Created
June 1, 2019 12:31
-
-
Save AseiSugiyama/4ae28b3b66a961fab51a733973829e93 to your computer and use it in GitHub Desktop.
ParseNominalOriginalSeries.ipynb
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| { | |
| "nbformat": 4, | |
| "nbformat_minor": 0, | |
| "metadata": { | |
| "colab": { | |
| "name": "ParseNominalOriginalSeries.ipynb", | |
| "version": "0.3.2", | |
| "provenance": [], | |
| "include_colab_link": true | |
| }, | |
| "kernelspec": { | |
| "name": "python3", | |
| "display_name": "Python 3" | |
| } | |
| }, | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "view-in-github", | |
| "colab_type": "text" | |
| }, | |
| "source": [ | |
| "<a href=\"https://colab.research.google.com/gist/AseiSugiyama/4ae28b3b66a961fab51a733973829e93/parsenominaloriginalseries.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "_HUPZLlh-QY5", | |
| "colab_type": "text" | |
| }, | |
| "source": [ | |
| "# 国内総生産（支出側）及び各需要項目の読み込み\n", | |
| "\n", | |
| "[統計表一覧（2019年1-3月期1次速報値） - 内閣府](https://www.esri.cao.go.jp/jp/sna/data/data_list/sokuhou/files/2019/qe191/gdemenuja.html) から、\n", | |
| "[名目原系列（CSV形式：28KB）](https://www.esri.cao.go.jp/jp/sna/data/data_list/sokuhou/files/2019/qe191/tables/gaku-mg1911.csv)を読み込んで基礎統計を確認する。\n", | |
| "\n", | |
| "\n", | |
| "## データの取得" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "kBIq318Lhi9g", | |
| "colab_type": "code", | |
| "outputId": "639eeb8b-7eb8-487c-cc76-85924d951f02", | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 204 | |
| } | |
| }, | |
| "source": [ | |
| "!wget https://www.esri.cao.go.jp/jp/sna/data/data_list/sokuhou/files/2019/qe191/tables/gaku-mg1911.csv" | |
| ], | |
| "execution_count": 0, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "--2019-06-01 12:16:36-- https://www.esri.cao.go.jp/jp/sna/data/data_list/sokuhou/files/2019/qe191/tables/gaku-mg1911.csv\n", | |
| "Resolving www.esri.cao.go.jp (www.esri.cao.go.jp)... 210.149.141.43, 2001:240:1b0:1::43\n", | |
| "Connecting to www.esri.cao.go.jp (www.esri.cao.go.jp)|210.149.141.43|:443... connected.\n", | |
| "HTTP request sent, awaiting response... 200 OK\n", | |
| "Length: 28471 (28K) [text/csv]\n", | |
| "Saving to: ‘gaku-mg1911.csv.1’\n", | |
| "\n", | |
| "gaku-mg1911.csv.1 100%[===================>] 27.80K 89.1KB/s in 0.3s \n", | |
| "\n", | |
| "2019-06-01 12:16:37 (89.1 KB/s) - ‘gaku-mg1911.csv.1’ saved [28471/28471]\n", | |
| "\n" | |
| ], | |
| "name": "stdout" | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "RuV6YJKi-qrr", | |
| "colab_type": "text" | |
| }, | |
| "source": [ | |
| "## 必要なライブラリの取得\n", | |
| "\n", | |
| "今回は[pandas](https://pandas.pydata.org/)と[pandas-profiling/pandas-profiling](https://github.com/pandas-profiling/pandas-profiling)を用いる。" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "ORJ0rUrmuio0", | |
| "colab_type": "code", | |
| "outputId": "b3d26f13-4ea1-467f-819b-7cad4967edb9", | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 238 | |
| } | |
| }, | |
| "source": [ | |
| "!pip install pandas-profiling" | |
| ], | |
| "execution_count": 0, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Requirement already satisfied: pandas-profiling in /usr/local/lib/python3.6/dist-packages (1.4.1)\n", | |
| "Requirement already satisfied: pandas>=0.19 in /usr/local/lib/python3.6/dist-packages (from pandas-profiling) (0.24.2)\n", | |
| "Requirement already satisfied: six>=1.9 in /usr/local/lib/python3.6/dist-packages (from pandas-profiling) (1.12.0)\n", | |
| "Requirement already satisfied: jinja2>=2.8 in /usr/local/lib/python3.6/dist-packages (from pandas-profiling) (2.10.1)\n", | |
| "Requirement already satisfied: matplotlib>=1.4 in /usr/local/lib/python3.6/dist-packages (from pandas-profiling) (3.0.3)\n", | |
| "Requirement already satisfied: python-dateutil>=2.5.0 in /usr/local/lib/python3.6/dist-packages (from pandas>=0.19->pandas-profiling) (2.5.3)\n", | |
| "Requirement already satisfied: numpy>=1.12.0 in /usr/local/lib/python3.6/dist-packages (from pandas>=0.19->pandas-profiling) (1.16.4)\n", | |
| "Requirement already satisfied: pytz>=2011k in /usr/local/lib/python3.6/dist-packages (from pandas>=0.19->pandas-profiling) (2018.9)\n", | |
| "Requirement already satisfied: MarkupSafe>=0.23 in /usr/local/lib/python3.6/dist-packages (from jinja2>=2.8->pandas-profiling) (1.1.1)\n", | |
| "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib>=1.4->pandas-profiling) (2.4.0)\n", | |
| "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.6/dist-packages (from matplotlib>=1.4->pandas-profiling) (0.10.0)\n", | |
| "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib>=1.4->pandas-profiling) (1.1.0)\n", | |
| "Requirement already satisfied: setuptools in /usr/local/lib/python3.6/dist-packages (from kiwisolver>=1.0.1->matplotlib>=1.4->pandas-profiling) (41.0.1)\n" | |
| ], | |
| "name": "stdout" | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "-BJ4Jlygwg4A", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "source": [ | |
| "import pandas as pd\n", | |
| "import pandas_profiling as pdp" | |
| ], | |
| "execution_count": 0, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "9ZIjWELc_JIQ", | |
| "colab_type": "text" | |
| }, | |
| "source": [ | |
| "## CSVファイルのパース\n", | |
| "\n", | |
| "Human ReadableなCSVであり、Machine ReadableなCSVではないので次の内容でパースする。\n", | |
| "\n", | |
| "* 1-7行目は使わない\n", | |
| "* 空の列は読み捨てる\n", | |
| "* 列名は適当につけ直す\n", | |
| "* indexには集計期間を用いる\n", | |
| "* 1000桁ごとの区切り文字は \".\" とする\n", | |
| "* すべてのデータはfloatとして扱う" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "1hvri3HBw8re", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "source": [ | |
| "def parse_normal_original_series(filename):\n", | |
| " raw_data = pd.read_csv(filename, \n", | |
| " index_col=0, \n", | |
| " skiprows=[0, 1, 2, 3, 4, 5, 6], \n", | |
| " header=None, thousands=\",\").dropna(how=\"all\", axis=1)\n", | |
| " col_names = [\"GDP(Expenditure Approach)\",\n", | |
| " \"PrivateConsumption\",\n", | |
| " \"Consumption ofHouseholds\",\n", | |
| " \"ExcludingImputed Rent\",\n", | |
| " \"PrivateResidentialInvestment\",\n", | |
| " \"Private Non-Resi.Investment\",\n", | |
| " \"Changein PrivateInventories\",\n", | |
| " \"GovernmentConsumption\",\n", | |
| " \"PublicInvestment\",\n", | |
| " \"Changein PublicInventories\",\n", | |
| " \"Goods & Services (Net Exports)\",\n", | |
| " \"Goods & Services (Exports)\",\n", | |
| " \"Goods & Services (Imports)\",\n", | |
| " \"Income from /to the Rest of the World (Net)\",\n", | |
| " \"Income from /to the Rest of the World (Receipt)\",\n", | |
| " \"Income from /to the Rest of the World (Payment)\",\n", | |
| " \"GNI\",\n", | |
| " \"DomesticDemand\",\n", | |
| " \"PrivateDemand\",\n", | |
| " \"PublicDemand\",\n", | |
| " \"Gross Fixed CapitalFormation\",\n", | |
| " \"Final Sales of Domestic Product\"]\n", | |
| " raw_names = raw_data.columns\n", | |
| " df = raw_data.rename(dict(zip(raw_names, col_names)), axis=1).astype(\"float64\")\n", | |
| " df.columns.names = [\"Nominal, Original Series\"]\n", | |
| " df.index.names = [\"period\"]\n", | |
| " return df" | |
| ], | |
| "execution_count": 0, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "9NKiGLcYySYT", | |
| "colab_type": "code", | |
| "outputId": "dac8e37e-caf0-4a29-b634-eb305c1a1128", | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 391 | |
| } | |
| }, | |
| "source": [ | |
| "normal_original_series = parse_normal_original_series(\"gaku-mg1911.csv\")\n", | |
| "normal_original_series.head()" | |
| ], | |
| "execution_count": 0, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "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>Nominal, Original Series</th>\n", | |
| " <th>GDP(Expenditure Approach)</th>\n", | |
| " <th>PrivateConsumption</th>\n", | |
| " <th>Consumption ofHouseholds</th>\n", | |
| " <th>ExcludingImputed Rent</th>\n", | |
| " <th>PrivateResidentialInvestment</th>\n", | |
| " <th>Private Non-Resi.Investment</th>\n", | |
| " <th>Changein PrivateInventories</th>\n", | |
| " <th>GovernmentConsumption</th>\n", | |
| " <th>PublicInvestment</th>\n", | |
| " <th>Changein PublicInventories</th>\n", | |
| " <th>Goods & Services (Net Exports)</th>\n", | |
| " <th>Goods & Services (Exports)</th>\n", | |
| " <th>Goods & Services (Imports)</th>\n", | |
| " <th>Income from /to the Rest of the World (Net)</th>\n", | |
| " <th>Income from /to the Rest of the World (Receipt)</th>\n", | |
| " <th>Income from /to the Rest of the World (Payment)</th>\n", | |
| " <th>GNI</th>\n", | |
| " <th>DomesticDemand</th>\n", | |
| " <th>PrivateDemand</th>\n", | |
| " <th>PublicDemand</th>\n", | |
| " <th>Gross Fixed CapitalFormation</th>\n", | |
| " <th>Final Sales of Domestic Product</th>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>period</th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " <th></th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>1994/ 1- 3.</th>\n", | |
| " <td>120994.4</td>\n", | |
| " <td>65027.4</td>\n", | |
| " <td>64414.0</td>\n", | |
| " <td>55816.1</td>\n", | |
| " <td>5984.4</td>\n", | |
| " <td>20312.5</td>\n", | |
| " <td>-2480.9</td>\n", | |
| " <td>17358.4</td>\n", | |
| " <td>12191.5</td>\n", | |
| " <td>-113.7</td>\n", | |
| " <td>2714.8</td>\n", | |
| " <td>11249.3</td>\n", | |
| " <td>8534.5</td>\n", | |
| " <td>1222.1</td>\n", | |
| " <td>4342.5</td>\n", | |
| " <td>3120.4</td>\n", | |
| " <td>122216.5</td>\n", | |
| " <td>118279.6</td>\n", | |
| " <td>88843.5</td>\n", | |
| " <td>29436.2</td>\n", | |
| " <td>38488.4</td>\n", | |
| " <td>123588.9</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>4- 6.</th>\n", | |
| " <td>122715.4</td>\n", | |
| " <td>65857.9</td>\n", | |
| " <td>64592.1</td>\n", | |
| " <td>55891.3</td>\n", | |
| " <td>6320.7</td>\n", | |
| " <td>17545.6</td>\n", | |
| " <td>820.6</td>\n", | |
| " <td>20182.0</td>\n", | |
| " <td>9672.2</td>\n", | |
| " <td>31.8</td>\n", | |
| " <td>2284.6</td>\n", | |
| " <td>10981.7</td>\n", | |
| " <td>8697.1</td>\n", | |
| " <td>1210.9</td>\n", | |
| " <td>3872.8</td>\n", | |
| " <td>2661.9</td>\n", | |
| " <td>123926.3</td>\n", | |
| " <td>120430.8</td>\n", | |
| " <td>90544.7</td>\n", | |
| " <td>29886.0</td>\n", | |
| " <td>33538.5</td>\n", | |
| " <td>121862.9</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>7- 9.</th>\n", | |
| " <td>123398.9</td>\n", | |
| " <td>67964.3</td>\n", | |
| " <td>66824.0</td>\n", | |
| " <td>58010.2</td>\n", | |
| " <td>7386.7</td>\n", | |
| " <td>18933.2</td>\n", | |
| " <td>-430.3</td>\n", | |
| " <td>16696.6</td>\n", | |
| " <td>10588.9</td>\n", | |
| " <td>114.1</td>\n", | |
| " <td>2145.5</td>\n", | |
| " <td>11235.3</td>\n", | |
| " <td>9089.8</td>\n", | |
| " <td>921.8</td>\n", | |
| " <td>3959.1</td>\n", | |
| " <td>3037.3</td>\n", | |
| " <td>124320.8</td>\n", | |
| " <td>121253.5</td>\n", | |
| " <td>93853.9</td>\n", | |
| " <td>27399.5</td>\n", | |
| " <td>36908.8</td>\n", | |
| " <td>123715.2</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>10-12.</th>\n", | |
| " <td>134429.0</td>\n", | |
| " <td>69592.0</td>\n", | |
| " <td>67955.7</td>\n", | |
| " <td>59021.7</td>\n", | |
| " <td>6956.1</td>\n", | |
| " <td>18746.3</td>\n", | |
| " <td>1902.1</td>\n", | |
| " <td>21137.1</td>\n", | |
| " <td>13371.5</td>\n", | |
| " <td>325.1</td>\n", | |
| " <td>2398.6</td>\n", | |
| " <td>11690.6</td>\n", | |
| " <td>9292.0</td>\n", | |
| " <td>900.6</td>\n", | |
| " <td>3799.0</td>\n", | |
| " <td>2898.4</td>\n", | |
| " <td>135329.6</td>\n", | |
| " <td>132030.4</td>\n", | |
| " <td>97196.6</td>\n", | |
| " <td>34833.8</td>\n", | |
| " <td>39074.0</td>\n", | |
| " <td>132201.7</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>1995/ 1- 3.</th>\n", | |
| " <td>122207.9</td>\n", | |
| " <td>66561.9</td>\n", | |
| " <td>65914.3</td>\n", | |
| " <td>56909.7</td>\n", | |
| " <td>6275.5</td>\n", | |
| " <td>20836.2</td>\n", | |
| " <td>-2881.2</td>\n", | |
| " <td>18337.4</td>\n", | |
| " <td>11246.8</td>\n", | |
| " <td>-46.4</td>\n", | |
| " <td>1877.6</td>\n", | |
| " <td>11245.4</td>\n", | |
| " <td>9367.8</td>\n", | |
| " <td>1172.8</td>\n", | |
| " <td>4658.9</td>\n", | |
| " <td>3486.1</td>\n", | |
| " <td>123380.7</td>\n", | |
| " <td>120330.3</td>\n", | |
| " <td>90792.5</td>\n", | |
| " <td>29537.8</td>\n", | |
| " <td>38358.5</td>\n", | |
| " <td>125135.5</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "</div>" | |
| ], | |
| "text/plain": [ | |
| "Nominal, Original Series GDP(Expenditure Approach) ... Final Sales of Domestic Product\n", | |
| "period ... \n", | |
| "1994/ 1- 3. 120994.4 ... 123588.9\n", | |
| "4- 6. 122715.4 ... 121862.9\n", | |
| "7- 9. 123398.9 ... 123715.2\n", | |
| "10-12. 134429.0 ... 132201.7\n", | |
| "1995/ 1- 3. 122207.9 ... 125135.5\n", | |
| "\n", | |
| "[5 rows x 22 columns]" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "execution_count": 5 | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "sioOAuOc_yrD", | |
| "colab_type": "text" | |
| }, | |
| "source": [ | |
| "## 基礎統計量の確認\n", | |
| "\n", | |
| "[pandas-profiling/pandas-profiling](https://github.com/pandas-profiling/pandas-profiling) で基礎統計量を計算する。[pandas-profiling/pandas-profiling](https://github.com/pandas-profiling/pandas-profiling)自体の使い方は例えば[【Pythonメモ】pandas-profilingが探索的データ解析にめちゃめちゃ便利だった件 - Qiita](https://qiita.com/h_kobayashi1125/items/02039e57a656abe8c48f) にある。\n", | |
| "\n", | |
| "今回は基礎統計量の計算ができることの検証のため、求めた基礎統計量について検討は行わない。" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "ztszUNfn38Qu", | |
| "colab_type": "code", | |
| "outputId": "fd8d9fa3-1755-4a6d-db27-09176f8aea83", | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 36085 | |
| } | |
| }, | |
| "source": [ | |
| "pdp.ProfileReport(normal_original_series)" | |
| ], | |
| "execution_count": 0, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/html": [ | |
| "<meta charset=\"UTF-8\">\n", | |
| "\n", | |
| "<style>\n", | |
| "\n", | |
| " .variablerow {\n", | |
| " border: 1px solid #e1e1e8;\n", | |
| " border-top: hidden;\n", | |
| " padding-top: 2em;\n", | |
| " padding-bottom: 2em;\n", | |
| " padding-left: 1em;\n", | |
| " padding-right: 1em;\n", | |
| " }\n", | |
| "\n", | |
| " .headerrow {\n", | |
| " border: 1px solid #e1e1e8;\n", | |
| " background-color: #f5f5f5;\n", | |
| " padding: 2em;\n", | |
| " }\n", | |
| " .namecol {\n", | |
| " margin-top: -1em;\n", | |
| " overflow-x: auto;\n", | |
| " }\n", | |
| "\n", | |
| " .dl-horizontal dt {\n", | |
| " text-align: left;\n", | |
| " padding-right: 1em;\n", | |
| " white-space: normal;\n", | |
| " }\n", | |
| "\n", | |
| " .dl-horizontal dd {\n", | |
| " margin-left: 0;\n", | |
| " }\n", | |
| "\n", | |
| " .ignore {\n", | |
| " opacity: 0.4;\n", | |
| " }\n", | |
| "\n", | |
| " .container.pandas-profiling {\n", | |
| " max-width:975px;\n", | |
| " }\n", | |
| "\n", | |
| " .col-md-12 {\n", | |
| " padding-left: 2em;\n", | |
| " }\n", | |
| "\n", | |
| " .indent {\n", | |
| " margin-left: 1em;\n", | |
| " }\n", | |
| "\n", | |
| " .center-img {\n", | |
| " margin-left: auto !important;\n", | |
| " margin-right: auto !important;\n", | |
| " display: block;\n", | |
| " }\n", | |
| "\n", | |
| " /* Table example_values */\n", | |
| " table.example_values {\n", | |
| " border: 0;\n", | |
| " }\n", | |
| "\n", | |
| " .example_values th {\n", | |
| " border: 0;\n", | |
| " padding: 0 ;\n", | |
| " color: #555;\n", | |
| " font-weight: 600;\n", | |
| " }\n", | |
| "\n", | |
| " .example_values tr, .example_values td{\n", | |
| " border: 0;\n", | |
| " padding: 0;\n", | |
| " color: #555;\n", | |
| " }\n", | |
| "\n", | |
| " /* STATS */\n", | |
| " table.stats {\n", | |
| " border: 0;\n", | |
| " }\n", | |
| "\n", | |
| " .stats th {\n", | |
| " border: 0;\n", | |
| " padding: 0 2em 0 0;\n", | |
| " color: #555;\n", | |
| " font-weight: 600;\n", | |
| " }\n", | |
| "\n", | |
| " .stats tr {\n", | |
| " border: 0;\n", | |
| " }\n", | |
| "\n", | |
| " .stats td{\n", | |
| " color: #555;\n", | |
| " padding: 1px;\n", | |
| " border: 0;\n", | |
| " }\n", | |
| "\n", | |
| "\n", | |
| " /* Sample table */\n", | |
| " table.sample {\n", | |
| " border: 0;\n", | |
| " margin-bottom: 2em;\n", | |
| " margin-left:1em;\n", | |
| " }\n", | |
| " .sample tr {\n", | |
| " border:0;\n", | |
| " }\n", | |
| " .sample td, .sample th{\n", | |
| " padding: 0.5em;\n", | |
| " white-space: nowrap;\n", | |
| " border: none;\n", | |
| "\n", | |
| " }\n", | |
| "\n", | |
| " .sample thead {\n", | |
| " border-top: 0;\n", | |
| " border-bottom: 2px solid #ddd;\n", | |
| " }\n", | |
| "\n", | |
| " .sample td {\n", | |
| " width:100%;\n", | |
| " }\n", | |
| "\n", | |
| "\n", | |
| " /* There is no good solution available to make the divs equal height and then center ... */\n", | |
| " .histogram {\n", | |
| " margin-top: 3em;\n", | |
| " }\n", | |
| " /* Freq table */\n", | |
| "\n", | |
| " table.freq {\n", | |
| " margin-bottom: 2em;\n", | |
| " border: 0;\n", | |
| " }\n", | |
| " table.freq th, table.freq tr, table.freq td {\n", | |
| " border: 0;\n", | |
| " padding: 0;\n", | |
| " }\n", | |
| "\n", | |
| " .freq thead {\n", | |
| " font-weight: 600;\n", | |
| " white-space: nowrap;\n", | |
| " overflow: hidden;\n", | |
| " text-overflow: ellipsis;\n", | |
| "\n", | |
| " }\n", | |
| "\n", | |
| " td.fillremaining{\n", | |
| " width:auto;\n", | |
| " max-width: none;\n", | |
| " }\n", | |
| "\n", | |
| " td.number, th.number {\n", | |
| " text-align:right ;\n", | |
| " }\n", | |
| "\n", | |
| " /* Freq mini */\n", | |
| " .freq.mini td{\n", | |
| " width: 50%;\n", | |
| " padding: 1px;\n", | |
| " font-size: 12px;\n", | |
| "\n", | |
| " }\n", | |
| " table.freq.mini {\n", | |
| " width:100%;\n", | |
| " }\n", | |
| " .freq.mini th {\n", | |
| " overflow: hidden;\n", | |
| " text-overflow: ellipsis;\n", | |
| " white-space: nowrap;\n", | |
| " max-width: 5em;\n", | |
| " font-weight: 400;\n", | |
| " text-align:right;\n", | |
| " padding-right: 0.5em;\n", | |
| " }\n", | |
| "\n", | |
| " .missing {\n", | |
| " color: #a94442;\n", | |
| " }\n", | |
| " .alert, .alert > th, .alert > td {\n", | |
| " color: #a94442;\n", | |
| " }\n", | |
| "\n", | |
| "\n", | |
| " /* Bars in tables */\n", | |
| " .freq .bar{\n", | |
| " float: left;\n", | |
| " width: 0;\n", | |
| " height: 100%;\n", | |
| " line-height: 20px;\n", | |
| " color: #fff;\n", | |
| " text-align: center;\n", | |
| " background-color: #337ab7;\n", | |
| " border-radius: 3px;\n", | |
| " margin-right: 4px;\n", | |
| " }\n", | |
| " .other .bar {\n", | |
| " background-color: #999;\n", | |
| " }\n", | |
| " .missing .bar{\n", | |
| " background-color: #a94442;\n", | |
| " }\n", | |
| " .tooltip-inner {\n", | |
| " width: 100%;\n", | |
| " white-space: nowrap;\n", | |
| " text-align:left;\n", | |
| " }\n", | |
| "\n", | |
| " .extrapadding{\n", | |
| " padding: 2em;\n", | |
| " }\n", | |
| "\n", | |
| " .pp-anchor{\n", | |
| "\n", | |
| " }\n", | |
| "\n", | |
| "</style>\n", | |
| "\n", | |
| "<div class=\"container pandas-profiling\">\n", | |
| " <div class=\"row headerrow highlight\">\n", | |
| " <h1>Overview</h1>\n", | |
| " </div>\n", | |
| " <div class=\"row variablerow\">\n", | |
| " <div class=\"col-md-6 namecol\">\n", | |
| " <p class=\"h4\">Dataset info</p>\n", | |
| " <table class=\"stats\" style=\"margin-left: 1em;\">\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>Number of variables</th>\n", | |
| " <td>23 </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Number of observations</th>\n", | |
| " <td>101 </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Total Missing (%)</th>\n", | |
| " <td>0.0% </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Total size in memory</th>\n", | |
| " <td>18.2 KiB </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Average record size in memory</th>\n", | |
| " <td>184.8 B </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " <div class=\"col-md-6 namecol\">\n", | |
| " <p class=\"h4\">Variables types</p>\n", | |
| " <table class=\"stats\" style=\"margin-left: 1em;\">\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>Numeric</th>\n", | |
| " <td>16 </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Categorical</th>\n", | |
| " <td>1 </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Boolean</th>\n", | |
| " <td>0 </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Date</th>\n", | |
| " <td>0 </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Text (Unique)</th>\n", | |
| " <td>0 </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Rejected</th>\n", | |
| " <td>6 </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Unsupported</th>\n", | |
| " <td>0 </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " <div class=\"col-md-12\" style=\"padding-left: 1em;\">\n", | |
| " \n", | |
| " <p class=\"h4\">Warnings</p>\n", | |
| " <ul class=\"list-unstyled\"><li><a href=\"#pp_var_Consumption ofHouseholds\"><code>Consumption ofHouseholds</code></a> is highly correlated with <a href=\"#pp_var_PrivateConsumption\"><code>PrivateConsumption</code></a> (ρ = 0.99288) <span class=\"label label-primary\">Rejected</span></li><li><a href=\"#pp_var_DomesticDemand\"><code>DomesticDemand</code></a> is highly correlated with <a href=\"#pp_var_GNI\"><code>GNI</code></a> (ρ = 0.96003) <span class=\"label label-primary\">Rejected</span></li><li><a href=\"#pp_var_Final Sales of Domestic Product\"><code>Final Sales of Domestic Product</code></a> is highly correlated with <a href=\"#pp_var_GNI\"><code>GNI</code></a> (ρ = 0.9239) <span class=\"label label-primary\">Rejected</span></li><li><a href=\"#pp_var_GNI\"><code>GNI</code></a> is highly correlated with <a href=\"#pp_var_GDP(Expenditure Approach)\"><code>GDP(Expenditure Approach)</code></a> (ρ = 0.97156) <span class=\"label label-primary\">Rejected</span></li><li><a href=\"#pp_var_Goods & Services (Imports)\"><code>Goods & Services (Imports)</code></a> is highly correlated with <a href=\"#pp_var_Goods & Services (Exports)\"><code>Goods & Services (Exports)</code></a> (ρ = 0.95338) <span class=\"label label-primary\">Rejected</span></li><li><a href=\"#pp_var_PrivateDemand\"><code>PrivateDemand</code></a> is highly correlated with <a href=\"#pp_var_DomesticDemand\"><code>DomesticDemand</code></a> (ρ = 0.91897) <span class=\"label label-primary\">Rejected</span></li> </ul>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| " <div class=\"row headerrow highlight\">\n", | |
| " <h1>Variables</h1>\n", | |
| " </div>\n", | |
| " <div class=\"row variablerow\">\n", | |
| " <div class=\"col-md-3 namecol\">\n", | |
| " <p class=\"h4 pp-anchor\" id=\"pp_var_Changein PrivateInventories\">Changein PrivateInventories<br/>\n", | |
| " <small>Numeric</small>\n", | |
| " </p>\n", | |
| " </div><div class=\"col-md-6\">\n", | |
| " <div class=\"row\">\n", | |
| " <div class=\"col-sm-6\">\n", | |
| " <table class=\"stats \">\n", | |
| " <tr>\n", | |
| " <th>Distinct count</th>\n", | |
| " <td>101</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Unique (%)</th>\n", | |
| " <td>100.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Infinite (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Infinite (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| "\n", | |
| " </div>\n", | |
| " <div class=\"col-sm-6\">\n", | |
| " <table class=\"stats \">\n", | |
| "\n", | |
| " <tr>\n", | |
| " <th>Mean</th>\n", | |
| " <td>68.521</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Minimum</th>\n", | |
| " <td>-4687.6</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Maximum</th>\n", | |
| " <td>3400.6</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Zeros (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| "<div class=\"col-md-3 collapse in\" id=\"minihistogram6254903023112478861\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAAStJREFUeJzt28Fpw0AQQNEouKQU4Z58dk8pIj1tGggfZFC01r53F%2BzlM4xW2sYY4wP40%2BfZB4CZ3c4%2BAO/h6/G9%2B5mf5/2Ak/wvEwSCQCAIBIJAIFjSF/TKwr0qEwSCQCAIBIJAIFjSL8DSfRwTBIJAIAgEgkAgLLukr/r5NvuYIBAEAkEgEAQCYdklfVZuxedigkAQCASBQBAIBIFAEAgEgUAQCASBQLjETbrb5zld4ZcCEwSCQCAIBIJAIAgEgkAgTPead%2BZXtjOfjWOYIBAEAkEgEAQCQSAQBAJBIBAEAkEgELYxxjj7EDArEwSCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCATCL8WcGgVY//2LAAAAAElFTkSuQmCC\">\n", | |
| "\n", | |
| "</div>\n", | |
| "<div class=\"col-md-12 text-right\">\n", | |
| " <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives6254903023112478861,#minihistogram6254903023112478861\"\n", | |
| " aria-expanded=\"false\" aria-controls=\"collapseExample\">\n", | |
| " Toggle details\n", | |
| " </a>\n", | |
| "</div>\n", | |
| "<div class=\"row collapse col-md-12\" id=\"descriptives6254903023112478861\">\n", | |
| " <ul class=\"nav nav-tabs\" role=\"tablist\">\n", | |
| " <li role=\"presentation\" class=\"active\"><a href=\"#quantiles6254903023112478861\"\n", | |
| " aria-controls=\"quantiles6254903023112478861\" role=\"tab\"\n", | |
| " data-toggle=\"tab\">Statistics</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#histogram6254903023112478861\" aria-controls=\"histogram6254903023112478861\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#common6254903023112478861\" aria-controls=\"common6254903023112478861\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#extreme6254903023112478861\" aria-controls=\"extreme6254903023112478861\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n", | |
| "\n", | |
| " </ul>\n", | |
| "\n", | |
| " <div class=\"tab-content\">\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles6254903023112478861\">\n", | |
| " <div class=\"col-md-4 col-md-offset-1\">\n", | |
| " <p class=\"h4\">Quantile statistics</p>\n", | |
| " <table class=\"stats indent\">\n", | |
| " <tr>\n", | |
| " <th>Minimum</th>\n", | |
| " <td>-4687.6</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>5-th percentile</th>\n", | |
| " <td>-3666.7</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Q1</th>\n", | |
| " <td>-1790.2</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Median</th>\n", | |
| " <td>384.6</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Q3</th>\n", | |
| " <td>1786.9</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>95-th percentile</th>\n", | |
| " <td>2663.2</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Maximum</th>\n", | |
| " <td>3400.6</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Range</th>\n", | |
| " <td>8088.2</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Interquartile range</th>\n", | |
| " <td>3577.1</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " <div class=\"col-md-4 col-md-offset-2\">\n", | |
| " <p class=\"h4\">Descriptive statistics</p>\n", | |
| " <table class=\"stats indent\">\n", | |
| " <tr>\n", | |
| " <th>Standard deviation</th>\n", | |
| " <td>2114.5</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Coef of variation</th>\n", | |
| " <td>30.859</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Kurtosis</th>\n", | |
| " <td>-0.85857</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Mean</th>\n", | |
| " <td>68.521</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>MAD</th>\n", | |
| " <td>1763.8</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"\">\n", | |
| " <th>Skewness</th>\n", | |
| " <td>-0.56018</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Sum</th>\n", | |
| " <td>6920.6</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Variance</th>\n", | |
| " <td>4471000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Memory size</th>\n", | |
| " <td>888.0 B</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram6254903023112478861\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzt3XtclHX%2B//8nMJ4VEwvb1NRNJQU0D0SiKaJ5LA%2BooX76mKWpRRmmLR4y87BqqVsmdtA%2BtZpWmLlpZnlIO26723HF4yZSlmGQMoKIIvD%2B/eHP%2BToLKsgFFzM87rcbN7ze72uueb3mmmt83q5rZvAxxhgBAADAMr52FwAAAOBtCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYzGF3AZVFenqW27Kvr48CAmrpxIlsFRQYm6qyHn15FvryLPTlWeirYrjuujq23C9nsGzi6%2BsjHx8f%2Bfr62F2KpejLs9CXZ6Evz0JflRsBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIOuwsAAMBT9H3uC7tLKJEP4jrbXUKlxRksAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALCYw%2B4CrPTZZ58pPj5e4eHhevbZZ13jTzzxhDZu3Oi2bn5%2BvgYOHKgFCxYU2k5UVJTS0tLk4%2BPjGuvcubNeeumlsiseAAB4Da8JWCtXrtT69evVpEmTQnPz5s3TvHnzXMt5eXkaNGiQ%2BvTpc8nt/d///Z/Cw8PLpFYAAODdvOYSYbVq1S4ZsP7bqlWrdMMNN6hbt27lUBkAAKhsvOYM1qhRo4q1XmZmpl566SW98cYbl11v9erVmjFjho4fP67bb79ds2bNUv369Yt1H2lpaUpPT3cbczhqKjAw0LXs5%2Bfr9ttb0JdnoS/PQl8oKYfD%2BseU/VU8XhOwimvNmjUKCwtTixYtLrlOq1at1KZNGz3zzDPKzMxUfHy8Hn30Ua1Zs6ZY95GYmKiEhAS3sdjYWE2cOLHQuv7%2BNUrWgIegL89CX56FvlBc9erVKrNts78ur1IFrPz8fK1du1ZLliy57HrLly93/btWrVqaNWuW%2BvXrpyNHjujGG2%2B84v3ExMQoKirKbczhqKmMjGzXsp%2Bfr/z9aygzM0f5%2BQUl7KTioi/PQl%2Behb5QUhf/v2MVT9tfZRkyL6dSBayvvvpKubm56tixY4lu17BhQ0nnL/0VJ2AFBga6XQ6UpPT0LOXlFX4i5ucXFDnu6ejLs9CXZ6EvFFdZPp7sr8urVBdQP/roI912221yOC6dK48ePapZs2YpNzfXNZacnCxJaty4cZnXCAAAPF%2BlClj79%2B9Xo0aNCo1v375dI0eOlCTVr19fO3fu1MKFC3X69Gn99ttvWrBggbp3764GDRqUd8kAAMADec0lwtDQUEnnv%2BNKknbs2CFJSkpKcq2Tnp6ua6%2B9ttBts7Ky9NNPP0mSqlevrldeeUULFy5U165dJUl33HGHpk2bVqb1AwAA7%2BE1AeviIHUpW7duLXI8Ojpa0dHRruWgoCC99tprltUGAAAql0p1iRAAAKA8eM0ZLACA5%2Bn73Bd2lwCUCc5gAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMW8KmB99tlnioiI0KRJk9zGN2zYoJtvvlmhoaFuP7t37y5yO06nU3FxcYqIiFCXLl00Y8YMnTlzpjxaAAAAXsBhdwFWWblypdavX68mTZoUOR8WFqbXX3%2B9WNuaOXOmcnNztXnzZp07d06PPvqoFi9erCeeeMLKkgEAgJfymjNY1apVu2zAKq7ff/9dO3bs0KRJkxQQEKAGDRrooYce0jvvvKNz585ZVC0AAPBmXnMGa9SoUZedT01N1X333ac9e/bI399fEydO1MCBAwutt3//fvn5%2BSkoKMg1FhwcrNOnT%2Bvw4cNu45eSlpam9PR0tzGHo6YCAwNdy35%2Bvm6/vQV9eRb68ize2hfKjsNh/XOF52HxeE3AupyAgAA1bdpUjz32mJo3b67t27frT3/6kwIDA9WpUye3dZ1Op2rXri0fHx/XWN26dSVJGRkZxbq/xMREJSQkuI3FxsZq4sSJhdb1969R0nY8An15FvryLFfqq%2BOMD8upElR09erVKrNte%2BvxZZVKEbAiIyMVGRnpWu7fv7%2B2b9%2BuDRs2FApYkmSMKdX9xcTEKCoqym3M4aipjIxs17Kfn6/8/WsoMzNH%2BfkFpbq/ioS%2BPAt9eRZv7Qtl5%2BL/d6ziac/DsgyZl1MpAlZRGjZsqD179hQaDwgI0KlTp5Sfny8/Pz9J589qSVL9%2BvWLte3AwEC3y4GSlJ6epby8wk/E/PyCIsc9HX15FvryLN7aF6xXls8TnoeXVykuoL755pvasmWL21hycrIaN25caN1WrVrJGKMDBw64xpKSkuTv769mzZqVea0AAMDzVYqAlZubq7lz5yopKUnnzp3T5s2b9emnn2r48OGSpO3bt2vkyJGSzp/B6t27t5577jmdOHFCx44d0/LlyzV06FA5HJX2hB8AACgBr0kMoaGhkqS8vDxJ0o4dOySdP/s0atQoZWdn69FHH1V6eroaNWqk5cuXKyQkRJKUlZWln376ybWtOXPmaNasWerRo4eqVKmiO%2B%2B8s9CXlwIAAFyKjyntO7pRLOnpWW7LDoev6tWrpYyMbK%2B6hk1fnoW%2BPEtx%2B%2Br73BflWBUqsg/iOlu%2BTU87vq67ro4t91spLhECAACUJwIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMYfdBQAVVd/nvrC7hBL5IK6z3SUAAP5/nMECAACwGAELAADAYgQsAAAAi3lNwPrss88UERGhSZMmFZrbtm2bBgwYoHbt2ql3795at27dJbfzv//7vwoODlZoaKjrZ8CAAWVZOgAA8DJe8Sb3lStXav369WrSpEmhud27d2vKlCn6y1/%2BosjISH3xxReKjY3VH//4R3Xs2LHI7c2dO1fR0dFlXTYAAPBSXnEGq1q1apcMWE6nU%2BPHj1fPnj3lcDjUrVs3tWzZUl9//bUNlQIAgMrAK85gjRo16pJzXbt2VdeuXV3LeXl5Sk9PV4MGDS55my1btuiVV15Ramqq2rZtqzlz5ujGG28sdj1paWlKT093G3M4aiowMNC17Ofn6/bbW3hrX57A4Sj5Y%2B6t%2B4u%2BgPOu5nXhSngeFo9XBKySWLx4sWrWrKl%2B/foVOX/TTTepRo0aWrx4sQoKCjRv3jyNHTtWmzdvVtWqVYt1H4mJiUpISHAbi42N1cSJEwut6%2B9fo%2BRNeABv7asiq1ev1lXf1lv3F32hsivN68KV8Dy8vEoTsIwxWrx4sTZv3qzVq1erWrVqRa731FNPuS3PmTNH4eHh%2Buabb9SpU6di3VdMTIyioqLcxhyOmsrIyHYt%2B/n5yt%2B/hjIzc5SfX1CyZiowb%2B3LE1z8/Coub91f9AWcdzWvC1fiac/DsgyZl1MpAlZBQYGmTZum3bt3680331Tjxo2LfdvatWurbt26%2Bu2334p9m8DAQLfLgZKUnp6lvLzCT8T8/IIixz2dt/ZVkZXm8fbW/UVfqOzK8nnC8/DyKsUF1Pnz5%2BuHH364Yrg6deqUnnrqKbcwdeLECZ04caJEoQwAAFRuXh%2BwvvnmG23atEkrVqzQNddcU2h%2B9%2B7d6tOnj3Jzc1W7dm39%2B9//1rx58%2BR0OnXy5EnNnj1bQUFBateunQ3VAwAAT%2BQVlwhDQ0Mlnf%2BEoCTt2LFDkpSUlKR33nlHWVlZ6t69u9ttwsLC9OqrryonJ0cpKSkyxkiSli9frvnz56t3797Kzc1Vp06dtGLFCvn6en0WBQAAFvGKgJWUlHTJufnz52v%2B/PmXnA8PD9fBgwddyzfccEOhTwACAACUBKdlAAAALGZ7wIqKilJCQoJSU1PtLgUAAMAStgesIUOGaMuWLerZs6fGjh2rbdu2ud5LBQAA4IlsD1ixsbHasmWL1q1bpxYtWmj%2B/Pnq1q2bFi1apJSUFLvLAwAAKDHbA9YFwcHBio%2BP165duzR9%2BnStW7dO/fr105gxY7R79267ywMAACi2ChOwzp07py1btuiBBx5QfHy8GjRooGnTpqlVq1YaPXq03nvvPbtLBAAAKBbbv6YhOTlZ69ev17vvvqvs7Gz17t1bq1atUocOHVzrhIWF6amnntJdd91lY6UAAADFY3vA6t%2B/v5o1a6bx48dr0KBBRX7berdu3XTixAkbqgMAACg52wPW6tWrdeutt15xvX//%2B9/lUA0AAEDp2f4erKCgIE2YMMH1520k6a9//aseeOABOZ1OGysDAAC4OrYHrAULFigrK0vNmzd3jUVGRqqgoEALFy60sTIAAICrY/slws8//1zvvfee6tWr5xpr2rSpFi9erDvvvNPGygAAAK6O7Wewzpw5o2rVqhUa9/X1VU5Ojg0VAQAAlI7tASssLEwLFy7UyZMnXWO//fabZs%2Be7fZVDQAAAJ7C9kuE06dP1/33369OnTqpdu3aKigoUHZ2tho3bqzXX3/d7vIAAABKzPaA1bhxY73//vv69NNPdeTIEfn6%2BqpZs2bq0qWL/Pz87C4PAACgxGwPWJJUtWpV9ezZ0%2B4yAAAALGF7wPr555%2B1ZMkS/fDDDzpz5kyh%2BY8%2B%2BsiGqgAAAK6e7QFr%2BvTpSktLU5cuXVSzZk27ywGAQvo%2B94XdJQDwMLYHrD179uijjz5SQECA3aUAAABYwvavaahfvz5nrgAAgFexPWCNHz9eCQkJMsbYXQoAAIAlbL9E%2BOmnn%2Brbb7/Vhg0b1KhRI/n6ume%2Bt956y6bKAAAAro7tAat27drq2rWr3WUAAABYxvaAtWDBArtLAAAAsJTt78GSpMOHD2vZsmWaNm2aa%2By7776zsSIAAICrZ3vA%2BvLLLzVgwABt27ZNmzdvlnT%2By0dHjRrFl4wCAACPZHvAevbZZ/X444/rvffek4%2BPj6Tzf59w4cKFWr58uc3VAQAAlJztAes///mPRowYIUmugCVJffr0UXJysl1lAQAAXDXbA1adOnWK/BuEaWlpqlq1aom29dlnnykiIkKTJk0qNLdlyxbdddddateunaKjo/X5559fcjtOp1NxcXGKiIhQly5dNGPGjCJrBAAAKIrtAat9%2B/aaP3%2B%2BTp065RpLSUlRfHy8OnXqVOztrFy5UvPmzVOTJk0Kze3fv1/x8fGaMmWK/vGPf2j06NF6%2BOGHdezYsSK3NXPmTOXk5Gjz5s165513lJycrMWLF5e8OQAAUCnZHrCmTZum7777TuHh4Tp79qzat2%2Bvfv36yel0aurUqcXeTrVq1bR%2B/foiA9bbb7%2Btbt26qVu3bqpWrZoGDBigli1batOmTYXW/f3337Vjxw5NmjRJAQEBatCggR566CG98847OnfuXKl6BQAAlYPt34N1/fXXa/Pmzfrkk0%2BUkpKi6tWrq1mzZurcubPbe7KuZNSoUZec27t3r7p16%2BY21rp1ayUlJRVad//%2B/fLz81NQUJBrLDg4WKdPn9bhw4fdxgEAAIpie8CSpCpVqqhnz55ltn2n06m6deu6jdWtW1eHDh0qct3atWu7hbsLt83IyCjW/aWlpSk9Pd1tzOGoqcDAQNeyn5%2Bv229v4a19eQKHo%2BSPubfuL2/tCyipq3lduBKOr%2BKxPWBFRUVd9kyVVd%2BFVZI/Jl3aPzydmJiohIQEt7HY2FhNnDix0Lr%2B/jVKdV8Vlbf2VZHVq1frqm/rrfvLW/sCiqs0rwtXwvF1ebYHrH79%2BrkFrPz8fKWkpCgpKUn33nuvJfdRr149OZ1OtzGn06mAgIBC6wYEBOjUqVPKz8%2BXn5%2Bfa11Jql%2B/frHuLyYmRlFRUW5jDkdNZWRku5b9/Hzl719DmZk5ys8vKFE/FZm39uUJLn5%2BFZe37i9v7Qsoqat5XbgSTzu%2ByjJkXo7tAWvKlClFjm/dulX//Oc/LbmPkJAQ7dmzx20sKSlJ/fv3L7Ruq1atZIzRgQMHFBwc7FrX399fzZo1K9b9BQYGul0OlKT09Czl5RV%2BIubnFxQ57um8ta%2BKrDSPt7fuL2/tCyiusnz%2Bc3xdXoW9gNqzZ0%2B9//77lmzr7rvv1t///nd9/PHHOnv2rNavX68ff/xRAwYMkCRt375dI0eOlHT%2BDFbv3r313HPP6cSJEzp27JiWL1%2BuoUOHyuGwPY8CAAAPUGETw759%2B0r0XqjQ0FBJUl5eniRpx44dks6ffWrZsqUWL16sBQsW6OjRo2revLlefvllXXfddZKkrKws/fTTT65tzZkzR7NmzVKPHj1UpUoV3XnnnUV%2BeSkAAEBRbA9Yw4cPLzSWk5Oj5ORk9erVq9jbKeorFy7Wq1evS24vOjpa0dHRruU6deroL3/5S7HvGwAA4GK2B6ymTZsW%2BhRhtWrVNHToUA0bNsymqgAAAK6e7QFr4cKFdpcAAABgKdsD1rvvvlvsdQcNGlSGlQAAAFjD9oA1Y8YMFRQUFHpDu4%2BPj9uYj48PAQsAAHgE2wPWK6%2B8oldffVUTJkxQUFCQjDE6ePCgVq5cqXvuuUfh4eF2lwgAAFAitgeshQsXasWKFWrQoIFrrGPHjmrcuLHGjBmjzZs321gdAABAydn%2BRaM//vhjoT/ELEn%2B/v46evSoDRUBAACUju0Bq2HDhlq4cKEyMjJcY5mZmVqyZIluvPFGGysDAAC4OrZfIpw%2BfbomT56sxMRE1apVS76%2Bvjp16pSqV6%2Bu5cuX210eAABAidkesLp06aKPP/5Yn3zyiY4dOyZjjBo0aKDbb79dderUsbs8AACAErM9YElSjRo11KNHDx07dkyNGze2uxwAAIBSsf09WGfOnFF8fLzatWunvn37Sjr/HqyxY8cqMzPT5uoAAABKzvaAtWjRIu3fv1%2BLFy%2BWr%2B//Kyc/P1%2BLFy%2B2sTIAAICrY3vA2rp1q55//nn16dPH9Uef/f39tWDBAm3bts3m6gAAAErO9oCVnZ2tpk2bFhoPCAjQ6dOny78gAACAUrI9YN1444365z//KUluf3vwww8/1A033GBXWQAAAFfN9k8Rjhw5Uo888oiGDBmigoICvfbaa9qzZ4%2B2bt2qGTNm2F0eAABAidkesGJiYuRwOLRmzRr5%2BfnppZdeUrNmzbR48WL16dPH7vIAAABKzPaAdeLECQ0ZMkRDhgyxuxQAAABL2P4erB49eri99woAAMDT2R6wwsPD9cEHH9hdBgAAgGVsv0T4hz/8QX/%2B85%2B1YsUK3XjjjapSpYrb/JIlS2yqDAAA4OrYHrAOHTqkP/7xj5KkjIwMm6sBAAAoPdsC1qRJk/Tss8/q9ddfd40tX75csbGxdpUEAABgCdveg7Vz585CYytWrLChEgAAAGvZFrCK%2BuQgnyYEAADewLaAdeEPO19pDAAAwNPY/jUNAAAA3oaABQAAYDHbPkV47tw5TZ48%2BYpjVnwP1ldffaX777/fbcwYo3PnzungwYNu48uWLdMLL7wgh8P9odm1a5euvfbaUtcCAAC8n20Bq0OHDkpLS7vimBXCwsKUlJTkNvbSSy/pwIEDRa4/cOBALVy40PI6AABA5WBbwLr4%2B6/K26%2B//qrXXntNf/vb32yrAQAAeK9K%2BR6spUuXasiQIbrhhhuKnD948KCGDx%2Bu9u3bq3///vr888/LuUIAAODJbP9TOeXtl19%2B0bZt27Rt27Yi56%2B//no1btxYkydPVmBgoBITEzVhwgRt2rTJ9Sd9riQtLU3p6eluYw5HTQUGBrqW/fx83X57C2/tyxM4HCV/zL11f3lrX0BJXc3rwpVwfBVPpQtYa9euVa9evXTdddcVOT9s2DANGzbMtTx69Gi9//772rRpk%2BLi4op1H4mJiUpISHAbi42N1cSJEwut6%2B9fowTVew5v7asiq1ev1lXf1lv3l7f2BRRXaV4XroTj6/IqXcDaunWr4uPjS3Sbhg0blujN9zExMYqKinIbczhqKiMj27Xs5%2Bcrf/8ayszMUX5%2BQYnqqci8tS9PcPHzq7i8dX95a19ASV3N68KVeNrxVZYh83IqVcDav3%2B/jh49qs6dO19ynRdeeEHt2rVTp06dXGPJycnq169fse8nMDDQ7XKgJKWnZykvr/ATMT%2B/oMhxT%2BetfVVkpXm8vXV/eWtfQHGV5fOf4%2BvyKtUF1H379umaa65R7dq13cb79Omjr7/%2BWpLkdDo1e/ZsHT58WGfPntWrr76qI0eOaPDgwXaUDAAAPFClOoP1%2B%2B%2B/F/neq5SUFJ0%2BfVqSXF90Onr0aDmdTjVv3lx//etfdf3115drrQAAwHNVqoA1fvx4jR8/vtD4xd/mXq1aNU2fPl3Tp08vz9IAAIAXqVSXCAEAAMoDAQsAAMBileoSIezV97kv7C4BACoVT3rd/SDu0p/w90ScwQIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiDrsLKC9BQUGqUqWKfHx8XGN33323Zs6cWWjd1atXa%2B3atUpPT1dQUJBmzJihkJCQ8iwXAAB4sEoTsCTpww8/VKNGjS67zs6dO7Vs2TK98sorCgoK0urVqzVhwgRt27ZNNWvWLKdKAQCAJ%2BMS4X9JTExUdHS02rZtq%2BrVq2vs2LGSpF27dtlcGQAA8BSVKmAtWbJEkZGR6tixo2bOnKns7OxC6%2Bzdu1etW7d2Lfv6%2BqpVq1ZKSkoqz1IBAIAHqzSXCG%2B55RZFRETo6aef1s8//6y4uDjNnj1bzzzzjNt6TqdTdevWdRurW7euMjIyin1faWlpSk9PdxtzOGoqMDDQtezn5%2Bv221t4a1%2BewOEo%2BWPurfvLW/sCvNnVvIZVZJUmYCUmJrr%2BfdNNN2nKlCl68MEHNW/ePFWtWtVtXWNMqe8rISHBbSw2NlYTJ04stK6/f41S3VdF5a19VWT16tW66tt66/7y1r4Ab1Sa17CKqNIErP/WqFEj5efn6/jx4/rDH/7gGq9Xr56cTqfbuk6nUy1atCj2tmNiYhQVFeU25nDUVEbG/7sk6efnK3//GsrMzFF%2BfsFVdlHxeGtfnuDi51dxeev%2B8ta%2BAG92Na9hxWFXcKsUAWvfvn3atGmTpk6d6hpLTk5W1apV3S7bSVJISIj27t2rwYMHS5Ly8/O1b98%2BDR06tNj3FxgYWGi76elZyssr/EKfn19Q5Lin89a%2BKrLSPN7eur%2B8tS/AG3nbsepdFzwvoX79%2BkpMTNSKFSuUm5urlJQULV26VDExMfLz81OfPn309ddfS5JGjBihd999V99//71ycnL04osvqmrVqoqMjLS3CQAA4DEqxRmsBg0aaMWKFVqyZIkrMA0ePFiTJk2SJKWkpOj06dOSpK5du%2Bqxxx5TXFycjh8/rtDQUK1YsULVq1e3swUAAOBBKkXAkqSwsDC99dZbRc4dPHjQbXnkyJEaOXJkeZQFAAC8UKW4RAgAAFCeCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABarNH8qx1v1fe4Lu0tABcFzAQAqDs5gAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGCxShOwjh49qtjYWIWHhysiIkJTp05VZmZmofU2bNigm2%2B%2BWaGhoW4/u3fvtqFqAADgiSpNwJowYYL8/f21c%2BdObdiwQT/88IOefvrpItcNCwtTUlKS20%2BbNm3KuWIAAOCpKkXAyszMVEhIiCZPnqxatWrp%2Buuv1%2BDBg/X111/bXRoAAPBClSJg%2Bfv7a8GCBbr22mtdY6mpqQoMDCxy/dTUVN13330KCwtTjx49tHHjxvIqFQAAeAGH3QXYISkpSWvWrNGLL75YaC4gIEBNmzbVY489pubNm2v79u3605/%2BpMDAQHXq1KlY209LS1N6errbmMNR0y3Q%2Bfn5uv0GAKAyczi86//DShewvvnmGz344IOaPHmyIiIiCs1HRkYqMjLStdy/f39t375dGzZsKHbASkxMVEJCgttYbGysJk6cWGhdf/8aJWsAAAAvVK9eLbtLsFQAsl6mAAARhElEQVSlClg7d%2B7U448/rpkzZ2rQoEHFvl3Dhg21Z8%2BeYq8fExOjqKgotzGHo6YyMrJdy35%2BvvL3r6HMzBzl5xcUe9sAAHiji/%2BPtJJdwa3SBKxvv/1W8fHxWrp0qbp06XLJ9d58803VrVtX/fr1c40lJyercePGxb6vwMDAQu/vSk/PUl5e4SCVn19Q5DgAAJWJt/1f6F0XPC8hLy9PTzzxhKZMmVJkuLr33nu1ZcsWSVJubq7mzp2rpKQknTt3Tps3b9ann36q4cOHl3fZAADAQ1WKM1jff/%2B9kpOTNW/ePM2bN89t7sMPP9TPP/%2BskydPSpJGjRql7OxsPfroo0pPT1ejRo20fPlyhYSE2FE6AADwQD7GGGN3EZVBenqW27LD4at69WopIyO7VKdF%2Bz73RWlLAwDAdh/EdS6T7V53XZ0y2e6VVIpLhAAAAOWJgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgsUoTsI4ePapx48YpPDxc3bt316JFi1RQUFDkuqtXr1bv3r3Vvn17jRgxQnv27CnnagEAgCerNAHrkUceUYMGDbRjxw699tpr2rFjh1atWlVovZ07d2rZsmV65pln9Pe//13du3fXhAkTdPr0aRuqBgAAnqhSBKykpCQdOHBAU6ZMUZ06ddS0aVONHj1aiYmJhdZNTExUdHS02rZtq%2BrVq2vs2LGSpF27dpV32QAAwEM57C6gPOzdu1cNGzZU3bp1XWPBwcFKSUnRqVOnVLt2bbd1%2B/Xr51r29fVVq1atlJSUpP79%2Bxfr/tLS0pSenu425nDUVGBgoGvZz8/X7TcAAJWZw%2BFd/x9WioDldDrl7%2B/vNnYhbGVkZLgFLKfT6RbELqybkZFR7PtLTExUQkKC29jDDz%2BsRx55xLWclpamVateUUxMjFvwKqmv/9znqm9bFtLS0pSYmFjqvioa%2BvIs9OVZ6MuzeGtfVvOuuHgZxpgyWbcoMTEx2rBhg9tPTEyM2zrp6elKSEgodKbL09GXZ6Evz0JfnoW%2BKrdKcQYrICBATqfTbczpdMrHx0cBAQFu4/Xq1Sty3RYtWhT7/gIDA0n1AABUYpXiDFZISIhSU1N14sQJ11hSUpKaN2%2BuWrVqFVp37969ruX8/Hzt27dPbdu2Lbd6AQCAZ6sUAat169YKDQ3VkiVLdOrUKSUnJ%2Bu1117TiBEjJEl9%2BvTR119/LUkaMWKE3n33XX3//ffKycnRiy%2B%2BqKpVqyoyMtLGDgAAgCfxe%2Bqpp56yu4jycPvtt2vz5s2aO3eu3n//fQ0dOlRjxoyRj4%2BP5s6dq759%2B6pJkyZq0qSJateurT//%2Bc96/vnnlZubqyVLlqhBgwaW11SrVi3deuuthc6ieTr68iz05Vnoy7PQV%2BXlY0r7jm4AAAC4qRSXCAEAAMoTAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBy2JRUVEKCQlRaGio62fChAmu%2Bf379%2Buee%2B5Rhw4d1KtXL7366qtut9%2ByZYvuuusutWvXTtHR0fr8889dcwUFBXr22WfVo0cPhYWFacyYMfr555/LrbcLVq1apaCgIP3yyy%2BuMU/t65dfftFDDz2kW2%2B9VeHh4XrggQeUkpLi8X1lZGQoPj5enTt3Vnh4uB5%2B%2BGGlpqa65o8ePapx48YpPDxc3bt316JFi1RQUOCa//LLLzV06FC1b99e/fv316ZNm9y2v3r1avXu3Vvt27fXiBEjtGfPnnLpSzr/h9rvuOMO3X333YXmSlP32bNn9eSTT6pr164KDw/XxIkTlZGRUeb9FMeV9ldF8tlnnykiIkKTJk0qNFea48XpdCouLk4RERHq0qWLZsyYoTNnzpRLT9L5fRAbG6vw8HBFRERo6tSpyszMlOS5rxOSdODAAd17773q0KGDIiIiFBcXp/T0dEneezyVGwNLde/e3fzjH/8oci4nJ8fcfvvtZtmyZSY7O9vs2bPH3HrrrWbr1q3GGGP27dtnQkJCzMcff2zOnDljNm7caNq2bWtSU1ONMcasXr3adO/e3Rw6dMhkZWWZOXPmmLvuussUFBSUW3/Hjh0zXbt2NS1btjQ///yzx/c1YMAAM3PmTHPq1CmTlZVl4uLizMCBAz2%2Br/Hjx5v777/fHD9%2B3GRkZJhx48aZe%2B%2B91zU/ePBg88QTT5jMzEyTkpJievXqZV599VVjjDG//fabueWWW8zbb79tzpw5Y7744gvTpk0bs3v3bmOMMR999JHp2LGj%2Bf77701OTo55%2BeWXTefOnU12dnaZ97Vx40bTrVs3M2bMGDNs2DC3udLWvWDBAhMdHW1%2B/fVXk5GRYR5%2B%2BGEzfvz4Mu%2BpOC63vyqSFStWmF69epnhw4ebuLg4t7nSHi8PP/ywGTdunDl%2B/Lg5duyYiYmJMXPnzi233u68804zdepUc%2BrUKZOammqio6PN9OnTPfp14uzZs6ZTp04mISHBnD171hw/ftzcc8895qGHHvLq46m8ELAsdrmA9cEHH5jbbrvN5OXlucYWLVpk7r//fmOMMbNnzzaxsbFutxk2bJh5%2BeWXjTHG9O/f36xatco1l5WVZVq3bm2%2B%2B%2B47q9u4pEceecS88MILbgHLU/s6e/asWbdunXE6na6xHTt2mODgYFNQUOCxfRUUFJgnn3zSHDx40DW2c%2BdOExISYgoKCszu3btNq1at3Pp%2B4403TO/evY0xxrzyyitm0KBBbtuMi4szM2fONMYYM27cODN//nzXXH5%2BvuncubPZvHlzWbZljDFm3bp15tixY%2Bb5558vFLBKU/e5c%2BdMhw4dzI4dO1zzhw4dMkFBQebYsWNl2NGVXWl/VSSrVq0ymZmZJj4%2BvlDAKs3xkp6ebm6%2B%2BWazf/9%2B1/wnn3xibrnlFpObm1uGHZ138uRJM3XqVJOenu4ae/31102vXr089nXCGGOcTqdZt26dOXfunGts1apV5o477vDa46k8cYmwDKxevVo9e/ZUu3btNHHiRB0/flyStHfvXgUFBcnPz8%2B1buvWrV2nVffu3avWrVu7bat169ZKSkrSmTNndOjQIbf52rVrq0mTJkpKSiqHrqRPPvlEBw8e1JgxY9zGPbWvqlWratiwYapbt64kKTU1VW%2B88Yb69OkjHx8fj%2B3Lx8dHs2fPVsuWLV1jqampuu6661x9NWzY0NW3JAUHByslJUWnTp26ZF%2BX6tvX11etWrUql%2BfhsGHD1KBBgyLnSlP3kSNHlJWVpeDgYNf8TTfdpOrVq2vv3r1l0EnxXWl/VSSjRo1SnTp1ipwrzfGyf/9%2B%2Bfn5KSgoyDUfHBys06dP6/Dhw2XTzEX8/f21YMECXXvtta6x1NRUBQYGeuzrhCTVrVtXw4YNk8PhkCQdPnxYf/vb39S3b1%2BvPZ7KEwHLYq1atVKbNm20ceNGbdmyRU6nU48%2B%2Bqik8%2B8h8Pf3d1v/mmuukdPpVEFBgZxOp9uLqHT%2BAMjIyNDJkydljLnkfFk7c%2BaM5s6dqyeffFJVq1Z1m/Pkvi4ICQlRZGSkatSooTlz5kjyjr6k8%2B8zW7p0qR588EFJRfd1oc6MjIxL9n2h7sv1bafS1O10OiWp0O39/f0rZF8X7y9PUZrjxel0qnbt2vLx8XGbk%2Bx5DJKSkrRmzRo9%2BOCDXvE6cfToUYWEhKhfv34KDQ3VxIkTvfZ4Kk8OuwvwNBs3btSf/vSnIucWLFig5cuXu5Zr1aqlWbNmqV%2B/fjpy5Mglt3nxi4Yx5rL3f6X5q3Wlvn766SeFhISoc%2BfOxd6mJ/QVHR0tSdqzZ4%2BOHTump59%2BWmPGjNHatWsvuU1P6is5OVljxozR4MGDNWzYMMvqsruvq2XX/iqtilpXSZXm8a8oj8E333yjBx98UJMnT1ZERIQ%2B%2BOCDIterCK8TxdWwYUMlJSXpp59%2B0pNPPnnJY/C/VfS%2B7EbAKqGBAwdq4MCBxV6/YcOGkqS0tDQFBAToxx9/dJt3Op265ppr5Ovrq3r16rmS/8XzAQEBrnWKmq9fv/7VNXORy/WVnJysRYsW6d133y1y3lP7%2Bm/XX3%2B9pk2bpttvv1179%2B71%2BL52796tBx54QPfff7/Gjx/vGg8ICCiyLh8fHwUEBBTZV0ZGhgICAiTpkn23aNGiNC1JKvnxdbHS1H1hHafTqVq1arnmT548acn%2BKo0r7S9PUZrjJSAgQKdOnVJ%2Bfr7rUtyFdctz/%2BzcuVOPP/64Zs6cqUGDBkmq2K9/JeHj46OmTZtq0qRJGj58uLp16%2BaVx1N54hKhhY4ePapZs2YpNzfXNZacnCxJaty4sUJCQnTw4EHl5eW55pOSktS2bVtJ5y9T/ffH3S/MV6tWTS1atHC7fp2ZmakjR46oTZs2ZdmWPvjgA2VlZWnAgAEKDw9XeHi4JCk6OlorV6702L4OHz6sbt26uZ2y9vU9f0hUqVLFY/uSpB9//FHjxo1TfHy8W7i6UHdqaqpOnDjhVnfz5s1Vq1YthYaGFuprz549bn1f3Fd%2Bfr727dvnmrdLaepu3Lix6tat6zb/n//8R7m5uQoJCSmfBi7hSvvLU5TmeGnVqpWMMTpw4IDbbf39/dWsWbNyqf/bb79VfHy8li5d6gpXkjz6deLLL79U79693b7y48JrYJs2bbzyeCpX5fd%2Beu%2BXk5NjunTpYmbPnm2ys7PNsWPHzP/8z/%2B4Ppp69uxZ0717d/P888%2Bb06dPm%2B%2B//9507NjR7Nq1yxhjzMGDB01oaKjZtWuXOXPmjHn77bdNu3btTFpamjHm/CeHIiMjXR/nnTlzphkyZEiZ95WVlWVSU1Pdflq2bGm%2B%2B%2B47k5WV5bF95eXlmf79%2B5vHHnvMnDx50mRlZZmpU6eanj17mrNnz3psX8YYc99995klS5Zccn7YsGFm%2BvTpJisryxw6dMhERUWZNWvWGGOM%2Bf333027du3MunXrzJkzZ8zHH39s2rRp4/oE1yeffGI6dOhgvvvuO3P69GmzbNky061bN5OTk1MuvRljivwUYWnrXrRokRk8eLD59ddfzYkTJ8z48ePNI488Um49Xc7l9ldFVNSnCEt7vMTFxZmxY8ea48ePm9TUVDNkyBCzcOHCcunn3Llzpm/fvuatt94qNOfJrxOZmZkmIiLCLFy40Jw%2BfdocP37cjBkzxowcOdKrj6fyQsCy2IEDB8zo0aNNhw4dTIcOHczUqVPNyZMnXfMHDx40w4cPNyEhISYyMtKsXbvW7fZbt241vXr1MsHBwWbgwIHmX//6l2uuoKDALF261HTq1Mm0adPGPPDAA67vUilvF39NgzGe29cvv/xiJkyYYG655RZz6623mrFjx5pDhw55dF%2B//vqradmypQkODjYhISFuPxfqS01NNWPHjjVt2rQxERER5vnnn3f73p1//etfZsCAASY4ONj06tXL9Z0%2BF6xdu9Z069bNhISEmBEjRrh9JURZ6tWrlwkJCTGtWrUyQUFBrr5%2B%2BeWXUtd99uxZ89RTT5mwsDDTrl0789hjj5nMzMxy6etKrrS/KooL%2B%2BPmm282N998s2v5gtIcL5mZmWbSpEnmlltuMWFhYWb27Nnm7Nmz5dLXV199ZVq2bFnoeLrw3PPE14kLDhw4YO655x7Tpk0bc9ttt5m4uDjXVyl46/FUXnyMqeTvQgMAALAY78ECAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACw2P8H7t2ZhxVa8uEAAAAASUVORK5CYII%3D\"/>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common6254903023112478861\">\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">28.3</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">2327.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">1191.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">3319.3</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">1447.9</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">1672.2</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">1329.9</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">2366.9</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">2507.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">2364.6</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"other\">\n", | |
| " <td class=\"fillremaining\">Other values (91)</td>\n", | |
| " <td class=\"number\">91</td>\n", | |
| " <td class=\"number\">90.1%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"extreme6254903023112478861\">\n", | |
| " <p class=\"h4\">Minimum 5 values</p>\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">-4687.6</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">-4434.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">-4162.6</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">-3923.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">-3806.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " <p class=\"h4\">Maximum 5 values</p>\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">2682.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">2945.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">3007.0</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">3319.3</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">3400.6</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| "</div><div class=\"row variablerow\">\n", | |
| " <div class=\"col-md-3 namecol\">\n", | |
| " <p class=\"h4 pp-anchor\" id=\"pp_var_Changein PublicInventories\">Changein PublicInventories<br/>\n", | |
| " <small>Numeric</small>\n", | |
| " </p>\n", | |
| " </div><div class=\"col-md-6\">\n", | |
| " <div class=\"row\">\n", | |
| " <div class=\"col-sm-6\">\n", | |
| " <table class=\"stats \">\n", | |
| " <tr>\n", | |
| " <th>Distinct count</th>\n", | |
| " <td>99</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Unique (%)</th>\n", | |
| " <td>98.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Infinite (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Infinite (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| "\n", | |
| " </div>\n", | |
| " <div class=\"col-sm-6\">\n", | |
| " <table class=\"stats \">\n", | |
| "\n", | |
| " <tr>\n", | |
| " <th>Mean</th>\n", | |
| " <td>6.7594</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Minimum</th>\n", | |
| " <td>-113.7</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Maximum</th>\n", | |
| " <td>325.1</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Zeros (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| "<div class=\"col-md-3 collapse in\" id=\"minihistogram-4578039974665190208\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAASxJREFUeJzt3cFpw0AQQNE4uKQUkZ58dk8uIj1tGggfW2BrIr93F%2BzlM0IrmNNaa30Af/rc%2BwAw2XnvA%2Bzl63J7%2BJmf6/cTTsJkJggEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAeNv1B1s8ujLBuoT/zwSBcIgJsmUZDtzDBIEgEAgCgSAQCAKBIBAIAoEgEAgCgTDuJt2tOJOMC%2BRItsTuB8dZBDLMK6IS7v0EcgBTX0uPEOJprbX2PgRM5SsWBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIhF%2B0%2BB7QDj6AzQAAAABJRU5ErkJggg%3D%3D\">\n", | |
| "\n", | |
| "</div>\n", | |
| "<div class=\"col-md-12 text-right\">\n", | |
| " <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-4578039974665190208,#minihistogram-4578039974665190208\"\n", | |
| " aria-expanded=\"false\" aria-controls=\"collapseExample\">\n", | |
| " Toggle details\n", | |
| " </a>\n", | |
| "</div>\n", | |
| "<div class=\"row collapse col-md-12\" id=\"descriptives-4578039974665190208\">\n", | |
| " <ul class=\"nav nav-tabs\" role=\"tablist\">\n", | |
| " <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-4578039974665190208\"\n", | |
| " aria-controls=\"quantiles-4578039974665190208\" role=\"tab\"\n", | |
| " data-toggle=\"tab\">Statistics</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#histogram-4578039974665190208\" aria-controls=\"histogram-4578039974665190208\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#common-4578039974665190208\" aria-controls=\"common-4578039974665190208\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#extreme-4578039974665190208\" aria-controls=\"extreme-4578039974665190208\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n", | |
| "\n", | |
| " </ul>\n", | |
| "\n", | |
| " <div class=\"tab-content\">\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-4578039974665190208\">\n", | |
| " <div class=\"col-md-4 col-md-offset-1\">\n", | |
| " <p class=\"h4\">Quantile statistics</p>\n", | |
| " <table class=\"stats indent\">\n", | |
| " <tr>\n", | |
| " <th>Minimum</th>\n", | |
| " <td>-113.7</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>5-th percentile</th>\n", | |
| " <td>-61.5</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Q1</th>\n", | |
| " <td>-18.4</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Median</th>\n", | |
| " <td>0.8</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Q3</th>\n", | |
| " <td>19.2</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>95-th percentile</th>\n", | |
| " <td>114.1</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Maximum</th>\n", | |
| " <td>325.1</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Range</th>\n", | |
| " <td>438.8</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Interquartile range</th>\n", | |
| " <td>37.6</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " <div class=\"col-md-4 col-md-offset-2\">\n", | |
| " <p class=\"h4\">Descriptive statistics</p>\n", | |
| " <table class=\"stats indent\">\n", | |
| " <tr>\n", | |
| " <th>Standard deviation</th>\n", | |
| " <td>59.569</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Coef of variation</th>\n", | |
| " <td>8.8127</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Kurtosis</th>\n", | |
| " <td>9.4308</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Mean</th>\n", | |
| " <td>6.7594</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>MAD</th>\n", | |
| " <td>35.601</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"\">\n", | |
| " <th>Skewness</th>\n", | |
| " <td>2.3102</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Sum</th>\n", | |
| " <td>682.7</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Variance</th>\n", | |
| " <td>3548.4</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Memory size</th>\n", | |
| " <td>888.0 B</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-4578039974665190208\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzt3X1Y1fX9x/EXcJS8A8UGNq1waRaCpqgY6SgqzAwrRdHmlS4zU8rJpaZ5s6w1sQtdNekqbZdt5bVFeFne31xp0h1ry8oOeLMkXY40mHJCGLLgfH9/%2BJN2RFPkk9/z5Twf19Vlfr7H4xs/5ytPv%2BdwCLIsyxIAAACMCbZ7AAAAgOaGwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADCMwAIAADDMZfcAgaKs7ITdI0iSgoODFBHRRsePV8nrteweJ%2BCxH/6DvfAv7If/cPpe/OQn7Wz5fbmCFWCCg4MUFBSk4OAgu0eB2A9/wl74F/bDf7AXF4fAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMMxl9wCAvxr63Ad2j9Aom6ffZPcIAID/xxUsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAw1x2D2CHHj16qEWLFgoKCqpfGz16tBYsWKCCggItXbpUX375pa644gpNnjxZw4cPt3FaAADgNAEZWJK0ZcsWdenSxWettLRUU6dO1bx585Samqpdu3ZpypQp6tq1q%2BLi4myaFAAAOA1PEf6P9evXKzo6WmlpaQoNDVViYqKSk5OVl5dn92gAAMBBAjawli5dqptvvln9%2BvXTggULVFVVpaKiIsXExPjcLiYmRoWFhTZNCQAAnCggnyK84YYblJiYqGeeeUaHDx/W9OnT9eSTT8rj8SgqKsrntu3bt1d5eXmj7r%2B0tFRlZWU%2Bay5Xa0VGRjZ59qYKCQn2%2BRHNh8vFnjYF54Z/YT/8B3txcQIysHJzc%2Bv//5prrtHMmTM1ZcoUxcfHG7v/nJwcn7WMjAxNmzbNyP2bEBbWyu4RYFiHDm3sHqFZ4NzwL%2ByH/2AvGicgA%2BtMXbp0UV1dnYKDg%2BXxeHyOlZeXKyIiolH3l56eruTkZJ81l6u1ysurmjxrU4WEBCssrJUqKqpVV%2Be1exwY5A%2BPLyfj3PAv7If/cPpe2PWPz4ALrD179mjdunWaM2dO/VpxcbFatmyppKQkvfnmmz63LywsVO/evRv1e0RGRjZ4OrCs7IRqa/3ngVlX5/WredB07KcZnBv%2Bhf3wH%2BxF4wTcE6odO3ZUbm6uVqxYof/%2B9786ePCgnn/%2BeaWnp%2Bvuu%2B9WSUmJ8vLyVFNTo/z8fOXn52v06NF2jw0AABwk4AIrKipKK1as0I4dO5SQkKAxY8Zo8ODBmjVrljp27Kjly5dr1apVio%2BP16JFi5Sdna3rrrvO7rEBAICDBNxThJLUv39/vf766%2Bc8tnbt2ks8EQAAaE4C7goWAADAj43AAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMCzgA2vRokXq0aNH/c8LCgqUlpamvn37atiwYVq3bp2N0wEAACdy2T2Anfbu3au1a9fW/7y0tFRTp07VvHnzlJqaql27dmnKlCnq2rWr4uLibJwUAAA4ScBewfJ6vXriiSc0YcKE%2BrX169crOjpaaWlpCg0NVWJiopKTk5WXl2ffoAAAwHEC9grW66%2B/rtDQUKWmpuq5556TJBUVFSkmJsbndjExMdq8eXOj7ru0tFRlZWU%2Bay5Xa0VGRjZtaANCQoJ9fkTz4XKxp03BueFf2A//wV5cnIAMrH//%2B99atmyZXnvtNZ91j8ejqKgon7X27durvLy8Ufefm5urnJwcn7WMjAxNmzbt4gb%2BEYSFtbJ7BBjWoUMbu0doFjg3/Av74T/Yi8YJyMDKysrSiBEj1K1bN/3rX/8yfv/p6elKTk72WXO5Wqu8vMr479VYISHBCgtrpYqKatXVee0eBwb5w%2BPLyTg3/Av74T%2Bcvhd2/eMz4AKroKBAn376qTZs2NDgWIcOHeTxeHzWysvLFRER0ajfIzIyssHTgWVlJ1Rb6z8PzLo6r1/Ng6ZjP83g3PAv7If/YC8aJ%2BACa926dTp27JhuueUWSZJlWZKkhIQEPfDAAw3Cq7CwUL17977kcwIAAOcKuMCaM2eOfvWrX9X//OjRo0pPT9fatWvl9Xq1fPly5eXlafjw4frrX/%2Bq/Px85ebm2jgxAABwmoALrPDwcIWHh9f/vLa2VpLUqVMnSdLy5cv19NNP68knn1Tnzp2VnZ2t6667zpZZAQCAMwVcYJ2pS5cu2r9/f/3P%2B/fv7/PmowAAAI3Fm1oAAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAYRmABAAAY5qjASk5OVk5Ojo4cOWL3KAAAAOfkqMAaOXKkNm3apNtuu00PPvigtm3bptraWrvHAgAA8OGowMrIyNCmTZv0xhtvqHv37lq0aJGSkpKUnZ2tgwcP2j0eAACAJIcF1mk9e/bU7Nmz9c4772ju3Ll64403dOedd2rixIn6/PPP7R4PAAAEOEcG1nfffadNmzZp0qRJmj17tqKiovT444/r%2Buuv14QJE7R%2B/Xq7RwQAAAHMZfcAjVFcXKzVq1frrbfeUlVVlYYMGaI//elPio%2BPr79N//79tXDhQqWmpto4KQAACGSOCqxhw4apa9eumjx5su655x61b9%2B%2BwW2SkpJ0/PhxG6YDAAA4xVGB9eqrr2rAgAHnvd3u3bsvwTQAAABn56jXYPXo0UMPP/yw3n777fq1P/7xj5o0aZI8Ho%2BNkwEAAHzPUYGVlZWlEydOqFu3bvVrN998s7xerxYvXmzjZAAAAN9z1FOE77//vtavX68OHTrUr0VHR2vJkiW66667bJwMAADge466gnXy5EmFhoY2WA8ODlZ1dbUNEwEAADTkqMDq37%2B/Fi9erG%2B//bZ%2B7ZtvvtGTTz7p81YNAAAAdnLUU4Rz587VAw88oBtvvFFt27aV1%2BtVVVWVrrzySr322mt2jwcAACDJYYF15ZVXauPGjXr33Xf11VdfKTg4WF27dtWgQYMUEhJi93gAAACSHBZYktSyZUvddtttdo8BAABwTo4KrMOHD2vp0qX64osvdPLkyQbHt2/fbsNUAAAAvhwVWHPnzlVpaakGDRqk1q1b2z0OAADAWTkqsAoLC7V9%2B3ZFRETYPQoAAMA5OeptGjp27GjsytW%2Bffs0fvx4xcfHKzExUdOnT1dZWZkkqaCgQGlpaerbt6%2BGDRumdevWGfk9AQBAYHBUYE2ePFk5OTmyLKtJ9/Pf//5XDzzwgAYMGKCCggJt2LBBx44d08KFC1VaWqqpU6dqzJgxKigo0Lx587RgwQK53W5DHwUAAGjuHPUU4bvvvqtPPvlEa9asUZcuXRQc7NuHr7/%2B%2BgXdT3V1tTIzM3XvvffK5XIpIiJCt99%2Bu1atWqX169crOjpaaWlpkqTExEQlJycrLy9PcXFxxj8mAADQ/DgqsNq2bauf//znTb6f8PBwjRo1qv7nX375pd58800NHTpURUVFiomJ8bl9TEyMNm/e3OTfFwAABAZHBVZWVpbR%2ByspKdGQIUNUW1ur0aNHa9q0aZo0aZKioqJ8bte%2BfXuVl5df8P2WlpbWv57rNJertSIjI43M3RQhIcE%2BP6L5cLnY06bg3PAv7If/YC8ujqMCSzp1tWnjxo36%2Buuv64Pr008/VZ8%2BfRp9X507d5bb7dY///lP/frXv9Zjjz1mZMbc3Fzl5OT4rGVkZGjatGlG7t%2BEsLBWdo8Awzp0aGP3CM0C54Z/YT/8B3vROI4KrIKCAk2aNEldu3bVoUOHlJWVpcOHD%2Bv%2B%2B%2B/Xc889p1tvvbXR9xkUFKTo6GhlZmZqzJgxSkpKksfj8blNeXl5o94aIj09XcnJyT5rLldrlZdXNXo%2B00JCghUW1koVFdWqq/PaPQ4M8ofHl5NxbvgX9sN/OH0v7PrHp6MC69lnn9WsWbM0fvx49erVS9Kp70%2B4ePFivfDCCxccWAUFBVq4cKE2b95c/0L50z/26tVLW7du9bl9YWGhevfufcFzRkZGNng6sKzshGpr/eeBWVfn9at50HTspxmcG/6F/fAf7EXjOOoJ1X/84x8aO3aspFNXnk674447VFxcfMH3Exsbq8rKSmVnZ6u6ulrHjx/XsmXL1K9fP40dO1YlJSXKy8tTTU2N8vPzlZ%2Bfr9GjRxv/eAAAQPPkqMBq167dWb8HYWlpqVq2bNmo%2B1m5cqUKCws1cOBADRs2TO3atdPvfvc7dezYUcuXL9eqVasUHx%2BvRYsWKTs7W9ddd53JDwUAADRjjnqKsG/fvlq0aJHmz59fv3bw4EE98cQTuvHGGxt1Xz169NBrr7121mP9%2B/fX2rVrmzQrAAAIXI4KrMcff1zjx49XQkKC6urq1LdvX1VXV6t79%2B5avHix3eMBAABIclhgderUSRs2bFB%2Bfr4OHjyoyy67TF27dtVNN93k85osAAAAOzkqsCSpRYsWuu222%2BweAwAA4JwcFVjJyck/eKVq%2B/btl3AaAACAs3NUYN15550%2BgVVXV6eDBw/K7XZr/PjxNk4GAADwPUcF1syZM8%2B6vnXrVn300UeXeBoAAICzc9T7YJ3Lbbfdpo0bN9o9BgAAgKRmElh79uyRZVl2jwEAACDJYU8RjhkzpsFadXW1iouLlZKSYsNEAAAADTkqsKKjoxt8FWFoaKjS0tI0atQom6YCAADw5ajA4t3aAQCAEzgqsN56660Lvu0999zzI04CAABwbo4KrHnz5snr9TZ4QXtQUJDPWlBQEIEFAABs46jA%2BsMf/qCVK1fq4YcfVo8ePWRZlvbv36%2BXX35Z48aNU0JCgt0jAgAAOCuwFi9erBUrVigqKqp%2BrV%2B/frryyis1ceJEbdiwwcbpAAAATnHU%2B2AdOnRI4eHhDdbDwsJUUlJiw0QAAAANOSqwOnfurMWLF6u8vLx%2BraKiQkuXLtVVV11l42QAAADfc9RThHPnztWMGTOUm5urNm3aKDg4WJWVlbrsssv0wgsv2D0eAACAJIcF1qBBg7Rz507l5%2Bfr6NGjsixLUVFRGjx4sNq1a2f3eAAAAJIcFliS1KpVK9166606evSorrzySrvHAQAAaMBRr8E6efKkZs%2BerT59%2Bmjo0KGSTr0G68EHH1RFRYXN0wEAAJziqMDKzs7W3r17tWTJEgUHfz96XV2dlixZYuNkAAAA33NUYG3dulW///3vdccdd9R/0%2BewsDBlZWVp27ZtNk8HAABwiqMCq6qqStHR0Q3WIyIi9J///OfSDwQAAHAWjgqsq666Sh999JEk%2BXzvwS1btuinP/2pXWMBAAD4cNRXEd5333169NFHNXLkSHm9Xr3yyisqLCzU1q1bNW/ePLvHAwAAkOSwwEpPT5fL5dKqVasUEhKil156SV27dtWSJUt0xx132D0eAACAJIcF1vHjxzVy5EiNHDnS7lEAAADOyVGvwbr11lt9XnsFAADgjxwVWAkJCdq8ebPdYwAAAPwgRz1FeMUVV%2Bi3v/2tVqxYoauuukotWrTwOb506VKbJgMAAPieowLrwIED%2BtnPfiZJKi8vt3kaAACAs3NEYGVmZurZZ5/Va6%2B9Vr/2wgsvKCMjw8apAAAAzs4Rr8HasWNHg7UVK1bYMAkAAMD5OSKwzvaVg3w1IQAA8FeOCKzT39j5fGsAAAD%2BwBGBBQAA4CQEFgAAgGGO%2BCrC7777TjNmzDjvGu%2BDBQAA/IEjAis%2BPl6lpaXnXQMAAPAHjgis/33/KwAAAH/Ha7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMI7AAAAAMC9jAKikpUUZGhhISEpSYmKg5c%2BaooqJCkrR3716NGzdO8fHxSklJ0cqVK22eFgAAOEnABtbDDz%2BssLAw7dixQ2vWrNEXX3yhZ555RidPntTkyZM1cOBAvffee3r22We1fPlybdu2ze6RAQCAQwRkYFVUVCg2NlYzZsxQmzZt1KlTJ9177736%2BOOPtXPnTn333XeaMmWKWrdurZ49e2rUqFHKzc21e2wAAOAQjnijUdPCwsKUlZXls3bkyBFFRkaqqKhIPXr0UEhISP2xmJgY5eXlXfD9l5aWqqyszGfN5WqtyMjIpg1uQEhIsM%2BPaD5cLva0KTg3/Av74T/Yi4sTkIF1JrfbrVWrVunFF1/U5s2bFRYW5nO8ffv28ng88nq9Cg4%2B/wMsNzdXOTk5PmsZGRmaNm2a0bmbIiysld0jwLAOHdrYPUKzwLnhX9gP/8FeNE7AB9auXbs0ZcoUzZgxQ4mJidq8efNZbxcUFHTB95menq7k5GSfNZertcrLq5o0qwkhIcEKC2uliopq1dV57R4HBvnD48vJODf8C/vhP5y%2BF3b94zOgA2vHjh2aNWuWFixYoHvuuUeSFBERoUOHDvnczuPxqH379hd09UqSIiMjGzwdWFZ2QrW1/vPArKvz%2BtU8aDr20wzODf/CfvgP9qJxAvYJ1U8%2B%2BUSzZ8/W888/Xx9XkhQbG6v9%2B/ertra2fs3tdqt37952jAkAABwoIAOrtrZW8%2BfP18yZMzVo0CCfY0lJSWrbtq1efPFFVVdXa/fu3Vq9erXGjh1r07QAAMBpAjKwPvvsMxUXF%2Bvpp59WXFycz39lZWV66aWX9OGHH2rAgAGaPn26MjMzdfPNN9s9NgAAcIiAfA1Wv379tH///h%2B8zV/%2B8pdLNA0AAGhuAvIKFgAAwI%2BJwAIAADCMwAIAADCMwAIAADAsIF/kDjRHQ5/7wO4RLtjm6TfZPQIA/Ki4ggUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAYgQUAAGAY34sQl4yTvlceAABNwRUsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwgsAAAAwwI2sN577z0lJiYqMzOzwbFNmzYpNTVVffr00YgRI/T%2B%2B%2B/bMCEAAHAql90D2OHll1/W6tWrdfXVVzc4tnfvXs2ePVs5OTkaOHCgtm7dqkceeURbtmxRp06dbJgWAAA4TUBewQoNDT1nYOXl5SkpKUlJSUkKDQ3V8OHDde2112rdunU2TAoAAJwoIAPr/vvvV7t27c56rKioSDExMT5rMTExcrvdl2I0AADQDATkU4Q/xOPxKDw83GctPDxcBw4cuOD7KC0tVVlZmc%2Bay9VakZGRRmZsipCQYJ8fATu4XP73%2BOPc8C/sh/9gLy4OgXUWlmU16dfn5uYqJyfHZy0jI0PTpk1r0v2aFBbWyu4REMA6dGhj9wjnxLnhX9gP/8FeNA6BdYYOHTrI4/H4rHk8HkVERFzwfaSnpys5OdlnzeVqrfLyKiMzNkVISLDCwlqpoqJadXVeu8dBgPKHc%2BFMnBv%2Bhf3wH07fC7v%2BQUdgnSE2NlaFhYU%2Ba263W8OGDbvg%2B4iMjGzwdGBZ2QnV1vrPA7OuzutX8yCw%2BPNjj3PDv7Af/oO9aByeUD3D6NGj9eGHH2rnzp2qqanR6tWrdejQIQ0fPtzu0QAAgEME5BWsuLg4SVJtba0k6e2335Z06krVtddeqyVLligrK0slJSXq1q2bli9frp/85Ce2zQsAAJwlIAPrfG%2B5kJKSopSUlEs0DQAAaG54ihAAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwl90DoGmGPveB3SMAAIAzcAULAADAMAILAADAMAILAADAMAILAADAMAILAADAML6KEMAl57Svft08/Sa7RwDgMFzBAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIzAAgAAMIyvIgSA8%2BCrHn88/NmiueIKFgAAgGEEFgAAgGEEFgAAgGEEFgAAgGG8yB0AmhmnvXAcPx4nPRaa2xcQcAULAADAMALrLEpKSvTQQw8pISFBt9xyi7Kzs%2BX1eu0eCwAAOARPEZ7Fo48%2Bqp49e%2Brtt9/WsWPHNHnyZF1%2B%2BeX65S9/afdoAADAAbiCdQa32619%2B/Zp5syZateunaKjozVhwgTl5ubaPRoAAHAIrmCdoaioSJ07d1Z4eHj9Ws%2BePXXw4EFVVlaqbdu2572P0tJSlZWV%2Bay5XK0VGRlpfF4AwKXjcnFd4sfS3P5sCawzeDwehYWF%2Baydjq3y8vILCqzc3Fzl5OT4rD3yyCN69NFHzQ36/z7%2B7R2Nun1paalyc3OVnp5O8PkB9sN/sBf%2Bhf0wo7GfI86Gvbg4zSsXDbEsq0m/Pj09XWvWrPH5Lz093dB0TVNWVqacnJwGV9hgD/bDf7AX/oX98B/sxcXhCtYZIiIi5PF4fNY8Ho%2BCgoIUERFxQfcRGRlJ5QMAEMC4gnWG2NhYHTlyRMePH69fc7vd6tatm9q0aWPjZAAAwCkIrDPExMQoLi5OS5cuVWVlpYqLi/XKK69o7Nixdo8GAAAcImThwoUL7R7C3wwePFgbNmzQb37zG23cuFFpaWmaOHGigoKC7B7NiDZt2mjAgAFckfMT7If/YC/8C/vhP9iLxguymvqKbgAAAPjgKUIAAADDCCwAAADDCCwAAADDCCwAAADDCCwAAADDCCwAAADDCCwAAADDCCwAAADDCCwAAADDCKxmzO126/bbb9fo0aMbHCsoKFBaWpr69u2rYcOGad26dT7HX331VQ0ZMkR9%2B/bV2LFjVVhYeKnGDhglJSV66KGHlJCQoFtuuUXZ2dnyer12j9Vsvffee0pMTFRmZmaDY5s2bVJqaqr69OmjESNG6P33368/5vV69eyzz%2BrWW29V//79NXHiRB0%2BfPhSjt7slJSUKCMjQwkJCUpMTNScOXNUUVEhSdq7d6/GjRun%2BPh4paSkaOXKlT6/9of2Co23b98%2BjR8/XvHx8UpMTNT06dNVVlYmic8TTWahWVq7dq2VlJRkTZw40Ro1apTPsW%2B%2B%2Bca64YYbrLy8POvkyZPWBx98YPXq1cv6/PPPLcuyrO3bt1v9%2BvWzPvvsM6u6utpavny5ddNNN1lVVVV2fCjN1r333mvNnz/fqqiosA4ePGilpKRYK1eutHusZmnFihVWSkqKNWbMGGv69Ok%2Bx/bs2WPFxsZaO3futE6ePGmtXbvW6t27t3XkyBHLsizr1VdftW655RbrwIED1okTJ6ynnnrKSk1Ntbxerx0fSrNw1113WXPmzLEqKyutI0eOWCNGjLDmzp1rVVdXW4MHD7aWLVtmVVVVWYWFhdaAAQOsrVu3WpZ1/r1C49TU1Fg33nijlZOTY9XU1FjHjh2zxo0bZ02dOpXPEwZwBauZqqmpUW5urnr37t3g2Pr16xUdHa20tDSFhoYqMTFRycnJysvLkyTl5uZqxIgR6t27ty677DI9%2BOCDkqR33nnnkn4MzZnb7da%2Bffs0c%2BZMtWvXTtHR0ZowYYJyc3PtHq1ZCg0N1erVq3X11Vc3OJaXl6ekpCQlJSUpNDRUw4cP17XXXlv/r/Xc3FxNmDBB11xzjdq2bavMzEwVFxdr9%2B7dl/rDaBYqKioUGxurGTNmqE2bNurUqZPuvfdeffzxx9q5c6e%2B%2B%2B47TZkyRa1bt1bPnj01atSo%2BvPifHuFxqmurlZmZqYmT56sli1bKiIiQrfffru%2B%2BOILPk8YQGA1U6NGjVJUVNRZjxUVFSkmJsZnLSYmpv7y7pnHg4ODdf3118vtdv94AweYoqIide7cWeHh4fVrPXv21MGDB1VZWWnjZM3T/fffr3bt2p312LnOB7fbrZMnT%2BrAgQM%2Bx9u2baurr76a8%2BEihYWFKSsrS5dffnn92pEjRxQZGamioiL16NFDISEh9cd%2B6O%2Bm08fZi4sTHh6uUaNGyeVySZIvLCQ4AAAELUlEQVS%2B/PJLvfnmmxo6dCifJwwgsAKQx%2BNRWFiYz1r79u1VXl5ef/x/P/FLp07E08fRdGfbg9N/5vw5X1o/9Hj/9ttvZVkW58OPyO12a9WqVZoyZco5/27yeDzyer383fQjKSkpUWxsrO68807FxcVp2rRpfJ4wgMByqLVr16pHjx5n/W/NmjVNvn/LsgxMiR/Cn7H/ON9esFc/jl27dmnixImaMWOGEhMTz3m7oKCg%2Bv9nL8zr3Lmz3G63tmzZokOHDumxxx67oF/HXvwwl90D4OLcfffduvvuuy/q13bo0EEej8dnrby8XBEREec87vF41L1794sbFg1ERESc9c84KCiofh9waZzr8R4REaH27dsrODj4rMc7dux4Kcdsdnbs2KFZs2ZpwYIFuueeeySdOi8OHTrkczuPx1O/Dz%2B0V2iaoKAgRUdHKzMzU2PGjFFSUhKfJ5qIK1gBKC4ursGX0xYWFta/ID42NlZFRUX1x%2Brq6rRnz56zvmAeFyc2NlZHjhzR8ePH69fcbre6deumNm3a2DhZ4ImNjW1wPrjdbvXu3VuhoaHq3r27z/lQUVGhr776Sr169brUozYbn3zyiWbPnq3nn3%2B%2BPq6kU3uxf/9%2B1dbW1q%2Bd3ovTx8%2B1V2i8goICDRkyxOftYYKDT2VBr169%2BDzRRARWAEpNTVVJSYny8vJUU1Oj/Px85efn179f1tixY/XWW2/ps88%2BU3V1tV588UW1bNlSN998s72DNyMxMTGKi4vT0qVLVVlZqeLiYr3yyisaO3as3aMFnNGjR%2BvDDz/Uzp07VVNTo9WrV%2BvQoUMaPny4pFPnw6uvvqri4mJVVlZqyZIluv766xUXF2fz5M5UW1ur%2BfPna%2BbMmRo0aJDPsaSkJLVt21YvvviiqqurtXv3bq1evbr%2BvDjfXqFxYmNjVVlZqezsbFVXV%2Bv48eNatmyZ%2BvXrp7Fjx/J5oomCLJ5EbZaGDBmir7/%2BWnV1dfJ6vWrRooUkacuWLercubP%2B/ve/6%2Bmnn1ZxcbE6d%2B6sGTNmKCUlpf7X//nPf9aKFSt07NgxxcXFaeHChbr22mvt%2BnCapaNHj2rBggX629/%2BprZt22rMmDF65JFHfF5vAjNOx9DpKyOnv2rq9Fc8bdu2TUuXLlVJSYm6deumefPmqX///pJOvc5k2bJlev3111VVVaWEhAQ99dRT6tSpkw0fifN9/PHH%2BsUvfqGWLVs2OLZlyxZVVVXpiSeeUGFhoS6//HJNmjRJ9913X/1tfmiv0Hj79%2B/X008/rc8//1ytW7fWwIEDNWfOHEVFRfF5ookILAAAAMN4ihAAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMAwAgsAAMCw/wMSRi6PKpnJUwAAAABJRU5ErkJggg%3D%3D\"/>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-4578039974665190208\">\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">5.9</td>\n", | |
| " <td class=\"number\">2</td>\n", | |
| " <td class=\"number\">2.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:3%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">6.7</td>\n", | |
| " <td class=\"number\">2</td>\n", | |
| " <td class=\"number\">2.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:3%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">27.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">-46.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">45.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">-110.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">33.2</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">-27.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">6.6</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">18.3</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"other\">\n", | |
| " <td class=\"fillremaining\">Other values (89)</td>\n", | |
| " <td class=\"number\">89</td>\n", | |
| " <td class=\"number\">88.1%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"extreme-4578039974665190208\">\n", | |
| " <p class=\"h4\">Minimum 5 values</p>\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">-113.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">-110.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">-80.6</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">-71.0</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">-64.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " <p class=\"h4\">Maximum 5 values</p>\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">117.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">182.6</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">196.0</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">197.0</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">325.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| "</div><div class=\"row variablerow ignore\">\n", | |
| " <div class=\"col-md-3 namecol\">\n", | |
| " <p class=\"h4 pp-anchor\" id=\"pp_var_Consumption ofHouseholds\"><s>Consumption ofHouseholds</s><br/>\n", | |
| " <small>Highly correlated</small>\n", | |
| " </p>\n", | |
| " </div><div class=\"col-md-3\">\n", | |
| " <p><em>This variable is highly correlated with <a href=\"#pp_var_PrivateConsumption\"><code>PrivateConsumption</code></a> and should be ignored for analysis</em></p>\n", | |
| "</div>\n", | |
| "<div class=\"col-md-6\">\n", | |
| " <table class=\"stats \">\n", | |
| " <tr>\n", | |
| " <th>Correlation</th>\n", | |
| " <td>0.99288</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| "</div>\n", | |
| "</div><div class=\"row variablerow ignore\">\n", | |
| " <div class=\"col-md-3 namecol\">\n", | |
| " <p class=\"h4 pp-anchor\" id=\"pp_var_DomesticDemand\"><s>DomesticDemand</s><br/>\n", | |
| " <small>Highly correlated</small>\n", | |
| " </p>\n", | |
| " </div><div class=\"col-md-3\">\n", | |
| " <p><em>This variable is highly correlated with <a href=\"#pp_var_GNI\"><code>GNI</code></a> and should be ignored for analysis</em></p>\n", | |
| "</div>\n", | |
| "<div class=\"col-md-6\">\n", | |
| " <table class=\"stats \">\n", | |
| " <tr>\n", | |
| " <th>Correlation</th>\n", | |
| " <td>0.96003</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| "</div>\n", | |
| "</div><div class=\"row variablerow\">\n", | |
| " <div class=\"col-md-3 namecol\">\n", | |
| " <p class=\"h4 pp-anchor\" id=\"pp_var_ExcludingImputed Rent\">ExcludingImputed Rent<br/>\n", | |
| " <small>Numeric</small>\n", | |
| " </p>\n", | |
| " </div><div class=\"col-md-6\">\n", | |
| " <div class=\"row\">\n", | |
| " <div class=\"col-sm-6\">\n", | |
| " <table class=\"stats \">\n", | |
| " <tr>\n", | |
| " <th>Distinct count</th>\n", | |
| " <td>101</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Unique (%)</th>\n", | |
| " <td>100.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Infinite (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Infinite (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| "\n", | |
| " </div>\n", | |
| " <div class=\"col-sm-6\">\n", | |
| " <table class=\"stats \">\n", | |
| "\n", | |
| " <tr>\n", | |
| " <th>Mean</th>\n", | |
| " <td>59555</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Minimum</th>\n", | |
| " <td>55816</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Maximum</th>\n", | |
| " <td>63505</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Zeros (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| "<div class=\"col-md-3 collapse in\" id=\"minihistogram-5996787456084733286\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAATVJREFUeJzt3MFpw0AQQFHZpCQXkZ58dk8pwj1tzoHwkQxCi/Te3bCXzzDLyrcxxliAf92PPgDM7OvoA/DX4/mz%2BTfv1/cOJ2FZTBBIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgeCpyQlsfZ7iacp6JggEE2RHnzw8ZC4mCASBQBAIBDvIBnaK6zFBIAgEgkAgCASCQCAIBIJr3gvy31vrmSAQBAJBIBAEAkEgEC57i%2BXhIWuYIBAEAkEgEE6xg9gn2IsJAkEgEAQCYbodxD7BTEwQCAKBIBAIAoEw3ZLOeZzh014TBIIJwipXvX43QSDcxhjj6EPArEwQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCL/bWx0LBUlDpwAAAABJRU5ErkJggg%3D%3D\">\n", | |
| "\n", | |
| "</div>\n", | |
| "<div class=\"col-md-12 text-right\">\n", | |
| " <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-5996787456084733286,#minihistogram-5996787456084733286\"\n", | |
| " aria-expanded=\"false\" aria-controls=\"collapseExample\">\n", | |
| " Toggle details\n", | |
| " </a>\n", | |
| "</div>\n", | |
| "<div class=\"row collapse col-md-12\" id=\"descriptives-5996787456084733286\">\n", | |
| " <ul class=\"nav nav-tabs\" role=\"tablist\">\n", | |
| " <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-5996787456084733286\"\n", | |
| " aria-controls=\"quantiles-5996787456084733286\" role=\"tab\"\n", | |
| " data-toggle=\"tab\">Statistics</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#histogram-5996787456084733286\" aria-controls=\"histogram-5996787456084733286\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#common-5996787456084733286\" aria-controls=\"common-5996787456084733286\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#extreme-5996787456084733286\" aria-controls=\"extreme-5996787456084733286\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n", | |
| "\n", | |
| " </ul>\n", | |
| "\n", | |
| " <div class=\"tab-content\">\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-5996787456084733286\">\n", | |
| " <div class=\"col-md-4 col-md-offset-1\">\n", | |
| " <p class=\"h4\">Quantile statistics</p>\n", | |
| " <table class=\"stats indent\">\n", | |
| " <tr>\n", | |
| " <th>Minimum</th>\n", | |
| " <td>55816</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>5-th percentile</th>\n", | |
| " <td>56699</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Q1</th>\n", | |
| " <td>58605</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Median</th>\n", | |
| " <td>59751</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Q3</th>\n", | |
| " <td>60589</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>95-th percentile</th>\n", | |
| " <td>61817</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Maximum</th>\n", | |
| " <td>63505</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Range</th>\n", | |
| " <td>7688.9</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Interquartile range</th>\n", | |
| " <td>1984.3</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " <div class=\"col-md-4 col-md-offset-2\">\n", | |
| " <p class=\"h4\">Descriptive statistics</p>\n", | |
| " <table class=\"stats indent\">\n", | |
| " <tr>\n", | |
| " <th>Standard deviation</th>\n", | |
| " <td>1551.7</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Coef of variation</th>\n", | |
| " <td>0.026055</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Kurtosis</th>\n", | |
| " <td>-0.0089649</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Mean</th>\n", | |
| " <td>59555</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>MAD</th>\n", | |
| " <td>1237.2</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"\">\n", | |
| " <th>Skewness</th>\n", | |
| " <td>-0.23714</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Sum</th>\n", | |
| " <td>6015100</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Variance</th>\n", | |
| " <td>2407900</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Memory size</th>\n", | |
| " <td>888.0 B</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-5996787456084733286\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzt3X1UVXW%2Bx/EPD2mpoVKDlVp6s0w4ID4PpoHkkA/pWD6grW6PlpXp1dHGSXNWjpXOFa9amGZzczKnYmSZFfkUebWybl6bUUHJkuxmDAZLQYQBEfjdP7qePIJK%2BYPtPuf9Woul/n5n7/P9nr3P4ePe5%2BwTZIwxAgAAgDXBThcAAADgbwhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMCyUKcLCBSFhccdu%2B/g4CCFhzfX0aNlqqkxjtXRkOjRP/h7j/7en0SP/sKfevzFLy535H45ghUAgoODFBQUpODgIKdLaTD06B/8vUd/70%2BiR38RCD02NAIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFgW6nQBAHCxG7x4u9Ml/CQbptzsdAlAwOMIFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsCxgA1ZeXp4mTpyoPn36qG/fvvrd736nkpISSVJOTo7uvvtu9ejRQ0lJSXrllVccrhYAALhJwAasRx55RGFhYdqyZYvWrl2rr776Sn/84x9VUVGhCRMm6Je//KU%2B%2BugjLVq0SC%2B99JI2b97sdMkAAMAlAjJglZSUyOPxaNq0aWrevLmuuuoq3XHHHdq5c6e2bt2qkydP6tFHH1WzZs0UFRWl0aNHKy0tzemyAQCASwRkwAoLC9O8efN05ZVXesfy8/MVERGhvXv3qnPnzgoJCfHORUZGKjs724lSAQCAC4U6XcDFICsrS6tXr9ayZcu0YcMGhYWF%2Bcy3atVKxcXFqqmpUXDw%2BTNpQUGBCgsLfcZCQ5spIiLCat31FRIS7POnP6JH/xAIPTaG0FDnHr9A2Ib0iPoI%2BID1%2Beef69FHH9W0adPUt29fbdiwoc7bBQUF1XudaWlpSk1N9RmbOHGiJk%2BefEG1XqiwsMscvf/GQI/%2BIRB6bEitWzd3uoSA2Ib0iHMJ6IC1ZcsWPfHEE5o9e7ZGjBghSQoPD9c333zjc7vi4mK1atWqXkevJCk5OVmJiYk%2BY6GhzVRUVGal7p8qJCRYYWGXqaSkXNXVNY7U0NDo0T8EQo%2BNwanXGikwtiE9uotT/%2BEI2ID1t7/9TTNmzNCSJUvUr18/77jH49Ebb7yhqqoqhYb%2B8PBkZWWpa9eu9V53RERErdOBhYXHVVXl7E5aXV3jeA0NjR79QyD02JAuhscuELYhPeJcAvLkalVVlZ566ilNnz7dJ1xJUnx8vFq0aKFly5apvLxcu3fvVnp6usaNG%2BdQtQAAwG0CMmDt2rVLubm5euaZZxQdHe3zU1hYqOXLl%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%2Brbt6%2BmTp3qM7527VrddNNNio6O9vnZs2ePQ5UCAAC3Ccivynn55ZeVnp6u6667rs75Xr166bXXXmvkqgAAgL8IyCNYTZs2PWfAAgAAuBABeQTrnnvuOed8fn6%2B7r//fmVnZyssLEyTJ0/Wr3/963qvv6CgQIWFhT5joaHNFBER8bPqvVAhIcE%2Bf/ojegTcKTTUfftzIDwXA6HHhhaQAetcwsPD1aFDB/3mN79Rp06d9P777%2Bu3v/2tIiIiFBcXV691pKWlKTU11Wds4sSJmjx5ckOUXG9hYZc5ev%2BNgR4Bd2ndurnTJfxsgfBcDIQeGwoB6wwJCQlKSEjw/nvo0KF6//33tXbt2noHrOTkZCUmJvqMhYY2U1FRmc1S6y0kJFhhYZeppKRc1dU1jtTQ0OgRcCenXhcvRCA8F/2pR6dCPAGrHtq2bavs7Ox63z4iIqLW6cDCwuOqqnJ2J62urnG8hoZGj4C7uHlfDoTnYiD02FA4uXqGN954Q%2BvXr/cZy83NVfv27R2qCAAAuA0B6wyVlZWaO3eusrKydPLkSWVkZOjDDz/U2LFjnS4NAAC4RECeIoyOjpYkVVVVSZIyMzMlSVlZWbrnnntUVlamf/u3f1NhYaHatWunpUuXyuPxOFYvAABwl4AMWFlZWWedCwoK0mOPPabHHnusESsCAAD%2BhFOEAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUBeR0swB8NXrzd6RIAAP/PVUewEhMTlZqaqvz8fKdLAQAAOCtXBayRI0dq/fr1GjhwoMaPH6/Nmzd7v%2B4GAADgYuGqgDVx4kStX79ef/3rX3XDDTfoueeeU3x8vBYsWKCDBw86XR4AAIAklwWsU6KiojRjxgz913/9l2bOnKm//vWvGjJkiB588EHt2bPH6fIAAECAc2XAOnnypNavX6%2BHHnpIM2bMUJs2bfTkk0%2BqS5cuuu%2B%2B%2B/Tuu%2B86XSIAAAhgrvoUYW5urtLT07Vu3TqVlZXptttu06uvvqoePXp4b9OrVy89/fTTGjZsmIOVAgCAQOaqgDV06FB17NhREyZM0IgRI9SqVatat4mPj9fRo0cdqA4AAOAHrgpYq1atUu/evc97u927dzdCNQAAAHVz1XuwOnfurEceeUSZmZnesT//%2Bc966KGHVFxc7GBlAAAAP3JVwJo3b56OHz%2BuTp06eccSEhJUU1Oj%2BfPnO1gZAADAj1x1ivDjjz/Wu%2B%2B%2Bq9atW3vHOnTooJSUFN1%2B%2B%2B0OVgYAAPAjVx3BqqioUNOmTWuNBwcHq7y83IGKAAAAanNVwOrVq5fmz5%2BvY8eOece%2B//57zZkzx%2BdSDQAAAE5y1SnCmTNn6oEHHlBcXJxatGihmpoalZWVqX379nrttdecLg8AAECSywJW%2B/bt9d577%2BnDDz/Ut99%2Bq%2BDgYHXs2FH9%2BvVTSEiI0%2BUBAABIclnAkqQmTZpo4MCBTpcBAABwVq4KWIcOHdLChQv11VdfqaKiotb8Bx984EBVAAAAvlwVsGbOnKmCggL169dPzZo1c7ocAACAOrkqYGVnZ%2BuDDz5QeHi406UAAACclasu03DFFVdw5AoAAFz0XBWwJkyYoNTUVBljnC4FAADgrFx1ivDDDz/U3/72N61du1bt2rVTcLBvPnzzzTcdqgwAAOBHrgpYLVq00C233OJ0GQAAAOfkqoA1b948p0sAAAA4L1e9B0uSvv76a73wwgt68sknvWN///vfHawIAADAl6sC1qeffqrhw4dr8%2BbNysjIkPTDxUfvueceLjIKAAAuGq4KWIsWLdITTzyhd999V0FBQZJ%2B%2BH7C%2BfPna%2BnSpQ5XBwAA8ANXBawvv/xS48aNkyRvwJKkQYMGKTc316myAAAAfLgqYF1%2B%2BeV1fgdhQUGBmjRp4kBFAAAAtbkqYHXv3l3PPfecSktLvWMHDx7UjBkzFBcX52BlAAAAP3LVZRqefPJJ3XvvverTp4%2Bqq6vVvXt3lZeX64YbbtD8%2BfOdLg8AAECSywLWVVddpYyMDG3btk0HDx7UpZdeqo4dO%2Brmm2/2eU8WAACAk1wVsCTpkksu0cCBA50uAwAA4KxcFbASExPPeaSKa2EBAICLgasC1pAhQ3wCVnV1tQ4ePKisrCzde%2B%2B9DlYGAADwI1cFrOnTp9c5vmnTJn322WeNXA0AAEDdXHWZhrMZOHCg3nvvPafLAAAAkOQnAWvfvn0yxjhdBgAAgCSXnSIcO3ZsrbHy8nLl5uYqKSnJgYoAAABqc1XA6tChQ61PETZt2lSjRo3S6NGjHaoKAADAl6sCFldrBwAAbuCqgLVu3bp633bEiBENWAkAwIbBi7c7XcJPsmHKzU6XAJdwVcCaNWuWampqar2hPSgoyGcsKCiIgAUAABzjqoD1pz/9Sa%2B88ooeeeQRde7cWcYY7d%2B/Xy%2B//LLuvvtu9enTx%2BkSAQAA3BWw5s%2BfrxUrVqhNmzbesZ49e6p9%2B/Z68MEHlZGR4WB1AAAAP3DVdbC%2B%2BeYbtWzZstZ4WFiY8vLyHKgIAACgNlcFrLZt22r%2B/PkqKiryjpWUlGjhwoW69tprHawMAADgR646RThz5kxNmzZNaWlpat68uYKDg1VaWqpLL71US5cudbo8AAAASS4LWP369dPWrVu1bds2HT58WMYYtWnTRv3799fll1/udHkAAACSXBawJOmyyy7TrbfeqsOHD6t9%2B/ZOlwMAAFCLq96DVVFRoRkzZqhbt24aPHiwpB/egzV%2B/HiVlJT8pHV99NFH6tu3r6ZOnVprbv369Ro2bJi6deumO%2B%2B8Ux9//LGV%2BgEAQGBwVcBasGCBcnJylJKSouDgH0uvrq5WSkpKvdfz8ssv65lnntF1111Xay4nJ0czZszQ9OnT9d///d%2B677779Pjjj%2Bvw4cNWegAAAP7PVQFr06ZNev755zVo0CDvlz6HhYVp3rx52rx5c73X07RpU6Wnp9cZsNasWaP4%2BHjFx8eradOmGj58uG688Ua988471voAAAD%2BzVXvwSorK1OHDh1qjYeHh%2Buf//xnvddzzz33nHVu7969io%2BP9xmLjIxUVlZWvddfUFCgwsJCn7HQ0GaKiIio9zpsCgkJ9vnTH9EjgMYQGhocEM/FQOixobkqYF177bX67LPP1KdPH5/vHty4caOuueYaK/dRXFxc62KmLVu21IEDB%2Bq9jrS0NKWmpvqMTZw4UZMnT7ZS488VFnaZo/ffGOgRQENq3bq59%2B%2BB8FwMhB4biqsC1l133aVJkyZp5MiRqqmp0cqVK5Wdna1NmzZp1qxZ1u7nzC%2BT/qmSk5OVmJjoMxYa2kxFRWUXtN6fKyQkWGFhl6mkpFzV1TWO1NDQ6BFAYygqKguI56I/9Xh6KG5MrgpYycnJCg0N1erVqxUSEqLly5erY8eOSklJ0aBBg6zcR%2BvWrVVcXOwzVlxcrPDw8HqvIyIiotbpwMLC46qqcnYnra6ucbyGhkaPABrS6c%2B9QHguBkKPDcVVAevo0aMaOXKkRo4c2WD34fF4lJ2d7TOWlZWloUOHNth9AgAA/%2BKqd6/deuutF3z67nzGjBmjTz75RFu3btWJEyeUnp6ub775RsOHD2/Q%2BwUAAP7DVUew%2BvTpow0bNmjIkCEXtJ7o6GhJUlVVlSQpMzNT0g9Hqm688UalpKRo3rx5ysvLU6dOnfTSSy/pF7/4xYUVDwAAAoarAtbVV1%2BtZ599VitWrNC1116rSy65xGd%2B4cKF9VrP%2BS65kJSUpKSkpJ9dJwAACGyuClgHDhzQv/zLv0iSioqKHK4GAACgbq4IWFOnTtWiRYv02muveceWLl2qiRMnOlgVAABA3VzxJvctW7bUGluxYoUDlQAAAJyfKwJWXZ8cbOhPEwIAAPxcrghYp77Y%2BXxjAAAAFwNXBCwAAAA3IWABAABY5opPEZ48eVLTpk0771h9r4MFAADQkFwRsHr06KGCgoLzjgEAAFwMXBGwTr/%2BFQAAwMWO92ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYJkrvosQcMLgxdudLgEA4FIcwQIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMCyUKcLQOAYvHi70yUAANAoOIIFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIwLjdahc%2BfOuuSSSxQUFOQdGzNmjGbPnu1gVQAAwC0IWGexceNGtWvXzukyAACAC3GKEAAAwDIC1lksXLhQCQkJ6tmzp2bPnq2ysjKnSwIAAC7BKcI6xMbGqm/fvvrjH/%2BoQ4cOacqUKZozZ47%2B/d//vV7LFxQUqLCw0GcsNLSZIiIiGqLc8woJCfb5EwDw84SGBgfEa2og9NjQgowxxukiLnbbtm3To48%2Bql27dqlJkybnvf0LL7yg1NRUn7GJEydq8uTJDVWiK/SctdHpEgDggux8dpDTJcAlOIJVD%2B3atVN1dbWOHDmiq6%2B%2B%2Bry3T05OVmJios9YaGgzFRU5c5oxJCRYYWGXqaSkXNXVNY7UAAD%2BoKioLCBeU/2px9atmztyvwSsM%2Bzbt0/vvPOOfve733nHcnNz1aRJk3qf4ouIiKh128LC46qqcnYnra6ucbwGAHCz019DA%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%2BWH369NGAAQO0YMEC1dTUOF0WAABwCb4qpw6TJk1SVFSUMjMzdeTIEU2YMEFXXnml7r//fqdLAwAALsARrDNkZWXpiy%2B%2B0PTp03X55ZerQ4cOuu%2B%2B%2B5SWluZ0aQAAwCU4gnWGvXv3qm3btmrZsqV3LCoqSgcPHlRpaalatGhx3nUUFBSosLDQZyw0tJkiIiKs1wsAgD8IDfWvYz4ErDMUFxcrLCzMZ%2BxU2CoqKqpXwEpLS1NqaqrP2OOPP65JkybZK/T/7Xx20HlvU1BQoLS0NCUnJ/ttyKNH/%2BDvPfp7fxI9%2BotA6LGh%2BVdctMQYc0HLJycna%2B3atT4/ycnJlqr76QoLC5WamlrrqJo/oUf/4O89%2Bnt/Ej36i0DosaFxBOsM4eHhKi4u9hkrLi5WUFCQwsPD67WOiIgIEj8AAAGMI1hn8Hg8ys/P19GjR71jWVlZ6tSpk5o3b%2B5gZQAAwC0IWGeIjIxUdHS0Fi5cqNLSUuXm5mrlypUaN26c06UBAACXCHn66aefdrqIi03//v2VkZGhuXPn6r333tOoUaP04IMPKigoyOnSfrbmzZurd%2B/efn0Ujh79g7/36O/9SfToLwKhx4YUZC70Hd0AAADwwSlCAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWBe5zp07y%2BPxKDo62vszd%2B5cSVJpaalmzJih7t27q1evXpo9e7YqKiq8y65atUq33XabunfvrnHjxik7O9s7d%2BLECf3%2B97/XLbfcoj59%2Bmjy5MkqKiryzufl5enhhx9Wnz59NGDAAC1YsEA1NTWN2uOLL77oMxYdHa2oqCj967/%2Bq9/0KEnr16/XsGHD1K1bNyUmJmrx4sU%2BdfhDjxkZGRo2bJhiY2M1dOhQffzxx97lampqtGjRIt16663q1auXHnzwQR06dMg7X1xcrClTpqhv377q16%2BfZs2a5bOf5%2BTk6O6771aPHj2UlJSkV155pUH6O2XZsmXq16%2BfYmNjdd999%2Bm7776TJH366acaNWqUunfvrqFDh%2Bqdd97xWc4t2/Fs/Rlj9J//%2BZ/yeDx64403fJbxl224Y8cOJScnq3v37kpMTNSLL77os9zpz9U777zT6n7cWD1u2LDB%2B1w8tS9VVVV5l3PLfuoKBhe1G2%2B80Rw6dKjOuUmTJplJkyaZo0ePmvz8fHP//febdevWGWOM%2BeCDD0zPnj3Nrl27THl5uXnppZfMzTffbMrKyowxxsybN8/ceeed5h//%2BIcpKioyjz/%2BuJkwYYJ33XfccYd56qmnTElJiTl48KBJSkoyr7zySqP3eKYHHnjA/OUvfzHG%2BEePX3zxhYmMjDRbtmwxVVVVJjc31/Tr18%2BsXr3ab3rcsWOHiYyMNJs3bzYnTpwwmZmZpnv37iYvL88YY8yqVavMgAEDzIEDB8zx48fNH/7wBzNs2DBTU1NjjDHm8ccfNw8//LA5cuSIOXz4sElOTjZz5841xhhTXl5u%2Bvfvb1544QVTVlZmsrOzTe/evc2mTZsapMfVq1ebQYMGmdzcXHP8%2BHEzd%2B5cM3fuXPP999%2Bb2NhYs2bNGlNRUWG2b99uYmJizJ49e4wx7tmOZ%2BvPGGMeeughM378eBMXF2def/11n%2BX8YRvm5eWZ2NhY8/rrr5vKykqze/du06NHD%2B9r6r59%2B4zH4zFbt241FRUV5u233zZdu3Y1%2Bfn5F/wYNFaPWVlZJiYmxmzdutVUV1eb/fv3m7i4OPPnP//ZGOOe/dQtCFgXubP90vruu%2B9MVFSUKSwsrHO5hx9%2B2Dz33HPef1dXV5ubb77ZZGRkmJMnT5oePXqYzMxM7/yBAwdM586dzeHDh82ePXtMly5dTHFxsXf%2B9ddfN7fddpvFzn5U34C1YcMGM2zYMFNVVWWM8Y8e33rrLRMXF%2BczNmXKFDNz5kxjjH/0OH/%2BfHPvvff6jE2ePNksX77cGGPM0KFDzauvvuqdO378uImMjDR///vfTWFhobnppptMTk6Od37btm0mNjbWVFZWmg0bNphf/vKX3n3CGGMWLFhgHnjgAcvd/SAxMbHOX/x/%2BtOfzIgRI3zGpkyZYmbPnm2Mcc92PFt/xhizdOlSU1NTYwYMGFArYPnDNty9e7d55plnfMYmTZpknnrqKWOMMXPmzDETJ070mR89erR56aWXjDEX9hjYdrYeDxw4YN5//32fsYkTJ5pZs2YZY9yzn7oFpwhdYOHChUpISFDPnj01e/ZslZWV6fPPP9fVV1%2Btt99%2BW/369VP//v2VkpLiPdS7d%2B9eRUZGetcRHBysLl26KCsrS99%2B%2B62OHz%2BuqKgo7/z111%2BvSy%2B9VHv37tXevXvVtm1btWzZ0jsfFRWlgwcPqrS0tNF6PF11dbVSUlI0bdo0hYSE%2BE2PvXv3VkVFhdavX6/Kykp99dVX2rlzpxISEvymR0kKCgryuV3Lli2Vk5OjiooKHThwwKfHFi1a6LrrrlNWVpZycnIUEhKizp07%2B/Twz3/%2BU19//bX27t2rzp07e/cJSYqMjPQ5rWHL999/r%2B%2B%2B%2B07Hjh3TkCFDvKdIjh49Wms7nVmHG7bjufqTpMcee6zWdpTkN9swJiZGs2bN8rl9fn6%2B2rRpI6n2NjxVZ1ZW1gU/Bo3V4/XXX6%2BBAwdK%2BuE19dNPP9XOnTuVlJRUZ48X437qJgSsi1xsbKz69u2rzZs3Ky0tTbt27dKcOXN0%2BPBhff/998rPz9emTZuUmpqq9PR0rV69WtIP5/tP39GlH36pFRUVqbi4WJIUFhbmMx8WFuadP3Pu1LpOP9/e0D2eLiMjQy1atFB8fLx3zB96vOaaa7Rw4ULNnDlT0dHRuv322zV8%2BHD96le/8pseBwwYoM8%2B%2B0yZmZmqrKzU//zP/2jLli06duyYjh07JmPMOXts0aKFzy/203uoq8dWrVqpuLjY%2Bns/Dh8%2BLEnauHGjVq5cqbfffluHDx/WU089ddY6Tj3ObtiO5%2BrvXPyYyIieAAAG90lEQVRlG57ptdde07fffquxY8dKOvc2vNDHoLF7XLdunaKjo/XYY49p6tSpuuWWW87b48Wyn7oJAesil5aWptGjR6tJkya6/vrrNX36dGVkZKiyslLV1dX67W9/q%2BbNm6tr164aPXq0Nm7c6F3WGHPOdZ9r/nzL2nSuHk959dVXfd7cXt86L/Yev/jiCz3xxBOaN2%2Bedu/erbfffluZmZlatWpVveu82HuMjY3V73//ey1YsEBxcXFavXq1RowY4XPEwnYPdR1puVCn6hg/frzatGmjq666SpMmTdKWLVt%2B0vI/Z74xtuO5%2Bjtx4kS9l/%2Bpc2fT2Nvw9B5Xr16tJUuW6MUXX9SVV15Za/nzrf%2BnztlUnx5HjBihPXv26OWXX9aLL76oN998s951Xgw9ugUBy2XatWun6upqBQUFqWnTpmrSpIl3rm3btiosLJQktW7d2vs/jlOKi4sVHh6u8PBw779Pd%2BzYMV1xxRUKDw%2Bvc9mgoCDvsg3pVI9HjhyRJB06dEg5OTkaMGCAz%2B38ocdXX31VMTExGjx4sC699FLddNNNuuuuu7RmzRpJ/tHjkSNHNHbsWG3atEmff/65lixZovLycrVp00atWrVScHBwnXWe6qG0tFTV1dU%2Bc5K882f%2B77i4uNi7XptO/aI9/X/pbdu2lTFGJ0%2BerNVDUVGR93F2w3Y8V3%2Bnnot18ZdteKrHRYsWafny5Vq1apV69Ojhvd25tuGFPgaN3aMkhYaGqmfPnrrrrru8Zz7csJ%2B6CQHrIrZv3z7Nnz/fZyw3N1dNmjRRv379VFZW5vMx4Ly8PF1zzTWSJI/Ho71793rnqqurtW/fPnXt2lXt27dXy5Ytfea//PJLVVZWyuPxyOPxKD8/3/veC0nKyspSp06d1Lx580brMSIiQpL0wQcfqEuXLrWepP7Q4%2BWXX%2B7zoivJ58idP/RYU1OjjIwMn7nt27erW7duatq0qW644QafHkpKSvTtt98qJiZGXbp0kTFGX3zxhU8PYWFh6tixozwej/bv3%2B/zMfOsrCx17drVan%2BSdNVVV6lFixbKycnxjuXl5emSSy5RfHx8rfcMZWdne%2Btww3Y8V3%2Bnnot18ZdtGBERoZUrVyojI0NpaWm13m/l8XhqbeNTdV7oY9BYPb711luaPn26z%2B2DgoIUGhrq7fFi30/dhIB1EbviiiuUlpamFStWqLKyUgcPHtSSJUuUnJysmJgYRUVF6dlnn1VJSYlycnKUnp6ukSNHSpLGjRundevWadeuXSovL9eyZcvUpEkTJSQkKCQkRGPGjNHy5cuVn5%2BvoqIi/cd//Id%2B9atf6corr1RkZKSio6O1cOFClZaWKjc3VytXrtS4ceMatcdTp5BycnLUrl27Wsv6Q4%2B33nqrdu7cqczMTJ08eVJff/211qxZ430Plj/0WFVVpRkzZmjLli2qqqrSsmXLVF5eriFDhnh7XLVqlXJzc1VaWqqUlBR16dJF0dHRCg8P12233abFixfr6NGjOnz4sJYuXapRo0YpNDRU8fHxatGihXedu3fvVnp6eoP0GBoaqlGjRmn58uX63//9Xx05ckRLly7VsGHDdMcddygvL09r1qzRiRMntG3bNm3btk1jxozx9nixb8dz9XfqF/DZ%2BMM2zM/P1/PPP69ly5apbdu2tZYdM2aMPvnkE23dulUnTpxQenq6vvnmGw0fPvyCH4PG6jEuLk4bN27Uxo0bVVVVpa%2B%2B%2Bkpvvvmm9%2ByAG/ZTV2nYDyniQu3YscMkJyeb2NhY07t3bzNv3jxTUVFhjDHmH//4hxk/frzp2rWriYuLMytWrPBec8UYY/7yl7%2BY%2BPh44/F4zLhx48z%2B/fu9cydOnDBPP/206dWrl%2BnWrZv5zW9%2BY0pKSrzz%2Bfn5Zvz48SYmJsb07dvXPP/88z7rbqwejfnh2ldz5sypc1l/6PHdd981t99%2Bu4mNjTUDBgwwKSkp5sSJE37V41tvvWUGDBhgYmJizLhx48yXX37pXa6mpsYsWbLExMXFmZiYGPPQQw95ry1kjDElJSVm6tSpJjY21vTq1cvMmTPH5/HZv3%2B/GTt2rPF4PCYhIcF7nbSGcPrjHRsba2bMmGFKS0u9/Q8fPtxERUWZpKSkWh%2BTd8N2PFt/O3bsMB6Px3g8HnPjjTeayMhI4/F4zP3332%2BM8Y9tmJqaajp37uzt89RPUlKSd9lNmzaZpKQkExUVZX7961%2BbHTt2eOcu9DFojB5P9TBo0CDvY71gwQJXvt64QZAxvCsNAADAJk4RAgAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBl/wdchFqR5FBnOAAAAABJRU5ErkJggg%3D%3D\"/>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-5996787456084733286\">\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">58604.6</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">57846.6</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">57244.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">57767.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">59759.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">58082.2</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">58510.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">59092.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">58840.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">55896.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"other\">\n", | |
| " <td class=\"fillremaining\">Other values (91)</td>\n", | |
| " <td class=\"number\">91</td>\n", | |
