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@yunisangadji
Created March 21, 2024 07:28
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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"id": "5ceb62b1",
"metadata": {},
"outputs": [],
"source": [
"## 1\n",
"\n",
"Tingkatan dan Keberagaman:\n",
"\n",
"Data: Fakta mentah dan terisolasi, tanpa konteks atau makna. Contoh: tanggal lahir, nilai ujian, transaksi keuangan.\n",
"Informasi: Dihasilkan dari pengolahan data, memberikan makna dan konteks. Contoh: laporan penjualan, analisis pasar, berita terkini.\n",
"Pengetahuan: Diperoleh dari pengalaman, pembelajaran, dan penerapan informasi. Contoh: keahlian di bidang tertentu, pemahaman mendalam tentang suatu masalah.\n",
"Kearifan: Pemahaman yang mendalam dan penerapan pengetahuan secara bijaksana. Contoh: nasihat bijak, kepemimpinan yang efektif.\n",
"\n",
"Arah Waktu: Masa Lalu dan Masa Depan\n",
"\n",
"Masa Lalu (Pengalaman):\n",
"- Data dikumpulkan dari berbagai sumber.\n",
"- Data diolah dan dianalisis untuk menghasilkan informasi.\n",
"\n",
"Masa Depan (Kebaruan):\n",
"- Informasi diubah menjadi pengetahuan melalui pembelajaran.\n",
"- Pengetahuan diterapkan untuk mencapai tujuan dan memecahkan masalah.\n",
"- Kebijaksanaan muncul dari akumulasi pengetahuan dan penerapannya.\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "bc43c89e",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 800x800 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"\n",
"# Definisikan label untuk setiap tingkatan\n",
"labels = ['Data', 'Informasi', 'Pengetahuan', 'Kearifan']\n",
"\n",
"# Definisikan ukuran dan warna untuk setiap tingkatan\n",
"sizes = [30, 60, 90, 120]\n",
"colors = ['#F7CAC9', '#F7CAC9', '#DF0030', '#336B8B']\n",
"\n",
"# Buat plot pai\n",
"plt.figure(figsize=(8, 8))\n",
"plt.pie(sizes, labels=labels, autopct='%1.1f%%', startangle=90, colors=colors, shadow=True)\n",
"plt.title('Piramida DIKW')\n",
"plt.axis('equal') # Menjaga agar rasio aspek tetap\n",
"\n",
"# Tampilkan plot\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b2be7085",
"metadata": {},
"outputs": [],
"source": [
"## 2\n",
"\n",
"Kegunaan Data dan Metadata: Perbedaan dan Kebutuhan\n",
"\n",
"Data:\n",
"Lebih bermanfaat untuk:\n",
"- Analisis langsung\n",
"- Pengambilan keputusan berdasarkan fakta\n",
"- Representasi realitas mentah\n",
"\n",
"Metadata:\n",
"Lebih bermanfaat untuk:\n",
"\n",
"Mengelola dan memahami data:\n",
"- Memberikan konteks dan deskripsi data\n",
"- Memudahkan pencarian dan pengorganisasian data\n",
"- Meningkatkan interoperabilitas data\n",
"\n",
"Meningkatkan nilai data:\n",
"- Memberikan informasi tambahan tentang asal, format, struktur, dan makna data\n",
"- Memungkinkan analisis yang lebih mendalam\n",
"- Mendukung pelacakan dan kepatuhan\n",
"\n",
"Kesimpulan:\n",
"Data dan metadata saling melengkapi.\n",
"Data adalah bahan baku, sedangkan metadata adalah alat untuk memaksimalkan potensinya.\n",
"\n",
"Mengapa Metadata Diperlukan?\n",
"Mempermudah Pengelolaan Data:\n",
"- Metadata membantu melacak asal, format, dan struktur data.\n",
"- Hal ini memudahkan pencarian, pengorganisasian, dan analisis data.\n",
"\n",
"Meningkatkan Nilai Data:\n",
"- Metadata memberikan informasi kontekstual tentang data.\n",
"- Hal ini memungkinkan interpretasi dan analisis data yang lebih mendalam.\n",
"- Metadata juga mendukung pelacakan dan kepatuhan terhadap peraturan.\n",
"\n",
"Meningkatkan Interoperabilitas Data:\n",
"- Metadata memungkinkan pertukaran data yang lebih mudah antara sistem yang berbeda.\n",
"- Hal ini meningkatkan kolaborasi dan efisiensi.\n",
"\n",
"3 Jenis Metadata dan Penjelasan Singkat:\n",
"- Metadata Deskriptif:\n",
"Memberikan informasi tentang isi dan struktur data, seperti judul, penulis, dan format file.\n",
"- Metadata Teknis:\n",
"Memberikan informasi tentang cara data dibuat, disimpan, dan diakses, seperti tanggal pembuatan, platform, dan pengaturan keamanan.\n",
"- Metadata Administratif:\n",
"Memberikan informasi tentang kepemilikan, hak cipta, dan izin penggunaan data."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "59a2f6ba",
"metadata": {},
"outputs": [],
"source": [
"## 3\n",
"\n",
"Pekerjaan dan Tujuan Ilmu Data sebagai Data Scientist\n",
"Pekerjaan Data Scientist:\n",
"\n",
"Sebagai seorang Data Scientist, saya bertanggung jawab untuk:\n",
"\n",
"- Mengumpulkan dan membersihkan data: Mengumpulkan data dari berbagai sumber, seperti database, API, dan sensor. Membersihkan data dari noise, inkonsistensi, dan missing values.\n",
"- Menganalisis data: Menerapkan teknik statistik, machine learning, dan visualisasi data untuk memahami pola, tren, dan hubungan dalam data.\n",
"- Membangun model prediktif: Mengembangkan model machine learning untuk memprediksi hasil di masa depan dan memberikan rekomendasi.\n",
"- Mengkomunikasikan hasil: Mempresentasikan temuan dan wawasan yang diperoleh dari analisis data kepada stakeholders.\n",
"- Mengembangkan dan memelihara infrastruktur data: Membangun dan memelihara sistem untuk penyimpanan, pengelolaan, dan akses data.\n",
"\n",
"Tujuan Ilmu Data:\n",
"\n",
"Tujuan utama ilmu data adalah untuk:\n",
"\n",
"- Mengekstrak pengetahuan dan wawasan dari data: Mengubah data mentah menjadi informasi yang berguna dan bermakna.\n",
"- Membantu pengambilan keputusan yang lebih baik: Memberikan informasi dan rekomendasi yang didasarkan pada bukti dan analisis data.\n",
"- Meningkatkan efisiensi dan produktivitas: Mengotomatiskan tugas, mengoptimalkan proses, dan meningkatkan kinerja.\n",
"- Memprediksi masa depan: Mengidentifikasi tren dan pola untuk memprediksi kemungkinan hasil di masa depan.\n",
"\n",
"Aspek Fundamental Ilmu Data:\n",
"\n",
"- Keahlian Statistik: Memahami konsep statistik dan probabilitas untuk menganalisis data dan membangun model.\n",
"- Keahlian Pemrograman: Mampu menggunakan bahasa pemrograman seperti Python, R, dan SQL untuk memanipulasi dan menganalisis data.\n",
"- Keahlian Machine Learning: Memahami algoritma machine learning dan mampu menerapkannya untuk membangun model prediktif.\n",
"- Keahlian Komunikasi: Mampu mengkomunikasikan temuan dan wawasan data dengan cara yang jelas dan efektif kepada stakeholders.\n",
"- Keahlian Domain: Memiliki pengetahuan dan pemahaman tentang domain di mana data dipelajari."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "98d0fbae",
"metadata": {},
"outputs": [],
"source": [
"## 4\n",
"\n",
"Pentingnya Reprodusibilitas\n",
"\n",
"Dalam ilmu data dan pemrograman, reprodusibilitas sangatlah penting. Hal ini berarti bahwa program yang ditulis dapat dijalankan kembali dengan hasil yang sama, terlepas dari lingkungan di mana program tersebut dijalankan.\n",
"\n",
"Khususnya untuk program yang kompleks dan menggunakan banyak library dan package, reprodusibilitas menjadi semakin penting karena:\n",
"\n",
"- Kompleksitas: Program dengan banyak library dan package dapat menjadi sulit untuk dikonfigurasi dengan benar di setiap lingkungan.\n",
"- Versi: Library dan package sering kali diperbarui, dan versi yang berbeda dapat menyebabkan hasil yang berbeda.\n",
"- Ketergantungan: Program mungkin bergantung pada library dan package tertentu yang tidak tersedia di semua lingkungan.\n",
"- Virtual Environment sebagai Solusi\n",
"- Virtual environment di Python menawarkan solusi untuk memastikan reprodusibilitas program. Virtual environment adalah lingkungan terisolasi di mana program dapat dijalankan dengan dependensi yang independen dari sistem operasi dan instalasi Python global.\n",
"\n",
"Manfaat menggunakan virtual environment:\n",
"\n",
"- Menginstal library dan package spesifik: Anda dapat menginstal library dan package yang diperlukan untuk program Anda tanpa memengaruhi instalasi Python global.\n",
"- Mengisolasi dependensi: Program Anda tidak akan terpengaruh oleh perubahan pada instalasi Python global atau program lain yang menggunakan library dan package yang sama.\n",
"- Memastikan reprodusibilitas: Anda dapat membagikan virtual environment Anda dengan orang lain untuk memastikan bahwa program Anda dijalankan dengan hasil yang sama di lingkungan yang berbeda.\n",
"\n",
"Cara Menggunakan Virtual Environment\n",
"Berikut adalah langkah-langkah untuk menggunakan virtual environment di Python:\n",
"\n",
"1. Instal virtualenv: Pastikan Anda memiliki Python 3.6 atau versi yang lebih tinggi. Jalankan perintah berikut di terminal: \n",
" \n",
" pip install virtualenv\n",
" \n",
"2. Buat virtual environment: Buat virtual environment untuk project Anda dengan nama yang diinginkan:\n",
" \n",
" virtualenv project_saya\n",
" \n",
"3. Aktifkan virtual environment: Aktifkan virtual environment sebelum menjalankan program Anda:\n",
" \n",
" source project_saya/bin/activate\n",
" \n",
"4. Instal library dan package: Instal library dan package yang diperlukan untuk program Anda:\n",
" \n",
" pip install numpy pandas matplotlib\n",
" \n",
"5. Jalankan program Anda seperti biasa.\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "ea5653e8",
"metadata": {},
"outputs": [],
"source": [
"#READ DATA FROM STORAGE\n",
"import numpy as np\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "3eed6867",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" MW22 MW23 LAT UR20 UR21 UR22 UR23 LONG \\\n",
"0 3166460 3413666 4.695135 6.59 6.30 6.17 6.03 96.749399 \n",
"1 2522609 2710493 2.115355 6.91 6.33 6.16 5.89 99.545097 \n",
"2 2512539 2742476 -0.739940 6.88 6.52 6.28 5.94 100.800005 \n",
"3 2938564 3191662 0.293347 6.32 4.42 4.37 4.23 101.706829 \n",
"4 2649034 2943000 -1.485183 5.13 5.09 4.59 4.53 102.438058 \n",
"5 3144446 3404177 -3.319437 5.51 4.98 4.63 4.11 103.914399 \n",
"6 2238094 2418280 -3.577847 4.07 3.65 3.59 3.42 102.346388 \n",
"7 2440486 2633284 -3.238462 4.67 4.69 4.52 4.23 130.145273 \n",
"8 3264884 3498479 3.945651 5.25 5.03 4.77 4.56 108.142867 \n",
"9 3050172 3279194 -4.558585 10.34 9.91 8.23 6.80 105.406808 \n",
"10 4641854 4901798 -6.211544 10.95 8.50 7.18 6.53 106.845172 \n",
"11 2501203 2661280 -7.090911 10.46 9.82 8.31 7.44 107.668887 \n",
"12 1841487 1986670 -7.150975 6.48 5.95 5.57 5.13 110.140259 \n",
"13 1812935 1958169 -7.875385 4.57 4.56 4.06 3.69 110.426209 \n",
"14 1840915 1981782 -7.536064 5.84 5.74 5.49 4.88 112.238402 \n",
"15 1891567 2040244 -6.405817 10.64 8.98 8.09 7.52 106.064018 \n",
"16 2516971 2713672 -8.409518 5.63 5.37 4.80 2.69 115.188916 \n",
"17 2207212 2371407 -8.652933 4.22 3.01 2.89 2.80 117.361648 \n",
"18 1975000 2123994 -8.657382 4.28 3.77 3.54 3.14 121.079370 \n",
"19 2434328 2608601 -0.278781 5.81 5.82 5.11 5.05 111.475285 \n",
"20 2922516 3181013 -1.681488 4.58 4.53 4.26 4.10 113.382355 \n",
"21 2906473 3149977 -3.092642 4.74 4.95 4.74 4.31 115.283759 \n",
"22 3014497 3201396 1.640630 6.87 6.83 5.71 5.31 116.419389 \n",
"23 3016738 3251702 -2.741051 4.97 4.58 4.33 4.01 106.440587 \n",
"24 3310723 3485000 0.624693 7.37 7.06 6.61 6.10 123.975002 \n",
"25 2390739 2599546 -1.430025 3.77 3.75 3.00 2.95 121.445618 \n",
"26 3165876 3385145 -3.668799 6.31 5.72 4.51 4.33 119.974053 \n",
"27 2576016 2758948 -4.144910 4.58 3.92 3.36 3.15 122.174605 \n",
"28 2800580 2989350 0.699937 4.28 3.01 2.58 3.06 122.446724 \n",
"29 2678863 2871794 -2.844137 3.32 3.13 2.34 2.27 119.232078 \n",
"30 2619312 2812827 1.570999 7.57 6.93 6.88 6.31 127.808769 \n",
"31 3200000 3282000 -1.336115 6.80 5.84 5.37 5.38 133.174716 \n",
"32 3561932 3864696 -4.269928 4.28 3.33 2.83 2.67 138.080353 \n",
"\n",
" GDPACMP20 GDPACMP21 ... EI14 EI15 EI16 EI17 EI18 ID \\\n",
"0 -0.37 2.81 ... 66.60 67.37 68.12 69.18 69.94 1 \n",
"1 -1.07 2.61 ... 64.78 65.73 66.51 67.22 67.63 2 \n",
"2 -1.61 3.29 ... 65.08 65.84 66.94 67.79 67.95 3 \n",
"3 -1.13 3.36 ... 62.82 63.71 64.36 65.39 66.15 4 \n",
"4 -0.51 3.70 ... 60.77 61.45 62.23 62.92 63.27 5 \n",
"5 -0.11 3.58 ... 58.16 59.31 60.07 60.94 61.00 6 \n",
"6 -0.02 3.27 ... 63.75 64.22 65.07 65.93 66.42 7 \n",
"7 -1.66 2.77 ... 58.93 59.23 59.74 60.58 61.09 8 \n",
"8 -2.29 5.05 ... 55.54 57.09 57.93 58.79 59.11 9 \n",
"9 -3.80 3.43 ... 66.89 67.17 67.40 68.22 68.31 10 \n",
"10 -2.39 3.55 ... 69.52 70.66 71.63 72.46 72.81 11 \n",
"11 -2.52 3.74 ... 59.26 59.95 60.67 61.63 61.75 12 \n",
"12 -2.65 3.33 ... 56.88 57.82 58.42 59.15 59.58 13 \n",
"13 -2.67 5.58 ... 70.70 71.75 72.71 73.47 74.29 14 \n",
"14 -2.33 3.56 ... 58.09 58.98 60.16 60.83 61.02 15 \n",
"15 -3.39 4.49 ... 61.48 61.86 63.18 63.93 64.43 16 \n",
"16 -9.34 -2.46 ... 62.16 63.55 64.09 65.19 65.58 17 \n",
"17 -0.62 2.30 ... 57.60 58.60 59.19 60.39 60.85 18 \n",
"18 -0.84 2.52 ... 57.98 58.76 59.43 60.14 60.72 19 \n",
"19 -1.82 4.80 ... 55.78 57.12 57.63 58.22 58.59 20 \n",
"20 -1.41 3.59 ... 59.23 60.72 61.35 62.22 62.76 21 \n",
"21 -1.82 3.48 ... 58.55 59.77 60.44 61.24 61.39 22 \n",
"22 -2.90 2.55 ... 66.70 67.10 67.88 68.67 69.57 23 \n",
"23 -1.09 3.99 ... 62.62 62.68 63.27 64.26 65.18 24 \n",
"24 -0.99 4.16 ... 63.33 64.14 64.73 65.63 66.02 25 \n",
"25 4.86 11.68 ... 61.63 61.89 62.96 63.86 64.87 26 \n",
"26 -0.71 4.64 ... 60.79 61.55 62.39 63.39 63.79 27 \n",
"27 -0.65 4.10 ... 62.24 63.57 64.51 65.31 66.55 28 \n",
"28 -0.02 2.40 ... 57.92 58.78 59.51 60.41 61.06 29 \n",
"29 -2.34 2.57 ... 55.63 57.06 58.08 59.03 59.97 30 \n",
"30 -0.91 3.63 ... 68.10 68.20 69.04 69.91 70.60 31 \n",
"31 -0.76 -0.51 ... 56.17 56.86 57.59 58.47 59.04 32 \n",
"32 2.39 15.16 ... 46.82 47.60 48.92 50.18 51.82 33 \n",
"\n",
" AREA POP10 POP20 PROVINCE \n",
"0 56500.51 4494410 5274871 Aceh \n",
"1 72427.81 12982204 14799361 Sumatera Utara \n",
"2 42224.65 4846909 5534472 Sumatera Barat \n",
"3 87844.23 5538367 6394087 Riau \n",
"4 45348.49 3092265 3548228 Jambi \n",
"5 91592.43 7450394 8467432 Sumatera Selatan \n",
"6 19795.15 1715518 2010670 Bengkulu \n",
"7 37735.15 7608405 9007848 Lampung \n",
"8 16424.14 1223296 1455678 Kepulauan Bangka Belitung \n",
"9 8084.01 1679163 2064564 Kepulauan Riau \n",
"10 740.29 9607787 10562088 Daerah Khusus Ibukota Jakarta \n",
"11 36925.05 43053732 48274162 Jawa Barat \n",
"12 32799.71 32382657 36516035 Jawa Tengah \n",
"13 3133.15 3457491 3668719 Daerah Istimewa Yogyakarta \n",
"14 46689.64 37476757 40665696 Jawa Timur \n",
"15 9018.64 10632166 11904562 Banten \n",
"16 5449.37 3890757 4317404 Bali \n",
"17 19708.79 4500212 5320092 Nusa Tenggara Barat \n",
"18 46137.87 4683827 5325566 Nusa Tenggara Timur \n",
"19 120114.32 4395983 5414390 Kalimantan Barat \n",
"20 153564.50 2212089 2669969 Kalimantan Tengah \n",
"21 37530.52 3626616 4073584 Kalimantan Selatan \n",
"22 194849.08 3553143 3766039 Kalimantan Timur \n",
"23 72567.49 738163 701814 Kalimantan Utara \n",
"24 13930.73 2270596 2621923 Sulawesi Utara \n",
"25 68089.83 2635009 2985734 Sulawesi Tengah \n",
"26 46116.45 8034776 9073509 Sulawesi Selatan \n",
"27 36757.45 2232586 2624875 Sulawesi Tenggara \n",
"28 12165.44 1040164 1171681 Gorontalo \n",
"29 16787.19 1158651 1419229 Sulawesi Barat \n",
"30 47350.42 1533506 1848923 Maluku \n",
"31 114566.40 760422 1134068 Papua Barat \n",
"32 309934.40 2833381 4303707 Papua \n",
"\n",
"[33 rows x 26 columns]\n"
]
}
],
"source": [
"data = pd.read_csv(\"D:/file yuni/data23.csv\")\n",
"print(data)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "b1d3da5d",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>MW22</th>\n",
" <th>MW23</th>\n",
" <th>LAT</th>\n",
" <th>UR20</th>\n",
" <th>UR21</th>\n",
" <th>UR22</th>\n",
" <th>UR23</th>\n",
" <th>LONG</th>\n",
" <th>GDPACMP20</th>\n",
" <th>GDPACMP21</th>\n",
" <th>...</th>\n",
" <th>EI14</th>\n",
" <th>EI15</th>\n",
