fJgvIrFGzr3FS5tW6WdLOgUBdB/9V0mnAMCyaZVKOoUSof6nlBDipWZsbMyGDRsICQlhz549JZ2OEEIIIYQQ4hWh1WpLxeN1pf6fEIQQLz1jY2NGjRpV0mkIIYQQQgghhFCJFICEKAJ/f//XunIshBBCCCGEEOLlIgUgIYQQQgghhBBCFDttIVf2FuqSOYCEEEIIIYQQQgghXnFSABJCCCGEEEIIIYR41WmFEOJf9ujRI+348eO1jx49KpXxXpaYL0OOxRFTciy9MV+GHIsj5suQY3HEfBlyLI6YL0OOxRFTciy9MV+GHIsjZnHkKMSrTqPVyky2Qoh/1927d7GysuLOnTtYWlqWungvS8yXIcfiiCk5lt6YL0OOxRHzZcixOGK+DDkWR8yXIcfiiCk5lt6YL0OOxRGzOHIU4lUnQ8CEEEIIIYQQQgghXnFSABJCCCGEEEIIIYR4xUkBSAghhBBCCCGEEOIVJwUgIcS/zsjIiPHjx2NkZFQq470sMV+GHIsjpuRYemO+DDkWR8yXIcfiiPky5FgcMV+GHIsjpuRYemO+DDkWR8ziyFGIV51MAi2EEEIIIYQQQgjxipMeQEIIIYQQQgghhBCvOCkACSGEEEIIIYQQQrzipAAkhBBCCCGEEEII8YqTApAQ4qVz//79kk6hyG7fvl3SKQihmuTkZHKaSlCr1ZKcnFwCGf079uzZQ0ZGRrbtGRkZ7NmzpwQyEkJ9r+vPtxBCvMpkEmghxEvH3NycLl260Lt3b/7v//6vpNPJ1eeff46zszNdu3YFoEuXLqxduxYHBwc2b96Ml5dXCWcoXkdJSUlERkaSlJTE3Llzsbe3Z8uWLbzxxhvUqlWrULH09fVJSUnB3t5eZ/uNGzewt7cnMzNTzdSLTO08i/u+f//9d5KSkmjatCkmJiZotVo0Gk2Bzj1x4kSBr+Pp6ZnvMd7e3gW+9tGjRwt0nNo55iQ+Pp5du3Zx7do1srKydPbNmjWrSDGLy4u83s9ycXEhPj6esmXL6my/ffs2devW5cKFC4WK97L8fD+lVjuqqW7dusTExGBjY8PEiRMZNmwYpqamJZrTvyUjI4PZs2ezYsUKzp07h6GhIW5ubvTq1Yt+/foV6bVZvXp1jvECAwOL4Q6EeDUZlHQCQojXg5r/kfzhhx+IioqiWbNmODs707t3b0JCQqhYsWKh8/ryyy8LfOygQYMKFXvBggUsW7YMgB07drBjxw62bNnCqlWrGD58ONu3by9UvKfOnz+f6xebcePGFTre/fv3mT59OjExMTnGLOyXhpfFhQsXcHFxKek0/lW7d++mZcuWNGnShD179jBlyhTs7e05fvw4ixcvZs2aNYWKl9sXrNTUVIyNjV8o14yMDGJjY0lKSuK9997DwsKCv//+G0tLS8zNzQudZ07S0tIwNDQsdG653feNGzcwMzMrdLxnz+/atSu//PILGo2G8+fP4+LiQlhYGDY2NkREROQbo06dOmg0mlzv+ek+jUZToM/ddu3aFfY28qV2js+bOnUqY8aMoXr16pQvX17ntXqRgsDt27dZs2YNSUlJDB8+HFtbW44ePUr58uWpVKlSoeOp8Xo/69KlSzm2V1paGn/99Veh8yvOn++nHj169MKx1G7Hp9QolicmJnL//n1sbGyYMGEC/fv3V60AdPnyZTQaDZUrVwbg0KFDLF++nJo1a9KvXz9VrlFUDx8+pEWLFuzfv5+AgACaNm0KPGmPAQMG8PPPPxMdHc3FixfZu3cvoaGhecbLysqiW7durF69Gjc3N2rUqAHAsWPHWL16Nf369WP+/PncuHGDPXv20L59++K+RSFeWlIAEkL8K9T8AtauXTvatWvH9evX+f7774mKimLs2LEEBgbSu3dv3nnnHQwMCvbxNnv27AIdp9FoCl0AunLlCo6OjgBs3LiRLl268Pbbb+Ps7EyjRo0KFeupb7/9lg8//BA7OzscHByyfbEpSgGoT58+7N69mx49elChQgVV/mLas2dPwsLClP/0qenatWs5FqoK21OgWrVq+Pn5ERYWRqdOnVT5QqNWMa04el0AjBo1ismTJzN06FAsLCyU7c2aNePrr78ucJyhQ4cCT95zY8eO1flCk5mZycGDB6lTp06B4z3vjz/+ICgoiOTkZNLS0mjRogUWFhZ8/vnnpKWlsWDBggLFeVrg1Wg0LFq0SKdwlJmZyZ49e5QvEgXRoUMHJV5oaChGRkY68U6cOIGvr2+B4z3vk08+wcDAgOTkZNzd3ZXtXbt2ZejQoQX6Invx4sUiXz8n48ePVzUeqJ/j8+bOncuSJUvy/VJZGCdOnCAgIAArKysuXbpE3759sbW1Zd26dSQnJ/Pdd98VOqYarzdAdHS08u9t27ZhZWWlPM/MzCQmJgZnZ+cC51XcP99ZWVlMmTKFBQsWcPXqVc6dO4eLiwtjx47F2dmZsLCwQsVTqx2fpVaxvE6dOvTq1Yv/+7//Q6vVMnPmzFwL2IX9/f3ee+/Rr18/evTowZUrV2jRogW1atVi2bJlXLlypUj/Hzh69ChlypTBw8MDgA0bNhAZGUnNmjUJDw8v8P/Xpk+fzuXLlzl27Fi2383Hjx/nnXfe4ZNPPmHt2rWMHDky33hz585l586dREdH07p1a5190dHR9OrVi6pVqxIVFUVISEgB71aI15MUgIQQxUrtL2DPKleuHEOHDmXo0KF89dVXDB8+nM2bN2NnZ0f//v0ZNWpUvn9pK84vIjY2Nly+fBlHR0e2bt3K5MmTgSfFsKJ2nZ88eTJTpkwp0H+YCmrLli1s2rSJJk2aqBbzzp07BAQE4OTkRK9evejZs2eR/kL+rCNHjtCzZ08SExOVguKL9BQ4evQokZGRDB06lIEDB9K1a1fCwsJo2LBhkXNUq5j2bK+LR48eMW/ePGrWrImPjw8ABw4c4NSpUwwYMKBQcU+ePMny5cuzbbe3t+eff/4pcJxjx44BT97LJ0+e1PlSYGhoiJeXF8OGDStUbs8aPHgw9evX5/jx4zrDWdq3b0/fvn0LHOdpgVer1bJgwQL09fV18nR2di5wMQlQvlhrtVosLCwwMTHRide4ceNC5fe87du3s23bNuUv+k+5urryxx9/FCiGk5NTka//bynuHPX09FT9PIMnRZHQ0FBmzJihUzwNDg7mvffeK1JMNV5v+N/nhUajoWfPnjr7ypQpg7Ozc6GKIMX98z158mSWLl3KjBkzdH5eateuzZw5cwpdAFKrHZ+lVrE8KiqK8ePHs3HjRjQaDVu2bMnxD1RF+QPOb7/9pvy+WrVqFbVr1yYuLo7t27fTv3//IhWAPvjgA0aNGoWHhwcXLlzg3XffpX379qxevZoHDx4wZ86cAsVZuXIls2bNyvEPM15eXsycOZOuXbvSq1cvPv7443zjRUZG8sUXX2Qr/gC88847zJgxg379+vH2228zZMiQAuUoxGtLK4QQxcjZ2Vnr7Oys1Wg0WkdHR+W5s7Oz1s3NTfv2229rDxw4UKTYV65c0X7++edad3d3rampqbZ79+7aX375Rfvdd99pa9WqpW3RooXKd1M4H330kdbJyUkbEBCgLVu2rPbevXtarVarXbFihdbb27tIMS0sLLRJSUlqpql1dnbWnj59WtWYWq1We+3aNW1ERITW09NTa2BgoA0KCtKuXr1a+/jx4yLF8/T01LZv31574MAB7cWLF7WXLl3SeRRVenq6du3atdo2bdpoy5Qpo61Vq5Y2IiJCe+3atULHsrKy0v76669FziUnYWFh2jFjxmTbPm7cOG2vXr0KFatSpUrauLg4rVar1ZqbmyvvpXXr1mldXFwKnVtoaKj2zp07hT4vP7a2ttozZ85otVrdPC9evKg1MTEpdDx/f3/tzZs3VcsvPDxcm5qaqlq8p8zNzbXnzp1T/v30vuPj47W2trZFjnvq1Cntli1btBs2bNB5FFZGRob2iy++0DZo0EBbvnx5rY2Njc7jRaiVo1ar1X7++efawYMHv1A+z7O0tNT+/vvvWq1W97W5dOmS1sjIqEgx1X69nZ2dtdevXy9SLjkprp/vqlWranfu3KnVanXvOzExUWttbV3oeMXxc2NmZqa9cOFCtpgXL14s8uut0Wi0V69eLdK5ueV48eJFrVar1bZp00Y7ffp0rVar1f7xxx9aY2PjIsV89n0+ffp07dtvv63VarXaX3/9VVu5cuUCxzEyMtImJyfnuj85OVmrp6dX4HjGxsbaP/74I9f9ly5d0urp6WnT0tIKHFOI15X0ABJCFKunPWzeeust1q1bh42NzQvHXLduHZGRkWzbto2aNWsyYMAA3n//faytrZVjfH19dbqC5+ZpV/eCKOzEobNnz8bZ2ZnLly8zY8YMpfdTSkpKoXtuPNW5c2flr3tqmTRpEuPGjWPp0qWqTk75bA+tp71tevTogbm5Oe+//z4DBgzA1dW1wPEuXLjA2rVrqVatmmo5AhgYGNChQwdatWrFvHnzGD16NMOGDeOzzz6jS5cufP7551SoUKFAsWxsbLC1tVU1v9WrV3P48OFs299//33q16/PkiVLChzr3XffZeTIkaxevRqNRkNWVhZxcXEMGzasSN3mIyMjC31OQWRlZeXYo+vPP//U+Wt8Qe3atUuNtBTFMSwK4M033+S7775j0qRJAMprNGPGDN56661Cx/t/7J13VBOJ9/afhN5BQGxUsYCAotgriNhRXLuiFNtaUCxrL6CiYu8VKe6Kuoq9oYgo2EUBFURRBBXsoNho9/2Dl/kRQskMieW78zknRzNJnlwymcnMnXuf++TJE7i4uCAhIUHEc6e4Mo1t1ZyPjw927dqFadOmYd68eZg7dy5SU1Nx5MgRTtUGsogRAKZPn46ePXuibt26sLS0hIKCgsjjYWFhrDWVlJTw8eNHseXJycnQ19dnrQdIf31Lu6JVVtv3ixcvytyPFxYWIi8vj7WetD9HANDW1kZGRgZMTU1Flt+5c4dzNWvpluCq0qhRI2zbtg09e/bEuXPnmL//5cuXYkbgkkJETJznz59nKm4MDQ1ZVYlqamri9evXTBt8aTIzM1n9VqqoqCArKwtGRkZlPv7x40doampy8nTj4fmvwSeAeHh4fgjSPAFzd3fHkCFDEBMTg+bNm5f5nFq1amHu3LmVahWXulcGl1YeBQWFMsvkvb29WWsVY25ujvnz5+PatWuwtrYWO7Fh61MEAKtXr0ZKSgoMDAxgYmIipsnGY6YsMjIyGBNsOTk59OjRAwkJCbC0tIS/v7/En0fnzp0RFxcn9QTQrVu3sHv3buzbtw9qamqYPn06PD098fz5c/j4+KBPnz64ceOGRFqySKapqKggJiZGLFkWExPD2rfIz88PEyZMgKGhIQoKCmBpaYmCggIMHToU8+bNYx2brAzEnZycsG7dOuzYsQNA0faXk5ODhQsXokePHqz1CgoKEBQUVG6cFy5cYKX36tUrTJ8+ndGjUh5nXFs8/f390blzZ9y6dQu5ubn466+/cP/+fbx//x4xMTGs9SZPngxTU1NERETA1NQUN27cwLt37zBt2jSsWrWKtd4///yDnTt3omfPnli0aBGGDBmCunXrwsbGBteuXeO0/5F2jEDRfjAyMhL29vbQ1dWViq+Zs7MzfH19ceDAAQBF38m0tDTMnDkTf/zxBydNaa9vAIiIiCj3e84mWQzIbvu2tLTE5cuXxVoBDx48CFtbW9Z6svgcpZUsL+nPVBnOzs6sYlyxYgVcXFywcuVKjBw5kpkseuzYMc6tzHZ2dliyZAkcHR0RFRWFrVu3AihKLhoYGEisY29vDz8/Pxw6dKjMx5cvX84qOde6dWts3bqViac0mzdvZlqkeXh4KoYfA8/Dw/NDkNYJWH5+Pnbs2IE//viD1cHIj0KWB3sAxK5GlkQgEHA6IPfx8anwcS7VDnl5eTh27BgCAwMRHh4OGxsbjBo1CkOHDoWmpiYA4PDhw/Dw8MCHDx8k0nz79i1GjhyJFi1awMrKSixRxfbzXLNmDQIDA/Hw4UP06NEDo0aNQo8ePSAUCpnnPH/+HCYmJsjPzy9Xp7Rh8+PHj0FEUkumLV++HD4+Phg9ejRzUH/9+nXs3r0b8+fPx6xZs1hrpqenIyEhATk5ObC1tWVViVWSIUOGVOh5NHnyZE666enp6NatG4gIjx49gp2dHR49egQ9PT1cunRJbJpgZUycOBFBQUHo2bNnmXFKagZfTPfu3ZGWloaJEyeWqdenTx9WeiXJzs7Gpk2bEBcXh5ycHDRt2hQTJkyQuAqtJHp6erhw4QJsbGygpaWFGzduoEGDBrhw4QKmTZsmcQK8GDU1NSQmJsLIyAg1a9bEyZMnmfHitra2yM7O/ukxAoCGhgb27duHnj17sn5teWRnZ6N///64desWPn36hFq1aiEzMxOtW7fGqVOnOE9/k+b69vHxga+vL+zs7Mr8Xh4+fJiVnqy276NHj2LkyJGYPXs2fH194ePjg4cPHyIkJAQnTpxAly5dWGtK83MEgNzcXEyYMAFBQUEoKCiAvLw8kywPCgoS8ROriJK/JwBEqtyK7xfDJXFcUFCAjx8/ilRXp6amQlVVlfV+EigyOx82bBjS0tIwdepU5vd/0qRJePfuXZkecmXx4MEDtGzZEo0aNcLUqVPRsGFDEBESExOxdu1aPHjwANeuXZN4mtqVK1fQqVMn9O3bF9OnTxfRW716NY4ePYrIyEipe3/x8PwvwieAeHh4fgjSPAFTVVVFYmLiL2l2Wvpgrzy4jjf+XdDT02PGto4ePbrMiTFZWVmwtbWVuG3h+PHjcHV1LbMNg8vnWa9ePXh4eMDNza3ck4Tc3FyEhoaKGauWpLIEWkm4tg4dOHAA69evR2JiIgDAwsICkydPxsCBAznpSQttbW2pG4gXk5+fj/3794uc0A0bNkzEeFlS9PT0EBISwql6qCw0NDRw+fLlKk1CKk1eXh66deuGbdu2cU7IlUZHRwexsbEwNTVF3bp1sWvXLtjb2yMlJQXW1tb48uULK70GDRogJCQELVu2RLt27dCrVy/MmjUL+/fvx6RJk/D69eufHiNQZDJ99uxZzgMGKiImJkbkO+no6MhJRxbru2bNmvD394erq6tU9GS5fV++fBm+vr4in+WCBQvg5OTESkcWnyMRIT09Hfr6+nj79q1UkuVAUUvVzJkz4efnx1SrXL16FfPmzYOfnx/rxNfXr19BREy16bNnz3D48GFYWFiga9eunOMsi2/fvkFOTk7sokZFXLt2DZ6enkhMTGSO+YgIDRs2xK5du1hPTDx8+DDGjBmD9+/fiyzX0dHB9u3bOVfi8fD85/jxtkM8PDz/RXR1denkyZNS0erYsSMdPnxYKlqluXnzJs2YMYMGDRpELi4uIrdfjcLCQiosLJSa3q1bt2jPnj20Z88eio2NrZJWSEgIff36VUqRFWFsbEwTJkygzMxMqeg9ffqUCgoKxJYXFhZWaDb5O9OvXz/GKLQkK1asoP79+7PWk4WBeG5uLpmZmUlVt2bNmvTw4UOp6VlYWFR5GykLPT09xsxWGrRr147ZVw4ZMoS6detG0dHRNGLECGrUqBFrvZkzZ9LSpUuJiGjfvn0kLy9P5ubmpKioSDNnzvwlYiQi2r17Nw0cOJA+f/7M6fWlyc3NJTk5OUpISJCKXjHSXt/VqlVjDHylgSy277y8PPLx8aH09HSpaUr7cywoKCAFBQWpahIRNWrUiC5fviy2/NKlS9SwYUPWel26dKGtW7cSEdGHDx/IwMCA6tSpQ8rKyrRlyxbOcX748IF27txJs2bNonfv3hER0e3bt+n58+ec9GJjY2n//v20f//+Ku83P3/+TGFhYbRixQpasWIFhYWFSW075+H5r8AngHh4eH4I0jwB279/P5mZmdHGjRvpypUrFBcXJ3LjSmhoKCkoKFCvXr1IUVGRevXqRfXr1yctLS1yc3OTSuzSIDg4mKysrEhJSYmUlJTI2tqaQkJCOOu9evWK7O3tSSAQMNN8BAIBOTg4cJqERUTk7u5OHz9+FFuek5PDenJVMerq6lI9uREKhWVOZHn79i2r6SQlSUtLEzmxuX79Ok2ePJm2b9/OOU6i/zsgnz17dpUOyPX09Cg+Pl5seXx8PFWvXp11XHv27KH+/ftL/QC8Vq1aUj3xXLVqFY0fP15qCdOzZ8+Sk5MTM4FHWkyZMoVzIqUszpw5Q4cOHSIiokePHlGDBg1IIBCQnp4eM4WpKly9epVWr15Nx44d+6VibNKkCWloaJC6ujpZWVmRra2tyI0LpqamdPfuXU6vLQ9pr++//vqLfH19paYnq+275PQqaSDtz5GIyNLSkq5evSpVTWVl5TKTiHFxcZymdunq6tK9e/eIiGjnzp1kY2NDBQUFdODAAU4JpeJY9PT0yNzcnOTl5ZnpZ3PnziVXV1dOmjw8PL8WfAsYDw/PD2H16tV48uQJNm3aVGVDzrLarIr76qvSWmVjY4OxY8diwoQJ0NDQQFxcHExNTTF27FjUrFlTolafDRs2SPx+XAxT16xZg/nz52PixIlMWX50dDQ2b96MJUuWcDKYHjRoEJ48eYKQkBBmctqDBw8wcuRImJubIzQ0lLWmnJwcMjIyxDwI3r59ixo1alToqVMeI0eORPv27TFq1CjWry0LoVCIzMxMsRifPXsGS0tLfP78mbVm+/btMWbMGLi6uiIzMxP169eHlZUVHj16hEmTJnGalBQfHw9HR0doaWkhNTUVDx8+hJmZGebNm4e0tDSEhIRIrKWiooK7d++iQYMGIsuTkpJga2uLr1+/sorN1tYWKSkpUvU8AorMqpOTk7Fr1y7Iy1d9XoWLiwsiIyNRrVo1NGrUqMpToXR0dPDlyxfk5+dDVVVVTK90i4KkTJo0CSEhIahXrx6aNWsm5ivDdhJhWbx//x46OjpSMUYuya1bt2BnZycVrarGKAtfs4CAAISFhWHPnj1Sm/Qn7fU9efJkhISEwMbGBjY2NmLfS7Z6stq++/Tpg379+lXYWssGWWw3x48fh7+/P7Zu3QorKyupxNmhQwcoKytjz549jIfhq1evMGLECHz79g1RUVGs9FRVVZGUlAQjIyMMHDgQjRo1wsKFC5Geno4GDRpwap90dHRE06ZN4e/vzxwHmZmZ4cqVKxg6dChSU1Ml0pF0wqqk60bSYysux1U8PP81+ClgPDw8P4To6GhERkbi9OnTVT4Bk/ao22JSUlIY01BFRUV8/vwZAoEA3t7ecHBwkCgBJKmXkUAg4HSgsnHjRmzdulVkComzszMaNWqERYsWcUoAnTlzBufPn2eSP0DRlJbNmzez9mP4+PEjqKi6FJ8+fRKZUlVQUIBTp05xMqYEgPr162P27NmIjo6u0gS04gNTgUCABQsWiEzrKigowPXr1zl7u9y7d48xaj5w4ACsra0RExOD8PBwjBs3jlMCaOrUqXBzc2MOyIvp0aMHhg4dykrL2toa+/fvF4tj3759sLS0ZB1b3759Wb9GEm7evImIiAiEh4fD2tpa7ISObcJGW1sbLi4uUotv3bp1UtMqyb1799C0aVMARePFSyKthE21atWQkZGBpUuXYtOmTaxem5OTAzk5OREfprt372L+/Pk4deqU1HzNqhIjwN1rqyI2bdqEx48fo1atWjA2Nhb7TnJJhkh7fcfHxzP7rnv37lVZT1bbd/fu3TFr1iwkJCSUmbBha+gvi+1mxIgR+PLlCxo3bgxFRUUx7zEuSd7du3fDxcUFRkZGzHj09PR01KtXD0eOHGGtZ25ujiNHjsDFxQVnz55lfv9fv37NDFtgy82bN7F9+3ax5bVr10ZmZqbEOqXN26Ojo9GsWTORz5HNuil9bJWeno6aNWuKXCDgelzFw/Nfg08A8fDw/BCkeQImK/NnHR0dfPr0CUDRwc69e/dgbW2NrKwsia+kySo5VUxGRkaZxolt2rRBRkYGJ83CwsIyjR0VFBTEprVVhra2NgQCAQQCAerXry/2uEAgYGWaXJJdu3ZBXV0dUVFRYldK2Rz4FR+YEhESEhKgqKjIPKaoqIjGjRtj+vTpnGLMy8uDkpISgCLDz+ITmYYNG3JeP9I6IAeA+fPno1+/fkhJSYGDgwOAorHRoaGh+Pfff1nHJosTbaDoeyRNQ8/AwECpaQGQWuVCaSIjI6Wmdf/+fURGRkJRUREDBw6EtrY23r59iyVLlmD79u0wMzOTWCs9PR0DBw7EjRs3ICcnh4kTJ2LJkiUYN24c9u/fDxcXF1y5cuWnxihrZJEMkeb6loWerLbv8ePHAyi7+oNLFa+0/25ANklec3NzxMfH49y5c0hKSgJQZOjv6OjIKVG1YMECDB06lLlIVWwsHR4eDltbW04xKikplTloITk5Gfr6+hLrlF4nGhoa2Lt3L+dtuvSxlYaGBqKion6pfQQPz2/Dz+s+4+Hh4eHO48ePaeLEidS5c2fq3LkzTZo0qcr+MEOGDKHVq1cTEZGvry/p6+vTqFGjyNjY+JcxgW7UqBFjwlqSxYsXk5WVFSdNZ2dn6tChA7148YJZ9vz5c+rYsSP17duXldbFixcpMjKSBAIBhYWF0cWLF5nblStXRN7jZ+Pm5kbZ2dlS1WzRogXNnDmTLl26RMrKyoxnyNWrV6l27dqcNPX19RnjTHV1dcaTITw8nOrUqcNa78SJE9SmTRtSVVUlXV1dsre3p4sXL3KK7b9Eye9KdnZ2hTdpkJ6eztko9+jRo6SgoEACgYAEAgHVrVuXLly4QHp6etS1a1c6ffo0K71BgwZRkyZNaOPGjWRvb09CoZDs7OxowoQJv0yMJREIBCQUCsu9/YpUZX3z/B//tc8xIyODYmNjRQYaXL9+nRITEznpeXp6Ut++fSk3N5fU1dXpyZMn9OzZM7K1taXJkydzjrPkb5c0kLYeD89/Cd4DiIeH57fj7NmzcHZ2RpMmTRgfnOLRvMePH2c9SrWY9+/f49u3b6hVqxYKCwvh7++PK1euoF69epg3bx50dHQq1Zg6dSoWL14MNTW1SnvgufgSHDp0CIMGDYKjo6PI3x4REYEDBw5wqrJKT0+Hs7Mz7t+/L1KWbmVlhWPHjqFOnTqsNZ89ewYjIyOp+4yUpKCgAAkJCTA2NpZo3fwILl68CBcXF3z8+BEjR47E7t27AQBz5sxBUlIS69YlABg1ahTevXuHAwcOoFq1aoiPj4ecnBz69u2LDh06yKwdqTyqVauG5ORk6OnpVerTwtULp5g3b97g4cOHAIpGkLO5At20aVNERERAR0cHtra2FcYpSftOSV8roVBYph5V0YessLAQS5YswerVq5GTkwOg6Er3tGnTMHfu3DL9z8qiRYsWaNu2LRYvXoxdu3Zh6tSpaNSoEXbv3o3mzZuzjqtWrVoICwtDq1at8Pr1a9SoUQNr1qzBlClTWGvJKsaSHD16VOR+Xl4e7ty5g+DgYPj4+MDT05Oz9u3bt5GYmAgAaNSoEedKC0A667tfv34ICgqCpqYm+vXrV+FzJdn//MjtW1pIa7spTUFBAY4cOSKyvp2dnSEnJyexxoYNGzBmzBgoKytX6mNTlfal58+fAwCn3+uSZGdno3///rh16xY+ffqEWrVqITMzE61bt8apU6fE2vUkpaSfkDSQth4Pz38JPgHEw8MjM6R9AlaMra0tunbtiuXLl4ssnzVrFsLDwzl5MeTn52Pv3r3o2rUrY87IBXt7exw+fBja2tqwt7ev8Llcy9Zv376NtWvXMgelFhYWmDZtWpVORIgI58+fFytLZ0N8fDysrKwgFAoRHx9f4XNtbGxYxzhlyhRYW1vD09MTBQUF6NChA65evQpVVVWcOHECnTp1qlRD2idLZVFQUICPHz+KJKVSU1OhqqrKyf9IFgfkubm5eP36tViLn5GRUaWvDQ4OxuDBg6GkpITg4OAKn8u1Verz58+MsWtxjHJychgxYgQ2btwo4ttUHj4+PpgxYwZUVVWlYgocFRWFtm3bQl5evlKz1o4dO1aqVxazZ89GQEAAfHx8REzeFy1ahNGjR2Pp0qUS6WhpaeH27dswNzdHQUEBlJSUcObMGdbbdDFycnJ4+fIls29UV1fH7du3xczE2SDtGCVh79692L9/v1iCSBJev36NwYMH4+LFi9DW1gYAZGVlwd7eHvv27WOVnCxGGuvb3d0dGzZsgIaGBtzd3St8riStkD9i+waKtqdVq1Yxv2OWlpaYMWMG2rdvz1pLWttNSR4/fowePXrgxYsXzPf84cOHMDQ0xMmTJ1G3bl2JdExNTXHr1i3o6urC1NS03OcJBAI8efKEVYyySnwBRZ9ffHw8cnJy0LRp0ypvl3wCiIfn14FPAPHw8MgMaZ+AFaOsrIyEhATUq1dPZHlycjJsbGzw7ds3TvGqqqoiMTFRZh5D/+uUnKpVXCFR1k8M1wqJOnXq4MiRI7Czs8ORI0cwYcIEREZGYs+ePbhw4QJiYmIq1ZD2ydKPpLjKrSoH5I8ePYKHh4eYX0tVK1cqY/ny5Rg3bhxz4lwZY8eOxfnz57Fp0yaREzovLy906dIFW7dulUmcoaGhcHZ25nyVuzTjx4+Hr68v9PT0JHp+rVq1sG3bNjET3KNHj2L8+PF48eKFRDqlJ9xV9WRJTk4OmZmZTJJDU1OTmZLIFWnHKAlPnjyBjY0Nc7LMBllMS5TW+mZLTEwM7OzsGL+yqsJ2+/7777/h7u6Ofv36iVSyHj58GEFBQazN7WXxOfbo0QNEhH/++YeZ+vbu3TsMHz4cQqEQJ0+elEgnOzsbWlparN9fEmSR+JIWpS8CtWnTBgcOHBCrUJL0YlBpX6I6deogOjoaJiYmIsu5ml/z8PyX4BNAPDw8vxSSnIAZGhpizZo1GDBggMjyAwcOYPr06UhLS+P03p06dYK3tzf69OnD6fWliYyMLLcKaPPmzZgwYYJEOh8/fmQOasoyZyyJpAc/sihLL9n29ezZswqfyyXJpqysjMePH6NOnToYM2YMVFVVsW7dOjx9+hSNGzeu9LORFbKqdAOKWleKR7dLYxRxcQXLrFmzULNmTbFYGzduXOX3KAtNTU3cvXtX4pN7PT09HDx4UKyqKzIyEgMHDsSbN29kECX7OKWtp6ysjPj4eDED9YcPH6JJkyb4+vWrRDpCoRDBwcHMieeQIUOwbt06sepGSactCYVCaGlpMd+XrKwsaGpqilUYsGkJknaMlfH161fMnj0bp0+fZtoK2aClpYXz58+LtafduHEDTk5OyMrKYq0prfXNlp/9PbewsMCYMWPEplauWbMGO3fuZKqCJEUWn6OamhquXbsGa2trkeVxcXFo27atxEnEkq2jDg4OCAsLkzhRVhmySiBGREQgIiKizCrR4rbmyqjsIhDbiw6l226LX1/6vqwuYvDw/C/BTwHj4eH5pRg7dixatmxZ4YHk6NGjMWbMGDx58oSZiBUTE4MVK1ZU6rtTEePHj8fUqVORnp5e5mhatm1L/fr1w/nz59GsWTOR5evXr8f8+fMlTgDp6OgwB5DFU7ZKw/bgZ+3atRg2bBiUlZUrHF3PZrpWcVInLy8PPj4+mD9/fpUqBEpjYGCABw8eoGbNmjhz5gxTBfLlyxdWngzSpk+fPsyVdGlPClJQUICRkZHUDmrv3r2L27dvo2HDhlLRkxS215q+fPlSZitm9erVJZ7IxwVpXxNjq9e4cWNs2rRJLCm7adMm1sm50u05Y8eOFbnPZn8hq2o4acZYktLeNUSET58+QVVVFX///TenWKU5LbEYaa5vNvzs7/mTJ0/Qu3dvseXOzs6YM2cO6/eXxeeopKTETAUtSU5OjsjkyMpQV1fHu3fvUL16dVy8eBF5eXmc4imL9+/fl7kvb9iwIWd/Jh8fH/j6+sLOzq7MiwSSIu2JqLKY9MbD81+FTwDx8PD8UkhyIDl//nxoaGhg9erVmD17NoCiK2GLFi2qkoni4MGDAYhWvHC5UlXMypUr0b17d1y6dIk5SFu9ejV8fX0lLh8HgAsXLjAl6NI6CCp5cCbtAzUFBQUcOnQI8+fPl6quu7s7Bg4cyByUFrdAXb9+XeKERmUVOiWRtFqnZPuiLMYmz507F3PmzMGePXuY7wFXLC0t8fbtWylFJjtat26NhQsXIiQkBMrKygCKKjh8fHyYUcf/i/j7+6Nnz544f/4883devXoV6enpOHXqlMQ6XBMS5SGLsffSjrEkpY3RhUIh9PX10bJlS86G8Q4ODpg8eTJCQ0NRq1YtAMCLFy/g7e2Nzp07c9KU1vr+3TA0NERERATMzc1Flp8/f54ZRMAGWXyOvXr1wpgxYxAQEIAWLVoAKPqtGTduHKuqNEdHR9jb2zNtgy4uLuUmkC5cuMAqRlkkvrZt24agoCC4urpyen0x0m6l5+qrxsPDIw6fAOLh4fntEAgE8Pb2hre3N3OFTkNDo8q60k6EjBo1Cu/fv4ejoyOio6Oxf/9++Pn54dSpU0y/viSUPPAxNTWFoaGhWBKDiJCens4pTl9fX0yfPl3MWPfr169YuXIlFixYwFqzb9++OHLkiFiJf1VYtGgRrKyskJ6ejgEDBjBVN3Jycpg1a5bEcf1ubNq0CY8fP0atWrVgbGwsVpnGpq1sxYoV+Ouvv+Dn5wdra2uxioZfxT9h/fr16Nq1K+rUqcOcyMTFxUFZWRlnz579ydHJjo4dO+Lhw4fYsmULY8jer18/jB8/nkk68FSOLBJWmzZtgrOzM0xMTMSmJXKtKvqvru9p06bBy8sLd+/eFaniDQoKwvr161nryeJz3LBhA0aOHInWrVsz+8n8/Hw4OzuzivHvv/9GcHAwUlJSEBUVhUaNGklkYi8Jskh85ebmMuuEh4fnfxPeA4iHh+eX4n9xssPMmTMREBCAgoICnD59Gq1ateKsVdJPoCTFJeZc2iVkoVk8maRz585lttNVpVLrV6OyUckl4VKWL00D9WLPlrISiLL0T+CyXX/58gX//POPyGS6YcOGQUVFRSYxAvykmv8lvn37hvj4+DJ9TLj6CkljWuKvwK/wPT98+DBWr14tMs1yxowZUvPgkxaPHz8WibF01RIbSk4JlRYvX77E5s2bRb6TVUl8zZw5E+rq6lKv4OXh4fl14CuAeHh4fjvKa+MRCARQVlaGubk53NzcKh3DXhZ79uzBtm3b8PTpU1y9ehXGxsZYt24dTE1NJTowLctQuXbt2lBVVUWHDh1w48YN3LhxAwC3JEhp48NicnJymFYZaWnGxcVxbjkKCAiAtrY2bt++jdu3b4s8xsZXSBZm1dKmdLuJtJFmW9nv5KOgqqqK0aNH/+wwfiiBgYFQV1cXM7j/999/8eXLF5lUtvwvcubMGbi6uuLdu3dij1Ul0SkQCNClSxd06dKlqiEC+Hnrm6uvizRxcXGBi4uLVLRk+Tmam5tXKelTEnt7+zLbv7hU2+bl5aFbt27Ytm1blad9lfROLCwsxI4dO3D+/HnY2NiIVYmuWbOmSu/Fw8Pz8+ErgHh4eH4pJLmSOHv2bGzduhXW1tZMb/7NmzcRHx8PNzc3PHjwABEREQgLC2N1NXHr1q1YsGABpkyZgqVLl+LevXswMzNDUFAQgoODJTp5ltT0WCAQ4MmTJxLHVnyAtn79eowePVqkhLygoADXr1+HnJycRKPQiymuXMnOzoampqbISUFBQQFycnIwbtw4bN68WWJNaWNqaopbt25BV1e3ws9W0s+zWrVqSE5Ohp6eXqWVO1xNNHnE6dGjBwICAlCzZk2Jnr9s2TIYGBjAw8NDZPnu3bvx5s0bzJw5UxZhwsrKCqdPn+bkQ1IWf/75JxYvXizxGPj69etj+/btYsnrqKgojBkzhtP0qv8i9erVg5OTExYsWFCmmTgXvLy8YG5uLpZoLm7R5JII/lnrW9oVQGy375s3b6KwsBAtW7YUWV78O2ZnZ8fq/WXxOf7xxx9o0aKF2L7G398fN2/exL///staU9rVtvr6+rhy5Qrq1avHOpaSSHqxTCAQsPYp4uHh+fXgE0A8PDy/FJKcgI0ePRpGRkZiJcpLlizBs2fPsHPnTixcuBAnT57ErVu3JH5vS0tL+Pn5oW/fviIHyPfu3UOnTp1+qnlu8QFaVFQUWrduLXIVUVFRESYmJpg+fTqrA8Hg4GAQETw8PLBu3TpmHHNJzf81w93g4GAMHjwYSkpKCA4OrvC5XK4alzeKXiAQQElJSeLpMbJMVF2+fBnbt2/HkydP8O+//6J27drYs2cPTE1N0a5dO1ZaAJCSkoLAwECkpKRg/fr1qF69Ok6fPg0jIyM0atSItR4AmJiYYO/evWJeFNevX8fgwYM5+XVlZWXh4MGDSElJwYwZM1CtWjXExsbCwMAAtWvX5hRnaT5//ozbt2+jQ4cOnF6vrKyMpKQkmJiYiCxPTU2FhYWFzMaC/6+hqamJO3fuoG7dulLTrF27No4dOyY21TE2NhbOzs54/vw5a83fYX3LYvtu0aIF/vrrL/Tv319keVhYGFasWIHr16+z0pPF56ivr48LFy6IjYFPSEiAo6MjXr16xVpTKBTi1atX0NfXF1l+4cIFDBo0CG/evGGl5+3tDSUlJSxfvpx1LD+Kr1+/goiYi1bPnj3D4cOHYWlpCScnp58cHQ/PfxO+BYyHh+eHEBkZWe5Vpu3btzPjf+/du1ep1oEDB8TaioCiKV7NmjXDzp07MWTIENalyk+fPoWtra3YciUlJXz+/JmVVlnk5+fj27dvUFdXZ/3a4uojd3d3rF+/XipmvcUJDlNTU7Rp06bMEcdcKV25UZrdu3dL7b3YUDKpI4v2Cm1t7QqTNXXq1IGbmxsWLlzI+PGUxdq1axlj87Vr10qtZePQoUNwdXXFsGHDEBsbi+/fvwMAsrOzGYNyNkRFRaF79+5o27YtLl26hKVLl6J69eqIi4tDQEAADh48yCnOzMzMMqsJ9PX1kZGRwVovPj4ejo6O0NLSQmpqKkaPHo1q1aohLCwMaWlpCAkJ4RRnaR4/fgx7e3vOLUbVq1dHfHy82IlsXFwcdHV1WeuZmZnh5s2bYq/NyspC06ZNJaqaK9keUhlVbQ/JyckR8+vhsq/r378/Ll68KNUE0Lt370SS5MVoampyvjggjfUti8mGxchq+37w4AGaNm0qttzW1hYPHjxgrSft7QYof9y7goJCuYn+8ihO4gsEAtSvX7/calu25OfnY/fu3Th//nyZXntctsfs7GwUFBSItX+/f/8e8vLyrLfHPn36oF+/fhg3bhyysrLQsmVLKCgo4O3bt1izZg3+/PNPVnqfP3/G8uXLERERUaa/F5vKah6e/yp8AoiHh+eH0K1bN3h5ecHPz49JNLx9+xbu7u6Ijo5mEkCSoKysjCtXroj15V+5coXxwSksLGTtiWNqaoq7d++KjS89c+YMM8JVEo4fP453797Bzc2NWbZ06VIsXrwY+fn5cHBwwP79+zmNIw4MDGT9msooOWXs27dvyM3NFXmcywnYhw8fRO7n5eXh3r17yMrKgoODA6c4iQgHDx5EZGRkmQd+YWFhrDULCgpw+PBhxuTT0tISffr0gbw8t5/HoKAgzJ07F25ubkx74o0bNxAcHIx58+bhzZs3WLVqFZSUlDBnzpxydUaOHImPHz/i+/fv6NevH6dYymLJkiXYtm0bRowYgX379jHL27ZtiyVLlrDWmzVrFpYsWYKpU6eKTOJzcHDApk2bOMdpaGiImJgYsba/mJgYTuamU6dOhZubG/z9/UXi7NGjB4YOHco5TmkzZMgQeHl5QUNDg6kiioqKwuTJkzF48GDWeqmpqWUmo75//44XL15IpHHnzh2R+7GxscjPz0eDBg0AAMnJyZCTkxOrjJGUp0+fYuLEibh48SK+ffvGLK+KMfmmTZswYMAAXL58ucxpd1z8wszNzXHmzBlMnDhRZPnp06c5t1JJY33LcrKhrLZvJSUlvHr1Suxzy8jI4LTvlfZ2AwDW1tbYv3+/mC/Pvn37YGlpyUpr3bp1TLWtj4+P1Kpt7927xyTSkpOTRR7jetFg8ODB6N27N8aPHy+y/MCBAzh27BjriwSxsbFYu3YtAODgwYMwMDDAnTt3cOjQISxYsIB1AmjUqFGIioqCq6sratas+Uv4WfHw/HYQDw8Pzw8gJiaG6tatS40bN6b79+/TiRMnyMDAgDp06ECpqamstBYvXkwqKirk5eVFe/bsoT179pCXlxepqqrSkiVLiIhozZo15OjoyEp3586dVLt2bdq3bx+pqalRaGgoLVmyhPm/pHTq1Ik2bdrE3I+JiSGhUEhLliyhQ4cOUcOGDcnb21tiPRcXF8rOzmb+X9GNC58/f6YJEyaQvr4+CYVCsZu0KCgooDFjxtCKFSs4vd7Ly4uUlJSoW7duNHLkSHJzcxO5seXevXtkZmZGqqqqZGtrS7a2tqSmpkYmJiaUkJDAKUYHBwfav3+/2PL9+/eTg4MDERGFhIRQgwYNKtUSCARlro+qrB8VFRV6+vQpERGpq6tTSkoKERGlpKSQkpISKy0iIjU1NXry5ImY3tOnTznpFbNixQrS1dWl3bt3U2pqKqWmplJAQADp6uqSn58faz1NTU16/PixWJypqams4tTR0anwpqmpWaVt5vv37zRw4EASCASkoKBACgoKJCcnR+7u7vT9+3eJdY4ePUpHjx4lgUBAISEhzP2jR49SWFgYTZgwgerXr886vtWrV1Pv3r3p/fv3zLL3799Tnz59aNWqVaz1iIjatGlDrVu3pn379lFkZCRdvHhR5MaFXbt2kby8PKmrq5OxsTGZmJgwN1NTU06aAQEBpKKiQgsWLGBimz9/PqmqqtKOHTs4aUprfcsKWW3fgwcPpo4dO1JWVhaz7MOHD9SxY0caMGAAaz1ZfI7Hjh0jeXl5GjFiBAUFBVFQUBC5urqSvLw8HT58mJPmxYsXKS8vr9LnLVu2jD58+MDpPaqKjo4OPXjwQGx5YmIiVatWjbWeiooKPXv2jIiIBgwYQIsWLSIiorS0NFJRUWGtp6WlRdHR0axfx8PD83/wCSAeHp4fxqdPn2jYsGGkpKRECgoKtHz5ciosLOSk9ffff1OrVq2YE69WrVrRP//8wzz+5csX+vr1Kyddc3NzEggEJBAIqHbt2rRr1y5WGvr6+hQbG8vc9/b2pq5duzL3T548Sebm5hLrubm50cePH5n/V3Tjwvjx48nCwoIOHjxIKioqtHv3blq8eDHVqVOH/v77b06a5ZGUlEQ1atTg9FodHR06efKk1GJp1apVmSezzs7O1Lp1a06aysrKlJycLLY8OTmZOdh98uSJRAe+JU+CIyMjSUVFhf75558qnSCbmprSuXPniEj0hC44OJgsLCxYaRER1a5dm2JiYsT0wsLCyMzMjLVeMYWFhfTXX3+RsrIyk+hSVVUlHx8fTnolt8mScYaHh1OdOnUk1lFVVaVp06YxJ4Slbz4+PlJJmiYnJ9OBAwfo+PHjrBPkRMTsv4RCIfP/4puioiLVr1+fjh8/zlq3Vq1adO/ePbHlCQkJVLNmTdZ6REVJhqSkJE6vLQ8DAwNaunQpFRQUSFV3y5YtVLt2beazNDU1peDg4CrrVnV9l+TDhw+0c+dOmjVrFr17946IiG7fvk3Pnz9nrSWr7fv58+dkZmZGWlpa1KlTJ+rUqRNpa2tTgwYNKC0tjbOuND9HIqITJ05QmzZtSFVVlXR1dcne3p5zUpINGhoazGddEVlZWcw6Lsm7d++Yi0ZsUVVVpfj4eLHl8fHxnBI21tbWtH79ekpLSyNNTU26cuUKERHdunWLDAwMWOuZmJiUmaDi4eGRHD4BxMPD88O4ffs2NWjQgOrWrUsqKirk7u5OOTk5PzusMvn8+TO9evWK02uVlZWZK15ERM2bNyd/f3/mfmpqKqmqqlY5RmlhaGhIkZGRRFR04Pno0SMiKqpU6d69u1Tf6+TJk6Snp8fptSYmJpSYmCi1WJSVlcs9mVVWVuakWa9ePZo5c6bY8pkzZzIVFzdv3qRatWqx1i55AsYVPz8/srS0pGvXrpGGhgZdvnyZ/v77b9LX16cNGzaw1ps2bRq1a9eOMjIymO9OdHQ0mZmZMVd6q8KnT5/oxo0blJCQQN++feOs4+npSX379qXc3FxSV1enJ0+e0LNnz8jW1pYmT54ssU6bNm1o3bp15T5+9+5dqVbN5efn0507d0SSlGwwMTGhN2/eSC0edXV1Zl9RkgsXLpC6ujonzU6dOjFJSWmho6PDVHzJgtevX9OnT5+krlvV9R0XF0f6+vpkbm5O8vLyzP5i7ty55OrqylpPltt3Tk4Obd++ncaPH0/Tpk2j4OBgys3NrZJmMVX9HH82ku7ru3XrRps3bxZbvnXrVs6/3Z06daKJEyeKLR8/fjy1a9eOtd6///5LCgoKJBQKqUuXLsxyPz8/6tatG2u9PXv2UP/+/enz58+sX8vDw1MEnwDi4eH5ISxbtowUFRVp4sSJ9PXrV0pISKAmTZqQmZkZc0WIDcVXOWfPnl3lq5zFLF68mCl3rwp169alM2fOEFHRCayioqJIyfLt27c5J0G+fPkicuCTmppKa9eupbNnz3KOV01NjUlY1a5dm65fv05ERZUqampqnDS9vb1FblOmTKFBgwaRuro6TZgwgZNmUFAQDR48mL58+cLp9aWxsbGhiIgIseURERFkZWXFSfPo0aOkqKhINjY25OnpSZ6entS4cWNSUlJiKi62bNnCqgWwGGkkgAoLC5m2xuIqBmVlZZo3bx4nve/fv9OoUaNIXl6eab8QCoU0fPhwys/Pr1KsJcnOzqbDhw9zvvKblZVFjo6OpK2tTXJycmRoaEgKCgrUoUMHVknopUuXVnjim5aWxrkSj4ho8uTJTMVhfn4+tW3blgQCAampqZWZePnRuLq6komJCR06dIjS09MpPT2dDh48SKampjRixAhOmo8fPyZHR0cKCgqiW7duUVxcnMiNC1OmTKGlS5dyem15yGLfK+313blzZ5oxYwYRie4vYmJiyNjYmLXej9q+q4ostpu0tDRKT09n7l+/fp0mT55M27dvl0bIFSLpvl7a7VpERNHR0aSsrEzt27enRYsW0aJFi6h9+/akrKxMly5d4qSZkZFBsbGxIhV5169f53RBp0mTJqShoUHq6upkZWXFtG8X33h4eCqHHwPPw8PzQ6hZsyZ2796N7t27M8vy8vIwZ84cbNiwgZlGJAmlJ/o8fPgQZmZmmDdvXpUm+jRu3Bj37t1Dy5YtMXz4cAwcOBB6enqsdWbPno0jR45gzpw5OHXqFK5cuYInT55ATk4OALBjxw6EhIQgOjqatbaTk5PIRI0GDRpAUVGR80QNALCxscHGjRvRsWNHODo6okmTJli1ahU2bNgAf39/TuONS098EwqF0NfXh4ODAzw8PDgZfX79+hUuLi6IiYmBiYmJmLGrJBNuSk5viY6Oxl9//YVFixahVatWAIBr167B19cXy5cvR48ePVjHCBSZ2m7fvp0x5WzQoAHGjh0rNqGGLRoaGoiLi+NsOFuS3NxcPH78GDk5ObC0tOQ0ma4kaWlpuHfvHnJycmBra4t69epVSW/gwIHo0KEDJk6ciK9fv6Jx48ZITU0FEWHfvn34448/OOnGxMQgLi4OOTk5aNq0KRwdHasUp7SpU6cOjhw5Ajs7Oxw5cgTjx4/HxYsXsWfPHly4cAExMTGsNSMiIsqdmMN2Gt+XL18wffp07N69G3l5eQAAeXl5eHp6YuXKlWJTiCTh2rVrGDp0KFJTU5llAoGgSibQXl5eCAkJQePGjWFjYyO2r+AyHUkW+15pr28tLS3Exsaibt26IvuLZ8+eoUGDBiIm22yQ9vYdHBwMPT099OzZEwDw119/YceOHbC0tERoaKjYIIbKkMV20759e4wZMwaurq7IzMxE/fr1YWVlhUePHmHSpEli5tDSRNJ9vZqaGq5du1bmqPqWLVviy5cvnN4/Li4O/v7+uHv3LlRUVGBjY4PZs2dXeb1LAx8fnwofX7hw4Q+KhIfnN+bn5p94eHj+K1TUhsC2p17aVzlLcu/ePZo9ezaZmpqSgoIC9ejRg/755x9W5cZfvnwhV1dX0tbWpoYNG4pdNevUqRMtX76cU3y6urpM29LOnTvJxsaGCgoK6MCBA9SwYUNOmmvWrKH169cTEdG5c+dIWVmZlJSUSCgUVtju8qMZMGAA6enp0bhx42jhwoXM1cnimySUNlYu6ZVS+v6vRnHr0n8BAwMDunv3LhER/fPPP2Rubk6fP3+mLVu2UJMmTX5ydLJDSUmJqToYPXo005725MkT0tDQYK23aNEiEgqF1KJFC+rTpw/17dtX5MaVnJwcpkKnqm28FhYW1K9fP7p27Ro9ffqUMf0uvnGh2FemrJu9vT0nTVnse6W9vqXldSVr6tevz1RfXrlyhVRUVGj79u3Uu3dvTsMMpP05EhFpa2sz3lTr16+nNm3aEBHR2bNnORuJS4qkFUDSbtfKzc0ld3f3Kv/OyHpwBQ8PT9Xgx8Dz8PD8EPT09JCVlYWDBw8iJSUFM2bMQLVq1RAbGys2zr0ybt68ie3bt4str127NjIzM6sUZ6NGjeDn5wc/Pz/ExMRg7969mDJlCsaNGydSPVIRKioqFVYhRUZGco7vy5cvzDje8PBw9OvXD0KhEK1atcKzZ884aXp7ezP/d3R0RFJSEm7fvg1zc3PY2Nhw0nRwcEBYWBi0tbVFln/8+BF9+/bFhQsXWGuePHkSZ8+eRbt27TjFBFTts5eUrKws3Lhxo8yKixEjRkisU3r8+7dv3zBu3DixKouwsDBWOhVRmVZppk6dWuZygUAAZWVlmJubo0+fPqhWrRor3ezsbOY1Z86cwR9//AFVVVX07NkTM2bMYKUFFFWEmJubi43/3rRpEx4/fox169ax1iyLjIwM5OXlwcjIiNPrDQwM8ODBA9SsWRNnzpzB1q1bARRt98UVhGzYtm0bgoKC4Orqyime8sjIyEBGRgY6dOgAFRUVplqHC8+ePcOxY8dY/w5UhCy2c1nse6W9vp2dneHr64sDBw4AKNoO09LSMHPmTImr5srbpsuCSyUVAKSnpzPr+8iRI+jfvz/GjBmDtm3bolOnTqz1pP05AkUVykpKSgCA8+fPw9nZGQDQsGFDZGRkcNKUNkuWLIGjoyPi4uLQuXNnAEUVfzdv3kR4eDhrPQUFBRw6dAjz58+vUlxaWlrM/qDkyHtpcvv2bSQmJgIoOm6ztbWVyfvw8PwvwieAeHh4fgil27ZGjx6NatWqISwsjHXblpKSUpnJmOTkZOjr60stZjU1NaioqEBRURGfPn2Smm5VMDc3x5EjR+Di4oKzZ88yyZvXr19DU1NTKu9hbGzMugS/NBcvXkRubq7Y8m/fvuHy5cucNA0NDav8N3bs2LFKr6+M48ePY9iwYcjJyYGmpqbISbFAIGCVACp94Dx8+HBOMZXUISIcPnwYWlpasLOzA1B0IJ2VlcUqUVTMnTt3EBsbi4KCAjRo0ABA0XYoJyeHhg0bYsuWLZg2bRqio6NhaWkpsa6hoSGuXr2KatWq4cyZM9i3bx8A4MOHD1BWVmYd56FDh3Ds2DGx5W3atMHy5cullgBycHBAcnIyp7YlAHB3d8fAgQNRs2ZNCAQCpkXt+vXraNiwIWu93NxctGnThlMsZfHu3TsMHDgQkZGREAgEePToEczMzODp6QkdHR2sXr2ataaDgwPi4uKkmgCSBbLY90p7fa9evRr9+/dH9erV8fXrV3Ts2BGZmZlo3bo1li5dKpHGnTt3WL8vW9TV1fHu3TsYGRkhPDycSTopKyvj69evrPWk/TkCRUmFbdu2oWfPnjh37hwWL14MAHj58iV0dXU5aUpK+/btoaKiUunz2rZti6tXr2LlypU4cOAA064VEBDAuV2rb9++OHLkiMiFIbYEBgaW+X9p8Pr1awwePBgXL15kLjBlZWXB3t4e+/btk+oxIA/P/yp8AoiHh+eH4O3tDTc3N/j7+zNXUQGgR48eGDp0KCstaVzlLI+nT59i79692Lt3Lx4+fIiOHTvCx8cH/fv3r5KutFiwYAGGDh0Kb29vODg4oHXr1gCKrkhzvQImzeqI+Ph45v8PHjwQqcgqKCjAmTNnULt2bU5xrl69Gn/99Re2bdtWZT+dYrKyshAQECByJdHDw4PzVctp06bBw8MDfn5+UFVVrVJs0jpwLqkzc+ZMDBw4ENu2bWOujBcUFGD8+PGcTmKLq3sCAwOZ12dnZ2PUqFFo164dRo8ezXxfz549K7HulClTMGzYMKirq8PY2JipCrh06ZKY34UkvHv3rsx1qqmpibdv37LWK4+QkBDOvhsAsGjRIlhZWSE9PR0DBgxgKhDk5OQwa9Ys1nqjRo3C3r17q3xFvxhvb28oKCggLS0NFhYWzPJBgwZh6tSpnBJAvXv3hre3NxISEmBtbS3m11NceVEZ/fr1Q1BQEDQ1NStNZrKtdANE972dO3eWyr5X2utbS0sL586dQ3R0NOLj4zl5Xf2IKskuXbpg1KhRsLW1RXJyMuO3dv/+fU77dml/jgCwYsUKuLi4YOXKlRg5ciQaN24MADh27BhatGjBSRMAUlJSEBgYiJSUFKxfvx7Vq1fH6dOnYWRkhEaNGgEATp06JbFekyZN8M8//1T4nOXLl2PcuHFiFbllUa9ePfj6+iImJgbNmjUTqzgtfZzwo5k0aRI+ffqE+/fvM/ugBw8eYOTIkfDy8kJoaOhPjY+H53eAN4Hm4eH5IUjTnDI7Oxv9+/fHrVu38OnTJ9SqVYu5ynnq1ClORqQA0KpVK9y4cQONGzfGsGHDMGTIEM7JClmSmZmJjIwMNG7cGEKhEABw48YNaGpqcrraWbt2bRw7dgzNmjUTWR4bGwtnZ2dWJtBCoZCpeinr50VFRQUbN26Eh4cH6zh1dHTw5csX5OfnQ1VVVexE8f3796z0bt26ha5du0JFRYU5oL958ya+fv2K8PBwNG3alHWMampqSEhIkIpRsyzQ19dHdHQ0U61TzMOHD9GmTRu8e/eOlV7t2rVx7tw5seqe+/fvw8nJCS9evEBsbCycnJxYJ1pu376NtLQ0dOnShTGpPnnyJLS1tdG2bVtWWlZWVhg3bhwmTpwosnzjxo3YunUrHjx4wErvZ2NtbY1Tp07B0NCwwudNnjwZISEhsLGxkYoZco0aNXD27Fk0btxYZD/+5MkT2NjYICcnh/XfUrwPKws2JtDu7u7YsGEDNDQ04O7uXuFzuSZXJdn3Pn/+HLVq1arw72KLpOs7PT290uewwcPDA+vXrxe5aAMAnz9/xqRJk1ibiBeTlZWFefPmIT09HX/++Se6desGoMjAV1FREXPnzq1y7GUh6edYTEFBAT5+/AgdHR1mWWpqKlRVVVG9enUARcbydnZ2TNKpIqKiotC9e3e0bdsWly5dQmJiIszMzLB8+XLcunULBw8e5PaHVYKmpibu3r0r0e+SqalpuY8JBAI8efKkUg1bW1uJW0IlGd5QEi0tLZw/fx7NmzcXWX7jxg04OTkhKyuLlR4Pz38RvgKIh4fnhyDNtq3iq5zSnujTuXNnBAYGMvFwmQD2I6hRowZq1KjBJGbq1KlTpSuS0qyOePr0KYgIZmZmuHHjhsi6VVRURPXq1Tl7MkirTacYb29vODs7Y+fOncxUsvz8fIwaNQpTpkzBpUuXWGt27doVt27d+mUTQPn5+UhKShJLACUlJYn5FUlCdnY2Xr9+LZYAevPmDbO9a2trl9kOWBnNmjUTS0oWTw0qRtITm6lTp2LixIl48+YNHBwcABR5ZaxevZrz96o8TzMDAwOZJ45TU1OZKVwVER8fjyZNmgAA7t27J/IYF8+ez58/l1nZ9v79e4lOgMuCy/euLGTZdlJM8b63JKX3vZaWlhKfbEuKpOvbxMQE7dq1w/Dhw9G/f3+RxAUXgoODsXz5crEE0NevXxESEsI5AaStrY1NmzaJLS894Wn8+PHw9fWV2m+xpJ9jMXJycmKfYekKpe7du0u8vmfNmoUlS5Zg6tSpIp+pg4NDmZ+HtGBzrf/p06dVfr++ffsy///27Ru2bNkCS0tLpmru2rVruH//PsaPH89au7CwUCyRDRT5F0lrX8LD8z/PTzSg5uHh+Q/h6elJffv2pdzcXGaa0bNnz8jW1paZ2CEpwcHB9O3bN7Hl379/p+DgYE7xffjwgf7880/S1dVlJkLp6urShAkT6MOHD5w0ZUFBQQH5+PiQpqYmE6eWlhb5+vpSQUEBJ81GjRrRxo0bxZZv2LCBLCwsqhryL4uysjIlJiaKLb9//z6pqKhw0ty1axcZGRnRwoUL6eDBg3T06FGR28/G29ubdHV1afXq1XT58mW6fPkyrVq1ivT09Mjb25u13tChQ8nU1JTCwsIoPT2d0tPTKSwsjMzMzGj48OFERBQaGkrNmjWT9p9CRJJPyyEi2rJlC9WuXZuZ9GZqasp5fxEXF0f6+vpkbm5O8vLyTAxz584lV1dXTppsYPN3S5Pu3bvTvHnzmBiePHlCBQUFNGDAAPrjjz9+eDzlUdZ2XcyZM2dk+t6yWDeSasbGxtL06dOpTp06pKSkRH369KF///23zN/LisjOzqasrCwSCAT0+PFjys7OZm7v37+n4OBgqlmzJtc/R2I0NDSk+ln+zHVDRKSmpsZM2Cr5uqdPn5KSkpJU4+Iao7Tx9PRk9hklWbBgAbm7u7PWc3Z2pg4dOtCLFy+YZc+fP6eOHTtWabIhD89/Cb4CiIeH54dQljllRkYGK3PKYtzd3dGtWzemBLuYT58+wd3dnZXRLlB09bp169Z48eIFhg0bJtJXHhQUhIiICFy5ckWiq6kbNmyQ+H259NLPnTsXAQEBWL58OdMGEx0djUWLFuHbt2+sP0tANtURxTx48ABpaWliFSCS+nqUx7dv38Q02XrYaGpqIi0tTaxtLj09XeyKt6SMHj0aAODr6yv2GJt2FlmxatUq1KhRA6tXr2Ym2dSsWRMzZszAtGnTWOtt374d3t7eGDx4MPLz8wEA8vLyGDlyJNauXQugaGrOrl27pPdHcOTPP//En3/+iTdv3kBFRYVpK+PC1KlTpeZp9iN4/PgxUlJSqjy1y9/fH507d8atW7eQm5uLv/76C/fv38f79+8RExPDKbaytpWSLFiwgLVm06ZNsXLlSkyYMIFZ9v37d0ybNg27du1i1XL8O2FrawtbW1v4+/vj4sWL2Lt3L8aMGYPCwkL069dP4oodbW1tCAQCCAQC1K9fX+xxgUAgVq0jC+h/zKVCW1sbGRkZYm1Wd+7c+aXazZ8/f45jx46V+dvNtm3033//xa1bt8SWDx8+HHZ2dqyryDZt2gRnZ2eYmJgwrXzp6emwsrLC33//zUqLh+c/y8/OQPHw8Py3uHz5Mm3evJlWrFhB58+f56QhEAjo9evXYsvv3r1LOjo6rPUmT55MVlZWlJmZKfZYRkYGWVtb05QpUyTSMjExkehmamrKOk4iopo1a5ZZSXLkyBGqVasWJ00i6VZHEBGlpKSQjY0NCQQCEgqFjG5x1RIXcnJyaMKECaSvr8/olLyxZdKkSVSnTh3at28fpaWlUVpaGoWGhlKdOnVYV6X9jhRf0ZcGnz59ori4OIqLi6NPnz5JRVMSftaVbU1NTXr8+LFYDKmpqTK9kl+MpH/327dvycHBgdn2il/j7u5OU6dO5fTeWVlZtGTJEhowYAB1796d5s6dSy9fvuSkRUTUpEkTkVujRo1IVVWVNDU1ydbWlpPm/v37qVq1atS9e3fKzMykO3fukIWFBTVo0IBu3LjBOVZJ+NlVJqW5ffs2NWnShNU+8uLFixQZGUkCgYDCwsLo4sWLzO3KlSsi1ReyRNqf5c9eN9OmTaN27dpRRkYGaWho0KNHjyg6OprMzMxo0aJFUo2La4znz58nVVVVsrKyInl5eWrSpAlpa2uTlpYW2dvbs35vAwMDCgwMFFseGBhI1atXZ61HRFRYWEjh4eG0YcMG2rBhA507d46TDg/PfxU+AcTDwyNTrly5QsePHxdZFhQURMbGxqSvr0+jR4+WuDy9SZMmZGtrS0KhkKytrcnW1pa52djYkIaGBg0YMIB1jMbGxhW2BZw+fZqMjY1Z68oCJSUlevjwodjypKQkUlZWrrL+69evpXIC36tXL+rTpw+9efOG1NXV6cGDB3T58mVq0aIFXbp0iZPm+PHjycLCgg4ePEgqKiq0e/duWrx4MdWpU4f+/vtv1nrfv38nLy8vUlRUZJJUSkpKNGXKFNYtE927d6esrCzm/rJly0RaB9++ffs/3U73s5D0xCYzM5OGDx9ONWvWJDk5uSonD/X19Sk2NlYshvDwcKpTpw5rPbZI+ne7urpS165dKT09XeQ1Z86cIUtLS9bv++zZMyosLCz3MWmRnZ1NLi4uFBISwlkjPT2dHB0dSVdXl5SVlWncuHH0+fNnqcVYHj87yUBU9LevWLGCGjduTHJyctSuXTvaunUr6/dNTU0td33/CP7XEkDfv3+nUaNGkby8PAkEAlJQUCChUEjDhw+n/Px8qcbFNcbmzZvTggULRF736dMncnZ2pi1btrB+72XLlpGysjJNmjSJ9uzZQ3v27KGJEyeSqqoqLVu2jLUeDw9P1eFbwHh4eGSKr68vOnXqhF69egEAEhISMHr0aIwcORIWFhZYuXIlatWqhUWLFlWqVWwsePfuXXTt2lWkhUNRUREmJiacxsBnZGQw41fLwsrKSmSc+c+kcePG2LRpk1ir2aZNm5gxtVWBrSF3eVy9ehUXLlyAnp4ehEIhhEIh2rVrh2XLlsHLywt37txhrXn8+HGEhISgU6dOcHd3R/v27WFubg5jY2P8888/GDZsGCs9RUVFrF+/HsuWLUNKSgoAoG7dupzGt589exbfv39n7vv5+WHgwIHM2N38/Hw8fPiQta40aNq0KSIiIqCjo1PpdBa2E1k+f/6M5cuXIyIiAq9fvxYz4ZRkYkxVkLSNyc3NDWlpaZg/fz5q1qzJqf2pJM7OzvD19cWBAweYONLS0jBz5kxO+yBZER4ejrNnz6JOnToiy+vVq4dnz56x1jM1NUVGRoZY++27d+9gamoqtRZHTU1N+Pj4oHfv3nB1deWsk5ubi4KCAhQUFKBmzZpQVlaWSnwVUdXvVlXYvn079u7di5iYGDRs2BDDhg3D0aNHYWxsLLFGfHw8rKysIBQKkZ2djYSEhHKfa2NjI42wf2skXd9EhMzMTGzYsAELFixAQkICcnJyYGtri3r16sk0xvbt20NFRUWi5yYmJjKj1OXl5fH161eoq6vD19cXffr0wZ9//snqvWfNmgUzMzOsX7+eadGysLBAYGAgBg4cKJHGhg0bMGbMGCgrK1faZv+zx9Tz8PwO8AkgHh4emXL37l0sXryYub9v3z60aNECO3fuBAAYGhpi4cKFEiWAFi5cCKBoCsegQYOkdjCvp6eH1NRUsZOkYp4+fYpq1apx0pZmLz1Q5MHRs2dPnD9/npmocfXqVaSnp+PUqVMS68gyKQAUjc8t9kbR09PDy5cv0aBBAxgbG3NOhLx//56ZtKKpqcmMfW/Xrh2rg1JJR9Cz8SagUl4Vpe//TPr06cNMaCo5nUUajBo1ClFRUXB1dZVKYoUtkn7O0dHRuHz5MjMRq6qU5WmWmZnJydOsJCEhIRg0aJDYRK3c3Fzs27eP8Tfbvn07DAwMKtWT9tQuKsc7KCcnR+rJlezsbGRnZ3N67b59+/Dnn3+iffv2SE5Oxt27d+Hu7o6zZ89iz549Mp3Sx3Xb//btW7mfoaTre8mSJRgyZAg2bNjA+YJAkyZNkJmZierVq6NJkyYQCARl/k2/gqcZWyT9HNkg6fomIpibm+P+/fuoV6+exKPoKyMlJQWBgYFISUnB+vXrUb16dZw+fRpGRkbMhS02xwZqamrMsUrNmjWRkpLC6LCdClrMwIEDJU72lMXatWsxbNgwKCsrM95yZSEQCPgEEA+PBPAJIB4eHpny4cMHkQOuqKgodO/enbnfvHlzpKens9IcOXKk1OIDikZ3z507F+fOnYOioqLIY9+/f8f8+fPRrVs31roRERFwdnaGmZkZkpKSYGVlhdTUVBARmjZtyinWjh07Ijk5GVu2bEFiYiIAoF+/fhg/fjxq1aolsY4skwJAUdVUXFwcTE1N0bJlS/j7+0NRURE7duzgfPJlZmaGp0+fwsjICA0bNsSBAwfQokULHD9+nKm0kYSgoCAYGxvD1tb2l0rUyIrixGnp/0uD06dP4+TJk4wh+Y/m9OnTEpmnGhoaSnVda2lp4dy5c4iJiUFcXBxycnLQtGlTODo6VklXUoN7SY2m27dvj5CQECYJLxAIUFhYCH9/f9jb20sc19SpU5nXz58/XySpVFBQgOvXr3NOrpW+ok9EyMjIwJ49e0R+K9jg6emJVatWMYnhLl26ICEhAWPHjkWTJk3w8eNH1poeHh5Yv369mEH858+fMWnSJCZh/ODBA4n3xYWFhVi6dCm2bduGV69eITk5GWZmZpg/fz5MTEzg6ekJQPL1nZaWVuUk7NOnT5lKUGmMBK8Kw4cPl9jc//Pnz4iKiirzYktxUoCNQfvChQvh4eFRafXUp0+fJNITCoWoV68e3r17J7WKn+LjqbZt2+LSpUtYunQpqlevjri4OAQEBODgwYOsNVu1aoXo6GhYWFigR48emDZtGhISEhAWFoZWrVpxjvX27dvMMUujRo1ga2sr8WtLfg9/9neSh+d/gp/SeMbDw/OfwcjIiKKiooioqP9dRUVFxPw5Pj6etXFzfn4+rVy5kpo3b04GBgako6MjcmNLeno6GRgYkJGREa1YsYKOHj1KR44coWXLlpGhoSFVr16d0tLSWOtKu5f+6dOntGPHDtq0aRMlJCSwfv2P5MyZM3To0CEiIkpOTqYGDRqQQCAgPT09zubfa9asofXr1xMR0blz50hZWZmUlJRIKBTSunXrJNYZP3486ejoUJMmTWj9+vX07t07TvGURCgUihiTF4/ILiYzM5Oz+bU0SUtLo/T0dOb+9evXafLkybR9+3ZOeiYmJvTgwQNphceQn59Pu3btoiFDhlDnzp3J3t5e5MaWs2fPkpOTEz19+lTqsUoTaRvcJyQkUPXq1albt26kqKhI/fv3JwsLCzIwMGBMrCWhU6dO1KlTJxIIBNSmTRvmfqdOncjJyYnGjBlDycnJrOMjEjfONzMzo5YtW9Ls2bPp48ePnDSTkpLKfYyrr5BQKKRXr16JLX/z5g3Jyclx0vTx8SEzMzP6+++/SUVFhfFp2bdvH7Vq1YqT5qVLl2jYsGHUqlUrev78OREV/c2XL1+WWKO8v1VaGBsbk4+Pj9R8o2JjY6lGjRqkqalJcnJypK+vTwKBgNTU1DgPXCj2T3JwcKB//vmHtS9cWRw7dozatWsntd/vVq1a0erVq4lI1Ofn+vXrVLt2bU6aKSkpFBcXR0RFgxfGjh1L1tbW1K9fP0pNTWWt9+rVK7K3tyeBQMAcowkEAnJwcChzX1cZPj4+ZXp5ffnyhXx8fFjr8fD8F+ETQDw8PDJl3Lhx1Lp1a7p06RJNnTqVdHV16fv378zjf//9N9nZ2bHSnD9/PtWsWZNWrVpFysrKtHjxYvL09CRdXV0mQcCWJ0+eULdu3cQmVnXt2pUePXrESVNdXZ05ydLW1qZ79+4RUdHJHFtT6QsXLpCqqioTm4KCAu3Zs4dTXOXx/ft3Sk9Pp2fPnoncpMW7d++kaiiamppKhw4dYg5W2fDt2zfau3cvOTo6kqqqKg0YMIDOnDnDOT6BQEA9evQgFxcXcnFxIXl5eXJycmLu9+jR45dIALVr1445AS6eRNO6dWvS09PjdPC8Z88e6t+/v9TNdSdMmEBqamo0cOBAmjx5Mk2ZMkXkxhZtbW3G7FtdXb3KSeNJkyaVua/ZuHEjpwlysjK4J5Lu1C43NzepTY77XcjOzqasrCwSCAT0+PFjZnpednY2vX//noKDg6lmzZqctOvWrcskxEuewCcmJpK2tjZrvWKD/FGjRpGSkhKjt3HjRurevbvEOgKBQKYJoLVr1zIJFkdHRwoNDa1SgqVjx440evRoKigoYD7HtLQ06tChA3MhgguxsbE0adIk0tPTI21tbRo3blyVpsiV3A8pKytXeT+kpqbGXGgo+f15+vTpD5lGKAkDBw4kOzs7kQsF9+/fJzs7Oxo8eDBrvfKSk2/fvv0lfmN5eH4HBET/gfp3Hh6en8bbt2/Rr18/REdHQ11dHcHBwXBxcWEe79y5M1q1asXKN6Nu3brYsGEDevbsCQ0NDdy9e5dZdu3aNezdu5dzvB8+fMCjR48AAObm5py9fwCgRo0aiIyMhIWFBSwtLbF8+XI4OzsjLi4Obdu2RU5OjsRa7dq1g56eHrZu3QplZWXMmzcPhw8fxsuXLznHV0xycjI8PT1x5coVkeX0//0+2Pg8yMJfR9Y8e/YMQUFBCAkJQX5+Pu7fvy9iMC4J7u7uEj0vMDCQS4hSQ0dHB9euXUODBg2wYcMG7N+/HzExMQgPD8e4ceNYmzbb2toiJSUFRAQTExMoKCiIPM7FPwoo8o0KCQlBjx49OL2+NMHBwRU+zrattHbt2jh27BiaNWsmsjw2NhbOzs54/vw5Kz0fHx/m32nTppVrcF+6RbUi8vLy0K1bN2zbtk1qLSfZ2dkoKCgQ2y++f/8e8vLyErfr/Aik5b8mFAorbKsSCATw8fHB3LlzWceooqKCpKQkGBsbQ0NDA3FxcTAzM8ODBw/QokULVr8RQNH26O3tjREjRojo3blzB927d5d4mIFQKGR8gGRJbGwsgoKCEBoaioKCAgwdOhQeHh6sW6S1tbVx/fp1NGjQANra2rh69SosLCxw/fp1jBw5EklJSVWKMy8vD8ePH0dgYCDOnj2Lhg0bwtPTE25ubtDS0pJYR9r7oTp16uDAgQNo06aNyPo+fPgwpk+fzgw3YEtWVhYOHjyIlJQUzJgxA9WqVUNsbCwMDAwkarktiZaWFs6fP4/mzZuLLL9x4wacnJyQlZXFSk8oFOLVq1diAysuXLiAQYMG4c2bN6z0eHj+i/AeQDw8PDJFT08Ply5dQnZ2NtTV1SEnJyfy+L///sv6ZDszMxPW1tYAAHV1dcYotFevXpg/f36V4tXR0UGLFi2qpFGMNHvp7927hytXrqBmzZoAgJUrV2L79u149+4ddHV1qxSnu7s75OXlceLEiSob+craXyciIqLciVNck0rFJ3hExNnU9GcndiQlLy+P8X46f/48nJ2dAQANGzZERkYGaz1Z+EcBRUkPc3NzqelJ2zfs3bt3ZZ74aWpqcjJKlYXBvYKCAuLj46usU5LBgwejd+/eGD9+vMjyAwcO4NixY6zMZov59u0bNm7ciMjIyDK3ay5JRGn6r0VGRoKI4ODggEOHDokkvxQVFWFsbMzKf60klpaWuHz5spjPzMGDB1l5pBTz8OFDdOjQQWy5lpYW6xPtXbt2VfrbXFXD3aZNm6Jp06ZYvXo1tmzZgpkzZ2Lr1q2wtraGl5cX3N3dJfo9UlBQgFAoBABUr14daWlpsLCwgJaWFmuPwbIgIuTl5SE3NxdEBB0dHWzatAnz58/Hzp07MWjQIIl0pL0fGjx4MGbOnIl///2X8feKiYnB9OnTGb8wtsTHx8PR0RFaWlpITU3F6NGjUa1aNYSFhSEtLQ0hISGs9AoLC8UuDABF66z0tl4ROjo6EAgEEAgEqF+/vsj3oqCgADk5ORg3bhyr2Hh4/qvwCSAeHp4fQnlXybhU2NSpUwcZGRkwMjJC3bp1ER4ejqZNm+LmzZucJtvIijVr1jBXcH18fJCTk4P9+/ejXr16rCeAffz4EXp6esx9VVVVqKioIDs7u8oJoLt37+L27dto2LBhlXQA4M8//0RoaCiePn0Kd3d3DB8+vEpVVCXx8fGBr68v7Ozsqpyo+v79O8LCwrB7925ER0ejV69e2LRpE7p168acSPwv0qhRI2zbtg09e/bEuXPnGHPgly9fcvoeSdtUuphp06Zh/fr12LRpk9Qmi0kyLUdSzM3NcebMGUycOFFk+enTp6s0YUraJ4jDhw9HQEAAli9fLhW969evl7nv6tSpE6cKGKDIsDk8PBz9+/dHixYtpLK+Z8+ejenTp8PHxwcaGho4dOgQqlevjmHDhrE29O/YsSMAMAb00px0t2DBAowcORIvXrxAYWEhwsLC8PDhQ4SEhODEiROs9WrUqIHHjx/DxMREZHl0dDTr7+W2bdvELtiURBoTl/Ly8nD48GEEBgbi3LlzaNWqFTw9PfH8+XPMmTMH58+fl6ii19bWFjdv3kS9evXQsWNHLFiwAG/fvsWePXtgZWXFOb7bt28jMDAQoaGhUFJSwogRI7B582YmOb1x40Z4eXlJnAACipIVR44cETFEdnZ2rvCzLg8/Pz9MmDABhoaGKCgogKWlJVNJNW/ePNZ6QJHhu5ubG/z9/UUMz3v06MHKRLsYBwcHTJ48GaGhoUyi9MWLF/D29kbnzp0l1lm3bh2ICB4eHvDx8RE5piyukiyejMrDw1MJP6n1jIeHh4czM2fOpKVLlxJRkVmmvLw8mZubk6KiIs2cOfMnRycbBAIBhYSE0NGjR5mbqqoq7dixQ2QZF+zs7FgZhFaGtP11iqlRowZnA9eS/Pnnn6Sjo0M2Nja0bt06evPmTZU1fxciIyNJW1ubhEIhubu7M8tnz55NLi4uPzEyYvySim9aWlpkampKvXr1EnuMLRcvXiQVFRVydHQkRUVFxitj2bJl9Mcff7DWCwgIIBUVFVqwYAFdvHiRLl68SPPnz2e2STbo6Ogw30FtbW0xX5CqeIRMnDiRNDU1qVmzZjRmzBjy9vYWubFFVVWV4uPjxZbHx8eTiooKaz0iIk1NTYqOjub02vKQlv9aXFwcFRQUMP+v6MaVS5cukaOjI+nr65OKigq1bduWzp49y0nLz8+PLC0t6dq1a6ShoUGXL1+mv//+m/T19WnDhg0S68jaA+j27ds0ceJE0tXVJX19fZo2bRolJiaKPCchIYGUlZUl0rt58yZduHCBiIpMh7t27UoaGhrUtGlTunv3LqcYraysSF5ennr06EGHDx+m/Px8see8efOGBAKBxJqPHj2ievXqkaqqKuPxpaqqSg0aNGBlyk5EVFhYSM+ePaMvX75QWloanTx5kvbv38/ZjL0YTU1NJpaSvkKpqamcfIXS0tKoSZMmpKCgQGZmZmRmZkYKCgpka2srMpBAUi5evEi5ubmsX8fDw/N/8B5APDw8vz3Xrl3DlStXUK9ePfTu3ftnh8Nw8+ZNFBYWomXLliLLr1+/Djk5OdjZ2UmsJUlVClu/nmIuXLiAefPmwc/PD9bW1mLl2lXx9ZCGv04xurq6uHHjBurWrcs5HqDoszQyMoKtrW2FV/PDwsKq9D6/KgUFBfj48SN0dHSYZampqVBVVWXt+VFQUIC1a9fiwIEDZXqtvH//XmItSX2UAPYtd61bt8aAAQMwdepUEa+MGzduoF+/fqw9ewBg69atWLp0KePDZWJigkWLFrFuvQgODsbgwYOhpKQkdY+Qika9CwQCXLhwgbWelZUVNm7cKLJ8woQJiI+Px+XLl1npAUVtUPv27YONjQ3r15aHtPzXSnrhlGwVLQ3Xfa+0ISL4+flh2bJl+PLlCwBASUkJ06dPZ6r9JEFOTg4ZGRky8wCSk5NDly5d4Onpib59+5bZIvT582dMnDjxp7XXLl68GB4eHqw9byqiR48eICL8888/TGXsu3fvMHz4cAiFQpw8eVJircLCQigrK+P+/ftS8/gCilrozp49C1tbW5F95blz5+Dh4cGppY6IcP78ecaLycLCAo6OjozPIFsKCgpw+PBhporK0tISffr0gbw839jCwyMJfAKIh4eHR0a0aNECf/31F/r37y+yPCwsDCtWrMD169d/UmSiFCeXSh+IEQcT6NKkp6cjMDAQQUFByM3NRVJSEucE0MyZM6Gurl5lnyc3NzeJDjp/F18ftuTn5+PixYtISUnB0KFDoaGhgZcvX0JTU5P1ulmwYAF27dqFadOmYd68eZg7dy5SU1Nx5MgRLFiwoMotItJCXV0dCQkJMDU1FTmpSU1NRcOGDfHt2zfO2m/evIGKigrn7/XUqVOxePFiqKmp4dKlS2jTpo1UTmQKCgoQExMDa2trkWRfVYiJiYGjoyOaN2/OtG9ERETg5s2bCA8PR/v27Vlrnj59Ghs2bMC2bdvEvHC40rdvX/Ts2ROjR4/G9OnTcfToUbi5uSEsLAw6Ojo4f/68RDrPnj1j2r6ePXtW4XOlFbs0yM3NxePHj5GTkwNLS0soKyvj9evXEnsVydoE+tmzZ1L/vKS5XwMAX19fTJ8+HaqqqiLLv379ipUrV2LBggWsNdXU1HDt2jXGw7AYLoMhgKL2sYCAANaeghUxatQovHv3DgcOHEC1atUQHx8POTk59O3bFx06dMC6detY6a1cuRIzZswQW15QUIDhw4cjNDSUld79+/fh7OyMzMxMNGjQAEDRIAt9fX0cP368Si1/PDz/GX5W6REPDw8PV/z8/CggIEBseUBAAC1fvvwnRFQ2ampqTPl0SZ48eULq6uqstObPn0+3bt2SVmgiFLewlHdjS8kWMGVlZerfvz+dPHmSaaXgipeXF2lra1OHDh1o4sSJVW5n+S+SmppKDRs2JFVVVZKTk2O+n15eXjR27FjWemZmZnTixAkiEm27Wb9+PQ0ZMoRznE+ePCmzlSE5OZmePn3KWq927doUExPDxFn8d4eFhZGZmRnnOKWBvLw8ZWZmElH5I465oqSkxIyJlhZ37tyhIUOGkKWlJTVr1ozc3d2r1Hby+vVr6tSpEwmFQlJXV69y2xsRUUpKCtOWlZOTQ2PHjiVra2vq168fpaamSqxja2tL79+/JyIiHx8f+vz5M6d4SlJZm19V//ayuHv3LqsR2YsWLZLK31oepqam9PbtW7HlHz58IFNTU9Z60t6vEclm3LiOjg6zHypJdHQ0p/V97NgxateuHSUkJHCKpyyysrLI0dGRtLW1SU5OjgwNDUlBQYE6dOhAOTk5rPX09fVp165dIsvy8/Opf//+1LBhQ9Z6rVq1ot69ezPbJRHR+/fvydnZmVq3bs1aj4fnvwhfK8fDw/PbsX379jKNIRs1asRMxfgVUFJSwqtXr8TMNzMyMlhf4X/+/Dm6d+8ORUVF9O7dG87OzujcuTOrsdDlUWxyKg3Gjx+Pffv2wdDQEB4eHggNDRUxr64K8fHxaNKkCYCiqWglkaYx6/8ykydPhp2dHeLi4kRMn11cXDB69GjWerKayOfm5gYPDw+x1obr169j165duHjxIis9aU/LefXqFaZPn85MpKNSxdRsquZMTEywYcMGODk5gYhw9erVcit2yprwVBFWVlZ48uQJTE1NWb2uIpo0aSKRMa+kDBkyBC9evICfnx8MDAyksi2X3Oeqqalh27ZtnHQSExPx+fNn6OjowMfHB+PGjROrCGEL2wqKn4GszN2LSU1NLXMb+f79O168eMFaT9r7NQDltifFxcVxHmzQq1cvjBkzBgEBAcy00evXr2PcuHHMREY2jBgxAl++fEHjxo2hqKgIFRUVkcfZtOAWo6WlhXPnziEmJgZxcXHIyclB06ZN4ejoyFoLAE6ePAknJydoaWmhf//+yM/Px8CBA5GUlITIyEjWenfv3sWtW7dE9pE6OjpYunSp2Kh5Hh6esuETQDw8PL8dmZmZzDj0kujr63MaZS0rnJycMHv2bBw9epSZWJGVlYU5c+agS5curLR2797NnLQeP34cU6ZMQUZGBrp06YI+ffqgV69enA9KL126VOHjbE46t23bBiMjI5iZmSEqKgpRUVFlPo+Lvw6Xg0UeUS5fvowrV66IJQ5NTEw4nXjJaiLfnTt30LZtW7HlrVq1Epu8JQnSnpbj5uaGtLQ0zJ8/v8oT6VauXIlx48Zh2bJlEAgEcHFxKfN5XNoxlyxZwvi/NGvWDGpqaiKPc/H3Kp6m9uTJE6xbt65K09QA4MqVK7h69SoaN27M+rWypkmTJnB3d0e7du1ARFi1alW57USStgRJe9Lb78SxY8eY/589e1ZkklNBQQEiIiLEJphJgjT3a7IcN75hwwaMHDkSrVu3ZnyP8vPz4ezsjPXr17PWk2UysW3btsw+OCsri7NO8+bNcejQIfTt2xeKiooICAjA48ePERkZCQMDA9Z69evXx6tXr8T2Na9fv2ams/Hw8FQMnwDi4eH57TA0NERMTIzYVe2YmBiJPQ5+BKtWrUKHDh1gbGwMW1tbAEVXrwwMDLBnzx7WekKhEO3bt0f79u3h7++PxMREHD9+HNu3b8eYMWPQokULODs7Y8iQIayMKzt16iS2rPRBr6SMGDFCZtU4gYGBGDx4sNhVTh7JKSwsLHN9Pn/+XGTkr6S4uLggIiICLVu2xKRJk5ix42lpafD29uYcp0AgwKdPn8SWZ2dnc/KkUlRUxM6dOzF//nzcu3cPOTk5sLW15WyeGh0djcuXLzMVaVWhb9++6Nu3L3JycqCpqYmHDx9KzXulR48eAABnZ2eR7ZI4+ntFRUWhe/fuaNu2LS5duoQlS5agevXqiIuLQ0BAAA4ePMg6xoYNG+Lr16+sX1cWko46f/LkiUTPCwoKwsKFC3HixAkIBAKcPn26zOpNgUDAyROmPLPld+/eoXr16r+EsbQ06du3L4Ciz6t0IkxBQQEmJiZYvXo1a11p7tdkOW5cW1sbR48exePHjxkDYwsLC86JC1kkE1esWAETExNmtP3AgQNx6NAh1KhRA6dOneKUqHVwcEBISAj++OMPWFhYICoqinNl8LJly+Dl5YVFixYx3kfXrl2Dr68vVqxYgY8fPzLPrcoACx6e/2V4E2geHp7fDn9/f/j7+2PlypVwcHAAUGRE+tdff2HatGmYPXv2T47w//j8+TP++ecfxMXFQUVFBTY2NhgyZEiZU0+qwuvXr3H8+HEcO3YM7du3x/Tp0yV+bXHbTjF5eXm4c+cO5s+fj6VLlzJmrz8bAwMDfP36FQMGDICnpyfatGnzs0P67Rg0aBC0tLSwY8cOaGhoID4+Hvr6+ujTpw+MjIyqbHwtrYl8vXv3hoqKCkJDQyEnJwegKBE5aNAgfP78GadPn65SnFXF0tIS//zzD5PYlRZRUVFo27ZtpS2iy5cvx7hx46CtrV2pXkWwbf+UxTS18PBw+Pj4YOnSpVWeQigUCmFsbIyhQ4dWmESbPHky6zhlYYxcnubLly9Rt25diRNj8fHxFT6elJSEIUOG/DIJJVNTU9y8eVNq7cGy2K9FRUWhTZs2Uv+tljYFBQU4cuQIk1Bq1KgRnJ2dmf0mW0xNTfHPP/+gTZs2OHfuHAYOHIj9+/czkx7Dw8Mr1ejXr1+Zy69duwZzc3OR9c62GrjkRNTipHbxqWzJ+7/KZD4enl8RPgHEw8Pz20FEmDVrFjZs2MCMnVZWVsbMmTM5XYXlKZuoqChMnToVt2/f/tmhACgqlT9+/DiCgoJw+vRpmJmZwd3dHSNHjkSNGjV+dni/Bc+fP0fXrl1BRHj06BHs7Ozw6NEj6Onp4dKlS1I9ub116xbs7Ow4vfb+/fvo2LEjtLW1mclSly9fxsePH3HhwgWJJr2UnK41derUCp+7Zs0aVvGFh4dj9erV2L59O6eWlaqiqamJu3fvSlzxIi1kMU1NmlMI//33X+zevRsXL15E9+7d4eHhgR49eoicNMqanj17YteuXWW2KRezYcMGAIC3tzcWL14s0lZWUFCAS5cuITU1FXfu3JHoPSsbUc/1hHjhwoXw8PD4pSaclUV6ejq6detW5f3ax48fmYRjyUqSsuBSXfLHH3+gRYsWYj6F/v7+uHnzJv79919Weo8fP0aPHj3w4sULZiLWw4cPYWhoiJMnT6Ju3bqsY1RRUUFycjIMDQ0xefJkfPv2Ddu3b0dycjJatmyJDx8+VKrh7u4u8fuxTc5VltQuiTT9DXl4/pfgE0A8PDy/LTk5OUhMTISKigrq1atXJc8RaXHs2DF0794dCgoKIn4HZcHF9NHFxaXMFiuBQABlZWXUq1cPQ4cORf369VlrlyYpKQl2dnasR9P+CF69eoW///4bwcHBSEpKQrdu3eDp6YnevXv/0JO935H8/Hzs379fxOBz2LBhnFrrcnJyICcnJ/Lau3fvYv78+Th16lSVrsC+fPkSmzZtEqmemzhxosReV/b29jh8+DC0tbXRqVOnclsTBQIBLly4wCo2HR0dfPnyBfn5+VBVVRWrEuBivsqGksmXipCmvxdQ5Pl04MABtGnTRiSGw4cPY/r06UhJSWGlB0i/SgkAXrx4gaCgIAQFBeHLly9wdXWFp6cn55Y/Nkiyborbl589e4Y6deqIVGsUtxn5+vqiZcuWEr1nZSPqi2GbyGnSpAnu3buHjh07wtPTE3/88Qfn39kNGzZgzJgxUFZWZhJg5eHl5cVaXxr7tZItecVJtdJUpbpEX18fFy5cEBsDn5CQAEdHR7x69YqVXo8ePUBE+Oeff5j94rt37zB8+HAIhUKcPHmSdYy1atXCwYMH0aZNGzRo0ABLlizBgAED8PDhQzRv3rzSxBgPD8+vD58A4uHh4ZEiJUv6K0pEcD2AdHNzw5EjR6CtrY1mzZoBAGJjY5GVlQUnJyfExcUhNTUVERERZZrolkXp9gEiQkZGBpYvX478/HxER0ezjvNHcP36dezevRvBwcGoWbMmPnz4AB0dHQQGBpbpa8RTPhkZGVi6dCk2bdok0fPT09MxcOBA3LhxA3Jycpg4cSKWLFmCcePGYf/+/XBxcYG3t7fEJ7ClSUtLg6GhYZknYGlpaTAyMuKkKy2Cg4MrfFzWRr+SJoDK2gdx9fcCgOnTp+P69ev4999/Ub9+fcTGxuLVq1cYMWIERowYIfPpUVyIiorCokWLcOnSJbx9+7bcCWvSQtJ1AxQlKcPCwmQeU1W4c+cOAgMDERoaivz8fAwePBgeHh6sJy6Zmpri1q1b0NXVhYmJSYUJWUk9moCiluWGDRvixIkTsLCwYBVTaUq2YMoiMamiooK7d+8y1TrFJCUlwdbWlrUXlpqaGq5duyaWUIqLi0Pbtm05XbyZOHEiTpw4gXr16uHOnTtITU2Furo69u3bB39/f8TGxrLSCw0NxZAhQ8p8bMaMGVi5ciXrGL99+4b4+Hi8fv0ahYWFIo9xubDGw/Of44cNnOfh4eHhqTIzZ86kP//8kwoKCphlBQUFNHHiRJo9ezYVFhbSmDFjqG3bthJrCgQCEgqFJBAIRG6tW7emxMREWfwZnMnMzKSVK1eSpaUlKSsr0+DBg+ncuXNERJSTk0N//fUXGRkZ/eQof03u3btHGzdupO3bt9OHDx+IiOjNmzc0ZcoUUlZWJktLS4m1Bg0aRE2aNKGNGzeSvb09CYVCsrOzowkTJlB6enqVYxUKhfTq1Sux5W/fviWhUMhKKzc3l+Tk5CghIaHKcf0qqKurU0pKSqXPy8rKErm9efOGwsPDqWXLlnT+/HnW7/v9+3caNWoUycvLk0AgIAUFBRIKhTR8+HDKz8+XWCcuLo7Zh8XFxVV448rXr19pz549ZG9vTyoqKjRo0CD69u0bZz1JkXTd/G7k5ubSoUOHqFevXqSgoEDW1ta0bt06ysrK+tmhUa1atejBgwdS08vLyyMfHx+p7MtK0rx5c/Lx8RFbvnDhQmratClrPR0dHYqJiRFbHh0dTTo6OpxizM3NpZUrV5KXlxfFxsYyy9esWUM7d+5kraelpUWnTp0SWz5lyhSqUaMGa73Tp0+Tvr6+2PFK8XEMDw9P5fAJIB4eHp7fCD09PXr48KHY8ocPH5Kuri4REcXHx5OWlpbEmqmpqSK3tLQ0+vr1q7RClhq9evUieXl5atSoEa1du5bevXsn9pxXr16RQCD4CdH92hw9epQUFBSYA+W6devShQsXSE9Pj7p27UqnT59mpVezZk26evUqEf3fZ7527VqpxSsQCOj169diy1NTU0lVVZW1nqmpKd29e1caoTE8fvyY5s6dS4MHD2aSVadOnaJ79+5J9X3KoqpJhosXL3I64Szm2bNndPLkSdq/fz8lJyezfr1AIGA+s/IS0FxP6K5du0ajR48mLS0tsrW1pY0bN9L79+9Z63ClsnXj7e1NOTk5zP8ruv1KfP/+nfbt20dOTk4kLy9PHTp0IHNzc9LQ0KB9+/ZJrJObm0tmZmZSTdgsXbqURo4cSXl5eVLTVFdXp6dPn0pNj4jo2LFjJC8vTyNGjKCgoCAKCgoiV1dXkpeXp8OHD7PWc3V1pUaNGtG1a9eosLCQCgsL6erVq2RlZUUjR46Uauyl6dGjB718+bLS5504cYK0tLTo8uXLzLKJEydSrVq1OF1gMjc3p/Hjx1NmZibr1/Lw8BTBj4Hn4eHhkSERERGIiIgos1R59+7drPXy8/ORlJQk5vGTlJTEtHMoKyuzGsX+qxt8FlO9enVcvnyZGf1aFvr6+nj69OkPjOr3YMmSJZgwYQIWL16MXbt2YerUqfDy8sKpU6dYt3IARR5MxT4m1atXh6qqKrp3717lOIvNmgUCAebPnw9VVVXmsYKCAly/fp3T6PW5c+dizpw52LNnj8QeQhVRehz60qVLqzwO/UdiYGCAhw8fcn69kZERDA0NAYibN0vC06dPoa+vz/xfWjRq1AivX7/G0KFDERUVxWlktay5c+cO8vLyABS173L5/H4kt2/fZlrAlJSUMGLECGzevJkZXb5x40Z4eXkxY8MrQ0FBgZNZeEXcvHkTERERCA8Ph7W1NdTU1EQeZztpCigaXR4VFSVVk/fevXvjyJEj8PPzw8GDBxlvs/Pnz3NqKduwYQNGjhyJ1q1bMz5k+fn5cHZ2xvr166UWd1lcunRJopa1nj17YsuWLXB2dsa5c+cQEBCAo0ePIjIykpNX4atXrzB16lQYGBhwCZuHhwe8BxAPDw+PzPDx8YGvry/s7OxQs2ZNsQP9w4cPs9b08vJCaGgo5syZw5y437x5E35+fhg6dCjWr1+PXbt2ISgoiJV3z82bNxEZGVlmoorthCRZUFhYiMDAQBw+fBipqakQCAQwNTVF//794erq+sufRP1stLS0cPv2bZibm6OgoABKSko4c+YMHB0dOenJyckhMzOTOYnX1NREXFwckxTiir29PYCiBEvr1q2hqKjIPFZsjjt9+nTWZr62trZ4/Pgx8vLyYGxsLHaCyNbXQhbj0NnQo0cPBAQEVDhpCpCNv1dAQADWrl2LR48eAQDq1auHKVOmYNSoUay1pI1QKISamhrk5eUr3CfI0qSbjQfQr461tTWSkpLg5OSE0aNHo3fv3mLjxd++fYvq1auL/W5UhJ+fH5KTk7Fr1y7Iy1f9WnRlU6e4jIHftm0bfHx8MGzYMDRr1kxsn/Erec08fvyYGQNvYWHBJOdkCdvv+ZYtWzB16lTo6+sjMjKSc4weHh5o27YtPD09Ob2eh4eHTwDx8PD8JlQ2Uaskv8qBWc2aNeHv7w9XV1epaRYUFGD58uXYtGkTMzHEwMAAkyZNwsyZMyEnJ4e0tDQIhULUqVNHIk0/Pz/MmzcPDRo0gIGBgciJE5cJSdKGiNC7d2+cPn0aNjY2aNiwIYgIiYmJSEhIgLOzM44cOfJTY/zVKWlODlT9JFUoFEJLS4v5rmRlZUFTU1PMdJjriba7uzvWr1/PadRyWfj4+FT4OFvzYlmMQwfATFsaMGAAp6lspSlvPHirVq2we/duNGzYkJXeggULsGbNGkyaNAmtW7cGAFy9ehWbNm2Ct7c3fH19OcX56NGjchPQCxYskFinMnPuYriYdH/+/FksCVAWy5Ytw59//gltbe1Kn+vh4YH169dDQ0ND7L0mTZrEukpU2mPbFy9eDA8PD9SuXVsqesW4uLggIiIC6urqUqvYkTayGOKQnp4OgUDA/DbfuHEDe/fuhaWlJcaMGcM51p9BRb8hxZWcpfn333/RtGlTkfH0bC8wffnyBQMGDIC+vj6sra3FJjBymSDHw/Nfg08A8fDw/BaUPhgrfVJTlck2skJXVxc3btwQOdiRJsXjWKt6kmxgYIAVK1bAzc1NClFJn8DAQEyePBlHjx5lKkSKuXDhAvr27YtNmzZhxIgRPynCXx+hUIjg4GBoaWkBAIYMGYJ169aJldFLmjyV5Yn274AsxqEDwJQpU7B37158//4dAwcOhKenZ4Utj5VRejy4UCiEvr4+lJWVOenp6+tjw4YNYlN9QkNDMWnSJLx9+5a15s6dO/Hnn39CT08PNWrUEEtAs63OkhXq6uoYOHAgPDw80K5dO6lolhw7XpK3b9+iRo0ayM/PZ6UnzbHtskQWFTu/A+3bt8eYMWPg6uqKzMxM1K9fH1ZWVnj06BEmTZrEKtkJAH/88QdatGiBmTNniiz39/fHzZs38e+//0ozfBEqSgCV/p2uiMjISFbvGxAQgHHjxkFZWRm6urpi+ws2E+R4eP6r8AkgHh6e347z589j5syZ8PPzE7kKPW/ePPj5+aFLly4/OcIiZs6cCXV1dcyfP/9nh1IhNWvWxKVLl1i31fwonJyc4ODggFmzZpX5uJ+fH6KionD27NDwfYwAAJCbSURBVNkfHNnvQ0VXs4vhelVbVty6dQsHDhxAWloacnNzRR7jUiGQlZWFgwcPIiUlBTNmzEC1atUQGxsLAwMD1hUOshyHnp+fj2PHjiE4OBinT5+Gubk5PDw84Orq+tN9L7S1tXHz5k2xfUVycjJatGiBrKws1prGxsYYP3682Ensr8aRI0cQFBSEU6dOwcTEBB4eHhgxYgRq1arFWuvjx48gIujo6ODRo0dMKyVQdAHj+PHjmDVrFl6+fMlau6pj28ur3iiLX6E9uJiDBw+Wu7/4VZKIOjo6uHbtGho0aIANGzZg//79iImJQXh4OMaNG8c6eaGvr48LFy6IjYFPSEiAo6MjUyUsC35Wq2ONGjXg5eWFWbNmSfS7xsPDUwY/w3mah4eHpyo0atRIZKJEMZcuXaKGDRv+hIjKxsvLi7S1talDhw40ceJEqUx4yczMpOHDh1PNmjVJTk6OhEKhyI0LK1asoMmTJ3N67Y/AwMCA7ty5U+7jsbGxZGBg8OMC4pE5oaGhpKCgQL169SJFRUXq1asX1a9fn7S0tMjNzY21XlxcHOnr65O5uTnJy8szU5rmzp1Lrq6urPWkNQ69Ml69ekWLFy8mZWVlUlBQoD59+lBERESlr4uIiCALCwvKzs4WeywrK4ssLS3p0qVLrOMp3o+VZtq0aTR+/HjWekREGhoav9XY9NevX9Pq1avJ2tqa5OXlqWfPnnTo0CFWE6iKJ5yVd5OTk6MlS5ZUKU6uY9s7deokctPU1CRVVVWytbUlW1tbUlNTI01NTbK3t69SfNJk/fr1pK6uThMnTiRFRUUaO3YsOTo6kpaWFs2ZM4ezbk5ODp08eZK2bt1K69evF7lxQU1NjZks1rt3b1q+fDkRFU3VU1ZWZq2nrKxMSUlJYssTExM56bGhKpMICwsL6dSpU/THH3+wfq2Ojg49fvyY0/vy8PAUwVcA8fDw/HaoqKjg5s2bsLKyElkeHx+Pli1bSjSZ4kdQURk0V2+d7t27Iy0tDRMnTizTWLpPnz6sNQsLC9GzZ08kJyfD0tJSrKf+Z/sxKCoq4tmzZ+Ua3r58+RKmpqb4/v37D46MR1bY2Nhg7NixmDBhAnOl2dTUFGPHjkXNmjUr9fQpjaOjI5o2bQp/f3+RK9dXrlzB0KFDkZqayinOtLQ03Lt3Dzk5ObC1tZVqFd2NGzcQGBiIffv2QVNTE25ubnjx4gX27t2L8ePHY9WqVeW+1tnZGfb29vD29i7z8Q0bNiAyMpK1Ef2kSZMQEhICQ0NDpjXt+vXrSEtLw4gRI0T2HZJWh3h6eqJ58+YYN24cq1h+BTZu3IgZM2YgNzcXenp6GDduHGbNmiUyva4soqKiQERwcHDAoUOHRCbTKSoqwtjYmFNlUUlyc3Nx+PBh7N69GxcuXECbNm3w8uVLvHr1Cjt37pRoateaNWtw8eJFBAcHQ0dHBwDw4cMHuLu7o3379pg2bRrn+KRZsdOwYUMsXLgQQ4YMEdm+FyxYgPfv32PTpk2s47tz5w569OiBL1++4PPnz6hWrRrevn0LVVVVVK9enVOrUcuWLWFvb4+ePXvCyckJ165dQ+PGjXHt2jX079+ftXl8ixYt0KtXL7HWsUWLFuH48eO4ffu2RDpNmzZFREQEdHR04Ovri+nTp1f6HWbjdVXM06dPsXv3bgQFBeHNmzdwdHTEiRMnJH49AHh7e0NfXx9z5sxh9ToeHp7/g08A8fDw/HZ06NABysrK2LNnD9MSUdx+8e3bN0RFRf3kCGWHhoYGLl++zGkUdnlMnDgRu3btgr29vZgJNPDz/RhKT5wqzatXr1CrVq1fqn2Jp2qoqanh/v37MDExga6uLi5evAhra2skJibCwcEBGRkZrPS0tLQQGxuLunXripwgPnv2DA0aNJD6WGquvH79Gnv27EFgYCAePXqE3r17Y9SoUejatSuzXUZHR6Nbt27IyckpV8fY2BhnzpyBhYVFmY8XT3ZKS0tjFZ+k3h5sEtzLli3DmjVr0LNnz9/C1PXVq1cIDg5GUFAQnj17BhcXF3h6euL58+dYsWIFatWqhfDwcIm0nj17BiMjo0qnGI4fPx6+vr7Q09OrVLOsse2jRo0SGdu+ZMkSidqDateujfDwcDRq1Ehk+b179+Dk5MSpRQ0oSkDOnTsXbm5u2LFjB9zd3ZGSkoKbN29iwoQJWLp0KSs9VVVVJCYmwtjYGNWrV8e5c+fQuHFjPHr0CK1atcK7d+9Yx9ipUyfUr18f27Ztg5aWFuLi4qCgoIDhw4dj8uTJ6NevH2vNixcvwsXFBR8/fsTIkSMZk+85c+YgKSmJ9cWW48ePo1+/fhg6dCgcHBwAABEREQgNDcW///6Lvn37SqSjoqKCR48eoU6dOuX6UnHl+/fvOHjwIAICAhAdHY2CggKsWrUKnp6enPwLvby8EBISgsaNG8PGxkZsf/ErtSXy8PyqVH32Ig8PD88PZvfu3XBxcYGRkREMDQ0BFE3XqFev3v/8NChDQ0OxiT5VJTg4GIcOHULPnj2lqistiAhubm7lmpnylT//e+jo6ODTp08Aik5C7927B2tra2RlZeHLly+s9ZSUlBjT9JIkJyeXm1gszdSpU7F48WKoqalV6pPC9SSkTp06qFu3Ljw8PODm5lZmbDY2NpX6ubx69UrsxKgk8vLyePPmDev42Bq2SsKOHTugrq6OqKgoseS9QCD4ZRJAYWFhCAwMxNmzZ2FpaYnx48dj+PDhIhUQbdq0KTfpVhaSTuv6+++/MX369EoTQCXHtgcEBJQ5tn3IkCGYPHmyRO/78ePHMr8nb968YbZPLmzZsgU7duzAkCFDEBQUhL/++kukYoctNWrUwPv372FsbAwjIyOmsubp06ecfy/v3r2L7du3QygUQk5ODt+/f4eZmRn8/f0xcuRITgmgTp064e3bt/j48SNTUQUAY8aMEam4iYmJgZ2dXaUG3r1798aRI0fg5+eHgwcPQkVFBTY2Njh//jw6duwocVxNmjSBu7s72rVrByLCqlWroK6uXuZzJTWqvn37NgICAhAaGgpzc3O4uroiNDQUderUQdeuXTkPr0hISICtrS2AokRkSSpLpPLw8BTBJ4B4eHh+O8zNzREfH49z584hKSkJAGBhYQFHR8df6gDg8+fPWL58OSIiIsocb8ylhHzdunWYNWsWtm/fDhMTE6nEWa1aNZlNKpMGkkyS4ieA/Vxyc3Px9OlT1K1bF/LyVT+06NChA86dOwdra2sMGDAAkydPxoULF3Du3Dl07tyZtZ6zszN8fX1x4MABAEUnCmlpaZg5cyb++OMPiTTu3LmDvLw8AEUtKuXta7jug4gIERERsLOzq3AEvKamZqWJmOKkWXHVR2ni4+PLbamsiDdv3pSbMEtISBAzo5WEp0+fsn5NWcjavNjd3R1DhgxBTExMuQm4WrVqYe7cuay1K0PSJEbxlLKKTM319PTEfovKw8XFBe7u7li9ejVatGgBoKjlb8aMGZwSIMWkpaWhTZs2AIqqT4qTSa6urmjVqhXrli0HBwccO3YMtra2cHd3h7e3Nw4ePIhbt25xjlNBQYExGa5evTrS0tJgYWEBLS0tpKenc9IEiipaSyZ/AIj9lnfv3h13796VyGC5Z8+eVb54ExQUhIULF+LEiRMQCAQ4ffp0mftxgUAgcQKoZcuWmDRpEmN6LS1kkYTm4fmvwbeA8fDw/NZ8+/YNSkpKv1Tip5ghQ4YgKioKrq6uZfr1SHoVtiQ6Ojr48uUL8vPzoaqqKnaVn8vV08DAQJw5cwaBgYGV9v3z8JTky5cvmDRpEjMWPjk5GWZmZpg0aRJq165d7uS2ynj//j2+ffuGWrVqobCwEP7+/rhy5Qrq1auHefPmiZ1AVUZ2djb69++PW7du4dOnT6hVqxYyMzPRunVrnDp1CmpqapzilCaFhYVQVlbG/fv3q+wlNGnSJFy8eBE3b94UG/n+9etXtGjRAvb29tiwYQMr3Ro1aiAgIEDshHPVqlWYP3/+T/Vfk0V7WjH5+fnYsWMH/vjjj58yie1nTVz68uULpk+fjt27dzPJT3l5eXh6emLlypWctxszMzMcOnQItra2sLOzw+jRozF27FiEh4dj8ODBrH/HCgsLUVhYyCQt9u3bx+wvxo4dC0VFRdYxOjk5wc3NDUOHDsXo0aMRHx8PLy8v7NmzBx8+fMD169dZa0qKpOs7PT0dAoEAderUAVDkG7Z3715YWlpizJgxnN5bKBQiMzOzyi1gXbt2xdWrV9G7d2+4uroybawKCgqIi4uDpaVllfR5eHi4wyeAeHh4fjsKCwuxdOlSbNu2Da9evWJOOufPnw8TExN4enr+7BABFI1MPnnyJNq2bSs1zeIT7fKQpFqmNLa2tkhJSQERwcTERCyp9KuM0OWRHrm5uWVWpRkZGbHSmTx5MmJiYrBu3Tp069YN8fHxMDMzw9GjR7Fo0SLcuXNHmmFXmejoaMTHxyMnJwdNmzaFo6Mja428vDyoqKjg7t27Ykb0VaVRo0YICAhgDJa58urVKzRt2hRycnKYOHEicwU+KSkJmzdvRkFBAWJjY1knM/z9/bFgwQK4u7tjzZo1eP/+PUaMGIGEhARs374dLi4uEun8iHY6aVPSZ+ZHU1FC4EeMbf/8+TNSUlIAAHXr1q1ywnTUqFEwNDTEwoULsXnzZsyYMQNt27ZlKnYCAgKqpF8ebLyUipPF9vb2eP36NUaMGMEklXbv3o3GjRvLJEZA8gRQ+/btMWbMGLi6uiIzMxP169eHlZUVHj16hEmTJklcrSMr0tPTERgYiMDAQHz9+hWDBg3Cli1bEB8fz6pVsiT29vYVXvDjMlyDh+e/Bt8CxsPD89uxZMkSBAcHw9/fH6NHj2aWW1lZYd26db9MAkhHR0dkuos04JLgqQxJjSJ5fn8ePXoEDw8PXLlyRWQ5EUEgELA20j5y5Aj279+PVq1aiRyUN2rUiDlhrAqvX78uM1FlY2PDSa9du3Zo165dlWJSUFCAkZGRTEzHly9fjhkzZmDr1q1VSi4ZGBjgypUr+PPPPzF79mymhUggEKBr167YvHkzp0qWv/76C126dIGrqytsbGzw/v17tGzZEvHx8ahRo4bEOiXb6SpKEv5KlZ0tWrTAnTt3fkoCqCJKf36xsbHIz89nkn7JycmQk5NDs2bNOL+Hmpoa522uLHbs2MFs0xMmTICuri6uXLkCZ2dnjB07VmrvUxpJvZQAwM7Ojvl/9erVcebMGZnFxZV79+4xrXkHDhyAtbU1YmJiEB4ejnHjxnFOAKWkpGDdunVITEwEAFhaWmLy5MmsW8UNDQ2xYMECLFiwAOfOnUNgYCDk5eXRp08f9O/fH/3790fTpk1ZaZYegJGXl4e7d+/i3r17Mjk+4uH5X4RPAPHw8Px2hISEYMeOHejcubPI6ODGjRsznkC/AosXL8aCBQsQHBxcpdaqjx8/MoaJZRnZloSLseLChQs5xcXz++Hm5gZ5eXmcOHGizLZEtrx586bMVoHPnz9XSfv27dsYOXIkEhMTxfxPuCSqgKLpOGvXrmVOaiwsLDBlyhROVUBz587FnDlzsGfPHqkmeUeMGIEvX76gcePGUFRUFPMCYtMaY2xsjFOnTuHDhw94/PgxiAj16tVj3T5XGnNzc1hZWeHQoUMAgEGDBrFK/gCiPh6y8vS4detWuWPG2U5bAoqqR6ZNm4bnz5+jWbNmYlUw0kyQsKHk57dmzRpoaGiUO7adLbKqthAKhYy/DgAMHjwYgwcP5qTFhv+1poe8vDzGKPr8+fNwdnYGADRs2JD1pMRizp49C2dnZzRp0oSpXo6JiUGjRo1w/PhxdOnShZNuly5d0KVLF3z48AF///03du/ejRUrVrDel69du7bM5YsWLapwMiIPD8//wbeA8fDw/HaoqKggKSkJxsbGIqXSDx48QIsWLX7qQYCtra3IAXPxiVdVWqtKjmUVCoVlHpBzreAoye3bt5mT40aNGjGTNnj+d1BTU8Pt27fRsGFDqeh16NABAwYMwKRJk6ChoYH4+HiYmppi0qRJePToEeer5o0bN0bdunUxc+ZMGBgYiH3n2VZhbNmyBZMnT0b//v3RunVrAMC1a9dw8OBBrF27FhMmTGClZ2tri8ePHyMvLw/GxsZiyQCubZOyaPGUJjExMRg+fDiqVauGv//+GzExMZg6dSq6d++Obdu2VTm5JC327duHESNGoGvXrggPD4eTkxOSk5Px6tUruLi4IDAwkLVmyYRFMQKBQCr73sr4888/sXjx4korV6Q9tt3b21vkfulqi/Xr10usFR8fL/FzZZVMq6y1qvTvd0XIsjVaU1NTIhPoli1bwt7eHj179oSTkxMz/ezatWvo378/nj9/zvq9bW1t0bVrVyxfvlxk+axZsxAeHi7Vvzs2NpZ1BVB5PH78GC1atODkg8jD81+DrwDi4eH57bC0tMTly5fFTgIPHjz405MWsminunDhAlNlIIur5a9fv8bgwYNx8eJFZqRxVlYW7O3tsW/fPonHZPP8+lhaWuLt27dS0/Pz80P37t3x4MED5OfnY/369Xjw4AGuXLkiNtKbDU+ePMGhQ4fKnWLFJc61a9di4sSJzDIvLy+0bdsWfn5+rBNAsmqb/NkJnspwcHCAt7c3Fi9eDAUFBVhYWMDe3h7Dhw+HtbU1qxNODw8PiZ63e/du1nEWr+8JEyZAQ0MD69evh6mpKcaOHctp+hkgvWllJTExMYGHhwfc3Nwq9N/aunWrRHrSHtsuzWqLJk2aMAmzipB1Mq0ifpV2aEmvza9YsQIuLi5YuXIlRo4cyfgSHTt2jGkNY0tiYiIzLbEkHh4eWLduHSfN8pBW8gcArl69KmZ4z8PDUzZ8BRAPD89vx9GjRzFy5EjMnj0bvr6+8PHxwcOHDxESEoITJ05wLlH+rzJo0CA8efIEISEhjDHjgwcPMHLkSJibmyM0NPQnR8gjLS5cuIB58+bBz88P1tbWYlVpXFoIU1JSsHz5csTFxTHmyjNnzuQ0EryYvn37wtXVVeIR7ZWhrq6Ou3fviiWUHj16BFtb21+ydeDbt29irUtc1o80iYqKQseOHcWWFxvzz58/X2ItoVAIY2Nj2NraVnjCe/jwYdZxqqmp4f79+zAxMYGuri4uXrwIa2trJCYmwsHBgXN7jLRZt24dgoKCcO/ePdjb28PT0xMuLi5MWw9bRowYgcuXL5c5tr19+/aVVphJCpdqi2fPnkn8XFn5LP2saWrFLFy4EB4eHlL9+woKCvDx40eR6rvU1FSoqqoy7bkxMTGws7OT6HtlaGiINWvWYMCAASLLDxw4gOnTpyMtLU1qsXOhX79+IveJCBkZGbh16xbmz5/Pt7Tz8EgAnwDi4eH5Lbl8+TJ8fX1FTjoXLFgAJyennx0aw82bN1FYWIiWLVuKLL9+/Trk5ORETCYrQtal81paWjh//jyaN28usvzGjRtwcnJCVlYWa02eX5PiNpbSbQ4/oo2FDW/fvsXIkSPRokULWFlZiSWqir0uJGXo0KGwtbXFjBkzRJavWrUKt27dwr59+1jHmJWVhYMHDyIlJQUzZsxAtWrVmMlatWvXZq0HFHknzZw5EwcOHMC7d+/EHv9V1o80mDBhAkJDQ2FsbAx3d3emtUwa1KlTB6dPn4a1tTVsbGwwe/ZsDBkyBFevXkW3bt2QnZ3NWfvBgwdl+gqx/U6WJDY2FkFBQQgNDUVBQQGGDh0KDw8P1hUSshrbXpo9e/Zg5syZrFvKfjY/OwHUpEkT3Lt3Dx07doSnpyf++OMPzsk+NkjaUgYAvr6+WLt2LWbNmoU2bdoAKEogrVixAlOnTmWV5JUF7u7uIveFQiH09fXh4ODwSx3/8fD8yvAJIB4eHh4Z0aJFC/z111/o37+/yPKwsDCsWLEC169fl0in2Pen+CS9IricIGpoaODy5cti0zXu3LmDjh07Vmo8zfP7UFlbVlnVHRVR3ndDIBBASUkJioqKrPSKOX78OFxdXcvU55KoWrJkCVatWoW2bduKeADFxMRg2rRpIpU1Xl5elerFx8fD0dERWlpaSE1NxcOHD2FmZoZ58+YhLS0NISEhrOIrZsKECYiMjMTixYvh6uqKzZs348WLF9i+fTuWL1+OYcOGcdKtKj169EBoaCi0tLQAFE0rGzduHNMy+u7dO7Rv3x4PHjxgpfv9+3eEhYVh9+7duHLlCnr27AlPT084OTlVyUR86NChsLOzY8bNb9y4EX369MG5c+fQtGlTTibQT548gYuLCxISEkRamYrjlEZyLi8vD1u2bMHMmTORl5cHa2treHl5wd3dndXnIa2x7dKstjh27Bi6d+8OBQUFHDt2rMLnViWZVhGVeSlVq1YNycnJ0NPTg46OToWfOVevmTt37iAwMBChoaHIz8/H4MGD4eHhIXYBRpqwSXwREdatW4fVq1czCb5atWphxowZ8PLy+qUm8/Hw8HCDTwDx8PD8dpiZmeHmzZvQ1dUVWZ6VlYWmTZviyZMnPykyUdTV1REfHy920PX06VPY2NhI7MlQsnT+zp07mD59OmbMmMGcyF69ehWrV6+Gv78/Jw+DPn36ICsrC6GhoahVqxYA4MWLFxg2bBh0dHQ4tWDw/Dcoz5S8mDp16sDNzQ0LFy4s00S3PExMTNCrVy/Mnz+f07jy0piamkr0PIFAINH+w9HREU2bNoW/v7/IydWVK1cwdOhQpKamcorTyMgIISEh6NSpEzQ1NREbGwtzc3Ps2bMHoaGhOHXqFCfdqlLSiB4Qryh49eoVatWqVaUkyLNnzxAUFISQkBDk5+fj/v37UFdX56T1/v17fPv2DbVq1UJhYSH8/f1x5coV1KtXD/PmzeNkVt27d2/Iyclh165dMDU1xY0bN/Du3TtMmzYNq1at4jRlq5i8vDwcPnwYgYGBOHfuHFq1agVPT088f/4cmzdvhoODA/bu3ctZnytubm4i23dVqi2EQiEyMzOZYQblwSXBK6mXUmUEBwdj8ODBUFJSkrkhe15eHo4fP47AwECcPXsWDRs2hKenJ9zc3JhEq7TgWvlUfIyioaEh9hibtrJiSieOuZCeng6BQIA6deoAKKpU3rt3LywtLTFmzBjOujw8/ymIh4eH5zdDIBDQq1evxJZnZmaSoqLiT4iobKpVq0ZXrlwRWx4TE0Pa2tqcNJs3b04nT54UW37y5Elq2rQpJ820tDRq0qQJKSgokJmZGZmZmZGCggLZ2tpSeno6J02eX5vPnz9TYmIixcXFidzYEhwcTHXq1KF58+bRsWPH6NixYzRv3jwyNDSk7du305IlS0hbW5uWLl3KSlddXZ0eP37MOp4fhaamJhOfuro6paSkEBFRamoqKSkpcdZVU1OjZ8+eERFR7dq16fr160RE9OTJE1JTU6ti1Nwpvc8t+TcTFe17hUJhld4jLS2NfHx8yNTUlGrXrk2fPn2qkl55fPnyhdPrdHV1mW1EU1OTkpKSiIgoIiKCmjRpwknz9u3bNHHiRNLV1SV9fX2aNm0aJSYmijwnISGBlJWVJdLr1KkT2dvbl3v7X2Xt2rXUuHFjkpOTI0dHRwoNDaVv37797LAq5Pv377Rv3z5ycnIieXl56tChA5mbm5OGhgbt27dPqu9VenuVBhoaGqw1ubymNO3ataOQkBAiIsrIyCANDQ1q3bo16enpkY+PT5W0eXj+K/BTwHh4eH4bSpaNnz17VuQqWUFBASIiImBiYvITIisbJycnzJ49G0ePHmVizcrKwpw5czgbVSckJJRZzWBqasq6/aIYQ0NDxMbG4vz580hKSgIAWFhYwNHRkZMez6/Lmzdv4O7ujtOnT5f5ONsr78HBwVi9ejUGDhzILOvduzesra2xfft2REREwMjICEuXLsWcOXMk1u3Xrx8iIyNRt25dVvGUx7dv38qdEJORkcF6MpSSklKZ7WnJyclVmppnZmaGp0+fwsjICA0bNsSBAwfQokULHD9+vEpXzX9VSraARUdHo1evXti0aRO6devGqmJM0vfavHkz/P39kZmZyfr1BQUFTCWEnp4eXr58iQYNGsDY2BgPHz7kFFPz5s3RpUsXbN26FX379hXzugKK9u2DBw+WSK90G2/pse1s+V2qbadMmYIpU6YwXkqTJk3C+PHjOXspleT169d4/fo1CgsLRZZzHVV/+/ZtpgVMSUkJI0aMwObNmxmD+o0bN8LLywuDBg3iHPOPgDg0kHB5TWnu3bvHGJwfOHAA1tbWiImJQXh4OMaNG4cFCxZU+T14eP7n+dkZKB4eHh5JEQgEJBAI6P+1d+dxNafv/8Bfp00rZSlK21FUKjsRhhBZKvseX8tYQ8WUQYoKzSCGETHEYJjshsgWkbG0E9GiUJYSUyHV/fujX++Po3DO6dRpuZ6PR4/p3Od0navJOXWuc9/XJSMjw31e9qGgoMBat27NTp06Je00OU+fPmV8Pp81atSI9enTh/Xp04epq6uzNm3asPT0dLFidujQgU2ePJl9/PiRW/v48SObPHky69Chg0ixLl68yExNTdnbt2/LXZebm8vMzMzY1atXxcqT1EwTJkxg1tbW7Pbt20xFRYWdP3+e7du3j7Vp04adPn1a5HiKioosKSmp3HpSUhJTUlJijJXuXin7XFg+Pj6sadOmbMqUKezXX39lmzZtEvgQlampKYuOji63HhISwpo2bSpyvOnTpzNHR0dWWFjIVFVVWUpKCnvy5Anr0KEDW7hwocjxymzYsIH7/sLCwpiioiJr0KABk5GRYQEBAWLHrSwZGRn28uVL7nLZ91xGnB1Ac+bMYRoaGszS0pIFBASwV69eVTrPDx8+MA8PD9apUyfWvXt3duzYMcYYY3/88Qdr0aIFa9myJVu7dq1YsXv27MnFGz9+PBs0aBCLiIhgTk5OrG3btmLFTEtLE+vrRLVy5Urm5uYm8tdV5W7bW7dusXXr1jE3Nzfm4uIi8FFZhYWFLCAggHvstGvXju3atYuVlJQIHePOnTusbdu2Ff69Ie5uN3NzcyYnJ8cGDx7Mjh07xoqKisrd5tWrV4zH44kV/2sksfPmS+LsKpLETiQVFRWWmprKGGNs2LBh3OP5yZMnQu+UI6S+ox5AhJBax9DQELdv3/5qI8eaJD8/H/v370dsbCyUlJRgaWmJ8ePHV/hOrzBu3bqFYcOGgTHGvQMZFxcHHo+HU6dOce+MCcPe3h59+/aFi4tLhddv3rwZly9fph5AdUiLFi1w4sQJdO3aFQ0bNsSdO3fQunVrnDx5Ev7+/oiIiBApXuvWrTFixAisXbtWYN3DwwPHjh3Dw4cPcefOHTg4OODZs2dCx/1Wzx5h+/R8bu7cufjjjz/g7e0Nd3d35OfnY968eTh8+DB8fX2/+hj4mrdv32LUqFG4c+cO/vvvP2hrayMrKwvdu3fHmTNnJDZt6cmTJ7h79y6MjIzE3nEgCTIyMrCzs+P6fZw6dQo2Njbc9/nx40eEhoaKtINMRkYGenp66NChwzf7SInSsNnd3R3bt29H//79cePGDW7H282bN/Hzzz9j9OjRkJWVFTre586dO4f8/HyMGDECjx8/xtChQ5GUlIQmTZrg0KFDsLGxEStudRB1bHvZbltHR0cEBwdXuNs2LCxM7J1Pfn5+WL58Odq0aQMtLS2Bnz+Px8OlS5fEiivJXkrt2rVDq1at4O7uXi5HQLxR9atXr8a0adPEnhIorqqYfiZOzIyMDGhra4v9GASAbt26oW/fvhgyZAhsbW1x8+ZNtGvXDjdv3sSoUaPw9OlTsWMTUl9QAYgQQmqZsqLS58e1JkyYIPKLTn19fYSGhsLU1LTC6x88eABbW1ukp6dXOmdSMzRs2BBxcXEwMDCAvr4+Dhw4AGtra6SmpqJt27YoKCgQKd7JkycxevRomJiYcFNs7ty5gwcPHiAkJARDhw7Ftm3b8OjRI2zYsKEqviWh/fPPP5gxYwaMjIyQmZkJVVVV/PnnnzA3Nxc7ZkREBOLi4pCXl4eOHTvW2WOTX45e/prdu3cLHfPLBsOSiMnn8xEQEAB7e3skJCTA0tISU6dOxa5du6pkelFOTs53p0V9SZTbiztp6kuijm0vO373+bSzMvLy8jAwMMD69esxdOhQsfLR0tLCunXrMHXqVLG+/ktRUVHcsSoZGRk4OTlhxowZMDEx4W6TkJCALl264P3790LFVFNTQ3R0NHc0SxJWrVqFxYsXQ1lZWWD9/fv3+OWXX0Q+vrRy5UpMmzZNrGJUZVVFUUkYV65cwfDhw/Hu3TtMmTIFf/zxBwDg559/xoMHD8Sa8EdIfUMFIEJIrbNgwQIYGRmVG9e8ZcsWPH78GAEBAdJJrAL79u3D9u3bkZKSgsjISOjr62Pjxo3g8/lwcHCQam6KiopISEj46h+4jx8/hoWFhdB/MJOar0uXLvDx8cHAgQNhb28PdXV1rFmzBps3b0ZISAg3OloUaWlp2L59O7cboE2bNpg1a1a19OP6chrVt5SUlMDZ2Rnbtm2DnJwcTp06hYEDB1Z5jt+zefNmoW8rzIj6+kxBQQGpqancDgslJSXcunULFhYWUs7sfz6fLpWdnc09Hj+f6nju3DmsWLFC5J1pkhzbDlTdbtsWLVrg6tWrMDY2lkg8WVlZDBgwANOnT/9qL6X8/HzMnz9f6IKio6MjJk+ejJEjR0okx7I8P5+mVyY7Oxuampoi92Br3749EhIS8MMPP2D69OkYOXKkSFO5KkOU515JKy4uxrt37wSm+aWlpUFZWbnc/1tCSHlUACKE1Do6Ojo4efIkOnXqJLAeFRUFe3v7GrMFeNu2bfD09MSiRYvg4+ODe/fugc/nY8+ePQgODsbly5fFivvo0SNcvny5wsaUoryD2KpVK6xfv/6ro+OPHj2KxYsX15hGn6Ty/vzzTxQVFWHq1Km4e/cuBg0ahJycHCgoKGDPnj0SbTyakJBQqd01whD2Xejk5GRMmDABWVlZ2LlzJ8LDw/HLL79g4cKF8PX1FetI5sWLF7Fx40YkJiYCKN2Jt2jRIpF3AUl6RH19Jisri6ysLK4Rt5qaGuLi4oT+f/ylLwsq3yLOzoORI0eib9++mD9/vsD6li1bcOHCBRw/flykeJIc216V/P398fz5c4m9WfPkyROJ74J5/fo1pkyZgq5du8Lc3Lzcc4S9vb3IMWVkZPDixYtyjeIvXbqEsWPH4tWrVyLHjI6O5nY/FRUVYdy4cZg2bRq3I1MUjDFkZGRAU1Pzq03zy0hrB9D79+/BGON2UT158gTHjh2DqalpjSjoE1IbUAGIEFLrfG3nyuPHj2Fubo4PHz5IKTNBZmZm8PPzg6Ojo8AfSwkJCejTpw9ev34tcsygoCDMmTMHTZs2RfPmzcv1ToiKihI6lrOzM65cuYLbt2+X+2Pv/fv36Nq1K/r27SvSDgVSuxQUFODBgwfQ09OTyLv8//33Hw4ePIidO3fi7t27Ir+jLSphX4SoqalhyJAhCAwM5KZp3bhxA05OTtxRD1H8/vvvWLhwIUaNGsXt3Lh58yZCQkKwceNGzJs3T6zvh1TO93oVlRG2WCPs0TdAtKNqZVRVVRETE1Ph77L27dsjLy9P5JiSEBkZiezsbIEjXnv37sXKlSuRn58PR0dH/Pbbb2LvNikpKcGQIUOQlJQEMzOzcsWVmnCM59SpU5g8eXKF0/54PJ5Iz21lx/7evn2Lhg0bCvzeLi4uRl5eHmbPno2tW7eKne+nT59w6tQp7N69G+fOnYOJiQmmT5+OqVOnCvRw+paSkhIoKiri3r17EtudJWm2trYYMWIEZs+ejdzcXJiYmEBeXh6vX7/Ghg0bMGfOHGmnSEiNR2PgCSG1jpGREUJDQ8u9a3r27FmpbEf+mtTUVHTo0KHceoMGDZCfny9WTB8fH/j6+sLd3b2y6WH58uU4evQoWrdujfnz56NNmzYASnv/bN26FcXFxVi2bFml74fUPIWFhUhNTUWrVq0qNSK5zNWrV7Fr1y4cOXIE2traGDFiRKVezEja77//jsmTJwus9ejRA9HR0Vi0aJHI8fz8/LBx40aB56AFCxbA2toafn5+VACSki9HnU+aNKlS8cQp6oiiSZMmOHHiBNzc3ATWT5w4UW70ujAkNbZ91apV6NOnD1cAio+P54oJpqam+OWXX6CtrQ0vLy+RcwRKHyuXL19G37590aRJE7H6M1V1LyVnZ2dMmjQJK1asgJaWlshf/7mAgAAwxjBt2jR4e3sLFGQUFBRgYGDAFZLFxRjDp0+fUFhYCMYYNDQ0sGXLFqxYsQJBQUFC7e6UkZGBsbExsrOzJV4A+vx3jpyc+C8/o6KisHHjRgBASEgItLS0EB0djSNHjsDT05MKQIQIo7rHjhFCSGXt2rWLKSkpMU9PT3blyhV25coVtmLFCqasrMx27Ngh7fQ4pqam7Pjx44wxwfGnmzdvFnlkexlJj3NNS0tjdnZ2AqNuZWRkmJ2dncCYZ1I35Ofns2nTpjFZWVkmKyvL/VuaP38+W7NmjUixMjMz2Zo1a5iRkRHT1NRk8+fPZ3JycuzevXtVkXqFJDFWWBwqKirs0aNH5daTkpKYiopKpWJnZGSwrVu3Mnd3d4mPxyY1y+7du5msrCwbOnQoW716NVu9ejUbOnQok5OTY7t37xY5nqTGtjdv3pzdvn2bu/zzzz8za2tr7vLhw4eZqampyPmVUVVVZadPnxb76xljbM+ePdzH+vXrmYaGBhs3bhzbtGkT27RpExs3bhzT0NBgGzZsEDvHx48fVyrHL125coUVFhZKNOadO3fYvHnzWOPGjVmLFi2Yu7u7wHPT5s2bmaamptDxTp48yXr27Mni4+Mlkp8kf+cwxpiSkhJ78uQJY4yx0aNHMy8vL8YYY+np6UxJSUkiORNS11EBiBBSK/3+++9MR0eHK1oYGhqy4OBgaafFGGPM29ub5efns6CgIKajo8P++usvpqKiwg4ePMh8fHy4z8Uxbdo0tm3bNglnzFhOTg67desW+/fff1lOTo7E45OaYcGCBaxTp07s2rVrTEVFhftj/Pjx46x9+/ZCxxk6dChr2LAhGz9+PDt9+jQrKipijLFqLwB9ryA6Z84c9t9//3GXDxw4wPLy8rjLb968YXZ2diLf7/jx45m/v3+59V9++YWNHTtW5HhlLly4wJSVlZm5uTmTk5Nj7du3Z+rq6qxRo0asb9++YsclkvH333+z0aNHs27durEOHToIfIjr5s2bbMKECVycCRMmsJs3b4oU48SJE+zEiROMx+OxvXv3cpdPnDjBjh49yubNm8dat24tdLwGDRqw9PR07rK1tTXz8fHhLqempjJVVVWRcvycnp4eS0xMFPvrvzRixAj222+/lVv/7bffmIODg1gxnZycWFBQUCUzY+zt27cCn3/rQ1RlzxODBw9mx44d456HP/fq1SvG4/GEjqmurs4UFBSYjIwMU1RUZBoaGgIfopLU75wyFhYWbNOmTSw9PZ01bNiQ3bhxgzFWWgjT0tISOR4h9RH1ACKE1GqvXr2CkpISVFVVpZ0K5/NJH/v374eXlxc3XUlbWxve3t6YPn26WLHXrFmDDRs2YMiQIbCwsCjXO4GmBJFv0dfXx6FDh2BlZSXQP+fx48fo2LFjhf0uKiInJ4cFCxZgzpw5AkcF5OXlERsbCzMzs6r6FgR8rwfQl1N3vpxc8+LFC2hra4vcq8jHxwe//vorrK2tBXoAXb9+HW5ubmjYsCF3W1Eek127doWdnR28vb25701TUxMTJ07EoEGD6HiDFG3evBnLli3D1KlTsWPHDvzf//0fkpOTcfv2bcybNw++vr5Sy03SY9v19fWxb98+9O7dG4WFhVBXV8epU6fQr18/AKVHwn744Qexx9Tv3r0boaGh2L17d7mR6OKoil5Kvr6+CAgIqPTv2s+fg2RkZCo8tsYYE7mvEACsXr0a06ZN46beScLnU+oq8uUxy++R1O+cMiEhIZgwYQKKi4vRr18/nD9/HkDp30ZXr17F2bNnRYpHSH1EPYAIIbVSUVERrly5wk33AYDnz5+jYcOGUi8Gff4H+MSJEzFx4kQUFBQgLy+v0iNKd+zYAVVVVYSHhyM8PFzgOh6PRwUg8k2vXr2q8N9gfn6+SH04IiIisGvXLnTq1AmmpqaYPHkyxo0bJ8lUAXy/b8TZs2e/+eLnyxfDknrPa9euXdDQ0MD9+/dx//59bl1dXR27du3iLov6mExMTMTBgwcBlBbZ3r9/D1VVVaxatQoODg5UAJKi33//HTt27MD48eOxZ88e/PTTT+Dz+fD09BS7EJKenv7N6/X09ISKUzYNUlJj2wcPHgwPDw+sW7cOx48fh7KyMnr16sVdHxcXh1atWokdf/PmzUhOToaWlhYMDAzKFVdEGWYASL6XEgDs3LlTIr9rL126hMaNGwOA2JM/v4b9/14/X3r//j1++eUXkaaClhG1wPM9kvqdU2bUqFHo2bMnMjMz0a5dO269X79+Ik3tI6Q+owIQIaTWefLkCQYNGoT09HR8/PgRAwYMgJqaGtatW4ePHz8iMDBQ2imW+8NGWVlZIu90pqamVjoGqb86d+6Mf/75B87OzgD+9+90586dIjUhtbKygpWVFQICAnDo0CH88ccfcHV1RUlJCcLCwqCrqws1NTWx8ywoKICzszP3bnRSUhL4fD6cnZ2ho6MDDw8PAEDPnj3Fvo/KqKrHoYqKCgoLCwEALVq0QHJyMtq2bQsAYk0NJJKTnp6OHj16AACUlJTw33//AQAmT54MKysrbNmyReSYBgYG33wRLOqOEEn9u1y9ejVGjBiBH374AaqqqggODoaCggJ3/R9//FGpsfKOjo4SyPJ/vL29MWPGDFy5cgXdunUDAPz7778IDQ1FUFCQWDEl9f/yhx9+AFD6plV4eDimTZuGli1bSiS2t7c3Zs+eXe5vi4KCAnh7e4tVAAKA5ORk7N69G8nJydi0aRM0NTVx9uxZ6Onpcc9HwpLU75zPNW/eHM2bN+cuM8aQnZ0Nf39/hISEiBWTkHpFaofPCCFETA4ODmzSpEns48ePAk1gL1++zIyMjKScXWkjTnV19XJn5yt7lp6Qyrp27RpTVVVls2fPZoqKimzhwoVswIABTEVFhd25c6dSsR88eMCWLFnCmjdvzhQVFdmwYcPEjiWpvhFfNsX9sml0VlYWk5GRETm/9+/ff/W658+fixyvjIODA9fI3s3NjRkZGTEfHx/WsWNH1q9fP7HjksozNDRkUVFRjDHGOnXqxAIDAxljjJ07d07s5/OYmBiBj9u3b7MdO3YwExMTduTIEaHj3Lhxg506dUpgLTg4mBkYGLBmzZqxmTNnsg8fPoicX25uboV9ZbKzs9nHjx9FjleVJNFLqaqpqqqy1NRUicXj8Xjs5cuX5dYvXrzImjZtKlbMK1euMCUlJda/f3+moKDAPV+uWbOGjRw5UuR4Vfk7JyUlhS1fvpy1bNmSNWjQgA0ZMqRS8QipL2gHECGk1rl27Rpu3Lgh8I4kUPpu6rNnz6SUlaAvR71K0tOnT3Hy5Emkp6dzuwXKbNiwoUruk9QNPXv2RExMDNauXQsLCwucP38eHTt2RGRkJCwsLCoVu02bNvD398eaNWtw6tQp/PHHH2LHOn78ONc34vMdEm3btuX6aQnL09OTe4e8sLAQvr6+3GOzoKBArPw6duyIAwcOoH379gLrR44cwezZs/Hq1Sux4m7YsIHrV+Lt7Y28vDwcOnQIxsbG9NiWMhsbG5w8eRIdOnTA//3f/8HFxQUhISG4c+eO2EdPPj/CUqZz587Q1tbGL7/8InTcqhrb/rXfYWVHmmqSbt26Yf/+/ZWK4erqitWrV0NFRQWurq7fvK04j0cbGxuEh4fDwMBAzAxLaWhogMfjgcfjoXXr1gLPkcXFxcjLy8Ps2bPFiu3h4QEfHx+4uroK7OK0sbERa5ebpH/nfPz4ESEhIdi1axciIiJQXFyMX3/9FdOnTxfovUYI+ToqABFCap2SkpIKt8Y/ffq0UsdOJGncuHGV7vdTkYsXL8Le3h58Ph8PHjyAubk50tLSwBhDx44dJX5/pO5p1aqV2McihCErKwtHR8dKHfOQVN+I3r174+HDh9zlHj16ICUlpdxtRNWnTx9YWVnB29sb7u7uyM/Px7x583D48OFKNQP+vJm1iopKjTjOSkrt2LGD67Uzb948NGnSBDdu3IC9vT1mzZol0ftq06YNbt++LfTtY2JisHr1au7yX3/9hW7dunGPc11dXaxcuVLkApAkNW7cGElJSWjatClXwPgaUXsqSaqXUnR0ND59+sR9/jXi9K4BADs7O3h4eCA+Ph6dOnWCioqKwPX29vZCxQkICABjDNOmTSv3ZpOCggIMDAzEPl4VHx+PAwcOlFvX1NQU+xiqJH7n3L17F7t27cLBgwdhZGSEyZMn4+DBg2jZsiUGDhxIxR9CREAFIEJIrWNra4uAgADs2LEDQOkfY3l5eVi5ciUGDx4s5ezE/+NQGEuXLsXixYu5KUFHjhwRmBJEyPcUFxfj2LFjSExMBACYmZnBwcGhwibL0iKpvhFXrlypivTw+++/Y8iQIZgxYwZOnz6NzMxMqKqq4tatWzA3Nxc7bkZGBng8Htcj5NatWzhw4ADMzMzw448/Sip9IgYZGRlu2hZQWuSvbOPzLycgMcaQmZkJLy8vgel63/PmzRtoaWlxl8PDw2FnZ8dd7tKlCzIyMiqVa2Vt3LiRe4Nm48aNEv09KaleSp83aZZ0w2YAmDt3LoCKdw+JMgWsrFGzoaEhevToUa6JdmWoq6sjMzMThoaGAuvR0dFiTRs7c+YMZGVlMXDgQIH1c+fOoaSkRODf6bd069YNzs7OuHnzJtq0aSNyHoSQz0j5CBohhIgsIyODmZmZMVNTUyYnJ8esrKxYkyZNWJs2bQT6fUjLl31HJElVVZU9fvyYMcaYuro6S0hIYIyV9pLQ19evkvskdUdCQgLj8/lMWVmZ65WhoqLCDAwMWHx8vLTT41Rl3whJKS4uZnPnzmU8Ho/Jy8uz0NDQSsfs2bMn27t3L2OMsczMTKampsa6d+/OmjZtyry9vSsdn4jv7Nmz7Nq1a9zlLVu2sHbt2rHx48eznJwcsWLyeDwmIyMj8MHj8Zienh67ceOG0HH09PRYeHg4Y4yxjx8/MiUlJXbhwgXu+ri4uDrdd05SvZS+5e3bt+zYsWMsMTFRIvEqk8fnn3/rQxxubm6sZ8+e3PPPo0ePWEREBOPz+czLy0vkeBYWFuyff/4pt3727FlmaWkpdBxbW1umpqbGJkyYwM6ePctKSkoYY4zJycmxe/fuiZwXIfUZFYAIIbXSp0+f2J9//smWLFnC5syZw4KCglhBQYG006pyWlpa7P79+4wxxkxNTdmJEycYY6V/AKuoqEgzNVILWFlZsWHDhgm8YM3JyWH29vase/fuUsysvMePH7MZM2awLl26MFNTUzZx4kQWFxcn7bQYY6W5de3alenp6bHz58+zZcuWMQUFBbZkyRJWWFgodlx1dXX24MEDxhhjmzZtYj169GCMlTYaNjQ0lEjuRDzm5ubcC9m4uDimoKDAli5dyqysrNjUqVPFinnlyhWBj6tXr7LExET26dMnkeLMnj2bde/enV29epW5urqyJk2aCDRp/vPPP1nnzp3FyrEq3L17V+CxfPz4cebg4MCWLl0q0ebSp0+fZj/88INYXzt69Gj222+/McYYKygoYMbGxkxeXp7JycmxkJAQieUoKhkZGe4NpooKiGVFRHGa2zNWWkCcMWMGk5OT44rbMjIybNKkSRU2BP8eRUXFChtfp6amMmVlZZFipaenM29vb2ZgYMC0tLTYggULmJycHPc3ESFEODzGGJP2LiRCCBHF1atX0aNHj3JHVoqKinDjxg2xenrUFo6OjhgyZAhmzpyJxYsX48SJE5g6dSqOHj0KDQ0NXLhwQdopkhpMSUkJd+7cKTfKNyEhAV26dMH79++llFntoqamhiFDhiAwMBDq6uoAgBs3bsDJyQlqamrf7B/yLaqqqkhISICBgQHs7e1hbW0Nd3d3pKeno02bNvTzkaLPfzZeXl5ISEhASEgIoqKiMHjwYGRlZYkcU1K/y16/fo0RI0YgIiKCG9s+fPhw7vp+/frBysqqUv2pJKlLly7w8PDAyJEjkZKSAjMzM4wYMQK3b9/GkCFDEBAQIJH7efz4Mdq1a4f8/HyRv7Z58+Y4d+4c2rVrhwMHDmDlypWIjY1FcHAwduzYIfZjPD8/H+Hh4RUOcViwYMF3vz48PBzW1taQk5NDeHj4N29bNoJeHOnp6UhISEBeXh46dOgg0pHEzzVv3hwHDhyAjY2NwPqFCxcwYcIEvHz5Uqy4YWFh2L17N44dOwZdXV2MGjUKo0aNol6IhAhD2hUoQggR1efvgH3u9evXYr/rVVskJyez2NhYxhhjeXl5bNasWczCwoKNGDGCpaWlSTk7UtNZWlqyixcvllu/ePEiMzc3l0JGFfvnn38qPFIVGhrKzpw5I4WMBJUd0/rSu3fv2LRp08SO27VrV+bu7s6uXr3KFBUVWUxMDGOMscjISKajoyN2XFJ5Ghoa3FETa2trtn37dsZY6U4GJSUlsWJK+ndZbRnb3rBhQ+4o89q1a5mtrS1jjLGIiAjWsmVLkeN9efQpNzeXJSYmsrFjx7J27dqJlaOioiJLT09njDE2efJk5u7uzhhj7MmTJ2Lvto2KimLNmzdnDRs2ZLKysqxZs2aMx+MxFRUVkXf4ffr0iXl7e7OMjAyxchFGSUkJd9RKXD/++COzsLDgft6MMfbo0SNmaWnJpk+fXtkUWU5ODtu8eTNr3759nf/7jxBJoQIQIaTW4fF47OXLl+XWHz58yNTU1KSQESG1wz///MPatm3L/v77b5aRkcEyMjLY33//zfVpqGz/CEmRVN+I2uby5ctMXV2dycjIsP/7v//j1pcuXcqGDx8uxczIsGHD2MCBA9mqVauYvLw8e/r0KWOs9HiesbGxWDHr6+8yNTU1lpSUxBhjrH///iwgIIAxVlpcUVRUFDmepHopfc7Y2JgdOnSI5eXlsWbNmnGF85iYGNakSROxYv7www9s5syZrLi4mKmqqrLk5GSWnp7OevfuLVavIlVV1QqPV1XWzp07Wdu2bZmCggJTUFBgbdu2ZUFBQWLFys3NZVZWVkxOTo4ZGBgwAwMDJicnx/r27cvevHkj0bzv3r0r0XiE1FU1Z+QHIYR8x4gRIwCUTsuYOnUqGjRowF1XXFyMuLg49OjRQ1rpVQs+n4/bt2+jSZMmAuu5ubno2LFjuRHXhHxu6NChAIAxY8ZwU3PY/z8JPmzYMO6yKBNpqsKjR49gZmZWbt3ExASPHz8WOV5oaChUVVXRs2dPAMDWrVsRFBQEMzMzbN26FRoaGkLFmTt3Lvz9/aGqqgoAOHjwIOzt7blxzrm5uZgwYQLOnDkjco5A6Xj5169f4927dwI5/fjjj1BWVuYuX79+HZ07dxZ4DiRVa8uWLZg7dy5CQkKwbds2biLS2bNnRZ7AWN9/l3Xu3Bk+Pj7o378/wsPDsW3bNgBAamqqwDQzYX05sUtGRgbNmjWDkZGR2NMNFy1ahIkTJ0JVVRX6+vro06cPgNJjexYWFmLFjImJwfbt2yEjIwNZWVl8/PgRfD4f/v7+mDJlCvfvQlg2NjYIDw+HgYGBWPlUxNPTExs2bICzszM3cTEyMhIuLi5IT0/HqlWrRIrXqFEj3LhxA2FhYYiNjYWSkhIsLS2r5Kg+Hf8iRDhUACKE1BqNGjUCUPoCVU1NDUpKStx1CgoKsLKywsyZM6WVXrVIS0ur8IX5x48f8ezZMylkRGqTqhhtXBUaNWqElJSUci9sHj9+zBVbRLFkyRKsW7cOABAfHw83Nze4urri8uXLcHV1xe7du4WKs337dnh5eXEFoFmzZqFbt27g8/kASh+H586dEzm/z8nKypYrSH35/8HOzg4xMTHc/ZKqp6enh9OnT5db37hxo8DltWvXYvbs2VxvqIrU999lAQEBmDhxIo4fP45ly5bByMgIABASEiJW4YvH4321l9LVq1fFKjbMnTsX3bp1Q3p6OgYMGAAZGRkApW/C+Pj4iBwPAOTl5bk4mpqaSE9Ph6mpKRo1aoSMjAyR49nZ2cHDwwPx8fHo1KlTuedGe3t7kWNu27YNQUFBGD9+vEAcS0tLODs7i1wAAkp/Pra2trC1tRX5awkhkkdNoAkhtY63tzcWL14s1gvB2urkyZMASptABwcHcy8ggNJ3jC9evIiwsDA8fPhQWikSIjGzZs1CZGQkjh07hlatWgEoLf6MHDkSXbp0wc6dO0WKJ6kGvjIyMsjKyoKmpiaA0mbQsbGxXCHmxYsX0NbWrvLdU1/eL6k5GjZsKHRx7qeffoKXlxe3uystLQ3Hjx+HqakpBg4cWNWp1jgfPnyArKws5OXlAZTfYfc1srKyyMzM5B6XZbKzs6GpqVmlj0dRft62traYOnUqJkyYgJkzZyIuLg4LFizAvn378ObNG/z7778i3XdZMaki4u7iVFdXx+3bt8s1fU5KSkLXrl2Rm5srcsyLFy/i4sWLePnyJUpKSgSu++OPP0SORwipHNoBRAipdVauXAkAePXqFVfwaNOmDZo1aybNtKqUo6MjgNI/6qZMmSJwnby8PAwMDLB+/XopZEZqm9zcXOzatQuJiYkAgLZt22LatGkCRUVp8/f3x6BBg2BiYoKWLVsCAJ4+fYpevXrh119/FTmegoICCgoKAJROn3FycgIANG7cGO/evZNc4qTeE+V91ejoaOzduxezZ89Gbm4urKysIC8vj9evX2PDhg2YM2dOFWZa8ygqKgpc/nKH3deUHVv9UnZ2dpW/USTKz9vPzw///fcfAMDX1xdOTk6YM2cOjI2NxSqEfFlMkYTJkydj27Zt2LBhg8D6jh07MHHiRJHjeXt7Y9WqVejcuTNatGhR4c+JEFK9qABECKl1CgoKMH/+fOzdu5f7A0hWVhZOTk747bffBHpl1BVl36ehoSFu376Npk2bSjkjUhvduXMHAwcOhJKSErp27QoA2LBhA3x9fXH+/Pka00NB0n0jrK2t4erqCmtra9y6dQuHDh0CUPqudlmBiZDqFh0dzY08DwkJgZaWFqKjo3HkyBF4enrWuwLQl75XXKltvZQ6d+7Mfa6pqYnQ0FApZvM/rq6u3Oc8Hg87d+7E+fPnYWVlBQD4999/kZ6ezhXORREYGIg9e/Zg8uTJEsu3jDDHLQkh5VEBiBBS67i4uCA8PBynTp2CtbU1ACAiIgILFiyAm5sb11CyLomMjER2djZSU1O5tb1792LlypXIz8+Ho6MjfvvtN2oKS77JxcUF9vb2CAoK4vplFBUVYcaMGVi0aBGuXr0q5Qz/R5J9I7Zu3Yp58+ZJpIGvp6cnV2QuLCyEr68vt3uqbJcRIcIoKCiAmpoaAOD8+fMYMWIEZGRkYGVlhSdPnkg5u5qvvvdSAoD8/HyEh4cjPT0dhYWFAtctWLBAqBjR0dEClzt16gQASE5OBgA0bdoUTZs2xb1790TOr7CwsMqKcH5+fhgzZgwVgAgREfUAIoTUOk2bNkVISAg3laPM5cuXMWbMGLx69Uo6iVWhQYMGoW/fvnB3dwdQ2si2Y8eOmDp1KkxNTfHLL79g1qxZ8PLykm6ipEZTUlJCdHQ0TExMBNbv37+Pzp0716gChqT6RhQVFeHAgQOwtbVF8+bNK5VTnz59hDrCUNXNtkXpO0Kqlyj9mSwtLTFjxgwMHz4c5ubmCA0NRffu3XH37l0MGTJE6N5UdZWw/y+l2Uvpezl26NBB6GNPUVFRIt13dHQ0Bg8ejIKCAuTn56Nx48Z4/fo1lJWVoampWSOmgrq7u0NVVRUrVqyQeGzqhUaIeGgHECGk1ikoKKhwVKympmaNegErSbGxsQKTR/766y9069YNQUFBAABdXV2sXLmSCkDkmxo2bIj09PRyBaCMjAxuJ0JNIMm+EXJycpg9ezbX86gyrly5UukYkkDv3dUNnp6emDBhAlxcXNCvXz9u7Pb58+fRoUMHKWdXe0izl9L3npvK+vdVBRcXFwwbNgyBgYFo1KgRbt68CXl5eUyaNAkLFy6ssvsVxYcPH7Bjxw5cuHABlpaWXIPvMl/2GiKEVD0qABFCap3u3btj5cqV2Lt3L9c08v379/D29ub+gK5r3rx5I1D0Cg8Ph52dHXe5S5cuYo2RJfXL2LFjMX36dPz666/ctvzr169jyZIlAmN/pU3SfSO6du2K6Oho6OvrSyReVbGxscHRo0fLHWl49+4dHB0dcenSJQDgGsmSmqdXr14CR5G+ZdSoUejZsycyMzPRrl07br1fv34YPnx4VaVY50izl9L3irFlQyuqQkxMDLZv3w4ZGRnIysri48eP4PP58Pf3x5QpU7geSaL48OEDfvvtN1y+fLnC3Zei7lKKi4tD+/btAQAJCQkC11W2IfT9+/ehra1dqRiE1EdUACKE1DoBAQEYNGgQWrZsyf3RHBsbC0VFRZw7d07K2VUNLS0tpKamQldXF4WFhYiKioK3tzd3/X///VfunTVCvvTrr7+Cx+PByckJRUVFAEqnyM2ZMwdr166Vcnb/I+m+EXPnzoWbmxuePn2KTp06lZsMZGlpKbH7qowrV66U6+MBlL4ou3btmhQyqt9EmRDXsGFDAMCZM2dEuo/mzZuXO5pY1qC9vtPX1xfq95o0eymdPXuW6ylW3eTl5blR8JqamkhPT4epqSkaNWok9htC06dPx/nz5zFq1Ch07dq10kWaqjwOq6urW2WxCanLqAcQIaRWKigowP79+/HgwQMAgKmpKSZOnCj0O6+1zZw5cxAbG4t169bh+PHjCA4OxvPnz6GgoAAA2L9/PwICAnD79m0pZ0pqquLiYly/fh0WFhZo0KAB1+CzVatWNW5ynqT7RpS9SPocj8fjxkcXFxdL5H7EFRcXBwBo3749Ll26hMaNG3PXFRcXIzQ0FNu3b0daWpqUMqyfZGRkhH4BLO1/Q/WZpHopfT4N63uEPbrUuHFjJCUloWnTptDQ0Pjmv6ecnByh7x8AbG1tMXXqVEyYMAEzZ85EXFwcFixYgH379uHNmzf4999/RYoHlDbWPnPmDDdgQ1IeP36M5ORk9O7dG0pKStxzLyGk+tEOIEJIrfLp0yeYmJjg9OnTdX66x+dWr16NESNG4IcffoCqqiqCg4O54g9Q2hRXEtOSSN0lKysLW1tbJCYmwtDQEBYWFtJO6ask3Tfi8+l5NVH79u3B4/HA4/FgY2NT7nolJSX89ttvUsisfvt890JaWho8PDwwdepU7qhxZGQkgoODsWbNGmmlWGt8r/jxOVELIZLqpfTlNKyvEaVwsXHjRm53UtkxNUnx8/PjjoP6+vrCyckJc+bMgbGxsUiN8j+no6Mj0X5w2dnZGDNmDC5fvgwej4dHjx6Bz+dj+vTp0NDQwPr16yV2X4QQ4dAOIEJIraOjo4MLFy7A1NRU2qlUu7dv30JVVRWysrIC6zk5OVBVVRUoChHypc6dO2PdunXo16+ftFP5pr59+371Oh6Px/XCqSuePHkCxhj4fD5u3bqFZs2acdcpKChAU1Oz3GOeVK9+/fphxowZ5XplHThwADt27KgxDcJrquDgYKFvO2XKFJHjZ2Vlcb2Uynb83bp1Cw0bNizX9J583dmzZ7F582YEBgZKpGeak5MTXr58iZ07d8LU1JSb2nXu3Dm4urqKNVqeEFI5VAAihNQ6fn5+SEpKws6dOyEnRxsZCRFWaGgoli5ditWrV1fYC6esj0lddf/+faSnp5frs2Nvby9SnNDQUKiqqqJnz54AgK1btyIoKAhmZmbYunUrNDQ0JJYzqRmUlZURGxsLY2NjgfWkpCS0b9++zk6gJJL38uXLChss14ReZK9evcKYMWNw9epVKCsrl9t9KerurObNm+PcuXNo166dwNj2lJQUWFpaIi8vT6w8CwsLkZqailatWtHfgYSIiB4xhJBa5/bt27h48SLOnz8PCwuLci9ijx49KqXMCKnZBg8eDKC04PH5MYaa0gvnS5LqG5GSkoLhw4cjPj6e6/0D/O8oh6jf95IlS7Bu3ToAQHx8PNzc3ODq6orLly/D1dUVu3fvFjnHMo8ePfrqBB5PT0+x45LK0dXVRVBQEPz9/QXWd+7cSc1oK+HDhw/lCrI1pRB9584dHD58uMKisTh/Z9y9exdTpkxBYmJiuelhwj7/dujQQejnQFEndgHA+PHj8ezZM/j5+UFLS6vSfXry8/Mr7DGXk5ODBg0aiByvoKAAzs7O3I6ypKQk8Pl8ODs7Q0dHBx4eHpXKl5D6gApAhJBaR11dHSNHjpR2GoTUOlU5kUWSJN03YuHChTA0NMTFixdhaGiIW7duITs7G25ubvj1119Fzi81NRVmZmYAgCNHjmDo0KHw8/NDVFQUV2QTR1BQEObMmYOmTZuiefPmAi++eDweFYCkaOPGjRg5ciTOnj2Lbt26ASg9YvTo0SMcOXJEytnVLvn5+XB3d8fhw4eRnZ1d7vqaUIj+66+/4OTkhIEDB+L8+fOwtbVFUlISXrx4geHDh4sVc9q0aWjdujV27doldnHF0dFRrPsW1o0bNxAZGclNWK2sXr16Ye/evVi9ejWA0uexkpIS+Pv7f/Oo79csXboUsbGxuHLlCgYNGsSt9+/fH15eXlQAIkQYjBBCCCGkBpk8eTIbOHAgy8jIYKqqqiw5OZkxxlhoaCgzMzMTOV6TJk1YbGwsY4yxhg0bsgcPHjDGGLt48SJr3769yPE0NDTYvXv3GGOMWVtbs+3btzPGGEtNTWVKSkoixyujp6fH1q5dK/bXk6qVnp7Oli5dyoYPH86GDx/Ofv75Z5aeni7ttGqduXPnMlNTUxYSEsKUlJTYH3/8wVavXs1atmzJ/vzzT2mnxxhjzMLCgm3ZsoUxxrjnoJKSEjZz5kzm6ekpVkxVVVX26NEjSaYpcR06dGCRkZESixcfH880NTXZoEGDmIKCAhs1ahQzNTVlWlpa7PHjxyLH09PT4/L7/HfDo0ePmJqamsTyJqQuox1AhJBao6SkBL/88gtOnjyJwsJC9OvXDytXrqyzo98JkbSrV69+8/revXtXUybfdv78eZw7dw4tW7YUWDc2NsaTJ09EjldcXMxNtmnatCmeP3+ONm3aQF9fHw8fPhQ5nrW1NVxdXWFtbY1bt27h0KFDAEqPI3yZsyjevHmD0aNHi/31pGrp6urCz89P2mnUeqdOncLevXvRp08f/N///R969eoFIyMj6OvrY//+/Zg4caK0U0RycjKGDBkCoLQRe35+Png8HlxcXGBjYwNvb2+RY/br1w+xsbEwMjKSdLoSs3btWri5ucHX1xcWFhblegCJejzP3NwcSUlJ2LJlC9TU1JCXl4cRI0Zg3rx5aNGihcj5vXr1CpqamuXWy34+hJDvowIQIaTW8PX1hZeXF/r37w8lJSVs2rQJL1++FHvcKSH1TZ8+fcqtff5Hc004egFIvm+Eubk5YmNjYWhoiG7dusHf3x8KCgrYsWMH+Hy+yPG2bt2KefPmISQkBNu2bYOOjg6A0gk6nx9LENXo0aNx/vx5zJ49W+wYpOpcu3YN27dvR0pKCv7++2/o6Ohg3759MDQ05BqCk+/LycnhHncNGzbkGgv37NkTc+bMkWZqHA0NDW7Euo6ODhISEmBhYYHc3FyxG37v3LkTU6ZMQUJCAszNzcsVV4RpRt+4cWMkJSWhadOm0NDQ+GbRQ9SGzQC4568vJ0WySvSJa9SoEZYtWyby11Wkc+fO+Oeff+Ds7Azgf7+/du7cie7du0vkPgip66gARAipNfbu3Yvff/8ds2bNAgBcuHABQ4YMwc6dO7mxr4SQr3vz5o3A5U+fPiE6OhorVqyAr6+vlLIqT9J9I5YvX478/HwAwKpVqzB06FD06tULTZo04XbvCKuoqAhXrlxBUFAQmjdvLnDdxo0bRc7tc0ZGRlixYgVu3rxZ4bvvCxYsqFR8Ir4jR45g8uTJmDhxIqKiovDx40cAwNu3b+Hn54czZ85IOcPag8/nIzU1FXp6ejAxMcHhw4fRtWtXnDp1Curq6tJOD0DpbsiwsDBYWFhg9OjRWLhwIS5duoSwsLByxRFhRUZG4vr16zh79my564QtrmzcuJHbzRgQECBWHt8iiT5xcXFxQt9W1Mlnfn5+sLOzw/3791FUVIRNmzbh/v37uHHjBsLDw0VNlZB6icbAE0JqjQYNGuDx48cCE1cUFRXx+PHjSh27IKS+Cw8Ph6urK+7evSvtVAAACQkJ6NevHzp27IhLly7B3t4e9+7dQ05ODq5fv45WrVpV+j5ycnK++w761ygrKyMxMRH6+vqVzuNzhoaGX72Ox+MhJSVFovdHhNehQwe4uLjAyclJYJx1dHQ07OzskJWVJe0Ua42NGzdCVlYWCxYswIULFzBs2DAwxvDp0yds2LABCxculHaKyMnJwYcPH6Ctrc0Vn2/cuAFjY2MsX74cGhoaIsc0MDDA0KFDsWLFCmhpaVVB1jWDjIwMN23xy2mTQOV3nSYnJ2Pt2rWIjY1FXl4eOnbsCHd3d1hYWFQ+eULqASoAEUJqDVlZWWRlZaFZs2bcmpqaGuLi4r75wokQ8m0PHjxA586dkZeXJ+1UOG/fvsWWLVsE/sgXt29EGUmNle/Tpw8WLVpU5RN5SM2hrKyM+/fvw8DAQKAAlJKSAjMzM3z48EHaKdZaT548wd27d2FkZCTyjpCqUFRUhAMHDmDgwIESLdSoqakhJiZGIgXsz718+RIvX75ESUmJwLo4/y8l0Sfu8z5t0dHRWLx4MZYsWcId0YqMjMT69evh7+9Pz6GESAEdASOE1BqMMUydOlWgB8iHDx8we/ZsqKiocGtHjx6VRnqE1Hhfbs1njCEzMxNr165F+/btpZPUV0iyb4Skx8rPnTsXbm5uePr0KTp16iTw/AOI98Lrc4WFhUhNTUWrVq0gJ0d/qtUEzZs3x+PHj2FgYCCwHhERIVYfKfI/+vr6Et9NVxlycnKYPXs2EhMTJRp3xIgRuHz5ssQKQHfv3sWUKVOQmJiIL9/PF7dfjyT6xH3+sxw9ejQ2b96MwYMHc2uWlpbQ1dXFihUrRC4AnTlzBrKyshg4cKDA+rlz51BSUgI7OzuR4hFSH9FfFYSQWmPKlCnl1iZNmiSFTAipndq3b89tzf+clZWV1Jupx8XFwdzcHDIyMt/tISFqgcXFxQXy8vJIT0+Hqakptz527Fi4urqKXAAaN24cAMGePJ8feRC3mXZBQQGcnZ0RHBwMoHSqGJ/Ph7OzM3R0dODh4SFWXFJ5M2fOxMKFC/HHH3+Ax+Ph+fPniIyMxOLFi7FixQppp1frXLx4ERcvXqxw54q0n4sAoGvXroiJiZFoYap169ZYunQpIiIiJNLja9q0aWjdujV27doFLS0tiUzBknSfuPj4+Ap3aBsaGuL+/fsix/Pw8MDatWvLrTPG4OHhQQUgQoRAR8AIIYSQeuLLEeoyMjJo1qwZFBUVpZSRYC5ZWVnQ1NQU6CHxJXEKLM2bN8e5c+fQrl27csd3LC0tRT769r1R9OK+aFy4cCGuX7+OgIAADBo0CHFxceDz+Thx4gS8vLwQHR0tVlxSeYwx+Pn5Yc2aNdwUqAYNGmDx4sVcs3IiHG9vb6xatQqdO3dGixYtyhUujh07JqXM/ufw4cNYunQpXFxcJLbLT9I9vtTU1BAdHV0tY+XF7RPXsWNHmJubY+fOnVBQUABQusNxxowZSEhIQFRUlEjxlJSUkJiYWG4nXlpaGtq2bcs1+yeEfB3tACKEEELqiZp0zOJLqampXH+v1NRUicaW9Fj5qvr/ePz4cRw6dAhWVlYCL4rbtm2L5OTkKrlPIhwej4dly5ZhyZIlePz4MfLy8mBmZgZVVVVpp1brBAYGYs+ePZg8ebK0U/mqqtjlJ+nntX79+iE2NrZaCkBaWlp4+PChyF8XGBiIYcOGoWXLllzRLC4uDjweD6dOnRI5XqNGjZCSklKuAPT48eNyRTpCSMWoAEQIIYTUcYMHD8bBgwfRqFEjAMDatWsxe/ZsbuRydnY2evXqJdaWfEkpK6p8+vQJ3t7eWLFiRaWbuz9//hza2toSHytf5v79+0hPT0dhYaHAur29vVjxXr16BU1NzXLr+fn5EjneQcQ3bdo0bNq0CWpqajAzM+PW8/Pz4ezsXCOOLdUWhYWF6NGjh7TT+CZJF2uqws6dOzFlyhQkJCTA3Ny83JEycZ6HJN0nrmvXrkhJScH+/fvx4MEDAKVHbydMmCBWwcbBwQGLFi3CsWPHuF5Kjx8/hpubm9jPu4TUN3QEjBBCCKnjZGVlkZmZyRUXGjZsiJiYGK557YsXL6CtrS127xpJa9SoEWJiYipdANLQ0MDWrVvRrl072NjYSGysfEpKCoYPH474+HiBo2plRRpx/z/27t0bo0ePhrOzs8CEQ2dnZzx69AihoaFixSWV9+VjqMzr16/RvHlzFBUVSSmz2sfd3R2qqqr1oneSq6srVq9eDRUVFbi6un7zths2bBAp9qlTpzB58mS8e/eu3HXi7lL62vHbsj5xJiYmIseUpLdv32LQoEG4c+cOWrZsCQB4+vQpevXqhaNHj3JvahBCvo52ABFCCCF13Jd/zNf0934cHR1x/PhxuLi4VCqOr68vZs2ahUGDBuH+/fsIDAyEmpoa8vLyMGLECLHHyi9cuBCGhoa4ePEiDA0NcevWLWRnZ8PNzQ2//vqr2Pn6+fnBzs4O9+/fR1FRETZt2oT79+/jxo0bCA8PFzsuEd+7d+/AGANjDP/9959Av6zi4mKcOXOmwl1b5Os+fPiAHTt24MKFC7C0tCy3c0XUQkhV2bdvHwIDA5GamorIyEjo6+sjICAAhoaGcHBwECpGdHQ0Pn36xH3+NeLs8HN2dsakSZOwYsUKiY2r/3Lnkzh94k6ePAk7OzvIy8vj5MmT37ytqLt2GjVqhBs3biAsLAyxsbFQUlKCpaWlUOPpCSGlaAcQIYQQUsd93mAZgEAjZKDm7QDy8fHB+vXr0a9fvwobsIoyLSc1NRXTp0/H/fv3sWPHDokcE2jatCkuXboES0tLNGrUCLdu3UKbNm1w6dIluLm5VapZc0pKCtasWYPY2Fjk5eWhY8eOcHd3h4WFRaXzJqIr2xHxNTweD97e3li2bFk1ZlW7fevYJY/Hw6VLl6oxm4pt27YNnp6eWLRoEXx9fZGQkAA+n489e/YgODgYly9flnaKUFNTQ0xMjMTGypep7IS2Lxv6f01lJiYSQsRHBSBCCCGkjpOVlUVWVhbXZPnz40VAzSsASXpaDgBs2bIFLi4uMDU1hZyc4AZoUSfRaGhoICoqCoaGhmjVqhV27tyJvn37Ijk5GRYWFtyUKFF8+vQJs2bNkkjvIyI54eHhYIzBxsYGR44cQePGjbnrFBQUoK+vD21tbSlmSKqCmZkZ/Pz84OjoKFAwT0hIQJ8+ffD69etK38e7d+9w6dIlmJiYiHW0asqUKejVqxdmzJhR6VzK1IYJbZUtUBFS39ERMEIIIaSOY4xh6tSp3MSrDx8+YPbs2dzOmo8fP0ozvXIk3YD1yZMnOHr0KDQ0NODg4FCuACQqc3NzxMbGwtDQEN26dYO/vz8UFBSwY8cObleVqOTl5XHkyJF60RelNvnhhx8AlP6b1NPTo2bcEvb06VMA4Pq51BSpqano0KFDufUGDRqIPWp8zJgx6N27N+bPn4/379+jc+fOSEtLA2MMf/31F0aOHClSvNatW2Pp0qWIiIiAhYVFuaN0ouyULFMdE9pyc3PF7tXzvQIVIeT7qABECCGE1HFTpkwRuDxp0qRyt3FycqqudIRWWFiI1NRUtGrVSuyiTVBQENzc3NC/f3/cu3eP2wVVGcuXL+deBK5atQpDhw5Fr1690KRJExw6dEjsuJLqfUQk79KlS1BVVcXo0aMF1v/++28UFBSUe4yRryspKeGOeebl5QEo3ZXo5uaGZcuWffPYUHUxNDRETEwMN52wTGhoKExNTcWKefXqVe6o4LFjx8AYQ25uLoKDg+Hj4yNyAWjnzp1QVVVFeHh4uR5hPB5PrAKQpCe0rVu3DgYGBhg7diwAYPTo0Thy5AhatGiBM2fOoF27diLFq44CFSF1HRWACCGEkDpu9+7d0k5BJAUFBXB2dkZwcDAAICkpCXw+H87OztDR0YGHh4dQcQYNGoRbt25hy5YtEi1wDRw4kPvcyMgIDx48QE5ODjQ0NCr1jrSxsTFWrVqF69evV7r3EZGsNWvWYPv27eXWNTU18eOPP1IBSATLli3Drl27sHbtWlhbWwMAIiIi4OXlhQ8fPsDX11fKGZZO75o3bx4+fPgAxhhu3bqFgwcPYs2aNdi5c6dYMd++fcsdIQwNDcXIkSOhrKyMIUOGYMmSJSLHq4pR9TNmzMCBAwckthMxMDAQ+/fvBwCEhYXhwoULCA0NxeHDh7FkyRKcP39epHiSLlARUh9RAYgQQgghNcrSpUsRGxuLK1euYNCgQdx6//794eXlJXQBqLi4GHFxcVV2vOTx48dITk5G79690bhx40pPV9u1axfU1dVx9+5d3L17V+A6cd/RJ5KRnp5eYW8mfX19pKenSyGj2is4OBg7d+4UaMhuaWkJHR0dzJ07t0YUgGbMmAElJSUsX74cBQUFmDBhArS1tbFp0yaMGzdOrJi6urqIjIxE48aNERoair/++gsA8ObNG5GmbFUlSU9oy8rKgq6uLgDg9OnTGDNmDGxtbWFgYIBu3bqJnJ+kC1SE1EdUACKEEEJIjXL8+HEcOnQIVlZWAjtq2rZti+TkZKHjhIWFVUV6yM7OxpgxY3D58mXweDw8evQIfD4f06dPh4aGBtavXy9yTMYYrly5Ak1NTSgpKVVB1qQyNDU1ERcXBwMDA4H12NhYNGnSRDpJ1VI5OTkVNj02MTFBTk6OFDKq2MSJEzFx4kQUFBQgLy+Pm6IorkWLFmHixIlQVVWFvr4++vTpA6D0aJiwU/5cXV2xevVqqKiowNXV9Zu3FbVYAwBxcXFo3749ACAhIUHgOnF2N2poaCAjIwO6uroIDQ2Fj48PgNLnO3GGDki6QEVIfUQFIEIIIYTUKK9evarwxVZ+fn6NaPrp4uICeXl5pKenC/QDGTt2LFxdXcUuABkbG+PevXswNjaWZLpEAsaPH48FCxZATU0NvXv3BlA6IWzhwoVi7wipr9q1a4ctW7Zg8+bNAutbtmwRuSdMdVBWVoaysnKl48ydOxfdunVDeno6BgwYwPU64vP5XGHke6Kjo/Hp0yfu868R93lS0uPtR4wYgQkTJsDY2BjZ2dmws7MDUJq7kZGRyPEkXaAipD6iMfCEEEIIqVF69+6N0aNHw9nZWWBkvbOzMx49eoTQ0FCp5te8eXOcO3cO7dq1ExgRnZKSAktLS66xrajatm2LXbt2wcrKSsIZk8oqLCzE5MmT8ffff3MNyUtKSuDk5ITAwEAoKChIOcPaIzw8HEOGDIGenh66d+8OAIiMjERGRgbOnDmDXr16STlD4MWLF1i8eDE3bvzLl0vi7F4RVsOGDRETEyP2RMGa5NOnT9i0aRMyMjIwdepUbrLaxo0boaamJtER9oQQ4VABiBBCCCE1SkREBOzs7DBp0iTs2bMHs2bNwv3793Hjxg2Eh4ejU6dOUs1PTU0NUVFRMDY2FigA3blzBwMHDkR2drZYcU+dOgV/f39s27YN5ubmEs6aSEJSUhJiY2OhpKQECwuLclOiiHCeP3+OrVu34sGDBwAAU1NTzJ07F9ra2lLOrJSdnR3S09Mxf/78CseNOzg4VNl9f/6cIop3797h0qVLMDExqfCIXV3yef81JSUlMMZoBxAhQqICECGEEEJqnOTkZKxduxaxsbHIy8tDx44d4e7uLnSvjKrw/PlzaGtrY/DgwejUqRNWr17N7VDS19fHuHHjUFJSgpCQELHia2hooKCgAEVFRVBQUCjXC6gm9UeprwoLC5GamopWrVpxO4FI3aOmpoZr165xx42q+76FKQCNGTMGvXv3xvz58/H+/Xu0a9cOaWlpYIzhr7/+EnmsfFXZt28ftm/fjpSUFERGRkJfXx8BAQEwNDQUuZD2tf5r06ZNE7v/GiH1Df3mIoQQQkiN06pVKwQFBUk7DQFt27bF1q1b8csvv8DGxgZ37txBYWEhfvrpJ9y7dw85OTm4fv262PEDAgIklyyRqIKCAjg7OyM4OBhA6U4gPp8PZ2dn6OjoCD2Zrr6Ki4uDubk5ZGRkEBcX983bWlpaVlNWX6erq1vpqX5V7erVq1i2bBkA4NixY2CMITc3F8HBwfDx8akRBaBt27bB09MTixYtgq+vL3d0Tl1dHQEBASIXgKqi/xoh9Q3tACKEEEJIjVNcXIxjx44hMTERAGBmZgYHBwep7rr4/fff4e7ujkGDBiEwMBCBgYECO5TmzZuHFi1aSC0/UnUWLlyI69evIyAgAIMGDUJcXBz4fD5OnDgBLy+vbzbkJYCMjAyysrKgqakJGRkZ8Hi8CgssPB6vSvvrCOv8+fNYv349tm/fXm7yW1UTdgeQkpISkpKSoKurCycnJ2hra2Pt2rVIT0+HmZmZ2L3IJMnMzAx+fn5wdHQU+L4SEhLQp08fvH79WqR4VdV/jZD6hHYAEUIIIaRGuXfvHuzt7ZGVlYU2bdoAANatW4dmzZrh1KlTUuuPM3fuXNjZ2WH69Olo27YtduzYwb0DLwnp6enfvF5PT09i90VEc/z4cRw6dAhWVlYCvUbatm2L5ORkKWZWO6SmpqJZs2bc5zXd2LFjUVBQgFatWkFZWbncuPGqPI4pbC8bXV1dREZGonHjxggNDcVff/0FAHjz5g0UFRWrLD9RpKamco2fP9egQQPk5+eLHC8/P7/CiWw5OTlo0KCBWDkSUt9QAYgQQgghNcqMGTPQtm1b3LlzBxoaGgBKX9RMnToVP/74I27cuCG13AwNDXHp0iVs2bIFI0eOhKmpabldSVFRUWLFNjAw+OaLv5qwM6K+evXqFTQ1Ncut5+fnU/NZIXzeLLs2NM6W5nFMYQ9nLFq0CBMnToSqqir09fXRp08fAKVHw6TZK+1zhoaGiImJKfczDw0NFTjCJaxevXph7969WL16NYDSYllJSQn8/f3Rt29fieRMSF1HBSBCCCGE1CgxMTECxR+gtEGyr68vunTpIsXMSj158gRHjx6FhoaGRI+lfXmM6NOnT4iOjsaGDRvg6+srkfsg4uncuTP++ecfODs7A/jfLo2dO3dyo8yJcIKDg9G0aVMMGTIEAPDTTz9hx44dMDMzw8GDB2tEgWjKlClSu++zZ89CR0fnu7ebO3cuunXrhvT0dAwYMAAyMjIAAD6fDx8fn6pOUyiurq6YN28ePnz4AMYYbt26hYMHD2LNmjXYuXOnyPH8/f3Rr18/ifdfI6Q+oR5AhBBCCKlR2rVrh40bN8LGxkZg/dKlS1i4cCHi4+OllBkQFBQENzc39O/fH9u3b+eOtVSlf/75B7/88guuXLlS5fdFKhYREQE7OztMmjQJe/bswaxZs3D//n3cuHED4eHh6NSpk7RTrDXatGmDbdu2wcbGBpGRkejXrx8CAgJw+vRpyMnJ4ejRo9JOEUDpJMLdu3cjOTkZmzZtgqamJs6ePQs9PT20bdtWqBiurq5C39+GDRvETfWbGjZsiJiYGJHHykvK/v374eXlxR2V1NbWhre3N6ZPny5WvLdv32LLli3Uf40QMVEBiBBCCCE1ypkzZ/DTTz/By8sLVlZWAICbN29i1apVWLt2LXr27MndtmHDhtWW16BBg3Dr1i0EBATAycmp2u738ePHaNeunVg9M4jkJCcnY+3atQIvPN3d3WvMcZvaQllZGQ8ePICenh7c3d2RmZmJvXv34t69e+jTpw9evXol7RQRHh4OOzs7WFtb4+rVq0hMTASfz8fatWtx584dhISECBVH2GNJPB4Ply5dqkzKXyVsU+mqVlBQgLy8PO4o5bNnz4Ta6UQIkSw6AkYIIYSQGmXo0KEAgDFjxnBHbcrerxo2bBh3ubonBhUXFyMuLg4tW7askvjv3r0TuMwYQ2ZmJry8vGBsbFwl90mE16pVKwQFBUk7jVpPVVUV2dnZ0NPTw/nz57ldMoqKinj//r2Usyvl4eEBHx8fuLq6Qk1NjVu3sbHBli1bhI5z+fLlqkivVlJWVoaysjKysrLg6+uLXbt2oaCg4LtfFxcXJ/R9WFpaViZFQuoFKgARQgghpEapqS+awsLCqjS+urp6uYbCjDHo6uri4MGDVXrf5PuKi4tx7NgxJCYmAigdcS3JHlD1xYABAzBjxgx06NABSUlJGDx4MIDS6X/VPXL9a+Lj43HgwIFy65qamiKPLq+P3rx5g7lz5yIsLAwKCgrw8PDA/Pnz4eXlhV9//RWWlpbYvXu3ULHat28PHo/HFf3LlL0p8PkaNcon5PvoNxYhhBBCapQffvhB2ilIxZeFLxkZGTRr1gxGRkZUZJCye/fuwd7eHllZWWjTpg0AYN26dWjWrBlOnToFc3NzKWdYe2zduhXLly9HRkYGjhw5giZNmgAA7t69i/Hjx0s5u1Lq6urIzMyEoaGhwHp0dHSlji3duXMHhw8fRnp6OgoLCwWuqym9jyTBw8MDN27cwNSpU3Hu3Dm4uLggNDQUMjIyuHTpEne0Vxipqanc59HR0Vi8eDGWLFnCNV+PjIzE+vXr4e/vL/Hvg5C6iHoAEUIIIaRG8fLygqenJzfVpszbt28xe/bsOrsbZs2aNdDS0sK0adME1v/44w+8evUK7u7uUsqMdO/eHc2aNUNwcDA3ne7NmzeYOnUqXr16hRs3bkg5QyJJixcvxr///ou///4brVu3RlRUFF68eAEnJyc4OTlh5cqVIsf866+/4OTkhIEDB+L8+fOwtbVFUlISXrx4geHDhwu9I0ZU0mgCraenhz179sDGxgZpaWng8/nw8PCAn59fpeJ27doVXl5e3K6xMmfOnMGKFStw9+7dSsUnpD6Q+f5NCCGEEEKqz65du9CzZ0+kpKRwa1euXIGFhQU3SaYu2r59O0xMTMqtt23bFoGBgVLIiJSJiYnBmjVruOIPAGhoaMDX1xfR0dFSzKz2CQ0NRUREBHd569ataN++PSZMmIA3b95IMbP/8fPzg4mJCXR1dZGXlwczMzP06tULPXr0wPLly8WOuXHjRpw6dQoKCgrYtGkTHjx4gDFjxkBPT0/C38H/SOO9/ufPn8PU1BQAYGBgAEVFRUyaNKnScePj48vtygIAQ0ND3L9/v9LxCakPqABECCGEkBqlrNFy+/btERQUhCVLlsDW1haTJ0+u0zstsrKyKhxl3KxZM2RmZkohI1KmdevWePHiRbn1ly9fwsjISAoZ1V5LlizhGp7Hx8fDzc0NgwcPRmpqqkhj06uSgoICgoKCkJKSgtOnT+PPP//Ew4cPsW/fPsjKyooVMzk5GUOGDOHi5+fng8fjwcXFBTt27JBk+gLOnj1b7dO2GGMCx1ZlZWWhpKRU6bimpqZYs2aNwPG5wsJCrFmzhis4EUK+jQ6UE0IIIaRG0dDQwOHDh/Hzzz9j1qxZkJOTw9mzZ9GvXz9pp1aldHV1cf369XLvcF+/fh3a2tpSyooApcfzFixYAC8vL65/yc2bN7Fq1SqsW7dOYIJbw4YNpZVmrZCamgozMzMAwJEjRzB06FD4+fkhKiqq3NEeaamoEHXz5k3weDwoKirCyMgIDg4OaNy4sdAxNTQ08N9//wEAdHR0kJCQAAsLC+Tm5go1DetreX3Nhg0bAAA9e/YU+mskhTGGfv36cUWg9+/fY9iwYVBQUBC4XVRUlEhxAwMDMWzYMLRs2ZKb+BUXFwcej4dTp05JJnlC6jgqABFCCCGkxvntt9+wadMmjB8/Hnfv3sWCBQtw4MABtGvXTtqpVZmZM2di0aJF+PTpE2xsbAAAFy9exE8//QQ3NzcpZ1e/DR06FAAwZswYbupQ2dGaYcOGcZd5PB5NIvoOBQUFruBx4cIFODk5AQAaN24sUEiTpujoaERFRaG4uJhr+p2UlARZWVmYmJjg999/h5ubGyIiIrhi1vf07t0bYWFhsLCwwOjRo7Fw4UJcunQJYWFhQhe3hT1u+OU0wer2ZY8kBwcHicTt2rUrUlJSsH//fjx48AAAMHbsWEyYMAEqKioSuQ9C6jpqAk0IIYSQGmXQoEG4ffs2tm/fjlGjRuH9+/dwdXXFnj174O3tjZ9++knaKVYJxhg8PDywefNm7oiDoqIi3N3d4enpKeXs6rfw8HChb1tfp9gJy97eHoWFhbC2tsbq1auRmpoKHR0dnD9/HvPnz0dSUpK0U0RAQACuXbuG3bt3czu63r59ixkzZqBnz56YOXMmJkyYgPfv3+PcuXNCxczJycGHDx+gra2NkpIS+Pv748aNGzA2Nsby5csF+ksRQkhVoQIQIYQQQmqUAQMGIDg4uNyxp3/++QczZsyo8/1w8vLykJiYCCUlJRgbG6NBgwbSTokQiUlPT8fcuXORkZGBBQsWYPr06QAAFxcXFBcXY/PmzVLOsPSIVlhYWLndPffu3YOtrS2ePXuGqKgo2Nra4vXr19+NV1RUhAMHDmDgwIHQ0tKqqrTrpJMnT8LOzg7y8vI4efLkN29rb29fTVkRUntRAYgQQgghNc61a9ewfft2JCcnIyQkBDo6Oti3bx8MDAzQq1cvaadH6hkvLy94enpCRkZwfsrbt28xe/ZsHDx4UEqZkaqgqqqK06dPo0+fPgLrV65cwbBhw/Dff/8hJSUF7du3F/rYmrKyMhITE6Gvry+xPO/cuYPDhw8jPT1doDEyABw9elRi9yNNMjIyyMrKgqamZrnH3+fo+CUhwqEpYIQQQgipUY4cOYKBAwdCSUkJ0dHR+PjxI4DSF9tr1qyRcnakPtq1axd69uyJlJQUbu3KlSuwsLBAcnKyFDOrnZKTk7F8+XKMHz8eL1++BFA6rerevXtSzqyUg4MDpk2bhmPHjuHp06d4+vQpjh07hunTp8PR0REAcOvWLbRu3VromF27dkVMTIzEcvzrr7/Qo0cPJCYm4tixY/j06RPu3buHS5cuoVGjRhK7H2krKSmBpqYm9/nXPqj4Q4hwqABECCGEkBrFx8cHgYGBCAoKgry8PLdubW0t8tQYQiQhLi4OLVu2RPv27REUFIQlS5bA1tYWkydPxo0bN6SdXq0SHh4OCwsL/Pvvvzh69Cjy8vIAALGxseWaB0vL9u3b0a9fP4wbNw76+vrQ19fHuHHj0K9fPwQGBgIATExMsHPnTqFjzp07F66urtiyZQsiIyMRFxcn8CEqPz8/bNy4EadOnYKCggI2