| " <td class=\"number\">90.1%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"extreme-5996787456084733286\">\n", | |
| " <p class=\"h4\">Minimum 5 values</p>\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">55816.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">55891.3</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">55896.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">56435.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">56639.6</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " <p class=\"h4\">Maximum 5 values</p>\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">61827.3</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">61913.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">62160.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">62922.0</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">63505.0</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| "</div><div class=\"row variablerow ignore\">\n", | |
| " <div class=\"col-md-3 namecol\">\n", | |
| " <p class=\"h4 pp-anchor\" id=\"pp_var_Final Sales of Domestic Product\"><s>Final Sales of Domestic Product</s><br/>\n", | |
| " <small>Highly correlated</small>\n", | |
| " </p>\n", | |
| " </div><div class=\"col-md-3\">\n", | |
| " <p><em>This variable is highly correlated with <a href=\"#pp_var_GNI\"><code>GNI</code></a> and should be ignored for analysis</em></p>\n", | |
| "</div>\n", | |
| "<div class=\"col-md-6\">\n", | |
| " <table class=\"stats \">\n", | |
| " <tr>\n", | |
| " <th>Correlation</th>\n", | |
| " <td>0.9239</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| "</div>\n", | |
| "</div><div class=\"row variablerow\">\n", | |
| " <div class=\"col-md-3 namecol\">\n", | |
| " <p class=\"h4 pp-anchor\" id=\"pp_var_GDP(Expenditure Approach)\">GDP(Expenditure Approach)<br/>\n", | |
| " <small>Numeric</small>\n", | |
| " </p>\n", | |
| " </div><div class=\"col-md-6\">\n", | |
| " <div class=\"row\">\n", | |
| " <div class=\"col-sm-6\">\n", | |
| " <table class=\"stats \">\n", | |
| " <tr>\n", | |
| " <th>Distinct count</th>\n", | |
| " <td>101</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Unique (%)</th>\n", | |
| " <td>100.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Infinite (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Infinite (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| "\n", | |
| " </div>\n", | |
| " <div class=\"col-sm-6\">\n", | |
| " <table class=\"stats \">\n", | |
| "\n", | |
| " <tr>\n", | |
| " <th>Mean</th>\n", | |
| " <td>129900</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Minimum</th>\n", | |
| " <td>119510</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Maximum</th>\n", | |
| " <td>142770</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Zeros (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| "<div class=\"col-md-3 collapse in\" id=\"minihistogram9001518180482903376\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAATFJREFUeJzt3MFtwkAARcEQpSSKSE8501OKoKelgejJtmR7cWbuSHt5%2BtisuI0xxgfwp8%2BzDwAz%2Bzr7AFd2//ld/Znn43uHk7CVBYEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCK6arLDl6gjvzYJAEAgEgUAQCASBQBAIBIFAEAgEgUAQCIRLXDXx7yHsxYJAEAiES3zF2sLNXJawIBD%2B7YLM6ohl84JiOQsCYboF8WzATCwIhOkWhP35YXU5CwJBIBAEAkEgEDyks8hRr99nexlgQSAIBIJAIAgEgkAgCASCQCAIBIJAIAgEwm2MMc4%2BBMzKgkAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUB4Aa66G9JsMQZvAAAAAElFTkSuQmCC\">\n", | |
| "\n", | |
| "</div>\n", | |
| "<div class=\"col-md-12 text-right\">\n", | |
| " <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives9001518180482903376,#minihistogram9001518180482903376\"\n", | |
| " aria-expanded=\"false\" aria-controls=\"collapseExample\">\n", | |
| " Toggle details\n", | |
| " </a>\n", | |
| "</div>\n", | |
| "<div class=\"row collapse col-md-12\" id=\"descriptives9001518180482903376\">\n", | |
| " <ul class=\"nav nav-tabs\" role=\"tablist\">\n", | |
| " <li role=\"presentation\" class=\"active\"><a href=\"#quantiles9001518180482903376\"\n", | |
| " aria-controls=\"quantiles9001518180482903376\" role=\"tab\"\n", | |
| " data-toggle=\"tab\">Statistics</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#histogram9001518180482903376\" aria-controls=\"histogram9001518180482903376\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#common9001518180482903376\" aria-controls=\"common9001518180482903376\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#extreme9001518180482903376\" aria-controls=\"extreme9001518180482903376\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n", | |
| "\n", | |
| " </ul>\n", | |
| "\n", | |
| " <div class=\"tab-content\">\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles9001518180482903376\">\n", | |
| " <div class=\"col-md-4 col-md-offset-1\">\n", | |
| " <p class=\"h4\">Quantile statistics</p>\n", | |
| " <table class=\"stats indent\">\n", | |
| " <tr>\n", | |
| " <th>Minimum</th>\n", | |
| " <td>119510</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>5-th percentile</th>\n", | |
| " <td>121240</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Q1</th>\n", | |
| " <td>126320</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Median</th>\n", | |
| " <td>128920</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Q3</th>\n", | |
| " <td>133670</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>95-th percentile</th>\n", | |
| " <td>139410</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Maximum</th>\n", | |
| " <td>142770</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Range</th>\n", | |
| " <td>23259</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Interquartile range</th>\n", | |
| " <td>7350.6</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " <div class=\"col-md-4 col-md-offset-2\">\n", | |
| " <p class=\"h4\">Descriptive statistics</p>\n", | |
| " <table class=\"stats indent\">\n", | |
| " <tr>\n", | |
| " <th>Standard deviation</th>\n", | |
| " <td>5678.5</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Coef of variation</th>\n", | |
| " <td>0.043716</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Kurtosis</th>\n", | |
| " <td>-0.38595</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Mean</th>\n", | |
| " <td>129900</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>MAD</th>\n", | |
| " <td>4471.4</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"\">\n", | |
| " <th>Skewness</th>\n", | |
| " <td>0.34937</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Sum</th>\n", | |
| " <td>13119000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Variance</th>\n", | |
| " <td>32246000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Memory size</th>\n", | |
| " <td>888.0 B</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram9001518180482903376\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzt3X98zfX///H7tsNks9lkFAtFYhsVs4z8GCHeCWF0Kam8QytZFFKfiDI1UU2k3v0Q%2BazkE4b8SErq0zt5Y/MrRvH2xk7ZaT9s7Mfr%2B0df59NpM2Mve23n3K6Xyy6c5/N1Xq/H67HX2e57vc5e8zIMwxAAAABM4211AQAAAO6GgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJbFYX4Cns9mxLtuvt7aXgYD%2BdPp2r4mLDkho8EX23Bn2vfPTcGvS9/OrXr2PJdjmD5ea8vb3k5eUlb28vq0vxKPTdGvS98tFza9D3qo%2BABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDKb1QUA8Dx3zttmdQmXZN34TlaXAKCa4QwWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJ3CZgHT9%2BXHFxcYqKilJ0dLQmT56srKwsSdK%2Bfft03333qV27durVq5fefffdC66nuLhYc%2BfOVY8ePRQZGamHH35Yx44dq6zdAAAAbsBtAtaYMWMUEBCgzZs3a8WKFTp48KBmz56t/Px8jR49Wrfddpu2bt2quXPn6q233tKGDRtKXc/SpUu1evVqLVq0SF9%2B%2BaWaNm2quLg4GYZRyXsEAACqK7cIWFlZWQoPD9eECRPk5%2Benhg0bauDAgdq%2Bfbu2bNmigoICjR07VrVr11ZYWJiGDBmi5OTkUteVnJyskSNH6oYbbpC/v7/i4%2BOVnp6uXbt2VfJeAQCA6sotAlZAQIBmzZqlq6%2B%2B2jl24sQJhYSEaM%2BePWrZsqV8fHycc61bt1ZaWlqJ9eTn5%2BvQoUNq3bq1c8zf319NmjRRamrqld0JAADgNmxWF3AlpKamasmSJVqwYIHWrVungIAAl/m6devK4XCouLhY3t7/lzF///13GYahwMBAl%2BUDAwOVmZlZ7u1nZGTIbre7jNlstRUSEnIZe1MxPj7eLv%2BictB392Kz8Xm8EI51a9D3qs/tAtaPP/6osWPHasKECYqOjta6detKXc7Ly%2BuC66jo%2B62Sk5OVlJTkMhYXF6dx48ZVaL0VERBwlWXb9mT03T0EBflZXUKVx7FuDfpedblVwNq8ebOeeuopPffccxowYIAkKTg4WD///LPLcg6HQ3Xr1nU5eyXJOeZwOEosX69evXLXERsbq5iYGJcxm622MjNzL2FvzOHj462AgKuUlZWnoqLiSt%2B%2Bp6Lv7sWK1251wbFuDfpeflb9gOQ2AWvHjh2aNGmSXnvtNXXu3Nk5Hh4ermXLlqmwsFA22x%2B7m5qaqrZt25ZYh6%2Bvr1q0aKE9e/aoQ4cOkv54A/3Ro0fVpk2bctcSEhJS4nKg3Z6twkLrXgRFRcWWbt9T0Xf3wOfw4jjWrUHfqy63uHhbWFioZ599VhMnTnQJV5LUtWtX%2Bfv7a8GCBcrLy9OuXbu0fPlyDR8%2BXJJ06tQp9enTx3mvq%2BHDh2vx4sVKT09XTk6OEhMT1apVK0VERFT6fgEAgOrJLc5g7dy5U%2Bnp6Zo5c6ZmzpzpMvf5559r4cKFev7557Vo0SJdffXVio%2BPV7du3SRJBQUFOnLkiM6dOydJGjZsmOx2u%2B6//37l5uYqKiqqxPupAAAAyuJlcAfNSmG3Z1uyXZvNW0FBfsrMzOU0ciWi72W7c942q0u4JOvGd7K6hCqLY90a9L386tevY8l23eISIQAAQFVCwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADCZzeoCzLR161ZNmjRJUVFRmjt3rnP82Wef1cqVK12WLSoq0t13361Zs2aVWE9MTIwyMjLk5eXlHOvUqZMWLlx45YoHAABuw20C1ttvv63ly5erSZMmJeZmzpypmTNnOh8XFhZqwIAB6tOnzwXX949//ENRUVFXpFYAAODe3OYSoa%2Bv7wUD1l998MEHuvbaa9W1a9dKqAwAAHgatzmDNWLEiHItl5WVpYULF%2Bqjjz4qc7nFixdr6tSp%2Bu2333T77bfr%2BeefV7169cq1jYyMDNntdpcxm622QkJCyvV8M/n4eLv8i8pB392Lzcbn8UI41q1B36s%2BtwlY5bVkyRJFRkaqRYsWF1ymVatWatOmjV5%2B%2BWVlZWVp0qRJeuKJJ7RkyZJybSM5OVlJSUkuY3FxcRo3blyFaq%2BIgICrLNu2J6Pv7iEoyM/qEqo8jnVr0Peqy6MCVlFRkZYuXao5c%2BaUudz8%2BfOd//fz89Pzzz%2Bvvn376ujRo7ruuusuup3Y2FjFxMS4jNlstZWZmXt5hVeAj4%2B3AgKuUlZWnoqKiit9%2B56KvrsXK1671QXHujXoe/lZ9QOSRwWsH374QefOnVP79u0v6XmNGjWS9Melv/IErJCQkBKXA%2B32bBUWWvciKCoqtnT7noq%2Buwc%2BhxfHsW4N%2Bl51edTF2y%2B%2B%2BEK33XabbLYL58rjx4/r%2Beef17lz55xj6enpkqTQ0NArXiMAAKj%2BPCpg7du3T40bNy4xvnHjRt17772SpHr16mnz5s1KSEjQmTNndOrUKc2aNUvdu3dXgwYNKrtkAABQDbnNJcKIiAhJf9zjSpI2bdokSUpNTXUuY7fbdfXVV5d4bnZ2tn755RdJUq1atfTOO%2B8oISFBXbp0kSTdcccdmjJlyhWtHwAAuA8vwzAMq4vwBHZ7tiXbtdm8FRTkp8zMXK7TVyL6XrY7522zuoRLsm58J6tLqLI41q1B38uvfv06lmzXoy4RAgAAVAYCFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACazWV0AAHPcOW%2Bb1SUAAP4/zmABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJjMrQLW1q1bFR0drfj4eJfxFStW6KabblJERITLx%2B7du0tdj8Ph0Pjx4xUdHa3OnTtr6tSpys/Pr4xdAAAAbsBt/lTO22%2B/reXLl6tJkyalzkdGRurDDz8s17qee%2B45nTt3TikpKSooKNATTzyhxMREPfvss2aWDAAA3JTbnMHy9fUtM2CV16%2B//qpNmzYpPj5ewcHBatCggR599FF9%2BumnKigoMKlaAADgztzmDNaIESPKnD9x4oQefPBBpaWlKSAgQOPGjdPdd99dYrl9%2B/bJx8dHLVu2dI6FhYXpzJkzOnz4sMv4hWRkZMhut7uM2Wy1FRISUs69MY%2BPj7fLv6gc9N292Gx8Hi%2BEY90a9L3qc5uAVZbg4GA1bdpUTz75pJo3b66NGzfq6aefVkhIiDp27OiyrMPhkL%2B/v7y8vJxjgYGBkqTMzMxybS85OVlJSUkuY3FxcRo3blwF9%2BTyBQRcZdm2PRl9dw9BQX5Wl1Dlcaxbg75XXR4RsLp166Zu3bo5H/fr108bN27UihUrSgQsSTIMo0Lbi42NVUxMjMuYzVZbmZm5FVrv5fDx8VZAwFXKyspTUVFxpW/fU9F392LFa7e64Fi3Bn0vP6t%2BQPKIgFWaRo0aKS0trcR4cHCwcnJyVFRUJB8fH0l/nNWSpHr16pVr3SEhISUuB9rt2SostO5FUFRUbOn2PRV9dw98Di%2BOY90a9L3q8oiLt8uWLdPatWtdxtLT0xUaGlpi2VatWskwDO3fv985lpqaqoCAADVr1uyK1woAAKo/jwhY586d04wZM5SamqqCggKlpKTo66%2B/1rBhwyRJGzdu1L333ivpjzNYvXv31rx583T69GmdPHlS8%2BfP1%2BDBg2WzeewJPwAAcAncJjFERERIkgoLCyVJmzZtkvTH2acRI0YoNzdXTzzxhOx2uxo3bqz58%2BcrPDxckpSdna1ffvnFua4XXnhBzz//vHr06KEaNWrob3/7W4mblwIAAFyIl1HRd3SjXOz2bEu2a7N5KyjIT5mZuVynr0RW9P3OedsqZTueaN34TlaXUGXxNcYa9L386tevY8l2PeISIQAAQGUiYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYzPKAFRMTo6SkJJ04ccLqUgAAAExhecC65557tHbtWvXs2VOjRo3Shg0bVFhYaHVZAAAAl83ygBUXF6e1a9fq448/VosWLfTSSy%2Bpa9eueuWVV3TkyBGrywMAALhklges88LCwjRp0iR9%2BeWXeuaZZ/Txxx%2Brb9%2B%2Bevjhh7V7926rywMAACi3KhOwCgoKtHbtWv3973/XpEmT1KBBA02ZMkWtWrXSyJEjtXr1aqtLBAAAKBeb1QWkp6dr%2BfLl%2Buyzz5Sbm6vevXvrgw8%2BULt27ZzLREZGatq0abrrrrssrBQAAKB8LA9Y/fr1U7NmzTR69GgNGDBAdevWLbFM165ddfr0aQuqAwAAuHSWB6zFixerQ4cOF11u165dZc5v3bpVkyZNUlRUlObOnesyt2HDBiUlJenYsWMKCQnRww8/rKFDh5a6nvvvv187duyQt/f/XT1t1qyZVq1aVY69AQAAqAIBq2XLlhozZowGDx6snj17SpLef/99bdu2Ta%2B88kqpZ7T%2B6u2339by5cvVpEmTEnO7d%2B/WxIkT9eqrr6pbt27atm2b4uLidP3116t9%2B/alrm/GjBkaNGhQxXYMAAB4LMvf5D5r1ixlZ2erefPmzrFu3bqpuLhYCQkJ5VqHr6/vBQOWw%2BHQ6NGj1bNnT9lsNnXt2lU33nijtm/fbto%2BAAAA/JnlZ7C%2B%2BeYbrV69WkFBQc6xpk2bKjExUX/729/KtY4RI0ZccK5Lly7q0qWL83FhYaHsdrsaNGhwweesXbtW77zzjk6cOKG2bdvqhRde0HXXXVeuWgAAACwPWPn5%2BfL19S0x7u3trby8PNO3l5iYqNq1a6tv376lzt9www266qqrlJiYqOLiYs2cOVOjRo1SSkqKatasWa5tZGRkyG63u4zZbLUVEhJS4fovlY%2BPt8u/qBz03b3YbHweL4Rj3Rr0veqzPGBFRkYqISFBEyZMUGBgoCTp1KlTmj17tsutGirKMAwlJiYqJSVFixcvLjXUSdK0adNcHr/wwguKiorSjz/%2BqI4dO5ZrW8nJyUpKSnIZi4uL07hx4y6rdjMEBFxl2bY9GX13D0FBflaXUOVxrFuDvlddlgesZ555Rg899JA6duwof39/FRcXKzc3V6Ghofrwww9N2UZxcbGmTJmi3bt3a9myZQoNDS33c/39/RUYGKhTp06V%2BzmxsbGKiYlxGbPZaiszM7fc6zCLj4%2B3AgKuUlZWnoqKiit9%2B56KvrsXK1671QXHujXoe/lZ9QOS5QErNDRUa9as0ddff62jR4/K29tbzZo1U%2BfOneXj42PKNl566SUdPHhQy5YtK/O3EnNycpSYmKixY8c636N1%2BvRpnT59%2BpJCWUhISInLgXZ7tgoLrXsRFBUVW7p9T0Xf3QOfw4vjWLcGfa%2B6LA9YklSzZk3nLRrM9uOPP2rVqlVau3ZtqeFq9%2B7devrpp7Vq1Sr5%2B/tr165dmjlzpmbMmCEvLy9Nnz5dLVu21C233HJF6gMAAO7H8oB17NgxzZkzRwcPHlR%2Bfn6J%2BS%2B%2B%2BOKi64iIiJD0x28IStKmTZskSampqfr000%2BVnZ2t7t27uzwnMjJS7777rvLy8nTkyBEZhiFJmj9/vl566SX17t1b586dU8eOHbVo0SKXG48CAACUxcs4nywscv/99ysjI0OdO3dW7dq1S8xPmDDBgqrMZ7dnW7Jdm81bQUF%2ByszM5TRyJbKi73fO21Yp2/FE68Z3srqEKouvMdag7%2BVXv34dS7Zr%2BRmstLQ0ffHFFwoODra6FAAAAFNYft2rXr16pZ65AgAAqK4sD1ijR49WUlKSLL5SCQAAYBrLLxF%2B/fXX2rFjh1asWKHGjRuXeDP5f//3f1tUGQAAwOWxPGD5%2B/u7/K1AAACA6s7ygDVr1iyrSwAAADCV5e/BkqTDhw/rjTfe0JQpU5xj//rXvyysCAAA4PJZHrC%2B%2B%2B479e/fXxs2bFBKSoqkP24%2BOmLEiHLdZBQAAKCqsTxgzZ07V0899ZRWr14tLy8vSX/8fcKEhATNnz/f4uoAAAAuneUB66efftLw4cMlyRmwJKlPnz5KT0%2B3qiwAAIDLZnnAqlOnTql/gzAjI0M1a9a0oCIAAICKsTxg3XrrrXrppZeUk5PjHDty5IgmTZqkjh07WlgZAADA5bH8Ng1TpkzRAw88oKioKBUVFenWW29VXl6eWrRooYSEBKvLAwAAuGSWB6yGDRsqJSVFX331lY4cOaJatWqpWbNm6tSpk8t7sgAAAKoLywOWJNWoUUM9e/a0ugwAAABTWB6wYmJiyjxTxb2w3Med87ZZXcIlWTe%2Bk9UlAACqKcsDVt%2B%2BfV0CVlFRkY4cOaLU1FQ98MADFlYGAABweSwPWBMnTix1fP369fr%2B%2B%2B8ruRoAAICKs/w2DRfSs2dPrVmzxuoyAAAALlmVDVh79%2B6VYRhWlwEAAHDJLL9EOGzYsBJjeXl5Sk9PV69evSyoCAAAoGIsD1hNmzYt8VuEvr6%2BGjx4sIYMGWJRVQAAAJfP8oDF3doBAIC7sTxgffbZZ%2BVedsCAAVewEgAAAHNYHrCmTp2q4uLiEm9o9/Lychnz8vIiYAEAgGrB8t8ifOedd9S5c2ctXbpU27dv1w8//KAlS5aoS5cuevvtt7V7927t3r1bu3btuui6tm7dqujoaMXHx5eYW7t2re666y7dcsstGjRokL755psLrsfhcGj8%2BPGKjo5W586dNXXqVOXn51doPwEAgOew/AxWQkKCFi1apAYNGjjH2rdvr9DQUD388MNKSUkp13refvttLV%2B%2BXE2aNCkxt2/fPk2aNElJSUm67bbbtH79ej322GP6/PPP1bBhwxLLP/fcczp37pxSUlJUUFCgJ554QomJiXr22Wcvf0cBAIDHsPwM1s8//6zAwMAS4wEBATp%2B/Hi51%2BPr63vBgPXJJ5%2Boa9eu6tq1q3x9fdW/f3/deOONWrVqVYllf/31V23atEnx8fEKDg5WgwYN9Oijj%2BrTTz9VQUHBpe0cAADwSJYHrEaNGikhIUGZmZnOsaysLM2ZM0fXXXddudczYsQI1alTp9S5PXv2qHXr1i5jrVu3Vmpqaoll9%2B3bJx8fH7Vs2dI5FhYWpjNnzujw4cPlrgcAAHguyy8RPvPMM5owYYKSk5Pl5%2Bcnb29v5eTkqFatWpo/f74p23A4HCXOkgUGBurQoUOlLuvv7%2B9yb67zz/1zCCxLRkaG7Ha7y5jNVlshISGXWnqF%2Bfh4u/yL8rPZLr9n9N29VORYcHcc69ag71Wf5QGrc%2BfO2rJli7766iudPHlShmGoQYMGuv322y94RupyXMqf3anon%2BhJTk5WUlKSy1hcXJzGjRtXofVWREDAVZZtu7q6I3Gr1SWgiggK8rO6hCqPrzHWoO9Vl%2BUBS5Kuuuoq9ejRQydPnlRoaKjp6w8KCpLD4XAZczgcCg4OLrFscHCwcnJyVFRUJB8fH%2BeyklSvXr1ybS82NlYxMTEuYzZbbWVm5l5O%2BRXi4%2BOtgICrlJWVp6Ki4krfPuAOrHjtVhd8jbEGfS8/q35Asjxg5efn6/nnn9eaNWskSWlpacrKytKTTz6pV199VQEBARXeRnh4uNLS0lzGUlNT1a9fvxLLtmrVSoZhaP/%2B/QoLC3MuGxAQoGbNmpVreyEhISUuB9rt2SostO5FUFRUbOn2geqM187F8TXGGvS96rL84u0rr7yiffv2KTExUd7e/1dOUVGREhMTTdnG0KFD9e2332rLli06e/asli9frp9//ln9%2B/eXJG3cuFH33nuvpD/OYPXu3Vvz5s3T6dOndfLkSc2fP1%2BDBw%2BWzWZ5HgUAANWA5QFr/fr1ev3119WnTx/nG8sDAgI0a9YsbdiwodzriYiIUEREhFauXKnPP//c%2BViSbrzxRiUmJmrWrFlq166dlixZorfeekv169eXJGVnZ%2BuXX35xruuFF15QnTp11KNHD/Xv319t2rQp9ealAAAApbH8lExubq6aNm1aYjw4OFhnzpwp93pKu%2BXCn/Xq1Uu9evUqdW7QoEEaNGiQ83GdOnX06quvlnvbAAAAf2b5GazrrrtO33//vSTX3977/PPPde2111pVFgAAwGWz/AzWvffeq8cff1z33HOPiouL9d577yktLU3r16/X1KlTrS4PAADgklkesGJjY2Wz2bRkyRL5%2BPho4cKFatasmRITE9WnTx%2BrywMAALhklges06dP65577tE999xjdSkAAACmsPw9WD169KjwndMBAACqEssDVlRUlNatW2d1GQAAAKax/BLhNddcoxdffFGLFi3Sddddpxo1arjMz5kzx6LKAAAALo/lAevQoUO6/vrrJUmZmZkWVwMAAFBxlgWs%2BPh4zZ07Vx9%2B%2BKFzbP78%2BYqLi7OqJAAo1Z3ztlldgttaN76T1SUAV4Rl78HavHlzibFFixZZUAkAAIC5LAtYpf3mIL9NCAAA3IFlAev8H3a%2B2BgAAEB1Y/ltGgAAANwNAQsAAMBklv0WYUFBgSZMmHDRMe6DBQAAqhvLAla7du2UkZFx0TEAAIDqxrKA9ef7XwEAALgT3oMFAABgMgIWAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMksu00DzHHnvG1WlwAAAP6CM1gAAAAmI2ABAACYzCMuEf7www966KGHXMYMw1BBQYEOHDjgMv7GG2/ozTfflM3m2povv/xSV1999RWvFQAAVH8eEbAiIyOVmprqMrZw4ULt37%2B/1OXvvvtuJSQkVEZpAADADXlEwPqr//znP3rvvff0P//zP1aXAgAA3JBHBqzXXntN99xzj6699tpS5w8cOKBhw4bpp59%2B0jXXXKMpU6aoc%2BfO5V5/RkaG7Ha7y5jNVlshISEVqhsA3I3NxluBL4ePj7fLv6h6PC5g/fvf/9aGDRu0YcOGUucbNmyo0NBQTZgwQSEhIUpOTtaYMWO0atUqXX/99eXaRnJyspKSklzG4uLiNG7cuArXDwDuJCjIz%2BoSqrWAgKusLgEX4GUYhmF1EZVp9uzZOn36tGbPnl3u5wwZMkSdOnXS%2BPHjy7V8ZZ7BuiNxq%2BnrBIDKsnHi7VaXUC35%2BHgrIOAqZWXlqaio2OpyqjSrQrzHncFav369Jk2adEnPadSokTIyMsq9fEhISIkwZbdnq7CQFwEA/BlfFyumqKiYHlZRHnXxdt%2B%2BfTp%2B/Lg6dep0wWXefPNNfffddy5j6enpCg0NvdLlAQAAN%2BFRAWvv3r2qW7eu/P39Xcb79Omj7du3S5IcDoemT5%2Buw4cP6%2BzZs3r33Xd19OhRDRw40IqSAQBANeRRlwh//fVX1a9fv8T4kSNHdObMGUnShAkTJEkjR46Uw%2BFQ8%2BbN9f7776thw4aVWisAAKi%2BPO5N7lax27OvyHr5Y88AqrN14y/8lg1cmM3mraAgP2Vm5vIerIuoX7%2BOJdv1qDNYAICqpbr9kEggRHl51HuwAAAAKgMBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATGazuoDK0rJlS9WoUUNeXl7OsaFDh%2Bq5554rsezixYu1dOlS2e12tWzZUlOnTlV4eHhllgsAAKoxjwlYkvT555%2BrcePGZS6zefNmvfHGG3rnnXfUsmVLLV68WGPGjNGGDRtUu3btSqoUAABUZ1wi/Ivk5GQNGjRIbdu2Va1atTRq1ChJ0pdffmlxZQAAoLrwqDNYc%2BbM0b/%2B9S/l5OTozjvv1OTJk%2BXn5%2BeyzJ49e9S3b1/nY29vb7Vq1Uqpqanq169fubaTkZEhu93uMmaz1VZISEjFdwIAYBmbrWqcl/Dx8Xb5F1WPxwSsm2%2B%2BWdHR0Zo9e7aOHTum8ePHa/r06Xr55ZddlnM4HAoMDHQZCwwMVGZmZrm3lZycrKSkJJexuLg4jRs37vJ3AABguTsSt1pdgtva/mIfq0swlccErOTkZOf/b7jhBk2cOFFjx47VzJkzVbNmTZdlDcOo0LZiY2MVExPjMmaz1VZmZm6F1gsAgLu6Ut8jg4L8Lr7QFeAxAeuvGjdurKKiIv3222%2B65pprnONBQUFyOBwuyzocDrVo0aLc6w5Mlgx7AAAShklEQVQJCSlxOdBuz1ZhYXHFigYAwE252/dIj7h4u3fvXiUkJLiMpaenq2bNmiWCUHh4uPbs2eN8XFRUpL1796pt27aVUisAAKj%2BPCJg1atXT8nJyVq0aJHOnTunI0eO6LXXXlNsbKx8fHzUp08fbd%2B%2BXZI0fPhwffbZZ9q5c6fy8vK0YMEC1axZU926dbN2JwAAQLXhEZcIGzRooEWLFmnOnDnOwDRw4EDFx8dLko4cOaIzZ85Ikrp06aInn3xS48eP12%2B//aaIiAgtWrRItWrVsnIXAABANeJlVPQd3SgXuz37iqz3znnbrsh6AQCoTOvGd7oi661fv84VWe/FeMQlQgAAgMpEwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAEzmMQHr%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%2B/PkKDw%2B3onQAAFANeRmGYVhdhCew27OvyHrvnLftiqwXAIDKtG58pyuy3vr161yR9V6MR1wiBAAAqEwELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJMRsAAAAExGwAIAADAZAQsAAMBkBCwAAACTEbAAAABMRsACAAAwGQELAADAZAQsAAAAkxGwAAAATEbAAgAAMBkBCwAAwGQELAAAAJN5TMA6fvy4HnnkEUVFRal79%2B565ZVXVFxcXOqyixcvVu/evXXrrbdq%2BPDhSktLq%2BRqAQBAdeYxAevxxx9XgwYNtGnTJr333nvatGmTPvjggxLLbd68WW%2B88YZefvllffvtt%2BrevbvGjBmjM2fOWFA1AACojjwiYKWmpmr//v2aOHGi6tSpo6ZNm2rkyJFKTk4usWxycrIGDRqktm3bqlatWho1apQk6csvv6zssgEAQDVls7qAyrBnzx41atRIgYGBzrGwsDAdOXJEOTk58vf3d1m2b9%2B%2Bzsfe3t5q1aqVUlNT1a9fv3JtLyMjQ3a73WXMZqutkJCQCu4JAADuyWZzr3M%2BHhGwHA6HAgICXMbOh63MzEyXgOVwOFyC2PllMzMzy7295ORkJSUluYw99thjevzxxy%2B19Iva/mKfMuczMjKUnJys2NhYAl4lou/WoO%2BVj55bg75Xfe4VF8tgGMYVWbY0sbGxWrFihctHbGxshdZ5uex2u5KSkkqcUcOVRd%2BtQd8rHz23Bn2v%2BjziDFZwcLAcDofLmMPhkJeXl4KDg13Gg4KCSl22RYsW5d5eSEgIP1EAAODBPOIMVnh4uE6cOKHTp087x1JTU9W8eXP5%2BfmVWHbPnj3Ox0VFRdq7d6/atm1bafUCAIDqzSMCVuvWrRUREaE5c%2BYoJydH6enpeu%2B99zR8%2BHBJUp8%2BfbR9%2B3ZJ0vDhw/XZZ59p586dysvL04IFC1SzZk1169bNwj0AAADVic%2B0adOmWV1EZbj99tuVkpKiGTNmaM2aNRo8eLAefvhheXl5acaMGbrzzjvVpEkTNWnSRP7%2B/nrxxRf1%2Buuv69y5c5ozZ44aNGhg9S5cNj8/P3Xo0KHE2TpcWfTdGvS98tFza9D3qs3LqOg7ugEAAODCIy4RAgAAVCYCFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgJWFbN161ZFR0crPj6%2BxNyGDRvUv39/3XLLLerdu7c%2B/vhjl/nFixerd%2B/euvXWWzV8%2BHClpaU5586ePav/%2Bq//UpcuXRQVFaVx48YpMzPTOX/8%2BHE98sgjioqKUvfu3fXKK6%2BouLjYOf/dd99p8ODBuvXWW9WvXz%2BtWrXqCuy9dS6372%2B88YZatWqliIgIl49ff/1VEn0vS1k9X7p0qXr37q2bb75Zd9xxh/7xj38454qLizV37lz16NFDkZGRevjhh3Xs2DHnvMPh0Pjx4xUdHa3OnTtr6tSpys/Pd87v27dP9913n9q1a6devXrp3Xffddn22rVrddddd%2BmWW27RoEGD9M0331yBvbfO5fZ98uTJzr/rev6jffv2znn6Xray%2Bn5ebm6uunXrpsmTJzvHON6rMQNVxqJFi4xevXoZw4YNM8aPH%2B8yt2vXLiMiIsLYuHGjUVBQYGzZssUICwszfvjhB8MwDOOLL74w2rdvb%2BzcudPIy8sz3nrrLaNTp05Gbm6uYRiGMWvWLGPQoEHGf/7zHyMzM9N47LHHjNGjRzvXP3DgQOPZZ581srKyjCNHjhi9evUy3n33XcMwDOPUqVPGzTffbHzyySdGfn6%2BsW3bNqNNmzbG7t27K6kzV1ZF%2Bv76668bkyZNuuC66Xvpyur5xo0bjQ4dOhi7du0yioqKjB9%2B%2BMH5OTAMw1i8eLHRvXt349ChQ0Z2drbxwgsvGHfddZdRXFxsGIZhPPbYY8Yjjzxi/Pbbb8bJkyeN2NhYY8aMGYZhGEZeXp5x%2B%2B23G2%2B88YaRm5trpKWlGR06dDDWr19vGIZh7N271wgPDze2bNli5OfnGytXrjTatm1rnDhxohK7c%2BVUpO%2BTJk0yXn/99Quum75fWFl9/7NZs2YZ7dq1c/mawvFefXEGqwrx9fXV8uXL1aRJkxJzDodDo0ePVs%2BePWWz2dS1a1fdeOON2r59uyQpOTlZgwYNUtu2bVWrVi2NGjVKkvTll1%2BqsLBQy5cv16OPPqprrrlGdevW1fjx47VlyxadOnVKqamp2r9/vyZOnKg6deqoadOmGjlypJKTkyVJq1evVtOmTTV48GD5%2BvoqOjpaMTEx%2BuSTTyqvOVdQRfpeFvp%2BYWX1PCQkRHPnzlWbNm3k7e2t9u3b64YbbtDBgwcl/XGsjxw5UjfccIP8/f0VHx%2Bv9PR07dq1S7/%2B%2Bqs2bdqk%2BPh4BQcHq0GDBnr00Uf16aefqqCgQFu2bFFBQYHGjh2r2rVrKywsTEOGDHH2/JNPPlHXrl3VtWtX%2Bfr6qn///rrxxhvd5sxhRfpeFvpetrL6ft7%2B/fuVkpKigQMHuoxzvFdfBKwqZMSIEapTp06pc126dFFcXJzzcWFhoex2uxo0aCBJ2rNnj1q3bu2c9/b2VqtWrZSamqqjR48qOztbYWFhzvkbbrhBtWrV0p49e7Rnzx41atRIgYGBzvmwsDAdOXJEOTk5JdYtSa1bt3a5BFmdVaTvknTgwAENGzbMeRnv/Cl2%2Bn5hZfW8TZs2io6OliQVFBRo3bp1OnbsmLp37678/HwdOnTIpS/%2B/v5q0qSJUlNTtW/fPvn4%2BKhly5bO%2BbCwMJ05c0aHDx/Wnj171LJlS/n4%2BDjn/9zTC/U8NTXVtH230uX2/bz//d//1YABA3TLLbdo8ODBzr7R97KV1XdJMgxD06ZNU3x8vAICApzjHO/VGwGrmkpMTFTt2rXVt29fSX%2BcafnzN2pJCgwMVGZmphwOhyS5vHDPPz4//9e58%2Bu60HzdunVd3kvkKf7a94YNGyo0NFSzZ8/Wtm3bNGTIEI0ZM0aHDx%2Bm7xX05ptvqk2bNnrhhReUkJCgm266Sb///rsMwyjzWPf395eXl5fLnFR2Tx0Oh4qLi8t8HXmK0vouSaGhoWrSpIneeustbd26Ve3bt9dDDz1E302QnJwsLy8vDRo0yGWc4716s1ldAC6NYRhKTExUSkqKFi9eLF9fX5e5iz33cuZw4b4PGTJEQ4YMcS43cuRIrVmzRqtWrVKXLl2czy1rvSjdo48%2BqlGjRumbb77RlClTVKNGDec3e7N7%2BudvUJ7%2BOSmt7127dnU5kytJTz31lFJSUrRp0ybVqlWLvl%2Bm3377Ta%2B99pref/99l378Gcd79cQZrGqkuLhYkydP1ubNm7Vs2TJdf/31zrmgoCDnGZPzHA6HgoODFRwc7Hz8Z7///rvq1aun4ODgUp/r5eWl4ODgUtedmZnpXK%2B7K6vvpWnUqJEyMjLouwlq1qypmJgY9e7dWx999JHq1q0rb2/vUvt2vqc5OTkqKipymZPknP/rT%2BcOh8O53rJeR57kr30vjY%2BPj6655hrnsU7fL09CQoIGDBjgcpnvPI736o2AVY289NJLOnjwoJYtW6bQ0FCXufDwcO3Zs8f5uKioSHv37lXbtm0VGhqqwMBAl/mffvpJ586dU3h4uMLDw3XixAmdPn3aOZ%2BamqrmzZvLz89PERERJd73k5aWprZt216hPa1ayur7m2%2B%2Bqe%2B%2B%2B85lLD09XaGhofT9Mk2bNk2JiYkuY15eXrLZbPL19VWLFi1cepqVlaWjR4%2BqTZs2atWqlQzD0P79%2B53zqampCggIULNmzRQeHq4DBw6osLDQZf58T8PDw0v0/M/z7qysvhuGoVmzZrn09dy5czp69KhCQ0PpewWsWrVKy5cvV1RUlKKiovTOO%2B9ozZo1ioqK4niv5ghY1cSPP/6oVatWadGiRapbt26J%2BeHDh%2Buzzz7Tzp07lZeXpwULFqhmzZrq1q2bfHx8NHToUC1cuFAnTpxQZmamXn31Vd1xxx26%2Buqrnfe2mTNnjnJycpSenq733ntPw4cPlyTdddddOn78uD755BOdPXtWX331lb766isNHTq0sttQ6S7Wd4fDoenTp%2Bvw4cM6e/as3n33XR09elQDBw6k75epQ4cO%2Buijj/T999%2BrqKhIO3bs0Jo1a5xvth4%2BfLgWL16s9PR05eTkKDEx0XkvsuDgYPXu3Vvz5s3T6dOndfLkSc2fP1%2BDBw92/haov7%2B/FixYoLy8PO3atUvLly939nzo0KH69ttvtWXLFp09e1bLly/Xzz//rP79%2B1vZkkpRVt%2B9vLz073//W9OnT9epU6eUm5urxMRE1ahRQz179qTvFfDVV19p9erVWrlypVauXKlhw4YpJiZGK1eulMTxXq1V5j0hULbw8HAjPDzcuOmmm4ybbrrJ%2BdgwDGPKlCkuY%2Bc/HnzwQefzly5danTt2tUIDw83hg8fbhw4cMA5d/bsWWPatGlGZGSkccsttxhPPvmkkZWV5Zw/ceKEMWrUKKNNmzZGdHS08frrrzvvs2IYhvHPf/7T6N%2B/vxEWFmb06tXLeR8Vd1CRvufn5xsvvviicfvttxsRERHGwIEDjR07djjXTd9LV1bPDcMwPvroI6N79%2B5GRESEcccddxhvv/22c664uNh47bXXjI4dOxpt2rQx/v73v7vctycrK8uIj483br75ZiMyMtKYPn26cfbsWef8gQMHjGHDhhnh4eFGt27djKVLl7rUtn79eqNXr15GWFiYcffddxv//Oc/r2AnKldF%2Bp6ZmWlMnjzZiI6ONtq0aWPcd999xqFDh5zz9P3CLtb3P/vrvfU43qsvL8PgHW4AAABm4hIhAACAyQhYAAAAJiNgAQAAmIyABQAAYDICFgAAgMkIWAAAACYjYAEAAJiMgAUAAGAyAhYAAIDJCFgAAAAmI2ABAACYjIAFAABgMgIWAACAyf4fk30Lrj60PmkAAAAASUVORK5CYII%3D\"/>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common9001518180482903376\">\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">133337.9</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">119712.9</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">127665.3</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">128367.2</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">126281.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">142560.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">128048.3</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">123398.9</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">121352.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">129954.9</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"other\">\n", | |
| " <td class=\"fillremaining\">Other values (91)</td>\n", | |
| " <td class=\"number\">91</td>\n", | |
| " <td class=\"number\">90.1%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"extreme9001518180482903376\">\n", | |
| " <p class=\"h4\">Minimum 5 values</p>\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">119512.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">119712.9</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">119748.3</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">120578.9</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">120994.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " <p class=\"h4\">Maximum 5 values</p>\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">140992.0</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">141775.0</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">142560.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">142646.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">142771.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| "</div><div class=\"row variablerow ignore\">\n", | |
| " <div class=\"col-md-3 namecol\">\n", | |
| " <p class=\"h4 pp-anchor\" id=\"pp_var_GNI\"><s>GNI</s><br/>\n", | |
| " <small>Highly correlated</small>\n", | |
| " </p>\n", | |
| " </div><div class=\"col-md-3\">\n", | |
| " <p><em>This variable is highly correlated with <a href=\"#pp_var_GDP(Expenditure Approach)\"><code>GDP(Expenditure Approach)</code></a> and should be ignored for analysis</em></p>\n", | |
| "</div>\n", | |
| "<div class=\"col-md-6\">\n", | |
| " <table class=\"stats \">\n", | |
| " <tr>\n", | |
| " <th>Correlation</th>\n", | |
| " <td>0.97156</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| "</div>\n", | |
| "</div><div class=\"row variablerow\">\n", | |
| " <div class=\"col-md-3 namecol\">\n", | |
| " <p class=\"h4 pp-anchor\" id=\"pp_var_Goods & Services (Exports)\">Goods & Services (Exports)<br/>\n", | |
| " <small>Numeric</small>\n", | |
| " </p>\n", | |
| " </div><div class=\"col-md-6\">\n", | |
| " <div class=\"row\">\n", | |
| " <div class=\"col-sm-6\">\n", | |
| " <table class=\"stats \">\n", | |
| " <tr>\n", | |
| " <th>Distinct count</th>\n", | |
| " <td>101</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Unique (%)</th>\n", | |
| " <td>100.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Infinite (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Infinite (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| "\n", | |
| " </div>\n", | |
| " <div class=\"col-sm-6\">\n", | |
| " <table class=\"stats \">\n", | |
| "\n", | |
| " <tr>\n", | |
| " <th>Mean</th>\n", | |
| " <td>17770</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Minimum</th>\n", | |
| " <td>10665</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Maximum</th>\n", | |
| " <td>26074</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Zeros (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| "<div class=\"col-md-3 collapse in\" id=\"minihistogram-8701183966111934699\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAATBJREFUeJzt3NttwkAQQFGMKClF0FO%2B0xNFpKdNA%2BgKo9jeOOc04BXS1SzDYxljjAvw1PXoA8DMbkcf4Dd8fD52ec73132X5zAPEwSCQCAIBIJAIAgEwim2WGzvnU3hGbZ%2BJggEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBN/F2pBfOv59JggEgUCY7oq117XkTNa%2BZq5krzNBIAgEgkAgCATCdG/S2Z5FyOtMEAgCgeCKxWbO8FdBJggEgUAQCASBQBAIBFusFXzA9v%2BYIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQljHGOPoQMCsTBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBMIPiS0b0By6Kg0AAAAASUVORK5CYII%3D\">\n", | |
| "\n", | |
| "</div>\n", | |
| "<div class=\"col-md-12 text-right\">\n", | |
| " <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-8701183966111934699,#minihistogram-8701183966111934699\"\n", | |
| " aria-expanded=\"false\" aria-controls=\"collapseExample\">\n", | |
| " Toggle details\n", | |
| " </a>\n", | |
| "</div>\n", | |
| "<div class=\"row collapse col-md-12\" id=\"descriptives-8701183966111934699\">\n", | |
| " <ul class=\"nav nav-tabs\" role=\"tablist\">\n", | |
| " <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-8701183966111934699\"\n", | |
| " aria-controls=\"quantiles-8701183966111934699\" role=\"tab\"\n", | |
| " data-toggle=\"tab\">Statistics</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#histogram-8701183966111934699\" aria-controls=\"histogram-8701183966111934699\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#common-8701183966111934699\" aria-controls=\"common-8701183966111934699\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#extreme-8701183966111934699\" aria-controls=\"extreme-8701183966111934699\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n", | |
| "\n", | |
| " </ul>\n", | |
| "\n", | |
| " <div class=\"tab-content\">\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-8701183966111934699\">\n", | |
| " <div class=\"col-md-4 col-md-offset-1\">\n", | |
| " <p class=\"h4\">Quantile statistics</p>\n", | |
| " <table class=\"stats indent\">\n", | |
| " <tr>\n", | |
| " <th>Minimum</th>\n", | |
| " <td>10665</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>5-th percentile</th>\n", | |
| " <td>11667</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Q1</th>\n", | |
| " <td>13857</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Median</th>\n", | |
| " <td>17523</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Q3</th>\n", | |
| " <td>21822</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>95-th percentile</th>\n", | |
| " <td>24578</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Maximum</th>\n", | |
| " <td>26074</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Range</th>\n", | |
| " <td>15409</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Interquartile range</th>\n", | |
| " <td>7965.4</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " <div class=\"col-md-4 col-md-offset-2\">\n", | |
| " <p class=\"h4\">Descriptive statistics</p>\n", | |
| " <table class=\"stats indent\">\n", | |
| " <tr>\n", | |
| " <th>Standard deviation</th>\n", | |
| " <td>4426.4</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Coef of variation</th>\n", | |
| " <td>0.2491</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Kurtosis</th>\n", | |
| " <td>-1.276</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Mean</th>\n", | |
| " <td>17770</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>MAD</th>\n", | |
| " <td>3863</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"\">\n", | |
| " <th>Skewness</th>\n", | |
| " <td>0.19984</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Sum</th>\n", | |
| " <td>1794700</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Variance</th>\n", | |
| " <td>19593000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Memory size</th>\n", | |
| " <td>888.0 B</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-8701183966111934699\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzt3Xt4VFWa/v07SUnkVJCoBdM0KoqgJOGMkYAcIgZaBBFwojNeNI004AQiNHRz8ASjQqaB5qfE8cSggA5GaabFiEIjgqiIiqIBEYGmW8FAqiEhEAiQZL1/8KakkkACWUllV30/18UVa63ay%2Bepvdl1s%2BuQMGOMEQAAAKwJD3QBAAAAwYaABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAscwW6gFDh9R6TJIWHhyk6uqGOHClQSYkJcFU1I9h7DPb%2BJHoMBsHenxT8PQZ7f1Lt9HjVVY1rZN3KcAWrloWHhyksLEzh4WGBLqXGBHuPwd6fRI/BINj7k4K/x2DvTwruHglYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJaFbMDatGmTEhISNGnSpHJzhw4d0oMPPqiOHTsqISFB8%2BfPV0lJSQCqBAAAThSSAeull17Sk08%2BqWuuuabcnDFG48ePV4sWLfTRRx9p2bJl2rx5s7Zs2RKASgEAgBOF5C97joyM1IoVK/TUU0/p1KlTfnOff/65fvzxR7322muqV6%2BeGjVqpBUrVgSoUgAA4EQhGbBGjBhx3rmtW7eqTZs2WrBggVauXKlGjRrp3//93zVq1Kgqr5%2BTkyOv1%2Bs35nI1kMfjUUTE2YuGpT%2BDUbD3GOz9SfQYDIK9Pyn4ewz2/qTg7jEkA9aFHDx4UNu2bVOvXr20YcMGffbZZxo/fryuvvpq9evXr0prZGRkKD093W8sJSVFqampvttud32rdddFZXvs%2BvB7AaokNHzx1ADra4bicRpsgr0/Kfh7DPb%2BpODskYBVhjFG0dHRGj16tCSpd%2B/euv322/Xuu%2B9WOWAlJycrMTHRb8zlaqDc3AJFRITL7a6v/PyTKi4OzjfOh0KPdVFuboG1tUJhHwZ7j8HenxT8PQZ7f1Lt9BgV1bBG1q0MAauMq666So0bN/Yba9Gihb7%2B%2Busqr%2BHxeOTxePzGvN5jKir6%2BeApLi7xux2MQqHHuqQmHutQ2IfB3mOw9ycFf4/B3p8UnD0G34ue1XT99dfrxx9/VEHBz1cDDhw4oBYtWgSwKgAA4CQErDISExPldrv1xz/%2BUSdOnNDmzZu1bt06DR06NNClAQAAhwjJlwjj4uIkSUVFRZKkdevWSZKysrJ0%2BeWXa9GiRXr88cd1yy23KDo6WrNmzVK3bt0CVi8AAHCWkAxYWVlZF5xv06aNli9fXkvVAACAYMNLhAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFgWsgFr06ZNSkhI0KRJk857n4KCAvXp00fTpk2rxcoAAIDTuQJdQCC89NJLWrFiha655poL3m/hwoU6fvx4LVUFAACCRUhewYqMjKw0YH333XfKzMzU3XffXYuVAQCAYBCSV7BGjBhxwXljjGbOnKlJkybpp59%2B0rFjxy5q/ZycHHm9Xr8xl6uBPB6PIiLOZtrSn8EoFHqsi1wue493KOzDYO8x2PuTgr/HYO9PCu4eQzJgVSYjI0NhYWEaOnSo0tPTL2n7stulpKQoNTXVd9vtrl/tOuu6UOixLomKamh9zVDYh8HeY7D3J9Vuj10ffq/W/l82fPHUgECXUCXBeJwSsMo4fPiwnn76ab3yyisKCwu7pDWSk5OVmJjoN%2BZyNVBuboEiIsLldtdXfv5JFReX2Ci5zgmFHuui3NwCa2uFwj4M9h6DvT8pNHqsLpvnhZpQG/uwJv7xWRUErDLS0tI0ZMgQtW3b9pLX8Hg88ng8fmNe7zEVFf188BQXl/jdDkah0GNdUhOPdSjsw2DvMdj7k0Kjx0vllMclGPchAauMVatWye12a%2BXKlZKkwsJClZSU6IMPPtCWLVsCXB0AAHACAlYZGzdu9Lv98ssv6%2BDBg5o%2BfXqAKgIAAE4TkgErLi5OklRUVCRJWrdunSQpKytLzZs397tvo0aNVL9%2B/XLjAAAA5xOSASsrK6vK950wYUINVgIAAIJR8H3xBAAAQIARsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFgWsgFr06ZNSkhI0KRJk8rNrV27VoMHD1anTp3Uv39/vfHGGwGoEAAAOJUr0AUEwksvvaQVK1bommuuKTf3zTffaMqUKfrTn/6kPn366OOPP1ZKSoquu%2B46de3aNQDVAgAApwnJK1iRkZHnDVh5eXkaO3as%2BvXrJ5fLpd69e6tNmzb64osvAlApAABwopC8gjVixIjzzvXq1Uu9evXy3S4qKpLX61WzZs2qvH5OTo68Xq/fmMvVQB6PRxERZzNt6c9gFAo91kUul73HOxT2YbD3GOz9SaHRY3XZPC/UhGDehyEZsC7GvHnz1KBBA91xxx1V3iYjI0Pp6el%2BYykpKUpNTfXddrvrW6uxrgqFHuuSqKiG1tcMhX0Y7D0Ge39SaPR4qWrivFATgnEfErDOwxijefPmKTMzU0uXLlVkZGSVt01OTlZiYqLfmMvVQLm5BYqICJfbXV/5%2BSdVXFxiu%2Bw6IRR6rItycwusrRUK%2BzDYewz2/qTQ6LG6bJ4XakJt7MNAhUwCVgVKSko0ffp0ffPNN1q%2BfLlatmx5Udt7PB55PB6/Ma/3mIqKfj54iotL/G4Ho1DosS6picc6FPZhsPcY7P1JodHjpXLK4xKM%2B5CAVYHZs2dr9%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%2Beab6t27t3r37q3IyEgNHjxYbdq00apVq6pTNgAACCGOC1jDhg3T6tWr1a9fP40ePVpr165VUVHRRa0xYsQINW7cuMK5HTt2qF27dn5j7dq1U1ZW1iXXDAAAQovjXiJMSUlRSkqKduzYoczMTM2ePVuzZs3SkCFDNHz4cLVq1apa6%2Bfl5alJkyZ%2BY02aNNGePXuqvEZOTo68Xq/fmMvVQB6PRxERZzNt6c9gFAo91kUul73HOxT2YbD3GOz9SaHRY3XZPC/UhGDeh44LWKViYmIUExOjP/zhD1q9erVmzpypxYsXKyEhQQ899JDat29/yWsbY6pVW0ZGhtLT0/3GUlJSlJqa6rvtdtev1v/DCUKhx7okKqqh9TVrah92ffi9GlkXZ33x1ADff4fC38NQ6PFS1cR5oSYE4z50bMA6c%2BaM/vrXv2rlypX69NNPde2112rChAnKycnRyJEjNWvWLA0aNOii142KilJeXp7fWF5enqKjo6u8RnJyshITE/3GXK4Gys0tUEREuNzu%2BsrPP6ni4pKLrs8JQqHHuig3t8DaWuxDZ%2BNcg1I2zws1oTb2YaBCpuMC1t69e7VixQr95S9/UUFBgfr3768lS5aoS5cuvvt069ZNM2fOvKSAFRsbq%2B3bt/uNZWVlaeDAgVVew%2BPxyOPx%2BI15vcdUVPTzwVNcXOJ3OxiFQo91SU081uxDZ%2BJcg1JOeVyCcR86LmANHDhQrVq10tixYzVkyBA1bdq03H169%2B6tI0eOXNL6//qv/6rhw4drw4YN6t69u95%2B%2B239/e9/1%2BDBg6tbOgAACBGOC1hLly7VzTffXOn9vv766/POxcXFSZLv04fr1q2TdPZKVZs2bTRv3jzNmTNHBw4cUOvWrfXCCy/oqquuslA9AAAIBY4LWG3bttW4ceM0fPhw9evXT5L0yiuv6OOPP9bcuXMrvKJVVmVfuZCUlKSkpCQr9QIAgNDjuM9FzpkzR8eOHVPr1q19Y3369FFJSYnS0tICWBkAAMBZjruC9dFHH%2Bntt99WVFSUb%2Bzaa6/VvHnzdOeddwawMgAAgLMcdwWrsLBQkZGR5cbDw8N18uTJAFQEAADgz3EBq1u3bkpLS9PRo0d9Y4cOHdKsWbP8vqoBAAAgUBz3EuGMGTM0atQode/eXY0aNVJJSYkKCgrUsmVLLVu2LNDlAQAAOC9gtWzZUu%2B8844%2B/PBD/fDDDwoPD1erVq3Us2dPRUREBLo8AAAA5wUsSapXr57vKxoAAADqGscFrB9//FHz58/X7t27VVhYWG7%2B/fffD0BVAAAAP3NcwJoxY4ZycnLUs2dPNWjQINDlAAAAlOO4gLV9%2B3a9//77io6ODnQpAAAAFXLc1zRcccUVXLkCAAB1muMC1tixY5Weni5jTKBLAQAAqJDjXiL88MMP9eWXX2rlypX65S9/qfBw/4z4%2BuuvB6gyAACAsxwXsBo1aqRevXoFuow641f/7%2BNAlwCgjnHSeeHdiT0CXQJQIxwXsObMmRPoEgAAAC7Ice/BkqS//e1vWrhwoaZPn%2B4b%2B%2BqrrwJYEQAAwM8cF7A2b96swYMHa%2B3atcrMzJR09stHR4wYwZeMAgCAOsFxAWvBggX6/e9/r7ffflthYWGSzv5%2BwrS0ND377LMBrg4AAMCBAev777/XfffdJ0m%2BgCVJAwYM0N69ewNVFgAAgI/jAlbjxo0r/B2EOTk5qlevXgAqAgAA8Oe4gNW5c2fNnj1bx48f943t27dPU6dOVffu3QNYGQAAwFmO%2B5qG6dOn69e//rXi4%2BNVXFyszp076%2BTJk7rhhhuUlpYW6PIAAACcF7CaN2%2BuzMxMbdy4Ufv27dPll1%2BuVq1aqUePHn7vyQIAAAgUxwUsSbrsssvUr1%2B/QJcBAABQIccFrMTExAteqeK7sAAAQKA5LmDdcccdfgGruLhY%2B/btU1ZWln79618HsDIAAICzHBewpkyZUuH4mjVrtGXLllquBgAAoDzHfU3D%2BfTr10/vvPOOlbW%2B/fZbjRgxQl27dlWPHj00ZcoUHTlyxMraAAAg%2BAVNwPr2229ljKn2OkVFRRozZow6duyoTz75RJmZmTpy5IhmzpxZ/SIBAEBIcNxLhPfee2%2B5sZMnT2rv3r1KSkqq9vper1der1d33XWX6tWrp3r16un222/X4sWLq702AAAIDY4LWNdee225TxFGRkZq%2BPDhuueee6q9frNmzXTTTTcpIyNDDz30kAoLC7V27Vr16dOn2msDAIDQ4LiAVdPf1h4eHq6FCxdq5MiRWrJkiSTp5ptv1uTJk6u8Rk5Ojrxer9%2BYy9VAHo9HERFnX5Ut/QnY4nLZO6Y4TlFbqnPccpxWzuZ5oSYE8z50XMD6y1/%2BUuX7Dhky5KLXP336tMaNG6cBAwZo3LhxOnHihGbNmqUpU6YoPT29SmtkZGSUu29KSopSU1N9t93u%2BhddG3AhUVENra/JcYqaZuO45Tg9v5o4L9SEYNyHjgtYDz/8sEpKSsq9oT0sLMxvLCws7JIC1ubNm7V//3797ne/U0REhBo3bqzU1FTdddddysvLU9OmTStdIzk5WYmJiX5jLlcD5eYWKCIiXG53feXnn1RxcclF1wecT25ugbW1OE5RW6pz3HKcVs7meaEm1MY%2BDFTIdFzAWrRokRYvXqxx48apbdu2MsZo165deumll3T//fcrPj6%2BWusXFxeXC3CnT5%2B%2BqDU8Ho88Ho/fmNd7TEVFPx88xcUlfreB6qqJ44njFDXNxvHFcXp%2BTnlcgnEfOi5gpaWl6cUXX1SzZs18Y127dlXLli31wAMPKDMzs1rrd%2BrUSQ0aNNDChQs1btw4FRYW6rnnnlO3bt2qdPUKAADAce8q%2B/vf/64mTZqUG3e73Tpw4EC114%2BKitL//M//6Msvv1SvXr1055136vLLL9f8%2BfOrvTYAAAgNjruC1aJFC6Wlpemhhx5SVFSUJCk/P1/PPPOMrr76aiv/j9jYWC1btszKWgAAIPQ4LmDNmDFDkydPVkZGhho2bKjw8HAdP35cl19%2BuZ599tlAlwcAAOC8gNWzZ09t2LBBGzdu1MGDB2WMUbNmzXTrrbeqcePGgS4PAADAeQFLkurXr6/bbrtNBw8eVMuWLQNdDgAAgB/Hvcm9sLBQU6dOVadOnfSrX/1K0tn3YI0ePVr5%2BfkBrg4AAMCBAWvu3LnauXOn5s2bp/Dwn8svLi7WvHnzAlgZAADAWY4LWGvWrNEzzzyjAQMG%2BH7ps9vt1pw5c7R27doAVwcAAODAgFVQUKBrr7223Hh0dLROnDhR%2BwUBAACU4biAdfXVV2vLli2S5PfrbN577z394he/CFRZAAAAPo77FOG//du/acKECRo2bJhKSkr08ssva/v27VqzZo0efvjhQJcHAADgvICVnJwsl8ulV199VREREXr%2B%2BefVqlUrzZs3TwMGDAh0eQAAAM4LWEeOHNGwYcM0bNiwQJcCAABQIce9B%2Bu2227ze%2B8VAABAXeO4gBUfH69333030GUAAACcl%2BNeIvyXf/kXPfXUU3rxxRd19dVX67LLLvObnz9/foAqAwBcrF/9v48DXQJQIxwXsPbs2aPrrrtOkpSbmxvgagAAAMpzTMCaNGmSFixYoGXLlvnGnn32WaWkpASwKgAAgPIc8x6s9evXlxt78cUXA1AJAADAhTkmYFX0yUE%2BTQgAAOoixwSs0l/sXNkYAABAoDkmYAEAADgFAQsAAMAyx3yK8MyZM5o8eXKlY3wPFgAACDTHBKwuXbooJyen0jEAAIBAc0zAOvf7rwAAAOoy3oMFAABgGQELAADAMgIWAACAZQSs83juuefUs2dPdezYUSNHjtT%2B/fsDXRIAAHAIAlYFXnvtNa1atUpLly7VRx99pNatW%2BuVV14JdFkAAMAhHPMpwtq0ePFiTZ06Vdddd50k6ZFHHglwRQAAwEm4glXGoUOHtH//fh09elR33HGH4uPjlZqaqiNHjgS6NAAA4BBcwSrj4MGDkqT33ntPL7/8sowxSk1N1SOPPKL//u//rtIaOTk58nq9fmMuVwN5PB5FRJzNtKU/AVtcLnvHFMcpEBxsnhdqQjCfawhYZRhjJEmjR49Ws2bNJEkTJkzQb3/7W506dUqRkZGVrpGRkaH09HS/sZSUFKWmpvpuu931LVYNSFFRDa2vyXEKONvt8zYFuoQq%2B%2BKpAYEuwSoCVhlXXnmlJMntdvvGWrRoIWOMDh8%2BrF/84heVrpGcnKzExES/MZergXJzCxQRES63u77y80%2BquLjEbvEIabm5BdbW4jgFUNtsnsPOVRP/%2BKwKAlYZzZs3V6NGjbRz507FxMRIkg4cOKDLLrtMHo%2BnSmt4PJ5y9/V6j6mo6OcnquLiEr/bQHXVxPHEcQqgtgTbuSb4XvSsJpfLpeHDh%2Bv555/XP/7xDx0%2BfFjPPvusBg0aJJeLPAoAACpHYqjA5MmTdfr0ad1zzz06c%2BaM%2Bvfvz1c1AACAKiNgVaBevXp6/PHH9fjjjwe6FAAA4EC8RAgAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBKxKzJ49W23btg10GQAAwEEIWBewc%2BdOvfXWW4EuAwAAOAwB6zxKSkr0%2BOOPa%2BTIkYEuBQAAOAwB6zxef/11RUZGatCgQYEuBQAAOIwr0AXURf/85z%2B1cOFCLVu27JK2z8nJkdfr9RtzuRrI4/EoIuJspi39Cdjictk7pjhOAdQ2m%2BewuoCAVYE5c%2BZo6NChat26tfbv33/R22dkZCg9Pd1vLCUlRampqb7bbnf9atcJnOv2eZsCXQIAXLKoqIaBLsEqAlYZmzdv1ldffaXMzMxLXiM5OVmJiYl%2BYy5XA%2BXmFigiIlxud33l559UcXFJdcsFACAo5OYW1Mi6gQpuBKwyVq1apcOHD6tv376SJGOMJCk%2BPl6PPfaYBg4cWOkaHo9HHo/Hb8zrPaaiop8DVXFxid9tAABCWbA9JxKwypg2bZoeeugh3%2B2DBw8qOTlZb731lpo0aRLAygAAgFMQsMpo0qSJX5AqKiqSJDVv3jxQJQEAAIcJrrfs14Bf/vKX2rVrV6DLAAAADkLAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICVgUOHDiglJQUxcfHKyEhQdOmTVN%2Bfn6gywIAAA5BwKrAuHHj5Ha7tX79eq1cuVK7d%2B/Wf/3XfwW6LAAA4BAErDLy8/MVGxuryZMnq2HDhmrevLnuvvtuffHFF4EuDQAAOIQr0AXUNW63W3PmzPEby87OlsfjCVBFAADAaQhYlcjKytKrr76q5557rsrb5OTkyOv1%2Bo25XA3k8XgUEXH2omHpTwAAILlcwfW8SMC6gK1bt%2BrBBx/U5MmTlZCQUOXtMjIylJ6e7jeWkpKi1NRU3223u761OgEAcLqoqIaBLsEqAtZ5rF%2B/Xr///e/16KOPasiQIRe1bXJyshITE/3GXK4Gys0tUEREuNzu%2BsrPP6ni4hKbJQMA4Fi5uQU1sm6gghsBqwJffvmlpk6dqqefflo9e/a86O09Hk%2B592x5vcdUVPRzoCouLvG7DQBAKAu258TgesHTgqKiIj3yyCOaMmXKJYUrAAAAAlYZ27Zt0969e/Xkk08qLi7O78%2BBAwcCXR4AAHAAXiIso2vXrtq1a1egywAAAA7GFSwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsCqwIEDBzRmzBjFx8erb9%2B%2Bmjt3rkpKSgJdFgAAcAhXoAuoiyZMmKCYmBitW7dOhw8f1tixY3XllVfqN7/5TaBLAwAADsAVrDKysrL03XffacqUKWrcuLGuvfZajRw5UhkZGYEuDQAAOARXsMrYsWOHWrRooSZNmvjGYmJitG/fPh0/flyNGjWqdI2cnBx5vV6/MZergTwejyIizmba0p8AAEByuYLreZGAVUZeXp7cbrffWGnYys3NrVLAysjIUHp6ut/Y%2BPHjNWHCBOXk5GjJkkVKTk6Wx%2BOpdr1fPDWg2mvYlpOTo4yMDGs91jXB3p9Ej8Eg2PuTgr/HYO9P8u8xKqphoMuxKrjioiXGmGptn5ycrJUrV/r9SU5OliR5vV6lp6eXu8IVTIK9x2DvT6LHYBDs/UnB32Ow9ycFd49cwSojOjpaeXl5fmN5eXkKCwtTdHR0ldbweDxB%2B68NAABQOa5glREbG6vs7GwdOXLEN5aVlaXWrVurYcPgunwJAABqBgGrjHbt2ikuLk7z58/X8ePHtXfvXr388su67777Al0aAABwiIiZM2fODHQRdc2tt96qzMxMPfHEE3rnnXc0fPhwPfDAAwoLC7OyfsOGDXXzzTcH9RWxYO8x2PuT6DEYBHt/UvD3GOz9ScHbY5ip7ju6AQAA4IeXCAEAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2BdpE2bNikhIUGTJk0qN7d69WoNGjRInTp10tChQ/XRRx/55kpKSrRgwQLddttt6tatmx544AHIzCyDAAANlElEQVT9%2BOOPvvm8vDxNnDhRCQkJ6tmzpx5%2B%2BGEVFhb65nfu3Kn7779fXbp0UVJSkhYvXlzr/a1du1aDBw9Wp06d1L9/f73xxht%2B80uXLlX//v3VuXNn3Xfffdq%2Bfbtv7tSpU3rsscfUq1cvxcfHKzU1Vbm5ub75AwcOaMyYMYqPj1ffvn01d%2B5clZSU1HqPpQoKCtSnTx9NmzbNN%2BaUfShduMdDhw7pwQcfVMeOHZWQkKD58%2Bf7Hmun9Hih/l577TX179/fd5wuW7bMN%2BeU/g4cOKCUlBTFx8crISFB06ZNU35%2BfpVqqMnzUG31%2BN1332nkyJHq2rWrevXqpaeeekqnT5/2bbt582YNHz5cnTt31sCBA7Vq1Sq/tatzLqqtHs%2BVkpKixMREvzEn7McL9XfmzBnNnj1b8fHx6ty5s1JTU5WXl%2Beo/qrNoMpefPFFk5SUZO69914zceJEv7lvv/3WxMbGmg0bNpjCwkLz1ltvmQ4dOpjs7GxjjDFLly41ffv2NXv27DHHjh0z//mf/2kGDRpkSkpKjDHGjB8/3owZM8YcPnzYHDx40CQnJ5snnnjCGGPMyZMnza233moWLlxoCgoKzPbt283NN99s1qxZU2v9ff311yYuLs789a9/NWfOnDEbNmwwMTEx5vPPPzfGGPP%2B%2B%2B%2Bbrl27mm3btpmTJ0%2BaF154wfTo0cMUFBQYY4yZM2eOGTp0qPnpp59Mbm6uGT9%2BvBk7dqxv/bvvvts88sgjJj8/3%2Bzbt88kJSWZxYsXW%2B2vsh7PNWfOHNOlSxczdepU35gT9mFlPZaUlJjhw4ebJ554whw7dszs2bPHDBs2zHzyySeO6fFC/W3YsMF06NDBbNu2zRQXF5tt27aZDh06mA8%2B%2BMAx/RljzJ133mmmTZtmjh8/brKzs83QoUPNjBkzKq2hJs9DtdXj8ePHTY8ePcyf/vQnc%2BrUKbNnzx7Tt29f8%2ByzzxpjjDl06JDp2LGjefPNN01hYaH5%2BOOPTfv27c0333xjjKn%2Buag2ejzX%2BvXrTZcuXUzfvn19Y07ZjxfqLy0tzdx3333m4MGD5vDhw2bixInmhRdecFR/1UXAughLliwx%2Bfn5ZurUqeVO7LNmzTIpKSl%2BY/fcc4/vgBo4cKBZsmSJb%2B7YsWOmXbt25quvvjJer9fceOONZufOnb75jRs3mo4dO5rTp0%2Bbd99919xyyy2mqKjINz937lwzatSoWutv48aNJj093W/s7rvvNs8995wxxpgxY8aY2bNn%2B%2BaKi4tNjx49TGZmpjlz5ozp0qWLWbdunW9%2Bz549pm3btubgwYPmm2%2B%2BMTfddJPJy8vzzf/v//6v6d%2B/v9X%2BKuux1M6dO02PHj3Mk08%2B6RewnLAPK%2Btxy5YtJj4%2B3pw6darCbZ3Q44X6S09PN8OHD/cbu%2Beee3xPzk7o7%2BjRo2batGnG6/X6xpYtW2aSkpIqraEmz0O11eM//vEPM23aNHPmzBnfXFpamvnNb35jjDFm0aJFZsiQIX7rTZw40Tz66KPGmOqdi2qrx1InTpzwhcdzA5YT9uOF%2Bjt58qTp0KGD2b59e4XbOqE/G3iJ8CKMGDFCjRs3rnBux44dateund9Yu3btlJWVpcLCQu3Zs8dvvlGjRrrmmmuUlZWlnTt3KiIiQm3btvXNx8TE6MSJE/rb3/6mHTt2qG3btoqIiPBb%2B9zL3jXdX69evZSSkuK7XVRUJK/Xq2bNmkkq3394eLhuuukmZWVl6YcfftCxY8cUExPjm7/%2B%2But1%2BeWXa8eOHdqxY4datGihJk2a%2BOZjYmK0b98%2BHT9%2BvNZ6lCRjjGbOnKlJkybJ7Xb7xp2yD6UL97h161a1adNGCxYsUHx8vG677TbfS0xO6fFC/d16663as2ePtmzZotOnT%2Burr77S3r171bNnT8f053a7NWfOHF155ZW%2BsezsbHk8nkprqMnzUG31ePXVV2vOnDlyuVx%2Bc%2Bc715T2eL7H4GLORbXVY6n09HR169ZNXbp08dvWCfuxsuO0qKhIu3fv1m233abu3bvrkUce0YkTJxzTnw0ELEvy8vL8AoIkNWnSRLm5uTp69KiMMeedz8vLU6NGjRQWFuY3J8k3f%2B6TvSQ1bdpUeXl5NfY%2BpcrMmzdPDRo00B133CHpwv2Xvu5etge3233e/s7tvzZlZGQoLCxMQ4cO9RsPln148OBBbdu2TVdccYU2bNigxx57TAsWLNC6deuCosf27dtr%2BvTpGjVqlOLi4nT//fdr4sSJat%2B%2BvWP7y8rK0quvvqoHH3yw0hpq8jxUk87tsaz3339fH3zwgUaNGiVJ530MSmuszrmoJpXt8fvvv9f//d//6Q9/%2BEO5%2BzpxP57b36FDhySdfa/kn//8Z7366qv67LPPtGDBAsf2dykIWBYZYy55vrJtK3LuAVZbjDGaO3euMjMz9dxzzykyMtJvrrJtL2Wuthw%2BfFhPP/20Zs6ced7H1un70Bij6OhojR49WvXr11fv3r11%2B%2B2369133/W7z4W2v1i12eOnn36q%2BfPna9GiRfrmm2%2B0ZMkSPf/881q3bp3vPk7qb%2BvWrXrggQc0efJkJSQkVKkGp/09vFCPa9eu1ZQpU/THP/5RN9xwQ5XXrM5jUBPK9lh6pXz8%2BPG64oorLqnGurQfK%2BrvzJkzmjhxopo2barrr79eo0aNqvJ5prL5uvB8URUELEuioqL8PiEhnU3p0dHRatq0qcLDwyucv%2BKKKxQdHa3jx4%2BruLjYb06Sb75sMs/Ly/OtW1tKSko0bdo0rV%2B/XsuXL9d1113nm7tQ/9HR0b7b5zp69Kivv4q2DQsL821bG9LS0jRkyBC/S8%2BlgmUfXnXVVeVeXmvRooW8Xm9Q9Lh8%2BXIlJSWpe/fuioyMVNeuXTVw4ECtWLHCcf2tX79eY8aM0YwZMzRixAhJqrSGmjwP1YSKeiyVkZGhhx9%2BWAsXLlT//v194xX1mJub6ztXVOdcVBMq6nHFihUqKirSvffeW%2BE2TtqPFfVX%2BrLhueeaFi1a6MiRIzLGOKq/6iBgWRIbG1vuvRhZWVnq0KGDIiMjdcMNN/i9xp%2Bfn68ffvhB7du310033SRjjL777ju/bd1ut1q1aqXY2Fjt2rVLRUVF5dauTbNnz9bu3bu1fPlytWzZ0m8uNjbWr7/i4mJ9%2B%2B236tChg1q2bKkmTZr4zX///fc6ffq0YmNjFRsbq%2BzsbB05csQ3n5WVpdatW6thw4Y139j/b9WqVVqxYoXi4%2BMVHx%2BvRYsW6Z133lF8fHzQ7MPrr79eP/74owoKCnxjBw4cUIsWLYKix5KSEr8TryTfx/ud1N%2BXX36pqVOn6umnn9aQIUN845XVUJPnodrqUZLee%2B89LViwQEuXLlXPnj395uLi4sr1uH37dr/H4FLPRbadr8dVq1Zp9%2B7d6t69u%2BLj4/Uf//Efys7OVnx8vLZu3eqY/Xi%2B/q6//nqFhYVp586dvrEDBw6oefPmCgsLc0x/1VZDb54PahV9emnXrl0mLi7OfPDBB6awsNC8%2BeabplOnTiYnJ8cYc/ZTcX369PF97PTRRx81w4YN820/ceJEM3r0aHP48GGTnZ1thg0bZtLS0owxxpw6dcr07dvXPPPMM%2BbEiRNm27ZtpmvXrr6PntdGf1988YXp1q2b3ydGzrVx40bTpUsX89VXX5kTJ06YhQsXmt69e5uTJ08aY85%2B0unuu%2B82P/30kzly5IgZO3asmTBhgm/7e%2B65x8yYMcP31QGJiYnm1VdfrZH%2Bztdjdna235/Zs2eb1NRU30eHnbQPz9dj6cf8H3vsMVNQUGA%2B%2BeQTExcXZz777DPH9VhRfytXrjSdO3c2n3/%2BuTlz5oz5%2Buuvzc0332xWrFjhmP7OnDljfvWrX5nXX3%2B93FxlNdTkeai2eszPzzfx8fHmww8/rHDbf/7zn6ZTp07mjTfeMIWFhWbDhg2mffv2vk%2BVVfdcVBs9lj6%2BpX9Wr15tevXqZbKzs82pU6ccsR8v1J8xxqSkpJjhw4ebnJwc88MPP5ikpCSzcOFCY4xzjtPqImBdhNjYWBMbG2tuvPFGc%2BONN/pul1qzZo1JSkoyMTEx5q677vI9aRlz9vuHnn76adO9e3fTvn1789vf/tb3xG3M2ZPKpEmTTMeOHU23bt3MrFmz/D5Kv2vXLnPvvfea2NhY06dPH/Paa6/Van/Tp0/3Gyv9U/rRaWOMee2110zv3r1NbGysue%2B%2B%2B8yuXbt8c6dOnTIzZ8403bp1M506dTK/%2B93vTH5%2Bvm8%2BOzvbjB492rRv394kJCSYZ555xvedJ7XVY1nPPPOM39c0OGEfVqXH0jri4uJM7969zcqVKx3VY2X9vfLKKyYpKcl06NDBJCUlmUWLFvmOJSf09/nnn5s2bdqU%2B7sWGxtr9u/fX2kNNXkeqo0eV65ced65Up999pkZPHiwiYmJMUlJSeW%2Bi6w656La6HH//v1%2B9/3000/9vqbBmLq/Hyvr7%2BjRo2bSpEmmU6dOpmvXriYtLc3vaxTqen82hBnjkHeLAQAAOATvwQIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAy/4/zSfPYZRLbpAAAAAASUVORK5CYII%3D\"/>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-8701183966111934699\">\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">16888.6</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">15660.0</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">18870.3</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">14265.9</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">24022.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">17602.2</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">17377.6</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">13739.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">23312.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">22787.3</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"other\">\n", | |
| " <td class=\"fillremaining\">Other values (91)</td>\n", | |
| " <td class=\"number\">91</td>\n", | |
| " <td class=\"number\">90.1%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"extreme-8701183966111934699\">\n", | |
| " <p class=\"h4\">Minimum 5 values</p>\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">10665.0</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">10981.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">11235.3</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">11245.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">11249.3</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " <p class=\"h4\">Maximum 5 values</p>\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">24849.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">24969.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">25393.2</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">25733.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">26074.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| "</div><div class=\"row variablerow ignore\">\n", | |
| " <div class=\"col-md-3 namecol\">\n", | |
| " <p class=\"h4 pp-anchor\" id=\"pp_var_Goods & Services (Imports)\"><s>Goods & Services (Imports)</s><br/>\n", | |
| " <small>Highly correlated</small>\n", | |
| " </p>\n", | |
| " </div><div class=\"col-md-3\">\n", | |
| " <p><em>This variable is highly correlated with <a href=\"#pp_var_Goods & Services (Exports)\"><code>Goods & Services (Exports)</code></a> and should be ignored for analysis</em></p>\n", | |
| "</div>\n", | |
| "<div class=\"col-md-6\">\n", | |
| " <table class=\"stats \">\n", | |
| " <tr>\n", | |
| " <th>Correlation</th>\n", | |
| " <td>0.95338</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| "</div>\n", | |
| "</div><div class=\"row variablerow\">\n", | |
| " <div class=\"col-md-3 namecol\">\n", | |
| " <p class=\"h4 pp-anchor\" id=\"pp_var_Goods & Services (Net Exports)\">Goods & Services (Net Exports)<br/>\n", | |
| " <small>Numeric</small>\n", | |
| " </p>\n", | |
| " </div><div class=\"col-md-6\">\n", | |
| " <div class=\"row\">\n", | |
| " <div class=\"col-sm-6\">\n", | |
| " <table class=\"stats \">\n", | |
| " <tr>\n", | |
| " <th>Distinct count</th>\n", | |
| " <td>101</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Unique (%)</th>\n", | |
| " <td>100.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Infinite (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Infinite (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| "\n", | |
| " </div>\n", | |
| " <div class=\"col-sm-6\">\n", | |
| " <table class=\"stats \">\n", | |
| "\n", | |
| " <tr>\n", | |
| " <th>Mean</th>\n", | |
| " <td>912.93</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Minimum</th>\n", | |
| " <td>-4615.7</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Maximum</th>\n", | |
| " <td>2835</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Zeros (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| "<div class=\"col-md-3 collapse in\" id=\"minihistogram-8702684267816463137\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAA8NJREFUeJzt3E0odG0cx/EfWcjiXsgIJdlIKRQlTRZGacpmkpI0xYKFZEPSPGVnYakUO2WDvSRJTMnCLcXCwgILGU5eMlmYl86zeHqUuP9xM8bL97P8NzrX5tt1jXPOZLiu6wrAszLTvQDgM8tK9wLwNdT%2Bs/zqv/k95k/BSj4WOwhgIBDAQCCAgUAAA4EABgIBDAQCGAgEMBAIYCAQwEAggIFAAAMPKyJlvsMDjuwggIFAAAOBAAYCAQwEAhgIBDAQCGDgPsgP9Df3J34qdhDAQCCAgUAAA4EABgIBDAQCGAgEMBAIYCAQwEAggIFAAAOBAAYCAQw8zfvJfIdfAvlO2EEAA4EABo5Y3wAvQKXOjw2Esz5egiMWYPixO8jfeO2uw47z9RFICvHd4OvjiAUYPt0OwpdnfCbsIICBQABDhuu67kdf9OLiQgsLC2pvb1d%2Bfv5HXx54sbTsII7jaHJyUo7jpOPywItxxAIMBAIYCAQwpCUQj8ej/v5%2BeTyedFweeLG0/BcL%2BCo4YgEGAgEMBAIYCAQwEAhgIBDAQCCAISUvTAWDQd3e3urXr1%2BSpOrqag0ODur6%2BlojIyOKRqOKx%2BMaGBhQQ0OD7u/vFQqFdHp6qng8rmAwqEAgINd1NTY2pv39fSWTSTU3N6u3tzcVSwaelbI3CkOhkOrq6h7NJiYmVFVVpb6%2BPp2cnCgYDGp1dVWzs7PKzs7W/Py8rq6u1NraKq/Xq%2B3tbR0dHWlubk6xWExtbW3yer2qqKhI1bKBRz70iBUOh9XS0iJJKikpUVFRkfb29h7Nc3NzVVNTo83NTYXDYfn9fmVmZio7O1tNTU1aX1//yCXjh0tZIDMzM%2Brq6lJ3d7f29vYk/feiVF5e3sNn8vPzFYlEnp2fn58/mXs8Hp2fn6dqycATbzpiLS8va2pq6sm8v79fxcXFKi8v19bWlvr6%2BrSxsfHkc67rKiMj41Vz4CO9KRC/3y%2B/3/5Fkfr6eiUSCTmOo4KCAl1cXKi0tFSSdHZ2psLCwod5WVnZw7yiouJh/r%2BzszMVFRW9ZcnAq7z7ESuZTKqjo0ORSESSdHBwoKysLHk8HjU2NmpxcVGSdHh4qMvLS1VWVj6aO46j3d1deb1e%2BXw%2BLS0tKZlM6u7uTmtra/L5fO%2B9ZOCPUvK4%2B8rKiqanp5WTk6NEIqGhoSHV1tYqGo1qeHhYNzc3cl33YR6LxTQ6Oqrj42Mlk0n19PSoublZkjQ%2BPq6dnR25rqtAIKDOzs73Xi7wR7wPAhi4kw4YCAQwEAhg%2BBcxsC/iA37t%2BQAAAABJRU5ErkJggg%3D%3D\">\n", | |
| "\n", | |
| "</div>\n", | |
| "<div class=\"col-md-12 text-right\">\n", | |
| " <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-8702684267816463137,#minihistogram-8702684267816463137\"\n", | |
| " aria-expanded=\"false\" aria-controls=\"collapseExample\">\n", | |
| " Toggle details\n", | |
| " </a>\n", | |
| "</div>\n", | |
| "<div class=\"row collapse col-md-12\" id=\"descriptives-8702684267816463137\">\n", | |
| " <ul class=\"nav nav-tabs\" role=\"tablist\">\n", | |
| " <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-8702684267816463137\"\n", | |
| " aria-controls=\"quantiles-8702684267816463137\" role=\"tab\"\n", | |
| " data-toggle=\"tab\">Statistics</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#histogram-8702684267816463137\" aria-controls=\"histogram-8702684267816463137\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#common-8702684267816463137\" aria-controls=\"common-8702684267816463137\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#extreme-8702684267816463137\" aria-controls=\"extreme-8702684267816463137\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n", | |
| "\n", | |
| " </ul>\n", | |
| "\n", | |
| " <div class=\"tab-content\">\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-8702684267816463137\">\n", | |
| " <div class=\"col-md-4 col-md-offset-1\">\n", | |
| " <p class=\"h4\">Quantile statistics</p>\n", | |
| " <table class=\"stats indent\">\n", | |
| " <tr>\n", | |
| " <th>Minimum</th>\n", | |
| " <td>-4615.7</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>5-th percentile</th>\n", | |
| " <td>-2457.6</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Q1</th>\n", | |
| " <td>421.1</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Median</th>\n", | |
| " <td>1450.4</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Q3</th>\n", | |
| " <td>2067</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>95-th percentile</th>\n", | |
| " <td>2625.7</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Maximum</th>\n", | |
| " <td>2835</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Range</th>\n", | |
| " <td>7450.7</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Interquartile range</th>\n", | |
| " <td>1645.9</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " <div class=\"col-md-4 col-md-offset-2\">\n", | |
| " <p class=\"h4\">Descriptive statistics</p>\n", | |
| " <table class=\"stats indent\">\n", | |
| " <tr>\n", | |
| " <th>Standard deviation</th>\n", | |
| " <td>1657.6</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Coef of variation</th>\n", | |
| " <td>1.8158</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Kurtosis</th>\n", | |
| " <td>1.2654</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Mean</th>\n", | |
| " <td>912.93</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>MAD</th>\n", | |
| " <td>1274.3</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"\">\n", | |
| " <th>Skewness</th>\n", | |
| " <td>-1.3536</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Sum</th>\n", | |
| " <td>92206</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Variance</th>\n", | |
| " <td>2747800</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Memory size</th>\n", | |
| " <td>888.0 B</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-8702684267816463137\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzt3Xt0VFWa/vEnSQlyCxAx0oOXMIMESUCRSyCAIEqQpuUOgV4MtIIgBjCIAqLQ4AVwAm0jYWywhx6EViMsWhS5KNLiZZju8cJYQUS5jYqhk4aEBCSBJPv3Bz%2BqLRIgkJ2cnDrfz1qsLPY%2BtXnfOnUqj%2BdUHcOMMUYAAACwJtzpAgAAAEINAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWOZzugCvyMkpcLqEKhceHqaoqHo6duykSkuN0%2BVUGa/0KdFrKPJKn5J3evVKn9KV9XrttQ2quKrycQYL1oSHhyksLEzh4WFOl1KlvNKnRK%2BhyCt9St7p1St9Su7qlYAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJb5nC4AAAC36Pvbj50u4bJsTu3qdAmexRksAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGCZZwPWV199pTFjxqh9%2B/ZKTExUamqqcnJyJEk7d%2B7U0KFDdfvtt6tfv3568803Ha4WAAC4iScD1unTp3X//ferU6dO2rlzpzZu3KijR49q7ty5ys7O1kMPPaQRI0Zo586deuKJJzR79mz5/X6nywYAAC7hyYB16tQpTZ06VRMmTFCtWrUUFRWl3r1765tvvtFbb72lmJgYDR06VLVr11ZiYqJ69eqltWvXOl02AABwCZ/TBTihYcOGGjZsWODvBw4c0J/%2B9Cf17dtXu3fvVuvWrYO2b926tTZv3lzh9bOzswOXG8/x%2BeoqOjq6coXXcBER4UE/Q5VX%2BpToNRR5pU/JW71eiM8XWr27aZ96MmCdc/jwYfXp00fFxcUaPny4pkyZogceeEDXXXdd0HaNGjVSbm5uhdfNyMhQenp60FhKSoqmTJlipe6aLjKyjtMlVAuv9CnRayjySp%2BSt3o9X%2BPG9ZwuoUq4YZ96OmA1a9ZMfr9f//d//6c5c%2BZo%2BvTpVtZNTk5Wr169gsZ8vrrKzT1pZf2aKiIiXJGRdZSff0olJaVOl1NlvNKnRK%2BhyCt9St7q9UJC7ffOlexTp0KmpwOWJIWFhSkmJkZTp07ViBEj1KNHD%2BXl5QVtk5ubq6ioqAqvGR0dXeZyYE5OgYqLvXGAl5SUeqJXr/Qp0Wso8kqfkrd6PV%2Bo9u2GfVrzL2JWgZ07d6pPnz4qLf3HzgkPP/tUtG3bVpmZmUHbZ2Zm6tZbb63WGgEAgHt5MmDFx8frxIkTSktL06lTp3Ts2DEtXbpUHTp00MiRI3X48GGtXbtWRUVF2rFjh3bs2KHhw4c7XTYAAHAJTwasBg0aaOXKlcrMzFTnzp3Vr18/NWjQQL/5zW90zTXXaPny5VqzZo3at2%2Bv%2BfPnKy0tTa1atXK6bAAA4BKe/QxWbGysVq9eXe5cx44dtWHDhmquCAAAhApPnsECAACoSgQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACzzOV2AUw4fPqz58%2Bfrk08%2BUUREhO644w7NmjVL%2Bfn5uuuuu1SrVq2g7VNTUzV27FiHqgUAAG7i2YD14IMPKj4%2BXtu3b1dBQYFSUlL03HPPaeLEiZIkv9/vcIUAAMCtPHmJMD8/X/Hx8Zo2bZrq1aunpk2batCgQfrkk0%2BcLg0AAIQATwasyMhILViwQE2aNAmMZWVlKTo6OvD36dOnq1u3burcubMWL16sM2fOOFEqAABwIc9eIvwpv9%2BvNWvW6MUXX1StWrXUrl079e7dW88%2B%2B6z27NmjyZMny%2Bfz6eGHH67QetnZ2crJyQka8/nqBgW4UBQRER70M1R5pU%2BJXkORV/qUvNXrhfh8odW7m/ZpmDHGOF2Ekz799FNNnDhRkyZN0ujRo8vd5pVXXtHy5cu1Y8eOCq25dOlSpaenB42lpKRoypQpla4XAOCcDk9scbqEy/LJs/c4XYJnefoM1vbt2/XYY49p9uzZGjhw4AW3a9asmf7%2B97/LGKOwsLBLrpucnKxevXoFjfl8dZWbe7LSNddkERHhioyso/z8UyopKXW6nCrjlT4leg1FXulT8lavFxJqv3euZJ82blyviqsqn2cD1meffaYZM2ZoyZIl6tatW2B8586d2rVrV%2BDbhJJ04MABNWvWrELhSpKio6PLXA7MySlQcbE3DvCSklJP9OqVPiV6DUVe6VPyVq/nC9W%2B3bBPa/5FzCpQXFysJ598Uo8%2B%2BmhQuJKkBg0aaNmyZdqwYYPOnDkjv9%2Bv//iP/9DIkSMdqhYAALiNJ89g7dq1S/v379czzzyjZ555Jmhuy5Ytev7555Wenq45c%2BaoQYMG%2Btd//VeNGTPGoWoBAIDbeDJgdejQQXv37r3gfLNmzdS7d%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%2BvMmTOaOHGi6tatq7i4OA0bNkwZGRmWugAAAKHOVQFryJAh2rRpk%2B6%2B%2B26NGzdO77zzjoqLiy97ncjISC1YsEBNmjQJjGVlZSk6Olq7d%2B9WbGysIiIiAnOtW7dWZmamlR4AAEDo8zldwOVISUlRSkqKdu/erY0bN2r%2B/PmaN2%2BeBg4cqKFDh6p58%2BZXtK7f79eaNWv04osvavPmzYqMjAyab9SokfLy8lRaWqrw8Etn0uzsbOXk5ASN%2BXx1FR0dfUX1uUVERHjQz1DllT4leg1FXulT8lavocDnu/R%2BctM%2BdVXAOicuLk5xcXGaPn26Nm3apLlz52rlypVKTEzUww8/rLZt21Z4rU8//VQTJ07UtGnTlJiYqM2bN5e7XVhYWIXXzMjIUHp6etBYSkqKpkyZUuE13Cwyso7TJVQLr/Qp0Wso8kqfkrd6dbPGjetVeFs37FNXBqwzZ87o3Xff1fr16/Xf//3fiomJ0eTJk5Wdna1f/epXmjdvnu69995LrrN9%2B3Y99thjmj17tgYOHChJioqK0qFDh4K2y8vLU6NGjSp09kqSkpOT1atXr6Axn6%2BucnNPVqxBl4qICFdkZB3l559SSUmp0%2BVUGa/0KdFrKPJKn5K3eg0FFfkdeSX79HKCm02uClj79%2B/XunXr9MYbb%2BjkyZPq06ePVq1apfbt2we26dixo%2BbOnXvJgPXZZ59pxowZWrJkibp16xYYj4%2BP16uvvqri4mL5fGefHr/fr1tvvbXCdUZHR5e5HJiTU6DiYm8c4CUlpZ7o1St9SvQairzSp%2BStXt3scvaRG/apqwJWv3791Lx5c02YMEEDBw5Uo0aNymzTo0cPHTt27KLrFBcX68knn9Sjjz4aFK7OPb5%2B/fp68cUXNW7cOH399ddat26d0tLSrPYCAABCl6sC1ssvv6xOnTpdcrv//d//vej8rl27tH//fj3zzDN65plngua2bNmi3/3ud/r1r3%2BtFStWqEmTJpo6dap69uxZmdIBAICHuCpgxcbG6sEHH9TQoUN19913S5L%2B8z//Ux9//LHS0tLKPaNVng4dOmjv3r0X3ebVV1%2BtdL0AAMCbav73HH9iwYIFKigoUIsWLQJjPXv2VGlpqRYuXOhgZQAAAP/gqjNYH330kd566y01btw4MBYTE6NFixbpF7/4hYOVAQAA/IOrzmAVFhaqdu3aZcbDw8N16tQpByoCAAAoy1UBq2PHjlq4cKGOHz8eGPvb3/6mefPmBd2qAQAAwEmuukQ4a9Ys3X///erSpYvq16%2Bv0tJSnTx5UjfccINWr17tdHkAAACSXBawbrjhBr399tv64IMP9O233yo8PFzNmzdXt27dgv7nzAAAAE5yVcCSpFq1agVu0QAAAFATuSpgfffdd1q8eLG%2B%2BeYbFRYWlpl/7733HKgKAAAgmKsC1qxZs5Sdna1u3bqpbt26TpcDAABQLlcFrMzMTL333nuKiopyuhQAAIALctVtGq655hrOXAEAgBrPVQFrwoQJSk9PlzHG6VIAAAAuyFWXCD/44AN99tlnWr9%2Bva6//nqFhwfnw9dee82hygAAAP7BVQGrfv36uuOOO5wuAwBgSd/ffux0CUCVcFXAWrBggdMlAAAAXJKrPoMlSQcOHNDSpUv1%2BOOPB8Y%2B//xzBysCAAAI5qqAtXPnTvXv31/vvPOONm7cKOnszUdHjx7NTUYBAECN4aqA9fzzz%2Buxxx7TW2%2B9pbCwMEln//%2BECxcu1LJlyxyuDgAA4CxXBayvv/5aI0eOlKRAwJKke%2B65R/v373eqLAAAgCCuClgNGjQo9/9BmJ2drVq1ajlQEQAAQFmuCli333675s%2BfrxMnTgTGDh48qBkzZqhLly4OVgYAAPAPrrpNw%2BOPP64xY8YoISFBJSUluv3223Xq1CndfPPNWrhwodPlAQAASHJZwGratKk2btyoHTt26ODBg7r66qvVvHlzde3aNegzWQAAAE5yVcCSpKuuukp3332302UAAABckKsCVq9evS56pop7YQEAgJrAVQHr5z//eVDAKikp0cGDB%2BX3%2BzVmzBgHKwMAAPgHVwWsRx99tNzxrVu36i9/%2BUs1VwMAAFA%2BV92m4ULuvvtuvf32206XAQAAIClEAtaXX34pY4zTZQAAAEhy2SXCESNGlBk7deqU9u/fr6SkJAcqAgAAKMtVASsmJqbMtwhr166toUOHatiwYQ5VBQAAEMxVAYu7tQMAADdwVcB64403KrztwIEDq7ASAACAC3NVwHriiSdUWlpa5gPtYWFhQWNhYWEELAAA4BhXBazf//73WrlypR588EHFxsbKGKO9e/fqpZde0qhRo5SQkOB0iQAAAO4KWAsXLtSKFSt03XXXBcY6dOigG264QWPHjtXGjRsdrA4AAOAsV90H69ChQ2rYsGGZ8cjISB0%2BfNiBigAAAMpyVcBq1qyZFi5cqNzc3MBYfn6%2BFi9erBtvvPGy1vrwww%2BVmJioqVOnBo2vX79erVq1Ups2bYL%2BfPHFF1Z6AAAAoc9VlwhnzZqladOmKSMjQ/Xq1VN4eLhOnDihq6%2B%2BWsuWLavwOi%2B99JLWrVunm266qdz5jh07avXq1bbKBgAAHuOqgNWtWze9//772rFjh44cOSJjjK677jp1795dDRo0qPA6tWvX1rp16/Tss8%2BqqKioCisGAABe5KqAJUl16tTRXXfdpSNHjuiGG264ojVGjx590fmsrCzdd999yszMVGRkpKZMmaIBAwZUeP3s7Gzl5OQEjfl8dRUdHX1F9bpFRER40M9Q5ZU%2BJXoNRV7pE%2B7j8136Nemm16%2BrAlZhYaF%2B/etf6%2B2335YkZWZmKj8/X4888oh%2B85vfKDIystL/RlRUlGJiYvTII4%2BoRYsWevfddzV9%2BnRFR0erS5cuFVojIyND6enpQWMpKSmaMmVKpetzg8jIOk6XUC280qdEr6HIK33CPRo3rlfhbd3w%2BnVVwEpLS9OePXu0aNEiTZ8%2BPTBeUlKiRYsW6amnnqr0v9GzZ0/17Nkz8Pd%2B/frp3Xff1fr16yscsJKTk9WrV6%2BgMZ%2BvrnJzT1a6vposIiJckZF1lJ9/SiUlpU6XU2W80qdEr6HIK33CfSryO/JKXr%2BXE9xsclXA2rp1q9asWaOYmBjNmDFD0tlbNCxYsEADBw60ErDK06xZM2VmZlZ4%2B%2Bjo6DKXA3NyClRc7I03s5KSUk/06pU%2BJXoNRV7pE%2B5xOa9HN7x%2Ba/5FzJ84efKkYmJiyoxHRUXpxx9/tPJvvPrqq9q0aVPQ2P79%2B6/4814AAMB7XBWwbrzxRv3lL3%2BRpKD/9%2BCWLVv0T//0T1b%2BjdOnT%2Bvpp5%2BW3%2B/XmTNntHHjRn3wwQcaMWKElfUBAEDoc9Ulwl/%2B8peaPHmyhgwZotLSUv3hD39QZmamtm7dqieeeKLC67Rp00aSVFxcLEnatm2bJMnv92v06NE6efKkHn74YeXk5Oj666/XsmXLFB8fb78hAAAQklwVsJKTk%2BXz%2BbRmzRpFRETod7/7nZo3b65FixbpnnvuqfA6fr//gnNhYWF66KGH9NBDD9koGQAAeJCrAtaxY8c0ZMgQDRkyxOlSAAAALshVn8G66667gj57BQAAUBO5KmAlJCRo8%2BbNTpcBAABwUa66RPizn/1Mzz77rFasWKEbb7xRV111VdD84sWLHaoMAADgH1wVsPbt26d//ud/liTl5uY6XA0AAED5XBGwpk6dqueff16rV68OjC1btkwpKSkOVgUAAFA%2BV3wGa/v27WXGVqxY4UAlAAAAl%2BaKgFXeNwf5NiEAAKipXBGwwsLCKjQGAABQE7giYAEAALgJAQsAAMAyV3yL8MyZM5o2bdolx7gPFgAAqAlcEbDat2%2Bv7OzsS44BAADUBK4IWD%2B9/xUAAEBNx2ewAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZZ4NWB9%2B%2BKESExM1derUMnObNm3Svffeq3bt2mnw4MH66KOPHKgQAAC4lc/pApzw0ksvad26dbrpppvKzO3Zs0czZsxQenq6OnfurK1bt2rSpEnasmWLmjZt6kC1AADAbTx5Bqt27doXDFhr165Vjx491KNHD9WuXVv9%2B/dXy5Yt9eabbzpQKQAAcCNPBqzRo0erQYMG5c7t3r1brVu3Dhpr3bq1/H5/dZQGAABCgCcvEV5MXl6eGjZsGDTWsGFD7du3r8JrZGdnKycnJ2jM56ur6OhoKzXWVBER4UE/Q5VX%2BpToNRR5pU%2B4j8936dekm16/BKxyGGMq9fiMjAylp6cHjaWkpGjKlCmVWtctIiPrOF1CtfBKnxK9hiKv9An3aNy4XoW3dcPrl4B1nsaNGysvLy9oLC8vT1FRURVeIzk5Wb169Qoa8/nqKjf3pJUaa6qIiHBFRtZRfv4plZSUOl1OlfFKnxK9hiKv9An3qcjvyCt5/V5OcLOJgHWe%2BPh4ZWZmBo35/X7169evwmtER0eXuRyYk1Og4mJvvJmVlJR6olev9CnRayjySp9wj8t5Pbrh9VvzL2JWs%2BHDh%2Bu//uu/9P7776uoqEjr1q3ToUOH1L9/f6dLAwAALuHJM1ht2rSRJBUXF0uStm3bJunsmaqWLVtq0aJFWrBggQ4fPqwWLVpo%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%2BJXoFUH18vksfe246TglY5bjtttuUmJio5557Tt99951SU1M1b948/du//VuFHp%2BRkaH09PSgsZSUFE2ZMqUqyq1xIiPrOF2CFR2e2OJ0CZflk2fvqbK1Q2WfVoSXegVqksaNK3YSQ3LHcRpmjDFOF1HT7dixQxMnTtSuXbtUq1atS27v5TNYkZF1lJ9/SiUlpU6XU2m9F33odAmX5d1Hu1tfM9T26cVcrFe3vRYAN6rIe9iVvCddTnCziTNYFXD99derpKRER48e1c9%2B9rNLbh8dHV0mTOXkFKi4OLR/QZ1TUlLqmV5rkqp8zr20T73UK1CTXM5x54bjtOZfxKxmX375pRYuXBg0tn//ftWqVSvkz0ABAAA7CFjnueaaa5SRkaEVK1bo9OnTOnjwoJYsWaLk5GRFREQ4XR4AAHABAtZ5rrvuOq1YsULbt29XQkKCRowYoe7du%2Buxxx5zujQAAOASfAarHB07dtRrr73mdBkAAMClOIMFAABgGQELAADAMgIWAACAZXwGCwgRfX/7sdMlVNjm1K5OlwAAVYozWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLuNEogGrnppuiAsCV4AwWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGXcyd3l3HRH7M2pXZ0uAQCAasEZLAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQGrHIcPH9b48eOVkJCgO%2B%2B8U2lpaSotLXW6LAAA4BI%2BpwuoiSZPnqy4uDht27ZNR48e1YQJE9SkSRPdd999TpcGAABcgDNY5/H7/frqq6/06KOPqkGDBoqJidGvfvUrZWRkOF0aAABwCc5gnWf37t1q1qyZGjZsGBiLi4vTwYMHdeLECdWvX/%2BSa2RnZysnJydozOerq%2BjoaOv1uonPR54HAJSvIr8jIiLCg37WZASs8%2BTl5SkyMjJo7FzYys3NrVDAysjIUHp6etDYpEmTNHnyZHuF/n%2BfPHuP9TWvVHZ2tjIyMpScnBwSYfJCz22o9Xkx9Bp6vNKn5J1evdKndLbXVat%2B74pea34EdIAxplKPT05O1vr164P%2BJCcnW6qu5srJyVF6enqZs3ehxit9SvQairzSp%2BSdXr3Sp%2BSuXjmDdZ6oqCjl5eUFjeXl5SksLExRUVEVWiM6OrrGJ2sAAFB1OIN1nvj4eGVlZenYsWOBMb/frxYtWqhevXoOVgYAANyCgHWe1q1bq02bNlq8eLFOnDih/fv36w9/%2BINGjhzpdGkAAMAlIubOnTvX6SJqmu7du2vjxo16%2Bumn9fbbb2vo0KEaO3aswsLCnC6txqtXr546deoU8mf7vNKnRK%2BhyCt9St7p1St9Su7pNcxU9hPdAAAACMIlQgAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFi4LKtWrVJsbKy%2B//77wNiePXs0atQotW/fXklJSVq5cmXQYzZt2qR7771X7dq10%2BDBg/XRRx8F5kpLS/X888/rrrvuUseOHTV27Fh999131dbP%2Bb7//ns99NBD6tSpkxISEvTAAw/o4MGDgflQ6TU3N1czZsxQ165dlZCQoEmTJikrKyswf/jwYY0fP14JCQm68847lZaWptLS0sD8zp07NXToUN1%2B%2B%2B3q16%2Bf3nzzzaD1X375ZfXp00e33367Ro4cqczMzGrrrTx%2Bv1%2B9e/fW8OHDy8xVppeioiLNmTNHd9xxhxISEjRlyhTl5uZWeT9X6lL7tSb78MMPlZiYqKlTp5aZq8xxl5eXp9TUVCUmJqpbt2564oknVFhYWC09lefw4cNKSUlRQkKCEhMTNXPmTOXn50sKnfefc7766iuNGTNG7du3V2JiolJTU5WTkyMpRI5LA1TQkSNHzB133GFatmxpvvvuO2OMMadOnTLdu3c3S5cuNSfSyu7WAAAKYElEQVRPnjSZmZmmU6dOZuvWrcYYY7788ksTHx9v3n//fVNYWGg2bNhgbr31VpOVlWWMMebll182d955p9m3b58pKCgwTz31lLn33ntNaWmpIz3279/fzJ4925w4ccIUFBSY1NRUM2DAgJDrdcKECeb%2B%2B%2B83R48eNbm5uWb8%2BPFmzJgxgflBgwaZJ5980uTn55uDBw%2BapKQks3LlSmOMMX/729/MbbfdZtauXWsKCwvNxx9/bNq2bWu%2B%2BOILY4wx7733nunQoYPZtWuXOXXqlFm%2BfLnp2rWrOXnyZLX3aYwxGzZsMD169DBjx441w4YNC5qrbC8LFiwwgwcPNj/88IPJzc01kyZNMhMmTKj2HivqYvu1JluxYoVJSkoyI0aMMKmpqUFzlT3uJk2aZMaPH2%2BOHj1qjhw5YpKTk83TTz9d7T2e84tf/MLMnDnTnDhxwmRlZZnBgwebWbNmhdT7jzHGFBUVmS5dupj09HRTVFRkjh49akaNGmUeeuihkDkuCViosMmTJ5t///d/DwpYmzdvNp07dzbFxcWB7dLS0sz9999vjDFm3rx5JiUlJWidYcOGmeXLlxtjjOnXr59ZtWpVYK6goMC0bt3afP7551XdThlFRUXm9ddfN3l5eYGxbdu2mbi4OFNaWhoyvZaWlpo5c%2BaYvXv3Bsa2b99u4uPjTWlpqfniiy/MLbfcEvQ8vPLKK6ZPnz7GGGN%2B//vfm4EDBwatmZqaambPnm2MMWb8%2BPFm/vz5gbmSkhLTtWtXs3Hjxqps64Jef/11c%2BTIEfPCCy%2BUCViV6eXMmTOmffv2Ztu2bYH5ffv2mdjYWHPkyJEq7OjKXGq/1mSrVq0y%2Bfn5ZsaMGWUCVmWOu5ycHNOqVSuzZ8%2BewPyOHTvMbbfdZk6fPl2FHZXv%2BPHjZubMmSYnJycwtnr1apOUlBQy7z/n5OXlmddff92cOXMmMLZq1SrTu3fvkDkuuUSICtmxY4f27t2rsWPHBo3v3r1bsbGxioiICIy1bt06cLp29%2B7dat26ddBjWrduLb/fr8LCQu3bty9ovn79%2Brrpppvk9/ursJvy1apVS8OGDVPDhg0lSVlZWXrllVd0zz33KCwsLGR6DQsL07x589SyZcvAWFZWlq699tpAn82aNQs8D5IUFxengwcP6sSJExfs80LPQ3h4uG655RZH9qkkDRs2TNddd125c5Xp5dtvv1VBQYHi4uIC8//yL/%2Biq6%2B%2BWrt3766CTirnUvu1Jhs9erQaNGhQ7lxljrs9e/YoIiJCsbGxgfm4uDj9%2BOOPOnDgQNU0cxGRkZFasGCBmjRpEhjLyspSdHR0yLz/nNOwYUMNGzZMPp9PknTgwAH96U9/Ut%2B%2BfUPmuCRg4ZIKCwv19NNPa86cOapVq1bQXF5eniIjI4PGGjVqpLy8PJWWliovLy/oDV06e2Dl5ubq%2BPHjMsZccN5J8fHx6tmzp%2BrUqaOnnnpKUuj2%2Bv3332vJkiWaOHGipPL7PFd3bm7uBZ%2BHc31c7HmoaSrTS15eniSVeXxkZKRrev3pfnWryhx3eXl5ql%2B/vsLCwoLmpJrxnPj9fq1Zs0YTJ04M2fefw4cPKz4%2BXj//%2Bc/Vpk0bTZkyJWSOSwIWtGHDBsXGxpb7Z/369XrxxRcVHx%2Bvrl27VnjNn75hGWMuuu2l5m26VK/nZGZmaseOHbrqqqs0duzYi34QuCb2WtE%2B9%2B/fr1GjRmnQoEEaNmyYtTpr4j69UjVln9rgplovR2X2UU19Tj799FONHTtW06ZNU2Ji4gW3q4nvP5ejWbNm8vv92rJliw4dOqTp06dX6HFu6NXndAFw3oABAzRgwIBy5/bv36%2B0tDS98cYb5c5HRUXp0KFDQWN5eXlq1KiRwsPD1bhx48B/Ufx0PioqKrBNefPXXHPNlTd0ERfr9XxNmzbV448/ru7du2v37t2u6rUifX7xxRd64IEHdP/992vChAmB8aioqHLrDAsLU1RUVLl95ubmKioqSpIu%2BDzcfPPNlWnpgi5nn56vMr2c2yYvL0/16tULzB8/frzKXr%2BVcan96laVOe6ioqJ04sQJlZSUBC69ndvWyX24fft2PfbYY5o9e7YGDhwoyX3vtZcjLCxMMTExmjp1qkaMGKEePXqExHHJGSxc1ObNm1VQUKD%2B/fsrISFBCQkJkqTBgwfrpZdeUnx8vPbu3avi4uLAY/x%2Bv2699VZJZy%2B1nf8V/XPztWvX1s033xx0XTw/P1/ffvut2rZtWw3dBTtw4IB69OgRdBo5PPzsIXLVVVeFVK%2BHDh3S%2BPHjNWPGjKBwJZ3tIysrS8eOHQuM%2Bf1%2BtWjRQvXq1VObNm3K9JmZmRn0PPy0z5KSEn355ZeB%2BZqkMr3ccMMNatiwYdD8119/rdOnTys%2BPr56GrgMl9qvblWZ4%2B6WW26RMUZfffVV0GMjIyPVvHnzauvhpz777DPNmDFDS5YsCYQrSSH1/iOdvQ1Dnz59gq4OnHu/bdu2bWgcl9X6kXq4TkFBgcnKygr607JlS/P555%2BbgoICU1RUZO68807zwgsvmB9//NHs2rXLdOjQwfz5z382xhizd%2B9e06ZNG/PnP//ZFBYWmrVr15p27dqZ7OxsY8zZbzH17Nkz8NXh2bNnmyFDhjjSa3FxsenXr5955JFHzPHjx01BQYGZOXOmufvuu01RUVFI9XrfffeZxYsXX3B%2B2LBhZtasWaagoMDs27fP9OrVy6xZs8YYY8zf//53065dO/P666%2BbwsJC8/7775u2bdsGvom1Y8cO0759e/P555%2BbH3/80SxdutT06NHDnDp1qlp6u5DyvkVY2V7S0tLMoEGDzA8//GCOHTtmJkyYYCZPnlztvVXUxfarG5T3LcLKHnepqalm3Lhx5ujRoyYrK8sMGTLELFy4sFr7OufMmTOmb9%2B%2B5rXXXiszF0rvP8YYk5%2BfbxITE83ChQvNjz/%2BaI4ePWrGjh1rfvnLX4bMcUnAwmX76W0ajDl7YI8YMcLEx8ebnj17mj/%2B8Y9B22/dutUkJSWZuLg4M2DAAPPXv/41MFdaWmqWLFliunTpYtq2bWseeOCBwH1bnPD999%2BbBx980Nx2222mU6dOZty4cWbfvn2B%2BVDo9YcffjAtW7Y0cXFxJj4%2BPujPuXqzsrLMuHHjTNu2bU1iYqJ54YUXgu6X89e//tX079/fxMXFmaSkpMC9eM754x//aHr06GHi4%2BPNyJEjg24JUd2SkpJMfHy8ueWWW0xsbGyg1%2B%2B//94YU7leioqKzNy5c03Hjh1Nu3btzCOPPGLy8/Ortb/Lcan9WlOd22etWrUyrVq1Cvz9nMocd/n5%2BWbq1KnmtttuMx07djTz5s0zRUVF1drfOf/zP/9jWrZsWea4PPd6DYX3n5/66quvzKhRo0zbtm1N586dTWpqauBWCqFwXIYZUwM%2BCQYAABBC%2BAwWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFj2/wDP1d7mWzcgPQAAAABJRU5ErkJggg%3D%3D\"/>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-8702684267816463137\">\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">2583.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">-3101.3</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">1722.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">1973.0</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">-1748.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">879.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">1171.9</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">2284.6</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">1641.9</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">2074.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"other\">\n", | |
| " <td class=\"fillremaining\">Other values (91)</td>\n", | |
| " <td class=\"number\">91</td>\n", | |
| " <td class=\"number\">90.1%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"extreme-8702684267816463137\">\n", | |
| " <p class=\"h4\">Minimum 5 values</p>\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">-4615.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">-4125.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">-3101.3</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">-2974.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">-2633.3</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " <p class=\"h4\">Maximum 5 values</p>\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">2653.6</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">2714.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">2716.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">2805.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">2835.0</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| "</div><div class=\"row variablerow\">\n", | |
| " <div class=\"col-md-3 namecol\">\n", | |
| " <p class=\"h4 pp-anchor\" id=\"pp_var_GovernmentConsumption\">GovernmentConsumption<br/>\n", | |
| " <small>Numeric</small>\n", | |
| " </p>\n", | |
| " </div><div class=\"col-md-6\">\n", | |
| " <div class=\"row\">\n", | |
| " <div class=\"col-sm-6\">\n", | |
| " <table class=\"stats \">\n", | |
| " <tr>\n", | |
| " <th>Distinct count</th>\n", | |
| " <td>101</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Unique (%)</th>\n", | |
| " <td>100.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Infinite (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Infinite (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| "\n", | |
| " </div>\n", | |
| " <div class=\"col-sm-6\">\n", | |
| " <table class=\"stats \">\n", | |
| "\n", | |
| " <tr>\n", | |
| " <th>Mean</th>\n", | |
| " <td>23594</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Minimum</th>\n", | |
| " <td>16697</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Maximum</th>\n", | |
| " <td>29040</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Zeros (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| "<div class=\"col-md-3 collapse in\" id=\"minihistogram6449003649696001458\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAATFJREFUeJzt29FpAkEARdEYLMki0pPf6cki0tPYQLi4wmYns%2Bf8C4NwfeyolzHG%2BAB%2B9Xn0AWBm16MPwN%2B73R%2BbX/Pz/bXDSeZnQSAIBIJAIAgEgkAgCASCa94duU79/ywIBIFAEAgEgUAQCASBQBAIBIFAEAgE36Qv4J1v7HmNBYFgQTbwSX0%2BFgSCBZmMlZqLBYEgEAgCgSAQCB7S2c0Kfzm2IBAEAkEgEAQCQSAQBAJhiWveFa4TmZMFgbDEgrzDr2a3Oev7ZUEgCASCQCAIBMJ0D%2BlnfRhkThYEgkAgCASCQCAIBIJAIFzGGOPoQ8CsLAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAiEJ%2BrzHQkYdbnRAAAAAElFTkSuQmCC\">\n", | |
| "\n", | |
| "</div>\n", | |
| "<div class=\"col-md-12 text-right\">\n", | |
| " <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives6449003649696001458,#minihistogram6449003649696001458\"\n", | |
| " aria-expanded=\"false\" aria-controls=\"collapseExample\">\n", | |
| " Toggle details\n", | |
| " </a>\n", | |
| "</div>\n", | |
| "<div class=\"row collapse col-md-12\" id=\"descriptives6449003649696001458\">\n", | |
| " <ul class=\"nav nav-tabs\" role=\"tablist\">\n", | |
| " <li role=\"presentation\" class=\"active\"><a href=\"#quantiles6449003649696001458\"\n", | |
| " aria-controls=\"quantiles6449003649696001458\" role=\"tab\"\n", | |
| " data-toggle=\"tab\">Statistics</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#histogram6449003649696001458\" aria-controls=\"histogram6449003649696001458\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#common6449003649696001458\" aria-controls=\"common6449003649696001458\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#extreme6449003649696001458\" aria-controls=\"extreme6449003649696001458\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n", | |
| "\n", | |
| " </ul>\n", | |
| "\n", | |
| " <div class=\"tab-content\">\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles6449003649696001458\">\n", | |
| " <div class=\"col-md-4 col-md-offset-1\">\n", | |
| " <p class=\"h4\">Quantile statistics</p>\n", | |
| " <table class=\"stats indent\">\n", | |
| " <tr>\n", | |
| " <th>Minimum</th>\n", | |
| " <td>16697</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>5-th percentile</th>\n", | |
| " <td>18337</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Q1</th>\n", | |
| " <td>21516</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Median</th>\n", | |
| " <td>23758</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Q3</th>\n", | |
| " <td>25757</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>95-th percentile</th>\n", | |
| " <td>28382</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Maximum</th>\n", | |
| " <td>29040</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Range</th>\n", | |
| " <td>12344</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Interquartile range</th>\n", | |
| " <td>4241.5</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " <div class=\"col-md-4 col-md-offset-2\">\n", | |
| " <p class=\"h4\">Descriptive statistics</p>\n", | |
| " <table class=\"stats indent\">\n", | |
| " <tr>\n", | |
| " <th>Standard deviation</th>\n", | |
| " <td>2921.9</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Coef of variation</th>\n", | |
| " <td>0.12384</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Kurtosis</th>\n", | |
| " <td>-0.57839</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Mean</th>\n", | |
| " <td>23594</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>MAD</th>\n", | |
| " <td>2435</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"\">\n", | |
| " <th>Skewness</th>\n", | |
| " <td>-0.24274</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Sum</th>\n", | |
| " <td>2383000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Variance</th>\n", | |
| " <td>8537400</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Memory size</th>\n", | |
| " <td>888.0 B</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram6449003649696001458\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzt3XtUVPXex/EPMKkJgmBipzK1NFNBQyUSTVF7vHYxL6Gtjll5ulGK6UnLfNKypMSjJZ7MerqY1uFkVmZaamqZp5uViZcsybIMY1JGEFFuv%2BePlnMaAQXZsIeZ92stFvH77dn7u79uhk9775kJMMYYAQAAwDKBdhcAAADgawhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWMxhdwH%2BwunMs7sErxEYGKCIiGAdOpSv0lJjdzlehd6Uj75UjN5UjN6Uz9/60rRpI1u2yxks1LrAwAAFBAQoMDDA7lK8Dr0pH32pGL2pGL0pH32pHQQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACL%2BUzA2r9/v5KSkhQXF6f4%2BHhNmTJFubm5kqRdu3bppptuUpcuXdSvXz%2B98MILFa6ntLRUc%2BfOVd%2B%2BfRUbG6vbbrtNP//8c23tBgAA8AE%2BE7DuvPNOhYaGav369Vq%2BfLm%2B//57PfHEEzp27JjuuOMOXXHFFdq0aZPmzp2rZ599VmvWrCl3PUuXLtU777yjRYsWacOGDWrZsqWSkpJkjO9/XhMAALCGTwSs3NxcRUVFaeLEiQoODta5556r66%2B/Xlu2bNHGjRtVVFSku%2B66Sw0bNlSHDh00YsQIpaenl7uu9PR0jRkzRhdffLFCQkI0YcIEZWZm6ptvvqnlvQIAAHWVw%2B4CrBAaGqpZs2Z5jGVlZSkyMlI7duxQ27ZtFRQU5J5r3769Xn/99TLrOXbsmPbs2aP27du7x0JCQtSiRQtlZGTosssuq1Q92dnZcjqdHmMOR0NFRkZWZbd8VlBQoMd3/Be9KR99qRi9qRi9KR99qR0%2BEbBOlpGRoSVLluiZZ57R6tWrFRoa6jHfuHFjuVwulZaWKjDwvwfY4cOHZYxRWFiYx/JhYWHKycmp9PbT09OVlpbmMZaUlKRx48adwd74rtDQs%2B0uwWvRm/LRl4rV1d50nfqe3SVUyZbHBthdgmXq6jFTV/hcwPryyy911113aeLEiYqPj9fq1avLXS4gIKDCdVT3fqvExET16dPHY8zhaKicnPxqrddXBAUFKjT0bOXmFqikpNTucrwKvSkffakYvaldvvA87m/HTHh4sC3b9amAtX79ev3973/XtGnTNGTIEElSRESEfvzxR4/lXC6XGjdu7HH2SpJ7zOVylVm%2BSZMmla4jMjKyzOVApzNPxcW%2BfyBXRUlJKT2pAL0pH32pGL2pHb7UY46ZmuUzF2C/%2BuorTZ48WU899ZQ7XElSVFSUdu/ereLiYvdYRkaGOnXqVGYd9evXV5s2bbRjxw73WG5urvbt26eOHTvW7A4AAACf4RMBq7i4WA899JAmTZqkHj16eMz16tVLISEheuaZZ1RQUKBvvvlGy5Yt06hRoyRJv/32mwYMGOB%2Br6tRo0Zp8eLFyszM1JEjR5Samqp27dopOjq61vcLAADUTT5xiXDr1q3KzMzUzJkzNXPmTI%2B59957TwsXLtTDDz%2BsRYsW6ZxzztGECROUkJAgSSoqKtLevXtVWFgoSRo5cqScTqf%2B%2Bte/Kj8/X3FxcWVuWAcAADiVAMM7aNYKpzPP7hK8hsMRqPDwYOXk5HP9/yT0pnz0pWJ1vTcD5222u4QqWZ3c3e4Sqq2uHzNV1bRpI1u26xOXCAEAALwJAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLOewuwEqbNm3S5MmTFRcXp7lz57rHH3roIb399tsey5aUlOi6667TrFmzyqynT58%2Bys7OVkBAgHuse/fuWrhwYc0VDwAAfIbPBKznnntOy5YtU4sWLcrMzZw5UzNnznT/XFxcrCFDhmjAgAEVru///u//FBcXVyO1AgAA3%2BYzlwjr169fYcA62csvv6zzzjtPvXr1qoXKAACAv/GZM1ijR4%2Bu1HK5ublauHChXn311VMut3jxYk2dOlUHDx7UlVdeqYcfflhNmjSp1Days7PldDo9xhyOhoqMjKzU431dUFCgx3f8F70pH32pGL2pXQ5H3e8zx0zt8JmAVVlLlixRbGys2rRpU%2BEy7dq1U8eOHfXkk08qNzdXkydP1vjx47VkyZJKbSM9PV1paWkeY0lJSRo3bly1avc1oaFn212C16I35aMvFaM3tSM8PNjuEizDMVOz/CpglZSUaOnSpZozZ84pl1uwYIH7v4ODg/Xwww9r0KBB2rdvny688MLTbicxMVF9%2BvTxGHM4GionJ//MCvcxQUGBCg09W7m5BSopKbW7HK9Cb8pHXypGb2qXLzyP%2B9sxY1co9quA9cUXX6iwsFBdu3at0uPOP/98SX9c%2BqtMwIqMjCxzOdDpzFNxse8fyFVRUlJKTypAb8pHXypGb2qHL/WYY6Zm%2BdUF2A8%2B%2BEBXXHGFHI6Kc%2BX%2B/fv18MMPq7Cw0D2WmZkpSWrevHmN1wgAAOo%2BvwpYu3bt0gUXXFBmfO3atbrxxhslSU2aNNH69euVkpKio0eP6rffftOsWbPUu3dvNWvWrLZLBgAAdZDPXCKMjo6W9Md7XEnSunXrJEkZGRnuZZxOp84555wyj83Ly9NPP/0kSWrQoIGef/55paSkqGfPnpKk//mf/9EDDzxQo/UDAADfEWCMMXYX4Q%2Bczjy7S/AaDkegwsODlZOTz/X/k9Cb8tGXitX13gyct9nuEqpkdXJ3u0uotrp%2BzFRV06aNbNmuX10iBAAAqA0%2Bc4kQQN3BWQsAvo4zWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABbzqYC1adMmxcfHa8KECR7jy5cv16WXXqro6GiPr23btpW7HpfLpeTkZMXHx6tHjx6aOnWqjh07Vhu7AAAAfIDD7gKs8txzz2nZsmVq0aJFufOxsbF65ZVXKrWuadOmqbCwUCtXrlRRUZHGjx%2Bv1NRUPfTQQ1aWDAAAfJTPnMGqX7/%2BKQNWZf3%2B%2B%2B9at26dJkyYoIiICDVr1kx333233njjDRUVFVlULQAA8GU%2BcwZr9OjRp5zPysrSLbfcou3btys0NFTjxo3TddddV2a5Xbt2KSgoSG3btnWPdejQQUePHtUPP/zgMV6R7OxsOZ1OjzGHo6EiIyMruTe%2BLSgo0OM7/oveeCeHw3v/PThmapc3HwuVxTFTO3wmYJ1KRESEWrZsqfvuu0%2BtW7fW2rVrdf/99ysyMlLdunXzWNblcikkJEQBAQHusbCwMElSTk5OpbaXnp6utLQ0j7GkpCSNGzeumnviW0JDz7a7BK9Fb7xLeHiw3SWcFsdM7agLx0JlcczULL8IWAkJCUpISHD/PHjwYK1du1bLly8vE7AkyRhTre0lJiaqT58%2BHmMOR0Pl5ORXa72%2BIigoUKGhZys3t0AlJaV2l%2BNV6I138ubfXY6Z2uXNx0Jl%2BdsxY1co9ouAVZ7zzz9f27dvLzMeERGhI0eOqKSkREFBQZL%2BOKslSU2aNKnUuiMjI8tcDnQ681Rc7PsHclWUlJTSkwrQG%2B9SF/4tOGZqhy/1mGOmZvnFBdjXXntNq1at8hjLzMxU8%2BbNyyzbrl07GWP07bffuscyMjIUGhqqVq1a1XitAACg7vOLgFVYWKhHH31UGRkZKioq0sqVK/XRRx9p5MiRkqS1a9fqxhtvlPTHGaz%2B/ftr3rx5OnTokA4cOKAFCxZo%2BPDhcjj89oQfAACoAp9JDNHR0ZKk4uJiSdK6desk/XH2afTo0crPz9f48ePldDp1wQUXaMGCBYqKipIk5eXl6aeffnKv65FHHtHDDz%2Bsvn376qyzztLVV19d5s1LAQAAKhJgqntHNyrF6cyzuwSv4XAEKjw8WDk5%2BVz/P4m/9GbgvM12l1Alq5O7211Cher6McOxUPvq%2BjFTVU2bNrJlu35xiRAAAKA2EbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiDrsLAABYa%2BC8zXaXAPg9zmABAABYjIAFAABgMZ8JWJs2bVJ8fLwmTJhQZm7NmjW69tprFRMTo/79%2B%2Bvf//53hev561//qg4dOig6Otr9de2119Zk6QAAwMf4xD1Yzz33nJYtW6YWLVqUmdu2bZsmTZqkf/zjH0pISNDmzZuVlJSkiy66SF27di13fY8%2B%2BqiGDh1a02UDAAAfZfsZrD59%2BigtLU1ZWVlnvI769etXGLBcLpfuuOMOXXXVVXI4HOrVq5cuueQSbdmypTplAwAAVMj2gDVs2DCtWrVKV111lcaOHas1a9aouLi4SusYPXq0GjVqVO5cz549lZSU5P65uLhYTqdTzZo1q3B9q1at0qBBgxQTE6MxY8Zo3759VaoHAAD4N9svESYlJSkpKUk7duzQypUr9fjjj2vGjBkaMmSIhg8frlatWlm6vdTUVDVs2FCDBg0qd/7iiy/W2WefrdTUVJWWlmrmzJkaO3asVq5cqXr16lVqG9nZ2XI6nR5jDkdDRUZGVrt%2BXxAUFOjxHf9Fb7yTw%2BG9/x4cM7XLm4%2BFyuKYqR22B6wTOnTooA4dOuj%2B%2B%2B/XqlWrNH36dL3wwguKj4/X%2BPHj1bFjx2qt3xij1NRUrVy5UosXL1b9%2BvXLXW769OkePz/yyCOKi4vTl19%2BqW7dulVqW%2Bnp6UpLS/MYS0pK0rhx486odl8VGnq23SV4LXrjXcLDg%2B0u4bQ4ZmpHXTgWKotjpmZ5TcAqKirS2rVrtXz5cn366adq2bKl7r33XmVnZ2vMmDGaMWOGrrnmmjNad2lpqR544AFt27ZNr732mpo3b17px4aEhCgsLEy//fZbpR%2BTmJioPn36eIw5HA2Vk5Nf6XX4sqCgQIWGnq3c3AKVlJTaXY5XoTfeyZt/dzlmapc3HwuV5W/HjF2h2PaAlZmZqWXLlumtt95Sfn6%2B%2Bvfvr5dfflldunRxLxMbG6vp06efccB6/PHH9f333%2Bu1115T48aNK1zuyJEjSk1N1V133eW%2BR%2BvQoUM6dOhQlUJZZGRkmcuBTmeeiot9/0CuipKSUnpSAXrjXerCvwXHTO3wpR5zzNQs2y/ADh48WBs3btQdd9yhjz76SLNnz/YIV5LUq1cvHTp06IzW/%2BWXX2rFihVatGhRueFq27ZtGjBggAoLCxUSEqJvvvlGM2fOlMvl0uHDhzVjxgy1bdtWMTExZ7R9AADgf2w/g7V48WJdfvnlp13um2%2B%2BqXAuOjpaktyvPly3bp0kKSMjQ2%2B88Yby8vLUu3dvj8fExsbqhRdeUEFBgfbu3StjjCRpwYIFevzxx9W/f38VFhaqW7duWrRokQIDbc%2BiAACgjggwJ5KFTQ4fPqzJkydr%2BPDhuuqqqyRJL730kjZv3qzZs2ef8pJeXeJ05tldgtdwOAIVHh6snJx8Tk%2BfxF96U9c%2BjHh1cne7S6hQecdMXetvXeLNx0Jl%2BcvzzAlNm5b/Nk41zfbTMrNmzVJeXp5at27tHktISFBpaalSUlJsrAwAAODM2H6J8OOPP9Y777yj8PBw91jLli2Vmpqqq6%2B%2B2sbKgLqFsxYA4D1sP4N17Nixct%2BTKjAwUAUFBTZUBAAAUD22B6zY2FilpKTo8OHD7rHffvtNM2bMKPNqQgAAgLrA9kuEDz74oG699VZ169ZNISEhKi0tVX5%2Bvpo3b65XXnnF7vIAAACqzPaA1bx5c7377rv66KOPtG/fPgUGBqpVq1bq0aOHgoKC7C4PAACgymwPWJJUr14991s0AAAA1HW2B6yff/5Zc%2BbM0ffff69jx46Vmf/ggw9sqAoAAODM2R6wHnzwQWVnZ6tHjx5q2LCh3eUAAABUm%2B0Ba/v27frggw8UERFhdykAAACWsP1tGpo0acKZKwAA4FNsD1h33HGH0tLSZPNHIgIAAFjG9kuEH330kb766istX75cF1xwgQIDPTPfv/71L5sqAwAAODO2B6yQkBD17NnT7jIAAAAsY3vAmjVrlt0lAAAAWMr2e7Ak6YcfftD8%2BfP1wAMPuMe%2B/vprGysCAAA4c7afwfrkk0/0t7/9Ta1atdKPP/6oWbNm6eeff9bo0aM1b9489e3b1%2B4SAfi5gfM2210CgDrG9jNYc%2BfO1d///ne98847CggIkPTH5xOmpKRowYIFNlcHAABQdbYHrO%2B%2B%2B06jRo2SJHfAkqQBAwYoMzPTrrIAAADOmO0Bq1GjRuV%2BBmF2drbq1atnQ0UAAADVY3vA6ty5sx5//HEdOXLEPbZ3715NnjxZ3bp1s7EyAACAM2P7Te4PPPCAbr75ZsXFxamkpESdO3dWQUGB2rRpo5SUFLvLAwAAqDLbA9a5556rlStX6sMPP9TevXvVoEEDtWrVSt27d/e4JwsAAKCusD1gSdJZZ52lq666yu4yAAAALGF7wOrTp88pz1R98MEHtVgNAABA9dkesAYNGuQRsEpKSrR3715lZGTo5ptvtrEyAACAM2N7wJo0aVK54%2B%2B//74%2B%2B%2ByzWq4GAACg%2Bmx/m4aKXHXVVXr33Xer9JhNmzYpPj5eEyZMKDO3atUqXXPNNYqJidHQoUP18ccfV7gel8ul5ORkxcfHq0ePHpo6dWq579UFAABQHq8NWDt37pQxptLLP/fcc5o5c6ZatGhRZm7Xrl2aPHmyJk2apE8//VRjxozRPffcowMHDpS7rmnTpqmgoEArV67UG2%2B8oczMTKWmpp7xvgAAAP9i%2ByXCkSNHlhkrKChQZmam%2BvXrV%2Bn11K9fX8uWLdNjjz2m48ePe8y9/vrr6tWrl3r16iVJuvbaa7VkyRKtWLFCt99%2Bu8eyv//%2Bu9atW6c333xTERERkqS7775b48eP1%2BTJk3XWWWdVdRcBAICfsT1gtWzZssyrCOvXr6/hw4drxIgRlV7P6NGjK5zbsWOHO1yd0L59e2VkZJRZdteuXQoKClLbtm3dYx06dNDRo0f1ww8/eIwDAACUx/aAVRvv1u5yuRQWFuYxFhYWpj179pS7bEhIiEfoO/HYnJycSm0vOztbTqfTY8zhaKjIyMiqlu6TgoICPb7jv%2BgN4N0cjrr/u8nzTO2wPWC99dZblV52yJAhZ7ydqtzPVZVly5Oenq60tDSPsaSkJI0bN65a6/U1oaFn212C16I3gHcKDw%2B2uwTL8DxTs2wPWFOnTlVpaWmZUBMQEOAxFhAQcMYBKzw8XC6Xy2PM5XK577H6s4iICB05ckQlJSUKCgpyLytJTZo0qdT2EhMT1adPH48xh6OhcnLyz6R8nxMUFKjQ0LOVm1ugkpJSu8vxKvQG8G6%2B8Dzub88zdoVi2wPW888/rxdeeEF33nmn2rZtK2OMdu/ereeee0433XST4uLiqr2NqKgobd%2B%2B3WMsIyNDgwcPLrNsu3btZIzRt99%2Bqw4dOriXDQ0NVatWrSq1vcjIyDKXA53OPBUX%2B/6BXBUlJaX0pAL0BvBOvvR7yfNMzbL9AmxKSopmzpypLl26KCQkRI0aNVLXrl31yCOP6IknnlC9evXcX2fqhhtu0H/%2B8x9t3LhRx48f17Jly/Tjjz/q2muvlSStXbtWN954o6Q/zmD1799f8%2BbN06FDh3TgwAEtWLBAw4cPl8Nhex4FAAB1gO2J4ccffyxzA7okhYaGav/%2B/ZVeT3R0tCSpuLhYkrRu3TpJf5x9uuSSS5SamqpZs2Zp//79at26tZ599lk1bdpUkpSXl6effvrJva5HHnlEDz/8sPr27auzzjpLV199dblvXgoAAFCeAFPdO7qradCgQbr88ss1fvx4hYeHS5Jyc3P19NNP64svvtDbb79tZ3mWcTrz7C7BazgcgQoPD1ZOTj6np09Snd4MnLe5hqoCcMLq5O52l1Bt/vYc3LRpI1u2a/sZrAcffFATJ05Uenq6goODFRgYqCNHjqhBgwZasGCB3eUBAABUme0Bq0ePHtq4caM%2B/PBDHThwQMYYNWvWTFdeeaUaNbIndQIAAFSH7QFLks4%2B%2B2z17dtXBw4cUPPmze0uBwAAoFpsfxXhsWPHNHnyZMXExGjgwIGS/rgHa%2BzYscrNzbW5OgAAgKqzPWDNnj1bu3btUmpqqgID/1tOSUmJUlNTbawMAADgzNgesN5//309/fTTGjBggPvz/0JDQzVr1iytWbPG5uoAAACqzvaAlZ%2Bfr5YtW5YZj4iI0NGjR2u/IAAAgGqyPWBdeOGF%2BuyzzyR5fsjye%2B%2B9p/POO8%2BusgAAAM6Y7a8ivPHGG3Xvvfdq2LBhKi0t1Ysvvqjt27fr/fff19SpU%2B0uDwAAoMpsD1iJiYlyOBxasmSJgoKCtHDhQrVq1UqpqakaMGCA3eUBAFBn1aVPePCFd8n/M9sD1qFDhzRs2DANGzbM7lIAAAAsYfs9WH379pXNH4cIAABgKdsDVlxcnFavXm13GQAAAJax/RLhX/7yFz322GNatGiRLrzwQp111lke83PmzLGpMgAAgDNje8Das2ePLrroIklSTk6OzdUAAABUn20Ba8KECZo7d65eeeUV99iCBQuUlJRkV0kAAACWsO0erPXr15cZW7RokQ2VAAAAWMu2gFXeKwd5NSEAAPAFtgWsEx/sfLoxAACAusb2t2kAAADwNQQsAAAAi9n2KsKioiJNnDjxtGO8DxYAAKhrbAtYXbp0UXZ29mnHAAAA6hrbAtaf3/8KAADAl3APFgAAgMUIWAAAABYjYAEAAFjM9g97rg1ffPGFbr31Vo8xY4yKioq0e/duj/H58%2Bfrn//8pxwOz9Zs2LBB55xzTo3XCgAA6j6/CFixsbHKyMjwGFu4cKG%2B/fbbcpe/7rrrlJKSUhulAQAAH%2BQXAetkv/76q1588UW9%2BeabdpcCAAB8kF/eg/XUU09p2LBhOu%2B888qd3717t0aOHKnOnTtr8ODB%2Bvjjj2u5QgAAUJf53RmsX375RWvWrNGaNWvKnT/33HPVvHlzTZw4UZGRkUpPT9edd96pFStW6KKLLqrUNrKzs%2BV0Oj3GHI6GioyMrHb9viAoKNDjO/6L3gDezeHgd7Om%2BFpv/S5gLV26VP369VPTpk3LnR8xYoRGjBjh/nnMmDF69913tWLFCiUnJ1dqG%2Bnp6UpLS/MYS0pK0rhx4868cB8UGnq23SV4LXoDeKfw8GC7S/BZvtZbvwtY77//viZPnlylx5x//vlV%2BgifxMRE9enTx2PM4WionJz8Km3XVwUFBSo09Gzl5haopKTU7nK8Cr0BvBvP4zWnpnprV3Dzq4C1a9cu7d%2B/X927d69wmX/%2B85%2BKiYlRt27d3GOZmZkaNGhQpbcTGRlZ5nKg05mn4mL%2BYP5ZSUkpPakAvQG8E7%2BXNcfXeutbFzxPY%2BfOnWrcuLFCQkI8xgcMGKAtW7ZIklwul2bMmKEffvhBx48f1wsvvKB9%2B/bp%2Buuvt6NkAABQB/nVGazff/%2B93Huv9u7dq6NHj0qSJk6cKOmPe69cLpdat26tl156Seeee26t1goAAOquAGOMsbsIf%2BB05tldgtdwOAIVHh6snJx8nzslXF3V6c3AeZtrqCoAJ6xOrvgWE29Ul54Xaqq3TZs2qpH1no5fXSIEAACoDQQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIOuwuA/xg4b7PdJVTJ6uTudpcAAKijOIMFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxv3kn97Zt2%2Bqss85SQECAe%2ByGG27QtGnTyiy7ePFiLV26VE6nU23bttXUqVMVFRVVm%2BUCAIA6zG8CliS99957uuCCC065zPr16zV//nw9//zzatu2rRYvXqw777xTa9asUcOGDWupUgAAUJdxifAk6enpGjp0qDp16qQGDRpo7NixkqQNGzbYXBkAAKgr/CpgzZkzRwkJCerataumTZum/Pz8Msvs2LFD7du3d/8cGBiodu3aKSMjozZLBQAAdZjfXCK87LLLFB8fryeeeEI///yzkpOTNWPGDD355JMey7lcLoWFhXmMhYWFKScnp9Lbys7OltPp9BhzOBoqMjLyzHcAtc7hqP3//wgKCvT4DsC72PG84C98rbd%2BE7DS09Pd/33xxRdr0qTKGdM8AAATw0lEQVRJuuuuuzRz5kzVq1fPY1ljTLW3lZaW5jGWlJSkcePGVWu9qF3/k7rJ7hIAeBmeF2pOeHiw3SVYym8C1skuuOAClZSU6ODBg/rLX/7iHg8PD5fL5fJY1uVyqU2bNpVed2Jiovr06eMx5nA0VE5O2UuSAABANfY30q7g5hcBa%2BfOnVqxYoWmTJniHsvMzFS9evXKXLaLiorSjh07dP3110uSSkpKtHPnTg0fPrzS24uMjCyzXqczT8XFpdXYCwAAfJev/Y30rQueFWjSpInS09O1aNEiFRYWau/evXrqqaeUmJiooKAgDRgwQFu2bJEkjRo1Sm%2B99Za2bt2qgoICPfPMM6pXr54SEhLs3QkAAFBn%2BMUZrGbNmmnRokWaM2eOOzBdf/31mjBhgiRp7969Onr0qCSpZ8%2Beuu%2B%2B%2B5ScnKyDBw8qOjpaixYtUoMGDezcBQAAUIcEmOre0Y1KcTrz7C7BdgPnbba7BACAl1qd3L1G1tu0aaMaWe/p%2BMUlQgAAgNpEwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIs57C4A1TNw3ma7SwAAACfhDBYAAIDFCFgAAAAW85uAtX//fiUlJSkuLk7x8fGaMmWKcnNzyyy3fPlyXXrppYqOjvb42rZtmw1VAwCAushvAtadd96p0NBQrV%2B/XsuXL9f333%2BvJ554otxlY2NjlZGR4fHVsWPHWq4YAADUVX4RsHJzcxUVFaWJEycqODhY5557rq6//npt2bLF7tIAAIAP8ouAFRoaqlmzZumcc85xj2VlZSkyMrLc5bOysnTLLbcoNjZWffv21dtvv11bpQIAAB/gl2/TkJGRoSVLluiZZ54pMxcREaGWLVvqvvvuU%2BvWrbV27Vrdf//9ioyMVLdu3Sq1/uzsbDmdTo8xh6NhhYEOAAB/53D41jkfvwtYX375pe666y5NnDhR8fHxZeYTEhKUkJDg/nnw4MFau3atli9fXumAlZ6errS0NI%2BxpKQkjRs3rlq1AwDgq8LDg%2B0uwVJ%2BFbDWr1%2Bvv//975o2bZqGDBlS6cedf/752r59e6WXT0xMVJ8%2BfTzGHI6GysnJr/Q6AADwJzX1N9Ku4OY3Aeurr77S5MmT9dRTT6lHjx4VLvfaa68pLCxMgwYNco9lZmaqefPmld5WZGRkmcuBTmeeiotLq144AAB%2BwNf%2BRvrWBc8KFBcX66GHHtKkSZPKDVc333yzVq1aJUkqLCzUo48%2BqoyMDBUVFWnlypX66KOPNHLkyNouGwAA1FF%2BcQZr69atyszM1MyZMzVz5kyPuffee08///yzDh8%2BLEkaPXq08vPzNX78eDmdTl1wwQVasGCBoqKi7CgdAADUQQHGGGN3Ef7A6cyrkfXyYc8AAF%2BwOrl7jay3adNGNbLe0/GLS4QAAAC1iYAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFvObgLV//37dfvvtiouLU%2B/evTV79myVlpaWu%2BzixYvVv39/de7cWaNGjdL27dtruVoAAFCX%2BU3Auvfee9WsWTOtW7dOL774otatW6eXX365zHLr16/X/Pnz9eSTT%2Bo///mPevfurTvvvFNHjx61oWoAAFAX%2BUXAysjI0LfffqtJkyapUaNGatmypcaMGaP09PQyy6anp2vo0KHq1KmTGjRooLFjx0qSNmzYUNtlAwCAOsphdwG1YceOHTr//PMVFhbmHuvQoYP27t2rI0eOKCQkxGPZQYMGuX8ODAxUu3btlJGRocGDB1dqe9nZ2XI6nR5jDkdDRUZGVnNPAADwTQ6Hb53z8YuA5XK5FBoa6jF2Imzl5OR4BCyXy%2BURxE4sm5OTU%2BntpaenKy0tzWPsnnvu0b333lvV0k9ry2MDLF9nTcvOzlZ6eroSExMJnSehN%2BWjLxWjNxWjN%2BWjL7XDt%2BLiKRhjamTZ8iQmJmr58uUeX4mJidVapy9xOp1KS0src5YP9KYi9KVi9KZi9KZ89KV2%2BMUZrIiICLlcLo8xl8ulgIAARUREeIyHh4eXu2ybNm0qvb3IyEj%2BrwAAAD/mF2ewoqKilJWVpUOHDrnHMjIy1Lp1awUHB5dZdseOHe6fS0pKtHPnTnXq1KnW6gUAAHWbXwSs9u3bKzo6WnPmzNGRI0eUmZmpF198UaNGjZIkDRgwQFu2bJEkjRo1Sm%2B99Za2bt2qgoICPfPMM6pXr54SEhJs3AMAAFCXBE2fPn263UXUhiuvvFIrV67Uo48%2BqnfffVfDhw/XbbfdpoCAAD366KMaOHCgWrRooRYtWigkJESPPfaYnn76aRUWFmrOnDlq1qyZ3bvgU4KDg3X55ZeXOYMIelMR%2BlIxelMxelM%2B%2BlLzAkx17%2BgGAACAB7%2B4RAgAAFCbCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWKiyTZs2KT4%2BXhMmTCgzt3TpUvXv318xMTHq37%2B/XnnlFfdcaWmp5s6dq759%2Byo2Nla33Xabfv75Z/e8y%2BVScnKy4uPj1aNHD02dOlXHjh1zz%2B/atUs33XSTunTpon79%2BumFF16o2R2tov379yspKUlxcXGKj4/XlClTlJubK%2Bn0ta9atUrXXHONYmJiNHToUH388cfuuer2zRucqjfffvutxowZo65du6pnz5567LHHVFhY6H7sJ598ouHDh6tz584aPHiwVqxY4bHuxYsXq3///urcubNGjRql7du3u%2BeOHz%2Bu//3f/1XPnj0VFxencePGKScnp3Z2uhJO1Zc/S0pKUp8%2BfTzG/PmYKSoq0uOPP664uDh17txZ48aNk8vlcj/Wn3vzySefaMSIEercubN69uypGTNmqKCgwP1YX%2B%2BNVzFAFSxatMj069fPjBw50iQnJ3vMbdy40XTq1Mls3brVlJSUmK1bt5pOnTqZDRs2GGOMWbx4sendu7fZs2ePycvLM4888oi55pprTGlpqTHGmHvuucfcfvvt5uDBg%2BbAgQMmMTHRPProo8YYYwoKCsyVV15p5s%2Bfb/Lz88327dvN5Zdfbt5///1a3f9Tufrqq82UKVPMkSNHTFZWlhk6dKh58MEHT1v7zp07TVRUlNm4caM5duyYefvtt02nTp1MVlaWMaZ6ffMWFfXmyJEjpnv37uYf//iHOX78uNmzZ4/p3bu3WbBggTHGmN9%2B%2B81cdtll5vXXXzfHjh0zmzdvNh07djTbtm0zxhjzwQcfmK5du5qtW7eagoIC8%2Byzz5ru3bub/Px8Y4wxs2bNMkOHDjW//vqrycnJMffcc4%2B54447bOvDySrqy5%2BtX7/edOnSxfTu3ds95s/HjDHGpKSkmFGjRpkDBw6YgwcPmuTkZPPss88aY/y7NwcPHjSXXXaZWbp0qSkqKjJZWVnmmmuuMSkpKcYY/%2BiNNyFgoUpefvllk5ubayZPnlwmYKWlpZnhw4d7jI0YMcL9x3Lw4MHm5Zdfds/l5eWZ9u3bm6%2B//to4nU5z6aWXml27drnnP/zwQ3PZZZeZwsJCs3r1anPFFVeY4uJi9/zs2bPNrbfeWhO7WWWHDx82U6ZMMU6n0z32yiuvmH79%2Bp229hkzZpikpCSP9Y0YMcL9B6M6ffMGp%2BrNTz/9ZKZMmWKKiorccykpKeaWW24xxhjz/PPPmyFDhnisLzk52UybNs0YY8ztt99uHn/8cfdcSUmJ6d69u1m5cqUpKioyXbp0MevWrXPP79mzx7Rt29YcOHCgRva1Kk7VlxOOHj3qDpx/Dlj%2BfMwUFBSYTp06me3bt5f7WH/uzRdffGEuueQSU1BQ4J6bPXu2ufnmm40xvt8bb8MlQlTJ6NGj1ahRo3LnrrzySu3Zs0efffaZCgsL9fXXXyszM1M9evTQsWPHtGfPHrVv3969fEhIiFq0aKGMjAzt2rVLQUFBatu2rXu%2BQ4cOOnr0qH744Qft2LFDbdu2VVBQkHu%2Bffv2HpeD7BQaGqpZs2bpnHPOcY9lZWUpMjLytLXv2LHDoy8n5jMyMqrdN29wqt5ceOGFmjVrlhwOh8dcs2bNJFXcm4p6FxgYqHbt2ikjI0P79u1TXl6eOnTo4J6/%2BOKL1aBBA%2B3YsaNG9rUqTtWXE9LS0hQbG6suXbp4PNafj5kdO3aouLhY33//vfr27atu3brpoYce0tGjRyX5d2/atWunyMhIvfrqqzp%2B/Lh%2B%2BeUXffjhh0pISJDk%2B73xNgQsWKZjx4564IEHdOuttyo6Olo33XSTkpOT1bFjRx0%2BfFjGGIWFhXk8JiwsTDk5OXK5XAoJCVFAQIDHnCT3fGhoqMdjGzduLJfLpdLS0prfuSrKyMjQkiVLdNddd522dpfLVWFfqts3b/Tn3pzsgw8%2B0IYNG3TrrbdKUoW9O7Fvp%2BrdiXtyTn58aGioV/bm5L589913evPNN3X//feXWdafj5nffvtN0h/3gr7xxhtasmSJPv/8c82dO1eSf/cmODhYCxYs0KJFi9SxY0f17dtXbdq00c033yzJ/3pjNwIWLPPpp59qzpw5ev7557Vt2za9/PLLWrhwodatW%2BdexhhT4eNPNVeRP/%2Bye4svv/xSt912myZOnKj4%2BPgKl/tz7afbd6v7ZpdT9WbNmjWaNGmSnnzySbVp06bS66xO77zFyX0xxmj69Om655571KRJk3If46/HjDFGRUVFSk5OVuPGjXXxxRfr1ltv1erVq92P8dfeHDp0SHfffbfuvvtuff3111q7dq1%2B/fVXpaSkuB/jL73xBgQsWOa1115Tv3791K1bN9WvX19du3bV4MGDtWzZMjVu3FiBgYEer/SR/vg/qiZNmigiIkJHjhxRSUmJx5wk9/zJ/5fkcrnc6/UW69ev1%2B23364HH3xQo0ePlqTT1h4eHl5uXyIiIqrdN29SXm9OSE9P19SpUzV//nz179/fPV5eb3JychQREVHh/InenVjm5PnDhw97VW/K68uyZctUXFyskSNHlvsYfz5mTlwa%2B/OtCueff74OHTokY4xf92b16tUKDg7W6NGj1bBhQ1144YUaO3asXn/9dUn%2Bc9x4C%2B/5y4Q6r7S01OOXT5L75fb169dXmzZtPO59yc3N1b59%2B9SxY0e1a9dOxhh9%2B%2B237vmMjAyFhoaqVatWioqK0u7du1VcXOwx36lTpxreq8r76quvNHnyZD311FMaMmSIe/x0tUdFRZW5l%2BzEfHX75i0q6o0kvffee5o7d64WL16sHj16eMxFR0eX6c327ds9evfn3pSUlGjnzp3q1KmTmjdvrrCwMI/57777ToWFhYqKirJ6F89IRX1ZsWKFvv/%2Be3Xr1k1xcXG6%2B%2B67lZWVpbi4OH355Zd%2BfcxcfPHFCggI0K5du9xj%2B/fv17nnnquAgAC/7k1paWmZWyYKCwvdZ8v9oTdepVZupYfPKe9VhMuXLzedO3c2X3zxhSkqKjLffPONufzyy82yZcuMMca8%2BuqrJiEhwf0S4GnTpplhw4a5H5%2BcnGzGjh1rDh48aLKyssywYcPcLy8%2Bfvy46d27t3n66afN0aNHzdatW03Xrl3dbwFht6KiIjNw4EDzr3/9q8zc6WrfvXu3iY6ONhs2bDDHjh0zr7/%2BuomJiTHZ2dnGmOr1zRucqje5ubkmLi7OfPTRR%2BU%2B9vfffzcxMTHm3//%2Btzl27JjZuHGj6dixo/uVTB9%2B%2BKHp0qWL%2Bfrrr83Ro0fN/PnzTa9evdyvopo9e7a5/vrrza%2B//moOHTpk7rjjDnPvvffW3M5Wwan6cuLf8sTXqlWrTM%2BePU1WVpY5fvy4Xx8zxhiTlJRkhg8fbrKzs82%2BfftMv379zPz5840x/v379MMPP5ioqCizdOlSc/z4cZOVlWVuuOEGc//99xtjfL833oaAhSqJiooyUVFR5tJLLzWXXnqp%2B%2BcTXnrpJdOvXz/TqVMn069fP/P888%2B730OltLTUPPXUU6Zbt26mY8eO5m9/%2B5v7/VeM%2BeOP7YQJE8xll11mYmNjzYwZM8zx48fd87t37zYjR440UVFRJiEhwSxdurT2dvw0Trw8%2BkQ//vz1yy%2B/nLb2999/3/Tr18906NDBXHfddebzzz93z1W3b3Y7VW%2BWL19e4dwJn3/%2Bubn22mtNhw4dTL9%2B/cq899nSpUtNr169TFRUlBk1apTZvXu3e%2B748eNm%2BvTpJjY21sTExJj77rvP5Obm1tq%2Bn8rpjpk/%2B/TTTz3epsEY/z1mfvnlF3P48GEzYcIEExMTY7p27WpSUlI83irAn3vz8ccfm%2BHDh5uYmBhz5ZVXmmnTpnkc877cG28TYAx3rQEAAFiJe7AAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAs9v9lr4nGsAfPTQAAAABJRU5ErkJggg%3D%3D\"/>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common6449003649696001458\">\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">17411.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">25295.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">21819.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">26092.2</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">24706.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">27497.6</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">17358.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">20963.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">23875.3</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">20724.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"other\">\n", | |