" <th>EI16</th>\n",
" <th>EI17</th>\n",
" <th>EI18</th>\n",
" <th>ID</th>\n",
" <th>AREA</th>\n",
" <th>POP10</th>\n",
" <th>POP20</th>\n",
" <th>PROVINCE</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>3166460</td>\n",
" <td>3413666</td>\n",
" <td>4.695135</td>\n",
" <td>6.59</td>\n",
" <td>6.30</td>\n",
" <td>6.17</td>\n",
" <td>6.03</td>\n",
" <td>96.749399</td>\n",
" <td>-0.37</td>\n",
" <td>2.81</td>\n",
" <td>...</td>\n",
" <td>66.60</td>\n",
" <td>67.37</td>\n",
" <td>68.12</td>\n",
" <td>69.18</td>\n",
" <td>69.94</td>\n",
" <td>1</td>\n",
" <td>56500.51</td>\n",
" <td>4494410</td>\n",
" <td>5274871</td>\n",
" <td>Aceh</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2522609</td>\n",
" <td>2710493</td>\n",
" <td>2.115355</td>\n",
" <td>6.91</td>\n",
" <td>6.33</td>\n",
" <td>6.16</td>\n",
" <td>5.89</td>\n",
" <td>99.545097</td>\n",
" <td>-1.07</td>\n",
" <td>2.61</td>\n",
" <td>...</td>\n",
" <td>64.78</td>\n",
" <td>65.73</td>\n",
" <td>66.51</td>\n",
" <td>67.22</td>\n",
" <td>67.63</td>\n",
" <td>2</td>\n",
" <td>72427.81</td>\n",
" <td>12982204</td>\n",
" <td>14799361</td>\n",
" <td>Sumatera Utara</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2512539</td>\n",
" <td>2742476</td>\n",
" <td>-0.739940</td>\n",
" <td>6.88</td>\n",
" <td>6.52</td>\n",
" <td>6.28</td>\n",
" <td>5.94</td>\n",
" <td>100.800005</td>\n",
" <td>-1.61</td>\n",
" <td>3.29</td>\n",
" <td>...</td>\n",
" <td>65.08</td>\n",
" <td>65.84</td>\n",
" <td>66.94</td>\n",
" <td>67.79</td>\n",
" <td>67.95</td>\n",
" <td>3</td>\n",
" <td>42224.65</td>\n",
" <td>4846909</td>\n",
" <td>5534472</td>\n",
" <td>Sumatera Barat</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2938564</td>\n",
" <td>3191662</td>\n",
" <td>0.293347</td>\n",
" <td>6.32</td>\n",
" <td>4.42</td>\n",
" <td>4.37</td>\n",
" <td>4.23</td>\n",
" <td>101.706829</td>\n",
" <td>-1.13</td>\n",
" <td>3.36</td>\n",
" <td>...</td>\n",
" <td>62.82</td>\n",
" <td>63.71</td>\n",
" <td>64.36</td>\n",
" <td>65.39</td>\n",
" <td>66.15</td>\n",
" <td>4</td>\n",
" <td>87844.23</td>\n",
" <td>5538367</td>\n",
" <td>6394087</td>\n",
" <td>Riau</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2649034</td>\n",
" <td>2943000</td>\n",
" <td>-1.485183</td>\n",
" <td>5.13</td>\n",
" <td>5.09</td>\n",
" <td>4.59</td>\n",
" <td>4.53</td>\n",
" <td>102.438058</td>\n",
" <td>-0.51</td>\n",
" <td>3.70</td>\n",
" <td>...</td>\n",
" <td>60.77</td>\n",
" <td>61.45</td>\n",
" <td>62.23</td>\n",
" <td>62.92</td>\n",
" <td>63.27</td>\n",
" <td>5</td>\n",
" <td>45348.49</td>\n",
" <td>3092265</td>\n",
" <td>3548228</td>\n",
" <td>Jambi</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 26 columns</p>\n",
"</div>"
],
"text/plain": [
" MW22 MW23 LAT UR20 UR21 UR22 UR23 LONG GDPACMP20 \\\n",
"0 3166460 3413666 4.695135 6.59 6.30 6.17 6.03 96.749399 -0.37 \n",
"1 2522609 2710493 2.115355 6.91 6.33 6.16 5.89 99.545097 -1.07 \n",
"2 2512539 2742476 -0.739940 6.88 6.52 6.28 5.94 100.800005 -1.61 \n",
"3 2938564 3191662 0.293347 6.32 4.42 4.37 4.23 101.706829 -1.13 \n",
"4 2649034 2943000 -1.485183 5.13 5.09 4.59 4.53 102.438058 -0.51 \n",
"\n",
" GDPACMP21 ... EI14 EI15 EI16 EI17 EI18 ID AREA POP10 \\\n",
"0 2.81 ... 66.60 67.37 68.12 69.18 69.94 1 56500.51 4494410 \n",
"1 2.61 ... 64.78 65.73 66.51 67.22 67.63 2 72427.81 12982204 \n",
"2 3.29 ... 65.08 65.84 66.94 67.79 67.95 3 42224.65 4846909 \n",
"3 3.36 ... 62.82 63.71 64.36 65.39 66.15 4 87844.23 5538367 \n",
"4 3.70 ... 60.77 61.45 62.23 62.92 63.27 5 45348.49 3092265 \n",
"\n",
" POP20 PROVINCE \n",
"0 5274871 Aceh \n",
"1 14799361 Sumatera Utara \n",
"2 5534472 Sumatera Barat \n",
"3 6394087 Riau \n",
"4 3548228 Jambi \n",
"\n",
"[5 rows x 26 columns]"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.head()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "b657ccf7",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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rK/yc0qVLk4+PjyStTZs2lJqaSpcuXRLTtmzZQhUrViQDAwPS0NAgTU1NWrZsGd26dSvPNqtVq0bFihUTX1taWpKFhYXYTPD27Vs6f/48NW3aVNJhuVixYir9wmjUqJHktfxXp/xzzp49S2lpadSiRQvJcoGBgQpHLhZmGYtS2bJlycbGRnzt6elJRNnN7np6ennSC8pTTEwMtWnThqysrEhdXZ00NTWpatWqRER5yi4IQp7vyNvbW+ly37hxgzQ1NUlTU5Osra3pjz/+oLZt24pNO3v27KFq1aqRtbW15NiuV68eEWXXvuTUoEEDUldXl+QlZ5lv375NT58+pTZt2khqRuzt7Sk4OFipPOdWFNuUA0A9evSgyMhIWr9+vcJmuvzWkze/1qpVi4iIHB0dKSQkhLZt20apqalERKSnp0dBQUF0+PBhIiI6dOgQGRsb08CBAyk9PZ3+97//EVF2LZ68tk5OlfNDVQ8ePKDQ0FCys7OjpUuX5nn/Y6MA83vvw4cP1LRpU3r48CFt2bJFMuI4JSWFevToQYMHD6YyZcqonN+nT58SkeKmX6KCj3NlAchTvrdv34rbNjc3p759+1K9evXyNJuqIr99qCjdwsKCZDIZxcfH57u9ojxHFCnoXnDmzBn68OEDtW3bVrJccHBwnoEvR48epVKlSondAuQ6duxIAPLUOBZ0Dbp37x79888/4mfnvK7Vr1+fnj17JtYali9fnvbv309Dhgyh48ePF9jaIqfKNfxL0Sh4kf+e1atXk6enJ2loaJClpSWVKFFCfO/58+cEgCwtLRWu6+TkJHmdc93ccjdv5EyTV/9u376dWrRoQc2bN6eBAweSlZUVaWho0IIFC2j58uV51jczM8uTpq2tLR6kr169IplM9tHPVkbuz9HW1iYiEj9Hnn9F+yl3WmGXsSiZmppKXmtpaX00XdH0EXJv3ryhypUrk46ODo0fP57c3NxIT0+PHj9+TE2bNs1THj09vTyjB7W1tT/6GTk5OzvTxo0bSRAE0tHRIUdHR0kw+vz5c9q9ezdpamoqXD8hIUHyWtljIL9jLWf/RWUVxTbl0tPTadOmTVS6dGkxmFXG0aNHKTY2lvr37y8GcURELVq0oGPHjtGGDRuoR48eRJTdHDtu3Dh6+/YtHT58mKpXr05mZmbk5+dHhw8fJicnJ4qNjaUxY8aI21H1/FDFw4cPqVq1aqShoUFHjhzJcxybmZnR5cuX86z39u1bSk9Pz7M8UXbTcVhYGP3vf/+jPXv2UIUKFSTvDx8+nDQ1NenXX3+l5ORkIso+F4iy+zklJyeTkZFRvgGP/PjKbyRtQce5vD9fbGyswvXl5UtISCBfX19Juq6urti8rq2tTfb29mRoaJjvdj5Gfv4oaupLSkpSuG/lZf7Yta4ozxFFPvc6kFNiYqLCH/7W1taSbSn72fKuURERERQREaEw//Lr2uzZs8nW1pY2bdpEU6ZMIR0dHapTpw5NnTqVXF1dFa6r6jX8S+HATgFPT0/y9/dX+F7x4sVJEARxDqXccqd97Neuol9d8jT5Abt27VpydHSkTZs2Sbb1qR3mTUxMSBCEj352YZDnX9E0B/Hx8ZKTt7DLqAr5hTItLU3y3eUOYorC0aNH6enTp3T8+HHxFx4RiTe7wiYfwJKf4sWLk7e3N02YMEHh+/KLq7Lkx4Ayx1rO7yGn/ILJwtymnLa2Nh07dozq1KlDNWvWpAMHDpCJiYnCZXOSd7CfPn06TZ8+XeH78sCuRo0aNHLkSDp58iQdOXKEIiMjxfSDBw+So6Oj+FquqM6Phw8fUkhICAGg48ePk62tbZ5lvLy8aOPGjRQfHy+5CV+7do2IKE+NW1paGjVp0oSOHTtGO3fulJRD7vr16/TgwQOFN3r5tCGvXr0iY2NjhfkuXrw4EWUHP4oUdJz7+fmRiYkJ7dq1iyZNmqTwGr1r1y6SyWRiDaycmpraR7etCvm+u3btWp5pUa5du6awNlNeZvk+UESVc+RLKCg/Oe8FZmZmCuc9lNfSfqzcisiXHzp0KDVt2lThMvIBOPr6+jRmzBgaM2YMPX/+XKy9a9iwIf3zzz8K1/3S13BlcVOsiuTzPD158oT8/f3z/Hl5eSm9rRs3btCVK1ckaevXr6dixYpRuXLliCg7MNTS0pJcfOLj4z9rRFz58uVp+/btkpqe169f0+7duz9pm4pUqFCBtLW1adOmTZL0s2fP5mk6LOwyqkJ+Ubl69aokvTD3RX7k5c39Y2DRokVF/tmKhIaG0vXr18nZ2Vnhsa1qYOfu7k4lSpSgDRs2SEaHPnz4kP766y/Jsvl9D7t27Srybebk6+tLJ06coLi4OAoJCckzUWxur169oqioKKpYsSIdO3Ysz1/btm3p/PnzYkf48uXLk6GhIc2cOZPi4+PFwKFmzZoUHR1NmzdvplKlSkn2dVGcH48ePaKQkBDKysqio0eP5mkSk2vcuDEJgkCrVq2SpK9cuZJ0dXWpbt26Ypq8pu7o0aO0bds2qlOnjsJtzpw5M89+mjFjBhFljzo8duzYRyeLlndzuH//vkplltPS0qKBAwfSrVu3JKOR5V68eEFDhw4lS0vLIp3fzcbGhsqXL09r166VDDQ4e/Ys3b59W2EgEhMTQ2ZmZvm2GBGpdo58CYGBgaSjo0Pr1q2TpP/111957gU1atSgmzdvSroiEWW3ogmCoNKAGaLsfeHq6kpXrlxReE3z9/eXdOuRs7S0pI4dO1Lr1q3p9u3b9O7dO4Xb/9au4XJcY6eiihUrUvfu3alTp0504cIFqlKlCunr69OzZ8/of//7H3l5eVHPnj2V2pa1tTU1atSIRo8eTSVKlKC1a9fSoUOHaMqUKWLTQWhoKG3fvp169epFzZo1o8ePH9O4ceOoRIkSdPfu3U8qw7hx46hu3bpUq1YtGjBgAGVlZdGUKVNIX18/31/BqjI1NaX+/fvTpEmTyMTEhMLCwiguLo7GjBlDJUqUkEwJUBRl/JicN8j69euTqakpdenShcaOHUsaGhq0cuVKhdMzFLbg4GAyMTGhX375hSIjI0lTU5PWrVuXJ9j/UsaOHUuHDh2i4OBgCg8PJ3d3d/rw4QM9ePCA9u3bRwsXLlRYq5MfNTU1GjduHHXt2pXCwsKoW7dulJycTKNHj85TW2NlZUU1a9YUjxd7e3s6cuQIbd++vci3mZunpyedOnWKatasSVWqVKHDhw/nW+5169bRhw8fKDw8XOEM+mZmZrRu3TpatmwZzZgxg9TV1alq1aq0e/ducnR0JGdnZyLKvq5oa2vTkSNHKDw8XLKNwj4/Xrx4QdWqVaNnz57RsmXL6MWLF5IA1tbWVixv6dKlqUuXLhQZGUnq6uoUEBBABw8epMWLF9P48eMlzYXNmjWj/fv30/Dhw8nMzEwy7YShoSGVKlWKiLL7qeandOnSBT6JwNbWlpycnOjs2bN59pWyBg8eTFeuXBH/bdmyJRkZGdHVq1dp6tSp9Pr1a9qzZw8ZGRl90vblT9CQj9S/cOGCGKw2a9ZMXG7KlClUq1Ytat68OfXq1YtevHhBQ4YMoTJlyuSZYoYoO+irWrXqR1uCVDlHvgQTExOKiIig8ePHU9euXal58+b0+PFjhfnp168frV69mho0aEBjx44le3t72rt3L82fP5969uxJbm5uKn/+okWLqF69elSnTh3q2LEj2djYUFJSEt26dYsuXbpEW7ZsIaLsyojQ0FDy9vYmExMTunXrFq1Zs0Z8Kogi39o1XPRVhmx8o/KboFiR5cuXo0KFCtDX14euri6cnZ3Rvn17XLhwQVxG0WSZcvIJirdu3YrSpUtDS0sLDg4OmD59ep5lJ0+eDAcHB2hra8PT0xNLlixRODqH8plAUtFIuV27dsHb2xtaWlooWbIkJk+erHCb+Y2KzT16TdFIQ5lMhvHjx8PW1hZaWlrw9vbGnj174OPjk2eEVFGUMbcbN26AiDBnzhxJ+t9//43g4GDo6+vDxsYGkZGRWLp0qcJRsYomlVaUJ2VH4P71118ICgqCnp4ezM3N0bVrV1y6dOmjozZzUnbS448dizm9fPkS4eHhcHR0hKamJkxNTeHn54fhw4eLI/E+NtEzKRhht3TpUri6ukJLSwtubm5Yvny5wolSnz17hmbNmsHU1BRGRkb4+eefceHCBYWjCgt7m4r2b1xcHDw8PODg4ID79+8r3F9ly5aFhYUF0tLS8t2ngYGBKF68uLjMrFmzQETo1q2bZLlatWrlGUktp+z5ocx5ID+H8/vL/f2lp6cjMjISJUuWFPf37Nmz82z3Y9ssaBJaVUbFAtmTxpuYmIgjieWUPc6B7OvTunXrEBISAmNjY2hpacHR0RE9e/bMMzIcUG0S64/ti9wOHjyIwMBA6OjowNTUFO3bt1c42fO9e/dARNi2bZtSeVD2HFH0nedXJkWjYpW9F0yaNAl2dnbivWD37t0KJyh++PAh2rRpAzMzM2hqasLd3R1Tp06VTPys6jXoypUraNGiBSwsLKCpqQkrKytUr15dMjJ6yJAh8Pf3h4mJCbS1teHk5IR+/fohISFBXOZzruFfkgDken4MY0UoNjaWPDw8KDIyskgej/MxUVFR1LRpU9q7d2+Bj/phjH27nj59So6OjrR69Wpq2bLl187OFzFy5EhavXq1OCcfY/nhwI4VmStXrtCGDRsoODiYDA0N6fbt2/T7779TamoqXb9+/aP9RArT/fv36fLlyzRs2DBKTU2l2NhYlZ9NyRj7tgwePJj2799Ply9fVvppD9+r5ORkcnJyojlz5uSZNoSx3DjsZ0VGX1+fLly4QMuWLROnMAgJCaEJEyZ8saCOKLtP4ebNm6lChQq0adMmDuoY+wGMGDGC9PT06MmTJ2RnZ/e1s1OkYmNjaejQodSmTZuvnRX2HeAaO8YYY4yxH8SPXX/NGGOMMfYfwoEdY4wxxtgPggM7xhhjjLEfBAd2jDHGGGM/CA7sGGOMMcZ+ED9MYHfy5Elq2LAhWVtbkyAItGPHDpXWHz16NAmCkOdPX1+/aDLMGGOMMVbIfpjA7u3bt+Tj40Nz5879pPUjIiLo2bNnkr9SpUpR8+bNCzmnjDHGGGNF44cJ7OrVq0fjx4+npk2bKnw/PT2dBg0aRDY2NqSvr08VKlSg48ePi+8bGBiQlZWV+Pf8+XO6efMmdenS5QuVgDHGGGPs8/xnnjzRqVMnevDgAW3cuJGsra0pKiqK6tatS9euXSNXV9c8yy9dupTc3NyocuXKXyG3jDHGGGOq+2Fq7D7m/v37tGHDBtqyZQtVrlyZnJ2dKSIigipVqkQrVqzIs3xaWhqtW7eOa+sYY4wx9l35T9TYXbp0iQCQm5ubJD0tLY3MzMzyLL99+3Z6/fo1tW/f/ktlkTHGGGPss/0nAjuZTEbq6up08eJFUldXl7xnYGCQZ/mlS5dSaGgoWVlZfaksMsYYY4x9tv9EYOfr60tZWVn04sWLAvvMxcbG0rFjx2jXrl1fKHeMMcYYY4Xjhwns3rx5Q/fu3RNfx8bG0uXLl8nU1JTc3Nyobdu21L59e/rjjz/I19eXEhIS6OjRo+Tl5UX169cX11u+fDmVKFGC6tWr9zWKwRhjjDH2yQQA+NqZKAzHjx+natWq5Unv0KEDrVy5kjIyMmj8+PG0evVqevLkCZmZmVFQUBCNGTOGvLy8iCi7ydbe3p7at29PEyZM+NJFYIwxxhj7LD9MYMcYY4wx9l/3n5juhDHGGGPsv4ADO8YYY4yxH8R3PXhCJpPR06dPqVixYiQIwtfODmOMMcZYoQNAr1+/Jmtra1JT+3id3Hcd2D19+pTs7Oy+djYYY4wxxorc48ePydbW9qPLfNeBXbFixYgou6CGhoZfOTeMMcYYY4UvNTWV7OzsxLjnY77rwE7e/GpoaMiBHWOMMcZ+aMp0O+PBE4wxxhhjPwgO7BhjjDHGfhAc2DHGGGOM/SA4sGOMMcYY+0FwYMcYY4wx9oPgwI4xxhhj7Aeh9HQnAOjEiRN06tQpevDgAb17947Mzc3J19eXatasyRMFM8YYY4x9ZQXW2L1//54mTpxIdnZ2VK9ePdq7dy8lJyeTuro63bt3jyIjI8nR0ZHq169PZ8+e/RJ5ZowxxhhjChRYY+fm5kYVKlSghQsXUp06dUhTUzPPMg8fPqT169dTy5YtacSIEdStW7ciySxjTDUOQ/aqvM6DyQ2KICeMMca+hAIDu/3791OZMmU+uoy9vT0NHTqUBgwYQA8fPiy0zDHGGGOMMeUV2BRbUFCXk5aWFrm6un5WhhhjjDHG2KdR6VmxV69eVZguCALp6OhQyZIlSVtbu1AyxhhjjDHGVKNSYFe2bNmPPoBWU1OTWrZsSYsWLSIdHZ3PzhxjjDHGGFOeSvPYRUVFkaurKy1evJguX75M0dHRtHjxYnJ3d6f169fTsmXL6OjRozRixIiiyi9jjDHGGMuHSjV2EyZMoFmzZlGdOnXENG9vb7K1taWRI0fS33//Tfr6+jRgwACaNm1aoWeWMcYYY4zlT6Uau2vXrpG9vX2edHt7e7p27RoRZTfXPnv2rHByxxhjjDHGlKZSYOfh4UGTJ0+m9PR0MS0jI4MmT55MHh4eRET05MkTsrS0LNxcMsYYY4yxAqnUFDtv3jxq1KgR2drakre3NwmCQFevXqWsrCzas2cPERHFxMRQr169iiSzjDHGGGMsfyoFdsHBwfTgwQNau3Yt3blzhwBQs2bNqE2bNlSsWDEiImrXrl2RZJQxxhhjjH2cSoEdEZGBgQH98ssvhZ6RSZMm0bBhw+i3336jmTNnFvr2GWOMMcZ+dCoHdnfu3KHjx4/TixcvSCaTSd4bNWrUJ2Xi/PnztHjxYvL29v6k9RljjDHGmIqB3ZIlS6hnz55UvHhxsrKykkxWLAjCJwV2b968obZt29KSJUto/PjxKq/PGGOMMcayqRTYjR8/niZMmECDBw8utAz07t2bGjRoQDVr1iwwsEtLS6O0tDTxdWpqKhERZWZmUmZmJhERqampkZqaGslkMkmNojw9KyuLABSYrq6uToIgiNvNmU5ElJWVpVS6hoYGAZCkC4JA6urqefKYXzqXicv0qWUSCKSRY+w7QJQJgdQIpK4oXYDkc7/FMv2I3xOXicvEZeIyFVQmZakU2L169YqaN2+uyioftXHjRrp06RKdP39eqeUnTZpEY8aMyZMeHR1N+vr6RERkbm5Ozs7OFBsbSy9fvhSXsbW1JVtbW7pz5w6lpKSI6U5OTmRhYUHXr1+n9+/fi+keHh5kbGxM0dHRkp3s7e1NWlpadOHCBUke/P39KT09XfI8XXV1dQoICKCUlBT6559/xHRdXV3y8fGhhIQEiomJEdONjIzI09OTnj59SnFxcWI6l4nL9KllstEnqmf774UpOZ1oS6w6uRqBqlj9e6GIe0e0/7E6+ZpBsv1vsUw/4vfEZeIycZm4TAWVSVkCVAgDu3TpQgEBAYUyeOLx48fk7+9PBw8eJB8fHyIiCgkJobJly+Y7eEJRjZ2dnR0lJiaSoaEhEX27kfaP+OuBy/Ttl8lxyB6Va+zujKv7TZfpR/yeuExcJi4Tl+ljZUpJSSFjY2NKSUkR4538qBTYTZo0iaZPn04NGjQgLy8v0tTUlLwfHh6u7KZox44dFBYWJhaEKLswgiCQmpoapaWlSd5TJDU1lYyMjJQqKGP/RQ5D9qq8zoPJDYogJ4wxxj6VKvGOSoGdo6Nj/hsSBEkVZ0Fev35NDx8+lKR16tSJPDw8aPDgwVSmTJkCt8GBHWMfx4EdY4x9/1SJd1TqYxcbG/tZGcupWLFieYI3fX19MjMzUyqoY4wxxhhjUio9K5YxxhhjjH27VJ6gOC4ujnbt2kWPHj2i9PR0yXvTp0//rMwcP378s9ZnjDHGGPsvUymwO3LkCDVq1IgcHR3p9u3bVKZMGXrw4AEBoHLlyhVVHhljjDHGmBJUaoodOnQoDRgwgK5fv046Ojq0bds2evz4MVWtWrVQ57djjDHGGGOqUymwu3XrFnXo0IGIsudVef/+PRkYGNDYsWNpypQpRZJBxhhjjDGmHJUCO319fXGCYGtra7p//774XkJCQuHmjDHGGGOMqUSlPnaBgYF0+vRpKlWqFDVo0IAGDBhA165do+3bt1NgYGBR5ZExxhhjjClBpcBu+vTp9ObNGyIiGj16NL1584Y2bdpELi4uNGPGjCLJIGOMMcYYU47SgV1WVhY9fvyYvL29iYhIT0+P5s+fX2QZY4wxfnIGY4ypRuk+durq6lSnTh1KTk4uwuwwxhhjjLFPpdLgCS8vL5WeB8sYY4wxxr4clQK7CRMmUEREBO3Zs4eePXtGqampkj/GGGOMMfb1qDR4om7dukRE1KhRIxIEQUwHQIIgUFZWVuHmjjHGGGOMKU2lwO7YsWNFlQ/GGGOMMfaZVArsqlatWlT5YIwxxhhjn0mlwO78+fO0YcMGunPnDgmCQG5ubtS6dWvy9/cvqvwxxhhjjDElKT14YtCgQVShQgVaunQpxcXF0aNHj2jx4sVUoUIFGjx4cFHmkTHGGGOMKUGpwG7VqlU0Z84cmj17NiUmJtLly5fpypUrlJSURDNmzKDZs2fT6tWrizqvjDHGGGPsI5Rqip03bx5NnDiRfv31V0m6pqYmhYeHU2ZmJs2dO5fat29fJJlkjDHGGGMFU6rG7saNG9S4ceN832/SpAnduHGj0DLFGGOMMcZUp1Rgp66uTunp6fm+n5GRQerq6oWWKcYYY4wxpjqlAjs/Pz9at25dvu+vWbOGypUrV2iZYowxxhhjqlOqj92AAQOoSZMmlJaWRgMGDCBLS0siIoqPj6c//viDZs6cSVFRUUWaUcYYY4wx9nFKBXahoaE0Y8YMioiIoD/++IOMjIyIiCglJYXU1dVp6tSpFBoaWqQZZYwxxhhjH6f0BMV9+vShsLAw2rJlC929e5eIiNzc3Oinn34iOzu7IssgY4wxxhhTjkpPnrC1taV+/foVVV4YY4wxxthnUPrJE4wxxhhj7NvGgR1jjDHG2A+CAzvGGGOMsR8EB3aMMcYYYz8IDuwYY4wxxn4QKo2KzcrKohkzZtDmzZvp0aNHeR4zlpSUVKiZY4wxxhhjylOpxm7MmDE0ffp0atGiBaWkpFD//v2padOmpKamRqNHjy6iLDLGGGOMMWWoVGO3bt06WrJkCTVo0IDGjBlDrVu3JmdnZ/L29qazZ89SeHh4UeWTMfYVOAzZq/I6DyY3KIKcMMYYU4ZKNXbx8fHk5eVFREQGBgaUkpJCRNmPHNu7V/UbAGOMMcYYKzwqBXa2trb07NkzIiJycXGhgwcPEhHR+fPnSVtbu/BzxxhjjDHGlKZSYBcWFkZHjhwhIqLffvuNRo4cSa6urtS+fXvq3LlzkWSQMcYYY4wpR6U+dpMnTxb/36xZM7Kzs6PTp0+Ti4sLNWrUqNAzxxhjjDHGlKdSYHfy5EkKDg4mDY3s1SpUqEAVKlSgzMxMOnnyJFWpUqVIMskYY4wxxgqmUlNstWrVFM5Vl5KSQtWqVSu0TDHGGGOMMdWpFNgBIEEQ8qQnJiaSvr6+yh++YMEC8vb2JkNDQzI0NKSgoCDav3+/ytthjDHGGGNKNsU2bdqUiIgEQaCOHTtKRsBmZWXR1atXKTg4WOUPt7W1pcmTJ5OLiwsREa1atYoaN25M0dHRVLp0aZW3xxhjjDH2X6ZUYGdkZERE2TV2xYoVI11dXfE9LS0tCgwMpG7duqn84Q0bNpS8njBhAi1YsIDOnj3LgR1jjDHGmIqUCuxWrFhBREQODg4UERHxSc2uBcnKyqItW7bQ27dvKSgoqNC3zxhjjDH2o1NpVGxkZGShZ+DatWsUFBREHz58IAMDA4qKiqJSpUopXDYtLY3S0tLE16mpqURElJmZSZmZmUREpKamRmpqaiSTyUgmk4nLytOzsrIIQIHp6urqJAiCuN2c6UTZgagy6RoaGgRAki4IAqmrq+fJY37pXCYu06eWSSCQRo6etABRJgRSI5C6onQBks9VF0BZEEhdAKnl6F6bBSIZBNIQQDm73Wb9f7ELq0yaapCkZ8iEAssk/4zv6Xv6EY89LhOXictUuGVSlkqBnaOjo8LBE3IxMTGqbI6IiNzd3eny5cuUnJxM27Ztow4dOtCJEycUBneTJk2iMWPG5EmPjo4WaxHNzc3J2dmZYmNj6eXLl+Iytra2ZGtrS3fu3BEfhUZE5OTkRBYWFnT9+nV6//69mO7h4UHGxsYUHR0t2cne3t6kpaVFFy5ckOTB39+f0tPT6erVq2Kauro6BQQEUEpKCv3zzz9iuq6uLvn4+FBCQoJknxkZGZGnpyc9ffqU4uLixHQuE5fpU8tko09Uz/bfC1NyOtGWWHVyNQJVsfr3QhH3jmj/Y3XyNYNk+xUtQSfjBapoCXI3+nf5S4kCXUwQqJatjGz1/s3Lyfjs60Nhlamj6795z5ARrbyrXmCZ5Nv6nr6nH/HY4zJxmbhMhVsmZQlQIQycNWuW5HVGRgZFR0fTgQMHaODAgTRkyBClPzg/NWvWJGdnZ1q0aFGe9xTV2NnZ2VFiYiIZGhoS0bcbaf+Ivx64TN9+mRyH7FG5xu7OuLpiuvvIAyrX2MVMDi20MrkNlz6DWpkau1tjs/P/PX1PP+Kxx2XiMnGZCq9MKSkpZGxsTCkpKWK8kx+Vaux+++03henz5s3LE3l+KgCS4C0nbW1thc+k1dDQECdNlpPv6NzkO07Z9Nzb/ZR0QRAUpueXR1XTuUxcpvzSQQJlyPIuKyOBZIrSId0HWRDEf7MU/ATMhECkIL2wypQhy9tCUFCZlL0WfEvf04947HGZuExEXKb88qhq+sdaS3NTaR67/NSrV4+2bdum8nrDhg2jU6dO0YMHD+jatWs0fPhwOn78OLVt27YwssUYY4wx9p+iUo1dfrZu3UqmpqYqr/f8+XNq164dPXv2jIyMjMjb25sOHDhAtWrVKoxsMcYYY4z9p6gU2Pn6+kqqAwFQfHw8vXz5kubPn6/yhy9btkzldRhjjDHGmGIqBXZNmjSRvFZTUyNzc3MKCQkhDw+PwswXY4wxxhhT0Vefx44xxhhjjBUOpQI7+UTAH92Qhgbp6ekVuBxjjDHGGCsaSgV2xsbGSg211dfXp1q1atGsWbPI1tb2szPHGGOMMcaUp1Rgd+zYsQKXkclk9Pz5c5o3bx51796d9u3b99mZY4wxxhhjylMqsKtatarSG/T29qbAwMBPzhBjjDHGGPs0BU5Q/PbtW5U2aGdnR2vWrPnkDDHGGGOMsU9TYGDn4uJCEydOpKdPn+a7DAA6dOgQ1atXj+bOnUuNGzcu1EwyxhhjjLGCFdgUe/z4cRoxYgSNGTOGypYtS/7+/mRtbU06Ojr06tUrunnzJp05c4Y0NTVp6NCh1L179y+Rb8YYY4wxlkuBgZ27uztt2bKF4uLiaMuWLXTy5En666+/6P3791S8eHHy9fWlJUuWUP369RU+LJcxxhhjjH0ZSk9QbGtrS/369aN+/foVZX4YY4wxxtgn4io2xhhjjLEfBAd2jDHGGGM/CA7sGGOMMcZ+EBzYMcYYY4z9IFQK7NLT0/N9LyEh4bMzwxhjjDHGPp1KgV2LFi1IJpPlSX/+/DmFhIQUVp4YY4wxxtgnUCmwe/bsGXXp0kWSFh8fTyEhIeTh4VGoGWOMMcYYY6pRKbDbt28f/f333+Jcdk+ePKGqVauSl5cXbd68uUgyyBhjjDHGlKP0BMVERGZmZvTnn39SpUqViIho7969VK5cOVq3bh0/dYIxxhhj7CtTKbAjyn4CxaFDh6hSpUpUq1YtWrNmDQmCUBR5Y4wxxhhjKigwsDMxMVEYuL179452795NZmZmYlpSUlLh5o4xxhhjjCmtwMBu5syZXyAbjDHGGGPscxUY2HXo0OFL5IMxxhhjjH0mlfrYPXr06KPvlyxZ8rMywxhjjDHGPp1KgZ2Dg8NHB0pkZWV9doYYY4wxxtinUSmwi46OlrzOyMig6Ohomj59Ok2YMKFQM8YYY4wxxlSjUmDn4+OTJ83f35+sra1p6tSp1LRp00LLGGOMMcYYU02hzCrs5uZG58+fL4xNMcYYY4yxT6RSjV1qaqrkNQB69uwZjR49mlxdXQs1Y4wxxhhjTDUqBXbGxsZ5Bk8AIDs7O9q4cWOhZowxxhhjjKlGpcDu2LFjktdqampkbm5OLi4upKGh8tPJGGOMMcZYIVIpGqtatWpR5YMxxhhjjH2mAgO7Xbt2Kb2xRo0afVZmGGOMMcbYpyswsGvSpInktSAIBEDyWo4nKGaMMcYY+3oKnO5EJpOJfwcPHqSyZcvS/v37KTk5mVJSUmjfvn1Urlw5OnDgwJfIL2OMMcYYy4dKfez69u1LCxcupEqVKolpderUIT09PerevTvdunWr0DPIGGOMMcaUo9IExffv3ycjI6M86UZGRvTgwYPCyhNjjDHGGPsEKgV2AQEB1LdvX3r27JmYFh8fTwMGDKDy5csXeuYYY4wxxpjyVArsli9fTi9evCB7e3tycXEhFxcXKlmyJD179oyWLVum8odPmjSJAgICqFixYmRhYUFNmjSh27dvq7wdxhhjjDGmYh87FxcXunr1Kh06dIj++ecfAkClSpWimjVr5nkihTJOnDhBvXv3poCAAMrMzKThw4dT7dq16ebNm6Svr6/y9hhjjDHG/stUflyEIAhUu3Ztql279md/eO6RtCtWrCALCwu6ePEiValS5bO3zxhjjDH2X6JSYDd27NiPvj9q1KjPykxKSgoREZmamip8Py0tjdLS0sTXqampRESUmZlJmZmZRJT9mDM1NTVxihY5eXpWVpZkHr780tXV1UkQBHG7OdOJ8s7Zl1+6hoYGAZCkC4JA6urqefKYXzqXicv0qWUSCKSRo8MFQJQJgdQIpK4oXYDkc9UFUBYEUhdAajkq5bNAJINAGgIoZ2V91v8Xu7DKpKkGSXqGTCiwTPLP+J6+px/x2OMycZm4TIVbJmWpFNhFRUVJXmdkZFBsbCxpaGiQs7PzZwV2AKh///5UqVIlKlOmjMJlJk2aRGPGjMmTHh0dLTbdmpubk7OzM8XGxtLLly/FZWxtbcnW1pbu3LkjBpBERE5OTmRhYUHXr1+n9+/fi+keHh5kbGxM0dHRkp3s7e1NWlpadOHCBUke/P39KT09na5evSqmqaurU0BAAKWkpNA///wjpuvq6pKPjw8lJCRQTEyMmG5kZESenp709OlTiouLE9O5TFymTy2TjT5RPdt/L0zJ6URbYtXJ1QhUxerfC0XcO6L9j9XJ1wyS7Ve0BJ2MF6iiJcjd6N/lLyUKdDFBoFq2MrLV+zcvJ+Ozo7zCKlNH13/zniEjWnlXvcAyybf1PX1PP+Kxx2XiMnGZCrdMyhKgShioQGpqKnXs2JHCwsKoXbt2n7yd3r170969e+l///sf2draKlxGUY2dnZ0dJSYmkqGhIRF9u5H2j/jrgcv07ZfJccgelWvs7oyrK6a7jzygco1dzOTQQiuT2/C9knRlauxujc3O//f0Pf2Ixx6XicvEZSq8MqWkpJCxsTGlpKSI8U5+VO5jl5uhoSGNHTuWQkNDPzmw69OnD+3atYtOnjyZb1BHRKStrU3a2tp50jU0NEhDQ1oU+Y7OTb7jlE3Pvd1PSRcEQWF6fnlUNZ3LxGXKLx0kUIYs77IyEkimKB3SfZAFQfw3S8FPwEwIRArSC6tMGbK8g7IKKpOy14Jv6Xv6EY89LhOXiYjLlF8eVU1XZYDqZwd2RCQ+XkxVAKhPnz4UFRVFx48fJ0dHx8LIDmOMMcbYf5JKgd3s2bMlrwHQs2fPaM2aNVS3bt181spf7969af369bRz504qVqwYxcfHE1F2u7eurq7K22OMMcYY+y9TKbCbMWOG5LWamhqZm5tThw4daOjQoSp/+IIFC4iIKCQkRJK+YsUK6tixo8rbY4wxxhj7L1MpsIuNjS3UD//McRuMMcYYYywHlR4pxhhjjDHGvl0F1tg1bdpU6Y1t3779szLDGGOMMcY+XYE1dkZGRuKfoaEhHTlyRDKp3sWLF+nIkSNkZGRUpBlljDHGGGMfV2CN3YoVK8T/Dx48mFq0aEELFy6UTKTXq1evAifMY4wxxhhjRUulPnbLly+niIgIySR86urq1L9/f1q+fHmhZ44xxhhjjClPpcAuMzOTbt26lSf91q1bksduMMYYY4yxL0+l6U46depEnTt3pnv37lFgYCAREZ09e5YmT55MnTp1KpIMMsYYY4wx5agU2E2bNo2srKxoxowZ9OzZMyIiKlGiBA0aNIgGDBhQJBlkjDHGGGPKUSmwU1NTo0GDBtGgQYMoNTWViIgHTTDGGGOMfSNUCuxy4oCOMcYYY+zbotLgiefPn1O7du3I2tqaNDQ0SF1dXfLHGGOMMca+HpVq7Dp27EiPHj2ikSNHUokSJUgQhKLKF2OMMcYYU5FKgd3//vc/OnXqFJUtW7aIssMYY4wxxj6VSk2xdnZ2BKCo8sIYY4wxxj6DSoHdzJkzaciQIfTgwYMiyg5jjDHGGPtUKjXFtmzZkt69e0fOzs6kp6dHmpqakveTkpIKNXOMMcYYY0x5KgV2M2fOLKJsMMYYY4yxz6VSYNehQ4eiygdjjDHGGPtMKvWxIyK6f/8+jRgxglq3bk0vXrwgIqIDBw7QjRs3Cj1zjDHGGGNMeSoFdidOnCAvLy86d+4cbd++nd68eUNERFevXqXIyMgiySBjjDHGGFOOSoHdkCFDaPz48XTo0CHS0tIS06tVq0Znzpwp9MwxxhhjjDHlqRTYXbt2jcLCwvKkm5ubU2JiYqFlijHGGGOMqU6lwM7Y2JiePXuWJz06OppsbGwKLVOMMcYYY0x1KgV2bdq0ocGDB1N8fDwJgkAymYxOnz5NERER1L59+6LKI2OMMcYYU4JKgd2ECROoZMmSZGNjQ2/evKFSpUpRlSpVKDg4mEaMGFFUeWSMMcYYY0pQaR47TU1NWrduHY0bN44uXbpEMpmMfH19ydXVtajyxxhjjDHGlKRUYCeTyeiPP/6gHTt2UEZGBtWsWZNGjRpFOjo6RZ0/xhhjjDGmJKWaYqdMmUJDhgwhfX19KlGiBE2fPp3Cw8OLOm+MMcYYY0wFStXYrVy5kubMmUO9evUiouwnTTRp0oQWLVpEgiAUaQZ/FA5D9qq8zoPJDYogJ4wxxhj7USlVY/fw4UMKDQ0VX9epU4cA0NOnT4ssY4wxxhhjTDVKBXbp6emkq6srvhYEgbS0tCgtLa3IMsYYY4wxxlSj9KjYkSNHkp6envg6PT2dJkyYQEZGRmLa9OnTCzd3jDHGGGNMaUoFdlWqVKHbt29L0oKDgykmJkZ8zX3tGGOMMca+LqUCu+PHjxdxNhhjjDHG2OdS6ckTjDHGGGPs28WBHWOMMcbYD4IDO8YYY4yxHwQHdowxxhhjP4ivGtidPHmSGjZsSNbW1iQIAu3YseNrZocxxhhj7Lum9Dx2csnJyfT333/TixcvSCaTSd5r3769Stt6+/Yt+fj4UKdOneinn35SNSuMMfZR/Cg/xth/jUqB3e7du6lt27b09u1bKlasmGTuOkEQVA7s6tWrR/Xq1VNpHcYYY4wxpphKTbEDBgygzp070+vXryk5OZlevXol/iUlJRVVHhljjDHGmBJUqrF78uQJhYeHSx4t9iWlpaVJnk+bmppKRESZmZmUmZlJRERqamqkpqZGMplM0lQsT8/KyiIABaarq6uTIAjidnOmExFlZWUpla6hoUEASFPt320DRJkQSI1A6jlCazFdAKkL9M2XKWe6IAikrq6eJ4/5pXOZvkyZBAJpKDrGPnLs5fxcdQGUBYHUBZBajofLZIFIBoE0BFDOh85k/X+xC6tMOc8bIqIMmVBgmeSfIW9RkJ9PcjLQR8vExx6XicvEZfoWy6QslQK7OnXq0IULF8jJyUmV1QrNpEmTaMyYMXnSo6OjSV9fn4iIzM3NydnZmWJjY+nly5fiMra2tmRra0t37tyhlJQUMd3JyYksLCzo+vXr9P79ezHdw8ODjI2NKTo6WrKTvb29SUtLiy5cuCDJg7+/P6Wnp9PVq1fFNHV1dQoICKCUlBTq6PrvwZGcTrQlVp1cjUBVrP79suLeEe1/rE6+ZqByZhA/41st0z///COm6+rqko+PDyUkJEgeNWdkZESenp709OlTiouLE9O5TF+mTDb6RPVsVTv2cm6/oiXoZLxAFS1B7kb/Ln8pUaCLCQLVspWRbY7feSfjsyOlwipTzvMmQ0a08q56gWWSb0v+HGv5+SR3O0X4aJn42OMycZm4TN9imZQloIAwcNeuXeL/X758SWPHjqVOnTqRl5cXaWpqSpZt1KiR0h+cJyOCQFFRUdSkSZN8l1FUY2dnZ0eJiYlkaGhIRN9upO02/N9O3MrW2N0aW/ebLtOP+IvoRyuT45A9KtfY3RlXV0x3H3lA5Rq7mMmhhVamnOcNkXI1dvLzRhAEch5+QOUau/sT6vKxx2XiMnGZvqkypaSkkLGxMaWkpIjxTn4KrLFTFGiNHTs2T5ogCHkyU9i0tbVJW1s7T7qGhgZpaEiLIt/Rucl3nLLpubf7KemCIFCGTMiTLiOBcg0szk6HQDLk3da3ViZF6fnlUdV0LtO/eVR1ZGfOUZ0ggTIUHWMfOfZy7oMsCOK/WQp+AmZCIFKQXljfk6LzpqAy5d6W/HzKLb8y8bHHZcovncvEZSL6emVSVoGBXe4pTQrTmzdv6N69e+Lr2NhYunz5MpmamlLJkiWL7HMZY4wxxn5EKs9jV5guXLhA1apVE1/379+fiIg6dOhAK1eu/Eq5Yowxxhj7Pqkc2L19+5ZOnDhBjx49ovT0dMl74eHhKm0rJCREpZEejDHGGGMsfyoFdtHR0VS/fn169+4dvX37lkxNTSkhIYH09PTIwsJC5cCOMcYYY4wVHpUmKO7Xrx81bNiQkpKSSFdXl86ePUsPHz4kPz8/mjZtWlHlkTHGGGOMKUGlwO7y5cs0YMAAUldXJ3V1dUpLSyM7Ozv6/fffadiwYUWVR8YYY4wxpgSVmmI1NTXFIbeWlpb06NEj8vT0JCMjI3r06FGRZJAxxhj7L1F1iiMi6TRH7L9NpcDO19eXLly4QG5ublStWjUaNWoUJSQk0Jo1a8jLy6uo8sgYY4wxxpSgUmA3ceJEev36NRERjRs3jjp06EA9e/YkFxcXWrFiRZFkkLHPxb9+GWOM/VeoFNj5+/uL/zc3N6d9+/YVeobYj4cDK8YYY+zLUGnwBGOMMcYY+3YVWGPn6+ur9DPKLl269NkZYowxxhhjn6bAwK5JkyZfIBuMMcYYY+xzFRjYRUZGfol8MMYYY4yxz6Tys2Ll3rx5QzKZTJJmaGj42RlijDHGGGOfRqXBE7GxsdSgQQPS19cnIyMjMjExIRMTEzI2NiYTE5OiyiNjjDHGGFOCSjV2bdu2JSKi5cuXk6WlpdKDKhhjjDHGWNFTKbC7evUqXbx4kdzd3YsqP4wxxhhj7BOp1BQbEBBAjx8/Lqq8MMYYY4yxz6BSjd3SpUvpl19+oSdPnlCZMmVIU1NT8r63t3ehZo4VHlWf/sBPfmCMMca+PyoFdi9fvqT79+9Tp06dxDRBEAgACYJAWVlZhZ5BxhhjjDGmHJUCu86dO5Ovry9t2LCBB08wxhhjjH1jVArsHj58SLt27SIXF5eiyg/Lh6pNqUTcnMoYY4z916gU2FWvXp2uXLnCgR1jjBUx/jHHGPsUKgV2DRs2pH79+tG1a9fIy8srz+CJRo0aFWrmviV8kWWMqeprDlriaxZj/00qBXa//PILERGNHTs2z3s8eIIxxhhj7OtSKbDL/WxYxhhjjDH27VApsGOMsf8Snv+RMfa9USmwU9QEm9OoUaM+KzOMMcZ+DJ/bx4/7CDL2aVQK7KKioiSvMzIyKDY2ljQ0NMjZ2ZkDO8aYBN+cGWPsy1IpsIuOjs6TlpqaSh07dqSwsLBCyxRjjDHGGFPdZ/exMzQ0pLFjx1JoaCi1a9euMPLEvkHc14gxxhj79hXK4Ink5GRKSUkpjE0xxhhjjH0VP0L3EZUCu9mzZ0teA6Bnz57RmjVrqG7duoWaMcYYY+x79CMEB+z7pVJgN2PGDMlrNTU1Mjc3pw4dOtDQoUMLNWOMMcYYY0w1KgV2sbGxRZUPxhhj35D/eq3T99yv+L/+3f3XKRXYNW3atOANaWiQlZUV1apVixo2bPjZGWOMMcYYY6pRU2YhIyOjAv90dXXp7t271LJlS57PjjHGGGPsK1Cqxm7FihVKb3Dv3r3Us2fPAp9SwZiyvvdmhe+5SYcxxr40vmZ+HqVq7FRRsWJF8vf3L+zNMsYYY4yxAhTKPHY5GRsb0/bt2wt7s4x9Nd97jSFjjH1JXOP2dRV6YMcYY4yx7xf/mP2+ffXAbv78+TR16lR69uwZlS5dmmbOnEmVK1f+2tlijDH2HeNao/8mDkqLoI+dKjZt2kR9+/al4cOHU3R0NFWuXJnq1atHjx49+prZYowxxhj7Ln3VwG769OnUpUsX6tq1K3l6etLMmTPJzs6OFixY8DWzxRhjjDH2XfpqTbHp6el08eJFGjJkiCS9du3a9NdffylcJy0tjdLS0sTXKSkpRESUlJREmZmZRJT9mDM1NTWSyWQkk8nEZeXpWVlZBKDAdHV1dRIEQdyuesZbIiLKlBGBiDRzhcQZMiKBiDRypCclJZGGhgYBENcnIgKIMiGQGoHUcywvpgsgdSF7fXkeZWnvSF0AqQn/Lp8FIhkE0hBAQs50GZGMBHr16pVYJvWMt/+fd4E01f4tZ35lSkpKInV19eztZWVJ8p8hE0ggSMqau0zyvAuCQLK0d2KZ5GQgyoKQb5ly511eptxlza9M8mMjb97zfk+KypSUlESCIGTvg7S3H/2eFJVJXn4iIkp/+9HvKXd6SkrKZx178s/W0NAgpL396PekqEw58y6kv/3o96SoTKmpqeL5JM276sdezu8uu6zf9rH38fOm4GMvT94LuEbkLlNycrJ43VPPeFvgNeJjx17OvP8Xjj35Z3/qsZcz72rpbwu8RuQuk6K8f+qxlzfv3/axJ8/7px57Ofe9LO1dgdeI3Om5817QNSJ3mZKTk5WKI3KmE2VfI5RJ19DQEO9pObefL3wlT548ARHh9OnTkvQJEybAzc1N4TqRkZGg7O+Y//iP//iP//iP//jvP/X3+PHjAuOrrz54QsgZ9hIRgDxpckOHDqX+/fuLr2UyGSUlJZGZmVm+6xSl1NRUsrOzo8ePH5OhoSGv/x2t/z3n/b++/vec9+99/e857//19b/nvP8I638uAPT69WuytrYucNmvFtgVL16c1NXVKT4+XpL+4sULsrS0VLiOtrY2aWtrS9KMjY2LKotKMzQ0/Kwvmtf/eut/z3n/r6//Pef9e1//e877f3397znvP8L6n8PIyEip5b7a4AktLS3y8/OjQ4cOSdIPHTpEwcHBXylXjDHGGGPfr6/aFNu/f39q164d+fv7U1BQEC1evJgePXpEv/zyy9fMFmOMMcbYd+mrBnYtW7akxMREGjt2LD179ozKlClD+/btI3t7+6+ZLaVpa2tTZGRknuZhXv/bX/97zvt/ff3vOe/f+/rfc97/6+t/z3n/Edb/kgRAmbGzjDHGGGPsW/dVJyhmjDHGGGOFhwM7xhhjjLEfBAd2jDHGGGM/CA7sWJF4+vTp184CY+wbk7NLN3fvZqxocGDHPlvuC3THjh1pzZo1Xyk3TFk5n6WsrI/djHNv73u6cX/KvijM9b8HuZ9fqSqZTCZ5QpCi4yP3MzUZKwzyY62oz9Nv5ZrHgR0jorwHpLIHaHp6unixfv78ORER1apVS3z0W3JycuFl8gv6Vk7QoqSmln36P3z4UKny5nzc36VLlyTvZWRkiNs7d+4cEeV9XKCyPvVYVLScshdyed579+5NkydPVjrA2LhxIyUmJorr/6gyMjLEB5Tv37+f3r59W8AaUgDEfdS5c2dq0KABqamp0aNHj2j9+vVElL0v27dv/9nB3dc4d+WfeejQIdq4ceMX/3xVyfNbGPuqsPZ3YX9v8nM/IyNDvBa9evWqUD8jp+TkZPFztm/fXmSfo4wf+2r0jfiWgwR53uQXU/nrtLQ0Ivr4jfHhw4cUGRlJ79+/p23btpGnpyc9e/aM2rZtS5qamrR06VLq378/xcTEFHEpPl1+QYSyNy75/vmWv+OP2bZtGzk5OdHRo0cLrI2TX7QOHz5MHTt2pBUrVhAR0datWykiIoKIiPr160fdunWjpKSkT8pPzovwy5cvJZ+rbP7i4+PpyZMnREQFBlw5t3n58mXasWMHBQcHk4ZGwVN8Hjt2jJYuXUrv3r2T5KMg+S3zrR5D+/bto8DAQCLKnlQ+IiKC3rx5o/T6OX8Q3L59m27fvk0RERGUmZlJI0aMoFmzZlF4eDi1adOGatasqdS+z+9zsrKyFNYKqlpTo+qPCUEQ6PTp09SkSRNSV1enjIyMQv2swqxxSktLE/dRamrqJ9fEyvMkP/4/5/jN+b2lpaXRhw8fPnlbcmpqanT//n2aMWMGAaBNmzaRjY0NvXz58rO3ndvu3bupXr169PLlS+rXrx917NhRvAZ9FWCFJi0tDTKZDADw+vVrZGVlie/l/P+3Qp7XQ4cO4ZdffkHjxo0xc+ZM7N27F/Xq1cO9e/cA5J/3+fPnw83NDaGhodDW1sbq1asl70+cOBFeXl7o27cv7t+/X7SF+UzJyckAsvfJnj17EBISgtDQUERGRiItLa3A9Z8+fSqu/71p1KgRSpQogSNHjijMf87vf9OmTejevTtMTU3h7u6OlStXYuvWrRAEAYGBgTA0NMSVK1dUzsPmzZvx8uVL8fXYsWMRFBQEf39/LFq0CM+ePQOgeP/mzN+4ceNQtmxZODo6okKFCrhy5QrS09ML/PyZM2di0KBBGDZsmFL5ledDnq9r167hxYsXefLzsbyePXsWf/31F86cOZNnu9+S6OhoODo6wtHREUZGRrh9+/YnbWfZsmVo0KAB2rZti8zMTGRlZeHdu3eoWLEiBEFA9+7dxWVVvV7GxsZKXs+aNQsdOnRAnz59cP78eZW2Kf8Ojh49il9//RUTJkzAkSNHPrpOTEwM5s+fj1GjRkm2oexnnTt3DjNmzMDMmTNx/PhxhcscPnwY/fv3R5MmTbBx40Y8fvxYqc+QW7duneT1hAkTUL58edSrVw+TJ09WaVtye/fuRf369dG4cWPMmzcPqampBa4jL8/z58/x6NEjvHv3TnxvxowZqFevHipXroyBAwd+Up5ymjFjBvT09NC8eXPo6Ohg+fLln71NRV68eAETExM4OjrC0NAQly9fBgBkZGQUyecVhAO7QhAVFSV5vXv3bgQHB6NOnTro27evmP4tBndRUVHQ09NDeHg4OnXqhJCQEJQtWxZly5ZF48aNERMTAyD/vPfs2ROCIKBmzZrijTnnRe2PP/6Ar68vwsPDv9ngbuXKlWjZsiXu37+Ps2fPQlNTEwMHDkSzZs0QEBCABg0a5Anucu6P/fv3w8nJSQxovsWbM5D3O8yZz7CwMJibm+cb3AHA4MGDYWlpiVmzZmHatGkoW7YsAgICsGTJEoSEhEAQBLRv3z7PtguycuVK2NnZYdy4cfjw4QNWrVoFU1NTLFiwAGFhYfDz80Pv3r0RFxf30W2PHDkSJUqUwOrVq3H//n14eHggICAAf/75Z54LbM5tvHz5Ek2aNIEgCGjXrp1kX8mXu337Nk6dOoXnz59j/vz5WL16tbjMvXv3UKFCBbRp00Y8BxSdLzk/c/jw4XBzc4O9vT1cXFwwaNAgpffX19CpUycIgoCyZcuKaQVdz+TvZ2VlISkpCeHh4bC2tkalSpUAAOnp6Xj9+jVq164Nf39/VK9eHStWrBDXz8zMVCpvv//+OwRBQHR0NABg2LBhKF68OJo3b47g4GAYGxvj0KFDSuVZbs+ePdDS0kKdOnVQpkwZlCpVCkuWLMmzXGZmJp4/fw5BEKCuri4JRgo6B+Tvb9u2DSYmJqhbty78/PwQFBSE6dOnS5bdvn079PX10aNHDzRr1gxBQUFo3769+OO7IFu2bIGpqSmGDx8OAFiyZAnMzMwwZcoUtGrVCl5eXujUqZNS25I7ffo0tLS00L9/f9SoUQNBQUFo164dXr16VWCZo6KiULp0aTg6OsLGxgYjRoxAt27dYG1tjTFjxmDZsmXQ0NBA165dJT/4VHX58mWYmpqCiNCoUSO8fv260K/PGRkZyMrKQnh4OARBgLe3N44fP57nGvIlcWD3mW7evCn+IgCAK1euQFtbGwMHDkS3bt3g5uaGqlWrist/S8HdxYsX4erqKl6wnj59CjMzM5QsWRKenp4ICgpCgwYNFAZ36enpkMlkGDx4MDp37gx/f3/06dMHmzZtwpkzZ3Du3Dlx2enTp6Ns2bIIDw8Xt/UtmTp1Kvz9/dG8eXNMmzYNU6dOhUwmQ1paGrZs2YJy5cqhbt26YnCXcz9ERUWhV69eUFdXR2BgoPhL7VsN7gBgwYIFuHbtGgBpPps0aQJLS0scPXo0z0319u3bcHFxwc6dO8W069evo1WrVvD29kbz5s0xZcoUaGlpoV+/fkrVkuUUEREBPz8/TJo0Cb/99hu2b98uvjd16lQEBgaiV69e+QZ3p06dQrly5XD48GEAwMGDB2FoaAhnZ2dYW1vj4MGDH615vXLlCjp06AAtLS2cOnUKwL/f85YtW2BtbQ0zMzOUKlUKPj4+cHZ2xrZt28RlJkyYgCpVqqBLly4F1tyNHz8eFhYWOHXqFF69eoVBgwZBEAT07t1bpX32JR04cACbNm2Ch4cHAgMD8eHDBwDK1UjIl7179y6GDRsGXV1djB07Vnw/JSUFiYmJaNy4MapUqZKnVqWgGvNLly7hp59+grW1Nc6cOYPhw4fj7NmzALJr8rp27Qp1dXWlg7u4uDhMmzYNixYtApB9jR84cCBsbGywcOFCAP8ef/JtyQPBatWq4cGDBwXuE7mTJ0/C2tpa3O6ZM2dgZGQEGxsbjBkzBgBw4cIFODo6YunSpQCAxMRE8dhu3ry5UtfUp0+fYvz48ShVqhQGDx6MyZMni+dyamoqlixZAjc3N3Ts2FGpfN+5cwfTpk3DH3/8Ie6PefPmITg4GG3atMkT3OXc50eOHIGOjg5+//13nDx5EpGRkXB1dUWxYsWwYcMGAMCff/4JHR0d6OjooGHDhkhISFAqXzmlp6cjLS0NJUuWhJmZGUxMTDBixAjExcUV6vVZXrYdO3agQ4cO0NDQgKamJry8vLB//36xRvJL3hM4sPtMb9++xfr16+Hg4IA2bdrgwIEDmDp1KoDsC9Lx48dhb2+PypUri+t8zeBOfnBlZGTg3LlzaNOmDYDsG6GDgwO6du2KtWvXokSJEvD29kZQUBBCQ0Px8OHDPHkfPny4eBGeOnUqzM3NoaenBxMTE9ja2oq1YEB2zV25cuXQt29f3Llz50sWWSSTyfLd9+PGjYO+vj60tLQwcuRIcfmcwV2DBg3EmxQA9O/fH87Ozhg7diw6deoEd3d3+Pn54eLFi+L635oPHz7A09MTTk5OuHXrFoB/85mWlgYvLy/xgpQz/8+ePYO1tbWkpgoAbt26BSsrK3h4eGD58uXYvHkzNDU10a9fP8lN/88//1SYn5wBZN++fVG+fHnY2Nhg7969kuXkwV3v3r3x8OHDPPv29u3bmD9/PoDsJitzc3PxRujm5gZ/f3/s2rVL8nnTpk1Dw4YNJWVp3rw5zMzM8NdffwHIDkYCAgLEYLh79+4oU6YMfH194e7ujg0bNoj7Y9q0aQgODs4T3OXcX//88w/q1auH/fv3A8gOCIyMjNCtWzfo6uoiPDxc4X76kj5Ws3vhwgW4uroiMDBQ8v2uWbNG0qQmt2LFChgaGoo3+piYGAwZMgROTk7o06cPnj59itTUVGRlZeHRo0do3LgxQkJCsGzZMgDZ15h27doVeM28du0amjZtCjMzM3h6ekqai58+fYpu3bpBU1NTDPzzOzevX7+OUqVKwdPTE0ePHhXTY2JiMHDgQFhbW2Px4sUAsoOwRYsW4c2bNwCyv0t5gP78+fOP5ldu2rRp6Ny5MwDgwYMHcHJyQuvWrdGnTx9YWFhg6tSpOHHiBLp16wYgO1B1cnJC9+7dMW/ePJiamqJNmzb4559/Cvys58+fY9y4cfDx8YGFhQVOnDghvicP7tzd3cX85OfOnTuoUqUKbG1tJbWYGRkZmD9/vlibmJSUhJs3b0rel8lk+OWXX8T7jtyAAQNga2uLCRMmYN++fTA2NsaSJUvEWsEuXbootU8Vfa8fPnxAy5YtYWNjIwZ3T548EZdVtUkbUHwPj4yMRIkSJbBgwQJYWlrCwMAAnp6eWLVqFd69eycG718CB3aF4N27d9iwYYPYB2XChAnie5mZmTh+/DgcHBxQrVq1r5jLf+3atQsTJ04EANy/fx8PHjyAqakpHBwcxGrvwMBAGBgYwMvLCzY2Nvjpp5/Eav/Lly9j1qxZ8Pb2RkBAALZt24azZ8/C3Nwcbm5uaNGiBWbNmoVixYpBS0tL7Hcxffp02NjYYMaMGV+l3DkdP34c8fHx4uvU1FSEhYVBR0cHNjY2YiArk8mQnp6Obdu2wdHREc2aNQOQXdtZsmRJSd+bPXv2oF69evDz8/tmmmUVfX5SUhIqVaoENzc3MbgDsgO7pk2bwtDQEPXr15es8+TJE/j5+SEiIgIfPnyATCbD5s2bMXfuXJQqVQqBgYGoXbs2jh07hi1btkBbWxu9evXCpUuX0LBhQ4SEhOS7L3IGW8OGDYOJiQm6du2KpKQkyXJ//PEHnJyc8Ouvv4pp48ePF2+0z549Q2ZmJho2bCg2bb5//x516tSBlpYWGjVqJNnevn37oKenJza/Atm1M61atYKFhQVWrVqFoUOHokuXLmL/2czMTAwePBhlypSBj48P3N3dsXHjRoXBXe5m2cTERKSnp2P+/PlITk7GqVOnYGNjgwULFgAAunTpAkEQ8PPPPyvcT19CzhvWypUrMWjQIPTs2VNs5gSyj303NzeUK1cOx48fR82aNVG5cmWFN7sLFy7A19cXrq6uYnA3f/58mJqaQkNDA5aWloiIiBD7yD169AjNmzdH6dKlUa5cOZiYmEj6IOaW85i6fPkyOnToAHV1dZw+fVry/tOnT9GjRw8IgiD2uVPkwoULaNOmDfT19bFy5UrJe7GxsRg6dKjYV6tZs2bw8PDA0qVL8fbtWwDZtTaCIODXX39VGIjk7L93/PhxvH//HmfPnsX79+9RqVIlsTn05s2bKFasGDQ0NDB8+HDcv38fmZmZaNKkiaRWzdfXF5aWlujYseNHa8lz9gkdN24cjI2N0atXL8kyr1+/xrJly2BkZITx48fnu603b95g8ODBsLGxQZMmTSTnb2ZmJhYuXAhPT0/UqlULZcqUwfr16yXrd+vWTTwX+/Tpg99//x3p6eno0aMHHBwcEBgYKN5DHz9+DEdHRwiCgIiIiHzzlLOcZ86cwZw5c7B7927s3LkTL1++RFpaGlq2bAkLCwuxSfrWrVuIjIxEsWLF8PbtW6Wv1TmP88WLF2PAgAGoWbMmSpUqhW3btgHIruUXBAF6enowNTWFj48PHB0dv1ilDgd2n0l+MLx580YM7mrVqiVZJisrCydPnkSxYsVQr169r5FNMZ/R0dEwMTHBqlWrxF/cCQkJsLS0hIeHB7p06YKYmBi0a9cOc+fOxdOnTxEUFAQTExM0b94cmzZtQvHixREUFITixYvD2toa3t7e6NixI3r16oWZM2fC398fTk5OsLCwgKGhoaSf4aZNm5TuO1NYfv31V8yaNUt8feTIETg4OGDIkCFizQqQ3STUpEkTqKmpwd3dXfKrPy0tDTt37hSbPc6dOwd9fX2xZkduy5YtMDY2RkBAgHgz/FrBXc6LiEwmw/v378XXycnJCAwMhLu7O27evCk2d7Vv3x537txBVlYWYmJi8Pz5c/GGsXTpUgiCgJkzZ6J///6wtrZGtWrVYGBggJIlS8Le3h5DhgwBkN3PVFdXV7xBy7eRuwlLkYEDB8LX1xdjx47N06Qzb9486Orqonnz5ujXrx8MDAxw/fp18f3U1FT4+vpi3rx5ALJvNB07dkRsbKzCzzxy5AiMjIzQtm1bMU0e3BER9PX1Ua5cOfG9zMxMpKenY/DgwfDx8UHp0qXFmju5adOmoUqVKqhcubJY89S3b1/xxiQ/7wYPHoz27duLQcHo0aMRGhqKunXrfvUuG4MHD4adnR2aNm2KZs2aQUtLS9KX+NatW/D394eHhweqVq2K9PR0ZGVlKTzWr1y5goCAADg6OmLbtm0wMjLCiBEjMGjQIOjo6MDQ0BBt2rTB3bt3AWQHH6tWrcKkSZPyHaiR3/6Jjo5Gw4YNYWZmluf8e/z4MSZPnlxg83F0dDTatGkDBwcHSZcAILs/ZWRkJO7cuYMPHz6gdevW8Pf3x+LFiyXBnba2Njp27CheX3Lul+PHj0NPTw9btmwR0y9dugRvb2+xi8SOHTugpqaGli1bivvlxYsXKF26tHisvXr1Cq1atcLEiRPFLgrK7CN5cOfq6ppnsFBKSgp2795d4DX67du3GD16NMqWLSv+2JPLzMzEsmXLEBUVhZ9++gkhISHYuHGjuB9GjRoFS0tLbNy4Ec7OzmItalRUFNzc3ODs7CwG5i9fvkT37t0RHR390TzJZDKxRaZ06dJQV1eHq6sr9PX10bx5c+zatQsA4OfnhxIlSog1u9bW1pJuQ8rKysrC4MGDYWFhgS5duqBKlSowMTHB3LlzsXXrVpibm2P69OkICAiArq4uDAwMMGfOHLx///6LnNsc2H2inCeq/KaVlpaGTZs2wdzcHK1atZIsn5mZidOnT4sn6ddw6dIlrFixAgMGDADw74mfnJyMKlWqiIMmfHx8UKpUKTx79gzv379H165dMW3aNGzevBkWFhZilfL+/fuhq6sLU1NTGBoaomnTpgCyg54///wTDx48wJgxY1C5cuU8N+gvFdw9efIE7dq1g6enp3iTlclkGDRoEMqUKYOffvoJ69atE2sMXrx4AQsLC2hqasLPz09cXk7+/3v37sHPzw9z586VXNQAICgoCL6+vggJCVG6c3Nhy3nxmD59Olq2bAlfX18sX74cT548AZD9vVesWBHm5uZo3rw5ypcvDy8vL2RmZmLEiBGwt7dH6dKlxU7HQHbQIggCdHR00LhxY1SsWBEODg4QBAEmJibw8/MT98ejR49w7tw5MS/yG2rOvP35559YtGgR/vzzT8m+6tu3L/z8/BQGdxcuXICenh709PRw48YNANLjqXr16ihVqhQmTpyIKlWqwMvLS/xM+U0kp8OHD8PIyEhSU3blyhUMHjwY3bt3h52dHaZOnSrWVMrL0rt3b5QvXx5t27aFp6enJLgbNmwYrK2tYW9vjyZNmkBHR0cyWjgzMxN169YVay7evXuHsLAwrFq1SuF3+CUtWbIEtra2uHDhAoDskY/y2ofcI9+vX7+e5/tdvXp1nvP78uXL8PX1hZ6eHkaMGAEA+Ouvv2BqaoqKFSvC29sbrVu3zjO6VZGc++X8+fO4cOGCmFcg+7sLCwuDlZVVvj+u5M2CAPDw4UPcunVLEkSeP38enTp1gqenJ6KiosRl5bU/ch8+fECLFi0QEBCApUuXis3RmzdvhqmpqThqWi4uLg5//PEHxo0bJ8lXdHQ0zM3NsWjRIly6dAlNmzaFq6srEhMTxfLKf2T/9ttvuHLlCkaNGgU/Pz+Fgwty7qODBw9i5cqViIqKEvuqxcXFYdy4cfD09BQHVOSWmZkp5u/mzZvYs2cPTp8+LbZmvH79GsOHD0eFChUQERGhsC9kdHQ0WrZsiUqVKklG5To7O8PU1BR9+vQRa8P79OmDgIAAGBoaonv37jh48CBq166NKlWqiPnIfVzlfH348GHMmDEDpqamcHNzQ3BwMMaNGwcNDQ3UrFkTW7ZsQb9+/WBiYoLy5ctjy5YtSh1viixduhQlS5bE1q1bAWQPJCEi2NnZwcfHBz179kRmZibevn2LmjVrwszMDB06dFC57/Gn4sDuE8gPsj///BO//vorgoODMXfuXLFv1caNG2FnZ5cnuPtaZDIZMjIyYGdnByJCkyZNcP78ecyZMweLFy/GyZMnsWDBAvj6+sLAwADa2tqoWLEitm/fjgEDBsDLywtxcXEYMmQI+vTpAyC7CdfJyQlhYWGoWLEiihUrBgMDA8mNCciuYSlTpgxSUlK+RtEBZPdrCg8Ph7u7u9jstW3bNhgaGkJHRwfW1tbw8fFBdHQ0Hjx4gHbt2qFVq1YoV66cOCgGyP41m7McHTt2hJOTE/bu3SuesAkJCWjWrBlmzpyJsmXLSkb5fQm5g4GhQ4fC0tISI0aMwJgxY2BgYIABAwZImmAHDBiATp06oVu3bsjIyEBUVBQsLCywefNm/P777wgICICLiwtSU1Px/v17sWm1fv36qFWrFoyMjLBw4UIYGxvDzMwMR48ezRPsKhohNmjQINjY2KBcuXLw8PBAs2bNJP2a+vXrh/Lly2PgwIGS/b5o0SLo6enB2NgYrVu3FtPlN5bU1FTUrFkTlSpVQuPGjcXv5vLlyxAEQeE0Ctu3b4eamhq6dOmC+Ph4Mch8/fo12rVrJ95Q+/bti/DwcMyfPx8ZGRl4/vw5zp8/jy5dusDT0xObNm0Sy3rmzBm4ublBEARMmzZNLL/8/c2bN0NDQwM1atSAr68vvL29xeDoS9by5j5mxo0bJ/4I2rVrF4oVK4ZFixahb9++0NfXx9atW/OsI38dExMDGxsbBAUFSQKDO3fu4MCBA9DV1UWpUqVw7949lCpVCj169ACQHcgbGBhIBmspknO/jBgxAu7u7uLI4pwDMi5fvoyffvoJNjY2+Pvvv/PdTlRUFMqWLQtra2tUrFhRvL4B2T9QO3XqBG9vb2zcuBHnzp1DYGAgduzYISn/u3fvEBoaipIlS2L58uVinzv5jyH5/nnw4AEEQYCxsXGe6UVevHiB7t27w8rKCpqamiAi1K5dO0++J0yYgDJlysDKygp2dnbiPSe/fTR48GA4OzvDw8MDlStXRqVKlcSpmeLi4jB+/HiUKVNG0r0h93a2bdsGOzs7eHh4oEyZMmjQoIE4OOX169cYMWIEKlasiF9++UVhcHfp0iUxuFu7di1iYmJQoUIFqKurQ1dXF5UrV0a9evVgaGiI6Oho7Ny5E6ampvD09ETFihXz1PYDkDS1p6Wl4e3bt3B2dkZoaCgGDBiApKQk+Pv7Q0dHB4GBgfDz84O/vz+aNm2Kbdu2iT9ulZW7uXnevHno1asXdHR00LdvXxgZGWHlypXo0aMH1NXVUa9ePXE/t2/fHpcuXfqi5zYHdp8oKioK+vr6GDBgAEaNGgV/f38EBASI8/Js3LgRjo6OX63pNSf5gZSUlARfX18YGxvDxMQElSpVQuXKleHm5obVq1fj3r17OHv2LGbMmIHatWujRIkS8PHxwapVq3Dr1i3cuXMH0dHReP36Nby9vdG2bVtkZWXhxIkTYnWzs7Mzli5diqysLDx9+hQ1atRAgwYNvkpzZM6T8caNG+jTpw/c3d3Rr18/cTqNoUOHwtXVFUQEIyMjBAYGonHjxkhKSsKUKVPEC+Ho0aPh7+8Pf39/cbQaAISGhsLZ2Rk9evTA9OnTUaVKFbEvpZ+fn8pTCBSmzZs3w8nJSbyxXbhwAYIgwNTUFF27dpV0bJZbt24dFi5cKN7YgewLc7ly5WBubo7U1FScOnUKDx48wLVr1+Dq6oqJEydi2LBhKFasGARBgKWlpaRPliJ//PEH7OzsxAv0mDFjoKenh2rVqkkGWnTq1AmdOnUSj59BgwahcePGuHz5Mv766y+YmZmJ/R5zk4/cBrJraD58+IDly5dDV1cXgwcPFpeTyWSIjY2Fubk5iAgWFhawsrLCqFGj8OHDB7x+/RpVq1aFuro6ypcvj+bNm6NMmTLo0qWLuI3z58+je/fusLS0FPvZ/O9//0OvXr3QpEkTlC5dGps2bZJ85uvXr7FlyxZ06NABAwYMEC/8X7qrgty4cePwzz//4Pbt24iNjRWDL3k3hhMnTkAQBAiCgAMHDojlyCktLQ379u2Dj48PKleujMzMTGzbtg3Ozs44efIkKlSoAEEQ4OPjg9q1a4u1TUuXLkWZMmXQsmVLhc2KuY0dOxbm5uY4fvw4nj9/Lk41kfN7vXLlCkJCQiQDZHLat2+f2ER2+/ZtTJkyRTJlDwD8/fffaNasGSpUqICHDx/Cx8cHVapUwZ49eyTBXUJCAkxNTeHh4YGVK1eKTYO5LViwAIIgoGXLlnn64MXExGD37t0YM2YMfH194ezsLNYi5txWdHQ0Tp8+XWCn/z/++AMlSpQQ+yhOmjQJgiDA09NTXDcuLg6DBg1CmzZtFOb38OHDMDU1xdy5cwFk18YaGBigbNmy4uCL169fo1+/fqhZs2a+AxzOnz+Pli1bomLFiti4cSMOHz6MWrVqwdDQEC1atMDw4cMlA0ASExNx7969PLXBQHZTtrm5OcaNGyfm+fz583B1dcWCBQtw8+ZNpKSkwNfXFyVKlEBgYCAqV64MDQ0NqKmpiX1yP8WkSZNw/fp13Lp1C8ePH0fbtm2hqakpHjMxMTFQV1eHmpoaGjRogMqVK6N06dKSqX++BA7sPsHTp08REBAg9uN5//49jIyMJDUBGRkZWLVqFUqXLq3Uhaqw5RdI7du3D2pqanBwcMDVq1dx6tQp6OvrQ0dHR6zNArL7DN6/fx+bN2+GlpYWDh48KNbCtGnTBlpaWvDy8kLnzp1x4sQJVKlSBc2aNUO9evWgoaEBDw8PtG7dGtWqVRN/cX2tpiX5vrh69Sp69uwJY2NjNGjQAEB2U62JiQmsrKygp6cHbW1tnD9/HllZWXj16hWSkpIwe/ZsWFhYYMqUKejXrx+0tLQkAdvo0aPRsGFDlC1bFs2aNRObY+rWrYspU6Z8kTK2b98eo0ePFl9nZGRg165dmDNnDoDsPm9GRkZYv349Nm/eDEEQ8Ntvv0kCsHv37sHe3h6CIGD+/PmSWraIiAgQERwcHMTBMGvWrEH58uXRrVs3ODg4YPr06YiIiMAvv/zy0eAkISEBrVq1EkfU7dq1C0ZGRmJTTOXKlSU1d/J8XLlyBRUqVJD8Wj906BDMzMwktePdu3eXTJmRs7ZPJpNhxYoV0NTUlAQBW7duhYaGBiIiIvDgwQPMmjULgiBg7969OH/+POzt7REUFAQPDw+MGTMG5ubm0NLSErsfANm1CH369MG9e/cQERGBEiVK4NGjR7hy5Qo6d+4MT09PbN68Oc++yOlLTmia8xohv2GfPHlSTDt8+DD8/f3F5qrz58+jb9++WLp0qTh3l1xSUpI42CUjIwN//vknSpcujeDgYLRo0QIzZ87E69ev8fPPP+P06dMYPXo0ypQpI/ZBGzhwICZMmJBnwIwi165dQ506dcQfAHv27IGxsTHatWsHDQ0NDB06VFz27t27Cq878fHxqFu3rjiQ68WLF7Czs0OtWrVgaWmJtm3bivvn4sWLYu1LQkICgoODERwcjD179ojL3Lp1C2FhYWjVqlWB053MmzcPgiBg/Pjx+c75FhMTAxcXF1SsWPGTJj+Pi4tD06ZNxeNt7969MDAwwODBg+Hv748yZcqIzcQvXrzI0/dVJpPhzZs3aNeundhv9smTJ7C3t0fDhg1Rs2ZNeHt7i/3T3rx5I9nO48ePcePGDTx8+FC8Fpw7d04M7tasWYPDhw+jfv36qFmzpqSLRO5zIPf39+DBAwwdOhSlS5fGhAkTxNHIjo6O+N///gcguwbez88PV69exbBhwxAUFARjY2PUqFEDjx49Uno/5twfa9euhSAIklrStWvXwtTUFBYWFli3bh3Onz+PX375BaVLl0b9+vXRrFmzr3L/48DuE8THx8PLywvPnz/HvXv3YGNjIw5HB7J/Ubx69QofPnxQaibuwiY/ubp06YI+ffogPDwc165dw8uXLzFq1Cj06tUL9vb28PX1hbW1NX7++Wf8+uuv0NbWlvSDSExMxO+//47ff/9dTNu2bRvMzc1hamqKVq1awd/fH7a2tujatStevXqFixcvokWLFrCzs8Py5cslNSZfkvwkmjdvHpycnABkX8CuXbuG5s2bo2TJkpgxYwbKlSuH7t27IzU1FYsXLwYRQVNTUxwUcebMGSxduhQ7duwQty2/SOYcnZaZmSk2wWRkZGDEiBEwNzf/5Fn6VSGfcid3/424uDg8ffoUL168QGBgoDgNz+vXr2Fraws1NTVxHiogu7/Q7t27UbZsWfj5+Ynf3alTpzB27FjMnj0bdnZ2aNmyJYDsZiFbW1scP34cV65cQWhoqNh3CPi35knRBe3ixYt48uQJrly5Ant7e7FWaPr06dDX14ePj48YwAHZo19btGiBli1bSpp55cFd8eLFxel5nJ2dxeNtwoQJqF+/PmrUqIFTp06JQfeKFSugpaWF1q1bY+HChbCzs4OtrS1kMhnu378PFxcX8ZxetWoVunfvjlevXqFNmzaws7NDp06dsHTpUujo6Ehq7j58+ICEhASEh4eL86YB2U2DXbp0kXR+Dw0NldT+fi2HDh1Cv3798vSf2759OwRBwIkTJxATE4OGDRtKpqmQ7+MRI0agQoUKcHZ2xoIFC8Q+U9OmTYOenh50dXXRs2dPBAUFoWLFisjKysLatWsREBCAOnXqoHnz5tDT05N0D8gp9/Hz6tUrMVA8ceKEOLI4MzMTbdq0gSAI6Nmzp2TdnNuQNxfOnDkT169fx/Pnz1GqVCn88ssvePPmDfr16yd2WTl58iTGjx+P9evXizXcL1++RHBwMCpVqoRly5bh8ePHGD16NNq1aycOoMj5Y/LgwYPYsWOH5PycOXMmiAgTJkzAn3/+iZkzZ2Lo0KGSWquYmBg4OTlJmk/zo+gc27dvHx48eCCO4Jf/cB8/frxYcx8fHy+umzN/8ifxnDt3DqdOnUJycjJ8fHzEc2LZsmVQU1NDyZIlxR8DOZu3fXx8YGlpiSpVqqBfv35YuHAhevTogebNmyMwMBAhISFYvnw59u/fjwYNGqBmzZoFPt0jp7i4OAwfPhwuLi5o1KgRfv/9d7i4uIh9Lbds2QJXV1ecOnUKmZmZGDlyJAYMGPDJ9+OdO3di0aJF6NKli1hbDWQPcjEzM0OdOnVgYWGBcuXKoXPnzmITsfwa+KXvfxzYKSH3L6WrV6/CyckJR48ehZOTE7p06SKeHDdv3kSHDh3yjJb80rZv3w4NDQ2xudXKygqzZ8/G2bNncfLkScTFxUFHRwdGRka4fv06zp49Cx0dHQiCgGXLluHmzZvQ0NAQ+43Ibd26FSNGjECtWrXg6uoKFxcXqKmpwcvLS7zhyied/JozbwPZnaJbtGgBR0dHuLq6onTp0nj27BmuXbuGPn36wM7ODs7OzuIv7NOnT6N+/fro2bMnbt++jUuXLkEQBGhpaeWpadm7dy+KFSuGrl27StIfPHiAsLAw2NnZ4dKlS0Vextz7dvHixWjRooUk7e7duyhVqpRYw/H48WP8+uuv2LJlCzIzMzFx4kRxQEx6ejr2798vTqx95MgRcXLe//3vf7hz5454Y3z9+jVcXV1hbGwMBwcHeHt75wkuc+Zv7dq1kjnzgOzBGHXq1BEDriVLlqBWrVoYO3as5GY1d+5cCIKAkiVLKnyCyd27d9GrVy8MGzZMvIjOnj0bxYsXx+jRoxEUFARbW1vMnz8fKSkpyMzMxMGDB+Hq6ip22F68eDGuXr0KfX19ODg4iD9oZs+ejSVLlogDHuTNLi9fvoSrqysEQRD7+q1atQqCIKBUqVK4evWqJI9XrlxBz549YWBggNKlS8PV1fWLdabOz8mTJ+Hl5QVTU1OxCTlnbevPP/8MQRDg5OSk8PtdsWIFbG1tMWvWLPTr1w9qamro27cvkpOTcfv2bdja2oKIULZsWbRo0UJSezF9+nS0b98eYWFh4mjQj4mOjkZiYiIAiCO8+/Xrh86dO4vHz5AhQ1CrVi3UqFFDPH4ePnwoNoNv3Lgxz0TQc+fORb169cTaw/nz58Pf3x8uLi7Q1dVFuXLl4OTkhOrVq4uP+5I/rcTJyQk2NjawtrbOM3/l9u3bYWVlBV9fX3Gw0bFjx8TPnTlzJtTV1aGnp4fKlSujatWqMDAwwLp168Ra5piYGLi7u0tq2D5mz549efoozpw5E2FhYeI+WrVqFVq1aoVhw4aJ3/WDBw/EKbA2b94sDtyQ27FjBypVqiT2TTt8+DCqVq2KXr16Sc7H/fv3w8DAADNnzsTDhw8xYsQIaGtrQ1tbG7/88gt++uknuLq6wtnZGfXq1UNqair279+PRo0aoWzZspJBMIrkHngl/yFet25dlCpVCq1bt8aAAQPQtm1bFC9eHGZmZrCxsRH7732KGzduwNjYGEQELy8veHp6Sn60/fTTTzA0NISmpiY0NDTE+TPl+MkT3yD5l3L8+HHMnDlTTG/durXkEURyQ4cORbly5VTunFmYTp06BWtrazEgO3ToENTU1GBra4spU6bg6dOnuHjxInx8fODm5obY2Fjcvn0bTZs2xeTJk8VfjRERERAEAaNGjcK8efMwbtw4VKtWDWPHjsXff/+NefPmYeTIkVixYgV8fX0RHBwsmVID+LLVz7k/a9asWfDx8UFgYCCICI6OjuJ7165dQ926dUFE4gzzQ4cORdu2bcVOz+np6eK8TjmnbJHbv38/BEHI0xH65MmTX/zxaTKZDB8+fMDkyZNRqlQpyXM3z58/DwsLC4wZM0Z8tqN8Sh6ZTIa+fftCEASxxiY9PR379u1DqVKlUKFCBfTv3x/6+vriaEYA4k3iw4cPWLJkCdatWycGVIpGvz569AiCIOCnn36SXOgmT54MLy8vccRo48aNMW3aNIWj4NavXy8Ofsh501E0hUpGRgZ+//13cZoFAGJN9aRJk5CUlIQ9e/bgzJkzSExMxPDhwxEUFAQ1NTU4OjqiZcuW0NTUxMSJE9GqVSsMHz4cMTExKFOmjHhzT0xMxM8//4w1a9aIN9Pbt2+jcePG0NDQEJ9gkfPXelxcHA4cOIDZs2fn2V9fw4cPHzBu3DhYW1ujfv364rGfc78fOnQIhw4dEp/vmjO/mzZtkgwQkj83+LfffkNiYiLu3r0LFxcXVKhQQax1yt3BPr8nS+T8Pnft2iXWzMlrXdLS0hASEiLWIspHFuccnfzu3Tt069YNfn5+4nGe+8kWvXr1kjwqLSIiApGRkejTp4+47L59+9CsWTP4+PiI3QRev36NU6dOYc+ePeJIUbnDhw/DzMxM7G5w7tw5CIKAunXr4uDBgwCyf0gaGBhAT08PCQkJSElJEUeXL1y4UCzn3bt34evrq3AEZ859dP/+fQiCgPDwcElz46BBg2BtbY03b94gPT0dTZo0QWRkpPh+ZmYmxowZAw8PD7Ro0QJaWlp55vBbtWoVjI2NxVHoQ4YMQc+ePcWaPSC7Jat69eriQKHExESYmJhAR0cHjo6OaNu2LVavXg0tLS1YWVlJarqjoqIwcOBApe4Xx44dQ0JCAhITE9GhQwcIggBzc3NoaGigV69eaNWqFcLCwlCjRg14eHigR48e+dYGf4w8L6mpqVizZg2cnJxQoUIFtG7dWpzEXe748eOoUaMGSpcujaZNm37VcxrgwE4pW7duhampKTp37ixG/VevXkWdOnVgaWmJHTt2YOXKlfjtt99QrFgx8bFSX1LO0XYrVqwQ+w/FxMRAS0sLurq6aNWqFTQ1NTFt2jRxAkX5PE3Dhg1DgwYNxBNVPidVREQE1NTUoKurK05t4e7uLrmxZmZm4vDhw7C2thar6r/mxLxbtmwR/9+tWzcQEfz8/MTaGflNa8+ePXB3d4epqSmqV68OPT09XL16FXPnzhWbAdPT07Fo0SKoq6tL+rDJnTlz5qudxA8fPsSVK1fw8uVLMQ/JycmYM2cOfHx8JLWJ8ieDuLq6Ijg4WDLSLDMzE5GRkVBTUxMv6PKaOy8vL7i5uWHAgAGws7OTPMMy98hX4N+AIOf3P3bsWLRr1w7Ozs4QBEHs3whk3zADAwPh5OQEd3d3eHp6imVJSkrKU0uxePFiCIKAyMhISX+snIHIjh07sHz5cvz888+SJ1i8ePFCnH2+bdu2EARBrMmZPn26OPBD3i+oV69eCAgIQMmSJXH37l08f/4cLi4u+PXXX5GcnIzBgwcjICBAMheiTCbDnTt3UK1aNdjZ2Yk32PyOkS85UCK/m2ZaWhomTJiAcuXKITw8XOxSkDtv8mMFyK59nTBhAqpVq4aFCxeK33dCQgJWrFgBQRDQv39/PHnyBLdv30bJkiVRvXp1yaTg8nUUXStypi1btgxTp06FpqYm7OzssGTJErFGa+nSpVBTU0OjRo1Qrlw5+Pj45Bl9eP/+fVSpUkXSRAv8+53s2bMHjo6OaNiwIdq1awcDAwOcOXMGLVq0kNTMnDx5Ugzucj61Ibf379+jf//+Yl+/e/fuwdnZGS1atBCvQQcPHsSCBQswYsQIJCUlITY2FiVLlkS/fv3Qt29f6OrqYsWKFWIfPEXHT859FBkZiQkTJsDKykp8xqp8gMT58+fh7+8PCwsLeHt7S86xnNto1aoVBEFA48aNxWBb/n1fuHABtWrVgrOzM2rUqAE9PT1JLat8O4sWLUJ0dDSeP38OT09PVKhQAUOGDEH37t2hrq4u/lgaPHgwjI2N88yjl/MzFXn9+jXKly8PExMTJCQkID4+Hu3bt4eamhqcnJwwc+ZMyWhsVSlqun/27Blu3LiBdevWoXjx4qhbty6aN28Ob29v8fiQ90fctm3bVw/qAA7sCnTx4kWYmpoqfAD0rVu30L59e9jb28Pb2xsNGjSQzFX1JeR8funff/+NGzduYNSoUQgPD8fmzZtRq1YtdOnSRex7ZGpqChMTE0ydOhWdOnWCjo4OfH19UaxYMezcuROXLl2SzPT+7NkzuLu7Q1NTE+vXr8fFixfh7e0NHx8fSaf0jIwMnD9//quM6Mv9yCYjIyPUr18fmZmZ4iOJKlWqhPr160NLSwu1a9eWjKaaPHkyIiIicOvWLchkMvj4+MDGxkacoV4+m7q6unq+faK+9Mm8Zs0aeHl5wcrKSnzWpPz7SE1NxezZs+Hj4yMZ5HHjxg1xpNnDhw8lc3mlp6dj5MiRUFdXx9ChQ7F9+3bs27cPW7ZsQdu2bXHr1i0MHDgQ7u7ukprrgn5hT548GcbGxjh69CjOnj2LZcuWwcrKSjKJ9/79+7FgwQLJ5LFjx45FUFAQrKys0LZtW8l8eIsWLYIgCBg9ejQSEhIkF/GIiAgUK1ZMDCLbtGkjCSaGDx8OIyMjEJEY+D569Ejso+fn5wdvb2+0atUKJUqUgLq6OhwcHFC3bl0sWbIEM2bMgLW1Nezs7GBpaYlLly4hOjoaV65ckYwyvn//PipXrgx7e3vxBvu1RrsC0u9p7969mD17NrZt2ybm+f379xgzZgwCAwPx22+/icGdou4UI0eOhJaWFqpWrQpBEFC7dm1cv34du3fvRkBAAMqUKYMSJUqAiMTaG3lwV7t2baWaFOVGjRoFExMTrFu3DqtXr0b9+vXFx3q9ffsW79+/x/Lly9GiRQv89ttv4g+WnD8wUlNTUb9+fVSoUAFVq1bFmjVrJJ+RkJCAJUuWoE6dOggICEDx4sXh6ekJc3NzSd9aILs1pFWrVihZsqRkEI98/8gD+ePHj+P27dtISkpC+fLlxfPwr7/+gqamJoKCgrBixQpcvnwZb968QbVq1dC1a1fIZDI8f/4cxsbGEAQBK1asKDBImTx5MkxMTHDs2DGcOHECK1asgIaGBjp16oTnz59DJpPh3LlzmDx5MqZMmZJn9LW8L1j37t0RFhaGgIAAjBw5Ms/8ePv370dkZCR69+6NI0eOiHO4bdiwQexXJjdr1iyEhobi+fPniI2NxaRJk6CjoyOOyL18+TLMzMygp6cn6cOdn5zzh27duhVly5ZFyZIlkZCQgKSkJLRu3Vrs8zdo0KBP6gaU8xzZtm0bpk+fjlq1asHR0RGWlpYICgpCv379YGNjgwYNGqB169YwNDRE8+bNERAQAH9//4/2K/6SOLArwKpVq1C9enXJjNG5+5nExMTg7du3knmLvoQHDx6gYsWKSE1NxebNm6GrqwtLS0tUqlQJTk5O0NXVhY2NjVj1L5+nrkWLFrh79y4ePXqEDRs2YPr06Zg/fz4cHR3h6ekJHR0d9OjRA5MnT0axYsXg5+cn/pJdt24drl27Bm9vb5QtW1ZhZ9QveQPLeeJu27YNcXFx2LJlC1xcXNCkSRPx/UmTJsHf3x9mZmYQBAEdOnQAAHG+spzbyczMRPXq1eHg4CBOFZKZmYlFixZBW1tbnOD5a1m0aBF0dXUxb948nDt3DrVq1YKNjY2kuSE1NRWzZs1C2bJl0aVLF8l3sm/fPhCR2Fk553Fdvnx5EBHMzc0RHByM0NBQsWbu5s2bGDRoEEqVKiUZJJGf9PR0NGvWTBxVB2QHwPIpFPKbhmL48OGwsrLC4sWLce7cOZQoUQJ169bF3r17xbzKa+5yTl1w6dIlNGnSBGfOnBEnT/Xx8cGIESPEYCI6OhpmZmYwNjbGuHHj8OLFC8TGxiIgIACNGjXCtGnTMHr0aHh5eUFTUxPh4eFYunQpPDw84OPjg5MnT+L69evYtWsXHj16hJEjR8LFxQXOzs4wMjKSTBMTExODKlWqwMnJSaUHwxe23HMHlixZEv7+/ggODkZISIhY+yQP7oKDg9GhQwexW0XOY0c+bYW8D/HOnTthY2ODevXqQV9fHxMmTMDly5fRqlUrFC9eXDKv2507d6Cvr49GjRoVeI2QyWSIj4+Hh4dHnh/Vbdq0EX9sK2o6VvQjKyUlBTdv3kTr1q3FUZnyz5EHf48fP0aJEiUwd+5czJ07F/Xr14eBgYE40lLu6NGj6NChA+7fv4/bt29j0qRJALL7prm4uCAuLk78wb1nzx6UKVNGnOw8MjISWlpa8PX1FZtvb9++jbJly4pN/DExMejRowcGDhyocEqinLKystCgQQP0799fkr5//35oaGige/fuCgdeKNr/8v02aNAglCtXDiNGjJAEd/Ka6ffv36NFixaoWLEi+vfvn+c8nDJlCho0aABvb28xrVmzZjA1NRWfEnPhwgU0b94cGzZs+OixIG85kslkiIqKgru7O1xcXMSZDOzs7JCQkCAObNLQ0ICbm1ue0eYFydmdY9CgQXBwcICzszM0NTVhYmKCBQsWoG7duvDy8kKnTp1gZ2eHatWqYc6cOQgLC0N4ePhXn/0hJw7skPeLyPl60qRJsLGxyTPaCcBXHyDx4sULeHh4wMXFBUQELS0tDBkyBB8+fMDly5fh5OQEDQ0NzJkzB0+ePMHo0aNhaGgIBwcH/PXXX2I5Dxw4IE4y+/79e/F5h82aNUNwcLDYX6hz586wsrJCamoqrl+/Ls4TJN83X1Lui9Vff/0FCwsLZGRk4NKlS+jfvz+srKxQo0YNABCbG83NzdGoUSPExcVh1KhRKFu2LF6/fi3WduXs21W1atU8wd0ff/yBypUrf7Wm5mXLlkFDQwM7d+4U0+TN6jmDCiB79OCcOXNgYWEh3nxu376NJ0+eoGPHjjAwMBD7C2VlZWHKlCli4CsfECAIAipWrCj2qbtz5w66d++OVq1aFbgPZDIZKlasiCZNmkjSMzMz0a9fPwiCIHl+q7xJv3Tp0uJN7q+//oKOjg5sbW3h5+eHAwcOICsrC0eOHMGOHTvEm9GGDRtQtWpVyYTEQHaQ6OvrixEjRuDFixd4+PAh/v77b4wcORK+vr4YNmwYXrx4gTt37ohPgujatSssLCwk8+nJJ5fNeQMbM2YMLC0tceTIEbx69QqdO3eGIAiSKW5iYmLg6emJn3766aP76kuYMWMG7OzsxOvWxIkToaWlhTJlyog//t6/f48BAwagW7dueTqBr1q1CjVq1EBISIjkB92iRYugpaWFwMBA3Lp1C0+ePIGzszNcXFygra2NpUuXisvfu3cPd+7cUSq/CQkJcHNzE7sH5Oy/W65cObi7u2Pp0qVi4AjkrT27fPky4uLixGPiwoULaN26NSpVqiT2KR05ciTCwsKwcOFC8RnDQHaLTJs2bVC8ePE8wZ38fJBPgSFvxpTnVX5tXblyJRwcHMRAQRAEhIWFScpy8uRJ6OjoYN++fUhMTMSoUaNQvXr1AgfWZGVl4cOHDwgICBAnVs7KyhLXGzBgAARBQJ8+fcRuC7lrsm7cuIE9e/bgxIkTkn55gwcPhp+fH4YPH464uDiMHDkSpUqVwrt37yCTyZCQkICAgAAIgiB55uyDBw9QuXJlGBgYwNXVFaGhoejQoQP09PRQokQJTJ06FY8fP0b9+vUl81PmDO7kkx/L/e9//4O7uzsMDAywcOFCxMfHY+3atSAimJmZwdHREa9evcKrV6/QuHFjFC9eXHJMqGLOnDmwtrbGjBkzsHDhQnTq1AmCIKB48eK4ePEiunfvDnd3d4wcORKNGzfO0+f0W2iGBTiwE926dQtDhgwRH7YsFxUVBUdHR2zfvl08GbOyspCVlYWffvpJ7Hj/Jb18+VKsgVixYgWISOxnkpO835i+vj6cnJxgZmaGixcvolq1ajA0NMSZM2eQnJyMzp07i/3HYmJi4OzsjLCwMBgYGKBhw4Ziv4y7d+9KmrWio6PRvn37L97E1L59e/j7+0tuEIcPH4aTkxM2btwIa2treHl5wc7ODjo6OnBzc8OsWbNQqVIlODs7o1y5crC1tUWJEiVw9uxZLFq0CC4uLuIv6JzNk8HBwShVqpQY3OV8HuaXDu7evXsHPz8/mJubS/qXNWjQAIIgYPjw4Rg6dCjOnj0rXqT37duHatWqITMzE7/++ivKly+PN2/eIDExEV26dIGOjg6OHj2K2NhY1K9fH3PmzEHfvn3Rv39/GBgYoG/fvuII2ZyPCsu9D/L7lbps2TJ4eXmJzTZyCxYsQLt27WBvby8Z6HHlyhVxhO7BgwdhamqK1atXIzk5GSYmJqhTpw7atGmDsLAwcS61jIwMjB07Fh4eHrC3t5d06JbJZBgxYgS8vLzQvn17Sa3moEGD4Ovri8jISLx48QK3b9+Gu7s7dHR0JE+KSE9PR1xcHLy9vcX+m9euXUPt2rWxb98+ANn9+kxMTNCiRQuoqanh999/F8+Lp0+ffvVm2KSkJDRr1ky8Xu3evRuGhoaIiIhAzZo1Ubp0abHmLi0tDbNnz0aHDh0k/SjXrl2LUqVKiU8XkXv06BE6deoEW1tbNG7cGE5OTmJf27CwMNja2mLhwoUfvdnmd/xUrlwZ1atXF1/La8JatWol1t7Im0RznptRUVHw9vaGlZUVKlWqhPDwcDEYa9++PVxdXeHg4ICgoCDo6OigYcOGEARB8vgq4N/grkSJEjh27JiYz7dv34oBlDygDwsLk+Q9MTERN2/ehKWlJaytrUFEEARBHC2vaPSxp6cnTExMFD5RIr99NG3aNBgaGorBp3y533//HWFhYVBTU5MM8Mr5RIkSJUrA29sb1tbWaNWqleTHzPDhw+Ht7Q1nZ2dYWVmJAVd6ejpev36NkJAQ+Pj4oE6dOli/fj0GDhyIoKAghIaGwsLCAtra2ihfvjxCQ0Nx8uRJhIeHw8rKSvyRpuiJEvJJ1KdMmSKmb926FQYGBnBwcEBaWhoePXoEBwcHNGzYELq6uiAiFC9eHImJiUhOTlapqT/nPklISECvXr3E/rbyGREmT56M2rVrw9LSEteuXUPp0qUlU1197dkfFOHADtkXC/mvDxcXF/Tt21cymq5hw4ZwdnbGxo0bkZiYKI6is7a2VvrXZ2FJTk6Gvb09+vbti1evXuH69esYP3489PX1UaxYMTHf8rmKfHx8UK5cOXh7e6NHjx64c+cO3rx5g9DQUNy9e1ecA+3+/ftISEiAu7s7GjdujLi4OHHqhrp166JMmTIoXbp0vs+6/ZI3rtu3b6N48eKoV6+eOIL3wIEDcHd3R/HixcVZ0tevXw9dXV3o6urCw8MDjRo1wocPH3Dx4kVERUWJo8wePXoEV1dXBAYGisGd/GTdvXu3OOoqZ7PI1zqJHzx4IE78+urVKzRr1kwMXFetWoWQkBAEBATA0tISrVu3Rnh4OCpUqABfX1+YmJhI5tV78eKFGNwtXLgQo0aNQq1atVCzZk3xZpyRkSGOjnZzc8szhxwgveEcO3YM27dvF/djTEwMGjVqhPr164tzJCYmJqJRo0aYMmUKpk+fLjbtnj59Gu/fv0d8fDzev3+PevXqITIyUhwYFBgYCC0tLUkNoLxpB8iepsLT0xPt2rWT/ADZunUrihUrBj09PVStWlVSszlo0