Анализ страницы https://turinglang.org/docs/getting-started/
Основное Готовность: 75%
Домен
turinglang.org
Состояние доменного имени
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Проверяем корректность доменного имени и наличие технических проблем на уровне домена.
Домен второго уровня идеален для продвижения.
Отличный запоминающийся домен.
Ответ сервера
200 Успешный ответ
HTTP-код ответа и цепочка редиректов
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Код 200 — страница доступна. Коды 3xx — редиректы (цепочки замедляют загрузку и размывают ссылочный вес). Коды 4xx/5xx — ошибки, поисковик не сможет проиндексировать страницу.
Сервер настроен корректно.
Безопасность
Сайт безопасен
Использование HTTPS и SSL-сертификат
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HTTPS — обязательный стандарт. Google и Яндекс отдают предпочтение защищённым сайтам. Отсутствие SSL или просроченный сертификат ведут к предупреждениям в браузере и снижению позиций.
Не настроен HSTS (Strict-Transport-Security) — рекомендуется включить.
На сайте работает защищенный протокол ssl и сайт открывается по https.
Ssl-сертификат действителен до 23.09.2026 0:21:21.
Поздравляем! Сайт не содержится в реестре РКН.
Кодировка
utf-8
Кодировка символов страницы
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Стандарт — UTF-8. Неправильная кодировка вызывает нечитаемые символы и мешает поисковику корректно распознать текст страницы.
Указана кодировка на странице utf-8.
Язык
en
Атрибут lang в HTML-теге
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Атрибут lang (<html lang="ru">) сообщает поисковикам и браузерам, на каком языке написана страница. Помогает при ранжировании в региональном поиске.
Язык документа указан явно: en.
Скорость загрузки
~0,28сек
Время отклика сервера (TTFB)
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Time To First Byte — время до получения первого байта от сервера. Норма до 200 мс. Медленный отклик ухудшает пользовательский опыт и ранжирование: Яндекс и Google учитывают скорость страниц.
Скорость загрузки сайта 0,28сек оптимальна.
Объем документа
246Кб
Размер HTML-кода страницы
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Слишком большой HTML замедляет парсинг браузером и сканирование поисковым роботом. Рекомендуется не более 200 Кб.
Объем html-документа 246Кб оптимален.
Структура html-документа корректна.
Ресурсы
Ресурсы: 23
Внешние ресурсы страницы (CSS, JS, изображения)
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Количество и тип подключённых ресурсов влияют на скорость загрузки. Большое число запросов увеличивает время рендеринга страницы.
Кол-во файлов ресурсов 23 много для одной страницы. Приемлемо до 10. Проведите оптимизацию файлов ресурсов!
Показать полный список ресурсов
| Тип | Название | Значение |
|---|---|---|
| stylesheet | ../site_libs/quarto-html/tippy.css | |
| stylesheet | ../site_libs/quarto-html/quarto-syntax-highlighting-bb62276ab45c84d9efd712f51ff97b5a.css | |
| stylesheet | ../site_libs/quarto-html/quarto-syntax-highlighting-dark-5a1953863e1f72ef3b996ef827f01ca7.css | |
| stylesheet | ../site_libs/quarto-html/quarto-syntax-highlighting-bb62276ab45c84d9efd712f51ff97b5a.css | |
| stylesheet | ../site_libs/bootstrap/bootstrap-icons.css | |
| stylesheet | ../site_libs/bootstrap/bootstrap-b7ba13e37b2849846b1f8766981aed12.min.css | |
| stylesheet | ../site_libs/bootstrap/bootstrap-dark-1218ca3a3c1e28bf36e3912f46d078af.min.css | |
| stylesheet | ../site_libs/bootstrap/bootstrap-b7ba13e37b2849846b1f8766981aed12.min.css | |
| js | https://cdn.jsdelivr.net/npm/jquery@3.5.1/dist/jquery.min.js | |
| js | ../site_libs/quarto-nav/quarto-nav.js | |
| js | ../site_libs/quarto-nav/headroom.min.js | |
| js | ../site_libs/clipboard/clipboard.min.js | |
| js | ../site_libs/quarto-search/autocomplete.umd.js | |
| js | ../site_libs/quarto-search/fuse.min.js | |
| js | ../site_libs/quarto-search/quarto-search.js | |
| js | module | ../site_libs/quarto-html/quarto.js |
| js | module | ../site_libs/quarto-html/tabsets/tabsets.js |
| js | ../site_libs/quarto-html/popper.min.js | |
| js | ../site_libs/quarto-html/tippy.umd.min.js | |
| js | ../site_libs/quarto-html/anchor.min.js | |
| js | ../site_libs/bootstrap/bootstrap.min.js | |
| js | https://cdn.jsdelivr.net/npm/requirejs@2.3.6/require.min.js | |
| js | ../site_libs/quarto-html/zenscroll-min.js |
Серверные заголовки
Кол-во: 17
HTTP-заголовки ответа сервера
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Заголовки сервера передают браузеру и поисковику служебную информацию: кеширование, безопасность (CSP, HSTS), сжатие (gzip). Правильная настройка ускоряет загрузку и повышает защищённость.
Найдены серверные заголовки 17шт. Подробнее про серверные заголовки.
Показать полный список серверных заголовков
| Ключ | Значение |
|---|---|
| Server | GitHub.com |
| Access-Control-Allow-Origin | * |
| ETag | "6a69c1b0-3d956" |
| Cache-Control | max-age=600 |
| x-proxy-cache | MISS |
| x-github-request-id | 0A88:9229B:4CA29A:530357:6A8B1597 |
| x-github-edge-region | swedencentral |
| Accept-Ranges | bytes |
| Age | 0 |
| Date | Sun, 23 Aug 2026 15:45:27 GMT |
| Via | 1.1 varnish |
| X-Served-By | cache-bma-essb1270079-BMA |
| X-Cache | MISS |
| x-cache-hits | 0 |
| x-timer | S1787499928.716810,VS0,VE125 |
| Vary | Accept-Encoding |
| x-fastly-request-id | 26be02e478fb965be20b59ead4f051c811a2fb2e |
CMS
quarto-1.10.18
Система управления сайтом (движок)
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CMS — это движок, на котором работает сайт (WordPress, 1C-Bitrix, Tilda и др.). Знание CMS помогает понять возможности SEO-оптимизации и подобрать подходящие инструменты. «Не определена» — вероятно, самописный сайт или нестандартная сборка.
В мета-теге generator указано: quarto-1.10.18.
Веб-сервер
GitHub.com
Программное обеспечение сервера
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Веб-сервер — это ПО, которое отдаёт страницы посетителям (nginx, Apache, IIS, LiteSpeed и др.). Определяется по серверным заголовкам ответа (Server, X-Powered-By и т.п.). «Не определён» — сервер намеренно скрывает эти заголовки, это нормальная практика безопасности.
В заголовке Server указано: GitHub.com.
Мета-теги Готовность: 48%
Title
Getting Started – Turing.jl
Заголовок страницы в браузере и поисковой выдаче
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Title — главный SEO-заголовок страницы. Влияет на CTR в поиске и ранжирование. Оптимальная длина: 50–70 символов. Ключевые слова — ближе к началу.
Необходимо увеличить число символов в title (текущее значение: 27, оптимально: от 40 до 45)
Дублей словоформ в title не найдено.
Description
Описание страницы в поисковой выдаче (сниппет)
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Meta Description — текст под заголовком в выдаче. Напрямую на позиции не влияет, но влияет на CTR. Оптимальная длина: 120–160 символов.
Установите мета-тег description!
Keywords
Список ключевых слов страницы (устаревший тег)
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Meta Keywords не учитывается Яндексом и Google для ранжирования с 2009–2012 годов. Заполнение не обязательно, но не вредит. Конкурент может использовать содержимое для анализа.
Установите мета-тег keywords!
Канонический Url
Указывает поисковику основную версию страницы
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Canonical (rel=canonical) предотвращает проблему дублей страниц. Должен точно совпадать с URL проверяемой страницы. Неправильный canonical может передать ссылочный вес на другую страницу.
Рекомендуем прописать канонический Url.
Robots
Ошибок нет
Директивы для поисковых роботов на уровне страницы
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Meta Robots управляет индексацией конкретной страницы: index/noindex — индексировать ли, follow/nofollow — следовать ли по ссылкам. Noindex полностью исключает страницу из поиска.
Meta-тег robots не указан. Страница свободна для индексации.
Адаптивность
width=device-width, initial-scale=1.0, user-scalable=yes
Настройка масштабирования на мобильных устройствах
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Тег viewport (<meta name="viewport">) сообщает браузеру, как масштабировать страницу на мобильных. Стандарт: width=device-width, initial-scale=1. Отсутствие — признак отсутствия мобильной версии.
Meta-тег viewport со значением-константой width=device-width задаёт ширину страницы в соответствии с размером экрана.
Meta-тег viewport со значением initial-scale=1.0 определяет масштаб 1:1, т.е. «не масштабировать».
Meta-тег viewport со значением user-scalable определяет доступность масштабирования страницы пользователем.
Разметка OpenGraph
Кол-во: 6
Мета-теги для красивых превью в соцсетях
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OpenGraph (og:title, og:description, og:image) управляет тем, как страница выглядит при репосте в социальных сетях и мессенджерах. Отсутствие OG-тегов — невзрачный превью при шеринге.
Разметка OpenGraph задана. Страница оптимизирована под социальные сети.
Показать полный список og мета-тегов
| Тип | Значение |
|---|---|
| og:title | The Turing Language |
| og:description | Turing.jl is a probabilistic programming language and Bayesian modelling framework for the Julia programming language. |
| og:image | https://turinglang.org/docs/assets/images/turing-text-logo.jpg |
| og:site_name | Turing.jl |
| og:image:alt | Turing.jl Logo |
| og:locale | en_GB |
Все мета-теги
Кол-во: 15
Полный список мета-тегов страницы
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Таблица всех meta-тегов, включая нестандартные. Позволяет найти опечатки, дубли и лишние теги.
Найдены мета-теги 15шт. Мета-теги не видимы для человека и предназначены для обмена информацией между веб-страницей и поисковыми системами, браузерами и другими веб-службами. С ними роботы 🤖 и устройства ведут себя более ожидаемо.
Показать полный список мета-тегов
| Тип | Название | Значение |
|---|---|---|
| name | generator | quarto-1.10.18 |
| name | viewport | width=device-width, initial-scale=1.0, user-scalable=yes |
| name | quarto:offset | ../ |
| name | twitter:title | Getting Started – Turing.jl |
| name | twitter:description | Turing.jl is a probabilistic programming language and Bayesian modelling framework for the Julia programming language. |
| name | twitter:image | 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t2+v1SrjZEJCApttsWzZshkzZnTv3n3NmjV33323Xq9nn7JJlDExMWx+KQCEhYUlJia67OjAgQODBw/+7rvvTpw4MXjwYJYt1BowGAwrV65cv369xVJf5639+/dfuHDB18ZU8BDpJIBC1RCuIUWoRRH/odfrN23atHz58k6dOvXo0WPLli0AkJiYGBYWxlZw3FuWLFmyYMGCbt26LViw4OGHH46MjGSfsomoERERbG4TAGi1WjZ31ZmMjIzBgwe/9dZbBoNh8ODBixYt8tox0NbBmjVrHn744ebZl9lsFkXRnTVvWC/szpV9bU9dVFZW+mvX7hMURoqiaDab61/HYDCkpKQ0jz3Nw7hx4w4dOuRvK3xFbm5uu3btHn744bvuumvAgAEmk6nW1TZs2KDVaufOndvgBk+ePDlixAh3dl3rb77jz0KRpdqS0ZuEw4V+u3t4naD4S/cugiBYLJaG1/Me8fHxDd6pgognn3zy+++/b8oW0APkT9ADhCCByfLly2+/fZvv/12w4YNbdq0+fnnn2uuYzAYFi9e/OijjzaDPS7T4AEgJYzkmPH+gSCegwLIn2AOEIIEJtu3b3fM1J0yZQqrmeTCvHnzXnrpJVZ/0qdQAImCpvrdOkUPOV7LhUCQ1kgQzAJrwaD4QZDAJC8vr23btux1YmJibm6uywqbN28uLS295557WPZVg1RWVl6+fPnxxx9nbzUazfz58x0NDZ2p2aWnQoAwNeeSfp4QwmVVUKu1hdxFfNebKGARRbHBJk5I/QiCUNe0DEJIg+0+W9cPLtDAOkAIEphoNBrH4MTzvMudtLy8/IUXXvjtt9/c36BOp4uOjr7tttscS+Li4lhbkpq7dllu5ml0CGg01aYKtw+nqQbQaFpIN4yaR93iIYQQQlrbUXsXlUrVlBOIAghBEMSVlJSUrKws9vratWuOEqyMP/8MzMz8+abbwaA0tJSWZaLiopWr15dzwY1Gk1cXBwrhVI/KpXKpSyKUaJRWsllYfsImmdxXRi81DzqFg/Lw21tR+1dOI5rygnEHCB/QgFzgBAkEJkxY8Z3330ny7LFYlm5cuXdd98NAIWFhd999x0AjBkz5tq1a0ePHj169OgjjzwyY8aMr7/+2nfGVFQvA81IxhwgBGka6AHyJzgLrFVhsVjqdxIEFwUFBf42wYc88cQTv/zyS9++fS0Wy+jRoydPngwAly9ffuaZZx566CHWV4StGRoaarPZWMklH1HOV2sFz0jWkzwL3j+QxrFu3TpHqbBgJz09vYmNsFAA+RN0/7QewsPDH3zwwR07dvjRBlEUvZhnOmLEiFp71LQM9Hr9jh07MjMzQ0JCHMUhb7rpppq1/9955x1fG1NzDjwAhKhARcAkQhjexRH3eOaZZ/bt2+dfG7x4F+rcuXMT+6Djn44/QQ9Q60GlUn3wwQf+tcFoNIaHN7kJWWuiY8eOLkv8krFRXr0PhoMUPck10e5RLSQPGvE1b7zxhr9NCKy7EOYA+ROsA4QgSIOU8xBVIwQGAMlhkGNufnMQpIWAAghBECSgKedpzSRoAEjRkxwTPkIhiIegAPInGAJDEKRBKvg6QmBhkIseIATxFBRA/gTVD4IgDVIhVGsF7yBJT/KwHRiCeAoKIH+COUAIgjSIoY4coAQdFNbeBgBBkIZBAeRPMASGIEiDVPA0srYcoHgdKcJSQAjiKSiAEARBAhqTCOG1CaCEUPQAIYjnoADyJ+gBQhCkQUwC6Gsr2RavI0UogBDEU1AA+RPMAUIQpEHMEoSpa8kBig6Bch5vIQjiISiA/AneuRAEaRCzSGv1ABGACA1U8M1uEIK0CFAA+RNKgaIKQhCkXswihNbRtShBRwoxDxpBPAIFEIIgLYfi4mJJkvxthTdh6qaudl/xoYBpQAjiGSiA/AnFhvAI4lV++umnDh06vPzyy5mZmf62xTtYRQituwFrgo4UWfEmgiCegALIn+AsMATxLlOmTLnrrrs++eSTbt26TZ06dfPmzbIs+9uoJmGWQF9bBjQjPhQKLc1pDoK0HFAA+RN0/yCId+ncufPHH39cUFDw008/mUymyZMnt2/fPqgdQiah9gxoBs6ERxCPQQHkT9ADhCC+QKfT3XPPPdu3bz916tS0adM++OCDbt26TZs2bc+ePf42rdGYRQirTwABhsAQxDNQAPkTrAOEIL6jvLz8wIEDBw4csNlsgwcPzsnJGTNmzN133x1cWdImsfYqiIwETIJGEE9BAYQgSEvj0KFDjz76aHJy8ksvvTR06NDjx48fOnTo8OHDGzZs+PXXX3fu3OnmdvLy8s6ePVuXYDIYDGfOnMnKyvKe4bVgFiGstj4YjHicBo8gnlL3kwXiezAEhiDe5eDBg08++WRqamrfvn2XLl364IMPRkZGOj696667evfunZub686mXnzxxZUrV7Zv376srGzHjh3JycnOn3755ZcLFy7s1KlTdnZ2YmLiL7/8Ehsb6+WDAQAAs1hfEnSCDj1ACOIhvvUA7d27d+LEiSkpKd26dWNLnn/++Q0bNjR2OwaDoeY9i1KalZVVUVHhBUP9BKofBPEuqamp/fv337dv35kzZ55++mln9cP49NNPx48f3+B2zpw5s2LFihMnThw8eHDs2LHvvPOOywr333/tWvX9u/fn56eHhkZ+emnn3rtGKpjFqm+7mnw8aEEZ4EhiGf4UABt37593LhxAHDnnXc6FkZERHz00UfubyQjI6Nfv369e/ceM2ZMt27dDh8+zJbn5eUNGjRo8uTJPXr0eO+997xrebOBOUAI4l1mzZr1/vvvjxo1ynmhLMtXrlwRRREAbrzxRhdfTq2sW7du0qRJzKnz4IMPrl271mUFvV7PXnAcFx4ertPpvHMANTDVGwKL0kKFQGW8jSBI4/FhCOytt956+OGHv/zyywMHDmzfvp0tHDZsWKMEUEhIyBdffDFs2DAAeO+995588snjx48DwOLFi0eMGPHhhx/m5OT069fvnnvu6dSpkw8Owreg/kEQ77JixYqDBw+uWrXKeaHJZOratevVq1fdv0tkZ2d36NCBve7QoUNBQQHP81qt1nmds2fPLly48MqVK927d3/qqafq36DNZsvPz3d2FM2YMSMmJqbmmpIkOWcdGXkaqoJ6ErdjtKTYIsWGuHNYgYvLUbcGJDv+NqRZac5DVqnq9p0CgE8F0Pnz519/XWXhXFxcSUlJbIsc5xbzqekpKSkpCT2evjw4cuWLWOv/vf/zJRlZKSctttt61du/b555/3nu0IgrQcbDYbAISENEIjSJLkuEepVCpKac2CisnJyU888URmZubixYt37949adKkejYoiqLVar18+bJjSXl5eXh4eM01BUEQBMHxtpLnQggVhDqfleJDuJxKOTLIJ7S4HHVrQBRFURQbHKRbGM12oQkh/hRAkZGRRUVFLgvPnTsXHx/vpvpx4d/vesWbMAwGKxlJSUdOzYkS3v1KnTtWvX6v+u2WzOyMhwPBeqVKopU6ao1T45fPcVLqUgybIk+ccNFBQPH0FkZLDY2Tz7IoR49mfuMb/rvZbE5LSysoKNixY4djuSzLW7du1ev1bdu2dX9rSUlJ+fn57HVeXl6bNm1qBrliYmJYlN9qtS5fvrx+ARQWFtapU6d/etfDe5aFEXnffEgR+pAp6vzZCaHi2WSRqerM1E6KHA56tYAE0Ct8KgD55B9KIAmTJiwdOnSCRMmEKL8ZWZnZy9ZsuSOO+7wYGuLFi3Kysr69ttvAYDneQBwyBeNRtNgKnRFRUVubu62bdvYW5VKNWrUqIiICA8saRCbzUYpdUfXy1TN86LN5h8BZLPZNJq6kwsCg6AwUpIknuebebz3gOY8mRqNpplPyMMPP+zwr+zdu9f5I51Ot3Tp0kbZc/vttz/yyCM2my0kJGTjxo233347W37y5Mnu3buHhYUJguA4mZcvX46Pj/fGQdSCWaQJ9YqbtqGkwELr7peKIEjt+FAALVq0aMSIEb169erdu3dxcfHUqVN37doVExOzePHixm5q6dKl69ev37lzZ1hYGABERUWFhoYWFhayKR4FBQXt27evfwuJiYk33XTTV1995dmxNApCiFardcuxSYSQkBC93j8DpyzLjkTOgCUojJQkSa1Wh4aG+tuQBgiKk+kxu3btEgRhxYoVR48eXb58uWO5Wq1OTEx0Sd9pkNGjR/fr1++WW27p3bu3c+mgkSNH7tixY9iwYQ899FB5eXn79u3T0tKuXr3qSHP0OvXXAQKAtqFQgBPBEKTx+FAAJSQkHDly5P3339+6dWubNm0yMjLmzJnz4osvNvZR6YMPPvjxxx937tzZpk0bx8Jbb711y5Ytzz77rCAIO3bs+P77771tfnNAKc6ERxDvwJ6Cnn76aaPR2KVLl6ZvcP369Xv27DEYDP/85z/j4uLYwn379vXs2RMAvv7668OHDxcWFs6ePXvYsGGNFVjuU38laABoG0ryzHgjQZBG49tCiNHR0YsWLVq0aJHHWzh69Oj8+fNvueUWxySLlStXchz3+uuvT5kyJSMj48SJE7179x45cqSXTEYQJIhJSEhISEjwyqY4jrv11ltdFg4aNIi9CA0Nvfnmm72yo/qpvxcYACSGwomSZjAEQVoagV4JumvXri6+ZZZRNGzYsKNHj+7cufOWW26ZOHGin6xrKhQbwiOIN5g0adLvv/9eXFz81VdfvfTSS7Wuc/r0acfM9iCi/krQoOQAuc5QQxCkQXwogObMmXPs2LGay3v16vXDDz+4uRHHPIuadOzY8bHHHvPcvgAAQ2AI4hUefPDBW265heO4IUOGvPrqq7WuEx0d3cxWeQWTQBsKgWEOEIJ4gg8FUI8ePZzfWiyWvXv38jw/bdo03+00uED1gyBe4b777mMvBg0a5IhStQzMUkMhMD3JNzeXNQjSgvChAKpZmdBqtU6ZMoXN5EIAm6EiiI8xGo1Hjx5t166dox1h0GFuKAk6WguVApUpcDgRHkEaQ7NOwNbpdPPnz1+6dGlz7jSQwV5gCOJd9uzZ07dvX6vVCgBlZWUDBgwYM2ZMjx493KlAGJiYhAYEEADEhJBSW7NYgyAtCD9UoCktLaU47CMI4gN27drVpUsXVmr2o48+Ki0t3bdv33/+858FCxYUFxf72zpPMIsQVm8SNChpQHhTRZDG4UMBVFlZWeYEK8T84osvDh482FEbupWDITAE8S75+fmOjqebN2+eNWvWqFGjnnnmmaioqFOnTvnVNA8xiw0kQQNAYijJxzxoBGkkPswBuvPOO/fs2eOysFevXs79kFs56AhDEO8SFhZWWloKAHl5eYcPH54/fz5bHhoaWllZ6VfTPMQmQ0hDVeWT9ZBjwm4YCNI4fCiA3nzzTUf1QgDQ6XSdOnXq3bt3a2t+Ww/oAUIQ7zJ06NAnn3xy3bp1v/32m0ajGT9+PABYrdbs7OykpCR/W9doZOqWl75LJLlSifcSBGkcPhRAt9xyi+823jLAQogI4l1mzJixYcOGGTNmqNXqZcuWRUVFAcDatWs1Gs3AgQP9bV2jaXAKGKNbJKzP8LkxCNLCCPRK0AiCIO6jVqtXrlz56aefajQaR8WNUaNGHTlyJCQkxL+2eYCpoTLQjK6R5HIFFoNGkMbhZQFUUlLSp0+f+tfp37/tm3bvLvfIAUrQSOIL3Ap+hyMHTAYFjcyoAGgawRJr8B7CYI0Di8LoNDQ0Llz59a/TjBG4n0EhsAQxOuUl5d/9913ly5dstmq1cZ55513YmNj/WWVZ5hECNM0vFq4BlQEynmI8lVPegRpgXhZAOn1+jfffNO722zBoPhBEO+Sn59/ww03FBUV9ezZ0yXm5aKHggJTQ63gHXSNJFcq6fWxOBEMQdwFc4D8CYbAEMS7fPnll7IsX7x4sXPnzv62xQuY3KiCyOgaSS5XoABCkEbgWwGUm5u7bt26y5cvWyxVVbo6dOjw2muv+XS/QQQKIH+RUUk7ReBo0dLIysq67bbbWob6AQCT4FYIDAC6RpL0Ch9bgyAtCx8KoGPHju34fvYAACAASURBVN16660ajYbjOLVaHRISkpmZGR0dPWnSJN/tNOjAHCC/8L9M+d5dUsYsTWKov01BvMr111/008/+dsKr2ESqbshsAjYk4d3EwRpBD5shbFw4cKBAwdmZWVNnz79iSeeuHr16uHDh2NiYmbOnOm7nQYXMt6v/ESOCWwSCHgBWhx/+ctftFrtokWLnL3OwYvJvTpAAHBdNDlThr9nBGkEPhRAZ86cefbZZ/V6PSGE53kAGDx48Ntvv/3KK6/4bqfBBd6u/AUrmSJi5ZQWx7fffnv06NE333wzIiKiTXWysrIatak/yzT58+MTExw4cPT09Pd/n0wIEDo0aNio6Ojo+Pf+yxx8xms/cOogqTAOHuCaABseRSOTUKvrACQVomPgyBWSyWiIgIAIiNjc3Pz2cLe/TocfHiRUop9kMFbIXhP1jkEQVQy6Nv3751VeJgtyM3kWV59uzZixcvvu+++95+++25c+e6VC+TJGnx4sUjRowwm8133nnnO++8s2TJkiaZXhsmEcI0bt0qVQRujCd/FNJxKXhrRRC38KEA6tq1K3ts6tOnzzfffFNcXBwXF7d69eq2bdui+mFQijlA/oGddRFPfovjpptuuummm5q+nUOHDtlstlmzZgHAvHnzFi9enJeX51zD7Oabb2YvoqKi7rjjjsOHDzd9pzUxiTQ2xN275egkbl++PC4Fmy0iiFv4MAQ2ZcqUrVu3AsDdd98dHR3dqVOn9u3bv/vuu3/+999t1MEcQcZPUAtnezs7H379hmNRs++fvXq1e7du7NHtYiIiMTExIyMjFrXFARh1apVEyZMqH+DlFKTyXTMCUFoOF5lEtytAwQAoxPJvnwU9QjiLj70AL388svshVarPXTo0A8/JCTkzNy5MiJEyf6bqfBBYbA/AV6gFowu3fvfvzxx69cuQIAJ0+eHDBgwPLly3/66adDhw65vxGTyeRcRzE0NLRWLUUpfeqpp5KSkh599NH6N1heXn716tUXXnjBseS9997r0aNHrbumds9wuUXDhcuVlZI7NvfSwemSkCJDpS4IfUDOR91KEEVRFEV3dHBLotkuNMdxjm6AddFMhRAjIyOfeuqp5tlXENHK/t4DCMwBaqlcunRp8uTJd9111zfffDN9+nS2cMaMGfPmzcvIyOjUqZOb22nbtm1paanjbXFxcWJiYs3V/va3v129enXTpk0c14A3PTo6um/fvrt27Wpw14SQ8PBw9ponUmwEiYhw11U/vK14pDJ8UvvgyzFwPupWAhNAOp3O34Y0KwF1oX0YAps+ffqcOXMOHDjgu10EO+gB8hfKLDA8+y2OFStW9O3b98cffxw9erRarTzgJSUlxcbGXrp0yf3tDBkyJDU11WAwAMDZs2cppcxbI8uy4/n1lVdeOXHixIYNG0JDfVVOyihAuHuVoBnTO3Frr6KuRxC38KEAGjly5MaNG0eNGjVw4MAPPvigsLDQd/sKXtAJ5BfYaZdwpGhx5OXlDRo0qKY/RqvVVlZWur+dlJSUe++9d/r06Z9/vn999/3HPPsYjYhAkTli1bBgBffvnle++9N2DAgCVLlrz88suffPKJF4/CgUmkblaCZkztxP16TUbXJoK4gw8F0HPPPZeTk7N9+/b+/fu/9tprycnJt9122+rVq1lNIASVjx/BHKCWSkpKypkzZ1wWXrp0KS8vr2vXro3a1Oeff/7II49cvXp14cKFr776Kls4f/788ePHA8CgQYM+/vjj/v37d+nSpUuXLsnJyV6x3wX3m6EyYkOgTwymQiOIW/g2B4jjuHHjxo0bN+4/nPqlWrVqxYMXPmzBEjRmBczAHeqPwCzgJrqcyaNeudd95ZuHDhSy+9xOZwpaWlPfDAAwMHDuzfv3+jNqVWqx966CGXhY45HIMGDRo0aJBXbK4Hs9uVoB1M7chtzJJvTQ7CRGgEaV586AFyJjo6etSoUaNHj46JiWkZJeo95v0z8p+FFOxRmFYSArNKcOc2t2ayNCfoAWp59O7d+/PPP3/nnXeio6OLiopuu+22nj175uXl/fjjj8FYfswoQLh7hRAdjEshu3Lxl40gDePzWWAlJSU/zzd999d+TIkYSEhEceeaTB+aItm9OlNCUMhiaQVnWLMotwtFgGCJSnUvQAtWAee+yxMWPGrFq16tKlSxqNZtCgQffff3/gTDxpFO43Q3VwXTQps0G+BbDRL4LUjw8F0I4dOz7++ONff/0VAO64447XX3994sSJGk1jMvpaItQ+7ioeIP9a01zIFKRAOlRFAFEKEHxeAaRBOnfu7KhDFtR4EAIDgDFJZHeufF/XZnLwI0iQ4kMB9PbbbxcWFi5atOjRRx9NSEjw3Y6CC4cUCCQ94HMkGlhTrpQk6EAyCWkKlZWVoijWv05UVFSD1XoCDYmCqvESfWwK2ZlL72tczjeCtDp8KIB+/vnnWkuHtXKoPfWEjcFy69BBNMASblAAtTAmT568f/++te5evWq+4UQAwGbBFqPBNutyWTRcfxxI0gD+FAANYP6MRqNOp3OUe4sKJDtvpCA8oj4GkmmARUCU+oABZJJSFNYuHBhcXExe/3VV1+dOXPmL3/5S/fu3W022+HDh3/88cdnn302Pj7ev0Y2FpMIYY2pguigfRixSLTYCnGtq8gwgjSOIJAOCxYs2LJly5UrV9avX+/owFxSUnLPPfekpaXxPP/222/9a9/9a+R9ZNtou3ClBuZwxci29+2Bqj31AYve/hY7AwFCgHmlEKawpgxY9iL3bt3nzt37sSJE46w++OPP37vvffed999r7/+uv8M9ITGVkF05vpYcqqUjk3GFDcEqZMgiIj369fvo48+io2NdW4at2TJko4dO2ZnZx86dOjFF1/Mycnxo4X1YxJh2MaqGeCUKpGXVhL8YsjeywHqvLKBVA93wF5gLZX169dPmDDBJelw7NixWq22wRhZoNGoVvAuDIojx4tb0y0GQRpPEAigmTNnDh061CXO9fPPP7Puql27dr311ltXr17tJ+saRpRBcBI7jiRoqTXVAfLiLLACixfOGVM+GAJreUiSdPnyZZeFBoOhqKgo6JqNN7YMtDPXx5ITJUF2vAjSzARBCKwmVqu1oKCgS5cu7G3Xrl0zMzPr/4rNZsvLy9u+fTt7q1KpRo0apVI1UJbmo/P0+jZwU9vGuZFlWZZl2VF1TZRAkkGWFW+DTKkggyzLoqS8dXzUzDA7m2dfokwlCpIsN9Yj72KkREGiIEqyB1Njqm+WMqu8cgZkO03flE9pTiMJIX4pPDh9+vRx48bNmzfv5ZdfTk5OppQeP378ueeei4qKGjVqVPPb0xRMIjQlBPba0UD/QSKIfwlKAcRqSWu1WvY2JCSkvLy8/q8UFxdfuHDB0bBQpVL17NkzKiqq/m8dLVBzEh0Y0bgSxhaLRRRFh7oy8USiGrPZzN4KosZqo2azaLQRAC3P82azf0okWyyWZpsVbDITAK3RZG6scHEx0iwCQIjRZNY0zXAbrwJQW2zeOfmSJPE8H/gOhua84lqt1vEX2pyMHTv2/ffff+WVV5YvXx4WFiYIAs/zKSkpGzZsiIiIaH57moJJ8DAJGgA6RZBiKzUKEN7aK68hSJ0EpQCKjo7W6XTFxcXsjlZUVJSUlFT/V1JSUsaMGfPtt982akcqtcRzJDy8cWOGSqXSarUqleqNY1KcjtzflZOp4ChEq1JLnIaEh+tMKgAQtCEhjd2+F2m28rihEgUQdfrwkMbXgnY2UrABgKAP82Q7zmi0EoCs0njn5DMBFBpaVXnXKkG2iXaLDLgU1CAtiNwo5s+fP2vWrN27d1+5ckWv1/fo0WPcuHE6XfBNiDI3vgy0AwLQvw05VUpHNNKBjSCth6AUQISQkSNH7tix469/askSbt27fr00099sSOZQqXQ8Gp1YRTgaLE8qwvnnGtCq3KAqjqCBRHzDkn/b6iqsQ4YyUvTzm1Nyx8vtUFMCBD75Dvf5QDty6efnZfXjguU1h+tjaSkpPvvv9/fVjQVYxNCYAAwMJacKkEBhCB1EgRJ0J999tmcOXPy8/M/+OCDOXPmGAwGAHj11Vdfe+21JUuW3H333UlJSY5JsN5FpmAUPB8kKcCfhVS2p9wq2wQQZQpBOwts1RXZ3PhpWLK3BJBEofr5bBT37BSPFlXpTt8JIEHGOfZIU2nKLDAAGNCGnCrFXyGC1EkQeID69+/fpk2bcePGsbchISEAMGbMmN27d2/dunX69OkzZ870UbqlRMHYBA+QTMEigUyp8wxwmVKZEgjaKUi85Il0854AqtqaB5RYgXfyIflSAFE56Jx7SIDhcSFExoBY8vF5zINGkDoJAgE0fPjwWpf36dOnT58+Pt21DGBqQtEZVvyG0moeC0pBcBqDg26QFGRPHDDsK02vu8M3LQRWLlRrxOa7OkCSHKwePiRwMIk0XOO5AOodTS4aqGfdxBCkNRAEITA/ItMmDWOy/Z+zB4hWdz8E3SjJezS0s680XRM00QNUZlM6ctgvga9OvyAHq4cPCRyMAoQ34RFVw0HHcHK5An+ICFI7KIDqQ6ZNyuRg+kmmVaIHACiA4DQGB12cRGyCABKbfLSKAPLouxSgUlDEqK+ToKWmSefmxCTCnrwgsbWVUWaDmJAmbWFALDmF5RARpA5QANWH1LQGDg4BBE4CyNEUIlgGSGcEuZqYcx9v5dwITTh1TLo5O958149W9F7la19zqoS+ecw/lagCnLS0tOnTpw8ZMuSFF16wWq0unxqNxk8++eSvf/3rI4884iMDyniICWlS+ArzoBGkHlAA1YdMPZ9wBA63B+v97vAA2b1KARUCowC55oZtseuPRlutCKAmCw6xCaG0apFHWrU1X1CPn+z7y3K2KUAuOwCAUax2Hi6W0/Q6giaVAvRf54VGbEGBLMt33HHHyJEjV61adfHixQULFrisUFJScvz48YSEhA0bNvjIBoONRjetluSgOHKkKIB+bAgSUKAAqo8mtvB0HnGrPEDVlwRICOxkCX1gd8NuACUHufHbV5Kgm3ywTekj65z34+tZYPV4gP51Wj5T6qv9eoBRoM7J4CvT6ZqrtZtuEaHM1kxW+Z2dO3cCwHPPPdelS5f/+7/+/LLL0Wxmvjr2LHjF198cd999/nOhlIbtGlaCGx4AjlWTK3o4EOQ2kABVB8ypU0ZI5WpRtXHWmoXVQEVIuElcKfgkccRqJqCQ5ChLk9DPdg9QJ6cu2o9aJ2W+IJ6PEDpFdQSSNfeKFQTphKldQlc2Zdp44HG+fPnBw4cyF736dPHbDbn5eU1sw1ND4GFqGBQHPmjsLVcNQRpFEEwDd6PSBT25MnfXyYPdvNEKTqHwGSnhdU8QF4w0wu4me0keFrC8b9XZKguOA4V0n+ekn69vXG/QMWARu8fHN86kE+ndvR9DlDds8BECpZAiiNVCtXKAYhynadFkmkwJq55hsFgCAsLc7wNDw8vLS1t3769xxssKys7fPhwTEyMY8mWLVv69u1bc02TyaR8xapV2YxNKUUGAKPi1FsyhMGNbGjY/DiOuvUg2vG3Ic1Ks11ojuP0en3966AAqg+ZgkmEtHIP7/r2qU8ATmOtI4k4oCqUSe5lO/ESAMDhIto5onEPpoVWgOp1d3hJ8Sc1iqaHwPbnV2k4H+YA1T0LTKJgCaTByFhdANXzS5CCJ7O76cTGxp46dYq9ppRWVFTExcU1ZYMxMTE33njjgQMH3Fk5PDxclIHjhOjIpvZum9iJ/u2QFB4e2vCq/qY1NKpzhqmfYOxS10QC50JjCKw+2EhQwTfp6y4BL+qIxTjNx/Y7bnuAAAC2ZjfaaubzqCaAZE/qEDZFAElOosfXrTDq8QDJFAIqJ8Mmu4TAQKrj/DaxLFZw0a9fv2PHjrHXJ0+ebNOmTWJiYnMaUC5AlNYLFQwHxZH0SurOFAcEaW2gAKoPdruv8NQF7exmcJ4Gz8Z99t8Ayalw0wPE8oQ8GL8tIoXqHhdB9iS/yvlkmkTIqWM61ZwDUpbR9SP2LcG5DpAvp8HXqhWY/y+gQmC8VC0JWkQPEAAAjBo1Kioq6pVXXvnzzz+fe+65J598UqVSAcA999yzefNmts7q1au3bdsmCMLq1at37drlXQPKbDSmaVPAGCoC8/qo3jgWUB5nBAkIUADVB7vde+4BqnUavMMnFEh3pHoyP5xh6sHa+PGbBX2cB1rP2oU6PEAP7JGWnpKWnKzd6FOlNM/surAWAdTsHiBmgy9CYN+myZ519uBdPED15AC1JgFECNm8ebPBYHjrrbcmTpzomAY/aNCghIQEAKCU7tix4+LFiw888MCOHTuOHj3qXQPKbBDdtClgDp7ry+3IoaexIBCCVAdzgOqDDVeVnjaEr+4BogAEanqAmmykx9gkcERiG5UDZG38MKiEwKrPAvPcAwRwupSGqkhdERlRBnMNkcFmMDlPZGMGnCml/dp4uVuSSGvPF2Z7tDZe+gky7MylE9rVaeeCY/Kk9lxC4zM9BNndHKBWFQIDgJSUlE8++cRl4SuvvMJeEEI+++wz3+3dwEOMN0JgABCqhg+Gc3fvkPbeoUrWY2MwBFFAD1B9yJ5GfJSvA0BthRCds4L8GAK7YbPWEYuRqresrwvFA+RBCKxWD1DjPRYO+VJspda606hFGb656PpZNQ+Q/XWumU7d7n2HTP0eIEPjfYrXTPT5P+qzk/copAiKB6jqm2Ld2WCtygPkd8pstIl9MJyZ2pH7R39u0laJDyTHM4L4FxRA9cFu9zaPBZCTm8Excsh2YeT3h2mjCDb73XBvXp3VX5zxXAB5ywNk147FVrBIdQbRRAoZdeYAUbA73iwSVPC1qKimBwsEGWQKWUZqqh4uZIdc7NpWoWGkhk4XL3nYas3VAyS76wHqs0bE0dR3NL0KogtzenH92pClp/CaIYgCCqD6kL0hgMTqtXOofZaN1FyT4Q083F9blWfRaeT7o9At/4FnAijXTLNMFLzhARLtPjlBBqtI6/IACTLUHJslJw8QuxxmkVYKrsKCAgzf2NQsZV4GicITB6RfsqrZISsCqNouWYe1+hEb6svLy57oKqhRj6AeN4/LR3kWLDHsQww8RHspBObg/WGqTy/IVyr9/eyFIIEBCiAAgLNldENmLWOpIoA8FSnsNuNaCbq6B0io1xE0a1ddU5IbgcFGfy+oZSuS05gquNfj3TMBVGxVtM73l+Vr9nlbfBOSoO2pSLVLKLacr2FkzSRoswgVgqvjRJDBInqem5VvgUIL8BLIFFLLXNUzs6G0ekOJlw5La6828COrR5ekV9A8M/AyfJDqyS/VJRu9/gpGMq06M55JWMRNvBsCY8Tr4One3PKzeNkQBAAFEONYMd2UWctdn90nag6lbsI6NriUrnH0F/s2TW5w4xsyZY/9Tw4EGUy1aQ0JiGg3y82AFJNrjRVAjmFyZXpVG6ymJEEz745Fql0+9l8nFltpTQ+QSw6QlgOLCJWCa/ITLwFtgtvvs/PylxdlmwwSBV5y9VFJFAi4Bt0qhIZLLdScpvf3PxTZtPyc/FO6LMpVNs/YKZ0ocffk8jWSoOupYAQAn56XHSZ5UMoScROvh8AYf+3J/ZwumwKpEAOC+AsUQAAAgly7m4cNOW56gF47Ku3NqzZ0VKsE7TwNngIAsC7N9QwhEgWbVEsop7EIFMy13e+cQ2CN8wA10nXjvDrvJLlEt/1Ju3KpRCHHpOgJ3v7FWg0xCVAhNBQCAwjXgFl07YQF9svtsQCySbScpzYJZApCDYkgU9BwrnvkJfjpslxab59Rkbp6qo4XU5ZMXWaDImu131KWkbqfZ+0qgOr+JbAT+PRByWzP6BKb7p9E6qCc904hRBfidDA+hfvxMkpXBEEBBCwIUrsnht0kbO55Ks6VwdmyWgSQaxK0PcTAy6Dh6tM3bJhpUADlmJQZ168ekVwMYIh1xHRcQmC+ywFy6YDhvEebBF1XNfw0+vTvUqaRDt0oldmoYyNWsXb5yIQCUzBltqoDd56URynM7saZRbBKrgfuiK95Bi9DhQA2CSRaSyqSRCFEVXVCLCKkllGBws5cWn9r2JpJ0NdMyuGX2aDIAuAkgEptjQhOCTKlTr/PevrYO/rIFlkpRQ+QjynjvR8CY8ztzX12Aa8cgqAAArhnh/hnIa3VzdOoJGij6Fpv3rkQomNAohTKBagQQJBphKZ2fbMyXQYA5qbmGxImD+5R4h1HiunVylpWYDm2TE6dKqUXDEpStkxBlOHT83JGJRVkt1qss4pIFQI8+7tbJ4UCnDdQkcLwBMJq2DiGTEGmogwWSfFeOFNkhVt/raaKBBnMIpgEyhpDMjeSpY4cIHueEAWA+3eLu3KV7Tu6z4oyUIBRicQiUb7GRp48KIHbqteZffm0nAdehnIeeJnKlNbqAQpRVenOffn05cMSk1zGehOPRApWEXqvqTotRoGy7ZTxtMgK4JRPVmarMz28Jnz1CgVS3TlAjuWFFvuvGh1APsNHITAAGJ5AbBK4HyRFkJYKCiAwilDO1z7gOVw1ALA+Q/7uUn2jikmoNg2n3D6/WnSK2gCADHC8mC4/K/MyRGhIrZ6n2XskkwhmkQLA8brvUxszZQCwSIq7gmW01FyNmcEE0Mp0+dWj8pZr1BGYW5shHy+hjfIAyRTOGWpf2yXykmOi07ZLogzxoaRHFAGn8yDIIFGllo+zxDxVSgeuE68aXfdrEcEq2b1iEgBAprH2Yd45TGYWq9xyjgNk8b5QFbFKYKt+4H87JG25JoNHHqD/OykdK6Y2CSp4yjxAInUVQBKlWo441EaZjfJ2kfTIXtcpYw5OlFCrBBUCOPf3cDQxLecVEVlqgy3XqFViv71G5ACB0/FKcp1zuxwnysAru0YPkO8os3mtEGJNHuvBfV2jUBaCtDZQAIFNArNIaxUi7I7PsmIvltdeHuZECS2zwchNorF6ROapg9KePAr2p2THR8zPcqmc8hJEaGoZQtjwnFFJ2WBfs/NoqQ0+PidLFKbvkFgUSbQnBRtry6Vln1bwFADMImzMlH/LkU8UK7ZV8FBoAUGmRRZ481i1s/BNmuzStcphbV2Bua6rBGc1Y5OUXptqAmqu2hdZ6gnTnUanveSZIdfsqmwEmZpEsEl2r5hdh9XqgRApcEQx1SaDwy0nU0jSQ6QGzBJUCJQjQGpMJcsyNhDme3SfVG4XeWuuyh+eq/oykzK8DMxUdh1dThTzAFW5anjgZcWhVWajOSZlO4/slVKdoplP7JdSSyn7aF8+/f6yvCFTdtSBNAmK7jxeQpeclG7aKEq0vhDY12mys1J3KEXH2fvxsrwjp87nAQCwSYovEGeB+Y4yG/VWK4yaPNidW31VrvV2gSCtBxRAwMtgFmvPdHYETaxOo68LC45K23PkQ4VK+MMBi2gQcH1WZoNInpkKMtQaAmNLCizKmFRTIWVU0m8vyaU2kChYJWWsBcUDVIuFbKy6ZgIAMItsdhLMPSgBwBvH5HIedubSUhtQgByn/llLT8tLTlTNWlc2ZTem1rBgOQ+ltirp8HO6XGxVysyoOVATAKc5RLwEor0v+qr0qoM02Fg+r+t+DTyloHjFHKN17TlAMmg45TzbpKpzIlPoEUW6RZFrRvpbNiUAoWoo5yl1Gtotdi9HrQe46IS8M4eyPKRzBjr/Dzm9gooyXCxXcpB5mfKSkrrODs3lQCQKWqckaANfVYbHJEK+hQLAuTK6KUsesbGqzKBZVH57ggz/+FM6Xkw3X6vS1maRsnZ1ogzlvKIm6/HNfHhWds4V4yXQqaram7D/F9aIS4KTB8hm75+KITAfUWCB6BCi9dntOV4Hd3Xk/oPz4ZHWDQog5gGqfcBzDF5GEawSdXlgmntQYrkppTaQqaJpHLCpUmqu2uQjxzbZ43utAohZYpOgxAoAwEvw1UWZtfa8WkmPFlM2uLJiehZRcbEA8wDVJtHYrs8b6M/pMpMOVgnOGygA/FEol/P0YIHMK3kzVd9adFzKNbtGQ+oXQNkmxUvB+PdZ+ayBCjIVZerwAGVUKk0ZWdCNbf+NY5JDppTxVZY4Ij6irNTOYfb/40/JsbwmogxqAgSU2eyVdoeNREFFIC4Efi+gMgWOgF5NymwATgO5w+NVqwdo8Qkp20Q3ZFKZwsfn5GwTtUpwrJg+eVA5cF4CXgabDDZJOUUunkW5ehJ0OU95ucqhxdKV7t0lWSWwSGAR4dF90iN7JbNUVcjAKIBJhDP2c8jOSRmvfFrBK/tlqvendHnBMdcjybfQCqdQKS9DlLZKU0qKvxAA4EC+q3pj2GQMgfmWS+W0e6Rvd/HmIO7Dc1JZvXMPEaRlgwJI8QDVFCI/XpadRh3q4gGySfDfK3KlACZRGbNdpvyw7ldq++P+r9fkF/6UwO4BYv6hCC2pmePMK7Eb+vZJib1987jM9MrGTPrdJdkmMQHE9sLSaOjj+6UCC63k6cmSmvEjAIA/Cun7ZxQBVGb305gEKBeg0GI/KGcBJyn/nDHZZUqBhT7/p+vIymJDLKo1bbtUaoNCixLqUnOgUxEAMPCw6IQM9hAYayxfYoPtOTI7qwb7yQSAYRtFA6+kTjM5yC6BqW4PEEtwVnOgV4NJAGt1DxBHoG0oWXVFBgBCQK9SdsciPg63DdgF0E/p8qtHlEUs1EgB9uXTPDP96FyVwUU2MmWXKrOS8jLYJOAlsEjKhXa28M1j0p48quaq6gyxH55jnUwjAADTnUxbr7kq/3pNtojUIVAqBTAKcKyYEoc/TKrSbeU8ZeefCZQ8s3JxLxiUUp8yhSIrlDulatkkiNYSiwSHi+iOHCU5jK1w905xfYacY1Ky+x3PA1ZJ2TWGwHzEpQraPcq3XUuT9WR2V+6xfdgdDGm9oAACm0TN9uf15/+U1lxVBrYH9kgFFtCpQM2BUQCbVrWQ5gAAIABJREFUDEb7c/O2HPrYPomFn0yiUrP1liTiHO9gY5KaKINEaildn1k1irBR2eEBulRe5WthksgmKYNQkZXmmJTxr9RGrSy8IioeIKsINoleKodNWbJFBKMIT/8udf+vKFT5GICFbPLM1CYr41a6vRa+WQSLWPVk7zJHHQA+vyCzPT60R9qfr3gOYkOgwAKbslylGzsElgSzN1/ONtFXjki8PQcoXgf2nVZ5gBySi52unqvFVLtvgwIUW6tW/vKizAx2HhacQzBfXpSpfYmaQJyOFFupTYIynrIygzIFDuDOjuRQIQUAFgJjTqb/nJUsInT/r2ixn4HTpXRdhlxshQK7OjRVOYeoo26hVYJynuaZ6c48km9REnpsMlQK0DWy2qw3ADhRAlcrKfuTm7JNPFlCzSLwUtVpr+BprpkahaqOGUYBiq1QYqvau1GgJlFxH354VnakQjMqBeVMCvbEL7MIn1+QDxfR/16hAFBiUyJlrx2Vbtsigt0DlF5BXz0irctQfIHsQlcK8Ng+6e2T8vgtEgBI9nmCNgke3y8BeoB8Rlo57R7p87bt796oigmB0b+Iy8/KB/JprQF0BGnBoABSkqCNAlyppLlmsI8TFABUBNqFkUgNGEWwikqKcb4FXvxTMvDUKoFNomYRymxwQxxZMljlGA9MojJwqjl7DrKg6AM2hlTylCPQJYKwge25P6Xfsu3JMfYkXHY/ulwBYM9NKbGBVWSOClpiY8vBJsHLR6RCC2g4MApgFCDTqHwKAO+ekv6dKhOAPDNYRCUT6Iw9m9uhH9i91iYr2S0OHfDVRfm5P6TrVos5ZvrkAYl98ZWBKnDyBjlg39qWTZN/FCr4qpGYJeUk6u2r2ROZBVnZCAGwyVBogUwjZedBkJU2pTZZkRGXK5TsH50aAKBnFGkXRpxztP92SDIK8MAeKVID0SEkTgdFVrBJdG8enX+Ijd+g4iBKSwQZ4nSQGAoRGvijkLLrZRIh10zNIiTryZ0dub15dM1VaharooqOrGSbpESIwK5THSPH8rNyOc/ibvT62Gqz3h7YIx0skI0iqDgAAAMP5TxYqnuADDwsO1OlKQrtqcqiXBWiMoqKEI/UEpMIR4ppiKrqJFC7tt5yjZbZoEKAYiudd0iySLD2qvzTVa7QQgFgXz5dn0F35tC0clpspVFaOFhAd+bST87LrD5nBQ8SBYsIBh6yTVApgCDDseKqM8BswxwgH3GpAnr42AMEACoCX41WvXm96molXXhC6rpKuHeXdKbJnYARJFhAAaSEwHLNdOZOaW+evC5D/v6yfKUCACBcA/3akHZhpFKAvfmUaZpv0uRTpdTAg0zBJoNJpGU86NVEy1U9yh8uApY+rCZKXT420/5gAS0wK/OeOkeQlwZwmZX0/t2SSVCETqFF0Uk2CSoEqlPBNWNV2m+JDawS8BK12UNgBr4qCbpHFLlaSVkiLfP6AMClCiiyQpQW8sz0aiWtWXSH3WVjdRCiUuy/9Vdx7oGq8NbOXJpnoWU2OGegW7NpmBpCVQB2R44zFpECwIECWuHUYVSUgZdBzUGCTrmhO09lL