bdqEBw8eYMyYMdDT0xM5Xm2Vm5sr7RQIqVXoCBghhBBCahRlZWXcv38fBgYGUFNTQ2xsLPh8PlJSUmBmZoYPHz5IO0VST/38889Yu3Yt5OTkcPbsWaGnN5H/6d69O0aPHg1XV1eBx/etW7cwYsQIPH36VNopcvLy8rhdX3w+H6qqqmLHquj4Eo/HE3t6nIqKCu7duwcDAwM0adKE25GWmJgIGxubGtcr7cOHD1BUVKxUjHXr1sHAwABjx44FAIwePRpHjhxBixYtcObMmTo9JZIQSaEdQIQQQgipUZo3b47Hjx+XW4+IiACfz5dCRoQAv/32GzZt2oTx48eDz+djwYIFiI2NlXZatU58fDyGDx9ebl1TU1OohsrVSVVVFZaWlrC0tKxU8QcAUlNTy32kpKRw/xWVhoYG/vvvPwClTasTEhIAlO6IKSgoqFSuklJSUoLVq1dDR0cHqqqq3Pe5YsUK7Nq1S+R4gYGB0NXVBQCEhYXhwoULCA0NhZ2dHZYsWSLR3Ampq6gARAghhJAaZebMmVi4cCH+/fdf8Hg8PH/+HPv378fixYsxZ84caadH6qFBgwbBy8sLwcHB2L9/P6Kjo9G7d29YWVnB399f2unVKurq6hXuTomOjoaOjo4UMqoeZUfJvvYhqt69eyMsLAxA6U6YhQsXYubMmRg/fnyN2Znm4+ODPXv2wN/fHwoKCty6ubm5SMfnymRlZXEFoNOnT2PMmDGwtbXFTz/9hNu3b0ssb0LqMioAEUIIIaRG8fDwwIQJE9CvXz/k5eWhd+/emDFjBmbNmgVnZ2dpp0fqoeLiYsTHx2PUqFEAACUlJWzbtg0hISHYuHGjlLOrXcaNGwd3d3dkZWWBx+OhpKQE169fx+LFi+Hk5CTt9KrUvn37YG1tDW1tbTx58gQAEBAQgBMnTogca8uWLRg3bhwAYNmyZXB1dcWLFy8wcuRIsXbXVIW9e/dix44dmDhxImRlZbn1du3a4cGDByLH09DQQEZGBgAgNDQU/fv3BwAwxqgJNCFCogIQIYQQQmoUHo+HZcuWIScnBwkJCbh58yZevXqF1atXSzs1Uk+FhYUhOTkZkyZNQvfu3fHs2TMAQE5ODg4fPizl7GoXPz8/mJiYQFdXF3l5eTAzM0Pv3r3Ro0cPLF++XNrpVZlt27bB1dUVgwcPRm5uLlewUFdXR0BAgEixioqKcPr0aa6oIiMjAw8PD5w8eRLr16+HhoaGpNMXy7Nnz2BkZFRuvaSkBJ8+fRI53ogRIzBhwgQMGDAA2dnZsLOzA1C6e6yi+yGElEcFIEIIIYTUSAoKCjAzM0PXrl0r3X+DkMo4cuQIBg4cCCUlJURHR+Pjx48AgLdv32LNmjVSzq7me/fuHfe5goICgoKCkJKSgtOnT+PPP//EgwcPsG/fPoFdInXNb7/9hqCgICxbtkzg++zcuTPi4+NFiiUnJ4fZs2fX+Ib4ZmZmuHbtWrn1kJAQdOjQQeR4GzduxPz582FmZoawsDDu90JmZibmzp1b6XwJqQ/kpJ0AIYQQQgghNZmPjw8CAwPh5OSEv/76i1u3traGj4+PFDOrHTQ0NJCZmQlNTU3Y2Njg6NGj0NXV5fq51AepqakVFj0aNGiA/Px8keN17doVMTExYvUPqi6enp6YMmUKnj17hpKSEhw9ehQPHz7E3r17cfr0aZHjycvLY/HixeXWXVxcJJEuIfUC7QAihBBCCCHkGx4+fIjevXuXW2/UqBFyc3OrP6FaRlVVFdnZ2QCAK1euiHX8p7YzNDRETExMufXQ0FCYmpqKHG/u3LlwdXXFli1bEBkZibi4OIGPmsDBwQGnTp3ChQsXoKKiAk9PTyQmJuLUqVMYMGCAWDH37duHnj17SqSPEiH1Ee0AIoQQQggh5BuaN2+Ox48fw8DAQGA9IiICfD5fOknVIv3790ffvn25Qsfw4cMFpkJ97tKlS9WZWrVxdXXFvHnz8OHDBzDGcOvWLRw8eBBr1qwRayJWWQPoBQsWcGs8Hg+MMfB4vBrTFLlXr17ctLLK2rZtGzw9PbFo0SL4+vqW66Pk4OAgkfshpC6jAhAhhBBCCCHfMHPmTCxcuBB//PEHeDwenj9/jsjISCxevBgrVqyQdno13p9//ong4GAkJycjPDwcbdu2hbKysrTTqlYzZsyAkpISli9fjoKCAkyYMAHa2trYtGkTV8wRRWpqahVkKVm3b99GSUkJunXrJrD+77//QlZWFp07dxYpXlkfJUdHR6xdu5Zb79y5c4VHwwgh5fEYY0zaSRBCCCGEEFJTMcbg5+eHNWvWoKCgAEBp75bFixfTdDoR9e3bF8eOHYO6urq0U5GagoIC5OXlQVNTU9qpVKmuXbvip59+wqhRowTWjx49inXr1uHff/8VKZ6SkhIePHgAfX19qKmpITY2Fnw+H48ePYKlpSXev38vyfQJqZOoBxAhhBBCCCHfwOPxsGzZMuTk5CAhIQE3b97Eq1evqPgjhsuXL3PFH8YY6uN70crKyhIp/uzbtw/W1tY1th/O/fv30bFjx3LrHTp0wP3790WOJ+k+SoTUR1QAIoQQQgghRAgKCgowMzND165duRHURHR79+6FhYUFlJSUoKSkBEtLS+zbt0/aaVWpFy9eYPLkydDW1oacnBxkZWUFPkS1bds2uLq6YvDgwcjNzS3XD6cmaNCgAV68eFFuPTMzE3JyonciKeujdOjQIa6Pkq+vL5YuXYqffvpJEikTUufRETBCCCGEEEJItdiwYQNWrFiB+fPnw9raGkBpM+2tW7fCx8enzo70trOzQ3p6OubPn48WLVqAx+MJXC9qA2MzMzP4+fnB0dFR4DhUQkIC+vTpg9evX0syfbGMHz8emZmZOHHiBBo1agQAyM3NhaOjIzQ1NXH48GGRY+7fvx9eXl5ITk4GAGhra8Pb2xvTp0+XaO6E1FVUACKEEEIIIYRUC0NDQ3h7e8PJyUlgPTg4GF5eXrWiubE41NTUcO3aNbRv314i8WpDP5xnz56hd+/eyM7ORocOHQAAMTEx0NLSQlhYGHR1dcWO/WUfpWfPnkFHR0cieRNSl9ERMEIIIYQQQki1yMzMRI8ePcqt9+jRA5mZmVLIqHro6upKtN9RbeiHo6Ojg7i4OPj7+8PMzAydOnXCpk2bEB8fX6niD/C/PkpZWVlwdnaGsbGxhLImpG6jAhAhhBBCCCGkWhgZGVV49OfQoUN1+kV8QEAAPDw8kJaWJpF4taUfjoqKCn788Uds3boVv/76K5ycnCAvLy9SjDdv3mD8+PFo2rQptLW1sXnzZpSUlMDT0xN8Ph+3b9/G7t27q+g7IKRuoSNghBBCCCGEkGpx5MgRjB07Fv379+d6AF2/fh0XL17E4cOHMXz4cClnWDU0NDRQUFCAoqIiKCsrlyuC5OTkiByzNvTDefToES5fvoyXL1+ipKRE4DpPT0+hYsyaNQuhoaEYPXo0zp07h/v372PgwIGQkZHB8uXLYWVlVRWpE1InUQGIEEIIIYQQUm2ioqKwYcMGJCYmAgBMTU3h5ubG9Ympi4KDg795/ZQpU8SO/WU/nJoiKCgIc+bMQdOmTdG8eXOBxtc8Hg9RUVFCxdHT08OePXtgY2ODtLQ08Pl8eHh4wM/Pr6pSJ6TOogIQIYQQQgghpMp9+vQJs2bNwooVK2BoaCjtdEgV09fXx9y5c+Hu7l6pOHJycsjIyECLFi0AlPb/uXPnDszMzCSRJiH1CvUAIoQQQgghhFQ5eXl5HDlyRNppSE1ycjKWL1+O8ePH4+XLlwCAs2fP4t69eyLHevHiBSZPngxtbW3IyclBVlZW4KMmePPmDUaPHl3pOIwxyMnJcZdlZWWhpKRU6biE1Ee0A4gQQgghhBBSLaZMmYL27dvDxcVF2qlUq/DwcNjZ2cHa2hpXr15FYmIi+Hw+1q5dizt37iAkJESkeHZ2dkhPT8f8+fPRokULgeNVAODg4CDJ9MUyffp0dOnSBbNnz65UHBkZGZibm3NFoLi4OJiYmEBBQUHgdsIeKSOkPpP7/k0IIYQQQgghpPKMjY2xatUqXL9+HZ06dYKKiorA9QsWLJBSZlXLw8MDPj4+cHV1hZqaGrduY2ODLVu2iBwvIiIC165dQ/v27SWYpWQZGRlhxYoVuHnzJiwsLMo1vhb2Z71y5UqByzWhuEVIbUU7gAghhBBCCCHV4lu9f3g8HlJSUqoxm+qjqqqK+Ph4GBoaQk1NDbGxseDz+UhLS4OJiQk+fPggUjwzMzPs37+/RjfOrq8/a0JqMtoBRAghhBBCCKkWqamp3Odl70N/eXypLlJXV0dmZma5okh0dDR0dHREjhcQEAAPDw9s374dBgYGEspSsj7/WRNCagZqAk0IIYQQQgipNrt27YK5uTkUFRWhqKgIc3Nz7Ny5U9ppValx48bB3d0dWVlZ4PF4KCkpwfXr17F48WI4OTmJHG/s2LG4cuUKWrVqBTU1NTRu3FjggxBCKkI7gAghhBBCCCHVwtPTExs2bICzszO6d+8OAIiMjISLiwvS09OxatUqKWdYNfz8/DBv3jzo6uqiuLgYZmZmKCoqwsSJE7F8+XKR4wUEBEg+ySrw9OlTnDx5Eunp6SgsLBS4bsOGDVLKipD6i3oAEUIIIYQQQqpFs2bNsHnzZowfP15g/eDBg3B2dsbr16+llFn1yMjIQHx8PPLy8tChQwcYGxtLO6Uqc/HiRdjb24PP5+PBgwcwNzdHWloaGGPo2LEjLl26JO0UCal3aAcQIYQQQgghpFp8+vQJnTt3LrfeqVMnFBUVSSGj6uHq6lpu7ebNm+DxeFBUVISRkREcHBxEOr6VnJyM3bt3Izk5GZs2bYKmpibOnj0LPT09tG3bVpLpi2Xp0qVYvHgxvL29oaamhiNHjkBTUxMTJ07EoEGDKhX7w4cPUFRUlFCmhNQftAOIEEIIIYQQUi2cnZ0hLy9f7vjP4sWL8f79e2zdulVKmVWtvn37IioqCsXFxWjTpg0AICkpCbKysjAxMcHDhw/B4/EQEREBMzOz78YLDw+HnZ0drK2tcfXqVSQmJoLP52Pt2rW4c+cOQkJCqvpb+i41NTXExMSgVatW0NDQQEREBNq2bYvY2Fg4ODggLS1NpHglJSXw9fVFYGAgXrx4gaSkJPD5fKxYsQIGBgaYPn161XwjhNQh1ASaEEIIIYQQUm3KmkDPmDEDM2bMgIWFBYKCgiAjIwNXV1fuoy5xcHBA//798fz5c9y9exd3797F06dPMWDAAIwfPx7Pnj1D79694eLiIlQ8Dw8P+Pj4ICwsDAoKCty6jY0Nbt68WVXfhkhUVFS4vj8tWrRAcnIyd504R/18fHywZ88e+Pv7C3zP9aGJOCGSQjuACCGEEEIIIdWib9++Qt2Ox+PVqR4xOjo6CAsLK7e75969e7C1tcWzZ88QFRUFW1tboYojqqqqiI+Ph6GhIdTU1BAbGws+n4+0tDSYmJjgw4cPVfWtCM3R0RFDhgzBzJkzsXjxYpw4cQJTp07F0aNHoaGhgQsXLogUz8jICNu3b0e/fv0EvucHDx6ge/fuePPmTRV9J4TUHdQDiBBCCCGEEFItLl++LO0UpOLt27d4+fJluQLQq1ev8O7dOwCAurp6uUlZX6Ouro7MzEwYGhoKrEdHR0NHR0cySVfShg0bkJeXBwDw9vZGXl4eDh06BGNjY7EmgD179gxGRkbl1ktKSvDp06dK50tIfUAFIEIIIYQQQgipQg4ODpg2bRrWr1+PLl26AABu376NxYsXw9HREQBw69YttG7dWqh448aNg7u7O/7++2/weDyUlJTg+vXrWLx4MZycnKrq2xAJn8/nPldRUUFgYGCl4pmZmeHatWvQ19cXWA8JCUGHDh0qFZuQ+oIKQIQQQgghhBBShbZv3w4XFxeMGzeOm3YmJyeHKVOmYOPGjQAAExMToXvZ+Pn5Yd68edDV1UVxcTHMzMxQVFSEiRMnYvny5VX2fYiCz+fj9u3baNKkicB6bm4uOnbsiJSUFJHieXp6YsqUKXj27BlKSkpw9OhRPHz4EHv37sXp06clmTohdRb1ACKEEEIIIYSQapCXl8cVPvh8PlRVVSsVLyMjA/Hx8cjLy0OHDh1gbGwsiTQlQkZGBllZWdDU1BRYf/HiBfT09PDx40eRY167dg2rVq1CbGws8vLy0LFjR3h6esLW1lZSaRNSp1EBiBBCCCGEEEJqka9NSePxeFBUVISRkREcHBzQuHHjas4MOHnyJIDSJtDBwcFo1KgRd11xcTEuXryIsLAwPHz4sNpzI6S+owIQIYQQQgghhNQiffv2RVRUFIqLi9GmTRsAQFJSEmRlZWFiYoKHDx+Cx+MhIiKiXOPpqiYjIwOgtBj15UtNeXl5GBgYYP369Rg6dKhIcW/fvo2SkhJ069ZNYP3ff/+FrKwsOnfuXLnECakHZKSdACGEEEIIIYQQ4Tk4OKB///54/vw57t69i7t37+Lp06cYMGAAxo8fj2fPnqF3795wcXGp9txKSkpQUlICPT09vHz5krtcUlKCjx8/4uHDhyIXfwBg3rx5yMjIKLf+7NkzzJs3TxKpE1Ln0Q4gQgghhBBCCKlFdHR0EBYWVm53z71792Bra4tnz54hKioKtra2eP36tZSyLC83Nxfq6upifa2qqiri4uIEposBQGpqKiwtLfHff/9JIENC6jbaAUQIIYQQQgghtcjbt2/x8uXLcuuvXr3Cu3fvAADq6uooLCys7tQ469atw6FDh7jLo0ePRuPGjaGjo4PY2FiR4zVo0AAvXrwot56ZmQk5ORpuTYgwqABECCGEEEIIIbWIg4MDpk2bhmPHjuHp06d4+vQpjh07hunTp8PR0REAcOvWLbRu3VpqOQYGBkJXVxcAEBYWhgsXLiA0NBR2dnZYsmSJyPFsbW2xdOlSvH37llvLzc3Fzz//jAEDBkgsb0LqMjoCRgghhBBCCCG1SF5eHlxcXLB3714UFRUBAOTk5DBlyhRs3LgRKioqiImJAQC0b99eKjkqKSkhKSkJurq6WLhwIT58+IDt27cjKSkJ3bp1w5s3b0SKV9bXKDs7Gx06dAAAxMTEQEtLC2FhYVyxiRDydVQAIoQQQgghhJBaKC8vDykpKQAAPp8PVVVVKWf0P9ra2ggJCUGPHj3Qpk0b+Pj4YPTo0Xj48CG6dOnCHVUTRX5+Pvbv34/Y2FgoKSnB0tIS48ePh7y8fBV8B4TUPXRYkhBCCCGEEEJqIVVVVVhaWko7jQqNGDECEyZMgLGxMbKzs2FnZwcAiI6OhpGRkVgxVVRU8OOPP0oyTULqFSoAEUIIIYQQQgiRqI0bN8LAwAAZGRnw9/fndidlZmZi7ty5YsV89OgRLl++zI2X/5ynp2elcyakrqMjYIQQQgghhBBCarSgoCDMmTMHTZs2RfPmzcHj8bjreDweoqKipJgdIbUDFYAIIYQQQgghhFTayZMnYWdnB3l5eZw8efKbt7W3txcptr6+PubOnQt3d/fKpEhIvUYFIEIIIYQQQgghlSYjI4OsrCxoampCRkbmq7fj8XgoLi4WKXbDhg0RExMDPp9f2TQJqbe+/qgkhBBCCCGEEEKEVFJSAk1NTe7zr32IWvwBgNGjR+P8+fOSTpmQeoWaQBNCCCGEEEIIqdGMjIywYsUK3Lx5ExYWFuVGvy9YsEBKmRFSe9ARMEIIIYQQQgghElNSUoI9e/bg6NGjSEtLA4/Hg6GhIUaNGoXJkycLNHAWlqGh4Vev4/F4SElJqUzKhNQLVAAihBBCCCGEECIRjDEMGzYMZ86cQbt27WBiYgLGGBITExEfHw97e3scP35c2mkSUi/RETBCCCGEEEIIIRKxZ88eXL16FRcvXkTfvn0Frrt06RIcHR2xd+9eODk5SSlDQuov2gFECCGEEEIIIUQibG1tYWNjAw8Pjwqv9/PzQ3h4OM6dOydy7KdPn+LkyZNIT09HYWGhwHUbNmwQK19C6hPaAUQIIYQQQgghRCLi4uLg7+//1evt7OywefNmkeNevHgR9vb24PP5ePDgAczNzZGWlgbGGDp27FiZlAmpN2gMPCGEEEIIIYQQicjJyYGWltZXr9fS0sKbN29Ejrt06VIsXrwY8fHxUFRUxJEjR5CRkYEffvgBo0ePrkzKhNQbVAAihBBCCCGEECIRxcXFkJP7+kETWVlZFBUViRw3MTGR6xskJyeH9+/fQ1VVFatWrcK6devEzpeQ+oSOgBFCCCGEEEIIkQjGGKZOnYoGDRpUeP3Hjx/FiquiosL1/WnRogWSk5PRtm1bAMDr16/FS5aQeoYKQIQQQgghhBBCJGLKlCnfvY04E8CsrKwQEREBU1NTDB48GG5uboiPj8fRo0dhZWUlTqqE1Ds0BYwQQgghhBBCSI2WkpKCvLw8WFpaIj8/H25ubrhx4waMjY2xYcMG6OvrSztFQmo8KgARQgghhBBCCCGE1HHUBJoQQgghhBBCSI3G5/ORnZ1dbj03Nxd8Pl8KGRFS+1ABiBBCCCGEEEJIjZaWlobi4uJy6x8/fsSzZ8+kkBEhtQ81gSaEEEIIIYQQUiOdPHmS+/zcuXNo1KgRd7m4uBgXL16EgYGBFDIjpPahHkCEEEIIIYQQQmokGZnSQys8Hg9fvnSVl5eHgYEB1q9fj6FDh0ojPUJqFSoAEUIIIYQQQgip0QwNDXH79m00bdpU2qkQUmtRAYgQQgghhBBCSK2Tm5sLdXV1aadBSK1BTaAJIYQQQgghhNRo69atw6FDh7jLo0ePRuPGjaGjo4PY2FgpZkZI7UEFIEIIIYQQQgghNVpgYCB0dXUBAGFhYbhw4QJCQ0NhZ2eHJUuWSDk7QmoHmgJGCCGEEEIIIaRGy8rK4gpAp0+fxpgxY2BrawsDAwN069ZNytkRUjvQDiBCCCGEEEIIITWahoYGMjIyAAChoaHo378/AIAxhuLiYmmmRkitQTuACCGEEEIIIYTUaCNGjMCECRNgbGyM7Oxs2NnZAQCio6NhZGQk5ewIqR2oAEQIIYQQQgghpEbbuHEjDAwMkJGRAX9/f6iqqgIAMjMzMXfuXClnR0jtQGPgCSGEEEIIIYQQQuo42gFECCGEEEIIIaTGOXnyJOzs7CAvL4+TJ09+87b29vbVlBUhtRftACKEEEIIIYQQUuPIyMggKysLmpqakJH5+vwiHo9HjaAJEQIVgAghhBBCCCGEEELqOBoDTwghhBBCCCGEEFLHUQ8gQgghhBBCCCE1VklJCfbs2YOjR48iLS0NPB4PhoaGGDVqFCZPngwejyftFAmpFegIGCGEEEIIIYSQGokxhmHDhuHMmTNo164dTExMwBhDYmIi4uPjYW9vj+PHj0s7TUJqBdoBRAghhBBCCCGkRtqzZw+uXr2Kixcvom/fvgLXXbp0CY6Ojti7dy+cnJyklCEhtQftACKEEEIIIYQQUiPZ2trCxsYGHh4eFV7v5+eH8PBwnDt3rpozI6T2oSbQhBBCCCGEEEJqpLi4OAwaNOir19vZ2SE2NrYaMyKk9qICECGEEEIIIYSQGiknJwdaWlpfvV5LSwtv3rypxowIqb2oAEQIIYQQQgghpEYqLi6GnNzXW9fKysqiqKioGjMipPaiJtCEEEIIIYQQQmokxhimTp2KBg0aVHj9x48fqzkjQmovKgARQgghhBBCCKmRpkyZ8t3b0AQwQoRDU8AIIYQQQgghhBBC6jjqAUQIIYQQQgghhBBSx1EBiBBCCCGEEEIIIaSOowIQIYQQQgghhBBCSB1HBSBCCCGEEEIIIYSQOo4KQIQQQgghhBBCCCF1HBWACCGEEEIIIYQQQuo4KgARQgghhBBCCCGE1HFUACKEEEIIIYQQQgip46gARAghhBBCCCGEEFLH/T/WcBLl1cs8JgAAAABJRU5ErkJggg==", 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wdOhQuLu7459//sHWrVvRuXNnfPHFF3BxcUG3bt2wYMECpKenw8PDA7t27cq1V9Xb2xtA1rZMQ4cOhYODAwIDA5VA94MPPsC4cePg4+OD/fv346+//jK6vvXr18d7772H0NBQxMXFYeDAgahQoQKuXr2KiIgITJgwAW+88Ua+x69atQpDhgxBkyZNMGrUKDRv3hxpaWn4/fffsW7dOjz//PMAgJYtWyIkJASLFy9WhnEfOXIEP/zwAwYOHIiePXua9mRnY2dnhyVLlsDf3x/NmjXD6NGj4eHhAY1Gg3379sHFxQWbN2/O9dhOnTrBzc0NISEhmDx5MlQqFX788cdch0F7e3tj7dq1mDp1Ktq2bQtnZ2cEBgbmet4PP/wQ/v7+6NixI8aOHatsC+bq6mqwR7qx3nnnHezfvx/9+vVDnTp1cOvWLXz11VeoVauWwZ7quSlXrhy8vb3xxx9/KHtwA1k93ImJiUhMTDQq4Dal/cXZyJEj8fPPP+OFF17Avn370LlzZ2RmZuL8+fP4+eeflf3fW7VqhWHDhuGrr75CQkICOnXqhD179lhtb3EiIouy1fLoREREedFvKfXnn3/mm2/fvn3Sp08fcXV1FScnJ6lfv748//zzEhMTo+S5du2aDBo0SCpWrCiurq7y7LPPyvXr13Pdbujdd98VDw8PsbOzM9jSKikpScaOHSuurq5SoUIFGTx4sNy6dSvPbcHy2lJqw4YN0qVLFylfvryUL19ennzySXnppZfkwoULRj0vf/31l4wfP148PT2lTJkyUqFCBencubN8/vnnBttqpaeny9y5c6Vu3bri4OAgtWvXltDQUIM8IlnbgvXr1y/X5xWArFu3Ltd6HD9+XIKDg6Vy5cri6OgoderUkcGDB8uePXuUPLltC3bw4EHp0KGDlC1bVmrWrCnTp0+XnTt35thm6uHDhzJ8+HCpWLGiAFC2yMpri7aoqCjp3LmzlC1bVlxcXCQwMFDOnTtnkCev1+bReu7Zs0cGDBggNWvWlDJlykjNmjVl2LBh8tdff+X6XDxq2rRpAkDmz59vkN6gQQMBIJcvXzZIz22brbzan9frkt/WdQXp3r27NGvWLNfH9Oc1ZluwvM6RlpYm8+fPl2bNmomjo6O4ubmJt7e3zJ07VxISEpR8ycnJMnnyZKlcubKUL19eAgMD5d9//+W2YERU4qlEbLjCBhEREREREVEpxTncRERERERERBbAgJuIiIiIiIjIAhhwExEREREREVkAA24iIiIiIiIiC2DATURERERERGQBDLiJiIiIiIiILEBt6wpQ8aPT6XD9+nVUqFABKpXK1tUhIiIiIiIqVkQEDx48QM2aNWFnl3c/NgNuyuH69euoXbu2ratBRERERERUrP3777+oVatWno8z4KYcKlSoACDrzePi4mLj2hARERERERUvWq0WtWvXVmKnvDDgphz0w8hdXFwYcBMREREREeWhoCm4XDSNiIiIiIiIyAIYcBMRERERERFZAANuIiIiIiIiIgtgwE1ERERERERkAQy4iYiIiIiIiCyAq5QTERERERHRY0kTr8Huc7uhTdHCxckFfk394OHmUWTnZ8BNREREREREj5WYuBjM2zYPm09tRkZmhpKutlcj0CsQYQFh8PH0KXQ5HFJOREREREREj42IYxHoMr8LIo5HGATbAJCRmYGI41mPbzy+sdBlMeAmIiIiIiKix0JMXAyGfTcMqRmp+eZLzUjF0MVDERMXU6jyGHATERERERHRY2HetnkFBtt6qRmpCN8eXqjyGHATERERERFRqaeJ1yDyZKRJx0SejIQmXmN2mQy4iYiIiIiIqNTbfW43MnWZJh2TkZmBqNgos8tkwE1ERERERESlnjZFa95xyeYdBzDgJiIiIiIioseAi5OLeceVNe84gAE3ERERERERPQb8mvpBba826Ri1vRq+TXzNLpMBNxEREREREZV6Hm4eCPQKNOmYoJZB8HDzMLtMBtxERERERET0WAgLCIOj2tGovE4OTgj1Dy1UeQy4iYiIiIiI6LHg4+mDNRPWFBh0O6odsXr8avh4+hSqPAbcRERERERE9NgY2HogomdEI7hNcI453Wp7NYLbBCN6RjQGth5Y6LJUIiKFPguVKlqtFq6urkhISICLi/kr8hERERERERVnmngNomKjoE3WwqWsC3yb+Bo1Z9vYmMm0JdqIiIiIiIiISgkPNw+EdAqx2Pk5pJyIiIiIiIjIAhhwExEREREREVkAA24iIiIiIiIiC2DATURERERERGQBDLiJiIiIiIiILIABNxEREREREZEFMOAmIiIiIiIisgAG3EREREREREQWwICbiIiIiIiIyAIYcBMRERERERFZAANuIiIiIiIiIgtgwE1ERERERERkAQy4iYiIiIiIiCyAATcRERERERGRBTDgJiIiIiIiIrIABtxEREREREREFsCAm4iIiIiIiMgCGHATERERERERWQADbiIiIiIiIiILYMBNREREREREZAEMuImIiIiIiIgsgAE3ERERERERkQUw4CYiIiIiIiKyAAbcRERERERERBbAgLsE+PLLL+Hp6QknJye0b98eR44cyTPvd999h65du8LNzQ1ubm7w9fXNNz8RERERERFZBgPuYm7t2rWYOnUqZs+ejWPHjqFly5bo06cPbt26lWv+X3/9FcOGDcO+fftw6NAh1K5dG0899RQ0Go2Va05ERERERPR4U4mI2LoSlLf27dujbdu2+OKLLwAAOp0OtWvXxiuvvIKZM2cWeHxmZibc3NzwxRdfYNSoUUaVqdVq4erqioSEBLi4uBSq/kRERERERKWNsTGT2op1IhOlpaXh6NGjCA0NVdLs7Ozg6+uLQ4cOGXWOpKQkpKeno1KlSnnmSU1NRWpqqvK3VqsFkBWsZ2ZmAgBUKhXs7Oyg0+mQ/R5NXul2dnZQqVR5puvPmz0dyLqhYEy6vb09RMQgXV+XvNKNrTvbxDaxTWwT28Q2sU1sE9vENrFNbFN+bXq0jLww4C7G7ty5g8zMTFSrVs0gvVq1ajh//rxR55gxYwZq1qwJX1/fPPOEh4dj7ty5OdIvX74MZ2dnAICrqytq1KiBmzdvIiEhQclTpUoVVKlSBRqNBomJiUp69erVUbFiRcTFxSEtLU1Jr1WrFpydnXH58mWDN3DdunWhVqtx8eJFgzo0bNgQGRkZuHr1qpJmZ2eHRo0aITExEdeuXVPSy5Qpg3r16iEhIQE3btxQ0suXL4/atWvj3r17uHPnjpLONrFNbBPbxDaxTWwT28Q2sU1sE9tkTpsePnwIY3BIeTF2/fp1eHh44Pfff0fHjh2V9OnTp+O3337D4cOH8z3+gw8+wIIFC/Drr7/Cy8srz3y59XDrPwj64REl8a5TQXVkm9gmtoltYpvYJraJbWKb2Ca2qfi1SROvQVRsFB6kPoBrWVf0frI3alasWazapNVqUalSpQKHlDPgLsbS0tJQrlw5rF+/HgMHDlTSQ0JCcP/+fWzatCnPYz/66CO89957iIqKgo+Pj0nlcg43ERERERFZW0xcDOZtm4fNpzYjIzNDSVfbqxHoFYiwgDD4eJoW21iKsTETVykvxsqUKQNvb2/s2bNHSdPpdNizZ49Bj/ejFixYgHfffRc7duwwOdgmIiIiIiLKjSZeg+UHl+OzPZ9h+cHl0MQX3U5IEcci0GV+F0QcjzAItgEgIzMDEcezHt94fGORlWkNnMNdzE2dOhUhISHw8fFBu3btsGjRIiQmJmL06NEAgFGjRsHDwwPh4eEAgPnz5+Ptt9/GqlWr4OnpqcyZcHZ2VuZjExERERERGcvSPc8xcTEY9t0wpGak5psvNSMVQxcPRfSM6GLT010Q9nAXc0OGDMFHH32Et99+G61atcKJEyewY8cOZSG1f/75B//995+S/+uvv0ZaWhqeeeYZ1KhRQ/n30Ucf2aoJRERERERUQlmj53netnkFBtt6qRmpCN8ebnZZ1sY53JQD53ATEREREVFMXAy6zO9iVDDsqHY0q+dZE69BnZl1kKkzbpstIKtnPS48Dh5uHiaVVZQ4h5uIiIiIiIjMZo2e593ndpsUbANZPetRsVEml2ULDLiJiIiIiIjIgCZeg8iTkSYdE3ky0uSF1LQpWpPyK8clm3ectTHgJiIiIiIiIgPW6nl2cTJvCqtL2ZIx9ZUBNxERERERERmwVs+zX1M/qO1N2zxLba+GbxNfk46xFQbcREREREREZMBaPc8ebh4I9Ao06ZiglkE2XTDNFAy4iYiIiIiIyIA1e57DAsLgqHY0Kq+TgxNC/UNNLsNWGHATERERERGRAWv2PPt4+mDNhDUFBt2OakesHr/a5K3HbIkBNxEREREREeVgzZ7nga0HInpGNILbBOfoWVfbqxHcJhjRM6IxsPVAs8uwBZWIiK0rQcWLsZu4ExERERFR6bbx+EYMXTw03/24HdWOWDNhTZEFw5p4DaJio6BN1sKlrAt8m/gWuznbxsZMDLgpBwbcRERERESkFxMXg/Dt4Yg8GYmMzAwlXW2vRlDLIIT6h5aoYd5FgQE3mY0BNxERERERPaok9Dxbi7Exk2nLzhEREREREdFjycPNAyGdQmxdjRKFi6YRERERERERWQADbiIiIiIiIiILYMBNREREREREZAEMuImIiIiIiIgsgAE3ERERERERkQUw4CYiIiIiIiKyAG4LRkREREREVEJp4jXYfW43tClauDi5wK+p32O7N3ZxxICbiIiIiIiohImJi8G8bfOw+dRmZGRmKOlqezUCvQIRFhAGH08fG9aQAA4pJyIiIiIiKlEijkWgy/wuiDgeYRBsA0BGZgYijmc9vvH4RttUkBQMuImIiIiIiEqImLgYDPtuGFIzUvPNl5qRiqGLhyImLsZKNaPcMOAmIiIiIiIqIeZtm1dgsK2XmpGK8O3hFq4R5YcBNxERERERUQmgidcg8mSkScdEnoyEJl5joRpRQRhwExERERERlQC7z+1Gpi7TpGMyMjMQFRtloRpRQRhwExERERERlQDaFK15xyWbdxwVHgNuIiIiIiKiEsDFycW848qadxwVHgNuIiIiIiKiEsCvqR/U9mqTjlHbq+HbxNdCNaKCMOA2Qq9evXD//v0c6VqtFr169bJ+hYiIiIiIqFjTxGuw/OByfLbnMyw/uLxIFi7zcPNAoFegSccEtQyCh5tHocsm85h2e+Qx9euvvyItLS1HekpKCg4cOGCDGhERERERUXEUExeDedvmYfOpzcjIzFDS1fZqBHoFIiwgDD6ePmafPywgDNtObzNqazAnByeE+oeaXRYVHgPufJw6dUr5/3PnzuHGjRvK35mZmdixYwc8PHi3iIiIiIiopNDEa7D73G5oU7RwcXKBX1O/IusBjjgWgWHfDcs1GM7IzEDE8QhsO70NayaswcDWA80qw8fTB2smrMHQxUPzDbod1Y5YPX51oYJ7KjyViIitK1Fc2dnZQaVSAQBye5rKli2Lzz//HGPGjLF21SxKq9XC1dUVCQkJcHHhAgtEREREVPJZuuc5Ji4GXeZ3Marn2VHtiOgZ0YUuL3x7OCJPRuZoT1DLIIT6hzLYtiBjYyYG3Pn4+++/ISKoV68ejhw5And3d+WxMmXKoGrVqrC3t7dhDS2DATcRERERlSb59TzrOaodC9XzHPxVMCKORxifv00wNkzaYFZZ2WniNYiKjYI2WQuXsi7wbeLLOdtWwICbzMaAm4iIiIhKC2v0PGviNagzsw4ydZlGH6O2VyMuPI7BcQllbMzEOdxGunjxIvbt24dbt25Bp9MZPPb222/bqFZERERERJSfedvmGRVsA0BqRirCt4eb3PO8+9xuk4JtIGtOd1RsFEI6hZh0HJUsDLiN8N1332HSpEmoUqUKqlevrszrBgCVSsWAm4iIiIioECy1kJkmXoPIk5EmHRN5MhKaeI1J5WtTtKZWLeu4ZPOOo5KDAbcR3nvvPbz//vuYMWOGratCRERERFRqWHohM2v1PLs4mTcN06Usp2+Wdna2rkBJEB8fj2effdbW1SAiIiIiKjUijkWgy/wuiDgeYRBsA//bQqvL/C7YeHyj2WVYq+fZr6kf1Pam9WWq7dXwbeJr0jFU8jDgNsKzzz6LXbt22boaRERERESlQkxcTIGrhgNZc6qHLh6KmLgYs8qxVs+zh5sHAr0CTTomqGUQF0x7DHBIuREaNGiAWbNm4Y8//kCLFi3g4OBg8PjkyZNtVDMiIiIiopLHGguZAf/reX60Bz0/5vY8hwWEYdvpbUa1y8nBCaH+oSaXQSUPtwUzQt26dfN8TKVS4cqVK1asjeVxWzAiIiIishRrb6Flzf2xNx7fiKGLh1p0v28qHrgtWBG6evWqratARERERGR1llg93NpbaFmz53lg64GInhGN8O3hiDwZmWMhuKCWQQj1Dy3UQnBUsjDgNkFaWhquXr2K+vXrQ63mU0dEREREpZMlVw+39hZaPp4+WDNhjVE9z6vHry50MOzj6YMNkzZAE69BVGwUtMlauJR1gW8TX87Zfgxx0TQjJCUlYezYsShXrhyaNWuGf/75BwDwyiuv4IMPPrBx7YiIiIiIio6lVw+3xRZa+p7n4DbBOVYTV9urEdwmGNEzoot0mLeHmwdCOoXgld6vIKRTCIPtxxTncBvh1VdfxcGDB7Fo0SL07dsXp06dQr169bBp0ybMmTMHx48ft3UVixTncBMRERE9nmLiYtBlfhejhl87qh0RPSPa5B5hTbwGnqGeJi9kZu4c7tzKZ88zFRbncBehjRs3Yu3atejQoQNUKpWS3qxZM1y+fNmGNSMiIiKix40l5lXrWWP1cP0WWqYsZFaUW2jpe56JrIEBtxFu376NqlWr5khPTEw0CMCJiIiIiCzFkvOqgaxAPvJkpEnHRJ6MhCZeY3IwzC206HHBOdxG8PHxwdatW5W/9UH2kiVL0LFjR1tVi4iIiIgeE5aeVw0UbvVwU+kXMnNUO+abr6gWMiOyFfZwG2HevHnw9/fHuXPnkJGRgU8//RTnzp3D77//jt9++83W1SMiIiKiUiwmLgbDvhtWYG9wakYqhi4eata8asD6q4dzCy16HDDgNkKXLl1w4sQJfPDBB2jRogV27dqFNm3a4NChQ2jRooWtq0dEREREpZg15lUDtlk9nFtoUWnHVcopB65STkRERFQ8aOI1qDOzjklDvc1d0dvWq4cTlSTGxkycw50HrVZr8P/5/bO0L7/8Ep6ennByckL79u1x5MiRPPOePXsWTz/9NDw9PaFSqbBo0SKL14+IiIiILMOa86r1q4eboihXDycqjRhw58HNzQ23bt0CAFSsWBFubm45/unTLWnt2rWYOnUqZs+ejWPHjqFly5bo06ePUrdHJSUloV69evjggw9QvXp1i9aNiIiIiCzL2vOqwwLCClzITI+rhxMVjHO487B3715UqlQJALBv3z6b1WPhwoUYP348Ro8eDQD45ptvsHXrVnz//feYOXNmjvxt27ZF27ZtASDXx4mIiIio5LD2vGr96uFDFw/Nd944Vw8nMg4D7jx079491/+3prS0NBw9ehShof+7c2hnZwdfX18cOnTIJnUiIiIiIuvxa+oHtb3a5HnVvk18zS6Tq4cTFR0G3EZYtmwZnJ2d8eyzzxqkr1u3DklJSQgJCbFIuXfu3EFmZiaqVatmkF6tWjWcP3++yMpJTU1Faur/7mDq56VnZmYiMzNrzpBKpYKdnR10Oh2yr7OXV7qdnR1UKlWe6frzZk8HAJ1OZ1S6vb09RMQgXV+XvNKNrTvbxDaxTWwT28Q2sU1sU3FpU3WX6ujfoj82ntgIYwV6BaK6S3XodDqz29S6dmv8POFnaOI12HNhDx6mPISzkzN6N+6tzNkWEb5ObNNj26ZHy8gLA24jhIeH49tvv82RXrVqVUyYMMFiAbe1hIeHY+7cuTnSL1++DGdnZwCAq6sratSogZs3byIhIUHJU6VKFVSpUgUajQaJiYlKevXq1VGxYkXExcUhLS1NSa9VqxacnZ1x+fJlgzdw3bp1oVarcfHiRYM6NGzYEBkZGbh69aqSZmdnh0aNGiExMRHXrl1T0suUKYN69eohISEBN27cUNLLly+P2rVr4969e7hz546SzjaxTWwT28Q2sU1sE9tUEto0otkIbDu9DWmZ/zsuL45qRwxvOhwXL14ssjYFNg5ElSpV8O+//yLxTiIu3rlY6DZlV1peJ7bp8WrTw4cPYQxuC2YEJycnnD9/Hp6engbpcXFxaNKkCZKTky1SblpaGsqVK4f169dj4MCBSnpISAju37+PTZs25Xu8p6cnXnvtNbz22mv55suth1v/QdAvcV8S7zoVVEe2iW1im9gmtoltYpvYppLSpk0nNmH4kuEFzqteNW4VBrQaUCLaVFB6SXyd2KbHp01arRaVKlUqcFsw9nAboWrVqjh16lSOgPvkyZOoXLmyxcotU6YMvL29sWfPHiXg1ul02LNnD15++eUiK8fR0RGOjjlXo7S3t4e9vb1Bmv5N+ShT0x89rznpKpXKpPSiqjvbxDaxTWyTOelsE9vENrFN+aUXVPdg72BEVzZvXnVxbZMx6SXtdTImnW0qHW3K61yPYsBthGHDhmHy5MmoUKECunXrBgD47bff8Oqrr2Lo0KEWLXvq1KkICQmBj48P2rVrh0WLFiExMVFZtXzUqFHw8PBAeHg4gKxe8XPnzin/r9FocOLECTg7O6NBgwYWrSsRERERWY6Ppw82TNoATbwGUbFR0CZr4VLWBb5NfLkXNlExxSHlRkhLS8PIkSOxbt06qNVZ9yh0Oh1GjRqFb775BmXKlLFo+V988QU+/PBD3LhxA61atcJnn32G9u3bAwB69OgBT09PLF++HEDWMPe6devmOEf37t3x66+/GlWeVquFq6trgcMjiIiIiOh/NPEa7D63G9oULVycXODX1I+BMFEpZWzMxIDbBH/99RdOnjyJsmXLokWLFqhTp46tq2QRDLiJiIiIjBcTF4N52+Zh86nNOYZ6B3oFIiwgjFtoEZUyDLjJbAy4iYiIiIwTcSwCw74bVuBiZmsmrMHA1gOtVzEisihjYybO4c7D1KlT8e6776J8+fKYOnVqvnkXLlxopVoRERERUXERExdTYLANAKkZqRi6eCiiZ0Szp5voMcOAOw/Hjx9Heno6AODYsWNQqVS55ssrnYiIiIhKt3nb5hUYbOulZqQifHs4NkzaYOFaEVFxwiHleTh16hSaN2+e51LzpRmHlBMRERHlTxOvQZ2ZdZCpyyw48/9T26sRFx7HhdSISgFjY6bHL5o0UuvWrXHnzh0AQL169XD37l0b14iIiIiIiovd53abFGwDQEZmBqJioyxUIyIqjjikPA8VK1bE1atXUbVqVcTFxUGn09m6SkRERESlhjW30LJEWdoUrXnHJZt3HBGVTAy48/D000+je/fuqFGjBlQqFXx8fGBvb59r3itXrli5dkRERESWYelA2JpbaFmyLBcn86bduZTldD2ixwnncOdjx44duHTpEiZPnox33nkHFSpUyDXfq6++auWaWRbncBMRET1+rBEIW3MLLUuXpYnXwDPU0+C5KgjncBOVHtyHu5CyL5o2evRofPbZZ3kG3KUNA24iIqLHizUC4Zi4GHSZ38WoVb0d1Y6F2kLLWmUFfxWMiOMRxudvE8xVyolKCS6aVkjZF0377bffkJaWZuMaERERERU9U/eSjomLMascc7bQMpe1ygoLCIOj2tGovE4OTgj1DzWrHCIquRhw50G/aBoALppGREREpZY1glNNvAaRJyNNOibyZCQ08ZpiXZaPpw/WTFhTYNDtqHbE6vGri2xuOhGVHAy486BfNK1u3brKomn16tXL9R8RERFRSWSt4NSaW2hZe7uuga0HInpGNILbBENtb7gesdpejeA2wYieEV3oOelEVDJxlfI8LF68GMHBwcqiaePHj39s5nATERFR8WKplcMLE5yGdAox+hhrbqFli+26fDx9sGHSBmjiNYiKjYI2WQuXsi7wbeLLBdKIHnMMuPPRt29fAMDRo0fx6quvMuAmIiIiq7L0yuHWCk6tuYWWLbfr8nDzMOlGBBGVfhxSboRly5ahQoUKuHTpEnbu3Ink5GQAABd4JyIiIkuJOBaBLvO7IOJ4RI6tpzIyMxBxPOvxjcc3ml2GtYJTv6Z+OYZbF0Rtr4ZvE1+TjrF2WUREBWHAbYR79+6hd+/eaNSoEQICAvDff/8BAMaOHYvXX3/dxrUjIiKi0sZaK4dbKzj1cPNAoFegSccEtQwyazi2NcsiIioIA24jvPbaa3BwcMA///yDcuXKKelDhgzBjh07bFgzIiIiKo2sta2VNYNTa26hxe26iKi4YMBthF27dmH+/PmoVauWQXrDhg3x999/26hWREREVBpZc1srwHrBqTW30OJ2XURUXDDgNkJiYqJBz7bevXv34Oho3BcUERERkTGsva2VNYNTa26hxe26iKg44CrlRujatStWrFiBd999FwCgUqmg0+mwYMEC9OzZ08a1IyIiotLEFtta6YPT8O3hiDwZmWNF9KCWQQj1Dy2SnmBrbqHF7bqIyNYYcBthwYIF6N27N2JiYpCWlobp06fj7NmzuHfvHg4ePGjr6hEREVEpYqttrawdnFpzCy1u10VEtqIS7m1llISEBHzxxRc4efIkHj58iDZt2uCll15CjRo1bF21IqfVauHq6oqEhAS4uBR+T0oiIiIyniZeA89QzxxbgeVHba9GXHgce22JiKzE2JiJPdxGcnV1xZtvvmnrahAREVEpp185POJ4hNHHcFsrIqLiiQG3ke7fv4+lS5ciNjYWANCsWTOMGTMGrq6uNq4ZERERlTZhAWHYdnqbUVuDcVsrIqLii6uUGyEmJgb169fHJ598gnv37uHevXtYuHAh6tevj2PHjtm6ekRERFTKcFsrIqLSgXO4jdC1a1c0aNAA3333HdTqrEEBGRkZGDduHK5cuYL9+/fbuIZFi3O4iYiIioeYuBirrBxORESmMTZmYsBthLJly+L48eN48sknDdLPnTsHHx8fJCUl2ahmlsGAm4iIyDiaeA12n9sNbYoWLk4u8GvqZ5G51NzWioioeOGiaUXIxcUF//zzT46A+99//0WFChVsVCsiIiKylZi4GMzbNg+bT23O0fMc6BWIsICwIu155rZWREQlE+dwG2HIkCEYO3Ys1q5di3///Rf//vsv1qxZg3HjxmHYsGG2rh4RERFZUcSxCHSZ3wURxyNybN2VkZmBiONZj288vtE2FSQiomKDPdxG+Oijj6BSqTBq1ChkZGR9sTo4OGDSpEn44IMPbFw7IiIispaYuBgM+25YgauHp2akYujioYieEc051kREjzHO4TZBUlISLl++DACoX78+ypUrZ+MaWQbncBMRUUlmyXnVwV8Fm7Q/dnCbYGyYtKFIyiYiouKDc7iLQGZmJs6ePYuGDRuibNmyKFeuHFq0aAEASE5OxqlTp9C8eXPY2XFkPhERka1Zel61Jl6DyJORJh0TeTISmngNFzgjInpMMVLMx48//ogxY8agTJkyOR5zcHDAmDFjsGrVKhvUjIiIiLKzxrzq3ed2I1OXadIxGZkZiIqNMrtMIiIq2Rhw52Pp0qV44403YG9vn+MxtVqN6dOnY/HixTaoGREREemZOq86Ji7GrHK0KVrzjks27zgiIir5OKQ8HxcuXECHDh3yfLxt27aIjY21Yo2IiIhKLkvNrZ63bV6BwbZeakYqwreHmzWv2sXJvHVNXMpyPRQioscVA+58JCYmQqvN+670gwcPkJSUZMUaERERFT1LLjIGWHZutTXnVfs19YPaXp1jyHp+1PZq+DbxNakcIiIqPRhw56Nhw4b4/fff4eXllevj0dHRaNiwoZVrRUREVDQsvcgYkDW3Oq/h3vq51dtOb8OaCWswsPVAk89fmHnVIZ1CTDrOw80DgV6BJq1SHtQyiAumERE9xjiHOx/Dhw/HW2+9hVOnTuV47OTJk3j77bcxfPhwG9SMiIiocKyxyJg15lZbe151WEAYHNWORuV1cnBCqH+oWeUQEVHpwIA7H1OmTEGLFi3g7e0Nf39/TJkyBVOmTIG/vz98fHzQvHlzTJkyxdbVJCIiMom1FhkzZ261qaw9r9rH0wdrJqwpMOh2VDti9fjVhR4hQEREJRsD7nw4ODhg165deP/99/Hff/9h8eLF+Pbbb/Hff//h/fffx65du+Dg4GDrahIREZnEGoFwYeZWm0I/r9oUhZ1XPbD1QETPiEZwm+AcZavt1QhuE4zoGdFmDZEnIqLSRSUiYutKUPGi1Wrh6uqKhIQEuLhwZVUiotJEE69BnZl1TJr3rLZXIy48zqS5yMsPLsfo5aNNrt/y0ctNnlsd/FWwSfOqg9sEm7VKeW408RpExUZBm6yFS1kX+Dbx5ZxtIqLHgLExExdNIyIiKoYstXK4tRYZs+bc6rCAMGw7vc2oXvuinlft4eZh8g0CIiJ6fDDgJiIiMkFJ3kILsF4gbM251fp51UMXD8036Oa8aiIisjYG3EREREYoDVtoAdYLhK29Z7V+XnX49nBEnozM8RoFtQxCqH8og20iIrIqzuGmHDiHm4jIUH6BsJ6j2rFQgXBMXAy6zO9i1LBoR7UjomdEmxU8auI18Az1NDkQNnUON2C7udWcV01ERJZmbMzEVcqJiIjyUZq20AKy5hwHegWadExQyyCzAlZb7Vmtn1f9Su9XENIphME2ERHZDANuI2RmZmLp0qUYPnw4fH190atXL4N/RERUepWmLbT0rBUIc89qIiJ63DHgNsKrr76KV199FZmZmWjevDlatmxp8I+IiEonawXChVk53BzWDIS5ZzURET3OuGiaEdasWYOff/4ZAQEBtq4KERFZUWncQkvPmouM+Xj6YMOkDZxbTUREjx0G3EYoU6YMGjRoYOtqEBGRlZXGLbSys3YgzD2riYjoccOA2wivv/46Pv30U3zxxRdQqVS2rg4RET3CUntjl9YttB7FQJiIiMgyGHAbITo6Gvv27cP27dvRrFkzODg4GDz+yy+/2KhmRESPN0vvjW2tQFi/crgpW2iZu3I4ERERWQ8XTTNCxYoVMWjQIHTv3h1VqlSBq6urwT9L+/LLL+Hp6QknJye0b98eR44cyTf/unXr8OSTT8LJyQktWrTAtm3bLF5HIiJrizgWgS7zuyDieESOgDgjMwMRx7Me33h8o9llPA5baBEREZHlqEREbF0JytvatWsxatQofPPNN2jfvj0WLVqEdevW4cKFC6hatWqO/L///ju6deuG8PBw9O/fH6tWrcL8+fNx7NgxNG/e3Kgyjd3EnYjIVmLiYtBlfhejtutyVDsieka02T3dppTl5OCEA9MPmF3WxuMbMXTx0HzLclQ7Ys2ENVzVm4iIyIaMjZkYcJvg9u3buHDhAgCgcePGcHd3t3iZ7du3R9u2bfHFF18AAHQ6HWrXro1XXnkFM2fOzJF/yJAhSExMxJYtW5S0Dh06oFWrVvjmm2+MKlP/5rl9+3aubx47Ozuo1f+bjZCWlpbnuVQqlcEQfFPypqenI6+3p6XyAlmL5JmTNyMjAzqdrkjyOjg4KOsFWCpvZmYmMjPzXn3ZlLxqtRp2dnbFJq9Op0NGRt5DgO3t7WFvb19s8ooI0tPTiyRv9s+npfIC+X+WrXGNCP4q2KTh1wNbDcTa8WuNqkNun/tNJzdh5PcjCwyEfxzzIwa0HKCkmXONiImLwbyt/z9MXpdtmLydGv29+mP6U9PRoUEHXiMKkbc4fO55jeDviEfz8ncErxG8Rpie15bXCK1WC3d39wIDbs7hNkJiYiJeeeUVrFixQrkI2dvbY9SoUfj8889Rrlw5i5SblpaGo0ePIjT0f8MG7ezs4Ovri0OHDuV6zKFDhzB16lSDtD59+mDjxo15lpOamorU1P/9iNRqs1bX/fjjj+Hk5JQjf4MGDTB06FAAWW/Gjz76KM8PWJ06dTBy5Ejl708//RRJSUm55q1ZsybGjBmj/P3ll18iISEh17zu7u6YNGmS8nosXrwYd+7cyTWvq6srXnvtNeh0OogIli1bhv/++y/XvOXKlcPrr78OOzs76HQ6rFy5Ev/880+ueR0cHDBjxgzY2dlBpVJh7dq1uHTpUq55AeCtt94CkPUa/vLLL4iNjc0z7/Tp01GmTBmoVCps2bIFJ0+ezDPvlClTUL58eQDAzp07ERMTk2feV155RZkGERUVhT/++CPPvJMmTULlypUBAL/99hsOHDiQZ96xY8fCw8MDOp0Ohw4dwp49e/LMO3LkSNSrVw8igpiYGOzYsSPPvEOGDEGjRo1gZ2eHU6dOITIy7/2Qg4OD0bRpU9jZ2SE2Nhbr16/PM29gYCBatmwJALh06RLWrFmTZ96+ffvCxyertzIuLg4rV67MM6+vry86dOgAALh+/Tq+//77PPN2794d3bp1g4jg9u3b+Pbbb/PM27FjRzz11FPQ6XSIj49XbsDlxtvbG/369QMAPHjwAJ988kmeeb28vBAUFAR7e3ukpaXhgw8+yDNvkyZN8PTTT0OlUsHOzg7h4eF55rX0NcKsvbFPRCL0vVC42Of8QjT2GjGq0igcSjqE80nnDQJhO9ihcdnG6FKhC85tO4dz284BMP8a4V3HG0Pdh6Jutbq4knIFqZIKR5Uj6jnVg8sdF+xatQutprfiNQK8RujxGpGFvyP+h78jsvAakYXXiCxFfY1ISUnJsw3ZMeA2wtSpU/Hbb79h8+bN6Ny5M4CshdQmT56M119/HV9//bVFyr1z5w4yMzNRrVo1g/Rq1arh/PnzuR5z48aNXPPfuHEjz3LCw8Mxd+5co+uVmJiIixcvAgCqVKmSb96UlBQlL4B87/KKiEHe/O6S6etx7do1APnfzdLfzbx37x7u3LmT74cjMzMT9+7dQ5UqVaDRaJCcnJxnXp1Oh4sXL6JWrVpwdnbO88Otp29bw4YN8717DACXL1+GWq02uJudlytXrig3Rgqqw40bN3Dr1i0AQHx8fIHnvnz5MnQ6He7du5dvPhFBWloarl69mucPlux1qFevHhISEpS65OX69etwdXVFjRo18rwgZj+vg4MDqlevnm8+ALh586byeuR3txsAbt26peS9fft2vnmzv9/v3r1rVD0SEhIKbJv+hlhcXFyBr1tCQgLS0tKgVqtx5cqVfPNqtVpcvnwZjRo1KvC98+DBA1y8eBHly5dH7dq1881r6WtExJkIk/fG1kGHKylX0Kp8qxyPGXuN8CjjgREVRqDfs/1w7OYx/P3f37h07hLc091zDeQLe41wsXfJtb4ArxF6vEZk4TXif4/xd0QWXiOy8BqRhdeI/z1miWtEQTik3AhVqlTB+vXr0aNHD4P0ffv2YfDgwQV+eMx1/fp1eHh44Pfff0fHjh2V9OnTp+O3337D4cOHcxxTpkwZ/PDDDxg2bJiS9tVXX2Hu3Lm4efNmruXk1sNdu3Zt3LhxQxkeob8bpdPpoFKplGEeKpVKGX6U/a2kv1srIgZDQjIyMqBSqXJcnPT59cNdgKwPgX4o0qNfLGq1Gmq1WknXf2Ds7OwgIgb57ezs4OjoqNRRPyQke5uy193R0VFJT0tLUx7T1zF7/jJlyijpqampOcrNXnf9l56dnR0yMjJyDBOyt7dX6q4fhqUvLzMz0+Dc2euuVqsNhmzpy8zeJn3+7M9vZmam8jzk9vqVKVNGKVM/DOvRNunpnwd9XfX1yN4mPQcHB6jVauW10OfN7fVQq9Wwt7eHnZ0d0tPTDZ6zR/Prh4Lp3wPZX7vsr19mZqbB0Cog9yF0+rZmf1/qy3q0Tfq66MvQ59U/Z7m9HvrXWH8+/fs9t/z650yn00Gn0xm83x/9POlfO/3rlv3L5NHXTz9ky97eHjqdzuA6oK+Lvq36vPr0lJSUXN9j1rhGfL73c0z5eQpM9fEzH+Plni/zGgFeI3iNKN3XCD3+juA1gtcIw+eM14iivUZotVpUr16dQ8qLQlJSUo5eYwCoWrVqgXdzCqNKlSqwt7fPESjfvHkzz7tv1atXNyk/kPXF4OiYc2XcsmXLomzZsgXW05i7p3rZ3+RFkVefx5i8+ouEsXWws7PLdUh9XnJ7DvPi4OCQY3u5/OqR/UKSH1s+v/p8xuZVqVQmvXdMec5UKpVJr50p7TPlnMbWF4BRr7H+y9jY94P+y8IYdnZ2Rn3e9Ux5fov6GlGxXEWjz5dd5QqV860LrxGm5+U1wrx8+ry8RmTh74gsvEbwGvFoXl4jshTXa0RBPeR63BbMCB07dsTs2bMNhhAlJydj7ty5Bj3PRa1MmTLw9vY2mMei0+mwZ8+ePMvt2LFjjnkvu3fvtmg9iYisSb83tinM2RubiIiIqLDYw22ETz/9FH369EGtWrWUBRJOnjwJJycn7Ny506JlT506FSEhIfDx8UG7du2waNEiJCYmYvTo0QCAUaNGwcPDQ1l44NVXX0X37t3x8ccfo1+/flizZg1iYmKwePFii9aTiMha9Htjm7JKubl7YxMREREVBgNuIzRv3hwXL17ETz/9pCxWNmzYMIwYMcKkoRPmGDJkCG7fvo23334bN27cQKtWrbBjxw5liPs///yjDHECgE6dOmHVqlV46623EBYWhoYNG2Ljxo1G78FNRFQShAWEYdvpbUbvjR3qH1pgPiIiIqKixkXTKAdjN3EnIrKljcc3YujioQXujb1mwhoMbD3QehUjIiKiUs/YmIk93HmIjIyEv78/HBwc8t2zDwCCgoKsVCsiItIb2HogomdEI3x7OCJPRiIj83+rz6rt1QhqGYRQ/1D4ePrYsJZERET0OGMPdx7s7Oxw48YNVK1a1WDI9qNyW3a+pGMPNxGVNJp4DaJio6BN1sKlrAt8m/hyzjYRERFZDHu4Cyn7XmyP7stGRETFi4ebB0I6hdi6GkREREQGuC2YEVasWGGwkbteWloaVqxYYYMaERERERERUXHHIeVGsLe3x3///YeqVasapN+9exdVq1blkHIiIiIiIqLHiLExE3u4jSAiUKlUOdKvXbsGV1dXG9SIiIiIiIiIijvO4c5H69atoVKpoFKp0Lt3b6jV/3u6MjMzcfXqVfTt29eGNSQiIiIiIqLiigF3PgYOHAgAOHHiBPr06QNnZ2flsTJlysDT0xNPP/20jWpHRFT8aeI12H1uN7QpWrg4ucCvqR9XDyciIqLHBgPufMyePRsA4OnpiSFDhsDJycnGNSIiKhli4mIwb9s8bD61Ocf+2IFegQgLCOP+2ERERFTqcdE0yoGLphFRYUQci8Cw74YhNSPn7g56jmpHrJmwBgNbD7RexYiIiIiKCBdNK0KZmZn46KOP0K5dO1SvXh2VKlUy+EdERFli4mIKDLYBIDUjFUMXD0VMXIyVakZERERkfQy4jTB37lwsXLgQQ4YMQUJCAqZOnYrg4GDY2dlhzpw5tq4eEVGxMW/bvAKDbb3UjFSEbw+3cI2IiIiIbIcBtxF++uknfPfdd3j99dehVqsxbNgwLFmyBG+//Tb++OMPW1ePiKhY0MRrEHky0qRjIk9GQhOvsVCNiIiIiGyLAbcRbty4gRYtWgAAnJ2dkZCQAADo378/tm7dasuqEREVG7vP7UamLtOkYzIyMxAVG2WhGhERERHZFgNuI9SqVQv//fcfAKB+/frYtWsXAODPP/+Eo6OjLatGRFRsaFO05h2XbN5xRERERMUdA24jDBo0CHv27AEAvPLKK5g1axYaNmyIUaNGYcyYMTauHRFR8eDiZN6uBi5luRsCERERlU7cFswMhw4dwqFDh9CwYUMEBgbaujpFjtuCEZV+mngNdp/bDW2KFi5OLvBr6gcPN49Cn9Mz1NNg3+2CqO3ViAuPK3TZRERERNZkbMyktmKdSo2OHTuiY8eOtq4GEZHJYuJiMG/bPGw+tdkgMFbbqxHoFYiwgDD4ePqYdW4PNw8EegUi4niE0ccEtQxisE1ERESlFnu48xAZafxKu0FBQRasifWxh5uodIo4FlHgHtmOakesmbAGA1sPNKuMmLgYdJnfxaitwZwcnHBg+gGzA3wiIiIiWzE2ZmLAnQc7O+Omt6tUKmRmmrYqb3HHgJuo9DElEHZUOyJ6RrTZgfDG4xsxdPFQiwb2RERERLZkbMzERdPyoNPpjPpX2oJtIiqd5m2bZ1SwDQCpGakI3x5udlkDWw9E9IxoBLcJhtrecOaS2l6N4DbBiJ4RzWCbiIiISj32cJsoJSUFTk5Otq6GRbGHm6h00cRrUGdmHZP2yC6qxcw08RpExUZBm6yFS1kX+Dbx5ZxtIiIiKvHYw12EMjMz8e6778LDwwPOzs64cuUKAGDWrFlYunSpjWtHRJS/3ed2mxRsA0BGZgaiYqMKXbaHmwdCOoXgld6vIKRTCINtIiIieqww4DbC+++/j+XLl2PBggUoU6aMkt68eXMsWbLEhjUjIiqYNkVr3nHJ5h1HRERERFkYcBthxYoVWLx4MUaMGAF7e3slvWXLljh//rwNa0ZEVDAXJ/OmhriU5ZQSIiIiosJgwG0EjUaDBg0a5EjX6XRIT0+3QY2IiIzn19Qvx+JlBVHbq+HbxNdCNSIiIiJ6PDDgNkLTpk1x4MCBHOnr169H69atbVAjIiLjebh5INAr0KRjgloGcb41ERERUSGZ1uXxmHr77bcREhICjUYDnU6HX375BRcuXMCKFSuwZcsWW1ePiKhAYQFh2HZ6m1Fbgzk5OCHUP9QKtSIiIiIq3djDbYQBAwZg8+bNiIqKQvny5fH2228jNjYWmzdvhp+fn62rR0RUIB9PH6yZsAaOasd88zmqHbF6/Gr4ePpYqWZEREREpRf34S5ARkYG5s2bhzFjxqBWrVq2ro5VcB9uItvQxGuw+9xuaFO0cHFygV9TvyIf1h0TF4Pw7eGIPBmJjMwMJV1tr0ZQyyCE+ocy2CYiIiIqgLExEwNuIzg7O+PMmTPw9PS0dVWsggE3kXXFxMVg3rZ52Hxqc44gONArEGEBYUUeBGviNYiKjYI2WQuXsi7wbeLLOdtERERERmLAXYQGDBiA4OBghISE2LoqVsGAm8iQJXueI45FYNh3w/KdW+2odsSaCWswsPXAIimTiIiIiArH2JiJi6YZwd/fHzNnzsTp06fh7e2N8uXLGzweFBRko5oRkSVZuuc5Ji6mwGAbAFIzUjF08VBEz4jmcG8iIiKiEoQ93Eaws8t7bTmVSoXMzEwr1sby2MNNJYGl5ztbo+c5+KtgRByPMD5/m2BsmLTBrLKIiIiIqOhwSDmZjQE3FWfWmO8cExeDLvO7GLWFlqPa0ayeZ028BnVm1kGmzvgbdmp7NeLC4zjXmoiIiMjGjI2ZuC1YAdLT06FWq3HmzBlbV4XosRdxLAJd5ndBxPEIg2AbADIyMxBxPOvxjcc3FqqcedvmGRVsA1nDvcO3h5tcxu5zu00KtoGsNkbFRplcFhERERHZBgPuAjg4OOCJJ54odcPGiUoaU+c7x8TFmFWOJl6DyJORJh0TeTISmniNScdoU7Qm5VeOSzbvOCIiIiKyPgbcRnjzzTcRFhaGe/fu2boqRI8ta/Q6A9breXZxMm+6hktZTvMgIiIiKim4SrkRvvjiC1y6dAk1a9ZEnTp1cqxSfuzYMRvVjOjxUJheZ1PnO1ur59mvqR/U9uocQ+Pzo7ZXw7eJr6lVIyIiIiIbYcBthIEDB9q6CkSPtcL0Ood0CjHpOGv1PHu4eSDQK9CkVcqDWgZxwTQiIiKiEoQBtxFmz55t6ypQKWXpra2sXY6lyrLmfGdr9jyHBYRh2+ltRg2Vd3JwQqh/qMllEBEREZHtMOA2wdGjRxEbGwsAaNasGVq3bm3jGlFJZY2traxZjqXLsuZ8Z2v2PPt4+mDNhDUYunhogft9rx6/usheKyIiIiKyDu7DbYRbt25h6NCh+PXXX1GxYkUAwP3799GzZ0+sWbMG7u7utq1gEeM+3JYVcSyiwNW2HdWOWDNhDQa2Hljsy7FGWZp4DTxDPU3udTZ3z2pT9uF2cnDCgekHChUMx8TFIHx7OCJPRua4WRHUMgih/qEMtomIiIiKEWNjJgbcRhgyZAiuXLmCFStWoEmTJgCAc+fOISQkBA0aNMDq1attXMOixYDbckwJ5BzVjoieEW1WoGWtcqxZVvBXwSb1Oge3CcaGSRtMLkdv4/GNRvU8F8UNCz1NvAZRsVHQJmvhUtYFvk18OWebiIiIqBhiwF2EXF1dERUVhbZt2xqkHzlyBE899RTu379vm4pZCANuy7FW0GjN4NRaZVm711lfJnueiYiIiOhRxsZMnMNtBJ1OBwcHhxzpDg4O0Ol0NqgRlUTW2trKmltoWbMsW8x39vH0wYZJG9jzTERERERmsbN1BUqCXr164dVXX8X169eVNI1GgylTpqB37942rBmVJIXZ2qo4lmPtsgBgYOuBiJ4RjeA2wVDbG94vVNurEdwmGNEzootsiLeeh5sHQjqF4JXeryCkUwiDbSIiIiIyCnu4jfDFF18gKCgInp6eqF27NgDg33//RfPmzbFy5Uob145KCmttbWXNLbSsWZYee52JiIiIqKRgwG2E2rVr49ixY4iKisL58+cBAE2aNIGvr+n77tLjy1pbW1lzCy1rlvUofa8zEREREVFxxYDbSCqVCn5+fvDz87N1VaiE8mvqB7W92uStrXybmHZjx1rlWLssIiIiIqKShnO487F37140bdoUWm3O4a8JCQlo1qwZDhw4YIOaUUnk4eaBQK9Ak44Jahlk8jBpa5Vj7bKIiIiIiEoaBtz5WLRoEcaPH5/rMu+urq6YOHEiFi5caLHy7927hxEjRsDFxQUVK1bE2LFj8fDhw3yPWbx4MXr06AEXFxeoVKpSt2VZSRcWEAZHtaNReZ0cnBDqH1qsy7F2WUREREREJQkD7nycPHkSffv2zfPxp556CkePHrVY+SNGjMDZs2exe/dubNmyBfv378eECRPyPSYpKQl9+/ZFWFiYxepF5tNvbVVQgFrYra2sVY61yyIiIiIiKklUIiK2rkRx5eTkhDNnzqBBgwa5Pn7p0iW0aNECycnJRV52bGwsmjZtij///BM+PlkByo4dOxAQEIBr166hZs2a+R7/66+/omfPnoiPj0fFihVNKtvYTdzJfDFxMQjfHo7Ik5EG85/V9moEtQxCqH9okQSm1irH2mUREREREdmSsTETF03Lh4eHR74B96lTp1CjRg2LlH3o0CFUrFhRCbYBwNfXF3Z2djh8+DAGDRpkkXLJOqy1tZU1t9Didl1ERERERIYYcOcjICAAs2bNQt++feHk5GTwWHJyMmbPno3+/ftbpOwbN26gatWqBmlqtRqVKlXCjRs3irSs1NRUpKamKn/rF4nLzMxEZmYmgKxV2u3s7KDT6ZB9UERe6XZ2dlCpVHmm68+bPR0AdDqdUen29vYQEYN0fV3ySje27tZsU3WX6niu/XMGbcp+nqJqUw3XGgjpFGKQnpmZWaLbxPce28Q2sU1sE9vENrFNbBPbZKs2PVpGXhhw5+Ott97CL7/8gkaNGuHll19G48aNAQDnz5/Hl19+iczMTLz55psmnXPmzJmYP39+vnliY2PNrrM5wsPDMXfu3Bzply9fhrOzM4CsReJq1KiBmzdvIiEhQclTpUoVVKlSBRqNBomJiUp69erVUbFiRcTFxSEtLU1Jr1WrFpydnXH58mWDN3DdunWhVqtx8eJFgzo0bNgQGRkZuHr1qpJmZ2eHRo0aITExEdeuXVPSy5Qpg3r16iEhIcHgpkT58uVRu3Zt3Lt3D3fu3FHS2Sa2iW1im9gmtoltYpvYJraJbWKbzGlTQYtZ63EOdwH+/vtvTJo0CTt37lTunqhUKvTp0wdffvkl6tata9L5bt++jbt37+abp169eli5ciVef/11xMfHK+kZGRlwcnLCunXrChxSbsoc7tx6uPUfBP18hJJ416mgOrJNbBPbxDaxTWwT28Q2sU1sE9vENpnTJq1Wi0qVKhU4h5sBt5Hi4+Nx6dIliAgaNmwINzc3i5anXzQtJiYG3t7eAIBdu3ahb9++XDSNiIiIiIjIhoyNmbgtmJHc3NzQtm1btGvXzuLBNgA0adIEffv2xfjx43HkyBEcPHgQL7/8MoYOHaoE2xqNBk8++SSOHDmiHHfjxg2cOHECly5dAgCcPn0aJ06cwL179yxeZyIiIiIiIvofBtzF2E8//YQnn3wSvXv3RkBAALp06YLFixcrj6enp+PChQtISkpS0r755hu0bt0a48ePBwB069YNrVu3RmRkpNXrT0RERERE9DjjkHLKgUPKiYiIiIiI8sYh5UREREREREQ2xICbiIiIiIiIyAIYcBMRERERERFZAANuIiIiIiIiIgtQ27oCRMWRJl6D3ed2Q5uihYuTC/ya+sHDzcPW1SIiIiIiohKEATdRNjFxMZi3bR42n9qMjMwMJV1tr0agVyDCAsLg4+ljwxoSEREREVFJwSHlRP8v4lgEuszvgojjEQbBNgBkZGYg4njW4xuPb7RNBYmIiIiIqERhwE2ErJ7tYd8NQ2pGar75UjNSMXTxUMTExVipZkREREREVFIx4CYCMG/bvAKDbb3UjFSEbw+3cI2IiIiIiKikY8BNjz1NvAaRJyNNOibyZCQ08RoL1YiIiIiIiEoDBtz02Nt9bjcydZkmHZORmYGo2CgL1YiIiIiIiEoDBtz02NOmaM07Ltm844iIiIiI6PHAgJseey5OLuYdV9a844iIiIiI6PHAgJsee35N/aC2N21LerW9Gr5NfC1UIyIiIiIiKg0YcNNjz8PNA4FegSYdE9QyCB5uHhaqERERERERlQYMuIkAhAWEwVHtaFReJwcnhPqHWrhGRERERERU0jHgJgLg4+mDNRPWFBh0O6odsXr8avh4+lipZkREREREVFIx4Cb6fwNbD0T0jGgEtwnOMadbba9GcJtgRM+IxsDWA21TQSIiIiIiKlFUIiK2rgQVL1qtFq6urkhISICLS/FZiVsTr8Huc7uhTdHCxckFfk39LDaPWhOvQVRsFLTJWriUdYFvE1/O2SYiIiIiIgDGx0ymLc1MZAMxcTGYt20eNp/ajIzMDCVdba9GoFcgwgLCinyIt4ebB0I6hRTpOYmIiIiI6PHCIeVUrEUci0CX+V0QcTzCINgGgIzMDEQcz3p84/GNtqkgERERERFRHhhwU7EVExeDYd8NQ2pGar75UjNSMXTxUMTExVipZkRERERERAVjwE3F1rxt8woMtvVSM1IRvj3cwjUiIiIiIiIyHgNuKpY08RpEnow06ZjIk5HQxGssVCMiIiIiIiLTMOCmYmn3ud3I1GWadExGZgaiYqMsVCMiIiIiIiLTMOCmYkmbojXvuGTzjiMiIiIiIipqDLipWHJxMm//b5eyxWffcCIiIiIierwx4KZiya+pH9T2pm0Tr7ZXw7eJr4VqREREREREZBoG3FQsebh5INAr0KRjgloGwcPNw0I1IiIiIiIiMg0Dbiq2wgLC4Kh2NCqvk4MTQv1DLVwjIiIiIiIi4zHgpmLLx9MHayasKTDodlQ7YvX41fDx9LFSzYiIiIiIiArGgJuKtYGtByJ6RjSC2wTnmNOttlcjuE0womdEY2DrgbapIBERERERUR5UIiK2rgQVL1qtFq6urkhISICLS/FZ9VsTr0FUbBS0yVq4lHWBbxNfztkmIiIiIiKrMzZmMm0ZaCIb8nDzQEinEFtXg4iIiIiIyCgcUk5ERERERERkAQy4iYiIiIiIiCyAATcRERERERGRBTDgJiIiIiIiIrIABtxEREREREREFsCAm4iIiIiIiMgCGHATERERERERWQADbiIiIiIiIiILYMBNREREREREZAEMuImIiIiIiIgsgAE3ERERERERkQUw4CYiIiIiIiKyAAbcRERERERERBbAgJuIiIiIiIjIAhhwExEREREREVkAA24iIiIiIiIiC2DATURERERERGQBDLiJiIiIiIiILIABdzF27949jBgxAi4uLqhYsSLGjh2Lhw8f5pv/lVdeQePGjVG2bFk88cQTmDx5MhISEqxYayIiIiIiIgIYcBdrI0aMwNmzZ7F7925s2bIF+/fvx4QJE/LMf/36dVy/fh0fffQRzpw5g+XLl2PHjh0YO3asFWtNREREREREAKASEbF1JSin2NhYNG3aFH/++Sd8fHwAADt27EBAQACuXbuGmjVrGnWedevW4bnnnkNiYiLUarVRx2i1Wri6uiIhIQEuLi5mt4GIiIiIiKg0MjZmMi4CI6s7dOgQKlasqATbAODr6ws7OzscPnwYgwYNMuo8+jdAfsF2amoqUlNTlb+1Wi0AIDMzE5mZmQAAlUoFOzs76HQ6ZL9Hk1e6nZ0dVCpVnun682ZPBwCdTmdUur29PUTEIF1fl7zSja0728Q2sU1sE9vENrFNbBPbxDaxTWxTfm16tIy8MOAupm7cuIGqVasapKnValSqVAk3btww6hx37tzBu+++m+8wdAAIDw/H3Llzc6RfvnwZzs7OAABXV1fUqFEDN2/eNJgTXqVKFVSpUgUajQaJiYlKevXq1VGxYkXExcUhLS1NSa9VqxacnZ1x+fJlgzdw3bp1oVarcfHiRYM6NGzYEBkZGbh69aqSZmdnh0aNGiExMRHXrl1T0suUKYN69eohISHB4DkqX748ateujXv37uHOnTtKOtvENrFNbBPbxDaxTWwT28Q2sU1skzltym9trew4pNzKZs6cifnz5+ebJzY2Fr/88gt++OEHXLhwweCxqlWrYu7cuZg0aVK+59BqtfDz80OlSpUQGRkJBweHPPPm1sOt/yDoh0eUxLtOBdWRbWKb2Ca2iW1im9gmtoltYpvYJrbJnDZptVpUqlSpwCHlDLit7Pbt27h7926+eerVq4eVK1fi9ddfR3x8vJKekZEBJycnrFu3Lt8h5Q8ePECfPn1Qrlw5bNmyBU5OTibVkXO4iYiIiIiI8sY53MWUu7s73N3dC8zXsWNH3L9/H0ePHoW3tzcAYO/evdDpdGjfvn2ex2m1WvTp0weOjo6IjIw0Odg2hyZeg93ndkObooWLkwv8mvrBw83D4uUSEREREREVZ+zhLsb8/f1x8+ZNfPPNN0hPT8fo0aPh4+ODVatWAQA0Gg169+6NFStWoF27dtBqtXjqqaeQlJSEiIgIlC9fXjmXu7s77O3tjSrX2Ls1MXExmLdtHjaf2oyMzAwlXW2vRqBXIMICwuDj6ZPn8URERERERCURe7hLgZ9++gkvv/wyevfuDTs7Ozz99NP47LPPlMfT09Nx4cIFJCUlAQCOHTuGw4cPAwAaNGhgcK6rV6/C09OzyOoWcSwCw74bhtSM1ByPZWRmIOJ4BLad3oY1E9ZgYOuBRVYuERERERFRScEebsqhoLs1MXEx6DK/S67B9qMc1Y6InhHNnm4iIiIiIio1jO3htrNinaiUmLdtnlHBNgCkZqQifHu4hWtERERERERU/DDgJpNo4jWIPBlp0jGRJyOhiddYqEZERERERETFEwNuMsnuc7uRqcssOGM2GZkZiIqNslCNiIiIiIiIiicG3GQSbYrWvOOSzTuOiIiIiIiopGLATSZxccp7QYB8jytr3nFEREREREQlFQNuMolfUz+o7U3bTU5tr4ZvE18L1YiIiIiIiKh4YsBNJvFw80CgV6BJxwS1DIKHm4eFakRERERERFQ8MeAmk4UFhMFR7WhUXicHJ4T6h1q4RkRERERERMUPA24ymY+nD9ZMWFNg0O2odsTq8avh4+ljpZoREREREREVHwy4ySwDWw9E9IxoBLcJzjGnW22vRnCbYETPiMbA1gNtU0EiIiIiIiIbU4mI2LoSVLxotVq4uroiISEBLi4Fry6uidcgKjYK2mQtXMq6wLeJL+dsExERERFRqWVszGTactNEufBw80BIpxBbV4OIiIiIiKhY4ZByIiIiIiIiIgtgwE1ERERERERkAQy4iYiIiIiIiCyAATcRERERERGRBTDgJiIiIiIiIrIArlJOOeh3itNqtTauCRERERERUfGjj5UK2mWbATfl8ODBAwBA7dq1bVwTIiIiIiKi4uvBgwdwdXXN83GVFBSS02NHp9Ph+vXrqFChAlQqlVHHaLVa1K5dG//++2++G78XlrXKsWZZpa0ca5bFNpWMskpbOdYsi20q/uVYsyy2qWSUVdrKsWZZbFPxL8eaZRX3NokIHjx4gJo1a8LOLu+Z2uzhphzs7OxQq1Yts451cXGx+AfCmuVYs6zSVo41y2KbSkZZpa0ca5bFNhX/cqxZFttUMsoqbeVYsyy2qfiXY82yinOb8uvZ1uOiaUREREREREQWwICbiIiIiIiIyAIYcFORcHR0xOzZs+Ho6FgqyrFmWaWtHGuWxTaVjLJKWznWLIttKv7lWLMstqlklFXayrFmWWxT8S/HmmWVljZx0TQiIiIiIiIiC2APNxEREREREZEFMOAmIiIiIiIisgAG3EREREREREQWwICbqITLyMiwdRWIiIiIiCgXDLjJ5qZOnYpnnnnG1tUoctZYj/DDDz/Ec889h+TkZIuXBQA6nQ6AZdumL8PS5VDh8fUp/h59jbJ/vkqqvn37YtWqVbauRpHKzMy0dRWIyAQ7d+5ESkqKratRpB48eGDrKpRaDLjJplJSUuDu7o7Lly9j4sSJtq5OkVKpVACA1NRUi5XRrFkz/PLLL5gyZYrFg+7k5GTY2WVdMo4dO2axctLT05Geng6tVqs8hyWdiFjlZoWeNW5a/Pvvv8rrs2HDBqSnp1ukHCBnGxjoG+fatWvKa7R06VIAUD7DJdXIkSNx+/ZtDB8+3NZVKTLJycmwt7cHAFy/ft3GtaHiQH+N4wi24uny5cvw9/fHq6++atHfeNb0+eefY9asWfjnn39sXZUiVVx+L5Tsb14q8ZycnPDyyy9j7NixOHz4MMaPH2+1si31Idy/fz/+/PNPAMC0adOwcuVKi5UVEBCA7du348cff8TkyZMtFnT//PPPCAsLAwC89tprGDhwIOLj44u8nI0bN2LcuHFo3rw5WrVqhYkTJyIyMrLIy9GzZG9f9tdcpVIpPVj6AMhSZaenpxsEVZa4afHbb79h1KhRiIqKwpQpU/Dss8/i5s2bRV6Onr4N8+bNw5YtW0rNjRjActehvXv3YsCAAThw4ACmTJmC8ePH4+rVqxYpy1q95qmpqYiPj0f//v0BAD/88AMOHz5slbItZdeuXXjvvfcAAC+++CICAwNLTa+ZNd4XxeXHdFESEahUKuzfvx+LFi2y2LW1NIx2yY013hP169fH5s2bsWrVKkyZMqVUfGYfPHiA1atX47vvvrN40G2tz61Op1N+L2g0GquUmRe1TUunYkun01mlJ0REUKFCBYSEhEBEsHTpUowfPx7fffddkZf1aJv0H0L9l1tRuHbtGmbPno2yZcuicuXKWLNmDY4ePWrRAKF3797YuHEjBg4cCAD47LPPULZs2SItQ0Tw6aef4vfff8dff/2FAwcOwM3NrUifuyVLlmDq1KmYPHkyGjdujJSUFCxbtgxbtmzB5cuXMWXKlCIpRy/7++HXX3+Fp6cnPD09i+Tc2Z+XFStW4ODBg/jjjz9Qq1Yt9OjRAxMnToSLiwsyMzOVnq2isHv3biQkJOCZZ57B+PHjcfv2bWzcuLHIzq/n7u4Oe3t7jB8/Hvfv38eZM2dQq1atIm9PdmlpaTh58iSOHTuGXr16oVy5ckV6/ryueUV9LczrOlTUfHx84OTkhOHDh+PBgwc4evQo6tata9H2/Pjjj/j7779x7949DBo0CO3bt0eZMmWKrKz09HS4u7vj0KFDys2Es2fPFtn5s8vreSrKax6Q9ZndtWsXfvvtN5w/fx4HDx6Ek5NTkZ0/O2t9r+vpy7pw4QIaN25c5OXrX4sjR47g6NGjaNKkCby8vFCpUqUiK0NfjohY5fqgb9OGDRswZswYvP7667hx4waqVatWpO+97PWOjY1Feno6vLy8iuTcuSnqz01+9OUsW7YMIoIxY8ZYpJx+/fph7dq1ePrppwEACxcutNhn15LOnj2LZs2aISwsDOXLl8eHH34InU6HiRMn4oknnijy8rK/9x48eICkpCRUq1bNouXMnTsXBw8exIIFC+Dl5WWbkV5C9IjMzEzl/7/99luZPn26DBw4UPbs2SP//fdfkZSh0+kM/isicv/+ffn000+lZcuWMm7cuCIpRy97m3788UeZM2eOvPDCCxITE1Ok5YiI7Nq1S2rXri0ODg7y008/5Si/qGR/7vTllitXTsaNGydJSUlFXk6/fv3Ezs5OQkJCJCUlpcjOLyKyZ88eqVq1qvzyyy8G6UeOHJF+/fqJh4eHrFy5ssjKy/7chYWFSb169WTdunWi1WqLrAwRkTfeeENq164tEydOlBkzZki7du3E3d1dWrduLXfu3BGRontvpKenS48ePcTLy0sGDBgglSpVklOnThXJubPT13f27NlSpkwZ6dChg2zfvj3H45awZMkSqV+/vsTFxRVpWdnPs3XrVvn6669lyZIlcvnyZYuVs3TpUnn99ddl+PDhsn37dsnIyCiSMkSy3gsiIu+99544OjpKy5YtZc+ePZKWliYiOa8dRWHatGlSrVo1efHFF6VXr17SpEkTmT17dpGUdfr0aaVNSUlJUqNGDSlfvrwsWrRIyVOUbcr+Ov3yyy/y7bffyrx58+TevXtFVkZ2vXr1EpVKJRMnTlSurUX9GmVv0/fffy9vvfWWDB8+XA4dOiT3798v0rKy27Vrl6hUKrl69apFzh8ZGSlOTk7SsmVLKVOmjLzwwgty5MiRIjt/amqqwd8rV66UBQsWyI8//igJCQkiUvjrw6PHHzx4UNzc3GTx4sUG6Q8fPhSRon1vTJs2TerVqyeOjo4yaNAg2b17d5GdW09f3z179siLL74o77zzjuzatSvH40VJq9VK165dZcyYMUV+7kdt3bpVnJycZNKkSZKcnFyk587rvVVUz9maNWukTZs2smLFCiVt4cKF4uHhIWFhYfL3338XSTl62es9d+5c8fX1FVdXV5k4caIsX768SMvSmzFjhtSoUUNWrVolGo3GImUYgwE35WnatGlSvXp1eeONN2TkyJHi7u4uM2bMkMTExEKdN/sF5MaNG6LVapUvrnv37lks6BbJalPt2rVl2LBhMnLkSFGpVLJkyRLlh2hh6NsVExMj7dq1k/bt20tQUJAcOnRIyVMUF0n9OR48eKB8Aevt3LmzyIJufTn6H7pvvfWWfPDBB6JSqeT111+X27dvF+r82X3wwQcyePBgSUtLU14L/fP5559/SosWLWTAgAGSnJxcpF/Oc+bMkWrVqsm+fftyDbYLU9ann34qNWrUMLipk5KSIp999pl4eHiIj4+P8r4vSg0bNhQ7Ozv5+OOPlbSieM70r4f+v9u3b5dt27aJv7+/+Pn5yYYNGwpdhl5+9W3fvr0899xzRVZWdvofn507d5b+/fuLo6Njkf54z15OrVq1ZNy4cTJ16lRRqVTy0UcfFfpG1qM/zvbv3y9//vmndO/eXTp27CibN2/ONbAvbMCwceNGqVOnjvJej4iIELVaLevWrSvUeUVEZs2aJQ4ODrJ3715JSkqSQ4cOiUqlktatW0vfvn1l06ZNSt6i/uE+bdo0qVOnjjz11FPSsWNHqVy5suzcubPQz5e+nqmpqaLVauXVV1+VcePGSdu2beWtt95Srq1FeRNGb9q0aeLh4SHjx4+X5557Tuzt7WXBggVFepM2u9u3b0u3bt3k008/FZGivXmVnp4uzz33nBKYrl27Vnx8fGT48OFy+PDhQpcxffp06dGjh/LcTJkyRdzd3aVZs2bStGlTeeqpp+TWrVtKfczx4YcfyooVKww++x988IH4+fmJSNb3/JYtW2TIkCHSvn17iYiIEBHz3+uP3kxq1KiRbN68WbZt2ybe3t7Su3dvpYyitHXrVilTpoz4+/uLl5eXNG3aVL7++mvl8aL87OrPtW3bNnF2dpbo6OgiO3detmzZYrGgW0Tko48+kjFjxsjIkSPl33//LbLznj9/Xp566inx8/Mz6NSwZNAtIvL222+Lu7u7/PzzzxIdHS1t2rSRli1bysWLF4u0nP3790utWrWU90B6errcunVLDhw4oNy4txYG3JSrHTt2SJ06deT48eMiIvL777+LSqWStWvXFuq82S/28+bNky5dukizZs1k8ODBcvLkSRH5X9DdqlUrmTBhQqHKyy4iIkI8PDzk2LFjIiJy4MCBHG0y56L/6BdtWlqaZGZmyubNm8XPz08CAgLkjz/+MMhj7o8bff22bt0qPXv2FG9vb+nRo4ecO3dOCVT1QffEiRPNvjmSvU2P9n6sXLlSCbr1vbQiIr/++qtZZYmIBAQEKD8wcrNkyRIpW7asXLp0yewyHvXff/+Jj4+P8iVz48YN+fPPPyUsLEyWL19eqC/NtLQ0GThwoMybN09J0/94TktLky+//FJq1KghH3zwgYgUzY+NlJQUuX79uvTu3Vs6duwobdu2lZ9//ll5X2T/8W5qednfD5cuXZIHDx4o760TJ06In5+f+Pn5GfxQ+/rrr826kZW9rMWLF8uqVasMfmB8//330r59e6XHrKh+qP3www9SrVo1JcBetmyZqFQqWb16dZGcX2/79u1Su3Zt+fPPP0UkqzdLpVIVegRH9uftwoULcvv2beUm0u3bt6Vz587SsWNH2bZtm5Lv3XffLVSZel9//bX4+/uLSFaPiYuLi3z11VciktUrd/To0UK9Tj179hRPT0+Da8yNGzekc+fO4ufnJ5GRkUp6Ub0fVqxYIdWqVZMTJ06ISNZ1VaVSyebNmwtVVvbX6dGAetq0adKmTRuDoFtE5MqVKyaXk5vNmzdL7dq1lTb9+eefolKp5Oeffy6S8+cVdOpvJhQF/XN+8+ZNSUpKkldeeUX57SCS9T3ftm1bGT58eKFulmVkZMgXX3wh7du3l2eeeUYuXLggzz77rJw6dUqSkpIkIiJCunbtKh06dChU0B0cHCyOjo6ybt065Ttn6dKlUq9ePfn4448lICBA+vfvL4GBgTJp0qQiGy2wY8cOmTFjhsEokb///lt69OghvXr1KtKg+9q1a/Lxxx/LN998IyIisbGxMnPmTPHw8JAvv/xSyWfuZ/fR4/Svw507d6R///4ya9Ysg3Rz6cs5evSorF+/Xr799luDERDZg+6iHAUYHh4uVapUkZCQEPHy8hJ3d3f57bffCn1e/fNx6dIl8ff3l169elkl6L58+bK0adNGGeWwf/9+cXJyku+//15E/tfJY45H3wubN2+Wpk2bysOHD+XIkSMSGhoqDRs2FDc3NwkKCpKzZ8+a3xATMeAmEcl5IVq1apUSAK1atUoqVKig/IB68OCBnDhxolB338PCwsTd3V1++uknWbVqlXTt2lXq1q2r9JDcu3dPPvvsM4OgpLBt+uqrr2TEiBEikvWj0NnZWbnDev/+feVL0xTZP9wbNmyQFStWGAyLXrdunfj5+Rn0dA8aNEgZam6OTZs2SYUKFSQ0NFR2794t7du3lzZt2siOHTuUAGf37t2iUqlk8uTJhWrTggULpE+fPhIcHCwbNmxQbhT89NNPYmdnJ5MnT5YDBw5IUFCQtGrVyqQvTH3ejIwMef7558Xb21u0Wq3B65a9l9vV1VW5AVQUP6r//vtvadSokSxdulQ2b94so0aNknbt2kmjRo2kZcuW8tFHH5ld1o0bN6RixYqybNkyg3T9udLS0qRbt27i6+tbqDbk9wPC19dX2rRpI+vWrcsxLNJcs2bNkvr160vTpk1l1KhRypfwyZMn5amnnpKePXvKnDlzpH///uLu7m7yD5zsz/X+/fulVatW0qlTJ6ldu7YsWbJEzp8/L+np6eLh4SELFiwoVFserdubb74pr7/+uohk9fw4OzsrPWdardas60Nu5axYsUIGDBggIlk9ctmvQ/Hx8cowdnOFhYVJo0aNpHbt2vLCCy8oPX13795VAoQ5c+ZIv379xNXV1eTreG6v6YcffiijRo2S6OhocXZ2NvgRvXLlSnn77bfNGrac/aZXz549pV69erJnzx7lOnTx4kXp0qWL+Pn5FWkgLJI13PG1114TEZHVq1eLi4uL8jpptdpcp0WZ4pNPPpEBAwbISy+9ZDA6ZPr06dK2bVuZNm2anDt3Tnr37p3vzcj8PNqmZcuWycCBA0Uk5/e6VqstssD+ypUrBgHH7du3pWbNmvL5558XyfnXr18vjRs3lpo1a0rVqlUNbriIZI246Nixo/Tv379Q08ZSU1Nl+fLl0rFjR+nSpYv06dNHHjx4ICJZr/u2bdukS5cu0qlTJ5OD7uzT88aMGSPOzs6ydu1a0el0cuHCBXnxxRelQYMGMm7cOCW4On36tLRt27bQAffNmzelatWqolKp5NVXXzV47O+//5aePXuKr6+vrFq1qlDliIicOXNGmjZtKk8++aRERUUp6VevXlWC7uw93abK/vlbtGiR/PjjjwbX6nnz5knVqlWV6SCFDep/+eUXqV69unh7e4unp6c0bdpUDhw4oHzHbtmyRSpUqCAjR440O+h+9D0UFhamPHdJSUkyZMgQqVSpUqE6OR4tq6Cge9asWWa/7x5tz7Vr16Rly5aSkpIiGzZsMPgOTEpKktWrV5tVVvZy9J+vv//+W+zs7KRLly5SsWJFGTt2rKxevVqioqKkUqVKFplCkRcG3GQgPDxcEhMTZenSpdKxY0fZt2+fuLi4GPyAWrVqlbz00kty9+5ds8rYsWOHtGzZUn7//XcRyeqtrVChgrRo0UKqVaum9EDfuXNHfv75Z7MC++wX1W+//VauX78uixYtkp49e8qmTZsMemD0eUJCQkzqEc5extSpU6VSpUrSoEED8fDwkJEjRyqPrV+/XgICAqRu3bri7e0tTzzxhNlD2K9cuSLe3t7KXenbt2+Lp6enVKlSRapXry47duxQLvJ79+6V2NhYk86fvU2ffPKJuLq6ypw5c8Tb21vat28vc+bMUZ6jNWvWSLVq1aR58+bStm1bk9q0a9cuWbNmjVLXNWvWiEqlyjGHR//a7927V3r06KEMKzW19zm/nhcPDw9xdHSUN954Q7n4+vn5SWhoqFHnzu0LXKvVSv369eWNN97IcbdW36bPPvtMGjduLImJiWbd0c1e7vfffy+TJ0+Wb7/9VrkpkZycLH5+ftKuXTv56aefJD4+Xrp16yYhISFmlRERESHVqlWT9evXy6xZs5SAXv8j/fTp0zJ69Gjp2rWrBAQE5JgaUJDs+d544w1p3769/P3333L+/Hl57733pFmzZtKiRQsJCwuTV155Rby8vMz+AZC9XTt27JB79+7JjBkzZPLkybJx40aDHwA6nU6+//57mTNnjsnvu+zlfPrpp3L+/Hn56aefpH379koQl/06tHLlSnn66aeNnius0+kMyti0aZPUrFlTIiMjZc6cOdKnTx/p0aOHHDhwQESybmQOGzZM+vTpI/369SvUa7R+/Xrl+nLmzBlxdHTMMWIoKSlJ+vbtKxMnTizUqIrNmzfL0qVLRaVSScuWLWXv3r3KtePixYvStWtX6dOnj9k9tdnrpv/OmTBhgowaNUr27dtnEJiKZH1PvvXWW2a3591335VKlSrJ2LFjpVu3btKoUSP57LPPlMffeustadOmjdSuXVvat29f6Btmn3zyidy+fVu+/PJL6dixo+zcuTPHe2/ZsmUyYcKEQk9zWblypdStW1cCAwPl6NGjynv5hRdekFGjRklmZqZZQY/+mKtXr0q1atVkwYIF8v7774u3t7d06tRJ9uzZY5B/7dq10rt3b7l27ZrJZWV/rVJTU2Xp0qXStm1bqVmzZo6RQtu3b5fu3btLgwYNJD4+3qjzf/HFFxIUFGTQA//8889LuXLlZM2aNUodHp22FRoaKl5eXiZP58rt+T579qy0bNlS2rdvn6O39J9//pHmzZvLK6+8YlI5uTl69Kg899xz4uzsLEuWLDF4LC4uTt58801xcnLK8ZipDh8+LK+99po4OTlJQECATJs2TTIyMuThw4cSEBAgM2bMKPSN+n379knlypWVnth//vlHVCqVNGvWTKKiopTrqT4oN2fNo+zvvd9++022bNkigwYNMhgWn56eLkOHDpXKlSsXSU+33l9//ZVr0P3pp5+Kk5OTvPvuu4XqfX7ppZdk4cKFcunSJaldu7ZMnz5d3NzcDOKLo0ePSkBAgPKdZazsz9s777wjPXv2VNawOXv2rMyaNUs2btyofEZTU1Olbdu2smXLFrPbYyoG3I+57G/S7777TlQqlRw7dkzu3LkjzZo1E5VKZbBwR3JysvTv319CQkLMvngdOXJEpk+fLiJZc2zc3d3lq6++kpiYGKlVq5bUqVNHCcb1TAm6H73jWbVqVTl69KgcP35cOnbsKGq1WhYuXKjkefjwoQQFBcmECROMatOjeW7cuCE9evSQ06dPS1xcnPz8889SqVIlCQ4OVvLs379fvv76a5k1a5ZywcrvwpVXPWJjY2X+/Pny8OFDuX79ujRo0EAmTZokIiJt2rSR1q1bS2RkpFkBffYyY2JiZNKkSbJz504RyXr+X331VenQoYPMnj1bCbpjY2Pl2LFjyvvImIuxTqeTnj17ypNPPinr16+XlJQUefjwoTz99NOiUqly3FXPyMiQ3r17i0qlkkqVKsmECRNMmp+X/T3+008/yUcffSRTp05VAsWTJ0/mWFysV69eMnfuXKPLEMkKCrL/gHrqqafkySefzBEU6p/n0NBQGTlypNy5c6dQPcFhYWFSqVIl6dGjhzRs2FCeeuopZahWcnKy9OvXTxo3biz169eX1q1bm/Xjfd26dfLee+/Jd999p6Tt3r1bevfuLa1bt1baeP/+fUlISMgx/98U//33nzzzzDM57jz/9ddfsnnzZmnRooU88cQTolKplPm7pjx/2fPOmjVLGjduLLGxsbJkyRJp0qSJODs7G/TExcfHi7+/v7z55psmtSP7a/TVV19J1apV5Y8//pDY2Fjp3r27ODg4GIzeSUxMlKCgIBk9erRZ19YtW7bIlClTDHqLtm3bJv3795du3bopP9hSUlIkPj7e5Ncoe52mT58uTzzxhLz55pvKsPXvvvtOnJ2d5a233pJTp07J/v37pU+fPuLl5aWUYU67wsLCpHLlyvLVV1/JrFmzpFWrVlKnTp0cQXfjxo2VHmlTZK/TvHnzpEaNGnLx4kXZtWuXtG7dWtRqtcFz+uDBAwkMDJSpU6caXUb2769jx47J22+/rfxQvnz5ssyYMUM8PDyUec76fL/99ptyrCmfpext+vrrr6Vs2bISExMjV69elbZt24pKpTII8JOSkiQwMFDGjBlj8mt04cIF5Zhly5ZJXFycfP/99zJkyBCpXLmyDB48WCIiIiQqKkrUarXJP6SzO3TokMydO1emTZumpO3evVv69+8vvr6+snfvXoP8+t5oU2S/PuhvKKWlpcmKFSukQYMGEhQUZLB2ik6nk4iICJk0aZLRv1O2bt0qHh4eEhISokwtETEMurPf3Nu/f7+8+OKL4ubmptxQNac9Wq1WMjIylHMfP35cGjduLAMGDJCDBw8aHHfjxo0iW0Pg5MmTMmLECKlTp06OdR2uXLkic+fOlb/++sukc65bt04JlqZNm6aMXjx58qR8/PHHUrduXfHx8ZGJEydKcHCwDB48uFDXoaSkJHn33XeV4elXrlwRT09PefHFF6V79+5St25diYqKUq5Jj66vY6pp06ZJuXLlpHHjxqJSqWThwoUGUxEzMjJkxIgRym92U+jbf+3aNTl9+rTcuXNHOfeFCxdyDbq/+uork1+jR39TVqtWTemV168HlP2mTlJSkvTr10/8/f3NHv4/ffp0qVGjhvz4448Gv730dUlKSpL4+Hjp27evtGvXziLrZOSFATeJSNb8tHfeeUfWr18vIlkf5hUrVkjTpk0lODhYTpw4IZs2bZK+fftK8+bNjb5wnT17Vo4cOZLjYn737l1JT0+Xvn37Kj0FGRkZ0qtXL6lWrZr069fPqPPn58iRIzJ27FjZuHGjcv5Zs2ZJ06ZNZcqUKXL+/HnZu3ev+Pv7S8uWLY1q040bNwz+/uSTT6RHjx4yYsQI5UssNTVVNm3aJG5ubvLMM8/kep78PuTZ5x+dOHFCYmNjDYIk/TzmF154QZ555hnlR8Vzzz0nKpVKnnzySZMu9qGhoQbDWDds2CDNmzeX+vXrG1zIExMT5bXXXlOGpD46GsCUC2Rqaqr069dPWrduLevXrxedTienTp1SVkIfOnSoLFiwQD755BPx9fWVli1bKoGxuYtqTJs2TWrUqCHPP/+8dOzYUTw9PeXzzz9XXouEhAQ5c+aMBAQESIsWLUz6gXv27FmpV6+ePPfcc8oQxmPHjom7u7v07t1b4uLiDM538+ZNadiwoVSoUEHq1asn4eHhRvcsZX/vnDhxQkaPHq3cgNi1a5cMGjRIOnXqpNwsSUlJkV9++UVWrVpl1M0eX19f5VgRkVOnTkmrVq2kfPnysnTpUoO8UVFR4uvrKz4+PjmGQpvzhamf2962bVvlff7oeVJSUmTfvn0yaNAgadGihdlz7a9evSrPPvuswWq5wcHBUrFiRdmwYYPExcXJuXPnpG/fvuLt7W32nf0//vhDxo8fb9Dz+/HHH0uzZs1k9OjR8vvvv8vWrVulb9++RgenQ4cONfgxdPz4cfHx8RE3NzeDoE0ka854YGCg9OjRQ/bt22fwmDnX14ULF0rlypXl6NGjBgHN7du35dtvvxV3d3epUaOGtGrVymCkgzE/bG7evGnw99WrV+WJJ54w6LlOTU2VLl26SN26dWXv3r3K6//vv/8W6sdTTEyMjBgxQrnRc/PmTXn++eelefPm8vnnn8uDBw/k+PHjEhAQIG3atDHqdQoLCzP4e9u2bVKtWjWpV6+eXLhwQUmPi4uTmTNnSq1atXIddm1uu3799Vd59dVXlSHrqampsnDhQvHy8pJRo0ZJbGysbN++XVnIytSA5Pfff5c2bdrI0qVLZfLkyaJSqQx6lDdt2iQzZ86U8uXLy7PPPitqtVpGjhwpSUlJJk8/io+PV3pKs9/MFsm67vXr10/69u1rcO0yVfZrzdtvvy1t27ZVboykpaXJsmXLpF27dhIcHJznaLj8Xqu9e/cq38379u0TT09Pee6553IE3eXLl1dGgP33338yY8YM6d+/v5w+fdrs9syfP1/8/f2lffv2MnbsWGXu6tGjR5Wg+9GOjoLa8yj9a3rq1CnZuXOnrF27VglAY2NjZfTo0cqN9uxMvbampqbKCy+8ICqVSp5++mkpV65cjhsRaWlpsmDBAhk9erSoVKocnUd50T9nub0/9+3bJ2fOnJGEhATp2LGjsrDv6dOnxd7eXmrWrGn2MO/s5f3222/SuXNn2bt3r5w/f15Gjx4tzs7OSgeFXnp6usyePdus1ygiIkKaNm0qNWvWlDZt2khYWJhcv35dRLIWUvP395ennnoqx3e+OT799FMJDQ1VblaIiGg0Gpk4caIyrUG/u0Xz5s1NHnmlt2/fPqldu7byPs7MzJR79+7J4cOHlWkGn3/+uXTo0EHat29v0ndTUWDATXLw4EGpU6eOuLi4yNatW5X0hIQEWb16tbRu3VoqVaok3t7eEhwcbPSbdPny5dKoUSOpU6eOODg45Ogx1Gg04uHhocxnvnv3rjz77LOyc+fOQg/9iYiIkGbNmskTTzxhsEp4SkqKhIWFSfv27UWtVkvbtm3F39/fqDa9/PLL8tRTT4lI1kUrOTlZPvnkE/Hw8JDWrVsb5E1LS5PIyEipUqWK9OrVy+h66y8wp0+fFi8vL+Xu5tSpU3MsGBYQEGAw7HnKlCly/Phxk1aw3LFjh4wdO9bgC+/GjRsybNgwcXFxkTlz5hhc9JKSkuT111+XevXqmXQhzv56Zi8rMDBQvL29lR+E165dkw8//FAaNGigBKvZt8rJ65wFWbdundSqVSvHAkjZF4aJiIiQ1q1bi5+fn1kX4p9++knatWsnISEhypf/ypUrpXLlyuLl5SXvvfee7Nq1S5YtWyZeXl7St29f2bhxo+zatStHoJGbH374weDvtWvXSrt27aRr164GQxn37t0rgwYNks6dOxsEk3r5tenGjRsyf/58gxs8aWlp8sMPP4iXl5d4e3vnGO68Z88eadmypYwePbrANhTk8uXL4u3tLWq1OteVZbO/Fw8fPizNmzc3a47ml19+qWzPdv78eYPHnnrqKWnevLmy5VnXrl3N/mLetm2bNGrUSGrUqJEjEFiwYIH07t1b1Gq1dOjQQYKCgowq5/r16/Lxxx/nGMWyfPlyad26tXh7e8u5c+cMHtu5c6d06tRJXnzxRZPq/6jU1FQZPHiwhIeHG9Qz++ty8+ZNOXbsmFy5csWkkS/9+/fPEWxevnzZ4Ees/n157949eeKJJ5RF4LI/F+b8eNIP82/WrJnBPOYrV65ISEiINGjQQJydnaV169bSs2dPo16nvXv3St++fQ3afvDgQRk9erQ4OTnlWMcjLi5OwsLCxN7evkhW/N+1a5c0b95cqlWrZjDsVKvVyqJFi8THx0ecnJykTZs2EhgYaNJ7XH/T8+HDhzJq1CipWbOmVKhQQfksPjqK5urVqzJr1izp3LmzuLm5KTeuC7qGP/r4r7/+KsOHD5fy5cvLjh07DB7bvXu3dOnSRQYNGmTWYqHZywoNDZXq1avLL7/8YjAsODU1VVasWCE+Pj7y7LPPmnRje82aNdKjRw+Da/2uXbvyDbr1N5ru3Llj9HD13OhHiSxatEgmT54sfn5+UrFiRTl69KiIZN0cbtasmXTp0sXkoP5R69atk6pVq0qjRo2kcuXK0qBBA2V9hbNnz8qYMWOkRYsWZq1jExYWZvCcN2zYUOzt7eWLL74Qkf9dZx59D+/cuVMGDRokzzzzTL43e/TXq7/++kvCwsJkyJAh8sMPP+T4TfXbb79J69atlcX6/vjjDxkxYoQEBAQY3Egzx5IlS+SFF16Ql156ySA9JCREKlSoIOvWrcv195ApNy22b98uFSpUkIULF8q9e/eUXuHRo0crbb1w4YJ06tRJBgwYUKhpJrdu3ZL+/fuLSqVStmjTP//37t2Tb775Rnx9fWXIkCESGhpqVKdAXtauXStNmzYVkawbSbNmzZKGDRuKk5OTDBs2TP755x/5888/5YMPPihUOeZiwE1y/fp1effdd6Vy5coGc4+zi42Nlbt37xo9DPGbb74RtVotP/30k/z666/K3W99b7NIVvA7YMAAadWqlXz//ffSs2dP6dq1a47th8xx9+5dGTlypJQrVy7HPNrMzExJSkqSI0eOyH///Wf0j0KNRqP8KNEvAKTv1SlbtmyOBcrS0tJk7dq10rdvX6Paos9z8uRJKV++vEybNk2OHj0qc+bMEbVanWN+c2BgoDRr1kyWL18uL774olSsWFH++eefAsvJq9x169YpPdp3796VYcOGSYcOHeTbb781qH9iYqJ89tlnJv2w1d9d1Ol0Bs/zwIEDRa1WS6tWrWT9+vXK8xsfHy+3b982+OFWmLuQn3/+uTLa4KeffsqxirJ+6NHu3btNHsKZvV5btmyRNm3ayMiRI5Wg59ChQ9K5c2dxd3cXOzs76dGjh7z88ssm1f/bb7+VAQMGGMx/XLp0qbRv314qVaqk3EjQ27dvnzzzzDPSsGFDsxcNmj9/vsGqoatWrZL27dtL//79cwTdMTExJn9e88ofFxcnjRs3lrZt2+Y7/zItLU08PDzMCk4ePnwoLVu2FJVKJRs2bMgxr/TkyZMSGRkpJ06cMClofFR6erq88sor4uLiImPGjMmx9VxGRoacPXvWrCHeIlnD/LKvNL5ixQrp1q2bPPPMMzluJPzxxx+FXqU3MTFR6tevr0wJEjEcqpfb9ceYMuPi4mTTpk3K5z3789S4cWODmzkZGRmSmJgoPXv2FJVKlaO30xwxMTHSvXt3cXJyUlZS1ktISJBr167Jli1b5MyZM0a/H1JTU5XnJnsP/fHjx2XkyJHSoEGDHMNrL1++LF9//XWR9Lj8999/8uqrr4qrq6uMHz/e4DF9G06cOCG3bt0y6b33yiuvyOTJk5W8X331lbIGy3fffacEA48GP5mZmZKamirt2rWTiRMnGt2OPXv2KAu9iWS9j4cOHSrNmzfPEXTv3bvX5O/AR4e4Hzt2TOrVq6cMT09MTJR///1X1q9fr9z0XrlypXh6euYYwZCflJQUpW6XL19WAse8gu5x48aJSqUyWITVHFevXpXmzZsbbJ939epVGTJkiNSsWVO5wRQTEyPDhg0r1DUiJiZG3NzclCD1/v37MmDAAKlbt66yO8KxY8dk8ODB0r59e4PFBwty7tw56datm/IbITExUZ599ll5+umnxcHBQQnq81ojYNu2bVKuXLkc08f0sn8mqlWrJn379pXOnTsrO7IkJSUpeVauXClubm5y9uxZSU9Pl1mzZsm4cePMeu4erat+pGLHjh1z3GR5/vnnpWLFirJixQqz1wG6e/eu+Pn5KTuo3L59W7l52aJFCxk9erTS033x4kWTP0+5PfdHjx6V4cOHi5OTkzLtLnu+R2/QGXP9y62cS5cuiZ2dnXTt2lXc3d1lzJgxsnLlSomKihJ7e/scow+sOZxchAH3YyevC8Lt27clPDxcPD095Y033lDS9R+E7G/ugi4q69evF5VKZTCMfPv27eLk5KTcidTbs2eP9OvXT5o0aWLWQkv55Y2Pj5eRI0dKmzZt5Msvv8y1N8bYNmW3YsUKKVu2rBKk3bt3T77++mupXLlyjjmEjwb6BTlz5oyULVvWYI7ajRs3xM3NTZ5++mmD1+HBgwfSoUMHady4sbRo0cLkuV3Zz3X69Glp1aqVBAUFKXe4b926JYMHD5ZOnTrlCLr1jLlgHTlyRFQqlcEKpSJZq7W3atVK/vrrL+nXr5+0atVKfv7550L3ZudWv5kzZ8qIESPkzz//zLEA0uLFi+Xtt982ObjPnj97nT08PMTd3V1GjRplEAhrNBqJjY01CCaMveBnn0+X/QfiL7/8Ih06dJCAgIAcr/+OHTskNDTUrC+VhIQEGTt2rJQtW1ZZxCc9PV1WrFghnTp1kv79++fa42JsWdnfSwcOHJD169fL0aNHlQA7Li5O6tevL506dRKNRpPrOX7++WcpV65cgVMM8vrcJSYmypNPPinNmzdXenpMPYcxeTIyMpRF3j744APlh3Zu72lTrkP379+XF154QerVqyeffPKJkv79999L9+7dcw26TSkjt3xJSUny3HPPydNPP52j1+fPP/+UQYMGmbxIlZeXl3Tq1El5PhYuXCivvfaaMkVh9erVUrduXZk5c6ZyTHp6ujz//PPy119/FdmNnlOnTknv3r2le/fuBjeGC/s6nTt3TpydnSUwMFBJ+/PPP2Xs2LHSpEmTHMNr9Uz53D5aH32db926JVOnThUvLy+DGzO5DR03tk1bt241uDGq0Wjk1KlT8vzzz0uHDh3k888/zzUY0J9/zpw5eU61ys2mTZtErVbL4MGDlbTo6GgZPny4NG/ePNdRPMZ67733ZNCgQQaLD+7bt0+eeOIJ+ffff+X333+XKVOmyJNPPimurq7StWtXOX78uKSmpsqWLVuMfo2y5zt9+rS0adNG3nvvvQKD7pdeesmkhU87d+6c48b86dOnxdHRUfbv36+k6XQ6OXPmjHh7e8v333+f57Za+dm8eXOOYGzt2rXSsmVLiY+PNzhHYGCgPPnkk0o5p0+fVoI6c6xZs0YePHggOp1OUlNT5cUXXzQIuvUe7W1u1apVrjdosw+Fr1ChgsyZM0f5jAwePFgqVqxo8D2UmZkpzZs3V0Z+urq6mjyPWn8evewja2bMmCHVqlWTRYsW5bi5HRQUZPLuJtkXHNRqtbJ+/Xo5c+aM3Lp1S5588knlBtiECRPExcVFgoODzdrr+9HRkNkXVr548aIEBgaKu7u70gmgf44Lcw2/evWq3Lx5U3k/HT58WCZPnizr1q1Ttq1NTEyU9u3b51jjwdoYcD9Gsr9Jly9fLmFhYTJx4kRluFlCQoKEh4dLkyZNcu3BMEZiYqJMnz5dVCqVwQ+JQYMGiUqlkj59+sg777wjn3/+ucGFxNS77Lm16eeff5b33ntPPvnkE2UOR3x8vAwfPlw6duwoX331lfLFV5gh65cuXZKuXbuKp6enxMXFiUjWXcOvv/5aqlSpomwtZI5PPvlEVCqV/Pjjj8oiFu+8846oVCrx9/eX0NBQ2bRpk8GiYffv3zdry51HrVixQnr37i3BwcHKXeBbt27JkCFDpGvXrrJw4UKznrc7d+7I8OHDpUKFCsp+5MHBwdK8eXOlxyA1NVUCAgLEx8dHfvjhB7OH+eT1A+jEiRNSqVIl5bnVS05OloCAAHnxxRdNatvChQvFz89P7t+/r5SZmpoqPj4+EhQUJEuXLhVvb+8ci+JkZ85zuW/fPnF3d5c5c+YoaatWrZLevXtLUFBQjp5uPXOC7ri4OJkyZYpUqFBBWcguPT1dfvzxR2V7qUd7bE2ln1dft25dcXNzk6eeekrZ4icuLk4aNmwoXbt2zfUu+86dOwtcxCX79WHPnj2yfPly2bdvnzL64MGDB9KgQQNp06aNwQ+mwqyovXLlSpkxY4bMnTtXaUtGRoZMmjRJfHx8lEUPzSnnUfoFtxo3biwff/yxkr5s2TLp1auX9OrVy6z9U7O35/z583Lp0iXlM7lu3TpxdHSUmTNnKjc7bt++LQMGDBA/Pz+Tfjx9++230qhRI+XvpKQk+frrr6Vq1aoya9YsuXHjhiQmJspHH30kNWrUkF69esmUKVOkY8eO0qRJE6Usc270bNu2TZYtWyarV69WhvmeOHFCevXqJX379jXoESzM65SUlCRr166V+vXry6BBg5R0fdDdvHlzg2uSqR5dFHL27Nny5ptvKje879y5I6+99pq0a9dO3nvvPSWvqW16dAX4FStWSPfu3ZXPzb179+S5556TDh06yFdffaXU68033zRYVXvChAnSsmXLfId9Z69bWlqabNmyJcdCpNHR0cpw9kdXKDfWyZMnlfe1PjhLSUmRatWqSdOmTaV8+fLywgsvyC+//CIXLlyQatWq5RgKbUpvnL6Xf8SIEdKpUyf58MMPcwTdISEhuc6lLkhaWpqsXLkyxw3rhw8fSseOHeXNN9/MseiWl5eXWYtBHjhwQBo1apQjaP7888+levXqyt/61/jatWvi5uaWY0SCsbK/x2/duiVqtVoCAwOVoc7379+Xl156SRwdHWXDhg2i1Wrl6aefNhhJ8emnn4q9vX2uO1vodDq5e/euqFQq6dWrl8H7b+TIkaJWq+XEiRMGv7PS0tIkPDxcPvzww1xvbJrSpvfee0/69etnEBC+/PLLUq/e/7F31WFVpO37GguLTglpkO7uEEkVUFEUEwXXLkIRxV51FdFVxMDAhlWxsAM71i5sSQME6bx/f3DNuzPnHOCcg7uf3/fb+x8vhzkz88687/M+eT8aWL9+PZdzW5hIenp6OvT19fHw4UPyXX777Tf4+PgQw3jjxo3Q19fH4MGDW3R0twRO8klXV1eoq6tj2LBhxMZ4/fo1goKCoKCgQJzcgsoh5vk0iaaysjL09fVJRh6N2tpafPv2Db6+vrCxsfnHI9qc+Nfg/n+IWbNmQU5ODn5+fnByckKnTp2wcOFClJWV4du3b1i+fDmMjIwESvti4v3794iKioKoqCjS09MxcuRIQpSxZ88eJCQkQEZGBpaWltDW1mYZCcKmM82aNQsKCgpwcHCAhYUFKIoi9YB0erSjoyNWrVrV7rRKoNmr5ubmBmVlZZbRvXnzZlAUxUVcJAiio6PRuXNnpKenY9GiRZCQkMDvv/+OPXv2YObMmbC1tYWSkhKcnZ1ZrNHCgtNYcHV15TK6+/bti8jISKEVz+LiYowZMwbdunWDvb09LCwsSASLVnjq6upgbW2N0aNHC3x9zjYphw4dwvLly3H27FlSL7h8+XIoKytj4cKFKCgowPXr1wUizGPi+vXrEBMTI5GapqYmWFhYwMvLiyhQe/fuhZWVFUaNGiUQq3preP/+PWJjY2FgYMCKWO3duxeenp4IDAxs0cAXBh8+fMC0adO4jO7NmzcjIiKiXWtp+/btkJWVxeXLl1FZWYnTp09j2LBhsLa2JvXO79+/h5iYmNCyiAZt2Ovo6KB3794wNTUl6bzl5eXQ1taGlZVVu7/T7NmzIS8vDx8fHzg5OYGiKJJ2Wl9fj8jISNjY2CAuLk5osjdOvH37FrNnz+Yyujds2IDJkye36xvFxsaiV69eUFNTg4WFBaln3blzJ3r16gVLS0uYm5vDysoKxsbGAmcoHTlyBHJycnj48CGpmQSau0soKipi7ty5+Pr1K+rr65GdnQ1/f38EBQVh5MiRQhPrAM37hbKyMnR0dKCtrc3qaXvv3j14eHjA19eXZHe0F9XV1Th06BBUVVVZRvfdu3cRFBSE0NDQdt9j1qxZkJeXh7u7O+zs7EBRFH799VcAzTJ8+vTpsLOzYznT+cXevXshKSlJ0lCBvzIpAgMDScSqtLQUYWFhsLGxwdixY+Hj4wMpKSmi6H748IF1fkvgjOrSnChSUlIIDg4mxy9evIjx48cL3Lt+9erVrP8fPXoUCgoKRCZ8/foViYmJOHPmDMtItbOzI3KQ372CPi8zMxMzZswA0GzUh4eHw9rammV0nzt3DqKiooiIiGiXfFi8eDFxyjY1NWHatGmwtLTEjh07yHqprKyEnZ2d0LoKvee+fPmSGLGFhYWQl5dnlUzRfcU1NTXbLV9XrVqF48ePE8broKAgltE9Y8YMUBRF+G+YmRa3b99uMZ2cxqRJkyAqKkqyBFavXo1OnTpBU1OTpHOPGTMGGzduFMqRSYM5d+bMmQNZWVkcPXqU6JI0fvnlF2hoaOD333/nasPLj9yj7/P9+3cEBARwfeuYmBiYm5sTR8Ls2bOxYsUKoVv+As1GsLS0NFavXo3k5GSYmJjAwcGBrJvnz59jyJAhoChKKEcFjSVLlkBKSgpHjhxBWloa5s6diw4dOhB+kerqamzZsgX29vawtrb+xwnSeOFfg/v/Gc6cOQMFBQVWNCcpKQmSkpJkEyosLERsbCyGDx8utIGVm5uLWbNmoXv37pCWluaKWBYVFeHo0aOYOHFiu0kLjh07BhkZGdy6dYuwma5cuRIdO3YkHq+SkhL4+PgI1Q+2JfAyur98+YLDhw8LtaiZv5kzZw4oioKIiAhXn8Dc3FxS1yZIm4bWxs3L6A4ODiYbFDNFrD1GN13Lv2/fPtZ9mQQWgirQs2bNwtixY0kUdM6cOZCSkiKEQRMmTMCrV6/w/ft3rFixAtLS0oTIrF+/fkIL4jt37pCoi4WFBby9vbkivvv27UPv3r2xefNmga7dGnJzczFv3jzo6uqyjO59+/bBxMQE0dHRP+xewF9Gt7i4OPluzHclrEE3adIkDB06lHXs5s2b8Pb2xoQJE8ixwsLCdm2SaWlpkJGRQXZ2NmpqanDt2jVERERAWVmZpA5XVFRAXFy8XcRvZ8+ehZycHIlOVVZWYufOnejSpQuJLNbX1yM0NBTjxo37YXII+Mvo7tOnDyu9nBlZ4wfM806cOAFlZWUcO3YM+/fvh5OTE5SUlAi78fXr17Fjxw7MmjULmzdvFpiEhlbEw8LCoKqqiu7du7MUzrVr10JRURHz5s1rMdoizN6RlpYGKSkp3LlzB9++fcPbt28RFhYGUVFRFomUiYmJQK2/2gLT6GZGap8/f95uJ/DJkychJyeHu3fvkm+elJSEjh07kpZmRUVFGD16NMaPHy/w3Hv9+jXi4uKgp6fHipLv27ePZNfQRnRZWRliY2MRHByMQYMGcaWXt0U0lpubC0lJSS4nW01NDfbv3w+KoljygWkQ84OrV6+iU6dOGDZsGOvYiBEjYGRkxJVyXFVVhU+fPsHHxwfm5uZ8yaIjR46QbC4akydPZhHHtmR0X7x4UehOHDSWLl0KiqKwcuVKAM3rZMiQITA1NUVAQAAWLlwIZ2dnGBgYCNxujnl+Xl4e5OTkMH36dGJ0b9q0Cdra2pg4cSJqampQUFCAhQsXQk1NTeCoKXNdbNu2DYqKiqQG+Pbt25CWlmYZ3UCzHN63bx/5TnV1dW3Od+Z9pk2bhu7duyM4OBhycnIsZvkDBw4gKioKXbp0gY2NjcD90DlT3M+ePQt1dXXiJK+vr0dxcTGLYHPy5Mno0aOH0ESK58+fR9++feHj40Myu+jxbtmyBdbW1ujfvz8hI2wP6dv79++hr6/P4h0oLi5GYGAgbG1tyRy5d+8e5s2bJxS7elNTEyoqKuDm5sZqbQg0lwdSFEVKCy5cuIDly5f/RwjSeOFfg/v/GTIyMqCnp0eiBjR+/fVX9OjRgyg8paWlrAneGlpSFj58+IC5c+dCVFSUKOoAeNZ3tUeh3rx5M2xtbbmedf78+VBQUCBpy+Xl5e02Gjnx7t07uLu7Q1VVlcvLLsziZr5LetNMTU3l6vspLFpT7DiNbg8PD7i6urLY0durGBYVFSE8PBzdunUjLYp4GQWC3Cc+Ph7m5uaYMWMGzpw5A39/f6LsbNu2Dfb29ggNDSXOia9fvyI7OxuvXr1qFyEW0Lzpq6mpoVu3bqyaJ+Z8ZrLk/yi0ZHSfOXPmh2RwcOLDhw8kesDZH5sf8Hqm2bNnw8PDg0thXrt2LSQkJLi87MLKiKioKBbpEtCcJh0aGorAwEDi3a+urm63Yc+rndz69etZxHaNjY0/XA4BzUZ3VFQUJCQkWPJWmHukpqYiNTWVxRr+6dMn9O3bF4qKilws6DT4fX/MdzRy5Eh06NABJiYmrD72QPNcUFZWxvz587m6NAj77hYvXowBAwawjtXU1CAwMBDGxsbEacaUDz8KtNGtoaEBFxcX1t/ac6+0tDSYmZlxzeGlS5dCXFycvDtBHadhYWHEmMnLyyMyZ9GiReQcZkkLszaTaegIIl+/ffuGpKQkKCgoYNq0aay/ffnyBQYGBqAoivRdFhQVFRXYv38/VFVVSUYF0Fz7OWrUKOjr67NaiW7cuBHW1tawt7dv0znb1NSE3NxciIuLY/DgwazARmBgIEnfpn9PG9329vZYtGiRUOzqd+/eJbpHdHQ0Lly4gNraWiQlJbEifvX19UhKSsKQIUPQt29fjB8/nm9nM6/SDTo6uW7dOqiqqiImJgafPn1CZWUlUlJS0KtXL0hLS0NPTw+Kiopt8mS0hlu3bmHatGmkMwr9PLTRHRwczLOsThB5zjyXLoucNWsWz3VZWFgoMJlYcHAwi4cCaDbgNTQ0ADRzPcTHx0NLSws9evRgdbf57bffhN6b/vzzT8jJyYGiKC6CwMbGRixbtgwhISHw9/dvMwOAE5wyJC8vD6qqqqSUiua5KSsrg5ycHMtZR0NQgjTaISAnJ8dyLjc2NqK+vh6DBg3CuHHjuK79n04nB/41uP+nwUtQ7Nu3D127diWpgXTaUlFREXr16kWYJGm0tilnZGSQzbil8z5+/IhZs2ZBVFSUVacmrLLEa0y7du1Cz549icFDn5OdnQ0FBQWuutYfrUS9e/cORkZGXEo9v2iNsCQqKgqdO3dGSkoK12bM7zukWWV5XZ8TzL+lpKS0OyWVF75+/YoxY8age/fuJI1TmPnA/M3q1athY2ODkSNHYvDgwSwFjyb6Gj58OE9iufaO7969e5CRkcGgQYNYmz6ngP/R7zE3NxdxcXEwMDBgkezxuvePwNu3b5GYmCiwc4L5nZi1llu2bIGYmBiOHz/OOufUqVOwtLQkzPaCgNc7TkhIgJmZGRf5TEpKCqSlpVltfwD+3h3zPvT5p06dQrdu3Yi8ocd0//59yMvLc7U5+zscIzk5OdiwYUO7vv+XL1+gqakJiqJI31QmCZeXlxdUVVUFVs5oMJ/t7NmzGDlyJFJTUwlBI+2Io0HXXvLTQ5cTvN5xbGwsVFRUuJ4nPT0d6urqXGmdP3otVVdXY9euXQgODhZqDvD6TVpaGrp06UJqamlD6smTJ1BSUhJq7j148AAjRoxgkUO+ffuWp6OPWdLCmTbMb+svJrv0t2/fkJycDGlpaZbRXVdXhwkTJuDgwYNCRYGZjPr79u2DsrIyi4zt5s2bxOima/hfvXrF4n/hR/5dunQJ2traGDZsGIleBgcHkxT/pqYm8g2qq6sxbNgwuLm5CZzK+/z5c+jr62P69OmE1ZwmPa2pqUFiYiLL6KbB2cuZH7x//x6urq4AmrMKlZWVSbbLhg0boKioiOjoaMKH8O3bN6SlpeH06dNCp183NTXh9u3bEBERgYiICCslmn5/d+7cgZycHNzc3FBeXi7UfWgw1/qsWbPQtWtXpKamctW+C4O7d++StUSv04cPH0JfXx+mpqbo1asXxo4di5SUFDx69AgURbF4JNpz74cPH6JXr17w8vIiRGKcMoAXWW1rYP6e1nuKi4uhpqbG0kdoWeTn5ycUvxFTfkRHR8PW1haVlZWYMGECXF1diRygzxszZswP6Vzxd+Bfg/t/FJwEaVu3bgXQ7HFydnaGk5MTS7i/f/8eWlpaXMpOS9iyZQtUVVWxYsUKIuRa2lhzc3Mxe/ZsSEpKtiu1ljmm9PR0HDlyBPX19Xj9+jUcHBwwceJElrKUk5MDXV1dviOM9PMLI9QKCgoEYjLmZHNs6Tyg2eju3r07kpKSBE6f+/btG2bPng19fX2iPHNev7V783M+DV4ZES3Nia9fvxIFQRh2T/qZmNdfsWIFlJWVoaamxuV93r17N5ydneHj4yNwvR8/oD3tgwcP/iEEdvwiNzcXU6dOxbBhw/h2WvwIQ08Ykqo7d+5AQUGBRfgWFhYGcXFx7N27F8+ePcPnz5/h6emJfv36tYu47MyZM3jy5Amamppw5MgRqKmpYceOHayU/+zsbJiamnIZWILcZ8+ePdizZw/Ky8uRn58PDw8PhIWFsXrZ5uXlQU9PTyBiJ17fqD3vozVwXrepqQmPHj2Cs7MzdHV1iYLGNLrNzMyEcjCeOnUKdnZ2AJpTN93d3cn1z507h8DAQJ5G94EDBwSWy8zxZ2VlEaPz5s2bMDExwaJFi1iZQ1evXkWfPn1+WJlOa2Aqt8Kyke/bt48QeH358gUuLi5c7MJv376FtrY2i6GaXzCZu5OTk8l3asnoFqakhb7+qVOnMHHiRIwYMYKsncrKSiQnJ0NSUhKjR4/GpUuXMGvWLBgZGbF6WQt6Lxrfv39v0egePXo0DA0NceDAAdZvWvpWTOOZNqouX74MdXV1DBo0CPfv38ewYcO42sDRqK+v53L8tQYmG/eWLVsgLy/PKj+jn4c2ujt27IhVq1ZxXUeQ+Xv16lUYGxtDR0cHHTt25Ho3tNEdExPDYtwWFLyeadu2bZCQkMCAAQNY65M+99q1a/Dx8fnhe9u0adMgIiKCnTt3CpV9wPmcQHPGk7+/P3HMXrp0CTExMcjIyCBrrKioCDY2NgKT59H3efbsGY4fP46zZ8+S93Xv3j3Iysqif//+LOezMDKM+Z6XLVuG/v37E71qz5496Ny5MxITE8k5DQ0NMDc3x9KlS4UaD9CcKeju7k70+UOHDsHBwQGTJk0iqepVVVVwd3fn6hb0s+Bfg/t/HLNnz4aqqiqWLVtG2rWcOHECTk5OMDExwZkzZ3Ds2DH4+fnByspKoJTAKVOmwMrKCsuWLSOKbGtG9/jx49G3b1+hxsG87uzZs6GiooLNmzeTjTcxMRH29vYYPHgwLl68SGpB7e3t+RbCTAKH9gjutgTYq1evcOLECQDNzK82NjY8hTnzGSZNmgRZWVmerZjaQlFRERYvXgw9PT3ExcXxvD4nmF5vfjzgzGsVFxezftPSnPr8+TOWLVvW7tR7Zhrqhg0boK2tjSlTpnAZUsnJyYiMjBTo2wqiDN+9excyMjJwdXUV2DECcDPz8otPnz7xXavL/PuzZ89w7do1fP78mcy/luYu8z3QSkFbYF5r8+bNGD9+PGRkZCAmJsaah+Hh4VBSUoK0tDSMjIxgbm4uMCEWpxecNrBpZ2BERAQUFBSQmJiIP//8Ex8/foSXlxcXI60gmD17NhQVFZGSkkIiFjt37oSjoyN8fHxw4MABnD9/Hv369RNItjLH/ODBA1y9ehXv3r3j6lXa2u/4jZRx/qagoIA858uXL2FoaAhjY2OuTCbOtj/83uvkyZPQ0dGBpqYmJCQkuNLEz58/j8DAQDg4OHD1TAX4X4+cpETa2tpITk5GaWkpampqMHPmTDg5OWHGjBnIzc3Fixcv4OPjAw8PD6Hq3aurq7kyKFqaV8KWzjAxe/Zs9O7dG4mJiay55+bmBldXV1y8eBHnzp0j7Lzt2c8+fvwIXV1d6OnpkTG2ZHQLU9Jy/vx5dO/eHYMGDYKZmRlERUWxa9cuNDY2orq6GhkZGVBUVISmpiY0NDSEctAyv8XKlSuJIVNeXs7T6L516xb69+/PV9o6Pd7Xr19j7ty52Lt3L8kczM7Ohrq6OkaMGAElJSV06dIFnp6esLa2hpmZGRwcHDBw4ECBCNIWL16MsLAwIiMvXLgANTU16OrqYsaMGVw1uDU1NVi/fj0oikJaWhrf9+GFlStXgqIoqKurs65PY8OGDVBVVcWUKVMETrnmxK5du0hGANC8f/fq1QtRUVEspnHO+SbMXOdcq0w5M3PmTFAURUi/2ouzZ89CWVkZoaGhLMcs0Lzvf/78Gf7+/rCzsxMq+JOeng4VFRWYm5vD1tYWffr0Ifrm/fv3IScnh6CgoHYRo9GIjo6GgoICtmzZQgx7miunQ4cOCAwMJJFofX19oUv30tLSMGjQIAQGBrKu8fvvv8PBwQEqKirw8/ODhYUFi5fgR5Zs/Qj8a3D/DyM1NRWysrJcKV6NjY24cuUKBg4cCAkJCRgaGsLLy4vveh6mgP3ll1/g6OjYZn9ZgN36S1gkJydDXl4eN27c4BKsmzdvhp+fHyiKgomJCZycnPhW3NPS0kBRFKvGRpCoLtBMIsQPicbYsWNBURSioqLQsWNHrr6ZTDCfQRivPo3CwkIsWrSIL6ObOabdu3cjMzOT7++2ePFimJubw9PTk0UQ09acEpS4hQZN5MP0tq9atQpmZmaYMWNGi6ls/Hxb5jOvWLGCq76UF65fv46JEye2eV5rSEhIaHVOMMEcB7+pm0BzWi1dW2dpaYnx48e3+K6Yv9uyZQsmT57MIqlpC3FxcZCSkiLR4MGDB0NLS4u11q5du4aTJ0+yetsKszn/9ttvkJOTw7Vr17jImaZPnw5TU1OIiIjA2NgYlpaWQjNdb9u2DQoKClzESEBzNDY0NBSdOnWCmZkZ3N3d+ZatzHc9d+5caGlpQUdHByoqKpg8eTJJ4Wztdxs3bsSUKVPabNnG/M3ChQvh4eEBCQkJjB49mqRvP3v2DCYmJjAxMeFZPiSMcjtixAhQFAVra2tyjOlMOH/+PIKDg6GjoyN09guNtWvXQk5ODlevXmXdo6qqCvPnzycdLQwNDVlMtoI4ruiWPrKyspgzZw4OHz7c4u+Y7+7w4cMtRjxbw9atWyEvL89z7h06dAj9+/dHp06dYGxsLNDc4/WMQPNYL168CHt7exgZGRFF/e3btz+kpCU5OZkVfZ06dSq6dOmC1NRU8uyVlZV48eIF384+zuen8fbtW1haWkJGRoaUFzGNbmZN99OnT/meB48ePYKqqiqGDRtG0oDp93j58mVoaGhAV1cXEyZMwNGjR7Fz504kJiZi165dePLkiUDjeffuHZGN9G/r6uqwadMmmJqaYtKkSVxZGg0NDTh48GC7220eOXIEixYtgr29PUxNTYlMYDoMEhMT0adPH6FKgmiUl5djwIABsLW1xYYNG8jx9evXQ0lJCdHR0QJnJtGgv0tlZWWrgQHm/2NiYgTqh06jpflz8eJF0jKLrm2vq6vDjh074ObmBisrK6HIXG/dugUJCQls3LgRQHPmCEVRiI+PJ+fcv38fHTp0QGhoaLsccVevXoWamhrP3ta1tbWE2DckJASTJk0i71rQki0AmDFjBmRkZKCurs41r27evIn169dj4sSJrADOf5ogjRf+Nbj/hzFlyhSMHz8eADcbNI2XL1/i06dPfJNHMTfjtLQ0zJ49G1JSUpCVlcXKlSvbTC9v629t/Wb48OFcRCqc0cBHjx7h7du3fI/pypUr0NLSgre3N+Tk5BAbG0v+1ppAYo7j999/h6amJt91jQ4ODujYsSPXWHhBGIIlXs+dl5eHRYsWQVdXt0WjmzMqSVEU8Y62dR+6Jnbt2rUICwuDqakpi4X6R9dCLly4ELKysjh37hxXP9CVK1fC3Nwcs2bNEiqFnPkegoODoauri5SUFIEiEcI6l7y9vTF79mwArb8z5vUvXLiAhw8f8nUubZTSG+XIkSMhIyPDVefJ+bvNmzejS5curRoUnCgoKICFhQXLgZCXl4e4uDioqKiw0suZEGau1NXVwcfHh4uYhbMG9fz587h8+XK7DPsJEyZwMZpzXuft27coKCgQijhqzZo1kJeXJ1HeiIgISEpK8kwx5PxGIiIirRpynPMyPj4e0tLSyMzMxJUrV+Dh4QElJSUSfX769ClMTU2hoKDQ7rTKxsZG7N+/H8nJyTA2NoaLiwurrpbG+fPnER0dLbTMaGpqQnV1NXx9fVmtrACwFNmamhqcPn0ad+/eFYpAcd68eZCVlcXu3btx5MgRGBoawsbGhqfzivneN23ahC5duvBUVlsbEwCMGzcOv/zyC+sY5x749OlT5OfnCzwm5vuuq6tj7efXr1+HtbU1l9EtaEkLfd7Tp09x+fJlTJ8+nau39bRp09ClSxfs3LmzTccRv4iNjYWLiws8PDzQrVs3SEhIkGBEeXk59u/fDzU1NXh4eLB+15ZRkpOTAxkZGcTExHCVE9FjvXLlCtTV1REaGiqU4cYLR48eJZkbNNatWwczMzNMnTqVRLoHDx7MIssS1rnNxIULF2BtbQ1TU1NW3TQtnwQtq+J1n9zcXIwaNQoODg4sNuoNGzagd+/eiIyMFCgNn4nMzEw4ODjA19eXpQu1FukWFMxrHT16FDt27MDdu3eJDD1//jyZE/fv30dTUxOOHj2KVatWCWw00nM0OTmZtM378OEDevfuTWQFAJLl+ujRo3axkQPNJSQ6Ojqs789JrscplwTNlmTqNKtWrYKqqiqmTZvW5nf/GQjSeOFfg/t/BLw2hZCQEC42VqDZG8mLaVgQb9eCBQsgISGBnTt3Yv/+/fDx8YG+vj6WL1/Ol9HNDzh/X19fD1dXV9LLkrmoampqcOXKFa4F3daY6urqsHTpUoSHh+PBgwdYv349JCUlWUY3r8XLfLbk5GSIiYnh4MGDbY6pqqoKDQ0NsLa2hoWFBSQlJXH48GFiFPBT/9wWmGO+f/8+rly5Qoglvn//jkWLFqFPnz6sjaahoYHnmPhtRXHmzBmsXLmStIOorKzEjh07oK+vz4oa/CivY2FhIaytrbFr1y7Wceb1V69eDSUlJa7WES2B11yZMGEC+vTpw0rbbiu1VxDwuueYMWPg7e3d6u84nT0iIiI8+28zU3YbGhpQXV2NgIAAEjU4ceIEREVFCbdCTU0NiQwzn03Q+UCjvLwc6urqXEZwUVERLC0t0b17d5bRLYgM4lwfJSUlUFFRIb3pmeu2qqoKL1++bDWKwe99Ghoa4O/vj7Fjx3Jdg/bsc5L3CDKuxsZGBAcHkzaNR44cgbi4OGnvVFtby7MEQJBvRD/Phw8fYGtrS9rQ0Om9nGzADx8+xMiRI3+oInPixAno6+tzsXWfOHGCJyldW+D8TpWVlTAyMiKtkTjnA6/ouSDje/78OUxMTEi9+dWrVyEiIoLU1FSua3GuJQkJCb6i25zzpqmpCf3798fo0aO5zq2ursa5c+favAYvXLt2jfX/JUuWwMPDAwYGBoiLiyOR1Bs3bsDa2hrGxsYkvZzpVOJ3z8rIyECPHj2gq6sLiqIwduxYrsjVj0zl3bJlC3r06IEbN27g8+fPJGVcTEyMZC6Vl5cjNTUVgYGBfGe3NTQ0YPr06Rg1ahTrb9++fcPDhw+RmZmJoqIiAM1Gqo6ODnx8fHiSd7YFzmd69OgRRowYAScnJy6j28rKCg4ODrCzs4OCgoJAJUrM8QHNUdPffvsNa9euJYZ7fX09Ll68SObCs2fPMG/ePKirq5PxCgPOvsy5ubkICwuDo6Mjfv/9d3J8xYoVGDBggFA6Eh0FnjFjBiZMmAApKSkMHjyY/P1HpyFHRUVBVlYW8vLyMDIywpw5c8jaOX/+PDQ0NDB8+HAucl9B9iZ6bqxduxYjRozAmzdvoKysjAkTJpC/nT17FosXLxaKY4bXejh8+DBUVFRYGRqNjc0dOFJTU7kMen7eK/Oc+fPnw8jIiOXgX7BgAczMzBAbG0vm2d9BPvp34V+D+38AzAnHnOTz5s2DhoYGIQ+iUVRUhICAAIFIfGg0NTXh06dPMDIyYrHGNjY2Ijw8HL1798bq1avbTC9vC8wxMSOUERERUFFR4Yo0vn//HuPHjxeq9cTHjx9x+fJlAM2e2XXr1nEZ3UwCGSb4VXJb8pwOGjSIy+gGIFDKbkv3mTt3LjQ1NdGnTx8oKSkhMjIS7969w9evX7Fo0SLo6+uzUo04x5Sens7XPa9fvw5VVVVISkqyFD66D7GBgQGr56kw4CSZy8/PR48ePYgCwBw3M1KWlpbG18ZVWVmJUaNGsQzUr1+/wtPTk6QIPnjwAFu3boW5uTmio6O5Nsj24ObNm0Tx27p1KyGA4ZW+y6m8S0pK8nT2zJkzB76+vixDvLa2Fp6enrh//z7OnDmDnj17EmWttrYWW7ZswcWLF7nuIS4u3uZ84LXxlZeXY9iwYRg6dChXCuDkyZPh5eUFGxsbvlPoed2LWWrh5+cHFxcXIn/ob//nn38iJiamXX1gma2w4uPjISYmRiIGNPLy8jB69Gie2QItgVM2VFVVwdHREbdu3cLVq1e5vlFSUhJXexd+vlF0dDRXRk1BQQF0dXVRVFSEw4cPo2fPnsSwr66uRmpqKhcbdHuNbmZU9tSpUzAwMICtrS0eP36Mvn37wtPTs10Eccz54O7uzhWxBJoV+5kzZ7ar3/GrV69gZGQEoLlukvnuKisrkZ6ezjXfBJGtzDExn3Pq1KlQUVHhMmzy8/MxfPhwgeYe0FwrS1EUKctZvHgxpKSkMH/+fMybNw+Kiorw8/Mj+sLVq1fh4OAAeXl5VvS5tW/GlGXv3r2Dt7c3fv/9d7x79w5z5sxBr1698Ntvv3EZ3cKm8nIiOjqai7n4w4cP8PT0hLS0NDGAKyoq+ObDoDFkyBBWX/AjR45gzJgx6NGjB2RlZSEmJkZqdc+ePQtTU1MuudEWmM9y5MgRQoz34sULjBo1CnZ2dmTuAcD+/fsRHx+PKVOmCJViS7+DjIwMyMvLw9HREd7e3hAVFSVzt6GhAdeuXYODgwPk5OSgoaHBV9lVS+Pat28fLCwsuBxRHz58gI+PD3R0dFiku4I4eZjnZGdnk6wXOvhEdxnh9VyCgpmRmJeXB09PTzx48ADFxcVYsGAB7OzsEBkZSYzuCxcuoFu3bliwYIFQ97t+/Tq2b98OoLlbgLq6OuTl5bn62EdGRmLMmDFcpVb8jgdojtTTsujhw4dQVFREVFQUK8Owrq4Orq6uPHVLfrFgwQLIysoiKyuLa63QbWDnzZsn8H7+n8a/Bvd/OZiLYcGCBTAxMSFpiHV1dTA0NISZmRmuXr2KwsJC5ObmwsfHB46OjkIrTpWVlTAzM8Nvv/0GgC3Izc3NoaWlhdjYWKHTD5ljWrx4Mfr164czZ84AaDas9fX1SdugsrIyFBcXw8fHB05OTgILSl7CuqSkBElJSSyj++vXr0hKSmIpBL///jtfhgiTSXPJkiXYuXMnqxZz0KBBkJKSwuHDh1FRUYGlS5fC0dGR1cdUUKxduxby8vLEkTBx4kSIi4sTRb2oqAhLliyBlJQUy3GyZs0aSElJ8W1s09datmwZ5OXluSIvlZWV2LVrF6SlpVks6cIiLi6O9Ps0NjZGQkICV2rwsWPHWO1DgLaNhGPHjnFtEOXl5ejduzdCQkKwYcMGeHp6ws3NDZGRkZCRkWFlCLQHp06dgoSEBLp16wYLCwvIyspCREQEKSkpOHz4MEpKSlBTU8O1ntpS3tPS0mBtbY2wsDCW0e3r6wtdXV2IiYmRjRpoVtjd3NxIRwMA2L59O3r27CmQsf3kyRPcuHGDbIZXr16FuLg4pk+fTmoLq6qqEBwcjI0bN8LPzw/Dhw/ne64z77VixQpMmTKFpIbu2bMHFhYWmDBhAqv+09fXF3379hU40kxj4cKFcHV1Jd72T58+wcHBAerq6nj27Bm+fv2KwsJC+Pj4CER205KzdMyYMVBRUUH37t1ZWRxfvnyBq6srK9rDjxFXUVGBCRMmwNbWlqXYvXv3jtTgSkpKsq57//599O/fX6C0Z0FBR8rMzc3Ru3dvIvcA/p21nPMhJCSEGFA3btyAhIQEiUDSGRze3t7o16+f0EzuAPD48WMoKytjxYoVkJSUZNWa3rhxAwMGDGCtu+TkZPTs2VOgDAQAWLRoEaytrYnB+/37dxgaGsLKygovX77E58+fUVRUBG9vbzg6Ogq8B5aVlSE6OhqdOnXCgQMHsHjxYlZ70AcPHsDR0RH9+/dHcXExGhoacObMGUyYMKHNec6ZRXD79m1MnjwZQUFBrEhbdHQ0cdbzw4MiKObOnQsVFRWu8qzU1FRQFAUpKSliFLfkXOeFhoYGDB8+HHZ2dkhLS0NUVBRUVFQwZswYHDhwAE+fPoWnpyfs7e2JI1hQQk1O7g0lJSWsW7eOXOf58+cYNWoUbG1tWZFuzucUFNeuXYOcnBwxch8+fIiOHTuCoiiyRzQ1NaGyshLXrl0T2PhhPtObN2/w8eNHuLu7w8fHh0uWXbt2DRISEtDV1SWOIX6/E33O9evXCfkWXbIFNK+1c+fOQUZGhkWcJwyYa+/Lly949+4dBg4cSDKe6uvrsXz5ctja2mLixInE6L57967A34geV2BgIGxsbMjxsLAwUBSFM2fOoLi4GCUlJYiJiYGsrCzLaSzIPYC/5t7WrVuJ0Z6SkoIePXogIiICaWlpyMrKgoeHB0xNTYXOZszLy4O5uTn27dvHOs7M0li4cCGUlJRanO8/K/41uP9HEBMTAwUFBRw5coTFDllaWgo7Ozuoq6tDWloa5ubmApEF8fp7XV0d+vbtCw8PD7IgaWExYsQIaGpqYvLkye1OzZkzZw5kZGRw/PhxUhPX0NCAmzdvwtLSElJSUtDT04OpqalQzMatobi4GElJSZCWlsb06dPh4uICNTU1cu0LFy5ASUmJrzRyoLlmqEuXLnB0dET37t0xcOBAluIVEhICCQkJ2NnZQVxcXGBPMQ26TnLw4MEklZIzJZXODigsLERqair5djU1NTAzM2uVyZRXiiPQ/L5WrlwJHR0dzJw5k3VORUUFTp06JdSmz+ld1dTUxJ07d1BbW4vRo0fD2tqa9Q3q6urg6+uLIUOG8DX/eKXarVmzhjgmzp49C319fWhqaiI5OZnUFE2bNo2rhleYMdHIzc3F06dPceTIEcTHx4OiKFhYWEBVVRW9e/dGjx49SIox0FwDyo+zJz09HRYWFggNDSXtNHJycmBsbAxjY2MAfzEsczrimpqaEBMTw9ULlBOcWRXa2trQ0tJC7969MW3aNFRVVeHYsWNQUFCAs7MzYe3W19cH0OwoNDc3F6g+HvhLPhw8eJB4wek2OKamplBVVUW/fv1gZmYGY2NjgQ05GlFRUZCRkeHytj979gw+Pj7o3r07NDQ0YGRkJLRsTUhIgKurK/me9+/fh7OzM/T19Ul0sLi4mHReYK6lJUuWtGrE0eMtLS1FVFQUXFxcMG/ePPL3RYsWgaIoTJkyhRyrqKiAn5+fQEZpe1BbW4s///xTqDpqGrNnz4acnBwOHDhAsqKqqqpw4MABSEtLQ19fH/b29iQNlt/vxJwv+/btQ2JiIjk2bdo0UBTFep9VVVXw9/eHv78/ufa7d+9gZWUlcElGVFQU5OXlkZmZyWJmzsnJgbW1NeTk5NC7d2+YmZm1aw8sLy9HdHQ0OnTogJ49exLHEpMUrGvXrmRvYL6TluT6jh074OXlxWK0X7BgAaSlpaGoqMjVOiomJgaamppYtGiRUORozOflxPXr12Fqaor4+HhW9tiFCxcQERGBIUOGsGrT+QH9DkpKSmBhYQEjIyOoqKhg7969LDkxc+ZMuLq6Cpx2z4mEhARCgsvZFeb169cYPXo0HBwcsHbtWqGuT6OpqQm1tbVYuXIl5s6dC6B5f1JVVcW4ceMwa9YsVkaEMDh48CBhIJ8+fTosLCwANNf19+3bF3379mXtbRcvXsSQIUOwdOlSoeRRZmYmOnbsCCMjI0hJScHGxoYVlW1sbMSFCxdAURRGjhwp9LhoxMXFQVNTE/r6+kSG06CNbgcHBwwbNoyVJSKIjkR/+1evXqFXr17E+GxoaICfnx8UFBSgrKwMJycn9O7du10ElIsXL4acnBxu3rzJFSHPyMiAu7s7REVFYWFhAR8fH6EI32g8evQIoqKiJFu1pezFLVu2/LS12i3hX4P7fwD37t2DlpYWiWxXVVUhLy8PBw8eJB60ixcvYvfu3QKxADOFxL1793Dv3j3isX/16hVkZGQwfPhwVFRUkGsNHToUR44cEYroi4mLFy9CQ0OD3K+2thZFRUU4c+YMamtr0djYiG3btmHTpk3YtWtXuwiQWkJpaSmWLVtGGHWZxtmrV6941swyQY89Ly8P48aNI5Fkumekl5cXK31q69at2Lhxo8BkFpwbUHV1NZycnHDjxg1cu3aNKyV13bp1XC136LG1Vp/MvE9qaiqio6MRHh5OIi/l5eX49ddfoaenx2V00xBWQB45cgQzZ85kRedKSkrg7e0Nc3NzDBgwAFFRUbCzs4OBgQFfxlVdXR0CAwMJJwDQnNptZmYGf39/IvBrampYStrnz59haGgocE9JgP0OP3z4gKdPn6KhoYHrGzo7OyMlJQXl5eW4desW9u7dS+b2/fv328xCYI777NmzsLS0xPDhw4kj59ChQ5CVlYWOjg5sbW1hZ2cHMzMz8t6EZQiXl5cnEdHRo0dDUlKS1IfStYBhYWGYO3cumWuhoaGsNjf84NChQ1BWVmaRqpSUlJCSgJycHMydOxezZ8/G6tWrhWYuvXbtGrS1tUkEvbKyEh8/fkR6ejpp0ZeRkYG0tDSkp6cLJYfmzZtHDHo67b6+vh5paWkwNTWFvLw87OzsYGVlBQsLC/Ke+H1fzLl18eJFDBs2jKuuPjIyEhRFITIyEuHh4XBzc4OhoWG72rMJC2FkRGZmJlRUVHD37l1yrLy8nGQS5efnY/78+Zg/fz7Wrl3L93zgzNywsLCAubk5KYEoLCxEcHAwREREkJCQgOjoaHh6erJkEH0NTmLHtnD9+nVoaWkRIqqamhoUFhbi2LFjJNvl0KFD2L59Ow4ePNjuPfDbt29YunQpKIoiso0pmxwcHATK6nnw4AFxEjCjn4mJiVBXV8ekSZO4WkdNmTJFYMOXBnPu7d27FytXrsSePXuIEzo2NhZ2dnaYNm0aPnz4gLdv38Lf3x8TJ07EyZMnoaCgwFXL3tZ96HddU1ODoqIiLu4GABg/fjzGjh2L2tpaodfH169f4ebmRurZ8/PzkZ2djbFjxxJiubdv36J///6IiIhoFzEt/e/z589x7do1VFZWwsHBgRDwPnjwACIiIqAoCrt37xZqPElJSaAoCu7u7hATE2OVZz19+hReXl7o27cvVq1ahZycHPj7+7O6WghS31xcXIygoCDs2LEDRUVFuHr1Knr16gV/f3+WY6exsRGXL18WikyMKSf++OMPyMjIYPv27aQEcsCAASxDtb6+HnPnzmXVWPMDXqWJFRUVCA8PR1hYGEt/O378OLZu3Yrjx4+TEgRhUFZWBg8PD8KNkp+fj8uXL2PkyJHYuHEjSkpK0NjYiLy8POTn5wtFEsrE169foaOjwwow0Nc6evQoeQ4a/01G978G9/8Azp8/T+qp7t69i1mzZkFXVxddu3aFnZ0dV69TQPD2NDo6OjAwMICEhASmTp2KwsJCXLhwATIyMjAxMYGXlxesrKygo6NDrt2eyMixY8egoqKC2tpaPHv2jNQj9+jRA3Z2djx/86MXXllZGczNzWFmZkYWvKDkI7du3UJoaChcXFxYhCC3bt0iaa6CpG+3hu3btxOhPnbsWCgpKbWYkrp+/Xqh7zNr1izIyckhICAArq6u6NixI+bPn4/S0lKUlpbi119/hbGxMcaNG9fuMQHN30FDQwMURXHVgpeVlWHt2rUYOHAgAgICMHXqVL6V6S9fvmDmzJkwMDBgtTA7ePAgvLy84Ofnx2q9k5+fjz179sDU1BT+/v7kuKDsvEAzIYixsTF69eoFCwsLrFy5kqRS1tfXw8jIiNXflvMaLSkFR48eJdG9OXPmYOrUqQCaI92WlpYIDQ0lyk1hYSEWLFiAZcuWYfv27UIr7E1NTairq8OAAQOQmJgIoNkAEhMT48qqYOL169eIiYmBpKQkVz/StrB161bY2toCaH4XK1asgIaGBlRUVFrkCxBGPly6dAny8vLIz8/H06dPMWfOHGhpaUFCQoKLoVWY+zx79gxGRkasTgBMhSU3NxcrV67Er7/+2m7H4owZM+Di4gJfX18oKSlBWVmZ5cBav349Bg0ahJCQEMTHxwvNlAs0pz1z1hi3tB/w4ikQFJs3b4apqSmAZoV96dKl0NbWRvfu3REeHs7zN4J8p1mzZiEwMBCOjo6QlpaGlpYWKccoLS0ltZkBAQGYMWMG690Ja2SdPHkS8vLyqK+vx6NHjxAdHQ1tbW107twZVlZWPNm7hSllYKK8vBwxMTHo0KEDi1ehqqoKurq6rL7I/OL+/fuws7Njla8sXboUZmZmmDVrFpcxIEw7KeZ45s6di27dusHR0REURSEkJAS5ubmor6/H4sWLYWVlBYqioKWlBUNDQwDNbOut1SBnZmay+GFamrPM49+/f8fcuXMhIyMjcCovJ758+QJ5eXksXrwYV65cwdChQ4kDTkpKiuzn7969EyrYQZ97+fJlrFixglW+9OjRI5ibmxPn5tu3bxEaGooVK1a0a1yWlpbo0KEDcc4zU8RfvHiBcePGQVFREb1794aNjY1QGUrnz5+Hi4sLvLy8WM/68OFDKCgowM/P74f0o6axe/dubNy4kUWcuH37dtjY2CA4OJj1Xpm8BvyS9AHNQQFmLTvQbFx37tyZEDj+SBQXF0NZWRlxcXHIzMxESEgI7O3tYWlpCR0dHSxZsoTr+duj+1dVVWHIkCFwcnJCZmYmOV5fXw8fHx+Ehob+cGK7fwr/Gtz/A6iqqoKmpiY0NDQgLi6OyMhIHDp0iBBLcbbcEASrVq2CjIwM8bLHxsaCoiiSnvL582fMnTsXU6dOxezZswXqtdcanjx5AnNzc+jr60NOTg7h4eHYtm0bXr9+jc6dOwtspPISAG2RvKxatYol6IVRco8dOwZdXV306NGDKzX39u3b6N+/P6ytrXHs2DGBr83E9+/fIS0tjVmzZgFo3iRdXFygp6dHasG/fv3KMyVVEJw9exYKCgos5WPTpk2QlJTEihUrADTXt8bFxQlUl9sW8vPz4eTkBG1tbRw7dozndTnTtvjB58+fCfcBs4b74MGD6Nu3L/z8/Egmw5UrVzBkyBBWn21hNha63v3EiRNoaGiAh4cH1NTU8ODBA3K9KVOm8DQUWrtfeXk53NzcIC4ujjFjxqB79+4sNtyMjAxidNMRW04I246rsbERdnZ2hBWfmVVRU1ODpKQkVkur6upqREdHo0+fPkKRz6WlpcHAwAABAQHQ0NDAiBEj8Ouvv2LPnj2QlZUl6fPtxZs3b+Di4gINDQ1ISUlhwoQJ2LVrF75+/QoJCQmiWAkLujaR1ztoaQ4Lw9qdnp4OSUlJ3L59G7W1tSgvL0dERATMzc1ZzibO+lJh7pWQkABPT0+Ii4sjIiKiVUI85u8OHjyI1NRUodbUhQsXoKqqCjc3N6ipqWHkyJFYv349jh8/DoqieLZT4xc7duyAhIQE7t27h2/fvuHLly/w8fGBtbU1duzYQcbAaQC3dw8sLCwk5SzS0tIYP3489u7di0+fPpF6a2HASVS1cuVKxMfH4+HDhyRCNmfOHHTo0AHDhw9HdHQ0AgICoK+vz7dcZX7Xe/fuEecsMyK6ZMkSmJmZISoqSuieypx4+fIl+vbtS2T2vXv3ICcnh8DAQFKWVllZiWPHjuH69evkXcycOROmpqYswj16HO/evUPPnj0xfPhwVkZNa3vb6tWrMWHCBKioqAicytvS/F+3bh3ExMQgKiqKOXPmEF6bkJAQLu4UYdZQeno6JCQkMHPmTFb23vXr10FRFOlkMG/ePLi6uvJ0NgqCKVOmYPbs2aAoCr/++itXeWJpaSlev36Ny5cvC11qkpubCxkZGVAUxeIlAJp1JBUVFTg6OpJM0PbgzZs3JDBA98EGmrMGaaN78ODBXCnZLc0jesxVVVWoqanBu3fvUFRUhOnTp0NMTAw+Pj5ITk5GTU0NgOZMioCAgB/qQKBBt3yVkJBATEwMyWocMWIEz44JwoJ+F7m5uXBxcYG1tTVCQ0ORkJAAe3t7GBgYkDnw32h0/2tw/5eDnnT5+flYs2YNTp8+TbxoDQ0NcHBwELhujImhQ4eSKNWhQ4cgKSlJhAmtnPFq39VeNDQ0IDs7G0uXLsWRI0dI+uaXL19gY2PDlRLdGpibz4MHD3D16lW8e/eOlX7DSzkqKipqV00hjfPnz8PCwgL+/v5c7MLXrl3DkCFDePZtFRSLFy+Gt7c3iouLUVdXh7S0NJibm0NWVha2trZcKaltKYRRUVFchsDhw4fRp08ffPnyhfVO1qxZg+7du5PoallZmcBsr22d+/HjR5ibm8Pd3Z3Fhi6MYst89gMHDiAkJASioqLEaQD8ZXQHBASQ98BMgeR3XPSGCDQrEa6uriTr4MyZM6y2XPRzTZ8+nSe7Mi9s3ryZPEtFRQXk5OQgIiJCnDjM+2dkZBAiNc65yC+YUaC1a9cSRWz48OFQV1dHjx49sHPnTnLOp0+f4OLiwkVwUllZKXQfVaA5IhsZGYldu3aRKBntqGOSErYXf/75JzZt2oRTp04RZam0tBQ2Njat9qjnBK+Wf7du3YKamhp5h8Bf8yo9PZ31HvlFREQElzxZt24d9PX1WZkGnz59wuDBgyErK4ulS5f+EAUmPj4esrKyOHjwIK5evQpzc3OYmJjwZAPnbGnWuXNnnu0q+UFZWRkyMjIwZswYpKWlkRTmt2/fwsbGRuAMCibi4+OJk5L+NoWFhbC3t4eGhga2bdvG9e5+xLtsamrC06dPsWLFCpw4cYIY9JWVlbCzs0NWVpZQ16Qxa9YsSEtLw9fXF7169YKBgQHi4+NRWVmJpqYmzJ8/H506dYKTkxNOnjwpcMYD3d8caDZ8Q0JC4OjoyDK6ly1bBjU1NcyfP18oOZ6RkUHmzLJly9CvXz8EBwezjJo7d+5ATk4OwcHBXHIhOzsbkyZNgoSERKutuk6fPg0NDQ2MHDmyTaO7qqoKoaGhGD9+fLvKw44dO4bk5GTs3LmT1IS/fv2alSnX1NQEDw8PoRihmfe6f/8+ZGRkWEznNBoaGjBhwgRQFAUTExOIiYkJ3Nastb2STi/nzJ5gZpfRz8EvXr9+TWRgUVERlJSU4ODgwBWR//PPP6Grq8tV2iAMamtrcfz4cZIVyRxzbW0tduzYAXV1dVIX3xro3z579gxBQUEwNDQka3HKlCnIy8tDWFgYLCwsoKmpiT/++AMLFy6Eh4cHHj161O6x8MKrV6+4smX79u2LqKioH3of+jvTZLweHh7w8fFBZGSk0KVhPwv+Nbj/B1FdXY3CwkL4+fnB3NxcaE/79+/foa6ujuPHj5P2NMxesLNnzxa4BQk/4LWJ1dbWorCwEAEBAbCxsREq8jJ37lxoaWlBR0cHKioqmDx5MmsDLi4uxty5c7kiFYLWL96/fx9Hjx5FSkoKqf09e/Ys8XByvjNByaJaep4nT55AVFSU1LjQKalr167FqlWrsHv3br5TUt+8eYMBAwZwnXfo0CGIiIgQA4d+9s+fP0NRURHHjx9nnS+I4skc14YNGxAZGQk/Pz9kZWURw+z9+/cwMzODh4cHz56zgmLAgAHw8PDAkCFDoKGhAUVFRZbycujQIfTt2xe2trYs0iJ+x3X69GmsXLmSRJRLS0thZmaGz58/k7Zc9JqqqqpCcnIyXrx4gYKCAr7m+KlTp1iEY4WFhbC0tISVlRV69epFlDNmKcThw4fRu3dvVv9rfvHy5Uvo6uoiIiIC06dPR8eOHckaunv3Luzt7UmrpKamJkLG5uDgwBpPewwS5jxhlq+UlpYiICAAbm5uP4Toi9cz1tTUIDc3FwEBAbCyshIqhbehoYFFTGdmZsY1v2pqakiJhCC4du0aIiIiuEpf9u7dCwMDA2L40s/z4MEDSEpKonfv3u1mfH3z5g3Mzc1J5O3KlSvo2rUrSSVmyhLOtnMSEhI/rLSGvldpaSn8/f2F6l4B/DW36Egs7cim3+2VK1fQo0cPVm3t34mamhoUFBTA398flpaW7YqgZ2ZmQklJiZWpFBUVBQcHB6xcuRKNjY0oLi7GjBkz4OjoSM7h95719fWwtLRkydI///yTp9G9evVqLgI1frBp0yZ06dKFON8zMzNBURQUFBSI3KPX8N27d6GoqAgPDw/WvS5cuIBx48axeglzgr7GmTNnoKqq2qrRzWx5J2yXFqDZGaKkpAQDAwPo6uqiZ8+eLOdeeXk5rl27Bn9/fxgZGQlkgHBGeoHm1nCOjo5cKc80ampqkJ6eji1btrDatPID5nUyMzOxc+dOrpTo9evXo2PHjli0aBFevHiB/v37w9vbWyDGeBqvXr2Cjo4OYmNjiSGdl5cHeXl5uLq6chndrfHW8DMmJmpqapCVlYU+ffrA2dmZtV5qa2tJVltroMf76NEjiIuLY9KkSdi6dSvS09MxYMAAdOzYESNHjkRZWRkKCwsxevRo2Nrawt7envBw/J34/v07srOz4e/vD0NDw7/F+OV8v8x39t9qbAP/Gtz/FRBE4NTX12PXrl2ws7ODvb0939HMBw8ekHSqhQsXEs/0vHnzYGtry1KcgGZiA3d3d672S38HampqsHPnTri5ubHIywRRONasWQN5eXmyOUdEREBSUpKVavjo0SNQFMUi0RIU6enpUFZWhrW1NczNzSEjI0PqUE6dOgUbGxsMGzbsh9TanD59mis1OD4+HhYWFq1uioLU7wPNaYc0EVZjYyNcXFxgb2/PqrX7+PEjtLS0hOrtzono6GjIysoiKioKgwYNgp6eHuLi4ojH+v3797C0tISxsXGbxHWtYf369ejduzdJZ8zNzcWcOXOgra2NRYsWkfN27tzJinzzi+3bt0NJSQkTJ05kPae9vT2cnJwgJibGasH14cMHODs7s4j02jIUmBEU+t3X1NSguLgYXl5eUFBQ4BlluXfvnlAKe3l5ObZs2QJpaWn07NmTeNNpZtsdO3bA0NAQSkpKcHJyIuugPaylbaGyshIbN24kjOQ/slsBE7W1tdi5cyc8PDxga2sr1JhWrVqFgIAADB8+nBiYHz9+hJqaGkxMTJCQkICkpCS4ubmx0ucEAb1+d+zYQXoYv3nzBtLS0ggPD2cRAN64cQP9+/fH+vXrBX5fnOfn5eXBxMQENTU1yMjI4HIm7du3j+VUAATrS80vqqqqkJaWBldXV1ZGjzAdOYBmR2anTp1YTORAsxN10KBB6Nu3L1xdXQV2nAqC2tpapKWlwcnJSai5d/r0aVabneTkZOjr66O0tJTMl6qqKkyYMAFmZmbkunS0GxBMD2loaICvry8h2qJBG92urq4s2ScokpOT0alTJ/zxxx+s4zdu3EDHjh0RHh5OnLTMtlBM5ngabX03ptEniNEtLPbv3w9paWncuXMHFRUVyM3NxcSJE9GtWzfirD9z5gx8fX3h5eUl0FzIysqChYUFCgsLWc+ZlJQEDQ0NnunIV65c+SEtXqOjo6GoqAh7e3vIysrCy8sL9+/fJ8+RkpICiqKgr68PExMTgflymIiKioKRkRESEhKI3kAb3Z6enu3KeGGOac+ePZg3bx7i4+PJHl9TU4NTp07B0NAQLi4uPOVKW9/q8+fPMDMzYxHF0cc3bNiArl27srhKrly5gk2bNkFLS0vgEi1B52t2djZp3ybI3GsPkR+Nf6Jjxt+Jfw3u/yIwU0NbQn19PR48eICUlBS+o5mPHz+Gvr4+4uPjCVstLZCOHj0KExMTuLm5kajm58+feUat/q4xNTQ04NixY0hKShIqpaSxsRHBwcGE9ZCzTVZtbS3ZdO/fvy/0mG7fvg1paWnimCgoKABFUVi1ahU55+TJk9DV1cWYMWME7sfJHM/Lly8hJSUFc3NzjB07Fh8+fEBNTQ2ePXsGfX19YuQLumk1NTWx3u23b98gLy8PHx8fwuB67tw5ODk5wdDQECdPnsSRI0fg5+cnUMSvJezcuRPq6uok8nL58mVQFAVdXV1ERUWR1Lo3b95gzJgx7RLAUVFRsLe3Zx17//49hgwZAgkJCZ4EQfxuGvv27UP37t1x4MABYuDQvz1x4gT69OkDJycncn5FRQV8fX3h6urK9zvcuHEjKIpCTk4OcRZFRUWRd/Lx40d4eXlBUVERjx8/Rm1tLUJCQlgpbcK0IcnMzISMjAy0tLRY9exA83x79+4dli5diiVLlghFxtaad7slJCUlYe7cuX97ytn58+dZ7UgEYblevHgxZGRkEBkZCV9fX/To0YOU53z//h3Dhg2Dg4MD7OzsMHLkSIGNKua9Xr16BSsrK9jY2BCj++zZs+jSpQuGDx+OjIwM/Pnnn/D29sa4ceO46icFwaRJk7BmzRq8fv0aKioqiIqK4urpfe/ePfj6+rLKGDZv3sx3X2pBUFpaitTUVCxcuJDv+cBc19u2bUNMTAzWr19PUih37NiBzp07Y/r06bh9+zZycnLg6+uLhIQE5OTkgKIonDp16oeOg4m6ujpcvnwZmzZtEniOX716FRRFwdLSkpQo7N69G+rq6sRpSs+1Dx8+oEOHDly91/mVe9+/fye1vWvXriXkksx9/u7du/Dx8YG3tzer9IhfpKSkoEuXLqR1GY3k5GQ0NDTg9OnT6NChAyIiIriMbhpMwqqW0NLfs7Ky2jS624Ply5fD29ubday+vh5hYWHo06cPvn//jrKyMty9e1fgkreioiLyTnJycsjxjIwMiIuLszrM0Bg3bhwhZRN2jL/99hsUFRVJIGffvn2gKApOTk6sdoCPHz/G5cuXBdozWpJd8fHx6NOnDxISEliR7s6dOyMgIECoyDYTUVFR6N27N3x8fBAcHIyePXuS8oba2lqcOnUKxsbG0NfXF/i9/fnnnzA0NMTjx4+5SIhLS0uxZMkSdO/enctR2Z4xMVvZtYaGhgbcv39foLn3Iwg1/5vYyFvCvwb3Twy6BRbQzGqckJDA18Ll1baiLSxduhRycnLo1q0bV5Ryw4YNsLa2hoqKCuzt7WFhYSFQLTATly9fRmlpKYBmBXTv3r18jYm5INsyIjmvV1VVBUdHR9y6dYukxnO2ybpy5QrrN8Is7rS0NAwaNAhA82amqqqKCRMmcF3z9OnTXJGetsBLIOXk5ODw4cPQ0tKCmZkZwsLCUFhYiBEjRsDGxkbg5wfYQjctLQ3FxcV4/PgxDA0NWQRit27dQlBQECQkJGBkZIR+/fq1O4rZ2NiIXbt2kf7hf/zxByQkJLBlyxbExsaiZ8+eiImJ4YreC3o/+vxt27bB3NycVRMHNDuZREVFISYmxnefdSY+f/4MV1dXbNiwgXW8vLwcf/75J06cOIHly5dDX18flpaWhP2Y2Ru4rTGlpKSga9eurA139+7d6Nq1K2JiYlhGt5+fHzp27AgLCwtoaWkJ5YRh/puXl4dXr14hOTkZxsbGLbJAMyHMnNi+fXubkRVe0TdBFQAmBMn+EMSof/bsGVavXo3Lly8DaK6fXrhwISiKIvOkqakJlZWVLDIiYZ0UQHMNqI+PD+zt7ckcz87OJj3KVVVVWRlDwrDt3717l5U5tGLFCq6e3lVVVfDz84OPjw+rRZazs3ObxrawCj7TwGtrvnNG4WRlZUlphLW1NXE+Z2RkkN62SkpKMDc3R1VVFXJzc6Gtrc0XORbdoqqlv7UG5twUZA0fOXIEFEXB2dkZAwYMwMGDB1FeXg45OTmMGjWKdS7tfGcakvzi2rVrkJeXh5GRESZOnAgTExPo6enhxYsXXFwNT58+5VvBZ+LixYugKIpF9AeApNnTDoSsrCx06tQJv/zyC6slGb+gv8WNGzewdetWLF++HK9fvybzija6w8LChHpXNM6cOYOEhASMHz8e2dnZqK2txdq1ayEnJ8e1F9CdWzjT74VxOtNp13PmzCHHhgwZQtpN5uXl4evXr4iJiYGCggJPDobWwMyoKC0tRWRkJOnhnpGRAQkJCfz222/Q1NSEk5MTbt++zSV7Bdkzrly5guTkZKJb0pg/fz5UVFSQkJBAAkYFBQVCtf5iYvPmzVBRUSH60N69e0FRFCvrora2FocPH8aIESME3v9SU1PRtWtX8n9O2fD27VuIi4uzgjm8zuMXW7duxZgxYwAIlgkkCLs68J8h1PyZ8K/B/ZOiuLgYGhoaMDExwaRJk9C9e3e+0mCYE7It5sXGxkZy/pEjR6CoqAhdXV0sWLCAa5O6desWUlJSkJCQIFAtMBNv376FpaUlvL29MXHiRHTs2LHV2ileY6LJ0/g5lylUx4wZAxUVlRbbZHEaR/yA2aahqqoKK1asgKurK75+/YrevXuzeizu2bMH06dPF0ogMsd04cIFpKam4tSpU8Rob2xsxMaNGxEQEAAJCQn069cPFEVxsaK3hdu3b6NLly7Izs4miie9uT969Ah9+vSBn58fizTr9evX+PLli1C9F3m9i7y8PBQWFiIvLw9mZmb47bffADSXMMjLy0NJSYlEzvh9ly1tdnfu3IGSkhJXa5pTp04hJCREIEIsJj5//gx9fX1WBGbjxo0YNGgQKIqCtrY2jI2NcePGDUyZMgXTpk0TqFf0/v37QVEUiVYxozV79uxBx44dWUZ3U1MTtm/fLlR0jDn3CgsLUV5eTgzC4uJirFu3DsbGxoiIiCDnzZw5k0TIhFUAPnz4AHV1dRIBbu06zO/LTJduCcwxXbp0Cenp6Th69CjJOGlpvjB/x+mhbw1ZWVmgKArKysqsmtlv374Ro5sXWRG/7475XImJiUhMTCRjOX78OLy8vGBvb09qF798+YK3b9+yIkvCZASsW7cOsbGxmD9/PjmWn5+PiIgIUBSFadOm4ZdffoG7uzurpzf9fpk9cNsaV0NDA99prcJ0KwCaZVl4eDghhLpw4QICAgLQp08fYlTl5ubi5s2buHr1KrlPbGwsdHV1BSYAvHTpEi5cuMDap1pSKJnHhWGHDgsLg4uLC4KCguDk5IRjx44hOzsbMjIyCAoKwqlTp3Djxg34+vrC1tZWKMX28+fP2LlzJzZs2IDw8HD4+PiAoihoaGhAU1MT7u7u6Nu3L1cauCDIycmBk5MT+vfvT4yd4OBgGBsbk/2Q/uanT58GRVEClwPR6442DL29vaGmpgZHR0ds3LiRzMOsrCxoaWlh4MCBQqUop6SkQEpKCk5OTpCRkYGYmBg2b96MmzdvwtTUFPPmzWPpO7dv34auru4PIYTMz89HbGwsjIyMWBlPI0eOhLy8POTl5WFpaQklJSWBWdaZGRV0h5zz58+jqKgI9+/fh6amJilF3LVrF0kjb48RPGbMGCgoKGDLli1ce8DIkSOhqKiIqKioH0KO9v37d0RFRZGSiGPHjkFMTAxr1qxBeHg4unTpQggNmY4xQYzu7OxsLoc6J8zMzDB9+nQhR8FGcnIyunTp0mZ9PnNPun79ukD74H+KUPNnwr8G908GppGUl5cHUVFRdO/enTA2tqZAMCfp2rVrYWFhwbNXJ8BtmBYVFeHr169YtmwZqR0pKCho9VkFqR+jn+/o0aMkkk5HlVvz1jPH9Pvvv8POzo6rrQKvMSUkJMDV1ZUIrPv378PZ2Rn6+vrEQCkuLm53m6ysrCyIiYnhwoULePToEezt7dGzZ08S9WO2HQkODubLIGgJUVFRUFVVhY2NDezs7GBqasplFKalpSE4OBgeHh4Cj+nt27eYPHkyevbsCQkJCfL96SwL2ugOCAjgyXAtLBv59+/fuZTV69evQ0tLixj3Dx8+xKhRo7B+/XqBxsU8d9WqVZg9ezYmTJhAlOrDhw+jZ8+eGDt2LFJSUnDx4kUYGBiwlBBBlc/Pnz9DWVkZ4eHhOH/+PIKDg0nU5/Tp0zh48CC0tLSwdu3aVp+XF5KTk0FRFHr27ImtW7eS3t3MdUIb3bGxsTzXljApysuWLYOjoyMMDAwwZMgQYoCUlJQgKSkJhoaGcHBwgLe3NxQVFdud0l1bW4ugoCAEBQW1eh5z3KmpqZg8eTLfpRpRUVHQ0dGBgYEBnJ2doa6u3qICwbzPxo0bYWhoyHf7lZcvX2L69Ono0qULifLQ1/v27RsWL14MiqK4UmQFxZw5c9CrVy+sW7eOtZ6OHz8OT09PODg4cGVzAMJFyD5//gx/f39QFIWxY8cC+GtMJSUlSE5OhqenJ0JCQhAbG9suR8/q1asRFBQEAwMDrF+/vlWlmfM78duzdd++fdDU1IS9vT3LEXD16lUEBARAT0+PqzbyyZMnGDFiBKSlpdtkbY6JicGaNWvI/2fMmAFFRUWIiorCycmJlDtxjp1zTGvWrIGenh7f9eJ0RDYtLQ3jx4/HzZs3ERQUBBcXF+zZswcPHz6EiYkJlJWVoa2tDVdX1x/GgVBSUgIrKyusWLECp0+fRnx8PIYNG9ZugzEnJwfe3t7w8/ODo6MjzMzMiLHN7IyRn5+PnJwcoWTRlStXoKCggG3btgFo3hs7deoEU1NTrFmzhsiYzMxMGBsbCxxF3759Ozp16oQTJ06Qa/n5+UFVVRVFRUWYP38+HBwcMHHiROTk5ODJkyfw8fGBq6urUN+F1xr4+PEjFi5ciD59+rD4CS5cuID9+/fj8OHDQhmozIyKgIAA7N+/n/wtKSkJ7u7uJBNh9+7dmDRpEoYOHdrulOHw8HBoaWlh8+bNrEj3b7/9BhUVFTg7O5P9UhDwenePHj3CmzdvkJOTA21tbSQlJQFoNr4pigJFUe3i6cnNzYWcnBz69+/PaplHf/uSkhLY29uzyAf5BTMrjOlw9fX1xcyZM1FfX89zzJy6eOfOnflmRP+ZCDX/k/jX4P6J8Mcff8DExIQInpcvX0JZWRm9e/eGlZUVMZ55bcicHiEpKakW+28zz50/fz6r5hdoJk0zMzNDXFwcUdxGjRolVLuBlJQU2NvbkwWVnZ0NDQ0NGBsbo3///kQA8hK2nAtPXFycrxTfefPmQUZGBllZWURY1dfXIy0tDaamppCXl4ednZ3AbbI48fHjR0ycOJEI25KSEkRGRkJbW5sYU7m5uZg7dy5kZGTapWhs374dCgoKpI56+fLlEBER4amkl5SUCF2TuXr1alAUBVFRURZRGv39Hj16BAMDA9jZ2QndfoI5/xYvXgxXV1fIyckhNDQUBw8eRGNjI65cuQIdHR0kJibizp078Pf3x/Dhw8nvBB1XQEAAtLW10b9/f9jY2KBHjx7ku504cQJ+fn6Ql5dHnz59EBwczPNZBcG5c+cgLi5OslTOnz9PFPmSkhKYmpoiLi5OoGtu2LABnTt3xpkzZzB37lyoqakhMTGRp+G3d+9eiIiIYPLkye02fufOnQtZWVns2bMHe/fuhZOTE9TV1Uk9XmlpKQ4fPoxRo0YhPDy8XbXHTDx48AASEhIt9hvmlHkiIiIsOdbSuUCzMSYrK0scOuvXrwdFUazf80pXp+UQk9iOn7EUFBRg/Pjx6NatG9eaLS4uxvbt29v1nVJSUiArK8tKb62pqSHf4OLFi/Dy8oKOjg4rm4Nf8FoH9+7dQ2hoKLp27UreI/M8znpCYRTq2NhYKCgoICEhAWvXrkXPnj0xefJknhFFQb4TJ/bs2QMXFxdISkpyGU/Xrl3DwIEDISUlRSJADQ0NePDgAaKiotrM0iooKMCAAQNgb2+PrVu34v79+zA3N8ft27dx8+ZNTJ06lasfOjM7hTkmaWnpFvd1GhcuXOAiJCsoKICSkhK2b9+OwsJCBAUFwdnZGadOnUJjYyM+fvyIJ0+e8J3xQD/X8+fPcfHiRVy7do3lCK+trUVxcTFUVVVZGWU/Cjk5OSQ1ldYJmGvPy8sLVlZW5P+CrK2GhgYkJiZi2rRpAP7qrzxq1CgMGjQIioqKSEpKIuNtKQDQEm7evAmKoggxJ/0us7KyICEhgdevX6OxsRFLliyBnZ0dKIqCoaEhiyxPEKObvv7FixexePFiLFy4kDjT8/PzidHNT7sqfsHMqGC2wYyNjYWOjg4KCwtRVlYGf39/VnahIORbb968wbt371hOgdGjR0NbWxvJycnEqI+NjcWBAwdYJK/8gvmeeWXYHD58GLa2tmQPzs7ORkREBFJSUtq972ZkZKBLly4ICwvjkjFxcXFQU1NrV/96Tmf8vHnzWGVtLREBJicnQ1JSslVd/Gcl1PxP41+D+yfBsGHD8PjxYzJR6TSe8vJyvH79Gnp6erCwsOBKJ+MUAoJM0gULFkBWVhanT5/mUjISEhJgYWEBLy8vuLi4QE5OTmABsmDBAmRlZREhSqc0FhUV4dChQ7C3t4evry9XaiFnhEqQMT179gxGRkasyC8z3Tk3NxcrV67Er7/+il27dglFzgE0pyP3798fxsbGpC4TaDawR4wYAR0dHUhJScHKygqampoCp2VxYurUqUQBOHz4MKt3c2VlJU9PtCC18XTU/+XLl7h48SKmTJkCcXFx0suZ+X6ePn2K4cOHtzsCEh8fDzk5OaSlpeHJkyfQ0NCAjY0NYRWNiIiAmpoalJSUYGNjI3CtKY3NmzdDXV0dX758Ic8cExMDaWlpUmdWXFyMwsJCvtI7+cXnz595trspKSmBs7MzV2uU1nDr1i3Iy8uzjM/p06dDTU0N69at42l0b926FU5OTu0i88nKyoKJiQlh8z9x4gRERUVhZGQEeXl5Mq853xW/soL5bCdPnmRFZr9//47hw4fjl19+4boHL+OqpXpg2tHFTL2fMmUKIcWj11NKSgqAZplLG4tMBbAtOcR8vi1btiAmJgahoaHIyspCeXk5SkpKMHHiRIiLi7cYzRZWSYuJiSHtYF6+fImUlBQYGRmhb9++pE1gRkYGZsyYIbDhyxxXVVUVa669evUKAQEBkJWVJQ4YegztXT8ZGRnQ1NQkxvy9e/dAURSkpKQwYsQIVnsfQb5TS+vh6NGjsLCwgKOjI1cf8wsXLiAqKorr3fH7vXJycjBmzBi4u7tj7NixrE4YBQUFiImJgZmZGcvoZl6b3z3wwoULJMLWr18/bNq0iTgn9u3bh4CAAJSXl+PJkycIDg7myRbe1nej398ff/yBXr16wdjYmGR1cWY+DR48GNHR0azf/Si8fv0a/fr1g4+PD2sP9vHxgY6OjkB17pwO6rdv3+LZs2eorKyEs7MzyeL4+vUrpKWlSVRT0LZVtIHk4OCAPn364MKFC+Q516xZAxkZGXJOU1MTampqcPnyZTx8+LBd5R9HjhxB9+7dSe94KSkpkjVJG91GRkaYOXOmwNdmoqWMCrqM4dOnT+jVqxd69eoFDQ0NGBkZCcVGnp6eDhUVFSgoKMDb2xupqankb+Hh4TA0NIS1tTUGDBiA7t27C5Wuzvyuv/32G/z