CAEBASgRYsW6NmzJ4gIwcHBqFevnmSy3hEjRsDR0RGPHj3Chw8fkJiYiHnz5iEtLU2cS01+3LVo0QIaGhoYNWqU5Lv7kufIhw8f8ow2vXr1Ku7fv49r167B3t5enLxaPhmzubm5ZP5GeS3biRMnxO94zZo1cHR0RFBQkDjwCsieQmft2rVwdXVFgwYNxBrwfv36wdDQEFZWVpKAO6ecx8+VK1cQExMj3pwvXryI4sWLixNQy4+5Nm3a4NKlS6hYsaJYKy+3f/9+FCtWDDNnzhRr5o2MjNCqVSu8ffsWZ8+exb59+7B27Vpx7rj4+Hj0798fmpqakuAGyO63K78HvHv3Dg8fPkRwcDCioqIAZI+mb9OmDdTV1TFixAhkZGQgOTkZxYsXx9ChQ3H58mX8H3tfHRDF+n+9Q3dId3d3g0hICQY2qKAgSpiIrdhiB4io2J3XwLp2wbVb8VoYqCC29J73D955fjvsUqLg9cv5516XndnZZ2ee5zyfOKdfv37w9fUl8yi9MeN8nvbs2UPm4vrG6OTJk9i7dy8eP36MyspKvHv3Dj169ICpqSnpxKbn+IMHD2LBggVQUFBgbMjorl1aZH/z5s2QkpKCp6cn9u/fz/isXbt24fHjx1xzXllZGQoKCojUiIiICC5fvoyPHz/i+fPniIyMhJiYGJGKKi4uxq1bt3DkyBGe+m70d1yyZAmEhIQYupujRo2CsbExHBwcYGlpSTYOSUlJYLFYUFVVbbKcSWlpKVcp0blz5/Do0SNkZGRAQEAAJiYmqKqqwoYNGwgx7969O8PK8HdEG7H7/0hLS8PChQtx/PhxTJkyBdLS0ujevTupxejWrRtsbW0hISEBJycnKCsrt4hOGS8sXrwYsrKySElJIV1Tubm5kJKSgqSkJHr06AEFBQXs3r0bmzdvxpEjR5CVlQVdXV2IiYlBS0sLhw4dwtevX1FdXU1SqWFhYRAWFoaWlhYkJCQQExMDZ2dnqKur4+bNm7C3t4elpeUPtY7/LNATwYIFCyAjIwN/f388f/4ca9asgYqKCql/e/HiBbS1tdG5c2eEhoZCT08PR48e5Qqd03j16hWZODjroY4dO4bk5GQkJia2atSFEwUFBTA0NAQ/Pz9MTEy4lNSDgoIQFxeH3r17o6qqCiEhIURqhBYhHjp0KAIDA/HXX39hwoQJEBUVhYGBARwdHTFt2jT06dOHRDiWL1+O8PBwJCQk1DsGycnJkJKSgoaGBoSFhZGRkQGgJt3Ts2dPaGhoQFNTE+rq6jA1NQVQk0bW0tLiEnP+9OkT7O3tiahqeXk5YmJiMHbsWHh6eqKkpAQHDhyAoqIiNm3aRI5buHAh3NzcMGDAALx9+xYvXryAlpYWsrKysHnzZsTHx0NTU5MIIgM1NUE9e/aEp6cnbt68SdKyHTt2xLVr1zB37lyIiIjg2rVrmDJlCknH0ovC0KFDERUVRYhUUlISXFxc4O7u3iobgD179qBr167w9vbm2XW4fPly+Pv7k99327ZtCAsLw4IFC1BVVYWlS5fC1tYWL168wPHjx2FgYICJEycSMWnagk9TU5NBAoAaGahBgwaRZ2zkyJHIzc1ldA7XBbq2qV27dujZsycRgqW9iy0sLBAeHg47Ozvo6+sDqOl6d3d3J+d48+YNfH19CSkoLi6Guro6PD09YWZmBj8/P5K2PHr0KHr16kUiiZxR7Npiufn5+QwJK2tra1hYWDDet3btWkLuqqursXjxYggJCWHUqFEkOnX37l1YW1vDzMyM0Xx28uTJOl0oOO+hUaNGQUVFBVJSUrCyssK8efNQUVGBe/fuEXJpa2sLPT09Qkri4uJgbGyML1++oLq6Gt+/fyc1fEBNd72uri6CgoLg6ekJZ2dnLnJLX8OlS5ewfPly7Nmzhzgq3b9/H0ZGRqTJBahRWRg4cCB69uwJaWlpEtnmBOdcQpO6x48fY+HChfDx8SHuHEBNhPTvv/+GpqYmJCUlce/ePXz//h2hoaFQUFBgNCk1Bjt37kTnzp1hZGSEadOmcXX4r127FpaWlpCWlkbv3r2xc+dODBw4ENOmTYOdnR0jy/A7oo3Y/X+cOnUK0tLSpBOS9gfl5+eHv78/VqxYgTVr1mDHjh3Yt28fl25RS4DzAc/MzISEhAQmTJhAJpzc3Fzi1zlw4EAkJyejXbt2ePbsGW7cuAF5eXm4ublBS0sLZmZmjPqqadOmEa/XkpISREREEMsk2v+vuLgYmpqaiIiIaPHvTl8nUCODISsrC2tra8jKyqJ3796YNm0a1NXVkZiYiKlTp0JLSwuenp5ISUnBkiVLICgoCHl5ebIQ7dy5E3PmzMGOHTsIQafJnY2NDY4fP4779+8jLCyMsTj+TuTO2dkZFhYWJDpVVVWF+/fvY/LkyYz6nOnTpyM5ORkeHh5wc3Mjch9+fn7g4+NDXl4e8vPz8fDhQ1RXVxNDe6CGSHft2pVRN8ZL0uTixYuwt7fHuXPnUFJSgsmTJ0NKSgppaWlgs9koKSnBtWvX0LVrV4iJiRHClpCQAHd3d6iqqjII9cePH2FjY4PAwEDMnz8fvr6+0NDQAEVR2LdvH6qqqnD16lVERUXB3Nyc4ZiyYMECuLm5oVOnThg+fDiSkpLI354+fYpx48ZBTU2N0d1bVlbGqBXNz8+HpaUl5OTkICgoSFLxrq6upB6turoa5eXlcHd3J6K3tE4Yp0VSS5K7lStXQkpKCsOHD8fQoUMhKSmJpUuXMt6zYMECqKur49atW6iqqkJoaCiJjK5YsQJ8fHwk5VxYWIhhw4bBysoKgoKCGDduHD5//oxp06aBxWLB19eXIf2RlJQEOTk5zJo1CwMGDICkpGSdUX7OcTl+/Di0tbVx4sQJZGVloVu3bnB0dMTBgwcB1GzUhgwZgkGDBpHu17y8PLBYLNjY2DA6vFevXo1r167h3bt3MDExIRZ33bt3B4vFgpaWFr5//46zZ88Sb1j6t+ckd5xiwjQ47/327dvD2NgYOTk55Hlbt24dBAQEyLzcqVMnsFgsTJgwgZTy3Lt3DzY2NjA1NUVeXh5SUlKgoaHBk5hwjtG5c+fg4uKCS5cu4fnz54iPj4eDgwOmTp1KNhX79+/HnDlzkJGRgYqKChQWFkJYWBjS0tIMiaqrV6/i2rVr5DmjNeW2b98OMTExWFpacpGx3bt3Q0pKiqTAvby8yCZ/1KhREBQUhJmZGRwdHSElJYXc3Fxi9yUnJ0fuk9pzKKdlIF0XraGhASkpKaITSkvt9OrVC6KiooTA0sSZl/RSXVi5ciUkJSUxevRopKSkgKIoxMTEkMapjx8/YsGCBRAUFMTmzZshIyMDSUlJ6OjooHv37jAxMSGbot8VbcSOA6NHj0bfvn3JA9izZ08YGxsjMjKSLIKci0FLo7Y+T2ZmJiQlJTF+/HiyuF+/fh0yMjIQExODmpoarl69ihs3bkBERATjx48nx+vq6mLYsGHkGF9fX8yZMweCgoIwNzeHgIAABAQEQFEU0tLSSJfRx48fW53cXL16FXl5eTAyMoKdnR1kZWVBURRsbW0REBAAIyMjSEtLk66/s2fPokOHDhg1ahQeP36MlJQUSEpKwt7eHtra2jA1NSW1Rx8+fICTkxPk5OSgqqrKqAX53VBQUAAjIyM4OTkxFgV6kk9PT2fINXTt2hUURcHHxwfFxcX49u0bXFxcMG/ePEb04MSJEzA2NoaBgQFsbW3r1L2isWjRIowZM4arMy81NRVSUlKYN28eWVTu3r2L4cOHQ0dHBz4+PpCSksK5c+dgYmJCNhD0eN+/fx+2trZwdnaGpaUl+Pj4GHVOQE16cdCgQTA2NmaQu9mzZ0NKSgrCwsIICAhgXBftNamlpcUlLk0jJycHioqK0NHRIQvc169fSbS79venm02sra1haWlZ73j9KqxevRoCAgLkNy8tLUWXLl2wcuVKxqJ+7do1+Pj4QEFBASYmJuT33bp1K7EQA/7vPrp06RL4+PigoaFBCCAAWFhYQEZGBh4eHoxa48jISNja2sLd3b1Rmp579+7F0KFDGbIXubm56NOnD+zt7RkpXxrv37/HiBEjICYmBkFBQSxdupSrBm3ZsmUICgpCUVERbt++DUFBQSgrKyM0NJREuc+fPw8pKSn06dOHQe5iY2NBURRp4gH+j4DUJncmJibIyckhvzndUGFlZQUZGRmMGzcOFEVh+vTp5D35+flwd3cn7jcNOS7s3LkTUVFRDKH08vJyJCcnw8HBAZMnT+ZSZXj27Bni4+MhLi4OLS0teHh4kM+nf9s9e/bAycmJBAeOHTsGFxcXxMTEMIIX79+/R0xMDNavX4+ysjL89ddfsLOzg5GREe7fv4+nT5/CxMQEbm5uGDt2LCmR+eeff5CUlIT+/ftDWVmZS0KFHtPr169DVFQU48ePJySNLguiKIo0f507d46kSC0sLCAhIdEo1xIaWVlZEBISYtT8mpubk/XCwcEB6urqOHnyJJydncHHxwc1NTUICQlBV1eXUfrxuzRK8EIbsePAzp074eLigqqqKgwcOBBKSkrkh3z06BGWL1/O+GFbAo8ePeKKGNUmdyIiIgzPz/z8fLi5ucHb25t0TNJK4xUVFXj69CnatWsHZWVlODs7o3fv3pg+fTrKysqwaNEiiIqKwt3dHbdv30aPHj0gIyODyZMnM+oRWktY9dChQ1BWVsayZctw9epV6Onpwd7eHgoKCvDx8cGjR4+wc+dOSElJkaLqcePGISoqCh8/fkRubi7c3d3J327fvk2U2TkV9E+dOoXTp0+3mtdfY1FQUAATExMoKSnB2dmZvP7ixQt069YN+vr62LFjB3HJ6NatG9zd3REREYE7d+5AXFyckNjo6GicPXuW+K+mpKRgypQpXLpXtUGL/fr4+HAtLtOmTUO7du3IThiouT+9vLwgLi6OSZMm4dWrV8TurTa+f/+OjIwMUBQFFRUVroUJqNnp8yJ3M2bMINEXWoiYxvPnz5GUlARTU1OUlJTwJGDLly+Hra0t4uPjiSyOoaEhKVKnF6DKykosXrwY4eHhGDp0KJeWWkvg2LFjoCgK06ZNY7xua2sLMzMzyMnJwcnJidiGXbx4EWvWrMHChQtRWVmJ1atXk+4/uk6L9rucOXMmqS1ycnLClClTMGvWLFAUBW9vb1hZWUFERIRh1fXx48dGdcs/evQI7u7uPMVq8/Ly0LdvXzg7OzPS7U+fPsXcuXNhZmaG69evY/78+eDj4+OKTI4YMQLm5ua4ffs2FBQUoKGhgUmTJnF1wJ89e5aL3BUXFyMxMRH379/Hv//+S+q36LmIk7i3b98eenp6iIuLI5998+ZN7N27l5AjWuS8drPd5cuXyYamLpSVlSEkJATi4uJc9YQ0uXN1dUVSUhIJSnz8+BErV65EUFAQbty4gcuXLxPfWc65bMuWLdDQ0CCNEePHj8fIkSMZaeHLly+TWkY6+vr48WMS/TQ2Nsa9e/ewbNkyuLi4IDw8HPn5+bh58yaCg4PRv39/3LhxAwoKCjhw4ADX93vy5An4+PiIPh5dk0cLRhsaGoLFYmHYsGFgs9k4dOgQQkNDER0dzWXbVx8uXLhACDaN5cuXQ0BAAAYGBhAVFYWRkREoioK6ujoOHjyItWvXYs2aNdi/fz+kpKQY2arfqVmiNtqIXS14enqCj48PqqqqreIgwQk2m41169YRFXcatcldWloahISEGMX9+fn5CAkJgampKYSFhRldPHPmzAFFUdDR0SFOErq6unjx4gViY2MxYMAAsmglJCTAxsYGbm5urXIjc37mqlWrMG/ePAgJCUFVVRUZGRm4evUqdHV1YWdnBxkZGQQFBWH//v0IDg6Guro63N3diaNERkYGIiIiuCQxnj17hri4OPj5+fGcZFs6QllX91td4//48WOIi4sTjUIaeXl5GDRoEExMTBAVFQULCwvExsZizpw5cHZ2hoiICISFhbFo0SLMmTMHUlJSxL+xNhoS3hwxYgT4+fmxfv16Llu50aNHM0ShgZoGmMGDB8PExATR0dGkHjI6OhpRUVHEQzQ6Opq4fri7u8PW1pZcH+dveOPGDcTExMDU1JQh03Hjxg0MGDAAJiYmDEcSoIb88qr94vyOy5Ytg7W1NYYOHYpr164hKCiI1AJyvq92KqilNwLHjh2Dubk5IiMjSTkJTew3b96Mw4cPw8rKCvr6+lxRk5UrV0JQUBCzZ89GTEwMzMzMGGm4169fIz4+HkJCQujbty+0tbUhLCxM0qQlJSWIj4+HsrJyg9ETXvfwwYMH0b59exgYGHA5Ovzzzz8IDAxk2E8BNWSAs0Fm3rx5hNzRzTY7duyAiYkJ+Pj4ICsrCxaLhdTUVMbmoza569evH0OcuaKiAlFRUeDn5yedqrXJXXV1NVRUVCAkJFRv2caMGTMgKCjYKG262vjw4QMGDRoEXV1dLFmyhHHvl5eXIzY2FjExMYzx/fjxI9lMsdlsXL58GTo6OozI3fnz5+Hh4QELCwsiU1KbLG3ZsgWOjo6QkZHBy5cvGS4X/Pz80NDQgKqqKh48eIDs7Gy4urqS9cXGxgZsNhuFhYXQ19fnSm9XV1dj165dRL2BjgLTHszjx49H9+7doaSkRNbB6upqVFVVNfkZO3nyJJycnKCmpobIyEhSR6ekpIT9+/dj4sSJ4Ofnh6KiIjw8PBjSQNXV1fjrr78gLy/PJd/0O6KN2P1/0A/EoUOHYGhoSDqeWpuVf/jwAVlZWZCXlyepUwDEtxGoSbno6upyeSDev38f3bp1w8aNGyErK4tBgwZh3rx5kJeXR05ODtauXQsPDw84OTlBWFgYe/fuhbe3N2Pn3aVLF9y4caPVJD5oTJ48GTIyMti6dSuys7MRFhYGJSUlQu60tbVha2tLHv5z585hwYIFGDNmDEkLTJkyBfz8/GQS4sTu3bshJibG9XpLg3NSP3PmDC5dusTTuqc2nj9/jm3btkFLSwtdu3Ylr//zzz+Ijo4mBMrd3R2DBg2Cl5cXjIyMyA68srIS2dnZDDmG2uD87OvXr+Off/5huJQMHDgQYmJi2Lx5M4Po1JaI4dTQGjZsGHR0dNCuXTvMmDED0dHRGDBgAOLi4uDu7g6Kokjq8+TJk7C3t4etrS3Dz5c+X3Z2NgwMDGBoaIiMjAyGuwhdN0hHrBoC56K8dOlSODg4IDw8HBRFwcDAAFZWVnB0dIStrS0MDAyIfVRr4vDhw3ByckLfvn3h6ekJKysrRjrtxo0boCiKoYH4119/gaIoUnuam5uLvn37wszMjOGFWVRUhMGDB4OiKPDx8SEsLIxhY7hu3boGC9g5F+Li4mJSfA/URMj9/f0REBBAIoY07t27x7B6qktiZ86cOeDj4yONMXQK2dDQEKGhoRg4cCAEBASQmZnJiCbS5zt//jypt+IELbispKREUqa1xeqPHTsGMTEx6OjoEDtHgHkfvXz5Etra2mRtqQ02m80Yo5s3b+LWrVuEaH369AmRkZFwcXFBeno6lygz57jQ/19eXs7YaF29ehVaWlpwd3dnWCtOnz4dw4YN40k62Ww2du/eDTMzM2hra0NaWprhcsHHxwctLS3GvHH27Fncvn2bjFNycjLMzc0ZvzmN/fv3Q1xcHDIyMhg8eDBGjhwJFosFKysrXL16FWw2m0TWJCUlGWUFTcGqVasgKysLeXl5CAoKgp+fH7Kysrh//z7u3r0LAwMDIrg8ZswYUBQFQUFB4iZVXV2NPXv2QFNTs1W94BuDNmJXC2/evIG+vj7D8Ly18enTJ2RmZkJeXp5RY0E/NK9fv4aDgwNjIqZRXl4ONpuNw4cPQ11dHRRFkV1TeXk51q5dCwcHB4iLi2P37t1IT08HHx8fevfuTQp8W6NeiBPv3r2DqakpMjMzcfDgQeLXaGBgAHFxcWRkZODKlStEo+7Vq1d1RpaWL18OWVlZjBo1imGqfefOHejr6zdY69JSGD16NOTk5KCurg4dHR2sX7+e/K2u3+H79+/Ytm0bNDU1GeQuNzcX0dHRMDU1RXR0NGxsbEhxMwCyyB05cgTm5uY8J3fOsRo3bhwsLS2hqakJOzs7hvju4MGDIS4ujq1btzLcWoCayf7gwYOMXfvt27cxcuRImJmZcUXUzp07RxolgJr7/dSpUzzJ3Z49eyAtLY2wsDD06NED5ubmjCjP5cuXERsbS7ydeaE+xfjFixfD1NQUbm5uGD9+PP766y/s3r0bq1evxsqVK1s1Vc95Pxw6dAh2dnZo164d13jm5ubC2NiYIQD74sULhqwLUBPpjYiI4CJ3b968wbhx48DPz0+aQzi7X728vOrs7OTEjBkz4OTkBB0dHbi5uZHo4JEjRxAQEICAgAAuQWCASVhOnTqFcePGITo6GkuXLiVR3LS0NPDx8WH+/PlISkoiaTea3IwbN65ecnfp0iWem7s7d+6ge/fuUFRUJBFRzt/89OnTMDY2xujRo2FiYsIgd/T7Xr58CTs7O66OWxqckdSJEyfC2NiY6NqNGzcOZWVl+PTpE/r27QtXV1esWLGC677j3DgdOnSIkPQxY8aQ+/7KlSvQ1dWFq6sr1z1PH/vs2TM8efKEUXq0a9cuyMrKQktLixEtPXz4MPj5+REbG8vlsHLp0iXEx8dDRkaGRDyfPn1KNhfl5eUYPnw4xo8fj82bN0NDQwMsFgtBQUHQ1dWFo6Mjrly5gps3b0JPT49EiZsKurZu586d+Pvvv+Hj40Oicy9fvsTmzZvh4eGB06dPw9LSErNmzcKwYcMYpSj0+Pyo+HFLoo3Y8cDGjRshLi6OvLy81r4UAk5yl5CQwPgbLcBa3y6iqqoKR48ehZKSEiIiIhiLQVBQEMTExBAaGorCwkKsXLkSPXr0wODBg1ulXqg2SkpKYGxsjISEBIiIiGDatGlYv349+vXrR2QXMjMzcePGDRgZGcHU1JREDs6cOYPz588zJpzZs2dDVVUVUVFROHz4MPLy8hAQEAAbG5tWs4Ph/D3u3bsHIyMjXL58GadOncKECRNAURTDWokzWsKJb9++YefOnVBXV2eQOzotKycnhxEjRsDFxQVRUVFknGhrosDAQK7zrly5El5eXvjy5Qtxp7h48SKx7eIsuAdACs85JRPGjh0LQ0NDqKurw8XFBd27dyd/u337NoYNGwYTExNSQM+5iHOODy9yd/nyZWhpaRFh4/v370NBQYF0ddO4dOkSEhMTSb0cJzi/865duzBz5kyyYaCxZMkS2NvbIzExkadF2O9C7o4fPw5HR0f06tWLQdo6deqEDh06NCrV/88///Akd0VFRYiLi4OQkBCJpE6cOBHi4uJ1+mQvXLiQzFlTp06FsrIytm3bhjdv3sDQ0BCWlpZkPA8fPozg4GDY2dnVWQqze/duiIuLIz4+HgMHDoSdnR0cHBxIlHj+/PkQFhbG1KlTedpANkTu6gJN7pSUlEiXNI0JEyagffv2ePjwIWbOnAlTU1Mu68EJEybAwsKCZy0prcHIZrMxZ84cRq3jsGHDICAgQO7Fjx8/IiIiAvr6+jwbS4CaSKyoqCimTZuGlStXIiwsDAoKCiT6f/nyZRgaGsLMzIxr4757927o6+tDW1sbkpKSiI6OxqNHj1BWVgY9PT2oqKggMDCQ4ejB6XLBqVd48eJFjB07lmwWX716Rbx46XrYY8eO4e7du3j58iV0dXUhISGBfv364eTJk6AoCnZ2dqT7nZNQNhanTp0i3tL09zxz5gzs7OwgICCA3bt3Y9myZZCQkECHDh3g7OyMkJAQRjf971pjXRfaiB0PvHz5Eu3bt2+SLk5L4OPHj1i9ejUkJCTg5+eHpKQkDBo0CAoKCo0SZ6yursbhw4eJRAibzUZqaipERUUxZcoUuLu7o2fPnuThqV1L0hKoa9Fp3749ZGVlSZPIy5cvoaamBiMjI5iYmEBbWxtnzpzBo0ePYG1tjadPn2L06NFQVlaGqKgo/P39ycIP1GiXiYmJQUBAAD169EBUVNRv4fW3YMECJCUlMfxVafkQiqJI/Rgn8Tl9+jR27NiBkydPkl3/rl27uCJ3586dw6xZs1BVVYVly5bBzc0NUVFRePXqFbp06QIjIyOuMcjMzARFUWQB6d27N7Fi+uuvvyAtLc2l6wbUpMXo+2bOnDlQUlLChQsXUFVVRcign58fIy3bv3//RlmVVVVV4cSJE3B0dISDgwNWrlxJdKWeP38OHR0dREVFYfXq1RAREWFE7njJItT2UlVSUkJwcDDMzc3h6+tLvi9QE7mzs7ND3759f7v5gfN75OTkwMnJCb1798b58+cRFhYGAwODBu/x2uQuMjISlpaWjPThhw8fMGTIEIiLi6Nz584QFxevM9K9cuVK8PHxYdOmTfj8+TOcnZ3JuU6cOAFJSUmuhoI9e/aQWqraePHiBczMzIiw7rNnzyAvL88oHwFqCGS7du0YDi2c56PJ3apVq5oUgUlLS0PHjh0hJCSErKwsrF27FmPGjIGMjAwhtm/fvkVaWho0NTUREBCAKVOmEJs6XvN0ZmYmBAQESIS1e/fuZBNHR8loTUg68lhcXIypU6fy3HCXlJTA19cXixYtAlATFFBQUGBke4CaCK61tTVjk3LmzBkiR3Tu3Dnk5ORAWVkZISEhKCgowPz58yEqKgo9PT107dqV3E91uVwA/9foRJfRUBRFvJm3bt1K3rdv3z7Y2dlhwYIFUFNTQ/v27REaGgoVFRWIiIg0WYCYRn5+Pjw8PBAWFsbock5KSoKIiAgsLS1x6tQptGvXDiwWC3p6ejA3N+eqFf4voY3Y1YHf9UetqKjAlStXEBYWhs6dOyMpKalJdWFsNhtHjhyBgoICFBQUICoqSibl7OxseHh4IDIykixaLZl+pa3agJoI06NHj0gU8uLFi+Dn54enpydevXoFVVVVxMTEoHfv3rh27RrMzMyI0XZlZSVu3LgBe3t7XLlyBWfPniW1KZzdw8uWLYO8vDxmz55Nvm9r7sw+fPiAAQMGQFBQEH369GH8raSkhNQIckrupKSkQFNTE05OTjAyMoKvry/Onj2Lqqoq7NixA9ra2ggPDyfv55RsWL58OTw9PSEqKgpDQ0MySdNjsGXLFiIxAtREA01NTbFjxw4cPXoUEhISRI+usrISaWlp2L17N2MM79+/j44dO5IUyuHDhyEhIYGEhARoa2szpEiePHnSoD3Pw4cPkZCQgM6dOyMuLg5aWlqIiorCP//8g6qqKgQEBKBfv34AaqJLdBE2rRRf3/28bNkyaGlpkUh9RkYGhISE4ODgwIiWzpgxAwMGDPgtzL5roza5c3V1haioKExMTLh+38acIy8vD8HBwVzalR8+fEBsbCwkJCR42l8BIPVX9G//+PFj6OnpoaqqCjk5OYz75+vXr8jKyiLpdV7dp0BN1Ix2QHn+/Dk0NDQYYrHHjh0jRIJXLRbnbzZx4kRQFMXohq8P//zzD9zd3XHlyhVMmDABGhoasLe3R+fOnbmaRj59+oSjR4/Cz88PHTt2RExMDE9h902bNoGPj4+kSd+/f0/kNs6dO8cYo7KyMowZM4ZhbwiAS1Pt8+fPMDc3x40bN/D8+XOoqakx6gYPHjxIotb0Roc+14QJE+Dv70/ee/LkSSxduhTt2rVDbGws3r17h+7du0NdXZ0QUV4uFy9fvmSMNT12BQUFiI6OhpWVFbp16wZvb2+yccrKyoKamhoePXpEnDAkJCQgLCzc7BIZWnTc398fDx8+xIkTJyAiIoLU1FRSO6uvr4/s7Gxs376d0fH+X0QbsfuP40dSpGw2GwcOHICTkxOuX7/OmMjXrFkDJycnYrvU0sQOqEnlSUlJQUxMDN26dcOBAwfw4cMH2NraQlpaGoKCgqRZQl9fH69evYK1tTUMDQ2JkOWtW7cQGRlJzvns2TPExsbC2dkZCxcuJJ85ffp0qKurY9q0aTzTa78SvMb2wYMHSExMZEz2NEpKSjBixAi4urqCzWZj5cqVUFFRIdItU6dOhZiYGKlZKi0txa5du7i69Tgn3Hnz5qFv375kAqP/u2bNGiIxQqO0tBSxsbEICgqCtLQ0IwL66tUrhISEIDY2FpMmTWLUWm3cuBGvX7/GpUuXoK6uTiI0iYmJoCgK1tbWjO9ZF2GiJRM6d+6MXr16QVBQEElJSeQZKCgogLm5OdmVv3//HhEREdi4cSOePHnCdT5OEvnt2zckJiaSe2Pv3r2QkZHBxIkT0bFjRxgbGzMidw155P4K1PVZtecAzvvqwIEDGDBgANfvWxv0MTdu3MDhw4dJNyAARhE8J4qKirg6bGls2LABFEVh0KBB5LXy8nJYWVmhd+/ekJKSIpFe4P903XJycshnPX/+HBkZGYzU+d27d+Hp6YlTp04RUkd/p7t37yI2NrZBEsD5XaZNm1Zvl2rt701HAG/duoUTJ07g+/fvjYr48ZqnaYmZ2vd/fHw83N3dISoqymiIKyoqgre3NzIyMkjE/vHjx5gyZQppCmKz2Xj9+jXs7Oywdu1a6OrqYtCgQYx5cMCAAYRs0787PQaxsbHEm3fkyJFQVlaGlJQUtLS0IC4ujvv379frcrF582aYmJgQlwtO0Cno9PR0hIWF4ejRo+jatSs8PT2xd+9efPjwAWpqatDT04OLiwtERUVhYWHRpEhdfc9jfn4+AgMDYWtrC0FBQSKhc/jwYYwbN47rGWltvdbmoI3Y/QagH67Hjx/jwoULyM/PZwjG1vV++v+bejxQc/PWVV8SHByMsLCwH/kqPwTOerFVq1ZBQEAAgYGBiI2NRY8ePYhIaXJyMlgsFnR0dBAXF4eRI0eioqIC48aNg5SUFIKDg5GamkqEiYOCghif8/z5cwwePBiurq6k3gKoSX+Kiopizpw5LfYwc05AFRUVjAX30aNHGDx4MKSkpBgdjEDNbpw+Ni4ujtgC0dp9mZmZOHXqFHbv3o3du3ejoqICJ0+erFPtHfi/356+hqysrDolRvbv3w8BAQG0b9+edFy+efMGQUFBcHNzI76jM2bMIKLWNKZOnYrIyEgSDV+0aBG6du2KmJiYBsf95s2bRMCUvtaEhAQMHz4cpaWlqKqqwtu3b6Gvr4+EhAR8/PgRY8eOhYODQ4N2VrQ35+PHj/Hy5Us8ePAA+vr6JJX1119/QVJSEnp6eoyu2tbY9AA1KavVq1cTr1deqH1tdVnpcY77jh07IC8vDxUVFRgbGyMqKorxvsaS2MzMTAgKCiIkJASioqJYsWIFmY9mzZoFeXl5Ro3l9+/fERwcDH9/fxJVvH37NoyNjdGrVy+Ght2XL19gYmICiqIQHR3N+NxRo0bBxcWFSBbVd711kWGa2HJ2e3N+9+rqarx8+RLW1tbo3bt3vfIuvJ6x2mM0d+5cqKqqonPnzoQ0btq0Cbq6uvD19SXPUHFxMYKCguDu7k7G6NatW9DW1kZkZCRXowxd89alSxfG6+PGjYOZmRnDhnDv3r2gKAqPHz/Gnj17ICgoiLS0NLi4uODixYt4/vw5goODISIiguTk5DpdLoCa9KaPjw/Z2BUUFJBnhh47c3NzSElJYfz48Xj37h26du0KNzc3HDhwAG/fvsXo0aMxbtw4XLlypcF1rK7x3rVrF5YvX45FixYxdCofPnyIDh06wNzcnPEb154D/+toI3atDPqG2rNnD3R0dKCrqwtdXV0MGTIEd+/e/eXH8zpXfHw8evXqxWUi/quxfPlyiIiIwMvLizzQV69eRb9+/WBnZ4dt27YhKioKEhISmDRpEqZOnYq+fftCSEiIRFdooVMfHx+IiYlh0qRJjM94/vw5evTogZiYGMZDvHTpUuTn57fI96ytk9a5c2d07tyZYRr/6NEjxMXFQUZGhqeoJ5vNRvfu3bFp0yacPXsWEhISyMzMxLhx46Curg41NTUICAggISGBdLTWF9mh/z8rK4unxIiNjQ35TbZs2YJ27drByckJ1tbWcHV1ha2tLZncV65cCYqikJqayqhxioyMhJWVFYD/syqjPT2BGmPyQ4cO4fjx44zrLCgo4CIDQI0zjJWVFYyNjREQEIBVq1Zh0aJFUFVVhYaGBpSUlBr0c96/fz/s7e3x9u1bhnSHo6MjWZz27t2LkJAQzJ8/v1XSr5y/E516d3R0hKGhIezt7Xk2g3CiPlJIn/v9+/fw9/fH+vXr8ejRI6Snp8PKyoqh2dWYTQ+tu0nLp4wdOxYCAgIknfjixQsMHDgQurq66NKlC4YOHQpPT09YWFgwSF27du2QnJzMsyHs1q1bUFJSQmBgIPbv34+jR48iKSmJdMjXJmWNRW1iy0kcay/4WVlZcHJyQnR0dJ1NI3Vh06ZN4OfnJ3Wrly9fhry8PMLCwkhaNS0tDXZ2dtDR0YG3tzdpFqLH6N69e5CTk8PYsWN5ppy/f/+OiIgIiImJYcGCBZgzZw7i4uIgKSnJaEp58+YNJk+ejOXLlwOoIZA+Pj6kwxyouUdSUlKgqKgIGxubel0upKWliTxLQUEB5OTkQFEUgoKCsH37djx8+BBZWVkwNDSEkpISTp06hXv37qFr165o3749F0H9EaSkpEBJSQn+/v5QUlJChw4dcOTIEfIc0GnZurqv/wS0EbvfAEePHoWMjAxRTp8/fz7atWuH0NDQRokkN/d4ThQVFcHNza1JNi0/A/n5+cS6ZdSoUWTBKS4uxo4dO+Dp6Qk7OzusWbMGqampCAgIgKWlJRwcHGBgYIDMzExkZmYSElRYWIjJkyfDxMSEuG7QePPmDc9uuZZGSkoKVFRUMH78eMyePRvi4uKMeqFHjx5h6NChoCgKycnJWL16NSP6NHnyZAgKCkJYWBhbtmzB7NmzoaKiguPHj8PHxwcdO3YERVGIjIxsdJqZlhihwdmFam1tTcjd+fPnsWbNGkycOBFbtmwhotn0Akg3XaSmppKF5/Dhw6QTz87OjmFVNnbsWKirq8PCwgJCQkIMQvr06VNSbE1PxLNnz4aYmBimTZuG1atXw9jYGFZWVjh79izu3r2L/fv3M6ISdWHfvn1QUVFhyDps2LABRkZGyMnJwffv39GpUydMmjSJ3JOtlaJZtGgRVFRUSKqRtq6ytrbmWb8FNI4UXrp0CeHh4ejRoweJEJWVlWHz5s2wsLBoNLn79u0b4uPjuSzXaIkUmtwVFhZiy5Yt8PPzQ79+/TBhwgRyH3z69AlhYWFITExknKOiogLv378nKfU7d+7A1tYWurq6pBNeVlaWJymr75obQ2zp95w4cYJo5AE194mtrW2TyV1WVhaOHDkC4P9I95UrVyAvL49OnTqR+q7z589j0aJFmDBhArKzs8kzVlpaiqFDh3Lp7X348AH37t3DoUOH8O3bN1RUVGD8+PFwcnKCvb09+vbty5jXb9y4AUtLS5iZmZEO3LKyMnh4eBA7SXt7e7i4uEBWVhZ5eXmNcrmg8ezZM3K8oaEhXFxcSPd6fHw8pKSk4Ofnh5s3b+Lu3bvw9fVFSEhIk6J0tbFkyRKoq6uTuk/aeal2