| " <td class=\"fillremaining\">Other values (91)</td>\n", | |
| " <td class=\"number\">91</td>\n", | |
| " <td class=\"number\">90.1%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"extreme6449003649696001458\">\n", | |
| " <p class=\"h4\">Minimum 5 values</p>\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">16696.6</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">17358.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">17411.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">17993.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">18260.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " <p class=\"h4\">Maximum 5 values</p>\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">28388.6</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">28427.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">28663.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">28674.2</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">29040.3</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| "</div><div class=\"row variablerow\">\n", | |
| " <div class=\"col-md-3 namecol\">\n", | |
| " <p class=\"h4 pp-anchor\" id=\"pp_var_Gross Fixed CapitalFormation\">Gross Fixed CapitalFormation<br/>\n", | |
| " <small>Numeric</small>\n", | |
| " </p>\n", | |
| " </div><div class=\"col-md-6\">\n", | |
| " <div class=\"row\">\n", | |
| " <div class=\"col-sm-6\">\n", | |
| " <table class=\"stats \">\n", | |
| " <tr>\n", | |
| " <th>Distinct count</th>\n", | |
| " <td>101</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Unique (%)</th>\n", | |
| " <td>100.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Infinite (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Infinite (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| "\n", | |
| " </div>\n", | |
| " <div class=\"col-sm-6\">\n", | |
| " <table class=\"stats \">\n", | |
| "\n", | |
| " <tr>\n", | |
| " <th>Mean</th>\n", | |
| " <td>32794</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Minimum</th>\n", | |
| " <td>23358</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Maximum</th>\n", | |
| " <td>42338</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Zeros (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| "<div class=\"col-md-3 collapse in\" id=\"minihistogram6159862228536662684\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAASZJREFUeJzt3cEJwkAQQFEjlmQR9uTZnizCnmID8jFCcNm8dw/s5TOEZJJlXdf1BHx0/vcBYGSXfx9gZtf7c/M1r8dth5PwKxMEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCBYmJrA1sUsS1nfM0EgCASCQCAc9h5k1A8q/HIu9mOCQBAIBIFAEAgEgUAQCASBQBAIhGWG/4N4uDamGV6KNEEgCASCQCAIBIJAIBz2dXf2N%2BpKwRYmCIThJohnGozEBIEgEAgCgSAQCAKBIBAIAoEgEAhTLEzBXkwQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCG8%2Brh5goFJJOQAAAABJRU5ErkJggg%3D%3D\">\n", | |
| "\n", | |
| "</div>\n", | |
| "<div class=\"col-md-12 text-right\">\n", | |
| " <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives6159862228536662684,#minihistogram6159862228536662684\"\n", | |
| " aria-expanded=\"false\" aria-controls=\"collapseExample\">\n", | |
| " Toggle details\n", | |
| " </a>\n", | |
| "</div>\n", | |
| "<div class=\"row collapse col-md-12\" id=\"descriptives6159862228536662684\">\n", | |
| " <ul class=\"nav nav-tabs\" role=\"tablist\">\n", | |
| " <li role=\"presentation\" class=\"active\"><a href=\"#quantiles6159862228536662684\"\n", | |
| " aria-controls=\"quantiles6159862228536662684\" role=\"tab\"\n", | |
| " data-toggle=\"tab\">Statistics</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#histogram6159862228536662684\" aria-controls=\"histogram6159862228536662684\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#common6159862228536662684\" aria-controls=\"common6159862228536662684\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#extreme6159862228536662684\" aria-controls=\"extreme6159862228536662684\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n", | |
| "\n", | |
| " </ul>\n", | |
| "\n", | |
| " <div class=\"tab-content\">\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles6159862228536662684\">\n", | |
| " <div class=\"col-md-4 col-md-offset-1\">\n", | |
| " <p class=\"h4\">Quantile statistics</p>\n", | |
| " <table class=\"stats indent\">\n", | |
| " <tr>\n", | |
| " <th>Minimum</th>\n", | |
| " <td>23358</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>5-th percentile</th>\n", | |
| " <td>26208</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Q1</th>\n", | |
| " <td>29769</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Median</th>\n", | |
| " <td>32267</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Q3</th>\n", | |
| " <td>35999</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>95-th percentile</th>\n", | |
| " <td>40046</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Maximum</th>\n", | |
| " <td>42338</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Range</th>\n", | |
| " <td>18980</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Interquartile range</th>\n", | |
| " <td>6230</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " <div class=\"col-md-4 col-md-offset-2\">\n", | |
| " <p class=\"h4\">Descriptive statistics</p>\n", | |
| " <table class=\"stats indent\">\n", | |
| " <tr>\n", | |
| " <th>Standard deviation</th>\n", | |
| " <td>4468.2</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Coef of variation</th>\n", | |
| " <td>0.13625</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Kurtosis</th>\n", | |
| " <td>-0.61601</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Mean</th>\n", | |
| " <td>32794</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>MAD</th>\n", | |
| " <td>3645.6</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"\">\n", | |
| " <th>Skewness</th>\n", | |
| " <td>0.082671</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Sum</th>\n", | |
| " <td>3312200</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Variance</th>\n", | |
| " <td>19965000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Memory size</th>\n", | |
| " <td>888.0 B</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram6159862228536662684\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzt3XtYlXW%2B/vGbg1oeUKlQt1E62zTl4FkSNYQKNUfHY9hcbrMstUjTNDXNfeWUwaRux0Qra2o8TIm53Y6Rpplph3FqT5nicfK0dRgcSCHUQAS%2Bvz/8sXIJCI1fXDxrvV/X5R9%2Bn7UePrfPsxa3z1os/IwxRgAAALDG39MDAAAAeBsKFgAAgGUULAAAAMsoWAAAAJZRsAAAACyjYAEAAFhGwQIAALCMggUAAGAZBQsAAMAyChYAAIBlFCwAAADLKFgAAACWUbAAAAAso2ABAABYRsECAACwjIIFAABgGQULAADAMgoWAACAZRQsAAAAyyhYAAAAllGwAAAALKNgAQAAWEbBAgAAsIyCBQAAYBkFCwAAwDIKFgAAgGUULAAAAMsoWAAAAJZRsAAAACyjYAEAAFhGwQIAALCMggUAAGAZBQsAAMAyChYAAIBlFCwAAADLKFgAAACWUbAAAAAso2ABAABYRsECAACwLNDTA/iK7Oyz8vf3U3BwPZ05c14lJcbTI1UbX8jpCxkl38hJRu/hCzl9IaNkN%2BcttzSwNNXPwxWs68jf309%2Bfn7y9/fz9CjVyhdy%2BkJGyTdyktF7%2BEJOX8goeUdOChYAAIBlFCwAAADLKFgAAACWUbAAAAAso2ABAABYRsECAACwjIIFAABgGQULAADAMgoWAACAZRQsAAAAyyhYAAAAllGwAAAALKNgAQAAWBbo6QEA%2BJ5%2Bv/vC0yP8LJsm9fD0CAAchitYAAAAllGwAAAALKNgAQAAWEbBAgAAsIyCBQAAYBkFCwAAwDIKFgAAgGUULAAAAMsoWAAAAJZRsAAAACyjYAEAAFhGwQIAALCMggUAAGAZBQsAAMAyChYAAIBlFCwAAADLKFgAAACWUbAAAAAso2ABAABYRsECAACwjIIFAABgGQULAADAMp8tWBkZGUpMTFRUVJSio6M1Y8YM5eXlSZIOHDigkSNHqnPnzoqPj9dbb73l4WkBAICT%2BGzBGj9%2BvIKCgrRt2zatW7dO3333nX7729%2BqoKBA48aN01133aXPPvtMCxcu1Ouvv64tW7Z4emQAAOAQPlmw8vLyFB4erilTpqhevXpq2rSpBg8erL/%2B9a/avn27Ll68qMcff1x169ZVWFiYhg8frtTUVE%2BPDQAAHMInC1ZQUJCSkpJ08803u9YyMzMVEhKiffv2qU2bNgoICHBta9eunfbu3euJUQEAgAMFenqAmiA9PV2rVq3Sq6%2B%2Bqk2bNikoKMhte6NGjZSbm6uSkhL5%2B1feSbOyspSdne22FhhYV82aNZUkBQR4d68tzefNOX0ho%2BQ7OSsTGOjs/L5yHH0hpy9klLwjp88XrK%2B//lqPP/64pkyZoujoaG3atKnc2/n5%2BVV5n6mpqUpJSXFbS0xM1MSJEyVJQUE3/usDO4gv5PSFjJLv5KxI48b1PD2CFb5yHH0hpy9klJyd06cL1rZt2/TMM89o9uzZGjRokCQpODhYx48fd7tdbm6uGjVqVKWrV5KUkJCguLg4t7XAwLrKy8tXUNCNysvLV3FxiZUMNVFAgL/X5/SFjJLv5KxMTs55T49wTXzlOPpCTl/IKNnN6an/IPlswfrmm280ffp0LVq0SD179nSth4eH691331VRUZECAy/986Snp6t9%2B/ZV3ndISIhCQkLc1rKzz7pOkuLiEhUVee8Do5Qv5PSFjJLv5KyIt2T3lePoCzl9IaPk7JzOfXHzGhQVFem5557T1KlT3cqVJMXExKh%2B/fp69dVXlZ%2Bfr927d2vt2rV68MEHPTQtAABwGp8sWN9%2B%2B62OHDmiF198UREREW5/srOz9dprr%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%2Be7La%2Bbt063XnnnYqIiHD7s2fPHg9NCgAAnCbQ0wN4whtvvKG1a9fq9ttvL3d7165dtXLlyus8FQAA8BY%2BeQWrTp06Vy1YAAAA18Inr2CNGjXqqtszMzP18MMPa%2B/evQoKCtLEiRP1q1/9qsr7z8rKUnZ2tttaYGBdNWvWVJIUEODdvbY0nzfn9IWMku/krExgoLPz%2B8px9IWcvpBR8o6cPlmwriY4OFgtWrTQ008/rVatWumjjz7StGnTFBISou7du1dpH6mpqUpJSXFbS0xM1MSJEyVJQUE3Wp%2B7JvKFnL6QUfKdnBVp3Liep0ewwleOoy/k9IWMkrNzUrCu0Lt3b/Xu3dv19/79%2B%2Bujjz7SunXrqlywEhISFBcX57YWGFhXeXn5Cgq6UXl5%2BSouLrE5do0SEODv9Tl9IaPkOzkrk5Nz3tMjXBNfOY6%2BkNMXMkp2c3rqP0gUrCpo3ry59u7dW%2BXbh4SEKCQkxG0tO/us6yQpLi5RUZH3PjBK%2BUJOX8go%2BU7OinhLdl85jr6Q0xcySs7O6dwXN6vJu%2B%2B%2Bq40bN7qtHTlyRKGhoR6aCAAAOA0F6wqFhYV64YUXlJ6erosXLyotLU2ffvqpRowY4enRAACAQ/jkS4QRERGSpKKiIknS1q1bJUnp6ekaNWqUzp8/r6eeekrZ2dm69dZbtWTJEoWHh3tsXgAA4Cw%2BWbDS09Mr3Obn56cnnnhCTzzxxHWcCAAAeBNeIgQAALCMggUAAGAZBQsAAMAyChYAAIBlFCwAAADLKFgAAACWUbAAAAAs88nPwQIAb9bvd194eoQq2zSph6dHAKqFo65gxcXFKSUlRZmZmZ4eBQAAoEKOKlhDhw7Vxo0bde%2B99%2BrRRx/Vli1bXL/uBgAAoKZwVMFKTEzUxo0btWbNGt1xxx166aWXFBMTo3nz5unYsWOeHg8AAECSwwpWqbCwME2fPl2ffPKJZs6cqTVr1uj%2B%2B%2B/XmDFjtGfPHk%2BPBwAAfJwjC9bFixe1ceNGPfbYY5o%2BfbqaNGmiZ599Vm3bttXo0aP1/vvve3pEAADgwxz1U4RHjhzR2rVrtX79ep0/f159%2BvTR8uXL1blzZ9dtunbtqueff14DBgzw4KQAAMCXOapg9e/fXy1bttS4ceM0aNAgNWrUqMxtYmJidObMGQ9MBwAAcImjCtaKFSvUrVu3Sm%2B3e/fu6zANAABA%2BRz1Hqw2bdpo/Pjx2rp1q2vtD3/4gx577DHl5uZ6cDIAAICfOKpgJSUl6ezZs2rVqpVrrXfv3iopKVFycrIHJwMAAPiJo14i/Pzzz/X%2B%2B%2B%2BrcePGrrUWLVpo/vz5%2BuUvf%2BnByQAAAH7iqCtYBQUFqlOnTpl1f39/5efne2AiAACAshxVsLp27ark5GT98MMPrrV//vOfmjNnjttHNQAAAHiSo14inDlzph555BF1795d9evXV0lJic6fP6/Q0FCtXLnS0%2BMBAABIcljBCg0N1QcffKBPP/1UJ06ckL%2B/v1q2bKmePXsqICDA0%2BMBAABIcljBkqTatWvr3nvv9fQYAAAAFXJUwTp58qQWLFig7777TgUFBWW2f/zxxx6YCgAAwJ2jCtbMmTOVlZWlnj17qm7dup4eBwAAoFyOKlh79%2B7Vxx9/rODgYE%2BPAgAAUCFHfUzDTTfdxJUrAABQ4zmqYI0bN04pKSkyxnh6FAAAgAo56iXCTz/9VN98843WrVunW2%2B9Vf7%2B7v1w9erVHpoMAADgJ44qWPXr19fdd9/t6TEAAACuylEFKykpydMjAAAAVMpR78GSpKNHj2rx4sV69tlnXWu7du3y4EQAAADuHFWwdu7cqYEDB2rLli1KS0uTdOnDR0eNGsWHjAIAgBrDUQVr4cKFeuaZZ/T%2B%2B%2B/Lz89P0qXfT5icnKwlS5Z4eDoAAIBLHPUerL/97W9atWqVJLkKliT17dtXM2fO9NRY8FL9fveFp0f4WTZN6uHpEbyW084FAJ7nqCtYDRo0KPd3EGZlZal27doemAgAAKAsRxWsTp066aWXXtK5c%2Bdca8eOHdP06dPVvXt3D04GAADwE0e9RPjss8/qoYceUlRUlIqLi9WpUyfl5%2BfrjjvuUHJysqfHAwAAkOSwgtW0aVOlpaVpx44dOnbsmG644Qa1bNlSPXr0cHtPFgAAgCc5qmBJUq1atXTvvfd6egwAAIAKOapgxcXFXfVKFZ%2BFBQAAagJHFaz777/frWAVFxfr2LFjSk9P10MPPeTByQAAAH7iqII1derUctc3b96sL7/88jpPAwAAUD5HfUxDRe6991598MEHnh4DAABAkpcUrP3798sY4%2BkxAAAAJDnsJcIRI0aUWcvPz9eRI0cUHx/vgYkAAADKclTBatGiRZmfIqxTp46GDRum4cOHe2gqAAAAd44qWHxaOwAAcAJHFaz169dX%2BbaDBg2qxkkAAAAq5qiCNWvWLJWUlJR5Q7ufn5/bmp%2BfHwULAAB4jKMK1ptvvqm33npL48ePV5s2bWSM0aFDh/TGG29o5MiRioqK8vSIAAAAzipYycnJWrZsmZo0aeJa69Kli0JDQzVmzBilpaV5cDoAAIBLHPU5WMePH1fDhg3LrAcFBSkjI8MDEwEAAJTlqILVvHlzJScnKycnx7WWl5enBQsW6LbbbvPgZAAAAD9x1EuEM2fO1JQpU5Samqp69erJ399f586d0w033KAlS5Z4ejwAAABJDitYPXv21Pbt27Vjxw6dOnVKxhg1adJEvXr1UoMGDTw9HgAAgCSHFSxJuvHGG3XPPffo1KlTCg0N9fQ4AAAAZTjqPVgFBQWaPn26OnbsqH79%2Bkm69B6sRx99VHl5eT9rX5999pmio6M1efLkMts2btyoAQMGqGPHjhoyZIg%2B//xzK/MDAADf4KiCNW/ePB04cEDz58%2BXv/9PoxcXF2v%2B/PlV3s8bb7yhF198UbfffnuZbQcOHND06dM1depU/eUvf9Ho0aP15JNP6tSpU1YyAAAA7%2BeogrV582a98sor6tu3r%2BuXPgcFBSkpKUlbtmyp8n7q1KmjtWvXlluw3nvvPcXExCgmJkZ16tTRwIED1bp1a23YsMFaDgAA4N0c9R6s8%2BfPq0WLFmXWg4OD9eOPP1Z5P6NGjapw2759%2BxQTE%2BO21q5dO6Wnp1d5/1lZWcrOznZbCwysq2bNmkqSAgIc1Wt/ttJ83p6zpgkMtP/vzbFEdbN53vrC%2BeoLGSXvyOmognXbbbfpyy%2B/VFRUlNvvHvzwww/1b//2b1a%2BRm5ubpkPM23YsKEOHz5c5X2kpqYqJSXFbS0xMVETJ06UJAUF3XjtgzqAr%2BSsKRo3rldt%2B%2BZYorpUx3nrC%2BerL2SUnJ3TUQXr17/%2BtSZMmKChQ4eqpKREb7/9tvbu3avNmzdr1qxZ1r7Olb9M%2BudKSEhQXFyc21pgYF3l5eUrKOhG5eXlq7i45Jq%2BRk0WEODvEzlrmpyc89b3ybFEdbN53vrC%2BeoLGSW7OavzP59X46iClZCQoMDAQK1atUoBAQF67bXX1LJlS82fP199%2B/a18jUaN26s3Nxct7Xc3FwFBwdXeR8hISEKCQlxW8vOPus6SYqLS1RU5L0PjFK%2BkrOmqM5/a44lqkt1nFe%2BcL76QkbJ2TkdVbDOnDmjoUOHaujQodX2NcLDw7V37163tfT0dPXv37/aviYAAPAujnr32D333HPNL99V5oEHHtCf//xnbd%2B%2BXRcuXNDatWt1/PhxDRw4sFq/LgAA8B6OuoIVFRWlTZs26f7777%2Bm/UREREiSioqKJElbt26VdOlKVevWrTV//nwlJSUpIyNDrVq10uuvv65bbrnl2oYHAAA%2Bw1EFq1mzZpo7d66WLVum2267TbVq1XLbvmDBgirtp7KPXIiPj1d8fPy/PCcAAPBtjipYhw8f1i9%2B8QtJUk5OjoenAQAAKJ8jCtbkyZO1cOFCrVy50rW2ZMkSJSYmenAqAACA8jniTe7btm0rs7Zs2TIPTAIAAFA5RxSs8n5ysLp/mhAAAOBf5YiCVfqLnStbAwAAqAkcUbAAAACchIIFAABgmSN%2BivDixYuaMmVKpWtV/RwsAACA6uSIgtW5c2dlZWVVugYAAFATOKJgXf75VwAAADUd78ECAACwjIIFAABgGQULAADAMgoWAACAZRQsAAAAyyhYAAAAllGwAAAALKNgAQAAWEbBAgAAsIyCBQAAYBkFCwAAwDI/Y4zx9BC%2BIDv7rAID/dW4cT3l5JxXUVGJp0eqNhXl7Pe7Lzw4FQD4nk2Tenh6hH%2BJze%2BXt9zSwNJUPw9XsAAAACyjYAEAAFhGwQIAALCMggUAAGAZBQsAAMAyChYAAIBlFCwAAADLKFgAAACWUbAAAAAso2ABAABYRsECAACwjIIFAABgGQULAADAMgoWAACAZRQsAAAAyyhYAAAAllGwAAAALKNgAQAAWEbBAgAAsIyCBQAAYBkFCwAAwDIKFgAAgGUULAAAAMsoWAAAAJZRsAAAACyjYAEAAFhGwQIAALCMggUAAGAZBQsAAMAyChYAAIBlFCwAAADLKFgAAACWUbAAAAAso2ABAABYRsECAACwjIIFAABgWaCnB6iJ2rRpo1q1asnPz8%2B19sADD2j27NkenAoAADgFBasCH374oW699VZPjwEAAByIlwgBAAAso2BVYMGCBerdu7e6dOmi2bNn6/z5854eCQAAOAQvEZajQ4cOio6O1m9/%2B1udPHlSkyZN0pw5c/Tyyy9X6f5ZWVnKzs52WwsMrKtmzZpKkgICvLvXlubz9pwAUNMFBjrzedgbvo/4GWOMp4eo6Xbs2KHHH39c3377rWrXrl3p7RcvXqyUlBS3tcTERE2cOLG6RnSELrM%2B9PQIAIAa6q9z%2B3p6BKu4glUFt956q4qLi3X69Gk1a9as0tsnJCQoLi7ObS0wsK7y8vIVFHSj8vLyVVxcUl3jelxAgL9P5AQA2JOT89NbcWx%2BH2ncuN61jvYvoWBdYf/%2B/dqwYYNmzJjhWjty5Ihq166tkJCQKu0jJCSkzG2zs8%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%2BfVrjxo3TzTffrIcfftjTowEAAAfgCtYV0tPTdfDgQU2dOlUNGjRQixYtNHr0aKWmpnp6NAAA4BBcwbrCvn371Lx5czVs2NC1FhYWpmPHjuncuXOqX79%2BpfvIyspSdna221pgYF01a9ZUkhQQQK8FAOBygYE/fW8s/T7p5O%2BXFKwr5ObmKigoyG2ttGzl5ORUqWClpqYqJSXFbe3JJ59UQkKCli9/UwkJCQoJCbEy71/n9rWyH5uysrKUmppqNWdN4wsZJd/ISUbv4Qs5fSGjdCmn7e%2BX15tzq2E1MsZc0/0TEhK0bt06tz8JCQnKzs5WSkpKmatb3sYXcvpCRsk3cpLRe/hCTl/IKHlHTq5gXSE4OFi5ublua7m5ufLz81NwcHCV9hESElJu43byiQIAAKqOK1hXCA8PV2Zmps6cOeNaS09PV6tWrVSvXj0PTgYAAJyCgnWFdu3aKSIiQgsWLNC5c%2Bd05MgRvf3223rwwQc9PRoAAHCIgOeff/55Tw9R0/Tq1UtpaWl64YUX9MEHH2jYsGEaM2aM/Pz8rnnf9erVU7du3bz%2Bapgv5PSFjJJv5CSj9/CFnL6QUXJ%2BTj9zre/oBgAAgBteIgQAALCMggUAAGAZBQsAAMAyChYAAIBlFCwAAADLKFgAAACWUbAAAAAso2ABAABYRsECAACwjIJVRRkZGUpMTFRUVJSio6M1Y8YM5eXlSZIOHjyo0aNHq0uXLrr77rs1d%2B5cFRYWSpK%2B/PJLtWnTRhEREW5/Nm3a5Nr3ihUr1KdPH3Xq1EkPPvig9u7d69p24cIF/ed//qfuvvtuRUVFaeLEicrJybnuOf/%2B97%2BXm%2BP3v/%2B9674bN27UgAED1LFjRw0ZMkSff/65a1tJSYkWLlyoe%2B65R127dtWYMWN08uRJ1/bc3FxNmjRJ0dHR6tmzp2bNmqWCgoLrmnH9%2BvVl8oWHhysuLk6StG7dOt15551lbrNnz54al1G6dF4%2B9NBD6ty5s6KjozVp0iRlZ2dLknbu3Klhw4apU6dO6t%2B/vzZs2OB232s5JzMyMjR27FhFRUUpNjZW8%2BbNU0lJyXXP%2BNVXXykhIUGdOnVSXFycli5d6rqftxzL6n5%2BqQnHcunSpWXyhYWF6T/%2B4z8kSYsXL1bbtm3L3Ob777%2BvcRkv99JLL6lNmzauv3vLY/JKV%2Bb0psdlpQyq5Je//KWZMWOGOXfunMnMzDRDhgwxM2fONOfOnTM9evQw//Vf/2UuXLhgDh8%2BbGJjY82SJUuMMcb85S9/MbGxsRXu9%2BOPPzZdunQx3377rcnPzzevv/666dGjhzl//rwxxpikpCQzZMgQ849//MPk5OSYJ5980owbN%2B665zx58qRp3bp1hffbv3%2B/CQ8PN9u3bzcFBQXmT3/6k2nfvr3JzMw0xhizYsUKExsbaw4fPmzOnj1rfvOb35gBAwaYkpISY4wxTz75pBk7dqw5ffq0OXXqlElISDAvvPDCdc1Ynueee868/PLLxhhj/vu//9uMHDmywv3WpIwXLlww3bt3NykpKebChQvm9OnTZuTIkeaJJ54w//znP02HDh3Me%2B%2B9ZwoKCswXX3xhIiMjzZ49e4wx135ODh482Dz33HMmLy/PHDt2zMTHx5u33nrrumbMyMgwHTp0MO%2B8844pLCw0u3fvNp07dzbr1683xnjPsazu55eacCzL88gjj5g//vGPxhhjXnnlFTN9%2BvQK911TMl5u//79plu3bq7nVG95TFaW05sel1VBwaqCH374wcyYMcNkZ2e71lauXGni4%2BPN//3f/5kZM2aYixcvurYlJyebhx9%2B2BhTecEaO3aseemll1x/Ly4uNj169DBpaWnm4sWLpnPnzmbr1q2u7YcPHzZt2rQxp06dshnRGHP1nJUVrDlz5pjExES3teHDh5vXX3/dGGNM//79zfLly13bzp49a9q1a2d27dplsrOzzZ133mkOHDjg2r5jxw7ToUMHU1hYaCueMebqGa%2B0e/du07NnT3P27FljTOUP/pqS0RhjcnNzzZo1a9zOy%2BXLl5v77rvPvPnmm2bQoEFut580aZKZPXu2Mebazsk9e/aYtm3bmtzcXNf2d955x/Tp0%2Be6Zty9e7d58cUX3W4/YcIE89xzzxljvOdYVufzS005llfatGmTGTBggCkqKjLGXL1g1aSMpYqLi83w4cPN0qVLXc%2Bp3vKYvFx5Ob3pcVkVvERYBUFBQUpKStLNN9/sWsvMzFRISIhuu%2B02JSUlKTAw0G1bkyZNXH8/f/686yWpXr166e2335b5/79je9%2B%2BfWrXrp3rtv7%2B/mrbtq3S09N14sQJnT17VmFhYa7t//7v/64bbrhB%2B/btu645S02bNk09e/bUXXfdpQULFujixYvl5pCkdu3aKT09XQUFBTp8%2BLDb9vr16%2Bv2229Xenq6Dhw4oICAALfLyGFhYfrxxx919OjR656x1Msvv6zx48erfv36brd9%2BOGH1bVrV91zzz3605/%2BJEk1KqMkNWzYUMOHD3edl0ePHtX//M//qF%2B/fhUeq9KXHK7lnNy3b5%2BaN2%2Buhg0buuU8duyYzp07d90yRkZGatasWW63v/Jx6Q3HUqq%2B55eaciwvV1xcrPnz52vKlCkKCAhwrR86dEgjRoxwvbxW%2BvaEmpSx1OrVq1WnTh0NGDDAteYtj8nLlZfTmx6XVRFY%2BU1wpfT0dK1atUqvvvpqmW0ff/yxPvnkE61du1bSpROgdevWeuihh7Rw4UJ99dVXeuqpp9SgQQMNGzZMubm5bie%2BdOnJJicnR7m5uZJNqAVLAAAIFElEQVQulYLLBQUFVev7sEpdnrN27drq2LGj7rvvPs2dO1cHDhzQhAkTFBgYqKeeeqrCHIcPH9YPP/wgY0yFORs1aqT69evLz8/PbZukas9Z0bH8%2Buuvdfz4cQ0bNsy1FhwcrBYtWujpp59Wq1at9NFHH2natGkKCQnRL37xixqZMSMjQ3369FFRUZEeeOABTZw4UY899pjbE5okNWrUyDXHtZyTubm5ZbZdnvPysmpLeRmvtHLlSp04cUIjRoyQ5D3H8uDBg9X2/FITj2VaWprq16%2BvmJgY11rTpk0VGhqqKVOmKCQkRKmpqRo/frw2bNhQ4zJ%2B//33Wrx4sVauXOm2npub61WPyYpyXskbHpdXwxWsn%2Bnrr7/WmDFjNGXKFEVHR7tt27Jli6ZOnaqXX35Zd9xxh6RLDXrlypXq1q2bateurZ49e2rEiBFat26d636l/9usSGXbq8OVOUNCQrR69Wrdd999qlWrliIjIzVu3DhrOWpCxsstX75cDzzwgOrUqeNa6927t9588021a9dOtWvXVv/%2B/XXfffdV%2Bd/AExmbN2%2Bu9PR0ffjhhzp%2B/LimTZtWpfs56VhWlnHVqlVatGiRli5d6rpy6S3HsrqfX2rasVy%2BfLnrze2lhg8frldeeUW33367brzxRo0ePVpt27Z1e5N4TcmYlJSkIUOGqFWrVj/7vk46jlXJ6S2Py6uhYP0M27Zt09ixYzVz5kyNGjXKbVtqaqpmzZqlxYsXq0%2BfPlfdT/PmzZWVlSVJaty4set/IKVyc3MVHBys4OBg198v98MPP%2Bimm2661jgVulrOyzVv3lzff/%2B9jDFXzdGoUSP5%2B/uXu/2mm25ScHCwzp07p%2BLiYrdtkqot59Uy5ufna8eOHa6fHrya0mNZEzOW8vPzU4sWLTR58mSlpaUpMDCwzJw5OTmu8%2B1azsng4OBy7%2Bvn5%2Be6b3W4MuOZM2ckSQsXLtRrr72mFStWqHPnzlfdhxOPZWnO8nJI3nUsT548qQMHDig2NrbSfZT%2BG9SkjDt37tSuXbuUmJhYZlt5x8mpj8mr5SzlbY/LilCwquibb77R9OnTtWjRIg0aNMht24cffqiFCxdqxYoV6tmzp9u2TZs26Z133nFbO3r0qEJDQyVJ4eHhbu%2BnKi4u1v79%2B9W%2BfXuFhoaqYcOGbtv/9re/qbCwUOHh4bYjSqo4586dO8u8jHb06FE1b95cfn5%2BCg8Pd/uxYenSy2/t27dXnTp1dMcdd7jlyMvL04kTJxQZGam2bdvKGKODBw%2B63TcoKEgtW7a8bhlLffHFF7rhhhvc3tMgSe%2B%2B%2B642btzotnbkyBGFhobWuIw7d%2B5Unz593H4U29//0sM9MjKyzLHau3ev2rdvL%2Bnazsnw8HBlZma6feNPT09Xq1atVK9eveuWsVatWnr77beVlpam1NTUMu9v8ZZjuWPHjmp7fqlJx1K69PaLtm3blikFS5cu1c6dO93WSo9lTcq4YcMGnT59WrGxsYqKitKQIUMkSVFRUWrdurVXPCYry/nBBx94zeOySqr9bfRe4OLFi6Zfv35m9erVZbbl5eWZqKgo8%2Bmnn5Z7348%2B%2BshERkaazz77zBQWFprPP//cdOjQwWzevNkYc%2BmnHDp37mx27dplfvzxR7N48WITExNj8vPzjTHGzJs3zwwePNj84x//MGfOnDHjxo0zEyZMuO4509PTTVhYmFm/fr0pLCw0e/bsMT169HD9qO%2BhQ4dMRESE%2BeSTT0xBQYF57733TMeOHU1WVpYx5tJPrfTu3dv147WzZ882Q4cOde1/0qRJ5tFHHzWnT582mZmZZujQoSY5Ofm6Ziy1aNEiM3jw4DLrf/jDH8xdd91l9uzZYwoLC837779v2rZta9LT02tURmMunZfR0dEmOTnZ/Pjjj%2Bb06dNmzJgx5te//rX5/vvvTceOHc2aNWtMQUGB2b59u4mMjHT99M21npPDhw83M2fONGfPnjWHDx82cXFxZtWqVdc144kTJ0yHDh3MoUOHyr2vtxzL6n5%2BqQnHstS0adPKfe6bO3eu6dOnjzly5IgpKCgwv//9701kZKTrI2JqSsbc3FyTmZnp%2BrNr1y7TunVrk5mZaTIyMrziMVlZzu%2B%2B%2B85rHpdVQcGqgv/93/81rVu3NuHh4WX%2BrFu3rsJtpVavXm3i4%2BNNRESEiY2NNWvWrHHb/x//%2BEcTExNjwsPDzYMPPuh28l24cME8//zzpmvXrqZjx47m6aefNnl5edc959///nezZcsWM3DgQBMZGWl69OhhXnvtNVNcXOy6/%2BbNm018fLwJCwszv/rVr8xXX33l2lZSUmIWLVpkunfvbiIjI81jjz3megI05tIT7OTJk02HDh1M165dzZw5c8yFCxeue0ZjjJk9e7YZO3ZsmfuWlJSYJUuWmNjYWBMeHm769u1rtm3bVuMyljp48KAZOXKkiYyMNHfddZeZNGmS6%2BM9vvrqKzNw4EATFhZm4uPjXd%2BQS13LOZmZmWkeffRRExkZaaKjo80rr7zi%2Bpya65UxJSXFtGnTpswxLv04Dm86ltX5/FITjmWpRx55xMyZM6fM/QoKCszcuXNNr169TEREhBk8eLD55ptvamTGy1350Tfe8pi80uU5ve1xWRk/Y2rYu8IAAAAcjvdgAQAAWEbBAgAAsIyCBQAAYBkFCwAAwDIKFgAAgGUULAAAAMsoWAAAAJZRsAAAACyjYAEAAFhGwQIAALCMggUAAGAZBQsAAMAyChYAAIBl/w9okiYfeL%2BNQwAAAABJRU5ErkJggg%3D%3D\"/>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common6159862228536662684\">\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">34355.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">32087.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">23475.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">34754.2</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">28972.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">25539.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">38488.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">38986.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">32978.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">32090.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"other\">\n", | |
| " <td class=\"fillremaining\">Other values (91)</td>\n", | |
| " <td class=\"number\">91</td>\n", | |
| " <td class=\"number\">90.1%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"extreme6159862228536662684\">\n", | |
| " <p class=\"h4\">Minimum 5 values</p>\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">23358.0</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">23475.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">24431.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">24642.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">25539.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " <p class=\"h4\">Maximum 5 values</p>\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">40580.6</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">41114.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">41399.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">42001.0</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">42337.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| "</div><div class=\"row variablerow\">\n", | |
| " <div class=\"col-md-3 namecol\">\n", | |
| " <p class=\"h4 pp-anchor\" id=\"pp_var_Income from /to the Rest of the World (Net)\">Income from /to the Rest of the World (Net)<br/>\n", | |
| " <small>Numeric</small>\n", | |
| " </p>\n", | |
| " </div><div class=\"col-md-6\">\n", | |
| " <div class=\"row\">\n", | |
| " <div class=\"col-sm-6\">\n", | |
| " <table class=\"stats \">\n", | |
| " <tr>\n", | |
| " <th>Distinct count</th>\n", | |
| " <td>101</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Unique (%)</th>\n", | |
| " <td>100.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Infinite (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Infinite (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| "\n", | |
| " </div>\n", | |
| " <div class=\"col-sm-6\">\n", | |
| " <table class=\"stats \">\n", | |
| "\n", | |
| " <tr>\n", | |
| " <th>Mean</th>\n", | |
| " <td>2975.1</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Minimum</th>\n", | |
| " <td>900.6</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Maximum</th>\n", | |
| " <td>6007</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Zeros (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| "<div class=\"col-md-3 collapse in\" id=\"minihistogram-5492296450889564601\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAATNJREFUeJzt28FtwkAARcEQpaQUkZ5ypieKSE9LA%2BjJIMAb78wdaS9P3yvj0xhjfAA3fe59AJjZ194HeIbv38vdv/k7/7zgJByNBYEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBcIgvCh/hK0S2sCAQBAJBIBCWvYO8g3vO/2dBIAgEwnSPWI88lrzLrGe791we47azIBCmW5DVzbpSq7IgEAQCQSAQ3EEW5AXmdhYEggXhZY6wVBYEgkAgCASCQCC4pLPJqn%2BBsSAQBAJBIBAEAkEgEAQCQSAQBALhNMYYex8CZmVBIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIFwB8bMgOePOdyQAAAAASUVORK5CYII%3D\">\n", | |
| "\n", | |
| "</div>\n", | |
| "<div class=\"col-md-12 text-right\">\n", | |
| " <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-5492296450889564601,#minihistogram-5492296450889564601\"\n", | |
| " aria-expanded=\"false\" aria-controls=\"collapseExample\">\n", | |
| " Toggle details\n", | |
| " </a>\n", | |
| "</div>\n", | |
| "<div class=\"row collapse col-md-12\" id=\"descriptives-5492296450889564601\">\n", | |
| " <ul class=\"nav nav-tabs\" role=\"tablist\">\n", | |
| " <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-5492296450889564601\"\n", | |
| " aria-controls=\"quantiles-5492296450889564601\" role=\"tab\"\n", | |
| " data-toggle=\"tab\">Statistics</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#histogram-5492296450889564601\" aria-controls=\"histogram-5492296450889564601\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#common-5492296450889564601\" aria-controls=\"common-5492296450889564601\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#extreme-5492296450889564601\" aria-controls=\"extreme-5492296450889564601\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n", | |
| "\n", | |
| " </ul>\n", | |
| "\n", | |
| " <div class=\"tab-content\">\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-5492296450889564601\">\n", | |
| " <div class=\"col-md-4 col-md-offset-1\">\n", | |
| " <p class=\"h4\">Quantile statistics</p>\n", | |
| " <table class=\"stats indent\">\n", | |
| " <tr>\n", | |
| " <th>Minimum</th>\n", | |
| " <td>900.6</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>5-th percentile</th>\n", | |
| " <td>1172.8</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Q1</th>\n", | |
| " <td>1736.1</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Median</th>\n", | |
| " <td>2665.1</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Q3</th>\n", | |
| " <td>4000.2</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>95-th percentile</th>\n", | |
| " <td>5512.2</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Maximum</th>\n", | |
| " <td>6007</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Range</th>\n", | |
| " <td>5106.4</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Interquartile range</th>\n", | |
| " <td>2264.1</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " <div class=\"col-md-4 col-md-offset-2\">\n", | |
| " <p class=\"h4\">Descriptive statistics</p>\n", | |
| " <table class=\"stats indent\">\n", | |
| " <tr>\n", | |
| " <th>Standard deviation</th>\n", | |
| " <td>1393.8</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Coef of variation</th>\n", | |
| " <td>0.46851</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Kurtosis</th>\n", | |
| " <td>-0.78278</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Mean</th>\n", | |
| " <td>2975.1</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>MAD</th>\n", | |
| " <td>1182.1</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"\">\n", | |
| " <th>Skewness</th>\n", | |
| " <td>0.50277</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Sum</th>\n", | |
| " <td>300480</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Variance</th>\n", | |
| " <td>1942800</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Memory size</th>\n", | |
| " <td>888.0 B</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-5492296450889564601\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzt3X1cVHXe//E3MHmLQ2Chu2pqpaSCWkokWt613m5lmIv6aK1du7pZyjDdtMzLTFPaMGvFrayrNrMtWtctl8y7tHLbrt2sTLzdQtvMxZiUCURQGL6/P/o1V7OgoXyHIzOv5%2BPBg%2Bb7/c45n/MB7M05M4cIY4wRAAAArIl0ugAAAIBQQ8ACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJa5nC4gXHg8pQ2%2Bz8jICMXFtdSRI2WqrjYNvv9QRV/to6fBQV/to6fBEcy%2Bnn9%2BK6vbqyvOYIWwyMgIRUREKDIywulSQgp9tY%2BeBgd9tY%2BeBkco9pWABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWuZwuAOFj5OPvOV3CaXkzs7/TJQAAGinOYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYFjIB6%2BDBg8rIyFBKSopSU1M1c%2BZMlZSUSJJ2796tG2%2B8UX369NGwYcP03HPPnXQ71dXVWrx4sYYOHark5GRNnjxZBw4caKjDAAAAISBkAtbtt98ut9utTZs2adWqVfr000/1yCOPqKKiQrfddpuuuOIKbdmyRYsXL9bTTz%2Bt9evX17qdl156SX/5y1%2B0bNkybd68WZ06dVJGRoaMMQ18RAAAoLEKiYBVUlKixMRETZs2TS1btlTbtm11/fXXa%2BvWrXr77bdVWVmpO%2B64Qy1atFCPHj00btw45ebm1rqt3Nxc3XzzzbrooosUHR2tqVOnqqCgQJ988kkDHxUAAGisQiJgud1uLVy4UOedd55/rLCwUPHx8dq5c6cSEhIUFRXln%2Bvevbt27NhRYzsVFRX67LPP1L17d/9YdHS0OnbsqPz8/OAeBAAACBkupwsIhvz8fK1YsUJPPvmk3nzzTbnd7oD5c889V16vV9XV1YqM/L%2BM%2Bc0338gYo5iYmID1MTExKi4urvP%2Bi4qK5PF4AsZcrhaKj48/g6M5c1FRkQGfcXpcrtr7Rl/to6fBQV/to6fBEYp9DbmA9eGHH%2BqOO%2B7QtGnTlJqaqjfffLPWdRERESfdRn1fb5Wbm6ucnJyAsYyMDE2ZMqVe2z1TbndzR/bb2MXGtjzlPH21j54GB321j54GRyj1NaQC1qZNm/TrX/9as2fP1pgxYyRJcXFx%2BvzzzwPWeb1enXvuuQFnryT5x7xeb431rVu3rnMd6enpGjJkSMCYy9VCxcVlp3E09RcVFSm3u7lKSsrl81U36L5Dwcm%2BXvTVPnoaHPTVPnoaHMHs6w/9shwsIROwPvroI82YMUNPPPGEBgwY4B9PTEzUyy%2B/rKqqKrlc3x5ufn6%2BevXqVWMbTZs2VZcuXbRz505dfvnlkr59Af0XX3yhnj171rmW%2BPj4GpcDPZ5SVVU588Po81U7tu/G7Id6Rl/to6fBQV/to6fBEUp9DYmLnVVVVXrggQc0ffr0gHAlSQMHDlR0dLSefPJJlZeX65NPPtHKlSs1YcIESdJXX32lESNG%2BO91NWHCBC1fvlwFBQU6evSosrOz1a1bNyUlJTX4cQEAgMYpJM5gbdu2TQUFBZo/f77mz58fMLd27Vo99dRTmjNnjpYtW6bzzjtPU6dO1aBBgyRJlZWV2r9/v06cOCFJGj9%2BvDwej37%2B85%2BrrKxMKSkpNV5PBQAAcCoRhjtoNgiPp7TB9%2BlyRSo2tqWKi8vOilOuIx9/z%2BkSTsubmf1rHT/b%2BhoK6Glw0Ff76GlwBLOv55/fyur26iokLhECAACcTQhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlrmcLsCmLVu2aMaMGUpJSdHixYv94w888IBef/31gLU%2Bn0/XXXedFi5cWGM7Q4YMUVFRkSIiIvxj/fv311NPPRW84gEAQMgImYD1zDPPaOXKlerYsWONufnz52v%2B/Pn%2Bx1VVVRozZoxGjBhx0u39z//8j1JSUoJSKwAACG0hc4mwadOmJw1Y/%2BmFF17Qj3/8Yw0cOLABKgMAAOEmZM5gTZo0qU7rSkpK9NRTT%2BkPf/jDKdctX75cs2bN0uHDh3XllVdqzpw5at26dZ32UVRUJI/HEzDmcrVQfHx8nZ5vS1RUZMBnnB6Xq/a%2B0Vf76Glw0Ff76GlwhGJfQyZg1dWKFSuUnJysLl26nHRNt27d1LNnT/3mN79RSUmJZsyYobvvvlsrVqyo0z5yc3OVk5MTMJaRkaEpU6bUq/Yz5XY3d2S/jV1sbMtTztNX%2B%2BhpcNBX%2B%2BhpcIRSX8MqYPl8Pr300ktatGjRKdctXbrU/98tW7bUnDlzNGrUKH3xxRe64IILfnA/6enpGjJkSMCYy9VCxcVlZ1b4GYqKipTb3VwlJeXy%2BaobdN%2Bh4GRfL/pqHz0NDvpqHz0NjmD29Yd%2BWQ6WsApYH3zwgU6cOKG%2Bffue1vPatWsn6dtLf3UJWPHx8TUuB3o8paqqcuaH0eerdmzfjdkP9Yy%2B2kdPg4O%2B2kdPgyOU%2Bho6Fzvr4K233tIVV1whl%2BvkufLgwYOaM2eOTpw44R8rKCiQJHXo0CHoNQIAgMYvrALW7t271b59%2BxrjGzZs0MSJEyVJrVu31qZNm5SVlaVjx47pq6%2B%2B0sKFCzV48GC1adOmoUsGAACNUMhcIkxKSpL07T2uJGnjxo2SpPz8fP8aj8ej8847r8ZzS0tL9a9//UuS1KxZMz377LPKysrSVVddJUn6yU9%2Bovvuuy%2Bo9QMAgNARMgHr%2B0HqZNatW1freFpamtLS0vyPExIS9Pzzz1urDQAAhJewukQIAADQEAhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAy0IqYG3ZskWpqamaOnVqwPiqVat0ySWXKCkpKeBj%2B/bttW7H6/UqMzNTqampGjBggGbNmqWKioqGOAQAABACXE4XYMszzzyjlStXqmPHjrXOJycn68UXX6zTtmbPnq0TJ04oLy9PlZWVuvvuu5Wdna0HHnjAZskAACBEhcwZrKZNm54yYNXV119/rY0bN2rq1KmKi4tTmzZt9Ktf/Up/%2BtOfVFlZaalaAAAQykLmDNakSZNOOV9YWKhf/OIX2rFjh9xut6ZMmaLrrruuxrrdu3crKipKCQkJ/rEePXro2LFj2rdvX8D4yRQVFcnj8QSMuVwtFB8fX8ejsSMqKjLgM06Py1V73%2BirffQ0OOirffQ0OEKxryETsE4lLi5OnTp10j333KOLL75YGzZs0L333qv4%2BHj169cvYK3X61V0dLQiIiL8YzExMZKk4uLiOu0vNzdXOTk5AWMZGRmaMmVKPY/kzLjdzR3Zb2MXG9vylPP01T56Ghz01T56Ghyh1NewCFiDBg3SoEGD/I9Hjx6tDRs2aNWqVTUCliQZY%2Bq1v/T0dA0ZMiRgzOVqoeLisnpt93RFRUXK7W6ukpJy%2BXzVDbrvUHCyrxd9tY%2BeBgd9tY%2BeBkcw%2B/pDvywHS1gErNq0a9dOO3bsqDEeFxeno0ePyufzKSoqStK3Z7UkqXXr1nXadnx8fI3LgR5PqaqqnPlh9PmqHdt3Y/ZDPaOv9tHT4KCv9tHT4AilvobOxc5TePnll7VmzZqAsYKCAnXo0KHG2m7duskYoz179vjH8vPz5Xa71blz56DXCgAAGr%2BwCFgnTpzQvHnzlJ%2Bfr8rKSuXl5endd9/V%2BPHjJUkbNmzQxIkTJX17Bmv48OF6/PHHdeTIER06dEhLly7VDTfcIJcrbE/4AQCA0xAyiSEpKUmSVFVVJUnauHGjpG/PPk2aNEllZWW6%2B%2B675fF41L59ey1dulSJiYmSpNLSUv3rX//yb%2Buhhx7SnDlzNHToUJ1zzjn66U9/WuPmpQAAACcTYer7im7UicdT2uD7dLkiFRvbUsXFZWfFNe2Rj7/ndAmn5c3M/rWOn219DQX0NDjoq330NDiC2dfzz29ldXt1FRaXCAEAABoSAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDLHA9aQIUOUk5OjwsJCp0sBAACwwvGANXbsWK1Zs0ZXX321brnlFq1fv15VVVVOlwUAAHDGHA9YGRkZWrNmjV599VV16dJFCxYs0MCBA/Xoo49q//79TpcHAABw2hwPWN/p0aOHZsyYoc2bN%2Bv%2B%2B%2B/Xq6%2B%2BqlGjRmny5Mnavn270%2BUBAADUmcvpAr5TWVmpDRs2aNWqVfrf//1fderUSXfddZeKiop08803a%2B7cubrmmmucLhNhZOTj7zldwml5M7O/0yUAAP4/xwNWQUGBVq5cqddee01lZWUaPny4XnjhBfXp08e/Jjk5WQ8%2B%2BCABCwAANAqOB6zRo0erc%2BfOuu222zRmzBide%2B65NdYMHDhQR44ccaA6AACA0%2Bd4wFq%2BfLkuv/zyH1z3ySefnHJ%2By5YtmjFjhlJSUrR48eKAufXr1ysnJ0cHDhxQfHy8Jk%2BerJ/97Ge1bufnP/%2B5PvroI0VG/t/L0zp37qzVq1fX4WgAAADOgoCVkJCg22%2B/XTfccIOuvvpqSdLvf/97vffee3r00UdrPaP1n5555hmtXLlSHTt2rDG3fft2TZ8%2BXY899pgGDRqk9957TxkZGbrwwgvVt2/fWrc3b948paWl1e/AAABA2HL8XYQLFy5UaWmpLr74Yv/YoEGDVF1draysrDpto2nTpicNWF6vV7fddpuuvvpquVwuDRw4UF27dtXWrVutHQMAAMD3OX4G669//av%2B8pe/KDY21j/WqVMnZWdn66c//WmdtjFp0qSTzl111VW66qqr/I%2Brqqrk8XjUpk2bkz5nzZo1evbZZ1VYWKhevXrpoYce0gUXXFCnWgAAABwPWBUVFWratGmN8cjISJWXl1vfX3Z2tlq0aKFRo0bVOn/RRRepefPmys7OVnV1tebPn69bbrlFeXl5atKkSZ32UVRUJI/HEzDmcrVQfHx8ves/HVFRkQGfEdpcrsb7deZ7NTjoq330NDhCsa%2BOB6zk5GRlZWVp2rRpiomJkSR99dVXeuSRRwJu1VBfxhhlZ2crLy9Py5cvrzXUSdKDDz4Y8Pihhx5SSkqKPvzwQ/Xr169O%2B8rNzVVOTk7AWEZGhqZMmXJGtdeX293ckf2iYcXGtnS6hHrjezU46Kt99DQ4Qqmvjges%2B%2B%2B/X7/85S/Vr18/RUdHq7q6WmVlZerQoYNefPFFK/uorq7Wfffdp%2B3bt%2Bvll19Whw4d6vzc6OhoxcTE6Kuvvqrzc9LT0zVkyJCAMZerhYqLy%2Bq8DRuioiLldjdXSUm5fL7qBt03Gl5Df3/ZxPdqcNBX%2B%2BhpcASzr0798ul4wOrQoYPeeOMNvfvuu/riiy8UGRmpzp07a8CAAYqKirKyjwULFujTTz/Vyy%2B/fMp3JR49elTZ2dm64447/K/ROnLkiI4cOXJaoSw%2BPr7G5UCPp1RVVc78MPp81Y7tGw0nFL7GfK8GB321j54GRyj11fGAJUlNmjTx36LBtg8//FCrV6/WmjVrag1X27dv17333qvVq1crOjpan3zyiebPn6958%2BYpIiJCc%2BfOVUJCgi699NKg1AcAAEKP4wHrwIEDWrRokT799FNVVFTUmH/rrbd%2BcBtJSUmSvn2HoCRt3LhRkpSfn68//elPKi0t1eDBgwOek5ycrOeee07l5eXav3%2B/jDGSpKVLl2rBggUaPny4Tpw4oX79%2BmnZsmUBNx4FAAA4lQjzXbJwyM9//nMVFRVpwIABatGiRY35adOmOVCVfR5PaYPv0%2BWKVGxsSxUXl50Vp1wb2x9Pbmwa8x97Ptu%2BV0MFfbWPngZHMPt6/vmtrG6vrhw/g7Vjxw699dZbiouLc7oUAAAAKxy/7tW6detaz1wBAAA0Vo4HrNtuu005OTly%2BEolAACANY5fInz33Xf10UcfadWqVWrfvn2NF5O/8sorDlUGAABwZhwPWNHR0QF/KxAAAKCxczxgLVy40OkSAAAArHL8NViStG/fPi1ZskT33Xeff%2Bzjjz92sCIAAIAz53jAev/993Xttddq/fr1ysvLk/TtzUcnTZpUp5uMAgAAnG0cD1iLFy/Wr3/9a/3lL39RRESEpG//PmFWVpaWLl3qcHUAAACnz/GA9c9//lMTJkyQJH/AkqQRI0aooKDAqbIAAADOmOMBq1WrVrX%2BDcKioiI1adLEgYoAAADqx/GAddlll2nBggU6evSof2z//v2aMWOG%2BvXr52BlAAAAZ8bx2zTcd999uummm5SSkiKfz6fLLrtM5eXl6tKli7KyspwuDwAA4LQ5HrDatm2rvLw8vfPOO9q/f7%2BaNWumzp07q3///gGvyQIAAGgsHA9YknTOOefo6quvdroMAAAAKxwPWEOGDDnlmSruhQWEnpGPv%2Bd0Caflzcz%2BTpcAoJFxPGCNGjUqIGD5fD7t379f%2Bfn5uummmxysDAAA4Mw4HrCmT59e6/i6dev097//vYGrAQAAqD/Hb9NwMldffbXeeOMNp8sAAAA4bWdtwNq1a5eMMU6XAQAAcNocv0Q4fvz4GmPl5eUqKCjQsGHDHKgIAACgfhwPWJ06darxLsKmTZvqhhtu0Lhx4xyqCgAA4Mw5HrC4WzsAAAg1jges1157rc5rx4wZE8RKAAAA7HA8YM2aNUvV1dU1XtAeERERMBYREUHAAgAAjYLj7yJ89tlnNWDAAL300kvaunWrPvjgA61YsUJXXXWVnnnmGW3fvl3bt2/XJ5988oPb2rJli1JTUzV16tQac2vWrNE111yjSy%2B9VGlpafrrX/960u14vV5lZmYqNTVVAwYM0KxZs1RRUVGv4wQAAOHD8TNYWVlZWrZsmdq0aeMf69u3rzp06KDJkycrLy%2BvTtt55plntHLlSnXs2LHG3O7duzVjxgzl5OToiiuu0Lp163TnnXdq7dq1atu2bY31s2fP1okTJ5SXl6fKykrdfffdys7O1gMPPHDmBwoAAMKG42ewPv/8c8XExNQYd7vdOnjwYJ2307Rp05MGrD/%2B8Y8aOHCgBg4cqKZNm%2Braa69V165dtXr16hprv/76a23cuFFTp05VXFyc2rRpo1/96lf605/%2BpMrKytM7OAAAEJYcD1jt2rVTVlaWiouL/WMlJSVatGiRLrjggjpvZ9KkSWrVqlWtczt37lT37t0Dxrp37678/Pwaa3fv3q2oqCglJCT4x3r06KFjx45p3759da4HAACEL8cvEd5///2aNm2acnNz1bJlS0VGRuro0aNq1qyZli5damUfXq%2B3xlmymJgYffbZZ7WujY6ODrg313fP/X4IPJWioiJ5PJ6AMZerheLj40%2B39HqJiooM%2BIzQ5nLxdQ6Wxtpb/g2wj54GRyj21fGANWDAAL399tt65513dOjQIRlj1KZNG1155ZUnPSN1Jk7nz%2B7U90/05ObmKicnJ2AsIyNDU6ZMqdd2a9N31lrr20Tj9JPsLU6XELJiY1s6XcJpaUz/Lmx9eITTJZwRt7u50yWEpFDqq%2BMBS5KaN2%2BuoUOH6tChQ%2BrQoYP17cfGxsrr9QaMeb1excXF1VgbFxeno0ePyufzKSoqyr9Wklq3bl2n/aWnp2vIkCEBYy5XCxUXl51J%2BQAcxs9u8DS23kZFRcrtbq6SknL5fNVOlxMygtlXp35BcjxgVVRUaM6cOXrjjTckSTt27FBJSYnuuecePfbYY3K73fXeR2Jionbs2BEwlp%2Bfr9GjR9dY261bNxljtGfPHvXo0cO/1u12q3PnznXaX3x8fI3LgR5Pqaqq%2BGEEGiN%2BdoOnsfbW56tutLWfzUKpr45f7Hz00Ue1e/duZWdnKzLy/8rx%2BXzKzs62so%2Bf/exn%2Btvf/qa3335bx48f18qVK/X555/r2muvlSRt2LBBEydOlPTtGazhw4fr8ccf15EjR3To0CEtXbpUN9xwg1wux/MoAABoBBwPWOvWrdNvf/tbjRgxwv/CcrfbrYULF2r9%2BvV13k5SUpKSkpL0%2Buuva%2B3atf7HktS1a1dlZ2dr4cKF6tOnj1asWKGnn35a559/viSptLRU//rXv/zbeuihh9SqVSsNHTpU1157rXr27FnrzUsBAABq4/gpmbKyMnXq1KnGeFxcnI4dO1bn7dR2y4XvGzZsmIYNG1brXFpamtLS0vyPW7Vqpccee6zO%2BwYAAPg%2Bx89gXXDBBfr73/8uKfDde2vXrtWPf/xjp8oCAAA4Y46fwZo4caLuuusujR07VtXV1Xr%2B%2Bee1Y8cOrVu3TrNmzXK6PAAAgNPmeMBKT0%2BXy%2BXSihUrFBUVpaeeekqdO3dWdna2RoxonPdHAQAA4c3xgHXkyBGNHTtWY8eOdboUAAAAKxx/DdbQoUPrfed0AACAs4njASslJUVvvvmm02UAAABY4/glwh/96Ed6%2BOGHtWzZMl1wwQU655xzAuYXLVrkUGUAAABnxvGA9dlnn%2BnCCy%2BUJBUXFztcDQAAQP05FrCmTp2qxYsX68UXX/SPLV26VBkZGU6VBAC1Gvn4e06XAKCRcew1WJs2baoxtmzZMgcqAQAAsMuxgFXbOwd5NyEAAAgFjgWs7/6w8w%2BNAQAANDaO36YBAAAg1BCwAAAALHPsXYSVlZWaNm3aD45xHywAANDYOBaw%2BvTpo6Kioh8cAwAAaGwcC1jfv/8VAABAKOE1WAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWOXYn94b0wQcf6Je//GXAmDFGlZWV2rt3b8D4kiVL9Lvf/U4uV2BrNm/erPPOOy/otQIAgMYvLAJWcnKy8vPzA8aeeuop7dmzp9b11113nbKyshqiNAAAEILCImD9p3//%2B996/vnn9ec//9npUgAAQAgKy4D1xBNPaOzYsfrxj39c6/zevXs1fvx4/fOf/9SPfvQj3XfffRowYECdt19UVCSPxxMw5nK1UHx8fL3qBoBQ43I1rpcCR0VFBnyGHaHY17ALWF9%2B%2BaXWr1%2Bv9evX1zrftm1bdejQQdOmTVN8fLxyc3N1%2B%2B23a/Xq1brwwgvrtI/c3Fzl5OQEjGVkZGjKlCn1rh8AQklsbEunSzgjbndzp0sISaHU1whjjHG6iIb0yCOP6MiRI3rkkUfq/Jxx48apf//%2ByszMrNP6hjyD9ZPsLda3CQANZcP0K50u4bRERUXK7W6ukpJy%2BXzVTpcTMoLZV6dCfNidwVq3bp1mzJhxWs9p166dioqK6rw%2BPj6%2BRpjyeEpVVcUPIwB8X2P9d9Hnq260tZ/NQqmvoXOxsw52796tgwcPqn///idd87vf/U7vv/9%2BwFhBQYE6dOgQ7PIAAECICKuAtWvXLp177rmKjo4OGB8xYoS2bt0qSfJ6vZo7d6727dun48eP67nnntMXX3yh66%2B/3omSAQBAIxRWlwi//vprnX/%2B%2BTXG9%2B/fr2PHjkmSpk2bJkm6%2Beab5fV6dfHFF%2Bv3v/%2B92rZt26C1AgCAxivsXuTuFI%2BnNCjbHfn4e0HZLgA0hDczT/6SjbORyxWp2NiWKi4uC5nXCp0NgtnX889vZXV7dRVWZ7AAAGeXxvZLYmN71yOcE1avwQIAAGgIBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsMzldAEAACA4Rj7%2BntMl1NnWh0c4XYJVnMECAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsCxs7uSekJCgc845RxEREf6xn/3sZ5o9e3aNtcuXL9dLL70kj8ejhIQEzZo1S4mJiQ1ZLgAAaMTCJmBJ0tq1a9W%2BfftTrtm0aZOWLFmiZ599VgkJCVq%2BfLluv/12rV%2B/Xi1atGigSgEAQGPGJcL/kJubq7S0NPXq1UvNmjXTLbfcIknavHmzw5UBAIDGIqzOYC1atEgff/yxjh49qpEjR2rmzJlq2bJlwJqdO3dq1KhR/seRkZHq1q2b8vPzNXr06Drtp6ioSB6PJ2DM5Wqh%2BPj4%2Bh8EAMAxUVGRAZ9hVyj1NWwCVu/evZWamqpHHnlEBw4cUGZmpubOnavf/OY3Aeu8Xq9iYmICxmJiYlRcXFznfeXm5ionJydgLCMjQ1OmTDnzAwAAOM7tbh7EmKEEAAASUElEQVTwGXaFUl/DJmDl5ub6//uiiy7S9OnTdccdd2j%2B/Plq0qRJwFpjTL32lZ6eriFDhgSMuVwtVFxcVq/tAgCcVVJSLre7uUpKyuXzVTtdTsgJRl9jY1v%2B8KIgCJuA9Z/at28vn8%2Bnw4cP60c/%2BpF/PDY2Vl6vN2Ct1%2BtVly5d6rzt%2BPj4GpcDPZ5SVVXxwwgAjdl3//P3%2Bar5Nz0IQqmvoXOx8xR27dqlrKysgLGCggI1adKkRhBKTEzUzp07/Y99Pp927dqlXr16NUitAACg8QuLgNW6dWvl5uZq2bJlOnHihPbv368nnnhC6enpioqK0ogRI7R161ZJ0oQJE/Taa69p27ZtKi8v15NPPqkmTZpo0KBBzh4EAABoNMLiEmGbNm20bNkyLVq0yB%2BYrr/%2Bek2dOlWStH//fh07dkySdNVVV%2Bmee%2B5RZmamDh8%2BrKSkJC1btkzNmjVz8hAAAEAjEhYBS5KSk5P1yiuv1Dq3d%2B/egMcTJ07UxIkTG6IsAAAQgsLiEiEAAEBDImABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAloXNjUYBAKivn2RvcboENBKcwQIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWBY2AevgwYPKyMhQSkqKUlNTNXPmTJWUlNRYt2rVKl1yySVKSkoK%2BNi%2BfbsDVQMAgMYobALW7bffLrfbrU2bNmnVqlX69NNP9cgjj9S6Njk5Wfn5%2BQEfPXv2bOCKAQBAYxUWAaukpESJiYmaNm2aWrZsqbZt2%2Br666/X1q1bnS4NAACEoLAIWG63WwsXLtR5553nHyssLFR8fHyt6wsLC/WLX/xCycnJGjp0qF5//fWGKhUAAIQAl9MFOCE/P18rVqzQk08%2BWWMuLi5OnTp10j333KOLL75YGzZs0L333qv4%2BHj169evTtsvKiqSx%2BMJGHO5Wpw00AEAACkqKnTO%2B4RdwPrwww91xx13aNq0aUpNTa0xP2jQIA0aNMj/ePTo0dqwYYNWrVpV54CVm5urnJycgLGMjAxNmTKlXrUDABDK3O7mTpdgTVgFrE2bNunXv/61Zs%2BerTFjxtT5ee3atdOOHTvqvD49PV1DhgwJGHO5Wqi4uKzO2wAAINyUlJTL56u2us3Y2JZWt1dXYROwPvroI82YMUNPPPGEBgwYcNJ1L7/8smJiYjRq1Cj/WEFBgTp06FDnfcXHx9e4HOjxlKqqyu43DQAAocTnqw6Z/1eGzsXOU6iqqtIDDzyg6dOn1xqubrrpJq1Zs0aSdOLECc2bN0/5%2BfmqrKxUXl6e3n33XY0fP76hywYAAI1UWJzB2rZtmwoKCjR//nzNnz8/YG7t2rU6cOCAvvnmG0nSpEmTVFZWprvvvlsej0ft27fX0qVLlZiY6ETpAACgEYowxhiniwgHHk9pULY78vH3grJdAAAa0taHR6i4uMz6JcLzz29ldXt1FRaXCAEAABoSAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMCysAlYBw8e1K233qqUlBQNHjxYjz76qKqrq2tdu3z5cg0fPlyXXXaZJkyYoB07djRwtQAAoDELm4B11113qU2bNtq4caOef/55bdy4US%2B88EKNdZs2bdKSJUv0m9/8Rn/72980ePBg3X777Tp27JgDVQMAgMYoLAJWfn6%2B9uzZo%2BnTp6tVq1bq1KmTbr75ZuXm5tZYm5ubq7S0NPXq1UvNmjXTLbfcIknavHlzQ5cNAAAaKZfTBTSEnTt3ql27doqJifGP9ejRQ/v379fRo0cVHR0dsHbUqFH%2Bx5GRkerWrZvy8/M1evToOu2vqKhIHo8nYMzlaqH4%2BPh6HgkAAKErKip0zvuERcDyer1yu90BY9%2BFreLi4oCA5fV6A4LYd2uLi4vrvL/c3Fzl5OQEjN1555266667Trf0H7T14REnnSsqKlJubq7S09MJdxbRV/voaXDQV/voaXAUFRVpyZIlIdXX0ImKP8AYE5S1tUlPT9eqVasCPtLT0%2Bu1zTPh8XiUk5NT42wa6oe%2B2kdPg4O%2B2kdPgyMU%2BxoWZ7Di4uLk9XoDxrxeryIiIhQXFxcwHhsbW%2BvaLl261Hl/8fHxIZPAAQDA6QuLM1iJiYkqLCzUkSNH/GP5%2Bfm6%2BOKL1bJlyxprd%2B7c6X/s8/m0a9cu9erVq8HqBQAAjVtYBKzu3bsrKSlJixYt0tGjR1VQUKDnn39eEyZMkCSNGDFCW7dulSRNmDBBr732mrZt26by8nI9%2BeSTatKkiQYNGuTgEQAAgMYk6sEHH3zQ6SIawpVXXqm8vDzNmzdPb7zxhm644QZNnjxZERERmjdvnkaOHKmOHTuqY8eOio6O1sMPP6zf/va3OnHihBYtWqQ2bdo4fQhnpGXLlrr88strnKlD/dBX%2B%2BhpcNBX%2B%2BhpcIRaXyNMfV/RDQAAgABhcYkQAACgIRGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsBqRLVu2KDU1VVOnTq0xt2bNGl1zzTW69NJLlZaWpr/%2B9a/%2Buerqai1evFhDhw5VcnKyJk%2BerAMHDvjnvV6vMjMzlZqaqgEDBmjWrFmqqKhokGNy2sGDB5WRkaGUlBSlpqZq5syZKikpkSTt3r1bN954o/r06aNhw4bpueeeC3hufXoeyvbs2aObbrpJffr0UWpqqjIzM%2BXxeCRJ77//vm644QZddtllGj16tFavXh3w3OXLl2v48OG67LLLNGHCBO3YscM/d/z4cf33f/%2B3rrrqKqWkpGjKlCkqLi5u0GM7WyxYsEAJCQn%2Bx/T1zCQkJCgxMVFJSUn%2Bj3nz5kmip/X15JNPasCAAerdu7duvvlmffnll5LCrK8GjcKyZcvMsGHDzPjx401mZmbA3K5du0xiYqJ5%2B%2B23TUVFhXn99ddNr169TGFhoTHGmOXLl5vBgwebzz77zJSWlpqHHnrIXHPNNaa6utoYY8ydd95pbr31VnP48GFz6NAhk56ebubNm9fgx%2BiEn/70p2bmzJnm6NGjprCw0KSlpZn777/flJeXmyuvvNIsWbLElJWVmR07dpjLL7/crFu3zhhT/56HquPHj5t%2B/fqZnJwcc/z4cXP48GFz4403ml/96lfmq6%2B%2BMr179zZ//OMfTUVFhXnvvfdMz549zfbt240xxrz11lumb9%2B%2BZtu2baa8vNw8/fTTpn///qasrMwYY8zChQtNWlqa%2Bfe//22Ki4vNnXfeaW677TYnD9cRu3btMpdffrnp2rWrMcbQ13ro2rWrOXDgQI1xelo/K1asMCNGjDAFBQWmtLTUzJs3z8ybNy/s%2BkrAaiReeOEFU1JSYmbMmFEjYM2dO9dkZGQEjI0bN848/fTTxhhjRo8ebV544QX/XGlpqenevbv5%2BOOPjcfjMZdcconZvXu3f/6dd94xvXv3NidOnAjiETnvm2%2B%2BMTNnzjQej8c/9uKLL5phw4aZN99801xxxRWmqqrKP/foo4%2BaX/7yl8aY%2BvU8lHm9XvPqq6%2BayspK/9gLL7xgfvKTn5hnn33WjBkzJmB9ZmammT17tjHGmFtvvdUsWLDAP%2Bfz%2BUz//v1NXl6eqaysNH369DEbN270z3/22WcmISHBHDp0KMhHdfbw%2BXxm3Lhx5ne/%2B50/YNHXM3eygEVP62fIkCH%2BX0a/L9z6yiXCRmLSpElq1apVrXM7d%2B5U9%2B7dA8a6d%2B%2Bu/Px8VVRU6LPPPguYj46OVseOHZWfn6/du3crKioq4HJDjx49dOzYMe3bty84B3OWcLvdWrhwoc477zz/WGFhoeLj47Vz504lJCQoKirKP9e9e3f/6er69DyUxcTEaNy4cXK5XJKkffv26c9//rNGjhx50p6drKeRkZHq1q2b8vPz9cUXX6i0tFQ9evTwz1900UVq1qyZdu7c2QBHdnZ45ZVX1LRpU11zzTX%2BMfpaP4sWLdKgQYPUt29fzZ49W2VlZfS0Hr766it9%2BeWX%2BuabbzRq1Cj/pbwjR46EXV8JWCHA6/UqJiYmYCwmJkbFxcX65ptvZIw56bzX61V0dLQiIiIC5iSd3de2gyA/P18rVqzQHXfcIa/XK7fbHTB/7rnnyuv1qrq6ul49DwcHDx5UYmKiRo0apaSkJE2ZMuWkPf2uJ6fqqdfrlaQaz3e73WHT06%2B//lpLlizRnDlzAsbp65nr3bu3UlNTtX79euXm5mrbtm2aO3cuPa2HQ4cOSZLWrl2r559/Xq%2B//roOHTqkBx54IOz6SsAKEcaYM57/oeeGgw8//FCTJ0/WtGnTlJqaetJ13w%2Bi9el5qGvXrp3y8/O1du1aff7557r33nvr9Dx6enILFy5UWlqaLr744tN%2BLn2tXW5ursaNG6cmTZrooosu0vTp05WXl6fKysoffC49rd13x33LLbeoTZs2atu2re666y5t2rTptJ5/pvNnEwJWCIiNjfWn%2B%2B94vV7FxcXp3HPPVWRkZK3zrVu3VlxcnI4ePSqfzxcwJ0mtW7cOfvFngU2bNunWW2/V/fffr0mTJkmS4uLiavxW5PV6/f2sT8/DRUREhDp16qSpU6cqLy9PLperRk%2BKi4sVFxcn6dTfx9%2Bt%2Bc/5b775Jix6%2Bv777%2Bvjjz9WRkZGjbna%2BkZfz0z79u3l8/lq/fmlp3Xz3Usuvn%2BmqV27djLGqLKyMqz6SsAKAYmJiQFvZZW%2BvdzVq1cvNW3aVF26dAm4Rl1SUqIvvvhCPXv2VLdu3WSM0Z49ewKe63a71blz5wY7Bqd89NFHmjFjhp544gmNGTPGP56YmKi9e/eqqqrKP/ZdT7%2BbP9Oeh7L3339fw4cPV3V1tX8sMvLbf2Z69uxZo2c7duwI6On3e%2Bbz%2BbRr1y716tVLHTp0UExMTMD8P//5T504cUKJiYnBPKSzwurVq3X48GENHjxYKSkpSktLkySlpKSoa9eu9PUM7Nq1S1lZWQFjBQUFatKkiQYOHEhPz1Dbtm0VHR2t3bt3%2B8cOHjyoc845J/z62tCvqkf91PYuwr1795qkpCSzefNmU1FRYf74xz%2BaSy%2B91BQVFRljjPnDH/5gBg0a5L9lwOzZs83YsWP9z8/MzDS33HKLOXz4sCksLDRjx441WVlZDXpcTqisrDQjR440r7zySo2548ePm8GDB5vf/va35tixY2bbtm2mb9%2B%2BZvPmzcaY%2Bvc8VJWUlJjU1FSTlZVljh07Zg4fPmwmT55sJk6caL7%2B%2Bmtz6aWXmldffdVUVFSYt99%2B2/Ts2dP/DtZ33nnH9OnTx3z88cfm2LFjZsmSJWbgwIGmvLzcGPPtuzivv/568%2B9//9scOXLE3Hbbbeauu%2B5y8nAbjNfrNYWFhf6Pjz/%2B2HTt2tUUFhaagwcP0tczcOjQIdO7d2/z9NNPm%2BPHj5t9%2B/aZUaNGmXnz5vG9Wk8LFiwwQ4cONZ9//rn5%2BuuvTXp6upk5c2bY9ZWA1UgkJiaaxMREc8kll5hLLrnE//g769atM8OGDTM9evQw1113nfnHP/7hn6uurjZPPPGE6devn%2BnZs6f5r//6L//9moz59n%2BKU6dONb179zbJyclm7ty55vjx4w16fE744IMPTNeuXf29/P7Hl19%2Bafbu3WvGjx9vEhMTzaBBg8xLL70U8Pz69DyU7dmzx9x4442mZ8%2Be5oorrjCZmZn%2Bt1H/4x//MNdee63p0aOHGTZsWI23cr/00ktm4MCBJjEx0UyYMMHs3bvXP3f8%2BHHz4IMPmuTkZHPppZeae%2B65x5SUlDTosZ0tDhw44L9NgzH09Uz94x//MOnp6aZ3797m8ssvNwsXLjQVFRX%2BOXp6Zr5//L179zYzZswwR48eNcaEV18jjGlErxgDAABoBHgNFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABY9v8Ae/MopaqXYTwAAAAASUVORK5CYII%3D\"/>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-5492296450889564601\">\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">1786.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">1657.6</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">4000.2</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">2519.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">3308.6</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">2227.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">3233.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">3866.2</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">1684.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">4229.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"other\">\n", | |
| " <td class=\"fillremaining\">Other values (91)</td>\n", | |
| " <td class=\"number\">91</td>\n", | |
| " <td class=\"number\">90.1%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"extreme-5492296450889564601\">\n", | |
| " <p class=\"h4\">Minimum 5 values</p>\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">900.6</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">921.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">1034.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">1108.3</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">1120.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " <p class=\"h4\">Maximum 5 values</p>\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">5604.9</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">5646.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">5979.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">5990.0</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">6007.0</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| "</div><div class=\"row variablerow\">\n", | |
| " <div class=\"col-md-3 namecol\">\n", | |
| " <p class=\"h4 pp-anchor\" id=\"pp_var_Income from /to the Rest of the World (Payment)\">Income from /to the Rest of the World (Payment)<br/>\n", | |
| " <small>Numeric</small>\n", | |
| " </p>\n", | |
| " </div><div class=\"col-md-6\">\n", | |
| " <div class=\"row\">\n", | |
| " <div class=\"col-sm-6\">\n", | |
| " <table class=\"stats \">\n", | |
| " <tr>\n", | |
| " <th>Distinct count</th>\n", | |
| " <td>101</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Unique (%)</th>\n", | |
| " <td>100.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Infinite (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Infinite (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| "\n", | |
| " </div>\n", | |
| " <div class=\"col-sm-6\">\n", | |
| " <table class=\"stats \">\n", | |
| "\n", | |
| " <tr>\n", | |
| " <th>Mean</th>\n", | |
| " <td>1767.5</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Minimum</th>\n", | |
| " <td>714.7</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Maximum</th>\n", | |
| " <td>4146.3</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Zeros (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| "<div class=\"col-md-3 collapse in\" id=\"minihistogram5831162764915548443\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAATVJREFUeJzt3MFtg0AUQME4ckkuIj3l7J5chHta36PoCVsC1njmjrSXpw%2B7wGmMMb6Af33vvQCY2XnvBfx1%2Bb09fc39%2BrPCSsAEgSQQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEw3btYW/HOF0uYIBAEAkEgEAQCQSAQBAJBIBAEAuEQB4WvHPrBEiYIBIFAEAgEgUAQCASBQDjENu9Wnt1O9v3I%2BzNBIAgEgkAgCASCQCAIBIJt3hX5tdD7E8gBbHE%2B86mxu8WCYIJMxsdfczFBIAgEgkAgeAZhNUfY%2BTJBIAgEglusD2QreTkTBMJpjDH2XgTMygSBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKB8AD0gyHURqmY8gAAAABJRU5ErkJggg%3D%3D\">\n", | |
| "\n", | |
| "</div>\n", | |
| "<div class=\"col-md-12 text-right\">\n", | |
| " <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives5831162764915548443,#minihistogram5831162764915548443\"\n", | |
| " aria-expanded=\"false\" aria-controls=\"collapseExample\">\n", | |
| " Toggle details\n", | |
| " </a>\n", | |
| "</div>\n", | |
| "<div class=\"row collapse col-md-12\" id=\"descriptives5831162764915548443\">\n", | |
| " <ul class=\"nav nav-tabs\" role=\"tablist\">\n", | |
| " <li role=\"presentation\" class=\"active\"><a href=\"#quantiles5831162764915548443\"\n", | |
| " aria-controls=\"quantiles5831162764915548443\" role=\"tab\"\n", | |
| " data-toggle=\"tab\">Statistics</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#histogram5831162764915548443\" aria-controls=\"histogram5831162764915548443\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#common5831162764915548443\" aria-controls=\"common5831162764915548443\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#extreme5831162764915548443\" aria-controls=\"extreme5831162764915548443\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n", | |
| "\n", | |
| " </ul>\n", | |
| "\n", | |
| " <div class=\"tab-content\">\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles5831162764915548443\">\n", | |
| " <div class=\"col-md-4 col-md-offset-1\">\n", | |
| " <p class=\"h4\">Quantile statistics</p>\n", | |
| " <table class=\"stats indent\">\n", | |
| " <tr>\n", | |
| " <th>Minimum</th>\n", | |
| " <td>714.7</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>5-th percentile</th>\n", | |
| " <td>838.7</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Q1</th>\n", | |
| " <td>1038.9</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Median</th>\n", | |
| " <td>1531.3</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Q3</th>\n", | |
| " <td>2206.8</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>95-th percentile</th>\n", | |
| " <td>3628.5</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Maximum</th>\n", | |
| " <td>4146.3</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Range</th>\n", | |
| " <td>3431.6</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Interquartile range</th>\n", | |
| " <td>1167.9</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " <div class=\"col-md-4 col-md-offset-2\">\n", | |
| " <p class=\"h4\">Descriptive statistics</p>\n", | |
| " <table class=\"stats indent\">\n", | |
| " <tr>\n", | |
| " <th>Standard deviation</th>\n", | |
| " <td>872.28</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Coef of variation</th>\n", | |
| " <td>0.4935</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Kurtosis</th>\n", | |
| " <td>0.25706</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Mean</th>\n", | |
| " <td>1767.5</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>MAD</th>\n", | |
| " <td>691.07</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"\">\n", | |
| " <th>Skewness</th>\n", | |
| " <td>1.0665</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Sum</th>\n", | |
| " <td>178520</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Variance</th>\n", | |
| " <td>760880</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Memory size</th>\n", | |
| " <td>888.0 B</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram5831162764915548443\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzt3Xt0VPW9/vEnyQjKJYFooz0RhXMQkFwgcgmGIDeJIMUiSANdHKhFRQzQICIUpdWjEDzCQkqoglbrpUqQchSRiyKCaDn2qFCGi7QEWFKMTYSMgUAgl%2B/vD36MDrkQ5Rt2dvb7tVYWi%2B/es/N5MkN4svfMJMwYYwQAAABrwp0eAAAAoKGhYAEAAFhGwQIAALCMggUAAGAZBQsAAMAyChYAAIBlFCwAAADLKFgAAACWUbAAAAAso2ABAABYRsECAACwjIIFAABgGQULAADAMgoWAACAZRQsAAAAyyhYAAAAllGwAAAALKNgAQAAWEbBAgAAsIyCBQAAYBkFCwAAwDIKFgAAgGUULAAAAMsoWAAAAJZRsAAAACyjYAEAAFhGwQIAALCMggUAAGAZBQsAAMAyChYAAIBlFCwAAADLKFgAAACWUbAAAAAso2ABAABYRsECAACwjIIFAABgGQULAADAMgoWAACAZRQsAAAAy3xOD%2BAVBQXHnB6hzoWHhyk6uqmOHi1WRYVxepyLzsv5vZxd8nZ%2BL2eXyO%2BG/D/6UXNHPi9nsGBNeHiYwsLCFB4e5vQojvByfi9nl7yd38vZJfJ7PX9NKFgAAACWUbAAAAAso2ABAABYRsECAACwjIIFAABgGQULAADAMgoWAACAZRQsAAAAyyhYAAAAllGwAAAALKNgAQAAWEbBAgAAsIyCBQAAYJnP6QFwYQY99ZHTI9Ta2syeTo8AAMBFwRksAAAAyyhYAAAAllGwAAAALKNgAQAAWEbBAgAAsIyCBQAAYBkFCwAAwDIKFgAAgGUULAAAAMsoWAAAAJZRsAAAACyjYAEAAFhGwQIAALCMggUAAGAZBQsAAMAyChYAAIBlFCwAAADLfE4P4JTDhw9rzpw5%2BuSTTxQREaGbbrpJM2fOVFFRkfr3769GjRqF7J%2BZmalx48Y5NC0AAHATzxase%2B%2B9V/Hx8dq4caOOHTumjIwMPfHEE5owYYIkye/3OzwhAABwK09eIiwqKlJ8fLymTp2qpk2b6qqrrtLtt9%2BuTz75xOnRAABAA%2BDJghUZGamsrCxdccUVwbW8vDzFxMQE//7ggw8qNTVVPXr00Pz581VaWurEqAAAwIU8e4nwu/x%2Bv1555RU9/fTTatSokZKSkjRgwADNnj1be/bs0aRJk%2BTz%2BfSrX/2qVsfLz89XQUFByJrP1ySkwHmRz9ew%2B3xERHjIn17i5eySt/N7ObtEfq/nr0mYMcY4PYSTPv30U02YMEETJ07UmDFjqtzn1Vdf1ZIlS7R58%2BZaHXPRokXKzs4OWcvIyNDkyZMveN5zdX1onfVj1pVPZg90egQAAC4KT5/B2rhxo6ZNm6ZZs2Zp6NCh1e4XGxurr7/%2BWsYYhYWFnfe46enp6tevX8iaz9dEhYXFFzyzmzX0/BER4YqMvExFRSdVXl7h9DgXlZezS97O7%2BXsEvndkL9ly6aOfF7PFqzPPvtM06dP18KFC5Wamhpc37p1q7Zv3x58NaEk7d%2B/X7GxsbUqV5IUExNT6XJgQcExlZXVzwffxeKV/OXlFZ7Jei4vZ5e8nd/L2SXyez1/VTx50bSsrEwPP/ywHnjggZByJUnNmzfX4sWL9eabb6q0tFR%2Bv19/%2BMMfNGrUKIemBQAAbuPJM1jbt29Xbm6uHn/8cT3%2B%2BOMh29atW6cFCxYoOztbv/nNb9S8eXP953/%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%2B%2B9V5GRkdq4caNWrlypf/zjH3riiSdUUlKi8ePHq0ePHtqyZYsWLFigJUuW6J133nF6ZAAA4BKeLFhFRUWKj4/X1KlT1bRpU1111VW6/fbb9cknn2jTpk0qLS3VhAkT1KRJE8XFxWnEiBHKyclxemwAAOASPqcHcEJkZKSysrJC1vLy8hQTE6Ndu3apffv2ioiICG7r2LGjXn/99VofPz8/XwUFBSFrPl8TxcTEXNjgLufzNew%2BHxERHvKnl3g5u%2BTt/F7OLpHf6/lr4smCdS6/369XXnlFTz/9tNauXavIyMiQ7S1atFAgEFBFRYXCw8//IMrJyVF2dnbIWkZGhiZPnmx1brdp2bKp0yN8L10fWuf0CN/LJ7MHOj2CIiMvc3oER3k5v5ezS%2BT3ev6qeL5gffrpp5owYYKmTp2qlJQUrV27tsr9wsLCan3M9PR09evXL2TN52uiwsLiC5rV7byev645%2BfWNiAhXZORlKio6qfLyCsfmcIqX83s5u0R%2BN%2BR36od7TxesjRs3atq0aZo1a5aGDh0qSYqOjtbBgwdD9gsEAmrRokWtzl5JUkxMTKXLgQUFx1RWVj8ffBeL1/PXtfrw9S0vr6gXczjFy/m9nF0iv9fzV8WzF00/%2B%2BwzTZ8%2BXQsXLgyWK0mKj4/X3r17VVZWFlzz%2B/3q1KmTE2MCAAAX8mTBKisr08MPP6wHHnhAqampIdt69%2B6tZs2a6emnn9bJkyf1t7/9TStWrNCoUaMcmhYAALiNJwvW9u3blZubq8cff1wJCQkhHwUFBXrmmWf0l7/8Rd27d1dmZqamTJmiPn36OD02AABwCU8%2BB6tr167au3dvjfu89tprF2kaAADQ0HjyDBYAAEBdomABAABYRsECAACwjIIFAABgGQULAADAMgoWAACAZRQsAAAAyyhYAAAAllGwAAAALKNgAQAAWEbBAgAAsIyCBQAAYBkFCwAAwDIKFgAAgGUULAAAAMsoWAAAAJZRsAAAACyjYAEAAFhGwQIAALCMggUAAGAZBQsAAMAyChYAAIBlFCwAAADLKFgAAACWUbAAAAAso2ABAABY5qqC1a9fP2VnZysvL8/pUQAAAKrlqoI1fPhwrVmzRjfffLPuuusuvfPOOyorK3N6LAAAgBCuKlgZGRlas2aNli9fruuuu05z5sxR79699eSTT%2BrAgQNOjwcAACDJZQXrrLi4OE2fPl3vv/%2B%2BZs6cqeXLl%2BvWW2/VuHHjtGPHDqfHAwAAHufKglVaWqo1a9bo7rvv1vTp03XllVfq17/%2Bta6//nr94he/0FtvveX0iAAAwMN8Tg/wfeTm5mrFihV64403VFxcrFtuuUUvvviiunTpEtynW7dueuSRRzRkyBAHJwUAAF7mqoI1ePBgtWnTRuPHj9fQoUPVokWLSvv07t1bR48edWA6AACAM1xVsF566SV17979vPv97W9/uwjTAAAAVM1Vz8Fq37697r33Xm3YsCG49sc//lF33323AoGAg5MBAAB8y1UFKysrS8eOHVPbtm2Da3369FFFRYXmzp3r4GQAAADfctUlwg8//FBvvfWWWrZsGVxr3bq15s2bp5/85CcOTgYAAPAtV53BKikpUePGjSuth4eH6%2BTJkw5MBAAAUJmrCla3bt00d%2B5cffPNN8G1f/3rX3r00UdD3qoBAADASa66RDhz5kz98pe/1I033qhmzZqpoqJCxcXFatWqlV5%2B%2BWWnxwMAAJDksoLVqlUrvf322/rggw/0xRdfKDw8XG3atFFqaqoiIiKcHg8AAECSywqWJDVq1Eg333yz02MAAABUy1UF69ChQ5o/f77%2B8Y9/qKSkpNL29957z4GpAAAAQrmqYM2cOVP5%2BflKTU1VkyZNnB4HAACgSq4qWDt37tR7772n6Ohop0cBAAColqvepuHyyy%2B3duZqy5YtSklJ0ZQpU0LWV65cqQ4dOighISHkY8eOHVY%2BLwAAaPhcdQZr/Pjxys7O1tSpUxUWFvaDj/Pss89qxYoVuvbaa6vc3q1bN972AQAA/GCuKlgffPCBPvvsM61cuVJXX321wsNDT8AtW7asVsdp3LixVqxYodmzZ%2BvUqVN1MSoAAPAwVxWsZs2a6aabbrrg44wZM6bG7Xl5ebrzzju1c%2BdORUZGavLkyfrpT396wZ8XAAB4g6sKVlZWVp1/jujoaLVu3Vr333%2B/2rZtq3fffVcPPvigYmJidOONN9bqGPn5%2BSooKAhZ8/maKCYmpi5Gdg2fz1VP%2BXMdJ7%2B%2BERHhIX96jZfzezm7RH6v56%2BJqwqWJO3fv19vv/22vvzyy2Dh2rZtm5KSkqwcv0%2BfPurTp0/w74MHD9a7776rlStX1rpg5eTkKDs7O2QtIyNDkydPtjKjWw2Yt8XpERq0li2bOj2CIiMvc3oER3k5v5ezS%2BT3ev6quKpgbd26VXfffbfatGmjgwcPKisrS4cOHdKYMWP01FNPqX///nXyeWNjY7Vz585a75%2Benq5%2B/fqFrPl8TVRYWGx7NCDIycdXRES4IiMvU1HRSZWXVzg2h1O8nN/L2SXyuyG/Uz98uqpgLViwQNOmTdPYsWOVmJgo6czvJ5w7d64WL15spWC99tprioqK0q233hpcy83NVatWrWp9jJiYmEqXAwsKjqmsrH4%2B%2BNAw1IfHV3l5Rb2Ywylezu/l7BL5vZ6/Kq66aPr3v/9do0aNkqSQt2kYOHCgcnNzrXyO06dP67HHHpPf71dpaalWr16tDz74QCNHjrRyfAAA0PC56gxW8%2BbNVVJSokaNGoWs5%2BfnV1qrSUJCgiSprKxMkrRhwwZJkt/v15gxY1RcXKxf/epXKigo0NVXX63FixcrPj7eUgoAANDQuapg3XDDDZozZ44efvjh4NqBAwf029/%2BttZPQJfOFKnqhIWF6b777tN99913QbMCAADvclXB%2BvWvf62xY8cqOTlZ5eXluuGGG3Ty5Eldd911mjt3rtPjAQAASHJZwbrqqqu0evVqbd68WQcOHNCll16qNm3aqGfPnhf0q3MAAABsclXBkqRLLrlEN998s9NjAAAAVMtVBatfv341nql67733LuI0AAAAVXNVwbr11ltDClZ5ebkOHDggv9%2BvsWPHOjgZAADAt1xVsB544IEq19evX6%2BPP/74Ik8DAABQNVe90Wh1br75Zr399ttOjwEAACCpgRSs3bt3yxjj9BgAAACSXHaJsKpfV3Py5Enl5uYqLS3NgYkAAAAqc1XBat26daVXETZu3Fh33HGHRowY4dBUAAAAoVxVsHi3dgAA4AauKlhvvPFGrfcdOnRoHU4CAABQPVcVrIceekgVFRWVntAeFhYWshYWFkbBAgAAjnFVwXruuef0/PPP695771X79u1ljNHevXv17LPPavTo0UpOTnZ6RAAAAHcVrLlz52rp0qW68sorg2tdu3ZVq1atNG7cOK1evdrB6QAAAM5w1ftgHTx4UFFRUZXWIyMjdfjwYQcmAgAAqMxVBSs2NlZz585VYWFhcK2oqEjz58/XNddc4%2BBkAAAA33LVJcKZM2dq6tSpysnJUdOmTRUeHq7jx4/r0ksv1eLFi50eDwAAQJLLClZqaqo2bdqkzZs366uvvpIxRldeeaV69eql5s2bOz0eAACAJJcVLEm67LLL1L9/f3311Vdq1aqV0%2BMAAABU4qrnYJWUlGj69OlKSkrSoEGDJJ15DtZdd92loqIih6cDAAA4w1UF68knn9SePXs0b948hYd/O3p5ebnmzZvn4GQAAADfclXBWr9%2BvX73u99p4MCBwV/6HBkZqaysLL3zzjsOTwcAAHCGqwpWcXGxWrduXWk9OjpaJ06cuPgDAQAAVMFVBeuaa67Rxx9/LEkhv3tw3bp1%2Brd/%2BzenxgIAAAjhqlcR/vznP9ekSZM0fPhwVVRU6IUXXtDOnTu1fv16PfTQQ06PBwAAIMllBSs9PV0%2Bn0%2BvvPKKIiIi9Mwzz6hNmzaaN2%2BeBg4c6PR4AAAAklxWsI4eParhw4dr%2BPDhTo8CAABQLVc9B6t///4hz70CAACoj1xVsJKTk7V27VqnxwAAAKiRqy4R/vjHP9bs2bO1dOlSXXPNNbrkkktCts%2BfP9%2BhyQAAAL7lqoK1b98%2B/fu//7skqbCw0OFpAAAAquaKgjVlyhQtWLBAL7/8cnBt8eLFysjIcHAqAACAqrniOVgbN26stLZ06VIHJgEAADg/VxSsql45yKsJAQBAfeWKgnX2Fzufbw0AAKA%2BcEXBAgAAcBMKFgAAgGWueBVhaWmppk6det413gcLAADUB64oWF26dFF%2Bfv551wAvG/TUR06PUGtrM3s6PQIA1ClXFKzvvv8VAABAfcdzsAAAACyjYAEAAFhGwQIAALCMggUAAGAZBQsAAMAyzxasLVu2KCUlRVOmTKm0bc2aNRoyZIiSkpI0bNgwffjhhw5MCAAA3MoVb9Ng27PPPqsVK1bo2muvrbRtz549mj59urKzs9WjRw%2BtX79eEydO1Lp163TVVVc5MC0AAHAbT57Baty4cbUF6/XXX1fv3r3Vu3dvNW7cWLfddpvatWunVatWOTApAABwI0%2BewRozZky123bt2qXevXuHrHXs2FF%2Bv7/Wx8/Pz1dBQUHIms/XRDExMd9vUKCB8vka1s92ERHhIX96iZezS%2BT3ev6aeLJg1SQQCCgqKipkLSoqSvv27av1MXJycpSdnR2ylpGRocmTJ1uZEXC7li2bOj1CnYiMvMzpERzj5ewS%2Bb2evyoUrCoYYy7o9unp6erXr1/Ims/XRIWFxRd0XKChaGj/FiIiwhUZeZmKik6qvLzC6XEuKi9nl8jvhvxO/UBHwTpHy5YtFQgEQtYCgYCio6NrfYyYmJhKlwMLCo6prKx%2BPviAi62h/lsoL69osNnOx8vZJfJ7PX9VuGh6jvj4eO3cuTNkze/3q1OnTg5NBAAA3IaCdY6f/exn%2Bstf/qJNmzbp1KlTWrFihQ4ePKjbbrvN6dEAAIBLePISYUJCgiSprKxMkrRhwwZJZ85UtWvXTvPmzVNWVpYOHz6stm3basmSJfrRj37k2LwAAMBdPFmwzveWC2lpaUpLS7tI0wAAgIaGS4QAAACWUbAAAAAso2ABAABYRsECAACwjIIFAABgGQULAADAMgoWAACAZRQsAAAAyyhYAAAAllGwAAAALKNgAQAAWEbBAgAAsIyCBQAAYBkFCwAAwDIKFgAAgGUULAAAAMsoWAAAAJZRsAAAACyjYAEAAFhGwQIAALCMggUAAGAZBQsAAMAyChYAAIBlFCwAAADLKFgAAACWUbAAAAAso2ABAABY5nN6AADeM%2Bipj5we4XtZm9nT6REAuAxnsAAAACyjYAEAAFhGwQIAALCMggUAAGAZBQsAAMAyChYAAIBlFCwAAADLKFgAAACWUbAAAAAso2ABAABYxq/KAYAGxk2/ishtv4bITV9byX1f34aEM1gAAACWUbAAAAAso2ABAABYRsECAACwjIIFAABgGQULAADAMt6moQrt27fXJZdcorCwsODaz372M82aNcvBqQAAgFtQsKqxbt06XX311U6PAQAAXIhLhAAAAJZRsKoxf/589enTR127dtWsWbNUXFzs9EgAAMAluERYhc6dOyslJUVPPPGEDh06pMzMTD366KP67//%2B71rdPj8/XwUFBSFrPl8TxcTE1MW4AOqYz1fzz6IREeEhf6L2zve1xYWp668vj/3qhRljjNND1HebN2/WhAkTtH37djVq1Oi8%2By9atEjZ2dkhaxkZGZo8ebL12bo%2BtM76MQHgYvlk9kCnR/he3PY9121f34aEM1i1cPXVV6u8vFxHjhzRj3/84/Pun56ern79%2BoWs%2BXxNVFjIZUYA%2BC6%2BL9atuv76RkSEKzLyMhUVnVR5eUWdfq4fqmXLpo58XgrWOXbv3q1Vq1ZpxowZwbXc3Fw1atSo1pf4YmJiKu1bUHBMZWX188EHAE7h%2B2Ldulhf3/LyCu7Lc3DR9ByXX365cnJytHTpUp0%2BfVoHDhzQwoULlZ6eroiICKfHAwAALkDBOseVV16ppUuXauPGjUpOTtbIkSPVq1cvTZs2zenRAACAS3CJsArdunXTsmXLnB4DAAC4FGewAAAALKNgAQAAWEbBAgAAsIyCBQAAYBkFCwAAwDIKFgAAgGUULAAAAMsoWAAAAJZRsAAAACyjYAEAAFhGwQIAALCMggUAAGAZBQsAAMAyChYAAIBlFCwAAADLKFgAAACW%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%2BVn5%2BvnJwcpaene7JMejm/l7NL3s7v5ewS%2Bb2evyYNqy5aYoy5oNunp6dr5cqVIR/p6emWpqu/CgoKlJ2dXensnVd4Ob%2BXs0vezu/l7BL5vZ6/JpzBOkd0dLQCgUDIWiAQUFhYmKKjo2t1jJiYGJo8AAAexhmsc8THxysvL09Hjx4Nrvn9frVt21ZNmzZ1cDIAAOAWFKxzdOzYUQkJCZo/f76OHz%2Bu3NxcvfDCCxo1apTTowEAAJeIeOSRRx5xeoj6plevXlq9erUee%2Bwxvf3227rjjjs0btw4hYWFOT1avde0aVN1797ds2f7vJzfy9klb%2Bf3cnaJ/F7PX50wc6HP6AYAAEAILhECAABYRsECAACwjIIFAABgGQULAADAMgoWAACAZRQsAAAAyyhYAAAAllGwAAAALKNgAQAAWEbBQrW2bNmilJQUTZkypdK2NWvWaMiQIUpKStKwYcP04YcfBrdVVFRowYIF6t%2B/v7p166Zx48bp0KFDwe2BQECZmZlKSUlRamqqHnroIZWUlFyUTLVVXfaVK1eqQ4cOSkhICPnYsWOHpIaR/fDhw8rIyFBycrJSUlI0Y8YMFRUVSZL27Nmj0aNHq0uXLkpLS9Pzzz8fctsLeVzUF9Xl/%2Bc//6n27dtXuu//8Ic/BG/bEPJ//vnnGjt2rLp06aKUlBRlZmaqoKBAkrR161bdcccduuGGGzR48GCtWrUq5LYvvfSSbrnlFt1www0aNWqUdu7cGdx26tQp/eY3v9FNN92k5ORkTZ48WYWFhRc12/lUl/3jjz%2Bu8r5fu3Zt8LZuz/5dc%2BbMUfv27YN/b%2Bj3e50xQBWWLl1q0tLSzMiRI01mZmbItt27d5v4%2BHizadMmU1JSYt58803TqVMnk5eXZ4wx5qWXXjJ9%2B/Y1%2B/btM8eOHTP/9V//ZYYMGWIqKiqMMcZMnDjR3HPPPebIkSPmq6%2B%2BMunp6eaxxx676BmrU1P2P//5z2b06NHV3tbt2Y0x5ic/%2BYmZMWOGOX78uMnLyzPDhg0zM2fONCdPnjS9evUyixYtMsXFxWbnzp2me/fuZv369caYC39c1BfV5T906JBp165dtbdrCPlPnTplbrzxRpOdnW1OnTpljhw5YkaPHm3uu%2B8%2B869//ct07tzZvP7666akpMR89NFHJjEx0ezYscMYY8x7771nunbtarZv325OnjxplixZYnr27GmKi4uNMcZkZWWZYcOGmS%2B//NIUFhaaiRMnmvHjxzsZN0RN2f/3f//X9O3bt9rbuj37d%2B3evdt07949%2BFhv6Pd7XaJgoUovvviiKSoqMtOnT69UMh599FGTkZERsjZixAizZMkSY4wxgwcPNi%2B%2B%2BGJw27Fjx0zHjh3Ntm3bTEFBgenQoYPZs2dPcPvmzZtN586dzenTp%2BswUe3VlP18Bcvt2b/55hszY8YMU1BQEFx7%2BeWXTVpamlm7dq3p0aOHKSsrC2578sknzS9/%2BUtjzIU9LuqLmvKfr2A1hPyBQMAsX77clJaWBtdefPFFM2DAAPPcc8%2BZoUOHhuyfmZlpZs2aZYwx5p577jFz5swJbisvLzc9e/Y0q1evNqWlpaZLly5mw4YNwe379u0z7du3N1999VUdp6qdmrKfr2C5PftZ5eXlZsSIEeb3v/998LHe0O/3usQlQlRpzJgxat68eZXbdu3apY4dO4asdezYUX6/XyUlJdq3b1/I9mbNmunaa6%2BV3%2B/Xnj17FBEREXL6OS4uTidOnND%2B/fvrJsz3VFN2ScrLy9Odd96pbt26qX///nrzzTclqUFkj4yMVFZWlq644orgWl5enmJiYrRr1y61b99eERERwW0dO3YMXg64kMdFfVFT/rMefPBBpaamqkePHpo/f75KS0slNYz8UVFRGjFihHw%2BnyRp//79%2Bp//%2BR8NGjSzmm9YAAAG1ElEQVSo2nzV3f/h4eG6/vrr5ff79cUXX%2BjYsWOKi4sLbv%2BP//gPXXrppdq1a9dFSHZ%2BNWWXpOLi4uCl4169eumFF16QMUaS%2B7OftWzZMjVu3FhDhgwJrjX0%2B70uUbDwvQUCAUVFRYWsRUVFqbCwUN98842MMdVuDwQCatasmcLCwkK2SXLFdfno6Gi1bt1a06ZN00cffaT7779fM2fO1NatWxtkdr/fr1deeUUTJkxQIBBQZGRkyPYWLVooEAiooqLigh4X9dV38zdq1EhJSUkaMGCA3n//fS1dulSrVq3S73//e0kX9u%2Bivjl8%2BLDi4%2BN16623KiEhQZMnT672/j87f035A4GAJFW6fWRkZL3LX1X2Zs2aqV27dho7dqy2bNmirKwsZWdn689//rOkhpH966%2B/1qJFi/Tb3/42ZN0r93tdoGDhBzn7k9sP2X6%2B29Znffr00XPPPaeOHTuqUaNGGjx4sAYMGKCVK1cG92ko2T/99FONGzdOU6dOVUpKSrX7fbcwXsjjor45N39MTIyWLVumAQMG6JJLLlFiYqLGjx9f6/u%2BNtvri9jYWPn9fq1bt04HDx7Ugw8%2BWKvbNYT8VWWPi4vTyy%2B/rO7du6tRo0ZKTU3VyJEjG9R9n5WVpWHDhqlt27bf%2B7Zuz15XKFj43lq2bBn8yeSsQCCg6OhotWjRQuHh4VVuv/zyyxUdHa3jx4%2BrvLw8ZJskXX755XU/fB2IjY1Vfn5%2Bg8q%2BceNG3XPPPZo5c6bGjBkj6czZu3N/6gwEAsHcF/K4qG%2Bqyl%2BV2NhYff311zLGNKj80pni3Lp1a02ZMkWrV6%2BWz%2BerNH9hYaGio6Ml1fx94ew%2B527/5ptv6mX%2Bc7MfPXq00j5n/91L7s%2B%2BdetWbdu2TRkZGZW2VZWtod7vtlGw8L3Fx8eHvAxXOnMppVOnTmrcuLGuu%2B66kOvrRUVF%2BuKLL5SYmKjrr79exhh9/vnnIbeNjIxUmzZtLlqGH%2Bq1117TmjVrQtZyc3PVqlWrBpP9s88%2B0/Tp07Vw4UINHTo0uB4fH6%2B9e/eqrKwsuHb2fj%2B7/Yc%2BLuqT6vJv3bpVTz/9dMi%2B%2B/fvV2xsrMLCwhpE/q1bt%2BqWW25RRUVFcC08/Mx/E4mJiZXy7dy5M%2BT%2B/26%2B8vJy7d69W506dVKrVq0UFRUVsv3vf/%2B7Tp8%2Brfj4%2BLqMVGs1Zd%2B8ebNeffXVkP3379%2BvVq1aSXJ/9lWrVunIkSPq27evkpOTNWzYMElScnKy2rVr16Dv9zp1EZ9QDxeq6pV0e/fuNQkJCeb99983JSUl5vXXXzdJSUkmPz/fGGPMq6%2B%2Bavr06RN8OfqsWbPM8OHDg7fPzMw0d911lzly5IjJy8szw4cPN3Pnzr2ouWqjqux//OMfTY8ePcyOHTvM6dOnzVtvvWWuv/564/f7jTHuz15aWmoGDRpkli1bVmnbqVOnTN%2B%2Bfc3vfvc7c%2BLECbN9%2B3bTtWtX8/777xtjLvxxUR/UlN/v95u4uDjzxhtvmNOnT5sdO3aYnj17mueff94Y0zDyFxUVmZSUFDN37lxz4sQJc%2BTIETNu3Djz85//3Hz99dcmKSnJLF%2B%2B3JSUlJhNmzaZxMTE4KtiN2/ebLp06WK2bdtmTpw4YRYtWmR69%2B5tTp48aYw584rT22%2B/3Xz55Zfm6NGjZvz48WbSpElOxg1RU/Z3333XJCYmmi1btpjTp0%2BbDz/80HTu3Dn4FiVuzx4IBExeXl7wY9u2baZdu3YmLy/PHD58uEHf73WJgoUqxcfHm/j4eNOhQwfToUOH4N/PWr9%2BvUlLSzNxcXHmpz/9qfnrX/8a3FZRUWEWLlxobrzxRpOYmGjuvvvu4HsBGXPmG9mUKVNM586dTbdu3cyjjz5qTp06dVHz1aSm7BUVFWbx4sWmb9%2B%2BJj4%2B3gwcONBs3LgxeFu3Z/%2B///s/065du2Dm737885//NHv37jUjR4408fHxpk%2BfPuZPf/pTyO0v5HFRH5wv/zvvvGNuu%2B02k5iYaHr27GmeeeYZU15eHry92/MbY8znn39uRo8ebRITE02PHj1MZmZm8CX1f/3rX81tt91m4uLiTFpaWrBgnPWnP/3J9O7d28THx5tRo0aZvXv3BredOnXKPPLII6Zbt24mKSnJ3H///aaoqOiiZjufmrIvW7bMpKWlmYSEBNO3b1%2BzfPnykNu6Pft3nfuWJA39fq8rYcZ49NlnAAAAdYTnYAEAAFhGwQIAALCMggUAAGAZBQsAAMAyChYAAIBlFCwAAADLKFgAAACWUbAAAAAso2ABAABYRsECAACwjIIFAABgGQULAADAMgoWAACAZf8PImBRiFY3tigAAAAASUVORK5CYII%3D\"/>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common5831162764915548443\">\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">1568.9</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">1953.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">1955.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">2138.0</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">2169.0</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">1492.2</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">1505.9</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">1907.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">1689.9</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">2796.6</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"other\">\n", | |
| " <td class=\"fillremaining\">Other values (91)</td>\n", | |
| " <td class=\"number\">91</td>\n", | |
| " <td class=\"number\">90.1%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"extreme5831162764915548443\">\n", | |
| " <p class=\"h4\">Minimum 5 values</p>\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">714.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">755.2</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">805.3</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">813.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">820.3</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " <p class=\"h4\">Maximum 5 values</p>\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">3670.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">3800.2</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">3837.2</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">4083.0</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">4146.3</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| "</div><div class=\"row variablerow\">\n", | |
| " <div class=\"col-md-3 namecol\">\n", | |
| " <p class=\"h4 pp-anchor\" id=\"pp_var_Income from /to the Rest of the World (Receipt)\">Income from /to the Rest of the World (Receipt)<br/>\n", | |
| " <small>Numeric</small>\n", | |
| " </p>\n", | |
| " </div><div class=\"col-md-6\">\n", | |
| " <div class=\"row\">\n", | |
| " <div class=\"col-sm-6\">\n", | |
| " <table class=\"stats \">\n", | |
| " <tr>\n", | |
| " <th>Distinct count</th>\n", | |
| " <td>101</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Unique (%)</th>\n", | |
| " <td>100.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Infinite (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Infinite (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| "\n", | |
| " </div>\n", | |
| " <div class=\"col-sm-6\">\n", | |
| " <table class=\"stats \">\n", | |
| "\n", | |
| " <tr>\n", | |
| " <th>Mean</th>\n", | |
| " <td>4742.6</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Minimum</th>\n", | |
| " <td>2394.4</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Maximum</th>\n", | |
| " <td>8749.5</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Zeros (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| "<div class=\"col-md-3 collapse in\" id=\"minihistogram1360337474142344555\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAATRJREFUeJzt3MttAjEARVFAKYki0lPW6SlF0JNpAF0JlGGM55w9kjeXx8dwHmOME/DQZe8DwMy%2B9j7Af7j%2B/D39mNvv9wYnYTUWBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgLHHV5F2evdLiOsvnsyAQBALhsC%2BxXrkBzPFYEAjTLYhndmZiQSAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCATCdJcVV%2BJPtT%2BfBYFgQQ7oXT8pWGENLQgEC7IAPzLbjgWBIBAIAoEgEAjepLOZFb4otSAQLMhkfGQ7FwsCQSAQBAJBIBAEAkEgEM5jjLH3IWBWFgSCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCATCHeOzHTuOIN%2BcAAAAAElFTkSuQmCC\">\n", | |
| "\n", | |
| "</div>\n", | |
| "<div class=\"col-md-12 text-right\">\n", | |
| " <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives1360337474142344555,#minihistogram1360337474142344555\"\n", | |
| " aria-expanded=\"false\" aria-controls=\"collapseExample\">\n", | |
| " Toggle details\n", | |
| " </a>\n", | |
| "</div>\n", | |
| "<div class=\"row collapse col-md-12\" id=\"descriptives1360337474142344555\">\n", | |
| " <ul class=\"nav nav-tabs\" role=\"tablist\">\n", | |
| " <li role=\"presentation\" class=\"active\"><a href=\"#quantiles1360337474142344555\"\n", | |
| " aria-controls=\"quantiles1360337474142344555\" role=\"tab\"\n", | |
| " data-toggle=\"tab\">Statistics</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#histogram1360337474142344555\" aria-controls=\"histogram1360337474142344555\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#common1360337474142344555\" aria-controls=\"common1360337474142344555\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#extreme1360337474142344555\" aria-controls=\"extreme1360337474142344555\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n", | |
| "\n", | |
| " </ul>\n", | |
| "\n", | |
| " <div class=\"tab-content\">\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles1360337474142344555\">\n", | |
| " <div class=\"col-md-4 col-md-offset-1\">\n", | |
| " <p class=\"h4\">Quantile statistics</p>\n", | |
| " <table class=\"stats indent\">\n", | |
| " <tr>\n", | |
| " <th>Minimum</th>\n", | |
| " <td>2394.4</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>5-th percentile</th>\n", | |
| " <td>2694.8</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Q1</th>\n", | |
| " <td>3215.8</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Median</th>\n", | |
| " <td>4342.5</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Q3</th>\n", | |
| " <td>6043.9</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>95-th percentile</th>\n", | |
| " <td>7965.1</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Maximum</th>\n", | |
| " <td>8749.5</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Range</th>\n", | |
| " <td>6355.1</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Interquartile range</th>\n", | |
| " <td>2828.1</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " <div class=\"col-md-4 col-md-offset-2\">\n", | |
| " <p class=\"h4\">Descriptive statistics</p>\n", | |
| " <table class=\"stats indent\">\n", | |
| " <tr>\n", | |
| " <th>Standard deviation</th>\n", | |
| " <td>1760.4</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Coef of variation</th>\n", | |
| " <td>0.37118</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Kurtosis</th>\n", | |
| " <td>-0.6835</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Mean</th>\n", | |
| " <td>4742.6</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>MAD</th>\n", | |
| " <td>1451.4</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"\">\n", | |
| " <th>Skewness</th>\n", | |
| " <td>0.69722</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Sum</th>\n", | |
| " <td>479000</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Variance</th>\n", | |
| " <td>3098900</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Memory size</th>\n", | |