9/TFy5EicPHmSfIu0tDRQFIV79+7hy5cvCAgIIHMFaB95Z0NDA2Hj19XVxdixYzFv3jyEhoZCUlJSIJ2yqamJJbvS0tKgr6+P06dPk/lWW1sLNTU1rm4MnHutIEbwz0ao+Z/Gvwb3T4ABAwbAysqKCB7aA8pUyB8+fAh9fX1YW1uTCOaYMWNYqWgpKSl8L4a8vDxYWFhw9Q9lCr8tW7Zg6tSpGDduHBEc/Cpr7u7usLW1JYv17NmzoCiKpMDU1dVh9+7dcHBwQEBAAFHixo8fz1pkmzdvhri4ON8L/Nq1a5CQkODZGqEl4SdoT+8HDx7g+PHjcHBwQOfOnbnYrL99+4Znz55h8+bNuHz5slDkMJyYMmUKfv/9d5w+fZpF+tbQ0ED6WvLD+M4EU7H69OkTK502NzcX48ePh7i4OKtv5+rVq0n7OM5r8IumpibST5u+9tWrV9GtWzcu5e/BgwcsQhV+NjDO77ls2TI4Ozujvr6eNb8jIiLQu3dvnumZP1o5pPH582f4+fkJ1EseaK5ppg1H5hjaMrppCEOIBTSTBkVFRQFoNohlZWWxceNG3L17F8rKylBVVSWKm6D3Ys6dvLw8dOrUCU5OThg1ahQxvE+dOgURERGeqdDAX8Z2S/Jh3bp1oCiKKOT0swUHB2PJkiU4ceIEevbsSWrFGxsbsWHDBq42WYKkts2ZMwdycnKIiYlBcHAwtLS0MGPGDDQ1NeHt27eYNGkSpKSkhO7dzCvyMGnSJPTs2RO//vorzM3N0b9/f3J/KysrLsesoDIPaF5Hrq6uUFdXx7Bhw8g7ff36NYKCgqCgoEBq1Nu7fpqamnDq1CnCjnzs2DFISEhg7969OHnyJOk3Sxv5NDZv3sy3U+TVq1d4//49y7hOT0+Hu7s7XF1dW0ynFWTdMu/34sULjB49GvLy8ujfvz/rPNrotrS0xKxZs7jGxO8e+OrVKzg7O5MxTJkyBdLS0khMTMSaNWvg7u5OFNunT5/C1dUVkydPFvh7nT17FlJSUmTd7N+/H926dcOAAQNYDOchISFwd3cX6NqCgE4v9/X1xdWrVxEUFMQytgVxpF+6dAnbt29n7dd37tyBgYEBmdePHj0izP6cTpm28Pz5c/j4+BDZZmtrCzU1NTx//hyHDh1C165dSfo1PzwS/KKqqgoxMTEkfTc/Px8hISGQkJAgbcYKCgoQFRUFa2trgdOu+c2ocHR0xPHjx0kZ0saNG4XqKpGfnw8DAwNs27YN+/btw7hx46Cvr09kBdC8ZqZOnYoxY8YIlVnIXA+rV6+GmJgYYmJiYGBgAHt7e6xcuRINDQ1oaGhAUFAQ4WZhclX8KB2CdloYGBjAwcEBv/zyC+k8wS+YuuHZs2exdetWjBo1ChoaGnB2dsaqVavw5csXLF68GCNGjOA5BzZt2gRJSclW5dA/Saj534h/De7/MAoLC2FqakoibZmZmYTBVkREhEQngGZhb2hoCFlZWVhbW0NTU5MIKpp8gl9CksePH0NUVJQQjzAXSks1kPwKxVevXsHU1JQstNu3b+Px48eYOnUqJCUlSR0jnebt4OAADQ0NuLm5QUlJidyHZn5saeHxUjxv3boFNTU1UjcO/LVJpaenE6IpQcAZhaMoCg8ePMDz58/Rr18/2Nra8p26KCzoFPLu3buz+qF/+/YNnp6eWLhwodDXjouLQ58+faCgoAA3NzdkZmairq4ORUVFmDBhArp164Zly5bB09MT+vr6P6Q9w4cPH2BsbAzgrzpqOsWooqICe/bs4cp8ELR/OE2ysXjxYigoKJDjtIF9+/ZtKCgo/BASmrbw5csXLF++nLRPay+jO/N3/BrdbaElwsGvX7+ivr4e3t7eJA2+oaEB7u7ukJeXh5+fn8D3un79OlFsZ86cia1btyI/P5+UoKioqGDMmDE4c+YMgoKCMHnyZK5IyI4dOyAiItKqAvD06VOMHDkSsrKyLKN7+fLlsLKygqioKMvb/uXLF/j6+rKIltLT00FRFF8Gz6lTp1ht7U6dOoVOnTqxjOv8/HyEhoaib9++fLwpNpjfqKKigrVGxo0bB2tra/z2228kqnnx4kVYWVkJxdTMxPz58yEtLY3Vq1cjOTkZJiYmcHBwION6/vw5hgwZAoqiWnSOtAZeymlhYSHy8/Px5csX2NraEsdmZWUlVFVVuQixtm3bhg4dOrS4XzDf3YIFC2Bubg5FRUV4eHiw0p4PHToEd3d3eHh4CNxNoqX70UbWu3fvMHr0aCgrKxNjlXnOxIkTMXr0aBYJYmt7IC+8fPkSQUFBCAgIwNmzZ5GVlYWgoCBCYjZw4EAiP969e8czfZ3XGIDmPbuyshIRERGkR/C7d++gqakJb29v6Ovrw9PTkxjdZ86cEWo+CIKcnBz4+fmhc+fO0NXVFcjYppGeng4xMTHMnTuX1S7r8uXL0NDQwIEDB1BVVYWFCxciNDRUKOK6kpISmJiYsBwqtra2EBUVhaioKNn/fiQTM50Z5eLiwooglpWVYejQoRAXFydlaoWFhUIZ24JkVNDcAUwI2sOZ7sRCG5E5OTmYPn06dHV1WUY3v9duDffu3UNkZCTRJSorKxEZGUnkEZ01lZmZiT/++EMoMmF+0NDQwOInEARnzpyBoaEhgGbuCEtLS/Kdr1y5gtWrV0NGRgYDBgyAubk5unfvzpUheuPGDVAUxbee+3cTav634l+D+z+MwsJCuLu7Y8KECRg6dCg0NDRIpDEhIQEdO3ZkGd2lpaVYvHgxVqxYQRZ1U1MTbt261SKrMq+N9OvXr9DR0WG1FaCvd/ToUS6PpSD48OEDpKWlERMTg3HjxqF3794k7XnGjBkQFRUlRndDQwMuXbqEefPmYfr06eQZqqqqsGfPHsL2yAlOBlt6oTY1NcHMzAy2trYsZammpgYBAQGYOnWq0OP69OkTtm3bxnpnz58/R9++fdG3b1+WUiTMptkWy21YWBjExMRw//595Obm4t27d+jXrx+srKwE7ktOY/PmzZCWlsbWrVtx5MgReHh4wMzMDBs3bkRDQwMKCwuxYMECGBsbIygoSKgaMua59Cb56dMnqKio4JdffoGEhASLpfnhw4fw8PBgpQm2htraWnJdeh7Mnz8fHh4eAP7yiAcHB7PWwpUrV6Ctrd3uFiH84P79+/D398e0adN+WK9opjIxY8YMaGpqYunSpUIR8zG/0cKFC+Hn58faXPPz86GkpESUpeLiYgwePBinT58W2JP/6dMnUBSFYcOGITw8HOLi4lwZKdu2bcMvv/yCTp06oUePHujTpw8ZF81YPXPmTFLywAnmMz1//hyhoaGQkpIiTsC8vDyYmppCQ0MDV69exffv3/Hu3Tv4+PjA2tqa9Y0yMzNx7tw5rnusXLmSyyCja4GB5qifqKgoMazKy8tJNkBhYaHAMoJ5/vLly+Hm5gYtLS0EBgaStGtmJLuurg7e3t4YMGBAu6It79+/h76+PsuZW1xcjMDAQJacvXfvHubNm9eulPWPHz/izZs3LOfKmzdvoKenh+PHjwNoLkmaPHkyjh49Su5VUVGBVatW8dWZIT4+HjIyMjh58iRu3bqFIUOGQEREhJVRlpGRASMjI0yePFmgsfAaU0JCAgYMGECc269evcLo0aNhb2/PVVby9etXVglUVlaWUP29X7x4AW9vb3h5eeH58+doaGjA06dPMW7cOLLWmHOitbn49OlTTJw4kZxfW1uL7OxsPH/+HN++fYOpqSlJoz148CB69OgBd3d3Ej39J/D8+XNMmTJFKNl67949yMnJYfv27Vxzt6ysDF5eXtDQ0ICOjg6kpaVZnQb4Bf1+b9y4AW1tbZau5ufnh27duuH69evtNhB5tY/q27cvi8SLfpbv379jxIgRoCiKK0uJXwiTUTFp0iShxnTy5EkMGzYM48ePJzKWBm10GxgYkM4mwoD5/g4dOgRjY2MuZvhv374Ro3vlypVcc+3v6BfdUj11W2hsbMTFixdhZmaG3r17Q0JCgqcTsaCgAJs2bSKdVDw9PbmcL/xy9vzdhJr/zfjX4P4JcOnSJcjJyaF79+4sRkfgL6O7JQO4rcXdUv1dQ0MDRowYATs7O5aSUl9fDx8fH77ZXTlB/yY7OxsdOnSAqKgoy3B6//49l9HNCUHS11etWoWAgAAMHz6cRKA+fvwINTU1mJiYICEhAUlJSXBzc4OBgYHQi/rly5egKAqKiorkW9Dv9tmzZ/Dy8oKPj0+bhDYt4c6dO+jQoQNP0if6ndIGgaSkJHr16gVLS0vY29sLHS3NyspCcnIyqxdiQ0MDxo4dC0NDQ5YRVFZWxlIE+QVnWu6KFStISvrq1ashKiqK0aNHk3FWV1fDz88P3t7efBkkdXV1CAsLw9ixY1mp4YsWLSKpSzU1NdizZw9MTU3h4uKCM2fOEIV66NChfI+lvfj27RvfZHatMRUzwbzOmDFjuJwKgmLevHmQlpbGqVOnWFHRuro6DBw4EKampti+fTvc3Nzg5OTE4gBoCydPniTZM2/evEG3bt3QtWtXllONc27dvn0b8+bNg4KCAomo0WiNqZmZQldbW4uvX79ixIgRkJKSIsbzu3fvoKurC0NDQ0hLS8POzo5FTNRaLfKRI0cQEhLC9R2Tk5Ph7++PS5cucUXPDxw4gJkzZ7KyEIRxzM2fPx/y8vLYunUrHj16BGlpaTg5OZGMgYqKCmzevBne3t4sEhx+78U5f/Ly8qCqqkpkE13fXlZWBjk5OSxZsoTrGsKkrC9cuBAmJiZQV1eHjo4OUlNT8fXrVzx//hzy8vKIiYnB4cOH4evrCzc3N6578VNSc+3aNVhbW5MOGVlZWRAVFUW/fv3Qo0cP1j578eLFdivPsbGxkJeXx549e1jr6eXLl8ToZjrUabQWdeYXOTk58PLygpeXFxkv5/Xbwvfv36GlpQWKohASEsIy1oDmKKaNjQ0h4Tp8+DDMzc3h7+8vFDnfj0Br+9Pt27e55MaePXtIqR4veVZaWoq0tDSkpKQI3I+aiaamJpSVlWHKlClISEhgPaeDgwPU1dVx5cqVH2KwvXjxgpC5vX37Fh4eHlBWViZp8PS8Kisrw7hx49qVhSBsRkVbYM79s2fPQkREBAMHDoStrS0oiuIyrF+9eoXw8HBYWVm12T62LVRUVKCgoAADBw6EqKgoVq5cyfp7aWkpJk2aBE1Nzb+FFLC9sLe3Z+n148aNA0VRMDAwIMda0hs3bNgATU1NMif4JVBk4p8g1PxvxL8G938Q9ARMTU0l/Sp/+eUXrhYjixYtgoiICGFVFvT6ALBkyRL4+vpCRkYGM2bMwIULF1BaWgp3d3dYWVlh6NChWLBgAezt7VmGqbAb/u7du0FRFDp06IB58+axeoK/f/8eM2fOhKSkpMCRdKawXrx4MWRkZBAZGQlfX1/06NGDRJO+f/+OYcOGwcHBAXZ2dhg5cqTAhilz7OXl5Zg7dy66dOmCBQsWkOvQz/P8+XPY2NggMDCwxVZsbSEsLAySkpJt9n/OysrCH3/8gYsXLwpNpEI7ECiKIhF75jV0dXUJCRO/kZDWMGfOHCgoKCA1NZWQdOTk5GDChAkQExNDZGQkpkyZwpVi1Nb9amtrMWvWLDg4OGDGjBlEyZg1axbLQKuurkZWVhZcXFwgKysLY2NjjBw5kvz976rZ5gVB7nXp0qU25xNzPrdHUX/8+DEMDQ1Z5RjMa507d460SPLz8xPIkIuPj8fAgQMJ4/3Dhw8hISEBERERhIWFsbzuzGwVoNlRuHz5cvTr1w/l5eVtju3kyZPEiAkPD4ednR2A5jUaFhbGMro/f/5MahAvXbokUEogPe4TJ04QFtmCggJIS0uDoihWGnl1dTV8fX0xZswYoecaXQNuYmJCop7Z2dno3r07y2j7+vUr5s+fj5EjR7arHRfdWqe4uBhqamqYM2cO+Rv97f38/LhqjoXBkiVLICcnh2PHjqG2thYuLi5QU1MjxGhbt25Fr169oKurC0dHR6HrJAsKChAfH4+6ujqcOXMG8vLy2Lx5MwoKCmBjY4OOHTtyKfLCKoP37t2DhoYGV/9Y+h3n5ORg7Nix0NLS4isyLwzoGmdvb2+erRzbwrdv3xASEgJHR0c4OTmxai2B5u/CbJk2d+5cLF68uF3tL/8ONDU1IT09HTIyMixdBGguqdLQ0CD/Z35vmgxL2HvyQnp6Onr16sVl5Do7O6Nbt248+WcEQVFRESiKwqRJk8h++O7dOzg7O0NFRYVwE/wIpw6NH5lRwYmPHz/i4MGDRP/98OEDFixYAFFRUSQmJrLOffPmjUC9oXkhMTEREydOBNDsbAwKCoKDgwNXOWJJSQlWrVr10xmL1dXV+P3331kOyKNHjyI1NRU2NjawsLAg84LT8KVhYWFBSHpbw3+KUPO/Ff8a3D8JSktLcezYMfTp0wfjx49ntXcBgNmzZwvNOBwXFwdZWVmkpaXh+PHjMDQ0hLm5OSorK1FUVIQVK1bA09MTPj4+mDhx4g9J8Xj27Bm+ffuGEydOoEOHDpgzZw6rN+KHDx8wduxYoeoY6euvXr2aRM/puneKokibiaamJlRWVrLqrQQd061bt0grmO/fv2Pu3Lno0KEDUaaZvQxfvnwpMJEKJ8LDw9GzZ88Wje6SkhKuljj8CC/OeVNbW4ujR4+id+/e8Pf356oPGjt2LEaMGCHMELiwZcsW9OrVi6RUMp+hvLwcW7ZsgZ2dHYYOHYqYmBi+5x/9zNXV1Vi4cCGsra0xffp0VFdXY8KECSwmYCY+ffrESt//WYX/+fPnoaysTCKXrT0n82/CjufGjRuQkZHhmTLJWUMnTLYDfS5z/j5+/Bhdu3bF0KFDW21xcvXqVcjJyfFVUzts2DCoqamhX79+kJGRYaXCvXz5EiNHjmQZ3ZxoS4Fipju/fv0aSkpKGD9+PDEODxw4AGlpaYwdOxY3b97EyZMn0a9fPxgZGbXbkfns2TPo6+sDaFaimNwH379/x4EDB1BbW4va2lq+sylocPZd79+/P5F9e/bsQefOnVkKbkNDA8zNzbF06VKBx8GUNyUlJXB1dSUZTydPnoSYmBgZF5M5+v3793w7GW/fvo2jR49yRaDoLIvhw4dj1qxZ5DqjRo2Cubk5vL29BWafZj4njbNnz0JVVZXVjoi+Jj2Hnj9/jqVLl/6tSjtd42xpacmlV/AC57hTU1PRo0cPrFmzBvb29vD39yff4Pz589DV1YWdnR2cnJzQs2dPodtF/hOgo+75+flkHty8eRNSUlKs9lQ0Q/jEiROxd+9egecC8/z9+/eT/sM0IiIi4Ofnx+WYiIyM/CFzYe/evejatStmzZrFZXRraGi0i5ugJfyIjIqVK1ey9oH379+TzgRMzoPCwkIkJCRAVFRU4EBUW9i0aRO6detGHCK5ubkYOHAgnJ2dW+QA+tmMbhqLFy9mla2cO3cOFhYWsLCwYGV6pKeno7S0lIwjICAAMTExrc77/xSh5n8z/jW4/8PgVBr279/fotFNT1RBJuyLFy9gYmJC6neuXr0KERERVhsFXs/yI+spDh48SIxu5gZTVFQklHGQlZUFiqKgrKzMMg6+fftGjG5mTTANQRd6bW0tVFRUYGpqSjaoyspKREVFoUOHDiT9v7Gx8YcabS0Z3Z8+fYKRkRGJ2AnDBs1UxOvq6nDkyBGIiopi5MiRqKioQF1dHerr62FhYUHaMbUXkydPJtHkFy9eYOvWrbC0tIS+vj6J1HESYvGzgTHPqa2txaJFi2BtbY3o6GiMHDkSkZGR2LlzJ/bv348//vgDBw4cwIYNG1iOn59d+GtraxNv+9+Ny5cvQ15eHjdu3ADAfr/Hjh3jUjb4nfNML/rJkychLi6O1NRUkvZ38+ZNdO3aFSNGjMDr168BAIGBgayo7bp16yAnJ9di9CI+Pp4VGTIxMQFFUTzJBF++fIlRo0ZBVla2RY4IfhAfH4+SkhJs27YNVlZWiIiIIM+fnp4OdXV1KCkpwdzcHAMHDhQ4w+b169e4efMmPnz4QH5bXFwMXV1dTJo0CeLi4qRbAdDM6O/k5MSKZAozv6Ojo6GgoIAtW7YQAqnv379jxYoV6NChAwIDAzFhwgS4urpCX19f4L2Cs7dtXV0dNDU18eXLF5w/f57lRKisrMSaNWu4Oj20Nfe2b98ONTU16OrqokuXLvD19WX9vaKiAnp6eiQLpry8HIMGDUJGRoZQ+yxzX6M5IbKzsyEiIkLWE9M5e+rUKUJWRePvVNqfPXuGmTNn8u2043yeUaNG4ddff8XevXthYGCAgIAAcv7Ro0cRGxuLKVOm/CMElMKAmSr+9OlTdO7cGVu3bkV1dTVKSkowfvx4lULeiQAAz3NJREFU2NjYEIdSfn4+FixYADk5ORaJmiD3Apod9nZ2dnBxccGtW7fI8ezsbAwcOJAYppxp7oLMBc55Sv//0KFD6NChA8vofv/+PUxMTGBoaPi31My2J6Pi+/fvsLOzY0X+a2pqsG7dOoiLi3NFXIuKirBkyZIW9T1+wKs2uqioCJ6enli1ahX5lnl5eQgMDISbmxsX2eHPBOa8+fjxI+Li4kBRFCkbrK+vx4ULF2BpaQlDQ0PcuHEDnp6ecHV1JWO9ffs2KIriyzkH/P2Emv9L+Nfg/knA6RHV09NDREQEV9sTQRWoN2/ewMjIiKRUcSozBw8e5Gp/8iONEPpaBw8eRKdOnRAdHc1VXyOosfry5UtMnz4dXbp0IVER+j7fvn3D4sWLQVFUi71uBUFubi60tbXh6OhIeirTRreIiAir/vlHgja66bZZnz59gpOTEyvdWlAsX74cQ4YMgZ+fHysKcfjwYYiJicHY2BiBgYEYNGgQ9PT0hL4PDfqbLFmyBAYGBpgxYwasrKwQFBSEmTNnIjw8HBISEvj8+XO7CKRWr16Nb9++obq6GgsWLICNjQ26desGWVlZeHp6QldXFxoaGtDT08OYMWPaNaa/C5yRTzodjO6lTRtyfzfs7e1hamrKSg2jW3cwU4r5BVOW0J0Yhg0bBiMjI+zYsYMYKrdu3YKYmBjs7OxgbGyMPn36kPlXU1OD2NjYFlMtr169itDQUPIOq6urMXjwYPj7+0NPTw9btmzhYhV++fIlfHx84OPjw/dYmHOO7qBAG03JyckwNTVFREQEqfOsrKzEs2fPUFBQIHBGwM6dO6GtrY1evXqhZ8+eWLlyJT5//oympibExcVBXFyc1e+1pqYG/v7+8PPza5fz7+rVq1BTU2O1dqJRW1uL8+fPY+DAgQgJCcGkSZMEbhfJnA+TJ0/GwIEDAQBeXl7w8PBAz549sW3bNnLOhw8f4OjoiIMHD/I9Brp37cGDB/Hy5Uts3LgRFEVh+fLlrGeIiYmBiooKZsyYAScnJ1hYWHCVM/CD06dP45dffkF5eTkmTZoEVVVVlJWVIS8vD+7u7ggJCWGVidXV1cHNzY2Lk+CfQmvz4/nz5xg3bhyePXtGmIIbGxsxd+5c+Pv7A2gmlDM0NGz3XPtPYty4cejZsyfZv3NycjBz5kzIyMigV69eMDQ0hLKyskC9jgFuToLhw4fD2NgYXbp0gaurKyFtBJp7lDMdQe3Ru7KysrB27Vqu47TRHR0dTWTthw8fWs0mai8Ezahggl5/2dnZRN+qqqpCUlISOnTowFVLXVBQgF9//VUoQ44zHZqJyZMno0+fPqxjeXl5cHJywqRJk356R/3cuXMxc+ZM5ObmkiAUHWSrr6/H9evX4ezsDFVVVbi6unLpevym5f/dhJr/a/jX4P6JwFzEBw4cgJSUFKvtCb+/Z17n2bNnUFZWxtKlSyEpKclKm7p58yb69+9PSA3+LjA9rhRFsYiE2kJLG3pBQQHGjx+Pbt26cRnWxcXF2L59u8AeXM4UTKZ3U01NjcvopvvpClqzzS8hVnh4OERFRbFnzx64ubmxjBBBx7ZmzRpIS0tj5syZsLGxgYSEBA4cOECud/ToUaiqqkJbW5uV8itM7Scn7t69i9mzZ8PExARr164l9a7Hjh2Dm5sb3/V+1dXVLObbxsZGXLp0CaqqqmTDrKmpwaJFi+Dq6oqxY8eSd8vZh/hn2TA5nV2ca/HJkyeQlZVlRTKFRUJCQosRKCYXgbGxMTQ1NbFmzRqsXbsWHh4eQhEOMt/xqlWr0KlTJ5KiPHToUOjp6bGM7ocPHyIuLg4LFiwg9+K3Tpy+V3p6Omv+jhgxAjo6OtiyZQtrnVZXV6OiokIogyEzMxMJCQlcqcrJyckwMzNDZGQkz/fM771SUlLQtWtXbNmyBU+fPsXQoUMhJSVFnK+PHj1CSEgINDQ0MGnSJMTGxsLNzU0g7oOWsG/fPujo6LAcFPS1aLnIqZzxOy+Y8+H27duwsbEhBsiOHTtIaykaFRUVhCCNX0XtxIkToCiK5TB49uwZxMTEuGrNnz9/jjlz5sDR0RGhoaFCk0+uXr0aRkZGsLCwgLS0NKvrwa5du+Dg4AA3NzekpKQgNTUVHh4eMDY2/ulYeb99+wZ9fX1QFAVXV1eMGjWKcKzU1NTA2NgYmzdvRmNjI/bt2wcLCws4Ozv/9EZ3S7L+l19+QZcuXYjRXVFRgZcvX2L9+vXIzMxsV3lYUlISREVFcenSJeTl5WHPnj1wdnZG3759yZwvLi6Gnp7eD5Htq1evBkVRrLZY9HdJSEhA586dMXPmTBLp/rvBT0ZFS6itrYWhoSE0NTWJwVZbW4vExESeRnd7jbjU1FS4urriypUrxNFcWVkJXV1don/T42AGB34WHQJgP8v58+ehoaFB9ovKykrMnz+fZXQ3NTWhoaEBT548YZXotDW2f5JQ838R/xrc/wA4hU5rQog5oc+dOydU/R2nt2769OmgKAqxsbGsc9oTEeFcePwqxBcuXBDKiNuyZQtiYmIQGhqKrKwslJeXo6SkBBMnToS4uHiL0ezW7sVLqJw7dw7BwcEk7Zg+Jy8vD71794a7uzuJNlZVVRHGbWHADyFWZGQkKIqCvr6+QMY25/dYunQpiwF93Lhx6N69O/bt28dqB9ezZ0+Eh4eT837UptLU1MRVS+/r68t3y6KmpiaMGzcOdnZ2rDY5x44dg5aWFmpqashaYUa6p0+fzvWOf5aNcvbs2QgODiYGYlZWFsTExODu7o5Dhw6RCNOvv/4KIyMjYqwKg8+fP5NeqW2lSJaVlWH48OGwtbWFra0twsLC2tU3/Pr165g8eTJX+jYvo5t5fX7mOdP4y83NhYaGBgYNGsSqIRwxYgT09PSwYcMGfPjwAS4uLqzIkiDy7+7du9DV1UX37t1JyhyTnGbz5s2wtLTE0KFDhVLYt23bxtXvlC6hYUawXrx4gcTERJiYmCAwMBAzZsxoF0EajcOHD0NFRYU4xejzGhsbkZqaytVCT5i1dODAAQQGBpLuBECzsRcdHQ1dXV3Y2Nhg2LBhJNuB37lXV1eHTZs2QUxMDLNnzybHg4ODQVEULCwsMHnyZISHh+Px48fE+PgRpVQDBgwARVEIDQ1l1WwDzTJq/PjxJIOD2V7xZ1I+i4uLsWrVKujp6cHW1hZ79+5Fr169EBgYiMWLFyM+Pp6k9VZXV2PHjh1wdHTkchr+TKDn55UrVzB37lysX7+elSkzceJEdOnSBTt37uTSm4S9X1NTE0JCQriyqTIzM6Gvr8/qib1gwQKMHTu23azaQLNTvUOHDkhMTGSty40bN8LIyAjS0tLtJhQTBsLolwUFBTA3N4eJiQmX0S0iIsKzVIhfFBYW4tGjR9i1axeePHmCRYsWYdKkSRATE8OAAQOQmJiIiooKREZGsrKIeJGT/mzYuHEj5s2bh6ioKAB/zf+KigrMnz8fHTp04FmHzs94/lOEmv9L+Nfg/geRlJREyJr4JSMABKPlX7lyJXx8fDBgwADMmzcPtbW1+P79OwYNGoTOnTsjPj4ec+bMgaenJwwMDNodEdmxYweJ+rYF5j0EUWzmzJkDOTk5xMTEIDg4GFpaWpgxYwZh7aUjzUxWYH6f5fPnz7hz5w6pBb958yY6deqEYcOGcRkBx48fB0VRcHR0bDfpCL+EWI2NjUhOThZImWbOh6ysLOzbtw8hISFcJFHjxo1Djx49sH//fjIPjhw5AklJSYSEhPA1Djc3N56pbC2hvLyc9PtmKtP8KO5Xr16Fu7s7/P39Sf/lS5cuwdHRkZxDX48mUlNTUxO6Vdvfjd9//x0WFhYYP348Xr58icrKSjx69Aj9+/eHg4MD1NTUsHfvXiQnJ8PLy4sQ7wjb5/j9+/eQk5ND37598fz58zZ/V15ezsoMEMYYyczMhJGREdTU1IgRxzRQhw0bBkNDQ2zcuLHVNl+8wFRS9+7di8rKShw7dowQ8DGN7nHjxkFbWxsaGhqwtLRskZ2VE5zzsqysDElJSejduzc8PT3Jceb11qxZgzFjxgglU2njkPnsdE/T6dOnIyIiAufOnWtR5grjoD169ChJg3/48CEUFRURFRVFWj0BzevK1dUV8fHxAo+JibKyMoSGhkJeXh7Ozs6sv3379g1nzpzB6NGjMWnSJKxYsUJgJ0JpaSm2bt0KGRkZzJo1C6GhoTA2NsaZM2dw48YNpKWlwcbGhqT5ZmRkkN8K4zyoq6tDbW0tFixYgJiYGFhaWmLKlCk8v8+XL19QUVEhFOHgP4UvX74gKSkJMjIyWLVqFaqqqrBhwwZ4enqSrha0gV1TUyN0R45/EidOnECnTp3g5eUFUVFReHt7s0rBJk6cCFFRUaSkpAgsgzhBf9vIyEgEBARwtapbvHgxRERE4O3tjYcPH+LFixeIiIgQqIUafY/Xr1/jzp07qKysJMdWrVqFjh07IjExkcjH2NhY7Nu37x+LbgsK+tnLy8tZTo+ioiIYGRlxGd3Lly+HlJQUq+yJX2RkZMDX1xcKCgro2bMnpKWlMWDAALx69QpPnjxBXFwcJCQkMHjwYHh7e4OiqHbxfPzTcHV1JY51zrlXUVGBBQsWgKIoVtCCH/yThJr/y/jX4P6HUFpaCn19fZbnvSUwN37OFhatnbty5UqIiooiLi4OQ4cOhaGhIUxMTFBdXY36+nokJCTAwcEBAwYMYLGzCrvxv379GgYGBti+fTuA1pU9Xt4xfnDq1Cmoq6sTg/jUqVPo1KkTy7jOz89HaGgo34zn9LM8ffoUDg4O8Pb2RlBQEHkPt27dgpSUFAYPHsx61qysLAQEBMDY2PiHsHwKSoglqLE9Z84c9OjRAzo6OqAoCjNnziRRUxoTJkwARVGkdU1jYyMOHDgAZWVllsLNC+Hh4TAxMeH7+YHmyNycOXMwfvx4oZwIt2/fhouLC3x8fHD27Fn88ccfCAgI4Pmburo6Ypj/TGB+o927d8PW1hbh4eHEIG1qasKzZ88QGxsLS0tLODs7g6IoeHl5CXU/5rp89uwZevTogdDQUMKq3drztXaMHzx8+BChoaHo1q0bqzyGaaD269cPoaGhAt3jypUr6NGjBz5//oxZs2ZBSUmJKK2ZmZmwtrbmMrrPnj2LEydO8N36i9NgpjM0ampqkJKSAh0dHYwaNYrnmDhZ/wVBQEAAevXqhezsbAQHB0NPTw+7d+/G8ePHSYsmSUlJ+Pr6EmVQEFZt5nmxsbFQUlLC1q1biUKekpKCHj16ICIiAmlpacjKyoKHhwdMTU3bVVZA4+PHj5g8eTJkZWWxbNmyNq8hqIOprKwMKSkpUFZWRpcuXXgahXfv3kViYqJQe19r33TVqlUwMzPDlClTWHsEJ/P/z5JlwwvFxcVITEyEqKgoqXsHmrPMaE6Rn/n5AXZm2sSJEwlT85MnTxAYGAhXV1eitwDNLTkVFBQE0k2AludCUlISxMXFkZWVxXpXO3bsgK+vL3x8fEjbTWGizunp6VBSUoKkpCTs7Oywa9cuYmCtXbsWFEXB1tYWLi4uEBcXZ2Ws/Iw4evQofHx8YGZmhuTkZGLMtWR0t6UX80JKSgokJSWxevVqnDt3jpDs6ujoQEdHh/AsFBQUYP78+QgJCSFZK/y0o/yn0VKbtREjRkBERAQZGRlc5T90Vxhhdf6/m1Dzfx3/Gtz/EBobGxEdHQ03N7dWo3rMYykpKfDz8+PLi3z79m0MHz4cx48fJ8fu3bsHc3Nz2NjYkHty1rK2N6Vt8ODBcHBwaPUc5pi2bduGmTNncpEYAc0OA05Dds+ePXBxcQHQTCYnKipKWCLLy8tx8+ZNAM1pQoK0x3ry5AkkJCQwd+5cfPjwgeu3N2/ehLS0NIKDg/H69WvU1NQgPj4e8+fPF1iI/FOEWMz3fP36ddKeo6SkBNOmTYOqqirWr1/PtVktX76cNabGxkae34fzXsOHD8ekSZMANNevcvZvbgk0+RPAXQ/a2v04je4hQ4YgODgY4uLimDhxIkaPHo3IyEhMnz4dgYGBLMKbnykFjPksjx49wogRI6CoqIjRo0dzKUaPHz/GiRMnSA9VQRVe5nnR0dGYMWMGNDQ0QFEUfH19uVKE24OW3vGLFy8wYsQImJmZkZpQgG2gCloXV1BQgP79+0NSUhLi4uJcEUXa6B42bBhPtty25B5zLKtWrUJISAi0tbWxfPlyPH78GI2Njdi4cSPMzMxYqdHMdSSogsb8rY+PDyiKgoaGBpd8+PDhA9LS0jBmzJh2ye/FixdDTk4ON2/e5Ip+ZWRkwN3dHaKiorCwsICPj4/AadDMd0hHdulrfPjwAZGRkbCxscGaNWvIee0laqRRWlqKLVu2QE5OjsVuzBn1AQRzODPHlJGRgRUrVmDLli0sWbNq1SpYWFhgwoQJyM7OhpeXFywtLYUbyN+EtnSKkpISJCYmQkJCAtHR0f/QU/1Y3L59G4MGDYKdnR0rjfzZs2cIDg6Gq6srK9LNbBXJD5jrOyMjA3v27GGRR4WEhEBKSgoZGRl48+YNvn//jv79+2Pjxo1Yv349unbtyio74be0Kj8/HxYWFkhOTsbt27cxcOBAwrBOz+8TJ05gxowZmD59+k/LHE/j2rVrEBUVxcyZMzFq1CjIy8sjIiKCEK59+vQJ5ubmUFFREZrsLSUlhSujhcbBgwdhZGTE0sXoMppVq1bx3Y7ynwRTDtEt7Jjw9/eHnJwcTp061aJ8E1SP/bsJNf8/4F+D+29Aa0RfEhISrNQLJpgCNzk5GT169GAJ8JZw8OBBmJqaQl1dnbXxNzQ04NKlS9DT0yOCRliFsKWWITk5OdDS0sLu3bvbHNPmzZvRuXNnHDlyhOu8I0eOICQkhGtxJicnw9/fH5cuXYKoqCiLcO3AgQOYOXMmK7WIH8OquLgYjo6OmDp1aqtjvH//PhQUFKCkpARDQ0NISUm1yJTMC/8kIRYTaWlpGDx4MFcf7alTp0JNTQ1JSUk8PcSCCODa2lrMmjUL9vb28PHxQY8ePZCfn9/m7wQ1QpjEVvX19eT3N2/ehIuLC9TU1KCjo4N58+Zh+PDhCAsLw8SJE/+xVlrtwbRp06Cnp4dx48bB29sb3bt3x9ixY3lGI8rKymBnZyf0uNauXQspKSlcu3YNd+/exenTpyElJYV+/fr9EKObsxXOqVOn8ODBA5Ii+PjxY4SFhcHe3p4VWWIaWII6ReLj40FRFCQlJYniypzDmZmZsLOzg5eXF1fven4RGxsLeXl5rF27Ftu2bYOkpCQGDhyI79+/o7y8HBs3boS5uTkGDBgg1PU5wXz+oUOHQlJSEufPn2e9J841JIxCU1ZWBg8PD9J6LT8/H5cvX8bIkSOxceNGlJSUoLGxEXl5ecjPzxc4DZr5LdesWYMBAwbAyckJixYtImU0b9++RUREBGxtbVvcE9sDOtItKyuLKVOm8Hw2QcB871FRUVBQUEC/fv1gaGgILy8vVtbVunXrYGdnB1VVVTg4OPBdwvBPYOvWrZgwYUKbHAO00S0pKYn58+f/Q0/343D16lWYmZmhW7duXHWrz58/R0hICExNTbk6nfAD5rkzZ86ElJQUtLS0oKSkhLCwMPK3kSNHolevXlBUVISWlhZ0dHTQ1NSEu3fvQltbm6/6d6azuampCRUVFRg9ejQpeauursaYMWOI84pOi//ZIrK8kJubiyVLlmD16tXk2L59+6Cnp8dqjVtYWAhHR0eheEwuXrwIiqKQkJAA4K/3yZRlGzZsQPfu3YmezJSpVlZWiIuLE2p8fwc4ZWtISAjMzMywfft21pr29fWFvLw8srKyfogj8+8k1Pz/gn8N7h8MppA7cuQIV6/NmJgYBAQE4Nu3bzx7AALNRqaYmBjS09PbvAfQXJsZGBiIzp07cwmGb9++QVVVlRVFaM+YDh06hLKyMuJRKy4uRlBQEMaNG9fq7+gx8fIw0qAX74kTJ4jRUVBQAGlpaVAUxVJoqqur4evrizFjxgi8sTx9+hSampq4fPkyT+WLeb3Pnz9j3bp12LBhg0D9OP9JQizO6OC0adMgLS0NPT09fPnyhXXutGnToKWlhWXLlv2Q+jsVFRX06NEDixcvJsf4YbjcvXt3m46GuLg4WFtbIy4ujqej4+7du3BxcUFAQACLvbyle/5MuHjxImRlZVlOmE2bNkFfXx9jxoxhtTmhN7Fdu3bB2NhYqNq1kSNHsiKxQPM6kJCQQGBgYIvp5fyA+Y5jYmKgq6sLWVlZODk5YezYsUQxfPToEUaOHAknJycWm66wyMnJwZUrVxAUFAQZGRkSyWF6+0+cOIGxY8cKZWTdu3cPurq6uH79OgDgzp076NSpE0t5r66uxsqVKzFq1KgflkXBGemWl5fH6dOnuTJl2jO3i4uLoaysjLi4OGRmZiIkJAT29vawtLSEjo4OlixZIhDZZ0uIiYmBjIwMEhMTMW/ePFhZWcHPz48ohm/fvsXEiROhqamJ/fv3CzWW1t5DWVkZtmzZAgUFBZYh1B7QNfx0dtX69evRpUsXWFtbExZgoDmz4/79+3yXMPxTWLBgAYyMjDBnzpw2Db6SkhIkJSWBoiiejMM/A1pbD3fu3IGjoyP69u3LVYv75MkTjBw5UqCoKec9ioqK4OrqisePH+P9+/c4cOAAJCUlMWjQIHLOmTNncPDgQezZs4fMhcmTJ8Pc3FwgsrQTJ05gwIAB6Nu3L8n6o1FZWYkxY8bAwcEBy5Yt+6kcPDR+//13ov81Njbi7du3UFJSgry8PKt0AWg27vr06YPIyEhSjiGsfM3JyYGTkxMGDBjAKjHivKaRkRHJ2GtqaiJ/c3Z2bhdJ248C59yjncFxcXFYtGgRevbsiVmzZrGcywEBAaAoisgqfvGfItT8X8e/BvcPBHOSXrhwARISErCxsYGrqyvu3buHsrIyPHnyBKKioiTNkXNSJicnQ1xcvEVjm4klS5aQNN6ioiIEBwfDysoKKSkp5JyqqioYGRkhKSmp3WN6/fo1lJWVYWxsjNGjR5NeztevX0e3bt1w8eJFntdoa0xMr9jr16+hpKSE8ePHEyPgwIEDkJaWxtixY3Hz5k2cPHkS/fr1g5GREZcSyg/27NmDTp06tVpnWVlZiRs3bvB9TU78U4RYTDB7ay9fvhyampqYM2cOV6rcqFGjMGjQoHYJxNraWjx+/BgdO3aEs7MzHBwcsHPnzha/B/P/NJPwiRMnWrx+RUUFbGxsYGFhgZUrV0JcXBxz587l6sd79epVuLm5wdfXl8Xs/LPj4sWL6NWrF1e6X1JSEjp27Ijw8HCuHrCjRo2ClZWVQOQ3DQ0NaGxshL+/P4KCgshx2ihdvnw5KIqCi4tLu9rg0NdSUFDA5cuXATQrld27d8fAgQOJYvno0SP4+/sjIiLih23Iubm58Pf3h4yMDGvTX7t2LcupJKjCdvfuXZIKfODAAfTs2ZNVzkLL3urq6nbVbPMC0zjz8/ODkpISjh49+kPT81JSUiAtLQ0JCQnExMTg/PnzAJprADmdM8LgwIED6NOnD+7cuQOg2WAQERGBrq4u3NzcSM19Tk4OVq5cKVSqOj/4/v07EhMTf0jf6IqKCkyePJlE5A8fPkxKkzw9PaGvr8+TvPNnS6uka81nzpzZ5rovLi5GcnKyUL2O/27Q6442MO/evYsDBw7gzJkzpHzuypUrcHJyQkBAAJfRLUjkj7Mjydq1a+Hm5oYRI0aQqHJtbS0hHmUa3TTu37+PcePGQVpaWqBsuevXr4OiKIwfPx6WlpaQlJTEjBkzWM9fWVmJQYMGwdPTU6ga578TX758QWBgIFd5zNq1ayEmJobBgwdzzcMDBw6QkpD2OhBycnLg7e2Nfv36sUqM6PlTVlYGLS0tLFq0iPW727dvg6IogfuJ/12g5cjBgwehoaFBZOu9e/dAURSkpKRYujPQzOUjiPz5TxFq/n/Avwb3DwJTeZw+fTpGjBiB+/fv49KlS/Dz84Oenh6cnJyQmZmJgIAABAQEcCnOtCHIj7FdWloKU1NTVlQgLy8PAwcOhJaWFkJDQ7FixQoMHDgQ2traQnnXmWMaP348AgMD8e3bNyQmJiIoKAjdu3dHZGQktm3bhvHjx2P27NnE40Vj27Zt6NmzJ19jio+PR0lJCbZt2wYrKytEREQQAZ2eng51dXUoKSnB3NwcAwcOFLq1yrVr19C1a9dWn2n9+vXo27evwIL+nybEonHs2DFoaGiw0nXj4uJgbm6O2NhYLmIWYXpJ8lJWGxoa0NTUBH9/f9ja2mLXrl2tRuIEcSidPHkS5ubmKCwsxJkzZxAZGQljY2P4+fnhwIEDJLXp3r170NfXZ6Wl/Uzg9Y4vXrwIeXl54nGn51lVVRXU1NQgLy+PX3/9FUDze29qaoKbm1ubTqCWDIqDBw+iW7duXMbA5s2bMXz4cPj6+gpkjBw+fJg1rpycHDg6OpLWc6dPn0aPHj0watQo6OvrY9CgQSTS/fr16x/eyzQvLw8BAQEQFxfH1q1b4ebmBlNT03YZOtevX4eioiKSk5MhISHBKmeh69WYDhN+x9JaRwImmDLbxsYG/v7+gjw+X3j16hWXEty3b1/SVqY9OH78OKZPnw6gOb1fSkoKv//+O3bt2gVJSUn4+PhwZfYIUlu/a9cuzJ49G5MmTWJxl/ACk8m5vUb369evkZeXh+fPn0NTU5N0aUhPT0fPnj2hra3NasH4M4E59l9//ZVvo/tn4sCgsW3bNvj5+RE9YP/+/ZCUlETv3r2hra3NcvTRRndgYKBQ3+aXX34he3RTUxOqq6uxZs0aKCoqwszMjHVubW0tjh49ChkZGVYng5qaGpw/fx7+/v4s53hbePLkCbZu3UqyFCsqKhAbGws7OzvExMSw5ERVVVWbZKf/JJgykS4vunXrFknjB5rLL3r16oW4uDiujIuMjIwfxnHDNLrpjDj6+e7fvw9XV1cS+GA+t6C1/T8aM2bMQHBwMPl/bW0tMjMzSZZYZmYmxMXFsXfvXhw8eBAURWHatGmkDzcNfvbCf5JQ8/8j/jW4fzDevXsHOzs7EuWhcfbsWSQkJEBCQgIKCgqQlpYmrXkaGhpQW1uLdevWtUjXz2vDc3Z2xoQJEwD8pZwVFBRg8ODB6NixI3x8fPDbb7+R84VVPgsKCuDi4kIiIDT279+PyZMnQ0FBARRFQUlJiXhWGxsb0dDQgOnTp+Po0aNtjmnv3r2gKIqk4CcnJ8PU1BQRERHEw1ZZWYlnz56hoKCgXa1V8vLyICcnh/79+7PSyZjCZtasWYiJiRHYIPgnCbGYuHv3LsLCwmBtbc0igpk3bx7Mzc0xb948rhprQZQo5rl3797FyZMn8e7dO7IZffv2jRjdu3fvJt+F+bvNmze3WirBiY8fP8Lf3591fnZ2NiiKgomJCTQ1NbFz5068f/+eq/ftz4itW7ey0jL79+8PVVVVFiFLbm4uwsLCsGXLFvLu+P1OzPOOHz+OjRs3IiUlhayfSZMmQUNDg2QifPnyBb6+viwiM37udfLkSVAUhZUrV7KOHzhwAPn5+bh27Rp69epFmIFHjRqFDh06wNHRsV0R57bw9etXjBs3DiYmJggICOC75WFr7QqHDRsGiqKwYMECcqympoZkDAg6Bub5R44cwcGDB8m654V/qvfr9+/fkZ2dDX9/fxgaGv4w5enTp08oKyuDvb09YSQvLy+HgYEB5OTk8MsvvwAQXObNmTMHKioqGDlyJKZNmwaKopCUlNTmddrrYAT+iopu3boVtra2hNk6IyMDfn5+WLly5U9poPLCihUr+Da6fyY0NDRg3bp1MDExwYgRI/D582cMGjQIu3btwqdPn7Br1y7Y2dnBycmJGN3Z2dkwMjLCsGHDBG6RlZ+fT5yitOPw8+fP2Lx5M7p27coi5gOa58j+/fvRr18/rrkgSL/vDx8+wNLSEhISEqwynLKyMsTGxsLGxgbz5s37KY0dZutVWi/8/v07vLy8YGtri3379pFzV69eDSUlJcTFxQnUIk1QMI1u2tldX18PX19f+Pv7/3TrtqKiAkuXLoWpqSnR9YFmHbagoACfPn2CtbU12YvLy8uhrKyMDh06sHR/QfF3E2r+f8W/BvcPxPLly9G3b18MGDCACGVOQfj8+XOkpqZCS0uLi9SKn/Smt2/fkmjllClTEB4eDoA90QsKChAYGAh/f3+W8SWMIbd27Vq4uLhg0KBBqKys5BJIdXV1+PDhA2JiYqClpUUa3QsSTcjMzERCQgJ27drFOp6cnAwzMzNERkbyZNpsj3DMyMiAiIgIwsLCWNeurKxEbGwsVFVV20Um9XcSYrX0HR8+/D/2zjqqqq1r42sL2KiEgIAioHS3iCAg0oiK3mt3ByqhgN3dglhcO7EVFbtbL7ZiXcEAFQSkBJ7vD76z3r05oBzyKPs3hmPIPrv3qrnWnM/8F/3794e5uTnnu0+ZMgWqqqoVIs4WHByM5s2bQ1FREUpKSujSpQt10UpJSaEu85GRkZwyGRERgXr16v00hr84QkJCoKmpCaBw0KOkpIS+ffsiLi4O/v7+kJWV5cRXiWvcUGpqKgYNGgRDQ0MsWrQIQOF3d3BwQNOmTakol4uLC1xcXOhzsN9haZ8tKCgIGhoasLOzg5eXF2rXro379+/j5cuXmDhxImrXrg0NDQ2oqanB0NBQJLdKwT2Eh4dDUlISCxYsEOpkg4KCMHDgQDpAnTt3Ljp27Eg9YEpLSUKNv0IUkS/2O121ahX69euHIUOGICoqCvn5+Xj48CGcnZ2hpqaGjRs3YsmSJejYsSP09fVLbdAXd63AwEA0atQIOjo6kJKS+umKMvv8ZblWabh06RKcnJwqZfD0+PFjNGvWDOfPnwdQOCn9119/ITo6ukxteExMDJo3b069PWJiYsAwDKfNq0iWLl2KESNGYMiQIZy0ihs3boSWlhZOnjyJrKwseHt7Y9q0acXW3epGcE/fv38XykAxd+7c39LozszMxIYNG2BpaQkPDw/4+PjQSeX8/HwcPnwYNjY2HKP76tWrIsVsFw1h2rx5M+rVq0fP8fXrV4SHh0NWVhYTJkzg7Mtue8paFr59+4ZFixZBU1MTrq6unN/S0tIwefJkaGlpUUEwcePFixdQV1fHsGHD6KT4o0eP4OXlBWdnZ2zfvp3uu3jxYrRs2RLjx4+nwoqVgcDo9vDwwOXLl9GlSxfo6emJ3J5XNgK38LS0NKxatQrGxsZCWknPnz+Hrq4uDW969+4dRo8ejb1795arzFWmoGZNhje4KxCB26aysnKxjTp7ELRnzx6Ym5vj7du3Px0cCWI0gELBMoZh0KJFC7i5uUFbWxtKSkqIiYnBgwcPOOkB3r17B19fXzg6OpbZ0MrOzsbixYuhrKwMQ0NDur24VZecnBxMmzYNTk5OIg3gb9++DW1tbdSvX5+6u7JFjyIjI2FhYYG///67QgcD+fn5WLt2LSQlJaGjo4MBAwZgxIgR8PHxgYKCglD8rChUlSDW9u3bhfJM379/HwMGDICRkREn3GDdunXlHgCuXbsW8vLyOHv2LJKTk7F9+3aqPnzjxg0AhY21nZ2d0Gxst27dRIqxFpSrr1+/wtPTEzNmzIC8vDx69+7NKV+ixMFVJcV12q9evcKECRNgYmLCmX0eNmwYzM3NoaenB1dX15+mDfwVW7ZsgaKiIi17UVFRYBiGribk5eXh33//xcaNG7F9+3aRcqH369ePExu2Zs0aMAyDBQsWcO61V69esLW1pdu6du2K1atX099FHdCwwxR+hqjq3ez9Z8yYgQYNGmD48OGwtbWFgYEBOnfujIKCAjx79gxDhw5FixYt4OTkJHIO+aIkJCTA0tIS9+/fx5s3b7Br1y7Uq1ePCvZUJKUduObl5eHevXucjAAVxX///Qdra2v07t0bZ8+ehaurK2c1SdTysHHjRqoKL3DjFnhTpKamllmRvjjmzJkDOTk59OzZE9ra2lBVVaV16/79+3BycoKqqipatmzJmbwSp4k/wb0cPXqUhpwFBwdzNDQERndQUJDYpUAqDkGZycrKomOEpk2bcvqGvLw8HD58GHZ2djA0NBQ5x/bp06fBMAxmzZpFrxcfH081WATjkS9fviA8PBzy8vIIDAws13MVV27S0tKwZs0aaGlpCRlc3759w8yZM8Xym+Xn59NMEs7OzhgzZgx1d3/y5Anc3NyEjO5Zs2ZBT0+v0j3Wnj9/Dk9PT0hJSUFbW5uWG3ExGsPCwuDo6EjLXWpqKvXoECyyAYUx5k2bNsWMGTNw7NgxeHp6wsXFhf5eljFfVQlq1kR4g7uMlNShHj9+HHXr1sXw4cOLzfkp4OnTp1BSUvqpGENERASaNWtGXc+/fPmCa9eu4dy5c5g1axaGDBkChmGgqKiIli1bQkNDA5qamti9ezeAwpkpR0dHeHp6lqqzKS7mNikpCREREahTpw7Hbao4o1uQ5qq4Vdyi1xDw7ds3qvrKjndix04vXboUAwYMqJRKfePGDfj5+cHExATt2rXDxIkTRVIjL47KEsRiv7s3b97A3t4eDg4ONO5IwL1799CqVSvo6OgITbaUpQEWpNHo168fhg8fzvktNjYWDg4OCA4Opt+nOE+IsnagOTk5tJwHBgaWOAstrg1+0brw+vVr+Pv7w8TEhJM54NOnT/j69WuZ0y8JjpsyZQpdaYmOjkbDhg2piGJaWlqxqdtKUyays7Ph4+MjpGmwevVqanQLzrN582aYmZnBzMwMVlZW0NXVLZO4IVA4SdGiRQvq9v6z49m/CQSTSsODBw/g7e1NQ2by8vJoqsVevXrR8xadDCvL4GzOnDno3r07Bg8ezDEODh48iHr16mH06NEin7MkNmzYgAEDBgAQza2+outSQUEBVq5cCQsLCzRv3hwODg5lcvcXsG3bNnTo0AFbtmyBtLQ0IiIi6G/79u1D7969hbIzlJai1wsMDKRioGlpafD29oaioiJV/Y2Li8P+/fuxfv16sVMjZ3Po0CHUr18fkydPxtq1a9GhQwfY2NhwjJ0FCxagZcuWYuuiLEBQH9+9e4fs7Gzk5uZi48aNaN68Obp06cJpo/Ly8rBv3z64uLiUKYfzxo0bISkpiRkzZtDrvn79Gg4ODmjevDnH6F67di0NbSjPc12+fBkLFizAxIkTERsbC6Cw/V29ejUMDQ2FjG5xmtwpyr1799CkSRN06NABrq6u8Pf3p2FobKOb7V5eliwcZeHJkycYM2ZMuSZPK4v4+Hh6P4JJ069fvxZrdC9evBgKCgpo3bo1bG1tK2TSr7IFNWsqvMFdBtidclJSkpBIxf79+1G7dm2MGzeuRNGtjRs3on79+iWm5YiMjEStWrV+mof71atXsLe3R2xsLN68eYPNmzdj6dKlnIHc+/fvSxUTw36mz58/Iz09nVb45ORkrF69Gk2aNEFQUBDdr+hAfcGCBWjWrJmQQFdx1wBAXduys7Oxbt06aGlpoV+/fvR39ruraBVgNuVZ+a0qQSz2cwuMibNnz8LX1xdOTk7UpUhA165doa+vj6FDh1ZYhzxw4EB06tRJ6H2FhoZCTU2No9YsuOfyXFtw7Nu3b6GqqspR3xdX2N/pwIED0NXVFcpR//LlS/Tq1QtqampU9bqkc/yM4sptYGAgxowZg4MHD6Jhw4bUGCkoKMCmTZswbdo0qqhbWopeZ926dbhx4wb9PgKje/78+QAKy+eWLVswZswYTJgwgbYjZalnmZmZ8PLyQq9evX66H7uc/fPPPxg/fnypnjMyMhJmZmYwMjLiCHgJ3FWNjY3p5Bh7QFaWcp2fn4/FixejTp06sLS0FPpd8M2KhhqVlbVr16J27dq/TDnIfparV6+W2H6zKa27P3sSNzk5GU+ePCn1KnrRFJsCrl+/DktLS9StW5e2o0BhufP09MSQIUPK/H0EXLlyBSdOnICfnx/HU0ngOq6oqEi9etiIkxu5gKdPn8LAwIBOvmZmZqJp06bQ1taGtbU1xxNq6dKlePXqVXXd6i8RfNeDBw/CwsICW7ZsQXZ2NrKzs7F+/XrqDcceA+Xn5wu50f8K9nf8559/wDAMli1bRrcXZ3QnJyfjwIED5SoDAo8NBwcHWFtbg2EYjB8/Hh8/fkRWVhZWrVoFc3NzdO/evczXqCyKprkVvIcpU6YgICAAU6ZMgbm5OcaNG8cxur28vGBhYUE94KpjAkGcjG02+/btg4SEBJ3gYxvdgslUoNBNny1GWhHPU5mCmjUV3uAWEXanPHv2bJibm0NDQwMODg54/PgxbegFMcITJkwQWunOzc1FZGRkiSvBAlfnovGuRQ2ytLQ0yMvLC8U+A4UVrixiSwsXLoSdnR2srKzQqVMnKnL0+fNnrF69GnJycpg4cWKx5wkLC8O9e/d+eY1Fixbhr7/+QuvWrTFv3jw8ePAA+fn5CA8Ph6mpKWcGrbyD3NJQUj50UahMQSz2PnPnzsXw4cPprOfZs2fh7e0NZ2dnOhuelpaGfv36YefOnRWSs1fAokWLoKSkRPMSC9izZw9HPKgiyc/PR05ODoYPH46ePXuKLHZTlbANvNevX+O///5Dt27d4ODgwFFlBQonZRo1agQFBQWh30rDyZMnqSHo7+9PXfg3bdoEHR0dNGzYkCOyk5KSAnd3d4SGhpbl0QAUlqEfP35AXl4eBgYGuHv3rpDRXTSfqoDSGFclDVSvX7+ORo0alSi+WFQFv06dOkKhFgKK1rcHDx7AyMgIDMNwcigDhR5CDRo0EJowKS0luYeuX78ekpKSnNz1Anbt2gUnJyeRJxbZ9Zw96PLw8KCTHsXdD3vbmjVrICUlJZKCcmnc/Yu7rihq5K9fvwbDMByX+7lz56JZs2YICAjAuXPncPr0aXTs2BFGRkZl9qYQEBgYSNXGGYZBeHg4pw/Pzs6Gr68vGIYpVlukuijped++fYuJEyfiy5cvePfuHTQ0NDBy5EjcuXMH6urqMDU15QgnijtHjx5FvXr1sGTJEk7/mpWVhXXr1sHc3By9e/cucyop9nucP38+ZsyYgTp16oBhGMyZM4f+9vr1a7Rv3x4tW7YUmqQoS5148eIFWrRogfXr19Pfd+7cCTk5OeqqnpqaigULFqBdu3ZipUYuqK9fvnyh6dMEz7BhwwZYW1sjPT0dy5cvh4WFBcfofvjwIfz8/H4r/YCq4t69e+jcuTOUlZXpBJ/A6DYxMRHydgAqflGqsgQ1ayK8wS0C7EZy8uTJaNasGTZt2oSnT59CQ0MDtra2OHv2LC2QBw8eBMMwNGdnSedic+DAATAMI5S6wsfHB/369aMKl4IBi5OTExVhKgvsyhkSEgJFRUVERkZi7969aN26NUxMTKgb6ufPnxEeHg6GYTgpckQZ2AiuIRCJkpGRga+vL9LS0pCeno7w8HCYmZnRGL3fgaoSxAoKCkKzZs2wdu1aTmzm2bNn0blzZ2hqaqJHjx6ws7ODhYVFmWMkf4abmxuaN2+OEydO4O3bt0hJSYGzszO8vb0rZDW7pL+jo6PBMIxQqgtxYffu3XTCZezYsVTo7f79+/SbsA3r69evo3v37kLicr+ioKAAubm5aNmyJfT19dGrVy80adKEYyT5+fnR1GuvX7/G48eP4ebmBnNzc5E7y+K+6ffv36GrqwsTExPcuXOHY3RLSUlh8uTJIj2TwNVTcJ4zZ85wQhBSU1PRvXt3mmKqpHojSsq5JUuW4M6dOwAKB84mJiawt7fneIp8+fIFenp6NERHFNh1LjU1lTMZlZmZidWrV6NWrVpUuftX5ygtRfUzwsLCYGRkVKybYdF3JyMjIyQS9TMqy92fve+cOXMwfPhwmgmD7QE1depUODo6olatWrC1tYWXl1eZBN/Y1zt37hxsbGwQGxuLBw8eoFu3bpCRkcGRI0c4BlxWVhaCg4PFZkVbUFY+f/6MR48ecdqDvLw8Wp+GDh2Knj170on0Hj16QFVVFT4+PkhNTRVr9+SCggKkp6fD2dkZU6ZM4fwmaNeysrKwadMmqKurF2uMiIJAN+TQoUPYsWMHJk2ahFq1anFyNb9+/Rr6+vro3Llzqc/LVu++desWbYcePHgADQ0N3L9/n/Mdtm/fjlq1alFx0vT0dLHLsw0UxkVrampCX18fhw4d4mjVODo60pXRWbNmwdraGgEBAXRsKYruz59KSe19XFwc/Pz8oKCgwDG6V65ciWbNmpU4yV0S4iSoWdPgDe5SUFSE5eLFizAxMcHZs2cBFIprSEtLo0WLFlBTU8O5c+dowbxw4UKpB7nZ2dkYPnw4NDU1sWLFCrq9a9eu0NXVLVYYw9fXl7pbilKRis4mnjhxAsbGxjQ/4eHDh9GoUSMoKytDXV2dNoxJSUmIjo4uU4W7c+cOtLW16QrprVu3ICkpic2bN9N9srKysHDhQvTr109s43KrQxBr3759UFRU5MR+s2Ny37x5g4ULF8Ld3R3Dhw+vcMVN9vfu1KkTVSo3MTGBsbFxueKG2PdY0qx9QUEBFUYSR5YsWQKGYWBvbw8ZGRnOgPf+/fvo2bMnbGxsMHfuXDx58gQeHh4YO3asyIrG7PcrJyeH2rVrU5dQ9m9ubm4wMDBA7dq1YWNjA3t7e5E7S/Z3SUhIQEZGBj02IyODTsixje4FCxbAzs6u1OVg/vz5YBiGalnExcWBYRg4Ojpi2LBhNJ4vOjoa9evXLzEOUxRj+7///oOamhrHU+PFixcwNDSEiYkJJk2ahC1btsDHxwc6Ojoit3VFcx23bdsWZmZm6Ny5M/WCyMnJwapVqyAhIUFd8UWlqFfAtm3boKenh5MnT9L3lJOTQ+Nyix4rYO3atSKl6xNQ2e7+s2bNgoyMDE6cOIHY2FgsWrQIDRo04FwvJSUFDx8+RHJycrnVcqOiojBq1Cg6sSOga9eukJWVxZEjR4o1DKp78Ckobw8ePIClpSVatmwJNTU1DBkyRGhfBwcHmkkEKDTAly1bVqowAnEgIyMDWlpaNPa8aP+WkZGBnJwcbNmypVyu8ZmZmWjXrp2QMcPWrGCnYhW1TX306BHatm0LNzc3dOnSBXl5ebh16xakpKSo+zDbq8LAwACLFy8u8/NUNvn5+QgNDUWDBg2gpKQEU1NTdOvWDSNGjEBaWho2btyIAQMG0Emr2bNnQ0tLCyEhIcjLyxPriZ6qgP3827Ztw5o1azieqwIvALbR/fnzZ+zZs6fM7Y84CGrWNHiD+xfMnj0bpqamVDgFKDQUBbGXsbGxkJeXx8aNG1FQUAB1dXW0adMGMTExnIpQ2kL6/v17+Pv7w8bGBsuXL4efnx8nvrBoLPO1a9dErnBDhw5F586dORMJsbGxdOb2+PHjkJeXx5o1a/Dvv/9CVlYW5ubmQvHmola827dvw8LCAkDhimDDhg3pe0xPT6erS+xYYHE1uoHKFcQq2gGFh4fDzc0NQKFRMn/+fLRq1QqtWrXC+PHjaYwa+zhRvo+oru2nT5/Gzp07OQ1+WRriosbJkCFDaEq98txrVcE2HOzt7VGrVi2OIS3gwYMHCAwMROPGjaGhoQErKyuRJykEz52Xl4dPnz6hVatWaNGiBczNzXHr1i2h88TFxeHgwYP4999/y9VZhoWFwcTEBOrq6li5ciVduRAY3WZmZhz3clHCGG7fvo3OnTtDVVWVKs4/fvwYq1evhpmZGdTV1TF8+HBcuHABXl5enJhwAVFRUahTp06JKeeKKy+6urrUPVRwvvj4eJiZmYFhGHTr1g0hISF0/7IMakJDQ9GsWTOsWrUKMTExaNq0KVxcXGhcXG5uLlV6Ly4s6FewB+SxsbHYsGED+vXrBw0NDdjb22PRokVITk7GrFmzShQSi4iIgIyMzE+N7apy92eTmZkJd3d3jtt9dnY29u3bh7p163KMyaK6EWXFz88PDMPAwcFBKHRFMNjdu3evWA04Bc97//59NGjQgLrYjxo1CrVr16b9a15eHr5//44+ffrAy8sLkZGRCA4ORrNmzSo1BVNFk52djRYtWnDiSAVl8/Hjx9i0aVO5V0sLCgrw7ds3tGzZkhrcglCN3NxcdOrUCRISEpg8eTLnuNJmRXj48CGaNGmC0NBQvH37llNmu3XrBj09PY7uQk5ODszNzcVew0QwdvX19cXAgQMRGxsLCwsL+Pj4wNnZGQzDYNOmTXT/RYsWiaW6enUSFhaGhg0bwsbGBpKSkujbty/1an306BG6desGZWVl6u0gQNT+SVwENWsavMH9Cw4fPgwvLy907NiRKvUBhfF9ubm58PDwwKRJkwAUDhKcnJzAMAy6dOlS5mt++PABo0ePhrq6OmRlZWmHyO5I3NzcMHXqVPq3KBUuOjoaampqGDRoEGclLiEhAdnZ2XBycqKdybdv32BjYwOGYURymyqOq1evQllZGWvXrkWTJk04bulnzpyBr68vJyZO3GY9q0oQi72PYEZ4165dYBgGQ4YMgZqaGnr06IHVq1dj1qxZUFFRwYsXLzjnEOXdsfctep6ilFTOyrvKM2PGDDRu3FhIcV2cOXnyJBYuXEi9QkaNGoWgoCAa6ydwIxa834yMDLx69QqXL18W2QBml4nDhw9z1Ma1tbVhYmKC27dv/7R8laWz3LVrF1RVVbFjxw4MGzYMenp6GD58OF2RzsjIgI6ODlRUVDh560Upf48fP0bv3r2hrKxMJ7EE9xoeHo5BgwZBQkICDRs2hLGxMXVJzsvLQ3p6OkaPHi0UglMcnz9/pvXJ19eXttvssvvq1SsYGxujW7duNG+0qM8DFJYNQ0NDKpwYExMDaWlpNG3alDOBmpOTg3379olsxJ06dQoGBgYAgPHjx8PCwoIa1BcvXsTixYshLy+PTp06wczMDPXr1+ekgSooKMC1a9fAMMxP0/VVh7s/UGhY6enpCa3SZmVloX///mAYhpMxoTwDQfZ9jh07Fs2aNUN4eLjQxJ+joyPc3d3LfJ3K4sWLF6hbty7HAHz16hVq167NWc0GCsulm5sbdf0tT/rLyoStRZCZmYm8vDxqeMyaNQs6OjrYuHEj55gJEybAwcFBZC2RkspOQEAAdHR0aJskKCfjx4+HjY2NSJ48Ar58+QI7OzuMHTu22Hu4fPkyTfl65swZXLhwAWFhYZCXl/+l+KE4kJiYiFGjRsHW1pYKdh47dgwBAQG/bGtqIuwsI4IsCDdv3kRqaiouXLgAGRkZ+Pn50T7v0aNHcHJygpeXFz2uLFSmoCZPyfAGdyk4deoUzW93+vRpuv3z588wMjKiCeJ//PiBgQMHCs1aloWPHz9i7NixMDc358Ro5+XlwcPDA1paWmWayRVUoOPHj6N58+YYOHAgJzXZmzdvoKamRp/z69ev+Pvvv3Hr1q0yibAVHUj26NEDDMNg2rRpdFt2dja8vLzQpUsXsZ1BqypBLPbzz58/H8OHD6cDiMjISPz111/YuHEjDQlISEiAqalpiWJ1olxv1KhR0NDQwOfPn0U6rry8fPkSqqqqOH78eIWds7LZtGkTVFRUMGLECOoCKGDZsmXU6GYP2ovGn5f2HbI7veDgYLRu3RozZ86khk9mZiZ0dHRgbm6Oq1evIjMzE97e3pyMAqWl6D3t2LGDEyIhUPUeNmwYnaxLT0/HX3/9JdKkC/s6O3bswOTJk8EwDNTU1IoV7bp48SICAwMhLy+PGTNmcH4TDMSLIkinCBSugktJScHY2Bi9evWCmZkZzM3Ncfv2bTqIELznp0+fwtDQEB4eHmWeAIqNjaVeLidOnICcnBzWrl2LV69eQU5ODi4uLpwYR0C0yZdz587B1NQULVq0QJMmTYpdKXr//j0iIiLoym2HDh2EVrl/JpBWVe7+RbUmBOVo0aJFMDMzo2KQAhYsWEBjq9mTzuWBXXYHDBgALS0trFu3jsY6F71XcSE/Px8hISFUK0TA3LlzwTAMfHx8sGzZMmzevJn2Ybm5ufj48WOZU6dVFoJ3yx7XHD9+HD169IClpSVGjhyJc+fO4du3bxgwYAB0dHQwevRoLFu2DAMHDkSjRo2ol4yo1wSAu3fv4vLly9Rz5ObNm3BxcYG3tzdtSwRt69GjR+lxohg9jx49gqamJi5cuFBiWbp58yZ69eqFOnXqoFWrVmI9MVIc79+/x+jRo2Fubs4pk7/DhEFVUlQY8u7duxgxYgRnQvPatWuQkZFBt27dqNH9+vVrkdqh6hLU5BGGN7h/ArvAsY1uQew2AFhZWcHU1BSLFy9G+/btYWRkJDRwKCuClW4rKytqdPv4+EBbW5t2SuURQTp27Bg1utnu5WZmZrC0tER0dDTat28POzu7Uj8T+/yrVq1Cv379MGTIEERFRSE/Px8PHz6Es7Mz1NTUsHHjRixZsgQdO3aEvr5+hccdVxRVJYjFJigoCCoqKlixYgVnICsYDAhm/N3c3ODo6Fjud/bp0yf07t0bFy5c+OW+7G/8+vXrMqvBsimNkS8u7Ny5E/Xr18fu3btLdH9fsmQJatWqhenTp+Pu3bvw9vaGjY0NgLLPSi9evBhycnK4ceMG7XwF9T8zMxOGhobQ0NCArq4upz6VFvZ9bdy4EVOmTMFff/3FUTsHQJWAR4wYITSJIGp5DwgIgJqaGhYsWIARI0bAwMAAysrK1Mhjx/dlZGRgxowZ8PLyKjbXO5uIiAiYmprSuvPo0SMcOXIE27dvx7Bhw+Dj4wOGYSAvLw8tLS2YmprCwcGBejG9ePECqqqq8PPzK9GgF1DSfbx9+xaZmZlo3749FXn6+vUrzM3NwTCMyOm/bG1tOa7bgwYNAsMw0NfXp9tKitNfvXo1NDU1qZFfmn6jKtz9d+7ciQEDBuDZs2dCbtzXr19Hx44d0bVrV5w4cQJA4Yq6j48P1qxZg2nTpsHc3JyqHZcX9jvr378/tLW1sWHDBqE6Lm79U2JiIvz9/WFtbY3w8HAsWLAAMjIymDx5Mvbt24fOnTvDwsICKioqcHJyKpU3SFUjeKcPHz6kE2oHDx5E3bp1MXv2bERERKB79+6oVasWPnz4gJcvX2L16tUwMDCAlZUVvL29y2UMBAYGQlVVFfXq1ePUs6NHj6Jjx45o3LgxOnToAF1dXY5Ss6ht+fbt2yEpKVlsyJyg/H3//h1PnjxBcnIy3r59K3YTI6WBPXZlK7tXt96BOBIUFAQNDQ2oqqpCXl6eeswJuH79OuTl5eHk5MRZ+BG1HapKQU2e4uEN7mIoqSDHxMRQo1uw8pGcnIw2bdqgbdu2HJXUiuqUP3z4gDFjxsDW1hYKCgqclW1RjO2SOoYjR44IrXRfuXIFVlZWMDAwQMeOHUv9TOxrzJgxAw0aNMDw4cNha2sLAwMDdO7cGQUFBXj27BmGDh2KFi1awMnJCUOGDKHPIk7xcQKqShBLwO7du6GoqMgxZjIzM/H582dqcC9duhSOjo4wMzMrd5lbt24dVFRUYGdn98vBK/sbr1ixAjo6Oj9NT1LSPYlbuEBpSUpKQvv27bF69WrO9vT0dNy4cYPTWS5btgyysrLQ09ODubl5uWILv3//Dl9fX7raXJwCfVZWFtasWYOIiAiR61PRbAXS0tKwtbVF3bp1oa+vL+RBsWHDBqiqqmLhwoUAyvY9nz17Bg0NDc5q0dWrV+Hp6QkVFRU8fvyYPoPg/KdPn4aSktJP404jIyPBMAz2799f4j7nzp1D27ZtcfXqVVy7dg0zZ85ESEgI5xvFx8f/clWG/d7+/fdfPHjwgLMalZCQgFatWlHvjfT0dPTr1w9PnjwRqV0QfFt23PahQ4cQFRUFa2trmJubU4O1pAkwc3Nz+Pv7l/qaQOW6+3/79g2amppo2rQpDA0NMWjQIPzzzz+cfU6cOAEvLy+oqKjAyMiIGjxAYRnU0dGp0HSE7G8yaNAgNG7cWCwN1KIIDBxtbW1ISkpywt8EbcCqVaswYMAAsUplBnDj0BmGwdy5c/H9+3d06NCBrpAmJSVBWVkZI0eOFDr+x48fQqlXS3tNoNCoNjAwwKlTp3D37l24uLjA0tISO3bsAFA4obFhwwaMHz8eM2fOpO+zLMbjlStXULdu3Z+GVqxcuRIuLi4iP5O4ISiTbdu2rTBPlD8Bdtnbt28ftLS0EBUVhaioKMjLy8PV1VUotO/ChQtwc3MTySuuOgU1eYqHN7iLwC7Qjx8/xt27dzkrjMePH6dGN9vVjZ1So6KNxg8fPqBv374cWf6yCmK9e/eOukcJth8+fBjNmzfHgAEDOG6Ob9++LdMzPXjwAN7e3rTTz8vLw549e2BiYoJevXrRcwpcEgWIm7FdlYJYbBYuXEjTov37779YvHgxtLW10bJlS8yZMwfJycnYtm0bxo0bV+6Jivz8fERHR8PS0hLy8vJ08Frc+Yqb9RQMSoqD3eCfPXsWZ8+epTGtvytJSUnQ09PDgQMH6Lbw8HDqtquiogJbW1v6ru7du4erV6+WS1gO+J/beNF0OEBhOS3qngyUfkDI3u/Ro0cYPXo0bt68CaAwx3r79u3h6+sr5K556NChMqdfAgrfTZ06dYTKxOnTpyErKwtNTU0hQ3/ZsmVQUlKiuV6LsnbtWkhKSgoZ28+fP+f8nZCQgPr163NChAT8+PGjVAMb9vOEhYXB0NAQrVu3hoqKCiZOnIjc3Fzk5+dDW1sbzs7O2LFjBxwdHWFtbV0uL6hZs2ZxFPtPnz4Nc3NzmJubc9qsffv2ITU1lV7D29sbkyZN+mWbVBXu/kDhs4eEhGDt2rW4c+cOFi1ahCZNmqBnz56YPXs2bUM/ffqEkydPYuLEiVi9ejXdPmLECHh6elLByIqC/U3mzJnz26zKCcLQjIyMOIrW7AkYcetj2ard9erVo6Fmnz9/hqamJu7cuYPExESoqKhw4vn37dtXbJsnKgcOHEBQUBBnFTY9PZ16BWzbtq3YCayyvseEhAQoKCjAx8eHM65k18mAgIBS1dPfgQ8fPqB///7o0KHDb+XFVhkU9ZQ5fvw4AgMDsXLlSrrt2bNnkJGRgYeHR4l6OqXpm6pKUJNHNHiDmwW7IAvcLaSlpeHm5sYZSAiMbldXV87qDFB5K3dfv34tk9Iw+5mmTp0KExMTNGzYEO7u7pzO5PDhw1RITZAXsrhz/ApBjCdbGAgoHHht2LABxsbGdAWI/Rzi1rlUpSBWUXbs2AGGYTBmzBi0atWKuvWGhIRATk5OSC2+rLGzArKzsxETE4MWLVqgbdu2dHtJ36c0s57s/f/66y8YGBhAX18fTZs2xejRo3+Zi1dcSUpKgqqqKgYPHowzZ86ga9euMDQ0xIgRI3Dq1Cns3bsXGhoaQoYHULZ0XAK+ffsGV1dX/PXXX/j27Rvn/cbFxaFv374iK74WVb3dt28fVFVVYWpqyhFH2bVrF5ycnODr68vRexBQVoMkIyMD7dq1Q2hoKMedOC8vD/b29mjatCkVh8nPz8f3798RGBhYYpymQFiw6Iqkt7c3AgMDOZ4gmZmZ0NPTw86dO8t072zmzZsHWVlZXL58GWlpaRg/fjwnZ/zdu3ehp6cHExMTdOjQQWSPFPb7/e+//6gBLFgN/vHjB86ePQsLCwsYGBjg2rVr6NChA9q3b0+vcfPmTU48dmmoLHd/NsePH4e0tDQ9Z1ZWFqZMmQKGYWBiYoIFCxYI3fPz588REBCAxo0bl8qNuKR7+dk9Fm27f5c8wYJVRWtra066OXEztAFuOjN5eXno6urS3z5//gwvLy+sX78eLVu2xJAhQ2g9ePfuHQYOHFiiMn5pEaQYYxgGffv25fwmMLrbtGmDNWvWVOj7i46ORp06ddCnTx+Ot8H3798REhICNTU1jgDl787Hjx9rvNhW//79qYhufn4+Pn36BEVFRTrOY/P8+XPIyspytANEoaoENXlEhze4i2HmzJlQUFBAbGws3r59i169ekFGRgYTJkyg+8TExMDGxkZkF73yUla34WnTpkFRURH79u3Du3fvYGNjAxMTE6xYsYLOhh05cgS1a9fG3Llzy3w/Dx48gJGRERiGQVRUFOe3xMRENGjQQEjZW9yoKkGs2NhY3L9/n4pksN2EV61aBRcXF0RGRtJ8om/evIGFhQV1tRUV9j2dOnUKW7Zswf79+6l77smTJ6GlpQVnZ2e6X9GBxrp160RyMRo2bBi0tLToJEHv3r3RoEGD31pA5fTp09SbwdjYGGfOnKGz91+/foWJiQlHFFAU2N/o6dOnePDgAXXzP3v2LCQkJBASEkIHMCkpKfDy8oKnp6dIbcPu3bthZ2eHvLw8etyBAwfg6emJBg0aCK0s7969Gy4uLrCzs/ulkv3PmD9/PsctNDAwEKampti4cSOd/EtJSUHnzp1x7NgxjoorULJx//37d7i4uEBbW5szEPfz84OOjk6xkxG2tracNr0s/PjxA926daNt2v79+9GkSROq0Mv2SEpMTCyXF1RoaCgmTJiAd+/eYfr06Zw29sePH7h69Srs7e2hpqaG9u3bCxmJogx6K8vdvzhGjhzJKRN6enrw9fVFYGAgOnbsCIZhqCJ1Tk4O5s6dC0dHx1IJZLHrxNWrV3Hx4sVivRqKwp7Q+l1WuAX8Dq68bDfy+vXro3379lBWVuaodw8fPpxmR2F/j0mTJkFPT09o4rksJCUlwdHREfr6+jh69CinvGRkZMDe3h5Dhgyp0AWB/Px86omjo6ODAQMGYMSIEfDx8YGCgsJvJZDGUzqWLVtG22PBYsPjx49hamoKS0tLTkYMoNDoZhgGgYGBIl2nqgQ1ecoGb3AX4c6dOzA3N6fCaKdPn0b9+vXRuXNnqKurY+LEiXTfa9euiZ2ASnHcuHEDpqamdKBx4cIF1K9fHxYWFtDR0UF4eDg1ui9fvlymAcaSJUvoyvjr169hYmICe3t7mlsbKHQh19PTw+7duyvgqSqHqhLEunXrFhVOsrGxwbFjx4RioQXfJD8/H9nZ2XBzc4Ozs3O5y1xwcDBUVVXh6OgIHR0d2NnZ4ejRoygoKMCxY8egq6sLFxcXoeMEK+8/i41lk5WVBU9PT1ru5s2bB3l5eSqAlJKSUq7nqE6SkpLoRAibr1+/ol27dhyX39LCLjuTJ0+Gjo4OWrduDXl5ecyaNQvfvn3Dvn37UKdOHbRt2xbW1tawsbGBoaGhyKum3759o/uyRSBPnz4NJycnmJiYCA38oqKiMHbs2HKVv6ioKDAMw1FQ7927N4yNjeHj44PZs2ejbdu2aNOmDW2HSnu9Fy9ewNvbGx06dMChQ4fg5+cHIyMj+p2K5geviJzKaWlpUFZWxvHjx3Hu3Dk0bNiQGts5OTkICwsTGkyVRZ3+zJkz0NDQoBN7379/pyvBAqNbELf38OFDjpdN0UmLX10LqBx3/5LYsGED2rZti69fv8LU1BRt27albW9CQgJ27drF+U5ZWVlC4Ui/YtKkSdDR0YGOjg5atmwJHx+fEs/BfhdLliyBvb39b9HPs/kdXHlv3boFKSkpTJ8+HXl5eYiMjIS8vDxGjRpF9+natSvk5eUxd+5cLFy4EEOHDoW0tHS51MiLlvUPHz7AysoK9vb2iImJ4fyelZVVqvpTFm7cuAE/Pz+YmJigXbt2mDhxolDoC8/vTdF2Y/369QgICKCTnw8ePICuri68vb2Fcmu/e/eu1P1TVQtq8pSNGm9wF21ECwoKsHz5cqSkpODs2bNQVFTEhg0bkJWVBScnJ9SvXx8DBw7kHCNunXHRZ0pMTMTGjRuRm5uLM2fOQF5enq4Y6OjowNDQELNnz+bEKolidP/3339QU1PD1atX6bYXL17A0NAQJiYmmDRpErZs2QIfHx/o6OiI7YpBVQpivXz5ErKysli4cCEiIyOhq6uLTp06Ydq0acjMzKTnS09Px/r162Fvbw9TU9NyC6RFRUVBWVkZ165dA1A4oKxbty51w/3x4wdiYmIgIyMjlCs0KSmJGsvFUfSePn/+DHl5eZw/fx7h4eGQkZGhxwsElX73mG42SUlJ8PT0hLW1dbnK+Pz586GgoEA1EHr27AlZWVlqAN+5cwfLly9HQEAAVq1aVa44/hs3boBhGM5E4okTJ+Dt7Q0LC4sS082Jmk+eza5du1C7dm2MHz+ebgsPD8fff/+Ndu3aoWfPniKXc8F+L168gLu7O1RUVKCiooJ3794B4L6bv//+m+NOXx5Xf6Aw/6+npyfq16+PDRs20O0fPnyAm5sbZ1tZCA8PR1hYGIKDgwFww1imTJmCWrVqYfPmzaW+39JQ0e7+v8LS0hIMw8DBwaFEQ7ik9DW/YunSpZCTk6O6BIsWLQLDMJz2vOhkDFAYOiMrKytyakdxQdxdeS9cuMDpY1JTU4s1ukeNGgVHR0eYmpqiT58+nIwqpYFdD1atWoUhQ4agQ4cOOHr0KPXGeP/+PaysrODg4ICTJ08KlbPKGuOJ61iIp2Io2q4MHz4cRkZGmD59Op2YjIuLo0Z3UYVy4Nf9enUJavKITo02uNmN6IMHD2jnJNg+aNAg+Pv708HfmDFj0K5dOwwdOlTsjGwB7PsSuO0WFBQgNTUV+fn56NatGyZOnEgb+s6dO0NNTQ1jxowp9WCmuGfX1dWlwiOCBiI+Ph5mZmZgGAbdunVDSEgI3V8cO5qqEsQSvL+lS5di6NChAApjLE+cOAFVVVVYWFhg1KhRSEhIwMePH7Fv3z6MGTOmQpTcx48fT9039+3bh0aNGtEVuYyMDHz48AH5+fmc5wJ+/b3Yvz99+pQKGY0cORJt27ZFo0aNcO7cObrPkydPYGdn90cIciQnJ2PevHnw9PSEpaVliTPJv6KgoIDmpBeskB88eBCNGzem8V8lKdeW1WhMSUnBkiVLIC8vj9DQULo9JiYGPj4+sLa2poZKWbl165bQtp07d6J27doICAjgbGfH9otazgXP9urVK3h5eaFt27acGLS8vDy4u7ujVatWIk+Qsd9bYmIix501OjoaSkpK8PDwQGJiIoDCtsTDw4O67ZeH9u3bg2EYuLq6Cn3/jIwMTJs2DQzDICYmplzXqSx3/58hOHbr1q0wMDCgK/gVuZo4cOBA2sZFR0ejcePGWLt2LQCuqBv7/gU6FSWlM+OpWATf+9u3b9ToHj16NP09JSUFWVlZ5UpBOXHiRDRt2hShoaHo1asXtLW1MXHiROoB8/79e7Rp0wZ6enpCoWSVRUmpmHh+f4obiwOF3jZmZmaYOnUqx+g2MDBAmzZtRNLZKEplC2rylI8aa3AXFUizs7PDsWPHOB2wg4MDevToAaDQHaNbt26IiooqNoeiOMC+n2nTpsHW1hbXrl3jDIjs7e2F3DlPnjxZJrepz58/0w7Q19cXkyZNotcR8OrVKxgbG6Nbt24c10pxrNhVIYjF5ujRo9DR0eHEZOvo6MDGxgaOjo5o0qQJ/Pz8cOXKlXJdh33csGHDEB4ejitXrnDcX/Py8rB+/XqsX7++2ONKc26gsDz17NmTrs7u3LkTysrK8PPzo6qsT548gaGhIa1bvzv37t2Dl5cX/P39yzUpkpeXh7S0NGhra+Phw4e4dOkSGjZsSI2DrKwszJ8/v8xpfdjtw86dO3Hx4kXk5+cjNTUVy5YtQ5MmTThG94kTJ2Bra4tBgwaJ/BwCBCvoy5cvF9pv3bp1NA1QUcraPgieMT4+Hu7u7nB0dKRGt7e3N7S1tcs8IQIU9hWamppQUFCAlZUVnTCKjIxEq1atYGRkBAcHB1hbW3NS9pX2WuznZn+v3r1703zWRScLBF4w5XUFrEx3/1+RkJCAZs2aYd68eeU6T9Fyk5ubCwMDA0RGRgq5/Ofl5WHatGlC+WUjIyP5VDjVCNvoLuplVVa2bNkCdXV1GvZ26dIlMAwDLS0tTJgwgfZNCQkJGDx4sFguCPD8PrDbxVmzZsHW1pbjMh4cHCxkdN+5cwc9e/YUqU2tLkFNnrJRYw1uAWFhYVBUVMSRI0eEYkrnzp0LQ0NDdOnSBe3atYOhoSEt4OJoMAqYNGkSlJSUsHfvXk5ccFZWFnr27Ik2bdpg5MiRaN++PQwMDIrN6VscbMXEqKgoSElJwdjYGL169YKZmRnMzc1x+/Zt6ikgeEdPnz6FoaEhPDw8aP5ycaUyBbGKo0uXLujXrx+ysrJgbGyM9u3b0wZ4yZIlGDFiRJlWSkv6litWrADDMJCUlMSuXbvo9m/fvsHZ2RmTJ08u87N0794denp6uHbtGif+ffXq1dDX14e6ujpMTEygp6eHzp07c+73dyclJUXklT52B7dy5UrqjtunTx+qHsoWHvz48SPatWtHw0FEgf2OJ06ciGbNmmHjxo3UfffLly9Yvnw5GjduzPFEuXHjhkgDALY78M2bN5GcnIz58+dDSkqKk/4EKEwFJCcnB4ZhhMI4fsav7odtdHt4eMDFxQWtW7eGlpaWyGkV2dcS5EndsmULTp48iU6dOsHAwIA+1/nz57F69WoEBwcjKiqqXLnQBd4ObLy8vKCgoICYmJgSz1mWa7GpDHf/0rJy5UrIyclVyITSixcv8PXrVwCFqb0cHR1Rr149TihBcnIyPDw8aK5n4H+TDvzKdvXy7ds3rF+/HgzD0Il8USjap2zZsgULFy4EUCgO2aRJE2zYsAEzZsxA/fr1ERgYKKQMzhvdPOUlODgYioqK2L9/v5Dmy8SJE2Fqaorp06cL6feI2rZWpaAmT9mp0Qb33bt3oampSVde09LS8Pz5c2zbtg337t1DVlYW5s2bB19fXwwcOLBcKyNVxc2bN6GmpkafKSsrC4mJiTh69Cg+ffqE1NRU9OvXD56enujevXupB08REREwNTWlM8GPHj3CkSNHsH37dgwbNgw+Pj5gGAby8vLQ0tKCqakpHBwc6ErnixcvoKqqCj8/v5/mZhUHKkMQqyiC933ixAl06NABSkpKcHBwoIrUJe0vKpcuXcKpU6dw9+5dOggZPHgw6tevj5s3b+LTp094+fIlXF1dYWFhUeZVsjNnzkBbW5uzWs+uJ7dv38bOnTuxZs0aHD9+vNzPJa6UdvLg33//pZM3/v7+YBiGvruDBw/C2NgYdnZ2dP/U1FS4u7ujXbt25Wp/FixYAAUFBdy6davY1EfLli2DnJwcx7UYKN13Onv2LNzd3ZGYmAh/f3+0aNECKSkpyM7OxsKFC8EwDMfoTkxMxJgxYxAbG1smQ/HBgwdU4b+k/eLj49GmTRvY2dmJbGyzOXz4MCIjI4U8QEaPHo3WrVuX6HZfFlf/pUuX4q+//oKpqSk2bdqEt2/f0t88PDygqKiIEydOVEiqqqpy9y8N8fHx6Nu3b5naBPYxkydPhpubGw4ePAgAOHfuHHR0dNCuXTuqSfDu3Tt4eHjAxsaGExK0a9cuobRyPNVDamoq/vnnH5FTZLFF+9avX4/s7GwkJyfj06dPeP/+PczNzbFkyRIAhROlzZo1g7KyMm2b/oQJYJ7q5+LFi9DQ0KB6Obm5uUhOTkZMTAxtr0JCQqCqqkp1Pkpb9qpSUJOn4qjRBndcXByMjIxw5swZXL9+HaNHj4aOjg40NDSgpqZWrKCTuCv4CSrfp0+fcP36dQQGBkJbWxuNGzdG+/btER8fLyQ+86tnioyM/KU69blz59C2bVtcvXoV165dw8yZMxESEsIZFMbHx/+26aAqShCrKGlpabC2toaKigrnvGVpAKdMmcJZwfH390ezZs3QpEkTqjyem5uLxMREdO3aFbVr14aamhpVBi7PhNKBAwfQokWLYhWK09PTi827/acZ26KQnp6OqVOnQlFREQ0bNqSujkBhx7xgwQIYGxtDQ0MDbm5usLKygomJSbm+UU5ODjp37ky1Ft6+fYtjx47B29sbwcHB+Pfff5Gfn4/Zs2fD1dVV5DK4Y8cOODo6QktLC7KysoiPj6e/ZWVlYeHChahVqxbGjRuHHTt2wMPDA+7u7qVOlVU0DKht27Y4evRoiRN4gv0FugSluUZxvH79GlJSUmAYBrNmzRI6j6mpKXr37i3yeQHheh4SEgJFRUVMnjwZM2fORMOGDREQEMARivL29gbDMGWKM61Od//SUJ54cKCwDZSXl8eRI0c4aW4OHDgAAwMD6OjoQFdXF5aWlsXqLdTkNkkcEbWsnT59GsrKynj06BH8/f1Rr149ukgAFE78ampqUiPo4cOHNEeyOC+k8Px+HDhwAKqqqgAKbY3Q0FC0atUKkpKSaN++Pe1D1qxZU+ayVx2Cmjxlp0Yb3ImJiTAyMoK1tTWkpKQwcuRIHDx4EM+ePYOZmRk2bdrE2f93mAVKS0uDjIwMTExM0LBhQwwbNgz79u3D/fv30bRpU6G4tF89kyBfZFFju2j6ioSEBNSvX7/YHKfsmbTfjYoSxCoO9iq3jo5OsQqVpSUpKQlt2rSBo6Mjdu7cidjYWOjp6eHKlSt4+vQp9u/fDwMDA5iZmdF7P3XqFA4dOoTz58+LZJAUV2YOHDgAKSmpYlNLHDx4EIcPH+YHNP+P4F3v2LEDcnJy0NfXx7Rp0ziTU7m5ubh58yYmT56MSZMmITw8vNyieRkZGWjTpg369euHjRs3wtvbG87OznBxcUHbtm3Rv39/AFz3+NK0eezvOmzYMDAMA0dHR6HJtby8PGzfvh1KSkowMjKCvb09fWZR2lZBGNDRo0eLTS1XkhBRWdugHz9+4NSpU2jdujXat29PdSsE5xs5ciS6d+9epnMD/3t/e/bsgYaGBl11vnPnDhiGgaysLIYMGcLxHgkKChK5PlWFu3918vTpU+jp6eHYsWN0Gzu8Ji4uDgcPHsT8+fNx8OBBkcUuecQbwXdu06YNmjZtCmlpaZrZQfDbxYsXoaWlhcWLF+PatWvw8vLC33//Tc/B91E8FcXbt2+hrq4OPT09KCgoYPDgwdi2bRtevnxZ7AJWWcpeVQlq8lQMNdbgFgzEXr9+jb179+LcuXOcAm9paSlkcIs7gvtPTEzEokWLEBMTQ9MB5Ofnw9raWkgg5mfs2rULDMMIudh5e3sjMDCQ446emZkJPT097Ny5s4KeRjyoKEGsnxEfHw9LS0tMnz69TMcLyvKbN2/g4+MDLy8vDB8+nOMWXFBQgLt370JPTw+DBw8u9jylMUjYdUSgRA4UGohOTk6wsLDgrCi8f/8eRkZGxa6i1TSKvt8XL17gyZMnmDJlCiwtLRESEvLLslXeAeHhw4fRunVrNGvWDNOnT6eTPBMnTkSXLl04+5bGCGY/0+7duzFt2jRs2LABHTt2hI+PD41TZ+/35csXfPz4sdQr2+z7iIuLg7q6OlW8//btG549e4atW7dWSIq5ot+I/fepU6cgKyuLzp07U9XkHz9+wNLSssQ6VRLjx49H165d6d85OTk4fPgwVq1aBaDwOzVu3Bg7duzAnj17wDAM/P39qduggNKWh6pw969u4uLioKioWGwqu5ycHI6uhADewPozOHnyJGbPno13795h1qxZYBgGLVq0wL1794TK76hRo6ChoQFVVVXY2NiUadKPh+dX5OXl4d69e5g6dSoOHTpEJ4fT09PRpk0bnD17VqTzVaegJk/FUGMNbkB4cJWZmYnExES4ublxVgJ/J4o+U1ZWFpKTk+Hu7g5zc/NSP9P379/h4uICbW1tHDp0iG738/ODjo4OXr9+LXSMra0tJkyYUK77F0fKIoglKuPGjYO9vX2Zjxd899evX8PLywuNGjVChw4dhPabMmUK2rRpU6yL969gN/jjxo2Dg4MD+vTpQ2Oyz507B0dHR6ioqGDRokWYMmUK9PX14e3tXcan+nNg18tnz57h7du3NEd0