7XROzqQJ3pxVnsKMJNuFOCfpySwz9JiecpqDswi7RROAKBTBNwYTww8PV6sOMxYpnCWkUZqybkZ6ngdKbYqHqZKJw9QmBoA4MX+qn5tyLROyu/fKIBVoqIMhRb63S2qDmFQYqNmESwidbj9Ntq7xdmkqs4VNonuy6cOx9+xYnqyhFolSgGS9Mqvi5FaSkttYBKAA1ARqBTAIikhMOcYxM7cqrPKxArDITdFe9PTCA0AwEUDbR9WbaRk3/ktR+6zVqgUIN8CNgmMAvAy5Fi4bTm0ZxQ5b6CVAlCA7TnULEJMCHE4utixmMSqGYWpZdQs0sNFdOHxqjNgsAGgB8hnNEMOEIMATGxP3h+m2j5RnTlLMz6FTNkmPfu7hBPEkNYACiBl7ASA48U0zwwShYf2SN9ekgEgXEPWjVONTiRny2h6Bb1SSfutFffkygBwqEAZd00CHCum4WrQcOBILc2xT71Wc8pwVSFQqwS7cpXoiUkALQdaDs7crdl8TTZLimC6bo3AqiDuzqOVAgyJJ5I9J2P2bulkCd2eIz+yV7JKwFo6j91cNVeoQzgcLKAs58PRV+FYMS2y0vhQwmaN3RivDJacfdCMDwUAWHC9SkXgYAH94bJcaIHN16pGtrRyahGrIkHxoUSvBgAwijB2s8hMffmIIlYAoGaVfbMIak6p6hYbojiKWLjwSiUk60nbUFiWKi8/K7NBnbEjVznDH9jnqrQPIyYRekUTAFATCFWDWYQZO6U7t0ksledEMS2xgoYDLQdtQ4Hl+rQNBZNIDxfRUhvlCAnXAAAMiSfMGI5AbAjkmOg1+xT00YkkVA3FVjCJNNNY5d0ptSknjYW92EKr5FoSaVQiKbNBmBridQQAjALM3i3tyVNqFZ4upSoO1ASuVFCrRM0iNYu0wEnonCihnSKUa+PIzYLqcjPLSAlApBYA4HgJHRBbi6uAl6DICkeLlI2zgKlJoMeL6X1duVKbUjKKbSpOpySw97R7HYxCVU2pq5XUJCorMGyyknbtfrUhxH0oQEZl1c+g2QhVw196cudmqNUc9F8n1tofGkFaEq1dALGGTY7p7g5+y6ahaghXAwD0a0PYdJgO4SS1jO4voI6VDTyYRMiopHE60No9KH8UkX8cVjamIuSXLMUDZJWUYjzs68MTCADE6UBFoNTGRlwotcGpUgoAK9NlUYZIDQCATgXnDfSndPmCgRp4pdHVFxfkR3pwUzsqV5AjVaMXALBqfhcMlNUTSgpVDO4cQdhKTI6w2bAE4PpYwhGwSvD6UZkQ13qGAIp7ZnwKuSmBqDnQcCDKsCePyhQ2ZMhsVraltjloALD2qqwm0CaEAMDCG1RGARwlAxafkCI1oFOTyxX06zR5bDKnsh8Es+GN0+qXDyvuqI7hYJNg7nVclBbUHHl1IBcbAlcr6fESauDZ/Ckx30LZdLPEULLikjwsgXx7s9oswmtHpS8uyiqieIBYfCpCA9FaiNWRIit8kyYDwKbxag0HoSq4ZqJ78uiKS3KZTTG11AZ3dOD6xBCbBAUWZQs2uSocxugSQSQKiXoypQO5OYlU8HTlFXnMryLLIz5cRDkANQe8DMvPyttyaJkNhieQx3pwAMCO/aFuhOVLMe0y9zruwW4c+9U5zkxCqOIBulJBO4Urykzj9Nd8f1cuQUdOlSrCi6nwTDNXbKW3JBGDjQoyDGhDrplAq4JoLVwzAgC0C1O+vjNXvn93lRfQKsIGp27Bq9Jl5pFi1x3xLjlmSNQTjZ/uzXo1LBumWnWr6t1T8pAN4k/pXujHjCCBSWsXQByBOzooQ+4NceTh7lycDgAg20Qf7s4l6wEAekWTPwppTAgsG8ZB9WE+0z5PO15HNPbie2kVUGyFG+IIAKg5ZR02h+ig0zDWJ0bZb5yOXDPSfDO9aKAxIfCbvfLhxPYkUsvCPYRlZrhwR3sy0P70/+Yg1f8NUQ2OIyEqGJdC3jstp1fQ+3ZLzOXT276vaC3E6kBF4J7OHAB8NVr1+UhV+3DSJUIZfTON9PORKpcdhaohNgQAoEsk4QioCLQNJQAgUyjjocQGaeU0rVzJHApRQY8owqQb2+vuPKrmgDU2mtWVu1pJJ24VWVxMkCFSS0I4iNKCTCE6BGJ1ykCeWUkBYE8+x3xgGg6S9AQAorQQriFqDnpHkzY6AgDFViU6WSlAuzDCCg51joARbcnSG1UdwsEsQpYRtlyjHIFwDWkTAlFaAIAILYnTKet/eUG+MZ7cmkwAIFRNLKKSvFViow/tkbJN9FQpffN6bmAsKechtYw+3J3jCBwpohnGapcmOgS0HKweqxoYS/49XHWlEmQKQ+LJyETlEqgIqDkCAHvyKBM6D3TjksMAACI0MLE9ebgHx67Xt5fkJ6/j5vflksOq/erUHCTpSYSGAECGEaK1ZMXNqttSyOhEEq1V1onSQpwO+sYQdllZAtOaTO5MmSKeIjTQPYpkGqmWg0gNYT7LdmGEZRSV2uBQIY3WgpaDXtGEAuzPp4PjSJgaukUSqwSdI8gb13Pn6ygI3jI4e/bs/Pnzn3nmmcOHD9e6woEDB5566qnnn3/+0qVLXtzvpQqueeJf9TAknvxxp/q9oao1V2mXVeKSE3IJTphHWhytXQABwJB4jiMQEwIzu3DLhqnWj1M/24cjAMuGqXZNVgNA3xhSaqM3xhOmaQBgcnvlxSl7n4pEPWg4OGegfxTSvQUcgBKpcXmMY/OPGLH2WVET2hGrBDtz6W1bxKHxZEwSidSAloMX+6uYOJvWkXSJIKMTicM7Mrk9CddAuIbE2Ae8x3sSnQoO3ql+a5Dqn0NUsTpYn0l5CVbdqhoURwa0Ub4ZqSU7J6mT9GTOddyQWPmODhwAnJquTgkjzIvw3lDVpPYcAMzswi28QQUA3SLJsmGqv/TkACBJrwigh7qT2BCI1ECplZZYaWIoOV5M9+ZRAGgTAn1iyO3tOJ0K2LcAQE1Aw8GtySRSA/E6SCun+WaI0gAARGpAp4I+MaRdGInQQIKOMKHD/C7sfEVp4e3BKhZ603CgVwOrEdcnmgCATQI2d29UIll6I8fO+exu3IEp6utjiV4FRkGpB80RaBsKv96uZlZFaSAhFFQcdAgnFCBep6jA66KrQoRP91ZlGOnzf8oj25I+MUTLwTUT/fS83CkCHu3BjWhLCIBzGnKUliSEknZhBADC1XC5gkZq4Nk+3K1JVcFHJrnidLBrsvpfQ1XTOnEajoRrIEpLFg5SdYkgL/VXAcD/Z+/OA6Io/8eBv2d2gWW5D2FZQG4UAUUORc1bFFHAW6nMozKzQz+l2aeyy/KbpVmZVpqftLR+Yt6ZF954cYoiKnIIcsNyH3vO8/tjbFsREWEPln2/tDdZ4eZ98zOzrznmed5xtaEWjeY42NFuZpRQx0ffEFmXLA2BkujB7WDufXEyhie96Y9LKgFvvQYIa3cuz4Lpc9O5o52ogAetPW2NCIjBFRvc2rLcM5sT7oXD/IbiCn3Qfbpb0Mt6ktvHvZgZeQMDLCj+FzwsAAAKG8hJyZyD0Rwfa1gggs1yIH6TyDnVi3pqTfBiouLR4wY4ebmFhQUNHHixMzMzFYTJCUlTZkyZdCgQQ4ODs8880xVVZW6Fv3HPc5E125xZB7lRO0bx7kUw6mSEP8/ZUsvK+7W/duBdFcOE3dGEXpAPuigfOpJxZuXFWszmL35TPuP9UWo++DqOoBOamhomD9/tmzZ/l8/vr162fNmtXpWRnT4GNJ0RS4mIGNCTwjoGxM6D15DO+fs5qtCWwexmmWg6MpNdCOsjaG+LFcix0yIxp23GWW9KMDbKhnvehaKZExEHFULlZQL/Whwh2oXTnwTn/620xmugd1qxaOFzH1UiAAjqZAAOxMHpwRhzpS392EnFncuWcVLmbU1uGcO3XkywxmlBN1rwEAYLoHHWJPZdeRT9OZXTmMlTEMtKcya8DCCJTPizbjUuy6vDuABoAoV3pHNjPYgXK3oNaGcQJsqbwG8n0WY2UMZlzgcyHQhtoxVEaBCQCw1QamHMrDHl7pSxvT4GdNfRPO6cWDQwXM/4VxIpypbzMZUy70tYJePMrbkprlSX84kDPlpPy/KczVSjJGSC++qBjci/pPAO1qTr3ejz5YwCSUQD8bikNBb3NqmCMNAKeiuABQ8byR7W+yvAbSx4oSSYi1CSgIOPOpgXbQ35ZyM6cinKlnzyhu1pAYN5pteuxqRq3oT3+WzrDreCCCwyZP+yM4XrtJlCu18SYT5UqNFtKeFhT34XOHmRF1r5E4mFKEELbiJ9zhwZYfaE8djOBOS5C/1o9enKjgcR+Ux7rRznymUkzECgixp1alEIkCzk3mmnBAOThvX2sq1o2+VUtmnlLcbyRSBRhzoK8VZW0Md2dx2cnMjSgA8LOh5nrTm7IYtjshhwK2PszJlAqwoQJsKAAQ8qG3GaUgwCZ5zwioNWEcd/MHN+xe60e/1o/us0cuEpMRTjSXAgkDQj7Q1INqMwB4L4i2NqaczYiMAZqC94M4bCLoaEq5mD1owRNsS34fzQGA6N50dG/4KFVR1gzfDuEI+cDjQOZ0LgB4WFAAClczqkVBvCyo3HqY5UFbGJE4L8rGBEY4Ue4WHDdzigAY09DbjMqoftDfrYfZunVrTEzMsmXLACAvL2/jxo0/fST6gTffvvtf/7zn/nz5wNAamrq9u3bly9f3vXlFjSSs+X0z6O6RQLEcjOnvgnnrBrI+ekWM/6YwpgGSyO410jGOdNT3ahge1rOQGETFDWR+42w7x75IJURiUmIPRXuQI8VUkMc/71yA4CbNeTXu8yR+yS/gbiYUaOdqOe96aGObexCYgXwWldGI6RO+poAff755zRNV1RUZGZmjho1atSoUQ4ODp2b1Vxvapwz57tMZvg/Nyn62VAHIh7aMgt8HxyP0qY+KO9vSzXIwMYYPgnmsHfNKKBe9aPtTODTdCbUommuj5WHBTXSiXrpn1qQgL3km7GcuWflObONipuIyz+dd4Y4UIv60l6W1AQXmj1597Gito3gAIAdjxohoDwtKADwtaJ+eoZzvIh5058zXEAdLlCYG0FYL2qwA0X/0yRW6U1/+muGYU+u45wpAPhyEGfHXcbOBFzMqFUDaYVcVpN7HRyHKv/k5gyu8gZK1owHqznQjmLvA1oaw2t+9CzPf4/LJhwIsqO2ZzOJ0dyj98nlcur4xH832ignOtCG8bWiVody5nhSHg+36EyfynXgUaUthAJwNqNu1xIbY1D2yQKA94PoF84pJrpQkpqqV0Ltwxw5ADDIgZrvS/ezoVTnlTube7eO/HSbORDBNaJBooC1YQ8dNW1NINyBYggoGMr74bFVKABbEzg7iVvSTDbaUHYqj15Knco9XsSsuKoY5kg5mMI0d5qtceFzwcoYOBR4WVAA4GdNZU7nhuwVT7OteDm89++5TD/rf59gYM+DtwLpsmYAgNf60Yv60h+mKq5Xkx+HcXIbSLFKs+JIF6pWSp8vJfa8B42T/jug9Slw+0jOu0mKtwPpYY5UeQvY8yDWjV6drvC1pADAzZwCgFFO1MECMDf6t+oxxo1ilzvVnXYoTQEYopyhtxU1xZ1+sQ9d0UKE/AdbxokP3w7hvOlPZ9cRiQI+DgFXM2q+74M/MaZBdRuOc6Z25jAD7XrgaSolJSU2NpZ9PWzYsI8++qjVBKmpqS+/DL7eujQoVevXu36QivF8PZVZrJ5sRFxBjB68h9okZ0JvBdEvxdEFzSSJjl4WlCq2UlfawCVIbrqpJAmIhfLyH9TFHdqyVBH2tEUGmWQJiIUwLNe9L5xtJcldb+R/HWfvJOkuNdIPKmmgW6mxhwoaoKsGlLQSLg0UAD9balQe6q3OWVrAqZcsDWhLIxAooD7TSRDRIqagAHwsaTCelFhvSjlYGMdQQDy6klyJUmpImUtwOdCXytqiCMVaPOgq4SmVVVV1dbW9u3bVxsL6zZu3rw5YMAAHq+jXxXbypZ93IKtCbia/3ujv+soQvSyutLFxSU+Pn7o0KEAEBsbGxER8frrr7cz/d69ew8fPrx9+3Z1BVDcRO7Ugbcl9DZ/6JxaKYYX/t/04Nd5819vtWflDQTIZ9q57JG8k8bmnYo/xqBQm2p4xoWH+DaZCRj4OffBJac41ZGkCzlQrXr19fvHjxpUuXnvhXLLY3O/hhLlGAnVS4m5BVUuguIkE2qqtJqC0GQ4VMq/0pcPDw3/++eeAgID2pz9eRCa4PHbpYgXUSOCvQmaEE9XnaYZXkShafx3sIIQXy4nyNigA7Nix49KlS61qCNpUI4FmOXE26+SG+n+5TIQLbdfuMzJTq4itCXi01YfI0tKyvr7+cYHZPP2jNxUEZEzPvEwfPHjw8uXLZ86cCQCXL1+eNWvW/fv3VSewtbU9ffp0UFAQAPz666/bt28/ffp0OzM8c+ZMTEyMj4+PsuSHH37w9/cHgHmXjNJElAKoZjl53oO5+G7k9+vXsh/1AHUyKqmKEkmAx4FAa+Jl0cYZ505pbdQr767asBUABKbga8m4mxGagiY5daOWulZNFTdDnYwSK6hqCZEwFAFw4YO/FeNmTmgKsuvpq1XUjVq6RkLs/9mNLY2B8/CPQMr8O5yEjFC1UtLbDIJsSLAt42pGGmWQVUcli+ibtRRFgQUXAIBDP7jXrAlVVVVisdjFxUVTC+iWcnNzHR0dzc3NHzdBnfTfbklVEjDjggsf7EwITUGtFAqb6HoZsTWhOPCgVcNIR+a7sDY64NA0zefzHy1XpZc1QBKJpKSkxNf3wWWpr69vfn5++38il8tFIlFqair7lsPhDBgwgKI6f8J2NqOczdoo78UDx8Y8ijg/+hF7kd3O2aL91Iel/PPB/9zHWerf0dry94L+nZIQ8lS5L5cG7iPLsTEBGxMKAGxNHnTyUhcnPrzSl4YOx9lO9gMAPA448eHlvk99W+HRb4RNH1WzHzbIDs5QucU6Z47Xk1dB2VLtUQzz2I7Nnch+AIBDAacnZj8AYGlp2dz84OHAjY2N1tbWTztBK7a2tn379t29ezf71sjIyMXFhT0EbRsF1RJiaUTZmgBNQbhcbGpq2s4ZQr+YA0y1ecI0va1bTPMSXx9g+ujfOlrDOPeOLot9+LHqo+7axOMAn9teRUKzHBpk/z6AT0P++ONsdmH2RwtaVy72bAt+X7t48eLBgwe3PxmXAgsjysKojfMOQ6BOCs1ywg7zZs/rfI2dXiZAzc3NhBBlHZqpqWlZWVn7f1JSUpKSkrJixQr2LU3T/vf/2xsnvS77BSZTCYWixsaGjQxc3VpampSKBTdPEgAYBimqampm8cpFotlMlk3D5KltSCNjY1NTDqVVXUPXl5et27dYl/funXLy8urzQnYSug2J3iUiYmJp6fno+XWxmBt3APbUWmfCQdMOGDP6+rG5HPZ2m7Nfin2pKFcWu2p9QGfdMu0sUxoJOnKWrOdlrpyJamklwmQtbW1iYmJSCRiL5KqqqoEAkH7f9K7d+8JEyao8RZYO4yMjHg8noWFhRaW1WlmZmYcDqebBwkANE2bmZl18zh5PJ6RkVE3D5KlF0F2B/Pnz582bdpLL71kZma2efPmL774AgBqamqWLl36448/8vn8BQsWfPXVVzExMRUVFbt37z516pSuQ0YIPR29TIAoiho0aNC5c+deeOEFQsj58+e/+uqr9v+kqKjoyJEjoaGhWgivsLDw9OnT3333nRaW1WlisbigoEA7G6Qr7ty5ExcX1/EWczpRXV3d1NSkvMHabUkkEq1947a2tidOnNDOsjQhPDz8ww8/jIqKUigUL7300pQpUwBALpfn5OSwdxKfe+657OzssLAwHo+3bt26wMDA9mfY0NBw/fr1jmz/O3fuPPvss918n1cvhUJRVlbW/Q9H6sW2Aep4Q8yeIScn55VXXtHCHV4ul3vy5Mn2L/n0tRH0kSNHXnrppVWrViUlJd24cSM5OZmm22seIZfLb926ZWbWVrMddWtubjYxMeF0+8YRDQ0N3b8+QC+CVCgUEonkiQ3udE6bG9PU1NTJyUk7y9IXmZmZHdlJ9GKfVzsDXGu5XC6TyUxNW7d86tkaGxvNzMy60gC3g7hcbu/evdufRl8TIAC4dOnS33/bW9vv3DhQktLXY+cihBCCCH9occJEEIIIYRQ53Sj8UYRQgghhLQDEyCEEEIIGRxMgBBCCCFkcDABQgghhJDB4Xz88ce6jkFfMQyTkpJy+/Zt1WEPW1paEhMTq6qqhEKhsqcfwzBJSUm5ublOTk5crlbHXmppaUlKSiooKLC1tVUdmffGjRuZmZm2traqw43cv38/OTmZw+E8cVx/tZBIJIWFhcbGxsbG/w5K39zcfOHCBZFI5OTkpLoBr1y5kp+f7+TkpDq+wM2bN69fv25jY6PRrqRFRUVNTU2qfXQrKytTUlIqKiocHBxU47l3715KSoqxsbFqt8Ta2trExMTm5uZOP6+3I+rr64uLi83NzVuNv0AIyc/Pp2la+UWLxeLExMSKiopWWzg5Ofnu3bsCgUDLuyhSVVNTc/HiRU3vLd1Bc3Pz/fv32UFElYX19fWJiYn19fVPHNtWHzU2NiYnJxcWFtra2qoe9EQi0aVLlyQSSa9evXQYnobcvXs3PT390aNlVlZWRkaGtbW1LgcCIKhTKisrw8LCgoKCpk6d6u3tzRbev3/f3d09JiYmJCQkNjZWoVAQQmQyWURExODBgydNmuTr61teXq61IO/evevq6jplypSZM2cKBIK0tDS2fOnSpb6+vjNnznRyckpPT2cL/jjDycnp7i4OKFQuH37dk3H9txzz/H5fBMTk/j4eGVhfn6+q6vr1KlTg4KCZs2axRZKJJKRI0cOHTo0MjKyX79+IpGILX/nnXe8vb1nzZolEAiSkpI0EeSRI0dsbW3Nzc3Hjh2rLPzhhx8EAsGkSZOGDBni4+NTWFjIlm/btk0oFMbFxTk5Oe3evZstTE1NFQgEs2bN8vX1feuttzQRJCGkf/+5ubmFEVlZ2e3+mjLli0cDmf9+vXs25KSEi8vr8mTJ4eFhUVFRcnlckKIXC6PiooKDQ2Njo728vIqLS3VUJyofcnJyeze4uPjs2LFCl2Ho0FRUVF8Pt/IyCghIUFZePPmTaFQOGPGjH79+i1atEiH4WnC2bNne/XqFRERMX78eAcHh8TERLb8woULjo6Os2fP9vDw+Pjjj3UbpNpt3bo1KCho+vTpw4YNc3d3z8vLY8s/+OADT0/P2bNnCwSCixcv6io8TIA66ZVXXlmyZAnDMIQQ9l9CyLJly5YsWUIIkUgkfn5+x44dI4Ts3bs3KChIJpMRQubPn/+++9rLch33nlDyxY/AAAgAElEQVRnwYIFrV5nZ2fb2NiwacTXX38dHR1NCJHJZC4uLufOnSOEJCUlOTg4SCQSjcaWnZ0tFovDw8NVE6DFixezWUJLS4uXl9fZs2cJIbt27Ro8eDB7qp4zZ87q1asJIfn5+VZWVhUVFYSQTZs2jR8/XhNBVlRUlJWVbd++XTUBysvLE4vF7Ou4uLhly5YRQsRica9evVJSUgghZ8+e7d27NxvwpEmTNmzYQAgRiUS2trY5OTmaiDMrK0sul5uamrZKgIqLi8PCwiZNmqRMgN55552XXnqJECKVSvv373/o0CFCyOHDh/39/aVSKSFk0aJFPfvU251FRkZ+9913hJCqqipra2vl2aLnuX37tlQq7dOnj2oCNGvWLPbXXVdX5+jomJGRobsA1a+0tLSmpoZ9/cUXX4wePZp9PXz48G3bthFCSkpKLCwsSkpKdBaiBihPjoSQuLi4lStXEkKKioosLCzYC62tW7eOGjVKV+FhG6DOkMlkv/zyy9KlSxMSEs6fP698yPaRI0dmzJgBAMbGxtHR0UeOHAGAv/76a8qUKexthenTp/1119ai9Pe3l758MvGxka2fvXIkSOjR4+2tbVl4zl69KhCocjIyJBKpcOHDweAsLAwPp+fnJys0dh8fHwefVimcgPyeLxJkyYpN+DUqVPZulPlBjx69OgzzzzDrtH06dMTEhIkEonag+zVq5ejo2OrQg8PD2XkTk5O7HKvXr1qbm4eEhICACNGjBCLxTdu3JDL5ceOHWPXyNbWdtSoUX/bfagwQAPz+/Nkcef/nll9esWaNaw6zcwkZGRjExMcotHBsby96J0PIuipSkUumJEyfYb8fOzm7kyJFHjx7VdVCa0qdPH9U7XyzlzmlpaTl+/Hh25+wxBAKBsmmBQCCQSqUAUFdXd+HCBXatnZycBg0apNcPkHmU8iY7IaSxsZG9sXvs2LHw8HD2Luf06dPPnTvX2Niok/AwAeoM9q7HwoUL9+3bt2rVqlGjRrF7c0lJiVAoZKdxdnYuKSl5XKF2vPnmmxwOJzg4ODw8PC8vb9WqVWw8zs7O7ARCoVChUFRUVLBBKndWoVBYXFystThZDMOUlZV1cAOqrgV7a7m0tFTLARcWFv72228vvvhiqyApinJyciouLi4vL2cYRtmaQSgUavPb3759u7Oz87hx41QLi4uLu9UuipTKysooilIm3FreW3Surq6uqanJEPbDpqamtWvXLlmyBABKSkrMzc2VTQZ1cuDVtKysrDFjxnh4ePB4vDfeeAMePnrb2NjweDxdfdeYAHUGwzAymeyNN9744Ycfzp4929DQsGfPHgCgqH9H1mYYhs0n2izUjkOHDt24cePzzz/PPPKysrd+3a1Soe9gVFUaqFbLk242S1CqP9DajzgMvLyyMjIz/99FO21qfNeFqFpM0gS0tLv/rqq7Vr17Yq7267KFJivwXV36ZBfRHsyvb41ZdIJNOnTx89evSzzz4L3eA4pgWenp5btmz58ccfMzMzf/vtN+hOa40JUGewlSUDBgwAAIqi+vfvn5+fDw/n78qramdnZ9VCZearBZs3b16+fPnEiRPHjh37ySefbNy4sVU8xcXFXC63V69e7OWmcqcsLi7WZpwsiqIEAkEHN6BqYVlZmWpFixZUVVVFREQsWrRo8eLFbInqV08IYeNkq6aUFzeqtS+aduDAATbI0NDQU6dObdiwge3v2WpjPrqFdfLVIwAQCAQURZWVlbFvtbm3dAeWlpbm5uaq+2HPW32pVDpz5kxnZ2f2UAwAQqGwubm5traWfdsjf308Hs/b2zsyMnLlypU7duyAhw84IpFIIpHo6rvGBKgzzMzMIiIiLl26BAAymSw5Odnf3x8AYmJidu/eDQBisfjgwYMxMTEAEB0dvX/fvYe2e7du9lC7bC3t8/JyWFf5+Tk2NvbA8CkSZPOnDlTWVkJAPHx8ZMnT+ZwOAMGDODz+adPnwaAy5cvy2SysLAwrcWppNyAzc3Nhw8fVm7Affv2yeVyANi9e3d0dDQAREVFJSYmsmeL+Pj4yMjIR1sUaUhtbW1kZCTb/FlZOHjwYLFYfOXKFQA4deqUhYVFYGAgl8uNiopi16iysvLcuXOTJ0/WTpDPPffc5cuX4+Pj4+Pjw8PD582b99prr4HKFpZKpQcOHFBu4YMHD7KNmeLj47W5iyIlIyOjyMhI9tupqKi4cOHCpEmTdB2UVil3zpqamuPHj/ew/VAmk82ePdvU1HTLli00/eDMa2lpOXLkSHati4qKUlJSIiMjdRqmmilzOwC4evWqm5sbAERGRl69epXNgeLj48eOHWtmZqab+LTR0ronSktLc3FxmTp1akBAQFxcHNvjvaSkxNfXNyIiIiAgYPbs2WwDeLlcHhMTM2DAgDFjxgQEBFRVVWktyIyMDBcXl/Hjx0+ePFkgEFy4cIEtf/fdd93d3SdPnuzi4nLjxg22cO/evQKBYMqUKQKB4Pfff9d0bOzNIzMzM09Pz5CQELbDS2Fhoaen54QJE/z8/F544QV2SqlUOmHChODg4FGjRg0cOFDZk+LDDz90c3OLjo52dnZW9vBXr5s3b4aEhLi7u1tYWISEhHz11VeEkJUrV5qYmIT84/XXX2cn3rlzp3ID7t+/ny3MyMhwdnaOjo52d3fXXAfA559/PiQkhKbpgICAwYMHt/p0xowZyl5g5eXlfn5+Y8eO7d+/7Rp09j9VqFQTJs2LTAwcNy4cX5+ftocqQGpSk9PZ/cWNze3VatW6TocDVq+fHlISAiPx/P19Q0JCamsrCSE3L5929XVddKkSV5eXkuXLtV1jGr2+++/A0BQUBB73JgwYQJbfuXKFScnp5iYGFdX1y+++EK3QardggULgoKCJk+e7O/vP2DAgIKCArb8s88+c3V1jYmJEQqFGhrEpCPwafCd19zcnJaWJhQKPT09lYUymSw1NdXS0rJfv36qE9+4caO5uTkkJETLo8yJxeKsrCyGYfz8/FSz7Pz8/KKiopCQED6fryysrKy8fft2nz59tDAIW2VlpbKHGgC4uLiwI4NJpdLU1FQbG5u+ffsqPyWEXL9+XSKRhISEqHZ3KigoKCwsDA4O1tAFhEQiUW2TaGVlZWdnJxKJ6urqlIWmpqZOTk7s6/Ly8uzsbD8/P7ayjdXU1JSWlubq6uru7q6JIAGguLhY2QmOoigPDw/VT8vLy3k8npWVFftWLpenpKSYm5sHBASoTpaZmdnY2BgaGooDIeqQFvaW7qC8vLypqUn51s3Njf1dt7S0sENneXt76y46jWhsbKyoqFC+5XA4bHUIADQ0NFy7ds3d3d3V1VVH0WlQdnZ2eXm5o6Ojj4+PalufwsLCgoKCoKAg1TFmtQwTIIQQQggZHGwDhBBCCCGDgwkQQgghhAwOJkAIIYQQMjiYACGEEELI4GAChBBCCCGDgwkQQgghhAwOJkAIIYQQMjiYAPVkf/7557x583S19Dt37kydOrWgoEBXAXTRyZMnZ82ahQNlIWTIXn75ZXYQZ9TzYALUk92+ffvIkSPs6/z8/NDQ0NTUVA0t69ChQ6Ghoewjz1gikejAgQOqgybrl9zc3D179mAChJAhO3bs2M2bN3UdBdIITIB6sv/85z+3bt1iX4vF4tTUVNWnT6hXVVVVamqqaroQFhZWVlbW6pEgCCGEUHeAD/3pyfLy8m7dujVr1qyqqqr4+HgA+Ouvv7KzswFg9uzZ7MOhioqK9uzZU1paam9vP3v2bOXjaTIzM69cufLiiy8eOHAgKSlp6NCh0dHRFRUVx48fZ58w7+/vHx0dbWpqCgBZWVnnzp0DgG3btnG5XB6P98ILL9TW1rKPdLa2tlbGs2fPHpFIJBQKn332WeUTx+7evXvmzJkFCxacOnXq/PnzdnZ2M2fO7N27d5srde3atWvXrr3wwgv79u1LSUlhZ6V89tapU6eam5vZJ8azdu3a5evryz7c/vTp042NjWPHjt25c2deXh77IFsul5uRkXHgwAEulztt2jQ/Pz/VxTEMs3fv3tTUVFtb27lz5yof+6Vc3NmzZyUSSXBw8IwZM5RP0YqPj3d1dfXw8Pjjjz/KyspWrFih+nQwhJA2nTx5sr6+fvr06coSQsgvv/wSGBgYFhamUCguX758+fLlqqoqV1fXMWPGPO6y7cSJE3K5PCoqSlny66+/BgYGDhw4kH0rk8n279+flpbG4XBGjx49btw4ja4X6ipdPYUVacHq1avt7OwIIXfv3h0yZAgAhISEjBs3bty4cffv3yeE7N+/39TU1M/Pb/bs2f7+/nw+/9SpU+zffvPNN0ZGRnFxce7u7lFRUZ9/jkhxMfHp3/jNnzoyJiTEzM+vfv399fT0h5NChQ+whY8yYMePGjZs2bRoh5OLFiwCQkZHBznDv3r3Gxsa+vr4zZsxwcXGxtra+cuUK+9Gvv/4KAC+99JKXl1dsbKyzs7O1tfXdu3fbXKk1a9ZYWVnNnDnT398/NjbWzs7O2dlZJBKxn8bFxY0cOVJ1ehcXlw8++IB9/dxzzw0YMGDgwIHPPPPM+PHjORzOvHnzdu3axT6N2cvLy8zMTBnwDz/8AADslpkzZ46zs7OdnV1mZib7qUwmmzZtmpGR0fjx46dNm2ZpaTls2LDm5mb20z59+kRFRQkEgqFDh44ePTo7O7uLXyVCqNM2bdrE5XJLS0uVJezRiT3cbdu2zcbGZsKECXFxcQEBARwO57ffflNO6eLi8t5777Gvp06dqnyKO8vOzu6zzz5jX1dUVAQFBVlZWU2ZMmXixIlcLnfRokUaXzfUBZgA9WTKBIgQkpWVBQBnzpxRflpaWmpmZvbaa68pFApCiFwuj4uL6927t0wmI4R88803ADBnzhz2LSs/P1/1tbW19fr169m327ZtAwCxWKycQDUBqq2ttbS0jIqKkkgk7NsBAwb4+vqyi2YToBkzZkilUkJIdXW1vb39G2+80eZKrVmzBgDefPNNhmHYMExMTNauXct++sQECAB+/vln9u26desoigoKCmLzp+bmZjc3twULFrCfsglQdHQ0uwVEIpGvr69y5mvXrjU1NU1OTmbf5uXlWVparl69mn3bp08fmqYTEhIe99UghLSmtrbW1NRUebAihCxatMjNzY09/pSWliovXRiGWbJkSa9evdiPyNMkQDNnznR3d1emWUePHqUo6tixY5pcM9Ql2AbIcMXHx4vF4s8/5ymaQDgcDhvv/12YWEhe4eL9fHHHytv6wCAu7u7VCrNz89PTU0ViUT+/v7Xrl3ryLIuXLhQX1/8ccfGxsbA4CVldXKlSuzs7Pv3LmjnOaDDz4wMjICABsbm9GjR7MZ2+N89NFHFEWxIQUHB7c/sSpnZ+eFCxeyrydOnEgImT9/vq2tLQCYmpqOGjVK2WqK9f7777NbwNbW9o033jh37hzbrPt/vfzJkzQ0ND2ck8PDxmzJhx5swZ5R+OGTNm7NixHYwKIaQ5VlZWMTExv/zyC/tWLBbHx8fPnz+fPfQJBAJTU9Oqqqrr16+npaUFBwdXVlaWlJQ81SLq6ur27dv31ltvCQQCtiQyMjIwMPDUqVPqXRekRtgGyHCxyUdwcLCyRC6XA0BeXl7fvn0BgKZpLy8v1T/ZvHnzRx991NTUZGNjw+PxKioqeDxeR5aVm5sLAP7+/sqSgIAAAMjJyVG2uXF3d1d+amNjk5eX97i5WVpasikLy9raura2tiNhAEDv3r3ZzAkA2FZQqo2NrKysWs1KtUkQe5svNzc3KCgoJyenoqJCdftUV1ezM2T5+Ph0MCSEkKbNmzcvKioqPT194MCB+/btq6urmzt3LvtRQUHBwoULz5w5Y2NjY21tzXZlLSkpcXFx6fj8c3JyFArFmjVr2LpzVmlpKR4HujNMgAwXTdPm5uZs42hVypM6h8NRrf65evXq66+/vnHjxpdffpmtyJk0aZJYLO7IstjpZTKZskQikQCAav7EXo11MPJ2PiUPd1xX7Znf5t+qlihzI6V2Yp4+ffrixYtVJ2ZrsFgmJibtBIkQ0qYJEya4urru2LFj4MCBO3bsGDFihPJA99JLL9XV1eXn57NdQBITE4cPH84wTJvzedzhhT10rFixYuTIkaoTKLuAoG4IEyBDwaYgbB0Pa8CAAd9/72pqWkHe6pfvXrVxMRkyZIl7E9dKpWmp6crK0iU82/zxO/r6wsASUlJERERyrmBBqpJHBwc0tLSlG/Ly8srKyu7MsOUlJQJEyawr1NTU7lcrru7O03T/fv3z8nJCQkJ6VK4CCGtoGn6ueee27p169KlS0+dOvXzzz8rP7p8+fKnn36q7ACblJT0uJk4ODhcuXJF+bagoEA5sEifPn1MTExKSkrwmKBHsA2QoXB2djY2Nj516lRLSwtbMmfOHBcXl3nz5ilvNtXV1f3000+Pm4NQKBSLxadPnwYAuVy+fPny8vJy5aceHh4AcPz4cdUqE6Xhw4e7u7uvXLmyoqICAO7cufN/d/o0aNUr3tpRZhYWF37tw5evQoADQ2Nr766qsdr1hq0wcffFBVVQUAmZmZ33333YwZM/h8PgCsWLHi7Nmzq1evVq5vRkbGsWPHurwGCCGNmDdvnkgkmjt3rqmp6YwZM5TlQqHw5MmTbF1OWlral19++bg5hIWFXb9+nT0G1tXVLVmyRHl4MTMzW7JkycaNG/fs2cOWMAxz6tQp1esx1N1gAmQoeDzeZ599tmHDBj6fT1FUdna2ubn58ePHJRKJj4+Ph4eHq6urra3tunXrHjeHKVOmREREjB8/3s/Pz97e/vbt25MnT1Z+OnTo0Dlz5syYMcPY2PjRMW+MjY337dtXXV3t4uLi5eXVr1+/Xr16sZ2/1Gv27Nnjx4+PiopydXW1s7Pz9/dvNXLP05o2bZqrq6uvr29QUJCrq+t3333HlsfFxa1fv37t2rXW1tZ9+/a1trYODQ29ceOGOlYCIaR+ffv2DQ8Pv3jx4owZM8zNzZXl69atO3/+vFAo9PX1HTNmzNKlSx83h7lz544YMWLcuHEuLi4ODg5Dhw61sbFRfvrFF18sWLAgLi7O1ta2b9++ZmZmsbGx7CUf6p4ogiP991zV1dU1NTWqDXWlUmlZWZlcLnd1dWUbrDAMk5qampuba2Zm5unpqWynXFdXV11dzdbrKBFCLl++fP/+fQ8Pj7CwsMrKSoVCoZphNDc3l5WVcTgcNzc3sVhcUFDg7u6uvCkmkUgSExMrKytdXFyGDh2qvHhqbGysqKhgby2xJVVVVRKJxNnZ+dGVqq2tra2tVa06KisrAwBl5wuGYa5evVpYWBgUFNSnT5/CwkJzc3O20XRFRYVcLhcKheyUcrm8sLBQIBCwlToAIBKJmpubXV1dAaC+vr6qqsrT0zMnJyc1NdXe3n7kyJGqjaLYYC5dulRfX+/g4BAUFKRsmn3/n0+n29nZ9eRrwkhpB0ikaiurs7e3t7S0lK1vLS09MqVKxwO55lnnjE3Ny8qKnJ2dmYPXOwIF8qLOoVCceXKlaKiouDgYB8fn4KCAisrK9WGPiUlJUlJSezhKyQkhB0qFnVPmAAhhBBCyODgLTCEEEIIGRxMgBBCCCFkcDABQgghhJDBwQQIIYQQQgYHEyCEEEIIGRxMgBBCCCFkcDABQgghhJDBwQQIIYQQQgYHEyCEEEIIGRxMgBBCCCFkcDABQgghhJDBwQQIIYQQQgYHEyCEEEIIGRxMgBBCCCFkcDABQgghhJDBwQQIIYQQQgYHEyCEEEIIGRxMgBBCCCFkcDABQgghhJDBwQQIIYQQQgYHEyCEEEIIGRxMgBBCCCFkcDABQgghhJDBwQQIIYQQQgYHEyCEEEIIGRxMgBBCCCFkcDABQgghhJDBwQQIIYQQQgYHEyCEEEIIGRxMgBBCCCFkcDABQgghhJDBwQQIIYQQQgYHEyCEEEIIGRxMgBBCCCFkcDABQgghhJDB4eo6AIQAABoaGjZv3uzj4xMTE7N169YTJ05IpdLw8PClS5daWlrK5fJff/316NGj9fX1wcHBy5cvt7Oz03XICKEeZd26dTY2NgsXLty9e/e+ffsaGhoCAwPfeustgUAAAPv37/zzz8rKir69u27fPlyNzc3XceLuooihOg6BoSgqKjI1dV10qRJEonk3Llz3t7eJSUldXV1gwYNOnv27PTp00+ePOnt7V1eXl5TU9OvX7+UlBRTU1NdR40Q6jl4PJ6Pj8/gwYN/+eUXb2/vmpqayspKDw+P5OTkDz74YMuWLZ6eno2NjWVlZY6Ojunp6U5OTroOGXUJ3gJD3cixY8cYhikuLs7KyiotLZ0wYUJSUtKIESPq6+sLCwtv3bpVVlY2derUrKys7du36zpYhFBPc+vWratXr2ZnZ9+5c6esrOyll17Kz8+PjIw8c+bMzZs37969W1JSsmzZsvLy8nXr1uk6WNRVWAOEugW2BsjU1DQnJ0coFLKF58+fHzlypJGR0Z07dzw8PNjC9PT04ODgefPmYQ6EEFIjHo8nkUiSk5NDQ0PZkpKSEmdnZwA4c+bMqFGj2MLa2lo7O7shQ4YkJibqKlSkFtgGCHUjgYGByuwHALy9vdl/ldmPsrCwsFD74SGEejZbW1tl9gMAQqGQz+czDDNixAhlobW1tb29PR6CegBMgFA30uqeOp/Pf1xhc3OzNgNDCBmCR5v18Pl8MzMzmqZbFTY0NGgxLqQR2AYIdSMURXWwECGE1A4PQQYFEyCEEEIIGRxMgBBCCCFkcDABQgghhJDBwQQIIYQQQgYHe4GhbsHOzi4+Pp4dckPJzMwsPj7ewcFBtZCm6fj4eFtbW+0GiBDq4Xbt2mVhYdGqcNu2bVxu6xPlpk2bZDKZtuJCmoIDISKEEELI4OAtMIQQQggZHEyAEEIIIWRwMAFCCCGEkMHBBAghhBBCBgcTIIQQQggZHEyAEEIIIWRwMAFCCCGEkMHBBAghhBBCBgcTIIQQQggZHENJgC5durR69WrtLEsmkzEMo51ldYVEItF1CE+mF0EyDKMX4+Lrxcbsqe7fv/KK69odBH6+/3qaeRSqVRPH6WgpxtcoVAoFAo1ztBQEqDS0tLc3FztLEsul+vFr0Ivztl6ESQhRC6X6zqKJ9OLjdlTVVdX37x5U6OL0N/vV08j15dD/aP0dINjAoQQQggh1FWYACGEEELI4HB1HYDhYgjMPKXYO46j60CQlhQXF+v21ntzczOfz1fX3Giadnd3V9fcEOoKAvDbXebHW0ygLbWiP+1tSek6ou6ooqKisbER1H0o0Br2zp2RkZGyxM3NjcPp/DkUEyCdkRM4XsQAYAJkEJqamry8vAICAnQYAyGEotR2Yrh79+7p06dDQkLUNUOEOm35VUVSJfm/ME6aiEQcVSRM5HhhDvSIgQMHOjo60jSt3kOBrhQWFn7/fezZs3q9BwwAdIZQkCszuZcqFuTy+X29vYpKSm6DkRtIiIi9LQpZcddvny5tLR06NChAoGg1UeNjY137txRvvX39+fxeNqNDj1wopj8VUhSp3DNjWCkE+VkCjEnFOnTuMbYxONhMpns4sWLpqamug5EPV599VWpVNqVOWACpEsKAnIGuPgrRaj7eeWVVy5fvhwWFvbqq68ePHgwPDxc9dO0tLSYmJiwsDD27bZt23r37q2LMA2djIHFiYo/RnPM/7kxMseLPnKfrLvOvBeEx1bUHkyAdIbtPSnBBAih7uf27dt/vlnXl6elZXVDz/88NFHHx0/frzVNH379j158qROwkNKf+Qy/W2pwQ4P3dBZN5gTvF/+gg/lYqb3N3qQ5uC5V2fY8SMkeBcMoe7n+PHjo0ePtrKyAoApU6YkJCQ8er+vrq5ux44df/9d3Nzsy5iREAAvrrOvNO/9YnM0RQW9aXX39CDAWmRDmENkM6wNUBiBQHAaxSEupfS0lJlux9HR0eKosrLy11cXJQTGBsbe3l5paWlZWZmLlmy5Pz58+3fAmtqarp3797y5cuVJa+++qqzs7MaYxaLxVyuXh7SOx15QillbUQFW8nF4tYfLfKmBh6i3vaT25toaqxCsVgMADSN9Qg6I5PJxI9+9wAAQFGUiYlJ+3+ul7+WnuHBLTCsAUKo++FwOMoH2jAMwzBMqzN0eHj4X3/9xb5euHDhmjVrfvzxx3ZmyOVyeTyel5eXssTCwqIrPXjbjFm9M9SaTke+Kw8W+EKbf2tvCs97w4/Z1EdBXY7vMdiwMQHSIZqmH7fndKSbGyZAOoYdwRDqhoRC4fXr19nXxcXFRkZGvXr1etzEQ4YM2bNnT/szNDExEQgEr776qjqjfJiRkZHqECl6pHOR18vgVKlsy4jH/unSQDL4oHxVsJGJZtJCNmxMgHSIw+F0ZZ/Hb05nsA0QUruFCxfm5eV1ZMovv/xSWYHRPplMlp6evmPHjlOnTnUtOn0SExNz4cKF4uJiANi5c2d0dDR7oXn48OGSkhIAqKioYKeUSCR/vlncHCwDqM1THvymEgX2uLxpz9XM2pwL3rfPWwJpD2rVq26cOFCR6bcuXPnli1bOjKlQqHIysr6/fffDxw40LXoWtPvGqCWlpaqqiqBQKCP1z3sLTAp/jaR+ly+fLmhoaEjU7q7u7dTpaFq06ZN27ZtA4DAwMCxY8d2KT794erq+s477wwaNMjX1/fevXtHjx5ly998883vvvtOKBSuXbt23759vXv3vnv3bv/+/d977z3dBmyA4vOYtwKfULezpB/9aboizgsv9bXk2rVrQUEduuno5OTUwZHxDx8+/M4779jY2ADAlClTuhTfw/Q1AWIY5u23396xY4dAIBCJRFlZWXZ2droO6umwCZB+PksYdQuEkJMnT2ZmZvbq1WvSpEm2trYAoFAodu7cWVtbGxsb6+rqCgDV1dUJCQkxfYsAACAASURBVAmFhYW9e/eeOnUqe7Xg4eHB/mRu3rzJMExTU9PFixfDwsJGjBjRainLli1btmzZl19+ee3aNa2voi699957CxcuLC8v9/PzMzY2ZguvX7/OjiO3fv36t99+u6yszNnZ2dHRUaeRGqI6KaSLyGjhE9p5jHOmllyEW7XEzxr7mmjE5cuXk5OT+Xz+xIkTlY36Dx48mJeXFxkZ6efnBwBNTU0JCQk5OTm9evWaOnWqhYUFAAiFQrZnZUFBQUlJiZWV1dGjR/v06TN58uRWi5gyZcqUKVP27du3du1a9Qavr3nx1q1bk5KS8vPzs7KycnNzLS0tdR3RU2NTH6wAQp02c+bML774wtjY+Pbt22fPnmUL33333dzc3Hv37g0aNIitDdq9e3d6erq5ufnBgwcnTJhACAGAzZs3s2PY7Nmz54UXXti6dSsAPPfccwcPHtTZ+nQ/AoFgwIAByuwHACwsLJStoYVCYXBwMGY/OnHkPjPOmX7iWM8UwHxf+pdsPNBqxMqVK5csWcIwTFlZ2aFDh9jCDRs2JCYm1tfXDxs2LDc3FwBOnjx55swZPp+fnJwcFhbG9tvau3fvzp07AeDChQsLFy5cvXo1TdP/e9/v/76a63Fr681QBs2bNi0aZNEIikvL9fTAxDWABms95IVyVWd/OLHO9Mr+tMAcOLEiczMzMzMzFa9k5577rl58+YBQFJS0oULF6KiotiGt1KpdPbs2UOGDLlz507fvn1V/0QgELA3ufh8/t69e2NjYzsXG0Jac7CATHPvUKXOfB9q0EHm81Aw0tfrffXblMUcKOhkUhhgQ20I5wDA3bt3f/7559zcXGtra9UJRo8evXr1agAoKCg4cuTIm2++yVbhKBSK+vr6nJychISEVtU8hJBdu3bRNO3v7/JJ5+89dZbnV2zp6OXCZBMJsvJydm8eXNJSYlIJPLz89uzZ4/qVdqjWlpa7t27Fx8fz77lcDjR0dEaGjOD7TT7xD54bB9buYJhGN3UzbJx6mTRHadHQbYfp+qni/3o6W0PXfFkQv6DveX69evDhg17dB/u37/gymFQpFIBAAnT55cvny5kZGRjY1NRUVFUVFRqwTo0T/poHbWmqKoHvC0RdQ9yRg4XcJsHd6hpp/OZtQAO/j7PhPrhhnQAzM86HCHTv48bf8ZWyczMzMwMLBV9gNtHU+uXbu2aNEimUxmZ2d3+/Zttm+BKn9/f7YznVAorKqq6lxgnaCXCVBLS4tCofDx8dm7d69cLh82bNj/ve/xYsXt/MndXV1JSUlysHsORzOsGHDNHTjTCwWMwzzxGEtxFIKgCuRSsVi3dQC6cWwaXoRpEKhkEql7Z/vVZv79Tanept3daHW1tY1NTWPlis75VIUxd7teuWVV/bs2cM+tj0gIODRlKVzQ7AQQqRS6eNGIdPfLtmo+7tSQfxtKMsO718veNO/5ZBYN03GpFccTcHRtKvXJx05BLEvVqxY8fbbb8+ePRsApkyZoq5DUNd191NLmywtLc3MzCIiIgCAy+WOGTMmIyOj/T8RCARDhw5l6/k1jaIoY2PjJydAHACQGZvw+Hyd1QDx+XydLLrj9CJIhULB5XLbf8ay2h+cPnHixHfffffy5ctDhgyRSqUikcjJyanNKcVisVwuB4DDhw9nZWU97YJkMlljY2NLS4tUKq2pqTE1NWUfe05RFI/H6/7fDup5ThYzEc5PUZ0zxZ1eekUmknDsnjAyMHoKgwcPrq2tjY+PnzVrFsMwxcXFbK+LR0kkEoVCAQDp6eknTpyYMGHCUy2IvXfW1NQkl8tramqMjY3NzMzUsAL62wh63Lhxd+7cYV/fvn1bH5/DTFT+RehpOTs779mzZ8mSJR4eHoGBgenp6QDg6uqqvBfs4ODA9rbYsGHDjBkzfHx8/vzzz+nTp7Mpi4ODA/ugKxsbG7Z/KQCYmZkpn/+glJiYGBoa+uuvv6anp4eGhmrnKgKhdpwsJuOdn+K6kceB6N70n/nd/Wa6fuHz+YcPH964caO7u7uvry87VIRAIFBmJ8pjy2effbZq1Spvb+9Vq1bNmzePvfdiY2PDdkS1sLBwcHBg/8TY2PjRLOrevXuhoaEff/xxbW1taGjop59+qq5VeFBJrnfS0tImT548d+7csrKyS5cuXb16le0D/Dh79+49fPjw9u3btRBbS0tLR2qAqsTQa6fsVBR3zJN6cmpIY2OjuXmX78RomF4Eyd4Ca78GqK6uzt/fv6ioSGtRaVpERMTq1avDw8N1HYh+yMjIeO211xITEzW3CL34sbTpqSKvlYJvvKz0OSPO0xw4z5WSD1IVFyar86ZHc3Mzj8fTo5GgHRwcCgoK2j9S6ZFXX3112LBhzz/fKfnoDffXCvBwcFJSUl9+vSJiYm5du1a+9lPd6aX6SdCCOnI2VJmhBP9VNkPAAwXUIWNUNCIR1z0L71sA8RycXFZuHChrqPoPPaHyODvESGEOux8KRnl9NS15jQFsz2pP3LJuwOwcyJ6QF9rgHoA9t4j5j8IIdRxF8rIcEFnkpg4L/qPXGwGhP6FCZDOYA0QQgg9lUYZ5DeQAJvOJEAD7SgpAzdr8JiLHsAESGdwJGiEEHoqlyvIIAfqaRsAKc32pHbnYSUQegATIB3D3yJCCHVQYhkzXND501acF/17Ll50ogf0uBG0vnvQBgh/jAajpaVlz549uo5CbcrLy3UdAjI4ieXko+DOJ0B9rCgzLqSLyEA7A20KvW/fvvYfG6VHcnNzhw0b1pU5YAKkMwQIADCEABjoT7EHS6kitibgafHvN2tubj537tyEhAQdRiWXy9X4XJFhw4Z5eXmpa24IPRFD4JqIhNp36YA525OOz2MG2unm2Qu69frrr58/fx7UfSjQGvYZGsqBlzw8PEJDQ7syQ/3bBD0G9gLrwf7IZXytqFf6/nuk5nA433zzjQ5DAn0eKA8hALhVS9zMKX7XzlqzPanxR5n/C1NTTHrlww8/ZF/o6aFAKpUCgBprsLANkM7gozB6MIZg/z69t2PHjpEjR0ZERLBj/LepoaFh7ty5P/8szYDM1hXK8mgXl2tL/eypCyNIa0Kf58Ia4B0DU+TPRLBb1bPJSQkfPDBB3v37q2pqXn22WcvX77s6+v76GTvvvtuUlIS+8w1pGnJlSSsywkQAMz0oPfkM8H2hngXDKnCGiCdwW7wPRjBGiA998MPPyxbtmzQoEETJkyYM2dOm4+APXv27L1796ZNm6b98AxTsjpqgABghgf1Zz7+PhEmQLrDpj7YDb5HInhzU89lZWUFBQWxr4OCgm7dutVqgubm5mXLln3/fcUhZ0YtEGsgPwG0q9TQyC24mtF8bmQUY2/UUOHt8B0BmuAejBsA6TvampqlDe2LC0tq6qqWk3w3/+98UXX/Tw8Oj4DJOSkmxsbJQlx44d8/f3V0u0rKamJjXOTZs6EnmKiPaz5LQ0NapliTHO3N/vyLwCFV2ZSXNzs1wu16OnwSvp6a7yVI2gaZrm8/ntT4MJkM48qAHC02RPhG2A9J2dnV19fT37uq6uzt7eXvXTzMzMffv2bdu2LSEhIT8/v6mpKTk5OSysvZ5FNjY2gwYNSkxM1GDQAPrYtYf1xMizCplBjsTc3EQti3u+L4k9oVg7xLQrM6Fpmsfj6WMCBPq5q2AvsJ4Gz5I9EiF4c1O/BQQEpKamsq9TU1MDAwNVP2UYZsiQIT/POWLVuuXbuWlZV16NAhXYRpQK5VkyD1jV7Yx4qiKciqxQOwQcMaIJ3Bh6H2YFgDpO+WLFkSFxcXFhZWU1Pz559/JicnA8D169fZoeT69+8fHx/PTvnee+/V1tauXr1ap/H2fKlVZKm/Oq/Yp7lTe/NJv4HYhMtwYQKkMzgOUA/GEGzdpd9Gjhy5cePGDRs2GBsb79+/39PTEwDMzc0HDhzYasqwsLCWlhZdxGhApAzk1ZM+VupMVqa60y9fUKwaiLdBDBcmQDqDbYB6MIL9+/Tf9OnTp0+frlri6en57bfftpps6tSpWgzKQGVWEz9riqvWXCXEnqqTQl4DUX1kDTIo+p38ZmZmhoaG7ty5U9eBdAbWAPVgOA4QQmqULiIDu/YIsDbFulEH7uEP1XDpcQIkl8sXL14sl8v19KnUWAPUg2EbIF2pqqpSKLrUtxl1Q9dEJMhW/QnQVHf6QAHW1RouPU6A1q1bN2HChD59+ug6kC7Bs2SPRAh+s7rx+++/9+7d+9133y0oKNB1LEhtrlVrpAZomCOVU0/KsAWXodLXBOjOnTv79u1buXJlB6cnhDQ0NOT9ozscHLEXWA/GADDYCloXoqOjY2Njf/jhB29v7ylTpvz9998Mg5f4+o0A3Kwh/azVnwDRFEx0of++j3uIgdLLRtAMwyxatOibb77p+IBIBQUFZ8+enTFjBvuWpul9+/bZ2tpqIryWlhZjY2MO5wlP2mtqpgCMxWJJY6Nuauz1YjBQvQhSoVBIpVLVOy8ymZFEwujqm30cbW5MY2NjNY5X1nEeHh6bN2/++uuvDx8+vGXLlkmTJgmFwrlz57766qtubm7ajwd1XX4DcTKl+Jo5WcW6UduyycI2HnSLej69TIDi4+Pr6uoyMzMzMzNzc3MZhjlz5szo0aPb+RN3d/fo6Ojt27drITwOh9ORBMhUTgDkRiYm5uY6q4fTi8FAu3+QbAJkavrvqLIcroJrDObm3e5x091/Y6oFj8ebOXPmzJkzr1+/vmXLlm+++Wb9+vWTJ09eunTpqFGjdB0dejoZIjJAfUMgthLhTL94QdYs52gowULdmV7eAnN3d4+MjGRvZjU1NVVXV1dWVuo6qE7qwbfAmuRwoaznrl67CAEFVqvrWl1dXWJiYmJiokQiCQ0NLS4uHj169PTp07GVtH65JlLnGNCtmHJhmCOdUIw/V0Okl0lveHh4eHg4+zo/P3/QoEGzZs3SbUid0OMfhnqjmnySpkiI0st9rIvwafC6dfny5S1btsTHx9M0/eyzz/7yyy/sAIYHDx6cPXv2qVOnxo8fr+sYUUdlVMOrfhocqie6N3W4kMTgDVLDo/cnp2effVYoFOo6is7o8eMAKQy4JxRjwOuuWxcvXly8eHFmZmZAQMCXX345d+5cS0tL5aexsbH9+vUrKSnRYYToaV2vJv010AdeKcqV/ihNTgBwPERDo6lbYA0NDcuXLw8MDOTxeHv37gWA8+fPL1y4kKi7xiM2Nrb9hzB3Wz1+HCBDfhwEjgOkK5mZmf379z9/vyNGzdee+011eyH9eOPP2L1jx6pk0KTnDjxNbgIJz4I+ZBahb9Yg6ORBEihUIwfP/63336Ljo5WVs8EBAT88ccfaWlpmliiPurxNUCGXAuCCZCuzJkz5+uvvx4+fLhqIcMweXl5crkcAAYNGqSndcaG6YaGq39Yk3vTfxViMyCDo5EE6K+/srMzExKSlqzZo1AIGALbW1tfX19MzIyNLFE/dWDT5OGnARo+lEYtVJ4PwVb8rZhx44db775ZqvCpqYmLy+voqIinYSEuuJatUbGgG5logt19L6hHq0MmEYSoKysrNDQUHbUDYr6d9+1s7PT3+5aasfeHurBvzmGtH4g6J26Hry6D9H0w1DLW8h+fIZRh0kkEgAwMTHRdSDoqV2vJv011gVMKcSeKmwk5TgktIHRSCNoS0vLRxMdhUKRnZ09d+5cTSxRH/X4kaAfbQM0+KC89gUjHYWjVYyGa4DkDEiwAuhhly5dam5uzs7OLi8vT0hIUJYzDHPs2DE+n+/o6KjD8FDnXK8mr/XT+HAtNAXjXegTxcxcb70cGgZ1jkYSoPHjxy9dunT79u3z589na4AIIZ999lllZSU2P1Tq+W2AHlk7sQIMpKsF0fAABzIGJNhi4WHz5s3LyclhX587d071Ix6P9+WXX9I0ntv0DEMgu474aeAhGI+a6EIdKiRzvbWwKNRdaCQB8vHx+eSTTxYsWPDjjz/m5+d/33H374YVZW1vr1652dnTWxRH1kgL3A2HoRjjqOZocLGTkDU9276SmNEFCo45u930Q+SGF2jGw9orSMAbG85+46nXL69GmZTLZjx46UlJSNGzcqy7lcrkAg6NxzOW7fvl1VVRUaGsrj8R79tLCwsKCgwNra2t/fH7MrTcitJy5mlLFWNu14F3rpFRlDOLQhXKIhANDcOEDvv/9+cHDwTz/9JBKJCgsL/f39169fHxkZqaHF6aMePxDio73A5OqrtLhRDXICU93VNkP1UlcPOJEYbte2MSesAXqUq6srALz22muNjY2enp5dn+GiRYvOnTvn5eV169atM2fOuLu7q366adOmTZs2eXl5FRYWKhSKkydPOjk5dX2hSJWmRwBSZWsCnhZUahUJ64UZkKHQYGo9ceLEAwcO3L17Nzc399ChQ5j9tKkHn8Va9QJjc4JO14vk1pPIY3LlWwUBRfeuPVNLdPLH1CTJGBBjG6C2ODg4qCX7SU1N/euvv5KTk/++++ZM2d+/vnnrSZYvHhxVlbW4cOHMzIyPD09t27d2vWFolauVWvwIRiPinCmThR366MKUi+stn0K6m12+qAXWM/9uTEPj3qp6Nr6NsmhRqI6N6KWe0wawqgpAZIxbc9HTkDOQOQx+b2GBx9PPalolrcxpYGIioqytraWy+U/fST9WMUFhZ2fIaHDh2Kiopix1GcPXv2oUOHWk2g+rRjhUJhbW2tlhVBqjJEMEBbNUAAMN6ZPlHUg69JUWsauQV28eLFpUuXtvnR5s2bBw0apImFakH/ffLUKVxzNXVjMoReYMq1k/5zIu/06rbqV6VQRyObn24z09zpXm207ugqdhygihYoaiLB9p0/gssfkwDJGACA40WkUgzuFgAAJ4qZJgN+ovXcuXNHjRpF03RYWNh7773X5jRPlaMUFxe7uLiwr11cXCorKyUSSauO9BkZGcuXL793797gwYMXL17c/gzFYnFxcfGaNWuUJfPmzXNwcOh4SE8kk8lkMpkaZ6g1j4v8mgj8LBitrVOIDWTVQlWTzKpjDcZkMhmHw9HH5l96uquwMauOrdMOiqK43CccEDVyvLSysgoJCVG+JYTk5eWdPn06JibGwsJCE0vUjkYZtCigiwnQ7Vpyu45McaPZ85pMPzOgr64zMW5UH6v2dkRlO5jcehJzQnE1lgtdqAFqdfvscZnBU/kjlwmypXrx1H+JSYAQoH7PZTKqyS8jWjdhbqVRBhVi4mnRRhgy5nG3wB6Usv83yKBZrv5k+j9XFF8O4hjpw+E9Li6OfREcHBwcHNz1GXbkoT2enp5ffPFFfn7+ypUrDx06NGPGjPZnyFKWKBQKhlFnfQPDMOqdoda0GXmtFKQKqpcJ0do60QDDHOhzpcxk1w5N38M2ePfHxtzByDuSmGokAQoICPjpp59aFR48ePCdd95hGyrqKQKk681400UkoZhM+efJw+3ftqiTgrmRerpNqdfFcjLAjupj1d40yl5gzXLIqiUiCQGAPfnMCz6dOaO26lelUMdAOwwBqWYOAmwNUGYNkXVg/qdKmD/zyW+j2siT5I9ZTeVs2f8rxQQ6Vpt4TUT+vk/eC+rQVxCfRz4YCHYPDx/49Q3mBR/aXgPVZprQ2NiYkpLi4uLi7f10/ZuFQqHymaklJSV2dnaPjqNoYWEREhISEhJSVVX1888/t58AmZqauri4vP/++08VxlORyWR6Othjm5HfriZB9goTE63Waka4MOcr6eneT7hoYSkUChMTEz2tAdLHXYWt++lcj842ae+bi42NNTY23r9/v9aWqHYMAXmX2+yQh/t/tbTbrmjJRcXJbtkoryOPuVBOw56kpQoAgDRRJ1enVauaDtYANcjg99w2cpCdOQwAMAQ6kqB0ArvutdIOdXxr53aejGmjmfzNGnKn7sFrdiOwrdOYDuyc95tIRnVHvwKGEOkj++f7KYprnf0SteDs2bMBAQFisRgAampqBgwYMHr0aF9f33Xr1j3VfCZNmnTs2LGmpiYA2Lt376RJk9jyc+fO1dfXAwD7EevatWs4wIfaZVQTbTYAYo1zphK65SEXaYJWk2tCiEgk0uYS1YuooyO3si0L+yNrabcGSMKARNGhsQNrpZBUSURiEueljaSWIeSJ+YfyFhg7pYwAdGEDPloD1BGZNeTzdObZR7bJyxcUz3rRDIE6KfkkjXwU3KGNViuF95IVm4c9+eqQIXDkPiNRQKTrk+fczoPD5Ewb23lnDqN8bhGjslWVE7Jbvs2Kw6caopoBkDIP7X536oiiez/j9vTp056enuywPZs2baqurj5/nxGRsaKFSvmz59vb2/fwfmEh4ePHDlyyJAhvr6+V69ePX36NFs+adKkhISE8PDwF1988f79+87Oznfv3pVKpUePHtXUKhmq69VktJO2E6A+VlSjHIqbiLNZ96t4R+qmkQRIJpM1NjYq3xJCSktLf/3115s3b4aFhWliiZpzu5b4WFHsuYQhak2AOlADpGA6tMRqCQw5JJ/vS9dKSJxXJwOTKODbm8w7/R+csOuk0CAjLo85CnTkYZ+tEyAGoAvd4B9tBN0R5S2kQtzGpAoCEgUwANerYftdpoMJULWEnC5pPbdtdxiGIc+7P1RIAKolAB1L+NjKrTt1pKgJxgof2uCqbYAaZGBhBADAkAczh3+2g+LhQTW33GZqpPDfAf+u1NH7pK819KKeLgEiBFrVAD1/RvG4jmndRFlZmXLAnr/nvOnDnDhw8fPnz4Z599lpGRMXbs2I7P6rfffktLS6upqdm+fbu5uTlbmJGRwVb27Nq168aNG5WVlY6OjgEBAfp4H6SbuyYi/wnQwVYdJ6ROlZAXfDAB6vk0snv9f/bePE6K4n4ff6qqu+fcezkWWK4FFhAUBIkaEAHxwpNgjEZDNCZfTYzGJEaNRzyS6C/mMppE8Ygaj3yIUeONosgVkMMLuU9hOZaFPWd2ju6u+v1R3T09M3uzy87iPH/wYma6q6uqa7ueft7Xe++9V+hCUVHRmDFjHnroobvuuuvrX/96V1yx6/D9Zeb6Gut5LwSOPPuuUyJUvlm3rACZAjVxrKpq5apxjqiJ2lgrkeFRE+NfMfY1NnHQioPivb3i7xsT2/Uru/jvPm929+ZAq0KAY7RqOwHSOQ42U4+wY07QlRFUx9CQFu5gCsQ4hMDGWmG2mdQ2aTLb14g94dQvHWNUW5zchQAHlleKf6VZ65xhVoTF1DcMp/M18SQFKIUAhQzUxYV71C9s52sOWX5C7VCA0nyk5PAzmQAFAoG6ujoA+/fvX7Vq1fTp0+X3Pp+voaGhva2deOKJM2bMcNgPgLKyMikvMcbGjRs3c+bM448/Pst+Oh06x/Z60XKYRRdhRtYK9pVBlyhA48ePnz9/vvubkpKSUaNGFRUVdcXljhD7G9HHh+bSn7s1GN4ZJjDHM0YAXgWRphhBbRyPbuS3nkC5EMsO4K094uUzWjK7SPNQTRzBFu9nSMenh8WhKPr5sfKgqA/TM4MAEOc4/Q3j6nLqpgLNpeBzrtgmBci1MUstoYUJNAXe2sNf2SWeTqv8gKYUoLY8osI6uMDbe/g3hya2KHkLoqaUUkTbb6nZlNO0wYXMSXjKa8aKCxTnEvaviSN3h0Sxl6RHqsuh6Rz1aUTNcYIOG4nMh6ZASE+cC4cAuS76n53iYMR8yg5A0znkzeVtyL0pAJNDodIElvSTeWS5DI4CZET6yy+/vGDBAlVVZfHBaDRaUVGRzdTcg7C+RpTnE6U7iOWMfvQXq77CObW+SugSAlRSUnLJJZd0RcsONm7c+Pzzz3/++eeFhYXf+c53nPe8DuDKD40HJrGJdrIWLnAgIvr5rY9u4aEDCpAA9obFgACJmogYKPAkbeRBJbGTubG/UczfwW89gUqholVzDxfC5KI2lrS5Lj0g6nXMKk0wO7cG804F1+O0vJfwMuJllobkdvE2BVqQRtoiJCRMYGlXbxLD5hvnDySywsNDX/BrRtKAAgAC2FQrUhUg0aa167502ED5v409lylyXDFTcCCkw+Ri2QExuW/r75pcNKHoGMKiJm7XYHnUhYNog5748o41/MJB5BtDUh/qAlhRyeMmSZ9vxwTmtoUl5dcGkKYAGRy1cVEdS4wobjtT8zZk0H5xO/+8WjxwEks3gcn1v72+TX5p3YI5c+a8+uqrc+bMURTlT3/6U15eHoD/Oc/qqqOGzeuu3uXRVvxyWEx/ijmgHajjw/5GjbXdY/+lMXRRE9Vbl999VWfz3fjjTdOnTp19uzZKcWf24WomWTXeGoLv2JR4qnPRdLG096goc21Ys77JoAXt/P7PjHhogVCYEQe2VgrKsJpeypPvNnHzNZ3LEkOQoblMCsdRFZViaUHkrorN285nNo4BMS8Tfz/dnAZQxQ1k72Mm4o/cl+xLQQo3QTWnAIkgC8bxP5Gi3U98Jm5156WirCYs9BMdYJuihdKnpTSB9hD/qJa7A2Lyoj1USpADTo4cNY7bXrha0YBsgiQmxzL/+aqSQumQW9i/XxjockFDkSw+pBIN9U5KyFuYkudZSNzDzzJCVoAwJY68c9tvD6O+njiON12pnYssC2gPo6wbh2sN6UAPb45czOIKIryr3/9q7q6uqam5kc/+pH8csqUKatXr+6Jcb9fWXQjAQIwox95P2sF+wqgMwnQT37yk76tYenSpZ1yrdtuu+3222+fMWPGVVdddemll7711lsdbirOk6SOvWHEOUyBAxEgeacX7TeBRU1srhV/28BjpuXv7DaBBVVM60eXHBAAIgacsgaGSLzZx81UG83CveKtPUl/nFzAEIgY1v40+iU9YiDOU1/fLQ2GA0BNzOJ2XCBqCgAhPSnLUesKUGtj52jJCTqlxqfOIYDDUSEHUhlJFB7RuTUh7hvxeXUTDk+XfmDuqE+dGeeiWopVRwAAIABJREFUlREBYHfIOjFmgguEDJjN19V6ZRffY/OwTw+LOQvNdAZj2NY093RJLuJVkhZMyEjtc4OOl3dxefWYiYY4ANy62oyZuGapKaxSGAK2KarB5iUApHUg3QS2pQ5b6kSco85Fp+JmQiVqlbkaLje1FMJntMhiMwf5+fmBQMD5OHDgwOOOO64b+5NFe9H9BCgt3CGLYw+daQKbPn16QUFBy8c42eU7C5zzjz/+2HnV6wDiycqHzoXO8cE+8Zf15utnKo4C9Pt1nLfZBPbxYShMjC8icY7aOFYeFJN6EztZSyIKjABDgqiLA8B7e/n8neK50xlcWf6kCSyFpa45JBoNcW5pwlFGOm1ETHCBhXtFdUwmUW3ag/XOteYfvsZq4+ijAsISmQC8sVvkupJcmy1SHNGGnM4iOQoszgVsmaQmhlEvGVsuUYbbIrPkatUx5GjYXCcEEtXOTY4tdeK5bdy0Lxk18Fm1GJuWIyRiWmcJoDaGAo/VAYvxcOtCDgESQEgXMqzJFIm48U8Pi7CBr/chz20TGiOlAatv+xpF3ITBsbVejMq3jpYKkBT2HMuQvK6XJS2YkA5TYEudWFYprh5BYScwlAsgZiJsAMBz28TPx2L+Dv7XU5njiRV30Uf5r0phcOhcvG+l67PmOWqvZtlsTQwFnkRNsbYUKUscLBDn+PlH5u+/Zi022faRhwJ0Kerq6p599tmtW7fGYjH397/97W8z0w0xixRwgQ01YkxBtxGgqSX0mqW6KVgGJqHNohPRmQToggsuuOCCCzqxwbbgvvvuU1X1yiuvbPmwHTt2vPjii/973/lR03TVq9eXVhYCCBqaDur42P83MMAIBxlcZNV1Mb3h1goFDW5Fm6M1zfwX63RQEhDOBIKtfL+G4lEXtke0Bgd7jHqQhRQY7oRjvDGOA2FIq/vUikQCkUiEWqazAtxKIRQyKhvpNE4C4UiABrC1DCVUCgUN1QDUClCoajTfmNUaTREKJRQLUJhYnA1HBexOH9/t9C5sr82HIrSxhiRDUrUhwmgra7iWw/F66IspurgJEpREzIBDYDBhZO/IBJlcZ06p/9+g/Lz0Qk7kW6ojZH4I5+RRZX0mVMtqWF7AznnA+2L82MatVowTBYKhcIRCqgNjVFAjcWNUChSHSWAVhtqDDFrL62JE0A7FBV9veba/Sag1jREQl4eDofrTQJoh8KGyUkoFOICqw5bs+oeHYCo4XllWzSvjG+rx33rlFdP16MxBWCN0VgoZNaFZTci9R4BaLWhiGEqIZ3IHtTWhzw2pXxzp3I4Jk4ImJG42hgx5R2vC9OwoQqBD75s/NVn7L0zrFFH40oohvpQCMivqw9JYUY3VIBSMx4zmDOl9TGtMar/9H/0zb3Uy6MXDOBL91BAPRiKAUrMhG7yUChkmFpDKGwKrS4UDkWoyVkoFKoPU0ANR2OhkBmLKwBTIADyRVVs3lblLyfpgLpkT/RwPa8JE0AFEIrzLQdDFy/WPjonHtHVxqgeDocbI/STQ8qNy6K/Gdes1S8cVWJxhEIRDk99OPK3jepdoyMySkA3PQBiBnfnuWgSmqZ1YsLWtuPAgQMTJkyoqqoqLy9PsXml8KEsMhbb6kU/P/F1X2G7PA3DcsnHh8RJvbIM6FhGz66d+NBDD7300kuLFi1yV2ZuEkOHDr3sssuefvrp9J8MGLd/pqke+u1hFABRTA4RId4anQeDHkKMlbWeXTEiiCkEVK8vGGzlT4IxpqgqZTQY9NJ6ARiEKUwjnIhg0LO8SifA65X+AQGiKGZxgB6MimDQq2gcTASDHgBaWICYwWAQxDAAjUJ+L0EUc+0h4Q/4nMg1nxAcRkwQpjCTAeC64gfjgiEYTNQsUGMCMOKcKB6vIJypKpiqqIR5CGAAMEGciF9F48TuD4AHN+i3TfB6GFZViUFBQpmhedXKWnEgljgmHBb7IwbXrGuqHk4IDwaDnnoBGEzzAiZhSjDoqSECMLw+vzOZoQgAvSYOUCZUFTCpx/eXbWJ8Li0t8AEGpwoHDwaDOxrEt5cbAGRT7pmPc/1PG5VJJYqiwSTmbkM7qHOAE8Wj+ihROWCqHp/XTwCdenwgZtQUchqJNxji6OvDP7bwkBBgCAaZoIaiqcEgBcA0zoUJYHfcW2dw6vVIl3PCTAM8EAgC8AeDkvxRZgAiz6dxCGdKG7mhaAqnHBCNxBsM0i8aTIBHoEldhoMGg0ETutcfMIXu8QWoygUxg8EgqxGA8ctPlHOGeKnCAa4xAgN7Y1rE5JrHBxjvVmo1nBR5AJgA4oJQb6CRm8FgkBPjtk/o9LMDmsd7KGaurlachXHtMvMXJ1BZiWxDrVhTJagCqohg0CuETjWvyU1vIKhRnPW20WgK2P1s+a+gu/DEE09wzjdv3jxkyJDu7ksWHcSqqu5nHjP6k4X7ur8bWXQpusoJmnP+2muv3X333f8vGRs3buysSzzxxBN/vf33333bZnd20SOkfEFL/+lDsfDY7qGGTtKi6w8qB4eReXNg6DY3u9mPx6Kz6zhh0uJC07poDBrXiu+jhq45i/Q0hzSb4Hnx22fJMdJxKDJ3yAYi4L3b2f8M+rhSHw4X7RoOP9feJwDLA9taUPkHQoqY0jzlM9WHUr+gmGgCGs9DMciJpWFoAWim05rr5/28CXHODSSiJtOg6kjanejntqMhGiDDSTTiRPbuG7Q9bBcVMAaDSsgch+bq0Xu8NEHhznQsauR03UxxPNuhE10WgipIuoAS7w+Cb+3y+5QnH/Z+Yl75sx21XZtB1Z3D7ar+/mt6wyAfxhHd9Wb43FHXvlTOa2erGxVty+xnTudchIjPHnH5k1MdsEphC3tajREKadS/OJzRx2dmxpq4LLwrUnLEyB33xq1setNEXSgBjnqI0lTGAA9jYiYofvxUxriiRqYzhvgRkzrRMbdNTrhKfZsD6vFtvrrf+vrxEL9wq3CczgiRlbWilkV40MTgS0e/fumTNnZtlPj8aaDJBeZvSj7+/NeGe3LI4MXUKAhBCXXHLJ7Nmzn3/++SeeeGLFihUvvPDCvHnzVqxY0YFcZE3i2Wef/clPfnL77bevX79+4cKF69ev73BTcVNETSvsBbbLbb0uIgb+sI7HOSoj2Fhr+e68tJPfspofjALAf7/kypP6zoYmNgPDzh7kBF4ZHHFT1MWtrbEmLqQP0LmlVOY5dOfdccgQF0kuSp8eFnvCCW/iv6znKyoFZHw+R9QU3GYPDbqImc04QQurewJEDipmWgmE3G68qQRIJJy4Pzoo/lcpLALkOkUyjAZXiprqmFi0X9g+QIlLyJ7M38E31tp3wUX+fvOpCSBmCtMKzrcaNwWmvWmsr7Hy7sgwMbf/csxE1MCqKhE1hc6xqVbETagUNTHU6yJm8x6HZ7jvXIPuVNRCfVzsahDLDgg3AXJ6uC8MAOvsiloGx95GK4K9Li7+sI7vaLBqfnsZtteL+TusM6MGTJuVbqwRzjw4BXEddnjJ+6bJ8eDnfH0tOPD+vkSAmHNfVEoAxE3hOL9LJzAnt7gADsesuXJuvZuMymOipuWKBDu2zrDrnHA7EZEk4k7Szi4qoNYpGD9+/M6dO7u7F1kcEVZngAJ0ah/y6WHRcqLaLHo6uoQALVu27NVXX3333Xffeecdj8fz+eefHzhw4Ic/GGfPn0mTJjQKZeor68/99xzX3/99Xnz5s2bN2/RokUdbirOk1QWnUPnlkzy5y/44ZjYVCv2NVolkN7YzRviVoXImhhMga31uPeTtAS+9ou+s+kaQsRM1NqRyZIJEYJeXkRM/O5zftfahJOvDMNZVy0+PizirpTHBofBrVgtU8DkYskB/ucvuIy3ChtwBICwYSlAf1zHD9nuQ86+1Wgk4qokAcrVCJKTHjkVOjfWin9t51wgYliSmNyM1xwSIQOmwO/XcVlbVIoNDbaewQXq4vjPTm6l8tMBYEcDXtjOHU7jdMmhF6awfIHlLXhlD734PRO2GHMomtBLVhwUIR0DX7QUJ2H7Nb+7V0RM7AnjnQoR51AJYiY+OigkWTSEMC2ekVRmK6xbTMsUaNDx3l4xbxPXOW5fw7+72HT3UKbS/jIEANUxbKoTe8PCEAQ2lZERbQC8DDqHU7hUSoC2EmYdSUkiGabJccMKM2zgYMRaChVhwQVuW21+YacjX18j3AqQnJZGe8Y21Ao3I4zY6RNl5/dHKbcXksTbe8Qnh8X2eshJljfdUYCE7SBvisS0AxntBP29731P07R77703Emkmp3gWmQ2DY0ONGNt9HtASGsVJvciyygxe61kcMbqEAK1bt27ixInTp08nhOi6LoQIBAIPP/zwtm3bOqtk4PXXXz/fheuvv77DTUmGcSAint3K94aFNIHJGOk4F3ETURMFmsUVGg00moiZYtJ/DbmpONlZ3DCFZd2wTWDC4IjzhM706WGxaJ91lo/hllXmoWgiRlpaZyojFjtxkRIxbxO3zRAwBT4+JJZXWnpDxAC3i4uFdMQ54lz83w6+w9aoHLZxzVJzf6OQI5LDHBCADAFLpL0WggtUx/D2HvHKlwJIKEDymA/2CUkaDjSKqijQlAIEYNkBcd1yE8D+iACwrV78Yws3bGNc3OYgq+1yH45CI/MSLa6kByPSviMZlWh0vZNdtsg4FEVIR72eoB3SWifZmM6hUEvn2FYv4LJ8OXKIDPQIGQlmKVtbWin2NeJQVByKJqyZAPY1wpmNxfv5RweFKdBoCNiFTb4MWSxEJnIM6QLA8kohxTx3PqS4Cb+SELEMgVVVSWasPSEh7VDOqK9bbtbFBWwCJBehTKcZNfHidl4VSTyyo6Z1U+RFH9tCUxQgmaexIizcMqTuypro2A1rXVmFMjkM/umnn16zZs2vfvWrnJycwmTs3r27u3uXRevYUCuG5RJP6xWHuxwz+9N3KzJ4rWdxxOgSJ+hoNJqTkwOguLjYMIyamprCwkJK6bBhwzZt2nTeeed1xUU7jLht+Hh9t/jzF7w8nxhCxDgBEDFgCBBgQIAcjlk7U1hH2MCnh4XcReZt4k0mxyMEcEUvGwIxE4sPJHaRRgMEBEC+h1RFRTSZ6HBhbU5xLkxBYGfhW7hXTCuxjjEFqqIIqol4dVMgaggA/9jCCz0AoHNLUIFr2zMFDkctHx0uhM5JeR45vpDM28QNAelXLPvz9Bb+/31ufq0XBRA1AECIhD0lpAuTI27b+6zN2JDeTRYd2dsoamKAbTkCUGFb8dwpKB2LkrTQ+RVsqBXuCHCZnKk2blEBSsAFPq+GACojYuKrxvpvKM7kRw1r545z5Nkk300c4Yrz9ykI6QjrlmsLF5aPkUzLRJz4eburMp+QNG46/X9lN4WtAF3/P1Oqbnkair0IG3hrj5i1wJAXTVGAgkrCtGQKVCXLFtUxUALD7pKEpDsaS9xTSTplO3sbE0c6Af+OJ1CKD1DM1gtr4+LtPUIqQM4UCeCzagHA5En11JxRn/aG8cI01lzF3G7BmDFjrrvuuiZ/kg+lLDIcq6vExO62f0mcOYBcvog/2N3dyKLr0CUEaOjQodu3bweQm5tbWlr6z3/+88Ybb/zyyy9XrVo1d+7crrjikcB5mu9oENIoIxUg2CSAEuttG3Z1UumrK4nFumpRmrYBGNxKCJMgQBxxjn/vSHAlQ1gkaXIfMraAvLyLJzlB25YmqXw0Ghj/irG1TgCQjs9yrzocQ1+fWHXQ2tAcF5C1h0SOihOLic7d7k0J+hXnVkrGmjge28QHB4njB61z/HC5+fIu/vU+NGygNmbZaBwFSLcJRMSWNBz3aiBR3GN5pQAQtj1UpFM5gP2NCa3FYRUJHyABg2NGP7K+RqiuCm3b64XtMSMAeBkaDWtElRHUxfFZdaKFqJ0QiAvpKyMAHIwKShKmPakAKdS6uSEjYQKrd9WvEEiyIgGQfE5PZkVLKglsbuRwBYWSSb1ISMcGO+ujaaeSkh5UVVERVImj98RNqwUHVt4djh0uV7NPDicUIN2lAMkhp5fO/dlH5uGo1dsUBUj2/6WdPGbiz1+Yc4ZQxwQmj/znNg6XXdKZYYkDkSYKzXYvTj311FNPPbW7e5FFx/FRlfh6n4wgQGMKSE0M+xoTlZGyOMbQJSaw6dOnh8PhTz75BMAdd9xx0003DRo0aOTIkYWFhRdddFFXXLHD4AL5diR1VcTafQ17Y5Y7AXMRIACOraomJhTLDJG65Tg+QJYJjFsKkHu3MLiVNO+p09i3yiyNR8IU4MLye5WOIzsaxJY6yy/ETYAihlhWKa5aYjrDcRIoB1XETRgCf9torjgorltuvrA9qZ9yk9tQIxbuFQq1OmNw1MbxxGZeHQMXImKIOLekhZoYttcL7ihA3Io7i7v8lOEiQHLPduQNx25SF0ej3cl3K8SNK8yVB8V/v7TSMMZNCCBHJZ9Xy5pTFpypkw16XfqH9I+psQmWwRE2EhYr596FdEzvRxxnc4NDCKjU+hsI63BoWWOy56OUvpwG5WV0lzc3YDlIXfK+6cwDAIXgx8exbfXi7rWmfIaaruIS/97J39srgmpiiuI8iWdIyPSbW+pSp8JtApMM1e0b7sb7+4R7PQOoj1vxgzEz8e/hGKImFlTw57ZxLvDND0xn7KYQYR2OVcKhR2E9SZrKKFRUVCxZsqTVfEVZZBqWH8gUAgRgZn/yXrYmxrGLLiFAubm5Bw8eHD9+PIAf/OAH77/ty5c3/zm9+sXbs209KHUIJL7OKUjYaQqXV1bpkMJBhNIkDOBl8Xx8AAQVq5ALhe9MOG/ZGj0Ui1Izh/5bL9JB8ge5+Lm9jfKH7zaeIah6MCwNQ3zK11iJpJu7XpIkCvzlS21YsDjWJbPQ5HURFOeB1JyG1sTxgAFJKIhA/Z+ocpLKYitZ9/7eC3rubCFVIUTShAAkCMg5HEFp4SQOEOmHfKn22sFfsb8UWN2B0S5w2ksHfxoIqKsPiiRqRnYpVd8ikyBgoAntrMYVdAkxdaXpngpO6C0sNzSYoJTKNgFADChqPNiJQop1gy15HQOXY2iK02L4nyJlaCQhFQsCuE4wvJJUMJkIgCg20vy1GbLcQhISe8Kpr6vVsBki1Ek52TnUVb61BDYUWr1caxaB/9iJzicsmu/aQuO8TU9J0LiwtSv583ye8Kip6e1ML6zYa4sF1GecksWjRorKystLS0qlTp0op+uGHHz7llFO6u19ZtI6aGA7HRFluphCgswaQdyqyBOiYxdEohjpt2rR77733pz/9qcy8nGlwzCzSJcVtArMOQBIBcrCxVgzLBZAabQ7IGgX4xSpT7vQ2ARKObUWhCRMYAI0SuCwLMvZYigrS0afRSGzkcrfb1ygORkXK3slFooLEsFxyOIbaOPaEREVYOMXI3AdzYH+jZU+RfQnrwu3FLEmM/PfjQyJmypB7q2OWCUxgRz0WVIiFe3mBx+JPSw+IHckJAty78/eXWl1Ze0jotoevTPwaswmQxB8mpEoi8mAZt68LUGKVFXMIkJEcsqTak+xl8CuJrDZSZlOp5QQddjlBp8A2gSX9oHOMfsn4g739NxkuywhyVBxoFLmanWjApQA5VC+SdsmUx3/cbCLpkRxX3CXhpCyGHHsOD9sz427njd1ib6P4MpTUbvqtl5i3iV+z1OzjS3zj8PtM2alsbN26ddasWZMmTVq8eLFT+GLOnDkrV67ctWtXu5qqqam5+eabL7jggvvuuy89i3RFRcX9999/ySWXXHHFFf/5z386pfNZrDwoTu5NM2dRndmffrCPZ7LXfxZHgi4hQO+8887kyZPnzZvXI/RnR2OQCeV0lwnMOcAhQJTgzP7WCR/uF2cNoCPzSRNO0AINunjoCy4jj6Qg1OgygQWSy2RaCpDLSdl0URkAJ/cmvuSwCBkclLIvuk1guSpOKCQARuWTtytEzEzdILnreIVaRPA/u4QjcXGbbUjmtLVexLlwKUAiYghpAntxO7/oPWPtIXFNOd1UBwD/sovMO3B2+dNLiPsnnVuBXXKAspRV0HZOK/ak7vyNBq4YRp+YwgDoHH7F0pyqEyYwkT63API0KDTh4StnT6OEEgJgX9j2AUq7m9IMJGdvSA5xpjrqqra2o6n8VhpFUIUpkKuSQg8B8NQW7qhfEYvJkXQFKCUEJpZOypIVoPU1CROYg3snWK04lCtkwKnt+sxWvqJSfGR7j/kUjCtKrOR0O6DOkUSAuPW2oB2Nd6h24JlnnhkzZszzzz9/2mmnKYq1jEpKSoqKirZu3dqupi6/PLq6uqbb7555cqVP/vZz1J+XbhwYXV19dVXX33++effcMMNzzzzTOcM4KuN5ZU8c+xfAAo8GJVPVhzMikDHJrrk6VVWVqaq6rXXXtu/f/9rrrlm6dKlotXKmd0HhwBJSlGvJ7IeWwdQON64Z/Ynt41jXgaFIkdFjore3kQAtgOTY18j4txymJUKUMRIvFVr1Iovk0gxgb1bIdxUBoCHpm6K6dAouBDyLEqgUJxTSgDMHkw314qwkRq9vGAfc+KwFGLJUTsbRMjuZEjHTsuPRwAylyO4KwosYsLkQucgBD4FZbnkByPp6iqxJywe35SWGsD+4tzSpFWnc6t9f5ICZM2NV0l9GjYaojSAyX1JeR4xOAKKNW8JBYgnqTguAkQUkpoI0VGANtRali93v+Vtj7o8bIbnNiEH+hRUx5t4avfyIkclAHI1/Gg0vftEtjskuH3fLarnMoHl2bWzvMn3WvKSFKohuyFDBf9XKYhr/chuT+uX2qXdYfLQF4nxuYn7eaX0R6Opw6erosLxqXIwKCfRoBNd2KQ42o3Yv3/iSeeSGlqtzRNa1cW1s2bNy9fvvxvf/vblClTHn300aeffjrl9O9+97sPPvjgOeecc+mll954442vv/56J/T+K4/VYpTM4kAAZhVSt/ck5WAjk10ydNr+PDhixYt2r179y9/+cslS5acdtppgwYNuvXWW6U9PtPg1lt1juoYCLCmSjgmJ7cJTGPk9BLS10/K88iJxURj1rYtLRGbasWesFi4n26stQxJcleWjtVuaIw4ofKw9zZHmXhhO+fJKpTG4G2+MLH8wa9IHyDhNChP6RdAZUTUxoFkh5j9ETToFjN1fIG31onKiDX2lQeFjORyeFuMI6EAccsHKM5FjoqzB9ASP+njIxFD7Aujty8tMs6egRw16fsUE1gk2QSmkSYUIA8jsG9KwGZI1TEhOaI7p7YzZIXiH6cxaXl0R4FpLMGADXtcAL45lFKCQUECoDqGLXUiZkKjKPaSoTkkRaPvYw/2+yPppUMTU9zXT+RgCz3wMBR7ka8BdgS7kysoagf2+23dyyFAA4Okjw9xjhF5JGXeJCmXt9UUOMW1bUzvR2Aram2ExzUPAFYeFAdcAfljC8nUEvKbiWxUvnVQxLSS5GoZkK/Fjf79+69bty7ly61bt+7fv7+srKzt7axbt27s2LGynGppaWlubu62bduaO/jjjz8uLy/vWIezcBDn+KxaTCjOLAJ03kDy+peZ+wKfxZGgC4uhDhgw4JZbbvnFL36xfPnyZ5555tFHH33wwQcXL148efLkrrtoByCf+9I4YgjUxMTt4+mgIPnzF1xaFtxO0PI/HgpGkK8RlcrNT2ypE+X55B9beE0cUZ2sr0Vfn4yIttxTdiU7xKjUygLsblZuzJI5NacAeRhiaRaTAg+qY/CwhA+QJEA+BQQIKAgbUOICQI5qiVISTvy8QgklYlwR+bxa/K9STO5DPtwvAIwrIp8eFo7zUFz6ANn+H35mObV4GX4zkZoCPgVRE3U6BgdRH09y+nZISVAFsb1rTygkuu1q7WMENrtyCFC67tVoWPxAzp5z5LpqDM0hm+sS9bacue3nJ4tmsRF55IN9RBZ6g02AVAKeQoAEAHy/nL72Jf9eOb1jjTkgQHaFEDWRq8HLsOkSRXtKF65KGsUesasBAHp5UWQHFZ5YTHJUCIARSKdORlAaJLF6IZNTSwJU4LHa8TAwQgiEsHQvoVD4FegccRPji8ii/YklRJMjEzWKXl5nUnHxILpwrxlIE8/gWngpxlONonmCjZF5ZP4MBuC3J1mJuZcdECf3thrMKHzrW9/67W9/e88999xyyy2EEABbtmy54oorxo0bd/zxx7e9nUOHDuXl5Tkf8/Pzq6qqmjzyhRdeWLly5WOPPdZyg9XV1atWrSooKJAfVVV97bXXxowZ0/YutYpwONz6QRkJ2fP/VdHj8pgRySzPiVIFEUP7ojI8OJD2MtbYaBhGutyY+eihSyUejwPQNK3VIwFQSv1+f8vHdHk1eEKIrM6zadOmZcuWRaNp0SzdDfnc9zE0cERNBBTcN4EBeGQ9dw5IIUBzhpC3K0RpAL285Kax5NUv+elvGrMH00X7xfZ6IbfAeh2wQ8a+DIl+ftLbh4P2W7U0gXmaJkACAEcS0dEYPBQA8jVUpqX47+Mj1THhYYQDcROUWLzBy6BSqyCD9AvOVYnbtOG4x8ow+AIN2+qxvFJ8Zzj9cL8JYHCQOCkfYWcPciKPTigim2pFnMOnEMc5xhT43WdmWS45p5TesSYxBscEplJ47ex/k3qTz6uFowB5mVXOwscwOp9sqBUeavW22AuZXTBsWKOTN86vWHRqT1g8Npn9ZKUJpJrAJvYiI/KIHObBqDj3HROODxBL8j13zvWyBCco9GDxfh41kadZ2o9CoVCU55HPq0VQSWgtHkZMm1n8ZwYDQICLBtPJfSwCFFSwcY5y4isGgIiByX2JE/DioVAo8jTUxi2GF1DgYwgRIiBy1CSCoiVHJvqUJCEzoFozA2BsIXGSTALI11AVhYfZ89+L7AmL/Y3wsCR1MAU++zmhEAKgwINrl5nXjaZIM8x1O0aPHj1v3rzrrrvu/vvvNwxj5syZVVVVAwYMWLBgASHtkBYKCgrcLoz19fVNxnC89trPfc1WAAAgAElEQVRrt95668KFC91sqUkUFhZOmDDhrbfekh8ZY7m5uW3vTxuRaWG2bUcwGFyxhZ9RimDQ0/rRRxffGGIuOKj8bGzqWqeUer3enkiA0DOXSrsIUFvQhXeOc/7hhx9eddVVJSUl3/3ud30+33PPPZdp8g8ARkBsIcHgKLJZCUs4PpMEASIA0MtLGMHDp7KZ/ckJhWRQkMRMhAzsbBB5Gg7HrCzScNW5vHwYHeJyodBoUkltaUfY3yiWV4p6HV/rTRhBzMTc4daFHQUoXyMAenkT/Sf2Rw+DyRHj8CvQGIFNgDy2stI/QM4e0PQeoFJQAkpAgUNRUW4/zB2jjDxNZtJz+NDYAiIVILe1xcPw/j5R6MFtJyStLodnUGLViADws7FU5zjQaPkA5Wm4aDCVN+WCQQQuBUizd/gUBUil8DCrjkdpgKy8QEEaAdJc/LUyYukklgJks5zBOVbZeXlbvErCOlbkxZu7RcxEnmbrhQQ+hrvG01N6k5vGUsmHAGgUThJbxzb00gx2XAEBwCgCKgYFCbNci3DBQOr0TRqhCjzWjesfIHOHU59idT5HBXXt3yrFuCLiFIz0sCQC1MtLiH3vzi0lcIWV5XsIgBE26/rn6ezFaUpZLvnJGJqiAI0tTHx27q88ZmIxqdchC9lmmgIE4Oqrr960adPdd989d+7c2bNnP/bYYxs3bhw9enS7GikvL9+wYYNhGACqqqoOHz48dOjQlGMWLFhw/fXXv/322yNGjGhLm4yxAhtdwX56Ohbt59NKMsv+JXHxYPryrqwb0DGILnl6HTp06K677iorK5s2bdqKFStuvfXWXbt2vfvuu9/+9re9Xm/r5x9dUAKvkthfi+wOOvuBowD5FHy9ryUkuHeLbw6lOofJwQWk0gDbGuFsxBq1NmnrI4PbB0ju6HVxLNwrttYJ6e0R5wnHDo1hXBEBrLSN0jdFosBjbXUeCl1A+gXbPkCWAiQxOIg/nsyatHRIJ2hCoFKEdJzUi47OJ7C1BABTSwisLIUJQWhYLpHd9rmURGnJmlZivW87E5Jw0QX6+iwnHpVifY2QmTZ8DF5GpCOwYrMWhwA5+kRYt3x9HAKkUfTyWQzj+EKC5JB7hSQIUK6aSEEknaA1O/xtYCBJAcrXcO0oaitApF5H1BR5qnUwI/AppNhLBgTIoCBRCAYGrN6eM8BaSek+W4xYHktyLFEzkYcagIcRhUAWMPEylPgwtYR4mUWk0hWg4XmYVerw4wQ58jDka9CYxWj7+Mi5pcQxFBZoAHDNSOvEQg9RKXp5MSKPpPS32PUe7vBg2XN51ra6hLdZpmHIkCG33nrrk08++eijj/7gBz/owMvuuHHjhg4d+utf/7qiouK22267+OKLpQJ0++23v/LKKwAWL148e/bsm266af/+/QsXLly9enXnD+OrhKiJddViUmYUwUjBKX1IRTjx6MjimEGXPL1WrVr1l7/8ZcqUKe+9997GjRt/+ctflpaWdsWFOgWMwO/yAC22CZCSRoCKPeT/jaSwLSAO+vuh227O3xza9JR6GHK1hJKkUUTMxCWG5pAl5ykA9oTF1UvM8wdSADFT9PVZYomHkdvHUQB5KgDkuiTAeycw6Q/rYZadq3/AOrjAQ1RX+FiRl/gVPHc6O6N/6lNGoaC2u3fYQG8vRuYTuHa+E4sJpAnMpQCV+GEKbK0T7qgl6Xh0dqnFAxyVwh2jNChoKTcqRcy0JtOnwMOs8SrEErEcE5gzdY4JzK0A+VxGMYUkxY1rLFFYMd+DCtv2LQnQj0ZbLMdnJyaQCpCH4b4JjBH09WFQEA26kCYwx2Os2IP+AXx7GJnUiyjU6qdGoVD08gFpkVyyY3J0jJAcFRFTKMRNgMBcBEh6nvmYxTDyPdalT+lNjisgGgO1Z0BaPGliARNqcz55xVmltK+fACj2iFwNxKXoqBRB1XJLTzGB+V2kNk+zZVH7irmqVd/DXa6kG9HQ0FDTGjhv30v8Sy+9tGHDhlmzZhFC/vrXv8ovNU1jjAGoqqqaNWvWihUr5s2bN2/evNdee63zR/VVwvJKMaE4I2qgpoMA5w0k/826Qh9z6BIfoFNPPfXAgQMZKPY0CUZJQCWOwcuJQWAUjFi1wNw7LgCFJL2OTy0hGrM2XekAdM4AvF1h/SodTjWKPBU5quWBq1HUxRHMTzQiLQ4basQJReSG4+jta8yYiRI/WX2RMvolQ6MIqFIBIgQiV7W8ZQHka7ZrNsOmWqFQ+Bi+V04BTO1LLh5MnZ1Y9u1bZfRABAv3JrlSSxMYIdAYUYigBKML8PKuhK2qPI/8+Dj68HrOBXHv2QC+OdQq2A67PzeMsSw7lODiQeT5bYCrFAYluHYUi5rmp4etal9ehhCHXyEyV+GAAJlQTDbXCadj0lZFgL5+HIxY3ELegoBCPMwSxpgtz7jdp2aVkhl2QHieRpzXONmfy8rog59zAEGVxEzObddmqymKWQPpFcPow+v5+hpx/kDLB+iqEfSeE5lPwdAcqegQLxPOhMybzC56z0wnQCV+MirfarzYS6KG1MASPkB5Gkr8BBBehjhHHx8ZmksORESehutG0b9u4AAKPBhfTJYfAKOEEuuiXmat0iIPeXwyc1asTEX97WHUp+DqJeZPRpnLD1NG3YZFHF9IXj9TAZCiAPmUhFd1oa0G5WmWsJSjEVncLUOiwGbNmrV06dKWj9m5c+fgwYPb3ubAgQPnz5+f8uWvfvUr+Z85c+bMmTOnPX3MoiUsqOBnDshIOREAMGcIvXut+aPRmdvDLDqALrmd+fn5PYX9AKCAX0mIMRcPsuaEEStomRH8fCwbFEz4UCoU7gibITkkT8OaQwJAgQcAbj2eAujtA+w3aY2ixC+3NwDQGOr0BL2ALThtqxeytjYF6nUEVZTnWeqOPDhfQ64GlSb2JM22kngowgYGBBK2jKCKxyYzZy90ApRS/DaIbQKTsUWyte8OpwD8CinwSEsK/vg1RoDaeMIE5mFQCE7rS9zuTcvOV/58MnNadhL5uBWg8waSYbnEw4gTVQegLAc/G0tzVDI0B/0DZEQeVAqFEEfXuXYUvXgwNYXl1UQJfApemMZ6eXFmf8tzSI7UTYByNQy2u5evWT8RwBRJu3uOipgrWwEjRDaoEBxfSAIKLi+jJxRaBOh3k5gv+d5JuiNpX65GHMuaG9P7kTvGWwpiLy/2R1JMYFh2vjIoCAA+hTCCSb3IX05hGoVG4WVgBOeWkkIP+euprMQPRnBKb1Lih5fBw0CBoAKN4ZxSwog1Rf38lvGLEhR5MDxHqJQwAi+zvII0O7TQGbIDtwLkLLYJxeSu8YwiYc/NEB+ge+65Z76Ns846q1+/fnfeeeezzz77+OOPf/73/f7/bfcckuvXr26u5tZNIu394hzmvFQzARM7Ut2NGStYMcaujwKLPPBKAJKYst0sq0oBAUecjgmGEGJHzlqwqM5RQECoFIii1B6GZHOvAAKPeRwVHgZQjo8jPx6Is3V+C2rTAAaxd6wcNL9wd68q6Lo5wcASrCzQQwMEEpQ4LH2YAKMzCefXKz8cg0fGLRfwanlmi23scFBjC9K6pzcm781lF5hu1SnbFoDAqSXF7tDINKiRBP9CSgIKkQI4VeIQjGtH1lyQDhV5TVKGMHUEnLtKJpyOQlCEtYWFwGy/HWkCQz2NlzoJd8ZTj6rFgcjBMCFg2gvL2cUCrUUIGoXLLPkJYAReBg+vljZ2SDuWusQIBJzOZi7x+ps5D4FSw9YTK6XjxAIjSJHRa0dFueISdIwdP9J7OxSsrE24RTlhmI7Wslb4GNN2L/cuH403Vwnnt7CU0xgsFmI12XS0uz4rGemsvf3CSm2MQJKML0fkXkKpAnMrxBqzbA1RXeMp9IpihKcXUrP7c/nV4AReG3q6V7GKUva7f/ex5XVSd6FfNsImyE+QNOmTZP/WbRo0YYNGz755JPevXvLb6655ppLL730sssuu+OOO7qvg1m0hL2NqItDxgpkJijB7MFk/g7x07GZ28ks2ovMeHp1K8rzMLkvkXtMUEWxXfHRcchwPC2SFKCm0vLK/wQUkata9Ryc/HJyj59QTPoHpP8v0TncmVp8Cm49gQIyoYslxsjX9/2Xq/kaKEFAxY3H0SE5RGaUkSdq1Oq8fOkfnkf+eHLS9is34zEF5AQ7rieFAN03kV4wiBICAmg0oa8A8CvwKSj0EKk/FXqI4SrnKUeX13xMInVFUDtRb9T+18Mc6kZgb6UnFJKHT7X6/gUVqCJoGKJXsTlgyL/Za47ApcPkDRv3XIC9SfHhzs3N6hib6OlgvT2Wu0XaGS/bcuTTQ0IEOno/f2RtDRAzuxPrilv4k/GZ+tzcgh+Bd4W3yx+MoZO7UtSnKCl8qfY3uvO0Jw7cnJvkqdBVpX3MOKxxDPiY8RDQYCAaoUuOiawucOt2ENmUyIZ9eZToFC8dEbSOklZ0pK5jswnH12ouJ3GJAG6upwCmFBMTu6dWfvBK6+8cvbZZzvsR2LGjBmaprVqI8uiu/D+AXZ2aWYtpHRcOpT+345sLNgxhR6sAK1Zs+aNN97o27fvlVdeGQgEOtzO7MF09mD8fSP3MZzUixS47ESFLs8SR36ApQAl/bm6A63P6odiL9GolbvFLVrM6EcmFpO9YSE/psgJZ/SnD3zGpeGMEpzW147xsfepjy5UnNZG2FG0jkIgD0s3SfhdkUdOJ91QrAESSqBSkZJlx8fg0Swq5q4/BcBD0dtHCrRmn1yEJLSQlEINjMJD4VXgtVMcpfs/nltKQiFsvkQd9ZKuUBCSRICYiwA5xi+4vFLOK6XzNnE3AcrToFHoHEGFRA2rnRuOo8IS/HDSq5bKJ5nEuaXk3DY8lx86mby4lb9RwSRT8bWYtltiWj8KmG4FSGYZkeeNKyLfseU6KU1JXG+7IDx1Gsu1k0qPyLPmJKBYeacYSRVmTiwiUtFRiVSAoFJIX3sHTpd9CiKGxVzHu4LtJQhAiRVNdt5AkmlhO6Zppqdsrq2traqqyuSCPF9xLNhH547MrIWUjlP6kENRbKsXwzKmWH0WR4ieqgC9++67s2bNysvLW7JkyYwZM4780XbdKPrdEdStwf75FDatH4Vru3V+a1kBmneK6VfgZQiqhBIwQvxKYnd3BCGVYmRe0h+Sj8GnQO4olODyYal/ZqPtQgS/PYndMCaxQUoG09+f1BMHfjuuyt1bd9MWq4AVBi/3Tpn0ryyXXF1OXzqDSR9t2bjjKONh2DBH8TXPookr4MjtBC0vpzEQoMRPPMyyvjUJ6YQkTWBOV2HXO7OHQJyByASGMruBmuyLQ4CzS2kvH3JURE0hfyrLJWU5RGMIKAlu1xqBSUKOatvy7IitXq25wPXyWlkAHKbiLDMA+RpOtxOiaIzkptnd8jTrDp49gPz4OHb+QCoracjTPTSRIFtiZD65aBAFoFJ8cyj1saT1IOEMWZq3LN6cdhi1fMUIXNFhmYPZs2cvWrTohhtu2LdvHwAhxNq1ay+88MK8vLwpU6Z0d++yaAIxE8uryMz+mb4ZEeDyYeT5bVkafewg09dcc3jggQceeOCBm2666bnnnqurq3vvvfc6/RLDcknQCloGUhQgSlI2hpRU0QD+PpnlamAEp/Ul/QMkZZ/TKEoDJCUcvcSPy4ZSWW6JEeSqze4ufX0oDZDheZblSPKAYi8p9iL9JHlAigLkttHInwgBtQwuABBUMTyXDAjghuNoacDSu1IVoNYigKitAA3PI0ayAuSYafr54WEWGWq+HaKQlkxgzMUeZFJjRuBjUAghyQ3/dybLVUmxF1Ez8cNlZfSHo6jfdVPbRYDk8UUelOUCQC8v1lzUirZKCX45jp5QZPniTCgm0gTmHoiESpOyHqTgqhH03FLyw9FUKkByZobnkXfObroDKsWkXkSawFLgWIF/M5HBZq7ph8lsmbLb6cys2zFjxow/vGP8+bN69+/fzAY9Hq9EydO3L59+6uvvpqTk9PdvcuiCSzcJyYW8pzMW0vp+HYZfW4bzzKgYwY90gQmhPjf/731FNPAaCUnn766cuXLz/zzDM7/UKayxhEXRvplL5kYCBpZ3B4j7OHXl5GF1SYlOD5aezOtaZ0/YGrUnd60eMhOeTJ05h9WGrxy3S8OI1NfNXQ7Ld5laLIQ5rUUfwsdU8NKCBCCEIihmuABCpN+PSsukjJTS3ACSBRRqpVB1gC+BRCgOkl5Jmttg+Qvcd7bI8ZGK00Re14eMfHBRYBskblRK3DVdZKGnrSo7FUimIviZjCicLr7QNA3BbJ9hIghWJcUVI0XKu4+0QGYFu9APDdEbSvz+rJ1BIy2qVEatQqKd8yCOBXrMB4pFWcdSCTLXkZlLR5kRpnQIHMxutX0D9ArhqRemOkCczyW8+4ogUAcNNNN33rW99atGjRjh07/H7/iBEjzjjjjB4Ul/pVw2tf8lkDegapGJlP8jWsOii+lmGub1l0DD2SANXW1sZisaKiIvmxuLj4wIEDLZ+yZ8+eBQsWTJ8+XX5UFOXJJ590ChM2Bx6ngCq4GQpFhalCEFkeiAJDNLhL9jGhyn1ZjzaGeKPMlsYNhYKGQqFbygHTOl6YKkDLPJHjC0QLRf+I8DC9MRRq6bkQixBAM6KN3KCAYuoxjTBhmKFQarlUv6IxMxoKWdLNcX7yg2HshZ0kxknEgBGPhkJcjyumQahAqQ+hUFQOMxRLbshUgITsY8Za6SGgmdGwj6nC1A3B7G5HQiFu6CzIaCgUpVxRQFRCQk1NhyzaR+AhnBu6MLgAlFg0EgpxYSoUTJ4VNQigxSKNIUUwoVIQEGJGwwxaLBp3Bi7BoOUxbnBGINwXVUVidJFwKNbmR5xpmnpMCO6T89Yu9KEYlafpsZi8axf1xUV9ASRW1xCfAiAUSqsAlwxhKj5CiGh6GiXC4fBto4hGxOEYYVBTjoxFSIGmvjJVjzTGCDw5iBaqyvhgNKU9Pc5MgxgxPipPmVbY2NzVNE3rxJI97UVJScnll1/eXVfPou0QwJt7xM/PSKvwnKm4Yhh9dhv/Wu/MyH+VxZGhRxIgv99PCInFYlLTjkQiraa679u378SJE++++275kVI6YMCAVosj5vg5YGoKCwY9qmIw3mwBuQE5Jg7xgIrCHH9QpZIAeTWTUZ5yiqaaAA8G/MFgS1dn1Oib7w/6WzomJy4AIz/o93s4wIuDHp/K/V4lGEx9aw+oxqhin3PFYBDnmmL+lzonBBABny8YJF4P11Rx0VDiY83WI/R7TMAiEx6GkvxAy4ULGdELcwMrLxRPbOaGnYc34PcFg6S8iJ/YB8Ggx+8xqSm8SrNzGwwGGTW8muLRZFYhU3ZYU80pJdZZxACg5wT8wSDxa4bKhM5RnBfUFENezt1gScAYmq8A5sz+zH3RPJ81OgLk5rSjeIJpmkG/riqsY3Uc8zyGr6m7JnHv19rUyN0niY8PiU2fpK63FASDAQB5wL/PEMFgEkHJjYuAap4yIHA4hlP6GIMKfIyZ6a35vFyLi7wALfKZ+bk9r55iFhmFFZViYAAlvu7uR5txWRk9/mX9TyezDEkAkcWRoEcSII/H07dv323bthUXFwPYvn27kwWkOaiqWlRUNGHChHZdSHMFV7t9gNJxeRl5aSfePEsZmkui9ru6QlODxWB7XbVqYfnTybSvr5WDqO1PrVBcMoRePYL+cytv0gR20SAyppCknMuIdfsV265EgHSThxvuxj+brbRqASnPJxrFWDt/oLvbP7DLUWkUQhCNtaQkSSdoYp9LbFdoJ+OR23VGmsBM2wSWPonvnqO8tJMDGJ2sAPodR/X2P9pYi8ujZXgYWqPirWNAgGytb2sfCJAevcWI5S9f5MHy85WVB0WTrcm7MLaQ/Pnk7EtwFkeKf+/klzRTPigz0duHSb3om7v5xYN7UrezaBI99RZefvnlf/nLXzjnGzZs+PDDDy+55JKuuIqS7HHSwuYijxwYSI2uSt9CKElkZ2kBFw+mrW5mts8vUSjR7GIITRKg33+N5SebI6id5W9YLpHeJw69aAHuxtvi77LKjttnaQTI3Wa/AOZNbmk3tQiQfQucO+L0J4kAMaIQ/Gg09SlQmuElipUUJ+m30iCROQja6wAEgBHS4b8ljXbO3yFLy8/ZLigkKS+D2kyv5JuARhNFY7LIomMQwCu7xOzBPWwhfWd4wqMxix6NnkqA7rzzzvr6+j59+kyfPv3hhx8uKSnpiquolBBYxShoi/xAbqUpykGTG9JVI+h9E6m/M6Q3mQe5txeKzQycDL+tQsaQKwSvzmROsuBWdQjFdUS7HlpJBCj5J41CpZiZVp81qbeAQlzlP+02taYIkIdBpeS3JzGCpp2gnSNT5uq6UfTG4xg6SIAE7aiMo9FOUIDQ2hJtFSPyyPOnJ2io0kyvWpZCs8ii7fjooOjrx6AWnQEyEBcMoh8d5Ada8crLogegR5rAAOTl5b3xxhumacrKzF0Emaj30ckMrfGD9MICaEYBmlrSaX/tPgXleURSGeqKe2oLrBhy16BIG+iwu/F27YItKEAaa51wKBQas6qVwaUAOTkPpT7HKAGg0cT3zckY0jSZPlcBBX6l2RCqFpCvIb+jLr8aI51CKeiRKUCUYGR+4vxiD8Y0VZqgLeskiyzagvk7+JwhPW81aRTfHEqf38avK+vurmRxZOh5i8+NLmU/sEuESsj0Jy0cibRykkdokmgVAwJk1YWKvLqtALWVABGAQig00cO2KEDu0t/tGlm6D1CiTdpEtr0U/HsGGxQkNI0AuQfL7LForuyCzckYtgks9fscDfkayW9/fr+JReLZ0zu4Gj0t5kBqOzpXm+kfIE+d1sSITu1Dzsrgqt1Z9BRwgZd2im8N7WHyj8T3yuk/tmTLYvR4ZB9kLcHtQju6oKWgMbmVpqeH7lICBDsVoaMANecDlA6pFjw+mTlp3Vt2cpLwuzbEDihAbvriQGvDLI3KJzJLTSoBcp3oVKj1sqTKJM0oQNavKZg9mN45nhYc3fQ2TZaO7wA8rRVh7RSML0pN4JlFFh3AB/vEsFyrBF6Pw/GFxMOwsqpHdj4LB1kC1BIU187049G0haqfSlMmMKWTNrZW4ShA3x1Bp/Zt0yWH5ZKfjjZPLCZOn9viBJ1jz0B7xyWNU6xJAsSaSDfcRAskIcLJBnJU5HuI+4AEAbJ5wOVldFheE31tjgDlaxiSQzpszOoYtKZC1TqA8UVk/oyeatTOTNTV1W3evFnX9e7uyDGI57fzbw/rwRvQtSPpk9t6cP+zQJYAtQzFJYqU5ZL3zml2d5Gll9IIEOlqBci+kMUqvt6HDG5bMuKgiln9kyTctihAjnPMi9PaJzXIeZDVFVLWnNpUsoB0nNSLnNzb8jOWg/3719nZA5oiQEpCAbrKzrDcZH+aTDRwYjG5aexRDfA+oz8ZW9g5CyUDa1P0XMybN2/EiBFz584tLy9fv359yq8VFRWTJ08OBoP5+fnd0r0ejQYdb+3h3+iBDkAOLh9GF+4nh2OtH5lFxqIHr7+jALXN4TnDc4kMunajuRjsTkdzni7tQpsUINvmdOGg9q0c2fLTU1kfX+pV/Appi+Hm9BJy9gDilEFNB0tUwCCt5iiTmtOYpjKB9/LizKNr4rl0KHUSGmWRIaipqbn55psXL168cuXKH/3oR7/4xS9SDggGg/fdd9+CBQu6pXs9HS9u52cPoEdZau1cBBTMHij+sSUbD9+DkSVALUFpc4IWlWLtRal10ZWu9wGyLtSig3Yb0XYFiJHWy6CmwFKAFMJIasTTDcfRG45ra/fdYfAp+OEoKnvlY0nO2i30JwOLmWeRIXj77bePP/74kSNHApg7d+4777yTUjkkPz9/2rRpeXl53dTBno15m7iTCrXn4vqR5l83injWGbrHIusx0BLargABGJWfeuhRU4Cm9SMjmvJ0aRfaEgUm0xf52r9qJOEgTdGsdvntNulGLfHricxpUGtt3mV/OiUbUxbHJCoqKgYNGiT/X1xc7PP59u3bN2LEiA43qOt6ZWXlo48+Kj8qijJ79uzO5U+maZpmDyiqteYQIoY4uZg7ne0pPU/BQJ85oUg8v9X4zrAe9irVQydc9rntPW81Tjy7A7SEI6lvgK4Pg3dQGiClgU5op9XBKi5Xng60bGXrOYI5Ia7WmoOHtS5QMQKVtjViLouvIHRdpzSxPhRFOUJX6FgsFgqF1qxZ4zQ4depUv99/RL1Mhq7rPcJf+/5P6Y2jhK4ntrGe0vMU6Lp+Y7ly3UfKNwcaR+dR31nouRMOoNUinhKEkCwBOiI0WUmqXaf3oJy5rA0mMOk640TOt6tx6z9H5q5EbSWpBfiU1pmNQrPyTxYtoaSkZMmSJfL/jY2N9fX1R5huPhgMlpWVPfHEE53Ru6ZhGIbX6+269jsFm2rFpzXm/JmK21GvR/Q8HZzzKfmewRv5SxXa3OE96XWqh064fCfRtE7zHetJ9+zo48gJUA96LWiLE7RUgJ5vZwgY3AVlj6xcQwsmMAdDcsgJrQVVOYU/s8iiScyYMWPlypU1NTUA3nzzzQkTJhQWFgLYtm1bXV1dd/euB+Outfzm4+mxVEr9/pPY3R/zWM8zKGWRJUAtQknz2G3f6T1LAWpDb6UC1IExuX2AjmTNtYUAndKb3HJCKxdhBP5W809n8RXGoEGDrrzyymnTpv34xz++4YYb7r33Xvn9N77xjTfeeAOAEGLmzJnf/73w+HwzJkzb7zxxm7tb8/A23vEpjpxDLg/u3FCITmtL3nw86wvdM9D9i24JRxhePlRiwLrFFwwkJ5e0kpIp6zt3gFWZxEgcqTlGtpCgNoCv4KCnhyCm8VRwCOPPLJ06dJdu3bddNNNQ4cOlV8+88wzAwYMAEAIeeCBB5yDg8Fg9/Sy56A6huv/Z/7zdHbs+d79bhI78RXj0in2MnYAACAASURBVKFk+BEHo2RxNJElQC2hLVUaWsBRiwLrFORprYeFOzymvXDC1yf3IUcSfG7nATrSaR0QIMvOzy7+LFrBlClTpkyZ4v5m3Lhxzv8nTJhw1HvUUxEzcfF7xlUj6Kl9es4zsc3o48M9E+j/W2YuPFfpQc/8LI45Kt6pCKp4t/nsz62iZylAbYHSBh/kJuEwpydPYy1UFGkVLeQBai/am8ooiyyy6BiqojjrHWN0Ablj/DG743yvnGoMD6/PGsJ6Eo7Z5dhZGFPQcQrTsxSgtqDjPkAdPTEFpJNMYFlkkcXRwYIKcdKrxqxS+vevH8vvHAR4cgp7cB3fWJvNDd1jkLUCdCGOVQWoAxaoJsugdgBWMdRja1azyOKYRJzjF6vMBRXi/6azr/U+9v9o+wfIH75Gr/zQXHGBcuz5OR2TyN6lLoRCyJF7q2QULAWo/WPqsO0sBZ1oAssiiyy6DnVxnPGWURvDmouUrwL7kbh0KC3PI/d9ko2J7xnowVvJ7t2733777RUrVhiG0d19aRr9Aig/tioFddgEdtYAis5QbjorCiyLLLLoOjTomPGWcXoJeXoqC3zFzAwPn8qe3iI+OZw1hPUA9NS1effddz/99NOTJk3avXt3KBT68MMPi4uLu7tTqTihkJww6Zgye1uJfNrPP/I0kM6g220phZFFFll0IwyOSz8wZvYn9044pp5+bUShBw+fSq9abK6+KGsIy3T01Pszd+7cHTt2zJ8/f+XKlf3793/ssce6u0dfFShtqJjRJNpVWbY5ZBWgLLLIcNy+xvQr5LcnfRXZj8SFg+jIfPL7ddmIsExHTyVAQ4YMcUoVFhcX98TCtj0UbUkY3SQ01gnExVKAjrSZLLLIokvw9h7x6pfiqdOOsfCPduOhU9gj6/nWuqwhLKPRU01gDtauXbtgwYL777+/5cMOHTq0Zs2am2++WX70er033XRTINAZJdTTEIvFhBCt1qHtdsRiMVVV23uWQmg8Fou1/3IqpXo83t4zUzppGgCoHo/RTGK8pmnG43F38fDMRMfueMegKErm/wlk0bk4EMEPlpn/nclyj9Iqy1z08eG+ifQHy8wPZmVr7mQuMpoATZ8+/eOPP0758tlnn73gggvk/7du3Tp79uwnn3xy4MCBLTelaVpOTo6Tz55SqqpqF+1Y1EZXNN6J6FgnFQrGOjI4jYK1/4IpnVSY/DezZlcIcQzf8SyyaAsEcNVi48Yx9MTi7I4PAFeNoC9s449v4sdY7bNjCRlNgD744AMhUiVEYjuS7Ny586yzzvrd73534YUXttpUbm5ueXn5dddd1/m9TINhGKqqZv7rr6qqHVKAdK0j50GlhqYyVW3fwzGlk6rCAdOjqRmlsFNKhRBHTVzpMDp2x7PIoi34/efcFPjpmOxmb4EAj09hk183z+hPhuZk0gMrCxuZvlhJGuT3e/bsOfPMM++5555LL720e3v4VUNQJR0LbdA6Y63JvErZZ0kWWWQUlh4Qj2zgz52erYSVhCE55NcT6ZUfmnrWHzojkekEqDncdddde/bsufvuu8vKysrKyn7+8593d4++KtgwR/F3SDfsFCdouxjqkbaTRRZZdBa21InLF5kvTGO9fd3dlczDVSPooCD5ycpMclrMwkZGm8BawCOPPPLHP/7R+ahpR1BgM4v2wNtRy55GOycTtNJTSXsWWRyD2FgrzltgPnQK/fqxWOa9U/DkFHbaG8bv1/Gfj80+vDILPZUABQKBLorhyqKLoHY0ft4NQvBVSyybRRaZCQE8t43ftpo/ciq9aFB2a28WPgVvna2c+bbREBe/OpFlBezMQXYzyeIo4XvldEDgSP/0GUEgG1WaxVHB+vXrn3jiCV3Xv/Od70yaNCn9gGXLlr3wwgs+n+/aa68dPnz40e/h0QQXqIujXhd1cewJY+0h8e8dvI8PC85mxxVk/yRbQS8vPjhXueJDY+bbxiOnslH52RnLCGQJUBZHCdeN6oR3RAIEsmFMWXQ99u7de9ppp915553BYPCcc85ZvHjxmDFj3AesWrXqoosu+v3vf19ZWTl58uT169dnYDWeDkDn+DIkdjRgZ4PYXi+212NHg9jXKP7/9u48oIkrfwD4mySQBAIk4TAkBILIJYhIpCK14n2AoCKI1HpQj7a21R5ad3v87NbW1q22Vbd1t9VqrdYVq1KPeuJVVECC4oUggqBcCQmEI+Se3x+vO5sCUkQJuPl+/pq8ecx8M5kM37x5702LAbmyCEcG4tojoSMxiEfsGEUf4gr/yLuKx0SHJzK2FpknHzNJ3Yg5/sR4EQ3as3sXHH7wNKHBLTBgFd99911CQsIbb7yBECotLd20aVOb5+1s2LDhzTffnD9/PkJIJpNt376914dimEhUpSFrNEilQw16kkCIzyI8WMjXiehk4ILOhPLqyGw5masgC5RkTSvpzSH6OxH9nZCfMzFGSEg4yJvT2RZAFxEILQykzRlAO3DP/EMxufC8IYhLRHkQUjcijE8EuHRzgC3oNjipn7y7d+8KBII+/nPQYDBcu3YtOjq6twP5EwUFBcOGDWMwfj9RCdQXE6D6+vqampo2LQR9kEwmi4mJ6e0ong55eXnUBGPPPvvsqlWr2lSQyWSLFi3Cy9HR0Tk5OT0XTJMB1WnJ2lak0JIKLVJqkUpHthhRq/H321J1WlTTilStDBHHJHBA7iwC3yhuNZlrW1FZE8miEwEuaIAzIXIkePaIIFC9DpU3k9dUZEkjGcYnnu1HpPoRayNpPk6P/8i+R6PT6W7cuBEVFWXd3T4BRUVFfn5+zs7Oj/RXTDqa5Ueb5YcMZvoVJZkjJ09Ukuuum+82kjwmIXJAbizCxR6x6YjLRBwGwWUiVyYSOBAeLOTGIlyZ3R8Igk8khRadvVwqDgxtMvxezrFDLvYEn4ncmMidTXAffUyR3oxUOlSnJeu0SKklG/TIRCKEEIOGXOwQn0W4MhGfiZztCWqWcK0JNeqRSkfWaZFKRzYakMb4+ypnO8RjEq4s5MFCfCbB+c+fVFVVEQTh4+PTzfffTt/7Z/L027Bhw8iRI+fMmdPbgXSmsLBw+fLlFy9e7O1A/sTbb7+9ZcsWKrdgM1A3vpw97ciRIxcvXuz7T+SNj49vbGzs7SieDgqFgsvl4mU+n19bW9umglwu77xCGyqVqqCgICIigirZvHlzSEgIQmhxtt3tRqLViLR/HCutJwmNkdSbCScGyWciNyYpYCM3JsmzR3x70ouJnO1IBzpytkN8JunBQrExUbt375ZIJB3sXU+UNBEljahGSyvTkAghnj3xLN+80JcMciYt/6G2NHfl8DxJOTk5a9as+eWXX6y948f2ySefJCcnx8XFdXsLA9looA9K+88/dLmWqGlFSh2hNiCNEbWaiEYDUdJC5uiIOh2q0xEKLaHSITNCTBrq+vNGdGai1fTfE4nLMF757d4sdgCHgexopJkkGg1IbSCUOqTUESo90aAj7WiIRUfsLoz5bTAgvZmwp5E8e+TGJF2ZJJ9JODJIDoNECLUYiWYjodKRKh1RryfUBqS3mBKJa4e4zN9PaQ6DdLEjCQLpzESzAdXrCaUOqXSESo+ajYQ9jXRgEK2NjgghFxc9/nMWHbEZKJxn3hhpbB8YjUZzcHDoPHhIgHpE+wms+xqSJPt+kKhdnM+4Ez+P63Mn7VNxJBFCZjNMx9ZVzs7OGo0GLzc3N1O5TtcrtMHn84OCgvbs2YNf2tnZeXl54ZldN45AjYY/nEIcxu93Q5ztUdcnPScIgs1mczic9qs4CHnz0ZiubsmqWCwWjUbrMOw+jk6ns1isJxg5h4P6d61mowGZzAgh1KDv7OpDnUhc5n9nIWlo0IS+vmTbFw8630WDHuFN1+s72AOdQM52BEKISUdWuD1qNKMmA/r737chut2i2W9YrnJj/beJ6FH1uf8lAHSu2xMRAdB1fn5+hYWFeLmwsNDPz6/DCvgmcocV2mMymdTjCC25sZAbC3oTg0dANf/wmD115lBt7T23i65j0BCPidiklmbWP8HnikCfKwAAaGv+/Pk7duwoKSmprq7+5ptvcGfn+vr6uXPn4oaftLS0jRs3KhSKmzdv7tmzZ+7cub0cMQDgERFPS+v9Y9qwYcPHH3/8BDtPdaKiosLJyYnH41lhX92m1WrLy8sDAwN7O5A/UVRU5OPjw2KxejuQzqhUqpaWFrFY3NuB/ImCgoLBgwdbZ198Pv/EiRPW2VcP+ec/nFF1+YTKaFCxf+9a9/RQgpFIqpU6eeOHGCw+GQJLlq1aodO3awWKx33333TxOgrKys2NjYgICAngsYN0Q9ddPit7S0VFdXDxgwoLcDeWRlZWV8Pt/FxaW3A3k0ZrP51q1bfX/QRns1NTUIIYFA0JXKDAbj5MmTTk5OndSxlQTIaDQWFhZaZ/JojUbDZDL7/tPgm5qaOj85+oKnIkiTyaTT6f60w12vs+bBZLPZnp6e1tnX0+LGjRs9epI8FV+WDj2lkbe0tLDZbBrt6buR8pQecJ1ORxBEF1N8BoPh7e3deR1bSYAAAAAAAChPX+oKAAAAAPCYIAECAAAAgM2BBAgAAAAANgcSIAAAAADYHEiAAAAAAGBz6B9++GFvx/C0MpvNeXl5t2/fZrFY1JDC1tbWrKysuro6oVBI/OepgmazOTc39+7du56entRzPa2jtbU1Nze3vLycz+czmUyq/Pr16zdu3ODz+ZZT7Ny/f/y5ct0Ov1P5/V/InQ6XUVFhb29veWwRo1G89