| " <td>888.0 B</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram1360337474142344555\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzt3X9cVvX9//EncOVPvBBMcKmpK3Uq%2BCNFEiwVm5quX5oj/TSr2ZaNMkzLmvmx0ikVZk6cZW0tZ2uUc2Vk/kor57xt2S/xVyXaNNO4Eq5ABIGL9/ePvl2fThcUyoEDXI/77eaNrvd5X%2Be8ziuOPjnnXIcQY4wRAAAAbBPqdAEAAABNDQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAm7mcLiBYeDxFTpfgiNDQEEVFtVZ%2BfrEqK43T5TQI9CQQPbGiH4HoSSB6YlVdP9q3b%2BNMPY5sFUEjNDREISEhCg0NcbqUBoOeBKInVvQjED0JRE%2BsGlo/CFgAAAA2I2ABAADYjIAFAABgMwIWAACAzQhYAAAANiNgAQAA2IyABQAAYDMCFgAAgM0IWAAAADYjYAEAANiMgAUAAGAzAhYAAIDNCFgAAAA2czldAILHlU/scLqEs/J6WpLTJQAAGinOYAEAANiMgAUAAGAzAhYAAIDNCFgAAAA2I2ABAADYjIAFAABgMwIWAACAzQhYAAAANiNgAQAA2KzJBKxjx44pNTVVCQkJSkxM1H333afCwkJJ0v79%2B3XjjTdq4MCBGjVqlP70pz9Vu57KykotWbJEI0eOVHx8vKZOnaqjR4/W124AAIAmoMkErGnTpsntdmvr1q1au3atPvnkEz3yyCMqLS3VbbfdpksvvVTbt2/XkiVL9NRTT2nTpk1Vruf555/Xq6%2B%2BqpUrV2rbtm3q2rWrUlNTZYyp5z0CAACNVZMIWIWFhYqNjdXMmTPVunVrdejQQdddd5127dqlN998U%2BXl5br99tvVqlUr9enTRxMnTlRWVlaV68rKytLNN9%2Bsiy66SOHh4ZoxY4Zyc3P14Ycf1vNeAQCAxqpJBCy3261Fixbp/PPP948dP35c0dHR2rt3r3r27KmwsDD/st69e2vPnj0B6yktLdXBgwfVu3dv/1h4eLi6dOminJycut0JAADQZLicLqAu5OTkaPXq1VqxYoVef/11ud1uy/K2bdvK6/WqsrJSoaH/lzG/%2BuorGWMUERFhmR8REaGCgoIabz8vL08ej8cy5nK1UnR09DnsTeMWFhZq%2BdqYuFx1U3Nj7kldoSdW9CMQPQlET6waWj%2BaXMB69913dfvtt2vmzJlKTEzU66%2B/XuW8kJCQatdR2/utsrKylJmZaRlLTU3V9OnTa7Xexsztbul0CWctMrJ1na6/MfakrtETK/oRiJ4EoidWDaUfTSpgbd26Vffcc4/mzp2ra6%2B9VpIUFRWlTz/91DLP6/Wqbdu2lrNXkvxjXq83YH67du1qXEdKSoqSk5MtYy5XKxUUFJ/F3jQNYWGhcrtbqrCwxOlSzlpd/f/6dk98vso62UZjQ0%2Bs6EcgehKInlhV14%2B6/mG5Ok0mYL333nuaPXu2li5dqqFDh/rHY2Nj9cILL6iiokIu19e7m5OTo379%2BgWso3nz5urevbv27t2rwYMHS/r6BvojR46ob9%2B%2BNa4lOjo64HKgx1OkiorgPQAa48Ff1/%2B/fL7KoP6eqAo9saIfgehJIHpi1VD60TAuVNZSRUWFHnjgAc2aNcsSriRp2LBhCg8P14oVK1RSUqIPP/xQa9as0aRJkyRJX3zxhcaMGeN/1tWkSZO0atUq5ebm6tSpU8rIyFCvXr0UFxdX7/sFAAAapyZxBuuDDz5Qbm6uFixYoAULFliWbdiwQU8%2B%2BaTmzZunlStX6vzzz9eMGTM0fPhwSVJ5ebkOHz6ssrIySdINN9wgj8ejX/ziFyouLlZCQkLA/VQAAADfJ8TwBM164fEUOV2CI1yuUEVGtlZBQbF%2BmrHd6XLOyutpSXWy3m/3pCGcxm4I6IkV/QhETwLRE6vq%2BtG%2BfRtH6mkSlwgBAAAaEgIWAACAzQhYAAAANiNgAQAA2IyABQAAYDMCFgAAgM0IWAAAADYjYAEAANiMgAUAAGAzAhYAAIDNCFgAAAA2I2ABAADYjIAFAABgMwIWAACAzQhYAAAANiNgAQAA2IyABQAAYDMCFgAAgM0IWAAAADYjYAEAANiMgAUAAGAzAhYAAIDNCFgAAAA2I2ABAADYjIAFAABgMwIWAACAzVxOF2Cn7du3a/bs2UpISNCSJUv84w888IBeeeUVy1yfz6drrrlGixYtClhPcnKy8vLyFBIS4h9LSkrSk08%2BWXfFAwCAJqPJBKynn35aa9asUZcuXQKWLViwQAsWLPC/rqio0LXXXqsxY8ZUu74//vGPSkhIqJNaAQBA09ZkLhE2b9682oD1Xc8995wuuOACDRs2rB4qAwAAwabJnMGaMmVKjeYVFhbqySef1F//%2Btfvnbdq1SrNmTNHJ0%2Be1GWXXaZ58%2BapXbt2NdpGXl6ePB6PZczlaqXo6Ogavb8pCQsLtXxtTFyuuqm5MfekrtATK/oRiJ4EoidWDa0fTSZg1dTq1asVHx%2Bv7t27VzunV69e6tu3rx599FEVFhZq9uzZuuuuu7R69eoabSMrK0uZmZmWsdTUVE2fPr1WtTdmbndLp0s4a5GRret0/Y2xJ3WNnljRj0D0JBA9sWoo/QiqgOXz%2BfT8889r8eLF3ztv%2BfLl/v9u3bq15s2bp7Fjx%2BrIkSO68MILf3A7KSkpSk5Otoy5XK1UUFB8boU3YmFhoXK7W6qwsMTpUs5aXf3/%2BnZPfL7KOtlGY0NPrOhHIHoSiJ5YVdePuv5huTpBFbDeeecdlZWVadCgQWf1vo4dO0r6%2BtJfTQJWdHR0wOVAj6dIFRXBewA0xoO/rv9/%2BXyVQf09URV6YkU/AtGTQPTEqqH0o2FcqKwnb7zxhi699FK5XNXnymPHjmnevHkqKyvzj%2BXm5kqSOnfuXOc1AgCAxi%2BoAtb%2B/fvVqVOngPHNmzdr8uTJkqR27dpp69atSk9P1%2BnTp/XFF19o0aJFGjFihGJiYuq7ZAAA0Ag1mUuEcXFxkr5%2BxpUkbdmyRZKUk5Pjn%2BPxeHT%2B%2BecHvLeoqEj//e9/JUktWrTQM888o/T0dF1%2B%2BeWSpJ/%2B9Ke6//7767R%2BAADQdDSZgPXtIFWdjRs3Vjk%2Bfvx4jR8/3v%2B6Z8%2BeevbZZ22rDQAABJegukQIAABQHwhYAAAANiNgAQAA2IyABQAAYDMCFgAAgM0IWAAAADYjYAEAANiMgAUAAGAzAhYAAIDNCFgAAAA2I2ABAADYjIAFAABgMwIWAACAzQhYAAAANiNgAQAA2MzldAEA7HHlEzucLqHGXk9LcroEAKhTnMECAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALBZkwpY27dvV2JiombMmGEZX7t2rX7yk58oLi7O8mf37t1Vrsfr9SotLU2JiYkaOnSo5syZo9LS0vrYBQAA0AQ0mV%2BV8/TTT2vNmjXq0qVLlcvj4%2BP1l7/8pUbrmjt3rsrKypSdna3y8nLdddddysjI0AMPPGBnyQAAoIlqMmewmjdv/r0Bq6a%2B/PJLbdmyRTNmzFBUVJRiYmL0m9/8Rn//%2B99VXl5uU7UAAKApazJnsKZMmfK9y48fP65bbrlFe/bskdvt1vTp03XNNdcEzNu/f7/CwsLUs2dP/1ifPn10%2BvRpHTp0yDJenby8PHk8HsuYy9VK0dHRNdybpiMsLNTytTFxueqm5sbcE7t8t7f0xIp%2BBKIngeiJVUPrR5MJWN8nKipKXbt21d13362LL75Ymzdv1r333qvo6GgNGTLEMtfr9So8PFwhISH%2BsYiICElSQUFBjbaXlZWlzMxMy1hqaqqmT59eyz1pvNzulk6XcNZ%2BmrHd6RKarMjI1lWON8bvk7pEPwLRk0D0xKqh9CMoAtbw4cM1fPhw/%2Btx48Zp8%2BbNWrt2bUDAkiRjTK22l5KSouTkZMuYy9VKBQXFtVpvYxQWFiq3u6UKC0ucLgUNyHePhW9/n/h8lQ5V1XDQj0D0JBA9saquH9X9QFfXgiJgVaVjx47as2dPwHhUVJROnToln8%2BnsLAwSV%2Bf1ZKkdu3a1Wjd0dHRAZcDPZ4iVVQE7wHAwY9vq%2B5Y8Pkqg/o4%2BS76EYieBKInVg2lHw3jQmUde%2BGFF7R%2B/XrLWG5urjp37hwwt1evXjLG6MCBA/6xnJwcud1udevWrc5rBQAAjV9QBKyysjLNnz9fOTk5Ki8vV3Z2tt5%2B%2B23dcMMNkqTNmzdr8uTJkr4%2BgzV69Gg98cQTys/P14kTJ7R8%2BXJdf/31crmC9oQfAAA4C00mMcTFxUmSKioqJElbtmyR9PXZpylTpqi4uFh33XWXPB6POnXqpOXLlys2NlaSVFRUpP/%2B97/%2BdT388MOaN2%2BeRo4cqfPOO08/%2B9nPAh5eCgAAUJ0QU9s7ulEjHk%2BR0yU4wuUKVWRkaxUUFPOpPPi9npZkef3t75OGcO%2BE0%2BhHIHoSiJ5YVdeP9u3bOFJPUFwiBAAAqE8ELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwWZN5knuwuvKJHU6XAAAAvoMzWAAAADYjYAEAANiMgAUAAGAzAhYAAIDNCFgAAAA2I2ABAADYjIAFAABgMwIWAACAzQhYAAAANnM8YCUnJyszM1PHjx93uhQAAABbOB6wJkyYoPXr1%2BuKK67Qrbfeqk2bNqmiosLpsgAAAM6Z4wErNTVV69ev14svvqju3btr4cKFGjZsmB577DEdPnzY6fIAAADOmuMB6xt9%2BvTR7NmztW3bNv32t7/Viy%2B%2BqLFjx2rq1KnavXu30%2BUBAADUWIMJWOXl5Vq/fr1%2B9atfafbs2YqJidH999%2BvXr166eabb9arr77qdIkAAAA14nK6gNzcXK1Zs0Yvv/yyiouLNXr0aD333HMaOHCgf058fLwefPBBXXXVVQ5WCgAAUDOOB6xx48apW7duuu2223Tttdeqbdu2AXOGDRum/Px8B6oDAAA4e44HrFWrVmnw4ME/OO/DDz/83uXbt2/X7NmzlZCQoCVLlliWbdq0SZmZmTp69Kiio6M1depU/fznP69yPb/4xS/03nvvKTT0/66eduvWTevWravB3gAAADSAgNWzZ09NmzZN119/va644gpJ0p///Gft2LFDjz32WJVntL7r6aef1po1a9SlS5eAZbt379asWbP0%2BOOPa/jw4dqxY4dSU1P14x//WIMGDapyffPnz9f48eNrt2MAACBoOX6T%2B6JFi1RUVKSLL77YPzZ8%2BHBVVlYqPT29Ruto3rx5tQHL6/Xqtttu0xVXXCGXy6Vhw4apR48e2rVrl237AAAA8G2On8H65z//qVdffVWRkZH%2Bsa5duyojI0M/%2B9nParSOKVOmVLvs8ssv1%2BWXX%2B5/XVFRIY/Ho5iYmGrfs379ej3zzDM6fvy4%2BvXrp4cfflgXXnhhjWoBAABwPGCVlpaqefPmAeOhoaEqKSmxfXsZGRlq1aqVxo4dW%2BXyiy66SC1btlRGRoYqKyu1YMEC3XrrrcrOzlazZs1qtI28vDx5PB7LmMvVStHR0bWuH2gKXC7ryfOwsFDL12BHPwLRk0D0xKqh9cPxgBUfH6/09HTNnDlTERERkqQvvvhCjzzyiOVRDbVljFFGRoays7O1atWqKkOdJD344IOW1w8//LASEhL07rvvasiQITXaVlZWljIzMy1jqampmj59%2BjnVDjQ1kZGtqxx3u1vWcyUNG/0IRE8C0ROrhtIPxwPWb3/7W/3yl7/UkCFDFB4ersrKShUXF6tz5876y1/%2BYss2Kisrdf/992v37t164YUX1Llz5xq/Nzw8XBEREfriiy9q/J6UlBQlJydbxlyuViooKK7xOoCm7LvHQlhYqNzuliosLJHPV%2BlQVQ0H/QhETwLRE6vq%2BlHdD3R1zfGA1blzZ7322mt6%2B%2B23deTIEYWGhqpbt24aOnSowsLCbNnGwoUL9cknn%2BiFF1743k8lnjp1ShkZGbr99tv992jl5%2BcrPz//rEJZdHR0wOVAj6dIFRUcAICkao8Fn6%2BS4%2BRb6EcgehKInlg1lH44HrAkqVmzZv5HNNjt3Xff1bp167R%2B/foqw9Xu3bt17733at26dQoPD9eHH36oBQsWaP78%2BQoJCdFDDz2knj17asCAAXVSHwAAaHocD1hHjx7V4sWL9cknn6i0tDRg%2BRtvvPGD64iLi5P09ScEJWnLli2SpJycHP39739XUVGRRowYYXlPfHy8/vSnP6mkpESHDx%2BWMUaStHz5ci1cuFCjR49WWVmZhgwZopUrV1oePAoAAPB9Qsw3ycIhv/jFL5SXl6ehQ4eqVatWActnzpzpQFX283iK6mS9Vz6xo07WC9Sl19OSLK9drlBFRrZWQUFxgzi17zT6EYieBKInVtX1o337Ns7U48hWv2XPnj164403FBUV5XQpAAAAtnD8ule7du2qPHMFAADQWDkesG677TZlZmbK4SuVAAAAtnH8EuHbb7%2Bt9957T2vXrlWnTp0Cbib/29/%2B5lBlAAAA58bxgBUeHm75XYEAAACNneMBa9GiRU6XAAAAYCvH78GSpEOHDmnZsmW6//77/WPvv/%2B%2BgxUBAACcO8cD1s6dO3X11Vdr06ZNys7OlvT1w0enTJlSo4eMAgAANDSOB6wlS5bonnvu0auvvqqQkBBJX/9%2BwvT0dC1fvtzh6gAAAM6e4wHr448/1qRJkyTJH7AkacyYMcrNzXWqLAAAgHPmeMBq06ZNlb%2BDMC8vT82aNXOgIgAAgNpxPGBdcsklWrhwoU6dOuUfO3z4sGbPnq0hQ4Y4WBkAAMC5cfwxDffff79uuukmJSQkyOfz6ZJLLlFJSYm6d%2B%2Bu9PR0p8sDAAA4a44HrA4dOig7O1tvvfWWDh8%2BrBYtWqhbt25KSkqy3JMFAADQWDgesCTpvPPO0xVXXOF0GQAAALZwPGAlJyd/75kqnoUFAAAaG8cD1tixYy0By%2Bfz6fDhw8rJydFNN93kYGUAAADnxvGANWvWrCrHN27cqH//%2B9/1XA0AAEDtOf6YhupcccUVeu2115wuAwAA4Kw12IC1b98%2BGWOcLgMAAOCsOX6J8IYbbggYKykpUW5urkaNGuVARQAAALXjeMDq2rVrwKcImzdvruuvv14TJ050qCoAAIBz53jA4mntAACgqXE8YL388ss1nnvttdfWYSUAAAD2cDxgzZkzR5WVlQE3tIeEhFjGQkJCCFgAAKBRcPxThM8884yGDh2q559/Xrt27dI777yj1atX6/LLL9fTTz%2Bt3bt3a/fu3frwww9/cF3bt29XYmKiZsyYEbBs/fr1uuqqqzRgwACNHz9e//znP6tdj9frVVpamhITEzV06FDNmTNHpaWltdpPAAAQPBw/g5Wenq6VK1cqJibGPzZo0CB17txZU6dOVXZ2do3W8/TTT2vNmjXq0qVLwLL9%2B/dr9uzZyszM1KWXXqqNGzfqjjvu0IYNG9ShQ4eA%2BXPnzlVZWZmys7NVXl6uu%2B66SxkZGXrggQfOfUcBAEDQcPwM1qeffqqIiIiAcbfbrWPHjtV4Pc2bN682YL300ksaNmyYhg0bpubNm%2Bvqq69Wjx49tG7duoC5X375pbZs2aIZM2YoKipKMTEx%2Bs1vfqO///3vKi8vP7udAwAAQcnxgNWxY0elp6eroKDAP1ZYWKjFixfrwgsvrPF6pkyZojZt2lS5bO/everdu7dlrHfv3srJyQmYu3//foWFhalnz57%2BsT59%2Buj06dM6dOhQjesBAADBy/FLhL/97W81c%2BZMZWVlqXXr1goNDdWpU6fUokULLV%2B%2B3JZteL3egLNkEREROnjwYJVzw8PDLc/m%2Bua93w6B3ycvL08ej8cy5nK1UnR09NmWDjRJLpf1Z7uwsFDL12BHPwLRk0D0xKqh9cPxgDV06FC9%2Beabeuutt3TixAkZYxQTE6PLLrus2jNS5%2BJsfu1ObX9FT1ZWljIzMy1jqampmj59eq3WCzQVkZGtqxx3u1vWcyUNG/0IRE8C0ROrhtIPxwOWJLVs2VIjR47UiRMn1LlzZ9vXHxkZKa/Xaxnzer2KiooKmBsVFaVTp07J5/MpLCzMP1eS2rVrV6PtpaSkKDk52TLmcrVSQUHxuZQPNDnfPRbCwkLldrdUYWGJfL5Kh6pqOOhHIHoSiJ5YVdeP6n6gq2uOB6zS0lLNmzdPr732miRpz549Kiws1N13363HH39cbre71tuIjY3Vnj17LGM5OTkaN25cwNxevXrJGKMDBw6oT58%2B/rlut1vdunWr0faio6MDLgd6PEWqqOAAACRVeyz4fJUcJ99CPwLRk0D0xKqh9MPxC5WPPfaY9u/fr4yMDIWG/l85Pp9PGRkZtmzj5z//uf71r3/pzTff1JkzZ7RmzRp9%2BumnuvrqqyVJmzdv1uTJkyV9fQZr9OjReuKJJ5Sfn68TJ05o%2BfLluv766%2BVyOZ5HAQBAI%2BB4wNq4caN%2B//vfa8yYMf4by91utxYtWqRNmzbVeD1xcXGKi4vTK6%2B8og0bNvhfS1KPHj2UkZGhRYsWaeDAgVq9erWeeuoptW/fXpJUVFSk//73v/51Pfzww2rTpo1Gjhypq6%2B%2BWn379q3y4aUAAABVcfyUTHFxsbp27RowHhUVpdOnT9d4PVU9cuHbRo0apVGjRlW5bPz48Ro/frz/dZs2bfT444/XeNsAAADf5vgZrAsvvFD//ve/JVk/vbdhwwZdcMEFTpUFAABwzhw/gzV58mTdeeedmjBhgiorK/Xss89qz5492rhxo%2BbMmeN0eQAAAGfN8YCVkpIil8ul1atXKywsTE8%2B%2BaS6deumjIwMjRkzxunyAAAAzprjASs/P18TJkzQhAkTnC4FAADAFo7fgzVy5MhaPzkdAACgIXE8YCUkJOj11193ugwAAADbOH6J8Ec/%2BpF%2B97vfaeXKlbrwwgt13nnnWZYvXrzYocoAAADOjeMB6%2BDBg/rxj38sSSooKHC4GgAAgNpzLGDNmDFDS5Ys0V/%2B8hf/2PLly5WamupUSQAAALZw7B6srVu3BoytXLnSgUoAAADs5VjAquqTg3yaEAAANAWOBaxvfrHzD40BAAA0No4/pgEAAKCpIWABAADYzLFPEZaXl2vmzJk/OMZzsAAAQGPjWMAaOHCg8vLyfnAMAACgsXEsYH37%2BVcAAABNCfdgAQAA2IyABQAAYDMCFgAAgM0IWAAAADYjYAEAANiMgAUAAGAzxx7TACB4XfnEDqdLOCuvpyU5XQKARoYzWAAAADYjYAEAANgsKC4RvvPOO/rlL39pGTPGqLy8XB999JFlfNmyZfrDH/4gl8vamm3btun888%2Bv81oBAEDjFxQBKz4%2BXjk5OZaxJ598UgcOHKhy/jXXXKP09PT6KA0AADRBQRGwvuvzzz/Xs88%2Bq3/84x9OlwIAAJqgoAxYS5cu1YQJE3TBBRdUufyjjz7SDTfcoI8//lg/%2BtGPdP/992vo0KE1Xn9eXp48Ho9lzOVqpejo6FrVDcAZLlf93q4aFhZq%2BQp6UhV6YtXQ%2BhF0Aeuzzz7Tpk2btGnTpiqXd%2BjQQZ07d9bMmTMVHR2trKwsTZs2TevWrdOPf/zjGm0jKytLmZmZlrHU1FRNnz691vUDqH%2BRka0d2a7b3dKR7TZk9CQQPbFqKP0IMcYYp4uoT4888ojy8/P1yCOP1Pg9EydOVFJSktLS0mo0vz7PYP00Y7vt6wRgtXnWZfW6vbCwULndLVVYWCKfr7Jet91Q0ZNA9MSqun449QNS0J3B2rhxo2bPnn1W7%2BnYsaPy8vJqPD86OjogTHk8Raqo4AAAGiOnjl2fr5K/N76DngSiJ1YNpR8N40JlPdm/f7%2BOHTumpKTqn8r8hz/8QTt37rSM5ebmqnPnznVdHgAAaCKCKmDt27dPbdu2VXh4uGV8zJgx2rVrlyTJ6/XqoYce0qFDh3TmzBn96U9/0pEjR3Tdddc5UTIAAGiEguoS4Zdffqn27dsHjB8%2BfFinT5%2BWJM2cOVOSdPPNN8vr9eriiy/Wn//8Z3Xo0KFeawUAAI1X0N3k7hSPp6hO1tvYfmku0BjV9y97drlCFRnZWgUFxQ3iXpKGgJ4EoidW1fWjffs2ztTjyFYBABA/JNa1%2Bv7hAP8nqO7BAgAAqA8ELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJu5nC4AAGCvK5/Y4XQJQNDjDBYAAIDNCFgAAAA2I2ABAADYjIAFAABgMwIWAACAzQhYAAAANiNgAQAA2IyABQAAYDMCFgAAgM2C5knuPXv21HnnnaeQkBD/2M9//nPNnTs3YO6qVav0/PPPy%2BPxqGfPnpozZ45iY2Prs1wAANCIBU3AkqQNGzaoU6dO3ztn69atWrZsmZ555hn17NlTq1at0rRp07Rp0ya1atWqnioFAACNGZcIvyMrK0vjx49Xv3791KJFC916662SpG3btjlcGQAAaCyC6gzW4sWL9f777%2BvUqVO68sordd9996l169aWOXv37tXYsWP9r0NDQ9WrVy/l5ORo3LhxNdpOXl6ePB6PZczlaqXo6Oja7wSAeudy1e/PomFhoZavwLmq7%2B9dJzW04yZoAlb//v2VmJioRx55REeRjOW5AAATd0lEQVSPHlVaWpoeeughPfroo5Z5Xq9XERERlrGIiAgVFBTUeFtZWVnKzMy0jKWmpmr69OnnvgMAHBMZ2fqHJ9UBt7ulI9tF0%2BHU966TGspxEzQBKysry//fF110kWbNmqXbb79dCxYsULNmzSxzjTG12lZKSoqSk5MtYy5XKxUUFNdqvQCcUd/HblhYqNzuliosLJHPV1mv20bTEkz/7lR33DgVMoMmYH1Xp06d5PP5dPLkSf3oRz/yj0dGRsrr9Vrmer1ede/evcbrjo6ODrgc6PEUqaKCvyiBxsipY9fnq%2BTvDdRKMH7/NJTjpmFcqKxj%2B/btU3p6umUsNzdXzZo1CwhCsbGx2rt3r/%2B1z%2BfTvn371K9fv3qpFQAANH5BEbDatWunrKwsrVy5UmVlZTp8%2BLCWLl2qlJQUhYWFacyYMdq1a5ckadKkSXr55Zf1wQcfqKSkRCtWrFCzZs00fPhwZ3cCAAA0GkFxiTAmJkYrV67U4sWL/YHpuuuu04wZMyRJhw8f1unTpyVJl19%2Bue6%2B%2B26lpaXp5MmTiouL08qVK9WiRQsndwEAADQiQRGwJCk%2BPl5/%2B9vfqlz20UcfWV5PnjxZkydPro%2ByAABAExQUlwgBAADqEwELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGwWNA8aBQAg2Fz5xA6nS6ix19OSnC7BVpzBAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsJnL6QIAoKG78okdTpcAoJHhDBYAAIDNCFgAAAA2C5qAdezYMaWmpiohIUGJiYm67777VFhYGDBv7dq1%2BslPfqK4uDjLn927dztQNQAAaIyCJmBNmzZNbrdbW7du1dq1a/XJJ5/okUceqXJufHy8cnJyLH/69u1bzxUDAIDGKigCVmFhoWJjYzVz5ky1bt1aHTp00HXXXaddu3Y5XRoAAGiCgiJgud1uLVq0SOeff75/7Pjx44qOjq5y/vHjx3XLLbcoPj5eI0eO1CuvvFJfpQIAgCYgKB/TkJOTo9WrV2vFihUBy6KiotS1a1fdfffduvjii7V582bde%2B%2B9io6O1pAhQ2q0/ry8PHk8HsuYy9Wq2kAHAECwc7lqd84nLCzU8tVpQRew3n33Xd1%2B%2B%2B2aOXOmEhMTA5YPHz5cw4cP978eN26cNm/erLVr19Y4YGVlZSkzM9MylpqaqunTp9eqdgAAmqrIyNa2rMftbmnLemorqALW1q1bdc8992ju3Lm69tpra/y%2Bjh07as%2BePTWen5KSouTkZMuYy9VKBQXFNV4HAADBpLb/RoaFhcrtbqnCwhL5fJX%2BcbuC29kKmoD13nvvafbs2Vq6dKmGDh1a7bwXXnhBERERGjt2rH8sNzdXnTt3rvG2oqOjAy4HejxFqqiorOYdAAAEN7v%2BjfT5KhvEv7cN40JlHauoqNADDzygWbNmVRmubrrpJq1fv16SVFZWpvnz5ysnJ0fl5eXKzs7W22%2B/rRtuuKG%2BywYAAI1UUJzB%2BuCDD5Sbm6sFCxZowYIFlmUbNmzQ0aNH9dVXX0mSpkyZouLiYt11113yeDzq1KmTli9frtjYWCdKBwAAjVCIMcY4XUQw8HiK6mS9/BJaAEBT8HpaUq3e73KFKjKytQoKii2XCNu3b1Pb0s5JUFwiBAAAqE8ELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsBkBCwAAwGYELAAAAJsFTcA6duyYfv3rXyshIUEjRozQY489psrKyirnrlq1SqNHj9Yll1yiSZMmac%2BePfVcLQAAaMyCJmDdeeediomJ0ZYtW/Tss89qy5Yteu655wLmbd26VcuWLdOjjz6qf/3rXxoxYoSmTZum06dPO1A1AABojIIiYOXk5OjAgQOaNWuW2rRpo65du%2Brmm29WVlZWwNysrCyNHz9e/fr1U4sWLXTrrbdKkrZt21bfZQMAgEbK5XQB9WHv3r3q2LGjIiIi/GN9%2BvTR4cOHderUKYWHh1vmjh071v86NDRUvXr1Uk5OjsaNG1ej7eXl5cnj8VjGXK5Wio6OruWeAADQNLlctTvnExYWavnqtKAIWF6vV2632zL2TdgqKCiwBCyv12sJYt/MLSgoqPH2srKylJmZaRm74447dOedd55t6T9o1%2B/G2L5OO%2BXl5SkrK0spKSkEzP%2BPngSiJ1b0IxA9CURPrPLy8vTcc880mH40jJhXD4wxdTK3KikpKVq7dq3lT0pKSq3W2Vh5PB5lZmYGnNELZvQkED2xoh%2BB6EkgemLV0PoRFGewoqKi5PV6LWNer1chISGKioqyjEdGRlY5t3v37jXeXnR0dINIzwAAwBlBcQYrNjZWx48fV35%2Bvn8sJydHF198sVq3bh0wd%2B/evf7XPp9P%2B/btU79%2B/eqtXgAA0LgFRcDq3bu34uLitHjxYp06dUq5ubl69tlnNWnSJEnSmDFjtGvXLknSpEmT9PLLL%2BuDDz5QSUmJVqxYoWbNmmn48OEO7gEAAGhMwh588MEHnS6iPlx22WXKzs7W/Pnz9dprr%2Bn666/X1KlTFRISovnz5%2BvKK69Uly5d1KVLF4WHh%2Bt3v/udfv/736usrEyLFy9WTEyM07vQaLVu3VqDBw8OOFsYzOhJIHpiRT8C0ZNA9MSqIfUjxNT2jm4AAABYBMUlQgAAgPpEwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAQo0dOHBAN910kwYOHKjExESlpaXJ4/FIknbu3Knrr79el1xyicaNG6d169ZZ3rtq1SqNHj1al1xyiSZNmqQ9e/b4l505c0b/%2B7//q8svv1wJCQmaPn26CgoK6nXf7LBw4UL17NnT/zpYe9KzZ0/FxsYqLi7O/2f%2B/PmSgrcnkrRixQoNHTpU/fv3180336zPPvtMUvD15J133rF8b8TFxSk2NtZ/7ARbP76xb98%2BTZkyRYMGDVJSUpJmzZql/Px8ScHbkz179mjKlCkaOHCgLrvsMv3xj3/0L1u/fr2uuuoqDRgwQOPHj9c///lP/7LKykotWbJEI0eOVHx8vKZOnaqjR4/6l3u9XqWlpSkxMVFDhw7VnDlzVFpaav8OGKAGzpw5Y4YMGWIyMzPNmTNnzMmTJ82NN95ofvOb35gvvvjC9O/f37z00kumtLTU7Nixw/Tt29fs3r3bGGPMG2%2B8YQYNGmQ%2B%2BOADU1JSYp566imTlJRkiouLjTHGLFq0yIwfP958/vnnpqCgwNxxxx3mtttuc3J3z9q%2BffvM4MGDTY8ePYwxJqh70qNHD3P06NGA8WDuyerVq82YMWNMbm6uKSoqMvPnzzfz588P6p5824oVK8xdd90VtP0oLy83SUlJZvHixebMmTMmPz/f3HLLLebOO%2B8M2p4UFBSYhIQEk5GRYU6fPm0%2B/vhjM2LECLN%2B/Xqzb98%2BExsba958801TWlpqXnnlFdOvXz9z/PhxY4wxq1atMiNGjDAHDx40RUVF5uGHHzZXXXWVqaysNMYYc8cdd5hf//rX5uTJk%2BbEiRMmJSXFzJ8/3/Z9IGChRrxer3nxxRdNeXm5f%2By5554zP/3pT80zzzxjrr32Wsv8tLQ0M3fuXGOMMb/%2B9a/NwoUL/ct8Pp9JSkoy2dnZpry83AwcONBs2bLFv/zgwYOmZ8%2Be5sSJE3W8V/bw%2BXxm4sSJ5g9/%2BIM/YAVzT6oLWMHck%2BTkZLNx48aA8WDuyTeOHTtmBg8ebI4dOxa0/fj8889Njx49zMGDB/1jf/3rX80VV1wRtD3Ztm2biY2NNRUVFf6x1atXm1/%2B8pfmoYceMqmpqZb5EydONE899ZQxxphx48aZ5557zr%2BsqKjI9O7d27z//vvG4/GYn/zkJ2b//v3%2B5W%2B99Zbp37%2B/KSsrs3UfuESIGomIiNDEiRPlcrkkSYcOHdI//vEPXXnlldq7d6969%2B5tmd%2B7d2//aervLg8NDVWvXr2Uk5OjI0eOqKioSH369PEvv%2Biii9SiRQvt3bu3Hvas9v72t7%2BpefPmuuqqq/xjwd6TxYsXa/jw4Ro0aJDmzp2r4uLioO3JF198oc8%2B%2B0xfffWVxo4d679Mk5%2BfH7Q9%2BbalS5dqwoQJuuCCC4K2HzExMerVq5eysrJUXFyskydPatOmTRo%2BfHjQ9kSSQkJCLK8jIiK0f//%2BanuSk5Oj0tJSHTx40LI8PDxcXbp0UU5Ojvbv36%2BwsDDL7Rx9%2BvTR6dOndejQIVvrJ2DhrBw7dkyxsbEaO3as4uLiNH36dHm9Xrndbsu8tm3b%2Bq/ze71eRUREWJZHRESooKBAXq9XkgLe73a7G8V9Al9%2B%2BaWWLVumefPmWcaDuSf9%2B/dXYmKiNm3apKysLH3wwQd66KGHgrYnJ06ckCRt2LBBzz77rF555RWdOHFCDzzwQND25BufffaZNm3apFtuuUVS8B43oaGhWrZsmd544w1dcsklSkxMVEVFhWbOnBm0PRkwYIBatmyppUuXqqSkREeOHNFf//pXffXVV9%2B7z1999ZWMMd/bk/DwcEt4%2B2au3T0hYOGsdOzYUTk5OdqwYYM%2B/fRT3XvvvTV6nzGmVssbqkWLFmn8%2BPG6%2BOKLz/q9TbUnWVlZmjhxopo1a6aLLrpIs2bNUnZ2tsrLy3/wvU2xJ9/UfOuttyomJkYdOnTQnXfeqa1bt57V%2B891eUP2/PPPa9SoUWrfvn2N39MU%2B1FWVqZp06ZpzJgx2rVrl95%2B%2B221adNGs2bNqtH7m2JPIiIitHz5cu3cuVNJSUm65557dM011ygsLExS7fa5vvpBwMJZCwkJUdeuXTVjxgxlZ2fL5XL5f1L6RkFBgaKioiRJkZGRAcu9Xq%2BioqL8c767/KuvvlK7du3qcC9qb%2BfOnXr//feVmpoasKyqfQ6GnlSlU6dO8vl8Cg0NDcqenH/%2B%2BZKsZxE6duwoY4zKy8uDsiff2Lhxo5KTk/2vg/W42blzpz777DPdfffdatOmjWJiYjR9%2BnRt3rw5aI8bSRo0aJBeeuklvffee8rKylLbtm0VExPzvfvctm3bKnvm9XrVrl07RUVF6dSpU/L5fJZlkmzvCQELNbJz506NHj1alZWV/rHQ0K%2B/ffr27Wv5WLD09cdr%2B/XrJ0mKjY21XO/3%2BXzat2%2Bf%2BvXrp86dOysiIsKy/OOPP1ZZWZliY2Prcpdqbd26dTp58qRGjBihhIQEjR8/XpKUkJCgHj16BGVP9u3bp/T0dMtYbm6umjVrpmHDhgVlTzp06KDw8HDt37/fP3bs2DGdd955QdsTSdq/f7%2BOHTumpKQk/1hcXFxQ9sPn86mystJyZqWsrEySlJiYGJQ9OXPmjP7xj3/o1KlT/rEdO3ZowIABio2NDehJTk6O%2BvXrp%2BbNm6t79%2B6WfS4sLNSRI0fUt29f9erVS8YYHThwwPJet9utbt262bsTtt4yjyarsLDQJCYmmvT0dHP69Glz8uRJM3XqVDN58mTz5ZdfmgEDBpgXX3zRlJaWmjfffNP07dvX/ymNt956ywwcONC8//775vTp02bZsmVm2LBhpqSkxBhjzGOPPWauu%2B468/nnn5v8/Hxz2223mTvvvNPJ3a0Rr9drjh8/7v/z/vvvmx49epjjx4%2BbY8eOBWVPTpw4Yfr372%2Beeuopc%2BbMGXPo0CEzduxYM3/%2B/KD9PjHGmIULF5qRI0eaTz/91Hz55ZcmJSXF3HfffUHdkzVr1pjBgwdbxoK1H/n5%2BWbw4MHm8ccfN6dPnzb5%2Bflm2rRp5n/%2B53%2BCtic%2Bn88kJyebRx991JSXl5vt27ebfv36mT179piPPvrIxMXFmW3btpnS0lLz0ksvmQEDBpi8vDxjzNefwBw%2BfLj/MQ1z5841EyZM8K87LS3N3HrrrebkyZPm%2BPHjZsKECSY9Pd32fSBgocYOHDhgbrzxRtO3b19z6aWXmrS0NP9Hff/zn/%2BYq6%2B%2B2vTp08eMGjUq4CPpzz//vBk2bJiJjY01kyZNMh999JF/2ZkzZ8yDDz5o4uPjzYABA8zdd99tCgsL63Xf7HD06FH/YxqMCd6e/Oc//zEpKSmmf//%2BZvDgwWbRokWmtLTUvywYe/Lt2vv3729mz55tTp06ZYwJ3p48%2BeSTZty4cQHjwdqPnJwcc%2BONN5pBgwaZxMRE/n41xuzevdtcd911pm/fvmbUqFFm06ZN/mUbN240o0aNMn369DHXXHON%2Bc9//uNfVllZaZYuXWqGDBli%2Bvbta371q1/5n5FlzNcnDGbMmGH69%2B9v4uPjzUMPPWTOnDlje/0hxjTCu98AAAAaMO7BAgAAsBkBCwAAwGYELAAAAJsRsAAAAGxGwAIAALAZAQsAAMBmBCwAAACbEbAAAABsRsACAACwGQELAADAZgQsAAAAmxGwAAAAbEbAAgAAsNn/AzK47n6wRcUEAAAAAElFTkSuQmCC\"/>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common1360337474142344555\">\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">3959.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">3283.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">7426.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">3521.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">6340.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">2480.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">3174.9</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">2701.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">5949.9</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">2542.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"other\">\n", | |
| " <td class=\"fillremaining\">Other values (91)</td>\n", | |
| " <td class=\"number\">91</td>\n", | |
| " <td class=\"number\">90.1%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"extreme1360337474142344555\">\n", | |
| " <p class=\"h4\">Minimum 5 values</p>\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">2394.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">2444.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">2480.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">2542.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">2663.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " <p class=\"h4\">Maximum 5 values</p>\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">8024.2</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">8282.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">8284.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">8557.0</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">8749.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| "</div><div class=\"row variablerow\">\n", | |
| " <div class=\"col-md-3 namecol\">\n", | |
| " <p class=\"h4 pp-anchor\" id=\"pp_var_Private Non-Resi.Investment\">Private Non-Resi.Investment<br/>\n", | |
| " <small>Numeric</small>\n", | |
| " </p>\n", | |
| " </div><div class=\"col-md-6\">\n", | |
| " <div class=\"row\">\n", | |
| " <div class=\"col-sm-6\">\n", | |
| " <table class=\"stats \">\n", | |
| " <tr>\n", | |
| " <th>Distinct count</th>\n", | |
| " <td>101</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Unique (%)</th>\n", | |
| " <td>100.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Infinite (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Infinite (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| "\n", | |
| " </div>\n", | |
| " <div class=\"col-sm-6\">\n", | |
| " <table class=\"stats \">\n", | |
| "\n", | |
| " <tr>\n", | |
| " <th>Mean</th>\n", | |
| " <td>19845</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Minimum</th>\n", | |
| " <td>15150</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Maximum</th>\n", | |
| " <td>25364</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Zeros (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| "<div class=\"col-md-3 collapse in\" id=\"minihistogram-4200294314018415972\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAATBJREFUeJzt3NFtgzAUQNEkykgdojv1OztliOzkLlBdFSSC657zjYR/rh6ygesYY1yAH93OXgDM7H72Av6Sj6/nputfj8/D77H3PvyOCQJBIBAEAkEgEAQCQSAQBAJBIBAEAsFJ%2BoH2nIozFxMEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgrd5F/CO/3X9VyYIhCUmiO8uOIoJAkEgEAQCQSAQBAJBIBCW2OZlm3dti69wIGmCQBAIBIFAEAgEgUAQCITptnm9mctMTBAI000Q1rHnaWC2w0UTBIJAIAgEgkAgXMcY4%2BxFwKxMEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAjfs8Ab0HgmHX4AAAAASUVORK5CYII%3D\">\n", | |
| "\n", | |
| "</div>\n", | |
| "<div class=\"col-md-12 text-right\">\n", | |
| " <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-4200294314018415972,#minihistogram-4200294314018415972\"\n", | |
| " aria-expanded=\"false\" aria-controls=\"collapseExample\">\n", | |
| " Toggle details\n", | |
| " </a>\n", | |
| "</div>\n", | |
| "<div class=\"row collapse col-md-12\" id=\"descriptives-4200294314018415972\">\n", | |
| " <ul class=\"nav nav-tabs\" role=\"tablist\">\n", | |
| " <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-4200294314018415972\"\n", | |
| " aria-controls=\"quantiles-4200294314018415972\" role=\"tab\"\n", | |
| " data-toggle=\"tab\">Statistics</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#histogram-4200294314018415972\" aria-controls=\"histogram-4200294314018415972\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#common-4200294314018415972\" aria-controls=\"common-4200294314018415972\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#extreme-4200294314018415972\" aria-controls=\"extreme-4200294314018415972\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n", | |
| "\n", | |
| " </ul>\n", | |
| "\n", | |
| " <div class=\"tab-content\">\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-4200294314018415972\">\n", | |
| " <div class=\"col-md-4 col-md-offset-1\">\n", | |
| " <p class=\"h4\">Quantile statistics</p>\n", | |
| " <table class=\"stats indent\">\n", | |
| " <tr>\n", | |
| " <th>Minimum</th>\n", | |
| " <td>15150</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>5-th percentile</th>\n", | |
| " <td>16377</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Q1</th>\n", | |
| " <td>18545</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Median</th>\n", | |
| " <td>20009</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Q3</th>\n", | |
| " <td>21136</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>95-th percentile</th>\n", | |
| " <td>23401</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Maximum</th>\n", | |
| " <td>25364</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Range</th>\n", | |
| " <td>10215</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Interquartile range</th>\n", | |
| " <td>2591.5</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " <div class=\"col-md-4 col-md-offset-2\">\n", | |
| " <p class=\"h4\">Descriptive statistics</p>\n", | |
| " <table class=\"stats indent\">\n", | |
| " <tr>\n", | |
| " <th>Standard deviation</th>\n", | |
| " <td>2130.3</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Coef of variation</th>\n", | |
| " <td>0.10735</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Kurtosis</th>\n", | |
| " <td>-0.17172</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Mean</th>\n", | |
| " <td>19845</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>MAD</th>\n", | |
| " <td>1697.2</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"\">\n", | |
| " <th>Skewness</th>\n", | |
| " <td>0.12861</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Sum</th>\n", | |
| " <td>2004400</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Variance</th>\n", | |
| " <td>4538400</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Memory size</th>\n", | |
| " <td>888.0 B</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-4200294314018415972\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzt3Xl0FGW%2BxvEnSbOHhAQJjoCAgggk7DESkNUBBEU2J%2BBxEJUrYJBFmAFFBhEU0DCIhAGRq4IwTEZERWQXENRxAUXCqkQUBoG0kiYLgWzv/cNDX9oECKSSsru/n3NyYt56u%2BpXP6ubJ1XVnQBjjBEAAAAsE2h3AQAAAL6GgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFHHYX4C%2Bczgy7Syh1gYEBCg%2BvotOns1RQYOwux2fQV%2BvRU%2BvR09JBX0uuRo2qtmyXM1iwTGBggAICAhQYGGB3KT6FvlqPnlqPnpYO%2Buq9CFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABbzmYB1/PhxxcfHKyYmRrGxsZo4caLS09MlSQcOHNADDzyg1q1bq1u3bnrttdcuuZ6CggLNmTNHXbt2VXR0tB555BEdO3asrHYDAAD4AJ8JWMOHD1dISIi2bNmiVatW6bvvvtOsWbN07tw5DRs2TLfffrt27NihOXPm6JVXXtHGjRuLXM/y5cv1/vvva9GiRdq6davq1aun%2BPh4GcPfgAIAAMXjEwErPT1dkZGRGjdunKpUqaLrr79effv21c6dO7Vt2zbl5uZqxIgRqly5spo2bar77rtPSUlJRa4rKSlJQ4YM0c0336zg4GCNHTtWKSkp%2Buabb8p4rwAAgLdy2F2AFUJCQjRjxgyPsRMnTigiIkL79u1To0aNFBQU5F7WpEkTvfXWW4XWc%2B7cOR0%2BfFhNmjRxjwUHB6tu3bpKTk5WixYtilVPamqqnE6nx5jDUVkRERFXs1teJygo0OM7rEFfrUdPrUdPSwd99V4%2BEbB%2BKzk5WcuWLdOCBQu0bt06hYSEeCyvVq2aXC6XCgoKFBj4/wftmTNnZIxRaGiox/zQ0FClpaUVe/tJSUlKTEz0GIuPj9eoUaOuYW%2B8T0hIJbtL8ElX6mubSevLqJKS2/lcD7tLkFT8Y9WbeivZ21%2Be/6WDvnofnwtYu3bt0ogRIzRu3DjFxsZq3bp1Rc4LCAi45DpKer9VXFycunTp4jHmcFRWWlpWidb7excUFKiQkEpKT89Wfn6B3eX4DF/sq93PBV/s6cXs6K%2Bv99Qu9LXkwsKq2LJdnwpYW7Zs0V/%2B8hdNnjxZffr0kSSFh4frhx9%2B8JjncrlUrVo1j7NXktxjLper0Pzq1asXu46IiIhClwOdzgzl5fnHkyM/v8Bv9rUs%2BVJffy/74Us9vZid%2B%2BSrPbUbffU%2BPnNR96uvvtKECRM0d%2B5cd7iSpMjISB06dEh5eXnuseTkZDVv3rzQOipUqKCGDRtq37597rH09HQdPXpUzZo1K90dAAAAPsMnAlZeXp6efvppjR8/Xu3bt/dY1rFjRwUHB2vBggXKzs7WN998o5UrV2rQoEGSpFOnTqlHjx7uz7oaNGiQli5dqpSUFGVmZiohIUGNGzdWVFRUme8XAADwTj5xiXD37t1KSUnR9OnTNX36dI9l69ev18KFCzVlyhQtWrRI1113ncaOHatOnTpJknJzc3XkyBHl5ORIkgYOHCin06k///nPysrKUkxMTKEb1gEAAC7HJwJWmzZtdOjQocvOWbFiRZHjtWvX9nhsQECARo0a5Tfv%2BAMAANbziUuEAAAAvycELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACzmsLsAK%2B3YsUMTJkxQTEyM5syZ4x5/%2Bumn9d5773nMzc/P17333qsZM2YUWk%2BXLl2UmpqqgIAA91i7du20cOHC0iseAAD4DJ8JWK%2B%2B%2BqpWrlypunXrFlo2ffp0TZ8%2B3f1zXl6e%2BvTpox49elxyff/7v/%2BrmJiYUqkVAAD4Np%2B5RFihQoVLBqzfWrJkiW644QZ17NixDCoDAAD%2BxmfOYA0ePLhY89LT07Vw4UL985//vOy8pUuXatKkSfrll190xx13aMqUKapevXqxtpGamiqn0%2Bkx5nBUVkRERLEe762CggI9vsMavthXh8PeffHFnl7Mjv76ek/tQl%2B9l88ErOJatmyZoqOj1bBhw0vOady4sZo1a6YXXnhB6enpmjBhgkaPHq1ly5YVaxtJSUlKTEz0GIuPj9eoUaNKVLu3CAmpZHcJPsmX%2BhoWVsXuEiT5Vk8vZmd/fbWndqOv3sevAlZ%2Bfr6WL1%2Bu2bNnX3be/Pnz3f9dpUoVTZkyRT179tTRo0d14403XnE7cXFx6tKli8eYw1FZaWlZ11a4lwgKClRISCWlp2crP7/A7nJ8hi/21e7ngi/29GJ29NfXe2oX%2Blpydv3C4VcB68svv1ROTo7atGlzVY%2BrVauWpF8v/RUnYEVERBS6HOh0Zigvzz%2BeHPn5BX6zr2XJl/r6e9kPX%2BrpxezcJ1/tqd3oq/fxq4u6H374oW6//XY5HJfOlcePH9eUKVOUk5PjHktJSZEk1alTp9RrBAAA3s%2BvAtaBAwdUu3btQuObNm3S/fffL0mqXr26tmzZopkzZ%2Brs2bM6deqUZsyYoc6dO6tmzZplXTIAAPBCPnOJMCoqStKvn3ElSZs3b5YkJScnu%2Bc4nU5dd911hR6bkZGhH3/8UZJUsWJFLV68WDNnzlSHDh0kSX/84x/15JNPlmr9AADAd/hMwLo4SF3Khg0bihzv16%2Bf%2BvXr5/65UaNGev311y2rDQAA%2BBe/ukQIAABQFghYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDGH3QUA8D93vfSJ3SUAQKniDBYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABbzqYC1Y8cOxcbGauzYsR7jq1at0q233qqoqCiPrz179hS5HpfLpTFjxig2Nlbt27fXpEmTdO7cubLYBQAA4AN85m8Rvvrqq1q5cqXq1q1b5PLo6Gi9%2BeabxVrX5MmTlZOTozVr1ig3N1ejR49WQkKCnn76aStLBgAAPspnzmBVqFDhsgGruH7%2B%2BWdt3rxZY8eOVXh4uGrWrKnHHntMb7/9tnJzcy2qFgAA%2BDKfOYM1ePDgyy4/ceKEHnroIe3du1chISEaNWqU7r333kLzDhw4oKCgIDVq1Mg91rRpU509e1bff/%2B9x/ilpKamyul0eow5HJUVERFRzL3xTkFBgR7fYQ36iqvlcJT9scJxWjroq/fymYB1OeHh4apXr56eeOIJNWjQQJs2bdJf//pXRUREqG3bth5zXS6XgoODFRAQ4B4LDQ2VJKWlpRVre0lJSUpMTPQYi4%2BP16hRo0q4J94hJKSS3SX4JPqK4goLq2LbtjlOSwd99T5%2BEbA6deqkTp06uX/u1auXNm3apFWrVhUKWJJkjCnR9uLi4tSlSxePMYejstLSskq03t%2B7oKBAhYRUUnp6tvLzC%2Bwux2fQV1wtO15rOE5LB30tObt%2B4fCLgFWUWrVqae/evYXGw8PDlZmZqfz8fAUFBUn69ayWJFWvXr1Y646IiCh0OdDpzFBenn88OfLzC/xmX8sSfUVx2XmccJyWDvrqffziou6KFSu0du1aj7GUlBTVqVOn0NzGjRvLGKODBw%2B6x5KTkxUSEqL69euXeq0AAMD7%2BUXAysnJ0bRp05ScnKzc3FytWbNG27dv18CBAyVJmzZt0v333y/p1zNY3bt310svvaTTp0/r5MmTmj9/vgYMGCCHw29P%2BAEAgKvgM4khKipKkpSXlydJ2rx5s6Rfzz4NHjxYWVlZGj16tJxOp2rXrq358%2BcrMjJSkpSRkaEff/zRva5nn31WU6ZMUdeuXVWuXDndfffdhT68FAAA4FICTEnv6EaxOJ0ZdpdQ6hyOQIWFVVFaWhb3CliouH2966VPyrAq/J6tG9OuzLfJ87900NeSq1Gjqi3b9YtLhAAAAGWJgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFfCZg7dixQ7GxsRo7dmyhZRs3blTv3r3VsmVLde/eXf/%2B978vuZ4///nPatq0qaKiotxfvXv3Ls3SAQCAj3HYXYAVXn31Va1cuVJ169YttGzPnj0aP368/v73v6tTp0765JNPFB8fr5tuuklt2rQpcn3Tpk1Tv379SrtsAADgo2w/g9WlSxclJibqxIkT17yOChUqXDJguVwuDRs2THfeeaccDoc6duyoW265RTt37ixJ2QAAAJdke8Dq37%2B/1q5dqzvvvFNDhw7Vxo0blZeXd1XrGDx4sKpWrVrksg4dOig%2BPt79c15enpxOp2rWrHnJ9a1du1Y9e/ZUy5YtNWTIEB09evSq6gEAAP7N9kuE8fHxio%2BP1759%2B7RmzRo9//zzmjp1qvr06aMBAwaofv36lm4vISFBlStXVs%2BePYtcfvPNN6tSpUpKSEhQQUGBpk%2BfrqFDh2rNmjUqX758sbaRmpoqp9PpMeZwVFZERESJ6/89CwoK9PgOa9BXXC2Ho%2ByPFY7T0kFfvVeAMcbYXcTFjDFau3atnnnmGWVmZio2NlajR49Ws2bNrvjYiRMn6vz585ozZ06R601ISNB7772npUuX6qabbipWPZmZmYqJidHixYvVtm3bYj1m3rx5SkxM9BiLj4/XqFGjivV44Fq0mbTe7hLwO7HzuR52lwD4PdvPYF2Qm5urTZs2adWqVfrss89Ur149Pf7440pNTdWQIUM0depU3XPPPde07oKCAj355JPas2ePVqxYoTp16hT7scHBwQoNDdWpU6eK/Zi4uDh16dLFY8zhqKy0tKxir8MbBQUFKiSkktLTs5WfX2B3OT6DvuJq2fFaw3FaOuhryYWFVbFlu7YHrJSUFK1cuVLvvvuusrKy1L17dy1ZskStW7d2z4mOjtYzzzxzzQHr%2Beef13fffacVK1aoWrVql5yXmZmphIQEjRgxwn2P1unTp3X69OmrCmURERGFLgc6nRnKy/OPJ0d%2BfoHf7GtZoq8oLjuPE47T0kFfvY/tF3V79eqlbdu2adiwYdq%2BfbtefPFFj3AlSR07dtTp06evaf27du3S6tWrtWjRoiLD1Z49e9SjRw/l5OQoODhY33zzjaZPny6Xy6UzZ85o6tSpatSokVq2bHlN2wcAAP7H9jNYS5cu1W233XbFed98880ll0VFRUmS%2B92HmzdvliQlJyfr7bffVkZGhjp37uzxmOjoaL322mvKzs7WkSNHdOFWtPnz5%2Bv5559X9%2B7dlZOTo7Zt22rRokUKDLQ9iwIAAC9h%2B03uZ86c0YQJEzRgwADdeeedkqQ33nhDn3zyiV588cXLXtLzJk5nht0llDqHI1BhYVWUlpbFqWwLFbevd730SRlWhd%2BzdWPalfk2ef6XDvpacjVqFP0xTqXN9tMyM2bMUEZGhho0aOAe69SpkwoKCjRz5kwbKwMAALg2tl8i/Pjjj/X%2B%2B%2B8rLCzMPVavXj0lJCTo7rvvtrEyAACAa2P7Gaxz586pQoUKhcYDAwOVnZ1tQ0UAAAAlY3vAio6O1syZM3XmzBn32KlTpzR16tRC7yYEAADwBrZfInzqqaf08MMPq23btgoODlZBQYGysrJUp04dvfnmm3aXBwAAcNVsD1h16tTRBx98oO3bt%2Bvo0aMKDAxU/fr11b59ewUFBdldHgAAwFWzPWBJUvny5d0f0QAAAODtbA9Yx44d0%2BzZs/Xdd9/p3LlzhZZ/%2BOGHNlQFAABw7WwPWE899ZRSU1PVvn17Va5c2e5yAAAASsz2gLV37159%2BOGHCg8Pt7sUAAAAS9j%2BMQ3Vq1fnzBUAAPAptgesYcOGKTExUTb/SUQAAADL2H6JcPv27frqq6%2B0atUq1a5dW4GBnpnvX//6l02VAQAAXBvbA1ZwcLA6dOhgdxkAAACWsT1gzZgxw%2B4SAAAALGX7PViS9P3332vevHl68skn3WNff/21jRUBAABcO9sD1n/%2B8x/17t1bGzdu1Jo1ayT9%2BuGjgwcP5kNGAQCAV7I9YM2ZM0d/%2Bctf9P777ysgIEDSr3%2BfcObMmZo/f77N1QEAAFw92wPWt99%2Bq0GDBkmSO2BJUo8ePZSSkmJXWQAAANfM9oBVtWrVIv8GYWpqqsqXL29DRQAAACVje8Bq1aqVnn/%2BeWVmZrrHjhw5ogkTJqht27Y2VgYAAHBtbP%2BYhieffFIPPvigYmJilJ%2Bfr1atWik7O1sNGzbUzJkz7S4PAADgqtkesK6//nqtWbNGH330kY4cOaKKFSuqfv36ateuncc9WQAAAN7C9oAlSeXKldOdd95pdxkAAACWsD1gdenS5bJnqvgsLAAA4G1sD1g9e/b0CFj5%2Bfk6cuSIkpOT9eCDD9pYGQAAwLWxPWCNHz%2B%2ByPENGzbo888/L%2BNqAAAASs72j2m4lDvvvFMffPDBVT1mx44dio2N1dixYwstW7t2re655x61bNlS/fr108cff3zJ9bhcLo0ZM0axsbFq3769Jk2aVORndQEAABTldxuw9u/fL2NMsee/%2Buqrmj59uurWrVto2YEDBzRhwgSNHz9en332mYYMGaKRI0fq5MmTRa5r8uTJys7O1po1a/T2228rJSVFCQkJ17wvAADAv9h%2BiXDgwIGFxrKzs5WSkqJu3boVez0VKlTQypUr9dxzz%2Bn8%2BfMey9566y117NhRHTt2lCT17t1by5Yt0%2BrVq/Xoo496zP3555%2B1efNmvfPOOwoPD5ckPfbYYxo9erQmTJigcuXKXe0uAgAAP2N7wKpXr16hdxFWqFBBAwYM0H333Vfs9QwePPiSy/bt2%2BcOVxc0adJEycnJheYeOHBAQUFBatSokXusadOmOnv2rL7//nuPcQAAgKLYHrDK4tPaXS6XQkNDPcZCQ0N1%2BPDhIucGBwd7hL4Lj01LSyvW9lJTU%2BV0Oj3GHI7KioiIuNrSvUpQUKDHd1iDvuJqORxlf6xwnJYO%2Buq9bA9Y7777brHn9unT55q3czX3c13N3KIkJSUpMTHRYyw%2BPl6jRo0q0Xq9RUhIJbtL8En0FcX1x4QddpdQbDuf62F3CV6B57/3sT1gTZo0SQUFBYVCTUBAgMdYQEDANQessLAwuVwujzGXy%2BW%2Bx%2Bpi4eHhyszMVH5%2BvoKCgtxzJal69erF2l5cXJy6dOniMeZwVFZaWta1lO81goICFRJSSenp2crPL7C7HJ9BX%2BHLfP11saR4/pdcWFgVW7Zre8BavHixXnvtNQ0fPlyNGjWSMUaHDh3Sq6%2B%2BqgceeEAxMTEl3kZkZKT27t3rMZacnKxevXoVmtu4cWMZY3Tw4EE1bdrUPTckJET169cv1vYiIiIKXQ50OjOUl%2BcfT478/AK/2deyRF/hizimi4fnv/ex/aLuzJkzNX36dLVu3VrBwcGqWrWq2rRpo2effVazZs1S%2BfLl3V/X6k9/%2BpM%2B/fRTbdu2TefPn9fKlSv1ww8/qHfv3pKkTZs26f7775f06xms7t2766WXXtLp06d18uRJzZ8/XwMGDJDDYXseBQAAXsD2xPDDDz8UugFdkkJCQnT8%2BPFirycqKkqSlJeXJ0navHmzpF/PPt1yyy1KSEjQjBkzdPz4cTVo0ECvvPKKatSoIUnKyMjQjz/%2B6F7Xs88%2BqylTpqhr164qV66c7r777iI/vBQAAKAoAaakd3SXUM%2BePXXbbbdp9OjRCgsLkySlp6fr5Zdf1pdffqn33nvPzvIs43Rm2F1CqXM4AhUWVkVpaVmcyrZQcft610uflGFVgDXWjWlndwm/a7yullyNGlVt2a7tZ7CeeuopjRs3TklJSapSpYoCAwOVmZmpihUrav78%2BXaXBwAAcNVsD1jt27fXtm3b9NFHH%2BnkyZMyxqhmzZq64447VLWqPakTAACgJGwPWJJUqVIlde3aVSdPnlSdOnXsLgcAAKBEbH8X4blz5zRhwgS1bNlSd911l6Rf78EaOnSo0tPTba4OAADg6tkesF588UUdOHBACQkJCgz8/3Ly8/OVkJBgY2UAAADXxvaAtWHDBr388svq0aOH%2B%2B//hYSEaMaMGdq4caPN1QEAAFw92wNWVlaW6tWrV2g8PDxcZ8%2BeLfuCAAAASsj2gHXjjTfq888/l%2BT5R5bXr1%2BvG264wa6yAAAArpnt7yK8//779fjjj6t///4qKCjQ66%2B/rr1792rDhg2aNGmS3eUBAABcNdsDVlxcnBwOh5YtW6agoCAtXLhQ9evXV0JCgnr06GF3ebAQnzQOAPAXtges06dPq3///urfv7/dpQAAAFjC9nuwunbtKpv/HCIAAIClbA9YMTExWrdund1lAAAAWMb2S4R/%2BMMf9Nxzz2nRokW68cYbVa5cOY/ls2fPtqkyAACAa2N7wDp8%2BLBuuukmSVJaWprN1QAAAJScbQFr7NixmjNnjt5880332Pz58xUfH29XSQAAAJaw7R6sLVu2FBpbtGiRDZUAAABYy7aAVdQ7B3k3IQAA8AW2BawLf9j5SmMAAADexvaPaQAAAPA1BCwAAACL2fYuwtzcXI0bN%2B6KY3wOFgAA8Da2BazWrVsrNTX1imMAAADexraAdfHnXwEAAPgS7sECAACwGAELAADAYgQsAAAAi9n%2Bx57LwpdffqmHH37YY8wYo9zcXB06dMhjfN68efrHP/4hh8OzNVu3btV1111X6rUCAADv5xcBKzo6WsnJyR5jCxcu1MGDB4ucf%2B%2B992rmzJllURoAAPBBfhGwfuunn37S66%2B/rnfeecfuUgAAgA/yy3uw5s6dq/79%2B%2BuGG24ocvmhQ4c0cOBAtWrVSr169dLHH39cxhUCAABv5ndnsP773/9q48aN2rhxY5HLr7/%2BetWpU0fjxo1TRESEkpKSNHz4cK1evVo33XRTsbaRmpoqp9PpMeZwVFZERESJ6/89CwoK9PgOAFficPB6cTm8rnqvAGOMsbuIsjRr1iydPn1as2bNKvZj7rvvPrVr105jxowp1vx58%2BYpMTHRYyw%2BPl6jRo26qlp9TZtJ6%2B0uAcDvzM7nethdAlAq/O4M1oYNGzRhwoSrekytWrWu6k/4xMXFqUuXLh5jDkdlpaVlXdV2vU1QUKBCQiopPT1b%2BfkFdpcDwAv4%2ButiSfG6WnJhYVVs2a5fBawDBw7o%2BPHjateu3SXn/OMf/1DLli3Vtm1b91hKSop69uxZ7O1EREQUuhzodGYoL88/nhz5%2BQV%2Bs68ASobXiuLhddX7%2BNVF3f3796tatWoKDg72GO/Ro4d27twpSXK5XJo6daq%2B//57nT9/Xq%2B99pqOHj2qvn372lEyAADwQn51Buvnn39WjRo1Co0fOXJEZ8%2BelSSNGzdOkjRkyBC5XC41aNBAb7zxhq6//voyrRUAAHgvv7vJ3S5OZ4bdJZQ6hyNQYWFVlJaWVeSp7Lte%2BsSGqgD8nq0bc%2BlbNnDl11VcWY0aVW3Zrl9dIgQAACgLBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYg67CwAA%2BK%2B7XvrE7hJ82rox7ewuwW9xBgsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGJ%2B80nujRo1Urly5RQQEOAe%2B9Of/qTJkycXmrt06VItX75cTqdTjRo10qRJkxQZGVmW5QIAAC/mNwFLktavX6/atWtfds6WLVs0b948LV68WI0aNdLSpUs1fPhwbdy4UZUrVy6jSgEAgDfjEuFvJCUlqV%2B/fmrevLkqVqyooUOHSpK2bt1qc2UAAMBb%2BFXAmj17tjp16qQ2bdpo8uTJysrKKjRn3759atKkifvnwMBANW7cWMnJyWVZKgAA8GJ%2Bc4mwRYsWio2N1axZs3Ts2DGNGTNGU6dO1QsvvOAxz%2BVyKTQ01GMsNDRUaWlpxd5WamqqnE6nx5jDUVkRERHXvgNeICgo0OM7AMBeDgevx3bxm4CVlJTk/u%2Bbb75Z48eP14gRIzR9%2BnSVL1/eY64xpsTbSkxM9BiLj4/XqFGjSrRebxESUsnuEgAAksLCqthdgt/ym4D1W7Vr11Z%2Bfr5%2B%2BeUX/eEPf3CPh4WFyeVyecx1uVxq2LBhsdcdFxenLl26eIw5HJWVllb4kqQvCQoKVEhIJaWnZys/v8DucgDA7/n6vzvFYVfI9IuAtX%2B0d/v1AAASXElEQVT/fq1evVoTJ050j6WkpKh8%2BfKFLttFRkZq37596tu3ryQpPz9f%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%2B/Lji4%2BMVExOj2NhYTZw4Uenp6YXmrVq1SrfeequioqI8vvbs2WND1QAAwBv5TcAaPny4QkJCtGXLFq1atUrfffedZs2aVeTc6OhoJScne3w1a9asjCsGAADeyi8CVnp6uiIjIzVu3DhVqVJF119/vfr27audO3faXRoAAPBBfhGwQkJCNGPGDF133XXusRMnTigiIqLI%2BSdOnNBDDz2k6Ohode3aVe%2B9915ZlQoAAHyAX35MQ3JyspYtW6YFCxYUWhYeHq569erpiSeeUIMGDbRp0yb99a9/VUREhNq2bVus9aempsrpdHqMORyVLxnoAAAoDQ6HX5xH%2BV3yu4C1a9cujRgxQuPGjVNsbGyh5Z06dVKnTp3cP/fq1UubNm3SqlWrih2wkpKSlJiY6DEWHx%2BvUaNGlah2AACuRlhYFbtL8Ft%2BFbC2bNmiv/zlL5o8ebL69OlT7MfVqlVLe/fuLfb8uLg4denSxWPM4aistLSsYq8DAICS4t8d%2B0Km3wSsr776ShMmTNDcuXPVvn37S85bsWKFQkND1bNnT/dYSkqK6tSpU%2BxtRUREFLoc6HRmKC%2Bv4OoLBwDgGvHvjn384uJsXl6enn76aY0fP77IcPXggw9q7dq1kqScnBxNmzZNycnJys3N1Zo1a7R9%2B3YNHDiwrMsGAABeyi/OYO3evVspKSmaPn26pk%2Bf7rFs/fr1OnbsmM6cOSNJGjx4sLKysjR69Gg5nU7Vrl1b8%2BfPV2RkpB2lAwAALxRgjDF2F%2BEPnM6MUlkvf%2BwZAHAp68a0s7sE29WoUdWW7frFJUIAAICyRMACAACwmF/cgwUAgD/ypttIfO1yJmewAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALEbAAgAAsBgBCwAAwGIELAAAAIsRsAAAACxGwAIAALAYAQsAAMBiBCwAAACLEbAAAAAsRsACAACwGAELAADAYgQsAAAAixGwAAAALOY3Aev48eN69NFHFRMTo86dO%2BvFF19UQUFBkXOXLl2q7t27q1WrVho0aJD27t1bxtUCAABv5jcB6/HHH1fNmjW1efNmvf7669q8ebOWLFlSaN6WLVs0b948vfDCC/r000/VuXNnDR8%2BXGfPnrWhagAA4I38ImAlJyfr4MGDGj9%2BvKpWrap69eppyJAhSkpKKjQ3KSlJ/fr1U/PmzVWxYkUNHTpUkrR169ayLhsAAHgph90FlIV9%2B/apVq1aCg0NdY81bdpUR44cUWZmpoKDgz3m9uzZ0/1zYGCgGjdurOTkZPXq1atY20tNTZXT6fQYczgqKyIiooR7AgCAb3I4fOucj18ELJfLpZCQEI%2BxC2ErLS3NI2C5XC6PIHZhblpaWrG3l5SUpMTERI%2BxkSNH6vHHH7/a0q9o53M9LF/ntUpNTVVSUpLi4uIIkxair9ajp9ajp6WDvnov34qLl2GMKZW5RYmLi9OqVas8vuLi4kq0Tm/gdDqVmJhY6OwdSoa%2BWo%2BeWo%2Belg766r384gxWeHi4XC6Xx5jL5VJAQIDCw8M9xsPCwoqc27Bhw2JvLyIigt80AADwY35xBisyMlInTpzQ6dOn3WPJyclq0KCBqlSpUmjuvn373D/n5%2Bdr//79at68eZnVCwAAvJtfBKwmTZooKipKs2fPVmZmplJSUvT6669r0KBBkqQePXpo586dkqRBgwbp3Xff1e7du5Wdna0FCxaofPny6tSpk417AAAAvEnQM88884zdRZSFO%2B64Q2vWrNG0adP0wQcfaMCAAXrkkUcUEBCgadOm6a677lLdunVVt25dBQcH67nnntPLL7%2BsnJwczZ49WzVr1rR7F7xClSpVdNtttxU6M4iSoa/Wo6fWo6elg756pwBT0ju6AQAA4MEvLhECAACUJQIWAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhbcduzYodjYWI0dO7bQslOnTmnEiBFq0aKFYmNjNXv2bBUUFEiSCgoKNGfOHHXt2lXR0dF65JFHdOzYMfdjXS6XxowZo9jYWLVv316TJk3SuXPn3MsPHDigBx54QK1bt1a3bt302muvlf7OlpHL9XT58uXq3r27WrZsqe7du%2BvNN990L6Onl3b8%2BHHFx8crJiZGsbGxmjhxotLT0yVdeb/Xrl2re%2B65Ry1btlS/fv308ccfu5eVtOfe7nJ9PXjwoIYMGaI2bdqoQ4cOeu6555STk%2BN%2B7H/%2B8x8NGDBArVq1Uq9evbR69WqPdS9dulTdu3dXq1atNGjQIO3du9e97Pz58/rb3/6mDh06KCYmRqNGjVJaWlrZ7HQpu1xPLxYfH68uXbp4jHGs%2BgADGGMWLVpkunXrZgYOHGjGjBnjsaygoMAMGDDATJs2zWRkZJjDhw%2Bb/v37m08//dQYY8zSpUtN586dzeHDh01GRoZ59tlnzT333GMKCgqMMcaMHDnSPProo%2BaXX34xJ0%2BeNHFxcWbatGnGGGOys7PNHXfcYebNm2eysrLM3r17zW233WY2bNhQtg0oBZfr6bZt20zz5s3N7t27TX5%2Bvtm9e7dp3ry52bp1qzGGnl7O3XffbSZOnGgyMzPNiRMnTL9%2B/cxTTz11xf3ev3%2B/iYyMNNu2bTPnzp0z7733nmnevLk5ceKEMaZkPfcFl%2BprZmamadeunfn73/9uzp8/bw4fPmw6d%2B5s5s%2Bfb4wx5tSpU6ZFixbmrbfeMufOnTOffPKJadasmdmzZ48xxpgPP/zQtGnTxuzevdtkZ2ebV155xbRr185kZWUZY4yZMWOG6devn/npp59MWlqaGTlypBk2bJhtfbDSpXp6sS1btpjWrVubzp07u8c4Vn0DAQvGGGOWLFli0tPTzYQJEwqFgc8//9zExMSY8%2BfPF/nYXr16mSVLlrh/zsjIME2aNDFff/21cTqd5tZbbzUHDhxwL//oo49MixYtTE5Ojlm3bp25/fbbTV5ennv5iy%2B%2BaB5%2B%2BGGL97DsXa6niYmJZsCAAR5j9913n/sfLXpatDNnzpiJEycap9PpHnvzzTdNt27drrjfU6dONfHx8R7ru%2B%2B%2B%2B8wrr7xijClZz73d5fr6448/mokTJ5rc3Fz3spkzZ5qHHnrIGGPM4sWLTZ8%2BfTzWN2bMGDN58mRjjDGPPvqoef75593L8vPzTbt27cyaNWtMbm6uad26tdm8ebN7%2BeHDh02jRo3MyZMnS2Vfy8rlenrB2bNn3WH14oDFseobuEQISdLgwYNVtWrVIpft2rVLt9xyi%2BbMmaOYmBh17drVfenl3LlzOnz4sJo0aeKeHxwcrLp16yo5OVkHDhxQUFCQGjVq5F7etGlTnT17Vt9//7327dunRo0aKSgoyL28SZMmHpcQvNXlenrHHXfo8OHD%2Bvzzz5WTk6Ovv/5aKSkpat%2B%2BPT29jJCQEM2YMUPXXXede%2BzEiROKiIi44n7v27fPo6cXlicnJ5e4597ucn298cYbNWPGDDkcDo9lNWvWlHTpvl6q74GBgWrcuLGSk5N19OhRZWRkqGnTpu7lN998sypWrKh9%2B/aVyr6Wlcv19ILExERFR0erdevWHo/lWPUNjitPgb87efKkdu/erQ4dOmjbtm364osvNHLkSN14442KioqSMUahoaEejwkNDVVaWpqqVaum4OBgBQQEeCyTpLS0NLlcLoWEhHg8tlq1anK5XCooKFBgoG/%2BDtCsWTM9%2BeSTevjhh5WXlyeHw6GJEyeqWbNmOnXqFD0tpuTkZC1btkwLFizQunXrLrvfLperyJ4ePnxYZ86cKVHPfc3Fff2tDz/8UFu3btXKlSsl/Xq/z4WwdUG1atXcfblU3y8cq5IK/X8LCQnxub7%2Btqfffvut3nnnHb3//vs6fPiwx1yOVd/gO6%2B0KDXGGIWHh2vo0KGqVKmSOnbsqD/%2B8Y9at26dx5zLPf5qXfzi4Is%2B%2B%2BwzzZ49W4sXL9aePXu0ZMkSLVy4UJs3b3bPoaeXt2vXLj3yyCMaN26cYmNjLznv4v2%2BUt%2Bs7rk3ulxfN27cqPHjx%2BuFF15Qw4YNi73OkvTdF/y2p8YYPfPMMxo5cqSqV69e5GM4Vr0fAQtXVKNGjUKXumrVqiWn06lq1aopMDDQ/ZvoBS6XS9WrV1d4eLgyMzOVn5/vsUySe/lvf6tyuVzu9fqqFStWqFu3bmrbtq0qVKigNm3aqFevXlq5ciU9LYYtW7bo0Ucf1VNPPaXBgwdL0hX3OywsrMiehoeHl7jnvqKovl6QlJSkSZMmad68eerevbt7vKi%2BpqWlKTw8/JLLL/T9wpzfLj9z5ozP9LWonq5cuVJ5eXkaOHBgkY/hWPUNvvFqi1J1880369ixY8rKynKPHT9%2BXLVq1VKFChXUsGFDj/sl0tPTdfToUTVr1kyNGzeWMUYHDx50L09OTlZISIjq16%2BvyMhIHTp0SHl5eR7LmzdvXjY7Z5OCggKPF0BJ7re909PL%2B%2BqrrzRhwgTNnTtXffr0cY9fab8jIyML3Yd2YXlJe%2B4LLtVXSVq/fr3mzJmjpUuXqn379h7LoqKiCvV17969Hn2/uK/5%2Bfnav3%2B/mjdvrjp16ig0NNRj%2BbfffqucnBxFRkZavYtl7lI9Xb16tb777ju1bdtWMTExeuyxx3TixAnFxMRo165dHKu%2BoizvqMfvX1HveLvw9ve//e1vJisry3z66acmKirKfPHFF8YYY/75z3%2BaTp06ud8yPHnyZNO/f3/348eMGWOGDh1qfvnlF3PixAnTv39/M3PmTGOMMefPnzedO3c2L7/8sjl79qzZvXu3adOmjfvjCnxBUT1dtWqVadWqlfnyyy9Nbm6u%2Beabb8xtt91mVq5caYyhp5eSm5tr7rrrLvOvf/2r0LIr7fehQ4dMVFSU2bp1qzl37px56623TMuWLU1qaqoxpmQ993aX62t6erqJiYkx27dvL/KxP//8s2nZsqX597//bc6dO2e2bdtmmjVr5n4X20cffWRat25tvv76a3P27Fkzb94807FjR5OdnW2M%2BfWdnn379jU//fSTOX36tBk2bJh5/PHHS29ny8jlenrhGLrwtXbtWtOhQwdz4sQJc/78eY5VH0HAgjHGmMjISBMZGWluvfVWc%2Butt7p/vuDQoUNm4MCBJioqynTs2NGsWrXKvaygoMDMnTvXtG3b1jRr1sz8z//8j/vzWoz59QV67NixpkWLFiY6OtpMnTrV4yMfLqw7MjLSdOrUySxfvrxsdrqUXamnb7zxhunWrZtp3ry56datm1m8eLH7c2zoadG%2B/PJLc8stt7h7efHXf//73yvu94YNG0y3bt1M06ZNzb333uv%2BJcGYkvfcm12ur6tWrbrksgu%2B%2BOIL07t3b9O0aVPTrVu3Qp%2B5tnz5ctOxY0cTGRlpBg0aZA4dOuRedv78efPMM8%2BY6Oho07JlS/PEE0%2BY9PT0Mtv30nKlY/Vin332mcfHNBjDseoLAozhbjgAAAArcQ8WAACAxQhYAAAAFiNgAQAAWIyABQAAYDECFgAAgMUIWAAAABYjYAEAAFiMgAUAAGAxAhYAAIDFCFgAAAAWI2ABAABYjIAFAABgMQIWAACAxf4PnkTYhnC2BI0AAAAASUVORK5CYII%3D\"/>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-4200294314018415972\">\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">22561.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">20683.3</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">19269.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">21419.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">20836.2</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">19131.0</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">18980.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">18514.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">20274.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">17545.6</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"other\">\n", | |
| " <td class=\"fillremaining\">Other values (91)</td>\n", | |
| " <td class=\"number\">91</td>\n", | |
| " <td class=\"number\">90.1%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"extreme-4200294314018415972\">\n", | |
| " <p class=\"h4\">Minimum 5 values</p>\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">15149.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">15273.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">15697.3</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">16245.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">16338.0</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " <p class=\"h4\">Maximum 5 values</p>\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">23584.9</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">23661.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">23851.9</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">24777.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">25364.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| "</div><div class=\"row variablerow\">\n", | |
| " <div class=\"col-md-3 namecol\">\n", | |
| " <p class=\"h4 pp-anchor\" id=\"pp_var_PrivateConsumption\">PrivateConsumption<br/>\n", | |
| " <small>Numeric</small>\n", | |
| " </p>\n", | |
| " </div><div class=\"col-md-6\">\n", | |
| " <div class=\"row\">\n", | |
| " <div class=\"col-sm-6\">\n", | |
| " <table class=\"stats \">\n", | |
| " <tr>\n", | |
| " <th>Distinct count</th>\n", | |
| " <td>101</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Unique (%)</th>\n", | |
| " <td>100.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Infinite (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Infinite (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| "\n", | |
| " </div>\n", | |
| " <div class=\"col-sm-6\">\n", | |
| " <table class=\"stats \">\n", | |
| "\n", | |
| " <tr>\n", | |
| " <th>Mean</th>\n", | |
| " <td>72519</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Minimum</th>\n", | |
| " <td>65027</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Maximum</th>\n", | |
| " <td>78576</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Zeros (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| "<div class=\"col-md-3 collapse in\" id=\"minihistogram-7452918603394423056\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAAS9JREFUeJzt3MFpw0AARUHLpKQU4Z5yTk8pIj1trj6Eh2QwWrQzd8NeHl%2ByLG9jjHED/nU/%2BwAws4%2BzD3Bln18/hz/z%2B/14w0l4lQWBYEEu4OhSWan9LAgEgUBwiTWZV27seR8LAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCwfsgC/JnEvtZEAgCgeAS6wCvw67HgkAQCASBQBAIBIFAEAgEgUAQCASBQPAknV1W/YGjBYEgEAgCgSAQCAKBsOy3WN7tYA8LAkEgELYxxjj7EM9c%2BqxttoeLFgSCQCAIBMJ09yAwEwsCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQC4Q/3VB/LuDhZogAAAABJRU5ErkJggg%3D%3D\">\n", | |
| "\n", | |
| "</div>\n", | |
| "<div class=\"col-md-12 text-right\">\n", | |
| " <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-7452918603394423056,#minihistogram-7452918603394423056\"\n", | |
| " aria-expanded=\"false\" aria-controls=\"collapseExample\">\n", | |
| " Toggle details\n", | |
| " </a>\n", | |
| "</div>\n", | |
| "<div class=\"row collapse col-md-12\" id=\"descriptives-7452918603394423056\">\n", | |
| " <ul class=\"nav nav-tabs\" role=\"tablist\">\n", | |
| " <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-7452918603394423056\"\n", | |
| " aria-controls=\"quantiles-7452918603394423056\" role=\"tab\"\n", | |
| " data-toggle=\"tab\">Statistics</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#histogram-7452918603394423056\" aria-controls=\"histogram-7452918603394423056\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#common-7452918603394423056\" aria-controls=\"common-7452918603394423056\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#extreme-7452918603394423056\" aria-controls=\"extreme-7452918603394423056\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n", | |
| "\n", | |
| " </ul>\n", | |
| "\n", | |
| " <div class=\"tab-content\">\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-7452918603394423056\">\n", | |
| " <div class=\"col-md-4 col-md-offset-1\">\n", | |
| " <p class=\"h4\">Quantile statistics</p>\n", | |
| " <table class=\"stats indent\">\n", | |
| " <tr>\n", | |
| " <th>Minimum</th>\n", | |
| " <td>65027</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>5-th percentile</th>\n", | |
| " <td>67964</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Q1</th>\n", | |
| " <td>71181</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Median</th>\n", | |
| " <td>72694</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Q3</th>\n", | |
| " <td>74116</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>95-th percentile</th>\n", | |
| " <td>76461</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Maximum</th>\n", | |
| " <td>78576</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Range</th>\n", | |
| " <td>13549</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Interquartile range</th>\n", | |
| " <td>2934.4</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " <div class=\"col-md-4 col-md-offset-2\">\n", | |
| " <p class=\"h4\">Descriptive statistics</p>\n", | |
| " <table class=\"stats indent\">\n", | |
| " <tr>\n", | |
| " <th>Standard deviation</th>\n", | |
| " <td>2499.6</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Coef of variation</th>\n", | |
| " <td>0.034469</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Kurtosis</th>\n", | |
| " <td>0.5667</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Mean</th>\n", | |
| " <td>72519</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>MAD</th>\n", | |
| " <td>1941</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"\">\n", | |
| " <th>Skewness</th>\n", | |
| " <td>-0.38604</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Sum</th>\n", | |
| " <td>7324400</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Variance</th>\n", | |
| " <td>6248100</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Memory size</th>\n", | |
| " <td>888.0 B</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-7452918603394423056\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzt3XlwFVX6xvEnC4uAAQIGFFCYQRGSQFgjiwaCRhZBFjFgOQoDgoogiAzKMiXiAA5QiEZZtGQEXCKIssgmIoq4jRuERZSIhcRAoiQEIiEkOb8//HHlkgBhOKHT6e%2BnKoWcc2/f9z3Vt3ns7nsTYIwxAgAAgDWBThcAAABQ1hCwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlwU4X4BXp6UedLsGqwMAAhYZW1uHD2SooME6X4wivrwH9e7t/iTXwev%2BSO9bgiisud%2BR1OYOF/0lgYIACAgIUGBjgdCmO8foa0L%2B3%2B5dYA6/3L7EG50LAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLgp0uAID3dH1mq9MlXJC1o9o7XQIAl%2BEMFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYFux0AQAAu7o%2Bs9XpEopt7aj2TpcAlAjOYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAs82zASklJ0fDhwxUdHa127drpscceU1ZWliRp9%2B7duvvuu9WyZUvFxcXp5ZdfdrhaAADgJp4NWPfff79CQkK0adMmLV%2B%2BXD/88IOefvpp5eTkaNiwYbrhhhu0ZcsWzZ49W/Pnz9eGDRucLhkAALiEJwNWVlaWIiIiNGbMGFWuXFm1a9dW79699eWXX2rz5s06efKkHnjgAVWqVEnh4eHq16%2BfEhMTnS4bAAC4hCcDVkhIiKZNm6aaNWv6xlJTUxUWFqadO3eqUaNGCgoK8s01adJEO3bscKJUAADgQvyyZ0lJSUlasmSJ5s6dq7Vr1yokJMRvvlq1asrMzFRBQYECA8%2BfSdPS0pSenu43FhxcSWFhYVbrdlJQUKDfn17k9TXwUv/BwYV79FL/JamotXUL9gHW4Fw8H7C%2B%2BuorPfDAAxozZozatWuntWvXFvm4gICAYm8zMTFRCQkJfmPDhw/XyJEjL6rW0igk5DKnS3Cc19fAC/3fMnOL0yWUWdWrV3a6hIvmhffA%2BbAGhXk6YG3atEljx47VpEmT1KtXL0lSaGiofvrpJ7/HZWZmqlq1asU6eyVJ8fHxio2N9RsLDq6kjIxsK3WXBkFBgQoJuUxZWceVn1/gdDmO8PoaeL1/2OHm4yLvAXesgVMh3rMB6%2Buvv9a4ceM0Z84cdejQwTceERGh119/XXl5eQoO/mN5kpKS1KxZs2JvOywsrNDlwPT0o8rLK50738XIzy8ok31dCK%2Bvgdf7x8UpC/sO7wHWoCievGial5eniRMn6tFHH/ULV5IUExOjKlWqaO7cuTp%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%2B%2BfLmuv/56RUZG%2Bv1s377doUoBAIDbBDtdgBNefPFFLVu2TNdcc02R861bt9bixYsvcVUAAKCs8OQZrAoVKpwzYAEAAFwMT57Buueee845n5qaqkGDBmnHjh0KCQnRyJEjdfvttxd7%2B2lpaUpPT/cbCw6upLCwsP%2Bp3tIoKCjQ708v8voaeL1/2BEc7N79h/cAa3AungxY5xIaGqr69evrkUceUcOGDfXee%2B/pH//4h8LCwtS2bdtibSMxMVEJCQl%2BY8OHD9fIkSNLomRHhYRc5nQJjvP6Gni9f1yc6tUrO13CReM9wBoUhYB1ho4dO6pjx46%2Bv3fv3l3vvfeeli9fXuyAFR8fr9jYWL%2Bx4OBKysjItlmqo4KCAhUScpmyso4rP7/A6XIc4fU18Hr/sMPNx0XeA%2B5YA6dCPAGrGOrUqaMdO3YU%2B/FhYWGFLgempx9VXl7p3PkuRn5%2BQZns60J4fQ283j8uTlnYd3gPsAZF4aLpGV5//XWtWbPGbyw5OVn16tVzqCIAAOA2BKwz5ObmasqUKUpKStLJkye1evVqffTRR%2Brfv7/TpQEAAJfw5CXCyMhISVJeXp4kaePGjZKkpKQk3XPPPcrOztbDDz%2Bs9PR01a1bV88//7wiIiIcqxcAALiLJwNWUlLSWecCAgL04IMP6sEHH7yEFQEAgLKES4QAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAy1wVsGJjY5WQkKDU1FSnSwEAADgrVwWsvn37as2aNbr55ps1ZMgQbdiwwffrbgAAAEoLVwWs4cOHa82aNXrzzTd17bXXaurUqYqJidGMGTO0b98%2Bp8sDAACQ5LKAdUp4eLjGjRunDz74QOPHj9ebb76pbt26afDgwdq%2BfbvT5QEAAI9zZcA6efKk1qxZo/vuu0/jxo1TrVq19Pjjj6tx48YaOHCgVq1a5XSJAADAw4KdLuBCJCcna9myZXrnnXeUnZ2tW2%2B9Va%2B88opatmzpe0zr1q31xBNPqEePHg5WCgAAvMxVAat79%2B5q0KCBhg0bpl69eqlatWqFHhMTE6PDhw87UB0AAMAfXBWwFi1apDZt2pz3cdu2bbsE1QAAABTNVfdgNWrUSPfff782btzoG/vPf/6j%2B%2B67T5mZmQ5WBgAA8CdXBaxp06bp6NGjatiwoW%2BsY8eOKigo0PTp0x2sDAAA4E%2BuukT48ccfa9WqVapevbpvrH79%2Bpo5c6Zuu%2B02BysDAAD4k6vOYOXk5KhChQqFxgMDA3X8%2BHEHKgIAACjMVQGrdevWmj59uo4cOeIbO3TokCZPnuz3VQ0AAABOctUlwvHjx%2Bvvf/%2B72rZtqypVqqigoEDZ2dmqV6%2BeFi9e7HR5AAAAklwWsOrVq6d3331XH330kfbv36/AwEA1aNBAHTp0UFBQkNPlAQAASHJZwJKk8uXL6%2Babb3a6DAAAgLNyVcD6%2BeefNWvWLP3www/KyckpNP/%2B%2B%2B87UBUAAIA/VwWs8ePHKy0tTR06dFClSpWcLgcAAKBIrgpYO3bs0Pvvv6/Q0FCnSwEAADgrV31NQ40aNThzBQAASj1XBaxhw4YpISFBxhinSwEAADgrV10i/Oijj/T1119r%2BfLlqlu3rgID/fPhG2%2B84VBlAAAAf3JVwKpSpYpuuukmp8sAAAA4J1cFrGnTpjldAgAAwHm56h4sSfrxxx/13HPP6fHHH/eNffPNNw5WBAAA4M9VAevTTz9Vz549tWHDBq1evVrSH18%2Bes899/AlowAAoNRwVcCaPXu2xo4dq1WrVikgIEDSH7%2BfcPr06Xr%2B%2Becdrg4AAOAPrroH6/vvv9eSJUskyRewJKlLly4aP368U2UBAP5HXZ/Z6nQJF2TtqPZOlwCXcNUZrMsvv7zI30GYlpam8uXLO1ARAABAYa4KWC1atNDUqVN17Ngx39i%2Bffs0btw4tW3b1sHKAAAA/uSqS4SPP/647r33XkVHRys/P18tWrTQ8ePHde2112r69OlOlwcAACDJZQGrdu3aWr16tT788EPt27dPFStWVIMGDdS%2BfXu/e7IAAACc5KqAJUnlypXTzTff7HQZAAAAZ%2BWqgBUbG3vOM1V8FxYAACgNXBWwunXr5hew8vPztW/fPiUlJenee%2B91sDIAAIA/uSpgPfroo0WOr1%2B/Xp9//vklrgYAAKBorvqahrO5%2Beab9e677zpdBgAAgKQyErB27dolY4zTZQAAAEhy2SXC/v37Fxo7fvy4kpOTFRcX50BFAAAAhbkqYNWvX7/QpwgrVKigO%2B64Q/369XOoKgAAAH%2BuClh8WzsAAHADVwWsd955p9iP7dWrVwlWApQ%2BXZ/Z6nQJAID/56qANWHCBBUUFBS6oT0gIMBvLCAggIAFAAAc46qA9dJLL%2Bnll1/W/fffr0aNGskYoz179ujFF1/U3XffrejoaKdLBAAAcFfAmj59uhYsWKBatWr5xlq1aqV69epp8ODBWr16tYPVAQAA/MFV34P1008/qWrVqoXGQ0JClJKS4kBFAAAAhbkqYNWpU0fTp09XRkaGbywrK0uzZs3S1Vdf7WBlAAAAf3LVJcLx48drzJgxSkxMVOXKlRUYGKhjx46pYsWKev75550uDwAAQJLLAlaHDh20efNmffjhhzp48KCMMapVq5ZuvPFGXX755U6XBwAAIMllAUuSLrvsMnXu3FkHDx5UvXr1nC4HAACgEFfdg5WTk6Nx48apefPm6tq1q6Q/7sEaMmSIsrKyLmhbW7ZsUbt27TR69OhCc2vWrFGPHj3UvHlz9enTRx9//LGV%2BgEAgDe4KmDNmDFDu3fv1syZMxUY%2BGfp%2Bfn5mjlzZrG38%2BKLL%2Bqpp57SNddcU2hu9%2B7dGjdunB599FF99tlnGjhwoB566CEdPHjQSg8AAKDsc1XAWr9%2BvZ599ll16dLF90ufQ0JCNG3aNG3YsKHY26lQoYKWLVtWZMBaunSpYmJiFBMTowoVKqhnz5667rrrtHLlSmt9AACAss1V92BlZ2erfv36hcZDQ0P1%2B%2B%2B/F3s799xzz1nndu7cqZiYGL%2BxJk2aKCkpqdjbT0tLU3p6ut9YcHAlhYWFFXsbpV1QUKDfn17EGgDeExz85/udYwBrcC6uClhXX321Pv/8c0VHR/v97sF169bpqquusvIamZmZhb7MtGrVqtq7d2%2Bxt5GYmKiEhAS/seHDh2vkyJFWaixNQkIuc7oEx7EGgHdUr1650BjHANagKK4KWHfddZdGjBihvn37qqCgQAsXLtSOHTu0fv16TZgwwdrrnPnLpC9UfHy8YmNj/caCgyspIyP7orZbmgQFBSok5DJlZR1Xfn6B0%2BU4gjUAvOf04zjHAHesQVGh%2BFJwVcCKj49XcHCwlixZoqCgIM2bN08NGjTQzJkz1aVLFyuvUb16dWVmZvqNZWZmKjQ0tNjbCAsLK3Q5MD39qPLySufOdzHy8wvKZF8XgjUAvKOo9zrHANagKK4KWIcPH1bfvn3Vt2/fEnuNiIgI7dixw28sKSlJ3bt3L7HXBAAAZYur7krr3LnzRV%2B%2BO58777xTn3zyiTZv3qwTJ05o2bJl%2Bumnn9SzZ88SfV0AAFB2uOoMVnR0tNauXatu3bpd1HYiIyMlSXl5eZKkjRs3SvrjTNV1112nmTNnatq0aUpJSVHDhg01f/58XXHFFRdXPAAA8AxXBawrr7xS//rXv7RgwQJdffXVKleunN/8rFmzirWd833lQlxcnOLi4v7nOgEAgLe5KmDt3btXf/nLXyRJGRkZDlcDAABQNFcErNGjR2v27NlavHixb%2Bz555/X8OHDHawKAACgaK64yX3Tpk2FxhYsWOBAJQAAAOfnioBV1CcHS/rThAAAAP8rVwSsU7/Y%2BXxjAAAApYErAhYAAICbELAAAAAsc8WnCE%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%2BqAceeEDffvutypcvf97HP/fcc0pISPAbGz58uEaOHFlSJQJqNWGd0yUAKGW%2B/FcXp0vwLM5gFUPdunWVn5%2Bv3377TVdeeeV5Hx8fH6/Y2Fi/seDgSsrIKDuXGYOCAhUScpmyso4rP7/A6XIcwRoAKO1K%2Bt8dNxwHq1ev7MjrErDOsGvXLq1cuVKPPfaYbyw5OVnly5cv9iW%2BsLCwQo9NTz%2BqvLzSufNdjPz8gjLZ14VgDQCUVpfq2MRxsDAump6hRo0aSkxM1IIFC5Sbm6t9%2B/Zpzpw5io%2BPV1BQkNPlAQAAFyBgnaFWrVpasGCBNm3apOjoaPXv31833nijxo4d63RpAADAJbhEWITWrVvrjTfecLoMAADgUpzBAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAy4KdLgAorbo%2Bs9XpEgAALsUZLAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwLMAYY5wuwgvS04%2BWyHa7PrO1RLYLAMCltHZU%2BxLZ7hVXXF4i2z0fzmABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbCKkJKSoqFDhyo6OlqdOnXSjBkzVFBQ4HRZAADAJYKdLqA0GjFihMLDw7Vx40b99ttvGjZsmGrWrKlBgwY5XRoAAHABzmCdISkpSd99950effRRXX755apfv74GDhyoxMREp0sDAAAuwRmsM%2BzcuVN16tRR1apVfWPh4eHat2%2Bfjh07pipVqpx3G2lpaUpPT/cbCw6upLCwMOv1AgBQFgQHl61zPgSsM2RmZiokJMRv7FTYysjIKFbASkxMVEJCgt/YQw89pBEjRtgr9P99%2Ba8u1rdZHGlpaUpMTFR8fLxng6PX14D%2Bvd2/xBp4vX%2BJNTiXshUXLTHGXNTz4%2BPjtXz5cr%2Bf%2BPh4S9WVDunp6UpISCh0ps5LvL4G9O/t/iXWwOv9S6zBuXAG6wyhoaHKzMz0G8vMzFRAQIBCQ0OLtY2wsDCSPAAAHsYZrDNEREQoNTVVhw8f9o0lJSWpYcOGqly5soOVAQAAtyBgnaFJkyaKjIzUrFmzdOzYMSUnJ2vhwoUaMGCA06UBAACXCHriiSeecLqI0ubGG2/U6tWrNWXKFL377ru64447NHjwYAUEBDhdWqlSuXJltWnTxtNn9ry%2BBvTv7f4l1sDr/UuswdkEmIu9oxsAAAB%2BuEQIAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBy8Pmzp2rDh06KCoqSgMHDtSBAwckSceOHdO4cePUokULtW7dWpMmTVJOTo7veYsWLdKtt96qFi1aaMCAAdqxY4dv7sSJE/rnP/%2Bpm266SdHR0Ro5cqQyMjJ88ykpKRo6dKiio6PVqVMnzZgxQwUFBZeu6dOcrf81a9aoR48eat68uWJjY/XMM8/41ej2/v/73/8qMjLS7yciIkKNGjWSJH366ae644471KJFC3Xv3l0rV670e77b%2B5fOvwZffPGF4uPj1aJFC8XGxuqFF17we/7p%2B0ifPn308ccf%2B%2BYKCgo0e/Zsde7cWa1bt9bgwYP1888/%2B%2BYzMzM1atQotWvXTh06dNCECRP83l%2BXwvn6P72XPn366G9/%2B5vfuBf2gbJ%2BHDxf/2X9OHhJGHjSkiVLTJcuXUxycrI5evSomTJlipkyZYoxxpgRI0aYESNGmMOHD5vU1FQzaNAg88477xhjjHn//fdNq1atzLfffmuOHz9u5s%2Bfb9q3b2%2Bys7ONMcZMmzbN9OnTx/zyyy8mIyPDPPTQQ2bYsGG%2B1%2B3du7eZOHGiycrKMvv27TNxcXHm5ZdfLjX9f/fdd6ZJkyZm06ZNJi8vzyQnJ5sOHTqYJUuWlKn%2BzzR37lzz8MMPm0OHDpmoqCizdOlSk5OTY7Zu3WqaNm1qtm/fbowpu/0b8%2BcapKSkmKioKPPaa6%2BZ3Nxcs23bNtOyZUvfe2DXrl0mIiLCbN682eTk5JgVK1aYZs2amdTUVGOMMYsWLTKdOnUye/fuNUePHjVPPvmk6dGjhykoKDDGGPPQQw%2BZoUOHmt9%2B%2B80cPHjQxMfH%2B957TjrV/%2BkWLVpkWrZsae6%2B%2B27fmBf2AWO8cRw806n%2BvXoctI2A5VGxsbFm/fr1hcYPHDhgwsPDTXp6epHPGzp0qJk6darv7/n5%2BaZ9%2B/Zm9erV5uTJk6Zly5Zm48aNvvm9e/eaRo0amYMHD5rt27ebxo0bm8zMTN/8a6%2B9Zm699VaLnRXP2fp/%2B%2B23Tdu2bf3GRo0aZcaPH2%2BMKTv9ny4lJcW0adPGpKSkmJdeesn06tXLb37UqFFm0qRJxpiy2b8x/muwbds289RTT/nNjxgxwkycONEYY8zkyZPN8OHD/eb79etn5s%2Bfb4wxpnv37uaVV17xzR09etQ0adLEfPPNNyY9Pd1cf/31Zvfu3b75Dz/80ERFRZnc3NySau%2B8Tu//lEOHDpm2bdua2bNn%2BwUsL%2BwDXjkOnu70/r14HCwJXCL0oEOHDunAgQM6cuSIunXr5juFe/jwYX311Ve68sortWLFCnXo0EE33nijZs6cqby8PEnSzp071aRJE9%2B2AgMD1bhxYyUlJWn//v06evSowsPDffN//etfVbFiRe3cuVM7d%2B5UnTp1VLVqVd98eHi49u3bp2PHjpWK/tu0aaOcnBytWbNGubm5%2BuGHH/Tll1%2BqY8eOZab/M82ZM0d9%2B/bVVVddVag/SWrSpInv9H9Z7F/yX4OmTZtqwoQJfvOpqamqVauWpMJrIP2xRklJScrJydHevXv95qtUqaJrrrlGSUlJ2r17t4KCgvwuxYWHh%2Bv333/Xjz/%2BWIIdntvp/Z8ydepU9e/fX1dffbXfY72wD3jhOHim0/v34nGwJBCwPOjgwYOSpHXr1mnhwoVasWKFDh48qIkTJ%2BrgwYM6dOiQUlNTtX79eiUkJGjZsmVasmSJpD/uHzn9jSFJVatWVUZGhjIzMyVJISEhfvMhISG%2B%2BTPnTm3r9OvzJe1c/V911VWaNWuWxo8fr8jISN12223q2bOnbrnlFkllo//THThwQBs2bNCgQYMkqcgaq1Wr5quvrPUvFV6DMy1evFj79%2B9X//79JZ17DY4cOSJjzDnXqEqVKgoICPCbk0rPPiBJW7Zs0c6dOzVs2LBCj/fCPuCF4%2BDpzuzfa8fBkkLA8iBjjCRpyJAhqlWrlmrXrq0RI0Zo06ZNkqT8/Hz94x//UOXKldWsWTP169dP69atK/T8823/QuculXP1n5ycrLFjx2ratGnatm2bVqxYoY0bN2rRokWFnn%2B%2B7V/onBNeffVVxcXF6Yorrij2c8pS/9K512DJkiWaM2eOXnjhBdWsWdM3XpbW4Mz%2BT5w4oSeffFITJ05UhQoVinxOWepfKnofKOvHwdOd2b/XjoMlhYDlQaf%2BoTj9/yLq1KkjY4xyc3NVoUIFlS9f3m8uPT1dklS9enXf/6GckpmZqdDQUIWGhvr%2BfrojR46oRo0aCg0NLfK5AQEBvudeCufq/6WXXlLTpk3VtWtXVaxYUddff73uuusuLV26VFLZ6P8Ets7cAAAEd0lEQVR069evV2xsrO/vRfWXkZHhq6%2Bs9S8VXoNTZs%2BerXnz5mnRokVq2bKlb/xca1CtWjUFBgYWOX9qDY4dO6b8/Hy/OUmqUaOGzbaK7cz%2B586dq8aNGysmJqbIx3thH6hZs2aZPw6e7sz%2B33rrLU8dB0sKAcuDateurSpVqmj37t2%2BsZSUFJUrV0433XSTsrOz/T5WnpKS4rs3IyIiQjt37vTN5efna9euXWrWrJnq1aunqlWr%2Bs1///33ys3NVUREhCIiIpSamqrDhw/75pOSktSwYUNVrly5JFv2c67%2Bq1at6vePnyTl5ub6/rss9H/K7t27lZKSovbt2/vGIiMj/T5uLUk7duxQs2bNJJWt/qWi10CSFi5cqNWrVysxMbHQ/VYRERGF1igpKUnNmjVThQoVdO211/qtQVZWlvbv36%2BmTZuqcePGMsbou%2B%2B%2B83tuSEiIGjRoUAIdnltR/a9cuVJbt25VdHS0oqOjNWXKFH399deKjo5WamqqJ/aBhg0blvnj4ClF9V9QUOCZ42CJukQ306OUmTp1quncubP56aefzK%2B//mri4%2BPNY489ZgoKCkzv3r3NsGHDzJEjR8yuXbvMDTfcYN5%2B%2B21jzB%2BfeGrZsqX55ptvzO%2B//26ee%2B45ExMTY44fP26MMWbGjBmmd%2B/e5pdffjGHDx82w4YNMyNGjPC9br9%2B/cz48ePN0aNHzd69e01sbKzvo7%2Blof/PPvvMNGnSxLz33nsmNzfXJCcnm1tuucXMmTOnTPVvjDHLli0zbdq08Rv79ddfTfPmzc2bb75pcnJyzObNm03Tpk19n3orS/0bU/Qa7N%2B/30RFRZk9e/YU%2BZw9e/aYyMhI88EHH5icnByzdOlS07x5c5OWlmaM%2BeMTUR07dvR9TcOkSZNM3759fc8fNWqUGTJkiPntt99Mamqq6du3r5k%2BfXrJNXkORfWflpZmUlNTfT8LFy40d955p0lNTTV5eXme2Ae8chw0puj%2BvXQcLEkELI86ceKEeeKJJ0zr1q1NVFSUGTdunDl27JgxxphffvnFDBkyxDRr1sy0bdvWLFiwwPcdPsYY8%2Bqrr5qYmBgTERFhBgwY4PcP0enbbd68uXnkkUdMVlaWbz41NdUMGTLENG3a1LRr1848%2B%2Byzftu%2BVM7V/6pVq8xtt91moqKiTKdOnczMmTPNiRMnfM8tC/0bY8y8efNM9%2B7dC41/8cUXpmfPniY8PNzExcUV%2BjqLstK/MUWvQUJCgmnUqJGJiIjw%2B4mLi/M9Zv369SYuLs6Eh4eb22%2B/3XzxxRe%2BuYKCAjNnzhzTtm1b07RpU3Pffff5viPLGGOysrLM6NGjTVRUlGndurWZPHmy3/51KZ1tHzjdW2%2B95fc1DcaU/X3AGG8cB405e/9eOQ6WpABjPHK3GQAAwCXCPVgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYNn/AUnzZcASORcKAAAAAElFTkSuQmCC\"/>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-7452918603394423056\">\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">72364.6</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">76684.0</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">73224.0</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">69978.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">73975.2</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">70682.6</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">71181.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">73382.9</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">67080.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">76460.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"other\">\n", | |
| " <td class=\"fillremaining\">Other values (91)</td>\n", | |
| " <td class=\"number\">91</td>\n", | |
| " <td class=\"number\">90.1%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"extreme-7452918603394423056\">\n", | |
| " <p class=\"h4\">Minimum 5 values</p>\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">65027.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">65857.9</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">66561.9</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">67080.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">67785.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " <p class=\"h4\">Maximum 5 values</p>\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">76508.0</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">76641.0</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">76684.0</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">77900.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">78576.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| "</div><div class=\"row variablerow ignore\">\n", | |
| " <div class=\"col-md-3 namecol\">\n", | |
| " <p class=\"h4 pp-anchor\" id=\"pp_var_PrivateDemand\"><s>PrivateDemand</s><br/>\n", | |
| " <small>Highly correlated</small>\n", | |
| " </p>\n", | |
| " </div><div class=\"col-md-3\">\n", | |
| " <p><em>This variable is highly correlated with <a href=\"#pp_var_DomesticDemand\"><code>DomesticDemand</code></a> and should be ignored for analysis</em></p>\n", | |
| "</div>\n", | |
| "<div class=\"col-md-6\">\n", | |
| " <table class=\"stats \">\n", | |
| " <tr>\n", | |
| " <th>Correlation</th>\n", | |
| " <td>0.91897</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| "</div>\n", | |
| "</div><div class=\"row variablerow\">\n", | |
| " <div class=\"col-md-3 namecol\">\n", | |
| " <p class=\"h4 pp-anchor\" id=\"pp_var_PrivateResidentialInvestment\">PrivateResidentialInvestment<br/>\n", | |
| " <small>Numeric</small>\n", | |
| " </p>\n", | |
| " </div><div class=\"col-md-6\">\n", | |
| " <div class=\"row\">\n", | |
| " <div class=\"col-sm-6\">\n", | |
| " <table class=\"stats \">\n", | |
| " <tr>\n", | |
| " <th>Distinct count</th>\n", | |
| " <td>101</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Unique (%)</th>\n", | |
| " <td>100.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Infinite (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Infinite (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| "\n", | |
| " </div>\n", | |
| " <div class=\"col-sm-6\">\n", | |
| " <table class=\"stats \">\n", | |
| "\n", | |
| " <tr>\n", | |
| " <th>Mean</th>\n", | |
| " <td>4770.7</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Minimum</th>\n", | |
| " <td>3218.8</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Maximum</th>\n", | |
| " <td>7629</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Zeros (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| "<div class=\"col-md-3 collapse in\" id=\"minihistogram3284588059089095840\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAASxJREFUeJzt3dFpwzAUQNG6ZKQOkZ3ynZ06RHdSFygXE1Ct2OcsYP1c3sPIeBtjjA/gT59HHwBWdjv6AO/k6/E9/Rk/z/v0Z7CfCQJBIBBOsWL9x%2BrDNZkgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCYbnr7q6usxITBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAsd1mR%2BV65EHrV3zKYIBAEAsGKtRjrz1pMEAgmyAn4CnMeEwSCQCBYsZjmDC8cTBAIAoFgxWKXq74pM0EgCASCQCAIBMI2xhhHHwJWZYJAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFA%2BAXsxBo5dDprJwAAAABJRU5ErkJggg%3D%3D\">\n", | |
| "\n", | |
| "</div>\n", | |
| "<div class=\"col-md-12 text-right\">\n", | |
| " <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives3284588059089095840,#minihistogram3284588059089095840\"\n", | |
| " aria-expanded=\"false\" aria-controls=\"collapseExample\">\n", | |
| " Toggle details\n", | |
| " </a>\n", | |
| "</div>\n", | |
| "<div class=\"row collapse col-md-12\" id=\"descriptives3284588059089095840\">\n", | |
| " <ul class=\"nav nav-tabs\" role=\"tablist\">\n", | |
| " <li role=\"presentation\" class=\"active\"><a href=\"#quantiles3284588059089095840\"\n", | |
| " aria-controls=\"quantiles3284588059089095840\" role=\"tab\"\n", | |
| " data-toggle=\"tab\">Statistics</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#histogram3284588059089095840\" aria-controls=\"histogram3284588059089095840\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#common3284588059089095840\" aria-controls=\"common3284588059089095840\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#extreme3284588059089095840\" aria-controls=\"extreme3284588059089095840\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n", | |
| "\n", | |
| " </ul>\n", | |
| "\n", | |
| " <div class=\"tab-content\">\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles3284588059089095840\">\n", | |
| " <div class=\"col-md-4 col-md-offset-1\">\n", | |
| " <p class=\"h4\">Quantile statistics</p>\n", | |
| " <table class=\"stats indent\">\n", | |
| " <tr>\n", | |
| " <th>Minimum</th>\n", | |
| " <td>3218.8</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>5-th percentile</th>\n", | |
| " <td>3438.5</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Q1</th>\n", | |
| " <td>3979.4</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Median</th>\n", | |
| " <td>4677.6</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Q3</th>\n", | |
| " <td>5192.1</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>95-th percentile</th>\n", | |
| " <td>6693.2</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Maximum</th>\n", | |
| " <td>7629</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Range</th>\n", | |
| " <td>4410.2</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Interquartile range</th>\n", | |
| " <td>1212.7</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " <div class=\"col-md-4 col-md-offset-2\">\n", | |
| " <p class=\"h4\">Descriptive statistics</p>\n", | |
| " <table class=\"stats indent\">\n", | |
| " <tr>\n", | |
| " <th>Standard deviation</th>\n", | |
| " <td>1005.7</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Coef of variation</th>\n", | |
| " <td>0.21081</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Kurtosis</th>\n", | |
| " <td>0.34775</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Mean</th>\n", | |
| " <td>4770.7</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>MAD</th>\n", | |
| " <td>783.85</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"\">\n", | |
| " <th>Skewness</th>\n", | |
| " <td>0.82616</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Sum</th>\n", | |
| " <td>481840</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Variance</th>\n", | |
| " <td>1011400</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Memory size</th>\n", | |
| " <td>888.0 B</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram3284588059089095840\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%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%2BY5HG1s2S5HsHwkKChIwcFBdrcR8IKDg5iLJoK5aDqYi6aDufAfBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMCzU7gYAmDFq2Ta7W/Bbb2al2t0CgGaGI1gAAACGEbAAAAAMI2ABAAAY5lfXYH3wwQeaNWuWkpOT9dhjj3nqc%2BfO1euvv%2B411u1267rrrlN2dnaN9aSlpamkpERBQUGeWmpqqp566qnGax4AAPgNvwlYzzzzjNauXasuXbrUWLZo0SItWrTIc7uqqkrXX3%2B9Ro4cec71/dd//ZeSk5MbpVcAAODf/OYUYcuWLc8ZsP7d888/r4svvlhDhgzxQWcAACDQ%2BE3Amjhxotq0afOz48rKyvTUU0/pvvvu%2B8lxq1ev1vDhw9WvXz/dfffdOnr0qKlWAQCAn/ObU4R19eKLLyopKUmXXnrpOcf07NlTvXv31qOPPqqysjLNmjVL06dP14svvlinbZSUlKi0tNSr5nA4FB7%2B8wEQjSskJNjrN1AXoaH%2B/e%2BF50XTwVz4j4AKWG63W2vWrNHSpUt/ctyKFSs8/x0REaH58%2BcrPT1d3377rTp37vyz28nPz1deXp5Xbdq0acrMzDy/xmFcZGQru1tAMxIdHWF3Cz7B86LpYC6av4AKWB999JHOnj2r/v371%2Bt%2BHTp0kPTDkam6BKyMjAylpaV51RwOh8rKKuR2V9dr2zArJCRYkZGtmAvUi9NZbncLjYrnRdPBXJhn1xukgApYb7/9tn71q18pNPTcu11cXKxVq1Zpzpw5CgsLkyQVFRVJkjp16lSn7cTGxio2NrZG3eksV1UVT5imwO2uZi5QZ4Hyb4XnRdPBXDR/AXWSd8%2BePerYsWON%2BubNmzVhwgRJUrt27bR161bl5OTo1KlTOnz4sLKzs3XllVcqLi7O1y0DAIBmyG%2BOYCUmJkr64TuuJGnLli2SpMLCQs%2BY0tJSXXjhhTXue%2BLECX3zzTeSpPDwcD377LPKycnR4MGDJUm/%2Bc1vNHv27EbtHwAA%2BI8gy7Isu5sIFJwitF9oaLCioyP8ci5GLdtmdwt%2B682sVLtbaFT%2B/LxobpgL8xwOez7BH1CnCAEAAHyBgAUAAGCY31yDhaaPU1gAgEDBESwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwzK8C1gcffKCUlBTNmDHDq75u3Tr98pe/VGJiotfPjh07al2Py%2BVSVlaWUlJSNGjQIM2ZM0enT5/2xS4AAAA/EGp3A6Y888wzWrt2rbp06VLr8qSkJL3wwgt1Wte8efN09uxZFRQUqLKyUtOnT1dubq7mzp1rsmUAAOCn/OYIVsuWLX8yYNXVkSNHtGXLFs2YMUMxMTGKi4vTnXfeqVdeeUWVlZWGugUAAP7Mb45gTZw48SeXHzx4ULfddpt27typyMhI3X333bruuutqjNuzZ49CQkIUHx/vqfXq1UunTp3SV1995VU/l5KSEpWWlnrVHA6HwsPb1HFvADQloaF%2B8160ViEhwV6/YR/mwn/4TcD6KTExMeratavuuecede/eXZs3b9b999%2Bv2NhYDRw40Gusy%2BVS69atFRQU5KlFRUVJkpxOZ522l5%2Bfr7y8PK/atGnTlJmZ2cA9AWCH6OgIu1vwicjIVna3gP/FXDR/ARGwhg4dqqFDh3pujx49Wps3b9a6detqBCxJsiyrQdvLyMhQWlqaV83hcKisrEJud3WD1g3A95zOcrtbaFQhIcGKjGzFa1QTwFyYZ9cbpIAIWLXp0KGDdu7cWaMeExOjkydPyu12KyQkRNIPR7UkqV27dnVad2xsrGJjY2vUnc5yVVXxhAGam0B53rrd1QGzr00dc9H8BcRJ3pdeekkbNmzwqhUVFalTp041xvbs2VOWZWnv3r2eWmFhoSIjI9WtW7dG7xUAADR/ARGwzp49q4ULF6qwsFCVlZUqKCjQ%2B%2B%2B/r5tvvlmStHnzZk2YMEHSD0ewRowYoWXLlunYsWM6dOiQVqxYoRtvvFGhoQF7wA8AANSD3ySGxMRESVJVVZUkacuWLZJ%2BOPo0ceJElZeXa/r06SotLVXHjh21YsUKJSQkSJJOnDihb775xrOuhx9%2BWPPnz9ewYcPUokULXX311TW%2BvBQAAOBcgqyGXtGNOgv0a7BGLdtmdwvAeXkzK9XuFhpVaGiwoqMjAv41qilgLsxzOOz5iqSAOEUIAADgSwQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYJjfBKwPPvhAKSkpmjFjRo1lmzZt0rXXXqt%2B/fppxIgRevnll8%2B5nv/4j/9Qr169lJiY6Pm59tprG7N1AADgZ0LtbsCEZ555RmvXrlWXLl1qLNuxY4dmzpypP/7xjxo6dKi2bdumu%2B66S7/4xS/Uv3//Wte3cOFCjRkzprHbBgAAfsovjmC1bNnynAHL5XJpypQpGj58uEJDQzVkyBD16NFDH3/8sQ2dAgCAQOAXR7AmTpx4zmWDBw/W4MGDPberqqpUWlqquLi4c95nw4YNevbZZ3Xw4EH16dNHDz/8sDp37lznfkpKSlRaWupVczgcCg9vU%2Bd1AGg6QkP94r3oOYWEBHv9hn2YC//hFwGrPnJzc3XBBRcoPT291uWXXHKJWrVqpdzcXFVXV2vRokWaPHmyCgoKFBYWVqdt5OfnKy8vz6s2bdo0ZWZmNrh/AL4XHR1hdws%2BERnZyu4W8L%2BYi%2BYvYAKWZVnKzc1VQUGBVq9erZYtW9Y6bsGCBV63H374YSUnJ%2BuTTz7RwIED67StjIwMpaWledUcDofKyirkdlefV/8A7ON0ltvdQqMKCQlWZGQrXqOaAObCPLveIAVEwKqurtbs2bO1Y8cOvfTSS%2BrUqVOd79u6dWtFRUXp8OHDdb5PbGysYmNja9SdznJVVfGEAZqbQHneut3VAbOvTR1z0fwFxEnexYsX64svvvjZcHXy5EktWLDAK0wdO3ZMx44dq1coAwAAgc3vA9Ynn3yi9evXa9WqVWrbtm2N5Tt27NDIkSN19uxZtW7dWp999pkWLVokl8ul48eP66GHHlJ8fLz69etnQ/cAAKA58otThImJiZJ%2B%2BISgJG3ZskWSVFhYqFdeeUUnTpzQlVde6XWfpKQk/elPf1JFRYX2798vy7IkSStWrNDixYs1YsQInT17VgMHDtSqVasUHOz3WRQAABgSZP2YLNDoAv0arFHLttndAnBe3sxKtbuFRhUaGqzo6IiAf41qCpgL8xwOe74iicMyAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADDM9oCVlpamvLw8HTx40O5WAAAAjLA9YI0dO1YbNmzQ8OHDNXnyZG3atElVVVV2twUAAHDebA9Yd911lzZs2KCXX35Zl156qRYvXqwhQ4ZoyZIl2r9/v93tAQAA1JvtAetHvXr10qxZs/TOO%2B/owQcf1Msvv6z09HTdfvvt2rFjh93tAQAA1FmTCViVlZXasGGD7rjjDs2aNUtxcXGaPXu2evbsqUmTJulvf/ub3S0CAADUSajdDRQVFWnt2rV67bXXVF5erhEjRuj555/XFVdc4RmTlJSkBQsW6JprrrGxUwAAgLqxPWCNHj1a3bp105QpU3T99derbdu2NcYMGTJEx44ds6E7AACA%2BrM9YK1evVoDBgz42XGfffaZD7ppfkYt22Z3CwAA4N/Yfg1WfHy8pk6dqi1btnhqf/7zn3XHHXfI5XLZ2BkAAMD5sT1gZWdn68SJE%2BrevbunNnToUFVXVysnJ8fGzgAAAM6P7acI//73v%2Btvf/uboqOjPbWuXbsqNzdXV199tY2dAQAAnB/bj2CdPn1aLVu2rFEPDg5WRUWFDR0BAAA0jO0BKykpSTk5OTp%2B/LindvjwYT300ENeX9UAAADQXNh%2BivDBBx/Ub3/7Ww0cOFCtW7dWdXW1ysvL1alTJ73wwgt2twcAAFBvtgesTp066Y033tD777%2Bvb7/9VsHBwerWrZsGDRqkkJAQu9sDAACoN9sDliSFhYVp%2BPDhdrcBAABghO0B68CBA1q6dKm%2B%2BOILnT59usbyt99%2B24auAAAAzp/tAevBBx9USUmJBg0apAsuuMDudgAAABrM9oC1c%2BdOvf3224qJibG7FQAAACNs/5qGdu3aGTty9cEHHyglJUUzZsyosWzDhg265ppr1K9fP40ZM0Z///vfz7kel8ulrKwspaSkaNCgQZozZ06tpy8BAABqY3vAmjJlivLy8mRZVoPW88wzz2jRokXq0qVLjWV79uzRrFmzNHPmTP33f/%2B3Jk2apGnTpunQoUO1rmvevHmqqKhQQUGBXnnlFRUVFSk3N7dB/QEAgMBhe8B6//339eqrryo1NVU33XSTbr75Zq%2BfumrZsqXWrl1ba8D661//qiFDhmjIkCFq2bKlrr32WvXo0UPr16%2BvMfbIkSPasmWLZsyYoZiYGMXFxenOO%2B/UK6%2B8osrKygbtKwAACAy2X4PVunVrDR48uMHrmThx4jmX7dq1S0OGDPGqXXbZZSosLKwxds%2BePQoJCVF8fLyn1qtXL506dUpfffWVVx0AAKA2tges7OzsRt%2BGy%2BVSVFSUVy0qKkpffvllrWNbt26toKAgr7GS5HQ667S9kpISlZaWetUcDofCw9vUt3UATUBoqO0H%2BxtVSEiw12/Yh7nwH7YHLEn66quv9MYbb%2Bj777/3BK5PP/1U/fr1M7aN%2Blzj1dDrwfLz85WXl%2BdVmzZtmjIzMxu0XgD2iI6OsLsFn4iMbGV3C/hfzEXzZ3vA%2BvDDD3XHHXeoW7du%2Bvrrr5Wdna0DBw5o4sSJWrZsmYYNG9bgbURHR8vlcnnVXC5XrV8NERMTo5MnT8rtdnv%2BVM%2BP923Xrl2dtpeRkaG0tDSvmsPhUFlZhdzu6vPZBQA2cjrL7W6hUYWEBCsyshWvUU0Ac2GeXW%2BQbA9Yjz32mO677z7deuut6t27t6Qf/j5hTk6OVqxYYSRgJSQkaOfOnV61wsJCjR49usbYnj17yrIs7d27V7169fKMjYyMVLdu3eq0vdjYWMXGxtaoO53lqqriCQM0N4HyvHW7qwNmX5s65qL5s/0k7%2Beff67x48dLktd1TyNHjlRRUZGRbdx00036xz/%2BoXfffVdnzpzR2rVr9fXXX%2Bvaa6%2BVJG3evFkTJkyQ9MMRrBEjRmjZsmU6duyYDh06pBUrVujGG29UaKjteRQAADQDtieGNm3a6PTp0woLC/Oql5SU1Kj9lMTERElSVVWVJGnLli2Sfjj61KNHD%2BXm5io7O1vFxcXq3r27nn76aTkcDknSiRMn9M0333jW9fDDD2v%2B/PkaNmyYWrRooauvvrrWLy8FAACoTZDV0Cu6G2j69Olq1aqV5s6dq9TUVH322Wfav3%2B/5s%2Bfr7Zt2%2BqJJ56wsz2jGuMU4ahl24yuD0BNb2al2t1CowoNDVZ0dASXMTQBzIV5Doc9n%2BC3/QjW7Nmzdeuttyo5OVlut1uXX365KioqdOmllyonJ8fu9gAAAOrN9oDVvn17FRQU6L333tP%2B/fsVHh6ubt26KTU11euaLAAAgObC9oAlSS1atNDw4cPtbgMAAMAI2wNWWlraTx6pevvtt33YDQAAQMPZHrDS09O9Apbb7db%2B/ftVWFioW2%2B91cbOAAAAzo/tAWvmzJm11jdu3Kh//vOfPu4GAACg4Wz/otFzGT58uN544w272wAAAKi3Jhuwdu/e3eA/ugwAAGAH208R3nzzzTVqFRUVKioq0lVXXWVDRwAAAA1je8Dq2rVrjU8RtmzZUjfeeKPGjRtnU1cAAADnz/aAxbe1AwAAf2N7wHrttdfqPPb6669vxE4AAADMsD1gzZkzR9XV1TUuaA8KCvKqBQUFEbAAAECzYHvAevbZZ/WnP/1JU6dOVXx8vCzL0r59%2B/TMM8/olltuUXJyst0tAgAA1IvtASsnJ0erVq1SXFycp9a/f3916tRJt99%2BuwoKCmzsDgAAoP5s/x6sr7/%2BWlFRUTXqkZGRKi4utqEjAACAhrE9YHXo0EE5OTlyOp2eWllZmZYuXarOnTvb2BkAAMD5sf0U4YMPPqh7771X%2Bfn5ioiIUHBwsE6ePKnw8HCtWLHC7vYAAADqzfaANWjQIL377rt67733dOjQIVmWpbi4OP36179WmzZt7G4PAACg3mwPWJLUqlUrDRs2TIcOHVKnTp3sbgcAAKBBbL8G6/Tp05o1a5b69eunUaNGSfrhGqzJkyerrKzM5u4AAADqz/aAtWTJEu3Zs0e5ubkKDv7/7bjdbuXm5trYGQAAwPmxPWBt3LhRTzzxhEaOHOn5o8%2BRkZHKzs7Wpk2bbO4OAACg/mwPWOXl5eratWuNekxMjE6dOuX7hgAAABrI9oDVuXNn/fOf/5Qkr789%2BNZbb%2Bniiy%2B2qy0AAIDzZvunCCdMmKDMzEyNHTtW1dXVeu6557Rz505t3LhRc%2BbMsbs9AACAerM9YGVkZCg0NFQvvviiQkJC9NRTT6lbt27Kzc3VyJEj7W4PAACg3mwPWMeOHdPYsWM1duxYu1sBAAAwwvZrsIYNG%2BZ17RUAAEBzZ3vASk5O1ptvvml3GwAAAMbYforwoosu0iOPPKJVq1apc%2BfOatGihdfypUuX2tQZAADA%2BbE9YH355Zf6xS9%2BIUlyOp02dwMAANBwtgWsGTNm6LHHHtMLL7zgqa1YsUJ33XWX8W199NFH%2Bu1vf%2BtVsyxLlZWV2rdvn1d9%2BfLlevLJJxUa6v3QvPPOO7rwwguN9wYAAPyPbQFr69atNWqrVq1qlICVlJSkwsJCr9pTTz2lvXv31jr%2BuuuuU05OjvE%2BAABAYLAtYNX2yUFffZrw%2B%2B%2B/13PPPadXX33VJ9sDAACBxbaA9eMfdv65WmN4/PHHNXbs2HP%2BKZ59%2B/bp5ptv1ueff66LLrpIs2fP1qBBg%2Bq8/pKSEpWWlnrVHA6HwsPbNKhvAPYIDbX9A9eNKiQk2Os37MNc%2BA/bL3L3te%2B%2B%2B06bNm3Spk2bal3evn17derUSffee69iY2OVn5%2BvqVOnav369Z6L8X9Ofn6%2B8vLyvGrTpk1TZmZmg/sH4HvR0RF2t%2BATkZGt7G4B/4u5aP4CLmCtWbNGV111lRwOR63Lx40bp3HjxnluT5o0SW%2B88YbWr1%2BvrKysOm0jIyNDaWlpXjWHw6Gysgq53dXn3zwAWzid5Xa30KhCQoIVGdmK16gmgLkwz643SLYFrMrKSt17770/WzP9PVgbN27UrFmz6nWfDh06qKSkpM7jY2NjFRsbW6PudJarqoonDNDcBMrz1u2uDph9beqYi%2BbPtoB1xRVX1AgttdVM2rNnj4qLi5WamnrOMU8%2B%2BaT69eungQMHempFRUVKT09vtL4AAIB/sS1g/d/vv/KV3bt3q23btmrdurVXfeTIkVq0aJH69%2B8vl8ulhx56SE8%2B%2BaQ6dOigNWvW6Ntvv9UNN9zg834BAEDzFFDXYB05cqTWa6/279%2BvU6dOSZLnFOWkSZPkcrnUvXt3/fnPf1b79u192isAAGi%2BgixfffkUGuUarFHLthldH4Ca3sw692UF/iA0NFjR0RFcJ9oEMBfmORz2fEUSX7QBAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMCwULsbAAAErlHLttndQr28mZVqdwtoJjiCBQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDAuaPPcfHx6tFixYKCgry1G666SbNmzevxtjVq1drzZo1Ki0tVXx8vObMmaOEhARftgsAAJqxgAlYkvTWW2%2BpY8eOPzlm69atWr58uZ599lnFx8dr9erVmjp1qjZt2qQLLrjAR50CAIDmjFOE/yY/P19jxoxRnz59FB4ersmTJ0uS3nnnHZs7AwAAzUVAHcFaunSpPv30U508eVKjRo3SAw88oIiICK8xu3btUnp6uud2cHCwevbsqcLCQo0ePbpO2ykpKVFpaalXzeFwKDy8TcN3AoDPhYb693vRkJBgr984t8b%2Bt8Bc%2BI%2BACVh9%2B/ZVSkqK/vCHP%2BjAgQPKysrSQw89pEcffdRrnMvlUlRUlFctKipKTqezztvKz89XXl6eV23atGnKzMw8/x0AYJvf5H5gdwv18vEjI8/rfpGRrQx34n%2BioyN%2BfpABzEXzFzABKz8/3/Pfl1xyiWbOnKnf//73WrRokcLCwrzGWpbVoG1lZGQoLS3Nq%2BZwOFRWViG3u7pB6waAn%2BN0ltdrfEhIsCIjW/EaVQf1fWzri7kwz1eh%2BN8FTMD6dx07dpTb7dbRo0d10UUXeerR0dFyuVxeY10uly699NI6rzs2NlaxsbE16k5nuaqqeMIAaFzn%2BzrjdlfzGvUzfPX4MBfNX0Cc5N29e7dycnK8akVFRQoLC6sRhBISErRr1y7Pbbfbrd27d6tPnz4%2B6RUAADR/ARGw2rVrp/z8fK1atUpnz57V/v379fjjjysjI0MhISEaOXKkPv74Y0nS%2BPHj9dprr2n79u2qqKjQypUrFRYWpqFDh9q7EwAAoNkIiFOEcXFxWrVqlZYuXeoJTDfccINmzJghSdq/f79OnTolSRo8eLDuueceZWVl6ejRo0pMTNSqVasUHh5u5y4AAIBmJCACliQlJSXpL3/5S63L9u3b53V7woQJmjBhgi/aAgAAfiggThECAAD4EgELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwLCA%2BVM5ABAoRi3bZncLQMDjCBYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwLBQuxsAAACNY9SybXa3UGdvZqXa3YJRHMECAAAwjIAFAABgGAELAADAsIAJWMXFxbrrrruUnJyslJQUPfDAAyorK6sxbt26dfrlL3%2BpxMREr58dO3bY0DUAAGiOAiZgTZ06VZGRkdq6davWrVunL774Qn/4wx9qHZuUlKTCwkKvn969e/u4YwAA0FwFRMAqKytTQkKC7r33XkVERKh9%2B/a64YYb9PHHH9vdGgAA8EMBEbAiIyOVnZ2tCy%2B80FM7ePCgYmNjax1/8OBB3XbbbUpKStKwYcP0%2Buuv%2B6pVAADgBwLye7AKCwv14osvauXKlTWWxcTEqGvXrrrnnnvUvXt3bd68Wffff79iY2M1cODAOq2/pKREpaWlXjWHw6Hw8DZG%2BgcA2CM0tHGPS4SEBHv9DiSN/dj6WsAFrE8%2B%2BUS///3vde%2B99yolJaXG8qFDh2ro0KGe26NHj9bmzZu1bt26Oges/Px85eXledWmTZumzMzMBvUOALBXdHSET7YTGdnKJ9tpSnz12PpKQAWsrVu36r777tO8efN0/fXX1/l%2BHTp00M6dO%2Bs8PiMjQ2lpaV41h8OhsrIKud3VdV4PAKBpcTrLG3X9ISHBioxsFZD/v2isx9au4BYwAet//ud/NGvWLD3%2B%2BOMaNGjQOce99NJLioqKUnp6uqdWVFSkTp061XlbsbGxtV7f5XSWq6oqsJ4wAOBPfPUa7nZXB9z/L/xtf/3rhOc5VFVVae7cuZo5c2at4erWW2/Vhg0bJElnz57VwoULVVhYqMrKShUUFOj999/XzTff7Ou2AQBAMxUQR7A9RTWFAAAK3klEQVS2b9%2BuoqIiLVq0SIsWLfJa9tZbb%2BnAgQM6fvy4JGnixIkqLy/X9OnTVVpaqo4dO2rFihVKSEiwo3UAANAMBUTA6t%2B/v/bt23fO5Vu3bvX8d1BQkO68807deeedvmgNAAD4oYA4RQgAAOBLBCwAAADDAuIUIQAAJoxats3uFtBMcAQLAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADCNgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACGEbAAAAAMI2ABAAAYRsACAAAwjIAFAABgGAELAADAMAIWAACAYQQsAAAAwwhYAAAAhhGwAAAADAuYgFVcXKzf/e53Sk5O1pVXXqklS5aourq61rGrV6/WiBEjdPnll2v8%2BPHauXOnj7sFAADNWcAErMzMTMXFxWnLli167rnntGXLFj3//PM1xm3dulXLly/Xo48%2Bqn/84x%2B68sorNXXqVJ06dcqGrgEAQHMUEAGrsLBQe/fu1cyZM9WmTRt17dpVkyZNUn5%2Bfo2x%2Bfn5GjNmjPr06aPw8HBNnjxZkvTOO%2B/4um0AANBMhdrdgC/s2rVLHTp0UFRUlKfWq1cv7d%2B/XydPnlTr1q29xqanp3tuBwcHq2fPniosLNTo0aPrtL2SkhKVlpZ61RwOh8LD2zRwTwAA8E%2Bhof51zCcgApbL5VJkZKRX7cew5XQ6vQKWy%2BXyCmI/jnU6nXXeXn5%2BvvLy8rxqSUlJ%2BuMf/6jY2Nj6tv%2BTPn5kpNH1%2BbuSkhLl5%2BcrIyPD%2BFygfpiLpoO5aDqYC//hX3HxJ1iW1Shja5ORkaF169Z5fpYsWaKPPvqoxlEt%2BF5paany8vKYiyaAuWg6mIumg7nwHwFxBCsmJkYul8ur5nK5FBQUpJiYGK96dHR0rWMvvfTSOm8vNjaWdx4AAASwgDiClZCQoIMHD%2BrYsWOeWmFhobp3766IiIgaY3ft2uW57Xa7tXv3bvXp08dn/QIAgOYtIALWZZddpsTERC1dulQnT55UUVGRnnvuOY0fP16SNHLkSH388ceSpPHjx%2Bu1117T9u3bVVFRoZUrVyosLExDhw61cQ8AAEBzErJgwYIFdjfhC7/%2B9a9VUFCghQsX6o033tCNN96o22%2B/XUFBQVq4cKFGjRqlLl26qEuXLmrdurUeeeQRPfHEEzp79qyWLl2quLi4Bm0/IiJCAwYMqHHEDL7HXDQdzEXTwVw0HcyFfwiyGnpFNwAAALwExClCAAAAXyJgAQAAGEbAAgAAMIyABQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYNXT3r17deutt%2BqKK65QSkqKsrKyVFpaKkn68MMPdeONN%2Bryyy/X6NGjtX79eq/7rl69WiNGjNDll1%2Bu8ePHa%2BfOnZ5lZ86c0X/%2B539q8ODBSk5O1t133y2n0%2BnTfWvOFi9erPj4eM9t5sK34uPjlZCQoMTERM/PwoULJTEXdli5cqUGDRqkvn37atKkSfruu%2B8kMRe%2B9NFHH3k9HxITE5WQkOB5nWIuAoCFOjtz5ow1cOBAKy8vzzpz5ox19OhR65ZbbrHuvPNO6/Dhw1bfvn2tv/71r9bp06etbdu2Wb1797Z27NhhWZZlvf3221b//v2t7du3WxUVFdbTTz9tpaamWuXl5ZZlWVZ2drY1ZswY6/vvv7ecTqc1bdo0a8qUKXbubrOxe/dua8CAAVaPHj0sy7KYCxv06NHDOnDgQI06c%2BF7L774ojVy5EirqKjIOnHihLVw4UJr4cKFzEUTsHLlSmv69OnMRYAgYNWDy%2BWyXn75ZauystJTe/75563f/OY31rPPPmtdf/31XuOzsrKsefPmWZZlWb/73e%2BsxYsXe5a53W4rNTXVKigosCorK60rrrjC2rJli2f5l19%2BacXHx1uHDh1q5L1q3txutzVu3DjrySef9AQs5sL3zhWwmAvfS0tLszZu3FijzlzYq7i42BowYIBVXFzMXAQIThHWQ1RUlMaNG6fQ0FBJ0ldffaVXX31Vo0aN0q5du3TZZZd5jb/ssss8h3X/fXlwcLB69uypwsJCffvttzpx4oR69erlWX7JJZcoPDxcu3bt8sGeNV9/%2Bctf1LJlS11zzTWeGnNhj6VLl2ro0KHq37%2B/5s2bp/LycubCxw4fPqzvvvtOx48fV3p6uuf00bFjx5gLmz3%2B%2BOMaO3asLr74YuYiQBCwzkNxcbESEhKUnp6uxMRE3X333XK5XIqMjPQa17ZtW895cZfLpaioKK/lUVFRcjqdcrlcklTj/pGRkZxX/wlHjhzR8uXLNX/%2BfK86c%2BF7ffv2VUpKijZt2qT8/Hxt375dDz30EHPhY4cOHZIkvfXWW3ruuef0%2Buuv69ChQ5o7dy5zYaPvvvtOmzZt0m233SaJ16hAQcA6Dx06dFBhYaHeeustff3117r//vvrdD/Lshq0HN6ys7M1ZswYde/evd73ZS7Mys/P17hx4xQWFqZLLrlEM2fOVEFBgSorK3/2vsyFOT8%2BVpMnT1ZcXJzat2%2BvzMxMbd26tV73P9/lqN2aNWt01VVXyeFw1Pk%2BzEXzR8A6T0FBQeratatmzJihgoIChYaGet5Z/MjpdComJkaSFB0dXWO5y%2BVSTEyMZ8y/Lz9%2B/LjatWvXiHvRfH344Yf69NNPddddd9VYVttjzVz4VseOHeV2uxUcHMxc%2BNCFF14oyfvoRocOHWRZliorK5kLm2zcuFFpaWme27xGBQYCVj18%2BOGHGjFihKqrqz214OAfHsLevXt7fYxWknbu3Kk%2BffpIkhISErzOj7vdbu3evVt9%2BvRRp06dFBUV5bX8888/19mzZ5WQkNCYu9RsrV%2B/XkePHtWVV16p5ORkjRkzRpKUnJysHj16MBc%2BtHv3buXk5HjVioqKFBYWpiFDhjAXPtS%2BfXu1bt1ae/bs8dSKi4vVokUL5sIme/bsUXFxsVJTUz21xMRE5iIQ2HNtffNUVlZmpaSkWDk5OdapU6eso0ePWrfffrs1YcIE68iRI1a/fv2sl19%2B2Tp9%2BrT17rvvWr1797b27NljWZZlvffee9YVV1xhffrpp9apU6es5cuXW0OGDLEqKiosy7KsJUuWWDfccIP1/fffW8eOHbOmTJliZWZm2rm7TZrL5bIOHjzo%2Bfn000%2BtHj16WAcPHrSKi4uZCx86dOiQ1bdvX%2Bvpp5%2B2zpw5Y3311VdWenq6tXDhQp4XNli8eLE1bNgw6%2Buvv7aOHDliZWRkWA888ABzYZO1a9daAwYM8KoxF4GBgFVPe/futW655Rard%2B/e1q9%2B9SsrKyvL89HYf/3rX9a1115r9erVy7rqqqtqfFR6zZo11pAhQ6yEhARr/Pjx1r59%2BzzLzpw5Yy1YsMBKSkqy%2BvXrZ91zzz1WWVmZT/etOTtw4IDnaxosi7nwtX/9619WRkaG1bdvX2vAgAFWdna2dfr0ac8y5sJ3/u9j1rdvX2vWrFnWyZMnLctiLuzw1FNPWaNHj65RZy78X5BlcaUcAACASVyDBQAAYBgBCwAAwDACFgAAgGEELAAAAMMIWAAAAIYRsAAAAAwjYAEAABhGwAIAADCMgAUAAGAYAQsAAMAwAhYAAIBhBCwAAADDCFgAAACG/T84egEZ/IGaKgAAAABJRU5ErkJggg%3D%3D\"/>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common3284588059089095840\">\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">3431.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">3979.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">4708.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">3465.0</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">4856.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">4509.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">4859.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">4371.3</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">3438.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">4816.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"other\">\n", | |
| " <td class=\"fillremaining\">Other values (91)</td>\n", | |
| " <td class=\"number\">91</td>\n", | |
| " <td class=\"number\">90.1%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"extreme3284588059089095840\">\n", | |
| " <p class=\"h4\">Minimum 5 values</p>\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">3218.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">3251.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">3330.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">3365.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">3431.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " <p class=\"h4\">Maximum 5 values</p>\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">6910.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">6956.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">7386.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">7528.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">7629.0</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| "</div><div class=\"row variablerow\">\n", | |
| " <div class=\"col-md-3 namecol\">\n", | |
| " <p class=\"h4 pp-anchor\" id=\"pp_var_PublicDemand\">PublicDemand<br/>\n", | |
| " <small>Numeric</small>\n", | |
| " </p>\n", | |
| " </div><div class=\"col-md-6\">\n", | |
| " <div class=\"row\">\n", | |
| " <div class=\"col-sm-6\">\n", | |
| " <table class=\"stats \">\n", | |
| " <tr>\n", | |
| " <th>Distinct count</th>\n", | |
| " <td>101</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Unique (%)</th>\n", | |
| " <td>100.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Infinite (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Infinite (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| "\n", | |
| " </div>\n", | |
| " <div class=\"col-sm-6\">\n", | |
| " <table class=\"stats \">\n", | |
| "\n", | |
| " <tr>\n", | |
| " <th>Mean</th>\n", | |
| " <td>31779</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Minimum</th>\n", | |
| " <td>27066</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Maximum</th>\n", | |
| " <td>37209</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Zeros (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| "<div class=\"col-md-3 collapse in\" id=\"minihistogram288924505835256260\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAATRJREFUeJzt28FtwkAARUGDKClFpCfO9EQR6WnTQPQkkIw33pkzh708/UW2L2OMsQF/uh59AJjZ7egD/Cdf9%2BdLv/95fO90Ej7FgkAQCASBQBAIBIFAEAgEgUAQCAQPCnf06oPFbfNwcTYWBIIFOQGvwOzHgkAQCIRlr1jv/IH%2BhFnPtSoLAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQTvGqidcz2IsFgSAQCNNdsVyXzuMMnxxbEAjTLQhzWnXZLQgEgUBwxVrQqteld1gQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCJcxxjj6EDArCwJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBALhF/L1HQe9zDPSAAAAAElFTkSuQmCC\">\n", | |
| "\n", | |
| "</div>\n", | |
| "<div class=\"col-md-12 text-right\">\n", | |
| " <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives288924505835256260,#minihistogram288924505835256260\"\n", | |
| " aria-expanded=\"false\" aria-controls=\"collapseExample\">\n", | |
| " Toggle details\n", | |
| " </a>\n", | |
| "</div>\n", | |
| "<div class=\"row collapse col-md-12\" id=\"descriptives288924505835256260\">\n", | |
| " <ul class=\"nav nav-tabs\" role=\"tablist\">\n", | |
| " <li role=\"presentation\" class=\"active\"><a href=\"#quantiles288924505835256260\"\n", | |
| " aria-controls=\"quantiles288924505835256260\" role=\"tab\"\n", | |
| " data-toggle=\"tab\">Statistics</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#histogram288924505835256260\" aria-controls=\"histogram288924505835256260\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#common288924505835256260\" aria-controls=\"common288924505835256260\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#extreme288924505835256260\" aria-controls=\"extreme288924505835256260\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n", | |
| "\n", | |
| " </ul>\n", | |
| "\n", | |
| " <div class=\"tab-content\">\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles288924505835256260\">\n", | |
| " <div class=\"col-md-4 col-md-offset-1\">\n", | |
| " <p class=\"h4\">Quantile statistics</p>\n", | |
| " <table class=\"stats indent\">\n", | |
| " <tr>\n", | |
| " <th>Minimum</th>\n", | |
| " <td>27066</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>5-th percentile</th>\n", | |
| " <td>27946</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Q1</th>\n", | |
| " <td>30057</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Median</th>\n", | |
| " <td>31450</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Q3</th>\n", | |
| " <td>33438</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>95-th percentile</th>\n", | |
| " <td>36352</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Maximum</th>\n", | |
| " <td>37209</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Range</th>\n", | |
| " <td>10143</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Interquartile range</th>\n", | |
| " <td>3380.9</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " <div class=\"col-md-4 col-md-offset-2\">\n", | |
| " <p class=\"h4\">Descriptive statistics</p>\n", | |
| " <table class=\"stats indent\">\n", | |
| " <tr>\n", | |
| " <th>Standard deviation</th>\n", | |
| " <td>2528.8</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Coef of variation</th>\n", | |
| " <td>0.079574</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Kurtosis</th>\n", | |
| " <td>-0.65334</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Mean</th>\n", | |
| " <td>31779</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>MAD</th>\n", | |
| " <td>2068.1</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"\">\n", | |
| " <th>Skewness</th>\n", | |
| " <td>0.20374</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Sum</th>\n", | |
| " <td>3209700</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Variance</th>\n", | |
| " <td>6394800</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Memory size</th>\n", | |