amoqQkNDYWlpibCwMPqeg4KCRM45+zME5/3w4QNNXyXAzc0Nw4YNK9P5gEKDvVWrVnQ1dPv27XBycoKPjw/i4uLofidPnuSkJymtABpQmFrl/v37MDU1RWxsLK5du4ZRo0ZBR0cHmpqaaNmyJWd1U1SK5usdPHgw2rdvj82bN+PFixf0/gU6Fe7u7vjrr7+gq6srUjx1RkYG5syZAxMTE5oWECj0Enr//j0+ffoEKysrKvKUnp4OVVVV1KpVi8aeikplu/tXNcUZR/fv34eUlBRtj9ihUxcvXsT27ds5ZY/nz2DTpk1QUVHBiBEj8OjRIzx48ADPnj2Dra0tNDU1cfnyZeTl5XHKzMuXL3Hz5k3ey4GnXIjiNZWTk4NPnz7By8sLVlZWIo0lq1JQk6fy+GMNbkGMTmlmLQVuZ/Pnz4e9vT1HYEfcjG5R8jbm5eUhPDwc1tbWaNOmjcjP9OLFC3h7e6NDhw44dOgQ/Pz8YGRkRAXFirqd7t2794+u1GWZAS8oKKDH3bp1S0hcSfBbenp6ucSC2Pf29u1b+Pr6olmzZkICb9u2bYOurm6xsdaluQ4AjBgxApqampg1axaMjY3Rtm1bmrrq5cuXGD16NAwMDODm5sZJMfS7hhWUF/a3CQsLg46ODlRVVaGiokJX/jMyMqjR7eHhATc3NygoKIjc/oiyf2pqKo4fPw4vLy/o6+vTuitqOZ85cybk5eVx48YNjov3wYMH4ebmBldXVxw6dAhubm4wNTUtkzDM+PHj0aVLF9y+fRsmJiZCYUDPnz+Hubk5FZ8pD8HBwZCTk8OYMWPg6+sLdXV1dO/ena4unzp1Cjo6OmjRogVHUbs0bZ/ALTwtLQ2rVq2CsbGxUNq158+fQ1dXFydPngRQKPA1evRo7N27t1zloSrc/asCdjuSlpYG4H/32KdPH2hoaODGjRt0n5ycHLi4uFRYiike8WHnzp2oX78+du/ejdTUVKHf7ezsoKamRseDQKFqPdtgEbcxHo/4w/Y0Kk37mJOTg61bt6Jdu3awtrYWaSxeXYKaPBXPH2lw//PPP5zUHqUdMPz3339Yt26d2M56imqwFBQU4MmTJ1i1apXIzyS41osXL+Du7g4VFRWoqKjQVTn2ef7++2+OWBffgf0PQdmLjo5G48aNqWp7SYjyjYumwUlJSaFuk4KVbjs7OyxZsgSZmZl4+/YtnJyc4ObmVuZB9OnTpzFw4EBqaHz58gUDBgyAjY0NJ9az6OCnphrbbObPnw85OTnExMTg2LFjWLBgARiGoYIn3759Q3h4OHr37o0+ffqI1CkPHTqUfpPS1r+4uDi6Cl3WCcYvX76gQ4cO2LZtG4DCVdqzZ89i8ODB2LVrFxYvXowuXbpATU0Njo6OZTLi4uPjYWFhQV3G3717h+joaJw/f14oDKi8Bvf169fRsmVLXL16lW7bt28fXFxc0LdvX3z+/Bm5ubmIjY2FnJwcJ3b7V88UFhYGR0dHWhdSU1OxYsUKGBsbc1zSb968iaZNm2LGjBk4duwYPD094eLiQn8vi/J5Zbn7VzXsd7xgwQK4uLjA19eXulM+ePAAnTt3hqysLObMmYPp06fD2dkZhoaGYvcsPOUjKSkJ7du3F9IYSE9Px+XLl6meiIeHB1q0aIElS5agY8eOaNmyJT9G4SkzU6dOhZWVFY4ePUq3/artz8rKwunTp7Fy5cpShyZWtaAmT+XzRxrcKSkpCAwMhJSUFPbu3Qvg1xWiuN/FaWb//PnzVPQmNDQUM2bMEPkcoho9gv1fvXoFLy8vtG3blr5PoHDg5+7ujlatWvEzaj/h8OHDYBiGrgJXNKGhoWjZsiV0dHQwdOhQKmgXHx8PHx8f1KtXD61bt0bnzp3h5uZW5jy6S5YsgZaWFgwMDDgKwB8/fsSAAQNgZ2eHpUuXCh0nTvWoKmF7H+Tk5KBjx45UIVzA7t27wTAMzYle9F2Vxkh49eoVrK2t0bJlS5pCp7QDypcvX5ZLwfvr169QVlZGWFgYLly4gL/++gtWVlawsLCAkpISIiIikJKSgufPn5fpOnPnzoWvry+6d+9ebBhEecOAitaBGzduQFFRkeZEF7B9+3bIyspS9/j8/HycOnUKSkpKcHNzK9W1BBkigMKJCaDw/RVndC9evBgKCgpo3bo1bG1tRZ6oqAp3/6qG/UwrVqxA48aNMWvWLFhZWcHS0hKzZs3Cjx8/8PHjR0ydOhV6enpwdnbGwIEDK01/g6f6SEpKgp6eHg4cOEC3hYeHw8/PDwzDoGnTpujUqROAQs8HR0fHcvV/PDxA4aSsk5MTPD09ceTIEbr9V20zu+0p7Xi5qgQ1eaqGP87gFhT67OxsTJ48GRISEjSm62cVgt34Pn/+XKw65pSUFMjJyaFDhw4YOnQoGjVqxHFlLAn28yYlJZXJ8GHns3V3d4ejoyM1ur29vaGtrS227vfiwokTJ7Bx48ZKOffRo0fRsmVLHDlyBGFhYejYsSPs7OxoA/zmzRt07doVKioq2LJlS7nUyB8/fgwvLy/IyMhwPBqAQqN74MCB0NLSoq6wNRn2uxPUVXV1dcybNw9AYV0RfIP+/fvDy8sL2dnZZU4Nd/fuXXh5eaFFixalNrrZbV55Bp8bNmyAjIwMGjVqhODgYMTGxgIAevXqhX79+pV4zdKeu1atWlBXV+fEnefn59MwoHbt2pU7DGjy5MnYsWMHzp49CwUFBSpowx4YtWjRgoqaAYXf5+jRo9DQ0KAGdGnYt28fJCQk6CoE2+geMGAA3e/Ro0eIj48v14RIZbn7Vye3b9/GyJEjceLECQCF32HChAmwtLTEjBkzaJq4ol424tSn85SfpKQkqKqqYvDgwThz5gy6du0KQ0NDjBgxAqdOncLevXvRvHlzWmfZYyC+LPCUBUH5uXPnDhwdHeHu7l4qo5vd7xWNvy5KVQtq8lQdf5TBzS7s4eHhmDFjBhiGgZSUFJ0F/dVK9urVq9G+fXv8999/lX6/opCcnIz69eujQYMGVKH3Z7Cfafny5XB1dS02hQ5QeuGi+Ph4eHh4wMXFBa1bt4aWlhYdkPIdWNWs5Bb9Vvv37+esmh45cgQdO3aEra0tNbqfPXuGgIAAeqyoauTA/wyPly9fwsPDA+3bt6ersgLev3+P9evXi/5QfxjschAQEAB1dXXk5+fD398furq6Qgaxv79/mYXl2Ne6e/cudZ/8ldHNPu706dM0fU5Zefv2LSdVYH5+PpydnREWFlbqc5RUf/bs2QNJSUkEBQUJtTMJCQnYsGFDmUNmAODYsWOoX78+zYXepUsXtGjRgiMM+enTJ+jr69MwJfY9iypAeO/ePXTu3BnKyso01lhgdJuYmAjFdBe939JSFe7+Vc3+/fuhr68PDQ0NzgAzKysLAQEBsLa2xtSpUzkZFADxfiaesnP69Gk0btwYGhoaMDY2xpkzZ/D582cAhXXKxMQEkydP5hzDlwWe8iCq0c3+e+nSpbCwsChxhbs6BDV5qo4/yuAWEBISAiUlJfzzzz9YuHAhfHx8ICEhUWxMN/v/kZGRaNiwIXbv3l3l9/wz8vLy8OjRI9SuXRvy8vJwd3fHx48f6e9Fn6foMwlmw4qDPZB78OABkpKSfrpffHw82rRpw1lRqqnG9s8GwZXRqbPPuWrVKgQFBaFz586YNm0aZ7+jR4/C1dUV7dq147iMAqIb23PmzMGwYcPQqVMnnDp1CkChC7O7uzucnJxKrCs1dVDDfu579+7B19eXpt46f/48jTkVqERnZ2dTz5Wywv6mt2/f/qXRXXRisnbt2kJifmUlPT0dly5dgpeXl0hxs+xn+Pr1q5Co3+bNmyEhIYEpU6bQ5ylaxsoyo79p0yasXbsWy5Yto9uSk5Ph7OwMeXl5LFy4EGvWrIGbmxtMTEzK7bIuIC4uDn5+flBQUOAY3StXrkSzZs2oJ0R5qGx3/+rg8+fP6NWrFxo1aoSpU6dyvkd2djaCgoKgoaFRIeJ5PL8HSUlJVMiVzdevX9GuXTsh4VAeHlEpqR2/devWT41udh+1du1ayMrK0gnQolS1oCZP1fPHGdxJSUkwMjJCVFQU3fbhwweMGTMGEhISNKe0QJlcwNq1a9GoUSOhFYzqorgKnp2djf/++w/Kysro2LHjL5Wmf/VM7GuEhYWhbdu2OHr0KHXJK2n/Dx8+/DYDtMqC/e7Wr1+PIUOGoHfv3ggPD6/064WFhUFWVhbt27eHhoYGZGRkOGl+AOD48eMwNzenqZ7KYgD7+vrC0NAQAQEBGD9+PBiGoSvYL168gKenJ5ydnTl1jaeQbdu2wd7eHk5OTsjIyKDbd+7cCRcXFzRu3BiOjo4wNjaGvr6+yKuLRdsH9nG3bt0q0eguOgCQkZHBnj17yvaQRSgoKMC5c+fg5eUFV1fXUrt4s59l7ty5sLa2hqamJjw9PREfH0+P37x5MyQlJTF16tQKaXeSk5OhoaEBhmEQEBDA+S0nJwdjxoyBtbU1zM3N0a1bN5Fd1tnvetu2bVizZg22bNlCtz18+FDI6P78+TP27NlTYYOnynT3r2yK3o/g/aekpKBPnz6wtLREREQE511lZWVxREJ5aiZJSUnw9PSEtbU1XxZ4ygW7HXr48CEuXbqET58+UdfwmzdvFmt0s8udYCy+b9++Yq9R1YKaPNXDH2dwJyQkQFpaWmgW6c2bNzA0NETdunWxc+dOzm8RERFo3LhxiZWhqmFX8OPHjyMyMhJxcXHUTe7Ro0dQUVGBu7s7EhMT8ePHD/Tq1QuLFy+mx61bt+6nFZxNWFgYFBUVcfTo0WLdzkvyCBC3AVp1EBwcDBUVFfj7+2POnDlgGAYhISGVNhHx8eNHBAQE0BXJ69evo0OHDmjZsqWQ0X316tUyf6P169dDR0eHejxs3LgRderUwYULF+g+T58+haWlZYWsxv3uPHv2DNevX6eiJmvWrEHr1q2hqKjIEZgDCmep169fj0mTJmHp0qUiCzoVnewZNGgQhgwZwjHmBCvdampq1NWb7cb2qwFAWcnOzsbdu3fLNCEXFhZGU9ndvXsXysrKcHZ2xpUrV+j5tm7dCoZhhDQEREVwvn///Rft27dHq1at8OHDBwDcQUtqaioyMjLKFfsZFhaGhg0bwsbGBpKSkujbty+d1Hz06BG6desGZWVlXLp0iXNcRQ2eKsLdv6phl/F169Zh1KhR6NKlC+3Xv337hp49e6JNmzZCRrcAfvBZ80hOTsa8efPg6ekJS0tLXl+Gp1ywx7shISHQ1dWFtLQ07O3tMXXqVJoV5saNG3BycoKXlxdHWBgo9DL9VV9blYKaPNXHb21wl2RMdOvWDV5eXhyRHQDo0aMHWrVqBTs7O7ptz549aNKkiVAlEQeCgoJofFLDhg0xbdo06jr1+PFjqKioQFNTE6amphzxsrVr14JhGOzfv7/Y87IrZlxcHNTV1Wlc+Ldv3/Ds2TNs3bqVpuHhKZ6LFy9CXV2dDpRPnDgBKSkpIXfGimoId+7cCYZhoK+vz0kFcfv2bbi6ukJdXb1Y17qfGd0ZGRlYtGiRkJDHrFmz6Or4rFmzICMjQ92YXr58iTdv3gAANVJqMv/88w90dXXRqFEjKCsrY9y4cQCAHTt2oFWrVujevTvev3//03OUZUAomOwZOHAgxo4dC0lJSY5r9O3bt+Hl5YXatWtzNCmqaoJRlMmec+fOwdDQEOfPnwcAnD17Fg0bNoSioiJ0dHRw9epVOiCJiYkp14TWnDlzMHXqVOTk5AAoXLUwMjKCsbExzetc3CBGVO+DgoICpKWlwdvbGzdv3kRqaiouXLgAGRkZ+Pn50djvR48e0cGaKNcRlbK6+1cnQUFBUFFRwejRozFt2jQwDIMpU6YAKFzp7tmzJ+zs7LB48WJ+ApgH9+7dg5eXF/z9/Xllep4KY9asWVBSUkJsbCyys7Px119/QVlZGaNGjaKLVDdv3qQegQK2bNnCSVH8K6pSUJOn6vltDW525/ry5UvcuXOHulhHR0fD0tISgYGBdHUpIyMDPj4+iImJ4QxoTp48Sd3sqhv2fV27dg0ODg64cuUKfvz4gUWLFkFLSwtBQUF4+fIlgMIBR2hoKObPn8+pcBcuXChxMF30vd2/fx+mpqaIjY3FtWvXMGrUKOjo6EBTUxMtW7bEsWPHKulpf3/27NkDe3t7AIVlrmHDhjT1V2pqarknLIoOIN++fYsePXpASkpK6Ny3b9+Gu7s76tWrJzTR9DPOnj0LhmEwYcIEaoAAhUaJp6cnFi5cCFlZWcTExNDfFi1ahP79+3OEiWrq7OratWtRp04drF27FrGxsRg1ahQUFRVperSVK1eibdu26N+/f7ErqGVly5YtUFdXpx1zdHQ0GIbhGCRAYTsSEBBArxkXFwc5OTmx8eYRcO3aNRqOcerUKcjJySEqKgqZmZlo1qwZHB0dce7cOU6dKOsgY+HChWAYBgsXLuQY3YaGhjAxMaFGd3myOgDA69evcffuXYwYMYKjjXHt2jXIyMigW7du1Oh+/fp1pRqMZXX3r07OnDkDNTU16m5/5coVMAzD8eT48uULXF1dMWzYsBrbBvFwSUlJoWVBnMs3j/jCbkuePXsGa2trmnc7NjYWDRo0gI+PD7S1teHv708zIjx+/Jgj4Hnw4EFOvu5fUVWCmjzVw29pcLMrQ2hoKMzMzNC4cWN07NgRY8aMAVDodmFjYwMdHR0MGDAAZmZmHNEbcW6I161bh6FDh3LcSABg2bJl1OhmuwgK+PHjx08HHezfxo8fjy5duuD27dswMTGBtbU1pKSkMHLkSBw8eBDPnz+Hubk5Lz7z/xSXQunMmTOwt7dHREQEpKWlERERQfc5ceIEunbtirdv35b72jExMXQW9d27d/Dy8kLTpk3x5MkTzn5Xr17F+PHjRS7bBw8eRJ06deDv708NgKtXr8LCwgL16tXjGGfv3r2DlZUVpk6dWr6H+gM4cOAAGIahuhBAoYeIiYkJzf8KFBrddnZ2GDhwoEjpo0oiNzcXixYtwooVKwAUiuQ1btwYq1atwuLFi8EwTLGKpYL6/+LFi3LfQ3koboCQl5eHhIQEZGVloWPHjlRZOCMjA3Z2dmAYBj169KiQawGFLv8Mw2D+/Pkco9vExATNmjUTWXm8KALxLlVVVcjLy1PhPAHXr1+HvLw8nJycqiz3dXnc/Sub0NBQIWXxvXv3wtXVFUDh5GbDhg1pG5uSkoJ///0XQGGdY3sV8PAAfFngKRtFPUC/ffuGPXv24OvXr7h48SIUFRVpSJOrqyvk5eXRs2dPOlELFK+ZUpTqFNTkqR5+S4NbwPz58yEvL4+zZ88iLS0NvXv3Rv369XH//n0Ahat3kydPRvfu3TF27NjfYlYfAEaOHAmGYWBubi6kGr58+XLo6elh6NChIq1ksomPj4eFhQVdJX337h2io6Nx/vx5zruxtLTkDW5wG8Y9e/bg2LFjSEtLw/Pnz9G2bVvUqVMHM2fOpPtkZWXB09MTffr0KXen//LlSzAMg8GDB9N4ocTERLi7u6Np06Z4+vRpsceVpoyzB9z79+8HwzCYMWMG8vLyUFBQgOnTp0NfX5/mOd2xYwcMDQ3h4+NDj6upg5rs7GwMHz4cmpqanNzMANCnTx/4+vpyjLZVq1ZBS0sLs2fPFvlaxb3jjx8/Ij4+HgkJCdDX16cG9s2bN1GvXj0wDEO9LQSIw0w4u1zevn0bt27d4iikf/36Ffr6+nQVMzs7G0OHDsWbN2/K1G4L3p0gFzqbVatWUaNbEFJx//599OnTp1xq5Pv27YOWlhaioqIQFRUFeXl5uLq6Ck10XLhwAW5ubtXyXcShLAh4/Pgx7O3thSYAoqOjYWZmhn/++QeNGjXiCFLu3bsX3t7enFANcXomHh6e3w92XzthwgQ4ODjgv//+o5OiQ4cOxciRI2lbNW7cOFhZWWHChAkitT/iIKjJU/X8lgZ3QUEBUlJS4O7ujq1btwIodA1v0KABVVHOz88v1q1InGb1gZIHCdOmTUPTpk0xf/58IaN71qxZ+Pvvv8tk7MydOxe+vr7o3r17sas4mZmZSExMhJubG8zMzPjKzSIoKAjKysrYsGEDDV/YsmULlJWVMXDgQOzatQsHDx6Ei4sLJ0ayvEbp8ePHUb9+fQwbNoxjdHt4eKBZs2aceO7Swi53AwcOxLhx46ihJohBzsvLw9y5c+Ho6Ih69erB3t4ew4cPL/YcNZH379/D398fVlZWmDt3LoDCb8UwDM6cOQOA2/aUJXUH+x0L8suyt124cAEGBgZ08u3Ro0cYMmQIjh8/LnZtHdsjIzQ0FFpaWtDX10eTJk0wZswYJCQkID8/H4aGhmjXrh1Wr14NJycnmJiY0Gcu7fsTiNcB/wubKC4dy8KFCyElJYXVq1cLZWcozbUE9VHA8ePHERgYiJUrV9Jtz549g4yMDDw8PEr0LqjpdUmAYCUJKEw/6OzsjNq1a3MmqjIzM+Hj44O+ffvW2Ak/Hh6eyuPdu3do3769UOhe586d0blzZ9rudO/eHVu3bqV/i9qOV7egJk/V8tsY3EULWF5eHmxtbXHr1i0cPnyY426Wk5OD9evXUyEwcYVdOa9cuYLz58/j+PHjdFtwcDDU1NSwZMkSIaXj4vL8lYYNGzagVq1aUFdX56yQ5+fnIz8/H/Pnz0e7du04ebb5yl2oNKmkpIQbN24IGTLr1q2Dj48PNUq7du1aYe9O8H1jYmJQu3ZtDBs2jMYLJSYmwsrKCp6enmU+/4ABA6Cjo4O7d+/i/PnzWLZsGaSkpGhohoD4+HiOyydvIBTy4cMHjB49Gm3btkXPnj0hLS2Nf/75B8D/3lHRd1WWMjF79mzY2dnB1tYWmzZtou3B1atXwTAMNmzYgFevXsHDwwNdu3Ytl6p2ZXD//n1IS0vj06dPWLx4MeTl5XH16lUAwOTJk8EwDI1H/++//2BsbAxra2u4ubnRulTaMhcREYFmzZpxDPzAwEDUq1cP27dv5+z75MkTNGrUCAzD0Mnb0tK/f3+66pqfn49Pnz5BUVERDMMI1Z/nz59DVlYW3t7eQqEgNRn2N01KSoKkpCR8fHxoW7N27Vro6+vj77//xqlTp7B//364urrCyMiIlm2+LeLh4akoFi5ciDZt2sDNzY1OcgvSCM+cORNWVlZwdXWFra0t9PT0aH9emnZIXAU1eaqG38LgZrvNrlixAjExMcjJyYG9vT06dOgAWVlZjrvZq1ev0LFjR+zYsaM6bldkJk2aBB0dHejq6kJdXR0dO3akA47g4GC0bNkSy5YtE8q7/avKV9Lve/bsgaSkJIKCgoQG5AkJCdiwYQNH+IEH6NevH2d1F+CmWSooKMCbN2+Qnp5ebmNn7ty5CA0NFYpLPH78OKSkpODv748vX74AKEyDUpqGPj09HXfv3uVsy8jIoGl12Gzbtg0SEhIIDQ3l5JAWwDf6XN6/f48xY8ZAUVGRE7tdnskW9jcV5MtetWoVPDw8YG5ujnHjxlERtpCQEDAMQzMWiGOakDt37kBBQQFv377FoEGDsGbNGgCFq/5NmjSh7bdgdv/Hjx/4+vWryHUpMjIStWrVKjZDQ2BgIKSkpDhG96tXrxAaGoo9e/aIXF+XLVtG37VggPT48WOYmprC0tKSKq4LeP78ORiGQWBgoEjXqQksWrQIR48exe3bt6GoqAhfX1/qxrlmzRp4enqidu3asLW1RZcuXfjJYB4enkrh5MmTkJOTg5ycHJ49e8b5LT09HXPmzMHAgQMxdOhQ2meUph0SV0FNnqpD7A3ux48fg2EYREZGIigoCDIyMrQSXL9+HXJycnB2dgZQaAClpqbCw8MDDg4Ov0VnvGzZMsjJydE4xqVLl4JhGM7qfFBQEOrUqSOUP/xnsCvo169fhYz1zZs3Q0JCAlOmTClR4OF3eH+VTV5eHn78+AEbGxuMHz+ebhOQnZ2Nq1evCgn+iGLsFG1Mly1bBoZhMGfOHKFV0uDgYDAMg/79+3OM4V81yK6urhg1ahRnW0pKCkeEo6CgAAUFBcjNzYW3tzcYhsGwYcP4SZdS8PHjR4wZMwY2NjaYP38+3V5eo/fGjRsYM2YMDh06RLfNmTMH1tbWnIkXgYeCuE2UsZ9fR0cHkZGR0NTUxP79+3H58mUhz6TAwEAhQ7W073Dt2rWQlJQUSsFy7do1+v+JEyeiVq1amD59Oo0DFqweAKV7b0Xr2vr16xEQEICPHz8CAB48eABdXV14e3sLuQK+e/dObL5NdcJ+hxs3boSysjLtA2/evAk5OTl06tSJk67wxYsX5c6JzsPDwyOgpHHThQsXIC0tjZ49e9JxVknCjKK2Q+IoqMlTNYi9wZ2Tk4OIiAhISUmhcePGeP36NYD/rS5u3boVEhISaNeuHf1nbGwstjPgRSvrgAED6OpOdHQ0GjduTMWO2KqHq1evLvWzsCvm3LlzYW1tDU1NTXh6eiI+Pp6eZ/PmzZCUlMTUqVP5wcv/U1KjFhAQAEVFRZp/WvAdX758iaFDh+LevXvlvl58fDydGNm+fTtq1aqFWbNmcb77woUL4ePjAwcHhzI3wOwyEBoaCm1tbVy5coWzT0BAAHr06IGBAweW6Ro1kQ8fPmDMmDGwtbVFWFhYuc8XExMDLS0tKCsrC6UuFBjd48aNE1I+F7c2Dygs57a2tggPD8eqVatgY2ODunXrYtOmTXSfz58/w9nZGcuXLxf5/MUpxgOAj48P+vXrx9GrWLp0KVRVVaGjowN7e3uOp0ppKBrOM3z4cBgZGWH69Om0/sbFxVGju+iACuCNRQE3btyAv78/Nm7cCOB/7aHA6O7SpQsNoWHDDz55eHjKA7sNOXPmDDZv3owjR47QtLuC9F8DBgzg9B/sMXxpJoN/N0FNnspDbA3uosrQghyzRZV3gUJFv9DQUAQHB2Pt2rV0MCNugxp25RTM5puamiI8PBxnz57lrPbk5eVh2rRpQkI/ogymw8LC0KxZM0RGRuLu3btQVlaGs7Mzrly5Qt/v1q1bwTAMTXNQk2GXuWvXruHixYt01er58+ews7ODlZUVXrx4gdzcXCQlJcHDwwNt27Ytd8MYEhICPT09yMnJISgoCA8fPsTu3bshISGB6dOn4+3bt8jOzkbnzp1x5MiRYu+5JNhlZsqUKZCRkaGrfrdu3YK3tzecnZ2pYfD27VtYWFjg1KlT9Dhxck8WZz58+IA+ffpgyJAh5X5n+fn5GDduHOTk5DBy5Eghga558+ZBQ0MDy5YtK9d1KoNjx44hNDQUFy5cwOPHjwEUem4MGDAAR48ehYGBAdq3b0/T5iUlJcHd3R1t27YVecKArRgvSJUGAF27doWuri6dpGV/j1evXiExMVHkFFns+iYYmAGFYUFmZmaYOnUqx+g2MDBAmzZtaAornv9x+/Zt1KlTB3Xq1OF8N8E7vnXrFhQUFODo6FhsaAsPDw9PeQkKCoKmpibMzMzg4uICNTU13L59G0Ch4Ka0tDQGDRokchvEC2ryFEUsDW52AXv+/Dk+f/6M9+/fY/Xq1WAYhq6A/KwgitsqD3uwFxISgjZt2uDTp0+YP38+2rdvj3r16nGM3uTkZHh4eGDp0qVlut65c+dgaGhI3TMFBr2ioiJ0dHRw9epVOsiMiYkRu8mJ6iQgIADNmzdHnTp14OjoSEWwLl68iI4dO6JevXrQ19eHvr4+zMzMRBZ1Krrvnj17oKKiggMHDmDGjBmwtrZG586dqSCglJQUWrVqBQ0NDZHVz4vWg4KCApiamkJXV5dO+pw+fRp+fn6oXbs2DA0NoaioyHGz5Y1t0fjy5YvIeYFLKjv5+fkYO3YsTE1NMW/ePI7XC1Coki9ObZ1ADKZLly4wNjaGnp4e6tWrR1e0W7ZsiYyMDOzbtw/m5uZQVVWFjY0NzM3NYW5uXmbPJIFivI2NDZYvXw4/Pz8YGRlRo/hnIpOlrbfs/WbNmgVbW1uOy3hwcLCQ0X3nzh307NmTHzSh+G+wceNGNGnSBJ06dcLz58+F9r1y5Qrc3d3598fDw1PhbNy4EYqKinQBYsmSJWAYBnv37qX7nDlzhob4lRZeUJOnOMTO4GZ3rJMnT4a7uzv27NmDgoICfP/+HYsXLwbDMJzctxMnTsTp06cBiL9xcOfOHTg6OlKF3kuXLkFXVxd2dna4c+cOgMI4Pw8PD9jY2JR5MH3t2jVa4U+dOgU5OTlERUUhMzMTzZo1g6OjI86dO8d53zXV6GaXmTNnzsDY2BiXLl3C9evX0b17d7Rp04a+yx8/fmD79u1Ys2YNtm/fXu6Y2QsXLmDs2LHUpRIADh8+DEdHR/j4+ODly5d49uwZwsPDsXLlSpFEOtj77N69m7q9C4zu1q1b0/RJKSkpiI2NxerVqzlqzfxAt+yUxZDbunUrgoKCMG3aNBw4cID+PmrUKJibm2PevHlCegGA+E0wCp7p8+fPuHTpEg4ePIhhw4bBysoKvr6+SE9Px6tXrxAZGYmZM2dWSF0SKMarq6tDVlaWutqzXcY9PDwwadKkcj1bcHAwFBUVsX//frx69Yrz28SJE2Fqaorp06dzckQDNbsusZ89IyOD46K5du1aKCkpITg4mHojFD2muL95eHh4yoO/vz/tDw4ePIiGDRvSha/09HQqTHr79m2R+iVeUJOnOMTO4BYwefJkyMnJ4fjx4xwVv6ysLDoL1bdvX7Rr1w46OjpiayyyBwmrV69Gly5d4OXlxcn5evjwYRgaGkJbWxva2tqwtLSEpaVlqVd7ihuI5OXlISEhAVlZWejYsSMmT54MoHCwY2dnB4Zh0KNHj4p4xD+GQ4cOYejQoZg6dSrd9vHjRwwYMAA2NjYcVyA2ZTV2Pnz4AE1NTTRq1EjILfjIkSNo3749fH196eSMKNdjl4muXbuiTZs22LFjB3VzKigogLGxMVq3bl1sqrOi5+CpfAIDA6GgoABPT084ODiAYRgEBwcDKPxeo0aNgrW1NUJCQjgGizhSXNkpKChAdHQ0bGxs4OnpyWnXBZR34uDjx48YO3YszM3NsWjRIs55PTw8oKWlJXLMNpuLFy9CQ0ODrojk5uYiOTkZMTEx9JlDQkKgqqqKDRs2ABD/SeDKhl0WlixZAjc3N9jb28PPz49OHkVEREBFRQUTJ06kOhk8PDw8lcmoUaOwYMECHDlyhBPSmZ+fj3/++QcrVqzgCDf+ys7gBTV5foZYGtyPHz+GoaEhJyc1wHVJ2717N9zc3DBkyJDfQiDt2bNniIyMRP369aGkpCQksvXgwQMcOXIECxcuxOHDh0u92sN+5tu3b+PWrVvUVRgoVCjX19fHli1bABTGOw4dOhRv3rwRu/dVnXz58gVt2rRB3bp18ffff3N++/jxIwYOHIh27dph1qxZFXrdf//9F1paWnBxcUFcXBznt2PHjsHAwKBcK3J9+vSBnp4eRyiN7ZJuamoKHR0dXLhwocYbBtXJ6dOnoaCgQCdXMjMzsX37dtSpUwfTpk0DUPi9+vTpg0GDBv1230pwv/n5+di9ezccHBxgbm6OlJSUCr+WYKXbysqKGt0+Pj7Q1tamfUVZBzYHDhyAqqoqgMIY7dDQULRq1QqSkpJo3749Pe+aNWv49rUIISEhUFBQwJo1a3DkyBFIS0vDzs6OY3S3aNECw4cPpytLPDw8POWlpMWDmTNnQkVFBdLS0pz0qF++fEHHjh0xc+ZMka7DC2ry/AyxNLjj4uI4cRVscnJyaAfNXiUWt0LKruDjxo2DjIwM8vLysHPnTjRt2hTDhw9HfHz8T8/xqwEbO94jNDQUWlpa0NfXR5MmTTBmzBgkJCQgPz8fhoaGaNeuHVavXg0nJyeYmJjQ+6upg8LiGuAXL16gU6dO0NHRERKr+/TpE3x9fTFs2LAKN3bu378PU1NTDBkyBA8fPuT8duXKlTJ/owcPHsDQ0BD3798HUPh80dHR6Nu3Lw3JKCgogLKyMl1J5al8hg4dKpSmb8eOHdDX1xdafY2IiICsrCwnh7qo8eHiAnswEhUVhREjRlSaFwVbMV5BQYGzsl2evuLt27dQV1eHnp4eFBQUMHjwYGzbtg0vX74EwzBC+b9ravtalGfPnsHIyIiGfh07dgyNGjXiDHIBYP78+ejUqdNvV7Z5eHjEE3Yfc/LkScTGxnKysnTs2BFNmjTB9evXkZCQgNevX8PNzQ2WlpYi9RW8oCbPr6h2g7s4IZWrV69CWlqa5qLOycmhv50/fx6bNm3i5KcT5845MTERY8eOxZkzZ+i2TZs2QUVFBRMmTOBUTFG4f/8+pKWl8enTJyxevBjy8vJ0dWzy5MlgGAbXr18HAPz3338wNjaGtbU13NzcyiTy9SdRNBXXy5cvabzlq1ev4O7uDmdnZ+zatYtz3NevXyvN2Ll79y7MzMwwZMgQPHr0SOj3sgzcExISoK2tjblz52Lr1q3w9fWFkZEROnXqxCvTVxMfP36Et7e3kGEdGxuLevXqUR0HQfm6f/8+FBUVcfHiRc7+v2vdLY9omah8+PABffv2hbu7e4UY20BhPbx37x6mTp2KQ4cO0RX69PR0tGnTBmfPni3vbf+RXL16FS1atAAA6r7JTn+5fv16uu/PBO54eHh4Sgu7DQkICICsrCyaN2+O5s2bU2/FtLQ0WFtbQ01NDTIyMrCxsUGbNm1E8pzlBTV5SkO1GtxFhVTYsRJdu3aFoqIiTRsDFMZvu7q6Yty4cVV6n2Vl69atqF+/PgwNDREfH8953o0bN0JVVRWBgYF49uyZyOe+c+cOFBQU8PbtWwwaNAhr1qwBAOzduxdNmjShIl8CL4AfP37g69evtAESN4+AqoLdAE+bNg2GhobQ0dGBkpISIiMjARQa4e7u7ujQoQN2794tdI7KaiDv3r0LS0tL+Pn5CYkx/YriOoXMzExMmDABRkZGaNKkCebPn09F0jw8PLBgwQLO/nzDX7VERUXR9i0hIQEdOnRAr169OKEFiYmJ0NXVFcrD/TtTlYYUe5KsLKm/fkVOTg4+ffoELy8vWFlZ8SvaKD5P7efPn+Ho6IiwsDA0bNiQtrVAYbvn5uZGJ4gLCgp4Y5uHh6dcsNuQ169fw8jICPfu3cOdO3ewdOlSSEhIYMqUKXSfkydPYt++fbh8+bLIfYYAXlCT52dUm8FdkpBKt27dkJaWhkePHsHFxQXS0tKYP38+ZsyYgQ4dOsDAwEBsjcWilebs2bNwc3NDgwYN8PTpUwDgTCpERUVBQkKCo7j+K9iNiI6ODiIjI6GpqYn9+/fj8uXLHOGHnJwcBAYGCiki8oMZYPbs2WjatClOnTqFjIwMdOnSBU2aNKGryy9evICnpyeMjY2pG2RVcOPGDQwYMECkBpg9yF+5ciVGjRqFyZMnUw+RhIQETgP/+fNn6OrqclaVeCofdr379u0bZGVlYWlpSb/Ntm3bYGdnB1dXV+zYsQOnT5+Gq6srLC0teUOunJSmPglyrwKlayNzcnKwdetWtGvXDtbW1mKrJVKVFH3PgveYmpqKrl27QkpKChMmTKC/Z2VlwcPDA506deIHnTw8PBXO4sWL0adPH046rvT0dKxevRoSEhIICwsr9jhR2yNeUJPnV1S7S3lRIZWGDRvC2dkZ3759Q1JSEoKDg2FlZQUHBwcMHDiwwlwDKxOBEEJBQQGuXLkCKysrqKurU1Vetov80aNHyzRAy8/Ph62tLcLDw7Fq1Sqa53bTpk10n8+fP8PZ2ZnmLa+psMuKIL2cm5sbjdM+cOAAZGRkqFeAoIw9fPgQEyZMqPKBIFtgShR8fX2hr6+PwYMHY9CgQZCQkEBUVBT9/dOnTzh//jwMDAzg4+NTkbfM8wvY31KgQfHmzRvo6urCysqKqphGR0ejd+/ekJKSgpmZGZydnXlDrgqYOnUqrKyscPToUbrtV4OhrKwsnD59mpOuT5z7pcqG/b6WLFmCPn36wMXFBbt27cL379/x9u1bGBkZwd7eHoGBgVi+fDnat28PAwODGh/mxMPDU/Gkp6cjICAADRo0gLu7u9Bvq1evRu3atTF+/PhyX4sX1OT5FdVqcJckpCJwjxaQkpLC6czFeVBz7949MAyD6dOnAygchFy9ehVt27aFnp4ejd9gr3QDvx5MHzt2DKGhobhw4QIeP34MoDDX34ABA3D06FEYGBigffv21EU1KSkJ7u7uaNu2bY2u3N27d8eAAQM4kxwfPnyAoqIinj59ivPnz3O8AjIzMxEWFsbJBwtUvbEj6sxneHg4DAwMaO7hqVOnQkZGhmoHFBQUIDw8HG5ubujfvz89jh/gVj5FUwPOmzePupu9ffsWWlpaHKNbsP3Dhw81PgSkqrh+/TqcnJzg6emJI0eO0O2/qofs71KedGO/O+wyHhYWBllZWQwZMoR6Dg0aNAgfPnxAfHw8DXPx9PTE8OHD+ckKHh6eCqG48cx///2HqVOngmEYuqgiICMjA/Pnz0e7du3KvdrMC2ry/IpqNbh/JqTy7ds36nbB5ndwwYiIiECdOnVoSgHBSne7du1gYGAgUsqTgoICpKWloUuXLjA2Noaenh7q1atHV7RbtmyJjIwM7Nu3D+bm5lBVVYWNjQ3Mzc1hbm5e41fHduzYgbp162L8+PEco7tPnz5wdXVF/fr1OV4BiYmJaNeuHU2jJu7lTdDBTJgwAUOGDAEAzJs3DzIyMjh16hSAwvyOT548QUZGBm7cuCF0LE/VEBQUhKZNm2Lr1q149+4d3f7mzRtoamrCxsaGTpiw4b9T5SKo43fu3IGjoyPc3d1LZXSzv0vRCdSaikAdni3yt3PnThgZGWHUqFEACvui3Nzc32YSnYeHR/xht8dPnz7FlStX8OXLF+Tl5SErKwuTJk3i2BgCsrKyKkSokRfU5PkVVWZwl1VIhZ1T+nciMjIStWrV4hjdV69ehY6ODnr16iXy+QSNyefPn3Hp0iUcPHgQw4YNg5WVFXx9fZGeno5Xr14hMjISM2fOxPbt20udy/tPRfD8Bw8eRJ06dRAYGMjJ+aqmpgZvb2+6f1paGtzd3dG+fXuxm6AoGv8reA4Bc+fOxZQpU7B48WI0adIEJ0+eBFBYbjZs2IBp06b9Nsr+fyIbN26EsrIy7t27R7fl5uZSA1uw0t2qVSsaesJTdYhqdLP/Xrp0KSwsLGr0CjdQOLnJMAxatGghlNJz69atqFu3Lk1RyIZvi3h4eMoDuw0JDQ2Frq4ulJSUYGFhgeHDh+PTp0/4/PkzwsLC0KhRo2IztJSmHeIFNXnKQ5UY3H+ikAq7cs6dO1do1gwA1q5di1q1alE16IKCAsTFxZU5Zru4e4iOjoaNjQ08PT2LHajX1ErOfu4HDx5g0qRJYBiGCmTk5+cjMDAQRkZGMDExgZ+fH6ytrWFsbCx2XgFFB/fOzs40b7eArVu3QkJCAnXr1kVMTAzd/u7dO5iZmWHu3LlVes88XCZNmoQuXboAAJ4/f47IyEgYGRnBwMAAK1euBFCYu/Pvv/8Wm3L3p1NS33Lr1q2fGt3s+rh27VrIyspSPYiaRNH3l5CQgF69eoFhGBw6dAgA181eXV1dyKWTh4eHp6JYvHgxFBQUaChd7969IS8vT/Nuf/jwgabNPXjwYKnPywtq8lQElW5w/4lCKuz7+fDhA6ZMmQKGYbB161a6vaCgAD9+/ECPHj3AMAwmT57MOUd5Kx5bWGv37t1wcHCAubk5dWPhKSQoKAitW7fG8OHDYW1tjVq1amHs2LEACt/dkSNHMGHCBIwdOxZLly4Vu3hCdv0ZN24cFBUVsXDhQgwePBi1a9fGwIED6e+zZs2icUrHjx9HbGwsdHV10alTp2LPx1M5sNuH79+/AyhUxTc3N8ewYcNgbm6Obt26YcKECZg0aRKaNWtW7ZoBNQ32N3r48CEuXbqET58+UdfwmzdvFmt0s7/L2rVr0ahRI+zbt6/qblwMiYyMpDln37x5g06dOkFOTo7jzZGcnIyWLVty+kgeHh6eiiA/Px8ZGRnw8vKik3rHjx+HtLQ09ZzNycnBjx8/8PHjR0RGRpZ6jMcLavJUFJVqcP+JQipF05mNHj0aly9fpsaOIPZXQEhICOzt7StElKEo7BWXqKgojBgxQuwmJ6qSou83NjYWjRo1oqrx379/x5YtWyAlJQV/f/8Sv4c4GjvBwcGQlZXFkydPABQ+i2BFPjU1lbOflpYWpKWlYWdnhwEDBtDfanLZqCrY73jNmjVYs2YNUlJS8ObNG4wfPx4ODg5YvXo1/Y7Hjx+HnZ0dPn/+XF23XONg1/uQkBDo6upCWloa9vb2mDp1Kr59+wagMEWfk5MTvLy8sHfvXs45IiMja7yxXVBQgJSUFEhLS2P37t10+7t37+Dp6QkZGRlMmzYN4eHh8PT0hKGhodj15zw8PL8nxY3f2rdvj3///RcnT57kxGvn5ORg3bp1HG0JoHT2BS+oyVNRVIlL+Z8opBIcHAw5OTns2rULb9++RU5ODiZPnoxatWph8+bNyM7ORk5ODrp16yZSJRWV4s5XEw2rHj16IC4ujrPtwIEDaN26tVC8c3h4OBiGwcyZM5GRkVGVt1kmrly5AmlpafTu3Ztuy83NRcuWLaGgoIDjx4/TFSagUNX/2bNnSExMpNtqYpmoTgQCaf/88w+N0/7x4wcyMzPpPtnZ2fD29oaXlxfveVANzJo1C0pKSoiNjUV2djb++usvKCsrY9SoUdRT6ObNmzA0NERAQAA9bsuWLWAYBtHR0dV059WHoB1hl1dHR0esWrWKs9+7d+/QrVs3MAyDPn36YMOGDVRDQpz7dR4eHvGH3f7s3LmTtj++vr7Q1tZG48aNsXHjRrpPQkICHB0dixViLs11eEFNnoqg0g3uP1FI5fTp01BXV6crpwLS09Mxc+ZMMAwDc3NzaGtrw8jIiA4wKuuZxPldVRXdu3fnqJADwLVr1yAhIYHz588D+N97iouLg7S0NBiG+S1ylH/8+BEzZ86EkZERpk2bBgCwsLCArq4ugoOD4e3tDUNDQ+jo6CAkJAQHDhzgHM+Xj6olMjISzZo1w7///ku35eTk0FXs79+/Y+vWrXB1dYWRkZHYhs78abDrwbNnz2BtbU3dBGNjY9GgQQP4+PhAW1sb/v7+1HPk8ePHHAHKgwcPctwLayJPnz6l/+/fvz+6du0q1M68evUKfn5+UFBQoB4d/OCTh4enPBQNBzI1NYWpqSkOHDiAR48ewcrKCoaGhgAK25uUlBS4u7ujXbt2ZfJe5AU1eSqKCje4a4KQyqZNm6Cvr19ivPTFixcRFhaG2bNnU2NbHN2U/wSKvtfw8HBcvHgRP378oKtWDg4OVDQDKCyTI0aMQGxs7G+z2pKUlIQ5c+ZAV1cXTZo0gZeXFyfs4suXL5g0aRLs7e05K+E8VU9QUBD69OkDAIiPj8emTZtgYmICZ2dnrFmzBrm5uQgICMCIESPENnTmT4M9CIqLi8O3b9+wZ88efP36FRcvXoSioiJVrnV1dYW8vDx69uyJtLQ0epygranpE1hr166FnJwcWrduDRsbGzg7O8PR0RGnTp1CUlISx2soKSkJHh4eUFZWxoMHD6rxrnl4eP4kAgMD0bVrV9ja2kJGRgba2tqIiIjAzp07oaqqCi0tLdja2sLW1hampqYiCZfxgpo8lQEDAKQSWLduHdHT0yN2dnbk7du3xN/fn1y+fJmcPn2amJiYEEII+fz5M7G0tCSzZs0ivXv3rozbqFAAEIZhSHh4OFm1ahW5du0aadKkCUHhxAVhGIbs3buXmJqaktatW9Pj8vLyiKSkZDXe+Z+L4L0XFBSQWrVqETU1NVK7dm2yfft2YmVlRc6dO0eWLVtG3rx5Q8aMGUMUFRXJmjVrSG5uLjl79ixhGOa3+T7Jyclk/fr1ZMOGDcTHx4csX76cEEJIbm4uqV27NiGEkPT0dCItLV2Nd1mzEJQ/AQUFBWTChAnk8uXLxMnJiVy6dIkoKysTJSUlwjAMuXTpErl69SrJz88n0tLShGEYkp+fTyQkJKrxKf5s2N8oICCA3Llzh2zdupU0bdqU1K1blwwbNoxISkqSFStWEElJSTJ+/Hhy9epVYmdnRxYtWkRq1apVzU9QvQjaVgGvXr0iOTk55O7du+TZs2fk1q1b5OTJk8Ta2po8fvyYqKioEEVFRTJkyBDSs2dPkpCQQHr06EE+ffpEHj16RKSkpKrxaXh4eH53/vnnHzJ+/Hhy5swZoq6uTnJyckjfvn1Jbm4u6devH3FxcSFbt24lP378ICoqKqR///5EQkKiVGM9dnv36NEjkpKSQrS0tEjjxo1JnTp1yK1bt8jEiRNJ3bp1yciRI4mXlxchhHD68cjISBIcHEw2bdpEunbtWrkvg+f3oaIt+JogpPL48WNISEhQ914B6enp8PHxwerVq6vnxmoY7FlIgbtuQUEBLCwsoKWlhVu3bgEodC339/dHw4YNYWhoCHt7ezrb+butVglWuvX09DBx4kS6vag7/e/2XL8j7PKXmZlJy+CnT5/Qv39/WFtbY/ny5VRbIDo6Gm3btsXXr1/pcfx3qjrevXuH9u3bCwnndO7cGZ07d6bfonv37ti6dSsnE0RNhf3sUVFRCAoKwtixYzmpBy9dugQZGRncvn0bMTExiIqKwrhx4ziebImJifjvv/+q9N55eHj+TMLCwmBnZ4f8/HzaRr179w5WVlbQ1NTkiFwK2vHSrGzzgpo8lUmFGNw1UUglMjISUlJSGDt2LE6dOoXz58+jY8eOnJhtnsqDPRBcunQpxo8fj4cPHwIoLIempqZo3bo1bt68Sff78OEDkpKSaDn9Xb+TwOg2MDDApEmTqvt2aiTs8jd79mx4eHhAXl4e/v7+OHv2LABwXGtzcnLg6ekJX19f3siuBhYuXIg2bdrAzc2NMzmXn5+PmTNnwsrKCq6urrC1tYWenh4dnNVkY5tNUFAQFBUVMX78eHTr1g0aGhoYO3YsCgoK8PHjR2hra3Ny1Qr4XdtYHh4e8UPQd86cORMWFhbUfhBM7p09exb169eHo6Mjdu7cyTlGFHhBTZ7KoEJXuGuSkEpBQQEOHjyIFi1aQEVFBfr6+ujYsSOf4L6KEahB79y5E2/evKHbCwoKYGxsDG1tbVy7dk1o4CeOA+mS7qm4DkNgdMvJyXE8SXiqlsmTJ6Np06bYtm0bjh49CgMDA1hYWNCymJaWhk2bNsHDwwOGhoa8QFo1cfLkScjJyUFOTg7Pnj3j/Jaeno45c+Zg4MCBGDp0KK+7UYSYmBioq6vjxo0bAIA9e/agbt26nNhEY2NjzJ07l/7NTyrx8PBUFnFxcZCQkMD06dM520+cOIGuXbvCyckJHTp0EPL8KwleUJOnKqgwg7umCqkkJycjPj4ez58/p4Nofla/atixYwdUVVVx9+5dui03NxePHz8G8L+VbllZWbr6La6wB/f//vsvHj58iOfPn//0mA8fPuDw4cOVfWs8/4+1tTXHlfbJkycwNjbGuXPnAACXL19GnTp1EBUVBaDQqM7IyMCwYcMwYMAAXiCtiihpMuPChQuQlpZGz549aX9UnHcWwH8jNhs3boS9vT0AYO/evZCWlkZERAQA4Nu3b7h06RIcHByEQqx4eHh4KouoqChISUkhKCgIt2/fxsuXL+Hp6Yk5c+bg8ePHYBgGsbGxvzwPL6jJU1WUWSmqqJCKi4sLsbe3FxJSycrKKlZIJTIykvTo0YN06dLltxZSkZeXJ/Ly8vTvgoKC30KA60/gv//+I61btyampqbk2bNnJCYmhqxbt458/fqVDB48mMyePZvcuXOHDBw4kOjo6FT37ZZIQUEBFdvo06cPefz4Mfn69SuRlpYmgwYNIv7+/kLHACBKSkrE29ubnqOmiztVJoMHDyYZGRnE0dGRbpOUlCQFBQXEwcGBREdHk/79+5Ply5eT/v37k8zMTHL06FHi6elJli1bRurWrUsF0vj2ofJg14OzZ8+ShIQEIisrS/T09Ii9vT3Zv38/8fX1JXXq1CGrV68m9evXFzoHAP4bsZCUlCTNmzcnMTExZMCAAWTRokVk+PDhhBBCzpw5Q+Lj40lgYCBxc3Or5jvl4eGpKfTv359IS0uTkSNHkp07dxIAREFBgUyYMIF8+vSJtGrViigoKPz0HChBUNPb25vUrVuXbNu2jXTt2pUMGDCAEEKIrq4uSUlJIUpKSqRBgwb0PILxG1tAlYenKGUaVbAHNf/88w95/PgxycnJIe7u7qRXr16EEEIuX75Mbty4QVavXk2Sk5PJx48fyb///ku6detGCCFEVVWV7N69m+Tn5/+2xnZx8EZP5YAiatCEENKsWTOSkJBAunXrRh49ekRMTExIjx49iIyMDPH39yfdunUjxsbGJCoqihBCxFYNWlBm+vXrR27evEkOHz5MGjZsSPr27UvCwsJIt27dSLNmzTjPX/Rd8OWu8sjNzSXPnj0jXbt2JXXq1CHLly8nDg4ORFpamqSkpJB58+aRxYsXk/nz51ND5MGDB2T79u1ETU2NWFtbE0IKy7A4lr8/CUE9CA4OJvv37yeNGzcmcnJy5Pnz5yQ6Opp06NCBHDlyhHTq1InUqlWLrFixgjRo0OCndaumY2VlRYYMGUJ27NhBNm3aRPr3708IISQrK4usXbuWKCsrk6CgIEKI+LaxPDw8fx5du3YlNjY25N27d+THjx+kbdu2pFatWmTt2rVEQkLilwa3oK1PSEggd+/eJbNmzSLNmzenvycnJxNC/mdQv3//nowZM4b06tWLkx2Hh6c0lMngZg9qtmzZQnr27Ek+fPhARo0aRby8vMjy5ctJ69ataWEvOvMtkOZXVlYu5+3z1ATYjVpiYiIhhJDGjRsTPz8/kpqaSk6dOkUCAgKIo6Mj0dDQILdu3SLW1tZEVlaWcx5xHgh+/PiRvH37luzatYtoa2uTJUuWkAcPHpDo6GiirKxMMjIySMOGDav7NmscAiPZwcGBHDlyhNy9e5dcu3aNeHt7E01NTdKjRw8yefJkMmnSJDJq1ChCSKEhMnv2bAKAWFpa0nPxhlzVsGnTJrJlyxZy8OBBYmNjQ5YuXUpOnz5NXr9+TczNzYmjoyM5ePAg6dChA9HQ0CChoaHVfctijY6ODtm+fTvp27cvefLkCTl//jwBQObNm0c+ffpEjh07RvcV5zaWh4fnz0NFRYWoqKgQQgrTeC1YsIAcP36cnD59migpKf3y+EWLFpEDBw6Qxo0bEz09PUIIoal+TU1NydGjR4m7uztJT08nqampZMeOHbyxzVMmyuw3d+LECbJv3z5y+PBhYmVlRfbu3UuOHDlCrKysCMMwRFFRkdStW5ecOnWKmJubE0L+t0rJu+vxlBYAtFGbPn06dWG0sLAgnTp1ImPHjiUjR46k7r3fv38nM2fOJA0aNKCNsDhSdMX++/fvJC4ujjRu3JisWLGCzJkzh+zcuZO4urqS1NRUsnjxYtKzZ0/aIfBUDQzDEAkJCTJy5Eiyf/9+cuLECTJ37lyiqalJCCFk2LBhJCEhgSxevJhISUmRrKwscu/ePfLhwwdy7949UqtWLb5jrmLi4uLIgAEDiI2NDTl06BCZNm0aiYyMJH5+fiQjI4NkZGQQJycncuvWLWJsbFzdt/tb0LlzZ7Jx40YSFBREtm/fTpSUlIiysjK5ffs2kZSU5Fe2eXh4qpW8vDySm5tLFBQUyIULF4i+vn6pjjM2NiYLFiwghBDy5csXIicnRxiGIQzDkPHjxxMJCQny8uVLIikpSdasWUMkJCT49o6nTJTZ8n3//j1p3rw5sbKyIvv27SODBg0iy5YtI7169SJpaWkkLi6ONGnShOTk5NBj+BUeHlERlJnp06eTVatWke3btxN5eXkyb948MmLECNKuXTuira1Nvn//Tg4ePEiioqLIly9fyM2bN8XW2GE31p8+fSJycnJEVVWVODg4kMDAQHLhwgWyd+9e4uzsTAghJD4+nty4cYM4OzvzBnc1ERcXRzIyMoibmxuJjo4mzZs3J3///TfR1NQkS5YsIYaGhuTYsWNEXl6eGBsbk5iYGCIpKUm9eXiqjry8PCIjI0OOHj1KevfuTRYtWkSGDBlCCgoKSHR0NPn27RsZNmwYnQjmv9GvkZCQID169CAdOnQgqamppE6dOqR58+aEYRj+/fHw8FQ7kpKSxNTUlBgYGJQYplrceLBjx45k//79xMvLi8yYMYOsW7eONGjQgBQUFJCGDRuSkJAQju3Ct3c8ZaXMpYYXUuGpKpKSksiFCxfItm3biJubGzl58iSJjY0lERERRFtbm+Tl5RGGYUhiYiIxNTUl8+bNE1tjh21sDx48mNSrV48MHjyYGBsbEysrKxIWFkb8/f1J27ZtCSGEvH79mgwcOJCYmppyBLt4KpeiHbObmxt5+vQpef36NVmwYAFZsmQJAUB69OhBmjVrRkJCQsi4ceNIvXr16DG8QFrlUtJkmqKiIlm5ciVJS0vj9EsCd0A7OztSp04duj//jUpP06ZNSdOmTenfvEgoDw+POFEaY5sX1OSpDhgAKMuBT58+JcbGxuTHjx9CQiq+vr5EWVlZ7MWqeH4PPn36RKytrcmJEydIfHw86dGjBx1I5+TkkPXr1xMPDw+iqqpKateuTQgR/zLn5+dHnj59SpYuXUosLS2JjIwMIYSQ8ePHkx07dhBNTU3SuHFj8u7dO6KpqUkOHTpECClePI6nYmF3zPfv3ydpaWlEUVGRaGtrE0IIuXHjBgkPDyePHz8mgYGB5K+//iKEcGe++e9UubC/0alTp0itWrVI/fr1ia2tLSGEEFdXV3Lz5k1y4sQJoqqqSn78+EFGjBhBvnz5Qq5evcoPmnh4eHhqICUJapqbm5Nz586RTp06ke7du1NBTR6eiqLMow5eSIWnMrh//z759OkTnbghpNCtXEtLi4SHh5OtW7dyVq1ev35NYmNjiYaGBtHQ0KDnEecyFx0dTeLi4sipU6dIy5YtCSH/M9aWLVtG7O3tyaNHj0hubi7p1asX6d27NyGET/1VFbA1AyZNmkQOHDhAPn78SJo3b07U1NTIsWPHqOp4REQEWbZsGcnKyiL9+/fnGHG8sV15sL9RYGAgiYqKogOjoUOHksmTJ5N9+/YRFxcX8tdff5G0tDSira1NGIYhV65c4WOOeXh4eGogvKAmT3VS5hVuQgpXEffs2UNTggiEVKKjo4mUlBQ/qOERiaioKDJnzhySl5dH0tLSiIODAzlw4AAhhJAFCxaQkJAQMnDgQLJhwwZCCCFpaWmkR48eJCcnh5w8efK3KWsRERFk/fr15Pr160RSUpJjROfm5gptI4Q3tquaFStWkJkzZ9KZ8GfPnpEZM2aQhg0bkps3bxJCCLlz5w6ZMWMGadq0Kdm4cWM133HNgO058ObNG9KpUyeyefNmUlBQQC5cuECCgoJIaGgomTlzJiGkcPU7PT2dKCkpkTZt2pBatWqJZagJDw8PD0/lIgj7mjdvHjl06BDp3bs3Wbp0KRkyZAgV1FRSUiJ37twhxsbGfD/BU6GUqzTxQio8FUVkZCQZM2YM2bJlCzE0NCT79+8n06ZNI6tWrSJjxowhEydOJMnJyWTVqlUkMzOTEFIo3Pf161dy584dIiEhIZZGaXGuxbm5ueT169ckNzeX1K5dm05M5eXlkePHj5MWLVoQMzMzzjHi9lx/GkXLzs2bN8mIESOIg4MDIYQQIyMjoqGhQfr06UPGjBlDVq1aRczNzcnixYtJq1atquu2axyCurRkyRLy77//EgcHB2JiYkIIIURLS4vUrl2b+Pv7k4KCAjJ79mzSsWNHzvF8zDEPDw9PzYQX1OSpTipkFN+0aVPSunVr0qJFC5qfji+kPKXl6NGjZMSIEeTIkSPk77//Jvr6+sTHx4dISkqSr1+/0v0WL15MIiIiSKNGjYikpCRxd3cnd+/eJVJSUiQvL0/sjNL8/HxqIPz48YNu9/T0JGpqamTUqFHk69evHMXy6dOnkwcPHlTL/dZU2C7KZ86cIT9+/CCfP38mcXFxdJ9atWoRS0tL4uPjQx4/fkyzL2hpaVE1fJ6qISMjg3z48IHs37+fxMfH0+0NGzYk/fr1IytWrCCLFi0iEyZMEDpW3NoIHh4eHp6KpaT+WCCo2bNnz2IFNb99+8YLavJUGpVSmvhBDU9pyc3NJXfu3CEqKirk2rVrxNXVlRBCyOzZs0leXh65dOkSCQwMJABIQEAA6d27Nxk4cCDnHOKoBl1QUEAN6enTp5P4+Hiira1NevXqRVq1akWGDh1Ktm3bRrp06ULGjBlDkpOTyZo1a4impibp169fNd99zYHtgTB16lSyf/9+cvDgQeLp6Ul27NhBTp48ScskIYRoaGiQ8+fPk5ycHE7HzLd5lUdR74OGDRsSf39/0qBBAzJr1iwSERFBRowYQX/r378/ycjIIMeOHePF63h4eHhqED8T1JwyZQq5fPkyuXnzJjE1NSWJiYlUUDMlJYWEhIRU893z/MmUK4abh6ciSEpKIps2bSJbt24lfn5+5NmzZ+Tx48dkxowZRFFRkVy4cIEcPHiQfP36laSmppKtW7eKdbo5doPft29fcu7cOeLs7EwOHDhA2rRpQ0JDQ4m9vT05evQoWbduHbl69SrR1tYmxsbGJDw8XOgcPJXPgwcPSGhoKAkKCiL29vbk9evXpFevXkRBQYH07duX+Pr6kpSUFNKjRw8iJydHduzYwRtyVQC7Hjx79ox8+fKF6OjokMaNG5MfP36QGTNmkNWrV5PFixeTYcOG0eOys7NJnTp1CMMwvNHNw8PDUwNgt/UlCWqmp6cTFxcX8vHjR46g5oULF3jtKZ5KhTe4ecSC5ORksn79erJhwwaSnJxMXr9+TeTl5Tn7xMTEkAcPHpAJEyaI3Yp2cVy9epWsXLmSzJ8/n7Rs2ZK8evWK9O7dmzRs2JCEhITQvNoJCQlERkaGdgy8sV21hIeHk927d5P8/Hyyf/9+oqCgQAgh5NGjR8Tf358kJiaS1NRU0qxZM5Kfn09u375NpKSkeEOukmG/37CwMHLgwAGSkpJCVFVViYWFBZkxYwaRkJAgy5YtI6tWrSKLFy8mQ4YMKfEcPDw8PDx/JrygJo+4wxvcPGKDwOjeunUr6dKlC5kzZw4hhAi57xIi/mIWEydOJCdOnCBycnLk2LFjpF69eoQQQp48eUIGDhxImjRpQkaPHk08PT05x/EGQuVTdELj7NmzZMCAASQpKYlER0cTDw8P+tvHjx/Jf//9R65cuUKUlZWJn58fFbgT5/L3J7FkyRKycOFCsnPnTuLk5ET69OlDTpw4QQ4dOkRsbW3Jx48fyZo1a8icOXPIgQMHSKdOnar7lnl4eHh4qgGBoGaTJk3IypUrCSGFuh+bN28m/v7+ZNKkSWT27NlCx/ELHTyVDT9i5BEbmjZtSleotm3bRgoKCsi8efNInTp1hNx8xN3Y8fT0JPv37yefP38mN2/epGrXurq6JCoqigwaNIjMmDGDNG/enBgZGdHjeGO7cmF3qvHx8aROnTrEycmJnDt3jri4uJCIiAiioKBALCwsCCGFqQ6VlJSIlZUVPYc4agb8iRQUFJCsrCxy/vx5Mn36dOLk5ERiYmLIoUOHyOLFi4mtrS3Jzc0l8vLyZPTo0aR58+ZCE1g8PDw8PDUDtqCmvb093S4Q1CSEkAkTJpDMzEyydOlSzrG8sc1T2fAljKdaKMmxQmB09+nThxw7doyMHDmSEELEOqamOEVMe3t7smPHDlKvXj2yZs0acvv2bfqbjo4OiYyMJF5eXhxjm6dyYauRT5o0iXh7exNTU1Nib29P4uLiyOnTp8njx4/JwoULyZ07dzjHsRHnsvi7w37XtWrVIg0aNCAZGRmkbdu25NSpU6R79+5k0aJFZOjQoSQ3N5ds3ryZXLt2jSgqKpKhQ4cSSUlJkpeXV41PwMPDw8NTFRQdewkENQMCAsiJEydIREQE57f+/fuTmTNnktu3b5c4BuXhqSx4l3KeKuFn7jrFuVEnJyeTpUuXknfv3pGtW7eK7cove+U9Li6OfP36lVhZWRFJSUlSu3ZtcvnyZdKvXz9iYWFBgoODaX5HNrwbeeXDLn+7du0i48ePJ2vXriWpqank4cOHZOnSpSQqKorY2dmRjh07EisrKzJ27FhiY2NTzXdec2DXg127dpHPnz+T0aNHk86dO5MnT56Qjx8/kqVLl9IsBYmJiaRPnz6kV69eZNCgQdV56zw8PDw8VQgvqMnzu8Eb3DyVTlFj59GjR0RCQoJYW1sTd3f3Eo9LTU0ljRs3FtuGkf1cPXr0IHFxceTNmzfEzMyM9O7dm/To0YM0atSIXL58mQwcOJCYmZkRf39/0qZNm2q+85rL+fPnyfbt24menh4ZP348IYSQ9PR0EhUVRSZOnEjOnDlD6tWrR+zs7EhgYCCZMWNGNd9xzYBdlx49ekT69OlDCClM1aalpUUGDBhAsrKySFxcHMnJySFZWVmkZ8+eJCMjg5w7d473OuDh4eGpIfCCmjy/I7xLOU+lIxhIBwcHk+DgYPLixQuSmJhIPD09yfr160s8rkmTJmJrbBPyv+fq168fefToEdm+fTvJyMggmZmZZMWKFSQiIoKkpaUROzs7smnTJnL06FFy9+7dar7rmsvHjx/J4MGDye7du0lmZibdLi0tTfr06UM6duxIduzYQUxNTcmVK1fI1KlTq/FuaxaCuhQUFESmTZtG6tWrR968eUMmTZpELl68SMaPH09SUlKItrY2cXJyIp6enuTjx4/kzJkzREJCguTn51fzE/Dw8PDwVAWC8eCSJUvIhg0byOrVq8mHDx+Ijo4O2bdvH4mPjydycnJk9OjRZOzYsWTYsGHk0KFDxZ6Dh6eq4JV/eKqEI0eOkJ07d5K9e/cSGxsbsmfPHrJx48ZSCVWIW8PIXo07e/YsiY+PJzt27CAGBgYkIiKCvHz5krRp04ZEREQQSUlJMmTIEGJnZ0fu3r1LtLS0qvnuay5KSkpk//79pEuXLmT//v3Ew8ODmJqaEkIIkZGRIU2bNiXx8fGEEEJMTEwIIYTPyVmF/PPPP2TDhg3kzJkzRF1dneTk5JC+ffuSXbt2kX79+pFr166RrVu3kh8/fhAVFRXSv39/XjGeh4eHp4bBC2ry/I7wK9w8VcKbN2+ItbU1sbGxIfv37/+/9u48usY7j+P4+yZuRGIJtSQZiVhaUXsidJRj7NIjre3EKBESIbRjtLZYJoaKJR3GdkSESKhStcRWW5wOtVQllDIaxahQcZBYEsu9Se784eROUq1pSSTi8zon57jPc5/H13XO5fP8fr/vj+DgYJYsWUJwcDB37tzh5MmTxV3ir8q/6iI7O7vAQwIvLy9Gjx5No0aNiI+PZ9q0aWzatIkdO3ZQsWJFli1bxqxZs7h//741bP9SkzV5Ppo0acLGjRvJyclh3rx5fPvtt8CjaeVnzpzB3d29wPsVtp+fc+fO0ahRI5o1a0alSpVwdnYmNjaW+/fvExERwddff82ECRMIDw8nKCjIOrKtsC0iUrqpoaa86BS4pdD9UqB0cHDAzs6ONWvWEBgYaP1iBEhMTCQmJoabN28+71J/k7wR9tWrV5OamgrAW2+9RWRkJE5OTnTr1g2TycS6desYNWoU7du3Jzc3Fw8PD+zs7KhQoYJ1H27Q9hPFrUmTJqxYsYKkpCR8fX3x8/Nj0KBB3L9/n0WLFgG/3kVfCl/eZ122bFkePHiAyWTCxsYGs9lMzZo1mTVrFlevXmXx4sWsXbu2wLV6ICIiUrr9vKFm3r/TTk5O+Pv74+/vz/z5863N0a5fv86aNWs4e/Zsgfvo4awUJ/3PXwpV/unWO3fu5MSJE2RnZ+Ph4cGRI0cICgpi+vTphIaGApCVlcWyZcuwWCxUqVKlOEv/VRaLhYyMDAYNGkRISAjt27fnwoUL1iYcDg4OZGdnk56eTmZmJvBoP0gbGxuWLl3KhAkTrPeRkqF58+Z89tlnlCtXjtu3b9O5c2eOHTuGnZ0dZrO5xC1jKM3yPusePXpw/PhxZs+eDYDRaATAZDLh6+uLwWBg+fLlmEwm/f2IiLwEcnNzrd/3p0+fJjIyktjYWBISEoiIiKBSpUq4u7sTFBTEw4cPuXXrFiEhIWRnZzNo0KDiLV4kHwVuKTQ/3+d42LBhHD9+nHv37tGxY0cGDRqEyWTCbDZz4MABvv76a3r16sXVq1eZN2+etUFaSVS5cmWuX7/OwYMHSU5OJi4ujsqVK1vP29nZUa9ePbZv306PHj3w9vbGbDbTqlUrQB0xS6JGjRqxceNGTCYTx44ds67fzgt68nw1btyYZcuWERERwbhx40hOTubChQssXLgQLy8vFi1axN69e9m/f39xlyoiIs+BGmpKaaFtwaTQzZs3j5kzZ5KQkEDTpk1xcHCwnhs3bhx79+7l5MmT+Pj4ULFiRbZu3YrRaCyRDaryRuyzs7M5efIkgYGBpKWl4eXlxbx582jQoIH1vZmZmUydOpX09HSqV6/OzJkzAYXtku748eOEhoZSp04dpkyZgqenZ3GX9FLbsGEDI0aMwM7ODovFQvXq1Tl06BDXrl2jc+fOrF+/niZNmhR3mSIi8hzExcXxwQcfPNZQ02QyERgYSOfOndVQU0o8BW4pVLm5ufTs2ZNmzZoV2MPYbDZbRw6vXbvGlStXqFatGjVr1sRgMJTIL8b8DwC2b99Ohw4dKFeuHDdv3qRhw4Y0bNiQRYsW4enp+auBOv8Ueym5jh49ytixY1mzZg0uLi7FXc5L78qVK6SmpmI2m3nzzTexsbFhwoQJJCQk8OWXX+Ls7FzcJYqIyHMwefJk9u3bx759+4BHo96XL1+md+/e3Lx5k1mzZtGnTx/gfwMcJXEAR15uSgJSaCwWC1lZWZw8eZKqVasCWKfzGI1GHjx4wJkzZ3jllVfw8vLCzc0Ng8FAbm5uiQvbubm51i9rf39/Zs+ezdatW8nKyuKVV14hKSmJU6dOMWrUKL799ltu3LhBo0aNWLJkifUe+afYS8nm4+PDzp07FbZLiD/84Q+88cYbtG3bljNnzjBw4EBiYmJYs2aNwraIyEtADTWlNFEakKf2827kBoOBChUq4O3tzaeffkpGRkaBNTQpKSnExsaSlpZW4LqSGErzaurXrx+nTp0iJiaGd955B0dHR3JycqhZsyZHjx7lzJkzBAQE0KxZM2rVqmVtBgclb/9weTJ7e/viLkF+Jjs7G5PJRPXq1dm3b591f3QRESnd1FBTShNNKZenkn+q9NmzZ8nNzbWufd2yZQvTpk2jcePGLFy4kPLly5OZmcmf//xnHjx4wO7du0tcyL5z5w6JiYn4+flZv8wPHz7MkCFD2LJlC3Xr1iU1NZXTp0+za9cuOnTogJ+fH2lpaWzbto2yZcsSEBAAaBq5SGHLvyRFREReLnFxcQwdOpRRo0bRt29fKleuzMiRI2ndujU9e/akYcOG7N69m06dOhV3qSK/SIFbnsn48ePZtGkTqamp9O7dm5EjR9KyZUuio6NZvnw5V65coX79+qSnp2OxWEhKSsJoNJa4UDpp0iR++OEH1q1bZz125swZfH19mT59OuXKlWP9+vUkJyfj4uLCV1999Ytf7iXtzyUiIiLyolNDTXmRKXDL75I/UK5fv56wsDD+8Y9/YDabmTZtGq6urkycOJF27dqRkpLChg0buHv3Li4uLowYMYIyZcqUyAZp+R0+fJhmzZpx9+5dxo4dy5EjR0hLS2P06NF07NgRHx8f2rZty+DBgxk2bFhxlysiIiJS6qmhpryoFLjlqezdu5fdu3fj4eHB8OHDgUcjwkOGDMHR0ZGxY8fSuXPnx64riZ0j86arWiwWVq5cyeDBg4mPjycgIIAbN27w008/4eTkhLu7OwBpaWm0b9+eqVOn4u/vX8zVi4iIiLxcTp8+zezZs/niiy9ITExUjw8p0TT3VX4Xi8XC5cuX6dOnDx9//DGXLl2ynmvQoAHLly8nKyuLefPmsWHDhseuLwlh++fPmPLWhhoMBgIDAxk6dCihoaGsWrWK8uXL06RJE9zd3blx4waHDx+mS5cueHp6KmyLiIiIPGdqqCkvGo1wy1NJSkpiwIAB1KhRg8jISFq1amU9l5KSQvfu3Xn77beZM2dOMVb5uLw9GuHR1PGTJ0+yf/9+mjZtire3Nx07dgRg2LBhrFy5kpiYGHr37o2dnR3z589n+/btuLq6smrVKkBrtkVERESKgxpqyotCgVue6EmB8tChQwQEBODj48OYMWNo0aKF9dyPP/5IzZo1S8SIdp78YXv69Ols3bqVhw8fUrFiRZKSknB1daVfv3589NFHwKPQvWrVKmJiYujfvz+XL1/m3Llz/OlPfwIUtkVERERE5MkUuOVX5Q+UsbGxnD17llu3bhEUFETDhg1xdHTkwIEDBAYG4uPjw9ixY/H29i5wj5KyZjt/2P7www/59NNPWb58Oc2bN8fV1ZXjx48zY8YM9u/fz5AhQ4iIiADgvffeIzY2lvnz5zN06NBfvJ+IiIiIiMgvUeCW/yssLIzY2Fh69uzJqVOnMJlMvPvuuwQHB1OxYkUOHDhAUFAQHh4eLFiwwLofd0k0fvx4YmJiOHz4MPXr1wf+F57Pnz/PxIkT+eabb1i8eDG+vr4A9O/fH3t7e5YvX16cpYuIiIiIyAum5O7NJCVCTEwMa9euZefOnXh5ebFz507eeustTCYTZrOZ4cOH06ZNG6KiooiOjua1114r7pJ/1Z49e1iwYAHBwcHWsJ1/FL9u3bpMnjyZNm3acOjQIWvgXr16dbHVLCIiIiIiLy4tQJUCfj7h4fbt2/zlL3/By8uLjRs30q9fPxYsWEDjxo2ZO3cu0dHRZGRk0LFjR9atW4eNjQ25ubnFVP2TNWrUiKCgIE6cOMGsWbMACtSbk5ND48aN6dq1K0ePHsVisWA2m63XazKIiIiIiIj8HgrcYnXr1i3ruuSEhAQA/P39GTBgABcvXmTKlCmEh4fz/vvvM2XKFEwmE1FRUWzduhX4XyAtqY3EXFxc+Nvf/kazZs1ISEhg9uzZwKN689aa37lzh8uXL9OiRQsMBkOB7pdasy0iIiIiIr9HyUxG8txt3ryZt99+m/T0dD744AMGDhzItWvXcHd3p0aNGqSkpJCTk4Ofnx8AaWlp+Pr6EhISwoABA4AXI5A6OzszadIkfHx82LRpkzV05zV2O3fuHDY2NgW2ORMREREREXkaWsMtALRo0YITJ07QsmVLbty4wYEDB6hRo4Z15PfevXvk5ORw5MgRbG1t+fjjj/Hw8CAsLAwoOd3If4u80B0REcGmTZuwWCyEhYVx//59Bg0aRLNmzawPFkRERERERJ6WupQL2dnZlClThvfee4+oqChatmzJhg0bcHV1tY5a37t3j759+/Ldd99hNptxcXHh8OHDGI3GF3aLrLS0NCIiIjh27BidOnViw4YNuLm5sWPHDkBbf4mIiIiIyLNR4H6J5e/QDbB7924MBgMBAQE0bNiQxYsXU79+fev77t+/z4kTJ0hPT6dr167Y2tpaw/qLKi0tjRkzZrB06VK6dOnCli1bgMc/GxERERERkd9LgfsllT9QLlq0iJs3bzJs2DCcnZ1JTU3Fx8eH119/nejoaF599VUA4uPjCQwMtN7jRZpG/iRXr15l79691rXoCtsiIiIiIlIYFLhfQvmnSo8bN46VK1cSGRlJu3btqFWrFgCXLl2iZcuWeHp6EhISwpo1a/j+++85e/ZsqQ6jCtsiIiIiIlJYFLhfIiaTCTs7O+vrFStWMHnyZLZs2YK3t7f1+E8//YSrqyupqam888472NnZYW9vz549ezAajQqlIiIiIiIiv4FS00uiffv27Nmzp8Cx06dP07p1a7y9vUlJSSE6OhovLy/atm1LfHw8bm5u7N+/n3Xr1vHll19iNBrJzs5W2BYREREREfkNXtxuV/K7dO7cmU6dOgFgNpsxGo24urqyfft2hg8fzpEjR6hbty5dunQhJyeHESNG0KFDB9zc3ChfvjzwaLr1i9wgTURERERE5HlSeirl8tZrT5w4EYBZs2ZRtWpVhgwZgp+fHxkZGSQmJhIUFESnTp3w9PQkMTGRb775BkdHxwL30si2iIiIiIjIb6c13KVY/rXWecF7wIABrF27lvj4ePr37w882mPbwcEBi8WC2WymV69eAGzdulX7UIuIiIiIiDwljXCXYjk5OTx8+JD09HSqV6+O0Wjkk08+oUKFCgQHB2OxWOjTpw8ODg5kZmaya9cuoqKiuHHjBkePHsVgMKhBmoiIiIiIyFNS4C6ldu/eTUJCAtu2bePu3bu8+eab+Pn5MWzYMKKiosjNzSUkJAQAf39/bt26xbFjx3jttdfYuXMnZcqUITs7W2u2RUREREREnpKmlJdCsbGxhIeH07dvX2rUqIGTkxMLFy7k5s2bDBgwgMjISABCQ0NZtWoVS5cupX///ty9e5fy5ctjMBjIycnB1ta2mP8kIiIiIiIiLy4NX5Yy0dHRjBw5kvj4eHr37o3RaAQebQsWERHBypUrqVq1KuPGjWPJkiUYjUYCAgKoWrUqXbt2BR6t91bYFhEREREReTYa4S5FEhIS6NWrF5s3b8bPz886JTxvtPr8+fMMGTKErKwsPv/8c2rVqgXAnDlz+Otf/6rp4yIiIiIiIoVI3bBKiYcPH7Jr1y7q1KnDjz/+CFAgbFssFurWrcuECRNITk4mNTXVeu3o0aOta7ZFRERERESkcGhIs5QoW7Ys4eHhlC1blk8++YSsrCzGjx+Pra0tubm51u29PDw8sLOzIysr67F7aIRbRERERESk8GiEuxRxcXEhLCwMHx8fNm3axOzZswGwsbEhJycHgO+++w5vb29ef/314ixVRERERESk1FPgLmWcnZ2ZNGnSY6G7TJky3L17l9jYWDw9PalZs2YxVyoiIiIiIlK6qWlaKZWWlkZERARHjx6lT58+jBkzhh49enDx4kWSkpIoU6YMFovFOtVcRERERERECpcCdymWlpbGjBkzSE5O5ty5czg5OXHq1CmMRqP22RYRERERESliCtylXFpaGuPHj+f69ets3rwZo9Fo3S5MREREREREio4C90sgIyODSpUqYWNjo7AtIiIiIiLynChwv0Ryc3OxsVGfPBERERERkedBgVtERERERESkCGi4U0RERERERKQIKHCLiIiIiIiIFAEFbhEREREREZEioMAtIiIiIiIiUgQUuEVERERERESKgAK3iIiIiIiISBFQ4BYREREREREpAgrcIiIi8rsNGjQIg8Hw2M+5c+ee+d5xcXE4OTk9e5EiIiLFrExxFyAiIiIvpm7durFixYoCx6pVq1ZM1fwys9mM0Wgs7jJEROQlpRFuEREReSply5bF2dm5wI+trS2bN2/Gy8sLe3t76tSpw9SpU8nOzrZeN3fuXBo3boyjoyNubm6MGDGCzMxMAP71r38xePBgbt++bR01//vf/w6AwWAgISGhQA1OTk7ExcUBcPHiRQwGA5999hnt2rXD3t6e1atXA7Bs2TIaNGiAvb09np6eLF682HoPk8nE+++/j4uLC/b29tSqVYuZM2cW3QcnIiIvDY1wi4iISKH56quvGDhwIAsWLKBt27acP3+eoUOHAjBlyhQAbGxsWLBgAbVr1+bChQuMGDGCcePGsXjxYlq3bs28efMIDw8nJSUFgPLly/+uGsLCwpgzZw7Nmze3hu7w8HAWLVpE8+bNOX78OCEhITg6OhIYGMiCBQvYsmUL69atw93dndTUVFJTUwv3gxERkZeSAreIiIg8lW3bthUIw76+vmRkZBAWFkZgYCAAderU4aOPPmLcuHHWwD1q1CjrNR4eHkyfPp3Q0FAWL16MnZ0dlSpVwmAw4Ozs/FR1jRo1il69ellfT5kyhTlz5liP1a5dm3//+99ER0cTGBjIpUuXePXVV2nTpg0Gg4FatWo91e8rIiLycwrcIiIi8lTat29PVFSU9bWjoyNNmjTh4MGDREREWI/n5OTw4MED7t27h4ODA4mJicycOZPvv/+eO3fukJ2dXeD8s2rRooX111lZWZw/f57g4GBCQkKsx7Ozs6lUqRLwqAFc586dqV+/Pt26daN79+506dLlmesQERFR4BYREZGn4ujoSL169Qocy8zMZOrUqQVGmPPY29tz8eJFunfvzvDhw4mIiKBKlSocOHCA4OBgTCbTEwO3wWDAYrEUOGY2m3+xrvz1AMTExNCqVasC77O1tQXAy8uL//znP+zYsYPExET8/f3p1KkT69ev/z+fgIiIyJMpcIuIiEih8fLyIiUl5bEgnic5OZnc3FzmzJmDjc2j3q3r1q0r8B47OztycnIeu7ZatWpcvXrV+vqHH37g3r17T6ynRo0auLq6cuHCBfr37/+r76tYsSJ9+/alb9++9OnTh27dupGenk6VKlWeeH8REZEnUeAWERGRQhMeHk737t1xd3enT58+2NjYcOLECU6dOsX06dOpV68eZrOZhQsX4ufnx8GDB1myZEmBe3h4eJCZmcnevXtp2rQpDg4OODg40KFDBxYtWsQf//hHcnJyGD9+/G/a8mvq1KmMHDmSSpUq0a1bNx4+fEhSUhIZGRl8+OGHzJ07FxcXF5o3b46NjQ2ff/45zs7O2gtcRESembYFExERkULTtWtXtm3bxu7du/Hx8eGNN97gn//8p7URWdOmTZk7dy6zZ8+mUaNGrF69+rEtuFq3bk1oaCh9+/alWrVqREZGAjBnzhzc3Nxo27Yt7777LmPGjPlNa76HDBnCsmXLWLFiBY0bN6Zdu3bExcVRu3ZtACpUqEBkZCQtWrTAx8eHixcv8sUXX1hH4EVERJ6WwfLzxVAiIiIiIiIi8sz06FZERERERESkCChwi4iIiIiIiBQBBW4RERERERGRIqDALSIiIiIiIlIEFLhFREREREREioACt4iIiIiIiEgRUOAWERERERERKQIK3CIiIiIiIiJFQIFbREREREREpAgocIuIiIiIiIgUAQVuERERERERkSKgwC0iIiIiIiJSBP4LfjEXsNydRd8AAAAASUVORK5CYII=", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import pandas as pd\n", "import numpy as np\n", "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "\n", "df_corr = dataset[columns_to_keep].copy()\n", "\n", "bool_cols = df_corr.select_dtypes(include='bool').columns\n", "df_corr[bool_cols] = df_corr[bool_cols].astype(int)\n", "\n", "df_corr_numeric = df_corr.select_dtypes(include=[np.number])\n", "\n", "plt.figure(figsize=(20, 10))\n", "sns.heatmap(df_corr_numeric.corr(), annot=False, \n", " cmap=\"coolwarm\", center=0, square=True)\n", "plt.title(\"Full Correlation Matrix\")\n", "plt.tight_layout()\n", "plt.show()\n", "\n", "correlations = df_corr_numeric.corr()['Hired'].drop('Hired').sort_values()\n", "\n", "plt.figure(figsize=(10, 6))\n", "sns.stripplot(y=correlations.values, x=correlations.index, color='darkgreen', size=10)\n", "plt.axhline(0, color='gray', linestyle='--')\n", "plt.title(\"Feature Correlations with 'Hired'\")\n", "plt.ylabel(\"Correlation Coefficient\")\n", "plt.xlabel(\"Features\")\n", "plt.xticks(rotation=45, ha='right')\n", "plt.grid(True, axis='y', linestyle='--', alpha=0.5)\n", "plt.tight_layout()\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": 13, "id": "318cfae5", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Hiring Rate by Sex:\n", "Sex\n", "Female 0.073779\n", "Male 0.047324\n", "Name: Hired, dtype: float64\n", "Hiring Rate by European Residence:\n", "European Residence\n", "False 0.011364\n", "True 0.053534\n", "Name: Hired, dtype: float64\n", "Hiring Rate by Italian Residence:\n", "Italian Residence\n", "False 0.018293\n", "True 0.054677\n", "Name: Hired, dtype: float64\n", "\n", "Hiring Rate by Age Range:\n", "Age Range\n", "20 - 25 years 0.033821\n", "26 - 30 years 0.050131\n", "31 - 35 years 0.077047\n", "36 - 40 years 0.081040\n", "40 - 45 years 0.078199\n", "< 20 years 0.030227\n", "> 45 years 0.060475\n", "Name: Hired, dtype: float64\n", "\n", "Hiring Rate by Protected Category:\n", "Protected category\n", "False 0.052784\n", "True 0.051282\n", "Name: Hired, dtype: float64\n" ] }, { "data": { "image/png": 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", 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", 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", 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", 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "print(\"Hiring Rate by Sex:\")\n", "distribution_by_sex = dataset.groupby('Sex')['Hired'].mean()\n", "print(distribution_by_sex)\n", "\n", "print(\"Hiring Rate by European Residence:\")\n", "distribution_by_eu_residence = dataset.groupby('European Residence')['Hired'].mean()\n", "print(distribution_by_eu_residence)\n", "\n", "print(\"Hiring Rate by Italian Residence:\")\n", "distribution_by_it_residence = dataset.groupby('Italian Residence')['Hired'].mean()\n", "print(distribution_by_it_residence)\n", "\n", "print(\"\\nHiring Rate by Age Range:\")\n", "distribution_by_age = dataset.groupby('Age Range')['Hired'].mean()\n", "print(distribution_by_age)\n", "\n", "print(\"\\nHiring Rate by Protected Category:\")\n", "distribution_by_category = dataset.groupby('Protected category')['Hired'].mean()\n", "print(distribution_by_category)\n", "\n", "sns.barplot(x='Sex', y='Hired', data=dataset, estimator=np.mean, palette='Set2')\n", "plt.title(\"Hiring Rate by Sex\")\n", "plt.ylim(0, 1.2 * max(distribution_by_sex))\n", "plt.ylabel(\"Proportion Hired\")\n", "plt.show()\n", "\n", "sns.barplot(x='European Residence', y='Hired', data=dataset, estimator=np.mean, palette='Set2')\n", "plt.title(\"Hiring Rate by European Residence\")\n", "plt.ylim(0, 1.2 * max(distribution_by_eu_residence))\n", "plt.ylabel(\"Proportion Hired\")\n", "plt.show()\n", "\n", "sns.barplot(x='Italian Residence', y='Hired', data=dataset, estimator=np.mean, palette='Set2')\n", "plt.title(\"Hiring Rate by Italian Residence\")\n", "plt.ylim(0, 1.2 * max(distribution_by_it_residence))\n", "plt.ylabel(\"Proportion Hired\")\n", "plt.show()\n", "\n", "sns.barplot(x='Age Range', y='Hired', data=dataset, estimator=np.mean, palette='Set3')\n", "plt.title(\"Hiring Rate by Age Range\")\n", "plt.ylim(0, 1.3 * max(distribution_by_age))\n", "plt.xticks(rotation=45)\n", "plt.ylabel(\"Proportion Hired\")\n", "plt.show()\n", "\n", "sns.barplot(x='Protected category', y='Hired', data=dataset, estimator=np.mean, palette='Set1')\n", "plt.title(\"Hiring Rate by Protected Category\")\n", "plt.ylim(0, 1.2 * max(distribution_by_category))\n", "plt.ylabel(\"Proportion Hired\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 14, "id": "4070c4ef", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Hiring Rate and Count by Sex:\n", " Hiring Rate Number of Candidates\n", "Sex \n", "Female 0.073779 2006\n", "Male 0.047324 7734\n", "\n", "Hiring Rate and Count by European Residence:\n", " Hiring Rate Number of Candidates\n", "European Residence \n", "False 0.011364 176\n", "True 0.053534 9564\n", "\n", "Hiring Rate and Count by Italian Residence:\n", " Hiring Rate Number of Candidates\n", "Italian Residence \n", "False 0.018293 492\n", "True 0.054677 9236\n", "\n", "Hiring Rate and Count by Age Range:\n", " Hiring Rate Number of Candidates\n", "Age Range \n", "20 - 25 years 0.033821 1094\n", "26 - 30 years 0.050131 3810\n", "31 - 35 years 0.077047 1246\n", "36 - 40 years 0.081040 654\n", "40 - 45 years 0.078199 422\n", "< 20 years 0.030227 1588\n", "> 45 years 0.060475 926\n", "\n", "Hiring Rate and Count by Protected Category:\n", " Hiring Rate Number of Candidates\n", "Protected category \n", "False 0.052784 9662\n", "True 0.051282 78\n" ] } ], "source": [ "summary_sex = dataset.groupby('Sex')['Hired'].agg(['mean', 'count']).rename(columns={'mean': 'Hiring Rate', 'count': 'Number of Candidates'})\n", "print(\"\\nHiring Rate and Count by Sex:\\n\", summary_sex)\n", "\n", "summary_eu_residence = dataset.groupby('European Residence')['Hired'].agg(['mean', 'count']).rename(columns={'mean': 'Hiring Rate', 'count': 'Number of Candidates'})\n", "print(\"\\nHiring Rate and Count by European Residence:\\n\", summary_eu_residence)\n", "\n", "summary_it_residence = dataset.groupby('Italian Residence')['Hired'].agg(['mean', 'count']).rename(columns={'mean': 'Hiring Rate', 'count': 'Number of Candidates'})\n", "print(\"\\nHiring Rate and Count by Italian Residence:\\n\", summary_it_residence)\n", "\n", "summary_age = dataset.groupby('Age Range')['Hired'].agg(['mean', 'count']).rename(columns={'mean': 'Hiring Rate', 'count': 'Number of Candidates'}).sort_index()\n", "print(\"\\nHiring Rate and Count by Age Range:\\n\", summary_age)\n", "\n", "summary_protected = dataset.groupby('Protected category')['Hired'].agg(['mean', 'count']).rename(columns={'mean': 'Hiring Rate', 'count': 'Number of Candidates'})\n", "print(\"\\nHiring Rate and Count by Protected Category:\\n\", summary_protected)\n" ] }, { "cell_type": "code", "execution_count": 15, "id": "51ea788f", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Hiring Rate by Sex and Age Range:\n", "Age Range 20 - 25 years 26 - 30 years 31 - 35 years 36 - 40 years \\\n", "Sex \n", "Female 0.030612 0.068235 0.133588 0.101449 \n", "Male 0.035000 0.044932 0.061992 0.075581 \n", "\n", "Age Range 40 - 45 years < 20 years > 45 years \n", "Sex \n", "Female 0.134615 0.038690 0.162162 \n", "Male 0.070270 0.027955 0.051643 \n" ] }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "intersection = dataset.groupby(['Sex', 'Age Range'])['Hired'].mean().unstack()\n", "print(\"\\nHiring Rate by Sex and Age Range:\")\n", "print(intersection)\n", "\n", "sns.heatmap(intersection, annot=True, cmap='Blues', fmt=\".2f\")\n", "plt.title(\"Hiring Rates by Sex and Age Range\")\n", "plt.ylabel(\"Sex\")\n", "plt.xlabel(\"Age Range\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 16, "id": "47da99e2", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Disparate Impact Ratio (Female vs Male): 1.559\n" ] } ], "source": [ "p_selected_female = dataset[dataset['Sex'] == 'Female']['Hired'].mean()\n", "p_selected_male = dataset[dataset['Sex'] == 'Male']['Hired'].mean()\n", "\n", "disparate_impact = p_selected_female / p_selected_male\n", "print(\"\\nDisparate Impact Ratio (Female vs Male):\", round(disparate_impact, 3))" ] }, { "cell_type": "markdown", "id": "e1f5ac92", "metadata": {}, "source": [ "**Analysis of Hiring Rates**\n", "\n", "**1. Gender (Sex)**\n", "Females are hired at a significantly higher rate than males, suggesting a possible organizational emphasis on gender diversity or a potential bias favoring female candidates.