temperature_forecast.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "7b83f660",
   "metadata": {},
   "source": [
    "<a name='introduction'></a>\n",
    "# Проект \"Прогнозирование температуры звезды\"\n",
    "\n",
    "Предоставлен набор данных о звездах. Имеются следующие их 6 характеристик:\n",
    "- **Temperature (K)**. Абсолютная температура в Кельвинах. ***Целевой показатель***;\n",
    "- **Luminosity(L/Lo)**. Светимость звезды относительно Солнца;\n",
    "- **Radius(R/Ro)**. Радиус звезды относительно радиуса Солнца;\n",
    "- **Absolute magnitude(Mv)**. Физическая величина, характеризующая блеск звезды;\n",
    "- **Star color**. Цвет звезды, определяемый на основе спектрального анализа;\n",
    "- **Star type**. Тип звезды.\n",
    "\n",
    "<br>**Типы звезд** (параметр *Star type*):\n",
    "- 0 - Коричневый карлик;\n",
    "- 1 - Красный карлик;\n",
    "- 2 - Белый карлик;\n",
    "- 3 - Звезды главной последовательности;\n",
    "- 4 - Сверхгигант;\n",
    "- 5 - Гипергигант.\n",
    "\n",
    "<br>В рамках данного проекта необходимо предсказать абсолютную температуру на поверхности звезды в Кельвинах. Существуют различные способы определения абсолютной температуры на поверхности звезды, но заказчик, Обсерватори, надеется, что технологии машинного обучения помогут определить температуру точнее.\n",
    "\n",
    "<br>**План работы**:\n",
    "1. [Импортирование библиотек и файлов](#import)\n",
    "2. [Предобработка и анализ данных](#preprocessing)\n",
    "    - [Общие характеристики](#general)\n",
    "    - [Предобработка отдельных параметров](#parameters)\n",
    "        - [color](#color)\n",
    "        - [type](#type)\n",
    "    - [Исследовательский анализ анализ данных](#eda)\n",
    "        - [Корреляция светимости звезд от их температуры](#l_t_ratio)\n",
    "        - [Корреляция типа звезды и температуры](#t_t_ratio)\n",
    "        - [Корреляция между цветом звезды и температурой](#c_t_ratio)\n",
    "        - [Корреляция между радиусом звезды и температурой](#r_t_ratio)\n",
    "        - [Корреляция между абсолютной звездной величиной и температурой ](#m_t_ratio)\n",
    "        - [Корреляция между абсолютной звездной величиной и типом](#mv_t_ratio)\n",
    "    - [Корреляция phik](#phik_corr)\n",
    "    - [Заключения по исследовательскому анализу данных](#eda_conclusions)\n",
    "3. [Подготовка данных к построению модели](#data_preparation)\n",
    "4. [Построение базовой нейронной сети](#nn_creation)\n",
    "    - [Инициализация необходимых функций](#necessary_functions)\n",
    "    - [Создание базовой нейронной сети](#basic_nn)\n",
    "5. [Улучшение нейронной сети](#nn_improvement)\n",
    "    - [Использование батчей](#batch_usage)\n",
    "    - [Batch Normalization](#batch_norm)\n",
    "    - [Dropout](#dropout)\n",
    "6. [Выводы](#conclusion)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "corresponding-armstrong",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-05T04:58:05.692448Z",
     "start_time": "2022-05-05T04:58:05.688565Z"
    }
   },
   "source": [
    "<a name='import'></a>\n",
    "## 1.  Импортирование библиотек и файлов\n",
    "[Введение](#introduction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d0c96a2e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting phik\n",
      "  Downloading phik-0.12.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (679 kB)\n",
      "\u001b[K     |████████████████████████████████| 679 kB 990 kB/s eta 0:00:01\n",
      "\u001b[?25hRequirement already satisfied: matplotlib>=2.2.3 in /opt/conda/lib/python3.9/site-packages (from phik) (3.3.4)\n",
      "Requirement already satisfied: pandas>=0.25.1 in /opt/conda/lib/python3.9/site-packages (from phik) (1.2.4)\n",
      "Requirement already satisfied: joblib>=0.14.1 in /opt/conda/lib/python3.9/site-packages (from phik) (1.1.0)\n",
      "Requirement already satisfied: scipy>=1.5.2 in /opt/conda/lib/python3.9/site-packages (from phik) (1.9.1)\n",
      "Requirement already satisfied: numpy>=1.18.0 in /opt/conda/lib/python3.9/site-packages (from phik) (1.21.1)\n",
      "Requirement already satisfied: pillow>=6.2.0 in /opt/conda/lib/python3.9/site-packages (from matplotlib>=2.2.3->phik) (8.4.0)\n",
      "Requirement already satisfied: cycler>=0.10 in /opt/conda/lib/python3.9/site-packages (from matplotlib>=2.2.3->phik) (0.11.0)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in /opt/conda/lib/python3.9/site-packages (from matplotlib>=2.2.3->phik) (1.4.4)\n",
      "Requirement already satisfied: python-dateutil>=2.1 in /opt/conda/lib/python3.9/site-packages (from matplotlib>=2.2.3->phik) (2.8.1)\n",
      "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.3 in /opt/conda/lib/python3.9/site-packages (from matplotlib>=2.2.3->phik) (2.4.7)\n",
      "Requirement already satisfied: pytz>=2017.3 in /opt/conda/lib/python3.9/site-packages (from pandas>=0.25.1->phik) (2021.1)\n",
      "Requirement already satisfied: six>=1.5 in /opt/conda/lib/python3.9/site-packages (from python-dateutil>=2.1->matplotlib>=2.2.3->phik) (1.16.0)\n",
      "Installing collected packages: phik\n",
      "Successfully installed phik-0.12.3\n",
      "Note: you may need to restart the kernel to use updated packages.\n",
      "Requirement already satisfied: numpy in /opt/conda/lib/python3.9/site-packages (1.21.1)\n",
      "Collecting numpy\n",
      "  Downloading numpy-1.25.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.7 MB)\n",
      "\u001b[K     |████████████████████████████████| 17.7 MB 12.8 MB/s eta 0:00:01   |█████████████████               | 9.3 MB 1.1 MB/s eta 0:00:08\n",
      "\u001b[?25hInstalling collected packages: numpy\n",
      "  Attempting uninstall: numpy\n",
      "    Found existing installation: numpy 1.21.1\n",
      "    Uninstalling numpy-1.21.1:\n",
      "      Successfully uninstalled numpy-1.21.1\n",
      "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
      "scipy 1.9.1 requires numpy<1.25.0,>=1.18.5, but you have numpy 1.25.0 which is incompatible.\n",
      "numba 0.56.0 requires numpy<1.23,>=1.18, but you have numpy 1.25.0 which is incompatible.\u001b[0m\n",
      "Successfully installed numpy-1.25.0\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.9/site-packages/scipy/__init__.py:155: UserWarning: A NumPy version >=1.18.5 and <1.25.0 is required for this version of SciPy (detected version 1.25.0\n",
      "  warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n"
     ]
    }
   ],
   "source": [
    "%pip install phik\n",
    "%pip install numpy --upgrade\n",
    "\n",
    "from math import ceil\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import torch \n",
    "import torch.nn as nn\n",
    "\n",
    "import phik\n",
    "from phik import report\n",
    "from phik.report import plot_correlation_matrix\n",
    "\n",
    "from sklearn.compose import ColumnTransformer\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import StandardScaler, OrdinalEncoder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "da56c3a3",
   "metadata": {
    "scrolled": true
   },
   "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>Temperature (K)</th>\n",
       "      <th>Luminosity(L/Lo)</th>\n",
       "      <th>Radius(R/Ro)</th>\n",
       "      <th>Absolute magnitude(Mv)</th>\n",
       "      <th>Star type</th>\n",
       "      <th>Star color</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3068</td>\n",
       "      <td>0.002400</td>\n",
       "      <td>0.1700</td>\n",
       "      <td>16.12</td>\n",
       "      <td>0</td>\n",
       "      <td>Red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3042</td>\n",
       "      <td>0.000500</td>\n",
       "      <td>0.1542</td>\n",
       "      <td>16.60</td>\n",
       "      <td>0</td>\n",
       "      <td>Red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2600</td>\n",
       "      <td>0.000300</td>\n",
       "      <td>0.1020</td>\n",
       "      <td>18.70</td>\n",
       "      <td>0</td>\n",
       "      <td>Red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2800</td>\n",
       "      <td>0.000200</td>\n",
       "      <td>0.1600</td>\n",
       "      <td>16.65</td>\n",
       "      <td>0</td>\n",
       "      <td>Red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1939</td>\n",
       "      <td>0.000138</td>\n",
       "      <td>0.1030</td>\n",
       "      <td>20.06</td>\n",
       "      <td>0</td>\n",
       "      <td>Red</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Temperature (K)  Luminosity(L/Lo)  Radius(R/Ro)  Absolute magnitude(Mv)  \\\n",
       "0             3068          0.002400        0.1700                   16.12   \n",
       "1             3042          0.000500        0.1542                   16.60   \n",
       "2             2600          0.000300        0.1020                   18.70   \n",
       "3             2800          0.000200        0.1600                   16.65   \n",
       "4             1939          0.000138        0.1030                   20.06   \n",
       "\n",
       "   Star type Star color  \n",
       "0          0        Red  \n",
       "1          0        Red  \n",
       "2          0        Red  \n",
       "3          0        Red  \n",
       "4          0        Red  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_stars = pd.read_csv('/datasets/6_class.csv', index_col=0)\n",
    "df_stars.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "simple-subdivision",
   "metadata": {},
   "source": [
    "<a name='preprocessing'></a>\n",
    "## 2. Предобработка и анализ данных\n",
    "[Введение](#introduction)\n",
    "\n",
    "<br>План предобработки и анализа данных:\n",
    "1. [Общие характеристики](#general)\n",
    "2. [Предобработка отдельных параметров](#parameters)\n",
    "3. [Исследовательский анализ анализ данных](#eda)\n",
    "4. [Корреляция phik](#phik_corr)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cf3b61ce",
   "metadata": {},
   "source": [
    "<a name='general'></a>\n",
    "### 2. 1. Общие характеристики\n",
    "[Введение](#introduction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "278bec14",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Характеристики объектов: ['Temperature (K)' 'Luminosity(L/Lo)' 'Radius(R/Ro)'\n",
      " 'Absolute magnitude(Mv)' 'Star type' 'Star color']\n",
      "\n",
      "Размер выборки: (240, 6)\n"
     ]
    }
   ],
   "source": [
    "print('Характеристики объектов:', df_stars.columns.values)\n",
    "print('\\nРазмер выборки:', df_stars.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "412bc965",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Temperature (K)           0\n",
       "Luminosity(L/Lo)          0\n",
       "Radius(R/Ro)              0\n",
       "Absolute magnitude(Mv)    0\n",
       "Star type                 0\n",
       "Star color                0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Пропущенные значения\n",
    "df_stars.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "23999f9a",
   "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>Temperature (K)</th>\n",
       "      <th>Luminosity(L/Lo)</th>\n",
       "      <th>Radius(R/Ro)</th>\n",
       "      <th>Absolute magnitude(Mv)</th>\n",
       "      <th>Star type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>240.000000</td>\n",
       "      <td>240.000000</td>\n",
       "      <td>240.000000</td>\n",
       "      <td>240.000000</td>\n",
       "      <td>240.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>10497.462500</td>\n",
       "      <td>107188.361635</td>\n",
       "      <td>237.157781</td>\n",
       "      <td>4.382396</td>\n",
       "      <td>2.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>9552.425037</td>\n",
       "      <td>179432.244940</td>\n",
       "      <td>517.155763</td>\n",
       "      <td>10.532512</td>\n",
       "      <td>1.711394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1939.000000</td>\n",
       "      <td>0.000080</td>\n",
       "      <td>0.008400</td>\n",
       "      <td>-11.920000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3344.250000</td>\n",
       "      <td>0.000865</td>\n",
       "      <td>0.102750</td>\n",
       "      <td>-6.232500</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>5776.000000</td>\n",
       "      <td>0.070500</td>\n",
       "      <td>0.762500</td>\n",
       "      <td>8.313000</td>\n",
       "      <td>2.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>15055.500000</td>\n",
       "      <td>198050.000000</td>\n",
       "      <td>42.750000</td>\n",
       "      <td>13.697500</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>40000.000000</td>\n",
       "      <td>849420.000000</td>\n",
       "      <td>1948.500000</td>\n",
       "      <td>20.060000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Temperature (K)  Luminosity(L/Lo)  Radius(R/Ro)  \\\n",
       "count       240.000000        240.000000    240.000000   \n",
       "mean      10497.462500     107188.361635    237.157781   \n",
       "std        9552.425037     179432.244940    517.155763   \n",
       "min        1939.000000          0.000080      0.008400   \n",
       "25%        3344.250000          0.000865      0.102750   \n",
       "50%        5776.000000          0.070500      0.762500   \n",
       "75%       15055.500000     198050.000000     42.750000   \n",
       "max       40000.000000     849420.000000   1948.500000   \n",
       "\n",
       "       Absolute magnitude(Mv)   Star type  \n",
       "count              240.000000  240.000000  \n",
       "mean                 4.382396    2.500000  \n",
       "std                 10.532512    1.711394  \n",
       "min                -11.920000    0.000000  \n",
       "25%                 -6.232500    1.000000  \n",
       "50%                  8.313000    2.500000  \n",
       "75%                 13.697500    4.000000  \n",
       "max                 20.060000    5.000000  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Рассмотрим разброс значений\n",
    "df_stars.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "49e8aa65",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Изменим имеющиеся названия столбцов путем упрощения\n",
    "df_stars.columns = ['temp', 'luminosity', 'radius', 'magnitude', 'type', 'color']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "29494260",
   "metadata": {},
   "source": [
    "<a name='parameters'></a>\n",
    "### 2. 2. Предобработка отдельных параметров\n",
    "[Введение](#introduction)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d8ead70a",
   "metadata": {},
   "source": [
    "<a name='color'></a>\n",
    "#### 2. 2. 1. color"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "86575d96",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Уникальные значения параметра 'color' ДО предобработки:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array(['Red', 'Blue White', 'White', 'Yellowish White', 'Blue white',\n",
       "       'Pale yellow orange', 'Blue', 'Blue-white', 'Whitish',\n",
       "       'yellow-white', 'Orange', 'White-Yellow', 'white', 'Blue ',\n",
       "       'yellowish', 'Yellowish', 'Orange-Red', 'Blue white ',\n",
       "       'Blue-White'], dtype=object)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"Уникальные значения параметра 'color' ДО предобработки:\")\n",
    "df_stars['color'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e6a8177",
   "metadata": {},
   "source": [
    "Заметно, что многие уникальные значения по сути идентичны, но различаются по написанию. Приведем их к единому виду: если предполагается наличие двух цветов, то они будут отображаться через пробел с заглавных букв - \"Blue White\". Значения по типу \"whitish\", \"yellowish\" и т. д. поменяем на \"white\", \"yellow\" и другие соответственно."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "76426be2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Blue\n",
    "df_stars.loc[\n",
    "    df_stars['color'] == 'Blue ',\n",
    "    'color'\n",
    "] = 'Blue'\n",
    "\n",
    "# Blue and white\n",
    "df_stars.loc[\n",
    "    (df_stars['color'] == 'Blue white') | \n",
    "    (df_stars['color'] == 'Blue-white') |\n",
    "    (df_stars['color'] == 'Blue-White') |\n",
    "    (df_stars['color'] == 'Blue white '), \n",
    "    'color'\n",
    "] = 'Blue White'\n",
    "\n",
    "# White\n",
    "df_stars.loc[\n",
    "    (df_stars['color'] == 'white'),\n",
    "    'color'\n",
    "] = 'White'\n",
    "\n",
    "# Whitish\n",
    "df_stars.loc[\n",
    "    (df_stars['color'] == 'whitish'),\n",
    "    'color'\n",
    "] = 'Whitish'\n",
    "\n",
    "# Yellowish\n",
    "df_stars.loc[\n",
    "    (df_stars['color'] == 'yellowish'),\n",
    "    'color'\n",
    "] = 'Yellowish'\n",
    "\n",
    "# Yellow and white\n",
    "df_stars.loc[\n",
    "    (df_stars['color'] == 'Yellowish White') |\n",
    "    (df_stars['color'] == 'yellow-white') | \n",
    "    (df_stars['color'] == 'White-Yellow'),\n",
    "    'color'\n",
    "] = 'Yellow White'\n",
    "\n",
    "# Yellow and orange\n",
    "df_stars.loc[\n",
    "    df_stars['color'] == 'Pale yellow orange',\n",
    "    'color'\n",
    "] = 'Yellow Orange'\n",
    "\n",
    "# Orange and red\n",
    "df_stars.loc[\n",
    "    df_stars['color'] == 'Orange-Red',\n",
    "    'color'\n",
    "] = 'Orange Red'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "108035b1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Уникальные значения параметры \"color\" после предобработки:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array(['Red', 'Blue White', 'White', 'Yellow White', 'Yellow Orange',\n",
       "       'Blue', 'Whitish', 'Orange', 'Yellowish', 'Orange Red'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print('Уникальные значения параметры \"color\" после предобработки:')\n",
    "df_stars['color'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5de9ce7",
   "metadata": {},
   "source": [
    "<a name='type'></a>\n",
    "#### 2. 2. 2. type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "3b95f865",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1, 2, 3, 4, 5])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Уникальные значения параметра 'type'\n",
    "df_stars['type'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "17b8c526",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    40\n",
       "1    40\n",
       "2    40\n",
       "3    40\n",
       "4    40\n",
       "5    40\n",
       "Name: type, dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Посмотрим распределение типов звезд\n",
    "df_stars['type'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca47c3d2",
   "metadata": {},
   "source": [
    "По параметру 'type' аномальных значений выявлено не было."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05dd1456",
   "metadata": {},
   "source": [
    "<a name='eda'></a>\n",
    "### 2. 3. Исследовательский анализ анализ данных\n",
    "[Введение](#introduction)\n",
    "\n",
    "<br>Найдем корреляцию между следующими параметрами:\n",
    "1. [Корреляция светимости звезд от их температуры](#l_t_ratio)\n",
    "2. [Корреляция типа звезды и температуры](#t_t_ratio)\n",
    "3. [Корреляция между цветом звезды и температурой](#c_t_ratio)\n",
    "4. [Корреляция между радиусом звезды и температурой](#r_t_ratio)\n",
    "5. [Корреляция между абсолютной звездной величиной и температурой](#m_t_ratio)\n",
    "6. [Корреляция между абсолютной звездной величиной и типом](#mv_t_ratio)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "6b807a6c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Функция для создания диаграммы разброса\n",
    "def create_scatter_plot(x, y, xname, yname, color, logx=False, logy=False, x_rotation=0):\n",
    "    df_stars.plot(\n",
    "        x=x,\n",
    "        y=y,\n",
    "        color=color,\n",
    "        figsize=(7, 7),\n",
    "        fontsize=12,\n",
    "        grid=True,\n",
    "        kind='scatter',\n",
    "        logx=logx,\n",
    "        logy=logy\n",
    "    )\n",
    "\n",
    "    plt.title(f'Корреляция между \"{xname}\" и \"{yname}\"', fontsize=16)\n",
    "    plt.xlabel(f'{xname}', fontsize=14)\n",
    "    plt.ylabel(f'{yname}', fontsize=14)\n",
    "    plt.xticks(rotation=x_rotation)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a93e03b",
   "metadata": {},
   "source": [
    "<a name='l_t_ratio'></a>\n",
    "#### 2. 3. 1. Корреляция светимости звезд от их температуры\n",
    "[Введение](#introduction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "6dd77d62",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAegAAAHGCAYAAAC/9hhKAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAABPxklEQVR4nO3deZwcdZ3/8dcnM7nIoQRCQNGMIIoGBSEILqsG8UBdf7DAIlF2OQIILLuurLoegCiIq+i6KoeAICIaPBbkcI1rhMEFBbkEDSAITFyF4EBCYBImx8zn98e3OlNTUz1dPTPdVV39fj4e/ZjpOrq/Xd1Vn/re5u6IiIhIsUzKOwEiIiIykgK0iIhIASlAi4iIFJACtIiISAEpQIuIiBSQArSIiEgBlSZAm9nRZuZm9vLE8g4z+y8zGzCzI/JKnwiAmS2Kfqddld9syjYzzOzjZna3mT1nZv1m9nszOy/5+5bGir6ro6Pvy81sUbPfL/abqfW4vJFpk7Gr8n121dqvswlpy42ZGXA58LfAce5+Vb4pEhmdme0ALAdeBJwH3AJsBF4NHAvsB7wutwRKHu4G3hB7vgNwNfA54LrY8t5mJkoar9QBGrgAOBL4Z3e/LO/EiGTwbcIF+PXu/nBs+U1mdgFwUD7Jkry4+7PAbZXnsZzXo+5+W+pOUgqlKeJOMrNzgROBT7j711LW72BmV5jZU2a2wczuM7MjE9tUis3fZGY/MrM+M3vazM43s+mx7SrFFyeb2X+Y2V/MbL2Z3ZBWjGFmJ5jZvVHR5VNmdqmZzUnZ7swqRVlnJrb7VzN7IHrP+HZvjW3TY2ZXprxHt5ndkljWk/Iep6cVo5nZu83sV2b2TOK9z06+V5XP9qiZTUqsuyhal0zXXDP7upn9OfrOHjSzExLbnGhmG83sHbFlI4qSzeybZrbKzHZOLD+uyjG/MrbN9WZ2T8pnepmZDZrZiaN99lGOyd7AAcA5ieAMgAc/im3fE0vfgJn9ycy+Fv9txtL1HTPrjY7bb8zsb2Prq/3OKo+eaLvUYl4zWx4tPzq27PJoWXfK5/xp8phGy18fvVafma0zs5+b2etT9n+zmf3MzNZG291rZktSjknVcyf2mSc0kxJ97u7EsjfGj2MzWIZrTOyYHJ1YvqOZbbaR15DuUY7rnxKvsZWZfd7MHovOx8fM7JPxc92GinoPjY7bGjN7NvqtbpN4vVMsXGdWW7jW3GZm746t7xolbZXHouj8eNLMJidef5aF6qR/n+i0jUcpc9BmdgbwYeA8d/9cyvoZwM3A1sAngP8j5LS/bWZbufvFiV2uBL5PyJG/HjgDmAEcndju48BvgGOA7YBzgP8xswXuvil6738H/hX4KvAR4MXA2cBuZvZX7j6Q8pHixVu/SnyW9wNfjNL2Q+B5YE/g/JTXGRMzmx99toHE8pcRitpuBd4HrE5LYw0vAN4B/CR6zdnA+2OvRWz5LcB04EzgsWi/C81sauUmzN2/bqGY+L/MbJG735nyeT4HHAq82d0fqZKuQ4Anov+vSay7EPixmb3e3X8dW34CsA74TrUP6+7dgEVPL48eFW+L/saLLWv5b+Aswrm8CPg0sB74NwAzewlwO/AX4EOEYtD3Eo7Pwe5+HfANYFnsNX9F+E3+OHq+odqbm9nh0fum6QPeYGavdvf7o+1fHm3/bOJ1Xks4J+8nnFcOfAy42cz2dfd7o+0OAv6L8Jv7APAUsACYH73U3wJTo//fDZzG8PNnWCCpxd0t9tSqbliFmXUQzsW083rC3y96z3quMauBkxj+OzwBWAuMyDQA9xGOe9zpwO6x9+8EfkqoljkL+C2wb7TdnChtcf9JqNZZDOxCuG6+CNg/tk0X4XfaQ/itvwe4wcze6e7LCOdq/Hs+nVASdXJs2f2E8+AUwu/k+7F17yNc0y9qQNpw9x6Gf5/Zvlt3L8WDoZP6/OhvP6FYaFLKtqdE2yxKLF8efYEdidf8emK7TxJOuFdEz7ui7e6Pvx+hvtCBJbHtBoAzEq9X2e7gxPJzgM2JZQ6cGXt+HrA2sc2iaLu3xpb1AFemHItu4JbEsp7Ee1xDqAf7BXB5bPlh0fvsmZLGs2t8X2dG230JuC62/B+Bu5LpIpxw/cAuide5hHCR7kws/3r0Xe5S+R6j5f9MCDgHVEnXyVG6XlLt2BFKnh4BLo0tmwysSv5W6vwNXxi999SM2/fEv49o2d3AT2PPLyUE5W0S2/0M+E2V13Xg6JTlld/5ouj5DMLN7VeS+xAu+H8Cvgd8Nbb8XEKATR7THwLPAC+MLZtNCCBXR88t2u9OUs7rlPRu+d5H+f111nqdOr/Dy4Hu2PMPEm5UvgH0TNB7VL6H46qsy3SNiZ5fQHRTHy3rBB4nnJfJa0g3iWtF/LuOPf/7aN83Jbb7JKE9xXbR80XRdssS270/Wl7tHJ0UpfN/gGuzfA+Jdd3Az1POm2Wx5w1LWz2PMhZxnwx8k1BXtw8h15D0JuDPHnIzcVcCcwl3fnHfTzy/ivBFJIvffujug5Un7n4r4SJVubN7W7Tfd8yss/Ig5HCei9IVN50QlEbzKDDbzI41s5nR63XU2CczMzuQcCxPBgYTqx+N/h5vZtvFPk89LgLeaWYvjZ6fSAiuSQcSjtNjiWP3U2AbRn5n/whsIuQM50Wf5b2EO+KvufvPq6RnZvR3fbUER9/xRcARZvaCaPHB0fsk78AbzaJjMS36rl5FuABVHEjIZa9NOW67RyUTY3UG4cbkjFG2uRD4h6jIcyqhdCnt+30TcIO7P1NZ4KHu9TrgzdGiVxJyyt+In2fj1DGG32wmZjaPUKJxFnXm3Meh3mvMasJN1EnR84OBzYTfzFgdCKwEfplIw/8Qfi/7JrZPXl9/QLjWbMkRm9leFqoMn4zStyn6rK8cQ/ouAPY3s12i196b0PAy7dxtdtqGKWOA/j5wvLv/lBCoz7KRXVPmMFR8Gbcqtj7uySrPX1xju8qyynbbRX//QPgS449ZhEATtw3wdMprxl0AfItwIXwueq3lNfbJJLqgfo2QSxvRGMXd7yZUJbyX8Dkrn6UejxLSe4KZvRF4KfDdlO22I1xcksftB9H65LE7BtiWcAH6TLTsCuCXwLFmtn2V9LyIkMNeXWV9xaWEG6G/j56fCPza3UfUTdfh/6K/80fdarh/IByH5wnVBD8D/iO2frvYNvHHudH65HHLxMx2Jdz8ftTd11bbLroJfpxQhHg4sIb03+do5+TWibROZLDrBzZZqKv9nZkdN4GvfS4h/V+ewNespd5rDIRrx+LoZvMk4GIyFsmPkob5Ke9fqQ5KpmHYddPdNxJ+Jy+GLdU0Pyf8Rv4J+Ctgb8LN97QxpO8awvdSKao/kfAbvT5l22anbZgy1kF/0ofqWE4l3M19w8z296gMgnDxTbu72T62Pm4esCLxHODPKdslzSPUS8NQsH074UtOSgbjXQhFqVW5e7+FBjK7EgLLvwJ7kZ5LqdeHCUHu30Z5/y9Fdb5HEep1+oE76nyfCwl3r68Evu3u68xGVNE8TSiy/mCV1/h95R8zexGhXv5swg3GL4DXAF8g5GbuIVSFHJryOq8B7o/9VlK5+9Nm9n3gA2b2U0Kd1Hgv7suBzxLqsL6UcZ8bCLk0I9zcnE3I/RwQrX8a+F/g81X2f3yMaf0acLu7X5Fh268TLvwbgIvc3VO+39UMnX9x2zN0rjwV/U3eGI/HvoRgNJNQJH6JmfW4+7hucs3srwntWt7u7htTPm+j1HuNwd1vN7OHCL+9NxLSPZ7c39OENiKHV1nfk3g+7LppZlMIN2WV6+uBhLYqh7v7n2LbbTWWxLn7JjP7BnCymX0BOAL4krtvTtm8qWlLKmOA3sLdnzGzk4AfEe6SLoxW3Qz8nZntFxVDV7yPEATuT7zU4cCNsedHEIo5bk9sd5iZnVkpfjOz/YAdGWo09bNov5e6+89GS3sUZPYk9HWs5d8IDWVe6+6PmdnMWjtk8FJCzvij7l61f2V0IfoQ8F53vyVaVu97/ZhQN3UYIUCmWUa4Q/2ju/+lxutdQChi+/foZPwP4JvufnqUviXArWZ2mLv/MPZZXkioq/tixnRfQPhuv0FoVDOufvbu/mszuxH4hJld6+5/SG5jZge5+7WxRU/7UEO4O8xsR+A/zWy76DgtIxTHrXD358eTvpjDCDcke2bc/luE33EH4eYjzc3Au8xslrs/B6FlbbR9d7TNQ4SL+3FmdnGtm6iM7qpcmM3sbsKN5p6MrxSqg9A25L/GG+jHIPM1JuFCQs75h+7+hJmNJ0AvI9z89rn7gxm2PxyId4P9O0LpbuW6WQl2W0rnzOwVhHN1rKUpFxEaCP+A0KjwkgKlbYtSB2gAd7/WzK4CPm9mN7j7/xEaEHwQuNrMPkk4kO8n1Bt8wEe2pH6XhW5b/0Ood/4UcIWP7AozC/iRmV1EqMv+HPAwoWgVd3/EzD4PnBedADcTcpwvid77G+5+k5n9HaFe73mq/3AAMLPdo/Sc4u6P1Tgcs6OiybitCPVwO/vwFs3/QGixeSFVRDcC3wKuige6ern7gJm9i9CQ6XdVNvsy4Ybhf83sy4Qc8wxCycEb3f2gKE3vBf4G2NejlvMp73ebmX2N8D383N3XWOhu9UVgCnCPmcXryaYC21qsNXLsde4hFL1/zd2r1lvX4UhCcLgjSmNloJJdCQOVTAbiAXpulFYj/I5OJuSKKzdVZxCKFn9hZucRAtzWwG7ATu5+7BjSeCJwvrvfl2Vjd19rZm8iNOyqVmVzFuF7+3l0jjjhxnMroiqKKOf9L4SeAzea2dcJn/NVhIZHnxrDZ3mlmVVy0EdFy0a0/K/TGwjndbWbkYbJeo1J2fVKQq43S0Ct5TuEKqafm9mXgHsJ59XOwP8jNFSLnysLzOybhBvcVxBy8t2xdiLLCXW7V0SvtwOh1OiPjLGa1t3/bGbXEUr9ro/iQpqmpy2Z0FI8GGpx/fKUdXMJJ/JPYst2IAwK8RSh6O0+4Mgqr/kmwkWxj1AUdz4wPbZdV7TdyYT6v15CI6MfAy9LSc/fE1qYr4te8wHCHfeO0fp7CS1dX52yrxO1sCb86O8F/juxzSLSW3H7KI+exLaDwBsSr9vN8FbcXycU9WydksasrbhTW9GS3rp8a0KgfowQtP5CKL79l2j9NoQ6o3PTvsfEshnR61wePb+8xvFxUlqFErqfObBgAn/LMwl39/dEv5ENhBuSrxCCatp3Ohgdj+uA3RKvtyMhl//n6Lg9QchpHVnl/Z3RW3E/CbxgtH1ItOxNea0eEr0KCI06lxPOiXWEur3Xp+z7FuCmaLs+wjlwTLVrQo3fX+XRR9RFcpzfXeV39LGU9+sZz2unfA8jWnHHthn1GhP7zlLPU9KvId1kaMUdLZsWfeYHGWrTcUe0rDPxHodEr/EMoR3Nd4FtE693ePRa/YTqxiOifVKPKaO04o5tszh6/3eP8vknPG31PCx6A0lhoQP/Nwlde0YUN8a26yJc7I939280J3UTJyqmvtLdu/JOS14sDMDS4+5nVll/JOGCuCix/FZg0N3f2Og0ipSJhQFvbgLe5s2vCsDMvkMoit7JE70C8k5bRemLuCWT9dRojNYGHiG9FXFFL1HbhKh1+57AWwmtNg9qeOpEZEJEVUJ7EKrMTk0G5yJRgBY8dJc6oOaGJebuZ9VY/1NC32EI1SO/JBR7neNhNC4RaQ2/IhT7f4vQ0LOwVMQtIiJSQGUcqERERKTlKUCLiIgUkOqgq9h22229q6sr72Q0zLp165gxY0beySgkHZvqdGyq07GprizH5q677nrK3ec26/0UoKvo6urizjvHO15BcXV3d7No0aK8k1FIOjbV6dhUp2NTXVmOjZmtbOb7qYhbRESkgBSgRURECkgBWkREpIAUoEVERApIAVpERKSAFKBFREQKSAFaRESkgBSgRURECkgBWkREpIAUoEVERApIAVpERKSAcgnQZraLmfWb2ZWxZe8zs5Vmts7MfmRmc2Lr5pjZNdG6lWb2vsTrjXlfERGRIsorB30+cEfliZktAC4C/h6YB6wHLkhsvzFa937gwmifce0rIiIl198LT98R/raYps9mZWZHAM8AvwReHi1+P3C9u/8i2uZ04AEzmwUMAocCu7l7H3CLmV1HCMgfG+e+IiJSVj1L4fYlMGkKDG6EfS6FrsV5pyqzpuagzWw28Bng1MSqBcC9lSfu/ggh1/uK6LHZ3R+KbX9vtM949xURkTLq7w3BeeB52LQ2/L19SUvlpJudgz4LuNTd/2Rm8eUzgbWJbdcCs4AB4Nkq68a77zBmdgJwAsC8efPo7u4e/dO0sL6+vlJ/vvHQsalOx6Y6HZvqcjk2A+thyjngA0PLrANuvQM6tmpuWsaoaQHazPYA3gq8LmV1HzA7sWw28ByhmLrauvHuO4y7XwxcDLBw4UIvwwTj1ZRlAvVG0LGpTsemOh2b6nI5Nv29cO1hIedc0TEd9lsJ0+Y2Ny1j1Mwc9CKgC/hjlHueCXSY2auBZcDulQ3NbCdgKvAQIch2mtku7v5wtMnuwIro/xXj2FdERMpo2txQ53z7Epg0GQY3hectEpyhuQH6YuCq2PMPEwL2ScB2wK/M7I3A3YR66qvd/TkAM7sa+IyZHQfsARwE/FX0Ot8Zx74iIlJWXYth+7fCuh6Y0dVSwRmaGKDdfT2hCxQAZtYH9Lt7L9BrZicSgu02wHLgmNjuJwOXAX8BngZOcvcV0euuGOu+IiJSctPmtlxgrmh6N6sKdz8z8fy7wHerbLsaOHiU1xrzviIiIkWkoT5FRKQYWnhQkUbILQctIiKyRdZBRfp7W7ZOuV7KQYuISL6yDirSsxSunQ83vi387VmaT3qbRAFaRETyta4n5JzjJk0OyytKMDJYvRSgRUQkXzO6QrF23OCmsLwiSxAvGQVoERHJV2VQkY7pMHl2+JscVCRLEC8ZNRITEZH81RpUpAQjg9VLAVpERIohOahIssV2i48MVi8FaBERKZ5q3a5aeGSweqkOWkREiqUNW2ynUYAWEZFiSWuxbR2lbrGdRgFaRESKoTLUZ+fMkS22N/fB6rvzSVdOFKBFRCR/8VHClu0FL33fyG3u/lBbFXMrQIuISL7S6pxXXhly0nElH5gkSQFaRETyVW2UsMFNw5eVfGCSJAVoERHJV9ooYT4Ae31l9NHFSk79oEVEJF/VRgnrWgwvOaRtBiZJUoAWEZH8VRslrI0GJklSgBYRkWJo42CcRnXQIiIiBaQALSIiUkAK0CIiIgWkAC0iIlJACtAiIiIFpAAtIiJSQArQIiIiBaQALSIi+atMNdlGs1XVooFKREQkXz1Lo2E+p4QxuSvDfLY55aBFRCQ/aVNN3r5EOWkUoEVEJE/Vpppso3mfq1GAFhGR/KRNNdlm8z5XowAtIiL5qUw12cbzPlejRmIiIpKvalNNtjkFaBERyZ+mmhxBRdwiIiIFpAAtIiJSQE0N0GZ2pZk9YWbPmtlDZnZctLzLzNzM+mKP02P7TTWzy6L9VpnZqYnXPcDMHjSz9WZ2k5nNz7qviIhIETW7DvpzwBJ332BmuwLdZnYP8HS0/oXuvjllvzOBXYD5wPbATWZ2v7svM7NtgauB44DrgbOA7wH71tq3ER9QRERkIjQ1B+3uK9x9Q+Vp9Ng5w65HAWe5+xp3fwC4BDg6WncIsMLdf+Du/YSAvHt0A1BrXxERkUJqeituM7uAECCnA/cA/w1sG61eaWYO/Az4iLs/ZWZbAzsA98Ze5l7g4Oj/BfF17r7OzB4BFpjZkzX2TabtBOAEgHnz5tHd3T3Wj1l4fX19pf5846FjU52OTXU6NtXp2IxN0wO0u59sZv8EvAFYBGwAngL2Bn4DbAOcD3wHeAcwM9p1bexl1gKzov9nAslBWyvra+2bTNvFwMUACxcu9EWLFtXz0VpKd3c3Zf5846FjU52OTXU6NtXp2IxNLq243X3A3W8BdgROcvc+d7/T3Te7+5PAKcDbzWwW0BftNjv2ErOB56L/+xLr4utr7SsiIlJIeXez6iS9Dtqjv5PcfQ3wBLB7bP3uwIro/xXxdWY2I3rNFRn2FRERKaSmBWgz287MjjCzmWbWYWbvABYDPzezfczslWY2ycy2Ab4KdLt7pWj6CuA0M9s6avx1PHB5tO4aYDczO9TMpgFnAPe5+4MZ9hURESmkZuagHTgJ+BOwBvgi8C/ufh2wE7CMUPT8O0K9dHy27k8BjwArgZuBcyvdpNy9FzgU+Gz0uvsAR2TZV0RECqK/F56+Q/NAxzStkVgUSN9cZd1SYOko+24Ajo0eaeuXA7tWWTfqviIikrOepXD7kjAv9ODGMJtV1+La+5Vc3nXQIiLSzvp7Q3AeeB42rQ1/b1+inDQK0CIikqd1PSHnHDdpclje5hSgRUQkPzO6QrF23MAG6JyZunk7UYAWEZH8TJsb6pw7pocHAJNg2V6hbrqNKUCLiEi+uhbDgXeBD4bng8+rLhoFaBERKYLNfdAxbfiyZF10m3XFavpY3CIiIiOk1kVvDMuhLbtiKQctIiL5q9RF2+TYwkFYtbxtu2IpQIuISDFs/1aYFCvYHdwYAvHqe9qyK5YCtIiIFEO1PtHGyOLvwU1Dxd8lpQAtIiLFkFYPPbgJtn7dUFesybPD330uDcXiJaZGYiIiUgyVeujbl4Sc8+CmoUDctTgUga/rCYG85MEZFKBFRKRIRgvE0+a2RWCuUIAWEZFiGW8g7u8tRU5bAVpERPIz0cG0RP2l1UhMRETy0bMUrp0PN74t/B3v2Nsl6y+tAC0iIs3XiGBasqkrFaBFRKT5GhFMq3XTatH+0grQIiLSfI0IpvGpK0vQX1qNxEREpPlG6/M8HiXqL60ALSIi+WhUMC1Jf2kFaBERyU9JgmkjqA5aRESkgBSgRURECkgBWkREpIAUoEVERApIAVpERKSAFKBFREQKSAFaRETKq78Xnr6jJSfMUD9oEREppxafelI5aBERKZ8STD2pAC0iIuVTgqknFaBFRKR8SjD1pAK0iIiUTwmmnlQjMRERKacWn3qyqTloM7vSzJ4ws2fN7CEzOy627gAze9DM1pvZTWY2P7ZuqpldFu23ysxOTbzumPcVEZESmzYXttm75YIzNL+I+3NAl7vPBv4fcLaZ7WVm2wJXA6cDc4A7ge/F9jsT2AWYD+wPfNTMDgQYz74iIpKihfsOl0lTi7jdfUX8afTYGdgLWOHuPwAwszOBp8xsV3d/EDgKONrd1wBrzOwS4GhgGXDIOPYVEZG4Fu87XCZNbyRmZheY2XrgQeAJ4L+BBcC9lW3cfR3wCLDAzLYGdoivj/5fEP0/nn1FRKSiBH2Hy6TpjcTc/WQz+yfgDcAiYAMwE0j+AtYCs6J1lefJdYxz32HM7ATgBIB58+bR3d2d5SO1pL6+vlJ/vvHQsalOx6a6UhybgfUw5RzwgaFl1gG33gEdW435ZUtxbHKQSytudx8AbjGzI4GTgD5gdmKz2cBz0brK8/7EOsa5bzJdFwMXAyxcuNAXLVpUz8dqKd3d3ZT5842Hjk11OjbVleLY9PfCtYeFnHNFx3TYb+W4GlnVPDb9vS3b0rqR8u4H3Umog14B7F5ZaGYzKsujuuMn4uuj/yv12ePZV0REKvLoO9yzFK6dDze+LfztWdq492oxTQvQZradmR1hZjPNrMPM3gEsBn4OXAPsZmaHmtk04AzgvqiRF8AVwGlmtrWZ7QocD1werRvPviIiEte1GA5aCW9ZHv42soGY6rxH1cwctBOKs/8ErAG+CPyLu1/n7r3AocBno3X7AEfE9v0UoeHXSuBm4Fx3XwYwnn1FRCRFs/oOl2C87EZqWh10FEjfPMr65cCuVdZtAI6NHhO6r4iI5KQE42U3Ut510CIi0q5KMF52I2ksbhERyU+Lj5fdSArQIiKSr2lzFZhTqIhbRKSdaJztlqEctIhIu9A42y1FOWgRkXagPsctRwFaRKQdqM9xy1GAFhFpB+pz3HIUoEVE2oH6HLccNRITEWkX6nPcUhSgRUTaifoctwwVcYuISLm1aN9v5aBFRKS8Wrjvt3LQIiJSTi3e91sBWkREyqnF+34rQIuISDm1eN9vBWgRESmnFu/7rUZiIiJSXi3c91sBWkREyq1F+36riFtERKSAFKBFREQKSAFaRESkgBSgRURECkgBWkREpIAUoEVEJH8tOqFFI6mblYiI5KuFJ7RoJOWgRUTaQVFzqC0+oUUjKUCLiJRdz1K4dj7c+Lbwt2dp3ikakmVCi6LeXDSYArSISJkVPYdaa0KLIt9cNJgCtIhImRV9ysXRJrQo+s1Fg2VuJGZm+wOLgZcCw75td3/LBKdLREQmQitMuVhtQovKzcXA80PbVm4uWnBs7XplykGb2dHAT4BZwCKgF9ga2BO4v0FpExGR8WqVKRenzYVt9h6erla4uWigrDnoDwOnuPs3zOw54OPu/qiZnQf0NS55IiIybq065WLl5uL2JSHnPLipmDcXDZI1QO8ELI/+3wDMjP4/D+gGPjaxyRIRkQnVKlMu9vcOv5Fo1ZuLCZA1QD9NKN4G+DOwG3AfsA0wvQHpEhGRdlNtwJJWubmYYFlbcf8v8Pbo/+8DXzWzbwJLgZ81ImEiItJG2rzFdpqsAfoUQjAG+BxwLiH3/H3guCwvYGZTzexSM1tpZs+Z2W/M7J3Rui4zczPriz1OT+x7mZk9a2arzOzUxGsfYGYPmtl6M7vJzOZn3VfaSJsOdiACFP/3X/TuYDnIVMTt7qtj/w8Cnx/je/0f8Gbgj8C7gO+b2Wti27zQ3Ten7HsmsAswH9geuMnM7nf3ZWa2LXA14UbheuAs4HvAvrX2HcNnkFalsX6lnbXC77/NW2ynyTxQiZlNM7NjzeyL0eNYM8tc/+zu69z9THfvcfdBd78BeAzYK8PuRwFnufsad38AuAQ4Olp3CLDC3X/g7v2EgLy7me2aYV9pByo6k3bWKr//VukO1kTm7rU3MtuTkDvdCvhttHg3Qovud7v73XW/sdk8YCWwB9BPCNaPA06o1/6Iuz9lZlsDq4Ht3f3JaN/DgE+5+2vM7CvAFHc/KfbavwM+Bdw42r4paToBOAFg3rx5e1111VX1fqyW0dfXx8yZM2tvWAYD6+HZh8AHhpZZB8x+BXRsNWLztjo2ddKxqa6wx6bO338j1HVsfHPISU+aAlasCRf333//u9x9YbPeL+unvxi4FTjG3dcBmNkM4LJoXV0JNrPJwHeAb7n7g2Y2E9gb+A2hbvv8aP07GOrStTb2EmsZalU+kzBwCinra+07jLtfHH0eFi5c6IsWLarnY7WU7u5uyvz5hunvhWsPGz4aUcd02G9l6t15Wx2bOunYVFfYY1Pn778RJvTYJLthlVjWIu4FwJmV4AyhyBr4TLQuMzObBHwb2EhofIa797n7ne6+OcrpngK83cxmMTQQyuzYy8wGnov+70usi6+vta+0AxWdSTtr1d9/WqO2Nps4I2sO+kHgRYwc1nMH4KGsb2ZmBlwKzAPe5e6bqmxaKXef5O5rzOwJYHeGunTtDqyI/l9BqGeuvMcMYGdCvXStfaVdtPFgByKF+/3XygWnNWrb/q1DdemV0oDbl4TleX+eBsmagz6N0Pf5iKhLVJeZHQH8J/BJM5tTedR4nQuBVwHvcfct5S1mto+ZvdLMJpnZNsBXgW53rxRNXwGcZmZbR42/jgcuj9ZdA+xmZoea2TTgDOA+d38ww77STtLG+hVpF0X5/dfKBVdr1LbmnrbrhpU1B3199Pe7DOVuLfp7bey5Ax1pLxD1Tf4AoWHZqpCZhmjZIHAOsB3wLCG3G+8D8ClCcF8JPA98vtJNyt17zexQwrCjVwK3A0dk2VdERJooHnyr5YKrzWDltF03rKwB+i0MBeYxcfeVDAX1NFUrE9x9A3Bs9EhbvxzYtcq6UfeVFG3UCENEmijL9JHV+kPPeR3stAQePm9o+U5LSn2Nyhqgb6kygIiUTSsMaCAirSnLYCTVZrACePTS4fs+eim85ozSBumsddBPRIOTvKqhqZF8tcqABiLSmrK2KO9aDAethLcsD3+7FrflUKBZc9CfAI4BTjWz24FvAN9zd80FXSZZip9ERMZjrC3K23Ao0Ew5aHe/xN3/itDn+RbgbEKu+jIz26+RCZQmasMTQERyUKtFeVpL71btzz0OmcfiBnD3B9z9I8COhFz1+4BfRDNJnRgNQiKtqg1PABEpmNGq2tKKvuP7FXm2rjGoa6BTM5tCmJziWELL7lsIA4+8CDgdWMTwLk7Saoo2oIGItJdaVW2VR1xJG7dmCtDRZBnHEvombyIM/nGKuz8U2+YG4M5GJFKaLO0EEBFphnqr2rL0rW5RWYuk7yAMn3kCsKO7fzQenCM9QHmnfxIRkcart6qtxK27sxZx7xQNNFJVNHnGMeNPkuRCg5OISKNlvc5Uq2pL27/EjVuz5qBvisbIljJqsxliRCQH9V5nki29q+1f4satWXPQXVQZY1taXInrb0SkIHzz+K4zta5TJW3cWk+3qHGNxS0FVeL6GxEpiMGN47vOZLlOFWW2rglUTzera8xsY9oKd3/LBKVHmq3E9TciUhCV7k9x9Vxn2vQ6VU8O+lfAzVUe0qpKXH8jIgVhneO7zrTpdSprDtqBc939L41MjOSkpPU3IkJxemiM9zrThteprAF6tHmcpQw0OIlI+RRthK3xXmfa7DqVtYj704BmrhIRaRWaPrblZZ3N6tPuvr7RiRERkYxqTQ6hHhotL3MrbjM7hjAW90uBYd+6u+80wekSEZFqshRdt2nL52GKUv8+Rply0Gb2EeBLwF2EQUt+BPwOmANc1qC0iYhIUtai6zZt+bxFCUZIzJqDPh44wd1/aGanAOe5+6Nmdjowv3HJExGRYWpNxxjXhi2fgdKMkJi1kdiOwK+j/58HZkf/LwUOnehEiYhIFfUWXZdwhK2aqtWzt1j9e9YAvQrYNvp/JfCG6P+XoyFARUSap92LrrPonDm8hAHC886Z+aRnjLIWcd8I/D/gbuBS4MtmdjiwJ/D9BqVNRETStGvRdVab+2DSdBiMVwNMC8tbSNYAfQJRbtvdv25ma4D9gP8CLmpQ2kREpJo2G7SjLjO6Rg6vZdZyLdgzBWh3HwQGY8+/B3yvUYkSEREZs0o1wO1LQgO6wU0tWQ1QTz/oHYCTgFdHi+4HLnT3JxqRMMlJi/cbFBEBSlENkLUf9NuAR4D3Auujx+HAI2b29sYlT5qqBP0GRUS2aPEW7Flz0F8FvgF80N23tNo2s68AXwFe1YC0STOVpN+giEhZZO1m1UUYnCTZpep8NFBJOWjcXhGRQskaoO8EXpOy/DXAPROXHMmNxu0VESmUrEXcFxD6Pu8C3BYt25fQaOxjZrZnZUN3v3tikyhNUZJWjyIiZZE1QH8n+nvOKOsgjCrWMa4USX5K0OpRRKQssgbolzU0FVIcGvxARKQQsg5UsrLRCREREZEhWRuJYWbvNLMbzOx+M3tJtOw4Mzsg4/5TzexSM1tpZs+Z2W/M7J2x9QeY2YNmtt7MbjKz+Yl9LzOzZ81slZmdmnjtMe8rIlJ4/b3w9B0j53yWUss6UMn7CZNiPEwo7p4creoAPprxvTqB/wPeDLwAOA34vpl1mdm2wNXA6cAcQqvx+FCiZwK7ELp07Q981MwOjNI25n0lhS4EIsVS1gGEdK2pKWsO+qPA8e7+IWBzbPltwB5ZXsDd17n7me7e4+6D7n4D8BiwF3AIsMLdf+Du/YSguruZ7RrtfhRwlruvcfcHgEuAo6N149m3vSVPkLJeCERaVXwAoU1rw9/bl7R+UNO1JpOsAXoX4Fcpy/uA2WN5YzObB7wCWAEsAO6trHP3dYShRReY2dbADvH10f8Lov/Hs2/72rh6+Any8EXlvBCItLIyDiBU1puOBsjaivtxQjBNNhZ7EyEY1sXMJhO6Z33L3R80s5lA8ttZC8wCZsaeJ9cRrR/rvsl0nUCYWpN58+bR3d2d8RO1GN9M3/rNdE8+KzzvAH63DqZ8FnxwaDvrgFvvgI6tcklmXvr6+sr73Y+Tjk11DTk2vhk6PwUd8fNyEty3FmyC36uBhh2bgfUw5RzwgaEN2vRaU0vWAH0x8FUzOy56/hIzeyPwBUKRcmZmNgn4NrAROCVanJYTnw08F62rPO9PrBvvvsO4+8WEz8rChQt90aJFGT9Vi3n6Drp/8TsW9X94aFnnzDA4yeCGoWUd02G/lW3X7aq7u5vSfvfjpGNTXcOOTU/vyAGEut468e/TQMOOTX8vXHvY0Jj/0LbXmloyFXG7+xcIDbF+BswAbgK+Dnzd3c/P+mZmZsClwDzgUHffFK1aAewe224GsDOhbnkN8ER8ffT/ignYtz3N6CKMKRPjA7DXV8KJMnl2+KuRxETy17UYDloJb1ke/nYtzrZfURthVUYt1LWmpszzQbv7J83ss4T5oCcB97t7X43dki4kzHz1VneP3T5xDXCumR0K/Bg4A7jP3R+M1l8BnGZmdxKC+/HAMROwb3uaNhdmzIeN08Nd+cBGePUn4CWHhIdGEhMplnoHEOpZGuW6p4Qx9ve5NHtgbwaNWphJ5n7QAO6+3t3vdPdf1xuco77JHyC0+l5lZn3R4/3u3gscCnwWWAPsAxwR2/1ThLrulcDNwLnuvixK05j3bWtT5oS78Vd9BMzgwS+GxmKrlrf0/Kkiba9VGmG1+FzNzZApB21mN4623t3fUus1otHIbJT1y4Fdq6zbABwbPSZ037a34hzNAS1SJpWW3/E63krLb53XLSVrEfci4JvA+sYlRZpOJ7JI+Wjq2NLIXAcNfNzd/9KwlEjz6UQWKR9NHVsa9QRoKRudyCLl1MqNsPp7WzPdDaAA3e5a+UQWkepacerYorc+b7J6AvSJZpbactvd/2OC0iN5aMUTWUTKJd76XI1WgewB+o9U7zvsgAK0iIiMnRqtjpApQLt7V4PTIXnq74U194RbrTmva9uTQURypEarI6gOut31LIVfHQWVUVcnTYF9L2/reh8RyYEarY6QdaCSr4623t3/eWKSI03V3wu3HTsUnCHcwbZ5vY+I5ESNVofJmoM+BfgT8AdGjgbmIzeXlrCuJ0zzlmST2rreR0RyEO9etc3eeaemELIG6E8zNFTm14GrYzNRSauqTDGZ5INtXe8jIk2m7lWpsk43+WngZYTW2kcCK83s381sx0YmThpo42pYthdMSuSgJ01p+3ofEWmiVpncIwf1TDc5CNwA3GBmBxGmcVwNfKFBaZNG6e+FdSsT3Rmmwr5XwPb7KziLSPOoe1VVmQO0mU0HFgMnAlsD5wCXNihd0kjrehjRlKBjKsx6WdufECLSZOpeVVWmIm4zO58wWMk7gU+4+y7u/nl3f7qhqZPGmNHFiLZ9OiFEJA+V7lUd02Hy7PBX1WxA9hz0ScBfCHMu/4fZ8NyXu792gtMljTRtLsyYDxunq7+hiOQva/eqNptIo55W3FIW/b3QMQ0OvAs297XNj11ECqzWnABt2NI761CfCtBlUfmRTzkHlh0WfuTqcygyNvEcnUycZE65TSfSqKeR2DTgb4CdgYvc/Rkz2xlY4+6rG5VAmUDxH7kPDHVnKPmPXKQhkjm6ra/MO0XlkJZTnvXytmzpnbWR2MuBBwmDlHwWmBOtOgl1s2odle4McZUfuYhkl9Z3d91K9d0dr2p9ojtntmVL70wBGvhP4H+AeUDsFobrgP0nOE3SKLW6M/T3wtN36CIjUkvazS6mm93xSjuu1hHayrRhS++sRdx/Bezr7gOJFtx/BF404amSxojPFmMdw3/kbdgAQ2TM0m528dLn6Bou7bhu7oPVd8MuH2i7iTSy5qABJqcseymwdoLSIs3QtRgOWgmzXxH+di3WUHsi9UrruztjflsEjYaaNhf2/PLI5Xd/KFyPps0NjVrb5DhnDdD/A5wae+5mNpvQ/erHE54qaaxpc6Fjq6EfedHqplXULq2gcrP7luXh75Q5tfeR2ubsCZ2zhi9r07YyWYu4TwVuMrPfA9OA7wEvB54EDm9Q2qRZijTUnorapZVU67vbZgNqTKgZXeCbhy9rgwZhabLOZvU4sAfweeAi4E7go8Ce7q5sTqsrylB7KmqXMuhZCtfOhxvfFv72LM07Ra2lKNejAhg1B21mlwEfdPfn3P154LLoIWWTdai9RtKsNtLq2nRAjQlXhOtRAdTKQR8FTG9GQqQA8m6AUaSidpGxKFp7jlaW9/WoAGoFaKuxXmTiqGhLWp1uMmUCZWkk5rU3EZkgKtqSVhYfa0Azxck4ZQnQq5LTSya5e8fEJEearoitTWvNaiNSZLrJlAmSJUCfADzT4HRIHtSlSaQxdJMpEyBLgL7e3f/S8JRIc/lmtTYVESmwWo3EVP9cVoMb1dpURKTA1Iq7XVWKtePU2lRkfDRMrUygUQO0u09S8XZJWae6NIlMpI2rNYKYTKh6ZrMaNzM7xczuNLMNZnZ5bHmXmbmZ9cUep8fWTzWzy8zsWTNbZWanJl73ADN70MzWm9lNZjY/675trWsxHHgX7PXV8FcNxETGpr8X1q3UMLUyobJOljFRHgfOBt5B+ghlL3RPjpIOwJnALsB8YHvCxB33u/syM9sWuBo4DrgeOIswmce+tfadqA/VstSKW2RirOthRI2ghqmVcWpqDtrdr3b3HwFP17nrUcBZ7r7G3R8ALgGOjtYdAqxw9x+4ez8hIO9uZrtm2Ld9xVtx645fZHxmdDGiTa3adMg4NTsHXctKM3PgZ8BH3P0pM9sa2AG4N7bdvcDB0f8L4uvcfZ2ZPQIsMLMna+w7jJmdQOj3zbx58+ju7p6AjxTjm4daT1u+h76vbz3dU84BHxhaaB1w6x1hrug21tfXN/HffUno2FTX1/Eyuqf/ByEn7TBjPty2Iu9kFYJ+N2NTlAD9FLA38BtgG+B84DuEovCZ0TZrY9uvBSozes8Ektm+yvpa+w7j7hcDFwMsXLjQFy1aVPcHqapgxcndNy1n0V8+MXzmqI7psN/Kti+S6+7uZkK/+xLRsamuu7ubRfseqRHEUuh3MzZNLeKuxt373P1Od9/s7k8CpwBvN7NZQF+02ezYLrOB56L/+xLr4utr7dscRZjnONn9Q624RSaeZmCSCVSUHHRSpTJnkruvMbMngN0JRd9E/1fKjlYQ6pkBMLMZwM6Eeula+zZH3vMcp+Xe2UFjBouIFFizu1l1mtk0oAPoMLNp0bJ9zOyVZjbJzLYBvgp0u3ulaPoK4DQz2zpq/HU8cHm07hpgNzM7NHrtM4D73P3BDPs2R55T0FXLvVcay+uOX0SKRgO+AM0v4j4NeB74GHBk9P9pwE7AMkLR8++ADUC8gvZTwCPASuBm4NxKNyl37wUOBT4LrAH2AY7Ism/T5DXPcX8vPP7fIxukTZo88oZBRKQIepZqwJdIU4u43f1MQjeoNFW/BXffABwbPdLWLwd2rbJu1H2bptnFyZVibeuEzYkq98FNI8fhFpHx8c0h16fqorGLl/hpEp9iNBJrG80qTo7/yOPBuXPWUO49525eIqXSsxSe+a1yfeNVaa8T18aT+ChAl1Haj7xzJiz8Ghy0UqOFiUykyg2xD2rQn/HKs71OASlAF8lENYxI+5H7ALzoXW1ZTCTSUMr1TZy82usUlMo5i2IiBzKp/MhvXxI1CNvU1j9ykYaq3BB3xJa1ca5v3NT9cwsF6CJoRMMI/chFmqNyQ3zPqpDr0w3x+E2bq+OHAnQxTPRAJv29Q4F5m72zbaeTQWTsuhbDY8vhtct1PsmEUYAugolsGJG1qLwyuXxBxgYXaXnWOfoNsUid1EisCCaqYUTWMb81ubyISOEpB91oWYuRJ6LOOGtRuSaXFxmf5Hnd3wsD68NfnUMyQRSgG6neltnjbRiRVlQ+sBE2rBnKHa/rCX2iNbm8yNgkz+udlsCjl8KUc+Daw1RdNBZqD5NKAbpR8hiyLtm9avPzwCDcejhsXg9mofh8cCPMugg2Tlc3LJF6pJ3XD58X/vrAUHVRmw5NOSYT2cW0ZBSgGyWvKSYrReVr7oFfHBzev5Krdob+3/AUHHgXbO7TXatIVmnndZKqi7KrJyOTlssuec5bAbpR8hyybtpcmLJ1jQuJheCsVqci2aWd10mqLsoua0YmdU57Sp/zVivuRsl7yLqaFxLXRUSkXmnn9S6nhL/W0fZDU9YtS0amWu+U244tfU8U5aAbKc/RvNLqo82gY1p0AszXRURkLNLO69ecAbfeAfut1HlVjyzDEqflsi0lb1nCqgUF6EbLc8i65IUEhv6/bUU+aRIpg+R5PW0udGxVquDQNLUyMqmT/wyCl78nigJ02aVdSEREimS0jEy1XDaUfkIgBeh2UfLWjiJNofNofMZ6/Krlsks+IZACdJlVTobVd8PdH0q0gNwh79SJtBb11x2f8R6/tFx2yWe9UoDOW6PuyCsng3XC5ufCsng/w+2um7j3Eim7PAYeKhPfrOM3BupmlaeepWFGqRvfFv72LJ2Y141fTCrBOW7S5Np9OUVkSKUlcVyl1bDUNrhRx28MFKDzknXmqbFIu5jEDW4afb2IDJfnwENlUCnWjqt1/Pp74ek7Ste3uR4K0Hlp5B15tUFKOmcODaRgqt0QySzvgYdanXXWd/waVbrYYnSVzksj78jTuiXs+WWYs+dQXXdP9/jfR6Sd5DnwUBlkPX6q799CATovWUbQGQ9dTESkaLK0us5roqECUoDOU6ODaMm7IIg0lbpZNYfq+7dQHXTeps0NM0opkIoUVyMbdbaLrI2+VN+/hXLQ7UCjH4mMj4pdx2fj6tDYK630Ie36NFGliy1+7VOALjsVy4mMn4pdx66/F9atTG/0tWp59evTeKvoSnDtUxF3malYTmRiqNh17Nb1ADZ82aTJsOaexl2fSnLtUw46T40ufhmtWE5E6qOeEWMzowu4ZfiywU3gNK7aoCRVEgrQeWlG8cuoxXKaD1qkbuoZUb9pc2HGfNg4fXiX0jmva1y1QUmqJFTEnYdmFb+oWE5EimDKHDhoJbxlefjbtbix16eSXPuUg85DM4tfVCwnIkWQVvrQyOtTCa59CtB5aHbxi4rlRKSoGnl9avFrX1OLuM3sFDO708w2mNnliXUHmNmDZrbezG4ys/mxdVPN7DIze9bMVpnZqRO1by5KUvwiIiKN0+wc9OPA2cA7gOmVhWa2LXA1cBxwPXAW8D1g32iTM4FdgPnA9sBNZna/uy8bz74N+5RZlKD4RaQttPhgF9K6mhqg3f1qADNbCOwYW3UIsMLdfxCtPxN4ysx2dfcHgaOAo919DbDGzC4BjgaWjXPffLV48YtI6ZVgsIu2UrKbqaK04l4A3Ft54u7rgEeABWa2NbBDfH30/4IJ2FdEWkHWcZwn+j1LMNhF2yjhHNJFaSQ2E0j+6tcCs6J1lefJdePddxgzOwE4AWDevHl0d3dn/gC58s3h7n7SlDAxegZ9fX2t8/maTMemulyOzcbVYahIDLgl9KmdMqfx7zuwHqacAz4wtMw64NY7oGOrEZvrd1Ndw4+Nb4ZnVsHks8LzDuCeVfDY8szXxCIqSsr7gNmJZbOB56J1lef9iXXj3XcYd78YuBhg4cKFvmjRojo/Rg7GWATX3d1NS3y+HOjYVNf0Y9PfG3JD8S6JG6eHvrSNLsLs74VrDxv+3h3TYb/099bvprqGH5un74AbPx1KOiomz4bXLg+zBbaoohRxrwB2rzwxsxnAzoS65TXAE/H10f8rJmDf1qYiOCm7ypgBcc0arla9LYonXtUR/78kI4clNTUHbWad0Xt2AB1mNg3YDFwDnGtmhwI/Bs4A7osaeQFcAZxmZncC84DjgWOidePZt7WVZLxZaRNjacCT94VXvS2KI15aOPA8uEPnVkMlh/tcGq2PDSfa4t9Xs3PQpwHPAx8Djoz+P83de4FDgc8Ca4B9gCNi+32K0PBrJXAzcG6lm9R49m15eV+8RLIaawOeIuRip80NxaQtfrFvacnSwsGN4JuGlxxu/9aRw4m2uGZ3szqT0C85bd1yYNcq6zYAx0aPCd23pVUuXiW7a5SSiV9ck/MBV36ro+WulYuVtNLCuErJYclupIrSSExqqXYBS7t4lawvoLS4WtOePnwRrPgsdEyt3tBRYwa0l+Q1LK20MG5gYylLDhWgW0Gtltrxi5cGVpCiqVYVs/puWP7mocA9GHW0SOaupb1Uu4btcyncdgwMbhi5z4JPhr9P31GqjElRWnFLNfW01FarbimitHrkPb8Md38ovciyWa20pXhGu4Z1LYZ33gOTpg7fp2N6+I2VbJASUIAuvnq6meTZJUVkNF2LhzfgmbPnyN9qhRo6tq9a17AXvAr2/Wb1m72SZUxUxF109bTU7pwJA/3p26peWvKWrEdOq1OcNE0NHdtZlutdst1NibubKgdddFm7mfQshWV7seUr7Zg+tO2q5aUs/pEWlva7fu1ZcPAf1WainWW93sW7vpW4u6ly0K2gVjeTeL1NhQ+G+pqp2w4NlRjv4rLddc1KvUg6dZ+SNPX+Lkrc3VQBulWM1s0krYinYyps7guPtOKf0bosiCRVqkh888S+rrpPSZp6fxclvdlTgC6DWkU8aeuqNdARSXr4Irjrg+E3M/nT0NOrYmgpnhLe7KkOugxGq7eptq6Fp2CTJnr4IrjjxND3dPNzoeqkJC1kRYpOV+myGK2IJ21dT3cuyZQW0t8bcs5J1lmKFrIiRacAnaeJ7PpU67VKWPwjDbauJyppSYzcNFjOYRVFikYBupniQXTV8okbklPDe0ojrL4bBtaNXL7XV3SzJ9IECtDNMmwu0w3AYAim1Wb3ySrLTEEi9ervDaMzJW21I+zy3uanR6QNqZFYM4yYy7R/ZMvqsQ7JqeE9pRHSfleds2DyrFySI9KOFKCbIe1ilzTWkW9KPIqO5Cjtd+Wb1T1Pxq+/N8w6pZ4ANSlAN1Llh9g5c+TFziaPHPB9XU/9P9qsQ+OJ1EPd86QRepZq2OE66GxrlGTDrZ2WwKOXDh+KrtL1afXdob5vtEZeo7XSLukoOpIzdc+TiaT2MnVTgG6EtB/io5fCgXeFoTeTQbQyaX21H22WVtrqRiWNoN+VTJQSzzrVKCriboRqDbc29w3NwFJr20ojr9EmMBcRaRX1tJdRPTWgAN0Y9fwQa22rVtqSpIuXtKJ6ps5VPTWgAN0Y9TTcqrWtWmlLnC5e0sq6FsNBK+Ety8PftLY2KjHcQnXQjVJPw63Rti3xXKdSJzWykTKod+rcNq6nVoBupHoa2Iy2rVppC+jiJeWnEsNhVMTdKqbNHdnATNrLjK5omNiYNr54SQlpXIdhlIMWaRWrlgODQ89tcltfvKSkVGK4hQK0SCuo1D/Hi/8mdYYLmUjZqP89oCJukdag7nYibUcBWqQVqPGMSNtRgBYpkmqDkEybG8Zzj9tpiYoBpbw0II8CtEhhjDYISX9vGM897tFL2/riJSWmAXkABWiRYkgbQem2Y4cCsOqgpV1oNLEtFKBFiiAtAA/2wx8uCv+rDlrahW5Gt1CAFslTpZ6tc+bIQUgAVpwTttEADtIudDO6hfpBi+QlOc/3i98D//eD4dvEh/LUAA7SDjT/wBYK0CJ5SJv44s/Xw6RpoWi7Iplz0AAO0g50MwoUrIjbzLrNrN/M+qLH72Pr3mdmK81snZn9yMzmxNbNMbNronUrzex9idetuq9IQ1XrKlKtzvnF71Extgho/gEKFqAjp7j7zOjxSgAzWwBcBPw9MA9YD1wQ2+d8YGO07v3AhdE+WfYVaYzRuoqkTXwB8PgNcOBd1efLFZG2UcQAneb9wPXu/gt37wNOBw4xs1lmNgM4FDjd3fvc/RbgOkJAHnXfHD6HtItaXUWmzYUFnxy536TJsLmv7XMOIgLm7nmnYQsz6wYWAAb8Hviku3eb2bXAL93987Ft+4A3E6b3udXdt4qt+zDwZnd/z2j7uvtdifc/ATgBYN68eXtdddVVDfqk+evr62PmzJl5J6OQJuTYDKyHZx8CHxhaZh0w+xXQEf1UfTM881vw+AxVk+CFrwErZvMQ/W6q07GprizHZv/997/L3Rc26/2KdhX4N+B+QnH1EcD1ZrYHMBNYm9h2LTALGACerbKOGvsO4+4XAxcDLFy40BctWjTGj1F83d3dlPnzjUfVY9Pfm73RSn8vXHvYUAMwCHXK+60cvm9P78jWql3FnaFKv5vqdGyq07EZm0IFaHe/Pfb0W2a2GHgX0AfMTmw+G3iOkIOuto4a+4pkk+wStc+lo9cPZ+0qotaqIlJFoQJ0CicUd68Adq8sNLOdgKnAQ4QA3Wlmu7j7w9Emu0f7UGNfkdrSukTdviQE1tECatbgq65TIpKiMI3EzOyFZvYOM5tmZp1m9n7gTcAy4DvAe8zsjVGjsM8AV7v7c+6+Drga+IyZzTCz/YCDgG9HL11132Z/RmlR4xl6UF1FRJqrRLNgFSkHPRk4G9iVUK/8IHCwuz8EYGYnEoLtNsBy4JjYvicDlwF/AZ4GTnL3FQDuvqLGviLD65eTNPSgSGuotyqq4AoToN29F9h7lPXfBb5bZd1q4OCx7Csy4qTe+srh6zX0oEh+sjbOHGtVVIEVJkCL5CLtpF63cmiCigo15hJpvnpyxJWqqHjPifhY9i1IAVraW9pJjaWf1GrMJdI4ax+AVcth6jzYfv+wrJ4ccedMGOgfvqzFq6IUoGX86ukfXDRp9ct4S5/UIi3njn+Ch8+LLeiAlxySuHEG3GH1PTB16+HXm0pOu9LuuWN6+NviVVEK0EXWiMC39gF4+tcwMG/o9TtnhuEls75Pf284SQzoewzu/lCUC90Qhq/c5QNDr9OIzzCRr5lWvzxjfkuf1CK5qXVuVnLJg5vDaHk7RIPyDAvOAAMjp16FMKFM97tg8syhIu/t3zqU067wQXjnPfCCV03QB8uHAnRRVe4IrTP8EPf6Sgh8tcSD7jO/hf4nww/4Ba8afpc67Ytw9d9EdTvPw6SpgMG+l43e6rFnKfzqKPBNw5dXTo7fng73nxNOnPV/hns/EXVRGpyYFpVZ66TqCeLJ+uXbVoy+vYiMVO3c7O8NQ9/etgQevWzkfrNeWecbDYTx7SG835t+NLKaqmNqyHS0OAXoIoo3XKq448TwNxmk44Fo1fKomIeRRUPzF8PKpcOXMRCCM8BgNLPSr46CqdvA1q8bGdj6e9ODc9LA8/DLIwljyAAD0fa3HQNb7xFuFsaSC87aSnMsXS1UvywydtXOzU3PhhK2KZ+FJ1OCM8Bzv09fnsWkyWE4q5J2g1SALqJ1PemTJdz1wVAvk6x3sc5o6kKvHjxHBOcqfBN0Hww2ODzX3t8Lf7ikdnDeYjBl0Qb4yetg5+Ph0Uvr76v48EUjbzySrTRL2NVCpPDSGltaZ7hmDW4YPiHMRBrcBHNeV9pukArQeUvmJPt7YeOalIZLhBOgEozSctkTxZ8Pd6WVXPvk2dlyzlkMbhgqZq+k/bZjhwJotZx1fy+s+GzK6yXulEvY1UKk8FIH89kY3YSnzHs+Ufb8cjivS9oNUgE6T8mi2J2WxHKWAyO3981DwSgtN9kId30wBOuJCM7VDPbDHy6CmTtXL5pe1xPqlQYT3SgWfGL4yahRv0SaL62x5Z5fDsXbjdI5E+bsOTwNJQnMFQrQeUkrik3mLOMmTQknAEDP9+G3n2lOOq0DGAxBOvM+U+Elh8If6xi87b4zoxO7P71oOi3wTpoGL0/UyWvUL5F8pOViJ88OJWT16pwJc/aBv/y8+jY+UPob78JMltF26s4BTwoNLq55MfzyvUADc7RxPhj6HqaZuyh9+W6nwV9/B/Y4F2wy2JT07YYZYMTPMT4hRSXwdkwPJ33H9NDiPC3wdi2Gg1bCW5aHvy08Fq9IS0lODtO1GA7+I2z1ouHnbq28oQ/A3l8LN/tJnTPDa7TBjbdy0HmoVp86Gne4858bUNQ8idQGXVvedwB2PHhkn0SbCk//KuXlpg01LHv1h2Gno0KQfe4xuP2Y0N2i6nttHv48WTRdTz1TCYu7RFrStLkwbQdYtHJkj5NKKdeW6r1YqdfmPuicBptiddids2Dh1+BF72qL81sBOg/V6lNH4xvS7ybHbRLsdHSif6KxpUzbN8HjN4T39g3DN0lrALLgk8NPnEqgnNHFqOXkk6bAXl+NBj0ZpWhagVekNcXP3bSb7decMbLBbLJayze3TXAGFXHnI3V4yRps8vAAOVE6psIuJ8K774d9L4f9vheKoeImTQ7F1vEiqr2+MjLH2zG9+mAq8SLqzllRN7IO6NgqKq6+POyrommR9pAsDk97nqzWaoNi7TjloPOQbMg0sAHcwEfJUTeqFXWlocW0uUMDiKS1gt7lA+GRbABST2Os5F0zjCyuVg5ZRCpK2n0qKwXovMR/eJ0zYdleoZ1UUsf0qJP/pKFRv0ZjU8Az5s5t8siGVrVaQY93CsZkAG6zE05E6tTGN+0K0HmK//AqQdE6QlDc9UPwsn+IGkpEAbyWjumh7+Fd/1y9CN2mwN7nw2Pbwbv+XL0VtBpjiYjkSgG6KGoFxWSuNt7qcWDj8FmkKkXPNims80HonB6KsyuDf/ypW4FXRKTAFKDzlBzWcrSgmKXVY7VtoW3rcEREWpUCdF4mYsal0QK66npFRFqaulnlIT7M56a14e/tS8JyERERFKDzUZlxKS4+rKWIiLQ9Beg8aMYlERGpQQE6DxohR0REalAjsby0+Qg5IiIyOgXoPKmvsYiIVKEibhERkQJSgBYRESkgBWgREZECUoAWEREpIAVoERGRAlKAFhERKSAFaBERkQJSgBYRESkgBWgREZECUoAWEREpIAVoERGRAlKAFhERKSBz97zTUEhm1guszDsdDbQt8FTeiSgoHZvqdGyq07GprizHZr67N22GIwXoNmVmd7r7wrzTUUQ6NtXp2FSnY1Odjs3YqIhbRESkgBSgRURECkgBun1dnHcCCkzHpjodm+p0bKrTsRkD1UGLiIgUkHLQIiIiBaQALSIiUkAK0FKVmc0zs1+a2c1mdqOZ7ZB3morCzF5gZr82sz4z2y3v9ORJx6I6nUPVmVmXmfWaWXf0aFr/4lahAC2jeQr4a3d/M3AFsCTn9BTJeuDdwA/zTkgB6FhUp3NodDe7+6Lo0Zt3YopGAVqqcvcBdx+Mns4CVuSZniJx9026oAQ6FtXpHKppPzP7XzM7x8ws78QUjQJ0SZjZKWZ2p5ltMLPLE+vmmNk1ZrbOzFaa2fvqeN09zOx24BTg7glOdlM06tiUjY5TdeM5NmU4h0YzjmPzBPBy4E3AdsAhzUt1a+jMOwEyYR4HzgbeAUxPrDsf2AjMA/YAfmxm97r7CjPbHrgq5fWOcPdV7v4bYB8zOxz4OHBig9LfSA05Ng1Mb17GdJyamsL8jPnYlOQcGs2Yjo27bwA2AJjZ1cC+wH81K9GtQAG6JNz9agAzWwjsWFluZjOAQ4Hd3L0PuMXMrgP+HvhYFGgWpb2mmU1x943R07WEusaW04hjU0ZjPU55pLXZxnpsynIOjWYcx2aWuz8Xbf5G4IHmprz4FKDL7xXAZnd/KLbsXuDNGfbdw8y+CAwA/cCxDUhfnsZzbDCz/ybkCl5pZhe5++UTnsJiqHmc2uhYJNU6NmU/h0ZT69j8tZmdTbhpeQw4vcnpKzwF6PKbCTybWLaW0GBlVO7+a0L9UFmN+dgAuPu7JjxFxVTzOLXRsUga9di0wTk0mlrH5ifAT5qdqFaiRmLl1wfMTiybDTyXsm270bHJRsepOh2b6nRsxkkBuvweAjrNbJfYst1Rdw/QsclKx6k6HZvqdGzGSQG6JMys08ymAR1Ah5lNM7NOd18HXA18xsxmmNl+wEHAt/NMbzPp2GSj41Sdjk11OjYN5O56lOABnAl44nFmtG4O8CNgHfBH4H15p1fHpngPHScdGx2bYj003aSIiEgBqYhbRESkgBSgRURECkgBWkREpIAUoEVERApIAVpERKSAFKBFREQKSAFaRESkgBSgRURECkgBWiRHZjbPzL5iZo+Y2QYz+7OZ/cTM2nV2KBGJaLpJkZyYWRdwK2F2n48T5sqdBBwAfB14aW6JE5HcKQctkp8Lor8L3f377v57d3/A3c8DXgtgZh57PGdm3Wa2W+UFLPholAN/3sx+a2ZHxtb7KI+jY9scFttnSbTsvNiynmjZPon3fiRavjC2/E1mdruZ9ZvZk2b2ZTObktjvX83s4ajU4E9m9rmxplekrJSDFsmBmc0BDgROc/e+5Hp3fyb29HjgBmAucBHwn8Bbo3VnA4cB/wj8HngDcImZrXH3HwM7xF7nCeBQ4JfR87Up6ZoBnEWYyzfpz8AJwO3R87cBUxP7vxj4CWHGoqOBnYFvAIPAv0abnQOcBJwK/CL6XK+L1tWVXpEyU4AWycfLAQMeyLDtM+6+ysz6CEFqHWwJpqcCb3f3/422fczMXk8I2D9291WVFzEzgNXxZSk+AtxP+rXhSuAEMzvV3dcCHyAE30/FtjkZeBw42d0HgQfM7GPARWZ2OqHU7kPAv7j7ZdE+fwB+BTCG9IqUloq4RfJhdWz77Vhw3gn4l2j5q4FpwDIz66s8CLnTnetOkNmLCAH/X6ts8hSwDDjSzHYA3gh8L7HNq4DbouBccQswhXBT8mpCrvvn9aYv4dvR511lZj81s9fV3kWktShAi+TjYcK8ua/KsO1HgD2AvYEHge9Gyyvn73ui9ZXHAuDtY0jTWcAP3f3eUba5iJBzPha4Cni+jtefyLltK8fkXcAG4LoJfG2RQlARt0gO3H21mf0UOMXMvpqshzazF8bqoVe5+x+i5V8GbjKzbQlF0RuA+e5+4ziT9Frg74Bda6T7ZjObDPwbob476QHgcDObFMtF/zWwEXgE6IjSfADhJmWs4sfkS0C3mW3r7k+N4zVFCkUBWiQ//0joZnVnVD97H6Hoe39Ct6tKN6sXmtn2wGxC7rWXUDc7aGZfBL5oocL2F8BMYF9g0N0vriMtpwJfcvfHM2x7MrCru6+IuorFXUAogr/AzL5CKJL/d+A8d18PEC3/nJltiNK8DbCXu19YR3onm9k0wjE5ClgFPF3H/iKFpwAtkhN3f9TM9gQ+AXweeDEhyNxLaC1dcUn0ty9ad1Asd3o68CTwYeBC4FngN8AX6kzOc1n3cfebgJuqrPuzmb0TODdKxzOEIvlPxDb7OLAmSvuOUfqvqDO9lWL+yjH5W3efyCJ0kdyZftMiIiLFo0ZiIiIiBaQALSIiUkAK0CIiIgWkAC0iIlJACtAiIiIFpAAtIiJSQArQIiIiBaQALSIiUkAK0CIiIgX0/wG5YEQ2AiLvTAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "create_scatter_plot(\n",
    "    x='luminosity',\n",
    "    y='temp',\n",
    "    xname='Светимость',\n",
    "    yname='Температура',\n",
    "    color='orange',\n",
    "    logx=True\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "33f92d35",
   "metadata": {},
   "source": [
    "На графике можно заметить разделение объектов на 3 части: 1) температура находится в районе 10^(-3) и менее, а разброс светимости - от 7 500 до 25 000; 2) начинается слева снизу и идет по впуклой парабале направо наверх; 3) Температура превышает 10^(5), а диапазон светимости - от 4000 до 40 000.\n",
    "\n",
    "Ввиду этого прослеживается некая связь между светимостью и температурой, однако, вероятно, это зависит и от других параметров, учитывая разделение графика на 3 части."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9bca2341",
   "metadata": {},
   "source": [
    "<a name='t_t_ratio'></a>\n",
    "#### 2. 3. 2. Корреляция типа звезды и температуры\n",
    "[Введение](#introduction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c35aaed0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "create_scatter_plot(\n",
    "    x='type', \n",
    "    y='temp',\n",
    "    xname='Тип',\n",
    "    yname='Температура',\n",
    "    color='blue'\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d8bd02b4",
   "metadata": {},
   "source": [
    "Согласно графику для типов звезд 0 и 1 температура менее 5 000 Кельвинов. Для второго типа она находится в диапазоне от 7 500 до 25 000 Кельвинов, а для остальных типов варьируется в диапазоне от менее 5 000 Кельвинов и до 40 000. Тем не менее, по крайне мере для первых трех типов звезд: \"Коричневых\", \"Красных\" и \"Белых\" карликов - видна корреляция между их типом и температурой."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "813ba52d",
   "metadata": {},
   "source": [
    "<a name='c_t_ratio'></a>\n",
    "#### 2. 3. 3. Корреляция между цветом звезды и температурой\n",
    "[Введение](#introduction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "7c2cbfec",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAd8AAAH7CAYAAACNPZV4AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAABus0lEQVR4nO3deXxcdfX/8ddJ0iVtKWUJFSk0gFQKRShFVBSlgqgosqrUDaSCUCv6Q9xByiIuICAgQrFQFCm4sIkLCLaiqF8oVCi0WAVbFkFSNkmbLknO74/PZ5o706SdNDP33mTez8djHpn53HsnZ7Z77v1s19wdERERSU9d1gGIiIjUGiVfERGRlCn5ioiIpEzJV0REJGVKviIiIilT8hUREUmZkm8fmdlxZuZm9rqS8noz+6WZdZjZMVnFJwJgZgfE72lz4TtbsnypmV3Xw7bnlq6fBTObZ2az4/2lZjYji/8X38eN3ZZWMzbpm24+z+PSjqEh7X9YC8zMgNnAEcCn3P2GbCMSkQp6S8njm4GHgBmJstWpRSP9kpJvdVwOfAw4xd2vzjoYEakcd/9b8rGZrQaWl5aLbIiqnSvMzM4HTgK+5u6XdrN8WzP7sZktN7PVZvawmX2sZJ1CVfbbzewWM2s1sxfM7Adm1phYrzmuN83MLjSz581spZndbmbN3fzvE83sITNbFf//LDPbspv1ZvRQlTajZL0vmNni+D+T6x2UWKfb6sxYpffnkrL1qhLN7Iz4nLNLyt9nZn81s5dL/ve5pf+rh9f2hJnVlSy7Mi4rjavJzK4ws2fiZ/aYmZ1Yss5JZrbGzN6dKOuuevcaM3vOzHYuKf9UD+/5dYl1fmVmC7p5TTuaWaeZnbSh115J3XxHXjKzu8xs75L1Gszsq/E9W21m/zGz75nZ0Li8uYfXnbwdsIkxdvf+b2FmLfF5mzfx5fc2jneY2d1m9qqZrTCzO8xsQsk687r7nsdli0u/2xv4jRZupc1gG/3tx+2+aWZfN7OnzazNzO4xs71K1jvYzH5jZs/G3/4jcV9Qn1hn6Ubim2FmR8X7e3bzmueZ2d8SjysWW17ozLeCzOwbwGnAZe7+rW6WDwf+CGwBfA14inCG/BMzG+buM0s2uQ74GeFMel/gG8Bw4LiS9b4K/B34JLANcB5wp5nt7u5r4//+NvAF4BLgi8B2wLnABDPbz907unlJyeq1v5a8lo8CF8TYfgG0AXsDP+jmeTaJmY2Nr62jpHxH4CbgXuAjwIvdxbgRmwPvBn4bn3Mk8NHEc5Eo/zPQSKhW/Hfc7odmNqRwgOXuV5jZtsAvzewAd5/fzev5FnAU8A53f7yHuI4Eno33by5Z9kPg12a2r7vflyg/EVgB/LSnF+vu8wCLD2fHWyUUviM7AN+K8W3n7p2x/DrgUOA7wF+A8cA5QDPhvXiW4u/ZGcC2wLRE2aL4Gg4oFLh78ybG+03C72+jKvH/zOx9wK3Arwm/dYAvA38ysze4+1OJ1V8EPmxmp7r7i3H7dxJ+0z15G8W/j/cBp5fE0Jvf/ieAJ4HpwBDgbOBuM9ulEBOwE3A3cCmwCtiH8NtoAr4S1zkibp+MKfk5Pw08B/wH+DSJz9vMdgXeQdifJVUqtqLP090Lv4t0ubtufbgREqETko4TPvC/AXXdrDs9rnNASfldwPNAfclzXlGy3tcJP7Rx8XFzXG9R8v8Bb43lUxPrdQDfKHm+wnqHl5SfB7SXlDkwI/H4MuCVknUOiOsdlChbClzXzXsxD/hzSdnSkv9xM/AgcA8wO1F+dPw/e3cT47kb+bxmxPW+B9yWKP8M8EBpXIRksArYpeR5rgKWAw0l5VfEz3KXwucYy08htAMe2ENc02Jc2/f03hFqqh4HZiXKBhF2Ylds6HWX8T3u9nOKy84tvI7S97Gk7JT4GraNj/ePjz9Rst5HY/le3fyv2cC8Sv42E4/3jr+D78f/31yh/7Oh9+5fwN0lZSPjd+fi0t8D8H/AqYnyn8fvatF3O/E9Lv3+HRfLXxcfN1Pmbz8+Xg4MT5Q1A2uBc3p4fUY4ifs68BLd7/eKPoduvkevlPzPC+NzNVY7tixvqnaunGnANcBhwJuA/9fNOm8HnvFwFpJ0HeHIbLeS8p+VPL6BsAPet6T8F951poG730s4siwcab4rbvfTWA3YYGYNhB/6qzGupEZCwtmQJ4CRZna8mY2Iz1exqh0zew/hvZwGdJYsfiL+PcHMtkm8nt64Enivme0QH59ESJyl3kN4n/5d8t7dAWzF+p/ZZwg7hN8Bo+Nr+TBwMXCpu9/dQzwj4t+VPQUcP+MrgWPMbPNYfHj8P1f2tF01Jd6THYEPAouB/8bF7wHWAL8oee/ujMtLv3fVjNMIB8h3sn6NQrX+5y7Azqz/u1tJqKXp7vX/EDjJgm0Jv4G+fLa9/e3/xt1XFB64+1LCycS6s1YLTWdXmtkywue7lnCANooNn6V3ZyYwDJgSn3socCzwY3dvyzi2qlLyrZyfASe4+x2EJHxOabsLsCVdVYpJzyWWJ/23h8fbbWS9QllhvcKX7l+EL2PythkhiSRtBbzQzXMmXQ5cS9hZvBqf666NbFMWMxtCqDaa7d10YnH3BwnV+x8mvM7Ca+mNJwjxnmhm+xOqTa/vZr1tCDuo0vft53F56Xv3SWBrQhXi2bHsx4Qq1+PN7DU9xPNawpnxiz0sL5hFOMj5eHx8EnCfu6/XFpySwvvxBLAjcFziQHAbYDChSjz53j0fl5e+d9X0SWAi4ew8LYXf3SzW//68n+5f/42E78+BwKeAe9x9SQViKPe3v8F9iYV+ErfF+M8F3gm8kVCdDzC0N8G5+38I1fKF/gofJOwHuzvgSDW2alObb+V83bvaTk4lHPX/yMwme6wDIexYX9/Ntq9JLE8aDTxa8hjgmW7WKzWa0A4MXYn0YEL1S6nSRLsLoXqzR+6+ysymArsSksYXgEl0f/bYW6cRdkBf3sD//148MziW0L60Cri/l//nh4Qf+euBn7j7inCCVOQFQrL4XA/P8Y/CHTN7LaEd/FzCwcM9wB7AdwntnAsIZ19HdfM8ewCLEt+Vbrn7C2b2M+DTZnYHMJmwk87KG+PfEYTP4g9m9kZ3X0x471YRqp+7858U4sPMRgHfBi5w93+aWenBa7UUfldfpfsD0zWlBe7eZqHT1XRCNfmpFYqh3N9+T/uSwj5nZ0I76sfdPdkZ8NA+xHg5oe12EqH990/uvqiHONKOrWqUfKvA3V82s5OBWwhHdD+Mi/4IfNDM3hqrhgs+QtjBl37hPgT8IfH4GEIV7P+VrHe0mc0onHGY2VuBMXR1QPp93G4Hd//9hmKPCWRvQueZjfkysDvwBnf/t5mN2NgGZdiBcEb7JXdv2UCcbyNU7X/Y3f8cy3r7v35N2AEeTUh+3fkd8FngSXd/vod1Ci4HlgHfdve1ZnYhcI27nxHjmwrca2ZHu/svEq9lFKEN7oIy476c8Nn+iNBeltk4ck90LLPQE/s4QgerxYT37svA5huobk/DuYSq3vNS/r//ILQH7+7u3+7FdlcAjxFqxG7pYwxl//ajQ8xseKF610KP8DcTDl4gVBFDoqbJzAYR2vE3ibv/wcweI7T1vnUDz5V6bNWk5Fsl7n6rmd0AfMfMbvfQq3E24QzqJjP7OqFd9qOEdplP+/o9jg+xMHTpTkI775mEtpB/lqy3GXCLmV1JaDv+FvBPQnUn7v64mX0HuMzMXk84CFgFbB//94/cfa6ZfZDQo7qN0KGoRxaGB5wJTHf3f2/k7RgZezAmDQPqzWxnL+75+wngYboOWLr73yMIVd43JJNYb7l7h5kdAmzl7o/0sNpFhIOBP5nZRYQd6nDCGf/+7n5YjOnDhOquN3vsYd7N//ubmV1K+BzudveXLAw5uoBQPbvAzN6c2GQIsLWZ7ZY8E4jPs4BQHX6pu/fYTtxLO5jZ0d2U7woQl93v7ssKCxLxjiB8dhAmnMDd55nZHEKb74XAfYRE0AwcAny5j1Wq5ToJ+GAF36eyuLub2WeAW81sMKFpajnhbG0/wgHdhd1st8TM3k7o0NjexxjK+u0nNmkjjJQ4n/D9Owv4H+F3AOGgahnwTTPrICS67vq39NYPCR3hlgO/7GGdrGKrjqx7fPX3GyW9C0uWNQEtwG8TZdsCPyF8yVYTEs3HenjOtxPaQ1oJVdI/oLgHYHNcbxrhqLGFcIT/a2DHbuL5OKGDwor4nIsJvZbHxOUPEb74u3Wz7brezoRE8RChA0RynQPovrezb+C2tGTdTuAtJc87j+LezlcQqpq26CbGcns7N/SwfB7r98LegvAD/zfhTPl54E/A5+PyrQhtT+d39zmWlA2PzzM7Pp69kffH6ab3L6Eq0wlnVZX4Hm/scyrcjit5Hwu3VkIzx/Elz1tHOOB8iLDTfyXe/y7hjLg0jtndvd4+/jZ/18P3tLmC7123vZ3j8rcAtxOqfVfF9W9Ifs+7+95t6Lvd0/eYHvZHbOS3n/gf3yQMg3w6xvonSnqlA3sRemavjOudTWj66PY97e530M0628btz9/A6694bFneLAYsOWJhntFrCMNb/rWB9ZoJO/IT3P1H6URXObHq+Drf9DGb/V5s31vq7jN6WP4xwhSlB5SU3wt0untP7akVZ2HCik+6++y0/qekJ36+33T30ze6cuX/9wmE/hfjutvnZRlbtajaWbK0ko107KoBj9N9D/iCFmJfgNgLfG/gIEK15WFVj06kisxsN0JHqbOAWzZ0sjHQKPlKZjwMGTow6ziy5O7nbGT5HYQxxRCq5v4CvAyc5+63VTe69fySUGUqUimXEw4k/0Lo4V0zVO0sIiKSMk2yISIikjIlXxERkZSpzbcHW2+9tTc3N/f5eVasWMHw4cP7HlAVKLZNl+f48hwb5Du+PMcG+Y4vz7FBZeJ74IEHlrt7U0UCynqsU15vkyZN8kqYO3duRZ6nGhTbpstzfHmOzT3f8eU5Nvd8x5fn2NwrEx8w3yuUY1TtLCIikjIlXxERkZQp+YqIiKRMyVdERCRlSr4iIiIpU/IVERFJmZKviIhIypR8RUREUqbkKyIikjIlXxERkZQp+YqIiKQsk+RrZruY2Sozuy5R9hEzW2ZmK8zsFjPbMrFsSzO7OS5bZmYfKXm+Td5WREQkbVmd+f4AuL/wwMx2B64EPg6MBlYCl5esvyYu+yjww7hNn7YVkXS1rGhh5dqVtKxoyToUkUylnnzN7BjgZeDuRPFHgV+5+z3u3gqcARxpZpuZ2XDgKOAMd2919z8DtxGSbV+3FZGUzFk4h7EXj2XJC0sYe/FY5jwyJ+uQRDKTavI1s5HA2cCpJYt2Bx4qPHD3xwlnq+Pird3dlyTWfyhu09dtRSQFLStamHrbVNra2+jwDtra25h661SdAUvNakj5/50DzHL3p80sWT4CeKVk3VeAzYAO4H89LOvrtkXM7ETgRIDRo0czb968Db+aMrS2tlbkeapBsW26PMeXx9hWrl3JeTufR4d3MGbIGC4YdwH1Vs/9f7mfYYOGZR3eOnl875LyHF+eY4P8xZda8jWzvYCDgIndLG4FRpaUjQReBTo3sKyv2xZx95nATIB99tnHDzjggG5fS2/MmzePSjxPNSi2TZfn+PIYW8uKFo6++Gja2tu4YNwFnLbkNBobGll26DKahjdlHd46eXzvkvIcX55jg/zFl2a18wFAM/CkmT0HnAYcZWYPAo8CexZWNLOdgCHAknhrMLNdEs+1Z9yGPm4rIiloGt7ErMNm0djQSL3V09jQyKzDZuUq8YqkKc1q55nADYnHpxGS8cnANsBfzWx/4EFCu/BN7v4qgJndBJxtZp8C9gIOA/aLz/PTPmwrIimZMmEKB+14EPf/5f7cnfGKpC21M193X+nuzxVuhOriVe7e4u6PAicREunzhDbZaYnNpwGNcdkc4OS4DX3ZVkTS1TS8iWGDhinxSs1Lu8PVOu4+o+Tx9cD1Paz7InD4Bp5rk7cVERFJm6aXFJHUaJINkUDJV0RSMWfhHHa4aAf+8cI/2OGiHTTJhtQ0JV8RqbqWFS0ce/OxrOpYRad3sqpjFcfedKzOgKVmKfmKSNUteHYBa31tUdlaX8uCZxdkFJFItpR8RUREUqbkKyJVN3HbiQyuH1xUNrh+MBO37W7CO5GBT8lXRKquaXgTsw+fTWNDI3VWR2NDI7MPn63xvlKzMhvnKyK1ZcqEKew1ei8WzV/EAyc+wPim8VmHJJIZnfmKSCrmLJzDpJmTeOqVp5g0c5KGGklNU/IVkarT9XxFiin5ikjVLX156XodrgbVD2Lpy0uzCUgkY0q+IlJ1zaOaWblmZVFZ25o2mkc1ZxOQSMaUfEUkFY4XPzbvYU2RgU/JV0SqbsGzC2j39qKy9s52zXAlNUvJV0REJGVKviJSdRO3ncggG1RUNsgGaYYrqVlKviJSdU3Dm7j2yGsZWj+UOqtjaP1Qrj3yWs1wJTVLM1yJSCqmTJjCQTsexP1/uZ8nD31SiVdqms58RSQ1TcObGDZomBKv1DwlXxERkZQp+YqIiKRMyVdERCRlSr4iIiIpU/IVERFJmZKviIhIypR8RUREUqbkKyKpaVnRwsq1K2lZ0ZJ1KCKZUvIVkVTMWTiHsRePZckLSxh78VjmPDIn65BEMqPkKyJV17Kiham3TaWtvY0O76CtvY2pt07VGbDULCVfEam6pS8vZXD94KKyQfWDWPry0mwCEsmYkq+IVF3zqGbWdKwpKlvbsZbmUc3ZBCSSMSVfEam6puFNzDpsFo0NjdRbPY0Njcw6bJYusCA1S5cUFJFUJC8puOzQZUq8UtN05isiqdElBUUCJV8REZGUKfmKiIikLNXka2bXmdmzZvY/M1tiZp+K5c1m5mbWmridkdhuiJldHbd7zsxOLXneA83sMTNbaWZzzWxsuduKiIikLe0OV98Cprr7ajPbFZhnZguAF+LyUe7e3s12M4BdgLHAa4C5ZrbI3X9nZlsDNwGfAn4FnAPcCLx5Y9tW4wWKiIhsTKpnvu7+qLuvLjyMt53L2PRY4Bx3f8ndFwNXAcfFZUcCj7r7z919FSHZ7hmT+8a2FRERSZ25e7r/0OxyQvJrBBYAbwe2Bv4N/IeQkH8PfNHdl5vZFsCLwGvc/b/xOY4GznT3Pczs+8Bgdz858T8eAc4E/rChbbuJ7UTgRIDRo0dPuuGGG/r8eltbWxkxYkSfn6caFNumy3N8eY4N8h1fnmODfMeX59igMvFNnjz5AXffpyIBuXvqN6AeeBtwOjAIGAHsQ6gGHw38Argjrrs9ISEPTWz/LmBpvD8L+HbJ899LSPAb3HZDt0mTJnklzJ07tyLPUw2KbdPlOb48x+ae7/jyHJt7vuPLc2zulYkPmO8VyoOZ9HZ29w53/zMwBjjZ3Vvdfb67t3s4Q50OHGxmmwGtcbORiacYCbwa77eWLEsu39i2IiIiqct6qFED3bf5FurC69z9JeBZYM/E8j2BR+P9R5PLzGx4fM5Hy9hWREQkdaklXzPbxsyOMbMRZlZvZu8GpgB3m9mbzOz1ZlZnZlsBlwDz3P2VuPmPgdPNbIvYkeoEYHZcdjMwwcyOMrOhwDeAh939sTK2FRERSV2aZ74OnAw8DbwEXAB83t1vA3YCfkeoDn4EWE1IzAVnAo8Dy4A/Aud7HCrk7i3AUcA34/O+CTimnG1FJF0tK1pYuXalruMrNS+15OvuLe7+Dncf5e4j3X0Pd78qLpvj7ju6+3B339bdP+HuzyW2Xe3ux8ftRrv7hSXPfZe77+ruje5+gLsvLXdbEUnHnIVzGHvxWJa8sISxF49lziNzsg5JJDNZt/mKSA1oWdHC1Num0tbeRod30NbextRbp+oMWGqWkq+IVN3Sl5cyuH5wUdmg+kEsfXlpNgGJZEzJV0SqrnlUM2s61hSVre1YS/Oo5mwCEsmYkq+IVF3T8CamTpxaVDZ176m6rq/ULCVfEam6lhUtzFowq6hs1oOz1OYrNUvJV0SqTm2+IsWUfEWk6ppHNbNyzcqisrY1bWrzlZql5CsiqXDzDT4WqSVKviJSdQueXUB7Z3tRWXtnOwueXZBRRCLZUvIVERFJmZKviFTdxG0nMsgGFZUNskFM3HZiRhGJZEvJV0Sqrml4E9ceeS1D64dSZ3UMrR/KtUdeq3G+UrMasg5ARGrDlAlTOGjHg7j/L/fz5KFPKvFKTdOZr4iISMqUfEUkFYVLCv7jhX/okoJS85R8RaTqWla0cNytx9HW3kand9LW3sZxtxyn6SWlZin5ikjVLXh2wXpXNVrTsUbjfKVmKfmKiIikTMlXRKpO43xFiin5ikjVaZyvSDGN8xWRVGicr0gXnfmKSGqahjcxbNAwJV6peUq+IiIiKVPyFRERSZmSr4iISMqUfEVERFKm5CsiIpIyJV8REZGUKfmKSGpaVrSwcu1KXVBBap6Sr4ikonBJwSUvLNElBaXmKfmKSNW1rGhh6m1TaWtvo8M7aGtvY+qtU3UGLDVLyVdEqm7py0sZXD+4qGxQ/SCWvrw0m4BEMqbkKyJV1zyqeb3r+a7tWEvzqOZsAhLJmJKviFRd0/AmZh02i8aGRuqtnsaGRmYdNktzPEvN0lWNRCQVyasaLTt0mRKv1LRUz3zN7Doze9bM/mdmS8zsU4llB5rZY2a20szmmtnYxLIhZnZ13O45Mzu15Hk3eVsRSY+uaiQSpF3t/C2g2d1HAh8AzjWzSWa2NXATcAawJTAfuDGx3QxgF2AsMBn4kpm9B6Av29YyjbcUEclOqsnX3R9199WFh/G2M3Ak8Ki7/9zdVxES5p5mtmtc91jgHHd/yd0XA1cBx8Vlfdm2Jmm8pYhItlLvcGVml5vZSuAx4FngN8DuwEOFddx9BfA4sLuZbQFsm1we7+8e7/dl25qj8ZYiItkzd0//n5rVA28BDgC+A1wBtLj7VxLr3Es4S70beBJojGe2mNm7gKvcvdnMZm3qtt3EdSJwIsDo0aMn3XDDDX1+ra2trYwYMaLPz1MpK9euZMkLS+jwDsYMGcPTq5+m3uoZt9U4hg0alnV46+TtfSuV5/jyHBvkO748xwb5ji/PsUFl4ps8efID7r5PJeLJpLezu3cAfzazjwEnA63AyJLVRgKvxmWFx6tKltHHbUvjmgnMBNhnn338gAMO6M3L6ta8efOoxPNUSsuKFo6++Gja2tu4YNwFnLbkNBobGnPX+zRv71upPMeX59gg3/HlOTbId3x5jg3yF1/W43wbCG2+jwJ7FgrNbHih3N1fIlRP75nYbs+4DX3ctuY0DW9i6t5Ti8qm7j01V4lXRGSgSy35mtk2ZnaMmY0ws3ozezcwhVA1fDMwwcyOMrOhwDeAh939sbj5j4HTzWyL2JHqBGB2XNaXbWtOy4oWZj04q6hs1oOz1OYrIpKiNM98nVDF/DTwEnAB8Hl3v83dW4CjgG/GZW8CjklseyahE9Uy4I/A+e7+O4C+bFuLNMeuiEj2UmvzjUnyHRtYfhewaw/LVgPHx1tFt601mmNXRCR7Wbf5Sso0x66ISPY0t3MN0hy7IiLZ0plvjdIcuyIi2VHyrVGa21lEJDtKvjVIczuLiGRLybfGaG5nEZHsKfnWGI3zFRHJnpJvjdE4XxGR7Cn51hiN8xURyZ7G+dYgjfMVEcmWznxrlMb5iohkR8m3Rmmcr4hIdpR8a5DG+YqIZEvJt8ZonK+ISPaUfGuMxvmKiGRPybfGaJyviEj2lHxrjMb5iohkT+N8a5DG+YqIZEtnvjVK43xFRLKj5CsiIpIyJV8REZGUKfmKiIikTMlXREQkZUq+IiIiKVPyFZHU6IIeIoGSr4ikQhf0EOmi5FujdAYiadIFPUSKKfnWIJ2BSNp0QQ+RYkq+NUZnIJKF5lHNrFyzsqisbU2bLughNUvJt8boDESyYnW2wccitaTsCyuY2WRgCrADULT3dvd3VjguqRJdUlCysPTlpTQ2NBZ994Y2DGXpy0s1v7jUpLLOfM3sOOC3wGbAAUALsAWwN7CoSrFJFeiSgpIFHfSJFCu32vk0YLq7TwHWAl9194nAdUBrtYKT6pgyYQrLPr+McVuNY9nnlzFlwpSsQ5IBTgd9IsXKrXbeCbgr3l8NjIj3LwPmAV+pbFhSbbqkoKRtyoQp7DV6LxbNX8QDJz7A+KbxWYckkplyz3xfIFQ5AzwDTIj3twIaKx2UiAw8cxbOYdLMSTz1ylNMmjlJQ9ykppWbfP8EHBzv/wy4xMyuAeYAv69GYCIycGiIm0ixcpPvdEKiBfgWcD7hrPdnwKfKeQIzG2Jms8xsmZm9amZ/N7P3xmXNZuZm1pq4nVGy7dVm9j8ze87MTi157gPN7DEzW2lmc81sbLnb1qrFLYt5oe0FFrcszjoUqQEa4iZSrKzk6+4vuvt/4v1Od/+Ou3/A3U9z95fL/F8NwFPAO4DNgdOBn5lZc2KdUe4+It7OSZTPAHYBxgKTgS+Z2XsAzGxr4CbgDGBLYD5wYznb1qrP/uaz7Hb5bix9eSm7Xb4bn/3tZ7MOSQY49XYWKVb2JBtmNtTMjjezC+LteDMru73X3Ve4+wx3XxoT+O3Av4FJZWx+LHCOu7/k7ouBq4Dj4rIjgUfd/efuvoqQbPc0s13L2LbmLG5ZzGX3X1ZUdtl9l+kMWKpKvZ1Fipm7b3wls72BXwHDgIWxeAKh5/P73P3BXv9js9HAMmAvYBUhEf8HcEI78hfdfbmZbQG8CLzG3f8btz0aONPd9zCz7wOD3f3kxHM/ApwJ/GFD23YT04nAiQCjR4+edMMNN/T2Za2ntbWVESNGbHzFlLzQ9sK6qr4xQ8bw9OqngXBmslXjVhlGVixv71upPMeX59jaO9tZuWIlw4YPo6Gu7Dl+UpPn9w7yHV+eY4PKxDd58uQH3H2figTk7hu9EapyfwYMT5QNJ1Tvzi/nOUqebxBh6NKV8fEIYB9C1fRo4BfAHXHZ9oSEPDSx/buApfH+LODbJc9/L+HsdoPbbug2adIkr4S5c+dW5HkqZdHzi5wZODPwC66/YN39Rc8vyjq0Inl730rlOb48x/Z86/P+6zt/7c+3Pp91KN3K83vnnu/48hybe2Xi25R819Ot3Grn3YEZ7r4ikbRXAGfHZWUzszrgJ8AaQkcu3L3V3ee7e7uHM9TpwMFmthldk3iMTDzNSODVeL+1ZFly+ca2rTnjm8Yzfd/pRWXT952uMZdSdbqalkiXcpPvY8BruynfFlhS7j8zMyOcqY4GjnL3tT2sWqgLr3P3l4BngT0Ty/cEHo33H00uM7PhwM6EduCNbVuT9huzH0MbhlJndQxtGMp+2++XdUgywGmokUixcpPv6YSxvcfEYUHNZnYMcDHwdTPbsnDbyPP8EBgPHOrubYVCM3uTmb3ezOrMbCvgEmCeu78SV/kxcLqZbRE7Up0AzI7LbgYmmNlRZjYU+AbwsLs/Vsa2NaewE1zVvopO72RV+yrtBKXqlr68tOuQOnJ3DTWSmlVuj4dfxb/X0/UTKlwP7NbEYwfqu3uCOPb204ROWs+Fk2CIZZ3AecA2wP8IHa6SEw6fSUjcy4A24Dvu/jsAd28xs6MIU11eB/wfcEw529aiwnjLtvZ1xz7rxluq56lUy4jBI2jraCsqW9WxihGD89tBR6Sayk2+72S949becfdldCXs7vTYAOTuq4Hj46275XcBu/awbIPb1hpd1Fyy0LqmlcaGxqKDvsaGRlrX6LosUpvKTb5/dvf2qkYiqbE6g46SxyJV1DyqmfaO4l1Ie0e7DvqkZpXb5vtsnFhDXWL7ucJFzZMKFzUXqabSgzwd9EktKzf5fg3YD3jUzP5qZlPNTI01/ZCm+ZMs6KBPpFi5cztf5e77Ecb0/hk4l3A2fLWZvbWaAUplaZo/yYL6GogUK3tuZwB3X+zuXwTGEM6GPwLcE68odFKcQENybsqEKSz7/DLGbTWOZZ9fxpQJUza+kUgfqdpZpEuvkqWZDY7je38LXAT8jTCN4zWEqwpdX+kApTqahjcxbNAwnfFKKlTtLFKsrN7O8cIKxxPG3q4lTFwx3d2XJNa5nTAHtIhIEVU7ixQrd6jR/cCdhCv+3NrDsKOlQN8vAyQiA5KGuIl0KTf57hQnyehRvNDCJ/sekogMNIVq52RP+0K1s5o+pBaV2+Y7N865LCLSa82jmtebzWrFmhWqdpaaVW7ybaaHOZtFRDZm+crldHhHUVmHd7B85fKMIhLJVm96O/dpbmcRqV13PXFXr8pFBrpy23wBbjazNd0tcPd3VigeERmARg8f3atykYGuN8n3r4AuQSIivTZ5x8nUUUcnnevK6qhj8o6TM4xKJDvlJl8Hznf356sZjKSnZUULK9eupGVFi3qbStU1DW/iuqOu45M3fxLDGFI3hGuOuEbfPalZ5bb5akDeADJn4RzGXjyWJS8sYezFY5nzSI+XUhapmCkTpvDUqU+x69a78tSpT2laU6lp5Sbfs1CV84DQsqKFqbdNpa29jQ7voK29jam3TqVlRUvWoUkN0LSmIkG5VzU6y91XbnxNybulLy9lcP3gorJB9YM0x66ISIrK7nBlZp8kzO28A1C093b3nSocl1SJrucrIpK9ss58zeyLwPeABwgTbtwCPAJsCVxdpdikCpqGN/G2Hd5WVLb/DvurGlBEJEXltvmeAJzo7l8lXNXoMnf/ACEhj61WcFJ5i1sW8/snfl9UducTd7K4ZXFGEUktSfayF6ll5SbfMcB98X4bMDLenwMcVemgpHrue+a+XpWLVIp62Yt0KTf5PgdsHe8vA94S778OTTvZr+y73b69KhepBPWyFylWbvL9A/CBeH8WcKGZzQVuBG6qRmBSHeObxjN93+lFZdP3nc74pvEZRSS1QL3sRYqV29v5RGKidvcrzOwl4K3AL4ErqxSbVMml772UaftMY9H8RSyatkiJV6pOvexFipU7zrfT3dsTj29091Pc/TJ3X1u98KRaxjeNZ6vGrZR4JRVNw5uYddgsGhsaqbd6GhsamXXYLPWyl5rVm3G+2wInA7vFokXAD9392WoEJiIDy5QJUzhox4O4/y/3s+zQZUq8UtPKHef7LuBx4MPAynj7EPC4mR1cvfBEREQGnnI7XF0C/AjY1d0/EW+7AlcB369adCIyYGiokUiXcpNvM2FijdJhRT9Ak2yIyEZoqJFIsXKT73xgj27K9wAWVC4cERmINNRIpFi5Ha4uBy4ys12Av8WyNxM6YH3FzPYurOjuD1Y2RBHp7zTUSKRYucn3p/HveRtYBmG2q/o+RSQiA05hqNHUW6dqqJEI5SffHasahYgMeBpqJNKlrOTr7suqHYiIDHxNw5sYNmiYEq/UvHI7XGFm7zWz281skZltH8s+ZWYHlrn9EDObZWbLzOxVM/u7mb03sfxAM3vMzFaa2VwzG1uy7dVm9j8ze87MTi157k3etlbp0m4iItkpd5KNjwI/A/5JqIIeFBfVA18q8381AE8B7wA2B04HfmZmzWa2NeECDWcAWxJ6V9+Y2HYGsAthWNNk4Etm9p4Y2yZvW6s03lKyooM+kaDcM98vASe4+/8D2hPlfwP2KucJ3H2Fu89w96VxrujbgX8Dk4AjgUfd/efuvoqQMPc0s13j5scC57j7S+6+mDC5x3FxWV+2rTkabylZmbNwDjtctAOPLX+MHS7aQQd9UtPKTb67AH/tprwVGLkp/9jMRgPjgEeB3YGHCsvcfQVhOsvdzWwLYNvk8nh/93i/L9vWHI23lCy0rGjh4zd/nFUdq3CcVR2r+PhNH9dBn9QsW3/Sqm5WMvsXcLK7/97MXgX2dPcnzOyTwBfcfUKv/qnZIOC3wOPu/mkzmwW0uPtXEuvcSzhLvRt4EmiMZ7aFuaavcvfmvmzbTVwnEi6fyOjRoyfdcMMNvXlZ3WptbWXEiBF9fp5Kae9sZ+HzC+n0TsYMGcPTq5+mzurYY5s9aKgr+zobVZe3961UnuPLY2wvrXqJJ156AmDd9w5gpy12YouhW2QZWpE8vndJeY4vz7FBZeKbPHnyA+6+T0UCcveN3gjVzosJ1/B9ldBueyzQAnymnOdIPFcdcAPwG2BQLPs+cHnJeguBo4AtCOOHt0ksOwpY2NdtN3SbNGmSV8LcuXMr8jyVdP3C673x3Ea/aM5F3nhuo1+/8PqsQ1pPHt+3pDzHl8fYLvnbJc4MnBn4BddfsO7+JX+7JOvQiuTxvUvKc3x5js29MvEB870X+W5Dt3KHGn3XzDYHfg8MBeYCq4EL3P0H5SZ6MzNgFjAaOMS7rgX8aEzmhfWGAzsT2nJfMrNngT3j/yfef7QC29akKROmsNfovVg0fxEPnPiArukrVXfQTgf1qlxkoCt7qJG7fx3YGtiXMLVkk7uf0cv/90NgPHCou7clym8GJpjZUWY2FPgG8LC7PxaX/xg43cy2iB2pTgBmV2DbmjRn4RwmzZzEU688xaSZk9TxRapufNN4pu87vahs+r7TdeAnNavs5Avg7ivdfb673+furb3ZNo69/TShd/RzZtYabx919xZCdfA3gZeANwHHJDY/k9CJahnwR+B8d/9djGmTt61F6u0sWdlvzH4MbRhKndUxtGEo+22/X9YhiWSmrGpnM/vDhpa7+zs39hweZsmyDSy/C9i1h2WrgePjraLb1ppCb+e29q6Kh0JvZ806JNVSOOhb1b6KTu9kVfsqpt46lYN2PEjfO6lJ5XZvPQC4BlhZvVAkDbq6jGRBB30ixXoztuSr7v581SKRVOjqMpIFHfSJFOtVm68MDFMmTGHZ55cxbqtxLPv8MqZMmJJ1SDLAFQ76htbHNt/6oTrok5qm5FujdHUZSZ1DGG3Y9VekVvWm2vkkM+u2h7O7X1iheERkAEr2su/0znW97NXhSmpVucn3SeCTPSxzQMlXRHqkDlcixcqd4aq5ynGIyACmDlcixdTmKyJV1zS8if132L+obP8d9tdZr9SscifZuGRDy939lMqEIyID0eKWxdz5xJ1FZXc+cSeLWxZrikmpSeW2+U4Hngb+xfqzVG38moQiUtPue+a+HsuVfKUWlZt8z6JresYrgJsSVyQSEdmgfbfbt1flIgNdWW2+7n4WsCOhV/PHgGVm9m0zG1PN4ERkYNh62NZYSaWZYWw9bOuMIhLJVm8uKdjp7re7+6HAyfH2kapFJiIDxoJnF+AlLVSOs+DZBRlFJJKtsifZMLNGYApwErAFcB4wq0pxiYiIDFjl9nb+AfAhYB7wtXgJPxGRskzcdiKD6wcXjfUdXD+YidtOzDAqkeyUW+18MtBBuGbuhWb2cPJWvfBEZCBoGt7E7MNnM7QhXlihYSizD5+tcb5Ss3rT21kGkJYVLaxcu5KWFS3aAUo6nK6BiRqgKDWu3OkllXwHkDkL53D8rcdz3uvO46iLjuLqw6/WZQWlqgoXVljVsYpO72RVxypdWEFqWtm9nc1sqJkdbWZfNrNRsWxnM9uyatFJxbWsaOHYm48t2gkee9OxtKxoyTo0GcCWvry0V+UiA11ZydfMXgc8Rphg45tAIeGeDHy3OqFJNSx4dgFrS+ZHWetrNeRDqmrE4BFFVzQCaGtvY8TgERlFJJKtcs98LwbuBEYDyV/QbcDkCsckIgNM65pWGusbi8qG1g+ldU23lwgXGfDK7XC1H/Bmd+8wK5ql5kngtRWPSqpGQz4kC82jmlndsbqobE3HGl1SUGpWby4pOKibsh2AVyoUi6SgMOSjsaGROqujsaFRQz6k6pavXE4nnUVlnXSyfOXyjCISyVa5yfdO4NTEYzezkYQhSL+ueFRSVVMmTOGBEx9gh8134IETH1BPZ6m6DV3VSKQWlZt8TwXeZmb/AIYCNwJLgdcAX6lOaFItcxbOYe8r9+bJV55k7yv3Zs4jc7IOSQY4XdVIpFi5VzX6D7AX8B3gSmA+8CVgb3fXGJV+REONJAvjm8Yzfd/pRWXT952ua/lKzdpghyszuxr4nLu/6u5twNXxJv3UhoYaHfy6gzOKSmrBpe+9lGn7TGPR/EUsmrZIiVdq2sbOfI8FGjeyjohIWcY3jWerxq2UeKXmbSz52kaWSz9TGGqUpKFGIiLpKqfNV1OgDyAaaiQikr1yJtl4rmRijfW4e31lwpE0TJkwhYN2PIj7/3I/yw5dpsQrqdHVtESCcpLvicDLVY5DUtY0vIlhg4ZpByipmbNwDlNvm8p5O5/H0RcfzazDZmmMudSscpLvr9z9+apHIiIDVuGSgm3tbXR4B23tbbqkoNS0jbX5qr1XRPps6ctL1+voN6h+kC4pKDVLvZ1rVLLtTaTamkc1F13MA2Btx1pdWEFq1gaTr7vXqcp54JmzcA5jLx7LkheWMPbisZpeUqquaXgTsw6bRWNDI/VWT2NDI7MOm6UqZ6lZvbmqUZ+Z2XQzm29mq81sdqK82czczFoTtzMSy4eY2dVm9j8ze87MTi153gPN7DEzW2lmc81sbLnb1pqe2t50BizVVrigx/abb68LekjNSzX5Av8BzqXnKSpHufuIeDsnUT4D2AUYC0wGvmRm7wEws62Bm4AzgC0J807fWM62tUhtb5KVOQvnMGnmJJ565SkmzZykGhepaakmX3e/yd1vAV7o5abHAue4+0vuvhi4CjguLjsSeNTdf+7uqwjJdk8z27WMbWuO2t4kC6pxESlm7ul3aDazc4Ex7n5cfNwM/JtwZuzA74EvuvtyM9sCeBF4jbv/N65/NHCmu+9hZt8HBrv7yYnnfwQ4E/jDhrbtJq4TCeOaGT169KQbbrihz6+1tbWVESNG9Pl5KunFVS+y7OVlbDdkO55Z/QxjR41ly6FbZh3WOu2d7axcsZJhw4fRUFfOaLj05fFzLchjbCvXrmTJC0vo8A7GDBnD06ufpt7qGbfVOIYNGpZ1eOvk8b1LynN8eY4NKhPf5MmTH3D3fSoSkLunfiNUPc9OPB4B7EMYdzwa+AVwR1y2PSEhD02s/y5gabw/C/h2yfPfSzi73eC2G7pNmjTJK2Hu3LkVeZ5Ke771ef/1nb/251ufzzqUItc/fL03ntvoF825yBvPbfTrF16fdUjdyuvn6p7P2J5vfd4bz210ZuAXXH+BMwNvPLcxd9+/PL53SXmOL8+xuVcmPmC+VygPpt3m2y13b3X3+e7e7uEMdTpwsJltBrTG1UYmNhkJvBrvt5YsSy7f2LaSI6qaHLjU21mkWC6SbzcKdeF17v4S8CywZ2L5nsCj8f6jyWVmNhzYmdAOvLFta1JehxqpM9jANmXCFJZ9fhnjthrHss8vU29nqWlpDzVqMLOhQD1Qb2ZDY9mbzOz1ZlZnZlsBlwDz3P2VuOmPgdPNbIvYkeoEYHZcdjMwwcyOis/9DeBhd3+sjG1rTp7PLtUZTERqRdpnvqcDbcBXgI/F+6cDOwG/I1QHPwKsBpKHxWcCjwPLgD8C57v77wDcvQU4Cvgm8BLwJuCYcratRXk+u1TV5MCW1xoXkSyk2pXU3WcQhgJ1p8dforuvBo6Pt+6W3wXs2sOyDW5ba5pHNdPW3lZUtqp9VW7OLnW5w4FJF1YQKZbXNl+povaO9g0+zpoudzjw5LnGRSQLSr41ZsGzC+iks6isk04WPLsgo4ikFqg9X6SYkq/kjq64NPCoPV+kmJJvjZm47cT1qv8G1w9m4rYTM4qomDrlDFwaaiTSRcm3xjQNb2L24bNpbGikzupobGhk9uGzc3EGkudhUFIZas8XCfI5ca5U1ZQJU9hr9F4smr+IB058gPFN47MOCejqlJPsjV3olKOd9cCQbFLQZyq1TGe+NSivl3ZTp5yBTU0KIl2UfGtMnqt21Sln4Mrz904kC0q+NSbv4y3VKWdgyvv3TiRtSr41pnlUM6+uLr6oU+vq1lxV7ea9U46GQvWemhREiin51pjlK5d3O8nG8pXLM4qof1G75aZpGt7E1IlTi8qm7j01twdYItWm5Ftjbl58c6/KpYvaLTddy4oWZi2YVVQ268FZeu+kZin51hrrZbmso3bLTbf05aXrzSG+tmOt3jupWUq+NeaIXY/oVbl0UbvlplvTsYa1vraorN3b13s/RWqFkm+NGd80nun7Ti8qm77v9NxMtJFnGgq16f714r96VS4y0GmGqxp06XsvZdo+01g0fxGLpi1S4u0FXW940+y73b69KhcZ6HTmW6PGN41nq8atlHg3Qd6HQuWRalxEiin51qh7n7yX/7z6H+598t6sQ5Eacel7L2XRtEU0j2pm0bRFXPreS7MOSSQzSr416OCfHMzbrnkbz7Y+y9uueRvv/sm7sw5JaoRqXEQCJd8ac++T9/L7J35fVHbnE3fqDLgXNMOViPSVkm+NufmxHibZ6KFcimmGKxGpBCXfGrPrVrv2qly6aIarvlOtgUig5FtjDtv1MKxkOivDOGzXwzKKqP/QDFd9o1oDkS5KvjWmaXgTPz3qpwypH4JhDKkfwk+P+qmGzZRBM1xtOtUaiBRT8q1BUyZMYcGnFzB21FgWfHqBrplbJs1wtelUayBSTMm3Bs1ZOIdJMyfx1CtPMWnmJFX/9cKUCVNY9vlljNtqHMs+v0wHLmVSrYFIMSXfGqPqv77TDFe9l6w1qLM61RpIzVPyrTGq/pPMOHR2duLudHZ2Zh2NSKaUfGtM86hmWte0FpWtWLNC1X9SVS0rWjj25mNZ3bkax1nduZpjbzpWNS5Ss5R8a8zylcvp8I6isg7vYPnK5RlFJLVgwbML1rue71pfy4JnF2QUkUi2lHxrzH3P3Ner8ixoIgYRGeiUfGtM3q+rqokYBqaJ205cr6/B4PrBTNx2YkYRiWRLybfG5Pm6quqJPXA1DW9i9uGzi3o7zz58tno7S81qyDoASd+l772UaftMY9H8RSyatigXiRe6emK3tbetKyv0xNZOuv+bMmEKB+14EPf/5X6WHbpMn6nUNJ351qg8XldVEzEMfBojLRKkmnzNbLqZzTez1WY2u2TZgWb2mJmtNLO5ZjY2sWyImV1tZv8zs+fM7NRKbSv5oekbRaRWpH3m+x/gXODqZKGZbQ3cBJwBbAnMB25MrDID2AUYC0wGvmRm7+nrtrUsrz2KNX2jiNSCVJOvu9/k7rcAL5QsOhJ41N1/7u6rCAlzTzMrXGT2WOAcd3/J3RcDVwHHVWDbmpT3HsWqmhy48nrQJ5K2vLT57g48VHjg7iuAx4HdzWwLYNvk8nh/9wpsW3PUo1iykveDPh0YSJrM3dP/p2bnAmPc/bj4eBbQ4u5fSaxzL+Es9W7gSaAxntliZu8CrnL35r5s201cJwInAowePXrSDTfc0OfX2trayogRI/r8PJWycu1KlrywhA7vYMyQMTy9+mnqrZ5xW41j2KBhWYe3Tt7et1J5ji+PsbV3trPw+YV0eue6712d1bHHNnvQUJf9oIsX215k2SvL2G7Idjyz+hnGjhrLlkO3zDqs9eTxsy3Ic2xQmfgmT578gLvvU4l4sv/WB63AyJKykcCrcVnh8aqSZX3dtoi7zwRmAuyzzz5+wAEH9PJlrG/evHlU4nkqpWVFC0dcdARrOtZwwbgLOG3JaQyuH8zThz6dq2revL1vpfIcXx5ju/+Z+znrvrN4ZfUr6753I4eM5K797+KN270x09haVrQw9uKxtLW3rYutsaGRZZ/P33CoPH62BXmODfIXX16qnR8F9iw8MLPhwM6EttyXgGeTy+P9RyuwbU3yTt/gY5FKy/MwMl3pS7KQ9lCjBjMbCtQD9WY21MwagJuBCWZ2VFz+DeBhd38sbvpj4HQz2yJ2pDoBmB2X9WXbmrP05aUMG1xcvdw4uFE7GqmqpuFN7L/D/kVl+++wfy7OLPN8YCADV9pnvqcDbcBXgI/F+6e7ewtwFPBN4CXgTcAxie3OJHSiWgb8ETjf3X8H0Jdta1HzqGZWrllZVNa2pi1XOxp1fBl4Frcs5s4n7iwqu/OJO1ncsjijiLpofLlkIe2hRjPc3UpuM+Kyu9x9V3dvdPcD3H1pYrvV7n68u49099HufmHJ827ytrXI6myDj7OU9x6xsmnyfjUtjS+XtOWlzVdSsvTlpdRbfVFZvdXnotpZw6AGrrxfTQs0vlzSpeRbY0YMHlF04QKAtvY2RgzOfohATwcAeTgwkL4Z3zSeg3c6uKjs4J0OztXc4iJpUvKtMQv/u7BX5WnK84GB9E3Lihb+9OSfisr+9OSfVKshNUvJt8b8d8V/e1WepqdeeapX5dJ/aDiPSDEl3xpz0E4H9apcpBI0nEekmJJvjclz29vEbSfSYMWTrjXUNTBx24kZRSSVouE8IsXyMr2kpGRDbW952BEaJcOgPD/DoKRvpkyYwkE7HsT9f7mfZYfmb+pGkTTpzLfG5Lntrb/MvqVJQDadhvOIBEq+NSbPbW95jq1Ak4AMXDqokjQp+daYPLe95Tk20CQgA5kOqiRtavOtQXlue8tzbIUq++RY5EKVfZ7ilN7p6aDqoB0P0ucqVaMz3xqV57a35SuX09bexvKVy7MOpUh/qBaX3stzPwgZuJR8JVc++5vPstvlu7H05aXsdvlufPa3n806pHWahjcxdeLUorKpe0/N5QGMlE8HVZIFJV/JjcUti7ns/suKyi6777JcXHYOQvXkzAdnFpXNfGCm2nz7ubz3NZCBSclXciPvl51b8OyC9c6Q1nSsYcGzCzKKSCpFlxSUtCn5Sm70h8vOSd/keThPnvtByMCj5Cu5Mb5pPNP3nV5UNn3f6bmY+hLC9JeDbFBR2SAblKvpL/Oc3DScR6SLkq/kyn5j9mNo/VAMY2j9UPbbfr+sQ1qnaXgT1x55LUPqhmAYQ+qGcO2R1+bmTCnPyU1jpEWKKflKbhR20Ks6VuE4qzpW5W8H7VBXV4eZUVeXn59P3pObhvOIFMvP3mMAynMVYB7lfQedTHCd3pmrBJf3907DeUSKKflWSZ6rAPMq7zvoPCe4vL93Gs4jUkzJtwryXgWYV3nfQTePai6aWhJgVfuqXCS4vL93oOE8Ikma27kKNAfwpsvz3M4A3ukbfJylvL93oOE8IgU6862CvFcB5l1ed9D94XrDeX3vRKSYkm8V9IcqQOk9HVSJSKUo+VaJ2rcGnqbhTUzdWxdWEJG+U/KtIlUBDiwtK1qY9eCsorJZD85SRzoR6TUlX5Ey5XmokYj0L0q+ImVSm6+IVIqSr0iZ1Obbd5r1TSRQ8hUpU8uKFmY+MLOobOYDM5VIyqRZ30S6KPmKlGnBswvWq3Ze07GGBc8uyCii/kOzvokUU/IVkapTZzWRYkq+ImXafvPte1UuXdRZTaSYkq9ImVrXtDLIBhWVDbJBtK5pzSii/kOzvokU04UVRMo0YvAI1vraorK1vpYRg0dkFFH/0h8u/CADU7KXfV6+d7k68zWzeWa2ysxa4+0fiWUfMbNlZrbCzG4xsy0Ty7Y0s5vjsmVm9pGS5+1xW5Fyta5ppbGhsaissaFRZ769oFnfBqY8DyHLay/7XCXfaLq7j4i31wOY2e7AlcDHgdHASuDyxDY/ANbEZR8Ffhi3KWdbkbL01D6pdkupZXlNbpDvXvZ5TL7d+SjwK3e/x91bgTOAI81sMzMbDhwFnOHure7+Z+A2QrLd4LYZvA7px9RuKVIsz8kN8t3L3tzzczFwM5sH7A4Y8A/g6+4+z8xuBf7i7t9JrNsKvAPoBO5192GJZacB73D3Qze0rbs/UPL/TwROBBg9evSkG264oc+vqbW1lREj8tkmqNg2TXtnOytXrGTY8GE01OWv20Se3zvId3x5jg3yF9/KtStZ8sISOryDMUPG8PTqp6m3esZtNY5hg4Zt/AmqrL2znYXPL6TTO9fFV2d17LHNHpv02508efID7r5PRYJz99zcgDcBmwFDgGOBV4GdgbuBk0rWfQY4ANgfeK5k2QnAvHi/x203FMukSZO8EubOnVuR56kGxbbp8hxfnmNzz3d8eY7NPX/xPd/6vDee2+jMwC+4/gJnBt54bqM/3/p81qGtc/3C673x3Ea/aM5F3nhuo1+/8PpNfi5gvlco3+Wq2tnd/8/dX3X31e5+LXAvcAjQCowsWX0kITlvaBllLBcRkU3QNLyJqRPzPd95Xq+tnqvk2w0nVEE/CuxZKDSznQhnx0vircHMdklst2fcho1sKyIim6hlRQuzFuT/Gtd57GWfm+RrZqPM7N1mNtTMGszso8Dbgd8BPwUONbP9Ywers4Gb4lnyCuAm4GwzG25mbwUOA34Sn7rHbdN+jSIimyqPw3ny3KEp73KTfIFBwLlAC7Ac+CxwuLsvcfdHgZMIifR5QrvwtMS204DGuGwOcHLchjK2FRHJtbwO59G0oZsuN8nX3Vvc/Y3uvpm7j3L3N7v77xPLr3f3Hdx9uLsf5u4vJpa96O6Hx2U7uPv1Jc/d47bVlMcjVRHpX/I8nKcw/G5o/VDqrI6h9UM1/K5MuUm+A01ej1RFpH/JfdWug5kBXX9l45R8qyDPR6oi0r/kuWo3ua/r9E7t63pBybcKlr68lLb2tqKytva2/Bypiki/kefhPLk/K88xJd8qmP+f+b0qFxHpSZ6H8+T5rDzvlHyr4PqF1/eqXESkJ3k+u9R855sufxPTDgD3P3V/r8pFRHqS97NLXad50+jMtwpWs7pX5SIiPekPZ5d5nEEq73TmKyKSczq7HHh05isi0g/o7HJgUfIVERFJmZJvFdT18Lb2VC4iIrVF2aAKBtcN7lW5iIjUFiXfKuj0zl6Vi4hIbVHyrQbvZbmIiNQUJd8q2Hr41r0qFxGR2qLkWwW7b7N7r8pFRKS2KPlWwSlvPqVX5SIiUluUfKvg/ePezx5NexSV7dG0B+8f9/6MIhIRkTxR8q2Sh6c9zHVHXMeoIaO47ojreHjaw1mHJCIiOaHkWyVzFs7hhF+dwKtrXuWEX53AnEfmZB2SiIjkhJJvFbSsaGHqbVNpa2+jwztoa29j6q1Tc3HxaxERyZ6SbxXk+eLXIiKSPSXfKsj7xa9FRCRbSr5V0B8ufi0iItlpyDqAgUoXvxYRkZ7ozLeKdPFrERHpjpKviIhIypR8RUREUqbkKyIikjIlXxERkZQp+YqIiKRMyVdERCRlSr4iIiIpU/IVERFJmZKviIhIypR8RUREUqbkKyIikjIlXxERkZSZu2cdQy6ZWQuwrAJPtTWwvALPUw2KbdPlOb48xwb5ji/PsUG+48tzbFCZ+Ma6e0WulKPkW2VmNt/d98k6ju4otk2X5/jyHBvkO748xwb5ji/PsUH+4lO1s4iISMqUfEVERFKm5Ft9M7MOYAMU26bLc3x5jg3yHV+eY4N8x5fn2CBn8anNV0REJGU68xUREUmZkq+IiEiZzMySfzeVkq+IiEj59gJwd+9LAlbyTVFfj5RERCQ7ZrYF8Dczmwl9S8BKvlVmZq81s1Og70dKeWNm9VnHMFD0p/fSzLTf6CfyvL/Jc2w9cfeXgLcDh5vZpbFsk/brDZUOTrrED+QDwBFmNtjdLyh8UN7Pu5mbWb27d8TXeDDwP+BFd/9Hlf9vnbt3VvN/pC3xXtYB3wJWA+3ufnbGoa0nEevOwDuBduBhd38g49BSEb/vltfvYOLzaQRWAYOANRmHtR4zG+Luq+P9fvObNrMGd/8/MzsM+L2ZveLup2/Kfl1DjarMzLYCpgAHAfe5+3mxvN8m4ELsMVncT0i89cAK4GZ3r8p4uvjFb4/3NwOGuft/q/G/0hbfy/nAf4BfAScDrwAfc/ensoytlJntDswDbgG2B1qBR9x9Ri+fp97dOyodXzWY2ebu/krisQFjgU53fzK7yLoUkpiZ7QGcAwwGFgN3uvsd2UYHZjYOOMTdL46PBwE/AJqAOcAf3D23c0Mn3t+9gBOB1wOTge+7+/+L65S9X1f1URXFs90XgJ8CC4BDzGwa9O8q6MSX6zLgMXefDBwCbBX/Vlz84rebWZ2Z3Q1cDzxoZp8xs7HV+J8pOwr4t7u/392vJBzUNAJPZxtWFwsGA2cDl7j7CcAngLcAvTqQTJ7tm9lHzez9Zvb2KoTdZ2a2JfADM/t8ovhB4AbgLjM7Lou4SsXEsCPwW8LB0feBl4GfmdnrMgytYHvgQjP7Ynx8JyHx/hM4EzjJzJozim2j4vu7LXAbsBD4HOHE6ngzuySuU/Z+XdXOVeTua+LR3Y3Af4Fm4FgzG+Hu3+0PVdAbiW8IIQlCOIIdDBxtZk3AZu7+RKXiSFRL3Qk8DxxP2OnfRahWu6pS/6taNvJebg4Mi+tdB7wBmARsZWb7ufttKYXZrUTsa8zMgV/ERb8B/ujuZ8Uzm3p3X7yx50tUs88nJIgXgdeZ2U05rG4fBDwJHGBmKwlnvPOB84B3ATPNrNHdf5hhjAVvB/6UOLv8DnCju//LzLaIbZaZcPe7zey9wG1mth0wt/BZm9m9wBeBOjO71t0rcUW5amgGWhKf9SNm9hQw18xedPcZOvPNj8uBNe7+ceDNhKq6t5vZFyD/Z8CFL5KZvatQZmYfjXdHA683s+8Rut+/OVYLfwp456Z2Ikq+H8nOPfEMZK27T3H3NuBQ4FHg6tjGlWuJ9/JbhTIzu8rMxgCPAy+Y2U3A7u7+BndfC3wSmBqr2VOX+CxGJopHAv/PzP5MqG7+SCw/nXDAUK6zCTUn73T3owkJuCo1J30RmzYuJSTc/Qm/4++6+79jE8sngEvN7NNpx9bNb6wReCkuW0B4f0+Mv52jzWxk6XOkofA9itXfhxMOnj9pZkNirdatwPcI/QhONrMdsoizVDf75uVAh5lNTpQ9TPhufMPMPlf2k7u7blW8EX60pyQeb06oDvon8NWs49tI7IU+AYcCdwOnAH8HZsXydxDa+5YntvkM8AywSwX+/6BCHMAOwJbAPwg7vx8BDwFD4zrfJCStzN+3Hl7LqPh3MPDX+DoeAn4eyxuBm+OP+4BYdgrQAuyRUcz18e/mcQczLT5+I6Et8Z+Jda8hVJU3bOz7lHh8IfDZeP86QtPMIEJVZCavuZuYGxL3X0M4wHgJOLdkvQ8CncDxKcZW+H2+DmiO999B6Gj1NHBRYt05hLmNLa34St/D+DveKt4/EFgJfKVk3WMI1eZb5+CzT37/twJGEE5Yr4/f110T614c95M9fv/Xe/6sX+BAuhU+rJKyK4D5JWVvIyTfWXn4kvXwWnYFPh7vbwF8Lf6o/5Z8vfHH8ipwNaFt+wlg7wr8/8sI1fWD4o5/avzifx94AFicWPczMRnskPX71sNrGR3fm93i4+GEXsIvlqw3EvgxcBNwD/BnYGJGMdfFvxMIZySLgReAqbH8A8D/AX8hdBD7I10HS939DkoTbz1wCXB+/Pt3YEhc9lXg64Xny/BzKySNOkKP/kHxt3A68GvgxJL1jwDGpxRbITGMBH5C6CG/Yyz7HLAWOBp4E3At4UBv3cFsiu9hIc46QlvpV4Dhsey9Me6vlWwzIsvPvRBv/PsG4F7CAfNP435oGDA3/k6vB34JLEpsU1YCzvQFDqQbxUd3k4CD4+ORcQd1a2LdqYQjp62yjnsDr+fjyZ0LoZpoPqGt79Ml6+4OHBd/7M19+J87A3vF+1sSzgL/C/wssc7+8Yv/feDUuJN+noySVJmvawzw1sT3YxihN+pvgccI7ePJ9bcmnGVtnnHcY+P7P42QbM8inFEVEvDgmJTekNjJbnDHQ+gIdHK8vyuhvbc1sXwa8ByJs4oMXnddYkdaR+hc9SNg+1i2HSEB3w6ckEF8hTPevQgdfy6L7+MLwM5x2ccJB0TXEPpD9HhgVI33r5v380HC2XdjybL3EUZJnFvtuDbhdYwhnCSdFO9/nFC7MZ5QO3Mc8B1CrVvh/a0r+/mzfoED6Ra/ZPMJnVCeJpzFHAPsQThb+ydwB6HaKhfVamW+pvcB2xDO2L5AOOqfnljndRX4P0MIHViOSZT9nnBkfEV8XNjBv4nQFnpdTAi5rW4ueY0GXAB8JFH2B8JZZaH6/H1ZJp6SeD8IzEs8HhF3RM8Dn+juu9Lday55PJ3QQe74+PjNhLbenwO3Eg5G+lxzsomvd3Q3n9efgJ8kygpn58MIZ+j3AMdlEOtIwtnY9Ph4O0Lt04uF3yMlB28pJd5dCQfEQxNlnyQMQSw8/ijhwPnA+PgIwkHeVqXfl5Tey27/J3AAcHvi8YN0Nbmtd+LU2/c31Rc5UG7dfVgxSV0N3JAoexa4OPH4cEJVy05Zv4ZevNYPENpmToyPtyZUHd0Wf0AnEHqCNvX1h0NXe1AdsC0winAG/AKh6qw+se7wrN+b3n5X4mu6iNDp7thYVk9oT3+KcATdSQUOZioU+7sIVd/bJcpeFz/v/xLPgLvZrlAL1O3OKO6MO4FPxsfbEc6gJyf/V8qvdTPCAfJ+dB3kvZ7Qu75wFnwhoSnkFkLb6pbAacQz4pTjHUloYz84+b4TDuaepqsNuPBaUklqhIOpT5WUfYxwYHUYoebsIcKJSSfwhrhOJr/nxPszhFDztkti2WHAHfH+A4Re44V1v0Ifm7lSf7H9/VayMx0PvJZYlUI4et8r3r+SUCXUQGyszzr2cl4b3VQbAp8G/k2sbo47nVPijukxKlzlC/w/QhtKoap2Z0ICnh0ff4bQVjg46/dsI69jvfgIYx3PIrSTHpso/w5huFbWnauGJb7Pr42fw7cpPvC5ijAs5K+UnKXGbb5GV/ujEfo9fLZkveOADhI1HRl/Vg10VdkWqnULZ74PEapMFxDGY98MzChsl1J8pVW5wwhtkKcm9y3AGcBSwmQtqR7IlOwb6+J+YzNCh6VfAT8kVN8Xqmh/VviNZ/SZJ9vN/0o40GwDPhfLRxE6j7ZRfBI1h9DO27eTjaxeeH+8lXy5fhJ/lA8QEu1wQuP7mfEL9mBiJ/ZtYuelPN4IHYLGJh7XE476Dk2UnRx/1IUEbIQjwD63W1NyhkRoy7qI0Ga1XywbS2gLvIswo1YmVZNlvJZxFFcrDyK0T/+UcCZZR6jCP5v1E3DWHYz2iu/vg/HzriN0uFpO6Bz41fgd/z/CAdH9wAdLnuODhLOvs+Jn1gB8g9Bp5fiSdecRzn4+mNZrLPn/PVU3ziHMWgShpufzwIfpOqP/PmGSkR6fo8JxFpLEGOA9xKRKmODh0fi3OZb9KMb6U8JBUioHB8k44/3xhJEQ34r7inUdr+LfzxESW+q1BsnPjXBwsITQqXBHwsxVncD+cfnbCTU9PwA+FN/XinReS/1FD4Qb4cj3T4RqxM/EndXU+KV/MH6pCh/OZwhViuOyjruH1zKccET6M+A1sewRQg/jh+KOtvBFPZnQbv05+ngmTzwrpHg40W6JHdyOhGFa99CVgJsICSyTH2yZr+tD8cd7bHz8V0KV29XxfT01/uC3IRyo/ZFEss4g3uTR/2Lgy4Sq1PmEavBCddz3CFWF1yQ+szvizqq0XffDhAOLc+PrHEaozfgbsao5rveFuE4qPYQ38B4kv4O7EA4glhDPbuOyOsKB1KmEWphU+hkkfntvIFT1Pxp/l4VOa5+O36GH4j5pSSLOmzJ4Lw04Ot5/B/AvQgJuimV7xd/1f8n4ADq+T3cBCxJlm8V9zrsI09cW9kVXx9/AtxL7qD4d2GT2wvvrjXBk+RSJsxRC9eu0+MU7i5DM7iacvT1DDnviUnwWfzDhjGZWTAgXxvLtCT2LH03spE+NP/RRm/p/4w55CfDGWFZP6BH+D8LZ0IcIZ0zN8Yf6B+KRaH+4ETqUdBLO+M5MlB9HOAM8jdB56TWEs8lMDyZiwrkCOD1RdgihGu6bdN+55POEmoidEmX7EzoXDgbeTeiYdy6hZmU4IQE/SBgT+VVC2+SWGb/25JC2hYQerXWEvg6PA2fH9Qrtu/9K6/dM8dnZt+hKuF8mHNB9Mca6E6EvyQfpOpA4m3CSMDSFOOsS999F6PRVaMs9IL6P3yQc4A0hdMjKvFMhoTnwfMKJx3Gx7APxt/t3wsHl14GJlCRaKtB5LdMX3x9vhKO5fwDvjY+3JXTzf5ZwZvCTuOP5HmE8785Zx7yR1/P/4s7yALqqy5OTghSOBP9OVwIeVYH/+3vCQcxEYAahQ9XWhGT7S0Kv2gZC1eU1cUc+lAx6Q/biNV0OfDTeP5bQq3ch4eCisCM9nnCmcgZx0H4O4t4v7nAeKSl/X4z1+3QNs9mc0GP5ORJnLoT+Dg8RzvT/GF/bETFJnEs40BhEaM64h3BmnFWv5p6GtP08sc7guCP+F/D1WDYGeG2KcVqM7znCwenExLLPETo9fpHEXAGEzmvfIZEAqxxjdz3cv0uoOdkmPn47YZ95CbG3eF5u8TP9BqEj2ExCrca7CRPJHElIwMuAqwqfScX+d9Yvvj/eCAl4MaEa9sm4c2kmVMHNih/WLeS8Ry6hOuVB4NT4+N2EM90/kujJF3ekDwF/jY/7lDAIZ9fHE4bdvALMBvaMywbH5bcQelI3EM7AR/flf6b0fp5POAgbEx9/iDCZxnEl600DfkdGZ3097DD3J4y3PKuk/CjCQUWypmQrintA30So8hxCOPO9lXgAF7cvJOBCAh9EyXjPFF97OUPaCu2SgwizFr1IyUxMKcf8NcLB0SdKyj8b3/ePJ8p2JhzY7JVifEY4+JoT9xVjCAfRp9I1hO6dhA5r22T1Pm4g/kICfpLY1p9YNoxw4FjxYVqZv/D+eiMczbWSGFqUWLYvsf00TzfWb5sbFBPdr4FtY9n7CJ0KfkRxleJwEp2y+hjHaTHpFmbO6mT9TkpnEKqbP1mJ/1nt9zKWbU2owrqY2CZOqMbsoGRYDhlNoEFX7cW2hCn+Xk/X1JcHEnp2nt3Dtt0l7UIzzOBE2eWEs4gvA28l9Iz/GaEZpiLfoT6+Bxsb0pasRh1NOChNpQaLko5JifKvEQ4QDikpP7qbdas+CoDizlWjCX1EOgnDsU6KyfdSYltvXC+TA64yX89r6DoD/lSiPHnQWdEEnPmL7s+3uGNZTKhey/VZbkncO9DV4WlUfA2zE8s/QKg+n0kf52juLknF8h8TO4QQquiXkzhaJ5wBf5l4FpnXG6G2422Jx58itFu/MVH2ccLUnJ/JONbklHn/JpyJPEiogdgpLjuQcFB5cZnPWdoM00RohrmS0I/gmfj7+Fh83FTp19WH96OcIW3fIoV20/j/kuOLLyFUHx+bWH5G/B69t6fPNuX3z4gHU/E79bsY98mEavJO4NLk+jn4zHuMga4z4JtJTCJUtViyfjP6+y3ufArd/XM97jTGew6hevHLwD6xbG9ClcvxifXeR6guvJQKDFcgDEo/PPF4MqGn4RHx8azSBJz3G6GTSyfhzO8kunpB3kJiZqhY9qm4Y988y50QoQ39abqaGj5M6BAzm9gjP76uP5QbJ8XNMMuIbaRx2dXALfH+ZpV6HZv42ns7pO1VUm6XJlTbLyd02vwxoV33/MTyr8fv3FuyfC9jLNPjvuQwQg3C8YQDltcQhkQ9Q5gHINNOdTHWbg9OSssJbeYXEA58qvo7zfQNGSg34CDCmMdMdy5lxGlxZ/t3QhvcgnjQ0Eg44rsaeH1i/XdTgQ4mdHXoWU2oghwfy8+nuJv/VXG9XE692d2PkdCrdA6ho9H5hFnMmuL3YUbJuiMzijs5i8/7gG8kls2PifY2wgHQ+JJty03Ab4874htKyr9F6EmdSccy+tGQNkJv4D8Te50TDtT+SahZ+EFiveNIcfxu6feopGwaofak8DnPpGvM8YRK7D8qFTdhDP4ZhGavoxLLS5vj1s3WV80EXPgH0kdmNszdV2YdR1J3F283s1GE6r8/E9p6ryG08W5B6PF8qbvfWIX/ewqh9+CzidsFhKT1qLtPjetdAlzm7kv6EkM1mdlr3f0/8f4HCFVufyBMvfhuQlX+PMJBx5nu/nA2kXZ9Fma2J+EM5UbCDuUxM7sL+I+7f8LMriYk0Nnufm53n2EZ/+uthDbgr7v7TWZ2AmGCmXe4+yOVfWUbjcUIO9E/E3qg3x+vffsnQoexZwlt0zcRqhu/QLhAyJnu/qcU46xz904zG01ItpMInZcgjIteQuhx+x3gTnf/RGLbBg/Xz04jznp374jX1z6SMFzwDnd/3MzeQOiYdgCh2eJPhLbpFWnEVg4zG0+Iaw5dwxifc/dPbmCbXv8GeiXroxLdqn8j7AAPIvYYJrQpFa6L20wYc3kR4axzBRW6NB+JiUUIZxszCB1EDiB0bPgDXWM/35/1+1TmazqF0Du2UF0+iFBle1l8PISQgP4Z38+vklE1M11tvNsQDnJOTSzbjnC2W+ho9wNC79m+zs/9DkLnmx8Tqk+znkght0PaEp/P6+P35Y10TXRzMfFiBISDgjvi7zjVGgSKO5/VEWb0u53QpvsQ4epOW8X3cBxwH6EdPRejE4izaxFq1c6JZSMIBzUXZhpb1m+Obil8yGGHMpdQrViY2OIThDPPUfHL2Ew4C3iFOC9vH//ncYS2xBPiYyP02Lwysc63CW1rnYQ2rkynVyzzdb2XMJHKSsLZyGtjAr4H+EJivSNiAkp19qbSpEFof/su8MtEWV3cUb5EmPzg9rjT7Lan7SbEMJlwZrlnxp/VmeR0SBvFB0aXJL87sfx7wJfj/SsIY60tuW2V43stsUd+4ntxOrH9Pj7+RNy3fDpR1kgORnrE/U2yp/JM4N3x/oPA9fH+68mo/TzTN0i3Kn+4xV++I+IX8GXCVWXeTThDm1yyTUXG4RGGH5xE6Dk7izCO1GKyvSSx3pvJwRSDm/D6JhPazG8lTHjwdkKb7xsS66TWAa+nHTLwFsKB1wvAu0qWfYLQq/1qNuF6pBuJJ5UewhuJIddD2ghnZN+Nn01hSsbC53A+4QzyXkKHzj7PJdybz45QC/B7YIvC/yXUjp1fsu6pwBMx6Wbemzn5HpGYmY3QtPYbQjPE1YnyH5NCz+bubmrzHeAKbUrx/lDC1IdfJ5zlvplwBvBed3+hSv9/AuEMY3NCsrqK0ElplrvfXRpjf5BoR92BMKXfUYR2w38ROhzNTDmeQnvccMJcv68hzEx2LeGMdmfCWfpy4Efufl9i20HuvjbeT60NsdJ6ap8zsx8TxlwfaWbfI8w8dpC7/z0uH0xo+vipuz9d5RhHEHr9jyac8c4hdPh6C6E24nh3fz6x/vsJCfrX7t5e+JyrHONgd19jZu8g9F5vINRevRTb8D9HuBDG4rj+SMKkHh9Mxp6VxG9hJKFp7Up3n2FmWxKm/B3j7k2xT8DVhP4ab8rie6/kW4PM7E2EXrl7Ec6Av03oJFOVL4OZbU2YavN0wk5nGaHN6Kt5T7o9HRgkEvBgQpvXdwkHNs8Rkt2qar2fPcQxktAe9xChtmF7wo79V4ThZWMIZ3/LgWvc/f5qx5YFM/sK8Ji73xIfTyYcbP7A3W82s1mEjmfrEnBKcY0kHHzeT2iOeR2x0w/hzHYLwAkTnDzXzfZpJN4xhNqCH7v7g2a2H+HM1ghV82sI1d8jgAs8dGKbTjjg29/dX65mfBuT6Ly2J+Eg623APoRZ286Kna7mEH4frxIOeN7v7mvTeH/Xk3UVgW6VvVFc1byhAeVbEDqh3EmKVb6E6rQXgOfJaJanTXlPiUOwNvKefogM5vIm1F7cA8wsKZ9G6HV9cXwNbyP0dL8+zc88xfchl0PaCGePdxDnB06UH06oDr0F+BKhpuIyMhqeQzgg+BthgpTChRH2I3SO/BlhlrvdY4xthAO7p8jRhWMIHQmfid/9fQjj61dRfIGTvQgHpoV299SHbbmrzXdA3Uq/RBRfeSnT9piSg4K3U6Ee1WnETKgm/2lP7yVVmPe1l3GOI7QNFnqzJ6d6/AzhOsxvio/fHV9P5hd0qNTnU1J2SjzgmEOY6vCL8cDjb4SmjsJ6l5DSZT4JzQD30DWJyZDEsiMITQMfInTmu4uSzldpvpeEDkh3EPqDJBPwTYRhapvFsrcAe5KY4zsPN8Ic0n8rKTuEcLB1WjevN7PfgaqdB4hElUsdoYPTUELVys3u/ttsowuqPm6uQkqroMxsZ8LO+xvu/sPsIuuemRXGhu7n7s/F9izzrrb+PwKL3P3kku36VVt7T8xsnMdx4Wa2GyGRPUKoYp9OmLf5V4RpPr/h7renHN+OhPbGD3uoqq0DvPBbMLNfAu3u/mEzOxCYm8XnktiH7EqoXn6K0Dny4VgFfRqwljBN6vK04+tO6T4l9jG5Gvicu/81lm1OOCDbk9DU9Z0sYi1Vl3UAUhnxR2OEgeQNhGqih4Bfm9m+mQYX9YfEC+Chw4aZ2SVm9hZ3f5wwh/N7zeyNWcfXjRcIE0ocAuve50J7NIRquBdLNxogifc44LexMxCEaS7XEHp2z3P3owlnlu8jVDe+z8wGpRzm/wi/yYNh3ftuZjYkLn+CMAoBd787cRCdCjNrKMQVk9ljhOs1jwE+b2ZvcPe/EKrvtwC+l2Z8PYkHyW5mm8cEC6GW57/Ax+NBD+7+CmEK0c8A08zsPZkEXEJnvgNI7KF4pru/Mz6+klA9NJFQ1ZWrGbjyJh68EH/QRxMOYP5JmJzBCJMgPOruP8qkg0Y3Eh2uzgSOIRzx31myzu2E2ZEu6S+1D+WKM0MdQRjLeyNhLO+fCcNkFrn7KXG9NwPvJzQfLM4gzqmEs8kT3f36kmW3Ag+4+9lZfT4WZv86hdAhch6h+ns7wvDEpwmX2lsYO2s+41XuGV4uM9uLcKY7lNB2fiWhivkXhET8MuGAYTdC9fkcwsxcl6QebInMj15k0xWOWBNWxxtm9hNC4t0nJonjzew1KYfYr3gU7/+CMOtTB+GH+wbCZPHTzGznPCReKKpNuInQg/wSM/uUme1gZq81s58SrmJ1ecn6A4K7/9fdryAMmxtJGLf7bcIY861jNS7uXmg2SD3xRnMIyfcqMzvDzN5mZrub2RxCR6fzYpypfT5mdpWZTYsP/48wO9kQwqxsswg1Kp8jXDThdDPb3d3/L+vEGw8UCj3IryaMST4L2JXw+RfmMJ9LuJ72MkKnsP8RakVGZBD2enTm28/F6p8JsV1mPKFjx78ISeOdHsbsfYHQmePDXqXxvANFrC1wdz/JzF5HGD70BGHKxDMI89reQpgm09NOZt20ca17HNu7jiS0zb1IqG5eSZhnN5vhFCnK+5A2MxtGuLDJmYRhRU8SJgE5KovPx8wuJHxHlgIfd/fDY/k8QpI6xMP44vGE4Wqfdfdn04pvQ+Jv80ygxd1PjWVvIlSXryBM9/r3xPqDCdXOXyNcQjLzueOVfPs5MzuJcFZzgLvfY2YfJhxlf5rQA/Zgws4o1XGN/YUVT0IyhLDzvoLQTngPYUjCv939yrjOqYQp9p7IKORCVWuTuz+SrCpPLN+BUNXWSoi90/rxBBqbwszOJ0wt2UG4JvUrGYe0joUJH0YQhsC0xGaDqn4+3VVnx+/ykcQqZnc/IdaY7UW4zGgjsJu7/83i5BvViq+3zGw7wklGK7C7xwk+YvPCdMLZ7zfd/e+xhvB4wnjvw919QUZhF1Hy7Ufijrau9OjYzL5N+MK9z93/aGZHEmaneYXQ/nGuZ3hlnbwq7PDi+7odYSakx8yskXC949cSquK2BKa5+8838HRVV6huI7Rrtnu8IkvJ2W93O9kB0au5HCXvxduBpe7+ZMZhbVCa7bxmNtrd/xvv70aorj2b0K+hkdBxb794Jn4WocniZGB1lk0W3X2Hzey1hE6ltwOfKuwXzWx/wpCjc5LbJF97Hij59gNmtgXQWTh6j8likrvPT6zzXUK1yiExAW9O6GXZqI5WxUo6VtURznBbiZfUI84AFavbPkZoA7uLMDNSKjNXlcRbmDKvMPXfOEKv9q+5+6w0Y+kPBlqnskoxszMI06HeS+gRfB9hiNqJhJ7ybwOmuvtdZvY5wpniOz3ly0GWSnz/dyC07T8PPOnuT5hZM2Fmt18RYi89MSka1pUnSr45FxPv9wlVLJe4+8tm9mlCu940d/99Yt0fEq6r+VF3/2MmAeeYmQ33eI3RRC/hmwmz9XwMeBOhx+da4LuFnU6syr/P3f+dUeiY2VhCB7Bvufu9ZjaFcDBwnmo1pBwxeY0lJLB3EL7nBxHaThcTLvV5KGFfMxY4NuumqsTv9A2EKyg9TWhKeJ5Qo/dg/G3cT7hs5hH9pZZHvZ1zzt1fIlx78g3ApyxMnn87YRjMDDM7OLH67YS2jtmx6lSi2M52k5kdA+vOeocQhhB9x907PQzKP50wL/IHCtu6+41ZJF6L4sND4u0HZnYs4VKQLwF7xHXru30Skcjdn3T3P7n7+e7+fnc/gjDxyDTCfOTfI8yAdjJwYNaJF9b9TscQrj39PXd/C6FJaB/gYjN7s7svI4zsGLyBp8odJd8cKuxwY5UJ7n4uYSjA/oQhFC8Rpse7BzjTzA6Jm25POHPbz93b0o475+oIE9tPj23iEHp07kSYhB0ADxNq/Bw4IOuEFqvKNo/3f0jXnLqvBXYhnPl+1czGDuRezFJZyf2LhwtQfIEwpOgU4GV3f8YznsHKuoYTjSAMdbrK3S+Oiy8l/Jb/DZxnZm9z98fd/b2e8gQlfdEvgqwlJe1Vw8xsKwB3P58wecDbCUemrxImzP898Esz+x2henqh52Q4QB6Y2ZiYbP9HOLK/A/iSmX0wvs8zgAlmdmJisy0IF4PPtE3GzDYDfmFmV8cd5jWEqrdHgR8ShtHsRthxipSlsH8pVM+6+62ESx0eSg7OHuM+sCNWNV9MGDo0Jy67jTB5ymGEoVqvBabEZYWTlX5R7Vw6SYNkqKSn5lWEM9nBZnaju1/p7uebWSchAQNc4eFalX8kDImZ7u7/yib63DqOMAPSIMJEFFfG8i+YWRtwM2GSg+PN7GOE3pPHEIZmZTa/bny4mtDp5SrCRe//TrwWrLvfZmYfBD4C3JB2nDJwxP3OL83sDndvzUEsbmbbEHpi3+Pui+KyzQmTZlwcV28CLiLMwtVvkm6BOlzlREnivZVw9nUWsa0XOM7jNVgtTJpxAGEGl2tdE2dskJmdS5ha7irCtHNbEKrv3wec4e53xp7NnyJMqPEHz2YKwkKvztcSdizD3f0vZjYU+CyhXe4DwGaEzjA3lW6bdswycGTVS7z0/1qYLOU8QtPKIe7eZmGs7jaEmp8FhCFQWxNm8GvvbihS3unMNycSifdnwPbuvnd8/CCho81wMzvAw2Tx3zOzdsL1QNea2Q/IaXf6LBUSkrufbmbfIlwQHEICviLeP8fMhiXavtKMr3CUXxj61GFmexB2MA8CB1uYHvLqWOsxljBE5AxCL9WbCs+hxCt9lfb+o5Awu/m/mwP1hE5VRwM/8TAByX/M7OuEIVGvAF+KibdfHnjqzDdHYlXLw4QJ4r/h7q+Y2baEKeCuJ3wR7yAMJWo1s+mE2ZZyMcl5niTOIpMzWH2LMMxiJl1nwCcQenx+0d1/lXKM27n7M/G+EWY9mgdc5+4XxTavLxImSjk7dgYj9nC/uz/ucESg6Pc5gtDePDre5hDG1K8mTGm5M3BlT79N68czt6nDVY54mCLtoHj7moW5Su8DZrj7x4DxhKEAH4vrX6bEu774g+yICW2imb0bwN2/Sqiq/zThQOYlwgTys4CFKce4G+Fyjx+KsTmhs0sr4eALD+N3vwFMIFyRh1h+Z3x9Gl4k/U6iQ9VIQh+L1xHG7bYSEvEsQkeqbwL/IPTHeH93z9VfEy/ozDeXYtXjzwjDYC529y8nlt0A/Nrdf5JVfP1BbCP6G+FH/QZC0v2lu99iZucRqrTmANcBHWm2F8WDgm0IU4JOBi5095tiMl1EuOzd2Yn1TyfMvXtyWjGKVFP8ff6aMFPVCYnyDxCG/jUAUwnj2U8kTIDzNXe/N/1oq0Nnvjnk7gsJHWv+CXRavBRgHA5zAGGIiZSwcIm0QrvtTOBf7n6Iu48h1CYULmb+NUKSO4Iw/WaaifcAQs3Fi4Sx2smhTx2Eo/39LMxiVvCGuL7IQLE1YS7p82HdRU1w99uAHxNOPA6MozfmEMbe/zWbUKtDHa5yyt3/aWEKwZ8D7Wa2GjiVMATm8Wyjy61XCTNWQegR/E1Yd5nA5cApcdz0Cnf/vJk1ebjGZ5reT+h5vYb1hz6tAH5K6Ol8UjzYeo5QBffRlOMUqaZGYAxxEhlCx9FC58FbzeyjhGF0N3q4CtECGFgXCVHyzTF3X2hmRwN3Ei4Uvr/n5HJYWethWMTThLPZCwjTbB4WO6XtDewbe0Z+kdCOdI27t6QaNODup8WhT58m1Dz9gpCAjTDHbkfszX4joTf7f4Db+nOvTpFu/I+Qfw4G7vc4M5WFi4esJlyLeXjpRgMl8YKSb+55uGbr28Ld7Cb2z5vE0KzkZcJ+R5ilB8KkFF8iTE23o4dLpH2GcAZ5YNrxQtlDn86ycAGImwjTSRZtm3LIIlXh7i9YuGTh983s3+5+fUysq+Mq4whXKxqwlHz7Ac/wwu15ZvESaWaWvETaPma2J/BbQu/w3YDbzWwRoYfzB9x9SQaxFl2H2d2/Gjt+Fdp2Cwm4EzjfzF7wxJWplHhlAJpDaNu9ysx2JnSKfIlwcZPXAUdlGFvVqbez9FvW/SXS3gVcSJgdbDChvfRwQue1R9NqLy+ZsawhVhvvCOxKmB7y2rjsG4Qez4Wxx1sB7yFMLKCEKwOamQ0DPkxocnHCfM2vAEfF2qoBW+Oj5CsDShyqcBFhrOCl7v5qBjEUZq4a7O5rYtkbCBfB+A3hYOEhQmeSm+MZ8BsJczRfWxi7OJB3PCJJFi75OQJYBbTE30+/nUCjHKp2ln4vkezqPFxwwAkJeIiZXejur6QZTyEWYK6FC2T8mNAJ7AIP00RuSejF/Le4/tfM7DJgz+TORolXaoW7v0hiOF38TQ/YxAtKvjIAFKp3vesSab8ys8GE2aEuySimTjN7ElgT7w8jnI1DOPv9pbtfbGbjgKXuPj1OviFS87oZyTDgaJINGXDiUfMvgbd6Sld86iFxPkHo5AVhDPI0M7sfeMzdp8Tys4lTR8YzZiVgkRqg5CsDTuKoeUWa/9PMBpvZToniucCweP+XhIt+t7v7cQBmdi2hw9ityedJJ2IRyZKqnWXASjORxTbeK4ADzeyvhParRcCk2Cv7BsKY493M7AHgX4TEu3/hIglq4xWpHertLFIhFi4Cvg2wB/A+wtCJo4HvEKa6bCBMe/lOwpCK+2PiHdC9OkVkfUq+IlVkZocCFwM/Ai4v7XmtM16R2qRqZ5EKKxn69KvYh+piYLiZfdvdWwvrKvGK1CYlX5EK62Ho01DCTD6pdQITkfxStbNIlZVegamHKzKJSA1R8hUREUmZxvmKiIikTMlXREQkZUq+IiIiKVPyFRERSZmSr4iISMqUfEVERFKm5CsiIpIyJV8REZGUKfmKDHBmNtvMbu+mfB8zczNrziAskZqm5CsiIpIyJV8RASCeBRdur5rZPDObkFhuZvYlM3vczNrMbKGZfayH7Utvx2XyokRySslXRJJOALYF9gMGEy6FWHAuMBX4DLAb8C3gSjN7X1y+beIGcFTi8Y3VDlykP9ElBUUk6WV3f87MWoFXiJdANLPhwKnAwe7+p7juv81sX0Iy/rW7P1d4kngN4xeTZSLSRclXRJJ+YmazgUbgX8CBsXw3YCjwOzNLXgptELA0zQBFBgIlXxFJ+iLwO2AkcCZwPfB2upqoDgWeLNlmbWrRiQwQSr4ikvScu/8LwMwuAuaa2dbAImA1MNbd/5BlgCIDgZKvSG0YaWZ7lZSNi393M7Pl8f4oM3sN4cz300ALoe2208wuAC6w0KB7DzACeDPQ6e4zq/4KRAYQJV+R2rA/sKCHZb8GJsf7V8W/rcBDwGHu3hnLzgD+C5wG/BD4H/B34LtViFdkQDN33/haIjJgmdlS4Dh3n5dxKCI1Q+N8RWQR4UxXRFKiM18REZGU6cxXREQkZUq+IiIiKVPyFRERSZmSr4iISMqUfEVERFKm5CsiIpKy/w/3azf9pT9kpQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "create_scatter_plot(\n",
    "    x='color',\n",
    "    y='temp',\n",
    "    xname='Цвет',\n",
    "    yname='Температура',\n",
    "    color='green',\n",
    "    x_rotation=45\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "d2a566bd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Red              112\n",
       "Blue              56\n",
       "Blue White        41\n",
       "Yellow White      12\n",
       "White             10\n",
       "Yellowish          3\n",
       "Orange             2\n",
       "Whitish            2\n",
       "Yellow Orange      1\n",
       "Orange Red         1\n",
       "Name: color, dtype: int64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Количество звезд по цвету\n",
    "df_stars['color'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a59d050a",
   "metadata": {},
   "source": [
    "В значительной степени зависит температура звезды от ее цвета. Так, наименьший разброс в температурах между звездами таких цветов, как: красный, оранжево-красный, оранжевый, желтый, желто-оранжевый, желто-белый и белый. Однако, в этом плане необходимо учитывать их количество в выборке. Крайне маленькая выборка приходится на звезды желтого, оранжевого, оранжево-красного и желто-оранжевого цветов (не более 3). \n",
    "\n",
    "Ввиду этого, можно скорее проследить корреляцию между теми звездами, цвета которых больше представлены в выборке, и температура которых не сильно варьируется. К таким можно отнести: \n",
    "- Красный (112 объектов). Температура: от около 2 500 до 7 500;\n",
    "- Белый (12 объектов). Температура: от около 7 500 до 15 000;\n",
    "- Желто-белый (12 объектов). Температура: от 5 000 до примерно 13 000."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2431f1c0",
   "metadata": {},
   "source": [
    "<a name='r_t_ratio'></a>\n",
    "#### 2. 3. 4. Корреляция между радиусом звезды и температурой\n",
    "[Введение](#introduction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "63f75bed",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "create_scatter_plot(\n",
    "    x='radius',\n",
    "    y='temp',\n",
    "    xname='Радиус',\n",
    "    yname='Температура',\n",
    "    color='lightcoral',\n",
    "    logx=True\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b392398f",
   "metadata": {},
   "source": [
    "В соответствии с графиком можно заметить, что корреляция между радиусом звезды и ее температурой не столь четко прослеживается. Однако, звезды, чей радиус находится в районе от 0.1 до 1 (относительно радиуса Солнца), имеют примерно одинаковую температуру в районе около 3 500 - 4 000 Кельвинов. В остальных же случаях наблюдается сильный разброс значений."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2ae45f7c",
   "metadata": {},
   "source": [
    "<a name='m_t_ratio'></a>\n",
    "#### 2. 3. 5. Корреляция между абсолютной звездной величиной и температурой \n",
    "[Введение](#introduction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "3c6c3dae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "create_scatter_plot(\n",
    "    x='magnitude',\n",
    "    y='temp',\n",
    "    xname='Абсолютная звездная величина',\n",
    "    yname='Температура',\n",
    "    color='c'\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "78943b2d",
   "metadata": {},
   "source": [
    "Заметно, что есть разброс объектов, температура которых не превышает и 5 000 Кельвинов, но абсолютная звездная величина (блеск) разнится от менее -10 до 20. Также виден график ветви параболы в промежутке от -5 до 10 абсолютной звездной величины."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f56fbb81",
   "metadata": {},
   "source": [
    "<a name='mv_t_ratio'></a>\n",
    "#### 2. 3. 6. Корреляция между абсолютной звездной величиной и типом\n",
    "[Введение](#introduction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "9ed9d340",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "create_scatter_plot(\n",
    "    x='magnitude',\n",
    "    y='type',\n",
    "    xname='Абсолютная звездная величина',\n",
    "    yname='Тип',\n",
    "    color='m'\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5df7efdb",
   "metadata": {},
   "source": [
    "Отчетлива видна корреляция между типом звезды и ее абсолютной звездной величной. Получается, что во многих случаях блеск звезды коррелирует с ее типом, но это не относится к 1 и 2 типам - Красным и белым карликам, - значения абсолютной звездной величины которых находятся в районе от 10 до 15."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51fe2f52",
   "metadata": {},
   "source": [
    "<a name='phik_corr'></a>\n",
    "### 2. 4. Корреляция phik\n",
    "[Введение](#introduction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "4e9fdf69",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "interval columns not set, guessing: ['temp', 'luminosity', 'radius', 'magnitude', 'type']\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAdUAAAFgCAYAAADtvuMxAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAAsTAAALEwEAmpwYAABlV0lEQVR4nO3dd3hU1dbA4d9KA9JIQk1CCUjonUgTQUGQKvdTUREVEHu79nItKLZr7xdFReDaxQIqCiJ4BZEOIr1jCiWkEEKAkGR9f8wkJCGBBGcyk7Ben3mcc/Y+Z9aGkDV7n332EVXFGGOMMX+fj6cDMMYYY6oKS6rGGGOMi1hSNcYYY1zEkqoxxhjjIpZUjTHGGBexpGqMMca4iCVVYyoREdkpIve64Dy/iMibrojJGHOcn6cDMMa4j4iMAd5U1eBiRRcDxyo+ImOqNuupGlOBRCSglP3+FRmHqqaq6sGK/ExjzgSWVI05BXG4R0S2iMhREUkQkWedZe1EZK6IHBaRVBGZIiI1Cx07RUS+E5EHRCQBSBCRGBFRERkpIvNE5DBwo7P+WBFZLyJHRGSziNwlIqX+OxWRu0VkjYgcEpFEEXlPRMKcZecBHwBBzs9TEXncWVZk+FdEwkVkqoikOdsyV0TaFCofIyKZItJPRNY6P2++iDRx3Z+0MZWfJVVjTu0Z4FHgWaANMAKIF5EgYDaQCXQF/g/oCUwudnwfoD0wEOhXaP+zwH+A1sA3InK987MeA1oB9wAPALecJLY84E5nXFc643jDWbbIWZYFRDpfL5ZynilAN2C48xxZwI8iUqNQnWrAQ8C1QA8gDHj7JLEZc+ZRVXvZy16lvIBg4AhwUwll1wMHgJBC+84DFGjm3J4CJAPVCtWJcda5p9j5/gKuLrbvTmB9oe2dwL0niXcgcBTwcW6PATJLqPcLjmutALHOeHoXKq/pbNt1hc6jQItCdUY5P0s8/fdkL3t5y8smKhlzcq1x9NB+LqGsFbBGi16bXISj99ga2Orct1ZVj5Zw/PL8NyJSB2gIvCMiEwvV8QOktOBEpC+O3mMrHInQFwgA6gNJJ21Z0XbkAb/n71DVAyLyp7Md+Y6q6qZC20nOzwoHUsv4WcZUaZZUjXGPwo9/OlRKncL78y/F3IQjMZ+SiDQGvgfexTFknAJ0Bj7BkexcoXA7ckops8tIxjjZPwZjTm4DjiHOfqWUtRORkEL7euL4d7WhPB+iqntx9PzOUtWtxV+lHBaHI3nepaq/q+pmIKpYnWwcvdeT2eCMuUf+DhEJBdoB68vTDmPOdNZTNeYkVPWgiLwGPCsiR4FfgVpAF2Aq8AQwTUQewzEM+g7w1UkS4cmMB94QkXRgFuCPo+cZrarPllB/C45keKeIfAV0x3ENtrCdQHUR6Q+sArJUNatYG7eIyAwcQ883AOnA00AG8PFptMOYM5b1VI05tYeA53DMAN4AfAk0cCanC4FQYCkwA8d1yWtP50NU9T3nsVcDfwALgBuAHaXUXwP8E7gbR4/yOuDeYnUW4Zih+wmOCVP3l/LxY51tmOn8fyAwUFUPn05bjDlTiaqeupYxxhhjTsl6qsYYY4yLWFI1xhhzRhKRySKyT0TWllIuIvK6iGx1rlzW+VTntKRqjDHmTDUFx4IppRmEY3GUWBzzGyaepC5gSdUYY8wZSlV/5eQLlwwHpqnDYiBMRCJPdk67paaY2rVra0xMjKfDMMaYSmnFihX7VbWOK88pjcKUI8XXHjmF5EPrcCwxmm+Sqk4q50dHA/GFthOc+3aXdoAl1WJiYmJYcXbV/GPRiYsBeHPNzR6OxH1ua+8YnRnx/RjPBuImXwyZAsCmzq08G4ibtFjpWDNje8brHo7EPZqG3gHA2J/GeTgS9/ig//uIyC6Xn/hIDlzStnzHvL3kiKrGuTyWU6ia2cMYY0yVIj6lLoFdIhfdLJqIY03ufA2c+0pl11SNMcZ4PfGRcr1cZCZwjXMWcHfggKqWOvQL1lM1xhjj7aT8PdUynVbkExyPa6wtIgk4lgr1B1DVt3EsFzoYxxOnsnCsPHZSllSNMcZ4PXckVVUdeYpyBW4tzzktqRpjjPFqgiDi+qTqDpZUjTHGeDc3Df+6gyVVY4wxXs+SqjHGGOMK1lM1xhhjXMeSqjHGGOMCgkvvPXUrS6rGGGO8mw3/GmOMMa5jSdUYY4xxEbtP1RhjjHEFG/41xhhjXMMmKhljjDGuYj1V8/7VDzO03TnsO5hGuydHlVjntcvuZnCbHmRlH2XMtCdZFb8JgGu6D+aRQY6HITz1wwdMWzyrwuIuj0bBrTk3+jIEYX3qb6xMnlOkvFfkpUQHNwfA3yeAGn4hvLvuHkL8IxgUcyOC4CO+rNn/C+tSF3iiCSfVsU47xra+Eh/x4ef4X/lm2/dFymtXj+DWjtcT5BeIj/jw0cYvWJW8hva12zCq5Qj8xJcczeW/Gz5jbcoGD7WidAsyMnk6YR95qlxaK4wb6tcqUr4sM4tnE/ay6fBRXoqJYmB4aEHZdVvj+SPrMJ2DavDOWQ2Ln9pr/G/uBp584Ctyc/O4/Jru3HR3/yLl0z9awnOPzqBeVBgAV19/LpeP7gHAc4/NZP6cdQDcdt+FDL2kc4XGXhZta7XlyhYj8RHh18QFzNr5Q5HyiOoRXNdmHIF+gfiIMH3rl6zZ/ydB/kHc2v4WmoTG8FvSb3y46WMPtaDsLKlWEBF5HMhU1Rc9HUthU37/njd/mc60MY+VWD6oTQ9i6zYkdvwIujVpw8SR99P9+XGEB4Yyfsg44p4di6KseGgKM9csID3rYAW34OQEoU/0FczY8TqZx9K4rNmD7MhYQ9rRPQV1Fu6eXvC+fa3zqF3D8cv3UM4Bpm99gTzNwd+nGiObP8rOjDUcyjlQ4e0ojQ/CuDZX8+SSF0g9ksqzvcazfO8qEjKTCupcEnsRvyctZc5f82kQHMVDZ9/NrfPvJSP7IP9e9ippR9NpGBzNI93u5caf7/Jga06Uq8qE+L1MbtaQev7+jNi0k741g2lWo1pBnUh/P55tHMnkvaknHD+uXgSH8/L4bH96BUZdPrm5eTx+zxdM/eYW6keH8X/nv0S/we2IbVm/SL0hF3fm8RcvLbJv/ux1rPsjnu8W3k/20RyuHPIGffq3JiS0ekU24aQE4eqWo3hx5UukHknjsW6Psjp5NUmHjj/uc1iToSzbu4z5Cb8QFRTJXZ3u5L6FD3As9xhfb/ua6OBoGgRFe7AVZVdZkuoZ95ByEamQLxILtq4m9VBGqeXDO/Qu6IEu2bGOsMBg6ofW4sLW3fhpw1LSsjJIzzrITxuWMrB194oIuVzqBcZwIDuZjOz95GkuW9KX0zS0Q6n1Y8Pi2JK+DIA8zSVPcwDwFT8E7/vH0iysKXuy9rLvcDI5mstvSUuIq9epSB1VpYZfDQAC/WqQdjQNgJ0Zf5F2NB2A+MxEAnz88fPxru+va7KO0KhaAA2rBRDgIwwOD+XnA5lF6jSoFkCLGtUpadJlj5Aggny8+9fHHyt20bhpHRo1qU1AgB9DL+7M3O//LNOxWzbu4exzmuHn50tgUDVatoni17neNdrQtGZT9mXtI/nwfnI1l6V7ltKpTqditY7/jNbwCyTd+XOZnZfNlvStHMvNqdigT5d47CHl5ea1/ypE5BoRWSMif4jIf0UkRkTmOff9LCKNSjimo4gsdtb5WkTCnft/EZFXRWQ58M8Kb0wJosPqEJ+2r2A7IW0f0WF1St3vbYL8wzh4LK1gO/NYGkH+YSXWDfGPIDSgNgmZmwr2BfuHc0Xsw4xu9Qwrk+d4VS8VIKJ6OCmHj/fQUo+kUat6eJE6n2/5ht7RPXi778s81PVuJq/98ITzdK8fx/aMXeTkedcvr73Zx4gMOJ7o6wf4sffYMQ9G5Hp7kw4QGR1WsF0/Ooy9u0/8Oftx5h8M7vlvbr16MkkJjp/pVm2j+XXuBg5nZZOaksniBVvZnZh2wrGeFF4tjNSjhX5Gj6YRXi2sSJ1vts2kR/3uvHTuC9zV6Z98uNH7h3lLkj9RqTIkVe/6+uwkIm2AR4CeqrpfRCKAqcBUVZ0qItcCrwP/KHboNOB2Vf2fiEzA8RT3O51lAaoaV8rn3QDcANCoUSMg0sUtOrPFhsWx7cBKFC3Yl3ksjU+3PE2QX00Gx9zE1gMrOZzjXUPcp9IrqjvzE37jux0/0jzsLG7veAN3//pIQTsbBEcxquVlPLX0BQ9HakrTb1Bbhl3ahWrV/Ph48m/cd9NHfPTdbZzbryVrVv7FiAGvElEriE5dY/D19do+SKm61e/Gwt2/MXvXHM6qeRbXt72OR39/rMi/xUqhEk1U8tafkr7AF6q6H0BVU4EeQP7XrP8CvQofICI1gTBV/Z9z11Sgd6Eqn5X2Yao6SVXjVDWuTp2K6RUmpifTMLxuwXaD8LokpieXut/bHDqWToj/8Z5bsH84h46ll1g3NiyOzenLSz5PzgFSjiQRFdTMHWGettQjadSqEVGwHVE9nJQjRXsqfRv25vfdSwHYnL4Nf19/QgKCC+rf1+UO3vxjEnuzvO/vr16AP7uzj/ee92TnUM/f34MRuV69qJrsTkwv2N6TmE69yJpF6oRHBFGtmqNvcfnoHqz9I76g7Nb7BvDdwvuZNuNWVJWYZt41YpR2NJ2IaoV+RquFF1x2yNc7uhfL9jguu2w7sA1/H3+C/YMrMkyXEZFyvTzFW5OqOxzydACFzVyzgGu6DwagW5M2HDicyZ6MFGavX8KAVt0ICwwhLDCEAa26MXv9Eg9He6K9WbuoGVCXEP9a+IgvsWFx7MhYc0K9sGr1qOYbyJ6s7QX7gvzD8BXHL/BqvoFEBZ1F+tG9FRZ7WWw9sIPIoHrUrVEbP/HlnKhuLN+7qkid/YdTaFe7NQDRwZH4+/iTkX2QQL9AHjr7Lj7a9AWb0rZ6IvxTahdYnV1Hs0k4mk12njIrLYO+NSvnL9vStO/ciJ3bkonfmUJ2dg7ffbWSfoPbFqmzb8/x4eC5s/6kWfN6gGOSU1qq41fGxrWJbFyXxLl9W1Zc8GWwI2MHdQPrUbt6bXzFl671u7IqeXWROilHUmkV4fgZjQyKxN/Xn4PHKteIUD4b/v175gFfi8jLqpriHP5dBFyBo5c6CihyD4aqHhCRNBE5V1UXAFcD/yt+4ory8bUTOK95Z2oHhxH/zEzGf/cu/r6OP+53FnzNrLWLGNy2J1snTCcr+whjpz0FQFpWBk/OmsyyByYDMGHW+6RllT7hyVOUPH5N+pThTW9H8GF92iJSj+6ma72h7Dv8FzudCbZ5WBxbivVSI6rV55yYSwq2VyXPJeVIEt4kT/N4f+2HPNz1XnzEh/kJC0jITOLy5v/HtvQdLN+3mmkbPuXGdmMZ0mQAKLz1x3sADIzpR/3AeoxoNpwRzYYD8OTSF8jI9p5fZn4iPNqgHuO2xZOncEmtmsTWqMbru5NpG1idvjVD+PPQYW7bkUhGbi7zD2Ty5p79fNeqKQCjNu9i+9FssnLz6LN2K081qs+5od6VlP38fBn/4iWMuXgiebl5XHpVd5q3iuSVp2fRrlNDLhjcjqlv/8rPP6zF18+HmuGBPD/RcftbzrFcrhj4GgDBIdV5edLV+Pn5erI5J8jTPD7a9BH3dL4LH/FhQdJCkg4l8Y+zhrMzYyerk//gs82fMab1aAY07g8o76+dXHD8C72eo7pfDfzEl051O/HSypeLzBz2KpVo+FdUvXNsXURGA/cBucAqHNdHPwBqA8nAWFX9q/AtNSLSEXgbCAS2O+ukicgvwL2qWvIYZCFxcXG64mxv/a7x9+jExQC8ueZmD0fiPre1nwjAiO/HeDYQN/liyBQANnVu5dlA3KTFSscM2+0Zr3s4EvdoGnoHAGN/GufhSNzjg/7vIyIrSpu/croCGodr7YfOK9cxu2/+xuVxlIXXZg9VnYrjumhhfUuo93ih96uBE+4/UdXzXBudMcaYiuTld3AV8NqkaowxxgCIgK89pcYYY4xxDd9Kck3VkqoxxhivJlhP1RhjjHENgcqy9oYlVWOMMV5NEOupGmOMMa5gw7/GGGOMq4hNVDLGGGNcwtFT9XQUZWNJ1RhjjNeznqoxxhjjApXpmmolmaRsjDHGeD/rqRpjjPFqImLDv8YYY4yr2EQlY4wxxgUEm6hkjDHGuEYlekqN1z6k3FPi4uJ0+fJTPsvcGGNMCdzxkPKazWppzxcGl+uYHy/+0B5SbowxxhTnGP71dBRlY0m1BG+uudnTIbjFbe0nAiA3d/dwJO6jExcDUPe1YR6OxD32/fNbABbvedyzgbhJ9/qPAzAv4V+eDcRN+jZ4BoCNaS94OBL3aBl+n9vOXVmGfy2pGmOM8Wp2S40xxhjjIpVpRSVLqsYYY7xeZbmmWknCNMYYc6YS5y015XmV7bwyUEQ2ichWEXmwhPJGIjJfRFaJyBoROeUUZOupGmOM8XquvqYqIr7AW0B/IAFYJiIzVXV9oWqPAJ+r6kQRaQ3MAmJOdl5LqsYYY7yam66pdgW2qup2ABH5FBgOFE6qCoQ639cEkk51UkuqxhhjvJrIaV1TrS0ihVfymaSqkwptRwPxhbYTgG7FzvE4MEdEbgeCgAtO9aGWVI0xxni5sl8nLWS/C1ZUGglMUdWXRKQH8F8RaauqeaUdYEnVGGOMV3MM/7r8tIlAw0LbDZz7ChsHDARQ1d9FpDpQG9hX2klt9q8xxhiv5yNSrlcZLANiRaSJiAQAVwAzi9X5C+gHICKtgOpA8slOaj1VY4wxXs0dPVVVzRGR24DZgC8wWVXXicgEYLmqzgTuAd4VkbtwTFoao6d4Co0lVWOMMd5NwB2rFKrqLBy3yRTe91ih9+uBc8pzTkuqxhhjvJqbrqm6hSVVY4wxXs/HFtQ3xhhj/j7rqRoAGgW35tzoyxCE9am/sTJ5TpHyXpGXEh3cHAB/nwBq+IXw7rp7CPGPYFDMjQiCj/iyZv8vrEtd4IkmnNT7Vz/M0HbnsO9gGu2eHFVindcuu5vBbXqQlX2UMdOeZFX8JgCu6T6YRwaNBeCpHz5g2uJZJR7vSec37szTfa7HV3z4cN1PvLF8epHyBiF1eLX/P6ldI5S0I5ncMvsldmem0LZ2E57vewvBAYHkaS6vLP2cGVsWeqgVpft93lZefexHcnPzuOjKzlxze68T6syduY73X/wFEaFZm3pM+M8lBWWHDh5lZJ+36D2wJfc+c8olUT1i6fxtvPX4XPJy8xg8siMjb+1xQp1fvt3A1FcWICKc1aouD785HID+jf9Nk5Z1AKgbFcpTH4yo0NjLYsHcTTzzrxnk5SqXXt2V6+88/4Q6P3z9B2899xOI0LJtJC++eyUA33yynIkv/QzAzff04x8j/+4tnW7kpmuq7uDVSVVEwoArVfU/no6lvAShT/QVzNjxOpnH0ris2YPsyFhD2tE9BXUW7j7+S7p9rfOoXcNxy9ShnANM3/oCeZqDv081RjZ/lJ0ZaziUc6DC23EyU37/njd/mc60MY+VWD6oTQ9i6zYkdvwIujVpw8SR99P9+XGEB4Yyfsg44p4di6KseGgKM9csID3rYAW3oHQ+4sNz593EiK8fJSkzhTlXvMzs7UvYnHp8AZbHz72WLzbM47MN8+jVoD2P9BzNrXNeJivnKLfOeZkd6bupFxTB3JGvMH/XKjKyD3mwRUXl5ubx0r9m8dpnV1M3MpRrB73LuQNa0KRFnYI68dtTmPbGQt6ZeS2hYTVI3V80/knPzaNj98YVHXqZ5ebm8fojc3j+4yuoExnKLUOn0KN/LDHNaxfUSdiRyidv/c7rX11NSFgN0gq1MaC6H5Nmj/NE6GWSm5vHk/d/zftfXU+9qJpc1u8Nzh/YmmYt6xXU2bktmXdfnc9HP95CzbBAUpIzAUhPy+Kt5+fyxbw7EIFLz3+d8we1pmZYoKeac1KVqafq7fephgG3eDqI01EvMIYD2clkZO8nT3PZkr6cpqEdSq0fGxbHlvRlAORpLnmaA4Cv+CF450/Tgq2rST2UUWr58A69C3qgS3asIywwmPqhtbiwdTd+2rCUtKwM0rMO8tOGpQxs3b2iwi6TzvVi2XFgN7sy9nIsL4evN//KwKZFVzBrHtGIBfFrAFiYsKagfHt6EjvSdwOw91Aq+7MOUCswFG+yflUiDWIiiG4cjn+ALxcMb8OvszcWqTPjo5VcOuZsQsNqABBRO6igbOMfSaTuP0S3PmdVaNzlsXF1EtEx4UQ523j+Ra1YNGdzkTrff7yai0Z3JsTZxvBCbfR2a1bE06hJbRrG1CIgwI/BF3dg3g/ritT5YtpSRo7rUZAsa9UJBuC3eZvoeV4sYeGB1AwLpOd5sSz8eVOFt6E83HCfqnvi9Ngnl82/gbNEZLWIfCEi/8gvEJGPRGS4iIwRkRki8ouIbBGR8YXqXCUiS53Hv+N8KkGFCPIP4+CxtILtzGNpBPmHlVg3xD+C0IDaJGQe/6EO9g/nitiHGd3qGVYmz/G6XmpZRIfVIT7t+MIjCWn7iA6rU+p+b1I/uBaJB/cXbO/OTCEyuFaROuv272BIM8dw4pCzehBSLZDw6iFF6nSqF4u/rx870/fgTZL3HKRu9PFEXzcylOQ9RUcK4rel8Nf2FG64aDLXDXmP3+dtBSAvT3n9iTnc/tiACo25vPbvyaRO1PE21okMYX+xNiZsTyVheyp3/N80brtoKkvnbysoyz6aw82DP+C2i6ay8Meiydgb7Nt9gPrRNQu260XVZO/uol9yd23bz85t+7ly4Ftc3v9NFsx1/I7Zm5RB/eiwoscmlf4F2dPye6rleXmKVw//Ag8CbVW1o4j0Ae4CvhGRmkBPYDRwFY6nDbQFsnA8vud74BBwOXCOqh4Tkf8Ao4BpxT9ERG4AbgBo1KiR+1tVTGxYHNsOrEQ5fk9x5rE0Pt3yNEF+NRkccxNbD6zkcI73DI8aeHzBZP593o1c0aofvyeuI+ngfnLzji8JWjcwnLcuvJvb57xa5O+2ssjJzSN+eyr/+XI0+3ZncPP/TeHDeTfz45dr6NkvlrpR3tX7Ph25uXkk7kjj5c9Hkbz7IHdd+iHv/XQdwTWr8/Hvt1InMoSkXWnce8UnNG1Zh6iYcE+HXC45Obns2r6fqd/exN6kA1w9ZCIzfrvb02GdFrum6mKq+j8R+Y+I1AEuAb50rogB8JOqpgCIyFdALyAH6IIjyQLUoJT1Gp1PLpgEEBcX55LffoeOpRPif/wfYLB/OIeOpZdYNzYsjv8lflryeXIOkHIkiaigZmw7sMoVoVWYxPRkGobXLdhuEF6XxPRkEtOTOa955yL7f9m80hMhlmpPZgrRIcevvUUG12J3ZkqROnsPpTL2+2cBCPKvztBmPQuumwYH1ODj4eN5ZtF/WbHH+4bV6tQPYV/i8Z7Jvt0Z1KlftJddNzKUNp2j8fP3JapROA2b1iJ+Rwprlyfwx5JdfDllGYcPZXPsWC6BQQHc8vApH+BRoWrXDya5UO8refdBahdrY53IUFp1jMLP35fIRmE0aBpBwo5UWnaMok6ko25U43A6dG/ElnV7vSqp1o2syZ7E4yNYe5MOUC+y6Bed+lE1ad+lEf7+vjRoHEFMszrs2rafelGhLF24vcixXXs1rbDYyyv/IeWVgbcP/xY3DUfPdCwwudD+4olQcYwYTFXVjs5XC1V9vGLChL1Zu6gZUJcQ/1r