| " <td>888.0 B</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram288924505835256260\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzt3XtcVXW%2B//E3sBMVBaFCJ8dbY3pUvGskmhqZTprmNWpOx5zRtEI5mk2W2ahdlHPUMY/YRTtaXirMccrItGMXRz0%2BalJLNGuy7JiIsgdBEEWF/f394a89s0GR4ouLBa/n4%2BGDh9/vXt/92R8Xi7dr7b0IMsYYAQAAwJpgpwsAAACobghYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyj9MF1BReb77TJVxxwcFBiooK04kTBfL5jNPlVBv0tXLQ18pBXysHfS2/a6%2Bt78jzcgYLlSY4OEhBQUEKDg5yupRqhb5WDvpaOehr5aCvVR8BCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAs8zhdAAA7bn9uh9MllNt7k3s6XQIAVCrOYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZTU2YG3btk1xcXGaMmVKqbnjx4/rwQcfVKdOnRQXF6cFCxbI5/M5UCUAAHCjGhmwli1bpmeeeUbNmjUrNWeM0cSJE9W4cWNt375dq1at0s6dO/XJJ584UCkAAHAjj9MFOCE0NFTr1q3Ts88%2Bq7NnzwbM/fWvf9UPP/ygNWvWqFatWqpXr57WrVvnUKUAAMCNamTAGj169CXndu3apVatWmnhwoVav3696tWrp3/913/V7373u3Kvn5WVJa/XGzDm8dRVdHT0z67ZjUJCggO%2Bwo7q0FePp%2BrVXh36WhXR18pBX6u%2BGhmwynLs2DF9/vnn6t27tz7%2B%2BGN9%2Bumnmjhxopo2bap%2B/fqVa43U1FSlpKQEjCUmJiopKakySq7ywsPrOF1CteTmvkZGhjldwiW5ua9VGX2tHPS16iJglWCMUVRUlMaNGydJ6tOnj2677Ta999575Q5YCQkJio%2BPDxjzeOoqJ6fAer1VWUhIsMLD6ygv74yKi/mQgC3Voa9V8XuhOvS1KqKvlYO%2Blp9T/6EjYJVw7bXXqn79%2BgFjjRs31hdffFHuNaKjo0tdDvR681VUVDO/CYqLfTX2tVcmN/e1Ktft5r5WZfS1ctDXqouLtyX86le/0g8//KCCgn/8DzsjI0ONGzd2sCoAAOAmBKwS4uPjFR4erv/8z//U6dOntXPnTm3ZskXDhw93ujQAAOASNfISYfv27SVJRUVFkqQtW7ZIktLT01W7dm29/PLLmjlzpm666SZFRUVp9uzZ6t69u2P1AgAAd6mRASs9Pb3M%2BVatWun111%2B/QtUAAIDqhkuEAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAltXYgLVt2zbFxcVpypQpl3xMQUGB%2Bvbtq8cee%2BwKVgYAANzO43QBTli2bJnWrVunZs2alfm4xYsX69SpU1eoKgAAUF3UyDNYoaGhlw1YX331ldLS0jRs2LArWBkAAKgOauQZrNGjR5c5b4zRrFmzNGXKFB09elT5%2Bfk/af2srCx5vd6AMY%2BnrqKjo39yrW4WEhIc8BV2VIe%2BejxVr/bq0NeqiL5WDvpa9dXIgHU5qampCgoK0vDhw5WSkvKzti%2B5XWJiopKSkmyV6Crh4XWcLqFacnNfb5u/zekSfpLPnv210yW4npv316qMvlZdBKwSsrOztWjRIr3yyisKCgr6WWskJCQoPj4%2BYMzjqaucnAIbJbpGSEiwwsPrKC/vjIqLfU6XU23Q1yuvpn3v2sT%2BWjnoa/lFRoY58rwErBKSk5M1dOhQtW7d%2BmevER0dXepyoNebr6KimvlNUFzsq7GvvTLR1yuHPlcc%2B2vloK9VFwGrhA0bNig8PFzr16%2BXJBUWFsrn8%2Bmjjz7SJ5984nB1AADADQhYJWzdujXg7ytWrNCxY8f0%2BOOPO1QRAABwmxoZsNq3by9JKioqkiRt2bJFkpSenq5GjRoFPLZevXqqU6dOqXEAAIBLqZEBKz09vdyPnTRpUiVWAgAAqiNuoAEAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZTXydxECQHV2%2B3M7nC6h3N6b3NPpEoBKwRksAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhWYwPWtm3bFBcXpylTppSae//99zVkyBB17txZAwYM0Nq1ax2oEAAAuJXH6QKcsGzZMq1bt07NmjUrNbd371498sgj%2BuMf/6i%2Bfftqx44dSkxM1PXXX69u3bo5UC0AAHCbGnkGKzQ09JIBKzc3VxMmTFC/fv3k8XjUp08ftWrVSp999pkDlQIAADeqkWewRo8efcm53r17q3fv3v6/FxUVyev1qmHDhleiNAAAUA3UyID1U8yfP19169bVwIEDy71NVlaWvF5vwJjHU1fR0dG2y6vSQkKCA77CDvp65Xk89Lqy0Nufh%2BNA1UfAugRjjObPn6%2B0tDStXLlSoaGh5d42NTVVKSkpAWOJiYlKSkqyXaYrhIfXcbqEn6XbE5ucLgFVxG3ztzldQrUVGRnmdAmu5tbja01AwLoIn8%2Bnxx9/XHv37tXrr7%2BuJk2a/KTtExISFB8fHzDm8dRVTk6BzTKrvJCQYIWH11Fe3hkVF/ucLgdAFVTTjou2cHwtP6dCPAHrIubMmaNvvvlGr7/%2Buho0aPCTt4%2BOji51OdDrzVdRUc38Jigu9tXY1w6gbBwbKobja9VFwCph165d2rBhgzZu3PizwhUAAECNDFjt27eXdOETgpK0ZcsWSVJ6err%2B9Kc/KT8/X7fcckvANt27d9fy5cuvbKEAAMCVgowxxukiagKvN9/pEq44jydYkZFhyskpcOUp7Nuf2%2BF0CUC1997knk6X4EpuP75eSddeW9%2BR5%2BXznQAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAy1wXsOLj45WSkqLMzEynSwEAALgo1wWsESNGaOPGjerXr5/GjRun999/X0VFRU6XBQAA4Oe6gJWYmKiNGzdq7dq1uuGGGzRnzhz16dNH8%2BbN06FDh5wuDwAAwH0B60ft2rXTtGnT9NFHH2n69Olau3atBg4cqLFjx2rv3r1OlwcAAGow1was8%2BfPa%2BPGjbr//vs1bdo0NWzYUI8//rjatGmjMWPG6J133nG6RAAAUEN5nC7gp/r222%2B1bt06vfXWWyooKNCAAQP06quvqmvXrv7HdO/eXbNmzdLgwYMdrBQAANRUrgtYgwYNUosWLTRhwgQNHTpUDRo0KPWYPn366MSJEw5UBwAA4MKAtXLlSt14442XfdwXX3xxBaoBAAAozXXvwWrdurUeeOABbdmyxT/2yiuv6P7771dubq6DlQEAAFzguoA1d%2B5c5efnq2XLlv6xvn37yufzKTk5udzrbNu2TXFxcZoyZUqpuY0bN2rw4MHq3Lmzhg8fru3bt1upHQAA1Ayuu0S4fft2vfPOO4qMjPSPNW/eXPPnz9cdd9xRrjWWLVumdevWqVmzZqXmDhw4oGnTpiklJUU33XSTNm/erIkTJ2rTpk1q1KiRtdcBAACqL9edwSosLFRoaGip8eDgYJ05c6Zca4SGhl4yYL355pvq06eP%2BvTpo9DQUA0ZMkStWrXShg0bKlw7AACoGVwXsLp3767k5GSdPHnSP3b8%2BHHNnj074FYNZRk9erTq169/0bn9%2B/erbdu2AWNt27ZVenr6zy8aAADUKK67RDh9%2BnT97ne/U48ePVSvXj35fD4VFBSoSZMmWrVqVYXXz83NVURERMBYRESEDh48WO41srKy5PV6A8Y8nrqKjo6ucH1uEhISHPAVAEryeDg%2B/BwcX6s%2B1wWsJk2a6N1339Vf/vIXHT58WMHBwWrRooV69eqlkJAQK89hjKnQ9qmpqUpJSQkYS0xMVFJSUoXWdavw8DpOlwCgioqMDHO6BFfj%2BFp1uS5gSVKtWrXUr1%2B/Slk7MjKy1O0ecnNzFRUVVe41EhISFB8fHzDm8dRVTk6BlRrdIiQkWOHhdZSXd0bFxT6nywFQBdW046ItHF/Lz6kQ77qA9cMPP2jBggX65ptvVFhYWGr%2Bgw8%2BqND6MTEx2rdvX8BYenq6Bg0aVO41oqOjS10O9HrzVVRUM78Jiot9Nfa1Aygbx4aK4fhadbkuYE2fPl1ZWVnq1auX6tata339u%2B66SyNHjtTHH3%2BsHj166J133tH333%2BvIUOGWH8uAABQPbkuYO3bt08ffPDBT7pkV1L79u0lSUVFRZLkvyt8enq6WrVqpfnz52vu3LnKyMhQy5Yt9dJLL%2Bnaa6%2BtePEAAKBGcF3Auvrqqyt85upyt1zo37%2B/%2BvfvX6HnAAAANZfrPt85YcIEpaSkVPiTfgAAAJXFdWew/vKXv2j37t1av369fvnLXyo4ODAjvvHGGw5VBgAAcIHrAla9evXUu3dvp8sAAAC4JNcFrLlz5zpdAgAAQJlc9x4sSfruu%2B%2B0ePFiPf744/6xPXv2OFgRAADAP7guYO3cuVNDhgzR%2B%2B%2B/r7S0NEkXbj46evToCt9kFAAAwAbXBayFCxfq97//vd555x0FBQVJuvD7CZOTk7VkyRKHqwMAAHBhwPrb3/6me%2B65R5L8AUuSfv3rX%2Bvbb791qiwAAAA/1wWs%2BvXrX/R3EGZlZalWrVoOVAQAABDIdQGrS5cumjNnjk6dOuUfO3TokKZNm6YePXo4WBkAAMAFrrtNw%2BOPP6777rtPsbGxKi4uVpcuXXTmzBndcMMNSk5Odro8AAAA9wWsRo0aKS0tTVu3btWhQ4dUu3ZttWjRQj179gx4TxYAAIBTXBewJOmqq65Sv379nC4DAADgolwXsOLj48s8U8W9sAAAgNNcF7AGDhwYELCKi4t16NAhpaen67777nOwMgAAgAtcF7AeeeSRi45v3rxZn3zyyRWuBgAAoDTX3abhUvr166d3333X6TIAAACqT8D68ssvZYxxugwAAAD3XSK8%2B%2B67S42dOXNG3377rfr37%2B9ARQAAAIFcF7CaN29e6lOEoaGhGjlypEaNGuVQVQAAAP/guoDF3doBAEBV57qA9dZbb5X7sUOHDq3ESgAAAC7OdQHriSeekM/nK/WG9qCgoICxoKAgAhYAAHCE6wLWyy%2B/rOXLl%2BuBBx5Q69atZYzR119/rWXLlunee%2B9VbGys0yUCAIAaznUBKzk5WUuXLlXDhg39Y926dVOTJk00duxYpaWlOVgdAACAC%2B%2BD9f333ysiIqLUeHh4uDIyMqw8x5dffqnRo0erW7du6tmzpx555BGdOHHCytoAAKD6c13Aaty4sZKTk5WTk%2BMfy8vL04IFC9S0adMKr19UVKTx48erU6dO%2Bt///V%2BlpaXpxIkTmjVrVoXXBgAANYPrLhFOnz5dU6dOVWpqqsLCwhQcHKxTp06pdu3aWrJkSYXX93q98nq9uvPOO1WrVi3VqlVLt912m5YvX26hegAAUBO4LmD16tVLH3/8sbZu3apjx47JGKOGDRvq5ptvVv369Su8fsOGDdWmTRulpqbq3//931VYWKj3339fffv2rXjxAACgRnBdwJKkOnXq6NZbb9WxY8fUpEkTq2sHBwdr8eLFGjNmjF599VVJ0o033qipU6eWe42srCx5vd6AMY%2BnrqKjo63WWtWFhAQHfAWAkjwejg8/B8fXqi/IuOw3JBcWFmrmzJl69913JUn79u1TXl6eHn74Yf3xj39UeHh4hdY/d%2B6chg0bpr59%2B%2BqBBx7Q6dOnNXv2bAUHByslJaVcayxevLjUYxMTE5WUlFSh2tyu2xObnC4BQBXz2bO/droEoFK47gzWvHnzdODAAc2fP1%2BPPvqof7y4uFjz58/XU089VaH1d%2B7cqSNHjujhhx9WSEiI6tevr6SkJN15553Kzc1VgwYNLrtGQkKC4uPjA8Y8nrrKySmoUG1uExISrPDwOsrLO6PiYp/T5QCogmracdEWjq/lFxkZ5sjzui5gbd68WatXr1bz5s01bdo0SRdu0TB37lwNHTq0wgGruLi41J3iz50795PWiI6OLnU50OvNV1FRzfwmKC721djXDqBsHBsqhuNr1eW6i7cFBQVq3rx5qfGoqCidPn26wut37txZdevW1eLFi3XmzBnl5OTohRdeUPfu3ct19goAAMB1Aatp06b65JNPJCngLNOmTZt03XXXVXj9yMhI/fd//7d2796t3r1764477lDt2rW1YMGCCq8NAABqBtddIvzNb36jSZMmacSIEfL5fFqxYoX27dunzZs364knnrDyHDExMVq1apWVtQAAQM3juoCVkJAgj8ej1atXKyQkRC%2B%2B%2BKJatGih%2BfPn69e/5tMoAADAea4LWCdOnNCIESM0YsQIp0sBAAC4KNe9B%2BvWW2%2BVy27dBQAAahjXBazY2Fi99957TpcBAABwSa67RPiLX/xCzz77rJYuXaqmTZvqqquuCpjn034AAMBprgtYBw8e1PXXXy9JysnJcbgaAACA0lwTsKZMmaKFCxcG3D5hyZIlSkxMdLAqAACA0lzzHqwPP/yw1NjSpUsdqAQAAKBsrglYF/vkIJ8mBAAAVZFrAlZQUFC5xgAAAJzmmoAFAADgFgQsAAAAy1zzKcLz589r6tSplx2raffBuv25HU6XAACootz0M%2BK9yT2dLsEq1wSsrl27Kisr67JjAAAATnNNwPrn%2B18BAABUZbwHCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBKxLeOGFF9SrVy916tRJY8aM0ZEjR5wuCQAAuAQB6yLWrFmjDRs2aOXKldq%2BfbtatmypV155xemyAACAS7jmlz1fScuXL9e0adN0/fXXS5JmzJjhcEUAAMBNCFglHD9%2BXEeOHNHJkyc1cOBAZWdnKzY2VrNmzVJUVFS51sjKypLX6w0Y83jqKjo6ujJKBgDX8ni4kPJzhIQEB3ytDqrbvkDAKuHYsWOSpE2bNmnFihUyxigpKUkzZszQ888/X641UlNTlZKSEjCWmJiopKQk6/UCgJtFRoY5XcJP0u2JTU6XUG25bV%2B4HAJWCcYYSdK4cePUsGFDSdKkSZN0//336%2BzZswoNDb3sGgkJCYqPjw8Y83jqKienwH7BAOBiHBfxo8raF5wKbgSsEq655hpJUnh4uH%2BscePGMsYoOztb11133WXXiI6OLnU50OvNV1GRz26xAOByHBfxo%2Bq2L1SvC54WNGrUSPXq1dOBAwf8YxkZGbrqqqt4DxUAACgXAlYJHo9HI0eO1Isvvqj/%2B7//U3Z2tpYsWaLBgwfL4%2BGEHwAAuDwSw0VMnTpV586d06hRo3T%2B/HkNGDCAWzUAAIByI2BdRK1atTRz5kzNnDnT6VIAAIALcYkQAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMv4XYQAAMfc/twOp0sAKgVnsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgLWZcyZM0etW7d2ugwAAOAiBKwyHDhwQG%2B//bbTZQAAAJchYF2Cz%2BfTzJkzNWbMGKdLAQAALuNxuoCq6o033lBoaKgGDx6s55577idtm5WVJa/XGzDm8dRVdHS0zRIBAKg2PJ7qdc6HgHURf//737V48WKtWrXqZ22fmpqqlJSUgLHExEQlJSXZKA8AgGonMjLM6RKsImBdxNy5czV8%2BHC1bNlSR44c%2BcnbJyQkKD4%2BPmDM46mrnJwCWyUCAFCtVNbPSKeCGwGrhJ07d2rPnj1KS0v72WtER0eXuhzo9earqMhX0fIAAKiWqtvPSAJWCRs2bFB2drZuueUWSZIxRpIUGxurP/zhDxo0aJCT5QEAABcIMj8mCEiSTp48qTNnzvj/fuzYMSUkJGjr1q2KiIhQnTp1fta6Xm%2B%2BrRID3P7cjkpZFwCAK%2Bm9yT0rZd1rr61fKeteDmewSoiIiFBERIT/70VFRZKkRo0aOVUSAABwmer1mchK8Mtf/lJff/2102UAAAAXIWABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsC6iIyMDCUmJio2NlZxcXF67LHHlJeX53RZAADAJQhYF/HAAw8oPDxcH374odavX69vvvlG//Ef/%2BF0WQAAwCUIWCXk5eUpJiZGU6dOVVhYmBo1aqRhw4bps88%2Bc7o0AADgEh6nC6hqwsPDNXfu3ICxzMxMRUdHl3uNrKwseb3egDGPp%2B5PWgMAgJrE46le53wIWJeRnp6u1atX64UXXij3NqmpqUpJSQkYS0xMVFJSku3yAACoFiIjw5wuwSoCVhl27dqlBx98UFOnTlVcXFy5t0tISFB8fHzAmMdTVzk5BbZLBACgWqisn5FOBTcC1iV8%2BOGH%2Bv3vf68nn3xSQ4cO/UnbRkdHl7oc6PXmq6jIZ7NEAACqjer2M5KAdRG7d%2B/WtGnTtGjRIvXq1cvpcgAAgMtUr3eUWVBUVKQZM2bokUceIVwBAICfhYBVwueff65vv/1WzzzzjNq3bx/wJyMjw%2BnyAACAC3CJsIRu3brp66%2B/droMAADgYpzBAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyAdREZGRkaP368YmNjdcstt2jevHny%2BXxOlwUAAFzC43QBVdGkSZPUrl07bdmyRdnZ2ZowYYKuueYa/fa3v3W6NAAA4AKcwSohPT1dX331lR555BHVr19fzZs315gxY5Samup0aQAAwCU4g1XC/v371bhxY0VERPjH2rVrp0OHDunUqVOqV6/eZdfIysqS1%2BsNGPN46io6Otp6vQAAVAceT/U650PAKiE3N1fh4eEBYz%2BGrZycnHIFrNTUVKWkpASMTZw4UZMmTbJX6P/32bO/tr6mLVlZWUpNTVVCQgLh0iL6Wjnoa%2BWgr5WDvlZ91SsuWmKMqdD2CQkJWr9%2BfcCfhIQES9W5h9frVUpKSqmzeagY%2Blo56GvloK%2BVg75WfZzBKiEqKkq5ubkBY7m5uQoKClJUVFS51oiOjuZ/FAAA1GCcwSohJiZGmZmZOnHihH8sPT1dLVu2VFhYmIOVAQAAtyBgldC2bVu1b99eCxYs0KlTp/Ttt99qxYoVuueee5wuDQAAuETIrFmzZjldRFVz8803Ky0tTU8//bTeffddjRw5UmPHjlVQUJDTpblOWFiYbrzxRs7%2BWUZfKwd9rRz0tXLQ16otyFT0Hd0AAAAIwCVCAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWLiojIwMJSYmKjY2VnFxcXrssceUl5cnSdq5c6dGjRqlLl26qHfv3po9e7bOnDnj33bjxo0aPHiwOnfurOHDh2v79u3%2BOZ/Pp4ULF%2BrWW29V9%2B7dNXbsWP3www/%2B%2BdzcXE2ePFlxcXHq1auXnnjiCRUWFl65F17JvvrqK913333q2rWr4uLiNHnyZHm9XkkX%2Bjpy5Eh16dJFgwYN0oYNGwK2XblypQYMGKAuXbronnvu0b59%2B/xzZ8%2Be1R/%2B8Af17t1bsbGxSkpKUk5Ojn8%2BIyND48ePV2xsrG655RbNmzdPPp/vyrzoK6Csvn766adKSEhQly5dFB8fr%2Beffz5gW/bXSyurrz/y%2BXwaPny4/u3f/i1gnP310srq66lTpzRt2jR16dJF3bt315NPPhmwT9FXFzHARdxxxx3mscceM6dOnTKZmZlm%2BPDhZvr06SY7O9t06tTJrFmzxpw/f95kZmaawYMHm%2BTkZGOMMV9%2B%2BaWJiYkxH3/8sSksLDRvv/226dixo8nMzDSO/OT6AAAJmElEQVTGGLNy5Upzyy23mIMHD5r8/Hzz1FNPmcGDBxufz2eMMWbixIlm/PjxJjs72xw7dswkJCSYp59%2B2rE%2B2HT27FnTo0cPk5KSYs6ePWuys7PNvffeax566CFz/Phx06lTJ/Pmm2%2BawsJCs2PHDtOhQwezd%2B9eY4wxH3zwgenWrZv5/PPPzZkzZ8xLL71kevbsaQoKCowxxsydO9cMHz7cHD161OTk5JiJEyeaCRMm%2BJ972LBhZsaMGSYvL88cOnTI9O/f3yxfvtyRPthWVl8zMjJMp06dzGuvvWbOnTtnvvjiC9O1a1fz1ltvGWPYX8tSVl//2cqVK03Xrl3Nvffe6x9jf720y/V10qRJZtKkSebEiRMmMzPT/Pa3v/Xvr/TVXQhYKOXkyZPmscceM16v1z%2B2atUq079/f/PXv/7VtGrVypw5c8Y/N2/ePHPfffcZY4yZPXu2SUxMDFhv1KhR5qWXXjLGGDNo0CDz6quv%2Bufy8/NN27ZtzZ49e4zX6zX/8i//Yg4cOOCf37p1q%2BnUqZM5d%2B5cZbzUKyo3N9esXbvWnD9/3j/26quvmttuu828/PLLZujQoQGPnzx5snnyySeNMcaMHz/ezJkzxz9XXFxsevbsadLS0sz58%2BdN165dzZYtW/zzBw8eNK1btzbHjh0ze/fuNW3atDG5ubn%2B%2Bddee80MGDCgsl7qFVVWX7/44gvzzDPPBDx%2B0qRJZsaMGcYY9teylNXXHx0/ftz06NHDLFy4MCBgsb9eWll9PXLkiGnXrl3Asfef0Vd34RIhSgkPD9fcuXN1zTXX%2BMcyMzMVHR2tNm3aKDo6Wq%2B99prOnj2rI0eOaOvWrerbt68kaf/%2B/Wrbtm3Aem3btlV6eroKCwt18ODBgPl69eqpWbNmSk9P14EDBxQSEqLWrVv759u1a6fTp0/ru%2B%2B%2Bq9wXfQVERERo1KhR8ng8kqTvvvtOf/7zn3X77bdfsm8/nv4vOR8cHKw2bdooPT1dhw8fVn5%2Bvtq1a%2Bef/9WvfqXatWtr//792r9/vxo3bqyIiAj/fLt27XTo0CGdOnWqMl/yFVFWXzt06KAnnngi4PGZmZlq2LChJPbXspTV1x/NmTNHd999t5o2bRqwLfvrpZXV1127dukXv/iF3n77bfXq1Us333yz5s%2Bfr6KiIkn01W0IWLis9PR0rV69Wg8%2B%2BKDCwsK0ZMkSLV26VB06dNCtt96qG264Qffdd5%2BkC%2B9J%2BedvYOnCASUnJ0cnT56UMeaS87m5uapXr56CgoIC5iQFvI/A7TIyMhQTE6OBAweqffv2SkpKUm5ursLDwwMe16BBA//rLquvubm5klRq%2B/DwcP98ybma0teSVq1apcOHD%2Bvuu%2B%2BWxP5aHpfq67Zt27R//35NmDCh1Dbsr5d3sb4eO3ZMx48fV2ZmpjZv3qyUlBStW7dOq1evlkRf3YaAhTLt2rVLY8eO1dSpUxUXF6cTJ07ooYce0kMPPaQ9e/bof/7nf3T06FElJyf7tzHGlLlmWfOX27Y6aNy4sdLT07Vp0yZ9//33evTRR8u1HX0t2%2BX6unr1ai1atEjPP/98wNlZ%2Blq2i/X17NmzeuqppzRjxgyFhoZedDv6WrZL7a/FxcV69NFHFRYWpo4dO2rUqFHatGmTfzv66h4ELFzShx9%2BqPHjx2v69OkaPXq0JOm9995TWFiYRo8erbp166pp06YaN26c3nzzTUlSZGSk/39SP8rNzVVUVJQaNGig4ODgi85fffXVioqK0qlTp1RcXBwwJ0lXX311Zb7UKy4oKEjNmzfXlClTlJaWJo/HU6ovOTk5ioqKklR2X398TMn5kydP%2Bvt6sW2DgoL821YXJft64sQJSdLChQv14osvauXKleratav/8eyv5VOyr3PmzFGbNm3Up0%2Bfiz6e/bV8SvY1ODhYoaGhqlWrlv8xjRs39n/CkL66CwELF7V7925NmzZNixYt0tChQ/3jPp%2Bv1Md6z507579MEhMTE/CxYenCJcaOHTsqNDRUN9xwg/bv3%2B%2Bfy8vL0%2BHDh9WhQwe1adNGxhh99dVXAduGh4erRYsWlfEyr6idO3dqwIABAf0LDr7wLdihQ4dSfdu3b586duwo6UJf/7lvxcXF%2BvLLL9WxY0c1adJEERERAfN/%2B9vfdO7cOcXExCgmJkaZmZn%2BsCFd6GvLli0VFhZWKa/1Siqrr1dddZVWrFihtLQ0paamlnq/FfvrpZXV123btmnHjh2KjY1VbGysnn76ae3evVuxsbHKzMxkfy3D5Y4DBQUFAbcCycjI0HXXXSeJ44DrXOE31cMFzp8/b26//XbzxhtvlJr77rvvTExMjFmzZo05e/asyczMNHfddZd59NFHjTHGfP3116Z9%2B/bmo48%2BMoWFhebNN980nTt3NllZWcaYC59a6du3r/9j708%2B%2BaQZMWKEf/3JkyebcePGmezsbJOZmWlGjBjhvwWE2%2BXl5Zm4uDiTnJxsTp8%2BbbKzs83YsWPNb37zG/P3v//ddO7c2axdu9YUFhaajz/%2B2HTo0MH/CbWtW7earl27mj179pjTp0%2BbxYsXmz59%2Bvg/zTlv3jwzbNgwc/ToUXPixAkzYcIEM2nSJP9zjxo1ykyfPt3k5%2BebgwcPmvj4eLN69WpH%2BmBbWX09fPiw6dSpk/n6668vui3766WV1desrCyTmZnp/7NixQpz1113mczMTFNUVMT%2BWoay%2Burz%2BcywYcPMhAkTzMmTJ82XX35pbrrpJvPnP//ZGMNxwG0IWCjlx1sxxMTElPpz5MgRs337djNy5EjTuXNnc/PNN5snn3zS5OXl%2BbffvHmz6d%2B/v2nXrp258847zaeffuqf8/l8ZtGiRaZHjx6mQ4cO5v777/ffc8iYCwefKVOmmE6dOpnu3bub2bNnm7Nnz17R11%2BZvvrqK3PvvfeaDh06mJtuuslMnjzZHDt2zBhjzKeffmqGDBli2rVrZ/r37282b94csO2aNWtMnz59TExMjLnnnnsCQsPZs2fNrFmzTPfu3U3nzp3Nww8/HPBvkpmZacaNG2c6dOhg4uLizH/913/57%2BVUHVyqrykpKaZ169al9uP%2B/fv7t2V/vbSy9td/9qc//SngNg3GsL%2BWpay%2BHj161IwbN8507NjR9OjRwyxdujTgtdNX9wgyhne9AQAA2MR7sAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAsv8HL9FC9oVoiWYAAAAASUVORK5CYII%3D\"/>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common288924505835256260\">\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">30257.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">35004.3</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">34145.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">33332.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">31449.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">32064.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">29436.2</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">35954.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">28690.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">36678.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"other\">\n", | |
| " <td class=\"fillremaining\">Other values (91)</td>\n", | |
| " <td class=\"number\">91</td>\n", | |
| " <td class=\"number\">90.1%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"extreme288924505835256260\">\n", | |
| " <p class=\"h4\">Minimum 5 values</p>\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">27065.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">27114.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">27119.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">27399.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">27641.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " <p class=\"h4\">Maximum 5 values</p>\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">36388.6</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">36429.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">36494.6</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">36678.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">37208.9</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| "</div><div class=\"row variablerow\">\n", | |
| " <div class=\"col-md-3 namecol\">\n", | |
| " <p class=\"h4 pp-anchor\" id=\"pp_var_PublicInvestment\">PublicInvestment<br/>\n", | |
| " <small>Numeric</small>\n", | |
| " </p>\n", | |
| " </div><div class=\"col-md-6\">\n", | |
| " <div class=\"row\">\n", | |
| " <div class=\"col-sm-6\">\n", | |
| " <table class=\"stats \">\n", | |
| " <tr>\n", | |
| " <th>Distinct count</th>\n", | |
| " <td>101</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Unique (%)</th>\n", | |
| " <td>100.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Infinite (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Infinite (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| "\n", | |
| " </div>\n", | |
| " <div class=\"col-sm-6\">\n", | |
| " <table class=\"stats \">\n", | |
| "\n", | |
| " <tr>\n", | |
| " <th>Mean</th>\n", | |
| " <td>8178.4</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Minimum</th>\n", | |
| " <td>4866.1</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Maximum</th>\n", | |
| " <td>14321</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Zeros (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| "<div class=\"col-md-3 collapse in\" id=\"minihistogram1876930948997121276\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAATJJREFUeJzt3Mtpw0AUQFHLpKQU4Z68Tk8pIj1NGggXyyA0GZ2zN8zm8piPvI0xxg340/3sBcDMPs5ewFk%2Bn9%2B7f/Pz9ThgJczMBIEgEAgCgSAQCAKBIBAIAoEw3T2I%2BwlmYoJAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAmO4178z2vjT2yvj/M0EgCASCQCAIBMISm/R3PtNdicOD45ggEAQCQSAQBAJBIBCWOMWa1dVP11ZggkAQCASBQLAH4SVX/VNxEwSCQCAIBII9CIdZYd9igkAwQS7IDf/rTBAIAoEgEAjbGGOcvQiYlQkCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQC4RcB7R7SjiTpUgAAAABJRU5ErkJggg%3D%3D\">\n", | |
| "\n", | |
| "</div>\n", | |
| "<div class=\"col-md-12 text-right\">\n", | |
| " <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives1876930948997121276,#minihistogram1876930948997121276\"\n", | |
| " aria-expanded=\"false\" aria-controls=\"collapseExample\">\n", | |
| " Toggle details\n", | |
| " </a>\n", | |
| "</div>\n", | |
| "<div class=\"row collapse col-md-12\" id=\"descriptives1876930948997121276\">\n", | |
| " <ul class=\"nav nav-tabs\" role=\"tablist\">\n", | |
| " <li role=\"presentation\" class=\"active\"><a href=\"#quantiles1876930948997121276\"\n", | |
| " aria-controls=\"quantiles1876930948997121276\" role=\"tab\"\n", | |
| " data-toggle=\"tab\">Statistics</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#histogram1876930948997121276\" aria-controls=\"histogram1876930948997121276\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#common1876930948997121276\" aria-controls=\"common1876930948997121276\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n", | |
| " <li role=\"presentation\"><a href=\"#extreme1876930948997121276\" aria-controls=\"extreme1876930948997121276\"\n", | |
| " role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n", | |
| "\n", | |
| " </ul>\n", | |
| "\n", | |
| " <div class=\"tab-content\">\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles1876930948997121276\">\n", | |
| " <div class=\"col-md-4 col-md-offset-1\">\n", | |
| " <p class=\"h4\">Quantile statistics</p>\n", | |
| " <table class=\"stats indent\">\n", | |
| " <tr>\n", | |
| " <th>Minimum</th>\n", | |
| " <td>4866.1</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>5-th percentile</th>\n", | |
| " <td>5019.3</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Q1</th>\n", | |
| " <td>6373.4</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Median</th>\n", | |
| " <td>7618.8</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Q3</th>\n", | |
| " <td>9672.2</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>95-th percentile</th>\n", | |
| " <td>13070</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Maximum</th>\n", | |
| " <td>14321</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Range</th>\n", | |
| " <td>9455.2</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Interquartile range</th>\n", | |
| " <td>3298.8</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " <div class=\"col-md-4 col-md-offset-2\">\n", | |
| " <p class=\"h4\">Descriptive statistics</p>\n", | |
| " <table class=\"stats indent\">\n", | |
| " <tr>\n", | |
| " <th>Standard deviation</th>\n", | |
| " <td>2400.5</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Coef of variation</th>\n", | |
| " <td>0.29352</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Kurtosis</th>\n", | |
| " <td>-0.22089</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Mean</th>\n", | |
| " <td>8178.4</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>MAD</th>\n", | |
| " <td>1935.8</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"\">\n", | |
| " <th>Skewness</th>\n", | |
| " <td>0.73863</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Sum</th>\n", | |
| " <td>826020</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Variance</th>\n", | |
| " <td>5762600</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Memory size</th>\n", | |
| " <td>888.0 B</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram1876930948997121276\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzt3Xt0VOW9xvEnyQhKSIBogy2i0EPlkuFOjIQoMWBAOSIoEjjHQ7VagQYQBI03uqAo4AEOImFF0GK9N5XFEkS5qCwitbY9aNEBUioRqtJgUsgYkiaQy3v%2B4Dg6JEAkb2ZnZ76ftbKy8r579vz2j53wzN579kQYY4wAAABgTaTTBQAAALQ0BCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWOZxugCnHD58WAsXLtSuXbsUFRWla6%2B9Vg8//LBKS0s1bNgwtWrVKmj5mTNn6q677nKoWgAA4CZhG7CmTJkir9er7du36/jx48rMzNQTTzyhqVOnSpJ8Pp/DFQIAALcKy4BVWloqr9er2bNnKzo6WtHR0Ro7dqxefPHFJnvO4uLjTbbuliIyMkJxcdE6dqxctbXG6XJaPPodevQ8tOh3aDXXfv/gBzGOPG9YXoMVGxurRYsW6ZJLLgmMFRYWKj4%2BPvDzAw88oJSUFF199dVatmyZqqqqnCg1rERGRigiIkKRkRFOlxIW6Hfo0fPQot%2BhRb%2BDheURrNP5fD699NJLysnJUatWrdS/f39df/31evzxx5Wfn6/p06fL4/Ho3nvvbdD6ioqKVFxcHDTm8bQJCnCoKyoqMug7mhb9Dj16Hlr0O7Tod7AIY0zzOY7ngA8//FBTp07VtGnTNGnSpHqXeeWVV7R69Wrl5eU1aJ0rV65UdnZ20FhmZqZmzJjR6HoBAEDzF9ZHsLZv3677779fc%2BfO1ZgxY864XKdOnfTPf/5TxhhFRJz70GdGRobS0tKCxjyeNiopKW90zS1ZVFSkYmMvUmlphWpqap0up8Wj36FHz0OLfodWc%2B13hw7Rjjxv2Aasjz76SFlZWVqxYoVSUlIC4x988IF2794deDehJH322Wfq1KlTg8KVJMXHx9c5HVhcfFzV1c1nh2vOampq6VUI0e/Qo%2BehRb9Di36fEpYnSqurq/Xoo49qzpw5QeFKkmJiYrRq1Spt2LBBVVVV8vl8%2BvWvf62JEyc6VC0AAHCbsLwGa9euXfrP//zPOjcTlaQtW7Zo3759ys7O1qFDhxQTE6P/%2Bq//0s9//nNFRp5/HuU2Defm8USqQ4dolZSU8%2BonBOh36NHz0KLfodVc%2B%2B3UbRrC8hThoEGDtH///jPOd%2BrUSddff30IKwIAAC1JWJ4iBAAAaEoELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALAsLG/TADTEDU%2B%2B73QJ38vmmUOcLgEA8P84ggUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwL24B1%2BPBhZWZmKikpScnJyXrwwQdVWloqScrPz9ftt9%2BugQMHKj09XWvXrnW4WgAA4CZhG7CmTJmi2NhYbd%2B%2BXevXr9enn36qJ554QpWVlZo8ebKuvvpq7dy5U8uXL9fq1au1bds2p0sGAAAuEZYBq7S0VF6vV7Nnz1Z0dLQuvfRSjR07Vrt27dKOHTtUVVWlqVOnqk2bNkpISNBtt92m3Nxcp8sGAAAu4XG6ACfExsZq0aJFQWOFhYWKj4/X3r171b17d0VFRQXmevXqpddee63B6y8qKlJxcXHQmMfTRvHx8Y0rvIWLiooM%2Bo7vx%2BP5fn2j36FHz0OLfocW/Q4WlgHrdD6fTy%2B99JJycnK0efNmxcbGBs23b99efr9ftbW1iow8946Tm5ur7OzsoLHMzEzNmDHDat2SNOiRLdbX2VR2PT6yQcvFxl7UxJW0TB06RJ/X4%2Bh36NHz0KLfoUW/Twn7gPXhhx9q6tSpmj17tpKTk7V58%2BZ6l4uIiGjwOjMyMpSWlhY05vG0UUlJeaNqdbtzbX9UVKRiYy9SaWmFampqQ1RVy/F99y/6HXr0PLTod2g1136f74vPxgrrgLV9%2B3bdf//9mjt3rsaMGSNJiouL06FDh4KW8/v9at%2B%2BfYOOXklSfHx8ndOBxcXHVV3dfHY4JzR0%2B2tqasO%2BV%2BfjfHtGv0OPnocW/Q4t%2Bn1K2J4o/eijj5SVlaUVK1YEwpUkeb1e7d%2B/X9XV1YExn8%2Bnvn37OlEmAABwobAMWNXV1Xr00Uc1Z84cpaSkBM0NHTpUbdu2VU5OjioqKvTxxx9r3bp1mjhxokPVAgAAtwnLgLV7924VFBToscceU%2B/evYO%2BiouL9fTTT%2BsPf/iDrrrqKs2cOVOzZs1Samqq02UDAACXCMtrsAYNGqT9%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%2BfrzFjxmjcuHHq2rVro58jLi5OXbp00X333adu3brp7bff1gMPPKD4%2BHgNHjy4QesoKipScXFx0JjH00bx8fGNrs/NPJ6z5/moqMig7/h%2BztXf09Hv0KPnoUW/Q4t%2BB3NVwPpGQkKCEhIS9MADD%2Bitt97SvHnztHbtWiUnJ%2Bvee%2B9Vnz59znvdqampSk1NDfw8atQovf3221q/fn2DA1Zubq6ys7ODxjIzMzVjxozzrqsl6NAhukHLxcZe1MSVtEwN7e/p6Hfo0fPQot%2BhRb9PcWXAqqqqCoSeP/7xj%2BrSpYumT5%2BuoqIi3XHHHZo/f75uuukma8/XqVMn7dmzp8HLZ2RkKC0tLWjM42mjkpJyazW50bm2PyoqUrGxF6m0tEI1NbUhqqrl%2BL77F/0OPXoeWvQ7tJprv8/3xWdjuSpgFRQUaN26dXr99ddVXl6uESNG6Pnnn9fAgQMDyyQmJmrevHnnHbBeffVVtWvXTjfeeGPQ83bu3LnB64iPj69zOrC4%2BLiqq5vPDueEhm5/TU1t2PfqfJxvz%2Bh36NHz0KLfoUW/T3FVwBo1apS6du2qyZMna8yYMWrfvn2dZYYOHapjx46d93OcPHlSCxYsUOfOndWjRw9t3bpV7733nn73u981pnQAABBGXBWwXnjhBV111VXnXO7jjz8%2B63zv3r0lKfAOxHfeeUeS5PP5NGnSJJWXl%2Bvee%2B9VcXGxLrvsMq1atUper7eR1QMAgHDhqoDVvXt3TZkyRePGjdPw4cMlSb/5zW/0/vvva8mSJfUe0aqPz%2Bc741xERIR%2B8Ytf6Be/%2BIWVmgEAQPhx1XspFy1apOPHj6tbt26BsdTUVNXW1mrx4sUOVgYAAPAtVx3B%2Bv3vf6833nhDHTp0CIx16dJFS5cu1b//%2B787WBkAAMC3XHUEq7KyUq1bt64zHhkZqYqKCgcqAgAAqMtVASsxMVGLFy/W119/HRj76quvNH/%2B/KBbNQAAADjJVacIH374Yf3sZz/T4MGD1bZtW9XW1qq8vFydO3fWiy%2B%2B6HR5AAAAklwWsDp37qw333xT7733nj7//HNFRkaqa9euSklJUVRUlNPlAQAASHJZwJKkVq1aBW7RAAAA0By5KmB98cUXWrZsmT799FNVVlbWmX/33XcdqAoAACCYqwLWww8/rKKiIqWkpKhNmzZOlwMAAFAvVwWsPXv26N1331VcXJzTpQAAAJyRq27TcPHFF3PkCgAANHuuCliTJ09Wdna2jDFOlwIAAHBGrjpF%2BN577%2Bmjjz7S%2BvXrddlllykyMjgf/va3v3WoMgAAgG%2B5KmC1bdtW1157rdNlAAAAnJWrAtaiRYucLgEAAOCcXHUNliR99tlnWrlypR566KHA2F/%2B8hcHKwIAAAjmqoD1wQcfaPTo0dq2bZs2bdok6dTNRydNmsRNRgEAQLPhqoC1fPly3X///XrjjTcUEREh6dTnEy5evFirVq1yuDoAAIBTXBWw/va3v2nixImSFAhYkjRy5EgVFBQ4VRYAAEAQV13kHhMTo8rKSrVq1SpovKioqM4YEG5uePJ9p0tosM0zhzhdAgA0KVcdwRowYIAWLlyosrKywNjBgweVlZWlwYMHO1gZAADAt1x1BOuhhx7ST3/6UyUlJammpkYDBgxQRUWFfvKTn2jx4sVOlwcAACDJZQHr0ksv1aZNm5SXl6eDBw/qwgsvVNeuXTVkyJCga7IAAACc5KqAJUkXXHCBhg8f7nQZAAAAZ%2BSqgJWWlnbWI1XcCwsAADQHrgpYN954Y1DAqqmp0cGDB%2BXz%2BfTTn/7UwcoAAAC%2B5aqANWfOnHrHt27dqj/96U8hrgYAAKB%2BrrpNw5kMHz5cb775ptNlAAAASGohAWvfvn0yxjhdBgAAgCSXnSKcMGFCnbGKigoVFBQoPT3dgYoAAADqclXA6tKlS513EbZu3Vrjxo3Tbbfd5lBVAAAAwVwVsLhbOwAAcANXBazXX3%2B9wcuOGTOmCSsBAAA4M1cFrEceeUS1tbV1LmiPiIgIGouIiCBgAQAAx7gqYD377LNau3atpkyZou7du8sYo/379%2BuZZ57R7bffrqSkJKdLBAAAcFfAWrx4sdasWaOOHTsGxgYNGqTOnTvrrrvu0qZNmxysDgAA4BRX3Qfr0KFDateuXZ3x2NhYHT582IGKAAAA6nJVwOrUqZMWL16skpKSwFhpaamWLVumyy%2B/3MHKAAAAvuWqU4QPP/ywZs%2BerdzcXEVHRysyMlJlZWW68MILtWrVKqfLAwAAkOSygJWSkqIdO3YoLy9PR44ckTFGHTt21DXXXKOYmBinywMAAJDksoAlSRdddJGGDRumI0eOqHPnzk6XAwAAUIerrsGqrKxUVlaW%2BvfvrxtuuEHSqWuw7r77bpWWljpcHQAAwCmuClhLlixRfn6%2Bli5dqsjIb0uvqanR0qVLHawMAADgW64KWFu3btVTTz2lkSNHBj70OTY2VosWLdK2bdscrg4AAOAUVwWs8vJydenSpc54XFyc/vWvf4W%2BIAAAgHq4KmBdfvnl%2BtOf/iRJQZ89uGXLFv3oRz9yqiwAAIAgrnoX4X/8x39o%2BvTpuvXWW1VbW6vnnntOe/bs0datW/XII484XR4AAIAklwWsjIwMeTwevfTSS4qKitLTTz%2Btrl27aunSpRo5cqTT5QEAAEhyWcA6duyYbr31Vt16661OlwIAAHBGrroGa9iwYUHXXgEAADRHrgpYSUlJ2rx5s9NlAAAAnJWrThH%2B8Ic/1OOPP641a9bo8ssv1wUXXBA0v2zZMocqAwAA%2BJarAtaBAwf04x//WJJUUlLicDUAAAD1c0XAmjVrlpYvX64XX3wxMLZq1SplZmae9zp37typrKwsJSUlafny5UFzb731lnJycvTll1%2Bqa9euuu%2B%2B%2B5SSknLezwUAAMKLK67B2r59e52xNWvWnPf6nnnmGT322GO64oor6szl5%2BcrKytLc%2BbM0R//%2BEfdcccdmjZtmo4cOXLezwcAAMKLKwJWfe8cbMy7CVu3bq1169bVG7Bee%2B01DR06VEOHDlXr1q01evRoXXnlldq4ceN5Px8AAAgvrjhF%2BM0HO59rrKEmTZp0xrm9e/dq6NChQWO9evWSz%2Bdr8PqLiopUXFwcNObxtFF8fPz3K7SF8XjOnuejoiKDvqPlOte%2B0FKxj4cW/Q4t%2Bh3MFQErlPx%2Bv9q1axc01q5dOx04cKDB68jNzVV2dnbQWGZmpmbMmGGlRre6fulOp0tAM9GhQ7TTJTgqNvaiJl3/oEe2NOn6bdr1eNN/CkdT9xvB6PcpBKx6NPZmphkZGUpLSwsa83jaqKSkvFHrBVqKcP1diIqKVGzsRSotrVBNTa3T5TQLTbkv0O/Qaq79duoFnSsCVlVVlWbPnn3OMRv3werQoYP8fn/QmN/vV1xcXIPXER8fX%2Bd0YHHxcVVXN58dDnBSuP8u1NTUhn0PvhGKPtDv0KLfp7giYA0cOFBFRUXnHLPB6/Vqz549QWM%2Bn0%2BjRo2y/lwAAKBlckXA%2Bu79r5ra%2BPHjNW7cOO3YsUODBw/WG2%2B8oUOHDmn06NEhqwEAALibKwKWbb1795YkVVdXS5LeeecdSaeOVF155ZVaunSpFi1apMOHD6tbt25avXq1fvCDHzhWLwAAcJewDFjnuuVCenq60tPTQ1QNAABoabhZBQAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGCZx%2BkCAISfG5583%2BkSAKBJcQQLAADAMgIWAACAZQQsAAAAywhYAAAAlhGwAAAALCNgAQAAWEbAAgAAsIyABQAAYBkBCwAAwDICFgAAgGUELAAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWeZwuoDnq3r27LrjgAkVERATGxo8fr7lz5zpYFQAAcAsC1hls2bJFl112mdNlAAAAF%2BIUIQAAgGUErDNYtmyZUlNTNWjQIM2dO1fl5eVOlwQAAFyCU4T16Nevn5KTk/XEE0/oiy%2B%2B0MyZMzV//nz993//d4MeX1RUpOLi4qAxj6eN4uPjm6JcAHAtj6fpXudHRUUGfUfTot/BIowxxukimru8vDxNnTpVu3fvVqtWrc65/MqVK5WdnR00lpmZqRkzZlivbdAjW6yvEwBCZdfjI50u4Xtx299ct/W3JeEIVgNcdtllqqmp0dGjR/XDH/7wnMtnZGQoLS0taMzjaaOSEk4zAsB3NeXfxaioSMXGXqTS0grV1NQ22fM0Z6H8f6e59rtDh2hHnpeAdZp9%2B/Zp48aNevDBBwNjBQUFatWqVYNP8cXHx9dZtrj4uKqrm88OBwDNQSj%2BLtbU1Ibt318ntjuc%2B/1dnCg9zcUXX6zc3FytWbNGJ0%2Be1MGDB7VixQplZGQoKirK6fIAAIALELBO07FjR61Zs0bbt29XUlKSJkyYoGuuuUb333%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%2BfFj33HOPkpKSdN1112nJkiWqra11uiwAAOASHqcLaI6mT5%2BuhIQEvfPOOzp69KgmT56sSy65RHfeeafTpQEAABfgCNZpfD6f/vrXv2rOnDmKiYlRly5ddMcddyg3N9fp0gAAgEtwBOs0e/fuVadOndSuXbvAWEJCgg4ePKiysjK1bdv2nOsoKipScXFx0JjH00bx8fHW6wUAoCXweFrWMR8C1mn8fr9iY2ODxr4JWyUlJQ0KWLm5ucrOzg4amzZtmqZPn26v0P%2B36/GR1tfplKKiIuXm5iojI4MwGgL0O/ToeWjR79Ci38FaVly0xBjTqMdnZGRo/fr1QV8ZGRmWqmu5iouLlZ2dXefoH5oG/Q49eh5a9Du06HcwjmCdJi4uTn6/P2jM7/crIiJCcXFxDVpHfHw86R0AgDDGEazTeL1eFRYW6tixY4Exn8%2Bnbt26KTo62sHKAACAWxCwTtOrVy/17t1by5YtU1lZmQoKCvTcc89p4sSJTpcGAABcImrevHnznC6iubnmmmu0adMmLViwQG%2B%2B%2BabGjRunu%2B66SxEREU6X1uJFR0frqquu4mhhiNDv0KPnoUW/Q4t%2BfyvCNPaKbgAAAAThFCEAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACwjIAFAABgGQELAADAMgIWAACAZQQsNJmcnBylpKSoX79%2BuuOOO/Tll19Kkj744AONGzdOAwYM0KhRo7Rx48agx73wwgsaMWKEBgwYoIkTJ2rPnj2BuRMnTuiXv/ylrr32WiUlJWnGjBkqKSkJ6XY1V/v27dOkSZM0aNAgDRkyRHPmzAl8aDk9b7ydO3cqOTlZs2bNqjP31ltv6aabblL//v11yy236Pe//31grra2VsuXL9ewYcOUmJiou%2B66S1988UVg3u/3a%2BbMmUpOTlZKSooeeeQRVVZWBubz8/N1%2B%2B23a%2BDAgUpPT9fatWubdkObkbP1fNu2bRo9erT69%2B%2BvESNG6He/%2B13QfGP26cOHD%2Buee%2B5RUlKSrrvuOi1ZskS1tbVNt6HNxNn6/Y3y8nKlpqbqwQcfDIyxj5%2BBAZrASy%2B9ZEaOHGkKCgrM8ePHzYIFC8yCBQvMV199Zfr162dee%2B01U1lZad5//33Tp08f88knnxhjjHn33XfNoEGDzO7du01FRYVZvXq1GTJkiCkvLzfGGLNo0SJzyy23mH/84x%2BmpKTETJs2zUyePNnJTW0WqqqqzJAhQ8yyZcvMiRMnzLFjx8ydd95ppk%2BfTs8tWLNmjUlPTzcTJkwwM2fODJrbt2%2Bf8Xq9ZseOHaaystJs2LDB9O3b1xQWFhpjjHnhhRfMddddZw4cOGCOHz9ufvWrX5mbbrrJ1NbWGmOMmTZtmrnnnnvM0aNHzZEjR0xGRoZZsGCBMcaYiooKc80115iVK1ea8vJys2fPHnPVVVeZrVu3hrYBDjhbzz/%2B%2BGPTu3dv8/bbb5uqqiqzY8cOk5CQYP73f//XGNP4fXrs2LHm0UcfNaWlpebgwYMmPT3drF27NnQb74Cz9fu7Fi1aZAYOHGiysrICY%2Bzj9SNgoUmkpaXV%2Bwvy7LPPmjFjxgSNzZw508ydO9cYY8w999xjFi5cGJirqakxQ4YMMZs2bTJVVVVm4MCB5p133gnMHzhwwHTv3t0cOXKkibbEHf7xj3%2BYK6%2B80hw4cCAw9sorr5jhw4fTcwuef/55U1paarKysur85zN//nyTmZkZNHbbbbeZ1atXG2OMGTVqlHn%2B%2BecDc8ePHze9evUyf/nLX0xxcbHp0aOHyc/PD8zn5eWZfv36mZMnT5rNmzebq6%2B%2B2lRXVwfmlyxZYn72s581xWY2K2freV5ensnOzg4aGzt2rMnJyTHGNG6f/uSTT0zPnj2N3%2B8PzL/yyitmxIgRTbGZzcbZ%2Bv2N/Px8M2TIEPPYY48FBSz28fpxihDWffXVV/ryyy/19ddf68Ybbwwcgj927Jj27t2rXr16BS3fq1evwOH70%2BcjIyPVs2dP%2BXw%2Bff755zp%2B/LgSEhIC8//2b/%2BmCy%2B8UHv37g3NxjVTHTt2VM%2BePZWbm6vy8nIdPXpU27ZtU2pqKj23YNKkSYqJial37kz99fl8qqys1IEDB4Lm27ZtqyuuuEI%2Bn0/5%2BfmKiopS9%2B7dA/MJCQn617/%2Bpc8%2B%2B0x79%2B5V9%2B7dFRUVFbTu757uaqnO1vNrr71WmZmZgZ%2Brq6tVXFysjh07SmrcPr1371516tRJ7dpp7opLAAAFw0lEQVS1C8wnJCTo4MGDKisrs72ZzcbZ%2Bi1JxhjNmzdPs2bNUmxsbGCcffzMCFiw7siRI5KkLVu26LnnntOGDRt05MgRPfroo/L7/UG/nJLUvn37wPUPfr8/6A%2BbJLVr104lJSXy%2B/2SVOfxsbGxYXlN0HdFRkZq5cqVevfddzVgwAAlJyerurpas2fPpudN7Gz9%2B/rrr2WMOWt/27Ztq4iIiKA5SYH5%2Bv7t/H5/WFwT1FBLly5VmzZtdOONN0pq3D5dX8%2B/%2B28SrnJzcxUREaFbbrklaJx9/MwIWLDOGCNJuvvuu9WxY0ddeumlmj59urZv3/69Hn%2B%2B8%2BHo5MmTmjJlikaOHKldu3bpvffeU0xMjObMmdOgx9PzxmlM/86nt9/9zyqcGWO0ZMkSbdq0STk5OWrdunXQ3Lkeez5z4ejo0aNasWKF5s2bd8Z9j328LgIWrLvkkkskBb9C7NSpk4wxqqqqCryC/EZJSYni4uIkSR06dKgz7/f7FRcXF1jm9Pmvv/5aF198sfXtcJMPPvhAX375pe677z7FxMSoY8eOmjFjht5%2B%2B21FRkbS8yZ0tv61b9%2B%2B3v77/X5dfPHFiouLU1lZmWpqaoLmJAXmTz9q4vf7A%2BsNZ7W1tXrwwQe1fft2vfrqq/rxj38cmGvMPh0XF1fvYyMiIgKPDTeLFy/WmDFjgk7zfYN9/MzcXT2apUsvvVRt27ZVfn5%2BYOzw4cO64IILNHTo0Drn1vfs2aO%2BfftKkrxeb9C1PTU1Ndq3b5/69u2rzp07q127dkHzf/vb33Ty5El5vd4m3qrmraamRrW1tUGvFE%2BePClJSk5OpudNyOv11umvz%2BdT37591bp1a/3kJz8J6l9paak%2B//xz9enTRz179pQxRn/961%2BDHhsbG6uuXbvK6/Vq//79qq6urrPucLdw4UJ9%2BumnevXVV9W5c%2Begucbs016vV4WFhYFbnEinet6tWzdFR0c3/YY1Qxs3btS6deuUlJSkpKQkPfvss3rzzTeVlJTEPn4WBCxY5/F4NG7cOD399NP6%2B9//rqNHj2rVqlW66aabNHbsWB0%2BfFivvfaaTpw4oby8POXl5Wn8%2BPGSpIkTJ%2Br111/X7t27VVFRoZycHLVq1UqpqamKiorS%2BPHj9fTTT6uwsFAlJSX6n//5H11//fWBo2bhqn///mrTpo1WrlypiooKlZSUKCcnR4mJibr55pvpeRMaP368/vCHP2jHjh06ceKE1q1bp0OHDmn06NGSTvX3hRdeUEFBgcrKyrR06VL17NlTvXv3VlxcnEaMGKEnn3xSx44d05EjR7Rq1SqNGzdOHo9HQ4cOVdu2bZWTk6OKigp9/PHHWrdunSZOnOjwVjvrww8/1MaNG7VmzRq1b9%2B%2Bznxj9ulevXqpd%2B/eWrZsmcrKylRQUKDnnnsurHuel5enN954Qxs2bNCGDRs0YcIEpaWlacOGDZLYx88opO9ZRNg4ceKEmTdvnklMTDT9%2BvUzWVlZpqyszBhjzJ///GczevRok5CQYNLT0%2BvczuHll182Q4cONV6v10ycONHs37%2B/3vX279/f3Hfffaa0tDSk29Zc%2BXw%2Bc/vtt5tBgwaZ5ORkM3PmzMCtFOh543i9XuP1ek2PHj1Mjx49Aj9/Y%2BvWrSY9Pd0kJCSYm2%2B%2B2fz5z38OzNXW1poVK1aYwYMHmz59%2Bpif//zngXtkGWNMaWmpmTVrlunXr59JTEw08%2BfPNydOnAjM79%2B/30yYMMF4vV6TmppqXn755dBstMPO1vOHHnooaOybrzvvvDPw%2BMbs04WFhebuu%2B82ffr0McnJyeapp54K3NOppTrXPv5dTz31VNBtGtjH6xdhDFfzAQAA2MQpQgAAAMsIWAAAAJYRsAAAACwjYAEAAFhGwAIAALCMgAUAAGAZAQsAAMAyAhYAAIBlBCwAAADLCFgAAACWEbAAAAAsI2ABAABYRsACAACw7P8AKy0TTeOdmroAAAAASUVORK5CYII%3D\"/>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common1876930948997121276\">\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">4894.2</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">7321.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">7198.7</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">7469.8</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">9149.9</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">6203.9</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">6489.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">12065.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">5700.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">7529.6</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:2%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"other\">\n", | |
| " <td class=\"fillremaining\">Other values (91)</td>\n", | |
| " <td class=\"number\">91</td>\n", | |
| " <td class=\"number\">90.1%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " </div>\n", | |
| " <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"extreme1876930948997121276\">\n", | |
| " <p class=\"h4\">Minimum 5 values</p>\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">4866.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">4877.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">4894.2</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">4983.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">5018.2</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " <p class=\"h4\">Maximum 5 values</p>\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">13261.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">13371.5</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">13785.4</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">13854.1</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">14321.3</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| "</div>\n", | |
| "</div><div class=\"row variablerow\">\n", | |
| " <div class=\"col-md-3 namecol\">\n", | |
| " <p class=\"h4 pp-anchor\" id=\"pp_var_period\">period<br/>\n", | |
| " <small>Categorical</small>\n", | |
| " </p>\n", | |
| " </div><div class=\"col-md-3\">\n", | |
| " <table class=\"stats \">\n", | |
| " <tr class=\"\">\n", | |
| " <th>Distinct count</th>\n", | |
| " <td>29</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>Unique (%)</th>\n", | |
| " <td>28.7%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (%)</th>\n", | |
| " <td>0.0%</td>\n", | |
| " </tr>\n", | |
| " <tr class=\"ignore\">\n", | |
| " <th>Missing (n)</th>\n", | |
| " <td>0</td>\n", | |
| " </tr>\n", | |
| " </table>\n", | |
| "</div>\n", | |
| "<div class=\"col-md-6 collapse in\" id=\"minifreqtable-968524005365506784\">\n", | |
| " <table class=\"mini freq\">\n", | |
| " <tr class=\"\">\n", | |
| " <th>10-12.</th>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:96%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n", | |
| " data-delay=500 title=\"Percentage: 24.8%\">\n", | |
| " 25\n", | |
| " </div>\n", | |
| " \n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <th>7- 9.</th>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:96%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n", | |
| " data-delay=500 title=\"Percentage: 24.8%\">\n", | |
| " 25\n", | |
| " </div>\n", | |
| " \n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <th>4- 6.</th>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:96%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n", | |
| " data-delay=500 title=\"Percentage: 24.8%\">\n", | |
| " 25\n", | |
| " </div>\n", | |
| " \n", | |
| " </td>\n", | |
| "</tr><tr class=\"other\">\n", | |
| " <th>Other values (26)</th>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n", | |
| " data-delay=500 title=\"Percentage: 25.7%\">\n", | |
| " 26\n", | |
| " </div>\n", | |
| " \n", | |
| " </td>\n", | |
| "</tr>\n", | |
| " </table>\n", | |
| "</div>\n", | |
| "<div class=\"col-md-12 text-right\">\n", | |
| " <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-968524005365506784, #minifreqtable-968524005365506784\"\n", | |
| " aria-expanded=\"true\" aria-controls=\"collapseExample\">\n", | |
| " Toggle details\n", | |
| " </a>\n", | |
| "</div>\n", | |
| "<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-968524005365506784\">\n", | |
| " \n", | |
| "<table class=\"freq table table-hover\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td class=\"fillremaining\">Value</td>\n", | |
| " <td class=\"number\">Count</td>\n", | |
| " <td class=\"number\">Frequency (%)</td>\n", | |
| " <td style=\"min-width:200px\"> </td>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tr class=\"\">\n", | |
| " <td class=\"fillremaining\">10-12.</td>\n", | |
| " <td class=\"number\">25</td>\n", | |
| " <td class=\"number\">24.8%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">7- 9.</td>\n", | |
| " <td class=\"number\">25</td>\n", | |
| " <td class=\"number\">24.8%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">4- 6.</td>\n", | |
| " <td class=\"number\">25</td>\n", | |
| " <td class=\"number\">24.8%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:100%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">2013/ 1- 3.</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:4%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">1998/ 1- 3.</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:4%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">2000/ 1- 3.</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:4%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">2018/ 1- 3.</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:4%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">1995/ 1- 3.</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:4%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">2007/ 1- 3.</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:4%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"\">\n", | |
| " <td class=\"fillremaining\">2010/ 1- 3.</td>\n", | |
| " <td class=\"number\">1</td>\n", | |
| " <td class=\"number\">1.0%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:4%\"> </div>\n", | |
| " </td>\n", | |
| "</tr><tr class=\"other\">\n", | |
| " <td class=\"fillremaining\">Other values (19)</td>\n", | |
| " <td class=\"number\">19</td>\n", | |
| " <td class=\"number\">18.8%</td>\n", | |
| " <td>\n", | |
| " <div class=\"bar\" style=\"width:76%\"> </div>\n", | |
| " </td>\n", | |
| "</tr>\n", | |
| "</table>\n", | |
| "</div>\n", | |
| "</div>\n", | |
| " <div class=\"row headerrow highlight\">\n", | |
| " <h1>Correlations</h1>\n", | |
| " </div>\n", | |
| " <div class=\"row variablerow\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA1wAAAMRCAYAAAD4I7d2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzs3Xl4DdcbwPFvkEUkYt9FCBJLQhCC2BL7Unst5SdItPZ9KUWRptpSte%2BhWtpYgpZqbUW1qK1ESktiSSwRJCHIIvL74%2Bbe5iY3M5MmSuv9PE%2BeSeacOXPu3Ju58845c45ZampqKkIIIYQQQgghcl2el10BIYQQQgghhPivkoBLCCGEEEIIIV4QCbiEEEIIIYQQ4gWRgEsIIYQQQgghXhAJuIQQQgghhBDiBZGASwghhBBCCCFeEAm4hBBCCCGEEOIFkYBLCCGEEEIIIV4QCbiEEEIIIYQQ4gWRgEsIIYQQQgghXpB8L7sCQgghhFDn5OSUZZq5uTmFChWiZs2adOnShTZt2mBmZvYP1k4IIURWzFJTU1NfdiWEEEIIoUwfcLm6ulK8eHGjtMTERMLDw7l16xYALVq0YNGiRVhYWPzj9RRCCGFMAi4hhBDiX0AfcC1dupSWLVuazLN//34mTpzIkydPGDRoEJMnT/4nqyiEEMIEeYZLCCGE%2BI9o2bIl48ePB%2BCrr74iMTHxJddICCGEPMMlhBBC/Ie0bt2aOXPm8PTpU37//Xfc3NyM0o8dO8bGjRv57bffiI2NxcbGBmdnZ7p3706nTp1MlhkbG8u6des4fPgw169fJykpCTs7O1xdXRk4cCANGjTItI2Xlxc3b95k9erVJCYmsmDBAiIiIli/fj1169YF4M8//yQwMJBTp04RFRVFvnz5KFGiBPXr16dfv34mn1t79OgRn3/%2BOQcOHOD69eskJydTrFgx6tSpg4%2BPDy4uLkb5IyMj8fb2BuD8%2BfOEhYWxfPlyzp49S2xsLCVKlMDb25uxY8dibW39t465EEIokRYuIYQQ4j%2BkUKFCht8fPnxolLZgwQJ8fHzYt28fNjY2NGjQgCJFinDs2DEmTJjAmDFjSElJMdomOjqabt26sWLFCsLDw6levToeHh5YWFjw448/MmDAALZt25ZlfcLDwxk7dizm5uZ4eHhgZWUFwK%2B//kr37t3Zvn07iYmJ1K1bFzc3N%2BLj49m8eTNvvvkmx44dMyrr5s2bdO3alcWLF3PlyhWcnZ3x8PAgNTWVXbt28eabb7J169Ys63LmzBn69u1LaGgozs7OVKxYkZs3b7JhwwZGjhyp%2BRgLIUR2SAuXEEII8R8SGRlp%2BL1IkSKG3/ft28eKFSuws7NjyZIl1K9f35B28uRJxowZw549e6hduzY%2BPj6GtFWrVnHz5k0qVqzIxo0bKVq0KAApKSl89NFHfP7553z44Ye0bduWAgUKZKrPF198wYgRI3jnnXeM1s%2BbN4%2BkpCQGDRrExIkTyZMnj6HcxYsXs3z5cgICAvj2228N20yaNImIiAhq1qzJ8uXLKVGiBADPnz9n2bJlLF68mFmzZlG3bl0qVqyYqS5Tp05l%2BPDh%2BPr6GkZx3LFjB5MnT%2Bbo0aNcunQJZ2dnzcdaCCG0kBYuIYQQ4j9k7969ANjZ2VGtWjXD%2BuXLlwMwefJko2ALwN3dnUmTJgHw%2BeefG6WVKFGCDh06MGLECEOwBZA3b17Gjh1Lnjx5ePToEb/99pvJ%2Bjx//pwhQ4ZkWn/x4kUAunXrZgi29OWOGjWKUaNG0b9/f5KSkgA4d%2B4cp06dAuDjjz82BFsAefLkYcSIEdSoUYOkpCS%2B/vprk3WpUqUKfn5%2BRkPmd%2B7c2RCYnjt3zuR2QgiRE9LCJYQQQvxHHD58mJUrVwLg6%2BtLvny6r/moqChCQ0MBaNWqlcltW7ZsiZmZGbdu3eLq1auGFiI/P78s95c/f36KFi1KdHQ00dHRJvN4eHgYBVR6BQsW5N69e3z33XeMHj3aKC1PnjwMHz7caN1PP/0E6EZrdHR0zPI1hIaGZuqKqGfqGTUzMzPKly/PgwcPiImJMbmdEELkhARcQgghxL/IypUrCQ4ONlqXlJTEtWvXiIiIAHStRr6%2Bvob0P//80/D7lClTsiw7X758JCcnc%2B3aNaMueUlJSRw%2BfJgLFy5w9%2B5dHj58iH5WmUePHgG6lixTSpYsaXL9gAEDmD9/PsuWLeOnn36iY8eONGzYMMsJnq9cuQLoWqmyUqlSJUD33Jgp9vb2JtdbWloCkJycnGXZQgjxd0nAJYQQQvyLnD9/PtO6vHnzUrhwYby9venVqxfNmjUzSo%2BLizP8fuDAAdV96IMogEuXLjF8%2BHCjZ8Oyw87OzuR6fTfDlStXEhISQkhICADFixenbdu2DBgwgPLly2eqU8GCBbPcl62tLaALnBISEgwDdOjJRNBCiJdBAi4hhBDiX0Rp4uOs6J9ZMjc3JyQkxOgZJiUJCQkMHTqUW7du4eDgwLBhw2jYsCGFCxfG3Nwc%2BGv4d7V9mzJkyBB69%2B7N/v37OXz4ML/88gvR0dF88cUXBAUF8fHHH9OuXTvNr1Pf6gaY7MYohBAvgwRcQgghxH%2Bcfqj45ORkYmJijEYvVHLkyBFu3bqFmZkZq1atokKFCpnyJCQk5KhuBQsWpFu3bnTr1o2UlBR%2B%2BeUXli5dytmzZ5k2bRoeHh4ULlzY0FKWcaj79PRpVlZW0polhHhlyO0fIYQQ4j%2BuatWqht8vX76sebtr164BumefTAVbN27c4P79%2Bzmun17evHlp0qQJGzZsoGTJkjx%2B/NjQhVL/7Fb659Ey0qcpPeclhBD/NAm4hBBCiP%2B44sWLU6NGDQA2b95sMs/Vq1fp3LmzYfh4%2BOuZqMTERJPbLF261PB7xgmTlZw7d46pU6cSGBhoMt3CwoJixYoBf7Wg6Z9L%2B/PPP00GXc%2BfPzcMid%2BkSRPNdRFCiBdNAi4hhBDiNaCfeHjXrl2sX7/e6Hmn69evM2rUKC5dusTt27cN6/WTAN%2B5c4f9%2B/cb1j99%2BhR/f39CQkJwc3MDsh4Z0JS8efOybds2Fi1axKFDhzKl79u3j4sXL2Jubk6dOnUAqF69Op6enoBuAuMHDx4Y8j979oxPPvmEsLAwbG1t6d27t%2Ba6CCHEiybPcAkhhBCvgdatWzNkyBBWrVrFhx9%2ByIYNG6hUqRIxMTFcvHiRlJQUqlevzoQJEwzbuLm54enpydGjRxk5ciS1atXC0tKSCxcukC9fPtatW8fu3bs5e/YsGzZs4I8//mDo0KG4u7sr1qVmzZoMGjSIwMBA3n77bcqWLUuFChXIkycPkZGRhq6M06ZNo3jx4obtAgICGDBgACEhIXh5eVG1alUsLS25fPkyMTExWFlZMX/%2B/CyHohdCiJdBAi4hhBDiNTF%2B/HgaNWrEl19%2ByW%2B//caxY8ewtLSkZs2atG/fnr59%2B2YabOKzzz5j3rx5HDhwgAsXLlCiRAnatGnDO%2B%2B8g729PaVKleL333/nzJkzXL58WfMIiJMnT8bd3Z0dO3Zw4cIFzp49y7NnzyhevDgdO3akX79%2BhtYzvZIlS7J161bWr1/Pvn37uHz5Ms%2BePaNkyZK0bt2awYMHm3zWTAghXiaz1PR9CoQQQgghhBBC5Bp5hksIIYQQQgghXhAJuIQQQgghhBDiBZGASwghhBBCCCFeEAm4hBBCCCGEEP8qP/30E40aNWLs2LGK%2BZ4/f86CBQvw9vbG3d2dwYMHExERYUiPjY1lzJgxNGrUCE9PT6ZNm2aY/y%2B3SMAlhBBCCCGE%2BNdYvXo1/v7%2BmkYl3bhxI99%2B%2By2rVq3ixx9/xMHBgeHDhxvmIpw%2BfTpPnz5l165dbNu2jbCwMObNm5er9ZWASwghhBBCCPGvYWlpydatWzUFXEFBQfj4%2BODo6IiNjQ1jx44lLCyMc%2BfOce/ePfbv38/YsWMpUqQIJUuWZNiwYWzbto3k5ORcq6/MwyWEEEIIIYT4x9y9e5fo6GijdcWLF6dEiRKatv/f//6nKV9CQgJXrlyhevXqhnU2NjZUqFCBkJAQHj16RN68eXFycjKk16hRgydPnhAeHm60Pick4BJCiPTUJm2tWBEuX4YqVeDqVeW8Q4YopxcrBnPmwPTpcO%2Bect4Mk9GaVLQozJgBs2fD/fvKeX/9VTm9TBnYuhV69IBbt5TzrlihnG5hAdWrw%2B%2B/Q1KSct4zZ5TTbW11ddq6FR49Us4LEB%2BvnF6wIAwYAJ9/Dg8fKufNo9IppGBB6N8fvvhCvSxnZ%2BX0/PmhcWP4%2BWd4%2BlQ5r9oFioWFbn%2BXLqkff1DPY2kJLi4QEgKJicp5IyOV062toXVr2LsXnjxRzluuXO7Vy9VVOR10x03L8QLdsVUrS%2Bt78OefyukFCkC7drBnDzx%2BrJy3Xz/l9IoVITQUatRQP58B5M2bdZqDg%2B7Yu7jAtWvqZRUtqpxubw9HjkDTpnDjhnLeSpWU00uXho0b4a234PZt5byDBimn29hA166wfbv6%2BQVA6fmiChXg1CmoVw%2BuX1cv68ED9TwvgsbJzLMjaNEilixZYrRuxIgRjBw5Mlf3ExcXR2pqKnZ2dkbr7ezsiImJoVChQtjY2BhN2K7PGxMTk2v1kIBLCCGyo1Ah3UVHoUI5Lyt/ft1FfP78OS8rt8uztdW9TlvbnJeVN6/uC1vpYk0rCwvda9QSgGphaakrz9Ly1SorXz7dMcuXC1/TuXn8c7s8c3NdWebmr1a9zMz%2B%2Bkl7zuOVqVtuHjM7O12dMlyM/i25eW4E3Q2MvHl1y5yysdGVZWOT87Jy8xyUm8f/X6ZXr154eXkZrStevPgL21%2Bqwv%2BxUlpukYBLCCGEEEIIYZpa6/7fUKJECc3dB3OiUKFC5MmTh9jYWKP1sbGxFC1alCJFihAfH09KSgp5026I6PMWVWuFzQYZNEMIIYQQQgjxn2NpaUmVKlUIDQ01rHv48CE3btzA1dWVatWqkZqayqV03YJDQkIoWLAgFStWzLV6SMAlXinJycn07NmTrVu3vuyqZFtiYiJOTk6cOHECABcXF37%2B%2BeeXXKv/hv79%2B2c5ROu0adOYMWPGP1wjIYQQ4jWRJ0/u/7xAUVFRtG3b1jDXVp8%2BfdiwYQNhYWHEx8czb948qlWrhouLC0WKFKFNmzZ89tlnPHjwgDt37rB06VJ69OhBvtzo0p1GuhQKk65du8aKFSv4%2BeefiYuLo2DBgri5uTF06FCjkV6cnJwwNzfHzMwMMzMzSpYsSZMmTfDz86N06dIm8wFYW1tTs2ZNJk6ciHO6h8cXLVpE4cKF6dGjh8nt0vv888%2BpU6fOizoEORYSEmL4PTQ0lLi4OBo1avSP1uHRo0d4enpSvnx5du3a9Y/u%2B5/y7rvv0qFDB/bv30/Lli1fdnWEEEKI/5YXHCD9HS4uLgA8e/YMgP379wO6a6/k5GSuXr1KUtoANb179yY6Opr%2B/fvz%2BPFjGjRoYDRgx%2BzZs5k5cybe3t6Ym5vTsWNH1cmUs0sCLpHJxYsX6devH3369CE4OJhixYpx8%2BZN1q5dS%2B/evfnyyy9xTTfC07Jly2jatCmJiYmEh4ezfv16OnfuzMaNG6lSpUqmfKALBJYsWcLgwYP5/vvvsbW15f79%2B2zYsIENGzYY1Sf9dv9W27Ztw9ra%2Bh8PuL755hvq1KnD77//zrlz56hVq9Y/uv9/go2NDT4%2BPixatEgCLiGEEOI1kP6mdkblypXjjz/%2BMPxtZmbGqFGjGDVqlMn8tra2fPrpp7lex/RevZBVvHSzZ8%2BmWbNmTJgwgeLFi2NmZka5cuWYOXMm48aNy7KJ1dLSkmrVqvHRRx/RuHFjZs2aleU%2BbG1tmTRpEg8fPuRM2jDQwcHB2NvbZysoOHr0KHXr1jXM5ZCYmIi3tzfr168HdC1kwcHB9OjRA1dXV7p06UJ4eLhh%2B0uXLjFgwADq1auHh4cH/v7%2BhonugoODeeONN9ixYwdeXl64ubkxduxYQ/qTJ08YN24c9erVo2XLlhw8eNCobk5OThw5coQ5c%2BawadMmAgMDadWqlVGa3ldffWUYrScyMhInJyc2bdpE/fr1DS1T3333HZ07d6Z27dp4e3sTFBSkeny2bdtG%2B/btadWqFdu2bTNKmzJlCu%2B%2B%2By6zZ8%2BmTp06eHh4sGnTJkO6l5cX69evZ%2BDAgbi6utK6dWvDe6V/DevXr8fT05NVq1YBcOrUKd58803c3Nzw9PRkwYIFPH/%2BHNCNAjRv3jyaNWuGm5sbXbt25eTJk4bynj59yvTp02nQoAEeHh5Mnz7dcHcKICUlhRkzZlCnTh0aNmzId999Z0jr0aMHV65cMaqfEEIIIXLBv6xL4avo9XvFQtH9%2B/c5c%2BYMb731lsl0Hx8foy6FWRk4cCAnT57knsLcQs%2BfPyc1NZU8af94x48fx8PDI1v19fT0xMvLy/B8z9q1aylatKjRhHjr1q3jo48%2B4tixY1SuXJlx48YBugt8X19fGjVqxC%2B//MKWLVs4ceIEa9euNWx78%2BZNLly4wK5du9i8eTP79%2B9n3759AKxYsYJLly6xe/dutm7dyvfff2%2ByjtOnT8fd3Z1BgwYZttXi119/5eDBg3To0IGQkBCmTZvGxIkTOX36NB999BFz585VDDAuXrzI5cuXadu2LW%2B88Qa7d%2B/maYb5fL7//nucnZ05fvw4/v7%2BzJ492%2BjB0XXr1jF69GhOnjxJq1atGD58uKH5HnRN%2BDt27MDPz4979%2B4xePBgOnfuzIkTJ1i1ahVbt27lq6%2B%2BAmDnzp3s2LGDoKAgTp06hbe3N6NGjSIlJQWATz/9lCtXrrBnzx6%2B%2B%2B47QkNDWbp0qWFfu3btolWrVhw/fpyePXvy/vvvG%2Bpia2tLtWrVOH78uObjK4QQQgjxT5AuhcKI/gFDBweHHJWjH9nl5s2bFCtWLFP6w4cPWbJkCUWLFsXNzQ3AEBxkNGzYsEzPcFWpUoXg4GDgr2d49uzZw7p169i4caMhiAPo3Lkzjo6OAPj6%2BtK5c2eioqI4c%2BYMqampvP322wCUL1%2BewYMHs3LlSt555x0AHj9%2BzJgxY7C2tqZKlSo4OTkZWsj27dtH3759KVmyJAB%2Bfn5ZBl1/R5cuXbBJmzMkODiY5s2b4%2BnpCUC9evVo164dO3fuzPI5ti1bttCiRQtsbW1xd3fHzs6OH374gS5duhjylClThjfffBOAli1bUq1aNX788UfDc3VeXl7Url0bgLfffpu1a9dy7tw56tatC0C7du0M7%2B%2BuXbsoU6aMIVivXr06nTt3Zs%2BePbz11lt06tQJb29vbNPmderQoQOLFy/m1q1blCtXjh07dhAQEECRIkUACAgI4GG6yWPr1KlDkyZNAGjbti0rV67kwYMHhmFlq1atyuXLl7N1jE3OdF%2BxIiWU5pHRP3OoNnEtQPnyyumlShkvlWiZcyfts2hYKomLU06vUMF4qURt3i/9vFRa5qdSG4ZXP1%2BN1nlr1OpWuLDxUonaXdnslKU2v5m1tfFSSW4ef1Cf%2B8vKynipRO190s%2BLpGV%2BJLVjkZ16qU3kqk/XOuFrbr4HavNY6T87WubISzt/Z8nJyXipRmkesapVjZdq1D4bad/bhqWSsmWV0%2B3tjZdK0r6DspTdc5DSJNv6xy7SPX6RpfPnte3vRXgNW6RymwRcwog%2BsEnfinHy5EkGpc28npqaSunSpVVbavTbpw980gdONjY21KpVi8DAQENQERsbSyETXzRqz3AVKVKEyZMnM3bsWN5%2B%2B22qZjjZpx/Ws2zaSTkqKoqIiAju379vePBS//os0k1mWLhwYUP9APLnz09CQgIAd%2B7coVy5coa0nAapGZUpU8bw%2B40bNzh27FimuuoDsIwSExP59ttvmTt3LqB7Xzt16sTWrVuNAq6MQ56WKVOGu3fvmkwvWLAgtra2Runp6xgZGWkIbPUqVKjAnj17AF2LYkBAAEeOHCEu3cV%2BUlISMTExPHz40Oh4OmcIaNKnWaZdtKTvclioUCF%2B//13k8cjK0FBQZlnuh89mpGjR6tvnK77ZY75%2BuZeWQA%2BPrlX1pw5uVeWliF2tQSyAC1a5KwuGbVrl3tltWmTe2UpXaxll5bgOTu0XAjXqKGtrPr1c1aX9LTUSyutkwtrDTK0vAday9LSIyStG7uqDM9O50hal/5ck%2BEcnSO5OaKt1mfLO3VSz7N6tXoetUDwRZKAK8ck4BJGHBwcMDMzIzw83NBy4%2B7ubng4MTg4ONMFqikXL14kb968RkGIlsEvTI1GqEVkZCT58%2Bfn2rVrmdL0zxDBX7OJm5mZGeZm%2BPbbb7MsN4/CSSY5OdnQHS592X9H%2Bjrq5U13J9HKyoo%2Bffowffp0TeV9//33PHz4kPHjxxuOaUpKCklJSdy4cQP7tLt86esPuteQ/j3IWK%2BM6enrmD74SU%2Bff9asWfzxxx9s3LiRChUqEBERYXimTX%2BcTR2HjOUopWf3PTA5032nTvD551lv5OysC7b69oV03S9N6tZNOb1UKV2wtWYN3LmjnFdrC5ePj%2B6CJypKOW%2B6OUlMqlBBF2xNnw7XryvnnTpVOd3SUhdsXb0KiYnKedWOqZ2dLtj68Uf1VjqAJ0%2BU0wsX1gVbe/ZATIxyXi0tXG3awA8/qJeldoPG2loXbJ0/r/4a1C7ELC117%2Bf16%2BrHHyDtOdUsWVnpgpqwMEi7AZUltc%2BhjY0u2Pr1V4iPV86r1nKbnXqptSiYmen%2B55KTQct5xcR3j5HsvAdq/2%2B2trpg6/hxePRIOe977ymnOznpgq3//Q/SDTKQJbUWrvXrdeegP/9UL0tLC9eSJTBihO49VaKlhWvGDJg9G27cUM7bubNyup2dLtg6ckTbOWj%2B/KzTqlTRBVt%2BfpDNHhri30UCLmHEzs6Oxo0bExgYSMOGDTOlK10Qp7dkyRKaNm1q6D6mRaFChYhRu0gxISwsjPXr17Np0yb8/PwyDQ9%2BI93J9datWwCUKlUKe3t7IiIiePz4MQUKFAAgJiYGc3Nzo1atrJQoUYLbt28b/r5y5YrmOltYWBhayjLW0RR7e/tMI/LcuXOH4sWLGwU9elu3bqV79%2B6G7pJ6Y8aMYdu2bYbhTvVdSPVu3bpl6EKYsV5xcXHEx8dTKovub/b29pw6dcpoXXh4OOXTutWdP3%2Benj17GoLw9JMQFipUiIIFC3L16lVqpN0RDw0N5cqVK3RW%2B/JLExMTY%2BiOqJXJme6vXtW28aVLcPasch53d21l3bkDGd6LTNK1vKqKioLISOU8Wi6uQHfxp5Y3w7OBWUpMVM97/762suLitOVVu4jXi4mBDN1LM9F6l1dLWWpdJ/WePFG/qFbrzqan5fgDZHHzJJOEBPVgUMsFKejeJ7W8Wr9PtNRL682Z1FRteXPzfyA2VltZjx6p5/3tN21l/fGHtrxKAZfen39qK0vr/0BYGFy4oJxH7f3Wu3FDPbB58EBbWXFx2vJq6Qp4%2BfLL7TKoRlq4ckyOoMhk2rRpnD9/nrFjxxKZdtEWGxvLli1b%2BPTTT42GhM/oxo0bjB8/nmvXrjFt2rRs7bdKlSrZfgYnNTWVGTNm4OPjQ7Vq1Zg0aRKzZs3iUboLlJ07d3L9%2BnUeP37M6tWrqVmzJsWLF8fT05MiRYrw0UcfER8fT3R0NKNHj85ygt2MmjRpwubNm4mOjubBgwesWbMmy7yWlpZERkYautI5ODiwf/9%2Bnj17RkhICIcOHVLcV48ePThz5gzbtm0jKSmJixcv0rNnT3744YdMea9fv87Jkyd56623qFChgtFPjx492L59u6Fl6%2BbNm%2BzYsYPk5GT27dvHpUuXaN68uaGsH3/8kdDQUBITE1m5ciXFihUz6taYXrt27YiIiCAoKIhnz55x/vx5tm/fTteuXQFdl8CQkBCSkpL47bff2L17N4Chi2K3bt1Ys2YNUVFRxMTEMGfOnGx9Hi5fvpypO6kQQgghxMsmAZfIpFKlSmzbtg0rKyv69u2Lq6srbdu25fvvv2fq1KmZ5ioYNmwYLi4u1KxZk759%2B2JlZcW2bdsMLRtaeXh4mBxlTl9%2Bxp8lS5YQFBREVFQUfn5%2BALzxxhs4ODjwySefGLbv0aMH48ePp2HDhly5coX5ac375ubmLFu2jPDwcBo3bkyXLl1wcHBg8uTJmuo7ceJEKlasSNu2benRowddu3bNcsj8bt26ceTIEVq3bk1KSgpTp07l7Nmz1KtXj4ULFxqekcuKo6Mj8%2BfPZ82aNdSrV4%2BRI0cyePBg2rdvnynvtm3bcHJyMrQUpdexY0diY2M5evQoAE2bNuXs2bOGYdjff/99o6Cle/fuzJs3D3d3d/bv38%2BSJUtMtqiB7vk4/Xvi7u7OxIkTGT16tOGZsfHjxxMWFkb9%2BvVZsGAB06dPp1WrVgwbNozQ0FDGjx%2BPq6sr7du3p3379lSpUoURI0YoHhe9%2BPh4fv/992yPcimEEEIIFTIsfI5Jl0JhUrly5fjwww9V8/2hsVuSlnzdunVjyZIlnD9/3tCKpmW73r17G/39xRdfGP3t4ODA1q1bTW7r7OzMl19%2BmWV9umV4Bid92TY2NixatMgoPX03ufR11wcReg0bNsw08EivXr2AzBP26bVr1452Gh7sHzdunGHo%2B4zs7Ow4n9ZtYc%2BePeTJk4dZs2ZlOWda0aJFWbdunck0U3Vs1qwZzZo1M5m/evXqhjnF9DI%2BDzh79mxmz56daduM76mjo6PR/rdu3UrlypWzHLFRCCGEEH/Taxgg5TY5guKVoZ8/a9myZS%2B7KuJf5PHjx6xfvz7LGeSFEEIIIV4mCbjEK2XUqFHcv38/yxYpITL68MMPadq0qdFAKUIIIYTIJdKlMMekS6F4pZibm7Nly5ZcK09rl8fXkX6OrqwcPHjwH6pJzvj7%2B%2BdugUOGKKfrn03s1k19FMJVq5TT3dx0wzYHB6uPeKiFmxtMngxBQerlqQ1LXry4bvngAaSbe80U/91uiumlSoGvM6w56qw6%2Bv17zVRGFUwbURR7e22jnBUsqJyuH%2BGvXj310ePU5vCpVAl694YTJyBtgvSsrLYaqZhetCh0A4JveagOxtjP9HR8BmZmYAUk2FfVNOBehp6/mRQqBK1qwL7wBz9YAAAgAElEQVRbNVQHyevprzLHnLMzeHnBypXqUwKojZCnn7Lhgw/Uy1KbH6xCBfD31w0jrjZMO6hPVlyunO5/c/t29RFE1Vrr9ZMnOzmpDzGvNldU5cq6ZZ066v8roDwptn7%2Bszp1tE0KrDZ0v/5cW768et7u3ZXT9eezVq1UJ4M%2BWX2AYrq1NdQAQit14omGOevde2V%2BNt1A/xpbt4Zq1dQLE/9aEnAJIYQQQgghTHsNW6RymwRcQgghhBBCCNMk4MoxOYJCCCGEEEII8YJIC5cQQgghhBDCNGnhyjE5gkIIIYQQQgjxgkjAJYQJN2/exMXFhatXr77sqrw2Tp48iYuLC0lJSS%2B7KkIIIYTQk2Hhc0y6FIrXgpeXF1FRUeRJ%2Bye3sLDAycmJMWPGUL9%2B/Uz5y5YtS0hISK7se%2BvWrXh5eVGkSBFN%2BZ8/f86mTZvYunUr169fx9zcHCcnJ3x8fPD29s6VOr0q9u7di5OTExUqVMDd3T3XjrkQQgghcslrGCDlNjmC4rXx3nvvERISQkhICEePHqVly5YMGTKEiIiIF7bPlJQU5s6dS0xMjOZtpkyZwoYNG5g8eTKnTp3iwIEDtGvXjjFjxrBt27YXVteXYdGiRVzXMseNEEIIIcS/lARc4rWUP39%2BBg0aRIkSJThy5Aj9%2B/fnk08%2BoVOnTgwZMoTIyEicnJwICwtjzJgxvPvuu0bbr1%2B/nnbt2gFw48YNBg8eTIMGDWjQoAHjxo3j4cOHANSvX59Hjx7RuXNnlixZAsCxY8fo1asXbm5uNGnShKVLlxrK/eWXX/jmm29YvHgxDRs2JG/evNja2tK3b19mzJjBkydPDHm//vpr2rVrR61atWjbti3fffedIa1///6sWLGCiRMnUqdOHZo0acLOnTsN6atWraJFixbUqlWLNm3aGNJOnDiBk5MTiekm0xw7dixTpkwBIDg4mE6dOhEUFETjxo2pX78%2BmzZt4vDhw7Ru3Zo6deowc%2BZMw7ZeXl6sX7%2BegQMH4urqSuvWrTlz5gwAb7zxBpcvX2bYsGG8%2B%2B67mfZ9584dhg4dSoMGDahbty5jx44lNm2W1RMnTlC3bl2OHDlC27ZtqV27NoMHDyYuLu5vfR6EEEIIkQXpUphj0qVQvNZSUlLImzcvALt372bRokW4uLhw8%2BZNQ562bdvy/vvvG%2BXdt28f7du3B3QtZ2XLluWnn34iPj6ewYMHs2zZMqZMmcLOnTvx9vZm586dODo6cufOHYYNG8bMmTPp1KkTV65cwdfXF3t7ezp16sTevXtxd3fHyckpU1179uxp%2BP3gwYN88sknrFy5klq1arFv3z4mTpyIo6OjYduNGzcSEBBAQEAAK1asYPbs2bRv356QkBA2bNjA5s2bKV26ND///DMjR47E09NT0zG7efMmUVFR/Pjjj6xZs4ZPPvkEb29vtm/fTmhoKP3796dnz57UrFkTgHXr1rFw4UKqVavGokWLGD58OD/99BPffPMNTk5OLFu2jKZNm3LixAmj/QwbNozKlStz4MABEhISGD16NDNnzmThwoUAPH36lN27dxMUFMTTp0/p0aMHmzdvxs/PT9PrALh79y7R0dFG64oXKEAJpe6fpUoZL5W4uSmnOzsbL3MqO%2BWVKaOc7uhovFSgdiiKFjVeKipQQDk9f37jpRq1fJaWxksllSopp5crZ7xUoHYsChUyXioxM9OWrpYv476zYmtrvFSk9lmsWNF4qSTt/JslBwfjpZIKFZTTS5c2XqpROxglSxovlah9Fs3NjZdKKldWTi9f3nipRuk9yMbnHwC153Xt7Y2XSooXV04vXNh4qcDaWjndysp4qUrp2Gbnc/ECe%2BOIF08CLvFaevz4MV9//TUPHjygWbNm7N69G1dXV1xdXTPlbd68OYmJiZw%2BfZr69etz//59zpw5w%2BzZswFda5GZmRkWFhYUKVKEJk2aGFpxMtq1axdVqlShS5cuADg5OdG7d2927txJp06diIiIoKKGC4%2BtW7fSsWNH6tWrB0D79u0JDAzkhx9%2BMARc%2BhY0gHbt2rFkyRLu3r3Lo0ePyJMnD1ZWVpiZmeHp6cnp06fJkycPV65cUd13QkICfn5%2BWFhY0KJFCxYuXEjv3r0pUKAA9evXx9bWluvXrxsCLi8vL2rXrg3A22%2B/zdq1azl37hx169bNch8XL14kNDSUlStXYmNjg42NDUOGDGH48OGGQTVSUlLw9fXFzs4OOzs76tatS3h4uGr90wsKCjK0POqNGD6ckaNGqW/s66ue5733tFVk0yZt%2BbTKzfLSAlwlGo4EAF27aslVR1th1app3KtGahfgAAsWaCtr/HjVLN20lYSXl8aMGmiJKQFatdKWz8NDS2FB2gqbO1dbPi0CAnKvrOHDc68sAB%2Bf3CtLSzC4fLm2sqZOzVld0kvrEZFrtJ5HtWjdWjVLDY1FabgXlVaghmM7eLB6nqFDNe7wBXgNW6RymwRc4rXh7%2B9PQNoXsZWVFdWqVWP9%2BvWUTvvSKlu2rMntrKysaNasGfv376d%2B/focPHiQKlWq4Jh2tr1w4QLz58/njz/%2BIDk5mZSUFEOwkdGNGzcICQnBxcXFsC41NdUQZJmZmfH8%2BXPV1xIZGYlHhqudChUqGLXMlUt3l9Eq7VZcQkICDRs2pHr16nh5edGwYUOaNm1K586dsVa7rZfGzs6O/GmtBhYWFgCUTHd3ztLS0qhLYvoAsmDBgtja2nL37l3V12dnZ0fxdHct7e3tSU5OJioqyuRrzJ8/PwkJCZpeg16vXr3wynBFW3ztWvD3z3qjUqV0wdaaNXDnjvIOgoOV052ddcFR375w6ZLGWudSeVpauBYuhNGjISxMMeuaLrsU04sW1QVb27fD/fvKu/WtY/pmhUH%2B/Lpg6%2BJFePpUOS%2BAjY1yuqWlLti6fh3SfW5NUrt4LVdOF2zNnw%2BRkYpZg5soB2%2BFCumCrYMHIa0nbZbSGtuzZGame5mJiZCaqpwX4KeflNNtbXXB1vHj8OiRct5Wa3opZ6hYURdsTZkCaqPCamnhCgjQBQ/XrinnVWutLF1aF2wtXQq3byvnBW0tXD4%2BsH49pDuHmdSnj3K6ubmufrdvQ3Kyct4PP1ROL19ed7wCArS1oKi1cE2Zons/VT7/gLYWrvfe052Pb9xQzqs2oFThwrpga%2B9eUHmmOrSm8mfWykp3egwLAy1fOTV2KtwAKFlSF2ytXav%2BuXiZJODKMQm4xGvjvffeo4/CF1lehS%2BSdu3a8fHHHzN16lT27t1r6E4YFxfHkCFD6NOnD6tXr8bGxobPPvuMX375xWQ5%2BuBtxYoVJtMdHBy4cOGC6mvJauh0s3R9hvJkcYK0sLBgxYoVXLp0iQMHDrBx40YCAwMJziI4SElJMfrbVLlmCn2VMgaQqampivkh69eXcV9ZvUatSpQoQYkSJYxXPn6s%2B1Fz5476BcrZs9oqcumS9ry5VZ7WgVzCwiA0VDHLHS0tHeiCLbUYVdOxB12wpSWv2kW6XmKiegCntQU1MlI17/3q2oqKjVUPUrUEUfp8WvKqBXh6jx5pyKv1RsLVq%2Bp5tb6X167lXlm3b%2BuCcTVa%2Bn6C7qJaLRhRC/z1kpPV82rotQDozmVa8ubTcNkYGal6kwbQFq2ALti6fFk5j4neKSbFxECGbuQZpXtUWlFCgsa8WgLZqCjpMvgfJyGrEBo0a9aMBw8ecObMGY4fP24IuMLDw3n8%2BDGDBw/GJu1O%2Bu%2B//55lOfb29vz555%2BkprvqiY6ONgQYrVu35uzZsya7JAYFBTFy5EhDORm7z4WHh1NeQz/85ORk4uPjcXZ2Zvjw4ezYsQMzMzN%2B%2BeUXLNP6HD1Nd%2BGZ01Ecb6S7MxkXF0d8fDylVB76KV%2B%2BPHFxcdy7d8%2BwLjw8HEtLS6PWNCGEEEK8YDJoRo69fq9YiL/BysqK5s2bM3/%2BfKpWrYp92kO8ZcqUIU%2BePJw9e5YnT56wfv167t27x71793j27JmhK9%2B1a9eIj4%2BnQ4cOxMbGsmzZMhISEoiIiGDQoEF8/vnngG5Uw27dujF06FD27t1LcnIyjx494ssvv2Tu3LmGZ786d%2B7Mt99%2By2%2B//UZycjLBwcFcvnyZDh06qL6WwMBA/Pz8uJPW1BAWFkZcXBz29vaUK1eOvHnz8sMPP/Ds2TO2b9/ObS3daRT8%2BOOPhIaGkpiYyMqVKylWrJihS6WlpSXXr18nPj7eaBsXFxccHR2ZP38%2BT548ISoqiuXLl9OhQwfMtTwoLoQQQgjxipCASwiN2rZty6lTp4yCmpIlSzJu3DimTp1KixYtiIuLY968eSQlJdG3b1%2BKFStGmzZtGD16NJ999hmFCxdm2bJlHDhwAHd3d/r160eLFi0YNGiQocwPPviAYcOGsXjxYurVq0erVq04fPgwa9euNUx83KFDB95%2B%2B20mTZpEgwYN2LRpE4GBgThoGJ1r4MCBVK1alS5dulC7dm3GjBnDhAkTqFatGsWKFWPChAl89tlneHh4cPHiRUNr3t/VvXt35s2bh7u7O/v372fJkiWG7pu9e/fm448/ZuLEiUbbmJmZsWzZMu7evUvz5s158803qVWrFjNmzMhRXYQQQgiRTdLClWPyDJd4LRw8eFAx/YsvvjD6u1y5cvzxxx9G69q0aZNpHYCfn1%2BmociPHj1q%2BH3RokVGaR4eHlk%2BLwW655IGDBjAgAEDFOs8ZMgQhgwZYjJN7fXMmjWLWbNmmdx20KBBRgFget26daNbt7/GV3N0dMx0TH7%2B%2BWejv4sWLcq6detMljd16lSmphsdK31ZDg4OrF271uR2DRo0yLTfubk5ypkQQgghdF7DACm3yREUQgghhBBCiBdEWriEEEIIIYQQpkkLV45JwCWEeGHUunK%2BktLmFsuSftAOc3P1vK8ytfne9CNppqaq581NDx4op%2BunKXj4EOLi1MurWlU5XT/MddGi8OyZct6CBZXTCxT4a6mSV210bX16vnzqedWuhfQzKeTJo21YeLX96UdUz5tX2yjhryS1OaD0n4Vnz9Tz5ja1ORH15yArK/Xh7XP7zUwbCMok/czalpbK%2BfTUhrTXf3DNzP76PStq86Dpj6m1tWretGkms5T%2BZWqakkHp/KlPe/78nz3PZpcEXDkmR1AIIYQQQgghXpB/670pIYQQQgghxIsmLVw5JkdQCCGEEEIIIV4QaeESQgghhBBCmCYtXDkmR1AIjQYNGsRnn332Uvb9wQcf4ObmxqpVq17K/rMjODiYxo0b/%2B3tnZycOHLkiMm0sLAwnJyciIyM/NvlCyGEECIbZOLjHHv9XrHIsfDwcMaPH0%2BjRo2oVasWXl5e%2BPv7Exsb%2B7KrlqtiY2PZsmWL4e/AwEDGjBnzUuqxYcMG5s%2Bfz5AhQxQDmsaNGytOqiyEEEIIIf5ZEnCJbLl48SI9evSgVKlSfPPNN5w5c4alS5fyxx9/0KdPHxISEl52FXPN8ePHjQKul%2BXx48cAVKhQ4SXXRAghhBCvHWnhyrHX7xWLHJk9ezaenp5MnDiRYsWKkTdvXqpVq8by5cupXbs2d%2B/eBeDOnTsMHTqUBg0aULduXcaOHWtoATtx4gR169blyJEjtG3bltq1azN48GDi0ubUuXr1Kj4%2BPtSrVw93d3dGjBhBTEwMAP3792fevHmG%2BmTsYubl5cVXX31F//79qVWrFr179%2Bb27duMHz8eNzc32rRpw4ULFwBd17dWrVqxZcsWmjRpQu3atZkxYwbPnj1jz549jBs3jvPnz%2BPi4kJERESmfX/99de0a9eOWrVq0bZtW7777jtDWv/%2B/VmxYgUTJ06kTp06NGnShJ07d2Z5XC9fvsz//vc/6tWrR4MGDZg5cyaJiYlcvXqVNm3aANC5c2eWLVuWrfdLqY76Y6V35MgRnJycDH%2BvWrWKFi1aUKtWLdq0aWNU/0uXLjFgwADq1auHh4cH/v7%2BJCcnG%2B173759eHt74%2BLiwqRJkwzpz58/Z%2BnSpbRq1QpXV1e6du3KsWPHTNb//v37%2BPr64ubmRocOHTh//rxRulIdhRBCCCFeBTJohtDs/v37nDlzhi%2B%2B%2BCJTmo2NDR9%2B%2BKHh72HDhlG5cmUOHDhAQkICo0ePZubMmSxcuBCAp0%2Bfsnv3boKCgnj69Ck9evRg8%2BbN%2BPn5MWfOHOrUqcOaNWt4/PgxkydPZvny5UydOlVTPTdt2sSiRYuwtbWlS5cuvPXWW8yZM4eAgACGDx/OkiVLWLFiBQBRUVGEhISwd%2B9ebt26xYABA3B0dGTAgAFcuXKFn376ic2bN2fax8GDB/nkk09YuXIltWrVYt%2B%2BfUycOBFHR0dD0LJx40YCAgIICAhgxYoVzJ49m/bt22Oun7QyTVJSEoMGDaJLly6sWrWKu3fv8s4777Bw4UImTZrE999/j7e3Nzt37sTR0VFzl0EtdczKmTNn2LBhA5s3b6Z06dL8/PPPjBw5Ek9PT6ytrfH19aV///6sXr2aqKgohg0bxtq1a3nnnXcAXavc6dOn%2Bfbbb7l27RpvvvkmLVu2pHXr1mzcuJEtW7awcuVKKlasyJdffsmwYcPYv38/RYsWNapHQEAAiYmJHDp0iISEBCZMmKCpjhnLycrdu3eJjo42Wlfc2poSRYpkvVHJksZLJW5uyunOzsbLnMpOeaVLK6c7OhovFZQqpZyufzs0vS12dsrpNjbGSzXZmfhVjVors/6Yqh1b1I%2BF/jCoHQ5QnxM2/fyxWuTqW6D2WaxY0XipRO09cnAwXiqxt1dOL1PGeKmmcGHl9OycNzJ8R2SSflZsNWr/v%2BXKGS/V6Gf9NaVsWeOlmvh45fTy5Y2XSpTO2ZCtfyi1OZvTT3ysiVL99SdPtZMoQESExh2%2BAK9hi1Ruk4BLaBaR9s9eUeWL8eLFi4SGhrJy5UpsbGywsbFhyJAhDB8%2BnKSkJABSUlLw9fXFzs4OOzs76tatS3h4OAAPHz7EysqKfPnyYWdnx7Jly8iTjX/25s2bG%2Bro6urK48ePDc88eXp68vXXXxvyJiYmMmbMGPLnz4%2BjoyMdOnTg0KFDDBgwQHEfW7dupWPHjtSrVw%2BA9u3bExgYyA8//GAIZtzc3GjSpAkA7dq1Y8mSJdy9e5eyGb6Mjhw5wtOnTxk5ciQWFhbY29vz1ltvsWbNGiZNmmRy//fu3cPFxSXTev3x1VrHrDx69Ig8efJgZWWFmZkZnp6enD59mjx58rBnzx5SU1N5%2B%2B23AShfvjyDBw9m5cqVhoArMTGRkSNHYm1tTfXq1alUqRJXr1411Ktv376GOgwaNIg1a9Zw6NAhunfvblSP/fv3s2DBAsPnpF%2B/fvz666%2BqddQqKCiIJUuWGK0bMXw4I0eNUt/Yx0c9z%2BTJ2iqyaZO2fFrlZnmLFqlm8dVYVNeuWnI111ZY2uc61xQqpJ7H319bWcOHq2Z5Q1tJNGumMaMGatfxel5e2vLVr6%2BlsCBthc2dqy2fFgEBuVeWlnNBdmg5b2ilFmQAZDi/ZWnKlJzVJb1x43KvLID33su9spo2Vc1SWWNRWuJAQFv9fTWcRdO%2Bc18KCbhyTAIuoZlZ2u3R58%2BfK%2BaLjIzEzs6O4sWLG9bZ29uTnJxMVFSUYV25dHfU8ufPb3j%2Ba8SIEUycOJEdO3bg6elJx44dcXV11VzPUunuFFlaWmKT7jaspaWlUVBiZ2dHkXRfWmXKlOHo0aOq%2B4iMjMTDw8NoXYUKFbh586bJ12eVdsvM1DNukZGRlC9fHgsLC6Oybt26leWxLlasGD///HOm9ekH09BSx6w0bNiQ6tWr4%2BXlRcOGDWnatCmdO3fG2tqaiIgI7t%2B/bxTwpaamGtW/cOHCFChQwPC3lZWV4bhHRkbimOGuq729faZ6xcTEkJCQYHQcHdLduVaqo1a9evXCK8PVZfENG%2BCjj7LeqGRJ3UXT%2BvWQ7vNsUpDKxaazsy446tsXLl3SVOdcK09LC9eiRboLzrAwxaxruu5WTC9aVBdsbd8O9%2B8r79a38iHlDDY2umDr1Cn1O%2BQAJm5MGMmbVxdsxcZCSopy3gULlNNLl9YFW0uXwu3bilm/qa8cvNnZ6YKtw4chrbd1ltq2VU43M9MFW8nJkJqqnBdA7RRoY6MLtn79Vf0t8FrZSzlDxYq6YGvKFEi7KZMlLS1cAQEwdSpcu6acV0sL16hRuv%2BBW7eU84K2Fi6t542BA5XT8%2BXTBVsPHsCzZ8p5Z89WTi9XTnfs584FLaO/qrVwjRsHn34KGr5nNLVwvfee7kaHWutOx47K6XZ2umDryBHVf6gr1Topplta6qoWEQGJicq7Baj8tcL/eqlSumBrzRq4c0e9MGFw8%2BZNZs2axblz57C2tqZ9%2B/aMHz8%2B003XQYMGcfLkSaN1z549Y/jw4YwYMYL%2B/ftz5swZo%2B0qVqzIN998k6v1lYBLaGaf9gV1%2BfJlSip0i0gf0GRklq5PS1YtEc2bN%2BfQoUMcPnyYAwcO0K9fPyZNmkS/fv0y5TUVkGQsV6nFIyXDBVZqaqpRHbOS1WvU8vr%2BTll/R3bLTX8sLSwsWLFiBZcuXeLAgQNs3LiRwMBAgoODsbS0pEqVKnz77bdZ7lup7lrrlb41VC813dWiUh1tbW2z3H96JUqUoESJEsYrnzzR/aiJilK/QDl7VlM9uHRJe97cKk8t8tELC4O05x6zcqehtqLu39dwTVFcJbrQi49Xj0RA/YJULyVFPe/169rKun1bNe999Z6agO4lqr1VWoIofT4tebUcVtD4Fmi9kXD1qnpeLd0%2BQRdsqZWlFlzr3bqlHggCpA1upErLeSPD87BZevZMPa/KzRKDyEhtedX624Eu2ErrsaJI6wctIgIuX1bO8%2BCBtrLi4lTzah37KzFRY14tXQHv3Hm5XQbVvIItXCNHjqRGjRrs37%2Bf%2B/fv8/bbb1OsWDEGZrhhERgYaPT3w4cPad%2B%2BPa1atTKsmzNnDt26dXuh9X31jqB4ZRUuXJj69euzbt26TGlPnz6lW7dunD59mvLlyxMXF8e9e/cM6eHh4VhaWioGanoxMTEUKFCA9u3bM3/%2BfGbNmkVQWkuBhYWFUSvRjRs3cvSa4uPjeZDu5Hvr1i1NdbS3tzd0gdQLDw%2BnvOY%2BBn8pX748ERERRoFIeHg45cqVy1b3uOzWUelYJicnEx8fj7OzM8OHD2fHjh2YmZnxyy%2B/YG9vT0REhGH0RNC9Z/FaWhtM1OvZs2dcv34907ErUqQI5ubm3E7XUnDlyhVNdRRCCCHEf1NISAiXLl1iwoQJ2Nra4uDggI%2BPj%2BFaUclnn31Gq1atVB%2BtyG0ScIlsmTZtGr/99hvjxo3jzp07PH/%2BnIsXL%2BLr64uVlRWurq64uLjg6OjI/PnzefLkCVFRUSxfvpwOHTpkGjAio4SEBMNoc8%2BePSMhIYHQ0FBD65qDgwPHjh0jLi6O6Ohoo%2Bex/g4LCwuWLl1KQkICV65cYffu3YYuZpaWlkRHRxMbG5upVaZz5858%2B%2B23/PbbbyQnJxMcHMzly5fp0KFDtuvQtGlT8uXLx9KlS0lKSiI8PJwNGzbQpUuXHL02tTo6ODgYBqO4fv26UYtVYGAgfn5%2B3ElrjggLCyMuLg57e3s8PT0pUqQIH330EfHx8URHRzN69GijERzV6rVp0ybCwsJISkpixYoVpKSkZOraZ25ujoeHBxs2bODRo0fcvHmTjRs3aqqjEEIIIXLJCxgW/u7du4SGhhr96Ee6VhMaGkrZsmWxSzcISo0aNbh69arizd/r16%2BzY8cORo4cabT%2Bu%2B%2B%2Bo3379ri5ueHj45Pjm/mmSJdCkS3Ozs5s3ryZxYsX07VrV548eUKpUqXo2LEjfn5%2BhoBq2bJlzJkzh%2BbNm5M/f35atmxpNMJcVqysrFi4cCEff/wxM2fOxMrKinr16jFjxgwABg8eTGhoKE2bNsXe3p7Jkydz5MiRv/16ChYsSNWqVWnVqhWPHj3ijTfeoHfv3gC0bNmSTZs20bx580xN0h06dODmzZtMmjSJe/fuUalSJQIDA42eMdKqQIECrFq1irlz59KwYUMKFSpEly5dDANQ/F1qdRwzZgwTJ06kQYMGVKtWjcGDBzN69GgABg4cyK1bt%2BjSpQsJCQmULl2aCRMmUK1aNUD3/vr7%2B9O4cWNsbGzw9vZmssYBIgYNGkRMTAx%2Bfn48fPiQatWqsWHDBgoWLJgp7wcffMDkyZNp2rQppUuXZtSoUZw5c0ZTHYUQQgiRC15Al0KTg1aNGJEpGDIlNjY20zWDPviKiYkxenY/vVWrVtG9e3ejZ/cdHR3Jnz8/8%2BbN4/nz5/j7%2B%2BPr68uuXbuMnk3PKQm4RLY5Ojry2WefKeZxcHBg7dq1JtMaNGjAH3/8YbRubroRqho2bMj27dtNblumTJlMrVrpyzp48KBR2oIMD7n36dOHPn36GK3r1asXvXplfrC7UqVKHDp0yPB3xuHwhwwZwpAhQ0zWM2PecuXKZXrN6bm6urIpi5HlMm7brVu3LPsaZxxIQ6mOzs7OmZ7D0u/HwsKCWbNmMWvWrCy3/fLLL02mmapf%2BqH18%2BXLx%2BTJk7MM0NK/1pIlS7J%2B/fos05XqKIQQQohXk8lBq9INtqYmVevDq2liY2PZuXMne/bsMVr//vvvG/09e/ZsGjRowOnTp2nYUOMDyhpIwCWEEEIIIYQw7QW0cJkctEqjIkWKEBsba7QuNjYWMzMzo9ar9A4cOEDFihVVn7W3sbHBzs7OaFTt3CDPcAkhhBBCCCH%2BFWrWrMnt27eNBj0LCQmhcuXKRlPSpHfgwAGjqXNAN3Da%2B%2B%2B/bxRcPXjwgAcPHvytQdCUSAuXeG0pdc0Tr7G0iZWzpB/KODQUFLqJArp5gZSUKfPXMiZGOa/K/HfAX3NrlS6tPpa42kPBRYvqlrdvq%2BYdP165KP2I//36aRiWfO4Z5fTSpaF5c92w3ypzXQGgNoefvo9%2BQkBsS3oAACAASURBVAIoTGkBQMuWyun6O6sNGkCVKopZB/ZQGUY8Tx4gP2%2B0eqr%2B3seqjBCaLx8ULYrFo/uahsmvXVt5pFb9IXNyUj9kqrMo6%2BfZq1//r/%2BHrOTPr5yu375RI/X/PbX52fTzajVvDrVqKecF9QOh/2xUr66be0lJuhF%2BTcqfH0qU0M0d9/Spcl61%2Bcj08xbevq2eV42%2BFUTLsPygq7%2BSfGmXqFevwsWLynnV5krTTwMQHa06D1pN%2Bx%2BVy7KxAdypHHNS21yAx49nnaY/BiEhuTMX44vyig0LX716dVxcXJg/fz7vvvsuUVFRrFu3jkGDBgHQtm1b/P39qVevnmGbixcv0qhRI6NybGxsOHfuHP7%2B/syZMwczMzNmzZqFk5MTbm5uuVrnV%2BsICiGEEEIIIV4dL2CUwpxatGgRd%2B/epXHjxvzvf/%2BjS5cu9O3bF4CrV6/yJMN8mtHR0RQrVixTOUuXLiU1NZU2bdrQvHlzkpOTWbVqVY6m5TFFWriEEEIIIYQQ/xqlSpVi9erVJtNMDVJ24cIFk3nLlCmTabTEF0ECLiGEEEIIIYRpr1iXwn8jOYJCCCGEEEII8YJIwCVeS15eXnz11Vd/a9sjR47g5OQEwMmTJ3FxcSFJ9cnx/7b0x0QIIYQQ/yGv4DNc/zbSpVC8sry8vIiKijL54OKHH35Ix44dX0KtjLm7uxMSEpIrZZ04cYL//e9/nD9/HktLy1wpU6vY2Fj27dtHz549c73syMhIvL29MTc3xyxtuLq8efNStmxZ3nrrLcNDrjkVGhpKXFxcplGIhBBCCJEDr2GAlNsk4BKvtPfee48%2Bffq87Gr85x0/fpwtW7a8kIBLb%2BfOnTg6OgLw7NkzfvnlF0aPHk3BggVzJXjetm0b1tbWEnAJIYQQ4pUiIav41/rzzz%2BpVasWl9LmrkhNTaV37974%2B/sD8PTpU6ZPn06DBg3w8PBg%2BvTpJrv%2B9e/fn3nz5hn%2BDgsLw8nJicjISACuXbtG7969cXNzo2fPnly/ft2Q98SJEzg5OZGYmAiAk5MTe/fupU%2BfPtSuXZtOnTrx%2B%2B%2B/G/Jv2bKFRo0aUa9ePT755BOmTZvGlClTTL6%2BKVOmMGvWLGbMmIGbmxve3t6cOXOGVatW0bBhQxo2bEhwcDCga0VycnLihx9%2BoEOHDri6utKvXz%2Bio6MBCA4OzjTh35tvvsnixYvZs2cP48aN4/z587i4uBAREcHz589ZtGgRLVu2pFatWnTv3p3Tp08btlU6Jlrky5ePpk2b0r59e/bt22dYf%2BzYMXr16oWbmxtNmjRh6dKlhrTFixczdOhQVq9eTePGjXF3dze813PmzGHTpk0EBgbSqlWrbNVFCCGEEAqkS2GOSQuX%2BNeqWrUqAwcO5IMPPuCLL77gm2%2B%2B4e7du4wbNw6ATz/9lCtXrrBnzx4AfH19Wbp0KWPHjs3WfqZMmULZsmUJDAzk9u3bjB49WjH/mjVrmDt3LqVLl2bEiBEsWLCA1atXExoayvTp01m4cCHNmzdn9erVbNmyBS%2BFiUG/%2B%2B475s6dy7Rp0xgxYgTjxo2jZ8%2BeHD58mDVr1hAQEECXLl0M%2Bb/88ksCAwOxsrJixIgRvP/%2B%2B0ZBiynt2rXjypUr/PTTT2zevBmAdevWsXv3btasWUOZMmUICgpi6NChHDp0CGtr62wfk6wkJycbfr9z5w7Dhg1j5syZdOrUiStXruDr64u9vT2dOnUC4MyZM7i6uvLjjz9y%2BvRpfHx8eOONN5g%2BfbohAJ8wYYLm/d%2B9e9cQlOoVL16cEvpJSk2pUMF4qaR4ceX0tBY/w1KJ6ozB2SxPP7FxVpydjZcK9BMbq6Wr5QP%2Bmrw5K/p5VEzMp2KSfpberJibGy%2BVKH0uAOzsjJdK1C440h80tbz5VL7K8%2BY1XqrIzUNmmNg4KyVKGC%2BVqHW11v%2B/qf3fwV8TG2elYEHjpZp05zKTsvPZUJvgWX8ctHQ9r15dOb1iReNlTmS3rEePlNMrVzZeKimpPFm34Xyndt6DtImNFegni9Yv1SidQ7NzzF7liZGFKgm4xCvN39%2BfgIAAo3XW1tacOHECgGHDhvHGG2%2BwZcsWFi9ezAcffIC1tTWpqans2LGDgIAAiqRdJAUEBPDw4cNs7T86OpqzZ88ya9YsrK2tcXR0pFu3bnz00UdZbtO5c2cqVaoE6J5DW7t2LfDXwBJt2rQBYOjQoWzZskVx/w4ODrRo0QKAxo0bc%2BLECfz8/LCwsKBFixYsXLiQ%2B/fvG/L37duXkmlfPD4%2BPowZM4bnz59n6zUDbN26FR8fHxwcHABdK%2BDnn3/OoUOHcHd3z/YxySgpKYmjR4/y/fff8%2BmnnwKwa9cuqlSpYgggnZyc6N27N/9n78zDa7y2Bv5LggyGSBBDCBoRrSacEKFCBlEiRUyVBJcmxhiqqIr5xtRJqSFCo%2Bg1pVW38aFtGuSmFFcbt8KtoTEkggqSEGSQ5Pvj5JybQ8673zRRvdf%2BPY/nlbPXWXt4h7PXu9deKy4uTm9wmZmZMW7cOExNTenSpQu2trakpqbi6upa4T4CxMbGPpF/Y1J4OJPVGJCLFv2uOsvl44%2BrThfAqlVVp2v7dqGIhUpVqrYmjh%2BvTtngwSprVYmaCb%2B9vTpd3btXri1lsVAxuqIJuo66dVWJqeylqiFj%2BnR1ykaMUFmrCoYOrTpdVe2iXJXXhpqXPl9%2BqU5XGS%2BPSlOVugCioqpOV//%2BVaerbVt1crGxYpl33xXLtGunrr6nwXO4IlXVSINL8qdGtIerRo0aLFq0iBEjRvDaa6/RrVs3ALKysrh79y5Ny7xdbaPiTf3j/PbbbwAGenRGiDHKylpaWurdDTMzM7EvM2EzMzPjJcHbx0aNGun/b25ujq2tLTVKXz/rjjr9AC3LvCWzt7enoKCA7OxsxTrKIy0tjSVLlhgYu8XFxVy/fv13jQloDVFd0IxHjx7RrFkzFi1ahJ%2Bfn77OlJQUXFxc9N8pKSkx6FOTJk0MgqhYWlqSl5dX4f7pGDp06BMrjA3eeQfKuE8%2BQfPmWmNr3jwQuVLeuaNc7uioNbbefBNSU5Vl1a5wrVoFU6aI9V2/rlzepo3W2AoJEb5ZzfshWbHcxERrbOXni7thsTlaWaB%2Bfa2xtWsX3LqlLAtQaqwbpXp1reVw86Z4lSJZuZ9YW2sn1ElJkJOjLFt63RvFxERrbOXliQftwQPlcjMzrbGVnQ1FRcqyQEae8ipARYbMfudyZQE7O62x9be/aRUqoWaFa%2BhQ7QT3sZXrJxCtmtSpozW2fvgB1LyoU7PCpfbaEEV8NTfXPoeuXNHeVEpERCiXt2ypNZBmzIBLl5RlRVRUl5oVrqgoCA%2BHX39Vlg0KUi6vV09rbMXFQZmXlOVS5jeoXKystMbWmTPiew%2BUDdCWLbXG1qxZlR//p4k0uCqNNLgk//VcvXoVS0tL/d4jU1NT/aT896zulP2Obs9XUZlJikiniRG/qeLiYqo95vpTXgRGpXKRfNm2lQgmaUUKEy8LCwsWL16sX40rS3LppLMiYwKGQTM%2B%2BugjDhw4gL%2B/v0GdXl5eREcbn3CL%2Bl9R7OzssHv8NX1mpniyBtrJTjnZ7A0QTSB1pKZqf7yVqMi1nJoKp08ry6SlqdN19iycPKkoosYW1MkJZUWGoI5bt9TJqk3ZUFgolhUZ0DpycsSyovOpu9ZLSsSyjx6pa1dRkSrZqhwySvfCCrl5UyyrdiUvMxOuXVOWUeNaBlpjKytLLKd20NRcGw8fqtOVny%2BWLbOHWJFLl9TLVpUutS8Df/0VRNGASz1BhNy%2BDaUvDY2i1iXywQPIzRXLqXEFvHRJugz%2BjyNNVsl/NXfu3OG9995j/fr1PHz4kL/97W8A1K1blzp16nCpzBujM2fOEBcX94SOGjVqGKySpJWZiOom49fLTOxSRSsHRqhXrx7XykwCioqKDAJqVAVl256RkYGFhQU2NjaYm5vzsMwPc1FRERkZGUb1NGvWjHOPGRO6ICJVMSbh4eHk5%2BcbGFcODg6cP3/ewFDMzMx87nOcSSQSiUTyTJFBMyrN89djyf8US5cuxcfHh06dOjF//nxWrlypNyQGDhxITEwMv/32G1lZWSxatIgLFy48oaNFixYcPXqUnJwcMjMz2blzp76sadOmODo68umnn/Lw4UPOnz9frtGmhs6dO3P69GkSExMpKChg3bp1lXKHK48dO3Zw69YtsrOz2bJlC15eXpiYmNC8eXPu37/P4cOHKSgoYP369QaGjbm5OZmZmWRnZ1NQUEBQUBDbtm3jX//6F0VFRezfv5/XXnuNa9euVcmYWFhYsGDBAjZs2MD58%2BcBCAgIIDs7m6ioKPLy8khPTyc0NJQtW7ao0mlubs7Vq1fJEbnrSCQSiUQikfyBSINL8qdm8eLFuLi4PPEvIiKC77//nqSkJN5%2B%2B20AOnbsyKuvvsr8%2BfMBmD59Oq6urvTp04c%2Bffrg5OTEpEmTnqgjLCyM2rVr0717d0JDQxk5cqRB%2BapVq7h48SJdunQhIiKCsLCw39UXd3d3pk6dyowZM/Dy8qJatWp4eHgYdUH8PfTr14%2BRI0fq97ItWLAAgJdffplRo0bx1ltv0b17d6pVq4ZGo9F/z8/Pj5KSEry9vTl9%2BjSDBw8mJCSESZMm0aFDB2JiYlizZg1NmjQBqmZMunXrRs%2BePZkzZw5FRUXY2NgQFRXFgQMHcHd3Z/jw4fj4%2BBAaGqpK38CBA0lKSuLVV19VdJeUSCQSiURSAeQKV6WRe7gkf1oOHjwolPnnP/9p8HfZSHk1atQgMjKSyMhIRd1NmjQxWNUCDNzpWrVq9UQ0wUGDBgHg4eFhIPu4G97AgQMZOHCg/u/Q0FDGl4nCNnz4cDp27Fiurncfi1oUHBxsEEDE0dFRL69z92vfvj379u17or8AERERRBjZQP3CCy%2BQmJho8Nmbb75pNNy70pg8TtOmTZ8YFx0rVqww%2BLtz58763GKPM3nyZCZPnmzwWdnzqDOsJRKJRCKRVCHPoYFU1cgRlEj%2BINLT09FoNBw8eJDi4mIOHz7MyZMn6V6VYYIlEolEIpFIJH8q5AqXRPIH0axZM959910%2B%2BOADpk2bRsOGDVmwYAFubm7PumkSiUQikUgk5SNXuCqNSYkodrREIpE8TwhCoGNpqc1RdfasMCTz4n0axfJGjWD0aIiJgRs3KtrQyukT5aOtSBooSyvBPkSNRpvDys1NPL7x8crltWtD585w7Jg4jw9A%2B/bK5dWqgY2NNvS3IGR68JQGiuUtWsCyZdrUR5cvK1e745qXsoCTk/ZEjh4N5QT7MWDxYuXymjW1Y5%2BcDPfvK8sClAayMUq9ehAYCF99JcxpNDJJeX9n8%2BYQGQnz54vT2okCllZk/EWR9iuaHkn03qxhQxg1CjZvFkclfydIMBA1akDjxtq0CKJBKZPLsVxMTLT6CgrU5XdQyklWgXtJqAu07WrWDNLThf182MRRsbxCz7NXuykLtG4NGzdCWJj4XgHlxM0WFtp7/cIFbeNEiHKEPS2GDat6ndu2Vb3OPzFyhUsikUgkEolEIpGUj1zhqjTS4JJIJBKJRCKRSCTlIw2uSiNHUCKRSCQSiUQikUieEnKFSyKRSCQSiUQikZSPXOGqNHIEJb%2BbjIwMXFxcuKRmR/F/GS4uLhw5cqTcstTUVJydnfW5r6qS0NBQVq5cqUrW19eXHTt2VHkbJBKJRCKRSPTIxMeV5vnrscQovr6%2BtG3bFhcXF1xcXOjQoQMhISFPJBfWYW9vT0pKCi1btqx03bt27eLOnTuqZHfv3o2zs7O%2Bnbq2BgcHc/To0Uq3BSAlJYWuXbtWiS4lsrOzDRIIf/rpp0ydOrXCenbv3v2HtFeJoqIiNm3a9NzVLZFIJBKJRKKENLgkBsydO5eUlBRSUlI4fPgwfn5%2BjB07lvT09KdWZ1FREe%2B%2B%2By5ZWVmqv1O/fn19O3Vt9fX1Zfz48aSlpT21tlY1x44dMzC4/pv597//TUxMzHNXt0QikUgk/9PIFa5K8/z1WKIaS0tLQkNDsbOzIykpiREjRvDBBx/Qt29fxo4dy9WrV3F2diY1NZWpU6cSERFh8P3Nmzfj7%2B8PQFpaGmFhYXh4eODh4cG0adO4W5qDo1OnTty7d4/%2B/fuzZs0aAI4ePcrQoUPRaDR069aNtWvXCts6ZswY7Ozs%2BP777/Wfb926FX9/f9q1a0dAQAAJCQn6ssTERPr27YtGo8HT05MPPviA4tLkLM7OziQlJQFw%2B/ZtRo8ejUajISAggFOnThnUnZGRwfjx4/Hw8MDd3Z2ZM2eSm5sLwPHjx%2BnQoQNJSUn07t2b9u3bExYWRk5ODl9//TXTpk3j1KlTuLi4kJ6ezogRI/jwww8BKCkp4cMPP8TLywuNRsOAAQM4ceKEqnM3YsQIoqOjefvtt3Fzc6Nbt27ExcUBMGTIEP0461i8eDFhYWHC/jx8%2BJB33nmHLl26oNFoCAoK4vTp05w6dYqgoCBu3bqFi4sLx44dY/Xq1YwfP57Vq1fj7u6Op6cnCQkJ7N69Gy8vL9zd3Vm3bp2%2BDdnZ2cyYMQNPT080Gg0TJkzgt9KENbpr7ciRIwQGBtK%2BfXuCgoK4evVquXVLJBKJRCKR/FmQBpdESFFREWZmZgDs27ePJUuWsH79egOZ3r17c%2BjQIYqKivSffffdd/Tp0wfQrpzpjKGvv/6aS5cuEVWaDFBnCMTFxTFp0iRu3LhBeHg4wcHB/Pjjj8TExLBz507%2B7//%2BT9jWR2WSLcbHx7NmzRo%2B%2BOADfvrpJ958802mTp3KtWvXKCws5K233iIiIoLk5GS2bt3Kt99%2By8GDB5/QuXTpUvLz80lMTOTTTz9l9%2B7d%2BrKSkhLCw8Np3LgxiYmJfPPNN/z222%2B89957epmHDx%2Byb98%2BYmNj%2Beabbzh37hyff/45/v7%2BTJgwAVdXV1JSUmjWrJlBvXFxcXz11VfExsby448/0qNHD6ZMmWIwxkps27aNfv36cfz4cV5//XUiIyMpLCykd%2B/eBoYnwIEDBwgICBD2Z8uWLdy6dYvvvvuO48eP061bN%2BbNm4erqyuLFi3Srzx27twZgJMnT1K/fn2OHDmCj48PCxcuJCUlhfj4eObMmcPq1au5XZo4ddasWeTl5bFv3z6%2B//57rKysnjDiP/vsM9avX09iYiIPHjwgJibGaN0SiUQikUiqALnCVWlklEKJUe7fv8/OnTu5c%2BcOXl5e7Nu3D1dXV1xdXZ%2BQ9fb2Jj8/n59%2B%2BolOnTpx%2B/ZtkpOTiYyMBGDDhg2YmJhQo0YNbG1t6datG8nJyeXWu3fvXpycnAgMDAS0q01BQUHExcXRt2/fcr%2BTm5vLli1byM7Oxs/PD9DuCxs8eDAvv/wyAK%2B%2B%2BiodOnRg7969hISEkJeXh5WVFSYmJrRo0YL4%2BHhMy3kIJCQksGLFCqytrbG2tmb48OH6fW0pKSlcuHCBHTt2YGlpiaWlJZMnTyYsLEzf96KiIkaPHq3/focOHbh48aJw/Pv27UuPHj2oXbs2AAEBAaxevZpr1649YZyVh251EMDf3581a9Zw8%2BZNevfuzQcffEBGRgb29vacPn2azMxM/Pz8hP25e/cu1atXx8LCgmrVqhEeHk54eLjRNlSvXp3g4GAAvLy8%2BPzzzxk7dizm5ub4%2BvpSVFSkd1c9dOgQ%2B/fvx9raGoAZM2bg7e1NZmamXl9wcDANGzYEwNPTk5SUFOE4KHHz5k0D/QANcnOxa9DA%2BJfMzQ2PCjRqpFxer57hsbJURJ%2BJibpykRwAGo1yeZs2hkclSq93o1hZGR5FVBP8zJW%2BTNIfFWjRQrm8SRPDoyI1nZTLHRwMj4q6aiqXW1oaHkWILqDSe1R/VKB5c%2BXyxo0Nj0oUFiqXV2T8S0qqThdA6WPJKLa2hkdFatRQLtdd06JrG6r4RhfUWYF7CRD3s3p1w6MCVdrN1q2VyytybwJYWBgvq8DvCXl56up7GjyHBlJVIw0uiQGLFy9m6dKlAFhYWPDiiy%2ByefNmGpf%2BGtrb25f7PQsLC7y8vEhISKBTp04cPHgQJycnHB0dATh9%2BjTLly/n3LlzFBYWUlRUpDeEHictLY2UlBRcXFz0n5WUlBgE59C5j%2BkoKCigU6dObN68WT8hT0tL48iRI2zZssVAT6tWrahVqxYTJ05k%2BPDhuLq60rVrVwYOHKjvp46srCzy8vJo2rSp/rMWZWZd6enpFBUV4eHhYfC9oqIigz1pZb9vaWlJnooH58OHD1m6dClJSUnk5OQY9FUNZeu0KH3g5%2BXl4ejoiIuLCwkJCYwcOZLvvvuObt26UadOHWF/QkJCCAsLw8vLi27duuHn50ePHj2MtqFRGYujRumPq%2B78mJf%2BwOTn5%2BuNLp2RrcPMzIzr169jWzpLeXwc8/PzVY2FMWJjY59wr5w0cSKTp0wRf1lFsJjRKuwLgAED1MmppSr1qZkHYOTlyRNs316pthhQzoufSlGnjlBk2TJ1qiZPViOlcs/h/Pnq5NTw4ovq5Nzc1Mn5%2BAhFIgOFIgBMmKBOTg3qxl8dah4FFaFfPzVSKqxPAKUXQxVFhVEDiI0kUHUvAWBjo05O9OYKUDBpDFD1PNu4UZ2yBQtU1qoCNcZbJV8wSp4t0uCSGDB37lz9ikR5mCm8ufL39%2Bf9999n9uzZxMfH690Jc3JyGDt2LMHBwXzyySfUqlWLlStX8sMPP5SrR2e8RUdHG61L56YGWiMqODgYBwcH2rVrZ6Bn%2BvTphIaGlqtj0qRJDBkyhISEBBISEoiJiWHLli0GK3g646asG19JmVej5ubmWFlZcfLkSaNtBcpdORPx17/%2BlXPnzrFt2zaaN29Oeno6PXv2VP19pTr9/f0NDK4JpbMdUX9sbW3Zv38/x48f5%2BDBg8yfP589e/awatUq1W0o7zOdQZiUlIRNOT/CuhD8Jmrfwqpk6NCh%2BPr6GnzW4M4dOHvW%2BJfMzbXG1qVLIDD4Yg4rW1z16mmNo7//HUo9KytFRfQNH65cbmKi7Wp%2Bvng1wOIVwQS9TRutsRUSojy2AKWuxkaxstIaW6dOwYMHyrIAzs7K5WZm2gni3bsgcNeNeF95gtikiXayv3o1XLumXO2yzNHKAg4OWmMrMhJEgYAUVpkB7crWiy/CL7/Aw4fKsiCuz9paa2wdOgRlXgaVx/xkZYurcWOtsbVuHVy/rlytmhUuteOvZoVryhRYtUqsC8SLt7a2WmNrzx4QBeQd1UswENWqaY2tzEwo40ZfLqLVShMTrbFVWCgeFID7942XVeBeAqB0b7BRqlfXGls3bghPfl4DZa%2BPCj3PJoYpCzg4aI2tv/5VfK8AzJplvMzcXKsvLU34e/JMkStclUYaXJIqw8vLi1mzZpGcnMyxY8eYN28eABcvXuT%2B/fuEhYVRq1YtQBtVzhgODg4kJCRQUlKin2BnZmZibW2tXyUpi4mJCZGRkQwcOJDXXnuNLl266PWcO3fOQPbatWs0btwYExMTsrOzadiwIcOGDWPYsGFEREQQFxdnYHDZ2tpSvXp1rl%2B/zoulb4d//fVXg7Y%2BePCA9PR0vZtfbm4uhYWF5RoOFeHUqVMMGTJEv6J25syZSukrS69evVi%2BfDk///wzGRkZeqND1J/79%2B9TvXp1XnnlFV555RXeeOMNfH19KxRhsjzs7e0xNTXl3Llz%2Bj1YhYWF3LlzR78i9jSws7PDzs7O8MOTJ9VNSvPzhXI3bqhrx%2B3b6mWrSp%2BauZVOTigreOGg5%2BxZsey9e%2Bp0PXigTlY0IdVRVCSUvXxZnapr11TIXrugTllaGlwQyCpNgsvy8KE6WbXWf06OUPbKFXWqrl8Xy6pc3Fc1/qXxkVTpUpNqUu3j/s4dKI0FZBy1HX30SCxbpTc66u4nFfcSoL6fhYVC2Srt5vnz6pSlpamTVeMKmJ//bF0GJU8dabJKqgwLCwu8vb1Zvnw5rVu3xqF0ibxJkyaYmppy8uRJHjx4wObNm7l16xa3bt3i0aNH%2BtWNy5cvk5ubS0BAANnZ2URFRZGXl0d6ejqhoaEGroGP07p1a9544w3mz5/Pw9JJ8NChQ9m/fz%2BJiYk8evSIY8eO8dprr/Hzzz9z8uRJ/P39OXXqFCUlJdy%2BfZtLly7p26yjevXqdO7cmc8%2B%2B4x79%2B6RkZHBtm3bDOrVaDQsWbKEO3fucPfuXRYsWMDMmTNVjZm5uTmZmZlkZ2c/4SrYtGlTUlJSKCgo4F//%2Bhf79u0DtPuOKou9vT1t27bl/fffx8vLi5qle0BE/ZkyZQrvvfceubm5FBcXc/LkSerWrYu1tTUWFhbcu3eP3377TZXLZFlq165Nnz59%2BPDDD7lx4wZ5eXl89NFHhIaGGqwoGqMydUskEolEIlFABs2oNM9fjyVPld69e/Pjjz8SEBCg/6xhw4ZMmzaN2bNn4%2BPjQ05ODh9%2B%2BCEFBQWEhIRQv359evXqxZtvvsnKlSuxsbEhKiqKAwcO4O7uzvDhw/Hx8THqGqhj4sSJFBcX8/HHHwPQtWtX3nnnHSIjI3FzcyMyMpKFCxfSvn17fdjxqVOn0q5dOwYMGEC7du0YNmzYE3qXLFkCQPfu3RkzZgwjR440KF%2B%2BfDklJSX06NGDnj176vOKqcHPz4%2BSkhK8vb05ffq0Qdn06dNJTU2lU6dOrFixgnnz5tGzZ0/Cw8OrZLWrvHMl6s%2BiRYu4cuUK3bt3x93dna1bt7J27VpMTU3p3LkzTZs2xc/Pr9xojyLmzZtH8%2BbNCQgIoFu3bvz6669ERUWpciOsbN0SiUQikUiMIA2uSmNSoub1sUQikTwviFzeLC21GzbOnhW6FC7epxy9r1EjGD0aYmKqxqWwIvqmT1cuNzHRBtfKyxO74FhaCYxijUYbWMPNTTy%2B8fHK5bVrQ%2BfOcOyYOpfC9u2Vy6tV0/qDZWUJ3aCCpygHePWT0gAAIABJREFUKWjRQhtYIyJC7NK245qXsoCTk/ZEjh4tdilcvFi5vGZN7dgnJ6tzKRS5SdWrB4GB8NVXQpfCkUnK%2B2GaN9duU5s/v/IuhRUZf5FLYcuW8O672u03alwKRXFGGjaEUaNg82axS%2BE7QYKBqFFDu/nt%2BnXxoIgCTpiYaPUVFKjzyyvNn1kuFbiXhLpA265mzSA9XdjPh00cFcsr9Dx7tZuyQOvW2sAaYWHqXAqV9qVaWGjv9QsX1LkUlgkW9ofy5ptVr7P05fjzgtzDJZFIJBKJRCKRSMrnOVyRqmrkCEokEolEIpFIJBLJU0KucEkkEklZRDml6tX7j0uhwJ1qrpcg7HHNmoAbo91UuHqJYklDaSJab0a3SoQGyuG6eVfQz8aNYfx4LDZHi%2BN1q3EDBK1rjcgN8NVXlct17onh4aqiI0bMUvYf0ocS32ojDP8t2Eaq72b//iq8Ha%2BOUi7XhfPu108cNbA0%2BqtRdAmPrazUZX4tTelhFF3y265dha5jW146qqyrZk3AlcjBp8T3gChrsLk50IJl4y6LQ2yLTnatWoA77w46IQ5fDmJ3sDp1gK6McjoCDQWudA9aKJfr/CHz8sT1KqRXAbTh5UNCYNcubZh5EUrnwNYWAgLghx/UPa9Efp%2BNGsGYMfDNN0IfacupU5V1mZoCNbEoui/2JxXlJCubeFpN/jKlBH4tWsDSpbBpk7owqFWZy7AiyBWuSiMNLolEIpFIJBKJRFI%2B0uCqNHIEJRKJRCKRSCQSieQpIVe4JBKJRCKRSCQSSfnIFa5KI0dQIpFIJBKJRCKRSJ4ScoVLIpFIJBKJRCKRlI9c4ao0cgQlVUZGRgYuLi5cUpMlUvK7cHFx4ciRI8%2B6GRKJRCKRSJ4XTE2r/t9zxvPXY4kqfH19adu2LS4uLri4uNChQwdCQkL45z//afQ79vb2pKSk0LJly0rXv2vXLu6oCStbDqtXr8bZ2ZmEhIQnynx9fTl%2B/Hhlm1cuu3fvxtnZWT9munELDg7m6FFBaGSVpKSk0LVr13LLRowYwYcfflgl9fxezpw5ww8//PDc1S2RSCQSieSPIyMjg7Fjx%2BLh4YGPjw8ffPABxeWE/F%2B9ejUvvviiwdzMxcWFW7duAZCfn8/8%2BfPp3r07Hh4eTJkyhaysrCpvrzS4JEaZO3cuKSkppKSkcPjwYfz8/Bg7dizp6elPtd6ioiLefffdSl3wNjY2LFu2jHxRLpYqpn79%2Bvox042br68v48ePJy0t7Q9ty7Pgyy%2B/fGZGz7OsWyKRSCSS/1n%2BhCtckydPpmHDhiQkJLBp0yYSEhLYsmVLubL9%2B/c3mJulpKRQv359AFasWMGZM2eIjY3l22%2B/paSkhIiIiEq373GkwSVRhaWlJaGhodjZ2ZGUlARoV1Q%2B%2BOAD%2Bvbty9ixY7l69SrOzs6kpqYyderUJy7YzZs34%2B/vD0BaWhphYWF4eHjg4eHBtGnTuHtXmwyyU6dO3Lt3j/79%2B7NmzRoAjh49ytChQ9FoNHTr1o21a9cqttfLy4sGDRqwYcMGozLFxcWsXbuWnj174urqyoABAwxWonx9ffniiy8YO3YsGo0GPz8/Dh8%2BXOFxGzNmDHZ2dnz//ff6z7du3Yq/vz/t2rUjICDAYDUuMTGRvn37otFo8PT0NHhr4%2BzsrB9/JXTn4siRIwQGBtK%2BfXuCgoK4evUqqampODs7k5GRoZd/9OgRHh4e7Nu3D4D9%2B/fTv39/2rdvT48ePYiNjdXL/vzzz7z%2B%2ButoNBo8PDyYM2cOeXl5LFq0iO3bt/Ppp5/Ss2dP/Rju2LGDESNG0K5dO4KCgrh%2B/TrTp09Ho9HQq1cvTp8%2BrdetdJ5Xr17NhAkT%2BOSTT%2BjatSvu7u4sXrwYoNy6JRKJRCKR/O%2BRkpLC2bNnmTFjBrVr16ZFixaMGjXKYK6ihkePHrFr1y7Cw8Np3LgxdevWZerUqSQmJvLbb79VaZtl0AxJhSgqKsLMzEz/9759%2B1i1ahUuLi4GE/jevXuzcOFCA/nvvvuOPn36ANrVM3t7e77//ntyc3MJCwsjKiqKWbNmERcXR48ePYiLi8PR0ZEbN24QHh7OggUL6Nu3L7/%2B%2BiujR4/GwcGBvn37lttOExMT5s%2Bfz7BhwwgMDKRZs2ZPyGzbto0vvviC9evX07JlS7Zu3Up4eDgJCQnUq1cPgI0bN/L%2B%2B%2B/Tpk0bFi5cyNKlS9m/f3%2BFx%2B3Ro0f6/8fHx7NmzRpiYmJo06YNBw8eZOrUqcTHx9OgQQPeeust1q5dS5cuXbhy5QqjR4/WG3wV5bPPPmP9%2BvWYm5vzl7/8hZiYGBYuXIiTkxMJCQmMHDkSgBMnTpCfn4%2BPjw8pKSnMmTOH1atX06VLF06ePMmYMWNwcnLCzc2NmTNnMnr0aAYNGsStW7cIDw8nNjaWefPmcf78edq1a8eMGTP0bdi%2BfTurVq2idu3aBAYGMmzYMBYtWsTSpUuZOHEia9asITo6WtV5Tk5OxtXVlUOHDvHTTz8xatQo%2BvXrZ7RuETdv3iQzM9PgswaAXen5Lxdra8OjEjVrKpdbWhoelSgqEsvUqmV4VKJxY%2BXy0rd/%2BqMStWsrl1tZGR6V0GiUy9u0MTwKaNJEubxBA8OjElXZTZSuMajYdSa6fszNDY8iqgmmBrpykRxU7T0gan%2BNGoZHJUT3SIVOpoo6deMgGg8ACwt1danpp%2BjCtrExPIpQuh7r1DE8isjLUy7X3SOiewXEKya6cjUrK05OyuW6%2BUQ584pyUWq/7gElelABXL6srr6nwVPYc1Xu72%2BDBtjZ2Qm/e%2BbMGezt7bEucz22bduWS5cukZubS63H7u9z584RFBTE%2BfPnady4MREREXh6epKWlsa9e/do27atXtbR0RELCwvOnDlDw4YNK9nL/yANLokq7t%2B/z86dO7lz5w5eXl76z11dXXF1dX1C3tvbm/z8fH766Sc6derE7du3SU5OJjIyEoANGzZgYmJCjRo1sLW1pVu3biQnJ5db9969e3FyciIwMBDQrvIEBQURFxdn1OACeOmllwgMDGTp0qWsW7fuifJdu3YREhKCs7MzAKGhocTExJCYmMigQYMA8PHx0fevV69efPXVVxQXF2Oq8uGTm5vLli1byM7O1htMu3btYvDgwbz88ssAvPrqq3To0IG9e/cSEhJCXl4eVlZWmJiY0KJFC%2BLj41XX9zjBwcH6B4anpycpKSmA1iAua3AlJCTg7e2NlZUVu3fvxtvbG09PTwA6duyIv78/cXFxuLm5cffuXaysrDA1NcXOzo7PP/9csX3e3t76fX2urq7cv39fvw/N09OTnTt3AurOs5mZGePGjcPU1JQuXbpga2tLampqudegGmJjY/WrqDomTZzI5LAw8Zd9fH5XneXy4otVpwugY0exjLe3Ol2DB1eqKQaoOU9GngNPsH27KrHJ6rQRFKRSUAXqLsd%2B6pSVed5WmirYX2uAmkm6GksWxJPciqBm8tqihTpdZSZiVUL79lWny95eLKP2nJd6n1QJ3bpVnS6AgQOrTpcaw379enW65s6tXFvKMmmSWCYkpOrqqyhPweAq9/d30iQmTxY/tbOzs6nzmGGvM76ysrIMDK5GjRrRrFkzpk%2Bfjp2dHbGxsYwfP549e/aQnZ0N8ISuOnXqVPk%2BLmlwSYyyePFili5dCoCFhQUvvvgimzdvpnGZN%2BP2Rh74FhYWeHl5kZCQQKdOnTh48CBOTk44OjoCcPr0aZYvX865c%2BcoLCykqKhIb4A8TlpaGikpKbi4uOg/KykpURWcY%2BrUqfTq1Yt//OMfBoYiaN3udO3R4eDgYLBS17RpU4M%2BFRUVUVhYiLmRN623bt0yaGdBQQGdOnVi8%2BbNesMnLS2NI0eOGPgal5SU0KpVK2rVqsXEiRMZPnw4rq6udO3alYEDBxqMeUUo235LS0v9njZ/f3%2BioqLIzs7G2tqahIQE5pb%2BeKSlpXH06NEnxltngE2bNo3Zs2ezceNGPD096d%2B//xPjWJZGjRrp/29ubm7wIDQ3N6egoEBfr%2Bg8N2nSxMC4s7S0JE/0llSBoUOH4uvra/BZg2PH4KuvjH/J2lprbB06BDk5yhU4OCiXW1pqja1ffoGHD5VlS11uFalVS2ts/fgj5OYqy549q1xev77W2Nq1C0o3FxtFNIm0stJaIadOwYMHyrLh4crlbdpoja2QEHEfgNVvKBtwDRpoja2dO%2BGxl61P4O6uXF6Rbna%2BuUdZwNpaa2z94x/i66x1a%2BVyc3PtxPvSJVCzr1W0olCtmtbYysqCMqv35XL9unK5paXW2LpwQXwPiFZOatTQGlvXrkHpc8UoopNtZaU1ts6cEZ9MENdXs6b2PvnXv%2BD%2BfWVZkcFYo4bW2MrIENcrCthkY6M1tr7%2BWns%2BRYhWuLp1g%2B%2B/V/e8unZNubxePa2xtXs33L6tLCsyRkxNtdfaw4dQTmAFA6ZNUy5v1kxrbC1eDGr2tItWuCZNgjVrxOPxP0a5v79qX9CgnR%2BoYciQIQwZMkT/96hRo9i3bx979uyhe/fuFdJVGaTBJTHK3LlzCQ4OVpQp6174OP7%2B/rz//vvMnj2b%2BPh4vTthTk4OY8eOJTg4mE8%2B%2BYRatWqxcuVKowEPdMZbdHR0hftgbW3NtGnTWLJkCV26dDEoKzDyQ2ViYqL/v7GVm6ioKP2qWZMmTfj2228BbdAMXdj2kpISgoODcXBwoF27dgb9mT59OqGhoeXqnjRpEkOGDCEhIYGEhARiYmLYsmXL71rFKduXsjg6OuLo6MihQ4dwdHQkNzdX/%2BCxsLAgODiYefPmlfvdIUOG4Ofnx8GDBzlw4ACBgYGsWLHCqMvj42NobEzVnOffu9JnDDs7uyfdF44dE/%2B4g3YSLJJT4woD2kmAaBImmnSXJTdXLC%2BaCOu4dUssq2BwG/DgAdy7pyxz8qQ6XWfPqpK91kudusxM8XxH1HQdarqp6hoDddeZyFDRkZ%2BvTlZkRJWVE8mKrmsdau4BtS6RBQViw1L0QkLHgwfqZNW%2B%2BLl/X2yM2Nqq01VQIK5XZFjqyMpSJ6vGtfnuXVATZfjGDbEMaK9/kazIiCorJ5K9cEGdrvR0dbJqHhzXrj1bl0ERT2GFq9zfX5XY2trqV6d0ZGdnY2Jigq2K%2B8fe3p6bN2/qZbOzs6lZxt03JydHv7WkqpBBMyRPDS8vL%2B7cuUNycjLHjh3TG1wXL17k/v37hIWF6Vc7/v3vfxvV4%2BDgwPnz5w3eQGRmZho1mB5n8ODB1K5dm40bNz6h9%2BLFi/q/Hz16xJUrV8rd7/U44eHh%2Bkg3OmPrcUxMTIiMjCQuLs4gGIeDgwPnzp0zkL127Zq%2Bf9nZ2TRs2JBhw4axadMmevfuTVxcnKq%2BVoRevXpx6NAh4uPj6dGjh37Vrrz23bhxg6LSH9qsrCxsbGwYNGgQUVFRjBs3jl27dlW6PZU9zxKJRCKRSP73efnll7l%2B/bpB%2BqCUlBRatWplYDiB9gX546l5UlNTadasGc2aNcPa2pozZ87oy86fP09BQYFRr6vfizS4JE8NCwsLvL29Wb58Oa1bt8ah1L1K5xZ28uRJHjx4wObNm7l16xa3bt3i0aNHWJRuGL58%2BTK5ubkEBASQnZ1NVFQUeXl5pKenExoaajT85%2BOYmpqyYMECNmzYoI%2BECNowodu3byc1NZWCggKio6MpKip6Yom7MrRu3Zo33niD%2BfPn87D0zfLQoUPZv38/iYmJPHr0iGPHjvHaa6/x888/c/LkSfz9/Tl16hQlJSXcvn2bS5cu6ceuLFu3buWtt9763W3z9/fn%2BPHjHDp0SG8Mg9ZATU5O5ssvv6SgoIBffvmFIUOG8O2333Ljxg18fX05fPgwxcXF3Lt3j/Pnz%2BvbZ25uztWrV8mpyGpMKZU9z5WpWyKRSCQSiRH%2BZGHhX3rpJVxcXFi%2BfDm5ubmkpqayadMmvVdW7969%2BfHHHwHtS%2By//vWvXLx4kfz8fD799FPS0tIYMGAAZmZmvP7660RHR3P9%2BnWysrL46KOP6Nmzpz5sfFUhDS7JU0V30QcEBOg/a9iwoX4fkI%2BPDzk5OXz44YcUFBQQEhJC/fr16dWrF2%2B%2B%2BSYrV67ExsaGqKgoDhw4gLu7O8OHD8fHx8eoS155uLq60qdPH%2B6VWdoPDQ2ld%2B/ejBkzhldeeYXjx4/z2WefPbF5srJMnDiR4uJiPv74YwC6du3KO%2B%2B8Q2RkJG5ubkRGRrJw4ULat2%2BPRqNhwoQJTJ06lXbt2jFgwADatWvHsGHDntCblZVlsN%2Bsojg6OmJnZ0dmZqZBMmVHR0eWL19OTEwMHTt2ZPLkyYSFhdGnTx8aNWrEkiVLWLJkCRqNht69e1OzZk2mTJkCwMCBA0lKSuLVV1/Vr4ippbLnuTJ1SyQSiUQiMcKfzOACWLVqFTdv3qRr16785S9/ITAwkJDSvXyXLl3iQeney%2BnTp9O9e3dGjRqFu7s7e/fuZfPmzfr95VOmTKFdu3b079%2BfHj16ULNmTZYsWVLp9j2OSckfsVNMIpFI/lt4zPX0CerVg8BAbWAN0d4aUTCDmjXBzU0bmU%2B0f0XNnghra230wcRE8R4uUTTAxo1h/HiIjhbv4SoNqGKU2rWhc2ft/jjRfoZXX1Uu12i0bXdzU7WHK2KW8k9ckyYweTKsXi3ewyVa/K5IN3te3aQsUK8e9OsHe/aIrzNR0BJLS22wkbNn1e3hKhPoplyqVdNGG8nMFO/hEu1LqVnzP5FGRPeAaG%2BGubk2%2BuDly%2BI9XKKTXauWNkrKiRNVs4erTh3o2hWOHBHv4RJFULSw%2BE8QFFG98fHK5Q0aaANObN%2Bubg%2BX0jmwtYWAANi3T93zSnRtNGoEY8bAJ5%2BI93BNnapcbmqqvdbu3xfv4erfX7ncyUkbyXDcOHV7uJTupxYtYOlSmD1b3R4uldFZq5xly6pe51NILvxnRgbNkEgkEolEIpFIJOXzFIJmPG/IEZRIJBKJRCKRSCSSp4Rc4ZJIJJKyiNyHdIkz1YSLFu0H1OmqVQsUUiwAYvdE0Lp6Abi4iF29RGkGatTQHvv2Fef6KZNbTbFdzs7CdqlyAUSbX0tNyPdl75afGkGPRgOTk5m8SYWLou37yuV2dtB5JJ3PbYGbNxVFT/u/rVhuYQGtgF9f6if0GhNF5TcxAQsgr0Ub1GwiKI1bpKwTKKkvzpljYmWlLKB7c96ypdjVS/SWXVfeoIFQ14m7zorlVlbQFjhj5Y6KLFy0dhM3rTZwz7WrsJvW/xbkztJFYbt3T%2ByGWbeucnnt2v85FhYqy4JyTj7d%2BGdni3P3gdh1VReWW0147t27lcttbbXPsoMHhe6OX048qFhety70AA68vp7HIpOXyyBvBZdg3XN/5kx1IfefFXKFq9JIg0sikUgkEolEIpGUjzS4Ko0cQYlEIpFIJBKJRCJ5SsgVLolEIpFIJBKJRFI%2BcoWr0sgRlEgkEolEIpFIJJKnhDS4JFWCs7MzSUlJz7oZT/DVV1/hK0qeU8XMnTuXmTNn/qF1/i8hx08ikUgkkj8Rf8LEx/9tSJdCiZCLFy%2Bydu1ajh49yv3796lXrx6%2Bvr5MmjSJuqIISM%2BYwMBAAgMDf9d3d%2B/eTUREBDV00dqABg0a0KtXLyZPnoyVkehbixcv/l31PU56ejpnzpyhd%2B/equRHjBhBu3btmDFjRpXU/3s5evQotWrVwsXF5Xd9v6rGTyKRSCQSSRXwHBpIVY0cQYkiv/zyC4MHD6ZRo0bs2bOH5ORk1q5dy7lz5wgODiZPFK/4v5z69euTkpJCSkoKp06dYsOGDRw%2BfJh33333qdcdHx/Pt99%2B%2B9TrqWo2b97M6dOnn3UzJBKJRCKRSP4USINLokhkZCSenp68/fbb1K9fHzMzM1588UXWrVtH%2B/btuVkm10xmZiYjR47E1dWVPn36cP78eX3Znj176NOnDxqNBl9fX7Zv364vW716NRMmTOCTTz6ha9euuLu7G6xy3LlzR6%2B3f//%2B/OMf/8DZ2ZmrV68CkJGRwfjx4/Hw8MDd3Z2ZM2eSW5ofaffu3XTt2hWAq1ev4uzszJEjRwgMDKR9%2B/YEBQXp9YgwMTGhVatWjBkzhu%2B%2B%2Bw6A48ePo9Fo2Lx5M25ubpw8eZJZs2bx1ltvkZqairOzMxkZGXodjx49wsPDg3379gFa48TPzw%2BNRoO/vz/x8fEAbNy4kQ8//JBvvvkGFxcXioqKyMvLIzIyEm9vb9q3b8%2BIESP49ddfy22rUl/VtGv//v3079%2Bf9u3b06NHD2JjY/Wys2bNYtGiRSxbtoxOnTrRuXNnPvnkEwDGjx9PYmIiixcvZuTIkQDcuHGDCRMm4OHhQYcOHXjrrbfILk1eojR%2BOpTa8vPPP/P666%2Bj0Wjw8PBgzpw5//MvASQSiUQi%2BUORLoWVRroUSoxy%2B/ZtkpOT%2Bdvf/vZEWa1atVi2bJnBZ7Gxsbz33ns0aNCA8PBwPvroI6Kjo0lPT%2Bedd95h48aNdOnShWPHjhEaGoqbmxtt2rQBIDk5GVdXVw4dOsRPP/3EqFGj6NevH66ursyZM4fCwkKSkpLIyspi%2BvTp%2BjpLSkoIDw/Hzc2NFStW8ODBA6ZNm8Z7773HokWLyu3XZ599xvr16zE3N%2Bcvf/kLMTExLFy4UPW4FBcXY1YmSW1hYSFXrlzhhx9%2BwNzcXG8QODo64uTkREJCgt74OHHiBPn5%2Bfj4%2BHDixAmWL1/Ol19%2BiZOTE3//%2B9%2BZMWMGiYmJhIWFceHCBfLz81mxYgUAy5Yt49///jexsbFYW1uzatUqJk2axNdff42JSfnJXY31ValdKSkpzJkzh9WrV9OlSxdOnjzJmDFjcHJyws1Nm91z7969zJo1iyNHjrBnzx7mzZtH//79iY6OxtfXlzFjxhAcHAxAeHg4rVq14sCBA%2BTl5fHmm2%2ByYMECPv74Y8XxA4RtmTlzJqNHj2bQoEHcunWL8PBwYmNj9f0ScfPmTTIzMw0%2Ba2Bqip1Sok0bG8OjErrExsYwNzc8KlFNxeNad12KkijDfxIbG6N6dcOjEqK2VaBdTZoolzdoYHgUotEol5c%2Bg/RHJezslMttbQ2PCoiSC1fk0jBy%2Bz9RLpJ7KqhNVqxmAlaFukT5mHXnR00SaDVVVqSb%2BsTGxtA9V0TPFxBfi9bWhkcRSvd6RZ6NIG6/bsuCmq0LoudUBfpZV3BtlM0VrQql515FntnPMjHyc2ggVTXS4JIYJT09HYCWLVuqku/fv79e1tfXlx07dgDQtGlTjh07hnXpg65Lly7Uq1ePM2fO6A0uMzMzxo0bh6mpKV26dMHW1pbU1FRefvllvv/%2Be1auXEndunWpW7cuQ4cOZf78%2BYB2Qn7hwgV27NiBpaUllpaWTJ48mbCwMCIjI8ttZ3BwMA0bNgTA09OTlJQUVf0rKSkhNTWVjRs34u/vr/%2B8sLCQkJAQLMr5Ze7du7eBYZOQkIC3tzdWVlZ06NCBI0eOUKdOHQBee%2B01IiIiOH/%2BPJ07dzbQU1xczO7du1m5cqW%2B7VOnTmXr1q2cOnWKdu3aVaivSu3avXs33t7eeHp6AtCxY0f8/f2Ji4vTG1xNmzZlwIABAPTp04fZs2dz%2BfJl7B6bkP7yyy%2BcOXOG9evXU6tWLWrVqsXYsWOZOHEiBQUFwvETteXu3btYWVlhamqKnZ0dn3/%2BOaYV%2BGGIjY1lzZo1Bp9NmjiRySEh4i%2BXuQYqTfPmVacL1E1Q1CIyMipC6bWuxOTJ6lQFBamsc3KyOrkyq%2B6Vpm9foUgrlaqaNatcU8qixnirCKoMOLWzUpGRURFUGCJt26pT5ehYybY8hqpuurqqU%2BbkVHW6undXJ6eGPn2qThdAVQa%2BUtHPHipVdeqktlIVz2M198nt22orlPwJkQaXxCi6VZPi4mJV8k2bNtX/39zcnMLCQr2eHTt2sGvXLm7evElJSQkFBQX6CTdAkyZNDCbKlpaW5OXlkZ2dTWFhIfb29vqyssEY0tPTKSoqwsPDw6AtRUVFZGVlCdtpaWlJfn6%2B0T7dunXLoL7GjRvj7%2B9PeHi4gVwTI6/l/f39iYqKIjs7G2traxISEpg7d66%2BjWvXruWbb77hzp07%2Bu%2BUHRcdt2/f5v79%2B4SHhxusZhUXF3P9%2BnWjBpexviq1Ky0tjaNHjxr0u6SkRG/0lKcXKNeV7%2BrVq1hbW9OgzHKEg4MDhYWF/Pbbb/rPjI2fqC3Tpk1j9uzZbNy4EU9PT/r3749jBWZIQ4cOfSKKZYODB5Un3zY2WmPr66/ByDWmp2NH5XJzc62xdeUKKFyHACituukwM9MaW9nZ4rehItfL6tW1xtbNm1B6LxtFtFxgZqY1tu7eFbZr9Vblt%2BMNGmiNrZ074bHFyXKZvMlNWaBNG%2B35DgmBs2eVZd98U7nc1lZrbP3f/0GZe7o8fu2qvAprbq41ttLTxZdGmduxXExMtPry86GkRFlWV7cIExN1ukxy7ykLmJpqrZD790H0W6NmGcnSEh4%2BFOo6c1nZ8rGw0BpbqaniWwXAwUHcNLXdrH3plLKApaXW2LpwQdtXJa5cUS63ttYaIUlJkJOjLAvae9gYNjZaY2v/fvGzEdStcPn6wsGD2meaEmpWuFT284CV8guT2rW1xtY//wn3BJc3QI8OCm03M9MqvHfv2a5giZArXJVGGlwSoziU/oJcuHBBv0qihDG3ti%2B%2B%2BIINGzYQFRWFu7s7ZmZmeHl5GcgYW5UoKf1Fr1bGjaGsrLm5OVZWVpw8eVLYPlE7y6N%2B/focOXJEKFfNiJuFo6Mjjo6OHDp0CEdHR3Jzc%2Ble%2BoZt7dq1fP3110RHR9OmTRtKSkp46aWXytWjW/3ZuXMnL7/8sur2G%2BurUrssLCwIDg5m3rx5RvWqXUUqz3gsr23Gxk/UliFDhuDn58fBgwc5cOAAgYGBrFixAj8/P1Xts7Oze2JVjoR7%2BW0xAAAgAElEQVQEdTP5rCyxnGgypCM/Xyz76JE6XaD94RbJK5wbAwoLxbIi98QKtOvaNXWqMjNVyqp9Npw9K5Yts2dVkTt3hLJqtxrm54tl1Rg%2BOjm1slWGyhd2FBerl60CXQ8eqFOVl6dOtkq7ef%2B%2BOmUPH4plBYa/npwcdbJqZLKy1N0rtWqJZUBrbIlWd9Q%2Bg1T0M1vlo/HePbEdCKgzpIqK/twGl6TSSJNVYhQbGxs6derEpk2bnih7%2BPAhAwcO5KeffhLqSUlJoWPHjnTu3BkzMzMyMzMNgm0oUbduXczMzLhWZmZV1gXQwcGBBw8e6N0fAXJzc42ubj0LevXqxaFDh4iPj6dHjx6Yl74%2BTklJoUePHrz00kuYmppy5swZozpq165N3bp1OXfunMHnagN%2BVKRdDg4OT9Rz48YNin7Hj0GzZs3Iycnh1q1b%2Bs8uXryIubm5KiNe1JasrCxsbGwYNGgQUVFRjBs3jl27dlW4nRKJRCKRSIwgg2ZUmuevx5IKMWfOHP71r38xbdo0bty4QXFxMb/88gujR4/GwsICVxX%2B4fb29ly8eJGcnBwyMjJYvHgxTZo0MXApM4aZmRkdO3Zk06ZN3Lt3j0uXLvHFF1/oy1u3bo1Go2HJkiXcuXOHu3fvsmDBgj9V4lx/f3%2BOHz/OoUOH6FPGt93e3p6zZ8/y8OFDfv31V2JiYqhdu7Z%2BXMzNzbl%2B/Tp3797l0aNHBAUFsW7dOlJTUyksLGTz5s0MHjyYh2pXUVS2a/DgwSQnJ/Pll19SUFDAL7/8wpAhQ1SHqDc3NyctLY179%2B7h4uKCo6Mjy5cv58GDB/z222%2BsW7eOgIAAqqsIxqDUlhs3buDr68vhw4cpLi7m3r17nD9/Xr8yK5FIJBKJpAqQBlelef56LKkQbdq04fPPP6e4uJgBAwag0WiYOnUqnTt35tNPP1U1aQ4ODqZ58%2BZ4eXkxduxYhg8fzvDhw9m0aRPbtm0Tfn/JkiXcvXuXrl27EhERwbhx44D/uLUtX76ckpISevToQc%2BePSkqKvpD8mSpxdHRETs7OzIzM/Uh6gHGjRtHUVERnTt3ZtasWUyePJkBAwawePFiDhw4QN%2B%2Bfbl06RI%2BPj7cvHmT8PBwunXrRkhICB4eHnz33Xd88skn%2Bj1UVdUunYEUExNDx44d9UFI%2BqjcCP3666%2Bzfft2hg8fjomJCVFRUdy8eRNvb29ef/112rVrpw96oqaNxtrSqFEjlixZwpIlS9BoNPTu3ZuaNWsyZcqU3zUeEolEIpFIJE8Dk5KSP9yjWyKpMAUFBdQo9dE%2BduwYb7zxBj///LP%2BM4mkyigNV2%2BUBg20ARa2bxfv4fL2Vi63tITWreH8efEerkaNlMtBG7K5Xj3tfgfRHi7RxpQaNcDeHjIyxHu4RHsxqlXTbqjPyhK2K%2BIj5XjvTZpoIxmuXq1uD9eydwV7NjUaSE4GNzfxHq7331cut7ODkSNhyxbhHpbT/m8rlltYQKtW8Ouv4j1cojgxJiZafXl56vZwqQmFrjpoxl1BIAZT0/8EDaiKoBkqI1OcOKscFc7KShvJ8MwZdXu4WrcWN01tN63/fVRZoGZNbfTBU6fEe7jK5MMslwoEegGUZezsYNgw2LatavZw1asHAwfC7t2V38NVgX5%2BWUs5oE3dutCjBxw4oG4P1yBvhbZXJNARqAue9DQoZ2tJpXnjjarX%2BSdGrnBJ/vTMnj2bMWPGcPfuXe7du8emTZt45ZVXpLElkUgkEolEIvnTIw0uyZ%2Bet99%2BG2tra/z8/PDz88PMzIwlS5Y862ZJJBKJRCKR/O8j93BVGhkWXvKnx8bGhlWrVj3rZkieF9S4LemOIlnRXrUXXoAVK2DdOrh4UVlWRdJgmjeHxYu1OkX5d0Sh821ttS6FyclCF5zgb5RdcFq0gGXLIOJ9Gy5fVq42NFS5XJcf1N1dXQ4cbFW4AYI2x5bIDUoUjEej0boUfvyx0D3xk6vKLoVNm8Lbb8Pf/w6iYKQLFyqXm5lp3QQLCtR5LYkCfdraQkCANt2SyAttxJ7RygItW2pdNRctgkuXlGVFbrIvvADLl2vvO8H95C7KWtuwIbQNpe3xT0FFgCf2Cvw%2BGzeG8eOpvS0arl9XlhW5IuvSaKjJGfBYlNcn0OVAvHJFnY%2BuUk4%2BXaoPtTkbjKRB0aPrZ7Vq//m/Mf7xD%2BVyBwetS%2BFPP0FamqLoAQvl51mzZlqXwn/%2BU5snT8Qgq38aL6xTB7p21fquKuU40%2BHvL5Z5GjyHBlJVI0dQIpFIJBKJRCKRSJ4ScoVLIpFIJBKJRCKRlI9c4ao0cgQlEolEIpFIJBKJ5CkhV7gkEolEIpFIJBJJ%2BcgVrkojR1Aikfxp6NWrF1988cWzboZEIpFIJBIdMkphpZErXJI/hMuXLxMdHc2RI0fIycmhTp06aDQaJkyYwEuiSEX/48THx%2BPs7Ezz5s31n506dYp169bx008/UVBQQMOGDfH392fChAmYm5s/w9ZWLenp6Zw5c4bevXsD8O233z7jFkkkEolEIpFULc%2BfiSn5w/nll18YNGgQ9evXZ/fu3fz888/s3LmT%2BvXrExQUxKlTp551E58pq1at4kqZEN5JSUmMGDGCjh07kpCQwIkTJ1i6dCkHDhxg9OjRlJSUPMPWVi3x8fHSyJJIJBKJ5M%2BMXOGqNM9fjyV/OJGRkXh5eTFjxgwaNGiAiYkJTZs2ZcGCBUybNo1qpfk1Lly4wF/%2B8hc6duyIh4cHCxYsID8/n9TUVJydncnIyNDrfPToER4eHuzbtw%2BA/fv3079/f9q3b0%2BPHj2IjY3Vy86aNYs5c%2BYwYsQIXnvtNQB8fX354osvGDt2LBqNBj8/Pw4fPgzA1atXcXZ2JjExEX9/f9q1a0dERARpaWkEBQXRvn17RowYQU5Ojr6OrVu36mUDAgJISEjQl40YMYLo6Gjefvtt3Nzc6NatG3FxcQD069ePCxcuEB4eTkREBEVFRSxcuJCQkBDCwsKoU6cO1atXp0OHDkRHR%2BPg4EBWVpbieAHs3r2bfv368dVXX%2BHr64tGo%2BGtt96isDSHys8//8zrr7%2BORqPBw8ODOXPmkFeaz8XX15cdO3bo25%2BUlISzs7P%2Bb2dnZ/bt28fAgQNxdXVl7Nix3Lhxg7CwMDQaDQMHDuRqaeKg1atXM2rUKKKiovDw8KBDhw58/PHHAGzcuJEPP/yQb775BhcXF4qKigzqLi4uZu3atfTs2RNXV1cGDBjA0aNH9e1QOocSiUQikUgkfxakS6HkqXL79m2Sk5PZvn17ueWjRo0CoKCggNDQUAIDA9mwYQM3b95k/PjxfPzxx8ycORMnJycSEhIYOVKbkPDEiRPk5%2Bfj4%2BNDSkoKc%2BbMYfXq1XTp0oWTJ08yZswYnJyccHNzA%2BDAgQMsW7YM7zIJJTdu3Mj7779PmzZtWLhwIUuXLmX//v368q%2B%2B%2BorPP/%2Bcs2fPMnz4cK5cucIHH3yAhYUFAwYM4MsvvyQ0NJT4%2BHjWrFlDTEwMbdq04eDBg0ydOpX4%2BHialCaV3LZtG0uXLmXp0qVER0cTGRlJnz592LNnD87OzkRFRdG9e3dOnTpFRkYGw4cPf2Ks7O3tWbJkiarxAsjIyOD06dPs3buXjIwMBg4cyHfffUefPn2YOXMmo0ePZtCgQdy6dYvw8HBiY2P14yti586dREdH8%2BDBA/r27cuYMWN47733cHBwYNiwYWzatIl58%2BYBWuNOo9Hw/fffk5KSQlhYGG3btiUsLIwLFy6Qn5/PihUrnqhj27ZtfPHFF6xfv56WLVuydetWwsPDSUhIoF69eqrOoYibN2%2BSmZlp8FkDU1PsSvWXi42N4VGJF15QLm/a1PCoRM2aYpnGjQ2PStjaKpdbWxseFWjRQrlcl1tVd1RCl9jYGFZWhkchusTGxtCNg2g8QJvYWIk2bQyPCohOua7ZouaDNrGxEmVzdatBNBS6HNxqcnHTsqVyub294VEJUdbmiuhq2FC5XPcMUHoWlKWgQLm8fn3DoxK1aimXV%2BQmEN10DRoYHkUoJZ%2BuqC7R2FbgGYSDg3J5BZ6NzQRe%2B7pLR3QJ6VG6UXTPdTXPdzWJkZ8Wz%2BGKVFUjDS7JUyW9NA17C8GMLCkpiYcPHzJ58mRq1Kihn7jHxMQwc%2BZMevfubWBwJSQk4O3tjZWVFbt378bb2xtPT08AOnbsiL%2B/P3FxcXqDy97eHh8fH4M6fXx8cHV1BbTBGr766iuKi4v15YMGDaJ27dq4u7tTu3ZtunbtSrNmzQBwdXXl8uXLAOzatYvBgwfz8ssvA/Dqq6/SoUMH9u7dy9ixYwHQaDR069YNAH9/f9asWcPNmzexf2xikJ6ejoWFhd5Q%2B73jBXD//n2mTp2KlZUVTk5OODs7c/HiRQDu3r2LlZUVpqam2NnZ8fnnn2NagQdqQEAAdqUzwRdeeIG2bdvq9%2BJ16tRJXw%2BAqakpEydOpFq1anTo0AFPT08SExPx8/NTrGPXrl2EhIToV9dCQ0OJiYkhMTGRQYMGAcbPodq%2BxMbGsmbNGoPPJk2cyOSgIPGXe/USy6jRAzB9ujo5tUycWHW6uncXiizrq07V5MmVbEsZSk%2B7mM7qXiLQV0UnVL6QwMgLprK8rU6T6irVIJrH6wgIUCdX%2BkgTKHtfnbI331Qnp4Zp06pOV//%2BVacLYPDgqtPVtq1Yxt1dna6hQyvXlrIMG1Z1ugC8vMQy/fqp0zVunFAkQp0mQkNVCtJVLNK%2BvVjm66/VVlj1SIOr0kiDS/JUMTExAbQugDpOnDhBaOmTqqSkhMaNGzNs2DCaNWtGjRo19HLNmzfn2rVrFBcX4%2B/vT1RUFNnZ2VhbW5OQkMDcuXMBSEtL4%2BjRo7i4uOi/W1JSojfAgCcMG4CmZV4xW1hYUFRUpHe5A2hc5k2Yubk5Dcu8zjI3N6eg9I1mWloaR44cYcuWLQb1t2rVymhdgN6F7/HxKi4upqSkRD925XH16lXF8QKwsbGhVpkZlqWlpb7OadOmMXv2bDZu3Iinpyf9%2B/fH0dHRaH2Po3ZsABwcHPRuowBNmjTRG6tKXL169Yk2OTg4GLiWGjuHagOLDB06FF9fX4PPGiQmws6dxr9kY6M1tr79FkrdO41y/LhyedOmWmNr%2BXIodcM0itoVrokTYe1auH5dWdbDQ7nc2lprbCUlQRn32fKI%2BEHZWGnSRGtsrV4N/8/emcfXcLUP/JtFEhESQmpJgobEFhKNBAkh4WdJS2op8VKE1lJaO0212oilC0Xt%2B9IqSkqVtq8IjdqKFCmNvSURQhYE2ef3x3XnzU3unZlU0OV8P5/7ucmcZ86cOTNn7jznec7zXL%2BufFi191tbW52ydfo0PHigLAvQ8tw6ZYEqVXTK1s6dkJ6uLPvIHdYkDRrolK1%2B/SAxUVH047B4xXInJ52ytW4dpKYqH1btHdLcXKdsZWVBkTklkxw4oFxeqZJO2TpwQH3SPeTHScoCtWrplK3586HI2DaKFgvXuHEwd656XWrKiqOj7mbcsQPS0pRlQZuFq1cv2LoVbt9Wln3hBeVyW1td%2B8%2BcUR8Eas%2BgatV0ytbmzVDM2m8UNQvXf/4DX3yhrS41DwB7e52y9eOPqs8g4pXHEzVq6AbKsmWqz8ZZ1u8rlj/3nE7ZWr0abt5UPizA220Pmi6sUEGnbJ08Cffvq1cm%2BNsiFC7BE6VOnTqYmZlx%2BfJl%2BaW8RYsWJCQkALq1RgsXLjR4QS%2BKXulwc3PDzc2Nffv24ebmRlZWFm0fzbzb2NgQFhYmu7AZw8KIz42aFaS4wmNK3sbGhvHjx8tKpDG0Wlxq165Nbm4uf/zxB3UVXHHU%2BkvtmL1796ZDhw7Exsayd%2B9eQkND%2BfTTT41anQqNvKFp7RuAgmIvSWrKpJ7HPUctODk5yZY6mdhYbS8LGRnqckUsfYokJanLavLfekRKChQJxGKU%2BvW11XXnjqoiokF/BnTKlprsvXva6nrwQKOsmraiJz1dXfaXX7TVlZioKpukxTqErklquriaHqKnsFCbrJreqefuXQ2yV65oqyw5WV1W6WW/eF1q40mLax/olC0tb9VGJtCMcvu2%2BmRIVpa2uh48UJdVm%2BHQc%2BuWNtkik5KKdakpvKDNVRB0zyA1pffqVW11paSoyl6z0VbVzZvwyIlHGS2ugPfvP1uXQTWEheuxET0oeKLY29vj7%2B/P6tWrjZbrX%2BZdXFy4du2awUv25cuXcXZ2ll%2BqO3XqxL59%2B/jvf/9LcHCwbMVwdXXl3LlzBvXeuHGjxIv%2Bk8LY8a9fv/6nogk2bNgQFxcXo/1169Ytunbtyh9//KGpv5TIyMigcuXK9OzZk8WLFzNs2DC2bt0KgJWVlYH17arWHzITpKSkGFg4r1%2B/bmARM4Wrq6uBa2J%2Bfr587gKBQCAQCAR/F4TCJXjivPPOO5w%2BfZqxY8fK0esyMzP56quvmDt3Lk2bNqVt27ZYWlqyaNEicnNzuXz5MuvXryc0NFSup0uXLhw9epR9%2B/bRtWtXeXuvXr2Ij49n27Zt5Obm8ttvv9G7d%2B%2BnFm68T58%2B7N69m/3795Ofn8%2BRI0d48cUXOXXqlKb9ra2t%2BeOPP8jKysLc3JwPPviAr7/%2BmpkzZ5Kenk5%2Bfj7Hjx9n8ODBcr4uLf1lihs3bhAUFMRPP/1EYWEh9%2B7d4/z587g%2BWnRcp04d9u/fT3Z2Nn/88Qc7d%2B58rP7Jz89n5cqV5Obmcvz4cQ4ePCi78VlbW5OSksLdu3cNlDKA7t27s3HjRi5dukRubi5Lly6VIxkKBAKBQCB4Soiw8I%2BNcCkUPHGef/55tm3bxqJFi%2BjXrx%2BZmZnY2trSuHFjIiIi6Nq1K%2Bbm5ixfvpzZs2fTqlUrHBwcCA0NZfjw4XI9bm5uODk5cfPmTfz9/Q22z5kzhwULFvDBBx/g5OTEkCFDDJSyJ4m/vz%2BTJ08mMjKS27dv4%2BzszPvvv4%2BXlkWwQN%2B%2Bffnoo484dOgQS5Yswd/fny%2B%2B%2BIJFixbRqVMn8vPzcXZ2pnfv3gwYMACAChUqqPaXKapXr86MGTOYMWMG169fx87OjrZt2/Lmm28CMGbMGCZOnIifnx8NGzZkyJAhvPUYC9rr169Pfn4%2Bbdq0IT8/nyFDhsjRIl966SW%2B//572rdvX0KxCw8PJyMjg9dee427d%2B/SsGFD1q9fT6XSuNYJBAKBQCB4PP6FClJZIxQuwVPB2dmZWbNmKco0bdrUZPh4PaasLV26dKFLly5Gy2bPnl1iW2xsrMH/fn5%2Bslugs7NzCRfBgwcNF70WD2Pev39/o6HcATZs2GDwf/H6IyIiiIiIMJBp1qwZy5cvN1qfHqX%2B6tGjBz169DDZjq5du5pUSBs0aFCin4u2t3jfbNmyxeD/CRMmlKhz1KhRjBo1qsR2Hx8fjhZZ1F30ulhaWjJ58mQmT55stJ1K11AgEAgEAoHgr4JQuAQCgUAgEAgEAoFxhIXrsRE9KBAIBAKBQCAQCARPCGHhEggET4zRo0czuiyz3T4NGjRQLq9YUfddp44uV48CK2yUz93REXoA0W0%2BJa2R8mEtNTytHR2hG/CNbxRpKmnVBvdSyfmin9Hs0EE1edOXq1USk1aoD6xk1q2hcP2CsmzSIOVyR0egGy1Tv9GUH%2BnXLsophm1soB5w0X%2BgamTvFUnKdTk76xIafxwWrxr2ff4CldQI3t4wMZ6JXzZXD0cftF253N4e2rWjUvx%2B9XxGwAAblZxSVg5AR0Ks9oBNpqJob75SLK8LfARM4iPUAsgXqHTZ82bwCTDBbA6XVWRtEpTL69yDmUDExXBNaQ/U0hjWKISRwOLC4aSo5EKLbKd%2BPDNA8lFPamzm7q4sUK6c7vuVV7SFfFfKA/AoxyQhIdrC5D8K1GQS/TOofXv1BHJqYf71IeiDglTHwOKRKpFwmzSBt7/j7bgu8OuvyrIArWaaLtOfV2am9nwMzwJh4XpshMIlEAgEAoFAIBAIjCMUrsdG9KBAIBAIBAKBQCD425CcnMzrr7%2BOn58f7du35%2BOPP5Zzuxbnyy%2B/pFOnTnh7e9O9e3diYmLksilTptCoUSM8PT3lj4%2BPT5m3V1i4BAKBQCAQCAQCgXH%2Bghau0aNH07hxY2JiYkhLS2PYsGFUrVqVwYMHG8j98MMPzJkzh2XLltG0aVO2b9/OmDFj%2BO6773Bx0bmPjhgx4okvf/jr9aBAIBAIBAKBQCAQGCEhIYHExEQmTJhAxYoVqVOnDoMGDWLz5s0lZLOzsxk3bhwvvPAC5cqVo3fv3lSoUIGTJ08%2B1TYLhUsgeIokJSXh4eHBpUuXjJZHR0fLSZ2PHTuGp6cnubkqC9gFAoFAIBAInhTm5mX%2BSU1N5cyZMwaf1NRUTc05c%2BYMtWrVwl4fDAVo3LgxV65cISsry0C2e/fu9OvXT/7/7t273L9/n%2Beee07eduTIEUJDQ/H29qZXr178qiUYSikRLoUCQSkJCgri5s2bmD8ysVtZWeHh4cGYMWPw9fUts%2BO0aNGChASVUFqPGDBgAM2aNTOadPhpcebMGe7cuUPr1q3/VccWCAQCgeAfzRNwKdy8eTMLFy402DZq1ChNrn2ZmZlUqlTJYJte%2BcrIyMDOzs7ofpIkMXXqVJo1aya/r7m4uGBubs5bb71FhQoVWLhwIeHh4fzwww9Urlz5z5yaUYTCJRD8CaZOnUpYWBgADx8%2B5Msvv%2BT1119n586dsk/wv41t27Zha2v7TJSeZ3lsgUAgEAgEpaNPnz4EBQUZbKtWrZrm/SVJKtXx8vLymDJlChcvXmT9%2BvXy9jfeeMNAbuLEiXz77bfExMTQu3fvUh1DCeFSKBA8JuXLlyc8PBwnJyfi4uIICgriyy%2B/lMvj4uLw8PAw2CchIYEXX3wRb29vBg4cyM2bN0vUe/ToUTw8PMjJyQHg2rVrhIeH4%2B3tTfv27Q0eGEXRuy0ePHiQ0NBQvLy86Nu3L0lJSVy6dAkPDw%2BSk5Nl%2Bfz8fPz8/Ni1axcAu3fvpnv37nh5eREcHGzgE33q1CleeeUVvL298fPz45133iE7O5vp06ezceNGVq9eTceOHQHkftBb3/r27UtKSgrjx4/H29ubTp06GZjtDx8%2BTJ8%2BffD29qZNmzYsWrRILvvss88YMWIEK1aswN/fnxYtWhAVFQVg9NgCgUAgEAjKiCfgUujk5ETjxo0NPk5OTpqaU6VKFTIzDXMAZmZmYmZmRpUqVUrIZ2dnM2zYMK5fv84XX3xBVYW8bRYWFtSoUUOze6NWhMIlEJQRBQUFWFhYaJLdsmULy5cvZ//%2B/RQUFPDuu%2B%2Bq7jNq1Cjc3Nw4dOgQixcvZt68eRw8eNCk/Pr161m2bBn79%2B/nwYMHrFy5Ejc3N%2BrXr28QEvXYsWPk5OTQvn17EhISeOedd5g4cSInTpzgww8/ZPbs2cTHxwMwadIkevfuzYkTJ9i5cyfnzp1j8%2BbNvPvuu7Ro0YLw8HD27Nkj171x40YiIyPZu3cvSUlJ/Oc//6FHjx4cOXIEFxcX2Z3gxo0bjBw5krCwMI4fP87KlSvZtGkTO3fulOuKj48nPz%2Bfffv2sWDBAjZs2MDp06dNHlsgEAgEAsE/jyZNmpCSkkJ6kWTRCQkJ1KtXjwoVKhjISpLE2LFjsbS0ZO3atQZugpIkMWvWLBITE%2BVtubm5XL16tcy9lYRLoUDwmNy/f59NmzaRnp5OYGAgy5cvV93nP//5DzVr1gRg0KBBjBkzhvz8fJPyZ8%2Be5dy5c6xbt47y5cvTsGFDFi5caLDoszhhYWFyeUBAgLwerHPnzsTExDBw4EAAYmJiaNeuHba2tkRHR9OuXTsCAgIA8PHxoUuXLuzYsYPmzZtz9%2B5dbG1tMX80O7VlyxZ5LZsx2rVrR926dQFo2rQp9%2B/fl4OCBAQEsGnTJgC%2B/fZb6tevT2hoKAAeHh707duXHTt28NJLLwG6Wadhw4Zhbm5Oq1atqFKlCpcuXaJp06YqvW2a1NRUbt26ZbCtWk4OTgqzX9jaGn4r4OioXO7gYPithKWGp7V%2B/XCRdcSmUfPJNzP737eabP36yuWurobfSqh1WqlOEmxslMutrQ2/lXB2Vi7XT85qmqT19lYub9DA8FsJtb7Qr2cwsa6hBHl5yuUVKxp%2BK/Bo%2BJukVi3DbyVMpNj5U3VZWSmXP3o8y99q1KihXK5/pCg9Wp4I5copl%2BsfLFoeMKA8oEozmED9uaIv17J%2BqCzHQJMmyuVubobfahixuMjo1yEVW49klCLKxVPnLxYWXp83a86cObz99tvcvHmTNWvWEB4eDujec6KiovDx8WHnzp1cvHiRb775Buti96aZmRlJSUl88MEHzJs3Dzs7O%2BbPn0%2B5cuXo0KFDmbZZKFwCwZ8gKiqKmTNnAmBjY0PDhg1Zu3YtNdR%2BdR/hVuRB7erqSl5eHmlpaSblr169ip2dHQ5F3szV1is5F3k7LF%2B%2BvOya2KVLFxYvXkxmZib29vbExMQwdepU%2BTiHDx/G09NT3leSJFkBGzduHBEREaxatYqAgAC6d%2B9ucC7FqV69uvy3tbW1wUJWa2trOQLj1atXSUhIKHHcukXe1mrWrGmg3JUvX57s7GzFPlDD6KLdN95g9Isvqu%2BsQdHrobEdxdzYH5vAQC1S5bVVpqaxAKxcqa2u997TJqcFbSdJPY3VaZnMnDhRW12P5jJUKovXVtnGjdrktFDWyTxbtlQV%2BUijl%2B9bbz1mW4owdmzZ1TVqVNnVBfDKK2VXl35ORBGNLlqKSkFp69MysVIailksjNK2rba6mjcvu7qK/XY8Fm3aqMts2FB2xystfzGFC2DBggW8%2B%2B67%2BPv7Y2dnR9%2B%2BfeVohFeuXOHBgweAbo13cnJyiaBm3bt3JyoqihkzZvDhhx/So0cPsrKyaNq0KevWrcNWw6RqaRAKl0DwJygaNEMNY5nPiyoO%2BoWfxWdeisubyhZOd90AACAASURBVKBuCjMTv8Zubm64ubmxb98%2B3NzcyMrKou2jHxgbGxvCwsJMujj27t2bDh06EBsby969ewkNDeXTTz81ORNU3PplyhpmY2NDYGAgS5cuNXk%2BSpa0P4vRRbtXrsCRI6Z3srXVKVunT8OjB7opoq8rv5A6OOiUrdhYKOaOXgKtFq7AQPjxR7hzR1m2W8eHygJmZjplKzsb1BYnq0WVcnXVKVuRkXD1qkrDuimXl%2BYkgYuNlOuzttYpW9euwaM5CZN8/bVyuZOTTtlatw7U3P8nfqny4teggU7Z6tcPiri7GGXuXOVyOzudsnX8OBQLmWwULRauli114%2BTePUXRSXuUNa5atXTK1vz5UGRpqVG0WLjGjoVPP1WvS4uFa9Qo3Tv19evKsqBu/axaVadsbdkCt28ry44YoX48MzP1YQlgdkvlRrS01Clb6emg4GUhozTmrK11Y/3qVfXBBFBkQs4o5uY6Zev%2BffWL/8svyuV2djplKz5efQzMmqVc7uamuzFGjQITKV4MUNLaK1XSKVsHDsDdu%2Bp1CWSqV6/OihUrjJadO3dO/nvdunWK9Tg4ODBL7ZqXAULhEgjKGCsrKwPLy1UjL5hXrlzB3d0d0AXDsLGxMbBeFcfFxYX79%2B%2BTmpoqLyqNiYmhUqVKfyoUfadOndi3bx%2BXLl0iODhYVvZcXV1LhKK/ceMG1apVw8LCgoyMDCpXrkzPnj3p2bMnCxcuZOvWrY9tend1dSUmJgZJkmRF8datW9jb22Ol9mb0GDg5OZVcpHv9uupLJKBTtlTkFIyWBmRmqstq9fgB3TuR6rHVXmD0Cq4kqcteuKCtYVevqstq7TRNJ6nTF7WQk6Mum5Skra7UVA2yai%2BIehIT1WU1KJ6A7kVTi6zW3H/37qnOFFy5oq2q5GR12YIC7XVdvqwso8VwC7rHwe%2B/q8tpXL7L7duQkqJNtkxQU5715Odrk9UyoLQMJlB/rhSVU5MtyzGgNQfTpUvaZLW4At69%2B2xdBtX4C1q4/m6IHhQIypg6deqwf/9%2BsrOz%2BeOPPwwCP%2Bj54osvuHXrFvfu3WPdunWqCkvDhg1p1KgR8%2BbN4/79%2B5w/f16OEPhn6NKlC0ePHmXfvn107dpV3t6rVy/i4%2BPZtm0bubm5/Pbbb/Tu3ZsffviBGzduEBQUxE8//URhYSH37t3j/PnzuD5yH7G2tiYpKYk7Wn/4ihASEkJmZiaLFy8mOztbjsioNjOl53GOLRAIBAKBQIEnEKXw38a/74wFgifMmDFjSE9Px8/Pj8mTJzNkyJASMn379mXgwIG0bdsWKysrIiIiVOtdunQpycnJtG7dmuHDhzNy5EjZFbC0uLm54eTkxK1bt%2BQgFvrtc%2BbMYeXKlfj4%2BDB69GiGDBlC165dqV69OjNmzGDGjBl4e3vTuXNnKlSowJtvvglAjx49iIuL4//%2B7/8o0DoV/YjKlSuzePFi9u7dS4sWLejfvz/t27eXF8Cq8TjHFggEAoFAIHiSCJdCgaCUxMbGKpY3aNCghFVL70/s7Ows/13UsqSnR48e9OihC7Xg5%2Bdn4If83HPPmbT4bCiymLboMfSMHj26RPZ2Y5Y30Fm/unTpYrSsa9euRtttrKx4P3366acG/4eFhRmsg2vZsiXR0dFG6zbW/qL1K7VLIBAIBALBY/AvtEiVNaIHBQKBQCAQCAQCgeAJISxcAoFAIBAIBAKBwDjCwvXYmEmSlsCiAoFA8C/h1Cnl8vLlwd0dzp%2BHh8qh1R%2B6N1MsL03kdS2/d2ZmunDXubnq9Vln3lQWsLTUJSFOS1MPF33%2BvHJ5hQr/C8l8/76yrFpi0vLldSHTExNV%2Bx/gYQPlBMOluQZqMWosLHRRnu/eVY%2BoVzluh7KAvT20awf796tHVXuUMNwk3t66vm/eXFN0xKx7yh1hbq7LjvDggXrwOLXofaXpfy2ROsuV0xZsT63dpRlLANZ3bykLWFpC5cqQkaE%2BntTCItraQuPGcOaMamoKyqvk27OxgXr14OJF7REIlY7VqBGcPatpbKrm/rKy0sX6T05Wj5yplm7Czg5eeAFOnFAPC68WLdDe/n/5PLQEalLKGVCaawnQooW6zJNA7Xfxz9BM%2Bffxn4ZQWQUCgUAgEAgEAoHgCSFcCgUCgUAgEAgEAoFxhEvhYyN6UCAQCAQCgUAgEAieEMLCJRAIBAKBQCAQCIwjLFyPjVC4BAKBQCAQCAQCgXGEwvXYiB4UPDE8PDyIi4t71s0owfbt2wkKCnpmx58yZQpjx441WR4UFMSXX34JQHh4OPPmzXtaTXvmJCcn4%2BnpyZUrV551UwQCgUAgEAjKBGHhEvwpLl%2B%2BzKJFizh8%2BDD379/H0dGRoKAgRo0ahYODw7NuniKhoaGEqoVRNkF0dDRvv/02VlZW8rZq1arRqVMnRo8eja2tbVk1E4DVq1drkjt69Civvvoqp0%2BfxtraukzbUBoKCgpYv349gwcP/lP716pVi4SEhDJulUAgEAgEgj%2BNsHA9NqIHBaXmt99%2Bo1evXlSvXp1vvvmG%2BPh4Fi1axLlz5wgLCyNbSy6PvzFVq1YlISGBhIQETp8%2BzfLly/npp5%2BYPXv2s27aM%2Bfs2bOsXLnyWTdDIBAIBAKB4C%2BDULgEpSYyMpKAgAAmTpxI1apVsbCwoGHDhixZsgQvLy9SU1Nl2Vu3bjFw4ECaNm1K165dOV8kQeo333xD165d8fb2JigoiI0bN8pln332GSNGjGDFihX4%2B/vTokULoqKi5PL09HS53u7du/Pjjz/i4eFBUlISoHNNGz58OH5%2BfrRo0YJJkyaR9SjZYXR0NP7%2B/gAkJSXh4eHBwYMHCQ0NxcvLi759%2B8r1qGFmZka9evV47bXX2LNnT4n69bzyyit89tln8v%2BSJBEVFYWPjw/t2rVjw4YNRusfMGAAn3zyifz/6tWrad%2B%2BPc2bN2fIkCEm2zllyhSmT5/OrFmz8PX1pWXLlqxYsQKAMWPG8PbbbxvIr127li5dugCQmZnJhAkTCAgIwNvbmxEjRnDz5k3V/jp9%2BjR9%2B/bl9u3beHp6cuTIEQA2bdpEly5daNasGZ07d2b37t0G5/fxxx/z0ksv8frrr8v1X7p0SbUthYWFzJ49m4CAALy8vOjWrRsHDhxQulwCgUAgEAhKi7l52X/%2BZQiXQkGpSEtLIz4%2B3qiCYGdnx6xZswy2bd68mQ8//JBq1aoxcuRI5s6dy9KlS7l27RqTJ09m1apVtGrViiNHjhAeHk7z5s1p0KABAPHx8TRt2pR9%2B/Zx4sQJBg0aRLdu3WjatCnvvPMOeXl5xMXFkZGRwfjx4%2BVjSpLEyJEjad68OZ9%2B%2BikPHjxg3LhxfPjhh0yfPt3oea1fv55ly5ZhbW3Nq6%2B%2BysqVK3n//fc190thYSEWFhaa5ePi4pg4cSKHDh1i//79jB49mmbNmtG0aVOT%2B8TExLBixQrWrFnD888/T2RkJBMmTGDTpk1G5b/99lumTJnCwYMH%2Beabb3j33Xfp3r07nTt35v3336egoEBu8549e%2BjatSugU9YsLS3ZtWsXFhYWTJs2jbffftvAvdFUf02fPp05c%2BZw8OBBAGJjY/n4449ZtmwZzZo1Y8%2BePUycOBE3Nzc8PDwA2LVrFwsWLMDT05Pk5GSDc1Bqy65duzh06BDffPMN9vb2bN%2B%2BncmTJ/Pjjz9Srlw5TdchNTWVW7duGWyrlpWFU7VqpnfSu2xqcN00M9NWriZXWhktsliqPP7197OW%2B7pCBeXy8uUNv7XImqIU/Q9lew3UukL/DqHpXcLeXrnczs7wWwlvb%2BXyR89U%2BVsFtfYX7TOtslrqepqUebvKcjypuabb2Bh%2BK6E2Tko5nhQveGnaBVDENd8o%2Bue4lue52jgpzTOooEDbsbSMTVC%2BnqXpswcPtB3vSfAvVJDKGqFwCUrFtWvXAKhbt64m%2Be7du8uyRYNBODs7c%2BTIEewfvXS0atUKR0dHzpw5IytcFhYWDBs2DHNzc1q1akWVKlW4dOkSTZo04cCBA8ybNw8HBwccHBzo06cP7733HgAJCQlcuHCBL7/8kvLly1O%2BfHlGjx7NkCFDiIyMNNrOsLAwnnvuOQACAgI0ryOSJIlLly6xatUq2UKkBScnJ8LCwgD4v//7Pxo2bEhcXJyiwrVt2zZCQkLk/hk7diw///wzhYWFRuWdnZ15%2BeWXAejatSsRERH8/vvvtGvXjpycHE6cOIGvr6%2BsREdGRpKWlsa%2BffvYvXu3fG0mTJhAu3btDBQTrf21detWXnzxRXx8fOR2rF69mh9%2B%2BEFWuJo2bWr0vNXacvfuXSwtLSlfvjwWFhb07NmTl19%2BGfNS/DBs3ryZhQsXGmwb9cYbjH7zTfWda9dWFdH42qH5XUcrmvRNR0dtlWlZk6m1roYNtclpQeMzqCyvgdb3SE3vYe3aaavs0dhRJD5eW11FvAiU0LoSVcu7q1bKcgxonG8p27qsKmuTq1RJXaayxrrc3LTJacHFpezqev75sqsLwMlJXaZWLW11NWr0eG0piq9v2dWl5VoeO1Z2xxM8dYTCJSgVZo%2Bm%2B0y95BfH2dlZ/tva2pq8vDy5ni%2B//JKtW7eSmpqKJEnk5uaSm5sry9esWdPg5bl8%2BfJkZ2eTmZlJXl4etYo8YD09PeW/r127RkFBAX5%2BfgZtKSgoICMjQ7Wd5cuXJycnx%2BQ56V3m9NSoUYMuXbowcuRIk/sUp169egb/u7q6yq5yprh27ZrBOTk6OioqecXPCSA7OxsbGxsCAwOJiYnB19eX2NhY6tevj5ubGydPngQoEVTEwsKClJQUqlSpYrRuU/2VlJREy5YtDbbVrl3bwJJVy8QPpV65N9WWkJAQduzYQdu2bfH396ddu3aEhISUSuHq06dPiYiV1TIzoYjrawmsrXXK1h9/gMJ9ApDt6q5Ybmamqy4nByRJua1aTsvMTPeCmJenXp/VvTRlAQsLnbKVmak%2B4/vHH8rl5cvrlK3ffoOHD5Vl1Wb3ra11ytaVK6r9D5BdR9mqU5prUOTxZBRzc52ylZUFao/ISvH7lQXs7HTK1vHjugqVGDdOubxBA52y1a8fJCYqywIPflJW4MzMdJf04cPHv29L0/9ajEP6%2B18NtWOVZiwBWN03/tsiY2GhU7bu3lUfT9evK5fb2Ohe0C9dArU101osXC4ucO2apvGkOAhsbHTK1uXL6u0CdStvuXI6ZSs1Vf2i3rihXF6%2BvE7ZOntW/Rl0545yuZ2dTtn6%2BWf1sQnwaHLSKKW5ls8SYeF6bITCJSgVrq6uAFy4cEG2cChhZsIf46uvvmL58uUsXryYFi1aYGFhQWBgoIGMqRdn6dGvn2URF46istbW1tja2vLLL7%2Botk%2BtncaoWrWq7DKnlYJiP7DFz02SJNXogmZmZvK5a0FJ8ejSpQsfffQRERER/Pe//5XdCW0eTeHHxcVR2cgsq37NmNb%2ByjXx41x0f1OumGptAdiyZQvx8fHs27ePBQsW8OWXX/LFF18Y3BtKODk54VR89vTUKfUfZNC9nKjIab1ckqQuW4pLr6k%2B8vO1VVZQoC57/762uh4%2BVJfVOhY19D%2BU7TVQe0/WU1ioQVbtpU5PVpa6rNZnXWKiJlk1ZVH/aJEkdVmtl1PTPVuGlOV9AZTteNLqOpadrS6r9URzcrS98GtRyrKztT1DtZpI8/LUZzu0KD6ga5eabFmOTYCKFdVltFxLwd8aobIKSkXlypXx9fVlzZo1JcoePnxIjx49OHHihGo9CQkJ%2BPj40LJlSywsLLh165ZBsA0lHBwcsLCw4HqRWcCiLm2urq48ePBAtpAAZGVlmbRulTXW1tY8LPJjU1BQUGJtUvE8U1evXi354l8MFxcXg/3S09NZvXq1bDUsDYGBgaSnpxMfH8%2BRI0dkhatWrVqYm5tz7tw5WTYvL0/V%2BmYKV1dXLl%2B%2BbLDt8uXLuGhwX1FrS05ODg8fPqR58%2BaMHz%2Beb7/9lvPnz5OoYQZfIBAIBAKBRkTQjMfm33fGgsfmnXfe4eTJk4wbN44bN25QWFjIb7/9xtChQ7GxsVFch6SnVq1aXL58mTt37pCcnExUVBQ1a9bU9GJvYWGBj48Pa9as4d69e1y5coWvvvpKLnd3d8fb25sZM2aQnp7O3bt3mTZtGpMmTXqs89ZK7dq1uX//Pj/99BO5ubksW7ashGUqKSmJr7/%2Bmry8PPbu3cu5c%2Bfo2LGjYr09e/Zk165dnDp1itzcXBYtWsT333%2BvOUBEUWxsbGjXrh1z5szB3d1dtlxWrFiRrl278sknn3Djxg2ys7OZO3cu4eHhmqxrNjY23Lt3j5s3b5KdnU337t3ZuXMnJ0%2BeJC8vj%2BjoaC5cuEBISIhqXWptmTFjBpMnTyY9PR1Jkjhz5gyFhYXUrFmz1P0hEAgEAoHABELhemz%2BfWcseGwaNGjAli1bKCws5OWXX8bb25sxY8bQsmVLVq9erUkBCAsLo3bt2gQGBvL666/Tv39/%2Bvfvz5o1a/jiiy9U958xYwZ3797F39%2Bft99%2Bm2HDhgH/c6ObM2cOkiQRHBxMx44dKSgoeGp5spo0acKgQYMYO3Ysbdu2xdLSEu9iUcQ6derEqVOnaNmyJdOnTycyMlI1EElwcDBjx47ljTfeoGXLlvz%2B%2B%2B/MmTPnT7ezc%2BfOHD9%2BvITy8%2B6771K7dm1CQkJo06YNFy9eZPHixZrcCFu2bImzszMdOnQgNjaWkJAQhg0bxqRJk/Dz82Pjxo2sXr2aOnXqaGqjUlvGjx%2BPubk5nTp1onnz5syYMYM5c%2BbI68wEAoFAIBAI/gqYSaVZFCIQ/IXIzc3F6lFY2SNHjjB48GBOnTolbxMI/hSnTimXly8P7u66wBoq6xQeujdTLDcz062Zzs4uu6AZVla65Q5q9VlnqliTLS110QfT0tTXnCgFGQFd2PjmzXXR9NTWcGkJ79yggW49koZ1Ig8bKIdML801UFviUpq4CJXjdigL2NvrIhnu36%2B%2BTqRYYJkSeHvr%2Br55c01ruLLuKXeEubkutsmDB%2BpruNQCXZSm/7UszdQaNEPL2jOtYwnA%2Bu4tZQFLS130wYwM9fH0%2B%2B/K5ba20LgxnDmjvu5HbZ2UjQ3UqwcXLz7%2BGq7SBKYAUJscs7LSRR9MTlZfw3X1qnK5nR288AKcOKG%2Bhis9Xbnc3h6CgiA2VtsariJBpkpQmmsJ0KKFusyToNiyiDJBa2TJfwjCwiX4WxIREcFrr73G3bt3uXfvHmvWrKF169ZC2RIIBAKBQCAQ/KUQCpfgb8nEiROxt7enQ4cOdOjQAQsLC2bMmPGsmyUQCAQCgUDwz0Ks4XpsRFh4wd%2BSypUrs2DBgmfdDME/ETXXFb1fk4ZQxd9%2Bq1yVgwN07AgHDujSXWk5rBJ6T5efflL3dPHyUk7rYGUFtYDkbEfVLql7XuVEHR117mxXr%2BpcFJV4FDHTJPqOcHTUFIpba7JiLYl3t25VLq9SBUJCdNdTzStpgI1Kp%2Br94jTcZ5pcANHl19KSQtGuosp6zUcuirYB6i6K27Yqt83BAYKD4eBB9TEQE6Nc7uICERHw8ce6tFJKqOW/rVYN%2BvaF6Gi4peItCGBrW02x3NFR5/m5/cfKGoaAcl2WllANuOXUWHUI1CBFWUA/nuztda6/Ktw0r6FYlSOQ9lwjTVHy1camuTlUBO5VqqV63z6wUV4DLfeZ6wvqfXbka2WB0qLkhqnv/9xcbSH3nxX/QgWprBE9KBAIBAKBQCAQCARPCGHhEggEAoFAIBAIBMYRFq7HRvSgQCAQCAQCgUAgEDwhhIVLIBAIBAKBQCAQGEdYuB4b0YOCxyInJwcPDw%2BOHj36rJvyRNi%2BfTtBQUHP5NgzZ85k0qRJz%2BTYfyckSWLw4MEsW7bsWTdFIBAIBIJ/HiJK4WPz7zvjfzC///47U6ZMoU2bNjRt2pSAgABGjx7N2bNnn3XTTHL%2B/Hl69%2B6Nt7c3/fr145pKaKm8vDwWLFhAp06d8PLywtvbmwEDBnD8%2BPEn0r7Q0FBiY2OfSN1KxMXF8d133/Huu%2B8CMGDAALy9vbl50zBZbVJSEh4eHprr3bp1K%2BkmwqcdPXoUDw8PPD09S3y8vZWTxz4pDh8%2BTEJCgqKMmZkZs2bNYsWKFfz6669PqWUCgUAgEAgE2hAK1z%2BE3377jZ49e1K1alWio6M5deoUmzZtomrVqvTt25fTp08/6yYaZebMmbz00kscP34cX19fPvvsM0X52bNnExsby4IFCzhx4gQHDhygdevWhIeHqyprfyfmzZvHgAEDqFixorzN2tqa2bNn/%2Bk6CwoKmD17NhkZGYpyx48fJyEhweDzi0ro5yfF2rVrNSlR1atXJzQ0lIULFz6FVgkEAoFA8C9CWLgem3/fGf9DiYyMJDAwkAkTJlCtWjXMzMxwdnZm2rRpjBs3DssiSXwuXLjAq6%2B%2Bio%2BPD35%2BfkybNo2cIvkfYmJi6NatG15eXgQFBbF%2B/Xq57MGDB4wbNw4fHx86dOhQwvoTHR0tW5/at2/P6tWrFdudkpJC69atsbCwoFatWpiZKed/OXjwICEhIXh4eGBhYYGdnR0jRowgKioKKysrALKzs4mMjKRdu3Z4eXkxYMAALl68KNfh4eHB2rVrCQgIYOHChTRp0oSff/7Z4DjdunVj%2BfLlREdH4%2B/vL28/c%2BYMffr0wcvLi06dOrF79265LDExkYEDB%2BLj40PLli2Jiooi71Eundu3b/PGG2/g5%2BdH8%2BbNGTRokEkF8fTp05w9e5ZevXoZbB8yZAg//fSTovtmZmYmEyZMICAgAG9vb0aMGCFbxXx9fbl37x7du3f/04rJ3Llz6d27N5Kky61z4cIFPD09SUhI4OjRozRu3Jh9%2B/YRHBxM06ZNGTVqFPfv35f3V7q3pkyZwjvvvMOAAQN48cUXGT58OPv37ycqKoqBAwcCsHz5ctq3b0%2BzZs3o1KkTO3bskPfv06cP%2B/fvL2EFFAgEAoFAIHiWiKAZ/wDS0tKIj49n48aNRssHDRok/52bm0t4eDihoaEsX76c1NRUhg8fzvz585k0aRKJiYm89dZbzJ8/n8DAQI4fP87w4cOpXbs2gYGBLF26lMTERHbt2oW1tTXTpk2T675x4waRkZFs3rwZDw8Pfv31V4YMGULLli1pZCLLpH791%2BHDh9mwYYPqOpy6devy9ddfExAQQMOGDeXt3bp1k//%2B5JNPOHv2LJs3b8be3p4FCxYwatQovvvuO1mhi4mJYfv27Tg6OpKQkEBMTAy%2Bvr4AXLt2jXPnzrFo0SKOHTsm1/vw4UOGDRvG4MGD2bBhA8eOHWP48OF4eHhQs2ZNhg4dyoABA1ixYgU3b95k5MiRrFq1Su5fe3t74uLiZEvThx9%2BaFTxOXz4MB4eHlSpUsVgu6OjI6NHj2b69Ols377dQInWM2XKFCwtLdm1axcWFhZMmzaNt99%2Bm9WrV7Njxw6Cg4PZsWMHbm5uiv1sijfeeIPvv/%2Be6OhoevbsyYwZM%2Bjfvz%2Benp4cPXqU/Px8tm/fTnR0NNnZ2QwePJj58%2BcTERGhem8B7N27l1mzZtGuXTvMzMwICgritddeIywsjPj4eNavX8%2BWLVuoUaMGBw8eZPTo0QQEBODo6Ej9%2BvWpXLkyR44coXv37prOJzU1lVvFsppWe/AAp6pVTe%2Bkz9apIaOug4Nyud6AWcSQaRILC3UZOzvDbyUezU%2BYpFw5w29FHB2Vy%2B3tDb%2BVUMvwrC/Xkgm6jCk2JEtQqZLhtyJWZXdzqE0W6%2BexzMw0TiyruRA3aGD4rUBZjgEXF%2BXy554z/FaimnJuYSpXNvxWQ%2B1x8OyGQNmOJ0uF%2B0f/jNLyrAL1e1FfruWeLdM%2BU7tIpXnQgnJC6fLlDb%2BVKDJ5%2BdT5F1qkyhxJ8Lfnl19%2Bkdzd3aXbt2%2Bryu7Zs0d64YUXpJycHHnb559/LrVr106SJEmKioqShgwZYrDPm2%2B%2BKU2aNEmSJEnq3LmztH79erksISFBcnd3l44cOSJduHBB8vT0lK5evSqXFxQUmGxLVlaWNHbsWMnd3V2aOXOmlJGRIUmSJN25c8fkPsnJyVKfPn0kd3d3qX379tKECROknTt3yudTUFAgeXt7Sz/%2B%2BKO8T05OjuTp6SmdPHlSkiRJcnd3lz7//HO5/Ouvv5aCgoLk/1etWiX16tVLkiRJ2rZtm9S6dWtJkiTpv//9r%2BTr6yvl5%2BfLsjExMVJSUpK0e/duWa5ovZ07d5b78L333pMKCwtV%2B2X8%2BPHShAkTDLb1799f2rZtm5Sfny%2B99NJL0po1ayRJkqRr165J7u7ukiRJ0u3btyV3d3fp4sWL8n7Xr1%2BX3N3dpdTUVFm2aHlRjhw5Irm7u0tNmjQp8ZkxY4Ysd/jwYcnf31/atm2b1KFDB%2Bnhw4cG%2B586dUqWXbdundSxY0dJktTvrcmTJ0s9evQwKG/fvr20ceNGSZIkaf/%2B/VKbNm2ktLQ0ubx4P/bv31/6%2BOOPjZ6fMRYsWCC5u7sbfBbMn695f4FAIBAIngoHDjy7Y2dllf3nX4awcP0D0Ftt8vPz5W3Hjh0jPDwc0EVxq1GjBnv27CEpKQkXFxfZ/Q6gdu3aXL9%2BncLCQpKSkkpYP2rXrk18fDygs2I5OzvLZXXq1JH/dnNzo3v37nTp0gVfX18CAgJ4%2BeWXqWxkijArK4uwsDC8vb1p3Lgxrq6uODg4kJaWRseOHTl06BA2RqYMa9asyaZNm7h48SKHDh3i2LFjTJ06lfnz5/P5559jbm7O/fv3GTlypIF7YmFhISkpKTRr1kyuR09wcDBTp04lMTGRBg0asGfPHkJCQkoc%2B%2BrVq1SvXh2LItN3wcHBAOzatYu0tDQ8PT3lMkmS5H4eOnQoI0aM4MCBAwQEBNClSxdatWpV4higcwss2q9FsbCw4L333mP48OEl2qh3UQwNDS2xT0pKSgmLjciObwAAIABJREFUmSmOHz%2BOtbW1yfKWLVvSpk0bIiIiWL16dYnr9Pzzz8t/16xZk9TUVADVewugVq1aJo/bqlUrGjVqRFBQEK1ataJt27Z0794dW1tbWaZy5comg4IYo0%2BfPiWiUFa7fRvOnDG9k40NuLnBpUuQna1Y/57rjRXLK1aEli3hyBG4d0%2B5rVotXL6%2B8PPPkJWlLKsWa6VcOXBygtRUeOQZa5Jax7YrC9jbQ/v2sG8f3LmjLFvEhdcolpY6s0NGBhR55plCqqpiykBn%2BXnkJatIEQ9io1SqBG3awIEDcPeusmyI1R5lgVLcHA/8OyqWm5npJtAfPtR2nrYBzZUFGjSAjRuhXz9ITFQU3ftxvGJ5xYr/u2fVxoBaMNznnoMhQ2DVKlDzLC7ymDJK5crQqRP88IPuVlNDi4XrWQyBatxSFijleEozNz2eLCx0Fs3MTCgoUK1K1cpubq4zDt2/D4WFyrIqj%2BLS9VmCSqCs0jxoQdlMWr68bjwlJuoGqOAfi1C4/gHUqVMHMzMzLl%2B%2BzHOPfClatGghR3eLjo6WXddyc3ON1qFXTtTK8/LyKCjyJJWK/HqbmZkxffp0hg4dSkxMDN9//z0rVqxgy5YtuBTzBdm8eTO1atUiMjKSM2fOEB4eTtu2bYmNjSUwMNCoslWUevXqUa9ePV599VVu3bpF7969WbduHSNGjABg06ZNNGnSxOT%2BRZWmihUrEhAQQExMDI6Ojpw%2BfZp58%2BaV2Mfc3JxCE099a2tr6tevz86dO42We3p6Ehsby4EDB9i/fz%2BjRo3ilVdeYfLkyUbllday%2Bfj4EBgYyMcff8ybb74pb9f3WVxcnFElNykpyWSdpSU5OZny5ctz5coVWrdubVBWUOyXVuu9BYbXpThWVlayS%2BvevXv54osvWL16NdHR0XJwETMzM4N7Ug0nJyecnJwMNx47Bg8eqO%2Bcna0ql5mprR337qnLlsaDLitL/aXOxOUoQV6eBtm0NG2V3bmjLqvhpU%2BW0ypbRmjV5e/e1SBrU3Y3h9rLqN4bSJLUZQHQGiQnMVFVtizHgNa4SDdvqstqcWEE3Qv6LRWdBaDIvI8iT38IlO14ytfgWVZQoO0ctD7TCgvV79sy7TO1h6ceLQ9aUNcsQadsPUuXQTWES%2BFjI3rwH4C9vT3%2B/v4mA1QUVRJcXFy4du2awcvv5cuXcXZ2xtzcHFdXVy5fvmyw/%2BXLl2WFycnJiZSUFLmsaDCKwsJC7t69S%2B3atRkyZAhbtmyhXr167NlTciY3OTmZunXrAtC4cWOGDx/OG2%2B8wZo1axg%2BfLjR87hx4wbvv/8%2BWcVmlKpVq0aDBg14%2BPAhFStWxMHBgXPnzhnIqCkbnTt3Zt%2B%2BfcTExODl5SUrrkVxcXEhOTnZoO%2B2b9/Ob7/9hqurK9euXTMIEJGRkSG3NTMzk3LlyhEcHMz06dNZsmQJmzZtMtoWBwcHMlXePCZNmsTevXtLWIfMzc0Nzj0vL6/Mg0hs3bqVtLQ0Vq5cyaeffmpwP4DOEqgnOTlZ7ku1e0uNvLw8srKyaNCgAW%2B88Qbbt2/HzMyMQ4cOyTLp6emaLXkCgUAgEAgETwOhcP1DeOeddzh9%2BjRjx46VlYvMzEy%2B%2Buor5s6dS9OmTQFo27YtlpaWLFq0iNzcXC5fvsz69etlN7Ru3bpx8OBB9u3bR35%2BvmyR0Ze3adOGLVu2cOvWLdLT01m5cqXcht27d9O7d2/5pTo5OZmbN2/i6upaor0vvPAC3377LWfPnkWSJJo3b861a9cwMzPD1ta2hJUEoEqVKhw6dIiJEydy%2BfJlCgsLefjwId9%2B%2By2HDx%2BWXcP69u3LkiVLuHTpEnl5eaxdu5ZevXrxUMFcHxwczMWLF/nmm2/o2rWrUZm2bdtia2vL0qVLycnJ4eeff2batGlYWFgQEBBAlSpV%2BPDDD8nKyuLWrVu89dZbfPLJJ3KbVqxYQU5ODnl5eZw6dYratWsbPU79%2BvW5cOGCybYCPPfcc4wYMYKPPvpI3laxYkW6du3KJ598wo0bN8jOzmbu3LmEh4cjSZJsAfv9999LKK1aSUtL4%2BOPP%2Ba9997jhRdeoHPnzrz//vsGMmvXruXevXvcuHGDzZs30759e0D93jKGtbU1V69e5d69e6xevZrXXnuNGzduAHDp0iXu3LljcH9dunQJd3f3P3VuAoFAIBAIjCDCwj82wqXwH8Lzzz/Ptm3bWLRoEf369SMzMxNbW1saN25MRESErERUqFCB5cuXM3v2bFq1aoWDgwOhoaGyVcnb25sZM2YwZ84cxo0bh7OzM5988okcwW/ixIlERETQuXNn7O3tiYiIYP/%2B/QCEhIRw4cIFBg4cyN27d6latSq9e/emQ4cOJdobEhJCcnIyb775JqmpqdSsWZPJkydz9epV%2BvTpg42NTYmQ81ZWVmzYsIHPPvuMIUOGkJ6ejrm5OQ0bNmTOnDm0adMGgJEjR3L37l369etHXl4eDRs2ZMWKFZRXiAJUsWJFWrVqRVxcnMmQ6VZWVqxZs4YpU6awcuVKatSowcyZM%2BUX/MWLFxMVFYW/vz92dnYEBwfLLoPz5s3jgw8%2BYMmSJVhaWuLp6SkrY8Vp1aoV8%2BbNIyMjw6hroJ6BAweybds2gyh77777LtOnTyckJARzc3O8vLxYvHgxZmZmVK1alU6dOvHWW2/Rt29fpk6darReHx8fo9v17qEBAQH4%2BfkBMH78eDp37sy3335LtUdhv4KDgwkNDSU1NZXAwEDZ7VHt3jLGK6%2B8wrx58zh06BBfffUV169fJzQ0lOzsbGrUqMGECRPkaJUXL14kPT2dli1bmqxPIBAIBAJBKfkXKkhljZlUmgUPAoHgqdCjRw%2B6du3K0KFDn3VTNHP06FFeffVVTp8%2BrRh040kxY8YMrl27xtKlSx%2BvoiKpAIxiawuNG%2BsCa6is4frq9xaK5Q4O0LEj7NlTNmu47O0hKAhiY9WXFnh5KZdbWUGtWpCcrL6Gq27sKmUBR0cIDYXt29UXsJiwMMtYWupiet%2B6pS1oRvUaqjJag2Z8/rlyeZUqEBICu3apr%2BEaYPOVskApbo6sLr0Vy83Ndbftgwfa1nDZVVTOh4i3N8THQ/Pmqmu4tm1V7lgHBwgOhr171cdATIxyuYsLRETAzJnqa7hMZCqRqVYN%2BvaFTZvKZg3XsxoCNUhRFijleLppbno8WVrqzjMtTduaKrVAI%2BbmurV29%2B6p37dqy25L1WdHvlYWKM2DFpRzEFSooBtPv/yibQ1XQIC6zJNALXLSn0FTzhHTJCcn88EHH3Dq1ClsbW3p2rUr48ePx9yIcrh%2B/Xq%2B%2BOILbt26hYeHB%2B%2B88468zj8nJ4cZM2awf/9%2BcnJy8PPz44MPPlCc8P4zCJVVIPgLMmbMGNavX/%2BnXf/%2Bbdy8eZPt27czatSoZ90UgUAgEAj%2BWfwFXQpHjx7Nc889R0xMDGvWrCEmJoZ169aVkIuNjeWzzz7jo48%2B4tChQ7Rv357hw4fz4JGW/umnn3LmzBk2b97MDz/8gCRJvP3224/dvuIIhUsg%2BAvStm1bOnfuTGRk5LNuyl8e/cNx6NChipEpBQKBQCAQ/P1JSEggMTGRCRMmULFiRerUqcOgQYPYvHlzCdnNmzfTo0cPmjVrho2Njew5pF9PvnXrVkaOHEmNGjVwcHBgzJgx7N%2B/v8wDjok1XALBX5SIiIhn3YRS4efnVyI65NPAzMzMZITOP4Va%2BHx7e51L4c2bqu4kvaNUXEIbNICOm%2Bm4so9qPiNNNGgAQZsJWqahvmL5x0rg7Azjx1Nr0xzVPhmY/qliee3aEBkK78WH8scfyodd1%2BiwskCFCjoXnZQUTS44Zmq%2BXo/8lsyy1P2WBnyjcj3r1oWQjwj5cRJcuaIo2htll8K6deGjjjBpT0e1qlj/onK5PvOCufn//lZCkxsguhxbam6APXtpc08MnqjunthTYR0uoPOTjThExLet4eRJZdnq1ZXLGzeGvjvp%2B8VLynn59Ki5UTdqBKHbCN3QE86eVZatMlO5/JFLW7UEDS5t8cp50KhRA0aOhK%2B%2B0o0pFYxF8JWpVg369MExZrM2P8zr15XLa9aEUaOouG6hqqz9kCHKdVlZAS5Uy76m6iO94vbLiuWOEvQAojODNGXEeC1fYaw7OOi%2Bb9/WnkPhWfAE1nClpqYarEEHXdTpEqlajHDmzBlq1aqFvb29vK1x48ZcuXKFrKws7OzsDGSLBkPTr/1PSEigYcOG3Lt3j8aN/5cz083NDRsbG86cOaN8v5cSoXAJBAKBQCAQCAQCo0homKkpJZs3by4RpGzUqFGMHj1add/MzEwqVapksE2vfGVkZBgoXJmZmQaKmV42IyNDTsFTvK5KlSqRoSXjeSkQCpdAIBAIBAKBQCB4avTp00dO56OnmlKAkWKUJuafmuzTiB8oFC6BQCAQCAQCgUBgFC3RTUuLk5OTJvdBY1SpUkW2TunJzMzEzMyMKlWqGGyvXLmyUdn69evLspmZmVSoUEEuv3PnDo6Ojn%2BqbaYQQTMEAoFAIBAIBAKBUQoLy/7zODRp0oSUlBTSi%2BTfSEhIoF69egaKk172TJF1mAUFBZw9e5ZmzZrh4uKCvb29Qfn58%2BfJzc0t8yBcQuES/OXJycnBw8ODo0ePPuumPBG2b99ewqz%2BtJg5cyaTJk16JscuK44dO0ZgYKDBg1cgEAgEAsE/k0aNGuHp6cmcOXPIysri0qVLrFmzhrCwMAA6d%2B7M8ePHAQgLC2P79u2cPHmShw8fsmTJEqysrGjXrh0WFha88sorLF26lJSUFDIyMpg7dy4dO3akatWqZdpmoXAJSsXvv//OlClTaNOmDU2bNiUgIIDRo0dzVi3q0jPk/Pnz9O7dG29vb/r168c1lYyYeXl5LFiwgE6dOuHl5YW3tzcDBgyQB29ZExoaSmxs7BOpW4m4uDi%2B%2B%2B473n33XQAGDBggP8SKf5YvX/7U21dQUMCaNWtU5Vq0aEHHjh3l8xAIBAKBQFB2/NUsXAALFiwgNTUVf39/Xn31VUJDQ%2BnXrx8AV65ckfNstW3blnHjxjFmzBh8fX05dOgQy5cvx%2BZR5u0333yTZs2a0b17d4KDg6lQoQIzZsx4/AYWQ6zhEmjmt99%2Bo3///oSFhREdHU3VqlVJTk5m1apV9O3bl88//5ymTZs%2B62aWYObMmbz00kv85z//4bPPPpMT4Jli9uzZnDhxggULFlCvXj0ePnzIhg0bCA8PZ9euXbi4uDzF1j855s2bx4ABA6hYsaK8LTw8nAkTJjzDVv2Ps2fPsnLlSgYPHqwq%2B/rrrxMcHMyZM2cMwrsKBAKBQCD451G9enVWrFhhtKx4ipp%2B/frJylhxrKysmDZtGtOmTSvzNhZFWLgEmomMjCQwMJAJEyZQrVo1zMzMcHZ2Ztq0aYwbNw5Ly//p7xcuXODVV1/Fx8cHPz8/pk2bRk5OjlweExNDt27d8PLyIigoiPXr18tlDx48YNy4cfj4%2BNChQ4cS1p/o6GjZ%2BtS%2BfXvVHEwpKSm0bt0aCwsLatWqhZlKIpqDBw8SEhKCh4cHFhYW2NnZMWLECKKiorCysgIgOzubyMhI2rVrh5eXFwMGDODixYtyHR4eHqxdu5aAgAAWLlxIkyZN%2BPnnnw2O061bN5YvX050dDT%2B/v7y9jNnztCnTx%2B8vLzo1KkTu3fvlssSExMZOHAgPj4%2BtGzZkqioKPLy8gC4ffs2b7zxBn5%2BfjRv3pxBgwaZtOadPn2as2fP0qtXL8W%2BKMrt27fx9fVl//798rZx48YxYsQIQGchmzt3LmPGjMHLy4vAwED27Nkjy965c4dJkyYREBCAt7c3r7/%2BOkmP8jslJSXh4eHBxo0b8fX1ZeHChfTt25fbt2/j6enJkSNHuHLlCoMGDcLHx4cWLVowatQoOWyrk5MT7du3Z9OmTZrPRyAQCAQCgTp/RQvX3w1h4RJoIi0tjfj4eDZu3Gi0fNCgQfLfubm5hIeHExoayvLly0lNTWX48OHMnz%2BfSZMmkZiYyFtvvcX8%2BfMJDAzk%2BPHjDB8%2BnNq1axMYGMjSpUtJTExk165dWFtbG8w63Lhxg8jISDZv3oyHhwe//vorQ4YMoWXLljRq1Mho2/Trvw4fPsyGDRtYtmyZ4rnWrVuXr7/%2BmoCAABo2bChv79atm/z3J598wtmzZ9m8eTP29vYsWLCAUaNG8d1338kKXUxMDNu3b8fR0ZGEhARiYmLw9fUF4Nq1a5w7d45FixZx7Ngxud6HDx8ybNgwBg8ezIYNGzh27BjDhw/Hw8ODmjVrMnToUAYMGMCKFSu4efMmI0eOZNWqVXL/2tvbExcXR0FBAbNnz%2BbDDz8skecC4PDhw3h4eJSI5qNE1apVmThxIrNmzaJ169acPn2auLg4du3aJcts2rSJjz76iI8%2B%2BogtW7YwduxY4uLiqFKlClOnTiUrK4tvvvkGKysrIiIiGDNmDFu3bpX3//nnn4mNjaVChQrUrFmTOXPmcPDgQUBnfWvevDkrV67k/v37TJ48mSVLlsgJov38/Fi7dq3m8wETiRfz8nBS8t3W5/cokufDJA0aKJfXrWv4/biUpj5nZ%2BVyffQoDVGkaldULq9Rw/BbkWILnkugT36rlgRXj1rCTn25lsSeav1aq5bht1JVKuWlqEo1mbG%2BXEvSY/hfLlZT6I3iFVWuO6BLbKyEfoyojRWARy5AJnF3N/xWQi0CmZub4bcajybjTFKasVksZ1AJSvMMUht0%2Bmed1vUqSv1WubLh9%2BOiDxGuJVS4Wv%2BXK2f4rYDaraEfH2rjRKaigmBpBtMzTIz8b1SQyhxJINDAL7/8Irm7u0u3b99Wld2zZ4/0wgsvSDk5OfK2zz//XGrXrp0kSZIUFRUlDRkyxGCfN998U5o0aZIkSZLUuXNnaf369XJZQkKC5O7uLh05ckS6cOGC5OnpKV29elUuLygoMNmWrKwsaezYsZK7u7s0c%2BZMKSMjQ5IkSbpz547JfZKTk6U%2BffpI7u7uUvv27aUJEyZIO3fulM%2BnoKBA8vb2ln788Ud5n5ycHMnT01M6efKkJEmS5O7uLn3%2B%2Bedy%2Bddffy0FBQXJ/69atUrq1auXJEmStG3bNql169aSJEnSf//7X8nX11fKz8%2BXZWNiYqSkpCRp9%2B7dslzRejt37iz34XvvvScVFhaq9sv48eOlCRMmGGzr37%2B/1LBhQ6lJkyYlPunp6ZIkSVJhYaHUv39/acmSJVJoaKi0adMmg/1fe%2B01%2Bf%2BCggLJ19dX2rFjh5SRkSF5eHjI/SNJknThwgXJ3d1dunr1qnTt2jXJ3d1d2rdvn1xetF8kSZJ69uwpLVu2zKD%2Bohw9elRyd3eXHj58aPK8i7NgwQLJ3d3d4LNg/nzN%2BwsEAoFA8FTYsuWZHTorq%2Bw//zaEhUugCb3VJj8/X9527NgxwsPDAV3SuBo1arBnzx6SkpJwcXGR3e8AateuzfXr1yksLCQpKQm3YrOGtWvXJj4%2BHtBZsZyLzL7XqVNH/tvNzY3u3bvTpUsXfH19CQgI4OWXX6aykRm1rKwswsLC8Pb2pnHjxri6uuLg4EBaWhodO3bk0KFD8qLJotSsWZNNmzZx8eJFDh06xLFjx5g6dSrz58/n888/x9zcnPv37zNy5EgD98TCwkJSUlJo1qyZXI%2Be4OBgpk6dSmJiIg0aNGDPnj2EhISUOPbVq1epXr06FhYWBvsC7Nq1i7S0NDw9PeUySZLkfh46dCgjRozgwIEDBAQE0KVLF1q1alXiGKDLOVG0X/WoreEyMzMjKiqKl156iSZNmvDKK68YlNctMntrbm5OjRo1SE1N5fr160iSZHDdXV1dAUhOTpavd9E%2BK86oUaOYOHEi27dvJyAggBdffNFgzaD%2BHsjIyKCGJlOKicSLZ86AUhATOzvw9YWff4asLOUDqFhTqVsXZs%2BGKVPgyhVNbS6z%2Bh5ZW03i5AQDBsCGDZCaqij63p3xiuU1asCIEbBkCaSkKB82stdpZYHy/8/eeYdFcXUN/EdREEWwGxGwBo0BASsRsKCxYEHsJiYGYi%2BoMdYoBkvkDUYRexBLNHZfNeprlE9RIwQ1xh4jilFEUVQQUaR/fyw7YWV3ZogYU%2B7veXxW5p49907ZmXvmnHtOGahfH%2BLiICNDXhaUPQrGxhqv2tOnyq9xZ8%2BWb7exgYAACA2FxERZ0UkYXkdaTFUEBcm3GxmBmRlkZoKa%2Bp4FTmWDWFr%2B/hN48kRe1utTV3mBBg3g229h4EC4ckVeVo2Ha%2B1aGDwYrl6Vl1Xj4Vq0CMaNg%2BvX5WVBnYcrJAQmTlT%2BbY4aJd9enHuQ0jGtXBn69oWtW%2BHBA3lZUPZwvfsuHDwIBeHesrwQXVCEKlWgXz/YskVZtkcP%2BfZSpaB6dUhKgoIwfEPsPCW/TtvaGtq10zwm1DidfC0PGW60tISWLeHHH5V/TK8R4eF6eYTBJVBFrVq1MDIyIj4%2BnmrVqgGa7HAXLlwANOuqtKFrWVlZenVojROl9uzsbHJzc6Xt%2BYVmCEZGRsyePZuPP/6YyMhIDhw4wNdff83WrVuLJLPYsmULNjY2BAUFcenSJfz8/PD09OTw4cO0bt1ar7FVmHr16lGvXj0%2B%2BOADkpOT6dOnD%2BvWrZPWLG3evFm2TkNho8nS0hJ3d3ciIyOpVKkS58%2BfZ9GiRUW%2BY2xsTJ6BO5uZmRn169fnu%2B%2B%2B09vu6OjI4cOHOX78OFFRUYwePZq%2BffsyefJkvfJKa9kMkZSUhKmpKUlJSWRkZGBhYSG1FT5voDl3RkZGBs/5i%2BMofMxepE2bNkRFRXH06FH%2B7//%2Bj/fff59Jkybx/vvv6%2BjJL0bFeL2FF69ehcePlb%2Bcnq4spzTZ0XLjhnrZktInY9zqcP8%2BFKy1M8RNlRn5796FmzcVhJ4%2BVacsI0OdrNqZgpqFBWqN4sRERVm15rUKVaqMKK2cGlm1kUtPnqiQ/flndcquXFGWVRtGevUqnD0rL1O9ujpd169DoRo9BjEzU6fvxg1Qyuqr5v4D6u5BSm84tDx4oE5Wze8pJUXZQAK4c0dZBjS6lGRlnjE6ZGcryj58qE5VaqpK2VwVPyhVPybB3xmRNEOgCisrK1q1amUwQUVhI8HW1paEhASdSXZ8fDw1a9bE2NgYOzs74uPjdb4fHx8vGUxVq1blbqEbf%2BFkFHl5eaSlpWFvb4%2B/vz9bt26lXr16OskZtCQmJkoel0aNGjF8%2BHBGjRrFmjVrGD58uN79SEpKYtasWaS/8NawSpUqNGjQgIyMDCwtLbG2ti6SBee2wqS0U6dOHDlyhMjISJydnSXDtTC2trYkJibqHLtdu3bxyy%2B/YGdnR0JCAk8LTTJTUlKksaamplKqVCm8vLyYPXs2y5cvN5hEwtraukjldTVkZWUxc%2BZMPv/8c%2BrXr1/EaCycpCMvL4%2BkpCSqV68undvC5137f62nS4mUlBTKli1Lly5dWLBgAZ9//jlbtmyR2rV1uIqzLk0gEAgEAoE8ImnGyyMMLoFqpk%2Bfzvnz5xk/frxkXKSmprJt2za%2B%2BuorKbzL09MTU1NTli5dSlZWFvHx8axfvx4fHx9Ak3zixIkTHDlyhJycHMkjo2338PBg69atJCcn8%2BjRI8LDw6Ux7N%2B/nz59%2BkiT9cTERO7du6d30t6kSRP27t3L5cuXyc/Px9XVlYSEBIyMjLCwsCjijQHNZD06OppPP/2U%2BPh48vLyyMjIYO/evcTExEjhZ/3792f58uVcv36d7Oxs1q5dS%2B/evcmQCXHy8vLi2rVr7Nmzhy5duuiV8fT0xMLCghUrVpCZmcnJkycJDAzExMQEd3d3KlasSHBwMOnp6SQnJxMQEEBISIg0pq%2B//prMzEyys7M5d%2B4c9vb2evupX78%2BcXFxBsdqiKVLl1K1alW6devG9OnT2bp1K%2BfOnZPaf/75Z6Kjo8nKymLDhg08ffqUVq1aUalSJdzd3QkNDSU1NZXHjx%2BzaNEiWrRoYTD8z9zcnCdPnnDv3j2eP39Ox44d2b17Nzk5OTx//pxLly7pnPe4uDjs7OwUPZcCgUAgEAjUIwyul0eEFApUU6dOHXbs2MHSpUsZOHAgqampWFhY0KhRI6ZNmyYZEWXLlmXVqlXMnz8fNzc3rK2t8fHxkbxKLi4uzJ07lwULFjBhwgRq1qxJSEiIlMHv008/Zdq0aXTq1AkrKyumTZsmpSL39vYmLi6ODz/8kLS0NCpXrkyfPn1o3759kfF6e3uTmJjI2LFjuX//PjVq1GDy5MncunWLfv36YW5uXiTlfOnSpfnmm28ICwvD39%2BfR48eYWxsTMOGDVmwYAEeHh4AjBw5krS0NAYOHEh2djYNGzbk66%2B/poxMyIulpSVubm4cO3ZMb%2BZAbf9r1qxhypQphIeH88YbbzBv3jzeLMi6tWzZMubMmUOrVq0oV64cXl5eUsjgokWL%2BPzzz1m%2BfDmmpqY4OjpKxtiLuLm5sWjRIlJSUnTWv0VERLBu3boi8q6urkyfPp1169ZJWQXt7Ozw8/Pjs88%2BY%2BfOnYDGmN6yZQsjR46kfPnyhIaGYl2Qyik4OJjPP/%2Bczp07Y2xsjJubG1988YXB49WyZUtq1qxJ%2B/btCQ4OJjQ0lP/85z8EBgZibm5O06ZNmTlzpiR/8uRJWrZsaVCfQCAQCAQCwetAGFyCYlGzZk3ZSbIWJycngynkAXr27EnPnj31tpUrV47FixfrbLtUKIZ%2B/PjxjB8/XtV4hw4dytChQ4tsnzRpksHvVKtWjTlz5sjq1aarN1Qo78VwQy0rVqwoss3X1xdfX1/p7/r167Njxw6932/QoAEbNmww2LZp0ybZcWtxcnKiYcOG7Nixg48//hiAb775RvF7Z19YFzF27FjGjh0r/W1ubk5oaKje71auXJmwsDC9bTVr1ixyzCpWrKhTgwzgv//9r97vJydc88yVAAAgAElEQVQnc/jwYVGHSyAQCASCEubf6JEqaURIoUDwL2XcuHGsX7%2B%2ByHq1vyNff/01np6eNGrU6HUPRSAQCAQCgUAHYXAJBP9SPD096dSpE0FKOaX/4pw%2BfZrvv/%2Be2UopuwUCgUAgEBQbsYbr5REhhQLBv5hp06aVmC41IYmvgqZNm3L06NGSU1ioBpxetGnwq1XT1FCRQybNvU67iYmyrBqKo08pxbY2zbWZmaKsUkZmbdkbFRmZQSnLpHZc5curS8VtrPBeUduuJAdQqA6hXrSJeHJzFWVzFaoyaCckeXm/qzWEqconudpLLDJSvt3WFry8IDYWCiUm1UsvpetMm%2BTG3Fz5mlSqu/b8%2Be%2BfSrJK%2BfG17Wpz6ZckSidU225qqiyrdD%2BrXFnzWa2augtErr9i3DMATd0uObT3V0tLZVml36Z231T8Np89k1dVtqzm8/lzZVkAnGsZbtM%2BT2rU0BT4%2BovybzSQShrh4RIIBAKBQCAQCASCV4TwcAkEAoFAIBAIBAK9CA/XyyM8XAKBQCAQCAQCgUDwihAeLoFAIBAIBAKBQKAX4eF6eYSHS/C3IDMzEwcHB2JjY1/3UF4Ju3btol27dq%2Bl73nz5snWJfur8%2BjRIzw9PTl9%2BvTrHopAIBAIBP84RJbCl0cYXIJi89tvvzFlyhQ8PDxwcnLC3d2dMWPGcPny5dc9NINcvXqVPn364OLiwsCBA0lQSK2VnZ3N4sWL6dixI87Ozri4uDBo0KBXNqn38fHh8OHDr0S3HMeOHeN///sfM2bMAGDKlCmqi0r/GWzfvp1Hjx7JylSsWJEZM2YwceJEnj59%2BieNTCAQCAQCgUAdwuASFItffvmFXr16UblyZXbu3Mm5c%2BfYvHkzlStXpn///pw/f/51D1Ev8%2BbNo1u3bpw%2BfZrmzZsTFhYmKz9//nwOHz7M4sWL%2Bemnnzh%2B/DjvvPMOfn5%2Bisba34lFixYxaNAgLJXSm78GcnNzmT9/PikpKYqyHTp0oHz58mzduvVPGJlAIBAIBP8ehIfr5REGl6BYBAUF0bp1ayZOnEiVKlUwMjKiZs2aBAYGMmHCBEwL1eiIi4vjgw8%2BoGnTprRo0YLAwEAyMzOl9sjISLp3746zszPt2rVj/fr1UtuzZ8%2BYMGECTZs2pX379kW8Pzt37pS8T23btiUiIkJ23Hfv3uWdd97BxMQEGxsbjIzki%2BCcOHECb29vHBwcMDExoVy5cowYMYI5c%2BZQunRpAJ4/f05QUBBt2rTB2dmZQYMGce3aNUmHg4MDa9euxd3dnSVLlvD2229z8uRJnX66d%2B/OqlWr2LlzJ61atZK2X7p0iX79%2BuHs7EzHjh3Zv3%2B/1HblyhU%2B/PBDmjZtSsuWLZkzZw7ZBYWOHjx4wKhRo2jRogWurq4MHjzYoIF4/vx5Ll%2B%2BTO/evQ0eBwcHB/bt24evry9OTk4MHTqUpKQk/P39cXFxwdfXl9u3bwMQFhbG4MGDWbZsGS1atKBJkyaEhoZKuvLy8li6dCkdOnTAycmJnj17EhMTI7W3a9eO5cuX4%2BXlRWBgIM2bN%2BfJkyf06NGDJUuWkJGRweTJk3Fzc8PFxYX%2B/ftz8eJF6fv9%2BvVj8%2BbNhk%2BqQCAQCAQCwWtAGFwC1Tx8%2BJAzZ87w3nvv6W0fPHgwb731FgBZWVn4%2BfnRuHFjfvjhB7Zt28apU6ekCfiVK1cICAhg7NixnDp1irlz57JgwQKpgO2KFSu4cuUK%2B/btY/v27Rw4cEDqJykpiaCgIBYvXszZs2cJCwtj5cqVsiGN2vVf33zzDV9//TXDhw%2BX3dfatWvz3//%2Bl19%2B%2BUVne/fu3alWrRoAISEhXL58mS1btvDjjz/i6OjI6NGjyS9UJDMyMpJdu3YxatQoWrVqRWShiqIJCQn8%2BuuvdO7cWaePjIwMhg0bxrvvvsvJkyeZOXMmkydP5vr162RkZPDxxx/zzjvvEB0dzbZt24iNjWX16tUAhIaGYmVlxbFjx/jhhx%2Bws7MjODhY7z7GxMTg4OBARYVCs5s3b2bFihXs2bOHmJgYhgwZwieffMLx48fJzc1lzZo1kuy5c%2BfIzs7m%2BPHjrFq1ijVr1kj7vHHjRrZt28aSJUs4ffo03bp1Y%2BTIkTx8%2BFD6/r59%2B4iIiGDWrFns3r0bgN27dzN69GjWrVvHgwcPOHToELGxsXh4eEihkADNmzfnt99%2BIykpSXZ/BAKBQCAQqEd4uF4ekaVQoBqtp6RWrVqKsseOHSMjI4MxY8ZQunRp7OzseO%2B99wgPD2fSpEns2LEDNzc32rdvD4Cbmxtt2rRh//79tG7dmkOHDjFw4EDJuBkyZIhkdKWnp5OXl4dFQYX2t99%2Bm5iYGIyN9b8/ePr0KaampgQFBTF48GC2bt2KtbU1aWlplC9fXu93ZsyYwYQJE/Dx8cHGxoYmTZrQunVr3n33XUqXLk1eXh47d%2B5k0aJF0hjHjRvHhg0bOH/%2BPI0bNwagc%2BfOVK5cWfp/WFgY06ZNA%2BDQoUM4OTlha2vLqVOnpL5/%2BOEHsrOzGTx4MCYmJrRq1YpFixZhbm5OVFQU%2Bfn5DBs2DABbW1v8/f1ZuXIlw4cPJy0tDWtra0qXLo2RkRGzZs0yeFzi4uJ48803Fc%2Blt7c3VatWBaBOnTo0atRIMqybN29OfHy8JGtsbMyoUaMwNTWlSZMmuLu7ExUVRfv27dm%2BfTsDBw7EwcEBAD8/P8LDw4mKiqJXr14AeHh4YG9vr3ccaWlplCpVCnNzc0xNTRk5ciQjR46U2uvWrYuxsTFXr16levXqivsFcP/%2BfZKTk3W2VXn2jKoF50wv5ua6n3I0aCDfrv0tqfhNqaI4%2BmrUkG%2BvUkX3U67bfPl2bVdKXQJgZibfXuBhlj6VMHD9F2lXkgOoU0e%2B3cZG91NOlbyTvTiqShxbW/n2glue9CmLs7N8u/YepOJexPPn8u3a35vS7w6UL8a6dXU/lVC6bmvX1v2Uw8pKvr1cOd1PObKy5NutrXU/lTAxMdymHbfS%2BLWYKkxBtS8DFV4KAiV631C65VWooPupSMFcRS/FeZ48e6ayw5Ln32gglTTC4BKoRhuGl5OTI207deoUfn5%2BAOTn5/PGG29w6NAhbt%2B%2Bja2trRR%2BB2Bvb8%2BdO3fIy8vj9u3b1H3hQWZvb8%2BZM2cAjRerZs2aUlthI69u3br06NGDzp0707x5c9zd3enZsycV9Nz90tPTGTBgAC4uLjRq1Ag7Ozusra15%2BPAhHTp0IDo6GnM9N7oaNWqwefNmrl27RnR0NKdOneKzzz4jNDSUDRs2YGxszNOnTxk5cqROeGJeXh53796VDK4ahR7qXl5efPbZZ1y5coUGDRpw6NAhvL29i/R969YtqlevjkmhB5uXlxeg8QA9fPgQR0dHqS0/P186zh9//DEjRozg%2BPHjuLu707lzZ9zc3Ir0AZCamqrKeH7jjTek/5uZmUkGpvbvrEIPdDs7O52w0ho1avDbb78B6D3ndnZ2JCYmSn/byMwuBw4ciL%2B/P61bt8bDw4P27dtLxwU0xp6VlZViko3CbNmyhSVLluhsGz1qFGPGjlX%2BspqJ2LffqhvIvHnq5NRSkvr69VMU%2BUKlqjFj1EjVUqdMlfVWDMqUUZZZsECdrgkTFEVC1GmiJHPYlCqlTq7gnZAi/v5qlEWrU7Z2rTo5Naj93amhUFh0iRCi9syrwNW15HQVupe%2BNG3blpwugG7dSk6XivvGwFrqVL0QnCJDI2URNc%2BTQi9mBX8/hMElUE2tWrUwMjIiPj5emnQ3a9aMCxcuAJp1VdrJa5aBt2pa40SpPTs7m9zcXGl74TA9IyMjZs%2Bezccff0xkZCQHDhzg66%2B/ZuvWrdi%2B8Gp2y5Yt2NjYEBQUxKVLl/Dz88PT05PDhw/TunVrvcZWYerVq0e9evX44IMPSE5Opk%2BfPqxbt44RI0YAmnC7t99%2B2%2BD3CxtNlpaWuLu7ExkZSaVKlTh//jyLFi0q8h1jY2PyDLxOMjMzo379%2Bnz33Xd62x0dHTl8%2BDDHjx8nKiqK0aNH07dvXyZPnqxXXmktmz4ZQx4zQOecgea8qT3noHu8XqRmzZrs37%2Bf2NhYDh8%2BzMyZM9mzZw%2BLFy82OFYl%2BvXrVyQdf5UHD%2BDSJcNfMjfXPByvX1d%2B4z53rnx7rVoa42jaNCgwTF%2BK4uh75x359ipVNMbWli3wghfwRaYmjpZtr1FDY2yFhcGdO/LdfjHsN3mB0qU1Cu/cUX57D8qvq42NNcZWRobya9yZM%2BXbbWw0xtZXX0GhFwn6mGgkb7zZ2GiMrYULFVXxhQqLt1QpKFjqqciXX8q3V6umMbZWr4Z79%2BRlp%2B1VuM7efFNjbA0eDFevysuq8XB9%2By0MHAhXrsjLqvFwhYZCQIDmt66EGg9XSAhMnAg3bsjLBgTIt5crpzG2zpyB9HR5WYXfLtbWGmPr//4PUlPlZUHZw9W2LRw5Ao8fK%2BtSkqlYUWNsffcdKL1Ia91avr0Y941vo2vJtleooDG2/vc/UJHTiYGNS%2Bh58hoRHq6XRxhcAtVYWVnRqlUrIiIi9HpNChsJtra2JCQkkJWVJXlf4uPjqVmzJsbGxtjZ2emEomnbtQZT1apVuXv3rtRWOBlFXl4e6enp2Nvb4%2B/vj7%2B/P4MGDeLQoUOSt01LYmIitQtCOBo1asTw4cMZNWoUaWlprFy5Uu9%2BJiUlsWLFCiZOnEi5QiEbVapUoUGDBmRkZGBpaYm1tTW//vqrjsF1%2B/ZtHc/ci3Tq1IlvvvmGSpUq4ezsrOMtKnzsEhMTdY7drl27cHBwwM7OjoSEBJ4%2BfUrZsmUBSElJoVSpUpQrV47U1FSsrKzw8vLCy8uLbt26MWzYML0Gl7W1NalqHrDF4O7du%2BTk5Eherjt37kj7qD3nWq9UTk4ON2/epH///qp0P336lFKlSvHOO%2B/wzjvv8NFHH9GuXTtSUlKoUKECeXl5PH78WK%2Bn0xBVq1aVwiUlTp1SF7rx/LmynNKkT8tvv6mXLSl9asMYk5MVrSS1tuKdOypkCyXWkSUrS52s2pmCmoUFL9yzDJKYqCgbr/LdgApVJY7aRKz37qmQPXtWnbKrV5VlMzLU6bpyBX7%2BWV5GzUwZNBNhuRcwWtSEhIHG2FIqoaLGWAGNsaUk%2B%2BCBOl2pqepklcIAQTOmQmtzDaI2GuHRI7h/X16mBO8bSjaqlpQUlbIl9TwR/K0RSTMExWL69OmcP3%2Be8ePHS9npUlNT2bZtG1999RVOTk4AeHp6YmpqytKlS8nKyiI%2BPp7169fj4%2BMDaJJPnDhxgiNHjpCTkyN5ZLTtHh4ebN26leTkZB49ekR4eLg0hv3799OnTx/JYEtMTOTevXvY2dkVGW%2BTJk3Yu3cvly9fJj8/H1dXVxISEjAyMsLCwqKIRwY0dZ2io6P59NNPiY%2BPJy8vj4yMDPbu3UtMTIzkEenfvz/Lly/n%2BvXrZGdns3btWnr37k2GzKTAy8uLa9eusWfPHrp06aJXxtPTEwsLC1asWEFmZiYnT54kMDAQExMT3N3dqVixIsHBwaSnp5OcnExAQAAhBWEq/fv35%2BuvvyYzM5Ps7GzOnTtncE1U/fr1iYuLMzjWP0JOTg7h4eFkZWVx%2BvRpTpw4IR2vHj168O2333L9%2BnWysrJYsWIFubm5Bgs%2Ba72Pv/32G%2Bnp6YwdO1ba77y8PH7%2B%2BWesra2xKlgvEB8fT25urrRGTCAQCAQCwcsjkma8PMLDJSgWderUYceOHSxdupSBAweSmpqKhYUFjRo1Ytq0aZIRUbZsWVatWsX8%2BfNxc3PD2toaHx8fKTugi4uLlJlwwoQJ1KxZk5CQEJo3bw7Ap59%2ByrRp0%2BjUqRNWVlZMmzaNqKgoQJPEIS4ujg8//JC0tDQqV65Mnz59pAQchfH29iYxMZGxY8dy//59atSoweTJk7l16xb9%2BvXD3Ny8SMr50qVL88033xAWFoa/vz%2BPHj3C2NiYhg0bsmDBAjw8PAAYOXIkaWlpDBw4kOzsbBo2bMjXX39NGZm1IJaWlri5uXHs2LEia4cK979mzRqmTJlCeHg4b7zxBvPmzZMSXCxbtow5c%2BbQqlUrypUrh5eXl%2BTBWrRoEZ9//jnLly/H1NQUR0dHyRh7ETc3NxYtWiR5iEqC%2BvXrk5OTg4eHBzk5Ofj7%2B9OmTRtAkyQjJSWFIUOGkJaWRsOGDVm/fr3BxCWVK1emY8eOBAQE0L9/f2bPns3MmTPx9PTEyMiI%2BvXrs3TpUinEMTY2llq1aqlOmCEQCAQCgUCZf6OBVNIIg0tQbGrWrMkXKhYNODk58a3M4uWePXvSs2dPvW3lypXTWZsDmtpUWsaPH894lavJhw4dytChQ4tsnzRpksHvVKtWjTlz5sjqNTMzIzAwkMDAQL3tv/76q97tK1asKLLN19cXX19f6e/69euzY8cOvd9v0KABGzZsMNi2adMm2XFrcXJyomHDhuzYsYOPP/4Y0BR8ltuHFwsLT5w4sYje0aNHM3p00TU9pqamTJ482eB6shcNX6DINVDY0/ki27ZtUx2eKBAIBAKBQPBnIUIKBYJ/MePGjWP9%2BvWkKy28/osTGRlJamoqffv2fd1DEQgEAoHgH4UIKXx5hMElEPyL8fT0pFOnTgQFBb3uofxhUlJSCAoKIiQkREokIhAIBAKBQPBXQYQUCgT/cqapLbqjwJgxYxijrtBSiVKhQgWOHTv2p/crEAgEAsG/gX%2BjR6qkEQaXQCAQFKYg06ZBtLW%2B6teHQvXh9NJIoeClNoNknTry9W1AXc0pbaZOOzvQk4FTh0LFs/WiTaRSrx5UqiQrmqdQpkh7mPLzVTy4lQp1lSunSWmfnKxcgwg4lSaftdLCQnOaLv1WVjErc7OCpD4G0ZZ5aNQIKleWFTW/IK9KWzO%2BdGnljONKx1R7yebnK1%2ByAG%2B9Jd%2BuLW1Wpw5YWiooU0pio722KlVSllUavLa2Vo0aymnfleoTaK9/VbUMUC6zoE1FnpmpXG%2BpXj35du0FYWurXGfOwkK%2BXXsCbW01NbmUkCl7ItUic3ZWl6a9INOx4tgaNpTvF0ipKv87NzGB8kBaxVqKt0alw6AdlqWlytp2cte1thp5pUpgIIHUXwFhcL08IqRQIBAIBAKBQCAQCF4RwsMlEAgEAoFAIBAI9CI8XC%2BP8HAJBAKBQCAQCAQCwStCeLgEAoFAIBAIBAKBXoSH6%2BURHq7XxNy5c3FxcWHVqlWvbQydOnXip59%2BKlGdsbGxODg4kKlmwew/gHv37uHr60vjxo25e/eurOzt27dxcHDg%2BnWFDAN/IZTO56ZNm2jXrp2sjsjISDp37kxGRsarGCLTp09n5syZr0S3QCAQCAT/dkQdrpfnb2dwDRo0iJCQkNc9jJciNTWV9evXs2DBAoYOHfpaxnD//n3u3buHk5MTCQkJHDhw4A/r2r59O48ePSrB0f3OoEGDeOutt3B0dJT%2BeXp6MnXqVB4%2BfFgifaxZs4acnJw/9N3//e9/PHz4kNjYWN54440i7QcPHuTmzZsvO8QiBAcH07t3b51tubm5NGvWjDlz5uhsv3Llymsz9JKTk5k%2BfTrBwcGUKVOGsLAwHBwciIyMLCLbrl07YmNjVemNiYnhwgVNmrepU6dy9OhRvToFAoFAIBAIXjd/O4Prn8DTp08BsNemhH4NxMbG4uLiQqlSpTh48CDff//9H9KTm5vL/PnzSVFKwfsS%2BPn5ceHCBenfxo0buX37NpMmTXpp3Y8ePSI4OJhcpTyxBkhPT6datWqYG8jbvHjx4ldicHl4eHDp0iVSU1OlbRcvXiQnJ4fo6Ggd2ZiYGGxsbKhbt26Jj0OJ1atX4%2BjoiFOhVOsVKlTgiy%2B%2BeCkv6Nq1a7l48SIA5cqVY/DgwSxevPilxysQCAQCgUAX4eF6ef7WBpc2ROvEiRP4%2BPjg7OxM//79uV2otsPu3bvp2LEjLi4u9O/fn19%2B%2BUVqi4yMpHv37jg7O9OuXTvWr18vtU2ZMoXPP/%2BcmTNn4uLigpeXF2fOnGHVqlW4ubnh5ubGzp07JfnExESGDx9OixYtaNasGZMmTSJdT42YGzdu0LFjRwB69OjBsmXLCAsLY9iwYYwbNw5XV1cAMjMzmTNnDm3atKFx48a89957OmN3cHBg3759%2BPr64uTkxNChQ0lKSsLf3x8XFxd8fX11jsOLxMbG0rx5c1avXk1ISAgHDhzA0dGR3Nxcxb4L07x5c548eUKPHj1YsmSJtP2nn37C29ubt99%2BmyFDhvDkyROpbcOGDXTu3JnGjRvj7e1dbM%2BEra0tAQEBREdHS8ZramoqEydOxN3dHRcXF0aMGMG9e/cAyMvLY/78%2Bbi7u%2BPs7Ez37t05fvw4Dx48wNPTk/z8fJo2bapzPguzefNmabydOnVi//79ACxatIhly5Zx/vx5HB0dSUxM1Ple9%2B7diYuLY%2BTIkUydOlXafuPGDXr16oWjoyP9%2BvUjKSlJatu/fz89evTA2dkZLy8vtmzZondMTZs2xdzcnB9//FHaFh0dTefOnUlMTJT2Xbvd3d1dOhZLly6lQ4cOODk50bNnT2JiYiTZdu3asXz5cry8vAgMDCzS77lz56TfzEcffSTrZczJyWHbtm307dtXZ3vr1q2pUqWKbDhtXl4eixcvpn379jRu3JhevXpJ4a/Dhw8nKiqKOXPm8OGHHwLQu3dvrl27xpkzZwzqFAgEAoFAUHyEwfXy/COSZqxfv56VK1diZmbGBx98QHh4OLNmzeLixYvMmjWL5cuX06RJE1auXMnIkSOJjIwkLi6OgIAAQkNDad26NadPn2b48OHY29vTunVrQDP5nT9/PtOnT2f06NFMmDCBPn36cPToUcLDw5k3bx4%2BPj4YGRkxcuRIXF1dWbhwIc%2BePWPChAkEBwcze/ZsnbHWrl2bAwcO4OXlxe7du6lbty5hYWGcPXuWgIAAFixYAMDChQs5deoUGzZsoHLlyixYsIBhw4YRGRlJ6YKKmJs3b2bFihU8e/aMbt26MWTIEIKDg7Gzs%2BO9995jzZo1zJgxQ%2B8xO3nyJL6%2Bvri6uhIXF0dmZiYLFy4E4Msvv1TsW8vu3bt19kUbErZ37142bdrE48eP6du3L9u3b%2Bejjz7i4MGDLFmyhPDwcBo0aMDhw4cZN24cBw8epIa2aKUKsrOzyc/Px6igoueUKVMwNTVl3759mJiYEBgYyNSpU4mIiGDfvn1ER0ezZ88erKys2LVrF5MnT%2Bbo0aOsXr2aDz74gNOnT2OmLdpYiMOHD/Pll1%2BycuVKGjduzKFDh/j000%2BpW7cu48aNw8TEhOPHj7N169Yi392zZw8ODg4sW7YMT09PyQDetm0by5cvx9TUlEGDBhEeHs5nn33GhQsXmD59OmFhYbi5ufHzzz8zZMgQ6tevLxniWkqXLk3z5s2Jjo6mU6dOgMaw6tWrFwkJCcTExODj40N2djanT5/myy%2B/BGDjxo1s27aNlStXUrt2bTZs2CD9JioVFCDdt28fERER2NnZcfLkSanP3Nxcxo4di7e3NwEBAVy5coUxY8Zgaqr/NnLhwgWePn1K8xeKxRoZGTFz5kzee%2B89fHx8sLW1LfLddevWsW/fPsLDw6lRowZbtmxhxIgRREVFsWLFCtq1a8eQIUMYMGAAAJaWljRs2JAff/yxyLGS4/79%2ByQnJ%2Btsq2JlRdWqVQ1/SVtFVvsph5IXWxuGqicctQhqwl4LF35VQlvY1RDaIpwqinHWrl1yw6JcOfl2bSFXpYKuL4gbQuucViouDPxe2NgQhYv4KlDriXx7cY6Z0qVYnEsWlGvpai8dpUsIUC7%2BrfW8q/HAKxU%2BLo4upcE3aKD7qYTSiSrO2JQuxsJVsZVQqkxdzN8Tep6Tf2hcUKJjU6obb2ys%2BylHxYry7VZWup%2BKaIsb60P7/DTwHNVBVZVlwV%2BVf4TBNWDAAKoVPAjd3d2ltR27du2iZcuWtGzZEgB/f39q165NZmYmO3bswM3Njfbt2wPg5uZGmzZt2L9/v2Rw1apVi7Zt2wLQqlUrYmNjGTJkCKVLl6Zt27aEhoby8OFD7t69S1xcHJs2baJMmTKUKVOGMWPG4O/vT1BQkGQUyGFiYsKAAQMk2e3btxMUFETNgurq48aNY8OGDZw5c0baH29vb2liWKdOHRo1asRbb70FaDxP8fHxevtKSkoiOTkZR0dHve1q%2BlbCz8%2BP8uXLU758eZydnblx44aku3fv3rz99tsAvPvuuzRp0oS9e/eqXs928%2BZNQkND8fLywsLCgocPH3LkyBH279%2BPVcEdcOLEibRp04bk5GTS0tIwNTWlTJkymJiY0KtXL3r27Imxijvv9u3b6dq1K02bNgWgS5cuRERE8P333%2BPgIF/Z3hADBw6Uzpubm5t0bHbu3EmbNm0kb1TTpk3p3Lkzu3fv1mtEeHh4sGbNGgAyMjI4e/YsISEhJCYmEh0djY%2BPD2fPniU7O1s6b9u3b2fgwIHS2P38/AgPDycqKopevXpJevWFu168eJH79%2B8zYsQIzMzMaNy4MR06dODIkSN69/PatWtUq1YNa2vrIm1vvfUWPj4%2BzJs3j%2BXLlxdp3759O4MHD6ZWrVqAZi3funXriIqKokuXLnr7e/PNN4mLi9PbZogtW7boeGYBRo8axZixY5W/LPcQ1fLCejqDjBqlTk4tasavlnfeURSZ30mdKnXDaqZOmdJEXiumTpuqeTCN/NQp69FDUWSeOk2MHq1SUAVqLlmA/v3VyRUEaygo%2B06dskWL1MmpITS05HR9%2B23J6YKSHZuNjbKM0tsQLQXP5BJB7cvTgvu7IirGpvxaSIPS%2BxyAbt3U6fL0VNkp1ZVFKldWlklIUNthifNv9EiVNP8Ig0trGACUKVNGWhuSkJCAnZ2dTpu3tzegCUd8cU2Lvb29TkhS9eq//0jMzMyoWLGi5OHRfrcummwAACAASURBVGZmZpKQkEBubi4tWrTQ0Zebm0tKSgoVlV6XFPSlNbYeP37MkydPqFOnjtRetmxZKlWqpBO2VjhJg5mZmWR0av/OysrS25fWC1BKz9NXbd9KFD4n5ubm0lhu3brFiRMnWLdundSen59PvXr1DOqKiIiQ5LVerX79%2BjF%2B/HhAc54BfHx8dL5nYmLC3bt38fb2Zvfu3Xh6etKqVSvatGmDt7e3KoPr9u3bRYxMe3v7Yh2LF5E7NjExMTqGcH5%2BvmSAvYiHhwezZ8/m5s2b3Lp1CxsbG6pVq4abmxubN28GNF4vFxcXyhU8ZfRd93Z2djr7Y2PgIZ6UlET58uWxLPRWspbMAzMlJUUygPUxbtw4OnbsyNGjR6WXHFpu3brF3LlzmTfv92lpXl6ebCZIa2trLl%2B%2BbLBdH/369SuSZbGKlRUY%2BO0AGjdBqVKat41Kb9yDguTb33hDY2wtXQoKWS5Ve7jGjoXFi%2BHOHXnZNm3k28uX1xhb0dGQliYrOiVK3uIqzrDm9zolL2BhoTG2Ll2CZ8/kZYFLFvIGnLm5xti6fh2eP5fX1Sg2Ql6gUiWNsbV7Nygk9Zl2Td54q1FDY2wtWaJ8zGbNkm8vziULYCC6WqJCBY2x9f33oLR8t/9Ghdlr3boaY2vcOM1JkEONhys0FAIClHUpHdQGDTTG1sCBcOWKvCyo83CpHVtYmHx76dIaYysxUf5eBfCCB78IFhYag%2BbiRVW/J%2BS8/6VLa47DnTvK4wK4f7/ExpbWoLlsu7GxxthKT1c2Ho4elW%2B3stIYW8eOwePH8rIA3ZolGW40NdUYWw8eqLvHC1SRmprKrFmzOHnyJMbGxrRu3ZoZM2YYXG%2Bvjb5KSEigatWq%2BPv7S8shwsLCWLZsWZFoniNHjlBZjaFcwD/C4DLkQTIyMiLfwA3akDFSWNeLE3JDE3QzMzMsLCz4%2Beef1QxXL4VPpKGxvTi%2BF/dbjQEBv6/f0ofavpUwJGtubs4nn3yCn5/KN8VovDATJ04EIC4ujp49e9KpUyfKli0r6QQ4duwYFQyEiWzdupUzZ85w5MgRFi9ezKZNm9i4caNi32quk5LC3NycAQMGGAwDfRF7e3vs7OyIjo7m9u3buLm5AeDk5ER6ejrXr18nJiZGx6BQsz8mBmIzsrKyiiQXyVN4cskdJysrKyZMmMDcuXOlsWsxNzdnzpw50npHNcj93g1RtWrVouGDmZnqZqX5%2BcpyahOm3L2rLKtmAqPlzh0o8JwapHFjdbrS0hRn1UpdFWdY6Fn7qpdnz1TJqphCAhpjS3G%2BWWhtpCwPHyrK/vabOlV37ijLqr3s1VyyoDxH15KSokL20iV1yq5fV5ZVu6NqdKk9AVeugJpnu9rEUWrGpmT5a8nKUpZ9ohC7quXZM3WyauLosrI091ElSnBsavNe5eUpy6pNuvz4sUpZNaGAOTl/6ZDBv5uHa8aMGWRlZbF3716ys7MJCAggJCSEzz77rIjs%2BfPnmThxIl999RVt2rThxIkTjBo1ijp16kjRTT169GD%2B/PkvNaa/ddIMJWxtbaVwLdBMGFevXk1KSgp2dnZFQu7i4%2BP1ridRws7OjmfPnkmeFtBkr/ujmfsqVapE2bJldcb3%2BPFjHj58qOOx%2B6OcPHmyiDfuz%2Brbzs6OX3/9VWfbnTt3VE%2BU69evz0cffcT06dMlT6aNjQ3GxsY6erOzs6XEEZmZmWRkZODq6sonn3zC3r17uXr1KldUvLUsyetETV8vHpukpCTZDIoeHh6cOnWKU6dOSUaLqakpTZs25fjx41y8eBEPDw%2BdPgrvT05ODjdv3lS1P1WrViU9PV0nAYpcqvkKFSroZFHUR%2B/evbG0tGT16tU6221tbYscC7kkMIBqb7JAIBAIBAL1/J2SZjx48IDIyEjGjx9PxYoVqVatGiNHjmTHjh1k6zFqU1NTGTZsGO3bt8fU1JTWrVvz5ptvcvr06RId1z/a4PL19SU2NpYjR46QnZ3N2rVrWb9%2BPeXKlaN79%2B6cOHGCI0eOkJOTw/Hjx4mKiioSlqaGN998ExcXF%2BbOncujR49IS0sjMDDwD6ctNzY2pmvXrqxatYqkpCSePXtGSEgItra2uLi4/CGdWhITE3n06JG0hgo0Hrq7d%2B%2BSlpZGXl5esfrWepd%2B%2B%2B03vVkZX6Rfv37s37%2BfqKgocnJy%2BPHHH%2BnatSvnzp1TvQ%2BjRo0iJydHWntjaWlJly5dCAkJISkpiefPn/PVV1/h5%2BdHfn4%2Bc%2BfOZfLkyTx69Ij8/HwuXbpEXl4eNWrUkMZ/48YNnul5vd2jRw%2B%2B%2B%2B47aS3Uzp07iYuLk0JTlTAzM%2BPmzZuqjk3v3r05c%2BYMO3bsICsri19%2B%2BYU%2BffrIpuz38PDg9OnT/PrrrzpGdMuWLdm4cSPW1tY0KLTou0ePHnz77bdcv36drKwsVqxYQW5urmLxYoDGjRtjZWVFeHg4WVlZnD592uD6LYB69epx//59HsvEXBgbGxMYGMiqVatIKxS21r9/fzZu3MjZs2fJzc1l//79dO3alTsFYUBmZmbcunVLx/iLi4vjzTffVNwPgUAgEAgEr5f79%2B9z6dIlnX/3lcJMVfDLL79gYmKis86%2BUaNGPHv2TG9uA09PT0YVWkedk5NDcnKyzjKdX3/9lf79%2B%2BPq6oq3tzc//PBDscf1jza4GjZsSEhICLNnz6ZZs2YcPnyY5cuXU6pUKclAWrBgAc2aNeM///kPISEhBkPtlFiwYAH5%2Bfl4eXnRoUMHqT7VH2XKlCk0bNiQPn360LZtW5KTk1mzZo3BcC%2B1xMbG4urqqhPC2K1bN27cuEHbtm25f/9%2BsfquXLkyHTt2JCAggEUqFj23atWKyZMnExQUhKurK0FBQcyaNQtnZ2fV%2B2Bubk5gYCARERHSmp0ZM2Zgb2%2BPt7c3Hh4eXLt2jWXLlmFkZMQnn3yCsbExHTt2xNXVVTrvFStWpGHDhri4uNC7d282bdpUpC9vb2%2BGDRvGpEmTaNGiBd9%2B%2By0RERGya5cK079/f/7zn//w6aefKsrWrVuXBQsWEB4eTtOmTaXEK4aSRAC0aNGClJQU6tatq7Neys3NjVu3buHu7q4T1ufn50enTp0YMmQI77zzDrGxsaxfv57yKjLRmZubs3TpUv7v//6PZs2asWTJEtnQUEdHRywsLHQyHerDycmJLl266BhPvXv3ZuDAgYwePZomTZoQHh7OkiVLpEyWffv25dtvv%2BX9998HNB7ly5cvq07qIhAIBAKBQB2vwsO1ZcsWfH19df4ZKoVTHFJTUylXrpzO3Ec7P1ITeRYSEoKFhYU096pevTq2trYEBwdz4sQJ%2BvTpw/Dhww0mpjOEUX5xFz0IBAKBSubPn098fLxsza2SYO3atezcuZM9e/a8vDKltQdGRprF4VlZymtKPv5Yvt3eXpPJ8LPPSmYNV%2B3aMH8%2BTJmivFhKyZtfoQJ06gQHDiiuT%2Bm3a0CJDWvLcMNeU0Cz8r1ZMzh1StUarlPl2sq2FycHR7PIL%2BQFqlUDPz%2BIiFBcwzXwwlTZ9lq1YN48mDZNeblRQbJSgxTnkgVQ%2BrlWqaLJZLh5s/IarjEL68gLNGoE332nSQ33smu4GjWCvXuha9eXX8Pl4gJnzoCrq7o1XEov4YoztoJajwYxN9f8qG7cUF7DpZQcxNISmjeHkyfVrakqlPSpCGZmmuPw22/q1nAphIkXZ2wprl6y7SYmmjxAaWnKa7iUHiMVK2ou1%2B%2B%2BU7eG68N2MtkFS5WC6tUhKUndGq5XsJxBDTLBLH%2BYRo30lGWpUkW%2BLEsBu3fvNhhFNn78eNasWSOVKQKN16pRo0asW7fO4IvZ/Px8QkJC2L17N%2BvXr9dJHvciffr0oVWrVowbN05xrFr%2BEUkzBALBXxN/f3%2B6du3KhQsXDJYheFmePn3K2rVr9S6GFQgEAoFA8HK8ijVXepNWqaRHjx70MFB%2B48SJE6Snp5ObmytFZmnXk1cyUCMxLy%2BPqVOncv78eTZt2qS4rt3GxqbY4Y//6JBCgUDweqlSpQpz585l0qRJPFebeauYfPHFF3h6eko19QQCgUAgEJQcf6ekGQ0bNiQ/P18nMdqFCxcoX748tQ3UpZs3b55UT/dFY2vZsmXExMTobLt%2B/Xqxk6cJD5dAIHiltG/f/pUaQ3PUFhdWi1L2yjJl4M03NWEzGRnysnqKPuugrWlmaaksqwZtWYQKFeDpU3lZpRBFbXhLdrairJ663Dpo1x43aPD7EA2iZJgX1EBUlRIbeFNhbNpqGnZ2KiYBexX60x4nFWNTKrSsLbNYs6YmHEoOszSFuD5TUyhdgdJPU1TV%2BrGwqCLbri1lY26uCcmUH5yZfLv2fJYurSyrhPb7Zma/D9IQSiGA2rpaNWqoS/muFKKovfDV5Pn/z3/k2%2B3tNcXX1q1TDkU2UMdRQvvG/84dxdpxgHzcrZWV5rjeuqWuQNWDB%2BrGlpSkOLYKbynUMTQ1BapQPjNZ8TdQq9Ybsu3a4sk1amjCFBWRO0dly2pCCu/eVb5nw2sLKfw7UbFiRTp27MiiRYsIDg4mKyuLpUuX0rt3byl/wYcffki/fv3o0qULP/30E3v27GH//v1Y63kOp6am8vnnn7Ns2TJsbGzYuHEjt27domfPnsUalzC4BAKBQCAQCAQCgV7%2BbnW4goKCCAwMxMvLi1KlStG1a1fGjx8vtSckJEgZlHfs2MGTJ09o21Z3vW%2BzZs2IiIjgk08%2BAWDw4MGkpqZSr1491q5dS/Xq1Ys1JmFwCQQCgUAgEAgEgn8ElpaWfPXVVwbbDx8%2BLP1/3rx5zJs3z6CsmZkZ06ZNY9q0aS81JmFwCQQCgUAgEAgEAr383Txcf0WEwSUQCAQCgUAgEAj0Igyul0dkKdTD3LlzcXFxeeW1g%2BTo1KkTP/30U4nqjI2NxcHBgUw19TH%2BAdy7dw9fX18aN27M3bvyC2pv376Ng4MD169f/5NG9/Ionc9NmzbRrl07WR2RkZF07tyZDKXkD38Cp06dwtHRkSw19aYK8ejRIzw9PTl9%2BvQrGplAIBAIBALBH6dEDa5BgwYREhJSkir/dFJTU1m/fj0LFixg6NChr2UM9%2B/f5969ezg5OZGQkMCBAwf%2BsK7t27fzSE1lvj/AoEGDeOutt3B0dJT%2BeXp6MnXqVB6qyXakgjVr1pCjIquWPv73v//x8OFDYmNjeeONolmHDh48yE2lDE9/gODgYHr37q2zLTc3l2bNmhXJqHflypXXZuglJyczffp0goODKVOmDGFhYTRo0EDnfLZo0QJ/f38uX778ysfTrFkzLly4QGlt1jIFtNdGxYoVmTFjBhMnTuSpmixPAoFAIBAIVPN3Sgv/V0V4uF5AO2Gzt7d/bWOIjY3FxcWFUqVKcfDgQb7//vs/pCc3N5f58%2BeToial7R/Ez8%2BPCxcuSP82btzI7du3DVYALw6PHj0iODiYXKWy8AZIT0%2BnWrVqmBtID7x48eJXYnB5eHhw6dIlqdAewMWLF8nJySE6OlpHNiYmBhsbG%2Boq5Yh%2BBaxevRpHR0ecnJykbU5OTjrn89ChQ9SuXZuPP/6YtLS0P32Mhnjx2ujQoQPly5dn69atr3lkAoFAIBAIBLq8MoNLG6J14sQJfHx8cHZ2pn///ty%2BfVuS2b17Nx07dsTFxYX%2B/fvzyy%2B/SG2RkZF0794dZ2dn2rVrx/r166W2KVOm8PnnnzNz5kxcXFzw8vLizJkzrFq1Cjc3N9zc3Ni5c6ckn5iYyPDhw2nRogXNmjVj0qRJpKenFxnzjRs36NixI6CpYr1s2TLCwsIYNmwY48aNw7Wg2ExmZiZz5syhTZs2NG7cmPfee09n7A4ODuzbtw9fX1%2BcnJwYOnQoSUlJ%2BPv74%2BLigq%2Bvr85xeJHY2FiaN2/O6tWrCQkJ4cCBAzg6OpKbm6vYd2GaN2/OkydP6NGjB0uWLJG2//TTT3h7e/P2228zZMgQnjx5IrVt2LCBzp0707hxY7y9vYmMjDQ4Tn3Y2toSEBBAdHS0ZLympqYyceJE3N3dcXFxYcSIEdy7dw/QVPeeP38%2B7u7uODs70717d44fP86DBw/w9PQkPz%2Bfpk2b6pzPwmzevFkab6dOndi/fz8AixYtYtmyZZw/fx5HR0cSExN1vte9e3fi4uIYOXIkU6dOlbbfuHGDXr164ejoSL9%2B/UhKSpLa9u/fT48ePXB2dsbLy4stW7boHVPTpk0xNzfnxx9/lLZFR0fTuXNnEhMTpX3XbncvqJOSl5fH0qVL6dChA05OTvTs2VOn2F67du1Yvnw5Xl5eBAYGFun33Llz0m/mo48%2BkvUy5uTksG3bNvr27WtQBqB8%2BfJMmTKFJ0%2Be8PPPP0vjXLx4Me3bt6dx48b06tVLJ/z10aNHjB07liZNmuDu7s5XX31Ffn4%2BIH8tFA6R1N4/vv/%2Be7y9vXFycuL9998nOTnZ4LXRr18/Nm/eLLs/AoFAIBAIiofwcL08rzxpxvr161m5ciVmZmZ88MEHhIeHM2vWLC5evMisWbNYvnw5TZo0YeXKlYwcOZLIyEji4uIICAggNDSU1q1bc/r0aYYPH469vT2tW7cGNJPf%2BfPnM336dEaPHs2ECRPo06cPR48eJTw8nHnz5uHj44ORkREjR47E1dWVhQsX8uzZMyZMmEBwcDCzZ8/WGWvt2rU5cOAAXl5e7N69m7p16xIWFsbZs2cJCAhgwYIFACxcuJBTp06xYcMGKleuzIIFCxg2bBiRkZFSONTmzZtZsWIFz549o1u3bgwZMoTg4GDs7Ox47733WLNmDTNmzNB7zE6ePImvry%2Burq7ExcWRmZnJwoULAfjyyy8V%2B9aye/dunX2JjY0FYO/evWzatInHjx/Tt29ftm/fzkcffcTBgwdZsmQJ4eHhNGjQgMOHDzNu3DgOHjxIDW0RSBVkZ2eTn5%2BPkZERoDGQTU1N2bdvHyYmJgQGBjJ16lQiIiLYt28f0dHR7NmzBysrK3bt2sXkyZM5evQoq1ev5oMPPuD06dOY6SmIefjwYb788ktWrlxJ48aNOXToEJ9%2B%2Bil169Zl3LhxmJiYcPz4cb1ejz179uDg4MCyZcvw9PSUDOBt27axfPlyTE1NGTRoEOHh4Xz22WdcuHCB6dOnExYWhpubGz///DNDhgyhfv36kiGupXTp0jRv3pzo6Gg6deoEaAyrXr16kZCQQExMDD4%2BPmRnZ3P69Gm%2B/PJLADZu3Mi2bdtYuXIltWvXZsOGDdJvolJBAch9%2B/YRERGBnZ0dJ0%2BelPrMzc1l7NixeHt7ExAQwJUrVxgzZoxU5O9FLly4wNOnT2nevLni%2BczLy5MMJoB169axb98%2BwsPDqVGjBlu2bGHEiBFERUVhYWHBZ599hqmpKUePHiU1NZX333%2BfmjVr0rdvX9lrQR8bNmwgIiICc3NzRo8ezaxZs1i6dKnea6N58%2BYEBQWRlJSkuj7G/fv3SU7WLRpbJT2dqlVkCr8WLq6qRM2a8u3aisDaz5elOPoqVpRvt7LS/ZTrNl%2B%2BXduVUpeAciXRsmV1PxUwVnitqG1XkgN%2Br0ZsiMqVdT/lVClMOIqhqqCoqwzayslKFZQL0NabNUQxLg146y359tq1dT9fhuLoUlrLrI06UBt9oFTRu0ED3U85lCJstNeh0vUIJXwyFeS0FYG1n0rkK9w4ijM2pd%2BAtl1JDuXhlymj%2B6mIscy9qjjKXmPI/L/RQCppXrnBNWDAAKoVPPzd3d25cOECALt27aJly5a0bNkSAH9/f2rXrk1mZiY7duzAzc2N9u3bA%2BDm5kabNm3Yv3%2B/ZHDVqlVLKlLWqlUrYmNjGTJkCKVLl6Zt27aEhoby8OFD7t69S1xcHJs2baJMmTKUKVOGMWPG4O/vT1BQkGQUyGFiYsKAAQMk2e3btxMUFETNgsnUuHHj2LBhA2fOnJH2x9vbm6pVqwJQp04dGjVqxFsFD57mzZsTHx%2Bvt6%2BkpCSSk5NxdHTU266mbyX8/PwoX7485cuXx9nZmRs3bki6e/fuzdtvvw3Au%2B%2B%2BS5MmTdi7d6/q9Ww3b94kNDQULy8vLCwsePjwIUeOHGH//v1YFdw0J06cSJs2bUhOTiYtLQ1TU1PKlCmDiYkJvXr1omfPnhirmP1s376drl270rRpUwC6dOlCREQE33//PQ4ODqrG%2ByIDBw6Uzpubm5t0bHbu3EmbNm0kb1TTpk3p3Lkzu3fvLmJwgSascM2aNQBkZGRw9uxZQkJCSExMJDo6Gh8fH86ePUt2drZ03rZv387AgQOlsfv5%2BREeHk5UVBS9evWS9OoLd7148SL3799nxIgRmJmZ0bhxYzp06MCRI0f07ue1a9eoVq2a3qrqhUlJSWHhwoVYW1vTokULaZyDBw%2BmVq1agGYt37p164iKisLNzY0jR46wY8cOypUrR7ly5Vi4cCGmpqaK14Kh86G9fwwePJhx48aRZ%2BDOX7duXYyNjbl69apqg2vLli063l%2BA0aNGMWbsWOUvqwk7njxZ1TgYPFidnFpKUp%2Bnp3J3KlV1765GqpU6Zc7OqsQs1WlTZ78NH65O2QtrOPUxUp0mFJzQBShM9rUoGbMF%2BPioU/dCnVADynaoU1aS679LUldoaMnpAvj225LTNWxYyelSdTJVoueZ%2BFIUzPtKBCXDGGgi876tMErvEn7HRVlEjSH%2Bww9qOxT8BXnlBlfNQm94y5QpI2VUS0hIwM7OTqfN29sb0IQjvrimxd7enjNnzkh/F55QmZmZUbFiRcnDo/3MzMwkISGB3NxcabKoJTc3l5SUFCqqeOVavXp1ydh6/PgxT548oU6dOlJ72bJlqVSpkk7YWuEkDWZmZtKkUfu3oUxsP/74I66urpQqVapIm9q%2BlSh8TszNzaWx3Lp1ixMnTrBu3TqpPT8/n3r16hnUFRERIclrvVr9%2BvWTKnonJCQA4PPCE9zExIS7d%2B/i7e3N7t278fT0pFWrVrRp0wZvb29VBtft27eLGJn29vbFOhYvIndsYmJidAzh/Px8yQB7EQ8PD2bPns3Nmze5desWNjY2VKtWDTc3NynsLTo6GhcXF8oVvE7Td93b2dnp7I%2BNjY3e/pKSkihfvjyWlr9PL7UGkT5SUlIko6cw2hBMLVlZWXh5efHNN99Ia%2BFu3brF3LlzdQoF5uXlcffuXW7fvk1eXp7OcXRx0Txszp49Cxi%2BFvRRu9CbahsbG7KysnTWxhXG2NgYKyurYiWJ6devX5FMjlVSU%2BHqVcNfMjPTGFs3byq/Jf/vf%2BXbq1XTGEdr10KhUNM/THH0Kc0WrKw0xtaxY/D4sazo2ofdZNsrVtQYW3v2gNLpGVz/hLxA2bIaY%2BvsWVVvfJ84yRtwxsYalU%2BfKr/Ftdy4Ql6gcmWNsbV9Ozx4ICu6LE/eeKtcWWNsbd2qqIqRAxTW6ZqYaIyttDRQsSZ211H5SamVlWZ%2BfuSI4qWBzze95AVq19YYSBMnQsELrj9McXSp8XCFhkJAAKhJanTnjnx7gwYaY2vgQLhyRV5W6c3EG29ojK2VK0EhA6/ii4ninEyQd1OXK6cxts6cAT3LNopg4F6uM7bWreHoUeWxubnJt5uaaoytlBRQSMT10y15i6tMGc3t8/JlUJPgt4nxz/LKGjTQXBN/gWzBhhAerpfnlRtchjxIRkZGOmFKhTFkjBTW9eKE3NAE3czMDAsLC2n9yR%2BhcFiWXMrqwuN7cb/VGBDw%2B/otfajtWwlDsubm5nzyySf4%2Bfmp1uXn58fEiRMBiIuLo2fPnnTq1ImyBa%2BLtZP0Y8eOUcHAm6WtW7dy5swZjhw5wuLFi9m0aRMbN25U7FvNdVJSmJubM2DAAINhoC9ib2%2BPnZ0d0dHR3L59G7eCh4GTkxPp6elcv36dmJgYncm%2Bmv0xMRASlJWVVSS5iCFPkD69WpycnKQQzOfPn9O1a1fefvttHcPH3NycOXPmSOsdC3Pp0iWDfStdC9qQV0P7YOh%2BUZjinvuqVatKHk2Jc%2BfUPfgyM5XlZNZq6nDvnnrZktKn0gvI48eKVpJaW/HRIxWy1VQmZ3n6VGNAKKB2oqBqXYHS5FbLgweKsndVjkuFKsUJpERuripZtUlmHz9WIas2w%2BmNG%2BplS0LX8%2BfqdF2/DgX3NVl%2B%2B02dvitXQGk%2B0rixOl1372pe/Mhha6tOl6qTibqw1PR0dcZbSV5oan8DOTmKsmpsRdDc/lXJmqgIBczIeK0hg4JXz2vLUmhrayuFa4Fmwrh69WpSUlKws7MrEnIXHx%2BPrdobRyHs7Ox49uyZ5GkBTfa6P5q5r1KlSpQtW1ZnfI8fP%2Bbhw4c6Hrs/ysmTJ4t44/6svu3s7Pj11191tt25c0fVRBegfv36fPTRR0yfPl3yZNrY2GBsbKyjNzs7W0qUkJmZSUZGBq6urnzyySfs3buXq1evckXpDWDBeEvqOlHT14vHJikpSTaDooeHB6dOneLUqVOSwWVqakrTpk05fvw4Fy9exMPDQ6ePwvuTk5PDzZs3Ve1P1apVSU9P10mAIpdqvkKFCgY9RVrMzc0JDAxk%2BfLlOrpsbW2LHAvtGjjt%2BS782/7xxx85fPiw4rWgj1u3bkn/T0xMxNzc3KDhnpeXx%2BPHjw22CwQCgUAgKD4iacbL89oMLl9fX2JjYzly5AjZ2dmsXbuW9evXU65cObp3786JEyc4cuQIOTk5HD9%2BnKioqCKhSGp48803cXFxYe7cuTx69Ii0tDQCAwP/cNpyY2NjunbtyqpVq0hKSuLZs2eEhIT8P3vnHp9j/T7w98bsYIyxyWkOw6xsbMzIYbbRMKdQY1KaHBI5JIcovkOhKRVSjfANOf5SqIREDouEUc4ypzFmcxi2Pdvvj2fP0x6e3Z979qC%2BXe/Xa6%2Bb%2B7ru6/7cp89zX/fn%2BlwXVatWNYdO3S/nzp0jNTXVPIcKjCN0Fy5c4Nq1a%2BTk5BRq9MZ/ZAAAIABJREFU36YRhT///NNqVsa7iYqKYv369WzZsoXs7Gx27dpFhw4d2L9/v%2B5jeOWVV8jOzjbPiylVqhTt27cnLi6O5ORkbt%2B%2BzXvvvUdMTAy5ublMmTKF0aNHk5qaSm5uLocOHSInJ4dKlSqZ23/q1CkyMjLu2Vfnzp355ptvzHOhVq9ezbFjx8yhqSocHR05ffq0rnPTvXt39u7dy6pVq8jMzOSPP/7gmWee0UzZ36JFC/bs2cORI0csnOgmTZqwePFiypQpQ918cdudO3dmyZIlnDhxgszMTObOnYvBYFAWLwaoX78%2Bbm5uxMfHk5mZyZ49ewqcvwVQq1YtLl26RLriK2SLFi1o06YN48ePN4829ejRg8WLF7Nv3z4MBgPr16%2BnQ4cOnD9/njJlyhAeHs7s2bNJS0vj/PnzvPnmm1y8eFF5L1hj6dKlXL58mbS0NBYuXEhISAh2dnZW742TJ09iMBjue/6eIAiCIAj3Ig5X0XlkDpevry9xcXFMmjSJoKAgNm/ezMcff4yDg4PZQZoxYwZBQUFMnz6duLg4XRnVrDFjxgxyc3MJDw%2BnTZs25vpU98uYMWPw9fXlmWeeITQ0lJSUFD7//PMCw730kpCQQGBgoEUIY8eOHTl16hShoaFcunSpUPsuX748ERERDB06lJkzZyr336xZM0aPHk1sbCyBgYHExsYyceJEGuicnA5/jYrMnz/fXCz3zTffpFq1akRGRtKiRQuOHz/OnDlzsLOz47XXXsPe3p6IiAgCAwPN193d3R1fX18CAgLo3r07S5cuvWdfkZGRDBgwgFGjRhEcHMySJUuYP3%2B%2B5tyl/PTo0YPp06fz%2BuuvK3W9vb2ZMWMG8fHxNGrUyJx4pX379gVuExwczNWrV/H29raYL9W0aVOSkpJo3ry5RQhcTEwMbdu2pV%2B/fjz55JMkJCSwaNEiSuuY6O7k5MTs2bPZtGkTQUFBzJo1SzM01M/PDxcXF4tMhwUxduxYjh8/bg7z7N69O9HR0QwePJiGDRsSHx/PrFmzzJks33nnHVxcXAgNDSUqKoq2bdsSFRUFaN8L1ujUqRMvvPCCeSTQlA7f2r2RkJBA9erVdSfMEARBEARBeBjY5eqNFxME4X%2BKqVOncvLkST799NNH3ZR7OHv2LOHh4axfv153UeguXbrQuXNnXnzxxaLtXDWi6%2BwMdeoYE2uo5nDFx2vLq1QxZjKcNs02c7gKYy8vu2eBuLtDx47wzTfKOVzTkl/QlBcml8do/2%2B1FUqXhmbNYPt2XXO40p9spym3t4dSpeD6dfVXV7f37q1/Z0HFisZMhnPnKidevZnzH6WpQYNgzhz1HK5Jr1rP8mmmEAkDAOZ9rZ00oFw5YybDr75ST63pG%2BerrfD447BqFXTrVvQ5XIWxpZrD9cQTsHYtdOhgmzlcAQHGZBKBgeo5XKoso9WqwcSJxj/VHK4CEjuZKczFBLh7zmt%2BCpFoB1BngylX7q9sO6q25ZVgKZDixcHDA1JSlM/AT0e10%2B27ukLDhvDrr/rmcIUU08guWLKk8d747Td9c7hU1/MBYeWbd5Hp2dP2Nv/OPLIRLkEQHi19%2B/Zl//795lIN/2Q2btxIWlqaspCzIAiCIAjCw0YcLkH4l%2BLh4cGUKVMYNWoUt/Vm7PobcvXqVWJjY4mLizNnxxQEQRAEwTbIHK6i88DTwguC8PeldevW5gLjfyeqVKlyTybEgihbtixbt2613c61anABlCljDCk8fVpdR0ZVQNnR0bjs2VNdF8jFRVsOYKrf9%2BKLkJWlrasK53F2Ni59fJShk6PLKMKaSpQAKtIn4gJolLcAIKO6tjwvYQqVKmnXBMrD7fed2golS4K/P6VOHVCH9LRqpS3Pq6lHw4bKWKNYhSkTL7%2BsQ2nPn9pyFxdjSOH582AlAdHdtG%2BvHVJommbcrJmOCEX3t7Xlpvmtr7yiDkMrrnhlMdkaOlRtS6O%2BJPDXffbRR/pSyE%2Bfri03FUrv1Emd9n3BAm15QIAxnPDrr9XhieHh2vK8uqWUKPFXf6SFVp9nKn9z/bq6b4S/npeCMPVBzs5q3V9/1ZaXLm0MKfzjD2UocogqAZqDA%2BBJw6qX1P0swO8a/afpntZTZuQR8m90kGyNjHAJgiAIgiAIgiA8IGSESxAEQRAEQRAEq8gIV9GRES5BEARBEARBEIQHhIxwCYIgCIIgCIJgFRnhKjr/yhGuKVOmEBAQ8EjrD7Vt25ZfVZM8C0lCQgI%2BPj7cUU2%2B/x/h4sWLdO3alfr163NBUajm7Nmz%2BPj4cOLEiYfUuqKjup5Lly4lLCxM08bGjRtp164dt/7Gk3GLyu7duwkJCSFVUStKEARBEITCI1kKi06hHK7evXsTFxf3oNryUEhLS2PRokXMmDGD/v37P5I2XLp0iYsXL%2BLv78%2BZM2f47rvv7tvWypUrH9iLZu/evXn88cfx8/Mz/7Vs2ZKxY8dyRU%2BBRB18/vnnZOsoxGmNb7/9litXrpCQkEDFivcWKtywYQOnVUUh74Np06bRvXt3i3UGg4GgoCAmT55ssf7w4cOPzNFLSUlh3LhxTJs2DWdnZz766CPq1q1rvpb%2B/v5EREQwd%2B5cDAbDQ29fUUhLS2PFihUABAUF0aZNG958881H3CpBEARBEIR7%2BdeNcN3MS/tbzZSi9RGQkJBAQEAADg4ObNiwge%2B///6%2B7BgMBqZOncrVq1dt3MK/iImJITEx0fy3ePFizp49y6hRo4psOzU1lWnTpt33y/6NGzeoUKECTqb0vXfx4YcfPhCHq0WLFhw6dIi0fGlvDx48SHZ2Njt27LDQ3blzJ5UrV8bb29vm7VAxb948s2Nlwt/f33wt9%2B3bx7vvvsuSJUuYN2/eQ29fUdi1a5fZ4QLo378/W7du5dChQ4%2BwVYIgCILwv4eMcBWd%2B3a4TCFa27dvp0uXLjRo0IAePXpw9uxZs86aNWuIiIggICCAHj168Mcff5hlGzdupFOnTjRo0ICwsDAWLVpklo0ZM4b//Oc/vPXWWwQEBBAeHs7evXv59NNPadq0KU2bNmX16tVm/XPnzjFw4ECCg4MJCgpi1KhR3LBSA%2BXUqVNEREQA0LlzZ%2BbMmcNHH33EgAEDGDZsGIGBgQDcuXOHyZMn06pVK%2BrXr0%2BvXr0s2u7j48O6devo2rUr/v7%2B9O/fn%2BTkZPr27UtAQABdu3a1OA93k5CQQOPGjZk3bx5xcXF89913%2BPn5YTAYlPvOT%2BPGjbl%2B/TqdO3dm1qxZ5vW//vorkZGR1KtXj379%2BnH9%2BnWz7IsvvqBdu3bUr1%2BfyMhINm7cWGA7rVG1alWGDh3Kjh07zM5rWloaI0eOpHnz5gQEBPDyyy9z8eJFAHJycpg6dSrNmzenQYMGdOrUiW3btnH58mVatmxJbm4ujRo1srie%2Bfnyyy/N7W3bti3r168HYObMmcyZM4cDBw7g5%2BfHuXPnLLbr1KkTx44dY9CgQYwdO9a8/tSpU3Tr1g0/Pz%2BioqJITk42y9avX0/nzp1p0KAB4eHhLFu2zGqbGjVqhJOTE7t27TKv27FjB%2B3atePcuXPmYzetb968uflczJ49mzZt2uDv78/TTz/Nzp1/1QgKCwvj448/Jjw8nAkTJtyz3/3795ufmRdffFFzlDE7O5sVK1bw7LPPFqhjb2%2BPv78/PXv2ZMOGDeb1CxYsoHXr1gQEBNCuXTuz7KuvvuLJJ5%2B0cJDPnz9P3bp1OXXqlE2f24SEBBo2bMjWrVtp27YtDRo0oG/fvqSnp/Ptt98yYsQI87U/c%2BYMnp6ehIaG8uWXXxZ4vIIgCIIgCI%2BCIifNWLRoEZ988gmOjo48//zzxMfHM3HiRA4ePMjEiRP5%2BOOPadiwIZ988gmDBg1i48aNHDt2jKFDh/LBBx8QEhLCnj17GDhwINWqVSMkJAQwvvxOnTqVcePGMXjwYEaMGMEzzzzDTz/9RHx8PG%2B//TZdunTBzs6OQYMGERgYyPvvv09GRgYjRoxg2rRpTJo0yaKtNWrU4LvvviM8PJw1a9bg7e3NRx99xL59%2Bxg6dCgzZswA4P3332f37t188cUXlC9fnhkzZjBgwAA2btxIibwigV9%2B%2BSVz584lIyODjh070q9fP6ZNm4aXlxe9evXi888/LzDE6ZdffqFr164EBgZy7Ngx7ty5w/vvvw/Au%2B%2B%2Bq9y3iTVr1lgcS0JCAgBr165l6dKlpKen8%2Byzz7Jy5UpefPFFNmzYwKxZs4iPj6du3bps3ryZYcOGsWHDBipVqqT7mmdlZZGbm4udnR1gdJCLFy/OunXrKFasGBMmTGDs2LHMnz%2BfdevWsWPHDr7%2B%2Bmvc3Nz46quvGD16ND/99BPz5s3j%2BeefZ8%2BePThaKbi4efNm3n33XT755BPq16/PDz/8wOuvv463tzfDhg2jWLFibNu2jeXLl9%2Bz7ddff42Pjw9z5syhZcuWZgd4xYoVfPzxxxQvXpzevXsTHx/P%2BPHjSUxMZNy4cXz00Uc0bdqU3377jX79%2BlG7dm2zI26iRIkSNG7cmB07dtC2bVvA6Fh169aNM2fOsHPnTrp06UJWVhZ79uzh3XffBWDx4sWsWLGCTz75hBo1avDFF1%2BYn4ly5coBsG7dOubPn4%2BXlxe//PKLeZ8Gg4FXX32VyMhIhg4dyuHDhxkyZAjFCygEmpiYyM2bN2ncuLHyehoMBooVKwYY50PNmDGDVatWUbt2bf7v//6PkSNHsmXLFp566in%2B85//sH37dlq2bAkYwzbr1atHjRo1ANs%2Bt7du3WLdunUsW7aMW7du0b17d5YvX06/fv04fvz4Pdc%2BODiYBaqCoXdx6dIlUlJSLNZ5ZGfjWb58wRuVKmW51EJVSNRUqNi01KOrhel%2BUBWIhb%2BKihaEqe16iqHe1TcVqV2qT5/5C7XqoWRJbXn%2B4qoqVO03FafWU6Talqj2Z4oCKCAa4G5Uh1mYy2kuRlwQpoK2qsK2enZYGFuqc1HY%2B0wVNWMKe7cS/n4PqsK7detaLrVQFQcvXdpyqSI313a2VOfWln1tYe4NVV9bqAcA7fYXps/I9/H8YfNvHJGyNUV2uHr27EmFChUAaN68OYmJiYDxa3iTJk1o0qQJAH379qVGjRrcuXOHVatW0bRpU1q3bg1A06ZNadWqFevXrzc7XNWrVyc0NBSAZs2akZCQQL9%2B/ShRogShoaF88MEHXLlyhQsXLnDs2DGWLl2Ks7Mzzs7ODBkyhL59%2BxIbG2t2CrQoVqwYPXv2NOuuXLmS2NhYqlSpAsCwYcP44osv2Lt3r/l4IiMj8fT0BKBmzZo88cQTPP7444Bx5OnkyZNW95WcnExKSgp%2Bfn5W5Xr2rSImJobSpUtTunRpGjRowKlTp8y2u3fvTr169QB46qmnaNiwIWvXrtU9n%2B306dN88MEHhIeH4%2BLiwpUrV/jxxx9Zv349bnk/rCNHjqRVq1akpKRw7do1ihcvjrOzM8WKFaNbt248/fTT2NurB1dXrlxJhw4daNSoEQDt27dn/vz5fP/99/j4%2BOhq791ER0ebr1vTpk3N52b16tW0atXKPBrVqFEj2rVrx5o1a%2B5xuMAYVvj5558DRsdg3759xMXFce7cOXbs2EGXLl3Yt28fWVlZ5uu2cuVKoqOjzW2PiYkhPj6eLVu20K1bN7Nda%2BGuBw8e5NKlS7z88ss4OjpSv3592rRpw48//mj1OI8fP06FChUoU6ZMgefCYDBw8OBBli1bRt%2B%2BfQFo2LAh27dvp3TeD2aHDh0YO3YsR48epUmTJjz11FN88803Zofrhx9%2BoGPHjmabtnpuTe176aWXcHNzw83NjYYNGxb4XAHUrl2bpKQkbt%2B%2BXWCY6d0sW7bMYnQYYPArrzCkZ0/1xjqfR13oeQkrDKqXLIC850CJLcOvPTxsZ6tyZdvZAqhd23a2nnhCqaL%2BZcrT06OoY38A6Axt1nuVypbVoaRI7GNGx8ch3Vjps%2B8bvffZxIn69AYMsJ2tJUv06ekh77fPJrRoYTtbYNu%2B1pb3hp5%2BFvT1tflC/wvkhx/07e8BIA5X0Smyw2VyDACcnZ3NGdXOnDmDl5eXhSwyMhIwhiPePaelWrVq7N271/z/xx57zPxvR0dH3N3dzSM8puWdO3c4c%2BYMBoOB4OBgC3sGg4GrV6/iruOBeOyxx8zOVnp6OtevX6dmzZpmecmSJSlXrpxF2Fr%2BJA2Ojo5mp9P0/8zMTKv72rVrF4GBgThY%2BYKid98q8l8TJycnc1uSkpLYvn07CxcuNMtzc3OpVatWgbbmz59v1jeNakVFRTF8%2BHDAeJ0BunTpYrFdsWLFuHDhApGRkaxZs4aWLVvSrFkzWrVqRWRkpC6H6%2BzZs/c4mdWqVSvUubgbrXOzc%2BdOC0c4NzfX7IDdTYsWLZg0aRKnT58mKSmJypUrU6FCBZo2bWoOa9uxYwcBAQG45n1Rs3bfe3l5WRxP5QJ%2B3JOTkyldujSl8n0pq169eoHHefXqVbMDnB9TGB4YQworV67Miy%2B%2ByPPPPw8Yn5vZs2fz3XffWSRjMZ2nLl26MGjQIG7dukVGRgb79%2B/ngw8%2BMOvZ6rk1cXf/cvv27QKPuWze29/Vq1etJlGxRlRU1D2ZHj0OHND%2BYStVyvgCsGuX%2Bouj6sOAg4PR2bpwAbKytHX1OJHFixtfAlJTQZWMJt8cRKs4OhqdrdOnQZX5VPUFunhxo7OVkqJul8Y1BoxfxStXhnPnoIB%2B1gLVNXJ2Njpbx46BKpun6jy4uBidn0OHICNDUzW3UZC2LYzOltaAglnvd8XcRScno7N14oT6/AIpntoOXPHiRmfr6lX15fRI3Kyt4OpqdLZ%2B%2BQWsTAW4Z8cqW4GBsHev2lbVqtrywt5n%2BX5XrVKxotHZ%2BuQT4/Ouxddfa8vr1jU6W9HRcPiwtu5diZzuoXRpo7P1889w7Zq2LqhHuFq0gG3b9NnSM8Klt6/VM8Kl995QjRwWpp8F0PhQiIuL0dk6cEDZZwj/bIrscBU0gmRnZ0duAQ9mQc5Iflt3v5AX9ILu6OiIi4sLv/32m57mWiV/WFZBbbu7fXcftx4HAv6av2UNvftWUZCuk5MTr732GjExMbptxcTEMHLkSACOHTvG008/Tdu2bSmZF6ZjGknYunWr%2BYX3bpYvX87evXv58ccf%2BfDDD1m6dCmLFy9W7lvPfWIrnJyc6Nmzp%2B5Md9WqVcPLy4sdO3Zw9uxZmjZtChiTUty4cYMTJ06wc%2BdOi5d5PcdjCu27m8zMzHuSi%2BQoPjlZO0/%2B/v5WQzBNzJ49m2%2B//Za5c%2BdSt25dcnNzzSO3YAzbc3NzY/Pmzdy8eZPg4GDK5wu/s/Vzq/e5gr%2BOt6B%2Bxxqenp7mEU8zv/%2BudkbA%2BAKg0tNboiErS61bwL1hlexstQOnt1TAnTtqXT1hh6Z2qV5edTgEgNGOHt28uaZKbt1S6%2BptW0aG%2BqXOluh9Ubt9W5eu3sSx2dk6dNPT9Rm7cUOtqzeES48tvaOteu8zvQmaLlxQ6%2Bp9nzl8WK2rN4vxtWv6dPX0r3pt6YxE0NXX6gkJBuO9oXIGVX2nCT39LOgLBczIeKQhgypkhKvoPLAshVWrVjWHa4HxhXHevHlcvXoVLy%2Bve0KDTp48SVXVFycreHl5kZGRYR5pAWP2uvvN3FeuXDlKlixp0b709HSuXLliMWJ3v/zyyy/3fNV/WPv28vLiyJEjFuvOnz%2Bv%2BwW1du3avPjii4wbN848klm5cmXs7e0t7GZlZZkTR9y5c4dbt24RGBjIa6%2B9xtq1azl69CiHVV/l8tprq/tEz77uPjfJycmaGRRbtGjB7t272b17t9nhKl68OI0aNWLbtm0cPHiQFvlCK%2B4%2BnuzsbE6fPq3reDw9Pblx44ZFAhStVPNly5a1yKKol8TERMLDw3n88cext7e/J%2Bufvb09HTt25LvvvuPbb7%2B1CCcsDLZ%2BbgHziJyeUW1BEARBEPQhWQqLzgNzuLp27UpCQgI//vgjWVlZLFiwgEWLFuHq6kqnTp3Yvn07P/74I9nZ2Wzbto0tW7bcE5amhzp16hAQEMCUKVNITU3l2rVrTJgw4b7Tltvb29OhQwc%2B/fRTkpOTycjIIC4ujqpVqxKgmsiq4Ny5c6SmpprnUIHxS/%2BFCxe4du0aOTk5hdq3aXTpzz//tJqV8W6ioqJYv349W7ZsITs7m127dtGhQwf279%2Bv%2BxheeeUVsrOzzfNeSpUqRfv27YmLiyM5OZnbt2/z3nvvERMTQ25uLlOmTGH06NGkpqaSm5vLoUOHyMnJoVKlSub2nzp1igwrX107d%2B7MN998Y54LtXr1ao4dO2YOTVXh6OjI6dOndZ2b7t27s3fvXlatWkVmZiZ//PEHzzzzjGbK/hYtWrBnzx6OHDli4UQ3adKExYsXU6ZMGermC03o3LkzS5Ys4cSJE2RmZprrX6mKFwPUr18fNzc34uPjyczMZM%2BePQXO3wKoVasWly5dIl3v1%2BU8KleuzOHDh7l16xbHjx8nPj6eUqVKWWRe7NKlC9u2bePAgQO0adOmUPZNFPW5dXR0JCUlhbS0NPPI4bFjx/Dy8tI9f0sQBEEQBOFh8MAcLl9fX%2BLi4pg0aRJBQUFs3ryZjz/%2BGAcHB/OL1owZMwgKCmL69OnExcXpyqhmjRkzZpCbm0t4eDht2rQx16e6X8aMGYOvry/PPPMMoaGhpKSk8PnnnxcY7qWXhIQEAgMDLUIYO3bsyKlTpwgNDeXSpUuF2nf58uWJiIhg6NChzJw5U7n/Zs2aMXr0aGJjYwkMDCQ2NpaJEyfSoEED3cfg5OTEhAkTmD9/Pr///jsAb775JtWqVSMyMpIWLVpw/Phx5syZg52dHa%2B99hr29vZEREQQGBhovu7u7u74%2BvoSEBBA9%2B7dWbp06T37ioyMZMCAAYwaNYrg4GCWLFnC/PnzNecu5adHjx5Mnz6d119/Xanr7e3NjBkziI%2BPp1GjRuYEDu3bty9wm%2BDgYK5evYq3t7fFfKmmTZuSlJRE8%2BbNLcL6YmJiaNu2Lf369ePJJ58kISGBRYsWmRNUaOHk5MTs2bPZtGkTQUFBzJo1SzM01M/PDxcXF4tMh3oYMGAABoOBJk2aMGbMGIYMGcLTTz/N5MmT2bRpE2A8V97e3oSEhJhDS%2B%2BHojy3rVu3Jjc3l1atWnHw4EHAOHqsN7GMIAiCIAj6kBGuomOXW5gJD4Ig/GOYOnUqJ0%2Be5NNPP7WpXYPBwFNPPcXkyZPNoZSPmpSUFMLCwvjyyy95Qm/GtoLIV1DZKmXKQJs2xsQaqrBN1ccMR0fw8oKkJH0JGVQ4OBgzYl26pJ5bcPmyttzZGerUgaNH1XO4NLJhAsbJ8abkIKo5XKo5Rk5OUKMGnDqlb26N6hqVLPnXpPWizuFydYWgINi9WzmHK7dVqLYtCpE0Y89ubYVCJPMAuFBFO6FHYXKgVNz1f9oKbm7GTIabNxd9DpebG7RsCVu3qm1pJIsCCn%2BfTZ%2BuLa9WzZh9cOJE9RwuVXmLgABj8ofAQPUcrv/%2BV1vu7g7t28P69UWfw%2BXuDpGRsG6dbeZwFaavVc3hKl36r3tDNYdLFc1UmH4WjPOCC6IwiUHAeD4eAflyY9mMoUNtb/PvzAMb4RIE4dHSt29f9u/fby7VYAuys7P54IMPcHd3/1uNJn322We0bNmy6M6WIAiCIAgWyAhX0RGHSxD%2BR/Hw8GDKlCmMGjVKM526Xs6fP09AQAC7du1ixowZDyRb5P2wZ88evv/%2B%2B3sKnQuCIAiCUHTE4So6RU4LLwjC35fWrVubC4wXlUqVKtl0tMxWNGrUiJ9%2B%2Bsl2Bp97TlveoIExrGP8eNi3T1s3r0B0gdSqBR9/DO%2B8A8ePa%2BvqSYnt7Q2zZkFsrLHmkhZ//qktf/xxWLUKxo7VDokB9XkwOeflyqlj5ObO1ZZ7eBhDvXbuNMa0qVCFO7q7G0MKT59Wh0Hdlcn0HipVMoYUJiTA%2BfOaqnZ16mjbygtbskvREbakCqcype13dNQVo1gRRZ0oigMeeJACKGIK89XXtL6zisaQwsOH1fWp8tXls4opXDUlRR0yqwrRLVXKeJ%2BlpOgL9VIVDi5Xzrhs0EBdAyw8XFtuysQ6ebL6nu3dW1seEGAMKRw/Xl86eq17rUEDY0jhlCnqPgGM4bxa%2BPsb%2B9qpU40hv1o0aqQt9/Y29sfLl6v7xhEjtOWlShlDCk%2Be1HdvREUVLPP3hy1bYMwY9TGC/jT/wt8OcbgEQRAEQRAEQbDKv3FEytZISKEgCIIgCIIgCMIDQka4BEEQBEEQBEGwioxwFR1xuARBEARBEARBsIo4XEVHQgoFQRAEQRAEQRAeEOJwCYLwyPjzzz8ZM2YMLVq0wN/fn%2BbNmzNkyBB%2Bz5cVz8fHh65du5Jz1ye21atX0ztfBq6wsDCWLl360NouCIIgCP8G/mlp4dPS0hg2bBhPPvkkzZs3Z9y4cQWWx1m9ejV169bFz8/P4u9AXtbInJwc3n//fcLDwwkKCqJv376cOXOm0G0Sh0sQhEfCH3/8Qbdu3ShfvjyrV69m//79fPnll5QvX54ePXqYOzsw1gBbtmzZI2ytIAiCIAj/BN58801u3brF2rVrWbVqFSdOnCAuLq5A/aCgIBITEy3%2B/P39AVi8eDHffPMNn376KT/%2B%2BCPVq1fnlVdeIVdHiY38iMMlCMIjITY2lpCQEEaOHImHhwd2dnZUqVKFCRMmMGLECIrnqzs1fPhwZs6cydWrVx9hiwVBEATh38c/aYTr8uXLbNy4keHDh%2BPu7k6FChUYNGgQq1atIktV09AKy5Yto0%2BfPnh7e%2BPq6srw4cM5ceIE%2B/fvL5QdcbgEQXjoXLlyhb1799KrVy%2Br8j59%2BvD444%2Bb/9%2BsWTOCgoJ4//33H1YTBUEQBEHgn%2BVw/fHHHxQrVgwfHx/zuieeeIKMjAxOnjxpdZsLFy7w4osacW2NAAAgAElEQVQvEhQURHh4OGvWrAHg9u3bHD9%2B3OJ9xNXVlWrVqpGYmFiodkmWQkEQHjqm%2BOfq1avr3mbs2LF06NCBZ599lnr16tmkHZcuXSIlJcVinUf16niWKVPwRqZOPF9nXiC1amnLq1a1XGpRrJhap0oVy6UWLi7a8ho1LJda2Nnpk6v0ADw8tOVly1ouVZQqpS13c7NcalGpkrbc1HbVMQA4OGjLTSO8xXX8TDs5acsdHS2XKlT7LEzbKlbUlpcvb7nUo1sQpudW6/k1obovTM%2BH6jkxUa6ctrww91mJEtry0qUtl1oEBGjL69a1XKrQutfq1LFcqnB21pbXrm251MLbW1temL7R1vdGXmiaVQpzjPnC7P8XsPr76%2BGBp6dnkeympaXh6uqKXb7fG7e8585alIy7uzvVq1dnxIgR1KpVix9%2B%2BIFRo0bh6elJzZo1yc3NNW%2Bf315hI27E4RIE4aFj6gizs7PN63bv3k1MTAwAubm5VKxYkR9%2B%2BMEsr1y5Mi%2B99BKxsbE2m8%2B1bNkyZs2aZbFu8KBBDBk6VL3xokU2aQMAb7xhO1sAY8bYzpZG3HuhUTkZANHR%2Bmy1a1e0ttxNy5a2sxUVZTtb7u5qHb0vKHoc%2B8Kgx%2BkdNEifrWefLVpb8hMebjtbNvq4YyY01Ha2mjdX67Rvr8/WkiVFa0t%2BFiywnS2AuXNtZ8uWfaOWI5WfLVvUOp99ptbR0xc8IB7EiJTV39/BgxkyZIhy2zVr1jBq1CirsuHDhxdqflWrVq1o1aqV%2Bf%2BRkZH88MMPrF69mpEjRwIUer6WNcThEgThoVO9enXs7Ow4efIkFSpUAP6atArGrEF3d8QA/fr14//%2B7/9YtWoV9vZFj4iOiooiLCzMYp1H167aLx8%2BPkZn6/nn4cgR7R0EBmrLq1Y1Oltvvw2qrEd6R7jGjIGpU%2BHsWW3dCxe05TVqGJ2tkSPh1CltXVV2SDs7o7OVlQWqH66VK7XlZcsana1vvwU9Xxj1jHC1bAlbt0J6urbu6dPacg8Po7O1bBnc9eX2HlQORvHixhes1FTI92HCKteuacsdHY332pkzcOeOti6oR2GKFzdeh6tX1W1bsUJbXr688VwsXw6XL2vr5vUVBVKmjNHZ2rQJ0tK0dVXOp4uL0dk6eBAyMrR1Ac6f15a7uRmdrR9/VN9neka4mjeHn39WX/vx47Xldesa%2B7voaDh8WFsX1CNcCxZAnz5w9Kjalp4RrrlzYeBAOHZMW9fXV1temL7xuee05S4uRmfrwAF994aWk1e7ttHZ6tdPfYz/Y1j9/dUTHQB07tyZzp07W5Vt376dGzduYDAYKJb3u5mW1x%2BUU41E51G5cmUOHjxImTJlsLe3N29vIi0tTbctE%2BJwCYLw0HFzc6NZs2bMnz%2Bfpk2b3iO/OwW8iRIlSvDGG28wbtw4BgwYUOR2eHp63hu%2B8Oef%2BjY%2BcgT27dPW0RPyA8YX4ePHtXX0hG%2BZOHsWTpzQ1tF7nKdOQb40/VbR%2B/UvN1etq3JUTFy9qk9X7yTp9HSjc6OF6qXaREqKWldvu7Kz1boFpDu%2Bhzt39OmWLKnPXna22uFSOfYmLl9W6%2Br56ABGZ0vlvOkJOwTjC/X162q9K1f02UtPV%2BvqDf28dk19z/72mz5bhw/r01U5SWB0tlR9I%2Bi/z44dU4fTqZxUE3r6Rj3XG/TfG3pCAfUc4yPkQYxwWf39tQG%2Bvr7k5uZy%2BPBhnnjiCQASExMpXbo0NayEyC9duhQ3Nzfa5xsNPnHiBFWrVsXR0ZHatWtz6NAhGjduDMC1a9dISkoyZzHUiyTNEAThkTBu3DgOHDjA8OHDOZv3xTEtLY0VK1bw3nvvFdiZhYWF4efnR3x8/MNsriAIgiD8K/knJc1wd3cnIiKCmTNnkpqaSnJyMrNnz6Z79%2B7m7McvvPAC69evByAzM5NJkyaRmJhIVlYWa9euZevWrfTo0QOAnj17smjRIk6cOMGNGzeIi4vD19cXPz%2B/QrVLRrgEQXgk1KxZk1WrVjF79myio6NJS0vDxcWFJ554gjfeeMPia9PdjBs3jg4dOjzE1gqCIAiC8E8gNjaWCRMmEB4ejoODAx06dGD48OFm%2BZkzZ0jPC%2B19/vnnuXnzJkOHDiUlJYUqVaowe/Zsc3KuHj16kJKSQu/evbl58ybBwcFWpzyoEIdLEIRHRpUqVXjnnXc0dY5YmSdlLSXr5s2bbdo2QRAEQRAe7IjUg6BUqVK89957Bcrzvy/Y2dkxaNAgBhWQ4MfOzo5XX32VV199tUhtkpBCQRAEQRAEQRCEB4SMcAmCIAiCIAiCYJV/2gjX3xFxuARBEARBEARBsIo4XEVHHC5BEIT8qFJPm%2BTFiql1Vanc89tS6WrVvzFhSift6KhP31aoagEVL25M23zzpjqNuKq4p6lGlJsbGAzqtqnSg5vOu54U26r07KZj05PKXbUvJydjQeP0dHUq98xMbbmpZl1mpq46XBftK2rKi9tDOeCKvQfZiokJFVS1s0y1bMqVU7/V2fJ5qlJFW256ljw91XXJQF2PyWTD3V3db6hqiJlKK%2Bgps6BK427qJ5yc9KV8v3WrYJnpPr19W1vPhN608HpQPeem%2B0xPyQBVH2XqdwwGtS5o1wI0nYOSJdU1A4V/NOJwCYIgCIIgCIJgFRnhKjqSNEMQBEEQBEEQBOEBISNcgiAIgiAIgiBYRUa4io44XIIgCIIgCIIgWEUcrqIjIYWC8D/K7t278fPzI1M1of5/hLi4OHr37v2omyEIgiAIgmCBjHAJgoKwsDAuXryIfV6mr/LlyxMcHMxLL71ErVq1HnHrLNmwYQM%2BPj5Uq1aNoKAgEhMTdW33TzpGQRAEQRAeHjLCVXRkhEsQdDB%2B/HgSExPZu3cv8fHxlC1blm7durFz585H3TQLPvzwQ06fPn1f2/5TjlEQBEEQBOGfhDhcglAIHBwc8Pb2ZvTo0fTu3Zvx48djMBhITk7m5ZdfJjg4mIYNGzJ8%2BHDS8mqpJCQkEBgYyKZNmwgLCyMgIICZM2eSmJhIp06dCAgIYPDgwWTl1e3Jycnhww8/pHXr1tSvX59u3brx66%2B/mtuwevVqIiIiaNCgAaGhocyfPx%2BATp06cezYMQYNGsTYsWNJSEjAx8eHO3l1d86cOUNMTAwBAQGEhoayaNGiQh0jwLlz5xg4cCDBwcEEBQUxatQobty4cV/HeefOHcaPH0/z5s0JDAwkOjqao0ePmtsRFhbGihUr6N%2B/PwEBAbRu3Zqff/7ZLN%2B8eTMREREEBAQwbNgwbqtqFQmCIAiCUGhycmz/929DQgoF4T7p06cPn332GYcOHWLixInUqlWLTZs2cfv2bYYOHcqECRP44IMPALh16xY7d%2B5k3bp1fP/994wZM4YjR46wYMEC0tPT6dSpk9mBWLhwIevWrSM%2BPp5KlSqxbNkyXn75ZbZs2cK1a9eIjY1l2bJl%2BPj4cPDgQfr27UuTJk34%2Buuv8fHxYc6cObRs2ZKEhASL9g4ePJjGjRsze/Zs/vzzT3r16oW3tzfNmjXTdYx%2Bfn4MGjSIwMBA3n//fTIyMhgxYgTTpk1j0qRJhT7Ozz77jP3797N27VpcXFyIjY1lzJgxrF692rz/efPmMX36dOrWrcvEiRN5%2B%2B23Wb9%2BPdeuXWP48OGMHDmSqKgodu7cyWuvvYavr2%2BhruGlS5dISUmxWOdRrRqeZcsWvFGdOpZLLby9teWm4quqIqzwVyFWLSpXtlxqYa/43lajhuVSi8IUpFWhKnxcurTlUoXqOE3XWuuam7Cz05Z7eFgutVAVps5fxFqF6rzmL26rA1teTuW5KMz5V52L/EWxi2qrRAnLpQrVPl1dLZdaqO7ZwjwDDRpoywvTn4F2Ee66dS2XKlTXvHZty6UWFbWLdVO9uuVSC9V5zV%2BsWA/16hUsM/1GqH4rAA4e1Le/B8C/0UGyNeJwCcJ9Ur58eUqXLs2uXbs4dOgQn3zyCa6urri6utK/f39eeeUVc8KKnJwcoqOjcXZ2JiwsjNzcXCIiInB3d8fd3Z2aNWuaQwFXrlxJnz59qJ73w9C7d28WLlzIli1bqFOnDjk5Obi4uABQr149du7caZ57VRC///47R44cYeHChTg7O%2BPr68usWbOoUKGCrmM8e/YsAMeOHWPp0qU4Ozvj7OzMkCFD6Nu3L7GxsYU%2BzgEDBtCnTx9c815A2rZty%2BrVq8nOzqZ43htfaGgo/v7%2BAERERPDVV1%2BRk5PDzz//jIuLC7169cLe3p6QkBAaNWrEzZs3C3UNly1bxqxZsyzWDR40iCFDh6o3XrCgUPvSZMwY29kCGDHCdrbi4mxnS88LYmSkPlstWhStLXfTvr3tbPXqZTtbXl62s1Wzpi61cjrNlSmjQykqSp%2Bxp57SuVcdhIbazlalSvr09LzIAwQG3ndT7kHPM6D3ebJlf7Zkie1sAcydaztbkyfbzpbKmTWxbp1a58MP1TrVqunbn/C3RBwuQSgC2dnZVK1aFTc3Nzzyfcn18vIiKyuLixcvmtdVzPsC55j3ZTW/s%2BPo6GgO/UtKSmLKlCm8/fbbZnlOTg4XLlygXbt2dO7cmXbt2tG4cWOaN2/O008/TVnFl8KkpCRcXV0pk%2B8N6cknn9R9jPb29pw5cwaDwUBwcLCF3GAwcPXq1UIfZ2pqKpMnT%2BaXX34xO0oGgwGDwWB2uKrkG/lxcnLCYDCQlZVFcnIyFStWtHA0q1evzqFDh3Qdk4moqCjCwsIs1nl07w7LlhW8UZ06xpeTPn0gXwikVVQvV1WqGJ2tqVMhz6ktEL0jXCNGwHvvwblz2rp//qktr1HD6GyNHAmnTmnrxsdry4sVMzpb165BXnhqgezYoS0vXdr4orltm9GeirzQ3gIpW9bobK1fD/nuY6vcNRp6Dx4eRmdr8WK1rupF2NHR6GwlJUHeM1MgeWG6BeLkZHS2Tp7UHqHI40qFxzXlxYoZna20NPXlLLdR41kC4/l/6inYsEF9/vWMcIWGwo8/Qnq6tq7qZblECaOzdf486Mn0mpSkLXd1NfYHe/dCXhh2gVy/ri0vzDMwZYq2vDD9GahHuJYsgehoOHxYbUvPCNfcuTBwIBw7pq2rZ4Rr8mQYP17d9738sra8ZEnj/bNvH%2Bj5yJfvt/wevL2Nztarr8KJE2pbjwgZ4So64nAJwn1y%2BvRpMjIyOKXxMmqXLwTp7lGogkalnJycmDx5MhEREVblkyZN4qWXXmLjxo189913fPbZZyxfvpyqVasW2A57e3ty7qPHNB1jzZo1SUpKwsXFhd9%2B%2B01zG73HOXz4cBwdHVmzZg2PPfYYO3fupE%2BfPrq2zczMNM8rM3E/x%2Bfp6Ymnp6flytOnjX8qjh41/uBqoSe0CYzOlurHVmc4GGB0tk6e1NbR80IERmfr99%2B1dbKz9dkyGNS6qan6bF27pk/38mV99q5ehUuXtHXOn9dnKyVF7fDqnXN4545aV2/ph9u34dYtpZotL6fS8TRx9apa19lZn630dLhyRVtH5cSayMzUp6ty8EzcuKHWVX0kMKHnGVD1USb09Geg6/7h8GFQ/E4AUL68WgeMztaBA9o6ej6%2BgNHZOnLENrZu3tSnqycU8MSJRxoyKDx4JGmGINwnH330EXXq1KF58%2Bakp6dzOd%2BL3cmTJ3F0dFSG7FmjatWqHLnrB8EU0peTk8O1a9eoVq0affv2Zfny5dSqVYsffvhBafPmzZtcyvdCuXHjRn755RfN7UzHWKdOHby8vMjIyODMmTNm%2BY0bNyxGtwrDgQMHePbZZ3nssccACjU65enpycWLF8nNzTWvO/E3/jooCIIgCP9UJGlG0RGHSxAKycWLF3nnnXfYtGkTU6ZMwc/PD29vb2bMmEFGRgYXL17k448/JjIyEgcHh0Lb79GjB4sXL2bfvn0YDAbWr19Phw4dOH/%2BPOvXr%2BeZZ57hZN7oxblz57h48SJeefM8HB0dOX36tDlzoAlfX18ef/xxZs6cyc2bNzl69Cjjxo0rMLPf3ccIUKdOHQICApgyZQqpqalcu3aNCRMmMGrUqEIfI0DlypU5cOAAWVlZbN26le3bt5v3reLJJ5/kxo0bfPnll2RmZrJx40b2799/X%2B0QBEEQBKFgxOEqOuJwCYIOJk%2BejJ%2BfH/Xq1aNTp05cvHiRFStW4O/vj52dHXPmzOHSpUu0atWKZ599lvr16/PWW2/d1766d%2B9OdHQ0gwcPpmHDhsTHxzNr1iwqVapEZGQkbdu25YUXXqB%2B/fo8//zzdO3aldatWwNGZ2369Om8/vrr99idO3cu586d48knn2TgwIEMGjSIli1b6jpGEzNmzCA3N5fw8HDatGmDwWBg6tSp93Wcb731Fhs2bKBx48asXLmS9957j/r169O1a1eL0UJrPPbYY8yYMYP58%2BfTuHFjvv76a6Kjo%2B%2BrHYIgCIIgCA8SmcMlCAo2b96s1KlevTrz5s2zKgsODrYIEXR0dLwnZHD58uXmf9vb2zN06FCGWsmUZ2dnx/Dhwxk%2BfLjVfb3xxhu88cYb5v/n30%2BFChVYuHCh1e30HCMYR6U%2B%2BeQTq7LCHmezZs3YtGlTgfK723S3/YiIiALnuQmCIAiCYBv%2BjSNStkZGuARBEARBEARBEB4QMsIlCIIgCIIgCIJVZISr6IjDJQiCkJ9yirKvplTvbm5qXb3pvDMz1bp6UlObkqXYIvW0qRbQ9etqXVVq5BIljDV3btxQpzBX1cgxnafz5yE5WVsXIC8LZoGYUo07OxtrJWnxuHZ9KvP9ULOmuiSAqqCxqSTCY4%2Bp33ZUqcFLlDAu3dx0pVZXVSAwNa1ECSiueosoTCp9la6qbpOpMenp6nOiqntXqpSxdtOlS%2Bq6WKAuP2DKqJqWpk5Zr7oPTdezRAn1xSpZUlue//5X6arsma5P2bL6Ur6rzpkpA%2B7Vq2rdwYO15aZ%2BoEULY30vLVTF5Uxyg0GtC9oVwk3X2tVVZyXxR4M4XEVHQgoFQRAEQRAEQRAeEDLCJQiCIAiCIAiCVWSEq%2BiIwyUIgiAIgiAIglXE4So6ElIoCIIgCIIgCILwgBCHSxD%2BJpw7dw4/Pz9OnTr1qJvyj%2BPOnTv4%2BPiQkJDwqJsiCIIgCP9T5OTY/u/fhoQUCsIDIiwsjIsXL2Kfl9KrRIkS%2BPj4MGzYMBo3bnyPfuXKlUlMTLTJvleuXElYWBju7u5K3dWrVzN27FhK5GW%2BcnBwoHbt2nTq1IkePXpQrFgxm7RJEARBEATh34iMcAnCA2T8%2BPEkJiaSmJjIzz//TOvWrenfvz9nzpx5YPs0GAxMnTqVq6aUujooX768uZ0bN25k4MCB/Pe//2XgwIEY9KS9FQRBEAThfxIZ4So64nAJwkPC2dmZmJgYPD092bp1K7179%2Bbdd9%2BlY8eO9O/fn7Nnz%2BLj48OJEycYNmwYY8eOtdh%2BwYIFtGvXDoCkpCT69u1LcHAwwcHBjBgxgmt5tZAaN27M9evX6dy5M7NmzQJg586dREVFERAQQIsWLZg9e3aB7XR3dyc0NJT//ve/7Nu3j6%2B%2B%2Bsos%2B%2BKLL2jXrh3169cnMjKSjRs3mmW9e/dmzpw5DB48mAYNGtChQwdOnjzJ5MmTadSoESEhIWzdutWs//PPP9O1a1dzmz788EOzbPXq1XTq1ImvvvqKsLAwAgICGD58OFlZWQBkZGQwYsQIGjVqROvWrdm8efP9XhZBEARBEDQQh6voSEihIDxkDAaDOUxv3bp1fPjhh/j5%2BXHu3DmzTtu2bZk4caKF7g8//ED79u0B48hZ5cqV2bZtGzdu3KBv377MmTOHMWPGsGbNGsLDw1mzZg3e3t4kJyczaNAgJkyYQMeOHTl%2B/DgvvfQSXl5edOzYscB2enh4EBkZyXfffUe3bt3YsGEDs2bNIj4%2Bnrp167J582aGDRvGhg0bqFSpEgDLly/nww8/ZOrUqfTq1YuYmBheffVVRo0axaRJk3j33Xdp2bIlGRkZDBkyhDfeeIPu3btz9OhRevToQb169QgLCwOMc9oOHjzI2rVrOXfuHF27djWfg7lz53L48GHWrVuHo6MjEyZMuK9rcenSJVJSUiyPu0oVPLUKUHp7Wy61qFpVW24qfqsqggtgZ6d/f6r9grpiba1alkstTIVYC8LBwXKphapQsam4sKro9N36BWG61nqKjqrOWf6i2CrsFd87TXKVHtj2/OvYZWGaRl7fUCAeHpZLLUqV0pabQqh1hFIrbbm4WC5VFKZgugpVcWpT21XHAODvry03FQFWFQPWQ2FtqaIw6ta1XGqh6jdMhZj1FGQuXVpbnr9YsR602l%2BjhuVSi8OH9e1P%2BFsiDpcgPCRu3rzJl19%2BSWpqKiEhIaxbtw5/f3/8rfwgtmrVijt37vDrr7/SuHFjrly5wt69e4mNjQXg008/xc7OjhIlSuDu7k6LFi3Yu3ev1f2uXbuW2rVr06VLFwB8fHzo0aMHa9as0XS4AGrUqGFORLFy5Uq6d%2B9OvXr1AHjqqado2LAha9eupX///gAEBgaaj6dx48b8%2BOOPdO3aFYCQkBDzaJmLiwtbt26lZMmS2NnZ4ePjg4%2BPDwcPHjQ7XDdv3mTYsGG4uLhQu3ZtfHx8OHnyJGB0PqOjo6lQoQIA/fr147vvvtNzGSxYtmyZeRTQxOBBgxgydKh647u2KxLjx9vOlq3tzZljO1uqlyKAfv302cq7r2xG3n1nE0JCbGerZEm1jp4XbwBPT11qOq3pahqDB%2BszFhWlc686UPRrhSKvv7MZtrw3mjRR67Rpo8/W3LlFa8uDsgWwZIntbHXrZjtbgYH69Fq2VOtMnarWqV9f3/4eAP/GESlbIw6XIDxAJk%2BezNtvvw2Ak5MTvr6%2BLFiwgIoVKwLGRBnWcHJyIiQkhI0bN9K4cWM2b95M7dq18c4bVTl48CAzZszgyJEjZGVlYTAYzI7Q3SQlJZGYmIifn595XW5uLjV0fFHLP8KWlJTE9u3bWbhwoYWdWvlGQB7L90Lt6OhodojAmDQkMzPT/P9vv/2WBQsWcO7cOXJycsjKyqJRo0ZmedmyZXHN9wXR2dmZ27dvA5CcnEyVKlXMsurVqyuPxRpRUVFmB8%2BEx0svgZbz5u1tdLYGD4YTJ7R3oGeEa/x4mDwZkpK0dfWOcJnsqeYJqrJh1qpldLYGDYLjx7V1583Tljs4GJ2t5GTICwstEJXjXK6c0dlavRquXNHWNelrUaaM0dnavBnS0rR19YxwhYTATz9Berq2bmiottze3ujR3LypftvJCycuEAcHo7N16ZL6/APXS1vvl%2B6naaUWKj5MeHgYna1ly%2BCu0eZ7jekY4erYEb75BlJTtXV9fbXlLi5GZ%2BvgQcjI0NYF472tRWHuDT0jXE2awK5dcP26tq7qRb52baODNHAgHDumrauisLb0jHAtWQLR0erRnQEDtOXlyxudrVWr4PJlbV3VveHqanS29u6FGze0dQE0QvipUcN4jcaMUffJwj8acbgE4QEyfvx4evbsWaBcKwNgu3btmD59Om%2B88QYbNmwwhxOmp6fTv39/evbsyWeffYarqyszZ85kx44dVu2YnLe59/HV8ffff6dmzZpmO6%2B99hoxMTEF6tvfFWN09/9N7Ny5k4kTJxIXF0ebNm1wcHAgOjpa17aA2ck0kZubqzwWa3h6euJ591f/s2eNfypOnDC%2BjGmR5yAqSUpSv6DocbhMnDmjtvfHH/psHT8OquyZ%2BRxpTbKy1LqqF1cTV67o19VDWpragVM5XCbS09W29H4y1jPhwZbnH9s2jfPn9RlLSVHrli2rz1ZqqtG51CLfBxtNMjLUTg3oc/5B372hN1Tt%2BnX1R4IDB/TZOnZMv66tbKkcHxOHD8Nvv2nr6O0LLl9W6xbwIfQebtxQf%2BwAfaGAp079rUMGZYSr6EjSDEH4mxISEkJqaip79%2B5l165dZofr5MmT3Lx5k759%2B5pHgH7//fcC7Xh5eXH06FELpyQlJcVitMkaJ06c4Ntvv6VDhw5mO0eOHLHQOX/%2B/H05OwcOHKBGjRq0b98eBwcH7ty5wwnVaFE%2BPD09uXDhgvn/x1UjMIIgCIIg3BeSNKPoiMMlCH9TnJycaNWqFTNmzKBOnTp45SVWqFSpEvb29vz2229kZGSwYMECLl%2B%2BzOXLl8nOzsbJyQmAP//8kxs3bhAZGUlaWhpz5szh9u3bnDlzhpiYGIvQwPxkZWWxbds2Bg4cSOvWrXnqqacAY/jd%2BvXr2bJlC9nZ2ezatYsOHTqwf//%2BQh9b5cqVSU5O5sKFC1y%2BfJmJEyfi6enJxYsXdW3fokULli9fTkpKCqmpqcTHxxe6DYIgCIIgCA8DcbgE4W9M27Zt2bNnD5GRkeZ1FSpUYMSIEbzxxhuEhoaSnp5OXFwcmZmZREdHU758eSIiIhg6dCgzZ86kbNmyzJkzh02bNhEUFMRzzz1HaGioRWjg5cuX8fPzw8/Pj4YNGzJ9%2BnR69erFe%2B%2B9Z9Zp1qwZo0ePJjY2lsDAQGJjY5k4cSINGjQo9HFFRETQsmVL2rdvT1RUFK1ateLll19m48aNvPvuu8rtX3/9dWrUqEHbtm3p3r07Tz/9NMX1hnsJgiAIgqAbGeEqOvKGIggPCFVtqP/%2B978W/69Spco9IXsRERH3rANjVr5%2Bd2Vz%2B/nnn83/zl/TCqBJkyasXr3aaju6du1qziSo4rnnnuO5556zKrv7eEaOHGnx/5YtW5qPxcHBgffff/8eG6awSVO7CrLv6up6zzEeOnRIxxEIgiAIgiA8XMThEgRBEARBEATBKv/GESlbIw6XIAiCIAiCIAhWEYer6IjDJQiCkJ%2B8NPgFYkoZXLmyuj6Pqsimh4dxGR4OVgpgW6CnuK27u3HZoYO6DpEqBbephlqPHsqaUbcqeWvK7ezACbjtURVVUkvnYcO0FUzlAqKj9b0FFIyD624AACAASURBVBBKa8bB4a9liRLauj/9pC338oJOnYz1eVR11cqX15a7uRkLpv72m7puU%2BnS2nJXV%2BP9mpysq25QhpN2jb7ixY234%2B3bkJ2tbcutb19tBdM579xZnbJetTNHR%2BMyJATu3NFUverpoykvVgxKA9fqNiZfBYoCKfv4BW0F0xzTpk3Vx/Hrr9py03E6OqprduWrbWiVvNqO%2BPqq73/QTuWeV1%2BSihX1pUtXFcU21XUcMECdyn3iRG15QIDRziefqFPMq1La5yWmomJFfaUKtH5TTOUJqlTRX95B%2BEciDpcgCIIgCIIgCFb5p41wpaWlMXHiRH755Rfs7e0JCQnhzTffNGdxzs/48eNZs2aNxTqDwUDnzp155513GDNmDF9//bVF3VRHR0f27NlTqDZJlkJBEARBEARBEP4nePPNN7l16xZr165l1apVnDhxgri4OKu6kydPJjEx0fz322%2B/UbNmTdq2bWvWefnlly10CutsgThcgiAIgiAIgiAUwD8pLfzly5fZuHEjw4cPx93dnQoVKjBo0CBWrVpFVlaWcvuFCxdSqVIlQkJCbNouCSkUBEEQBEEQBMEqD8JBunTpEikpKRbrPDw88PT0LJLdP/74g2LFiuHj89c8zSeeeIKMjAxOnjxpsf5url27xty5c1myZInF%2Bl27drFp0yZOnz6Nt7c3EydOpF69eoVql4xwCcI/iLNnz%2BLj48OJEyesylevXk2zZs0A2L17N35%2BfmT%2BSybixsXF0bt370fdDEEQBEEQFCxbtsxcB9T0t2zZsiLbTUtLw9XVFTs7O/M6Nzc3AK5evaq57RdffEFQUBC1a9c2r6tatSrVqlXjk08%2BYdu2bTRq1IiYmBilrbuRES5BeMiEhYVx8eJF7POyrZUoUQIfHx%2BGDRtG48aNbbafoKAgEhMT76tN5cuXJzg4mJdeeolatWrZrE2CIAiCIPyzeBAjXFFRUYSFhVms8zBl7lWwZs0aRo0aZVU2fPhwclXpcK1gMBhYvHgxM2bMsFj/yiuvWPz/9ddfZ%2B3atWzcuJFnnnlGt31xuAThETB%2B/Hh69uwJwK1bt1i6dCn9%2B/fnm2%2B%2BoWrVqo%2B0TVlZWSQlJbFy5Uq6devG3Llzadq06SNpkyAIgiAI/3t4enred/hg586d6dy5s1XZ9u3buXHjBgaDwZxZMC0tDYBy5coVaHP37t1kZmbSSFFKoVixYlSsWJFLly4Vqs0SUigIjxhnZ2diYmLw9PRk69athIWFsXTpUrN869at98QcJyYm0qFDBwICAnjhhRe4ePHiPXYTEhLw8fHhTl49mjNnzhATE0NAQAChoaEsWrTIanscHBzw9vZm9OjR9O7dm/Hjx2PIK0Rz7tw5Bg4cSHBwMEFBQYwaNYobeXV9EhISCAwMZNOmTYSFhREQEMDMmTNJTEykU6dOBAQEMHjwYPOk1Tt37jB%2B/HiaN29OYGAg0dHRHD161NyOsLAwVqxYQf/%2B/QkICKB169b8/PPPZvnmzZuJiIggICCAYcOGcfv27fs5/YIgCIIgaPBPSprh6%2BtLbm4uhw8fNq9LTEykdOnS1KhRcI3BTZs20aRJE4oX/2ssKjc3l3feecfCVmZmJklJSYX%2BOC4jXILwNyH/1xgVy5cv59NPP6VkyZK88sorvPnmm3z66aea2wwePJjGjRsze/Zs/vzzT3r16oW3t7d5zpc1%2BvTpw2effcahQ4fw8/Nj0KBBBAYG8v7775ORkcGIESOYNm0akyZNAoyjdTt37mTdunV8//33jBkzhiNHjrBgwQLS09Pp1KmT2VH67LPP2L9/P2vXrsXFxYXY2FjGjBnD6nyFaufNm8f06dOpW7cuEydO5O2332b9%2BvVcu3aN4cOHM3LkSKKioti5cyevvfYavr6%2Bus6fCauTdsuXx1OrmKWXl%2BVSC1V4hGk/eopnuriodfLi1M1LLVTVXE1fAjW%2BCJrIFyqvKVfpAX8VNlbJVXomTMWgC6Iw50x1zfMXflWh2p%2Brq%2BVSi5IlteWm4riqIrl5FFe8GZjkKj1AXUw3f%2BFpFar%2B0bQvHQV8VaYKe5vZ9KTpKWSdf6mFt3ZRcovCu3rQ6g%2BqV7dcqjAVNi4IU3FwVZFwMBY21qJuXculFlZqNVmQv/C0HrQKH1eubLnU4uRJfft7APyT6nC5u7sTERHBzJkzmTZtGpmZmcyePZvu3bubnakXXniBqKgo2rdvb97ujz/%2BwM/Pz8KWnZ0dZ8%2Be5T//%2BQ8zZ87E1dWVDz74AAcHB1q3bl2odonDJQiPmJs3b/Lll1%2BSmppKSEiI0nEC6NWrF5UqVQKMTtGwYcPIzs4uUP/333/nyJEjLFy4EGdnZ3x9fZk1axYVKlTQ3E/58uUpXbo0Z8%2BeBeDYsWMsXboUZ2dnnJ2dGTJkCH379iU2NhaAnJwcoqOjcXZ2JiwsjNzcXCIiInB3d8fd3Z2aNWty%2BvRpAAYMGECfPn1wzXtpaNu2LatXryY7O9vcKYaGhuLv7w9AREQEX331FTk5Ofz888%2B4uLjQq1cvc1HDRo0acfPmTeW5y8%2ByZcuYNWuWxbrBgwYxZOhQ9cZvvVWofWny1FO2swXQsqXtbBUQtpEfxeuJGX3vJwrnwYRO54GOHfXp6Tlnem0NGKBPTw%2BBgbaz9fjjutT0zaLQ950AdH4FVr18F4a8vlELhUtjRo9PY0TnWdNz0nTOY9F1b%2BjtC8aM0aenh8mTbWcLoFs3tY7eZ%2B6u7HNFQs9HN4C75gRZZcQItc7TT%2Bvbn0BsbCwTJkwgPDwcBwcHOnTowPDhw83yM2fOkJ6ebrFNSkoK5a0491OmTGHatGl07dqVGzdu4O/vz8KFC3HR8xE0H%2BJwCcIjYPLkybz99tsAODk54evry4IFC6io58s44J3vq6WXlxdZWVlcuXKlQP2kpCRcXV0pU6aMed2TTz6pa1/Z2dnY29tz5swZDAYDwcHBFnKDwWCRrcd0DI55b9f5nTpHR0dziGNqaiqTJ0/ml19%2BMTtKBoMBg8Fgdriq5Pvq6uTkhMFgICsri%2BTkZCpWrGhO8gFQvXp1Dh06pOuYTFidtPvWW6CVbMTLy%2BhsxcZCUpL2Dtq00ZaXLWt0tjZsAFXGI70jXC1bwtatcNePyT38P3vnHRbF9TXgd0UBlYiiYkEQYzcWsKBGbNgrBLsEY1RiYmxgLFHRqKDmF1s0lsQWTTRikKjBGBV7LLFgAir2hgUQ6QrS9vtj3f0oy8wsrJrE%2Bz6Pz%2BLeu2fOzM7M3jOn5fHs5aN8eY2xtWsXSJxbAGlDR0iOq1QaY%2Bv5c5DLZTbPkjGaixXTGFupqcoeux46JD1uyDE7f156vEoVzcLv22/h0SPpuXnOu3xYWGgW1KGh8CJst0CUeLgaNIDLlzXHTYbHds0kx4sX15y68fEg8ZwHgIppkdITSpTQGFtRUSDXI0fOK2tqqjG2Hj4EmeqsSVb2kuPFimm%2BgpQUZadZmecy15MhBy0iQnrckHNj%2B3bp8WrVNMbWwoXw4sGaJC9yYfRib68xtmbOhDt35GW1bSs9XqGCxtjasQNiY6Xnfvut9Hi9ehpja%2BhQyBEephe5SnlmZprfgXv3NDc1OdasKXjMxkZjbC1ZAg8eyMt6TfybPFwAb731FkuWLClw/JCe34V9%2B/bpnVu2bFkWLFhQZJ2EwSUQvAZyFs2QI1vPnS6noaGtxmMm4T4oVqyYXjly3L17l2fPnvH2229z7949SpUqxYULFyQ/UyxPDE7e/2vx9vbGzMyMXbt2UblyZU6dOsXw4cMVfTY9PV2XV6alMPunN2k3Nlb%2Bxx00P7bXr0vPcXBQpkh8vLwB9NZbymSBxnCIi5OeoyfvTy9PnsjOVVoQSq1WMFfp96g0EUDuOGhRcszkDGwtjx7Jz5Uz7rSkpMjPVfoFpKbKL9CRtwdyzpOdq7QtRUaG/FyliqWnyy6E5Ww3LdnZCuca86AlJSmTlZIiP7eAFiL5uH9f2Vwl98Y7d%2BDqVfl5OUpvy24zKkp6jszvko4rV%2BTnKs0Hfv5c2VwloYAPHrzWkEHBy0cUzRAI/mGYmprmKgBxT8/C7fbt27q/IyMjMTc3z%2BW9youtrS1Pnz7NVVUnJCSEM2fOSOqyYsUK6tSpQ506dbCzs%2BPZs2dERv7/E%2BuUlBSDe1FoCQsLY%2BDAgVR%2BEUpkiHfK2tqa6OjoXKVfC%2BpNJhAIBAKBoPD8m4pm/FMRBpdA8A/D3t6eI0eOkJaWxt27d/n111/zzdmyZQuPHz8mOTmZTZs2ySZv1q9fnwYNGrBs2TKePn3KtWvXmDFjRoGV/aKjo1mwYAEHDx7E398fgDp16uDo6Ii/vz9xcXEkJSUxe/bsAnthyGFjY0NYWBgZGRkcO3aMEydO6LYtx7vvvktKSgrbtm0jPT2dkJAQ/v7770LpIRAIBAKBoGCEwVV0hMElEPzDmDhxInFxcbRs2ZKpU6cycuTIfHMGDx7MBx98QLt27TA1NWX69OmyctesWcODBw949913%2BfjjjxkzZgztciRU%2B/n50ahRIxo2bEjfvn2Jjo7m559/1hWtAFi8eDFqtZpOnTrRpUsXsrKyWLhwYaH2c9asWezfvx8nJycCAwNZsmQJTZo0wd3dnViZsJXKlSuzePFiNmzYgJOTE7t372bo0KGF0kMgEAgEAoHgZSJyuASCV4y%2BZM2c1KtXL59X6%2BqLePhq1arp/s5ZzlSLu7s77u7uALRs2VI3FzTFKzZt2lQonbTY2NjwbQHJyXm3Z2Zmluv/oClnr6VNmzYcPHiwwPG8OuWV361bN7p166ZIb4FAIBAIBIXjTfRIGRvh4RIIBAKBQCAQCASCl4TwcAkEAoFAIBAIBAK9CA9X0REGl0AgEORkhHRPKaysNK%2BurrJlxM82%2BEByvFQpeAe41HAQz55Jb1ZJn19zc6gF3KjfR7ZacUO7w9ITtB1fGzWCGjWkdesq00%2BnTh1Yvx7zT0fCtWvSc0uUkB6vXVvTc8fHR74sP7DjU%2Blw2bKloBNwsFQfEmSqkh80l/4%2Bbc3gc2CB2RdEynSDXjVGpiFww4aa/mALFsDFi9Jzly%2BXHtfWNU9MVFSOvsrpX6QnWFqCiwsVww/JylsbK92stXx5cLeFoLO2cu3eZK%2BRihVhqD1sPWkv22VBoqgroLnM%2B/SBo0eVdRawt5fuoWhhAc0qwvl7FWUr87d3dJSeoL1G6tWT710m11BX227i/fchOVl6LkiXtC/zop30J58oK20vV29fK69%2BfU2/KinCwqTHzV9ckAEB8qXcc%2BQt68XRUdMDbdAgZeXoP/us4DHtftnaapq//UMRBlfR%2Bed%2BuwKBQCAQCAQCgUDwL0d4uAQCgUAgEAgEAoFehIer6AgPl0AgEAgEAoFAIBC8JISHSyAQCAQCgUAgEOhFeLiKjvBwCf61zJw5kylTphhd7vPnz6lbty5//vmn0WUrpSj75uLiwk8//WRkjV4Nq1at4v3333/daggEAoFAIHhBdrbx/71pCA/XG8ydO3dYs2YNJ06cIDExkTJlyuDo6Mgnn3xCgwYNXrd6uLi4EB0dTbE8lXsqV67MgQMH8PPze02awa1bt1i5ciWnTp3i6dOnlC9fHhcXF8aOHUtZufJXCsi5b1lZWWzevJkPP/zQYDkrVqxg5cqVlNBT%2BW3t2rW0atWqSHoag40bN%2BLp6Unx4sUZM2YMY8aMed0qCQQCgUAgEBgN4eF6Q4mIiKBfv35UqFCBoKAg/v77b7Zt20aFChUYPHgwYXIlVl8RM2fOJDw8PNe/AwcOvFadIiIi6N%2B/P5UrV2b37t2EhoaycuVKrl69ypAhQ0iTKzlrIJcvX2bdunWF/nzjxo3zHcPw8PB/hLEVFxfHl19%2BSZZceWCBQCAQCASvBeHhKjrC4HpDmTt3Lu3bt%2Bezzz6jYsWKqFQqqlWrxuzZs/Hx8aF4cY3z8/79%2B9StW5etW7fi5OREcHAwACEhIfTt2xcHBwdcXFzYvHmzTvbff//NwIEDcXR0pGXLlsyYMUNnhBw5coQ%2Bffrg6OiIs7MzX331FdmFvPKmTZuGt7c3arWaIUOG8OWXX%2BrGtm3bRvv27Ul50fDkt99%2Bw9XVFQcHBzp16kRAQIBu7rNnz/Dx8aF58%2BZ07tyZQ4ek%2B/bMnTsXZ2dnJk%2BeTIUKFTAxMaF%2B/fqsXr0aBwcHYmJiAAgPD2fo0KE0b96cd999l9mzZ5PxomdKUFAQXbp04eeff6Zt27Y4ODgwa9YsMl/0ONHuW1hYGIMHDyY2NpZGjRpx%2BvRp1Go1ixYton379jg6OvLee%2B9x9uzZQh1DgOvXrzNs2DCaN29Oy5YtmT17Ns%2BfP9fp2bt3bxYuXIiDgwPR0dFMmzaNOXPmMGvWLBwdHenUqROhoaF89913tG7dmtatWxMUFKSTX9BxiI2NpV27dqjVapo3b05QUBArVqxg4MCBus%2BeO3dOdy45OzuzdOlS3fmyYsUKPvnkE9auXUubNm1o0aLFa/V6CgQCgUDwX0QYXEVHGFxvIE%2BePCE0NBQPDw%2B948OHD88XUnjmzBkOHTpEr169uHLlChMmTGD8%2BPGcPXsWf39/Fi9ezNGjRwGYMmUKAwYM4Pz58/z6669cvXqVgIAAMjIy8Pb25vPPPyc0NJQff/yRffv2yRo4cqhUKubNm8e2bdu4desWSUlJLFu2jDlz5mBhYUF4eDgzZsxg8uTJnD9/ni