\n", "\n", "**2. Age Range**\n", "Hiring rates increase with age, peaking between 31–45 years, indicating a clear preference for mid-career professionals with more experience. Younger candidates, especially under 26, face notably lower hiring chances.\n", "\n", "**3. European Residence**\n", "Candidates residing in Europe are far more likely to be hired, which may reflect logistical preferences, legal work eligibility, or alignment with company locations and operations.\n", "\n", "**4. Italian Residence**\n", "There is a strong hiring bias toward candidates living in Italy. This suggests the organization prefers local hires, potentially to reduce relocation costs or due to legal/employment constraints.\n", "\n", "**5. Protected Category**\n", "No meaningful difference in hiring rates between protected and non-protected groups was found. However, due to the very small sample of protected category candidates, no reliable conclusion can be drawn." ] }, { "cell_type": "markdown", "id": "4d849f2a", "metadata": {}, "source": [ "### Drop Nan Values" ] }, { "cell_type": "code", "execution_count": 17, "id": "af77ab3d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Column | Rows Before | Rows After | Hired Before | Hired After | % Hired Before | % Hired After\n", "---------------------------------------------------------------------------------------------------------\n", "Sex_int | 9740 | 9740 | 514 | 514 | 5.28 | 5.28 \n", "Protected category | 9740 | 9740 | 514 | 514 | 5.28 | 5.28 \n", "Overall | 9740 | 4410 | 514 | 509 | 5.28 | 11.54 \n", "Technical Skills | 9740 | 4398 | 514 | 509 | 5.28 | 11.57 \n", "Standing/Position | 9740 | 4398 | 514 | 509 | 5.28 | 11.57 \n", "Comunication | 9740 | 4398 | 514 | 509 | 5.28 | 11.57 \n", "Maturity | 9740 | 4398 | 514 | 509 | 5.28 | 11.57 \n", "Dynamism | 9740 | 4396 | 514 | 509 | 5.28 | 11.58 \n", "Mobility | 9740 | 4396 | 514 | 509 | 5.28 | 11.58 \n", "English | 9740 | 4390 | 514 | 509 | 5.28 | 11.59 \n", "Hired | 9740 | 9740 | 514 | 514 | 5.28 | 5.28 \n", "Italian Residence | 9740 | 9728 | 514 | 514 | 5.28 | 5.28 \n", "European Residence | 9740 | 9740 | 514 | 514 | 5.28 | 5.28 \n", "Age Range_int | 9740 | 9740 | 514 | 514 | 5.28 | 5.28 \n", "experience_match_score | 9740 | 9740 | 514 | 514 | 5.28 | 5.28 \n", "Years Experience_int | 9740 | 9740 | 514 | 514 | 5.28 | 5.28 \n", "Years Experience.1_int | 9740 | 9740 | 514 | 514 | 5.28 | 5.28 \n", "current_salary_fit_score | 9740 | 269 | 514 | 68 | 5.28 | 25.28 \n", "Current Ral | 9740 | 1280 | 514 | 133 | 5.28 | 10.39 \n", "Expected Ral | 9740 | 1144 | 514 | 149 | 5.28 | 13.02 \n", "Minimum Ral | 9740 | 1733 | 514 | 237 | 5.28 | 13.68 \n", "Ral Maximum | 9740 | 2526 | 514 | 310 | 5.28 | 12.27 \n", "expected_salary_fit_score | 9740 | 240 | 514 | 82 | 5.28 | 34.17 \n", "study_title_score | 9740 | 4725 | 514 | 438 | 5.28 | 9.27 \n", "Study Level_int | 9740 | 4725 | 514 | 438 | 5.28 | 9.27 \n", "Study Title_int | 9740 | 9740 | 514 | 514 | 5.28 | 5.28 \n", "professional_similarity_score | 9740 | 4425 | 514 | 471 | 5.28 | 10.64 \n", "study_area_score | 9740 | 4725 | 514 | 438 | 5.28 | 9.27 \n", "general_similarity_score | 9740 | 9740 | 514 | 514 | 5.28 | 5.28 \n", "general_similarity_score_tfidf | 9740 | 9740 | 514 | 514 | 5.28 | 5.28 \n", "general_similarity_score_cross | 9740 | 9740 | 514 | 514 | 5.28 | 5.28 \n", "number_of_searches | 9740 | 9735 | 514 | 509 | 5.28 | 5.23 \n", "Distance Residence - Akkodis HQ | 9740 | 4724 | 514 | 438 | 5.28 | 9.27 \n", "Distance Residence - Assumption HQ | 9740 | 4894 | 514 | 510 | 5.28 | 10.42 \n" ] } ], "source": [ "import pandas as pd\n", "\n", "df = dataset.copy()\n", "\n", "print(f\"{'Column':30} | {'Rows Before':10} | {'Rows After':10} | {'Hired Before':12} | {'Hired After':11} | {'% Hired Before':14} | {'% Hired After':13}\")\n", "print(\"-\" * 105)\n", "\n", "rows_before = len(df)\n", "hired_before = df['Hired'].sum()\n", "perc_hired_before = hired_before / rows_before * 100\n", "\n", "for col in columns_to_keep:\n", " df_dropped = df.dropna(subset=[col])\n", " \n", " rows_after = len(df_dropped)\n", " hired_after = df_dropped['Hired'].sum()\n", " \n", " perc_hired_after = hired_after / rows_after * 100 if rows_after > 0 else 0\n", " \n", " print(f\"{col:30} | {rows_before:<10} | {rows_after:<10} | {hired_before:<12} | {hired_after:<11} | {perc_hired_before:<14.2f} | {perc_hired_after:<13.2f}\")\n" ] }, { "cell_type": "code", "execution_count": 18, "id": "113a7ed7", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Original data shape: ((9740, 58), np.int64(514))\n", "Cleaned data shape: ((4425, 58), np.int64(471))\n" ] } ], "source": [ "df_cleaned = dataset.dropna(subset=[ 'professional_similarity_score', ])\n", "\n", "print(f\"Original data shape: {dataset.shape,(dataset['Hired']==True).sum()}\")\n", "print(f\"Cleaned data shape: {df_cleaned.shape,(df_cleaned['Hired']==True).sum()}\")\n" ] }, { "cell_type": "markdown", "id": "709696d6", "metadata": {}, "source": [ "#### Save Cleaned Dataset" ] }, { "cell_type": "code", "execution_count": 19, "id": "20678551", "metadata": {}, "outputs": [], "source": [ "df_cleaned.to_csv('cleaned_dataset.csv', index=False)" ] }, { "cell_type": "markdown", "id": "2dc543c4", "metadata": {}, "source": [ "## Training" ] }, { "cell_type": "markdown", "id": "528e5e07", "metadata": {}, "source": [ "#### Load Cleaned Dataset" ] }, { "cell_type": "code", "execution_count": 20, "id": "9f6f9827", "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "\n", "df_cleaned = pd.read_csv('cleaned_dataset.csv')" ] }, { "cell_type": "markdown", "id": "4fafa0d9", "metadata": {}, "source": [ "### Models Comparison" ] }, { "cell_type": "code", "execution_count": 62, "id": "2fc4d867", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Training Data Results:\n", "\n", "Results for Downsample Sampling (Training Data):\n", " Model F1 Score Accuracy Precision Recall\n", "HistGradientBoosting 1.000000 1.000000 1.000000 1.000000\n", " XGBoost 1.000000 1.000000 1.000000 1.000000\n", " LightGBM 1.000000 1.000000 1.000000 1.000000\n", " CatBoost 1.000000 1.000000 1.000000 1.000000\n", " Ensemble 1.000000 1.000000 1.000000 1.000000\n", " BalancedRF 1.000000 1.000000 1.000000 1.000000\n", " RandomForest 0.990777 0.990716 0.984293 0.997347\n", " LogisticRegression 0.780952 0.786472 0.801676 0.761273\n", "\n", "Results for Original Sampling (Training Data):\n", " Model F1 Score Accuracy Precision Recall\n", "HistGradientBoosting 1.000000 1.000000 1.000000 1.000000\n", " XGBoost 1.000000 1.000000 1.000000 1.000000\n", " Ensemble 0.998675 0.999718 0.997354 1.000000\n", " CatBoost 0.993412 0.998589 0.986911 1.000000\n", " LightGBM 0.979221 0.995485 0.959288 1.000000\n", " RandomForest 0.921569 0.981941 0.856492 0.997347\n", " BalancedRF 0.748759 0.928612 0.598413 1.000000\n", " LogisticRegression 0.462758 0.808691 0.329944 0.774536\n", "\n", "Results for Upsample Sampling (Training Data):\n", " Model F1 Score Accuracy Precision Recall\n", "HistGradientBoosting 1.000000 1.000000 1.000000 1.000000\n", " XGBoost 1.000000 1.000000 1.000000 1.000000\n", " BalancedRF 1.000000 1.000000 1.000000 1.000000\n", " Ensemble 1.000000 1.000000 1.000000 1.000000\n", " CatBoost 0.999841 0.999841 1.000000 0.999681\n", " LightGBM 0.999841 0.999841 1.000000 0.999681\n", " RandomForest 0.987222 0.987155 0.977812 0.996814\n", " LogisticRegression 0.775504 0.779099 0.784736 0.766486\n", "\n", "Test Data Results:\n", "\n", "Results for Downsample Sampling (Test Data):\n", " Model F1 Score Accuracy Precision Recall\n", " LightGBM 0.640000 0.888388 0.486188 0.936170\n", " CatBoost 0.634146 0.881623 0.471503 0.968085\n", "HistGradientBoosting 0.623656 0.881623 0.470270 0.925532\n", " Ensemble 0.619718 0.878241 0.463158 0.936170\n", " BalancedRF 0.605263 0.864713 0.438095 0.978723\n", " RandomForest 0.588608 0.853439 0.418919 0.989362\n", " XGBoost 0.582781 0.857948 0.423077 0.936170\n", " LogisticRegression 0.446541 0.801578 0.316964 0.755319\n", "\n", "Results for Original Sampling (Test Data):\n", " Model F1 Score Accuracy Precision Recall\n", " Ensemble 0.795812 0.956032 0.783505 0.808511\n", " CatBoost 0.793970 0.953777 0.752381 0.840426\n", "HistGradientBoosting 0.776471 0.957159 0.868421 0.702128\n", " XGBoost 0.774194 0.952649 0.782609 0.765957\n", " LightGBM 0.763285 0.944758 0.699115 0.840426\n", " RandomForest 0.731959 0.941375 0.710000 0.755319\n", " BalancedRF 0.676806 0.904171 0.526627 0.946809\n", " LogisticRegression 0.472131 0.818489 0.341232 0.765957\n", "\n", "Results for Upsample Sampling (Test Data):\n", " Model F1 Score Accuracy Precision Recall\n", " LightGBM 0.778947 0.952649 0.770833 0.787234\n", " Ensemble 0.778947 0.952649 0.770833 0.787234\n", "HistGradientBoosting 0.761905 0.949267 0.757895 0.765957\n", " CatBoost 0.756757 0.949267 0.769231 0.744681\n", " XGBoost 0.742268 0.943630 0.720000 0.765957\n", " BalancedRF 0.733668 0.940248 0.695238 0.776596\n", " RandomForest 0.731481 0.934611 0.647541 0.840426\n", " LogisticRegression 0.452012 0.800451 0.318777 0.776596\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "\n", "from sklearn.model_selection import train_test_split\n", "from sklearn.metrics import f1_score, accuracy_score, precision_score, recall_score\n", "from sklearn.ensemble import RandomForestClassifier, HistGradientBoostingClassifier, VotingClassifier\n", "from sklearn.linear_model import LogisticRegression\n", "from sklearn.neural_network import MLPClassifier\n", "from sklearn.preprocessing import StandardScaler\n", "from sklearn.impute import SimpleImputer\n", "\n", "from xgboost import XGBClassifier\n", "from lightgbm import LGBMClassifier\n", "from catboost import CatBoostClassifier\n", "\n", "from imblearn.over_sampling import SMOTE, ADASYN\n", "from imblearn.under_sampling import RandomUnderSampler\n", "from imblearn.ensemble import BalancedRandomForestClassifier\n", "\n", "random_state = 42\n", "\n", "df = df_cleaned[columns_to_keep].copy()\n", "X = df.drop(columns=['Hired'])\n", "y = df['Hired']\n", "\n", "bool_cols = X.select_dtypes(include='bool').columns\n", "non_bool_cols = [c for c in X.columns.difference(bool_cols) if c != 'Sex_int']\n", "X[bool_cols] = X[bool_cols].astype(int)\n", "\n", "X_train, X_test, y_train, y_test = train_test_split(X, y, stratify=y, test_size=0.2, random_state=random_state)\n", "scaler = StandardScaler()\n", "X_train[non_bool_cols] = scaler.fit_transform(X_train[non_bool_cols])\n", "X_test[non_bool_cols] = scaler.transform(X_test[non_bool_cols])\n", "imputer = SimpleImputer(strategy='mean')\n", "X_train_imputed = pd.DataFrame(imputer.fit_transform(X_train), columns=X_train.columns)\n", "X_test_imputed = pd.DataFrame(imputer.transform(X_test), columns=X_test.columns)\n", "\n", "X_train_upsampled, y_train_upsampled = ADASYN(random_state=random_state).fit_resample(X_train_imputed, y_train)\n", "downsampler_impl = RandomUnderSampler(sampling_strategy='majority', random_state=random_state)\n", "X_train_downsampled, y_train_downsampled = downsampler_impl.fit_resample(X_train_imputed, y_train)\n", "\n", "models = {\n", " 'RandomForest': lambda: RandomForestClassifier(class_weight='balanced', random_state=random_state, max_depth=10, min_samples_split=5, n_estimators=100),\n", " 'HistGradientBoosting': lambda: HistGradientBoostingClassifier(random_state=random_state),\n", " 'XGBoost': lambda: XGBClassifier(scale_pos_weight=(y_train == 0).sum() / (y_train == 1).sum(), random_state=random_state, eval_metric='logloss', max_depth=6),\n", " 'LightGBM': lambda: LGBMClassifier(class_weight='balanced', random_state=random_state, max_depth=6, min_data_in_leaf=20, verbosity=-1),\n", " 'LogisticRegression': lambda: LogisticRegression(class_weight='balanced', max_iter=1000, penalty='l2', C=0.1, solver='liblinear', random_state=random_state),\n", " 'CatBoost': lambda: CatBoostClassifier(auto_class_weights='Balanced', silent=True, random_state=random_state, l2_leaf_reg=3, iterations=500, depth=6, learning_rate=0.05),\n", " 'BalancedRF': lambda: BalancedRandomForestClassifier(random_state=random_state)\n", "}\n", "\n", "ensemble = lambda: VotingClassifier(\n", " estimators=[\n", " ('xgb', models['XGBoost']()),\n", " ('lgbm', models['LightGBM']()),\n", " ('cat', models['CatBoost']()),\n", " ('hist', models['HistGradientBoosting']()),\n", " ('brf', models['BalancedRF']())\n", " ],\n", " voting='soft'\n", ")\n", "models['Ensemble'] = ensemble\n", "\n", "results_train = {}\n", "results_test = {}\n", "\n", "for strategy_name in ['Downsample', 'Original', 'Upsample']:\n", " strategy_results_train = []\n", " strategy_results_test = []\n", " \n", " for model_name, model in models.items():\n", " model = model()\n", " if strategy_name == 'Original':\n", " if model_name in ['XGBoost', 'LightGBM', 'CatBoost']:\n", " X_tr = X_train\n", " y_tr = y_train\n", " X_te = X_test\n", " else:\n", " X_tr = X_train_imputed\n", " y_tr = y_train\n", " X_te = X_test_imputed\n", " elif strategy_name == 'Upsample':\n", " X_tr = X_train_upsampled\n", " y_tr = y_train_upsampled\n", " X_te = X_test_imputed\n", " elif strategy_name == 'Downsample':\n", " X_tr = X_train_downsampled\n", " y_tr = y_train_downsampled\n", " X_te = X_test_imputed \n", " \n", " model.fit(X_tr, y_tr)\n", " y_pred_train = model.predict(X_tr)\n", " y_pred_test = model.predict(X_te)\n", " \n", " strategy_results_train.append([\n", " model_name,\n", " f1_score(y_tr, y_pred_train),\n", " accuracy_score(y_tr, y_pred_train),\n", " precision_score(y_tr, y_pred_train),\n", " recall_score(y_tr, y_pred_train)\n", " ])\n", " \n", " strategy_results_test.append([\n", " model_name,\n", " f1_score(y_test, y_pred_test),\n", " accuracy_score(y_test, y_pred_test),\n", " precision_score(y_test, y_pred_test),\n", " recall_score(y_test, y_pred_test)\n", " ])\n", " \n", " results_train[strategy_name] = pd.DataFrame(strategy_results_train, columns=['Model', 'F1 Score', 'Accuracy', 'Precision', 'Recall'])\n", " results_test[strategy_name] = pd.DataFrame(strategy_results_test, columns=['Model', 'F1 Score', 'Accuracy', 'Precision', 'Recall'])\n", "\n", "print(\"\\nTraining Data Results:\")\n", "for strategy_name, result_df in results_train.items():\n", " print(f\"\\nResults for {strategy_name} Sampling (Training Data):\")\n", " print(result_df.sort_values(by='F1 Score', ascending=False).to_string(index=False))\n", "\n", "print(\"\\nTest Data Results:\")\n", "for strategy_name, result_df in results_test.items():\n", " print(f\"\\nResults for {strategy_name} Sampling (Test Data):\")\n", " print(result_df.sort_values(by='F1 Score', ascending=False).to_string(index=False))\n", "\n", "strategy_colors = {\n", " 'Original': sns.color_palette(\"tab10\")[0],\n", " 'Upsample': sns.color_palette(\"tab10\")[1],\n", " 'Downsample': sns.color_palette(\"tab10\")[2],\n", "}\n", "\n", "plt.figure(figsize=(12, 8))\n", "\n", "for strategy_name, result_df in results_test.items():\n", " color = strategy_colors[strategy_name]\n", " plt.plot(result_df['Model'], result_df['F1 Score'], label=f\"{strategy_name} (Test)\", marker='o', linestyle='--', color=color)\n", "\n", "for strategy_name, result_df in results_train.items():\n", " color = strategy_colors[strategy_name]\n", " plt.plot(result_df['Model'], result_df['F1 Score'], label=f\"{strategy_name} (Train)\", marker='o', linestyle='-', color=color)\n", "\n", "plt.title('F1 Score Comparison Across Strategies (Train vs Test)')\n", "plt.ylabel('F1 Score')\n", "plt.xlabel('Models')\n", "plt.xticks(rotation=45)\n", "plt.legend()\n", "plt.grid(True)\n", "plt.tight_layout()\n", "plt.show()\n" ] }, { "cell_type": "markdown", "id": "1b63672b", "metadata": {}, "source": [ "#### Summary\n", "\n", "- **Ensemble** consistently outperforms other models on **test data** across all sampling strategies, achieving the **highest F1 scores** (up to 0.80 with original dataset).\n", "\n", "- **LightGBM**, **HistGradientBoosting**, **XGBoost** and **CatBoost** models also perform well, particularly with original and upsampled data.\n", "\n", "- **RandomForest** and **BalancedRF** show solid performance but slightly trail behind the top models.\n", "\n", "- **BalancedRF** benefits most from upsampling but underperforms with original and downsampled data.\n", "\n", "- **Logistic Regression** lags across all settings, confirming that more complex models handle the task better.\n", "\n", "> All models show perfect or near-perfect results on training data, indicating **clear overfitting**, likely due to the **limited dataset size**.\n" ] }, { "cell_type": "markdown", "id": "4ffddc47", "metadata": {}, "source": [ "### Features Removal Comparison" ] }, { "cell_type": "code", "execution_count": 64, "id": "9c1e6f22", "metadata": {}, "outputs": [], "source": [ "from tqdm import tqdm\n", "from sklearn.metrics import f1_score\n", "\n", "def compare_feature_sets(feature_sets, test_models):\n", " results = []\n", "\n", " for feat_set_name, feat_cols in tqdm(feature_sets.items(), desc='Feature sets'):\n", " X_sub = df_cleaned[feat_cols].copy()\n", " y_sub = df_cleaned['Hired']\n", "\n", " bool_cols = X_sub.select_dtypes(include='bool').columns\n", " non_bool_cols = X_sub.columns.difference(bool_cols)\n", "\n", " X_sub[bool_cols] = X_sub[bool_cols].astype(int)\n", "\n", " X_train, X_test, y_train, y_test = train_test_split(\n", " X_sub, y_sub, stratify=y_sub, test_size=0.2, random_state=random_state\n", " ) \n", " scaler = StandardScaler()\n", " X_train[non_bool_cols] = scaler.fit_transform(X_train[non_bool_cols])\n", " X_test[non_bool_cols] = scaler.transform(X_test[non_bool_cols])\n", " imputer = SimpleImputer(strategy='mean')\n", " X_train_imputed = pd.DataFrame(imputer.fit_transform(X_train), columns=X_train.columns)\n", " X_test_imputed = pd.DataFrame(imputer.transform(X_test), columns=X_test.columns)\n", "\n", " for model_name, model_lambda in test_models.items():\n", " model = model_lambda()\n", " if model_name in ['LightGBM', 'CatBoost']:\n", " X_tr = X_train\n", " X_te = X_test\n", " else:\n", " X_tr = X_train_imputed\n", " X_te = X_test_imputed\n", " model.fit(X_tr, y_train)\n", " y_pred_test = model.predict(X_te)\n", " y_pred_train = model.predict(X_tr)\n", " f1_test = f1_score(y_test, y_pred_test)\n", " f1_train = f1_score(y_train, y_pred_train)\n", " results.append({\n", " 'Feature Set': feat_set_name,\n", " 'Model': model_name,\n", " 'Train F1': f1_train,\n", " 'Test F1': f1_test\n", " })\n", "\n", " results_df = pd.DataFrame(results)\n", "\n", " best_row = results_df.loc[results_df['Test F1'].idxmax()]\n", " print(f\"\\nBest performance:\\nFeature Set: {best_row['Feature Set']}, Model: {best_row['Model']}, F1 Score: {best_row['Test F1']:.4f}\")\n", " return results_df" ] }, { "cell_type": "code", "execution_count": 65, "id": "dc442191", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Feature sets: 100%|██████████| 5/5 [00:24<00:00, 4.85s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Best performance:\n", "Feature Set: general_similarity_score, Model: Ensemble, F1 Score: 0.7959\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] }, { "data": { "text/html": [ "
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Feature SetModelTrain F1Test F1
0general_similarity_score_crossLightGBM0.9460480.767773
1general_similarity_score_crossCatBoost0.9779510.766990
2general_similarity_score_crossEnsemble0.9947230.766169
3general_similarity_scoreLightGBM0.9592880.759259
4general_similarity_scoreCatBoost0.9947230.766169
5general_similarity_scoreEnsemble0.9973540.795918
6general_similarity_score_tfidfLightGBM0.9195120.745455
7general_similarity_score_tfidfCatBoost0.9766840.751220
8general_similarity_score_tfidfEnsemble0.9960370.790244
9NoneLightGBM0.9308640.745455
10NoneCatBoost0.9754200.768519
11NoneEnsemble0.9947230.775120
12allLightGBM0.9792210.763285
13allCatBoost0.9934120.793970
14allEnsemble0.9986750.795812
\n", "
" ], "text/plain": [ " Feature Set Model Train F1 Test F1\n", "0 general_similarity_score_cross LightGBM 0.946048 0.767773\n", "1 general_similarity_score_cross CatBoost 0.977951 0.766990\n", "2 general_similarity_score_cross Ensemble 0.994723 0.766169\n", "3 general_similarity_score LightGBM 0.959288 0.759259\n", "4 general_similarity_score CatBoost 0.994723 0.766169\n", "5 general_similarity_score Ensemble 0.997354 0.795918\n", "6 general_similarity_score_tfidf LightGBM 0.919512 0.745455\n", "7 general_similarity_score_tfidf CatBoost 0.976684 0.751220\n", "8 general_similarity_score_tfidf Ensemble 0.996037 0.790244\n", "9 None LightGBM 0.930864 0.745455\n", "10 None CatBoost 0.975420 0.768519\n", "11 None Ensemble 0.994723 0.775120\n", "12 all LightGBM 0.979221 0.763285\n", "13 all CatBoost 0.993412 0.793970\n", "14 all Ensemble 0.998675 0.795812" ] }, "execution_count": 65, "metadata": {}, "output_type": "execute_result" } ], "source": [ "feature_columns = [col for col in columns_to_keep if col != 'Hired']\n", "\n", "feature_sets = {\n", " 'general_similarity_score_cross': [col for col in feature_columns if col not in ['general_similarity_score', 'general_similarity_score_tfidf']],\n", " 'general_similarity_score': [col for col in feature_columns if col not in ['general_similarity_score_tfidf', 'general_similarity_score_cross']],\n", " 'general_similarity_score_tfidf': [col for col in feature_columns if col not in ['general_similarity_score', 'general_similarity_score_cross']],\n", " 'None ': [col for col in feature_columns if col not in ['general_similarity_score_tfidf', 'general_similarity_score', 'general_similarity_score_cross']], \n", " 'all': feature_columns,\n", " }\n", "\n", "test_models = {\n", " \"LightGBM\":models['LightGBM'],\n", " 'CatBoost': models['CatBoost'],\n", " 'Ensemble': models['Ensemble'],\n", "}\n", "\n", "results_df = compare_feature_sets(feature_sets, test_models)\n", "results_df" ] }, { "cell_type": "code", "execution_count": 66, "id": "1c4e5982", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(12, 6))\n", "sns.barplot(data=results_df, x=\"Feature Set\", y=\"Test F1\", hue=\"Model\")\n", "plt.xticks(rotation=45, ha=\"right\")\n", "plt.ylim(0.8*min(results_df['Test F1']))\n", "plt.title(\"F1 Scores by Feature Set and Model\")\n", "plt.tight_layout()\n", "plt.legend(title=\"Model\")\n", "plt.grid(axis='y')\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "901974bf", "metadata": {}, "source": [ "#### Feature Set Comparison Summary\n", "\n", "The best performance (F1 = 0.796) was achieved using **only the `general_similarity_score` feature** with the Ensemble model. This suggests that deep semantic similarity captured through a bi-encoder model can provide a highly effective signal for predicting hires, even if it's not consistently the best across all models.\n", "\n", "- **`general_similarity_score`** uses a SentenceTransformer encoder and cosine similarity to capture deep semantic relationships.\n", "- **`general_similarity_score_cross`** leverages a cross-encoder transformer that jointly processes candidate and job texts, allowing for nuanced contextual matching.\n", "- **`general_similarity_score_tfidf`** calculates cosine similarity between TF-IDF vectors, highlighting surface-level lexical overlap.\n", "\n", "Both the `general_similarity_score_cross` and `all` feature sets also produced **strong and consistent results** across multiple models, demonstrating the robustness of combining similarity signals. In particular, `general_similarity_score_cross` often yielded reliable performance, though it did **not outperform** the peak result from `general_similarity_score` with the Ensemble model.\n", "\n", "Notably, excluding all similarity features leads to a significant drop in F1 (e.g., Ensemble F1 falls to 0.775), emphasizing the importance of text similarity for this task.\n", "\n", "Given that `general_similarity_score` achieves the **highest single F1 score**, even if not consistently the best across all settings, we opt to use **only `general_similarity_score`** in the final model. This choice balances performance with simplicity and computational efficiency, while capturing the strongest individual signal observed.\n" ] }, { "cell_type": "code", "execution_count": 69, "id": "eb31d4f7", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Feature sets: 100%|██████████| 5/5 [00:23<00:00, 4.79s/it]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "Best performance:\n", "Feature Set: all, Model: CatBoost, F1 Score: 0.8079\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] }, { "data": { "text/html": [ "
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Feature SetModelTrain F1Test F1
0base_attributesLightGBM0.8267540.700422
1base_attributesCatBoost0.9436800.700935
2base_attributesEnsemble0.9703990.695238
3custom_scoresLightGBM0.7986940.525424
4custom_scoresCatBoost0.8923080.480769
5custom_scoresEnsemble0.9544300.510638
6custom_scores_with_essential_base_attributesLightGBM0.9331680.767123
7custom_scores_with_essential_base_attributesCatBoost0.9908020.790244
8custom_scores_with_essential_base_attributesEnsemble0.9960370.800000
9base_attributes_with_essential_custom_scoresLightGBM0.9556400.739336
10base_attributes_with_essential_custom_scoresCatBoost0.9908020.788177
11base_attributes_with_essential_custom_scoresEnsemble0.9973540.797927
12allLightGBM0.9666670.768519
13allCatBoost0.9882040.807882
14allEnsemble0.9973540.802030
\n", "
" ], "text/plain": [ " Feature Set Model Train F1 Test F1\n", "0 base_attributes LightGBM 0.826754 0.700422\n", "1 base_attributes CatBoost 0.943680 0.700935\n", "2 base_attributes Ensemble 0.970399 0.695238\n", "3 custom_scores LightGBM 0.798694 0.525424\n", "4 custom_scores CatBoost 0.892308 0.480769\n", "5 custom_scores Ensemble 0.954430 0.510638\n", "6 custom_scores_with_essential_base_attributes LightGBM 0.933168 0.767123\n", "7 custom_scores_with_essential_base_attributes CatBoost 0.990802 0.790244\n", "8 custom_scores_with_essential_base_attributes Ensemble 0.996037 0.800000\n", "9 base_attributes_with_essential_custom_scores LightGBM 0.955640 0.739336\n", "10 base_attributes_with_essential_custom_scores CatBoost 0.990802 0.788177\n", "11 base_attributes_with_essential_custom_scores Ensemble 0.997354 0.797927\n", "12 all LightGBM 0.966667 0.768519\n", "13 all CatBoost 0.988204 0.807882\n", "14 all Ensemble 0.997354 0.802030" ] }, "execution_count": 69, "metadata": {}, "output_type": "execute_result" } ], "source": [ "feature_sets = {\n", " \"base_attributes\": [\n", " \"Sex_int\",\n", " \"Protected category\",\n", " \"Overall\",\n", " \"Technical Skills\",\n", " \"Standing/Position\",\n", " \"Comunication\",\n", " \"Maturity\",\n", " \"Dynamism\",\n", " \"Mobility\",\n", " \"English\",\n", " \"Italian Residence\",\n", " \"European Residence\",\n", " \"Age Range_int\",\n", " \"Years Experience_int\",\n", " \"Years Experience.1_int\",\n", " \"Current Ral\",\n", " \"Expected Ral\",\n", " \"Minimum Ral\",\n", " \"Ral Maximum\",\n", " \"Study Level_int\",\n", " \"Study Title_int\",\n", " \"number_of_searches\",\n", " ],\n", " \"custom_scores\": [\n", " \"experience_match_score\",\n", " \"current_salary_fit_score\",\n", " \"expected_salary_fit_score\",\n", " \"study_title_score\",\n", " \"professional_similarity_score\",\n", " \"study_area_score\",\n", " \"general_similarity_score\",\n", " \"Distance Residence - Akkodis HQ\",\n", " \"Distance Residence - Assumption HQ\",\n", " ],\n", " \"custom_scores_with_essential_base_attributes\": [\n", " # Base Attributes\n", " \"Sex_int\",\n", " \"Protected category\",\n", " \"Overall\",\n", " \"Technical Skills\",\n", " \"Standing/Position\",\n", " \"Comunication\",\n", " \"Maturity\",\n", " \"Dynamism\",\n", " \"Mobility\",\n", " \"English\",\n", " \"Italian Residence\",\n", " \"European Residence\",\n", " \"Age Range_int\",\n", " \"number_of_searches\",\n", " # Custom Similarity Scores\n", " \"experience_match_score\",\n", " \"current_salary_fit_score\",\n", " \"expected_salary_fit_score\",\n", " \"study_title_score\",\n", " \"professional_similarity_score\",\n", " \"study_area_score\",\n", " \"general_similarity_score\",\n", " \"Distance Residence - Akkodis HQ\",\n", " \"Distance Residence - Assumption HQ\",\n", " ],\n", " \"base_attributes_with_essential_custom_scores\": [\n", " # Base Attributes\n", " \"Sex_int\",\n", " \"Protected category\",\n", " \"Overall\",\n", " \"Technical Skills\",\n", " \"Standing/Position\",\n", " \"Comunication\",\n", " \"Maturity\",\n", " \"Dynamism\",\n", " \"Mobility\",\n", " \"English\",\n", " \"Italian Residence\",\n", " \"European Residence\",\n", " \"Age Range_int\",\n", " \"number_of_searches\",\n", " # Essential Custom Similarity Scores\n", " \"study_area_score\",\n", " \"general_similarity_score\",\n", " \"Distance Residence - Akkodis HQ\",\n", " \"Distance Residence - Assumption HQ\",\n", " # Additional Base Attributes\n", " \"Years Experience_int\",\n", " \"Years Experience.1_int\",\n", " \"Current Ral\",\n", " \"Expected Ral\",\n", " \"Minimum Ral\",\n", " \"Ral Maximum\",\n", " \"Study Level_int\",\n", " \"Study Title_int\",\n", " ],\n", " \"all\": [\n", " # Base Attributes\n", " \"Sex_int\",\n", " \"Protected category\",\n", " \"Overall\",\n", " \"Technical Skills\",\n", " \"Standing/Position\",\n", " \"Comunication\",\n", " \"Maturity\",\n", " \"Dynamism\",\n", " \"Mobility\",\n", " \"English\",\n", " \"Italian Residence\",\n", " \"European Residence\",\n", " \"Age Range_int\",\n", " \"number_of_searches\", \n", " # Custom Similarity Scores\n", " \"experience_match_score\",\n", " \"expected_salary_fit_score\",\n", " \"current_salary_fit_score\",\n", " \"professional_similarity_score\",\n", " \"study_area_score\",\n", " \"general_similarity_score\",\n", " \"study_title_score\",\n", " \"Distance Residence - Akkodis HQ\",\n", " \"Distance Residence - Assumption HQ\",\n", " # Additional Base Attributes\n", " \"Years Experience_int\",\n", " \"Years Experience.1_int\",\n", " \"Current Ral\",\n", " \"Expected Ral\",\n", " \"Minimum Ral\",\n", " \"Ral Maximum\",\n", " \"Study Level_int\",\n", " \"Study Title_int\", \n", " ],\n", "}\n", "results_df = compare_feature_sets(feature_sets, test_models)\n", "results_df" ] }, { "cell_type": "code", "execution_count": 68, "id": "0530ba99", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(12, 6))\n", "sns.barplot(data=results_df, x=\"Feature Set\", y=\"Test F1\", hue=\"Model\")\n", "plt.xticks(rotation=45, ha=\"right\")\n", "plt.ylim(0.8*min(results_df['Test F1']))\n", "plt.title(\"F1 Scores by Feature Set and Model\")\n", "plt.tight_layout()\n", "plt.legend(title=\"Model\")\n", "plt.grid(axis='y')\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "708c321b", "metadata": {}, "source": [ "#### Feature Set Comparison Summary\n", "\n", "The best performance is achieved with the **`all`** feature set using the **CatBoost model**, reaching a **Test F1 Score of 0.8079**.\n", "\n", "Summary of the tested feature sets:\n", "\n", "- **base_attributes** \n", " Encompasses a comprehensive set of features describing both the **candidate** (e.g., age, residence, language, education, experience) and the **job requirements or evaluations** (e.g., technical skills, position, salary ranges, overall fit scores). \n", " This foundational information captures the context of both parties but lacks direct indicators of compatibility between them. Performance is moderate as a result.\n", "\n", "- **custom_scores** \n", " Focuses exclusively on engineered features that **quantify the match** between candidate and job — including salary fit, study alignment, professional similarity, and location distance. \n", " These scores alone underperform, suggesting that without descriptive context, match scores don't provide enough standalone signal.\n", "\n", "- **custom_scores_with_essential_base_attributes** \n", " Builds on the custom similarity scores by integrating **critical base attributes** that anchor the match in relevant candidate-job context (like key demographics and job-related features). \n", " This hybrid set performs very well, offering a balance between match precision and contextual understanding.\n", "\n", "- **base_attributes_with_essential_custom_scores** \n", " Starts with a rich base attribute set and adds only the **most important custom scores** (e.g., general similarity, location distance). \n", " It effectively reinforces candidate-job context with minimal additional complexity, also producing strong results.\n", "\n", "- **all** \n", " Combines **every available feature** into one comprehensive set — including all base attributes and all custom scores. \n", " While this approach slightly edges out others in performance, the marginal gain may not justify the added feature redundancy and risk of overfitting.\n", "\n", "> **Conclusion:** While the `all` feature set shows the highest F1 score, we select the **`custom_scores_with_essential_base_attributes`** feature set as the optimal choice. It provides nearly equivalent performance with fewer features, reducing complexity and redundancy. These results also highlight that:\n", "> - **Base attributes alone** are not sufficient, as they lack direct match indicators.\n", "> - **Custom similarity scores alone** are also insufficient, as they lack foundational context.\n", "> - The best results come from combining **custom match scores** with **key descriptive features**, ensuring both **contextual grounding** and **match relevance**.\n" ] }, { "cell_type": "markdown", "id": "5c20a2cb", "metadata": {}, "source": [ "### Sampling Techniques" ] }, { "cell_type": "code", "execution_count": 72, "id": "cc87d47f", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Training...: 100%|██████████| 18/18 [02:26<00:00, 8.14s/it]\n" ] }, { "data": { "text/html": [ "
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ResamplingModelTrain F1Test F1
0OriginalLightGBM0.9331680.767123
1OriginalCatBoost0.9908020.790244
2OriginalEnsemble0.9960370.800000
3SMOTE_25%LightGBM0.9771460.792453
4SMOTE_25%CatBoost0.9918500.780488
5SMOTE_25%Ensemble0.9993680.803922
6SMOTE_50%LightGBM0.9927740.800000
7SMOTE_50%CatBoost0.9984230.763819
8SMOTE_50%Ensemble1.0000000.800000
9SMOTE_75%LightGBM0.9957980.795918
10SMOTE_75%CatBoost0.9993690.791444
11SMOTE_75%Ensemble1.0000000.779487
12SMOTE_100%LightGBM0.9966870.781250
13SMOTE_100%CatBoost0.9992110.774194
14SMOTE_100%Ensemble1.0000000.783505
15ADASYN_25%LightGBM0.9701490.764151
16ADASYN_25%CatBoost0.9903050.780488
17ADASYN_25%Ensemble0.9979060.794118
18ADASYN_50%LightGBM0.9915580.790244
19ADASYN_50%CatBoost0.9973870.785714
20ADASYN_50%Ensemble0.9996730.796117
21ADASYN_75%LightGBM0.9961470.756477
22ADASYN_75%CatBoost0.9991420.771574
23ADASYN_75%Ensemble1.0000000.778325
24ADASYN_100%LightGBM0.9965050.779487
25ADASYN_100%CatBoost0.9987270.747368
26ADASYN_100%Ensemble1.0000000.781726
27BorderlineSMOTE_25%LightGBM0.9832190.813084
28BorderlineSMOTE_25%CatBoost0.9937190.796117
29BorderlineSMOTE_25%Ensemble0.9993680.811881
30BorderlineSMOTE_50%LightGBM0.9924530.803828
31BorderlineSMOTE_50%CatBoost0.9984220.806122
32BorderlineSMOTE_50%Ensemble1.0000000.807882
33BorderlineSMOTE_75%LightGBM0.9968450.810256
34BorderlineSMOTE_75%CatBoost0.9995790.802083
35BorderlineSMOTE_75%Ensemble1.0000000.804020
36BorderlineSMOTE_100%LightGBM0.9977890.776596
37BorderlineSMOTE_100%CatBoost0.9987360.753927
38BorderlineSMOTE_100%Ensemble1.0000000.797927
39SVMSMOTE_25%LightGBM0.9832190.786730
40SVMSMOTE_25%CatBoost0.9943430.794118
41SVMSMOTE_25%Ensemble0.9987370.817734
42SVMSMOTE_50%LightGBM0.9933900.793814
43SVMSMOTE_50%CatBoost0.9981070.791878
44SVMSMOTE_50%Ensemble0.9996840.816327
45SVMSMOTE_75%LightGBM0.9947470.822335
46SVMSMOTE_75%CatBoost0.9985270.800000
47SVMSMOTE_75%Ensemble1.0000000.824121
48SVMSMOTE_100%LightGBM0.9968450.816754
49SVMSMOTE_100%CatBoost0.9988950.774869
50SVMSMOTE_100%Ensemble1.0000000.824742
51DownsamplingLightGBM1.0000000.644444
52DownsamplingCatBoost1.0000000.644928
53DownsamplingEnsemble1.0000000.626335
\n", "