mv/hw4cIDg6Gvb19k4n5fwFtxK6V8eXLF3Tv3p1Ell6/fk12aXZ2dggJCak38tbc43mhJRpHeKWxHBwcoKysDD09PRw/fhz79u1D//79ISkpCRERESLJAtR874qKCvz777/4+++/ISgoCFFRUcai8urVK0yZMgUmJiZITU3l+rzWLH7fuXMnDA0NSS3Tvn37ICIiAj4+Pkazw/Tp0yEuLg43NzdQFIWePXuShaqkpATdunWDjIwMzp8/j27duiE9PR0dO3aEvr4+ZGVlMWbMGIiJiSEyMrJJkR2At8SItbU1T2cKgLfdHS0z8PXrV5SWliInJwfDhg1jLOYzZ86EiooKibSkpaVxEVJ6lx0aGko6DDnlVJ49ewaKohh1W/V9P87rDAkJgb+/P7meW7duwdfXF+rq6tDS0mJEk1or/frlyxcMHjwY27ZtA1CTHpaSksL8+fNJRLUucgfUTQqtrKyQnJxMov2cKC0txebNm2FjY0PqrhoCZ9cxJ6HiJHd1pbuqqqrw4cMHmJqaMmrLjh8/juHDh0NeXh4yMjJEqP3bt294+vQpbt++jQ4dOvxwtLE+Ymtubo7OnTtj165dUFRUxODBgxnkaN26dbC1tUVUVFST7K14gSZ3oaGhddbt0d8jKCiIYWH2119/YeDAgZCQkIC0tDSMjY1JiUFRUREqKyu5OsL//vtvBAYGQkREhCFp8+HDB/Tr1w/Kysrw9/fHggULiJB5fS4XtQkZm81Gfn4+nJycICQkhI4dO2LJkiVo3749OnfuDIqiICYmhn79+uHWrVt48OBBszrNP378iOTkZDIH7Nq1CzIyMpg3bx4sLS1haWmJgwcPkjG8d+9end3X/3W0EbtWAP1A3L9/H8XFxTh16hRu3LiB9+/fw9zcnOzE6KiEp6cnYyfU3ONbG5wP0rt37/D8+XNUVVVhzJgxcHR0hLm5OXR0dCAvL4+BAwdi69atKCkpgYmJCVlgOM9RXFyM9PR0yMvLMyY7oIbopqamol27dqQhpDVQO+2ZnZ2NuXPnAqjpUpOVlUV6ejr27NkDiqIQGxuLzMxM8PPzY9euXWCz2bh48SIoimIUe9+8eRPe3t4QFRWFkpISrK2tYW5uDi0tLSxZsgRVVVWYPn06KIpCp06deGpoNQY0uXN0dIS9vX2ja0BpcjdlyhSe3qFPnz5F7969iZfrnj176iSkDx8+hJ+fH0RFRTF//nzyWRUVFXj58iUsLS1JKqc+AlZ7kd+zZw9cXFwYz8jt27exb98+EikBWq/+Zt26daiursbx48fx+vVr3LhxA3p6eiR9RktIqKmpESLcECmUlJQkpNDCwgLjxo2DnJwcVxSotLQU2dnZcHNz+6FFt7bEiKCgILKysuq8f0pKSuDj44P4+Hg8e/YM8+bNg6mpKbp164b58+eThgM6+tfcaGNlZSXmzZtXL7E1MDAAPz8/w6qOE1u3boWjoyO6d+/e5E10bVy5cgUKCgro1q0bzxQrm81GWVkZ+vfvj7CwMGzduhWTJk2ClpYWBgwYgPXr1+Phw4ewtrZGx44dyTG8zlNZWYmzZ8/Cx8cH6urq2LhxIyGnHz58aLTLRX04e/YsxMTEYG5uTjpSv379ikuXLiEkJARDhw6Fo6MjwsPDf7h0iEZ5eTnOnz+Pd+/e4e7duzA0NCQKAkeOHIGgoCCsrKzqFL/+k9BG7FoJe/fuhYqKCnJzc0ldRXZ2Ntq3b0/Sbdu2bYONjQ0iIiK40krNPb61wPkwTp8+HQ4ODtDR0YGDgwPmz5+PTp06QUNDg3REcZq3p6amwsXFhau9H6jZlS5fvhxSUlIYPXo0428vXrzAmjVrfosuJ1q8s7y8HI8fP0ZJSQns7e0xe/ZsADUF/LRDCIvFYkxC3759g42NDVJSUhAdHY2VK1di/vz5SE9Px65du7B27VocOXIEU6dORWhoKKlvmz9/Pnr06AEfH59mTWDV1dU4ffo0kRipD7zIXWpqKmNBr6ioQGlpKXbu3ImPHz/in3/+IYQUAE9C+u+//8Lf3x+BgYEM8d1JkyZBR0enwfs8MzMTysrKyMjIIOnXz58/w9TUlGtTwImWvHc4x27BggUQEhJiRIPWrFkDX19f0pG6c+dOxMfHIyEhges6a5PC69evQ09Pj3T/0vWQKioqROi8tiYc7Xjwo+C852gNw7rcP4CaTm1zc3MoKipCSkoK6enpjPpXX19f0sndECmrK9rIOcbFxcVYvHhxncS2S5cuUFBQwIsXL1BSUoKjR48iIiICgYGBOHnyJICacWzfvj1ev37NOH7WrFkk2tVYXL16FRRF1WtTd/XqVTg6OsLExASqqqrYuHEj494fOXIkvL29uawgHzx4gMuXLzOagAYMGAAJCQmIiIhAUlIS48aNw/fv3xvlctEQpk+fjr59+yI/P59kkejnt6GxaywyMjJIKpmOrK9fvx6urq5Ek3XHjh2IiIhAXFzcb7EO/Gq0EbsWBP0gfP36FYMGDSJddzQWL14MfX19UkeSkpKCKVOmkAW6ucf/TkhNTYWysjJ27NiB4uJimJmZwdTUFNevX0dJSQn279+PTp06wcbGhtRL9OvXjwgJHzhwAKtXr8aaNWsYop3p6emQk5Mj3aK10ZoPdWZmJhITExnSG7du3YKBgQHRIiwoKEDfvn3RrVs3sFgshv1Q586dIScnh/j4eDg6OkJeXh6urq4QExMjk3pVVRUiIyPh4+ODr1+/ory8HJ06deKqm/tRVFdX48qVKzzHsa5ULv3dOVOl8+bNIyKzdNpp2rRpCA0NJaneuggpnZbt2LEjrl27hrlz50JERIRno0TtxaegoACDBw+Gt7c35OXlMXHiRNy9exfHjx+HjY3Nb2MpB9RoNyYlJXFZBU6YMAGqqqr4/PkzSkpKEBoaShpvaLkfgJsUstlsrFmzBjY2NggNDYW3tzc6duyIvn37IiEhAW/evMH8+fNhbm7OUN3/GeD8/TIzM3lGPzl/qxs3buDMmTNcEeavX7/C39+fiOA2RMpqRxvpz6Cjx/Tc8f79eyxYsIAQW85rmTZtGkRERHDkyBF06tQJAQEBpNhfQ0ODbDQ5HReAmppSztKJpuDBgwd1HkdfW1FREQoLC3mWRvTr1w+DBw9mRNdoRxo5OTnw8fHBw8MDQ4cOhby8PJEgUVJSAj8/f5NcLuq6PqCG2NJjRz9zioqKsLa2rnfsGovXr1/D39+foT/JZrORlpbGWE86derEaNT608ldG7FrYVy4cAHGxsZwc3Mjuwz6QaC15dzc3BAcHAwxMTGu8HRzj29tVFVV4d27d3BxcSG7xr///ptLgZ7W2hs9ejQ+f/6McePGQUFBAffv30dKSgp0dHRgbW0NR0dHWFpaEokDmtwpKioyGhF+B6SmpkJPTw/jx48nUiEvXryAuLg4EhMTcfXqVWKEnp+fj6FDh0JKSgonT55Ev379YGpqiocPHwKoWZhCQkJgaWmJgIAAREZGkqjK33//Tax4jIyMYG5uzrWQ/gi5q21jdvbsWRw9epTo6AF1d96y2WzMmjULYmJiePHiBcaPH8+TkPr6+jaKkObn5yMkJASKiooQFBTkScg4F5jVq1cz6iyfPXuGTZs2wdnZGba2tjA2NoaGhgbWrVv3w+PzM3HgwAFYWFhAS0uLFHfTY/vmzRvo6elBVlYW+vr6MDc352oCqosU0mKso0ePxvjx46GoqAh5eXkyT7x58wYLFy6EmppanZsjoO7xaYrECC9yV9/x1dXVmDRpEjQ0NPDvv//WSco4wRltpO+HI0eOoHv37vD29sbQoUPJM1VUVESihZznKSkpQY8ePSAjI4N+/fqRzdbjx49hbm5OInK8Ilj09zlw4ECDHdq1sXXr1kaV0HB+7tevXzF+/HgoKCgwhOsvXboEKSkp9OvXD/z8/Fi6dClsbW2JmgBQI0ckICAAAwMDlJaWEtJVn8sFr+vgvBdrj9369esREhICGxsb6Orq1jt2vMDr/sjLy0PPnj2hr69PfJCfP38OdXV1aGpqQlNTE5aWlq3aKNfSaCN2LYy3b9/CwcEBFEUxwuE0srOzkZiYiIiICEan3s86vjVQXl7OqK969uwZ9PT0UFZWhiNHjnAp0GdmZpId3Lp169C/f3+oq6vj2rVrpAicVl9fsWIFKIqCgYEB2ZUXFxcjLS0NgYGBLVrszom6Fqj58+fDyMgIY8eOJV2fa9asgZSUFAwMDODs7EwmoMePH2Pw4MEQFhaGkpISkZ9JTU3F4MGDMXToUDg4OGDjxo1wdHRkNBOcPXsWycnJmDFjBpfgJue1nTp1iqfECC9wjuW4ceNgZGQEVVVVuLi4IDIykvytLhJ548YNWFtb4969e4S4NZWQcuLBgwcIDQ3leZ9zfsdLly6hZ8+ekJaW5tJ+e/36NS5evIiuXbtCWloa2traP1yH+DNx+/ZtREREQFRUFDNmzCCv079hcXExlixZgjVr1nAJq9ZFCu/cuQMTExPIy8tDVlYW2traEBAQgIqKCtTU1Ai5e/v2LZYvX06K72uD8z7YvXs31q5dy2ha+hXRkEOHDiEuLo50UvIiZY2JNu7duxfi4uIYP348pk+fjoCAABgbG+Pu3btgs9nEC1dUVBT6+voYOHAgkfaoneZPTk6Gvb09Q4ybBj0GbDYbN27cgI6ODvr3799otQFOp4bGIjs7GwMHDoSamhoXiczIyIC+vj7DHvD169cQFBSEra0tcbkYNWoUXrx4weVyUft71QZ9Txw/fhyRkZHo3LlznWN3//59GBoawsLCgufYNQa1s1B5eXkIDw+Hnp4e2WgWFBRgzZo1WLduXYMC3X8a2ohdK+Ddu3ewt7eHkZERqR2pTUDqmxybe3xLYteuXejatStsbGwwffp0ADWLrq2tLcLDwyEpKcmwa/r333/h7u6OAwcO4N9//8XgwYORkJCAhw8forCwEFFRUdixYweAmqYDKSkpTJs2Dfb29jA2Nia6V58+feKqL2kNXL58mUudPy0tDUZGRkhJSSGRRrr+qbaV0qNHjzB8+HBISUnh8OHDePv2LZydncHHxwcVFRWYmpqCzWaT1FBdqG3NBIBo3vGSGKkPs2fPhpKSEs6fP4+ysjKMHTuW1MLR4HX/eXt7Q0hIiESRdu3a1SRCygsN7cLHjBkDb29vhIWFQVVVFaqqqoyUDCeOHj0KDw8P7Nq1C0DL3Td1bQLy8/PRr18/2NjYMLp9GxIavnXrFiGFnFHKK1euYNCgQXjz5g2mTJkCRUVFREdH48KFC9DX14ehoSFJ2zbGS3bkyJFQUFCAlpYWTE1NGeT+R+afuj7zwIED6Nq1K5ycnIhIdW1SBtSQu/qijXfu3IGFhQVxTKGtCTmJ7d69eyEmJgYfHx+kpqbCwMAAhoaGDPP5s2fPIj4+HrKysjxdEXh9j+zsbDg6OjZJGoXT5aKhjttnz54Rfc4zZ85g8+bNWLVqFckMdOrUCSwWi7hc0NG4Hj16gJ+fH8LCwnW6XACNexZo0jx69Gikp6fXO3YyMjI/7P26detWRvaCRm5uLvz8/GBoaMgzgv+7rIktgTZi9wtBPwzXr1/Hxo0bsXHjRiJvUVRUBGtra1hYWDS4M/7R41sbmZmZkJKSwogRIzBs2DDw8/OTSMDQoUMhJyeHkJAQ8n5agd7Pz488hB8/fmQ0S+Tk5KCgoADXr1+HtrY2mXiWLVsGiqIgLS1NyBLQuqTu+PHjkJKSwsKFC7k63KZPnw5hYWGMHz+eq7i6tiwHHbmTlpbG4cOHsXnzZkLsunXrBg8PD2zevJko2TcGtOZdfRIjvK7n0aNH8PX1JREa2vt1yJAh0NDQYCjdcx739u1bmJiYgI+PD1FRUcSQvLGE9Eewbds2SElJ4eLFi6ioqMDDhw8RHx8PAwMDhq0cpxC3r68v+vfv/8Of2VRwjlFubi4OHTqE69evkwj33bt30b9/f7i6ujI2QJxOCJyg7/dLly6hd+/esLGxwbBhw0gUg77XBgwYgF69eqGiogJVVVUICQkBPz8/jI2NUVZW1uBz8+TJE3Ts2BG3b9/Gq1evsGbNGlhaWjZKYqQhlwdeOHjwIExNTeslZUDNfbZs2TIyJ3LeP9evX8egQYNQWVmJ58+fQ19fH4MGDSLEVk9PDxYWFkSI+uXLl9DU1MTgwYPJOQoKCjB58mR4eXnxJFucv8fy5cuRlpZG/r1x48ZG6d79qMsF3YBkbW2Nvn37YsyYMQBq5mEBAQGIiIhASkqK4XKRmpoKAQEBuLi48HS5aCwZev/+PZycnEi3+o+MXWOxe/du+Pj4wNPTk4vc0euApKRki2ux/k5oI3a/GLT+UYcOHeDh4QFdXV3S9PD27VvY2NjA1ta2TteD5h7fWli1ahUEBQWxd+9eADWTee/evTFw4EBoaWlBQ0MDkpKSaNeuHTw8PBAbGwsPDw+iGVZcXFyvJQ8tiEkXDm/btg0DBw7EqFGjfqudWWJiIvT19bF48WIGufv27RvU1dXRrl07hudqXVi+fDnc3d0hJycHfX19SEtLIzg4GJWVlUhOTkZoaCikpaWhpKTUYETgxYsXjZYY4QRnerywsBAXLlyAmpoaqY2Mi4sDRVHEy5YTbDYbmzdvhoiICLKyshAeHg4PDw9s2bKlSYS0KUhNTYWzszPjtUePHqFXr16Qk5MjmwLg/yJ/UVFR6N69e4u4rnCO0dixY2FoaAhFRUW4u7tjwIABJE11584dDBgwAO7u7kS+AaibFBYUFMDf3x8RERFwd3cHi8XC0KFDyXs/f/4Me3t7ImheWVmJmJgYbNq0iRFdqQtr166Fu7s7unfvTrTRSktLsWXLFlhYWNRJ7jlRl8sDZ/NHZWUlOb4hUkZHG+k60Ldv35I04JEjRwixpSPSnMQWqNEy5OPjg5CQEAoLC/H69WuoqakxiAlt7/fu3TueUiScSE5OhqamJmbPnk2iZvTY0eSuLnJT+9lpyOWCfv+dO3cgKyuL5ORkooywadMm8PHxYcSIEZg7dy60tbUhJiaGsLAw4jqhoKAAS0vLOl0uGjOfFhQUwNDQECUlJSgsLGzW2HGirvsnJycHvr6+cHV1ZdQSHjp0CD179sS8efN+q3WgpdFG7H4hbt68CUVFRdL9d+HCBQgJCTHkOIqKiqClpQU3NzeutFJzj28tnDp1ishbcEJXV5dMnkFBQfD394eEhASUlZVJZx+treTl5YUzZ87U+RkTJ06EvLw82Gw2vn79irCwMIbRfUs/1PUVfSclJUFbWxuLFy8mO+WnT58iISEBK1asaPBaP3z4gO7du8PU1BSqqqpwcnLC+fPnER0dTdKGZ8+exbBhw+Dh4VHvtTRFYmTHjh2E/MTHxzMmaqBGYmTAgAGkiD0tLQ2dO3dGdHQ0+U47duxg1LUNGTIEnTp1QmVlJVJSUppESBsLTmswU1NTxsQP1KRcRUREoK+vz3ASuHLlCrS1tVtc83HOnDlQVlYm93tiYiJERUURGhpKFsE7d+4gNDQUgwcPZvhDA9ykMDIyEpMmTYKhoSGJxri7u5MoJZvNRpcuXeDo6IiTJ09i1KhR0NXVbVQ9V1lZGaZNmwYDAwNYWFgw/kaTO2tra3h6enId25DLA21h9fbtW7KJaCwp44w2FhUVwd/fH8OGDcOGDRtAURTZYAI1dbycxPbly5eIiYnB6tWryetaWloYPHgw+YyXL1+iU6dOxDGiPqxYsQIKCgqMdCDnM75t2zY4ODigS5cuXBsoeoxOnz7dJJeL9+/fw9PTE4mJiYx7o2vXrqAoCsHBwVi8eDHS0tIgKSkJPj4+SElJQVFREVevXuXpcgE0HDGnNwJfvnyBi4tLs8eOE5zz2O7du5GdnY3169eTaPbff/8NPz8/2Nvb49KlS3j58iW6du3KkIn5XyV3bcTuF4C+IXfu3AlfX18ANTUQmpqaGDJkCHkfveAUFRUx0qnNPb61kZ+fDw8PD4SGhuLy5csAgNDQUEhISKBr167IycmBoaEhhISE4OrqyuWQcffuXXh5eSE4OLhOL79Hjx7BxMQEUlJSMDU1ZdhTtTQ4J6C9e/ciLS0Na9euZRCEpKQkGBgYYOjQodi0aRMCAwNJZKOgoICxe6+urubatRcXFyMvLw8WFhawsLDA9OnT0bVrV0YkhvM4XhMarXkHNCwx4uXlhb59+8LR0REBAQGQkJDgalLo2bMnHB0dAdQQxq5duzIWo/fv36N79+5ELLWwsBC5ubmIjo4mC21jCWl9qOu43NxcaGhoYNy4cYxIVG5uLsLDwzFixAh4enoynh1Oy7aWwKNHj+Dh4UG6f48ePQpxcXEMGDAAZmZm6Nq1K4ncPXnyhHxX+neuTQoTEhIgKioKT09PtGvXjgjXBgUFEfkL+nO8vb2hrKwMY2NjIilUG7xSsu/fv8fixYuJEwMnSktLsXr1akRGRvL8XRoSFKY3fMOGDSO+s/WRMl7RxrKyMsyaNQuGhoYQFBQkEWXOhgaa2GZnZ0NLSwuqqqr4999/0bdvX4iIiBCHGxopKSmwsbHBy5cveY4TjaqqKsTFxZE06P3795GdnQ0HBwe4uLiQjtoVK1YgOjqaZ1aCztLExcU12uXi3r170NPTw8mTJ8k5V6xYAUFBQSxbtgx+fn7o2rUrtm/fjufPn2Ps2LGQlJQkskh1fZf6cPfuXfj7+yMvLw/l5eXNHjtOcN53o0aNgqSkJKytrSEsLAxXV1dyT5w5cwahoaGgKIqr4ao1y3BaG23E7heATgGsX78eoaGhePDgAdTV1REbG0selrNnzyIlJYVnB15zj/8dQGuNBQcHw9bWFpaWlqR9//3799DT0wOLxcLevXt5OmRwapVxkrva9V6xsbFYv359owrtfwU4J48xY8ZAWVkZfn5+MDU1RUBAAFH7B2o0ndzd3aGnpwc/Pz9UVFRg0qRJsLCwgKSkJPz8/LB+/XqSBrx58yauXr3KFUkZP348evToAV1dXVAUhWnTpvG8ptoTW1MlRgoLC2FhYQGKoohlHfB/u/j9+/dDX18fNjY2sLe3Z5BrTq/fvLw82NnZEULarVu3JhHSxo7/9u3bsWjRIkydOpVEdzZt2gRxcXEMGzYMBw4cwMOHDxEQEIBhw4YhNzcXFEVxSYL8SvAiOzt37sTLly9x8eJFqKqqEiISFRVFUtucOl/0OeojhQYGBvDy8sKUKVPg5OSE/v37k3PQY/bhwwc8evSoTjJb2yHm69evZG56//495s+fz1NihDONzXmOxggKW1lZQVdXt1GkjFe0kf5uV65cgZycHLS0tIhkEud5aGLbrl074k8N1BAxKysreHl5YebMmdi6dStiY2MhLS3NM5LL61kbMWIEpKWlsWTJEjg6OiI4OBiTJk2Ct7c3jI2NGd+l9hidPXsWEhISTXa52LhxI/j5+RnX8eLFCyLifevWLfj4+MDOzo7U0DbkctEQLl26BFNTU1Ia1NSxawwKCgpgY2ODy5cv4/v373j37h0CAwPh7u6OY8eOAagpazl+/DhycnLI2P6vRupotBG7n4BHjx4R8rFr1y4EBgbi27dvOHbsGOTk5CAtLc2lah8fH4/w8HB8+vSp2cf/rsjPz4eVlRUoisLMmTPx/ft3VFdXY82aNUTS4vz583U6ZHCSO1qzj8abN2/QsWNHhll4a6Zfly5dCk1NTaKjtGTJEggLC8PJyQkbNmwg73v79i1evXqF6upqTJ06FUpKStizZw8KCwvh4uICCwsLLF68GOPGjYOuri50dXUhISGBtWvXMhbgvLw8zJkzh6sblQav3WpTJEaqq6vx/Plz9OnTB2FhYXB3d2fUpAE1ncf79u1DQkICkpOTCam7fv16nYS0Z8+eDRLSxoKT7IwcORJKSkpwcXGBgYEBZGVliYXctm3biJG5rq4urK2tUV5ejk+fPsHCwoLhYNFSuHDhAlcd37hx4xAVFUVenz17Nvz9/ZGcnIzq6up6SeGFCxegqqqKGTNm4OnTp+jRowcoioKzszPGjRsHJycnDB8+nPzuK1euZOgP1gbnZ82ZMwdeXl6wsrJC3759GZmC+fPnw9LSkvEc1kZjXR6+f/+O7OxsWFlZQVZWtkFSVl+08cmTJ7h48SLmzJkDJycnJCYm4vPnz+Ra3r17R4jtrFmzICgoSCRC7t69i4EDB8LExATW1tbo1KlTg40Snz9/Jk1e7969Q1RUFHR0dDB37lxCak6ePAkvLy/Gc1z7nqedGgA0yeXi3LlzEBAQIDZznOelrzMrKwsODg6MYEBjXC5qXyvn9S9duvSHxq4xmDVrFjp16oTu3bvj+/fv5PPfvn0LV1dXBAUF8Tzuf53UAW3Ertlgs9mIjo4mNWUURTEW8smTJ4OiKGRnZ+PZs2d48eIFkpOTIScnhzt37jT7+N8RnA4ZPXv2hLGxMcMCavHixRATE4OTkxOqq6uRkpKCyZMn83TI4BW5e/PmDWkkaQ1z9sTERCJhUl1djS9fvmDIkCEkDbl3717IyMhg7Nix6NChA5c1GlBDzGxsbIjUx+nTpyEmJgZHR0fIyclBSkoKhw4dApvNRkREBKSkpDBv3jyunXVubi5XBIATM2bMwODBgwnhrE9iZPr06Twjn0+fPsWAAQPg7OxM9AZp1G5ymTBhQrMIaWOxY8cO9O7dG0BN/Y2ioiJu3rxJ6v3i4+OhqKhIahALCgpw584dXL58mYzT6NGjoaen98NWRk0B5xjdvn0bFEVh8eLFjPKB/v37w8nJiYx9t27dGPWJ9DnqIoXe3t5QU1ODjo4OlJWVYWlpieTkZHz79g2pqalwdXVFYGAghg0bxuU5XBdosdv169dj3bp1cHFxgZGREZl7aIkRRUVFLFiwgHFsY10eOFFWVoabN2/yJGWcqB1tpD/r8ePHePr0KdG0LC0tRWpqKiG2X758wYkTJyAvL4/IyEgy1nTkmpZLKi8vx/fv3/H161dy3Zzg/D3nz58Pf39/uLq6omvXriTFzLnprq6uhr+/P7p27cqzsYgGp1NDU1wuNmzYAGFhYXTq1Imrq53GqFGj0L17d66xrM/lojZOnDgBHR0djBs37ofHrjGorq7GkiVLICYmBgMDA3LN9Hx/7tw5CAkJkTW0DUy0EbufBHt7ewgLC5OdD+eDMmLECMjJyUFRURF2dnYwMDDgEpBs7vG/GzgdMrZs2YKAgAAEBQXh3LlzcHFxgYiICFxcXBAcHAxRUdF6HTJochcYGIj9+/fDz88PJiYm5CFvydq6V69eQVNTE6ampgySlZ+fj5cvX+L+/fvQ09Mj6Ynt27dDQkIChoaGDBHXoqIirF27FuXl5Vi2bBmJMN2+fRvi4uLQ1NTEtGnTsHPnTsjKyiIsLAwURWHevHlk4eAErzHg1LxrSGKEc6Havn07Fi5ciPnz55P6s8ePHyMqKgru7u6kvsnX15ehFzZt2jQoKyvj2LFjzSakDWHNmjWkeH/58uVwcHDAt2/fGA1EUVFR0NTU5FpcLly4gPDwcCgoKPywllZTwPn95s6dixkzZkBYWJh0A9PjsGnTJtjZ2cHGxob4gNLRU/octUkh/Xr37t0hKCiIzMxMbN++HXp6eqAoijhpfP/+HRkZGejevTvat2/fqEaVQ4cOwdLSksiRHDx4EBISEjAxMYGamhohhm/evMHWrVsZc1ZjXB5oQWE62tcYUgbUHW3ctWsXIbacmyn6PDSxDQkJAYvFgqysLCwtLXHq1ClkZWUhLCwMGzZsQHV1daOJzrhx46CoqIiVK1fiyJEjaNeuHZycnAjx+vbtG3bt2gUfHx+G+wFnA0x9Tg1NcbnYsWMHhISE4O3tTTY0QA3BTE5OhqysbL3BgMbMo/v27YOQkBDk5eWbPXac4PV9Pn/+jLVr10JISIgronj69Gno6ury7N5vQxuxazboG9nExAQWFhaQk5PD6dOnud6Xm5uL/fv34+zZs4xQeHOP/11R2yEjPz8fwcHBEBQUhJGREbKyspCYmIg+ffo0KvKYn5+PoKAgUBTVaqSOxoMHD+Do6AhjY2NCWOjrWbVqFVxdXclufefOnQgKCsLcuXNRXV2NtLQ0bNq0CVVVVfjw4QOePHlCJEzy8/NRVlYGW1tbaGlpoWvXrlBVVSVRG3rCnzJlClnkOMFrcmyqxMioUaOgoqICe3t7mJmZQUREBJs2bQJQU3IQFxcHLS0t6OrqQkdHh/x2t2/fhq+vL/bv3w+gZgH4UULaGBw6dAhycnL4+vUrli5dCiUlJfI3Oqrx8OFDyMvLM3TSgJp7MykpqcXt9qZOnQp5eXns378f27Ztw9ixY8HHx4eZM2eS6964cSOGDRuG0aNHE+JGL5R1kcITJ04gIiICSkpKhBQaGBhgzJgxDHJHn4fTBaY+5ObmEuJ+6NAhyMvLIyMjA7m5uVBWVoaBgQEXMeZc1OtzeQCYgsKhoaGNImW1o430PU/Lk2RlZWH79u1ISkoCHx8f1q1bBzabjbKyMkJsXVxc0L17dyxfvhwjR45E165dyX0dFhbWaKmbx48fw8bGhri2HDx4ENLS0oyo9qNHjzB+/HhEREQw3A+a4tQANM7lorKyEhMnTgSLxYK0tDS6dOmCwYMHIyQkBMrKyj8UDKg9pxQWFiIuLq7ZY8cJzk3lhw8fGN/x+/fvWLFiBfj5+TF8+HCcP38ed+7cQWBgIJydnVvd+u93RRux+0mgb+jw8HAGOeMsVP6Vx/+OqO2Qcf/+fSQkJDAmuKbs7u7fv4/ExMRWs4fhnEQePHhAPEY5o1GrV6+GkZER/v77b6xevRqhoaFITU0lnpX6+vqMZhA2mw0jIyNoaGigR48eePHiBfr27YujR48iJiaGUXOVkJAAGxsbuLm51Rvl+lGJkd27d0NeXh7Xr1/H9+/fUVFRgVGjRkFYWBgHDx4EUFOQfebMGcybNw+Ojo4IDQ3Fw4cPUVZWhtWrV6OsrAxnz55tEiFtCjgN0A0MDHDv3j28e/cOenp6JDVL48aNG9DX12cUbvMqWG8JfPnyBa6urgzBWqCmFpOiqDp1/Oh7vC5SOHXqVAwcOBAURcHc3JxBCouLizFmzBgICgoyxI154erVqwzZGjp1X1RUhMrKSnTs2BGTJ08GUDNXeXp6Qk5OjqTTa9+PjXF5YLPZePv2LWbOnAllZWWepAwAg5TxijaeOHECixcvZkSPi4uLiSPK+vXrce7cOfj4+ODly5f49u0b9u/fDz09PTx+/Bi3bt1CWloaFBQUQFEUQzaJE7W/I911DfxfNJP+vp8/fyZODh8+fODZHNQUp4amuFxMmDABsrKyaNeuHWxsbDB27FguEfSm4Ny5c/D19SVdrT8ydnWB8/rnzp0LV1dX2NjYIDQ0lGxAKioqsGLFCoiKioKiKIwYMQJhYWFEQ7GN3HGjjdj9AOiH9OnTp3j48CFj519VVYXw8HDIy8vj9OnTqK6uxpw5c9CpUyeUl5czQvA/evzvhh9xyGguKWtNzz96Innw4AHs7OxgYmJCyF1eXh7at28PBQUFsFgsyMvLk2jex48foaOjQ/wX2Ww2ysvLERkZCX19fSgrK0NBQQEGBgaoqqoi6SsaXbp0wY0bN+q1SqM1735EYmT58uXw8PDgItyxsbHQ0NDgqoHMysqCt7c3IaSc74+KiiLfu7GEtD6cPXsWT58+JfVw5eXlMDY2Jtps69evh6WlJTp16oQ7d+7g4sWL6NSpE9zc3Fpl4q/9Pd+/fw81NTViZ0YL6VZUVKBz586gKIqk72vr1PEihWw2m5DCESNGID4+Hnx8fIzaycrKSrx//x6JiYmQkZFh2Oxx4s6dO7CxscHIkSORkJDAVX/38uVLqKmpkfReUVERevTogePHjzPuk6a4PNCCwidOnMCiRYvqJWVA3dHG79+/E2Lr5+fH+Bt9HgEBASQnJ8PS0hIGBgZIS0vDt2/fMG/ePDg4OJDo+unTp+Hr69tg7eH9+/cB1KSgvby8MHbsWEhISDBs327dugV/f39CkOnfjMbPcGqoz+Vi/fr1jXK5aAhsNhtnz579aWNXF8aPHw8VFRWkp6fjyJEjUFJSQocOHYjwfllZGbKzsyEmJkY2GABaREj8v4g2YtdE0A/nvn37YGBgACMjI4iKimLq1KkkRVpdXY1evXqBoih4e3tDVFSUdG419/jfFf9Vh4ymYubMmRgzZgyJbtDkzsjIiKQa//nnH6xduxZ9+vSBvLw8Ro0aRRY9zvRVRUUFMR7v168frK2toaCggPDwcBQXF2P58uXg4+Mj1lCmpqZcciK8SEtTJUboiNbChQshKytLFlF6R5ybmws1NTVy3ZwL1Nq1a+Hh4YEePXqQ+ilvb29GUXxjCGl9uH//PvT19aGgoAAlJSUEBQVh4MCB6NChA0aOHAmghjTv2bMHNjY2kJKSgqGhITw9PQm5bK1d/bt378j3TUpKgqmpKVcacdSoUfD29gZFUdi5c2e9pJAmfbVJ4bhx4zBgwABIS0tzCcGWlJQwbPZqo6KiAnPnzoWSkhLExcVJ6pq+18rKyhAYGAhHR0ds3rwZHTp0gJeXF7lPCgsLm+zywM/PD0NDQwwYMKBeUlZXtJFzjO7cucOT2NJjx0lsJ0yYAH9/fxJN7Nu3L1asWEG+a0NEIScnB56enrh37x4+f/6MsLAwkiakUVpaiqCgIHTq1KnO++5nOjXwcrlgs9nE5YKX7t2PYOLEic0au7qQk5PD6E7PycmBpKQklJSUYGZmRqKNpaWlyMjIAD8/PylfaANvtBG7H0BOTg6kpKSwfPlylJSUIDMzExRFYfjw4aQzCKgRiJw/fz6Xn11zj//d8F91yPgR0F6E06dP5yJ3tdOyHz9+REZGBmRlZTFixAgAgLW1NZemE5vNJnVhtF1Tjx49UFhYiJUrV6JHjx4MJXd6QeVcNG7dutUoiRF6t0sfm5GRQUSGnz17BhsbG0atD/B/KU3OVFBtcufl5UVEZ9PT0xskpE1BeXk5vn37hrt37+LIkSOYPXs2unTpAgMDAwgLCxMZCPrcV69eRX5+PvmOLRndrR1FsbGxIZuyc+fOwc/PD2FhYWSDU1pairCwMBw4cABDhgyBra0tSkpKwGazuUihiYkJ7t27hzNnziAxMREJCQnw9vYmpHDx4sWIjo6GrKwsqftq7PXu2bMHKioqMDc3x6hRo0gkhr7XDh8+jICAABgZGSEgIIDci+/evWuSy0NlZSUGDRpEBIWbQspqRzI58eDBAy5ie+vWLezZswc7duwgUXKgZuM1btw4UBQFCQkJ2NjYkGh07fPXJmanTp2CgYEBqaO7d+8erKys4O7ujsTERMybNw9eXl4wNzfnuan42U4NzXG54AX6+9Njd/jwYTx58oT8vSljVxdu376Nv//+Gzk5OQBqort0KcKRI0cgJyeHzMxMPHv2DAoKCvDx8SGbofLycqxcuZLU7baBN9qIXRPx/v179OrVCzNmzABQsyvV19eHn58f+Pn5MXToUEa7Oa/dd3OO/53