%2B//JKFCxcSGhoKwJo1a7hy5Qp79uwhMDCQ33//XfbY6cszsrCwYMGCBdjZ2QHg7e1Nq1at%2BPPPPwkMDOTw4cNs27ZNNz86Oprw8HD279/Pjh07OHToEFu2bMkls3HjxsybN48KFSrovFK7du1i586dBAQEcO7cOTp16sT48eML5SVKT09nxIgRNGnShD/%2B%2BIOff/6Zs2fP8vXXX%2BvmxMTEYGZmxtmzZ6lUqRKgMWA7duzI6dOnefvtt/Hx8SEjI4OjR4/i6enJ/PnzdYZRQcehQoUKrF%2B/HtAYVu7u7rl0i42NZeTIkbi6uvLnn3/y3XffERgYmCs/LTQ0lMzMTA4fPszy5cv54Ycf/jHeWYFAIBAIBAIQOVxvJJGRkQDY29sr/oybmxsWFhYA7Nixg9atW9O5c2cAWrduTYcOHfjtt99o3749SUlJlCpVimLFimFtbc327dspVqwYKSkppKWlUapUKVQqFfb29uzfvz9fjlZhqFWrFiNGjGD%2B/PnY29vTpk0bOnToAGi8NB06dMDZ2RmA5s2b06NHD3bt2kXTpk05cOAAQ4cO1RkTXl5eBRpd2mNXo0YNWZ127tyJqakpJiYmVK1alRYtWnDx4kXd%2BPPnz5k4cSIlS5akZs2a9OrViyNHjvDBBx9Iyu3Tpw%2BdOnXirbfeAqBXr16sWLGChw8fYmtrK6tXTo4dO0Zqairjxo3D1NQUOzs7PDw8WLduna5oR3JyMl5eXrnywOzt7enYsSMAbdq04c8//8TLywtTU1M6duzI119/zZMnT6hYsaLscSiI4OBgqlatqnsw0KBBA1xdXdm7d6/uPRMTE0aPHk2xYsVo3bo1VlZW3Lx5k8aNGyva/5iYGB4/fpzrvYrZ2VhXqFDwhywtc79KUKqU9Li5ee5XKczMlM9RMpcX13OBaJWX2wmAOnWkx188hNC9SlFc5mdJe44rPNflUipfXEa6VyWbLogXtxDdqyQNG0qP16yZ%2B1UKuXNR%2B13LfedKMUBeebX0uPb7UZL6Wrq09Hi5crlfpZD7vg24zAH5Q1GyZO5XSfTk3OZCe43IXSsgv6OGXOcAUg/2tF%2BQ3BelRBYYdt7K3UQNuTk6OkqP16uX%2B1UOG5uCxypWzP0qxYMHyrb3EngTPVLGRhhcbyAqlQpAF74GcPbsWUaMGAGAWq2mSpUquXKlqlatqvv7/v371MyzCKhevbrOY%2BTj48P06dNZv349zs7OuLq6UrNmTSwsLPj00095//33ady4MW3atMHd3Z0qVaoUqKufnx/z58/P9V6rVq1Yu3ZtvrmjR4/G1dWV8PBw9u7dq3v/3r17nDp1ikaNGuneU6vVOgMsKiqKatWq6cakDFHtsVMSBnn69GlWrlzJnTt3yMzMJDMzk%2B7du%2BvGLS0tsbKy0v2/atWq/PHHH7JyU1NTmT9/PseOHSMxMVH3fnp6ut75YWFhufZdS0hICPfv38fW1hZTU1Pd%2B9WrV%2Bfhw4e6fSxTpozO2NZSuXJl3d9mZmZYWVnpZGhftWGJcsehIAo6z3J%2Bt1WrVs1lsJcsWdKgHLqAgAC%2B%2BeabXO%2BN/fRTxikpUNKuneyUdxTqoWRNbQjKbJEWyoS9o2AvWiiUNXu2snlKmDlT0bROCsU5OSmQpVDYi1upNJ/vlZ8DkOf8LBJKdtLI8txlZ2hwcSmaKjnp0cN4shRc5gahrB6VtTJhOX4/ChalUJbCh1SKcHAwniyApk2NJ0vJQ58XaxlZtm4tmi45KSDiKBeTJxtve4JXjjC43kDs7e1RqVTcunVL59Vp0aIF4eHhgMYjlHcRamJiovu7oIW91hgZMGCALhfq4MGDuLm5sXTpUjp37szYsWMZMGAAISEhhISEsG7dOjZt2lSgR2LmzJkMGTJE0X6lpKSQmJhIVlYWMTExOmPG3NycIUOG4Ovrq/dzGRkZucLx1OqCH8lqwwWvX7%2BuO3b6uHnzJhMmTGDq1KkMHDgQc3NzJk%2BenMvIzRsCqFardcdQijlz5nD16lW2bNlC9erViYyMpEuXLgXOb9y4Mdu3b9c7JvddArp8vpzk9UoW5KVUchwKQoluRfWODho0CJc8K72KZ87Ar78W/CFLS80q7NgxyGHw6uPS230kx83NNcbWzZsgZycq9XDZ2kJkJLywdwukVrxM3l%2BpUhpj69IlePZMeu6aNdLjdnYaY2vOHLh3T3quEg/XzJng56fZURkODvxWcvyttzR2w5kzkJwsLevMGenxSpU0xtaGDRAdLT3382MyVkHNmhpja%2BxYzQkihdxCzMLi/3fyRV5rkTBAXlCCtCVVtqzG2Dp0CBISpDcrd42UK6cxtvbuhfh46blKPFwKL3MAcjyT1EvJkhpj6/JlSE2VntvMNkZ6QvHiGmMrLg7k7qW3bkmPlyqlMbbCwuSvc5D3cDk4wF9/wdOnRZMFmvOsaVONASR33ko8uAU0N0c7O839R%2B7mOGiQ9Hi9ehpja%2BhQuHJFei7AsGEFj1WsqDG2tmyBPNEW/ySEh6voCIPrDcTS0pI2bdqwYcMGWrdunW9czntjZ2fHrTw38Vu3bunC2eLj4ylXrhz9%2BvWjX79%2BfPPNNwQGBtK5c2cSEhKoVKkSHh4eeHh48Pnnn7Nr1y7FIWBSLFy4kE6dOmFvb8%2BMGTPYvn07JiYm2NnZ6YxJLVFRUVSsWBETExOsra159OiRbuzGjRsFbqNcuXI4OTmxceNGnYdMS2pqKh4eHsyYMYNHjx5hamrKsBc3WrVaTUREBLVr19bNT0lJIS4uTmcYPnz4UNKI0xIWFsaAAQN0nrhLly7JfqYgbG1tiYyMJD09XeeZunXrFtWqVTNKqGdERITscSgIOzs7zp07l%2Bu9nOeZMbC2tsY67xPgc%2Bc0Cxk5EhNl5z2rLDmsIy1Nfq0j8RwgH8%2Bfyy9OFS%2B8nz2Tn3vtmjJZ9%2B7Jz5ULp9ISGQnXr8tOk1vEa0lOlp%2BrwL4DNMaW7FwFYbWAxtiSm6vEIgDN96h0rpHkPXmiTFRCgvxcJfYAaIwtubXri/pFsii4zAEoU0aZvNRUBZeeUuUyM%2BXnyj1F0PLsmbK5Ch6W8fQpJCXJz1Oad5ySIi9PSRwpKLs5XrigTNaVK8rmKnGNP378WkMG5RAGV9ERRTPeUGbMmEFYWBje3t7cv38fgISEBH7%2B%2BWeWLFkiaQD17duXEydOcPjwYTIzMzl%2B/DhHjhzBzc2NqKgoXFxc%2BOOPP8jOziY5OZlr165hZ2fHhQsX6NGjB2FhYajVap48ecLt27d1XqOicPLkSY4dO4aPjw/Dhg0jLS2N77//HoD%2B/fsTGhrKjh07SE9PJyIiggEDBrBv3z4A2rZty/bt23n8%2BDFxcXGyJdhnzJjBX3/9hY%2BPD1FRUWRnZxMREcGoUaMwNzencePG2NjYkJaWRkREBImJiXz11VeYmpoSExOj86CZmpqycuVK0tLSuHHjBnv27MnnbQGNhy45OZno6GjS0tKoVq0a4eHhpKen89dff7Fnzx4AXXVEQ2jXrh3Fixdn5cqVpKenc%2BvWLTZv3oybm5vBsvQhdxzMX8Td3759m2d5VlM9evQgMjKSgIAAMjMzCQsL45dffuG9994zim4CgUAgEAgErwJhcL2hvP322%2BzYsQNzc3OGDh1K48aN6d69O7///jvTp09nyZIlBX7W0dFRV5mwRYsW/O9//2PRokU4OTlRuXJl/P398ff3x9HRke7du1O6dGnGjx%2Bva6o8ceJEmjRpwnvvvUeTJk0KrJaolLS0NGbNmoWPjw/lypWjRIkS%2BPr6smLFCu7du0fNmjVZvHgx69ato3nz5owbN46RI0fSs2dPACZPnkyNGjXo3r07/fv357333tMbRqelXr16bN%2B%2BnezsbN577z0cHR2ZOHEirVq1YsOGDZQoUQJHR0c8PDx4//336dWrFzY2NkyfPp1r167h7e0NaHKj6tSpQ5cuXejfvz%2BdOnVi8ODB%2BbbXqlUrqlWrpgvTnDRpEjdv3sTJyYmlS5fi6%2BtLly5dGDNmjMHertKlS/Pdd99x9uxZWrdujZeXF66urnz88ccGySkIueNQv359HB0d6d%2B/f67qg6Ax1r755hsCAgJo0aIFkydPZsKECUYzBgUCgUAgEMgjysIXHZVaKmFFIBC8FIKCgli8eDEnTpx43aoI8rJpk/S4lRX06aPJ85KJNTrbQLripCFpUkqqm5mbQ61acOOGfNRMw8eHpSdYWGiKYZw9tBorQwAAIABJREFUKx8DNWuW9HidOrB%2BPYwcWfSQwtq14dtvYfRoRSGFOz6VbjtRtqwm4ufgQfmQwoMHpcdtbeHzz2HBAvmQwlW/yoTGNmyoSUbq0UM%2BpHD5culxS8v/T5QyRkihAfLWxkp7pMuXB3d3CAoqekhhxYqatJqtW%2BVDCuWqIhpwmQMgV/TXwgKaNYPz5%2BUvp/a1ZELLSpTQFMOIiZEPKbx8WXr8rbegVSs4fbroIYVlykCbNnDihHFCCsuU%2Bf9EOjl51atLj5uba%2B4d16/L3xzlUhwcHTV5ZU2bKgsp/OyzgsdsbGDiRFi2TFlI4Vdfyc95CRgxkl%2BH0hDt/woih0sgEAgEAoFAIBDo5U30SBkbYXAJBAKBQCAQCAQCvQiDq%2BiIHC6B4DXg7u4uwgkFAoFAIBAI3gBEDpdAIBDkRK6ZaOPGcOQIdOig6V0jhVw/F1tbmD4d5s%2BXD2hX8ojRkB5Vp09Lj9erBwEBmn2Q6zXz44/S44bkTyxYID1ub685XtOnw5070nMBVqyQHjcx0ST0JCTI55TINeIyJIclNlZ63MoKevWCPXvkk4jq1ZMeNyRZEOT7FJUurcljuXBBvt9SjpYbeilbFrp0gQMH5JPo5BKlDNnPyjI9G0qU0MyJilJWpv3uXelxQ46ZXKMuQ/Ku5O5BhtzPtNsuiIYNNedrr17K2h7IJdIZcg96%2B2358cWLYdIk%2Bd5ktWpJjxuad7VoUcFjhuaDvaYlu4KONQYj16vwv4bwcAkEAoFAIBAIBALBS0LkcAkEAoFAIBAIBAK9iByuoiMMLoFAIBAIBAKBQKAXYXAVHRFSKBAIBAKBQCAQCAQvCWFwvQHMnDmTKVOmGEVW3bp1OXbsmFFkvQ75%2BlCr1YwfPx4HBweCg4Nf6bZfBY0aNfpHV0RctGgRnp6er1sNgUAgEAgEesjONv6/Nw0RUvgfwMXFhejoaIoVy20/V65cmQMHDuDn5/fKdPn%2B%2B%2B/ZsWMH9%2B/fJzs7m9q1a/Pxxx/TuXPnV6aDoURERLBv3z52795N3bp1841PmzaNXbt2Ubx4cdRqNRYWFjRu3BgPDw/at2//GjSW5tKlSyQmJvLuu%2B8CEB4eXig5np6enD9/HhMTEwCKFy9OjRo1%2BPjjj%2BnatavR9DUWkZGRXLp0ie7du79uVQQCgUAgEAh0CIPrP8LMmTMZMmTIa9Vhw4YNbN68mWXLlvHOO%2B%2BQnZ3Nr7/%2BysSJE9m0aRPNmjV7rfoVREpKCgD2EiWHu3fvztKlS1Gr1Tx69IijR4/i4%2BODl5cXH3/88SvSVBk7duygVKlSOoOrKIwYMYLPPvsMgPT0dPbv34%2BPjw%2BbN2%2BmadOmRZZvTPbv38/FixeFwSUQCAQCgRF5Ez1SxkaEFL4BTJs2DW9vbwCCgoLo27cvO3fuxMXFBUdHR7y9vcl40Wfk%2BfPnzJw5E2dnZ5o2bcrQoUO5du2aou2cOHGCDh064ODgQIkSJTAzM6N///4sXbqUChUqGCw/LS2NuXPn6mR6enpy48YN3fh3331Hx44dadKkCd26dWPXrl0F6nbu3DkGDhyIo6Mjzs7OLF26lOzsbE6cOMGIESMAaN68OTt37pTcR5VKRdWqVRkyZAhLly5l%2BfLl3HnRC%2Bj58%2Bf4%2BfnRoUMHmjRpgoeHBxEREbrP1q1blz179uDu7k7jxo356KOPiIqKYuTIkTg6OuLu7s79%2B/d183/77TdcXV1xcHCgU6dOBAQE6Mb%2B/vtv3f60bNmSGTNmkJaWxrx589i6dSsbNmygS5cuuu1qwzRTU1Px9fWlZcuWtGrVCl9fX9LT0yX3WYupqSm9e/emRYsWhISEAJpza8aMGXh6etK7d28AEhMTmTJlCs7Ozjg6OvLRRx/l2q9Dhw7RrVs3HB0dmThxImk5%2BjKtWLGCgQMH5tpumzZtCAoKAiArK4tFixbRpk0bWrRowYQJE0hISGD9%2BvUsWrSI33//nUaNGpEl109JIBAIBAKBIkRIYdERHq43kAcPHnDx4kWCg4N58OAB7u7uHDhwgJ49e7J27Vr%2B/vtvgoODKVWqFHPnzmXatGm6Ba8UNWrU4Pfff6dnz544OTnp3tcu/AGD5C9atIjLly8TEBCApaUly5cvZ%2BzYsezdu5cLFy6wefNmtm/fTpUqVThx4gTjxo3D2dmZ8uXL55ITGxvLyJEjmTJlCgMGDODGjRt4eXlhbW2Nh4cH69evZ9iwYZw7dw4zMzPFx7Fdu3bY29tz4MABvLy8WLp0KWfPnuXHH3%2BkQoUKLF68mNGjRxMSEoKpqSkA27ZtY82aNTx79ow%2Bffrg5eXFl19%2BiZ2dHR4eHmzcuBFfX1/Cw8OZMWMGK1asoHXr1ly4cAEvLy9q165N06ZNmTJlCqNGjaJfv37ExsYyZswYAgIC8PX15dq1azRp0kTnmcrJkiVLuHHjBnv37gVg1KhRrFy5UmeQKyErK0sXZghw8OBBFixYQIcOHQCNtzUlJYXdu3djamrK9OnTmThxIoGBgSQlJeHt7c1nn33GoEGDOHXqFJMmTaJ%2B/fqKtv3DDz9w4MABAgICKFeuHN7e3sybN4/Fixdz/fp1nj9/ztKlSxXvS0xMDI8fP871XkU7O6ylGnLWrp37VQpbW%2BlxbTdJJV0llfxCaZu5yjV1BfkmszVq5H6Vwtxcelx7XSm5vuSa21atmvtVjhznquS43DzQNDaWonTp3K9SyH2f2m3JbRM0DX%2Bl0H4/ct%2BTluIyS4OSJXO/SiHX3FbbSFeqoa4WY%2B5niRLS49pjIHcstMh954YcM7ltao%2BD3PEATWNjKQy5n4H0ftasmftVDgsL6XFD7kHVqkmP29jkflUytyAqVsz9KoejY8Fj2qblcs3LQVljZME/FmFwvYE8ffqUiRMnUqpUKWrXrk3dunW59aLz%2BujRoxk%2BfDgWL26E3bt3JygoiMzMTIrL/AiMGzeO%2B/fv4%2BnpScWKFWnatClt27alR48eOnlK5WdnZxMUFMSyZcuo9GIxOnHiRH788UfCwsJITk6mWLFimJubo1KpcHZ25vz58/ny2ACCg4OpWrUqHh4eADRo0ABXV1f27t2re6%2Bw1KhRQ%2Be9CQwMZO7cuVR7cePX6hsaGkqrVq0A6NWrF9bW1gC8/fbbvPPOOzRo0AAAJycn3fcQFBREhw4dcHZ2BjTetx49erBr1y6aNm1KUlISpUqVolixYlhbW7N9%2B3a9%2B54TtVrNzp07mT9/PlZWVgDMnz%2BfpKQkRfv6/Plz9u/fT2hoKJMnT9a9b2NjQ8eOHQFISEjQGUTabYwfP55evXoRGRlJeHg4pUqVwsPDg2LFitG%2BfXuaN2/O06dPFekQFBTEkCFDdMfY19eXmzdvKvqsPgICAvjmm29yvTd2zBjGTZgg/%2BG1awu93XyMHGk8WQCjRhlP1sKFxpNlZyc/Z/58ZbLGji2aLnlRsuBv00aZLAeHoumSk7ZtjSdL6UJYKUoWiUp5cY80CsbczxfRGbIoecgBxj1mcsYUwJEjymQZ8362fLnxZIFx70E%2BPsaTpXT9MHGi/JytW%2BXnqFTKtvcSeBM9UsZGGFz/Efz8/JifZ6HSqlUr1uq5iZYrV05n8ACULFlSF9YVFxeHn58fZ86c0S2Cs7KyyMrKkjW4LC0tWbNmDZGRkZw8eZKzZ8/yv//9jyVLlrBx40bq1aunWP6TJ094%2BvQpY8aMQZXjJpOdnc2jR49wcXGhQYMGuLi40Lp1a9q1a4erqyul9Dzxu3//PjXz/ABXr15d5%2BUpClpvT2JiIsnJybz99tu6sdKlS1O%2BfHkePHige69KlSq6v83MzHTGpPb/2vC%2Be/fucerUKRo1aqQbV6vVOgPMx8eH6dOns379epydnXF1dc23j3mJj48nKSlJZ6wA1JP58d%2BwYQObNm0CoESJEtSqVYuVK1fm0ssmx9PAhw8folarc%2Bli92KR/eDBA6KioqhSpUou49De3p5Lly5J6qElMjIyl/62trbYynmRJBg0aBAuLi653qvo4QG//FLwh2rX1ixOvLzg%2BnXpDcgVF6lUSWNsrV8P0dHSc5V6uEaNgnXrICpKeq5cMZUaNTQLnWnT4PZt6blyhXnMzDTG1r178Py59NyNG6XHq1bVGFvffAMPH0rPBZCr0GpiojG2kpNBLhRV7jwtXVpjbP31F8g9RJDzMJYpozG2jh8HuYcicl5Bc3ONEXLzJuQI4S0QuTDjkiU1hsOVK5CaKj03NlZ6/K23NMbW6dOa70AKOa%2BmIfuZJxIiH8WLa4yt2FjIzJSeC/DokfS4IcdM7hopVUpjbIWFwbNn0nOnTZMeN%2BR%2BBvIeruXLYfx4zXcghxIPl9J7kBIPl48PLFkCOX6T9SL3m1KxosbY2rIF8kRI6GXz5oLH6tXTGFtDh2rODcF/FmFw/UcwpGiGlCfE29sbMzMzdu3aReXKlTl16hTDhw83SBdbW1sGDRrEoEGDSElJYdiwYaxevZqvv/5asXzzFyEh27Zto2HDhnq3s2bNGq5cucLBgwfZsmULGzZsICgoiLfyPKkuKEdJVcSnRdnZ2Vy5cgVnZ2fJPKic28m7zYK%2BC3Nzc4YMGYKvr6/e8QEDBtC5c2cOHTrEwYMHcXNzY%2BnSpZLVILXbyjbgUVXOohkFkTO8UO44pKen58uvktMn53yVSmWQ/nJYW1vrPI467t3T/JPj%2BnXNgkcKhaGSREdDZKT0HEP2OypKXp7SH/fbt%2BXnKlnEg2YhKTf3RU6kLA8fKpurNJ8vK0t%2BrkJvME%2Bfys%2BNi1MmKylJfm7ec7gg0tLkF%2Bggv%2BDXkppadMNSS3Ky/Fy58EQtSvZTSagmaIytFznOkij00is6ZnIGmZZnz%2BSNVLl7lBYl9zNQ5gm%2BeRMuXpSfp/T7VHIPUpiLzIMH8CKSpEBkokV0PH4sb7yBslDAK1f%2B0SGDwsNVdETRDEEuwsLCGDhwIJVfhEco9TykpKTg5%2BdHZJ5FnoWFBY6OjqS%2B%2BAFRKv%2Btt96ibNmyXL16Ndf72vC9jIwMUlJSqFevHp9%2B%2Bik7d%2B5EpVJx8uTJfLLs7Ox0oXpabt26VSTPCGiqAT558oQuXbpQvnx5SpcunWs7iYmJPHnyROfhMQQ7O7t8%2Bx4VFaUzPuLj4ylXrhz9%2BvVj1apVjB49msDAQEmZZcuWpUyZMtzO8aTw0qVLksVGDEV7THMeB%2B3fdnZ2WFtbEx0djVqt1o3nDAk0MzPTnSsAycnJJORYhNna2ubS/%2B7du2zZssVo%2BgsEAoFAIMiNKJpRdITBJciFjY0NYWFhZGRkcOzYMV3D3GiZcCcLCwuuXLnC5MmTiYiIIDMzk/T0dI4fP05wcDCdOnUyWP7gwYNZvXo1N2/eJCMjg%2B%2B//57%2B/fuTmprKhg0b8PLyIupF2NTNmzdJTEzUa9z06NGDyMhIAgICyMzMJCwsjF9%2B%2BYX33nuvUMcoJSWFgIAA5s%2Bfz7Rp06hUqRLFihWjd%2B/efPfdd0RFRfHs2TMWLVqEra0tjlIJswXQv39/QkND2bFjB%2Bnp6URERDBgwAD27dtHVFQULi4u/PHHH2RnZ5OcnMy1a9d0%2B25mZsb9%2B/dJTEzMJ9fd3Z1169YRHR1NfHw88%2BbN47qSMBKFlC9fHmdnZ77%2B%2BmsSEhJITExk2bJltGzZkipVqvDuu%2B%2BSkpLCtm3bSE9PJyQkhL///lv3%2BerVq3P79m2uXbtGWloay5Yto3SOEJZ%2B/frx008/cevWLZ4%2BfcpXX33FuXPndPv96NEjkpKSyFQSAiQQCAQCgUDwChAGlyAXs2bNYv/%2B/Tg5OREYGMiSJUto0qQJ7u7uxMrE4q9Zs4YmTZowfvx4mjdvjpOTE0uXLtVVpDNU/pgxY2jbti1Dhw6lZcuWHDhwgLVr11KyZEk%2B/PBD6tSpg5ubGw4ODkycOJHPPvtMb7U7GxsbvvnmGwICAmjRogWTJ09mwoQJuLm5KT4u2nLjjRo1om3btgQHB7Ns2bJcRTemTZtG/fr1GTBgAB07duTx48ds3LgxV8idUmrWrMnixYtZt24dzZs3Z9y4cYwcOZKePXtSuXJl/P398ff3x9HRke7du1O6dGnGjx8PaIyqY8eO0bVr13zhe5MmTaJx48b07NmTnj17Urt2bcYaufjAl19%2BSalSpejRowc9e/bEwsKCr7/%2BGtA04168eDEbNmzAycmJ3bt3M3ToUN1nO3XqRLdu3Rg8eDBdu3alYcOGVM2Rt%2BHp6YmbmxtDhgyhY8eOmJiY6MIu%2B/Tpw%2B3bt%2BnYsSMxMTFG3SeBQCAQCN5U/o0ervDwcLp06ZKv1Yw%2BNm/eTLdu3WjatClDhgzhYo6Q2OfPnzNr1izatWtHy5YtGT9%2BPPHx8Qbro1LnjO0RCASCN50X1RULpHFjTeWvDh3kcx5ePGgoEFtbmD5dU5nPGDlctrYwc6amiIWcvNOnpcfr1YOAAM0%2ByOVP/Pij9Li5uSY5//p1%2BRyuBQukx%2B3tNcdr%2BnRlOVwrVkiPm5hockkSEuRzuM6ckR4vU0ZTyfDECfkcLrliElZW0KsX7Nkjn8MlV/muVCl45x1N0Q9j5HCVLq0pdX3hgnw%2BklwxibJloUsXOHBAPodLrjiIIfspV1WwRAnNnKgoZTlcd%2B9KjxtyzORyuAwpNCJ3DzLkfqbddkE0bKg5X3v1Mk4OlyH3oBwFqwocX7wYJk2Sz%2BGqVUt63MZGU3lw2TJlOVyLFhU85ugIoaHQtKmyHK7XtGSX66JQGJRcVoVl9%2B7dLFmyhFq1apGUlMT27dsLnHvo0CGmTp3KunXrqFu3Lps3b2bz5s3s37%2BfUqVKsXDhQs6ePcs333xDyZIl8fX1JSMjgzVr1hikk/BwCQQCgUAgEAgEAr382zxcz58/JyAggCZNmsjODQgIwN3dnSZNmmBubs6oF21VDh8%2BTGZmJoGBgYwZM4YqVapQtmxZJk6cyJEjR2RTbfIiqhQKBAKBQCAQCAQCvbwMAykmJobHecrqV6xYMX/l4EIwYMAAxXMvXbpEz549df8vVqwY9evXJzw8nPr165OcnMw777yjG69Zsybm5uZcunQpV2sfWdQCgUAgUEx0dLR6%2BfLl6ujo6H%2BULGPLexNkGVvemyDL2PLeBFnGlvcmyDK2vDdB1r%2BN5cuXq%2BvUqZPr3/Lly42%2BjQEDBkjOeeedd9SHDx/O9d6kSZPUU6ZMUZ8/f15dp04d9dOnT3ONt23bVh0YGGiQLiKkUCAQCAzg8ePHfPPNN/mezL1uWcaW9ybIMra8N0GWseW9CbKMLe9NkGVseW%2BCrH8bgwYNIigoKNe/QXI5hy/YtWsXdevW1fsvKCjIYF3UMrlxcuNKECGFAoFAIBAIBAKB4JVhbW1d6PBBV1dXXF1djaJHuXLlcvX7BEhISKB27dpYvSiilZCQkKtFTWJiIuXLlzdoO8LDJRAIBAKBQCAQCN44GjZsyKVLl3T/z8rK4vLlyzRp0gRbW1ssLS1zjV%2B7do309HQaNmxo0HaEwSUQCAQCgUAgEAjeCLp37865c%2BcAGDJkCDt37uSvv/4iNTWV1atXY2pqSocOHTAxMWHgwIGsWbOGR48eER8fz5IlS%2BjSpQsVKlQwaJsmX3zxxRcvYV8EAoHgP0vp0qVxcnLKFWLwT5BlbHlvgixjy3sTZBlb3psgy9jy3gRZxpb3JsgSaOjWrRv/%2B9//OHPmDFFRUXz77besXr0aV1dXypQpw7x58%2BjRowfVq1enevXqWFhY4O/vz/Lly0lPT2fx4sW6CoTNmzfn%2BvXrzJ07l%2B%2B//546deowb948zMzMDNJJND4WCAQCgUAgEAgEgpeECCkUCAQCgUAgEAgEgpeEMLgEAoFAIBAIBAKB4CUhDC6BQCAQCAQCgUAgeEkIg0sgEAgEAoFAIBAIXhLC4BIIBAKBQCAQCASCl4QwuAQCgUAgEAgEAoHgJSEMLoFAIBAIBAKBQCB4SQiDSyAQCAQCgUAgEAheEsLgEggEAoFAIBAIBIKXhDC4BAKB4F9MXFyc7u%2BUlBQOHDjAlStXjLoNtVptVHnG4p%2Bq1z%2BBrKws3d/Z2dlcvnyZ%2BPj416hRbtLT04mOjiYqKor09PTXrc6/AnHM/v0UdM/KysoiKirqFWsjeJWo1OIXSyAQCArkr7/%2B4vTp01y/fp24uDjUajVWVlbUqVOH1q1b06RJk9em2%2B7du/niiy8IDQ0lNTUVNzc3ABITE5k8eTL9%2BvVTLKtbt27s27cv3/tJSUl069aNU6dOGU1vQzC2Xs%2BfP2f79u14enoCcPDgQQIDA6levTrjxo2jdOnShdZV3yLY1NS00PIKyx9//MG0adP4448/yMzM5P333%2Bfq1asALFmyhI4dOxokLyYmhj///FPvNdCyZUusra0VyYmIiOCnn37izz//5N69e7nG7OzsaNmyJUOHDqVevXqKdYuOjtarV6VKlQzax5dxnRtDt5dxzASGEx4ezs2bN3n%2B/Hm%2BsUGDBimW06RJE/7%2B%2B%2B987ycnJ%2BPi4sLZs2eLpKfgn0vx162AQCAQ/BM5dOgQX3/9NTdu3KB%2B/frUrl2b%2BvXro1KpiIuL4%2BDBg6xYsYLatWszYcIEgxexxmD16tWsWLECgF27dmFqasrOnTu5ceMGPj4%2BigyuU6dOcfLkSR48eMCSJUvyjd%2B/f79QT9PPnDmDk5NTvvefP3/OoUOH6NGjx2vRa968eVy7dg1PT09u3bqFj48PXl5eXLt2DX9/f%2BbPn2%2BQvJMnTzJ//nzu3LmTy6ukJSIiwmAd9aFWq1GpVIrmLlq0CB8fHwD27NlDbGwsJ0%2Be5OLFiyxYsEDxuXr58mVWrFjBkSNHKFeuHLVq1aJcuXKoVCoiIyMJCgoiPj6eDh06MG7cOOrXr69XTkJCAjNnzuT48eN06NCBYcOGUadOHZ2suLg4rl%2B/zpkzZxg4cCAdOnRg3rx5WFpa6pWXmppKQEAA27Zt4%2B7du6hUKiwtLVGpVCQmJpKdnU316tUZMmQIAwcOpGTJkgXuo7Gvc2PpZuxjBhAQECCpuxZDDIg3AX9/f3744QesrKwwNzfPNaZSqRQdr3379rFv3z4yMjKYNGlSvvGHDx9iYmJiNJ0F/zyEwSUQCAR5mDVrFseOHWP48OH0798fCwsLvfNSUlIIDAxk7ty5HD16lC%2B%2B%2BEKR/OTkZLZv317gE9PFixcrkhMVFUWbNm0AOHbsGD179sTExIS6devy8OFDRTIsLS159uwZWVlZXLhwId%2B4ubk5fn5%2BimTlxMvLS%2B%2BT3MTERKZNmyZrcL0svQ4ePMivv/4KaIxUZ2dnxo4dS3JysqxO%2Bpg9ezZOTk5MnjxZcmGvBGN58%2B7evct7770HwJEjR%2BjVqxclS5akRYsW3LlzR5GM7777jrVr1%2BLq6sqvv/5KrVq19M67ceMGAQEBfPDBB3h5eeHl5ZVvjpubG127diUkJISKFSvmG69ZsyYtWrRg6NChPH78mLVr1%2BLm5sbhw4fzzQ0NDWXSpElYWlri6elJy5YtqVmzps4YVavV3Lp1i9OnTxMYGMimTZtYtGgRTZs2zSfL2Ne5MXUz5jHT8u233xY4pkWpAeHp6an4AcDmzZslxw3x6rRo0eKV6aVl165dbNy4kdatWyuar48GDRpw//59fv/9d71e77p16%2Bo1xAT/HYTBJRAIBHnIzs5mz549suFlFhYWDB8%2BnAEDBrBw4ULF8r29vbl69SrNmjUr0iK9XLlyREdHY2pqyqlTp5gwYQKgCWXK%2ByS2IBo0aECDBg1QqVTMnDmz0Lpo%2Bf7771m3bh3p6ek4OzvnG09JSaFatWqvXC8tz58/p0KFCgCcOHECDw8PQPNdPn361GB5sbGxzJkzh%2BLFC/9zamxvXunSpUlKSsLMzIwTJ07wwQcfABAfH69Yz9OnTxMcHCwb/larVi1mzJjBqFGjmD59ul6Da9GiRTRv3lzRditWrMj06dPp2rWr3nFvb298fX3p3Lmz3nGVSkXNmjWpWbMmHh4ehISE4OPjw5EjR/LNNfZ1bkzdch6z%2B/fv671m0tPTuXz5Mg4ODpLHTMuhQ4ckxw3BwcFB93dqaiq7du2iWbNm1KhRg%2BzsbG7cuEFYWBhDhw6VlaUN79WiUqly5TppDSgTExMuXrz4yvTSYmpqqvj8LQhbW1tGjhyJSqVixIgRRZIl%2BHcicrgEAoFAhuzsbOLi4vQueqtWrWqwPEdHR37//XeD80zy8t133/HDDz9gYmJCvXr1WLNmDSkpKXz00UfUrVuX2bNnGyTPGHkK2dnZXLp0iSFDhjBv3rx842ZmZrRu3Zpy5cq9Ur1yzh80aBDm5uZMnz6do0ePYmlpyYkTJ/D39%2Be3334zSN7o0aMZN24cDRs2NOhzObl8%2BTI7duxg69atehd25ubmuLu7K/bALVy4kNOnT2NiYkLx4sUJCAggLS2NKVOmYGJiwtKlSw3WMS4uDisrK0BjNJ86dQpbW1uDc4cSEhJYs2YN06ZNA2DLli0EBARQvXp1fH19ZfPB4uPjJc%2BdxMTEfGF1CQkJlC1bVlLuhx9%2ByMaNG/O9n5KSgqenJ7/88ovk5/PqtnPnTl1OZU5SU1PZtm0bH374oWLdCsr7SUxMpEOHDno9wK8SHx8f3NzcaNeuXa73Q0JCCA4OZtmyZZKfz3lfPXToEL///jteXl7Y29ujVqu5fv0669evx93dHRcXl1eml5Z169aRlZXF6NGjFW%2B7IBITE/Hz86N37960b98egK1bt3L%2B/Hl8fX1lzwXBvxdhcAkEAoEEv/32G3PmzCEpKSnX%2B9qcmsLk6PTo0YOff/65wBAmQ7hw4QJJSUm0bt0aU1NTMjMz2bBhA8OHDzeoYMP8%2BfPZvHlzgXkKBw8eNEivsLAwGjdubNBnXpVekydPJjk5GW9vbwYMGEBCQgIdO3Zk/vz5BocV/vzzz2zcuJGOHTtSrVo1ihXLXfzXEIPQz8/PKN4fBVDCAAAgAElEQVQ8tVpNcHAwycnJ9OrVC0tLS9LT0/Hz82Py5Mm89dZbBskzZnGWcePGkZWVxapVqwgPD8fT05MvvviCixcvEhMTw/LlyxXLunTpEr6%2BvgQFBQEwYcIE9u3bR7ly5Vi1ahWOjo6KZISHh%2BPn58esWbPyVZG7d%2B8eW7duVWzUZGdnk5mZSYsWLTh37lw%2Bebdu3WLgwIGEhYXJyvr5558JDAwkPDxc77UUExODWq2WDCPMiZJwO5VKxaZNmxTJ09K0aVPOnDmTz3uakZGBk5OTQQZh165dCQwMpEyZMrnej4uLY%2BDAgYSEhLxyvcaMGUNoaCjFixenatWq%2Ba7xbdu2KdbJ29ubZ8%2Be4evrq/Na3rt3j6%2B%2B%2BooSJUro9XAL/huIkEKBQCCQwN/fn8GDB9O9e3fMzMyMInP69On4%2B/szatQoqlWrlm8RJGUo5c3NqlSpEpUqVSI2Nlb3Xu/evYmNjTXI%2B7Zz584i5ynkpEKFCsydO7dAz5TSRYqx9WrcuHG%2BPKmyZcsW2uO4evVqAPbu3ZtvTGk%2BjJaZM2caxZunUqno06cPT548ITIyEktLS0xNTZk7d65iXXJijOIsWs6cOaNbNAcHB9O5c2fc3Nzo3r27Qd4L0Bio2vC9kJAQzp8/z6FDhwgNDeWrr75i69atsjKSk5M5cuQImZmZrFmzJt%2B4ubm5LlRXCZs3b%2BbLL78EKPCBQ86wNym6du3KW2%2B9xaRJk/SG55qZmRUYvqgPd3f3AseSkpJYt25dvgdLSrC2tiYgIEAXnqslKChIb/6ZFPHx8XrP/ezsbBISEl6LXtrwZmNw8uRJjhw5kiuU3M7OjoULFxp8/gv%2BXQiDSyAQCCRIS0tj3LhxRcrRyYu3tzepqans3LlT77iU18zFxUVxUrgh3jdj5CnkxMfHh9TUVJydnYuUp2ZsvUBTAnzXrl1ER0ezatUqsrOzuXDhAt27dzdYljHzYuS8eUoNrujoaKZPn86JEycoXry4zns0cuRIVq1aha2trUF6GaM4i5bs7GydZ/fEiRN8%2BumnAJQoUYLU1FSDZF27do0ffvgB0BRD6dmzJ1WrVqVKlSrMmTNHkYxWrVrRqlUrPvnkE53xXBSGDx9O3759adeuHRs2bMhXXdLc3LzAao55sbS01J2ThTk386ItpJKXHTt28O2339KoUSNmzJhhsNwpU6bg4%2BPDqlWrqFKlCllZWURHR5OcnGywx6Zt27Z8%2BOGHDBkyhGrVqpGZmUlUVBQBAQG6c/BV6zV27FiDtitFiRIlSEhIyHdPjImJUXxfF/w7EQaXQCAQSNC7d2/OnDnDu%2B%2B%2BazSZq1atKvRnc%2BYYhYWFsWPHDjw9PbG3t9clhW/dupXhw4cbJHf48OFs2LDBKHkKAFevXuXo0aP5QoMMxdh6bd%2B%2BnYULF9KjRw%2BOHz8OwOPHj5k/fz4xMTEMGzbMYJlxcXEcPXqUBw8eAFC9enU6duxocMiosbx5c%2BfOxcrKisOHD9OtWzcArKyscHZ2xs/PT1G1upwYoziLloYNG7Jy5UrMzMyIiYmhQ4cOgOa8rlGjhkGyzMzMyMjIQKVScfz4cb766isAnj17RnZ2tkGyVq9eTVpaGocPHyY6Olp3/URFRVG5cmWDZFlZWXH06FHKly8PaLw2KpWq0Pk5bdq0Yf369UWuapqXy5cvM2fOHOLj4/H39y90awsXFxeOHz/O8ePHiY6OJj09HWtra959912Dvcb%2B/v6sXr2aLVu26Bo8W1tb065dOz777LPXptdPP/3Eb7/9xoMHD1CpVNjZ2fHee%2B/Rt29fg%2BS4ubkxYsQIBg8eTLVq1XSVK7dt22ZQIQ/Bvw%2BRwyUQCAR5yPn0MyMjg99%2B%2B42mTZvqDf/T9jsqDBkZGbonm5UqVTK4D0ufPn1Yv359vkIDDx48YPTo0QQHByuWZcw8BdA8TV%2B7dq2uImBhMbZeXbp0YeHChTRr1ozGjRvrcmkiIiKYMGEC%2B/fvN0jeqVOn%2BPTTTylZsqTOc3Tv3j2ysrL44YcfqFOnjmJZzs7OHD58mBIlShikQ16aNWvGsWPHKF26dK6CC2lpabRv354///zTIHlSxVnq1KmjuB0CwJ07d5g3bx5JSUmMHTuW9u3bk5CQQLdu3Vi%2BfDktW7ZULGvq1KnExcVRvHhxbt%2B%2Bzd69e8nMzOTLL7/k7t27rF27VrGs0NBQPvnkE8qUKcOjR4%2B4ePEiDx48oHfv3qxatcpgI/jJkyd88cUXHDt2TFcUwtzcnA4dOuDr66srQKIELy8vrly5UmBV0wULFhikW2JiIosXLyY4OJhRo0YxatQoozXo/qc0/85LUfRatmwZgYGBuLq6Ur16dQBu3rzJzp078fb2ZvDgwYr1yM7OZvPmzfzyyy/cu3ePYsWKYWtrS79%2B/fJVaxT8txAeLoFAIMhD3mRqOzs7YmNjc%2BVJAYUOAUlKSmL27NmEhISQmZkJaJ7W9%2B7dG19fX8W5Yg8ePKBUqVL53re0tNR5W5RizDwFgMmTJzNz5kyGDh2KjY1NPkNJqTfD2HrFxsbq%2Bh7l/P5q1apFTEyMwfK%2B%2Buorxo0bp6s6B5CVlcXq1avx9/c3qACBsbx5JUuWzFesATQLbX3NmeX46KOPaNGiha44C/y/8ZBzv5UQExPD%2BvXrc71XtmxZjh49qrj4g5Y5c%2BawadMmkpKSmDlzJiqVioyMDG7fvo2/v79BshYsWMD48ePx8PDQ5V7Z2Njg7%2B/PokWL2LFjh0HyJk6ciEqlYunSpbpcyvv377Np0ya8vb0NOi/OnTtnlKqmoHlAsWzZMpycnAgODi5UldW8GLP5d1ZWFgcOHCjQm2fIAy5j6RUUFMTatWvzhYL26tWLqVOnGmRwFStWjOHDhxscgSD49yM8XAKBQPCK8fHxISYmBi8vr1xPTNesWYODg4PiPIpRo0aRnp7OyJEjsbGx0eU7aBt6btiw4aXtgxz6yoVr%2B%2BsUtrqjMXBzc2Pq1Km0bt06l/fnl19%2BYe3atQaXhXdwcODcuXP5cvy0fcjOnDmjWJaxvHmfffYZ6enpeHt74%2BbmxvHjx7ly5QqLFi3Czs6ORYsWKdYJjFMyXUtBJc4fP35M586d9Y4VxMqVK3U5YDl5%2BvQpy5YtMygfKef3mFPH7OxsmjVrZnDp9SZNmvDHH3/kqwiZkJBA%2B/btDdpPY1U17devH48ePcLb21syH8pQI6xLly44OTnRtWtXvR44JycnxbJ8fHwICQmhbt26evMYlTYrNqZeBVU7zMrKwsnJifPnzyvWqaC8XS36WgkI/hsID5dAIBBIkJGRwcqVK3F2dtYVb9i9ezc3btxg7NixhQqXOX78OPv27csVVmRvb0/Dhg0ZPHiw4oXi//73P/z9/ZkwYQJpaWkAFC9enNatWxv8hB9gz5497Nq1i5iYGHbu3El6ejo//PADI0aMMNibZ2i59lel10cffcSYMWNwcXEhMzMTPz8/rl69yoULFwqVC2Ntbc2dO3eoVatWrvcjIyMNXiAby5vn6%2BvL1KlTdSXuW7ZsiUqlomfPnvj6%2BiqWoy2ZfvbsWbZv3663ZPqdO3cUyTJWQ2zQGC1xcXF8%2B%2B239OrVK59ed%2B7cISAgwCCDq2LFijx69ChfQZHw8PBCGTq2trakpaXlM7iysrIMLlpSlKqmObl06RKgOT/yNhfWUpiHIcZo/q3lyJEjBAUF5bueCoOx9KpduzaBgYH5PFlBQUG6B2ZKyfuwIysri4SEBCwsLKhataowuP7DCINLIBAIJJg3bx4XL16kZ8%2Beuvdq1arF1q1b8ff3V1wNLScmJiZ6n7iWKVOGZ8%2BeKZZjZWWlMxISEhJIT0/HysqqUAuMVatWERAQwKBBg3TlsZOSkti5cyfJyclMnDjRIHk2NjaAJpfl0aNHhW4MbGy9evbsia2tLb/88gutW7cmKiqKhg0bMmfOHN5%2B%2B22D9XN1deWjjz7Cw8ND9/lbt26xZcsWgyvLGasamqWlJWvWrCEuLo7IyEjMzMyoVq2awYaDMUumDxs2jGbNmjFkyBAmTZqUb1zbEFsJBw8eZOHChaSnp%2Bc6xjmNiK5duyqSpaVPnz54eXnx4Ycfkp2dTUhICFeuXGHLli2FKmYwfvx4Jk2axPvvv68raHPv3j1%2B%2BuknRo4cye3bt3Vz5cJri1LVNCdXrlxRvgMG4OTkxJUrV4rU/FtL2bJlFRvechhLr8mTJzNq1Ch%2B%2BOEHatasCWiu8cjISF27BKX88ccf%2Bd5LTk7m66%2B/NsrxE/xzESGFAoFAIMG7777Lnj17KFeuXK734%2BPj6d27NydOnDBY5pgxY7C0tGTy5Mk6L1dcXByLFi0iJiaGdevWFfhZfT/YBaHPk1AQ7du3Z926ddSuXTtXSFVkZCTDhg0zOL/GWKXJja2XsVGr1fz444/s2LGD%2B/fvk56ejp2dHX379mXkyJEGF0IprDfv7t27uqftORfz%2BjC0GqCxSqZDwWGAhpKVlUXLli3ZtWtXvjFzc3NdhUClqNVqvv/%2Be3bs2MG9e/cwNzfH1taWwYMH079/f4M9qfpCanNiSHitXFiqISF74eHhlChRQqdft27ddHmkDg4OhfLyGrP5986dO7l06RI%2BPj5FaidhbL1iY2MJDg7mwYMHumu8R48eRsmBA01Bm%2B7du3PkyBGjyBP88xAeLoFAIJAgKytL72IrIyNDb1K3EmbPns0nn3xCmzZtdGXTk5KSqFmzpmzJ%2BFGjRinahqGhQcnJydSuXTvf%2B9bW1sTFxSmWo8VYpcmNode0adNYuHAhgF7vSk4MXXCqVCo8PT2NUmGsKN68Pn366Cou9ujRI9eCXkth8%2Bfu379fiL3Rz%2BbNm/nwww/1FnsxBBMTE/r06aPzpBYVlUrFhx9%2BaHARkIIwZkhtToMqPj4%2B38MfpURERODp6YmPj4/O4Hr48CFz584lKyuLpUuX8ttvv%2BXy5ivBmM2/N27cyIMHD9iyZQvlypXLd%2B815IGTMfWqUKHCSy10ERkZSXJy8kuTL3j9CINLIBAIJOjatSuffvopI0aMwMbGBrVaze3bt1m3bp3BCxMtlSpVIigoiIiICN0TU1tbWxo1aiT72ZcVFlSnTh12796dr6/Mhg0bdGE0hnD69GldaXLtoql48eJMmDCB9u3bv1K9cpZZN0aJ6sDAQPr37w9AQECA5FxDFnUBAQE6b57WIK1QoQKrVq1i2LBhkgbX77//rvvbmIt9%2BP8qgoZ8bwUxceJEZs6ciZubG1WrVs3nATTE%2B3b8%2BHEiIyMNzonKydmzZxXNa9GiheycjIwM3blWsWJFybmGnIdPnz7lyy%2B/ZPfu3WRmZnLx4kUSEhKYOnUqCxYsUFxifvXq1bi7u%2BfqNVesWDFdQ2S1Ws0vv/xi8H1Nqvn3kydPDJJlTKOmKHp5enrqmmoPGjRI0sNpSGsKfbJSU1O5deuW7sGU4L%2BJMLgEAoFAghkzZrB48WI%2B//xzkpKSAE2ulbu7u6y3JCc5F2PanjA1a9bMZTRo3zdkMWasprsTJkzg008/ZevWrWRkZPDJJ59w7do1EhMTC9Wo2VilyY2h17x583R/Dx48mCZNmijevj7WrVunM7ikPHWGPkUvijcvZ2jTvHnz9OZcFZbq1avz%2BeefY2NjQ9WqVfPlCBriFdTmPOasBlnY6pX9%2B/dnzJgxtGvXTq9eSo791KlTCxxTqVQkJyeTnJysSK/mzZvrQl4bN24suUg3ZD/nzp2rCzUeMWIEoHmIYGFhgZ%2BfX66%2BgVL89ddf%2BYyDnNdo165dWbp0qWK98pKdna0LTwRNWHG/fv0MqtSpNf70UdgGz4XRK2ej%2B7Zt2xZqu/pwdnbWW/TE3t6eTp06GW07gn8eIodLIBAIFBIfH0%2BxYsWwtLQENIumvL1ZCiJn/lG9evX0LsYMXXQas%2BkuQFRUFHv27NHlsNjZ2dGrVy/Kli1rkBwwbmnyqKgogoODiYyMLLJezZs35%2BTJk0ZrxpqdnZ0vNwQ0oagxMTFUqVJFsazBgwczdOhQ%2Bvbtm%2Bt8Wb16NQcOHCAoKEiRnL59%2BzJ//nyjJeF//vnnkuOGNN6V6w9nSIigi4tLgWMqlapInr709HQ2bNjAd999R8%2BePfHz85P9zLlz53SVTI2Zd9WyZUv27t2LlZVVrvMiKSmJbt26cerUKUVy/o%2B9M4%2BLcX///2vkKFs5fo6tFMfaQVosRSmRVCrZCYeUSEQkJCnlhOynhGTJmkhJpIUsFZI2hBZapIg2Wmfm90ePub%2BNmeq%2BZ%2B4s53M/Hw%2BPh%2B77nmuue5qZ3tf7uq7XpaysjOTk5CZ9buqalnj9%2BjUcHR3x6tUrgc0UJSWlFrPA33Lnzh2kp6fzDSsuKipCZGQkkpKSvrtfV69eFaoeWFVVhQsXLtBWhsrw34YJuBgYGBhagMvl4t27dwILAN7cJDK0xmJs%2BvTpMDY2Fjp09/Hjx5SGqzbHt71AZCgrK4OjoyPRBM5isfikyXlB6/fm1KlTyM3Nxfz584WWtFENxJqaK1VRUQFdXV3SJWvA/wXQgwYNQmpqKrS1tfmyeWTfF15eXggPD4eSkpLQzA%2BV4bGtRUFBAQoKCsBisSAvL0/LUF%2B6uHfvHtzd3SEtLQ1nZ2diELIoiKvSCQDq6uq4e/cu2rVrx/d%2B%2B/z5MyZOnEj6O2j8%2BPEIDg5uUlCkoKAA8%2BfPR2xsLCX/FixYgH79%2BkFfXx/Lly/HsWPH8OzZM8TFxWHfvn2UPuuHDh2Cv78/Bg8ejNTUVKioqCArKws9evTA8uXLiVEH38MvXmZs1KhRSExMFMjYZ2dnY/bs2UTvZFMsXLiQ9PcnlTljDL8WTEkhAwMDQzMkJiZi9erV%2BPz5MwD%2B4GPSpEmk7TTeRQ4JCRE6J6uyshKOjo6kF9bZ2dkCYg0SEhJYtmwZpT/c4eHhiIyMBNCQHZkwYQJxLjMzE05OTpR3qemSJn/%2B/DkOHTqEt2/fChUpoZrF2L9/P%2Brr63Hu3Dmh58lmFyMiIhAREYG6ujqhpaXv3r2jrFCooaGB8PBwhIWFEYNfNTU1KWfzUlJSICsri5KSEoFeFaqBM4%2B7d%2B/ixo0byM/PJ4KkadOm8b2vyVBQUIA1a9YgLS2Nzyd1dXXs37%2BfciBOV0ktzzcPDw8kJydj7dq1IqkT8qBLpRMAVFRUsGvXLqxfv17AVyqZsnHjxuH06dNYu3at0PN79%2B6lpGzKIyMjAydPnkTbtm3Rpk0baGhoQENDA4MHD8bWrVtx4MAB0raCgoIQGBiIgQMHQklJCWfPnkVNTY1I87TE9ev06dPYuXMnADQZdCsrK7foR%2BNrqqqqEBISAjU1NfTr1w8cDgeZmZlITU0VafwAw68DE3AxMDAwNMOOHTtgbm4OQ0NDmJiYIDw8HOnp6QgPD6c0RBZoUKJ68%2BYNQkNDYWhoKLBj%2BvbtW0oqXHQM3T1//jx27doFIyMj1NXVYe3atXB3d8eUKVNw%2BPBhHD16lPJMIx6fPn0ipNJra2v5ghkyIgRAg6qgnJwc5syZA0lJSZH8aAxZdcSW%2BOuvv5Cfn4%2BbN28KzYoNHjyYUo8fj549e5JWomwKXrM/XQQEBGDPnj3Q0dGBqqoqgIZgf8mSJdi7dy/09PRI29q%2BfTt69%2B4NT09PyMvLAwCysrKwf/9%2B7Nixg1jgkkFYSe25c%2Bfg7u5OqaS2trYWR48exfHjx2FmZoabN28S6qGiQpdKJ9AwqNjGxgYjR45EfX091NTU8PXrVygrK5Pu3wKA5cuXY8aMGSgoKMCCBQsgLy8PNpuNrKwsnDhxAqmpqbh8%2BTLle5WSkkJVVRU6d%2B6MDh06oLi4GN27d4eGhgblOXmN%2BxglJCTAZrMhKSkJe3t7zJs3j9J7TVy/Fi9eDBMTE4wfPx7%2B/v5C7ZMZVN74e8De3h579uzB%2BPHj%2Ba6JiopCWFgYibti%2BFVhSgoZGBgYmkFFRQVJSUlgsVhQUlIiykeSk5Nx4MABnDhxgrStyMhIHDx4EK9fvxZ6XlJSEnPnzm2xZ4aHt7c3Ll%2B%2B3OTQ3Q0bNrRow9jYGBs2bCAaw2NiYrBz5060a9cO1dXVcHFxEWnX29fXF4cOHRIqkEGlT01VVRUJCQm09VzxqKurQ3FxMVgsFnr06EE5G8XD39%2BfEDIQFzqzea9fv0ZERARf5sfIyEgkRb%2BJEyfCw8MD6urqfMfv3bsHLy8vobOwmkJVVRX37t1Dx44d%2BY6XlZXByMiI0oYDHSW1vCHKf/zxB7Zu3dri/CyyqKmpESqdjcsAq6uroa2tjYcPH1K2mZqaivz8fEhKSkJeXl6owEpLvHjxAtu3bye%2B03iMHTsWW7ZsoTyjDQC2bNmCtLQ0nD9/Ho6Ojvj69Stmz56NlJQU3Lp1C1FRUaRtTZ8%2BHQsWLICZmRmmTp2K1atXQ19fH%2B/fv4ehoSGlHi66/CopKWmyDNPe3p5S0KuqqopHjx4JZOvq6uowevRoPH36lLQthl8LJsPFwMDA0AwyMjL48OEDunfvDmlpaUKGeujQoZSby/X09KCnpwdTU1NKi9SmsLGxgbS0tMDQ3blz52Lp0qWkbOTn52PcuHHEz5qamrC1tYWVlRVsbGxEzir5%2B/vDw8MDEydOFCszpauriydPnkBDQ0NkG40pLy%2BHi4sLoqKiCOUySUlJTJ06Fc7OzpR9tbCwQExMDO7cuYPi4mIADVkqXV1dgV3slqArmxceHo4NGzZAUVGRyCLdunULPj4%2B8Pf3p1wG%2BOnTJ6EZybFjx1Ke0dWhQwfU1dUJPcfhcCjZoqOkduXKlejatStGjhzZbIBGRRgEoE%2BlszGysrLo1q0b8fO7d%2B8AgNLwXUVFRZw7d44o9WWxWOjbt69YGb2tW7fi2LFjkJSUxJYtW7B27VqsX78esrKycHNzo2TL3t4eq1evxuTJk/H333/D3t4ef/75J96/f89X6vw9/erSpQvOnj0rIORRXFyMV69eUfKpe/fuuHjxIszNzfmOX7lypcVRAgy/NkyGi4GBgaEZeDv4N27cgIeHB168eAETExOkpaUhMzMT165dE8kuh8NBSkoKkWXp2bMnhg8fLnLPiKgIE31oSgiCCjo6Orh165bYman3799jwYIF6NOnD3r06CHw%2BlBdCNvb26O4uBhWVlZQUFAA0FDS5uvrC2VlZTg5OVGyx2vy19TURO/evQmBlQcPHsDS0hIrV64kbYuubJ6hoSFsbW0F5ilduXIFFy5cQGBgICV7pqamsLOzE1AFjI2NhZeXF6XPwIYNG1BSUoI1a9bwZWUPHDiADh064ODBg6RtTZ48GT4%2BPgIltVlZWbCysmp2DhOPQ4cOkfrM2drakvYLoFelMzg4GP/884/AYFxRB1n/7FRVVaF9%2B/YAGspG09LSICsrC319fcp9XHSwbds23L59GyNHjsTNmzdhZGSEFy9eoF27dnByciLKbMkQExMDe3t7dOzYEb169QKbzUZRUREqKiool%2Bcy/FowARcDAwNDC1y9ehWmpqb48uULXF1diQXA%2BvXrScvCNyY5ORk2Njb4/PkzOnfuDC6Xi8rKSnTr1g3e3t6kVdHYbDZu376N7Oxsvp1XHmQWia0VcAUHByM9PR3Lli0TS4Fu3rx5yM/Ph5KSktCsD5VyHqChdywiIkJgWGxRURHmzp2L27dvU7Z35MgRgUVXYmIiVqxYQUmlcP369ZgxY4bY2TxlZWU8efJEoEyyvr4e6urqSExMpGQvKioKa9aswdixY4m5cdnZ2Xjw4AHc3d2FSmY3RXl5OZycnPjKubhcLjQ1NbFr1y7SQ3wB8Utqa2pqKGcSa2trSQXEdKp0jhs3DgsWLMCECROEPjfv3n8UbDYbMTExePPmjdBSWKrBKl3Q5ZempiaCgoLQs2dPoqycy%2BXCy8sLcnJymDdvHiW/KioqcO/ePRQVFaG2thbdu3fH2LFjfyqlTgb6YUoKGRgYGFqAt6Ds1KkTdu/eLbY9R0dHTJ8%2BHdbW1ujcuTOAhgXakSNH4ODggIiICFJ2Nm/ejOvXr6N///6QkpLiO8disUgtKLhcLt68ecNX/iTsGNXejs6dOyMiIkJsNcAXL14gJiaG0kK8OSQkJIjd88ZIS0vj69evItkbPny4wPERI0ZQ7gtbv349Ldm83r17IyUlRSAIfPbsWZO9KM0xadIkBAUF4cqVK3j79i1RunrmzBlSKm2NkZaWxqFDh1BWVkaMWujTp49Iv19xS2qnT5%2BOnTt3kpZsT09Ph6OjI65fv97itXSpdAINn0crK6sfkt0hw5o1axAbG4s///xTIIAl%2Bz3E4/79%2B9i1axfxPvsWKtk8uvyqqalBz549ATR83nlB97Jly2BsbEw54OrcuTNGjBjx045FYGgdmAwXAwMDQwucP38e4eHhfH8gzczMYGJiIpK9ESNG4PHjxwK71TU1NRg9ejTp7BJveKcoWTYevCHMwv4U8I6LUrakpaWFCRMmYPz48UKzCDyRjpZYtGgR3N3diV4kcbGxsYGMjAwcHByIRf6nT5/g5eWF4uJi%2BPn5UbJ3%2BPBhsNls2NjYEAOQORwO/Pz8UFdXR6mkkK5s3oULF%2BDl5QVjY2O%2BjNS1a9dgbW0ttgqiuJSWluL%2B/ft85bTjxo0TWxmQKlFRUXBycsKIESMwe/ZsjB49WsCHiooKPHz4EJcuXUJKSgrc3d1Jj4O4dOkS/vrrLwwdOhRAw0DfoqIizJkzh5KfR48eBZvN/mmDLhUVFQQHB6Nv375i25owYQK0tLTE/t6g0y9zc3NoaGjA2toac%2BbMwYwZM2Bubo6MjAwsWLCAUsaYNxYhPT2d%2BM4VZywCw68DE3AxMDAwNMP%2B/fsRFBQEU1NTvp6fq1evYu3atZg7dy5lmxYWFlizZo1A6eCLFy%2Bwe/duoRLEwpg0aRLCwsIEsltU4KnYtYSsrCwlu6NHj0ZcXJzYC8QLFy7g3LlzmDBhAkOF7fgAACAASURBVHr27EkENTyoLl6LioqwYsUKvHjxglhcl5eXo3///vD29iZ%2Bx2RZsmQJUlJSICEhgT59%2BoDD4aCwsBB1dXUCsuQXLlxo1paysjJt2byYmBiBzI%2BpqalAXxcZqqqqcODAAdy%2BfZsvSNLV1cWqVasoleXxyhM7deqEXr16gcvlorCwEFVVVTh48CB0dHQo%2BSauYMnHjx/h5%2BeHoKAgfP36FT169ICMjAxYLBZKS0tRXFyM9u3bY9asWVi6dCmfaEVz7Nu3D9euXcO%2BffswYsQIAMDDhw/h7OwMAwODJmdhCePp06ewt7fH58%2Bf0bVrV4HMJ9VZdHRjamqKU6dOUZoV1xSjRo1CfHw8LYElXX6lpaXB3t4eISEhiIuLw5o1a9CuXTvU1NTA3NwcmzdvJm1r%2BfLlkJSUxOrVqwXGIsjIyFAai8Dwa8EEXAwMDAzNMH78eBw5ckQgi5SamgpHR0fcuHGDss2TJ0/i1KlT0NXVRb9%2B/cBms5GXl4eYmBjMnDmTr%2ByruYAiKioKT548gZ2dnVhBV2vw77//onv37pg9e7ZYdr4VamgMi8USebH54sULFBQUECVtwsoCyfDvv/%2BSvralEia6snmPHj0SOhC3pqYGMTExMDAwoGRv9erVyMrKwty5cwlhkIKCAgQGBqJ///6UhC4mTJgAS0tLzJ8/nwgcuFwuAgIC4O/vT/Q8keHgwYM4ceIELYIlbDYbqampyMzMRGlpKYAGdbqBAwdi%2BPDhlMtDtbS0cOHCBYGNinfv3mHevHmIjY0lbUtPTw/9%2BvXDuHHjhAa3omz60El6ejoOHz6MKVOmoHv37gKbImRn7gGAh4cHhg4dSqkv8Hv41Zjs7Gy8ePECsrKylEtq6RyLwPBrwQRcDAwMDM3Q1NwUNpuN0aNH48mTJ5RtNhdENEZYQPHtTKwvX76gtrYWv//%2Bu8Djf%2BQf7xUrViApKQmSkpJCM1MtZXvIwOFwBOy2xJIlS4TOTqusrMTChQsRHBwstl%2BiQlc2rynRk%2BLiYujp6VEWRFFWVsatW7fQvXt3vuPv37%2BHvr4%2BJXsqKip4/PgxLXOI6BQsoZuRI0fi7t276NChA9/xsrIy6OjoULrP1ppFRxcHDhyAr69vk2XJVMqRc3JyYGFhgd9%2B%2B01oHyNZuX%2B6/QIa5nEJE9%2BgIsuvqamJsLAwgaxbWVkZDAwMEBcXR8knhl%2BHn68YmIGBgeEnYuDAgQgKChLYRb5y5Qrl8jMeZOSqm2LdunUiP/Z7MnToUKJ3RRz09fWFioiUl5dDX18f8fHxpOw8e/YMaWlpePz4MQIDAwUWYbm5uXjz5g1l/969ewd/f/8mhxVTWSAePXoUAITKrLNYrBYDrpMnT8LPzw%2B1tbVCh1VXVlZCTk6OtD88unXrJhA4AA0iMlRnB%2Bno6CAuLk6g5C8xMRHa2tqUbNEpWEI3Y8eOxebNm7F8%2BXLIycmBw%2BEgJycH3t7elPqQAGDq1KmIj4%2Bn/Pp8L06dOgVPT0/o6uqKNT8OaMimysjIYPTo0WLbossvOmX5x44di3Xr1gkdi0B1Ph7DrwWT4WJgYGBohsTERFhaWkJWVpZPgCAvLw%2BHDh2iPNyWx/Pnz/HmzRuhSlx0lNP8aMQta4uPj0dcXBxOnDgBCwsLgfP5%2BfmIjY0lnWFMSEjAyZMncefOHaE70lJSUpg9ezYWL15Myh6P6dOng8PhNLlApCtAJpPN43A4ePbsGebNm4ft27cLnJeUlISGhobQbGhz3LlzByEhIbC0tETfvn3B4XCQm5uLEydOYNKkSXwZ25ayMPv27cOFCxegoqJClNPm5ubi6dOnMDEx4VOQtLe3b9YWnYIldPPp0yds2bIFd%2B7c4RNHmDRpEnbs2EFJrdDNzQ03btyAgoICevXqJfA%2B2LNnD62%2BU0VXVxc3btwQO0ACGjKgDx48EBrg/yi/6JTlb2osgpaWFnbu3EmbGivDzwcTcDEwMDC0QElJCcLCwvgECAwMDCiVkjRm27ZtuHDhAjp37ix0MUC2FJDNZuP48eO4evUqPnz4gMePH%2BPLly/Ys2cPHB0daVkAiYq4ZW3Pnz/H5cuXce7cOaE7v1JSUpg%2BfTrlfqQVK1bg8OHDlB7THCoqKrh//75AT4Yo0JXNS01NJT3LjQzDhg1DfX29QHkXb4e/MS3t9i9cuJDUc7JYrBazg3QKlrQWpaWlyM/PR5s2bSArKyuSCt2mTZuaPU91%2BDfdxMTEID4%2BHgsWLEDPnj0F3hNUSiFXrVoFa2tr0lL938OvsWPH4u7du7QqRNIxFoHh14IJuBgYGBia4dixY7CysqLVppqaGnx9fUVu2ubh4eGBR48ewcLCAs7OzkhNTUVpaSns7OzQr18/bNu2rdnH8yThyUC2bIZX1lZSUiJ05lNlZSVkZWVJzTICAHd3d2zZsoXUtWT5%2BPEj3rx5g%2BrqaoFzwkrxmsPS0hLr16/HkCFDRPaH7mzeu3fv4Ofnh6ysLKFljlSDj0ePHpG%2BVlhWkyxsNptSKSCdgiWtQXV1NW7fvo33799jyZIlABr63ngzncjy9u1bkcuXvwdqamqoqqoS2isFUJuddfjwYVy6dAkqKipCs3ktZT1bwy86ZfmNjY2Flgwz/PdhAi4GBgaGZtDU1ERoaCitO5D6%2Bvq4evWq0AG8VBg7diwuXboEWVlZvozShw8fYGZm1mKm7N69e8T/3759i4sXL2L69OlE2VhmZiZCQ0NhaWkJMzMzUj7RXdZWU1ODwMBAIjMSHR2NoKAg9O3bF7a2tpQzS8ePH8fevXvBZrMFzonSSF9UVAQrKysoKSkJbfIns9CnO5s3d%2B5cVFVVQVNTU%2Bh7jGrw8ezZsyb78cLDwylJza9cuRKurq4C8uqpqanYsmULQkNDKfkmDrq6uqQ3HKiqYSYlJWHFihWQlpZGYWEh0tPTUVBQgKlTp8LHxwcaGhqkbSkqKmL48OEwMTGBoaHhT5cNaSkgpxKEN5cBJZP1bA2/6JTlX7hwISwtLX/afjyG1oMJuBgYGBia4eTJk4iOjoahoSF69%2B4tsANPNSMCAHfv3kVYWBjmzp0rVK6YbKniqFGjkJCQAAkJCb6Aq7KyElpaWpSU0ObMmQNPT0/069eP7/irV6/g5OSES5cukbYFCC9rKysro1xS5ezsjJcvXyIwMBDZ2dkwMzODlZUVXr16hU6dOmHHjh2U7GloaMDBwQGGhoa0SOkvX74ccXFx%2BPPPPwVKOFksFqVsEl3ZPBUVFcTGxtI2SFhJSQmLFi3C6tWriTKsoqIiuLi4IDk5GQkJCaRt2dvb4/79%2B3BwcMCsWbNQXV2Nffv2ITAwEBYWFli1ahVpW%2BIKljT%2B3ZSUlCAwMBB6enp8Gw537tyBhYUF5d6%2BWbNmYdq0aTA3N4eSkhJSU1MBNASox48fx%2BXLl0nbevfuHSIjIxEZGYnU1FSMHj0aJiYm0NPTE3vThm4%2Bf/5MuUfweyCOX3TK8m/ZsgUxMTGQlZVF7969BTJmP7ofj6H1YFQKGRgYGJrB09MTAIRKTIuSEQEahg1HRUUJlJZQVb0aOnQo/P39%2BUoeq6qq4OXlRbkH4tWrV0IDPXl5eWRmZlKyBTQoyE2fPh1XrlwBANjZ2SEiIgK///47fHx8oKKiQspO49cpJCQEmpqasLW1RUVFBeX%2BLaAhA2dqakqbil18fDzCwsLEnp0FAA4ODggICBA7m9e3b1%2BhYiyicvnyZezYsQPGxsZwdXVFTk4O9u7dCwMDA9y8eZOSrb179yIxMRE7duxASEgI3r9/jwEDBiA0NBR9%2BvShZMvW1rZZwZKWaLxQXrp0KQ4dOiSwSZCYmAgfHx/KAdfr168JVcnGGZEpU6bAycmJkq3evXvj77//xt9//42SkhLExMTg6tWr2L59O7S1tTFr1iyMGTOGkk06%2BfLlC3bu3InQ0FDU19cjPT0dpaWlcHR0xD///EM5I/f%2B/XuEhYWhqKiIeK1E6Uuky6%2BSkhJcv36dFll%2BNpvNZLf%2BR2ECLgYGBoZmyMjIoN3m/v37YWVl1aTqFVk2btwIS0tLnDp1CrW1tTAxMUFeXh66du0KHx8fSraGDBmCLVu2wNraGrKysmCz2SgsLIS/vz8GDhxI2Td3d3dMmjQJwP8NaI6JiUFSUhJ2796Nc%2BfOkbJTU1NDlJ89ePAA5ubmABokyb98%2BULZLzMzM4SFhcHU1JTyY4UxYMAAWgQzgIbX7OXLl1i4cCGys7Nhb29PZPM8PDxIZ/McHBywZcsWzJ8/H7KysgIZ1G%2BzmC0xcOBAnDhxAsHBwViyZAk6dOgAPz8/0kHztygrK0NfXx8%2BPj5o27YtjI2NKQdbQMPMJroES5KSkoT24SkpKVHKFPP4448/UFhYKHBfaWlplBQKv6VTp07o2LEjOnXqhPr6erx58wZOTk74f//v/8HLy0uk11Fc3NzcUFxcDD8/P6IH8bfffkOnTp3g7u6OvXv3krYVHR2NtWvXQlVVFU%2BePIGTkxMKCwuxZMkSuLm5wcjI6Lv7Racs/48WOGH4cTABFwMDA0MLcDgcpKSkoLi4GCwWCz179sTw4cNJ9398y2%2B//QZLS0v89ttvYvk1ZMgQREVF4c6dO8jNzYWUlBTk5eWhqalJubnb09MTjo6OmDp1KnFfXC4XAwYMwIEDByj79urVKwQEBAAAX0lmr1694OrqStrOwIEDceXKFUhJSSEzM5OQII%2BLi0OvXr0o%2B1VfXw9PT0%2BcOXMGcnJyYktsL126FGvXroWxsTF69OghYI9KySld2Tze4vLOnTvEMRaLJdLcIB7BwcHYu3cvzMzMUFBQgK1bt8LFxYXy7KDY2Fjs2LEDPXv2xLVr11BYWAgXFxcEBgbCxcWFksS2mpoa8vLyxBIs4SEvL49Dhw7B2tqaCIgqKyvh5%2Bcn0uwyY2NjWFlZYcmSJeBwOIiKikJGRgbOnj2L%2BfPnU7LF5XLx4MEDXLt2DVFRUZCRkYGxsTHs7OzQv39/cDgc7N%2B/Hw4ODj9EjfHOnTu4ceMGX39Tx44d4eLiAn19fUq29u/fj71792LSpElERqtXr17w9vaGu7s7pYCLLr/atm2LjRs3ii3Ln5ycjKioKEhISEBfXx9//fUXaR8Yfn2YgIuBgYGhGZ4%2BfYqVK1fi8%2BfP6Ny5M7hcLiorK9GtWzd4e3uLJL%2B9evVqHDlyBMuWLRO7TOXr16%2BYMmUKgIYFYnx8PLKysjB48GBKdhQUFHDhwgV8/PgRRUVFqK2tRffu3SErKyuSX5KSkqirqwOLxcK9e/ewe/duwl8Oh0PajpOTExwcHFBRUQEnJyfIyMigtLQUtra2lPu3gIYyIx0dHcqPawqeapqwBn2qwQ1d2TyqAg8tMXv2bJSVlcHLy4soXQsKCsLKlSuhra2NXbt2kba1YcMGbNiwATNmzADQEOiEhobC29sbM2bMoJRN8vDwEFuwhIebmxvs7Ozg7%2B8PaWlpsNlsVFZWQlpaGt7e3qTt8Fi1ahU6d%2B6MgIAAsFgsbN68GX369IG9vT1mzpxJyZampiaqq6uhp6eHf//9F%2Brq6nz32qZNG6xevRqqqqqU/aQDFoslNGvHZrOF9tY1R15eHrGp0vgeR40ahfz8/B/iV1VVldjfGZGRkVi7di1Gjx4NNpsNf39/HD58WKQeYIZfE0Y0g4GBgaEZ9PX1oaenB2tra3Tu3BlAg/jDkSNHEB0dLXRuUkuYmJigoKAANTU1kJGREVgokp3DFRoaim3btiEpKQlVVVXEwOSysjI4ODgQi1qy0CVjDTSUO5aUlKBt27bIycnBjRs3UF9fj507d%2BLt27c4duwYZZuNKSoqQo8ePcSy8bMxZ84czJkzB1JSUti8eTNiY2MhIyODBw8ewMPDA%2BHh4ZTslZSUoLCwUOyZRvv27cPKlSsFNgdKSkqwY8cOSlnBpsYFAA19T1TKV%2BkULAEaMtlpaWl8Gw4jRoz4ofPsgIZs5%2BTJk4UKZNy%2BfRsTJkwAABQWFoqU9RWXFStWQFZWFuvXr8eYMWOQkpKCgoICeHh4gMPhwNfXl7QtQ0ND7NmzB4qKinxCQLGxsXBzc6O0mUCXXx8%2BfMAff/xB%2BnmFMXPmTCxZsoTI0F27dg1nz579YfPhGH4AXAYGBgaGJlFSUuLW1NQIHK%2BuruYqKSmJZPPKlSvN/iPLlClTuPfv3%2BdyuVzu%2BfPnuVOnTuXW19dzMzIyuIaGhpR8evLkCXf06NHcSZMmcYcOHcrlcrnc/Px8rrKyMjcuLo6SLS6Xy62qquIePnyYu2vXLm5%2Bfj6Xy%2BVyv3z5wrWwsOAWFhZSsvX06VPutm3buCtWrOByuVwum83m3rhxg7JPrWWPLlJSUriTJ0/mamhocAMDA7lcLpf7%2BfNnrrKyMjc8PJy0nffv33MtLCy4gwcPJn6XRUVF3KlTp3Jzc3Np9fnhw4ekrjt69Cjfz6WlpQLXLF68mNJzKykpcd%2B%2BfUvpMY2pqakh/Y8KFRUV3NjYWG5sbKzQx545c4ayr58%2BfeI%2BfPiQe%2B/ePeJfUFAQV1lZmbItuikoKOCamppyhw4dyh08eDBXVVWVO2TIEO68efO47969o2QrICCAq6Ghwd2zZw936NCh3BMnTnA3btzIVVJSovy60eWXsrIyl81mU3rub1FVVeXW1tYSP9fU1HDV1NTEssnwa8FkuBgYGBiawcLCAmvWrBEoHXzx4gV2794Nf3//H%2BRZg/w3rwTLxsYGw4cPx4oVKwTOkYFOGetvEUeSOTAwEJ6enjAwMEBoaCiRgZg1axYsLS2xaNGiH2qvpeHRovRLfQvVbN7KlSvRoUMH2NvbQ19fH6mpqaivr8eePXuQnZ2NI0eOkLKjqqqKpKQk4mdPT09s3LiR75rGWYjm%2BPY6YY8ja4vHjBkzcPTo0SYzZi1BZvA3l2Lf24sXL2BpaYmKigpwOBx07doVAQEBUFBQQE5ODpycnJCVlYWHDx%2BS9jMyMhLr169HTU0N0YsHANLS0pg2bRo2b95M2lZrkpaWhry8PEhKSkJeXl4ksR0AuHXrFi5fvkz0pfbp0wdz587F2LFjf4hfO3fuhJSUFCwtLUUWaKHj/c7wa8P0cDEwMDA0w/jx42FnZwddXV3069cPbDYbeXl5iImJwcyZM3Hx4kXiWp4MdEts2rSp2fNklax%2B//13FBUVoV27doiPj4ednR2AhgU61RlTdMpYA/RJMh87dgzHjh2DmpoaISjRo0cPHDlyBHZ2dpQDpNaw1xgOh4O3b98iLCwMlpaWlGwBDY31ISEhKCoqgo%2BPDzgcDp4%2BfUr06ZEhISEBd%2B/eRceOHYnfZdu2bWFnZ0dJaa2%2Bvp7v5/PnzwsEXGT3bL%2B9jo69XnEFS6gM0SWLl5cXDA0NsXHjRrDZbLi7u2P37t0YNmwYfHx8oKenh4MHD1KyuX//fri6usLQ0BAjR45EcnIy0tPT4efnR/o7pzXhcrlIT09Hfn4%2B2rZtCwUFBQwYMEBke5MnT8bkyZN/Gr/u37%2BP4uJiHD16FNLS0gIjJciWgDP8b8MEXAwMDAzNcPr0abBYLNy%2BfRu3b9/mOxcUFET8n8VikV78fNuwzQviCgsLKalwzZ07FzNnzoSEhATGjBmDwYMHo7KyEmvXrqW0QAfol7GmS5L548ePhBhA40BwwIABKC4upuwX3fa0tLSEHtfW1sbGjRspLRwbZ9/u3bsHoKF/ZMeOHSguLiYdDLZv315oQFNWVgY2m03an2%2BzP8JsklXq/PY6URU%2BGyOuYMno0aOJ/7u6usLFxUVsn549e4YDBw5AQkICEhISsLe3h7q6Ol69egUfHx%2BRRBLevXtH9GeyWCy0adMGSkpKWL16NTZt2oTAwECx/RaVhw8fwsnJCfn5%2BZCWlkZ9fT2qqqowaNAgeHh4UOof5HK5uHr1Km7evIn8/Hy0adMGf/75J4yNjYkREz/CL973lzjU19cLfOcJO8Z7TzP892ACLgYGBoZmiImJod1mU8FGcHAwXr58SdrOsmXLMHLkSFRUVEBDQwMAICUlBR0dHcqDWumUsQbok2RWUFBAQkICcX88wsLChA5q/t72mqJnz56UZ7jRlX1TV1fH5s2bsXbtWgBAeXk5MjIy4OXlJZbaGh1BEp3QOSPv3r17yMvLE3uOVVVVFd8GRZcuXdCuXTuEhYWJrEjarVs3ZGVloX///vj999%2BRkZGBIUOGQE5ODq9fvxbLX3HIysqCtbU1Fi5ciMWLFxOlnW/fvsWhQ4ewaNEiXLp0Cf3792/RFofDwfLly5GcnAwjIyOMGzcObDYbz58/x5o1azB58mTs2bOH1HuQTr%2BAhtl94qKqqipQ4v3tsZ/t88VAL0zAxcDAwNACL1%2B%2BxJ07d4g5XD169ICuri7pP9hkMTExgYaGhkDZVnN8KwXdtm1bLFu2jPJz0yljDdAnybxs2TLY2NhAV1cX9fX1xHDgp0%2BfUp6Z1Rr2GpeU8qiqqkJsbCzk5eUp2aIr%2B%2Bbs7AxHR0didteYMWPAYrFgaGgIZ2dnSj79rzBz5kzY2Nhg/Pjx6N27t8AcO3FK91gslljjH8zNzTF9%2BnQ8ePAA%2Bvr6WL58OSZOnIiMjAzK4x/oxM/PD/PmzcO6dev4jisoKMDLywv//PMPvL29SWWzz58/j7y8PISHhxOjEXgsX74cK1aswJkzZ7Bw4cLv6hcA1NbW4uDBgwgPD0dhYSFYLBbk5ORgZmYGa2trgVJWYfBmEjL878IEXAwMDAzNcP78ebi5uUFRURG9e/cGl8vFkydPsG/fPri6umLWrFmUbdbW1gocq66uRkREBKVhyHQKNhQUFGDJkiWEHHxjX1NSUqCsrEzaFtAg2rFr1y6sX7%2Be7zk8PDz4SrlawtDQEH369EFwcDA0NDTw/v17DBs2DK6urpSG5LaWPWECFJKSklBQUMDOnTsp2aIr%2ByYjIwNfX198%2BvSJEAuQk5MTqTS0rq6Or5Tw25/J8m35lLByKrLljt8upJuCSgDNK8u7ceOGwDkq5cKtweLFizFs2DB06tQJDg4OaN%2B%2BPdLS0tC/f38sX778h/n18OFD%2BPn5NXnewsKCKIVsiWvXrmHjxo0CwRYA9O/fH87OzvDy8iIVcNHpFwDs2LEDjx8/hqWlJRQUFAA0ZNECAgLA4XCwcuVK0rYY/ndhVAoZGBgYmmHs2LFwc3MT6CGIjIyEi4sL4uLiKNtsKlCSkJDA%2BvXrSZcD8vp8eHwr2EClf6gpxayysjLo6OhQUjwEGvpObGxskJmZifr6enTs2BFfv36FiooK9uzZQ3peUHh4OHR1dSmLgHwve3QSHh4OJycn6Orq4ubNm5g3bx5f9o1sKaahoSGMjIxgaGiIfv36iezPt%2B9TnmLft5AJ7MkslAFymYCWRGd4kBWfoRPe/KjGpKSkCBz7L8xfGjFiBJKSkgREJBrTWPG0OUaOHInIyMgm1Uzr6%2BsJwZDv6RcAaGhoIDAwUKDcNDs7G9bW1oiMjCRlh%2BF/GybgYmBgYGgGNTU1PHz4UKDEqL6%2BHurq6khMTKRsU1iTPy8LIarEdWPevn2LjRs34vz58y1ee%2BnSJQQFBSEtLU1A%2Bh4AiouLweVyBQRDyJKamor8/HyRJZnV1dVRU1ODCRMmwMjICFpaWmKVZ9Ftr7a2FhcvXiQCiujoaAQFBaFv376wtbWlLCOdlpaG4OBgPknsWbNmUcq%2BnTx5ElFRUUhKSsKgQYNgaGgIAwMDyv1Jwt6nwqCSsfyZ%2BfTpE2JjY1FQUACgIeM4YcIESpnBf//9l9R1tra2LV7D4XBw/PhxREZGok2bNjAyMiIduH4PyMiaizo24GexBQCjRo3CgwcPBL4namtrMW7cODx%2B/JiUHYb/bZiAi4GBgaEZtm/fDkVFRYE%2BptDQUDx9%2BlRkZbNPnz4R0uiVlZWIj4%2BHvLw8LT0ZNTU1UFdXJ5WVKisrQ3x8PNatW0fM8GqMpKQkJk2aRDlTYmVlBSMjI0yaNEmkUjYebDYbjx49QnR0NKKiovDlyxdMnDgRBgYG0NTUbHYX%2B3vY27JlC169eoXAwEBkZ2fDzMwMVlZWePXqFTp16oQdO3aQtkV39q2kpAQxMTGIjIxEQkICBg8eDCMjI8qCKuKyceNGODs7kw4%2Bv3z5gu3bt8PT07NVbTUmPj4eK1euRPv27YnANDc3F2w2GwEBARg0aFCLz1VTUwNJSUlSfvGora1tMuA/cuQIzp07h3nz5qG%2Bvh6BgYGwsLD47r%2B/phg2bBi2bt3abInp9u3bkZ6e3qItOoMkOv0CgL///hvKysqwtbUlSr7r6%2Bvh7e2NR48e4ezZs6TsMPxvwwRcDAwMDM2wefNmREREoHfv3sQcrtzcXBQUFEBbW5uvYZpsz0hoaCi2bduGpKQkVFVVEf0EZWVlcHBwwIwZM0jZaU6w4dOnTwgJCSFlBwBu3rxJWUq%2BOdzd3RETE4OPHz9CS0sLRkZGmDBhAtq3by%2BW3dTUVERGRuLOnTv48OEDEhISfqg9DQ0NXLt2Dd26dcO%2BffuQmZkJb29vVFRUwMDAgNKMHrqzb43hlSU%2BefKElmHMVNixYwciIiKwaNEizJgxA126dBF6XVlZGS5fvozTp09jypQpQsVj6LTVmOnTp8PY2Jivh5HNZuPw4cN4/PgxTp061eJ9GhkZYefOnaQlx9PT0%2BHo6Ijr168LPT9lyhTs3r0bw4cPB9BQmujk5ISwsDBS9lsbXV1dUteRUXodMmSI0P6txpSUlJB679LpFwBkZmbCwsIC1dXVkJOTAwBitteRI0eI3w8ZamtrifEAI0eOBNDw9yAzMxO2tra0fd4Zfj6YgIuBgYGhGcj2iwDke0YMDAywZcsWjBs3DhcuXMDZs2dx9epVZGZmwt7evskF2LcIW1jwBBvWrFmDIUOGkPa9pVIoMiVQwkhPT0dUVBQiIyPx7t07aGtrY%2BrUMbuNdgAAIABJREFUqZTn6gAN8uYxMTG4ffs2Hj58iD/%2B%2BIOQTxcFOuypqqoiKSkJQIPSnbm5OczMzMDlcoVKQTcHndk3nrhLVFQUoqOjUVJSAh0dHUyZMoWWobJUuXv3Lg4cOIAXL15g8ODBGDRoEGRkZMBisVBaWorXr1/j5cuXUFRUhJ2dXZPzzei2xUNZWRmJiYkCpcO1tbXQ1NQkVV4ZFRUFJycnjBgxArNnz8bo0aMhLS3Nd01FRQUePnyIS5cuISUlBe7u7k1%2BFpSVlfl6ljgcDtTU1Cj3U/4KBAcHk7qODol2UaitrcXdu3eRn5%2BP2tpayMvLY/z48ejQoQMlO1u3bkV6ejo8PT2JrOnz58/h5uaGwYMHw9XVtTXcZ/gJYAIuBgYGBhHgcrm4d%2B8exo8fT/mxKioqxKLJxsYGw4cPJ8r5Gp/7nnyrwsZms1FQUEAEDj4%2BPmI/R2pqKnbt2kUpy1JYWIioqChERUXhyZMn%2BPPPP6Gvrw8DAwORVAXptjdnzhzMmTMHUlJS2Lx5M2JjYyEjI4MHDx7Aw8MD4eHhlG3yEDX7tmnTJsTGxqKqqgo6OjowMDCAtrY25XK31iA1NRUJCQl4/fo1SktLATTMqho4cCDU1dWF9hF%2BD1uTJ0%2BGj48PBgwYwHc8KysLVlZWpLMhHz9%2BhJ%2BfH4KCgvD161f06NGDLxgsLi5G%2B/btMWvWLCxdurTZrI6wEjoqvUffk/j4ePTo0YP4DCUmJqKmpgbjxo37Zf169OiRQH9icXExunfvLrI/Y8eOxfXr1wXEQT5//oypU6fiwYMHIttm%2BLlhZOEZGBgYKJCXl4fLly/j6tWrKC0tJaWa9S2///47ioqK0K5dO8THx8POzg4AUFRURLl/5/Xr14iIiOBr9DcyMqIskCCsPJHD4cDX11esMpdvA5yhQ4diw4YNpB8/YcIEDBw4EFOmTMHWrVvFnn1Gtz0nJyc4ODigoqICTk5OkJGRQWlpKWxtbSn1b31LeXk5srOzkZubiw8fPuCPP/4g/djq6mq4uLhAR0eHliDL29tbqPT1ly9fsH//fjg5OZG2paSkRCkQ%2Bl62TE1NsWzZMpibmxOL8%2BzsbJw9e5ZSqW23bt2wceNGODg4IDU1FZmZmQLB4PDhwyn3Cv7MBAQE4MCBAzh06BDx2pWVlWHz5s1YtWoVFixYQMne9evXERISguLiYly9ehW1tbUICAiAhYUFpeHA4vplZWUlENzq6emJFfCy2Wyh91BXV0dpPiHDrweT4WJgYGBogZqaGty8eRNBQUF48uQJhgwZghkzZsDY2FigZIgMR48eRUBAACQkJDBkyBD4%2BvqisrISy5Ytw%2BDBg0kLcYSHh2PDhg1QVFQkhuzm5OQgMzMT/v7%2BRI%2BAONTV1UFbW5uy/L23tzeio6ORkZGBYcOGwcDAAPr6%2BpTmSQENGQY6B0zTba8pioqK0KNHD0qPoTP79vHjR7x58wbV1dUC5zQ1NUnZKC0txadPnzBt2jSEhoYKiBC8efMGdnZ2pOW1f2a4XC7OnDmDy5cv85WNmZiYYOnSpT8kQPpVJOZ1dXXh4%2BMjUML86tUrrFixAtHR0aRt%2Bfj44OLFi5gzZw58fX2RmpqKjx8/YsmSJZg4cSLWrFnz3fwSJh1PRU5eGM7OzsjOzoaFhQVkZWXB5XKRk5MDPz8/DB8%2BnCkp/A/DBFwMDAwMTZCamoqgoCCEh4dDRkYGxsbGOHnyJK5du0Y5g/QtSUlJqKiogIaGBtq1a4f6%2Bnr4%2B/tjyZIlpIcfGxoawtbWFoaGhnzHr1y5ggsXLhDDXMUhLi4Oa9asIS0RzmP27NmYMmUKpkyZQjnIasy7d%2B/g5%2BeHrKwsoTvAVBebdNtjs9mIjIxs0p69vT1pW0OGDCGyb1OmTBE5MDx%2B/Dj27t0rdJAwi8UiXc55%2BfJleHp6orKyEgCIgIvFYhH/nzx5Mg4ePCiSnz8DOTk5Ys0qa03olJhvTVRUVPDw4UOBTPjXr18xbtw4SiXS2tra8PPzw8CBA/nKJ/Py8rBo0SJK4ynE9as1Sjqrq6uxZ88ehISEoLy8HAAgLS2N6dOnY926dZQG3zP8WjABFwMDA4MQjI2N8fHjR%2Bjp6cHY2BijRo0C0PBHPDQ0VOyAi81mo7i4WGgGguwCUFlZGU%2BePBHYfRdlRpiwrEd1dTW%2BfPmCxYsXw9HRkbQtHnTc49y5c1FVVQVNTU2hCodUF5t027O3t0dUVBQGDx4sUA7KYrFw%2BvRp0rboyr5paGjAwcEBhoaGYkvMs9lsjBkzRqjipZSUFC1z434kQ4YMgZycHDQ1NTF%2B/Hioq6tTFkJoDeiWmG9Nli5dioEDB2LlypXo3LkzgIYM6/79%2B5Gfn4%2BTJ0%2BSttVYhKZxcFNTU4PRo0dTCnbE9au1e%2Bg%2Bf/6MNm3aQEZGhhZ7DD83TA8XAwMDgxByc3MxcuRIKCkpQVFRkVbboaGh2L59OyorKwWyBlQyEL1790ZKSgpUVVX5jj979ozyQnjdunUCx3iKh0OHDqVkCwCuXbsGNzc3se/x5cuXiI2NFal083vYu3PnDq5cuSIgtiAK7du3h5ubm9jZNw6HA1NTU1rK4CQkJIjAvaSkBIWFhaRlz38Frl69ioSEBMTFxWHdunWor6%2BHiooKtLS0oKWlRUnpk06mT59Oq8R8a7Jt2zasWrUKp0%2BfRqdOncDhcPDlyxcoKirC19eXkq1BgwYhNDQUJiYmfMf9/f0pb0bQ6Zc4xMfHQ0NDAwBaHBNBttyX4deDyXAxMDAwCKGyshKhoaEICgpCVlYWJkyYAFNTU9jb24ud4dLW1sasWbNgYGAgNAMhKytLys6FCxfg5eUFY2NjYjGSnZ2Na9euwdraGpaWliL59/nzZ7BYrCZnHJFh/PjxmD17ttj3aGZmhmPHjrU4o4csdNvT1dVFeHg4LcOK6cq%2BeXp6QlFREaampmL7BDQos23atAkPHjxA27ZtkZ6ejuLiYixduhQ%2BPj6UPgt5eXnYvXs3UYa4a9cuXLx4EQoKCti9ezelRTWdtoCGzPDTp08RHx%2BP%2BPh4pKeno0uXLtDS0hJLAEUU6JaY/x48f/4ceXl5aNOmDfr06SNSsMobQD1o0CCkpqZCW1sbr169QllZGXx8fARUA1vTL7p66Br3fTX33FQ2ohh%2BPZiAi4GBgaEFXrx4gaCgIFy7dg3l5eWYOXMmFixYIPLut5qaGh49ekRLBiImJkag0d/U1FSgr6slSkpKsG3bNty9exe1tbUAGkrGdHR04OzsjK5du1KyR9c9xsXF4fTp05g/fz5kZWX5Bk0D5EsTW8ve1atX8ezZM9jb24s91FlFRYWW7Ju7uzuuX78OOTk5yMnJCdwj2QHdPGxsbNCxY0fY29tDX18fqampqK%2Bvx549e5CdnY0jR46QtmVhYYE%2BffrA1dUVCQkJWLVqFXx8fJCcnIyEhAQcP378h9j6lqysLNy7dw/nzp1DXl4e6YG7ZFX0yAhJ0CkxTzd1dXVEvxHv%2B6IpqJY5FhUVISwsDLm5uZCSkoK8vDyMjIxIbQDR6df37qHjcDgCn1WG/w5MwMXAwMBAktraWty4cQOXL1/G48ePoaioiCtXrlC2s2HDBkybNg1jx45tBS9FY%2BHChWCxWFi8eDEhcpGfn49Tp06hTZs2OHXqFCV7dN2jsKBWlNLE1rJnamqKgoICfP36Fb///rvAgrulEqLG0JV9a2lYN9kB3TzU1NRw9%2B5ddOzYka%2BHpbq6Gtra2nj48CFpWyNHjsT9%2B/chJSUFFxcXcLlcuLm5oa6uDpqamj/M1ocPHxAXF0dktyorKzFy5EiMGTMGGhoapMqKG2c6SkpKEBgYCD09PfTt2xccDgeZmZm4c%2BcOLCwssHjxYtK%2Bsdnsn05ivvH7YMiQIUIDTVE%2BU%2BKOIGgtv%2BhCX18fERERAsfLy8uhr6%2BP%2BPj47%2B4Tw/eB6eFiYGBgIEm7du1gamoKU1NTvH37VqRgCwD69%2B%2BPTZs2QUVFRWgGoiVlu6tXr5J6nmnTppH2KTU1Fffv3yeay4GGBcvIkSOhra1N2g4Pce%2BRBxVJ6R9hj8rCuSUcHBywZcsWsbNvVAOqlmjfvr2AJDzQMNNImBJic0hISBABwv3797FlyxYADYvgurq6727Lw8MD8fHxKCgogJKSEsaMGYM5c%2BZASUmJciAzd%2B5c4v9Lly7FoUOHBOaEJSYmwsfHh9L7RkJCAioqKlBRUaHkT2vSOHtIRRimKXgjCI4cOQIjIyOB91tOTg4uXrzYYsDV2K9Tp05RmtvVGGFzCZvi26HxwoiPj0dcXBwKCgqwd%2B9egfO8CgWG/y5MwMXAwMAgAgoKCli7dq1Ij71//z7k5eVRUlKCkpISvnNkFgheXl58P5eUlAgVyaAScPXp0wfV1dV8ARfQsLsuSr%2BauPfIg2yv14%2ByZ2ZmRpstCwsLAA1CHDyoZN/ILtiolnipq6tj8%2BbNxPu9vLwcGRkZ8PLygo6ODiVbo0aNgqurK3777TfU1tYSIgEnT56kXKJLh62rV6%2BCzWbD0NAQY8aMgbq6Orp3707JD2EkJSUJ9UFJSYmSTPrPSuMZfyEhIfDw8BC4prKyEo6OjqT6rqKjo%2BHp6Ym6uromB01PnjyZkl9jxoxp8fqmIFsmy2KxSAVcMjIy%2BPr1K9hsttDfv5SUFNzd3Sn7yfDrwJQUMjAwMPziiDuMEwBu3bqFM2fOYMGCBUQJVG5uLs6fPw8TExMoKysT136PuUXCdoGFQTZTRrc9HrW1tTh48CDCw8NRWFgIFosFOTk5mJmZwdramlJPRkFBQbPnWwoWmyqh4iFqKVVZWRkcHR2JQJDFYoHFYsHQ0BDOzs6UZK1LSkpw4MABlJeXw9LSEsOGDUNZWRnmzp2L/fv3Y/Dgwd/VFofDQXp6OuLi4hAXF4fk5GTIyclBQ0MDGhoaGDNmjMAmBBlMTU0xfvx4WFtbo1OnTgAaAhA/Pz9ER0fj2rVrlG3%2BbOTl5eHNmzewsbGBr6%2BvQFbq7du32LVrF2kZdTpGEFBR%2BaNS7tsUz58/x19//UX6end3dyITy/C/BRNwMTAwMPwAXr9%2BjYiICGKRraCgACMjI5GySXTMhmkpIyBOn5MoLFy4sMVrqMy5otsej23btuHx48cwNzeHgoICgAbBhYCAAEybNk1oP0prQXY4tShKb0BDgJOfnw9JSUnIyckRgcR/iaqqKjx58gQJCQl4/PgxXr16hf79%2ByMoKIiSnZSUFNjZ2eHDhw%2BQlpYGm81GZWUlpKWl4e3tDTU1tVa6g%2B9HZGQkDh48iNevXws9Lykpiblz57bYU0gGDoeD%2BfPnt6gIGBwcTNomlew0l8vFu3fv%2BLLIRUVFsLGxIeaGkaGmpgaBgYHE91F0dDSCgoLQt29f2NraomPHjqRtMfxaMAEXAwMDw3cmPDwcGzZsgKKiIuTl5QE09ChkZmbC39%2BfryyGDHQEXC1lVxrTXKaF7A4zHbvLPwMaGhoIDAwUCJSzs7NhbW2NyMjIFm20VvatMWw2%2B4eIKwjz4/jx4wgJCUFxcTEeP36ML1%2B%2BYM%2BePXB0dKQ07JdOW43Jy8tDXFwcHj16hMTERJSWlor0%2BeJwOEhLS0NRURFqa2vRvXt3jBgxQmS/flZMTU2FZqVEobKyEt7e3khPT%2Bfrw/v48SNqampw7949yjY5HA5KSkogKSkpkgJoYmIiVq9ejc%2BfPwP4v0wxAEyaNAmHDh0ibcvZ2RkvX75EYGAgsrOzYWZmBisrK7x69QqdOnX67uMHGL4fTA8XAwMDQwskJycjJCQERUVF8PHxAYfDwa1bt5rsNWiJf//9F7t27RKQbr9y5Qp27dqFwMBAOtymBC%2BIKikpETp0l6dc2BL29vYiN6p/T1JTU/H%2B/XuiL6SmpkakhXB9fT169OghcFxOTo5QlGsJMj09VF7TgoICODg44O%2B//4a%2Bvj6ABmGDiIgI7Nmzh3QfW0slijy/nj9/Tto3T09PPHr0CMuWLYOzszOABinvrKws/PPPP9i2bdt3t1VeXo6EhAQ8ePAAcXFxyM/Ph7y8PDQ1NeHq6kq6F0hYD52ioqKAwmFtbW2LfXR0S8y3JiEhIcjIyCCy5AUFBYiMjISCggImTJhAyZaLiwtycnKgpaWF48ePw8rKCs%2BfP0ddXR3lcQYfPnyAs7MzHjx4gPr6egANpYmTJk3Cpk2bSI%2B62LFjB8zNzWFoaAgTExOEh4cjPT0d4eHhxPuOLFFRUUQ5aUhICDQ1NWFra4uKigoYGBhQssXwa8FkuBgYGBiaITAwEJ6enjAwMEBoaCixYz1r1ixYWlpi0aJFlG0qKyvjyZMnAhmH%2Bvp6qKurIzExkZI9OjJcwcHB%2BOeff1BRUcF3/EdKKDeHvb093r1712KJ0bdkZWXB1tYW7969A5vNRnp6OgoKCjBr1iz4%2BflR6scAgL///hvKysqwtbUl5v/U19fD29sbjx49wtmzZynZowNLS0v06tULa9euJRaVnz59gre3N3Jzc3Hs2DFSdprLeiYlJWHXrl3o3LkzwsPDSfs2duxYXLp0CbKysnzv2w8fPsDMzIxS5pMOW7NmzcLz58/Rrl07jBkzBlpaWtDS0iIyz1QgE6CS/Ty1lsR8a3DixAkcOXIECQkJKC0thZGREfr374%2BioiLMmDEDy5YtI21LXV0dN2/eRJcuXfh6U0%2BdOoXy8nKsWrWKtK3FixeDzWZj8eLFkJeXB5fLRW5uLk6fPg1JSUnSnwMVFRUkJSWBxWLx%2BZScnIwDBw7gxIkTpH1SVVUlShBnzpwJc3NzmJmZgcvlQlVV9T8hqMIgHCbDxcDAwNAMx44dw7Fjx6CmpkbsTPbo0QNHjhyBnZ2dSAFX7969kZKSAlVVVb7jz549E6kxvKamRmgpH5XFq5eXF5YsWYIJEyZQVrHjQbeUcnOoqanhzz//pPw4Nzc3TJw4EatXryZKN2VlZbFs2TL8888/CAgIoGRvy5YtWLp0Kc6fPw85OTkADRLPbdu2pTQQmEd8fDx69OhB3FtiYiKqq6spiQEkJyfj8OHDRAAIAF27doWjoyOluWjCMmElJSXYvXs3oqOjsWLFCsrv/7q6OvTs2VPgePv27fHly5fvbmvkyJGwt7eHmpqayO97HnTIo/NoLYn51iAgIICQYw8ODoacnBxOnz6NgoICLF68mFLAxeVyCZGS3377DV%2B/fkWHDh0we/Zs6OrqUgq4UlJScPfuXT7Rk0GDBmHMmDGU1DVlZGTw4cMHdO/eHdLS0sjLy0OfPn0wdOhQJCcnk7YDAAMHDsSVK1cgJSWFzMxM6OrqAmgYyN6rVy9Kthh%2BLZiAi4GBgaEZPn78SARGjXevBwwYgOLiYpFsLlq0CMuWLYOxsTH69%2B8PoKHn59q1a7C2tm7x8evWrRPpeZuDy%2BXCysoKbduK/meBbinl5jA3NxfpcampqTh27BjatWvH9/tcsGAB/v33X8r2Bg4ciKioKNy9e5eYpSMvL4/x48ejQ4cOlGwFBATgwIEDOHToEBFwlZWVYfPmzVi1ahUWLFhAyo60tDRycnIwaNAgvuMZGRlo3749JZ94cDgcnD59Gt7e3tDR0cH169dFkk8fOnQo/P39YWVlRRyrqqqCl5cXhg0b9t1tOTo6UnrO5mgsRuLq6goXFxda7P7sEvOfP3/G0KFDATRs8vBKrWVlZfHx40dKtoYPHw4XFxds3boVgwcPhq%2BvL5YsWYLk5GRwOBxKtuTk5PD161cBlcmamhqhgXpTTJ06FTNmzMCNGzegpaWFVatWwcTEBGlpacQmC1mcnJzg4OCAiooKODk5QUZGBqWlpbC1tWX6t/7jMAEXAwMDQzMoKCggISEBGhoafMfDwsJI9zV9y9y5c9G9e3dcvnwZSUlJxCLd1dVVoK/rW/z8/GBpaQkA8PX1xfLly0Xy4VsWL16MY8eOiRV0xcTEkLqupZ6f%2BPh44vVuKUtHJfMDAF26dEF5eTm6devGdzw3N1ek%2By4tLUWXLl0wadIk4lheXh7lYAtoKM06c%2BYM3%2BJ64sSJCAgIwIoVK0gHXAsWLMCSJUtgZGQEOTk5cDgc5OTkIDw8HGvWrKHs1%2BPHj%2BHm5gYJCQkcPnyYsqhLYzZu3AhLS0ucOnUKtbW1MDExQV5eHrp27QofH58fZotu7t27R2RCxEVeXh6HDh0SKjFPdcHfGnTv3h2ZmZmQkpLCo0ePiN65nJwcypL6W7duJfqi7O3tYW1tjWPHjqFNmzakRGNycnKI/1taWmLdunUwNzdH//790aZNG%2BTk5ODs2bOUMmXr16/HgAED0LFjRzg5OcHV1RWBgYGQlZXF7t27Kd2fkpISIiIi%2BI516dIFN2/eFNoLyvDfgenhYmBgYGiG8PBwODk5QVdXFzdv3sS8efPw8uVLPH36FHv27CFECb4Xqqqq2LdvH%2BTl5WFqaorQ0FCB%2BTc8qMzLevr0Kezt7fH582d07dpVoBdFlMZ8UaWUG/dJNCdXL0pvmZubGzIyMmBjYwMbGxtcvHgRGRkZOHz4MLS0tEg3wdfW1sLKygry8vLYvn073zkjIyMMGTKEcpO/iooKHj58KFDa9vXrV4wbN45SNiMqKgpXrlxBXl4eWCwW%2BvTpgxkzZhAlTGQoLi7Gzp07cf/%2BfaxatQrz58%2BnNFesKaqrq3Hnzh3k5uZCSkqKEKgQJeCl0xad%2BPr64vr16xg/fjx69%2B4t4A%2BVDO/PLjF/5coVbN%2B%2BHVwuFyYmJnBzc0NFRQVmzZoFAwMD2NnZiWy7vLwc2dnZ6NWrF6mAhNdH19LSlsp3x6NHj4SOUqipqUFMTAxlsQu6RZgYfg2YgIuBgYGhBdLS0hAcHEws6vr06YNZs2aJ1EMUHByMr1%2B/CpTErV69GtOnT2%2Bxt8DDwwMBAQFEQPTtV7io87L09PTQr18/jBs3TqhaX%2BOeEjLQKaVMJzU1Ndi9ezeCg4OJPp8uXbpgzpw5WLlyJek%2BngMHDiA6OhpHjhwR6L348OEDLCwsMGfOHNJZKaChV2fgwIFYuXIlkRn4%2BPEj9u/fj/z8fJw8eZK0LTpQUVFB%2B/btsXTp0mZ7C6dNm0bJbnZ2Ntq3b0%2B8bhkZGWjbti0GDBhA2Uc6bdFJc4Eti8WivIHxs0vMFxUVobKykiiR5nK5CA8Ph5GRESU7RkZGMDQ0hIGBgUjfr3SNt2hMU6JExcXF0NPToyRY1BoiTAy/BkzAxcDAwNAM4eHhLZb5kSUmJgZr1qyBi4sLZsyYwXfu4sWL2LlzJ06cOIERI0Y0a6esrAyVlZWYMmUKbt682eR1ZBcUQEPmLCEhQWzhAB7Tp0/HxIkTm5RSptL/Ex0djYkTJwJoCH5DQkLQt29fkTIuvMCPy%2BWipKQEUlJS6NSpE9hsNj58%2BEC6t8PAwAA7duyAioqK0POJiYlwc3NDaGgoad/y8vKwatUqYiYPh8PBly9foKioCF9f32Zfs4MHD2L16tUAWp7rRXaeV2sMiw4PD8emTf%2BfvTOPqyn///jrhsoYpslMaGUGZYamVBIRbdqMZRjZRZQY0cwISdrsjb1CmexrE02ytChLRaGphlCKSnuoqG53%2Bf3Ro/Mr93bvObebmO/n%2BXh4POqce94%2B93Zvnffn/X6/Xmuxa9cuSjL8woUL8Pb2xqZNmxhVC6QZC/i4Kg/CJObbQlqf2fZQX1%2BP69evo6SkBA4ODgCAkpISRrNSABAWFobY2Fjcv38fgwcPppIvabRmMiUsLAwhISGorKwUuuFQW1sLFRUVXLp0iXZMCwsLbNmyBXp6eq0q%2BY8ePYKrqyuuXbsmtfUTPi5IwkUgEAgiMDQ0xPXr1yWayXmfefPmwdraGjNnzhR6/vjx47h58yZt8Yn8/Hz079%2B/3esCmmYnzMzMYGJiIpV40pJS3rFjB65du4Zr166hpKQENjY2mDBhAvLz86Gjo8NY9KCt3eqamhqYmpoiNTWVVhxdXV2kpaW1aSbM5XJhYGAgsnWyLR4%2BfIiCggLIyMhATU1NZFtlM4sWLaKU4kQlSkwTJGljZWWFDRs2CKgl3r17F15eXrh8%2BXKnxOqIykNVVRUSExOpqkuzL1XzHJYopCkx39Hcv38fS5cuRa9evVBcXExZLdjZ2SEwMFBg/pUOVVVViIuLQ0xMDFJSUqCpqQlbW1tGioziXkNxrxuPx8O///6LmTNnCrQNA4CcnByMjIzw5Zdf0l5Ty9%2BLLX8XNTY2wsDAgLHqIeHTgSRcBAKBIIJTp04hNTUVkydPhrKyssANNpM5KUNDQ8TFxbV5w1VbWwtLS0skJSXRisdms7Fnzx5ER0ejuLgYLBYLqqqqmDJlCpycnBhVf3x8fHD58mVoaGigX79%2BAtcynUcaN24czp49CyUlJRgbG%2BPUqVNQU1NDY2MjRowYQXseacyYMThx4gTU1dURGBiItLQ0HD58GJWVlfjpp5%2BQkJBAK87Vq1dx9epVXLlyRWjl4%2BXLl8jLy0NKSgqteOJ%2BllVVVbCyssLdu3dFxmlsbKTk28VVNT5kJWPNmjXw9PREjx49aD3%2B7du38PX1xZYtW0Q%2BTldXF3fv3m0lWQ80PfcRI0YwuuGUZixpVx6Sk5OxbNkydO/enarOvHjxAlwuF8eOHRNQkHwfce%2BblgibL/qQTJ8%2BHZMnT8bs2bNbvXbR0dEIDQ1FeHh4u%2BI3z8veu3ePUXJ58%2BbNVt/zeDw8f/4cUVFRcHR0pEzPxZGRkSEgyS8pkydPhru7O4yMjFolXBERETh06BAjTzvCpwVRKSQQCAQReHt7A0CrP4SSzkmx2WyRN7Dy8vKoq6ujHW/Tpk1ITU2Fo6MjNDQ0ADQZ%2Bx47dgw8Hg/Lli2jHauuro6RN404pCWlXFtbS5nQ3r59m5oJ6d27N16/fk07znfffYfCwkJcuXJFaOKiqanJSG5fT08P58%2Bfb3PH/eDBgwJKgti6AAAgAElEQVQ%2Ba8LQ19enbrq0tbWF7sjTea/R9UBjsVj4%2BeefxT6uV69esLGxwbx58/DTTz9BQUFB6OPevHmD8PBwHD16lFbrnaamJk6cOIH58%2BdTz5XD4eDgwYOM566kGUva9g/bt2/HL7/8QrXXAU1Vz6CgIPj7%2B%2BPIkSMir%2B8oifmO4OnTp5QISMvXzsrKCh4eHozj8fl83Lt3D7GxsYiLi0NlZSXGjRuH3bt3M4ozZswYocdNTEywZs0akQnXmjVrqM0DcT8rJptRS5YsgYuLC0xNTcHhcODn59dKhInw34UkXAQCgSACSdT52qJ///5ITU1tc0f6%2BvXrjGYVrl69irNnz7a6ZvTo0TA2NoaTkxOjhGvz5s20H0sHUVLK27Ztox1HTU0NKSkp%2BOyzz5CRkYGdO3cCaJrlomMS3TLOokWLwGKxsHDhQqGPuX79Ou14zs7OmDdvHioqKjB79mxKtOH58%2BcIDQ3FhQsXcPz4cbFxmtsAgaYbO3FtZG3BxAONTsK1bt06GBsbY/fu3QgICICmpiYGDx6ML774AiwWC69fv8bTp0/x%2BPFjDBkyBL6%2Bvm3e4LbE09MTzs7OCA4ORr9%2B/cDj8VBUVITu3bszFgWRZixp2z88e/ZMoLWzS5cuWLJkCeOWTmlKzHcEX3/9NYqLiwXWl5mZSat9siVr165FYmIitQH0%2B%2B%2B/w8TERKriIH379kV2drbIx7SsmkqzsmxjYwM1NTVERETAyMgIJSUlGDp0KLy9vSUSCSF8OpCWQgKBQPhAHD9%2BHMeOHcP%2B/fsFduDT09OxdOlSuLi40BIrAAADAwPcvn1b4IaAzWZj9OjRtOaR6A7nd9ZgfkJCAlatWgU2m42lS5di%2BfLlePPmDaytreHi4sJIBbCZV69e4enTpwJy9X5%2Bfoyk12/cuIGNGzeiuLgY8vLy4PF4YLPZUFVVhbe3t8Bs0adKRkYGUlJS8PTpU6qqqKCggEGDBmHkyJGM263q6%2BupJEJGRgaqqqoYO3asRO8xacWStv2DpaUlAgMDBT7nubm5WLx4MW3POkC6EvMdQXNbs4ODA/z8/LBz505kZ2fjxIkTmDVrFiPPq1WrVsHKygrjxo1rd5IlrOpbV1eHxMREVFVV4eLFi%2B2KTyAwgSRcBAKBIAJTU1ORVQcmFTA%2Bnw93d3dERUXBwMAAAwYMAI/Hw9OnT5Geno7JkyczqjTNnz8fOjo6WL58ObUjy%2BFwsH//fty9excnTpwQG0PcYDmT1smOUMoDmp5TQ0NDq3bM9PR06Ojo0I7RTExMDH777Tc0NDS08uvp1asXJk%2BejHXr1jGKx%2BPxkJWVhcLCQgBNVcwhQ4bQrlQxMW4WZwLdkqysLCQmJqK0tBRycnLo27cvLCwsqPZMgiDStH/Yv38/wsPDMXv2bOr6Z8%2Be4cSJE7CyssLq1atpx5K2xLy04fP5CAsLQ3h4eKvXzt7eHtOmTRP7WXj%2B/DnVEt3SuFgYTGZmhb1ucnJy0NDQwMqVK2mJ0QBNn/ETJ04gISGBai/t27cvTE1NYW9vz6gq/fLlSxw%2BfBjPnz9HQ0ODwPnOFLQhdCwk4SIQCAQRnD59utX3XC4XL168QEJCAhwdHTF9%2BnTGMZOSkhATE0OZ0mpoaGDChAkwMDBgFCcnJwcLFy5EfX09NRdVWFiIrl274sCBAxg2bJjYGHSH8%2BkM5neUUl5JSQmioqJQWlpKzYRIOshua2uLxYsXw8bGBvr6%2BkhPT0dWVhZCQkLg6upK%2BQjRxcPDA/7%2B/gLHa2tr4e7ujv3794u8PiIigvb/NWXKFFqPO378OPz8/DBkyJBWgg1PnjyBj48Ppk2bRvv/lAZmZmZUUiAuwRSXVEozVkfC5/Nx/PhxhIeHo7CwEGw2G%2Brq6vjxxx%2BxaNGiNtUt/xd53%2Bj8feNiSWZmCwsLcePGDXTt2hUmJia0TJPbYsOGDYiPj4ednR2UlZUpQ/dLly7BwsKC0Xzd1KlTwePxMGLECKEVPCZzpIRPC5JwEQgEggRkZmZi7969OHjwYKeug81m48aNG61u6saOHSsVGfv2UFhYKFQcg81m4%2BHDh7SrU3FxcVi5ciX09PRw7949ZGZmori4GHZ2dvDx8WFsrKqrq0u1DbZUCcvJycG6detw9uxZWnEKCgqQn58PFxcXBAcHCxhQP3/%2BHNu2bWNkitoMj8dDZWUl5OTk0KtXL8bXm5qaYu3atbCwsGh1PC4uDv7%2B/oza2aTBxYsXMWnSJADiE0xxSaU0Y7WktLQUISEhyMvLE9pmS3eDIC8vj1EVhi7tkZjvaLhcLuLj45Gfny%2B0arN8%2BXKR1798%2BZKakxNnXEzHWzA1NRVLliyBkpISuFwuXr16hbCwMFobUMLQ1dVFeHi4QKUzJycH06dPZ9SGrKuri1u3btFW/yT8dyCiGQQCgSAB3333HW3PJmFcunQJFy9eRFlZGS5cuAA2m41jx45h4cKFjFpUZGVlYW5uLvE6mlm7dm2b52RkZNCnTx%2BMHTuWdqJka2srNNmoq6uDg4MD7ZuUXbt2YefOnTA3N6cqWv369cP%2B/fvh5%2BfHOOH66quvkJubi2%2B//RZffvklsrOzoaWlBVVVVTx9%2BpR2nOzsbOzZsweNjY1YtGiRwHk5OTnY29szWlt5eTk8PT1x%2B/ZtcDgcAE3Klebm5li7di0UFRVpxampqRGqOGliYsLYt0waNCdIQJMaoI2NDSNT7o6K1RJXV1fU1tbCyMgI8vLyEsextraGqqoqjI2NMXbsWIwcObLdmx/CJOZPnjwJPz8/WhLzHc3KlSuRmJiIb775RqBqw2KxxCZcLUVJfH19ERwc3K717N69GytWrKAUIkNDQxEQEMBYSKWZnj17Ct08UlNTQ8%2BePRnF0tPTQ0FBAe12RsJ/B1LhIhAIBBEIa0uqr69HbGwsHjx4gKtXrzKOGRgYiDNnzmDGjBkIDg5GRkYGKioq4ODgADMzM6xcuVIaS2fE%2BvXrERMTg%2B7du%2BO7776DjIwMHj58iIaGBowYMQIVFRV48OABNm7cKLIl7dy5czh//jwyMjLwww8/CJwvKysDn8%2BnrQioo6OD%2B/fvQ0ZGplVFisvlQk9Pj7FRaFhYGHbu3Inbt29j7969uHr1KszMzJCdnQ0ulyvQQiqOSZMmSW34fsGCBeByuViwYAHU1dXB5/Px4sULHD16FHJycjh06BCtOH5%2Bfhg8eLCAGuGFCxeQkZGBDRs2SGW9kjBp0iQ8efIE2trasLW1hZWVFZSUlDo9lra2NhITExmZ2AojOzsbKSkpSEpKQmpqKjgcDnR1dTFmzBiMGTNGohvtqVOnYuLEiUIl5lNTU8XKlnc0urq6iIiIkIoJ%2B48//ohNmzZh6NChEscwMDDArVu3qOTv3bt3GD9%2BPO7cuSNRvPPnzyMzMxOrVq2i7BFev36Nffv2QVNTk1FbeWlpKRYvXgxtbW306dNHYHNNXHJK%2BHQhCReBQCCIQNgNkqysLDQ0NLBu3ToBGWk6mJiYICQkBIMGDWqVRBQUFGDevHmM5MmlxY4dOyAvLw8XFxfK9JjH4yEoKAjdunXDkiVLcOvWLfj5%2BeHKlSttxnnz5g2Sk5Px66%2B/YunSpQLn5eTkYG5uTrvtysbGBgEBARgyZEir1yoxMRE%2BPj4SCQakpaVBX18fHA4H%2B/btQ2ZmJlRUVODs7CyRBDiXy0VZWRnq6%2BsFzjFpL9PV1cWNGzcEds2bK1b37t1r89qWsx88Hg83b96EkpISBg4cCBaLhby8PBQVFcHS0pKxBUBBQQG2b9%2BOPXv2AAC2bduGM2fOQENDA9u3b2c891ZQUIDY2FjExMQgIyMDurq6sLa2hpWVFe0qnrRjTZs2DQcOHGBkNSAODoeDBw8eIDk5GcnJycjKyoKCggLGjBmDTZs20Y6jo6ODtLQ0AXVCNpsNY2NjRibJHcGkSZNw5MiRNr3amLBjxw5ER0dDW1tbqCIjHbGdlr8nRB2ji6WlJUpLS8Fms9GrVy/weDzU1taiW7duAi2/4uYGnZ2dkZSU1GY1kOmGD%2BHTgbQUEggEgghE%2BbVIul9VU1ODQYMGCRxXUlJCVVWVRDHby9mzZ3Hr1i0q2QKaWgkXL16M8ePHY8mSJRg9ejRKS0tFxvniiy8oA1w6RrjimDVrFhYtWoRp06aBy%2BUiLCwMjx8/RnR0NCOlt2aio6Mp9bKuXbu2u5r4999/w8fHB7W1tQLvB6bG2Kqqqnj37p1AwtXQ0IC%2BffuKvPZ9GfT357e%2B//57fP/997TX0hIvLy%2BqlS0lJQXnzp1DcHAw0tPTsWnTplZeYnRQU1ODg4MDHBwcUFFRgdjYWERGRmLTpk3Iysr6YLFaKuI5OzvDw8MDs2fPhoqKikDlQZK5rK5du8LAwAAGBgawtbXFzZs3cfLkSURERDBKuJSUlJCfny8gMV9QUPBRzHD5%2B/vDw8ODqjC2/B0CgJEY0D///AMVFRVUVlaisrKy1TlJPerai7CNI0lJTk5GVFQUUQv9H4QkXAQCgSCCCRMmCG0brK6uxoQJE5CcnMw45uDBgxEZGYkff/yx1fHDhw8zrhZIq7rSrVs33LhxQ2AeLDk5mRIRSEhIoAx%2BxTF69GiEhoYiNzdX6CB9QEAArThz5syBkpISwsPDoaamhosXL0JNTQ1BQUES%2BVz5%2BPjAw8MD48ePh42NjcT%2BT81s374d8%2BfPh7W1tUSzPy1v%2Bh0dHfHrr79i9uzZ%2BPbbbyEjI4O8vDycOHFCrJeRtI2rW5KRkYHAwEAAwOXLl2FtbQ0DAwPo6OggJCRE4riPHz9GbGwsrl%2B/jpycHEYS%2BdKIZW1tLaCIl5CQQH0tiTpeM%2BXl5UhKSqKqW7W1tdDX14e9vT3jqvikSZOwZMmSNiXmO5u4uDjEx8cLrTYzVRa0trZut7Igl8vF2bNnW/1chR2j618mSnzFzc1NrAVGS5rN4An/e5CWQgKBQBBCcnIykpKS8Oeff2LhwoUC5wsLC5GYmCiyzUtU7GXLlmHw4MHIyMiAiYkJnjx5gjdv3iAwMJCWBDsAREZGwtfXF7W1tQD%2B3zNLkpvEc%2BfOYcOGDdDS0oKKigq6du2Kly9fIisrCytXrsSCBQswfPhwbN26lZZQxeLFi5GdnQ09PT10795d4HxHJgii4HK5uHv3LuLi4hAbG4u3b9/CzMwM1tbWMDY2ZizXraenh7t370os8y1MBlsYTH6e%2B/btE3me6ZyIoaEhbt26hW7dusHMzAzr16/H%2BPHjwWazMXLkSNy/f592rLS0NMTGxiIuLg6lpaUYNWoUrKysYG5uzrha095Y4hTxWkJXmMPf3x/JyckoKiqCtrY2DA0NYWRkBG1tbYnfIx%2B7xPzw4cPh5eUFU1NToVLndDY0pKksKMq3rBkm/mXNs51ZWVmtFCzLysrw5MkTRrNh0dHROH36NCZOnIg%2BffoIVAPbs%2BlA%2BLghCReBQCAI4eHDhwgPD8fJkyehr68vcF5eXh5Tp06FtbW1RPFLS0sRFRVFGYWqq6vD1taW0RyEiYkJpk%2Bf3mZ1hal627///oubN2%2BivLwcPB4PvXv3xsiRI6nn35bUuzB0dXVx5cqVdvnfFBQUUDMRFhYW%2BOqrr6hzDQ0N2LVrV7tV9zIyMhATE4OEhASUl5cjJSWF0fWrV6/G5MmTJaq2AR1z0//%2Bzj2Xy0VRURH4fD6GDx9OVavosnz5cigoKKBbt26IjY1FfHw8unXrhoMHDyIhIQEnT56kHWvYsGEYPXq0xElWR8Vqr59aMwYGBuByubC2toahoSFGjhwpsZBHR0nMSxtTU1NcvnxZaLJFlzlz5sDMzKyVsuDNmzclVhaUJhs3bsT169ehr6%2BPK1euwNbWFo8ePYKsrCw8PDwwfPhw2rFEiaZIUkklfDqQhItAIBBE4Ofnh/Xr10s15v79%2B7Fs2TKB42/fvsWuXbsoc19xtLe60pFYW1vj3LlzEt8Ep6SkwNnZGUpKSuBwOHj9%2BjWOHDmCYcOG4c6dO/D09ASfz0dMTIzEa6yurkZ8fDyuX7%2BOO3fu4Ouvv8bff//NKMaBAwdw8uRJ6OrqQlVVVWDHms6Q/4eAx%2BMhODgYsrKycHR0ZHRtZWUldu/ejerqajg6OmLo0KF48%2BYN7O3tsWvXLmhqatKOtW/fPqkpsUkjlrT91Hg8HrKyspCUlISkpCSkp6dDVVUVRkZGMDIygqGhIW0p8Wa7AmlKzHcE8fHxSE5Oxpw5c9C3b1%2BBWSs6FS5pKwtKE2NjY5w/fx59%2B/alTJr5fD527NgBVVVVzJw5s7OXSPgEIAkXgUAgvEdycjI1ZyFOdYpJC8jr169RVVWFyZMnIzIyUuDmLi8vDytXrkRGRgateO2trrQkOzsbO3fuRG5urtB5MHGvw/vcvHkT0dHRcHR0hKqqKuObsNmzZ2P8%2BPFUcrB//37cuXMHGhoauHDhAhwcHLBs2TLGu%2BrFxcWIjY1FbGws7t27h2%2B%2B%2BQYTJkyAtbW1gLEpHebOndvmORaLRdswF/j/9sK2aO/ud2NjI0xMTJCUlNSuOO3B2NgYkZGRjNUIOypWTEwM9uzZ06YHW7OfmiifOlHU1dXh3r17SElJQWpqKp48eYJvv/0W58%2BfF3ttR0jMdwR6enqoq6trsy2WzvtW2sqC0sTAwIDyXNTV1cWdO3cgKyuLN2/eYOLEibhx4wajeBwOB/fv30dRURFYLBbU1dWhq6vbaaIghA8DSbgIBALhPZp3MQHptoCEh4djy5YtQhXtmrG0tKTkt8UhzepK80yBqamp0JkrUYPjwtDX10ddXR14PJ7Q8%2BJet/d3vJtFB4YPHw5vb2%2BhKo900NLSwqBBg2BlZQUrKyvGIiUdyc2bN1t9z%2BPx8Pz5c0RFRcHR0RGWlpbtip%2BUlISVK1cylhHncrkIDQ2ljLpTU1Px9u1bBAQEwN3dnVHSGxYWhri4ONjY2EBZWVmgOstkA0OasaTpp/Y%2BBQUFSEpKwt27d5GWlobXr18zTiSkJTHfEYh7P9GZSf2YE67Zs2fDyMgITk5OmDFjBn766SfMnj0b2dnZmDNnDtLS0mjHys7OhpOTE8rLyykLgsrKSqipqSEsLIy2KBHh04MkXAQCgfAB4XK5MDQ0FHpzJy8vz8gHSJrVFV1dXaSkpLRrDqMl7b0JE3az1TIRlpTc3FypJ1klJSWIiopCaWkp1Q6akZEBbW1tqcR//vw51qxZg1OnTtF6vLBEo76%2BHm/fvsWCBQsYz735%2B/vj7t27WLhwITw9PZGRkYHXr1/D1dUVAwYMwMaNG2nHkuYGxsc6D1NdXY2UlBTcvn0bSUlJKCwshLq6OoyNjTFmzBgYGhoK3dSgS25uLiUxX1BQ8NHM/TQ2NqKsrAwsFgt9%2BvRh1Oo8dOhQbNiwodVGlK%2Bvr8AxusqC0iQzMxNubm64ePEitWkhKyuLhoYGzJ49G%2BvWraMda%2B7cuRgyZAhWrlxJtYe%2BefMGO3bsQEVFBYKCgjrqaRA6GZJwEQgEwns0t4%2BIg8ViCRXUkBQej4dZs2Z1ivnlrFmzsHnzZmhoaEg99qtXr/Dll18yukaaO95r1qzBli1bALQ2CBYGXbn6ZuLi4rBq1SoMHz4c9%2B7dQ2ZmJoqLi2FnZwcfHx9aio7iaGhowMiRI/HgwQNaj//rr78E2pPk5OSgoaEhkRfXqFGjcO7cOaioqLT6GZSXl2PKlCmM203/y0yfPh0PHz6ErKwsDA0Nqfa/9vgutSUx36yAOGTIECk%2BA%2BZUV1fDy8sLsbGx4HA4AJreb3Z2dvD09KS1iSNtZcGO5NmzZ3j06BFUVFSgo6PD6NqWLYkteffuHUxNTRmL9hA%2BHYgPF4FAILzH%2B5UjYbLdLBYLXbp0YWzUCjS1x%2B3fvx9ZWVlobGykjldUVAj1rBLF06dPcfXqVUrtTkNDA7a2tpRRLV0cHBzg7u6OSZMmQUVFpd1yxW/fvsXWrVsRGRkJDoeDrKwsvH79Gu7u7ti8ebNUZnjo0q1bN%2Brr9nhuCWPXrl34448/YG5uTlW0%2BvXrh/3798PPz49RwnXmzBmBY3V1dUhMTGR0wz516lTaj6VDY2OjUOPl7t274%2B3btxLFzMjIQElJCdUm2dDQIHF1VZqx2ou%2Bvj7c3Nygp6fX7veaMIn5GTNmtEtiviPYuHEjysvLsW/fPmrDJjc3F8HBwdixYwctEaD4%2BPiOXqZEsNlslJaWtvp9%2Bs033%2BDNmzcSSdYrKCigsrJSoHWwpqZG6r%2BbCB8XpMJFIBAI79HSayU%2BPh5XrlzB4sWL0b9/f/D5fDx9%2BhShoaGYOnUqrZ3Z9/n111%2BRl5eHMWPGIDQ0FIsXL8bDhw9RUVGBgIAA9O/fn1ac6OhorF69GkOGDKFuyPPy8pCTk4PDhw8zqr5Juz3L3d0dZWVlWLZsGRYuXIiMjAy8ffuWahESZxaqpaXVSgYeaEpI3z/GtLryzz//4IcffmB0jSh0dHRw//59yMjItKr%2BcLlc6OnpIT09nXYsYe%2Bl5srUypUrxYok1NXVYevWrYiJiYGMjAxsbW3h5ubW7hu5BQsWYPTo0Vi8eDH1HJv/r9zcXBw7dox2rNzcXCxfvhwvX74El8tFVlYWioqKMH36dISEhOC77777YLFKS0sp24Li4uKPbn5GmhLzHYmBgQGuXr0qsIlSWloKe3t7XL9%2BvZNW1j7evHmDWbNm4YcffhCYk5s6dSp69OiB0NBQRp8vPz8/3Lt3D05OTq1MrA8ePIghQ4YItSYg/DcgCReBQCCIwNLSEufPn0evXr1aHa%2BqqsLPP/%2BM2NhYxjFHjhyJK1euQEFBodVc0pEjR1BdXY1ffvmFVhwbGxssX74cNjY2rY7/9ddfOH36NM6ePct4bdLC0NAQly9fhqKiYqtEpLq6GhMmTEBycrLI6yMiImj9P5KIeSQlJUltN9nGxgYBAQEYMmRIq%2BeZmJgIHx8f2i1QhYWFuHHjBrp27QoTExOJ/Mu2bt2K27dvY/HixZTQhbm5OVxdXRnHakl2djalFllZWYlBgwahoKAAioqKCAwMZCQLP3/%2BfAwbNgwrVqyAvr4%2B9d5vFsBgkry1N1bL9q6PRaChJdKUmO9IRo4cievXrwvMpdXV1WHcuHEfhbS7JPj7%2ByM7OxsHDhwQkOOvq6vD4sWLYWRkJNTioy3YbDb%2B%2BOMPhIeHo6amBgDQo0cP2NnZYc2aNe2a7SN83JCEi0AgEERgYGCA6OhofP31162OV1RUwMrKipFCVTOGhoZISkpCly5doKenh5s3b%2BKzzz5DXV0dTE1NxSYjzejo6ODevXsC7UUcDgcjR44Uu7bGxkaq3a5lVU8YTBOUkSNH4saNGwI3s69evYKZmRnu37/PKJ60OHLkCF68eIFZs2YJVbZj%2BjyPHz%2BOwMBATJs2DYcPH8Zvv/2Gx48fU9XH2bNni42RmpqKJUuWQElJCVwuF69evUJYWBjjliVzc3McOHCAEgXJycnBsmXLcPXqVUZxhFFfX4%2BEhIRWRt3Gxsbo2pXZZEJbSQ7d96w0Y02dOhWvXr1Cnz59xFY%2BO2Ou8n3aIzHfkbi4uKBXr15YvXo1VeWqqqrCjh07UFZWhpCQkE5dn6SYm5tj3759bVaWHz16BDc3N1y%2BfFmi%2BNXV1WCz2ejduzeRhP8fgMxwEQgEggjGjBkDBwcHzJw5E6qqquBwOCgpKcGZM2cwevRoiWIOGzYMXl5e2LBhAzQ1NREcHAwHBwekp6e3KaMuDGVlZfzzzz8YPnx4q%2BP//vsvLbVDfX196iZVW1tb6B99Pp8vUUuhrq4utm3bht9%2B%2B406VlRUBH9/f1oy0W1hbW0t8Q0O0DRzxeFwcPLkSaHnmT7POXPmQElJCeHh4VBTU8PFixehpqaGoKAg2v5ou3fvxooVK%2BDg4AAACA0NRUBAAMLCwhitpby8vJUC48CBA1FSUsIoRlu8fPkSP/zwA6ysrAA0Vb3y8/MxcOBARnEUFBRQXV0t0Br64sULxslbe2MFBwcjOjoatbW1yMzMZDyn%2BKHp3r07NDQ0UFRUhOLiYpSUlLTpH/Yh8fLygouLC0aPHk11Arx58wYDBw5EYGBgJ69OciorK0VWb7W0tBh/vl68eIGYmBgUFhaiS5cu%2BOabb2BpaSnwHib89yAJF4FAIIjA398fQUFBOHHiBEpKSsBms6GkpISxY8e2SiaYsGHDBnh6egJo8spycnLCoUOHICMjw8g7a968eViyZAkmTpxI3Wg/e/YMf//9N5ycnMReHxoaSn195MgRqe6yenp6wsXFBfr6%2BuBwONDT08O7d%2B%2Bgo6Mjdn5LFC9fvmzXug4cONCu64VhaWnZLo%2Bsx48ft/pZzJw5EwcPHpTG0qRCdHQ01q5di127dlFzTtnZ2fD29samTZtgbW1NO9b48eOxYsUKuLi4gM/n49GjR8jOzkZQUBBjRcf2xlJSUsKCBQsANM3cLV%2B%2BnNH/L4709HRcvHgRpaWlCAwMBI/Hw7Vr16iklQ6iJOa9vb1haGgo1TVLgpKSEry8vHDnzh2oqakhPz8fxsbGGDp0aGcvrV189tlnePXqVZsCP2VlZYxaAA8ePIjdu3ejf//%2BGDBgADgcDuLi4rB161asWbMGM2fOlNbSCR8hpKWQQCAQOpnq6mo8e/YM/fr1Yzy7Ex8fj/DwcBQWFoLNZkNdXR2TJk0SmOvqLDIyMlBYWAg5OTmoq6tLbFjcjDS8uKRJTU0NwsPDkZ%2BfL1RhcvPmzWJjSEsCv6PMY62srLBhwwaBit3du3fh5eXFqOLY0NCA7du3IyIiglI4VFBQwIwZM7Bs2TJGLZ3SjAUIKn6qq6vDzs6OseInAJw9exZbtmyBtbU1IiMjkZmZidLSUkyfPh2Ojo6YN2%2Be2BgdITEvbe7cuQMPDw8UFRWhZ8%2Be4HA4ePfuHTQ1NeHv7/9JJ12//fYblJWV29wE%2B/XXXyjUnkkAACAASURBVGkJAAHAjRs34Obmhp07d2LMmDHUcT6fj/Pnz2Pz5s3YvXt3q3OE/xYk4SIQCAQRcLlcxMTEIDc3V%2BgNNZOKVDO2trawsbGBtbU1pVTVGWhpadGuatFptWNSfVJWVqb92JYEBQVh6dKljK/rKAW/efPmIS8vD9ra2kKlyOncjEkrUeooZUddXV3cvXu3lbw%2B0DT3N2LECEZKjM3w%2BXxUVlZCXl4en3/%2BOePrpR1LmoqfAGBhYYEtW7ZAT0%2Bv1SbBo0eP4OrqimvXromNsXXrVowdO1YqEvMdQW5uLn766SfMnTsXCxYsoNqYnz9/jr179yI%2BPh7nzp2TutH4hyIvLw/Tpk3D2LFjMXv2bAwYMABcLpd6T/zzzz84e/YsBgwYIDaWs7Mzxo0bB3t7e6Hnz5w5g0uXLjEyqyd8WpCEi0AgEETg5uaG2NhYaGpqQl5evtU5Fosl0R/IsLAwxMbG4v79%2Bxg8eDCVfNHZSd%2BzZw9WrFgBQPzNvLhk8ObNm9TXz58/x5kzZzB16lT0798fPB4POTk5iIyMhKOjIy01QGkncO8jTNiD7o1oRyn46erqIjY2ltbMXFsMHTqUkstvxtfXV%2BDYjBkzRMbpKGVHe3t7WFlZYf78%2BdTPl8PhIDg4GAkJCbRFG4qKiiArK0sJ0JSVleHo0aOoq6uDmZkZ7Zk3accCpK/4qauri/v374PFYrVKnhsbG2FgYCBRkvqxsXbtWigoKMDd3V3o%2Bc2bN6O8vLxdLcSdzaNHj%2BDr60v9LIGmBH/EiBHw8PCgrdA5atQo/PXXX0L97IAm38KxY8fi3r17Uls74eOCJFwEAoEgguHDh%2BPs2bOMxQHoUFVVhbi4OMTExCAlJQWampqwtbWl5kqEsWjRImre532D5pYwTQZnzJiBLVu2COzWPnnyBB4eHjh37pzYGM%2BePaO%2BzsjIQHh4OObOndsqgTt58iQWLFhAe%2BYpKSkJmzZtQn5%2BPrhcrsB5uolbRyn42dvb448//pC4YgcI9996HxaLRVtiXtr8%2B%2B%2B/cHZ2RmNjI/r16wcej4eioiJ0794dYWFhtCoYaWlpcHR0hJ%2BfH%2Bzs7MBms2FnZ4fGxkZoamrizp07%2BOOPPzB%2B/PgPGquZ9ip%2Bvs/kyZPh7u4OIyOjVglXREQEDh06hOjoaEbxPkZMTU0REhLSZpW%2BtLQUkydPpq26%2BjFTVVWFgoICsFgsqKurQ0FBgdH1dFqhP0ZrAoL0IKIZBAKBIAIFBQWoqqp2SGxFRUVMnz4d06dPx4MHDxAQEICtW7eKTLhaiits3rxZ6NrYbDYePnzIaC1PnjwRmjSoq6sjJyeHVoyWN16urq4IDQ1tZdSqpaUFXV1dODk50U64vLy8MGLECPz%2B%2B%2B/t8qjpKAW/7du3Y/Xq1Rg9ejT69OkDGRmZVucnT54sNkZ8fHy719GRfP/994iJicHNmzdRUFAAGRkZqKqqYuzYsbQrjHv37oWzszPs7OwAADExMSgvL6eqg1FRUQgNDaWVJEkzVjPtVfx8nyVLlsDFxQWmpqbgcDjw8/PD48ePqc/5f4HKykpoaGi0eb5Pnz7UbN2njqKiYpviGXQgsu8EknARCASCCFasWIGAgAC4ublJ1ZSSz%2Bfj3r17iI2NRVxcHCorKzFu3Djs3r2bdgxbW1uhO6J1dXVwcHDAgwcPaMfS0tLC%2BvXr4eTkBBUVFXC5XBQXF%2BPw4cMSCV0UFRUJmIUCwBdffEGJEtChoqIC3t7ejCXDPxRBQUFIS0vD48ePhc5w0Um4PgXk5eVhYWEh8fWZmZkICgqivk9MTMSYMWOoZMbc3BxeXl4fPFYz7VX8fB8bGxuoqakhIiICRkZGKCkpwdChQ%2BHt7d2pc5vS5v2K4PuQRKOJxsZG/PrrryIfw%2BFwPtBqCJ3Bx/kXjEAgED4S/vzzTxQVFeHEiRP48ssvBW4gmAoQAE2zD4mJiairq8O4cePw%2B%2B%2B/w8TEROgNuzDOnTuH8%2BfPg81mCx3CLisrY9zysmXLFri7u8POzq7VrMLAgQMZJYHNDB8%2BHC4uLli0aBFUVFQo/7KjR49CV1eXdpwRI0YgOzv7o1U7i46OxvHjxxmLKnzsmJmZUS2M4vyp6HwG%2BHx%2Bqw2LtLQ0LFy4kPpeTk6OtgedNGM1Y29vT/mp3b9/n1L89Pb2lljxc9iwYYzNq9tCGhLz0obL5eLs2bMQNZkirA34f5FJkyaJfcyPP/74AVZC6CxIwkUgEAgiENXeJyn19fXw8vLCuHHjaCdZLbG0tETPnj3x66%2B/Cr0ZlpOTg7m5OaOYGhoaOH36NCoqKlBaWkr5jamoqDBeHwBs27YN/v7%2BcHV1RX19PQCga9euMDIygr%2B/P%2B045ubmWL16NcaPHw9VVVWBlj1xQhLNNDQ0CLxWwo4xTaCVlZWhpaXF6JpPgWZhFgBid%2Bbp0KdPH%2BTm5mLgwIHIzs5GcXExjIyMqPP5%2Bfn48ssvP3islpiamtKap6NDaWkpQkJCkJeXJ1Tshcl8ZUuJ%2BWahm/LycmzatAllZWW0JOY7AiUlJQQHB4t9DIGePQThvw0RzSAQCIQPwPPnz6l5h7y8PJGPpSMzDABXrlyR2g63OEn39ohCvH79Gmw2G4qKioxbA0XdADMRkugoBb/ExERcvHgR06ZNEzrDRfdnKU1evnyJkJCQNq0MTp8%2BzSjeoUOHYGNjI3HyDTSpayYkJMDW1hYRERHo2bMnTp06BaBJoW316tXo3bs3fHx8PmisjsLe3h61tbUwMjISUDcFmCWx0pCYJzAjNTWV9mMNDAw6cCWE/wok4SIQCAQRNEuIX7hwAeXl5UhNTcXbt28REBAAd3d32hWqljdKzfLpLX/9Nn/PYrFoK%2B9xuVycPHkSCQkJKCsrAwD07dsXpqamsLe3ZzQ/IU7Snc6akpOTqUqDuEqRuDa1TwVh1S1JfpbSxN7eHnV1dTA2NhY6d7h8%2BXJG8SZNmoQnT55AW1sbtra2sLKyYly54HA42Lx5M5KSkjBgwAB4enqiX79%2BAABvb28kJSXh2LFjtOJKM1ZHoa2tjcTERIkqbe/zvyAx/7Hx/uda2O9roGmGLSsr64OujfBpQhIuAoFAEIG/vz/u3r2LhQsXwtPTExkZGXj9%2BjVcXV0xYMAAbNy4kVacly9fUlUicaIRdCsJXl5eiIuLg52dHZSVlcHn8/Hy5UtcunQJFhYWjIQDWkq6AwCPx6O8uRYsWEDL1%2Bj9pLItmCYiVVVVSExMpF43DQ0NjB8/vt2GudJAWj9LaaKrq4vExET06tVLajELCgoQGxuLmJgYZGRkQFdXF9bW1rCysmqXehvQ1H6nqKgoYKzc2bHaw7Rp03DgwIF2%2BbM1878gMf%2Bx0bINND4%2BHleuXMHixYvRv39/8Pl8PH36FKGhoZg6darU2lAJ/21IwkUgEAgiGDVqFM6dOwcVFZVWNzvl5eWYMmWKRKIZzs7OYmcf6KCrq4vw8HAB1bOcnBxKar69lJeXw9HRERcvXmx3LElITk7GsmXL0L17d8oY%2BsWLF%2BByuTh27BgGDx7cKesSRnuMmaXJlClTcOjQIXz11VcdEr%2BiogKxsbGIjIxERkbGf2KH/8KFC0IVJevq6nD69Gk4ODiIjdGyVTg3Nxfnz5/H7NmzoaKiIlA9ZtJqGh0dDQ8PD5iamuLKlSuYOXNmK4n5CRMm0I5FYI6lpSXOnz8vsIFRVVWFn3/%2BGbGxsSKvj46OpoRXIiMjiTjG/yhENINAIBBE0NjYiL59%2Bwoc7969u8QeMy9fvkRWVla7lfd69uwp1IdLTU0NPXv2bFfsZuTk5PDixQuJro2Li4OZmRmAJinvixcvon///pg1a5bArFNbbN%2B%2BHb/88kurG14ul4ugoCD4%2B/vjyJEjEq1NWkjLmFma/P7771i/fj1mzZoFFRUVqc6VPX78GLGxsbh%2B/TpycnI%2B%2BdZQHo8HDocDLy8v2NraCijuPX/%2BHDt37qSVcFlbWwu0niUkJFBfS9pq%2Br8iMf%2Bx8urVK6GzkDweD69fvxZ7vYeHBwYPHgx1dXV4enrC2tq6TWXHztigIXwYSIWLQCAQRLBgwQKMHj0aixcvpipcdXV12Lp1K3Jzc3Hs2DHGMXfs2IHo6Ghoa2tDWVlZQEjCzc2NVpzz588jMzMTq1atomTgX79%2BjX379kFTUxPTp0%2BnvaY//vhD4FhdXR1SUlLQs2dPnDx5knYsoOk5Xrt2DdeuXUNJSQlsbGwwYcIE5OfnQ0dHB%2B7u7rTi6OjoIC0tTeA1YrPZMDY2xt27dxmtS9pYWFhgxIgRsLS0FDovNWLEiA%2B%2BJmnPlaWlpVF%2BcaWlpRg1ahSsrKxgbm7%2BUbR1toewsDBs3bpV5GN0dHQoUQ5RMPGX64xWU4JkuLm54cmTJ5g5cyZUVVUpi4szZ85gwIABYm0zVqxYgWvXrtGaqe2MDRrCh4EkXAQCgSCC7OxsODo6AgAqKysxaNAgFBQUQFFREYGBgdDU1GQcc%2B7cuW2eY7FYtCWjLS0tKQn3Xr16gcfjoba2Ft26dRNofxHX%2BihsTXJycujfvz8WLVpEiRLQZcyYMThx4gTU1dURGBiItLQ0HD58GJWVlfjpp59a7fyLwtLSEoGBgRg4cGCr47m5uVi8eDHi4%2BMZrUvaCn66urpITU39qIyZpT1XNmzYMIwePfo/k2S9T1VVFcaOHYvDhw8LnJOXl8eQIUMYz4R5eHgItT%2Bora2Fu7s79u/fTzuWNCXmCcypq6tDUFAQYmNjUVJSQllmjB07Fr/99hutz8OjR49QU1ODhQsXCn2fNdMZGzSED8PH8xeCQCAQPkK0tLSoFqqCggLIy8tDXV0dxsbGEt1kFxYWwtraGl27doWJiQn69Okj8dqWLl0q8bXvI0mlThS1tbVQV1cHANy%2BfRu2trYAgN69e9Nqw2lm0qRJWLJkCWbPnk21Tz179gwnTpyQSBLfzc1NpIIfUz5GY2ZpV0%2BcnJwYKxvSgc1mUy1UPB4PlpaWYudhOiKWoqIiEhMToaCggC5dulAxsrOz0a9fP0bJVkFBAfLz8xEZGQkbGxuhLYpM5z5dXV1FSswTOpbu3bvDzc2NdueBMIYMGQIAOHjwIEmq/kchCReBQCCIQV5eHnp6elBTUwOLxULfvn0lSrZSU1OxZMkSKCkpgcvlYuvWrQgLC8OwYcMkWhdTz6j3OXPmDO3H0jUYbkZNTQ0pKSn47LPPkJGRgZ07dwJomuViotzm4uKCXr16ITw8HIWFhWCz2VBXV4e9vT0WLVrEaE1A0wySNBX8pGXM3F7MzMwoTzJxc1VMb/hPnz6NWbNmtVuNsCU1NTUYN24cxo0bB2dnZ8jLy6Ourq7TYj169Ahr1qzBrVu3wOFwMGfOHDx%2B/BhAU7vt%2BPHjacXJzs7Gnj170NjYKPT9KScnB3t7e0Zre/jwodQk5gmSkZ6ejosXL6K0tBSBgYHg8Xi4du0a402fUaNG4dSpU4iOjkZRURFYLBbU1dUxZcoUIqbxH4ckXAQCgSCCvLw8uLm5ITs7m9qtZrFYGDp0KAICAqgqDh12796NFStWUAP4oaGhCAgIQFhYmERre/jwIfbu3Yvnz58LbY8TZwp84MABWv8Pi8VinDi4ublh6dKlYLPZWLp0KZSUlPDmzRs4OTnBxcWFdhwWi4W5c%2BeKbMNkQv/%2B/YW2ZUlKUFAQAODy5csC5yR53SRlxYoV1NdMTHXp4OjoCFdXV9jY2EBZWZmqAjVDRzijqKgIe/fuBYvFgrOzMzQ0NHDt2jVERUXByckJAP0NBGnGambHjh1UBePSpUuoqKhAUlISsrKysHnzZtoJl4WFBSwsLDBp0iSpKXsOHjwYPB5PKrEIzDl79iy2bNkCa2tr3Lx5E0CTeuumTZtQVlaGefPm0Y61a9cunD9/HpMmTcLEiRMBNLVH%2B/v74927d4yTccKnA5nhIhAIBBFMnToV3377LRwdHaGiogI%2Bn4%2BioiIcOnQIz549Q0REBO1YBgYGuHXrFmWW/O7dO4wfPx537tyRaG1WVlZQU1ODsbGxUAPmzv7jzeFw0NDQgB49elDH0tPToaOjI/ba1NRUWv%2BHgYEBozUlJSXh6NGjHaLg9zHy6tWrdldGpOGpNmfOHBgYGEBFRQWHDh3CuXPn0KtXLxQUFGD58uUoKCjAmjVr8PPPP3/QWM20NBdetWoV1NXVsWrVKgDA8OHDcf/%2BfdqxpEFHScwTmGNhYYEtW7ZAT0%2Bvldfgo0eP4OrqimvXrtGONXbsWBw4cIBqMWwmIyMD7u7uQjduCP8NSIWLQCAQRJCbm4sTJ060mvfR0tKCj48PLTPglrDZ7FaJ0WeffYb6%2BnqJ11ZWVobIyEipSAk3NjZi//79MDY2hr6%2BPoAmz5icnBwsX75cov%2BjoqICUVFRKC0thYeHBwDQloMXpWLIYrFQU1ODmpoaxqpeCxcuBCAduW4AmDhxIv7%2B%2B29G13Q0b9%2B%2BxdatWxEZGQkOh4OsrCy8fv0a7u7u2Lx5M%2BPWwOzs7Hav6eHDhzh27BhYLBbq6%2BsRFBQEdXV17NmzB05OTtDV1cXatWtpJUnSjNVMjx49UF1dDTk5Ody%2BfRvz588H0JSwdoYgSkdJzBOYU1FRgeHDhwNAq2R34MCBKCsrYxSrtrYWgwYNEjj%2B/fffM45F%2BLQgCReBQCCIYPDgwSgpKRHYRa6srOx0011TU1Pcu3cPRkZG7Y7l6%2BuLrKwsyqATaLqhOHnyJPz9/eHt7c0oXlxcHFauXAk9PT3cu3cPHh4eKC4uhoODA3x8fCgRjbZoS32QzWbj8OHDOHjwIH766SdGa2pelzRRUFBAYmIiTExMpBq3Pfj4%2BKCsrAwhISFUgtmtWzd8/vnn8PPzE2oBQIeMjAyUlJTA0tISANDQ0CC0siqM5vfSyJEjwWKx8Oeff2Lo0KEIDQ3Fd999B6BJQfJDx2rGzs4O8%2BfPR5cuXTBgwADo6Oigvr4eXl5eGD16NKNY0kDa71OC5GhoaCAlJUXg92xUVBSUlZUZxRo0aBDOnz8v0H3w119/QUNDo91rJXy8kJZCAoFAEEFERAT%2B/PNPTJkyBf379weXy0VBQQEuXryIadOmoX///tRjxc2yDB06FBs2bGi1a%2B3r6ytwjO7cT0lJCebMmQM1NTX06dNHoNVo8%2BbNtOIATcPcly5dEmg/e/XqFezs7HD79m3asYCmyo%2BrqyvMzc1bteGkpKTAz88PUVFRjOIBwM2bN%2BHn54devXrB09MT2trajGNIm/Xr1yM%2BPh4qKipCPdUCAgI%2B%2BJoMDQ1x%2BfJlKCoqUt5xAFBdXY0JEyYgOTmZUbzc3FwsX74cL1%2B%2BBJfLRVZWFoqKijB9%2BnSEhIRQSY4onj59ik2bNqG4uBiDBw9Gt27d0LNnT2zcuBFAU3vWihUrEBMT80FjNcPn8xEVFYWamhrY2triiy%2B%2BAJvNhp%2BfH37//XdaRuKlpaWU6mhxcTFjK4W2kKbEPIE50dHR8PDwgKmpKa5cuYKZM2fi8ePHePDgAQICAjBhwgTasdLS0qj29G%2B//RZAk%2BpqQUEB9u7di7Fjx3bU0yB0MiThIhAIBBGIml9pCZ3WHlNTU1px6O5uz5w5E4WFhdDW1hZaaWBSyTA0NMTVq1cpA%2BVmysrKYGNjg7S0NNqxgCaz2Pv370NGRqbVTT%2BXy4Wenh7S09NpxyoqKoK/vz/S09OxatUqTJs2jZaJaDMdqeC3du1akeeZJL3SYuTIkbhx4wZkZWVbvfavXr2CmZkZ43mk%2BfPnY9iwYVixYgX09fWp5DksLAxxcXESWQo0CwSoqKhgwIABuHTpEubMmYPFixd3aqzKykoUFxdLJPOvq6uLO3fuCLzuktIsMe/i4oLg4GChEvPbtm1r9/9DEE9mZiYiIiLw4sULyMvLQ01NDdOnT6esKphQWVmJqKioVqqr1tbWjKtlhE8L0lJIIBAIIpDG/EozTE16xfHo0SPEx8dLRa7b0tISy5Ytw8KFCylxkLy8PISEhIht/xOGsrIyHj9%2BLDAcfuvWLdqy8Gw2GwcPHkRoaCimTJmCK1euSCTn3pEKfp2RUIlDV1cX27Ztw2%2B//UYda05aJfEAysjIwKFDhyArK9sq0Z0zZw727dsn0Ro/%2B%2BwznDp1CmfOnEFRURHc3d1btbN%2B6FilpaVYt24dbt%2B%2Bja5duyIrKwtlZWVYtGgRAgMDoaamJjbGgAEDMGHCBPTp0wdsNlukaA0dg%2B2OkJgnMOfdu3cYNmyYUPuOgoICWu%2BNlvTu3ZuaEST870ASLgKBQBDBkSNHhP5xrK2txfbt2xnPNkkTbW1t1NbWSiXh8vDwQEBAANauXYvq6moAQK9evTB16lSJkpRZs2Zh0aJFmDZtGrhcLsLCwvD48WNER0dj9erVYq%2BPi4vDli1b8PXXX%2BPUqVO0K43CmDRpEvV1S7lwaSj4AdLz6JEWnp6ecHFxgb6%2BPjgcDvT09PDu3Tvo6OhINL%2BloKCA6upqfPXVV62Ov3jxol2CEj169KBmzNpLe2P5%2BPhAUVER169fp1rEFBUVYWxsDD8/P1oWCsHBwYiOjkZtbS0yMzNpyeWLoiMk5gnMsbW1hbe3d6t2Pz6fjz///BN79%2B7FgwcPOnF1hE8F0lJIIBAIIjA3N8dXX30Ff39/quc%2BPj4eGzduRP/%2B/XH06NFOW9vp06dx8uRJjB8/Hn379pWa6e6rV68gIyODL774ol3ru3btGsLDw1u14djb29NSd9TS0oKioqJYMQqmFSZpK/i19OiJjIxEZmYmSktLMX36dDg6OjLy6JE2GRkZKCwshJycHNTV1YWqo9HBx8cH2dnZcHFxgYuLC86cOYPs7GwEBQVhzJgx8PT0lPLKPzx6enq4ceMGevTo0aodsL6%2BHiYmJoytG3bv3g1XV9eOWCrhA3P69Gns3r0bo0ePhoeHB8rKyuDh4YGGhgasX78ehoaGnb1EwicASbgIBAJBBGw2GyEhIThy5AhmzZqF/Px8pKWlYfXq1ZRxZWchaiaMySwYAGzatAm//vqrwCxYcXExNmzYgEOHDkm8TkloNrYVx/LlyxnFdXd3R1lZGdU%2BmZGRgbdv31LCJUwrQNL06JEWohT6ZGRk8NVXXzGqTDU0NGD79u2IiIjA27dvATRVvWbMmIFly5ZJxZagszE2NsaVK1fw%2Beeft0q4SktLYWtry3iGEWgS97h69SqKiooAAOrq6rCzs2PcgkbofGpqarBnzx78/fff4PF4WLp0KebOndsplgGETxPyTiEQCAQRyMrKwsXFBd988w1WrVqFzz77DCdOnGhXi5u0kOZMWEZGBmxsbODr60tVoI4ePYpdu3YxUuECmuYamsUnLCwsWrWiNTQ0YNeuXSJ9tgDgl19%2BYfgM6JGQkEAp%2BDUndD169ICXlxfj5wlI16NHWpiamopMVmVkZDBq1Cj4%2BflRqnqikJOTw/r16%2BHh4YHKykrIy8vj888/l%2BaSO52RI0di3bp1lNlxdXU1srOzsWPHDowbN45xvObW2SFDhkBdXR0AEBMTg6CgIBw%2BfJjyuiN8GlRWViI/Px%2BKiop48%2BYN8vLy8O7dO4lmSquqqqhKem1tLZKTk6GmpvZR/E0hdBwk4SIQCAQRVFZWYvv27bh58yY2b96MwsJCzJs3DwsWLICjo2On7u6L8xpionp1%2BvRpXLx4EWvXroWhoSFevHiB%2Bvp6HDp0CHp6erTjpKSkwNnZGUpKSuBwONi%2BfTuOHDmCYcOG4c6dO/D09ASfzxebcHUULBZLaLLA5XLR0NDAOJ40PXqkxYEDB7B7927Y29tj2LBhYLFYyMzMxPnz5%2BHs7Izu3bsjLCwMvr6%2BYkUvioqKICsri6%2B//hosFgs8Hg/BwcGoq6uDmZkZY/NvoEkMovnmsqioCDExMVBXV6el4tlRsTw9PeHu7g5ra2sATaqdLBYLNjY2ErVM7tu3D9u2bRMQ7/jrr7%2Bwbds2nD17VuT1HSUxT2DOtm3bcObMGTg4OCAwMBC1tbXYsmULrKys4ObmhmnTptGOFRkZiY0bN%2BL%2B/fuoq6ujvATfvHmD33//XSJvQcInAp9AIBAIbaKnp8dfvXo1v6qqijqWk5PDnz17Nt/CwqITV8bna2pq8rW0tNr8Jwlnz57la2lp8YcPH85PTU1lfP2sWbP4hw4dor7ft28ff%2B7cufz169fzhw4dyg8ICODX19dLtDZp4OzszPf19eXX1dXxtbW1%2BXw%2Bn19YWMhfunQp38nJiXG8S5cu8XV0dPhubm787777ju/r68ufM2cO//vvv%2BdfuXJF2sunxeTJk/n5%2BfkCx589e8afOXMmn8/n86urq/kjR44UGSc1NZX/ww8/8P/%2B%2B28%2Bn8/nNzQ08C0sLPjjxo3jOzk58XV0dPjx8fGM1nb48GG%2BoaEhn8/n81%2B9esUfNWoUf%2B7cuXxLS0v%2BgQMHOi1WM5WVlfz09HT%2Bo0eP%2BDU1NRLF4PP5/B9%2B%2BIHP4XAEjjc2NvL19PTEXq%2Bjo8NvaGjg8/l86n1K6BxmzpzJz8nJETh%2B%2B/Ztvrm5OaNYVlZW/Fu3bvH5fD7/1KlTfDs7Oz6Hw%2BFnZ2fzbWxspLJewscJqXARCASCCJqHpVvy7bff4vjx4zhz5kwnraqJ6OjoVt/zeDw8f/4cZ86cwYIFCxjFevLkCXx9fVFZWYljx46hoKAAv/zyC0xNTfHbb7/RVvN78uQJDh8%2BTH0/f/587N27FxwOB3/99ZfEwg3SQtoKfjY2NlBTU0NERASMjIxQUlKCoUOHwtvbWyKPHmnw7NkzoeIfX3/9NR4%2BfEh9z%2BPxRMbZu3cvnJ2dYWdnB6CpJa68vByxsbHo3bs3oqKiEBoaivHjx9Ne27FjxxAaGgqgyVRcVVUVR48eRVFRERYsWIAlS5Z0Sqy6ujqwWCwoKioKvHYtq2h0UVZWxj///EO1mzbz77//0rJFNLo01wAAIABJREFUkLbEPEFyTp48KfT4qFGjGBu4l5SUUH9Pbty4ARsbG3Tp0gWamppiOxYInzYk4SIQCAQhpKenQ0dHRyDZaklFRcUHXJEgwm7oBw4cCG1tbTg6OjKSkv7555%2BxcOFCODs7Q1ZWFvr6%2BjAxMcGmTZtgZWVFW6WNzWa3Et74/PPPISsr2%2BZNy4dGWVkZFy5ckJqCX3R0NExNTbFhwwYpr1RydHR0sHTpUixcuBDKysro1q0bioqKEBYWhoEDB4LD4eCXX34RaIN8n8zMTAQFBVHfJyYmYsyYMVTCYG5uDi8vL0Zre/XqFb7//nsATZ5szdL5KioqjD9P0ohVVVWF1atXIzk5GXw%2BH%2Bbm5ti6dSu6d%2B8ONpuNffv24fDhw8jKymK0tnnz5mHJkiWYOHEipW767Nkz/P3333BychJ7vbQl5gnMWLNmDbZs2QJAvHdfQEAA7bhffvklSktLISsri%2BTkZErJsrS0FPLy8pIvmPDRQxIuAoFAEML8%2BfMppTIA%2BOmnnxAeHt7qMQcPHsSyZcs%2B9NLEIicnhxcvXjC65ty5cwJJh6KiInbs2EEJYEgKHbVBUVy6dAkXLlxAeXk5Lly4ADabjWPHjmHhwoWMYzfvIn/11VetxDxevnwpkYKfj48PPDw8MH78eNja2mLMmDGdrtq3a9curFu3Dq6urmhsbAQAdOnSBfr6%2Bti9eze6du0KFRUVsX5ofD4f3bt3p75PS0tr5XUlJycntkr2PkpKSsjJyYG8vDzu3r2LjRs3AgDy8vLQs2fPDx5rx44dYLPZOHr0KNhsNnbv3o2dO3diwoQJ8PDwAJfLbZV00sXe3h5KSkoIDw/H/fv3wWazoa6uDm9vb1qmzEpKSlSVmsvlMlbjJLSPbt26UV9L8/Nsb2%2BPadOmoUuXLjA0NISmpiZqa2uxatWqTvPtI3wYSMJFIBAIQuC/55iRk5Mj9jEfGmEtcHV1dUhJScGQIUNoxYiOjoaNjY3ICs/ly5c7bYc9MDAQZ86cwYwZMxAcHAygSUHuwoULqKmpwcqVKxnFk7aC3%2B3bt3H37l3ExcXB19cXb9%2B%2BhZmZGaytrWFsbIwuXbowWp80%2BPLLLxEUFAQ%2Bn4/Xr1%2BDz%2BdDQUGhlU%2Bbv7%2B/2Dh9%2BvRBbm4uBg4ciOzsbBQXF7eqiuXn5zM2jnZycsL06dPB5/MxZcoUqKmpoaamBkuXLmUsGCCNWElJSThx4gRUVFQANFVAJ06ciNOnT2PBggVYtmyZgFUCXUxNTSUSAnkfV1dXIjH/gfH19aW%2BZur1J4olS5ZAX18fNTU11GdJXl4e48aNY9wGTvi0ID5cBAKBIISWXjzCvm/r2Idk7ty5Asfk5OTQv39/LFq0iJay2fvPwcjICMnJySIfIwotLa1WlSOgqfXy/WN0q2YmJiYICQnBoEGDWq2joKAA8%2BbNw/Xr12nFaSYxMZGWgl/Xrl3FKvgJIyMjAzExMUhISEB5eTlSUlIYx5AGmZmZyM3NFaq8SNcQe8%2BePUhISICtrS0iIiLQs2dPnDp1CkCTgfTq1avRu3dv%2BPj4MFpbaWkpamtrqVY7Pp%2BP6Oho2NraMoojjVjC3ttDhw7FhQsXMHDgQMbr6QiESczn5eUhJyeHSMx3IBMmTMDVq1dbHXNycsKBAwfaHTsjIwMlJSWwtLQE0GSXIWliT/g0IBUuAoFA%2BEQ5duxYu2O8v%2BfWbGwr6jGikOZuMNBkOCqs%2BqakpISqqirG8Xbt2oVdu3ZBQ0ODOqalpQV9fX14eHj8X3t3HhZluf8P/D2KgqJCaJgCg1iWlhKQIIIpCYnmEkquYalo4JILmUuaGkJaAZappChypExN7JAbKuaKIYgm0gE31FhcENlUdJqB3x/8mK/jDDIPPMNAvF/X1XXwmeHDjQye5zP3fb9vbN26Fa%2B99pryRkiI4uJiZGZm4u%2B//0ZeXh6ef/55wTXEEBwcjOjoaJiZmantC5FIJFo3XNOmTUNRURF27twJGxsblXj0kJAQXLlyRas9XMnJyRqvP/nzMzc3R3JyMhwdHeusVlWaNm1ab5otoPYR81QzN2/eVLtW2zdQrl69ihkzZiA3NxcKhQJpaWnIycnByJEjsXHjRrz66qu1qk/1FxsuIqIGqqioCOHh4ViwYAEA4KeffsL27dvRqVMnLF68GObm5tXWeHp5nabldkL2SQ0fPlzr52rj5Zdfxm%2B//YZhw4apXI%2BMjFTOagghVoJfpZs3byI%2BPh7x8fFISUlB586d4enpiVmzZuktpTA2NhabN2%2BuNhSjOgYGBlWeQeXv74/PPvtMZa9LVZ6eiZVIJCpNfOXrq2nTptWGU4hZq6HIzc3VeCj3sGHD8OWXX%2BphRI1DbfeeahIYGAh3d3fMnDlTOTNpYWGBjz76CCtWrBDlTTSqn9hwERFpoFAokJCQoLyZKysrU/lz5TV9Wrx4MRQKBYCKJWTffPMNli1bhrS0NAQFBWH16tV6Hd/evXsRGxuLO3fu1DjsYtasWZg%2BfTq2bt2Kf/75B1OnTsWlS5dQVFSEdevWCR6TWAl%2Bld566y106dIFAwcOxJIlS2rUBIqtMmVSl7TZ31YpNTVV%2BfHvv/%2BOuLg4TJkyBZ06dUJ5eTkuX76MTZs2YcSIEXVaCwDkcrnaXkhN1wICArSqV%2Bm///0vvLy81K6XlpZi27ZtmDhxota1ahsxT/VHamoqIiIi0Lx5c5V/A318fGq0hJkaDjZcREQayOVy%2BPr6qlx7%2Bs%2B6eAdUiKSkJMTHxwMA9uzZAw8PD3h5eWHgwIGibNavDbHCLnr37o39%2B/djz549eOWVV2BkZIQ%2Bffpg8ODBMDU1FTwusRL8Ku3du7deNFlPmjBhAiIjI7WKH68LT6a8hYWFYefOnWjTpo3ymr29PQIDAzFq1KhqX7di1gIABwcHnDt37pnXhPyel5WVQS6XY%2BnSpRg8eLDactwbN25g1apVghqu2kbMU/1hamqK4uJitT2tf//9t6B0VGp4%2BNMlItIgIyND30OoVllZGVq1agWgIi2vMqK%2BWbNmKC0t1aqGQqHAjh07lDeGT/%2B58ppQ27dvV4ZdVG4yb9euHdatW4cPPvhA64Zr7dq1mD59ulqz%2B%2BDBAwQHB2PRokWCxiVWgl8lKysrhISEYN%2B%2Bfbh58yYkEgksLS0xfPhw%2BPn5qdStK2fPnsXZs2cRHR2Njh07qo1BnwflFhQUaAzyKCsrQ2FhYZ3XEnsJ15YtW/DVV18BAGxtbTU%2Bx87OTlDN2kbMU81U9W/h09e03RMJVMyIz5w5E9OmTUN5eTnS09ORkZGB8PDwGoXGUMPBlEIioqfs2rVL6yVJtfmc2po4cSLeeOMNGBoaIiIiAseOHUOLFi2we/dubN68Gbt27aq2hrYzYb///rugsTk4OODs2bMAVJPgHj9%2BDCcnp2pTDwsLC3Hv3j14eXnht99%2BU5spuHbtGmbPnq2yxExbYiT4VVq2bBmSk5Px/vvvK4M4rl69iujoaHh5eenlnLbqlibp80yngIAAXLp0CWPHjoWlpSXkcjlu3bqF7du3w8bGBt99951eaonp3r176Nu3LyIjI9UeMzIyQrdu3bTa%2B0b6pc2/jRKJBIcPH9a65uPHj/HNN9/g119/VQYUmZqaYvTo0Zg%2Bfbrez/Aj3WHDRUT0lFGjRsHMzAzTp09Hjx49nvnctLQ0rFmzBgUFBdi%2BfXsdjbDC9evXsXz5chQXF2PGjBno168fCgsL4enpidWrV6NXr151Op4njRkzBuPGjcOwYcNUGq7w8HAcOnSo2mYwJiYGK1euxP3796tMSRwwYIDgfWrVJfgJuXkCKpY87tixQ%2B08pMzMTPj5%2BeHQoUOC6una1q1bMW7cuBp/vkwmU94UlpWVYcCAAcplrdooLS1FeHg44uPjcevWLchkMpibm6Nv376YO3eucsa2rmuJLT8/H6ampspz2MrKypCRkYEOHToIPruM/n3Ky8uRn58PIyMjvb5Oqe6w4SIieopcLsd3332H6OhoWFtbw9nZGS%2B//DJMTEwgkUhQWFiIy5cvIzExETdu3MAHH3yAjz/%2BuN6swa8PZ7r88ccfmD59Ol5%2B%2BWWkpqaiX79%2BKmEXTk5O1dZQKBTo1asXYmNj1R4zMjKqUWCAk5MTvvvuu1on%2BFVydHREQkKC2jvTMpkMrq6uVcaY69qlS5fw119/QSaTKa/dvn0bmzdvVtuzpK2SkhK4ubnBzc0N/v7%2BMDIywpgxY5CQkCDWsP81Tp48iQULFuDkyZOQy%2BXw8fHBxYsXAVTsPXvrrbf0PEKqK9qeOQhAbwfMk%2B6x4SIiqsK9e/cQExODxMREXLlyRbkvxNTUFC%2B99BJ69%2B6NESNGaIwZrwslJSXYsWNHlcvjQkND9TCq/3P79m3s2bMHf//9N4yMjCCVSmscdvG0srIyjBs3TvB%2BpD59%2BuDIkSOiLen68MMPYWdnhxkzZihryuVyrF27FklJSfjpp59E%2BTpC/Pzzz1i%2BfDnatm2Lu3fvon379rhz5w4sLCzw/vvvY8KECVrVycnJwffffw%2BJRAJ/f39YW1sjPz8fe/bswX/%2B8x8AwDvvvIO5c%2BcKGt/x48exf/9%2BZGdnQyKRQCqVwsvLq0bJimLWEpOXlxc%2B%2BOADjBgxArGxsfj%2B%2B%2B%2Bxe/dupKWlYcWKFVot96V/h65du2r1PIlEgvT0dB2PhvSFDRcRUQM1efJkXLx4EW%2B88QZatGih9rjYhxALURl28bQHDx7g22%2B/1Trs4v79%2B1i7di3S0tKUqYIAcPfuXTx%2B/BgnTpwQNK6NGzdCoVCIlu52%2BfJl%2BPr64tGjR7C0tAQAZGVloVmzZli/fn21S1J1wcPDA0FBQXB2doatrS1SU1ORl5eH4OBg%2BPj4aN2M%2BPj4wNHRERYWFoiIiMAvv/yCNm3aICsrCzNmzEBWVhYWLFiAUaNGaT226OhohIaGws3NTbnnLTMzE0ePHkVYWBjefvttvdQCgFu3bmHPnj24desWFi9eDKAixruq8Itnsbe3x9mzZyGRSDBnzhxIpVLMmTMHgOr%2BRm2IGTFP9Vd%2Bfj5j/v/F2HAREVXh/v37OHv2LAwMDGBnZ4eWLVvqe0gq7O3tERcXJ%2BhMJF0TO%2Bzik08%2BwbVr1/Dmm29i06ZNmDJlCv73v//h7t27CA0NRadOnQSNb9q0acqfqVgJfjKZDMePH0d2djZkMhmsra3x5ptv6u31Ym9vr1w2aGdnh3PnzkEikSAnJwf%2B/v7YvXu3VnUcHByQkpICiUSCH3/8ETk5OZBKpVi9ejX8/Pxgb2%2BPhQsXYt%2B%2BfVqPzd3dHcHBwXB2dla5fuLECYSEhGhcPloXtQ4fPow5c%2BYov%2BcLFy7g5s2bGDJkCAIDAwUnyPXp0wd79%2B6FoaEh%2Bvbtiw0bNsDOzg4FBQXw9PREUlJStTUqI%2BYdHR1x5swZtd%2BlzMxMjBo1qkbBMaRflT/bSrdv34a3t7dWrwtqmOrHhgMionrm4sWL8PX1RXFxMcrLy9GuXTtERkbCxsZG30NTeuGFF2BsbKzvYag4fPgwVq5ciX/%2B%2BQcDBw7U%2BJwBAwZoXS8hIQFxcXEwNTXF5s2bMWvWLADAf/7zH%2BzevRsff/yxoPG9%2BuqrePXVVwV9TlUuXLiAZs2aoWvXrvDw8MCAAQOUEfoHDx7U25LOjh07IjExEc7Oznj%2B%2Bedx5swZODo6onXr1sjOzta6zksvvYStW7fC2dkZEokEmzdvRvfu3bFp0ybl32Fubq6gsd27dw%2BOjo5q111cXASNTexa3377LcLCwuDh4aGc0erQoQPWrl2LoKAgwQ3XkCFD8OGHH6Jp06awsbGBnZ0dHj16hKVLl8LV1VWrGrqImKeaOXz4MNzd3QFU/N7HxsbC2toa77//vqCjHy5fvoz58%2Bfj0qVLasdt1GQmlRoONlxERBqEhIRgyJAhmDdvHhQKBb755ht8/fXXCA8P1/fQlD777DMEBwdj8uTJsLS0VDugVR8Rw97e3vDy8hIt7KK8vBytW7cGUHG%2B2MOHD9GyZUvlwbZCG65nRaJv3bpV6zrp6ekYP348AgIClHs0bt68icDAQCgUCqxatQr79u3TyzlJfn5%2B8PX1RWJiIry9vTF16lT07NkTmZmZeOONN7SuExwcjC%2B//BLR0dF4%2BeWXMXjwYLRu3VrZbKWnp%2BP5558XNDapVIpjx46pRW6fPHkSHTt21FutrKwsZZ0nf48cHR0FN28AMH/%2BfOzZswclJSXKZq1JkyYwNTXFp59%2BqlWNCRMmYNiwYdVGzJNuhYSE4ODBg3B3d8etW7fw4YcfwtPTE/v27UNubi7mz5%2Bvda0vvvgCr732GgICAuDv74%2BIiAj89ddfOHXqFFatWqXD74L0jUsKiYg0cHZ2Rnx8vDKyt7i4GIMGDapXiWw9e/ZEaWkpysrKND5eHzdgCw27mDx5Ml544QUsWbIEEyZMQM%2BePTFx4kT8%2BeefWLBgAU6fPi14DGIk%2BM2cORPt2rXDkiVLlNeejL//5ZdfcPDgQURERAgenxiys7OVe8p%2B%2BeUXXLhwAZaWlhg7dqyygRXq4cOHGDNmDCwsLGBjY4O9e/fCx8cHU6ZM0bpGfHw8Zs%2BeDRcXF7z44osAKpbGJSQkICgoSONepbqo9c477yA0NBTdunVT%2BTkeO3YMgYGBgo8LqJSfn4%2BbN2%2Bie/fuNfr8yhqMmNefN998Ez/99BOkUinWrVuHM2fOIDIyEvn5%2BfD29sbRo0e1rtWzZ08kJibCwMBAub8SqFgGu3PnTr2dHUe6xxkuIiINSktLVc5HadOmDe7fv6/HEalbt26dvodQperCLrS1ZMkSfP755wAqDrr18/NDREQEmjRpgoCAAMHjelaCX%2BVyRW38%2Beefak3jk%2B9fDhgwQK/vWFc2WwAwcuRIjBw5stY1W7ZsiZ9//hnbt29HTk4O5s%2BfL3gGz8PDAzt37sSuXbtw48YNyGQySKVS/Pjjj4KXx4lZa9y4cfD19cV7770HhUKBqKgoXLx4Efv27cO8efME1QIqGvjPPvsMCQkJMDAwQFpaGu7cuQNfX1%2BsW7dO7dy2Z0lPT2fEvB7dv38fUqkUQMUS58oZy7Zt2yqTa7VlZGSE0tJStG7dGi1btsSdO3dgbm6O3r17Y/bs2aKPneoPNlxERA1U5VlW//zzD%2B7cuQOJRIL27dsr3wnXp6VLl2oMu/jnn38E7W2SSqXKCPKePXviyJEjyMzMRIcOHWoUFrJp0yZERkYqE/yOHj2qTPATMgtRXFystmztyWVfJiYmePjwoeDxieHKlSsICwvDtWvXVGbxKtV0tgYAjI2NMWnSpNoMD127dsVnn31Wqxpi1/Lx8YG5uTliYmJgZWWF2NhYWFlZITw8HC4uLoLrBQYGwszMDEeOHIGnpycAwMzMDH369EFQUBDWr1%2Bvda2QkBDlmwt79%2B7F3bt3cerUKWXEPBsu3bKyskJiYiJatmyJ1NRU5RspFy5cEJwq6ObmBh8fH/z8889wdHTEwoULMWrUKJw/f56zlf9ybLiIiDRQKBRISEhQmbUoKytTu6bPgyqLi4uxdOlSxMfHKxOvDA0NMWTIEHz%2B%2Bed6PfxYrLCLwYMH45133sGgQYPQuXNntGnTplZBAfn5%2BcpUuyZNmqC8vBzPP/88Pv30U0EJfm3atFGLcX4ybj0nJwcmJiY1HmdtzJ49G23btsXo0aNhZGSklzFURSaTYfXq1di3bx9u3rwJiUQCS0tLDB8%2BHH5%2BfoICCMSsBVTMSgoJdHmWxMREHD9%2BHMbGxso9YQYGBpg1axb69esnqNaNGzcwfPhwAMDRo0cxePBgtGjRAo6Ojrh%2B/boo46WqBQQEYOrUqZDJZJg6dSrMzc1RVFQEPz8/TJs2TVCtJUuWICIiAoaGhli8eDHmzJmDuXPnwsLCAoGBgTr6Dqg%2BYMNFRKSBXC6Hr6%2Bv2vUnr%2Bn7oMply5YhLy8Pa9asUZ5DdPXqVfzwww8ICQnR%2BqwrXRAr7GLkyJGIj4/H2rVr8fLLLyubLyFLsp4kVoKfq6srtmzZojxb6WlhYWF6a8azsrKwY8eOeneMAQB8%2BeWXSE5OxuTJk1Ves9HR0SgrK9N4dltd1Lp//z527txZ5ayg0DPtWrRooRbjDgBFRUVq6XTVMTY2RnFxMQwNDZGQkIAPP/wQAFBQUAADA97G6ZqbmxuSk5Px%2BPFjZSqsiYkJ1q1bJ/jNn%2BbNmytfl%2B3btxcU1EMNG39TiYg0yMjI0PcQqnXixAkcOHAAZmZmymudOnVC9%2B7dMWbMGL02XD169MDSpUuxZMkSvPLKK/jhhx%2BUYRdVhXxoMmHCBEyYMAH37t3D4cOHcejQIaxZswavvPIKBg8ejAkTJggal1gJfv7%2B/vD29kZOTg58fHwglUqhUChw9epVbN68GampqYiJiRE0NrHY29vj7t27yn0n9cmBAwewY8cOlYbZ1dUVffr0gZ%2Bfn6AmScxaAQEBSEtLg52dnSizgs7Ozvjss8%2BUDXlxcTEyMjIQEhICNzc3QbXEiJinmpPJZNi%2BfTvGjx8PoGJJ7s6dO2FtbY0uXbpofTTHuXPn0K5dO%2BXr9dKlSwgPD0dpaSnc3d1F2WdJ9RdTComIqnHv3j1kZ2fDwMAA1tbW9ebsK2dnZxw5cgQtWrRQuV5aWgo3N7caJfiJ5e%2B//8bnn3%2BOiIgIpKamws/PDw8fPlSGXWiaPdTWuXPnEBoaipSUlBrNMIqV4Jeeno7ly5fj7NmzKlHiLi4uWLx4cZ2e2Xby5Enlx3fu3MGOHTvg5eUFCwsLteMCajLzlpGRoYy/z8nJwaFDhyCVStUi2avj6OiIhIQEtSMLZDIZXF1dkZycrJdaPXr0QFxcHCwsLLT%2BnGcpKirC/PnzlQl2EokEEokE77zzDj7//HNBy03Ly8tVIuZNTEwgk8kQFBSETz/9tMapk6SdxYsX49KlS9ixYwcyMzMxfPhwTJkyBZcuXUKrVq3w5ZdfVlsjPj4ec%2BbMwapVq%2BDh4YEHDx7g7bffxgsvvAAHBwfs2bMH8%2BbNw4gRI%2BrgOyJ9YMNFRFSFq1evYtmyZThz5oxyeZCBgQH69euHzz77TLSbs5qaNm0aTExM8Omnnypnue7du4eQkBDcuXMHGzdu1Ov4nlRcXFzjsIvy8nKkpKQgPj4ehw8fRn5%2BPtzc3DBw4EDR9tzUxr1795CVlQWJRIJOnTqhTZs2dT6GymaoOjVZBrt582asX78eiYmJKCwsxODBg/Hiiy/i9u3b8Pb2xkcffaR1rQ8//BB2dnaYMWMGmjVrBqBi%2Be7atWuRlJSEn376SS%2B1hgwZgm3btqkkk4qh8rVhaGgIS0vLWtUXI2KehOvduzd2796Ndu3aYdWqVbhy5QrWrl2LkpISDBo0SOXNjqqMGjUKo0ePhre3N4CKN3pCQkJw5MgRtGzZEidOnMB3332HnTt36vrbIT1hw0VEpMGtW7fw7rvvwtXVFRMmTEDnzp0hl8vxv//9D2vWrMHff/%2BNmJiYGiXlieX27duYOnUq0tPTlTf5xcXFePHFF7Fu3Tq9Lil7OuyiphYuXIhjx44pZ%2B0GDRqEfv361TgQRJcJfv9W/fv3x/fff4/XXnsNmzdvRlxcnDIafsKECTh06JDWta5cuYJJkybh0aNHylnGytnj9evXo0ePHnVW68mff0pKCvbu3YtJkyapROpXEnqIeGlpKSQSicbliU/OFmpDzIh5Es7BwQFnz54FALz33nt4//33MXz4cJSXl8PBwUGrs/vs7e1x%2BvRp5eto1qxZMDQ0xNdffw2gImnWyclJ63MAqeHhHi4iIg0iIiLw1ltvYeXKlSrXXVxc4OLigk8%2B%2BQRr1qzB8uXL9TTCik3Xu3btQkZGBrKzsyGTyWBlZSXoplVXxAq7qNyr4ubmJkrqYn1O8BODTCbD7du31f6ez507B1tb2xodGVBQUIDXXnsNQMXSxYEDBwIALCwscPfuXUG1XnrpJcTHx%2BP48ePK16xUKkXfvn0Fh3zUtpatra3Kcsvy8vIq991pOyt47949zJs3D3/88QfKy8vh4eGBr776Ci1atIBMJsOaNWsQGRmJtLQ07b5JiBsxT8J16dIFu3btgpGREa5cuaJcRnvq1Cl06NBBqxoSiUTldy8lJUXl3D%2BhiZrU8LDhIiLS4OTJk/juu%2B%2BqfHzWrFnw8fGpwxGpevLGumvXrsp3zM%2BdOweFQqH3s7hqE3Zx48YNZerczJkzAQC5ubkanyt0n1R9TvCrraKiIowbNw6vv/662r6S5cuXw9jYGJs2bRI8W2Nubo4rV67AyMgISUlJWLZsGQDg2rVrNdo/1Lx5c3h4eAj%2BPLFrbdmyRZQxPCkkJAQymQxbtmyBTCbDd999h1WrVsHT0xOLFi2CQqFAeHi4oJpiRsyTcIsWLcKnn36KkpISLFq0CCYmJigsLMSMGTO02r8FVBxE/tdff8HW1hbJycnIz89XOd/t8uXLeP7553X1LVA9wIaLiEiD27dvP3MpnFQqRWFhYR2O6P/o6sZaF8zMzDBy5EiMHDlSGXbx1VdfPbPhGjp0KFJTUwEAgwYNgkQiUYnYrvxzTfYj1ecEv9pas2YNzMzMsHjxYrXHfvrpJ0yZMgURERGC0vuAimTHkSNHory8HMOHD4eVlRVKSkowdepU5Z4UbVy4cAHNmjVTvjng6empPD/Ozs5O0IHYYtSqPDgcANauXavx7%2BXBgwf49ttvVZ77LKdOncJPP/2k3N/ZsWNHDB06FNu2bcOECRMwffp0wTO1YkbMk3C2trY4cOCAyjVTU1PExcVpvaR8xIgRmD17Ntzc3BAfHw83NzflayQ7OxuBgYFwd3cXfexUf7DhIiLSoLy8vNqG5en0t7qiqxtrsVUVdvGsmUMAiIuLU34sxp6qJze1Dxs2DPPmzRM1wa%2B%2BOHLkCNasWaNx9q5FixZYtGgRAgJ%2BxKJAAAAgAElEQVQCBL8uRowYAVdXV9y/fx8vvvgiAKBVq1b4%2BOOPMXjwYK1qpKenY/z48QgICFA2Sbm5uQgMDIRCocCqVauwb98%2BvPPOO3Vaq7CwEAUFBVi/fj0GDx6s1thcv34d27dv1/qIhYKCApUwHWtra5SVleG///0vXnrpJa1qPE3MiHmqmePHj2P//v3Izs6GRCKBVCqFl5eX1g3XhAkTUFZWhlOnTsHT01PlHMKoqCg0bdoUM2bM0NXwqR5gaAYRkQbdu3fH%2BvXrNb6zXGnq1Km4cOFCHY6qgoeHB9asWVPlxvv09HQEBARg//79dTyy/yNW2IW/vz9%2B%2BOGHWo1Flwl%2B9Ym9vb1aRP2ThGzyFxrPXp2ZM2eiXbt2WLJkifLa66%2B/jvPnzwOoSG07ePAgIiIi6rRWTEwMVq5cifv371f5uz5gwACsXr262lpPj%2BNZ14QQM2KehIuOjkZoaCjc3NyUS50zMzNx9OhRhIWF4e23365V/QcPHtSbo0ZIdzjDRUSkgVwur/asKH3NcOXn5%2BOVV16p8vGuXbvi1q1bdTgidWKFXeTm5iItLa1WUdgN4RBrMbRs2RIFBQUqB2E/6c6dO2pntlWl8pDXSpqWdQJA06ZNtQqA%2BPPPP7Ft2zaVa0/WGzBgAFatWqXV2MSs5e3tDS8vL/Tq1QuxsbFqjxsZGaFt27Za1dIVExMT/PDDD6JGzJP2oqKi8MMPP8DZ2Vnl%2BokTJxASElLrhovNVuPAhouISIP6fJMu5o21mHQRdtG3b1/MnDkTtra26NixIwwMVP9vKyAgQOvx6SLBrz7p3bs3oqKiqvw7%2Bfrrr9VuGqtSuYcOAH7//XfExcVhypQp6NSpE8rLy3H58mVs2rRJ64Nai4uL0bFjR5VrkZGRyo9NTEzw8OHDOq8FVDSNZ86c0fr5zyKXyxEWFlbtNSGv28qIeTMzM7XfeaER8yTcvXv3NM7iuri4IDs7Ww8jooaIDRcRUQMj5o21mHQRdnH%2B/HlYWFggPz8f%2Bfn5Ko8JmWFsSEEjNTV9%2BnS89957yMrKwvvvvw8bGxsoFApcuXIFkZGROH/%2BPHbs2KFVrSf/HsLCwrBz506VA53t7e0RGBiIUaNGKWOyn6VNmzbIz89XmS3q2bOn8uOcnBytl8aJWUtsmpZsPn1N29etLiLmSTipVIpjx46pvc5Pnjyp1vgTVYUNFxFRFcRMVROTmDfWYhI77AKo2D8hhoYSNFIbNjY2%2BPHHH7F8%2BXL4%2BPgob%2BzLy8vh5OSEH3/8UXCMPlARBPH48WO162VlZVondbq6umLLli3K4IenhYWFaR1YImYtsYn1egV0EzFPwn388ceYOXMmXFxclKExmZmZSEhIQFBQkJ5HRw0FQzOIiDRIT0/H2LFjERAQgA8%2B%2BAAA0KNHD5UktEWLFmmVhKar8S1fvlwlJKHyxnrRokXP3ONVF8QIu8jOzsaJEyfQtGlT9OvXT%2BtEME0aQtCImCr3%2B1Qmqpmamta4VkBAAC5duoSxY8fC0tIScrkct27dwvbt22FjY1Nt6iRQsdzU29sbbm5u8PHxgVQqhUKhwNWrV7F582akpqYiJiZGqxkDMWvVZ25ubioR8zdu3MDQoUMBoMYR81QzGRkZ2LVrl8oB28OGDYOdnV21n/tkSmp1GnJKKj0bGy4iIg3ETELTJTFvrMU0bNgwfPnllzUOu0hOTsZHH30Ec3NzKBQKFBQUICoqCj169KhRPTET/Bqb0tJShIeHIz4%2BHrdu3YJMJoO5uTn69u2LuXPnah3eoOlNAqBiL8zixYsFzb6JWauSXC7H2bNnkZOTA4lEAisrKzg4OOgtHEdTumH37t1rFTFPwml7xEBVGktKKj0bGy4iIg369u2Lbdu2qbxLbmtrq9yjVFRUhEGDBuHUqVP6GmK9FhISgn379tU47MLHxwfu7u6YOHEiAGDTpk04ceIEoqKiajQeV1dX7N69u8qgkdu3b2P48OH8edaBJ98k6NSpk8reMH3VysjIgJ%2BfH/Ly8pR7w/Lz82FlZYWoqCh06NChxmOsKV1EzJNwvXr1wpEjRzSebyemp/cl0r8L93AREWkgdhJaY1PbsIuLFy9i06ZNyj%2BPHTsWGzZsqPF46mvQSENR1cGvT4ZVaEtT2l5NiVUrODgYnp6emD17tvLGuqioCCEhIQgMDOReqUZs9uzZWLx4Mby8vNCxY0e1NNOazKaWlZUp9wMDFW/4eHt7IykpqdbjpfqJDRcRkQb1OQmtvsvOzsagQYNgYGBQ471XMplMZX9Ky5Yt8ejRoxqPqb4GjTQETx786uDgAKAiNGDixImiHPxaH6SlpamlVJqYmGDhwoVapTBqcuvWLezZswe3bt1ShrWkpqbC1tZWq8/XRcQ8CffFF18AqFhaWKkmiasAcPnyZcyfPx%2BXLl2CQqFQeUzb1wU1TGy4iIg0qM9JaPXZ03uvvvrqq1rtvRKLrhL8GgNdH/xaH5iamiI/P19t6WBJSUmNjgo4fPgw5syZAwcHB6SkpGDx4sW4efMmJk6ciMDAQAwePLjaGmJGzFPNiZW4ClQ0b6%2B99hoCAgLg7%2B%2BPiIgI/PXXXzh16pTWh3VTw8Q9XEREGjSWJDSxibX3qnv37liyZInKOV7Lly9XuzZ69GjBY6yvQSP1lb29Pc6cOaO2lEqhUMDJyQkpKSl6Gpl4goKCkJKSAj8/P3Tu3BlAxSzehg0b0K1bNwQHBwuqN3ToUMyaNQseHh4qez8TExMRFBSEPXv2iP49UP3Xs2dPJCYmwsDAQOV1ceLECezcuVOrxE9qmDjDRUSkgbW1NaKjo7F8%2BXKMGTNGLQlt69atbLY0EGvvlbm5uVqs/NPXJBJJjRouMfcQNQaN4eDXefPmISwsDJ9//jlKSkoAAMbGxhgyZAgWLFgguF5WVpby7%2BvJfzscHR2RnZ0tzqBJ58Q%2Bi9HIyAilpaVo3bo1WrZsiTt37sDc3By9e/fG7NmzRR8/1R9suIiIqtCtWzds3bpV1FS1fzux9l79/vvvYg6LaqExHPzarFkzLFiwAAsWLEBxcTFkMhnatm2LsrIy5OXloUWLFoLqdezYERcvXkS3bt1Urp88eZJJdA1Eeno6xo8fj4CAAGXDlZubq3IWo9DI%2BMoVEz///DMcHR2xcOFCjBo1CufPn8dzzz2nq2%2BF6gE2XERE1eCMCDVmHh4e2LlzJ3bt2oUbN24oD3798ccftTr4tSGws7NTxq0/%2BYbKw4cPMXToUCQnJwuqN27cOPj6%2BuK9996DQqFAVFQULl68iH379mHevHmijp10Izw8HCNGjFAefA8ATZo0wfDhwwFU7P/89ddfBTVcS5YsQUREBAwNDbF48WLMmTMHc%2BfOhYWFBQIDA0X/Hqj%2B4B4uIiISjS73XhGJ7cCBAzhw4ADi4uIwaNAgtcdzc3Nx7do1JCYmCq598OBBxMTE4O%2B//4aRkRGsrKwwZswYuLi4iDF00jGexUhiYsNFRESi0SZCWyKRiJr8Rbolk8mwevVq7Nu3Dzdv3oREIoGlpSWGDx8OPz8/NGnSRN9DrLGsrCwcPHgQoaGhePfdd9UeNzQ0xJAhQ2p03piYahsxT8LZ2dnhzz//VLl25swZldeCpuc8i0KhwKFDh3D16lU8fvxY7XFG/P97cUkhERGJhnuv/n2%2B/PJLJCcnY/LkybC2tgYAXL16FdHR0SgrK8P06dP1PMKaOXfuHGxtbeHr6wuJRIJJkyaJVvv%2B/fvYuXMnrl27BplMpvb4ihUrtK4lRsQ8CaeLsxg//fRTxMfH45VXXoGRkZHKY4z4/3fjDBcRERFVqXfv3tixYwesrKxUrmdmZsLPzw%2BHDh3S08hqZ9CgQbh9%2Bzbs7e3Rq1cvODk5oUePHmrx9zXx0UcfIS0tDXZ2dmo31gDUDi9%2BFkbM68fChQthbm5e5VmMn3zyCYyMjAQdGeDg4IAdO3bgpZdeEmuY1EBwhouIiIiqJJfL0b59e7XrlpaWKCws1MOIxLF//37k5eXh9OnTOH36NGJiYpCXlwcHBwc4OTnB2dkZ3bt3r9GSyT/%2B%2BANxcXGwsLCo9TgZMa8f/v7%2B8Pb2Rk5OzjPPYhTC1NQUlpaWOhox1WcNd%2BE1ERER6dyrr76KtWvX4p9//lFek8vlCA8Px8svv6zHkdXe888/jyFDhmD58uU4cOAA9u/fj6FDh%2BL69esICAiAo6MjpkyZIriutbW14OVmVamMmH8aI%2BZ1q/IsxtzcXIwZMwaurq7o27cvJk6cCLlcXqOzGGfOnInQ0FCUlpbqaNRUX3FJIREREVXpypUrmDRpEh49eqR8dz47OxsGBgZYv349evTooecR6k5OTg6SkpKUUeDP8uRerZSUFOzduxeTJk3SOKPRvHlzrcfw448/Yt26dXjvvfcQGRmJuXPnqkTMv//%2B%2B1rXopoR6yzGd999Fzk5OXj48CGee%2B45tX1bJ0%2BeFGO4VA%2Bx4SIiIqJnkslkOH78OLKzs5XncPXt2xctW7bU99Dqja5du6rcQJeXl1cZhJCeni6oNiPm/x1%2B/fXXZz6uTWNPDRMbLiIiIqJaSkpK0vq5Tk5OOhwJEdU3DM0gIiIijS5cuIBmzZqha9euAABPT0/I5XIAFWcQhYaG6nN49cqTTdTatWs1xuU/ePAA3377raCGS8yIeap7CxYswMqVKwFUJBs%2BC3%2Bf/r0YmkFERERq0tPTMX78eJWZm9zcXMyYMQNTp05FYmIi9u3bp8cR1j%2BFhYW4du0a1q9fj%2BvXr%2BPatWsq/yUlJWH79u2CagYEBGDDhg3Iy8vD48eP1f6j%2Bq1Zs2bKj5s3b/7M/%2Bjfi0sKiYiISM3MmTPRrl07LFmyRHnt9ddfx/nz5wEAv/zyCw4ePIiIiAh9DVE0ubm5iIyMxI0bNzQ2MVu2bNGqTkxMDFauXIn79%2B%2BjqturAQMGYPXq1VqPrUePHqJFzBORfnBJIREREan5888/sW3bNpVrTzYRAwYMwKpVq%2Bp6WDoxY8YMlJWVwcnJCYaGhjWu4%2B3tDS8vL/Tq1QuxsbFqjxsZGQmOchczYp70w9PTEwcOHFC55ufnh/Xr1%2BtpRFTX2HARERGRmuLiYrVzhiIjI5Ufm5iY4OHDh3U9LJ24du0aTp48CWNj41rXatq0Kc6cOVOrGk/u1Vq0aBFWrlwpSsQ86cfNmzfVriUmJuphJKQvbLiIiIhITZs2bZCfn68yI9OzZ0/lxzk5Of%2BamZc33ngDWVlZynAQfbO1tVWLmI%2BJidH4XKER81T3qjoegBoPNlxERESkxtXVFVu2bMGcOXM0Ph4WFoY%2BffrU8ah0Izg4GFOmTIGtrS3at2%2BvdoM8Y8aMOh2PtnvGiKhhYMNFREREavz9/eHt7Y2cnBz4%2BPhAKpVCoVDg6tWr2Lx5M1JTU6ucdWloli5diuvXr6NJkya4fPmyymMSiaTOGy5dRcwTkX6w4SIiIiI11tbWiI6OxvLlyzFmzBiVWR8XFxds3bpVbY9XQ/XHH39gz549kEqlotWUy%2BU4e/YscnJyIJFIYGVlBQcHB62XlxUWFqKgoADr16/H4MGD1VIPr1%2B/ju3bt2PRokWijZl0Q6FQYMeOHSo/Q03XRo8erY/hUR1gLDwRERE9071795CVlQWJRIJOnTqhTZs2%2Bh6SqLy9vbFhwwbBCYJVycjIgJ%2BfH/Ly8pQ18/PzYWVlhaioKHTo0KHaGrqImCf96N%2B/f7XPkUgkOHz4cB2MhvSBDRcRERE1avv27cO2bdswdOhQtG/fHk2aNFF5XOhetfHjx6Nbt26YPXs2WrZsCQAoKipCSEgI7t69i/DwcK3qKBQKUSPmiUg/2HARERFRo/asdEKJRCI4CdDe3h6nT59Wi2x/%2BPAh%2Bvfvz0hwokaGe7iIiIioUcvIyBC1nqmpKfLz89WWDpaUlPDcLKJGiA0XERERNXpPh1xIpVLY29vX6Awld3d3TJs2DX5%2BfujcuTMAIDMzExs2bMCbb74p9tCJqJ7jkkIiIiJq1MQIuXiSTCZDWFgYYmJiUFJSAgAwNjbGkCFDsGDBArRo0UL074GI6i82XERERNSoiRVyUam8vFw5M1ZcXAyZTIa2bduirKwMeXl5eOGFFwTVq23EPBHpFxsuIiIiatTEDrl4/fXXcf78ebXrJSUl6N%2B/P5KTk7WuJfbsGxHVPe7hIiIiokZNrJCLAwcO4MCBA/jnn3/wySefqD2em5uLpk2bChpbcHAwPD09Nc6%2BBQYGCp59I6K6x4aLiIiIGjWxQi5effVVZGdnIy4uTmOj9sorr2hsxJ4lLS0NmzZtUqlnYmKChQsXanWgLhHpHxsuIiIiatTmzZuHsLAwfP755xpDLrRx7tw52NrawtfXFxKJBJMmTRJlbIyYJ2r4uIeLiIiI6P97MuRCSCjFoEGDcPv2bdjb26NXr15wcnJCjx49BC8hfFpQUBBSUlI0zr5169YNwcHBtapPRLrHhouIiIgatZ49eyI5ObnWqX95eXk4ffo0Tp8%2BjaSkJOTl5cHBwQFOTk5wdnZG9%2B7d0aRJE0E1GTFP1PCx4SIiIqJGbc6cOXB2dsbo0aNFrXv79m0kJiYqG7CCggI4ODggIiJC6xpiR8wTUd1jw0VERESNmr%2B/P86fP4%2BmTZvihRdegIGB6hb3bdu2ifJ1cnJykJSUhOHDh2v9OWJGzBORfjA0g4iIiBq17t27o3v37jr/OhYWFlo3W7qImCci/WDDRURERI3Oxo0bMXnyZACAgYEB/P399TwiVbqImCci/WDDRURERI3OunXr0KVLF0ilUqxbtw4DBw5EVbssbGxs6nRsuoqYJyL94B4uIiIianSCg4MRHR2tDKR4%2BnZIIpEoAyvS09PrdGy6ipgnIv1gw0VERESNUlFREe7fv4%2BBAwciLi6uyudZWFgIqpubm4vIyEjcuHEDjx8/Vnt8y5Yt1dbQRcQ8EekHGy4iIiJq1K5fv45OnTqJVm/EiBEoKyuDk5MTDA0N1R6vyd4rMSLmiUg/2HARERERicje3h4nT56EsbGxzr5GTSLmiUg/OBdNREREJKI33ngDWVlZOv0aQiLmiUi/OMNFREREJKLbt29jypQpsLW1Rfv27ZXBHJVmzJihp5ERkT6w4SIiIiL6/woKCvDcc8/Vqoa/vz9OnTqFzp07q%2B3hkkgk2LZtW63qE1HDwoaLiIiIGrUHDx7gq6%2B%2Bwm%2B//Qa5XI60tDQUFhZi/vz5WLFiBczMzATVe/3117F7925IpVIdjZiIGhIefExERESNWmBgIO7cuYONGzcqDxlu1qwZWrVqhaCgIISFhQmq99JLL4kWmCFGxDwR6RcbLiIiImrUjh49iv3798PMzEy538rY2BhLly6Fp6en4Hq%2Bvr6YM2cOhg4divbt26udl9WnTx%2Bta82YMeOZEfNEVP%2Bx4SIiIqJGTSKRoFWrVmrXFQqFxlml6gQEBAAAkpKSNH6t9PR0rWtdu3ZN5xHzRKRbbLiIiIioUbO3t8fXX3%2BNuXPnKq/l5OQgODgYTk5OgutlZGSINrbKiPmuXbuKVpOI6hZDM4iIiKhRy83NxbRp03DlyhXI5XIYGxvj4cOHsLOzQ1hYGDp06CC4plwux9mzZ5GTkwOJRAKpVAp7e3u1iPjqMGKeqOFjw0VEREQEIDU1FdnZ2TA0NIRUKkWXLl1qVCcjIwN%2Bfn7Iy8tD27ZtAQD5%2BfmwsrJCVFSUoAaOEfNEDR8bLiIiIiJUNEWa9mx17NhRUJ3x48ejW7dumD17Nlq2bAkAKCoqQkhICO7evYvw8HCtazFinqjh4x4uIiIiatR%2B/fVXrFixAiUlJSrXy8vLBYdcAEBaWho2bdqE5s2bK6%2BZmJhg4cKF6N%2B/v6BaYkbME5F%2BsOEiIiKiRi0kJAQTJ07EW2%2B9pdIk1ZSpqSny8/PVlg6WlJQIri9mxDwR6QeXFBIREVGj5uLiguPHj8PAQJz3oYOCgpCSkgI/Pz907twZAJCZmYkNGzagW7duCA4O1rrWs9IJazL7RkR1jw0XERERNWobNmyAQqHAlClTRGm6ZDIZwsLCEBMTo1ymaGxsjCFDhmDBggVo0aJFrb8GETUcbLiIiIioUTt37hwCAgJQUFAAMzMztej1w4cP17h2cXExZDIZ2rZtKzgSvpJYEfNEpB/cw0VERESN2rx589ClSxe4urqqRa/XRM%2BePZGcnAyJRII2bdrUqpaYEfNEpB%2Bc4SIiIqJGzcHBAYmJiaIEZgDAnDlz4OzsjNGjR9e6lpgR80SkH2y4iIiIqFFbsmQJ3N3d0a9fP1Hq%2Bfv74/z582jatCleeOEFtX1hQg4rtre3x%2BnTp9WawYcPH6J///5ITEwUZcxEpDtcUkhERESNmoGBARYsWABra2t06NBBLXo9NDRUUL3u3buje/fuooxNzIh5ItIPNlxERETUqJWWlsLNza1WNTZu3IjJkycDqGjg/P39RRgZ4O7ujmnTpmmMmH/zzTdF%2BRpEpFtcUkhERERUSw4ODli1ahWkUineffdd/Pbbb6jqFsvGxkbruoyYJ2r42HARERFRo3f8%2BHHs378f2dnZyuh1Ly8v9OzZU6vPDw4ORnR0tDKq/enbK4lEgvLy8lodVixGxDwR1T02XERERNSoRUdHIzQ0FG5ubrC2tgZQsWzv6NGjCAsLw9tvv61VnaKiIty/fx8DBw5EXFxclc%2BzsLDQemxPRswTUcPEhouIiIgaNXd3dwQHB8PZ2Vnl%2BokTJxASEoLY2FhB9a5fv45OnTqJMjYxI%2BaJSD/YcBEREVGjZm9vjzNnzqBp06Yq1xUKBZycnJCSkqKnkYkbMU9E%2BsGUQiIiImrUpFIpjh07hv79%2B6tcP3nyJDp27KinUVUQM2KeiPSDDRcRERE1ah9//DFmzpwJFxcXvPjiiwAq9nAlJCQgKCiozsejq4h5ItIPLikkIiKiRi8jIwO7du1CdnY2ZDIZpFIphg0bBjs7u1rVLSgowHPPPSfoc3QVMU9E%2BsGGi4iIiBq98vJyPHr0SHmuVWFhIVq3bq22r0sbDx48wFdffYXffvsNcrkcaWlpKCwsxPz587FixQqYmZk98/PrImKeiOpOE30PgIiIiEifMjIy4O7ujiNHjiiv7dq1Cx4eHsjIyBBcLzAwEFlZWdi4cSOaNKm41WrWrBlatWql1RLFRYsW4fTp04iPj4eBgQEOHz6s8l98fLzyf4mo/uMMFxERETVqY8eORZ8%2BfeDr6wsjIyMAgEwmQ1RUFI4ePYqtW7cKqterVy/s378fZmZmeP3113H%2B/HkAFQcXe3p64o8//tC6lpgR80SkH5zhIiIiokbt4sWL8Pf3VzZbANC8eXNMmjSpRkv2JBIJWrVqpXZdoVDg8ePHgmqx2SJq%2BNhwERERUaNmbm6Os2fPql1PSEiodr%2BVJvb29vj666/x6NEj5bWcnBwsWrQITk5OtRorETU8XFJIREREjVpsbCyWLVsGFxcXWFpaoqysDNeuXUNSUhJCQkIwYMAAQfVyc3Mxbdo0XLlyBXK5HMbGxnj48CHs7OwQFhaGDh066Og7IaL6iA0XERERNXppaWmIjY1FVlYWJBIJrKysMGLECHTt2rXGNVNTU5GdnQ1DQ0NIpVJ06dKlVmOsScQ8EekfGy4iIiIiHcjPz9e4Z6tjx45a16htxDwR6Z%2BBvgdAREREpE%2B5ubnYuHEjrl69qrFB2rZtm6B6v/76K1asWIGSkhKV6zU5OyswMBB37tzBxo0bMWnSJACqEfNhYWGCxkZEdY8NFxERETVqAQEBKC0tRZ8%2BfZQHH9dGSEgIJk6ciLfeegvNmzevVa2jR48qI%2BYrD0I2NjbG0qVL4enpWeuxEpHuseEiIiKiRu3ixYs4duwY2rRpI0q98vJyTJkyBQYGtb/NEjNinoj0g7HwRERE1Kh16tQJMplMtHoTJkxAREQE5HJ5rWsxYp6o4WNoBhERETVqp06dwpYtWzBu3DhYWFigSRPV96NtbGwE1Tt37hwCAgJQUFCgshSw0uHDh7WuxYh5ooaPDRcRERE1apqi3yUSSY1CLgDg7bffho2NDVxdXWFoaKj2%2BJgxYwSPUeyIeSKqO2y4iIiIqFHLycl55uMWFhaC6jk4OCAxMbHWgRlPEiNinoj0g6EZRERE1KgJbaiqM2TIEPzxxx/o169frWuJGTFPRPrBhouIiIgaJW3PsAoICBBU18DAAAsWLIC1tTU6dOigticsNDRU61piRswTkX6w4SIiIqJG6dy5c9U%2B5%2BnAC22UlpbCzc2tBiNSJ2bEPBHpB/dwEREREdVTGzZsgEKhYNNF1ICx4SIiIiIS2fHjx7F//35kZ2dDIpFAKpXCy8sLPXv2FFRHzIh5ItIPNlxEREREIoqOjkZoaCjc3NxgbW0NAMjMzMTRo0cRFhaGt99%2BW%2BtauoiYJ6K6xblpIiIiIhFFRUXhhx9%2BgLOzs8r1EydOICQkRFDDlZ%2Bfj7179zIwg6gBa1L9U4iIiIhIW/fu3YOjo6PadRcXF2RnZwuqVRkxT0QNF2e4iIiIiEQklUpx7Ngx9O/fX%2BX6yZMnBR9ULGbEPBHpBxsuIiIiIhF9/PHHmDlzJlxcXPDiiy8CqNjDlZCQgKCgIEG1xIyYJyL9YGgGERERkcgyMjKwa9cuZGdnQyaTQSqVYtiwYbCzs9P30IiojrHhIiIiIhJZeXk5Hj16hBYtWgAACgsL0bp1azRt2lRwLbEi5olIPxiaQURERCSijIwMuLu748iRI8pru3btgoeHBzIyMgTVio6OxsyZM1FaWgoHBwfY29ujqKgIEydOxKFDh8QeOhHpAGe4iIiIiEQ0duxY9OnTB76%2BvjAyMgIAyGQyREVF4ejRo9i6davWtdzd3REcHFxlxHxsbKyoYyci8bHhIiIiIhKRg4MDkpOT1ZYPyuVyODo64ty5c1rXsre3x5kzZ9RqKRQKODk5If8MNysAAAKmSURBVCUlRZQxE5HucEkhERERkYjMzc1x9uxZtesJCQkwMzMTVKsyYv5pNYmYJyL9YCw8ERERkYimTp2Kjz76CC4uLrC0tERZWRmuXbuGpKQkhISECKolZsQ8EekHlxQSERERiSwtLQ2xsbHIysqCRCKBlZUVRowYga5duwquxYh5ooaNDRcRERFRPSZmxDwR1T0uKSQiIiISUW5uLjZu3IirV6/i8ePHao9v27ZN61oZGRmYNm0a5s6di3feeQdARcR8dHQ0wsPDazRjRkR1iw0XERERkYgCAgJQWlqKPn36KGelauqLL76At7c3%2Bvfvr7zm4%2BMDuVyOwMBAQRHzRKQfXFJIREREJCJ7e3scO3YMbdq0qXUtMSPmiUg/GAtPREREJKJOnTpBJpOJUkvMiHki0g/OcBERERGJ6NSpU9iyZQvGjRsHCwsLNGmi%2Bv62jY2N1rViY2OxbNmyKiPmBwwYIPbwiUhkbLiIiIiIRKQpyEIikaC8vBwSiQTp6emC6okZMU9EdY8NFxEREZGIcnJynvm4hYVFHY2EiOoDNlxERERE9ZSYEfNEpB%2BMhSciIiISQVhYmFbPCwgI0LqmmBHzRKQfbLiIiIiIRKBNRLtEIhFU8%2BLFi6JFzBORfrDhIiIiIhJBdHS06DXFjJgnIv3gHi4iIiKiekrMiHki0g82XERERET1lNgR80RU99hwEREREdVTjJgnavjYcBEREREREekIQzOIiIiI6hldRMwTkX6w4SIiIiKqZ3QRMU9E%2BsElhURERERERDrSpPqnEBERERERUU2w4SIiIiIiItIRNlxEREREREQ6woaLiIiIiIhIR9hwERERERER6QgbLiIiIiIiIh1hw0VERERERKQjbLiIiIiIiIh0hA0XERERERGRjvw/6vQ0bVc0I6sAAAAASUVORK5CYII%3D\" class=\"center-img\">\n", | |