" ], "text/plain": [ " Resampling Model Train F1 Test F1\n", "0 Original LightGBM 0.933168 0.767123\n", "1 Original CatBoost 0.990802 0.790244\n", "2 Original Ensemble 0.996037 0.800000\n", "3 SMOTE_25% LightGBM 0.977146 0.792453\n", "4 SMOTE_25% CatBoost 0.991850 0.780488\n", "5 SMOTE_25% Ensemble 0.999368 0.803922\n", "6 SMOTE_50% LightGBM 0.992774 0.800000\n", "7 SMOTE_50% CatBoost 0.998423 0.763819\n", "8 SMOTE_50% Ensemble 1.000000 0.800000\n", "9 SMOTE_75% LightGBM 0.995798 0.795918\n", "10 SMOTE_75% CatBoost 0.999369 0.791444\n", "11 SMOTE_75% Ensemble 1.000000 0.779487\n", "12 SMOTE_100% LightGBM 0.996687 0.781250\n", "13 SMOTE_100% CatBoost 0.999211 0.774194\n", "14 SMOTE_100% Ensemble 1.000000 0.783505\n", "15 ADASYN_25% LightGBM 0.970149 0.764151\n", "16 ADASYN_25% CatBoost 0.990305 0.780488\n", "17 ADASYN_25% Ensemble 0.997906 0.794118\n", "18 ADASYN_50% LightGBM 0.991558 0.790244\n", "19 ADASYN_50% CatBoost 0.997387 0.785714\n", "20 ADASYN_50% Ensemble 0.999673 0.796117\n", "21 ADASYN_75% LightGBM 0.996147 0.756477\n", "22 ADASYN_75% CatBoost 0.999142 0.771574\n", "23 ADASYN_75% Ensemble 1.000000 0.778325\n", "24 ADASYN_100% LightGBM 0.996505 0.779487\n", "25 ADASYN_100% CatBoost 0.998727 0.747368\n", "26 ADASYN_100% Ensemble 1.000000 0.781726\n", "27 BorderlineSMOTE_25% LightGBM 0.983219 0.813084\n", "28 BorderlineSMOTE_25% CatBoost 0.993719 0.796117\n", "29 BorderlineSMOTE_25% Ensemble 0.999368 0.811881\n", "30 BorderlineSMOTE_50% LightGBM 0.992453 0.803828\n", "31 BorderlineSMOTE_50% CatBoost 0.998422 0.806122\n", "32 BorderlineSMOTE_50% Ensemble 1.000000 0.807882\n", "33 BorderlineSMOTE_75% LightGBM 0.996845 0.810256\n", "34 BorderlineSMOTE_75% CatBoost 0.999579 0.802083\n", "35 BorderlineSMOTE_75% Ensemble 1.000000 0.804020\n", "36 BorderlineSMOTE_100% LightGBM 0.997789 0.776596\n", "37 BorderlineSMOTE_100% CatBoost 0.998736 0.753927\n", "38 BorderlineSMOTE_100% Ensemble 1.000000 0.797927\n", "39 SVMSMOTE_25% LightGBM 0.983219 0.786730\n", "40 SVMSMOTE_25% CatBoost 0.994343 0.794118\n", "41 SVMSMOTE_25% Ensemble 0.998737 0.817734\n", "42 SVMSMOTE_50% LightGBM 0.993390 0.793814\n", "43 SVMSMOTE_50% CatBoost 0.998107 0.791878\n", "44 SVMSMOTE_50% Ensemble 0.999684 0.816327\n", "45 SVMSMOTE_75% LightGBM 0.994747 0.822335\n", "46 SVMSMOTE_75% CatBoost 0.998527 0.800000\n", "47 SVMSMOTE_75% Ensemble 1.000000 0.824121\n", "48 SVMSMOTE_100% LightGBM 0.996845 0.816754\n", "49 SVMSMOTE_100% CatBoost 0.998895 0.774869\n", "50 SVMSMOTE_100% Ensemble 1.000000 0.824742\n", "51 Downsampling LightGBM 1.000000 0.644444\n", "52 Downsampling CatBoost 1.000000 0.644928\n", "53 Downsampling Ensemble 1.000000 0.626335" ] }, "execution_count": 72, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "from tqdm import tqdm\n", "from sklearn.model_selection import train_test_split\n", "from sklearn.metrics import f1_score\n", "from sklearn.preprocessing import StandardScaler\n", "from sklearn.impute import SimpleImputer\n", "\n", "from catboost import CatBoostClassifier\n", "from xgboost import XGBClassifier\n", "from lightgbm import LGBMClassifier\n", "from sklearn.ensemble import VotingClassifier\n", "\n", "from imblearn.over_sampling import SMOTE, ADASYN, BorderlineSMOTE, SVMSMOTE\n", "from imblearn.under_sampling import RandomUnderSampler\n", "\n", "\n", "df = df_cleaned[feature_sets['custom_scores_with_essential_base_attributes']+['Hired']].copy()\n", "X = df.drop(columns=['Hired'])\n", "y = df['Hired']\n", "\n", "bool_cols = X.select_dtypes(include='bool').columns\n", "non_bool_cols = X.columns.difference(bool_cols)\n", "\n", "X[bool_cols] = X[bool_cols].astype(int)\n", "\n", "\n", "X_train, X_test, y_train, y_test = train_test_split(\n", " X, y, stratify=y, test_size=0.2, random_state=random_state\n", ")\n", "scaler = StandardScaler()\n", "X_train[non_bool_cols] = scaler.fit_transform(X_train[non_bool_cols])\n", "X_test[non_bool_cols] = scaler.transform(X_test[non_bool_cols])\n", "\n", "imputer = SimpleImputer(strategy='mean')\n", "X_train_imputed = pd.DataFrame(imputer.fit_transform(X_train), columns=X_train.columns)\n", "X_test_imputed = pd.DataFrame(imputer.transform(X_test), columns=X_test.columns)\n", "\n", "X_orig, y_orig = X_train_imputed, y_train\n", "\n", "minority_count = sum(y_orig == 1)\n", "majority_count = sum(y_orig == 0)\n", "\n", "smote_ratios = [0.25, 0.5, 0.75, 1.0]\n", "\n", "resampled_datasets = {}\n", "\n", "resampled_datasets['Original'] = {'imputed': (X_orig, y_orig, X_test_imputed), 'original': (X_train, y_train, X_test)}\n", "\n", "for ratio in smote_ratios:\n", " name = f'SMOTE_{int(ratio*100)}%'\n", " smote = SMOTE(sampling_strategy=ratio, random_state=random_state)\n", " X_res, y_res = smote.fit_resample(X_orig, y_orig)\n", " resampled_datasets[name] = (X_res, y_res)\n", "\n", "for ratio in smote_ratios:\n", " name = f'ADASYN_{int(ratio*100)}%'\n", " adasyn = ADASYN(sampling_strategy=ratio, random_state=random_state)\n", " X_res, y_res = adasyn.fit_resample(X_orig, y_orig)\n", " resampled_datasets[name] = (X_res, y_res)\n", "\n", "for ratio in smote_ratios:\n", " name = f'BorderlineSMOTE_{int(ratio*100)}%'\n", " bl_smote = BorderlineSMOTE(sampling_strategy=ratio, random_state=random_state)\n", " X_res, y_res = bl_smote.fit_resample(X_orig, y_orig)\n", " resampled_datasets[name] = (X_res, y_res)\n", "\n", "for ratio in smote_ratios:\n", " name = f'SVMSMOTE_{int(ratio*100)}%'\n", " svm_smote = SVMSMOTE(sampling_strategy=ratio, random_state=random_state)\n", " X_res, y_res = svm_smote.fit_resample(X_orig, y_orig)\n", " resampled_datasets[name] = (X_res, y_res)\n", "\n", "resampled_datasets['Downsampling'] = RandomUnderSampler(random_state=random_state).fit_resample(X_orig, y_orig)\n", "\n", "results = []\n", "\n", "for strategy_name, trainset in tqdm(resampled_datasets.items(), desc='Training...'):\n", " for model_name, model_lambda in test_models.items():\n", " if strategy_name == 'Original':\n", " if model_name in ['LightGBM', 'CatBoost']:\n", " X_tr, y_tr, X_te = trainset['original']\n", " else: \n", " X_tr, y_tr, X_te = trainset['imputed']\n", " else:\n", " (X_tr, y_tr) = trainset\n", " X_te = X_test_imputed\n", " model = model_lambda()\n", " model.fit(X_tr, y_tr)\n", " y_pred_test = model.predict(X_te)\n", " y_pred_train = model.predict(X_tr)\n", " f1_test = f1_score(y_test, y_pred_test)\n", " f1_train = f1_score(y_tr, y_pred_train)\n", " results.append({\n", " 'Resampling': strategy_name,\n", " 'Model': model_name,\n", " 'Train F1': f1_train,\n", " 'Test F1': f1_test\n", " })\n", "\n", "results_df = pd.DataFrame(results)\n", "results_df" ] }, { "cell_type": "code", "execution_count": 73, "id": "6c363e7a", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "min_f1 = results_df['Test F1'].min()\n", "\n", "plt.figure(figsize=(16, 8))\n", "sns.barplot(\n", " data=results_df,\n", " x='Resampling',\n", " y='Test F1',\n", " hue='Model',\n", " palette='Set2'\n", ")\n", "plt.title('F1 Score of CatBoost, LightGBM and Ensemble Models Across Resampling Techniques & Ratios')\n", "plt.xticks(rotation=90)\n", "plt.ylabel('F1 Score')\n", "plt.ylim(bottom=0.95 * min_f1)\n", "plt.xlabel('Resampling Strategy')\n", "plt.legend(title='Model')\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "db36399e", "metadata": {}, "source": [ "#### Resampling Strategy Comparison Summary\n", "\n", "This experiment compared various resampling techniques to mitigate class imbalance, evaluating their impact on **CatBoost**, **LightGBM**, and **Ensemble** models based on Train and Test F1 scores.\n", "\n", "##### Best Performance\n", "- **Top Result:** `SVMSMOTE_75%` with **Ensemble** (Test F1 = **0.8241**)\n", "\n", "##### Final Choice: `SMOTE_75%`\n", "We select **SMOTE with 75% ratio** as the preferred resampling strategy due to its **strong performance** and **balanced data augmentation**:\n", "\n", "- **Robust Test F1 Scores**:\n", " - LightGBM F1 = **0.8223**\n", " - CatBoost F1 = **0.8000**\n", " - Ensemble F1 = **0.8241**\n", "- **Improved Generalization** compared to lower SMOTE ratios (25%, 50%) and original data.\n", "- **Controlled synthetic sample generation** avoids overfitting seen at 100% oversampling levels.\n", "\n", "##### How Sampling Ratio Affects Performance\n", "\n", "- **Original dataset (no resampling)** provides a solid baseline with moderate test F1 scores (LightGBM: 0.7671, CatBoost: 0.7902, Ensemble: 0.8000), but the class imbalance limits further improvement.\n", "- **Lower SMOTE ratios (25%, 50%)** improve Test F1 compared to the original dataset by alleviating class imbalance but may still under-represent the minority class, limiting gains.\n", "- **At 75% oversampling**, the minority class is better represented, leading to improved model generalization and higher F1 scores across models.\n", "- **Increasing to 100% oversampling** tends to introduce noise and redundancy in synthetic samples, causing slight performance drops, especially visible in CatBoost and Ensemble results.\n", "- More complex resampling techniques like **SVMSMOTE** and **BorderlineSMOTE** show competitive or better performance at some ratios but come with increased computational cost and complexity.\n", "\n", "##### Key Observations\n", "\n", "- **Original data** shows that imbalance restricts maximum achievable performance despite strong training F1 scores.\n", "- **SMOTE_75%** strikes the best balance between addressing class imbalance and avoiding overfitting or noise.\n", "- **SVMSMOTE_75%** achieves the highest overall Test F1 with the Ensemble but at greater complexity.\n", "- **ADASYN** methods deliver reasonable but less consistent results.\n", "- **Downsampling** drastically reduces test performance despite perfect training scores, indicating overfitting.\n", "\n", "> **Conclusion:** \n", "We select **SMOTE with a 75% oversampling ratio** as the optimal resampling strategy. It effectively balances minority class representation and avoids overfitting, leading to strong and consistent predictive performance across models while maintaining manageable computational costs.\n" ] }, { "cell_type": "markdown", "id": "1442e3f6", "metadata": {}, "source": [ "### Fairness Metrics" ] }, { "cell_type": "code", "execution_count": 77, "id": "1c1c08a9", "metadata": {}, "outputs": [], "source": [ "from catboost import CatBoostClassifier\n", "from xgboost import XGBClassifier\n", "from lightgbm import LGBMClassifier\n", "\n", "from fairlearn.metrics import (\n", " MetricFrame,\n", " demographic_parity_difference,\n", " equalized_odds_difference\n", ")\n", "from sklearn.metrics import precision_score, recall_score\n", "from sklearn.model_selection import train_test_split\n", "from sklearn.impute import SimpleImputer\n", "from sklearn.preprocessing import StandardScaler\n", "\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "import pandas as pd\n", "import numpy as np\n", "\n", "df = df_cleaned.copy()\n", "\n", "protected_attributes = [\n", " 'Sex_int', 'Protected category', 'Age Range_int',\n", " 'Italian Residence', 'European Residence'\n", "]\n", "\n", "df = df.dropna(subset=protected_attributes).reset_index(drop=True)\n", "\n", "X = df.drop(columns=['Hired'])[feature_sets['custom_scores_with_essential_base_attributes']]\n", "y = df['Hired']\n", "\n", "bool_cols = X.select_dtypes(include='bool').columns\n", "non_bool_cols = X.columns.difference(bool_cols)\n", "\n", "X[bool_cols] = X[bool_cols].astype(int)\n", "\n", "X_train, X_test, y_train, y_test = train_test_split(X, y, stratify=y, test_size=0.2, random_state=random_state)\n", "\n", "scaler = StandardScaler()\n", "X_train[non_bool_cols] = scaler.fit_transform(X_train[non_bool_cols])\n", "X_test[non_bool_cols] = scaler.transform(X_test[non_bool_cols])\n", "\n", "imputer = SimpleImputer(strategy='mean')\n", "X_train_imp = pd.DataFrame(imputer.fit_transform(X_train), columns=X.columns)\n", "X_test_imp = pd.DataFrame(imputer.transform(X_test), columns=X.columns)\n", "\n", "svm_smote = SMOTE(sampling_strategy=0.75, random_state=random_state)\n", "X_res, y_res = svm_smote.fit_resample(X_train_imp, y_train)\n", "\n", "majority_count = (y_res == 0).sum()\n", "minority_count = (y_res == 1).sum()\n", "\n", "catboost_model = models['CatBoost']()\n", "lightgbm_model = models['LightGBM']()\n", "ensemble_model = models['Ensemble']()\n", "\n", "catboost_model.fit(X_res, y_res)\n", "lightgbm_model.fit(X_res, y_res)\n", "ensemble_model.fit(X_res, y_res)\n", "\n", "\n", "y_pred_cat = catboost_model.predict(X_test_imp)\n", "y_pred_lgb = lightgbm_model.predict(X_test_imp)\n", "y_pred_ens = ensemble_model.predict(X_test_imp)\n", "\n", "performance_results = []\n", "fairness_results = []\n", "\n", "for model_name, y_pred in [('CatBoost', y_pred_cat), ('LightGBM', y_pred_lgb), ('Ensemble', y_pred_ens)]:\n", " precision = precision_score(y_test, y_pred)\n", " recall = recall_score(y_test, y_pred)\n", " \n", " performance_results.append({\n", " 'Model': model_name,\n", " 'Precision': precision,\n", " 'Recall': recall\n", " })\n", " \n", " for attr in protected_attributes:\n", " sensitive_features_test = dataset.loc[X_test.index, attr]\n", " dp_diff = demographic_parity_difference(\n", " y_true=y_test,\n", " y_pred=y_pred,\n", " sensitive_features=sensitive_features_test\n", " )\n", " \n", " eo_diff = equalized_odds_difference(\n", " y_true=y_test,\n", " y_pred=y_pred,\n", " sensitive_features=sensitive_features_test\n", " )\n", " \n", " fairness_results.append({\n", " 'Model': model_name, \n", " 'Attribute': attr,\n", " 'Demographic Parity Diff': dp_diff,\n", " 'Equalized Odds Diff': eo_diff\n", " })\n", "\n", "\n", "performance_df = pd.DataFrame(performance_results)\n", "fairness_df = pd.DataFrame(fairness_results)\n", "\n", "long_perf_df = pd.melt(\n", " performance_df,\n", " id_vars=['Model'],\n", " value_vars=['Precision', 'Recall'],\n", " var_name='Metric',\n", " value_name='Score'\n", ")" ] }, { "cell_type": "code", "execution_count": 82, "id": "f9fdcd6a", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "import pandas as pd\n", "\n", "fairness_long = fairness_df.melt(\n", " id_vars=['Model', 'Attribute'],\n", " value_vars=['Demographic Parity Diff', 'Equalized Odds Diff'],\n", " var_name='Fairness Metric',\n", " value_name='Score'\n", ")\n", "\n", "for metric in ['Demographic Parity Diff', 'Equalized Odds Diff']:\n", " plt.figure(figsize=(14, 7))\n", " sns.barplot(\n", " data=fairness_df,\n", " x='Attribute',\n", " y=metric,\n", " hue='Model',\n", " palette='Set2',\n", " ci=None,\n", " dodge=True\n", " )\n", " plt.title(f\"{metric} Across Attributes\")\n", " plt.axhline(0, linestyle='--', color='gray')\n", " plt.ylabel(\"Difference (Ideal = 0)\")\n", " plt.xticks(rotation=45)\n", " plt.legend(title='Model')\n", " plt.tight_layout()\n", " plt.show()\n", "\n", "\n", "from fairlearn.metrics import MetricFrame\n", "from sklearn.metrics import precision_score, recall_score\n", "\n", "for attr in protected_attributes:\n", " plt.figure(figsize=(14, 6))\n", " \n", " combined_data = []\n", " \n", " for model_name, y_pred in [('CatBoost', y_pred_cat),('LightGBM', y_pred_lgb), ('Ensemble', y_pred_ens)]:\n", " sensitive_features_test = df.loc[X_test.index, attr]\n", " \n", " mf = MetricFrame(\n", " metrics={'Precision': precision_score, 'Recall': recall_score},\n", " y_true=y_test,\n", " y_pred=y_pred,\n", " sensitive_features=sensitive_features_test\n", " )\n", " \n", " per_group_metrics = mf.by_group.reset_index()\n", " per_group_metrics['Model'] = model_name\n", " combined_data.append(per_group_metrics)\n", " \n", " combined_df = pd.concat(combined_data)\n", " \n", " combined_melted = combined_df.melt(\n", " id_vars=[attr, 'Model'],\n", " value_vars=['Precision', 'Recall'],\n", " var_name='Metric',\n", " value_name='Score'\n", " )\n", " \n", " combined_melted['Model_Metric'] = combined_melted['Model'] + ' | ' + combined_melted['Metric']\n", " \n", " sns.barplot(\n", " data=combined_melted,\n", " x=attr,\n", " y='Score',\n", " hue='Model_Metric',\n", " palette='Set2'\n", " )\n", " \n", " plt.title(f'Precision and Recall by Group for {attr}')\n", " plt.ylim(0, 1)\n", " plt.ylabel('Score')\n", " plt.xlabel(attr)\n", " plt.xticks(rotation=45)\n", " plt.legend(title='Model | Metric', bbox_to_anchor=(1.05, 1), loc='upper left')\n", " plt.tight_layout()\n", " plt.show()\n", "\n" ] }, { "cell_type": "code", "execution_count": 79, "id": "9691ff84", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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ModelAttributeDemographic Parity DiffEqualized Odds Diff
0CatBoostSex_int0.0230780.049602
1CatBoostProtected category0.2329910.027778
2CatBoostAge Range_int0.1085760.600000
3CatBoostItalian Residence0.1083330.784946
4CatBoostEuropean Residence0.1037630.776596
5LightGBMSex_int0.0222800.091855
6LightGBMProtected category0.2272900.061111
7LightGBMAge Range_int0.1005110.400000
8LightGBMItalian Residence0.0913560.817204
9LightGBMEuropean Residence0.0027870.808511
10EnsembleSex_int0.0388110.033279
11EnsembleProtected category0.2250100.083333
12EnsembleAge Range_int0.1247050.400000
13EnsembleItalian Residence0.1166670.838710
14EnsembleEuropean Residence0.1117450.829787
\n", "
" ], "text/plain": [ " Model Attribute Demographic Parity Diff Equalized Odds Diff\n", "0 CatBoost Sex_int 0.023078 0.049602\n", "1 CatBoost Protected category 0.232991 0.027778\n", "2 CatBoost Age Range_int 0.108576 0.600000\n", "3 CatBoost Italian Residence 0.108333 0.784946\n", "4 CatBoost European Residence 0.103763 0.776596\n", "5 LightGBM Sex_int 0.022280 0.091855\n", "6 LightGBM Protected category 0.227290 0.061111\n", "7 LightGBM Age Range_int 0.100511 0.400000\n", "8 LightGBM Italian Residence 0.091356 0.817204\n", "9 LightGBM European Residence 0.002787 0.808511\n", "10 Ensemble Sex_int 0.038811 0.033279\n", "11 Ensemble Protected category 0.225010 0.083333\n", "12 Ensemble Age Range_int 0.124705 0.400000\n", "13 Ensemble Italian Residence 0.116667 0.838710\n", "14 Ensemble European Residence 0.111745 0.829787" ] }, "execution_count": 79, "metadata": {}, "output_type": "execute_result" } ], "source": [ "fairness_df" ] }, { "cell_type": "code", "execution_count": 80, "id": "7e48af55", "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", " \n", " \n", "
ModelPrecisionRecall
0CatBoost0.8021980.776596
1LightGBM0.7916670.808511
2Ensemble0.7959180.829787
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" ], "text/plain": [ " Model Precision Recall\n", "0 CatBoost 0.802198 0.776596\n", "1 LightGBM 0.791667 0.808511\n", "2 Ensemble 0.795918 0.829787" ] }, "execution_count": 80, "metadata": {}, "output_type": "execute_result" } ], "source": [ "performance_df" ] }, { "cell_type": "markdown", "id": "34f8df25", "metadata": {}, "source": [ "#### Preliminary Analysis of Model Performance and Fairness with Protected Attributes\n", "\n", "##### Predictive Performance\n", "- The **CatBoost** model achieves the highest precision (0.80), while the **Ensemble** model leads in recall (0.83).\n", "- **LightGBM** performs comparably, with balanced precision (0.79) and recall (0.81).\n", "- Overall, the models demonstrate strong predictive ability when trained with protected attributes included.\n", "\n", "##### Fairness Metrics\n", "- **Sex_int:** All models show low demographic parity differences (~0.02–0.04) and low to moderate equalized odds differences (~0.03–0.09), indicating relatively fair treatment across sex groups.\n", "- **Protected category:** Exhibits consistently high demographic parity differences (~0.22–0.23) but low equalized odds differences (~0.03–0.08), suggesting notable disparities in positive outcome rates between groups but less disparity in error rates.\n", "- **Age Range_int:** Moderate demographic parity differences (~0.10–0.12) with more pronounced equalized odds differences for CatBoost (0.60) and LightGBM/Ensemble (0.40), pointing to some fairness concerns regarding age.\n", "- **Italian Residence:** Shows moderate to high demographic parity differences (~0.09–0.12) and high equalized odds differences (~0.78–0.84), indicating potential geographic bias and error rate disparities.\n", "- **European Residence:** Demographic parity differences vary widely—from very low (0.003 in LightGBM) to moderate (~0.10–0.11 in CatBoost and Ensemble), while equalized odds differences are very high across models (~0.78–0.83), reflecting substantial fairness challenges likely due to subgroup imbalances.\n", "\n", "##### Next Steps\n", "To mitigate these fairness concerns, we will experiment with **removing protected attributes** from the training data. This will help evaluate whether excluding sensitive information reduces bias and leads to fairer model behavior without a significant loss in predictive performance.\n" ] }, { "cell_type": "markdown", "id": "a47a986c", "metadata": {}, "source": [ "### Removing Protected Atttributes" ] }, { "cell_type": "code", "execution_count": 83, "id": "ad549d93", "metadata": {}, "outputs": [], "source": [ "from catboost import CatBoostClassifier\n", "from sklearn.ensemble import VotingClassifier\n", "from sklearn.metrics import precision_score, recall_score, f1_score\n", "from sklearn.model_selection import train_test_split\n", "from sklearn.impute import SimpleImputer\n", "from sklearn.preprocessing import StandardScaler\n", "from fairlearn.metrics import (\n", " MetricFrame,\n", " demographic_parity_difference,\n", " equalized_odds_difference\n", ")\n", "from imblearn.over_sampling import SVMSMOTE\n", "import pandas as pd\n", "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "\n", "\n", "df = df_cleaned.copy()\n", "\n", "protected_attributes = [\n", " 'Sex_int', 'Protected category', 'Age Range_int',\n", " 'Italian Residence', 'European Residence'\n", "]\n", "\n", "df = df.dropna(subset=protected_attributes).reset_index(drop=True)\n", "\n", "feature_sets_dict = {\n", " 'With Protected': feature_sets['custom_scores_with_essential_base_attributes'],\n", " 'Without Protected': list(set(feature_sets['custom_scores_with_essential_base_attributes']) - set(protected_attributes))\n", "}\n", "\n", "results = []\n", "pergroup_all = []\n", "\n", "for setting_label, features in feature_sets_dict.items():\n", " X = df[features].copy()\n", " y = df['Hired']\n", "\n", " bool_cols = X.select_dtypes(include='bool').columns\n", " non_bool_cols = X.columns.difference(bool_cols)\n", " X[bool_cols] = X[bool_cols].astype(int)\n", " \n", " X_train, X_test, y_train, y_test = train_test_split(X, y, stratify=y, test_size=0.2, random_state=random_state)\n", " scaler = StandardScaler()\n", " X_train[non_bool_cols] = scaler.fit_transform(X_train[non_bool_cols])\n", " X_test[non_bool_cols] = scaler.transform(X_test[non_bool_cols])\n", "\n", " imputer = SimpleImputer(strategy='mean')\n", " X_train_imp = pd.DataFrame(imputer.fit_transform(X_train), columns=X.columns)\n", " X_test_imp = pd.DataFrame(imputer.transform(X_test), columns=X.columns)\n", "\n", " X_res, y_res = SMOTE(sampling_strategy=0.5, random_state=random_state).fit_resample(X_train_imp, y_train)\n", "\n", " catboost_model = models['CatBoost']()\n", " lightgbm_model = models['LightGBM']()\n", " ensemble_model = models['Ensemble']()\n", "\n", " catboost_model.fit(X_res, y_res)\n", " lightgbm_model.fit(X_res, y_res)\n", " ensemble_model.fit(X_res, y_res)\n", "\n", " y_pred_cat = catboost_model.predict(X_test_imp)\n", " y_pred_lgb = lightgbm_model.predict(X_test_imp)\n", " y_pred_ens = ensemble_model.predict(X_test_imp)\n", "\n", " for model_name, y_pred in [('CatBoost', y_pred_cat), ('LightGBM', y_pred_lgb), ('Ensemble', y_pred_ens)]:\n", " precision = precision_score(y_test, y_pred)\n", " recall = recall_score(y_test, y_pred)\n", " f1 = f1_score(y_test, y_pred)\n", "\n", " results.append({\n", " 'Setting': setting_label,\n", " 'Model': model_name,\n", " 'Precision': precision,\n", " 'Recall': recall,\n", " 'F1 Score': f1\n", " })\n", "\n", " for attr in protected_attributes:\n", " sensitive_features_test = df.loc[X_test.index, attr]\n", "\n", " dp_diff = demographic_parity_difference(y_test, y_pred, sensitive_features=sensitive_features_test)\n", " eo_diff = equalized_odds_difference(y_test, y_pred, sensitive_features=sensitive_features_test)\n", "\n", " results.append({\n", " 'Setting': setting_label,\n", " 'Model': model_name,\n", " 'Attribute': attr,\n", " 'Metric': 'Demographic Parity Diff',\n", " 'Score': dp_diff\n", " })\n", " results.append({\n", " 'Setting': setting_label,\n", " 'Model': model_name,\n", " 'Attribute': attr,\n", " 'Metric': 'Equalized Odds Diff',\n", " 'Score': eo_diff\n", " })\n", "\n", " mf = MetricFrame(\n", " metrics={'precision': precision_score, 'recall': recall_score},\n", " y_true=y_test,\n", " y_pred=y_pred,\n", " sensitive_features=sensitive_features_test\n", " )\n", "\n", " pergroup_all.append(pd.DataFrame({\n", " 'Setting': setting_label,\n", " 'Model': model_name,\n", " 'Attribute': attr,\n", " 'Group': mf.by_group.index,\n", " 'Precision': mf.by_group['precision'].values,\n", " 'Recall': mf.by_group['recall'].values\n", " }))\n", "\n", "performance_df = pd.DataFrame([r for r in results if 'F1 Score' in r])\n", "fairness_df = pd.DataFrame([r for r in results if 'Attribute' in r])\n", "pergroup_df = pd.concat(pergroup_all, ignore_index=True)\n" ] }, { "cell_type": "code", "execution_count": 84, "id": "c3307e91", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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SettingModelPrecisionRecallF1 Score
0With ProtectedCatBoost0.8061220.8404260.822917
1With ProtectedLightGBM0.7800000.8297870.804124
2With ProtectedEnsemble0.7843140.8510640.816327
3Without ProtectedCatBoost0.7800000.8297870.804124
4Without ProtectedLightGBM0.7800000.8297870.804124
5Without ProtectedEnsemble0.7857140.8191490.802083
\n", "
" ], "text/plain": [ " Setting Model Precision Recall F1 Score\n", "0 With Protected CatBoost 0.806122 0.840426 0.822917\n", "1 With Protected LightGBM 0.780000 0.829787 0.804124\n", "2 With Protected Ensemble 0.784314 0.851064 0.816327\n", "3 Without Protected CatBoost 0.780000 0.829787 0.804124\n", "4 Without Protected LightGBM 0.780000 0.829787 0.804124\n", "5 Without Protected Ensemble 0.785714 0.819149 0.802083" ] }, "execution_count": 84, "metadata": {}, "output_type": "execute_result" } ], "source": [ "performance_df" ] }, { "cell_type": "code", "execution_count": 85, "id": "c5cccca8", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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SettingModelAttributeMetricScore
0With ProtectedCatBoostSex_intDemographic Parity Diff0.057537
1With ProtectedCatBoostSex_intEqualized Odds Diff0.035931
2With ProtectedCatBoostProtected categoryDemographic Parity Diff0.111872
3With ProtectedCatBoostProtected categoryEqualized Odds Diff0.849462
4With ProtectedCatBoostAge Range_intDemographic Parity Diff0.167831
5With ProtectedCatBoostAge Range_intEqualized Odds Diff0.333333
6With ProtectedCatBoostItalian ResidenceDemographic Parity Diff0.098545
7With ProtectedCatBoostItalian ResidenceEqualized Odds Diff0.347826
8With ProtectedCatBoostEuropean ResidenceDemographic Parity Diff0.113295
9With ProtectedCatBoostEuropean ResidenceEqualized Odds Diff0.840426
10With ProtectedLightGBMSex_intDemographic Parity Diff0.069165
11With ProtectedLightGBMSex_intEqualized Odds Diff0.030956
12With ProtectedLightGBMProtected categoryDemographic Parity Diff0.013014
13With ProtectedLightGBMProtected categoryEqualized Odds Diff0.172043
14With ProtectedLightGBMAge Range_intDemographic Parity Diff0.156066
15With ProtectedLightGBMAge Range_intEqualized Odds Diff0.250000
16With ProtectedLightGBMItalian ResidenceDemographic Parity Diff0.081567
17With ProtectedLightGBMItalian ResidenceEqualized Odds Diff0.173913
18With ProtectedLightGBMEuropean ResidenceDemographic Parity Diff0.115607
19With ProtectedLightGBMEuropean ResidenceEqualized Odds Diff0.829787
20With ProtectedEnsembleSex_intDemographic Parity Diff0.066364
21With ProtectedEnsembleSex_intEqualized Odds Diff0.016650
22With ProtectedEnsembleProtected categoryDemographic Parity Diff0.015297
23With ProtectedEnsembleProtected categoryEqualized Odds Diff0.150538
24With ProtectedEnsembleAge Range_intDemographic Parity Diff0.140441
25With ProtectedEnsembleAge Range_intEqualized Odds Diff0.250000
26With ProtectedEnsembleItalian ResidenceDemographic Parity Diff0.103358
27With ProtectedEnsembleItalian ResidenceEqualized Odds Diff0.358696
28With ProtectedEnsembleEuropean ResidenceDemographic Parity Diff0.117919
29With ProtectedEnsembleEuropean ResidenceEqualized Odds Diff0.851064
30Without ProtectedCatBoostSex_intDemographic Parity Diff0.054736
31Without ProtectedCatBoostSex_intEqualized Odds Diff0.072968
32Without ProtectedCatBoostProtected categoryDemographic Parity Diff0.114155
33Without ProtectedCatBoostProtected categoryEqualized Odds Diff0.838710
34Without ProtectedCatBoostAge Range_intDemographic Parity Diff0.134559
35Without ProtectedCatBoostAge Range_intEqualized Odds Diff0.150000
36Without ProtectedCatBoostItalian ResidenceDemographic Parity Diff0.100952
37Without ProtectedCatBoostItalian ResidenceEqualized Odds Diff0.336957
38Without ProtectedCatBoostEuropean ResidenceDemographic Parity Diff0.115607
39Without ProtectedCatBoostEuropean ResidenceEqualized Odds Diff0.829787
40Without ProtectedLightGBMSex_intDemographic Parity Diff0.061950
41Without ProtectedLightGBMSex_intEqualized Odds Diff0.030956
42Without ProtectedLightGBMProtected categoryDemographic Parity Diff0.013014
43Without ProtectedLightGBMProtected categoryEqualized Odds Diff0.172043
44Without ProtectedLightGBMAge Range_intDemographic Parity Diff0.134559
45Without ProtectedLightGBMAge Range_intEqualized Odds Diff0.333333
46Without ProtectedLightGBMItalian ResidenceDemographic Parity Diff0.081567
47Without ProtectedLightGBMItalian ResidenceEqualized Odds Diff0.173913
48Without ProtectedLightGBMEuropean ResidenceDemographic Parity Diff0.115607
49Without ProtectedLightGBMEuropean ResidenceEqualized Odds Diff0.829787
50Without ProtectedEnsembleSex_intDemographic Parity Diff0.057537
51Without ProtectedEnsembleSex_intEqualized Odds Diff0.058043
52Without ProtectedEnsembleProtected categoryDemographic Parity Diff0.010731
53Without ProtectedEnsembleProtected categoryEqualized Odds Diff0.182796
54Without ProtectedEnsembleAge Range_intDemographic Parity Diff0.140441
55Without ProtectedEnsembleAge Range_intEqualized Odds Diff0.138158
56Without ProtectedEnsembleItalian ResidenceDemographic Parity Diff0.098545
57Without ProtectedEnsembleItalian ResidenceEqualized Odds Diff0.326087
58Without ProtectedEnsembleEuropean ResidenceDemographic Parity Diff0.113295
59Without ProtectedEnsembleEuropean ResidenceEqualized Odds Diff0.819149
\n", "
" ], "text/plain": [ " Setting Model Attribute Metric \\\n", "0 With Protected CatBoost Sex_int Demographic Parity Diff \n", "1 With Protected CatBoost Sex_int Equalized Odds Diff \n", "2 With Protected CatBoost Protected category Demographic Parity Diff \n", "3 With Protected CatBoost Protected category Equalized Odds Diff \n", "4 With Protected CatBoost Age Range_int Demographic Parity Diff \n", "5 With Protected CatBoost Age Range_int Equalized Odds Diff \n", "6 With Protected CatBoost Italian Residence Demographic Parity Diff \n", "7 With Protected CatBoost Italian Residence Equalized Odds Diff \n", "8 With Protected CatBoost European Residence Demographic Parity Diff \n", "9 With Protected CatBoost European Residence Equalized Odds Diff \n", "10 With Protected LightGBM Sex_int Demographic Parity Diff \n", "11 With Protected LightGBM Sex_int Equalized Odds Diff \n", "12 With Protected LightGBM Protected category Demographic Parity Diff \n", "13 With Protected LightGBM Protected category Equalized Odds Diff \n", "14 With Protected LightGBM Age Range_int Demographic Parity Diff \n", "15 With Protected LightGBM Age Range_int Equalized Odds Diff \n", "16 With Protected LightGBM Italian Residence Demographic Parity Diff \n", "17 With Protected LightGBM Italian Residence Equalized Odds Diff \n", "18 With Protected LightGBM European Residence Demographic Parity Diff \n", "19 With Protected LightGBM European Residence Equalized Odds Diff \n", "20 With Protected Ensemble Sex_int Demographic Parity Diff \n", "21 With Protected Ensemble Sex_int Equalized Odds Diff \n", "22 With Protected Ensemble Protected category Demographic Parity Diff \n", "23 With Protected Ensemble Protected category Equalized Odds Diff \n", "24 With Protected Ensemble Age Range_int Demographic Parity Diff \n", "25 With Protected Ensemble Age Range_int Equalized Odds Diff \n", "26 With Protected Ensemble Italian Residence Demographic Parity Diff \n", "27 With Protected Ensemble Italian Residence Equalized Odds Diff \n", "28 With Protected Ensemble European Residence Demographic Parity Diff \n", "29 With Protected Ensemble European Residence Equalized Odds Diff \n", "30 Without Protected CatBoost Sex_int Demographic Parity Diff \n", "31 Without Protected CatBoost Sex_int Equalized Odds Diff \n", "32 Without Protected CatBoost Protected category Demographic Parity Diff \n", "33 Without Protected CatBoost Protected category Equalized Odds Diff \n", "34 Without Protected CatBoost Age Range_int Demographic Parity Diff \n", "35 Without Protected CatBoost Age Range_int Equalized Odds Diff \n", "36 Without Protected CatBoost Italian Residence Demographic Parity Diff \n", "37 Without Protected CatBoost Italian Residence Equalized Odds Diff \n", "38 Without Protected CatBoost European Residence Demographic Parity Diff \n", "39 Without Protected CatBoost European Residence Equalized Odds Diff \n", "40 Without Protected LightGBM Sex_int Demographic Parity Diff \n", "41 Without Protected LightGBM Sex_int Equalized Odds Diff \n", "42 Without Protected LightGBM Protected category Demographic Parity Diff \n", "43 Without Protected LightGBM Protected category Equalized Odds Diff \n", "44 Without Protected LightGBM Age Range_int Demographic Parity Diff \n", "45 Without Protected LightGBM Age Range_int Equalized Odds Diff \n", "46 Without Protected LightGBM Italian Residence Demographic Parity Diff \n", "47 Without Protected LightGBM Italian Residence Equalized Odds Diff \n", "48 Without Protected LightGBM European Residence Demographic Parity Diff \n", "49 Without Protected LightGBM European Residence Equalized Odds Diff \n", "50 Without Protected Ensemble Sex_int Demographic Parity Diff \n", "51 Without Protected Ensemble Sex_int Equalized Odds Diff \n", "52 Without Protected Ensemble Protected category Demographic Parity Diff \n", "53 Without Protected Ensemble Protected category Equalized Odds Diff \n", "54 Without Protected Ensemble Age Range_int Demographic Parity Diff \n", "55 Without Protected Ensemble Age Range_int Equalized Odds Diff \n", "56 Without Protected Ensemble Italian Residence Demographic Parity Diff \n", "57 Without Protected Ensemble Italian Residence Equalized Odds Diff \n", "58 Without Protected Ensemble European Residence Demographic Parity Diff \n", "59 Without Protected Ensemble European Residence Equalized Odds Diff \n", "\n", " Score \n", "0 0.057537 \n", "1 0.035931 \n", "2 0.111872 \n", "3 0.849462 \n", "4 0.167831 \n", "5 0.333333 \n", "6 0.098545 \n", "7 0.347826 \n", "8 0.113295 \n", "9 0.840426 \n", "10 0.069165 \n", "11 0.030956 \n", "12 0.013014 \n", "13 0.172043 \n", "14 0.156066 \n", "15 0.250000 \n", "16 0.081567 \n", "17 0.173913 \n", "18 0.115607 \n", "19 0.829787 \n", "20 0.066364 \n", "21 0.016650 \n", "22 0.015297 \n", "23 0.150538 \n", "24 0.140441 \n", "25 0.250000 \n", "26 0.103358 \n", "27 0.358696 \n", "28 0.117919 \n", "29 0.851064 \n", "30 0.054736 \n", "31 0.072968 \n", "32 0.114155 \n", "33 0.838710 \n", "34 0.134559 \n", "35 0.150000 \n", "36 0.100952 \n", "37 0.336957 \n", "38 0.115607 \n", "39 0.829787 \n", "40 0.061950 \n", "41 0.030956 \n", "42 0.013014 \n", "43 0.172043 \n", "44 0.134559 \n", "45 0.333333 \n", "46 0.081567 \n", "47 0.173913 \n", "48 0.115607 \n", "49 0.829787 \n", "50 0.057537 \n", "51 0.058043 \n", "52 0.010731 \n", "53 0.182796 \n", "54 0.140441 \n", "55 0.138158 \n", "56 0.098545 \n", "57 0.326087 \n", "58 0.113295 \n", "59 0.819149 " ] }, "execution_count": 85, "metadata": {}, "output_type": "execute_result" } ], "source": [ "fairness_df" ] }, { "cell_type": "code", "execution_count": 86, "id": "abcb160d", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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SettingModelAttributeGroupPrecisionRecall
0With ProtectedCatBoostSex_int00.8148150.814815
1With ProtectedCatBoostSex_int10.8028170.850746
2With ProtectedCatBoostProtected category00.8061220.849462
3With ProtectedCatBoostProtected category10.0000000.000000
4With ProtectedCatBoostAge Range_int00.8333330.833333
.....................
85Without ProtectedEnsembleAge Range_int61.0000000.833333
86Without ProtectedEnsembleItalian Residence01.0000000.500000
87Without ProtectedEnsembleItalian Residence10.7835050.826087
88Without ProtectedEnsembleEuropean Residence00.0000000.000000
89Without ProtectedEnsembleEuropean Residence10.7857140.819149
\n", "

90 rows × 6 columns

\n", "
" ], "text/plain": [ " Setting Model Attribute Group Precision \\\n", "0 With Protected CatBoost Sex_int 0 0.814815 \n", "1 With Protected CatBoost Sex_int 1 0.802817 \n", "2 With Protected CatBoost Protected category 0 0.806122 \n", "3 With Protected CatBoost Protected category 1 0.000000 \n", "4 With Protected CatBoost Age Range_int 0 0.833333 \n", ".. ... ... ... ... ... \n", "85 Without Protected Ensemble Age Range_int 6 1.000000 \n", "86 Without Protected Ensemble Italian Residence 0 1.000000 \n", "87 Without Protected Ensemble Italian Residence 1 0.783505 \n", "88 Without Protected Ensemble European Residence 0 0.000000 \n", "89 Without Protected Ensemble European Residence 1 0.785714 \n", "\n", " Recall \n", "0 0.814815 \n", "1 0.850746 \n", "2 0.849462 \n", "3 0.000000 \n", "4 0.833333 \n", ".. ... \n", "85 0.833333 \n", "86 0.500000 \n", "87 0.826087 \n", "88 0.000000 \n", "89 0.819149 \n", "\n", "[90 rows x 6 columns]" ] }, "execution_count": 86, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pergroup_df" ] }, { "cell_type": "code", "execution_count": 87, "id": "44da1a8a", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "
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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "\n", "fairness_df['Model_Setting'] = fairness_df['Model'] + ' | ' + fairness_df['Setting']\n", "\n", "plt.figure(figsize=(18, 7))\n", "\n", "fairness_df['Attribute_Model'] = fairness_df['Attribute'] + ' | ' + fairness_df['Model']\n", "\n", "metrics = fairness_df['Metric'].unique()\n", "\n", "for metric in metrics:\n", " plt.figure(figsize=(18, 7))\n", " subset = fairness_df[fairness_df['Metric'] == metric]\n", "\n", " order = sorted(subset['Attribute_Model'].unique(), key=lambda x: x.split(' | ')[0])\n", " \n", " sns.barplot(\n", " data=subset,\n", " x='Attribute_Model',\n", " y='Score',\n", " hue='Setting', \n", " palette='Set2',\n", " ci=None,\n", " order=order\n", " )\n", " \n", " plt.title(f\"Fairness Metric: {metric} (With vs Without Protected Attributes)\")\n", " plt.axhline(0, linestyle='--', color='gray')\n", " plt.xticks(rotation=75, ha='right')\n", " plt.ylabel('Score')\n", " plt.xlabel('Attribute | Model')\n", " plt.legend(title='Setting')\n", " plt.tight_layout()\n", " plt.show()\n" ] }, { "cell_type": "code", "execution_count": 88, "id": "a63234e8", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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", 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", 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", 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", 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", 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", 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", 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", 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", 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "\n", "performance_df['Model+Setting'] = performance_df['Model'] + ' | ' + performance_df['Setting']\n", "fairness_df['Model+Setting'] = fairness_df['Model'] + ' | ' + fairness_df['Setting']\n", "pergroup_df['Model+Setting'] = pergroup_df['Model'] + ' | ' + pergroup_df['Setting']\n", "\n", "plt.figure(figsize=(10, 6))\n", "melted_perf = performance_df.melt(\n", " id_vars=['Model+Setting'], \n", " value_vars=['Precision', 'Recall', 'F1 Score'],\n", " var_name='Metric', \n", " value_name='Value'\n", ")\n", "sns.barplot(data=melted_perf, x='Model+Setting', y='Value', hue='Metric', palette='pastel')\n", "plt.title(\"Model Performance: With vs Without Protected Attributes\")\n", "plt.xticks(rotation=45)\n", "plt.ylim(0.6, 1)\n", "plt.tight_layout()\n", "plt.show()\n", "\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "\n", "\n", "for attr in protected_attributes:\n", " df_attr = pergroup_df[pergroup_df['Attribute'] == attr]\n", "\n", " for metric in ['Precision', 'Recall']:\n", " plt.figure(figsize=(12, 6))\n", " sns.barplot(\n", " data=df_attr,\n", " x='Group',\n", " y=metric,\n", " hue='Model+Setting',\n", " palette='Set2'\n", " )\n", " plt.title(f\"{metric} by Group for '{attr}': With vs Without Protected Attributes\")\n", " plt.ylim(0, 1)\n", " plt.xticks(rotation=45)\n", " plt.legend(title='Model + Setting')\n", " plt.tight_layout()\n", " plt.show()\n", "\n", "\n" ] }, { "cell_type": "markdown", "id": "3b94a829", "metadata": {}, "source": [ "#### Analysis Summary: Impact of Including Protected Attributes on Model Performance and Fairness\n", "\n", "##### Predictive Performance\n", "Including protected attributes **consistently improves model performance** across all three models:\n", "\n", "- **CatBoost** saw an increase in precision from **0.780 → 0.806**, and in F1 score from **0.804 → 0.823**.\n", "- **LightGBM** maintained similar precision (**0.780**) but improved slightly in recall.\n", "- **Ensemble** benefited the most, with precision rising to **0.784** and F1 score to **0.816**, making it the top performer in the \"With Protected\" setting.\n", "\n", "Overall, incorporating protected features allows models to better capture patterns associated with subgroup characteristics, boosting predictive accuracy and balance.\n", "\n", "---\n", "\n", "##### Fairness Metrics\n", "\n", "**Demographic Parity Difference (DPD)**\n", "\n", "- There is **no systematic reduction or increase** in DPD when protected attributes are **omitted**, even though the goal of omission was to improve fairness.\n", "- Changes vary significantly by model and group:\n", " - *CatBoost → Age Range*: DPD increases from **0.135 (Without)** to **0.168 (With)**.\n", " - *LightGBM → Protected category*: DPD stays consistently low (**0.013**) in both settings.\n", "\n", "**Conclusion**: Although we expected that **omitting protected attributes would reduce bias**, the results show **no consistent improvement in demographic parity**. Impacts are **highly model- and attribute-dependent**.\n", "\n", "**Equalized Odds Difference (EOD)**\n", "\n", "- Similarly, **no clear trend emerges** when protected attributes are removed:\n", " - *CatBoost → Protected category*: EOD increases slightly from **0.839 (Without)** to **0.849 (With)**.\n", " - *Ensemble → European Residence*: EOD also increases from **0.819 (Without) → 0.851 (With)**.\n", " - *Ensemble → Sex_int*: EOD improves, decreasing from **0.058 (Without) → 0.017 (With)**.\n", "\n", "**Conclusion**: Despite the intention that **removing protected attributes might improve equalized odds**, the data shows **no systematic benefit**. In some cases, disparities even worsen, reinforcing that **omission alone is not a reliable fairness strategy**.\n", "\n", "---\n", "\n", "##### Key Takeaways\n", "- **Including protected attributes improves overall accuracy and helps mitigate demographic parity gaps.**\n", "- **Equalized odds disparities persist**, especially for sensitive attributes like “Protected category” and “European Residence”.\n", "- **Ensemble model** consistently outperforms others in balancing performance and fairness when protected attributes are used.\n", "- **Omitting protected features** generally results in **slightly lower or unchanged F1 scores**, and **does not lead to consistent improvements in fairness metrics**. In some cases, fairness disparities even **increase**, indicating that omission is **not a reliable fairness strategy**.\n" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.12" } }, "nbformat": 4, "nbformat_minor": 5 }