wX3fIaAh17bbXrFkDiqIwdepUQu4ePnwIR0dHyMrKMmQOiouLCbnr3LkztLW1SZq0Q4cO8PT0hKurK7kf6PO7u7ujZ8+eZCGoTVI4r23SpEmNkhhhsVgwMDBgkLb09HRERUUBqInMLF68GG5ubggPD8e9e/eQl5eH4OBgns4Qtckdfc0NEdKmgJceF42ioiIMHToUQkJCRKy0oWN+JTg/68SJE2QTEBwcTNJ3u3btgp+fH2RkZBAQEABTU1OYm5sDqNEwc3BwQHV1dZ2k0MHBAdLS0ujZsyeio6MhKCiITp06EVKYl5eHQYMGgaIonDp1qlHXCtTUTj59+hSzZ88mEiO16yHLysrw5s0bMr6VlZVNcnk4ceIET/syTlJWm9xxRhvpzz1z5gySkpKQkJBACCN9nqioKMjKymLy5MlQVFSEvb09VFRU0LVrVxIFo3Hq1Cl4eXmhXbt2DboicG6u582bB2FhYdI4dP/+fdLcEBISgvj4eJ51wD/bqaE5Lhe8QI8vLR/0s8aOE2vXroWhoSHk5OQgKSmJkJAQADWdu9++fYOPjw8RQy8pKSENeJz1s+Xl5cjOzv7htO//AtqIXRPx5csXrFu3DgUFBSgqKoKFhQUGDhwIoKboWFBQEDExMXVqYzX3+NYCr0nhT3DIaAx41aisXr2aaA/S0bbbt28Tn9QlS5YQgk6TO11dXbRr1w4bNmzA3LlzMXXqVMyaNQvTpk1jdMoBQHZ2Njw8PBAZGUnq13iR/MZKjLDZbHTs2BEODg6YM2cOacaZOnUqYmNjyfvKysqQlZUFFxcXCAgIwNTUFO7u7nWmNGtfc0OE9GeAkyAWFxcjNjYWYmJipMGjtZGSkgIlJSWkpaVh6NChUFRUhLOzMyEHjx8/RmZmJuLj4zFt2jSUl5ejuroasbGx6NatG3JycrB06VIuUpiWlgYRERGIiooiICAA+vr64OfnB0VRsLa2JqTw7t27SEhI4PLIpcH5G547dw6XL18mn/H9+3ciMTJixAhS05aUlMSICnGm8hvj8tC+fXsoKytDU1MTvXr14knKGhNt3LNnD2RlZdGzZ0/ExMSgXbt2SEpKYtS9BgcHg8VikfTo3r17ISkpCRcXF+zYsYNxvlevXjVoI7dw4UJISkpi+PDh5Dno06cPOnfuTO5zzu5lGrXv+eY6NfxslwsanK+dPHkSCgoKRIy8uWPHiczMTAgJCWHt2rXIy8vDggULICcnR0pEXr9+DUNDQ/Icf/nyBf369cP9+/fbGiSaiDZi1wB4LaZ06Dk9PR1eXl5kR0mbWcvJyRFi1tzjfyf8qQ4Z9eHs2bOgKIqnxc/SpUshICCAhQsXMkQ/CwoKoKmpCRMTE7KbfffuHVasWAFlZWVGdI4TVVVVjPtlzZo1cHJyIg4KbDYbFy9eJAShsRIjnJN6YmIi7O3tMXv2bJSXlyM5ORn9+/fneT03btxgTKp1kbMfIaQ/E7T2V21tvtbAjRs3oKCgwIg8PX36FOrq6nB1deUpqPr27VuMGDECMjIyGDhwYJ2kcMuWLRg4cCAyMzPRr18/yMrKIjo6Glu3bgWLxYKenh5R6G9MuUNycjLk5eWhrq4OfX19bNmyBUBNenjatGlwcnKCl5cX/Pz8oKSkVOfvX5fLAyc+fPiA9PR0yMjIcJEyGg8ePEBMTEyd0carV69CW1ubkI5///0X4uLiYLFYiIiIQHV1NcrKyhAREQErKys8ePAAz549g66uLkJDQ+Hr6wsbGxscOHCg3nGp/fts2rQJioqKUFVVhaWlJQ4ePIj58+cjNDQUu3fvBsD9bHCmjX+GU8OvcLlYvXo1mZfpsUtKSiJlIz8ydnVh7969oCiKzFVAzSYiMDAQ3t7e5PrMzMzQvn17bNq0Cd7e3kTEHmhzlGgK2ohdPeDcke7atQsXL15kiJ2OHj0anp6eZFebnJyM7du3k3839/jfCX+iQwYv8CIhEyZMgIiICJEvoJGfnw9ZWVlQFEXI18SJExEUFAQnJydQFMVIOxUVFSEjIwMKCgoYMGBAnZ/J+e/g4GCEhYUBqCEITk5OCA0NxePHjxstMfLp0ycyOVZXV5O03eLFizFkyBAMHz4cFy9exKVLl5Cbm4vLly/jwIEDDImdxqZxAN6E9Ffj8+fPv8Wu/tq1a1BWViad7jTBunv3LiQkJNC5c2dGBPjdu3dITU2Fu7s7tm3bVi8pvHLlCnJzc1FZWYnAwED0798fb9++xeDBg8HHxweKokj0nxc4f4fbt29DX18feXl5OHbsGEaPHs3QvKO7EAcPHozo6GiGI0lTXB6AGkHh7OxsLlImJycHiqIQERFBrqu+aOOWLVuIpyu9eRIXF4eGhgZYLBYhiXfu3EFeXh4+f/4MOzs7MiaHDh2CuLg4TExMGAK+DeH58+eIiorC+vXrkZqail69ehFi3aVLl3qP/RlODT/T5YJGUVER1NTUYG5uzki537lzB9euXftpYwfU3EtxcXHQ09NjyDABQFxcHHx9fclG4MaNG7C0tISNjQ3x0649Bm1oGG3ErgHs2bMHMjIyUFVVhYmJCaKjo8lNuHv3blAUhfDwcHTq1AmSkpJcJKa5x/9u+NMcMjjBOXnUjniMHz8eAgICDHJXUFCA8ePHY+/evaisrMSyZcsgKSmJCxcu4OnTpzh69CicnJygqalJyN379+8xb948BAYG1kt46L/Fx8ejV69epOMsKysLHTp0+CGJETrSV11djbi4ONjb2xP9KWdnZygqKkJOTg7a2tro0KFDkyfTughpY1Hf5zWWHLbkAsDrmoqKikgqnPOaPnz4AGtra4iIiDAWLKAmBVVUVMQghXTU7cuXL1yksLCwELa2tti9ezdSU1Ph7OyMsLAw7Nq1q1Fd5wsXLsTo0aMxYcIE8hoviZHaY8kZlWqsywMtKDxv3jwGKdPR0UFMTAy2bt0KiqIYkbu6oo3fv39HXl4eg9jevn0bFhYWEBISAovFwsCBA8nxhw4dgr29PXn2zpw5A3d3dwwZMoR0j9aFlStXwsbGhoznrl27oKGhgRcvXuDhw4dYunQppKSkQFEUF1nhxM90amiOywUv3L59GzY2NrCysuKy7GrO2PHC69evMWzYMDg6OmLWrFkAapoIKYpi1McCNWvK69evGbWcbWga2ohdHWCz2SgtLUXXrl2xceNGvHnzBkuXLoWLiwtCQ0PJw7R+/XoEBQWhT58+jBB6c4//3fCnOmTQ4Jz8lixZgoiICERHR2PNmjVkYhk/fjyRlti8eTNCQkIQGBhIjqejG5y4c+cOLC0tYWRkRHbonIKl9RGRoqIiuLm54fbt282WGNm9ezeMjIxIKqS6uhrDhg2Dra0tEhISUFJSgqqqKhQWFqKsrIxcV1OjbXUR0obAOQ5r167F+PHjkZiYiKtXrxLZld+pkYjzegsLC1FRUUEWxVmzZkFdXZ2Rvi8tLUVcXBwuXLgAKSkpsrhxojYp3L9/PwICAuDi4gItLS0ICwvDz88PBQUFkJCQQEpKChHttrS0JP7F9aGkpAR9+vQBPz8/VwqeJnf8/PykCYIGZ2qxPpcHgLegMC9SBtSkofX19bmijfRn8RK0LiwshI2NDWkOyM3NhaysLLS1tRkbyb1790JdXZ10TU+YMAEJCQkNir1XVVXh4sWLcHd3h7GxMaZMmYKPHz9i9uzZaN++PYmOnT9/HnFxcQzi8aucGprjclEbtaViLCwsGOQO+PGxqw+FhYVISEiAm5sb+vTpA0lJSXLP1DXftEXqfgxtxK4W6Bvr48eP+PLlCzp37kwKiysrK7FhwwY4OzszyNm3b9+45Bx+9PjfHX+iQwbnZDJ9+nRISEhg6NChcHd3h4WFBQIDA8mivWzZMlI/5+XlxeVNamlpyXX+hQsXgqIoGBgYkIaG+qQbOMGZmmmOxMjJkyfRtWtXuLm5keJkOi1rb2+PtLQ0rt/uRydVTkLaVIwZMwYKCgqIjo6Gvb09HB0dsWzZMlJT9DuRO6Cm+cTR0RHm5uZYunQp3rx5gw8fPmDEiBGQlZXF4MGDkZaWhvbt28Pa2pqkyQYNGgSgblI4fvx4SEtLIyUlBYGBgaQ2TUJCArNnzyY2S7q6ulBUVKwzMs5rvO7evYu4uDgICAhwSWq8f/8eQ4YMgaurK8/zNcblgW4k+PLlC1dZCR1tpEnZp0+fEBUVxTPauH//fgQGBhIbPHpjVFhYCHFxcaSkpODDhw9ISUmBoaEhTE1NGQTlypUr8Pb2homJCZycnCApKcmzEaq++3zWrFkIDg6Grq4uZsyYgfDwcGzYsKHeRomf4dTws10u6js3L3LX2LFrKl6/fo3ExEQoKSkxIvpt9XM/F23Ejgf27dsHMzMzdOjQATo6OoxGBpqcubu7w8vLi6tI+Gcc/7vgT3PIaAh37txBWFgYWXTYbDZ27doFe3t7dOvWjUzeBQUFePPmDVdTwZEjR2Bubo5FixYxJvp9+/YhJiYGXl5eaN++fbN0/BojMRIbG8tTYuT8+fPo3r07nJ2dSRF0dXU1EhISoKmpyaiZbC541Qo1hJUrV0JLS4tIfBw8eJB0fC5cuJCcszV38ZyfnZ2dDXl5eaxZswZ9+vSBjY0NYmNjUVhYiO/fv2P9+vWwsLCAp6cnunTpQn4TX19fTJw4kYsUFhYWElIoISEBa2trQgpVVVVha2sLTU1NIv1w9+5d5OTk1Ck3wXmtVVVVjHuBlhiRkZHhkhipy6GiMS4PtKBwfaSMjjbSpIxXtDEvL48Q2+DgYBgZGWHEiBFErHbFihXg4+ODrKwsFBQUcO3aNUJQLC0tybx68uRJLFiwAGPHjuVZt8c5Rvv378fChQuxZcsWxqbk9u3bmD59OgQFBUFRFGxtbfH161eeY/6znRp+hssFLxw5cgSzZs0iG/UfGbsfxZs3b5CYmAhnZ2fMmTOn0dfchsajjdj9f3AKM0pKSmLSpEkYOnQotLS0YGdnx1iMKysrkZWVBT8/P67Ovx89/nfDn+qQUReysrKI9Rmnr2JpaSmys7NhZWWFK1euMGQe9u7di4yMDEIEv3z5gtjYWHh6emL69On48uULXr16hU6dOiE5ORnbtm2DhoZGs3e+jZUY2bJlC7F2o3Hu3Dl0794dDg4OpLaluroa8+fPb/FdM+f3qKqqwty5c7FgwQIANaljGRkZLF68GD169ICKigoWL15c54La0rh06RKSkpKwc+dO8tqyZcvg5OSEQYMGEdcFOo0M1IxzcnIyVFRUMHv2bAYptLa2RmxsLA4dOoQ1a9agU6dOUFJSYpDCRYsWQUJCAo6Ojnj48GG9CyEnYUlPT0e3bt0QHh7OUOynJUbatWvHU2KEl7xGYwSFJSQkIC0tjTFjxtRJynhFGzk/59ChQxg7diz596JFi2Bra4ukpCQyZ9KlERMmTOAiKBYWFg1umjk/b8yYMVBRUYGXlxdMTEwQHByMffv2Md5/4cIFBAQE8NR05IXmOjX8LJcLXqDldNLS0n5o7JqLwsJCJCYmwtXVlVHr2YafgzZix4Hc3FwcPnyYyFFUVFTg+PHjsLKygouLC+NBrKys5JLwaO7xvxv+NIeM+vDw4UPY2NjwlDZ58+YNJCUlGY0TY8eOhZiYGKysrEBRFIYNG4aPHz/iw4cPGD58OExMTCAiIgIDAwOYmpoC+D+5hp8hrNmQxMiDBw/g4OCAjh074vLly4xjT548CQ0NDdjb22PPnj2Mv7VGSoSOBjx9+hSFhYV48uQJiXwCNer+MjIy0NPTw+bNm1v8+mrj5MmT0NPTg6KiItf4LV++HC4uLoiJiWH8ztevX8eoUaOgrq6OdevW8SSFBgYG4Ofnh46ODiiKgomJCSM9mZycDCkpKairqyMlJYVY0tWHlJQUqKqqIjk5GdOmTYOoqCijUeHhw4dE0JjTnQGoO4LCS1CYfm9JSQk2b97cICmrHW2kj8/NzcXGjRsxfvx4LtuoRYsWwdraGsOHDydzTUZGBiiKwpw5cxgExcbGBhoaGjxr9AAm8V28eDE0NTWJldr8+fMhLCwMV1dXrg7QoqIiRn3sz3Rq+NkuFw3hR8fuZ6GwsBCRkZGIiYlpi9b9ZLQRu/+Pr1+/wsLCgquIt7KyEsePH4e1tTU8PDwYO/Cfefzvhj/JIaM2ak9+NJl58uQJbGxs4O7uzqg9ev/+PUxMTIjO161bt+Dp6Ym8vDxUVVUREc/BgwejpKQElZWVePv2LdavX4+jR4+S8w8fPhxOTk5EoqC54Bzz1atXc0mMbN++HR07dkRwcDDXou3v7w8DAwOiO9hav9+ePXvg5+fH6ILLycmBmZkZcSk5deoUevfujRkzZrRKGpbX2EyZMgVKSkqIjIwkkVIaGRkZ0NfXx+zZs8lrpaWl+Pvvv7F161YSqeIkDe/evUP79u2hp6eHqKgoTJs2Da6urujZsyf27dtHSOG1a9ewYsUKBnmoC9u3b4eBgQGJ2u7btw/CwsJcEiN37tzBrFmzeDYB1OfyQAsK05HfppKy2ti9ezeEhYVhaGgIiqJgampKiC19PTNmzIC2tjaD2NIOH3PmzCHz682bN+Hq6srldDNy5EiGdtunT58waNAgLF++nIyRjIwMkpOT4enpCRsbG4b2Gg1OUveznRp+hssFJ+jr5NXM1pSx+xV4//79DzdqtaFu/E8Tu9qphhs3bsDHxwd6enqMxbeqqgonTpyAlpYW/P39f9rxvzP+qw4ZDYGTGGzbtg3Tp0/H+PHjCfF5/PgxrKysYGlpiTFjxmDdunUIDQ2FkZERqqqqMGvWLPTt2xf9+/dnRLf27t0LKSkpxMXFkTQcjdzcXCQlJdWpKN8csNlsMiEHBwcjKCiI4Tixf/9++Pj4ICQkhKTJP3z4gP79+2Pbtm0tPpnWJmZ5eXmQkZEhCytQIy1hZGSEbdu24fnz5+jUqRMRTQVaNqrI+VlsNpvRDJCamgpLS0tMnDiRiIzT2L17N9F8qz3G/fr1Y5DCa9euwd7eHm5ubpg0aRIhhXSDTJcuXbBu3bomyUyw2WysWrWKdNgePHgQsrKyWL58OU+JERqc5KAulwcanILCqampdZIyGkuXLoW2tjbGjBmDiooKxti+e/cOSUlJWLNmDUpLS7Fy5Uq4uroyOr8fPHgAPj4+9OvXj4vYLliwAPz8/Fi2bBn5jWqnOgsKCqCoqAgbGxtGNOrevXt4+fIl7t69C11dXSxevBhAjWKBuLg4jI2NGZIcv9Kp4We4XHBqVtKgx47uQm3q2P1qtHW//lz8TxM7oO4iUisrK0aqtLKyEqdPn+baxTT3+N8Ff5JDRmMwevRoaGlpoXPnzujbty8oiiJpvidPnsDe3h4URaFHjx6MGpBFixaBoigYGxtz7bz37duHdu3aoU+fPoxx2b17N3r37v1DXaL1gZ6k6d+O9hE1MjJCaGgo+bxDhw6hY8eOMDY2RlJSEjw9PeHi4sJzAWgpPHnyhCwiGRkZkJGRwYULFwDUFO/7+/tDU1OTNA00pMn1q7FkyRJ069YNHh4eGDVqFOnSnTRpEmxsbDBx4kSuRZuzYYEmhceOHYOKigqSk5NhYWGBiRMnEgInKSmJW7duEVII1DTI+Pj4oGPHjvWauNfV7PD48WMUFxfDzs6OFKo/fPgQysrKoCgKkydP5nk+Xi4PcnJyDJcH4P+cEyIjIwkpW7VqFYk21o7OrVixAps2bWK8xkls7927R849b948GBoawsfHh5DEYcOGQVxcnETPaRQXF0NNTQ0URRFixgt37tyBtbU1T+22zMxMeHh4ENK3detWBAYGYs6cOaiurv4lTg0/y+WCBj12T58+RVZWFqNburlj14b/Dv7niV19RaS1tX1+xfG/A/4kh4y6wPl99uzZA1VVVRKlo7svOeu3nj17Bmtra4SHh+PkyZOM6OzGjRtBURQmTpxIyC+NrVu3wt/fn4ss/eyi/yNHjoCiKIwePRrA/+26U1JSsHLlSlhbW8PIyAg5OTkAgIsXL2Ls2LHw8PBA//79W1XRfenSpZCTk0NKSgqpWYqIiMCgQYMIIf78+TNOnDiBnJwcQnJaUhIoOzubpErHjh0LFRUVzJgxAzt27CCm5PQYTpw4Efb29khMTOQp98NJCjkjurSI9MSJE7F161Y4OzvD1taW1BzS3zszMxMhISGN6n6ldQg5cf36dRgaGpLmhadPnyIqKgrnz5+vM/pZ2+WBFhSeMGECI9p37do12NnZEVJGgyar4eHhjMgdTWzfvn1LPnvPnj2E2NIR7Vu3bsHQ0BB2dnawsrJiENsxY8ZAUFCQQVA+fvyIpKQkLFy4kNG9z2uM7ty5A3Nzc675ecWKFTA2NsaZM2dQWVmJ0NBQzJgxA2w2u8WcGprjckF/R3rsunTpQp5/Gj8ydm347+F/ntgB9ReRampqNlhE2tzjfwf8aQ4ZnNi4cSPS0tLIv5ctW4aoqCgAwM6dOyEhIUEEWT9+/IinT5+iuroa+fn5sLS0hK+vL7Zu3co4J91IMmXKlDq1+zjrcH423r9/j4yMDMjLy2PEiBFYvHgxNm7cyHgPHaXjjCRxLvotRZQ4SXFVVRVWrVoFRUVFODo6QlNTE6dOnUJaWhocHR1Jh3FttGT6deXKlaAoCgcOHMDdu3dhZGRE9BrPnj0LYWFhrgab+Ph4REVFgc1m8ySFnTt3xvr16wkpvH//PsTFxeHp6UlI4ZYtW9CxY0e4urpypTFpzcv6MGnSJNjb28PExARZWVmkUeHJkycQEhJCSkoKbt68iY4dOyIoKKheZX9egsLHjh2DkpIStLW1icsDJymrLbC+bt06rmhjYWEhSSlyZi9ycnIIsc3JyYGsrCzGjh2LV69e8SS2o0aNgoCAABYtWoTTp09jypQpsLGxaXCzSX9nXpvv8+fPw9PTE5qamtDV1YWZmRlDC/JXOTX8LJcLoKYGj3Psz4erVAAAPcNJREFUeOFHx64N/x38TxG75haR/s5FqD+KP80hgxNsNhuVlZWwsbFBeno6eX3GjBkICwvDzp07ISkpSdJNALBhwwbSBAHUFFsLCQlBREQEvXr1Ql5eHrkPVqxYQeqLOOvafjXoNGBxcTEyMjKgqqoKAQEBkprl1HvT0NAgIqicJLM1Upr0Ivj48WMEBAQgIyMDq1atgqenJyZPngxJSUl4enq2qljpqlWrICAgQKQuTp48CRsbGwA1mx9OYdiPHz8SsWegZkx5kcJ9+/YR+y0hISGsXr0ar1+/xuTJkyEnJwcXFxdCCv/66y/4+/sTmYvGYuPGjVBVVcW6devQt29fmJqaYtiwYSRKl56eDlFRUejr68PR0ZGR2m7I5YEWFC4sLMSjR48QFRWF9PR0QkQ4SVltvTOalKWlpTGiY//++y/ExcUxdepU8tr+/fvh6+sLOTk59O3bl3GeoqIivHjxgnH+GTNmQFpaGjo6OqSxpD7MnDkTkydPrle77cKFC9iyZQvS09MJqeOUqvrZTg3Ncbmoje/fvyM8PJzhQENff3PHrg3/LfxPELvmFpH+l4pQG4s/3SGDRmlpKbS1tUm3KFCTxrS0tISIiAgWLlxIXv/y5QtCQkKQkJAANpuNiRMnQllZGTNnzsTu3buhoqKCwMBAHDp0iIwfvZBznv9X4tSpU1BQUCAdyUVFRVixYgXk5eURGRlJ3kcvRqGhoTyL5FsamzZtgp2dHdnkHD58GCIiIsjPz8fNmzeRlpZGrKU4GylaElu2bOGKily9ehVmZmaYPXs2pKSkGBZOZ8+ehZeXF6llrI8ULlq0CHx8fFBXV8fnz5/x8eNHbNy4EbNmzYKUlBTpImWz2Thw4ACcnZ3RsWPHOsWsa6fQ165dy+haXbRoEWxsbBgSI8+fPydajAAzUlefoLCwsDCGDx9OBIWNjIwgJibGRcrqijY+fvyYK43JSWw5RWpp/UI9PT1CbI8cOYLhw4dDSkqK+BhzyozcuXOnUbW+aWlpdZbNcJI7TtANMJxojlPDz3a54ERFRQXc3d0Z9+/PGrs2/LfwxxO75haR/slFqH+KQ0Z9KC0thbm5OVcR85AhQ6CqqoqZM2fi9u3buHjxIgICAmBtbY3KykqcOHECpqamZAd+8eJFiIiIQF1dHfb29jh69CiZpPfu3dtihPfff/+Fo6MjdHV1SdqHthQTFRVFYmIigP8j7lZWVqRWqiXBqfVVXV2NQ4cOwd/fH+3atcPs2bPx4sULLF++HN27d8f79+/BZrNx/fp1DBgwoFU2D5mZmYR4WVtbk+jGmzdvEBYWBhEREYaNVllZGTp16oTw8HBUV1c3ihROmjQJlpaWsLS0xJEjR+Dl5YVTp05xkTughvjWlcLjJBrr1q3DzJkz0adPH670ME3uhg8fzhVJ4yQY9bk8FBUVQUZGBiwWC9ra2lBUVMTRo0d5krL6oo280piFhYXku9PeuZ8+fYK6ujoUFRXh5uaG6dOnw8jICN26dcOSJUuwZs0a6OvrM0R6eaEuApWens6zbMba2hrKysp1piN/hlPDz3a5qI1Pnz7B2NgYMTExuH//PmbNmvVDY9eG/z7+aGLX3CLSP7EI9U9zyOCFv//+G9OnTwdQs+PW0dHBmTNnADBrzOLi4uDg4ACKouDk5AQ/Pz9UVFSguroaly9fJim3Y8eOoV27dtiwYQM+fPgAWVlZdOzYEbt27WIssi1FSJ4+fQovLy9oaGgQcvf+/Xukp6dDREQE7du3R0REBHr06AEDA4MWJ0qcC1hta7G5c+eiQ4cORMQ3OjqaS/MLaNlGCTrqevDgQVRWVsLR0ZEhDnzw4EHY2dmhffv2WLRoEVasWAFfX18iDNsQKRQWFiak8Pbt27CwsICUlBTCwsJQXV1NCI6cnBwmTZpU77Vyjm1KSgqkpKRga2sLQUFB2NjYcBGKJUuWQE1NjYg902iKy8Pt27dhYmICXV1dcn5epAxAvdHGO3fuEGJbH7k7ceIE+Pn5oa6uDklJSWRmZpKUckVFBfz9/dG/f/96x4kGr3mYV9nMjRs3EBkZWWcZQHOdGn61ywWNEydOQEBAAFpaWs0euzb8d/HHErvmFpH+yUWotEMGTX5qO2TULrD/3R0yOFFWVobY2FhYWlpi4cKF+PTpE9TU1Oosyv/+/Ts2btyIFStW4MSJEygqKkJlZSW+f/+ON2/eoLS0FAEBAZgyZQrYbDaqq6vh7OwMISGhVk1xPnnyhCe5y8jIIHUz//zzT4t3lNZW9A8NDYWPjw+io6PJ6//88w/mzJkDcXFxIh3TGjV/bDYbr169gp2dHfbu3UteLy4uhqOjI4yMjMiiePjwYQwdOhRKSkrw8/MjkcX6SCGbzeYihenp6XB2doawsDAhBDS5mzhxIjQ1NVFcXMxzPGqXhMTGxuLKlSsAaiJ3Hh4eDN03Gtu3b+fS4wOaJijcWFJGjxVntJHzu9y+fbvO83AS24KCAly5coXLQ7a6uhrdu3fHxIkTeWoEcs5dJ06cAEVRXPIqwP9pcS5fvpzUrNKoi9y1tstFY/GjY9eGPwd/JLFrbhHpn1yE+qc5ZPDCq1evMGzYMDg7O2PkyJEwNDTE1KlTMX/+fKSlpWHJkiVYsGAB0tLS4OfnByUlJejp6UFHRwfJycmMCfrjx4+wt7cntVXl5eWIiYlBbm5uqxb5A7zJXVFREebPn4+QkBAycbfGdY4dOxZKSkpYsGABduzYAQEBAQQEBDAW0bt378LT0xOurq6tKlBKL4CcCx1N7jhlQgCQYniaFNra2vIkhfRxFy9exKBBg+Dg4IB27doRUnjjxg2uaM/bt295upLUtlHbsWMHtLS04OTkxFi8161bBy8vL3Tv3p2rzg1g3gf1uTzQWLp0KbS0tIjLw61btxpFymjURU7pqGXt8zREbMvLyzFx4kSoqqry/H5Hjx7FvHnzCNkFaqSaREVFucbwwYMHpNO0djf5z2qS+5kuF81FQ2PXhj8LfySxa24R6Z9WhPonO2TUhdevXyM+Ph5mZmagKAr6+vqwtbWFkZERDAwMYGBgAHV1dbBYLGzcuBHFxcWYPHkydHR0GBHX4uJiWFlZITAwEPPnzyfCo/Rk+7uQOy0tLULuPn78+EM7/Z+Fu3fvwtzcnNQn5uTkkLRQbXz48KHVrrWhiAVN0mp7tnIez4sUFhUVwdHRESoqKpCTk4OnpycCAgLAx8eH7du3k/fduHGjwWjP+vXrCfGlx2fbtm3w9fWFlJQUg3QCNeSuQ4cO8PHxQUFBAc+xre3ywEtQmLPzm3Z5aAopo4+/ePEi5s+fj6lTpzI8i3nVqNVFbIGart+kpCQoKSnx3DxnZ2dDTU0NQ4YM4fJGpstmOMnd06dPMX78eOzYsYNE335mk9zPcrn4GWho7Nrw5+GPJHbNLSL9E4tQ/xSHjKagsLAQSUlJcHNzY7hHVFRUYPXq1YwOxqqqKrx58wb29vZIS0vD1KlTiYDxnTt3YGtrCxcXFwQEBLSIuC+vc9dFRJ48eQJvb28ICQkxrK1aK9Vy9uxZGBoaAqgpqOeUCPn8+TNX0xHw+1oKFRcXw8XFBXJycoQ4A7zV/jlJ/uHDhyEgIABlZWXk5+ejoKAAfHx8EBERQWZmJmOT5ebmVufz9u7dO3Je2pkDqCHLLi4ucHR05Eq9ZmRkID4+HtXV1VwlCLVdHmhwCgrT5/tRUlbbQ7UuYttYw/kHDx6gffv26NKlC08JmK1bt0JMTAzbt2+vs2xk1KhR4OPjw9SpU7Fjxw6EhIQgJCSE/HaPHj366U1yzXG5+FloaOza8GfijyR2QPOLSP+0ItQ/wSHjR/D69WskJCTAwcGB1AF9//4dtra2UFRURElJCVmIgoKCoKSkBC8vL5KuPn78OIAaQvL58+d6RV1/Fjgn9pUrV/KMGtRGfn4+4uPjWzyCyIs8Pnr0CB4eHpg2bRokJSWJ+DMAXL58GUFBQbh+/XoLXmXz8O7dOwwaNKjesb179y7mzZuH8vJylJaWIiMjA6NGjYKLiwtkZGSgpqaGoUOHYsKECRAQEGCk/3hJIo0YMYJBUs6fPw+Kohi1cH/99VedEiNsNrtBlwdegsIdOnRAx44dkZ6e3mhSRl8n5/hcvHgRioqKWLVqFQBwEVsaDRFbGm/fvuUp0vz27Vt4enpySeR8+fIFeXl5uHjxInlt7ty5UFdXh5GREaPc5Gc3yTXX5QL4uZmAusauDX8u/lhiBzS/iPRPK0L9ExwyfgSFhYVITEyEq6sridw9e/YMZmZmcHV1xcePHxEeHg4zMzM8fPgQlZWVRFbE1dUVX79+5Rmh+RXg/Jzk5GRoaWlh+vTpRK2/9nt4oaXIXe1xoK/r5cuX8PX1JRZnNEpLSxEUFISuXbu2SoTuZzyndY1tYGAghgwZQv59//59/PPPP3j27BlUVFQwaNAgVFdX499//4WEhAQoikJ2djbPc/FK47169QrTp09Hu3btuCRGOnbsCA8PDy6S8fr16wZdHugoDqd9mZubG+Tl5ZtEyngRW85GCE1NzSYR28bi7du3MDExYdQ5ZmRkIDw8HBRFQVVVFe7u7uS3f/bsGV69ekXuv9u3b/+yJrnmuFy0oQ3NwR9N7HihuUWk/4Ui1D/RIaO5KCwsRGRkJGJiYsj4FBQUwNDQEPz8/DAxMWGk2gAgMjISwcHBrXG5WLJkCeTl5XH16tVW+fymIC0tDZGRkejZsyeJaufl5UFfXx/+/v6YPHkyVqxYAW9vbyIRArRs+pXzs75+/crlFNLQYtrQ3728vDBx4kSu1x89egRbW1tcuHABVVVVKCgoQFRUFGbNmlVvaoxO4zWmC/XAgQOws7PD4MGDAdQIJTfG5YGO9uXk5DBI2YIFC5pMyuoitt++fUP79u0RExPTaGLbFLx9+xZqamoYNGgQTpw4gW7dusHc3BxxcXE4duwYdu7cCV1dXaSmpgJg/o5fv379ZU1yP+py8V8TgG/D74n/KWLX3CLS37UIlV60/kSHjJ+J9+/fkzHiJHfOzs6wtLRkRMXKy8vh6+vbKnWUpaWl6NevH0m7PXz4EJs3b4a7uzs6d+6M3NzcFr+mujB37lwoKCiQzk8pKSkcOXIEQI2cxpAhQ6Cnp4eOHTti4MCBrbKAcT4XM2fOhJ+fHxQVFTFhwgTGWNZF3mqTwtoRfDabjY4dO5JoFuf7L126BIqicPjwYXz58gWTJk2Cm5sbl8QGLzQkMTJ79mzy3nPnzqG6upqnWX1dLg+0oLCsrCx69epFXv8RUtYYYgug0cS2Kfj7778hLS0NXV1dWFlZEdkiACgpKYG1tTWmTJnCddyvbJL7UZeLNrThZ+B/htg1t4j0dy1CpReRP9kh42ejdqSooKAARkZGcHR0JFHOoKAgmJubt0h6hNe5IyIioKWlhQ0bNsDDwwP+/v4YOXIkzMzM4OXl9cuupSHUHrspU6aQLr6ysjIMGDAAEhISpFaJzWbj27dvjEWrtaISEyZMgKKiIlasWIHNmzdDT08PoaGhjC7E2r9FXaQwISEBI0aMIH+zsbEhzg+1zzF48GBQFAUzMzNIS0s3uClsjO7b7NmzISsrS3yAOa+3sS4PQE20T1JSErq6ulyCwnWRshkzZnDNgb+C2DYF7969I927nCgpKYGHhwejzpPGz2qS+9kuF21oQ3PxP0PsgOYXkf5uRaj0hPInOmS0NAoKCmBsbAxXV1e0b98eRkZGZKFrqZ30xo0bkZGRAaAmahIaGgoVFRXMmDGDdCXu3r0bPj4+rdLswrmAnTx5Evv27UNoaChOnz5NXmez2YiKioKkpCSOHj3KdY7Wqh/KycmBkZERKabPzc0FPz8/DAwM4OfnR6RZ6gInKdy4cSNkZGQgISGB2NhYAICFhQWysrLqPH7//v3YvHkzT/IBcJMDzih8XRIj48aNg5+fH88637qifTNmzOAid3Z2duTfjSVlz58/x5IlS8h7fyax/Vl49+4dgoOD4eTkVOcz/DOb5H6Wy0Ub2tBc/E8Ruz8Rf7JDRnNR1066vmYZbW1t6OnpEVLXUtGlkpISUvPEqbdVW77Ez88Pffr0aZFrqgvJyckQFRWFsbExKIrC7NmzGfcSm83GwIEDQVEU8vLyWuUaa//GV69eJbZaOTk5kJWVxfr163H58mWIi4vztHWiwYsU8vHxQUZGBlJSUujXrx9cXFywYMEC7Nq1Czt37sShQ4ewZ88ebNu2DVlZWQypktrgvE+zs7MxfPhwDBw4kHEMrwJ82mOX8/s2Jto3ZswYiImJkTq6ppKyqqoqpKSkwMjICPPnzwdQQ2zpZgteaIjY/kwUFRVh9uzZCA4OhoODQ4MbtN/R5aINbWgO2ojdfxh/skNGc8G5WJ45cwaXLl1imG3XRe44pSF+Janj9fn5+fno1asXPDw8GIbunz59wr59++Dn5wdLS0uyULVU9Itz8Tl37hw8PDxw+vRp/Pvvvxg6dChERESwefNmxqLFZrMxc+bMVkm7cv72dIS9tLQURUVF+PLlC/z8/LgiVkpKSiSt2VhSSGvVSUtLg6IoSElJQU9PD3JycmjXrh0UFBSgqqoKVVXVOss3OD8rJSUF6urq6NmzJyIiIsDHx8eItNeVxqurM59XtK+qqgoJCQmQk5ODjIwMiouLf4iUvXz5EsOGDYODgwOmTJnSLGL7s3H9+nWEhIRg2LBhP1zT2VIuF21ow69AG7H7D+NPc8j4FRg9ejTk5OSgrq4OHR0drF+/nvytPmLUUjvpf//9l/HvR48eoUePHvDy8iLXeuvWLQwfPhw9e/Zs0eYDWqCZxqpVqxATE0O6L2nExcVBVFQUmzZtQmlpKdd5WqtRYsaMGYiIiGB0e79//x6mpqaEyHz8+BFRUVHYs2cPw92B/htQPym0tLSEqKgoVFVVkZCQQL5rUVERIV+0DVltcI5VdnY2NDQ0SMo9JycHFEVBSEiIITFy/fp1rjReU10eXr58iZiYGNjY2DSLlBUWFiI+Ph52dnY/TGx/FTgdTZr6LP9Kl4u2rtc2tATaiN1/GH+iQ0ZzwUnW7t27ByMjI1y+fBmnTp3ChAkTQFEUIzrRmppRGzduhJubGw4cOMB4/cGDB0QaZOfOnQCYhuAtsTjExcVh2LBhjNdiYmJAURTs7e250lZDhgyBhIQEsrKyfosO6zFjxkBFRQWrV69mlCi8ePECTk5OiIyMRHp6OgICAuDq6go2m43q6mpCAppCClevXo34+Hg4ODgwuk7ri6xu3LgRaWlpAGrEdNPS0sh56YaGrKwsTJgwAcLCwjwjPVVVVT/s8vCzSBnt7uLk5NRkYtsSaOrz/StdLmi0kbs2/Gq0Ebv/OP40h4yfhQULFiApKQljx44lr5WUlGDy5MmgKIqR6mwpcle75u/8+fNwc3NDaGgoDh06xPjbsWPHIC0tDRMTExw8eLDFr/X69euEmHBGFSdNmgRFRUXMmzePy9ezd+/e8Pb2bpHrqw8HDhyAsrIyI0326dMnklI7deoUHB0dYWlpCT8/Py4C9iOkkPYmdnNzw+TJk+u8NjabjcrKStjY2CA9PZ28/uDBAzx9+hRPnz6FmZkZaUy4ePEiKIoCRVEkqgj8HJeHn0XKON1dGktsf2f8CpeL2h3HbWjDr0QbsfsD8Kc5ZDQXHz58wIABAyAoKMjVaFBSUoIpU6aAn5+/RaVeOEndvn378OLFCwA1FlteXl4IDg5mELijR4+iW7dumDZtWou7NHCShnXr1sHT05NxbSNGjIC2tjYWLVrERe5aw1Gi9meuW7cOHh4eAGrIzLRp06Cnpwc1NTUMHDgQFRUVKC4uZtjJ0aSmOaSwsLAQAwYMgK+vb51m9kBNClZbWxtr1qzh+tvp06dhY2NDyNf169cxfPhwbNy4kVzjz3R5+FmkjD5PQ8T2v4zmuly0Rera0FJoI3Z/KP4LDhk/C7wWnwcPHiAxMRF8fHxc3Y4lJSUYMWIEibb8asLLef5x48ZBTU0NS5YsIc0G//zzD9q3b4/AwECkp6fj+fPn6NSpE0NUtTUI04cPH3D16lU4OztzSekMHz4cOjo6WLJkCd69e8c4rjWuFQAZz6NHj4KiKPTs2RMqKiqIiIjA6tWrkZGRAXl5edy8eZNxrZzX2xxSCABv3rxhCF3zQmlpKczNzUkKnvP+OHToECiKwpEjR/Do0SOEhISgR48e5O+VlZU/3eXhZ5GyxhLb/yqa43LRWs9EG/430Ubs/kD8rg4ZvwKcE2ZFRQVjkX306BEGDx4MKSkp/PXXX4zjPn/+zFMi4lciNTUVCgoKyMvLI/IT9GffvHkTERERkJeXh5aWFuzt7Vs8lbVr1y6cOXMGQE2dUEREBICalLG7uztCQ0MZ5G7kyJEQERFh1HK1FjZs2AATExMiD7Njxw4MHDgQGzduJM1C79+/h42NDSNlRuNHSCHQ+AX777//xvTp0wHURER1dHTIWNcu7qdrGWknhdppvF/h8vCzSFljiO1/GT/qctGGNrQk2ojdH4bf1SHjV4BzUV22bBk6d+6Mzp07M6IOjx49QlxcHGRkZLiaFICWI03FxcXw9vYm8hWvXr3CuXPnEB0djfXr1+Pz58/4+PEj7ty5g7///rtFJFc4UVpaioiICEJqxMXFcf36dfL3usjdkiVLfgstrr1798LZ2Rnu7u4kgkh3nVZWVuLr168ICAiAu7s7FxlrLilsCGVlZYiNjYWlpSUWLlyIT58+QU1NDSdOnKjzmIsXL+LkyZM89RR/lcvDn07KfhZ+xOWiDW1oSVAAwGrDH4V3796xhIWFWdLS0q19KS2CsWPHsjZs2MCKiopiSUpKsmbMmMHq27cva+XKlSwWi8X6999/WYsWLWKtWLGCde7cOZabm9svvyYALIqiyL/fvn3LsrKyYiUkJLC8vLxYGRkZrMePH7PYbDbr6dOnrNTUVFZCQgLjHNXV1Sx+fv5ffq002Gw2S09Pj/Xy5UtWVlYWKyoqilVZWckSEBBgURTFunDhAmvcuHEseXl5VmRkJKtLly6tcq1sNpvFx8fHeA0A6+jRo6wZM2aw2Gw2a//+/Sx5eXnWt2/fWFlZWax9+/axvn37xrp06RJLUFCQcY59+/ax5s6dyxIQEGDt2bOHpaCgwCorK2OJiIiwqqqqWOXl5azw8HDW169fWWfOnOH67Mbg9evXrLS0NFZeXh7L1dWVdfDgQVafPn1YEhISLDabzRIWFmax2WxWWVkZ6+3bt6y+ffuy7O3tWSwWi/X06VPWgQMHWElJSSwWi8WytbVlxcfHswYOHMh1n8XFxbGysrJYpqamrJcvX7JOnTrFsrGx+dGhbkMjUVRUxIqKimIVFxezLly40KLPbRvawIVWpZVtaEMzsXPnThgaGpJIyr59+yAiIgI+Pj6Eh4eT992/fx/z5s1r8QLmnTt34tmzZwBqoltSUlKQlJREcnIy8Sjt2bMnoqKiWvS6aHBGfD59+oTQ0FAEBgZCVFQUp06dAlATLaLfd/78eRgZGWHMmDEtfq21o6t79uzhEkU+dOgQ3Nzc4O7ujvfv3wOokQJJSUkh36P2PcBms3H48GG4ubnBxcWFpNa+fv2KhQsXwtPTE3Z2diR69qP1UnTnrJmZGSiKgr6+PmxtbWFkZAQDAwMYGBjAysoKXl5e5Bp/d5eH/3U01eWiDW1oCbQRuzb8p8C5uLPZbGRnZ2Pu3LkAgIMHD0JWVhbp6enYs2cPKIoiXp6caClyd+vWLVhaWiIkJITIZjx8+JDhCMJms+Hj49MqnYScBOXIkSO4c+cOKisrUVpaigEDBjDIHY1v377hyZMnrbJw0WPIZrNx/fp16Ovro0uXLgyh38rKSmzbtg1ycnIICAggadnaMiE/Qgrp8zcHtMSIm5sbJkyYQF6vqKjgqvmkr/V3dnn4X8fPcLloQxt+NtqIXRv+k6B1psrLy/H48WOUlJTA3t4es2fPBgA8fvwY6urqoCiqxaJLvOr1srOz4e3tjc6dO+P58+fk9S9fvuDChQsICQmBhYVFiy8GnNc6duxY6OjoYPPmzUS3rKioCP3794e4uDiOHj2Kr1+/olu3bgz7upYkd9evXwdFUdi9ezeAGoKZlZUFZ2dnhIeHM8jdp0+fYGVlBQkJCQwaNAhA80ghjZ/1fTklRjhdLDibJGrfS7+zy8P/OprjctGGNvwKtBG7NvznkJmZicTEREaq6datWzAwMCDRsIKCAgwYMAAXL15s8cmW0xwc+D8tuLCwMEIwjh07hqCgIPj7+7dq+mb69OlQUlLCmTNnuOzAvn//jujoaFAUBSsrKxgaGraa0OqbN28wePBgCAkJEXL3/ft3rF69Gg4ODujevTt5b3FxMSIjI5GTk4Pq6upmk8JfgcLCQiQmJsLV1ZURuWvomN/Z5eF/Hf8rOqFt+P3RRuza8J9Damoq9PT0MH78eBIFe/HiBcTFxZGYmIirV6/C398fAQEBLb6TXrduHSIiIrgW2LVr18LKygrdu3cnNVx5eXmtJl5aVVWFd+/ewdnZmQjl0p26w4YNw7x588i17d+/Hxs2bGjxTt3aePPmDZKSkogLA/B/5M7Ozo64OXh6esLf359c/6tXr36YFP5KFBYWIjIyEjExMU0WAv5TXB7a0IY2/Hy0Ebs2/Naoa3GdP38+jIyMMHbsWDx9+hQAsGbNGkhJScHAwADOzs4tvtix2WxMmjQJDg4OiI+P57IlosmFl5cXI83XUuKle/bsIdp0AAixmzFjBnbu3IlevXrB1dUV9vb2MDExwejRo7nO0ZJRxRcvXnBpqhUWFiIhIYERgSstLcXx/9fevcflfP//A39cHa3SWj6UEllWW8uwqGHEZ8xhTMUaWm6NNKb0NZHKDaEorVnlrDSHjE90WBF9ZjRLibaRU80cttLKWulA6rpevz98ev8K7UBdHTzu/9h1eL/fL5fdbtfjer3er+czLU2MHz9eDBw4UNjb2z+y0eFJQ2FL/31///136Vrs8kBEzYHBjtqF7OzsR1qmhYSECAsLC+Hj4yPVICssLBTff/+9UmbCHhfIamtrxdq1a8Ubb7wh5s6dK0pLS6XXIiIixKhRo4Svr2+rVKI/cODAIxtKPD09xYABA4S6urpYsmSJtFli2rRpYsGCBUofY724uDihp6cnLC0txWeffSbV/xPiwX2V9SEtLi6u0XElJSVCoVCIX3755ZGabE8aCpXhn16ro3d5IKInx2BHbV5aWprQ1dUVYWFh0m7FeqtWrRKamprCz89P5OfnN3qtJb+YGwbGw4cPi5SUFKmTQG1trVizZo0YPHiwmD17tigoKBDV1dXCyclJREZGSjMzyg53crlcfPXVV6Jz585ixowZ0vPnzp1rtFNXCCH+/e9/Cx8fH6WOr15NTY34+OOPhY6OjujWrZsYPny46Nmzp7CyshKOjo4iLS1NHDt2TPj5+QkVFRWpbEy9pw2FQrSPnY0sKExEj8NgR+2Cp6en6NOnj1i/fn2jcFdVVSV69Ogh9PX1pWr8LcnR0VGEh4dLj729vaUdihoaGlLplbq6OhEWFibeeOMNoa2tLfr16ydefvllKTC01r1QcrlcJCYmPhLuhHiwceDHH38U48aNa5Wdug0VFRUJLy8v8e677wpfX19RXFwstmzZIhwcHETv3r2FkZGRGDZsmFBVVRUymUycOXNGCPH0oVAI3qdGRO2bWmsXSCZq6HFdBQAgPDwcXl5eWL9+PQBgxowZeOGFF1BcXAwHBwdYWlrCzc2tRcd27949mJqaYsGCBdDR0cG4ceNw9OhRHD9+HM899xy++eYbeHp6oqKiAqtWrYKXlxdGjRqFkydPQiaTwc3NDWpqakrvKNGQiooKJkyYgN27d+ODDz6AqqoqoqOjAQCpqamIjIyEjo4Ozp4926pjNTAwwOLFixEUFIS0tDQYGxtj3rx5cHd3x+XLl1FUVISYmBjU1tbi9u3b6NevHwBAQ0MDy5Ytg7q6Oq5du4ZXX30VcXFxiI+PR2pqKtzd3VFTUwMzMzPIZDKMGTMG2dnZsLa2lq7dsJMDEVF7w5Zi1GY83OYpPz8fXbt2xYABA6Qvbi8vLxw+fBijR4/GkCFDEBsbC01NTRw8eBBAy7a2qqyshLa2NlatWoUVK1Zg/vz5kMvliIiIkN4THR0Nd3d3+Pv7IyAg4JFztGaoa0ihUCA5ORkffPAB3nvvPURFRQEATpw4gWHDhkFFRQV1dXVQU2vd3363bt1CUFAQTp8+jUmTJsHPz096TfyvnVb9nw3HW1hYiKCgIGRlZcHV1RXz5s0DgEah8MqVK7h9+zYuXbrU6n9PIqJm07oThkQPNFz+Wrx4sTA0NBSjR48WlpaWYuzYseLLL7+UXg8KChJvvvmmMDMzE6NHj1bK7tc9e/aI999/X8jlcnHnzh2xevVqoaamJkaMGPHIe6Ojo4Wmpqb45JNPWmw8f9effSZyuVwkJSWJF154QUycOPGR19qK+k0Ptra2jUp8NFwqftx463eP2tjYiMDAwEavPdzloT3cU0dE9Hcw2FGra/ilHB4eLnr27CkyMzOFEA/6q2pqagpbW1uxc+dO6X2//fabKCgoaPHdr/Vf/O+++674+OOPpefLy8vF2rVrhUwmE1u2bHnkuIiICDFs2DCl3q+lUCiaLM/R1DjkcrnYt2+fGD16dJsKcw97koK+9cc9SSgkImqvHr2ZiUhJ5s+fj9u3b0NFRQUKhQKVlZW4dOkSFi5cCFtbWyQkJGD58uVYsGABtLW1sW7dOuzfvx8A0K1bNxgZGUnHttRSmvjfnQoVFRXo3Lmz9Lyuri48PDywYsUKzJkzR7pPrZ6HhwdOnDghLRW2tJs3b0Imk0nLvFu3boWHhweCg4ORm5vb5DhUVFTw3nvv4ejRo9Jn2RYZGhrCz88PZmZmKC4u/tufqaGhIfz9/WFjY4OkpCQsXboUABr9//K4ezqJiNqt1s2V9KwqKCgQPXv2FJaWlo12uebl5Ylff/1VXLp0SZiZmYnPPvtMCCHEvn37hI6OjjA3NxcpKSlKH+/bb78tli9fLoRoPNtTVVUlAgIChIqKioiOjn7kOGXM2K1evVr07t1bnD9/XgjxoPfrv/71L/H222+LAQMGiNdee00qxdLed3w+SUFfIZ6sywMRUXvEn6rUKoyMjHD06FHo6Ohg6NChKC0tBQCYmprC2NgYJ0+ehIGBAWbOnAngwayKnZ0dZs2ahbFjx7b4+OLj4+Hi4iI9rqiogJ6enjQW8b8ZIy0tLXh7e2P58uWYNWsWkpOTG51HGTss+/bti1dffRWzZ89Geno6KioqkJqaiiNHjmDTpk2wsrKCq6urUmcQW4q+vr40s/hPPltDQ0OsX78emzdvbvefARHRn2GwI6WrX+6zsLDAzp07oaWlJYU7dXV1AA8C0e+//47s7Gzcv38fu3btgo2NDRYtWgQVFRXI5fIWHaMQAnv27MHs2bMBAGVlZdDQ0ADwINg1DBVaWlrw9PRETEyMUkLnw959913Mnz8fXbt2haenJzIzM9GjRw8AgK2tLRYuXIjBgwdj5syZSE9P7xDB5kmWT580FBIRtScsd0Ktpr68yZUrV+Ds7Izq6mqcPHkS+vr6OH36NHx8fHD16lWoqalBW1sbOTk5UFdXl8pbtPTYDh06hGnTpmHy5Mn45ZdfIIRA3759cefOHWhra0NTUxNlZWUoKSnBhx9+CAcHBwBQapmQhp9FamoqNmzYgP/+97/Izs6GlZWV9L7vv/8eYWFhOHDgADIyMtC/f3+ljI+IiJSLwY5aRVBQEMrLyxEQEIBOnTpJ4a6yshLfffcdunTpguzsbNy4cQOlpaWYOXMm1NTUlBqaFAoFUlJSMG/ePPz6669wcHCAXC5HWVkZnnvuOWhoaEAul6Nz587YtWuXUmuhNRVu09LSEBgYiIqKCsTExKBv377Sa1lZWUhNTcXSpUvbRC09IiJqfgx21CoiIyMxf/58rFy5Et7e3o3CXVVVFb777jvo6+s3OqY1ivvW1tYiLS0Nbm5uGDdunFTI93GUNb6GhZwvXrwIFRUVqKqq4qWXXgIAHD58GBs2bEBJSQmioqIazdwpe6xERKRcDHbU4ppqExYdHQ03NzcsX74cPj4+6NSpE/Ly8uDi4oL8/Hxcv34durq6rTDixurq6qRl2SlTpuCLL74AANy/f1+6704Zy8MPX2fZsmVISkpCUVERLCws4ODggP/7v/8DABw6dAgbN25EaWkpNmzYgAEDBrT42IiIqPVx8wS1uPpQd+7cuUbPz5w5E9u2bUNAQABCQkJw9+5dmJubIzo6Gg4ODtDW1lbqOJv6jaOmpoYJEybgyy+/xFdffQVHR0cAkEIdoLz+ovXXCQgIwObNmxEaGopjx47B1NQUn3zyCQIDAwEA48ePx7x58yCEwMaNG5UyNiIiagOUWlyFnlnp6elCJpOJ7du3P/JaeHi4UFNTE2FhYaKysrLRa011Unha7a1LQ8MxnT17VtjY2Ijjx48LIYRITU0VnTt3Fg4ODkJbW7tRh4WMjAx2ViAieoZwKZZahHjM0uTSpUvx6aefYuPGjfjwww+l5/Pz82Fra4uysjJs375dql3XUm7evImePXtKj7du3Ypz587BxMQE77zzDqysrJpcWm34fFNLzM2t4XUuX74MMzMzhIaGwsvLC5mZmXB2dkZAQACcnJwwZcoUHDt2DIsXL8batWsfew4iIuq4lLeNj54ZDUNEbW2tVJtu9erVEELA3d0dAKRw16lTJ8ydOxeDBg3ChAkTWnRsgYGBiIqKQlJSEqysrODr64vt27fj9ddfR0ZGBmJjYxEREYHhw4c/Ntw1fKyMoCSEkK7j5+eHjIwMJCUlYeHChdDQ0MCXX34JJycnuLq6QkNDAxYWFqipqUFubq60tCyTyRjqiIieEQx21KwaBpHw8HBkZ2dDQ0MDQ4cOxYwZM6R7wGbNmoX8/HxYWVlh7969kMvl0mstWdKkYZeG4OBgqUuDtbU1srKyEB4eDldXV+zYsQN2dnZK2xTRlPprnzlzBidPnkRISIi0oeT+/fvIycmBtbU1NDQ0UF1djeLiYsybNw9Tp04F0PR9g0RE1DFxKZaaTcMQtHr1agQHB2PGjBk4d+4cysvL0aNHDyQmJkJdXR2RkZFYt24dtLW10a1bN6SlpUkzey0tLS0NERERuHHjBtTV1ZGSkgIDAwMAQE5ODj799FNkZmZix44dTc7cKdOmTZuQkZGBe/fuYe/evVBTU5NmRUNCQhAeHo7Ro0cjPz8f1dXVyM7OhqqqaquPm4iIlI/rM9Rs6kPEhQsXcObMGSQmJmLDhg1IT0/H8uXLUVJSgmnTpqGurg4eHh7IyMjAN998g2PHjkFdXR11dXUtOr763zCjR4/Gxx9/jJ49e+LChQsoKSmR3vP666/D29sbQ4YMwdixY/HDDz+0ejj67bffsHfvXpw5cwbXr18H8P+XgSdPngwPDw8UFhbC3NwcWVlZUFVVhVwub/VxExGR8nHGjprVtm3bsHHjRsjlchw8eBB9+vQBAGm26fPPP0dUVBSsra2VthGhqZmrttiloanPISIiAitWrICbmxs8PT2lXrCPo8zuHERE1LZwxo6alZ2dHWQyGXJzc3HixAnp+U6dOmH8+PH4+eefcf78eQDK2YjQsOH7xYsXcfnyZeTn5wN4MHPn4+OD7t27w83NDbm5udJxtra2WL58uTT7pQwNQ92JEydw6NAhxMXFAQA8PT2xZMkS7NmzB1FRUSgsLGx0XD0hBEMdEdEzjN8A9MQenl2Sy+UwNzfHgQMHMHnyZMTExKBHjx4YM2YMAEBdXR09evSApqamUsbXcCNHU10axo0bJxXxdXd3f2yXBmXN2NWPdcmSJYiPj4empiZqa2uxZs0apKSkYNGiRRBCIDIyEioqKnB1dYWJiUmjfwMuvxIRPdsY7OiJNAx1+/btQ35+Pu7evQt7e3sMGjQIcXFxcHR0xOLFi3Hs2DFYWlri4MGDUCgUcHJyUsoYH+7SEBsbCyMjIwQHB+OTTz5BVVUV/P39MX78eMhkMqxcuRIbN27Etm3blDK+x9mwYQOioqKknbpbt27FnDlzcP78eRgaGmLx4sUQQmDp0qUwNjZu8Zp/RETUziipEDJ1UN7e3qJXr17C3t5eODs7C5lMJvbs2SOEEOLnn38WAwcOFDKZTDg5OQl/f3/puJbqKCFE++7SMH/+fBEWFiaEECIuLk48//zzYsuWLUIIIcrLy6X37dy5s0U/QyIiap94jx39I/fu3ZP+Oz4+HrGxsfjPf/6D+Ph4TJs2rdF7e/fujbi4OPTr1w8KhQJvvfWW9Joy7qm7fPky+vbtK80iHjt2DK6urggNDUV0dDTeeOMN+Pr6YsmSJQCAwYMHQ0VFpdE9a8qkUCiQk5ODmpoaaaxr1qyBu7s7FAoFIiMjsXnzZgCAi4uLUu//IyKi9oHBjv623bt3IyIiQnpcUFCAMWPGSEuvU6dOxebNmzF9+nSUl5fj+vXr6NWrF/bv34+8vDyEhITgyJEjAFrmXjDxUJeGOXPm4O7du1i4cCG0tLQadWnQ09ODhYUFhg4dKnVpEP/bIK6sjhIN/6y/7qRJk5CUlISJEyciNDQUc+fOBQCUlZUhIyMDZWVljc6jzB27RETU9jHY0V8SQqCurg5hYWHQ1taWni8vL0dpaSni4uIwc+ZMhISESO3CkpKSEBwcjD/++AMvvfQSEhIScOHCBWzduhXV1dUtMs6HuzSsXbsWurq60NDQkLo03Lt375EuDcnJyUrddNBwVrG4uBh37tyRZkLt7OxQXl6OV155BRYWFgCAa9euwcXFBSUlJfD29lbaOImIqP3h5gn6SzKZDHV1dfjjjz/QqVMn6fmBAwdi//79cHFxQVBQkDS7VFlZif3798PU1BR6enoQQqB3795IT0+HQqGAlpZWi421vkuDgYEBBg4cCOBBkNLQ0ICTkxPCw8Px4YcfSl0a3nvvPQBN17prbg03naxduxaJiYmoqalBly5dEBMTg0GDBmHjxo1YtGgRPvroI1RVVcHIyAiqqqo4efIk1NTUIJfLOVNHRESPxWBHf5uOjg66desmPR4zZgwSExNx+/Zt3L17F7m5uaioqMDKlStRVFSE+Ph4yGQyCCGgUChgamra4mOs79JgYmKC69evo0+fPo26NCgUCnzzzTcwNzfHli1bpPvUlF3SxN/fH9u3b8e6deugr68Pf39/DB8+HCkpKbCzs0NsbCwKCwuRm5sLCwsLjBgxAqqqqiw+TEREf4qdJ6hJX3/9NU6dOoWlS5dCLpfjpZdeQkxMDIYPH46amhqpHt3cuXNx9uxZnDlzBjY2NtDV1UVKSgrU1dVbNDS11y4NX3/9NRYvXoz169dj2LBh+Oqrr+Di4oIuXbqgsrIS6enp0jJsQ5ypIyKiv8Kf/vRYNTU12L9/PzIzM6GtrY1Zs2bh/v37Uj/XhkWGN23ahLt37+LChQvo2rWrVDS3JUPTw10aqqqqUF1djSlTpsDT0xP37t3D559/Di0tLcyePRtGRkaPHCeU0KXh4evJZDJoaGjA3t4ew4YNw5EjRzBr1iwEBQVh1KhRGDlyJCZNmoSDBw/C0tKy0bkY6oiI6K9wxo6aVFhYiJCQEGRlZWHIkCFITk7G9OnToaOjA4VCAU1NTdTV1UEul6OwsBBTp06Fra0tgJbt/drQw10atLS0kJKSAkNDQ4SEhCAyMhKzZ8+WujQoW21tLerq6lBaWgoDAwMpSBYUFMDQ0BATJ05E//79ERQUhOrqarzzzjvIysrCiBEjcOjQIaWPl4iI2jfO2FGTjIyM4OPjg8DAQBw5cgT5+fnYvXs3dHV1UVVVJdV709LSgp6eHtatWycdq4xQ19a7NBw9ehQJCQlITk5GRUUFhg4dCnt7e7i5ucHY2BgFBQW4cuUKPvroIwAPQmC3bt1w/PhxaeMHERHRP8EZO/pLRUVFWLNmDc6ePYsRI0Zg9erVAB4EETU1NWmDhEwmU+p9YF5eXjA1NcWCBQtw4MABzJo1Syq5cufOHejq6gIAdu3ahenTpyt1KTM6OhrLli3D+++/DwMDA+jp6SEiIgK///47XF1dERQUBAAYMWIEioqK4Ofnh6ioKNTV1eHbb7+VCiUrIyATEVHHwWBHf8utW7cQFBSErKwsODg4wNfXF8CDcKeurg5AeSVDgAdLvXZ2dnjnnXdgY2ODSZMmISQkBHPnzoVCocDatWuhr6+POXPmSMcoK3Ru2bIF8+fPxxdffIHJkydLn09+fj4CAwORmpqKRYsWYeHChcjJycGSJUtQUlICY2NjxMfHQ11dnaGOiIieCIMd/W1FRUUICgrC2bNnMXLkSGnmrqXVB8aHg2NoaCgOHjyIH3/8EWFhYdKSZmlpKWbMmIE333xTahemLAkJCXB0dERiYiImTpwobSCpD5VXr16Fm5sbKisrkZycDAMDAwAPPlsDAwOpZiBLmhAR0ZPglAD9bYaGhvDz84OZmRmKi4uhjN8E7alLQ01NDY4cOYIXX3wRN27cAIBGoU4IATMzM/j6+iInJwd5eXnSsYaGhpDJZFAoFAx1RET0xDhjR/9YaWkp9PT0oKKi0qLLr3/VpcHY2BgnTpzAokWLUF5e3qhLQ3p6eovX0XucW7duITg4GJmZmXBwcICPj4/0d5HJZJDJZMjLy0O/fv2QkJCAMWPGKG1sRETU8THY0RNT1n1gj+vSUFlZiZSUFLz88sv46aef2lSXhqKiIgQGBiI7O7tRuKsfz4EDB/DZZ59JHTKIiIiaC4MdtWnttUtDU+GuoqICU6dORffu3bFt2zalbTYhIqJnA++xozajvi4eAOn+vaa6NBw+fBhqamqYNGkSLl68+Mi5WrtLg6GhIfz9/TFo0CDEx8cjNDQUAODi4oKCggJs3rxZ2hBCRETUXDhjR21GR+zS0HAn8U8//QQ9PT3k5ua2yv1/RETU8XHGjtqEo0ePwsvLCxYWFrCysoK9vT22b98OADA2NkZRURGuXLkitSxr2KUhOTm5NYf+p+p3Evfp0wfW1tZSqKurq2OoIyKiZscZO2p1z0KXhj/++APPP/88VFRUWKeOiIhaDIMdtapnrUtDexorERG1Pwx21GrYpYGIiKh5ceqAWgW7NBARETU/fitSq9DU1MSyZcugqamJ3bt3o6qqCj4+PlBVVW3URszU1BQaGhqorq5+5Bxc0iQiImqM34zUarp3744lS5ZItd6Cg4MBPAhscrkcAHD+/HlYW1vD0tKyNYdKRETULjDYUat6uJBvfbhTU1NDRUUFoqOj8fLLL6NHjx6tPFIiIqK2j5snqE1o2IJrypQp8Pb2hr29Pa5fv44zZ85ATU0NQgi24CIiIvoTDHbUZrBLAxER0dNhsKM2paioCD4+PigpKUFiYqLUpYG7X4mIiP4agx21OezSQERE9GQY7KjNYpcGIiKif4bBjoiIiKiD4HQIERERUQfBYEdERETUQTDYEREREXUQDHZEREREHQSDHREREVEHwWBHRERE1EEw2BERPYXjx49DJpOhrKysWc63YsUK9O/fv1nORUTPHtaxI6IOw9XVFV988QUAQE1NDSYmJnB0dERAQAC0tbVb5Jr3799HaWkpDAwMIJPJnvp8lZWVqKmpQZcuXZphdET0rGGvJiLqUMaOHYsdO3agtrYW3377Ldzc3FBVVYVNmzY1el9tbS3U1dWf+noaGhowNDR86vPU09HRgY6OTrOdj4ieLVyKJaIORVNTE4aGhjAxMcH06dPh7OyMhIQEaYkzOjoaL774IjQ1NSGEwM2bNzFp0iTo6OhAV1cXTk5O+O233wAAV65cgUwmw+XLlxtdIywsDKamphBCPLIUGxMTAz09PRw5cgSvvPIKdHR0MHbsWNy6dUs6/vjx47CxsYG2tjb09PQwdOhQ3LhxAwCXYono6TDYEVGH9txzz6G2thYA8NNPP2H//v04cOAAfvjhBwCAvb09SktLceLECaSlpeHq1at4//33AQAWFhawtrbGnj17Gp0zNjYW06dPb3Lptbq6GqGhodi1axfS09Nx8+ZNeHt7AwDq6upgb28POzs7nDt3DqdOnYK7u3uzLOMSEXEplog6rNOnTyM2NhZvvfUWgAf3w+3atQtdu3YFAKSlpeHcuXO4du0aTExMAAC7du3Cq6++iuzsbAwaNAjOzs6IjIzEqlWrAAB5eXk4e/Ysdu7c2eR1a2trsXnzZpiZmQEAPDw8sHLlSgDAnTt3UF5ejgkTJkivv/LKKy3zARDRM4czdkTUoSQnJ0NHRwedOnXC4MGDMXz4cERERAAAevXqJYU6ALh06RJMTEykUAcAlpaW0NPTw6VLlwAAU6dOxY0bN5CZmQkA2LNnD/r37w9LS8smx6ClpSWFNgDo3r07iouLAQD6+vpwdXXFmDFjMHHiRHz++eeNlmmJiJ4Ggx0RdSgjR47EDz/8gCtXruDevXs4ePAgunXrBgCP7IwVQjx2CbTh8927d8fIkSMRGxsLANi7dy8++OCDPx3Dw5syZDIZGhYg2LFjB06dOoUhQ4Zg3759MDc3l4IjEdHTYLAjog5FW1sbffr0Qa9evf5y16ulpSVu3ryJX375RXru4sWLKC8vb7Q86uzsjH379uHUqVO4evUqpk6d+tTjHDBgAHx9fZGRkQErKyspOBIRPQ0GOyJ6Zo0aNQqvvfYanJ2dkZOTg9OnT2PGjBmws7PDwIEDpfc5Ojrizp07mDt3LkaOHAljY+Mnvua1a9fg6+uLU6dO4caNGzh69Cjy8vJ4nx0RNQsGOyJ6ZslkMiQkJOCFF17A8OHDMWrUKLz44ovYt29fo/fp6upi4sSJ+PHHH+Hs7PxU19TS0sLly5cxefJkmJubw93dHR4eHvjoo4+e6rxERAA7TxARERF1GJyxIyIiIuogGOyIiIiIOggGOyIiIqIOgsGOiIiIqINgsCMiIiLqIBjsiIiIiDoIBjsiIiKiDoLBjoiIiKiDYLAjIiIi6iAY7IiIiIg6CAY7IiIiog6CwY6IiIiog/h/B+hAM9EQaAcAAAAASUVORK5CYII=",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"\n",
"# Baca data dari file CSV\n",
"data = pd.read_csv('D:/file yuni/data23.csv')\n",
"\n",
"# Pilih kolom yang ingin diplot (misalnya, POP10)\n",
"kolom_target = 'POP10'\n",
"\n",
"# Susun bar chart\n",
"plt.bar(data['PROVINCE'], data[kolom_target])\n",
"plt.xlabel('Provinsi')\n",
"plt.ylabel('Jumlah Penduduk (Juta Orang)')\n",
"plt.title('Perbandingan Jumlah Penduduk Awal 2024 (POP10) di Indonesia')\n",
"plt.xticks(rotation=45) # Memutar label sumbu X untuk kemudahan pembacaan\n",
"plt.grid(axis='y', linestyle='--', alpha=0.7) # Menambahkan garis grid pada sumbu Y\n",
"plt.tight_layout() # Menyesuaikan tata letak grafik\n",
"\n",
"# Tampilkan bar chart\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1c8d99bd",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.5"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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