tvvymVSk9PT8sDmJ2dXVZW5unpaTm/wM2bN69du8bj8dhsds/F+eDBg5aWFstRowqFIi8vTy6Xe3h4WMZz7969vLw8e3t7y+cjNjQ0ZGVlaTQaDw+PnguysbGxsrKSw+G0mX+BJMmysjIajUZ90FqtNisrSy6XtznCly9fvnPnjkAgsPIpCh5fUVHR1atXzWYzn89vv1Yul9fW1tbX19fX17e2tvbu+OeWlpasrCyVSiUUCjusoFQqL168qNPp3N3drRxbJzQazeXLl+/du8flcttPS2Y2m8vKyur/w87Oro/MxtTQ0FBVVYWjUqvVHV7Ym5qaLly40NDQ0HfmrTCZTPfu3au3wGaz21yX7t27p1Kp8FqCILo5VxwJukWhUERGRoaHh0+fPn3AgAG48P79+xKJJCEhQSqVTp061WQykSRpMBjGjx8/bNiwuLi4gICA2tpaqwV5584dsVg8bdq05ORkgUCQn5+Py5ctWxYQEJCcnOzp6XnlyhVcuHv3bk9Pz9TUVKFQuH379p6Obfbs2Q4ODkwmMz09nSosKysTi8XTp08PDw+fOXMmLtTpdDExMdHR0ZMmTRo4cKBSqcTl77zzzoABA2bOnCkQCHJzc3siyCNHjvD5fA6HM3bsWKpw8+bNAoEgLi5u+PDh/v7+FRUVuHzr1q1CoTA1NdXT03PPnj24UCaTCQSCmTNnBgQEvPXWWz0RJEmSYWFhHA6HIIji4uI2q7799ls6nb5+/Xr8sqqqys/Pb8qUKZGRkbGxsUajkSRJo9EYGxs7dOjQ+Ph4Pz+/6urqHooT9ITRo0eHhIQkJiaKxeK0tDSz2dymwgsvvODj4yOVSqVS6YIFC3olSOzu3btisTgxMTEsLCw1NbV9hQsXLvTr1y8lJaV/4ffPCB9SPskEwmc3NzGzt27OTJk93c3I4fP96mglqtJghC+h9Hjx7tlTjb+/TTT/v164ejGjVqVPsKhYWFQqFwxowZISEhvXtuWFIqldTBxA8MLiwsbFOHy+WGhYXhOtu2bevejiAB6qaXXnppyZIl+FpDXXHeeOONJUuWkCSp0+mCg4OPHTtGkuS+ffvCw8MNBgNJkvPnz3/vvfesFuQ777yTlpbWZrm4uJjH4+E04osvvoiPjydJ0mAweHl5nTt3jiTJ3NxcDw8PnU7Xo7EVFxdrtdqoqCjLBOjll1/GWUJra6ufn9/Zs2dJkty1a9ewYcPwv+pZs2atXr2aJMmysjIXFxe5XE6S5Ndffz1hwoSeCFIul9fU1Gzfvt0yASotLdVqtXg5NTX1jTfeIElSq9W6u7vn5eWRJHn27Flvb28ccFxc3JdffkmSpFKp5PP5JSUlPRHnrVu3jEYjm81ukwBVVlZGRkbGxcVRCdA777yzcOFCkiT1en1YWNjBgwdJkjx06FBISIherydJcvHixStWrOiJIEEPof431NfX83i8S5cutanwwgsvbNmyxepxdWDhwoX47NJoNBKJ5LfffmtTYdSoUd9++y1JkjU1Nc7Ozg8ePOiFKNtRKBQKhQIvb968OSIiok0FtVrNZDKtHtef+/TTT998881OKjz/POrVq0iSbKpqcnT05P6kdx3fP/9988880z7ci6XW1NT85gbhz5A3WEwGLZt27Zs2bJTp06dP3+eesj2kSNHkpKSEEL29vbx8fFHjhxBCB0+fHjatGm4+W7GjBmHDx+2Wpxubm5NTU14ubm5GTcpHzlyZPTo0bipfMaMGUePHjWZTAUFBXq9/rnnnkMIRUZGOjg4XL58uUdj8/f3t7wlh1EHkMVixcXFUQdw+vTp+M4OdQCPHj06YsQI/I5mzJhx6tQpnU73xIN0d3fv169fm0JfX18qck9PT7zfnJwcDocjlUoRQiNHjtRqtdevXzcajceOHcPviM/njxo16tdff33iQSKEgoODO5x5fNGiRWvWrLG8P0gdYTs7u4SEBOoIT5061c7ODln9FAWPLygoCC9wuVw2m63X69vXKSwszMjIuH37tnVDa4s6/dhsNvUFpzQ1NZ09exZX6Nev3/Dhw48fP947gf6Rm5ubm5sbXhYIBB0eYZIkjxw5cvLkyYaGButG9ycqKyv37dsnk8k6XEt9IhwOZ9KkSX3wu79169YFCxZ0uOr06dNHjx6Vy+Xd3jgkQN2B73q8+OKL+/fv/+CDD0aNGoW/ElVVVdSNbZFIVFVV9bBC61i6dCmdTo+IiIiKiiotLf3ggw9wPCKRCFcQCoUmk0kul+MgqR4hQqGwsrLSanFiZrO5pqamiwfQ8l3gjjjV1dVWDriiouLHH3/EX07LIAmC8PT0rKysrK2tNZvN1JNrhEKhNT/97du3i0SicePGWRZWVlb2qVMUPEFff/21u7v78OHD25Tz+fyKior9+/fHxMS8/fbbvRIbQshoNMrl8k7OtOrqahaLRT1FsVeuQp3T6XSrV69esmRJ+1UhISE/zz+vXrAwMDs7OzrR9bhxwcHDQazZEjR1JSUqZMmWI0Gi3XtrS0qNVq6hOx8gWqK4qKiq5cuTJz5sz2qwIDA48dO/btt98GBQUdOnSoe9uH3o7dYTabDQbD66+/npKSQpLkkCFD9u7dO3v2bIL476NFzGYzzic6LLSOgwcPXr9+fd26dfb29itXrty1a9dLL71kGQ9eIAjCshCXWzNOrE0YnR/AXg+4trZ20qRJH330EW716TCeNiFZM8jq6urPP/88KyurTXlfO0VBV7S0tPj6+rYvLy4uprq1Hj58eO3atadOncIteZY2bNiAF6qqqoKDg+fOnWu1Z+JawudVJ2dar3+pO2c0GmfPnh0SEvLSSy+1WeXs7Jyfn4+XP/88+XLl7f/6vWKpUuXLl26FCGk1WqHDBmyZ8+e2bNnU2vbfCJ97YAjhLZs2ZKcnNxh320qy/z3v/96quvxsfHd2P70ALUHbixBF9ECIIICwsrKytDf/zJQv2qFolEloVUu4UVfPPNN8uXL588efLYsWP/9re/bdq0qU08lZWVDAbD3d0d5/7UN6GystKacWIEQQgEgi4eQMvCmpoay4YWK6irqxs/fvzixYtffvllXGL50ZMkiePETVPUjyrL1peelpGRgYMcOnRoZmbml19+icd7tjmY7Y9wr3z0oHOOjo4POkL9Yzh+/Pgrr7zy66+/dv60eaFQGBgYeOfOHatE3RadTu/Xr1/704/i6emp1+uVSiV+2adORZPJNHfuXDqd/v3333f+9NPRo0cXFxdbLbAuYrFYw4cPb/PROzg4cLlcy+++1S5QXWE0Gnfu3Pmw+1+U0aNH379/v7W1tRu7gASoOxwdHcePH3/x4kWEkMFguHz5Mu6pnpCQsGfPHoSQVqv95ZdfEhISEELx8fEHDhzA98j27NmDC63Dzc2tpKQEL5eUlODb2HFxcWfOnFEoFAih9PT0KVOm0On0wYMHOzg4nD59GiF06dIlg8EQGRlptTgp1AHUaDSHDh2iDuD+/ftx4+2ePXtwph8bG5uVlVVTU4PfxaRJk9r3KOohDQ0NkyZNwt2fqcJhw4ZptVr8oyQzM9PJyWnQoEEMBiM2Nha/I4VCce7cuSlTplgnyNmzZ1+6dCk9PT09PT0qKmrevHmvvvoqsjjCer0+IyODOsK/PIL7syUnp5uzVMUdJF9R/CqU6dOpaWlZWRkhIaGUvXr6upOnTqFlxsbG/FCcXHxrVu38MWqV1CnX0tLy+HDh/GZVlVVdf78eYQQh8MZM2YMrlBVVZWTkzN58uTeCtWS2WxOS0trbW3duXOn5WBsmUyGU4rGxkbq1+OBAwcGDRrUO4G2Q330DQ0NZ86cwWeISqU6ceIELqc+EbVafezYsT713T906JCzs/OIESOoEjzvCUKoubnZZDLhwoyMjAEDBnRzJpTH7ERts/Lz8728vKZPnx4aGpqamopHvFdVVQUEBIwfPz40NDQlJQWPDjMajQkJCYMHDx4zZkxoaGhdXZ3VgiwoKPDy8powYcKUKVMEAgE15uIvf/mLRCKZMmWKl5fX9evXceG+ffsEAsG0adMEAsFPP/3U07Hhm0eOjo79+/eXSqWlpaUkSVZUVPTv33/ixIm4oR7X1Ov1EydOjIiIGDVq1JAhQ+rr63H5/3f/n4+MTHx4tEoh4avHDz5k2pVCqRSJycnKRS6eeff06S5MqVK5lMJjVK87XXXsOVd+7cSR3AAwcO4MKCggKRSBQfHy+RSHpuAOALL7wglUppNFpoaOiwYcParE1KSqJGgdXW1gYHB48dOzYsLCwxMRGftyaTKTExcdCgQePGjQsODrbmTA3g8fn4+AgEAuqExCP7Tpw4IRAIcAUulxsTEzNx4kQej/fZZ5/1Yqjl5eW+vr6TJk0KCgqiBqju3r07JCQEL+fm5gqFwoSEBG9v708++aT3Iv0D3Fl70KBB+Ag/++yzuHzatGkfffQRSZLfffedRCKJi4sbPHiwv78/dVHtdc8880xUVFRcXJy7u/uCBQvwv6Tz589zuVxc4c6dO97e3rGxsf7+/tSlrI+Ii4trc7ouXboUj9U/ceKEp6fn5MmTo6KiRCIRHi/cDX+45woeiUajyc/PFwqF/fv3pwoNBoNMJnN2dh44cKBl5evXr2s0GqlUauVZ5rRa7a1bt8xmc3BwsKOjI1VeVlb24MEDqVTq4OBAFSoUitu3bwcGBvbolH3UvqgRagghLy8v/ItWr9fLZDIej0eNbUEIkSR57do1nU4nlUothzuVl5dXVFRERERYvrUnSKfTWXbDdHFxcXV1VSqVarWaKmSz2dQEYrW1tcXFxcHBwdSYEYRQS0tLfn6+WCyWSCQ9ESRCqLKykhoERxBEm/4itbW1LBbLxcUFvzQajXl5eRwOx7LBACF048aN5ubmoUOHwkSIT5eKigrLzq3u7u5OTk46na6+vh7fF25ubi4sLDQajUFBQVQX496i0+lkMpmrq2tgYCAuaW1tbWpqoq45TU1NV69e9fHx8fb27r0w/0Cj0eDGZoz6iqlUKjs7Ozyx5L179yoqKvD76jvfIL1eX1hY2NjYOGDAAOoyhe8zUi+1Wq1MJvPw8PD39++9SDtQXl7u4eFh2bSjVqtJksR3fquqqkpLS52cnIKCgrrd/A8JEAAAAABsDvQBAgAAAIDNgQQIAAAAADYHEiAAAAAA2BxIgAAAAABgcyABAgAAAIDNgQQIAAAAADYHEiAAAAAA2BxIgP6X/fzzz/PmzeutvRcVFU2fPr28vLy3AnhMJ0+enDlzJkyUBYAtW7Ro0U8/dTbUYAeAQnQ/7Lbt2/jSdwRQmVlZUOHDpXJZD20r4MHDw4dOhQ/8gxTKpUZGRmWkyY/Xe7evbt3715IgACwZceOHbt582ZvRwF6BCRA/8vefPPNwsJCvIznO7d8+sSTVVdXJ5PJLNOFyMjImpqaNo8EAQAAAPqCvvLIEtATSktLCwsLZ86cWVdXl56ejhA6fPhwcXExQiglJQU/HOrBgwd79+6trq52c3NLSUnx8fHBf3vjxo3s7OwFCxZkZGTk5uZGR0fHx8fL5fLjx4/jJ8yHhITEx8fjB7XcunXr3LlzCKGtW7cyGAwWizV37tyGhobjx48nJCTgR7fgePbu3atUKoVC4fPPP089/efOnTtnzpxJS0vLzMw8f/68q6trcnLyw54EdPXq1atXr86dO3f/v15eXl4U9SztzIzMzUaDX5iPLZr166AgAD8cPvTp083NzePHTt2586dpaWl+EG2DAajoKAgIyODwWAkJiYGBwdb7s5sNu/bt08mk/H5/Dlz5lAP0KF2d/bsWZ1OFxERkZSURD0DKD09XSwW+/r67t69u6amZsWKFZZPBwMAWNPJkycbGxtnzJhBlZAkuW3btkGDBkVGRppMpkuXLl26dKmurk4sFo8ZM+ZhP9tOnDhhNBpjY2Opkh07dgwaNGjIkCH4pcFgOHDgQH5+Pp1OHz169Lhx43r0fYHH9RjPagV93erVq11dXUmSvHPnzvDhwxFCUql03Lhx48aNu3/PkmSBw4cYLPZwcHBKSkpISEhDg4OmZmZ+G+/+uorOzu71NRUiUQSGxuLn8zs7+8fFhaWnJyckJDg6OgYFhbW2NhIkuTBgwfxJWPMmDHjxo1LTEwkSfLChQsIoYKCArzBffv24zA0SAAACiNJREFU2dvbBwQEJCUleXl5cbnc7OxsvGrHjh0IoYULF/r5+U2dOlUkEnG53Dt37nT4ptasWePi4pKcnBwSEjJ16lRXV1eRSKRUKvHa1NTUmJgYy/peXl7vv/8+Xp49e/bgwYOHDBkyYsSICRMm0On0efPm7dq1y9PTMyEhwc/Pz9HRkQp48+bNCCF8ZGbNmiUSiVxdXW/cuIHXGgyGxMREOzu7CRMmJCYmOjs7P/vssxqNBq8NDAyMjY0VCATR0dGjR48uLi5+zI8SANBtX3/9NYPBqK6upkrw1Qlf7rZu3crj8SZOnJiamhoaGkqn03/88UeqppeX17vvvouXp0+fPnHiRMstu7q6fvzxx3hZLpeHh4e7uLhMmzZt8uTJDAZj8eLFPf7ewGOABOh/GZUAkSR569YthNCZM2eotdXV1Y6Ojq+++qrJZCJJ0mg0pqament7GwwGkiS/+uorhNCsWbPwS6ysrMxymcvlrl+/Hr/cunUrQkir1VIVLBOghoYGZ2fn2NhYnU6HXw4ePDggIADvGidASUlJer2eJEmVSuXm5vb66693+KbWrFmDEFq6dKnZbMZhMJnMtWvX4rV/mgAhhLZs2YJfrlu3jiCI8PBwnD9pNBofH5+0tDS8FidA8fHx+AgolcqAgABq42vXrmWz2ZcvX8YvS0tLnZ2dV69ejV8GBgbSaLRTp0497KMBAFhNQ0MDm82mLlYkSS5evNjHxwdff6qrq6mfLmazecmSJe7u7ngV+SgJUHJyskQiodKso0ePEgRx7Nixnnxn4LFAHyDblZ6ertVqP/nkExqNhhCi0+lvv/12RUUFvsOFffjhh9RtHYSQRCLR6/VlZWUymUypVIaEhFy9erUr+/rtt98aGxs/PBDe3t7hJCLi8vKlSuLi4uLioqoOu+/76dnR1CiMfjjR49GmdsD7Nq1SqCIHBIERERnVe2JBKJXnzxRbw8efJkkiTnz5/P5/MRQmw2e9SoUVSvKey9997DR4DP57/++uvnzp3D3bq/775OTkoUOH4mq+vr5JSUlnzpyh/nDMmDFjx47tYlQAgJ7j4uKSkJCwbds2/FKr1aanp8+fPx9f+gQCAZvNrquru3btWn5+fkREhEKhqKqqeqRdqNXq/fv3v/XWWwKBAJdMmjRp0KBBmZmZT/a9gCcI+gDZLpx8REREUCVGoxEhVFpaGhQUhBCi0Wh+fn6Wf/LNN9+sWrWqpaWFx+OxWCy5XM5isbqyr7t37yKEQkJCqJLQ0FCEUElJCdXnRiKRUGt5PF5paenDtubs7IxTFozL5TY0NHQlDISQt7c3zpwQQrgXlGVnIxcXlzabsuwShG/z3b17Nzw8vKSkRC6XWx4flUqFN4j5+/t3MSQAQE+bN29ebGzslStXhgwZsn/frVaPWfOHLyqvLz8xRdfPHPmDI/H43K5eChrVVWVl5dX17dfUlJiMpnWrFmD286x6upquA70ZZAA2S4ajcbhcHDnaEvUP3U6nW7Z/JOTk/Paa69t2rRp0aJFuCEnLi5Oq9V2ZV+4vsFgoEp0Oh1CyDJ/wr/Guhh5J2vJPw5ctxyZ3+HfWpZQuRGlk5hnzJjx8ssvW1bGLVgYk8nsJEgAgDVNnDhRLBb/8MMPQ4YM+eGHH0aOHEld6BYuXKhWq8vKyvAQkKysrOeee85sNne4nYddXvClY8WKFTExMZYVqCEgoA+CBMhW4BQEt/FggwcP/sc/sFms7s4Uj0nJ4fJZC5ZsgR/1fV6/ZUrV6gGEmr7Hf7jDwgIQAjl5uaOHz+e2hrqgWYSDw+P/Px86mVtba1CoXicDebl5U2cOBEvy2QyBoMhkUhoNFpYWFhJSYlUKn2scAEAVkGj0WbPnv3dd98tW7YsMzNzy5Yt1KpLly599NFH1ADY3Nzch23Ew8MjOzubelleXk5NLBIYGMhkMquqquCa8BSBPkC2QiQS2dvbZ2Zmtra24pJZs2Z5eXnNmzePutmkVqv/9a9/PWwLQqFQq9WePn0aIWQ0GpcvX15bW0ut9fX1RQgdP37cssmE8txzz0kkkpUrV8rlcoRQUVHRp59+OmrUKMvbXk9EZGRkUVHR0aNHEULNzc2vvPJK1xuWOvT+++/X1dUhhG7cuLFx48akpCQHBweE0IoVK86ePbt69Wrq/RYUFBw7duyx3wEAoEfMmzdPqVTOmTOHzWYnJSVR5UKh8OTJk7gtJz8/+9/vDthAZGXnt2jV8DVSr1UuWLKEuL46OjkuWLNm0adPevXtxidlszszMtPw9BvoaSIBsBYvF+vjjj7/88ksHBweCIIqLizkczvHjx3U6nb+/v6+vr1gs5vP569ate9gWpk2bNn78+AkTJgQHB7u5ud2+fXvKlCnU2ujo6FmzZiUlJdnb27ef88be3n7/v0qlcrLy8vPz2/gwIHu7u548NeTlZKSMmHChNjYWLFY7OrqGhIS0mbmnkeVmJgoFosDAgLCw8PFYvHGjRtxeWpq6vr169euXcvlcoOCgrhc7tChQ69fv/4k3gQA4MkLCgqKioq6cOFCUlISh8OhytetW3f+/HmhUBgQEDBmzJhly5Y9bAtz5swZOXLkuHHjvLy8PDw8oqOjeTwetfazzz5LS0tLTU3l8/lBQUGOjo5Tp07FP/lA30SQMNP/y6VSlVfX2/ZUVev19fU1BiNRrFYjDusmM1mmUx29+5dR0fH/v37U/2U1Wq1SqXC7ToUkiQvXbp0/59X1/fyMhIhUJhMpksMwyNRlNTU0On0318fLRabXl5uUQioW6K6XS6rKwshULh5eUVHR1N/Xhqbm6Wy+X41hIuqaur0+l0IpGo/ZtqaGhoaGiwbDqqqalBCFGDL8xmc05OTkVFRXh4eGBgYEVFBYfDwZ2m5XK50WgUCoW4ptForKioEAgEuFEHIaRUKjUajVgsRgg1NjbW1dX179+/pKREJpO5ubnFxMRYdorCwVy8eLGxsdHDwyM8PJzqmn3/n0HBwdXV9eufEwAAOtQKpVqtdrNzc3Z2dmyvLq6Ojs7m06njxgxgsPhPHjwQCQS4QsXnuGC+lFnMpmys7MfPHgQERHh7+9fXl7u4uJi2dGnqqoqNzcXX76kUimeKhb0TZAAAQAAAMDmwC0wAAAAANgcSIAAAAAAYHMgAQIAAACAzYEECAAAAAA2BxIgAAAAANgcSIAAAAAAYHMgAQIAAACAzYEECAAAAAA2BxIgAAAAANgcSIAAAAAAYHMgAQIAAACAzYEECAAAAAA2BxIgAAAAANgcSIAAAAAAYHMgAQIAAACAzYEECAAAAAA2BxIgAAAAANgcSIAAAAAAYHMgAQIAAACAzYEECAAAAAA2BxIgAAAAANgcSIAAAAAAYHMgAQIAAACAzYEECAAAAAA2BxIgAAAAANgcSIAAAAAAYHMgAQIAAACAzYEECAAAAAA2BxIgAAAAANic/wccsOAhK6yh1QAAAABJRU5ErkJggg== |
| name | twitter:creator | @Hong_Ge2 |
| name | twitter:site | @TuringLang |
| name | twitter:card | summary_large_image |
| property | og:title | The Turing Language |
| property | og:description | Turing.jl is a probabilistic programming language and Bayesian modelling framework for the Julia programming language. |
| property | og:image | https://turinglang.org/docs/assets/images/turing-text-logo.jpg |
| property | og:site_name | Turing.jl |
| property | og:image:alt | Turing.jl Logo |
| property | og:locale | en_GB |
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Семантические HTML-элементы страницы
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Проверяет наличие основных структурных элементов: nav, header, footer, main. Корректная семантическая структура помогает поисковику понять архитектуру страницы.
Структура документа корректна (теги <html> и <body> присутствуют в одном экземпляре).
Контент
Ошибок нет
Объём и качество текстового содержимого
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Анализирует объём полезного текста на странице. Слишком мало — страница может считаться малополезной. Слишком много — ухудшается читаемость и восприятие.
Слова из title 3 встречаются в тексте достаточно.
Абзацев с текстом 15 достаточно.
Среднее число слов в абзаце 30 достаточно.
Кол-во знаков контента 5478 на странице оптимально.
Кол-во слов 833 на странице оптимально.
Заголовки
Ошибок нет
Иерархия заголовков H1–H6
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H1 должен быть один и содержать ключевой запрос. H2–H6 описывают подразделы. Пропуск уровней (H1 → H3) и несколько H1 — типичные ошибки, снижающие понятность страницы для поисковика.
На странице присутствуют заголовки <h1> 1. Это прекрасно.
На странице присутствуют заголовки <h2> 1. Это хорошо.
На странице присутствуют заголовки <h3> 4.
Тошнота
3,87
Насколько одно слово доминирует в тексте
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Классическая тошнота = √(частота самого повторяющегося слова). Норма до 7–8: текст воспринимается естественно. Выше — поисковик может счесть страницу переспамленной.
Тошнота превышает норму 3. Измените текст страницы!
Академич. тошнота
15,97%
Насколько текст перенасыщен ключевыми словами
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Академическая тошнота = (частота слова / общее количество слов) × 100%. Показывает долю конкретного слова в тексте. Норма 5–15%.
Академическая тошнота превышает норму 5-15%. Измените текст страницы!
Семантическое ядро
20
Наиболее часто встречающиеся слова на странице
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Топ слов по частоте использования. Показывает, какие слова доминируют в тексте с точки зрения поисковика.
Контент страницы содержит осмысленный текст и слова.
Показать список слов
| Слово | Кол-во | Частота |
|---|---|---|
| turing | 15 | 1,80% |
| models | 8 | 0,96% |
| bayesian | 7 | 0,84% |
| versions | 6 | 0,72% |
| started | 5 | 0,60% |
| version | 5 | 0,60% |
| gaussian | 4 | 0,48% |
| regression | 4 | 0,48% |
| supported | 4 | 0,48% |
| platforms | 4 | 0,48% |
| install | 4 | 0,48% |
| function | 4 | 0,48% |
| tutorials | 3 | 0,36% |
| getting | 3 | 0,36% |
| functionality | 3 | 0,36% |
| distributions | 3 | 0,36% |
| sampler | 3 | 0,36% |
| inference | 3 | 0,36% |
| documentation | 3 | 0,36% |
| developers | 3 | 0,36% |
Индексация Готовность: 60%
Индексирование
Ошибок нет
Разрешено ли индексирование страницы
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Проверяет, не закрыта ли страница от индексации через robots.txt, meta robots или X-Robots-Tag. Страница, закрытая от индексации, не появится в поисковой выдаче.
Анкоров на странице 118 оптимально. Поисковые роботы обязательно проиндексируют сайт.
Robots.txt
Найден корректный robots.txt
Файл управления сканированием сайта роботами
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Robots.txt указывает поисковым роботам, какие страницы сканировать, а какие — нет. Ошибки в файле могут случайно закрыть важные разделы от индексации.
Robots.txt настроен корректно. Размер файла: 44 байт. Загружен за: 90мсек.
Проверяемая страница не запрещена в robots.txt.
Robots.txt доступен по постоянному адресу
Показать содержимое robots.txt
Sitemap: https://turinglang.org/sitemap.xml
Sitemap
Кол-во: 1
XML-карта сайта для поисковиков
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Sitemap.xml помогает поисковику быстрее находить и индексировать страницы. Особенно важен для крупных сайтов и новых страниц, на которые ещё нет входящих ссылок.
Robots.txt содержит карту сайта. Это прекрасно!
Robots.txt не содержит ошибок в карте сайта.
Показать карту сайта
| Url | Статус |
|---|---|
| https://turinglang.org/sitemap.xml |
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Внутренние ссылки
Кол-во: 69
Ссылки на другие страницы своего сайта
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Внутренние ссылки распределяют ссылочный вес между страницами и помогают поисковику обходить сайт. Пустые анкоры и ссылки на запрещённые robots.txt страницы — типичные ошибки.
Внутренних ссылок на странице 69 оптимально.
Внутренние ссылки не запрещены к индексации в robots.txt.
На странице присутствуют изображения 2.
Показать внутренние ссылки
| Url | Анкор | Состояние |
|---|---|---|
| /../getting-started/ |
<span class="menu-text">Get Started</span>
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| /../tutorials/ |
<span class="menu-text">Tutorials</span>
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| /../faq/ |
<span class="menu-text">FAQ</span>
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| /library/ |
<span class="menu-text">Libraries</span>
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| /news/ |
<span class="menu-text">News</span>
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| /team/ |
<span class="menu-text">Team</span>
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| /docs/changelog.html |
<span class="dropdown-text">Changelog</span>
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| /docs/versions.html |
<span class="dropdown-text">All Versions</span>
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| /../getting-started/index.html |
Getting Started
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| /../getting-started/index.html |
<span class="menu-text">Getting Started</span>
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| /../core-functionality/index.html |
<span class="menu-text">Core Functionality</span>
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| /../usage/automatic-differentiation/index.html |
<span class="menu-text">Automatic Differentiation</span>
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| /../usage/sampling-options/index.html |
<span class="menu-text">MCMC Sampling Options</span>
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| /../usage/submodels/index.html |
<span class="menu-text">Submodels</span>
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| /../usage/custom-distribution/index.html |
<span class="menu-text">Custom Distributions</span>
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| /../usage/probability-interface/index.html |
<span class="menu-text">Querying Model Probabilities</span>
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| /../usage/modifying-logprob/index.html |
<span class="menu-text">Modifying the Log Probability</span>
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| /../usage/external-likelihoods/index.html |
<span class="menu-text">External Likelihoods</span>
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| /../usage/tracking-extra-quantities/index.html |
<span class="menu-text">Tracking Extra Quantities</span>
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| /../usage/predictive-distributions/index.html |
<span class="menu-text">Predictive Distributions</span>
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| /../usage/mode-estimation/index.html |
<span class="menu-text">Mode Estimation</span>
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| /../usage/threadsafe-evaluation/index.html |
<span class="menu-text">Threadsafe Evaluation</span>
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| /../usage/performance-tips/index.html |
<span class="menu-text">Performance Tips</span>
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| /../usage/sampler-visualisation/index.html |
<span class="menu-text">Sampler Visualization</span>
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| /../usage/dynamichmc/index.html |
<span class="menu-text">Using DynamicHMC</span>
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| /../usage/varnamedtuple/index.html |
<span class="menu-text">VarNamedTuple</span>
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| /../usage/vectorisation/index.html |
<span class="menu-text">Vectorisation of Turing models</span>
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| /../usage/external-samplers/index.html |
<span class="menu-text">Using External Samplers</span>
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| /../usage/debugging/index.html |
<span class="menu-text">Debugging Models</span>
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| /../usage/troubleshooting/index.html |
<span class="menu-text">Troubleshooting</span>
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| /../tutorials/coin-flipping/index.html |
<span class="menu-text">Introduction: Coin Flipping</span>
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| /../tutorials/gaussian-mixture-models/index.html |
<span class="menu-text">Gaussian Mixture Models</span>
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| /../tutorials/bayesian-logistic-regression/index.html |
<span class="menu-text">Bayesian Logistic Regression</span>
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| /../tutorials/bayesian-neural-networks/index.html |
<span class="menu-text">Bayesian Neural Networks</span>
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| /../tutorials/hidden-markov-models/index.html |
<span class="menu-text">Hidden Markov Models</span>
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| /../tutorials/bayesian-linear-regression/index.html |
<span class="menu-text">Bayesian Linear Regression</span>
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| /../tutorials/infinite-mixture-models/index.html |
<span class="menu-text">Infinite Mixture Models</span>
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| /../tutorials/bayesian-poisson-regression/index.html |
<span class="menu-text">Bayesian Poisson Regression</span>
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| /../tutorials/multinomial-logistic-regression/index.html |
<span class="menu-text">Multinomial Logistic Regression</span>
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| /../tutorials/variational-inference/index.html |
<span class="menu-text">Variational Inference</span>
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| /../tutorials/bayesian-differential-equations/index.html |
<span class="menu-text">Bayesian Differential Equations</span>
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| /../tutorials/probabilistic-pca/index.html |
<span class="menu-text">Probabilistic PCA</span>
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| /../tutorials/bayesian-time-series-analysis/index.html |
<span class="menu-text">Bayesian Time Series Analysis</span>
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| /../tutorials/gaussian-processes-introduction/index.html |
<span class="menu-text">Gaussian Processes: Introduction</span>
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| /../tutorials/gaussian-process-latent-variable-models/index.html |
<span class="menu-text">Gaussian Process Latent Variable Models</span>
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| /../contributing/start-contributing/index.html |
<span class="menu-text">Start Contributing</span>
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| /../contributing/documentation/index.html |
<span class="menu-text">Documentation</span>
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| /../contributing/tests/index.html |
<span class="menu-text">Tests</span>
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| /../contributing/code-formatting/index.html |
<span class="menu-text">Code Formatting</span>
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| /../contributing/pull-requests/index.html |
<span class="menu-text">Pull Requests, Versions, and Releases</span>
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| /../contributing/core-developers/index.html |
<span class="menu-text">For Core Developers</span>
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| /../developers/contexts/submodel-condition/index.html |
<span class="menu-text">Conditioning and fixing in submodels</span>
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| /../developers/transforms/distributions/index.html |
<span class="menu-text">Distributions and the Jacobian</span>
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| /../developers/transforms/bijectors/index.html |
<span class="menu-text">Bijectors in MCMC</span>
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| /../developers/inference/variational-inference/index.html |
<span class="menu-text">Variational Inference</span>
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| /../developers/inference/implementing-samplers/index.html |
<span class="menu-text">Implementing Samplers</span>
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| /../faq/index.html |
<span class="menu-text">Frequently Asked Questions</span>
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| /index.ipynb |
<i class="bi bi-journal-code"></i>Download notebook
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| /../core-functionality |
Turing’s core functionality
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| /../tutorials/coin-flipping |
worked examples of how different models are implemented in Turing
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| /../usage/performance-tips |
specific tips and tricks that can help you get the most out of Turing
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| /../core-functionality/index.html |
<span class="nav-page-text">Core Functionality</span> <i class="bi bi-arrow-right-short"></i>
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| /docs/getting-started/ |
Get Started
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| /docs/tutorials/ |
Tutorials
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| /docs/faq/ |
FAQ
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| /library/ |
Libraries
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| /news/ |
News
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| /team/ |
Team
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| /team/ |
team
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Внешние ссылки
Кол-во: 23
Ссылки на сторонние сайты
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Исходящие внешние ссылки передают часть ссылочного веса на чужие сайты. Ссылки на авторитетные ресурсы безопасны; ссылки на мусорные сайты могут навредить репутации страницы.
Внешних ссылок на странице 23 слишком много. Спрячьте лишние ссылки в тег noindex или атрибут rel='nofollow'!
Показать внешние ссылки
| Url | Анкор |
|---|---|
| x.com |
<i class="bi bi-twitter-x"></i>
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| discourse.julialang.org |
<i class="bi bi-chat-dots"></i>
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| julialang.slack.com |
<i class="bi bi-slack"></i>
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| github.com |
<i class="bi bi-github"></i>
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| github.com |
<i class="bi bi-github"></i>Edit this page
|
| github.com |
<i class="bi empty"></i>Report an issue
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| colab.research.google.com |
<i class="bi bi-google"></i>Open in Colab
|
| julialang.org |
the official Julia website
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| github.com |
Julia General package registry
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| github.com |
post an issue
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| julialang.org |
Learning Julia
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| springer.com |
<em>Pattern Recognition and Machine Learning</em>
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| microsoft.com |
here (PDF, 18.1 MB)
|
| github.com |
<i class="bi bi-github"></i>Edit this page
|
| github.com |
<i class="bi empty"></i>Report an issue
|
| github.com |
<i class="bi bi-github"></i> GitHub
|
| x.com |
<i class="bi bi-twitter-x"></i> Twitter
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| julialang.slack.com |
<i class="bi bi-slack"></i> Slack
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| discourse.julialang.org |
<i class="bi bi-chat-dots"></i> Discourse
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| mlg.eng.cam.ac.uk |
Hong Ge
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| github.com |
contributors
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| github.com |
MIT License
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| github.com |
<i class="bi bi-github"></i> Website Source
|
Конкуренты Готовность: 0%
Конкуренты в Яндексе
Кол-во: 0
Топ сайтов-конкурентов в Яндексе
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Сайты, чаще всего появляющиеся в ТОПе Яндекса по запросам из семантического ядра этой страницы.
Мы не нашли у вас конкурентов в Яндексе. Сайт или очень молодой или плохо продвигается.
Конкурентов в ТОП-10 Яндекса не нашлось.
Конкуренты в Google
Кол-во: 0
Топ сайтов-конкурентов в Google
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Сайты, чаще всего появляющиеся в ТОПе Google по запросам из семантического ядра этой страницы.
Конкуренты в Google тоже не найдены. Займитесь продвижением сайта!
Конкурентов в ТОП-10 Google не нашлось.
ЗоЗПП: права потребителей Готовность: 100%
Нарушения
Не выявлены
Признаков дистанционной продажи товаров (интернет-магазина) не обнаружено — требования ЗоЗПП о раскрытии информации продавца к сайту не применяются. Нарушений нет.
ФЗ-149: рекомендательные технологии Готовность: 100%
Нарушения
Не выявлены
Рекомендательные блоки («с этим покупают», «похожие товары» и т.п.) на сайте не обнаружены — требования ст. 10.7 ФЗ-149 к сайту не применяются. Нарушений нет.
ФЗ-38: реклама Готовность: 100%
Нарушения
Не выявлены
Рекламных тематик с обязательными оговорками (медицина, БАД, кредиты и займы, новостройки) на сайте не обнаружено. Нарушений нет.
ФЗ-436: защита детей Готовность: 100%
Нарушения
Не выявлены
Признаков информационной продукции (новости, видео, книги, игры, курсы) не обнаружено — обязательная возрастная маркировка по ФЗ-436 сайту не требуется. Нарушений нет.
Вердикт
Страница https://turinglang.org/docs/getting-started/ готова к продвижению на 66%. Чтобы еще улучшить страницу и попасть на первые места поисковой выдачи необходимо:
Исправьте ошибки в мета-тегах.
Исправьте ошибки индексации.
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