| " <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA1wAAAMRCAYAAAD4I7d2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzs3Xl8TNf7wPFPQiRIhBC7CCmxBUEkIbbYo0ottbQq9ta%2B041aammpLdQaqpbGklqrFbRVa9UaIYpYEioJkpBIiMjvj8nMdyaZ3HtTUfrzvF8vr5E5z5x75k7m5j73nHuORXp6ejpCCCGEEEIIIXKd5ctugBBCCCGEEEL8fyUJlxBCCCGEEEK8IJJwCSGEEEIIIcQLIgmXEEIIIYQQQrwgknAJIYQQQgghxAsiCZcQQgghhBBCvCCScAkhhBBCCCHECyIJlxBCCCGEEEK8IJJwCSGEEEIIIcQLIgmXEEIIIYQQQrwgeV92A4QQQojX3blz5wgODub06dNERUWRnJyMtbU1xYsXp0aNGvj5%2BeHr64uFhcXLbqoQQogcskhPT09/2Y0QQgghXkfp6el88cUXfPfddwDY29tTuXJlbG1tSUxM5OLFiyQmJgLQrFkzFi5cSL58%2BV5mk4UQQuSQJFxCCCHES7J%2B/XqmTp2KjY0NU6ZMoX379uTJk8dQnpKSwvfff8/s2bN59uwZAwcOZMyYMS%2BxxUIIIXJK7uESQgghXpKNGzcC8P7779OxY0eTZAvAxsYGf39/BgwYAMC6detISUn519sphBDin5OESwghhHhJbt68CYCrq6tinL%2B/PytXriQkJAQbGxsAJk6ciKurK7NnzyYpKYmZM2fi6%2BuLm5sbXl5eDB06lL/%2B%2BivbOo8ePcrQoUPx8fGhRo0aeHl54e/vz86dO7N9TXx8PPPmzaNjx464u7tTvXp1GjRowAcffMDx48fNvsbX1xdXV1cOHjxISEgIfn5%2BuLm5cfLkSQAWLVqEq6srEydO5MmTJyxatIjWrVtTs2ZNmjRpwrRp03j06BEAly9fZvjw4TRs2BA3Nzfat2/Pjh07zG43OTmZFStW8M4771CvXj2qVauGp6cnffr0ISQkxOxrevXqhaurKxs3biQpKYl58%2BYZ2uLh4cGAAQM4f/58tvtHCCHMkYRLCCGEeEkcHBwAOHPmjGpco0aNKFasWJaypKQk/P392bhxI0WKFMHDw4O0tDRCQkLo2rWr2QRh3rx5%2BPv7ExISgq2tLZ6enjg4OHD06FHGjh3LyJEjSUtLM3lNbGwsnTp1YunSpURERFCtWjW8vLzIly8fv/zyC71792br1q3ZvoeIiAhGjRqFlZUVXl5ehsTR2Lhx4wgMDKRMmTJUqlSJmJgY1q1bx4QJE/jrr7/o0aMH4eHhVKlSBUdHR/766y/GjRvHr7/%2BalJPcnIyPXv2ZM6cOYSFheHi4oK3tzf29vYcOXKEoUOHsmjRomzb%2BuTJE/z9/fn2228pVaoU1atXJy0tjYMHD9KrVy9DoiyEEFrILIVCCCHES%2BLl5cUPP/zAunXryJcvH/7%2B/hQvXjxHdezevZvSpUuzb98%2Bw2sfPnxI3759OXfuHFOmTGHz5s2G%2BJCQEJYuXYq9vT0BAQHUr1/fUHbixAlGjhzJnj17qF27Nv7%2B/oay5cuXc%2BvWLSpUqMD69espWrQoAGlpacyePZtvv/2WmTNn0qZNGwoWLJilnd999x1Dhw7lgw8%2BMPs%2BDh8%2BjIODAyEhIYbEct%2B%2BfQwZMoSQkBCuXLmCv78/Q4YMwcLCgmfPnjF8%2BHBCQkJYt24dTZs2NdQVFBTEhQsXcHBwYOPGjTg7OxvK1qxZw8yZM/nmm2/o2LEj5cqVy9KWNWvWULp0aQ4cOGBIimNjY3n77beJjY1l/fr1fPTRRyqfjBBC6EgPlxBCCPGSjBw5klKlSpGens6qVato2rQp7733HvPnz%2BfIkSMkJyer1pGYmMjnn39ukqjZ2dkxceJEQDfl/PXr1w1l33zzDQATJkwwSbYAPDw8GD9%2BPADffvutSVnx4sVp164dQ4cONSRbAHny5GHUqFFYWlry8OHDbHvr9JN%2BZCcmJoYpU6aY9OK1aNECR0dH0tPTyZs3ryHZArC0tKRbt24AXLhwwaSuggUL0r59ez744AOTZAugd%2B/eODo6kpaWxtGjR822JTY2lq%2B//tqQbAE4OjrSvn17AM6ePZvt%2BxBCiMykh0sIIYR4SUqWLMnmzZv56quv2LVrF2lpaZw4cYITJ07wzTffYGVlhaenJ2%2B99Rbt2rUjb96sf7aLFy9O3bp1szzv7u5OwYIFSUpK4syZMzg7OxMdHU1YWBgALVu2NNumFi1aYGFhwe3bt7l27RoVKlQAMEzcYU7%2B/PkpWrQosbGxxMbGmo3x8vLC0jL767yOjo7Url07y/NlypQhNjaWZs2aZVmHrEyZMgAkJCSYPN%2B1a1e6du1qdjsWFhaULVtWsa3169enRIkSWZ53cnICIC4uLtv3IYQQmUnCJYQQQrxEjo6OfPnll4wfP56QkBCOHj3Kn3/%2Byb1790hNTeXQoUMcOnSIFStWsGTJEsNJv17lypXN1mtpaUmZMmX466%2B/iIqKAjCZREPfA2ZO3rx5SU1N5fr164aEC3T3Nv3222%2BcP3%2BemJgYHjx4gH51mYcPHwK6nixzzCUwxsqWLWv2ef26Y/rkylzZ06dPs5Q9e/aMw4cPc/r0aWJiYoiPjze07dq1a4ptNTfMEMDa2hqA1NRUpbcihBAmJOESQgghXgHFihWjR48e9OjRA9BNMnH8%2BHG2b9/O6dOnuXz5MgMHDmTnzp1YWVkZXmdvb59tnXZ2doBuYg0w7Qnav3%2B/apv0SRRAeHg4Q4YMMSRvOaXUTsDkPf2TcmO3b99myJAhWYYaaiWLSwshcpMkXEIIIcQrqGLFilSsWJEePXrw7bffMmPGDK5du8aPP/5Ihw4dDHFKw/T0PTj6GP2QPCsrK0JDQ7MM0ctOSkoKH374Ibdv38bZ2ZnBgwfj7e1NkSJFDImQr68vt27dyrYOrdvKDcOHD%2BfChQsUK1aMYcOG0bhxY4oVK2ZIpHr16sUff/zxr7VHCPF6k4RLCCGEeMX17t2bdevWcfPmTS5fvmxSlpiYmO3r9GX6nq7ChQsDuiFxcXFxJpNCKDl48CC3b9/GwsKC5cuXU758%2BSwxr8qCzGFhYYSGhgIwZ84cvL29s8S8Km0VQrweZJZCIYQQ4iUICQlh0qRJLF%2B%2BXFO8fkie/j4ivStXrpiNT0tLM/Q46e9JMr7fK3PipkQ/y6GTk5PZZOvmzZvcu3dPc30v0o0bNwAM631llpSUpLggtBBC5DZJuIQQQoiXIDQ0lKCgIJYvX87t27cVY6OjowkPDwfIMpNfZGQkFy9ezPKakydP8ujRI0A3YyHoJuioXr06AJs2bTK7rWvXrtGhQwfD9PHwvx6yx48fm33N4sWLDf/PvGDyv83W1hbQDac0N7nFqlWrDD1c5ibbEEKI3CYJlxBCCPES9OnTB0dHRx4%2BfEjv3r05fvx4lpj09HSOHTtG//79SU1NpXbt2jRs2NAkxs7Ojk8//dSkhyk%2BPp5Zs2YBuunYS5cubSjTLzy8a9cu1qxZY5hlEHS9Q8OHDyc8PJy///7b8HyVKlUAuHPnDvv27TM8n5yczPTp0wkNDTUkdREREf94n%2BSGypUrkydPHtLS0tiwYYPh%2BadPn7Js2TKCgoJo1qwZ8L/ZCoUQ4kWSe7iEEEKIl6BIkSIEBgYybNgwrl%2B/zvvvv4%2BjoyMVK1akQIECxMfHExUVZVgrqm7dugQEBGSZJMPX15fIyEiaN2%2BOm5sbVlZWnD17lsTERGxtbZk0aZJJfKtWrRg4cCDLly9n5syZrF27looVKxIXF8fFixdJS0ujWrVqjB071vAad3d3fHx8OHToEMOGDaNWrVpYW1tz/vx58ubNy%2BrVq9m9ezenT59m7dq1XLp0iQ8//BAPD48XvyMzKVmyJF26dCEoKIiZM2eyY8cOChcuzMWLF0lKSiIgIICoqCh%2B%2BeUXfv75Z3r16kXPnj1p27btv95WIcTrQRIuIYQQ4iWpXLkyO3fuZPfu3Rw4cIDw8HDOnTvHkydPsLGxoUSJEnh7e%2BPn50fTpk3NzvRnaWlJYGAgS5YsYe/evdy%2BfZuCBQvSunVrRo0aZbKOlt6YMWNo0KAB69at48yZMxw9ehRra2tq1KiBn58fPXv2zDI1%2Bvz585kzZw779%2B/n/PnzFC9enNatW/PBBx/g5OREyZIluXDhAqdOneLy5cv/6qyEmX366afY29uza9cu/vrrL4oWLYqnpyeDBg2iatWqpKSkcPz4cQ4ePMjly5dNevmEECK3WaTLUUYIIYT4z5k4cSI//PADb7/9tmH4oBBCiFeP3MMlhBBCCCGEEC%2BIJFxCCCGEEEII8YJIwiWEEEIIIYQQL4gkXEIIIYQQQoj/lN9//50GDRowatQoxbhnz54xb948mjdvjoeHB/369SMyMtJQHh8fz8iRI2nQoAE%2BPj588sknhrX6cotMmiGEEEIIIYT4z1ixYgVbtmzBwcGBkiVLMm/evGxjv/vuO1avXs2KFSsoUaIE8%2BbN48SJE2zfvh0LCwuGDRvGkydPmDlzJqmpqYwYMYIaNWrw6aef5lp7pYdLCCGEEEII8Z9hbW3Nli1bKF%2B%2BvGpsUFAQ/v7%2BuLi4YGtry6hRo7h69Spnz57l7t277Nu3j1GjRuHg4ECJEiUYPHgwW7duJTU1NdfaK%2BtwCSGEEEIIIf41MTExhkXd9RwdHSlevLim17///vua4lJSUrhy5QrVqlUzPGdra0v58uUJDQ3l4cOH5MmTB1dXV0N59erVefToERERESbPPw9JuIQQwpjaYq0VKsDly1CpEly7phw7cKByebFiMG0afPYZ3L2rHJsnj3I5QNGiMGUKTJ4M9%2B4px545o1xeujQEBUG3bnD7tnLsggXK5dbW4OYGoaHw%2BLFybESEcnnBguDnBz/%2BCElJyrGg%2B6yUFC4MgwfDkiUQH68ca2enXF6oEPTuDd9%2BCw8eKMc2aKBcnpN9VrmycrmFha7tDx%2BClrsI7t9XLs%2BbF8qWhagoePpUOfaPP5TLc/J5limjXG5tDfXqwZ9/qu8zd3flcgsLyJ8fkpNzZ5/lyQOlSsHff0NamnLsb78pl9vawltvwY4dkJioHNuvn3J5hQoQFgbVq6sfzwAyLYZtwtlZd1ypXRuuX1evq1gx5fJy5eCXX6BZMzC638asKlWUy0uWhJUroX9/uHNHOVbtuF2gALRqBXv3wqNHyrEAQ4ZkX%2BbkBIcPQ8OGcPOmel1qx%2BIX5QUsYh60cCEBAQEmzw0dOpRhw4bl6nYSEhJIT0/H3t7e5Hl7e3vi4uIoXLgwtra2Jgu162Pj4uJyrR2ScAkhRE4ULqw7eSpc%2BPnryp8fLC11j7mhQAFdfQUKqCdcamxtde/T1vb525Unj%2B4PtpakUU2%2BfLr3mC%2BftoRLjY2Nrj4bm%2Bevy9paV5e19fPXlZv7zMLif/9y47ZtS0tdXZa5cFdCbn6eefPq2pU3r3rCpeZF7jO1hEuN8T57Xvb2ut%2BxTCejL70u0F3AyJNH9/i8ChbU1VWw4PPXZWWl%2ByytrJ6/rtzeZ/8h3bp1w9fX1%2BQ5R0fHF7Y9pSkr/o3pLCThEkIIIYQQQpiXGxdXMilevLjm4YPPo3DhwlhaWhKfaQRDfHw8RYsWxcHBgcTERNLS0siTcYFLH1u0aNFca4dMmiGEEEIIIYT4f8fa2ppKlSoRFhZmeO7BgwfcvHmTmjVrUrVqVdLT0wkPDzeUh4aGUqhQISpUqJBr7ZCES7xSUlNT6dq1K1u2bHnZTcmxx48f4%2BrqyvHjxwFwc3Pj8OHDL7lV/z/06tWLOXPmmC375JNPmDRp0r/cIiGEEOI1YWmZ%2B/9eoOjoaNq0aWNYa6tHjx6sXbuWq1evkpiYyJw5c6hatSpubm44ODjQunVr5s%2Bfz/3797lz5w6LFy%2BmS5cu5M2bewMBZUihMOv69essXbqUw4cPk5CQQKFChXB3d%2BfDDz80menF1dUVKysrLCwssLCwoESJEjRq1IgBAwZQqlQps3EABQoUoEaNGowbN44qRje7Lly4kCJFitClSxezrzP27bffUqdOnRe1C55baGio4f9hYWEkJCTQQO1G%2BVz28OFDfHx8KFeuHLt27fpXt/1v%2Beijj2jXrh379u2jRYsWL7s5QgghxP8vLzhB%2Bifc3NwAeJoxcc%2B%2BffsA3blXamoq165d48mTJwB0796d2NhYevXqRVJSEp6eniYTdkydOpXJkyfTvHlzrKysePPNN1UXU84pSbhEFhcvXuS9996jR48eBAcHU6xYMW7dusWqVavo3r0769ato2bNmob4JUuW0LhxYx4/fkxERARr1qyhQ4cOrF%2B/nkqVKmWJA10iEBAQQL9%2B/fjpp5%2Bws7Pj3r17rF27lrVr15q0x/h1/1Vbt26lQIEC/3rCtWPHDurUqcOFCxc4e/YstWrV%2Ble3/2%2BwtbXF39%2BfhQsXSsIlhBBCvAaML2pnVrZsWS5dumT42cLCguHDhzN8%2BHCz8XZ2dnz99de53kZjr17KKl66qVOn0qRJE8aOHYujoyMWFhaULVuWyZMnM3r06Gy7WK2tralatSqzZ8%2BmYcOGTJkyJdtt2NnZMX78eB48eMCpU6cACA4OxsnJKUdJwaFDh6hbt65hLYfHjx/TvHlz1qxZA%2Bh6yIKDg%2BnSpQs1a9akY8eORBhNOx0eHk7v3r2pV68eXl5eTJ8%2B3bDQXXBwMG%2B99Rbbtm3D19cXd3d3Ro0aZSh/9OgRo0ePpl69erRo0YIDBw6YtM3V1ZWDBw8ybdo0NmzYQGBgIC1btjQp09u4caNhtp6oqChcXV3ZsGED9evXN/RM/fjjj3To0IHatWvTvHlzgoKCVPfP1q1b8fPzo2XLlmzdutWkbOLEiXz00UdMnTqVOnXq4OXlxYYNGwzlvr6%2BrFmzhj59%2BlCzZk1atWpl%2BKz072HNmjX4%2BPiwfPlyAP7880/eeecd3N3d8fHxYd68eTx79gzQzQI0Z84cmjRpgru7O2%2B//TYnTpww1JecnMxnn32Gp6cnXl5efPbZZ4arUwBpaWlMmjSJOnXq4O3tzY8//mgo69KlC1euXDFpnxBCCCFywX9sSOGr6PV7x0LRvXv3OHXqFO%2B%2B%2B67Zcn9/f5Mhhdnp06cPJ06c4K7C2kLPnj0jPT0dy4wv3rFjx/Dy8spRe318fPD19TXc37Nq1SqKFi1qsiDe6tWrmT17NkePHuWNN95g9OjRgO4Ev3///jRo0IAjR46wefNmjh8/zqpVqwyvvXXrFufPn2fXrl1s2rSJffv2ERISAsDSpUsJDw9n9%2B7dbNmyhZ9%2B%2BslsGz/77DM8PDzo27ev4bVa/PHHHxw4cIB27doRGhrKJ598wrhx4zh58iSzZ89m1qxZignGxYsXuXz5Mm3atOGtt95i9%2B7dJCcnm8T89NNPVKlShWPHjjF9%2BnSmTp1qcuPo6tWrGTFiBCdOnKBly5YMGTLE0H0Pui78bdu2MWDAAO7evUu/fv3o0KEDx48fZ/ny5WzZsoWNGzcCsH37drZt20ZQUBB//vknzZs3Z/jw4aRlTJH89ddfc%2BXKFfbs2cOPP/5IWFgYixcvNmxr165dtGzZkmPHjtG1a1c%2B//xzQ1vs7OyoWrUqx44d07x/hRBCCCH%2BDTKkUJjQ32Do7Oz8XPXoZ3a5desWxcwsbvjgwQMCAgIoWrQo7hkLUOqTg8wGDx6c5R6uSpUqERwcDPzvHp49e/awevVq1q9fb0jiADp06ICLiwsA/fv3p0OHDkRHR3Pq1CnS09MZNGgQAOXKlaNfv34sW7aMDz74AICkpCRGjhxJgQIFqFSpEq6uroYespCQEHr27EmJEiUAGDBgQLZJ1z/RsWNHbDPWQAoODqZp06b4%2BPgAUK9ePdq2bcv27duzvY9t8%2BbNNGvWDDs7Ozw8PLC3t%2Bfnn3%2BmY8eOhpjSpUvzzjvvANCiRQuqVq3KL7/8YrivztfXl9q1awMwaNAgVq1axdmzZ6lbty4Abdu2NXy%2Bu3btonTp0oZkvVq1anTo0IE9e/bw7rvv0r59e5o3b45dxuKx7dq1Y9GiRdy%2BfZuyZcuybds2ZsyYgYODAwAzZszggdHisXXq1KFRo0YAtGnThmXLlnH//n3DtLKVK1fmstoit5mYXem%2BQgWKK62xpb/nUG2hTdAt3KmkZEnTRyVa1mPK%2BF00PCpRW7CzfHnTRyUFCiiX69e40rLWVZEiyuX6xYfVFiHWU9u3%2Bml/tUz/q/Y%2B9W1Xew9a6srJPlO7Wqwv13pVWW19J/36Q1rWIcrNz1NtDSX9enZa1rVT2xf6vzla1xtT2xf6kSFabsLPOAZmS78ulZb1qTKO39lydTV9VKP0PvULcKstxK2ntpZhxt9tw6MStXOWsmVNH5WorYmlX5tQ6xqFGfcamfXGG6aPShSG0L1wr2GPVG6ThEuY0Cc2xr0YJ06coG/fvoBuWFipUqVUe2r0rzdOfIwTJ1tbW2rVqkVgYKAhqYiPj6ewmQOw2j1cDg4OTJgwgVGjRjFo0CAqZzrYG0/rWaZMGUA3g01kZCT37t0z3Hipf3/5jE42ihQpYmgfQP78%2BUlJSQHgzp07lDU6eD9vkppZ6dKlDf%2B/efMmR48ezdJWfQKW2ePHj9m5cyezZs0CdJ9r%2B/bt2bJli0nClXnK09KlSxMTE2O2vFChQtjZ2ZmUG7cxKirKkNjqlS9fnj179gC6HsUZM2Zw8OBBEhISDDFPnjwhLi6OBw8emOzPKpkSGuMy64yFZY2HHBYuXJgLFy6Y3R/ZCQoKyrrS/YgRDBsxQv3FRsMvn1v//rlXF0DG9zVXKAwNzjEtJ07Vq2ury9v7%2BdqS2dtv515dbdvmXl1a9plWWhd91ZrMallDJ%2BOYqyo3P08tF0O00rogttbFy81cgMzCz09bXdkc//9RXZnunX4ugYG5VxfAggW5V9fEiblXV/362uIyLe5rltFojmwZ/b3910nC9dwk4RImnJ2dsbCwICIiwtBz4%2BHhYbg5MTg4OMsJqjkXL14kT548JkmIlskvzM1GqEVUVBT58%2Bfn%2BvXrWcr09xDB/1YTt7CwMKzNsHPnzmzrtVQ4yKSmphqGwxnX/U8Yt1Evj1GPho2NDT169OCzzz7TVN9PP/3EgwcPGDNmjGGfpqWl8eTJE27evImTk5PhOWPp6ekmn0HmdmUuN26jcfJjTB8/ZcoULl26xPr16ylfvjyRkZGGe9r0%2B9ncfshcj1J5Tj8Dsyvdt28P336b/YuqVNElWz17gtHwS7M6dVIuL1lSl2ytXAl37ijHau3h6ttXd8ITHa0ca3RDsVnly%2BuSrcmT4cYN5dhx45TLbWx0icPVq5BxwSJbt24pl9vZ6U7Ojx6Fhw%2BVYwFu3lQuL1pUl2z98APcu6ccq6WHq21b2LMH4uKUY9XuVc3JPsv4PmfL0lKXbCUlgcJ3zMCoZ9ksKytdshUTAxn3tGbLaO0bs3LyeTo6Kpfnz6/7foaHQ6bh01moJWUWFrrPICUFtBxXjC4imZU3ry7ZunsXjC5omqV2L2qhQrpk69Ah9c9K7YKJq6su2Xr/ffVjAqj3cAUG6o5Bf/2lXpeWHq4FC2DECN33QImWHq6JE2HWLIiKUo5VO27b2uqSrT/%2BgMRE5ViA2bOzL3vjDV2yNWQIXLmiXpf4z5KES5iwt7enYcOGBAYG4m3miqPSCbGxgIAAGjdubBg%2BpkXhwoWJUztJMePq1ausWbOGDRs2MGDAgCzTg980OuG6ffs2ACVLlsTJyYnIyEiSkpIomHHlNy4uDisrK5NerewUL16cv//%2B2/DzlRwcLPPly2foKcvcRnOcnJyyzMhz584dHB0dTZIevS1bttC5c2fDcEm9kSNHsnXrVsN0p/ohpHq3b982DCHM3K6EhAQSExMpmc0QLScnJ/7880%2BT5yIiIiiXMazu3LlzdO3a1ZCEGy9CWLhwYQoVKsS1a9eontHDERYWxpUrV%2BjQoYPZ7WUWFxdnGI6oldmV7q9d0/bi8HA4fVo5xsNDW1137kCmzyILLQmXXnS0en1aTohAl2ypxaoNT9RLSVGP1XoMePhQW6xaIqt37556rNbjWVwcZBqqmkVu7jONx2WePdMWm83FkyxSU9Vjc/PzVEt49ZKTdcmlErX9oL/Ylp6ubZ%2BpJZ56T5%2Bqx96/r62uBw/UY8%2Bc0VbXpUvaYtWGm4LueHH2rHqclt4%2B0CVbaol7pouH2YqKUk/e1JJnvcREbbFahgJeufJyhwyqkR6u5yZ7UGTxySefcO7cOUaNGkVUxpWg%2BPh4Nm/ezNdff20yJXxmN2/eZMyYMVy/fp1PPvkkR9utVKlSju/BSU9PZ9KkSfj7%2B1O1alXGjx/PlClTeGh0pXT79u3cuHGDpKQkVqxYQY0aNXB0dMTHxwcHBwdmz55NYmIisbGxjBgxItsFdjNr1KgRmzZtIjY2lvv377Ny5cpsY62trYmKijIMpXN2dmbfvn08ffqU0NBQfv31V8VtdenShVOnTrF161aePHnCxYsX6dq1Kz///HOW2Bs3bnDixAneffddypcvb/KvS5cu/PDDD4aerVu3brFt2zZSU1MJCQkhPDycpk2bGur65ZdfCAsL4/HjxyxbtoxixYqZDGs01rZtWyIjIwkKCuLp06ecO3eOH374gbczhmqVLVuW0NBQnjx5wpkzZ9i9ezeAYYhip06dWLlyJdHR0cTFxTFt2rQc/T5cvnw5y3BSIYQQQoiXTRIukUXFihXZunUrNjY29OzZk5o1a9KmTRt%2B%2BuknPv744yxrFQwePBg3Nzdq1KhBz549sbGxYevWrYaeDa28vLzMzjKnrz/zv4CAAIKCgoiOjmbAgAEAvPXWWzg7O/PVV18ZXt%2BlSxfGjBmDt7c3V65cYe7cuQBYWVmxZMkSIiIiaNiwIR07dsTZ2ZkJEyZoau%2B4ceOoUKECbdq0oUuXLrz99tvZTpnfqVMnDh48SKtWrUhLS%2BPjjz/m9OnT1KtXjwULFhjukcuOi4tmiv1EAAAgAElEQVQLc%2BfOZeXKldSrV49hw4bRr18//MyMz9%2B6dSuurq6GniJjb775JvHx8Rw6dAiAxo0bc/r0acM07J9//rlJ0tK5c2fmzJmDh4cH%2B/btIyAgwGyPGujuj9N/Jh4eHowbN44RI0YY7hkbM2YMV69epX79%2BsybN4/PPvuMli1bMnjwYMLCwhgzZgw1a9bEz88PPz8/KlWqxNChQxX3i15iYiIXLlzI8SyXQgghhFAh08I/NxlSKMwqW7YsM2fOVI27pGXMt8a4Tp06ERAQwLlz5wy9aFpe1717d5Ofv/vuO5OfnZ2d2bJli9nXVqlShXXr1mXbnk6ZxnIb121ra8vChQtNyo2HyRm3XZ9E6Hl7e2eZeKRbt25A1gX79Nq2bUtbDTfjjx492jD1fWb29vacO3cOgD179mBpacmUKVOyXTOtaNGirF692myZuTY2adKEJk2amI2vVq2aYU0xvcz3A06dOpWpU6dmeW3mz9TFxcVk%2B1u2bOGNN97IdsZGIYQQQvxDr2GClNtkD4pXhn79rCVLlrzspoj/kKSkJNasWZPtCvJCCCGEEC%2BTJFzilTJ8%2BHDu3buXbY%2BUEJnNnDmTxo0bm0yUIoQQQohcIkMKn5sMKRSvFCsrKzZv3pxr9Wkd8vg60q/RlZ0DBw78Sy15PtOnT8/dCgcOVC7X35vYqZP6LITLlyuXu7vDp59CcLD6jIdalkxwd4ePPoItW9TrU1vfST8Ft4YZ9wKOK%2B8HR0foVh2CzldXnbxvaF2VKbP1a0mVLKlt1kC1tXL0s661bas%2B457aRED6qanPnwczS1QY21hcea23IkWgTXX4KbK66uR9PSqqTGevv%2B8yLU3TbG67wioolhcqBI3LwMGrZVRnJX9z%2BlvKAVWrQqtWuqURLl5UjlVbNLhKFdi4Eb78Un3JBrUJdipU0E0hPmWKtplL1dZIKlsWxoyB9evVpyXv3Fm5XP8dKFVKffFjo0mQzNIvuFuvnvo07aA8W6r%2BmOLurm1RZrWZJI0XhldbMuAtld8z/YyITZqorvV32ll5Tb78%2BaEKEF7al2QNa5y7d1b4W6pfX9LXV/uC0eI/SRIuIYQQQgghhHmvYY9UbpOESwghhBBCCGGeJFzPTfagEEIIIYQQQrwg0sMlhBBCCCGEME96uJ6b7EEhhBBCCCGEeEEk4RLCjFu3buHm5sY1LbNTiVxx4sQJ3NzceKI2U5wQQggh/j0yLfxzkyGF4rXg6%2BtLdHQ0lhlf8nz58uHq6srIkSOpb2ba6DJlyhAaGpor296yZQu%2Bvr44ODhoin/27BkbNmxgy5Yt3LhxAysrK1xdXfH396d58%2Ba50qZXxd69e3F1daV8%2BfJ4eHjk2j4XQgghRC55DROk3CZ7ULw2Pv30U0JDQwkNDeXQoUO0aNGCgQMHEhkZ%2BcK2mZaWxqxZs4hTW0jHyMSJE1m7di0TJkzgzz//ZP/%2B/bRt25aRI0eydevWF9bWl2HhwoXcuHHjZTdDCCGEEOKFkYRLvJby589P3759KV68OAcPHqRXr1589dVXtG/fnoEDBxIVFYWrqytXr15l5MiRfPTRRyavX7NmDW3btgXg5s2b9OvXD09PTzw9PRk9ejQPMlYDrV%2B/Pg8fPqRDhw4EBAQAcPToUbp164a7uzuNGjVi8eLFhnqPHDnCjh07WLRoEd7e3uTJkwc7Ozt69uzJpEmTePTokSH2%2B%2B%2B/p23bttSqVYs2bdrw448/Gsp69erF0qVLGTduHHXq1KFRo0Zs377dUL58%2BXKaNWtGrVq1aN26taHs%2BPHjuLq68vjxY0PsqFGjmDhxIgDBwcG0b9%2BeoKAgGjZsSP369dmwYQO//fYbrVq1ok6dOkyePNnwWl9fX9asWUOfPn2oWbMmrVq14tSpUwC89dZbXL58mcGDB/PRRx9l2fadO3f48MMP8fT0pG7duowaNYr4%2BHhDO%2BvWrcvBgwdp06YNtWvXpl%2B/fiQkJPyj3wchhBBCZEOGFD43GVIoXmtpaWnkyZMHgN27d7Nw4ULc3Ny4deuWIaZNmzZ8/vnnJrEhISH4%2BfkBup6zMmXK8Pvvv5OYmEi/fv1YsmQJEydOZPv27TRv3pzt27fj4uLCnTt3GDx4MJMnT6Z9%2B/ZcuXKF/v374%2BTkRPv27dm7dy8eHh64urpmaWvXrl0N/z9w4ABfffUVy5Yto1atWoSEhDBu3DhcXFwMr12/fj0zZsxgxowZLF26lKlTp%2BLn50doaChr165l06ZNlCpVisOHDzNs2DB8fHw07bNbt24RHR3NL7/8wsqVK/nqq69o3rw5P/zwA2FhYfTq1YuuXbtSo0YNAFavXs2CBQuoWrUqCxcuZMiQIfz%2B%2B%2B/s2LEDV1dXlixZQuPGjTl%2B/LjJdgYPHswbb7zB/v37SUlJYcSIEUyePJkFCxYAkJyczO7duwkKCiI5OZkuXbqwadMmBgwYoOl9AMTExBAbG2vynGPBghRXGv5ZsqTpoxJ3d%2BXyKlVMH5VYWKjH5KS%2BsmWVyytWNH1U4OioXF6kiOmjooIFlcvz5zd9VJMvn3K5lZXpoxJnZ%2BXy0qVNHxWo7YtChUwfFWUcl1TL1eIybTs7tramj4qqVlUur1DB9FGJWvv1n4/a5wRQvrxyeQ4%2BS0D9S1C8uOmjktz8DrzxhnJ5uXKmj2qUTpT1xxS1Y4tecrJyuZOT6aOSYsWUywsXNn1UoLZbra1NH1Up7Y8SJUwflURFadygeBVJwiVeS0lJSXz//ffcv3%2BfJk2asHv3bmrWrEnNmjWzxDZt2pTHjx9z8uRJ6tevz7179zh16hRTp04FdL1FFhYW5MuXDwcHBxo1amToxcls165dVKpUiY4dOwLg6upK9%2B7d2b59O%2B3btycyMpIKGk48tmzZwptvvkm9evUA8PPzIzAwkJ9//tmQcOl70ADatm1LQEAAMTExPHz4EEtLS2xsbLCwsMDHx4eTJ09iaWnJlStXVLedkpLCgAEDyJcvH82aNWPBggV0796dggULUr9%2Bfezs7Lhx44Yh4fL19aV27doADBo0iFWrVnH27Fnq1q2b7TYuXrxIWFgYy5Ytw9bWFltbWwYOHMiQIUMMk2qkpaXRv39/7O3tsbe3p27dukRERKi231hQUJCh51Fv6JAhDBs%2BXP3F/furx3z6qbaGbNigLU6r9etzr65581RDummsqlUrLVFZv4NmVaqkcasaaTkRnjFDW11Dh6qGtNFWEw0aaIlSP4kEwM5OU1jjxtqqq1NHS2WbtFU2e7a2OC1mzsy9urQcC3KiV6/cq0vLhRWjERSKMkYx5IoJE3KvLoBJk3KvrpYtVUM07FVA2zUCXYUa9oe/v3rMsGEaN/gCvIY9UrlNEi7x2pg%2BfTozMk6YbGxsqFq1KmvWrKFUqVKAbqIMc2xsbGjSpAn79u2jfv36HDhwgEqVKuHi4gLA%2BfPnmTt3LpcuXSI1NZW0tDRDspHZzZs3CQ0Nxc3NzfBcenq6IcmysLDg2bNnqu8lKioKLy8vk%2BfKly9v0jNX1uiqmo2NDaBLlry9valWrRq%2Bvr54e3vTuHFjOnToQIECBVS3C2Bvb0/%2BjEuA%2BTJ6D0oYXZ2ztrY2GZJonEAWKlQIOzs7YmJiVN%2Bfvb09jkZXjZ2cnEhNTSU6Otrse8yfPz8pKSma3oNet27d8PX1NXnOcdUqmD49%2BxeVLKlLtlauhDt3lDcQHKxcXqWKLtnq2RPCw5VjtfZwrV8P776rXp%2BWHq5582DUKFBJZIN6blcsL1JEl2zt3QtqtzN2q3pOOSB/fl2ydfmy%2BhVygKJFlcutrHTJVkwMpKYqx6qdvJYurUu2AgLg9m3F0J8aKydvhQrpkq0jRyBjhHK22njFKwfkyaNLth4%2BhLQ05Vjg4DnlBM7WVpdsnToFiYnKdTUOeEc5oEIFXbI1YQKozQqrpYdr5kz46CO4fl05VksP1/DhsHCh6mcJaOvh6tULvvtO97umJNMxKYv8%2BXXf9fBw9e/AypXK5eXK6ZKtWbNAy/3Maj1cEyboPk8tvTFaergmTYKpU%2BHmTeXY1q2VywsX1iVbISEQr/x9CXfrqlhuba37tb12DYz%2B1GWrynaFiwklSuiSrTVrwOhv2ytHEq7nJgmXeG18%2Bumn9OjRI9vyPAp/zNu2bcuXX37Jxx9/zN69ew3DCRMSEhg4cCA9evRgxYoV2NraMn/%2BfI4cOWK2Hn3ytnTpUrPlzs7OnD9/XvW9ZDd1uoXRSbllNgfIfPnysXTpUsLDw9m/fz/r168nMDCQ4GySg7RMJ2jm6rVQSAYyJ5Dp6emK8ZD9%2B8u8rezeo1bFixeneOaejaQk3T81d%2B6on6CcPq2tIeHh6rFaEq6c1Kd2Fq8XEQEXLiiGZBqVma24OA2xThr2PehO1rR8Thp7dUhNBbUlCdRO4vVu31aNjXNTLDZ48EA9SdWSRBniNMRq/dVITNQQe/GitsquXVOPzavxlOX6dfULDhoubAG6z1LL8iBazrxBl2ypJSNafq9B23dAw6gFQHcs0xKrZVhqVBRcvaoep/V93rypu8CiRGHEhIn4eLh7VzFEy3Uc0H3kmmK1JJ/R0TJk8P85SVmF0KBJkybcv3%2BfU6dOcezYMUPCFRERQVJSEv369cM244aGCwonp05OTvz111%2Bkp6cbnouNjTUkGK1ateL06dNmhyQGBQUxLGNIgZOTU5bhcxEREZTTMA4/NTWVxMREqlSpwpAhQ9i2bRsWFhYcOXIE64xB6clGf0WedxbHm0ZXJhMSEkhMTKSkyv1P5cqVIyEhgbtGfxgjIiKwtrY26U0TQgghxAsmk2Y8t9fvHQvxD9jY2NC0aVPmzp1L5cqVccq4ibd06dJYWlpy%2BvRpHj16xJo1a7h79y53797l6dOnhqF8169fJzExkXbt2hEfH8%2BSJUtISUkhMjKSvn378u233wK6WQ07derEhx9%2ByN69e0lNTeXhw4esW7eOWbNmGe796tChAzt37uTMmTOkpqYSHBzM5cuXadeunep7CQwMZMCAAdzJGA539epVEhIScHJyomzZsuTJk4eff/6Zp0%2Bf8sMPP/D3338/17775ZdfCAsL4/HjxyxbtoxixYoZhlRaW1tz48YNEjONS3Jzc8PFxYW5c%2Bfy6NEjoqOj%2Beabb2jXrh1WWiY3EEIIIYR4RUjCJYRGbdq04c8//zRJakqUKMHo0aP5%2BOOPadasGQkJCcyZM4cnT57Qs2dPihUrRuvWrRkxYgTz58%2BnSJEiLFmyhP379%2BPh4cF7771Hs2bN6Nu3r6HOL774gsGDB7No0SLq1atHy5Yt%2Be2331i1apVh4eN27doxaNAgxo8fj6enJxs2bCAwMBBnDbNz9enTh8qVK9OxY0dq167NyJEjGTt2LFWrVqVYsWKMHTuW%2BfPn4%2BXlxcWLFw29ef9U586dmTNnDh4eHuzbt4%2BAgADD8M3u3bvz5ZdfMm7cOJPXWFhYsGTJEmJiYmjatCnvvPMOtWrVYlJu3jwthBBCCHXSw/Xc5B4u8Vo4cOCAYvl3331n8nPZsmW5dOmSyXOtW7fO8hzAgAEDskxFfujQIcP/Fy5caFLm5eWV7f1SoLsvqXfv3vTu3VuxzQMHDmTgwIFmy9Tez5QpU5gyZYrZ1/bt29ckATTWqVMnOnXqZPjZxcUlyz45fPiwyc9FixZl9erVZuv7%2BOOP%2Bfjjjw0/G9fl7OzMqlWrzL7O09Mzy3ZnzZplNlYIIYQQz%2BE1TJBym%2BxBIYQQQgghhHhBpIdLCCGEEEIIYZ70cD03SbiEEC%2BM2lDOV5LatMf68jx51GPVpnLXl1tYqMcazWypGpOerh6vNj24ftrsZ89UY9XmMdHP5p03r3qs2pTNhrWy4uMhIUGlMqBaNeVy/YlEoULqU4Xb2yuXZ8xUiq2tamzGEnbZ0u8nKyv1WNXFsPLl061DlJysPvU9YGWlvHZZjj7Pp0%2BVy/W/W2lp6rFqJ33Gv7Nqn6XaftD/nmlZLgDU264vf/pUPTY3v1Bq%2B8z4GKTlpDpjJluz9L%2Bo%2BfIpx%2BlpnRZeC/13Lzv6dSYLFFCNVatK/9YKFNA2S77i552T3/%2BXSRKu5yZ7UAghhBBCCCFeEOnhEkIIIYQQQpgnPVzPTfagEEIIIYQQQrwg0sMlhBBCCCGEME96uJ6b7EEhNOrbty/z589/Kdv%2B4osvcHd3Z/ny5S9l%2BzkRHBxMw4YN//HrXV1dOXjwoNmyq1ev4urqSlRU1D%2BuXwghhBA5IAsfP7fX7x2L5xYREcGYMWNo0KABtWrVwtfXl%2BnTpxMfH/%2Bym5ar4uPj2bx5s%2BHnwMBARo4c%2BVLasXbtWubOncvAgQMVE5qGDRsqLqoshBBCCCH%2BXZJwiRy5ePEiXbp0oWTJkuzYsYNTp06xePFiLl26RI8ePUhJSXnZTcw1x44dM0m4XpakjKlzy5cv/5JbIoQQQojXjvRwPbfX7x2L5zJ16lR8fHwYN24cxYoVI0%2BePFStWpVvvvmG2rVrExMTA8CdO3f48MMP8fT0pG7duowaNcrQA3b8%2BHHq1q3LwYMHadOmDbVr16Zfv34kZKypc%2B3aNfz9/alXrx4eHh4MHTqUuLg4AHr16sWcOXMM7ck8xMzX15eNGzfSq1cvatWqRffu3fn7778ZM2YM7u7utG7dmvPnzwO6oW8tW7Zk8%2BbNNGrUiNq1azNp0iSePn3Knj17GD16NOfOncPNzY3IyMgs2/7%2B%2B%2B9p27YttWrVok2bNvz444%2BGsl69erF06VLGjRtHnTp1aNSoEdu3b892v16%2BfJn333%2BfevXq4enpyeTJk3n8%2BDHXrl2jdevWAHTo0IElS5bk6PNSaqN%2BX%2BkdPHgQV1dXw8/Lly%2BnWbNm1KpVi9atW5u0Pzw8nN69e1OvXj28vLyYPn06qfp1azKEhITQvHlz3NzcGD9%2BvKH82bNnLF68mJYtW1KzZk3efvttjh49arb99%2B7do3///ri7u9OuXTvOnTtnUq7URiGEEEKIV4FMmiE0u3fvHqdOneK7777LUmZra8vMmTMNPw8ePJg33niD/fv3k5KSwogRI5g8eTILFiwAIDk5md27dxMUFERycjJdunRh06ZNDBgwgGnTplGnTh1WrlxJUlISEyZM4JtvvuHjjz/W1M4NGzawcOFC7Ozs6NixI%2B%2B%2B%2By7Tpk1jxowZDBkyhICAAJYuXQpAdHQ0oaGh7N27l9u3b9O7d29cXFzo3bs3V65c4ffff2fTpk1ZtnHgwAG%2B%2Buorli1bRq1atQgJCWHcuHG4uLgYkpb169czY8YMZsyYwdKlS5k6dSp%2Bfn5YZVqo8smTJ/Tt25eOHTuyfPlyYmJi%2BOCDD1iwYAHjx4/np59%2Bonnz5mzfvh0XFxfNQwa1tDE7p06dYu3atWzatIlSpUpx%2BPBhhg0bho%2BPDwUKFKB///706tWLFStWEB0dzeDBg1m1ahUffPABoOuVO3nyJDt37uT69eu88847tGjRglatWrF%2B/Xo2b97MsmXLqFChAuvWrWPw4MHs27ePokVNF1ydMWMGjx8/5tdffyUlJYWxY8dqamPmerITExNDbGysyXOOBQpQXOn1JUqYPipxd1cur1LF9FGJloWPc1JfmTLK5S4upo8KihVTLi9c2PRRUU4WF9ZC7UqqvlzLFddy5ZTLc/C7obYv7OxMHxWprYxsvFCuBmrbLFjQ9FGR2sLTFSqYPipRa39O6ipbVrlc//1Q%2B57oFS%2BuXJ6T44Z%2Bkd7s2NiYPipR%2B/7q94Pa/tBTWtA4p/tM7Tjt5GT6qMTBQbm8UCHTRwVqazYbL0quidJxIye/F5GRGjf4AryGPVK5TRIuoVlkxpe9gsofs4sXLxIWFsayZcuwtbXF1taWgQMHMmTIEJ48eQJAWloa/fv3x97eHnt7e%2BrWrUtERAQADx48wMbGhrx582Jvb8%2BSJUuwzMGXvWnTpoY21qxZk6SkJMM9Tz4%2BPnz//feG2MePHzNy5Ejy58%2BPi4sL7dq149dff6V3796K29iyZQtvvvkm9erVA8DPz4/AwEB%2B/vlnQzLj7u5Oo0aNAGjbti0BAQHExMRQJtMfo4MHD5KcnMywYcPIly8fTk5OvPvuu6xcuZLx48eb3f7du3dxc3PL8rx%2B/2ptY3YePnyIpaUlNjY2WFhY4OPjw8mTJ7G0tGTPnj2kp6czaNAgAMqVK0e/fv1YtmyZIeF6/Pgxw4YNo0CBAlSrVo2KFSty7do1Q7t69uxpaEPfvn1ZuXIlv/76K507dzZpx759%2B5g3b57h9%2BS9997jjz/%2BUG2jVkFBQQQEBJg8N3TIEIYNH67%2B4r591WM%2B%2BkhbQ9av1xan1YYNuVeXholiOqtG6DRvriWqsbbK6tTRuFWNtGQPGi/60K%2BfaoimXQHUr68lqpS2yhwdNYU10FhdrVpaKtuqrTKj0QPPbdas3Ktr9OjcqwvA3z/36qpUST0m0/EtWxMnPl9bjOX2Pps0KffqyvibrERDegdAKY3fE03HDQ3HDD78UOMGXwBJuJ6bJFxCMwsLC0A3JExJVFQU9vb2OBr9cXdyciI1NZXo6GjDc2WNrqjlz5/fcP/X0KFDGTduHNu2bcPHx4c333yTmjVram5nyZIlDf%2B3trbG1uhKuLW1tUlSYm9vj4PRlbHSpUtz6NAh1W1ERUXh5eVl8lz58uW5deuW2fdnk3El0tw9blFRUZQrV458Rlepy5cvz%2B3bt7Pd18WKFePw4cNZnjeeTENLG7Pj7e1NtWrV8PX1xdvbm8aNG9OhQwcKFChAZGQk9%2B7dM0n40tPTTdpfpEgRChqdwNrY2Bj2e1RUFC6Zrro6OTllaVdcXBwpKSkm%2B9HZ2VlTG7Xq1q0bvr6%2BJs85rl4NRr21WZQooUu2AgPB6PfZrC1blMurVNElW%2B%2B%2BC%2BHhyrFae7g2bICePdXr09LDNX8%2BjBwJV68qhm7136lYXriwLtnavx/U5tbp7Gh%2BhkoDW1tdsnXqFCQmKseCei%2BjpaUu2UpKApVjG4sWKZeXKKE7cVq1SvV3Y7%2Bn8kmYnZ0u2frjD3j4UHmzzav9rRyQN68u2YqNhadPlWOBI9eUzyQLFtQlW2fP6nabkgZzVdLxChV0ydbYsZBxUSZbWnq4Zs3SJQ9qdWnp4Ro9Gr7%2BGjQcMzX1cPn7w5o16scNPz/lchsbXbJ1%2BTKo3Te9bJlyedmyuv01axZomf1VrYcrJ/ss4zaCbDk56ZKtqVPh5k3l2LffVi4vVEiXbP3%2BOzx4oBh6062dYrmVlS7Z%2BvtvyDSS3iyndTOyL8zBMUOYunXrFlOmTOHs2bMUKFAAPz8/xowZk%2BWia9%2B%2BfTlx4oTJc0%2BfPmXIkCEMHTqUXr16cerUKZPXVahQgR07duRqeyXhEpo5ZXTrX758mRIK3d/GCU1m%2BqQNyLYnomnTpvz666/89ttv7N%2B/n/fee4/x48fz3nvvZYk1l5BkrlepxyMtLc3k5/T0dJM2Zie796jl/f2Tuv6JnNZrvC/z5cvH0qVLCQ8PZ//%2B/axfv57AwECCg4OxtramUqVK7NyZ/Um2Utu1tsu4N1Qv3SjpUGqjnaZxWFC8eHGKZz5RevRI909NdLT6EI/TpzW1g/Bw9VgtCVdO6tM6q%2BjVqxAWphhy9662quLjNcTmUzkJ00tMVD9hA/UkyjhOLVbrkB4Nvxvxyp3MBg8favioFI65Jp4%2B1RSrluDpJSVpiL1wQVtl166px6oNnTSuS%2B2Cg9Z9dusWZIy%2ByJX6oqPVExstxx/QJVtqsSoXSwyiorTFahnGqHWf3b%2BvHgO6ZOvy5dyp68ED1djHj7VVlZqqMVbLcUPL35OX6RXs4Ro2bBjVq1dn37593Lt3j0GDBlGsWDH69OljEhcYGGjy84MHD/Dz86Nly5aG56ZNm0anTp1eaHtfvT0oXllFihShfv36rF69OktZcnIynTp14uTJk5QrV46EhATuGp1ZRUREYG1trZio6cXFxVGwYEH8/PyYO3cuU6ZMISgoCNCdZBv3Et1Uu%2BqlIjExkftGB9/bt29raqOTk5NhCKReREQE5dTu8TCjXLlyREZGmiQiERERlC1bNkfD43LaRqV9mZqaSmJiIlWqVGHIkCFs27YNCwsLjhw5gpOTE5GRkYbZE0H3mSVq6W0w066nT59y48aNLPvOwcEBKysr/v77f1fvr1y5oqmNQgghhPj/KTQ0lPDwcMaOHYudnR3Ozs74%2B/sbzhWVzJ8/n5YtW6reWpHbJOESOfLJJ59w5swZRo8ezZ07d3j27BkXL16kf//%2B2NjYULNmTdzc3HBxcWHu3Lk8evSI6OhovvnmG9q1a5dlwojMUlJSDLPNPX36lJSUFMLCwgy9a87Ozhw9epSEhARiY2NN7sf6J/Lly8fixYtJSUnhypUr7N692zDEzNramtjYWOLj47P0ynTo0IGdO3dy5swZUlNTCQ4O5vLly7RrpzwUwZzGjRuTN29eFi9ezJMnT4iIiGDt2rV07Njxud6bWhudnZ0Nk1HcuHHDpMcqMDCQAQMGcOfOHUA3G2RCQgJOTk74%2BPjg4ODA7NmzSUxMJDY2lhEjRpjM4KjWrg0bNnD16lWePHnC0qVLSUtLyzK0z8rKCi8vL9auXcvDhw%2B5desW643udVJqoxBCCCFyyQuYFj4mJoawsDCTf/qZrtWEhYVRpkwZ7I0mWapevTrXrl1TvPh748YNtm3bxrBhw0ye//HHH/Hz88Pd3R1/f//nvphvjgwpFDlSpUoVNm3axKJFi3j77bd59OgRJUuW5M0332TAgAGGhGrJkiVMmzaNpk2bkj9/flq0aGEyw1x2bGxsWLBgAV9%2B%2BSWTJ0/GxsaGevXqMSnjptl%2B/foRFhZG48aNcXJyYsKECRw8qHLPh4JChQpRuXJlWrZsycOHD3nrrbfo3r07AC1atGDDhg00bdo0S5d0u3btuHXrFuPHj%2Bfu3btUrFiRwBPpFl8AACAASURBVMBAk3uMtCpYsCDLly9n1qxZeHt7U7hwYTp27GiYgOKfUmvjyJEjGTduHJ6enlStWpV%2B/foxYsQIAPr06cPt27fp2LEjKSkplCpVirFjx1K1alVA9/lOnz6dhg0bYmtrS/PmzZkwYYKmdvXt25e4uDgGDBjAgwcPqFq1KmvXrqWQmdmjvvjiCyZMmEDjxo0pVaoUw4cP59SpU5raKIQQQohc8AKGFJqdtGro0CzJkDnx8fFZzhn0yVdcXJzJvfvGli9fTufOnU3u3XdxcSF//vzMmTOHZ8%2BeMX36dPr378%2BuXbtM7k1/XpJwiRxzcXFhvsrMZc7OzqxatcpsmaenJ5cuXTJ5bpbRrFLe3t788MMPZl9bunTpLL1axnUdOHDApGzevHkmP/fo0YMePXqYPNetWze6deuWZVsVK1bk119/NfyceTr8gQMHMnDgQLPtzBxbtmzZLO/ZWM2aNdmQzcxymV/bqVOnbMcaZ55IQ6mNVapUyXIfln47%2BfLlY8qUKUyZMiXb165bt85smbn2GU%2BtnzdvXiZMmJBtgmb8XkuUKMGaNWuyLVdqoxBCCCFeTWYnrdI4kyqY3tOtRXx8PNu3b2fPnj0mz3/%2B%2BecmP0%2BdOhVPT09OnjyJt7d3jrahRBIuIYQQQgghhHkvoIfL7KRVGjk4OBCfaTah%2BPh4LCwsTHqvjO3fv58KFSqo3mtva2uLvb29yazauUHu4RJCCCGEEEL8J9SoUYO///7bZNKz0NBQ3njjDZMlaYzt37/fZOkc0E2c9vnnn5skV/fv3%2Bf%2B/fv/aBI0JdLDJV5bSkPzxGvszBnlcv00zJcuwV9/KcdmWm8sC/1aQGXLqq4NQ6YlDMzSr61Vpoz6XOJq6xQVLqx7vHVLNXZQXw2L0WBF57c0xM04pVxesiQ0bgwXL0LGhCmKMhb%2BzlbevLpFr1JS1NeoyjT8JQv9PvPwUF2UtrOXyjpFVlZAcZq7xagv9mOpcp%2BBfv0qtXWsMqgte6ivplIlDct6vfmmcrn%2Bd7ZRI6hYUTlWbY09/Uq0zZrp1qRTUqOGcrn%2Bs2zTRtsSCtncM2Kgv9/Ex0f9u672OeXJ879HtdgbN5TL9fv077/VY423bY5%2BUqzISDCaUTZb9%2B4pl%2BunoI%2BMVJ8W/vZt5XL98TM2VnW9q0rXQ5TrsrMDJy%2Bcbh/TtoaC0sy5%2Bt/Ts2fVlzJ4mV6xaeGrVauGm5sbc%2BfO5aOPPiI6OprVq1fTt29fANq0acP06dOpZ3T8v3jxIg0aNDCpx9bWlrNnzzJ9%2BnSmTZuGhYUFU6ZMwdXVFXe1NRxz6NXag0IIIYQQQohXxwuYpfB5LVy4kJiYGBo2bMj7779Px44d6dmzJwDXrl3jUaY16mJjYylWrFiWehYvXkx6ejqtW7emadOmpKamsnz58udalscc6eESQgghhBBC/GeULFmSFStWmC0zN0nZ%2BfPnzcaWLl06y2yJL4IkXEIIIYQQQgjzXrEhhf9FsgeFEEIIIYQQ4gWRhEu8lnx9fdm4ceM/eu3BgwdxdXUF4MSJE7i5ufHkyZPcbN5/jvE%2BEUIIIcT/I6/gPVz/NTKkULyyfH19iY6ONnvj4syZM3lTbfarf4GHhwehoaG5Utfx48d5//33OXfuHNbW1rlSp1bx8fGEhITQtWvXXK87KiqK5s2bY2VlhYWFBQB58uShTJkyvPvuu4abXJ9XWFgYCQkJWWYhEkIIIcRzeA0TpNwmCZd4pX366af06NHjZTfj/71jx46xefPmF5Jw6W3fvh2XjGnSnz59ypEjRxgxYgSFChXKleR569atFChQQBIuIYQQQrxSJGUV/1l//fUXtWrVIjxj7Yr09HS6d%2B/O9OnTAUhOTuazzz7D09MTLy8vPvvsM7ND/3r16sWcOXMMP1%2B9ehVXV1eioqIAuH79Ot27d8fd3Z2uXbtyw2itkuPHj%2BPq6srjx48BcHV1Ze/evfTo0YPatWvTvn17Lly4YIjfvHkzDRo0oF69enz11Vd88sknTJw40ez7mzhxIlOmTGHSpEm4u7vTvHlzTp06xfLly/H29sbb25vg4GBA14vk6urKzz//TLt27ahZsybvvfcesbGxAAQHB2dZ8O%2Bdd95h0aJF7Nmzh9GjR3Pu3Dnc3NyIjIzk2bNnLFy4kBYtWlCrVi06d%2B7MyZMnDa9V2ida5M2bl8aNG%2BPn50dIyP/WPDl69CjdunXD3d2dRo0asXjxYkPZokWL%2BPDDD1mxYgUNGzbEw8PD8FlPmzaNDRs2EBgYSMuWLXPUFiGEEEIokCGFz016uMR/VuXKlenTpw9ffPEF3333HTt27CAmJobRo0cD8PXXX3PlyhX27NkDQP//Y%2B/M42pM38f/rtBCUpQlwqTJjClOlhjRIkMMsisMU4QwYxv7NqFZMIwlW7b5YGT7TH6YmYTGMvjOqCHGGjMljKIotKh%2Bf5zO%2BXQ453mepgyfj/v9enk9Ovf1XPfyrNdzX/d1DRvGypUrGT9%2BfKnqmTp1Kvb29mzYsIHbt2/z8ccfS8pHRkby%2BeefU7t2bcaMGcOSJUtYt24dFy5cYNasWXz99dd4eXmxbt06du7ciY9EMtUDBw7w%2BeefM2PGDMaMGcOECRPo27cvP/30E5GRkYSHh%2BPv76%2BV37JlCxs2bMDMzIwxY8Ywd%2B5cHaNFH35%2Bfly7do1jx46xY8cOADZu3Mj%2B/fuJjIykTp06REVFMWrUKOLi4rCwsCj1mBgiv0RC1zt37hAaGsqcOXPo1q0b165dY9iwYTg4ONCtWzcA4uPjcXV15ciRI5w5c4ahQ4fSvXt3Zs2apTXAJ02apLj%2Bu3fvao1SDba2tthZWxveqX593a0UtrbS5ZpEr3IJXwEKC%2BVlNImW5RIuw38SuxpCk5BTLoFseVOrlnS5Jo%2BKnnwqepFLDFuapMByY2ZpqbuVQpMktjzaVeyqWy66kH8xKJU6TWJjQ2iuEblrBf6TCNcQpTk3yvNYgnxS5sqVdbdSmJtLl2vGQW48AN56S7q8YUPdrRxSiY9Lq%2BvBA%2BnyRo10t1LUrCldbmOju5VC7phrjrXcMdcgdQ8tzZi9yomRBbIIg0vwSjN//nzCw8N1frOwsOD06dMAhIaG0r17d3bu3Mny5ctZsGABFhYWFBUV8d133xEeHo5N8Q02PDychw8flqr%2BtLQ0EhIS%2BPTTT7GwsMDR0ZFevXrxxRdfGNynR48evFH8Au3j48P69euB/wSW6NSpEwCjRo1i586dkvU3aNAAb29vANq2bcvp06cZPnw4lSpVwtvbm6%2B//pp79%2B5p5QMDA6lZ/OAZOnQo48aNo1DJi/oz7Nq1i6FDh9KgQQNAPQu4efNm4uLiaNmyZanH5Fny8vI4fvw4P/zwA1999RUA%2B/btw8nJSWtAOjs7M2DAAKKjo7UGl4mJCSNGjMDY2Jg2bdpgY2NDUlISrq6upe4jQFRU1HP5N8aEhjJWiQH56ad/q069LFlSfroAli4tP13btpWfLjkjA2DECGW6evcuW1ueRcrI1qB09rR167K1pSRKXhCVoqSPgALTR7m6ceOUKRs4UGGtCujTp/x0leexBGjWrPx0KflQs3u3Ml0lvDzKTCmeBYqQ%2BWhYKrp3Lz9dSp87UVHyMp9/Li/TtKmy%2Bl4Er%2BGMVHkjDC7BK43cGq5KlSoxb948Bg8ezPvvv0%2B7du0AyMjI4OHDh9StW1cr2/hvfKn/66%2B/AHT0aIwQQ5SUNTc317obpqWlYV/ia6%2BJiQlvv/22pK5aJb72m5qaYmNjQ6VKlQC0W41%2BgIYlvpLZ29uTl5dHZmamZB36SE5OZsGCBTrGbmFhIbdv3/5bYwJqQ1QTNOPp06fUq1ePefPm4evrq60zMTERFxcX7T5FRUU6fapTp45OEBVzc3NycnJK3T8N/fv3f26G0Xb6dEhIMLxT/fpqY2vOHJBzpczIkC5/4w21sTV%2BPFy/Li2rdIZr6VL1S25SkrRsaqp0eePGamMrMFD%2By2rxBxBJKlaEEjOaBtmwQbq8Rg21sbV7N6Sny%2Bvr1Uu6vEIFteWQkQFPn0rL/vabdLmlpfoF/dQpyMqSlpV7eapQQW1s3b8v3y4lM1xK%2BwikyZhcpVFnu1XG%2BLe1VRtbW7fCM7PNz6FkhqtPH9i1S/7ckJsFLs2xBGUzXM2aqc%2BhR4%2BkZeUsWTMz9b3j%2BnWQu//NmiVd3rCh2tiaNAlu3JCWBfkZri%2B%2BgClTlOlSMsO1ciWMHg3XrknLyq31trFRG1t796qvKSnk3hUsLNTG1rlz8PixtCxIf1Br2FBtbE2dqmzMXhbC4CozwuAS/Ndz8%2BZNzM3NtWuPjI2NtS/lf2d2p%2BQ%2BmjVfBQUFesv1YWTg5aewsJAKz/jg6IvAKFUuJ1%2BybUVFRZKyJfv0LGZmZsyfP187G1eS%2BPj45/ZXMs4lg2Z89dVXHDp0CD8/P506PT09Wb16tUEdcv0vLXZ2dtjZ2en%2BmJYm/%2BIHamPryhVpGSV6QP3iVGKtn14kjtdzJCXBhQvSMkof7pcuSRug5c2dO8rk0tOVySowMLRycrJKP15kZcnLKjE%2BNe2Sk1V6XSjpI6BwxJSpkzPsNaSlycsqdeFKT4fbt6VlqldXpkvJsQTl59mjRyDnaaHEVRDUxtaTJ9IyFy8q03XjhjJZKYOrtLpKeGdIcu0ayEUDlnDN1%2BH%2BfSj%2BaGgQOTdYDY8fKzPGlbgC3rghXAb/xxEmq%2BC/mvv37/PFF1%2BwZs0anjx5wr/%2B9S8AqlWrRtWqVblR4qXywoULREdHP6ejUqVKOrMkycnJ2v9rXsZvl3h4J8nNHBigevXq3Lp1S/t3QUGBTkCN8qBk21NTUzEzM8Pa2hpTU1OelHgwFxQUkCrxclOvXj0uX76s85smiEh5jEloaCi5ubk6xpWDgwNXrlzRMRTT0tJe%2BxxnAoFAIBC8VETQjDLz%2BvVY8D9FeHg43t7etGrVitmzZ7N06VKtIdGrVy8iIyP566%2B/yMjIYN68eVy9evU5HQ0aNODkyZM8ePCAtLQ0tm/fri2rW7cujo6ObNiwgSdPnnDlyhW9RpsSWrduzfnz54mLiyMvL49Vq1aVyR1OH99%2B%2By3p6elkZmayefNmPD09MTIyon79%2Bjx69Ijjx4%2BTl5fHmjVrdAwbU1NT0tLSyMzMJC8vjwEDBrB161Z%2B%2B%2B03CgoKOHDgAO%2B//z63bt0qlzExMzNjzpw5rF27livFs0Rdu3YlMzOTiIgIcnJySElJISgoiM2bNyvSaWpqys2bN3kg56YiEAgEAoFA8A8iDC7BK838%2BfNxcXF57t%2B0adM4duwYR48e5ZNPPgGgRYsWvPfee8yePRuAiRMn4urqSpcuXejSpQtOTk6MGTPmuTqCg4OxtLSkffv2BAUFMWTIEJ3yZcuWcf36ddq0acO0adMIDg7%2BW31p2bIl48aNY9KkSXh6elKhQgXc3d0NuiD%2BHbp3786QIUO0a9nmzJkDwDvvvMPQoUMZP3487du3p0KFCqhUKu1%2Bvr6%2BFBUV4eXlxfnz5%2BnTpw%2BBgYGMGTOG5s2bExkZyYoVK6hTpw5QPmPSrl07OnbsyIwZMygoKMDa2pqIiAgOHTpEy5YtGTRoEN7e3gQFBSnS16tXL44ePcp7770n6S4pEAgEAoGgFIgZrjIj1nAJXlkOHz4sK/N///d/On%2BXjJRXqVIlwsLCCAsLk9Rdp04dnVktQMedrlGjRs9FE%2BxdHCHN3d1dR/ZZN7xevXrRq8Si/aCgIEaOHKn9e9CgQbRo0UKvrs%2BfiVoUEBCgE0DE0dFRK69x92vWrBn79%2B9/rr8A06ZNY9q0aXrL3njjDeLi4nR%2B%2B/jjjw2Ge5cak2epW7fuc%2BOiYckzi4lbt26tzS32LGPHjmXs2LE6v5U8jhrDWiAQCAQCQTnyGhpI5Y0YQYHgHyIlJQWVSsXhw4cpLCzk%2BPHjJCQk0L59%2B5fdNIFAIBAIBALBC0LMcAkE/xD16tXj888/Z%2BHChUyYMIGaNWsyZ84c3NzcXnbTBAKBQCAQCPQjZrjKjFGRXOxogUAgeJ345RfpcgsLaNJEHXZdJgfLitMtJcttbaF/f3VeTLkI8kpyBpcmRdWIIAVhyZXmzirOCWcQlQri48HNTT7E/I4d0uXVqqkTEB88qCxct4eHdHmFCuoDkZYmG9o7cGJtyfIGDSA8HKZPhz/%2BkK52221vaQEnJ1i7FkJCQE%2Bwn5JcjDgiWW5mpk73c%2BOGfNomgLf2yiSurVkThg6FTZtkQ2wHnp0iWV6aMZM73I6OsHw5jB0rn4ZO7rRu1AhWrYJRo%2BRTQAGUSB%2BoF3t7mDgRFi%2BWj37/1RyZwD/Gxuo8YVlZ8vn55KK8ljJHm2R9FSqow%2B3fu6dMl9wBNTVVnyB//AEl8k3qI8POWbLcxASqVlVH5Jdb4mvt7ykt4OQEkZEwbJjstQnAggWGyypXVt8fExLk87OB/P3sRVGeick1bN1a/jpfYcQMl0AgEAgEAoFAINCPmOEqM8LgEggEAoFAIBAIBPoRBleZESMoEAgEAoFAIBAIBC8IMcMlEAgEAoFAIBAI9CNmuMqMGEHB3yY1NRUXFxdu3LjxsptS7ri4uHDixAm9ZUlJSTg7O2tzX5UnQUFBLF26VJGsj48P3377bbm3QSAQCAQCgUCLSHxcZl6/HgsM4uPjQ5MmTXBxccHFxYXmzZsTGBj4XHJhDfb29iQmJtKwYcMy171r1y7u37%2BvSHbPnj04Oztr26lpa0BAACdPnixzWwASExNp27ZtueiSIjMzUyeB8IYNGxg3blyp9ezZs%2Bcfaa8UBQUFbNy48bWrWyAQCAQCgUAKYXAJdJg5cyaJiYkkJiZy/PhxfH19CQkJISUl5YXVWVBQwOeff05GRobifWrUqKFtp6atPj4%2BjBw5kuTk5BfW1vLm1KlTOgbXfzO///47kZGRr13dAoFAIBD8TyNmuMrM69djgWLMzc0JCgrCzs6Oo0ePMnjwYBYuXEi3bt0ICQnh5s2bODs7k5SUxLhx45g2bZrO/ps2bcLPzw%2BA5ORkgoODcXd3x93dnQkTJvDw4UMAWrVqRVZWFj169GDFihUAnDx5kv79%2B6NSqWjXrh0rV66Ubevw4cOxs7Pj2LFj2t%2B3bNmCn58fTZs2pWvXrsTGxmrL4uLi6NatGyqVCg8PDxYuXEhhcY4RZ2dnjh49CsC9e/cYNmwYKpWKrl27cu7cOZ26U1NTGTlyJO7u7rRs2ZLJkyeTnZ0NwOnTp2nevDlHjx6lc%2BfONGvWjODgYB48eMD333/PhAkTOHfuHC4uLqSkpDB48GAWLVoEQFFREYsWLcLT0xOVSkXPnj35RS5HVDGDBw9m9erVfPLJJ7i5udGuXTuio6MB6Nu3r3acNcyfP5/g4GDZ/jx58oQpU6bQpk0bVCoVAwYM4Pz585w7d44BAwaQnp6Oi4sLp06dYvny5YwcOZLly5fTsmVLPDw8iI2NZc%2BePXh6etKyZUtWrVqlbUNmZiaTJk3Cw8MDlUrFqFGj%2BKs4x4/mXDtx4gT%2B/v40a9aMAQMGcPPmTb11CwQCgUAgELwqCINLIEtBQQEmJiYA7N%2B/nwULFrBmzRodmc6dO3PkyBEKSmQUPHjwIF26dAHUM2caY%2Bj777/nxo0bREREAGgNgejoaMaMGcOdO3cIDQ0lICCAX3/9lcjISLZv387/%2B3//T7atT0skW4yJiWHFihUsXLiQM2fO8PHHHzNu3Dhu3bpFfn4%2B48ePZ9q0acTHx7NlyxZ%2B/PFHDh8%2B/JzO8PBwcnNziYuLY8OGDezZs0dbVlRURGhoKLVr1yYuLo4ffviBv/76iy%2B%2B%2BE/i0CdPnrB//36ioqL44YcfuHz5Mjt27MDPz49Ro0bh6upKYmIi9erV06k3Ojqa7777jqioKH799Vc6dOjARx99pDPGUmzdupXu3btz%2BvRp%2BvXrR1hYGPn5%2BXTu3FnH8AQ4dOgQXbt2le3P5s2bSU9P5%2BDBg5w%2BfZp27doxa9YsXF1dmTdvnnbmsXXr1gAkJCRQo0YNTpw4gbe3N3PnziUxMZGYmBhmzJjB8uXLuXfvHgBTp04lJyeH/fv3c%2BzYMSwsLJ4z4r/55hvWrFlDXFwcjx8/JjIy0mDdAoFAIBAIygExw1VmRJRCgUEePXrE9u3buX//Pp6enuzfvx9XV1dcXV2fk/Xy8iI3N5czZ87QqlUr7t27R3x8PGFhYQCsXbsWIyMjKlWqhI2NDe3atSM%2BPl5vvfv27cPJyQl/f39APds0YMAAoqOj6datm959srOz2bx5M5mZmfj6%2BgLqdWF9%2BvThnXfeAeC9996jefPm7Nu3j8DAQHJycrCwsMDIyIgGDRoQExODsZ6bQGxsLEuWLMHKygorKysGDRqkXdeWmJjI1atX%2BfbbbzE3N8fc3JyxY8cSHBys7XtBQQHDhg3T7t%2B8eXOuX78uO/7dunWjQ4cOWFpaAtC1a1eWL1/OrVu3njPO9KGZHQTw8/NjxYoV3L17l86dO7Nw4UJSU1Oxt7fn/PnzpKWl4evrK9ufhw8fUrFiRczMzKhQoQKhoaGEhoYabEPFihUJCAgAwNPTkx07dhASEoKpqSk%2BPj4UFBRo3VWPHDnCgQMHsLKyAmDSpEl4eXmRlpam1RcQEEDNmjUB8PDwIDExUXYcpLh7966OfgDbx4%2Bxq1HD8E5mZrpbCWxtpcutrXW3UlRQcLeuVk13%2B4%2BhUkmXN26su5VCrvHF14N2K4fcwGnKFQxwgwbS5XXq6G4lqeIkXe7goLuVQO5UrFRJdytL8TVmEBsb3a0E5TlmWVnS5XXr6m6lKPFtTi%2BaW6yCWy0A9vbS5XZ2ultJ5F5GNeVKXlrlzuvij6narRzFXiDlosvUVLq8FCeuXJWlGTKcyu/aBKByZcNl5ua6WykePVJW34vgNTSQyhthcAl0mD9/PuHh4QCYmZnx1ltvsWnTJmrXrg2oA2Xow8zMDE9PT2JjY2nVqhWHDx/GyckJR0dHAM6fP8/ixYu5fPky%2Bfn5FBQUaA2hZ0lOTiYxMREXFxftb0VFRTrBOTTuYxry8vJo1aoVmzZt0r6QJycnc%2BLECTZv3qyjp1GjRlSpUoXRo0czaNAgXF1dadu2Lb169dL2U0NGRgY5OTnULfEEb1DiDSIlJYWCggLc3d119isoKNBZk1Zyf3Nzc3JycvT2vSRPnjwhPDyco0eP8uDBA52%2BKqFknWbFb2Q5OTk4Ojri4uJCbGwsQ4YM4eDBg7Rr146qVavK9icwMJDg4GA8PT1p164dvr6%2BdOjQwWAbatWqpf1/peKHpub4mBY/bHNzc7VGl8bI1mBiYsLt27exKX6xe3Ycc3NzFY2FIaKiop5zrxwzejRjP/pIfufic1uK/k2UteO995TJKUXikJSgojJlFRXIGfh48hzbtimTU0J5z2QqsHqLb42yjBmjRGqtMmUzZ8qKKA1bJGcU/EfhUGVy3bvLiigcMoVjpowpU8pP1/Tp5acLYPBgJVIKPyZIvciXlqpVy0%2BX0i8%2B1asrk1NgjSttfZUqCoSUrgeePVthrQpQ8jHq%2BPHyq0/wjyMMLoEOM2fO1M5I6MNE4jOSn58fX375JdOnTycmJkbrTvjgwQNCQkIICAhg3bp1VKlShaVLl/Lzzz/r1aMx3lavXm2wLo2bGqiNqICAABwcHGjatKmOnokTJxIUFKRXx5gxY%2Bjbty%2BxsbHExsYSGRnJ5s2bdWbwNMZNSTe%2BoqIi7f9NTU2xsLAgISHBYFsBvTNncnz66adcvnyZrVu3Ur9%2BfVJSUujYsaPi/aXq9PPz0zG4Ro0aBcj3x8bGhgMHDnD69GkOHz7M7Nmz2bt3L8uWLVPcBn2/aQzCo0ePYq3nxVcTgt/IyMhgn/4O/fv3x8fHR%2Bc32/R0uHDB8E5mZmpjKykJZAznqPPSFpe1tdrYiokBuZgxSme4OnSAQ4cgM1Natnf3fHmFFStCvgK5Zwz052jcWG1sBQbCpUvSsiXccfViaak2tk6dkp/yAGjWTLq8QgX1gcjIkJ32mL5EesqyTh214bBiBdy6JV1teHqItICDg9rYmj8fZAIB3ZgmbbxVqqQ2tlJTQcn3moY/bZIWsLFRG1t794JMdNnpV4ZKlpdmzJTMcE2Zoj6F5LJ2KJnhmj5dbWQriRnVqJF0uZ2d2tj617/g7l1p2YkhMh01NlYbW48eSc84gXxHTUzUxtbDh6DEXV1uhqtaNfXNR4kuuQNaqZL6BLl1S/bEfWjTQLLc2FhtbGVnyw9Z1QnDpAUcHNTGVliY7LUJwOjRhsvMzdX3x0uX4MkTeV0vCzHDVWaEwSUoNzw9PZk6dSrx8fGcOnWKWbNmAXD9%2BnUePXpEcHAwVYo/L/3%2B%2B%2B8G9Tg4OBAbG0tRUZH2BTstLQ0rKyvtLElJjIyMCAsLo1evXrz//vu0adNGq%2Bfy5cs6srdu3aJ27doYGRmRmZlJzZo1GThwIAMHDmTatGlER0frGFw2NjZUrFiR27dv89ZbbwFw7do1nbY%2BfvyYlJQUrZtfdnY2%2Bfn5eg2H0nDu3Dn69u2rnVG7IGUElJJOnTqxePFizp49S2pqqtbokOvPo0ePqFixIu%2B%2B%2By7vvvsuH374IT4%2BPqWKMKkPe3t7jI2NuXz5snYNVn5%2BPvfv39fOiL0I7OzssHvWx%2BeXX%2BDxY/mdc3Jk5Z7xVjRIRoa8rJKJJg2ZmZCerly%2BzMh8cNBy6ZK8rJylqCErS5ms3AtnSTkZ2T/%2BUKbq1i0FsrevKlOWnAxXpWUVTJgD6ndWRbLFwWpkuX9fVrY8x0zpqXHzpvp7iBRKviOA2tgqccs3iBKPMFAbW6mpMkJyFkFJubIaXBoKCpTJKmmbUl1KPRTy8mRlFS5tprBQgazM9aZFwbUJKHMFfPLk5boMCl44wmQVlBtmZmZ4eXmxePFi3nzzTRyK/Zvr1KmDsbExCQkJ8Aj44wAAIABJREFUPH78mE2bNpGenk56ejpPnz7Vzm788ccfZGdn07VrVzIzM4mIiCAnJ4eUlBSCgoJ0XAOf5c033%2BTDDz9k9uzZPCn%2BStS/f38OHDhAXFwcT58%2B5dSpU7z//vucPXuWhIQE/Pz8OHfuHEVFRdy7d48bN25o26yhYsWKtG7dmm%2B%2B%2BYasrCxSU1PZunWrTr0qlYoFCxZw//59Hj58yJw5c5g8ebKiMTM1NSUtLY3MzMznXAXr1q1LYmIieXl5/Pbbb%2Bzfvx9QrzsqK/b29jRp0oQvv/wST09PKhe7psj156OPPuKLL74gOzubwsJCEhISqFatGlZWVpiZmZGVlcVff/2lyGWyJJaWlnTp0oVFixZx584dcnJy%2BOqrrwgKCtKZUTREWeoWCAQCgUAggQiaUWZevx4LXiidO3fm119/pWvXrtrfatasyYQJE5g%2BfTre3t48ePCARYsWkZeXR2BgIDVq1KBTp058/PHHLF26FGtrayIiIjh06BAtW7Zk0KBBeHt7G3QN1DB69GgKCwv5%2BuuvAWjbti1TpkwhLCwMNzc3wsLCmDt3Ls2aNdOGHR83bhxNmzalZ8%2BeNG3alIEDBz6nd8GCBQC0b9%2Be4cOHM2TIEJ3yxYsXU1RURIcOHejYsaM2r5gSfH19KSoqwsvLi/Pnz%2BuUTZw4kaSkJFq1asWSJUuYNWsWHTt2JDQ0tFxmu/QdK7n%2BzJs3jz///JP27dvTsmVLtmzZwsqVKzE2NqZ169bUrVsXX19fvdEe5Zg1axb169ena9eutGvXjmvXrhEREaHIjbCsdQsEAoFAIDCAMLjKjFGRks/HAoFA8Logl%2BvMwgKaNFGv85JxKVxxuqVkua0t9O8PUVHl41JYowb07g27d8u7FI4IKsc1XHJRxFQqdWANNzd5l8IdO6TLq1WDjh3h4EFlPmYeHtLlFSqoD0RamqwbVODE2pLlDRqo1/xMny7vHrfttre0gJMTrF0LISGybksXI45IlpuZQcOGcOOGMpfCt/bKrKOrWROGDoVNm2RdCgPPSkewKM2YyR1uR0dYvhzGji27S2GjRrBqFYwapcylsEQMJ73Y28PEibB4sbxL4VdzHkgLGBur1zJmZcm7%2BMkt2ivFGkZAur4KFdSBMO7dU6ZL7oCamqpPkD/%2BkHUpzLBzliwvzVI1a39PaQEnJ3VgjWHDlLkUFn%2B01Uvlyur7Y0KCMpdCufvZi%2BLjj8tfZ/HH8dcFsYZLIBAIBAKBQCAQ6Oc1nJEqb8QICgQCgUAgEAgEAsELQsxwCQQCQUnkklJbW6tdClNTZWO5j2ku41ZTuTLgSv%2B3zoGDjDuJkrCDVlZAe3rbHoVKMm5J4TK5s2rVghEjYMMGuHNHWlaJGyCo43XLuRH16yddrlKpXQqnTFEUHfHTudJe85purtljK9vNnj2lyzXd9PZW4O14UyaHlSZ6pqcnFEdINcRbyT9K67K0hIbv0vD2z8pC6Y8cKV2u%2Bdrdu7esS9u2lPOS5eqszY0ID7om7%2B8oF/m1YkXAjuWz7sr7DD58qKBdDVk1WaEfZna2dLmFBdCEiZ3lXZG5IlOXxq05OVle13mZ8a9eXR3i/9gxtSugHFLJrq2swMsLEhPhgcz9B9RyUtSqpXbbi42VvQdVmyGfrw4U5ksvTeJpJTM/69cbLqtfX31Pi46GP/%2BU1/WyXArFDFeZEQaXQCAQCAQCgUAg0I8wuMqMGEGBQCAQCAQCgUAgeEGIGS6BQCAQCAQCgUCgHzHDVWbECAoEAoFAIBAIBALBC0LMcAkEAoFAIBAIBAL9iBmuMiNGUFBupKam4uLiwo0bN152U/5ncXFx4cSJEy%2B7GQKBQCAQCF4XNBEZy/Pfa8br12OBInx8fGjSpAkuLi64uLjQvHlzAgMD%2Bb//%2Bz%2BD%2B9jb25OYmEjDhg3LXP%2BuXbu4f//%2B39p3%2BfLlODs7Exsb%2B1yZj48Pp0%2BfLmvz9LJnzx6cnZ21Y6YZt4CAAE6ePFkudSQmJtK2bVu9ZYMHD2bRokXlUs/f5cKFC/z888%2BvXd0CgUAgEAj%2BOVJTUwkJCcHd3R1vb28WLlxIoZ40FcuXL%2Bett97SeTdzcXEhvTjVSm5uLrNnz6Z9%2B/a4u7vz0UcfkSGT8uXvIAwugUFmzpxJYmIiiYmJHD9%2BHF9fX0JCQkhJSXmh9RYUFPD555%2BX6YS3trbms88%2BIzc3txxbJk%2BNGjW0Y6YZNx8fH0aOHElycvI/2paXwe7du1%2Ba0fMy6xYIBAKB4H%2BWV3CGa%2BzYsdSsWZPY2Fg2btxIbGwsmzdv1ivbo0cPnXezxMREatSoAcCSJUu4cOECUVFR/PjjjxQVFTFt2rQyt%2B9ZhMElUIS5uTlBQUHY2dlx9OhRQD2jsnDhQrp160ZISAg3b97E2dmZpKQkxo0b99wJu2nTJvz8/ABITk4mODgYd3d33N3dmTBhAg%2BLE1G2atWKrKwsevTowYoVKwA4efIk/fv3R6VS0a5dO1auXCnZXk9PT2xtbVm7dq1BmcLCQlauXEnHjh1xdXWlZ8%2BeOjNRPj4%2B7Ny5k5CQEFQqFb6%2Bvhw/frzU4zZ8%2BHDs7Ow4duyY9vctW7bg5%2BdH06ZN6dq1q85sXFxcHN26dUOlUuHh4aHz1cbZ2Vk7/lJojsWJEyfw9/enWbNmDBgwgJs3b5KUlISzszOpqala%2BadPn%2BLu7s7%2B/fsBOHDgAD169KBZs2Z06NCBqKgorezZs2fp168fKpUKd3d3ZsyYQU5ODvPmzWPbtm1s2LCBjh07asfw22%2B/ZfDgwTRt2pQBAwZw%2B/ZtJk6ciEqlolOnTpwvkZhT6jgvX76cUaNGsW7dOtq2bUvLli2ZP38%2BgN66BQKBQCAQ/O%2BRmJjIpUuXmDRpEpaWljRo0IChQ4fqvKso4enTp%2BzatYvQ0FBq165NtWrVGDduHHFxcfz111/l2mYRNENQKgoKCjAxMdH%2BvX//fpYtW4aLi4vOC3znzp2ZO3eujvzBgwfp0qULoJ49s7e359ixY2RnZxMcHExERARTp04lOjqaDh06EB0djaOjI3fu3CE0NJQ5c%2BbQrVs3rl27xrBhw3BwcKBbt25622lkZMTs2bMZOHAg/v7%2B1KtX7zmZrVu3snPnTtasWUPDhg3ZsmULoaGhxMbGUr16dQDWr1/Pl19%2BSePGjZk7dy7h4eEcOHCg1OP29OlT7f9jYmJYsWIFkZGRNG7cmMOHDzNu3DhiYmKwtbVl/PjxrFy5kjZt2vDnn38ybNgwrcFXWr755hvWrFmDqakpH3zwAZGRkcydOxcnJydiY2MZMmQIAL/88gu5ubl4e3uTmJjIjBkzWL58OW3atCEhIYHhw4fj5OSEm5sbkydPZtiwYfTu3Zv09HRCQ0OJiopi1qxZXLlyhaZNmzJp0iRtG7Zt28ayZcuwtLTE39%2BfgQMHMm/ePMLDwxk9ejQrVqxg9erVio5zfHw8rq6uHDlyhDNnzjB06FC6d%2B9usG457t69S1pams5vtgUF2BV/%2BdKLpaXuVorKlaXLzc11t1Lk58vLVKmiu5WiVi3pcs0YSI2FhmrVpMtLM2YqlXR548a6Wxle1W6SZyddbm2tu1VSsSE056Hc%2BahB7uuzplzJV2ozM%2BlyU1PdrRQVK0qXV6iguy1LuypV0t3KoceVSW99cvUqoTS6ip9lBrGy0t3KUbWq4bLS3H9A/uLUtF2uD%2BWNk5N0uYOD7laOOnUMl9WurbuV4s8/ldX3IngBa670Pn9tbbGzk7k3ol5CYG9vj1WJ87ZJkybcuHGD7OxsqjxzDl6%2BfJkBAwZw5coVateuzbRp0/Dw8CA5OZmsrCyaNGmilXV0dMTMzIwLFy5Qs2bNMvbyPwiDS6CIR48esX37du7fv4%2Bnp6f2d1dXV1xdXZ%2BT9/LyIjc3lzNnztCqVSvu3btHfHw8YWFhAKxduxYjIyMqVaqEjY0N7dq1Iz4%2BXm/d%2B/btw8nJCX9/f0A9yzNgwACio6MNGlwAb7/9Nv7%2B/oSHh7Nq1arnynft2kVgYCDOzs4ABAUFERkZSVxcHL179wbA29tb279OnTrx3XffUVhYiLHCm092djabN28mMzNTazDt2rWLPn368M477wDw3nvv0bx5c/bt20dgYCA5OTlYWFhgZGREgwYNiImJUVzfswQEBGhvGB4eHiQmJgJqg7ikwRUbG4uXlxcWFhbs2bMHLy8vPDw8AGjRogV%2Bfn5ER0fj5ubGw4cPsbCwwNjYGDs7O3bs2CHZPi8vL%2B26PldXVx49eqRdh%2Bbh4cH27dsBZcfZxMSEESNGYGxsTJs2bbCxsSEpKUnvOaiEqKgo7SyqhjGjRzM2MFB%2B5zZt/ladepF7wJcWNzd5mfbtlekqvhbKhdat5WWUzlBu26ZIbIQybf94N2GgMmXFH6nKhaZNy08XKDPgFFmfgJ6PYn8bG5vy02VvX366ABwd/1ldJV4kJSnxXC8zLVook/PyUibXs6esiJEyTRgpEZTwjNFh5kyFtSpghII71Ycfll99peUFGFx6n79jxjB27FjZfTMzM6n6jPGvMb4yMjJ0DK5atWpRr149Jk6ciJ2dHVFRUYwcOZK9e/eSmZkJ8JyuqlWrlvs6LmFwCQwyf/58wsPDATAzM%2BOtt95i06ZN1C7xJcbewMPIzMwMT09PYmNjadWqFYcPH8bJyQnH4gfE%2BfPnWbx4MZcvXyY/P5%2BCggKtAfIsycnJJCYm4uLiov2tqKhIUXCOcePG0alTJ3766ScdQxHUbneOzzywHBwcdGbq6tatq9OngoIC8vPzMTXwNTY9PV2nnXl5ebRq1YpNmzZpDZ/k5GROnDih42tcVFREo0aNqFKlCqNHj2bQoEG4urrStm1bevXqpTPmpaFk%2B83NzbVr2vz8/IiIiCAzMxMrKytiY2OZWfzwSE5O5uTJk8%2BNt8YAmzBhAtOnT2f9%2BvV4eHjQo0eP58axJLVKfMU0NTXVuRGampqSl5enrVfuONepU0fHuDM3NycnJ6d0g1KC/v374%2BPjo/Ob7dmzEBNjeCdLS7WxdfIkZGVJVyD3BdfcXG1sXb0KT55IyxY/GCSpUkVtbMXHQ3a2tOzFi9LlNWqorZDdu6F4cbFB3nhDutzSUm2FnDolP2ZTpkiXN26sNrYCA%2BHSJWlZYM0I/R9yNLysbna8u1VawNpabWwdOAByD365e2Hlympj6%2BxZePRIWhagxDWoF2Njtc5Hj%2BRnduTcckxN1cZWSgrIrbmVml0B9cyWjQ3cvw8lvAr0IjcOlSqpja3UVCi%2BR0ny%2BLF0uZmZ2kBKSoIy3LNKrSspSbrcykptbP30Ezx4IF%2B33AxXixbw66/y9x%2BAa9eky6tXVxtb//433LsnKVoUPEy2OiMjKCqSb5bRiBBpAQcHtbE1fz4oWZstN8M1YgSsWQO3b8vr%2Bh9C7/PX1lbx/kVKDibQt29f%2Bvbtq/176NCh7N%2B/n71799K%2B%2BMOjUl1lQRhcAoPMnDmTgIAASZmS7oXP4ufnx5dffsn06dOJiYnRuhM%2BePCAkJAQAgICWLduHVWqVGHp0qUGAx5ojLfVq1eXug9WVlZMmDCBBQsW0OaZGYk8Aw9RoxKfwAzN3ERERGhnzerUqcOPP/4IqINmaMK2FxUVERAQgIODA01LfFk2MzNj4sSJBAUF6dU9ZswY%2BvbtS2xsLLGxsURGRrJ58%2Ba/NYtjZOBznqOjI46Ojhw5cgRHR0eys7O1Nx4zMzMCAgKYNWuW3n379u2Lr68vhw8f5tChQ/j7%2B7NkyRKDLo/PjqGhMVVynP/uTJ8h7OzsnndfOH9e/gUX1G/UcnJKv%2B4/eSL/AqjkZUhDdra8/J07ynSlp8vLKp1RyMqSNxwTEpTpunRJkeyr2k3u3lWmLCNDXlaJPySozzE5SxDkjaiScnKySo2L3Fx5WSWut6A2tuRccJW2Ky9PmaycwVWyXqWy5aFLxlDR8uCBMlklL6ZK7j%2Bg/OK8d0%2B5bHlw9aoyueRkZbJK3MFv3365LoNyvIAZLr3PX4XY2NhoZ6c0ZGZmYmRkhI2CG7W9vT13797VymZmZlK5xIz9gwcPtEtLygsRNEPwwvD09OT%2B/fvEx8dz6tQprcF1/fp1Hj16RHBwsHa24/fffzeox8HBgStXruh8gUhLSzNoMD1Lnz59sLS0ZP369c/pvX79uvbvp0%2Bf8ueff%2Bpd7/UsoaGh2kg3GmPrWYyMjAgLCyM6OlonGIeDgwOXL1/Wkb1165a2f5mZmdSsWZOBAweyceNGOnfuTHR0tKK%2BloZOnTpx5MgRYmJi6NChg3bWTl/77ty5Q0FBAaCerre2tqZ3795EREQwYsQIdu3aVeb2lPU4CwQCgUAg%2BN/nnXfe4fbt2zrpgxITE2nUqJGO4QTqD%2BTPpuZJSkqiXr161KtXDysrKy5cuKAtu3LlCnl5eQa9rv4uwuASvDDMzMzw8vJi8eLFvPnmmzgULzDVuIUlJCTw%2BPFjNm3aRHp6Ounp6Tx9%2BhSz4oXAf/zxB9nZ2XTt2pXMzEwiIiLIyckhJSWFoKAgg%2BE/n8XY2Jg5c%2Bawdu1abSREUIcJ3bZtG0lJSeTl5bF69WoKCgqem%2BIuC2%2B%2B%2BSYffvghs2fP5kmxy1j//v05cOAAcXFxPH36lFOnTvH%2B%2B%2B9z9uxZEhIS8PPz49y5cxQVFXHv3j1u3LihHbuSbNmyhfHjx//ttvn5%2BXH69GmOHDmiNYZBbaDGx8eze/du8vLyuHjxIn379uXHH3/kzp07%2BPj4cPz4cQoLC8nKyuLKlSva9pmamnLz5k0elGY2ppiyHuey1C0QCAQCgcAAr1hY%2BLfffhsXFxcWL15MdnY2SUlJbNy4UeuV1blzZ3799VdA/RH7008/5fr16%2BTm5rJhwwaSk5Pp2bMnJiYm9OvXj9WrV3P79m0yMjL46quv6NixozZsfHkhDC7BC0Vz0nft2lX7W82aNbXrgLy9vXnw4AGLFi0iLy%2BPwMBAatSoQadOnfj4449ZunQp1tbWREREcOjQIVq2bMmgQYPw9vY26JKnD1dXV7p06UJWCXeaoKAgOnfuzPDhw3n33Xc5ffo033zzzXOLJ8vK6NGjKSws5Ouvvwagbdu2TJkyhbCwMNzc3AgLC2Pu3Lk0a9YMlUrFqFGjGDduHE2bNqVnz540bdqUgQOfX2CfkZGhs96stDg6OmJnZ0daWppOMmVHR0cWL15MZGQkLVq0YOzYsQQHB9OlSxdq1arFggULWLBgASqVis6dO1O5cmU%2B%2BugjAHr16sXRo0d57733tDNiSinrcS5L3QKBQCAQCAzwihlcAMuWLePu3bu0bduWDz74AH9/fwKLA17duHGDx8XuthMnTqR9%2B/YMHTqUli1bsm/fPjZt2qRdX/7RRx/RtGlTevToQYcOHahcuTILFiwoc/uexajon1gpJhAIBP8tyOXxsLaG995TB9aQW8MlFza4cmVwdYVz5%2BTXcMlFdAD1Avj27eHoUfk1FAaigmqpVes/i7nl1k%2B8/bZ0ebVq6uiDBw/KL27q10%2B6XKVSt93NTdEark/nSj/iXlY3%2B95cIi1gZwcDB8LWrfJruOQaZmkJ774LP/%2BsbA2XXJhFY2O1zqws%2BTVcKSnS5WZm0KiROoCC3FopuRD5FSuqx%2B3uXfl1MyW8HQy2q2FDuHFD2RouuSARFhbqiIEXLpR9DVdpdJXIc6iX6tWhe3fYu1fZGi6p9TFWVurIg3FxytZwFUfNNUitWjBsGERGyl6cRTPkIwYqDprh4y0t4OSkjmQYEqJsDVeDBobL6teHuXPV/5Ss4dq4UV7mRfDZZ%2BWv8wUkF36VEUEzBAKBQCAQCAQCgX5eQNCM1w0xggKBQCAQCAQCgUDwghAzXAKBQFASORcRTW6t5GR5H7RWraTLK1VSb6tXlw8hL%2Bc2Bv/5CqlSybt6ySUnrVD8eOjVSz6nkRwaXc2ayepS5AKIOr%2BWkkjRc%2BbKZDpVqWBEPCPWKHBRnDdPurxWLWAYHf%2BUd4E67y/tAmVmBo2Aa%2B4DZT3a5DxbK5uBGxBv9i6PFCxvbGcmkw9Lk27C1FTeR0suqbdGl4ODvC7N9SKHglw%2BP12TTmhcpQo0bwhn7jdUlFJKymsM1E2vDdy2aUJeFWnZ%2BinHpQU011NennzuMjlXZQsL9VZJagpQ5yUzRK1aapfCa9eUhXGXGzSN%2B2KdOuoLQgKjrxZL67Kzg8GDMdryL1kX3R%2BnHpEst7SEd4Gfh65V5KHbyVUiv5bmWI4eXfb77ItEzHCVGWFwCQQCgUAgEAgEAv0Ig6vMiBEUCAQCgUAgEAgEgheEmOESCAQCgUAgEAgE%2BhEzXGVGjKBAIBAIBAKBQCAQvCCEwSUoF5ydnTl69OjLbsZzfPfdd/j4%2BPyjdc6cOZPJkyf/o3X%2BLyHGTyAQCASCV4hXMPHxfxvCpVAgy/Xr11m5ciUnT57k0aNHVK9eHR8fH8aMGUO1atVedvMk8ff3x9/f/2/tu2fPHqZNm0alEpGxbG1t6dSpE2PHjsVCE93pGebPn/%2B36nuWlJQULly4QOfOnRXJDx48mKZNmzJp0qRyqf/vcvLkSapUqYKLi8vf2r%2B8xk8gEAgEAkE58BoaSOWNGEGBJBcvXqRPnz7UqlWLvXv3Eh8fz8qVK7l8%2BTIBAQHkyMUr/i%2BnRo0aJCYmkpiYyLlz51i7di3Hjx/n888/f%2BF1x8TE8OOPP77wesqbTZs2cf78%2BZfdDIFAIBAIBIJXAmFwCSQJCwvDw8ODTz75hBo1amBiYsJbb73FqlWraNasGXdL5LNIS0tjyJAhuLq60qVLF65cuaIt27t3L126dEGlUuHj48O2bdu0ZcuXL2fUqFGsW7eOtm3b0rJlS51Zjvv372v19ujRg59%2B%2BglnZ2du3rwJQGpqKiNHjsTd3Z2WLVsyefJksosTp%2BzZs4e2bdsCcPPmTZydnTlx4gT%2B/v40a9aMAQMGaPXIYWRkRKNGjRg%2BfDgHDx4E4PTp06hUKjZt2oSbmxsJCQlMnTqV8ePHk5SUhLOzM6kl8pY8ffoUd3d39u/fD6iNE19fX1QqFX5%2BfsTExACwfv16Fi1axA8//ICLiwsFBQXk5OQQFhaGl5cXzZo1Y/DgwVy7dk1vW6X6qqRdBw4coEePHjRr1owOHToQFRWllZ06dSrz5s3js88%2Bo1WrVrRu3Zp169YBMHLkSOLi4pg/fz5DhgwB4M6dO4waNQp3d3eaN2/O%2BPHjyczMlB0/DVJtOXv2LP369UOlUuHu7s6MGTP%2B5z8CCAQCgUDwjyJcCsuMcCkUGOTevXvEx8fzr3/967myKlWq8Nlnn%2Bn8FhUVxRdffIGtrS2hoaF89dVXrF69mpSUFKZMmcL69etp06YNp06dIigoCDc3Nxo3bgxAfHw8rq6uHDlyhDNnzjB06FC6d%2B%2BOq6srM2bMID8/n6NHj5KRkcHEiRO1dRYVFREaGoqbmxtLlizh8ePHTJgwgS%2B%2B%2BIJ5BpKUfvPNN6xZswZTU1M%2B%2BOADIiMjmTt3ruJxKSwsxMTERPt3fn4%2Bf/75Jz///DOmpqZag8DR0REnJydiY2O1xscvv/xCbm4u3t7e/PLLLyxevJjdu3fj5OTEv//9byZNmkRcXBzBwcFcvXqV3NxclixZAsBnn33G77//TlRUFFZWVixbtowxY8bw/fffY2SkP7mrob5KtSsxMZEZM2awfPly2rRpQ0JCAsOHD8fJyQk3NzcA9u3bx9SpUzlx4gR79%2B5l1qxZ9OjRg9WrV%2BPj48Pw4cMJCAgAIDQ0lEaNGnHo0CFycnL4%2BOOPmTNnDl9//bXk%2BAGybZk8eTLDhg2jd%2B/epKenExoaSlRUlLZfcty9e5e0tDSd32wrVsSuenXDO2nKpGQ0yCVqrVhRdyuFkgeURkaJbAWZ27%2BmXE5OCaXQpckrbYgaNXS3sqhU0uXF9yDtVgq5xpXi3JDJ44qpqe5WisqVpcvNzXW3shi4nzxXLidXmrrKQ1cpqCKTfLi0YyZ3qZfqcirPAyqXBNraWncrh9SJW5p7I/wnsbEhqlbV3UohlzRbU5dcncjnoNccHrnDpEXqoJfmxHiZiZFfQwOpvBEGl8AgKSkpADRs2FCRfI8ePbSyPj4%2BfPvttwDUrVuXU6dOYWVlBUCbNm2oXr06Fy5c0BpcJiYmjBgxAmNjY9q0aYONjQ1JSUm88847HDt2jKVLl1KtWjWqVatG//79mT17NqB%2BIb969Srffvst5ubmmJubM3bsWIKDgwkLC9PbzoCAAGrWrAmAh4cHiYmJivpXVFREUlIS69evx8/PT/t7fn4%2BgYGBmOl5EHXu3FnHsImNjcXLywsLCwuaN2/OiRMnqFr8MHn//feZNm0aV65coXXr1jp6CgsL2bNnD0uXLtW2fdy4cWzZsoVz587RtGnTUvVVql179uzBy8sLDw8PAFq0aIGfnx/R0dFag6tu3br07NkTgC5dujB9%2BnT%2B%2BOMP7OzsdOq/ePEiFy5cYM2aNVSpUoUqVaoQEhLC6NGjycvLkx0/ubY8fPgQCwsLjI2NsbOzY8eOHRiX4sEQFRXFihUrdH4bM3o0Y4cNk9%2B5uP/lwjPjVmaUvAnIvVVoUPoiVk66RoxQpqp3b4V1johXJldi1r3MKDg3GilUVa9e2ZpSkrfeUiopYz1oUPKhQCnlqUuB8da8uTJVb79dxrY8g5z9A0BtmY8EGpR8JJD74KDhvfeUySmhPO%2BNAMX3/3Kha1dZkXcVqjLw2NWDgoOu5D57%2B7bSCgWvIMLgEhhEM2tSWFioSL5u3bra/5uampKfn6/V8%2B2337Jr1y7u3r1LUVEReXl52hdugDp16ui8KJubm5OTk0NmZib5%2BfnY29try0oGY0hJSaGgoAB3d3edthQUFJCRkSHbTnNzc3Jzcw32KT09Xae%2B2rVr4%2BfnR2hoqI5cnTp19O7v5%2BdHREQEmZmZWFlZERsby8xMRkHeAAAgAElEQVSZM7VtXLlyJT/88AP379/X7lNyXDTcu3ePR48eERoaqjObVVhYyO3btw0aXIb6KtWu5ORkTp48qdPvoqIirdGjTy%2Bg15Xv5s2bWFlZYVviLcPBwYH8/Hz%2B%2Busv7W%2BGxk%2BuLRMmTGD69OmsX78eDw8PevTogaOjo15d%2Bujfv/9zUSxt9%2B2DyEjDO1Wvrn6h%2BPe/4d496QpKGOZ6qVhRbWzdvQvF14tBlHzlNTZWG1uPHoHcdSvnelmhgvolICOj7F9WS6FrzR7pl5MaNdTG1u7dkJ4uX/WINW7SAo0bq42twEC4dEla9pnr/jlKcW5c85I26k1N1cZWSgpI3KIAePhQutzcXG1sXbwIT55IywK4vfP8PUgHIyP1uZufLz%2BzIEdpdCkxyoyMFLXpTLy0UWZurja2fv9d2ZgZuIVpqVBBbWylpclfTrXvJEgLmJurz9tLl%2BQbV8K1Xy/W1mpjKyZGfX3KkZVluKw090aQH7SqVdXG1vHj8ie5XH02Nmpja/9%2BKPG81cfPjoMlyytXVhtbZ8%2Bqb7VyvOuUZriwPO%2BzLxIxw1VmhMElMIiDgwMAV69e1c6SSGHIrW3nzp2sXbuWiIgIWrZsiYmJCZ6enjoyhmYlioofnBVKTLeXlDU1NcXCwoKEBJkHlIJ26qNGjRqcOHFCVq6CAXcAR0dHHB0dOXLkCI6OjmRnZ9O%2BfXsAVq5cyffff8/q1atp3LgxRUVFvG3gc6pm9mf79u288847ittvqK9S7TIzMyMgIIBZs2YZ1Kt0Fkmf8aivbYbGT64tffv2xdfXl8OHD3Po0CH8/f1ZsmQJvr6%2BitpnZ2f33Kwc//433Lkjv/O9e/JyEv3XIT9fXlbhhw%2BtrJy80of706fl9yKgQJeSoQe1saVIVum94dIleVmljVNwbihdapibKy%2Br5KUP1O/mimSVGlFFRWU3uF6ELgUUL/OV5ckTZbJKL/WnTxXIlucBTZN42S9JRoYy2eL1t5IouTeCvF%2BthocPZY0kSqwnl%2BT%2BfVnZLIUOB48eSdufWpTcP8vzPit4JREmq8Ag1tbWtGrVio0bNz5X9uTJE3r16sWZM2dk9SQmJtKiRQtat26NiYkJaWlpOsE2pKhWrRomJibcunVLR58GBwcHHj9%2BrHV/BMjOzjY4u/Uy6NSpE0eOHCEmJoYOHTpgWrwoIzExkQ4dOvD2229jbGzMhQsXDOqwtLSkWrVqXL58Wed3pQE/StMuBweH5%2Bq5c%2BcOBQUFpa6jXr16PHjwgPQSUxHXr1/H1NRUkREv15aMjAysra3p3bs3ERERjBgxgl27dpW6nQKBQCAQCAwggmaUmdevx4JSMWPGDH777TcmTJjAnTt3KCws5OLFiwwbNgwzMzNcXV1lddjb23P9%2BnUePHhAamoq8%2BfPp06dOjouZYYwMTGhRYsWbNy4kaysLG7cuMHOnTu15W%2B%2B%2BSYqlYoFCxZw//59Hj58yJw5c16pxLl%2Bfn6cPn2aI0eO0KVLF%2B3v9vb2XLp0iSdPnnDt2jUiIyOxtLTUjoupqSm3b9/m4cOHPH36lAEDBrBq1SqSkpLIz89n06ZN9OnThydK/F1K0a4%2BffoQHx/P7t27ycvL4%2BLFi/Tt21dxiHpTU1OSk5PJysrCxcUFR0dHFi9ezOPHj/nrr79YtWoVXbt2paIC9yCptty5cwcfHx%2BOHz9OYWEhWVlZXLlyRTszKxAIBAKBoBwQBleZef16LCgVjRs3ZseOHRQWFtKzZ09UKhXjxo2jdevWbNiwQdFLc0BAAPXr18fT05OQkBAGDRrEoEGD2LhxI1u3bpXdf8GCBTx8%2BJC2bdsybdo0RhSvqte4tS1evJiioiI6dOhAx44dKSgo%2BEfyZCnF0dEROzs70tLStCHqAUaMGEFBQQGtW7dm6tSpjB07lp49ezJ//nwOHTpEt27duHHjBt7e3ty9e5fQ0FDatWtHYGAg7u7uHDx4kHXr1mnXUJVXuzQGUmRkJC1atNAGISlplEnRr18/tm3bxqBBgzAyMiIiIoK7d%2B/i5eVFv379aNq0qTboiZI2GmpLrVq1WLBgAQsWLEClUtG5c2cqV67MRx999LfGQyAQCAQCgeBFYFRU9A86TQsEf5O8vDwqFcfdPXXqFB9%2B%2BCFnz57V/iYQlBslcsDppVYtGDZMHVhDbp3CwIHS5ZUqgb09pKbKL%2BxQEM4YY2N19MGsLPk1XI8fS5eXZpW/HKXQ9ena2pLltWqpIxmuWaNsmcicuTJrNlUqiI8HNzf5NVwGUk3oNE7huXHef6ZkuZkZNGoE167Jr%2BGS86CuXFndvfh4ZcuD2rWSidJhZKQ%2Bd/PyyidohlJdSu73CoNm/HRU%2BryoUkUdyfDMGWVruBo0kC6vVAlq11YHmpO71OunHJcWqFxZfd4mJMgf0N9%2Bky63tYX%2B/SEqquxruEpzbwT5QbOxgS5d4MAB%2BTVcch4zdnYweDD861%2Bya7h%2BfGeiZLmlJbz7Lvz8s7I1XJ1cJaILlvY%2BW1v6/vjC0LO0pMx8%2BGH563yFETNcglee6dOnM3z4cB4%2BfEhWVhYbN27k3XffFcaWQCAQCAQCgeCVRxhcgleeTz75BCsrK3x9ffH19cXExIQFCxa87GYJBAKBQCAQ/O8j1nCVGREWXvDKY21tzbJly152MwSvC3IJgS0s/rOVk50xQ7q8QQMID4eVK%2BGPP6RlixOHS1KvHkyfDsuXqxM4SfFM/rHnqFYNOnZUuyTJhIIO/HdfyXJNN6cvsZXtplzO1GrV1Ns33lDmZanIDRDUObbk3KAkUiUAajevYcMgIkLWPXHNX9IuhXXrwpQp6nxjcsFIl8%2BUcaeqUAGojlv9e4rcljZvl44gamMD3brB//uxkqyn15AD/aUFGjaEzz%2BH2bPhxg1pWTlfvDfegMWLYdIkuH5dUtTTTSY/W61a0Hw4zePXKXOPOyXjcVGzJgwdSu0fN8m7vzVpIl2ucRfOyip7firNOuzMTGW5s6T8WzUBnBTnHyhH5CIma9wXL16UvddGJ0mrqldP7VL400/yt1mAThbXDBdWrqx2KUxJUTZmL8ul8DU0kMobMYICgUAgEAgEAoFA8IIQM1wCgUAgEAgEAoFAP2KGq8yIERQIBAKBQCAQCASCF4SY4RIIBAKBQCAQCAT6ETNcZUaMoEAgeGXo1KkTO3fufNnNEAgEAoFAoEFEKSwzYoZL8I/wxx9/sHr1ak6cOMGDBw%2BoWrUqKpWKUaNG8fbbb7/s5r1UYmJicHZ2pn79%2Btrfzp07x6pVqzhz5gx5eXnUrFkTPz8/Ro0ahamp6UtsbfmSkpLChQsX6Ny5MwA//vjjS26RQCAQCAQCQfny%2BpmYgn%2Bcixcv0rt3b2rUqMGePXs4e/Ys27dvp0aNGgwYMIBz58697Ca%2BVJYtW8aff/6p/fvo0aMMHjyYFi1aEBsbyy%2B//EJ4eDiHDh1i2LBhFBUVvcTWli8xMTHCyBIIBAKB4FVGzHCVmdevx4J/nLCwMDw9PZk0aRK2trYYGRlRt25d5syZw4QJE6hQQT3RevXqVT744ANatGiBu7s7c%2BbMITc3l6SkJJydnUlNTdXqfPr0Ke7u7uzfvx%2BAAwcO0KNHD5o1a0aHDh2IiorSyk6dOpUZM2YwePBg3n//fQB8fHzYuXMnISEhqFQqfH19OX78OAA3b97E2dmZuLg4/Pz8aNq0KdOmTSM5OZkBAwbQrFkzBg8ezIMHD7R1bNmyRSvbtWtXYmNjtWWDBw9m9erVfPLJJ7i5udGuXTuio6MB6N69O1evXiU0NJRp06ZRUFDA3LlzCQwMJDg4mKpVq1KxYkWaN2/O6tWrcXBwICMjQ3K8APbs2UP37t357rvv8PHxQaVSMX78ePLz8wE4e/Ys/fr1Q6VS4e7uzowZM8gpzq/i4%2BPDt99%2Bq23/0aNHcXZ21v7t7OzM/v376dWrF66uroSEhHDnzh2Cg4NRqVT06tWLm8WJg5YvX87QoUOJiIjA3d2d5s2b8/XXXwOwfv16Fi1axA8//ICLiwsFBQU6dRcWFrJy5Uo6duyIq6srPXv25OTJk9p2SB1DgUAgEAgEglcF4VIoeKHcu3eP%2BPh4tm3bprd86NChAOTl5REUFIS/vz9r167l7t27jBw5kq%2B//prJkyfj5OREbGwsQ4YMAeCXX34hNzcXb29vEhMTmTFjBsuXL6dNmzYkJCQwfPhwnJyccCtObnno0CE%2B%2B%2BwzvLy8tHWvX7%2BeL7/8ksaNGzN37lzCw8M5cOCAtvy7775jx44dXLp0iUGDBvHnn3%2BycOFCzMzM6NmzJ7t37yYoKIiYmBhWrFhBZGQkjRs35vDhw4wbN46YmBjq1KkDwNatWwkPDyc8PJzVq1cTFhZGly5d2Lt3L87OzkRERNC%2BfXvOnTtHamoqgwYNem6s7O3tWbBggaLxAkhNTeX8%2BfPs27eP1NRUevXqxcGDB%2BnSpQuTJ09m2LBh9O7dm/T0dEJDQ4mKitKOrxzbt29n9erVPH78mG7dujF8%2BHC%2B%2BOILHBwcGDhwIBs3bmRWcZLYs2fPolKpOHbsGImJiQQHB9OkSROCg4O5evUqubm5LFmy5Lk6tm7dys6dO1mzZg0NGzZky5YthIaGEhsbS/Xq1RUdQznu3r1LWlqazm%2B2xsbYFevXi7W17lYKTbJNQxSfH9qtFFWqyMvUrKm7lUKTQdgQmqTOcsmdKd9ulmOz1GgSGxtCc6yljrkGlUq6vHFj3a0EdetKl5fmUFJB5lFuYqK7lUEuobQmB7eSXNw0bChdXpqTo/iDkUHs7XW3UpTneQH/SSBsCM2gKsnWXbWqdLnmXqDkniDXzxo1dLdySCWftrXV3cohNxaacZAbDyjXm1A9mXtLqa5NUCc3NoS5ue5Win86mXRJXsMZqfJGGFyCF0pKcRr2BjI3w6NHj/LkyRPGjh1LpUqVtC/ukZGRTJ48mc6dO%2BsYXLGxsXh5eWFhYcGePXvw8vLCw8MDgBYtWuDn50d0dLTW4LK3t8fb21unTm9vb1xdXQF1sIbvvvuOwsJCbXnv3r2xtLSkZcuWWFpa0rZtW%2BrVqweAq6srfxRnq9%2B1axd9%2BvThnXfegf/P3pnHVVF9AfzLIpsLooIb4IKCGwiI4oKiaLmlkmYuaSqWu%2BWuUf0sdyvNTM3clzQxJXNrEZEotzRKCcWVEnBBBQRU9vn98WTiwXszg2C23O/nw%2Bc95pw5c%2BfOzH33zD33XODZZ5%2BlRYsW7N%2B/n1GjRgHg5eVF%2B/btAejevTsrVqwgKSmJ2kU6BvHx8VhZWcmO2uPWF8D9%2B/eZNGkSNjY2NGzYEDc3N65evQpAWloaNjY2mJqa4uDgwM6dOzEtQYPas2dPHBwcAKhfvz5NmzaV5%2BK1atVKPg6Aqakp48ePx9zcnBYtWuDn50dERARdunRRPMauXbsYPHiwPLoWFBTEunXriIiIoF%2B/foDxa6j1XEJCQlixYoXetgnjxzNx8GD1nbt313QMTUyYUHa2AEaOLDtbrVurqix4RpupsjxNDcV6xCva1J5/XoMpjbaMvGAqzExtlnj0TkoFjU6Bmjf7iF69tJnr0EGLsUXajL32mjY9LUyZUna2%2BvYtO1sAvXuXna1Hv2%2BKaLpIwKM2tUwYOLDsbAE8%2Bm1XpEcPbbY0NEJvaLNEUJBGRTRcp8aN1XV%2B%2BEHrAcse4XCVGuFwCZ4oJiYmgC4EsIBTp04R9KilkiSJmjVr8tJLL%2BHk5ISFhYWsV6dOHa5fv05%2Bfj7du3dn1apVpKamYmtrS1hYGG%2B99RYA165d4/jx47i7u8v7SpIkO2BAMccGwLHQK2YrKyvy8vLkkDuAmjVryt8tLS2pXuh1lqWlJdmP3vRdu3aNo0ePsnnzZr3jN2jQwOixADmEr2h95efnI0mSXHeGSEhIUKwvADs7OyoUegNqbW0tH3PKlCkEBwezfv16/Pz86NOnDy4uLkaPVxStdQPg7Owsh40C1KpVS3ZWlUhISChWJmdnZ73QUmPXUGtikQEDBhAQEKC3zT48XLnDbGenc7a%2B/hoehXca5bfflOW1auk6ACtWwPXryrpaR7hGjoT16%2BHWLWXdli2V5RUr6ryaEycgPV1RNfiIssdVktMs8l6kNMUC4Jk/1ikrVK2qc7a%2B/BLu3lXWXbVKWd6oke7eGTwYYmMVVRcPiFKUV6%2Buc7Y2bVK/lDNfUSm3mZnO2UpNhbw8ZV1g3zFlB87WVtePj4yEQpHVBul1dJayQq1aOmdr%2BXL1m0PLCNeUKbB0KRRqJwyiNgpZtarO2QoNVb8vQNsIV%2B/esHcvJCcr69avryyvUEHnbEVFQUaGsu7588ryatV0ztbu3XDnjrIuqI9wDRwIO3ZAkcgBg6j95lSqpHO2fvwR0tKUddXCyUvQCC2suEBRXr26ztnasEH92QR4o6vCs25trXO2zp%2BHhw/VjQn%2BsQiHS/BEqVu3LiYmJly9elXulLds2ZLo6GhAN9doxYoVeh30whQ4HS4uLri4uHDkyBFcXFzIyMigw6M3d1ZWVgwaNEgOYTOEmYFQGrVRkKIOjzF9Kysrpk6dKjuRhtA64lKnTh2ys7P5448/qKcQiqNWX2rH7N%2B/P126dCE8PJzDhw8TGBjIhx9%2BaHDUqfCon6HjqB0rr0gHT82ZLKC056gFBwcHeaROJixMW2chJUVdT4NjCeg6AGq6muK3HnHrFjwaXTZKw4babKWn6zrqCpTlaaocSkZDsXTcvKnN4N276rq//KLNVmysqm5CO22mbt2CR1MijVPohZYieXmadNX8gQLu3dOgGxenzdj16%2Bq6Sp39wiQmQqFRdoNoHO3TdF8AFHr5pUhysnovXWt4X0aGuiOi9f6/c0ebroEXhcW4fVvdeQZtYdmgO0e1G60MG6F4jbeGlmYW0BYK%2BPDh0w0ZVEOMcJUaUYOCJ4qtrS3t2rVjw4YNBuUFnXknJyfi4%2BP1OtlXr17F0dFR7lR37dqVI0eO8N1339G5c2d5FMPZ2ZkLFy7o2b1582axjv6TwtDxr1%2B//ljZBBs3boyTk5PB%2Brp9%2BzY9evTgjz/%2B0FRfSqSkpGBnZ0e/fv1YtWoVo0ePZteuXQBYWFjojb5du3atxOdRmBs3buiNcF6/fl1vRMwYzs7OeqGJubm58rkLBAKBQCAQ/FMQDpfgifPmm29y9uxZJk%2BeLGevS01N5YsvvmDp0qV4eHjQoUMHzM3NWblyJdnZ2Vy9epUtW7YQGBgo2%2BnevTsnT57kyJEj9CgUr/3CCy8QFRXF7t27yc7O5vz58/Tv3/8vSzc%2BYMAADh48SEREBLm5uZw4cYLnnnuOM2fOaNrf0tKSP/74g4yMDExNTXn33Xf58ssvWbBgAcnJyeTm5nL69GlGjBghr9elpb6McfPmTQICAvjxxx/Jz88nPT2dixcv4uzsDOhGJSMiIsjMzOSPP/5g3759paqf3Nxc1q1bR3Z2NqdPn%2Bbo0aNyGJ%2BlpSU3btwgLS1NzykD6NOnD9u3b%2BfKlStkZ2ezevVqOZOhQCAQCASCvwiRFr7UiJBCwROnfv367N69m5UrVzJ48GBSU1OxsbGhadOmBAcH06NHD0xNTVmzZg2LFi2iTZs2VK5cmcDAQMaMGSPbcXFxwcHBgVu3btGuXTu97UuWLGH58uW8%2B%2B67ODg4MHLkSD2n7EnSrl07Zs6cyZw5c7hz5w6Ojo688847eHp6atp/4MCBvPfeexw7doxPPvmEdu3asW3bNlauXEnXrl3Jzc3F0dGR/v37M3ToUADKly%2BvWl/GqFGjBvPnz2f%2B/Plcv36dChUq0KFDB157NGl90qRJTJ8%2BHV9fXxo3bszIkSN5/fXXH7t%2BGjZsSG5uLu3btyc3N5eRI0fK2SJ79erFN998Q6dOnYo5dkFBQaSkpPDqq6%2BSlpZG48aN2bJlC5W0ZKwSCAQCgUBQNvwHHaSyRjhcgr8ER0dHFi5cqKjj4eFhNH18AcZGW7p37053I1njFi0qniUrPDxc739fX185LNDR0bFYiODRo0f1/i%2BaxnzIkCEGU7kDbN26Ve//ovaDg4MJDg7W02nevDlr1qwxaK8Apfrq27cvfYtk1ypcjh49ehh1SBs1alSsnguXt2jd7Ny5U%2B//adOmFbM5YcIEJhjIDuXj48PJkyfl/wtfF3Nzc2bOnMnMmYbzuSldQ4FAIBAIBIK/C8LhEggEAoFAIBAIBIYRI1ylRtSgQCAQCAQCgUAgEDwhTKTHSaUmEAgE/1ZOnVKW29hA06YQEwMPHiiqfn5Zea0rOzvo1g2%2B%2BUZ9SS8tWacrV4bOneHwYfWU6f1aq6xTVK4cODhAUpL6%2BkdGwmllGjaENWtg1Ci4dElZV21hWAcHeOkl2LZNVzYVfntmsqLcygoaNIDLl9UzXn/6qbLc0RFmzoTFi9VTuX%2B8QmVpBC8v3TpL3t7q6ejVCm5ioruBsrNBy0/%2Bnj3Kcjs7ePZZ%2BO471Rt3QOgARXm9erBoEcyapZ4VXu02rF8fPvgApk1TzwqvVg3168OSJTB1qrot0F17NbnWe%2BN//1OWm5vrLkFKinqWf3tUlq4oiTFQXvfLwkK3FlpiorYU/lWqKMtNTXUL76Wng4HlSfS4eFFZXoJ2mz59lOXu7vDtt9C1Kzxa4kaRuXONy6pWhcBA3TOnZb23slzUviQ8iSRkXbuWvc2/MSKkUCAQCAQCgUAgEBhGhBSWGlGDAoFAIBAIBAKB4B9DYmIio0aNwtfXl06dOvH%2B%2B%2B/La7sW5fPPP6dr1654eXnRp08fwsLCZNmsWbNo0qQJ7u7u8p%2BPj0%2BZl1eMcAkEAoFAIBAIBALD/A1HuCZOnEjTpk0JCwvj7t27jB49mmrVqjFixAg9vW%2B//ZYlS5bw6aef4uHhwZ49e5g0aRJff/01Tk5OAIwdO5aJEyc%2B0fL%2B/WpQIBAIBAKBQCAQCAwQHR1NbGws06ZNo2LFitStW5fhw4cTEhJSTDczM5MpU6bQokULypUrR//%2B/Slfvjy//vrrX1pm4XAJBH8hCQkJuLm5ceXKFYPy0NBQeVHnU6dO4e7uTraWyccCgUAgEAgETwJT0zL/S0pKIiYmRu8vSUMiJICYmBhq166Nra2tvK1p06bExcWRUSSxS58%2BfRg8eLD8f1paGvfv36d69erythMnThAYGIiXlxcvvPACv/32WykrrDgipFAgKCEBAQHcunUL00dD7BYWFri5uTFp0iRatWpVZsdp2bIl0VoyIAFDhw6lefPmBhcd/quIiYnh3r17tG3b9j91bIFAIBAI/tU8gZDCkJAQVqxYobdtwoQJmkL7UlNTqVSpkt62AucrJSWFChUqGNxPkiTeeustmjdvLvfXnJycMDU15fXXX6d8%2BfKsWLGCoKAgvv32W%2Bzs7B7n1AwiHC6B4DF46623GDRoEAAPHz7k888/Z9SoUezbt0%2BOCf6vsXv3bmxsbJ6K0/M0jy0QCAQCgaBkDBgwgICAAL1t9vb2mvcv6apWOTk5zJo1i8uXL7NlyxZ5%2B/jx4/X0pk%2Bfzv79%2BwkLC6N///4lOoYSIqRQICgl1tbWBAUF4eDgQGRkJAEBAXz%2B%2BeeyPDIyEjc3N719oqOjee655/Dy8mLYsGHcunWrmN2TJ0/i5uZGVlYWAPHx8QQFBeHl5UWnTp30GozCFIQtHj16lMDAQDw9PRk4cCAJCQlcuXIFNzc3EhP/XIMpNzcXX19fDhw4AMDBgwfp06cPnp6edO7cWS8m%2BsyZM7z44ot4eXnh6%2BvLm2%2B%2BSWZmJnPnzmX79u1s2LCBZ555BkCuh4LRt4EDB3Ljxg2mTp2Kl5cXXbt21Ru2P378OAMGDMDLy4v27duzcuVKWfbxxx8zduxY1q5dS7t27WjZsiXz5s0DMHhsgUAgEAgEZcQTCCl0cHCgadOmen8ODg6ailOlShVSiyw2mZqaiomJCVUMrO%2BWmZnJ6NGjuX79Otu2baNatWpGbZuZmVGzZk3N4Y1aEQ6XQFBG5OXlYWZmpkl3586drFmzhoiICPLy8nj77bdV95kwYQIuLi4cO3aMVatWsWzZMo4ePWpUf8uWLXz66adERETw4MED1q1bh4uLCw0bNtRLiXrq1CmysrLo1KkT0dHRvPnmm0yfPp2ff/6ZxYsXs2jRIqKiogCYMWMG/fv35%2Beff2bfvn1cuHCBkJAQ3n77bVq2bElQUBCHDh2SbW/fvp05c%2BZw%2BPBhEhISeOmll%2Bjbty8nTpzAyclJDie4efMm48aNY9CgQZw%2BfZp169axY8cO9u3bJ9uKiooiNzeXI0eOsHz5crZu3crZs2eNHlsgEAgEAsG/j2bNmnHjxg2Sk5PlbdHR0TRo0IDy5cvr6UqSxOTJkzE3N2fTpk16YYKSJLFw4UJiY2PlbdnZ2Vy7dq3Mo5VESKFAUEru37/Pjh07SE5Oxt/fnzVr1qju89JLL1GrVi0Ahg8fzqRJk8jNzTWqf%2B7cOS5cuMDmzZuxtramcePGrFixQm/SZ1EGDRoky/38/OT5YN26dSMsLIxhw4YBEBYWRseOHbGxsSE0NJSOHTvi5%2BcHgI%2BPD927d%2Berr77C29ubtLQ0bGxsMH30dmrnzp3yXDZDdOzYkXr16gHg4eHB/fv35aQgfn5%2B7NixA4D9%2B/fTsGFDAgMDAXBzc2PgwIF89dVX9OrVC9C9dRo9ejSmpqa0adOGKlWqcOXKFTw8PFRq2zhJSUncvn1bb5v9gwc4KLz9wspK/1MBtfDvghD0IqHoBilXTl2nYkX9z1IZNDfX/1SiYUNlubOz/qcSam84CypVY2y92mWytNT/VMLRUVle8DgqPJZ/4uWlLG/USP9TCRMTbXI1vQLU6rYEN9qjx98oj5pB%2BVMJhSYSgNq19T%2BVUItGKoktUL9tS3JvqD1yBe/1tL3fK1NjYGFhXFbQpmhprEB9XlCBXMv8IRsbZXkJ2m3c3ZXlDRrof0%2BGKSoAACAASURBVKpRtapxWUHSh0LJH4xy96624z0J/mZp4QvWzVqyZAlvvPEGt27dYuPGjQQFBQG6fs68efPw8fFh3759XL58mb1792JZpKE3MTEhISGBd999l2XLllGhQgU%2B%2BugjypUrR5cuXcq0zMLhEggeg3nz5rFgwQIArKysaNy4MZs2baJmzZqa9ndxcZG/Ozs7k5OTw12FxvTatWtUqFCBypUry9vU5is5FuodWltby6GJ3bt3Z9WqVaSmpmJra0tYWBhvvfWWfJzjx4/jXugHR5Ik2QGbMmUKwcHBrF%2B/Hj8/P/r06aN3LkWpUaOG/N3S0lJvIqulpaWcgfHatWtER0cXO269Qr21WrVq6Tl31tbWZGZmKtaBGgYn7Y4fz8TXXlPfWeG8C%2BjWVFs5ynrqmbbcLdpCNzAQnlEMDS8ZAHh0n5UJPXpoUtPYJULLy8yZM7XZGj5cg9LMKG3Gtm/XpqcFrR3hZ5/VptemjarKIo2mtDxyWpk8uexsTZlSdrZA472hES0vakDjpH9txrS96NAYFqaZIiMWBmmqsbHV0G7z7bfabBUKey81nTqp66xfX3bHKyl/M4cLYPny5bz99tu0a9eOChUqMHDgQDkbYVxcHA8ePAB0c7wTExOLJTXr06cP8%2BbNY/78%2BSxevJi%2BffuSkZGBh4cHmzdvxkbNiS8hwuESCB6Dwkkz1DC08nlhx6Fg4mfRNy9F9Y2toG4MEyNvs11cXHBxceHIkSO4uLiQkZFBhw4dAJ3zOGjQIKMhjv3796dLly6Eh4dz%2BPBhAgMD%2BfDDD42%2BCSo6%2BmVsNMzKygp/f39Wr15t9HyURtIeF4OTdu/cgZgY4ztZWel%2BtK9cARWH75t45U5ApUo6Z%2BvYMUhLUy6r1hGuVq3gp58gPV1Zt7O7Sny6ubnO2UpOVh9aUHOknJ11OvPmwbVryrr%2B/spyOzuds3XwIKSkKOsCl31fUpRbWuqcrfh4ePROwii7dyvLq1fXdag3bQID0zL1mBnirazQqJHO2Ro8GAqFuxjkxAlluYmJ7gbKyVEf2gGIiFCWV6yoc7aOH1e90WaFK3tctWrpnK3ly%2BH6deXDahnhmjwZPvwQCk1TNYiWEa4pU2DpUnVboG2ES%2Bu9MWqUstzMTNd2pKVBXp6yrh0qz0hJjAE86sQapFw5XUUkJenuNTXUnDxTU52zdf8%2BqP3%2BqbUrJWi3Vb3sBg10ztb48XD5srIuwNixxmW2tjpn68gRuHdP3ZZApkaNGqxdu9ag7MKFC/L3zZs3K9qpXLkyCxcuLNOyGUI4XAJBGWNhYaE38nLNwA9BXFwcrq6ugC4ZhpWVld7oVVGcnJy4f/8%2BSUlJ8qTSsLAwKlWq9Fip6Lt27cqRI0e4cuUKnTt3lp09Z2fnYqnob968ib29PWZmZqSkpGBnZ0e/fv3o168fK1asYNeuXaUeend2diYsLAxJkmRH8fbt29ja2mKhFMJSShwcHIpP0j11SrlTUUBmpqqeBn8A0PV11HRLUg3p6VBkPnFxtHSIQNfLVdO9dEmbrWvX1HUbN9ZmKyVF17FTQesgaFaWum5CgjZbt25p0P3lF23GYmPVdbVm65Ikbbpab9z0dFXduDhtpq5fV9fVessmJsLVq8o6WqtMiy0Arcslark31BzLAvLytOiWqTFtJ5qTo01P60vE/Hx1XS1tNmhqt9G4HAuXL2vT1RIKeO/e0w0ZVONvOML1T0PUoEBQxtStW5eIiAgyMzP5448/9BI/FLBt2zZu375Neno6mzdvVnVYGjduTJMmTVi2bBn379/n4sWLcobAx6F79%2B6cPHmSI0eO0KNQaNYLL7xAVFQUu3fvJjs7m/Pnz9O/f3%2B%2B/fZbbt68SUBAAD/%2B%2BCP5%2Bfmkp6dz8eJFnB/Ny7G0tCQhIYF7j/GWrmfPnqSmprJq1SoyMzPljIxqb6YKKM2xBQKBQCAQKPAEshT%2B1/jvnbFA8ISZNGkSycnJ%2BPr6MnPmTEaOHFlMZ%2BDAgQwbNowOHTpgYWFBcHCwqt3Vq1eTmJhI27ZtGTNmDOPGjZNDAUuKi4sLDg4O3L59W05iUbB9yZIlrFu3Dh8fHyZOnMjIkSPp0aMHNWrUYP78%2BcyfPx8vLy%2B6detG%2BfLlee3R5Iu%2BffsSGRnJs88%2BS56W0JRC2NnZsWrVKg4fPkzLli0ZMmQInTp1kifAqlGaYwsEAoFAIBA8SURIoUBQQsLDwxXljRo1KjaqVRBP7OjoKH/vYWDSf9%2B%2Bfenbty8Avr6%2BenHI1atXNzris3XrVvl74WMUMHHixGKrtxsaeQPd6Ff37t0Nynr06GGw3IZkRevpww8/1Pt/0KBBevPgWrduTWhoqEHbhspf2L5SuQQCgUAgEJSC/%2BCIVFkjalAgEAgEAoFAIBAInhBihEsgEAgEAoFAIBAYRoxwlRoTSdKaq0cgEAj%2BA6gl3jA11aXFTk9Xz5yllvXLzAwqV9alFFSbe5aRoSwHXSrDmjXhxg31LGFqaQ/NzcHeHm7fVj2P86nK689ZWekWwI2LU88E2Piayho4FSv%2BmUtfLfc98INNV0V5%2BfLg7Q1RUbrs00q0d1XJ521urlvk9O5d9WuvkJUU0KVyt7DQXUe1n2m1xVy9vHQn6O2tKTviL1HKx7O21mWtj42Fhw9VDm16RlnB2hpcXeHiRXVjate7fHnduf7yi/rFVKOktoosoF4MW1sICIDwcPU2ptD6hUbL5uEBZ8%2Bql01tsfGSpnIvS1uF1mU0SEna2osXleU2Nrq1umJi1LMUqq09aGHx51oSWrIxKqWMtbaGJk3g3Dn1%2Bx%2BgRQt1nSfBGZXn%2BHFo3rzsbf6NES6rQCAQCAQCgUAgEDwhREihQCAQCAQCgUAgMIwIKSw1ogYFAoFAIBAIBAKB4AkhRrgEAoFAIBAIBAKBYcQIV6kRDpdAIBAIBAKBQCAwjHC4So2oQcETw83NjcjIyKddjGLs2bOHgICAp3b8WbNmMXnyZKPygIAAPv/8cwCCgoJYtmzZX1W0p05iYiLu7u7ExcU97aIIBAKBQCAQlAlihEvwWFy9epWVK1dy/Phx7t%2B/T9WqVQkICGDChAlUVkt3/JQJDAwkMDDwsfYNDQ3ljTfewKJQSm17e3u6du3KxIkTsbGxKatiArBhwwZNeidPnuTll1/m7NmzWFpalmkZSkJeXh5btmxhxIgRj7V/7dq1iY6OLuNSCQQCgUAgeGzECFepETUoKDHnz5/nhRdeoEaNGuzdu5eoqChWrlzJhQsXGDRoEJlqC%2B38w6lWrRrR0dFER0dz9uxZ1qxZw48//siiRYuedtGeOufOnWPdunVPuxgCgUAgEAgEfxuEwyUoMXPmzMHPz4/p06dTrVo1zMzMaNy4MZ988gmenp4kJSXJurdv32bYsGF4eHjQo0cPLhZanHDv3r306NEDLy8vAgIC2L59uyz7%2BOOPGTt2LGvXrqVdu3a0bNmSefPmyfLk5GTZbp8%2Bffj%2B%2B%2B9xc3MjISEB0IWmjRkzBl9fX1q2bMmMGTPIeLRwbGhoKO3atQMgISEBNzc3jh49SmBgIJ6engwcOFC2o4aJiQkNGjTg1Vdf5dChQ8XsF/Diiy/y8ccfy/9LksS8efPw8fGhY8eObN261aD9oUOH8sEHH8j/b9iwgU6dOuHt7c3IkSONlnPWrFnMnTuXhQsX0qpVK1q3bs3atWsBmDRpEm%2B88Yae/qZNm%2BjevTsAqampTJs2DT8/P7y8vBg7diy3bt1Sra%2BzZ88ycOBA7ty5g7u7OydOnABgx44ddO/enebNm9OtWzcOHjyod37vv/8%2BvXr1YtSoUbL9K1euqJYlPz%2BfRYsW4efnh6enJ7179%2BaHH35QulwCgUAgEAhKiqlp2f/9xxAhhYIScffuXaKiogw6CBUqVGDhwoV620JCQli8eDH29vaMGzeOpUuXsnr1auLj45k5cybr16%2BnTZs2nDhxgqCgILy9vWnUqBEAUVFReHh4cOTIEX7%2B%2BWeGDx9O79698fDw4M033yQnJ4fIyEhSUlKYOnWqfExJkhg3bhze3t58%2BOGHPHjwgClTprB48WLmzp1r8Ly2bNnCp59%2BiqWlJS%2B//DLr1q3jnXfe0Vwv%2Bfn5mJmZadaPjIxk%2BvTpHDt2jIiICCZOnEjz5s3x8PAwuk9YWBhr165l48aN1K9fnzlz5jBt2jR27NhhUH///v3MmjWLo0ePsnfvXt5%2B%2B2369OlDt27deOedd8jLy5PLfOjQIXr06AHonDVzc3MOHDiAmZkZs2fP5o033tALbzRWX3PnzmXJkiUcPXoUgPDwcN5//30%2B/fRTmjdvzqFDh5g%2BfTouLi64ubkBcODAAZYvX467uzuJiYl656BUlgMHDnDs2DH27t2Lra0te/bsYebMmXz//feUK1dO03VISkri9u3betvsra1xsLc3vlPBD4WWHwy1e6JAruXeKRTGahRzc/1PLbplYMvKSlleUHQtp0DFisry8uX1P1Uor1I2a2v9T0XU6qIk19PERJtcTQ/Ay0tZ/qhNlT9VUKuLgqhlTdHLpmVoLD9fWV6ii6lCSW1lZyvLK1TQ/1RC7d4uSdnU2sKStBlqlNSWWhtakrZWLZy/oJFSa6xAvaEqqFONvzOK16kk5Xr4UNvxngT/QQeprBEOl6BExMfHA1CvXj1N%2Bn369JF1CyeDcHR05MSJE9ja2gLQpk0bqlatSkxMjOxwmZmZMXr0aExNTWnTpg1VqlThypUrNGvWjB9%2B%2BIFly5ZRuXJlKleuzIABA/jf//4HQHR0NJcuXeLzzz/H2toaa2trJk6cyMiRI5kzZ47Bcg4aNIjq1asD4Ofnp3kekSRJXLlyhfXr18sjRFpwcHBg0KBBADz77LM0btyYyMhIRYdr9%2B7d9OzZU66fyZMn89NPP5FvpBPi6OjI888/D0CPHj0IDg7m999/p2PHjmRlZfHzzz/TqlUr2YmeM2cOd%2B/e5ciRIxw8eFC%2BNtOmTaNjx456jonW%2Btq1axfPPfccPj4%2Bcjk2bNjAt99%2BKztcHh4eBs9brSxpaWmYm5tjbW2NmZkZ/fr14/nnn8e0BD8MISEhrFixQm/bhPHjmfjaa%2Bo7a%2Bzwa0LNyQAoydxIJYexpNjZqarU03i42rU1KNVrq81Y8%2Baa1Ly1WaNxYy1aVbUZK8t5rFo6dVFR2mwViiJQQptbBtp%2BBly1GatTR%2BNRNaDRsfzLbQG0alV2tho2LDtbVar8PW2Btra2aVNttlxcSleWwtSoUXa26tdX1/n557I7nuAvRzhcghJh8uhtq7FOflEcHR3l75aWluTk5Mh2Pv/8c3bt2kVSUhKSJJGdnU12obeEtWrV0us8W1tbk5mZSWpqKjk5OdQu1Htzd3eXv8fHx5OXl4evr69eWfLy8khJSVEtp7W1NVlZWUbPqSBkroCaNWvSvXt3xo0bZ3SfojRo0EDvf2dnZzlUzhjx8fF651S1alVFJ6/oOQFkZmZiZWWFv78/YWFhtGrVivDwcBo2bIiLiwu//vorQLGkImZmZty4cYMqj35ItdZXQkICrVu31ttWp04dvZGs2kZ64QXOvbGy9OzZk6%2B%2B%2BooOHTrQrl07OnbsSM%2BePUvkcA0YMKBYxkp7a2tITze%2Bk6mprgNw/776G/e8PGW5mZnO2UpPV9fV8nbT3FznbN2%2BDbm56rpqcjs7SElRtRWXoexxWVjonK3ERPWBgHo3jikrlC%2Bvc7bOnNFdAxWirJQdOGtrnbN1/rx6FXvXuausYGamc7ZSU9Wvp5qTbWKic7ZyckCSlHWLPGPFaNRI52wNHgyxscq6QOx2ZQfO0lLnbMXFgUJTqTu06UVlBUtLnbP1xx/qxtSut7W17lxjY0s/GlBSW0Z%2BW2QqVNA5Wz/9BI/C241SrZp62Ro2hEuX1Mum5hSYm%2BscpORk9TZDjZLaUhuhK0lbe%2B2astzKSudsXbkCavPMK1VSlpcrp6vXmzd1z6caSr8nVlY6Z%2BvqVfVyPU3ECFepEQ6XoEQ4OzsDcOnSJXmEQwkTI%2BEwX3zxBWvWrGHVqlW0bNkSMzMz/P399XSMdZylR50P80IdxsK6lpaW2NjY8Msvv6iWT62chqhWrZocMqeVvCKdr6LnJkmSanZBExMT%2Bdy1oOR4dO/enffee4/g4GC%2B%2B%2B47OZzQ6lFYQ2RkJHYGRjYK5oxpra9sI73rwvsbC8VUKwvAzp07iYqK4siRIyxfvpzPP/%2Bcbdu26d0bSjg4OODg4KC/8d499R930OmU1uEqrKemq%2BapFCY3t2T6arZUOk9a%2BwnZ2Rp0lTonhbl/X5PufY2X4OFDDf6b1g5pXp66rtZnWZLUdbW2dbGxmnS1%2BipZWRp0TcvQmAYHG9B4MTWi1da9e9rsZWSo62oNY9RSNi0OAejuV626ZWVLa0ZdLW3tgwfabGVmqutqCe8D3TlqaWe1PFCZmU83ZFDwxBEuq6BE2NnZ0apVKzZu3FhM9vDhQ/r27cvPGoa9o6Oj8fHxoXXr1piZmXH79m29ZBtKVK5cGTMzM65fv65nrwBnZ2cePHggj5AAZGRkGB3dKmssLS15WKjhzMvLKzY3qeg6U9euXSve8S%2BCk5OT3n7Jycls2LBBHjUsCf7%2B/iQnJxMVFcWJEydkh6t27dqYmppy4cIFWTcnJ0d19M0Yzs7OXL16VW/b1atXcXJyUt1XrSxZWVk8fPgQb29vpk6dyv79%2B7l48SKxGt7gCwQCgUAg0IhImlFq/ntnLCg1b775Jr/%2B%2BitTpkzh5s2b5Ofnc/78eV555RWsrKwU5yEVULt2ba5evcq9e/dITExk3rx51KpVS1PH3szMDB8fHzZu3Eh6ejpxcXF88cUXstzV1RUvLy/mz59PcnIyaWlpzJ49mxkzZpTqvLVSp04d7t%2B/z48//kh2djaffvppsZGphIQEvvzyS3Jycjh8%2BDAXLlzgmWeeUbTbr18/Dhw4wJkzZ8jOzmblypV88803mhNEFMbKyoqOHTuyZMkSXF1d5ZHLihUr0qNHDz744ANu3rxJZmYmS5cuJSgoSNPompWVFenp6dy6dYvMzEz69OnDvn37%2BPXXX8nJySE0NJRLly7Rs2dPVVtqZZk/fz4zZ84kOTkZSZKIiYkhPz%2BfWrVqlbg%2BBAKBQCAQGEE4XKXmv3fGglLTqFEjdu7cSX5%2BPs8//zxeXl5MmjSJ1q1bs2HDBk0OwKBBg6hTpw7%2B/v6MGjWKIUOGMGTIEDZu3Mi2bdtU958/fz5paWm0a9eON954g9GjRwN/htEtWbIESZLo3LkzzzzzDHl5eX/ZOlnNmjVj%2BPDhTJ48mQ4dOmBubo5XkSxiXbt25cyZM7Ru3Zq5c%2BcyZ84c1UQknTt3ZvLkyYwfP57WrVvz%2B%2B%2B/s2TJkscuZ7du3Th9%2BnQx5%2Bftt9%2BmTp069OzZk/bt23P58mVWrVqlKYywdevWODo60qVLF8LDw%2BnZsyejR49mxowZ%2BPr6sn37djZs2EDdunU1lVGpLFOnTsXU1JSuXbvi7e3N/PnzWbJkiTzPTCAQCAQCgeDvgIlUkkkhAsHfiOzsbCwepW89ceIEI0aM4MyZM/I2geCxUJtfYWr6Z6ILtXkFavN4SpJkQW2iPeiyU9SsCTduqM8tUHtOSpCA43xqTUW5ldWfSRbU5nA1vvatskLFitC2LRw7pmkO1w82XRXl5cuDt7cu0Z/adJj2rioj8ObmULUq3L2rfu3VMhmamOiuUXa2%2BhwutTknXl66E/T21jSH65co5eOVJJ%2BEl%2BkZZQVra3B1hYsX1Y2pXe/y5XXn%2BssvpZ/DVVJbRZaXKIatLQQEQHi4ehujluiifHnw8ICzZ9XL9ih6wSjlyoGDAyQllX4OV0ltqaXIL0lbe1ElOYuNjS6TYUyM%2BhwutZd2Fhbg5ATx8drmcKWmGpdZW0OTJnDunLY5XC1aqOs8CYpMiygTNKWt/fcgRrgE/0iCg4N59dVXSUtLIz09nY0bN9K2bVvhbAkEAoFAIBAI/lYIh0vwj2T69OnY2trSpUsXunTpgpmZGfPnz3/axRIIBAKBQCD4dyHmcJUakRZe8I/Ezs6O5cuXP%2B1iCP6NJCcryy0sdGEuaWmq4ST7Y5Tn5VWqBB06QOTZyqSlKR%2B2XDn1RXcrVoS2NeFYXE3V6Cu13DbmgD1wG3vUkqE33rtYWaF6dag3nHrfbwK1xDhjxijLC36o3d01pe9vb6WytpOJCWCBdzP10L3NO5SXwqhSBXr1gn3HqqreRsOsQpQV7Ozg2WchIkJ1jSdNIYDo1tfSErXk5a0yX/NRiGKjweohivv3KZetUiXo4AqRN11Vn4Hvv1eW164Nk7xg2fdeqhFQhZYSNIi9PQz2gu3nvVSjBbVgbw%2BDge03A1Tt%2BalEAVqbQxPgnLkHD1WCOlpUUmkICp6n8uU1PU9xd4yvH2cB1AYScxw0RdpVUNExNwc7ICW3omqEblqVlopyCwtwAuIrNSVbJQLX5fx%2BZYVKlXQhhXFxqN60oLyod8Gc93LltC8j8jT4DzpIZY2oQYFAIBAIBAKBQCB4QogRLoFAIBAIBAKBQGAYMcJVakQNCgQCgUAgEAgEAsETQoxwCQQCgUAgEAgEAsOIEa5SI2pQUCqysrJwc3Pj5MmTT7soT4Q9e/YQEBDwVI69YMECZsyY8VSO/U9CkiRGjBjBp59%2B%2BrSLIhAIBALBvw%2BRpbDU/PfO%2BF/M77//zqxZs2jfvj0eHh74%2BfkxceJEzp0797SLZpSLFy/Sv39/vLy8GDx4MPHx8Yr6OTk5LF%2B%2BnK5du%2BLp6YmXlxdDhw7l9OnTT6R8gYGBhIeHPxHbSkRGRvL111/z9ttvAzB06FC8vLy4VSTDW0JCAm5ubprt7tq1i2Qj6dNOnjyJm5sb7u7uxf68vLwe/2RKwfHjx4mOjlbUMTExYeHChaxdu5bffvvtLyqZQCAQCAQCgTaEw/Uv4fz58/Tr149q1aoRGhrKmTNn2LFjB9WqVWPgwIGcPXv2aRfRIAsWLKBXr16cPn2aVq1a8fHHHyvqL1q0iPDwcJYvX87PP//MDz/8QNu2bQkKClJ11v5JLFu2jKFDh1Kx4p8peC0tLVm0aNFj28zLy2PRokWkqKSYPn36NNHR0Xp/v6ikfn5SbNq0SZMTVaNGDQIDA1mxYsVfUCqBQCAQCP5DiBGuUvPfO%2BN/KXPmzMHf359p06Zhb2%2BPiYkJjo6OzJ49mylTpmBu/ud0vUuXLvHyyy/j4%2BODr68vs2fPJivrz7VqwsLC6N27N56engQEBLBlyxZZ9uDBA6ZMmYKPjw9dunQpNvoTGhoqjz516tSJDRs2KJb7xo0btG3bFjMzM2rXro2JifL6L0ePHqVnz564ublhZmZGhQoVGDt2LPPmzcPCQrcgSWZmJnPmzKFjx454enoydOhQLl%2B%2BLNtwc3Nj06ZN%2BPn5sWLFCpo1a8ZPP/2kd5zevXuzZs0aQkNDadeunbw9JiaGAQMG4OnpSdeuXTl48KAsi42NZdiwYfj4%2BNC6dWvmzZtHTk4OAHfu3GH8%2BPH4%2Bvri7e3N8OHDjTqIZ8%2Be5dy5c7zwwgt620eOHMmPP/6oGL6ZmprKtGnT8PPzw8vLi7Fjx8qjYq1atSI9PZ0%2Bffo8tmOydOlS%2Bvfvj/RovaJLly7h7u5OdHQ0J0%2BepGnTphw5coTOnTvj4eHBhAkTuH//vry/0r01a9Ys3nzzTYYOHcpzzz3HmDFjiIiIYN68eQwbNgyANWvW0KlTJ5o3b07Xrl356quv5P0HDBhAREREsVFAgUAgEAgEgqeJSJrxL%2BDu3btERUWxfft2g/Lhw4fL37OzswkKCiIwMJA1a9aQlJTEmDFj%2BOijj5gxYwaxsbG8/vrrfPTRR/j7%2B3P69GnGjBlDnTp18Pf3Z/Xq1cTGxnLgwAEsLS2ZPXu2bPvmzZvMmTOHkJAQ3Nzc%2BO233xg5ciStW7emSZMmBstWMP/r%2BPHjbN26VXUeTr169fjyyy/x8/OjcePG8vbevXvL3z/44APOnTtHSEgItra2LF%2B%2BnAkTJvD111/LDl1YWBh79uyhatWqREdHExYWRqtWrQCIj4/nwoULrFy5klOnTsl2Hz58yOjRoxkxYgRbt27l1KlTjBkzBjc3N2rVqsUrr7zC0KFDWbt2Lbdu3WLcuHGsX79erl9bW1siIyPlkabFixcbdHyOHz%2BOm5sbVapU0dtetWpVJk6cyNy5c9mzZ4%2BeE13ArFmzMDc358CBA5iZmTF79mzeeOMNNmzYwFdffUXnzp356quvcHFxUaxnY4wfP55vvvmG0NBQ%2BvXrx/z58xkyZAju7u6cPHmS3Nxc9uzZQ2hoKJmZmYwYMYKPPvqI4OBg1XsL4PDhwyxcuJCOHTtiYmJCQEAAr776KoMGDSIqKootW7awc%2BdOatasydGjR5k4cSJ%2Bfn5UrVqVhg0bYmdnx4kTJ%2BjTp4%2Bm80lKSuJ2kVVI7XNycLC3N75T4YUqVahUSVleoYL%2BpxIGLncxypfX/yyNvQK5luNSXXlBYAru5SL3tEHU3nwWyLW%2BIVV5iSPL1fRQL76trf6nIpZ2yvKC0e2KxheaLcDaWuVQlvqfqqiFEDdqpP%2BpQFk%2BA7VrK8sLHlulx7eorjHs7PQ/S0tJ7KldTysr/U9Fyvh5slBYaLkETSOg3raYmel/Pm65CpdJU9nK8qYF5QtVkoczM1Pb8Z4E/8ERqTJHEvzj%2BeWXXyRXV1fpzp07qrqHDh2SWrRoIWVlZcnbPvvsM6ljx46SJEnSvHnzpJEjR%2Brt89prr0kzZsyQJEmSunXrJm3ZskWWRUdHS66urtKJEyekS5cuSe7u7tK1a9dkeV5entGyZGRkSJMnT5ZcXV2lBQsWSCkpKZIkSdK9e/eM7pOYmCgNGDBAcnV1lTp16iRNmzZN2rdvn3w%2BeXl5kpeXl/T999/L%2B2RlZUnu7u7Sr7/%2BKkmSJLm6S72w7wAAIABJREFUukqfffaZLP/yyy%2BlgIAA%2Bf/169dLL7zwgiRJkrR7926pbdu2kiRJ0nfffSe1atVKys3NlXXDwsKkhIQE6eDBg7JeYbvdunWT6/B///uflJ%2Bfr1ovU6dOlaZNm6a3bciQIdLu3bul3NxcqVevXtLGjRslSZKk%2BPh4ydXVVZIkSbpz547k6uoqXb58Wd7v%2BvXrkqurq5SUlCTrFpYX5sSJE5Krq6vUrFmzYn/z58%2BX9Y4fPy61a9dO2r17t9SlSxfp4cOHevufOXNG1t28ebP0zDPPSJKkfm/NnDlT6tu3r568U6dO0vbt2yVJkqSIiAipffv20t27d2V50XocMmSI9P777xs8P0MsX75ccnV11ftb/tFHmvcXCAQCgeAv4ezZp3fsjIyy//uPIUa4/gUUjNrk5ubK206dOkVQUBCgy%2BJWs2ZNDh06REJCAk5OTnL4HUCdOnW4fv06%2Bfn5JCQkFBv9qFOnDlFRUYBuFMvR0VGW1a1bV/7u4uJCnz596N69O61atcLPz4/nn38eOwOv9DIyMhg0aBBeXl40bdoUZ2dnKleuzN27d3nmmWc4duwYVgbeCtWqVYsdO3Zw%2BfJljh07xqlTp3jrrbf46KOP%2BOyzzzA1NeX%2B/fuMGzdOLzwxPz%2BfGzdu0Lx5c9lOAZ07d%2Batt94iNjaWRo0acejQIXr27Fns2NeuXaNGjRqYFXrd1rlzZwAOHDjA3bt3cXd3l2WSJMn1/MorrzB27Fh%2B%2BOEH/Pz86N69O23atCl2DNCFBRau18KYmZnxv//9jzFjxhQrY0GIYmBgYLF9bty4UWzEzBinT5/GUuFtW%2BvWrWnfvj3BwcFs2LCh2HWqX7%2B%2B/L1WrVokJSUBqN5bALUVXmG3adOGJk2aEBAQQJs2bejQoQN9%2BvTBxsZG1rGzszOaFMQQAwYMKJaF0j4nBxITje9Urhw4OEBSEjwKGTVG5BXlV/IVKoC3N0RFQUaGclm1jnA1bw5nzkChSE6DNGyofjw7O0hJgUJNi0HsD2xSVqhSBXr3hr17Qe369OunLDc11Z3o/fuQn6%2BsC%2Bpvjk1MdNc0JwcehcoaY9%2B3yq/RbW2hQweIjIR795QP28vyO2WFihWhTRs4fhzS0xVVY52fVZRbWkK9ehAXB4Wix43SaLC3ikIj2L4dBg%2BG2FhF1chlUYrykjwDUcqmsLeHl16CbdugyMB1MRwclOV2dtC9O3z9te4ZKC0lsefpqSy3soL69eHqVfVBjyZ1VBoCU1PdkNrDh5qep8RU48PnJWgaASjUdBvEzEw32JSWBnl5yrpq9065clCjBty8qV42p7hIZYWS3LQANWsal1lagrMzXLum7eEU/GMRDte/gLp162JiYsLVq1ep/ii0p2XLlnJ2t9DQUDl0LTs726CNAudETZ6Tk0NeoZZPKtRBMTExYe7cubzyyiuEhYXxzTffsHbtWnbu3ImTk5OevZCQEGrXrs2cOXOIiYkhKCiIDh06EB4ejr%2B/v0FnqzANGjSgQYMGvPzyy9y%2BfZv%2B/fuzefNmxo4dC8COHTto1qyZ0f0LO00VK1bEz8%2BPsLAwqlatytmzZ1m2bFmxfUxNTck38oNkaWlJw4YN2bdvn0G5u7s74eHh/PDDD0RERDBhwgRefPFFZs6caVBfaS6bj48P/v7%2BvP/%2B%2B7z22mvy9oI6i4yMNOjkJiQkGLVZUhITE7G2tiYuLo62bdvqyfKK/DJqvbdA/7oUxcLCQg5pPXz4MNu2bWPDhg2EhobKyUVMTEz07kk1HBwccCja84qLAyNl1SMnR1UvLU1bOTIy1HW1humAzhdR6aOrOlGF9VR1tc6bS05W19XiRBXoadHVej9IkqquVl/%2B3j0NulYae/Hp6ao99IcaQuhA1597%2BFCDotYkObGxqrpl%2BQwovQcpzO3b6roaIkgBXdWrOW8lQYs9TdcInbOlqlvGz1MZNY2AehhgAXl56m2QluOBxrKV5U0L2uJIs7KebsigGiKksNSIGvwXYGtrS7t27YwmqCjsJDg5OREfH6/X%2Bb169SqOjo6Ympri7OzM1atX9fa/evWq7DA5ODhw48YNWVY4GUV%2Bfj5paWnUqVOHkSNHsnPnTho0aMChQ4eKlSkxMZF69eoB0LRpU8aMGcP48ePZuHEjY8aMMXgeN2/e5J133iGjyBsle3t7GjVqxMOHD6lYsSKVK1fmwoULejpqzka3bt04cuQIYWFheHp6yo5rYZycnEhMTNSruz179nD%2B/HmcnZ2Jj4/XSxCRkpIilzU1NZVy5crRuXNn5s6dyyeffMKOHTsMlqVy5cqkpqYqlnfGjBkcPny42OiQqamp3rnn5OSUeRKJXbt2cffuXdatW8eHH36odz%2BAbiSwgMTERLku1e4tNXJycsjIyKBRo0aMHz%2BePXv2YGJiwrFjx2Sd5ORkzSN5AoFAIBAIBH8FwuH6l/Dmm29y9uxZJk%2BeLDsXqampfPHFFyxduhQPDw8AOnTogLm5OStXriQ7O5urV6%2ByZcsWOQytd%2B/eHD16lCNHjpCbmyuPyBTI27dvz86dO7l9%2BzbJycmsW7dOLsPBgwfp37%2B/3KlOTEzk1q1bODs7FytvixYt2L9/P%2BfOnUOSJLy9vYmPj8fExAQbG5tioyQAVapU4dixY0yfPp2rV6%2BSn5/Pw4cP2b9/P8ePH5dDwwYOHMgnn3zClStXyMnJYdOmTbzwwgs8VHgV2LlzZy5fvszevXvp0aOHQZ0OHTpgY2PD6tWrycrK4qeffmL27NmYmZnh5%2BdHlSpVWLx4MRkZGdy%2BfZvXX3%2BdDz74QC7T2rVrycrKIicnhzNnzlCnTh2Dx2nYsCGXLl0yWlaA6tWrM3bsWN577z15W8WKFenRowcffPABN2/eJDMzk6VLlxIUFIQkSfII2O%2B//17MadXK3bt3ef/99/nf//5HixYt6NatG%2B%2B8846ezqZNm0hPT%2BfmzZuEhITQqVMnQP3eMoSlpSXXrl0jPT2dDRs28Oqrr3Lz5k0Arly5wr179/TurytXruDq6vpY5yYQCAQCgcAAIi18qREhhf8S6tevz%2B7du1m5ciWDBw8mNTUVGxsbmjZtSnBwsOxElC9fnjVr1rBo0SLatGlD5cqVCQwMlEeVvLy8mD9/PkuWLGHKlCk4OjrywQcfyBn8pk%2BfTnBwMN26dcPW1pbg4GAiIiIA6NmzJ5cuXWLYsGGkpaVRrVo1%2BvfvT5cuXYqVt2fPniQmJvLaa6%2BRlJRErVq1mDlzJteuXWPAgAFYWVkVSzlvYWHB1q1b%2Bfjjjxk5ciTJycmYmprSuHFjlixZQvv27QEYN24caWlpDB48mJycHBo3bszatWuxVkj9VLFiRdq0aUNkZKTRlOkWFhZs3LiRWbNmsW7dOmrWrMmCBQvkDv6qVauYN28e7dq1o0KFCnTu3FkOGVy2bBnvvvsun3zyCebm5ri7u8vOWFHatGnDsmXLSElJMRgaWMCwYcPYvXu3Xpa9t99%2Bm7lz59KzZ09MTU3x9PRk1apVmJiYUK1aNbp27crrr7/OwIEDeeuttwza9fHxMbi9IDzUz88PX19fAKZOnUq3bt3Yv38/9o/SfnXu3JnAwECSkpLw9/eXwx7V7i1DvPjiiyxbtoxjx47xxRdfcP36dQIDA8nMzKRmzZpMmzZNzlZ5%2BfJlkpOTad26tVF7AoFAIBAISsh/0EEqa0ykkkx4EAgEfwl9%2B/alR48evPLKK0%2B7KJo5efIkL7/8MmfPnlVMuvGkmD9/PvHx8axevbp0huLilOUWFrr81ImJqpMB9sfUU5RXqvRnkoWymMNVsSK0bQvHjqnP4Xo06G0Uc3NdEoLbt9XnT9TcslhZoXp1GD4cNm1Sn8NlJKRYxtRUd6Lp6drmp6jlzjYx0V3T7GzVOVybdyjf11WqQK9esG%2Bf%2BhyuYVYhygp2dvDss/Ddd6pzuH5xHaAot7bW5bmIjdU2P8jLW2WCk5eXLmGAt7fqHK79%2B5TrtCTPwPffK8tr14ZJk2DZMvU5XIVyPxnE3l6XE2T79rKZw1USe35%2BynJra2jSBM6dU7%2BeLVxVGoISJqGJu2N8 |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment