{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`[БРД051.2] Предсказание вероятности отказа насоса`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Для решения задачи прогнозирования времени работы насосов по их характеристикам можно использовать не только классические методы машинного обучения, но и аппарат анализа выживаемости произвольных объектов, реализованный в библиотеках `lifelines` и `scikit-survival` для языка программирования `Python`.\n",
    "\n",
    "Данные модели и алгоритмы строят вероятностные модели, позволяющие получать распределение вероятностей выхода технологического оборудования (с заданными технологическими параметрами) из строя в определенный день."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Данную задачу можно решать несколькими подходами:\n",
    "1. использовать полупараметрические модели (модели, которые на основании второстепенных признаков строят прогнозы, в том числе с учетом образа вида распределения целевого признака);\n",
    "2. использовать параметрические модели (модели, которые полностью берут за основу вид распределения параметра, отвечающего за продолжительность работы устройства, и на его основе строят прогноз);\n",
    "3. использовать модели, основанные на алгоритмах машинного обучения.\n",
    "\n",
    "При этом эмпирические модели (Каплан-Мейер, Нельсон-Аален и модель кумулятивной опасности) не являются прогнозными, поскольку они исключительно позволяют визуализировать текущие исторические наблюдения и строить по ним аналитику."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Для того, чтобы решить поставленную задачу, необходимо обработать данные, а после с их помощью построить соответствующие модели и оценить каждую из них, чтобы отобрать наилучшую -- ту, которая строит вероятностный прогноз наиболее правдоподобно."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`Содержание ноутбука`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Table of contents**<a id='toc0_'></a>    \n",
    "- 1. [Раздел 1. Обработка входных данных и датасета](#toc1_)    \n",
    "  - 1.1. [Research](#toc1_1_)    \n",
    "    - 1.1.1. [Загрузка исходных данных](#toc1_1_1_)    \n",
    "    - 1.1.2. [Анализ типов данных и значений признаков](#toc1_1_2_)    \n",
    "      - 1.1.2.1. [Выделение фрагментов исходного датасета](#toc1_1_2_1_)    \n",
    "      - 1.1.2.2. [Анализ выделенных фрагментов](#toc1_1_2_2_)    \n",
    "      - 1.1.2.3. [Удаление строк с большой концентрацией пропусков](#toc1_1_2_3_)    \n",
    "    - 1.1.3. [Формирование обучающей и тестирующей выборок](#toc1_1_3_)    \n",
    "    - 1.1.4. [Обработка категориальных признаков](#toc1_1_4_)    \n",
    "      - 1.1.4.1. [Выделение фрагментов категориальных данных](#toc1_1_4_1_)    \n",
    "      - 1.1.4.2. [Кодирование категориальных данных](#toc1_1_4_2_)    \n",
    "    - 1.1.5. [Обработка вещественных признаков](#toc1_1_5_)    \n",
    "      - 1.1.5.1. [Выделение вещественного датасета](#toc1_1_5_1_)    \n",
    "      - 1.1.5.2. [Заполнение пропущенных значений в датасете](#toc1_1_5_2_)    \n",
    "        - 1.1.5.2.1. [Первичный анализ пропущенных значений](#toc1_1_5_2_1_)    \n",
    "        - 1.1.5.2.2. [Заполнение пропущенных значений методом MICE](#toc1_1_5_2_2_)    \n",
    "        - 1.1.5.2.3. [Заполнение пропущенных значений методом анализа распределений](#toc1_1_5_2_3_)    \n",
    "    - 1.1.6. [Формирование предобработанного датасета](#toc1_1_6_)    \n",
    "  - 1.2. [Production](#toc1_2_)    \n",
    "  - 1.3. [`Выводы по разделу`](#toc1_3_)    \n",
    "- 2. [Раздел 2. Генерация признаков](#toc2_)    \n",
    "  - 2.1. [Research](#toc2_1_)    \n",
    "    - 2.1.1. [Генерация сводной статистической таблицы численного датасета](#toc2_1_1_)    \n",
    "    - 2.1.2. [Применение скалирования к вещественным признакам](#toc2_1_2_)    \n",
    "      - 2.1.2.1. [Применение стандартизации к вещественным признакам](#toc2_1_2_1_)    \n",
    "      - 2.1.2.2. [Применение MinMax-преобразования к вещественным признакам](#toc2_1_2_2_)    \n",
    "    - 2.1.3. [Проверка наличия мультиколлинеарности в данных](#toc2_1_3_)    \n",
    "    - 2.1.4. [Генерация нового признакового пространства](#toc2_1_4_)    \n",
    "      - 2.1.4.1. [Понижение пространства для исходных данных](#toc2_1_4_1_)    \n",
    "      - 2.1.4.2. [Понижение пространства для стандартизированных данных](#toc2_1_4_2_)    \n",
    "      - 2.1.4.3. [Понижение пространства для данных после MinMax-преобразования](#toc2_1_4_3_)    \n",
    "    - 2.1.5. [Отбор признаков при помощи устранения мультиколлинеарности](#toc2_1_5_)    \n",
    "  - 2.2. [Production](#toc2_2_)    \n",
    "  - 2.3. [`Выводы по разделу`](#toc2_3_)    \n",
    "- 3. [Раздел 3. Обучение ML-моделей](#toc3_)    \n",
    "  - 3.1. [Research](#toc3_1_)    \n",
    "    - 3.1.1. [Построение параметрических моделей](#toc3_1_1_)    \n",
    "      - 3.1.1.1. [Формирование вариационного ряда](#toc3_1_1_1_)    \n",
    "      - 3.1.1.2. [Проверка ряда на экспоненциальное распределение](#toc3_1_1_2_)    \n",
    "      - 3.1.1.3. [Проверка ряда на распределение Вейбулла](#toc3_1_1_3_)    \n",
    "  - 3.2. [Production](#toc3_2_)    \n",
    "    - 3.2.1. [Модель пропорциональной опасности Кокса](#toc3_2_1_)    \n",
    "    - 3.2.2. [Аддитивная модель Аалена](#toc3_2_2_)    \n",
    "    - 3.2.3. [Модели ML для решения задачи анализа выживаемости](#toc3_2_3_)    \n",
    "  - 3.3. [`Выводы по разделу`](#toc3_3_)    \n",
    "- 4. [Раздел 4. Кросс-валидация и подбор гиперпараметров](#toc4_)    \n",
    "  - 4.1. [Production](#toc4_1_)    \n",
    "    - 4.1.1. [Обучение статистических моделей на данных после PCA](#toc4_1_1_)    \n",
    "      - 4.1.1.1. [Обучение модели Кокса](#toc4_1_1_1_)    \n",
    "        - 4.1.1.1.1. [Обучение на классическом датасете](#toc4_1_1_1_1_)    \n",
    "        - 4.1.1.1.2. [Обучение на стандартизированном датасете](#toc4_1_1_1_2_)    \n",
    "        - 4.1.1.1.3. [Обучение на датасете с MinMax-преобразованием](#toc4_1_1_1_3_)    \n",
    "      - 4.1.1.2. [Обучение аддитивной модели Аалена](#toc4_1_1_2_)    \n",
    "        - 4.1.1.2.1. [Обучение на классическом датасете](#toc4_1_1_2_1_)    \n",
    "        - 4.1.1.2.2. [Обучение на стандартизированном датасете](#toc4_1_1_2_2_)    \n",
    "        - 4.1.1.2.3. [Обучение на датасете с MinMax-преобразованием](#toc4_1_1_2_3_)    \n",
    "    - 4.1.2. [Обучение статистических моделей на данных после ручного отбора признаков](#toc4_1_2_)    \n",
    "      - 4.1.2.1. [Обучение модели Кокса](#toc4_1_2_1_)    \n",
    "        - 4.1.2.1.1. [Обучение на классическом датасете](#toc4_1_2_1_1_)    \n",
    "        - 4.1.2.1.2. [Обучение на стандартизированном датасете](#toc4_1_2_1_2_)    \n",
    "        - 4.1.2.1.3. [Обучение на датасете с MinMax-преобразованием](#toc4_1_2_1_3_)    \n",
    "      - 4.1.2.2. [Обучение аддитивной модели Аалена](#toc4_1_2_2_)    \n",
    "        - 4.1.2.2.1. [Обучение на классическом датасете](#toc4_1_2_2_1_)    \n",
    "        - 4.1.2.2.2. [Обучение на стандартизированном датасете](#toc4_1_2_2_2_)    \n",
    "        - 4.1.2.2.3. [Обучение на датасете с MinMax-преобразованием](#toc4_1_2_2_3_)    \n",
    "    - 4.1.3. [Исследование лучшей статистической модели](#toc4_1_3_)    \n",
    "      - 4.1.3.1. [Исследование модели, обученной на данных PCA](#toc4_1_3_1_)    \n",
    "      - 4.1.3.2. [Исследование моделей, обученных на исходных даннах](#toc4_1_3_2_)    \n",
    "        - 4.1.3.2.1. [Метод отбрасывания нарушающих условие признаков](#toc4_1_3_2_1_)    \n",
    "        - 4.1.3.2.2. [Метод генерации сплайн-признаков для столбцов, нарушающих предположение](#toc4_1_3_2_2_)    \n",
    "        - 4.1.3.2.3. [Метод отбрасывания категориальных признаков](#toc4_1_3_2_3_)    \n",
    "    - 4.1.4. [Обучение ML-моделей выживаемости](#toc4_1_4_)    \n",
    "      - 4.1.4.1. [Обучение на данных после PCA](#toc4_1_4_1_)    \n",
    "        - 4.1.4.1.1. [Обучение на классическом датасете](#toc4_1_4_1_1_)    \n",
    "        - 4.1.4.1.2. [Обучение на стандартизированном датасете](#toc4_1_4_1_2_)    \n",
    "        - 4.1.4.1.3. [Обучение на датасете с MinMax-преобразованием](#toc4_1_4_1_3_)    \n",
    "      - 4.1.4.2. [Обучение на данных после ручного отбора признаков и кодирования категориальных](#toc4_1_4_2_)    \n",
    "        - 4.1.4.2.1. [Обучение на классическом датасете](#toc4_1_4_2_1_)    \n",
    "        - 4.1.4.2.2. [Обучение на стандартизированном датасете](#toc4_1_4_2_2_)    \n",
    "        - 4.1.4.2.3. [Обучение на датасете с MinMax-преобразованием](#toc4_1_4_2_3_)    \n",
    "  - 4.2. [`Выводы по разделу`](#toc4_2_)    \n",
    "- 5. [Раздел 5. Предсказание на новых данных](#toc5_)    \n",
    "  - 5.1. [Production](#toc5_1_)    \n",
    "    - 5.1.1. [Вычисление метрики IBS](#toc5_1_1_)    \n",
    "    - 5.1.2. [Вычисление метрики AUC(t)](#toc5_1_2_)    \n",
    "  - 5.2. [`Выводы по разделу`](#toc5_2_)    \n",
    "- 6. [`Выводы по исследованию`](#toc6_)    \n",
    "\n",
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   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`Структура ноутбука`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Каждый раздел состоит из двух частей:\n",
    " - `research (необязательная)` — включает в себя вспомогательные исследования, тесты, визуализации, диаграммы и аналитические выкладки, используемые в процессе работы;\n",
    " - `production (обязательная)` — содержит финальный, чистый и воспроизводимый код, который используется для запуска и проверки.\n",
    "\n",
    "При этом:\n",
    "1. research-часть не обязательна и может отсутствовать в некоторых разделах;\n",
    "2. production-часть не содержит закомментированный код и ветки решений, которые не используются в ходе решения;\n",
    "3. код в Production-части должен быть оформлен с принципами воспроизводимости и чистоты, избежания лишних промежуточных вычислений и отладочных выводов, и **он будет использоваться для переноса в PY-файлы в будущем**.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`Работа в рамках устранения замечаний по валидации`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Данная работа проходит повторную валидацию. В отчете были выявлены следующие проблемы:\n",
    "\n",
    "| TODO                                                                                                                                   | Приоритет        | Комментарий                                                                                                                                                                                                                                                                                                                                             |\n",
    "| -------------------------------------------------------------------------------------------------------------------------------------- | ---------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n",
    "| В столбце \"Мероприятия остановок\" потенциально можно объеденить разные названия                                                        | Важность низкая  | Для примера в списке уникальных мероприятий 32 с типом содержащем \"Исследования\"                                                                                                                                                                                                                                                                        |\n",
    "| Лучше для test отобрать чуть больше значений (хотя бы 5% от выборки)                                                                   | Важность низкая  |                                                                                                                                                                                                                                                                                                                                                         |\n",
    "| По описанию \"Признак отказа - Булевый признак, указывающий, был ли насос выведен из работы из-за поломки\"                              | Важность высокая | Точно ли living_id имеет Признак отказа = 1, а death_id имеет Признак отказа = 0, а не наоборот?                                                                                                                                                                                                                                                        |\n",
    "| При использовании медианы качество будет лучше                                                                                         | Важность средняя | Лучше выводить графики (до того как заполнять и смотреть распределения) и смотреть глазами                                                                                                                                                                                                                                                              |\n",
    "| При использовании скользящего окна (усредненее 2 значений до, 2 значений после искомого) может быть еще лучше                          | Важность средняя |                                                                                                                                                                                                                                                                                                                                                         |\n",
    "| (Для оптимизации) для заполнения пропусков можно использовать MICE, он позволяет перебирать модели для заполнения                      | Важность низкая  |                                                                                                                                                                                                                                                                                                                                                         |\n",
    "| Надо сделать финальную проверку модели Кокса                                                                                           | Важность высокая | Проверка пропорциональности рисков + Анализа остатков модели                                                                                                                                                                                                                                                                                            |\n",
    "| Из отчета ниже видно, что модель имеет нарушения предположения пропорциональности рисков для нескольких переменных                     | Важность высокая | Влияние этих переменных на риск изменяется со временем, что требует корректировки модели<br>Например, для категориальных переменных (Группа по кол-ву циклов ПКВ, year) можно использовать strata в fit()<br>Для непрерывных переменных (Pзаб, Минуты вращения насоса) можно использовать логарифмические преобразования (необходимо подробнее изучить) |\n",
    "| Также из отчета ниже proportional_hazard_test можное увидеть несоблюдение пропорциональности рисков (по тем же переменным, что и выше) | Важность высокая |                                                                                                                                                                                                                                                                                                                                                         |\n",
    "| Также необходимо провести анализа остатков модели                                                                                      | Важность высокая |                                                                                                                                                                                                                                                                                                                                                         |"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "В результате мероприятий по устранению замечаний были выполнены следующие действия:\n",
    "1. с заказчиком был проработан вопрос семантики признаков для того, чтобы установить, требуется ли кодировать \"Мероприятия остановок\";\n",
    "2. был собран новый датасет, который включает как объекты, вышедшие из строя, так и те, что еще работают по сей день, с целью увеличения обучающей выборки и формирования тестовой для проверки метрик качества;\n",
    "3. была исправлена ошибка, в результате которой значения \"Признака отказа\" были перепутаны;\n",
    "4. при заполнении пропусков была исследована медиана при помощи анализа распределений и KL-дивергенции;\n",
    "5. приведена аргументация, почему применение методов скользящего окна и алгоритма MICE для заполнения пропусков не подходит для данной задачи;\n",
    "6. была выполнена итоговая проверка модели Кокса, в результате которой было принято решение использовать методы машинного обучения для построения моделей выживаемости, поскольку важные статистические свойства, такие как пропорциональность рисков, не выполняются на исходном датасете, а метрики качества на преобразованных данных сильно хуже (соответственно, был добавлен новый раздел с построением ML-моделей выживаемости и вычисления метрик качества)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`Формирование окружения для работы`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Первоначально необходимо подготовить окружение для работы с данными и их моделирования. Чтобы не возникало конфликтов виртуальной среды Python, зафиксируем используемые в ходе исследования версии основных библиотек и фреймворков, которые будут использоваться далее. А также пропишем последовательность команд для формирования среды."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Работа справедлива для версии `Python3.9+` (выполнялась на платформе N1)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Первоначально установим необходимые библиотеки при помощи пакетного менеджера `pip` в виртуальное окружение."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Также зафиксируем версии библиотек далее."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Данные библиотеки можно установить, поместив их вместе с версиями в файл `requirements.txt`. И выполнимв команду ниже."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting category-encoders==2.6.4\n",
      "  Using cached category_encoders-2.6.4-py2.py3-none-any.whl (82 kB)\n",
      "Collecting ipykernel==6.29.5\n",
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      "Using legacy 'setup.py install' for autograd-gamma, since package 'wheel' is not installed.\n",
      "Installing collected packages: wcwidth, pywin32, pytz, pure-eval, fastjsonschema, zipp, wrapt, tzdata, typing-extensions, traitlets, tornado, threadpoolctl, six, rpds-py, pyzmq, pyparsing, pygments, psutil, prompt-toolkit, platformdirs, pillow, parso, packaging, numpy, nest-asyncio, narwhals, kiwisolver, joblib, interface-meta, fonttools, executing, decorator, debugpy, cycler, comm, colorama, attrs, asttokens, tqdm, stack-data, scipy, referencing, python-dateutil, patsy, matplotlib-inline, jupyter-core, jedi, importlib-resources, importlib-metadata, exceptiongroup, contourpy, autograd, scikit-learn, pandas, matplotlib, jupyter-client, jsonschema-specifications, ipython, autograd-gamma, statsmodels, seaborn, jsonschema, ipykernel, formulaic, nbformat, missingno, lifelines, category-encoders\n",
      "  Attempting uninstall: wcwidth\n",
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      "  Attempting uninstall: tornado\n",
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      "    Uninstalling tornado-6.5.2:\n",
      "      Successfully uninstalled tornado-6.5.2\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ERROR: Could not install packages due to an OSError: [WinError 5] Отказано в доступе: 'C:\\\\Users\\\\bugae\\\\Desktop\\\\code\\\\gpn\\\\BRD 51.2\\\\venv\\\\Lib\\\\site-packages\\\\~%rnado\\\\speedups.pyd'\n",
      "Check the permissions.\n",
      "\n",
      "WARNING: You are using pip version 22.0.4; however, version 25.2 is available.\n",
      "You should consider upgrading via the 'C:\\Users\\bugae\\Desktop\\code\\gpn\\BRD 51.2\\venv\\Scripts\\python.exe -m pip install --upgrade pip' command.\n"
     ]
    }
   ],
   "source": [
    "!pip install --upgrade --force-reinstall -r requirements.txt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Средствами Python импортируем необходимые для работы библиотеки. В силу традиции, присвоим некоторым модулям псевдонимы (например, pd для pandas и т.д.). Роль импортируемых библиотек и фреймворков представлена в таблице. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "| Наименование библиотеки | Описание                                                                             |\n",
    "| ----------------------- | ------------------------------------------------------------------------------------ |\n",
    "| matplotlib              | Библиотека для визуализации данных                                                   |\n",
    "| pandas                  | Библиотека для работы таблицами и плоскими данными                                   |\n",
    "| numpy                   | Библиотека для работы с массивами и матрицами                                        |\n",
    "| scikit-learn            | Библиотека для построения классических моделей машинного обучения и работы с данными |\n",
    "| scipy                   | Библиотека для работы со статистическими объектами                                   |\n",
    "| missingno               | Библиотека для визуализации пропусков в данных                                       |\n",
    "| seaborn                 | Библиотека для визуализации данных                                                   |\n",
    "| lifelines               | Библиотека для обучения и построения статистических моделей выживаемости             |\n",
    "| category_encoders       | Библиотека для кодирования категориальных признаков в вещественные значения          |\n",
    "| typing                  | Библиотека для типизации парамеров функций и переменных                              |\n",
    "| warnings                | Библиотека для корректировки выводов предупреждений                                  |\n",
    "| scikit-survival         | Библиотека для построения моделей выживаемости, основанных на методах ML             |\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\bugae\\AppData\\Local\\Temp\\ipykernel_2700\\2264238624.py:1: DeprecationWarning: \n",
      "Pyarrow will become a required dependency of pandas in the next major release of pandas (pandas 3.0),\n",
      "(to allow more performant data types, such as the Arrow string type, and better interoperability with other libraries)\n",
      "but was not found to be installed on your system.\n",
      "If this would cause problems for you,\n",
      "please provide us feedback at https://github.com/pandas-dev/pandas/issues/54466\n",
      "        \n",
      "  import pandas as pd\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import typing as t"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Для воспроизводимости результатов исследования зафиксируем основание генератора случайных чисел, который используется для деления выборки на обучение и тест, а также при обучении моделей."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "seed = 5\n",
    "np.random.seed(seed)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. <a id='toc1_'></a>[Раздел 1. Обработка входных данных и датасета](#toc0_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Исходный набор данных представляет из себя набор технологических параметров добывающего оборудования, полученный путем агрегации исторических наблюдений, в котором необходимо предсказать  распределение вероятностей выхода из строя по дням для данного объекта."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "| **№** | **Признак** | **Описание** | **Тип данных признака** |\n",
    "|---|---|---|---|\n",
    "| **1** | Скважина | Уникальный номер скважины | Категориальный |\n",
    "| **2** | Сборка | Наименование технологической сборки | Категориальный |\n",
    "| **3** | Эра.Дата монтажа | Дата (ДД.ММ.ГГГГ), когда был произведен монтаж насоса | Агрегат данных (дата) |\n",
    "| **4** | Дней в работе | Количествово дней, сколько насос проработал до демонтажа | Целочисленный |\n",
    "| **5** | Кол-во циклов ПКВ | Количество циклов ПКВ, которые были осущетслены за время работы оборудования | Целочисленный |\n",
    "| **6** | Кол-во циклов ПКВ/Дней в работе | Среднее количество циклов ПКВ в 1 день | Вещественный |\n",
    "| **7** | sborka_id | Уникальный номер технологической сборки | Категориальный |\n",
    "| **8** | well_id | Сцепка идентификатора скважины и даты | Категориальный |\n",
    "| **9** | Причины остановок новые | Мероприятие остановки по УСОИ за время работы насоса | Категориальный |\n",
    "| **10** | Bн [м3/м3] ТР | Удельный расход электроэнергии на одну тонну добытой жидкости | Вещественный |\n",
    "| **11** | Признак отказа | Булевый признак, указывающий, был ли насос выведен из работы из-за поломки | Логический (0 или 1) |\n",
    "| **12** | Режим гр-ка | Режимы работы скважины за время работы насоса | Категориальный |\n",
    "| **13** | Группа | Наиболее частый режим работы скважины за время работы насоса | Категориальный |\n",
    "| **14** | Группа ПКВ | Наиболее частый режим работы скважины ПКВ | Категориальный |\n",
    "| **15** | УРЭ [кВтч/т] | Удельный расход электроэнергии на одну тонну добытой жидкости | Вещественный |\n",
    "| **16** | УРЭ К [кВтч/т] | Удельный расход электроэнергии на одну тонну добытой жидкости с контроллера станции управления | Вещественный |\n",
    "| **17** | Э/э (Wакт) [кВт*ч] | Электроэнергия расчетная от максимальной за сутки активной мощности | Вещественный |\n",
    "| **18** | Э/э реакт. (ТМ) | Реактивная электроэнергия со счетчика станции управления | Вещественный |\n",
    "| **19** | Э/э счет. (ТМ) [Вт] | Активная электроэнергия со счетчика станции управления | Вещественный |\n",
    "| **21** | Номинальный дебит сборки [м3/сут] | Номинальный дебит сборки за время работы | Вещественный |\n",
    "| **22** | Номинальный напор сборки [м] | Номинальный напор сборки за время работы | Вещественный |\n",
    "| **23** | Номинальная мощность сборки [кВт] | Номинальная мощность сборки за время работы | Вещественный |\n",
    "| **24** | Тип ствола | Код типа ствола (справочник OIS) | Категориальный |\n",
    "| **25** | Qж OIS протяжка медиана [м3/сут] | Медианный дебит жидкости, подтвержденный в ОИС и протянутый на каждый день в работе | Вещественный |\n",
    "| **26** | Qж OIS протяжка среднее [м3/сут] | Средний дебит жидкости, подтвержденный в ОИС и протянутый на каждый день в работе | Вещественный |\n",
    "| **27** | Qж OIS протяжка ст. откл-е [м3/сут] | Среднеквадратическое отклонение дебита жидкости, подтвержденное в ОИС и протянутое на каждый день в работе | Вещественный |\n",
    "| **28** | Qн OIS протяжка медиана [тн/сут] | Медианный дебит жидкости, подтвержденный в ОИС и протянутый на каждый день в работе | Вещественный |\n",
    "| **29** | Qн OIS протяжка среднее [тн/сут] | Средний дебит жидкости, подтвержденный в ОИС и протянутый на каждый день в работе | Вещественный |\n",
    "| **30** | Qн OIS протяжка ст. откл-е [тн/сут] | Среднеквадратическое отклонение дебита жидкости, подтвержденное в ОИС и протянутое на каждый день в работе | Вещественный |\n",
    "| **31** | Обв-ть V OIS протяжка медиана [%] | Медианная обводненность, подтвержденная в ОИС и протянутая на каждый день в работе | Вещественный |\n",
    "| **32** | Обв-ть V OIS протяжка среднее [%] | Средняя обводненность, подтвержденная в ОИС и протянутая на каждый день в работе | Вещественный |\n",
    "| **33** | Обв-ть V OIS протяжка ст. откл-е [%] | Среднеквадратическое отклонение обводненности, подтвержденное в ОИС и протянутое на каждый день в работе | Вещественный |\n",
    "| **34** | Pзаб медиана [ат] | Медианное забойное давление | Вещественный |\n",
    "| **35** | Pзаб среднее [ат] | Среднее забойное давление | Вещественный |\n",
    "| **36** | Pзаб ст. откл-е [ат] | Среднеквадратическое отклонение забойного давления | Вещественный |\n",
    "| **37** | Pпл медиана [ат] | Медианное значение пластового давления | Вещественный |\n",
    "| **38** | Pпласт среднее [ат] | Среднее значение пластового давления | Вещественный |\n",
    "| **39** | Pпласт ст. откл-е [ат] | Среднеквадратическое отклонение пластового давления | Вещественный |\n",
    "| **40** | Глубина насоса [м] | Глубина насоса в матрах | Вещественный |\n",
    "| **41** | Дата начала экспл-ии | Дата (ДД.ММ.ГГГГ) начала эксплуатации насоса | Агрегат данных (дата) |\n",
    "| **42** | Кол-во пластов | Количество эксплуатируемых пластов | Целочисленный |\n",
    "| **43** | Hдин медиана [м] | Динамический уровень жидкости в скважине медиана | Вещественный |\n",
    "| **44** | Hдин среднее [м] | Динамический уровень жидкости в скважине среднее | Вещественный |\n",
    "| **45** | Hдин ст. откл-е [м] | Динамический уровень жидкости в скважине ст. откл-е | Вещественный |\n",
    "| **46** | Mн [сПз] ТР | ? | Вещественный |\n",
    "| **47** | Pбуф медиана [атм] | Буферное давление медиана | Вещественный |\n",
    "| **48** | Pбуф среднее [атм] | Буферное давление среднее | Вещественный |\n",
    "| **49** | Pбуф ст. откл-е [атм] | Буферное давление ст. откл-е | Вещественный |\n",
    "| **50** | Pлин медиана [атм] | Давление после штуцера медиана | Вещественный |\n",
    "| **51** | Pлин среднее [атм] | Давление после штуцера среднее  | Вещественный |\n",
    "| **52** | Pлин ст. откл-е [атм] | Давление после штуцера ст. откл-е | Вещественный  |\n",
    "| **53** | Pнас-я [ат] ТР | Давление насыщения | Вещественный |\n",
    "| **54** | Tпл [град Ц] ТР |Пластовая температура | Вещественный |\n",
    "| **55** | pв [г/см3] ТР | Давление вытеснения | Вещественный |\n",
    "| **56** | Каталог ЭЦН. Производитель | Уникальный номер производителя по перчню ЭЦН | Категориальный |\n",
    "| **57** | Диаметр ЭЦН [мм] | Значение диаметра ЭЦН | Вещественный |\n",
    "| **58** | Fитог среднее [Гц] | Итоговая частота вращения среднее | Вещественный |\n",
    "| **59** | Fитог ст. откл-е [Гц] | Итоговая частота вращения ст. откл-е | Вещественный |\n",
    "| **60** | Fитог медиана [Гц] | Итоговая частота вращения медиана | Вещественный |\n",
    "| **61** | pн [г/см3] ТР | Кислотность | Вещественный |\n",
    "| **62** | Гф [м3/тн] МЭР |Газовый фактор | Вещественный |\n",
    "| **63** | Минуты вращения насоса | Число минут вращения настса | Целочисленный |\n",
    "| **64** | Сутки вращения насоса | Число суток вращения насоса | Целочисленный |\n",
    "| **65** | Типоразмер ЭЦН | Габариты электроприводного центробежного насоса | Категориальный |\n",
    "| **66** | Энергоэффективность ЭЦН |Энергоэффективность электроприводного центробежного насоса | Категориальный |\n",
    "| **67** | dL динамика [м] ТР | Значение удлинения ствола динамика в метрах | Вещественный |\n",
    "| **68** | L насос [м] ТР | Значение длины нососа в матрах | Вещественный |\n",
    "| **69** | dL насос [м] ТР | Значение удлинения ствола насоса в метрах | Вещественный |\n",
    "| **70** | H насос [м] ТР | Значение напора насоса | Вещественный |\n",
    "| **71** | L вдп [м] ТР | Значение длина системы волоподачи в метрах | Вещественный |\n",
    "| **72** | dL вдп [м] ТР | Значение удлинения ствола системы водоподачи в метрах | Вещественный |\n",
    "| **73** | H вдп [м] ТР | Значение напора системы водоподачи | Вещественный |\n",
    "| **74** | dH вдп-насос [м] ТР | Значение расширения напора насоса системы водоподачи | Вещественный |\n",
    "| **75** | dL вдп-насос ТР | Значение удлинения ствола насоса системы водоподачи | Вещественный |\n",
    "| **76** | D колонны внутренний [мм] ТР | Диаметр внутренней колонны в милиметрах | Вещественный |\n",
    "| **77** | D нкт внутренний [мм] ТР | Диаметр внутренней насосно-компрессорной трубы в милиметрах | Вещественный |\n",
    "| **78** | L нкт [м] НКТ | Длина насосно-компрессорной трубы в милиметрах | Вещественный |\n",
    "| **79** | D нкт внешний min [мм] НКТ | Минимальный диаметр внешней насосно-компрессорной трубы в милиметрах | Вещественный |\n",
    "| **80** | D нкт внутренний min [мм] НКТ | Минимальный диаметр внутренней насосно-компрессорной трубы в милиметрах | Вещественный |\n",
    "| **81** | Qж мгн медиана [м3/сут] | Мгновенный медианный дебит нефти | Вещественный |\n",
    "| **82** | Qж мгн среднее [м3/сут] | Мгновенный средний дебит нефти | Вещественный |\n",
    "| **83** | Qж мгн ст. откл-е [м3/сут] | Мгновенное среднеквадратическое отклонение дебита нефти | Вещественный |\n",
    "| **84** | К подачи на устье по среднему | Среднее количество вещества, подаваемого на устье установки | Вещественный |\n",
    "| **85** | Эра.Дата демонтажа | Дата (ДД.ММ.ГГГГ), когда был произведен демонтаж насоса | Агрегат данных (дата) |\n",
    "| **86** | Дата первой работы сборки | Дата (ДД.ММ.ГГГГ), когда было начало работы сборки | Агрегат данных (дата) |\n",
    "| **87** | Дней между монтажом и демонтажем | Сколько дней прошло между датой монтажа и демонтажа  | Целочисленный |   \n",
    "| **88** | Загрузка ПЭД медиана [%] | отношение рабочего тока к номинальному медиана | Вещественный |\n",
    "| **89** | Загрузка ПЭД среднее [%] | отношение рабочего тока к номинальному среднее | Вещественный |\n",
    "| **90** | Загрузка ПЭД ст. откл-е [%] | отношение рабочего тока к номинальному ст. откл-е| Вещественный |\n",
    "| **91** | Ток фазы A медиана [%] | процент тока в фазе А(?) медиана| Вещественный |\n",
    "| **92** | Ток фазы A среднее [%] | процент тока в фазе А(?) среднее| Вещественный |\n",
    "| **93** | Ток фазы A ст. откл-е [%] | процент тока в фазе А(?) ст. откл-е | Вещественный |\n",
    "| **94** | key_well_id | Сцепка идентификатора скважины и даты | Категориальный |"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Целевым значением выступают 2 признака:\n",
    "1. \"Дней в работе\" (число дней, которое оборудование с данными параметрами проработало до выхода из исследования);\n",
    "2. \"Признак отказа\" (бинарная метка выхода из исследования: если значение равняется 1, значит, оборудование с данными характеристиками действительно вышло из строя в момент времени \"Дней в работе\", иначе -- оборудование к указанному дню либо продолжило работать, либо наблюдение за ним прекратилось по тем или иным причинам)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1.1. <a id='toc1_1_'></a>[Research](#toc0_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.1.1. <a id='toc1_1_1_'></a>[Загрузка исходных данных](#toc0_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Благодаря сформированному виртуальному окружению можно приступить к загрузке данных."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Данные представлены в формате .csv: это значит, что нам необходимо воспользоваться средствами библиотеки pandas, чтобы прочитать, распарсить и проанализировать полученный объект.\n",
    "Воспользуемся методом ```pd.read_csv()``` для того, чтобы прочитать файл с данными и представить его в памяти.\n",
    "\n",
    "Данный метод принимает на вход:\n",
    "1. путь до файла, который необходимо прочитать;\n",
    "2. разделитель (символ, который отделяет разные записи друг от друга);\n",
    "3. кодировка (кодировка символов в файле);\n",
    "4. и т.д.\n",
    "Прочитаем файл при помощи метода и результат положим в переменную df, с которой будем в дальнейшем работать.\n",
    "\n",
    "В данном случае параметры разделителя и кодировки передавать нет необходимости, так как для данного файла они совпадают с параметрами по умолчанию: запятая и UTF-8 соответственно.\n",
    "Метод вернет объект датафрейма (абстракция над табличными данными и табличными представлениями, предоставляющая возможность реализовывать логику по работе с плоскими данными), который необходимо отобразить после прочтения файла.\n",
    "Также в качестве параметров укажем наименования признаков, которые необходимо представить в формате даты. Для этого в параметр parse_dates передадим список наименований колонок с датами, а также поставим флаг ```dayfirst=True``` для корректного представления.\n",
    "Сам датасет представляет из себя набор объектов, каждый из которых является комбинацией технологических параметров работы добывающего насосного оборудования, а также параметров работы данного оборудования. Данные параметры составляют матрицу объект-признак."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "В переменную `df_dead` поместим информацию об объектах, которые были демонтированы. Если у объекта из данного датасета признак отказа равен 0, значит, этот объект был демонтирован по причине, отличающейся от выхода из строя (такие объекты нас не интересуют, потому они помечаются нулем).\n",
    "\n",
    "В переменную `df_live` поместим информацию об объектах, которые продолжают работу (не были демонтированы). Если у объекта из данного датасета признак отказа равен 1, значит, этот объект вышел из строя, однако не был демонтирован (такие объекты нас интересуют, потому они помечаются единицей)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_dead = pd.read_excel('./output_ds_3_dead.xlsx', parse_dates=[\n",
    "    'ЭРА.Дата монтажа', 'ЭРА.Дата демонтажа', 'Дата первой работы сборки', 'Дата начала экспл-ии'])\n",
    "df_live = pd.read_excel('./output_ds_3_live.xlsx', parse_dates=[\n",
    "    'ЭРА.Дата монтажа', 'ЭРА.Дата демонтажа', 'Дата первой работы сборки', 'Дата начала экспл-ии'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Поскольку в датасетах данные однородны, их можно объединить, чтобы работать с данными как с одним целым."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       "      <td>63.49</td>\n",
       "      <td>63.49</td>\n",
       "      <td>130.6</td>\n",
       "      <td>73.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>2501.21</td>\n",
       "      <td>Вертикальный</td>\n",
       "      <td>2009-04-21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2380004008_2839514836601</td>\n",
       "      <td>2380004008</td>\n",
       "      <td>2839514836601</td>\n",
       "      <td>40Р</td>\n",
       "      <td>МТ5А-80-2850</td>\n",
       "      <td>Отсутствие подачи_2023-08-05</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-06-17</td>\n",
       "      <td>2023-08-10</td>\n",
       "      <td>54.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2518.34</td>\n",
       "      <td>63.66</td>\n",
       "      <td>63.66</td>\n",
       "      <td>130.6</td>\n",
       "      <td>73.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>2497.92</td>\n",
       "      <td>Вертикальный</td>\n",
       "      <td>2009-04-21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7077</th>\n",
       "      <td>2388500400_2843620690001</td>\n",
       "      <td>2388500400</td>\n",
       "      <td>2843620690001</td>\n",
       "      <td>85004</td>\n",
       "      <td>ЭЦНД5А-100М-2700</td>\n",
       "      <td>Исследования на скважине (без обнуления МРП)_2...</td>\n",
       "      <td>0</td>\n",
       "      <td>2023-07-24</td>\n",
       "      <td>2099-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>758.26</td>\n",
       "      <td>2499.66</td>\n",
       "      <td>121.57</td>\n",
       "      <td>125.65</td>\n",
       "      <td>146.8</td>\n",
       "      <td>73.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>3237.51</td>\n",
       "      <td>Наклонно-направленный</td>\n",
       "      <td>2023-02-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7078</th>\n",
       "      <td>2388500721_2926519442101</td>\n",
       "      <td>2388500721</td>\n",
       "      <td>2926519442101</td>\n",
       "      <td>85007ГС</td>\n",
       "      <td>МТ-125-2650</td>\n",
       "      <td>_</td>\n",
       "      <td>0</td>\n",
       "      <td>2024-10-24</td>\n",
       "      <td>2099-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>556.20</td>\n",
       "      <td>2581.78</td>\n",
       "      <td>31.55</td>\n",
       "      <td>231.69</td>\n",
       "      <td>159.6</td>\n",
       "      <td>73.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>3116.63</td>\n",
       "      <td>Горизонтальный</td>\n",
       "      <td>2024-10-25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7079</th>\n",
       "      <td>2388500821_2916531637301</td>\n",
       "      <td>2388500821</td>\n",
       "      <td>2916531637301</td>\n",
       "      <td>85008ГС</td>\n",
       "      <td>МТ-125-2650</td>\n",
       "      <td>_</td>\n",
       "      <td>0</td>\n",
       "      <td>2024-09-23</td>\n",
       "      <td>2099-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>349.63</td>\n",
       "      <td>2580.80</td>\n",
       "      <td>28.02</td>\n",
       "      <td>215.33</td>\n",
       "      <td>159.6</td>\n",
       "      <td>73.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>2909.19</td>\n",
       "      <td>Горизонтальный</td>\n",
       "      <td>2024-09-25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7080</th>\n",
       "      <td>2388502521_2945491869901</td>\n",
       "      <td>2388502521</td>\n",
       "      <td>2945491869901</td>\n",
       "      <td>85025ГС</td>\n",
       "      <td>384 МТ5А-125 DP</td>\n",
       "      <td>_</td>\n",
       "      <td>0</td>\n",
       "      <td>2024-12-08</td>\n",
       "      <td>2099-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>495.90</td>\n",
       "      <td>2684.54</td>\n",
       "      <td>31.79</td>\n",
       "      <td>175.21</td>\n",
       "      <td>159.6</td>\n",
       "      <td>60.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>3158.58</td>\n",
       "      <td>Горизонтальный</td>\n",
       "      <td>2024-12-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7081</th>\n",
       "      <td>2388800100_2890992519401</td>\n",
       "      <td>2388800100</td>\n",
       "      <td>2890992519401</td>\n",
       "      <td>88001</td>\n",
       "      <td>30.1ЭЦНДИэ5-80М-2500</td>\n",
       "      <td>Остановка по распоряжению ОПЕК (без обнуления ...</td>\n",
       "      <td>0</td>\n",
       "      <td>2024-07-22</td>\n",
       "      <td>2099-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>234.10</td>\n",
       "      <td>2567.21</td>\n",
       "      <td>46.59</td>\n",
       "      <td>49.69</td>\n",
       "      <td>146.8</td>\n",
       "      <td>73.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>2777.40</td>\n",
       "      <td>Наклонно-направленный</td>\n",
       "      <td>2022-02-04</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7082 rows × 91 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               key_well_sborka     well_id      sborka_id Скважина  \\\n",
       "0     2380001100_2855633938001  2380001100  2855633938001       11   \n",
       "1     2380003708_1917763873901  2380003708  1917763873901      37Р   \n",
       "2     2380004008_2275884987101  2380004008  2275884987101      40Р   \n",
       "3     2380004008_2610164510401  2380004008  2610164510401      40Р   \n",
       "4     2380004008_2839514836601  2380004008  2839514836601      40Р   \n",
       "...                        ...         ...            ...      ...   \n",
       "7077  2388500400_2843620690001  2388500400  2843620690001    85004   \n",
       "7078  2388500721_2926519442101  2388500721  2926519442101  85007ГС   \n",
       "7079  2388500821_2916531637301  2388500821  2916531637301  85008ГС   \n",
       "7080  2388502521_2945491869901  2388502521  2945491869901  85025ГС   \n",
       "7081  2388800100_2890992519401  2388800100  2890992519401    88001   \n",
       "\n",
       "                    Сборка                            Причины остановок новые  \\\n",
       "0           ВНН2А-80Э-2850  Падение сопротивления изоляции установки элект...   \n",
       "1            ВНН5-60Э-2350  Падение сопротивления изоляции установки элект...   \n",
       "2             ВНН5-80-2800  Комплексная обработка призабойной зоны_2021-09-16   \n",
       "3             ВНН5-80-2800  Смена установки электроцентробежного насоса_20...   \n",
       "4             МТ5А-80-2850                       Отсутствие подачи_2023-08-05   \n",
       "...                    ...                                                ...   \n",
       "7077      ЭЦНД5А-100М-2700  Исследования на скважине (без обнуления МРП)_2...   \n",
       "7078           МТ-125-2650                                                  _   \n",
       "7079           МТ-125-2650                                                  _   \n",
       "7080       384 МТ5А-125 DP                                                  _   \n",
       "7081  30.1ЭЦНДИэ5-80М-2500  Остановка по распоряжению ОПЕК (без обнуления ...   \n",
       "\n",
       "      Признак отказа ЭРА.Дата монтажа ЭРА.Дата демонтажа  \\\n",
       "0                  1       2023-11-24         2024-05-10   \n",
       "1                  1       2020-01-08         2022-03-11   \n",
       "2                  0       2020-08-06         2021-09-16   \n",
       "3                  0       2021-09-23         2023-06-16   \n",
       "4                  1       2023-06-17         2023-08-10   \n",
       "...              ...              ...                ...   \n",
       "7077               0       2023-07-24         2099-01-01   \n",
       "7078               0       2024-10-24         2099-01-01   \n",
       "7079               0       2024-09-23         2099-01-01   \n",
       "7080               0       2024-12-08         2099-01-01   \n",
       "7081               0       2024-07-22         2099-01-01   \n",
       "\n",
       "      Дней между монтажом и демонтажем  ... dL насос [м] ТР  H насос [м] ТР  \\\n",
       "0                                168.0  ...          177.73         2366.50   \n",
       "1                                793.0  ...            1.03         2489.26   \n",
       "2                                406.0  ...            0.00         2547.96   \n",
       "3                                631.0  ...            0.00         2518.51   \n",
       "4                                 54.0  ...            0.00         2518.34   \n",
       "...                                ...  ...             ...             ...   \n",
       "7077                               NaN  ...          758.26         2499.66   \n",
       "7078                               NaN  ...          556.20         2581.78   \n",
       "7079                               NaN  ...          349.63         2580.80   \n",
       "7080                               NaN  ...          495.90         2684.54   \n",
       "7081                               NaN  ...          234.10         2567.21   \n",
       "\n",
       "      dH вдп-насос [м] ТР  dL вдп-насос ТР  D колонны внутренний [мм] ТР  \\\n",
       "0                   62.68            99.55                         130.6   \n",
       "1                  109.97           110.00                         132.0   \n",
       "2                   52.00            52.00                         130.6   \n",
       "3                   63.49            63.49                         130.6   \n",
       "4                   63.66            63.66                         130.6   \n",
       "...                   ...              ...                           ...   \n",
       "7077               121.57           125.65                         146.8   \n",
       "7078                31.55           231.69                         159.6   \n",
       "7079                28.02           215.33                         159.6   \n",
       "7080                31.79           175.21                         159.6   \n",
       "7081                46.59            49.69                         146.8   \n",
       "\n",
       "      D нкт внешний min [мм] НКТ D нкт внутренний min [мм] НКТ Lнкт [м] НКТ  \\\n",
       "0                           60.0                          50.0      2520.00   \n",
       "1                           60.0                          50.0      2449.71   \n",
       "2                           73.0                          62.0      2504.48   \n",
       "3                           73.0                          62.0      2501.21   \n",
       "4                           73.0                          62.0      2497.92   \n",
       "...                          ...                           ...          ...   \n",
       "7077                        73.0                          62.0      3237.51   \n",
       "7078                        73.0                          62.0      3116.63   \n",
       "7079                        73.0                          62.0      2909.19   \n",
       "7080                        60.0                          50.0      3158.58   \n",
       "7081                        73.0                          62.0      2777.40   \n",
       "\n",
       "                 Тип ствола  Дата начала экспл-ии  \n",
       "0              Вертикальный            2007-02-24  \n",
       "1              Вертикальный            2010-01-31  \n",
       "2              Вертикальный            2009-04-21  \n",
       "3              Вертикальный            2009-04-21  \n",
       "4              Вертикальный            2009-04-21  \n",
       "...                     ...                   ...  \n",
       "7077  Наклонно-направленный            2023-02-03  \n",
       "7078         Горизонтальный            2024-10-25  \n",
       "7079         Горизонтальный            2024-09-25  \n",
       "7080         Горизонтальный            2024-12-12  \n",
       "7081  Наклонно-направленный            2022-02-04  \n",
       "\n",
       "[7082 rows x 91 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.concat((df_dead, df_live), ignore_index=True)\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.1.2. <a id='toc1_1_2_'></a>[Анализ типов данных и значений признаков](#toc0_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Первоначально необходимо проанализировать типы данных колонок датафрейма, чтобы правильно представить исходные данные."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Поскольку для дальнейшего моделирования необходимо, чтобы все значения признаков являлись вещественными числами (либо специальным значением NaN, обозначающим нечисловое значение), воспользуемся методом датафрейма ```.info()```, который выводит сводную информацию о колонках объекта. После этого выполним преобразование категориальных данных и данных с пропусками, чтобы получить готовый набор данных для работы."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 1.1.2.1. <a id='toc1_1_2_1_'></a>[Выделение фрагментов исходного датасета](#toc0_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Исходный датасет имеет большое количество признаков: метод ```DataFrame.info()``` не сможет корректно отобразить сводную информацию о типах данных признаков. Поэтому выделим $n = 8$ участков, которые будут содержать участки признакового пространства, представленные в корректном виде для дальнейшего анализа."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(0, 12), (12, 24), (24, 36), (36, 48), (48, 60), (60, 72), (72, 84), (84, 96)]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import math\n",
    "\n",
    "\n",
    "N = len(df.columns)\n",
    "n = 8\n",
    "h = math.ceil(N / n)\n",
    "intervals = [(i * h, (i + 1) * h) for i in range(n)]\n",
    "intervals"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "В переменную `df_parts` поместим данные фрагменты датасета в соответствии с интервалами разбиения."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "columns = df.columns\n",
    "df_parts = [\n",
    "    df[columns[interval[0]: interval[1]]] for interval in intervals\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 1.1.2.2. <a id='toc1_1_2_2_'></a>[Анализ выделенных фрагментов](#toc0_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Рассмотрим первый фрагмент датасета. Первоначально выведем его на экран."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>key_well_sborka</th>\n",
       "      <th>well_id</th>\n",
       "      <th>sborka_id</th>\n",
       "      <th>Скважина</th>\n",
       "      <th>Сборка</th>\n",
       "      <th>Причины остановок новые</th>\n",
       "      <th>Признак отказа</th>\n",
       "      <th>ЭРА.Дата монтажа</th>\n",
       "      <th>ЭРА.Дата демонтажа</th>\n",
       "      <th>Дней между монтажом и демонтажем</th>\n",
       "      <th>Дата первой работы сборки</th>\n",
       "      <th>Дней в работе</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2380001100_2855633938001</td>\n",
       "      <td>2380001100</td>\n",
       "      <td>2855633938001</td>\n",
       "      <td>11</td>\n",
       "      <td>ВНН2А-80Э-2850</td>\n",
       "      <td>Падение сопротивления изоляции установки элект...</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-11-24</td>\n",
       "      <td>2024-05-10</td>\n",
       "      <td>168.0</td>\n",
       "      <td>2023-11-26</td>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2380003708_1917763873901</td>\n",
       "      <td>2380003708</td>\n",
       "      <td>1917763873901</td>\n",
       "      <td>37Р</td>\n",
       "      <td>ВНН5-60Э-2350</td>\n",
       "      <td>Падение сопротивления изоляции установки элект...</td>\n",
       "      <td>1</td>\n",
       "      <td>2020-01-08</td>\n",
       "      <td>2022-03-11</td>\n",
       "      <td>793.0</td>\n",
       "      <td>2020-01-09</td>\n",
       "      <td>779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2380004008_2275884987101</td>\n",
       "      <td>2380004008</td>\n",
       "      <td>2275884987101</td>\n",
       "      <td>40Р</td>\n",
       "      <td>ВНН5-80-2800</td>\n",
       "      <td>Комплексная обработка призабойной зоны_2021-09-16</td>\n",
       "      <td>0</td>\n",
       "      <td>2020-08-06</td>\n",
       "      <td>2021-09-16</td>\n",
       "      <td>406.0</td>\n",
       "      <td>2020-08-07</td>\n",
       "      <td>406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2380004008_2610164510401</td>\n",
       "      <td>2380004008</td>\n",
       "      <td>2610164510401</td>\n",
       "      <td>40Р</td>\n",
       "      <td>ВНН5-80-2800</td>\n",
       "      <td>Смена установки электроцентробежного насоса_20...</td>\n",
       "      <td>0</td>\n",
       "      <td>2021-09-23</td>\n",
       "      <td>2023-06-16</td>\n",
       "      <td>631.0</td>\n",
       "      <td>2021-09-25</td>\n",
       "      <td>559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2380004008_2839514836601</td>\n",
       "      <td>2380004008</td>\n",
       "      <td>2839514836601</td>\n",
       "      <td>40Р</td>\n",
       "      <td>МТ5А-80-2850</td>\n",
       "      <td>Отсутствие подачи_2023-08-05</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-06-17</td>\n",
       "      <td>2023-08-10</td>\n",
       "      <td>54.0</td>\n",
       "      <td>2023-06-18</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            key_well_sborka     well_id      sborka_id Скважина  \\\n",
       "0  2380001100_2855633938001  2380001100  2855633938001       11   \n",
       "1  2380003708_1917763873901  2380003708  1917763873901      37Р   \n",
       "2  2380004008_2275884987101  2380004008  2275884987101      40Р   \n",
       "3  2380004008_2610164510401  2380004008  2610164510401      40Р   \n",
       "4  2380004008_2839514836601  2380004008  2839514836601      40Р   \n",
       "\n",
       "           Сборка                            Причины остановок новые  \\\n",
       "0  ВНН2А-80Э-2850  Падение сопротивления изоляции установки элект...   \n",
       "1   ВНН5-60Э-2350  Падение сопротивления изоляции установки элект...   \n",
       "2    ВНН5-80-2800  Комплексная обработка призабойной зоны_2021-09-16   \n",
       "3    ВНН5-80-2800  Смена установки электроцентробежного насоса_20...   \n",
       "4    МТ5А-80-2850                       Отсутствие подачи_2023-08-05   \n",
       "\n",
       "   Признак отказа ЭРА.Дата монтажа ЭРА.Дата демонтажа  \\\n",
       "0               1       2023-11-24         2024-05-10   \n",
       "1               1       2020-01-08         2022-03-11   \n",
       "2               0       2020-08-06         2021-09-16   \n",
       "3               0       2021-09-23         2023-06-16   \n",
       "4               1       2023-06-17         2023-08-10   \n",
       "\n",
       "   Дней между монтажом и демонтажем Дата первой работы сборки  Дней в работе  \n",
       "0                             168.0                2023-11-26             71  \n",
       "1                             793.0                2020-01-09            779  \n",
       "2                             406.0                2020-08-07            406  \n",
       "3                             631.0                2021-09-25            559  \n",
       "4                              54.0                2023-06-18             49  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_parts[0].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 7082 entries, 0 to 7081\n",
      "Data columns (total 12 columns):\n",
      " #   Column                            Non-Null Count  Dtype         \n",
      "---  ------                            --------------  -----         \n",
      " 0   key_well_sborka                   7082 non-null   object        \n",
      " 1   well_id                           7082 non-null   int64         \n",
      " 2   sborka_id                         7082 non-null   int64         \n",
      " 3   Скважина                          7082 non-null   object        \n",
      " 4   Сборка                            7081 non-null   object        \n",
      " 5   Причины остановок новые           7082 non-null   object        \n",
      " 6   Признак отказа                    7082 non-null   int64         \n",
      " 7   ЭРА.Дата монтажа                  7082 non-null   datetime64[ns]\n",
      " 8   ЭРА.Дата демонтажа                7082 non-null   datetime64[ns]\n",
      " 9   Дней между монтажом и демонтажем  4352 non-null   float64       \n",
      " 10  Дата первой работы сборки         7082 non-null   datetime64[ns]\n",
      " 11  Дней в работе                     7082 non-null   int64         \n",
      "dtypes: datetime64[ns](3), float64(1), int64(4), object(4)\n",
      "memory usage: 664.1+ KB\n"
     ]
    }
   ],
   "source": [
    "df_parts[0].info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Рассмотрим некоторый набор признаков на содержание уникальных значений (отобранный по результатам изучения выведенного на экран фрагмента), чтобы принять решение: удалять данные признаки или же включать в набор категориальных."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "key_well_sborka                     7082\n",
       "well_id                             3193\n",
       "sborka_id                           7082\n",
       "Скважина                            3193\n",
       "Сборка                               734\n",
       "Причины остановок новые             3703\n",
       "Признак отказа                         2\n",
       "ЭРА.Дата монтажа                    1858\n",
       "ЭРА.Дата демонтажа                  1609\n",
       "Дней между монтажом и демонтажем    1294\n",
       "Дата первой работы сборки           1879\n",
       "Дней в работе                       1488\n",
       "dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_parts[0].nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Видим, что признаки 'key_well_sborka', 'well_id', 'sborka_id', 'Скважина', 'Сборка' и 'Причины остановок новые' имеют большую концентрацию уникальных значений, значит, их нельзя считать категориальными признаками: они подлежат удалению из исходного набора данных, поскольку это идентификаторы записей в базе данных.\n",
    "\n",
    "`Исправление после валидации` Также признак 'Причины остановок новые' является текстовым: оператор при остановке оборудования пишет служебные сообщения, они становятся известными только на момент выхода объекта из строя, потому его необходимо исключить."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Также признак 'ЭРА.Дата демонтажа' известен только на тот момент, когда оборудование вышло из строя. Получаем, что его нельзя использовать при построении моделей, так как это вызовет утечку данных. Аналогичная ситуация с признаком 'Дней между монтажом и демонтажем'."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(columns=['key_well_sborka', 'well_id', 'sborka_id', 'Скважина',\n",
    "        'Сборка', 'Причины остановок новые', 'ЭРА.Дата демонтажа', 'Дней между монтажом и демонтажем'], inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Также заменим агрегат данных 'ЭРА.Дата монтажа' на три производных признака: день даты монтажа, а также ее месяц и год. Исходный признак удалим. Аналогичную работу проделаем с агрегатом 'Дата первой работы сборки'."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "col = 'ЭРА.Дата монтажа'\n",
    "\n",
    "df[f'{col}_day'] = df[col].dt.day\n",
    "df[f'{col}_month'] = df[col].dt.month\n",
    "df[f'{col}_year'] = df[col].dt.year\n",
    "df.drop(columns=[col], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "col = 'Дата первой работы сборки'\n",
    "\n",
    "df[f'{col}_day'] = df[col].dt.day\n",
    "df[f'{col}_month'] = df[col].dt.month\n",
    "df[f'{col}_year'] = df[col].dt.year\n",
    "df.drop(columns=[col], inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------------"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Анализ и очистку данного фрагмента проведем аналогично первому фрагменту."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Минуты вращения насоса</th>\n",
       "      <th>Сутки вращения насоса</th>\n",
       "      <th>Кол-во циклов ПКВ</th>\n",
       "      <th>Кол-во циклов ПКВ/Дней в работе</th>\n",
       "      <th>Режим гр-ка</th>\n",
       "      <th>Группа</th>\n",
       "      <th>Группа ПКВ</th>\n",
       "      <th>УРЭ [кВтч/т]</th>\n",
       "      <th>УРЭ К [кВтч/т]</th>\n",
       "      <th>Э/э (Wакт) [кВт*ч]</th>\n",
       "      <th>Э/э реакт. (ТМ)</th>\n",
       "      <th>Э/э счет. (ТМ) [Вт]</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>21738.166667</td>\n",
       "      <td>15.095949</td>\n",
       "      <td>3282.033333</td>\n",
       "      <td>46.225822</td>\n",
       "      <td>ПКВ;ПДФ</td>\n",
       "      <td>Группа ПКВ</td>\n",
       "      <td>Без группы</td>\n",
       "      <td>36.656200</td>\n",
       "      <td>49.558431</td>\n",
       "      <td>14607.71</td>\n",
       "      <td>512.80</td>\n",
       "      <td>11170.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>236529.565125</td>\n",
       "      <td>164.256642</td>\n",
       "      <td>29963.013022</td>\n",
       "      <td>38.463431</td>\n",
       "      <td>ПКВ</td>\n",
       "      <td>Группа ПКВ</td>\n",
       "      <td>Без группы</td>\n",
       "      <td>11.898764</td>\n",
       "      <td>18.740613</td>\n",
       "      <td>244907.43</td>\n",
       "      <td>12394.10</td>\n",
       "      <td>143371.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>132915.327468</td>\n",
       "      <td>92.302311</td>\n",
       "      <td>17749.767058</td>\n",
       "      <td>43.718638</td>\n",
       "      <td>ПКВ</td>\n",
       "      <td>Группа ПКВ</td>\n",
       "      <td>Без группы</td>\n",
       "      <td>23.321943</td>\n",
       "      <td>45.376261</td>\n",
       "      <td>178904.12</td>\n",
       "      <td>2482.95</td>\n",
       "      <td>111509.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>236332.612842</td>\n",
       "      <td>164.119870</td>\n",
       "      <td>20089.937705</td>\n",
       "      <td>35.939066</td>\n",
       "      <td>ПКВ</td>\n",
       "      <td>Группа ПКВ</td>\n",
       "      <td>Без группы</td>\n",
       "      <td>35.664170</td>\n",
       "      <td>50.903045</td>\n",
       "      <td>236347.77</td>\n",
       "      <td>27874.10</td>\n",
       "      <td>173259.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>36379.833333</td>\n",
       "      <td>25.263773</td>\n",
       "      <td>2291.866667</td>\n",
       "      <td>46.772789</td>\n",
       "      <td>ПКВ</td>\n",
       "      <td>Группа ПКВ</td>\n",
       "      <td>Без группы</td>\n",
       "      <td>35.876429</td>\n",
       "      <td>34.911111</td>\n",
       "      <td>32320.29</td>\n",
       "      <td>11845.10</td>\n",
       "      <td>31223.10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Минуты вращения насоса  Сутки вращения насоса  Кол-во циклов ПКВ  \\\n",
       "0            21738.166667              15.095949        3282.033333   \n",
       "1           236529.565125             164.256642       29963.013022   \n",
       "2           132915.327468              92.302311       17749.767058   \n",
       "3           236332.612842             164.119870       20089.937705   \n",
       "4            36379.833333              25.263773        2291.866667   \n",
       "\n",
       "   Кол-во циклов ПКВ/Дней в работе Режим гр-ка      Группа  Группа ПКВ  \\\n",
       "0                        46.225822     ПКВ;ПДФ  Группа ПКВ  Без группы   \n",
       "1                        38.463431         ПКВ  Группа ПКВ  Без группы   \n",
       "2                        43.718638         ПКВ  Группа ПКВ  Без группы   \n",
       "3                        35.939066         ПКВ  Группа ПКВ  Без группы   \n",
       "4                        46.772789         ПКВ  Группа ПКВ  Без группы   \n",
       "\n",
       "   УРЭ [кВтч/т]  УРЭ К [кВтч/т]  Э/э (Wакт) [кВт*ч]  Э/э реакт. (ТМ)  \\\n",
       "0     36.656200       49.558431            14607.71           512.80   \n",
       "1     11.898764       18.740613           244907.43         12394.10   \n",
       "2     23.321943       45.376261           178904.12          2482.95   \n",
       "3     35.664170       50.903045           236347.77         27874.10   \n",
       "4     35.876429       34.911111            32320.29         11845.10   \n",
       "\n",
       "   Э/э счет. (ТМ) [Вт]  \n",
       "0             11170.25  \n",
       "1            143371.00  \n",
       "2            111509.00  \n",
       "3            173259.80  \n",
       "4             31223.10  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_parts[1].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 7082 entries, 0 to 7081\n",
      "Data columns (total 12 columns):\n",
      " #   Column                           Non-Null Count  Dtype  \n",
      "---  ------                           --------------  -----  \n",
      " 0   Минуты вращения насоса           7082 non-null   float64\n",
      " 1   Сутки вращения насоса            7082 non-null   float64\n",
      " 2   Кол-во циклов ПКВ                7082 non-null   float64\n",
      " 3   Кол-во циклов ПКВ/Дней в работе  7082 non-null   float64\n",
      " 4   Режим гр-ка                      7082 non-null   object \n",
      " 5   Группа                           7082 non-null   object \n",
      " 6   Группа ПКВ                       7082 non-null   object \n",
      " 7   УРЭ [кВтч/т]                     6939 non-null   float64\n",
      " 8   УРЭ К [кВтч/т]                   6945 non-null   float64\n",
      " 9   Э/э (Wакт) [кВт*ч]               7082 non-null   float64\n",
      " 10  Э/э реакт. (ТМ)                  7082 non-null   float64\n",
      " 11  Э/э счет. (ТМ) [Вт]              7082 non-null   float64\n",
      "dtypes: float64(9), object(3)\n",
      "memory usage: 664.1+ KB\n"
     ]
    }
   ],
   "source": [
    "df_parts[1].info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Минуты вращения насоса             7079\n",
       "Сутки вращения насоса              7079\n",
       "Кол-во циклов ПКВ                  6763\n",
       "Кол-во циклов ПКВ/Дней в работе    6810\n",
       "Режим гр-ка                          20\n",
       "Группа                                4\n",
       "Группа ПКВ                            4\n",
       "УРЭ [кВтч/т]                       6939\n",
       "УРЭ К [кВтч/т]                     6944\n",
       "Э/э (Wакт) [кВт*ч]                 6946\n",
       "Э/э реакт. (ТМ)                    6117\n",
       "Э/э счет. (ТМ) [Вт]                6936\n",
       "dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_parts[1].nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Удалим признаки, которые вычисляются на основании других, чтобы предотвратить утечку данных."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      ],
      "text/plain": [
       "                        Минуты вращения насоса  Сутки вращения насоса\n",
       "Минуты вращения насоса                     1.0                    1.0\n",
       "Сутки вращения насоса                      1.0                    1.0"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[['Минуты вращения насоса', 'Сутки вращения насоса']].corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(columns=['Минуты вращения насоса', 'Кол-во циклов ПКВ/Дней в работе'], inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----------------------------------"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Анализ и очистку данного фрагмента проведем аналогично первому фрагменту."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Qж OIS протяжка среднее [м3/сут]</th>\n",
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       "      <th>Qж OIS протяжка ст. откл-е [м3/сут]</th>\n",
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       "      <td>5.72</td>\n",
       "      <td>38.646095</td>\n",
       "      <td>157.721612</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>190.388674</td>\n",
       "      <td>13.211704</td>\n",
       "      <td>4.444</td>\n",
       "      <td>12.114999</td>\n",
       "      <td>31.256761</td>\n",
       "      <td>11.0</td>\n",
       "      <td>24.520977</td>\n",
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       "      <th>1</th>\n",
       "      <td>18.929017</td>\n",
       "      <td>21.00</td>\n",
       "      <td>5.739884</td>\n",
       "      <td>90.668158</td>\n",
       "      <td>87.000000</td>\n",
       "      <td>30.679531</td>\n",
       "      <td>6.145198</td>\n",
       "      <td>6.505</td>\n",
       "      <td>1.737518</td>\n",
       "      <td>62.258062</td>\n",
       "      <td>64.7</td>\n",
       "      <td>6.929794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>14.543448</td>\n",
       "      <td>12.32</td>\n",
       "      <td>5.993092</td>\n",
       "      <td>63.991990</td>\n",
       "      <td>62.025000</td>\n",
       "      <td>16.584993</td>\n",
       "      <td>9.015281</td>\n",
       "      <td>7.946</td>\n",
       "      <td>4.654288</td>\n",
       "      <td>26.893103</td>\n",
       "      <td>20.0</td>\n",
       "      <td>20.936224</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11.693127</td>\n",
       "      <td>10.05</td>\n",
       "      <td>5.006883</td>\n",
       "      <td>41.594575</td>\n",
       "      <td>40.114286</td>\n",
       "      <td>15.159384</td>\n",
       "      <td>6.473474</td>\n",
       "      <td>6.828</td>\n",
       "      <td>1.677151</td>\n",
       "      <td>29.272791</td>\n",
       "      <td>20.0</td>\n",
       "      <td>23.516740</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>38.600959</td>\n",
       "      <td>48.00</td>\n",
       "      <td>17.679348</td>\n",
       "      <td>71.974597</td>\n",
       "      <td>83.333333</td>\n",
       "      <td>23.213173</td>\n",
       "      <td>10.839673</td>\n",
       "      <td>12.236</td>\n",
       "      <td>2.768067</td>\n",
       "      <td>58.663265</td>\n",
       "      <td>71.0</td>\n",
       "      <td>20.996054</td>\n",
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       "   Qж OIS протяжка среднее [м3/сут]  Qж OIS протяжка медиана [м3/сут]  \\\n",
       "0                         34.522169                              5.72   \n",
       "1                         18.929017                             21.00   \n",
       "2                         14.543448                             12.32   \n",
       "3                         11.693127                             10.05   \n",
       "4                         38.600959                             48.00   \n",
       "\n",
       "   Qж OIS протяжка ст. откл-е [м3/сут]  Qж мгн среднее [м3/сут]  \\\n",
       "0                            38.646095               157.721612   \n",
       "1                             5.739884                90.668158   \n",
       "2                             5.993092                63.991990   \n",
       "3                             5.006883                41.594575   \n",
       "4                            17.679348                71.974597   \n",
       "\n",
       "   Qж мгн медиана [м3/сут]  Qж мгн ст. откл-е [м3/сут]  \\\n",
       "0                30.000000                  190.388674   \n",
       "1                87.000000                   30.679531   \n",
       "2                62.025000                   16.584993   \n",
       "3                40.114286                   15.159384   \n",
       "4                83.333333                   23.213173   \n",
       "\n",
       "   Qн OIS протяжка среднее [тн/сут]  Qн OIS протяжка медиана [тн/сут]  \\\n",
       "0                         13.211704                             4.444   \n",
       "1                          6.145198                             6.505   \n",
       "2                          9.015281                             7.946   \n",
       "3                          6.473474                             6.828   \n",
       "4                         10.839673                            12.236   \n",
       "\n",
       "   Qн OIS протяжка ст. откл-е [тн/сут]  Обв-ть V OIS протяжка среднее [%]  \\\n",
       "0                            12.114999                          31.256761   \n",
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       "2                             4.654288                          26.893103   \n",
       "3                             1.677151                          29.272791   \n",
       "4                             2.768067                          58.663265   \n",
       "\n",
       "   Обв-ть V OIS протяжка медиана [%]  Обв-ть V OIS протяжка ст. откл-е [%]  \n",
       "0                               11.0                             24.520977  \n",
       "1                               64.7                              6.929794  \n",
       "2                               20.0                             20.936224  \n",
       "3                               20.0                             23.516740  \n",
       "4                               71.0                             20.996054  "
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     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "df_parts[2].head()"
   ]
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   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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      " 4   Qж мгн медиана [м3/сут]               7062 non-null   float64\n",
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      " 9   Обв-ть V OIS протяжка среднее [%]     7062 non-null   float64\n",
      " 10  Обв-ть V OIS протяжка медиана [%]     7062 non-null   float64\n",
      " 11  Обв-ть V OIS протяжка ст. откл-е [%]  7058 non-null   float64\n",
      "dtypes: float64(12)\n",
      "memory usage: 664.1 KB\n"
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   "source": [
    "df_parts[2].info()"
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------------"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Анализ и очистку данного фрагмента проведем аналогично первому фрагменту."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Pзаб среднее [ат]</th>\n",
       "      <th>Pзаб медиана [ат]</th>\n",
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       "      <td>63.2</td>\n",
       "      <td>64.293050</td>\n",
       "      <td>325.298214</td>\n",
       "      <td>332.8</td>\n",
       "      <td>14.214067</td>\n",
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       "      <td>48.970563</td>\n",
       "      <td>48.5</td>\n",
       "      <td>1.939413</td>\n",
       "      <td>28.333803</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>39.442929</td>\n",
       "      <td>38.9</td>\n",
       "      <td>3.673911</td>\n",
       "      <td>174.417150</td>\n",
       "      <td>175.0</td>\n",
       "      <td>2.896617</td>\n",
       "      <td>1</td>\n",
       "      <td>2471.11</td>\n",
       "      <td>93.565469</td>\n",
       "      <td>100.0</td>\n",
       "      <td>16.124681</td>\n",
       "      <td>18.575418</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>34.733663</td>\n",
       "      <td>30.9</td>\n",
       "      <td>16.585840</td>\n",
       "      <td>136.846437</td>\n",
       "      <td>147.2</td>\n",
       "      <td>16.378486</td>\n",
       "      <td>2</td>\n",
       "      <td>2522.00</td>\n",
       "      <td>50.670690</td>\n",
       "      <td>50.0</td>\n",
       "      <td>3.695897</td>\n",
       "      <td>15.392822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>34.360771</td>\n",
       "      <td>33.3</td>\n",
       "      <td>6.527352</td>\n",
       "      <td>125.879873</td>\n",
       "      <td>125.2</td>\n",
       "      <td>3.468052</td>\n",
       "      <td>2</td>\n",
       "      <td>2522.00</td>\n",
       "      <td>101.818247</td>\n",
       "      <td>104.0</td>\n",
       "      <td>11.969442</td>\n",
       "      <td>14.222980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>50.490741</td>\n",
       "      <td>49.4</td>\n",
       "      <td>9.685396</td>\n",
       "      <td>123.440741</td>\n",
       "      <td>121.6</td>\n",
       "      <td>2.403576</td>\n",
       "      <td>2</td>\n",
       "      <td>2518.51</td>\n",
       "      <td>58.244898</td>\n",
       "      <td>50.0</td>\n",
       "      <td>20.435397</td>\n",
       "      <td>14.029167</td>\n",
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       "   Pзаб среднее [ат]  Pзаб медиана [ат]  Pзаб ст. откл-е [ат]  \\\n",
       "0          96.774419               63.2             64.293050   \n",
       "1          39.442929               38.9              3.673911   \n",
       "2          34.733663               30.9             16.585840   \n",
       "3          34.360771               33.3              6.527352   \n",
       "4          50.490741               49.4              9.685396   \n",
       "\n",
       "   Pпласт среднее [ат]  Pпл медиана [ат]  Pпласт ст. откл-е [ат]  \\\n",
       "0           325.298214             332.8               14.214067   \n",
       "1           174.417150             175.0                2.896617   \n",
       "2           136.846437             147.2               16.378486   \n",
       "3           125.879873             125.2                3.468052   \n",
       "4           123.440741             121.6                2.403576   \n",
       "\n",
       "   Кол-во пластов  Глубина насоса [м]  Fитог среднее [Гц]  Fитог медиана [Гц]  \\\n",
       "0               2             2544.23           48.970563                48.5   \n",
       "1               1             2471.11           93.565469               100.0   \n",
       "2               2             2522.00           50.670690                50.0   \n",
       "3               2             2522.00          101.818247               104.0   \n",
       "4               2             2518.51           58.244898                50.0   \n",
       "\n",
       "   Fитог ст. откл-е [Гц]  Pбуф среднее [атм]  \n",
       "0               1.939413           28.333803  \n",
       "1              16.124681           18.575418  \n",
       "2               3.695897           15.392822  \n",
       "3              11.969442           14.222980  \n",
       "4              20.435397           14.029167  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_parts[3].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 7082 entries, 0 to 7081\n",
      "Data columns (total 12 columns):\n",
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      "---  ------                  --------------  -----  \n",
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      " 1   Pзаб медиана [ат]       7070 non-null   float64\n",
      " 2   Pзаб ст. откл-е [ат]    7067 non-null   float64\n",
      " 3   Pпласт среднее [ат]     6833 non-null   float64\n",
      " 4   Pпл медиана [ат]        6833 non-null   float64\n",
      " 5   Pпласт ст. откл-е [ат]  6833 non-null   float64\n",
      " 6   Кол-во пластов          7082 non-null   int64  \n",
      " 7   Глубина насоса [м]      7082 non-null   float64\n",
      " 8   Fитог среднее [Гц]      7082 non-null   float64\n",
      " 9   Fитог медиана [Гц]      7082 non-null   float64\n",
      " 10  Fитог ст. откл-е [Гц]   7073 non-null   float64\n",
      " 11  Pбуф среднее [атм]      7056 non-null   float64\n",
      "dtypes: float64(11), int64(1)\n",
      "memory usage: 664.1 KB\n"
     ]
    }
   ],
   "source": [
    "df_parts[3].info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------------------------"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Анализ и очистку данного фрагмента проведем аналогично первому фрагменту."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>29.197531</td>\n",
       "      <td>29.25</td>\n",
       "      <td>2.133959</td>\n",
       "      <td>1083.563380</td>\n",
       "      <td>1079.0</td>\n",
       "      <td>270.109699</td>\n",
       "      <td>23.981481</td>\n",
       "      <td>23.5</td>\n",
       "      <td>8.043492</td>\n",
       "      <td>9.725909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>18.3</td>\n",
       "      <td>1.366678</td>\n",
       "      <td>14.000972</td>\n",
       "      <td>16.70</td>\n",
       "      <td>6.771844</td>\n",
       "      <td>2352.835650</td>\n",
       "      <td>2351.0</td>\n",
       "      <td>40.397807</td>\n",
       "      <td>52.293883</td>\n",
       "      <td>56.0</td>\n",
       "      <td>9.681344</td>\n",
       "      <td>9.000277</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>15.4</td>\n",
       "      <td>0.659779</td>\n",
       "      <td>14.370403</td>\n",
       "      <td>14.40</td>\n",
       "      <td>0.645894</td>\n",
       "      <td>2369.826733</td>\n",
       "      <td>2401.0</td>\n",
       "      <td>154.580485</td>\n",
       "      <td>70.222222</td>\n",
       "      <td>69.0</td>\n",
       "      <td>11.220006</td>\n",
       "      <td>18.473596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>14.2</td>\n",
       "      <td>0.384983</td>\n",
       "      <td>13.223622</td>\n",
       "      <td>13.20</td>\n",
       "      <td>0.498076</td>\n",
       "      <td>2355.052424</td>\n",
       "      <td>2368.0</td>\n",
       "      <td>93.347478</td>\n",
       "      <td>62.996169</td>\n",
       "      <td>61.0</td>\n",
       "      <td>7.875226</td>\n",
       "      <td>14.267363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>13.9</td>\n",
       "      <td>0.301033</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>13.00</td>\n",
       "      <td>0.202312</td>\n",
       "      <td>2093.937500</td>\n",
       "      <td>2045.0</td>\n",
       "      <td>96.092023</td>\n",
       "      <td>69.512821</td>\n",
       "      <td>70.0</td>\n",
       "      <td>21.263846</td>\n",
       "      <td>13.649474</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Pбуф медиана [атм]  Pбуф ст. откл-е [атм]  Pлин среднее [атм]  \\\n",
       "0                28.3               0.704870           29.197531   \n",
       "1                18.3               1.366678           14.000972   \n",
       "2                15.4               0.659779           14.370403   \n",
       "3                14.2               0.384983           13.223622   \n",
       "4                13.9               0.301033           13.000000   \n",
       "\n",
       "   Pлин медиана [атм]  Pлин ст. откл-е [атм]  Hдин среднее [м]  \\\n",
       "0               29.25               2.133959       1083.563380   \n",
       "1               16.70               6.771844       2352.835650   \n",
       "2               14.40               0.645894       2369.826733   \n",
       "3               13.20               0.498076       2355.052424   \n",
       "4               13.00               0.202312       2093.937500   \n",
       "\n",
       "   Hдин медиана [м]  Hдин ст. откл-е [м]  Загрузка ПЭД среднее [%]  \\\n",
       "0            1079.0           270.109699                 23.981481   \n",
       "1            2351.0            40.397807                 52.293883   \n",
       "2            2401.0           154.580485                 70.222222   \n",
       "3            2368.0            93.347478                 62.996169   \n",
       "4            2045.0            96.092023                 69.512821   \n",
       "\n",
       "   Загрузка ПЭД медиана [%]  Загрузка ПЭД ст. откл-е [%]  \\\n",
       "0                      23.5                     8.043492   \n",
       "1                      56.0                     9.681344   \n",
       "2                      69.0                    11.220006   \n",
       "3                      61.0                     7.875226   \n",
       "4                      70.0                    21.263846   \n",
       "\n",
       "   Ток фазы A среднее [А]  \n",
       "0                9.725909  \n",
       "1                9.000277  \n",
       "2               18.473596  \n",
       "3               14.267363  \n",
       "4               13.649474  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_parts[4].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 7082 entries, 0 to 7081\n",
      "Data columns (total 12 columns):\n",
      " #   Column                       Non-Null Count  Dtype  \n",
      "---  ------                       --------------  -----  \n",
      " 0   Pбуф медиана [атм]           7056 non-null   float64\n",
      " 1   Pбуф ст. откл-е [атм]        7055 non-null   float64\n",
      " 2   Pлин среднее [атм]           6962 non-null   float64\n",
      " 3   Pлин медиана [атм]           6962 non-null   float64\n",
      " 4   Pлин ст. откл-е [атм]        6955 non-null   float64\n",
      " 5   Hдин среднее [м]             7056 non-null   float64\n",
      " 6   Hдин медиана [м]             7056 non-null   float64\n",
      " 7   Hдин ст. откл-е [м]          7055 non-null   float64\n",
      " 8   Загрузка ПЭД среднее [%]     6966 non-null   float64\n",
      " 9   Загрузка ПЭД медиана [%]     6966 non-null   float64\n",
      " 10  Загрузка ПЭД ст. откл-е [%]  6963 non-null   float64\n",
      " 11  Ток фазы A среднее [А]       6967 non-null   float64\n",
      "dtypes: float64(12)\n",
      "memory usage: 664.1 KB\n"
     ]
    }
   ],
   "source": [
    "df_parts[4].info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "------------"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Анализ и очистку данного фрагмента проведем аналогично первому фрагменту."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Ток фазы A медиана [А]</th>\n",
       "      <th>Ток фазы A ст. откл-е [А]</th>\n",
       "      <th>Гф [м3/тн] МЭР</th>\n",
       "      <th>Pнас-я [ат] ТР</th>\n",
       "      <th>Bн [м3/м3] ТР</th>\n",
       "      <th>Tпл [град Ц] ТР</th>\n",
       "      <th>Mн [сПз] ТР</th>\n",
       "      <th>pн [г/см3] ТР</th>\n",
       "      <th>pв [г/см3] ТР</th>\n",
       "      <th>К подачи на устье по среднему</th>\n",
       "      <th>Диаметр ЭЦН [мм]</th>\n",
       "      <th>Каталог ЭЦН. Производитель</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10.650</td>\n",
       "      <td>5.545923</td>\n",
       "      <td>118.386882</td>\n",
       "      <td>97.0</td>\n",
       "      <td>1.15000</td>\n",
       "      <td>92.0</td>\n",
       "      <td>1.73</td>\n",
       "      <td>0.873</td>\n",
       "      <td>1.007</td>\n",
       "      <td>1.971520</td>\n",
       "      <td>69.0</td>\n",
       "      <td>Новомет</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9.210</td>\n",
       "      <td>2.355463</td>\n",
       "      <td>132.341424</td>\n",
       "      <td>82.6</td>\n",
       "      <td>1.11900</td>\n",
       "      <td>90.0</td>\n",
       "      <td>1.77</td>\n",
       "      <td>0.879</td>\n",
       "      <td>1.003</td>\n",
       "      <td>1.511136</td>\n",
       "      <td>92.0</td>\n",
       "      <td>Новомет</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>18.610</td>\n",
       "      <td>2.906696</td>\n",
       "      <td>130.373301</td>\n",
       "      <td>82.6</td>\n",
       "      <td>1.12945</td>\n",
       "      <td>90.0</td>\n",
       "      <td>1.77</td>\n",
       "      <td>0.879</td>\n",
       "      <td>1.003</td>\n",
       "      <td>0.799900</td>\n",
       "      <td>92.0</td>\n",
       "      <td>Новомет</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>13.885</td>\n",
       "      <td>2.215568</td>\n",
       "      <td>138.697610</td>\n",
       "      <td>92.0</td>\n",
       "      <td>1.12945</td>\n",
       "      <td>90.0</td>\n",
       "      <td>1.77</td>\n",
       "      <td>0.879</td>\n",
       "      <td>1.003</td>\n",
       "      <td>0.519932</td>\n",
       "      <td>92.0</td>\n",
       "      <td>Новомет</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>13.990</td>\n",
       "      <td>3.495175</td>\n",
       "      <td>129.226537</td>\n",
       "      <td>92.0</td>\n",
       "      <td>1.10700</td>\n",
       "      <td>90.0</td>\n",
       "      <td>1.70</td>\n",
       "      <td>0.879</td>\n",
       "      <td>1.003</td>\n",
       "      <td>0.899682</td>\n",
       "      <td>103.0</td>\n",
       "      <td>Schlumberger</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Ток фазы A медиана [А]  Ток фазы A ст. откл-е [А]  Гф [м3/тн] МЭР  \\\n",
       "0                  10.650                   5.545923      118.386882   \n",
       "1                   9.210                   2.355463      132.341424   \n",
       "2                  18.610                   2.906696      130.373301   \n",
       "3                  13.885                   2.215568      138.697610   \n",
       "4                  13.990                   3.495175      129.226537   \n",
       "\n",
       "   Pнас-я [ат] ТР  Bн [м3/м3] ТР  Tпл [град Ц] ТР  Mн [сПз] ТР  pн [г/см3] ТР  \\\n",
       "0            97.0        1.15000             92.0         1.73          0.873   \n",
       "1            82.6        1.11900             90.0         1.77          0.879   \n",
       "2            82.6        1.12945             90.0         1.77          0.879   \n",
       "3            92.0        1.12945             90.0         1.77          0.879   \n",
       "4            92.0        1.10700             90.0         1.70          0.879   \n",
       "\n",
       "   pв [г/см3] ТР  К подачи на устье по среднему  Диаметр ЭЦН [мм]  \\\n",
       "0          1.007                       1.971520              69.0   \n",
       "1          1.003                       1.511136              92.0   \n",
       "2          1.003                       0.799900              92.0   \n",
       "3          1.003                       0.519932              92.0   \n",
       "4          1.003                       0.899682             103.0   \n",
       "\n",
       "  Каталог ЭЦН. Производитель  \n",
       "0                    Новомет  \n",
       "1                    Новомет  \n",
       "2                    Новомет  \n",
       "3                    Новомет  \n",
       "4               Schlumberger  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_parts[5].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 7082 entries, 0 to 7081\n",
      "Data columns (total 12 columns):\n",
      " #   Column                         Non-Null Count  Dtype  \n",
      "---  ------                         --------------  -----  \n",
      " 0   Ток фазы A медиана [А]         6967 non-null   float64\n",
      " 1   Ток фазы A ст. откл-е [А]      6965 non-null   float64\n",
      " 2   Гф [м3/тн] МЭР                 7070 non-null   float64\n",
      " 3   Pнас-я [ат] ТР                 7082 non-null   float64\n",
      " 4   Bн [м3/м3] ТР                  7082 non-null   float64\n",
      " 5   Tпл [град Ц] ТР                7082 non-null   float64\n",
      " 6   Mн [сПз] ТР                    7082 non-null   float64\n",
      " 7   pн [г/см3] ТР                  7082 non-null   float64\n",
      " 8   pв [г/см3] ТР                  7082 non-null   float64\n",
      " 9   К подачи на устье по среднему  6995 non-null   float64\n",
      " 10  Диаметр ЭЦН [мм]               7080 non-null   float64\n",
      " 11  Каталог ЭЦН. Производитель     7080 non-null   object \n",
      "dtypes: float64(11), object(1)\n",
      "memory usage: 664.1+ KB\n"
     ]
    }
   ],
   "source": [
    "df_parts[5].info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Каталог ЭЦН. Производитель'].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Новомет', 'Schlumberger', 'Борец', 'Новые технологии', 'Лемаз',\n",
       "       'Алнас', 'СЦ ЭПУ', 'Reda', 'EZLine', 'Алмаз',\n",
       "       'Borets International', 'Ижнефтепласт', nan], dtype=object)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Каталог ЭЦН. Производитель'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---------"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Анализ и очистку данного фрагмента проведем аналогично первому фрагменту."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Номинальный дебит сборки [м3/сут]</th>\n",
       "      <th>Номинальный напор сборки [м]</th>\n",
       "      <th>Номинальная мощность сборки [кВт]</th>\n",
       "      <th>Типоразмер ЭЦН</th>\n",
       "      <th>Энергоэффективность ЭЦН</th>\n",
       "      <th>L вдп [м] ТР</th>\n",
       "      <th>dL вдп [м] ТР</th>\n",
       "      <th>H вдп [м] ТР</th>\n",
       "      <th>L насос [м] ТР</th>\n",
       "      <th>dL насос [м] ТР</th>\n",
       "      <th>H насос [м] ТР</th>\n",
       "      <th>dH вдп-насос [м] ТР</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>80.0</td>\n",
       "      <td>2828.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>2А</td>\n",
       "      <td>e3</td>\n",
       "      <td>2643.78</td>\n",
       "      <td>214.60</td>\n",
       "      <td>2429.18</td>\n",
       "      <td>2544.23</td>\n",
       "      <td>177.73</td>\n",
       "      <td>2366.50</td>\n",
       "      <td>62.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>60.0</td>\n",
       "      <td>2534.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>5</td>\n",
       "      <td>e3</td>\n",
       "      <td>2580.00</td>\n",
       "      <td>1.06</td>\n",
       "      <td>2578.94</td>\n",
       "      <td>2490.29</td>\n",
       "      <td>1.03</td>\n",
       "      <td>2489.26</td>\n",
       "      <td>109.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>80.0</td>\n",
       "      <td>2830.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>5</td>\n",
       "      <td>e2</td>\n",
       "      <td>2582.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2582.00</td>\n",
       "      <td>2547.96</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2547.96</td>\n",
       "      <td>52.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>80.0</td>\n",
       "      <td>2839.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>5</td>\n",
       "      <td>e2</td>\n",
       "      <td>2582.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2582.00</td>\n",
       "      <td>2518.51</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2518.51</td>\n",
       "      <td>63.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>80.0</td>\n",
       "      <td>2857.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>5А</td>\n",
       "      <td>e2</td>\n",
       "      <td>2582.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2582.00</td>\n",
       "      <td>2518.34</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2518.34</td>\n",
       "      <td>63.66</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Номинальный дебит сборки [м3/сут]  Номинальный напор сборки [м]  \\\n",
       "0                               80.0                        2828.0   \n",
       "1                               60.0                        2534.0   \n",
       "2                               80.0                        2830.0   \n",
       "3                               80.0                        2839.0   \n",
       "4                               80.0                        2857.0   \n",
       "\n",
       "   Номинальная мощность сборки [кВт] Типоразмер ЭЦН Энергоэффективность ЭЦН  \\\n",
       "0                               80.0             2А                      e3   \n",
       "1                               50.0              5                      e3   \n",
       "2                               63.0              5                      e2   \n",
       "3                               63.0              5                      e2   \n",
       "4                               56.0             5А                      e2   \n",
       "\n",
       "   L вдп [м] ТР  dL вдп [м] ТР  H вдп [м] ТР  L насос [м] ТР  dL насос [м] ТР  \\\n",
       "0       2643.78         214.60       2429.18         2544.23           177.73   \n",
       "1       2580.00           1.06       2578.94         2490.29             1.03   \n",
       "2       2582.00           0.00       2582.00         2547.96             0.00   \n",
       "3       2582.00           0.00       2582.00         2518.51             0.00   \n",
       "4       2582.00           0.00       2582.00         2518.34             0.00   \n",
       "\n",
       "   H насос [м] ТР  dH вдп-насос [м] ТР  \n",
       "0         2366.50                62.68  \n",
       "1         2489.26               109.97  \n",
       "2         2547.96                52.00  \n",
       "3         2518.51                63.49  \n",
       "4         2518.34                63.66  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_parts[6].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 7082 entries, 0 to 7081\n",
      "Data columns (total 12 columns):\n",
      " #   Column                             Non-Null Count  Dtype  \n",
      "---  ------                             --------------  -----  \n",
      " 0   Номинальный дебит сборки [м3/сут]  7069 non-null   float64\n",
      " 1   Номинальный напор сборки [м]       6989 non-null   float64\n",
      " 2   Номинальная мощность сборки [кВт]  7068 non-null   float64\n",
      " 3   Типоразмер ЭЦН                     7018 non-null   object \n",
      " 4   Энергоэффективность ЭЦН            7080 non-null   object \n",
      " 5   L вдп [м] ТР                       7082 non-null   float64\n",
      " 6   dL вдп [м] ТР                      7075 non-null   float64\n",
      " 7   H вдп [м] ТР                       7075 non-null   float64\n",
      " 8   L насос [м] ТР                     7082 non-null   float64\n",
      " 9   dL насос [м] ТР                    7075 non-null   float64\n",
      " 10  H насос [м] ТР                     7075 non-null   float64\n",
      " 11  dH вдп-насос [м] ТР                7074 non-null   float64\n",
      "dtypes: float64(10), object(2)\n",
      "memory usage: 664.1+ KB\n"
     ]
    }
   ],
   "source": [
    "df_parts[6].info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Типоразмер ЭЦН             5\n",
       "Энергоэффективность ЭЦН    4\n",
       "dtype: int64"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[['Типоразмер ЭЦН', 'Энергоэффективность ЭЦН']].nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "----------"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Анализ и очистку данного фрагмента проведем аналогично первому фрагменту."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dL вдп-насос ТР</th>\n",
       "      <th>D колонны внутренний [мм] ТР</th>\n",
       "      <th>D нкт внешний min [мм] НКТ</th>\n",
       "      <th>D нкт внутренний min [мм] НКТ</th>\n",
       "      <th>Lнкт [м] НКТ</th>\n",
       "      <th>Тип ствола</th>\n",
       "      <th>Дата начала экспл-ии</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>99.55</td>\n",
       "      <td>130.6</td>\n",
       "      <td>60.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>2520.00</td>\n",
       "      <td>Вертикальный</td>\n",
       "      <td>2007-02-24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>110.00</td>\n",
       "      <td>132.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>2449.71</td>\n",
       "      <td>Вертикальный</td>\n",
       "      <td>2010-01-31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>52.00</td>\n",
       "      <td>130.6</td>\n",
       "      <td>73.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>2504.48</td>\n",
       "      <td>Вертикальный</td>\n",
       "      <td>2009-04-21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>63.49</td>\n",
       "      <td>130.6</td>\n",
       "      <td>73.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>2501.21</td>\n",
       "      <td>Вертикальный</td>\n",
       "      <td>2009-04-21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>63.66</td>\n",
       "      <td>130.6</td>\n",
       "      <td>73.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>2497.92</td>\n",
       "      <td>Вертикальный</td>\n",
       "      <td>2009-04-21</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   dL вдп-насос ТР  D колонны внутренний [мм] ТР  D нкт внешний min [мм] НКТ  \\\n",
       "0            99.55                         130.6                        60.0   \n",
       "1           110.00                         132.0                        60.0   \n",
       "2            52.00                         130.6                        73.0   \n",
       "3            63.49                         130.6                        73.0   \n",
       "4            63.66                         130.6                        73.0   \n",
       "\n",
       "   D нкт внутренний min [мм] НКТ  Lнкт [м] НКТ    Тип ствола  \\\n",
       "0                           50.0       2520.00  Вертикальный   \n",
       "1                           50.0       2449.71  Вертикальный   \n",
       "2                           62.0       2504.48  Вертикальный   \n",
       "3                           62.0       2501.21  Вертикальный   \n",
       "4                           62.0       2497.92  Вертикальный   \n",
       "\n",
       "  Дата начала экспл-ии  \n",
       "0           2007-02-24  \n",
       "1           2010-01-31  \n",
       "2           2009-04-21  \n",
       "3           2009-04-21  \n",
       "4           2009-04-21  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_parts[7].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 7082 entries, 0 to 7081\n",
      "Data columns (total 7 columns):\n",
      " #   Column                         Non-Null Count  Dtype         \n",
      "---  ------                         --------------  -----         \n",
      " 0   dL вдп-насос ТР                7082 non-null   float64       \n",
      " 1   D колонны внутренний [мм] ТР   7072 non-null   float64       \n",
      " 2   D нкт внешний min [мм] НКТ     7076 non-null   float64       \n",
      " 3   D нкт внутренний min [мм] НКТ  7076 non-null   float64       \n",
      " 4   Lнкт [м] НКТ                   7076 non-null   float64       \n",
      " 5   Тип ствола                     7082 non-null   object        \n",
      " 6   Дата начала экспл-ии           7082 non-null   datetime64[ns]\n",
      "dtypes: datetime64[ns](1), float64(5), object(1)\n",
      "memory usage: 387.4+ KB\n"
     ]
    }
   ],
   "source": [
    "df_parts[7].info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Тип ствола'].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "col = 'Дата начала экспл-ии'\n",
    "\n",
    "df[f'{col}_day'] = df[col].dt.day\n",
    "df[f'{col}_month'] = df[col].dt.month\n",
    "df[f'{col}_year'] = df[col].dt.year\n",
    "df.drop(columns=[col], inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "------------"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Также выполним приведение типов: категориальным признакам назначим тип 'str', чтобы корректно выполнялись операции в библиотеке lifelines (параметр strata)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "object_columns = df.select_dtypes('object').columns\n",
    "df[object_columns] = df[object_columns].astype(str)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "И подсчитаем количество вещественных признаков."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "80"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "_, n_numeric_features = df.select_dtypes('number').shape\n",
    "n_numeric_features"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 1.1.2.3. <a id='toc1_1_2_3_'></a>[Удаление строк с большой концентрацией пропусков](#toc0_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "В датасете могут присутствовать строки, которые содержат большое количество пропущенных значений. Это может стать проблемой, так как при заполнении пропусков внутри колонок такие строки рискуют стать аномалиями, поскольку они почти полностью состоят из информации, которая не наблюдалась.\n",
    "\n",
    "Поэтому необходимо найти такие строки и удалить те, которые содержат высокую концентрацию пропущенных значений."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Первоначально получим названия столбцов, которые содержат пропуски."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "УРЭ [кВтч/т]                            143\n",
       "УРЭ К [кВтч/т]                          137\n",
       "Qж OIS протяжка среднее [м3/сут]         20\n",
       "Qж OIS протяжка медиана [м3/сут]         20\n",
       "Qж OIS протяжка ст. откл-е [м3/сут]      24\n",
       "Qж мгн среднее [м3/сут]                  20\n",
       "Qж мгн медиана [м3/сут]                  20\n",
       "Qж мгн ст. откл-е [м3/сут]               24\n",
       "Qн OIS протяжка среднее [тн/сут]         20\n",
       "Qн OIS протяжка медиана [тн/сут]         20\n",
       "Qн OIS протяжка ст. откл-е [тн/сут]      24\n",
       "Обв-ть V OIS протяжка среднее [%]        20\n",
       "Обв-ть V OIS протяжка медиана [%]        20\n",
       "Обв-ть V OIS протяжка ст. откл-е [%]     24\n",
       "Pзаб среднее [ат]                        12\n",
       "Pзаб медиана [ат]                        12\n",
       "Pзаб ст. откл-е [ат]                     15\n",
       "Pпласт среднее [ат]                     249\n",
       "Pпл медиана [ат]                        249\n",
       "Pпласт ст. откл-е [ат]                  249\n",
       "Fитог ст. откл-е [Гц]                     9\n",
       "Pбуф среднее [атм]                       26\n",
       "Pбуф медиана [атм]                       26\n",
       "Pбуф ст. откл-е [атм]                    27\n",
       "Pлин среднее [атм]                      120\n",
       "Pлин медиана [атм]                      120\n",
       "Pлин ст. откл-е [атм]                   127\n",
       "Hдин среднее [м]                         26\n",
       "Hдин медиана [м]                         26\n",
       "Hдин ст. откл-е [м]                      27\n",
       "Загрузка ПЭД среднее [%]                116\n",
       "Загрузка ПЭД медиана [%]                116\n",
       "Загрузка ПЭД ст. откл-е [%]             119\n",
       "Ток фазы A среднее [А]                  115\n",
       "Ток фазы A медиана [А]                  115\n",
       "Ток фазы A ст. откл-е [А]               117\n",
       "Гф [м3/тн] МЭР                           12\n",
       "К подачи на устье по среднему            87\n",
       "Диаметр ЭЦН [мм]                          2\n",
       "Номинальный дебит сборки [м3/сут]        13\n",
       "Номинальный напор сборки [м]             93\n",
       "Номинальная мощность сборки [кВт]        14\n",
       "dL вдп [м] ТР                             7\n",
       "H вдп [м] ТР                              7\n",
       "dL насос [м] ТР                           7\n",
       "H насос [м] ТР                            7\n",
       "dH вдп-насос [м] ТР                       8\n",
       "D колонны внутренний [мм] ТР             10\n",
       "D нкт внешний min [мм] НКТ                6\n",
       "D нкт внутренний min [мм] НКТ             6\n",
       "Lнкт [м] НКТ                              6\n",
       "dtype: int64"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp = df.isna().sum()\n",
    "df_nan_pivot = temp[temp != 0]\n",
    "df_nan_columns = df_nan_pivot.index\n",
    "df_nan_pivot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Визуализируем пропуски в датасете средствами библиотеки missingno."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2500x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import missingno as msgn\n",
    "\n",
    "\n",
    "msgn.matrix(df[df_nan_columns])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Получаем, что действительно существуют строки, в которых находится большое количество пропусков. Вычислим эти строки следующим образом: \n",
    "1. рассмотрим все строки, которые содержат пропуски; \n",
    "2. подсчитаем для них долю пропущенных значений;\n",
    "3. вычислим 75-ый процентиль по долям пропусков;\n",
    "4. строки, доля пропусков в которых превышает 75-ый процентиль, отбросим."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "34      0.0125\n",
       "153     0.1125\n",
       "154     0.2625\n",
       "178     0.0125\n",
       "184     0.0125\n",
       "         ...  \n",
       "7075    0.0375\n",
       "7076    0.1375\n",
       "7078    0.1375\n",
       "7079    0.1375\n",
       "7080    0.1375\n",
       "Length: 613, dtype: float64"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nan_distribution = df[df.isna().values.any(axis=1)][df_nan_columns].isna().sum(axis=1) / n_numeric_features\n",
    "nan_distribution "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    613.000000\n",
       "mean       0.057892\n",
       "std        0.059672\n",
       "min        0.012500\n",
       "25%        0.012500\n",
       "50%        0.037500\n",
       "75%        0.050000\n",
       "max        0.387500\n",
       "dtype: float64"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nan_distribution.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Получаем, что 75-ый процентиль составляет 5% пропусков."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Отберем номера строк, в которых доля пропусков превышает этот процентиль."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([ 153,  154,  231,  395,  401,  415,  417,  454,  551,  552,\n",
       "       ...\n",
       "       7054, 7060, 7065, 7067, 7068, 7069, 7076, 7078, 7079, 7080],\n",
       "      dtype='int64', length=149)"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nan_row_ids = nan_distribution[nan_distribution > 0.05].index\n",
    "nan_row_ids"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "И отбросим их."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(nan_row_ids, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.1.3. <a id='toc1_1_3_'></a>[Формирование обучающей и тестирующей выборок](#toc0_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Для построения статистических моделей, а также их проверки, необходимо сформировать обучающий и тестовый наборы данных."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "При помощи метода `train_test_split` сформируем обучающую и тестовую выборки. Поскольку в исходном датасете около 7000 записей, на тест оставим 15% данных. При этом обязательно выполним стратификацию, чтобы и в train-, и в test-выборках сохранялась пропорция цензурированных данных.\n",
    "\n",
    "Дополнительно, перемешаем данные, чтобы в них не было временных и порядковых зависимостей, которые могли возникнуть при сборе датаета и порядке хранения записей в БД."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Необходимо выделить обучающий и тестовый датасеты именно на данном этапе, чтобы не допустить утечки данных."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`Исправление после валидации` На тест было отправлено не по одному экземпляру каждых данных (с разным признаком отказа), а была сформирована целая выборка + устранена проблема с неправильной интерпретацией признака отказа (когда 0 и 1 были поменяны местами). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_columns = ['Дней в работе', 'Признак отказа']\n",
    "\n",
    "train_df, test_df = train_test_split(df, shuffle=True, stratify=df['Признак отказа'], random_state=seed, test_size=0.15)\n",
    "\n",
    "X_train, X_test = train_df.drop(columns=y_columns), test_df.drop(columns=y_columns)\n",
    "y_train, y_test = train_df[y_columns], test_df[y_columns]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.1.4. <a id='toc1_1_4_'></a>[Обработка категориальных признаков](#toc0_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Помимо вещественных признаков, датасет содержит категориальные признаки. Некоторые модели не могут автоматически их преобразовывать, потому необходима ручная кодировка данных значений в численный формат."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 1.1.4.1. <a id='toc1_1_4_1_'></a>[Выделение фрагментов категориальных данных](#toc0_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Первоначально необходимо отобрать категориальные признаки. Поскольку по результатам первоначальной обработки все численные признаки стали иметь корректный тип данных, отберем категориальные данные при помощи метода `DataFrame.select_dtypes()`, который отбирает те столбцы датафрейма, которые соответствуют необходимому типу, в данном случае -- `object`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Режим гр-ка', 'Группа', 'Группа ПКВ', 'Каталог ЭЦН. Производитель',\n",
       "       'Типоразмер ЭЦН', 'Энергоэффективность ЭЦН', 'Тип ствола'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "object_columns = X_train.select_dtypes('object').columns\n",
    "object_columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Далее отобразим полученные фрагменты, сводную информацию о них, а также проверим, что обучающая выборка содержит представителей каждой уникальной категории относительно каждого признака."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Режим гр-ка</th>\n",
       "      <th>Группа</th>\n",
       "      <th>Группа ПКВ</th>\n",
       "      <th>Каталог ЭЦН. Производитель</th>\n",
       "      <th>Типоразмер ЭЦН</th>\n",
       "      <th>Энергоэффективность ЭЦН</th>\n",
       "      <th>Тип ствола</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ПКВ;ПДФ</td>\n",
       "      <td>Группа ПКВ</td>\n",
       "      <td>Без группы</td>\n",
       "      <td>Новомет</td>\n",
       "      <td>2А</td>\n",
       "      <td>e3</td>\n",
       "      <td>Вертикальный</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ПКВ</td>\n",
       "      <td>Группа ПКВ</td>\n",
       "      <td>Без группы</td>\n",
       "      <td>Новомет</td>\n",
       "      <td>5</td>\n",
       "      <td>e3</td>\n",
       "      <td>Вертикальный</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ПКВ</td>\n",
       "      <td>Группа ПКВ</td>\n",
       "      <td>Без группы</td>\n",
       "      <td>Новомет</td>\n",
       "      <td>5</td>\n",
       "      <td>e2</td>\n",
       "      <td>Вертикальный</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ПКВ</td>\n",
       "      <td>Группа ПКВ</td>\n",
       "      <td>Без группы</td>\n",
       "      <td>Новомет</td>\n",
       "      <td>5</td>\n",
       "      <td>e2</td>\n",
       "      <td>Вертикальный</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ПКВ</td>\n",
       "      <td>Группа ПКВ</td>\n",
       "      <td>Без группы</td>\n",
       "      <td>Schlumberger</td>\n",
       "      <td>5А</td>\n",
       "      <td>e2</td>\n",
       "      <td>Вертикальный</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Режим гр-ка      Группа  Группа ПКВ Каталог ЭЦН. Производитель  \\\n",
       "0     ПКВ;ПДФ  Группа ПКВ  Без группы                    Новомет   \n",
       "1         ПКВ  Группа ПКВ  Без группы                    Новомет   \n",
       "2         ПКВ  Группа ПКВ  Без группы                    Новомет   \n",
       "3         ПКВ  Группа ПКВ  Без группы                    Новомет   \n",
       "4         ПКВ  Группа ПКВ  Без группы               Schlumberger   \n",
       "\n",
       "  Типоразмер ЭЦН Энергоэффективность ЭЦН    Тип ствола  \n",
       "0             2А                      e3  Вертикальный  \n",
       "1              5                      e3  Вертикальный  \n",
       "2              5                      e2  Вертикальный  \n",
       "3              5                      e2  Вертикальный  \n",
       "4             5А                      e2  Вертикальный  "
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[object_columns].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 6933 entries, 0 to 7081\n",
      "Data columns (total 7 columns):\n",
      " #   Column                      Non-Null Count  Dtype \n",
      "---  ------                      --------------  ----- \n",
      " 0   Режим гр-ка                 6933 non-null   object\n",
      " 1   Группа                      6933 non-null   object\n",
      " 2   Группа ПКВ                  6933 non-null   object\n",
      " 3   Каталог ЭЦН. Производитель  6933 non-null   object\n",
      " 4   Типоразмер ЭЦН              6933 non-null   object\n",
      " 5   Энергоэффективность ЭЦН     6933 non-null   object\n",
      " 6   Тип ствола                  6933 non-null   object\n",
      "dtypes: object(7)\n",
      "memory usage: 433.3+ KB\n"
     ]
    }
   ],
   "source": [
    "df[object_columns].info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Режим гр-ка                   0\n",
       "Группа                        0\n",
       "Группа ПКВ                    0\n",
       "Каталог ЭЦН. Производитель    0\n",
       "Типоразмер ЭЦН                0\n",
       "Энергоэффективность ЭЦН       0\n",
       "Тип ствола                    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[object_columns].nunique() - X_train[object_columns].nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Сформируем категориальную обучающую выборку."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Режим гр-ка</th>\n",
       "      <th>Группа</th>\n",
       "      <th>Группа ПКВ</th>\n",
       "      <th>Каталог ЭЦН. Производитель</th>\n",
       "      <th>Типоразмер ЭЦН</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>955</th>\n",
       "      <td>ПКВ;ПДФ</td>\n",
       "      <td>Группа ПКВ</td>\n",
       "      <td>ПКВ 24</td>\n",
       "      <td>Schlumberger</td>\n",
       "      <td>5А</td>\n",
       "      <td>e2</td>\n",
       "      <td>Горизонтальный</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3841</th>\n",
       "      <td>ПДФ;ПКВ</td>\n",
       "      <td>Группа ПДФ</td>\n",
       "      <td>Группа ПДФ</td>\n",
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       "      <td>3</td>\n",
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       "      <td>Наклонно-направленный</td>\n",
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       "    <tr>\n",
       "      <th>3731</th>\n",
       "      <td>ПКВ</td>\n",
       "      <td>Группа ПКВ</td>\n",
       "      <td>Без группы</td>\n",
       "      <td>Борец</td>\n",
       "      <td>5</td>\n",
       "      <td>e2</td>\n",
       "      <td>Наклонно-направленный</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3417</th>\n",
       "      <td>ПДФ;ПКВ</td>\n",
       "      <td>Группа ПКВ</td>\n",
       "      <td>ПКВ 48</td>\n",
       "      <td>Schlumberger</td>\n",
       "      <td>5А</td>\n",
       "      <td>e2</td>\n",
       "      <td>Горизонтальный</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2533</th>\n",
       "      <td>ПКВ</td>\n",
       "      <td>Группа ПКВ</td>\n",
       "      <td>ПКВ 48</td>\n",
       "      <td>Новые технологии</td>\n",
       "      <td>5</td>\n",
       "      <td>e1</td>\n",
       "      <td>Горизонтальный</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4056</th>\n",
       "      <td>ПКВ</td>\n",
       "      <td>Группа ПКВ</td>\n",
       "      <td>ПКВ 24</td>\n",
       "      <td>Борец</td>\n",
       "      <td>5А</td>\n",
       "      <td>e2</td>\n",
       "      <td>Горизонтальный</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5942</th>\n",
       "      <td>ПДФ;ПКВ</td>\n",
       "      <td>Группа ПКВ</td>\n",
       "      <td>Без группы</td>\n",
       "      <td>Schlumberger</td>\n",
       "      <td>5А</td>\n",
       "      <td>e2</td>\n",
       "      <td>Наклонно-направленный</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>670</th>\n",
       "      <td>ПКВ;ПДФ</td>\n",
       "      <td>Группа ПКВ</td>\n",
       "      <td>Без группы</td>\n",
       "      <td>Schlumberger</td>\n",
       "      <td>5А</td>\n",
       "      <td>e2</td>\n",
       "      <td>Наклонно-направленный</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3012</th>\n",
       "      <td>ПКВ</td>\n",
       "      <td>Группа ПКВ</td>\n",
       "      <td>ПКВ 48</td>\n",
       "      <td>Борец</td>\n",
       "      <td>5А</td>\n",
       "      <td>e2</td>\n",
       "      <td>Горизонтальный</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>ПКВ</td>\n",
       "      <td>Группа ПКВ</td>\n",
       "      <td>ПКВ 48</td>\n",
       "      <td>Борец</td>\n",
       "      <td>5А</td>\n",
       "      <td>e2</td>\n",
       "      <td>Наклонно-направленный</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5893 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Режим гр-ка      Группа  Группа ПКВ Каталог ЭЦН. Производитель  \\\n",
       "955      ПКВ;ПДФ  Группа ПКВ      ПКВ 24               Schlumberger   \n",
       "3841     ПДФ;ПКВ  Группа ПДФ  Группа ПДФ                    Новомет   \n",
       "3731         ПКВ  Группа ПКВ  Без группы                      Борец   \n",
       "3417     ПДФ;ПКВ  Группа ПКВ      ПКВ 48               Schlumberger   \n",
       "2533         ПКВ  Группа ПКВ      ПКВ 48           Новые технологии   \n",
       "...          ...         ...         ...                        ...   \n",
       "4056         ПКВ  Группа ПКВ      ПКВ 24                      Борец   \n",
       "5942     ПДФ;ПКВ  Группа ПКВ  Без группы               Schlumberger   \n",
       "670      ПКВ;ПДФ  Группа ПКВ  Без группы               Schlumberger   \n",
       "3012         ПКВ  Группа ПКВ      ПКВ 48                      Борец   \n",
       "189          ПКВ  Группа ПКВ      ПКВ 48                      Борец   \n",
       "\n",
       "     Типоразмер ЭЦН Энергоэффективность ЭЦН             Тип ствола  \n",
       "955              5А                      e2         Горизонтальный  \n",
       "3841              3                      e1  Наклонно-направленный  \n",
       "3731              5                      e2  Наклонно-направленный  \n",
       "3417             5А                      e2         Горизонтальный  \n",
       "2533              5                      e1         Горизонтальный  \n",
       "...             ...                     ...                    ...  \n",
       "4056             5А                      e2         Горизонтальный  \n",
       "5942             5А                      e2  Наклонно-направленный  \n",
       "670              5А                      e2  Наклонно-направленный  \n",
       "3012             5А                      e2         Горизонтальный  \n",
       "189              5А                      e2  Наклонно-направленный  \n",
       "\n",
       "[5893 rows x 7 columns]"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "object_train = X_train.select_dtypes('object')\n",
    "object_train"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Аналогичные действия выполним для тестовой выборки."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Каталог ЭЦН. Производитель</th>\n",
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      ],
      "text/plain": [
       "     Режим гр-ка      Группа  Группа ПКВ Каталог ЭЦН. Производитель  \\\n",
       "6068     ПДФ;ПКВ  Без группы  Без группы               Schlumberger   \n",
       "3156         ПКВ  Группа ПКВ      ПКВ 48               Schlumberger   \n",
       "5160         ПКВ  Группа ПКВ  Без группы           Новые технологии   \n",
       "3890         ПКВ  Группа ПКВ  Без группы                    Новомет   \n",
       "2141         ПКВ  Группа ПКВ      ПКВ 48                      Борец   \n",
       "...          ...         ...         ...                        ...   \n",
       "2087     ПДФ;ПКВ  Без группы  Без группы                      Лемаз   \n",
       "6562         ПКВ  Группа ПКВ  Без группы                      Борец   \n",
       "1179         ПКВ  Группа ПКВ      ПКВ 48           Новые технологии   \n",
       "4913         ПКВ  Группа ПКВ      ПКВ 48                      Борец   \n",
       "920      ПКВ;ПДФ  Группа ПКВ      ПКВ 24                      Борец   \n",
       "\n",
       "     Типоразмер ЭЦН Энергоэффективность ЭЦН             Тип ствола  \n",
       "6068             5А                      e2         Горизонтальный  \n",
       "3156             5А                      e2         Горизонтальный  \n",
       "5160              5                      e2  Наклонно-направленный  \n",
       "3890              3                      e1  Наклонно-направленный  \n",
       "2141              5                      e2  Наклонно-направленный  \n",
       "...             ...                     ...                    ...  \n",
       "2087              5                      e2         Горизонтальный  \n",
       "6562             5А                      e2         Горизонтальный  \n",
       "1179              5                      e3  Наклонно-направленный  \n",
       "4913             5А                      e2         Горизонтальный  \n",
       "920               5                      e2  Наклонно-направленный  \n",
       "\n",
       "[1040 rows x 7 columns]"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "object_test = X_test.select_dtypes('object')\n",
    "object_test"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 1.1.4.2. <a id='toc1_1_4_2_'></a>[Кодирование категориальных данных](#toc0_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "В данном пункте осуществим кодирование категориальных данных при помощи метода One-Hot Encoding."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One-Hot Encoding — метод преобразования равнозначных категориальных признаков в числовые. Для каждой категории создаётся отдельный бинарный столбец: 1, если объект принадлежит категории, и 0 — иначе.\n",
    "\n",
    "Чтобы избежать мультиколлинеарности, возникающей при данном виде кодирования, можно удалить один из one-hot столбцов. Это не приведёт к потере информации, так как его значение можно восстановить по остальным.\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Поскольку относительно категориальных признаков не наблюдается отношения порядка, данный метод хорошо применим."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Класс `OneHotEncoder` реализован в библиотеке `sklearn`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import OneHotEncoder"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Преобразуем равноценные категориальные данные и сохраним их в переменные `one_hot_train` и `one_hot_test`. \n",
    "\n",
    "Для удаления одного из столбцов воспользуемся параметром `drop='first'`. Также для сохранения наименования столбцов сформируем датафрейм из сырых данных, выдаваемых методами `OneHotEncoder.fit_transform()` и `OneHotEncoder.transform()`, при помощи матрицы one-hot данных `encoded_data`, а также наименования one-hot столбцов, получаемых из метода `OneHotEncoder.get_feature_names_out()`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "one_hot_encoder = OneHotEncoder(sparse_output=False, drop='first')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
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       "    <tr>\n",
       "      <th>5890</th>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>5891</th>\n",
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       "    <tr>\n",
       "      <th>5892</th>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>5893 rows × 48 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Режим гр-ка_АПВ;ПКВ;ПДФ  Режим гр-ка_ПДФ  Режим гр-ка_ПДФ;АПВ  \\\n",
       "0                         0.0              0.0                  0.0   \n",
       "1                         0.0              0.0                  0.0   \n",
       "2                         0.0              0.0                  0.0   \n",
       "3                         0.0              0.0                  0.0   \n",
       "4                         0.0              0.0                  0.0   \n",
       "...                       ...              ...                  ...   \n",
       "5888                      0.0              0.0                  0.0   \n",
       "5889                      0.0              0.0                  0.0   \n",
       "5890                      0.0              0.0                  0.0   \n",
       "5891                      0.0              0.0                  0.0   \n",
       "5892                      0.0              0.0                  0.0   \n",
       "\n",
       "      Режим гр-ка_ПДФ;АПВ;ПКВ  Режим гр-ка_ПДФ;ПКВ  Режим гр-ка_ПДФ;ПКВ;АПВ  \\\n",
       "0                         0.0                  0.0                      0.0   \n",
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       "2                         0.0                  0.0                      0.0   \n",
       "3                         0.0                  1.0                      0.0   \n",
       "4                         0.0                  0.0                      0.0   \n",
       "...                       ...                  ...                      ...   \n",
       "5888                      0.0                  0.0                      0.0   \n",
       "5889                      0.0                  1.0                      0.0   \n",
       "5890                      0.0                  0.0                      0.0   \n",
       "5891                      0.0                  0.0                      0.0   \n",
       "5892                      0.0                  0.0                      0.0   \n",
       "\n",
       "      Режим гр-ка_ПДФ;ПКВ;ЧЧ  Режим гр-ка_ПДФ;ПКВ;ЧЧ;АПВ  \\\n",
       "0                        0.0                         0.0   \n",
       "1                        0.0                         0.0   \n",
       "2                        0.0                         0.0   \n",
       "3                        0.0                         0.0   \n",
       "4                        0.0                         0.0   \n",
       "...                      ...                         ...   \n",
       "5888                     0.0                         0.0   \n",
       "5889                     0.0                         0.0   \n",
       "5890                     0.0                         0.0   \n",
       "5891                     0.0                         0.0   \n",
       "5892                     0.0                         0.0   \n",
       "\n",
       "      Режим гр-ка_ПДФ;ЧЧ;ПКВ  Режим гр-ка_ПКВ  ...  Типоразмер ЭЦН_4  \\\n",
       "0                        0.0              0.0  ...               0.0   \n",
       "1                        0.0              0.0  ...               0.0   \n",
       "2                        0.0              1.0  ...               0.0   \n",
       "3                        0.0              0.0  ...               0.0   \n",
       "4                        0.0              1.0  ...               0.0   \n",
       "...                      ...              ...  ...               ...   \n",
       "5888                     0.0              1.0  ...               0.0   \n",
       "5889                     0.0              0.0  ...               0.0   \n",
       "5890                     0.0              0.0  ...               0.0   \n",
       "5891                     0.0              1.0  ...               0.0   \n",
       "5892                     0.0              1.0  ...               0.0   \n",
       "\n",
       "      Типоразмер ЭЦН_5  Типоразмер ЭЦН_5А  Типоразмер ЭЦН_nan  \\\n",
       "0                  0.0                1.0                 0.0   \n",
       "1                  0.0                0.0                 0.0   \n",
       "2                  1.0                0.0                 0.0   \n",
       "3                  0.0                1.0                 0.0   \n",
       "4                  1.0                0.0                 0.0   \n",
       "...                ...                ...                 ...   \n",
       "5888               0.0                1.0                 0.0   \n",
       "5889               0.0                1.0                 0.0   \n",
       "5890               0.0                1.0                 0.0   \n",
       "5891               0.0                1.0                 0.0   \n",
       "5892               0.0                1.0                 0.0   \n",
       "\n",
       "      Энергоэффективность ЭЦН_e1  Энергоэффективность ЭЦН_e2  \\\n",
       "0                            0.0                         1.0   \n",
       "1                            1.0                         0.0   \n",
       "2                            0.0                         1.0   \n",
       "3                            0.0                         1.0   \n",
       "4                            1.0                         0.0   \n",
       "...                          ...                         ...   \n",
       "5888                         0.0                         1.0   \n",
       "5889                         0.0                         1.0   \n",
       "5890                         0.0                         1.0   \n",
       "5891                         0.0                         1.0   \n",
       "5892                         0.0                         1.0   \n",
       "\n",
       "      Энергоэффективность ЭЦН_e3  Энергоэффективность ЭЦН_nan  \\\n",
       "0                            0.0                          0.0   \n",
       "1                            0.0                          0.0   \n",
       "2                            0.0                          0.0   \n",
       "3                            0.0                          0.0   \n",
       "4                            0.0                          0.0   \n",
       "...                          ...                          ...   \n",
       "5888                         0.0                          0.0   \n",
       "5889                         0.0                          0.0   \n",
       "5890                         0.0                          0.0   \n",
       "5891                         0.0                          0.0   \n",
       "5892                         0.0                          0.0   \n",
       "\n",
       "      Тип ствола_Горизонтальный  Тип ствола_Наклонно-направленный  \n",
       "0                           1.0                               0.0  \n",
       "1                           0.0                               1.0  \n",
       "2                           0.0                               1.0  \n",
       "3                           1.0                               0.0  \n",
       "4                           1.0                               0.0  \n",
       "...                         ...                               ...  \n",
       "5888                        1.0                               0.0  \n",
       "5889                        0.0                               1.0  \n",
       "5890                        0.0                               1.0  \n",
       "5891                        1.0                               0.0  \n",
       "5892                        0.0                               1.0  \n",
       "\n",
       "[5893 rows x 48 columns]"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "encoded_data = one_hot_encoder.fit_transform(object_train)\n",
    "\n",
    "one_hot_train = pd.DataFrame(\n",
    "    encoded_data,\n",
    "    columns=one_hot_encoder.get_feature_names_out(object_columns)\n",
    ")\n",
    "one_hot_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Режим гр-ка_АПВ;ПКВ;ПДФ</th>\n",
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       "      <th>2</th>\n",
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       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1039</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1040 rows × 48 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Режим гр-ка_АПВ;ПКВ;ПДФ  Режим гр-ка_ПДФ  Режим гр-ка_ПДФ;АПВ  \\\n",
       "0                         0.0              0.0                  0.0   \n",
       "1                         0.0              0.0                  0.0   \n",
       "2                         0.0              0.0                  0.0   \n",
       "3                         0.0              0.0                  0.0   \n",
       "4                         0.0              0.0                  0.0   \n",
       "...                       ...              ...                  ...   \n",
       "1035                      0.0              0.0                  0.0   \n",
       "1036                      0.0              0.0                  0.0   \n",
       "1037                      0.0              0.0                  0.0   \n",
       "1038                      0.0              0.0                  0.0   \n",
       "1039                      0.0              0.0                  0.0   \n",
       "\n",
       "      Режим гр-ка_ПДФ;АПВ;ПКВ  Режим гр-ка_ПДФ;ПКВ  Режим гр-ка_ПДФ;ПКВ;АПВ  \\\n",
       "0                         0.0                  1.0                      0.0   \n",
       "1                         0.0                  0.0                      0.0   \n",
       "2                         0.0                  0.0                      0.0   \n",
       "3                         0.0                  0.0                      0.0   \n",
       "4                         0.0                  0.0                      0.0   \n",
       "...                       ...                  ...                      ...   \n",
       "1035                      0.0                  1.0                      0.0   \n",
       "1036                      0.0                  0.0                      0.0   \n",
       "1037                      0.0                  0.0                      0.0   \n",
       "1038                      0.0                  0.0                      0.0   \n",
       "1039                      0.0                  0.0                      0.0   \n",
       "\n",
       "      Режим гр-ка_ПДФ;ПКВ;ЧЧ  Режим гр-ка_ПДФ;ПКВ;ЧЧ;АПВ  \\\n",
       "0                        0.0                         0.0   \n",
       "1                        0.0                         0.0   \n",
       "2                        0.0                         0.0   \n",
       "3                        0.0                         0.0   \n",
       "4                        0.0                         0.0   \n",
       "...                      ...                         ...   \n",
       "1035                     0.0                         0.0   \n",
       "1036                     0.0                         0.0   \n",
       "1037                     0.0                         0.0   \n",
       "1038                     0.0                         0.0   \n",
       "1039                     0.0                         0.0   \n",
       "\n",
       "      Режим гр-ка_ПДФ;ЧЧ;ПКВ  Режим гр-ка_ПКВ  ...  Типоразмер ЭЦН_4  \\\n",
       "0                        0.0              0.0  ...               0.0   \n",
       "1                        0.0              1.0  ...               0.0   \n",
       "2                        0.0              1.0  ...               0.0   \n",
       "3                        0.0              1.0  ...               0.0   \n",
       "4                        0.0              1.0  ...               0.0   \n",
       "...                      ...              ...  ...               ...   \n",
       "1035                     0.0              0.0  ...               0.0   \n",
       "1036                     0.0              1.0  ...               0.0   \n",
       "1037                     0.0              1.0  ...               0.0   \n",
       "1038                     0.0              1.0  ...               0.0   \n",
       "1039                     0.0              0.0  ...               0.0   \n",
       "\n",
       "      Типоразмер ЭЦН_5  Типоразмер ЭЦН_5А  Типоразмер ЭЦН_nan  \\\n",
       "0                  0.0                1.0                 0.0   \n",
       "1                  0.0                1.0                 0.0   \n",
       "2                  1.0                0.0                 0.0   \n",
       "3                  0.0                0.0                 0.0   \n",
       "4                  1.0                0.0                 0.0   \n",
       "...                ...                ...                 ...   \n",
       "1035               1.0                0.0                 0.0   \n",
       "1036               0.0                1.0                 0.0   \n",
       "1037               1.0                0.0                 0.0   \n",
       "1038               0.0                1.0                 0.0   \n",
       "1039               1.0                0.0                 0.0   \n",
       "\n",
       "      Энергоэффективность ЭЦН_e1  Энергоэффективность ЭЦН_e2  \\\n",
       "0                            0.0                         1.0   \n",
       "1                            0.0                         1.0   \n",
       "2                            0.0                         1.0   \n",
       "3                            1.0                         0.0   \n",
       "4                            0.0                         1.0   \n",
       "...                          ...                         ...   \n",
       "1035                         0.0                         1.0   \n",
       "1036                         0.0                         1.0   \n",
       "1037                         0.0                         0.0   \n",
       "1038                         0.0                         1.0   \n",
       "1039                         0.0                         1.0   \n",
       "\n",
       "      Энергоэффективность ЭЦН_e3  Энергоэффективность ЭЦН_nan  \\\n",
       "0                            0.0                          0.0   \n",
       "1                            0.0                          0.0   \n",
       "2                            0.0                          0.0   \n",
       "3                            0.0                          0.0   \n",
       "4                            0.0                          0.0   \n",
       "...                          ...                          ...   \n",
       "1035                         0.0                          0.0   \n",
       "1036                         0.0                          0.0   \n",
       "1037                         1.0                          0.0   \n",
       "1038                         0.0                          0.0   \n",
       "1039                         0.0                          0.0   \n",
       "\n",
       "      Тип ствола_Горизонтальный  Тип ствола_Наклонно-направленный  \n",
       "0                           1.0                               0.0  \n",
       "1                           1.0                               0.0  \n",
       "2                           0.0                               1.0  \n",
       "3                           0.0                               1.0  \n",
       "4                           0.0                               1.0  \n",
       "...                         ...                               ...  \n",
       "1035                        1.0                               0.0  \n",
       "1036                        1.0                               0.0  \n",
       "1037                        0.0                               1.0  \n",
       "1038                        1.0                               0.0  \n",
       "1039                        0.0                               1.0  \n",
       "\n",
       "[1040 rows x 48 columns]"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "encoded_data = one_hot_encoder.transform(object_test)\n",
    "\n",
    "one_hot_test = pd.DataFrame(\n",
    "    encoded_data,\n",
    "    columns=one_hot_encoder.get_feature_names_out(object_columns)\n",
    ")\n",
    "one_hot_test"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.1.5. <a id='toc1_1_5_'></a>[Обработка вещественных признаков](#toc0_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Для построения моделей выживаемости необходимо, чтобы вещественные признаки не имели пропусков, поскольку данные модели не умеют их обрабатывать автоматически. Этому посвящен данный раздел.\n",
    "\n",
    "Поскольку строится модель, основанная на исторических наблюдениях, опасно удалять аномалии и выбросы, так как они отражают реальный цикл работы оборудования. По этой причине в обработку вещественных признаков включается исключительно обработка пропущенных значений, без которой модели невозможно построить в программном виде."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 1.1.5.1. <a id='toc1_1_5_1_'></a>[Выделение вещественного датасета](#toc0_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Первоначально необходимо сформировать вещественный участок исходного набора данных. Поскольку по результатам первичной обработки типов данных были выделены численные (целочисленные и вещественные) и категориальные признаки (тип данных `object`), отберем численный фрагмент, исключив из исходного набора данных категориальные признаки (чтобы не формировать отдельно целочисленный и вещественный фрагмент, а затем объединять его).\n",
    "\n",
    "Сделаем это при помощи метода `DataFrame.select_dtypes()` и параметра `exclude='object'`, который служит фильтром типов данных (в данном случае, не попадут в итоговой фрагмент только категориальные данные)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Сутки вращения насоса</th>\n",
       "      <th>Кол-во циклов ПКВ</th>\n",
       "      <th>УРЭ [кВтч/т]</th>\n",
       "      <th>УРЭ К [кВтч/т]</th>\n",
       "      <th>Э/э (Wакт) [кВт*ч]</th>\n",
       "      <th>Э/э реакт. (ТМ)</th>\n",
       "      <th>Э/э счет. (ТМ) [Вт]</th>\n",
       "      <th>Qж OIS протяжка среднее [м3/сут]</th>\n",
       "      <th>Qж OIS протяжка медиана [м3/сут]</th>\n",
       "      <th>Qж OIS протяжка ст. откл-е [м3/сут]</th>\n",
       "      <th>...</th>\n",
       "      <th>Lнкт [м] НКТ</th>\n",
       "      <th>ЭРА.Дата монтажа_day</th>\n",
       "      <th>ЭРА.Дата монтажа_month</th>\n",
       "      <th>ЭРА.Дата монтажа_year</th>\n",
       "      <th>Дата первой работы сборки_day</th>\n",
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       "      <th>Дата начала экспл-ии_month</th>\n",
       "      <th>Дата начала экспл-ии_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>955</th>\n",
       "      <td>450.297712</td>\n",
       "      <td>26075.578249</td>\n",
       "      <td>34.653278</td>\n",
       "      <td>52.948092</td>\n",
       "      <td>954814.29</td>\n",
       "      <td>157105.99</td>\n",
       "      <td>633718.80</td>\n",
       "      <td>21.631619</td>\n",
       "      <td>22.830</td>\n",
       "      <td>5.920656</td>\n",
       "      <td>...</td>\n",
       "      <td>3282.09</td>\n",
       "      <td>28</td>\n",
       "      <td>5</td>\n",
       "      <td>2020</td>\n",
       "      <td>29</td>\n",
       "      <td>5</td>\n",
       "      <td>2020</td>\n",
       "      <td>30</td>\n",
       "      <td>9</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3841</th>\n",
       "      <td>386.191898</td>\n",
       "      <td>97.066667</td>\n",
       "      <td>28.575251</td>\n",
       "      <td>31.485219</td>\n",
       "      <td>515777.79</td>\n",
       "      <td>686.27</td>\n",
       "      <td>456393.40</td>\n",
       "      <td>48.617424</td>\n",
       "      <td>48.090</td>\n",
       "      <td>7.643591</td>\n",
       "      <td>...</td>\n",
       "      <td>3125.94</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>2021</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>2021</td>\n",
       "      <td>10</td>\n",
       "      <td>4</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3731</th>\n",
       "      <td>147.952820</td>\n",
       "      <td>45277.024731</td>\n",
       "      <td>21.799052</td>\n",
       "      <td>27.153896</td>\n",
       "      <td>213986.18</td>\n",
       "      <td>137097.60</td>\n",
       "      <td>169233.60</td>\n",
       "      <td>8.503688</td>\n",
       "      <td>7.760</td>\n",
       "      <td>2.180921</td>\n",
       "      <td>...</td>\n",
       "      <td>2810.03</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "      <td>2022</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>2022</td>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "      <td>2021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3417</th>\n",
       "      <td>204.273773</td>\n",
       "      <td>37714.033333</td>\n",
       "      <td>20.936685</td>\n",
       "      <td>26.216107</td>\n",
       "      <td>338070.42</td>\n",
       "      <td>254447.87</td>\n",
       "      <td>267250.10</td>\n",
       "      <td>19.544727</td>\n",
       "      <td>17.470</td>\n",
       "      <td>3.672767</td>\n",
       "      <td>...</td>\n",
       "      <td>3063.19</td>\n",
       "      <td>27</td>\n",
       "      <td>11</td>\n",
       "      <td>2021</td>\n",
       "      <td>29</td>\n",
       "      <td>11</td>\n",
       "      <td>2021</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2533</th>\n",
       "      <td>118.588889</td>\n",
       "      <td>10675.733333</td>\n",
       "      <td>36.482304</td>\n",
       "      <td>40.574882</td>\n",
       "      <td>160737.56</td>\n",
       "      <td>18609.50</td>\n",
       "      <td>151153.00</td>\n",
       "      <td>21.500347</td>\n",
       "      <td>20.700</td>\n",
       "      <td>7.470491</td>\n",
       "      <td>...</td>\n",
       "      <td>2920.00</td>\n",
       "      <td>19</td>\n",
       "      <td>3</td>\n",
       "      <td>2020</td>\n",
       "      <td>20</td>\n",
       "      <td>3</td>\n",
       "      <td>2020</td>\n",
       "      <td>25</td>\n",
       "      <td>5</td>\n",
       "      <td>2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4056</th>\n",
       "      <td>163.577338</td>\n",
       "      <td>11285.250000</td>\n",
       "      <td>19.205000</td>\n",
       "      <td>21.983098</td>\n",
       "      <td>366740.52</td>\n",
       "      <td>210098.09</td>\n",
       "      <td>327722.60</td>\n",
       "      <td>46.220574</td>\n",
       "      <td>38.000</td>\n",
       "      <td>25.026783</td>\n",
       "      <td>...</td>\n",
       "      <td>2644.84</td>\n",
       "      <td>13</td>\n",
       "      <td>7</td>\n",
       "      <td>2022</td>\n",
       "      <td>14</td>\n",
       "      <td>7</td>\n",
       "      <td>2022</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5942</th>\n",
       "      <td>62.121435</td>\n",
       "      <td>39325.600000</td>\n",
       "      <td>21.001846</td>\n",
       "      <td>34.429198</td>\n",
       "      <td>90272.70</td>\n",
       "      <td>4336.00</td>\n",
       "      <td>52327.84</td>\n",
       "      <td>3.252371</td>\n",
       "      <td>3.238</td>\n",
       "      <td>0.259234</td>\n",
       "      <td>...</td>\n",
       "      <td>2581.99</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>2022</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>2022</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>670</th>\n",
       "      <td>151.076898</td>\n",
       "      <td>52260.200000</td>\n",
       "      <td>37.930687</td>\n",
       "      <td>41.530553</td>\n",
       "      <td>226427.50</td>\n",
       "      <td>89230.64</td>\n",
       "      <td>149397.80</td>\n",
       "      <td>4.270435</td>\n",
       "      <td>3.720</td>\n",
       "      <td>1.442905</td>\n",
       "      <td>...</td>\n",
       "      <td>2869.26</td>\n",
       "      <td>27</td>\n",
       "      <td>6</td>\n",
       "      <td>2020</td>\n",
       "      <td>30</td>\n",
       "      <td>6</td>\n",
       "      <td>2020</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>2016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3012</th>\n",
       "      <td>198.945995</td>\n",
       "      <td>33260.900000</td>\n",
       "      <td>21.047806</td>\n",
       "      <td>23.221295</td>\n",
       "      <td>878295.51</td>\n",
       "      <td>168.06</td>\n",
       "      <td>353694.30</td>\n",
       "      <td>29.720994</td>\n",
       "      <td>27.300</td>\n",
       "      <td>9.956742</td>\n",
       "      <td>...</td>\n",
       "      <td>3238.00</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>2020</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>2020</td>\n",
       "      <td>20</td>\n",
       "      <td>4</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>381.826898</td>\n",
       "      <td>29934.700000</td>\n",
       "      <td>22.460516</td>\n",
       "      <td>22.853774</td>\n",
       "      <td>461832.90</td>\n",
       "      <td>448826.45</td>\n",
       "      <td>451328.30</td>\n",
       "      <td>34.361906</td>\n",
       "      <td>36.920</td>\n",
       "      <td>7.321232</td>\n",
       "      <td>...</td>\n",
       "      <td>2540.00</td>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>2021</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>2021</td>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "      <td>2013</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5893 rows × 78 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Сутки вращения насоса  Кол-во циклов ПКВ  УРЭ [кВтч/т]  УРЭ К [кВтч/т]  \\\n",
       "955              450.297712       26075.578249     34.653278       52.948092   \n",
       "3841             386.191898          97.066667     28.575251       31.485219   \n",
       "3731             147.952820       45277.024731     21.799052       27.153896   \n",
       "3417             204.273773       37714.033333     20.936685       26.216107   \n",
       "2533             118.588889       10675.733333     36.482304       40.574882   \n",
       "...                     ...                ...           ...             ...   \n",
       "4056             163.577338       11285.250000     19.205000       21.983098   \n",
       "5942              62.121435       39325.600000     21.001846       34.429198   \n",
       "670              151.076898       52260.200000     37.930687       41.530553   \n",
       "3012             198.945995       33260.900000     21.047806       23.221295   \n",
       "189              381.826898       29934.700000     22.460516       22.853774   \n",
       "\n",
       "      Э/э (Wакт) [кВт*ч]  Э/э реакт. (ТМ)  Э/э счет. (ТМ) [Вт]  \\\n",
       "955            954814.29        157105.99            633718.80   \n",
       "3841           515777.79           686.27            456393.40   \n",
       "3731           213986.18        137097.60            169233.60   \n",
       "3417           338070.42        254447.87            267250.10   \n",
       "2533           160737.56         18609.50            151153.00   \n",
       "...                  ...              ...                  ...   \n",
       "4056           366740.52        210098.09            327722.60   \n",
       "5942            90272.70          4336.00             52327.84   \n",
       "670            226427.50         89230.64            149397.80   \n",
       "3012           878295.51           168.06            353694.30   \n",
       "189            461832.90        448826.45            451328.30   \n",
       "\n",
       "      Qж OIS протяжка среднее [м3/сут]  Qж OIS протяжка медиана [м3/сут]  \\\n",
       "955                          21.631619                            22.830   \n",
       "3841                         48.617424                            48.090   \n",
       "3731                          8.503688                             7.760   \n",
       "3417                         19.544727                            17.470   \n",
       "2533                         21.500347                            20.700   \n",
       "...                                ...                               ...   \n",
       "4056                         46.220574                            38.000   \n",
       "5942                          3.252371                             3.238   \n",
       "670                           4.270435                             3.720   \n",
       "3012                         29.720994                            27.300   \n",
       "189                          34.361906                            36.920   \n",
       "\n",
       "      Qж OIS протяжка ст. откл-е [м3/сут]  ...  Lнкт [м] НКТ  \\\n",
       "955                              5.920656  ...       3282.09   \n",
       "3841                             7.643591  ...       3125.94   \n",
       "3731                             2.180921  ...       2810.03   \n",
       "3417                             3.672767  ...       3063.19   \n",
       "2533                             7.470491  ...       2920.00   \n",
       "...                                   ...  ...           ...   \n",
       "4056                            25.026783  ...       2644.84   \n",
       "5942                             0.259234  ...       2581.99   \n",
       "670                              1.442905  ...       2869.26   \n",
       "3012                             9.956742  ...       3238.00   \n",
       "189                              7.321232  ...       2540.00   \n",
       "\n",
       "      ЭРА.Дата монтажа_day  ЭРА.Дата монтажа_month  ЭРА.Дата монтажа_year  \\\n",
       "955                     28                       5                   2020   \n",
       "3841                     2                       6                   2021   \n",
       "3731                     9                       2                   2022   \n",
       "3417                    27                      11                   2021   \n",
       "2533                    19                       3                   2020   \n",
       "...                    ...                     ...                    ...   \n",
       "4056                    13                       7                   2022   \n",
       "5942                     3                       5                   2022   \n",
       "670                     27                       6                   2020   \n",
       "3012                     3                       9                   2020   \n",
       "189                     10                      11                   2021   \n",
       "\n",
       "      Дата первой работы сборки_day  Дата первой работы сборки_month  \\\n",
       "955                              29                                5   \n",
       "3841                              3                                6   \n",
       "3731                             10                                2   \n",
       "3417                             29                               11   \n",
       "2533                             20                                3   \n",
       "...                             ...                              ...   \n",
       "4056                             14                                7   \n",
       "5942                              4                                5   \n",
       "670                              30                                6   \n",
       "3012                              4                                9   \n",
       "189                              11                               11   \n",
       "\n",
       "      Дата первой работы сборки_year  Дата начала экспл-ии_day  \\\n",
       "955                             2020                        30   \n",
       "3841                            2021                        10   \n",
       "3731                            2022                        29   \n",
       "3417                            2021                        27   \n",
       "2533                            2020                        25   \n",
       "...                              ...                       ...   \n",
       "4056                            2022                         2   \n",
       "5942                            2022                        10   \n",
       "670                             2020                        10   \n",
       "3012                            2020                        20   \n",
       "189                             2021                        12   \n",
       "\n",
       "      Дата начала экспл-ии_month  Дата начала экспл-ии_year  \n",
       "955                            9                       2019  \n",
       "3841                           4                       2020  \n",
       "3731                           1                       2021  \n",
       "3417                           1                       2020  \n",
       "2533                           5                       2017  \n",
       "...                          ...                        ...  \n",
       "4056                           5                       2022  \n",
       "5942                           8                       2010  \n",
       "670                            3                       2016  \n",
       "3012                           4                       2019  \n",
       "189                            3                       2013  \n",
       "\n",
       "[5893 rows x 78 columns]"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "numeric_train = X_train.select_dtypes(exclude='object')\n",
    "numeric_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Сутки вращения насоса</th>\n",
       "      <th>Кол-во циклов ПКВ</th>\n",
       "      <th>УРЭ [кВтч/т]</th>\n",
       "      <th>УРЭ К [кВтч/т]</th>\n",
       "      <th>Э/э (Wакт) [кВт*ч]</th>\n",
       "      <th>Э/э реакт. (ТМ)</th>\n",
       "      <th>Э/э счет. (ТМ) [Вт]</th>\n",
       "      <th>Qж OIS протяжка среднее [м3/сут]</th>\n",
       "      <th>Qж OIS протяжка медиана [м3/сут]</th>\n",
       "      <th>Qж OIS протяжка ст. откл-е [м3/сут]</th>\n",
       "      <th>...</th>\n",
       "      <th>Lнкт [м] НКТ</th>\n",
       "      <th>ЭРА.Дата монтажа_day</th>\n",
       "      <th>ЭРА.Дата монтажа_month</th>\n",
       "      <th>ЭРА.Дата монтажа_year</th>\n",
       "      <th>Дата первой работы сборки_day</th>\n",
       "      <th>Дата первой работы сборки_month</th>\n",
       "      <th>Дата первой работы сборки_year</th>\n",
       "      <th>Дата начала экспл-ии_day</th>\n",
       "      <th>Дата начала экспл-ии_month</th>\n",
       "      <th>Дата начала экспл-ии_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6068</th>\n",
       "      <td>48.840972</td>\n",
       "      <td>1104.000000</td>\n",
       "      <td>18.113333</td>\n",
       "      <td>20.325373</td>\n",
       "      <td>115979.91</td>\n",
       "      <td>2.600440e+04</td>\n",
       "      <td>1.029801e+05</td>\n",
       "      <td>83.066060</td>\n",
       "      <td>80.556</td>\n",
       "      <td>13.484367</td>\n",
       "      <td>...</td>\n",
       "      <td>3180.00</td>\n",
       "      <td>24</td>\n",
       "      <td>10</td>\n",
       "      <td>2024</td>\n",
       "      <td>26</td>\n",
       "      <td>10</td>\n",
       "      <td>2024</td>\n",
       "      <td>31</td>\n",
       "      <td>12</td>\n",
       "      <td>2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3156</th>\n",
       "      <td>138.712101</td>\n",
       "      <td>48657.086207</td>\n",
       "      <td>21.361247</td>\n",
       "      <td>25.374031</td>\n",
       "      <td>266267.94</td>\n",
       "      <td>3.201130e+07</td>\n",
       "      <td>2.527117e+05</td>\n",
       "      <td>13.845808</td>\n",
       "      <td>13.550</td>\n",
       "      <td>6.069720</td>\n",
       "      <td>...</td>\n",
       "      <td>2862.71</td>\n",
       "      <td>27</td>\n",
       "      <td>6</td>\n",
       "      <td>2021</td>\n",
       "      <td>30</td>\n",
       "      <td>6</td>\n",
       "      <td>2021</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5160</th>\n",
       "      <td>316.096007</td>\n",
       "      <td>19596.416667</td>\n",
       "      <td>6.290030</td>\n",
       "      <td>18.070890</td>\n",
       "      <td>420582.40</td>\n",
       "      <td>4.494211e+04</td>\n",
       "      <td>1.410077e+05</td>\n",
       "      <td>33.532795</td>\n",
       "      <td>33.000</td>\n",
       "      <td>2.843804</td>\n",
       "      <td>...</td>\n",
       "      <td>2459.60</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2023</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2023</td>\n",
       "      <td>16</td>\n",
       "      <td>2</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3890</th>\n",
       "      <td>52.588378</td>\n",
       "      <td>6090.877586</td>\n",
       "      <td>32.653043</td>\n",
       "      <td>39.298373</td>\n",
       "      <td>76725.21</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>6.287640e+04</td>\n",
       "      <td>10.149667</td>\n",
       "      <td>9.950</td>\n",
       "      <td>1.632666</td>\n",
       "      <td>...</td>\n",
       "      <td>2746.81</td>\n",
       "      <td>28</td>\n",
       "      <td>7</td>\n",
       "      <td>2021</td>\n",
       "      <td>30</td>\n",
       "      <td>7</td>\n",
       "      <td>2021</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2141</th>\n",
       "      <td>37.629825</td>\n",
       "      <td>6927.604762</td>\n",
       "      <td>30.394103</td>\n",
       "      <td>167.702414</td>\n",
       "      <td>194322.21</td>\n",
       "      <td>6.847770e+03</td>\n",
       "      <td>2.968955e+04</td>\n",
       "      <td>8.186959</td>\n",
       "      <td>8.000</td>\n",
       "      <td>0.926358</td>\n",
       "      <td>...</td>\n",
       "      <td>2629.84</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2023</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2023</td>\n",
       "      <td>19</td>\n",
       "      <td>11</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2087</th>\n",
       "      <td>540.508009</td>\n",
       "      <td>8463.833333</td>\n",
       "      <td>13.131593</td>\n",
       "      <td>15.052395</td>\n",
       "      <td>645337.61</td>\n",
       "      <td>2.227210e+05</td>\n",
       "      <td>6.086089e+05</td>\n",
       "      <td>104.248386</td>\n",
       "      <td>114.416</td>\n",
       "      <td>27.165313</td>\n",
       "      <td>...</td>\n",
       "      <td>3030.00</td>\n",
       "      <td>23</td>\n",
       "      <td>8</td>\n",
       "      <td>2023</td>\n",
       "      <td>25</td>\n",
       "      <td>8</td>\n",
       "      <td>2023</td>\n",
       "      <td>25</td>\n",
       "      <td>8</td>\n",
       "      <td>2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6562</th>\n",
       "      <td>158.350143</td>\n",
       "      <td>70637.947275</td>\n",
       "      <td>18.455427</td>\n",
       "      <td>25.684067</td>\n",
       "      <td>368300.44</td>\n",
       "      <td>1.990092e+05</td>\n",
       "      <td>2.480077e+05</td>\n",
       "      <td>11.729843</td>\n",
       "      <td>11.810</td>\n",
       "      <td>5.120099</td>\n",
       "      <td>...</td>\n",
       "      <td>2847.77</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "      <td>2020</td>\n",
       "      <td>22</td>\n",
       "      <td>10</td>\n",
       "      <td>2020</td>\n",
       "      <td>28</td>\n",
       "      <td>5</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1179</th>\n",
       "      <td>39.041019</td>\n",
       "      <td>16569.904301</td>\n",
       "      <td>22.023314</td>\n",
       "      <td>25.764490</td>\n",
       "      <td>82284.29</td>\n",
       "      <td>6.000000e-01</td>\n",
       "      <td>7.583880e+04</td>\n",
       "      <td>12.093412</td>\n",
       "      <td>10.300</td>\n",
       "      <td>6.816270</td>\n",
       "      <td>...</td>\n",
       "      <td>2940.00</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>2021</td>\n",
       "      <td>10</td>\n",
       "      <td>12</td>\n",
       "      <td>2021</td>\n",
       "      <td>28</td>\n",
       "      <td>5</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4913</th>\n",
       "      <td>42.270833</td>\n",
       "      <td>19922.000000</td>\n",
       "      <td>27.618517</td>\n",
       "      <td>45.362675</td>\n",
       "      <td>74404.15</td>\n",
       "      <td>4.295004e+08</td>\n",
       "      <td>4.295413e+08</td>\n",
       "      <td>4.347938</td>\n",
       "      <td>4.400</td>\n",
       "      <td>0.509624</td>\n",
       "      <td>...</td>\n",
       "      <td>2940.42</td>\n",
       "      <td>17</td>\n",
       "      <td>10</td>\n",
       "      <td>2023</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>2023</td>\n",
       "      <td>26</td>\n",
       "      <td>8</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>920</th>\n",
       "      <td>79.904630</td>\n",
       "      <td>2690.016667</td>\n",
       "      <td>19.917857</td>\n",
       "      <td>19.644825</td>\n",
       "      <td>106784.45</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.076582e+05</td>\n",
       "      <td>49.169819</td>\n",
       "      <td>45.000</td>\n",
       "      <td>8.285463</td>\n",
       "      <td>...</td>\n",
       "      <td>2641.43</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>2023</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2023</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1040 rows × 78 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Сутки вращения насоса  Кол-во циклов ПКВ  УРЭ [кВтч/т]  УРЭ К [кВтч/т]  \\\n",
       "6068              48.840972        1104.000000     18.113333       20.325373   \n",
       "3156             138.712101       48657.086207     21.361247       25.374031   \n",
       "5160             316.096007       19596.416667      6.290030       18.070890   \n",
       "3890              52.588378        6090.877586     32.653043       39.298373   \n",
       "2141              37.629825        6927.604762     30.394103      167.702414   \n",
       "...                     ...                ...           ...             ...   \n",
       "2087             540.508009        8463.833333     13.131593       15.052395   \n",
       "6562             158.350143       70637.947275     18.455427       25.684067   \n",
       "1179              39.041019       16569.904301     22.023314       25.764490   \n",
       "4913              42.270833       19922.000000     27.618517       45.362675   \n",
       "920               79.904630        2690.016667     19.917857       19.644825   \n",
       "\n",
       "      Э/э (Wакт) [кВт*ч]  Э/э реакт. (ТМ)  Э/э счет. (ТМ) [Вт]  \\\n",
       "6068           115979.91     2.600440e+04         1.029801e+05   \n",
       "3156           266267.94     3.201130e+07         2.527117e+05   \n",
       "5160           420582.40     4.494211e+04         1.410077e+05   \n",
       "3890            76725.21     0.000000e+00         6.287640e+04   \n",
       "2141           194322.21     6.847770e+03         2.968955e+04   \n",
       "...                  ...              ...                  ...   \n",
       "2087           645337.61     2.227210e+05         6.086089e+05   \n",
       "6562           368300.44     1.990092e+05         2.480077e+05   \n",
       "1179            82284.29     6.000000e-01         7.583880e+04   \n",
       "4913            74404.15     4.295004e+08         4.295413e+08   \n",
       "920            106784.45     0.000000e+00         1.076582e+05   \n",
       "\n",
       "      Qж OIS протяжка среднее [м3/сут]  Qж OIS протяжка медиана [м3/сут]  \\\n",
       "6068                         83.066060                            80.556   \n",
       "3156                         13.845808                            13.550   \n",
       "5160                         33.532795                            33.000   \n",
       "3890                         10.149667                             9.950   \n",
       "2141                          8.186959                             8.000   \n",
       "...                                ...                               ...   \n",
       "2087                        104.248386                           114.416   \n",
       "6562                         11.729843                            11.810   \n",
       "1179                         12.093412                            10.300   \n",
       "4913                          4.347938                             4.400   \n",
       "920                          49.169819                            45.000   \n",
       "\n",
       "      Qж OIS протяжка ст. откл-е [м3/сут]  ...  Lнкт [м] НКТ  \\\n",
       "6068                            13.484367  ...       3180.00   \n",
       "3156                             6.069720  ...       2862.71   \n",
       "5160                             2.843804  ...       2459.60   \n",
       "3890                             1.632666  ...       2746.81   \n",
       "2141                             0.926358  ...       2629.84   \n",
       "...                                   ...  ...           ...   \n",
       "2087                            27.165313  ...       3030.00   \n",
       "6562                             5.120099  ...       2847.77   \n",
       "1179                             6.816270  ...       2940.00   \n",
       "4913                             0.509624  ...       2940.42   \n",
       "920                              8.285463  ...       2641.43   \n",
       "\n",
       "      ЭРА.Дата монтажа_day  ЭРА.Дата монтажа_month  ЭРА.Дата монтажа_year  \\\n",
       "6068                    24                      10                   2024   \n",
       "3156                    27                       6                   2021   \n",
       "5160                     2                       1                   2023   \n",
       "3890                    28                       7                   2021   \n",
       "2141                     3                       1                   2023   \n",
       "...                    ...                     ...                    ...   \n",
       "2087                    23                       8                   2023   \n",
       "6562                    21                      10                   2020   \n",
       "1179                     9                      12                   2021   \n",
       "4913                    17                      10                   2023   \n",
       "920                      6                       2                   2023   \n",
       "\n",
       "      Дата первой работы сборки_day  Дата первой работы сборки_month  \\\n",
       "6068                             26                               10   \n",
       "3156                             30                                6   \n",
       "5160                              5                                1   \n",
       "3890                             30                                7   \n",
       "2141                              4                                1   \n",
       "...                             ...                              ...   \n",
       "2087                             25                                8   \n",
       "6562                             22                               10   \n",
       "1179                             10                               12   \n",
       "4913                             18                               10   \n",
       "920                               7                                2   \n",
       "\n",
       "      Дата первой работы сборки_year  Дата начала экспл-ии_day  \\\n",
       "6068                            2024                        31   \n",
       "3156                            2021                         4   \n",
       "5160                            2023                        16   \n",
       "3890                            2021                         3   \n",
       "2141                            2023                        19   \n",
       "...                              ...                       ...   \n",
       "2087                            2023                        25   \n",
       "6562                            2020                        28   \n",
       "1179                            2021                        28   \n",
       "4913                            2023                        26   \n",
       "920                             2023                        11   \n",
       "\n",
       "      Дата начала экспл-ии_month  Дата начала экспл-ии_year  \n",
       "6068                          12                       2023  \n",
       "3156                           4                       2020  \n",
       "5160                           2                       2007  \n",
       "3890                           7                       2020  \n",
       "2141                          11                       2015  \n",
       "...                          ...                        ...  \n",
       "2087                           8                       2023  \n",
       "6562                           5                       2020  \n",
       "1179                           5                       2010  \n",
       "4913                           8                       2019  \n",
       "920                            5                       2007  \n",
       "\n",
       "[1040 rows x 78 columns]"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "numeric_test = X_test.select_dtypes(exclude='object')\n",
    "numeric_test"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 1.1.5.2. <a id='toc1_1_5_2_'></a>[Заполнение пропущенных значений в датасете](#toc0_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ввиду специфики данных (каждая строка представляет собой уникальный объект, и для данного объекта отсутствуют строки, по которым можно выполнить агрегацию этих объектов, например, по времени), основным методом заполнения является вычисление значения на всем признаке.\n",
    "\n",
    "`Исправление после валидации` Потому такие методы, как скользящее окно и т.д., не подойдут, поскольку нельзя отсортировать значения признаков, чтобы окно прошло по ним."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 1.1.5.2.1. <a id='toc1_1_5_2_1_'></a>[Первичный анализ пропущенных значений](#toc0_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Сперва при помощи комбинации методов `isna().sum()` подсчитаем, какое количество пропусков есть в каждом столбце. После этого благодаря условию temp != 0 отберем только те столбцы, к которых есть хотя бы 1 пропуск."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Сделаем это для обучающей и тестовой выборок по-отдельности. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "УРЭ [кВтч/т]                          35\n",
       "УРЭ К [кВтч/т]                        17\n",
       "Pзаб среднее [ат]                      4\n",
       "Pзаб медиана [ат]                      4\n",
       "Pзаб ст. откл-е [ат]                   4\n",
       "Pпласт среднее [ат]                  201\n",
       "Pпл медиана [ат]                     201\n",
       "Pпласт ст. откл-е [ат]               201\n",
       "Pлин среднее [атм]                    21\n",
       "Pлин медиана [атм]                    21\n",
       "Pлин ст. откл-е [атм]                 26\n",
       "Загрузка ПЭД среднее [%]               1\n",
       "Загрузка ПЭД медиана [%]               1\n",
       "Загрузка ПЭД ст. откл-е [%]            2\n",
       "Ток фазы A среднее [А]                 1\n",
       "Ток фазы A медиана [А]                 1\n",
       "Ток фазы A ст. откл-е [А]              2\n",
       "К подачи на устье по среднему         36\n",
       "Диаметр ЭЦН [мм]                       1\n",
       "Номинальный дебит сборки [м3/сут]     10\n",
       "Номинальный напор сборки [м]          74\n",
       "Номинальная мощность сборки [кВт]     12\n",
       "dL вдп [м] ТР                          1\n",
       "H вдп [м] ТР                           1\n",
       "dH вдп-насос [м] ТР                    1\n",
       "D колонны внутренний [мм] ТР           7\n",
       "D нкт внешний min [мм] НКТ             6\n",
       "D нкт внутренний min [мм] НКТ          6\n",
       "Lнкт [м] НКТ                           6\n",
       "dtype: int64"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp = numeric_train.isna().sum()\n",
    "nan_pivot_train = temp[temp != 0]\n",
    "nan_pivot_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "УРЭ [кВтч/т]                          3\n",
       "УРЭ К [кВтч/т]                        1\n",
       "Pпласт среднее [ат]                  38\n",
       "Pпл медиана [ат]                     38\n",
       "Pпласт ст. откл-е [ат]               38\n",
       "Pлин среднее [атм]                    7\n",
       "Pлин медиана [атм]                    7\n",
       "Pлин ст. откл-е [атм]                 7\n",
       "К подачи на устье по среднему         8\n",
       "Номинальный дебит сборки [м3/сут]     2\n",
       "Номинальный напор сборки [м]         13\n",
       "Номинальная мощность сборки [кВт]     1\n",
       "dL насос [м] ТР                       1\n",
       "H насос [м] ТР                        1\n",
       "dH вдп-насос [м] ТР                   1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp = numeric_test.isna().sum()\n",
    "nan_pivot_test = temp[temp != 0]\n",
    "nan_pivot_test"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Проверим, что признаки с пропусками из тестовой выборки содержатся в признаках с пропусками из обучающей выборки (при помощи операторов из теории множеств)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ True,  True,  True,  True,  True,  True,  True,  True,  True,\n",
       "        True,  True,  True, False, False,  True])"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.in1d(nan_pivot_test.index, nan_pivot_train.index)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Видим, что 2 признака, которые содержат пропуски, не содержатся в обучающей выборке, значит, необходимо рассчитать значение для заполнения на основе обучающей выборки."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Сохраним названия вещественных столбцов с пропусками в специальную переменную `nan_columns`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['D колонны внутренний [мм] ТР', 'D нкт внешний min [мм] НКТ',\n",
       "       'D нкт внутренний min [мм] НКТ', 'H вдп [м] ТР', 'H насос [м] ТР',\n",
       "       'Lнкт [м] НКТ', 'Pзаб медиана [ат]', 'Pзаб среднее [ат]',\n",
       "       'Pзаб ст. откл-е [ат]', 'Pлин медиана [атм]', 'Pлин среднее [атм]',\n",
       "       'Pлин ст. откл-е [атм]', 'Pпл медиана [ат]', 'Pпласт среднее [ат]',\n",
       "       'Pпласт ст. откл-е [ат]', 'dH вдп-насос [м] ТР', 'dL вдп [м] ТР',\n",
       "       'dL насос [м] ТР', 'Диаметр ЭЦН [мм]', 'Загрузка ПЭД медиана [%]',\n",
       "       'Загрузка ПЭД среднее [%]', 'Загрузка ПЭД ст. откл-е [%]',\n",
       "       'К подачи на устье по среднему',\n",
       "       'Номинальная мощность сборки [кВт]',\n",
       "       'Номинальный дебит сборки [м3/сут]',\n",
       "       'Номинальный напор сборки [м]', 'Ток фазы A медиана [А]',\n",
       "       'Ток фазы A среднее [А]', 'Ток фазы A ст. откл-е [А]',\n",
       "       'УРЭ [кВтч/т]', 'УРЭ К [кВтч/т]'], dtype=object)"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nan_columns = np.union1d(nan_pivot_test.index, nan_pivot_train.index)\n",
    "nan_columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Также проанализируем типы данных столбцов с пропусками. Это необходимо для стратегии заполнения этих самых пропусков."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 5893 entries, 955 to 189\n",
      "Data columns (total 31 columns):\n",
      " #   Column                             Non-Null Count  Dtype  \n",
      "---  ------                             --------------  -----  \n",
      " 0   D колонны внутренний [мм] ТР       5886 non-null   float64\n",
      " 1   D нкт внешний min [мм] НКТ         5887 non-null   float64\n",
      " 2   D нкт внутренний min [мм] НКТ      5887 non-null   float64\n",
      " 3   H вдп [м] ТР                       5892 non-null   float64\n",
      " 4   H насос [м] ТР                     5893 non-null   float64\n",
      " 5   Lнкт [м] НКТ                       5887 non-null   float64\n",
      " 6   Pзаб медиана [ат]                  5889 non-null   float64\n",
      " 7   Pзаб среднее [ат]                  5889 non-null   float64\n",
      " 8   Pзаб ст. откл-е [ат]               5889 non-null   float64\n",
      " 9   Pлин медиана [атм]                 5872 non-null   float64\n",
      " 10  Pлин среднее [атм]                 5872 non-null   float64\n",
      " 11  Pлин ст. откл-е [атм]              5867 non-null   float64\n",
      " 12  Pпл медиана [ат]                   5692 non-null   float64\n",
      " 13  Pпласт среднее [ат]                5692 non-null   float64\n",
      " 14  Pпласт ст. откл-е [ат]             5692 non-null   float64\n",
      " 15  dH вдп-насос [м] ТР                5892 non-null   float64\n",
      " 16  dL вдп [м] ТР                      5892 non-null   float64\n",
      " 17  dL насос [м] ТР                    5893 non-null   float64\n",
      " 18  Диаметр ЭЦН [мм]                   5892 non-null   float64\n",
      " 19  Загрузка ПЭД медиана [%]           5892 non-null   float64\n",
      " 20  Загрузка ПЭД среднее [%]           5892 non-null   float64\n",
      " 21  Загрузка ПЭД ст. откл-е [%]        5891 non-null   float64\n",
      " 22  К подачи на устье по среднему      5857 non-null   float64\n",
      " 23  Номинальная мощность сборки [кВт]  5881 non-null   float64\n",
      " 24  Номинальный дебит сборки [м3/сут]  5883 non-null   float64\n",
      " 25  Номинальный напор сборки [м]       5819 non-null   float64\n",
      " 26  Ток фазы A медиана [А]             5892 non-null   float64\n",
      " 27  Ток фазы A среднее [А]             5892 non-null   float64\n",
      " 28  Ток фазы A ст. откл-е [А]          5891 non-null   float64\n",
      " 29  УРЭ [кВтч/т]                       5858 non-null   float64\n",
      " 30  УРЭ К [кВтч/т]                     5876 non-null   float64\n",
      "dtypes: float64(31)\n",
      "memory usage: 1.4 MB\n"
     ]
    }
   ],
   "source": [
    "numeric_train[nan_columns].info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Видим, что все признаки, содержащие пропуски, являются вещественными."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 1.1.5.2.2. <a id='toc1_1_5_2_2_'></a>[Заполнение пропущенных значений методом MICE](#toc0_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`Исправление после валидации` Добавлено в рассмотрение заполнение пропусков при помощи MICE."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Метод MICE (Multiple Imputation by Chained Equations) используется для заполнения пропусков в данных. Он работает следующим образом: сначала пропуски заполняются простым способом, например средними значениями. Затем для каждого признака с пропусками строится модель, в которой остальные признаки выступают предикторами, и недостающие значения заменяются на предсказанные. Этот процесс повторяется для всех признаков несколько раз, постепенно уточняя результаты. \n",
    "\n",
    "Дополнительно процедура выполняется несколько раз с добавлением случайности, что позволяет учесть неопределённость и получить несколько возможных наборов данных. Благодаря этому MICE восстанавливает пропуски более реалистично, чем простое заполнение средним или медианой, так как учитывает взаимосвязи между признаками."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Для того, чтобы проверить обобщающую способность модели, необходимо сгенерировать выборку с пропусками и по ней посчитать метрику NRMSE:\n",
    "\n",
    "$$\n",
    "\\text{NRMSE} = \\frac{\\sqrt{\\frac{1}{n} \\sum_{i=1}^{n} (y_i - \\hat{y}_i)^2}}{\\sigma_y}\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Обычно применяется следующая интерпретация метрики для каждого признака:\n",
    "- NRMSE < 0.1: очень хорошее восстановление (практически без ошибок);\n",
    "- 0.1 ≤ NRMSE < 0.2: хорошее качество, модель адекватна;\n",
    "- 0.2 ≤ NRMSE < 0.3: среднее качество, есть заметные отклонения;\n",
    "- NRMSE ≥ 0.3: восстановление слабое, метод работает плохо."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Создадим выборку, в которой искусственно сгенерируем 20% пропусков."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_true = numeric_train.dropna().copy()\n",
    "mask = np.random.rand(*data_true.shape) < 0.2  # 20% пропусков\n",
    "data_masked = data_true.copy()\n",
    "data_masked[mask] = np.nan"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Обучим модель MICE, реализованную в библиотеке `scikit-learn` при помощи класса `IterativeImputer`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.experimental import enable_iterative_imputer\n",
    "from sklearn.impute import IterativeImputer\n",
    "\n",
    "\n",
    "imputer_test = IterativeImputer(max_iter=100, random_state=seed)\n",
    "data_filled = pd.DataFrame(imputer_test.fit_transform(data_masked), columns=data_masked.columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Вычислим метрики для каждого признака, который содержит пропуски в исходной обучающей выборке."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NRMSE по колонкам:\n",
      "D колонны внутренний [мм] ТР: 0.904\n",
      "D нкт внешний min [мм] НКТ: 0.459\n",
      "D нкт внутренний min [мм] НКТ: 0.468\n",
      "H вдп [м] ТР: 0.285\n",
      "H насос [м] ТР: 0.340\n",
      "Lнкт [м] НКТ: 0.175\n",
      "Pзаб медиана [ат]: 0.752\n",
      "Pзаб среднее [ат]: 0.326\n",
      "Pзаб ст. откл-е [ат]: 0.504\n",
      "Pлин медиана [атм]: 0.752\n",
      "Pлин среднее [атм]: 0.006\n",
      "Pлин ст. откл-е [атм]: 0.007\n",
      "Pпл медиана [ат]: 0.381\n",
      "Pпласт среднее [ат]: 0.371\n",
      "Pпласт ст. откл-е [ат]: 1.175\n",
      "dH вдп-насос [м] ТР: 1.139\n",
      "dL вдп [м] ТР: 0.173\n",
      "dL насос [м] ТР: 0.128\n",
      "Диаметр ЭЦН [мм]: 0.778\n",
      "Загрузка ПЭД медиана [%]: 30.031\n",
      "Загрузка ПЭД среднее [%]: 0.007\n",
      "Загрузка ПЭД ст. откл-е [%]: 0.008\n",
      "К подачи на устье по среднему: 0.482\n",
      "Номинальная мощность сборки [кВт]: 0.463\n",
      "Номинальный дебит сборки [м3/сут]: 0.365\n",
      "Номинальный напор сборки [м]: 0.908\n",
      "Ток фазы A медиана [А]: 0.878\n",
      "Ток фазы A среднее [А]: 30.316\n",
      "Ток фазы A ст. откл-е [А]: 0.838\n",
      "УРЭ [кВтч/т]: 1.044\n",
      "УРЭ К [кВтч/т]: 25.885\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import mean_squared_error\n",
    "\n",
    "\n",
    "nrmse = {}\n",
    "for col in nan_columns:\n",
    "    col_mask = mask[:, data_true.columns.get_loc(col)]\n",
    "    mse = mean_squared_error(data_true.loc[col_mask, col], data_filled.loc[col_mask, col])\n",
    "    nrmse[col] = np.sqrt(mse) / data_true[col].std()\n",
    "\n",
    "print(\"NRMSE по колонкам:\")\n",
    "for col, val in nrmse.items():\n",
    "    print(f\"{col}: {val:.3f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Исходя из значения метрики, получаем, что для многих признаков данный метод неприменим, поскольку он генерирует значения, которые не соответствуют данным."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 1.1.5.2.3. <a id='toc1_1_5_2_3_'></a>[Заполнение пропущенных значений методом анализа распределений](#toc0_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Для того, чтобы решить проблему наличия пропусков в данных, попробуем заполнить пропуски такими значениями, которые гарантируют, что распределение не изменило свою структуру при заполнении. Для этого будем исследовать специальную метрику анализа, а также общий вид эмпирической функции плотности распределения. Это особенно важно, так как результирующие модели должны восстанавливать зависимости в данных."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Идея исследования будет заключаться в следующем. Первоначально данные с пропусками имеют свое распределение (для фиксированного признака), так как каждый признак был порожден некоторой случайной величиной. Функцию распределения этой случайно величины мы смоделируем при помощи эмпирической функции плотности распределения и гистограммы. Значения определенного признака тем самым формируют вариационный ряд. \n",
    "\n",
    "Будем заполнять пропуски некоторым значением (например, статистикой: средним, модой или медианой, а может, случайными значениями из интервала). Тогда у нас сформируется распределение признака до заполнения и после заполнения, и мы будем исследовать эти объекты на сходство.\n",
    "\n",
    "Заполнение значением будет считаться успешным (то есть будет нам подходить), если:\n",
    "1. структура эмпирической функции плотности не поменяется;\n",
    "2. будут отсутствовать новые резкие выбросы в столбцах гистограммы (локальные максимумы функции плотности);\n",
    "3. значение метрики вложенности двух распределений (дивергенция Кульбака-Лейблера) будет сравнительно небольшим (идеально, когда она равна нулю, значит, распределения совпали). Используется именно эта метрика, так как она покажет, насколько распределение после заполнения расхоже с распределением до заполнения."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Для того, чтобы построить гистограмму, нам нужно зафиксировать количество интервалов разбиения $N_i$ (для $i$-го признака) вариационного ряда относительно исходного распределения без заполнения пропусков. Для этого будем пользоваться эмпирической формулой Стерджеса:\n",
    "\n",
    "$$N_i = \\frac{r_i}{1 + 3.222 \\cdot \\lg(n_i)},$$\n",
    "\n",
    "где $r_i$ -- размах, а $n_i$ -- размерность вариационного ряда."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Данная формула вычисляет оптимальное число интервалов непрерывного вариационного ряда."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "def calc_bins(x: t.Iterable[float]) -> int:\n",
    "    \"\"\"Вычисление числа интервалов разбиения гистограммы при помощи формулы Стерджеса\n",
    "\n",
    "    Args:\n",
    "        x (t.Iterable[float]): Непрерывный вариационный ряд\n",
    "\n",
    "    Returns:\n",
    "        int: Число интервалов разбиения гистограммы\n",
    "    \"\"\"\n",
    "    return int(\n",
    "        np.ceil(\n",
    "            (np.max(x) - np.min(x)) / int(1 + 3.222 * np.log10(len(x)))\n",
    "        )\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Также напишем функцию, которая будет вычислять дивергенцию Кульбака-Лейблера при помощи функции `entropy()` из библиотеки `scipy`. Для этого сформируем полигоны частот при помощи модуля `numpy` и передадим их в `entropy()`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy.stats import entropy\n",
    "\n",
    "\n",
    "def calc_kl_divergence(x: t.Iterable[float], new_x: t.Iterable[float]) -> float:\n",
    "    \"\"\"Вычисление КЛ-дивергенции для двух непрерывных вариационных рядов\n",
    "\n",
    "    Args:\n",
    "        x (t.Iterable[float]): Исходный непрерывных вариационный ряд\n",
    "        new_x (t.Iterable[float]): Модифицированный непрерывных вариационный ряд\n",
    "\n",
    "    Returns:\n",
    "        float: Значение КЛ-дивергенции\n",
    "    \"\"\"\n",
    "    bins = calc_bins(x)\n",
    "    p, _ = np.histogram(x, bins=bins)\n",
    "    q, _ = np.histogram(new_x, bins=bins)\n",
    "    return entropy(p / np.sum(p), q / np.sum(q))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Реализуем функцию, которая будет строить гистограмму до заполнения и после заполнения, а также выводить дивергенцию и эмпирические функции плотности."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Для удобства отображения гистограммы будем использовать логарифмическую шкалу значений вариационного ряда, поскольку данные имеют произвольный масштаб, и гистограммы получаются растянутыми и нечитаемыми."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "def draw_hist(x: np.ndarray, new_x: np.ndarray) -> None:\n",
    "    \"\"\"Вывод сводной информации до заполнения и после\n",
    "\n",
    "    Args:\n",
    "        x (np.ndarray): Изначальное распределение\n",
    "        new_x (np.ndarray): Распределение после заполнения\n",
    "    \"\"\"\n",
    "    fig, ax = plt.subplots(1, 2, figsize=(15, 4))\n",
    "    fig.suptitle(\n",
    "        f\"Дивергенция Кульбака-Лейблера: {calc_kl_divergence(x, new_x):.6f}\")\n",
    "    sns.histplot(np.log(x), kde=True, stat='density',\n",
    "                 label='Исходные данные', ax=ax[0], color='green')\n",
    "    sns.histplot(np.log(new_x), kde=True, stat='density',\n",
    "                 label='Данные после заполнения', ax=ax[1], color='red')\n",
    "    fig.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Заполнение пропусков в `pandas` реализовано при помощи словарей, имеющих следующую структуру: ключом является индекс позиции пропуска, а значением -- заполнение для конкретной позиции. Так как заполнять пропуски можно не только константным значением, но и случайным, напишем функцию, которая будет принимать колонку с пропуском и правило для заполнения, а возвращать словарь заполнения.\n",
    "\n",
    "Обобщим правила заполнения для константных и случайных значений: будем принимать лямбда-функцию, которая и вернет число для заполнения при ее вызове. Если это константное число, то оно всегда и будет возвращаться, если случайное, то при вызове сгенерируется новое."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_fill_rule(col: pd.Series, variant: t.Callable[[], float]) -> t.Dict[int, float]:\n",
    "    \"\"\"Генерация словаря заполнения столбца\n",
    "\n",
    "    Args:\n",
    "        col (pd.Series): Столбец для заполнения\n",
    "        variant (t.Callable[[], float]): Правило для заполнения\n",
    "\n",
    "    Returns:\n",
    "        t.Dict[int, float]: Словарь заполнения\n",
    "    \"\"\"\n",
    "    return {\n",
    "        key: variant() for key in col[col.isna()].keys()\n",
    "    }"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Также напишем результирующую функцию, которая реализует исследование заполнения пропусков."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "def test_density_fillna(nan_col: pd.Series, variants: t.List[t.Callable[[], float]]) -> None:\n",
    "    \"\"\"Оператор алгоритма проверки релевантности пропусков\n",
    "\n",
    "    Args:\n",
    "        nan_col (pd.Series): Столбец с пропусками\n",
    "        variants (t.List[t.Callable[[], float]]): Правила для заполнения пропусков\n",
    "    \"\"\"\n",
    "    for variant in variants:\n",
    "        x = nan_col.dropna()\n",
    "\n",
    "        fill_rule = get_fill_rule(nan_col, variant)\n",
    "\n",
    "        new_x = nan_col.fillna(fill_rule)\n",
    "\n",
    "        draw_hist(x, new_x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Проанализируем каждый столбец при помощи алгоритма, описанного выше."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Рассмотрим первый признак. Сохраним его в отдельную переменную для удобства работы, а также выведем гистограмму до изменения пропусков."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Будем проверять заполнение пропусков следующими величинами:\n",
    "1. константный нуль;\n",
    "2. среднее значение столбца (можно использовать среднее, так как все столбцы являются вещественными, а не целочисленными);\n",
    "3. медиана столбца."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Для каждого признака из списка nan_columns будем анализировать различные значения и наилучшие помещать в словарь fillna_rule, в котором ключом будет являться название признака, а значением -- величина, которой заполнять пропуски в столбцах."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule = {}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_t = numeric_train[nan_columns[0]]\n",
    "\n",
    "test_density_fillna(x_t, [\n",
    "    lambda: 0,\n",
    "    lambda: x_t.mean(),\n",
    "    lambda: x_t.median()\n",
    "])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "При анализе графиков и значения дивергенции получаем, что наиболее оптимальным вариантом является заполнение пропусков при помощи среднего значения столбца, поскольку при таком подходе:\n",
    "1. гистограмма существенно не преобразовывается;\n",
    "2. достигается минимум К-Л дивергенции. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "При помощи метода `DataFrame.fillna()` реализуем заполнение пропусков."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule[nan_columns[0]] = x_t.mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Воспользуемся аналогичными рассуждениями и методами для анализа новых признаков, содержащих пропущенные значения."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_t = numeric_train[nan_columns[1]]\n",
    "\n",
    "test_density_fillna(x_t, [\n",
    "    lambda: 0,\n",
    "    lambda: x_t.mean(),\n",
    "    lambda: x_t.median()\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule[nan_columns[1]] = x_t.median()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_t = numeric_train[nan_columns[2]]\n",
    "\n",
    "test_density_fillna(x_t, [\n",
    "    lambda: 0,\n",
    "    lambda: x_t.mean(),\n",
    "    lambda: x_t.median()\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule[nan_columns[2]] = x_t.mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_t = numeric_train[nan_columns[3]]\n",
    "\n",
    "test_density_fillna(x_t, [\n",
    "    lambda: 0,\n",
    "    lambda: x_t.mean(),\n",
    "    lambda: x_t.median()\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule[nan_columns[3]] = x_t.mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_t = numeric_train[nan_columns[4]]\n",
    "\n",
    "test_density_fillna(x_t, [\n",
    "    lambda: 0,\n",
    "    lambda: x_t.mean(),\n",
    "    lambda: x_t.median()\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule[nan_columns[4]] = x_t.median()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_t = numeric_train[nan_columns[5]]\n",
    "\n",
    "test_density_fillna(x_t, [\n",
    "    lambda: 0,\n",
    "    lambda: x_t.mean(),\n",
    "    lambda: x_t.median()\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule[nan_columns[5]] = x_t.median()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_t = numeric_train[nan_columns[6]]\n",
    "\n",
    "test_density_fillna(x_t, [\n",
    "    lambda: 0,\n",
    "    lambda: x_t.mean(),\n",
    "    lambda: x_t.median()\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule[nan_columns[6]] = x_t.mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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rjZga2rpnq/Zm7tX0DdO1cNtCndX6LLVNbOtqvAAAACih7dulESO8p6ZuXal5c+f0yS+/1MNW/bpypTRjhrRokXTBBd6KWAAAUGmQgAVctidjjz6c+6G27dvm/NylXhed0PQE1Yyt6bQdGHL6EF360aWasGKC05Zg1IJROqnZSTqx6Yluhw4AAIDibNkiffCBt/VA1apSnz5S587SX62lHrcE7JVXSqtXS19/7bQlcJK1l15KEhYAgEqERbgANyVI785610m+Vo+urhu63qD+bfurVpVaf/d8zZaOqH2Ebj7qZh3b6FjnrCmrp+jXdb+6GzsAAACK1NX+GTbMm3ytX1+65RapS5e85Gs+zZpJN94oHXGEt12BJWGtKhYAAFQKJGABl+zL2iddJmehrdpVauvaI69VUvWkIq8fFRGlU1ue6vSBNRNXTtSfG/+swIgBAABQIqmpGm2n6elSo0bS1Vd7K2CLExkpXXTR30nYUaOknTsrKGAAAFCeSMACLsj15Gr0wtFSLalWbC0N7DLQaTlQEtae4Pgmxzv73yz/Rpv2birnaAEAAFBiOTnSp5/KOaxep450xRVSbAkXUfUlYRs39i7WNXq0Ij2ecg4YAACUNxKwgAt+WPWDVu5aKWVKA9oPUNXog1REFGBVsMmJyU4id8ziMfJEMjAHAAAICN9/L61dqz22f/HFUkxM6W5vSdjzz/febsMG3Z+RUU6BAgCAikICFqhgK3eu/Lt/65dSvWr1Sn0f1h/27CPOdvrGpuxLUXqv9LIPFAAAAKWzapX022/O7nX2T2Liod1PzZpSv37O7t1WCfsrvf8BAAhmJGCBCpSVk6Uvl37p7HdL6iYtPPT7iouKU/82/b332zlLk1dNLqswAQAAUFpZWdJXX3n3u3XTF4d7f+3bS507e7+w3XmnlJt7+DECAABXkIAFKtDk1ZO1K32XasTUUJ/mfQ77/lomtPQmciUNmjBIObk5ZRAlAAAASu3nn6UdO6Tq1aVTTimb++zTR3vtdMYM6YMPyuY+AQBAhSMBC1QQWyzrt/XeKWlntT5LMZGl7AdWTD9YZUhztszRsNnDyuQ+AQAAUApbt0pTp3r3zzij5ItuHUy1anoqLMzZ3TxwoJrWqKHE+PhCt87JyWXzmAAAoMxFlv1dAijI4/Ho2+XfyiOP2tdpryNqH1Fm922tCGJ+j1HGCRl6eNLDurj9xaoeU73M7h8AAAAH8d133hYBbdpIZZwIfcnj0b9r1VL9nTu1pksX6eSTC71e4tChZfq4AACg7FABC1SAJduXaO2etYoMj9RpLU8r8/vPnJqp8F3h2pK2RYnnJSo+Ib7QLbkDlREAAABlauVKacUKKTxc6tu3zO8+0/459VTvD7//Lu3fX+aPAQAAyhcVsEA5y/Xk6vuV3zv7Rzc62un/WtY82R5ddOxF+mThJwo7Nky3DL5FsZEHTn0bej6VEQAAAGXG45G+/z5v4S3VqlU+j9O2rVSvnrRlizcJe9JJ5fM4AACgXFABC5SzmZtmavv+7aoSWUXHNT6u3B6nbWJb1a1aVxk5GZq+YXq5PQ4AAAD+smCBtGmTFB0tnXBC+T2O9YE9/njvviVgMzLK77EAAECZIwELlKOsnCz9uOZHZ//EpicWWpVaVsLCwtSrSS9n3xb7ysxxJqwBAACgPFjP10mTvPvHHSdVrVq+j2e9ZRMTpfR06Y8/yvexAABAmSIBC5SjWZtnKTUzVfEx8eqW1K3cH88W+EqokqD92fs1Y+OMcn88AACAkDV/vrRzpxQXJx19dPk/nvWY7eU92K5p06SsrPJ/TAAAUCZIwALlxBPu0dR1U53945ocp4jwiHJ/zPCwcPVq7B2Y/7r+V2XnZpf7YwIAAISaMOv9+ssv3h8s+WotCCpCx45SzZrSvn3SvHkV85gAAOCwkYAFyklWcpb2ZOxRtehqOrL+kRX2uJ3qdVL16OpO5e3CbQsr7HEBAABCxZnZ2dK2bVJMjNS9e8U9sFXB+h5v+nTvImAAACDgkYAFyoFVnmZ08y6OcGzjYxUZHllhj22Vtt2TvANzFuMCALjlp59+Ur9+/ZSUlOT0KR87dmyx1x8zZoxOPfVU1alTRzVq1NAxxxyjCRMmVFi8QIl5PLrHtwhWz55SbPn1+C/UkUdKkZHSli3S2rUV+9gAACD4ErAMzFFZfbLgE3lqehQXFaejGhxV4Y/ftUFXRYRFaMPeDVq/Z32FPz4AAGlpaercubNeeeWVEo8LbZz39ddfa8aMGerdu7czTpw1a1a5xwqUynffqZMtwBUV5U3AVrQqVaROnf6uggUAAAHP1QQsA3NURh6PRy9Me8HZ79mwp6IjKqgnmJ+q0VXVoW4HZ58qWACAG8444wz961//0nnnnVei67/44ou6//771b17d7Vu3Vr//ve/ndMvv/yy3GMFSuUF7zhPXbt6F+ByQ48e3tNFi6Q9e9yJAQAAlFjFzYsuYmBuW0nZwNyfDczHjRvnDMyPtKk4QAD4Ze0vmrFphpQtdUvq5locPRr20Jwtc7Rg2wKd1vI0pxctAADBIjc3V3v37lVCQkKR18nIyHA2nz0kolDeFixwKmBzrO2TG9WvPvXqSU2bSmvWSH/+KZ18snuxAACAyt0DtqQDcxuM+29AeXrhN29VRNSiKKcFgVuSqiepcY3GyvXkauamma7FAQDAoXjuueeUmpqqiy++uMjrPPXUU4qPj8/bGjduXKExIgT9VRDytfVgrVXL3Vh8i3HNnm1fjNyNBQAAVN4ELANzBJoVO1Zo3OJxzn70rIpvPVCQrwJ31uZZTmsEAACCwccff6whQ4bok08+Ud26dYu83kMPPaTdu3fnbevWravQOBFitm2TPvjA2X092v1xntq08faD3btXWrHC7WgAAEBlTMAyMEcg+t/v/5NHHp3e6nRF7IxwOxwlJyYrJiJGu9J3adWuVW6HAwDAQY0cOVLXX3+9M8br06dPsdeNiYlxFmb134By88YbNr1O6tZNv0e4P86TVeH6FuNiTQwAAAJaUCZgGZgjEKVmpuq92e85+4OOHqRAEBURpU71vANz2hAAAALdiBEjNHDgQOf0rLPOcjsc4G/Z2dLrr3v3775bCgtTQLCFwMySJUqkDQEAAAEr6BKwDMwRqD6e97H2Zu5V64TW6tOi+AMDFalrA+/AfHHKYuXGMjAHAFQMaxM1e/ZsZzOrVq1y9teuXZs3S+mqq67KN7vJfn7++efVs2dPbd682dlsBhPgui+/lDZskOrUkS68UAHDZgI2bOj0gL04K8vtaAAAQCAmYBmYo7Kw/qqv/vGqs39zt5sVHhY4xzbqV6uvBtUaKMeTo6y2DMwBABXjzz//1JFHHulsZvDgwc7+o48+6vy8adOmvDGfefPNN5Wdna3bbrtNDRo0yNvuuusu154DkOe117yn111nU+wUUP76HbvcErD0/AcAICBFuj0w7927d97PNjA3V199tYYNG1bswNw2H9/1Abf8tv43zdkyR7GRsbqmyzUKNFYFO37ZeGW1z3KSxWGBMm0OAFBpnXTSScUuAFlw7DZlypQKiAo4BMuWSRMnetsO3HSTAk6HDtK336qNtUmYOVM66ii3IwIAAIGUgGVgjsritT+9VRED2g9QQpUEBZoOdTvo2+XfKicxx0kUd6nfxe2QAAAAgmfxLXPGGVKzZgo4VpHbpo20YIH00UckYAEACECBM08aCFIp+1L0yYJPnP1bu9+qQGSVuW0S2zj7H8790O1wAAAAgkN6uvSed5FV3XKLAlbHjt7TkSOlnBy3owEAAAWQgAUOkyU0M3IydGT9I9U9qbsCVae6nfIWC8vJZWAOAABwUGPGSDt2SE2aeCtgA1WrVtphLRI2bZImT3Y7GgAAUAAJWOAwWAuNd2a94+xf3/X6gO6t2iqhlcL2h2lT6iZNXs3AHAAA4KDe8Y7zNHCgFBGhgBURoS8i/+ouZ20IAABAQCEBCxyGPzb+oflb5ztT/C/reJkCWUR4hCKXeQfmtCEAAAA4iJUrpUmTvItvWQI2wH0WFeXdGT1a2r/f7XAAAIAfErDAYXhnprcq4oLkC1QztqYCXdRi78B89KLR2pe1z+1wAAAAApev92ufPlLTpgp0v1uFrrVK2LtX+uort8MBAAB+SMAChygtM00j5o9w9q878joFg4hNEWpes7lSM1P1xZIv3A4HAAAgMNlCVsOGefevC45xnscqdS/7a0YWbQgAAAgoJGCBQ/TZws+0N3OvWtRqoRObnahgEKYwXdHpCmefNgQAAABF+O47af16KSFBOvdcBY3LL/eefv21d/EwAAAQEEjAAodo2BxvVcS1Xa5VeFjw/Cpd3tE7MP92+bfamrbV7XAAAAACj6/69YorpJgYBY0OHaROnaSsLOmzz9yOBgAA/CV4skZAAFmza42mrJ7i7F/Z+UoFkzaJbdQ9qbtyPDkaNX+U2+EAAAAEll27pHHjvPtXX62g46uCpQ0BAAABgwQscAg+mucd0PZu1ltN4pso2OS1IZhHGwIAAIB8rHI0I0Nq31468kgFnUsvlawf7E8/SWvXuh0NAAAgAQuUnsfj0fA5w539qzpfpWA0oP0ARYRFaPqG6Vq6fanb4QAAAASO4d5xnq680pvIDDaNG0snnODdH+FdMBYAALiLBCxQSn9s/ENLti9RlcgquiD5AgWjetXq6bSWpzn7LMYFAADwl1WrpJ9/9iZefVP5g9Fll3lPP/7Y7UgAAAAJWKD0+j7Q1znNnp+tRg0aKT4hvtAtdW+qgmExrhHzRzhVvQAAAKHulR49nNMp4eFKbN9eifHxhW6pqYE9ztOFF0qRkdLcudLixW5HAwBAyIt0OwAgmGTmZGp3o93O/sUXXaxWN7Uq8rpD+gxRIOvftr9Txbt8x3LN2DRD3ZK6uR0SAACAezwenb5jh7N7Ur9+SuncucirxgwJ7HGeEhKk006Tvv5aGjVKeuwxtyMCACCkUQELlMLEFRPlqeJR1aiqalGrhYKNVWv4KnQb1m+orIVZzvnH3XJc3vnJHZLdDhMAAKDizZihlrm53srRtm0VbNJSU/NV6d46aZJz/tLHH1dijRrOeZ2TGecBAOAGKmCBUrDp+qZ93fYKDwu+4xe5ubkaNGZQ3s+LUxZr1IJRijk6RnfffbfCwsI09PyhrsYIAADgCt+CVW3aSDExCsZxXsqgv8d5Sk+XnntOR+TkKMX62darp8ShjPMAAHBD8GWQAJfsy9qncUvGOfsd6nRQZdAqoZViImK0N3Ov1u5e63Y4AAAA7rDKV5uqbzpUjnGeYmOl1q29+/Pnux0NAAAhjQQsUELjl45XamaqwvaEqVGNRqoMIsMjlVzHOxVt3tZ5bocDAADgjl9+kTZskNPpv1XRPf6DTvv23tMFC5wetwAAwB0kYIFSth+IWhrlTNWvLHzVvAu3LVRObo7b4QAAALjWfuCrqChvD9jK4ogjJHtOO3dKmza5HQ0AACGLBCxQArvTd+vrZV87+1FLolSZNK/V3FlUbH/2fq3cudLtcAAAACpWVpb02WfO7ueWrKxMoqO9SVhDGwIAAFxDAhYogbGLxyojJ0PJickKT6lcvza2mFi7Ou2c/QXbFrgdDgAAQMWaNElKSZHq1tXPERGqdHxtCBYuVBhtCAAAcEXlyiQB5eTThZ86pxe3v1hhqjztB3w61PW2IViUskieCAbmAAAghHzqHefpgguUU4naTOWxnrZWCbt7t7rl0G4KAAA3VKIGR8DhS+6QrI0bN+Y7zxPt0d4b9jq/Lc9d/5z2792vyqZxjcaKj4nX7ozdimheCSs/AABAyOucnKwNBcZ5kR6PFqamKkHSue+/r9T0dFU61lahbVtp7lydm53tdjQAAIQkErCAH0u+DhozKN95c7fM1eeLP1diXKJufetWPX7q46psbFGx9nXa69f1vyrriCy3wwEAAChzlnxNGZR/nKeVK6UPPpDi4jT2nnsU88QTqpSsDcHcuepv/W6tCrYytloAACCA0YIAOAiblm+s/6slKisrXxuC7ObZ2pOxx+1wAAAAyt/Chd5TqxANr8RfjVq2lGJjVd96wP78s9vRAAAQcirxKAM4fJk5mVq+Y7mz71uoqrKqX62+alep7dTFj1s8zu1wAAAAyldurrR4sXc/OVmVmlW8WpLZjBrldjQAAIQcErBAMZZtX6bs3GzViq2lelXrqTKz6l5fFeyI+SPcDgcAAKB8rV0rpaU5laFq3lyVXgfvOE+ffSbRCxYAgApFAhYoQfsBq36tzO0HfHwJ2IkrJyplX4rb4QAAAFRM+4FQ6InavLlSbDybkiJNmuR2NAAAhBQSsEARrPJ16falef1fQ4EtNBa+Ndx57qMXjnY7HAAAgPJhvVCXLAmN9gM+4eH6MvKvNZhpQwAAQIUiAQsUYdXOVcrKzVL16OpKqp6kUBG1JMo5pQ0BAACotDZtkvbskaKipBYtFCrG2vM1Y8ZImZluhwMAQMggAQsUYcl2b1VEm8Q2IdF+wCdqmXdg/tOan7Rhzwa3wwEAACh7vurXli0lX1VoCJhmrRbq15d27ZImTnQ7HAAAQoarCdiffvpJ/fr1U1JSkpPgGjt27EFvM2XKFHXt2lUxMTFq1aqVhg0bViGxIrR4PJ6/E7C12yiUhO8NV68mveSRR6MWMD0NAHBoGOchKBKwbUJrnJdrRQUXX+z9YeRIt8MBACBkuJqATUtLU+fOnfXKK6+U6PqrVq3SWWedpd69e2v27Nm6++67df3112vChAnlHitCy8a9G5WamaroiGg1q9lMoeaS9pc4pyPnMzAHABwaxnkIWFb9uWWLZMnII45QyBkwwHs6bpyUnu52NAAAhARX59ucccYZzlZSr7/+upo3b67nn3/e+Tk5OVm//PKLhg4dqr59+5ZjpAg1vurXVgmtFBkeOtPSfC5qf5Hu+vYu/bHxDy3fsdx5HQAAKA3GeQj46tcmTaS4OIWco4+WGjeW1q2TvvlGOu88tyMCAKDSC6oesNOmTVOfPn3ynWcDcju/KBkZGdqzZ0++DTiYUG0/4FO3al2d0uIUZ58qWABARWCchwpPwIZi9asJD/+7CpY2BAAAVIigSsBu3rxZ9erVy3ee/WyD7f379xd6m6eeekrx8fF5W2M72gsUY+f+ndqatlVhClPrhNYKVZd2uNQ5HTF/hNMTFwCA8sQ4DxXCptyvWePdb9tWIcuXgP3qK+sX4nY0AABUekGVgD0UDz30kHbv3p23rbOpNkAxlu5Y6pw2jW+qKlFVFKrObXuu0wN34baFmr91vtvhAABwAMZ5KLUVK6TcXCkxUUpIUMg66iipRQtp3z5vEhYAAJSroErA1q9fX1usYb4f+7lGjRqqUqXwRJmtomuX+29AcZZvX+6ctq4dutWvpmZsTZ3Z+sy8KlgAAMoT4zxUiGXLvKetQ3uc5yxAdol30VXaEAAAUP6CanWhY445Rl9//XW+8yZOnOicD5QFT6RHq3atcvZDtf1Aamqq4hPinf2s1lnSmdLT45/Wyxe97LRlMElJSVo0f5HLkQIAKhPGeShvYdZSafnykE7ApqWmKjHeO85rl5Ojn6wrw9ixalujhlItKSupYVKS5ixinAcAQKVJwFqiZ7lvECRp1apVmj17thISEtSkSRNnWtmGDRs0fPhw5/Kbb75ZL7/8su6//35de+21mjRpkj755BONHz/exWeByiS7UbZyPDmKj4lXYlyiQlFubq4GjRnk7GflZOnZX59VVnyWLh52sRrVaOScP/T8oS5HCQAIdIzzEGg6W+sB63caHS01aaJQHeelDPKO82QJ6VdfVWxKilafcorUubNzduJQxnkAAFSqFgR//vmnjjzySGczgwcPdvYfffRR5+dNmzZp7dq1eddv3ry5Mwi3aojOnTvr+eef19tvv+2skAuUhexm2c5pq4RWCvurCiCURUVEqW2id4EK+sACAEqDcR4CTZ9s7zhPLVtKERFuh+M+G+u2b+/dX7DA7WgAAKjUXK2APemkk4pdXX3YsGGF3mbWrFnlHBlCkX0WfQnYUG0/UJgOdTto3tZ5WrBtgU5reZrCw4KqdTQAwCWM8xBoTvElYFu1cjuUwGEJ2B9/9C5Otn+/VES/ZQAAcHjIpAB/WbJ9iTzxHkWERah5reZuhxMwWtZqqdjIWKVmpmrNrjVuhwMAAFB6KSk6KifHu08C9m916kj16llvAom+rwAAlBsSsMBfvl7mXfijWc1mio6IdjucgBERHqF2ddo5+1YJCwAAEHQmTPB+8bFkY40abkcTWGhDAABAuSMBC/zlm+Xf5PV/RX4d6nRwThelLFJO7l/VIwAAAMHiG+84j+rXYhKwq1Z5FykDAABljgQsIGl/1n79vObnvCn3yK9pzaaqFl1N6dnpWrFzhdvhAAAAlJxNr//+e+8+CdgDJSRISUm2IIK0cKHb0QAAUCmRgAUk/bz2Z2XkZChsb5gS4xLdDifg2MJb7et4qyPmb53vdjgAAAAlN2+etGWLUm2/cWO3owlMtCEAAKBckYAFJE1cMdE5jVwbqbCwMLfDCUgd6nrbECxOWSxPZNGrWgMAAASUid5x3rTISCkiwu1oAjsBu2aN6lvFMAAAKFMkYAFJ3638Li8Bi8I1rN5QNWNrKis3S9nNs90OBwAAoFQJ2CkkX4sWH59XHXxOVpbb0QAAUOmQgEXI25K6RXO3zHX2I9YxMC+KVQb7FuPKOoKBOQAACALp6dJPPzm7U6wCFgetgj03mwPtAACUNRKwCHnfr/QuynBk/SMVvp9fiZK0Ichulq1d6bvcDgcAAKB4v/ziTcImJWlJOOO8YrVr55z0yMlxWhEAAICywygEISO5Q7LiE+IP2AY+OdC5fMFXC5S611meAUWoV62e6sTVkSKlzxd97nY4AAAAjs7JyUqMjz9g+99ZZzmXj9i2TalpaW6HGdiqV5eaNfPuf/KJ29EAAFCpMA8HIWPjxo0aNGZQvvM8Ho9e+O0FZWVmacC1A/TBNx+4Fl8wVcFOXj1ZIxeM1MAjvclrAAAAN23YuFEpg/KP8xxvvCFt3qxLzz5b13zOweMStSFYvVoaNUq67z63owEAoNKgAhYhLWVfilIzUxUZHqkm8U3cDieo2hD8sPIHbU3b6nY4AAAAhdu3z0m+Olq0cDua4JCcLKcD7IwZ0vLlbkcDAEClQQIWIW3VrlXOaeMajZ0kLA4uoUqCwjeHK8eTo08XfOp2OAAAAIWzSk5Tp45UrZrb0QSHqlX1Y8Rfi9KOGOF2NAAAVBokYBHSVu/yDsyb1fyr3xVKJGpplHM6Yj4DcwAAEKBWeQ+0q3lztyMJKqOjvOM8ffih9etyOxwAACoFErAIWdb/1ZeAbV6TgXlpE7BhCtPUdVO1dvdat8MBAAAougLWt7AUSuRrS8BWqSItXeptRQAAAA4bCViELOtfuj97v6LCo5RUPcntcIJKeFq4Tmh6grM/av4ot8MBAADILzVVSknx7pOALZXUsDCpf/+/q2ABAMBhIwELhXr/16bxTRUR/levK5TYpR0udU5pQwAAAAK2+rV+fW81J0rniiv+7gOb7SzLBQAADgMJWIQs+r8engvbXegsXDZr8ywtSVnidjgAAAAH9n+l+vXQnHaalJgobd0q/fCD29EAABD0SMAiJOV6cknAHqbacbV1WsvTnH2qYAEAQEBWwLIA16GxPrADBnj3aUMAAMBhIwGLkLQ5dbMycjIUExGjBtUbuB1O0Lqsw2XO6YdzP3QWNQMAAHDdnj3Sjh2S9TJt0sTtaILX5Zd7Tz//XEpLczsaAACCGglYhCRf9av1fw0P49fgUJ3b9lxVjaqqFTtX6Lf1v7kdDgAAwN/tBxo0kGJj3Y4meB19tNSihTf5Om6c29EAABDUyDwhJK3ZvcY5bVqzqduhBLWq0VV1QbsLnP3hc4a7HQ4AAIC0xjvOo//rYbIKYl8V7EcfuR0NAABBLdLtAICKZlPl1+5e6+zT//XQpKamKj4h3tnPbpwtnS+9PvV1fTTwI4XlhDnnJyUladH8RS5HCgAAQs5a7zhPTTnQfijSUlOVGO8d57XKyZHNccr++mt1qF5dKeHe+p2GSUmas4hxHgAAJUUCFiFna9pWpWenKzoiWvWr1Xc7nKCUm5urQWMGefc9uXrxtxe1V3t1xqtnKLlOsnP+0POHuhwlAAAIOamp0vbt3n36vx7yOC9lkHec53jrLUVu3KjFxx8v9ejhnJU4lHEeAAClQQsChGz7gcY1GtP/tQzYa9ixXkdnf+6WuW6HAwAAQpmv/UC9evR/LSsdveM8zWWcBwDAoSL7hJDjaz/QJJ6qiLLSuV5n53TpjqXal7XP7XAAAECoJ2BpP1B2OnTw9oPdsOHv6mIAAFAqJGARcv1f8xbgimdgXlbqVq3rtHOwdgQLti5wOxwAABCq6P9a9qpVk1q29O7PmeN2NAAAhE4CduXKlWUfCVABduzfodTMVEWERahhjYZuh1Mpq2DnbGFgDgDBjHEegtb+/dKWLd59+r+Wrc6d/25D4PG4HQ0AAKGRgG3VqpV69+6tDz/8UOnp6WUfFVBOfNWvjWo0UmQ4a9CVpQ51OyhMYdqwd4O272N6GgAEK8Z5CFrr1nlPa9f2Vm2i7LRpI8XESLt3S6tXux0NAAChkYCdOXOmOnXqpMGDB6t+/fq66aabNH369LKPDihj9H8tP9Wiq6lVQitnnypYAAhejPMQtOj/Wn6ioqT27b37tCEAAKBiErBdunTRf//7X23cuFHvvvuuNm3apF69eqlDhw564YUXtG3btkO5W6Dc0f+1fHWq18k5nbd1njxiehoABCPGeQj6BCztB8q3DcHChapKGwIAACpuEa7IyEidf/75+vTTT/XMM89o+fLluvfee9W4cWNdddVVzoD9YF555RU1a9ZMsbGx6tmz50ErLF588UW1adNGVapUcR5n0KBBTI9DieRWzdWu9F3ONHlrQYCy16Z2G0VHRDuvc05SjtvhAABcHucZxnqoCLGWEPR9JknAlo/GjaWEBCkrS2dlZbkdDQAAoZOA/fPPP3XrrbeqQYMGTkWEDcpXrFihiRMnOlUT/fv3L/b2o0aNcqa3PfbYY850t86dO6tv377aunVrodf/+OOP9eCDDzrXX7Rokd555x3nPv7xj38cztNAiMhp4E0I1qtWTzGRMW6HUylFRUSpXZ12zn5WOwbmABDMDnecZxjroaJ0zsmRcnO9vV9r1nQ7nMopLEzq5J3tdAkJWAAAyj8Ba4Pwjh076thjj3UG4MOHD9eaNWv0r3/9S82bN9fxxx+vYcOGOQPtg93PDTfcoIEDB6pdu3Z6/fXXFRcX50x3K8yvv/6q4447TpdddplTSXHaaafp0ksvpS8ZSpWApfq1fB1Z/0jnNKt1llIzU90OBwDg0jjPd1+M9VARelgC1lelaYlClGsbgl72eq/1rq0AAADKKQH72muvOQNjG4yPHTtWZ599tsLD899V3bp1naqFomRmZmrGjBnq06fP38GEhzs/T5s2rdDb2BcBu41vEL5y5Up9/fXXOvPMM4t8nIyMDO3ZsyffhtBOwDau0djtUCo1e30TqiRI0dKnCz51OxwAgAvjvIoa6zHOg093XwK2EQfay5VVFzdr5v0S+cEHbkcDAEDlTsDa1LMHHnjAmZLmz+PxaO1fR0Kjo6N19dVXF3kfKSkpysnJUb169fKdbz9v3ry50NvYl4HHH3/cWQgiKipKLVu21EknnVTstLSnnnpK8fHxeZv1EkPoSc9OV04dErAVISwsTF3qd3H2351deIUTACBwlcU4r6LGeozz4PB4/k7A8hmouMW43n/fee0BAEA5JWBtMGyD6oJ27NjhTE0rL1OmTNG///1vvfrqq860tzFjxmj8+PF64oknirzNQw89pN27d+dt69atK7f4ELhmbpopRUpVo6qqZix9wcpb53qdpVzpl7W/aOn2pW6HAwAIgnHeoYz1GOfBsXKl6lgiMCJCKnDgAOWgXTs5TaaWLZN++83taAAACAqRh3Ijq4AoTGpqqrPCbUkkJiYqIiJCW7ZsyXe+/Vy/fv1Cb/PII4/oyiuv1PXXX+/8bP3J0tLSdOONN+rhhx8+YHqciYmJcTaEtl/X/eqcNo5v7FRoonzViKmhyDWRym6erWGzh+nfp/zb7ZAAABU4zquosR7jPDh+9Y7zlJQkRR7S1xuURnS0voqK8i7EZVWwxxzjdkQAAAS8Uo1QbBVbYwmsRx991FlEwcemmP3+++/q0sU79fhgbOraUUcdpR9++EHnnnuuc15ubq7z8+23317obfbt23fAwNsG9sV9WQD8E7AswFVxohZGOQnY9+e8ryd6P6GIcO/vKgAgMJXlOM8w1kOFJ2Dp/1phRvkSsCNHSkOHSlWquB0SAACVJwE7a9asvAHwvHnznIG1j+137txZ9957b6kG+tY/rFu3burRo4defPFFp8rBVso1V111lRo2bOj09zL9+vVzVtM98sgj1bNnTy1fvtyplLDzfYNzoCD7vOZVwNL/tcJEropU7Sq1tXHvRn234jud0foMt0MCAFTgOM8w1kOFJmDp/1phfrHfx2bNpNWrpc8+k6680u2QAACoPAnYyZMnO6c2aP7vf/+rGjVqHNaDDxgwQNu2bXOqLGwxBquq+Pbbb/MWa7CFHvyrIP75z386VRl2umHDBtWpU8cZkD/55JOHFQcqt9W7VmtL2hYpR0qqnuR2OCEjLCdMV3S6Qv/9/b/OYlwkYAEgsJX1OM8w1kO527NHmjfPu08FbIXxWEuv666zviHSW2+RgAUA4CAOqUnSe++9p7JiU9CKmoZmCzH4i4yM1GOPPeZsQEn5ql8jtkYoMpy+YBVpYJeBTgJ23OJxStmXosS4RLdDAgBU4DjPMNZDuZo+3cq2tTosTM2qV3c7mtBilez2u/rzz9KSJVKbNm5HBABAwCpxNur888/XsGHDnGoI2y+OrVgLBFwCdhNTFyta5/qd1bVBV83cNFMfz/tYd/a80+2QAACFYJyHYG8/8GdEhJq5HUuoadhQOvNM6auvpLfflp591u2IAAAIWPlXOShGfHx83urxtl/cBgSSX9eTgHW7Cta8M+sdFlABgADFOA/BnoCdHsksJ1fccIP39P33pcxMt6MBACBgRR7KdLSynpoGlJe9GXs1d8tcZ58EbMVKTU1VfEK8PDEe6Xo570P15OpOKwh/SUlJWjR/kWtxAgAY5yFI5eZK06Y5u3+wSFuFSktNVWJ8vCI8Hs0JC1P9bds0sGZNfRkVle96DZOSNGcR4zwAAA7pUPH+/fudSra4uDjn5zVr1ujzzz9Xu3btdNppp5V1jMAhm75hunI9uWoa31Q703a6HU5Iyc3N1aAxg5z90YtGa/7W+Tpi0BE6p805+a439PyhLkUIACgM4zwEjYULvYtwVa2qhX6LuaFixnkpg7zjPP3wg/TLL3ovKUm64op810scyjgPAABzSCOV/v37a/jw4c7+rl271KNHDz3//PPO+a+99hqvLALGtPXeqohjGx/rdighrVuDbs6pJWHTs9PdDgcAUAzGeQgaf1W/qmdP5fzVQgMu6NrVe7pihf2n4XY0AABUngTszJkzdfzxxzv7n332merXr+9UR9hg/X//+19Zxwgc9gJcJGDd1SS+ierE1VFWbpbmbJnjdjgAgGIwzkOw9X/VMce4HUloq1VLatHCuz9rltvRAABQeRKw+/btU/Xq1Z397777zlktNzw8XEcffbQzQAcCgbUeoAI2MNjCLt2SvFWwf278k8W4ACCAMc5D0CVgj2Wc57ojj/w7AWu9eQEAwOEnYFu1aqWxY8dq3bp1mjBhQl4/sK1bt6pGjRqHcpdAmVucsli70ncpLipOnep1cjuckGfvQVR4lFL2pWjNbr7AA0CgYpyHoJCSIi1d6t0/+mi3o0HbtlKVKtLevdLy5W5HAwBA5UjAPvroo7r33nvVrFkz9ezZU8f8Ne3HqiSO9B39BAKk/UCPhj0UGX5I682hDMVGxqpjvY55VbAAgMDEOA9B1f81OVlKSHA7GkRGSp07e/dnzHA7GgAAAs4hZaUuvPBC9erVS5s2bVJn3x9aSaeccorOO++8sowPOGTT1v3VfqAR09ICaTGumZtmalHKIqVmpqpadDW3QwIAFMA4D0GVgKX/a+A46ijpt9+kZcu8i3HVrOl2RAAABHcFrLEFGawKwnqC+dgquW1t+gkQAH5dzwJcgaZB9QZqWL2h05931mYWaQCAQMU4DwGP/q+BJzFRat5csl7/fzLbCQCAw66ATUtL09NPP60ffvjB6QeWW6DR+sqVKw/lboEys33fdqcHrDm6EX3BAoktxrVhyQbN2DhDxzU+zu1wAAAFMM5DwMvKkqZP9+6TgA0s3btLq1Z5F+M66SS3owEAILgTsNdff71+/PFHXXnllWrQoIGzwjkQSH5b/5tz2qZ2G9WOq+12OPDTvk57TVgxQbszdmv5DhZpAIBAwzgPAW/OHGn/fqlWLalNG7ejgT97P2yxvj17pAUL3I4GAIDgTsB+8803Gj9+vI47juo1BPYCXLQfCDxREVHqUr+LkyRnMS4ACDyM8xA07Qes/6tfmwwEAHs/unWTJk2S/vjD7WgAAAgYhzRiqVWrlhJYbRQBbNr6vxbgIgEbsItxmWU7lik3Pv/UVgCAuxjnIeCxAFdg69pVioiQNmxQ1+xst6MBACB4E7BPPPGEHn30Ue3bt6/sIwIOU3Zutn7f8LuzTwI2MFlbiFa1Wjn7mZ0z3Q4HAOCHcR4CHgtwBbaqVaUOHZzdWzIZ5wEAcMgtCJ5//nmtWLFC9erVU7NmzRQVFZXv8pkzZ/LqwjVzt8zVvqx9qhlbU20TWa05UNniaMt3Lldm+0ztSt/lvF8AAPcxzkNAW79eWrvWO9W9Rw+3o0FRjj7a6dXbzypg7f1q0sTtiAAACL4E7Lnnnlv2kQBl3P/VEnzhYfQFC1QtarVQ3ap1tVVb9fbMt3Xvsfe6HRIAgHEegqX9QOfOUrVqbkeDotSvLzVvrshVq6SXXpKefdbtiAAACL4E7GOPPVb2kQBlvQBXI6alBTJbVduS5F8s+UL/+/1/uqvnXc4CXQAAdzHOQ0Cj/UBwVcFaAvbNN6VHH5WqV3c7IgAAXHPI5YG7du3S22+/rYceekg7duzIm5K2YcOGsowPKJHkDsmKT4h3tpFTRzrnPX3n03nn2Za6N9XtMFFAx7odFbYvTOv2rNNnCz9zOxwAwF8Y5yGQdE5OVmJ8vLP9adWUkm5+992882xLTWWcF3Bat9YyaxWxZ4/0zjtuRwMAQPBVwM6dO1d9+vRRfHy8Vq9erRtuuMFZLXfMmDFau3athg8fXvaRAsXYuHGjBo0ZpL0Ze/XCby8oTGG68/k7FRMZk3edIX2GuBojDhQZHqnoOdHKOCZDz0x9Rpd0uMSpjAUAuIdxHgLNho0blTJokJSVJT39tHPe6zfcoNdr1cq7TswQxnkBJyxMr0VH64X0dOmFF6Rbb5Wio92OCgCA4KmAHTx4sK655hotW7ZMsbGxeeefeeaZ+umnn8oyPqBUrJLS1KtWL1/yFYHLErDVoqtpzpY5+nrZ126HAwAhj3EeAtamTVJurrf3a00W7wwGo2wRvwYNpHXrpI8+cjscAACCKwH7xx9/6Kabbjrg/IYNG2rz5s1lERdwWAnYRjUauR0KSigsI0y3dLvF2X/y5yfl8XjcDgkAQhrjPAQsS+KZxo2d6koEvgx7n+65x/vDU09JOTluhwQAQPAkYGNiYrTHevkUsHTpUtWpU6cs4gIOyfrd653TxjUaux0KSmHQ0YMUExGjaeun6ac1VFcBgJsY5yHgE7CNONAeVOyAjrWLWLZMGj3a7WgAAAieBOw555yjxx9/XFnWh+mv1cytJ9gDDzygCy64oKxjBEokOzdbG1M3OvskYINLg+oNdO2R1+ZVwQIA3MM4DwHJZsisX/93BSyCh7WMuPNO7/6//+19LwEACDGHlIB9/vnnnZVGrQpi//79OvHEE9WqVStVr15dTz5J8gTu2LR3k3I9uaoaVVU1Y+kLFmzuO/Y+Z1GuiSsn6pe1v7gdDgCELMZ5CEg7d0ppaVJEhLenKILLHXd4E7Fz5kiff+52NAAAVLjIQ7mRrYo7ceJETZ06VXPmzHEG6V27dnVWzAXc7v/aOL6xU62D4NK8VnNd2+VavTnzTT086WFNuXoK7yMAuIBxHgK6/YAlXyMP6SsM3FS7tnT33dK//iU98ojUv783mQ4AQIgo9eglNzdXw4YN05gxY7R69WonQdK8eXPVr1/fWTyHhAlcT8DSfiBoPXLiI3p/zvtOH9jvV36vU1ue6nZIABBSGOchKBbgQnCyxbhefllauFAaOVK6/HK3IwIAIDBbENjA2/qCXX/99dqwYYM6duyo9u3ba82aNbrmmmt03nnnlV+kQDE88mjdbu/AvFENFmYIVvbe3dztZmf/n5P/6fyfAwCoGIzzENB8/V9ZgCt41awp3X+/d/+xx6S/+kwDABAKSpWAtYqIn376ST/88INmzZqlESNGaOTIkc70tO+//16TJk3S8OHDyy9aoAieGh6lZaUpPCxcSdWT3A4Hh+GhXg8pLipO0zdM19jFY90OBwBCBuM8BKpqdkB261bvD1TABjdbjKtuXWnFCumdd9yOBgCAwEzA2kD8H//4h3r37n3AZSeffLIefPBBffTRR2UZH1AiOQ1ynNOkaknOQk4IXvWq1dPgowc7+/dNvE8Z2RluhwQAIYFxHgJV15wcK9H2VlBWr+52ODgcVatK//ynd//RR6Xdu92OCACAwEvAzp07V6effnqRl59xxhlOlQRQ0bKTsp1T2g9UDg/0ekANqjXQip0r9L/f/+d2OAAQEsprnPfKK6+oWbNmio2NVc+ePTV9+vRir79r1y7ddtttatCggWJiYnTEEUfo66+/LvXjovLoYQlYQ/uByuHmm6W2baVt27yLcgEAEAJKlYDdsWOH6tWrV+TldtnOnTtLFQCDcpRlBWyT+CZuh4IyUC26mp465Sln/4mfntCW1C1uhwQAlV55jPNGjRqlwYMH67HHHtPMmTPVuXNn9e3bV1t908kLyMzM1KmnnuosAPbZZ59pyZIleuutt9SwYcNSPx9UHj2zvQfa1YRxXqUQFSW98IJ3/7//lZYvdzsiAAACKwGbk5OjyMiip3dHREQo2zdAKgEG5SgLu9J3KTcx19lvHE9fsMriys5XqltSN+3N3KuHJz3sdjgAUOmV9TjPvPDCC7rhhhs0cOBAtWvXTq+//rri4uL07rvvFnp9O98SwWPHjtVxxx3nHKQ/8cQTnTEiQlR2trr7KmBJwFYeZ5zh3WwhrsHe1lMAAFRmkaVdHddWwbXK08JkZGQc8qDc2KB8/PjxzuDb+owVNSj/9ddfFWVHTiVnYI7Q9uu6X6UwKaFKglM5ieCSmpqq+IT4Qi/LbpAtXSy9M+sdXdX5Kp3Q9IQKjw8AQkVZj/PswPmMGTP00EMP5Z0XHh6uPn36aNq0aYXe5osvvtAxxxzjzHYaN26c6tSpo8suu0wPPPCAkwBGCJozR87ozj6Xdeq4HQ1KKS01VYnxhY/zWufk6EdJ0V9+KY0ZI51/foXHBwBAQCZgr7766oNe56qrrgqoQbl9WfD/wrBnz54SxYfg8cvaX5xT2g8Ep9zcXA0aM6jIy79c+qVmbpqpG768QXNunqPYyNgKjQ8AQkVZjvNMSkqKU1VbsK2B/bx48eJCb7Ny5UpNmjRJl19+udNiavny5br11luVlZXlzJgqiHFeCPjFO85T48b2ZcHtaHAI47yUQUWP8zRpkvTzz9Jtt9lqf96F1gAACPUE7HvvvVdmD1wRg3Lz1FNPaciQIWUWNwIPCdjK7dQWp2rWsllaqqV68qcn9cTJT7gdEgBUSmU5zjucZE3dunX15ptvOgfXjzrqKG3YsEHPPvtsoWM9xnkhlICl/UDldMIJWjZ1qlpv3iw98ID0xhtuRwQAQLkIqsPI/oNyG5APGDBADz/8sNO6oChWYbt79+68bd26dRUaM8pXRnaGpm/wLtzWpAYD88rIKl5jf/RWvT499WmnGhYAEPgSExOdJOqWLfkXUrSf69evX+htbJFVW2DVf2ZTcnKyNm/e7MyeKohxXiXn8ZCArewiIzU49q/ZTW++KX3/vdsRAQBQuRKwFTEoN9bHrEaNGvk2VB5/bvxTGTkZCtsX5vSAReUUuTxSFyRfoOzcbF06+lKlZaa5HRIA4CCio6OdA+Y//PBDvoPp9rO1lCqMLbxlM5zsej5Lly51xoB2fwUxzqvkVq6UNm+W02SCRXcrrWm2+N8tt3h/sDYnKSluhwQAQOVJwFbEoByh034gYmOEwsLC3A4H5SRMYXrj7DfUsHpDLd2+VHd/e7fbIQEASmDw4MF666239P7772vRokW65ZZblJaWlrcAq/WU9V8PwC63BVfvuusuZ4xni7P++9//dvr/IwT9Vf0624ovLEmHyuu556S2baVNm6Rrr/VWPwMAUIm42oKAQTkO1y/r/k7AonKrHVdbH5z3gZOMfXvW2/pkwSduhwQAOAhrF/Xcc8/p0UcfVZcuXTR79mx9++23eWsArF27Vpss4fKXxo0ba8KECfrjjz/UqVMn3Xnnnc6478EHH3TxWcA1tjiTpN+LWGwXlUhcnDRihFXpSF9+Kb38stsRAQBQpiLdHpRv27bNGZRbGwEbmBcclIf7rXbqG5QPGjTIGZQ3bNjQGZQ/YA3bEXJyPbmaunaqsx+5kaqIUNC7eW892OtBPfXLUxo4bqDa1G6jzvU7ux0WAKAYt99+u7MVZsqUKQecZzOhfvvttwqIDMFSAftbRITudDsWlL8uXaRnnpEGDbJKHalTJ+nEE92OCgCAMuF61opBOQ7Vom2LtDN9p6pGVVX41qBaTw6H4fHejzu9fyeunKj+I/vrjxv+UJ2qddwOCwAAlKVt26QlS5zd6bQfCB133SX9/rs0cqR04YXSH39IzZq5HRUAAIeNrBWCvv/r0Y2OVpiH/q+hIjI8UiMvHKlWCa20ZvcaXfDJBUrPTnc7LAAAUJamemc5qX177aLPf+iw9/qdd6SuXb2LcZ1zjrR7t9tRAQBw2EjAImj9vNbbF6xXk15uh4IKllAlQV9c8oVqxNRwPgcDPhug7Nxst8MCAABl3H5AvRjnhWQ/2LFjJWtLN2+e1K+ftH+/21EBAHBYSMAi6CtgScCGpuQ6yU4SNiYiRl8s+ULXf3G90xcYAABUAiRgQ1vjxtK330o1angXY7voIikry+2oAAA4ZCRgEZTW7V7nTD+PCItQz4Y93Q4HLjmx2Yn69KJPnc/B+3Pe101f3qSc3By3wwIAAIcjLU2aMcO7TwI2tBfl+uorKTZWGj9euvhiKSPD7agAADgkdLRHUJq6ztsXrEv9LqoeU93tcFDOUlNTFZ8QX+Tl0W2itb/vfr09623ty96n98993+kVCwAAgtD06VJ2ttSokdS0qdvRoJylpaYqMb7ocd4pYWH6ICxM0daW4NxzpdGjvW0KAAAIImQoENTtB45vcrzboaAC5ObmatCYQcVe5z/3/0dZ/bL08byPlZqZqo/P/1hVo6tWWIwAAKAc2g+wAFdIjPNSBhU/zrvg2Wc12uPxtiU4/XTp88+l2rUrLEYAAA4XLQgQlFiACwVFLY/SmIvH5PWEPf6947Vhzwa3wwIAAKVF/1cU8GNkpDRhglS9urcn7DHHSEuXuh0WAAAlRgIWQWdX+i7N2zLP2T+uyXFuh4MA0q9NP02+erLqxNXRrM2z1OPtHpq5aWbe5ckdkp1WBsVtdh0AAOASaz3w66/efRKw8Hf88dLUqVKTJtKyZdLRR0tTpuRd3Dk52WllcLDNrgcAQEWjBQGCzrR10+SRR60SWql+tfpuh4MAc0zjY/T79b/r7BFna+G2hU4lrLUj6N+2vzZu3HjQVgZDzx9aYbECAIAC5s2z5u9SjRpShw5uR4NA07Gj9Pvv3l6wdnraadIbb0gDB2rDxo0HbWVgEocy1gMAVDwqYBF0flzzo3NK+wEUpXmt5vr12l91WsvTtC9rn84bdZ6enfqsk7gHAAAB7EfvOE/HHSdFRLgdDQJR/frS5MnSxRdLWVnStddKDzygcOsRCwBAgCIBi6AzadUk5/TkZie7HQoCWHxsvMZfNl63dLvFSbze//39Sj8tXdm52W6HBgAAijLJO85T795uR4JAVqWKNGKE9Mgj3p//8x99sH+/lJHhdmQAABSKFgQIKrvTd2vGphnOfu/mDMzxt9TUVKeHa0GWfI3tFKv0E9OVlZylYbOHaUD7AaoeU92VOAEAQDH9X30VsCdzoB1/S0tNdfq3Fub8KlX03/371dc+P2+/LV16qZSQUOExAgBQHBKwCCo/rflJuZ5ctU5orUY1GrkdDgJIbm5usf1dV+5cqQ9+/0AbtEFvzXzLScI2rNGwQmMEAADFmDVL2rNHqllT6tLF7WgQYOO8Yvu7btyo9W+9pUYpKdJbb0kXXSS1aFGRIQIAUCxaECCoTF492Tk9uTlVESidFrVaSO9IdeLqaG/mXg2bM0wLti1wOywAAFCw/cCJJ9L/FaWTlKTj7LRhQyk9XfrwQ+nPP92OCgCAPCRgEZT9X3s3o/0ADsFO6bojr9MRCUc4vWA/W/iZft/wu9tRAQAAYwsrGfq/4hBstn+uuUbq3FmyBbnGj/d+plicCwAQAEjAImik7EvRnC1znP2Tmp3kdjgIUjGRMRrQYYC6JXVzfv52+bf6fuX38jA4BwDAPZmZ0s8/e/fp/4pDFRkp9e/vraI2P/0kffml9TBwOzIAQIgjAYug8eNq76IMHep2UL1q9dwOB0EsPCxcZ7Y6M6+Seuq6qRq3ZJxycnPcDg0AgNA0fbq0b5+UmCi1b+92NAhmYWHSSSdJZ5/t3bfewiNHepP8AAC4hAQsggbtB1CWwsLCdELTE3ROm3MUpjCnunrE/BHyRFIJCwCAq+0HwvmKgjJw1FHSgAHeqthly6Thw71JfgAAXMDoBkFj0moSsCh7R9Y/Upd0uERR4VFasXOF9p2zT2mZaW6HBQBAaPnhB+8p/V9Rltq0ka66SqpSRdqwQfrgA9Wk7RQAwAUkYBEU1u5eq8UpixURFqHezRmYo2wdUfsIXdnpSkVHRCuncY76jehHEhYAgIqyd6/066/e/VNPdTsaVDaNG0sDB0pVq0qbN2tMWpq0Y4fbUQEAQgwJWASFCcsnOKc9G/VUzdiaboeDSqhxfGNd0fEKKUOavHqyk4Tdl8U0NQAAyt2UKVJWltSihdSqldvRoDKqU0e6+monCdvJFuTq04ckLACgQpGARVCYsMKbgO3bsq/boaCSJ2HjxsapenR1Jwl79sdnk4QFAKC8TfCO89SXcR7KPwm71bcwF0lYAEAFIgGLgJedm63vV37v7JOARXmL3BypCVdMyJeE3Z+13+2wAACovEjAoqLUqaPz4uKkunX/TsLu3Ol2VACAEEACFgFv+obp2p2xWwlVEtQtqZvb4SAEHNP4mHxJ2As+uUCZOZluhwUAQOWzcqW0fLl3pXoW4EIFWBIRIU2a9HcS9swzvX2IAQAoRyRgETT9X/u06KOI8Ai3w0EIJWG/vvxrxUXF6Zvl3+iy0Zc51dgAAKAcql+PPVaqUcPtaBAq2reXvv9eSkiQfvtNOuccaT8zngAA5YcELALedyu/c05Pa3Ga26EgxPRq0kvjLhmn6IhojV40WteOu1a5nly3wwIAoPKg/QDc0rGj9/NXvbp3IbgLLpAymfEEACgfJGAR0Hbu3+m0IDB9WzEwR8WzyutPL/pUEWER+mDuB7pt/G3yeDxuhwUAQPDLyvJOBTckYOGGbt2k8eOlKlWkb76RLrtMymbGEwCg7JGARUCbsGKCU3HYrk47NarRyO1wEKLOaXOOPjz/Q4UpTK/PeF33TbyPJCwAAIdr6lRv783EROnII92OBqHq+OOlsWOl6Ghp9Gjp2mulXGY8AQDKVmQZ3x9Qpr5Y8oVz2u+Ifm6HghCRmpqq+IT4Qi+LaRej9FPT9fy05/X+2+9r2yfbKjw+AAAqjS+84zyddZYUTl0IKkZaaqoS4w8c650REaH37AvyBx9o1JdfasCOHVJYmCsxAgAqHxKwCFhZOVkaNXOUFC29dNdLem3Ta0VeN3VvaoXGhsorNzdXg8YMKvLy39f/rm9XfKuU9il67tfndO+x91ZofAAAVAo2k+SvBOzVn3yi8Z9/XuzBUaAsx3opg4oY682bJ40ZowG7dkn33y/95z8kYQEAZYIELALWL2t/UW50rrMK/T0v36PwsKIrI4b0GVKhsSF09WzUU5m5mZq0apLTiqBqVFXd0v0Wt8MCACC4LF4srVihDEnv3323d/p3EWKGMM5DBS7MZb2Jv/xSeu457wJdjz7qdlQAgEogIOb6vPLKK2rWrJliY2PVs2dPTZ/uXXTpYEaOHKmwsDCde+655R4j3Gs/cETCEcUmX4GKdnyT46Wp3v1bv75VVY6t4rQtKLgld0h2O1QAcB3jPBTqr+rXnyMiik2+AhWua1fd66t6fewxPRob67QsKLh1TmacBwAIogrYUaNGafDgwXr99dedQfmLL76ovn37asmSJapbt26Rt1u9erXuvfdeHW9N01Hp2AJHXy790tk/IvEIt8MBDjRJ6nFxD03fMF0ZfTPUb1A/Z7E4f0PPH+paeAAQCBjn4WAJ2AlRUerjdixAAS95PHqud29p8mQ9npGhx/v0kbp1y3edxKGM8wAAJed6WeELL7ygG264QQMHDlS7du2cAXpcXJzefffdIm+Tk5Ojyy+/XEOGDFGLFi0qNF5UjEUpi7Ri5wopW2pZq6Xb4QCFOr3l6epSv4s88mj0otFatn2Z2yEBQEBhnIdCbdsmTZvm7H4b6Xo9CFA4OwB03HHe/fHjpblz3Y4IABDEXE3AZmZmasaMGepjRxR9AYWHOz9P+2tQVpjHH3/cqZq47rrrDvoYGRkZ2rNnT74NwdN+IHJ9pKIjmJaGwGRTY/sd0U/t67RXridXnyz8RKt3rXY7LAAICIzzUCRLZtkiXEceqU3hrteDAIWzNgSnnCJ17+79eexYadEit6MCAAQpV0c8KSkpTpVDvXr18p1vP2/evLnQ2/zyyy9655139NZbb5XoMZ566inFx8fnbY0bNy6T2FG+Pl/sXQk3ciVVEQhs1p/4vLbn6YjaRyg7N1sfz/uYJCwAMM5DccaM8Z6ec47bkQAHT8KecYbUpYv3oMFnn3kXkAMAoJSC6pDz3r17deWVVzqD8sTExBLd5qGHHtLu3bvztnXr1pV7nDg8lryyvpqW2IpcQQIWgS8iPEIXtbtILWq1UFZulj6a95GW71heotvaQl2FLeDFYl4AQg3jvBCxe7c0YYJ3/8IL3Y4GKFkStl8/qUMHKTdX+uQTad68Et3UFuoqbAEvFvQCgNDjanbLBtcRERHasmVLvvPt5/r16x9w/RUrVjiLMvSzP4B/ybU/gvZEIiOdBR1atszfLzQmJsbZEDw+XfCpc3pi0xM1Y98Mt8MBSiQyPFKXdrjU+fwu3bFUI+aPUEzLg//fs3HjRg0aM6jY67CYF4BgxDgPRS6+lZkpWcKpfXu3owFKxlplnHeeFBEhzZnjVHFfGRt70Jtt2LhRKYOKH+cZFvQCgMrP1QrY6OhoHXXUUfrhhx/yDbTt52OOOeaA67dt21bz5s3T7Nmz87ZzzjlHvXv3dvaZdlY5fLrQm4C9uP3FbocClDoJa59bX0/Y/Wfu14dzP3Q7LABwBeM8FMqqB83FF3srC4FgSsL27y916+b8ODQ9XXrxRbejAgAECdfndw8ePFhXX321unXrph49eujFF19UWlqas1quueqqq9SwYUOnx1dsbKw62NQPPzVr1nROC56P4LRq5yr9sfEPp/3A+cnn6wE94HZIQKnbEdhnNyoiSrM3z9ZVn1+ltMw03dTtJrdDA4AKxzgP+ezaJX33nXf/oovcjgYoPTtocOaZdoRJ+vVXyapbU1Olhx/mgAIAILATsAMGDNC2bdv06KOPOgsydOnSRd9++23egg1r1651VsxFaFW/ntTsJNWtWtftcIBDYgcQzjniHC34doGyumTp5vE3a1f6Lj3QiwMKAEIL4zwU2n6gXTvaDyB4WaK1Tx89PWOGHszIkB55xHtw4dlnScICAAI3AWtuv/12ZyvMlClTir3tsGHDyikquOGTBd5paRe3o/0AgltYWJhif4zVfbffp3//8m89+MOD2r5/u57p84xzGQCECsZ5KLT9ABDMwsL0XEyMHnzqKSv1l55/XtqxQ3rzTWta7XZ0AIAARMkBAsay7cs0Y9MMp3rwvOTz3A4HOGxhCtOTpzyp5059zvn52V+f1Q1f3qCc3By3QwMAoGJt3077AVQ+1oLgvfe8i3PZqX22rTcsAAAFkIBFwBg+Z7hz2rdlX9oPoFK559h79M457zgHF96Z9Y4u/uxiZWRnuB0WAAAVZ+RIKStL6tLF24IAqCyuuUYaPVqKiZHGjpXOOkvau9ftqAAAAYYELAKCrRj/wdwPnP2rOl/ldjhAmbv2yGv12UWfKToiWmMWjdFZH5+lvRkMzgEAIeL9972nV1/tdiRA2evfX/rmG6laNWnSJOnkk6WUFLejAgAEEBKwCAg/rflJa3avUXxMvPq36e92OEC5sNYaX1/2tapFV9MPq35Qnw/6KDc21+2wAAAoX4sWSX/84Z2mfemlbkcDlI/evaXJk6XEROnPP6Xjj1dSLuM8AIAXCVgEhPfneKsiLm5/sapEVXE7HKDcnNLiFE26apJqV6mt6Ruma9+F+7QnY4/bYQEAUH6Ge9tM6YwzpHr13I4GKD/dukk//yw1aiQtXqzxaWlUwgIAHCRg4bq0zDR9tvAzZ5/2AwgF3Rt2108Df1LD6g2VWztX7856V9v3bXc7LAAAyl5OjvSBt80U7QcQEtq2laZOlY44Qo09Hu/iXJs2uR0VAMBlJGDhus8Xf67UzFS1rNVSxzU+zu1wgArRrk47Tb12qsJ3hmt3xm69N/s9bU7d7HZYAACULeuHuWGDVLOmdPbZbkcDVIwmTaRfftGc8HBp3z5p2DBpzRq3owIAuIgELFz35ow3ndOrO1+tsLAwt8MBKkzTmk0V91mc6lerr7SsNA2fM1xb07a6HRYAAGXnrbe8p9b7NTbW7WiAilOnjvpXrSo1bSplZkoffSStXet2VAAAl5CAhasWbF2gn9f+rIiwCGeVeCDUhO8Ldw4+JFVP0v7s/U4SlnYEAIBKYfNm6fPPvfs33eR2NECFS7XikiuukFq2lLKypI8/ljZudDssAIALSMDCVW/MeMM5PafNOWpYo6Hb4QCuiI2M1RUdr1C9qvWcSlhblG7n/p1uhwUAwOF5910pO1s6+mipc2e3owHcERkpDRjgrYTNyPD2RN6yxe2oAAAVjAQsXLMva59T7Wdu7naz2+EArqoSVUVXdrpSiXGJ2pu5V8PnDtfu9N1uhwUAwKEvvuVrP3Az4zyEuKgobxuORo2k9HRp+HBp2za3owIAVCASsHDNqPmjnMWHWtRqoT4t+rgdDuC6qtFVdVWnq5RQJUG70nc5SVhboA4AgKDz3XfS6tXexbcuvtjtaAD3xcRIl18uNWjgXZjLkrA7drgdFQCggpCAhSs8Ho9uHXars7/hyw2qVbuW4hPiD9hS95J8QmipHlPdScLGx8Rrx/4d+mjeR/JEedwOCwCAUpnyV9L19X37lFi/vhLj4wvdUlMZ6yGE2EJ01hO2bl3JPvsffiilpbkdFQCgAkRWxIMABU1bP03pCenO4lt33HeHU/lXmCF9hlR4bIDb4mPjdVXnq/TOrHe0OXWzIs6MUFZOlqIiotwODQCAg1u+XCf8lVi9+YYbdHNiYpFXjRnCWA8hJi5OuvJK6Z13pJ07nYW54jwcbAeAyo4ELFwx9LehzmnHeh2LTL4Cwc6qeqySu9jrFFHlbW0ILutwmbMgV1azLN301U1655x3FGar6QIAEMj+9z/vNLtWraRikq9AMEtLTXWquItTZIV3tWreSlhLwm7cqDdtoS5bsM5OAQCVEv/Do8Kt3rVaYxaNcfaPbni02+EA5SY3N1eDxgwq9jrFVXk3rNFQF7a7UCPmjtB7s99T0/imeuykx8ohUgAAysiuXdK773r3j2ach8o9zksZVPw4r9gK79q1vQtzDR+u0y35eued0iuvSBxsB4BKiR6wqHAvT39ZuZ5cRayNUL1q9dwOBwhoR9Q+QrGTY539//vx//TurL++1AIAEIjeftvpabkwPFxq0cLtaIDA1rixdP75yrX9116TnnnG7YgAAOWEBCwq1N6MvXpr5lvOfvSsaLfDAYJC9Pxo/aPXP5z9G7+8UROWT3A7JAAADmRVfC+95Oy+ER1NJR9QEsnJejgmxrv/0EPSRx+5HREAoByQgEWFsuTrnow9alO7jSJX0wEDKKl/nfwvXdnpSuV4cnTRpxdpzuY5bocEAEB+n34qrV0r1amjz6JYOBIoqbcsAXvPPd4frr1W+vFHt0MCAJQxErCoMBnZGXp+2vPO/r3H3qswURUBlJQtvvX2OW+rd7Pe2pu5V2d9fJY27NngdlgAAHjZKu5PP+3dv/NOZVD9CpTOf/4jXXCBlJkpnXeetGSJ2xEBAMoQCVhUmA/nfqiNezcqqXqSU8kHoHSiI6I1+uLRapvYVhv2btDZI8522noAAOC6r7+W5s71ru5+221uRwMEH+ub/MEH3sXrdu6UzjxT2rrV7agAAGWEBCzKRXKHZMUnxOdtNWrX0I3Db3Qu2z5+u+rWravUvaluhwkEnVpVaunry75W3ap1NXvzbA34bICyc7PdDgsAEEI6JycrMT7+761GDf3ev79z2UuZmUps1kypqYzzgFKrUkUaN867gN3KldI550j797sdFQCgDNCEE+Vi48aNGjRmUN7PC7Yt0GcLP1OVyCq6+x93O5V8Q/oMcTVGIFg1r9VcX176pU4adpK+Wf6N7vj6Dr161qtOmwIAAMrbho0blTLo73Ge1qyRhg2TIiJ0x+23647q1RUzhHEecEjq1vVWlB9zjPT779IVV3j7K1uFLAAgaPG/OMqdx+PRz2t+dvZ7NOzhJF8BlJxVEflXlNt2asdTpc/tF0x6fcbrqnJqFafyHACACvfTT97TLl2k6tXdjgYIOmmpqfmrynv0UL+MDGXYhWPG6JUqVZzKcwBA8KICFuVuYcpCbUnbopiIGPVs2NPtcICgk5ubm6+i3N9v63/ThBUTlHF8htaMX1PhsQEAQpxVv9pUaavO69XL7WiAoB3r5asq95k3z0nA3paZqdWrV7sRGgCgjFABi3KV68nVj6t/dPaPbnS0qkRVcTskoFKx3yurLDf7++7X1LVT3Q4JABAqPB5p8mTv/pFHSjVruh0RULl07Cj17u3sPp2eLn31ldsRAQAOEQlYlKsFWxdo275tio2MdRJFAMpe35Z9dUTtI5w5DWePOFtzt8x1OyQAQChYtcpbARsRIZ1wgtvRAJXT8cc77T0ibP+ii6Sfva3dAADBhQQsyrX6dcqaKc7+sY2OdZKwAMpeeFi4Lky+UBEbI7QrfZf6fthXK3ascDssAECoVL8edZRUo4bbEQGVky2yevbZ+i4yUrIq2LPPlmbPdjsqAEApkYBFubEqvB37dyguKk49G9H7FShPURFRivsiTh3rdtTm1M069YNTtXb3WrfDAgBUVsuXS+vXS5YUovcrUL4iInRdlSre37U9e6S+faVFi9yOCgBQCiRgUS484R79uMbb+/W4xscpOiLa7ZCASi8sI0zfXfmdWiW00qpdq9T7/d5av2e922EBACpj9esU7ywnde8uVa/udkRApbffKmG//NLbb3nrVunkk6UlS9wOCwBQQiRgUS6y2mU5U6GrRVdT96TubocDhIz61epr0lWT1KJWC63cuZIkLACgzJ2RnS1t3ChFRUnHHed2OEDosIXuJk6UOnWSNm/2LtBFEhYAgkJAJGBfeeUVNWvWTLGxserZs6emT59e5HXfeustHX/88apVq5az9enTp9jro+JlZGcoo0eGs9+rcS9najSAitM4vrEmXz1ZzWo20/Idy9Xr3V5atn2Z22EBCFGM8yqZ3Fw9kOEd56lnT6lqVbcjAkJL7drSDz9IHTtKmzZ5F+maNcvtqAAAgZ6AHTVqlAYPHqzHHntMM2fOVOfOndW3b19ttWkVhZgyZYouvfRSTZ48WdOmTVPjxo112mmnacOGDRUeOwr35ow35anuUfXo6joq6Si3wwFCUpP4Jvrxmh/VOqG11uxeo+PfO15zNs9xOywAIYZxXiX02WfqkJsrxcRIxx7rdjRAaEpM9CZhu3aVtm2TTjpJ+vlnt6MCAARyAvaFF17QDTfcoIEDB6pdu3Z6/fXXFRcXp3fffbfQ63/00Ue69dZb1aVLF7Vt21Zvv/22cnNz9YP9AYLrrO3AkB+HOPsnND1BkeGRbocEhHQS9ueBP6tL/S7akrbFScJOWD7B7bAAhBDGeZWMVb4+9JB3/+ijJVsUCIA76tSRJk2STjjBuzDXqadKI0e6HRUAIBATsJmZmZoxY4YzvSwvoPBw52ereiiJffv2KSsrSwkJCYVenpGRoT179uTbUH6e/OlJbd+/XeHbw9W1QVe3wwFCXr1q9Zx2BCc2PVF7M/fqrI/P0qt/vOp2WABCAOO8Sujll6WVK7XZFgOi+hVwX3y89O23Uv/+3gMkl14qPfGEd6E8AEBAcTUBm5KSopycHNWrVy/f+fbzZmsqXgIPPPCAkpKS8g3u/T311FOKj4/P22wqG8qHLfjzv+n/c/Zjfo5ReJjrBdZASElNTVV8QvwBW9Okppp570xFLYxSjidHt319m67/4nrtz9rvdsgAKjHGeZVMSoo3sWMH3K39QHS02xEBISUtNVWJ8fEHbvXrq+6kSXrF9zv56KPShRdKu3e7HTIAwE9Qzw9/+umnNXLkSKdfmC3sUJiHHnrI6T3mY5URDM7Lx4PfP6jMnEyd2uJU/bbmN7fDAUKOTdMdNGZQkZd7PB4989QzyuqVpXdmvaOZm2bq04s+VcuElhUaJwCUBOO8APP4496ETpcuGrVihV5yOx4gBMd5KYOKHueZQc88o6E5OdKYMdK8eU7PZnXqVGExAgCK5mqJYmJioiIiIrRly5Z859vP9evXL/a2zz33nDMw/+6779SpmD8qMTExqlGjRr4NZe/Xdb/q04WfOlWvz5/2vMIU5nZIAAoICwtTzJ8xmnDFBCXGJWrW5lnq8kYXvTvrXSc5CwBliXFeJbJ4sfTqX+1rnn9eudaCAEDA+cCqYH/5RbIDUcuWSd27WzNuy966HRoAhDxXE7DR0dE66qij8i2s4Fto4Zhjjinydv/5z3/0xBNP6Ntvv1W3bt0qKFoUxRI3gyd4q0+u7XKtOtbr6HZIAIrRp0UfzbpplrNQXmpmqq774jqdN+o8bdy70e3QAFQijPMqkfvvl6yqrl8/6eST3Y4GQHF69JBmzpTOPtuacUv33CNZG5cVK9yODABCmustCGza2NVXX+0MsHv06KEXX3xRaWlpzmq55qqrrlLDhg2dHl/mmWee0aOPPqqPP/5YzZo1y+shVq1aNWdDxRu1YJR+3/C7qkZV1RMne3uDAQjsPrHGE+ZRTNcYZRyToXFLxmnc3HGKnRqrptubavH8xW6HCqASYJxXCdgq619+KUVEWHbc7WgAlKBPrMPj0dWxsXo8PV1VJ0/Wvlat9GxMjL5o1kwzrKodABBaCdgBAwZo27ZtzmDbBtldunRxKh58CzasXbvWWTHX57XXXnNW1b3QGov7eeyxx/R///d/FR5/qLNFfB74/gFn/6FeD6l+teKnFAIIvD6xW1K36MulX2qDNij95HQt27pMk1dNVu/mvV2LE0DlwDgvyFnVq1XPmVtukdq2dTsiAKXtE7tjh/TVV4pbtUqPZWToMmtN8MUX3op22okAQOgkYM3tt9/ubIWxhRf8rV69uoKiQkk8P+15rd29Vo1qNNKgY4pvCg8gMNWrVk/XHnmt/tjwhyavnqyMuhk6efjJ6ndEP/3n1P+obSJfuAEcOsZ5Qezdd6XZsyWrqHvsMbejAXAoEhKkK6+U5syRJk5U6337pP79pZNOsobb0lFHuR0hAIQEV3vAIrit3LlST/78pLP/nz7/UVxUnNshAThEtoBez0Y9dUePO6Q/rYRCTlVs8kvJir4gWtWbVHdaF/i25A7JbocMAChP27ZJD3hnOcmqjxMT3Y4IwKGyStcuXaQ77tBzktLtPDsA1q2bRkVHq3v16k7rAt/WOZlxHgCUNRKwOOSFt+745g6lZ6frlOan6JIOl7gdEoAyUDW6qvSNdFvP29Smdhvnr0RWpyztu36fWj7VUld/dLXTwmDjRhbsAoBK7cEHpZ07pc6drYzZ7WgAlIXYWD1sJ3fdJXX0Lpw8ICtLf6SlKaVJE6VcdpnTwmAD4zwAqJwtCBB8xi4eq6+Xfa3oiGi9cuYrCqN/EFCpJMYlOgdWVu9arSmrp2jN7jWatXmWZm+erfZ12yundo7bIQIAysvUqd72A+a116RIvjIAlUrNmtL550tHH+2thLW+sPPne7c2bdQ1O9vtCAGg0qECFqW2O323U/1q7j/2frVJbON2SADKSbOazXRNl2s0sMtAtU5oLY88mr91vtKuSNMpw0/RuMXjlJNLMhYAKo2MDOnGG737118vHXOM2xEBKC9JSdJll0k33SS1a+c9b8kSfWd9Yu13f8QIKTPT7SgBoFIgAYtSu+e7e7Rh7wa1Smilfxz/D7fDAVABmsQ30WUdL9ONXW9UuzrtnB6xk1ZN0rmjzlWrl1rpuV+f0879O90OEwBwuJ54Qlq4UKpbV3r6abejAVAR6teXLrpIuu02p1esk3L97TdvcrZZM+nxx6UtW9yOEgCCGglYlMrEFRP1zqx3FKYwvXvOu6oSVcXtkABUoAbVG+iidhep2rBqeuC4B5RQJcFpU3DfxPuU9EKSrvz8Sv24+kenTzQAIMjMmvV30vXVV6Xatd2OCEBFssX2+vdXl2rVpCFDvInZTZukxx6TGjWSLrxQ+vZbKYfZTwBQWiRgUWJ7Mvbohi9vcPZv73G7jm96vNshAXBJ+N5wPd3naa0btE5v9XtLnep1chbl+3Duhzrp/ZPU5uU2euaXZ7Q5dbPboQIASsKmGQ8c6E2sWCXcBRe4HREAl2wND5cefVRas0b6+GNvr1jrCzt6tHTGGVLz5tL//Z/3cgBAiZCARYnd9vVtzkI8UWlRGnbNMMUnxBe5pe5NdTtcABUgLipO13e9XrNvmq3fr/9dN3S9QdWiq2nZjmV68IcH1eiFRjpv1Hn6aulXysrJcjtcAEBRHn5YmjNHOyMi1Pabb5QYH1/klprKOA8ICdHR0qWXStOmSXPnSnfeKdWqJa1b562QtUTs6adLn34qpae7HS0ABDSWNEWJWFWbbeFh4YoaH6XBowYXe/0hfYZUWGwAKp59+baDLYUJiwpTbOtYZbXPUk5SjsYuHutsdavW1aUdLtWVna5U1wZdFRYWVuFxAwAK8d130nPPObt3Rkdr8T33FHv1GEu8AKi00lJTnYMthYnxeHRWlSq6IjNTJ1jF/IQJ3q1mTenii6Urr5SOO05inAcA+ZCAxUGt3LlSt46/1dl/7MTH9PyLz7sdEgCX5ebmatCYQQe93nPXP6cbX7nROYCzNW2r/vv7f50tOTFZV3W+Spd3vFyN4xtXSMwAgEJs3SpddZV3/5Zb9M1HH7kdEYAAGOelDDr4OK/b88/rzzvukD74QFq/XnrzTe/WooV0xRXeZGyrVhUSMwAEOloQoFj7svbpgk8u0N7MverVpJf+cfw/3A4JQBDZv3a/3rn0HaU/k64q46oockmklC0tSlmkh354SE2GNlHV26pq2Oxh2pux1+1wASC0WE9Hm15sq5u3by89z0F2ACW3YN8+Jb7yiuru3q3z4uI0IipKToOSlSulxx+XWrfW7Lg46bXXpB073A4XAFxFBSyKZKuYX/fFdZq9ebbqxNXRx+d/rMhwPjIADq9S1hbrWrhtoeZumev0ld5Xd58GjhvoVNr3b9tfl7S/RKe3Ol0xkTGuxQ0AIeG++6RJk6SqVaVRo6QqVdyOCECwV8ragn5Llnh7xq5YoS7790u33irddZd05pnegz5nn+39fwcAQggVsCjSc78+p5HzRzpJ188u/oxpwgDKRGxkrNMD9pou1+iunncp5tcYtU1sq/3Z+53/c84dda7qPVdP1467VhNXTFR2brbbIQNA5TN8uPTii3/vWwUsAJTFwl0dO0qXXy4NGqRHYmKkLl2krCxp3DjpkkukevWkyy6TvvhCyshwO2IAqBAkYFGoTxZ8oge+f8DZ/+/p/9UJTU9wOyQAlVDN2JqK+SNGC29dqD9u+EODjx6shtUbanfGbr03+z2d9uFpSno+SbeNv02/rP1FuZ5ct0MGgOD3ww/SDTd49x95RDr/fLcjAlAZVa+u1ywBO2uWNG+e9I9/ePvDpqVJI0ZI/ftL9etL110nff+9ty0KAFRSJGBxgO9Xfq8rxlwhjzy6pdstzgYA5SksLEzdkrrp+b7Pa+2gtfrxmh+d/3sS4xK1bd82vfrnqzr+vePV7MVmuu+7+zRj4wynTQoAoJRmzJDOPdc7TfiCC6T/+z+3IwIQCjp0kJ58Ulq+XPr9d6c6VklJ0q5d0rvvSqeeKjVsKNmiXlOnWn8DtyMGgDJFQ0/k89v633TuyHOVlZuli9tfrJfOeMlJjABAeUlNTVV8Qnyhl3nCPYprFKf0VunKPSJX6/as03PTnnO28J3hilwWqajlUQrfFq6GSQ21aP6iCo8fAILGwoXSGWfYf7zSySdLH30khVOPAaD8pKWmKjG+8HFeuMejo+Pi1D89Xed6PKq9dav08svOti4sTOOiovRlZKRmRkQoqWFDzVnEOA9A8CIBizyTV01WvxH9lJaVpj4t+mj4ucMVER7hdlgAQnChroKG9Bmih797WMt2LNP8rfO1dPtSZdfKVmaPTGerFVtLK6eu1O/rf1f3ht0VHkZCAQDymTlT6ttXSkmRunaVxo6VbGowAFT0Ql0FxAwZouv++U9p5UppwQJp0SI1zszU7X9t1srgTbvsxx+lXr2kCL6jAgg+JGDhGL90vC789EJndXJLvo4dMJYVyAEEFFsQMDkx2dkysjOcJOzClIVavmO5dqbvlI6Sjn7naDWq0Ujntz1fF7S7QMc1Po4DSQDw66/e1cd375a6dZO+/dZJaABAwLCkauvW3u2ss7ytCqxqf+lSae9e3WjXOekkqW5dbxsVa6HSu7cUFeV25ABQIiRgQ5z1UHxp+ksaNGGQs7hNvyP66ZOLPnFWKQeAQGUHiDrW6+hsmTmZThL2888/V2zHWK3fs17/m/4/Z6tbta7Oa3uezmlzjno3660qUVXcDh0AKtbHH0vXXutdadwqx776SipiOjAABARLqiYnezdbmGvFCo0YPVqXVqsmWZuCN9/0brVqSeec413Mq08fDiwBCGjM0QxhVkF281c3665v73KSr9d0uUajLx5N8hVAUImOiFa7Ou2U+1muwl4IU5UvqihqYZSULm1N26o3Zryhsz4+S3FD4hR1TZTq96+vNbvWuB02AJSvnBzp4Yelyy/3Jl/79fNWvpJ8BRBMIiOlNm10bU6O6mdn68K4OL0fFaVttk7Jzp3S++9L55+vzBo1NCUyUv+pV89bNctirQACDBWwIWpJyhJdMvoSzd48W2EK07OnPqvBxwxmwS0AQd1jbPCng/N+zsnN0apdq7Q4ZbHTO3aP9ii7eba2NN+iZv9tppa1WjpVsb2b93ZOG1Rv4Gr8AFBm1q+XrrjC2y/RPPigd/VxFtwCEMTjvM2D/x7nKTdXWrvW6RerZcsUvXOnTsrJ0UlWIdumjdS4sbdFgW9r2tTN8AGABGyosUrXt2a8pcHfDda+rH1KjEt0Fts6o/UZbocGAGXKer+2SmjlbNZuxaphLRE75Zcp8jTyaMXOFc729qy3neu3TmjtLODVPam7uiV1U5f6XVQtuprbTwMASs4qvj75RLr1VmnHDsmm677xhnTZZW5HBgBlyw4oNWvm3U4/Xdq+3UnE/vjDDzrRLlu3Tho+3LsZu16PHt4+2LbZYoTMCABQgUjAhhBbsObGL2/Uj2u81RCnND9Fw88brqTqSc7PyR2StXHjxoPeT+re1HKPFQDKklX316tWz9kmD5usqglVlZ2UrZxGOcpulK3curlOcta2j+d97NwmPCzcScom10lW29pt1TbRu7VMaKnaVWozYwBA4FW9WuL1yy+9P1uCYcQIqVWrvKt0Tk7WhoOM9VJTGecBCDI2JktMdLbTv/9edWJj1T0qSr2ys9UrJ0dH5uQocvVqyTY7SOXTsqW3z2zbtn9v9n+mLfTFOA9AGSMBGwJ27t+pVte10o6WO7zveJYU82uMpv93upLvTs6XWH1k4iMHvb8hfYaUc8QAUM6tCkb6TWGTtD9rvzbs3aCNezc629LVS5VbPVdLti9xtoLiouLUJL6JmsY3dU7995vWbKqG1RsqKoJVeQFUgLQ0vdqsma5KSZHV7GdKGhoToxeXLFHWUUcdkFxNf6T4sV7MEMZ5AIJ7nLfWv1WBsT7YGzZIdgBq0yatWbRITW3GwIoV3s0WJ/QXG+ttYWBtC5o0OfC0USMpJqZCnxeA4EcCthKzlcFf++M1Pf7T49rRZodznvU8PKv1WarVp9YB1yexCiBUVYmqkteuwDwx+AlVrVtVubVzlVsrVzkJOc5pbkKuPNU8TgsX6y1rW2Gst7bNLtixaoeytmcpfG+4s4XtDfPu7wl3siR2PZOUlKRF8xdV6HMGUAkW2bKptf/8p25NSfGe16iRovv10wN16+qBQm5CchVASLJkaYsW3k1S2yeeUJOqVZWcm6vWublqZac5Oc5+Q49H4enpTjsDZytK/fqau2uXVmZna0N4uNaHhWm9nf61v9MqaP+qom2YlKQ51qsWQEgjAVtJ+7yOXjha/5j0Dy3fsdw5L3x7uC458RInucC0WQA4ePXEPR/eU+hl2bnZ2pOxRy/f+bJi6sXIU93jVMva5tv3RHqcilolyrsVIjoiWjVjayohNkErJ6zUmzPezEsCN6rRyGmBAAAHsKqtCRO8C2vNmeOctSYsTE3PP19q355pswBQgnHeknvuKfrg1p49OvWll9Q6JkaNPB41tsRsbq4aezzOaZxdb/NmdZKcrVBRUd4eswkJem3lSum117ztDWyzKtqIiPJ7ggACEgnYSiQrJ0sj5o/QU788lVeVVbdqXT3R+wnde9q9an1+a7dDBICgFxkeqYQqCfKs8uiBtw6sMbMFv9Ky0rQ7fbfe/sfbOu2B07Q7Y7d3S/eeWgWtzVKwhcFsUzfppq9uyruPmIgYp9esk5Ct1crpPfuvwf/SziU7FZZZdHKFSlqgErMVv8eOlf79b2nGDO959uX+n//UsY8/rg0dOrgdIQAEP0uM1qqlnzweTXzggcIPgu3fL+3erYvefFOf9u3r7FvSVrt2effT0qSsLMlmJ6Sk6Ba7nfXo9k/OWjWuLyHbpo0GPv20pu7YoR22gFgRqKQFghsJ2EqgTac2WltrrTKOypAn3uM9M12KnhOt/TP2675/36e0vWluhwkAIcFmGVSLruZsWiwd0/iYQg+YWSLWenTvSN+hSZ9OUp+L+2jZ9mVatWuVMnIytHDbQmfLc7J3qx5dXXWq1lGduDrOad24us5pbGSshp4/tGKfLIByd1TbtuqxZo3uzsxUG0vCWttXScOjozU0J0c7nnhCqfZlHwBQ/myWQVycs31hPx999IHXyc72JmR37pR27NBr33+vWyxRu3y5t+dsZqa0ZIl3+8t7vp2qVaU6df7ebEEwO42LU+JQxnlAMCMBG8Tsi/obM97QsjOXyVPFm3itGlVVRzc6Wt2Tuium79+NwenvCgCBwxboSoxLdDbz60+/avzY8XktDtbuXuv8H29tZJbtWKZFKYs0cfZEp8XB3sy9zrZy58p892mJ2X399+m+7+5Tp3qd1LFeRyUnJismkkUigKC0bp301lsav3Sp6lvFla+PYY8eqnr00bolLs5bVUVvVwAILJGRTusBZ2vZUo/88otu+eKLv1scrF/vTcb6+swuXqy133yjJvZ/vR1Qs2316vz3WbWqRltv2kGDpI4dpU6dpHbtvMlgAEGBBGyQycjO0FdLv9LrM17X9yu/955ZRYqPiXeqrLrW78rK2wAQZGxl8viE+GKvYwt43f/N/dqWtk3b9m3LO7UWBr6krJpJz0177u8b5UrhO8MVnhKuiO0RzmmDiAZa/vty+oEDgciqpiZOlF5/3bsqd26u6vsqoqzKqnt3Vt4GgCCTlpqqRGsZU4zUsDClW2/vbdvyb1u35rU1ONGu+OKLebexORGrwsO1IDxciyIitDA8XNsbNNBXltQtppUBAHeQgA0C1ivw2+XfavSi0U7y1RZ/MbZ69hmtz9Dk5yfrzufuZMEWAAjixSAGjRlU7HVsJoO1GWgc39jZ/KVnpzsJ2Xf/9a6639jdScpuSdvinJ9bO9fZspXtXHelVir+6Xh1qNvB6THbrGYzNa/ZXM1rNVfT+KZO7/Cq0VXL9fkC8JORIf3wgzRmjDRunLdnoE/v3rrut9/0jlU8sWALAATtOC/F/h8vhjOTITpaatjQu/mzlgXbtunGt9/Wmz17epOyW7YofN8+tczNdbZz7ACesQW/qlf3LsrYurXUrJnUvLl3a9pUqldPqlaNBRsBF5CADUC2gIstojVl9RRNXDnRSb7uz96fd3mDag10TZdrdONRNzpfnONvjyf5CgAhzJeY1SzpzNZn5v0tsarYLalb8hb7sqTslj1bnPOnrZ/mbIWpElklr89s7bjaTnsbS8o6p1FVnf629vML/3lBu1N2KywrzLs4WJa8+1l/7yfVSdLi+d6FIQH8tYDLqlXSlCnS999L48d7ewX61K4tXXmldNNNUtu2Ghcfr3dIvgJA6PorMfu+pDdPP/3v81NTnUSsk5D9Kym7f9MmVdm3T/rjD+9WGJtJ4esxa39zLCFrMy18218/PzV0qDbs3q20sDDvZtW8f+3v+2u/ZlKSZi9mnAcETQL2lVde0bPPPqvNmzerc+fOeumll9SjR48ir//pp5/qkUce0erVq9W6dWs988wzOvNM7xfOYGJfjnem73T6+M3ZPEezN8/WnC1zNHfLXGdxFn+WaD2/7fm6oN0FTo9XEq4AgOJYi4EaMTWcrXXt1nnnv3DhC5q2cJoWbFugVTtXOYt+2bZ612qn96xVzdpBP9u3rVhdDx7HEi1xKm59i4Y5p/77hZzG/X979x4cZXU+cPwJIRcQcpEQQjSCAiJyi8JIiRdQsGixP2C8VGQa2mGoCmrAQoVUiJRR+EMZaGm1lAFaNIIXoIxSaEoFq0HlIhIZLxg1BCSCGG7BJMCe3zwn7LqbbK7svrsJ349z3N33ffd9z3s4k3327LlEMZ9ZS3Kxxnm2oVWHjWpj6549Ih999GM6etT32M6dRcaMEbn7bpFbbqmaPxAAgLpoQ6mmbt08m7osWCCHteH144+resPqXLL6OaSPRUUi2jirIy90HlpNdZjZkDzoQmLa49Z74bD6kjby0gMXF6GQR3erV6+Wxx9/XF544QUZNGiQLFy4UEaMGCGfffaZJOuKf9Xk5+fL2LFjZd68eXLXXXdJbm6ujB49Wnbt2iV9+vSRUCs6VmR7GWkD6rHyY3K8/LjPc13t+puT30jx8WI5cOKAT89WbzGRMZKRliEFbxTID3t+kKNHjsrS8/9Vd+rkKQfuDADQEkS4IqR3cm+b/P0weKrylKTfki4lJ0rEtDViYoxIlIiJOv/Y2oiJNjaCOBNxRrpndJfKc5VS6aqsevRKbjp1jqbC0sIG5VEbYL0bZXVaBO/X8bHxtmFZ5z/3fq49gZnbNry0tDhPDh4UKSkROXasqnHV/eh+ritef/NN1ZdaXURLF1LxJyrKLqa15NNPZe0PP8iOU6fEvPiiiCY/c0QDANAQLo2DevasSv7o59KRI/LA0KHiOnxYEo0RnXiqrTHS9vzjJeefR585I3d37141BYK/5KafU5q0obchYmN/bIzVWKB6A21CgkhcnIjOm+t+1NSmDQ23aNZC3gC7YMECmThxovz617+2rzVAf/PNN2XZsmUyQyehrmbRokVyxx13yPTp0+3ruXPnSl5enixevNi+N9QeWPOA5BfnN+o9+sWyb3Jf6d+pv/RP6W8fe3XsJdGR0RI/NV6mrZlW77yAAAAEasEv/WFvVt6ses+lnz/jHhrnd5825p5xnZH598yXtpe2FdPG1EiuNq6qxxiXaPSvzzUy0bnPi44X2dQYUa2i7Nzo/7z/n416H4KnpcV58uijImvXNu49OrxTG4/79/8x6dx8sbGSHR8v352/1zrnBQQAIEALfrnjwfJZs+r9/KkYN672UR5nz8oV8+ZJ57Zt5VJjJMkY6XA+uZ9f6nLZ1FE/Ds837Ep5edWPlJoaQ0eH6GKU+Y1rbwHCRUgbYCsrK2Xnzp0yc+aPndtbtWolw4cPl23b/M9Lp9u1J4U37Umxbt06v8dXVFTY5HZceyhobxzvubYCKDkyWeQ7kaROSRIbGWt7ssa0/jFp75x2Ue2kfUx7WT9jvXy5+0u7rbrysnLR//QLbEXZj/n3y4hzxzh9PfJEnsLxGPJEnppxnlznXDJp5aQ6j5n/f/MDlm9zwsijLz5a7/VmrJ9hP/O05+zps6dtI+zpyvOPZ0/L1te2Suu41mJiq3rgupNEaxeNqvOckTOyeeNmOfGz4HzGu2MHzScuzjhPG1O/EZFUbVTVHjw6j577Uefo0+c6HLR9e7l1/Xp5q7BQpK2fKTXO9x5yGSMnvPLvj9a2QBwTyHO15Dw113yTJ/Lk9DHkKTzzdM7lki8n1R3nqaT58wNyvRJj5GP9cbKea303Y4ZdDvaEfv5pL9wffqiaDsGdyspk1fbt0jEyUtob40ntRKS9iNiZ0M+elYJdu6RvkD7jifMQdCaEDh48qDXb5Ofn+2yfPn26ueGGG/y+JyoqyuTm5vps+/Of/2ySk5P9Hp+Tk2OvQSKRSCQSiRSIVFxcHMBoqOUiziORSCQSidTcEnEegiXkUxAEm/a68O5J4XK55Pvvv5cOHTqExTxx+itLWlqaFBcXS5zOb4KgoJydQTk7h7J2BuXsnOZQ1toj4uTJk5KamhrqrOA84jwoytkZlLNzKGtnUM7OaQ5lTZyHYAtpA2xSUpJERkbKt99+67NdX6ekpPh9j25vzPExMTE2eUvQSZ3DjP4RCtc/RC0J5ewMytk5lLUzKGfnhHtZxzdgXjVUIc5rPvW6paCcnUE5O4eydgbl7JxwL2viPARTKwmh6OhoGTBggGzevNmn54K+Hjx4sN/36Hbv45UuzlDb8QAAAHAecR4AAABQJeRTEOiwsfHjx8vAgQPlhhtukIULF0pZWZlntdzMzEy57LLLZN68efZ1VlaWDBkyRJ577jkZOXKkrFq1Snbs2CFLliwJ8Z0AAADAG3EeAAAAEAYNsL/4xS/kyJEjMnv2bCkpKZH09HTZuHGjdOrUye7fv3+/XTHXLSMjQ3Jzc+XJJ5+U7Oxs6dGjh10Zt0+fPtIc6bC5nJycGsPnEFiUszMoZ+dQ1s6gnJ1DWbdMxHnUaydQzs6gnJ1DWTuDcnYOZQ2IROhKXKHOBAAAAAAAAAC0RCGdAxYAAAAAAAAAWjIaYAEAAAAAAAAgSGiABQAAAAAAAIAgoQEWAAAAAAAAAIKEBtggev7556Vfv34SFxdn0+DBg+V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H/wPKxiCbzy3S6QAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_t = numeric_train[nan_columns[7]]\n",
    "\n",
    "test_density_fillna(x_t, [\n",
    "    lambda: 0,\n",
    "    lambda: x_t.mean(),\n",
    "    lambda: x_t.median()\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule[nan_columns[7]] = x_t.median()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_t = numeric_train[nan_columns[8]]\n",
    "\n",
    "test_density_fillna(x_t, [\n",
    "    lambda: 0,\n",
    "    lambda: x_t.mean(),\n",
    "    lambda: x_t.median()\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule[nan_columns[8]] = x_t.median()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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HZDgzzLqqiQAsAABANErtyFztVwBWEYAFAEQ5ArAAYoLP65P31r5nJuFKS0qTSYWT+pQBW9tWK41tjWFuJQAAAPrC0doqrtpac7lt0KD+7YQALAAgyhGABRAT6rfVy91L7zaX8xx5UlXeu4zWZEeyWVR5fXlY2wgAAIC+cW3cKA6fTyQtTTyZ/hPnfUYAFgAQ5QjAAogZO1N2mvXI3JG9fozD4ZCs5CxzuayuLGxtAwAAQN+lrFvnv1BQ4K/nui8B2I5asgAARBsCsABiRnV7tVkPSx/Wp8dlufwB2PI6MmABAACigdfrleLiYmlevnxXALa/yIAFAEQ5ArAAYkKDp0EaPY3iEIcUphf2KwBLBiwAAEB0KCkpkbK5c8X5+uvhCcD6fDLss89k4KpV+9hSAAD2nSsE+wCAsKt2+7Nfi7KLJMWZ0qfHEoAFAACIPsNzcmRAQ0N4ArAVFTJm2TJzsSY7WzqeBQAAW5ABCyCmArB9qf9q6awBW08AFgAAIGq43ZJeX++/PHhw//dTVORfb98ujtZW/+WVKzvvHvDGG5L85Zf71FQAAPYFAVgAMRWAHZU7qs+PpQYsAABA9EnesUMcPp94UlJEsvz9tX7JyxNJSzMXXRs3msCufPGFud6akyNOj0cGX3GFSG1tqJoOAECfEIAFEPXcXrfUevwd5mHZfZuAS1GCAAAAIPqkbN9u1i0aQHU4+r8jfewpp5iL+bffLhnFxSLNzdKakSHrzzhD3NnZkrx5s8g//hGqpgMA0CcEYAFEve1t28UnPkl1pEpWSla/A7DVjdXS5mkLQwsBAADQV8mBAVgR8fp8UlZWZhafz7fXx1vbFxcXS9k114gvOVky3nxTBrz9trl/y9ix4klLk8Zx4/wPWLMmnC8HAIAeMQkXgKi3rXWbWecn54ujH9kR6UnpZuKuNm+bVNRXyOi80WFoJQAAAPoieZu/j9faEYCtqK+X+gULzIRZOdnZIvn5e3y8tb0MGybFdXWSdemlknfvveLqqCu7Zdw4SdbRVB37lw0bwv2SAAAIigxYALETgHXtuRPeEw3aFmYUmsvUgQUAAIjCEgQdhmVnS5EGX3tJtx+dlyfDc3Kk9qqrxD2so1zV0KHS3LHf9txc/23r14e0/QAA9BYBWABRr6atxqzzXLs65301JGOIWVMHFgAia+HChTJ69GhJS0uTKVOmyNKlS/e4/fz58+XAAw+U9PR0GTFihFxzzTXS0tISsfYCiJDWVnHt3Gkutuwl07W3fOnpUnPHHdI2cKDISSd13t6ZAasTdHm9IXkuAAD6ggAsgJgqQdBfRZlFuwVgvT6vvL7xdfl85+chaCUAoLunnnpKZs2aJTfddJOsWLFCJkyYINOnT5ctW7YE3f6JJ56Q6667zmy/atUq+etf/2r2cf3110e87QDCK3nTJnH4fOJOSRF3enrI9tvyla9Ixf/9n8j++3feppNw+VwuE/SVioqQPRcAAL1FABZAVKtrq5MGd8M+lSBQVgmCwADs5sbN8l7pe7KoepE8+MWDIWgtACDQXXfdJZdeeqnMnDlTxo8fL/fff79kZGTIQw89FHT7999/X4499lj5/ve/b7JmTz31VDnvvPP2mjULIPa4SkvNujknR+tFhffJnE5xDx/uv0wZAgCADQjAAohqa3b4Z6vNdGaaibT6qzCzowZs/a4asOvrd3XAb1t2myxcunCf2goA2KWtrU2WL18u06ZN67zN6XSa60uWLAn6mGOOOcY8xgq4bty4UV5++WU5/fTTg27f2toqdXV1XRYAscHVkYnampkZkedzjxzpv8BEXAAAGxCABRDV1u5ca9b5SftWG6x7Bmy7t102NPg74GMyx5j1Vf+9Sj6u/HgfWwwAUDU1NeLxeGTIEH8Nboter6qqCvoYzXydO3euHHfccZKcnCxjx46Vk046qccSBPPmzZPc3NzORWvGAogNkQ7AtlsBWDJgAQA2IAALIKqt3rHarPOS+j8BV7AA7PuV70urt1UykjPkzGFnyrFFx5rbtSQBAMAeixcvlttuu03uvfdeUzP22WeflZdeekluueWWoNvPnj1bamtrO5fSjiHNAKJfUmVlZDNgR4/2XyADFgBgA5cdTwoAkc6ALcrwT8JVUV8hbZ42+e/m/5rrBw86WJwOpxwy4BB5r/I9WbdtXQhaDQAYNGiQJCUlSXV1dZfb9Xphof+kWHc33nijnH/++XLJJZeY64cddpg0NjbKZZddJr/+9a9NCYNAqampZgEQwxmwWVkReT4yYAEAdiIDFkDU8vl8IQvAFqQXyMD0geLxeeScZ86R/5X8z9w+vmC8WY/O8WdFrNtOABYAQiElJUUmT54sixYt6rzN6/Wa61OnTg36mKampt2CrBrEtb4TAMSPiNeADcyA5d8TAECEEYAFELUqGyplZ+tOcYhDcpNy92lfSc4kefxbj0tqUqo8v+Z52dG6Q9KT0mV0nr8zPibHXweWACwAhM6sWbPkwQcflEcffVRWrVoll19+uclonTlzprn/ggsuMGUELDNmzJD77rtPnnzySdm0aZO89tprJitWb7cCsQDigNstSR3Z8RELwFo1onWyvm3bIvKcAABETQB24cKFMnr0aElLS5MpU6Z0znrbk/nz58uBBx4o6enpZqKFa665RlpaWiLWXgCR8/mWz806LyVPXI59r5gyfdx0+c/3/yPprnRzfWzWWFN+QI3O9gdiN+3YJO2e9n1+LgCAyLnnnit33HGHzJkzRyZOnCgrV66UV155pXNirpKSEqnsqAOpbrjhBvn5z39u1uPHj5eLL75Ypk+fLn/+859tfBUAQq6iQhxer/icTmlP9/fLws2XliYyfLj/CmUIAACJVAP2qaeeMpkR999/vwm+anBVO9lr1qyRwYMH77b9E088Idddd5089NBDcswxx8jatWvloosuEofDIXfddZctrwFA+GzcsdGs85L3bQKuQNP2myavnf+a3PHWHZLn8+/X5/VJ+/Z2E5htdjfLpp2b5ICBB4TsOQEgkV111VVm6WnSrUAul0tuuukmswCIYx0T5rm1/qvDEbnnHTtWpKzMX4bgK1+J3PMCABKerRmwGjS99NJLzTA0zXLQQGxGRoYJsAbz/vvvy7HHHivf//73TdbsqaeeKuedd95es2YBxKbNOzebdU5yTkj3e+zIY+Xu4++W3BR/WYP6bfXyx3f+KOk+fwYGE3EBAACEUUmJWXmysyP7vOPG+ddkwAIAEiUA29bWJsuXL5dp06btaozTaa4vWbIk6GM061UfYwVcN27cKC+//LKcfvrpPT5Pa2ur1NXVdVkAxIbNtf4AbHZy1865ZqyWlZWZJVSTsmQPypYB6QPM5bXb/BN/AQAAIHwBWHekA7CaAas0AxYAgEQoQVBTUyMej6ezBphFr69evTroYzTzVR933HHHmaCL2+2WH//4x3L99df3+Dzz5s2Tm2++OeTtBxC5AKzJgPXsul0zVhcULxBpE8kemi35Rfkheb78FP9+mIgLAAAgAiUIIhSA9fp8UlFWJhnZ2aKF7nzr10sECx8AAGD/JFx9oXXCbrvtNrn33ntlxYoV8uyzz8pLL70kt9xyS4+P0Zl1a2trO5fSji97ALFTgiDblR00YzV7YGg77TrZlyIACwAAED8ZsBX19VK/YIG4333XXG/duFGKi4vF6/VG5PkBALAtA3bQoEGSlJQk1dXVXW7X64WFhUEfc+ONN8r5558vl1xyibl+2GGHSWNjo1x22WXy61//2pQw6C41NdUsAGJLm6dNKuorOksQeAJTYMPEmuyLEgQAAADxVQN2WHa2DM3xzyuQsnWrlOkoyZtuMnOLAAAQtxmwKSkpMnnyZFm0aFHnbXoGUq9PnTo16GOampp2C7JqEFeFqg4kgOhQVlcmPvFJijNFMpIyIvKcVgZsaW2ptLhbIvKcAAAACVuCICsrss/b8XxOr1dGkqQDAEiUEgSzZs2SBx98UB599FFZtWqVXH755SajdebMmeb+Cy64wJQQsMyYMUPuu+8+efLJJ2XTpk3y2muvmaxYvd0KxAKIr/IDQ7OGisMRmSpd6UnpJttWA78btjM5AwAAQMg1NIhs327PJFwul7hTUszFpKamyD43ACCh2VaCQJ177rmydetWmTNnjlRVVcnEiRPllVde6ZyYq6SkpEvG6w033GACMbouLy+XgoICE3y99dZbbXwVAMI5AdewzGGRe1KfyLC0YbK6fbW8t/o9OXjQwUFLmwAAAGDfsl+92dni0yzU1taIPn1berq42tokqbFR2iP6zACARNavAOzGjRtlv/32C0kDrrrqKrP0NOlWIJfLJTfddJNZAMS3klp/bbBhWZELwNZvq5fGhkZz+cEPHpRTR55KXTAACSeU/TwA6LH8wNChtjy9BmAzamvJgAUARFS/UrvGjRsnJ598svz973+XlhbqJAIIXwmCiGbAisjAzIFm3ZzSHNHnBYBoQT8PQCQm4LIrANuenm7WmgELAEBUB2BXrFghhx9+uKnhWlhYKD/60Y9k6dKloW8dgISiE/EVFxebpbMEQQQzYFVOkn923Nr22og+LwBEC/p5ACKRAespKrItA1aRAQsAiPoArNZqXbBggVRUVMhDDz0klZWVctxxx8mhhx4qd911l6nrCgB9pXWf57441ywbajbYkgGbkZRh1o1usiIAJCb6eQDCebK9/ssvzeVtmZni8/ki3gYCsAAAO+zT7DJak/Vb3/qWPPPMM/L73/9e1q9fL9dee62MGDFCLrjgAtNhB4C+yCnIkexB2VLRWGGuD88aHtHnT0/yd8oJwAJIdPTzAITjZLv7/ffN5S0ffyz19fURbwMlCAAAMReAXbZsmVxxxRVSVFRkMiK0U75hwwZ57bXXTNbEN7/5zdC1FEDCaPI0SZu3TZwOpwzJGBLR585w+jNg9flb3NQ+BJC46OcBCIfM1lazzhgwwJbnb8vw9/XIgAUARJKrPw/STvjDDz8sa9askdNPP10ee+wxs3Y6/fHcMWPGyCOPPMLs4QD6pa69zqyHZQ+TZGdyRJ872ZEsLqdL3F63bGneIgfJQRF9fgCwG/08AOFkZZ5qKYB+/RgNVQYsAVgAQAT16zvvvvvukx/+8Idy0UUXmayIYAYPHix//etf97V9ABJQfbt/ONqovFERf26HwyHZKdmyo2WHCcACQKKhnwcgbNraJKmlpTMT1Y4ArFUD1tncLOLx2NACAEAi6td3ng49GzlyZGcmhEWLqJeWlpr7UlJS5MILLwxVOwEkYAbsqNzIB2BVVkqWPwDbRAAWQOKhnwcgXJKsSfycTnGnptrShvbUVPE5HOLw+SRp+3aRsWNtaQcAILH0qwbs2LFjpaamZrfbt2/fboalAcC+qHfX2xqA1QxYRQYsgEREPw9AuCRt6ehbZWfrsCN7GqHB37S0rgFhAACiMQCrGRDBNDQ0SFrHlxkA7GsJgpG5I215/qzULLPe2kynHEDioZ8HIFxcVsAzy9/XsovbqgNLABYAEI0lCGbNmtVZI3HOnDmS0TGDpPJ4PPLhhx/KxIkTQ99KAAmlwd1g1iNyR9hWgkBRggBAIqGfByCiGbA20om4NARLABYAEJUB2I8//rgzM+Kzzz4z9b8sennChAly7bXXhr6VABIyADsse5iIf54GW0oQVDdXR/7JAcAm9PMAhFtSdUffigxYAECC6VMA9s033zTrmTNnyoIFCyQnJydc7QKQoDw+jzR7ms3lodlDpbGl0bYM2PK6cikuLjaXg01IAwDxhH4egHDxer1SUlIiaZs2+W8gAAsASDD9iiY8/PDDdMoBhEWTu8msk53JMjBjoC1tsDJgyxrKZP4H82Xui3PNjwYASAT08wCEmvajyubOFd/y5VFTgkARgAUARF0G7Le+9S155JFHTIdcL+/Js88+G4q2AUjg8gMF6QXidNiTcWplwLZJm2QPtvcHAgBEAv08AOE2PCdHstvaoiIASwYsACBqA7C5ublmUgbrMgCEQ6PbX3KgMKPQtjZkJGeIQxziE580tPkDwgAQz+jnAYiElObmXSUI2ttta4e7Y5JBArAAgKgLwOpwtGCXASAcAdjBGYNta4MGIdKd6dLkbTIB2EzJtK0tABAJ9PMAhJ3XK8ktLbsyYLdvt60pZMACACKtX+N7m5ubpanJX6dRbd68WebPny//+9//Qtk2AAlcgmBI+hBb25Hh8GdG1LfV29oOAIg0+nkAwiGpqUkcPp/4NNu+IwPV7hqwzvp6/UfP1rYAABJDvwKw3/zmN+Wxxx4zl3fu3ClHH3203Hnnneb2++67L9RtBJCAGbBDMuwNwGoGrKIEAYBEQz8PQDgkNfr7eO60NBGnPXX+Ld7kZPEmJfmvVFfb2hYAQGLo1zffihUr5PjjjzeX//nPf0phYaHJjtDO+h//+MdQtxFAImbA2hyAzXCSAQsgMdHPAxDOAGy7zdmvhsMhXqsdlZV2twYAkAD6FYDVYWnZHTNX6nA0nS3X6XTKV77yFdNBB4D+IgMWAOxFPw9AuEoQBE6AZTeP1Q7qwAIAojUAO27cOHnuueektLRUXn31VTn11FPN7Vu2bJGcnJxQtxFAAom2GrANrQRgASQW+nkAwpoB21F/1W6ejnbUrFolxcXF4vV67W4SACCO9SsAO2fOHLn22mtl9OjRMmXKFJk6dWpnlsSkSZNC3UYACaKpvUnavG1RlQFLCQIAiYZ+HoBwcDU0RFUGbL3LZdZJL7wgZXPnSklJid1NAgDEMf+3Th995zvfkeOOO04qKytlwoQJnbefcsopcvbZZ4eyfQASyJbmLWad7EiWrOSsqKgBSwkCAImGfh6AcJYgiJYM2HadDExE8r1eGU52PwAgGgOwSidk0CWQzpILAP1V3eSfhTbTlSkOhyNqArBeH0PSACQW+nkAwlWCIFoyYK0ArHQEhgEAiLoAbGNjo/zud7+TRYsWmXpg3evlbNy4MVTtA5CgAVi7pTn8nXKf+KTZ02x3cwAgYujnAUiEGrCdAdiOdgEAEHUB2EsuuUTeeustOf/886WoqMj2TDUA8aG62R+AzXLZW35AOR1OSXOmSYu3RZrcZEYASBz08wCEnNfbWYKADFgAQCLqVwD2v//9r7z00kty7LHHhr5FABJWNGXAqs4ArIeOOYDEQT8PQKg5d+wQh9crPjJgAQAJytmfB+Xn58uAAQNC3xoACW1L05aoCsCmO/0/EChBACCRhLqft3DhQhk9erSkpaXJlClTZOnSpXvcfufOnXLllVea7NvU1FQ54IAD5OWXXw5ZewBEXlJ19a6gp7NfP0HDmwHr09AwAADh069vv1tuuUXmzJkjTQzXABBCVU1VUVOCwMqAVZQgAJBIQtnPe+qpp2TWrFly0003yYoVK2TChAkyffp0U1s2mLa2Nvna174mxcXF8s9//lPWrFkjDz74oAwbNmyf2wLAPq6tW806WrJfuwRg3W5xtLfb3RwAQJzrVwmCO++8UzZs2CBDhgwxGQ3Jycld7tcONgD01Zbm6MqAtQKwZMACSCSh7Ofdddddcumll8rMmTPN9fvvv9+UN3jooYfkuuuu2217vX379u3y/vvvdz6vtgFAbEvqOOnSGiX1X5XX5RJvUpI4PR5Jam4Wt90NAgDEtX4FYM8666zQtwRAQvP5fJ01YKMlA9YqQUANWACJJFT9PM1mXb58ucyePbvzNqfTKdOmTZMlS5YEfcwLL7wgU6dONSUInn/+eSkoKJDvf//78qtf/UqSkpJ22761tdUslrq6upC0HUB4ArDtURSAFYdD3GlpktLYKM5mTrYDAKIwAKvDyAAglGpba6XF0xJVGbDpSR01YN10ygEkjlD182pqasTj8ZhM2kB6ffXq1UEfs3HjRnnjjTfkBz/4gan7un79erniiiukvb09aLvmzZsnN998c0jaCyD8Adi2KCpBoKwAbBKl9QAAYdbvCug6QcJf/vIXk9WgQ8WsIWnl5eWhbB+ABFFe5/+3I9WZKi5nv84Nha8GLBmwABKMXf08r9crgwcPlgceeEAmT54s5557rvz61782pQuC0fbV1tZ2LqWlpWFtH4D4C8AqLUEAAEA49SvK8emnn5rhY7m5uWaSBK3tpbPlPvvss1JSUiKPPfZY6FsKIK5V1Fd0lh/weX1SVlZmrutayxPYgRqwABJRqPp5gwYNMmUDqjtmP7fo9cLCwqCPKSoqMrVfA8sNHHzwwVJVVWVKGqSkpHTZPjU11SwAYiQAG00lCETE0xGApQQBACAqM2B1NtuLLrpI1q1bJ2nW7JEicvrpp8vbb7/dp30tXLjQTK6g+5kyZYosXbp0rxkZWhdMO+ja4T7ggAPMEDUA8RGA1fID9dvqZcHbC2T+B/NlwesLpL6+3t4asG4yYAEkjlD18zRYqlmsixYt6pLhqte1zmswxx57rCk7oNtZ1q5da/p93YOvAGJHtAZgyYAFAER1APajjz6SH/3oR7vdPmzYMJOh0FtPPfWU6eRrTS8d1jZhwgSZPn26bOn4gu5OMx++9rWvmWyMf/7zn7JmzRp58MEHzfMCiG3l9eVd6r9mD8qWvMI8yR6YbVubrAxYt88tTe0EYQEkhlD185T287Sv9uijj8qqVavk8ssvl8bGRpk5c6a5/4ILLugySZferyUPfvazn5nA60svvSS33XabOfkOIEb5fOKiBAEAIMH1qwSBZp4Gm2VWO8o6W21v3XXXXWZYm9UJ1/pe2tF+6KGH5Lrrrttte71dO+Xvv/++GZ6mNHsWQHyVIIgWLofL1KN1e92yrWWb3c0BgIgIVT9PaQ3XrVu3ypw5c0zwduLEifLKK690TsylJQ2czl35ACNGjJBXX31VrrnmGjn88MNN0FeDsb/61a9C8MoA2GLnTnG0tXUGYFOjMABLCQIAQFRmwH7jG9+QuXPnmhlplcPhMB1o7Rx/+9vf7tU+NJt1+fLlpsZYZ2OcTnN9yZIlQR/zwgsvmCFrmgWhHfdDDz3UZEXoDLs9aW1tNT8iAhcA0SewBEG00H/bMpP97alpqbG7OQAQEaHo5wW66qqrZPPmzaZP9uGHH5qSU5bFixfLI4880mV77et98MEH0tLSIhs2bJDrr7++S01YADGmstKsPKmp4nNFx0SrFjJgAQBRHYC98847paGhwWRBNDc3y4knnijjxo2T7OxsufXWW3u1j5qaGhM4tTIgLHq9p+FtGzduNKUH9HFa9/XGG280bfntb3/b4/PMmzfPTCJhLZpZASD6RGMGrMpM8QdgyYAFkChC0c8DgE4V/j6eJzN6TrJ3n4QrqYlSUwCA8OrXKUgNZL722mvy3nvvySeffGI66UcccUSXbNZw0AkZBg8eLA888IDJhNCJHcrLy+X22283dWSD0bpiWn/MohmwBGGB6KF/15pZVbKjxFzPSIquyRmsDFgCsAAShV39PABxngEbhQFYShAAAKI2AKvBEh0q9uyzz5rJsHRY2pgxY6SwsFB8Pp+53huDBg0yQdTq6uout+t13VcwOgOu1n4NHIZ28MEHm4xZLWkQbHZcrWOmC4DopMHXm1+4WaqaOjLfWyWqkAELIJGEqp8HADEVgHW7xUEQFgAQLSUItOOtdcEuueQSk3l62GGHySGHHGLqel100UVy9tln93pfGizVDNZFixZ16fTrda39Fcyxxx4r69evN9sFTgihgdlgwVcAscE1wCU+8ZnL6c7wzo6r/35oUKGsrMz8m9brDNhmArAA4lso+3kAEAsBWK9O7NyR3OPcRl8PABAlGbCaEfH222+bIOnJJ5/c5b433nhDzjrrLHnsscfkggsu6NX+tDTAhRdeKEceeaQcffTRMn/+fGlsbJSZM2ea+3U/Ovut1nFVl19+udxzzz1mNtyf/OQnsm7dOjMJ109/+tO+vAwAUabR3WjW6Y50cTr6VZq6Txm3c1+cK/Xb6iV7aLbkF+XvcXtKEABIFKHu5wFAtAdgRbP6MzJE6uslaft2u1sDAIhjfYp0/OMf/zAz0XbvlKuvfvWrct1118njjz/e6/2de+65cscdd8icOXNk4sSJsnLlSnnllVc6J+bSQEllxxe20tqtr776qnz00Udy+OGHm8CrBmP1eQHErgZ3g1lnOCNT/zWnIEeyB2b3qQRBTUtNmFsFAPYKdT8PAAIn4XJHYwBWdbSLACwAIGoyYD/99FP5wx/+0OP9p512mvzxj3/sUwOuuuoqswSzePHi3W7T8gQffPBBn54DQGxkwEYqANsXVgYsAVgA8S4c/TwAiOoMWNXRLkoQAACiJgN2+/btndmpweh9O3bsCEW7ACSQqA7AWpNwUQMWQJyjnwcgIQOwWoJAM2AJwAIAoiUA6/F4xOXqOWk2KSlJ3G53KNoFIIHEQgbs9tbt4vXtmgAQAOIN/TwAIVdfL9LYGBsBWEoQAACipQSBzo6rs+CmpqYGvb+1tTVU7QKQiDVgHdEXgM1I9rdJg6/bm7fLoIxBdjcJAMKCfh6AcGW/erOyxJecLNLcLFFbgoAALAAgWgKwF1544V63YWZcAPGUAZvkTJJUZ6q0eltlS+MWArAA4hb9PABhKz9QUCBRixIEAIBoC8A+/PDD4WsJgITVmQEbhQFYleHKkNY2fwB2fMF4u5sDAGFBPw9AyFVUmJVn8GCJWh0ZsJQgAABETQ1YAAi1Nk+bNHuaozsAm+RvlwZgAQAA0LcMWHc0B2A7MmApQQAACCcCsABstbV5q1k7HU5JdQSvO2i39KR0syYACwAA0Afl5WblKSyUqEUGLAAgAgjAArDVlmZ/UDM7JVscDodEawkCRQAWAACgD0pLzcpdVCRRy5qEq6FBpKXF7tYAAOIUAVgAtqpuqjbr7NRsiVZkwAIAAPRDWZlZeaI5AJuaKj5nx8/irf6RWQAAhBoBWAC2qmqq6syADRef1ydlZWVSXFxs1j6fr0+PpwYsAADAPmTARnMJAodDPOn+k+0EYAEA4eIK254BoBe2NG3ZlQHrn4sr5Oq31cuC4gUybL9hUr66XLKH9i3Ym+4iAxYAAKBP3O7OSbiiOgNWRLwagG1sJAALAAgbMmAB2KqiqcKsc1Jywvo82YOyJa8wT7IH9j3TlgxYAACAPqquFvF4RFwu8QwaJNGMDFgAQLgRgAVgq8pGf2ZEblquRCsm4QIAAOhf+QEZOlQkKUmiGQFYAEC4EYAFYKuKRn8GbG5qbtRPwlXbWiut7la7mwMAABAzE3DJiBES7UwJAkUAFgAQJgRgAdjG4/VIVaN/Eq6c1PCWINgXqc5UcTn8JbO3NtExBwAA6HUG7PDhEu08Gf7RTgRgAQDhQgAWgG2qG6vF7XOLQxz+SbiilMPhkIFpA81lyhAAAADEVwZsZwmCLfTzAADhQQAWgG1KakvMOsuVJU5HdP9zNDCdACwAAEA8ZsBSggAAEG7RHfEAkBgB2OQsiXZkwAIAAMR5BiwBWABAmBCABWCb0lp/ZkS2K3rLD3QPwFY3VNvdFAAAgOhHBiwAAJ38s8oAgI0ZsNnJsROAJQMWAABgL9xukcrKXQHYtrawP6XX55OKjqzbYT5f/zJga2v9bU1JCUcTAQAJjAAsANuU1JXETAbsoLRBZr2liQAsAADAHlVXi3g84nO5ZHNzs5RVVvY5KNpXFfX1Ur9ggTSISE52tkh+fq8f601LE19Skjg8HpGaGpGhQ8PaVgBA4iEAC8A2sZIB6/P6xNHsMJcpQQAAANC78gOtqakif/qTVJaX+4OiYTYsO1vq+vNAh0O8+fmSpMFXLUNAABYAEGLUgAVgm1ipAVu/rV7eWfuOuVy+o9zu5gAAAMTGBFw5OTI6L0+KIhB83Veegf5yU7KF0U4AgNAjAAvAFs3tzbK1aWtMZMCq/Dz/MLZtLdvsbgoAAEBMZMB6YiDwavEMGOC/wERcAIAwIAALwBaldf6OeYYrQ1KdqRLt0pPSOwOwvjDXMAMAAIiHDFh3VpbECi8BWABAGBGABWBr+YGhmUPF4fDXV41mac40s27ztklda7+qiwEAACRUBmwsBWDJgAUAhBMBWAC2TsBVlFkkscDlcEmKM8Vc3tJIbTAAAIC9ZcDGVAkCqwYsAVgAQBi4wrFTAOhtAFYzYGOFliHQDFgNwO4/cH+7mwMAABAVvF6vlJT4+3ZqVGmpOGIsA5YSBACAcCIAC8D2AKy32SuxICMpQ2rba8mABQAACKDB17K5c2V4To6U79gho8rLze3unByJFWTAAgDCiRIEAGydhCumMmBd/om4CMACAAB0pcHX0Xl5MkpEHD6feDMyxJvu7zvFVA3YLfTzAAChRwAWgC1isQSBZsAqArAA0HsLFy6U0aNHS1pamkyZMkWWLl3aq8c9+eSTZpLGs846K+xtBBA6ybW1Zu0eMUIkBiZaVV6fTyra281lHxmwAIAwIAALIOJ8Pl/MTcJl1YBVBGABoHeeeuopmTVrltx0002yYsUKmTBhgkyfPl227CXDrLi4WK699lo5/vjjI9ZWAKHhqqvbFYCNERX19bLzmWfMZceOHSIdwVgAAEKFACyAiEzMoD+mddHL1Y3V0uxuFoc4YisD1tWRAdtEABYAeuOuu+6SSy+9VGbOnCnjx4+X+++/XzIyMuShhx7q8TEej0d+8IMfyM033yz77bdfRNsLYN+5OjJg20eOlFhSMGCA+KyMXbJgAQAhRgAWQEQmZpj74lyz6OUN2zeY20fkjpDUpFSJFWTAAkDvtbW1yfLly2XatGmdtzmdTnN9yZIlPT5u7ty5MnjwYLn44osj1FIAYcmAHT5cYorTKZ4M/8l2qay0uzUAgDjjsrsBABJDTsGuWXA37PAHYMfmj5VYQg1YAOi9mpoak806ZMiQLrfr9dWrVwd9zLvvvit//etfZeXKlb16jtbWVrNY6joCPwDsz4B1awbsZ59JLPFkZoqrsVGkokJk8mS7mwMAiCNRkQHL5AxAYrEyYGMtAJvuIgMWAMKlvr5ezj//fHnwwQdl0KBBvXrMvHnzJDc3t3MZEUM1J4F4FYs1YC2erCz/BQ3AAgAQTwFYJmcAEk9nBuyA2MyArWmqkTZPm93NAYCopkHUpKQkqa6u7nK7Xi8sLNxt+w0bNpj+3YwZM8TlcpnlsccekxdeeMFc1vu7mz17ttTW1nYupaWlYX1NAPaiuVmSOrLSYzEA687M9F8gAAsAiLcALJMzAIln446NsZkBm5QuKc4Uc7myntpgALAnKSkpMnnyZFm0aFHnbToRo16fOnXqbtsfdNBB8tlnn5nyA9byjW98Q04++WRzOVh2a2pqquTk5HRZANho506z8gwaJL50/8ihWCtBYFADFgAQTzVgrckZNHuhv5MzvPPOO3t8DmqDAVGeAbvrzzP6+UQGpgyUypZKWbZ2mYw4coT5NwsAEJyOcrrwwgvlyCOPlKOPPlrmz58vjY2N5sS7uuCCC2TYsGGmlICWojr00EO7PD4vL8+su98OIErt2GFW7Vr/NQZ1BmDJgAUAxFMANhKTM2iHXjNlAUSHhvaGzhqqmgG7o8rfUY8F9dvqpa3VX3rgnnfukcmDJ5v61QCA4M4991zZunWrzJkzR6qqqmTixInyyiuvdPb9SkpKOJEFxGEANhbLDygCsACAuAzARmJyBs2u1eyLwAxYJmgA7FNSX2LWA9MHSm5aruyQ2AnAquzUbNnWsk28GV67mwIAMeGqq64ySzCLFy/e42MfeeSRMLUKQFjEegCWSbgAAPEYgN2XyRkCa4kpnZxhzZo1Mnbs2N1qg+kCILoCsLE2AVf3ibga2xvtbgoAAEBU1oDdmpUl1WVlMsznk1jizvD380QnhHa79Uem3U0CAMQJZ7xPzgAgumyu3xyTE3BZMpz+jnmDu8HupgAAAERlBuz299+XygULzAjGWOLNyBBfUpKIBo67JQkBALAvbD+lx+QMQIJmwMZoADYzyV8bjAAsAABAAB2ZWFtrLuYMGSJF1nD+WOJwiGfwYHFVVvrLEAwbZneLAABxwvYALJMzAInD5/XJum3rzOUcT05nCZFYQgYsAADA7pIaG0U8HvE6HNJuDeWPQZ0BWF0AAIiXAKxicgYgMdRvq5cvt39pLr/52Zvy3f2/KzFbA9bdKL4Yq2sGAAAQLq6O7NdWzXyN4QQaDcAaTMQFAAih2P1mBBBzvD6vNEmTuTy0YKjEIisA6/a5pb49tuqaAQAAhIurrm5XADaGuTtGYhKABQCEEgFYABHT4G0Qn/jE5XRJpstfSzXWuBwuSXOlmctVjVV2NwcAACCqArAt2dkSy8iABQCEAwFYABFT7/VnjOan5YvD4ZBYlZOaY9ZVTQRgAQAAlKve389rifEMWI+VAUsNWABACBGABRAx9Z6OAGx6vsSy7BR/Zkd1U7XdTQEAAIgK8VKCgAxYAEA4EIAFEPEM2Ly0PIll2an+ACwZsAAAAPEVgHUTgAUAhAEBWAARrQFrlSCIZTkp/hIEZMACAABo2qhHXA0N8VWCYMsWkfZ2u5sDAIgTBGABRLwEQbxkwFY3E4AFAABIqq4Wh9cr4nRKW3q6xDJvfr5IcrL/SjV9PQBAaBCABRAxcZMB2zEJFxmwAAAAIq6yMv+F3FwThI1p2v7CQv9lyhAAAEIkxr8dAcSKVk+rtPpa4yMDtmMSLmrAAgAABARg82K7j9dp6FD/mgAsACBECMACiIi6dv/EDKmOVEl1pUo8lCCoaa6Rdg+1wQAAQGJzlZfvyoCNBwRgAQAhRgAWQEQDsNkuf/AylmUmZ4pTnOITn1Q1kAULAAASW9xlwA4f7l+XlNjdEgBAnCAACyAiattrzTorKbZnxlUOh0MyXZnmcnl9R8YHAABAomfAxksAdr/9/OuNG+1uCQAgThCABRDZDNik2M+AVVkufyC5op6haQAAILHFSwDW6/NJWVmZVGf5+3m+DRvsbhIAIE647G4AgMQKwFoZsD6vv4NrLvt8EmuykrNEWkSKdxbb3RQAAAD7eL1dA7C1/lFPsaiivl7qFywQd1qaue5bt04c2k91OOxuGgAgxhGABWBLDdj6bfWyoHiBSJtI9tBsyS/Kl1iSl+zP8NiwncwIAACQwCorxdHeLj6nUxzZ2TEdgFXDsrNlWFGRueysrxfZvl1k4EC7mwUAiHGUIAAQdprhGqwGbPagbMkeGJslCXJT/LP8rtu+zu6mAAAA2KfYPxrIrcP2nXHy8zI5WdyZ/nr/1IEFAIRCnHxDAohmNS014va542YSrsAM2PXb19vdFAAAAPts3mxW7pwciSfuXP/JdqEOLAAgBAjAAgi7sgZ/rdcMZ4YkOZIkHuSl+AOwm2s3S5unze7mAAAA2JsBq+UH4kg7AVgAQAgRgAUQdqX1pWad7YyfjnlGUoZkuDLE6/MyERcAAEhcVgCWDFgAAHpEABZA2JU2+AOwWc74KD+gHA6HjMoeZS5ThgAAACR6CQJPvAZgqQELAAgBArAAIhaAjacMWDUqxx+AXbeNibgAAECCKi3dNQlXHGnP85ebIgMWABAKBGABRKwGbLxMwGUZnT3arMmABQAACcnn2xWAjbMasJ0ZsOXlIi0tdjcHABDjCMACCLvyhvL4zIC1ShDsIAALAAASUG2tSEODueiJswxYb1qaePU1aZB50ya7mwMAiHEEYAGElU5SVdFYYS5nOjMlnozOIQMWAAAksI7sV09+vviSkyWuOBzSPnKkuVi9ZIkUFxebxev12t0yAEAMIgALIKy2NG6RNm9bfAZgO0oQFO8slnZPu93NAQAAiCyr/EBRkcQjd0cAtuGBB0Tmz5eyuXOlpKTE7mYBAGIQAVgAYVVS6++kZrmyxOmIr39yBmcMlnRXuri9bnnvi/fIigAAAImZARuvAdhR/nJTBa2tMjovT4bn5NjdJABAjIqvaAiAqA3AZrviq/6r0oDyyCx/ZsT8j+bL3BfJigAAAAkkzjNgrRIErp077W4KACDGEYAFEJkAbHL8BWADJ+JqS2uTnAKyIgAAQAJmwA4dKvFcgsClk40BALAPCMACCKvNOzfHdwA2xx+A3d683e6mAAAARFa8Z8COGWPWyRqApcwUAGAfEIAFEFYldfFbgkCNzvFPxEUAFgAAJJw4D8BqZq83I0McGnzdTl8PANB/BGABhFW8lyAYk+3PjKhpqrG7KQAAAJHj84mvrMxcLHM4xOfzSdxxOKR93Dj/5a1b7W4NACCGEYAFEFbxPAmX2j9vf7Pe0bJD2r3tdjcHAAAgMmpqxNHSIhp23fzUU1JfXy/xiAAsACAUCMACCJvGtsbOzNCc5PicoGpQ+iBJT0o3l7e3MTQNALpbuHChjB49WtLS0mTKlCmydOnSHrd98MEH5fjjj5f8/HyzTJs2bY/bA4iCCbgyMqQwN1fiVWcAtobRTgCA/iMACyBsSuv8HfOs5CxJcaZIvBqQMsCst7cSgAWAQE899ZTMmjVLbrrpJlmxYoVMmDBBpk+fLlu2bAm6/eLFi+W8886TN998U5YsWSIjRoyQU089VcrLyyPedgC9DMBmx+coJ0sbGbAAgBAgAAsg7OUHhmUOE4fDIfFqYOpAs97Wts3upgBAVLnrrrvk0ksvlZkzZ8r48ePl/vvvl4yMDHnooYeCbv/444/LFVdcIRMnTpSDDjpI/vKXv4jX65VFixZFvO0AejkBV1aWxLP2/ffflQEbj3VuAQCJE4BlaBoQ3wHYoZlDJZ4NTOkIwLYSgAUAS1tbmyxfvtz01SxOp9Nc1+zW3mhqapL29nYZMMA/0gBAFEmQDFj3iBHiS0oScbvFVVdnd3MAADHK9gAsQ9OA+LV55+bECMBaGbAEYAGgU01NjXg8HhkyZEiX2/V6VVVVr/bxq1/9SoYOHdoliBuotbVV6urquiwAIpwBG+cBWElKkvb8fHMxeTvlpgAAMRqAZWgaEL9K6joyYLMSIwBb766XhvYGu5sDAHHhd7/7nTz55JPy73//24ySCmbevHmSm5vbueiJeQAREuclCLw+n5SVlZmlrSMLnwAsACAmA7CRGJpGZgQQHTVg443Pu6tTnupMlawU/4+PdTvX2d00AIgKgwYNkqSkJKmuru5yu14vLCzc42PvuOMOE4D93//+J4cffniP282ePVtqa2s7l9KOgBCACIjzEgQV9fVSv2CBVC5YIA2ZmeY2ArAAgJgMwEZiaBqZEYB94rkGbP22elnw9gJZ8PoCqa+vl8EZg83tBGABwC8lJUUmT57cZZSSNWpp6tSpPT7uD3/4g9xyyy3yyiuvyJFHHrnH50hNTZWcnJwuC4AI8HhEOkrAxWsGrBqWnS1F2dnSmpdnrqcQgAUAxGoJgnAPTSMzArCH1+eV0trSuA3AquxB2ZI90J/1UZBZYNZrd661uVUAED20zr9OoProo4/KqlWr5PLLL5fGxkZTekpdcMEFpq9m+f3vfy833nijKUWlE7TqCXldGhoo7wJEFc1sd7vN5FSejuzQeNaSm7srA9bns7s5AIAY5Ir1oWmvv/76HoemaWaELgAiq6qhStq97ZLkSJIhGV2z3OPR4Ex/BiwBWADY5dxzz5WtW7fKnDlzTCBVa/hrZqs1+qmkpMSUn7Lcd999pkTVd77znS770claf/Ob30S8/QB6sGmTWbmLirSGnMS7Ns2udzjE2dYmSfrbdcwYu5sEAIgxrmgZmnbWWWd1GZp21VVX7XFo2q233iqvvvrqXoemAbDH5p2bzXpo9lBxOW39pyYiCjI6MmB3EIAFgEDap+upX7d48eIu14uLiyPUKgD7ZMMGs3KPGiWJQDN9ZeBAraEnyevWiXzlK3Y3CQAQY2w/XcnQNCA+bdjh75iPHTBWEoGVAVvdXC07mnfY3RwAAIDw2bjRrNyJNL/GoEFmlbx+vd0tAQDEIGc0DE3TcgI6NE2Hpa1cuXK3oWmVlZVBh6YVFRV1LroPANFj/XZ/53Rc/jhJBKmuVMly+Seh+GLrF3Y3BwAAIPwB2JEjJWEU+Ec7pRCABQD0Q1SMC2ZoGhDHAdgBiRGAVQNTB0qDu0G+2PKFHDfyOLubAwAAENYSBO0agNUh+QkUgDUlCAAAiLUMWADxKSEDsMkDzXrJhiWmnjUAAEBcSsQMWEoQAAD2AQFYAGGtAZtIAdiM9gyzfnX9q6Z8CgAAQNxpahKpqkrIAKxPRJJ27BDZutXu1gAAYgwBWAAht7Nlp9Q01ZjL++XvJ4kiPynfrGt9tXY3BQAAIKzZr5KXJ97cXEkYycnitl7vl1/a3RoAQIwhAAsg5DZs92e/DskcItmp2ZIocpP8nfJmT7Nsa9lmd3MAAADCF4AdO1YSTXu+/2Q7AVgAQF8RgAUQcolY/1UlO5IlKynLXF63kwkaAABAHAdg90ucUU6W9oH+ev+yapXdTQEAxBgCsABCLlEDsCrf5c+MWLtzrd1NAQAACL0NGxI3ADtggP8CGbAAgD4iAAsg5NbvSNwAbJ4rz6zX7iAACwAA4lAClyBoIwALAOgnArAAwlYDdmx+4nXM85PJgAUAAHEskUsQWDVgKytFdu60uzkAgBhCABZA2EoQZLRmSHFxsZSVlYnP55OEyoDduTZhXjMAAEgQXq/Ipk0JG4D1pKRI6+DB5rL3iy/sbg4AIIa47G4AgPjS2NYolQ2V5vLT7z0tbw55U8pXl0v20GxJBLmuXHGIQ2rbaqWqoUqKsovsbhIAAEBoVFSItLaKuFwiI0aIlJVJIqmor5ccEUkVke3vvSeDjj3W7iYBAGIEGbAAQmrDDn/5gbzUPCkYUiB5hXmSPTAxgq/K5XBJbnKuufzFVjIjAABAHJYfGDXKH4RNQL5Bg8w6ed06u5sCAIghBGABhKX8wMiskZKoBqYONOvPt3xud1MAAABCZ8OGhC0/YGnN85ebIgALAOgLArAAwhKAHZ0zWhIVAVgAABCX1vv7efUFBQlX59/S0jERV8qqVXY3BQAQQxJz3AiAsFm3zZ8NMCp7lEirJKRBqf6haR9XfWx3UwAAAEJnxQqz2rJxoyTNny+V5eWSk504paasAKyGnF1btohUV4sMGWJ3kwAAMYAMWAAhtaxymVkfmH+gJKrBqf7ZcT+r/kzaPG12NwcAAGDfaabr0qXmYvqoUTI6L0+KEiz4qrzJyeLuKEMgn3xid3MAADGCACyAkGloa5BPqz81l48oOEISVU5yjuSk5Ei7t12+3Pql3c0BAAAIzQRc27eLLyVF2goKJJF1vn4CsACAXiIACyBkllUsE6/PK8NzhktRZpEkKofDIYcOONRcXlHpH6oHAAAQ0zqyX9vGjxdJSpJE1hmAXbnS7qYAAGIEAVgAIbOkdIlZf2X4VyTRHTLwELMmAAsAAOLChx+aVeuECZLoCMACAPqKACyAkPmg/AOznjp8qiQ6MmABAEA8ZsC2Tpwoia4zALt6tUhzs93NAQDEAAKwAELC5/N1ZsASgN2VAbuyaqV4vB67mwMAANB/7e0iK/wnlcmAFfFkZIhn4EARr1fk88/tbg4AIAYQgAUQEht3bJStTVsl2Zksk4omSaIbkzNGMpMzpdndLGu2rbG7OQAAAP332Wcira0i+fniHj3a7tbYz+GQtoMP9l+mDAEAoBcIwAIIiQ/K/OUHjig6QtJcaZLonA6nTCz0D9GjDAEAAIiH+q9y9NEm+IiOycgUAVgAQC8QgAUQEkvKmICrOw1GKwKwAAAgFnm9XikuLpb6N94w131HHWV3k6IGAVgAQF8QgAUQ0gzYcanjTEe9rKzM1IVNZARgAQBALCspKZGyuXMltSMAu4XyA7sHYD/91F8LFgCAPXDt6U4A6I2dLTvlk+pPzOW3P3lb1levl/LV5ZI9NFvyi/Il0fi8PhOAHpIxxFz/uOpj8fq8piwBAABALBnt8UjK9u3iczikdRJ1/i3tY8aIpKeLNDSIrFolcoh/AlYAAIIhGgBgn/3907+L2+uWA/MPlKIhRZJXmCfZA7MlUdVvq5cFby+Ql9e8LMmOZKlrrZPlFcvtbhYAAECfZX35pVk3jxol3gED7G5O9HC5RE44wX/5lVfsbg0AIMoRgAWwT7TMwIMrHjSXv7f/98TBxAxG9qBsGVg0UEZn+Yfqvbj2RbubBAAA0Dcej2StXm0uNlhD7rHL6af71y+/bHdLAABRjgAsgH2yrGKZfFr9qaQ4U+TotKMTvu5rd2Myx5g1AVgAABBr0t99V1w6xD49XZp0yD26Ou00//qdd0Tq6+1uDQAgihGABbBPs+Le/fbd5vpw13B5+K2HpZ7OZxejM0eLQxyysmqllNaW2t0cAACAXsv65z/9Fw47zD/kHl3tv7/IuHEi7e0iixbZ3RoAQBQjAAuEIAhpLXo9kWbFvfGFG+Wf6/wd8wOyDkjouq89SXelyxEFR5jLL617ye7mAACAfvTzEqmP12nHDsn43//8lydOFK/PP8moLox4CpIFSxkCAMAeEIAF9jEIOffFuTL/g/lmrdcTSWlyqbT72iXHmSOFKYV2NydqnTLiFLOmDAEAALFD+3Vlc+eaJdH6eMb8+eJoa5O2QYNECgulor5e6hcskMoFCxjxFKwO7H//q5Mj2N0aAECUIgAL7KOcghzJK8wz60TKsq1qrJIlNUvM5fFp45l8aw9OGe4PwC7auEga2xrtbg4AAOil4Tk5Zkm4LNt160R+9ztzcefRR4t09POGZWdLUTYjnro48USRtDSRsjKRzz+3uzUAgChFABYIAa/PG7ahWNGaZXvz0pulzdsmw7KHyYGpB9rdnKi2f97+MjpvtLR6WuXVDa/a3RwAANALjvp6ce3cKSlVVeIqLQ1LdmNUZtnq67zySpG2Nmk+4QRp0hqn6Fl6ushXv+q/bNXMBQCgGyqpI6FoZoHVuR05cqQ4nc69bhe4bV1rnXy+5XP5sOxDeafkHfmo7CPZ0rRF2ta0SXpSuqxqXiXTD5ouJ+SfIAXpBXt9nr5m2UaL51Y/J6+UvCJOccqMA2ZI66ZWu5sU1TQ7+Lvjvyu3v3+7XL/oejlj/zMk1ZVqd7MAAEhogf09R2urjKivF6dmMC5ZIvLWWzJqzZpdGz/1lEhRkT/b8eKLRU45pTMrdF+FM8O2X55+WuS110RSU2XbzTeLPPec3S2KOloPt0IzXjuMPO88cWoN2DvuELnkEpERI2xtHwAg+hCARUKxsknVnBlzZPTo0UG327x5s/zi+V9IY0ajlO0ok0EDB8mG+g1SWtfzLPbNnmZ5rfQ1s2hgcv/s/WWsjJV7zr5HxowZI/Hig7IPZObzM83lIwYcIUOyhkiJREnGRhTyef0TVvzfqP+Tv336N1mzbY3Me3ee/Oak39jdNAAAEvNEe2OjVL/0krS8+aZkvfKK5NbWSvLOneIIkuHqTU4Wb2qqOFtaxFlZKfLkk2ZpO+AAcV1zjTgvuEAkI6N/Da6rE2dtrfja28XnipKfZW+9Jb6LLxYNLe+4/HIpdrlkGHVNd2PVw5Vhw6Ssrk7khhtk9HHHibz7rsjVV4v86192NxEAEGWi4pt+4cKFcvvtt0tVVZVMmDBB/vSnP8nRWmuoB88884zceOONplbS/vvvL7///e/ldKv4OdCNlgbY0rhF1m5bK++ve1/WJ62XZGeyPLvhWRndPFoykjOk1d0q25q3SUltiSwtXyoflH4gO1p3iNR27KR81/6yXFmS1Z4lg5IGyUDPQBk4eKDsN24/2Vy6WQrSCmTxlsXyZd2XsqZ+jeh/p794ulz5lSvl7IPOlmE5w3r8wfD5+s9l1fZVUi3V8umWT2Vl1UrTZr3P4/VIfnm+DEsZJsdWHysjR40UpyPyFUTe3PSmzPjHDGlsb5QjBx8pU3KnRLwNsaZ+W70sKF4g2dnZcsPkG+Sqt66S2965Tc495Fw5uOBgu5sHAGFHPw/hpMHUqtdfl+TNm6Xx888lackS8bpcsvO002SAZiFmZYm0t4ts26Zn4kU++EAcK1dKkdu9277ac3PFffDB0nrIIdI6ZYpsGjZMhrz6qpTX10vjzp1yuNMpjStXyujiYklZu1bk8svFM3u2NHz3u5J98cXiDKiV2oUGMDVb8uOP/cuKFf51aamM7NjEk5oqzZs3i5x7rsg3viGSmSkR9+abImeeKY6mJtkxdKjUtrebCbdytOZrfn7k2xPltB7u6LyOEWoa7L/3XpFJk0SefdY/Iddpp9ndRABAFLE9APvUU0/JrFmz5P7775cpU6bI/PnzZfr06bJmzRoZPHjwbtu///77ct5558m8efPkzDPPlCeeeELOOussWbFihRx66KFit56GrsfL80UDj8cjazaukUZ3o+QW5Eqzu1ka2hrMoiUCNldulorGCtlYt1EqWipMELO21Yqk7vJG9Rt7fB4NcBZlFckA5wA5tfBU2S9rP/lk5ydSNLxISj4rEdER5Dry3iWSmZIpWU1ZsqV6i4xvGy9jC8ZKqatUPqv+TFbvWC0/+e9PzDK5aLIJuo3IGWH2v6N5h5TXl8vy8uVS1rBrGFMwlQ2Vov+d88o5MnLJSDn/8PNNUHdC4QRxOcP7p6xlF7QGrWZwtnna5NiiY+WmA2+S/1T8J6zPGy+yB2VLTk6OnD7qdDnzgDPlP2v/I2f+40y5e/rdpoQDE5gBiFf082Lr+exmXu/mzeKsqzP1V4fl5oqzsVGkoWHXUl/vD2bqJFFffimO1atlqMdjHu8v/tRh5coen0e/dd0ZGbJz0CBpLyiQooMOkqVut2xzu6XB4ZCs2lo5+IsvpPR//5OMjgmnivLypGjkSHk3J0davvIVyVi3Tgq/+EIydu6U3AcfFNFFA76HHy4yapT4UlKksbRUnFVVkrpqlSRt377H157U2ipZzz8voos+5/e+51+mTvXXGA3nZ+eLL/xD5x9/3ASrm046SeoOOURGDxokZU1NfX7uhHXYYf7s1zvvFDn/fJF580R++EORpCS7WwYAiAK2B2DvuusuufTSS2XmTP+QZu2gv/TSS/LQQw/Jddddt9v2CxYskK9//evyi1/8wly/5ZZb5LXXXpN77rnHPNZuP3nuJ/Li6hclLS1NPK0eOXLkkTIwb6CkJKVIalKqf+3qWCeldrmsa2tCJ4/PY7IedW2uB1xu97RLfVu91LfWS3lNuSwpXiKOFIe4W90yfuh4GZQ7SLJSsiQzOdO/1uBgx3XrOSyBgR+H6Y727j7lk13DkawJqILdFnh7sNu6P765vdkETGtbas16Z8tO2dq0VSp2VEhNS43JVG319r3maE5yjqS3pUtmeqZIksjA1IHic/mktqnWBEIz0zJFGkTyk/JlgGeADC8cLmMOHGOCrZs3bpbNbZsle2j2XgNtGpTNTs6WIw44Qsa3jJcv6r6QCkeF1HhqZHnlcrP0JNOZKTm+HBkxYIQ4a5ymzc52p6QXpIsMEvmy/EsTVNZM3VvfudUs2SnZMqlokgzJHCID0gdIW1ObCe7m5+abwKwuSc4kSXIkidvrNhNB6THetnObtHhazPV2b7u5LyMjw2yr77e+/1sbt8qarWtkS/OWzjZ+feTXpaC+QB548wFzPPKLyIjoLT2mC09fKMsrlsvGHRvlm09+U44aepQcPexoGTdgnOSk5nS+Z+Z9c9jfYQ/8O7WtDVEw9JHjED3Hwfoe1JNB+m+XjmCo3lZt/g3T60eMPkIunHih3c1EnPbzamfPlpzHH5fUtDRp8nqladIkyRowwNTK3OuSkuLPjtSZ7jVg2H2xbtfMTA0y1tVJY1mZZH7wgWguZLPbLc0HHyyZAwf6szqDLdZzWHq6vLf7VOC/OdblYLf15X7V0iKyc2eXxbdli7SVl4tUV8vIbdvE2Yd/77TlnvR0SRo8WKpdLnGmpYnb7RZvc7PkJSdLW3OzpB5wgHjz82Xn2rWSOmKELHU4ZMSQIVLncIhWX9XAaltJieg4pTrtM4qYzEYztDwIb0qKVBxyiDQcfLAc3toqDcuWSXp5uSTpRF26dLQrK/BwOhxSm5MjDXl5sjUvT1o1oHvwwfLRli1yUEaG5Le0mFIHhe++a7J5TUBXF31PJ00SX2GhNKSliS81VbLz88WhJQs0sGctel0/P3p8W1qkcetWSf/oI8lyOqWlpUVaxo6VDM2q1ffa6TTtaS0vF9fmzeLaunVXQ7/9bdly660i993X6/cg0QXWgx15443ifP11kU8+EbnsMpG77xY5/niR/fcX0WxZfZ+Sk/1rfd/sPgkfBX0L2kAbdmtDW1vn4m1tlZ1btoijrU0c7e2Sc+CB4rzqKrtbCcReALatrU2WL18us2fP7rxNz8xOmzZNlmjx+yD0ds2kCKSZFM/1UBy+tbXVLJbaWn8mZF0PHap99eHmD6W0vlSk3n994+cbJZI2r9ksiURrraY4UsThcUiSJInL65Lk5GQZkD1AnHVOSW5ONkHXgoEFMnzEcKlcVyni1TFmIo31jVIwvEC2Fm+V8YPHS9HQIqncVimS7L+/trxWqpOrZXvF9s7btpdtN0HzwNt03dNtjVWNMjp5tIxuHy3bG7aLp8BjAgWtya0iHjGlEAbkDBDfFp8MGTBEUtwp5rFFGUVS2bqrrd5qrxSlF0mGO0POmXiOrPGukZeKX5LlW5ZLfV29vF33dtiP9bGDjpXLJl0mg9sGy9+3/l3aW9t7dTz6cryi8bZQ7actq03W5K+RoUOHyj9P/qc89MVD8rc1f5OPNn5kFgChcXzp8XL2fmeHZd9W3yEaguGxIB77eS0rV0pmebl+hZuBMN5Nm0zALpz0eXSwvH69eEpLw/58drPeTY/DIW1JSdLmcoknKUmS0tKkzus15QXqU1KkOSND0ocOlY89HikcMEAOGDpUVlRWmqBnQ0fw84CiIlOr02Qjqr/9TYZmZ0tNZaW07NjRuZ0jNVU2bN/e5bG9vq2oSFYccog0jRghI5qbZdjRR8vA5mZpqK0V99q1sk27BTk5MvTAA2X5li1dHquB9UYd2VVfb26r37lTxkydKp5hw2R8RoYM+OQTf3D0ww+7HKOOnxl7pXmzno7Pjru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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_t = numeric_train[nan_columns[9]]\n",
    "\n",
    "test_density_fillna(x_t, [\n",
    "    lambda: 0,\n",
    "    lambda: x_t.mean(),\n",
    "    lambda: x_t.median()\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule[nan_columns[9]] = x_t.median()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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1ztNYQQ8IRrbX0mSrxkQaj+hpIIUZ/aEHJPXAsxZb6IFYvazJZI0v9GBtT3RddcSIva6RNFayJ6/Ug9G6XE1yavIzWbTI4oEHHgj+BtGKZK2G1eIGvR19QwIWAJDWtCJPj6b3NwGrCTwNmjSQ0yRPd4k/Xa6eNLDSqlOtkrN7gmolrNIj4Pbj7JNWfepQ2lCavNHen6E0mFT96dmpr6uVZpGvqQlYFfm6mmCOfGxf+lP2lVa2ajIxWuWjJvQ0MafViPY20URYf6oStH2AVvRqIlUrijdv3mySedFo0kyTP7pfKA0UNTEZrRJUk+d96UOrSWR7u2lAr0lmreKw2YldDcAjabI+9LPVhLBWZeg+p8vSZU6cONHcFy2prMPOtPWFrmu0hJ4mo7Qywu4FrD9odJn6eHt5mjjTJGLoKTKRpttLhwZGDmWPtu/peuhnGrlPLVu2rMu+F5pw06rH0GGGvW0/Tcbq60R+N+yhgT19drqe+v61sjRyPbWaJHI99UdOZII+8rupiWetctF1Ct3WWskZ7bPrC90HIj8Lm36nevsBqfdH+y7ZBwrs59vn3T022uvo56H/puh3SiuOdLtpdVNvieWLLrrI/FvX3UElff4jjzxi+lBHTszV23qGPgYAkDrVrzr6K1rrHbsCtieaTNXRLRqzabwQehBOYwu7BZdNr+vtofSgaG8xjP6t1tjBPnU3capW1+qBb43PNDkc7W+8jvTQZGvo8uw4JrRdQDQaC/a0rhrDaHGH/mbQx9lzK0TOK6DVxqGvH3m/0uWEPibaiBet3NX7NGbS4gGNoyNpAljjSY2NQpf3xhtv9Pp+8Q1aEAAA0pompzRA6W6oa3d02L8mCbSPY+QESDZNktkTX2nwpUegdaiNDm/W4cj20GntRRXtCHZ/16mv9HW1sk+H70ZjJ45s2jZB+1mGsoc9DZYmU7XtgSZE9Wh+NI8++qipbNBKzlBa5dAXWsmoyVv9PPSkVRBaSaGJIbt61KZVeJoA0gBeE8L6+WnlhVYpRtJE5NZbb93r62vlnfaRVQ0NDWY/0OpArYbWyr/+JIT08drfTPc7rWrQ4FU/T92vQidQs2miXBPP+jyt/I2sMtBea3qbro+2HdBtpYlE3Q728vRAgp3ktemPhtBJ2PR7FG0bRdJl6vJ1naJN2BUtKaoJRh2er8P6I/fNgSTU7IrUaN+50PXUHxKh1dChBlIxr8ljfR86jFJ7Eev+rv+G6LaP9tn1he5D+oNGE8KhbQh0m+m/S1qZ29vztW9qJHsov/18e3ijfXvkY3t7HaWtLrTViVb29LSv2JPBRZtATdkHSKJVSvW2nrrNaT8AAKlDh6HraJHuJknsy994TeBpyxz9W6oHPTXG7i9tfxUZ60TSpGroiBX9+xkaC9k0SamP1XXRFgM6x4G2XgplH5TU3xORorXRsX399dfmb3xP66rL1fhUWzDp32fdLnrQMvKArcbXoUnvaO9FDxzbBRrRRp4ojUm1ylgLDjSm19e3Y63Q96tx3+LFi7vEfwOZVDdbkYAFAKQtrZLSI+uhTfb7QoM8rWDUBIAGWN0lYDXxFhq0HHfccSYBoMOOtDeiDr9RmjgJfVx3NIDSADE0CWUPU7KPbveFvq4GQn15TaUVe5GP7WvyszcakOo21KrO7mj1sAaROmRJWxVo0lQDvGhH2LurRAitHNYhzhrwazJIA8HQRLd+PtoXVRNvGmTqa0SbXECrYrVvqCY+e6OBZuj20+Xr62gVsiZG7SBak5haDR2ZQLU/Wx3mr5NKXHPNNaZq1WZXUkejbQd0u+m+qkP2tOdpaCWJDvPWqpObb745rFIwdAIJTVSGTialdBhgaBJdq1ND++b2tO9pBaO+52jJ1Gg0Wa4JRp0gI5rQ7Rf6Oev3RbeN7j+hdAieJoF7SgLqemoFplbJ9OXHn+4L+r5Cq2Ajv5u6rbXfnPZ7DaXbOrR/c39oEl598MEHZhimTa/r+7fv7+n5mkzXKvHQapr33nsvbPn6w02/J7pc3Wdt+mNO/w0Nva079tD/3qp99SCF7lPdJbn1u6nbObQHr00n9tDn6XpGWrRoUa/bAwCQOHoAUZOTejBYY7VodKSDHftEo3+HNLbRiTD177omPLXa0j4oqQlGjeU01rHpde27Hxr36N+I3vre60FTHfHSW6GExiXaykkfqwUMCxcu7PIY7X2uo+I0RuhPwYVWjGpcEm2ySaW/STQesuNmpYUf0ejop97ej8aAoY+JFhNpDGM/Rgsq9O90ZDWtxmL2AeOBTKSLAFoQAADSlg5j1SRsb0ObImkQqJWUfUk4RQaJOkTKHh6rFZ2a9NDKuMhZ1ZXO7hopdBIbTfjo9ZycnH69B02WaDCo/bYiaTLInqQo3rQyQGem1cRaT0kuTQ5pUKwJ7CuvvNIkM3uqDuiNbnOdyEyHfocmHm36Wpqk0yP6mjzVatBIzzzzjEkoRSZM+8Iegm1XAGhQqgHuXXfdFTZ0WisoNJGkbQRCHx85hLu72WeVHeRq1a8ONdOkc2gPTF1m5PL+/Oc/h/X4tQ8khJ60f7DSJJ9WUtt9XXujPcn0NfU7FPm6ej3yYIYm4zRhrlXJ3VWs6r6vVY36mYZWkuoPAG03YW8/pfu2/uDZd999e6y40Pei20ArVSPpMiJnONaDMqGTeOk+qz2fNeFnr3e0ba3DJaNVoOoPl760+dD9T5P5+j0Kpde1JYQm+22a1NRlas/l0KpUfZ+hk/3pPqhV0dpr156MTyuj9XPXinD9TGxava8Hc0Ir5KO1kdB/33R76Pfc/tGrP3hDl2XTba7bKdrBDV2ObjPtGRfZLzq09522PNDKbZv+eNeEeGQlPwBkqua65oSeBkIPdOrohO7aQim97/333zdxjMZt+ndM/8bp3zSlCVw9sKcxgA6F14O7OtLEprGc9hfX5+hBWW17pf3otf+osiepUvq3xW61pLGS/j0cSIsgfZ7+jbNHIelBzGh9/3Wkhw7x1/enVbwal+sEYd3Ns6CP0b7pxx9/vIlD7HVVel1/Z2h8pqNI9O+6HhzWCb20XVo8aVyk71djOB3lpTFD5GS++rloYYOOPtPt/9VXX5mktxYIRPbqR/eogAUApB0dIqNJJq2mtJMidqsAmyZuNCjT23W4fmifVx3Orsmd7ia/CX2d0BYEmqzQAMWerEcTgRoQasJPj4Rrok+rtzT5osGIVt+FJlw1EaZVk3oUX5MjGtTp43SofH+GRGswqpWRmpjSIUM6sZCuq1YMaJWeJkYHWpGn1XCRiS0NJDXJpEftDz300ODtel0rEzTY7IkGqRoIax/YWNFEoCZ0dR/QqonQCmJNWmnwqokenTwodGi3Jq+0J65WZWpCU2fd7Y2+f/3clCacNLml29uuvNaKA51kQoNSTZhqgKrJd/0xoRUh+oPC3l8OOeQQ81hNRGm1n+6LGsT2RisGdftpQlDXX5ehdB/Q/VKDZU2MaWJefxD1ZdIz/cGgbQF0v9GWFKGfbU+VpVr1rD+odD/TbaAV0PoeNIGp7S7sH0VKh/rpvthduwylCUhNzOvwfj2ooT9MtFJcvztaqavVMErflz5Gf8DZLSG6o+9Fk9X6w0D3af2c9UCH/njT/UIr4DV5GfrDQreFbhP9t0J/gOi/IaEtH3Rb6/6m+7vuO7rd9N+RyL7OSvcF/X701i9VE5qasNTviCYX9f1r4l7/3dHEdWhbD90emvgObR+h/47o8/Tz0MSpVrDopFn62URW6urydL112+jnpMMg9QCGbpvQZKluN01A676q+6j+ONT3qT9E9fH2vw96ux580B+fdt87/fH5wgsvmOXp5xhJ79cfeNGGQNr030P9jLTaWCvr9d9xrZjXIam9/VsDAJlA/4bPOXpOwl+zvzQm1pjEPqgbjf591VhH/23Xg6f6d0//dunfDp2wUg9C6981exSHxjT6t1/j63POOcfEGfo3W/vE6t8ErU7Vv83230G9Xf9GqNBKT5s+RxO4/WEfeNX4Rf9GRmuZo60BtBJXYzx9jCZttW2A/v2zJ+yMdsBZW/B88sknMn/+/LD79O+bxrL6vvS+X/3qVybxq1XBGk9Gay8QK/q7Qk/62ehrajwXrd2PbneNAbUllv4u0O2jo9pCD5SjFxYAAGnmq6++0qxGn0+vv/66ed4DDzxgrk+ZMsXy+/1dlqf322bOnBm2jKKiImvPPfe0/va3v3VZH13+tGnTrNLSUsvj8ViTJk2yTj31VOuDDz4IW15hYaG1cuVK64gjjrAKCgqskSNHWrNnz7Z8Pl+Xdbnpppt63AYNDQ3W5Zdfbm277bZWbm6uVV5ebh1wwAHWH//4R6utra3XZe28887WoYceGvYeetuOW2+9dfDxellve+qpp8KWq+8z9HH/+Mc/LIfDYb344otdHqfboze6jrqu0axdu9Z8LkceeWSX+84991yzfo888kjY7V9//bU1fvx468ILL7Tq6uq6PE+fo5/JQPaDxx57zNpjjz2svLw8a+jQodbJJ59srVmzpsvrn3jiiVZZWZnZX374wx9aGzZs6PK6ejlamHbNNddYbrfbWrJkibleU1NjnXbaaebz13XT/fDzzz83n4Gue0/+/ve/m33mwQcfDPs+9GX7P/HEE9ZBBx1kPkM9TZ482TrvvPOs5cuXhz1X38Ott94a9tzu3tsdd9xhlpOTk2O+G2eddZZVVVUVvP+Xv/yldcghh3TZl3pa5t13323ttddeVn5+vlVcXGztuuuu1m9+8xuzzW26rY455hjrpZdesnbbbTfz+el6PP7442HLam1ttS6++GJr9OjRZnkHHnigtXDhQvM+Q79Loe+9r3Q9d9hhB/Nd1n8/dJtFfib2e7T/PbO1tLRYl1xyiTVq1Ciz7vvss0/UbaTeeust85nrv1PDhw83n1l9fX3YY/Q7O3XqVPMZ6L42ZMgQc/2ZZ54Je5zuez/72c/Mv0H675m+tu4rf/jDH4L/BkX68Y9/bD7f0M8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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_t = numeric_train[nan_columns[10]]\n",
    "\n",
    "test_density_fillna(x_t, [\n",
    "    lambda: 0,\n",
    "    lambda: x_t.mean(),\n",
    "    lambda: x_t.median()\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule[nan_columns[10]] = x_t.median()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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a2Cs9LKsHAABAH8ZnZ0uWz2eW28IwAZfqTE425+FZOwAAwM5IwCLmdAQ6pKEtvAnYZFcwMG/zt4Vl/QAAAOiDZYnU1JjFtpycsLYgcLcR5wEAgMggAYuYU9cenLE21ZUqqe7hnxlXpbiDgXl7oD0s6wcAAMDOPM3NIu3tYrlc0u71huU5OknAAgCACCMBi5izo32HOc/xhKcqQqW4goF5W4DAHAAAIFKSdgTjvNasLLE8nrAmYF3t7GgHAACRQQIWMae+o96ce93hqYoIrYClBQEAAEDkJNcH47zWMFW/KloQAACASCMBi5jT2NlozjPdXRNlhbEClhYEAAAAkeNpDMZ5bZnhi/NoQQAAACKNBCxiTlNnkznPcGeE7TmogAUAAIi8pK4EbHskErDagiAQCNvzAAAA2EjAIub4On0Rq4ClBywAAIADFbAZGWFvQeCyLHE1BXfsAwAAhBMJWMScpo7IVcB2Wp3S7qcNAQAAQCR4uhKi4ayADXg8EnAHfwa5fcEd+wAAAOFEAhYxpSPQIU3+prBXwCa7kruXfR0E5gAAAJFsQRDOClhxuSRgtyFoaAjf8wAAAHQhAYuYUtlcac7dLrekudLC9jy6/hRPMDBvaCcwBwAACDdXW5t4WlrCXgGr/MnBne0kYAEAQCSQgEVMqWiuMOfeFK+4XK6wPldaUjDB62unAhYAACDcPBXBOE+SkronygoXf2qqOacFAQAAiAQSsIgp25u3m/Ps1OywP5edgKUCFgAAIPw85eXBhexs0yYgnOyJuKiABQAAkUACFjFZARuRBKynqwKWHrAAAABhlxSagA2z7hYEVMACAIAIIAGLmLK9KVgB6031hv25qIAFAACIHM/2YJwn3vDHeUzCBQAAIokELGJKeXN5xCpgU5OCvcFIwAIAAIRfkt0DNhIVsCRgAQBABJGARWwmYFMi1wOWSbgAAADiqwK2OwFLCwIAABABJGARUyJZAUsLAgAAgMjxUAELAADiFAlYxIyAFZDK5sqI9YClBQEAAECcTsJFAhYAAEQQCVjEjOrmamkPtJtlb0rkJuHydXBoGgAAQFj5/eKprIxYArZ7Ei5aEAAAgAggAYuYUdpQas4zPBnicXvC/nxpHloQAAAARERFhbj8frFcLpHMzLA/HRWwAAAgkkjAImZsa9hmzrOSsiLyfPSABQAAiJDS4I52vyZf3eH/iUICFgAARBIJWMRcBWxWcmQTsL52Dk0DAAAIq23BHe2dWZGJ87oTsLQgAAAAEUACFjFjmy+yFbBMwgUAABDhCthIJWCTk825q71dpLU1Is8JAAASFwlYxF4FbIRbEDR2NErACkTkOQEAABJSVwVspBKwOgmXZV+or4/IcwIAgMRFAhYxw6kErCWW+No4PA0AACDcFbCRakEgLpdYXW0IpK4uMs8JAAASFglYxIxItyBIcieJx+Uxy3WtBOYAAADxUgGrAqnBdlMkYAEAQEIkYO+44w4pKiqStLQ0OeSQQ+Tdd9/t975PPvmkHHTQQZKbmyuZmZkyZ84c+etf/xrR8SLyAoGAlDWUmeV0T3rEnjfVHQzMScACADA0xHkYSJzXvnWrWe5Mj1ycRwIWAAAkTAL20UcflUWLFsmSJUtk9erVMnv2bFmwYIFUVlb2ef8RI0bIz3/+c1mxYoWsXbtWzj//fHN68cUXIz52RM5nmz/rngzLau3u2BV2qR4SsAAADBVxHgaipKREXF0J2EhOfUoCFgAAJEwC9uabb5YLL7zQBNczZ86UO++8UzIyMuSee+7p8/7HHnusnH766bLPPvvI1KlT5Qc/+IHsv//+8tZbb0V87Iic6pZqc+4Wt6S4uvp1RbACdkfrjog9JwAA8YI4DwPS1ibJ7e3OVcDuIM4DAABxnIBtb2+XVatWyfz5878YkNttLmvlw+5YliXLly+XDRs2yNFHH93nfdra2qShoaHHCbGnujWYgE1zp4nL5Yp4BeyOFgJzAAAGgzgPA+WpqTHnAbdb/PbEWBHgJwELAAASIQFbXV0tfr9fxowZ0+N6vVxeXt7v4+rr6yUrK0tSUlLk5JNPlttvv13+53/+p8/7Xn/99ZKTk9N9mjBhwrC/DoRfVUuVOU93Ra4qwk74qtqW2og+LwAAsY44DwPlqQrGeR1paSIR3NEe0OdTtcR5AAAgzlsQDIXX65U1a9bIe++9J7/+9a9Nb7HXXnutz/teffXVJpC3T1u7+kshNlsQpLsjnID1BANzWhAAABAZxHmJx1MdjPPaMzIi+rzdCVgqYAEAQJglDeVBmzZtkilTpuzxk48aNUo8Ho9UVFT0uF4vFxQU9Ps4PXxt2rRpZllnx123bp2pgNC+Yb2lpqaaE2KbUxWwtCAAACQa4jw4WgEbQfSABQAAUV0Bq0HxcccdJ3/729+ktbV1yE+uh5bNnTvX9PeyBQIBc/mwww4b8Hr0MdoDDPHfAzbSFbBMwgUASDTEeXCsAjaCE3ApErAAACCqE7CrV682M9LqIWFawXDRRRfJu+++O6QB6Druvvtuuf/++02Fw8UXXyxNTU1mtlx17rnnmsPLbFoB8dJLL5nqDL3/TTfdJH/961/l29/+9pCeHzFWAUsLAgAAwoo4D45VwEY6AUsLAgAAEM0tCPRwsGXLlpmg+Nlnn5X77rtPjjzySNl7773l//7v/+Scc86R/Pz8Aa3rrLPOkqqqKlm8eLGZkEHX/cILL3RP2FBSUmIORbNp0H7JJZdIaWmppKeny4wZM0yFhq4HCdAD1uVQBSwtCAAACYI4D5FGBSwAAIh3LsuyrD1diR4W9oc//MFUMLS3t5tDzr7xjW/Ib3/7WyksLJRo0tDQYGbJ1YkasrOznR4OBmjyLZOluKFYTvSeKAVZBTJx74lS8mGJiMbNelRiqoTluo83fSyPb31c9h65t2y4bIPTmwEA4KBEjSGI8xBurfPmSdp778n6Y4+V9smTZf+JE+WtkhLRd7BBxJzv7rqhPGaE3y/jH3hARD8r9fVObwYAgIOIIRCVLQhsK1euNFUKGnzffPPNctVVV8nGjRvNoWNlZWVy6qmnDt9IkdBqWmqc6QHbNQlXbUttRJ8XAACnEechYSpgGxpE/P6IPjcAAEgsQ2pBoEH4vffeKxs2bJCTTjpJHnjgAXNuH0I2efJkc7haUVHRcI8XCailo0V8HT6znOZKc6wFgRaLu1yuiD4/AACRRpwHpxKw2gM22YkErKqrExk5MoLPDgAAEsmQErB//OMfTQ+w8847r99Dz0aPHi1/+ctf9nR8gFQ0VZhzj8sjKa4URybh8lt+aWxvFG+qN6LPDwBApBHnIaJaW8Xt83VXwEYyASsejwQyM8Xd1CRSW0sCFgAARFcCVg89mzhxYo9JE5RWCG7dutXcpv3BFi5cOFzjRAKraAwmYDM8GRGvQE1yJUmKO0XaA+2yo3UHCVgAQNwjzkNEVQTjPMvjEX9yRNOvRiAnJ5iAZSIuAAAQbT1gp06dKtVdhwqFqq2tNYelAcOpvLHcnGckZUT8uTXhm52S3d2GAACAeEech4gqD8Z5/owMDbwi/vQBe6IVErAAACDaErBaAdGXxsZGSUuLbI9OxK9AICDFxcXyccnH3RWwTshJzTHnWgELAEC8I85DJOO8irVrzeVOTcA6MY6cYJxHAhYAAERNC4JFixZ1VwUuXrxYMkICJb/fL//9739lzpw5wz9KJKSSkhJZ+txSWedaZy4nByJ/WJrKSelKwFIBCwCIY8R5iHScV7p0qczYssVcbk+JbJ9/mz83N7hAAhYAAERLAvb999/vroz48MMPTf8vmy7Pnj1brrrqquEfJRJWdn62dPo6zXK6J93RBGxtS60jzw8AQCQQ5yHSxmdny6hAwCx3pDsT51EBCwAAoi4B++qrr5rz888/X5YtWybZds8kIIya2pvMeZrbmcMes1O7esDSggAAEMeI8+CIxkZz1ulUApYesAAAINoSsLZ77713+EcC9KOxPRiYZ7gd6gFLCwIAQAIhzkNENTU5m4ClAhYAAERTAvaMM86Q++67z1RD6PKuPPnkk8MxNqBHAjbNkybS97wgYZWbGuwNRgUsACBeEechYStgScACAIBoSsDm5OSYSRnsZSBSmjqClRHp7nQRv4MVsCRgAQBxijgPTlfAOt4DtpZe/wAAIAoSsKGHo3FoGiKlI9Ah7f726EjA0oIAABCniPPgeAVsmjO9/v1UwAIAgAhwD+VBLS0t0tzc3H15y5Ytcuutt8q///3v4RwbIM2dwc+ZRzyS7Ep2ZAzZKUzCBQBIHMR5iBRXR4dIe3BHe2eGM73+aUEAAACiNgF76qmnygMPPGCW6+rqZN68eXLTTTeZ6//4xz8O9xiRwJr8X7QfsA+NjLSc1GBgXtvCoWkAgPhHnIdI8XQl+v0ejwSShjQ38B4jAQsAAKI2Abt69Wo56qijzPLjjz8uBQUFpjpCg/XbbrttuMeIBGZXwKa7nOkLpmhBAABIJMR5iHQC1vR/dWhHe3cC1ucT6ex0ZAwAACD+DSkBq4eleb1es6yHo+lsuW63Ww499FAToAPDpdnf/EX/V4cTsHWtdWJZlmPjAAAgEojzEOkEbLtDE3CpQHaw1ZRRV+fYOAAAQHwbUgJ22rRp8vTTT8vWrVvlxRdflOOPP95cX1lZKdmhQQwwXBWwDiZgc1Nzzbnf8ouv3efYOAAAiATiPESKp6npiwpYp2jrg64dDrQhAAAAUZWAXbx4sVx11VVSVFQkhxxyiBx22GHdVRIHHHDAcI8RCSwaWhCkJaVJqifVLNOGAAAQ74jzECnuKKiANfLyguckYAEAQJgMqdv91772NTnyyCNl+/btMnv27O7rv/zlL8vpp58+nONDgrNbEKS50xwdR156npQ3lsuO1h0ySSY5OhYAAMKJOA+O9IB10ogRIiUlJGABAEDYDHm6UZ2QQU+hdJZcIN5aEKi8tK4ELBWwAIAEQJyHROkB26MCtrbW2XEAAIC4NaQEbFNTk/zmN7+R5cuXm35ggUCgx+2bNm0arvEhwTX5mxxvQWBXwKraFgJzAEB8I85DxCtg05w90okWBAAAICoTsBdccIG8/vrrcs4550hhYaG4XK7hHxkSnmVZUVUBq7QFAQAA8Yw4D05UwDr6KSMBCwAAojEB+69//Uv+8Y9/yBFHHDH8IwK6NHU2SafVGR0J2K4KWFoQAADiHXEeIsXT1NTdAzbFyYGQgAUAAGHmHsqD8vLyZIQ2qwfCqLql2pwnu5Ml2ZXs6FiogAUAJAriPESCq6lJ3J2d0dUDlgQsAACIpgTsddddJ4sXL5bmrsOGgHCoaqky51kpWU4PRUakB3+IUgELAIh3xHmIBE9VMM6T5GQJJDu7o13sHQ4kYAEAQDS1ILjppptk48aNMmbMGCkqKpLkXkHT6tWrh2t8SGDVrdVRk4AdmT6yR1UuAADxijgPkeCp7oqpspyP82RkMM4Te0wAAADRkIA97bTThnscQL8VsJkpmSI9J2COuNGZo4Njauqq1gAAIE4R5yGiFbDRkIAdHYzzxB4TAABANCRglyxZMtzjAHZiV5uaCthWZ8eSn5lvziubKp0dCAAAYUach4SrgM0PxnlSSZwHAACiqAesqqurkz//+c9y9dVXS21tbfchadu2bRvO8SGBdVfAJmc6NgYrYElpaal01HWYyyRgAQCJgDgPEauAzXQuzgtYwTivpLVrT79+1juCMR8AAIDjFbBr166V+fPnS05OjhQXF8uFF15oZst98sknpaSkRB544IFhHSQSUzT0gPXV+GRZ8TLJnZhrLte21EpnoFOS3EP66gAAEPWI85AoFbBlPp/4li2TwNixYrlc4rIskZoakYICx8YEAADi05AqYBctWiTnnXeefPbZZ5KWltZ9/UknnSRvvPHGcI4PCcyugHV6Ei7vKK8Ujis0y5ZYUtNc4+h4AAAIJ+I8JEoFrBrn9UpRXp4E7M86bQgAAEC0JGDfe+89ueiii3a6fty4cVJeXj4c4wJ69oB1mNvllnRPulmuamaCBgBA/CLOQ6JUwIbyZ2QEF5iICwAAREsCNjU1VRoaGna6/tNPP5V8u4k9sAcsy+puQeBkD9hQdgKWPrAAgHhGnIdIcEdbAjY9GOdRAQsAAKImAfvVr35Vli5dKh1dTepdLpfpCfaTn/xEzjzzzOEeIxJQQ1uDtPnboqYCVpGABQAkAuI8hJ1lRU0LAlvAroAlAQsAAKIlAXvTTTdJY2OjqYJoaWmRY445RqZNmyZer1d+/etfD/8okXAqmirMeYo7RZI9yRINMpKCgXlVE4emAQDiF3Eews7nE3dbW3RWwNKCAAAAhMGQpnLXWXFfeuklefvtt+WDDz4wQfqBBx5oZswFhkN5Y3mPqtNoQAUsACAREOch7Lp6CQdSUsSdHB072mlBAAAAoioBGwgE5L777pMnn3xSiouLzWFpkydPloKCAtO3Uy8De6qiMVgBm5kUHYelKRKwAIB4R5yHiKio6J74akiH44VBgAQsAAAIo0HFPBp4a1+wCy64QLZt2yb77befzJo1S7Zs2SLnnXeenH766eEbKRKyAjbD09WPKwrYY6lq5tA0AED8Ic5DpCtgNQEbLbrHQgsCAADgdAWsVkS88cYbsnz5cjnuuON63PbKK6/IaaedJg888ICce+65wz1OJGgPWLvvajRIT6ICFgAQv4jz4EQFbLSgBQEAAIiaCtiHH35Yfvazn+0UlKsvfelL8tOf/lQefPDB4RwfElQ0V8CSgAUAxCPiPERMNFfAkoAFAABOJ2DXrl0rJ5xwQr+3n3jiiWayBmBPbW/cHrU9YGlBAACIR8R5iJjtwTjPnxk9cV53D9iGBpG2NqeHAwAAEjkBW1tbK2PGjOn3dr1tx44dwzEuJLit9VvNeVZylkRbC4K61jpp97c7PRwAAIYVcR4iZmswzuvMip44L5CaKlZSV3c2+sACAAAnE7B+v1+S7MCkDx6PRzo7O4djXEhwWxuCgbk3ySvRIs2dJh6XxyxXN1c7PRwAAIYVcR4inYD1e6MnzhOXS/wjRgSXScACAAAnJ+HS2XF1FtzU1NQ+b2/jcB0Mg8b2RlNlqrKSoqcywuVySV5qnlS3Vps+sGO9Y50eEgAAw4Y4DxFhWVFZAasCI0cGe8DSBxYAADiZgF24cOFu78PMuNhTpQ2l5tyb7JVUT98/Ap1gBSzJTsqWaqmWcl+5SIHTIwIAYPgQ5yEi6upEmpqirgI2YFnSlJkpKbpcXj64wwQBAACGMwF77733DubuwB71fy3IiK4Mp6/GJ41NjWZ5/db1csJe/U9UAgBArCHOQ0SUBne0+/Pyvui5GgXKfD5Jq6iQPM0Rf/aZdDUjAAAAGBbs3EXU9n8tzCyUaJOZGpytt6alxumhAAAAxB67/UBh9MV5yV0VuZ4a4jwAADC8SMAiaitgozEBqxNxqZpWAnMAAIAhT8AVhQnYzrRgnOcmAQsAAOIxAXvHHXdIUVGRpKWlySGHHCLvvvtuv/e9++675aijjpK8vDxzmj9//i7vj9itgB2bGX2TXKW70815TRuBOQAAA0Gch1ipgPWnB+M8KmABAEDcJWAfffRRWbRokSxZskRWr14ts2fPlgULFkhlP7OPvvbaa/LNb35TXn31VVmxYoVMmDBBjj/+eNm2bVvEx44wtyDIiL7APM3TVQFLCwIAAHaLOA/9VsCOjb4d7Z2pwclfScACAIC4S8DefPPNcuGFF8r5558vM2fOlDvvvFMyMjLknnvu6fP+Dz74oFxyySUyZ84cmTFjhvz5z3+WQCAgy5cvj/jYER6lDaVR34Kgtq3W6aEAABD1iPMQSxWwnV0VsO5a4jwAABBHCdj29nZZtWqVObyse0But7msVQ8D0dzcLB0dHTJiRN9zlba1tUlDQ0OPE6JbTPSApQIWAIBdIs5DzCVgu3rAUgELAADiKgFbXV0tfr9fxowZ0+N6vVxeXj6gdfzkJz+RsWPH9gjuQ11//fWSk5PTfdJD2RC96lvrxdfui94WBEzCBQDAgBDnYSeWJVJaGv2TcDU3a/bf6eEAAIA44ngLgj3xm9/8Rh555BF56qmnzMQOfbn66qulvr6++7S1a687orv/a15anmQkZ0i0TsLV1NkkzR0E5gAAhAtxXhyqrhZpbTWLnb0S89EgkJwslscTvFBR4fRwAABAHEly8slHjRolHo9HKnoFOHq5oKBgl4/93e9+ZwLzl19+Wfbff/9+75eammpOiK32AxNyorOCJdmVLEmuJOm0OqXMVybTRkxzekgAAEQl4jzspKv6VTT5Go3vm8slnZmZkqytLMrKRCZPdnpEAAAgTjhaAZuSkiJz587tMbGCPdHCYYcd1u/jbrjhBrnuuuvkhRdekIMOOihCo0UkK2AnZEdnAtblcklWUpZZ3tbAjMwAAPSHOA87sSuUo7hVhD8rGOfJNuI8AAAQJxWwatGiRbJw4UITYM+bN09uvfVWaWpqMrPlqnPPPVfGjRtnenyp3/72t7J48WJ56KGHpKioqLuHWFZWljkhtpU2lEZ1AlZlJWdJXUdd91gBAEDfiPMQawnYTvtzZlfrAgAAxEMC9qyzzpKqqioTbGuQPWfOHFPxYE/YUFJSYmbMtf3xj380s+p+7Wtf67GeJUuWyDXXXBPx8SNMFbBR2oJAdVfA+qiMAABgV4jzEGsJWCpgAQBAXCZg1WWXXWZOfXnttdd6XC4uLo7QqOBoD9goroDNTMo051TAAgCwe8R5iMkELBWwAAAgXnrAAv1VwCa3JEtpaalYliXRxpvkNedUwAIAAAw+AVuZlha1cV53CwIqYAEAQLxVwAJKg3C7Avbx/zwurjqXeMd6Ja8wT6KxApZJuAAAAAafgN3+r3/J9tdfl2yvVyQvuuI8WhAAAIBwIAGLqFHTUiMtnS1muWB0gTR7miWae8DSggAAAGCA/P7upOaIMWOkUKJTZ2ZwR7sZayAgEtKjGAAAYKiIKBA11lWtM+fjMsdJkjt69w1kJQcTsOWN5dIZ6HR6OAAAANFv40aRjg4JpKWJXytfo5Q/M1Msl8uMVaqrnR4OAACIEyRgETU+qvzInE/Pmy7RLMOTIR6XR/yWXyoaK5weDgAAQPT7KBjndey9t4gmOKOVxyP+UaOCy0zEBQAAhgkJWESNj6s+Nud75e4l0cztcsvo9NFmmYm4AAAABuDjYJzXsVd0x3nKX1AQXKAPLAAAGCYkYBF1FbB75+4t0W5MxhhzzkRcAAAAA6+AbdcK2ChHAhYAAAw3ErCICpZlxVQCtiAjGJgzERcAAMAgKmBjIAHbOSa4o50WBAAAYLiQgEVUqGyqlJqWGnGJS6blTJNoV5AZTMDSggAAAGA32ttFNmwILsZAApYKWAAAMNxIwCIq2NWvU0dMlbSkNImVFgRUwAIAAOzGp5+KdHaKZGeLv7BQol2nnYClAhYAAAyTpOFaETBQgUBASkpKui9PnDixewKufUfvK7GgMCP444EKWAAAgF3Hee6u9gMya5aIyyXRjgpYAAAw3EjAIuI0KF/63FLJzs+WhqoGWXzK4u4K2Fn5syTaWQFL3E3B4vHimmLzQ8PtppgcAABA47zSpUtlfHa2lDY0iCxeLEVdE3CZBGyUC1iWbHO5RFOwga1bNaNMnAcAAPYY0QQcocnX3IJcc65iqQLWV+OTf679p1ne6tsqW7ZscXpIAAAAUUOTr0W5uebcsCtg943+OK/M55Oaxx4zy+7GRtn6ySdODwkAAMQBErBwnGVZ3RWweR15Ulpaaq6LZvmj8s25X/zS0N7g9HAAAACiltVVAVs+alRMxHkFeXkiqalmOamiwunhAACAOEALAjiuvLlcGtoaxCUueX7981K+oVy8Y70SzZJcSZKelC4tnS2yvXm7zJbZTg8JAAAg6rhaW0U2bjTLHa+9Jtvr6iTbG91xnqHVu1VV4tm+3emRAACAOEAFLBz3ad2n5jwvJU9GFo4U78gYCMpFxJsaHGdFM5URAAAAfUneuFFcgYD409JkwtixUhgLyVfVNU4PFbAAAGAYkICF49bvWG/OR6aOlFiSnRrsa7a9icoIAACAviSvD8Z5HSNHirhcEjO6+tcmUQELAACGAQlYOO69ivfM+ejU0RJLclJzzPm2pm1ODwUAACAqpb0XjPPaRsdWnCc5wTgvaRtxHgAA2HMkYOGogBWQdyveNcsTMidILBmRPsKcb2nY4vRQAAAAolLaf/5jzlsnxFacJyOCcV7SFuI8AACw50jAwlGVrZXi6/CJN9kr+an5EpMJWB+BOQAAQG+ehgZJ3rJFLI9HWseOlVhMwOr4AQAA9hQJWDiqtLnUnB9acKi4Xe6YTMBubtgslmU5PRwAAICoklYajPPa9t9frNRUickK2LIykZYWp0cDAABiXGxlvBC3CdjDCg+TWJOXlmfOtYK3tqXW6eEAAABElfSuBGzrYbEX50l6ugRSUoLLmzY5PRoAABDjSMDCMf6AX7a1BCc2OKwg9gLzZE+yZCVlmeXPaz93ejgAAADRw7IkbevW2E3AulzSkZsbXP6cOA8AAOwZErBwzDbfNum0OmVk2kjZO3dviUU5ycEZcknAAgAAhNixQ5IaG8VKSZG2uXMlFnWSgAUAAMOEBCwcs7luc8z2f7XlpgQDcxKwAAAAITYH47y2OXPESk+XWNSRE9zRTgIWAADsqdjMeiEuFO8ojtn2A7bc5K4E7A4CcwAAgN4J2JbDD5dYRQUsAAAYLiRg4YjOQKdsbdga8wnYnJRgZcRnNZ85PRQAAIDoYFkixcEd7a2HHiqxigpYAAAwXEjAwhHbW7aL3/KbSawmZ0+WmK+ApQUBAACAkVxbK9LUJIGkJNOCIOYrYEtKRNranB4OAACIYSRg4YitzcHq1/EZ48XlckmsV8DWtNTIjpYdTg8HAADAcWlbg3Fe29ixIqmpEqv8GRkSyMgQCQS6K3oBAACGggQsHFHaXNqdgI1lKe4UyU/PN8sbd2x0ejgAAACOSysNxnmt42M7zhOXSzonTQou04YAAADsARKwiLjGjkYpby03yxMyJkism+QNBua0IQAAAAkvEOhOwLZMiP04r8NOwH5Gv38AADB0SXvwWGBIVlasFEssyU3LFa/HK6VdQbqlEzbEoCJvkaysXEkCFgAAJLyUdevEo/1SU1KkNT9fyrrivHExGud1FhUFF6iABQAAe4AELCLunfJ3zPnk3Mniq/HJsuJlIu0i3rFeySvMk1gzKZsKWAAAAJX2TjDOk0mTpKypSXzLlkmjiGR7vSJ5ebFbAUsCFgAA7AESsIi4FdtXdCdgpVLEO8orEsMTy2oFrCIBCwAAEl3aimCcJ5Mnm7NxXq80SOzqoAIWAAAMA3rAIqJ2tOyQj2s/NstFuV0BbYybkjPFnH9U8ZFs3rxZiouLJaCz5QIAACSSjg5Je/fd4LKduIxxnVOCcZ61ebNsWbeOOA8AAAwJCVhE1Jslb5r+r3kpeeJN9Uo8mJozVZJcSVLfXi/XvXWdLH1uqZSUlDg9LAAAgMh6/31xNzWJPzVVpKBA4oE/P1/8I0eKKxCQ5GuvldKlxHkAAGDwSMAiolZvX23OC9LiIyhXqZ5U2St3L7PcnN4s2fnZTg8JAAAg8lYH47w2Tb66XBIXXC5pnznTLI5tbJTx2cR5AABg8EjAIqLWlK8x5/lp+RJPZo4IBubljeVODwUAAMAZa4JxXnt+fMV5dgJWyonzAADA0JCAhTMJ2NT4CsxnjZhlzknAAgCAhBWvCdhZwTiPBCwAABgqErCI6ARcW+q3xGUClgpYAACQ0Px+kbVr4zIB22ZXwFZUiDABFwAAGAISsIiYDyo+MOfjs8abvqnxZJ8R+5jz+rZ6afG3OD0cAACAyPrsM5GWFgmkp0tnTo7Ek86iIgkkJ4t0dkpyXZ3TwwEAADEoyekBIPHaD8zM66oiiANWwJLS0lKznJ2cLQ0dDVLVWuX0sAAAAJxpPzBjhog7Pmo8ApYlZV1xXsHIkZJWXi4plZXS4fTAAABAzCEBi7AKBAJSUlJilt/87E1zPj5pvFiWJfHAV+OTZcXLRNpF8tLzTAK2uq3a6WEBAABENM7LffVVydWWU5MmxU2cV+bziW/ZMmkUkcbc3GACtqpKmpweGAAAiDkkYBFWGpQvfW6pZOdny/KNy0VcIus3rZfpY6dLXmGexAPvKK9Im8jI9pGyRbZIZWul00MCAACISJxXunSpjM/OltZnnjHXbSspkZS8PBE9xYFxXq80iEjryJHmsiZgAQAABis+jg9CVNPkq3e0V3wun7k8LnecxKMRySPMeVUbgTkAAEgMmnwtysmREfX15nLS2LESj1pGjPgiARsnFb4AACBySMAiIqqaqyQgAUlxpUimO1Pi0cjkYGXEjvYd0trZ6vRwAAAAIqOxUVJaW8VyuaQ5Tipfe2vNzRVxucTT2iqe7dudHg4AAIgxJGAREeWN5d1Voi6XS+JRujtdMpMzxRJL1u1Y5/RwAAAAIqM8GOe1ZWdLICk+O5xZ+rry881yyscfOz0cAAAQY0jAIuIJ2HilieWx3uBhd2uqgjMBAwAAJEoCtqWrT2rc6mqvkLqGOA8AAAwOCVhEREVjhTkfkRS/CVg1IXuCOV9VtcrpoQAAAERGRTDOa43T9gPdJgTjvLRVxHkAACDGErB33HGHFBUVSVpamhxyyCHy7rvv9nvfjz/+WM4880xzf602vPXWWyM6VuxZD1iVm5Qr8WxCTlcCtnKVWEzQAAAAsV4iqK5OqARsygcfiHR0OD0aAAAQQxxNwD766KOyaNEiWbJkiaxevVpmz54tCxYskMrKyj7v39zcLFOmTJHf/OY3UlBQEPHxYmha/a3S1NGUEAnYcd5x4hKXlDeXy9aGrU4PBwAARxHrJYBAQKSmxiy25eRIXBs1SvxpaeJubRWhDQEAAIiVBOzNN98sF154oZx//vkyc+ZMufPOOyUjI0PuueeePu9/8MEHy4033ihnn322pKamRny8GJod7TvMeYYrQ5LdyRLPkj3Jkp8WnKDh7ZK3nR4OAACOItaLf0k+n0hnpwTcbmnPypK45nJJm71j4G3iPAAAEAMJ2Pb2dlm1apXMnz//i8G43ebyihUrhu152trapKGhoccJkVXbXmvOczxxXhXRZWx6cIKGd7a+4/RQAACQeI71iPOcl1wbjPNasrP1DZZ419Y1EZe8Q5wHAAAGzrEoqbq6Wvx+v4wZM6bH9Xq5vGsm1eFw/fXXS05OTvdpQlfvJkS+AjbRErBvb6UyAgCQuCIR6xHnOS95RzDOa8mN7zZTtlY7AasVsPT7BwAAAxT3u6mvvvpqqa+v7z5t3UpfTqcSsLmexAjMC9MKzfkHFR+Ir83n9HAAAIhbxHnRk4Btjvf+r13aR48WKylJpKxMZMsWp4cDAABihGMJ2FGjRonH45GKiooe1+vl4Zx0QfuHZWdn9zghsmrbEqsFQVZylozLHCcBKyDvbut/pmcAAOJZJGI94rwoakGQIAlYKzlZ2mfNCl6gDQEAAIj2BGxKSorMnTtXli9f3n1dIBAwlw877DCnhoVh1u5vl/qO+oRKwKq5o+eac9oQAAASFbFeYki0CljVOjcY5zERFwAAiIkWBIsWLZK7775b7r//flm3bp1cfPHF0tTUZGbKVeeee645tCx0Moc1a9aYky5v27bNLH/++ecOvgrsyhbfFrHEkhRPimS4MiTRErBvlrzp9FAAAHAMsV58c+/YIZ6WloSqgFVtdgL2TeI8AAAwMEnioLPOOkuqqqpk8eLFZjKGOXPmyAsvvNA9WUNJSYmZLddWVlYmBxxwQPfl3/3ud+Z0zDHHyGuvvebIa8CubazfaM5HZYwSl8slicAKWDJZJpvlt0velrbONklNSnV6WAAARByxXnxL3hiM8yQnRwLJyZIIApYlmydMkNF64cMPRaqqRPLznR4WAACIco4mYNVll11mTn3pHWgXFRWJxWyjMZuAlQ5JCL4anzyz+RlJc6VJS2eL/Hfbf+XoSUc7PSwAABxBrJcACdhRoyRRlPl84nvgAWnKy5NMbb+gn+Gvf93pYQEAgCjnaAsCJFACNj1xAnOVnZ8tE7MmmuVXN7/q9HAAAADCl4AdOVISyTivV/yTJgUvvEqcBwAAdo8ELCJXAZtgxmeMN+evFL/i9FAAAACGXSJWwNpaxgfjPHmFOA8AAOweCViEjR5CSAJWZMXWFdLc0ez0cAAAAMKTgE3AHqht48eLpf2LN2zQ5sVODwcAAEQ5ErAImzJfmTR1NolLXDIifYQkmtzkXCnMKJSOQIe8s/Udp4cDAAAwfFpbJWnr1oStgA2kpkr7vvsGL9CGAAAA7AYJWITNR5UfmfPclFzxuD2SaFwulxxWeJhZfmUzh6cBAIA4sn69uAIB8aemimRmSiJqPfTQ4AJtCAAAwG6QgEXYfFj5oTkflZp4VRG2wwpIwAIAgDj0YTDO69DqV5dLElHr4YcHF0jAAgCA3SABi7AnYEemJNbMuDYrYEmRVWSWV5atlB3NO5weEgAAwLAmYNtHJmacF9C5DgoLxUpKEikulsDnnzs9JAAAEMVIwCJsPqzoSsCmJmZg7qvxyaPvPSp5KXnit/zy1//81ekhAQAADG8FbIImYMt8Pqm/+25pGzPGXK574AGnhwQAAKIYCViERWegUz6p+kQSvQWBd5RXZo6ZaZb/vfXfTg8HAABgeHwU7PXfnoATcNnGeb2S1jURV8a/ifMAAED/SMAiLD6v/Vza/G2SnpQuOck5ksj2GbWPOX+t9DVp7Wx1ejgAAAB7ZscOkdLShG5B0G3GDHOW+t57IlVVTo8GAABEKRKwCGv7gb1y9hJXgk7MYBvrHSuZSZnS1NnEZFwAACBuql87x44VKzVVElpurrTl54srEBB57jmnRwMAAKIUCViEdQKuGXnBqoBEpgnoqVlTzfKT656U4uLi7lNAg3UAAIBYnICrq/oz0TVPDcZ51pPEeQAAoG9J/VwP7JGPKoOVEdPzpktDQ4MkOk3Arq1bK0+ve1o6izsld3SuNFQ1yOJTFktRUZHTwwMAABh8Anb6dKdHEjUJ2Lz//EfkpZek7Je/lLEjR0qpxr+LifMAAEAQFbAIawWsJmAhMi5jnGSnZEtNa400ZTVJbkGuZOdnOz0sAACAISdgO0jAGh0jR0rHpEniam+XabW1UpSbK+OzifMAAMAXSMBi2DW1N8nG2o1mee/cvZ0eTlTwuDzypfFfMsuf+j51ejgAAABDY1ndPWDb9ybOM1wuaf6f/zGLmZ8S5wEAgJ2RgMWw+6TqE7HEkvyMfMlPz3d6OFHjjKlnmPP1Deulw9/h9HAAAAAGr7RUpL5eJClJOrp6n0Kk8YxgnJexaZNIY6PTwwEAAFGGBCzC1n5gvzH7OT2UqHJE4REyMWuitAfa5aOqYOUIAABALLYfEG0/kJLi9GiiRsc++0jrAQeISyfeev99p4cDAACiDAlYDLs15WvM+X6jScCGcrvccvbeZ5vl1WWrnR4OAADA4K0JxnmyH3Feb43/+7/BhdWrg60aAAAAuiTZC8BweWXzK+b8iAlHOD2UqGEFLCktLZUjMo4Qt7il1FcqVa1VTg8LAABgcF4JxnlyBHGeLWBZUlZaKu45cyQvJUU8dXWSVlIirU4PDAAARA0SsBhW5Y3l8nHVx+ISlxw3+ThprKQHlvLV+GRZ8TKRdpGJ6ROluLVYPqqnDQEAAIghLS0ib70VXJ4/3+nRRI0yn098y5aJRr07pk6VUevWifejj0jAAgCAbrQgwLBavmm5OT+g8AAZlTHK6eFEFe8or3hHemV6xvTuybiaO5qdHhYAAMDAvP22SFubyLhxwR6w6DbO65VCr1dq9967ezIuTxVHOwEAgCASsBhWL29+2ZzPn0xVRH8KUwolLy3PTMb1fPHzTg8HAABgYF5++YvqV5fL6dFEpdYRI0TGjzeTcWX9/e9ODwcAAEQJErAYNpZlycubgoH5lyZ/SYqLi03fU70eX3C5XHJg4YFm+eFPH3Z6OAAAAAOzPHikU+BLxHm7NHeuOct65BGRQMDp0QAAgChAAhbD5tOaT6W0oVRSPCkyUSbK0ueWyrKXl4nP53N6aFHngIIDzGRca6rXyAflHzg9HAAAgF2rrRVZtcosbps+XUqXLpXty4jz+jRrlvhTUyW5tFTkpZecHg0AAIgCJGAxbF7aGAww5+bPlZrymu6ep9hZZkqmTM2aapZ/99rvJEB1BAAAiGIBrX61LGnfay/Z0tHR3fMUfUhOlsYZM8xi0y23EOcBAAASsBg+z338XHChU6h8HYAprinm/NENj8r6jeudHg4AAEC/Gp95xpy3ZmZS+ToAGydPNucZ//63bFu50unhAAAAh5GAxbBoam+SFeUrzPKsCbOofB2AwqRC8Xq80iEd8lxxV/IaAAAg2vj9kvHqq2Yxe8YMKl8HoDkvT5pGjxaXZTEZFwAAIAGL4XHvmnvF1+GTnOQcKfQWOj2cmJmMa3rGdLPMZFwAACBqPfmkJJWViT8tTWRK8Age7F7N9GCc52UyLgAAEh4JWAyJ9rLS2W/19Pmmz+WmFTeZ6w/MO1DcLj5WAzUtfZqZjOuD6g9kTfkap4cDAADQI84r3rxZrBtuMNf7Zs82/U0xMPVFRWYyrqRt25iMCwCABJfk9AAQm0pKSmTpc0slOz9b1pSukeKmYhmZNlJm5sx0emgxJd2TLlO9U+Uz32dy16q75A8n/8HpIQEAgASncV7p0qUyPjtbfBs2iGvlSgmkpUnD/vtLrtODiyFWUpI07bOPZK9ZI/KnP4ksWOD0kAAAgEMoVcSQafI1Z0yOfNL5ibl87oxzJclNTn+w9s3Z15z/be3fTC9dAAAAp2nytSg3V6auW2cuN3796xLIyHB6WDHHt28wzpNnnxXZvt3p4QAAAIeQgMUe2bhjo1S1VUl6UrqcM/0cp4cTkyZkTJAib5H42n3y6MePOj0cAACAoO3bJWPLFrHcbmm44AKnRxOTOkaOlNaDDjITmcm99zo9HAAA4BASsBgyv+WXf2/8t1n+373/V/LS8pweUsxOxnXW3meZ5Tveu0Msy3J6SAAAINFpPPLii2ax6ZRTpHPiRKdHFLN8Z58dXNA2BJ2dTg8HAAA4gAQshmxt3Vqpaq6SNE+aXL7/5U4PJ6Z9Y9o3TBXx6u2r5fUtrzs9HAAAkOAyPvtMZMsWCSQlyY4f/cjp4cS05pNPFsnP1+a6Ik884fRwAACAA0jAYkiqW6rlP9X/McuHjzxcfFU+KS0tpXpziEakjZCFsxea5ZtW3OT0cAAAQAJzNTfLiDffNMt1Bx0kWyyLOG8PWGlpIpdcErxw003B6mIAAJBQSMBiSG58/0ZpD7RLYVahTOiYIMveWCbLXl4mPp/P6aHFHCsQ/FHz9QlfF5e45PlPn5f11eudHhYAAEhQOX/4gyQ1Nork5sr6vfYS37Jlsn0Zcd5QBLqS1yVf+YpYKSki770n8tZbTg8LAABEGAlYDNp7296Txz57zCyfMO0Ecbvc4h3lFe9Ir9NDi0m+Gp9JYD+77lkZnzzeXHfLilucHhYAAEhEGzdKzt13B5cXLDAtCMZ5vVLoJc4bijKfzySwA3/7m1QUFX1RBQsAABIKCVgMSsAKyPdf+L5YYsmM7BkyMYcJGYaDJrBzC3Jl3ph55vL9H9wvpfWlTg8LAAAkmkWLxNXeLi066db06U6PJi5oArsoN1c65gXjPOvZZyXw0UdODwsAAEQQCVgMyt/W/k3+U/ofyUzKlCPyj3B6OHHH2+SVEa4R0uZvk8uevczp4QAAgETywgsizz4rVlKS1B5zjIjL5fSI4sqW5GQpHztWXJYlbd/7Hr1gAQBIICRgMWD1rfXyk5d/YpbPKTpHMj2ZTg8p7rhcLjliRDCx/cymZ+T14tedHhIAAEgEbW1iXXGFWSw74wxpz8tzekRxqe7ww8XyeCT97bdFHn/c6eEAAIAIIQGLAbvixSukvLFcst3ZUvlZJRMxhMmolFGyX85+ZvnSf14qHf4Op4cEAADi3ZIl4tqwQdrT0uTdtjbivDBp93ql7qCDgheuvFJEJzsDAABxjwQsBuSZ9c/IfWvuE5e4ZMG4BZIzMsfpIcW1w/MPl7zUPPm46mO57o3rnB4OAACIZ1qNecMNZrFu/nzJHzHC6RHFtYaDDpIO7bG7bZvID39IKwIAABIACVjsVlVTlXz3+e+a5e/u+10ZmzHW6SHFvTRPmvz84J+bZU3A3vHuHU4PCQAAxCOtwFy40CQBG888U5qnTnV6RHHP9NhdujR44a67TPUxAACIbyRgsUvNHc3ytce+JpVNlbLv6H3lyjlXOj2khHHm1DNl8dGLzfJl/7pM7l9zv9NDAgAA8aSjQ+Scc0Q2bhSZMEFqFgfjDoRfi05y9vvfBy9cd53IjTdSCQsAQBwjAYt+tXS0yKmPnCpvbHlDvMleueGQG6Rqe5VYBIdhZwUsKS0tlfOKzpPz9jnPXHfeM+fJOU+dIzXNNd33CwQCUlxc3H3SywAAALvV2Sny7W+LPP20WCkpsv3GG2VrQwNxXgQErGCcV3zyybLjqquCV/74xyKnnhpsS2DfjzgPAIC4keT0ABCdtOL1W09+S17e9LKke9LlqLSj5MVPX5Rt67eJd6zX6eHFPV+NT5YVL5NxU8aJVW7JtyZ9Sx4ueVj+tvZv8q9P/yUXzLxArvrSVdJY1ShLn1sq2fnZ0lDVIItPWSxFRUVODx8AAESz+nqxvvMdcT3xhASSkuSTo4+WrBUrZPu2bZLtJc4LtzKfT3zLlomMGycf1tXJhO99T4r+8hdxPfecBF57TRrOP1+yf/ITKWlvl9KlS2V8draUNjSILCbOAwAgVlEBix50z/pdb9wlM38/0yRfPeKReZ3zZEzWGMktyBXvSILySPGO8ppt7va4pa2sTY4JHCPZki01rTXy29W/lQm3TJAfvfUjqcuok+wx2SYJCwAAsKs4r/yhh6Rz5sxg8tXlkhXz5klgwgQpys2VQpKvETPO6zXb3O12y/rqavn3scdKXV6euH0+yb3tNnEVFUn+5ZfLXtXVUuT1miQsAACIXVTAwtDDzTThuuTlJbKifIW5LsfKkWPyj5GRgZFODy/haTLW2+aVCSkTpCGnQd4ufluq2qrk8Y2Pm9tfqnxJ9srcS+bXzJdJkyaJy+VyesgAACCarFghrb/4hRS88oq52JiZKeXHHCPWmDFOjyzhaTK2weuVkrFjJbepSVrfflvStm+XzOefl0y9w/LlMmLaNGk66iiRSZNEiPMAAIg5JGATvApi1YZV8vSmp+WJjU/Ihh0bzPVuccthEw6TqY1TxZPsEWlzeqSweVwemV0wWyZaE+WoqUfJUxufkic+f0Ia2xvl/fb35ZTnT5Git4rkpGknyVGTjpKx3rEyOnO0uCyXlG0vM718R6SNkKJJRabiAgAAxG+cV7p2rWQ+95xkPfGEpH7wgWToTneXS1wHHihr99lHspKTnR4mQmlsNmuWlI8bJynz50vWk09K5qOPiqe5WbLXrpXsr31NZOxYkZNOEtFJvMaPFxkzRgJut5SVlYmVmSn+kSNl4uTJxHkAAESZqEjA3nHHHXLjjTdKeXm5zJ49W26//XaZN29ev/d/7LHH5Je//KVpRr/XXnvJb3/7WzlJA5EYDpDXbVwn62rXSVVLlfg6fNLW2SZZyVmSnZotc6fNlakjpoo31bvLdXyy8RMpbyqXzkCnpLhTzGNHpo00FZF2ENbub5ePKz+W17e8Lg+veVjeq3hPLAlOtpDqTpVTxp5iknQTJ06Ukg9LIrYNMEiWSEF7gVw84WLJDeRKTWqNrC5ZLVuatkhxXbH8YeUfzKkvmmAfmz5WDh17qJw460Q5rug4KcotiuqqWf18l5R88XnUz2foD4vQ23vfBgBwFnFeQLZ++qkkrV8vnvJySfL5xGptNckyy+sVf2GhFBxxhLjz8na9nsZG2f7f/0qgo0Os5GRxZWcHk21FITtVdWKt9etF3nxT2h56SMa//ba4uybV0l6vlQsWSMfIkTJh8mQJhPxdRfRN0rUpN1fk//5PxmVmyuQdO6Rx1SrJKCkRd1mZyJ//HDx10Xd/vP1Yl0vaCwqkc948yTjhBHEfd5zI3ntHddUscR4AIBE4noB99NFHZdGiRXLnnXfKIYccIrfeeqssWLBANmzYIKNHj97p/u+8845885vflOuvv16+8pWvyEMPPSSnnXaarF69Wvbdd1+JBQErIBtrN8rbW982idDXN70umxs29/+A4JFiMiJ1hEz0TpSxmWNlVM4oSU1KlermapNw27xjs9S11e30UO3hOjZrrKSlpJlEa0l9iUnChhrvHS8T/BMkvz1fZKuIjB32l4wwTdIl7WImRZsxboaMaR8jXxn3FSmWYnl126vyef3nst23XSpbK8UKWCY677A6JCABKW0pNe0L7BYG+pk6bspxcmzRsXLkxCNNQjYtKW2XY9BEf3ljuZTUlcgHmz+QssYyaexoNLdpMnfWhFkyOW+yWdf47PGS4kkZ0mv1B/zy/ob35Vcv/EpSclKksa5Rzj38XMkfnS9+yy+tna2yadsmeXzV4+Z5zzjgDJlVNMs876ScSeZ7AgBwRiLGeaIJzy1bRN5+W+T116Xz9ddl4mefiasrEdoff26udEyYIP5x40xyNjMvT1x1dSLFxWZ97qoqGdfrMVr5GCgsFHdGRvB5t20TaWkxt6XbdyookE0TJ8rm0aOlNi1Npns8MiE8rxzDPEmXRlVmUrRp06Ry5EjZ/tWvypStWyXj1VcldcMGCZSVSXJFhWkl5tG4v7PTJNy1fYE880zwpDFbfr54jj1WXMceK3L00SJTpojoZ2ZX/H6RykqTqK9es8bsPDCfR8sSl9stOTNmiHvyZBGdFGziRJHUIcZbWqm9Zo3UXnedFCYnS1Vjo1See64U5Oeb26S1VWo2bZKOxx4z1ds1p58u+fvsE3xePaV3f9IBAIhqjidgb775Zrnwwgvl/PPPN5c1QP/HP/4h99xzj/z0pz/d6f7Lli2TE044QX70ox+Zy9ddd5289NJL8vvf/9481ml/eO8PsmbLmu7LOdk5JinU0tEiVc1Vss23TT4o/0B87b6dHpvuSpespCzJ9eZKm69NOl2d0uZvE5/fJ+3SLrVttea0pvqL9femSTPLb5kkmybb/OKXrY2aVf2CPodO5pTfkS97j9lbZu4zM1jtmiO0G4ixvrCh75cmZe8qvsskZSVF5PAph8u2im0mQWvulyoybto42bB2g9S566S8pVy2tW2TOqtOyprK5MEPHzSn7vWneCXdky5ul1uSXEnicXvMst/lNy0P6lrrzM6EfoV8TF3ikjEZY2RS3iTTFiEjOcOsT1sqtDS1mO+IJlKtZEuaO5ulqb1JGtoapKKpwuxk6H6ehuDZv178V79P+9Zbb4m89cVlfT5Nxk7ODSaDR2WMMs+rr8V+TZpM1qpzHYN9avQ1SrI7WfJH5Jskri4nuZP6PNnrATA8NJmgO1j0u2+fdGdM93LXbbpDsbWjVSpqKqQ90G4uHzT5ILlw7oVOvwTEaZwX+Otfxffmm92Xs3OCcZ60tYlUVYlodeLatSI7dnTfx9792J6WJp1ZWZKRmyvV7e2S2tkpemxT+44dktLSIp66OnOSDz/s//lTUqTT7RaP3x9MtgUC4taka4jO9HRpzM6WLaNHS+pee8mM/faTspISyQ+GAoilvrC9k7J33mlCnCwR2efQQ+W9bdtketf9dIqu/cePl3c3bJBR9fWSVF4uWdu2Sd6OHZKkn83HHgueuph2BZmZpu2B5fGIJCWZ5SRNejY2itTVicvvN9W1O+8q2ZlJ8uo8BOPGiWRliXg8Yrnd0tjaatbram2VTE3eNjeLNDWJaCV4ZaVJ8k70+2Vi13oK9X//6hnn5XedDI3zQmkPY03E2slgvayvR6tk7XNNJus49Huq1eetrVLv84kkJ0v2qFHi1uSxtuPQk24HPdnbxD5RdQsMH91hqP/W6HdTz3sv25c7OiSg39eKCnG1t5uTd/p0cV95pdOvAIi9BGx7e7usWrVKrr766u7r9JCS+fPny4oVwYmgetPrtZIilFZSPP30033ev62tzZxs9fX15ryhITSkGT73vn2vrKxYudv7aTInK5AlBakFklqdKmPyxkhaZ5pIskhhQaFsL9tulqVD7ywycsJI2bRpkzR5mqTF3yItbS2SkZ0hbbVtku5Ol7T2NBmph6FNmCjbPws+dsykMbLp802yo3mHSGfw3S4cXSgtW1ska3SWWXf79napSK2Q2rLaHs+nCSeu++K6aBjDoK4LiLQ1t0lHW4fUltb2uF97RbtJgE7pmCJTkqdI/sR8+Xjjx1LeXi71KfXic/ukI9Ahvlaf6H+7kxpIlQxPhqRb6eZznZmdKU11TWbHQaurVVrcLab6ury1XMpry4f83UqWZElPThfxi+Sk5UhqSqpJemrrDE/AI1WNVdLR0SEd/g4JJAfEF/CZHRFlrWVSVlUm78g7Q35uALFj3fZ1ctZeZ4Vl3XbsoAliJGac1/Tgg5L54ovdl/v7KxnweKTO65XmMWPko9RUSS8oMNWnWS6X7F1YKKu3bzdJNHs5u7NTrOZmGdnUJJOSk2Xbjh3S2doqTR6PtGdkSE5hoXzQ0iITcnNNVaR5bEGBrNu0SazaWrOfVY9bGVVQICtbW2VqVlbwfn6/dFRUyMbaWvMY+7Gu1NS4uy4axhCJ65q7Wg742tqkuaNDPqut7XG/dW1tkpWWJo1FRZJVVCTTR4+W4k8+Ee/27TK2vl5GNTaKR78zmgTV0y7ov3RNmvTPzJTkvDyp1MS/yyWdliUpjY2S19FhzpM1WaJJXj2tXNnvunYVVbYnJYkrI0M69N/X3FxJ0qSoJoeTk6UlKUkC1dXSrsmYjg7JtixJ9fkkWRM0FRXB03//K4Nhp1ODx24BiGZa4W+r2WcfSf3Od8LyPMR5iOsEbHV1tfj9fhnTa/ZVvbxe+1f1QfuH9XV/vb4vegjbtddeu9P1EyY4e/BVh3TIjq7/gFjW1vVfuD/LHV3/qYYeNSEA8IU35U3J+b4e0hE+Pp9PcnLC+xzxIJHjPFO5o9WselJaFbsnPvhgWIYFDFp7e/AUUtUdFtq/2N5xotWpANCXdetEwhyDEechblsQhJtWXYRWUmgT99raWlMtOhyTDuleEg3yt27dKtnZevAPIont7yy2v7PY/s5i+yfe9teKCA3Kx+os5IgKxHnxje3vLLa/s9j+zmL7O4s4D/HI0QTsqFGjxOPxSIUeNhJCLxcUFPT5GL1+MPdPTU01p1C5OqvoMNN/FPiH2Tlsf2ex/Z3F9ncW2z+xtj8VEQNHnIfhwvZ3FtvfWWx/Z7H9nUWch3jiaDfxlJQUmTt3rixfvrxH5YJePuyww/p8jF4fen+lkzP0d38AAABEHnEeAAAAECUtCPSwsYULF8pBBx0k8+bNk1tvvVWampq6Z8s999xzZdy4cabHl/rBD34gxxxzjNx0001y8sknyyOPPCIrV66Uu+66y+FXAgAAgFDEeQAAAEAUJGDPOussqaqqksWLF5sJFubMmSMvvPBC9wQMJSUlZsZc2+GHHy4PPfSQ/OIXv5Cf/exnstdee5mZcffdd19Hxq+HvS1ZsmSnw98QGWx/Z7H9ncX2dxbb31ls/9hAnIc9wfZ3FtvfWWx/Z7H9ncX2RzxyWdppGAAAAAAAAAAQXz1gAQAAAAAAACCekYAFAAAAAAAAgDAhAQsAAAAAAAAAYUICFgAAAAAAAADChATsMCoqKhKXy9Xj9Jvf/MbpYcWtO+64w2zztLQ0OeSQQ+Tdd991ekgJ4Zprrtnpcz5jxgynhxW33njjDTnllFNk7NixZlvrbOChdB5FnV28sLBQ0tPTZf78+fLZZ585Nt5E2/7nnXfeTt+HE044wbHxxpvrr79eDj74YPF6vTJ69Gg57bTTZMOGDT3u09raKpdeeqmMHDlSsrKy5Mwzz5SKigrHxoz4RZwXWcR5ziDOizxiPWcR6zmHOA+JhgTsMFu6dKls3769+3T55Zc7PaS49Oijj8qiRYtkyZIlsnr1apk9e7YsWLBAKisrnR5aQpg1a1aPz/lbb73l9JDiVlNTk/l86w/Rvtxwww1y2223yZ133in//e9/JTMz03wXNFhB+Le/0iA89Pvw8MMPR3SM8ez11183Qfd//vMfeemll6Sjo0OOP/54877YrrzySnnuuefkscceM/cvKyuTM844w9FxI34R50UGcZ6ziPMii1jPWcR6ziHOQ8KxMGwmTZpk3XLLLU4PIyHMmzfPuvTSS7sv+/1+a+zYsdb111/v6LgSwZIlS6zZs2c7PYyEpP9kP/XUU92XA4GAVVBQYN14443d19XV1VmpqanWww8/7NAoE2f7q4ULF1qnnnqqY2NKNJWVleZ9eP3117s/78nJydZjjz3WfZ9169aZ+6xYscLBkSIeEedFDnGec4jznEWs5yxiPWcR5yHeUQE7zPRQNC2PP+CAA+TGG2+Uzs5Op4cUd9rb22XVqlXm8Bub2+02l1esWOHo2BKFHvakh+lMmTJFvvWtb0lJSYnTQ0pImzdvlvLy8h7fhZycHHOoJt+FyHnttdfMYVPTp0+Xiy++WGpqapweUtyqr6835yNGjDDn+rdAqyVCvwN6qOzEiRP5DiAsiPPCjzjPecR50YNYLzoQ60UGcR7iXZLTA4gn3//+9+XAAw80/2C88847cvXVV5tDFG6++WanhxZXqqurxe/3y5gxY3pcr5fXr1/v2LgShQZ89913nwlA9PN97bXXylFHHSUfffSR6d+DyNGAXPX1XbBvQ3jpIWl6GNTkyZNl48aN8rOf/UxOPPFEExR6PB6nhxdXAoGAXHHFFXLEEUfIvvvua67Tz3lKSork5ub2uC/fAYQDcV5kEOc5izg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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_t = numeric_train[nan_columns[11]]\n",
    "\n",
    "test_density_fillna(x_t, [\n",
    "    lambda: 0,\n",
    "    lambda: x_t.mean(),\n",
    "    lambda: x_t.median()\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule[nan_columns[11]] = x_t.median()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_t = numeric_train[nan_columns[12]]\n",
    "\n",
    "test_density_fillna(x_t, [\n",
    "    lambda: 0,\n",
    "    lambda: x_t.mean(),\n",
    "    lambda: x_t.median()\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule[nan_columns[12]] = x_t.median()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_t = numeric_train[nan_columns[13]]\n",
    "\n",
    "test_density_fillna(x_t, [\n",
    "    lambda: 0,\n",
    "    lambda: x_t.mean(),\n",
    "    lambda: x_t.median()\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule[nan_columns[13]] = x_t.median()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_t = numeric_train[nan_columns[14]]\n",
    "\n",
    "test_density_fillna(x_t, [\n",
    "    lambda: 0,\n",
    "    lambda: x_t.mean(),\n",
    "    lambda: x_t.median()\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule[nan_columns[14]] = x_t.median()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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fsq2sstWSia1VPlpCzxJzVo0YfE0sEdaeqgRrH2AVvZZItYriLVu2OMm81ljSzKa62efCWKBoicnWKkEted6WPrSWRA6+bhbQW5LZqjiCgoldC8BbsmR96HtrCWGryrDPnN2X3eewYcOcy1pLKtu0M2t9YWNtLaFniSurjAj2ArYfNHafdv3g/Vmy0JKIoYdgEjPIXi+bGthyinhrnz0bh72nLT9Ttmpzy89ekCXFrS9y6DTDvb1+loy1x2n5txGcGrin987Gac/fKktbjtOSfC3HaT9yWiboW/5tWuLZqlxsTKGvtfX1be29awv7DLR8L4Lsb2pvPyDt8tb+loI7CoK3Dx7v7rqhjxMJ92nVzaFV/PY3Zz/yQhfrAgBETvWrzf5qrfVOsAJ2TyyZarNbLGazeCF0h53FFsEWXEF22s4PZTtF9xbD2He1xQ7Bw+4WTrXqWtvxbfGZJYdb+4631lCWbA29v2AcE9ouoDUWC+5prBbDWHGH/Waw6wXXVmi5roBVG4c+fsvLjd1P6HVaW8vCKnftMouZrHjA4uiWLAFs8aTFRqH3Z4tm7u354mu0IAAARDVLTlmAYknY9rBp/5YQtT6OLRdACrIkWXDhKwu+bA+0TbWx6c02HTk4ddp6UbW2B7u9Y2ore1yr7LPVw1sTTBwFWdsE62cZKjjtaV9ZMtXaHlhC1Pbmt+app55yKhuskjOUVTm0hVUyWvLW3g87WBWEVVJYsjVYPRpkvUN/8YtfOAG8JYTt/bPKC6tSbMkSkUOGDNnr41uVnvWRDVbm2efA+mdZNbRVgranysKub0kk+9xZVYMFr/Z+2ucqdAG1IEuUW+LZbmeVvy2rDKzXmp1n47G2A/ZaWSLRXofg/dmOhGCSN8h+NIQuwmZ/R629Ri3Zfdr925haW7CrtaSoJRhter5N62/52TTtrVIJVqS29jcXOk77IRFaDR2qIxXzljy252HTKK0XsX3e7d8Qe+1be+/awj5D9oPGEsKhbQjsNbN/l6wyd2+337hx4y7nB9sDBG8fnN4YPL/ldUMfx837DB63tlPMXp+99cQFAHQtm4Zu/zaHLrzY3u94S+BZKxr7LrWdnhZjt5e1v2oZ67RkSdXQGSv2vRQaCwVZktKua2OxFgO2xoG1XgplO3ODbcRaaq3lTtCGDRuc7/g9jdXu1+JTa8Fk34v2utjiuS132Fp8HZr0bu252I7jYIGGsXi8JYtJrcrYCg4sprfHD8Zaoc/X4r6FCxfuEv91ZFHd7ooELAAgallFle1ZD22y3xYW5FkFo01xsgBrdwlYS7yFBi3f/va3naSLTTuy3oQ2/SaYGAi93u5YAGUBYmgSKjhNKbh3uy3scS0QastjGqvYa3ndtiY/98YCUnsNrapzd6x62IJIm7JkrQosaWoBXmt72HdXiRBaOWx9Xi3gt763FgiGJrrt/bG+qJZ4syDTHqO1xQWsKtb6hlric28s0Ax9/ez+7XGsCtkSo8Eg2pKYVg3dMoEafG9tmr9Nq/7tb3/rVK0GBSupW2NtB+x1s8+qTdmznqehlSS2urxVndxxxx3NqgpDF5CwRGXoYlLGpgGGJtGtOjW0b+6ePntWAWvPubVkamssWW4JRlsgozWhr1/o+2x/L/ba2OcnlE3BsyTwnhLGNk6btm5VMm358WefBXteoVWwLf827bW2fnPW7zWUvdah/Zvbw5LwZsGCBc40zCA7bc8/ePmebm/JdKsSD62m+eSTT5rdv/1ws78Tu1/7zAbZjzn7NzT0PDfv0350JyYmtpqstX+3O5I4BwCEh+1AtOSk7Qy2WK011sc0GPu0xr4zLLaxhTDte90SnlZtGdwpaQlGi+Us1gmy09Z3PzTumT9//l773ttOU5vxsrdCCYtLrJWTXdcKGD766KNdrmNrNdisOIsR2lNwYRWjFpe0XMAyyH6TWDwUjJuNFX60xmaK7O35WAwYep3WYiKLYYLXsYIKi6FbVtNaLBbcYdyRhXQRQAsCAEDUeuKJJ5wk7N6mNrVkQaBVWLUl4dQySLQpUsGptFbRackEq4xruaq6sdVdW7LkbZAlfOy0JRza8xwssWHBoPXbasmSQcFFisLNKgNsZVpLrO0pyWVJFwuKLYF94403OsnMPVUH7I295raQmU39Dk08BtljWZLO9uhb8tSqQVt64YUXnOn7LROmbRFsBRCsALCg1ALc+++/v9k0a6ugsOSUtREIvX7LVgK7W33WBINcq/q1qWaWdA7trWn32fL+/va3vzXr8RvckRB6sP7BxpJ8Vkkd7Ou6N9aTzB7T/oZaPq6dbrkzwyqGLWFuVcm7q1i1z75NN7T3NLSS1H4AWLuJ4Otn7LNtP3imTJmyx4oLey72Glilakt2Hy1XOLbkXugiXvaZtZ7PlhgMjru119qmS7aWLLQfLm1p82GfP0vm299RKDttLSEs2R+aKLf7tJ7LQbYAmz3P0MX+7DNoVdHWazc4jd8qo+19t4pwe0+CrHrfduaEVsi7eZ+2M8cS0VYlHvr62VRTOy+4IBoAxLrigmJtyd/SJQd7rI6wHZ02k2F3baGMXWYLKFocY3Gb/dtu33H2nWYsgWuzzCwGsKnwtnPXZpoEWSz36KOPOrexnbLW9sr60Vv/URNcpMpYq5pgqyWLlex7piMtgux2ltQNzkKyHY6t9f23VgI2xd+en1XxWlxuC4Ttbp0Fu44tzHraaac5cUhwrMZO2+8Mi8+sfZd9X9rOYVvQy9qlhZPFRfZ8LYazWV72/d5yMV97X6ywwWaf2eu/Zs0aJ+ltBQIte/Vj96iABQBEHZsiY0kmq6YMJkWCrQKCLHFjQZmdbz/aQ6e02nR2S+7sbvGb0McJbUFgiQULUIKL9Vgi0AJCS/jZnnBL9FmFliVfLBix6rvQhKslwqxq0vbiW9LBgjq7nk2Vb09llwWjVhlpiSmbMmQLC9lYrWLAqvQsMdrRijyrXGuZ2LJA0pJMttf+6KOPbjrfTltlggWbe2JBqgXC1ge2s1gi0BK69hmwqonQCmJLWlnwasmxE088sdnUbkteWU9cq8q0hKaturs39vztfTOWaLKkkb3ewcprqziwRSYsKLWEqQWolny3HxNWEWI/KIKfl6OOOsq5riXsBwwY4HwWLYjdG6vMtNfPEoI2/uBiRPYZsM+lBctWDWKJeftB1JZFz+wHg7UFsM+NtaQIfW/3VFlqVc/2g8o+Z/YaWNLMnoMlMK3dRfBHkbGpfvZZ3F27DGMJSEvM2/R+26lhP0ysUtz+dqxS16phjD0vu479gAu2hNgdey6WrLYfBvaZtvfZdnTYjzf7XFgFvCUFQ39Y2Gthr4n9W2E/QOzfkNCWD/Za2+fNPu/22bHXzf4dadnX2dhnwf4+9rYQl+24sCSx/Y1YwtKevyXu7d8dS1yHtvWw18MS36HtI+zfEbudvR9WlWIVLI899pjz3rSs1LX7s3Hba2Pvk02DtB0Y9tqEVoK7fZ+2Q8uqpSw5/bOf/cw5z/6W7LVorc80AMQai61mnjmz6x7wkMBjtpfFxBaTBHfqtsa+Xy3WsX+/beepfe/Zd4IlLm3BStsJbd9rwdkRFtPYd7/F1z/5yU+cOMO+s61PrM22supU+24Ofg/a+TaryoRWegbZbSyB2x7BHa8Wv9j3WWuLi1lrAKvEtRjPrmNJW2sbYN99wQU7W9vhbD33v/zySz355JPNLrPYwmJZe152mX3/WeLXqoLtO7C19gKdxX5X2MHeG3tMi+daWzjTXneLAa0llv0usNfHZrWF7ijHXvgBAIgya9assaxGmw9vv/22c7tHHnnEOT1p0iS/z+fb5f7s8qALLrig2X307NnTf+CBB/r/8Y9/7DIeu//p06f7vV6vPyUlxT9ixAj/hRde6F+wYEGz++vRo4d/9erV/uOPP96flpbmz87O9t98883+xsbGXcbypz/9aY+vQUVFhf/666/3jxw50p+UlOTv06eP/7DDDvP/+c9/9tfV1e31vvbff3//0Ucf3ew57O11HDJkSNP1bdvOe+6555rdrz3P0Ov961//8ns8Hv+rr766y/Xs9dgbG6ONtTXr16933pcTTjhhl8suv/xyZ3xPPPFEs/M3bNjgHzRokP/nP/+5v6ysbJfb2W3sPenI5+Dpp5/2T5482Z+cnOzv3bu3/3vf+55/3bp1uzz+GWec4c/MzHQ+L+ecc45/06ZNuzyubbcWpv32t7/1JyQk+BctWuScLikp8V900UXO+29js8/h8uXLnffAxr4n//znP53PzGOPPdbs76Etr/9//vMf/xFHHOG8h3bYb7/9/FdccYV/xYoVzW5rz+Evf/lLs9vu7rnde++9zv0kJiY6fxuXXXaZv7i4uOnyn/70p/6jjjpql8/Snu5zzpw5/oMOOsifmprqT09P90+YMMF/zTXXOK95kL1WJ598sv+1117zH3DAAc77Z+N45plnmt3Xjh07/L/85S/9ubm5zv0dfvjh/o8++sh5nqF/S6HPva1snGPGjHH+lu3fD3vNWr4nwecY/PcsqKamxn/11Vf7c3JynLEfcsghrb5G5r333nPec/t3qm/fvs57Vl5evsv13L7PhQsX+o877jjns2Xv22mnnebPy8vb42sIANHG/l1cunSpc4yOse/G0PgplMWoe4uFupLFGxabt8a+51p+vyP2/q499r+9JWkBAIgkVjVle8BbLiTU0et1BatUtepUq8qNRlY9YK0GWq5IH6lsyrtV1tnULpvKDeyOVZxYxcfLL7/s9lAAAN2IVZDaDBKLVW2WFNrPKmBN6OybIJu9ZLPNrII2EhxyyCHO9P2W0/uDFbA2G8lmlSB2/65pQQAAAGIu8LEp3GeddRbJVwAAgBjVWuI1yNoBtGWx1a5ibY52J7TlEWIXCVgAQNSxHqXWZzO0r+u+XA97Z/1K29Ij1E3WW9L6hFqlsS0kYH2/AAAAAMBtJGABAFHHmr63XHRrX66HvbOFzCJ9BfKlS5c6CXd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cqL59+zoB+e9+9zsXnwUARJ7Kxq8TsJ0lWAFbWFmoHQ07lJKQ0mn3DSA2EesBQOdLDCZgvV6pk3a0N/TtKyUkSA0N0qZNEu1cACB2ErDmyiuvdA67W4ghVEJCgm6++WbnAADo2gRsZlKm0hLTVF1frYKyAo3KGtVp9w0gdhHrAUAYE7CdxSpeLem6Zk2gDQEJWACIjR6wAICuaUHQWawqbYh3iLO9tnRtp90vAAAAOpCA7ey+10MCcZ7WEucBQGcjAQsAMVwBm6rOWZghaEhmIDCnDywAAEAMVcCGJmBZiAsAOh0JWACIQeFoQWCGeoc6x+tKCcwBAABcXYSrsxOwQwNxHglYAOh8JGABIAaFowWBoQIWAAAgxlsQkIAFgE5HAhYAYkxFfYXq/HXhScDu7AFLAhYAAMAFfj8tCAAgCpGABYAYU1hd6BynJKQowZMQngpYWhAAAAB0ufiSEsU1Noa3Anb9eifRCwDoPCRgASDGFNYEErDe5E6uigipgN1QvkENvoZOv38AAADsXmJhIM5Tjx5SQufuaNegQZLHI9XUSEVFnXvfANDNkYAFgBitgO3MBKyv0ae8vDxtW7vNqapt9Ddqfcn6Trt/AAAA7F1SMAHbie0HGnyBOG/JihWq79s3cN7q1Z12/wAAqZN3mQEAIqUCNiOl86allWwu0ZxlczS8bLjS4tJU3liud794V8OPGd5pjwEAAIA2VsB2YgI2v6REpXPmSMOHq87jUaKkjR9+qCHTpnXaYwBAd0cFLADEmM01m8PSgsCb61X28Gz1Tu8deJzqwOMAAACgayRu3hyW/q8jvF5NyM5Wj50VsEnBxwEAdAoSsAAQY7ZUbwlbD1iTmZzpHG+q3hSW+wcAAEDrErds6fQK2GZ23m9TohcA0ClIwAJArFbApoQnMA/eLxWwAAAAXaspMRrmBGzSJna0A0BnIgELADHE5/c1LcKVkdy5U9OCSMACAAC4IyncCdjMwEwnKmABoHORgAWAGLK1aqsa/A3yyKP0pPSwPAYtCAAAAFxQX6+EbdvC0gO2CRWwABAWJGABIIasL1vvHKfFpyk+Lj6sFbCFNYXy+/1heQwAAAC0sGmTPD6ffHFxUs+eYa2Aja+okMrLw/MYANANkYAFgBhSUFbgHPeMD1NQHrK4147GHSqqLgrb4wAAACBEQSDOa+jRQ/J4wvMYSUlqSE4ObK9bF57HAIBuiAQsAMRgBWw4E7BWWWsVtmZdKYE5AABAl1gfiPPqwlX9ulN9+s42ViRgAaDTkIAFgBhSUL6zAjYhvIF5enwgMF9XRmAOAADQlRWwTQnSMGlK8JKABYBOQwIWAGJIV1TAmvSEnQlYKmABAAC6tAK23loQhBEVsADQ+UjAAkAM6bIELBWwAAAA7iRgw10BSwIWADpdQuffJQCgKzU0NGjZsmXO9priNc5xj7jwVkYEWxyQgAUAAOiaOG/kypVKlVSbFujFHy5UwAJA5yMBCwBRzoLyWc/OUubATG2r3eac11DZ0CUVsGtL14b1cQAAALp7nJc3a5ZGZ2UpcW0g7ir2+TS8K3rA7nw8AMC+owUBAMSArEFZSu2fuvMf9jglKalrKmDpAQsAABBWlnyd0KuXEmprndM7uqoCdssWaceOsD4WAHQXHUrA5ufnd/5IAAD7pKy2zDlOU5o8Hk+XVMDaY5btCDwugNhAnAcAEagsEG/VJySoMTExrA/VmJysxtTUZn1nAQAuJGBHjhypY445Rv/85z+1gz1iABARgolQS8CGW2JcojKTMp1t+sACsYU4DwAiNwFbHebqV4fHo/r+/QPb9IEFAPcSsIsWLdIBBxygGTNmKCcnR5dddpnmz5/fOSMCAOxzBWxXyE3LdY5pQwDEFuI8AIhA5eXOUU1XJGCt0jY3EOeRgAUAFxOwkyZN0t13361Nmzbp4Ycf1ubNm3XEEUdo/PjxuvPOO1VUVNRJwwMARGoCtn9aoDKCClggthDnAUA3r4C1hbhIwAJA5CzClZCQoDPPPFPPPPOMbr/9dq1atUpXX321Bg0apPPPP98J2AEAXaO8NlAZQQUsgM5AnAcAkVcB21UJWFoQAEAEJWAXLFigyy+/XLm5uU5FhAXlq1ev1htvvOFUTZx22mmdN1IAQJt6wKZq56IJXZWApQIWiEnEeQAQeRWwXdWCgApYAOhcCR25kQXhjzzyiFasWKGTTjpJf//7353juLhAPnfYsGF69NFHNXTo0E4eLgAgUipgB6QNcI5JwAKxhTgPACJQF7cgqB8QiPNIwAKAiwnY++67Tz/84Q914YUXOlURrenXr58eeuihfR0fAKANan21qm2s7bIErK/Rp7qiOmd79bbVamhocKYrA4h+xHkAEGH8/q8rYFNTlRLmh2vw+bS8pkYj7KE3bFDjjh1KSAn3owJAbOvQr2WbejZ48OCmSoggv9+vgoIC57KkpCRdcMEFnTVOAMAeVDZUOsepCalKaAx/IrRkc4n+V/Y/KUMqri3WZ19+pkMmHRL2xwUQfsR5ABBZ4nfskBobuywBm19SotJnnpEvLk5xjY1a9c472m/69DA/KgDEtg71gB0xYoS2bdu2y/nbt293pqUBALpWZWMgAetN8XbZY2ZlZykpPsnZ3lzNYjxArCDOA4DIklgZiPPUs6d88fFd8pgjMjMV5w3ElYmbNnXJYwJALOtQAtYqIFpTWVmpFKYmAIBrCdiM5Iwue0yPxyNvciAwJwELxA7iPACILEnBBOzOhGiXycwMPP5m4jwA2Fftmqc6Y8aMph/dN910k9JCGoA3Njbqk08+0aRJk/Z5UACAjrUgCCZEu0pmSqaKqou0qZrKCCDaEecBQIRXwGZ03Y52R7AClgQsAHRtAvazzz5rqoxYsmSJ0/8ryLYnTpyoq6++et9HBQCI+ArY0JYHVMAC0Y84DwAiPAHrVgUsLQgAoGsTsG+//bZzfNFFF+nuu+9WRlfvgQMAREwPWJOZHAjMqYAFoh9xHgBEJtcSsPSABYBO06Glsh955JHOGwEAoFNbEFRqZ5DeBYIJXxKwQOwgzgOACO0B29U7xugBCwBdn4A988wz9eijjzrVELa9J88++2xnjA0A0AY+v09VjVWuJGCtB6yhBQEQ3YjzACByJVZUfF2RWlbmTg9Yn0+K69Aa3gCA9iRgvV6vsyhDcBsAEBmKdxTLJ5888ig9Ob1LHzu46NfWmq2qb6xXYnxilz4+gM5BnAcAEaq+XgnV1e4kYDMy5Pd4FFdXJ23dKuXkdN1jA0B3TcCGTkdjahoARI7NNYHqU0u+xnm6tjKhZ1JPxStejWrUxoqNGpo5tEsfH0DnIM4DgMiUuHWrnN1j8fFSjx5d++Dx8arv0SPQAmHdOhKwALAPOvRLvaamRtXBvXCyf4vX6a677tLrr7/e7vu69957NXToUKWkpGjq1KmaP3/+Hq9fWlqqK664Qrm5uUpOTtbo0aP13//+tyNPAwBiQmFNYbNq1K5kFXM9E3o622tL13b54wPofJ0Z5xliPQDouMTCwq/7v+6cqdCV6nsG4jytJc4DgC5PwJ522mn6+9//3hQkT5kyRXfccYdz/n333dfm+3nqqac0Y8YM3XzzzVq0aJEmTpyo6dOna6tNb2hFXV2dvvWtb2nt2rX697//rRUrVuiBBx7QgAEDOvI0ACAmFFYHAvOMZHdWLO8ZHwjM15Wuc+XxAXSuzorzDLEeAOybpGAC1qX2MHXpO9tbWQUsAKBrE7AWQB955JHOtgXHOTk5TnWEBet//etf23w/d955py699FJddNFFGjdunO6//36lpaXp4YcfbvX6dv727dv1/PPP6/DDD3eqKY4++mgnmAeA7srNCliTnhAIzNeVEZgDsaCz4jxDrAcAnVQB61ICtqkClgQsAHR9AtampaXv3BNm09Fstdy4uDgdeuihToDeFlbhsHDhQh133HFfDyYuzjn90UcftXqbF198UdOmTXOmpWVnZ2v8+PH6/e9/r8bGxt0+Tm1trcrLy5sdACCWbK4O9IDNSHGnAjY9fmcClgpYICZ0RpzXVbEecR6AWJe4efPXLQhcQAUsALiYgB05cqRTmVBQUKDXXntNxx9/vHO+TSfLaOMXw7Zt25xg2oLrUHa6MLiXr4X8/HynEsNuZ73AZs6c6UyJu/XWW3f7OLfddpuzmm/wMGjQoHY9VwCIlhYEblfAri2jNxgQCzojzuuqWI84D0Csc70CNpiApQcsAHR9Avamm27S1Vdf7UwLs8UUrFIhWCUxefJkhYvP51O/fv00Z84cHXTQQTr33HP161//2pnOtjvXX3+9ysrKmg72YwIAYonbLQjoAQvEFrfivI7EesR5ALrVIlxuV8D6/a6MAQBiQUJHbnT22WfriCOO0ObNm5v15Dr22GN1xhlntOk++vTpo/j4eG3ZsqXZ+Xbaeo21xlbDTUxMdG4XNHbsWKeKwqa5JSUl7XIbWz3XDgAQi2obalVcW+xse1PcrYBdX7Zejb5Gxcd9/W80gOjTGXFeV8V6xHkAYl1SsAWB2z1gKyul7dulrCxXxgEA3bIC1ljgbFUQ1ssryFbJ3W+//dp0ewugrbJh7ty5zaoe7HSw0qIlW4xh1apVzvWC8vLynGC9teQrAMS6DeUbnOMET4JSE1JdGUOP+B7O49f76rWpYpMrYwDQufY1zjPEegCwjyoqFF9R4WoC1p+QoPo+fQIn1qxxZQwA0G0TsFVVVU5PrsMOO8zpEzZ8+PBmh7aaMWOGHnjgAT322GNatmyZfvKTnzj3bSvlmvPPP9+ZWhZkl9vKuFdddZUTjL/yyivOwgy2UAMAdEdWdRpMgno8HlfGEOeJU25arrO9ppTAHIh2nRXnGWI9ANgHO9uqNNoOKBer/esGDgxskIAFgK5tQXDJJZfonXfe0Q9+8AOnIqGjP/qtr1dRUZHTa8ymlk2aNEmvvvpq02IN69evb1Z5YQsr2GIQv/jFL3TAAQdowIABToB+7bXXdujxASBWErDBPqxuGdhjoAqqCpRfkq+jhhzl6lgA7JvOivMMsR4A7IP1gTivrmdPuTPP6esEbI/Fi22lRBdHAQDdMAH7v//9z6lIsGli++rKK690Dq2ZN2/eLufZlLWPP/54nx8XAGJBQXmgMqJngvsJWGMJWADRrTPjPEOsBwD7VgFb73YCdsCAwAYJWADo2hYEvXr1Uu/evTv+qACAmKqAHZAWCMxpQQBEP+I8AIisCtimhbDcbkFAAhYAujYBO2vWLGcqWXV1dccfGQDQeRWwEdCCwFABC0Q/4jwAiLwKWEVCBSw9YAGga1sQ3HHHHVq9erXTv2vo0KFKTExsdvmiRYs6PiIAQPsrYGlBAKCTEOcBQISItArYdeukhgYpoUNpBADo1jr0L+fpp5/e+SMBALSL3+/XutJ1znZ6fLqrYxnQI1AZUVhZqOr6aqUlprk6HgAdR5wHABHCEp47F+FyU0O/flJSklRXJ23YIA0d6up4AKDbJGBvvvnmzh8JAKBdtlVvU1V9VURUwGYkZsib7FVZbZnWlq7VuL7jXB0PgI4jzgOACNDY+HUFbEaGu2OJiwskXfPyAm0ISMACQNf0gDWlpaV68MEHdf3112v79u1NU9I2btzY0bsEALRDcMGrfin9lOBxdyqYx+PR8F7DnW3aEADRjzgPAFxmlaYNDfIlJKg+LQJmFg0PxHksxAUAHdOhX+xffPGFjjvuOHm9Xq1du1aXXnqps1rus88+q/Xr1+vvf/97B4cDAGgrqzQNnf7vtmG9humzws+0poQFGoBoRpwHABFgbSDOq+/fP1CB6rZhwwLHJGABoEM69C/5jBkzdOGFF2rlypVKSUlpOv+kk07Su+++27GRAADaJZjo7J/WX5FgeCYVsEAsIM4DgAhgU/2t/6slYCMBFbAA0PUJ2E8//VSXXXbZLucPGDBAhYWF+zYiAEC7WhAMSIuMCtimFgSlBOZANCPOA4DIScDWDxgQWQnYneMCAHRBAjY5OVnl5eW7nJ+Xl6e+fft25C4BAB1NwEZQCwJDCwIguhHnAUAEVcBGSgKWFgQA0PUJ2G9/+9u65ZZbVF9f37T4ivUEu/baa3XWWWft24gAAG0STHRGSgI2dBEuv9/v9nAAdBBxHgBEgEhLwAYrYIuKpIoKt0cDAN0jAXvHHXeosrLSqYKoqanR0UcfrZEjRyo9PV2/+93vOn+UAIBmfH6f1pWti6gWBEO8Q+SRR1X1VSqqLnJ7OAA6iDgPACJApCVgvV6pd+/ANm0IAKDdEjr2b69Xb7zxhj744AN9/vnnTpB+4IEHOivmAgDCb3PFZtU11ineE6/s1GxFguSEZA3IGKAN5Ruc6tx+Pfq5PSQAHUCcBwAuq62VNm2KrARssA3B9u2BBOwBB7g9GgCI7QSsz+fTo48+qmeffVZr1651pqUNGzZMOTk5zpRTOw0A6Jr+r4O9g5UQ16F9aWFrQ2AJ2NUlqzV14FS3hwOgnYjzACACrF8vWTuntDQ1BqtOI6UNwcKF0urVbo8EAGK7BYEF3tYX7JJLLtHGjRs1YcIE7b///lq3bp0uvPBCnXHGGeEbKQBgl/6vQzOHKpKM7DXSOV61fZXbQwHQTsR5ABAhglP8hw61RtyKGCMDcZ5WEecBQHu1q2zKKiLeffddzZ07V8ccc0yzy9566y2dfvrp+vvf/67zzz+/3QMBALS/AnZY5s4VaSPE6KzRznFecZ7bQwHQTsR5ABBhCVib8h9JRgfiPOUR5wFAWCtg//Wvf+mGG27YJSg33/zmN3Xdddfp8ccfb/cgAAAdTMD2iqzAnAQsEL2I8wAgQkR6AnblSrdHAgCxnYD94osvdMIJJ+z28hNPPNFZrAEAEF5rS9dGZAXsqKxRzvHK7Sud6cwAogdxHgBEiLVrIzMBO2rU1z1qa2rcHg0AxG4Cdvv27crO3v1q23ZZSUlJZ4wLANCGHrCRVgE7otcIeeRR6Y5Sbave5vZwALQDcR4ARIhIrYDt00fKzAxs0wcWAMKXgG1sbFRCwu7bxsbHx6uhoaF9IwAAtEt9Y70KygsisgI2NTFVg72DnW3aEADRhTgPACJEpCZgbUEw+sACQPgX4bLppLYKbnJycquX19bWdmwUAIA2s+Srz+9TSkKKcnrmaJvcrTT1NfqUFxKE90/ur3Va5yRgDx98uKtjA9B2xHkAEAEqK6WiosD20KFSQWCnu1safD7lh8R5A/v1Uy/bIAELAOFLwF5wwQV7vQ4r4wJA17QfGOIdIo9VIrisZHOJ5iybo+Flw53TW7dudY6pgAWiC3EeAERQ/1eb6m8HlxOw+SUlKp0zRxoeiPM2rVkTSMCyEBcAhC8B+8gjj7Tv3gEAnW7V9kDPrRG9RyhSeHO9yh4e6B2ZU5Gj1aWrlbedBCwQTYjzACACBHurjoicOG+E16sJO3uEr8/Nlb76igpYAAhnD1gAgPuClaVZ/iwtWbLEmf7v8/kUKbwJXueYClgAAIB22pnYLM3Ojsg4r9YbiPNIwAJAGCtgAQDuC1aWfrXqK82una38BfnyDvMqV7mKBN5Eb1OlrvWqjfOwrw8AAKBNdiY2N1krgtmztS4/X1mW9LTK0whQF0zAWp/akhKpl9OQAACwF/wqBoAoE6wsHdB3gDPt35uzMxCOEOnx6UrwJGhHww5tKN/g9nAAAACiLgHbMzfXmfY/JJjwjBC+pCTV9+0bOEEfWABoMxKwABBF6hvrlV+S32yqf6SxitdBPQc527QhAAAAaIcVK5yjWluAK0LVDhkS2KANAQC0GQlYAIgia0rXqMHXoJT4FPWI76FINaRnIDAnAQsAANBGpaXS1q3Np/pHoLpgApYKWABoMxKwABBFggnNoT2HyuPxKFIN7jnYOSYBCwAA0EY7E5o2xd+m+keq2sGBOI8KWABoOxKwABBFggnNYIVppLIEsSEBCwAA0EY7E5pNU/wjVO3QQJxHAhYA2o4ELABEkRXbVkRVAnbZtmVuDwUAACCq+r82TfGPUHXBBOzy5ZLP5/ZwACAqkIAFgCiSt31nC4L0nYFvhBqRMcI5Xlu6VpV1lW4PBwAAIHoqYIMJzghVO2iQZC0SqquldevcHg4ARAUSsAAQRaKlBUGv5F7q16Ofs72siCpYAACAWGlBoIQEacyYwPZXX7k9GgCICiRgASBKWCXppopNUZGANeP7jXeOv9z6pdtDAQAAiGx+f/QkYM34QJynL4nzAKAtSMACQJRVv/ZN66uMpAxFuv377u8cf1VEZQQAAMAebdokVVVJ8fGqHzhQEW//QJxHBSwAtA0JWACIsgTs6KzRigZUwAIAALTRzupXDRsmf2KiIh4VsADQLiRgASDKErBjsnb23IpwVMACAAC0MwEb7K0aLRWwy5dLjY1ujwYAIh4JWACIEtFWAbt/v0BgvqF8g8p2lLk9HAAAgMhPwI6OjjjPKnWVmirt2CHl57s9GgCIeCRgASBKBCtJx/SJjsqIzJRMDUgf4GxTBQsAALAHwV6q0VIBGx8vjR0b2KYNAQDsFQlYAIgC9Y31Wlq01NmemD1R0SJYBfvVVhKwAAAAu/X554HjidET57EQFwC0HQlYAIgCy7ctV11jnTKSMzQ0c6iixfi+LMQFAACwR1u3SoWFkscjTZigqMFCXAAQXQnYe++9V0OHDlVKSoqmTp2q+fPnt+l2Tz75pDwej04//fSwjxEA3PT5lkBVxAHZBzj/7kUyX6NPeXl5WrJkibx1Xuc8WhAA3RdxHgC0sfp15EipRw9Fsgbf13He2uBYqYAFgMhPwD711FOaMWOGbr75Zi1atEgTJ07U9OnTtdX2Au7B2rVrdfXVV+vII4/ssrECgFs+L/w8atoPlGwu0ZwP5mj2p7P17qJ3nfOogAW6J+I8AIit9gP5JSUqnTNHmj1by/7738CZK1ZI9fVuDw0AIprrCdg777xTl156qS666CKNGzdO999/v9LS0vTwww/v9jaNjY0677zz9Nvf/lbDhw/v0vECgJsVsNGQgDXeXK+yh2dr6IBAu4QtVVtUXF3s9rAAdDHiPACIrQSsGeH1akJ2tgYOGqTGtLRA8nXlSreHBQARzdUEbF1dnRYuXKjjjjvu6wHFxTmnP/roo93e7pZbblG/fv108cUX7/UxamtrVV5e3uwAAFGbgM2JjsA8KDEuUf3T+jvbX2z5wu3hAOhCxHkAEJsJ2CYej2pHjAhsf0GcBwARm4Ddtm2bU+WQnZ3d7Hw7XWhNyFvx/vvv66GHHtIDDzzQpse47bbb5PV6mw6DBg3qlLEDQFcprCzU1qqt8sij8f12LnYQRcZmjnWOPyv8zO2hAOhCxHkA0Aa1tdKyZdGZgJVUs99+gY3PiPMAIKJbELRHRUWFfvCDHzhBeZ8+fdp0m+uvv15lZWVNh4KCgrCPEwA6U7BydFTWKKUlpilaE7ALNy90eygAIhhxHoBuaflyqaFBysyUonAnUs24cYGNhcR5ALAnCXKRBdfx8fHasmVLs/PtdE5Ozi7XX716tbMow6mnntp0ns/nc44TEhK0YsUKjQhOgdgpOTnZOQBAtIqmBbj2lIBdtHmR20MB0IWI8wCgHe0HDjjAmdIfbWrGBuI8LVok+f1R+RwAIOYrYJOSknTQQQdp7ty5zQJtOz1t2rRdrr/ffvtpyZIlWrx4cdPh29/+to455hhnm2lnAGJRtC3A1dK4zEBlxIptK1RZV+n2cAB0EeI8AIjh/q871Y4cKSUmSiUl0rp1bg8HACKWqxWwZsaMGbrgggt08MEHa8qUKbrrrrtUVVXlrJZrzj//fA0YMMDp8ZWSkqLx45v3P8y0qRrSLucDQKyI1gW4grJSstQ/vb82VWzS4sLFOmLwEW4PCUAXIc4DgNhOwPqTkqQJEwIVsNaGYOhQt4cEABHJ9QTsueeeq6KiIt10003OggyTJk3Sq6++2rRgw/r1650VcwGgO6ptqNXybcujugLWHJR7kJOAtTYEJGCB7oM4DwD2wKbsR3kC1nHggYEErB3OOsvt0QBARHI9AWuuvPJK59CaefPm7fG2jz76aJhGBQCRUf3a4GtQ79TeGpgxUNHqwNwD9VLeS/SBBboh4jwA2I3166Vt26zRtbT//opaBx0kPfhgIAELAGgVJQcAEMHeX/++c3z4oMPlieJFDSwBaxZuZoVcAAAAx/vvf11BmpqqqGXjN9aCwKp6AQC7IAELAFGQgI3Wafu+Rp/y8vKUVpbmnF66danKa8rdHhYAAEDkJGCPiM44r8EXiPO+9Hjkj4+XiorUwEJcANAqErAAEKH8fn/UJ2BLNpdozgdz9O8l/1ZqXKp88uml+S+5PSwAAAD3RXkCNr+kRKVz5sj/8MPasXPRxA0vvuj2sAAgIpGABYAItXL7ShVVFyk5PtlZxCpaeXO9yhmRowHeAc7ppSVL3R4SAACAu0pKpC+/DGwffrii1QivVxOys5U6aJBzOnUpcR4AtIYELABEqGD169SBU5WckKxol5ue6xwvLSUwBwAA3dyHHwaOR4+W+vVT1MsNxHkkYAGgdSRgASBCNbUfGBSd09JaGpAeqID9YvsXbg8FAADAXVHefmAXAwJxXtoXX7AQFwC0ggQsAESo99a95xwP8A3QkiVL1NDQoGg2yBuYmpZfka/tNdvdHg4AAIBr/O++6xxvGDo0JuI85eTIl5CghLIyacUKt0cDABGHBCwARKDCykKtKlnlbC9Yt0Cznp2lZcuWKZqlJabJm+B1tj8q+Mjt4QAAALhjxw75P/3U2axaulR5s6I/zlN8vKr79m3eXgEA0CTh600AQKT4YP0HznFWYpYGjxyszf7NysvLa7rctn0+n6JNTnKOyhrK9GHBhzp59MluDwcAAKDrLViguPp61aemaszo0aouLNwlzhsZhXFedU6Oem7eHEjA/vCHbg8HACIKCVgAiEDz1s5rSliaks0lmrNsjoaXDXdO5y/Il3eYV7kKLHgQLXKScrSiaoU+KAgkmAEAALqdefOaEpZej0f5JSUqnTNHGh6I89bl5yvL621a2Cpa2PNxfECcBwAtkYAFgAjj9/v1wooXnO3BKYObzvfmepU9PNvZLt5QrGgUTCjP3zhf9Y31SoxPdHtIAAAAXeuFQJxXMXiwAs2ZpBFeryZkB+K8vOLojPOq+/ULbCxfLtlzyMpye0gAEDHoAQsAEeazws9UUF6g1PhUDUgOrCgbKzITMpWRmKGahhp9vuVzt4cDAADQtQoKnBYEfo9HFUOGKJY0pqZqx9ChgRMff+z2cAAgopCABYAI89yy55zjw7MPV0JcbE1U8Hg8mth7YrM+twAAAN3Giy86R9WTJqkhLU2xpnry5MAGbQgAoBkSsAAQYZ5f8bxz/M3+31Ss8TX6NNA/0Nn+35f/U0NDg9tDAgAA6DrPB+K88mOOUaxp8Pm0Zmcf2Mo33iDOA4AQJGABIIKs2r5KX279UvGeeB2Vc5RijS0mtjJ/pbP97sZ3tXTpUreHBAAA0DVKSpoW4Cr/ZuztaLfFxNZ8HmgxlfLZZ1r2xRduDwkAIgYJWACIIC8sDyzK8I2h31BGUoZi0aC+gxTniVONarSxeqPbwwEAAOga//2vZFWh48erbvDXC63Gkj79+0upqUpobFQaO9oBoAkJWACIwPYDp+93umJVgidBA9MDbQg+3soCDQAAoHu1H9DpsRvnyeORhg1zNnt88onbowGAiEECFgAixMrilXp//fvyyKPTxpymWDasVyAw/2QrgTkAAOgGtm2TXnopsH3GGYppOxOwPT9mRzsABJGABYAIMfvT2c7xSaNO0iDvIMWy4b2GO8fzi+bL5/e5PRwAAIDwevBBqbZWOuggafJkdYcEbJr1g62qcns0ABARSMACQASorKvUw4sfdravnHKlYt2A9AFOK4KSuhJ9sYUFGgAAQAyzvq+zAzvadeWVgWn6sax3b9X17Km4+nrp/ffdHg0ARAQSsAAQAf7x+T9UXluuUb1H6fgRxyvWxcfFq39yf2d7bv5ct4cDAAAQPi++KBUUSH36SN/9rmKex6PKAQMC23OJ8wDAkIAFAJf5/X7d8+k9TdWvcZ7u8U/zgJRAYP7mmjfdHgoAAED4/O1vgeNLL5VSUtQdVA4MLLiqN4nzAMB0j1/5ABDB3sh/Q0uLlqpnUk9dOOlCdRcDkgMJ2HfXvau6xjq3hwMAAND5Fi+W5s2T4uOln/xE3UVVsALWnn9xsdvDAQDXkYAFABc1+hp1zRvXONsXT75YGckZ6i6yErPUK7mXquur9cmGT9weDgAAQOfy+6Wrrw5sn3OONCi2F1kN1ZCWph0jRwZeg7ffdns4AOA6ErAA4KJHFj+iz7d8rsyUTN141I3qTjwej6b2nepsv7b6NbeHAwAA0LlefjnQAzUpSfr979XdVB56aGDjNeI8ACABCwAusUW3fv3Wr53tm4++WX3S+qi7OTLnSOf4pbyX3B4KAABA56mrk375y8D2jBnSsGHqbiqOPPLrRLTP5/ZwAMBVCe4+PADEnoaGBi1btqzZeWPHjlVCQvN/cme9M0tbq7ZqdNZoXX7I5eqOjsw+0ll07IstX2hd6ToNyRzi9pAAAAD2Oc7TX/8qrVwpZWdL11+v7qjq4IOl9HSpsFBasECaMsXtIQGAa0jAAkAns6B81rOzlDUoyzldXFCsmWfO1IQJE5qu82b+m7rjozuc7TuOv0NJ8Um7BPR5eXnyxXi1QGZypg4fdLjeW/+eUwV75ZQr3R4SAADAblmsljdrlkZnBeK8PFtgambzOE+LFkm/Dsxy0u9+J2VktBrnjYzxOM+fmCidcIL0zDPSSy+RgAXQrZGABYAwsORr9vDsVi/bXLFZ5z17nvzy6+JJF2tI7RAtWbLECcSfXPKk+gwOtCLIX5Av7zCvcpWrWHbq6FNJwAIAgKhhydcJVtnamrIy6TvfcVoQ+E49VV8dcoi0M87zPfmk9usTiPPW5ecry+uVcmM7ztOpp36dgJ01y+3RAIBrSMACQJj5Gn1O0G0afA36xWe/cFoPHJB9gC4bcllTtWww4RpM3BZvKFZ3cOqYU3XNm9fo7TVvO31xM5Iz3B4SAABAmzT4fMrfGefJ79f+s2YpbvVqacgQLb/mGuXdequTsLWE64Feb1Pi1qmc7Q5OOkmKi5M+/1xat855XQCgOyIBCwBhVrK5RHOWzdHwsuF6p+AdLdMy9UzqqafPflp1m+uaqmW7S8K1pTFZYzSq9yit3L5Sr69+XWePO9vtIQEAALRJfkmJSufMkYYPV8Mnnyjus88k6wf71FNqTEtrqpbtNgnXlqxVw+GHS++9F1iM64or3B4RALgizp2HBYDuxZvrVWVmpZN8NXNOmaMxfca4PayI4PF4nDYExtoQAAAARJMRVtna2KiJVuVp/vhHaepUt4cVWW0IjLUhAIBuigpYAOgCNb4avbL8FWf77KFn63sTvqfuLrQ1w/jE8c7xSyteUl1jnbMoGQAAQDSIr6+X/v1vxfl8KjvmGHl//nN1d6GtGZLGjJGVHfjfekuekhKpVy+3hwcAXY4ELACEmc/v0yd1n6jaV62sxCxdM/Eat4cUca0Z7DVKVrJKdpTojdVv6OTRJ7s9PAAAgL3z+7Xfp59KJSWqS0/Xhlmz5PV41N2Ftmaos7XJvF55bYGy556TfvhDt4cHAF2OFgQAEGZLtVRFviKnqvPYXsdq/er1WrJkiXNwVsT1+dSdWzNY/9vcEbka1XOUc96TXz3p9rAAAADaZMTq1eq7caOz0NSaY4/V8sJC4rzQ1gzZ2c6hZszO1lv/+pfbwwIAV1ABCwBhtGr7qqa+r9bn1L/crzkrA1WfJn9BvrzDvMpVrrq7kWkj9WXll3p++fOqrq9WWmKa20MCAADYvU2bNCHY9/Vb39KXiYlNVZ9mXX6+srxeKZc4r3TkSOXMny+99Za0ZYuUne32kACgS1EBCwBhUlVXpeeWP+dsD08YrvH9xjer+rSDN8fr8igjR3ZStvqn9VdlXaX+u/K/bg8HAABg9+rqnL6v8T6figYMaFp0K7Tqc4glX+Goz8hQ9fjxklUEP/OM28MBgC5HAhYAwsDv9+vlvJedSk6vvJqUOMntIUU8j8ejEwae4Gz/60umpwEAgAj2+utO39eqtDStOPhgC2TcHlHEKz3xxMAGbQgAdEMkYAEgDFZWr9Ty4uWK88RpiqYo3hPv9pCiwokDA4H5K3mvqLy23O3hAAAA7KJnQYG0cKGzvfCQQ9SQlOT2kKJC2fHHBxLVH34orVvn9nAAoEuRgAWATlZYXaj3S953to8ecrQyPZluDylqjPaO1tg+Y1XbWKtnvmJ6GgAAiCxx5eUaOG9e4MSUKSrq18/tIUWNBuv7etRRgRP//KfbwwGALkUCFgA62e1f3K46f536p/fXEYOPcHs4UdeG4MJJFzrbDyx6wO3hAAAANJPz178qsapK6t1bOu44t4cTfS66KHD80EOBfrAA0E1ERAL23nvv1dChQ5WSkqKpU6dqvq2OuBsPPPCAjjzySPXq1cs5HHfccXu8PgB0pVdXvaq5m+bKI4++PfrbTgsCtM8FEy9QQlyCPtn4iZZsWeL2cADsI+I8ADFjwQL1Di4gdeqpUmKi2yOKPuecI2VkSGvWSG+95fZoAKDLuJ4ZeOqppzRjxgzdfPPNWrRokSZOnKjp06dr69atrV5/3rx5+t73vqe3335bH330kQYNGqTjjz9eGzdu7PKxA0CoHQ07dOV/r3S2J/ScoOye2W4PKSrZ6/btMd92th9c9KDbwwGwD4jzAMSMxkbp8svl8ftVMmqUNHSo2yOKTmlp0nnnBbYfJM4D0H24noC98847demll+qiiy7SuHHjdP/99ystLU0PP/xwq9d//PHHdfnll2vSpEnab7/99OCDD8rn82nu3LldPnYACHX7+7drdclq9Uvpp4O9B7s9nKj2w4k/dI4f/exRLVi8QEuWLFFDQ4PbwwLQTsR5AGKGJQs//VSNPXuqcNo0t0cT1Rp2tiHwPfuslr77LnEegG7B1QRsXV2dFi5c6EwvaxpQXJxz2qoe2qK6ulr19fXqbT14WlFbW6vy8vJmBwDobBvKN+j2D253tq8+4GolxbEa7r4YUDtAaUpTeX25rnvvOs16dpaWLVvm9rAAtANxHoCYUVYm3Xijs7nliivUYFWc6LBlKSkq6dVLcfX1yrzuOuXNIs4DEPtcTcBu27ZNjY2NyrbVEEPY6cLCwjbdx7XXXqv+/fs3C+5D3XbbbfJ6vU0Hm8oGAJ3t13N/rZqGGk3OmqxhVcOcii10XLwnXuMyxjnbeQ15yhqU5faQALQTcR6AWOH7/e/tHzXtGDZMHx94IHFeJ6geP9457p+Xp9G72ckGALHE9RYE++IPf/iDnnzyST333HPOwg6tuf7661VWVtZ0KCgo6PJxAohtnxd+rn988Q9ne2j8UD3w1gMqKSlxe1hRb2zPsc4iZgXlBdpa23q/SACxizgPQESwf1fuvtvZLBwzRmsfeog4rxOUWh/d5GSpuFjp69e7PRwAiO0EbJ8+fRQfH68tW7Y0O99O5+Tk7PG2f/7zn53A/PXXX9cBBxyw2+slJycrIyOj2QEAOtM1b14jv/wakTpCB4w9QN4cr9tDigk94ntoQr8JzvYXlV+4PRwA7UScByAm3Hij4mprVZmbq6FTpmiIlzivM/iSkqSDDnK2+3z+udvDAYDYTsAmJSXpoIMOarawQnChhWl7aGz+xz/+UbNmzdKrr76qgw9moRsA7pmbP1evr35dCZ4ETc2c6vZwYs6hAw91jldXr1ZhddumLAOIDMR5AKLekiXSPwKznJyFtzwet0cUW6ZMcV7Tnps2KWX5crdHAwCx3YJgxowZeuCBB/TYY485jbd/8pOfqKqqylkt15x//vnO9LKg22+/XTNnznRWzx06dKjTQ8wOlZWVLj4LAN2R3+/XTfNucra/M/w7ykig8mpf+Bp9ysvLc1bCtWNL1OT0zNHQzKFOhfG/8v/l9hABtBNxHoCo9pvfWMCn0unTVdOvn9ujiWoNvl3jPFk18f77O5f32ZnoBoBYleD2AM4991wVFRXppptucgLsSZMmORUPwQUb1q9f76yYG3Tfffc5q+qeffbZze7n5ptv1m/sCxIAusgb+W/ow4IPlZKQootHX6xnvnzG7SFFtZLNJZqzbI6Glw1X/oJ8eYd5latcTRs4TWtL1+rfa/6tu2vvVnpyuttDBdBGxHkAotbixdKzzzoVmlt//GPptdfcHlFUyy8pUemcOdLw4VqXn68sS77m5kqHHip9+aW8//uftHGjNGCA20MFgNhMwJorr7zSObRm3rx5zU6vXbu2i0YFAHuufr153s3O9o8P+rH6pvZ1e0gxwZvrVfbwbBVvKG46b1TvUcpMyFRpfanumX+Prj/y62o5AJGPOA9AVAru9Pnud1U7YoTbo4kJI7xeTcjOVl7x13GeJVyrcnPVY/Nm60HTtOAZAMQa11sQAEC0aGhocKZN2eG+N+/Txxs+VmpCqq494lq3hxbTPB6PDsw40Nm+46M7VFnHVOTdfS7tYKcBAEDHv09XPvWU9MILklXo3xRoN4Xw2XpgIM6TVchaIhZNiPOA2BERFbAAEA2sf+GsZ2ep98DeerrgackjnTP0HBWtKfq6lxXCYnjycC1LWqbNNZs188WZ+tPpf1JCAl9hoZ/LrEFZKi4o1swzZ2rChAluDwsAgKj7Ps2bNUujs7KUZslXa4904onaUF/vxHkjifPCprR/fxWPHq2svDxtu/Zabf7VrzR27FhivRafS6dyeCZxHhCtqIAFgHawJFd5ZrlKPCWK88dJ1dLsT2drztw5KikpcXt4MaussEy9S3s727O/mq2FSxa6PaSI+1xa6wY7BgAAHWNJrgmNjRqwebMs3bo1PV2aPVvr5hDnhVN+aak+7dnT2e79r39p3a9/7SQeEfK5zM52jgFEL3YpAUA7e7++s+4dZ3tk4kgNGzXM2Q7tWYrw2C9rP23yb1LJjhI9ufpJTZ08Vd2RTT0L/VFC9TUAAJ1oZ2/qrUOGaMyYMc52s56lCIuU4cOlLVsUt3GjDl23Tt21EUFrcR7V10BsIAELAO2wbsc6barYpHjFa0xiIChH14jzxOmowUfphRUv6KG8h3Rj9Y3KSsvq1i0HTP6CfHmHeZWrXLeHBgBAVEvdskVauVI+j0frxo5VjtsD6k48Hukb35Aef1y9v/xS2zZulLrhVPvQlgNmXX6+srxeKZc4D4h2tCAAgHZUvy4oW+Bsj9RIpXhS3B5St3NA9gHKSsxSRX2Ffv/e79XdWw7YwZvjdXs4AADEhOwFgThv/ZAhqrH2A+haI0ZIw4YpzudT9j33qLu3HLDDEEu+AogJJGABoI3mbZ6nbfXblBSfpDGi+tWtKthDvYc62/d8eo/WlKxxe0gAACAGpH3+udILCpxKzOVjx7o9nO5bBfutbzmbvV55RVq0yO0RAUCnIQELAHvowbRkyRLn8MUXX+gvi//inD+l/xQle5LdHl63NTBloA7td6jqGuv067d+7fZwAABAlMd5duj55z8HLpg4UVU7F4SCC3JzVTJqVGD7V7+yKWhujwgAOgUJWADYS6/N2Z/O1jXvXqO1O9YqQQmaNmia20Pr1jwej34x/hfyyKN/ffkvvb/+fbeHBAAAorTXpmbPVtpNNyn788+d3q866ii3h9btbTnkEPkSE6W33pKee87t4QBApyABCwB76bXZb1g/Ld6x2Dk9KmGU0hLT3B5Wtzc2c6wuOfASZ/uK/16hBl+D20MCAABR2mtzxBdfOKcLhw6VevVye1jdXn1GhrZddFHgxM9/LlVVuT0kANhnJGABYC+WbVumLVVbnOrX0Ymj3R4Odvr9sb9X79Te+mLLF06VMgAAQLutXy/l5zvVr+vp/Roxtl58sTRkiGR9eX/3O7eHAwD7jAQsAOyB3+/XO+vecbZHaZSSPEluDwk79Unro9uOvc3Znvn2TG2u2Kzuxuf3OQcAANBB8+Y5R2uHDdOOHj3cHg128qemSnffHThh/XmXL1e34/PJ4yPOA2JFgtsDAIBItrpmtbZWbVVyfLJGN1L9GmkunnyxHlz0oD7d9KnTiuA/3/mP0yM2li0vXa43i99UaXGpttdsd3rh9q/tL882jzL9mW4PDwCAqNFj0yZpzRopLk7Lx44VTaYizLe/LZ18svTKK9Ill0jvvCPFxyuWJa1dq75vvy2VlEjFxTrN79f2nBypsVGerCyxJBkQvaiABYDdaPQ3amHZQmf70IGHUv0aIXyNPuXl5TkrFi/9aqmu2e8aJcQl6Lnlz+npr552e3hhU1xdrJ+8/BN9963valX1Km2r3uZUvzaqUQWNBc5zf6XoFZXUlrg9VAAAokK/Tz8NbEyerJo00q+RosG3M9b78kst/+lP5e/ZU/rgA+meexSzKiqka67RqDPPVO8VK6StW52ka7zPp762o+DZZzX8+eeVWFjo9kgBdBAVsACwG69veF0lDSVO9aslYPPX57s9JEgq2VyiOcvmaHjZcOd00doinZl7pp7e+rR+/NKPlV2TrSMmH6GEhNj5iltWtEwnPn6i1pWtc06PTBupqSOmqm9aXy35ZIkKEgq0xrdGG2s36uzXz9Y9Nfc4C5WZsWPHxtRrAQBAZ+gxf756bt4cqKg88khp40a3h4Sd8ktKVDpnjjR8uL4oKlL197+vA+fMke+667Ry5EiNmD49tmIb63N74onSV185FXLlgwcr4/DDpb599eayZRq5YYOGrl2rtKIiDT37bOXfdZeqDj7YuSlxHhA9qIAFgFY0+Bp0//L7ne1pg6YpJSHF7SEhhDfXq+zh2c4hLiFO21duV1ZilkrrSnXef8/T0qVLFSvm5c/ToQ8c6iRfB/cYrFuG3aJv9vqmRvYeKW+KV709vTUxaaIuOfAS9VRPFdUX6Qdv/0C3fnirZj07S8uWLXP7KQAAEFn8fmXfe29g+8ADJa/X7RGhhRFeryZkZys+Lk6frVmjygEDFLdjh7IuuEDLlixRzPj8c/kPPdRJvtb366cPbrhBa044QRo9WurVS2WZmVo7frz0ox+pNDNTKeXlGnrppUq76SblzSLOA6IJCVgAaMWjix/Vmoo1So5L1tQBU90eDvaiV24vnX3A2YrzxGmTNunJ/CcVC97Mf1PTH5+u8vpyZSdl6xjvMXr/4/dVYn3BWujXo5+O1bHKistSnb9Or5W8ptT+qa6MGwCAiPbyy+rx2WfyWfXrEUe4PRrsxYjMTPU86ywpKUl9iouVfX+gSCLqLVggHXWUPJs2qTwjQ6u/9S19smBBq3GeMjM175hjVJybq7jGRo14/XWNp/IViCokYAGgher6at0872Zn+8CMA6l+jRI5PXN0/PDjne0/L/mzFm1epGj2wfoPdNqTp6nOV6chKUN08ZSLNXTUUHlzdl+lY32KD08+XL1Te6ustkz/2/Y/1TTUdOm4AQCIaA0N0nXXOZvbJkyQMjLcHhHaolcv6dRTnc2+DzwgvfmmotqXX0rTp0vl5aqaPFkFZ52l/UaO1JA9VGM3JiToK6uWzc2Vqqs19L//VXxZWZcOG0DHkYAFgBbu+vgubarYpP5p/TW+53i3h4N2mDJgioamDlW9r17n/vtcldRE54JUCzct1ElPnOTsDDis32E6vs/xSoxPbNNtkz3J+v747ys1IVVFdUX64xd/DPt4AQCIGo89Ji1dqgavV0WTJ7s9GrTH+PEqHjtWHr9fOu+86O3bu3KldNxx0vbt0pQpWjt7tnzJyW26qc+qXr/3PadtRnJZmQbOnOm01AAQ+UjAAkAIW1n+9g9ud7Z/Ou6nivfEuz0ktIPH49FR3qPUJ7GPVm1fpRMeOUHVtdWKJl9u/VLH//N4ldeW66A+B+mKPlfI4/e06z6y0rJ0zrhznO3/rP2PnvnqmTCNFgCAKFJdLd10k7NZdOmlbU56IXIUTJum0iFDpK1bVXPccWooLVVUWbdO/mOPlbZsUc3o0Vp6xx1avnGjfD5f2+8jPV0691z54uKUMW+eFOxnDCCikYAFgBA3zL3BSXxNypmkEwed6PZw0AE1W2o0avsoJXoSNb9ovr7/xPflj/DKgIaGBi1ZskQvf/Syjnn4GG2v2a5e/l6amDxRj739WOu9wPZiWK9hmpweqOy59KVLta50XRhGDgBAFLntNmnTJmnIEBV/97tujwYdsLqiQq8NGqT61FSlLl+u6tNOkxobFeks1lv21luqtZ6vBQUqT0/XmmnT1Pj441o3Z077Y73cXBVOmxbYvvpqZzEvAJGNBCwA7PTxho/1wKIHnO2/nfg3Z0EnRKeB2QN1zv7nyCOPXlj/gpNYj+QkrK1ge+2z1+p7c7+nbbXb1LO+p45KO0qDRg7aY8/XvTnYe7AO6H2A0w/2vGfPU6Mv8n+gAAAQFnl50h93tuW58075k5LcHhE6KDs3V4nf/76ziFrGu+9Kl10W8UnYle+/rwFnnKHk9etVmpqqL48+WuOGDtWE7Ow99n3dk+Lx41V+1FFSbW2gLUENff+BSEZ2AQBsr7SvQZe/crmzfcHEC3TEYFbEjXajskbpiF6B9/EPH/xBM16bEbFJ2A1VG/Re/HuqbKxUVmqWjkk8xllQa19ZC40/HPIHpSel64OCD/TnD//cKeMFACCq2Pf/FVdIdXXSCSdIZ5zh9oiwrwYOVMGxx8ofFyc99JB0wQWBBdYi0ZYtGnbJJcooL3faB3x0zDGqS03d9/v1eLThlluknBzbmy/dcENnjBZAmJCABQBJsz+drc8KP1NmSqb++C0WLYoV+/fcXzdMDASjd31yly558RLtaNihSLKyeKV++O4PneRrn7Q+zg6AFE9Kp9y3r9Gn6o3V+tX4XzmnZ749U4sLF3fKfQMAEDWeflp6803Jer7+7W9O4grRr3z4cBX84Q+SLUz1+OPSOedIFRWKKNby4pvfVMrq1arr0UO68EJV23EnaPD5tGzbNq2xhbjMXXdJc+d2yn0D6HwkYAF0e8u3Ldd1b17nbP/+m79Xvx793B4SOtF3R3xXD337IacdwcOLH9a0h6ZpxbYVigQfFnzojKewplCZCZk6/4DzlZ6c3mn3X7K5RHM+mKONWzeqv/qr3levHzz3g4hLQgMAENYEmFW/muuuk0aOdHtE6ERlVtH8n/9I1lLi+eelAw+UFi5URPjyS+nQQ6WlS1WXna013/621Lt3p919fkmJSufMUeWSJcofPjxw5oUXStG2MBnQTZCABdCt1TbU6vv/+b5qGmp03PDjdNnBl7k9JHQiqwDNy8vTIQmH6J7D7lGvpF5OBeiBcw7UzW/frNIdpe1aJCt4sNP76skvn9Q3H/umimuKNb7XeH2737c7Nfka5M31KmdEjo7NPlbeeK++3Pqlfvz0jzvteQAAELFsZfnzz5eKi6XJk5miHWOsAtTivCXDhmn1gw+qLjdXWrVKssWpfvlLaetW1+I8vfaadPjhUkGBtN9+yn/kEdV1sNfrnozwep0+shVHH61Ka0WwYYNKfvAD4jwgAiW4PQAAcNONb93otB6wvpuPnf4YC2/FGKcCdNkcDS8LVAUcXne4tvbdqvlF83XLu7for/P/qksmX6Kzxp2lA7MP1IrlX1fGjh07Vgk2pW3nIlmznp2lrEFZKi4o1swzZ2rChAntX/122TJV1VfpD5//wVkczJw6+lT9er9f69HPHlU47di6Q8Mqh2lxj8V6bOVjWrdynf565l/b/TwAAIgad94ZmJJt/TafeCJQJYmYEawA1fDhqpb06pQpOrqyUl57z+29/7//ky66SDrrLDUceqiWrVy52zgvb9Ysjc7KUp4l62d2PM7z1NYq569/VZ9//CNwgS2S9dxzqt+4UeG0qrJS6wcP1ilbtqjXyy9rRXGxlv3f/xHnARGEBCyAbuuZr57Rnz8KLEp008SbVLy2WP3G9msKxhAbrAI0e3h20+lbD75VKxNW6uZ5N2tp0VLnM2CHXsm9lFSbpJz0HHnKPJo+dLomj5is7NRsFa0rUq8BvZrdT3t9tfQrXfbcZVoav1QVjYH+ZJeMuUT3f+d+Lf1qqbrCqL6j5MnwODsdFsQvUEV9hPVJAwCgs7z1lvw33CDr9rrx6qu1vb5eWrKkWeIN0S9YARq0/ic/0QRLdt50k7RggXTPPc7Bk56u7JQUxeXkaH1cnD49/nj1nTxZ9dnZytu2TSN79Wp2P+21bOlSlV9+uQ5aulQpJSXOecXf+Y6y/v73QO/hMCdgTfqQIfLYTob339fBixZpZVFR2B8TQNvxzQOgW/pg/QdOL0wzSqO0bOMyvfvBu/rexO9p9OjRzvk2pclnU9cQU6zK+exxZ+uM/c7Qiyte1DNLn9ErK19RSW0gWN5SscVp0LN4/WJpfeA2Hr9HqXGp6lPRRykNKUpYnqCj4o7SmD5jNLL3SKUlpu328TZXbNYLK17QHe/doVVaJTVK3mSvvuH9hn62/88UHxevrjR9xHStKV3jtF/4/eLf66XJL8nDYiQAgFjy1VfSmWfKU1+vgkGDVGpT0WfP1rKiIuV9LxDrWZw3kjgv9lhMc+KJkvWGff116amnpBdeUPz27epnC3QVFamPXe/zz5tuMtrjUb1VSWdlaVBysmrtPqxy1X4T2KFnz90/3rZt0ksvacRf/qK0JUsC5/XoobVHHaWKG29UliVfu9I3vuG0YUgoLNRAW5zLTscxww+IBCRgAXQ7tgDTaU+eptrGWh2Te4xGxY9yKhuLNxQ7CxYFp6vnL8iXd5hXucp1e8gIA0t8njH2DOdgvYD/88F/NOfzOapJq9HGjRtVHVet+oR6VdZVyu/xq9pfrfXlgYxs3tI83bP0nqb7GuwdrNFZozUoY5CS45OdJO+Gig3KL8l3eq4GJXmSdPiQwzV1wFRtX7Pd+fHX1cn+5IRkJ/n86OJH9UrBK87xRZMv6pLHBgAg7KzS8KSTpLIyVU2erLKDDtIE641p37fFxU1T1tfl5yvLenJa31DEHkuiTp8eODQ0aOV//qOU++/XoB07tKGgQBk1NcqwqujKSsX7/Yqvrpaqq5Vpt7U+svfd9/V99e8vjRkjDR4caGcRHx9Y3G3NGumLL5xew7Yr3peQoLipU6XDDlNJWZnyd8Z5pssS/ja2M8+Ub84cpX/4ofTHPwYWnwPgOhKwAGJesCeTWVa6TD/95KfOwkeH9D9Efzj4D3rks0dana5uCVnE5qJcJrgwQXAaYvK2ZI1JG6PckblaummplCKNO2ScGn2N+uy9z1SdXK3ew3tr/Yb1SotPU0lcidZWrFV5fbnWl613DrtjCddpvaaprKRMg4cM3qU/bVcn+y1hfHD6wfq04lNd/srl6lXdS6dMPYUpmQCAqI7zktav17Af/UhJlhwbPVrr7r5bfuv92sqUdafXJ2JuUa783cR5eQkJGjl6tAbl5uqTpUuVZcWi48Y5ydNXPvtMOdXVOigrSxvXrVNdz57qV1Ki5LVrlWDtBOzzZIfdmTRJWw47TNsrKzV22DDnrPy1a5uS/aZLE/59+6rgsMM05N135b/xRuX3768h3/8+cR7gMv4CAcS84AJKtX1r9d+i/6pBDZqUM0kvf/9lbcnf4vbw0IVaJj0tyTp8/J4rnq1SNs2T5iRdx/Ubp7jlcSorLdNh4w/TtLRpWrFoharSqtRjUA9tK9mmI/Y7Qll9szQgfYCGZg7VxJyJ6p/e31mNdvans5vddzDh70ayf0jFEOXX56tYxbrgzQv0WuprOvTAQ7t8HAAA7IvgAkoH+P0a+sorSqypUe2gQUp+7TU12pRzdMtFud7Oz5dX0pS9JUDj4rQjNVUVVtk6bpw+llRaVqYpVsk6dareXbFCg6qqNLlHD5Vu26Z+Rxyh7N69JauqHjpUskWuhgzRVms/MHv2bvvTdnXCf0G/fqrPydHIwkLl/vjHyhs8WOOsHQEA15CABRDzfH6fCrwFmr9tvnzyaVzaON17yL1O8pU+r91Ps6RnqjpU8RxaKb1943b1Te2rcQeM0+aVm3VcwnEa3TfQR7ihskFbVm1RcUJxxH3WrO/rYRmH6e3Gt1VeV64bFtygNye/6bRPAAAgavj9mrp1qwZ+8IEz1bw6K0tv3XyzhlRU0Oe1GwqtcLYq144kQFsmTjP69NGgceO0bfNmvX/ssU3rRThVttu3K6G8PPI+ax6PNh96qEa+957Sios1ZMYM6eOPJVukC4ArSMACiGkbyjfoyg+v1Mdltj9bGqiByt2cq38s/odzmj6vCFeFrQmtso3Ez1qKJ0Xn7n+uHv3sUb29+W3d9PZNuvWbt7o9LAAA2mbbNg269lplvvNO4PSIEXpjwgRte/ppDVmwgD6vCFuFrQmtso3Ez1pjYqL03e+q8YEH1OOzz6TLL5ceeCDQHxdAl6PMBUBMskWV/vD+H7TfPfvp/S3vK94Tr1NGnaJDdah65/Z2qhft4M2xsAnoPMHq2ODnK3g6Uj9rAzMG6ujeRzvbv3vvd816IgMAEJEaGwPTvUePVuarr8pvCaVjj5XOO08NiYlNFYxDLCEGdKLgZyv4+Yr4z1qfPlp/3HHyx8VJDz0k3X672yMCui0SsABiSk19je6Zf49G3zNa18+9XlX1VZrUe5LO6neWDup/kDPtGkBzo3uM1g9H/9DZvuSlS/TUl0+5PSQAAHZlq9Y/8ojTq1NXXCGVlKhmzBitPv106YgjqOwDWlE5eLA2//KXgRPXXy/dc4/bQwK6JVoQAIgJK4tX6sFFD+rRzx/V1qqtznm5PXN1+3G3a6Jnou5bcJ/bQwQi2lX7X6X4nvF6YNED+n/P/T8lJyTr9P1Od3tYAABI69dLDz8cqODbsCFwni2ENGuWVk2bJtm0cAC7VfyDH6i/9X/93e+kn/5USkmRLrnE7WEB3QoJWABRqb6+Xq8teE1vbXpLb2x8Q1+WfNl0Wf+0/rruyOt06cGXKiUhxVl9HsCeWXX4fSffp+r6aj2+5HGd9fRZ+sv0v+inU35K5TgAoEvZ4kar5s5Vxrx5ynjjDfVYtEgev9+5rD4rS3G/+pXirZ9lerpEnAe0zaxZUlWVdNdd0qWXSgUF0m9+Q+U40EVIwAKI6OB72bJlTacLqwu1IXGD3ln/jl7Le02FNYVfX9kv9Wnoo4NyDlLa1jT139hfK3usdC6KtNXngUjja/Q5fyfmlyN+qeryaj237jld9epVWla0TH854S/OzgwAAMIV5yUUF2v0xo2Kf+cdNb76qvaz5FCITb16qeHAAzU/PV2ekSM1eu1a5/yIW30eiDANPp/yd8Z5uugi5ZSVqa+18rjlFmnFikAFeUaG28MEYh4JWAARu4jWvz/4t/4878+qTKvUltotqmisaHadOMVpSOYQje07VnEr45TqTdW48eO09N2lmvNB85XoI231eSCSlGwu0ZxlX//NxBfE6xfjf6G7vrxL9y+8X3PXzNX/nfJ/OmbYMW4PFQAQC+rrtebZZ9Vw++0aWlWltC1blFxW1nRxsu1b93jkGTRI2m8//S8hQak9eugb48bp06VLm61EH4mrzwORJL+kpNnfzLuVlZr6m99o4K23Sk89Jb3/vnTvvdJpp7k9VCCmkYAF4Dq/3681pWv0yYZP9PGGj/XJxk/0WeFnqmusC1yhOnDkkUf799pfp4w7RcM0TPPXztfAkQOdy5auWtrsPoMrz5viDcVd/IyA6BP6N2MuGn2Rjp1wrC596VKt3L5S3/z7N3XK6FN01dSrdOywY2lLAABoG2sdYH1bP/lE+vjjwPGCBRq1Y8cuV63Zbz+lnnSS1g4frqpFi7S/JWAtFFy6VKkh1wuuPG/yionzgL0J/ZsxJWeeqYHf/KZ04YVSfr5kC9kdc4x01VXSKadI8fGujheIRRGRgL333nv1pz/9SYWFhZo4caL+9re/acqUKbu9/jPPPKOZM2dq7dq1GjVqlG6//XaddNJJXTpmAB3j8/u0fOtyvbLoFa0oXaGlJUu1vGy5SupKdrluRnyGMhMzNSJnhAZmDFT81nid0ucUjc4e7Uw3ixeBARBOJ48+WcuuWKYb5t7gLGT3ct7LzmF4r+GaPmK6jhlyjHpU9FD/Hv0V7wn8PY4dO1YJCRERXiBCEOcB3Yjfr4ZVq7Tx5ZeVuny5kpcuVdry5Urctm2Xq9b16KEdvXopw6ryBg7UFwkJWvntb2v06ECcN5LvEiC8jjwy0EPZKmH/9Cfp7bcDhwEDpBNOUOMxx2hVerrqBg6UEhOdmxDnAR3n+l/OU089pRkzZuj+++/X1KlTddddd2n69OlasWKF+vXrt8v1P/zwQ33ve9/TbbfdplNOOUVPPPGETj/9dC1atEjjx4935Tl0t/5Msf4Pb3d7vuGoZt1es11bq7aqsLLQqWxdWbxSq0pWBY63r1JVfdUut7N2An2S+iilNEVeeTVhxAQVLS5S5rBMjRsyzrnO0iVLNWdFYJo0bQWArukJa+6efrd+NvVnumf+PXr080eVX5LvJGTtYGxnSI+EHkpoSNCEnAnOTpOs1CzVV9QrPSFd6UnpSk9M14RRE5TVI0uZKZnOgb6ysY84L/J1t7inuz3fsFSzlpZKW7dKW7ZIa9ZIq1ZJK1c2HRIqKjSk5c08Hu3IytKKlBSVeb3KmTBBrxQX68DMTKetgFkZ0lqAtgJAF/WEtX8Db7lFCZddJs2eLT3wgLRxo/TQQ4p/6CGNsbgwLk4NPXqoMjFR1ePHB3aa9O2rxsxMFdbUqDE9XY09e2rQhAlK6NNHysyU7O83NZUFvoAQrkcad955py699FJddNFFzmkL0F955RU9/PDDuu6663a5/t13360TTjhBv/rVr5zTs2bN0htvvKF77rnHua3bHv/8cS1ctbDZedn9shUXF9fu++rM6Z1WddjQ2KDCLYXyy++ctkNWnyyb161GX2PTeS0PRcVF+jT/UyX3SHZuu6Nqhw4YfIAye2U6U8LjPHHOodm2jd3is5JSZzt4eZ+sPkqIT2i6bvCy1m6/u/OC59tY6hvrnYoan3zO49lxH/tH33n4r5+nHSwx2PK5tXYde74L1yxUUo8k57WrqajRsN7D1DOjp3N5eka6c//B6wffK/svdNsuqyivaDrfTjvPJy4w/szMTMXHxTvXt8vKSsuc8+10r169nMuc+wu536bPxs7z7H0r3l7sPA+7j4zMQPN0ex3s/S4tK3XOD76/9tjOa6g45/HtvXBOedp2sDFYb9bKukoniVpZW6ktpVtU01CjmsYaVfuqtbV6qxp8DXv8PCZ5kuRN8Gpwn8Hyb/arV3IvHTrlUCXEJTj9W22O2ajRo1RfWL/badK0FQC6pidscUGxZp45UxMmTNDfTvqbbjn6Fv3j/X/o460f66NNH6lgR4Ea1ajyhnLntu8UvuMcWvVB85OJcYlOYtYO/TL6NSVmLWGbGJ+opPgk5zott4P/BtrielstCRBi6pip+u6E74bplUF3j/Man39eW999t9l5/bKzFd+BOK9Tf5Tad319vYoKC51tjy1I5POpr60Wb5fb6cbGwHGLQ1lRkXp8+qm8ycnOKvPlO3ao4oAD1Mt+QNsY7bkFj0O2bcmj7ZaIs9M7z+vdp4/ibNpqi+u2dvu9Xr7zOW3d+ZyCz6tvnz6Kt+u0fC52nT2d3nme83wXLlRmUiDOK6up0YZhw+Tt2dO53Jue/vVrtjPOa3qOIds+u6+KiqbzLd6yJKPFWnZscZbzWuy8bmlZmXO+dsZ5zmUtPwehj+HsDGtUiU2v3/n8e2VkNI3NLisrKXHO9zc2Oq+NZ+dr6I+Lk9ce35LKwde1rYfaWqmy0lkp3VdZqaqtWxVfXS1PTY1SamrksX9z63a2iNoNX0KCdni9Shs0SIvt+Wdm6sBp05SamKjVS5cqS9KYMWP05dLm7aNCp0nTVgDomp6wzt/azECcp9tvV8ONN6rg8cfV86OPFP/BB/KuW6f4hgYlVVSot93YvgN3fg/av2ID9vJvgc+Ss+npSurbV55evQKJWVvwy/4NtqpaOwS3g8c7/w1sbCXO6zd+vOIvvjicLw8QmwnYuro6LVy4UNdff33TeRa0HHfccfroo49avY2db5UUoayS4vnnn2/1+rW1tc4hqGxnc/fy8sAPxc525xt3alHxIsWkkDZNa/MCq47GtJDnu65wnVTo5mCiT1pcmvx1fvWI7yGVSimNKcrtlaue/p4qzyuXd6BXQ71DtbZgrfzJfm1O3+zcrnh9sbPyQkFaQbNtty9z+/F5Tt33Obn5fOtq6lS/o16LFy9Wpf0glxU6rdKzc59VRt8MZeVladjAYeozuo+qGqu0ftV6VdRWKKVPikpKSxSXHqekjCTV+mpVVVWlOn+dfIk+NSiwk6Ze9dq+879129apMxxacKhOGhKe6erB2CG48w3dL84rvfdeZb75ZrPzdp3T4Z60FqcDf7V7ZpNK+4Scdn5gr12rtryCSR14vPbq0eL0vr7eLZ+vJQO1bl2HnsOeGiFV7uFHV3seI3EPt2vP4++L4G710N3i9ampqvD7Vd+jh9Z4PKpISVFqTo6qevbUO+Xl2i8zUwcNHaq3166VlQfUWiJd0oriYud0ckFBs+3OuqwrHiOSLnP78XlO0f2cKuvqVF2/a5y3+sknNTAjQwszM7X/4ME6tG9fJVRVadn69fKVl2tIaqpS6upUXlqqvnFxykpIUHVlpRLq6tTD51NiQ0NgZ1FDg2Q7ikpKVLt+vTrjO2Db6NFKPecchQNxHmI6Abtt2zY1NjYqO6QZtLHTy5cvb/U2Vu3Y2vXt/NbYFLbf/va3u5w/aGdDdwDhUb1z5awa1TSdt0EbXBwRgI56Xq0nvyLRx/pY3hnesD5GRUWFvFbBgT0izgNiWM3O+C50IS1baAtA9NnNTs6IZK0TwhyDEechZlsQhJtVXYRWUth0xe3btysrK4sVnDt5b5H92CkoKFCGTSlA1OE9jA28j7GB9zEyOa1lKirUv39/t4eCnYjzugb/JkU/3sPYwPsYG3gfIxNxHmI6AWu9OuPj47XFGriHsNM5OTmt3sbOb8/1k5OTnUMo68mE8LAvEL5EohvvYWzgfYwNvI+Rh4qItiPOiz38mxT9eA9jA+9jbOB9jDzEeQinDqwY0HmSkpJ00EEHae7cuc0qF+z0tGnTWr2NnR96fWOLM+zu+gAAAOh6xHkAAABAhLQgsGljF1xwgQ4++GBNmTJFd911l7NQR3C13PPPP18DBgxwenyZq666SkcffbTuuOMOnXzyyXryySe1YMECzbFV/AAAABAxiPMAAACACEjAnnvuuSoqKtJNN93kLLAwadIkvfrqq00LMKxfv95ZMTfosMMO0xNPPKEbb7xRN9xwg0aNGuWsjDt+/HgXnwVs+t/NN9+8yzRARA/ew9jA+xgbeB8RK4jzYgP/JkU/3sPYwPsYG3gfge7J47dOwwAAAAAAAACA2OoBCwAAAAAAAACxjAQsAAAAAAAAAIQJCVgAAAAAAAAACBMSsAAAAAAAAAAQJiRgsc/uvfdeDR06VCkpKZo6darmz5/v9pDQDrfddpsOOeQQpaenq1+/fjr99NO1YsUKt4eFffCHP/xBHo9HP//5z90eCtpp48aN+n//7/8pKytLqampmjBhghYsWOD2sAB0Y8R50Y04L/YQ50Uv4jygeyMBi33y1FNPacaMGbr55pu1aNEiTZw4UdOnT9fWrVvdHhra6J133tEVV1yhjz/+WG+88Ybq6+t1/PHHq6qqyu2hoQM+/fRT/d///Z8OOOAAt4eCdiopKdHhhx+uxMRE/e9//9PSpUt1xx13qFevXm4PDUA3RZwX/YjzYgtxXvQizgPg8fv9frcHgehllRC2V/2ee+5xTvt8Pg0aNEg//elPdd1117k9PHRAUVGRUyFhAftRRx3l9nDQDpWVlTrwwAM1e/Zs3XrrrZo0aZLuuusut4eFNrJ/Mz/44AO99957bg8FABz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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_t = numeric_train[nan_columns[15]]\n",
    "\n",
    "test_density_fillna(x_t, [\n",
    "    lambda: 0,\n",
    "    lambda: x_t.mean(),\n",
    "    lambda: x_t.median()\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule[nan_columns[15]] = x_t.median()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_t = numeric_train[nan_columns[16]]\n",
    "\n",
    "test_density_fillna(x_t, [\n",
    "    lambda: 0,\n",
    "    lambda: x_t.mean(),\n",
    "    lambda: x_t.median()\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule[nan_columns[16]] = x_t.median()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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3SvHxKp82TWFjYCDOU3Gx2yMBIhIJWAAAIrT9wPmjz1esJ1bhYlDqIOe0uIbAHAAA4FiqXzV7trwpKQobVgEbTMCy4CrQaSRgAQCI0ATsRWMuUjgJJmBtES6vurbKLgAAQFQLJmAvCq84TwMGSDExzuJgaXV1bo8GiDgkYAEAiCD7KvdpTcEa5/wFYy5QOEmNT1VyXLJzviq2yu3hAAAARJbaWmnp0vBMwMbGBpKwtpBrFXEe0FkkYAEAiCCvbn3VOZ0+dHpzxWm48Hg8zWMiAQsAANBJb74pWXXp8OHShAkKOwfbEAyorHR7JEDEIQELAEAEeX37687pnJFzFI4GpgYWaKiMJTAHAADolNcDcZ7mzLFvthV2Di7ERQUs0HkkYAEAiBB1dXV6ZeMrzvnsqmwtW7ZMeXl58nrDp9/qoBQqYAEAALoS51W89JJzfuOQIWEZ55GABbou7hhuCwAAetGLb76ogroCeeTR+zve14c7P1T+m/nKGpulURqlcKqAdRKwTW6PBgAAIDKseuMNnbZ+vXO+fNMmae9ebcnPV05WljRqVFi1IHASsH6/26MBIgoJWAAAIsSaA4HFt4amD9WYKWOc84VbCxVOgj1ga2Nr1dREBhYAAKAj+n34oWIsqZmZqZknneRcl1cYXnGeLBkcG6t4r1eptmAYgA6jBQEAABEi70Ceczoic4TCVUp8ilLjU53zVR6mpwEAAHRExprAF+0aEb5xnmJipOxs52w/FuICOoUELAAAEeL9svfDPgEbWgVLAhYAAKBjMt8PxHnKzVVYO9iGoB99YIFOoQUBAABhvBjDypUrnfMFtQXaV7fP6f86vN9whTPrA7vtwDZVeqiMAAAAOFqcF1NTo1Pz88O/AjZkIa4MErBAp5CABQAgTFlQvuDZBcoZnaMt9Vuc6/r5+ikxLlHhbFDKwQrYGAJzAACA9uK8vAULNCUnR/327FGsz6fq5GSlZmYqEhKwtCAAOocWBAAAhDFLvuZOzlVVv0AyM8uXpXCXnRLoDVbtqXZ7KAAAAGHLkq+zc3M16eCCVsW2yFW4O5iATa+pkWzRMAAdQgIWAIAIsLN8p3Oa5Q//wHxAygDntFa1avI1uT0cAACA8LZzZ+QkYDMz5fN4FOf1SlTBAh1GAhYAgDBX01ij0tpS53ymL8ynpUlKjU9VnC9O8khltWVuDwcAACB8WSJz717nbEm4tx8wsbGqSE4OnN+/3+3RABEjLBKw999/v0aMGKGkpCTNmjVLK1asaHffRx55RB6Pp8VmtwMAoK/aXbHbOU31pipBCQp39rc51ZfqnN9fS2Ae7YjzAAA4gsJCqalJdfHxqkoNxE/h7kBwnCRggchJwD799NOaN2+ebr31Vq1evVpTpkzRBRdcoKKionZv069fP+3bt69527FjR6+OGQAANxKwmU0RUBVxUIo3xTndX0NgHs2I8wAAOIrdgTivMCPDvsVWJCABC0RgAvaee+7Rddddp2uvvVYTJkzQAw88oJSUFC1cuLDd21g1xODBg5u3nJycXh0zAAC9aU/FnohLwFq1rqECNroR5wEA0LEEbEEktB84qIwELBBZCdiGhgatWrVKc+bMOTSgmBjn8vLly9u9XVVVlXJzczV8+HBdeumlWrduXbv71tfXq6KiosUGAECk8Pl92l0ZeRWwzS0IqICNWsR5AAD0zQQsFbBAhCVgS0pK5PV6D6tssMsFBQVt3ubEE090qib+/ve/a9GiRfL5fDr99NO1++A/Wq0tWLBAGRkZzZsF8wAARIpyX7kavA2Kj4lXmjdNkYIKWBDnAQBwZPG1tVJZYMHSwkhMwNrYbRExAOHfgqCzTjvtNF199dWaOnWqzj77bD3//PMaOHCg/vjHP7a5//z581VeXt687dq1q9fHDABAVxU3FTunw/oNU0wE/dkO9oCtbqxWXVOd28NBhCDOAwBEk/SSksCZgQPVEB+vSFGdmKim2FjJ75cOHHB7OEBEiHPzzrOzsxUbG6tCW/UvhF22nl8dER8fr5NPPllbtmxp8+eJiYnOBgBAJCdgj0s/TpEkXvFK9Ceq3lPvtCGwBDKiC3EeAABHll4ciPM0LMLiJI9HlSkp6l9ZGWhDMGCA2yMCwp6rpTQJCQmaNm2alixZ0nydTTWzy1YB0RE2te2DDz7QkCFDenCkAAC4nIDtF1kJWJPiD1TB0oYgOhHnAQBwZP2KigJnjou8OK+KPrBA5FTAmnnz5mnu3LmaPn26Zs6cqXvvvVfV1dXOarnGpqENGzbM6fFl7rjjDp166qkaM2aMDhw4oDvvvFM7duzQV77yFZcfCQAA3auysVIHfAeaE7DlKlckSfWnqkxlJGCjGHEeAADt8HoPtSCwHubbtyuSVJKABSIrAXvVVVepuLhYt9xyi7Mgg/X8Wrx4cfOCDTt37nRWzA0qKyvTdddd5+zbv39/p7LinXfe0YQJE1x8FAAAdL9NlZuc08ykTKUmHAxyIywBa0prSt0eClxCnAcAQNtSduxQbFOTTRmxvj0kYIE+zvUErLnxxhudrS1Lly5tcfnXv/61swEA0NdtrNzonA5NH6pIFEzAUgEb3YjzAAA4XNrGQJwna7MT8mVkpKAFAdA5kfdbDgBAlFXADkkbEvEJWL+tkgsAAABH2qZAnKcOLkwZthWwthBXQ4PbwwHCHglYAADCVKQnYG0RLo88avA2qKqhyu3hAAAAhI20zZsDZyJ0ocnG+HgpJbDgKlWwwNGRgAUAIAyV15Vrd+1u5/yQ9MgMzGMUo4ykDOd8aS19YAEAABxe76EE7NDIbDXlyMoKnJYS5wFHQwIWAIAwtKZgjXOaGpOqlPiD1QURKCspEJiX1ZW5PRQAAIDwsHmzYmtr5Y2NlQYMUMQnYMuI84CIWIQLAIBoV1dXp5UrVzZffnbns85pVszBwDZC9U/uLx0IVMD2V3+3hwMAAOB6nDfwtdc0zhayyspSRgQuwNWsf/9DFbDDh7s9GiCskYAFACAMWFC+4NkFyhmd41x+s/pN5zSpLkkRn4ClAhYAAER5nJe3YIGm5ATivLSDydji5GQFmjVFeAKWCljgqEjAAgAQJiz5mjs51zlfsbJCapD6+fspkjW3IKgtI+oAAABRy5Kvs3MDcZ6WLnVOyjIiOv1KAhbohAiudQcAoG9q8DaopKbEOZ/hy+gTFbAswgUAACDJ75f27XPOlvWL7C/am3vAlpfL4/W6PRogrJGABQAgzBRUFTinib5E2X+RrH9SIAFb21SrBn+D28MBAABwl1WL1terKSZGFWlpimipqVJ8vHM2qarK7dEAYY0ELAAAYWZfVaAqIqMpsqtfTWJcolLiU5zzld5Kt4cDAADgroPVr/vT0+WP5AW4jMfT3IYgqZI4DziSCP9tBwCg7ymoDFTA9vNG+LS0Vn1gK30E5gAAIModTMAWR3r7gVZtCEjAAkdGAhYAgDBTWF3onKY3pasvCPaBrfBVuD0UAAAAdxUG4ryS9L4R5wUrYJNJwAJHRAIWAIAw4vP7VFRd5JxP9/atBCwtCAAAQNQLJmD7SgUsLQiADiEBCwBAGNlfs19ev1fxMfFK8QV6p/aVFgRVPhZnAAAAUay2VjqYqCyN9AW4gmhBAHQICVgAAMKw/UBOao488qgvoAUBAADAoepXZWaqIT5efa4C1udzezRA2CIBCwBAGCZgB6UNUl+RlRyojKjx1ajR1+j2cAAAANxNwObkqM/IyJA8HsV6vUrYv9/t0QBhiwQsAABhpKiqqLkCtq9IjU91Wir45VdBXYHbwwEAAHA3ATuo73zRrtjYQBLWqmD37nV7NEDYIgELAECYtiDoKzweT3Mbgj21e9weDgAAgDuKivpeBWxoH1gSsEC7SMACABAmGvwNKq8vd84PSu1DlREhC3GRgAUAAFHJ+qP21QTswT6wyXuI84BuTcB+9NFHXbkZAAA4gjJvmXPaL7GfkuOT1ZcEK2D31lIZEe6I8wAA6H5JVVVSY6MUF9dcMdpnBBfiogIW6N4E7JgxY3Tuuedq0aJFqqur68ohAABAK2VNZX2u/UBQZlKmc7qvdp/bQ8FREOcBAND9UktLD/V/jYnpmwnYfcR5QHu69Fu/evVqTZ48WfPmzdPgwYN1/fXXa8WKFV05FAAAOKjUW9pnE7D9kwKBOYtwhT/iPAAAul9qWVnfW4ArKDPwRTsJWKCbE7BTp07Vb37zG+3du1cLFy7Uvn37dOaZZ2rixIm65557VFxc3JXDAgAQ1YItCHLS+nYFrN/vd3s4OALiPAAAejAB29f6v4ZUwCZYlW9trdujAcLSMdW9x8XF6dOf/rSeeeYZ/fKXv9SWLVv03e9+V8OHD9fVV1/tBOwAAODofH7foQRsat9NwFZ7q1VWd/ADCMIacR4AAN2nTydgk5LUFB8fOL99u9ujAfpeAva9997TDTfcoCFDhjgVERaUb926Va+99ppTNXHppZd230gBAOjDCusK1aQmxXhilJXcxxZmkBQfG68kT5JzfvsBAvNIQJwHAED3iKmtVVJlZd9tQeDxqC4tLXCeBCzQpjh1gQXhDz/8sDZu3KiLL75Yjz32mHMac7CR9MiRI/XII49oxIgRXTk8AABRZ3t1IFjNTslWbEys+qK0mDTVeeu0rWybThlyitvDQTuI8wAA6F7JO3fKY2dSUqTUVPVF9WlpSrMq323b3B4K0HcSsH/4wx/0pS99Sddcc41TFdGWQYMG6aGHHjrW8QEAEBW21wQSsANTBqqvSo9JV4m3RNsOEJiHM+I8AAC6V8qOHYEzA/tunNdcAUsCFui+BKxNPTv++OObKyGCbFGNXbt2OT9LSEjQ3Llzu3J4AACizvaqQxWwfVVabJrUSAuCcEecBwBA90oNJiX7cgI2PT1whhYEQPf1gB09erRKSkoOu760tNSZlgYAALpWATsotQ/2BQtpQWCogA1vxHkAAHSvlGBSsi8nYKmABbo/AWsVEG2pqqpSUlJggQ0AANDxv6vBHrB9vQWBoQI2vBHnAQDQvaIqAUsFLHDsLQjmzZvnnHo8Ht1yyy1KsQbSB3m9Xr377ruaOnWqOuv+++/XnXfeqYKCAk2ZMkX33XefZs6cedTbPfXUU/rc5z7nrML7wgsvdPp+AQAIB7srdqvWWyuPPMpKzlJfr4C1BKwl+SyeQPggzgMAoAfU1ipp374+n4C1Rbgc+/dLlZVSsCUBgM4nYN9//33n1D40ffDBB07/ryA7b0H1d7/73c4cUk8//bQT8D/wwAOaNWuW7r33Xl1wwQXOyru2wEN7tm/f7tzX7NmzO3V/AACEm/XF653TfjH9FBsTq74qNSbVSTLXNNaoqLpIOWk5bg8JIYjzAADoAZs2yePzqTExUfGpqeqrvAkJauzXT/EVFYE2BJMnuz0kIHITsK+//rpzeu211+o3v/mN+vXrd8wDuOeee3Tdddc5xzQWoP/zn//UwoULdfPNN7d5G6vC+PznP6/bb79dy5Yt04EDB455HAAAuGVd8TrnNDM2U31ZrCdW2YnZKq4vdqpgScCGF+I8AAB6wLpAnFeTkaGMPj77p27IkEAC1toQkIAFjr0H7MMPP9wtQXlDQ4NWrVqlOXPmHBpQTIxzefny5e3e7o477nCqJr785S8f9T7q6+tVUVHRYgMAIBwrYPt6AtYMSRrinLIQV/gizgMAoButD8R5NZl9P86zBKyDhbiArlfAfvrTn9YjjzziBOR2/kief/75Dh3TVti1KoecnJYVMHZ5w4YNbd7mrbfe0kMPPaQ1a9Z06D4WLFjgVFAAABCuoioBmzxEa8vXalsZgXk4Ic4DAKCHRFECtn7w4MAZErBA1xOwGRkZzYtl2Hk3VFZW6otf/KL+9Kc/KTs7u0O3mT9/fvOiEsYqI4YPH96DowQA4Mjq6uq0cuXKQ/02Cz5wzqcrPWoqYK0FAcIHcR4AAN0f55lpq1bJlrWs6obZJRFTAWstCAB0LQFr09HaOn8sLLiOjY1VYWFhi+vt8uDgNychtm7d6izK8MlPfrL5Op/P55zGxcU5CzqMHj26xW0SExOdDQCAcGFB+YJnFyhndI6qfdWqaqqS/FJDaYOioQLW0IIgvBDnAQDQfXFe3oIFmpKTI4/Xq+Rdu5zrd3q9mqK+jRYEQDf3gK2trVVNTU3z5R07djir2r766qudOo6tqDtt2jQtWbKkRaBtl0877bTD9h83bpyzKq9NSwtun/rUp3Tuuec656l4AABECku+5k7OVeLxgeRRqi9VsYpVXzc4KZB4IwEbvojzAAA4NpZ8nZ2bqzNTU+Xx+1UXF6e6KPjCsC60BYHf7/ZwgMisgA116aWXOv3B/vd//9dZmXbmzJlOkG29vmy126997WsdPpZNG5s7d66mT5/uHMcC/Orq6ubVcq+++moNGzbM6fGVlJSkiRMntrh95sE+Kq2vBwAgEhTXFDunad40RYNgC4IdB3bI5/cpxtOl74LRg4jzAADoJsWBOK8sLU062OqnL6sPVsBWVkplZVJWlttDAsJGlz71rF69WrNnz3bOP/vss840MquOeOyxx/Tb3/62U8e66qqrdNddd+mWW27R1KlTnQqHxYsXNy/YsHPnTu3bt68rwwQAIOxFWwI2OzFbcTFxavQ1am/lXreHgzYQ5wEA0L0J2FJLwEYBn1X5shAX0H0VsDYtLT09sFCITUezKomYmBideuqpToDeWTfeeKOztWXp0qVHvK2t2AsAQKQqrg5JwEZBMaglX4f3G+60INhWtk3H9TvO7SGhFeI8AAC6SZQlYB0jRkgFBYEE7LRpbo8GCBtd+qg3ZswYvfDCC9q1a5deeeUVnX/++c71RUVF6hcFK/sBANAd/H5/1FXAmpH9Rzqn2w+wQm44Is4DAKAHWhBEi5GBOE/bifOAY07A2jSy7373uxoxYoRmzZrVvJCCVUmcfPLJXTkkAABRp7qxWnVNdfLIo1RvqqLFiIwRzikLcYUn4jwAALqB1yuVljpn90dbBayhBQFw7C0IPvOZz+jMM890enZNmTKl+frzzjtPl19+eVcOCQBA1LYf6J/cX7GKVbSgAja8EecBANANLPnq80kJCapOSlLUpGCpgAW6LwFrbEEG20LZ6rYAAKBjgu0HBqYMVDQZmRkIzKmADV/EeQAAdE/7AQ0cKHk8UrQlYKmABY49AVtdXa1f/OIXWrJkidMPzGff6oT46KOPunJYAACiSlF1UVQmYEdkHmxBUEZgHo6I8wAA6AZFRYcSsNEk2ILAKmD9/uhKPgPdnYD9yle+ojfeeENf/OIXNWTIEHn4hQIAoNNKakqc04GpA1WnOkVbC4LdFbvV5GtSXEyXJ+SgBxDnAQDQDUpKojMBe/zxgaRrbW0gCZ2T4/aIgLDQpU88L7/8sv75z3/qjDPO6P4RAQAQhS0IdmmXosXgtMFKjE1Uvbdeu8p3NSdkER6I8wAA6OYWBGVlihoJCdJxx0m7dgXaEJCABRwx6oL+/fsrKyurKzcFAACS6nx1qmmscc5np2QrmsR4YpSbmeucpw9s+CHOAwDgGFn7nmitgA1tQ0AfWODYErA/+clPdMstt6imJvDBEQAAdE6ZN1AJ0T+pv+Jj4xVtggtxbT/ACrnhhjgPAIBjk1xREUjCxsdLGRmKOsGFuKwPLICutyC4++67tXXrVuXk5GjEiBGKt39UQqxevborhwUAIGqUe8ujcgGu1glYFuIKP8R5AAAcm5Ty8kPVr9HYSz2YgKUCFji2BOxll13WlZsBAICDDvgOOKfZqdHVfiBoRGZgahotCMIPcR4AAMcm5cCB6G0/YGhBAHRPAvbWW2/tys0AAMBBB7wHorsC9uDCW7QgCD/EeQAAHJuoT8DSggDonh6w5sCBA/rzn/+s+fPnq7S0tHlK2p49e7p6SAAAoi4BOyh1kKK6BQEVsGGJOA8AgK4jAXswAbtjh+T1uj0aIHIrYNeuXas5c+YoIyND27dv13XXXeeslvv8889r586deuyxx7p/pAAA9BEHGg6ozl/nnM9Oie4WBHsr96q+qV6JcYluDwkHEecBAHAMmppa9oCNRsOGSXFxUmOjtG+fdNxxbo8IiMwK2Hnz5umaa67R5s2blZSU1Hz9xRdfrDfffLM7xwcAQJ+zo2aHc5qRmKGE2ARFI0s8p8anOud3lAeeD4QH4jwAALouad8+xfh8gQRkZqaiUmysdPzxgfP0gQW6noBduXKlrr/++sOuHzZsmAoKCrpySAAAosb26kA/rIGpUVoVIVsQ2NPcB3ZbGYF5OCHOAwCg61KCfU+t+tXjUdQKtiEgAQt0PQGbmJioioqKw67ftGmTBkZriT0AAJ1NwEbpAlyt2xDQBza8EOcBANB1Kdb31ET738wRgTiPBCxwDAnYT33qU7rjjjvUaP08DlaxWE+w73//+7riiiu6ckgAAKIGFbAtF+LacYAWBOGEOA8AgK5LDSYcs6Ozz3+bC3EB6FoC9u6771ZVVZVTBVFbW6uzzz5bY8aMUXp6un72s591/ygBAOhDqIBtWQG7YvMKLVu2rHmrqwssUAZ3EOcBANBNLQii2cEK2ANr1hDnAZLiunIjWxX3tdde09tvv628vDwnSD/llFOcFXMBAED7ymrLtL9hv3OeBGwgMF+1d5UWNi50zhduLdR8zdfs2bNdHl30Is4DAKCLvF4l04KgRQI2ZsMGaWEgzssrLJTmE+chOnU6Aevz+fTII4/o+eef1/bt2wOLaIwcqcGDB8vv9zuXAQBA2/JL8p3TFE+KEuMSFc2CCdj6+HrlTs51ezggzgMA4Njs2KHYhgb5YmIU07+/otrBBGx6XZ1mDx8uxXRpAjbQZ3TqN8ACb+sL9pWvfEV79uzRpEmTdNJJJ2nHjh265pprdPnll/fcSAEA6APWFa1zTjNjMxXtgj1g6/x1avQG+o3CPcR5AAAco3WBOK8mI4OE45Ah8sXHy+P3S20s7glEm05VwFpFxJtvvqklS5bo3HPPbfGz//znP7rsssv02GOP6eqrr+7ucQIA0CesL17vnJKAlTKTMpUam6pqb7UO1B2I+kXJ3EacBwDAMVofiPNqMjOVpigXE6O6nByl7N4tHTggZRL7Irp16iuZJ598Uj/4wQ8OC8rNxz72Md188816/PHHu3N8AAD0KetLSMAG2XT2wcmDnfOWgIW7iPMAAOi+BCyk+sGBOM9JwAJRrlMJ2LVr1+rCCy9s9+cXXXSRs1gDAABoGxWwLQ1OOpiArScwdxtxHgAAx4gEbAt1Q4YEzpCABTqXgC0tLVVOTk67P7eflZWVdce4AADoc8rryrW7YrdzPiMmw+3hhIUhSYHAnApY9xHnAQBwDHw+ErCtkIAFupiA9Xq9iotrv21sbGysmpqaOnNIAACiRn5JvnOanZCtxJhEt4cTFmhBED6I8wAAOAY7d0o1NfLFxak2Pd3t0YQFWhAAXVyEy1bHtVVwExPb/tBYX1/fmcMBABBV1hUFVsYdkTpC0aipsemwKex1BXXOKQlY9xHnAQBwDNYF4rza4cOdBaiiTX1Tkza0ivMKq6o0zs6QgAU6l4CdO3fuUfdhZVwAANr2YdGHzumotFFSlaLO/p37tah0kVb5VjVf997q96QTSMCGA+I8AACOwYeBOK969GhFow3796t00SJp1aE4b21enj5jZyoqbKqNm8MDIisB+/DDD/fIIO6//37deeedKigo0JQpU3Tfffdp5syZbe77/PPP6+c//7m2bNmixsZGnXDCCfrOd76jL37xiz0yNgAAusuHxYHAfGTqSBVWFSoaZQ3PUu7k3ObLuz/arQ/1oWoaa9TgbXB1bNGOOA8AgGNPwNaMHCk1Nioajc/K0uzcQ3FeXkGBvDExirX+uJaEBaKY63XxTz/9tObNm6dbb71Vq1evdgLzCy64QEVFRW3un5WVpR/+8Idavny5s1rvtdde62yvvPJKr48dAICuVMCOTBvp9lDCRrw/XnH+wPfBVMH2PcR5AICo8cEHzkm1JWAR4PGoOjk5cJ42BIhyridg77nnHl133XVOcD1hwgQ98MADSklJ0cKFC9vc/5xzztHll1+u8ePHa/To0brppps0efJkvfXWW70+dgAAOqqkpkQFVQXO+REp0dkDtj3J/kBgTgK27yHOAwBEBVukMj+w2GrNqFFujyas1JCABdxPwDY0NGjVqlWaM2dO83UxMTHOZat86MhiEUuWLNHGjRt11lln9fBoAQA49gW4RmaOVEpcitvDCSsp/sDzQQK2byHOAwBEjS1b7A+flJqqusGD3R5NWKECFuhCD9juVlJSIq/Xq5ycnBbX2+UNGza0e7vy8nINGzbMWY03NjZWv//97/Xxj3+8zX1tn9BVeyvoOwIAcLH9wMRBE90eSlhXwOaoZUyAyEWcBwCItv6vOukk+7bR7dGEFRKwQBgkYLsqPT1da9asUVVVlVMZYb3FRo0a5Uxba23BggW6/fbbXRknAABBJGDblyxaEOAQ4jwAQMQmYCcS57VWnXJw5hcJWEQ5VxOw2dnZTmVDYWHLlaDt8uAjlO3b9LUxY8Y456dOnar8/HwnAG8rMJ8/f74TuIdWRgwfPrxbHwcAAEfzYXFIApb4s/0esPFujwbdhTgPABA1SMC2ix6wQICrtfEJCQmaNm2aU90Q5PP5nMunnXZah49jtwmdfhYqMTFR/fr1a7EBANCbrJclFbDtYxGuvok4DwAQNUjAHr0FQUWFPF6v28MBorcFgVUtzJ07V9OnT9fMmTN17733qrq62lkt11x99dVOHzCrfDB2avvayrgWjP/rX//SX/7yF/3hD39w+ZEAANC2PZV7nORirCdWJw44USu0wu0hhWUCtrapVo3+RreHg25EnAcA6PPq6qTNmw8lYG1BLjSrT0iQ4uKkpiYlVlerzu0BAdGagL3qqqtUXFysW265RQUFBc5Us8WLFzcv2LBz505nKlqQBe033HCDdu/ereTkZI0bN06LFi1yjgMAQDgKVr+OHTBWiXGJbg8n7MQrXslxyU4CtspX5fZw0I2I8wAAfZ4tLOnzSVlZkrXYIQHbkscjZWba6pxKqqoiAYuo5XoC1tx4443O1palS5e2uPzTn/7U2QAAiBS0Hzi6zKRM1VbVqspLAravIc4DAPRpH3xwqPrVko043MEEbGIVcR6il6s9YAEAiAYkYDuWgDVUwAIAgIhC/9eOJWAlpwIWiFYkYAEA6GFrC9c6p5MGTXJ7KGErIynDOSUBCwAAIsraQJynScR57SIBC5CABQCgJzV4G7SueJ1z/uQhJ7s9nLDVP6m/c1rpq3R7KAAAAB23Zk3g9GTivKMlYGlBgGhGAhYAgB60oWSDk4TNSMxQbkau28MJW7QgAAAAEaegILBZ71daELSPCliABCwAAD1pTUGgKmLK4CnysDBDu0jAAgCAiJOXFzgdO1ZKTXV7NOFfAVtTI09Dg9ujAVxBAhYAgF5IwE7Nmer2UCIiAdvgb1BVE0lYAAAQQe0HphLnHVFKihQf75xNLCx0ezSAK0jAAgDQGwnYwQTmR5IQm6CU+BTnfGEdgTkAAIgAJGA7xmaBBdsQWMsGIAqRgAUAoIf4/X4SsF2ogt1bu9ftoQAAABwdCdiOCyZg9+1zeySAK0jAAgDQQ3ZX7FZZXZniYuI0YeAEt4cT9jITA4F5QR2VEQAAIMzV1EibNgXOk4DteB9YKmARpUjAAgDQQ4LVr5Z8TYxLdHs4YS8jKcM5JQELAADC3ocfSj6flJMjDR7s9mjCHy0IEOVIwAIA0ENoP9A5/ZP6O6cFtQTmAAAgzNF+oHNoQYAoF+f2AAAA6KvWFAYC8/TqdC1btqz5+ry8PHm9XhdHFt49YPfVEZgDAIDISMDuysrS9lZx3kTivMORgEWUIwELAEAPV8CuXL1S1furm6/PfzNfWWOzNEqjXBxd+CZgaUEAAAAiJQG7fv16pSxc2Hz1lvx85WRlSaOI89pKwCaUlkq1tVJystsjAnoVCVgAAHpAeV25Pir7yDk/avgo5U7Obf5Z4dZCF0cW/j1gq5qqdKDuQHNCFgAAIKxYhevatc7ZASNHanruoTgvr5A4r03JyWqKi1NcU5O0c6d04olujwjoVfSABQCgB6zet9o5HZw0WEkxSW4PJyIkxCYoyRN4rraVbXN7OAAAAG3buFGqrpY3OVm1/fq5PZrI4PGoPj09cH4bcR6iDwlYAAB6wIo9K5zT8f3Guz2UiJIWk+acbjtAYA4AAMLUikCcVzV2rBRDWqWj6tICcR4JWEQj/qUAAKAHrNgbCMzHpY9zeygRJT0mUBkRbN8AAAAQrgnYynHEeV1KwH5EnIfoQwIWAIAesHLPSueUCtjOSY8NJGBpQQAAAMLWykCcVzmeOK8z6mhBgChGAhYAgG5WUFWgXRW75JFHY9PHuj2ciGxB8NEBKiMAAEAYqq+X8vKcs1TAdk5zApYKWEQhErAAAPRQ9euEgROUEpfi9nAiCi0IAABAWLPka2OjlJ2t+iFD3B5NZCZgt26V/H63hwP0KhKwAAD00AJcM4bNcHsoEVsBu/3Advn8PreHAwAA0Gb/V82YIXk8bo8mMnvAVlRIZWVuDwfoVSRgAQDoZiv3BipgZw6d6fZQIk5qTKpiPbFq8DZob+Vet4cDAADQZv9XzSTO6yxfXJwasrICF+gDiyhDAhYAgG7k9/ubE7BUwHZejCdGg5MGO+dpQwAAAMK6AhadVjt0aOAMfWARZUjAAgDQjSxpWFpbqoTYBE3Omez2cCLSkKRAPzUSsAAAIKyUl0sbNwbOk4DtkjoSsIhSJGABAOhGb21/yzkdnTpa777zrvLy8uT1et0eVkQZkhxIwG4rY2oaAAAIHw3LlzuLR9UNHqxlGzcS53VB88JlJGARZeLcHgAAAH3JP97/h3Pqr/dr4fsLlf9mvrLGZmmURrk9tIgxNDlQGfHRAQJzAAAQPvY+/7xGSKpMTJQWLtSW/HzlWE/TUcR5HUULAkQrErAAAHSjtQfWOqcnjTpJuYNyVbi10O0hRW4ClhYEAAAgjPRbG4jzBo4bp4G5ucorJM7rrLpgBSyLcCHK0IIAAIBuUl5Xrq1VW53zx2cc7/ZwItbQpEAClhYEAAAgbHi96vfhh4Hzublujybye8Du2CE1Nbk9HKDXkIAFAKCbvLPrHfnkU3pMuvol9nN7OBHfA3Zf1T7VNNa4PRwAAABp7VrFVVerKT5eyslxezQRqyE7W0pICCRfd+92ezhAryEBCwBAN1m2c5lzOihukNtDiWjpcenKSMxwzm8/sN3t4QAAAEhvvumcVAwaJMWQSukye+5GWCdd+sAiuoTFvxr333+/RowYoaSkJM2aNUsrVqxod98//elPmj17tvr37+9sc+bMOeL+AAD0dgJ2cNxgt4cS0Twej0b1DyxmQR/YyEecBwDoE5YF4rxyql+PXXDRMvrAIoq4noB9+umnNW/ePN16661avXq1pkyZogsuuEBFRUVt7r906VJ97nOf0+uvv67ly5dr+PDhOv/887Vnz55eHzsAAEF1TXVasSeQKMqJIzA/ViP7j3RO6QMb2YjzAAB9gt/fnICtIAF77EYG4jwqYBFNXE/A3nPPPbruuut07bXXasKECXrggQeUkpKihQsXtrn/448/rhtuuEFTp07VuHHj9Oc//1k+n09Llizp9bEDABBkydcGb4OyErKcHrA4NqMyqYDtC4jzAAB9wubNUlGRfAkJqrQepuieClgSsIgiriZgGxoatGrVKmd6WfOAYmKcy1b10BE1NTVqbGxUVlZWmz+vr69XRUVFiw0AgO62bEegKmJK5hRnCj2Ozeis0c7plrItbg8FXUScBwDoa/1fK8ePlz821u3RRL7RgThPW4jzED1cTcCWlJTI6/Uqp1UJv10uKCjo0DG+//3va+jQoS2C+1ALFixQRkZG82ZT2QAA6G5v7gwE5pMzJrs9lD5hTNYY53Rr6Va3h4IuIs4DAPS5/q+TifO6xZhAnKetxHmIHq63IDgWv/jFL/TUU0/pb3/7m7OwQ1vmz5+v8vLy5m3Xrl29Pk4AQN9mrQfe2fWOc35yJoF5tyZgy7bK6/O6PRy4gDgPABA2/V+XLnXOlk+Z4vZo+lYLgrIyqbTU7dEAfT8Bm52drdjYWBUWFra43i4PHnzkFaTvuusuJzB/9dVXNfkI30IlJiaqX79+LTYAALqTJV+rGqo0MGWgRqcdnFKFLmlqbFJeXp62r92uOE+ck9z+25K/qa6uzu2hoZOI8wAAfcLGjdLOnfZHRxWTJrk9mohW3xSI85atXq36g71033/mGeI8RAVXE7AJCQmaNm1ai4UVggstnHbaae3e7le/+pV+8pOfaPHixZo+fXovjRYAgLYt3rLYOb1gzAWK8UT05BLX7d+5X4veXaRH1zyqFE+Kc92vFv9KK1eudHto6CTiPABAn7A4EOfprLPkS052ezQRbcP+/SpdtEhauFB1B3vpFv/hD8R5iAquf0qcN2+e/vSnP+nRRx9Vfn6+vva1r6m6utpZLddcffXVzvSyoF/+8pf68Y9/7KyeO2LECKeHmG1VVVUuPgoAQDQLJmAvHH2h20PpE7KGZyl3cq5yMgO9Q+MGx7k9JHQRcR4AoM8kYC8kzusO47OyNDs3VxlDhjiXT2TxWkQJ1z/RXHXVVSouLtYtt9ziBNhTp051Kh6CCzbs3LnTWTE36A9/+IOzqu5nPvOZFse59dZbddttt/X6+AEA0W1f5T7lFebJI4/OH32+Nqze4PaQ+oys5MDK9xVeVraPVMR5AICIVlsrvfHGoQTs/v1uj6jvGDDAOUmqIM5DdHA9AWtuvPFGZ2vL0oPNroO2b9/eS6MCAODoXt36qnM6beg0DUwdqA0iAdvdCdhKX6XbQ8ExIM4DAEQsS75af9Lhw6Xx46W33nJ7RH1HViDOS64kzkN0cL0FAQAAkWzxVtoP9BQqYAEAQNi0H2CqfM8kYKmARZQgAQsAQBdV11TrXxv+5ZwfUj1Ey5Ytc1Z29Xq9bg+tz1XA+vw+t4cDAACiSF1dnWr+9jfn/Prhw4nzulv//s5JfH29YqmCRRQIixYEAABEokX/WaSKpgrFe+L17kfvaqVnpfLfzFfW2CyN0ii3hxfxMpMyFeOJkdfvVUl9idvDAQAAUWTtiy9q5s6d8ns8OpCfL330kbbk5yvHKjdHEecds8REKS1NqqpS8t69bo8G6HEkYAEA6KI3igOLMozNHquRE0Y65wu3Fro8qr7Dkq+WhC2tLdWe2j1uDwcAAESR7DffdE49xx+v08eOdc7nFRLndStLZldVKWn3brdHAvQ4WhAAANAFfr9frxe97pyfMHCC28Pps7KSAm0ISMACAIDelP2f/wTOTCDO6/E+sHuI89D3kYAFAKALVuxZoYK6AsUpTidkneD2cPqs/smB/mC7a6iMAAAAvWTbNvXLz3faD5CA7fk+sMlUwCIKkIAFAKAL/rrur87p8Pjhio+Nd3s4fdaA5AHO6e5aAnMAANBLnnnGOSnPyQn0KUWPVsAmUQGLKEACFgCATvL5ffrr+kACdkTCCLeH06dlJdOCAAAA9LKnn3ZOikcGevyjhwwIfNFOCwJEAxKwAAB00vJdy7W7YrdSYlM0LH6Y28OJjgRszR6n7y4AAECP2rJFWr1a/thY7c/NdXs0UdGCIKG0VKqsdHs0QI8iAQsAQCc9vS5QFXFm9pmK88S5PZw+LTMpUx55VOer055KqiMAAEDvVL8eOPlkNSYluT2avi0pSQ3B53jTJrdHA/QoErAAAHRCbWOtHv/gcef8eTnnuT2cPi82JlbpMenO+Y0lG90eDgAA6Mt8PmnhQuds8XnEeb2hNiMjcGYjcR76NhKwAAB0wpMfPqnS2lLlZuRq5oCZbg8nKmTEBgLzDSUb3B4KAADoyxYvlj76SMrMVPHHPub2aKJCTTABu4E4D30bCVgAADrIepDet+I+5/wNM25QrCfW7SFFhYyYQGCeX5Lv9lAAAEBfdl8gztOXviRfcrLbo4muBGw+cR76NhKwAAB00PLdy7WmYI2S4pL05ZO/7PZwogYVsAAAoMdt3hyogPV4pBtucHs00deCgApY9HEkYAEA6KBg9ev/m/j/NCBlgNvDiRokYAEAQI/7/e8DpxdfLI0e7fZooq8C1hbh8nrdHg7QY0jAAgDQAbvKd+nZ9c8652+ceaPbw4nKFgR7Kveosr7S7eEAAIC+5sAB6eGHA+dvJM7rTfVpafImJEgNDdL27W4PB+gxJGABAOiAH73+IzX5mnTOiHN08pCT3R5OVEmMSVRWQpZznipYAADQ7RYskMrLpQkTpPPPd3s00cXjUe3xxwfO0wcWfRgJWAAAjmL1vtX6S95fnPO/mvMrt4cTlY5PCQTmJGABAEC3sqrL3/wmcP7OO6UY0iS9rTkBSx9Y9GH8ywIAwBH4/X5999Xvyi+//t+k/6cZw2a4PaSolJua65ySgAUAAN3qBz+Q6uul886TLrrI7dFEpZrcQJxHAhZ9GQlYAACO4KVNL+n17a8rMTZRP/vYz9weTtRqroDdT2AOAAC6ybvvSk8+6UyD1113BU7R62qogEUUIAELAEA79lbu1Vf+8RXn/E2zbtKIzBFuDylq5aZQAQsAALp54a3Pfz5w/uqrpalT3R5R1KqlAhZRIM7tAQAAEI4avY266tmrVFRdpMk5k3XzqTdr2bJlLfbJy8uT1+t1bYzRWAG7ef9mZzG0uBhCGAAA0EV+v3TttdLWrdKIEar7+c+1so04byJxXq+oHT48UH28f79UXCwNHOj2kIBux6cXAADa6Pt6879v1ls731K/xH569spn9eGaD7Xg2QXKGZ3TvF/+m/nKGpulURrl6nijwaCkQUqJT1FNY40+KvtIYweMdXtIAAAgUtliWy+8ICUkSM88o5VbtypvwQJNyTkU523Jz1dOVpY0ijivp/kSE51EuLZtC1TBkoBFH0QLAgAAQvj8Pn37lW/rnv/e41x++NKHdcKAE5zzlnzNnZzbvGUNy3J5tNEjxhOjEwec6JynDQEAAOhy5evPfiZ9//uBy7/5jTR9unPWkq+zc3ObtzGWfEXvGTcucEobAvRRVMACAKJKXV2dVq5cedj1M2bMkD/Wry+/+GU9+eGTznW/vuDX+vT4T7swSrRlXPY4vV/wvtYXr9enTvyU28MBAAARFOclxcZK8+ZJv/td4Mr586Xrr+/9QaL9BOzLL0vr17s9EqBHkIAFAEQVC8pbtxIo3Fqoj5d+XPfvuF9by7YqPiZej1z2iP7fpP/n6ljR0qRBk/SkntTawrVuDwUAAIRpnNe6lUBeYaHSP/UpTf3976UPPgj0Gr33Xumb33R1rGhl0qTA6VriPPRNJGABAFEn2ErA7Kvcp/VV6/Xympedy8PSh+nRyx7VeaPOc3mUaG3K4CnOaV5hnttDAQAAYSrYSsBRUqKxmzZp0A03BNoPDBgg/fGP0hVXuD1MtDYlEOcpLy/wWlmiHOhDSMACAKJqGpqtaOv1erWzfKeW7VymLaVbnOs98ugbM7+hn3zsJ87CWwg/U3ICgfnGko2qa6pTUlyS20MCAABhFudN9HqlggJp2TJnOntzLezcudJdd0nZ2W4MF0czYYJkbSL275f27pWGDXN7REC3IgELAOjTQfg/NvxDQ8cObb7u3ffeVeHIQpWuKW1OvI5MGKlbpt6iuRfN7fVxo+OGpg9VVnKWSmtLta5onaYNneb2kAAAgJtfqv/jHzpl6KE4r+699zS2sFAqLm6+rmT4cO364Q91Mv1ew1tSknTiiYEesFYFSwIWfQwJWABAn+3tmv9mvrLGZjntBkpqSvTvj/6tjaM3Oj+L8cQ4FZVnHn+mKjdXalTaKBdHj47weDzOa/b69tedPrAkYAEAiN7erlvy83VGVlag3UB5ubRkiWZ/+GHghzZ9/aSTpDPPVH5dXaC6EpHRhsASsNYH9uKL3R4N0K1i5LL7779fI0aMUFJSkmbNmqUVK1a0u++6det0xRVXOPvbh7B7rXE2AACtersGt6xhWfLLr7d2vqUH3ntAG/dvlMfv0XDvcH1z5jf1qRM/5VRUIvLaENAHNnIQ6wEAurO3a3Abk5UV6BX63nv2xyawwJakHUOGSF//eqDPa0jCFhHWBxboY1ytgH366ac1b948PfDAA05AbkH2BRdcoI0bN2rQoEGH7V9TU6NRo0bpyiuv1Le//W1XxgwAiBy1MbVaE79GB7YdcC6PyRqjIR8NUVpymjKSMpr3a2pscqaxhZoxY4aTMEJ4YSGuyEKsBwDoKcn19TrTKiVLSgJXHH+8nj7uOMVkZCjXFts6qL6pSRuI8yLD5MmBUxKw6INcTcDec889uu6663Tttdc6ly04/+c//6mFCxfq5ptvPmx/+0fSNtPWzwEACNpxYIfe7ve2GmMalRCboAvHXKipOVO1ckvL/mFm/879WlS6SKt8q5zLhVsLNV/zNXv2bBdGjg5VwBbkye/3O1WSCF/EegCAHlFQoCvfeUf9rL2ALdx03nnSqaeqeOXKQ4tuHbRh/36VLlokrQrEeXnWI3Y+cV5YV8Bu3CjV1krJyW6PCIj8BGxDQ4NWrVql+fPnN18XExOjOXPmaPny5d12P/X19c4WVFFR0W3HBgCEp9X7Vuufm/8pX4xP/Xz9dO2sa5WZlHnE22QND/SKba8i1lnowVbVhasmDJygWE+syurKtLtit4ZnDHd7SHAx1iPOA4AolJ8v/e1v6tfYqMqUFKVfc400cOARbzI+2Cv2YEVsW3HeROI891n7iOzsQFXzunXS9OlujwiI/ARsSUmJ80E2p1VPFru8YcOGbrufBQsW6Pbbb++24wEAwpv1e12ybYlzfnD9YE3W5KMmX49WERu6oNcosViXmxLjEjUue5zWFa9z2hCQgA1fvRHrEecBQJR5/33pH/9wer/uzM7W6qlTddlRkq86SkVscEGvHOspO4o4z1U2s8mqYJcsCbQhIAGLPsT1Rbh6mlVdlJeXN2+7du1ye0gAgB5g09FX1a5qTr6eOfxMTa2eqljFdul4wYrY0AW9EF59YNcWrnV7KHAZcR4ARI9hVhH54ouBhbdOPln/mDZNjfHxXTpWsCK2xYJeCK8+sNbfF+hDXEvAZmdnKzY2VoXWfyWEXR48eHC33U9iYqL69evXYgMA9C1en1f3bLpHH9QFVr+dM2qOzht1njyiP2if7gPLQlxhrTdiPeI8AIgCfr9yH3pIo1Ye7ON/2mnSJz8pf0yfryeL7j6wLMSFPsa1f7ESEhI0bdo0LbHS8oN8Pp9z+TT7BxUAgA5o9Dbqi3/7ov6+5+/O5U+M/YTOGH6G28NCLyRg1xSscXsoOAJiPQDAMfP5pJtu0vGPPhq4/LGPSR//eGCqOvp+AtaqnYE+wrUesGbevHmaO3eupk+frpkzZ+ree+9VdXV180q5V199tYYNG+b09wou5rB+/frm83v27NGaNWuUlpamMWPGuPlQAAAuqGqo0mef+axe3vKyszDTmSlnatqQaW4PCz1s2tDAa7xp/yaV1pYqK5lpg+GKWA8A0GUNDdKXviQ9/rhzccupp2rM7Nlujwo97aSTpKQk6cABadMm6cQT3R4REPkJ2KuuukrFxcW65ZZbVFBQoKlTp2rx4sXNizXs3LnTWS03aO/evTr55JObL991113OdvbZZ2vp0qWuPAYAgDsKqwp1yROXaNW+VUqOS9ZtE25T/q58t4eFXpCdkq0Tsk7Q5tLNenf3u7rohIvcHhLaQawHAOiS8nLpiisCizHFxWnDzTerePdu8VVcFLC+vrb41ltvScuXk4BFn+FqAtbceOONztaW1oH2iBEjnEVWAACRp66uTiuDvbtCzJgxQ0n2LXcnrNq7Slc+c6W2HdjmJONe+txLatjWQAI2ipw2/DQnAfvOrndIwIY5Yj0AiN5YrytxnjZskK68UvrwQyktTXr2WRWnpEgLF3bvgBG+rFWRJWDfeUe65hq3RwP0jQQsACA6WEC+4NkFyhkdqHwzhVsLNV/zNbuD08ksMfPbd3+r7732PTX6GjW6/2i9/PmXdcKAE7Rs27IeHD3CzWnHnabH8h7T8t3L3R4KAAA4GOvlLVigKQdnOeTZIozzOx7nOR57TLrhBqm6WrIFG//5T+mUU6RlxHlRJdgr3ipggT6CBCwAoNdY8jV3cm6XbmuVjt999bvNCbdPj/+0/vzJP6t/cv9uHiUiwenDT3dO393zrrw+r2JjYt0eEgAAUc+Sr7NzuxDr2YJL//d/0quvHlpsy3q/WhIW0ZuAXbcu0I4iI8PtEQHHjAQsAKD7p451UFNjk/Is4G4leJ/VDdX6+8a/6y9r/6LFWxY7P0uJT9FPz/6ppnmn6cP3Pmy+jR3H6/X2yDgRfk4aeJLSE9JV2VCpdcXrNDlnsttDAgAgatpBdUR9U5M2HCHOU3299K9/SX/5i/TCC4EV763/549/rLp587Ry9Wpp8+bmOG8icV70sMT7yJHStm3SihXSxz/u9oiAY0YCFgDQbpuAzrYI6Kz9O/drUekirfCuUJWvytn2Fu7VuE3jtFd79X7B+6prqnP2jfHE6Msnf1m3nXObtq7ZqgXPtWxnkP9mvrLGZmmURvXIWBFerOJ15rCZWrJtiZbvWk4CFgCATrYI6HKbgA7asH+/ShctkmflSiVWVSmpqkrFe/eq5KSTdNy+fdKqVYFWA0H/8z/Sz34mjRqllcuWtRjrlvx85WRlOT9DFFXBWgLW2hCQgEUfQAIWANBtbQKOVGURrFBt8jVp+4Ht2lW+S/lp+arsX6l3D7x76Iap0rrd65ovjuo/Sp+f9Hl9cfIXnV6vZqu2HjZOSxYj+vrAOgnY3ct1/fTr3R4OAAB9t0VAB6ppLdab1NgYSJrt3KmL169XTmWlUq2CMXSBRVtcK2jYMOlzn5OuvlqaNKndsTqJYkRfAvaJJ+gDiz6DBCwAoMeraX1+n95d867Kh5er9J1SNXgbAjslHNo/PiZemUmZSmxM1GmDT9Onpn9KM4bO0NgBY+XxeFx7HAhfpw0/rbk/MAAAcKma1u9XRkGBTn3vPU22fp1NTc4+LWpVY2Ol/v1VmpioulmzNPQTn7BeBNKECVJMjFsPA5GyEJfPx/sEEY8ELACgxwwYNUB7s/ZqxZ4VOjDiQOBKr5zenVbZ2vhRo/rF99MZZ5+h1PhUJ9G6Y+0OfemEL2n25J5pe4C+49TjTnVON5duVklNibJTst0eEgAAUWPqwIE6s6RE+u9/JTsNSkmRRo/WssZGNfXrp3PPPFNKS5M8Hq3bsUP60pc0tIfaW6EPmTxZSk4OLMK1YUMgWQ9EMBKwAIBuV99Ur+d3P6/nyp9T7YFa57p4X7yG+Ybp4zM/riFpQ5xk64r8Fc5forSEtC61M0B0y0rO0rjscdpQskFv7XxLl427zO0hAQDQ9zU1adDLL+v4v/1NqqwMXBcfrw8HD1bR0KH62PnnO9WKeStWyOngmp7epXYGLLoV5WxBtpkzpTfekJYtIwGLiEcCFgDQbRq9jXos7zHd8eYd2lm+07kuIzFDs4+frYZ3GxSbGquh6UOPeIymxiYn6A5ll/+x4R8aOjZwWxbcQtB5I89zErCLtywmAQsAQE+yaeB//at02206cePGwHWpqdIZZ0innKKleXmBhOsRporXNzVpQxtxnvcf/9ApQw/FiCy6Bcd55wUSsIsXS9fT7x+RjQQsAISptqoBzIwZM5SUlKRwS7wuWrtIP132U31U9pFzXXZCtsbEjtF5089TXEycVmhFh461f+d+LSpdpFW+Vc3XBROuwUW3WHALQReNuUj3r7xfL295WX6/n37BAICIEElxnpN4fe456fbbpXWBhVIbMzK0e8wYjbRq14SQpv5HsWH/fpUuWiStWtUi2XpGVlaLxcFYdAuOiy+WbrlF+ve/pYaGTr3XgHBDAhYAImARqyBLPM7XfM12sW9W6AeGJl+TXit8TY9tf0x7avc41w1KHaSbz7hZk+on6fG1jzvJ187KGn4o2WpIuKI95448V4mxiU7FdX5JviYMZHoaACDCFrEKTTrOD584zxKv2W+8oeMfeUSp27YFrsvIkL77Xa2cPl3ep5/WyC4kxMaTbEVHnXyyNGiQVFQkvf22dO65bo8I6DISsAAQxiz5GpqIDAcWlN/x3B2qGFqh/Pp8VfoCvb/6x/fXD8/5of53+v8qNSFVy6xXE9DDUuJTdM6Ic/TK1lf0r83/IgELAIgYlnwNTUSGS5y3/ic/0ceqqjQ0P1+pBwKLqDalpSnue9+TvvlNKTNTXuI89AZrZ3HRRdKjj0r/+hcJWES09puzAAAQwqZ3v73zbf1s/c/0ev/XtaJ2hZN8tQTY9OTpeur0p/Sd07/jJF+B3nTxCRc7p9aGAAAAdNHq1Rpz55368uuv64TlywPJ18RE7Zg6VSuefjowFTwz0+1RItpYAta8TJyHyEYFLADgiCobK/Xbd3+rB1c9qHXFgb5fJic1R9OGTtOUnCnatWaXNn24ScmxyS0XVGD1WvRSH9ibdJOW7VimyvpKpSceebVlAAAQENPYqEH/+Ic0b5703nsaEvzBgAHStGnOFPDNe/Zow0cftah6tThvInEeeoP1GbZKWOs/vHOndPzxbo8I6BISsACANqtdd1fs1rLqZXri7SfU4Gs4NN07+xx5qjyadvK05gWPjrRw1iixei161gkDTtDo/qO1tWyrlmxbosvGXeb2kAAACG/79jkLYc1au1ZxjY2B6xISVHTWWSqIjdXkWbOkg3Feewtn5WRlSaOI89DD+veXTjst0APWqmCvv97tEQFdQgIWANCi2jW/Ll//WvUvFVUXNV8/OWeyrp92vT4/6fNau3KtFr6/8LDV5lk4C263IbhvxX1OH1gSsAAAHC6mpkYDN22SXn1V2ru3OSFQc9xxSrnpJmnuXG3csEFauLA5+RrEwllw1cUXBxKw1geWBCwiFAlYAIhwLVarPWjGjBlKSkrqcLXrf3f/Vw+uflBPrn1S9b565/q4mDiNiBuh70z6jq6/5PrDEq5AuLUhsARsfkm+20MBAKBH47zOxnrKy5P++EfNevRRxdXUBK6zKd3jx2vtccep/Ac/0OyzzgpcbwlYIBz7wP7wh4H3p88XeP8CEYYELAD0UqKzp9iYFjy7QDmjc5orT+drvmbPnn3E2x2oO6BFaxc5vV0/KPqg+frMmEydNuo0p+q1cH2hTso4ieQrwt65I8/V+hvWa1z2OLeHAgCIQOEc5+UtWKApOYE4r7n6dP5RYr3qaskWzvrjH6UVK5o//NempyvZ2gtMnSqlpqp8x47Dql2BsGPv1zVrpMmTeb8iYpGABYAeTnT2BhtT6PT/9pTVlumVra/o2fXPOlO1a5tqneuT4pJ01UlXaVbcLL279V2NGDaiF0YNdExTY5Oz2Eeo+vpApXZiYmLL62fUu/5hGQAQeVonOjuU5OwlNqbQ6f/tqqyUliyRnn1WevHFwGUTHy9dfrnWnnaaytes0ewRxHkIH/VNTdrQwThvRj1xHiIXCVgA6IFEZ0+p9dVqVekqrV2xVvtr96uqoUrbdm7ThpoN2rJti2I9saqsrdSTO5/U++++L5/fp4KqAmdBrVX7VmlDSctpZScNPMnp7fqFyV9Q/+T+WrZsmVZ4AlUSQLhob5E3JUvjZ4xvvi6cvhQBAESeDic6e0hcXZ1SrMrPVnsvLpaqqjTqo4/kz8+XtmyRYmOdbVhFhfzPPCO9/75UUCDt2RM4/+GH1lvq0AFtgayvflW69lpp0CCVL1sWaEcAhJG2Fnl7KT9fWTbDafyhOC+cvhQBuoIELACEub2Ve7W+eL027t+okpoSPb3maWlNGzvuPHR29ZbV0pa2j3figBP16fGf1hXjr9ApQ06hvQAiQpuLvKXK1S9EAAA4ZkVF0vr10saNOs2SqU891eLHw9q4ySj733vvtX28kSOlyy6TPvMZ6dRT6ZWJiNDWIm9Wi+7mFyJAdyMBCwBhqMnXpH8X/FsvVbykktUlLX42LHmYph8/XTmpOUpPTFfB3gKtKVij1OxUeX1eVeyv0KisUcockCm//BqcOlhD04fqpEEn6dTjTlV2SnZzr7O33nqrxbFtmrfX6+3VxwoAABBVfD5lLVumYYsXBypYQ9QNHqykadOkoUOltDTtKiqSZ80aHZeaKlmM5vOpsKJCnhEjNCgrS7KWCbbvuHGBhOuQIYd62tqq8a3ivInEeQDgChKwABBGLIH6xAdP6PY3btfWsq3OddZWwBYWOjH7RMXtjNPspNmaMmxK823yqvIUkxijUWOcegjtWLtDX5rwpaNOz2nd0zY4rTtrbJZGBWor2uy9SZIWAACgC6w9wAsvSLfeqpM+OLgAqs1EGjvWSaC+ER+vD84+W1OmTGmZNI2J0XHWTuCgTbZw1pe+pEFHiPXaWrxrS36+cixpG3Ks1v03SdICQM8gAQsAYZJ4fXrd0/rJmz9p7tOaEZ+hkbEjdd7J5yktIc25bsXbK9rshXm0pGl7K/m27mnrTOvuQO/N0PsDAADAURKv//iHdNttgV6tFq+lpmrfyJEaPmeOlJHhXPfBihWH9cLsSNK0vTivdU9bp4fmUfpvtnV/AIBjRwIWAMIg8XrHG3c4PV5NVnKWvnf693Ry48l66oOnmpOvR+yFeZSk6d6Ne/XJvE8eVlHRkUrWo90fAAAAOpZ4tbYCuukmrTz9dDU984yGH0y+HqkX5tGSpu/t3au8Tx4e53W0kjX0Ptu6PwDAsSMBCwAuKK8r11/X/VV3L7+7OfGaHpeuq46/Slccd4VS/anKW9f1qf5tJU0XvUslKwAAQI+rqZGef166557mxKs3OVl7P/1p7b7qKjVlZh7zVP/WSdOOVM4CANxDAhYAemlRrS2lW/Tmjje1ZNsSvbjxRdU11Tk/65/UX1cMvULb39uupvQmPV32dI8kSKlkBQAA6AGWSN2+XXrzTen11wN9XisrAz9LTdWuyy7TKwUFOjE+PpCY7YEEaUcqZwEA7iEBCyDqOavErlx52PXjp4zXxgMbtXrfan1Q9IHytudpU/kmNS1vUoO3QU3eJj39xtNKWZ6ixLhEJcUlKTEmUb4GnxJiEuTz+9Tkb9KBhgMqaSiR19+yymF89nh96eQv6avTvqq8FXlaWLaQBCkAAEAvxHkzTjpJSZs3BypU167VSe+/r8SNG6WmJqmhQWc0Nsr/1FNSSopkvVUTE+VLTFS1z+ecenw+eZqaFFdRoaSSEnkaG1vewciR0jXXSDfcoO35+Tpx4UISpAAQxUjAAoh6FpTf9txtihsep/3e/drftF/FdcWq+U+N/PIffoOGQ2drvbWqra3t0P1YgnbWsFk6Z8Q5uuSESzR96HR5bOVbAAAA9Fict+GOOzQrNlZppaVK3b9fcUVFSrQ2AT5f835ZrW4XY/+rqwtsIdelt3dHVt06fbp0zjnShRdKZ54pxThHAQCABCy68VvkNlbeBMLt/VrdVK3MUZnaXrldeQV5yivM04qdK7S//36pKuSGsYGToelDdfLgkzV18FQ1FTfp/d3va+SJI5UQm6CCjQW6YsIVmnzyZKedgG3vrn5XL215SVnHZynGE6NYT6wO7Digr0z+ii4971LnOgAAwhVxHiL5/RpTW6vp/fsrcccOp6pVa9ZoxooVmt1etenAgdIpp0hTp2qzz6f699/XRGsJkJiodwsK5LniCs2cPFmqr3cSsWvffVcxL72kif37B5KrsbHKKytT3Ze+pFmXX+5cBgAgbBOw999/v+68804VFBQ4Kzfed999mjlzZrv7P/PMM/rxj3+s7du364QTTtAvf/lLXXzxxYoG4RAU2/0veHaBckbntJgqPV/zNXv2bPUF4fA8h4tweC46Mga/36/Khkrtr9mvfVX7tLdyr7O9u/5dLd28VI0pjar0VarOXye92fb9ZCVnaXDaYGfTPmlO8hydefKZzT/PK87T3pi9gZ9Lqoyp1NDkoRo/cHzzPk3bm5QXn6fcgYemmG3dvlV7NuzR24lvN19Xb4G8LL5PDBw7r+sLbgFAOCPOi6y/uXb/eQsWaEpOTsup0vP7TpzX3nNNnBe+cZ78fqm6Wtq/XyookPbskfbuVdG772rg669rSGOjkisrldDGrKTmR5GRIQ0ZIg0erDWS3j/vPI056yzp4GwkZ1EsO7btYxOerIfr0KHS+ENxXrm1GVizRgppJVC8das2FBSo4Z13jhjnHcuCWwCAyOd6Avbpp5/WvHnz9MADD2jWrFm69957dcEFF2jjxo0aNGjQYfu/8847+tznPqcFCxboE5/4hJ544glddtllWr16tSZOnKi+rjeTn5bQsoq+6sZqVTdUN5++X/a+Go5vUM2QmuZ96xrq9GbxmyrfVK6U+BSlxqcqNSHVOXUuJwROI6H6zx73W/99SwteWKCM3Aw1+BvU6G9U4Z5CTVsxTcfnHt+8r00fnzxusgakDVBaQlrzlp6YHjGPN7hAVG1jrWqbap1Te92D562i8/FljytjSIZsNr5NyS8rKNPlRZdr3LhxTp9T2+w9sHXrVvnkc57DhqYG5zQmLsY5NX6v33lOkuKTnMrQuJg453Tc2HFKSUpRfEy8c51txsZg77nVH6zW8yufV3J2sur99arz1elAxQH1e7OfvIlelTeWq6Kxwum32iaLfUNi3jRPmnLTczUqbZROSDtB/gK/9vn36cRTTmzeZ8WqFfp76d+1SZuar+vqolj7d+7XotJFWuVb1eJYSpbGzxjfIwtuAUA4IM4L4+Sn/W22JJEltUK2jDVrdE5joyba9OyDBtgUbFtc6MCBQD/M1NRDW/CynUZK9V9dnda88op23HOPTurXT3ENDdpeWKjXp03TCEusHYxbLDE3etIkJQwYIKWlHdrS0wOPOVKml1vizxKToZu9prW12vTuuypbtEijMjLkpCH9fu0oK9NHl1+uCePGBabo+3xqqKvTtq1bnfMev19NDQ3OvvExMc5lO9/o98sXG6u4pCT5Y2ObtzHjxyvB3h9xcYHNpupb0tPGUV2t7atXq+G55zQiOVnx9fXOVnnggEr69VOmz6f48nLFV1Qoxu6zlUNR+SF1KSlqPP54VY8apeoxY5Tn8WhQQYHOtMdz0FsrVqj0pZc0xh7TQV1dFGvD/v0qXbRIWnUoznspP99paXDuweRtdy+4BQCIPK4nYO+55x5dd911uvbaa53LFqD/85//1MKFC3XzzTcftv9vfvMbXXjhhfre977nXP7JT36i1157Tb/73e+c27rtofce0tvr33YSTvafJaZMzpAcxcbGNier7OfO6cF9gtfZwj713vrA1nT4aWlFqfZn75enxuMkzWxRn8asRr32n9cUtzSQzAomtpISkhQfG0hoBU+d8weTXDGKUU1VjZO0qvPWqd4XuB9vjFc1TTVO8q3N/pdB61tefP2D16UPjvz8JMUkKSk2Scmxyc5pSmyKBvUfpH5J/ZwkbVp8mtMn06Z325id05j4wy7beU8gTDxsjMFkn7Hnx0kmhiQVg5ftfHl9ucrryg87bfQ1Sv0lVYQcOEPKq8qT1rV6UB8e+fHaY81IyXCSss5jTEhzEtO2aJPzesUEXjP5pNL9pc55S1I6/3lilJMTeO8476iD76sjnTb4GlRdX62CkgLncdhm19lpXFJc8/srNOHaenGow1izq9Dp+enS+x++f8TH3ilHed84Ui0jG3I5SSpqKpJa5Vxt8ath/YY5rQNs81f4tW3/No0cOVJZSVn66N8fqbK0MpD4rJVKa0uV/3Yg+dla1vCsIy6K1dTY5FQ0hGqvkrXNY6Wq+ToW3ALQF/W1OK/hySe177XXnGRTMOlk29CcHMVZ8tGSVXbdwaTVYectgWSbJT7b2E4pLdW0khKlWHLK/pY0Nel0q7h77TV5LRaIi2tOasUnJcmTkNAyqRU8HxfnJMIqamrk8XoVU1en2Lo6J4GV6PXKY8lVS36F9L8MmtzG455g/7OV3Y/Cm5gob1KSfMnJ8h7cUgcNUmy/foGEpSUvk5MDY7WxH+k02CM9JK477LKNP5hMPJhQbD61raJCKi9vuVkSuaFBp0rOFjTJ/tfqb3qHHm9ysnxJSU6SNiaYoLXHapWb9p44uFm4Ulxa6iRt/bbZ6xgTo8HB907I++mIW0ODvDU1KisocF5PW/gpxraGBqXGxQWSlPZ+qq2V37aaGsUcofJychuv+Un2P1uYKkSCpENfU3cvS4seSo0GODWobbQN8MXHK8YqVK0ydehQ7fF41LAtEOepf3/9ads27auqak582nvgzfx8nWHJz1bGZ2UdcVGs+qYmbWgjzmurkrWtY9nXKMHrWHALAOBqArahoUGrVq3S/Pnzm6+LiYnRnDlztHz58jZvY9dbJUUoq6R44YUX2tzfpn8Ep4CYcgu8nL/FoZm17vPbJb/V2gNrD//BRvW4ptaZqG5kSc9g8tTT5HGqHRMsQLbY2C811TcpMylT8cnxTiLXErqWBKzx1sgfcyhQrjv43wEdaL5uXVHrjGb4iPPEKcGT4GyNlY3yxHiUnJbc/PPailonuRmbFKsmT5OTvPZ5fIc93rLKsq4PYrN6l0+BJLA/xtl8tT7FxccpOSXwuC3x7a33qn9Sf6WlpTmXLVFcXVXtTP9PTE50KoOrS6ud5ystM7CPqdxfKX+cX8n9kgNfPsgqKhqc5HRCcoKTCA5uJjEmUYmxiWqqaVJ5bbnSUtOc1yLRk6gD2w44ifgRo0Y419n7s2J7hS4cfaEmneh8jHJ8sP0DHfjogBKUoCpVqWx7mZO8tfsNTaQWbS3S5hWHnuyi7UXOfke6buPbG7V8/3INWzGseR9rNZA5MlPeRm+njtWRfThWzxwrksbKsY5y3UdFqh5b3WN/44PHDf2iD9EV55U88ICyrRK0lUO1ot2jzdHbyuwhj/XQskDtC9Zn2js2GCUeXkMo+eLinMSpbTUej7x1dUo4OHXa1Nh9Z2YqNSFBsfX1iq2tlc8Se9XVSgr9fQgmkw++DqZ6fatv7MNIvSVBLYkaH6+ipibFeDzKsATxQaW1tfI0NCjDqjq9XiV4vYr3eoNt4g89Xntebep6B75L7q73jiVEQ/lbfVfeHnv9LTnfFBOjxpgYVVmFaVycUpMtNgtU/VZ7vfL3768USyZ7PE6iuKq6Wv79+5Vm7wuPRwXV1YrzeDTg4D6moLJSiX6/spKTFWNfUvh8qm1oUEx6ulISEpzL9oWAx95PVoxiz31ioiqbmtRYXq7UtDQ1JSSoMTFRq8vL5YmL05gRI5zLTYmJyquoUNOFF2qS9WQ96IMPPnDeb5NsXDU1Wn3ggFNDUR1SLWuJ1PeLipS++dDfi3VFRdprNQVHuO7vGzeqZPlyFQ07FOet2LNHezMzVReShO3IsTqyz7Fcx7E4VjQc64OiIk2qJs5DBPO7aM+ePfbO9r/zzjstrv/e977nnzlzZpu3iY+P9z/xxBMtrrv//vv9gwYNanP/W2+91bkPNjY2NjY2Nrbu2Hbt2tWN0VDfRZzHxsbGxsbGFmkbcR56iustCHqaVV2EVlL4fD6VlpZqwIABTpVeuLFvXYYPH65du3apn03XQljgdQlfvDbhidclfPHadJ2z2F9lpYba1FeEBeI8dAdel/DFaxOeeF3CF69N1xHnoae5moDNzs52elsWtuqJY5cHDw6sMt6aXd+Z/W3lyeDqk0GZmZkKd/aPJf9ghh9el/DFaxOeeF3CF69N12TYKtroEOK89vH7F554XcIXr0144nUJX7w2XUOch57k6tKd1kN02rRpWrJkSYvKBbt82mmntXkbuz50f2OLM7S3PwAAAHofcR4AAAAQ4HoLAps2NnfuXE2fPl0zZ87Uvffeq+rq6ubVcq+++moNGzZMCxYscC7fdNNNOvvss3X33Xfrkksu0VNPPaX33ntPDz74oMuPBAAAAKGI8wAAAIA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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_t = numeric_train[nan_columns[17]]\n",
    "\n",
    "test_density_fillna(x_t, [\n",
    "    lambda: 0,\n",
    "    lambda: x_t.mean(),\n",
    "    lambda: x_t.median()\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule[nan_columns[17]] = x_t.median()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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pw1Issph0qd0lV0+NiYyRD3p9YK6/t+w9WXNgTQE1EgXtu13fmcs6xeqYYSWArBDnAUBg6Kvjdu7eLRIRIXLJJc4hBXKqSBGRceOcz9UJF+fPL8imogCVnTXLXMbXqOEcwxcIIX6bcK1c2dmtdL8Oru1Cf7bu8yYqKkpiY2PdFgCAfzl26pjIRc7rF9a6UIoXLZ7rdej4rf0a9zNd0h/88UHfNxIFLjE1UebtmWeu149xnygNwY04DwCCV1hSkrxu/dCpk0iZMrlfyVlnidx+u/P68OHOSlkElvR0Kfv99+bqkfrEeQg9fptwrV27tgm4581zfhFTOk6XzmLbsWNHW9sGAMifDzd+KBIjUjayrLSt0jbP63mp60tSJLyIfL/5e5mzWUf9QiCZtXGWJKYlihwTqVwkB+P3ImgQ5wFA8Kr42Weio7WeKl5c5Lx8TG761FMiemLtr79EPv7Yl01EYfj9dym6f7+Gec4KVyDE2JpwPXHihKxYscIs1gQKen3Hjh0SFhYmQ4cOleeee06++eYbWb16tdx0001SpUoV6dOnj53NBgDkw/4T+2X69unmeofYDhIelvc/RfXK1pN7zr7HXH947sNm5nMEji/WfuG88rf2NMxFV0MEBOI8AAhBJ05IpU8+MVf3tGvnHB4grypUEHn8ced1vTx1ykeNRKH4/HNzMUPHcI1k2CiEHlsTrkuXLpVWrVqZRQ0fPtxcf+KJJ8zPDz30kNxzzz0yePBgadeunQncZ8+eLcWKFbOz2QCAfHht0WuSkp4iskukatGq+V7fY+c/JiWKlpCV+1eaSlcEhpOnTsrMjTOdPzAEb1AizgOAEDR2rETGx8tm7UZer17+13fPPSJxcSK7don8m8hFAEhLE5k2zVz99/Q6EHJsTbh27tzZVCN5LhMmTDD3a/XDM888Y2arTU5Olrlz50oDneEQABCQDicelneXvOv8YYFvqhrLRpeV29s4x/ga+dvIfK8PhWPWplmSdDpJqsZUFdlrd2tQEIjzACDEJCWJvPqqufqC/hfug3SDnoTTMVzVSy85E3nwf7//LrJvn5wuWVLm2t0WwCZ+O4YrACD4jFo8Sk6mnpSGsQ1FNvluvcM7DpeiEUXltx2/mQX+7/M1zm5mF1e52O6mAAAAX/jwQ539UFIqVxafjriqk2fpxFsbN4rM0A7qCJThBI5deKGk2t0WwCYkXAEAheJ4ynF5+8+3zfVbG9zq03VXKVlFBrQYYK5T5er/Tpw6Id9t+s5c7xrX1e7mAACA/Dp9WuSVV8zV/QMHymlfrrtkSefQAmrkSBHG7A+Y4QSOdSXOQ+gi4QoAKBSTVk6S+JR4aVCugXSu3Nnn63/onIfMBFyayFu9f7XP1w/fmbXROZxA3TJ1pVGpRnY3BwAA5JdWnu7caSa6Onz55b5f/733isTEiCxfLjJvnu/XD9/59VdT6axVycfPPtvu1gC2IeEKAChw6Y50eevPt8z1e8++1yRGfa1e2XrSr3E/c/2dP9/x+frhO5+vdXYzu6rJVT4ZxxcAANjsLWecJ3fcIY6oKN+vv1w5kVtucV5/29ljCn7qi3+nyerbVxxFitjdGsA2JFwBAAXuhy0/yMbDGyU2KlZuanFTgb3OPWc7u5t9svoTOZp0tMBeB74ZTuDKs660uzkAACC/tOr0t99EIiNNwrXA3H238/Lbb0W2bi2414FPhhOQq66yuzWArUi4AgAK3Jt/vGkub2l5i5SMKllgr3NejfOkeaXmkpiaKONXjC+w10Hezdw4U5JPJ5uK5JaVW9rdHAAA4KvqVk2wValScK/TsKFIt27OMVzffbfgXgd598svIgcOiJQtK3LRRXa3BrAVCVcAQIHacGiDzN48W8IkTO4++9/KhAKi3dPvbud8jdFLRktaelqBvh5y7/M1/w4ncBbDCQAAEPA0ufbZZ/+Ns1rQrMmzxo0TSUws+NdDnocTEIYTQIgj4QoAKFBjl441lz0b9JS6ZesW+Otd3/x6KV2stPxz9B+T6IX/OJ5yXL7f/H3G+K0AACDAffSRyKlTIjo5Uvv2Bf96PXqI1K4tcvSoyKefFvzrIedOnxb58kvndYYTAEi4AgAKjnYdn7hyorl+Z9s7C+U1Y4rEyKBWgzKqXOF/wwnUL1vfDP0AAAACWHq6yAcfOK/fWThxnkREiAwZ4rw+erRzeAH433ACF15od2sA25FwBQAUmC/XfilHk49K9djq0r1u90J73TvaOids0ArXbce2FdrrImufr/13OIEmDCcAAEDA++knkX/+ESlVqnArGm++WSQqSmTFCpGlSwvvdZG1z51xnvTrx3ACAAlXAEBB+mC5s+rh1ta3SkR4RKG9rk7I1KV2F3GIQz5c/mGhvS4yl5CSIN9vYjgBAACCxvvvOy+vv14kJqbwXlcrKK+80nn9vfcK73WR9XAC06c7rzOcAGCQcAUAFNhkWQu2L5DwsHC5pdUthf76t7e53Vx+9NdHkpqWWuivD3ffbPhGUtJSpGG5htKsYjO7mwMAAPJDu45/9ZXz+uDBhf/61mvqhF3x8YX/+nD3888iBw+KlC8v0rmz3a0B/AIJVwBAgVa39qzfU6rFViv01+/dqLdULF5R9p7Ya8YOhb2mrplqLq9ucjXDCQAAEOgmThRJTXVOltWiReG//rnnijRuLJKYKDJ5cuG/PtxNdcZ50r8/wwkA/yLhCgDwuZTTKTJhxQRzfXAbG6oeRKRoRFG5paWzsva9ZXQ3s9PRpKMyZ/Mcc/3qplfb3RwAAJAfOlGVNZyAHdWtSk/e3n77f8MKMHmWfU6d+m84gauJ8wALCVcAgM/NWD9DDicdNpWtl9S7xLZ26Nix6octP8jWo1tta0eo+2r9V5KanipNKzaVsyqcZXdzAABAfsyfL7J5s0jJkvYm2G68UaRYMZFVq0T+/NO+doS6uXNFjh4VqVxZ5Pzz7W4N4DdIuAIACmw4Aa0wjQyPtK0ddcvWlYvrXGwmz7LahMI3Zc2UjOEEAABAEE2WVaKEfe1g8iz/MMUZ58kVV4hEFN4kuYC/I+EKAPCpTYc3yU9bf5IwCZNBrQfZ3Rwmz7LZwZMHZd4/88x1Eq4AAAS4Q4f+6z5+2212t+a/YQU06XfsmN2tCT3Jyf9NnsZwAoAbEq4AAJ/6cPmH5rJH/R5So1QNu5sjlze8XCqXqCz7T+6XbzZ8Y3dzQs70ddMlzZEmreNaS/1y9e1uDgAAyI9Jk5xjdrZpI9K6td2tEenUSaRJE5GkJJFPPrG7NaFn9myR48dFqlVzHgsAGUi4AgB85lTaKRm/Yry5Pri1TZMoeCgSUYTJs2w0dY1z1lqqWwEACHD+MFlWVpNnaduYPKtwTXXGeXLVVSLhpJcAV3wiAAA+nRzpYOJBiSsRJz0b9BR/oZNn6RAHP/7zo2w5ssXu5oSMvcf3yvxt8831q5pcZXdzAABAfvzyi8iGDSLFi4tce634DWvyrNWrRRYvtrs1oePkSZFv/u09xnACwBlIuAIAfMaqINUEp52TZXmqXaa2dKvbzVxn8qzCM23tNDNhWfuq7aVW6Vp2NwcAAOSHNTGVTpZVsqT4jdKl/0v4MXlW4Zk1SyQxUaR2bZF27exuDeB3SLgCAHxi4+GNZrKs8LBwk3D1N9bkWTrkgQ59gILHcAIAAASJgwdFpk1zXre68PsTq03axf3oUbtbE3rDCejQDgDckHAFAPjE+8ucY3pdWv9Sv5gsy9NlDS4zQx0cOHnADH2AgrUzfqf8vvN3c/3KJlfa3RwAAJAfEyaIpKY6Kxn9YbIsTx06iDRrJpKcLPLxx3a3JvjpRFnffee8znACgFckXAEA+ZZ8OjljsiyrktTf6ORZg1oNMteZPKvgfbH2C3N5bo1zpVpsNbubAwAA8io9/b+u+v5Y3aqYPKtw6ditmtyuX1+kZUu7WwP4JRKuAIB8+3Ltl3Ik6YhUj60uPer1EH9lTZ6lQx9sOrzJ7uYEtSl/TzGX1zS5xu6mAACA/PjpJ5EtW0RiY0Wu8eO/6zq2bHS0yJo1IgsX2t2a4DbFGeeZ9wPDCQCBl3B96qmnJCwszG1p1KiR3c0CAHgYu2ysubyt9W0SER4h/qpm6ZrSo74zIczkWQVn/aH1smTPEokIi5ArzrrC7ubAjxHrAUAAsKpbb7xRpHhx8Vs6eZaVEGbyrIJz4IDI7NnO6/6cgAds5tcJV9WkSRPZu3dvxvLbb7/Z3SQAgIs1B9bIbzt+M8m1Qa2dXfb92eDWg82lDoGQcjrF7uYEpYkrJppLTW5XKlHJ7ubAzxHrAYAf27dP5Kuv/Hs4AVdWGz//XOTIEbtbE5w+/VTk9GmRtm1FzjrL7tYAfsvvE66RkZFSuXLljKV8+fJ2NwkA4MIaD/XyhpdLlZJVxN/1bNBTqpasKocSD8mM9TPsbk7QSUtPk49XOSerGNBigN3NQQAg1gMAP/bRR87kWqdOzkmp/N3ZZ4u0aCGSkiIyaZLdrQlOE50n1mXgQLtbAvg1v0+4btq0SapUqSJ16tSR66+/Xnbs2JHl41NSUiQhIcFtAQAUjMTURJm00hnM3tH2DgkEkeGRTJ5VgOZtnSe7j++WMsXKSK8GvexuDgJAbmI94jwAKERpac4JqNQdgRHnMXlWAVu5UmTFCpEiRRhOAAjkhGv79u1lwoQJMnv2bBkzZoxs3bpVzjvvPDl+/Himzxk5cqSUKlUqY6levXqhthkAQsnUv6dKfEq81ClTR7rW6SqBQifPCg8Ll/nb5suGQxvsbk5QmbjSWfVwbdNrJSoyyu7mwM/lNtYjzgOAQvTDDyLbt4uUKSNyRQCNyX7ddSIxMSLr1okwTE3BVLf26iVSrpzdrQH8ml8nXHv06CFXXnmlNG/eXLp37y7fffedHDt2TD7X8VgyMWLECImPj89Ydu7cWahtBoBQYlWI6riomsAMFNVLVZdL619qrjN5lu/EJ8fLjHXOYRoGtGQ4Afg+1iPOA4BCNHbsf13Ho6MlYJQqJXLttc7rTJ7lO6mpIpMnO68znACQrcD5dmwmHSwtDRo0kM2bN2f6mKioKImNjXVbAAC+t2T3Evlj9x9SJLyI3NzqZgk01uRZE1ZMkOTTyXY3Jyh89vdnknQ6SRqVbyTtqrSzuzkIQNnFesR5AFBItm4VmTnTeX2wM2YKKNawAtOmiRw+bHdrgsOsWSIHDohUqCByySV2twbwewGVcD1x4oRs2bJF4uLi7G4KAIS8Nxa/YS6vaXqNVCxeUQKNVrhWi60mh5MOm6ERkD8Oh0PGLh2bkcwO0zHUgFwi1gMAP/H22yLp6SLduok0aiQBp21bkVatnJNnjRtnd2uCw5gxzsubb3aO4QogcBOuDzzwgCxYsEC2bdsmCxculL59+0pERIRca3UPAADYYmf8Tvli7Rfm+rAOwyQQRYRHyJB2Q8z11xa9ZhKGyLvFuxbLyv0rpVhkMYYTQI4R6wGAH9IJCT/80Hl9WGDGeWbyrHvucV5/6y2RU6fsblFg054nOqav66RkALIUKX5s165dJuA+fPiwVKhQQc4991xZvHixuQ7APjqD9KFDh/L03PLly0uNGjV83iYUrnf+fEdOp5+WzrU6S6u4VhKobm9zuzz3y3Oy+sBqmfvPXLm47sV2NylgjVk6JqPiuWx0WbubgwBBrAf4H+I8mIpQnbywcWOR7t0lYOnkWY8+KrJ7t4iODX7DDXa3KHBZY+Hq+6FOHbtbAwQEv064Tpkyxe4mAPAShDdq3EiSEpPy9PzomGhZv249wXgAO3HqhLy//P2Arm61lIkuI7e0ukXe/vNtU+VKwjVvDicels/XOCc5urPtnXY3BwGEWA/wvzivcaNGkpiUtzgvJjpa1q0nzgtoaWnOilA1dKizojFQRUU5q1wfe0zk1VdFrr8+sLfHLsnJIuPHO6/fSZwHBEXCFYD/0YoHTbb2fbSvVKiZuwqkg9sPyowXZph1EIgHrvF/jZdjycekXtl6clmDyyTQDe0wVEYvGS1ztsyRvw/8LU0rNrW7SQFn/IrxkpKWIq0qt2KyLAAIYBqjabL1k759pXEuK83XHTwoN8wgzgt406eLbNsmUq6cyI03SsC74w6R558XWblS5KefRLp0sbtFgceaeKx6dZGePe1uDRAwSLgCyBNNtsY1YFKTUJNyOkVeXviyuT68w3AJD/ProcBzpE6ZOtKvcT+ZtnaavLrwVZnQZ4LdTQooqWmpZogJq7qVybIAIPBpsrU1k9eFHh3PXpOTasgQkehoCXhly4rccovIO++IvPIKCde8vCdGjXJeHzxYJCLC7hYBASPwvykDAArNpJWTZFfCLqlSsorc3OpmCRYPdnrQXH6y6hPZcmSL3c0JKDp52vb47VKxeEW5oTljowEAELBmznRWgpYoIXLffRI0dOIvTRTOmSPy5592tyaw/PyzyLJlzuS7VgsDyDESrgCAHFcyjvxtZEaCUmejDxZnVz1bLql3iaQ50uSFX1+wuzkBw+FwyMu/Oyue7z37XokuEgSVMAAAhGol47PP/lfdqpWhwUInebKGR3j6abtbE1hedsZ5MmiQzopnd2uAgELCFQCQI5/9/ZlsPbbVVDIObjNYgs2TFzxpLietmiRbj261uzkB4cd/fpSV+1dK8SLF5c52TKIAAEDA+uEHkSVLnJWMw4dL0NGJs7TK9bvvqHLNqRUrnFXB4eHB+Z4AChgJVwBAjqpbn/vlOXP9/o73S0yRGAk2Hap1kG51u8np9NNUueaQVd16W+vbpGx0EFXCAAAQatWtVuXn7beLVKwoQadePZHrr3def+YZu1sTGHTMW3XVVSK1a9vdGiDgkHAFAGTrg+UfyKYjm6RCTAUzMVKwsqpcJ6ycIJsOb7K7OX5t4c6FMm/rPIkIi5BhHYfZ3RwAAJBX06eLLFokEhMj8tBDErQef9xZrTlrlnN7kbkNG0SmTnVef9A51wGA3CHhCgDIUkJKgjw1/ylz/anOT0nJqJISrDpV7ySX1r/UVLk+NDeIv3D4YOzWR+Y+Yq7f3PJmqVGqht1NAgAAeXHqlMgjzr/pcv/9InFxErTq1xcZONB5XbvIa2UvvPvf/0TS0kQuu0ykdWu7WwMEJBKuAIBsu40fTDwoDco1MF3Hg90rF79iqja/Wv+VzN823+7m+KXvN38vv+741Uycpkl4AAAQoN57T2TzZucwAqFQyagTgxUvLrJ48X8VnHC3dKnIF1+IhIWJvMAwW0BekXAFAGRqV8IueX3R6+b6S11fkiIRRSTYnVXhLLm9ze3m+vA5wyXdkW53k/yK7o8R80aY6/eefa9Uja1qd5MAAEBeHDv233imOoZryeDtxZShShWRhx92XtfLpCS7W+R/RjjjPLnhBpFmzexuDRCwSLgCADLtNn73d3dL0ukkObfGudK7YW8JFVq1WSqqlPy17y8Z/9d4u5vjVyavmiyr9q+S0sVKy8Pn/vuFBQAABB4dSuDQIZFGjURuvVVChg6dUK2ayI4dIq+9Zndr/MsPP4jMnStSpAiTiwH5RMIVAODV9HXT5esNX0uR8CIypucYCdNuRSGiQvEK8r/z/2euP/DjA7L3+F67m+QXjiQdMftDPXLOI1I2uqzdTQIAAHnx66/O4QTU2LEikZESMnRysJdecl5/7jmRdevsbpF/0GrfIUOc1++6S6RWLbtbBAQ0Eq4AgDMcSz4m93x/j7n+8DkPS9OKTSXU3NfhPmkT18bsi7u+u8tU/Ia6h398WA6cPGCGXRjWcZjdzQEAAHmRkiIyeLDzula2XnCBhJxrrxXp0cO5LwYNck4QFeqef945nq8Ou6BDTADIlxA6jVVwduzYIYe0K0YulS9fXmrUYGZnAP7n/jn3y94Te81EWY+d/5iEosjwSPmo90fS5v02ZgKtL9Z+IVc1uUpC1S/bf5EP//rQXH/vsvekaERRu5sE+HWcp4j1APglTaatXy9SqZLIyy9LSNKeW1rh26SJyKJFIu+8I3LffRKy1qz5r+r37bdFSpWyu0VAwCPh6oMgvFHjRpKUmPvBtqNjomX9uvUE4gD8yierPpGPVnwkYRIm71/2vpmJPlQ1r9RcHj33UXnml2fkrll3SYdqHaRGqdD7nX3i1Am57dvbzPXBrQebMX2BUInzGjdqJIl5nFQlJjpa1q0n1gPgZ2N0vvii87omGcuUkZBVvbrIK6+I3HGHc6KoCy8Uad5cQk5qqrPK9/RpkcsvF+nb1+4WAUGBhGs+acWDJlv7PtpXKtSskOPnHdx+UGa8MMM8nyAcgL9Yd3Cd3D7zdnP9iQuekAtqhWAXMw9a4Ttz00xZvne5XPH5FfLrzb9KVGSUhAodSkHfExsPb5QqJavIi13//ZIGhACN0zTZ+knfvtK4Qs7jPLXu4EG5YQaxHgA/snu3yPXX6x93kdtvF7niCrtbZL/bbhOZMUNkzhyR/v1FliwRKV1aQoomm//4w1nVqkn4EJq3AShIJFx9RJOtcQ3i7G4GAORZQkqCXPnFlZKYmigX1b4oY9KoUKdd56ddOc0MLbBkzxIZOnuojLlsjISKD5Z/IJ+u/lQiwiJk6hVTpUx0CFfCIGRpsrV1HHEegACmY5Vec42eSRJp0ULkjTfsbpF/CA8XmTxZpHVr5/ilAweKTJ/uvD0UfP21yGuvOa9PmOCs+gXgEyHyWwQAkJXk08nSZ0ofWXNwjVQuUVkm95ssEeERdjfLb9QuU9vsEx1mYeyysfL2H29LKFi8a7Hc+/295vrILiMZSgAAgECkE0LdcIPIb7+JlCwp8sUXItHRdrfKf5QrJzJtmkjRos4E5GMhMn+BjuM7YIDz+vDhIn362N0iIKhQ4QogS2npabL+0HrZcHiDbD6yWZZvWS7SX+S7w99J5MpI091YK9+0i7WO9RkbFSulokpJuZhyUql4pZDqeh3Ix/iG6TfIz9t+lpJFS8qs62aZpCvc9ajfQ5698Fl5/OfH5d7Z95r3+oCW/wapQWj1/tVy6eRLJSUtRXo16CX3d7rf7iYBAHwtPV1k0yZn4mXzZqm2dKl8IiJ1v/tOJDLS2fVcK/2iokSKFXMm67TbsSaoKlYUiYmxewuQHT2G99zjTCgWKeKs3qxf3+5W+Z927UTGjhW55RbnGLexsc6u9sFq+3aRiy8WiY8X6djxv3F9AfgMCVcAbg4lHpKFOxeayrY/dv8hf+7+00yY46aZyK5Tu0ROZb++MsXKmEmGapauKTGnCcr9TcrpFBn49UD5ct2Xpuv8V9d8Ja3jWtvdLL/16HmPysHEg/LmH2/KLd/cItFFouWqJldJsNlyZIt0+6SbHE0+aiYK+7T/pxIeRqcYAAh4x445Z2RfvNg5ZqMuetu/KorI9Xpl166crU+TUjpGcc2aUozkq39Wtg4dKjJmjHNczk8+Eena1e5W+a+bbxY5fFjkwQdFHn3UeULhvvsk6Ozf73wf6Oe8cWORb75xJuMB+BQJVyDEaYXq3wf+lpkbZ8q3G781iVaHONweU6JoCWlSoYnULVtXopKiZPw746Xz1Z2lXJVyEhYWZioktQouKTVJ4lPiJT453iSldExQTdjosnL/SufKhok88dcTckPRG6Rb3W5SNrqsPRsOOZZ8zAwjsGD7AokMj5TP+n9mxm5F5vT9/nr31817e/yK8XLNtGtkZ/xOGd5xuLkvGCzbs0x6fdZL9p3YJ80qNpPvrvvO/A4AAASojRtFZs4U+fZbkV9/dSbhXGnX8rPOEqlXT/YVKyYvT5wo915wgdQqX96ZpNMqWB3/MynJWQ2ni44DqonahASRv/82y1kisk/HPn/kEZHrrhPp0UOkUiW7thp6vHSCLJ0QSo+jJl2vCr6TxD73wAPO9/hzzzmT1Tt3irz8cvCM6bphg8hllznHq61VS+THH0X0sw7A50i4AiFa1Th/23yTYNVE6/b47W73n1XhLOlQtYOpbNNFf7bG81y+fLmMXzxeGtzcQOIqZj2BiCZgdx/fLduPbTevsTtht6SXSpdZu2aZRSvmOlXvJJfWu1R6NuhpkjvBkrTyd0v3LJXrp19vZp7XYQRmXD1DutTpYnezAoK+bz/o9YEZQmPM0jHywI8PyKYjm2TUJaPMbYFsxroZ5n2RdDpJmlZsKj/c+AOTZAFAoElNFfn9d2eCVROtmnB1Va+eswtxhw7OpVmzjOq2PcuXyxsTJ8oNDRtKrewmitMk7N69Itu2me7J6Tt3SiVN5moCRxfVtq1Iz54il17qvB4sSSt/p0NE6Jity5Y5h4P4+GORK6+0u1WB45lnnJ+JJ590Tii1ZYvI+PEipUtLQPv5Z5F+/ZwnS6xka9WqdrcKCFokXPPhdPpp2ZO4R6S4yKn0U6bKT7+IkzCCP9p/Yr/M2jTLJFh/2PKDnEw9mXGfJom61O4ilzW4zCzVYqv55DW1u3W9svXMonZu2CkfvfSRDHhmgCxNWGomaPptx29mefSnR6Vqyapyaf1LpWf9nib5R1VdwSTbX/79ZXnml2fM7zDd5zpma4vKLexuWkDRExCjLx0t9cvWl/t/uF/eW/ae/LrjV5nYZ6K0rdJWAs3xlOPy4I8Pmu1Ql9S7RKZeMdWMUwuEsqJ79ojW54WfOiVy+rRIRISzUgzwN0eOiHz/vTPBOnu22zABJnF0wQXOqjZd6tb1zWtqIk+TNrqIyMpdu+TecePk80GDJO6vv/QsvcjSpc7l6adFKlRwVr1qArZbt8BPXvkjTXi/+67IQw+JJCeLlC0r8tVXIuedZ3fLAov+nn/iCefJCR1mQPehvo8//FCke3cJOPpe0OTxq686K9b1RItODqbjMAMoMCRc80G7W/aa10vkQZEJ+yeI7Bczg7V2zY0pEmOSRboUL1rcVJCVLlZaykWXM12otRs3UJA0maZVjD9u+VFmbpppxmJ1VaVkFbmsvjPBqslNfc8WtMiwSJGtIveeda+0bt3aVL5+v/l7+W7TdzJv6zxTDfvB8g/MouOJnl/zfJN81SRsg3INCrx9wUxPCH3292fyv5//J9uObTO3XXnWlTL2srEM65BHenJtWMdh0rB8Q7nl61tk7cG10uHDDnJn2zvlsfMfC4iJx9Id6TJ93XSTNN4Rv8PcNrT9UHml2yvmbxkQ0k6flqa9epku0jJhgnvySrtglyjhXIoXd16WKeNMbuiiPwMFSZMmK1Y4K9RmzXJWtOptFu0irIlNTbBqclPHWi1gjogI+U1E9t51l8S1bi2yZ48z+asTcP3wg8jBgyKTJjkXPXnRqdN/1a9Nm3IyIz/0u6WOw6njjq5d67xNj/tHH1HBmB86NEadOiI33ujsgn/JJSLXXuusgNVkbCC8L/QzOHy4s+pZ3XSTc3Iw/TsGoEDxbSofTqWdkqjwKElJT8m4Tce+TE1PdY5jmRKf6XOLhBURGSwyYtkIaXesnUkm6dKwXEO6byLPiZMNhzaYmeZ//OdH+Xnrz2e8B7XyTpOsvRr2klaVW9leja0Tad3R9g6zJJ9OlgXbFpgqXF3+OfqPzP1nrlmGzRlmqmR16IHzap4n7au2N1W4drc/Kzt27JBDOr5ZLpUvX15q6OQTPjwxNGHFBJPE1n2q4krEySsXvyLXNbvOr/dhoNATAmvuWiN3f3+3TPl7iryz5B35aMVHckebO+T2trf75ckCrXT+esPX8vyvz8uq/avMbbVL15Zxl4+TC2tfaHfzAP+QnCzpUVESrt2mPbtr66JjV2amSBFpFBsrX+gJzrffdlaXNWwo0qCBMxHG717kJXGi3ZoXLHAmWefNc46j6kqHBtAEa69eImef7Uxq2qlKFeeM77polbgmhTX5qgnideuc48nqomO+Vq/uTLxqJW779iK1a/v15ySvcZ7PYz2tbNaJsN5/X2TNGudtevJHxx+9806/3ocBQ6tB9eSGJrPfekvks89EPv/cmbjUfaxDZfjbftYeGfpZe+EF58R4qnJlZ6K1d2+7WweEjIBIuI4ePVpeeeUV2bdvn7Ro0ULefvttOVuDCJvVKVNHFvZcKG3atJFbxt4i5euUN1WFmnBNTE00M7tby/FTx+Vo0lE5knTEJMFSHakiVUR+2PODWVyVjymfkXx1TcTqhEWBPj4gfJdc3ZWwS1bsWyF/7PpD/tzzpyzZveSMBGuZYmXMJEjd63Y3Y6RqVau/0vd293rdzfLmJW+aMTFnbZwl323+ziRiNx/ZLG/9+ZZZlFYPnl31bGlXpZ00Lt/YfE40KavDGPhDEN6ocSNJSkzK9XOjY6Jl/br1eQ7E9ffM8r3L5fedv5vKYa1stiZB0yr7hzo9JPd1uK9QKppDSbmYcmbSscGtB5vhMXTyudcXv26WC2peIP0a9zPV5Pp3wy56UuPX7b/KNxu+kU///tT8PVI6bIBWtT54zoMM4wFb+Gucp1WqKxY647zlgwZJK02UaqJVv8gmJoqcOOG+HD3qTH5oV+7UVIk5fFiusKpjXStktRu1lXzVxbpev75zRmxAk6taHbpqlTNZosuffzrfX660kvrCC52VjJpo/bdrv18qWtTZVl1eeUVk61ZnQkiXn35yTkz03nvORennTX8PtGvnnNBLPx+6+EH1uMZ5jRs1kkSdlCoPYqKjZd36PMZ6eqJHh2tYtMg5hIQmsa1J0PT3h07y9OCDDNfga9qT4c03RQYOFPnf/5wnDXRMV11athTp399Zra3X7Uq+6kmNhQudw4poEn7/fuftWsl6113OhLH2wABQaPw+4Tp16lQZPny4jB07Vtq3by+jRo2S7t27y4YNG6SiH405ol2lXRM9WXXR1aTsxnUb5Yu3v5Bhzw6TpOgk2Xhko5m8RpNohxIPmWXhzoVuz9PhCiqVqGQq+6rHVne71KVC8QomwaYVstodG4FLh5zQGeS1i71ONLXn+B7T3XfD4Q2y/tB6c6lJfU+aRNMk5MV1LjZL67jWGZNdBRKtujQnGzo2MF22dXxJHXJAx579Y/cfpiJPKzc1caSLK/1MaFJLPysVYypKxeLORT+T+hnVfaRLdGS02Te6r80/j0tNaqempZrPq3UiJeN6Nrdv37ldktokSeMLGkux0sXMOs34zhL236X+CzP/m+3VyxOHT8iyr5bJZ6s+k7onvI+vpuvS8Xfjk+PNe0SXI8lHzDABWsGqv0M86cRnmgi8qslVZogTFBytDl14y0IzVMa7S941lwu2LzDLfbPvk5qlakr7au2lbVxbaVS+kRmOQMfR9eVxMeOL//s7Q98XemJm2d5l5uSMToZl0RMwg1oNkqEdhjKsBGwTKHGedpWWYsWci1VBlhlNfhw7Jps3b5a3Z8+Wx666SipqElZnht6xw5mQtZJonnSMS630q1bNuVjX9VLv0y/L+to6diYCO6GqiTNNqu7e7Vw04ajvEe32q4sm8b0lLdu0Ebn4YueilaD/TnYVcLSCdcgQ56KJS53MR7s+6+dCqwm1etRKyLrSiby0K7dW6+nvCGspV86ZWNKko17qovtGh1nQ/e256O168sQ6iZKL6+Hbt8u9SUlyTePGUjE6WsLS08URFiaO8HCziMt1z9t3nTghby5dKqenTHF2VfdGT+jo7wlr0ZM527c7k9R66Tk0XYsWIoMHO7u/k2gtWK1aOROamvB+5x2RL790vl910USsvg+tEwWNGztPqOnvb/3d7asJ4/T9qL879O+Jvh/0xIxOjqYnZVx/b+jfDE0Q63AC+nkBUOj8PuH6+uuvy2233SY362DVolXwY2XWrFny0UcfySPa/SQA6bh4ZYqUEdkgckPdG8xYlhathtVKPu0arglYTaxZlwkpCSbJpIuOzZmV4kWKm8SrlYDVMWQ12aRJJq0kzLgsEi1REVEm8RQRFmESQNb1zG6zEkZZya6bcn6fn5N1KCuBZl03ly4/Z3Wf9XNe71NpjjQz9IQumoyzruui1WYJpxLMcdVFE2jWdU2ipaR5dGH0UCS8iElKaoJVu9hrEkdnFQ/GcRdLRpWUPo36mEUlpSbJX/v+Mgmk5fuWy6bDm8xnRPfbzoSdZrFdF5F1sk7Ey/elTOmhu0LkkWWPiCzL+0trwlmHj+hWp5uZ/KhqLGN3FSb9/aXDDOiyM36nTF0z1QyToZPDbY/fbpbP13zu9hw9CVCpeCVzckBPnlknBfT3tC76ebd+Z+nJAF3094j2nrB6UeiJif0n95uTNPq7xxsdTkKryK9ucrU5KROIJ2QQXIIxzjPduMuVk4RTp0T7ZAx4+GGpaMV6mljScQB11nhNrlmXumhSRce41EUnG8qKJpOsMWP1Usfn1GSw3m5dWtc1Oatt8rZoAsDbbdnFYQV9f04fYyXPrOuZXeb1vuweo8l1TX5oZZnrorfpJDXHj4vExzuTq7pY1/Uyu+pIPRaaWNTEjSZWddHEmiZdg42+V3U4AV2UDuOxcqUzgaSJJP2c6KJJ2L17nYuNdGrZkXpFh0XIJa1BPlevPPxw3hugCTxNvHft6pyELLPELQpOx47ORYeMmTbNWfE6d67I4cPOymNdPD/PmgC1ThBoxax1Ek/f/9bn2jpBoJf6e0QTqPp7RBe9fuCAM9nqOl6zK123VrxfcYXz8xSoJ2SAIOHXmZlTp07JsmXLZMSIERm3hYeHS9euXWWRnlXyIiUlxSyWeA1oTO+LLMbZyocT/55F2rNxj5xKOpXj5x3a6RzzR7fPWoerOP0XFicXlL9ApLwzgRefGi/7k/bLoZRDZtmXuE8OJh80y4HkA5KQmiAnUp3rOpl8Uk4ePym75MxqNwSO2CKxUr5YeSkfVV7KR5eXGjE1pEaJGlKjeA2Ji44zyVX9TKQnpkvCxgRZuNG9Kjo75rmZ/cHOhFYd5eU9n5P3fW7b2kb/lWsjUu6/z8juk7tlb/JeOZpyVI6lHJOjqUfl2KljJiGl4y2fSj8lyWnJZtHnmMS9y3c6/dmqONX9q9Xr5sRDeHjGdV3croe7Xz9x/IQs/m2x1GhWQ6JLRJt1pUt6RuVsRuLM47bk5GQ5tP2Q1G9UX2K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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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Z5dvbe0/bocfU8z21fv36s957Fk2C67jGrl0HM9t/mnzV1/H8bFjd/c517LSduv1aOerZTq0Y8WynfrHxTMh7fjY10ayVLNom132t4/J6O3ZZoe8Bz2Nh0c9UZl8a9X5vnyXrxID1fOsyo8e6vk6grBMA4B/Vrdqzy9swOlaF67lo8lR7rmi8prGC6wk3jSus4bQs+rPe7kpPgGYWv+jfaY0brEWTv95o9aye5NbYTJPB3v6+6zBPmlx1XZ8Vw7h2//dG48BztVXjFy3k0O8L+jhrXgTPOQG0mtj19T3vV7oe18d46yWilbl6n8ZLWiigMbQnTfhqLKlxkev65s+fn+n2wh1DCgAAAoomozQo0aRrdmg3fk2A6jiMnhMWWTQpZk1UpQGXnmXW7jPaXVm7F1tdoXU8KW9nqbPbpqzS19XKvUcffdTr/VaiyKLDIOh4lK6srky5pclTHcZAE6B6xt6bKVOmmOoFrdR0pZUMWaGVipqs1eOhi1Y6aLWEJlet6lCLjv05ePBgE7RrAliPn1ZXaBWiJ008VqtWLdPX18o6HQdWnThxwrwPdAwsrXbWSs/sJIH08TpGmb7vtHJBA1Y9nvq+cp3wzKKJcU006/O0stezkkDHS9PbtD06jIDuK00c6n6w1qcnDqykrkW/KLhOmqafI2/7yJOuU9evbfI2wZa3JKgmFLW7vXbT93xvquwm0ayKU2+fOdd26pcH12pnVzmpiNdksW6Hdo3UsYT1/a6/Q3Tfezt2WaHvIf0Sowlg12EFdJ/p7yWtvM3s+Xv27DnrdqtrvvV8q8uidbvnY11fJ1DWCQCwl3Yr154gGU1omJW/75qw02Fl9O+onuDU+Dq7dCgrzzjHkyZRXXuj6N8k1zjIoklJfay2RYcM0PkJdBglV3ri1hoSzJO3IXEsu3fvNn/fz9VWXa/Gpjqckv7N0/2iE916npzV2No1ye1tW/QksVWMoTQW96TxqFYRa3GBxvP6+lac5bq9GvMtX778rNgvJxPghjISrgCAgKFVUHr23HVg/KzQwE4rFLXbkgZVGSVcNdHmGqhcddVVJsmiXYk++ugj06VGaaLE9XEZ0aBJg0LXpJPV9cg6g50V+roa/GTlNZVW5Hk+NqvJzsxoEKr7UKs2M6LVwRo4ajckHXpAk6Qa1Hk7i55RtYFrZbCO06pBvo5bq8Gfa2Jbj4+Oa6qJNg0s9TW8TQigVa867qcmOjOjwaXr/tP16+tolbEmQq3AWZOWWu3smTC1jq1229eJIJ5//nlTlWqxKqW90WEEdL/pe1W74emYpa7VIjr7u1aWvPXWW26VgK6TPmhi0nXyJ6Vd+1yT5lp96jru7bnee1rhqtvsLXnqjSbHNaGok1p447r/XI+zfl503+j7x5V2q9Ok77kSxNpOHaZDK2Gy8oVP3wu6Xa5Vrp6fTd3XOmacjtfqSve16/jL2aFJd7Vs2TLTtdKiP+v2W/ef6/maPNcqcNeKmT///NNt/fplTT8nul59z1r0C5z+DnW9LVDWCQCwj54s1GSknvjVOM0bHYfUinu80d/tGtfopJX6N10TnFpNaZ2A1ISixnEa51j0Zx0z3zXmWbJkSaZj1usJUu3NkllRhMYkOiyTPlaLFRYtWnTWY3SeBe3xpvFBdoortCJUYxLPiSEt+n1EYyErZlZa5OGN9mzKbHs0/nN9jLd4SOMX6zFaPKHxs2e1rMZh1snhnEx6i/8wpAAAIGBMmjTJJF0z667kSQM/rZTMSoLJMzDUbk9Wd1et2NTkgVa+ec56rnQGVk+arLVogkd/LlCgQLa2QZMOGgDqmFmeNPljTSqU1/Tsv84eq4m0cyW1NMmigbAmrJ966imTvDxXBUBmdJ/rxGPalds10WjR19KknJ6112SpVnt6+vbbb013fM8EaVZYXfuts/waiGpQO3r0aLeu0FoloYkjHRbA9fGeQwNkNEOssgJbrerV7mOaZHYdx1LX6bm+999/322MXuvEgeui4/8qTepppbQ1LmtmdFwxfU39DHm+rv7sefJCK4I1Qa5VxxlVpOp7X7sQ6jF1rRTVoF+Hj7D2n9L3tn7J0dntz1VVodui+0ArUT3pOjxnIdaTMK6Tbul7Vsds1kSg1W5v+1q7QHqr3NQvK1kZtkPff5q818+RK/1Zh3jQ5L5rYlzXqWMmW3TCNN1O18n59D2oVc86Vq41eZ5WPutx14pvPSYWrc7XkzeuFfCBsk4ACHaHdhySfZv25emir5ETelJTex5kNMST0vuWLl1qYhiN2fRvmP59079nShO22oNM//5r13Y9kau9SCwax40bN848R0/A6hBWOpa8jh+qrEmllI4nag2bpHGS/o3JyXA/+jxN4lo9jPREoLcx+3VoAO2yr9unVboak+uEXhnNkaCP0UlUe/bsaWIQq61Kf9bvGBqb6VBc+rdSTwTrBFw69Fle0phIt1fjN+3BpX+HPSfe1eOiRQzas0z3/7Zt20ySW4sBPMfZRyYcAAD4uZMnTzqGDx/uiI6OdkRERDg++ugjx//+9z+3pV69eo7KlSub6/v37zfPGzt2rGZLzDJx4sT09W3bts3cpvdb+vXr5yhTpkz6+j744ANHmzZtzOO++eab9MfpesLDwx2NGjVyvPTSS6YtTz75pKNZs2aOgQMHuq2vUKFCjtq1aztuvfVWx8iRIx1XXnmlWd8TTzxxVlveeOONDLf/1KlTjhYtWjgiIyMdd955p2PUqFGON99807xGkSJFHIcOHcp0XQ0bNnRcfPHF6T//+uuv5rHa9h9//NFt0XZ37tzZMW/evPTHV6tWzTy+fv36jjNnzrhtp97n6uabb3ZUqFAhvV3W47StmdE2alu9ueqqqxyFCxc22+kqOTnZUbp0adO+bt26nbXvhg4dap53wQUXOFJTU93u1+c8++yzbu3U7bf2xZdffmnWqY+bMWNG+uMmTJhgbmvdurVjxIgRZj8WK1bMvAddt7tDhw7mtfX+Dz/80NGrVy9H06ZNz3pdve4Zlq1bt85RsGBBxyOPPJJ+m76X9DPw0EMPmffebbfdZl5Tt1/bfi5LlixxNG7c2LzOXXfdleX9r589fY7uv9dff928/x599FHz3nZ9r+lz9XH6OYqLizvntr344ovmNn2fvf/++47Bgwc7ChQoYPZNUlKSeczPP//saNu2rfm8zZw50+353tZ59913p78H3nnnHfMZ1v1UsWJFx9SpU9Mfp+/XOnXqOEqUKOF4/PHHzWN1v+jrzJo1K/1xzzzzjFmf7uOPP/7Y8cADDzhKlSrlqFGjhttnyXXbs0J/F+hjr776ascnn3xijqn+/PLLL3vdRv2surrmmmvM7wJ9X+h7QI+L/jx//ny3xy1fvtwRFRXlaN68uTlm+h7U93aXLl3OalOgrBMAAlliYqL5266Xrnbs2OGILhydHrPm9aKvpa+ZVRpf6PM0HnA1ffr0s/72aeyov+/197r+ne3atavj2LFj5m+Z/g34/fff0x+r8VxMTIyJjyx6Xf/Oakygf6s13vL8u5jRYsVBGt8XL17crV1WjPzXX3+5xcHWorHLjTfe6Dh69Khpr+ff302bNjl69+5ttkm/j+j3jkGDBjnS0tK87jMrbs5osdatsY7G1rq/mjRpYvaf3q/71lu7Xdev8YvF9TmusYnGQd7apNugMewvv/xi7uvZs6dbHHn69GkTB5133nnmWMTGxprtX716tdftDWWJGXyuFQlXAIDfs4KNrC5WEGMlXDUZ6hoQZZRwdV1H0aJFTZJTk6+edP0aQGowp4mBmjVrmqTMsmXLzkowbt261SQONOlWvnx5Eyy6Jv2yknBVJ06ccAwbNsxRq1Ytk4TTwFADWk28alCU04TruRbXRKoVpHkGc54J1y+++MIRFhbmlrhy3R+5Sbju3LnTHJfLL7/8rPvuu+8+075Jkya53b57925HlSpVTFDsmgQ8V8I1q+8DTcZqkkiDZE3E3XDDDWd9gdHXtwJ0fb9oEmrv3r1ZSriq559/3nxBWbFihflZvwTcfvvt5vhr2/R9uGHDBnMMMku4fv755+Y9M378+Ay/IGS0/7/++mtH+/btzTHURb9o6AmGjRs3uj1Xt8H1C8C5tk0Tj7oeDeT1s6EJ0yNHjqTfrwlOTVh7vpfOtU5NjLZs2dJ8kdAEuCZSNTms+9yi+6p79+6O2bNnmy83evy0Ha5JWaWJ34cffth8ydD1XXjhhY5FixaZ7cxNwtVqZ926dc1nWX9/6D7zPCYZJVw1oNeTCHpSQ9uuX5i87SOlX2z1mOvvqbJly5pjFh8ff9bjAmWdABCsiRmNH/QEVH4s2Um2+hP9u+gaO7nS+DSzOCg/aazhWSBg0eSm5992BOfnOkz/y6wKFgAAO2lXdh1jyXPin5w+Lj/ogPQ6BqR2fwpE2qVLhw7wnDHeX2kXdh1rU7traddsICM6Bpt2GZwxY4bdTQEAhBDtyq3dszVW1eF/kD1vvvmmubSGGHCl4+zrkAA6Z4M/aN26temO79ldX+lQBDqZrQ4dheD+XDNpFgAACPhAR8eA7Nu3L8lWAACAIOQt0WrRSVGzMjFqftGxXjOi45kjNJBwBQD4PZ0sRwdv14mvfPE4ZK5SpUpy8cUXiz/T2VN1EgetJNbB/x966CG7mwQAAAAAJFwBAP6vTJkypoLRV49D5i677DKz+LN169aZBHu5cuXMjLc6wzwAAAAA2I0xXAEAAAAAAPIQY7gCofW5DretVQAAAAAAAAAQZEi4AgAAAAAAAICPkHAFAAAAAAAAAB9h0iwAAAAAAACb7Ny5Uw4fPpwvr6WTzFatWjVfXgsIZSRcAQAAAAAAbEq21q9XTxISE/Pl9QpHR8v6DRtIugJ5jIQrAAAAAACADbSyVZOtn/fuLfXLls3T11p/6JDcPH26ec3sJFyPHz8uJUuWPOv24sWLm/sAnI2EKwAAAAAAgI002doiNlb82ddffy0XXHCBuT5lyhR59tln7W4S4Le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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_t = numeric_train[nan_columns[18]]\n",
    "\n",
    "test_density_fillna(x_t, [\n",
    "    lambda: 0,\n",
    "    lambda: x_t.mean(),\n",
    "    lambda: x_t.median()\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule[nan_columns[18]] = x_t.median()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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01113aft274rKAAAgNBVVFqkmqkbRilZ2cnanbZcK2PBHnAcAQJirqlJaWVnAErAJJGCBdtuvRiCxsbE677zz9Mwzz+i2227TmjVrdP3112vQoEG66KKLXMAOAABCz6adm9xxRlSGYqJj9nt79XX1ysnJUWJ5ojtPAjb8EecBABCmNm92R7t69pTssJ9q671xXk5MzDcVsB7Pfm8XiCT7lYBduHChfvazn6lfv36uIsKC8tzcXL399tuuauLss8/uvJECAIBOs7nMG5hnRmd2yvZK8ks0+6PZ+mjtR+58aX2p6hvqO2XbCA7iPAAAwtQm7472sszOifPWlpSoZPZsVb/1lhpsJ211tVRR0SnbBiJFbEfuZEH4o48+6vaAnHbaaXrsscfccfTulfWGDRumOXPmaOjQoZ09XgAA0Ak2lXkD86zorE7bZnr/dI0YPUKx+bGqi6pTYWWh+vTs02nbR9cgzgMAoHtUwJZmZamzGk2NSE/XpIEDtTM5WSnl5ZK1JEpO7qStA91fhxKws2bN0g9/+ENdcsklriqiJX369NE//vGP/R0fAADoZLUNtdpasbVTK2B9oqKilKpUt8DX9l3bScCGIeI8AADCmLUG2F0BW9pJFbD+ylJTv0nADhvW6dsHuqsOJWBt6tngwYMbKyH8V1TOy8tz18XHx+viiy/urHECAIBOsqN2hxo8DUr0JCpJSZ2+/cYEbMV2qXenbx4BRpwHAED4irfFtyorVRcdrfL09E7ffllKigbYiW3bOn3bQHfWoR6wI0aM0I4dO/a4vKioyE1LAwAAoWtbjTdgzlSmq1jtbKmeVHfsErAIO8R5AACErx5bvbOcSjIy5Gm2M7UzlKZ64zxXAQugzTr012gVEC0pLy9XYqJ39WMAABC6FbAmw5MRkO2nKMUdWw9YhB/iPAAAwleP3TtRizICE+ft9CVgC4nzgIC1ILjuuuvcsVXL3HTTTerRo0fjdfX19frss880ZcqUNm9v/vz5uv3227Vo0SLl5+frhRde0DnnnNPq7efNm6djjz12j8vtvtnZndVaGgCAyEjApqvzp6WZZHkXZCiqLGo1mYfQQ5wHAED4S9qdGC0JQPsBY4twORUVUnV1QB4DUKQnYJcsWeKO7cfUV1995fp/+djpyZMn6/rrr2/z9ioqKtx9bKGH8847r833s1V5U317XXYvBAEAAPatsq5SpXWlAU3A9lRPRSnKLfa1s2ZnQB4DnY84DwCAMOfxKHF3BawlYGMC8BB1cXGqSUhQvCVfLdkbgDYHgCI9Afvee++540svvVT33ntvk+C4I0499VR3aC8LxNMDtDcHAIDubE3ZGnnkUc+4nkqq7vwFuEy0otUzqqfKPeUq3FUYkIW+0PmI8wAACG9xW7YotqbGJUXLUlMVmCYE0q7kZG8CtqhI6tUrQI8CdC8d2lXx6KOP7ndQvj9s+lu/fv104okn6qOPPtrrbaurq1VWVtbkAABApMopzXHH2cmBndKdHPVNGwKEF+I8AADCU1KON85Tnz5qCGBl6q4Ub79/+sACAaiAtaljc+bMcQH5vqaRPf/88woEC8YfeOABHXLIIS7gfvjhh3XMMce4nmQHHXRQi/e59dZbdcsttwRkPAAAhJtVpau+ScAGMGb2JWBtIa4BGhC4B0KnIM4DACD8Ja3yxnkKcO90q4B1rAIWQOcmYNPS0tyiDL7TwTBmzBh38DniiCOUm5uru+++W//6179avM8NN9zQuKiEscqIQYMGdcl4AQAINUGpgE0M6EOhExDnAQAQ/pJWr+6SBGylLwFLBSzQ+QlYm47W0ulgmzp1qj788MNWr09ISHAHAAAiXX1Dvb4u+9qd7pfcTwUq6JIKWBKwoY84DwCAblYBW14esMehAhZovw41BamsrNSuXbsaz2/YsEH33HOP3nrrLXW1L774wk1ZAwAAe5dTmKOq+irFRsUqMykzoI+VEuXtDVZcWawGT0NAHwudizgPAIAwVFio+IKCrm1BUFmpmKqqgD4WEHEVsP7OPvts1x/spz/9qUpKSlx1Qnx8vHbs2KG77rpLV1xxRZu2U15erjVr1jSeX7dunQu0MzMzNXjwYDetbPPmzXrsscfc9Rb8Dxs2TBMmTFBVVZXrDfbuu+8G5QcBAADh5ouCL9xxVlxW43TzQOkR1UMxUTGq99Sror4ioI+FzkWcBwBAGPrCG+dVp6YGfHZIQ2ysZAtx7dyphNJSfbPbFkCnVsAuXrxYRx11lDv97LPPKjs721VHWAD917/+tc3bWbhwoQ488EB3MNbDy07fdNNN7nx+fr42btzYePuamhr94he/0MSJE3X00Udr6dKleuedd3T88cd35GkAABBRluQvcce94noF/LEswZuRlOFOl9aVBvzx0HmI8wAACENLvHFeZa/Ax3lOVpY7sgQsgABVwNq0tBTb2yG5qgSrkoiOjtbhhx/uAvS2spVtPR5Pq9fbarz+fvWrX7kDAABovy+2flMB2xWykrK0Y9cOErBhhjgPAIDwrYCtzMpSelc8XmamtH694knAAoGrgB05cqRefPFF5eXl6c0339RJJ53kLt+2bZtSU1M7skkAABBAlgjrygpY4+szSwI2vBDnAQAQhqiABbpfAtamjl1//fUaOnSoDjvsME2bNq2xSsI3zQwAAISOTWWbVFhZ6PqyZsR5WwMEGgnY8EScBwBAmLHFM1etaqyAVVdVwJKABQLbguDb3/62jjzySNe7a/LkyY2XW4+uc889tyObBAAAXbAA1/CU4YqN6tDXf4daEBgSsOGFOA8AgDCzbJnU0KDazEzV9ejR9RWwe2k5BMCrw7/AbEEGO/izVXIBAEDoWVLgnZY2Jm2M1KAurYDdWb9TdQ11XfOg6BTEeQAAhF/7gaoxY2wl1K55zAzvjKqY2lrFFhV1zWMCkZaAraio0J///GfNnTvX9QNraGj6S27t2rWdNT4AANCJFbCWgC0vLu+Sx0xNSFVsdKxLvm7ZtUUH6+AueVzsH+I8AADCdAGusWO77jFjY6W0NKm0VAkbN3bd4wKRlIC97LLL9P777+sHP/iB+vXrp6iu2sMCAAD2qwJ2bNpYLSxe2CWPafFBRmKGtu/ark0Vm7rkMbH/iPMAAAjTBbisAnbduq57XOsDW1qq+Ly8rntMIJISsK+//rpee+01TZ8+vfNHBAAAOlVJVYnWl6xvrIBdqK5JwPraEFgCdmMFlRHhgjgPAIAwUl8vffnlNxWwXZmAtTYE69YpgQQssE/R6oCMjAxl7l7xDgAAhEf7gaHpQ5Uan9qlj52R5O0PRgVs+CDOAwAgjKxeLVVWSj17qnrQoK597N3xAhWwQIASsH/84x910003adeuXR25OwAA6EJL8r3T0qZkT+nyx85M9AbmJGDDB3EeAADh135AkyZJMTHBScBuIs4DAtKC4M4771Rubq769u2roUOHKi4ursn1ixcv7shmAQBAJ6utrdW7K991p/upn3JycvZYVKkrKmDzKqiMCBfEeQAAhE+cV/zWW+ojacegQS7OG9mFcZ5rQSApgQQsEJgE7DnnnNORuwEAgC62YsUKfbDxAylKWrttrb5e9rXSh6erv/p3WQ9Ys3nXZnk8HhZ0CgPEeQAAhE+c1/f1193pyoICrZ89W1np6VL//l2agI0tKXGLcSktrWseF4iUBOzNN9/c+SMBAACdrrq+WjujdrrT40aN06YdXVuhkJaQpihFqaq+Svnl+eqf0kU/CNBhxHkAAIQJj0e9ysrcyUFjxmhocXHXPn5CgmqTkhRnPWhzc6WDDuraxwe6ew9YU1JSoocfflg33HCDioqKGqekbd68uTPHBwAA9kPuzlw1qEFJsUlKTejaBbhMTHSMkmOS3ek1RWu6/PHRMcR5AACEvrht2xRbVSXZDKM+1oig69Wk7o4v1xDnAZ1eAfvll1/qhBNOUFpamtavX6/LL7/crZb7/PPPa+PGjXrsscc6slkAANDJckpy3HF2cnbQpv+nxaZpZ/1O5RblasaQGUEZA9qOOA8AgPCQmOON89S7txTbofTOfqtOTVXPrVu9FbAAOrcC9rrrrtMll1yir7/+WomJiY2Xn3baaZo/f35HNgkAAAJgVemqxgRssKTGeisjcosJzMMBcR4AAOEhaZU3zlN28OK8xgpYErBA5ydgFyxYoJ/85Cd7XD5gwAAVFBR0ZJMAAKC7JmBjSMCGE+I8AADCQygkYK0C1iEBC3R+AjYhIUFluxs9+1u9erV6W+k7AAAIugZPg1aXrnan+yX3C34FbBGBeTggzgMAIDwk+VoQUAELdM8E7FlnnaU//OEPqq2tdeetp5z1BPv1r3+tb33rW509RgAA0AG26FVlfaViFKOsHllBGwctCMILcR4AAGGgpEQJvsUxg5mATUvznti0SaquDto4gG6ZgL3zzjtVXl7uqiAqKyt19NFHa+TIkUpJSdGf/vSnzh8lAABoty8KvnDHWXFZio7q0Fd+p7YgKKosUnFlcdDGgbYhzgMAIAwsXeqOapKTpaSkoA2jLjFR9T16SB6PtG5d0MYBhLoOLZNnq+K+/fbb+uijj7R06VIXpB900EFuxVwAABAaluQvaUzABlNcdJyyErJUWF3oqmAPSTokqOPB3hHnAQAQBpZ447zKXr0UH8xxREWpZuBAJa1eLa1ZI40dG8zRAN0nAdvQ0KA5c+bo+eef1/r16920tGHDhik7O1sej8edBwAAwffFVm8FbK/4XsEeigb1HORNwBbl6pD+JGBDFXEeAABh4gtvnFeZlaXdTQCCpnrwYG8Clj6wQKvaNR/RAm/rC3bZZZdp8+bNmjhxoiZMmKANGzbokksu0bnnntuezQEAgAiogDUDew50x/SBDV3EeQAAhGcFbLBZBaxDAhbonApYq4iYP3++5s6dq2OPPbbJde+++67OOeccPfbYY7rooovas1kAANDJ8nfma2vFVkUrWpmxmSFRAWusAhahiTgPAIAwYYtdrVjRWAEbbNUkYIHOrYD9z3/+o9/+9rd7BOXmuOOO029+8xv9+9//bs8mAQBAABfgGpI8xPVgDTYqYEMfcR4AAGFi+XKprk51qamqtUW4gqxmkHdHOwlYoJMSsF9++aVOOeWUVq8/9dRT3WINAAAguJYUeKeljUkfo1DQWAFLAjZkEecBABBm7QdswasQ6M/eWAG7bp1UXx/s4QDhn4AtKipS3759W73erisuLu6McQEAgE6ogB2TFhoJWF8F7KayTaqsrQz2cNAC4jwAAMJsAa4xoRHn1WZnS3FxUk2NtGlTsIcDhH8Ctr6+XrGxrbeNjYmJUV1dXWeMCwAA7IdF+Yvc8bi0cQoFGfEZSk1IdafXlawL9nDQAuI8AADCxKJF31TAhoKYGGnYMO9p2hAA+78Il62Oa6vgJiQktHh9tTWCBgAAQVVcWay1xWvd6XHp47Rkg3eaWjBFRUVpRMYI1xrBFuIa33t8sIeEZojzAAAIA7Yz1FcBO368tHGjQsKIEdLq1d4E7HHHBXs0QHgnYC+++OJ93oaVcQEACK7F+Yvd8bD0YUqLT1OoGJHpTcCu3rFaS6u+6SU6fvx4xdm0NQQVcR4AAGFg1SqpslJKTlb1kCEKGZaAtRk1q1drmV/PeOI8oAMJ2EcffbQ9NwcAAEFMwB7U7yCFEquANQtzF+rT3E+VNShLhXmFulE3avLkycEeXsQjzgMAIAws9sZ5mjJFim5XV8kuScDu/OIL5axfrzFZWcopLJRuJM4D2p2ABQAA4dP/9eB+BysUE7B5u/J0wKADlD0yO9hDAgAACMv+rzo4tOI8XwI2ftMmjRkxQpNtYS4AjUJodwkAAOjUBGz/0ArMrQWBySvPC/ZQAAAAwlOIJ2AT8vKssXywRwOEHBKwAAB0I6VVpVpTtCakK2C37NqiBk9DsIcDAAAQXurrpSVLQjMBO2yYO4qpqFBMVVWwRwOEHBKwAAB0w/6vQ9KGKKtHlkLJwNSBio+JV52nThX1FcEeDgAAQHjJyZF27ZJ69pTGjFFISUqSBg50JxPKyoI9GiDk0AMWAIAwV1tbqxUrVrjTr3z9Ski2HzAx0TEalj5MOYU5Kq0rDfZwAAAAwirOy3j1VQ32LcAVE6OQY20INm1SPAlYYA8kYAEACHMWlM98fqayBmXpv5v+K0WFXvsB/z6wloAtqycwBwAAaEuclzNzpsZkZalq7tzQbD/gn4B9/30qYIEW0IIAAIBuwJKv2SOzVRbrDXhDNgG7uw9sWR2BOQAAQFtY8nVydrb6l5eHfgJWogIWaAEJWAAAuonqumqV1peGbAsCQwIWAACgAxoalFRYGBYJWCpggT2RgAUAoJvYsnOLO+6X1E+9evRSqLYgMLQgAAAAaIcdOxRTW6t6W+xq7FiFdAVsKb3+geZIwAIA0E1sKtvkjidlTlKoGpk5srEC1uPxBHs4AAAA4WGTN86rnDAhNBfg8kvAxlVWSjU1wR4NEFJIwAIA0E1s2ukNzCdmTFSoGpY+TFGKUq2nVrtqdwV7OAAAAGGVgK2YFLo72pWRobq0NO/p4uJgjwYIKSRgAQDoBqyaNBwqYBNiE9Q3qa87XVRZFOzhAAAAhIfNm93Rromhu6Pd1Awc6D1RRJwH+CMBCwBAN2A9Va2iNFrRGpsWon3BdhvY0xuYF1dRGQEAALAv0dXV0rZtYZGArR40yHuCClggdBKw8+fP15lnnqn+/fsrKipKL7744j7vM2/ePB100EFKSEjQyJEjNWfOnC4ZKwAAoWxbjTco7xXXS/Ex8Qplg3p6A3MqYLs34jwAADpHj+3b3XF1SorqeoXmQqs+VMACIZiAraio0OTJk3X//fe36fbr1q3T6aefrmOPPVZffPGFrr32Wl122WV68803Az5WAABC2daare64T3wfhbrGCthKKiO6M+I8AAA6Rw9f9Wuf0I/zqn0JWCpggSZiFUSnnnqqO7TVAw88oGHDhunOO+9058eNG6cPP/xQd999t04++eQAjhQAgPCogO0b7+2vGhYVsFVFUlywR4NAIc4DAKBz9Nzq3dG+q2/ox3k1gwd7T1ABC4RvD9hPPvlEJ5xwQpPLLCC3y1tTXV2tsrKyJgcAALqTqvoqFdYWhl0ClgpY+CPOAwCgBR5PeFbAlpZK9fXBHg4QMoJaAdteBQUF6ttsj4+dt2C7srJSSUlJe9zn1ltv1S233NKFowQAILBqa2u1YsWKxvNvfvmmGtSgnnE9lRyTrHBpQVBRW6GahppgDwchgjgPAIA947zN8+drclWVFBOjyhDv/2rqevdWQ2ysouvqFF9eLiI9IAwTsB1xww036Lrrrms8b0H8IN+qfAAAhCELymc+P1NZg7Lc+XdXvCulSQNTB7rFjkJdSlyKEqMTVdVQpZ31O4M9HIQx4jwAQHeM83JmztSYLG+c1/Dhh94r+vWTJyZGIS8qyi0WllRcrISyMhKwQDgmYLOzs7V1d+8THzufmpraYlWEsVV07QAAQHdiydfskdnudMWmCndsCdhwiXJTY1JdAra0rjTYQ0GIIM4DAMDLkq+Ts71xXnJlpfdC39T+MFBj393FxYqnNRAQnj1gp02bprlz5za57O2333aXAwAQiTwej3Zohzs9NH2owkVqbKo7LqsjMIcXcR4AAHvqvX2798SQIQqnBKxJsD6wAIJfAVteXq41a9Y0nl+3bp2++OILZWZmavDgwW5a2ebNm/XYY4+563/605/qvvvu069+9Sv98Ic/1Lvvvqunn35ar732WhCfBQAAwbOtYptqomoUoxj1S+6n7dt2B+khpL6uXjk5OY3n7XRKTIo7TQK2+yLOAwBgP5WXK3Xnzm8SsCGY0Kytr9faZnFeRoo3zqMCFgiRBOzChQt17LHHNp739fC6+OKLNWfOHOXn52vjxo2N1w8bNswF4f/7v/+re++9VwMHDtTDDz/sVsgFACASbSjd4I6zorMUEx2afcFK8ks0e+VsjSgb4c7nLshVzBDvWMvqCcy7K+I8AAD20wZvnLczLU0p1o4nBBOwa0tKVDJ7tjTCG+etz83VqOhoDSYBC4ROAvaYY45xUydbY8F5S/dZsmRJgEcGAEB4JWB7R/dWKEvvn97Ys7Ywr1B1UXXuNBWw3RdxHgAAnZOALenVS96a0tA0Ij29sWdtTmGhKsvL3ekEq97dSywARJKw6gELAAC+YcmtDSXewLxXdC+Fk55RPd1xeX25ahtqgz0cAACA0E3A9g7tHe3NVfXoIUVFKbquTrG+HrZAhCMBCwBAmCqsLFRFbYWiPdHKjMpUOElUouKi4+SRR1t2bQn2cAAAAELLrl3Stm3uZHGv8NrR7omOltLS3OmETZuCPRwgJJCABQAgTPmqX7OUpZio0Oz/2pqoqChlJGW403kVecEeDgAAQGjZ3Se9NCVFtYmJCjuZ3uKAeL9+70AkIwELAECY93/tpfCqivDJSPQmYDdVUBkBAADQUvuBHWHWfqBRhjfOowIW8CIBCwBAmPZ/XV+y3p3u7QnPwDwzyVsZQQUsAABAywnYbWHWfmCPClgSsIBDAhYAgDBUUleinTU7XeuBTIVX/1cfXwsCKmABAAC+EVNZKeXnu9Pbw70CNo8d7YAhAQsAQBjaVO1NWg5JG6JYxSocZSZSAQsAANBcyubN3hN9+qgqKUlhiQpYoInw/MUGAEA3V1tbqxUrVjSeHz9+vOLi4vZIwA7PHC4VKawrYDdXbFaDp0HRUewXBgAA3d++4rxkXwJ2xAiFrd0VsLGlpVJJiZSeHuwRAUFFAhYAgBBkQfnM52cqa1CWCvMKdaNu1OTJk911tQ212lK9xZ0ekTFChSpUOEpLSFOUolTdUK38nfkakDog2EMCAADokjgvZ+ZMjcnKUk5hoXTjN3GePB6l+KpGhw+XqqsVluLjVZuUpDhrp5CbKx18cLBHBAQVpSYAAIQoS75mj8x2x/6WFi1VnadOPeN6qm/PvgpXMdExSolJcafXFK0J9nAAAAC6jCVfJ2dnu2N/CevXK768XIqJkYYMUTirSU31nlhDnAeQgAUAIMx8su0Tdzw8Y7iioqIUzlJjvYF5bnFusIcCAAAQdCmfeOM8l3z1a0sQjqrT0rwnrAIWiHAkYAEACDOfbvu0MQEb7hoTsEUE5gAAAMmffvpN+4Ew11gBSwIWIAELAEA4KdxVqBUlKxr7v4a71BgqYAEAAJyaGiUvWBD+C3DtVk0CFmhEAhYAgDDyztp35JFHmbGZSknw9k8NZ7QgAAAA2O3jjxVTWekWr1Lf8O3z70MFLPANErAAAISR175+zR0PTByo7oAWBAAAALu95o3zdg4cKIV5n/8mFbCbNkmVlcEeDhBUJGABAAgT9Q31+u/X/3WnhySG96q4zVsQFFcVq6iyKNjDAQAACJ5XX3VHZbYAVzdQn5io+p49vWfWrQv2cICgIgELAECY+GzzZyqsLFRKXIr6xof/tDQTFx2nXgm93GmqYAEAQMRas0ZatUqe2FhvBWx3EBWlGt9zoQ0BIhwJWAAAwsSrq71VEdP7TFdMVIy6i0HJg9wxfWABAECktx8oP/BANSQkqLuoHuSN80jAItKRgAUAIMwSsEdlH6XuZGAPb2UEFbAAAECR3n5gxgx1JzUkYAGHBCwAAGFgy64t+mrbV4qOitaRfY9UdzKoJxWwAAAgckWXl0vvv98tE7DVtCAAnFjvEQAACGUfFHzgjqcPmq60+LRWb1dfV6+cnJzG83a6oaFBoWxgT29gvqZoTbCHAgAA0OVSPv1Uqq2VRo9WzV4W4Kqtr9faZnHeyBCP8xorYK3HLRDBSMACABAG5hfMd8dnjD5jr7cryS/R7JWzNaJshDufuyBX6cPT1V/9FaoGJw92xyRgAQBAJErdXf2qM/Ye560tKVHJ7NnSCG+ctz43V1np6VL/0I3zqgd74zytWyfV1UmxpKEQmWhBAABAiKtpqNHnOz53p88cfeY+b5/eP13ZI7PdIT07XaHMKnZr8mvc6fzyfH288GPVWgUIAABAJGhoUOoH3plOOnPfcd6I9HRNzs52h6GWfA1hVrG7rLhYDYmJLvm68vXXifMQsUjAAgAQ4jZWbVRtQ63GZI3RuN7j1J1Yxe4Tnz6hpOgkd/6mV27SihUrgj0sAACALtEzP1+xJSVSVpZ0ZPfq8+8qdv/xD1X36OHOb7/tNuI8RCwSsAAAhLh1Vevc8bljz1V3ZBW7vZN7e89kBXs0AAAAXSdt/XrvibPO6pbT861iNyk723s6xPvVAoFEAhYAgBBW11CnvKo8d/rccd0zAWsye2S649K60mAPBQAAoGt4PEqz3qjm3O4b5ynTG+cllBLnIXKRgAUAIIStLV6rWk+t+iT20SH9D1F3lZXkLX0tqSsJ9lAAAAC6xpYtiq+oUH1SknTiieq2rL0CCVhEOBKwAACEsJU7VrrjY/sdq+io7vu1ndXDG5hTAQsAACLGqlXuaOf06ZItVNVdkYAFSMACABCqGjwNWl242p0+rv9x6s58FbCWgPV4PMEeDgAAQJclYEuP695xni8BG19erqjKymCPBggKErAAAISo/Jp87ardpYSoBB2UdZC6s8wkb2+wGk+NimuKgz0cAACAgEooLpZ27FBDdLTKjjpK3VqPHpK1WbDnnedd2wCINN1viT0AAMJAbW2tVqxY0eSy8ePHKy4urvF87q5cdzw0aajior+5vDuKjY5VemK6SqpKtH7n7tWAAQAAummcl75mjTsuHzhQDSkp6vasCnbTJiVs2BDskQBBQQIWAIAgsKB85vMzlTXIOyWrMK9QN+pGTZ482Z2va6jTuirvqrgjkkYoElgbAkvAbignMAcAAOEd5+XMnKkxu6fe5xQWSjd+E+fJ41H62rXuZMmIyIjzSMAi0pGABQAgSCz5mj0yu8XrFuxYoKqGKvWI66EBCQMUCawNQW5xrjZUEJgDAIDwZsnXydktx3mJX3+txJISKSZGpUOHKiJkettNkYBFpKIHLAAAIeitzW+543G9xik6KjK+rrN6eKtEqIAFAADdWfqbb3pPjBqlhvh4RYTd1cAkYBGpIuMXHQAAYaSmvkZzt8x1pyf0nqBIYS0IDAlYAADQbVn7gbe8O9o1IXLivMYE7MaNwR4JEBQkYAEACDHvrH1HZbVl6hHdQ0PShyhS9OrRyx3nVeSpvqE+2MMBAADofIsXKyEvTw2xsdLo0YoYu1sQxFrrBeuJC0QYErAAAISY/yz7jzseljQsYtoPmNSEVMUoRrUNtdpYSnUEAADohv7jjfPKBg+WIqX9gImPV03Pnt7TX38d7NEAXS5yftUBABAGdlbv1PMrn3enR/UYpUhiyebU2FR3euWOlcEeDgAAQOeqq5Mef9ydLB45UpGmOi3Ne2IlcR4iDwlYAABCyLMrntWu2l0akjxEfeL6KNJkxGW445XbCcwBAEA3Y71ft25VXUaGdloFbISpzvDGeSRgEYlIwAIAEEL+ufSf7viswWcpKipKkSYj1huYr9i+IthDAQAA6Fz/9MZ5xaecIk9MjCJNlS8Bu4I4D5GHBCwAACFic8Vmvb/hfUUpSmcMOkORyFcBu2IHgTkAAOg+YsrKpJdecqeLzzpLkYgELCIZCVgAAELEK3mvuOPjhx+vvkl9FYn8K2A9Hk+whwMAANAp0qz9QHW1NHGiKseOVUQnYNetkyoqgj0coEuRgAUAIARYsvHVja+60xdPvliRKi02TTFRMSqrLtPmnZuDPRwAAIBOkfnyy94TF18sRWCbKVOflKRaXxJ21apgDweIvATs/fffr6FDhyoxMVGHHXaYPv/881ZvO2fOHNcTz/9g9wMAIJzlVedp065NSk1I1bljz1WksuTr4J7eRSnoA9s9EOcBACJd4o4d6vnll1JsrHThhYpk1cOHe0/QhgARJugJ2KeeekrXXXedbr75Zi1evFiTJ0/WySefrG3btrV6n9TUVOXn5zceNmzY0KVjBgCgsy0vX+6OL51yqXrG91QkG57iDcxJwIY/4jwAAKRey5Z5T3z721J2tiJZFQlYRKjYYA/grrvu0uWXX65LL73UnX/ggQf02muv6ZFHHtFvfvObFu9j1RDZEf6fFgAg9NXW1mpFs+By/PjxiouLa3JZUWWRNlZvdKevPPRKRboRqSM0N38uCdhugDgPABDpcZ527VLGmjXe01dfrUhXNWKE9wQJWESYoCZga2pqtGjRIt1www2Nl0VHR+uEE07QJ5980ur9ysvLNWTIEDU0NOiggw7S//t//08TJkzoolEDANA2FpTPfH6msgZlufOFeYW6UTe6KkB/n2/2Tsme3ne6RmWNUqTzVcAu3+6tCkZ4Is4DAHT3OC9n5kyNyfLGeTmFhdKNe8Z5WrxY0fX12jVunHpMm6ZI15iAXU6ch8gS1ATsjh07VF9fr759m670bOdXtdKQecyYMa5qYtKkSSotLdUdd9yhI444QsuXL9fAgQP3uH11dbU7+JSVlQXgmQAAIkWbqx12s+Rr9sjWq/lq6mv0RcEX7vQFwy/o5NGGfwsCW5zMKiIRfojzAADdPc6z5Ovkvc3aaGiQFixwJ3d873saTEzzTQ/YtWulykopKSnYQwIiowVBe02bNs0dfCwoHzdunB588EH98Y9/3OP2t956q2655ZYuHiUAINKrWttqScESVddXKy0mTUf0OaKTRxuehiQPUXRUtEqqSlRQXqB+Kf2CPSR0EeI8AEBYVLW21cqVtndQdYmJKjnlFHmXGY1sdZmZkh2KiqScHGnKlGAPCej+i3D16tVLMTEx2rp1a5PL7Xxbe3/ZnqgDDzxQa3w9VZqxaW9WQeE75OXldcrYAQCRy1fVagdfIrYjahtq9eHGD93pSSmTXNIRUkJMgkZmjnSn6QMbvojzAADhyFfVagdfIrZDrPp13jx3cseECfIkJHTeIMOZVQH7WgvRBxYRJKi/9OLj43XwwQdr7ty5jZdZvy8771/9sDc2te2rr75Sv34tV8ckJCS41XT9DwAAhIIVFStUXlOu9MR0jekxptXb1dfVKycnR0uXLnUHO23fl93Z+N7j3TEJ2PBFnAcAiGTptvNwxw4pMVHbJ05s9Xa19XvGefXdPM7TeG+cRwIWkSToLQiuu+46XXzxxTrkkEM0depU3XPPPaqoqGhcLfeiiy7SgAED3BQz84c//EGHH364Ro4cqZKSEt1+++3asGGDLrvssiA/EwAA2q6itkJflHt7vx495GjFlMe0etuS/BLNXjlbI8q8ixbkLshV+vB09Vd/dVfje43Xi3pRy7YtC/ZQsB+I8wAAEam2VtmLFnlPT5+uhr1Uv64tKVHJ7NnS7sWp1ufmKis9Xerfv/snYJcR5yFyBD0Be/7552v79u266aabVFBQoClTpuiNN95oXLBh48aNbsVcn+LiYl1++eXuthkZGa6y4uOPP3aNsQEACBdPrH1CVQ1VykrK0qS+k7StfNteb5/eP71xMS/rO9vdTezrrRRZunVpsIeC/UCcBwCIRJmvvKIEWxiyZ09p6lRvv9O9GJGe3riYl+s72935KoKXEuchcgQ9AWuuuuoqd2jJvN09U3zuvvtudwAAIFytL1mvR1Y/4k4fPfRoer+24MDsA93xl1u/VH1DvWKiW68QRmgjzgMARJQdO5R9333e09OnW0+eYI8o9PgW3lq/3va+ShkZwR4REHD84gMAoAt5PB5d/srlqqyvVHZ8tg7ofUCwhxSSRmWNUnJ8sirrKpVTmBPs4QAAALTNtdcqrqhIlZZUPPTQYI8mNNlrM2yY9/QX3pZcQHdHAhYAgC704oYX9c7ad5QQnaBjMo5RlK0Eiz1YVfDkvpPd6cX5i4M9HAAAgH1Kff996d//lic6WnnHHCPFhsSk49B0oHe2kxYT5yEykIAFAKCLlNWV6c5ld7rTV467UmmxacEeUli0IViSvyTYQwEAANirmMpKDZw5053e/oMfqLJPn2APKTwSsEuI8xAZSMACANAFquqq9EbhGyqvK9fhAw/XhSMvDPaQQt6B/XYnYAsIzAEAQAirq9OwN99U3Pbt0ujRKrjiimCPKPQddJD3mAQsIgQJWAAAAswWkXpm+TMqritWn8Q+evY7zyomikWl9uWgfgc1JmCtdy4AAEDIsRjlpZfUc+tW1aWkuNOexMRgjyp8KmBXrZJ27Qr2aICAIwELAEAA1Xvq9VLOS1pbslaxUbH66+F/1YDUAcEeVlgY33u84qLjVFJVovUl64M9HAAAgD2Tr2++KS1b5vq+rr/rLmns2GCPKjz06ydlZ0sNDdKXXwZ7NEDAkYAFACBAquur9XbR2/pq21duUanjM47X2HSC8raKj4nXAX0OcKdpQwAAAEJKXZ0GzZsnffaZO5s3Y4YqDj002KMKL/SBRQQhAQsAQAAUVxbryk+u1IaqDYqNjtX5E87X0KShwR5W2GEhLgAAEHIqKjT0l79U5urVUlSUdM45Kh4zJtijCj8kYBFBSMACANDJVheu1uH/OFwLdyxUXFScLpx4oUZnjQ72sMK6D+zigsXBHgoAAIC0ebM0Y4bS3ntPDdHR0ne/K02eHOxRhfdCXIuJ89D9xQZ7AAAAdCdz187Vt5/5tutb2i+pn6anTNfQdCpfO+rAflTAAgCAELFwoXTWWVJ+vuoyMrT+qKM0kp6v+18B+9VXUm2tFBcX7BEBAUMFLAAAneTBhQ/q5MdPdsnXaQOn6fGjH1dWXFab7ltfV6+cnBwtXbrUHex0gy1KEOEm953s+ufml+drU9mmYA8HAABEqqeflo46yiVfNWGCvn78cVXYQlJtUFu/Z5xXT5wnDRsmpadLNTXeJCzQjVEBCwDAfmrwNOh/3/hf3fPZPe68tRx4+KyHlbM8p83bKMkv0eyVszWibIQ7n7sgV+nD09Vf/RXJesb3dElYW4Tro40f6fwDzg/2kAAAQCTxeKQ//Um68Ubv+dNOk/7zH9WsW9fmTawtKVHJ7NnSCG+ctz43V1mWeOwf2XGe6587bZr0+uvShx9+05IA6IaogAUAYD/Ue+r120W/bUy+XjXuKl0//HqXfG1vFWt6/3Rlj8x2h/Ts9ACOOrwcNfgod/zhxg+DPRQAABBJPB71/8tfGpOv237wAy394x+1dN26dlexjkhP1+TsbHcYaslXeFlVsbEELNCNUQELAEAH1dbX6q3Ct7SxeqNio2P1hwP/oMULFuuBsgfc9VSxdo4jBx+pv37+V32w8YNgDwUAAESKhgYNeu89ZX79tTu7+de/1ke5uRrz0EPuPFWsneTII73HH3zgrTa2qligGyIBCwBAB9Q11OnpFU+75GtiTKKeO/85Ddg1QBsKNrgKVlOYVxjsYXabBKz5cuuXKq0qVVpiWrCHBAAAujNLBL70kku+emJiFPXPf2rHAQdozKxZroLV5BQS53WKQw+V4uOlggJp7drGNg1Ad0MLAgAAOtDz9fmVz2tN0RrFRsXqvmn36bRRpwV7WN1Wv5R+GpExQh559MmmT4I9HAAA0N2Tr6+9Jn35pTxRUVp/++3ShRcGe1TdV2KiNwlraEOAbowELAAA7eDxeDS/ZL5W7lipmKgYnZx5sg7pdUiwh9Vt1dbWutWCxyePd+fnrZsX7CEBAIBuLPvzz6VFi9zpjccdp7Ljjgv2kLp9nLdt9Gh3vuH994M9JCBgaEEAAEA7zFkzRzm7chSlKH1n/HeUVsJ0+M5UX1fvFrXwsdNPffWUSnuVuvPv5LwjnRjEAQIAgG4r46WX1PeLL7xnzjpLJf36BXtI3Uptfb3WNovzGp56Sim7dqmPpJr33lNiUEcIBA4JWAAA2ujlnJf11+V/dadPGXmKxvQao4KSgmAPq1spyS/R7JWzNaJsRJOFzCaOmqj5C+ZrWfEyVddVKyE2IdhDBQAA3cmHH2rgH//oPX3UUdKBB3r7kqLTrC0pUcns2Y19Xm0hs4PT0zV80iTpjTeUuH69tH271Lt3sIcKdDpaEAAA0Aa2ANT3n/u+60M6vud4TR0wNdhD6rbS+6e7hczskJ6d7i7LSspSYnSiqhuqtSjfOy0QAACgU1ji79xzFV1Xp5Jhw6Rjjw32iLqtEenpbiEzOwxN98Z5SkpSZWam9zR9YNFNkYAFAGAftpZv1Zn/OVMVtRU6rPdhOiLtiP2aXm+9rtyUq4aGTh9rdxUVFaXseO+qw/PW0wcWAAB0kp07pTPPlHbs0K6xY5VnydeoqA5Nr/eP8+qJ89qlItsb52kecR66JxKwAADsRVVdlc57+jxtLN2oUZmjdPuht7vFtzo8vf6j2Zq1YJZmz52t4uLiTh9vdzYwYaA7fu3r14I9FAAA0B3U10vf/760bJmUna31996rhri4/ZteP2uW1s8mzmuvnQO9cZ5ee81WvQ32cIBORwIWAIBWeDwe/fiVH+vjvI+VnpiuVy54RanxqZ0yvd43tR5tNyRxiDv+JO8T7di1I9jDAQAA4e6GG6RXX5USE6WXXlJt376dMr2+cWo92qx84EBv8js311bnCvZwgE5HAhYAgFbc9tFt+teX/3IVr8985xm36FZztBXoOsmxyRqdOtr14f3v1/8N9nAAAEA4mzNHuv127+lHH5Wm7tnfn7YCXceSr+WHHuo988orwR4O0OlIwAIA0IIXV72o3879rTv9y4m/VO+dvVtMstJWoGsdnX20O3519avBHgoAAAhXttDTj3/sThb8+MdaOm5ci0lW2gp0rbIZM7wnrCoZ6GZigz0AAABCjU1xv/D5C12l5XeHfVdrvlijWYWz3HW5C3KVPjxd/dV/j7YChXmFQRx1ZJiRPUOzV8/WG2veUE19jeJj4oM9JAAAEE5WrJDOPluqrVXJCSdofmGhxszyxnnrc3OVZe0D+vffo61ATiFxXqCVHXWU9Oc/Sx99JBUVSZmZwR4S0GlIwAIAuoXa2lqtsIDaz/jx4xXXzoUUvtr6lU574jTtqt2lk0ecrF9O+KUernnYJVgNSdbgmpAxQX179tXWiq2av2G+Thh+QrCHBAAAwiTO0/r10oknepN7U6dq4x//qDFz5rgEqyHJGly1AwZIBxzgXRTt9delCy8M9pCATkMLAgBAt2BB+cznZ7pWAHaw080D9X3J2ZGjkx4/SSVVJTpi0BF67rvPKS66YyvhIjCio6J1+qjT3WnaEAAAEBkspsuZOdO1ArCDnW5vnKdNm7zJ1y1bLHsr/fe/8iQlBWrI6Kgzz/Qe04YA3QwJWABAt5E1KMtVqtrBTrfHx3kf64hHjlBBeYEm9pmoVy94VT3jewZsrOi4M0af0dint8HDYhgAAESCMVlZrlLVDna6Xb76Sjr8cGnNGmnoUOmtt6T2bgNd4wxvnGcJclVWBns0QKchAQsAiGgej0f/+eo/Ov6x41VUWaSpA6bqnYveUUZSRrCHhmbq67wrEffb1U/JscnaULpBb3/9drCHBQAAQplNZT/ySGnzZmncOGnePMmmuiOk1NZ747yliYmq6ddPKitT3TPPBHtYQKchAQsAiFj5O/P1rae/pe8//31V1VXpzNFn6t2L3lWfnn2CPTS0oCS/RLM/mq05S+ZocMJgd9k9H9wT7GEBAIBQZH1eL71UOu00l8yTLfD04YfSkCHBHhlasLakRCWzZ0sPPaSi3YugVd53X7CHBXQaErAAgIizZPMSfe+x72nUX0fphVUvKCYqRj8a+SPdPPZmrVm5RkuXLnWLPSD0pPdPdy0mpo+Z7s6/u+VdV7kMAABgaleu1LaLL1bd8OHSnDnyREVp6/nn68s77tDSvDzivBA2Ij3dtZjIPuooeSSlLFgg5eYGe1hAp4jtnM0AABAa6hrqVLirUBurNuq/ef/VRzUfuUW17LC6cLUW5S/SprJNjbfvHddbwzcP14bCDZpdOdtdtn39dp0/6XyNGTPGTYVqaKDPaKjpl9xPWXFZKqwt1L+//LeuPuzqYA8JAAAEWn29q2xN2bhRMdZa4JNPpJIS78H6uy5apLj16+Wby1SVnq5nR47UrsJCHfbII+6y5du3K+f8b+K8kcR5oSctTTsHDlSqLZxm79uf/hTsEQH7jQQsACDse7haUnXW8ll6YesLKtlcIo/bZy69Xvh6i/exilebwn7k6CM1LH2YVsxbIfWQq6w0hXmFbqr7iLIRyl2Qq/Th6eov71QohIaoqCiN7TFWH5V+pNmLZ+uqqVe5ywAAQDezbJn6PvCAUp97zttWoKFBw+1yS8C2wCpeXfJu+nQljhql+JUr1U9ylZUmp7DQO9V9xAitz81VVnq6tHvKO0JH0bhx3gTso49Kt9wixZK+QnjjEwwACNtK1ye/fFIz581UTmlOk+sSYhKUEp2iEekjNLDXQKUlpCk9MV2D0gbp4H4HK2Z7jB774jFlZ3gD8b1NdbdkLELTqB6jtHDnQn217St9uulTTRs0LdhDAgAAnaGhQXUvvaTqW25Rz6VL1SRii49XZUqKazGQMnCgZAlUXxL14IO1LDZWDf/+d2PCdW9T3S0Zi9BUNmSI6jIyFJufL73yinTuucEeErBfSMACALqU9dxasWJFk8vGjx+vuLi4Nt2/srZS/1z6T93+8e1aW7zWXRYbFavMXZkaljpM0w+eruT4ZG3J2aITM09008uaP87SkqWd/KwQDAnRCTp14Kl6ceOLunnezXrrB28Fe0gAAES0/Y3zZL1Z//Mf6bbbFLtihUtYNERHa21mpqqHDtWEI4+UUlO1fMsWrT2x5TivYSlxXnfgiYlR4bnnqq+1IPj976Wzz5aiWcYI4YsELACgS1lQPvP5mcoalOXOW4XpjbpRkydP3uv9tlVs0/2f3a/7P79fhdXeaoWUmBSNThqt4ycdr7UfrpVipJSEFHddSX6JZq/0thEw9HXtni4fc7le2/Sa3l77tt5b956OHXZssIcEAEBEx3k5M2dqTJY3znMVpjfuO86zHq71Dz6o+nvvVbxVPEqqSUpS0ejRyj7+eC3euFG2xQlpae66tSUljW0EDH1du6ftF1+svs8+K335pfT009L3vhfsIQEdRgIWANDlLPnq67e6t8qJ2oZabUrYpGdXPatnVjyjmvoad3lyTLImJ09W/Kp4ZQ3LUlJc0l7bCBj6unY/9XX1Kt9UrvOGnKen1j2la1+9Vgt+skDx8fHBHhoAABHLkq+tTf9vUiFbV6cJ27cr1hJsTz6pmIoK25eu2qQkbZ80SU8nJWlir17KTvHuXG+tjYChr2v3U1tfr5yCAmX9z/+o39//rupf/1rRZ5+tuKSW434g1JGABQCEzPQz6+v6/MfP68/v/lklPUq0uXKzaqNqG68fmThSgxIHafrE6YqJjtHy4uXtGhd9XbsXX5Vz9vhs14biy6Iv9eB7D+rqk68O9tAAAOi2OtxmoL5euS+/rNr/9/80orRUSXl5iq3x7lw3JYMGqXToUA2ZMUP9Y2PVf3n74jz6unYvvirnHYMGqXdiohI2blTebbdpkLUjAMIQCVgAiGD706er+X3979eWNgMej0fFVcXK3ZWrO7+6U+sWr9OiLYtUWVcpWXunKlvqXopviNfolNFuwaWdS3e6ylVLvgK+pPqIMSM0NW6qPs77WPetuE9XnnSloqPoEQYAiGyBjPP22WbA45FKS5W2dq163HuvtH69tHChxu7c2eRxquLiVDFypIpHjtTzu3bp4IwMDWG1e/gl1ScOHizNmCG99Zb6PvigdMMNUkJCsIcGtBv/swFABGtPP9bmgbj113rqq6fUe0jvFu9n2+w1vJcqaipUX1Ov+QXz9UntJ3pvxXt6f/v7Ki4obmwpoOJvHic5NlnpMeka03+MGnIblJmUqQMOOcBdt3xr+yohEDmmD5qudVvX6erxVyvKMvcAAES49vRjbSnOa3jqKY3r3bvF+7k2A717SxUVSrI2Ah98IH3+ufq/956S5s2Tioqk6moNbfY49UlJqkxPV/Lo0Xo3KkrKzNRxEye6/q5D21nxighyyCHauWyZCq+5RkPbuqAbEGJIwAJAhK8269+P1XpqWsDd0nZ8ydqMgRmqbKjU6i9XK25AnOqT65Wfnq+/fPkXNaxpUEF5gTYWbtTm8s2q3lzduK0Xtr+wx2PHRscqIyZDxw48VqdPPl1TB0xV5aZKPbjwQWUPztby3OWuChbYlx5xPXRW77N0VPZRirIfdAAAdAP7G+f592N1PTX3Eue5ZG1GhmKrqlSxerWmxMVpckODeufnK+6OOyRb2KqgQKM3bFDc5s1SlU1XkkbbP88/70739n/w6GhVZmRo19FHK+u006SpU7WstlZ66CE3ph3Ll7vEK7BPcXFae+aZ0sknu88VEI5IwAJAiNjbVK/9qWJtabueaI/Kqsu0qWKTdtTsUHVJtarrq5Wbn6sP136otM1pKi0t1ZSlUxSTHKOtFVu1fsd6bYrdpKot3mBbfWzjViLhPft52ectjs+mgidFJ2lIyhAN6z1MvTy9lFeYp7EjxiqrR5a25W7TFZOvaBzv0s1L9+NVBAAA6F5x3t6qWFvcrp3YuVPxmzcr2m5fXe0Otbm56vfhh+qdlqaS0lKVHHigett0/61bNXr9eo3Py1OcJVU9Hk3wG4NbyuqzzxrPN1kCKSrKLZpVO3iwegwdqu1ZWarcvFmDx4yRevfW6u3bpSuuUJavenYpcR6AyEQCFgBChH8idW+tAJqzXqo9+/eUp69HpdWlyi/P1/0r7lf85njXY3XDtg1aWbBSDXENqqytlOdlj2oavlnwwNm++9h2KPeUVObtv7pq3aoWH9OmeCd4EpQYnais9CzFVMdo+oDpmjhsorKTs1W+tVzvfP2Oho4cqsTYRG3J2aITM0/UmDFjXOXFO4nvqHfPJjUSAAAA3ZZ/InVvrQD24PFoXHKyJtrsjtJSZeXnK/bvf5fi46WSElVu2KABK1Youb5enqoquS75uytTxzXb1LTmSdVV38R5zdeVr0pIUG1iolKyslQUE6O6I45Qn4kTpexs5ZaXq27uXI0ZMkTq0UNLt2zR2hO/ifNGvvOOBu+uugUAhFAC9v7779ftt9+ugoIC9yX0t7/9TVOnTm319s8884x+97vfaf369Ro1apRuu+02nWZTGgAgBKZ67Q9fO4B6T72Kq4uVW5TrkqqF5YVatmaZSmtKVVBZoK2VW7Uzeqc27dykDSUbVFVfJRV8s52PSj9qumGbkV23+7jhm4uTYpIU5YlSUkKSEmITVFdWp9iYWPXu3Vv15fU6fMDhGjNkjPr27KuKbRWau2auho4YqqS4JK2ct1JKkCZMmqCCNQW6YoJfFWvDUi1av8jdzn+1+hFlI5S7INctpNXfG/oD6OaI8wCEkmDGeY3tABoaFFNSIq1d65KqdYWFylu2TDGlpYrfulVxBQXKqKhQ9KZNOmDDBsVUVDRuY6D989E3cV7qXh6vPjFRDdHRiktKcosWba2tVVRcnPr07q0ddXWqP/xw9R09WurbV2t37VKtJVWHDnVJ1ZdXrnTtAY6fMEF5BQWuirXP7jiv3KpYlyyRevZsslq9RozQ+txcZaWnS/2J8wAgpBKwTz31lK677jo98MADOuyww3TPPffo5JNPdnvO+vSx+a1Nffzxx7rgggt066236owzztATTzyhc845R4sXL9YBB3gXaQGAtgTb48aNk5UJVNdVu8WgbAq+HS9dtlT3v32/UvqmeBOh24p1wbYLNHrkaMXHxCsuOs57HBPnkpkb1250vUztcjNs5DB5ojxuWxXVFVq2epl21u5UWU2Zknslu+OSqhJXnWrHlmAtrSrV9rLt2rZrm2rya1TXUKeHtzzcrufYM66n0hLTFF8TrzE9xmhw78FKjU9VRWGFcqty1X9wf1XkV+iHU36oaQdOU3J8spZ/tVyzFsxq7AG7/L3lUrw0YezupOp4v6Tq0qX6YsMX6hnvDbY7slq9PY5V9wKIDMR5AIKWVB03zjsVv6bGOwV/9/GaL79U/n33aXhKiqLq67WpuFgbL7hAIywRaUlYqyzdfWydltZs2CBPXJw8sbHyREVpzPDhivN43PZqKyq0fvlyxZSVKWbnTg3s2dMdq7jYVae6Q2mpO4zZtk0xW7faYDXZ+qBawtLvR/mwVp6bq2g1PXpIaWkqjo9X4ZgxShk8WPWpqdpcUaGs3FwN799fORUVavjhDzXu8MOl1FQts0WtZs1q7AH7/u6eq5ZU3bw7qdp3d5y305KqdkhO7vBq9fY4rroXABB6Cdi77rpLl19+uS699FJ33gL01157TY888oh+85vf7HH7e++9V6eccop++ctfuvN//OMf9fbbb+u+++5z9w22J5Y+oUVfL3KnfYuAZGdnu4oyd9nu1WTsOv/Tza/znd/bdW3ZTqAfw8cjzzenLSAJ48s7c1v19fXKz89vclm/7H6KiYlp7I3pO9hr23haUXu9rsHT4LZpx80PNpaWLvfdp7auVvkF+U2er31GY6Ibw7s2qW+od9VMrW1nX8+rtcst4WmJy9r6WtU21LZ42o7tUFVbpa2FW1XrqW28TUKPBDe93j+hagnW8spyFe8qdr1PG9TgEpyeF5u+701EN52WP//j+dLH6nK+pGqiElVeVa60lDSlJKQopjxGZ446U9MPmK7yLeV6ecXLGjhqYGMS1SpOo3tEq7yiXLmLvBWnQ9OHqmBHgfr36K/0xPROHWfzxbvcyrm2UEOA7wsgtHW3OK/uxRe1zVb6tu97vzgvxnooGt8CcP7HLV3Wntvs7/335zF8/OKcsDndBY/hi/P8L+vX75s4zy0UYwd7PX2n93XeTtv27Huw+aG1y/2uq6+tVYGNyY/7jPrG1Eb23FqM8/b23Npyur7eJSDdwRKi/sfNLquvrFTptm2KqqlRVF2domprlRIfr2i73i+hascN5eUaXVTkEq6WVLXHiWkllhjXbGr+KPtn/vwWbxvXwjT+5te7+7dBYksXWmVqerqqEhNVX1GhnqmpUkqKCqKjVXvmmRp0xBFaVVGhmlde0aRBg9xd3l6+XCUlJTrM3ouKCr2Xm6uD09M1fNgwVdl7NmCAlJmpzmSLd61tFquNbGOstj/3BYDuJKgJ2JqaGi1atEg33HBD42XR0dE64YQT9Mknn7R4H7vcKin8WSXFiy++2OLtq6ur3cHHFpUxZWXW4LDz3fH2HVpSuCQg2wYQWJYAtirWGE+MS9DajpMYxchT71F6Qrpi42Pd5ZborfPUuSS0JXerG6pdctuXaI9WtKuOtW1FN0S75LBNxY+qjdLQlKHql9FPybHJSolLUXJcsvcQk6zircX6dOOn6tW3lyq2Vui8Medp3Ghv2P/111/rxVUvKjMlU6qWirYVaVDmICVsSdDGrzdqR+4ONVR5g9kdG3e41gA1ld4+r3U1ddqxboc29tioos1FWhK7ROXl5Y3btUpX3219923vbdctXqfFJYvVb1g/d11+Tr5SB6Wqrrpuj9v6nzZ7u2/z2+7tPLfltvaZLR9XHrDveN92/Xe6IbLivOL77lPG3LlNLvtmYjAiUfPp36HweUjppDF11nY688eqNyJpnVWstsZ2mnji41UXHa2G+npFW0VrTIyqrXghPV2JsbEu0au6Om+S13qqWvLX+qp6PIre/X+/Tel3FbFxcW5blvSOTkxUeXS0aoYMUVJ2tupTUtyhITlZ9T17qj45WRtLSlT76aca2Lu3vrYeqt/6lkbYbKzdMZZefFGjdidOvy4qkoYM0agePfT15s1SYaF27n78VTt2KM1eC0tAW6/Wujot27FDiRs3eu+3pGnspoKCxtv67tve285dt05FixeruJ83VluYn6/81FRV2uvV7Lb+p83e7tv8tns7z225rX1mR5UT5yGMeYJo8+bN9sn2fPzxx00u/+Uvf+mZOnVqi/eJi4vzPPHEE00uu//++z19+vRp8fY333yzewwOHDhw4MCBA4fOOOTl5XViNNR9Eedx4MCBAwcOHMLtQJyHQAl6C4JAs6oL/0oKm9ZaVFSkrKysxun0nb3XZNCgQcrLy1OqTSFByOK9Cg+8T+GB9yk88D7tH6uI2Llzp/qzsEjIIM5Da3ivwgPvU3jgfQoPvE/7hzgPgRbUBGyvXr1cH6Gt1ozcj523HkMtscvbc/uEhAR38JduqzIGmP2Hx3964YH3KjzwPoUH3qfwwPvUcWlpNhkObUGch1DAexUeeJ/CA+9TeOB96jjiPASSLTMTNPHx8Tr44IM116+XllUu2Plp06a1eB+73P/2xhZnaO32AAAA6HrEeQAAAIBX0FsQ2LSxiy++WIcccoimTp2qe+65RxUVFY2r5V500UUaMGCAbr31Vnf+mmuu0dFHH60777xTp59+up588kktXLhQDz30UJCfCQAAAPwR5wEAAAAhkIA9//zztX37dt10000qKCjQlClT9MYbb6hv377u+o0bN7oVc32OOOIIPfHEE7rxxhv129/+VqNGjXIr4x5wwAEKBTYN7uabb95jOhxCD+9VeOB9Cg+8T+GB9wldjTgPwcJ7FR54n8ID71N44H0CQluUrcQV7EEAAAAAAAAAQHcU1B6wAAAAAAAAANCdkYAFAAAAAAAAgAAhAQsAAAAAAAAAAUICFgAAAAAAAAAChARsJ7v//vs1dOhQJSYm6rDDDtPnn38e7CGhmfnz5+vMM89U//79FRUV5VZXRmi59dZbdeihhyolJUV9+vTROeeco5ycnGAPCy2YNWuWJk2apNTUVHeYNm2aXn/99WAPC/vw5z//2f3/d+211wZ7KEBYIc4LfcR5oY84L3wQ54Un4jwgNJGA7URPPfWUrrvuOt18881avHixJk+erJNPPlnbtm0L9tDgp6Kiwr039iMKoen999/XlVdeqU8//VRvv/22amtrddJJJ7n3DqFl4MCBLshbtGiRFi5cqOOOO05nn322li9fHuyhoRULFizQgw8+6H5QAWg74rzwQJwX+ojzwgdxXvghzgNCV5TH4/EEexDdhVVC2N7c++67z51vaGjQoEGDdPXVV+s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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_t = numeric_train[nan_columns[19]]\n",
    "\n",
    "test_density_fillna(x_t, [\n",
    "    lambda: 0,\n",
    "    lambda: x_t.mean(),\n",
    "    lambda: x_t.median()\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule[nan_columns[19]] = x_t.median()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_t = numeric_train[nan_columns[20]]\n",
    "\n",
    "test_density_fillna(x_t, [\n",
    "    lambda: 0,\n",
    "    lambda: x_t.mean(),\n",
    "    lambda: x_t.median()\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule[nan_columns[20]] = x_t.median()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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nadypB1B1BklXOuNLZ1/oAVqN4TRJqvGiXXSgM3s0Ealxmh481+KH4OfRA9hahakHsDXO01hBD5Z2ba+lyVaNiTQe0dNACjP6QxeB1QPPWmyhBxz1siaTNb7Qg7U90bHq3057rF1prKTvUeM5PRitz6tJTk1+OkWLLPSAqf0dRCuStRpWixuCD6SiZ1TAAgCimlbk6dH0/iZgNYGnQZMGcprk6S7xF/y8mnzVKjm7J6hWwio9Ah5K1ym8mrzpusCBBpOqPz079XW1l2h371l7rgbrrs1Bd++7v7SyVZOJWvnYtQWCJvQ0MafViDpVWwNJ3Q79qUrQ9gEa6GkiVT9vre7UZJ4G811p0kwDe73fhAkTTKCoiclQlaCaPO9LH1pNIgdva60u1iSwVlcoO7EbquJPk/XBfXU1IXzDDTeY6oGun1OopLJOO9PqP62QDJXQ02SUflHR4Hfnzp2d7mM/nyYL7epBmwb+wYk/3V46NbDrPhtq39PX6K7SwU6SdaVJce2LrNXJmnwL1t3202Ssvk7X3w17amBPn52OU99/18pSW9dtr19yuibog3839QuSJp61ekf3O11cIfggxkAPMOgXRDuh3JX+TvX2BVJ/Hup3yT5QYD++6xT/nl6nr89p0/1ID/7Y+6tWLWl1sm57vR5Mfyf1ZCdjdUaBPlb3cft5tcez7tf6xc5eBEwrnfXfAD0AMJDe0QCA8Fa/6uwvjXn03/NgWsCgLX16oslUXZtAYzZdmDP4IODGjRs79SRXdmuhYHpQtLcYRuOC4L8h3R0o1epajQk0Sax/o0KtpaCtoTTZGupvks5Ss2OIUDQW7GmsGsNo1et7771nDh7bM4U0CarbyabVxsEVsaFaT+nf2uCD2/r3VWPxYFq5++tf/9rEgTqbS2eT2W3PbJoA1rin6/vSeIFZKX1HAhYAENU00NOkpiZh+0On/WvQon0cuy6AFJygtBe+0qBNj0DrVBud3qzTke2ASHtRhTqC3d8x9ZW+rlb2/fznPw/5867BkQauXYNfe9rT/tLAUNseaEJUk3qhPProo6ayQSs5g2mVQ19oJaO2MdDPQ09aBaFJME222tWjNu0d+tOf/tQk/DQhrJ+fVl5olWJXWtloJ4N6opV/Wt2namtrzX6g/bM0Ia/Vev2pstD7a38z3e80ANbAXT9P3a9C9bbUhZw08ayP06Rv1yoD7bWmt+l4NDGt20q/NOh2sJ9PDyToSqzB9EtDcI9O/T0KtY260ufU59cxhVqwK9QXEU0w6vR8ndYf6gtJf6tU7IrUUL9zwePUBGBwNXSwgVTM6wEbfR86jVJ7Eev+rv+G6LYfaF9S3Yf0C40mhIOTxbrN9N8lrczt7fGaeO/KbjlgP96e3mjf3vW+wa/T1+fsjn4h1OfQbd81AduVts/QFhNaPWX/+6D78DPPPGO+aGry207a6vPq59a1hx8AwDk6DV1niwQv5tjfv/GasNT2Nvq3VP/d1xi7v3TGRNdYpyudTRQ8Y0X/1oXqV64zL/S+OhZtMaBrHGjrpWA608NuI9ZVqDY+tuLiYvM3vqex6vPq3z39+6h/c3W7aOK16wFbja+D+82Hei/aHsE+SKo0Hu9KY1KtMtaCA43p9fXtWCv4/WrcpwnyrvEfB0b7jgQsACBq6VFXPbIe3GS/LzTI0yPnWjmoAVZ3CVhNvAUHLWeeeaZJuui0I63S0oospYmT4Pt1RwMoDRCDk1D2NCV75fC+0NfVQKgvr6m0irDrffua/OyNBqS6De1q0FB0WpYGkTplSacoa9JUAzzt89gXWokQXDmsR+Y14Ne+txoIBie69fPRvqia/NEgU18j1OICWhWrfUM18dkbDTSDt58+v76O9jHVxKgdRGsSs2s1tCZQ7c9Wp/nrohJaAauVDTa7kjoUbTug2033Va3s1UpAuy+a0uparTrR6drBlYrBC0hoojJ4MSml0wCDk+hanRrcN7enfU8rRvQ991TdEUyT5Zpg1AUyQgnefsGfs/6+6LbR/SeYTsHTJHBPCWMdp7b10AqOvnz5031B31dwFWzX303d1tpvTvu9BtNtHdy/uT/sKpTVq1ebaZg2va7vv2uVSqjHazJdq8SDq2m0aib4+fWLm/6e6PPqPmvTL3P6b2jwbX19zp7oPhiqorsru51AqPtqOxO7pYluY/1d12mZAIDIoAcQNTmpB4M1VgtF+5jasU8o+ndIYxttNaN/1zXhqdWW9kFJTTBqLKexjk2va6Vm8N+cVatW9dr3Xg+a6oyX3golNC7Rg316Xy1gWLly5T730bUadFacxgj9Kbh4/fXXTVzSdVFMm34n0XjIjpuVFn6EojOyens/GgMG3ydUTKQxjH0fLajQGFoPggbTWMw+YDyQhXQRQA9YAEDU0qnMmoQNTkj1hQaBWknZl4RT1yBRFwCyp+dqxZYmKLQyruuq6qrrtG+lyVubJnz0uk7b7s970GSJBoPab6srTVTYixSFm1YG6Mq0mljrKcmliRwNijWBrVOcNJnZU3VAb3Sb60Jm2oYhOPFo09fSJJ0e0dfkqVaDdqUVdpr86a59RE/sKWt2BYAGpRrg3nXXXZ2mbmsFhSa87CpA+/5dp7x1t/qssoNcrfrVCkBNOgf3wNTn7Pp8S5cu7TQ93j6QEHzS/sFKk3xaSW33de2N9iTT19Tfoa6vq9e7HszQimFNmGtVcncVq7rv63RD/UyDK0n1C4Au8BRcRan7tn7hmTNnTo8VF/pedBtopWpX+hxdVzjWgzLBi3jpPqs9nzXZaI871LbW6ZKhqkX1i4sm33uj+58m8/X3KJhe16mAmuwPTpTrcwZPMdQKUn2fwYv96T6oVdHaa9dejE+rSvVz14pw/UxsWr2vB3OCK+T7+pxaKRNquqN+PnqwIfjLZah/C5UmszXprV9ke6JfCPVz0/0IAOJB9a5q2Vuyd0hO+loDoQc6dXZE8OKKXenP3n//fRPHaNymf8f0b5z+TVOawNWDcBoD6FR4PbirM01sGss98MAD5jF6UFbbXmk7GrtFjb1IldJ+pFq5qSeNlfRvV18OBnalj9Okrj0LKXjaf3Dff20loFP89f1pFa/G5bpAWHfrLOh9dGHWs846y8Qh9liVXtfvGRqf6ZR+/RusB4d1Qa+u7b0Gm/591ferMZzO8tKYoetivvq5aGGDzj7T7a+tmDTprQUCXXv1o3tUwAIAoo5+8dckk1ZT2kkRu1WATRM3GpTp7TpdP7jfqU5n1+ROd4vfBL9OcAsCTVZogGIv1qOJQA0INeGnCQRN9OkUWU2+aDCi1XfBCVdNhGnVpB7F10SGBnV6P50q358p0RqMamWkJqZ0ypAuLKRj1YoBrdLTxOhAK/K0Gq5rYksDSU0y6VF77eNq0+tamRC8WnkoGqRqIKx9YAeLJgI1oav7gFZNBFcQa9JKg1dNjp122mmdpnZrwkj74WpVpiY0ddXd3uj7189NafJKE1G6ve3Ka6040EUmNCjVhKkGqJpw0i8TWhGiXyjs/eWEE04w99WE/ZgxY8y+qEFsbzRJpdtPE4I6fn0OpfuA7pcaLGs1iCbm9QtRX/px6RcGbQug+422pAj+bHuqLNWqZ/1CpfuZbgOtgNb3oAlMbXdhfylSOtVP98Xu2mUoTUBqYl6n9+tBDf1iopXi+rujlbpaDaP0fel99Auc3RKiO/peNFmtXwx0n9bPWQ906Jc33S+0Al4TjcFfLHRb6DbRfyv0C4j+GxLc8kG3te5vur/rvqPbTf8d6drXWem+oL8fvS3EpQcuNEmsvyOaBNX3r4l7/XdHE9fBbT10e2jiO7h9hP47oo/Tz0OrUrSCRRew0s+ma6WuPp+OW7eNfk46DVIPYOi2Ca4E7+tz6rbUpK7+/mn/Xq0s0gMOOnb9fQyuitfX1oolfR2tatUvrZqo1e2tlVPB1Tn65XT9+vVmHPq79fTTT5vfE93vjjrqqB63JwDEAp1+vvDMhUP+mv2lMbHGJPZB3VD076v+G66xrh481b97+u+7Ji51wUo9CK1/1+wZFxrT6N9+ja8vv/xyE2fo32ztw6p/V7Q6Vf82238H9XadVaWC/5bY9DGawO0P+8Crxi/6NzLU4mLaGkD/rmmMp/fRpK1uQ/07F9yXtesBZ+25r3/jdC2AYBpb6N9OfV/6sx//+Mcm8atVwRpPhmovMFj0e4We9LPR19R4LtRinLrd9W+xtsTS7wW6fXRWW2/thhDEAgAgymzfvl2zGn0+vfbaa+Zx999/v7k+a9Ysy+/37/N8+nPbhRde2Ok50tPTrSOOOML6+9//vs949PlPOeUUKysry0pOTramTJliXXTRRdbq1as7PV9aWpq1detW6+STT7ZSU1OtESNGWIsWLbJ8Pt8+Y7n55pt73Aa1tbXWtddea02dOtVKTEy0hg0bZh1zzDHWH/7wB6ulpaXX5zrkkEOsE088sdN76G07TpgwoeP+ellve+qppzo9r77P4Ps9/PDDlsvlsl588cV97qfbozc6Rh1rKIWFheZzOfXUU/f52RVXXGHG99BDD3W6vbi42Bo3bpz1k5/8xKqurt7ncfoY/UwGsh889thj1uGHH24lJSVZubm51vnnn28VFBTs8/pf+9rXrOzsbLO/fPOb37RKSkr2eV29HCpMu+GGGyyv12utXbvWXN+7d6918cUXm89fx6b74aeffmo+Ax17T/7xj3+YfeZvf/tbp9+Hvmz/f/3rX9Zxxx1nPkM9TZ8+3frhD39obdq0qdNj9T388Y9/7PTY7t7bHXfcYZ4nISHB/G5cdtll1p49ezp+/qMf/cg64YQT9tmXenrOu+++25o9e7aVkpJiZWRkWIceeqj185//3Gxzm26rM844w3rppZesww47zHx+Oo7HH3+803M1NTVZP/vZz6xRo0aZ5zv22GOtlStXmvcZ/LsU/N77Ssd54IEHmt9l/fdDt1nXz8R+j/a/Z7bGxkbr6quvtkaOHGnGftRRR4XcRurNN98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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_t = numeric_train[nan_columns[21]]\n",
    "\n",
    "test_density_fillna(x_t, [\n",
    "    lambda: 0,\n",
    "    lambda: x_t.mean(),\n",
    "    lambda: x_t.median()\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule[nan_columns[21]] = x_t.median()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_t = numeric_train[nan_columns[22]]\n",
    "\n",
    "test_density_fillna(x_t, [\n",
    "    lambda: 0,\n",
    "    lambda: x_t.mean(),\n",
    "    lambda: x_t.median()\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule[nan_columns[22]] = x_t.median()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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OQz9TP//8836fPY8S3BpHOLArX0nHT4lVvU/o74bX/a64c6d2av9V8RnaTlV5hLZTX1hCk+2hv5tKIqv6RG0KPNYaBzfcuYuEPgOh58Kj36mSvgzq+XC/S17S33u9d1vUuoHvE8tthvIujNDFHwDiuypVvbLCDW/jVaYWR4lR9TpRzKZ/9wMvvim28Ia58uhnPR5IFzhLimH0t1qxg7cosRuOql51EVvxmRK94f7Ga/glJU4Dt+fFMYFd8sNRLFhcWxXDqFBD3xm0njcXQeg4/KoCDnz/0OdF2wlcJ9zcD6qo1XOKmVQIoDg6lJK5iicVGwVub9y4cSXuL/ahmz8AIG4o0aRgQwnV0lDXeiU3Ne5h6OQ/HiW8vEmfFEjpyrC6s6gLsbr8et2TNXZTuCvLpW1TpPS+qri7+eabwz7vJYE8GppA4z8Gitas80qMamgBJTd1lT2c1157zSVDVGEZSNUHkVCFoRKxOh9aVJ2gCgclTr2qTo8q2P7yl7+4YFzJXZ0/VUSoejCUkoqtW7cu8f1VPadxV2Xbtm3uc6DxplSlrArN0lQ/aH2NB6bPnaoNFIjqfOpzFTh5mEdJbyWR9TpV5IZe/dfYZHpM7VHXfh0rJQV1HLzt6aKAl7D16AtA4ARk+j0Kd4xCaZvavtoUbrKqcAlOJQvVBV5d50M/m1La6hGvUjTc71xgO/WlILBKOVBZKtmVCNZ+qKuixu7V513/hujYhzt3kdBnSF9OlNwN7OqvY6Z/l1QxW9LrV6xYsd/jXhd87/VeF0Lv8dB1A98nltsM9fLLL7vPpSqKAQDxR1291YsjcNLB0v6NVzJOw73ob6kuYCrGLi0NMRUa64RSgjSwJ4n+LgXGQh4lHLWu2qJu/JoTQMMbBdKFWW+orlDhhrXxLF++3P2NL66t2q7iUw1zpL+POi6aODb04qvi68AEdrh90UVgr9iiqIuTiklV/aviAcX0en8v1grcX8V96i0SGv+VZULZ6opkKgAgLqjSSVe8AweYj4QCNlUWqhuRgqWikqlKogUGIL/5zW9cAkVdezSjvLq4iJIggesVRcGQgr3AhJLXFci76hwJva+CmkjeU1RJF7pupInMkii41DFUtWVRVNWrgFDdgjQcgBKgCtbCXfkuqkIgsKJX46IqeNc4sQrqApPWOj8aR1RJNAWMeo9wA+urWlXjbCqJWRIFjYHHT9vX+6g6WElOLyBWQjJ0XEclQ71zq670mlDhrrvuctWkHq/CORx17ddx02dV3eI0RmhghYdmSVc1yP333x9U7Rc4eYKSjoETKYm62gUmxFU1GjjObHGfPVWmap/DJUbDUeJbyUJNDhFO4PELPM/6fdGx0ecnkLq5KaFbXPJX7dTQGapeieSLnD4L2q/A6tTQ300da43PpvFRA+lYB453XBpKqMvkyZNdV0ePftb+e88X93olxlW9HVjl8sMPPwRtX1/C9Hui7eoz69EXM/0bGvhYLLcZSM/pvOjfDABA/NHFQCUadWFXsVo4GvfTi33C0d8MxTaaBFJ/15W8VBWkd4FRyULFcop1PPpZ49QHxj0//vhjiePE6wKoeqKUVPSguETDJWldFSNMmDBhv3U0t4F6qylGKE3xhCo5FZeETt7o0XcSxUNe3Cwq4ghHvZJK2h/FgIHrhIuJFMN466g4QjF0aJWrYjHv4m9ZJpGFH938AQBxQVVLSqiW1H0olAI6VThGkjwKDfjUDcnrrqpKSyUGVLEWOju4aJbSUErEepS80c9paWml2gclKRTYaXyqUErseBP0VDRdsdcMq0qSFZewUgJFAa6S0bfffrtLTBZ31b4kOuaaxEvdqwOTiB69lxJuutKuRKiqNEO9++67rot8WSa18brbe1fmFWAqWH3iiSeCujKrskGJJnXVD1w/tLt+UbOoihewqhpX3bmUQA4cX1LbDN3eo48+GjQmrndRIHDReLuihJ0qnL1xUEuiMbz0nvodCn1f/Rx6YUKVvEp+q1q4qEpSffbVpU/nNLDCU8G8hnTwjp/os60vL5oFvrhKCO2LjoEqSENpG6Ez9eoCS+AEVvrMaoxkJfm8doc71uqSGK7iUl9CIhlKQ58/Jeb1exRIP2vYBSXuA5Pe2qbGKPZo8jHtZ+BEd/oMqlpZY9N6E9GpYlnnXZXaOiceVdXrwkxg5Xostxn677sEThQGAIgfumipHgZFDb0kem7SpEkujlHcpr9j+hvnzXqvZKx6fykGUHdzXahVDxCPYrkxY8a41+gCq4aW0vjtGq9TvAmaRON3esMZKVbS35myDMOj1ylB6/UO0sXDcOPkq7u+utFr/1Rdq7hck2MVNS+B1tGkpEOGDHFxiNdW0c/6nqH4TENk6e+lLihqMisNSVaRFBdpfxXDqfeV/r6H/l3WeVGRgnqF6fgvWrTIJbB1sT90bHsUjcpUAEBMqRuKEkaqWPISHF53fI+SMAqw9Li6xAeOi6ou40rUFDXxS+D7BHbzV5JAwYY3UY2SegrulLzTFWol7dR9WIkUBRaqigtMniqppWpGXV1XAkEBmtZTd/TSdDtWYKmKRSWZ1C1HXWDVVl3JV/WckpxlrZRTRVlokkpBoRJGupo+cODAwsf1syoGFDgWRwGnglqNmxotSuopOavPgKoZAit7lYBSIKpE18knnxzUfVqJKI0hq2pJJSc1e2xJtP/e7PNKGikBpOPtVUSrEkATLCjAVPJTwaYS6fpioEoNfTnwPi9HHXWUW1fJ9+bNm7vPogLSkqhiUsdPyT21X9sQfQb0uVTgqyoNJdn15SaSCb8U/KvrvT43GvYh8NwWV/GpamR9OdLnTMdAlcnaByUjNaSE9wVH1J1On8WihqQQJROVZFcXel2g0JcMVXDrd0cVtKpSEe2X1tGXMW/YhaJoX5R4VpCvz7TOsy5a6IuYPheqTFeCL/BLgo6Fjon+rdCXCf0bEjisgo61Pm/6vOuzo+Omf0dCx0EWfRb0+1HSJFS6CKGEr35HlHzU/isJr393lIQOHDpDx0NJ7MAhGvTviF6n86FqEVWW/Pe//3XnJrSCVttTu3VsdJ7U1VAXI3RsAiu0Y71N73dO3RdVxe71AACA6iQ7K9sWv7O4Ut+vtBQTKybxLtCGo7+vinUU6+pCqP7u6W+CkpCarFEXlPV3zeu1oJhGf/sVX1955ZUuztDfbI2rql5QqhrV32bv76AeV28nCazA9Og1SsaWhncRVfGL/p6Fm1hL3e9VIasYT+soAauu+frbV9SEibp4rDHqZ82aZa+++mrQc4otFMtqv/Tcn//8Z5fEVbWu4slwXfijRd8rtOjc6D0Vz4WbNFLHXTGghp3S9wIdH/2dDrzojRL4AACIoUWLFilDEfHy1VdfudeNHj3a/dy7d29fQUHBftvT856LL744aBu1a9f29e3b1/fCCy/s1x5t/8QTT/RlZWX5MjMzfe3bt/cNHTrUN3ny5KDt1apVy7dw4ULfCSec4KtZs6YvOzvbd+edd/ry8/P3a8u9995b7DHYtm2b79Zbb/V16NDBl56e7mvYsKHv8MMP9913332+3NzcErfVrVs338CBA4P2oaTj2Lp168L1dV+Pvf3220Hb1X4GrvfKK6/4kpKSfJ988sl+6+l4lERtVFvDWbp0qTsvJ5100n7PXXXVVa59L7/8ctDjy5cv97Vs2dJ3/fXX+7Zs2bLf6/QanZOyfA5ef/11X58+fXwZGRm+Bg0a+M4//3zfkiVL9nv/M844w1evXj33eTnnnHN8K1eu3O99dT9cyHXXXXf5UlNTfVOnTnU/b9q0yXfJJZe486+26XP4yy+/uHOgthfnxRdfdJ+Z//73v0G/D5Ec/7feess3YMAAdw61dOnSxXf11Vf75s6dG/Ra7cODDz4Y9Nqi9u3xxx9320lLS3O/G5dffrlvw4YNhc9fe+21vqOOOmq/z1Jx23zqqad8Bx10kK9GjRq+OnXq+Hr06OG7+eab3TH36FgNHjzYN3bsWF/Pnj3d+VM73njjjaBt7d6923fjjTf6mjZt6rZ3xBFH+CZMmOD2M/B3KXDfI6V2du7c2f0u698PHbPQc+Lto/fvmWfXrl2+m266ydekSRPX9n79+oU9RvLNN9+4c65/pxo1auTO2datW/dbL9bb1OPa10ceeaTY4wYAVZn+XZwzZ467Rdnob2Ng/BRIMWpJsVBlUryh2DycIUOG7Pf3HYn3e52k/8U6oQsAqL5UzaQr06GT6JR1vcqgClJVjapatirSVX115w+dWT1eqVu5Kt7UfUrdpYGiqBJElRgffPBBrJsCAKhGVNmpnh2KVdV7CaWnylQJ7BXjUa8i9QJTZWs86Nevn+siH25oG1WmqpeQensgcX+v6eYPAADiOohRN+mzzjqLRCoAAECCCpdE9ajLfSQTjVYWDSVUlMBhhZC4SKYCAGJKY3pqXMrAcVDLsx5KpvE9IxlTM5Y0FqPG1VQFsAbR1zhZAAAAABBrJFMBADGlAc9DJ5wqz3oomSbx0hLP5syZ45LnmnBKg/VrsiYAAAAAiDXGTAUAAAAAACgjxkwFqtfvdXLMWgUAAAAAAAAAVQjJVAAAAAAAAACIAMlUAAAAAAAAAIgAyVQAAAAAAAAAiEBqJCsBAAAAAACgdEYMG2a716yptPfLzM62W0aOrLT3A6ojkqkAAAAAAAAVQInU4W3aVNr7DV+8uNSv2bx5s9WvX3+/x7OystxzAILRzR8AAAAAAKCae+utt2zVqlVueeihh2LdHCBukUwFAAAAAACopvbs2eNuDzjgAGvSpIlbVJUa6oEHHrAePXpYrVq1rGXLlnbVVVfZ9u3bC58fM2aM1atXL+g1ixcvtqSkJJs2bZr7+euvv3Y/h1a86rF33nkn7GtC6T30Xp5ly5bZb3/7W/d4gwYNbMiQIW4bRfHaEG7x2iAzZ860Y4891mrUqOGOzZ/+9Keg/ZXnnnvOunXrZhkZGda0aVO75pprgp4fOnTofu9x/fXXFz6v4/D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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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AAFALkqka17SabcvKMvvXv36rTn3++YptQEnY/HyznBwzJWYrOyHWoEH++3T1B4DES6aOGzfOjjvuOGvVqpUb1++tt96KZXMAIKaVqZJiKfbYsY9Z3Yy69vH8j+3yDy83n/kqPF7q/m33d5WulXVQe8ZNBVA1xHkAEqqbfw1UpjqXXGJ22WX+++ecYz0XLIi8u73XxX///f2TSVUW46YCQOImU7ds2WJ9+/a1hx9+OJbNAIBS+Xy+kgmoaqIyVfq37G8vnvyiS6w+OvlRm1xnsm3fub1ik09VcrzU3ZKpiwmyAVQOcR6AhFCD3fwdTRp1//1mZ53luu2fqoTmI4+Yff+9fyKs6hwvNTSZOnYs46YCQCVU4wjb5Tv66KPdAgDxavXW1baxYKNLbHZu3LnG3vf47sfbvUfea1eOudJmZc+yuePn2t4t97b92uxnOVk5pSZ+vUmjKjtequfAdv4gfdqKabZh+wZrmN2wStsDUPsQ5wGIezt3mv3yS4118y+Rmmr21FNmTZvajgcftMzVq80++sjss8/MevWyJu3bhx8v1UumDq5anGf77eefbOvXX80WLjTr2LFq2wOAWiahxkwtKCiw/Pz8oAUAqpNXldout51lp2fX6Htfsd8V9sJJL1huUa7tKNph3y791u77/j57e/bbtjl1827rj1001pZtWmYZqRk2sPXAKr13y5yWrhJXQwy8OuvVKm0LACJBnAegximRqISqJmRq3bpm31vJzHvusbtPPVVXn8yaNTMrLDT74Qf783vvmb3zTvD6d91ltmKFWYMGZvvsU7X3rlvXbOCuWPG116q2LQCohRIqmXrbbbdZbm5uydK2bdtYNwlALZl8qmuTGur6FeKM3mfYCfkn2Bm9zrB2DdpZsa/Ypq6Yau/mvGtj5o0pWW9b4Ta74N0L3P3z+p3nxlytqov2usjd/vurf1vBzoIqbw8AykKcByBmXfy7dPFXi8ZAgSaEUnL04ovNzjvPrH17y1KCd/hws1tv1ZUms2nTzP7xD/8L7r3XrE6dqr/xBf640f7zH7NNm6q+PQCoRRIqmXr99dfbxo0bS5YlS5bEukkAasnkU90a12DXrxAaYkBVouf1P8/+2O+P1iqnle1I3WFHP3+03fDZDfZr/q828suRNm/dPPfcfw7/T1Te96K9L3LbW7xxsT35w5NR2SYAlIY4D0DMkqk12cW/rLFU27VzY6lO7N7dP5bpjTe65KpLrKpqVbdKuEaDxmzVOLFr1pg98EB0tgkAtURCJVOzsrKsQYMGQQsAVKcfV//obrs37W7xoG1uW1d52q3A3wX/tq9vs7b3trU7v73TPf+/Yf+z3OzcqLxXnYw6dsPgG9z9W7+6NeJJsDzrtq2zF2e+aI9PedyWbCQpAqBsxHkAatyP/jjPlLyMF2lp9r7GNH3iCbM2bcxWrvQPR9C8udljj/mTrtEaZuCWW/z377zTbP36Cr28wZYtZq+8Yvbgg2Y//RSdNgFAgkioZCoA1LSZq2a6217Ne1m8SE9Nt0FbB9lLJ79kB7Q9wCVV9Z+GAjiu+3FRfa8/DfiTtW3Q1o3F+vfP/m7FVlzua3YW77QZ2TPskUmPuGES9Nqnpj5lE+tMZLgAAAAQP2b64zxN+hR3zj/fPznWCy+YnXaa2Ztv+sdVjSZtt2dPs40bza691mzHjvJfo4rZhx+2S996y59EXbfOn1R9/XXL1pAEAFALxDSZunnzZps6dapbZMGCBe7+4sWLY9ksAHC27Nhiv6z/Je6SqZ7Tep1mX//xa1twxQJ7+ZSX7akTnor6e2SlZ9k/D/mnu3/P+Hvsg5wPbPmm5aWuv3brWjf8wJQ6U1xStWPDjtY3r6977sfsH+2mL26KehsBxCfiPABxTUnBWbPiN5kqGRlmZ5xh9tJLZvvvH/3ta5xYjcsqqoQdMMDarlrlPzbhqBpVCdjLLvOP66qxrVVFq2rZmTNt2Pjx0W8jAMSh9Fi++aRJk+yQQw4p+fmqq65yt+ecc46NHj06hi0DUJuMuHmErdy4MuixvNw8O/XCU13FZ7O6zax5veYWrzo07OCW6nJO33PM5/PZVR9fZWu3r7XHpjxmefXyrEezHi5ZWmRFrkv/lwu/tGs+vsYWbFhg6b50G7bHMJdITUlJsfa57e2dOe/YEz884ZKzStICSG7EeQDiwe0jRth2dZUPkJ2XZ9f95S9mGza4bvVx1c2/pp1wgj9Ze/nlLrl8vhLMEyea9ehh1qmTWevWlqnxWseM8VevTp/ukrwf9u9vRx91lD+RqjFnn3nGeuhi2erV0a+gBYA4E9Nk6sEHH+y+oANALCmR2mF4cDJy4VsL47KLfywoGarJr47qcpTtf/v+tjhrsa3cstItX9gXltow1Z77z3Ml63dq1Ml6Lupp/Vr0K3msb4u+9unPn7qk61s/v+WqagEkN+I8APFAidSRHYLjvJEag9Tr4q9EYFYtv8iratOhQ12ydOfo0ZauSanGjfMvaWl2XXGxf7gBycsze+01+/6JJ+xob/zWjh3NWrWytGXLzJ59VlfPYro7AFDdGDMVAEoxa5W/61dtT6Z6Wua0tCFbhtg1g66x47sdb92bdLe6GXWtOMU/juqeTfe0K/a9wiZeMNEaFzUOem1qSqp1Keji7qs6FQAAIKbiebzUWGjSxOzJJ+1OJVZPPNFfmVq/vllRkaXqwpgS0hrHVVWrgwfv/vr+/X8bLoALaQCSXEwrUwEgns1cTWVqOHUy6lj/lv3doqqzme/OtEf+9Ui5QyF02dHFpteZbp/+8qktWL/AOjbqWGNtBgAACOKNl6oJmFCiIDPTX63bp48/Kbphg92zbJld9eqrZb+wVy8r/Ogjy9CkVBo7ddCgmmoyANQ4KlMBoBR0849sCICc4pyIxpTVekM7DXX3R00dVQOtAwAAKAWVqeVTN/5GjSy/Xr3y183OtlnecAqqTgWAJEYyFQDC2JGyw5bmL3X3ezajYiFazu9/fkkylbEUAQBALKQoBvEqU0mmRs2Url39d15+2Wzr1lg3BwCqDclUAAhjQ+oGd9u2QVvLzc6NdXOSxvA9hlt2erZLVP+85udYNwcAACSiKl6Qbbh5sz/Zp4mnOneOWrNqu8XNm5u1bm22ZYu/qz8AJCmSqQCSyrJNy+ypH56yByc8aJtTN1d6O+vT1rtbuvhHlxKpg9r4x9D6cuGXsW4OAABIJJot/sknze6801quXVvpzTTb4L9obnvuaZbONCJRHRZgyBD//S+J8wAkL5KpAJJCsRXbB3M/sMenPG5L8pfYum3rbFy9cbazeGeltrchzR9kk0yNviHt/UH22EVjY90UAACQKN3yx4wxe/xxs6VLzbZts1PGjjXbtKlS22vuJVPp4h99XjJV5wcAkhTJVABJYX7mfJu4bGLJGKdZaVm2On213fLlLZXaHsnU6jOkw2/JVMZNBQAA5em+ZMlv3caVAM3NtSZKpF52WaW213y9vweS9WRc/GpLpn7/vdn27bFuDQBUC5KpAJLCvMx57vbg9gfbKT1OsWO7Het+vvWrW23swopdGVeCz+vmz+RT0bdfm/1csnvF5hU2d93cWDcHAADEuX7z/HGe7bef2cknm514ohWrS/kzz5i9+GKFt0dlajXq1s2sRQuzggJ/QhUAkhDJVAAJb966ebYqY5WlWIoNaDmgpKK0S0EX85nPbvzixgptT0MEFKQWWGZapvVo1qOaWl27x03dt82+7j7jpgIAgDKtWmVd1bVf+vf337Zvb1/17u2/f9NNZsXFkW9v+/bfkqn9+kW7tQgcN5Wu/gCSFMlUAAlv9NTR7rZz486Wk5VT8nj/bf0tPTXdvl78tU1fOT3i7S3YsMDd7t92f6uTUacaWgzGTQUAABF5/nlL07BArVqZabb4Xb5RVWmDBmaqWv3008i3t2iRpWp7XbuatWlTPW2u7UimAkhyJFMBJLSi4iJ7etrT7n6/vODqgrq+unbiHie6+w9PeDjibS5Y70+mHtrh0Ki2FWGSqQsZNxUAAJRCMcKoUWGrSHdkZJidc47/h4cjj/NsgT/Os8MOi1ozUUoy9bvvzHbsiHVrACDqSKYCSGifL/jcluYvtcziTOvetPtuz1868FJ3+9yM52zD9l1dusqgxJ5XmXpYJ4Ls6jKo7SDLSM2wXzf9ar+s/yXWzQEAAPFo6lSzGTNsZ2pq+PFNL7nEf/vee67itELJ1EO5aF5t9tzTrFkzs23bzCb6J4gFgGRCMhVAQntm+jPutuOOjq5Lf6iD2h/kJpHaWrjVnp7qr2Aty8otK23bzm2W7ku3ga0GVkubYVY3o67t03ofd5+u/gAAIKxnn3U3P7drZ1YnzNBLe+zhT4pqzNTHHit/e1u2uDFYnUMOiXZrEThu6kEH+e/T1R9AEiKZCiBhFfuKbcy8Me5+h8IOYddJSUkpqU7976T/utdE0sU/b2eeZaRlRL3N+M3gdoPd7bdLvo11UwAAQDwa44/zZnUIH+c5l/rjPHv8cf8M8hFUpa5o1MisadPotRO7Gzz4t67+AJBkSKYCSFgzV8201VtXuyrHZjublbreH/r8wRpkNbA5a+fYh3M/LHObXhf/loUto95eBNMEX0IyFQAA7Gb5crMff3RVjgtbtCh9veOP908ktXq12QsvRJRMXdCSOK/a7b//b8lUxscHkGRIpgJIWJ/98llJV/40Syt1vZysHLtwrwvd/bu+u6vMyawWbfSPt9VyJ0F2dRvUZpC7/WnNT7Z+2/pYNwcAAMSTzz/33w4YYNuyskpfLz3d7Ior/PfvuqvsxN2uZOovJFOrnyYMy842W7vWbO7cWLcGAKKKZCqAhPXZAn8y9bCO5U8U9Zd9/+LGVP1y4Zc2admksOss27TMdhTtsDrpdaxRUaOotxfBmtVrZl0bd3X3xy8dH+vmAACAePKZP86zwyKYEPSCC8xycvyVrB99FH6dDRvM1q93la6LmzePbluxu8xMs7339t//ll5IAJILyVQACamwqLBk4qJIkqltGrSx03ud7u7f/d3dYdeZtNyfZO3UqJOlWEpU24vwBrX1V6fS1R8AAJRQdamXTNUEU+XJzfUnVOXu8HGeTZniv23TxgqU6EPNdfUnmQogyZBMBZCQJi6baJt3bLYmdZpY3xZ9I3rN1YOudrevznrVFm5YGPTcys0rbfrK6UFjeaL67d/Gf6y/W8rkBAAAYJf5880WLzbLyPhtIqPyqKt/Wpo/CfvDD8HPbdpkNn58cIIP1W+Q/6I5k1ABSDYkUwEk9Hiph3Q8xFJTIvunrF+Lfja001Ar8hXZmW+caQU7C3YbMqBns57WKqdVNbUaobzE9fe/fm87i3fGujkAACAeeFWpSsbVqxfZa9q1M/vd7/z3zznHn0D1jB1rVljon6iqe/dqaDDKTKbOmmW2cWOsWwMAUUMyFUBC+nTBpxF38Q/00NEPWW5WrutWfsG7F5jP57Pl6ctt7rq5Lil7SIdDqqnFCKdHsx7WIKuBqzKeuWpmrJsDAAASbbzUQHfcYZaXZzZjhtkf/mBWVGRNlcTzuvgPHerGTEUN0bno1Mk/bMP338e6NQAQNSRTASScLTu22HdL/N2FVGlaEd2bdrfXfveapaWk2bPTn7WWd7e0j3M+ds8NaDnAmtRtUi1tRnhpqWm2X5v93H3GTQUAAFZcbPb555VLprZta/bWW2ZZWWbvvOMSeZe8/bY/mdetm1n79tXSZJSBcVMBJCGSqQASzteLv7bC4kJrl9vOOjfqXOHXKwH74NEPuvsrt6x0t9rWwe0PjnpbUb5BbfxdwBg3FQAA2PTpZmvXmtWvb7bPPhV//X77mY0a5b+/eLGlKpHatKnZEUdEvamIAMlUAEkoPdYNAICK8sY3VRf/lEp21bp44MWui7nPfPbYfY9ZtyHdotxKVHTc1HGLxrlhFyp7TgEAQBJ18T/oIP8EVJVxxhlmrVqZ5efb3c8+a1f36BHVJqISyVRNQqVxayt7TgEgjlCZCiChk6lVMaTDEDu4w8GWaZlRahkq44C2B1hGaoYt3rjY5q+fH+vmAACARBwvNdSQIWbHHWeb6taNSrNQSb17mzVubLZ5s9nEibFuDQBEBclUAAll3bZ19sPyH9z9QzseGuvmIArqZdazQW39Xf0/+2XXFygAAFD77NhhNm5cdJKpiA+pqWaHHBKcKAeABEcyFUBC+WLBF65rvrrot8xpGevmIEq8KmOv6hgAANRCEyaYbdniH+NUFY1IDkN3TRhLMhVAkiCZCqBWdvFHfPHO5+cLPrdiX3GsmwMAAGLBS7Ydeqi/ohHJwasy1ripW7fGujUAUGX8hQKQUD795VN3SzI1uezTeh+rn1nf1m5ba9NWTIt1cwAAQCKPl4r40qWLWdu2/mEcvv461q0BgCpLr/omAKBmLNm4xOaum2upKalu8iiUb8TNI2zlxpVBj036YZJ1GN7B4klGWoYNaT/E3p/7vqs+7t+yf6ybBAAAapK6948f779PMjUit48YYdtXBsd5MmPSJLMOcRTrpaT4z+no0f6E+RFHxLpFAFAlJFMBJFwX/4GtBlrD7IY1/v6JkpgMpPaGtu/rCfFZEaBqYy+Zes3+18S6OQAAoCapYrGw0KxdO7NOneIiMRl3SckQau/IMO0bHo/Vn14y9VN/LzMASGQkUwEkjHfnvOtuh3baNYh9DUukxGQiOqyTvwpl3KJxtqNoh2WmZca6SQAAoKa8++5vkxWpkjEOEpNxmZRMVBoHV374wWzdOrPGjWPdIgCoNMZMBZAQ8gvy7YO5H7j7p/Q4JdbNQTXo1byXNa/X3LYWbnUJVQAAUEsUFZm99pr//inEeUmpVSuzHj3MfD6zMWNi3RoAqBKSqQASwjuz37HtO7dbtybdrG9e31g3B9VAY+EO7z7c3X9u+nOxbg4AAKgpY8eaqYu9qhVVmYrkdNJJ/tvniPMAJDaSqQASwsuzXna3p/c83VJi0PULNeOsvme529d/et1VqAIAgFrgZX+cZyefbJaREevWoLqc5Y/zXGVqmImzACBRMGYqgLi3ftt6GzPP3x3otF6nxbo5qEYHtD3Acn25tnHHRjvqhqOsU6F/Aoq83Dy745Y7Yt08AAAQbZp0yuvifxpxXlLr1s1sn33MJkywD487zr5Xt/9dsvPy7Lo7iPUAJAaSqQDi3ps/v2mFxYVuTM0ezX4LupB8VHXcYXsHm1Znmi1vu9wO7eOfrGDhWwtj3TQAAFAdPvvMPyFR8+ZmQ4bEujWoierUCRPs6KVL7ehjjil5eORCYj0AiYNu/gASqos/kl+nHf5q1Pnr59vmHZtj3RwAAFATXfw18VQ6tT5J7/TTrUhDdi1fbrZ6daxbAwCVwl8rAHFtxsoZ9sn8T9x9uvj/ZvKkyXbulecGPZYsXeEbFDewNjltbOmmpTZ95XTbv+3+sW4SAACoDsuW/ZZMPZ2L5p5JkyfbyHOD47yk6QbftKnNbdPG9liyxGzaNCYcA5CQSKYCiBsjbh5hKzcGD0b/dcOvzZfis1N7nGpdGneJWdvizbbibdZheIegx5KpK3zfFn1dMvW7pd/Z3q32jnVzAABAFd0+YoRtD5l06ISpU63/tm1mBxxgNnhwzNoWb9K3bbORHYLjvGTqBj+tc2d/MnXiRLNBg8zq1Yt1kwCgQkimAogbSqQGJggXb1xs86fOt7SUNPv3of+OadtQs/q16GffLvnW1m9fb18v/to6mb/rPwAASExKpAYlCNeuteLp0/33b79dA6fHrG2oWT+3a2fWsqW/q/8XX5gde2ysmwQAFUIyFUBc8vl89ukvn7r75/c/37o16RbrJqEGpaem2+GdD7dXZr3iqlObpzSvdHVzsgx/AABAUvn8c0v1+fyJNKpSaxWfEudHHmk2erTZlClm++xTpQrnpBkCAUDCIJkKIC79sOIHW5K/xNJ8aXbTkJti3RzEwB5N9rD2ue1t0cZFNqXOlEpVNyfb8AcAACSFuXPNfvzRfGaW8n//F+vWIBbatzfbc0+zn34yGzMm4oT6bhXOSTYEAoDEkBrrBgBAqNlrZtt7c95z93tv722tG7SOdZMQAykpKXZk5yPd/QVZC+y+8ffFukkAAKCqNFbmK6+4u5O6dTPr3TvWLUKsaPKptDSzX36xQ6ZOjXVrACBiVKYCiCsLNyy01356zXzms355/azPz31i3STEUMuclnZoh0Pt84Wf21/H/NUaZDWwP/b/oyUThiYAANQa6p79wgtmO3eadeliH+67rw2MdZsQO40bmx11lNn779sQjZ97111m11xjyYahCYDkQzIVQFwoLCq0qdlTbfq06S6R2q1xNzuu+3G2+OfFsW4aYmxwu8G28ueVNit7ll3w7gUu4T7igBFWL7NeUiREGZoAAJD0iottX3Xn1viYSqS2aWN26qlWvGxZrFuGWNt7b7Pt280++8zsb38z02fi5pvNcnMtWRKiDE0AJB+6+QOIubELx9qgJwfZtDrTXCK1V7NedkqPUyw1hX+i4O/uv9e2vezCvS60Yl+x/Wvcv2yPh/ewe767xyYvm2w7i3cGra91ioqL3CRmNcVLiAYuoclVAABqpcmTXXfuoydM8CdSO3c2+/3vzTIzY90yxIvBg22cN9zDvfeade1qdtttZuPHmxUWBq2aUlzs/xzVYJwXmBANXEKTqwBqDypTAcSEEl3jFo2z//v6/+zj+R+7xzKLM+3Ynsda7+aMnYVgKZZijwx7xA7vdLhd/fHVblIq3YqS7llpWZaRlmGbG2624nHFJa9LS0mzeg3q2ZoX1liv5r1svzb7uaVF/RYWr5Qc3mE7XEI4LTUt1s0BAKByJk0yU9Xea6+5HwvT0ixDM7irElGzuQMBPh8wwA76z3/M/vpXs59/NrvhBv8TqalmWVlmGRlmO3bYzapi9ei53Fz7Q506ZlddZbbffmaDBpm1bWtxq6jIJYhdUhhAwoqLZOrDDz9sd955p61YscL69u1rDz74oO2zzz6xbhaAavBr/q/25s9v2mOTH7MZq2a4x9JT0+2CARfYmk/XWI/mPWLdRMRxherJPU62Y7oeY49PedzGzB9j3yz+xjYWbLRtO7e5xUK+mxX5iiw/Ld/en/u+WzwdGnZwSdX+Lfpbz2Y9rVuTbvbwAw/b+o3rXeK2Il31N+/YbOtT11vh2kLbULDB8gvyrWBnga2tu9bOeP2MUl+3o2iHbdy+0abmTDXfBJ97zfad212brZHZS/96yRpmN3QTsHVs2NE6Nerkbjs2+u1+PA11AJSGOA+oRVavNnvnHbPHHzf7/nv/Y0qcnnmm/XfrVruCyaZQFo2fethhZk89ZfbBB2Zff222bp3Ztm3+JZQSkuvXW5f16/0VrZ7Wrf1J1QEDzHr2NOve3axFC7v91ltt+6pVFeuqr/ddtMg6//qr2dq1Zvn5/scKCuwU3T/99N/WDbxIoIrajRvdctns2f4kakGBv6rWzG7W//S70qqVWceO/qVTp+DbBg2qcDABJHUy9eWXX7arrrrK/ve//9m+++5r9913nx155JE2e/Zsa968eaybB6CSVFW3YvMKW5q/1GavnW2Tlk2y75Z+5249dTPq2h96/8FGDB7hkkPnfnJuTNuMxFAno479Zd+/uEVd+lduXukSk1qu//f11umYTq5aVZ9BPfbzZz/biaefaFOWT3GfwVmrZrlxV7W8NPOl3zacapbeJN3qZ9a3ehn1rE56Hduxcof9+sav7rOqn5Xo3Fa4zdZvX++qYxdtWGRrt60107BeM0MammX2y8xfIvtLHOb7gYa80PtombkqdON+zeo2s/Qt6ZZVmGWZvkzL8GW4pXFWYztz+Jluwq6czBzX/uz0bHfstB+B97PSsxhSA9WGOA9IUkpiKXG6dKnZnDn+rvzqkv3dd/7nRJWEv/ud2XXXmfXqZevPJc5DBPS5ufBC/6LPkrrS79jhXzIz7T8jRti1Gn9Uz+mxjRvt7Tlz7IT+/f2fv2n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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_t = numeric_train[nan_columns[23]]\n",
    "\n",
    "test_density_fillna(x_t, [\n",
    "    lambda: 0,\n",
    "    lambda: x_t.mean(),\n",
    "    lambda: x_t.median()\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule[nan_columns[23]] = x_t.median()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_t = numeric_train[nan_columns[24]]\n",
    "\n",
    "test_density_fillna(x_t, [\n",
    "    lambda: 0,\n",
    "    lambda: x_t.mean(),\n",
    "    lambda: x_t.median()\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule[nan_columns[24]] = x_t.median()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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vnh14tZ8teWzxhR2cbYuN1drneGNtymIl20eL5+zgsz2uJTUt2RkqVlTx6KOPNnwHsYpjq3a1Yga7HO1DwhUAEFGs4s6Olnc04WoJOwuSLHCzpE5riT57XNsskLKqUquC83p6WqWrsSPc3u28zao6rXdpIEvWWO/OQBY8mo703LTntQrBps/pLVDT9Hktodz0tu3pL9leVrlqycOWKhstgWeJOKs29F4TS3x1pOrA2gFYxa4lTq1ieP369S551xJLkllixz4XxgJDS0S2VOlpyfL29JG1pLH3ulkAb0llq9LweIlcC7ibsuR84HtrCWBLOtlnzh7LHtMq/kxLSWSbRmatLGysLSXwLFFllQ9eL1/7AmOPabf3Hs+Sg5Y0DNy8pKXHXi+b6td0anpLnz0bh72nTT9T1rOz6WfPY0lw62scOG1we6+fJV/teZr+2/Cm+rX13tk4bf+tcrTpOK1apOk47UtN04R803+blmi2KhYbU+BrbX15W3rv2sM+A03fC4/9m9reF0a7vqV/S96BAe/+3mlrtw3GF9Nnn31WU6ZMcdXB7alYtUSzfem299OSrwCAyK1utdldLbXS8Spc22LJU5u9YjGbxQuBBwcttvBaannsfNM+4XYQdHsxjP2tttjB21pb6NSqZ+1At8Vnlgxu6W+8tXqy5Grg43lxTOD0/5ZYLNjWWC2GsWIO+85gt/PWRmi6LoBVEwc+f9PrjT1O4G1amtFilbl2ncVMVixgcXRTlvC1eNJio8DHe//997e7v/gOLQUAABHFklEWkFjStSNsGr8lQK0PY9MFizyWFPMWqrJgy44w29QZm65s04u9qdDWS6qlI9QdHVN72fNa5Z6tQt4SL1HksTYI1o8ykDeNaUdZ8tTaGFgC1I7Wt5aIscoFq9QMZFUM7WGVipastffDNqtysEoJS6561aEe6/15xRVXuIDdEsD2/lllhVUhNmWJx2HDhm33+a0C0PrAmrKyMvc5sP5XVu1slZ4dSVbZ7a0/mX3urGrBglV7P+1zFbjgmccS45ZotvtZZW/TKgLrlWaX2XisjYC9VpY4tNfBezw7cOAldT32JSFw0TT7d9TSa9SUPaY9vo2ppQW2WkqCWkLRpttbIq7pZ9N0NNnnVZy2tbCTjdO+OARWOwfqTEW8JYttP2xapPUSts+7/Q6x176l96497DNkX2AsARzYVsBeM/u9ZJW327v/mjVrml3utRDw7u9NV/Qub3rb7T3P9li1v/17tBYXDz74YLvv57U+aWlxNABA+LNp5TYbJHDxxY7+jbeEnbWasb+ldpDTYuyOsnZWTWOdpiyJGjgjxf5+BsZCHktK2m1tLNYywNYosFZKgezgrdcWrKmW2vd4Vq9e7f7GtzVWe1yLT62lkv19ttfFZoQ0PUBr8XVgkrulfbEDxV5BhrF4vCmLSa2K2AoMLKa35/dircD9tbjPDpA2jf86swhuT0XCFQAQMaxay46cBzbFbw8L6qxC0aYsWUDVWsLVEm2BQYpNhbUki00j+tvf/uam0xhLlATerjUWMFlAGJh08qYdeUev28Oe1wKf9jynsYq8prdtb7JzeywAtdfQqjZbY9XBFjTaFCRrPWBJUgvoWjqC3lqlQWBlsPVptQDf+tZa4BeY2Lb3x5I+lmizoNKeo6XFAKzq1fp+WqJzeyywDHz97PHteazK2OtJ6SUtrdq5acLUe29t2r4tAnHzzTe7qlSPVyndEmsjYK+bfVatGtB6lgZWitgq9VZVcueddzaqWAxc8MESk4GLPxmb1heYNLfq08C+t2199qzC1fa5peRpSyw5bglFW9CiJYGvX+D7bP9e7LWxz08gm1JnSd+2EsQ2TpvablUw7fmyZ58F26/AKtem/zbttbZ+cdavNZC91i0tENUelnQ3M2fOdNMqPXbe9t+7vq37W/LcqsADq2U+++yzRo9vX9Ts34k9rn1mPfblzX6HBl7WUfZc1o7BDmzYF+6OHGjy+j13JgEOAAgtO2BoyUg7+GuxWkusD6kX+7TE/g5ZbGMLV9rfdUtwWjWldxDSEooWy1ms47Hz1jc/MO75/PPPt9u33g6S2owWT2t/rywusbY4dlsrWPjkk0+a3cbWWrBZbxYjdOTvnlWEWlzSdBFLj30nsXjIi5uNFXq0dtBye/tjMWDgbVqKiSyG8W5jBRQWQzetlrVYzDtA3JmFb+FHSwEAQMSwFa4t6bq9qUpNWdBnlZLtSTA1DQptypM3LdcqNi3JYZVvTVc9N7b6alOWrPVYgsfOJyQkdGgfLDliwZ/1y2rKkj/eokJdzY7828qxlkhrK6llySALgi1hbVOOLXnZ1tH/7bHX3BYes6ncgYlGjz2XJeXsiL0lS63as6n//Oc/bjp+0wRpe3hT+70j/BaEWkBrlX2BU7atQsISXNYWIPD2TVsDtLY6rPGCWqvqtaljlmQO7Hdpj9n08e69995GPXq9AweBm/X/NZbUs0ppry/r9lhPMXtO+zfU9HntfNODF1YRbAlyqzpurSLVPvs2fdDe08BKUQv4rX2E9/oZ+2zbF5xJkya1WVFh+2KvgVWiNmWP0XQFYjsIE7joln1mrWezJSy9cbf0Wtv0x5YqTO2LSnvadtjnz5L39u8okJ23Fg+W3A9MjNtjWs9kjy2YZvsZuDiffQat6tl65XoVpFb5bO+7VXzbe+Kx6nw7eNO0Ar69bEqnjdG+cNpCJq39Hmjpd6GNwz779kXPeusCAL5TuLJQ6xav6/LNnqez7MCmzZJorc2Tseu++OILF8dY3GZ/x+xvnP1NM5awtVlkFgPY1HY7mGszSTwWyz322GPuPnYQ1tpYWT956x9qvEWljPUT9VonWaxkfw870/LH7mdJXG+WkR20bKlvv83OsCn7tn9WpWtxuS3o1do6CXYb63F+4oknujjEG6ux8/Y9w+Iza8dlf9ftYLAtwGXtz7qSxUW2vxbD2SwuixmaLr5r74sVMthsFnv9ly1b5pLcVhDQtNc+WkeFKwAg7NmUF0sqWbWklwTxpv57LFFjQZhdbtPvA/u02vR0S+a0tlhN4PMEthSw5IQFJN7iOpb4swDQEnx2pNsSe1apZckWCz6sui4wwWqJL6uKtKP0lgyxIM5uZ1PfO1LhZcGnVT5aIsqmAFmywsZqFQFWhWeJ0M5W3Fm1W9NElgWOllSyo/KHHHJIw+V23ioPLLhsiwWlFvhaH9dgscSfJXDtM2BVEYEVwpYAsmDVkmG2UnrgVG1LVllPW6u6tASmrYq7Pbb/9r55SSJLZtnr7VVWW0WBLQphQaglSC0gtQSTfXmwig/7AuF9Xg4++GB3W0vQDxo0yH0WLWjdHqu8tNfPEoA2fnsMY58B+1xacGzVHpaIty9A7VmkzL4g2DR/+9xYi4nA97atylGrarYvUPY5s9fAKpxtHyxhae0rvC9Bxqbu2WextfYXxhKOloi36fp2EMO+iFjlo/3bsUpcq3Yxtl92G/vC5rV4aI3tiyWn7YuAfabtfbYDG/ZlzT4XVuFuycrALxL2WthrYr8r7AuH/Q4JbOFgr7V93uzzbp8de93s90jTvszGPgv272N7C2dZgtKSwvZvxJKetv+WqLffO5aoDmzTYa+HJboD20HY7xG7n70fVnViFSr/+Mc/3HvTtBLXHs/Gba+NvU82rdEOWNhr07TS257LvvxZItrY6223N1bJZJ83+7dg47XKbfud1PQLl31WrM2Ft0Dhiy++6KYpWg9k+4Jur7H9rrTPb+DvYvtda7/fjVcFb+OxaiPbAhceBIBoZL1Fp2hK9zzZXv7n6wyLiS0m8Q7itsT+vlqsY7GuHSy1v3v2t8sSlbbApB14s79r3iwN+5tgf/stvrZ+4BZn2N9s6/Nqs6ms+tT+Nnt/B+1ymzVlAis5PXYfS9h2hHeg1eIX+xvZ0mJgNtXf/kZZjGe3sSSttQGwv6feApstHWC2nvlz587VM8880+g6iy0slrX9susuu+wyl+i1ql+LJ1tqFxAs9jfcNntv7DktnmtpkU173S0GtBZX9r3AXh+btRZ4YBzb4QMAIMwtW7bMshjt3t599113v0cffdSdz8vL89XX1zd7PLvec8455zR6jNTUVN/EiRN9TzzxRLPx2OMfffTRvoyMDF9ycrJv1KhRvnPPPdc3c+bMRo/Xu3dv35IlS3xHHXWUr1evXr4BAwb4brzxRl9dXV2zsfzxj39s8zUoKyvzXXfddb7Ro0f7EhMTfdnZ2b7999/f96c//clXXV293ccaP36875BDDmm0D9t7HYcNG9Zwe/vZLnvhhRcaPa7tZ+Dtnn76aV9MTIzv9ddfb3Y7ez22x8ZoY23JypUr3ftyzDHHNLvuZz/7mRvfP//5z0aXr1692jdkyBDf5Zdf7ispKWl2P7uPvSed+Rz861//8u2xxx6+pKQkX9++fX1nnnmmb8WKFc2e/+STT/ZlZma6z8tpp53mKygoaPa89nNLYdnNN9/si4+P982ePdudLyoq8p133nnu/bex2edw4cKF7j2wsbflySefdJ+Zf/zjH43+PbTn9X/++ed9Bx54oHsPbdtpp518l156qS8/P7/RfW0f/vznPze6b2v7dv/997vHSUhIcP82fvrTn/o2bdrUcP0vfvEL38EHH9zss9TWYz700EO+Pffc05eSkuJLS0vz7bbbbr5f//rX7jX32Gt13HHH+d544w3f7rvv7t4/G8dzzz3X6LEqKyt9v/rVr3y5ubnu8Q444ADfJ5984vYz8N9S4L63l41z3Lhx7t+y/f6w16zpe+Lto/f7zLN161bfVVdd5cvJyXFj33vvvVt8jcwHH3zg3nP7PdWvXz/3npWWlja7nffvu6XNfq+05/dw4Ofvf//7n+973/ueG6O9v/b5t9+Db7/9drPnbutxA3+3AECks9/f8+fPd6foHPvbGBg/BbIYdXuxUHeyv2He39CmTjzxxGZ/3xF9/65j7H/bS8oCABBKVr1lR7ibLvzT2dt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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_t = numeric_train[nan_columns[25]]\n",
    "\n",
    "test_density_fillna(x_t, [\n",
    "    lambda: 0,\n",
    "    lambda: x_t.mean(),\n",
    "    lambda: x_t.median()\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule[nan_columns[25]] = x_t.median()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_t = numeric_train[nan_columns[26]]\n",
    "\n",
    "test_density_fillna(x_t, [\n",
    "    lambda: 0,\n",
    "    lambda: x_t.mean(),\n",
    "    lambda: x_t.median()\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule[nan_columns[26]] = x_t.median()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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hhRe2OxzNzl9//fWaN2+eiouL3VJZWenZawAQ394uedudTtIkzcifobmj52p082gFfUG9vOVlr4cHAJ4hzgMQ894OxXmbxo+Xpk+XpkzRikmTQte98oq3YwMAxBRPE7BLlizR7Nmz3WKsh5etX3PNNe78zp0724J0c8stt6ilpUXf+MY3VFBQ0LZcdtllnr0GAPGrtqlW63avc+uFCvUK8/l8mtw82a1v2rNJzYFmT8cIAF4hzgMQ0xoapNWr3erWiJ6wRYccoqCtlJRY42nvxgcAiCme9oA9+eSTFQy6P1+duvPOO9udf+GFFwZgVADQPUWlRQoqqNxArjL9mW2XZ7ZmKi2YpvrWem3cs1HpSvd0nADgBeI8ADHt3XelQEC7s7JUlZ3ddnFDSooq8vI0pKLCtSjQiBGeDhMAEBtirgcsAESLt0tDh6WNbhnd7nKbiGuEQsH4mvI1nowNAAAAB99+YJ1Vv/p87a4qyc8PrVgCFgCAbiABCwC9sKtul3ZU73DJ1o4JWJOvUGC+dvfa/VaAAQAAIMrs2SPtbZGybvS+cV5JuOp1wwb5AoGBHh0AIAaRgAWAXnin5B13OmnIJKUEU/a5fpiGKdGfqKrGKlUEKjwYIQAAAHrlnVCcpwkTVJeWts/VriVBVpbU3KzsnTsHfnwAgJhDAhYAesEqW81h+Yd1en2CEjQhd4Jb39q0dUDHBgAAgIOwfn3o9LDO4zzXkmDSJLeau5U4DwBwYCRgAaCHmlqbVFxT7NbDSdbOHDr0UHe6tZHAHAAAIBb4WlqkbdtCZ8aP7/qGh4bivDxLwNJuCgBwACRgAaCHSppLFFRQeal5yk55f1bcjiYPmexOS1tKVdtSO4AjBAAAQG9klpVJ1tc1M1MaMqTrGx5yiOT3K7W6Wik7dgzkEAEAMYgELAD00M7mUK+vcbnj9nu7nNQcl6C1ZO266nUDNDoAAAD0VnZx6CgnjRsXajXQleRkae9kXBmrVw/Q6AAAsYoELAD0UHFzKDAfl7P/BKwZmTHSna6pWtPv4wIAAMDBaZtUyxKwBzIyFOdlrCHOAwDsHwlYAOiB+pZ67WrZ5dbH5+6nL9heIzNDgfnqaiojAAAAopmvuVmZpaUH7v8aVlDgTtJJwAIADoAELAD0wDuV77iWAtZaICcl54C3H5lFBSwAAEAsyFi1SgnW/zU9XRo2rPsVsGvX9v/gAAAxjQQsAPTA8t3L3en4nPHy7a8v2F4FmaHKiI01G9UUaOr38QEAAKB3spcv717/17ARIxS0drC7dkklJf0+PgBA7CIBCwA9sKJihTsdmzu2W7e3KtlkX7Jagi16t/Tdfh4dAAAA+iQB2x3JyWrI2XtEVPi+AAB0ggQsAHRTQ0uDVlaubKuA7Q6rkh2aONStLy8mMAcAAIhKLS3KeuedniVgJdUODcV5JGABAPtDAhYAuumt4rfU1NqkVF+qhqQN6fb92hKwOwnMAQAAotJ77ymhrk6BpCQpP7/bdyMBCwDoDhKwANBNS3YscafDkoZ1q/9rGBWwAAAAUW7JkvcTqv7u/0yuIwELAOgGErAA0E1LdoYC8+GJw3t0v3AC9q2St9QabO2XsQEAAODgE7A1w4b16G5tFbDr1klVVf0xMgDAIEACFgB6WgGb2LPAPCchR8n+ZNU01Wj97vX9NDoAAAD02tKl7qS2hwnYltRUNYZbFrz1Vn+MDAAwCJCABYBuqG2q1cqyle0qWrvL7/NrYuZEt04bAgAAgCjT3CytWNGrBKy7z6GHhlZoQwAA6AIJWADohhXFK1z7gGEpw5SRkNHj+x+aHQrM3ynZO7suAAAAosPKlVJDg1oyMtSQnd3ju9dNmhRaKSrq+7EBAAYFErAA0IP2A1Ozp/bq/mMzxrrTtbvX9um4AAAA0EcTcE2dKvVgotWwhnHjQitr1vT1yAAAgwQJWADowQRcvU3Ajkkf405Xl6/u03EBAACgj/q/WgK2F+rHhOI8ErAAgK6QgAWAHlTATsuZdlAVsGvK1ygYDPbp2AAAANBHFbC90DA2FOdp506pqqovRwYAGCRIwALAAVQ1Vmn1rtUHVQE7Om20EnwJqmuu047qHX08QgAAAPRUY2Oj3nj5ZbXunYBrmd+vlkCgx48TyMqS8vNDZ9bSbgoAsC8SsABwgMD8nwv/qaCCGpE6QjvW7lCgpeeBeaI/UYfkHeLWaUMAAADgveXLl2vHj34kf3OzWpKTteKJJ7S7vLx3D3ZoaMJV2hAAADpDAhYADhCY3/TKTW49tTVVC55foPLdvQvMDx16aFsbAgAAAHhvZmurO00sLNTEIUN6/0BTpoROV7OjHQCwLxKwAHAADdkN7nTiqInKG5XX68eZMjQUmJOABQAAiA4Zu3aFVgoKDu6BqIAFAOwHCVgAOIBdLaHAfFTWqIN6nHAFLC0IAAAAoiwBO+rg4jwSsACA/SEBCwD7Ud1crapAaDbbgqyDq4ygBQEAAED08DU1Kb2iom8SsJEtCILBgx8cAGBQIQELAPuxuipUrZqbmqv0pPRePUagOaCioiLVbK5x5zdWbNTLr73sJvgCAACAN9LXr5ffesCmpUk5Ob16jKZAKM57o6xMQb9fqqnR0scfJ84DALRDAhYA9uO9qvfc6ajM3ldFlG8r14JFC/Tou48qyZekQDCgax69xk3wBQAAAG9krFr1fvWrz9erx1hTXq6KBQsUvOsuNWZkuMuK588nzgMAtEMCFgD2Y1Xlqj5pP5BXmKcxh43RsIxh7nxiQWKfjA8AAAC9k/nee30yAdeUvDwdU1io1BEj3PlpVgkLAEAE/jIAQHcqYA9yAq6woWlD3Wm4rywAAAC8kRFOwB5s/9ewoaE4L7Wysm8eDwAwaJCABYAulNeVa0f9DrdekHlwlRFhQ9KHuNM9gT198ngAAADohfp6pW3Y0C8J2DQSsACADkjAAkAXlu5c6k6zE7KVlpTWJ485LC3UgoAKWAAAAA+9/bb8gYCaUlOl7Oy+rYCtIs4DALRHAhYAurBkxxJ3OiwxlDTtC0PSQhWwJGABAAA8tCQU59UOG9brCbi6SsCmWAK2paVvHhMAMCiQgAWAAUzA5qXludO61jo1BBr67HEBINq89NJLOvvsszVq1Cj5fD49+uijB7zPCy+8oCOPPFIpKSmaNGmS7rzzzgEZK4A4T8D2lawsye+XPxhUcllZ3z0uACDmeZqAJTAHEG8J2LTENCUnJLv14vriPntcAIg2tbW1mjlzpm666aZu3X7jxo0666yzdMopp2jFihX69re/rS996Ut6+umn+32sAOLQ0qV9n4D1+6XcXLeaunNn3z0uACDmJUZDYP5///d/+sQnPtHtwPyrX/2q7r77bi1cuNAF5gUFBTrjjDMGZMwA4kNpbam2Vm2VTz4NTQwdTtYXbGdTbmque/zX33td4zPHt103e/Zst3MJAAaDM8880y3ddfPNN2vChAm6/vrr3flp06bplVde0e9//3viPAB9q65Oevddt1rTlwlYYwnY3btV9uabWrRoUdvFxHkAEN88TcASmAOIVkt3hKoixmaMVbI/VLHaV/JS81wC9vF1j6vWX+suK91Yqqt0lY455pg+fS4AiBWvv/66TjvttHaXWXxnlbAA0KdWrJBaW9U0dKiaMzL69rH3VsAmLVwoJSS49aLSUukq4jwAiGeeJmAHIjBvbGx0S1gVM1IC6EH7ganZU6U+nkPBKmBDK1Lh9MK+fXAAiFHFxcUaMWJEu8vsvMVu9fX1SktL2+c+xHkADqr/69Spff/YexOwY4JBjSkkzgMAxOAkXAcKzDtz3XXXKScnp20ZM2bMAI0WQCxbsjMiAav+ScDWqa7PHxsA4glxHoCD6f9aM21a3z92XmjC1XRrcwAAQCwmYHvjyiuvVGVlZduydetWr4cEIIYqYKfl9H1gbi0IDAlYAHjfyJEjVVJS0u4yO5+dnd1p9ashzgMQrRWwJGABADHbgqA3gbk1OqfZOYCe2FG9wy1+n1+TsybrTb3Zp49PBSwA7OvYY4/VE0880e6yZ5991l3eFeI8AD1WUyOtWvV+Anbvel9XwKY2NEgtLVJiTP3kBgD0k5iqgLUAfKE1M+9BYA4AvZ2Aa9qwaUpPTO/zxw8nYJt9zWpseb93IQAMJjU1NVqxYoVbzMaNG936li1b2qpXL7zwwrbbf/WrX9WGDRv0/e9/X++9957+8pe/6P7779d3vvMdz14DgEFo+XIpGJRGj1bz0KF9//jp6WpOSJDP1isr+/7xAQAxydMELIE5gGhuP3DUqKP65fFTElOUFExy6xUNFf3yHADgtSVLlmj27NluMZdffrlbv+aaa9z5nTt3tsV8ZsKECXr88cfdzvWZM2fq+uuv12233eYmXAWAvu7/qqP6J86Tz6fq9L078Pfs6Z/nAADEnESvA/NTTjml7bwF5uaiiy7SnXfe2WVgbgnXP/zhDyosLCQwB9BvE3C5BGxr/zxHemu6KhMqtadhj0ZmjuyfJwEAD5188skKWpVZFyzW6+w+y606DQD6uf9rvyVgrdAoPV1DqqulCna0AwCiIAFLYA4g2th3UrsK2G39m4ClAhYAAGBwJWCpgAUAxHQPWADob9uqtqm0tlQJvgTNHDGz354nPRgKzK0CFgAAAAOgqkpasya0PmdOvz1NdXiCaBKwAIC9SMACQIRw9euM/BlKS9obPPdTBazZU09gDgAAMCCWLQtNwDVmjDR8eP9XwNKCAACwFwlYANirsbFRj7z5iFsfmzhWixYtUlFRkQItgX6rgKUFAQAAwMBoee01d1o+aVJbnNcS6Ps4jxYEAICo6gELANHE+ks/ufZJ9824u3K3blt2m1a/ulp5k/M0TuP6pwK2Yc9+e2EDAACgb1T+738aapNk1dRIt92m9atXKz8vTxo3rn8SsHV1UlNTnz42ACA2kYAFgL0CwYAqkyqloDRjygyNzByp0o2l/fJcacFQe4Pm1mbVNdf1y3MAAADgfZkrV7rTcdOna1xhoYpK+yfOa05KUlNSkpKbm6mCBQA4tCAAgL221G5Rc7BZSf4k5Wfk9+tzJShBqcFUt85EXAAAAP1s506llJQo6PNJo0b1+9PV0QcWABCBBCwA7PVu5bvutCCrQH5f/389pilUBUsCFgAAoJ+9+aY7qc/NlZKT+/3p6tL2TuZKBSwAgAQsALxvZWXosLTRWaMH5PnSFaqMqGysHJDnAwAAiFtvvOFOaoYPH5Cnqw9XwFYS5wEASMACwL4J2OyBScCGK2BJwAIAAPSzxYsHNgEbroCtqhqQ5wMARDcSsABgQXJzvdZVr3PrhVmFA5uAbSABCwAA0G9aW9taEAx4ApYKWAAACVgACFlevFyBYEBpvjRlp2QPyHNSAQsAADAA1q51idBASorq8/IG5CnbesCSgAUAkIAFgJA3toX6gg1PGi6fzY47AKiABQAAGLj2A7VTpijo9w9sBWx1tXyBwIA8JwAgepGABQCLy3eEAvPhiQNzWFpkAra+pV7NweYBe14AAIB4nICrdvr0AXvKpuRkKTHRrSfX1Q3Y8wIAohMJWACQ9PrW19sqYAdKkpKUkpDi1msDtQP2vAAAAHHl9VCcV3PYYQP3nHZEVU6OW02pqRm45wUARCUSsADi3raqbdpcuVl++Qe0AtbkpIYC85pWAnMAAIA+V10trVgRWj3iiIF97r0J2GQSsAAQ90LHRABAHGpsbNTy5cv1v53/c+cLkwqV0JowoGPISclRaW2pagIE5gAAAH0d52UvXqzpra1qHDlSy0pLNXUg+7FmhyZ2pQIWAEACFkDcsqB8/kPztX74ene+ubRZ5U3lGqdxAzaG7JRQYF7bSgsCAACAvozziubP1xnbtrnz1enpWr9ggfLz8qRx4wa2AraWOA8A4h0tCADEtfwJ+apIqHDrBWkFA/78bS0IqIAFAADoUzPy8zWmstKtD5syRRMt+TqQ6AELANiLBCyAuNbU2qTimmK3PiQwZMCf31oQGCpgAQAA+lhrq7S3AlZjxw7881MBCwDYiwQsgLhW1lKmoIIuEZoWTBvw589NzXWnVMACAAD0rfSKCqmpSUpOlvLzB34AubnvV8AGgwP//ACAqEECFkBcK2kucadjczyoiuhQAdsabPVkDAAAAINRVkkoztOYMZLfg5++eyfhSmhpUWJV1cA/PwAgapCABRDXwgnYMTljPHn+rJQs+eRTq1pV3ljuyRgAAAAGfQLWC4mJUkaGW00uDrW8AgDEJxKwAOJWS2uLa0FgxmZ7UwHr9/ldEtaUNOz9kQAAAIDYT8BGTsQVHgsAIC6RgAUQt9ZWr1VzsFkpCSkanjHcs3GE2xAUN1AZAQAA0BeSd+5Uik1+5fNJhYXeDSQ8ERcJWACIayRgAcStN8rfcKfjc8e7SlSv5KSGAvOSegJzAACAvpC7eHFoxZKvNgmX1xWwtCAAgLhGAhZA3Fq8KxSYTxwy0dNxhCtgaUEAAADQN3LeCO1o10Rv4zxaEAAADAlYAHGpurFab+95261PzPM4Abu3Ara4nsoIAACAgxYIKGfJkqhKwDIJFwDENxKwAOLSC5teUCAYUJY/S0PShng6FnrAAgAA9KE331RidbVarPXAqFHejoUKWACApESvBwAAfaGxsVHLly9vd9ns2bOVkpLS6e2fXv+0Ox2dPFpeowUBAABA38V5euYZd1I5apSG+v3RUQG7a5e9EKmrMQMABjUSsAAGBQvK5z80X/kT8t350o2lukpX6Zhjjun09s+sfyZ6ErB7WxBUNVeppqlGmcmZXg8JAAAgquK8ovnzNSM/FOcVlZZKV3Ud57UlYEeP1lB5LD1drQkJ8gcC0vbt0iGHeD0iAIAHSMACGDQs+Vo4vfCAt9tYsVFrd69Vgi9Bo5I8PixNUmpiqpJ8SWoONmtr5VZNGz7N6yEBAABEFUu+HlN44DhPlZXSokWh1dHe72iXz6fGzEyl2bi2bCEBCwBxih6wAOJOuPp1Rs4MJfuTFQ0y/aGq1y2VW7weCgAAQOx67jk3CVf92LFqzMpSNGjMyAitWAIWABCXSMACiDsPrHzAnR4zrIvD1jyQmUACFgAA4KA9EIrz9nTVnsADTZl720uRgAWAuEUCFkBcWb97vRZuXCiffDpj1BmKFhn+UGXE5srNXg8FAAAgNpWXSw895FZ3nXmmooW1IHA2E+cBQLwiAQsgrty+/HZ3evrE01WQVqBoQQUsAADAQbr7bqmpSZo1S7VTpihaNNGCAADinucJ2Jtuuknjx49Xamqq5s2bp8WLF+/39jfeeKOmTJmitLQ0jRkzRt/5znfU0NAwYOMFELtaWlt0x4o73PqXjvySogk9YAEMVsR6AAZEMCjdemto/ZJL3ORXUVcBSwIWAOKWpwnY++67T5dffrmuvfZaLVu2TDNnztQZZ5yh0tLSTm9/zz336Ic//KG7/apVq/T3v//dPcZVV1014GMHEHv+vfLf2lmzU7lJuRqxZ4SKiooUaAkoGmQkhCojSMACGEyI9QAMlKZXX5WKitSanKw3J092cV5LIBB9CVhLFAMA4o6nCdgbbrhBl1xyiS6++GJNnz5dN998s9LT03X77aFDhDt67bXXdPzxx+uzn/2sq6Q4/fTT9ZnPfOaAlRQAYH7/0u/daWFioRasWKAFzy9Q+e5yRVMF7LaqbQq0RsePBQA4WMR6AAZKxe9+507Lx45V4L77tH7BAu22nrBRoCk9PbRSVyft3u31cAAA8ZSAbWpq0tKlS3Xaaae9Pxi/351//fXXO73Pcccd5+4TDsI3bNigJ554Qh/5yEe6fJ7GxkZVVVW1WwDEn8fXPK5Xyl5x6yfNOEmF0wuVNypP0SLdn64EX4KaW5tVUlvi9XAAICZiPeI8AM6iRRr++ONudfjxx+uYwkJNzIueOC+YmKimoUNDZ2hDAABxybME7K5duxQIBDRixIh2l9v54uLiTu9j1RA/+9nPdMIJJygpKUkTJ07UySefvN/D0q677jrl5OS0LdZLDEB82VCxQRc8coFbn5Y6TcPShyna+H1+DU8Z7tY372GGXACxbyBiPeI8ALKWJp/8pPwtLSofP14aN07RqCn8XbiZOA8A4pHnk3D1xAsvvKD58+frL3/5i+sj9vDDD+vxxx/Xz3/+8y7vc+WVV6qysrJt2bp164COGUD/sKqnRYsWtS2d9XMNBoN6b9d7Ou/+87SnYY9m5MzQvMx5ilYjUkOBOX1gAcSrnsZ6xHlA/MR5nfZz3bhROv98aft21Y8bp/UnnhhVk29FagwnYKmABYC4lOjVEw8bNkwJCQkqKWl/qK2dHzlyZKf3ufrqq/X5z39eX/pSaPbyww8/XLW1tfryl7+sH/3oR+6wto5SUlLcAmBwWb58ueY/NF/5E/Ld+dWvrlbG5Ayt37heFfUV7of4Uy8/pe3PbHfXD08frl/O+qWbiCtajUgbIe0hAQtgcBiIWI84Dxi8cV7R/PmakR+K89avXq2CrKxQ9WhZmQ6tqlLa//73fjVpZqZW/+pXarXLolRj+HuPBCwAxCXPKmCTk5M1Z84cLVy4sO2y1tZWd/7YY4/t9D51dXX7BN4W2Icr3QDEF0u+Wi9XW5rGNOkFvaCXt7ysorIibW3aqu3125WckKzTJ56uJz/3pPJTQ0F8tKICFsBgQqwH4GBY8tV6udpyQiCgk198UXr+eamoSEO2bFGaJV/t++Gkk6T//EcN1n4girW1ICABCwBxybMKWHP55Zfroosu0lFHHaW5c+fqxhtvdFUONlOuufDCCzV69GjX38ucffbZbjbd2bNna968eVq3bp2rlLDLw8E5gPjz2tbXtDgtNGHL0LShmlMwR3WldTr30HP1lTO+oszkTHfdoi2LFM1GpoYqI7ZUEZgDGByI9QActBUrdFZ44r7sbGnuXG2or1fzxz6mKV/+spSbG7puUXTHebQgAID45mkC9vzzz1dZWZmuueYaNxnDrFmz9NRTT7VN1rBly5Z2VRA//vGP5fP53On27ds1fPhwF5D/8pe/9PBVAPBSdWO1nt/0vFufEJygz8z5jJISkrStepuOH358W/I1FrgWBFTAAhhEiPUAHJTGRunZZ93qlsJCjb3gAus9otJt26QPfOD95GsMaKIFAQDENU8TsObSSy91S1cTMURKTEzUtdde6xYAMC9uflEtrS3KC+TpMP9hLvkaq8IVsJv3MDsugMGDWA9Ar1nla12d9mRk6K2ZMzU2hns+t/WA3bkzlFiO4dcCAIihHrAAcLAqWyq1bOcytz6tcZp8is5Zb7trZFooMK9oqHCVvQAAAPEqqb5eeu01t75k6lQFO5lwOZa05ORIaWmhM1bBCwCIK7H9VwxAXFtat1RBBTV5yGQNbR2qWJeRmKGclBy3vrVqq9fDAQAA8MzoFSuk5mZp1ChtKihQzPP5pLFjQ+u0IQCAuEMCFkBMKq4v1sbGjW791AmnarAYmxMKzOkDCwAA4lVCba3y33svdOa000LJy8GABCwAxK1eJWA3bNjQ9yMBgB54ufTltoTliMy9s8oOAiRgAXiNOA+A13Jff13+1lZp6FBpwgQNGiRgASBu9SoBO2nSJJ1yyin65z//qYaGhr4fFQAcwEulL7nTKUOnaDAhAQvAa8R5ALyW91IoztOUwRXnkYAFgPjVqwTssmXLdMQRR+jyyy/XyJEj9ZWvfEWLFy/u+9EBQCcq6iu0vGK5W586bKoGk3E549wpCVgAXiHOA+Cp5mZXAetMHVxxnsaF4jwSsAAQf3qVgJ01a5b+8Ic/aMeOHbr99tu1c+dOnXDCCZoxY4ZuuOEGlZWV9f1IAWCvJ9Y+oUAwoNyEXA1JG6LBWAG7uXKz10MBEKeI8wB46sUXlVhTo6bUVGn0aA3KCtjNxHkAEG8OahKuxMREfeITn9ADDzygX//611q3bp2uuOIKjRkzRhdeeKEL2AGgrz22+jF3Oi5lbxXBIEILAgDRgjgPgCcefdSd7LFkpd8/eFsQBINejwYAMIASD+bOS5YscZUR9957rzIyMlxQ/sUvflHbtm3TT3/6U51zzjkcsgagTzW2NOrJdU+69XHJXSdgA80BFRUVtbvMzgdaAoqFBOy2qm0KtAaU4E/wekgA4hRxHoABZ0nJf//bre4eN075XdysKRDQmk7ivKmB6I7zVFgYOq2vl8rLpWHDvB4RACCaE7B2+Nkdd9yh1atX6yMf+Yjuuusud+rfu4dywoQJuvPOOzV+/Pi+Hi+AOPfcxudU01SjYSnDNCyx66C1fFu5FlQs0JSm9ydvWP3qauVNztM4RW/lbEFWgRJ8CWppbVFxTbFGZw+yQ+8ARD3iPACeWb5c2rpVgdRUVY4a1eXN1pSXq2LBgnaTdK1fvVr5eXnv91mNRikp0siRUnFxqAqWBCwAxI1eJWD/+te/6v/+7//0hS98QQUFBZ3eJj8/X3//+98PdnwAoMbGRi23gFzSgvcWuNPpCdPVGmjd7/3yCvNUOH1vpYGk0o2linaJ/kSXdLUWBLaQgAUw0IjzAHgV54266y7ZsUBbp05Vs8+33/tNycvTMeGKUquALY3+OK+tDUE4AXvkkV6PBgAQzQnYZ599VmPHjm2rhAgLBoPaunWruy45OVkXXXRRX40TQByzoHz+Q/OVPyFfz1U85y4rXl+snJE5UV3N2lvjcsa1JWCPHXOs18MBEGeI8wAMdJxXNH++ZuTnK/PZZ91lRZWVarVD9KO5mvVgErDWvsUSsACAuNGrruYTJ07Url279rl89+7d7rA0AOhrlnwdMWWEygPl7vyY7DEarMJ9YDdXMkMugIFHnAdgoFny9ZjRozVk73dPYPQgPgIonFTeTJwHAPGkVwlYq4DoTE1NjVJTUw92TADQqZ01O9UabFVmcqbSgmka7AlYq4AFgIFGnAfAE7t3S3V1UkKCyrOzNWhZBayhAhYA4kqPWhBcfvnl7tTn8+maa65Renp623WBQEBvvPGGZs2a1fejBADrB1a5ta361bd7/33BYhkJWABeIM4D4KmtoThPo0apNSFBgxYJWACISz1KwIabo1tlxDvvvOP6f4XZ+syZM3XFFVf0/SgBwOLyqlBgXpj9/oQLgxEJWABeIM4DEBUJ2DGDt82UQwIWAOJSjxKwzz//vDu9+OKL9Yc//EHZg/nQEABRxU3+UvV+BWyZyjRYkYAF4AXiPACe2rbt/QSstSIY7AnY4mKpsVFKSfF6RACAaO0Be8cddxCUAxhQ1a3VqmuuU4IvQQVZBRrMwgnYioYKVTdWez0cAHGGOA/AQEuwRGRpaehM4eA+0klDh0ppae2TzgCAQa/bFbCf+MQndOedd7qA3Nb35+GHH+6LsQFAm5LmEnc6KmuUEv09Kt6POdkp2cpNzdWehj2u6nf68OleDwnAIEecB8BLmWV7j2zKy5MyMzWo+XzSuHHSe++F2hBMnOj1iAAAA6DbWYycnBw3KUN4HQAGUmlzaVz0f42sgrUE7OY9m0nAAuh3xHkAvJQVrn4d7P1fI9sQWAJ282avRwIAiLYErB2O1tk6AAxkAnZMzpi4ScC+XfI2fWABDAjiPABeyiwpib8ErGEiLgCIG73qAVtfX6+6iMbomzdv1o033qhnnnmmL8cGAE5joFEVgQq3PjprtOLB2OxQYL65ksoIAAOLOA/AgAoGlVFeHlofPTq+ErBUwAJA3OhVAvacc87RXXfd5db37NmjuXPn6vrrr3eX//Wvf+3rMQKIcxtrNiqooNIS05SVnKV4MD53vDvdtGeT10MBEGeI8wAMpOSyMiXZJFzWBmX4cMWF8aE4T5uI8wAgXvQqAbts2TKdeOKJbv3BBx/UyJEjXXWEBet//OMf+3qMAOLc2uq17nRk5si2HoWDTaA5oKKiIi1atMgtzWXN7vINFRu8HhqAOEOcB2Agpa8NxXku+Zo4OCdabQq0j/Pe3XuUQXD9eq+HBgAYIL36C2eHpWVlharQ7HA0my3X7/frmGOOcQE6APSlddXr3OmIjBEarMq3lWtBxQJNaZrizq/ZvEZKlzbu2ej10ADEGeI8AJ4kYEcM3jhvTXm5KhYskKaE4ryG2trQFdu2SS0tgzbxDAA4yArYSZMm6dFHH9XWrVv19NNP6/TTT3eXl5aWKjs7uzcPCQAHrIAdkTl4A3OTV5inwumFbhk3Zpy7rLS2VLVNe4N0ABgAxHkABlLGunWDPgFrpuTl6ZjCQrfMOfRQtSYkyBcISFu3ej00AEC0JmCvueYaXXHFFRo/frzmzZunY489tq1KYvbs2X09RgBxLBgMtlXAWguCeJHiT1FmYqZbpw8sgIFEnAfAkwrYkfET51m/28bMUJynjRztBADxoFfHOnzyk5/UCSecoJ07d2rmzJltl5966qn6+Mc/3pfjAxDntlZtVXVLtfzya3h6nEzMsFdBWoGr/rU2BIflH+b1cADECeI8AAOmtlap4QrQQV4B21FjVpbSKitJwAJAnOh1sxmbkMGWSDZLLgD0pbeK33KnuQm5SvAnKJ6MShsVSsBWEJgDGFjEeQAGRFGRfMGgmtLSlByuCI0TDeHXu4EJVwEgHvQqAVtbW6tf/epXWrhwoesH1tra2u76DfwRAXAQGhsbtXz5crf+3/X/dad5CXmKN5aANRsq+E4FMHCI8wAMVJyX/+ijOsS+d/LylCzFXQWsQwUsAMSFXiVgv/SlL+nFF1/U5z//eRUUFMjn8/X9yADELQvK5z80X/kT8rWwcqG7LKUxRfFmVHooAWstCABgoBDnAejvOK9o/nzNyM9X+muvucvK09IUb7vaScACQHzpVQL2ySef1OOPP67jjz++70cEAFYRMSFfhdMLVbW4yp3PVnbcVsCSgAUwkIjzAPQ3S74eU1go1dS485XZ8RfnNZCABYC44u/NnfLy8jRkyJC+Hw0ARGgKNGl3/W63HtcJ2IqNCgaDXg8HQJwgzgMwICy2KSlxq1VxmIBtq4C1bVBX5/VwAADRmID9+c9/rmuuuUZ1/KEA0I9KakJBeUpriuy/eDMyLTQBTnVTdVsiGgD6G3EegAGxZ4/U1KSA36+aOJuAywRSUtQSft2bNnk9HABANLYguP7667V+/XqNGDFC48ePV1JSUrvrly1b1lfjAxDHSmpDCdjs1mwpQXEnNSFVIzNHqrim2LUhGJo+1OshAYgDxHkABkRxsTupyMxU0N+ruqCY11hQoMS1a212Q2n6dK+HAwCItgTsueee2/cjAYAOLPFoclpz4jIBaybkTgglYCs26qhRR3k9HABxgDgPwIDY235gd06O4lXjqFHKsAQsfWABYNDrVQL22muv7bMB3HTTTfrtb3+r4uJizZw5U3/60580d+7cLm+/Z88e/ehHP9LDDz+s3bt3a9y4cbrxxhv1kY98pM/GBCAKK2DjTKA5oKKiorbX/sJbL2hM9RjNnj1bKSnx144BwMDpyzjPEOsB2F8CtjwO+7+apkBA25OTZR23d772mjYffTRxHgAMYr0+1sOC49tuu01XXnmlC47Dh6Rt3769249x33336fLLL3eBvt3XgvIzzjhDpaWlnd6+qalJH/rQh7Rp0yY9+OCDWr16tW699VaNHj26ty8DQJSySafCPWCzA/EXmJdvK9eCRQtUUhnaBs9tfU7zH5qv5cuXez00AHGgL+I8Q6wH4EAtCHbHaQJ2TXm5Stavd+spr7+uovnEeQAwmPWqAvbtt9/WaaedppycHBcgX3LJJW62XKtU2LJli+66665uPc4NN9zg7nvxxRe78zfffLMef/xx3X777frhD3+4z+3tcvsR8Nprr7X1I7PeZAAGn+rWajW3NivBl6CMYIbiUV5hnoYUDtGKNSvUnNas/An5Xg8JQBzoqzjPEOsB6ExCU1NoEq69Cdh4bUKQOWyY6/86pKFBM/KJ8wBgMOtVBaxVMnzhC1/Q2rVrlZqa2na5HRr20ksvdesxrMJh6dKlLsBvG4zf786//vrrnd7n3//+t4499lh94xvfcBNDzJgxQ/Pnz1cgEOjyeRobG1VVVdVuARD9ylvK3Wl+Rr78vS/Wj3m5qbnutKKhwuuhAIgTfRHnDVSsR5wHxKb0vZX1ys5WY3Ky4lVdenpopaLCDv/yejgAgH7Uq6zGm2++qa985Sv7XG6Hh1l/r+7YtWuXC6YtuI5k57t6jA0bNrjD0ex+TzzxhK6++mo3U+8vfvGLLp/nuuuucxUc4WXMmDHdGh8Ab+1uCQXmIzLbf0fEm7y0PHda2VDp2jIAQH/rizhvoGI94jwgxhOwHb4f4jYB29SkxMZGr4cDAIi2BKw1Bu+swmDNmjUaPny4+ktra6vy8/N1yy23aM6cOTr//PPdJA12OFtXrHdZZWVl27J169Z+Gx+Avk/AjswYqXiWnZItn3wKBAOqa63zejgA4oBXcV5vYj3iPCA2kYANaU1IkDIz3XpKdbXXwwEARFsC9mMf+5h+9rOfqbm52Z33+XyuJ9gPfvADnXfeed16jGHDhikhIUEle2e/DLPzI0d2nnApKCjQoYce6u4XNm3aNFdFYYe5dfUjIjs7u90CIPpRARvi9/mVkxrqjFYdIDAH0P/6Is4bqFiPOA+ITRnloVZT6uK7IK7khtpNpdTUeD0SAEC0JWDtULCamhpXBVFfX6+TTjpJkyZNUlZWln75y1926zGSk5NdZcPChQvbVT3Yeev91Znjjz9e69atc7eLrMawYN0eD8DgUNVcpZrWUBA6IiO+E7AmLzWvbWIyAOhvfRHnGWI9AJ0KBJRmPU8NCVgpLxTnUQELAINbYm/uZD22nn32Wb366qt66623XJB+5JFHtptkobuTPFx00UU66qijNHfuXN14442qra1tmyn3wgsvdP3GrL+X+drXvqY///nPuuyyy/TNb37TTQ5hEzN861vf6s3LABCl1lWvc6c5KTlKS0pTvAtPxEUFLICB0FdxniHWA9BR6tatSrCJ9ZKSQsnHzZsV1/ZWwKaSgAWAQa3HCVirSLjzzjv18MMPa9OmTe6wtAkTJrhDyWyCGDvfXdbXq6ysTNdcc407tGzWrFl66qmn2iZrsMPdbLbcMJtY4emnn9Z3vvMdHXHEES5gtwDdDokDMPgSsCMzqYpoVwFLAhZAP+vLOM8Q6wHoKGNdKM5Tfr4U8e8/blEBCwBxoUcJWAu8rS+YzUo7c+ZMHX744e6yVatW6Qtf+IIL1h999NEeDeDSSy91S2deeOGFfS6zQ9YWLVrUo+cAEFvWVq91p7QfCMlN21sBSwsCAP2oP+I8Q6wHIFL62lCcF+8TcO3TA5YELAAMaj1KwFpFxEsvveR6d51yyintrnvuued07rnn6q677nKHkwHAwVbAxvsEXB0rYGsCTM4AoP8Q5wEYCOnhClj6v7avgLVJuCL6XwMABpceHfPxr3/9S1ddddU+Qbn54Ac/qB/+8Ie6++67+3J8AOJMS2uLNtRscOu0IGjfA7a2tVZNrfvOAg4AfYE4D8BAoAK2g+xsyeeTv7VVybt2eT0aAEA0JGDffvttffjDH+7y+jPPPNNN1gAAvbWmfI1LMib5ktoqP+NdRlKGkvxJbr24vtjr4QAYpIjzAPS78nKllJWF1knAhlgf3HAbgh07vB4NACAaErC7d+9umzShM3ZdRUVFX4wLQJx6qzj04z4vIa/Hk70MVrYdwlWwO+oJzAH0D+I8AP1u706chqwsKSXF69FEj3ACdvt2r0cCAIiGBGwgEFBiYtdtYxMSEtTS0tIX4wIQp94qCQXmQxKHeD2UqBKuBiYBC6C/EOcBGKgEbN0Q4rzOErCpO3d6PRIAQDRMwmUz4dosuCld7K1sbGzsq3EBiFMkYDuXmxYKzHfWEZgD6B/EeQAGKgFbO2SIiPQ6mYiLFgQAMGj1KAF70UUXHfA2zIwLoC9aEJCAbY8WBAD6G3EegH5HBez+WxBQAQsAg1aPErB33HFH/40EQNwrqy3Tzpqd8slHAraLFgQ76wnMAfQP4jwA/aq5WVq50q3WDR3q9WiiCxWwADDo9agHLAAMRPuB0emjleRL8no4UYUesAAAIKa9957U1KSWjAw1ZmZ6PZqoTMAml5VZvxevRwMA6AckYAFEXfuByVmTvR5K1LYgqGyuVFVjldfDAQAA6F37gUmTJJ/P69FEl/R0BRIT5QsGpc2bvR4NAKAfkIAFEDVWlKxwp5OyJnk9lKiTkpiiFF9oYpyNFRu9Hg4AAEDPrFjxfgIW7fl871cFbyTOA4DBiAQsgKhBBez+ZSVkudONewjMAQBAjFbATibO60xjVijOIwELAIMTCVgAUaGxpVGrdq1y61TAHiABSwUsAACIJXZo/d4EbC0VsJ1qIAELAIMaCVgAUcGSry2tLa7X6cjUkV4PJypl+UOB+YaKDV4PBQAAoPuKiyWbYMrvV/3EiV6PJrorYDcQ5wHAYEQCFkBUWLpjqTs9suBI+ZiYYb8VsBv2EJgDAIAYsjQU52naNLWmpno9mqhEAhYABjcSsACiwrKdy9zpkSOP9HooUYsWBAAAICYtC8V5OpI4ryu0IACAwY0ELICosKx4bwK2gMC8O5NwtQZbvR4OAABA95CA7X4FbEVFaAEADCokYAF4znq/vlUcmphhzqg5Xg8namX6M+WXXw0tDSquKfZ6OAAAAD1LwM4hzutKa1KSmvLyQmeoggWAQYcELADPvbfrPdW31CszOVOThjAzblf8Pr9GpI1w67QhAAAAMcEm39q6NbQ+a5bXo4lqjaNHh1ZIwALAoEMCFoDn3tjyhjudlDFJi99YrKKiIgVaAl4PK+oEmgPKac1x688seUaLFi1SY2Oj18MCAADoUtMboTivfuxYLXr3XRfntQSI8zpqCgRUkp7u1jc//zxxHgAMMiRgAXjumXeecafNDc26bdltWvD8ApXvLvd6WFGnfFu5KspDPcH+s/4/mv/QfC1fvtzrYQEAAHSp+PHH3WltYqJ0221av2CBdpcT53W0prxcZTt3uvXUhQtVNJ84DwAGExKwADy3umq1O508brIKpxcqb9Te/lfYR15GaNu0ZrUqf0K+18MBAADYr4zVoThv2MSJOqawUBPDfU6xj9QhQ9zpiOZmzcgnzgOAwYQELABPtQZbtaZ6jVsvyCzwejhRL12hQ9MqGpgdFwAAxE4CVgXEeQdSt7cFgSqI8wBgsCEBC8BTa8vXqj5QrwQlaFj6MK+HEzsJ2HoCcwAAEOUqKpS6Y0donQRs9xOwlZVSa6vXwwEA9CESsAA8tXTnUnc6NHGo/D6+krqbgK1uqlZLsMXr4QAAAHRtbw/ThqwsKTXV69FEvfq0NMnvlwIBJdfVeT0cAEAfItsBwFNLd7yfgMWBJdt/CcluvSZQ4/VwAAAAurY0FOfVDiXO6xafT8rJcasp1dVejwYA0IdIwALw1OIdi93p8KThXg8lJvjkU25qrluvDhCYAwCAKPbGG+6kZjhxXrftnaQslQQsAAwqJGABeKaltaWtAnZ4IoF5d+WlhgLz6lYCcwAAEMUWh3a0k4DteQKWClgAGFxIwALwTFFpkepb6pWZmKmchNDhVuhBApYKWAAAEK127pS2blXQ71ftMCZa7bbc0JFOJGABYHAhAQvAM29sCx2WNi1nmnzW8wrdkptGCwIAABAb7QfqJkxQa1KS16OJHbQgAIBBiQQsAM8s3h46LO2wnMO8HkpMoQUBAACIlfYDtdOnez2S2EILAgAYlEjAAvDMG9tDlRHTcwjMe9uCIBgMej0cAACArifgOowd7b1JwCbX18vf0OD1aAAAfYQELABPVDVWaWXZSrdOBWzP5KaGWhA0B5tV1Vzl9XAAAADaa22V3nzTrZKA7aHUVCklxa2mWB9dAMCgQAIWgCeW7liqoIIalzNOQ1KGeD2cmJKUkKTM5Ey3vqN+h9fDAQAAaO+99yQ7hD49XXXjx3s9mthi8yKE2xBs3+71aAAAfYQELABP2w/MK5zn9VBiug3B9noCcwAAEJ3tB3TUUVJiotejid2JuHawox0ABgsSsAA8nYBr7qi5Xg8lphOwO+oIzAEAQHROwKW5xHm9khtqN5VCAhYABo2oSMDedNNNGj9+vFJTUzVv3jwtDv/BPoB7771XPp9P5557br+PEUDfsYmjqIA9OLlpocCcFgQAoh1xHhDHFbDziPN6JdyCgAQsAAwanidg77vvPl1++eW69tprtWzZMs2cOVNnnHGGSktL93u/TZs26YorrtCJJ544YGMFcPAaGxv12AuPaUf1DiX4EtSytUVFRUUKtAS8HlpsVsCSgAUQxYjzgPiL8xY/95yCb7/tzi9LSnJxXkuAOK9XLQjoAQsAg4bnCdgbbrhBl1xyiS6++GJNnz5dN998s9LT03X77bd3eZ9AIKDPfe5z+ulPf6pDDjlkQMcL4OAsX75cP3/m5249LyFP/3zrn1rw/AKV7y73emgxhRYEAGIBcR4Qf3Fe2Y9/LF8goMaMDDX95z9av2CBdpcT5/WqAnbnTjt0zOvRAABiPQHb1NSkpUuX6rTTTnt/QH6/O//66693eb+f/exnys/P1xe/+MVu7YWtqqpqtwDwVkNegzs9ZMQhKpxeqLxRoSAT3ZeXFtpmxQ3Famlt8Xo4ALAP4jwgPh3e1OROU8aP1zGFhZq4N5mIHsjJkaVdE+rrpbIyr0cDAIj1BOyuXbtclcOIESPaXW7ni4uLO73PK6+8or///e+69dZbu/Uc1113nXJyctqWMWPG9MnYAfReaXPo0NMx2fx77K2s5Cz55VcgGNC2qm1eDwcA9kGcB8SnrHCLkcJCr4cSuxIT1ZSREVrfsMHr0QAABkMLgp6orq7W5z//eReUDxs2rFv3ufLKK1VZWdm2bN26td/HCaBr9S31Km8JHYZGArb3bGKarIQst76hgsAcQOwjzgMGgdZWZYYTsOwQOSiNWaE4Txs3ej0UAEAfSJSHLLhOSEhQSUlJu8vt/MiRI/e5/fr1692kDGeffXbbZa2tre40MTFRq1ev1sSJE9vdJyUlxS0AosOqqlUKKugqOLNTsr0eTkzL8mepMlCpjRUbpQlejwYA2iPOA+JP6pYtSmpsdBWc6uTfObqvIStL2Xa0ABWwADAoeFoBm5ycrDlz5mjhwoXtAm07f+yxx+5z+6lTp+qdd97RihUr2paPfexjOuWUU9w6h50B0e+dPe+40zE5Y1wVJ3qPClgA0Yw4D4g/We+E4jyNHi0lJHg9nJhGBSwADC6eVsCayy+/XBdddJGOOuoozZ07VzfeeKNqa2vdbLnmwgsv1OjRo12Pr9TUVM2YMaPd/XNzc91px8sBRHkClvYDfZeA3UMCFkB0Is4D4jQBS//XvkvAUgELAIOC5wnY888/X2VlZbrmmmvchAyzZs3SU0891TZhw5YtW9yMuQBiXzAYVNGeIrdemE1g3lcJWNeCAACiEHEeEF8yi0JxHv1f+6YFgUMCFgAGBc8TsObSSy91S2deeOGF/d73zjvv7KdRAehra3evVWVzpRKUoILMAq+HE/NoQQAgFhDnAXGiokLp4cPlqYDtuwpYm1ywuVlKSvJ6SACAg0DJAYAB8+qWV93psMRhSvDTF6wvJuEyZXVlqmmq8Xo4AAAgnr3+ujupz86WMjK8Hk3Ma05LU2tysjXPtsMFvB4OAOAgkYAFMGBe2fKKOx2RFDr0FAcn2Z+s7KRst04bAgAA4KlXQnFe9d4WIzhIPp8aRo0KrdOGAABiHglYAAPmla0kYPva6LTR7pQ2BAAAwFMkYPtcYzgBG27tAACIWVHRAxbA4NXY2Kjly5drd+NurSlf4y4b5hvm9bAGjVHpo7SqahUJWAAA4Fmc52tq0tFvvOGqeyqGD/d6WINGw+jQjnYqYAEg9pGABdCvLCif/9B81Y2qc+fTG9NVs4d+pX1lVFqoMmLjHiojAADAwMd5RfPn65hgUP6mJlUnJWmHTRiFPtFYsHfSWhKwABDzaEEAoN/lT8hXbVatWx/upyqiPxKwVMACAAAvzMjP14z6ere+a+hQ17sUfaMxXAFLCwIAiHkkYAEMiC1VodlbhwSGeD2UQdeCwJCABQAAntkSivNKhhDn9SUm4QKAwYMELIB+1xxs1s7qnW59aGCo18MZtC0IgsGg18MBAADxxuKPrVvdarFVwKLvJ+HavVuqrPR6OACAg0ACFkC/K20uVVBB5aTkKC2Y5vVwBpWRqSPl9/nV0NKg4ppir4cDAADiTFpFhdTQICUlqTw72+vhDCqt6elSeFIz2hAAQEwjAQug35U0l7jTsTljvR7KoJPoT2zbrrQhAAAAAy27JBTnqbBQQT8/L/vcIYeETmlDAAAxjb+QAPodCdj+NSF3QlsbAgAAgIGUFU7AjiXO6xcTQnEeCVgAiG0kYAH0q5bWFteCwJCA7R+H5IUqI6iABQAAAy2reG8LJBKw/VsBSwsCAIhpJGAB9Ks11WvUohalJqZqePreHlboE4HmgIqKipRYk+jOv7HmDS1atEiNjY1eDw0AAMSB5OJipdTWSj6fa0GAvtMUCMV56/dOsrpn2TLiPACIYSRgAfSrtyrecqdjs8fKZ8E5+kz5tnItWLRAq4tXu/PLypZp/kPztXz5cq+HBgAA4kDWW6E4TwUFUnKy18MZVNaUl6tiwQI1rljhzqesWqWi+cR5ABCrSMACGJgELO0H+kVeYZ4mTpro1uv8dcqfkO/1kAAAQJzIDidgaT/QL6bk5Wn6oYe69bSaGs0YztFkABCrSMAC6DfBYFBv73nbrZOA7T95qXnutKqxSoFgwOvhAACAeKuAJQHbf7KzJb9fCgSUXFfn9WgAAL1EAhZAv1lTvkYVTRVKUIIKsgq8Hs6glZ6UriR/kluvCdR4PRwAABAPdu9W+oa9E4CSgO0/lnzNyXGrKdXVXo8GANBLJGAB9JtXtrziTocnDVeiPzRRFPqe9dbNSwtVwVa3EpgDAIAB8Npr7qTekoMZGV6PZnDLC8V5JGABIHaRgAXQb17e8rI7HZE0wuuhxE8bgkCV10MBAADx4OVQnFc9gjiv3+XmupNUErAAELNIwALo9wrYkUkjvR7KoJebGgrMqwME5gAAYAC8EorzqkYS5w1YBWwVO9oBIFaRgAXQL3ZW79T6ivXyyaf8xHyvhzPoDUkb4k6pgAUAAP2uvl568023SgXsABgSivNSScACQMwiAQugX7y4+UV3OilrkpL9yV4PZ9AbmjbUnZKABQAA/W7RIqm5WU3DhqkxK8vr0Qx+Q0NxHglYAIhdJGAB9IvnNz7vTucMmeP1UOLC0PT3E7CBYMDr4QAAgMHs+VCcV3XkkTYbqNejiZsK2KTGRiVWVno9GgBAL5CABdAvntv0nDs9csiRXg8lLuSk5CjRn6hWtWpn/U6vhwMAAAaz50JxXuUcdrQPiKQkKTvbraZu3uz1aAAAvUACFkCf21a1Tet2r5Pf59fsvNleDycu+Hy+tj6wW2u3ej0cAAAwWNXWSosXu9UqErADZ9gwd5K2lTgPAGIRCVgA/dd+oGCOMpMyvR5O3PWB3VK3xeuhAACAwerVV13/V40dq8ZRo7weTfxNxLWFOA8AYhEJWAB97vlNoQTsKeNP8Xoo8ZmArSUwBwAA/dv/VaecQv9XLybiogIWAGISCVgA/ZeAnUAC1ouJuLbWEZgDAIABSMBi4BOwVMACQEwiAQugT22s2KhNeza5CaFOGHuC18OJywpYesACAIB+UVUlLVkSWicB60kC1vWAbW31ejQAgB4iAQugzzQ2Nuq2hbe59WnZ01S0rEhFRUUKtAS8HlpcVcAWNxSrrrnO6+EAAIBBpvm556RAQA2jR2vRjh0uzmsJEOcNiNxctfr98jc1SbQhAICYQwIWQJ9Zvny5FqxY4Nb9TX7dtuw2LXh+gcp3l3s9tLiQnpSuFF+KW1+3e53XwwEAAINM2f33u9PKjAzpttu0fsEC7S4nzhsQfr8asrND62vWeD0aAEAPkYAF0Gdag60qTw4F4bMnz1bh9ELljcrzelhxJTshFJivKScwBwAAfSt30SJ3OuKII3RMYaEm5hHnDSQSsAAQu0jAAugza6rWqCHYoOSEZBVmF3o9nLiUk5DjTknAAgCAPrV1q9I3blTQ55MOOcTr0cSlhpxQnEcCFgBiDwlYAH1m0a5QVcQhuYcowZ/g9XDiEglYAADQL55+2p3UDB8upaV5PZq4VE8CFgBiFglYAH2egJ04ZKLXQ4lbOYmhwHx1+WqvhwIAAAaTp55yJ3sKOcrJ8xYEq4nzACDWkIAF0CcqGypVVFnk1icNmeT1cBTvFbCrdxGYAwCAPtLSIv3vf261cvRor0cTtxpyc0MrmzZJDQ1eDwcAEGsJ2Jtuuknjx49Xamqq5s2bp8WLF3d521tvvVUnnnii8vLy3HLaaaft9/YABsbCjQsVCAZcAjA3dW9wCE8m4fLLr4qGCpXUlHg9HAAgzgMGgzfekCor1ZydrZphw7weTdxqTk1VS1aWFAzShgAAYoznCdj77rtPl19+ua699lotW7ZMM2fO1BlnnKHS0tJOb//CCy/oM5/5jJ5//nm9/vrrGjNmjE4//XRt3759wMcO4H1PrQsdllaYzGFpXkr0JaowI/QevFXyltfDARDniPOAwdV+oHLePMnv+U/I+OXzqW7i3lZfbxHnAUAs8fyv5w033KBLLrlEF198saZPn66bb75Z6enpuv322zu9/d13362vf/3rmjVrlqZOnarbbrtNra2tWrhw4YCPHUBIMBjU0+tDEzOMTuKwNK9Nygy1gHi75G2vhwIgzhHnAYNrAi6XgIWn6ibtbfX1NnEeAMQSTxOwTU1NWrp0qTu8rG1Afr87b1UP3VFXV6fm5mYNGTKk0+sbGxtVVVXVbgHQt94pfUdbKrco2Z+sguQCr4cT9yZlkYAF4D3iPGCQ2LlTevNNt7qHBKznSMACQGzyNAG7a9cuBQIBjRgxot3ldr64uLhbj/GDH/xAo0aNahfcR7ruuuuUk5PTttihbAD61iOrHnGn84bOc4fAIzoSsLQgAOAl4jxgkHjssdDpvHlqpv9r9CRgaUEAADHF8xYEB+NXv/qV7r33Xj3yyCNuYofOXHnllaqsrGxbtm7dOuDjBAa7R94LJWBPGnGS10NBRAJ2VdkqNQWavB4OAPQKcR4QJR4JxXn6+Me9HgksAXvIIa4XrEpKQgsAICZ4moAdNmyYEhISVNLhD4edHzly5H7v+7vf/c4F5s8884yOOOKILm+XkpKi7OzsdguAvrOxYqOrtEzwJeiE4Sd4PRxIGpk6Utkp2WpubdbqXau9Hg6AOEWcBwwCe/ZIzz0XWicBGxVa09KkcBXsO+94PRwAQCwkYJOTkzVnzpx2EyuEJ1o49thju7zfb37zG/385z/XU089paOOOmqARgtgf9WvHxj3AeUk53g9HLgJcn06YkQoYUEbAgBeIc4DBoHHH5daWqTp06VDD/V6NAgL75iiDQEAxAzPWxBcfvnluvXWW7VgwQKtWrVKX/va11RbW+tmyzUXXnihO7ws7Ne//rWuvvpqN3vu+PHjXQ8xW2pqajx8FUD8CidgPz6VqohoMnPETHfKRFwAvEScB8Q42g9Ep5mhOI+JuAAgdng+W87555+vsrIyXXPNNS7AnjVrlqt4CE/YsGXLFjdjbthf//pXN6vuJz/5yXaPc+211+onP/nJgI8fiGclNSV6dcurbv3cqedq+6rtXg8Je4UrYEnAAvAScR4Qw+rrpSefDK2fe67Xo0FnFbAkYAEgZniegDWXXnqpWzrzwgsvtDu/adOmARoVgAN58N0HFVRQ07KnueRrUVGRAi0Br4eFiAQsLQgAeI04D4hNzY8/rqS6OjWOGKHlzc3SokUu1psaINaLmgTsypWSvTdJSV6PCAAQCwlYALHptjduc6cZgQzdtuw2rX51tfIm52mcxnk9tLg3I3+GfPKpuKZYpbWlys/I93pIAAAghlT95S8aKmn3sGHS3//uLlu/erXy8/KkccR6nho/XsrKkqqrpdWrpRkzvB4RACDae8ACiE0bKzZqRcUKt37i4SeqcHqh8kbleT0s7JWZnKmJQya69XdKmCEXAAD0QEWF8l4NtZkqOOEEHVNY6JaJlnyF93w+2hAAQIwhAQugV/759j/d6aikUcpOyfZ6ONjPRFxLdy71eigAACCWPPCA/E1NqrOE696ezYjSibiWEucBQCwgAQugx4LBoO56+y63Pil1ktfDQYRAc8D1Z1u0aJFGt452l7248UWvhwUAAGLJXaE4r2zSpFC1JaJCU+D9OG9tfqi9VOtLL3k9LABAN9ADFkCPvbH9Da3bvU6pCakanzLe6+EgQvm2ci2oWKApTVNU1lzmLntp80sKtAaU4E/wengAACDarV8vvfqqgn6/dk2cSGf/KLKmvFwVCxZIU6aouqbGXeZbvjzUC9Z6wgIAohYVsAB67K63QlURJ484WUk+Zl2NNnmFea4n78wjZrr3p6alRkWlRV4PCwAAxIJ/htpMVR59tJozMrweDTqYkpfn+vEeOXWqGjIz5QsEpNdf93pYAIADIAELoEdqmmp0zzv3uPUzC870ejjYD7/Pr/zE/LYqWAAAgP1qaZFuv92t7vrwh70eDQ6geuTI0MrLL3s9FADAAZCABdBtjY2NuvaRa1XZWKmx6WOVujNVgZaA18PCfoxMCgXmL28hMAcAAPuP89b8+tfSli1qzs3VyyNGqMWqKxG1qsIJWPrAAkDUIwELoNuWLluqv638m1sf7R+tf7zwD5XvLvd6WOhGAtYqYG3yNAAAgM4sX75cOddf79ZLxo/Xmnvu0e5y4ryYqIB94w2pocHr4QAA9oMELIBue7XsVdX6a5WamKqTZ52svFF5Xg8JBzAsaZiS/ckqqS3R2t1rvR4OAACIUhnvvqsRFRWS36/CU0/VxDzivGjXkJ2tpiFDrHxZevNNr4cDANgPErAAuu2+zfe50yMLjlRyQrLXw0E3JPoSNT1nulunDywAAOhKwX2hOE+HHy5lZno9HHSHz6fqWbNC67QhAICoRgIWQLcs37lcS3cvlU8+zR011+vhoAdm5YUCcxKwAACgU5s3a8hzz4XW583zejTogSoSsAAQE0jAAuiWH/zvB+70kJRDlJOa4/Vw0AOz82a702fWP6NAK5NpAACADn78Y/kDAVWOGiUVFHg9GvRA1exQnKeXX5ZqarweDgCgCyRgARzQ0+ue1rMbnlWSL0lzMuZ4PRz00OwhszUkbYjrA/vcxr3VLQAAAGbZMumf/3SrW44+2uvRoIfqJ06UJk2S6uulRx/1ejgAgC6QgAWwX1YxecWzV7j1T479pLISsrweEnooyZ+kT03/lFu/+527vR4OAACIFsGgdEUozis74wzVDhvm9YjQUz6f9LnPhdbvJs4DgGhFAhbAft254k4VlRYpNzVXFx1ykdfDQS997vBQYP7wqodV31zv9XAAAEA0ePxx6fnnpZQUbf3KV7weDXornIB99lmptNTr0QAAOkECFkCXNu3ZpO8+8123/uMTf6ycZHq/xqrjxx6vsTljVd1Urf+s+Y/XwwEAAF7btUsKJ12/9S010fs1dk2eLFn7iEBAuv9+r0cDAOgECVgAnaqtr9XZC85WZWOlZuTM0DzNU1FRkQItTOIUi/w+vz4747NunTYEAADEt8aGBu3++MelHTtUP3asFp95povzWiyBh9hEGwIAiGokYAF06tIHL1XRniI38db0hOmuFcGC5xeofHe510NDL33uiFBg/uTaJ1Vex/sIAEC82vGjH2nIK6+o1e/X2iOPVOvdd2v9ggXaXU58ELPOP1/y+6VFi6R167weDQCgAxKwAPbx92V/150b7nTrH5v6MU07fJoKpxcqb1Se10PDQZiRP0NHFhyp5tZmXffKdV4PBwAAeOHRRzXuD39wq/7TT9cRM2fqmMJCTcwjzotpI0dKZ5wRWv/Zz7weDQCgAxKwAPZJvn7pP19y64elHeaSdhg8fnHKL9zpH9/4o9btpjoCAIC48uij0qc+JX8goLKJE6W5c70eEfpSOPH6j39Iixd7PRoAQITEyDMA4legNaBfvfIr/fj5H7vznx77aWXWZXo9LBykQHPA9XQLy1OeTj/kdD2z4Rl979nv6ZHzH/F0fAAAYAAEg9Jf/ypddpnU0qJdp5+u9aNHa7jP5/XIcBCaAgGtiYjzzNEXXKCEf/5T+s53pFdekXiPASAqkIAFoO1V23XBIxfohU0vuPOXzbtM5+ecr78v/7vXQ8NBKt9WrgUVCzSlaYo7X7qxVF844wtauHGhHn3vUT238Tl9cMIHvR4mAADoL9bX9YtflB57LHT+s5/Vuq99Tboz1G4KsWtNebkqFiyQpoTivKLSUiVdconmPPyw9Npr0n33Sf/v/3k9TAAALQiA+FbXXKdfvvRLTb1pqku+ZiRl6M5z7tTvz/i9fOwtHzTyCvNcD19b8ifka0LmBH31qK+66z770Ge1tnyt10MEAAB9ralJ+uMfpUMPDSVfk5KkG24IHZ6eSB3OYDElL8/18LVlRn6+mocPl374w9CVX/6ytHSp10MEAFABC8SHxsZGLV++vO18Q6BBj2x+RP/a8i+VNZa5y6ZnT9dV067SxIaJeuONN9xh64GWgIejRn/65Qd/qVe2vKK3St7Saf84TS9f/LLG5oz1elgAAOAg4zxfc7Ny//tfjb37bqVt3+4uq50wQe9ddZWaZ8xwvUEtzpsaIM4btL73PWnhQunFF6UPf1h66SVp2jSvRwUAcY0ELBAHLCif/9B8ZYzN0OqG1VpVv0oNwQZ3XYY/Q0dnHK3mJc26+d2bNeXI0CFMq19drbzJeRqncR6PHv3VE3b+tPn6WvXXtKVyi06+82Tdc949OqbwGK+HCAAAehjnFc2fr1nZ2Rq+Zo1GrlyplNpad11Taqq2zZkjayqVu2CBTtx7qPr61auVn5cnjSPOG6w9YROuvlrTSkuVuWqVgh/8oHx33SV96ENeDxEA4hYJWGCQCwaDWly+WO8MeUebd29WUEF3eXpruib6Jupjx39Mif5ELdu5TMqQO0w93CsUg78n7LGpx6qspkwb92zU8bcfr+8e+119f973tW7lunb3mz17tlJSUjwaNQAA6FQwqMy339Y5K1dq+KZN0t6q1tqUFG2aOFGHfexjOiQlRROWLVO+5A5TD/cKxeDuCWufhPeOPFKHbNumIcXF0umnu5YEjT/5iZZv3tzufsR5AND/SMACMX6YWVeB08qylXpo5UP65zv/1JryNW2Xj8sZp6NGHaWGNxvkz/C75CvisydsWFJRknYl79JTO5/Sb1/7rW5efLNG1I3Q0QVHK92f7pLxV+kqHXMM1bEAAERDnKcNG6SHHpLuvlsz3nrr/ctHjZKOOkr3t7RoaEKCDiOpFrc9YcMWf/zjGltXp5EPPijdcosS//EPZY4cqaajj1ZTVlYoGX8VcR4A9DcyL0CMthOwyZTCSjaW6ILaC1STV6OXt7zslg0VG9quT09I17ikcTp5xsnKzwjdb5mWeTJ+RJ/EQKLO85+nD87+oP60+k/aWrdV1cnV2rh7o44YcYQOGXOI10MEACCu2gnYZEphRSUlSvnCFzTb2gq88or08svSe++1Xd+anKxd48cr/6STQglYazm0jDgPIQ1+v/57xhk67pRTNO7GG5Wxdq1mbNwoWcX0jBlKnzhRdV4PEgDiAAlYIAYNGz9M/jF+ba7crC17tmhj1kb995X/trtNkj9Jp088XZ+c/kmNrRmre96+py35CnTaluDIKTot/TS9vu51lRSUqEIVWl68XPbfnrf26PcTfq/DRxzu9XABABjUZgwfrmMSE6UtW9wye8MGpfy3fZwXTEiQ75RTpPPO09JDDlHg/vuVvzf5CnTWlqBqyhS9c+KJWpmcrLNLSjR81y7pnXd0xDvvqMKqYK+/XqIKFgD6DQlYIEbsqN7hWgrcveRuLdu9TM27mttd72/1Kz8lXyOSRii5NFmfn/x5HX3I0VKDVPRekQItzHSL7rUl2LVplyZrsobNGqbXtr6m1eWrtbB4oY64+Qh9fOrHdfUHrtbsgtleDxkAgMHDkmGPPKIpCxYo6803paamtqusiUDA51Pd8OGqHjFCb1nF6+c/r8nz5rnrbXLNqXt7vwIHaktQVFam1w85RB8rKJBee03Bd99V3muvScceG5qk6+qrpRNP9HrIADDokIAFolhJTYnue+c+3fHmHXqr4q22CbRMSkKKxuaMdUvDuw3KScvR0ccd7a5b9vgy3b/4fr3VEuoJtvrV1cqbnKdxYqZbdF/487V82XLtaNmhpfVL9ch7j7jl+OHH64aP3qC5Y+d6PUwAAGLT7t1qfuAB1d5xh3KWLJEvEFBe+LqkJGnMGGncOP23oUHKy9NHjz5aWZKeWLZMFQ8+qMnvvONuun71auXn5bnbAt1mCdjzztObhx6qnJISTV60SP5nn5WefVaVRx6ptOuvV/LJJ3s9SgAYNEjAAlHEJl5YuGihXix90VUcLt+9XK1qbbs+PzFfGTsyNGb4GJ10/Eny+/zu8mXvLNtvRaNNogT0VnBnUKkVqfrEEZ/QiroV2tC4Qa+Wvap5d8zTh0Z+SJdMukRjMsYwgy4AAAeI895+4QXlvfKKhi5cqJzFi5UUCCh37/W1Q4fq5cxMpY0dq5Ms8eUPxXnFy5Ypf38VjXb4ONBLbzc3q8Ln02nnnadRb7+t4WvWKMd6CJ9yiiqOP15bv/pV1U2aRJwHAAeJBCzgoWAw6FoLvLnjTS3atkiPvvOoVletbnebzPpMjU0dq9OPOV05qTmuutWEk6/AQLCE/owjZsj+K68r18OvPawdSTv0bPGz+l/x/zSmeYz+1PAnfezkj3k9VAAAokdJiWQtBRYvVtMjj2hOUZEiI7id6enaM2aMpn3oQ8oYOlTbwsnWvclXYCBYQn/2tGmSLZWVeu/hh3Xoli3Ke/VV5b76qtaPHq2Vv/+9Zn/qU14PFQBiFglYoB+rHGwmW9MabFVJQ4nW7lmrzbWbtbVhqzbVbtKmmk2qbqne574FmQU6bPhhmj58ujY+t9FdZslXIBoMTR+qOY1zNClxknYO3am1u9dqS9IWffKlT+ri6ov1/eO/r4lDJno9TAAABiTOUzCo5NJSJa1bp7TNm5W1davSNm1S6qZNSt6zp+0+1j7Ayc+Xpk+XDjtMj2/Z4hKu04YO9eR1APvIydErM2dq+8SJOrW0VL5339Wk7dsV/H//T3rsMemHP5RmzPB6lAAQc0jAAn2ooaVBGyo2aFXZKj2z/Bk9vupxNaQ1qLKlUi1q6fxOQWlI4hANSxombZTGjxyvY+cc23b1RrsQiEI5ytEph5+iLZVb9OS7T6q4uVi3LLtFty2/TR+b8jFdevSl+uCED8rn83k9VAAADp5NjLVpk7RqlUqeflpD/vMfjWpoUGplpRKb20+OGmbd++tzc1U7bJhesiTs+PE6/fjj37/Bli0DN36gB2ozM6UPfEA6/nhVPPGE8rZtk+6+O7Scfrp06aXSRz4iJSR4PVQAiAlRkYC96aab9Nvf/lbFxcWaOXOm/vSnP2nu3K4ndnnggQd09dVXa9OmTZo8ebJ+/etf6yP25Q/0Y5XDsmXLXLVqSX2JihuKVVxfrNbsVm2v2a7NlZu1ec9mldSWtL9jkhTOu1rLgIyWDGX6MzV53GQNyximXUt3KTMtU0efsHfyrF379nIFop1N1PXhjA+7HsUv62W9vut1Pfreo26ZmDdRFxxxgT4z4zOaMmyK10MF4AHiPMRKNWtCba2Sd+5USkmJUoqLNSYYVKIlnSxJunmztHOnq3Y1Yzs+iN+vPenpqs/MVMGkSdLw4Xpk1y4lZ2bqrLlzlS6pYtkyFxoCMaWgQO+cdprKCwv1gdde05Dnn5fvmWekZ55RcPRo+T73OcmWww+X2OkOANGbgL3vvvt0+eWX6+abb9a8efN044036owzztBqm83TDs/p4LXXXtNnPvMZXXfddfroRz+qe+65R+eee65Ljs2IgkMh2h2OFCHem5b3ZLtYX9SW1hY1tzaHTgN7T1ubVVtfq7eL3lYgGFBKQorSE9J13FHHKSu97aCuHqtvqNfzbzyv3U27Vd5Yrl2Nu7S7cbf8OX6V1ZdpZ81ObSrbpB21O9Ti66KKNYKNaVzGOOU256pRjZp8yGQNTx+uvLQ8rXhihZQhHTnhSHfbZa0kXDE4lG8r17qKdZp+5HSNyhulJcVLVJxarPUV6/XTF3/qltFpo/WRqR/RcWOP0xEjjtChQw9VZnJmt7477N+8tfJI8CVozpFzevR9Gn4M+25pCDSopqVGe+r3qLalVk2+JsknpfhTdMT0I5STnqO0xDTlpua6th/0WgYODnFefOjRdrEEZktLaLGq0YjTxpoarXz7bfkCAQVTUhRIS9Phxx2nlKys3id2gkE17typ955/Xknl5UouL3enoxMSlFhWJhUXq3XDBs3evl0pNpYDCKSmqmHsWO3MzVVSc7PG7U22asgQPfjWW66dwMeODMV55Z1MngXEojXl5apYt04FU6YoZdgwjVi1SkPee0+p27dLv/mNWxrz85V45plKOOEE6YgjpKlTpQP822377ggE5GttVdDv1+w5c5SSmtrtsbU9RjAof2Oj25HSWlHhTlMbGy3MU2tKiiYffriSc3KktDQpN9e1WqB6F0BcJWBvuOEGXXLJJbr44ovdeQvQH3/8cd1+++36ofWX6eAPf/iDPvzhD+t73/ueO//zn/9czz77rP785z+7+3rtc3d/Ts9tek4pqSny238+v1rqWjTjrRkaM3KM0pPS3ZKRlKEEf4JLCFhSIbw0BhpV31yv2qZa7Sjd4c43tTapvqXenTYFm1wi0ief0tPT3WPYc7gkQVCqr6t363bIrz1/ZmamEhMS292mtrrWjTV8u9zsXPkTQkmGYGtQVZVVSvQnKtGXqGR/slsflT9K6SnpSk5IdoslP8PrSQlJCrQGQmMNNKmxpdGt1zXXtS1bS7Zq1Y5V8qf63aH4LcEWNTY3KvW5VClB7RKtlmjpkeflxpqemO6Sn3mZecpOyXaJHVuyUrLc9rax1TbXqqapxm3fqsYqV7FaUlPSvefcGzvY+5eTkqPgnqD89X73vmYmZKr8nXKlJKbosJmHue26eslqjZ48WlOHTe35BwmI0Ym6CqcXyv5r2tqkUWWjlDItResa1mlH8w5tr9+uW5ff6pYw+/c0LH2Y+04L2n/BoJqamty/Sfuus7Ye9t0X9IUqjpxn5BKxtth3lCVPs9Oz3WOlJaW5x7D72neKndbU1ai8vtztQLHn6NLi9mftOzIvNU9D0oa4vrd26tbTQuv2PWDff/YdaWNx35t7F/tuNjaWsPBz9/SyyDF357LIx7K/K/a92tlOrfqmem3fud19H7vXq9DfhFEFo5ScmOxeU/hvR/hvTW8vs/fXxhJ+j+0/d37vevhv4f6uj7zMXouNf/O2ze7vj70G+8zY6zph2gn6+ryv7//DigEz2OK8sq9+VRMee0xpKSlq9ftdsqCyuVk1M2YoZcwYKT1dysgInSYlSa2t7Rc7hL2+XoGaGu3eudMlC2xRQ4M7tcPYfeFD2X0+pWZkyG8JAp9PrT6f6urr3XO6hIbPp4ysLPkTE0MTNvn9apVUVVPjrgvfLjs3Vwl7J3QKBIOqrKxUMClJwcREd9qalKRho0YpwZISycmSJUztNLxuryMQCI3dxho+ratrW2q3btXolSuV4/fL39KihJYWBey12WPuTbgG9yZZLbnaFUvVzu7k8taEBLWmpyuQnq6kvDz5s7MlOzzaFkvw2Da35GltrWSv306rq0MTYFk1a3OzZu7nfU2LPGOJn9xcbQoGVe73a+iYMWrKzNSz5eVue8yxHQE+nx5bvVrHjhihcdbLFYiTibqOKSwMnZk2TXe8+abyNmzQB+rrlbttm1JKS6UFC0JL5L8n20Fh30HB9+M8+x6w7zpfQ4OObmpSQkTsEv43b8lR+36y5GlSdrZ89u/cvlOMfZ+El+pqzbKdKy0t8nd4nP0J2vdobq581n95yJDQErluSVr7/rPv2PBi4wqfhhPL4efseNrdyw729h12ZIXXWxoaVLJtW+g71/7+JCS41zxi1Cgl2ve7vSf2OiJPe3uZbQsbiz2PnYaX3p638dfXa8eWLfLZ3429fzvsNH/WLCV+//vdfp+BaOJpAta+fJcuXaorr7yy7TK/36/TTjtNr7/+eqf3scutkiKSVVI8+uijXe4RsyXMgk5TVVWl/rBm1xpVNFdIHdpAFW8qljb18ZOVa+Cs66PHqWl/tqGpoWf3b1XbD3pXEed+athR/i2q2vtf8Z7iXg0txZeiNH+aUv2pLrE6LXeaJhVM0tCUoareWa0VW1do9JjRSvKFDh5bu3qtlCpNLpjsxlVbU+vONzeE3vyW5haVbSjThqwNbc9RtrnM3SZ82YHO99Vtovk+0TSWWB9/NI0lfH5McIzGpIxRc3Kz1m5fq6yhWapIrtCGmg2qbq5WXUOdtlT3vP9dYO9/TWpSjWpUXtWzL8SE1gQlBBOUnpzeVglvSTxfkk8BXyCU7FOrS9yWV5RrrdYqbqxSTFu3a50umHZBvzx2OHaITHIjvuK8lg0blF1R4dbD9fFD7H8lJerpM3ZWLxvYf9i0j86u71i3H9rtvv/gv+NtesoeMzxVqEVmoejMvlsbVN/Nx7DX7nYH+f1KSEhwP7YT7Me4uzIQSqhWV6vRkqq90JCYqNaMDDWnpWmXz6f6adOUPXmymvPytK66WvVvvaXC0aMVtMSEpMfXrlWepOMmT3bn19fVufO1exPkjS0tequsTBkb3v/buLKsTDultssOdL6vbjNQ94mmscT6+KNpLL0d/zu7dysvN1dZRx/tEmMVa9aoIDdXhXv2KH39+tAEdA0N0tat6jH7Nx/e8VNbq4bduw94l6a9p/YXusHvV1NiopLS00Pn6+vdGNN8PiUGAkoKJ/zs+3zvd/pg1NkxonWKHbmdXFb65pvK/OpX++X5iPPQ74Ie2r59u32yg6+99lq7y7/3ve8F586d2+l9kpKSgvfcc0+7y2666aZgfn5+p7e/9tpr3XOwsLCwsLCwsPTFsnXr1j6MhgYv4jwWFhYWFhaWWFuI89BfPG9B0N+s6iKykqK1tVW7d+/W0KFDo25mbtvjMmbMGG3dulXZdmgVuo1td3DYfr3Htjs4bL/eY9sN/Laziojq6mqNGjWqX8eH7iPOiw9su4PD9us9tt3BYfv1Httu4LcfcR76m6cJ2GHDhrlDjEo6HEpk50eOHNnpfezyntzeGv93bP6fa/1coph9QfAl2ztsu4PD9us9tt3BYfv1HttuYLddjk3agW4hzusc/2Z7j213cNh+vce2Ozhsv95j2w3s9iPOQ3/ydHrn5ORkzZkzRwsXLmxXuWDnjz322E7vY5dH3t7Y5Axd3R4AAAADjzgPAAAACPG8BYEdNnbRRRfpqKOO0ty5c3XjjTeqtra2bbbcCy+8UKNHj9Z1113nzl922WU66aSTdP311+uss87SvffeqyVLluiWW27x+JUAAAAgEnEeAAAAEAUJ2PPPP19lZWW65pprVFxcrFmzZumpp57SiBEj3PVbtmxxM+aGHXfccbrnnnv04x//WFdddZUmT57sZsadMWOGYp0dQnfttdfucygdDoxtd3DYfr3Htjs4bL/eY9v1Httu4BDnvY/PXe+x7Q4O26/32HYHh+3Xe2y7g8P2QzTy2UxcXg8CAAAAAAAAAAYjT3vAAgAAAAAAAMBgRgIWAAAAAAAAAPoJCVgAAAAAAAAA6CckYAEAAAAAAACgn5CAjRI33XSTxo8fr9TUVM2bN0+LFy/2ekgx4aWXXtLZZ5+tUaNGyefzuZmS0T3XXXedjj76aGVlZSk/P1/nnnuuVq9e7fWwYsZf//pXHXHEEcrOznbLscceqyeffNLrYcWkX/3qV+7f77e//W2vhxITfvKTn7jtFblMnTrV62HFjO3bt+uCCy7Q0KFDlZaWpsMPP1xLlizxelgY5Ijzeo9Yr3eI8w4OcV7fIc7rGeK8g0Och2hGAjYK3Hfffbr88st17bXXatmyZZo5c6bOOOMMlZaWej20qFdbW+u2l/2wQc+8+OKL+sY3vqFFixbp2WefVXNzs04//XS3TXFghYWFLqBcunSp+6P+wQ9+UOecc47effddr4cWU95880397W9/cz9y0H2HHXaYdu7c2ba88sorXg8pJlRUVOj4449XUlKS+yG9cuVKXX/99crLy/N6aBjEiPMODrFe7xDnHRzivL5BnNc7xHm9Q5yHaOcLBoNBrwcR76wSwvZQ//nPf3bnW1tbNWbMGH3zm9/UD3/4Q6+HFzNs7+Ajjzzi9vCj58rKylyFhAXsH/jAB7weTkwaMmSIfvvb3+qLX/yi10OJCTU1NTryyCP1l7/8Rb/4xS80a9Ys3XjjjV4PKyYqI6wCbMWKFV4PJebY39RXX31VL7/8stdDQRwhzus7xHq9R5x38IjzeoY4r3eI83qPOA/RjgpYjzU1Nbk9q6eddlrbZX6/351//fXXPR0b4ktlZWVbcImeCQQCuvfee11ViR2ihu6xypyzzjqr3fcfumft2rXucNxDDjlEn/vc57RlyxavhxQT/v3vf+uoo47Spz71KZeImD17tm699Vavh4VBjDgP0YI4r/eI83qHOK/3iPN6hzgP0Y4ErMd27drl/qiPGDGi3eV2vri42LNxIb5YNY71ZbJDNmbMmOH1cGLGO++8o8zMTKWkpOirX/2qq8qZPn2618OKCfZDxg7FtR516Hk13Z133qmnnnrK9ajbuHGjTjzxRFVXV3s9tKi3YcMGt80mT56sp59+Wl/72tf0rW99SwsWLPB6aBikiPMQDYjzeoc4r/eI83qPOK/3iPMQ7RK9HgCA6NhDXVRURH+hHpoyZYo7PMiqSh588EFddNFF7tA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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_t = numeric_train[nan_columns[27]]\n",
    "\n",
    "test_density_fillna(x_t, [\n",
    "    lambda: 0,\n",
    "    lambda: x_t.mean(),\n",
    "    lambda: x_t.median()\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule[nan_columns[27]] = x_t.median()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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w8Y4Y4a/etV6wAADAcyRggX20Jm2Nu+yV1cud1h9N4uPidfmQy936Y3Mf83o4AAAAEeWQ9eujr/1Ac1WwjxHnAQAQCRK9HgAQrdakr4nK6teAy4Zcpt99+Du9s+wdnfXDs5RWl1b/s9zsXE2+Z7Kn4wMAAPDKkDVrorP9QMDFF0s33CDNm6e7TjlF67N3zlWQlpur2ycT5wEAEE4kYIF9sLZ4rTanbI7qBGz/9v3VobKDtqRsUfVx1Rrec3j9z+Y/Od/TsQEAAHimtFSDNmyIzvYDAVa5e8YZ0ssv6+dlZdJRR9X/aMJ84jwAANpkC4LJkyerb9++Sk1N1ahRozR9+vQWPW7KlCmKi4vTeeedF/IxAsFeWPhC1LYfCNa7rLe7nLdxntdDAQDEKOI8RJ3XX1dybW30th8I+N73/Jfz5kk+n9ejAQCgTfM8Afvss89qwoQJuu222zR79mwNGTJEp556qgr2MGPnihUrdNNNN+nYY48N21iBgOfmPxfV1a8Bvcp6KU5xWr99vQrLCr0eDgAgxhDnISo999zO6tdobD8QcNZZKk9MlIqLpZUrvR4NAABtmucJ2EmTJunqq6/WlVdeqUGDBumBBx5Qenq6HnnkkV0+pra2Vt/73vf0u9/9Tv379w/reAFrP/Dp6k9jIgGbUpeigR0GunWqYAEArY04D1Fn+3bpf//b2f81mqWm6suePXdWwQIAgLaZgK2qqtKsWbM0ZsyYnQOKj3fXp02btsvH/f73v1dubq5+8IMf7PE5KisrVVxc3GAB9sd/FvzHXXas7BjV7QcCDu1yqLucVzBPPk5PAwC0EuI8RKXXX5fKy7UpIyO62w/sMKu3v92UFiyQamq8Hg4AAG2WpwnYwsJCV+XQpUuXBrfb9Q2BxveNfPLJJ3r44Yf14IMPtug57rjjDmVnZ9cvvXr1apWxo+16fsHz7rJn2Y6Kgih3UMeDlBSfpK0VW7WuZJ3XwwEAxAjiPESl5/1x3twePaK7/cAOyzp3ljIzpYoKadkyr4cDAECb5XkLgr1RUlKiSy+91AXlnTp1atFjJk6cqKKiovpl9erVIR8nYpclKAPtB3qU91AsSE5I1gEdD3DrizYv8no4AIA2ijgPnisrq28/MDdw6n6U81kS+eCD/VcWEecBAOCVRM+eWXLBdUJCgjZu3NjgdrvetZlTfpYtW+YmZTj77LPrb6urq3OXiYmJWrx4sQYMGNDgMSkpKW4BWsOri191l0f2PFLpq9MVKw7ueLAWbFqgRYWLdHK/k70eDgAgBhDnIeq89ZZrP6B+/bQ2J0cx45BDpBkzpCVL7JfK69EAANAmeVoBm5ycrGHDhundd99tEGjb9dGjRze5/8EHH6x58+Zpzpw59cs555yjE0880a1z2hlC7eVFL7vLcw86V7HEKmDj4+JVWFboFgAA9hdxHqLOy/44T+eeGxPtB+pZH9jUVH+FL1XiAAC0vQpYM2HCBF1++eUaPny4Ro4cqfvuu0+lpaVutlxz2WWXqUePHq7HV2pqqgYPHtzg8Tk7jk43vh1obcWVxXrvm/fc+nkHn6dZmqVYkZqYqn45/bRs6zJXBbti1gqNvWpsk/vlZudq8j2TPRkjACD6EOchatgEVa+95l8/7zzp739XzEhIkA46SJo7V1q4ULMKCzVhbNM4Ly03V7dPJs4DACAmE7AXXXSRNm3apFtvvdVNyDB06FBNnTq1fsKGVatWuRlzAa+98fUbqq6rdpNWHdxpRy+tKJI/K79JUjV/Tr7yxuW5dXtNgQSsfKq/Pdj8J+eHbbwAgOhHnIeo8emn0ubNUseO0tFHR10CdlZ+frNJ1Xn5+VJenr8PrCVgFy1SQrt2mmS3NTJhPnEeAAAxm4A11113nVua88EHH+z2sY899liIRgU09PLi6G4/UOGraJJUnTZzWv26JZZf//p1rS1Zq66pTXvzAQCwL4jzEFXtB846y5oOK9okVFQ0m1Q9adqOWM/6J9vrKirSgOTk8A8QAIA2jpIDoAWqaqv0v6//V99+IBZlpmSqZ6Z/xt/ybuVeDwcAACA8fL6dCVhrPxCLkpKkgQPd6jEVFV6PBgCANocELNACH6z4wPWA7dKui0b1HKVYdVCng9xlZZdKr4cCAAAQHvPmSStWSGlp0imnKGZZH1hJo0jAAgAQdiRggRZ4bYl/UoazDzxb8XGx+2szoP0Ad1nZqVK1dbVeDwcAACD0ApNvjRkjpacrZvXv7y4OrK6WyjnbCQCAcIq+BkdAmI2/cbz+nfZvKUma//Z8jX11bJMJrGJF14yuSk9KV5nKXC/Y3tm9vR4SAABAyNwyfry+/9xzskPQz69Zo2k7JrKqn7wqlmRlSZ06Kb6wUPrmG2nQIK9HBABAmxG7pXxAK1m+fbm2J21XnOJ03LnHuaSrLRU1sXf6VlxcnPrl9HPry7Yu83o4AAAAIeVbu1YDtmxx62OPPdZNZGVLbayepr+jClbLiPMAAAgnErDAHmxM3egue2X3UmpiqmJd//b+wHz51uVeDwUAACCkDigokOrqpI4dpfbtFfMG+NtNuQpYAAAQNiRggRYmYAe2988cG+sCfWDXFq+NySpfAACAgIM2bmyYmIx1ffqoxi63bvUvAAAgLEjAArtRVVulgtQCtz6gQ9sIzLNTs5VYkiiffFqxbYXXwwEAAAgNn08Hb9jgXx/YNg60KyVFC5KT/eu0IQAAIGxIwAK78dnqz1QTX+MmpuqW0U1tRUpBirukDywAAIhZixerQ1mZlJDgKkPbipkp/jhPy2k3BQBAuJCABXbjzaVv1rcfsAmq2oqUTf7AnD6wAAAgZr3pj/Nc8jVQFdoGzEpN3dkH1vrfAgCAkCMBC+zGm8vebFPtB4ITsHGK05byLSqpLPF6OAAAAKFLwLaV/q87LE5K8iecKyokm4QMAACEHAlYYBe2lm/VnA1z3Hr/9v3VlsTXxCu3Xa5bX1282uvhAAAAtK7qaunjj9tkArbOzurq1ct/ZdUqr4cDAECbQAIW2IWPV33sJqLKrM5URnKG2ppe2f7AfFURgTkAAIgxs2dL27er1CpBc/0HnduUQAJ2NQfaAQAIh8SwPAsQJcbfOF4FRf5TsebmzJUypbh1baf3a7De2b01c91MKmABAEBMuGX8eJXvOOX+xMWLdbakOYmJOroN9fmv17u3/5IKWAAAwoIELBDEkq954/Lc+qezPpW2SwkFCWqLemf5A/P1JetVVVul5IS2MzkFAACIPZZ8nZTnj/M0d67/IilJR6sN6tFDssRzcbFUVCRlZ3s9IgAAYhotCIBmVNRUaMP2DW49pTBFbVF2arayUrJcG4a1xWu9Hg4AAEDrqKurr/ycay0I2iJ73d26+depggUAIORIwALNsL6nlnjskNZBCRVtswI2uAp2VTGBOQAAiBEbNkiVlVJKipYlJanNog8sAABhQwIWaMbKbSvdZZ/sPmrLAhNxrS4iMAcAADFipT/OU58+qmuL/V8bJ2CpgAUAIORIwALNWFm0IwGb07YTsDYRl7GJuOp8dV4PBwAAoFUTsG1aYCIum5jMKoIBAEDIkIAFGqmsqdS6knVuvW92X7Vlue1y3eRbNglXQal/1mAAAICo7v9KAtYvM1PKyZF8PmnNGq9HAwBATCMBCzSypniN6/+ak5rjJqJqy+Lj4tUzq2d9FSwAAEBUs2rPioqGk1C1ZYEqWPrAAgAQUiRggWYSsKZX1o6+WG1cj8we7jJQFQwAABC1ApWePXtK8XwVUg9/nKd1xHkAAIQSUQewiwRsoPKzrQskYNcWr/V6KAAAAPtn7dqdCVhI3bvv3C/WigAAAIQECVggiLUeWFNCAjZY90x/YF5YVqiauBqvhwMAALDvAqfak4D169rVXwlcVqb2ZWVejwYAgJhFAhYIsj1xuypqKpQYn6gu7bp4PZyIkJmSqczkTJec3pq81evhAAAA7JP0qipp8+aGp963dYmJUhd/zNt7K3EeAAChQgIWCLI5eXN91WdCfILXw4m4NgQkYAEAQLTqvWWLf6VDByk93evhRFwbgl6B/QMAAFodCVggyJYUf+DZM5PT0pprQ7AlmcAcAABEpz6B6lfaDzSbgKUCFgCA0CEBCzRTAUv/1+YTsFTAAgCAaNUnUOFJArahHe0YeloCtq7O69EAABCTSMACO5RUlqgoqcitk4BtPgFbmliqzWU7qkcAAACiRV0dCdhd6dzZ9YJNramRFi/2ejQAAMQkErDADjPXzZTipOyUbDfxFHZKS0pTh7QOO/cTAABANFm8WGnV1Q0mncIO8fFSt27+9RkzvB4NAAAxiQQssMPnaz53l1S/7r4KdsY6AnMAABBlPv985+n2lnBEs31gScACABAaRB/ADp+v9QfmPbL8fbDQEAlYAAAQEwlYNBXYLyRgAQAICRKwwA6BU+t7ZBKYNyewX2atm+X1UAAAAPbOzB0tlEjA7r4Cds4cyVo1AACAVkUCFpC0YfsGrStZJ/mkrhldvR5OROrSrovbP2tL1qqgtMDr4QAAALRMZaU0b17DRCMa6tBBFdYf1/bVokVejwYAgJhDAhYIqurMqslSckKy18OJSCmJKcqs8U9Olr8+3+vhAAAAtMxXX7mqztLkZCk72+vRRKa4OK3NyfGv5xPnAQAQEQnY5cuXt/pAAC/NWu9PwOZU7Qg80azA/pm9frbXQwEAhAhxHmK1/cAaSzDGxXk9mojl9o+ZTZwHAEBEJGAHDhyoE088UU8++aQqKipafVCAV/1f21e193ooES2nekcCdgOBOQDEKuI8xJxZ/gPta9oT5+3O2sD+IQELAEBkJGBnz56tww47TBMmTFDXrl31ox/9SNOnT2/90QFhroAlAbt7VMACQOwjzkOsJmBXk4BtWQWstSCoq/N6OAAAxJR9SsAOHTpUf/nLX7Ru3To98sgjWr9+vY455hgNHjxYkyZN0qZNm1p/pECIJ+CKU1x9hSeat3rGane5fOtynXv1uRp71ViNv3G818MCALQi4jzE6gRcJGB3b+qyZaqOj5e2b9cdZ5yhCWPH6pbxxHkAAHg+CVdiYqK+/e1v6/nnn9edd96ppUuX6qabblKvXr102WWXuYAdiJYJuA7pfIgSfYleDyeiVVdVKyfVn6Ruf2Z75Y3LU0FRgdfDAgCEAHEeYoIlX6urpQ4dtDU93evRRLbKSiV16+ZWJ2ZkaFJensoLiPMAAPA8ATtz5kxde+216tatm6uIsKB82bJlevvtt13VxLnnntsqgwTC0X5gWLdhXg8lKnTL8Afm60v44g0AsYw4D7HUfkDDhjEBV0vsSMCKAywAALSqfSr3syD80Ucf1eLFi3XGGWfo3//+t7uMt1NWJPXr10+PPfaY+vbt27qjBUI4AZclYD/RJ14PJ+J1zeiqhYULtX47gTkAxCLiPMRsAnbpUq9HE/m6dvVfbtjg9UgAAIgp+5SAvf/++/X9739fV1xxhauKaE5ubq4efvjh/R0fEL4K2O4kYPeqApYELADEJOI8xGQCdvhwErB7WwHr83k9GgAA2nYC1k496927d30lRIDP59Pq1avdz5KTk3X55Ze31jiBkE/ANbTrUK+HExW6ZfoD88KyQlXVVnk9HABAKyPOQyxOwOUqYKdM8XpEkS83V7Lf/fJyqajI69EAANC2e8AOGDBAhYWFTW7fsmWLOy1tb02ePNmdxpaamqpRo0Zp+vTpu7zviy++qOHDhysnJ0ft2rVzM/U+8cQTe/2caNvG3zheY68aq+/c/B13PaM6Q1dee6Xy5+R7PbSIl5Gc4RazcftGr4cDAGhlxHmIdreMH68JY8dq0hlnuAm4SpOTNeGmmzQvnzhvjxIT/UlYQxsCAAC8TcBaBURztm/f7oLrvfHss89qwoQJuu222zR79mwNGTJEp556qgp2MeNmhw4ddMstt2jatGn68ssvdeWVV7rlzTff3JeXgjaqoKhAeePylDQ8yV3v17Ofu15RU+H10KICbQgAIHYR5yHalRcUaFJeniakpbnr7Xr21KTBg1VbQZy3V31gmYgLAABvWhBYAG3i4uJ06623Kj09vf5ntbW1+uKLL1ylwt5O9HD11Ve74No88MADev311/XII4/o5ptvbnL/E044ocH166+/Xo8//rg++eQTF9ADe2Pd9nUNEopo+URcX2/52iVgB2qg18MBALQC4jzEnEACcRe9jLELtr/mzPHvv0A1LAAACF8CNn/HaTtWGTFv3jzX/yvA1q2q4aabbmrx9qqqqjRr1ixNnDix/jbrNzZmzBhX+bAnNo733nvPzdJ75513NnufyspKtwQUFxe3eHyIfetL/IF598zuXg8lKvvAWg9dErAAEBuI8xBz1vkPtKs7cd4+T8Q1ZIjXowEAoO0lYN9//313aVUMf/nLX5SVlbVfT279xayiokuXLg1ut+uLFi3a5eOKiorUo0cPF3AnJCToH//4h771rW81e9877rhDv/vd7/ZrnIhN26u2q6SqpL6iEy0XqBguKC1QrWq9Hg4AoBUQ5yGm1NRIgVYXJGD3TuB3dvt2ZdpkXAAAwJsesI8++uh+B+X7IzMzU3PmzNGMGTN0++23u1PmPvjgg2bva1UXFsgHFpu9FzDrSvxVEZ3SOyk5YWeVD/YsOyVbaYlpqvPVqTiJaiMAiCXEeYgJlnytq5OsD2x2ttejiS5W/d6pk1vtuW2b16MBAKBtVcB++9vf1mOPPeYCclvfHZvBtiU6derkKhs2bmw4k7pd7xpo/t4MO31t4ED/ac/Wi2zhwoWuAqJx3zCTkpLiFqAx2g/sO+sPaFWwy7ct17ZkAnMAiHbEeYjZ9gN2On1cnNejiT623woL1YMELAAA4a2Azc7OdkmXwPrulpayfmLDhg3Tu+++W39bXV2duz569OgWb8ceE9z/C2gJJuDaP4G2DVuTt3o9FADAfiLOQ8yh/+v+2XGQhApYAADCXAFrp6M1t76/7LSyyy+/XMOHD9fIkSN13333qbS0tH623Msuu8z1AbPKB2OXdt8BAwa4YPx///ufnnjiCd1///2tNia0DVTAts5EXNuSCMwBINoR5yHm2ARSwRNKYe/s2G89tnKgHQCAsE/CFVBeXu5mpk1PT3fXV65cqZdeekmDBg3SKaecslfbuuiii7Rp0ybdeuut2rBhgzvVbOrUqfUTNqxatcqdihZgQfu1116rNWvWKC0tTQcffLCefPJJtx2gpSriK5iAaz8FKoctAVtTV6PE+H365wQAEGGI8xDtEmprmYCrlRKwHcvKpC1bpA4dvB4RAABRbZ8yJueee67rD/bjH/9Y27ZtcxUNdpqZzXY7adIkXXPNNXu1veuuu84tzWk86cIf//hHtwD7I3DaPBNw7bsOaR3cvqtSlRYVLtLg3MFeDwkA0AqI8xDtuhUVMQHX/kpNldq3l6wCNj9fOvlkr0cEAEDb6AEbbPbs2Tr22GPd+n/+8x83kYJVR/z73//WX//619YeIxCyBCztB/ad9QoMVA/nr8/3ejgAgFZCnIdo1yvQt5QJuPZPoH2DJWABAED4E7BlZWXKzMx062+99ZarkrDTx4488kgXoAPRkoBlAq79E9h/s9fP9nooAIBWQpyHaNcr0LeU9gOtMhGXZhPnAQDgSQJ24MCBevnll7V69Wq9+eab9f3ACgoKlJWVtd+DAsKVgO2R2cProUS1QAXs7A0E5gAQK4jzEO16koBt3QpYErAAAHiTgLWJFG666Sb17dtXo0aN0ujRo+urJA4//PD9HxUQQutK1qkioUJx2nkKPfavAtZaENT56rweDgCgFRDnIaqVl/t7wBoSsK1TAbtkiVTin7wWAACEcRKu73znOzrmmGO0fv16DRkypP72k08+Weeff/4+DgUIjxlrZ7jLzu06KykhyevhRDXbh/F18SqpKtGyLct0QMcDvB4SAGA/Eechqs2dqwSfT2rXTqJie/9kZGhbWppyysvdftUxx3g9IgAA2lYC1tiEDLYEs1lygUg3c91Md8kEXPsvPi5e2dXZ2pqyVfkb8knAAkCMIM5D1Jo5c2f1KxNw7bc1OTn+BKxNxEUCFgCA8CZgS0tL9ec//1nvvvuu6wdWV9fw1OPly5fv+4iAEJu5fkcCNoMEbGtoX93eJWBtIq4L8y70ejgAgP1EnIeYSMAG+pdiv6zNydHg9evpAwsAgBcJ2KuuukoffvihLr30UnXr1k1xHF1GlPD5fFTAtrKcqhx3aQlYAED0I85DzFTAYr+tad/ev0ICFgCA8Cdg33jjDb3++us6+uij9+/ZgTBbVbRKhWWFivPFqUtGF6+HE3MJWEtw80UdAKIbcR6i1vbt0sKF/nUSsK1WAevMny9VVEipqV4PCQCAqBS/Lw9q3769OnTo0PqjAUIsUP1qfUsT4/e5BTKCBPbl5vLNWl282uvhAAD2E3EeotacOVJdnZs4SpmZXo8mJrh92amTVFsrzZvn9XAAAGhbCdg//OEPuvXWW1VWVtb6IwLCkIBtX7XjdCrstwQlKK9znlvPX5/v9XAAAPuJOA/R3n5gdeC0eew/O7PpiCP86zYRFwAA2Cf7VAJ4zz33aNmyZerSpYv69u2rpKSkBj+fTY8gRPgEXCRgW9cR3Y7Q3I1zXRuCcw8+1+vhAAD2A3EeYiEBe6jXY4klloB96y36wAIAEO4E7Hnnnbc/zwl4PgEXCdjWdXjXw/WoHtXsDQTmABDtiPMQtWbMaDhxFFrH4Yf7L0nAAgAQ3gTsbbfdtu/PCHhk2dZl2laxTSkJKa5vKVq3AtZYBSwAILoR5yEqFRVJS5a4VVoQtLJAC4Ivv5Sqq6VGVfEAACBEPWDNtm3b9NBDD2nixInasmVL/Slpa9eu3ddNAiEVqH4d2nWo4vf9o49mDOk6RHGK07qSddq4faPXwwEA7CfiPESdQHVmnz4qTUnxejSxpX9/KStLqqyUFi70ejQAAESlfcpCffnllzrwwAN155136u6773ZBunnxxRddoA5EcgJ2ePfhXg8l5mQkZ+igTge59fwNTNAAANGMOA/R3P9Vw4nzWl18/M42BEzEBQBA+BKwEyZM0BVXXKGvv/5aqamp9befccYZ+uijj/ZtJECIkYANLdoQAEBsIM5DVCIBG542BPSBBQAgfAnYGTNm6Ec/+lGT23v06KENGzbs20iAEKrz1WnW+llunQRs6CbiMiRgASC6EechqhOwI0Z4PZLYxERcAACEPwGbkpKi4uLiJrcvWbJEnTt33r8RASGwZPMSba/arvSkdB3c6WCvhxOTqIAFgNhAnIeoY32Kly9vWKmJ1hXYr9aCoK7O69EAANA2ErDnnHOOfv/736vaZsGUFBcXp1WrVumXv/ylLrjggtYeI7DfZqydUZ8kTIxP9Ho4MSV/Vr7GXjVWf/nTX9z1b7Z9o3OvPlfjbxzv9dAAAPuAOA9RW/06cKDUvr3Xo4kps/LzNWHsWN10662qSkiQSkt1xxln6JbxxHkAAIQ8AXvPPfdo+/btrgqivLxcxx9/vAYOHKjMzEzdfvvt+7JJIDz9X7vRfqC1VfgqlDcuT4d/73DlpOa423LOyFFBUYHXQwMA7APiPEQd+r+GTEJFhSbl5enuQw9Vcrdu7raJGRkqLyDOAwBgb+xTKWB2drbefvttffrpp5o7d64L0o844giNGTNmXzYHhNzM9UzAFQ7dMrppW8U2rd++XtnK9no4AIB9QJyHqEMCNjy6dpXWrJHWr5e6d/d6NAAAxHYCtq6uTo899phefPFFrVixwp2W1q9fP3Xt2lU+n89dByJJTV2N8tfnu3USsKHVNaOrFhYu1IbtG0jAAkAUIs5DVCIBGx47KmBJwAIAEOIWBBZ4W1+wq666SmvXrtWhhx6qvLw8rVy5UldccYXOP//8fRgCEFoLNy1UeU25MpMzdUDHA7weTsxXwBqrgAUARBfiPESljRul1autWbF0+OFej6btJGB9Pq9HAwBA7FbAWkXERx99pHfffVcnnnhig5+99957Ou+88/Tvf/9bl112WWuPE9hn09dOd5fDug9TfNw+tT1GC3XL9AfmhWWFqomr8Xo4AIC9QJyHqDTDP9GqDjpIysryejSxrXNnKT5eqqhQ+7Iyr0cDAEBU2ats1DPPPKNf/epXTYJyc9JJJ+nmm2/WU0891ZrjA/bbtDXT3OWRPY70eigxLyM5w1Uam21J27weDgBgLxDnISpN88d5OpI4L+QSE6XcXLfacxtxHgAAIUvAfvnllzrttNN2+fPTTz/dTdYARGICdnSv0V4PpU21IdiWTGAOANGEOA9RnYAdTZwXzjYEPbZu9XokAADEbgJ2y5Yt6tKlyy5/bj/byh9jRJBtFdu0YNMCt35kTyojwqFrZld3SQUsAEQX4jxEnZoaabq/1RQJ2PAmYKmABQAghD1ga2trlWinnuxCQkKCaiwQAiLEF2u+cJftqttp/PXj62/Pn5OvvHF5Ho4s9itgtybzJR0AoglxHqLOV19JpaWqSEzULb/7nXw2EZekefn5Uh5xXkh09R9oJwELAEAIE7A2O67NgpuSktLszysrK/fy6YHwtB8Y0GOA8sbsDMSnzdxxuhpCloAtTipWRU2FUhNTvR4SAKAFiPMQre0HUnv31j2DB9fffFKgLQFan1XJx8Upq6JCWr++viIWAAC0YgL28ssv3+N9mBkXkZiA7ZnV0+uhtBlZKVlKS0xTeU25vir4SsO7D/d6SACAFiDOQ9QJJFp7EueFTXKy1KmTtGmTNHu2dOaZXo8IAIDYS8A++uijoRsJ0MrqfHX1LQhIwIZPXFycumV20/Kty5W/Pp8ELABECeI8RB0SsN6wqldLwFqrBxKwAAC0/iRcQDRZuGmhiiqLlFCXoC4Zu55UBKFrQzB7/WyvhwIAAGKRJQCXLvWvk4D1pA+sq4AFAAAtQgIWMd9+oENVB8XH8VEPp64Z/sB89gYCcwAAEAKff+4uNmZmSmlpXo+mbQn0fSUBCwBAi5GVQsyatnpnAhbeVMDO3TBX1bXVXg8HAADEaPuBFR07ej2StlsBu3KltHmz16MBACAqkIBFzPpszWfusmMlgXm4dUjroMS6RFXWVmpR4SKvhwMAAGLNZ/44b2UHDrSHXWqqCtu1869bH1gAALBHJGARkwpKC+oTf52qOnk9nDY5EVdOVY5bz99AYA4AAFpRZWV9C4LlnYjzvLCmfXv/CglYAABahAQsYtInqz5xl4fmHqrkumSvh9Mm5VT7E7BMxAUAAFrVzJn+JGznziqwHrAIuzU5/jiPPrAAALQMCVjEpI9WfuQuj+19rNdDabPaV/krI2atn+X1UAAAQCz5yB/n6dhj7bQbr0fTJq0NJGBnEecBANASJGARkz5e9bG7PK7PcV4Ppc2qb0GwPl+1dbVeDwcAAMSKj/1xno4jzvO8BcHXX0tFRV4PBwCAiEcCFjGnuLJYczbMcevH9qEC1itZNVlql9ROpdWlTMQFAABaR22t9OmnOytg4YnSlBSpb1//FapgAQDYIxKwiDmfrf5Mdb46DWg/QN0zu3s9nDYrTnEa1n2YW5++drrXwwEAALHgyy+l4mLJer8OGeL1aNq2ESP8l9OJ8wAA2BMSsIg5H6/0n5ZG9av3RnT3B+Yz1s3weigAACCW2g8cfbSUkOD1aNq2QAJ2BnEeAAB7krjHewBR5qNVTMAVCfJn5Wt12mqpkzTlsyna9NIm5WbnavI9k70eGgAAiIUJuOCZWfn5mrxpk8ZL2vrGG/rD2LFKy83V7ZOJ8wAAiNgK2MmTJ6tv375KTU3VqFGjNH03p7E8+OCDOvbYY9W+fXu3jBkzZrf3R9tSUVNRf7o7E3B5q8JXoVFnjHLrRSlFOui7B6mgqMDrYQEAwow4D63G52MCrgiRUFGh8aNHu/X25eWa1KePyguI8wAAiNgE7LPPPqsJEybotttu0+zZszVkyBCdeuqpKtjFH/APPvhAl1xyid5//31NmzZNvXr10imnnKK1a9eGfeyIPF+s+UJVtVXqmtHV9YCFt3JSc5SWmOZ68m7cvtHr4QAAwow4D61q8WLJPjs2AVTg9Hd4x96Hzp396/yOAgAQ2QnYSZMm6eqrr9aVV16pQYMG6YEHHlB6eroeeeSRZu//1FNP6dprr9XQoUN18MEH66GHHlJdXZ3efffdsI8dkee9b95zlyf1O0lxcXFeD6fNs/egR1YPt762hMAcANoa4jy0qvfe29n/1ZJ/8F4Pf5yndeu8HgkAABHN0wRsVVWVZs2a5U4vqx9QfLy7blUPLVFWVqbq6mp16NCh2Z9XVlaquLi4wYLY9d6KHQnYvid5PRTs0D2zu7tcV0JgDgBtCXEeQpaAPYk4L2J098d5VMACABDBCdjCwkLV1taqS5cuDW636xs2bGjRNn75y1+qe/fuDYL7YHfccYeys7PrFzuVDbGptKpUn6/5vL4CFpGhRyYVsADQFhHnoVXV1Unvv+9fJwEbmRWw1qMXAABEZguC/fHnP/9ZU6ZM0UsvveQmdmjOxIkTVVRUVL+sXr067ONEeHyy6hPV1NWob05f9Wvfz+vhoFEFbGFZoarjqr0eDgAgShDnoYEvv5S2bJEyMqThw70eDQLsAEtCglRerg6lpV6PBgCAiJXo5ZN36tRJCQkJ2rix4eQ8dr1r1667fezdd9/tAvN33nlHhx122C7vl5KS4ha0nf6vJ/Y90euhIEhGcoayU7JVVFmkrclbvR4OACBMiPMQkvYDxx4rJSV5PRoEWPLVkrDr1qn3VuI8AAAisgI2OTlZw4YNazCxQmCihdGjR+/ycf/3f/+nP/zhD5o6daqGcwQcO7y/wn9aGu0HIrcKlgQsALQdxHloVbQfiPg2BL2tQhkAAEReBayZMGGCLr/8chdgjxw5Uvfdd59KS0vdbLnmsssuU48ePVyPL3PnnXfq1ltv1dNPP62+ffvW9xDLyMhwC9qmbRXbNHPtTClOmjJ5il6pfaX+Z/lz8pU3Ls/T8bV1loBdWLhQW5IJzAGgLSHOQ6uoqVHFm2/KGlHcM3Wq1n7xRf2P5uXnS3nEeZEwEVcvKmABAIjcBOxFF12kTZs2uWDbguyhQ4e6iofAhA2rVq1yM+YG3H///W5W3e985zsNtnPbbbfpt7/9bdjHj8jw0cqP5IvzqWNaRw2/pGG1zLSZLZtpGaGfiIsKWABoW4jz0CpmzVJqdbWUmqobjzpKCvrMnDSNOC9SKmB7WgK2pkZK9PwrJgAAESci/jped911bmnOBx980OD6ihUrwjQqRJN3l/tPb2TyrchuQVCWWKaC0gLltsv1ekgAgDAhzsN+C7Sx6Nu3QfIVEaJjR+s5opSqKmnhQunQQ70eEQAAEYcIBjHh7eVvu8t+OSRgI1FKYoo6pXdy6zPWzvB6OAAAIJq87Y/z1I84LyJZUnxHGwLNIM4DAKA5JGAR9dYUr3H9ReWT+rfv7/VwsIc2BNPXTvd6KAAAIFps3y59+ql/fcAAr0eDXQkkYKcT5wEA0BwSsIh6by/zV0V0qOqg1ESbngGR3IZgxjoqIwAAQAt99JFUXa3N6elShw5ejwZ76ANLBSwAAM0jAYuo99byt9xllwr/hB6I/ASsz+fzejgAACAavOWP85bYxG1xcV6PBnuqgP3yS6miwuvRAAAQcUjAIqrV+erqK2BJwEa2rhldFeeLU2FZoVYWrfR6OAAAIIoSsIstAYvIlZ2tkpQUqaZGmjvX69EAABBxSMAiquWvz9fm8s3KTM50LQgQuRLjE5VTnePW6QMLAAD2aM0aaeFCN8nT17m5Xo8GuxMXp1Xt2/vX6QMLAEATJGAR1d5e7q9+PanfSYrn4xzx2lf5A/MZa+kPBgAA9uBtf5ynESNUnpzs9WiwB6sDPXrpAwsAQBNkrBDV3lrmPy3tlAGneD0UtECgSpmJuAAAQEvbD+gU4rxosDpQAUsCFgCAJkjAImqVVpXq09WfuvVv9f+W18PBXlTAzlw3U7V1tV4PBwAARKq6Oumdd/zr3yLOiwarAhWwixZJRUVeDwcAgIhCAhZRafyN43XKhFNUVVuldjXtNPGXE5U/J9/rYWEPsqqz1C6pnUqrS7WocJHXwwEAABHolvHjdZ8lXQsLVZ6YqJvuu0/z8onzIl2pTcLVt6//yqxZXg8HAICIQgIWUamgqEBVQ6rc+qDegzR43GBV1FR4PSzsQZziNKz7MLdOGwIAANCc8oIC3VDrP1Mm7YADdPehh6q2gjgvKowY4b+kDQEAAA2QgEVU8smnpVuWuvWBHQZ6PRzshRHd/YH59LXMkAsAAHZhqT/O00DivKgycqT/cjpxHgAAwUjAIiqVJJZoW8U2JcQlqG/OjlOdEFUJWCpgAQBAc9pVVkpr1/qvkICNLlTAAgDQrMTmbwYi24bUDe6yT04fJSckez0ctFD+rHxt/9t2qbs0a+0sffuqbytBCcrNztXkeyZ7PTwAABABDtq40b/SpYuUleX1cNBCs/LzNfHee3W7VfmsXq3bzj5bJampSsvN1e2TifMAAG0bFbCIShvS/AlY2g9ElwpfhUZePFJpiWnyxfnU8ZyOyhuX53r6AgAAmEM2+OM8ql+jS0JFhe4YOlTxnTu767/LyNCkvDzX0xcAgLaOBCyizvaq7SpMKXTrB3Q4wOvhYC/FxcWpR2YPt762ZMfphQAAAKauTgeRgI1uPfxxntat83okAABEDBKwiDrvf/O+6uLqlJOao45pHb0eDvZB98zu7nJdCYE5AAAIMnOmMqqqpJQUqVcvr0eDfdHdH+eRgAUAYCcSsIg6byx9o779gFVTIvr0yKICFgAANOMNf5yn/v2lhASvR4P9qYC1idR8Pq9HAwBARCABi6ji8/l2JmDbc1patFfAFpYVqrKm0uvhAACASEvA0n4getnkaZY8Ly+Xtm71ejQAAEQEErCIKos3L9aKbSsU74tXv/b9vB4O9lFGcoayU7LdOlWwAADAKSyUpk/3r5OAjV6WfO3adWcVLAAAIAGL6PLG1/6qiE6VnZSckOz1cLAfemb1dJdritd4PRQAABAJ3nrLnbK+LjtbysryejTYHz39cZ7WEOcBAGBIwCKqBNoPdC3fcVQdUZ+AXVtMZQQAANjZfmCRncKO6EYCFgCABkjAImqUVpXqw5UfuvWuFSRgY6YCtmSNfGKCBgAA2rS6OunNN93qwsDp64j+BOyGDUqqrfV6NAAAeI4ELKLG+yveV1Vtlfpk91FmTabXw8F+6prRVQlxCSqrLlNpYqnXwwEAAF6aNUvatEnKzNQ3nTp5PRrsL2sjkZHhEus9mIgLAAASsIi+/q+nDzxdcYrzejjYT4nxieqW0c2tb07e7PVwAABABLQf0JgxqovnK0rUi4urr4Lts2WL16MBAMBzRDeICj6fr77/6+kHnO71cNDKbQi2JBOYAwDQpgUSsKcT58WMHQnYvps50A4AAAlYRIWFhQv1zbZvlJKQopP7nez1cNDKCdjNKQTmAAC0WQUF0hdf+NfPOMPr0aC1UAELAEC9xJ2rQOQZf+N4FRQVaFHmIilHar+9va649grlz8lX3rg8r4eHVkrAFiUVuV6w6UnpXg8JAACEyS3jx6u8oEAjVqzQJT6fVufk6N4bbtC8/Hwpjzgv6nXr5loR5JSXS2vW7JyYCwCANogKWEQ0S75aorW4d7G7fsShR7jrFTUVXg8NrSArJUuZyZnyxfk0c91Mr4cDAADCyJKvk/LydEmpfzLOXocd5q7XVhDnxYTkZKlLF//6tGlejwYAAE+RgEXEs8rI1cWr3fqBHQ/0ejhoRXFxcfVVsJ+v+dzr4QAAgHCrqZGWLfOvH0icF3MCVa+fE+cBANo2ErCIeEu3LJVPPnVp10XZqdleDwetLJCAnbaGyggAANqclSulqiopI0Pq3t3r0SBUCVgqYAEAbRwJWES8JZuXuMsDOh7g9VAQAsEVsD6fz+vhAACAcFrij/N0wAGuXyhiNAE7e7ZUWen1aAAA8AwJWES0OtW5ClhzUMeDvB4OQqBbRjfF+eK0YfsGrSpa5fVwAABAuNiB10AClvYDsalDB223XrCWfJ071+vRAADgGRKwiGiFKYWqrK1UelK6umdyWlosSkpIUk51jlunDQEAAG1Hl5ISads2KSFB6t/f6+EgFOLitLJDB/86bQgAAG0YCVhEtPVp693lgR0OVHwcH9dY1aHSH5gzERcAAG3HoPX+OE/9+klWJYmYtLJjR/8KE3EBANowMlqIaOtT/YE5/V9jW8cqf2BOAhYAgLYjb926nf1fEbPqK2BJwAIA2jASsIjoybe2J213la8D2g/wejgIQwXs7PWzVVFT4fVwAABAqG3erL6bN/vX6f8a01ZZAtYmWFuxQtqwwevhAADgCRKwiFivLXnNXfbN6auUxBSvh4MQalfbTp3TO6u6rlr56/O9Hg4AAAi1qVP9X0Ryc6Ucfy94xKbKpCQpL89/hSpYAEAbRQIWEeu/S/5b3/8VsS1OcRrda7Rbpw0BAABtwH/9cR7Vr23EaH+cRwIWANBWkYBFRNpWsU0fr/zYrR/YkcC8LTiyx5HuctoaZsgFACCmVVe7CliHBGzbcKQ/ztM04jwAQNtEAhYRaerSqar11SqrOkvt09p7PRyEwZE9ScACANAmfPKJVFSk7cnJUo8eXo8G4UzAzpjhT8ADANDGkIBFRLcf6Fre1euhIExG9hipxPhErSleo5XbVno9HAAAECo72g8s7NZNiufrSJtw8MFS+/ZSebmUT79/AEDbQ8SDiFNZU1k/AVf38u5eDwdh0i65nYZ1G+bWP1r5kdfDAQAAoeDzSS++6Fa/6k6c12ZYov3YY/3rHxHnAQDaHhKwiDjvffOeiiuL1S2jmzpWdfR6OAiD/Fn5GnvVWG1duNVdv+3J2zT+xvFeDwsAALQ2q35cuVJKS9OiLl28Hg3CYFZ+viaMHatXVqxw17+aNEm3jCfOAwC0LZ4nYCdPnqy+ffsqNTVVo0aN0vTp03d53/nz5+uCCy5w94+Li9N9990X1rEiPF5c6K+KOP/g8xWnOK+HgzCo8FUob1yehh3lr4At7lysgqICr4cFAGgFxHpoYEf1q04/XdWJiV6PBmGQUFGhSXl5OnfkSHd98Natqti40ethAQDQdhKwzz77rCZMmKDbbrtNs2fP1pAhQ3TqqaeqoKD5xEtZWZn69++vP//5z+rald6gsaimrkYvL37ZrX/7kG97PRyEWa+sXu5yc/lmVcRXeD0cAMB+ItZDEy+84L/8NnFem2M9f5OSpIoKdS0q8no0AAC0nQTspEmTdPXVV+vKK6/UoEGD9MADDyg9PV2PPPJIs/cfMWKE7rrrLl188cVKSUkJ+3gRep+s+kSFZYXqkNZBx/U5zuvhIMzSktLUpZ3/dMTClEKvhwMA2E/Eemhg4UJp0SJ/Eu6ss7weDbzoA9u7t1sdUEicBwBoWzxLwFZVVWnWrFkaM2bMzsHEx7vr06ZNa7XnqaysVHFxcYMFkd9+4NyDzlVSQpLXw4EH+uT0cZebUjZ5PRQAQITHesR5Udp+wD4T2dlejwZe2JGA7U8CFgDQxniWgC0sLFRtba26NGq+b9c3bNjQas9zxx13KDs7u37p1ct/ijMiT52vrj4BS/uBtqtPtj8BSwUsAES3cMR6xHlR2n7gggu8Hgm80scf5/XftEny+bweDQAAbWcSrlCbOHGiioqK6pfVq1d7PSTswrTV07S2ZK0ykjM0pv/Oahm0Lb2z/ZURRUlF2lq+1evhAAAiGHFeFPn6ayk/X0pIkM45x+vRwCs9erjPQFZlpf8zAQBAG+FZArZTp05KSEjQxkYzYNr11px0wfqHZWVlNVgQmZ6e93R99WtqYqrXw4FHLAHfMa2jFOfvCQwAiE7hiPWI86LIM8/sbD/QubPXo4FXEhOlnj396x9+6PVoAACI/QRscnKyhg0bpnfffbf+trq6Ond99OjRXg0LHqmurdZzC55z698d/F2vhwOP9c3p6y7f/Wbnvw8AgOhCrId6dqr50/4D7foucV6b19cf5yno3wYAAGJdopdPPmHCBF1++eUaPny4Ro4cqfvuu0+lpaVuplxz2WWXqUePHq6/V2AyhwULFtSvr127VnPmzFFGRoYGDhzo5UvBfnpn+TsqLCtU5/TOOrn/yV4PBx7r376/Zq2fpbeXv+31UAAA+4FYD461Hli8WEpNlc47z+vRwGv9+/urXy0BW1dns/N5PSIAAGI7AXvRRRdp06ZNuvXWW91kDEOHDtXUqVPrJ2tYtWqVmy03YN26dTr88MPrr999991uOf744/XBBx948hrQOp7+yl8VcVHeRUqM9/RjiQjQL6ef5JMWbFqgdSXr1D2zu9dDAgDsA2I9OIHq17PPlmgTgR49VJGYqNTCQmnuXCnodx4AgFjleabruuuuc0tzGgfaffv2lY/ZMmNOWXWZXl70slv/7qGclgYpLSlN7avba2vyVlcdfdmQy7weEgBgHxHrtXFW4Thlin+d9gMwCQla1rmz8tavl95+mwQsAKBN4HwPeO6/i/+r7VXbXd/PI3se6fVwECFyK3LdpSVgAQBAlProI2ntWik7Wzr9dK9HgwixJNcf5+kd4jwAQNtAAhaee3TOo/WTb8XFxXk9HESILhVd6hOwVEMBABClHnvMf/md70gpKV6PBhFiyY42JPr4Y6miwuvhAAAQciRg4amV21bqrWVvufXvH/59r4eDCNKxsqNSE1O1fvt61wsWAABEmaIi6bnn/OtXXeX1aBBBNmZmSt27+5Ovn37q9XAAAAg5ErDwvPrVJ59O6neSBnQY4PVwEEESlKDj+hzn1mlDAABAFHrmGam8XMrLk0aN8no0iCR21tuYMf512hAAANoAzyfhQttVW1erR/IfcetXHX6Vxt84XgVFBQ3ukz8nX3nj8jwaIbw2pt8YVyH91vK3dP2R13s9HAAAsDceesh/edVVuuW661Re0DDOm5ef70/Oom2yBOy//y299ZZ0xx1ejwYAgJAiAQvPvL38ba0uXq32qe11/iHn68WiF5skW6fNnObZ+OC90waepl+88wu99817KqsuU3pSutdDAgAALWHJ1VmzpORkadw4lV9zjSY1SraeNI04r0075RR/Jezs2dK6df6WBAAAxChaEMAzD832V0Vcetilrtcn0Njg3MHqk91HFTUVtCEAACCaPPyw//L886VOnbweDSKRTcQ1cqR//bXXvB4NAAAhRQIWnlhTvEYvL3rZrV91BJMyoHlxcXE656Bz3Pqri1/1ejgAAKAliov9p5abH/zA69Egkp3jj/P0KnEeACC2kYBF2Fmv1zG/G6NaX606V3TW72/5vcZeNdb1ewUaO/vAs93la0teU52vzuvhAACA3bhl/Hi9dNxxUkmJNmRmasI//6kJY8f6+70CjZ3tj/P07rtSaanXowEAIGToAYuwW1e8Tiv7rpRqpJOGnaSDOx3sbqffK4Llz8p3ifk61SmxR6I2lm7UmPFjdEjaIZp8z2SvhwcAAJpRsXGjzl+1yq13Pe44TRo82K3T7xXBZuXnu8S8fD7dkp6ujmVleviUU7R86FDdPpk4DwAQe0jAIuxWpa9yPT1t8q0DOx7o9XAQoSp8FfWTsi1esFjzN81XzYgaFXzacAZlAAAQOQatXy9t3SqlpkpDhng9HESohIqKnZOyrV4tTZ+uH5SXa0IBcR4AIDbRggBh5fP59HXm1259ZI+Rio/jI4g9CyTqF29e7PVQAADAbhz/tT/O07BhUlKS18NBNDjoIP/lkiWK8/m8Hg0AACFB9gthNXXpVJUklSg5IVmHdz3c6+EgShzQ4QDFKU4FpQXanrDd6+EAAIDmzJ6tgZs22SyaO2e3B/akTx8pJcX1gO29ZYvXowEAICRIwCKs1a9//PiPbv2IbkcoJTHF6yEhSqQlpalvTl+3vjp9tdfDAQAAzfmjP86T9X3NyvJ6NIgWCQnSgf6znQ63dgQAAMQgErAIm/dXvK/PVn+meF+8jup5lNfDQZQ5NPdQd7m63WqXzAcAABFk3jzppZdUZ+vHHuv1aBBtDvXHeUMtAVtT4/VoAABodSRgETZ//MhfFdFvez9lpmR6PRxEmUM6H6KEuAQVJxVrXsE8r4cDAACC/elP7uLLHj2kzp29Hg2iTf/+Ulqasiorpffe83o0AAC0OhKwCItPV33qKmCT4pN0UMmORvvAXkhNTK2fjOvpeU97PRwAABCweLH07LNu9Z1DDvF6NIjWNgR5ef71p4nzAACxhwQswuK3H/7WXV4x9Aql16Z7PRxEqcG5g+sTsHU+d5IjAADw2h/+YM3+pXPO0bqcHK9HgyhvQ6AXX5TKy70eDQAArYoELELu7WVv653l77jq14nHTPR6OIhiB3Q4QIl1iVpdvNpVVQMAAI/NmbOzYvG227weDaJZr17akp4ulZRIr7/u9WgAAGhVJGARUtfeeK0ufORCt96nqI9+8fNfKH9OvtfDQpRKSkhSj/Iebv3xuY97PRwAANq0W8aP16LTTnPVr7N79dKEO+7QvHziPOyjuDjl9+rlX3+cOA8AEFtIwCKkZlXP0rbkbUpJSNH5p56vvHF5qqip8HpYiGJ9t/etb0OwtXyr18MBAKDN6jlvng7euFGKj9cR55+vSXl5qq0gzsO+m97XH+e5CtgVK7weDgAArYYELEKmsqZS87Pnu/Wjex2t9CR6v2L/darqpMO6HKbymnI9OudRr4cDAEDbVFens776yr8+fLjUvr3XI0IM2JSZKX3rW/6ewvff7/VwAABoNSRgETJ3fXaXShNLlZGcoVE9R3k9HMSIOMXpuhHXufXJMyYzGRcAAF54+GH12rpVSk6WjjvO69Egllznj/P00ENMxgUAiBkkYBES32z9Rrd/fLtbP2XAKUpOSPZ6SIgh3z30u8pJzdHyrcs1delUr4cDAEDbUlgo3Xyzf/2EE6R27bweEWLJmWdKffpIW7ZIU6Z4PRoAAFoFCVi0Op/Pp5+88RPX67VzRWcN7jzY6yEhxrRLbqcrh17p1v8+/e9eDwcAgLbFkq9btmhddrY0irOc0MoSEqRrrvGv//3v/nYEAABEORKwaHWvLH5Fr3/9upLik3T41sMVFxfn9ZAQg64dca1rR/DG0jc0Z8Mcr4cDAEDb8Nlnrv2A+c/hh7sJuIBW94MfSKmp0uzZ0jvveD0aAAD2GxETWlVBaYF+9NqP3PqNo29UVk2W10NCjBrYYaAuHnyxW7/1/Vu9Hg4AALFv+3bp8sv961dcoRWdOnk9IsQq+2z9+Mf+9V//mipYAEDUIwGLVm09cPV/r3ZJ2MG5g3XbCbd5PSTEuN+e8FvFx8Xrv0v+q8/XfO71cAAAiG0TJkhLl0o9e0qTJnk9GrSFVhfp6dL06dJ//+v1aAAA2C+J+/dwYKeH8x/Wq4tfdRNuPXn+k0pNTPV6SIhB+bPyNfaqsfXXe7fvrRUZK/Sb93+jty9929OxAQAQs159VXrwQclaS/3731L79l6PCDFoVn6+JozdGeed2auXTl68WPrNb6SzzqLlBQAgapGARauYvX62rp96vVv/44l/1JCuQ7weEmJUha9CeePy6q/3qOihv37+V72z/B29u/xdndz/ZE/HBwBAzLGq1yuv3FkFe+KJXo8IMSqhokKT8nbGeerfX+WTJintyy+lKVOk737Xy+EBALDPOISI/bauZJ3OeeYclVWX6dQBp2rC6AleDwltSE5qjvpv7+/Wf/z6j1VeXe71kAAAiB3btklnny1t2SKNGCH98Y9ejwhtSVqaPjjwQP/6z37m/xwCABCFSMBiv1jS9bwp52ltyVod0ukQPfudZ5UQn+D1sNDGDC4arO6Z3bV0y1L99oPfej0cAABiQ3W1dNFF0qJFUo8e0iuv+GemB8LovYMOkg45RCoo8CdhAQCIQiRgsc9KKkt0xlNnaMa6GeqY1lH/veS/yk7N9npYaIOSfEl64MwH3Prd0+7WzHUzvR4SAADRrbJSuvBC6a23/BMh2SRI3bp5PSq0QbUJCdLDD+/sP/zGG14PCQCAvUYPWOyTreVbdcbTZ7iZ57NSsnR84fG6+Rc3N7lf/pz8Bv06gVA5+6CzdfHgizXlqyka9+I4fX7V5649AQAA2EtlZdIFF0hTp0opKXr8xBM1909/anK3efn5UnC/TiBURo+WfvpT6S9/ka66SpoxQ+re3etRAQDQYiRgsde+3PilLvrPRVpUuEgd0jrozXFv6s5b72w20Tpt5jRPxoi26a+n/VWfrPpEizcv1oXPX6j/fe9/SoznnzkAAFps2TLp4oulmTP9la+vvKK5//xnw4mRdjhpGnEewuj22/0V2QsXSuecI330kf8zCgBAFKAFAVqszlenf878p0Y9NMolX63n5geXf6Dh3Yd7PTTA6dyus2uF0S6pnd5e/rZ++sZP5fP5vB4WAACRz/5ePvusdMQR/uRrhw7Sm29KY8Z4PTLAr1076bXXpI4dpVmzpMsuk+rqvB4VAAAtQgIWLWKtBo56+Cg3y3xFTYXOOOAMzfnRHB3a5VCvhwY0MLTrUD317acUpzjdP/N+/eSNn6i2rtbrYQEAELm+/FL61rf8la/FxdLRR0tz5kjHHOP1yICG+veXXn5ZSk6WXnhB+t73/P2KAQCIcJybi1269sZrtaB8gZZkLdH6tPXutsS6RI2qGuWqDOPjyN8jMuTPytfYq8Y2uG1oxlDl5+Rr8ozJWleyziVl05LSPBsjAACR5Jbx49Vx8WKdsGSJhq5e7aoyauLj9dERR+ikDz6QEvmagMgwKz9fE8Y2jPOGHH64xs2YoYQpU6QNG6SXXpJy6P0PAIhcRFZooriy2E1kNCV1irZmbW1QWXhS35P0ys2v6KJNFzV4DJNtwUsVvoomn7885SnlhRTN7jJbLy16ScP+NUwPn/OwRvca7dk4AQCIiAm2XnhB33/uOQ0oLNx5+yGHKPFb39LvXn9dr11ySYOHMNkWvJRQUdG0B3Fenu5PTtY1VqltBwyGDpX+9S/plFO8GiYAALtFAhZOZU2l3lz2pku8vrL4FZVVl0nJUkJcgoZ0HaLRPUerU3qnXSa7mGwLkahneU/deemdGvv8WC0sXKijHzla1wy/RhOPnaieWT29Hh4AAOFRUyO99570zDPSiy+6NgMD7Pb4eGnwYP8M81277jLZxWRbiERfd+nin4jrvPOklSulU0+VLr1UuvVWaeBAr4cHAEADnEPexpOuby97W4fccogy/5Cpc6ecq2e+esYlXzOrM9Vxfkf97Mif6ewDz65PvgLR5rg+x2nBtQt02ZDL5JNP/5j5D/X/S3/94JUfaNrqaUzSBQCI3aSrJafGj9f2rCx/cuqxx1zydXO7dnrUJtm6/nrp/PPrk69A1LHK16++kn76UykuTnriCemgg/z9jN9/X6plHgAAQGSgAraNWbltpd5Y+oZb3l3+rkqrS12lq8lMzlRe5zwNzh2s7pnd9fBrD6tdcjuvhwy0Wm/YY1OO1bIOy7QucZ0emfOIW/rm9NX5B5+vMf3H6Pg+x4flMz/+xvEqKCpocntudq4m3zM55M8fKWNoDbHyOgCgVaxfL02dKr3xhvT229K2be7mDPtfero0aJCreO3Yu7eeePhhXWmJWSBGesP2PuEEnb5smQ5atUp69ln/0q2b/yCDTTJ34olSdnZY+iuXFzSNTdJyc3X75PDFJs2NI9xjiJV9CQCtgQRsjPdyzV+fr5nrZmrW+lnu8ustXze4T5d2XZS+MV3HHX2cemf3ZmItxJTG7TKsL+y6n63TCaNP0PKM5VqXtk4rtq3QvZ/f65Y4X5yyq7PVoaqDsqqz1Du5t/7yq7+oa0ZXpSamNti2Vc6W15RrW8U2txSWFaqgtMAtm0o3aVPZJpVXl6uitsJVm1fUVKimrsZNBDY7YbY6jeykpPgkpSSmKD0pXe2S2mneh/P05cYv1Tm9s6s6T0pI2qdkpFX61sbVuqUmrkbZWdm66Wc3udutrUhCfIK+Lv1aB377QKUkpLjXlhifqLi4OM1/cr6iib3e5vpPR9vrAIC9VloqWf/LWbP8y8yZ0oIFDe9jVa5nnaV/LV+uH55wgpSQ4NVogVbXXLuM41et0tljxuiYZct02Jo1SreDEv/4h1vqJG3MytKqDh20Ljtb23r10pV/+Yu/AtwOUDRWUeE/iGGL9Uu2RKAtmzb5F+unbPexpbJSqqqS0tL07dmzNaxTJyk52b/Yttu10wPz5vl/Zzt39i/2s31ISFZs3Kik2tr6JTM7Wz+76Saprs7/O75jyVi2TLfbQZe0NP+kenFxmjA/uuIjS7426f8rRd3rAABDAjbKVddW68pfXqlV5atUklSi7YnbVZJYovKUchXHFze5vyWYLLnUtbyrulZ0VU51jubMmaO+Z/b1ZPyAF0nZ4y88Xvaf/f7YQYmlW5bqy2VfqrZdrbYlb3OLmaM5evUvr7r1rJQsl6hMTkh2CVVLulbXVe/bINpJq9avanp7rjTkgSH1V3NSc1wytnO7zkpLTHMJ1EDy1/6zcVjLkMBS0K5Addl1qvU1Pd1uyoNTGt7QTXp7xtv1Vy0xa68vrmucRj00Su1T26t9WnvlpOS4S7tu47GEsSVrA4s9zsZS56tzi42tfj3o9sefeVzF5cU7X8OOy4y0DF347QtbtI3mbl+cuVjVG6qVkZzhktbZKdkukQwAMaGmRnddeaXarVqlziUl6rx9e/1lp9JSxTfTRmdV+/Za1LWrFnbt6hJNvrIyzVu/Xj8k+Yo2kpS96eijJVus/cCyZdLSpVqdn69eNTXqVlzsFmfuXOm11/zrGRn+RKklRaur/UlXS6rug2H2v9Wrm9z+Y/vf4YfvvMEq0APJ2HbtLMDz326Xttjzl5f7E707lt9u26YkS7Q2Zv2dG5lo/3vzTf8V6/ecmqqb7XLkSKl9eyknx38ZvJ6a6k/W2r8XgUtjz2ljsstm1v/z2GOqLi5WnM8ni8ICl8kZGTr3wgt3+9jdrZ+0aJE/sW3vT8eO/nHaawCAKBQRCdjJkyfrrrvu0oYNGzRkyBD97W9/00j7w7ALzz//vH7zm99oxYoVOuCAA3TnnXfqjDPOUKyxZIMledZvX6/1Jeu1qmiVq9ZbUbRC32z9xq2vLVmrusw6KbP5bfTK6qXh3YdrWLdhGtZ9mO6/834d/r2gP/ySPp/5eXheEBBhrMJ0UOdBbtl4/0Zd+OcL3e/UupJ1rqJ17Ya1qkqtUlVtlasot6Uxqxq3pF91SbU6dOzgWhhYRastlqyd8+oc9e7RW/H2ny/eVaWuXL9Sh555qEsAV9ZWqqyqzLUD2Vq4VSnZKdpcvtklFwPVtY0r13fJYuRG38UtSRpfHa/OOZ1dYrK2rtYlaLcVb1Nccpx7ba5i1lfrb0mSJE1fO12tLm3H0oyP3vho37ebI81bPK/+qlUVu+rhDkm685M7XUsVW6zCn8Qs4A3ivF2wBENJibRunb91gCVsVqyQvvnGf2nL6tX6+e56WFrl3vDh0rBhbrn1X//S74cNU29JwXPBM4kW2iRLHh54oFsuX7dO7110kf/3be1aV9G6Yc0adbXkniU6t2/3L41Z7JCdrU01NepsCUpLlFqidkey9u9z56pr796qiY9XbXy8q0jdvHKlrjnsMH/iMJBELS3V+i1b1M2qUa2a1n6vLRFsiyWJW6jJuVEJCSqLj1e6JXEtMWnb3bGUFxcrzXpBBxKbZWV2rF+aMUOt7Tu7+6H1ot5HZ9n/rMdvgCWFO3XSuKQk6fbb/ZMI2tKvH4lZABHP8wTss88+qwkTJuiBBx7QqFGjdN999+nUU0/V4sWLlZvr/kQ08Nlnn+mSSy7RHXfcobPOOktPP/20zjvvPM2ePVuD7R/fCBI4RXl71XaVVJaopKqkft1dVpU0WS8oK3DJ1nkr52m7tqsuvpkjnI1YUqdDuw7qmNZRHdI6uOTDrIdnaVj/YUpZnSLN91fy2X/z58xvkoAFIMUpTtmp2W6xhKyx35fnHnzOJUGttYAlK2256967VFJcouS6ZCX4Etxj8+fka9zd45psd9HSRTrnunMa3PbQDQ/p+GuPb3LfJ3/2pA4fdrhLiFbFV6kyvlLpWekad8U4l6gNjNMSiff98z71Pb6vSzhaItkuX77zZX331991SdfAbYG2As///vkGz2W9ce3Ufft3yl6TtUiwZeEbC/Wzn/zMveatFVu1tXyru3zzkzdVUluiOtXJF+dzl2VlZUptl+rG5Mbm81+Wl5YrvV26f6w7brP91eOQHvXjd4+Jk0pWleio4Ue52yyZbbd/+sWnyumf47/vjvvZ5dLPl6pzp84Nnmvjto3qelhXFVUWucS1VSXbQSurMr753ZvrX6/1uLZE7IEdD1TPrJ6uz7Ulya2y2NpC2KUlzANJ2nsn36utpVubvEft27XXz3/yc9e6waqBAy0cAuuBS5K9QOzHeS6pYaceW9LGEqmBy+D14NtssdOW16/X5rlzlVFaqpQWTBBkiZ1Eq/qy6q+g5fwPP1S/ESP8d7LTcefP17yFC/3JWABNZWb6J+iyRdL/zZ+vSc8950+CWmsB+32urtZf77xT27ZvV3lSkqoSE+WLi9O8/Hy9Pa5pnPfi4sV675yGcd5JDz2ka447rsl9L37ySQ07/HBXHZpWXa12lZXqmJ6uH9p27bmNxQ9xcfr3fffpsr59JUs0WtLRLpOSdMkLL+iZSy/deXt8vH5tr+P5hnGeuWXsWE2yFgRW0bujVcLfFizQT268Udq61b9Ype/WrZo9daqSi4uVWFfnKuttKS8tVYZVxMbFueP7vh2X28vLlZ6e7q4buywuKdHIHj3qxx94LXNLSjRk9Gh/ctSWuDjN+vRTDbN/0xrd979Ll6pj5871z2VKCwp0qh1osvfIEteWUN6wQUfYD3/9650v1hLi1qrA3ttevaTu3f3Jckt4B5aUlPrne/Dee1Vpr7+RlPbtdbW1c7D72mKvP7AeuG5V0iR7AURjAnbSpEm6+uqrdeWVV7rrFqC//vrreuSRR3TzzTu/PAf85S9/0Wmnnaaf//zn7vof/vAHvf322/r73//uHuu1i/5zkV6f97oqVel6L+7IS+y9oH/T7cu9JQ/itsTpvKPOU7/2/dzEQYHluhuu0+BxDb+UzC6crSN+7f40NTBtJhUQwN6wRJo7BT+tff1ttVtrNWLcji+9rfi71bhnbSApO2VLo/YBkgrnFOq0C05rcFvS9iSXQN7TZGTutjn57rns9bmkYWKKspWtwspCnXvwuU22MfYFf8K2cSL5qvuuanLf5m6327574Xeb3PfJh56Ub7O/pYIldd3rmJOk8884v+l2739Il953aZPtfm/c99y6Vfdastj6787/bL4OO/owfVXwlRYVLnIHuaatmeaWFrG52HYxH9vLj7y8x4dbMtfaM1hS2Rbru+sud3ObPcbeB3e5I5nb3Hrj2+yx1l/YKqrdZV11w/Ud1xtf2s9tDJaoDyTtA60l7DbbdvBz1T93ULLZJa2Dkur1yfUdvzvN/SxwGdxeoiWLvb825uYWq+AOrB/S6RD9aPiPWvY+I+RiLc7Tdddp22OPKaWqSsk1NUpopgVAS3QMvmJf6jMztSQ+Xgeefba/kssSLzuWX15/ve5pJvlc9O67TXojUukK7KUdFa7Bk3OtqKvTpMDBjVb83Wq2Z+2TT2pRM+0D5hUW6rLTGsZ5ZqMlXS2xuJvJyOq3kZ/vT0oGetFmZekbOwhk/8408qQlaxv/e/LQQ3rvqqZxXnO3u9u+2zTO+6klnW0l0FrAxpWUpLdtYrRG7rVtWHK50XZPDWzXHm8J402b9NpXX+msoUP9B5+s97W1aLDK3hZW9169ux++vOc4zyXAA/12LRkbuAxeb3ybPSaQyLX3Y3frwbfZYy2Jbslnu9zdevBit9tzBxL4wZe27GkMgfUdifPGCfM9LsEtJVqy2AFJG3NgaXw9sPTsKVmSHIhCniZgq6qqNGvWLE2c6DrUOPHx8RozZoym7eKPnN1ulRTBrJLi5V38Q1lZWemWgKKiIndZHOj908o2bt6o0qrSJrfbF9vaslqlJaQp0ZeohLoEd5mRmKFjhh3jJuDJTMlUx/SObsKfB//1oPJOz1NGUkb9RDzPTnxWG9dulP33uXa2Dfhy3pc64PwDGjxfXW2dKkub9i1q7va9uW9rbIP7Rud9I3lsobrvrOmzdN5l5zW5r/3ODTx/YFjGUFZT1uS5jFWJtnS7zW2jucd78Zr3Zmwt2W6m/ZeWqcrCSj3wLX+yxip8l21Zpol/m6gNVRtUkVDhFjtIZi0h4pPildsl190vYEPBBiVlNp0ErWRTiZLTkl2y2B5bF1fnlkBP24Aq7dwWwqtnTU9dcuAlIdl2IHawynG0zTjPvvjHl5bKOoA36AKemKgtdXWqS0tTZWKiKhMSVJ2YqOp27TT4mGP8CZNAD8OuXfXAQw/px5ZUtdt3TMRz5bPPaqhVeNkSlERY8OWXKj6gYZxnaurqVNyoR2Vzt3Hf2LpvJI8t2u77xaxZGn9e05jH/c4NHBiWMViP5t82ei5z1qefhmQb4X7NzY1tb15bk9vs38x27fRGebmOmzx5x51qXOuW5375S2WuX6/sigpllpcrubZWibW1So6PVy874yJoOwUbNijXkpGNrCopUbvkZMXX1blqYHt8os/XtO9uIMmJsFvXsaO6//CHIdk2cR5CzuehtWvXujMMPvvsswa3//znP/eNHDmy2cckJSX5nn766Qa3TZ482Zebm9vs/W+77Tb3HCwsLCwsLCwsrbGsXr26FaOh2EWcx8LCwsLCwhJtC3EeQsXzFgShZlUXwZUUdXV12rJlizp27OhJjz47qtKrVy+tXr1aWTbzJcKC/R5+7HNvsN+9wX5vG/vdKiJKSkrU3XrLISIQ58Gw373Bfg8/9rk32O/eIM5DrPE0AdupUyclJCRo48aNDW63612t2XYz7Pa9uX9KSopbguVY02+P2T8g/OMdfuz38GOfe4P97g32e+zv9+ygPoHYPeI8/i0IN/a7N9jv4cc+9wb73RvEeYgVnk7fl5ycrGHDhundd99tULlg10fbbInNsNuD729scoZd3R8AAADhR5wHAAAA+HnegsBOG7v88ss1fPhwjRw5Uvfdd59KS0vrZ8u97LLL1KNHD91xxx3u+vXXX6/jjz9e99xzj84880xNmTJFM2fO1L/+9S+PXwkAAACCEecBAAAAEZCAveiii7Rp0ybdeuut2rBhg4YOHaqpU6eqS5cu7uerVq1yM+YGHHXUUXr66af161//Wr/61a90wAEHuJlxB9tMslHATpO77bbbmpwuh9Biv4cf+9wb7HdvsN+9wX6PfMR5CAf2uzfY7+HHPvcG+90b7HfEmjibicvrQQAAAAAAAABALPK0BywAAAAAAAAAxDISsAAAAAAAAAAQIiRgAQAAAAAAACBESMACAAAAAAAAQIiQgPXIihUr9IMf/ED9+vVTWlqaBgwY4Gb4q6qq8npoMWfy5Mnq27evUlNTNWrUKE2fPt3rIcW0O+64QyNGjFBmZqZyc3N13nnnafHixV4Pq03585//rLi4ON1www1eDyXmrV27VuPGjVPHjh3dv+WHHnqoZs6c6fWwYlptba1+85vfNPj7+Yc//EHMKYpIQpwXPsR54UWcFxmI9cKHWC+8iPMQyxK9HkBbtWjRItXV1emf//ynBg4cqK+++kpXX321SktLdffdd3s9vJjx7LPPasKECXrggQdcUH7ffffp1FNPdYGiBY1ofR9++KHGjx/vgvOamhr96le/0imnnKIFCxaoXbt2Xg8v5s2YMcP9u3LYYYd5PZSYt3XrVh199NE68cQT9cYbb6hz5876+uuv1b59e6+HFtPuvPNO3X///Xr88ceVl5fnvgRdeeWVys7O1k9/+lOvhwc4xHnhQZwXfsR53iPWCx9ivfAjzkMsi/N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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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Qy2tzczNsE6TKorm5OWwNZOFWKBZrbEnjc32PRSHvf5qFjiRJymXOM+eZ8ySpuP3DJK7/+0VIKh41NTXhqjw3/Z1YULDVbH19/beP4e+RJEnfj/8/y5wnSdmwAlaSlBrVFEzS5WsaExMT4d+xNVGSJEnfjzlPkr6eFbCSUvGKtti29/j4GL6vqqqKysrKCv63TMvlhsrKyqi8vDyz1ylJktIx58mcJ0nZ8ASsJEmSJEmSJGXEFgSSJEmSJEmSlBFPwEqSJEmSJElSRjwBK0mSJEmSJEkZ8QSsJEmSJEmSJGXEE7CSJEmSJEmSlBFPwEqSJEmSJElSRjwBK0mSJEmSJEkZ8QSsJEmSJEmSJGXEE7CSJEmSJEmSFGXjXwZAy0Bnjb3/AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_t = numeric_train[nan_columns[28]]\n",
    "\n",
    "test_density_fillna(x_t, [\n",
    "    lambda: 0,\n",
    "    lambda: x_t.mean(),\n",
    "    lambda: x_t.median()\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule[nan_columns[28]] = x_t.median()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_t = numeric_train[nan_columns[29]]\n",
    "\n",
    "test_density_fillna(x_t, [\n",
    "    lambda: 0,\n",
    "    lambda: x_t.mean(),\n",
    "    lambda: x_t.median()\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule[nan_columns[29]] = x_t.median()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-----------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_t = numeric_train[nan_columns[30]]\n",
    "\n",
    "test_density_fillna(x_t, [\n",
    "    lambda: 0,\n",
    "    lambda: x_t.mean(),\n",
    "    lambda: x_t.median()\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule[nan_columns[30]] = x_t.mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---------"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Применим сформированное правило для заполнения пропусков как к элементам обучающей выборки, так и к элементам тестовой выборки."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [],
   "source": [
    "numeric_train = numeric_train.fillna(value=fillna_rule)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Проверим, что по результатам работы не осталось столбцов с пропущенными значениями."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "numeric_train.isna().sum().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [],
   "source": [
    "numeric_test = numeric_test.fillna(value=fillna_rule)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "numeric_test.isna().sum().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Все пропуски были заполнены."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Дополнительно сохраним столбцы с вещественными признаками."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [],
   "source": [
    "numeric_columns = numeric_train.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.1.6. <a id='toc1_1_6_'></a>[Формирование предобработанного датасета](#toc0_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Объединим результаты предобработки вещественных и категориальных признаков в единый датасет, в котором отсутствуют пропуски и все значения являются численными."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Первоначально заменим в переменной X_train необработанные вещественные признаки на обработанные, которые были получены в результате заполнения пропусков. Необходимо также получить обучающую выборку, к которой не применялось кодирование категориальных признаков (для классических статистических моделей lifelines)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train[numeric_columns] = numeric_train[numeric_columns]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Сформируем выборку со всеми этапами кодирования признаков."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
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      "text/plain": [
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       "      Режим гр-ка_ПДФ;ЧЧ;ПКВ  Режим гр-ка_ПКВ  ...  Lнкт [м] НКТ  \\\n",
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       "2                        9                       2                   2022   \n",
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       "...                    ...                     ...                    ...   \n",
       "5888                    13                       7                   2022   \n",
       "5889                     3                       5                   2022   \n",
       "5890                    27                       6                   2020   \n",
       "5891                     3                       9                   2020   \n",
       "5892                    10                      11                   2021   \n",
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       "3                                29                               11   \n",
       "4                                20                                3   \n",
       "...                             ...                              ...   \n",
       "5888                             14                                7   \n",
       "5889                              4                                5   \n",
       "5890                             30                                6   \n",
       "5891                              4                                9   \n",
       "5892                             11                               11   \n",
       "\n",
       "      Дата первой работы сборки_year  Дата начала экспл-ии_day  \\\n",
       "0                               2020                        30   \n",
       "1                               2021                        10   \n",
       "2                               2022                        29   \n",
       "3                               2021                        27   \n",
       "4                               2020                        25   \n",
       "...                              ...                       ...   \n",
       "5888                            2022                         2   \n",
       "5889                            2022                        10   \n",
       "5890                            2020                        10   \n",
       "5891                            2020                        20   \n",
       "5892                            2021                        12   \n",
       "\n",
       "      Дата начала экспл-ии_month  Дата начала экспл-ии_year  \n",
       "0                              9                       2019  \n",
       "1                              4                       2020  \n",
       "2                              1                       2021  \n",
       "3                              1                       2020  \n",
       "4                              5                       2017  \n",
       "...                          ...                        ...  \n",
       "5888                           5                       2022  \n",
       "5889                           8                       2010  \n",
       "5890                           3                       2016  \n",
       "5891                           4                       2019  \n",
       "5892                           3                       2013  \n",
       "\n",
       "[5893 rows x 126 columns]"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train_oh = pd.concat((\n",
    "    one_hot_train.reset_index(),\n",
    "    numeric_train.reset_index()\n",
    "), axis=1).drop(columns=['index'])\n",
    "\n",
    "X_train_oh"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Аналогичную работу проделаем с тестовыми данными."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_test[numeric_columns] = numeric_test[numeric_columns]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
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       "      <th>ЭРА.Дата монтажа_year</th>\n",
       "      <th>Дата первой работы сборки_day</th>\n",
       "      <th>Дата первой работы сборки_month</th>\n",
       "      <th>Дата первой работы сборки_year</th>\n",
       "      <th>Дата начала экспл-ии_day</th>\n",
       "      <th>Дата начала экспл-ии_month</th>\n",
       "      <th>Дата начала экспл-ии_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3180.00</td>\n",
       "      <td>24</td>\n",
       "      <td>10</td>\n",
       "      <td>2024</td>\n",
       "      <td>26</td>\n",
       "      <td>10</td>\n",
       "      <td>2024</td>\n",
       "      <td>31</td>\n",
       "      <td>12</td>\n",
       "      <td>2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2862.71</td>\n",
       "      <td>27</td>\n",
       "      <td>6</td>\n",
       "      <td>2021</td>\n",
       "      <td>30</td>\n",
       "      <td>6</td>\n",
       "      <td>2021</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2459.60</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2023</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2023</td>\n",
       "      <td>16</td>\n",
       "      <td>2</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2746.81</td>\n",
       "      <td>28</td>\n",
       "      <td>7</td>\n",
       "      <td>2021</td>\n",
       "      <td>30</td>\n",
       "      <td>7</td>\n",
       "      <td>2021</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2629.84</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2023</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2023</td>\n",
       "      <td>19</td>\n",
       "      <td>11</td>\n",
       "      <td>2015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1035</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3030.00</td>\n",
       "      <td>23</td>\n",
       "      <td>8</td>\n",
       "      <td>2023</td>\n",
       "      <td>25</td>\n",
       "      <td>8</td>\n",
       "      <td>2023</td>\n",
       "      <td>25</td>\n",
       "      <td>8</td>\n",
       "      <td>2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1036</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2847.77</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "      <td>2020</td>\n",
       "      <td>22</td>\n",
       "      <td>10</td>\n",
       "      <td>2020</td>\n",
       "      <td>28</td>\n",
       "      <td>5</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1037</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2940.00</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "      <td>2021</td>\n",
       "      <td>10</td>\n",
       "      <td>12</td>\n",
       "      <td>2021</td>\n",
       "      <td>28</td>\n",
       "      <td>5</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1038</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2940.42</td>\n",
       "      <td>17</td>\n",
       "      <td>10</td>\n",
       "      <td>2023</td>\n",
       "      <td>18</td>\n",
       "      <td>10</td>\n",
       "      <td>2023</td>\n",
       "      <td>26</td>\n",
       "      <td>8</td>\n",
       "      <td>2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1039</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>2641.43</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>2023</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2023</td>\n",
       "      <td>11</td>\n",
       "      <td>5</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1040 rows × 126 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Режим гр-ка_АПВ;ПКВ;ПДФ  Режим гр-ка_ПДФ  Режим гр-ка_ПДФ;АПВ  \\\n",
       "0                         0.0              0.0                  0.0   \n",
       "1                         0.0              0.0                  0.0   \n",
       "2                         0.0              0.0                  0.0   \n",
       "3                         0.0              0.0                  0.0   \n",
       "4                         0.0              0.0                  0.0   \n",
       "...                       ...              ...                  ...   \n",
       "1035                      0.0              0.0                  0.0   \n",
       "1036                      0.0              0.0                  0.0   \n",
       "1037                      0.0              0.0                  0.0   \n",
       "1038                      0.0              0.0                  0.0   \n",
       "1039                      0.0              0.0                  0.0   \n",
       "\n",
       "      Режим гр-ка_ПДФ;АПВ;ПКВ  Режим гр-ка_ПДФ;ПКВ  Режим гр-ка_ПДФ;ПКВ;АПВ  \\\n",
       "0                         0.0                  1.0                      0.0   \n",
       "1                         0.0                  0.0                      0.0   \n",
       "2                         0.0                  0.0                      0.0   \n",
       "3                         0.0                  0.0                      0.0   \n",
       "4                         0.0                  0.0                      0.0   \n",
       "...                       ...                  ...                      ...   \n",
       "1035                      0.0                  1.0                      0.0   \n",
       "1036                      0.0                  0.0                      0.0   \n",
       "1037                      0.0                  0.0                      0.0   \n",
       "1038                      0.0                  0.0                      0.0   \n",
       "1039                      0.0                  0.0                      0.0   \n",
       "\n",
       "      Режим гр-ка_ПДФ;ПКВ;ЧЧ  Режим гр-ка_ПДФ;ПКВ;ЧЧ;АПВ  \\\n",
       "0                        0.0                         0.0   \n",
       "1                        0.0                         0.0   \n",
       "2                        0.0                         0.0   \n",
       "3                        0.0                         0.0   \n",
       "4                        0.0                         0.0   \n",
       "...                      ...                         ...   \n",
       "1035                     0.0                         0.0   \n",
       "1036                     0.0                         0.0   \n",
       "1037                     0.0                         0.0   \n",
       "1038                     0.0                         0.0   \n",
       "1039                     0.0                         0.0   \n",
       "\n",
       "      Режим гр-ка_ПДФ;ЧЧ;ПКВ  Режим гр-ка_ПКВ  ...  Lнкт [м] НКТ  \\\n",
       "0                        0.0              0.0  ...       3180.00   \n",
       "1                        0.0              1.0  ...       2862.71   \n",
       "2                        0.0              1.0  ...       2459.60   \n",
       "3                        0.0              1.0  ...       2746.81   \n",
       "4                        0.0              1.0  ...       2629.84   \n",
       "...                      ...              ...  ...           ...   \n",
       "1035                     0.0              0.0  ...       3030.00   \n",
       "1036                     0.0              1.0  ...       2847.77   \n",
       "1037                     0.0              1.0  ...       2940.00   \n",
       "1038                     0.0              1.0  ...       2940.42   \n",
       "1039                     0.0              0.0  ...       2641.43   \n",
       "\n",
       "      ЭРА.Дата монтажа_day  ЭРА.Дата монтажа_month  ЭРА.Дата монтажа_year  \\\n",
       "0                       24                      10                   2024   \n",
       "1                       27                       6                   2021   \n",
       "2                        2                       1                   2023   \n",
       "3                       28                       7                   2021   \n",
       "4                        3                       1                   2023   \n",
       "...                    ...                     ...                    ...   \n",
       "1035                    23                       8                   2023   \n",
       "1036                    21                      10                   2020   \n",
       "1037                     9                      12                   2021   \n",
       "1038                    17                      10                   2023   \n",
       "1039                     6                       2                   2023   \n",
       "\n",
       "      Дата первой работы сборки_day  Дата первой работы сборки_month  \\\n",
       "0                                26                               10   \n",
       "1                                30                                6   \n",
       "2                                 5                                1   \n",
       "3                                30                                7   \n",
       "4                                 4                                1   \n",
       "...                             ...                              ...   \n",
       "1035                             25                                8   \n",
       "1036                             22                               10   \n",
       "1037                             10                               12   \n",
       "1038                             18                               10   \n",
       "1039                              7                                2   \n",
       "\n",
       "      Дата первой работы сборки_year  Дата начала экспл-ии_day  \\\n",
       "0                               2024                        31   \n",
       "1                               2021                         4   \n",
       "2                               2023                        16   \n",
       "3                               2021                         3   \n",
       "4                               2023                        19   \n",
       "...                              ...                       ...   \n",
       "1035                            2023                        25   \n",
       "1036                            2020                        28   \n",
       "1037                            2021                        28   \n",
       "1038                            2023                        26   \n",
       "1039                            2023                        11   \n",
       "\n",
       "      Дата начала экспл-ии_month  Дата начала экспл-ии_year  \n",
       "0                             12                       2023  \n",
       "1                              4                       2020  \n",
       "2                              2                       2007  \n",
       "3                              7                       2020  \n",
       "4                             11                       2015  \n",
       "...                          ...                        ...  \n",
       "1035                           8                       2023  \n",
       "1036                           5                       2020  \n",
       "1037                           5                       2010  \n",
       "1038                           8                       2019  \n",
       "1039                           5                       2007  \n",
       "\n",
       "[1040 rows x 126 columns]"
      ]
     },
     "execution_count": 151,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test_oh = pd.concat((\n",
    "    one_hot_test.reset_index(),\n",
    "    numeric_test.reset_index()\n",
    "), axis=1).drop(columns=['index'])\n",
    "\n",
    "X_test_oh"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1.2. <a id='toc1_2_'></a>[Production](#toc0_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_dead = pd.read_excel('./output_ds_3_dead.xlsx', parse_dates=[\n",
    "    'ЭРА.Дата монтажа', 'ЭРА.Дата демонтажа', 'Дата первой работы сборки', 'Дата начала экспл-ии'])\n",
    "df_live = pd.read_excel('./fixed_live_dataset.xlsx', parse_dates=[\n",
    "    'ЭРА.Дата монтажа', 'ЭРА.Дата демонтажа', 'Дата первой работы сборки', 'Дата начала экспл-ии'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.concat((df_dead, df_live), ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(columns=['key_well_sborka', 'well_id', 'sborka_id', 'Скважина',\n",
    "        'Сборка', 'Причины остановок новые', 'ЭРА.Дата демонтажа', 'Дней между монтажом и демонтажем'], inplace=True)\n",
    "df.drop(columns=['Минуты вращения насоса', 'Кол-во циклов ПКВ/Дней в работе'], inplace=True)\n",
    "\n",
    "col = 'ЭРА.Дата монтажа'\n",
    "df[f'{col}_day'] = df[col].dt.day\n",
    "df[f'{col}_month'] = df[col].dt.month\n",
    "df[f'{col}_year'] = df[col].dt.year\n",
    "df.drop(columns=[col], inplace=True)\n",
    "\n",
    "col = 'Дата первой работы сборки'\n",
    "df[f'{col}_day'] = df[col].dt.day\n",
    "df[f'{col}_month'] = df[col].dt.month\n",
    "df[f'{col}_year'] = df[col].dt.year\n",
    "df.drop(columns=[col], inplace=True)\n",
    "\n",
    "col = 'Дата начала экспл-ии'\n",
    "df[f'{col}_day'] = df[col].dt.day\n",
    "df[f'{col}_month'] = df[col].dt.month\n",
    "df[f'{col}_year'] = df[col].dt.year\n",
    "df.drop(columns=[col], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "object_columns = df.select_dtypes('object').columns\n",
    "df[object_columns] = df[object_columns].astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "temp = df.isna().sum()\n",
    "df_nan_pivot = temp[temp != 0]\n",
    "df_nan_columns = df_nan_pivot.index\n",
    "\n",
    "_, n_numeric_features = df.select_dtypes('number').shape\n",
    "nan_distribution = df[df.isna().values.any(axis=1)][df_nan_columns].isna().sum(axis=1) / n_numeric_features\n",
    "nan_row_ids = nan_distribution[nan_distribution > 0.05].index\n",
    "df.drop(nan_row_ids, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "\n",
    "y_columns = ['Дней в работе', 'Признак отказа']\n",
    "\n",
    "train_df, test_df = train_test_split(df, shuffle=True, stratify=df['Признак отказа'], random_state=seed, test_size=0.15)\n",
    "\n",
    "X_train, X_test = train_df.drop(columns=y_columns), test_df.drop(columns=y_columns)\n",
    "y_train, y_test = train_df[y_columns], test_df[y_columns]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "object_columns = X_train.select_dtypes('object').columns\n",
    "object_train = X_train.select_dtypes('object')\n",
    "object_test = X_test.select_dtypes('object')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import OneHotEncoder\n",
    "\n",
    "\n",
    "one_hot_encoder = OneHotEncoder(sparse_output=False, drop='first', handle_unknown='ignore')\n",
    "\n",
    "encoded_data = one_hot_encoder.fit_transform(object_train)\n",
    "one_hot_train = pd.DataFrame(\n",
    "    encoded_data,\n",
    "    columns=one_hot_encoder.get_feature_names_out(object_columns)\n",
    ")\n",
    "\n",
    "encoded_data = one_hot_encoder.transform(object_test)\n",
    "one_hot_test = pd.DataFrame(\n",
    "    encoded_data,\n",
    "    columns=one_hot_encoder.get_feature_names_out(object_columns)\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "numeric_train = X_train.select_dtypes(exclude='object')\n",
    "numeric_test = X_test.select_dtypes(exclude='object')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "temp = numeric_train.isna().sum()\n",
    "nan_pivot_train = temp[temp != 0]\n",
    "\n",
    "temp = numeric_test.isna().sum()\n",
    "nan_pivot_test = temp[temp != 0]\n",
    "\n",
    "nan_columns = np.union1d(nan_pivot_test.index, nan_pivot_train.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "fillna_rule = {}\n",
    "\n",
    "fillna_rule[nan_columns[0]] = numeric_train[nan_columns[0]].mean()\n",
    "fillna_rule[nan_columns[1]] = numeric_train[nan_columns[1]].median()\n",
    "fillna_rule[nan_columns[2]] = numeric_train[nan_columns[2]].mean()\n",
    "fillna_rule[nan_columns[3]] = numeric_train[nan_columns[3]].mean()\n",
    "fillna_rule[nan_columns[4]] = numeric_train[nan_columns[4]].median()\n",
    "fillna_rule[nan_columns[5]] = numeric_train[nan_columns[5]].median()\n",
    "fillna_rule[nan_columns[6]] = numeric_train[nan_columns[6]].mean()\n",
    "fillna_rule[nan_columns[7]] = numeric_train[nan_columns[7]].median()\n",
    "fillna_rule[nan_columns[8]] = numeric_train[nan_columns[8]].median()\n",
    "fillna_rule[nan_columns[9]] = numeric_train[nan_columns[9]].median()\n",
    "fillna_rule[nan_columns[10]] = numeric_train[nan_columns[10]].median()\n",
    "fillna_rule[nan_columns[11]] = numeric_train[nan_columns[11]].median()\n",
    "fillna_rule[nan_columns[12]] = numeric_train[nan_columns[12]].median()\n",
    "fillna_rule[nan_columns[13]] = numeric_train[nan_columns[13]].median()\n",
    "fillna_rule[nan_columns[14]] = numeric_train[nan_columns[14]].median()\n",
    "fillna_rule[nan_columns[15]] = numeric_train[nan_columns[15]].median()\n",
    "fillna_rule[nan_columns[16]] = numeric_train[nan_columns[16]].median()\n",
    "fillna_rule[nan_columns[17]] = numeric_train[nan_columns[17]].median()\n",
    "fillna_rule[nan_columns[18]] = numeric_train[nan_columns[18]].median()\n",
    "fillna_rule[nan_columns[19]] = numeric_train[nan_columns[19]].median()\n",
    "fillna_rule[nan_columns[20]] = numeric_train[nan_columns[20]].median()\n",
    "fillna_rule[nan_columns[21]] = numeric_train[nan_columns[21]].median()\n",
    "fillna_rule[nan_columns[22]] = numeric_train[nan_columns[22]].median()\n",
    "fillna_rule[nan_columns[23]] = numeric_train[nan_columns[23]].median()\n",
    "fillna_rule[nan_columns[24]] = numeric_train[nan_columns[24]].median()\n",
    "fillna_rule[nan_columns[25]] = numeric_train[nan_columns[25]].median()\n",
    "fillna_rule[nan_columns[26]] = numeric_train[nan_columns[26]].median()\n",
    "fillna_rule[nan_columns[27]] = numeric_train[nan_columns[27]].median()\n",
    "fillna_rule[nan_columns[28]] = numeric_train[nan_columns[28]].median()\n",
    "fillna_rule[nan_columns[29]] = numeric_train[nan_columns[29]].median()\n",
    "\n",
    "numeric_train = numeric_train.fillna(value=fillna_rule)\n",
    "numeric_test = numeric_test.fillna(value=fillna_rule)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "numeric_columns = numeric_train.columns\n",
    "\n",
    "X_train[numeric_columns] = numeric_train[numeric_columns]\n",
    "\n",
    "X_train_oh = pd.concat((\n",
    "    one_hot_train.reset_index(),\n",
    "    numeric_train.reset_index()\n",
    "), axis=1).drop(columns=['index'])\n",
    "\n",
    "X_test[numeric_columns] = numeric_test[numeric_columns]\n",
    "\n",
    "X_test_oh = pd.concat((\n",
    "    one_hot_test.reset_index(),\n",
    "    numeric_test.reset_index()\n",
    "), axis=1).drop(columns=['index'])"
   ]
  }
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