4iC+xYXHsyFhzQr2wavWo5hvInqzjP+BB/mH4ij8A1XwDiQo6i/SjeysqdJeZuWYB13R3zArt1qQNBw5nsicjhdnrlzCgVTfCAkMICwxhQKtuzF6/xMPRFrVq7xaahkXRKLQe/j5+/F/z3szevrRInYjqoQXXu++IG8En6+cC4O/jx5ShD/P5hnl8t3VRhcdeFq06RhO/I4Wkv9I4lp3L3BnrOPfCFkXq9B7YkpWLdgGQnpJF/PYUohuF88R/LuabFXfx9bI7uX38AAaN6OB1CRWgZYcoEnemsfuvdI5l5zJ/5gZ69o8tUuecAbGsXuxo44HULBK2pxLZOIyD6YfJPppTsH/d8gQax9Y+4TM8qV3nBuzavp+EXalkZ+cw66s/OH9g6yJ1+g1uy9LfHL9b0lIOsXNrMg1iIjinbwt+m7+ZA+lZHEjP4rf5mzmnb4uSPsZr+Ej5Xp7i7T3Vg0Dhr5ZTgKXAnmJPZ+8vIhHAYeAfwLU4hoJniMgrqrrPWR6iqrsqInAlj1+TPmV409sRfFiftojUo7vpWm8o+w7/xU5ngm0eFseW9OVFjo2oVp9zYo7furAqeS4pR075bNwK9/G1EziveWdqB4cR/8xMxn/3Lv6+jh+pdxZ8zay1ixjctidbJ0wnK/sIY6c9BUBaVgZPzprMsgcc34smzHqftCzvup6Tq3k8+MvbfPaPJ/AVHz5eP5dNqX/xQPdRrN67hdk7ltKzQVseOWc0qsrviet48JeJAAyP7UWPqDZEVA/hitb9ALhjzqus3b/Dk00qws/Ph3ueGcydIz8kL1cZekVHmraoy6Tn59OqQxTnXtiC7uefxdL/bWNk77fw8fXhtkf7UzPCO2eHlsTXz4fbn+zPA1d9Sl6uMujy9sS0qMMHL/5Ki/aR9BwQy9nnNWX5rzsY23cSvj4+3PBwX2qGB7JueQKvPPgj4iNonnLFrT2KzBr2Bn5+vjzy/HCuu/Q98nLzuHjU2cS2qs/rz8ymbacG9B3Uhl79mvPb/M0M7f4iPr4+3PvEEMIjHJOxbr73Ai7r9wYAt9x3AWHh3vt3W5lm/8op1gb2OBH5GGgP/KCq94nIj8A3qvq2s3wMjkRaE8ejez5U1SecZZcDD+HokR8DblXVxSf7vLi4OB0z+Ww3tcazbmvv+KUvN3vXTFtX0omOv966rw3zcCTuse+f3wKweM/jng3ETbrXfxyAeQn/8mwgbtK3wTMAbEx7wcORuEfL8PsQkRUueI5pEQ1b19G7P77k1BULubvTOy6Poyy8vaeKql6Z/15EAoFY4JNi1RJU9R8lHPsZ8JlbAzTGGONWIqf1kHKPqDTXVEXkAmAD8IaqVr77S4wxxpw2u6bqYqo6Fzhh+RZVnYLjWqsxxpgqqDJdU600SdUYY8yZy+5TNcYYY1zA0VOtHFnVkqoxxhjvZk+pMcYYY1zDrqkaY4wxLuTJJ8+UhyVVY4wxXs16qsYYY4wLWU/VGGOMcQERS6rGGGOMi4glVWOMMcYVBPCRyrGqriVVY4wxXs96qsYYY4yLWFI1xhhjXECk8lxT9fqHlFe0uLg4Xb58uafDMMaYSskdDymPbV9fX5t5dbmOGdLkRXtIuTHGGFOcY6JS5eipWlItwYjvx3g6BLf4YsgUAOq+NsyzgbjRvn9+C4Dc3N3DkbiHTlwMwLG82R6OxD38fS4EYOqGWzwciXuMbvUfoOq3zx0sqRpjjDEuIXZLjTHGGOMKNvxrjDHGuIotU2iMMca4hvVUjTHGGJexa6rGGGOMy/hgPVVjjDHmb7PhX2OMMcZlbPjXGGOMcYnK9JDyypH6jTHGmErAeqrGGGO8XmXpqVpSNcYY4/UqyzXVyhGlMcaYM5bgeJ5qeV5lOq/IQBHZJCJbReTBUupcJiLrRWSdiHx8qnNaT9UYY4zXc/V9qiLiC7wF9AcSgGUiMlNV1xeqEws8BJyjqmkiUvdU57Wkaowxxqu56T7VrsBWVd0OICKfAsOB9YXqXA+8pappAKq671QnteFfY4wx3k0c11TL8yqDaCC+0HaCc19hzYHmIvKbiCwWkYGnOqn1VN2oY512jG19JT7iw8/xv/LNtu+LlNeuHsGtHa8nyC8QH/Hho41fsCp5De1rt2FUyxH4iS85mst/N3zG2pQNHmpF6c5v3Jmn+1yPr/jw4bqfeGP59CLlDULq8Gr/f1K7RihpRzK5ZfZL7M5MoW3tJjzf9xaCAwLJ01xeWfo5M7Ys9FArSvf+1Q8ztN057DuYRrsnR5VY57XL7mZwmx5kZR9lzLQnWRW/CYBrug/mkUFjAXjqhw+YtnhWhcVdVrN/XM7dd00kLzePseMGcv8DlxcpnzZlDg8+8D5R0bUAuOWWYVx73SAAhg56mCVLNnLOOW345tsJFR57WUUFtaZrvRGICFvSF7E2ZU6R8rPrXkL9oOYA+EoANfxC+GTzvQBc0PBW6tRowt6sbcxLmFjhsZdFVW/fcWW/TlpIbRFZXmh7kqpOKuc5/IBY4DygAfCriLRT1fSTHeBVROQmIEtVp4nIGGCOqiaV8xw7gThV3e+GEMvEB2Fcm6t5cskLpB5J5dle41m+dxUJmcebcknsRfyetJQ5f82nQXAUD519N7fOv5eM7IP8e9mrpB1Np2FwNI90u5cbf77LU00pkY/48Nx5NzHi60dJykxhzhUvM3v7EjanHv/i9/i51/LFhnl8tmEevRq055Geo7l1zstk5Rzl1jkvsyN9N/WCIpg78hXm71pFRvYhD7boRFN+/543f5nOtDGPlVg+qE0PYus2JHb8CLo1acPEkffT/flxhAeGMn7IOOKeHYuirHhoCjPXLCA962AFt6B0ubm5/PP2t5g1+xkaNKhNj253MHRYd1q3blyk3ojLevPaG7eecPzd915KVtZR3pvkfV8W8glC9/qXM+ev18k6ls6QJg8Qf3ANB7L3FNRZtu/Lgvctw88jonqDgu21KXPx8wmgeVivigy7zKp6+woTQMo/+3e/qsadpDwRaFhou4FzX2EJwBJVPQbsEJHNOJLsstJO6nXDv6r6tqpOc26OAaI8GM5paxbWlD1Ze9l3OJkczeW3pCXE1etUpI6qUsOvBgCBfjVIO5oGwM6Mv0g7mg5AfGYiAT7++Pl41/efzvVi2XFgN7sy9nIsL4evN//KwKbditRpHtGIBfFrAFiYsKagfHt6EjvSdwOw91Aq+7MOUCswtGIbUAYLtq4m9VBGqeXDO/Qu6IEu2bGOsMBg6ofW4sLW3fhpw1LSsjJIzzrITxuWMrB194oKu0yWLd3EWWdF0rRpJAEB/lx2eR++nfl7mY/v268TISE13Bjh31e7RgwZ2clkHkshj1x2ZKygYUiHUus3CY1jR8bxjs2erE0cyztSEaGelqrevuJ8yvlfGSwDYkWkiYgEAFcAM4vV+QZHLxURqY1jOHj7yeM8BRGJEZGNIjJFRDaLyEcicoFzjHmLiHR1vn4XkVUiskhEWjiPDRSRz53Tkb8WkSUiEucsyxSRp0XkD+dYdT3n/sdF5F4RuRSIAz4SkdUiUkNEdjobhojEicgvzve1RGSOc8rze3B8mpiIXCUiS53neMc548vtIqqHk3I4tWA79UgataqHF6nz+ZZv6B3dg7f7vsxDXe9m8toPTzhP9/pxbM/YRU5ejttjLo/6wbVIPHh8IGB3ZgqRwbWK1Fm3fwdDmvUAYMhZPQipFkh49ZAidTrVi8Xf14+d6XuobKLD6hCfdnzeQkLaPqLD6pS635skJqbQoOHxmKKja5OUmHJCva+/Wkjnjjdx+YiniI9PrsgQ/7ZAvzAO5aQVbGcdSyPIr2aJdYP8IggOqMWeQ5sqKry/raq3ryhBxKdcr1NR1RzgNmA2sAH4XFXXicgEEbnIWW02kCIi64H5wH2qeuI/lELK2lNtBrwEtHS+rgR6AfcC/wI2AueqaifgMeAZ53G3AGmq2hp4FOhS6JxBwGJV7QD8imOWVeEGTweWA6NUtaOqHj5JfOOBharaBvgaaAQgIq2Ay3FMh+4I5AInXBwTkRtEZLmILE9OrrhfHL2iujM/4Tdumnc3zy59mds73oAUmjbeIDiKUS0vY9KfUyosJld6fMFkeka35eeRr9Ijui1JB/eTm5dXUF43MJy3Lrybf/70Gop6MFJTkiHDurNl+1RWrn6bCy7oxLixL3o6JLdpUrMLuzJWVdmfw8rePnHPRCVUdZaqNlfVs1T1aee+x1R1pvO9qurdqtpaVdup6qenOmdZk+oOVf1TVfOAdcDPqqrAn0AMUBP4QkTWAq8AbZzH9QI+dQa3FlhT6JzZwHfO9yuc5zldvYEPnZ/zPZD/9a0fjkS+TERWO7ebFj9YVSepapyqxtWp45oeReqRNGrViCjYjqgeTsqRtCJ1+jbsze+7lwKwOX0b/r7+hAQEF9S/r8sdvPnHJPZmeV8PYU9mCtEhtQu2I4NrsTuz6Be4vYdSGfv9s/T75E6e/f2/AAXXTYMDavDx8PE8s+i/rNhTOb89J6Yn0zD8+G1rDcLrkpieXOp+bxIdXYuEQj3PxMT9BROS8tWqFUq1agEAXHvdQFau2FKhMf5dWTnpBPkdHx0K9A/nUM6BEuvGFBsarQyqevuKEgSfcr08payffLTQ+7xC23k4Jjs9CcxX1bbAMKB6Gc55zJmYwdGDLMtFwxyOx1yWzxBgqrOn21FVW6jq42U47m/bemAHkUH1qFujNn7iyzlR3Vi+d1WROvsPp9CudmsAooMj8ffxJyP7IIF+gTx09l18tOkLNqVtrYhwy23V3i00DYuiUWg9/H38+L/mvZm9fWmROhHVQwt63nfEjeCT9XMB8PfxY8rQh/l8wzy+27qowmN3lZlrFnBN98EAdGvShgOHM9mTkcLs9UsY0KobYYEhhAWGMKBVN2avX+LhaIuKO7sFW7cmsWPHHrKzj/H5Z/9j6LCi13137z7+JenbmYtp2apRRYf5t+w/vIvQgLoE+9fCB1+ahHYh4eCaE+qFBtSjmk8gyYdPeqnM61T19hXnjp6qO7hq9ktNjs+aGlNo/2/AZcB8EWkNtCvneQ8ChS/C7cTR8/wBuKTQ/l9xDEk/JSKDgPyvbz8DM0TkFVXdJyIRQIiq7ipnHOWWp3m8v/ZDHu56Lz7iw/yEBSRkJnF58/9jW/oOlu9bzbQNn3Jju7EMaTIAFN764z0ABsb0o35gPUY0G86IZsMBeHLpC2Rke9HsUc3jwV/e5rN/PIGv+PDx+rlsSv2LB7qPYvXeLczesZSeDdryyDmjUVV+T1zHg784pu0Pj+1Fj6g2RFQP4YrW/QC4Y86rrN2/w5NNOsHH107gvOadqR0cRvwzMxn/3bv4+zr+ybyz4GtmrV3E4LY92TphOlnZRxg77SkA0rIyeHLWZJY9MBmACbPeJy2r9AlPnuDn58urr9/CkEEPk5ebx+ixA2jTJobHx0+jS5dYhl3UgzffmMF33y7Gz8+XiIgQ3pt8T8Hx5/e5h00bE8jMPEyTRlfxzrt3MuDCk020rHhKHkv2fMYFDW/DR3zYkv476dm76Vh7KClHdhGf+Sdw4gSefAMb303NgHr4+VTj0mZPs2j3hyQd8p5b26p6+4rzZO+zPOR4Z7GUCiIxwHfOXigiMsW5PT2/DMf10KnAIeB74CpVjRGRIOf+1jiuuzYFRqjqFhHJVNVg5zkvBYaq6hgReRzIVNUXReQSHNdnDwM9cExceh/IAH7BcdvMeSJSC/gEx427i4ABQBdV3S8il+NYZsoHOAbcqqqLS2tvXFycNnmibVn//CqVL4ZMAaDua8M8G4gb7fvntwDIzd4129ZVdKLjR/dY3mwPR+Ie/j4XAjB1wy0ejsQ9Rrf6D1C12yciK05xK0u5degcoz8seKRcx0QHX+/yOMrilD1VVd0JtC20PaaUsuaFDstv/REcCfaIiJwFzAV2OY8NLnSe6cB05/vHC+3/Ejh+oxUsKPY5+fVScCTSkuL/DPjsZG00xhjj3U7jPlWPcPfNj4E4hn79cVzfvEVVs938mcYYY6oUKeu9px7n1qSqqgdxDNkaY4wxp+U0V1TyCO9apscYY4wpTqTSPKTckqoxxhivJ1TIYnh/myVVY4wxXk2wnqoxxhjjMpXlPlVLqsYYY7ye9VSNMcYYFxDnU2oqA0uqxhhjvJ7dp2qMMca4hPVUjTHGGJfIf55qZWBJ1RhjjNez2b/GGGOMS9h9qsYYY4zLWE/VGGOMcYHKtKLSKR9SfqaJi4vT5cuXezoMY4yplNzxkPK4uBa6bPnb5TrGR/p650PKjTHGGE+TStL/s6Ragk2dW3k6BLdosXIDAIv3PO7ZQNyoe/3HATiWN9uzgbiJv8+FAMjN3T0ciXvoxMUAxGeWr1dSWTQMvgmAI08P93Ak7lH94RnuO7nmue/cLmRJ1RhjjJdTS6rGGGOMSyiWVI0xxhjXsJ6qMcYY4zp5llSNMcYY17CeqjHGGOMCasO/xhhjjOtYUjXGGGNcQe2aqjHGGOMy1lM1xhhjXMDuUzXGGGNcxSYqGWOMMS6jmuvpEMrEkqoxxhjvpjZRyRhjjHEdG/41xhhjXKHyXFP18XQAVdmCjEwGrt/OgHXbmLQn5YTyZZlZXLxxB21WbeTHtIwiZddtjefsNZu5cVt8RYVbbr/P28rlvd7k0h6vM+2NhSXWmTtzHSN7v8WVff7DY7d8WaTs0MGjXNT5ZV7816yKCLfcZv+4nDatxtGq+Vief+6zE8qnTZlDVL3Liet8C3Gdb2Hyez8UlA0d9DB1Ii7hH8Meq8iQy+X9qx9m7/Oz+PPRj0qt89pld7PliS/44+EP6dSwRcH+a7oPZvMTX7D5iS+4pvvgigj3tPzy0zrO6zSeczs8xlsvnfiM3S8+/J2OMfcxsOfTDOz5NJ9McfwcL/p1U8G+gT2fJrb27cz+dnUFR39qczbvo/2rP9Pm5bm88L8tJ5S/9ts2Or02j7PfmM+gyYvYlZZVpDzjyDHOen4Od367pqJCPn2aV76Xh1S6nqqInAfcq6pDReQioLWq/tuzUZ0oV5UJ8XuZ3Kwh9fz9GbFpJ31rBtOsRrWCOpH+fjzbOJLJe1NPOH5cvQgO5+Xx2f70Coy67HJz83jpX7N47bOrqRsZyrWD3uXcAS1o0qJOQZ347SlMe2Mh78y8ltCwGqTuP1TkHJOem0fH7o0rOvQyyc3N5Z+3v8Ws2c/QoEFtenS7g6HDutO6ddF4R1zWm9feuPWE4+++91Kyso7y3iTv/MIAMOX373nzl+lMG1Ny4h/UpgexdRsSO34E3Zq0YeLI++n+/DjCA0MZP2Qccc+ORVFWPDSFmWsWkJ51sIJbcHK5uXk8cs+nfDTjDiKjwxnW59/0H9Ke5i0ji9QbdkkXnnzpiiL7evZuwY+LHgYgPfUQ53Z8jN79WldY7GWRm6fc+e0avh/bg+jQGvR6+1eGtqpPq7ohBXU6Rtbkt5t7Exjgx6QlO3h49no+vCKuoPyJnzfSK6aWJ8IvJ+uplps4lCseVZ3pjQkVYE3WERpVC6BhtQACfITB4aH8fCCzSJ0G1QJoUaM6Iice3yMkiCAfr/nrOcH6VYk0iIkgunE4/gG+XDC8Db/O3likzoyPVnLpmLMJDasBQETtoIKyjX8kkbr/EN36nFWhcZfVsqWbOOusSJo2jSQgwJ/LLu/DtzN/L/Pxfft1IiSkhhsj/PsWbF1N6qGMUsuHd+jNtMWOLwVLdqwjLDCY+qG1uLB1N37asJS0rAzSsw7y04alDGzdvaLCLrPVy3cS07QOjZvUISDAj2GXxDHnuz/KfZ7vv1nJ+f3bUCMwwA1Rnr5lCWmcVSuIJhFBBPj5MKJdNN9t2FOkTp+mtQkMcPSdujaMIDHjcEHZysR09mUe5YJmdfB6imOiUnleHuLR39oiEiMim0RkGrAWeF9ElovIOhF5olC9gSKyUURWAhcX2j9GRN50vp8iIpcWKst0/j9SRH4VkdUislZEzq2Itu3NPkZkwPGBgPoBfuw9dqwiPrpCJO85SN3o0ILtupGhJO8p2lOJ35bCX9tTuOGiyVw35D1+n7cVgLw85fUn5nD7YwMqNObySExMoUHD479soqNrk5R44hD+118tpHPHm7h8xFPExydXZIhuFx1Wh/i0fQXbCWn7iA6rU+p+b7NndzpR0eEF25HR4ezdnX5CvVkzVjGg+1PceNUkkhJOHDX69svlXHTp2e4M9bQkZRyhQc3jX9yiQ6sXSZrFTVmxiwtj6wGOf4MP/rCOZwe2cXucLlNJhn+9oSsUC/xHVdsA96hqHNAe6CMi7UWkOvAuMAzoAtQv5/mvBGarakegA7C6eAURucGZzJcnJ1etX4yelJObR/z2VP7z5WgmTLyEf9/3LQcPHOHLKcvo2S+WulGhpz6JFxsyrDtbtk9l5eq3ueCCTowb+6KnQzLldMGgdixa9xRzFj/CuX1bcfeNU4uU791zgI3rkuhzgXcN/ZbXJ6vjWZl4gLvOdYwMvbN0Jxe2qFskKXs3rTRJ1Ruuqe5S1cXO95eJyA044ooEWuNI/DtUdQuAiHwI3FCO8y8DJouIP/CNqq4uXkFVJwGTAOLi4pS8Q8WrlFu9AH92Z+cUbO/JzqGev//fPq+3qFM/hH2Jx4cO9+3OoE79kCJ16kaG0qZzNH7+vkQ1Cqdh01rE70hh7fIE/liyiy+nLOPwoWyOHcslMCiAWx6+oKKbUaro6FokFOp5JibuJyq66LWnWrWOfym49rqBPPTg+xUWX0VITE+mYXjdgu0G4XVJTE8mMT2Z85p3LrL/l80rPRHiSdWPDCMpMa1ge3diGvUiw4rUCa8VXPB+5OhzePbRr4qUf/fVCi4c1hF/f1+3xno6okKrk3DgeM80MeMI0aEnJsl5W5N57n9bmDPuHKr5Odqx5K9UftuVyqQlOzmUnUt2bh7BAX48daEXf3lwQ6IUkYHAa4Av8F5plxNF5BJgOnC2qi4/2Tm9oad6CEBEmgD3Av1UtT3wPVC9HOfJwdke57XZAABV/RXoDSQCU0TkGteFXrp2gdXZdTSbhKPZZOcps9Iy6Fsz+NQHVhKtOkYTvyOFpL/SOJady9wZ6zj3whZF6vQe2JKVi3YBkJ6SRfz2FKIbhfPEfy7mmxV38fWyO7l9/AAGjejgVQkVIO7sFmzdmsSOHXvIzj7G55/9j6HDil433L37+HDwtzMX07JVo4oO061mrllQMLO3W5M2HDicyZ6MFGavX8KAVt0ICwwhLDCEAa26MXv9Eg9He6IOXRqzY9s+/tq5n+zsHL79cjn9h7QvUmfvngMF73/6fg3NmhcdCJv5xTKGj4jDG8VFh7E15RA7Uw+RnZPHF38mMqRlvSJ1Vicd4LYZfzB9VFfqBh+fJDnlsi5sua8/m+7tz7MDW3NlxwZenlDV5ddURcQXeAsYhKMDN1JETvhDEJEQ4J9AmX7IvaGnmi8UR4I9ICL1cDT0F2AjECMiZ6nqNmBkKcfvxDE8/DlwEeAPICKNgQRVfVdEqgGdgWlubAcAfiI82qAe47bFk6dwSa2axNaoxuu7k2kbWJ2+NUP489BhbtuRSEZuLvMPZPLmnv1816opAKM272L70WyycvPos3YrTzWqz7mh3pOU/fx8uOeZwdw58kPycpWhV3SkaYu6THp+Pq06RHHuhS3ofv5ZLP3fNkb2fgsfXx9ue7Q/NSMCPR16mfj5+fLq67cwZNDD5OXmMXrsANq0ieHx8dPo0iWWYRf14M03ZvDdt4vx8/MlIiKE9ybfU3D8+X3uYdPGBDIzD9Ok0VW88+6dDLjQu345f3ztBM5r3pnawWHEPzOT8d+9i7+v41fCOwu+ZtbaRQxu25OtE6aTlX2EsdOeAiAtK4MnZ01m2QOTAZgw633Sskqf8OQpfn6+PPniFVz9jzfIzcvj8qt70qJVFC899S3tOjViwJAOfDBxPj/NWoOfnw9h4UG89PboguPjd6WQlJhG916xHmxF6fx8fXhlaDuGTV1Mbp4yuksjWtcLZcLcjXSODmNoq/r868d1HMrOYdSnjs5Vw7AaTL+qm4cjP02u76l2Bbaq6nYAEfkUGA6sL1bvSeA54L6ynFRU1ZVBlouIxADfqWpb5/YUoCcQDxwAZqrqFGcX/VUgC1gAnOW8pWYMEKeqtzkT8QygBvAjcKuqBovIaBx/GMeATOAaVd1RWkxxcXH6kQuGf71Ri5UbAFi853HPBuJG3es/DsCxvBPvSawK/H0uBEBu9r7Ztq6gEx1XguIz3/ZwJO7RMPgmAI48PdzDkbhH9YdnICIrnHNjXCaufUNd9u0/y3WMT8x9J43DObF1oKpe59y+GuimqrcVqtMZeFhVLxGRX3DcznnS4V+P9lRVdSfQttD2mFLq/Qi0LGH/FGCK8/1eoPBvmgec+6cCU4sfa4wxppI4vbV/a4tI4QQ4yTl/pkyclxFfBsaU50O9afjXGGOMKVleuUdV95+ix5wINCy03cC5L18Ijk7fL+JYTKA+MFNELjpZb9UbJioZY4wxFW0ZECsiTUQkALgCmJlfqKoHVLW2qsaoagywGDhpQgXrqRpjjKkMXLxKkqrmiMhtwGwct9RMVtV1IjIBWK6qM09+hpJZUjXGGOPd3PQ8VVWdBcwqtq/ExbBV9byynNOSqjHGGO9X/muqHmFJ1RhjjHfLX1C/ErCkaowxxsu5Z/jXHSypGmOM8X42/GuMMca4gA3/GmOMMa6i1lM1xhhjXMJ6qsYYY4wLWVI1xhhjXEHx5BPVysOSqjHGGO9mw7/GGGOMC1lSrbzyH+ZdVeU/yLsqy3+Yd1WV/zDvqir/Yd5VVfWHZ3g6hErGZv8aY4wxrmHDv5Xb9ozXPR2CWzQNvQOAeQn/8nAk7tO3wTMATN1wi4cjcY/Rrf4DQHzm2x6OxD3ye6hyc3cPR+Ie+SMMe7OmeDYQN6kXOMZ9J7ekaowxxriA2vCvMcYY4zrWUzXGGGNcxJKqMcYY4wI2/GuMMca4kPVUjTHGGBewW2qMMcYYV7HhX2OMMcZ1rKdqjDHGuICC5lpP1RhjjHENG/41xhhjXEAVrKdqjDHG/H0KqPVUjTHGGBdQrKdqjDHGuIQCuTb71xhjjHEBteFfA/+bu4EnH/iK3Nw8Lr+mOzfd3b9I+fSPlvDcozOoFxUGwNXXn8vlo3sA8NxjM5k/Zx0At913IUMv6VyhsZfF0vnbeOvxueTl5jF4ZEdG3trjhDq/fLuBqa8sQEQ4q1VdHn5zOAD9G/+bJi3rAFA3KpSnPhhRobGXRVRQa7rWG4GIsCV9EWtT5hQpP7vuJdQPag6ArwRQwy+ETzbfC8AFDW+lTo0m7M3axryEiRUee1n88tM6Hr//c3LzlCuuOYdb77mwSPkXH/7O0498RX3nz+foG/owckwvFv26iQkPTi+ot23zHt78YBwXDutYgdGf2vtXP8zQduew72Aa7Z4cVWKd1y67m8FtepCVfZQx055kVfwmAK7pPphHBo0F4KkfPmDa4lkVFnd5zJvzJ4/e/zG5uXmMGt2b2+8dUqT80/8uZMIjnxEZGQ7AtTf1Y9SYPgAkxKdwzy0fkJSYCiJ89NVdNGpcu8LbUCZVcfhXRDJVNfjvfqCIRAGvq+qlf/dchc45AfhVVeeKyJ3AJFXNctX5T0dubh6P3/MFU7+5hfrRYfzf+S/Rb3A7YlvWL1JvyMWdefzFon8U82evY90f8Xy38H6yj+Zw5ZA36NO/NSGh1SuyCSeVm5vH64/M4fmPr6BOZCi3DJ1Cj/6xxDQ//o8yYUcqn7z1O69/dTUhYTVI23+ooCyguh+TZo/zROhlIgjd61/OnL9eJ+tYOkOaPED8wTUcyN5TUGfZvi8L3rcMP4+I6g0KttemzMXPJ4DmYb0qMuwyy83N45F7PuWjGXcQGR3OsD7/pv+Q9jRvGVmk3rBLuvDkS1cU2dezdwt+XPQwAOmphzi342P07te6wmIvqym/f8+bv0xn2pjHSiwf1KYHsXUbEjt+BN2atGHiyPvp/vw4wgNDGT9kHHHPjkVRVjw0hZlrFpCedbCCW3Byubl5PHT3f/n823uJjI5g4LkTGDCkIy1aRRepN/ySrjz78tUnHH/79e9y533D6NOvDYcyjyA+UlGhn55K0lP1qegPVNUkVyZU5zkfU9W5zs07gUBXnv90/LFiF42b1qFRk9oEBPgx9OLOzP3+zzIdu2XjHs4+pxl+fr4EBlWjZZsofp27wc0Rl8/G1UlEx4QT1Tgc/wBfzr+oFYvmbC5S5/uPV3PR6M6EhNUAILx2kCdCPS21a8SQkZ1M5rEU8shlR8YKGoZ0KLV+k9A4dmQsL9jek7WJY3lHKiLU07J6+U5imtahcZM6BAT4MeySOOZ890e5z/P9Nys5v38bagQGuCHKv2fB1tWkHsootXx4h94FPdAlO9YRFhhM/dBaXNi6Gz9tWEpaVgbpWQf5acNSBrbuXlFhl9mq5dtp0rQujZvUJSDAj39c2pXZ360q07GbNiSSm5NHn35tAAgKrk5gYDV3hvv3OBd/KM/LU8qdVEXkPBH5rtD2myIyxvl+p4g8KyKrRWS5iHQWkdkisk1EbnLWiRGRtc73Y0TkKxH5UUS2iMjzhc47UkT+FJG1IvKcc5+viExx7vtTRO5y7p8iIpeKyB1AFDBfROaLyLUi8mqhc14vIq+czh9Uee1NOkBkdFjBdv3oMPbuPnBCvR9n/sHgnv/m1qsnk5SQBkCrttH8OncDh7OySU3JZPGCrexOTKuIsMts/55M6kSFFmzXiQxh/56i3+QTtqeSsD2VO/5vGrddNJWl87cVlGUfzeHmwR9w20VTWfhj0WTsDQL9wjiUc/zPPOtYGkF+NUusG+QXQXBALfYc2lRR4f1te3anExUdXrAdGR3O3t3pJ9SbNWMVA7o/xY1XTSIpIfWE8m+/XM5Fl57tzlDdJjqsDvFp+wq2E9L2ER1Wp9T93mZ3UhpRDSIKtiOjI9i9+8TfE99/s4Lzuz7KuFFvkZiQAsD2rXsJrRnItSPf4IIe43niX5+R69UTgdSxTGF5Xh7ijmuqf6lqR2fymgKcA1QH1gJvl1C/I9AJOApsEpE3gFzgOaALkAbMEZF/APFAtKq2BRCRsMInUtXXReRu4HxV3S8iwcDDInKfqh4DxgI3ura5p6/foLYMu7QL1ar58fHk37jvpo/46LvbOLdfS9as/IsRA14lolYQnbrG4Otb4YMKf1tubh6JO9J4+fNRJO8+yF2Xfsh7P11HcM3qfPz7rdSJDCFpVxr3XvEJTVvWISom/NQn9UJNanZhV8YqlMoxPFVWFwxqx0Uj4qhWzZ8PJy/g7hun8un3dxWU791zgI3rkuhzgfcN/RqHAYM78n+XdaNaNX+mvT+fO65/jy9/eICcnFyWLNrM3EWPE92wFjdeM5HPPlzIlaN7ezrkklWia6ru+E090/n/P4ElqnpQVZOBo8WToNPPqnpAVY8A64HGwNnAL6qarKo5wEdAb2A70FRE3hCRgUDpYzuAqmYC84ChItIS8FfVE8ZgReQGZ896eXJy8mk1urh6UTXZnZhesL0nMZ16kUV7OuERQVSr5vhec/noHqz9I76g7Nb7BvDdwvuZNuNWVJWYZt71Tbl2/WCSk47/8SfvPkjt+iFF6tSJDKVn/1j8/H2JbBRGg6YRJOxIdZY56kY1DqdD90ZsWbe34oIvg6ycdIL8jif5QP9wDuWcONIAEFNs6LcyqB8ZRlKh0Y/diWnUiwwrUie8VjDVqvkDMHL0Ofy5+q8i5d99tYILh3XE39/X7fG6Q2J6Mg3D6xZsNwivS2J6cqn7vU1kVHiR0YPdiakFE5LyRRT6Oxw1pg9rVu8CICo6gjbtG9G4SV38/HwZOLRzQZm30jwt18tTTiep5hQ7rvjsmaPO/+cVep+/XVLPuHCd3FLqAKCqaUAH4BfgJuC9MsT7HjAGRy/1g1LOO0lV41Q1rk4d1ySv9p0bsXNbMvE7U8jOzuG7r1bSb3DbInX27Tn+S3rurD9p1rwe4OjhpaU6JvVsXJvIxnVJnNu3pUvicpWWHaJI3JnG7r/SOZady/yZG+jZP7ZInXMGxLJ6seMf6oHULBK2pxLZOIyD6YfJPppTsH/d8gQax3rXrMP9h3cRGlCXYP9a+OBLk9AuJBxcc0K90IB6VPMJJPnwdg9Eefo6dGnMjm37+GvnfrKzc/j2y+X0H9K+SJ29hX4+f/p+Dc2aF51kN/OLZQwfEVch8brDzDULuKb7YAC6NWnDgcOZ7MlIYfb6JQxo1Y2wwBDCAkMY0Kobs9cv8XC0J+rYpQnbt+1j185ksrNz+Gb6UgYM6VSkTuEh/dnfryK2RWTBsRnpWexPdnwxXvi/DTRvGVVhsZdbfk+1PC8POZ3h311AaxGpBtQA+gELXRoVLAVeF5HaOIZ/RwJvOLezVfVLEdkEfFjCsQeBEGA/gKouEZGGQGegfQn13cLPz5fxL17CmIsnkpebx6VXdad5q0heeXoW7To15ILB7Zj69q/8/MNafP18qBkeyPMTHdP+c47lcsXA1wAIDqnOy5Ouxs/Pu3oDvn4+3P5kfx646lPycpVBl7cnpkUdPnjxV1q0j6TngFjOPq8py3/dwdi+k/D18eGGh/tSMzyQdcsTeOXBHxEfQfOUK27tUWTWsDdQ8liy5zMuaHgbPuLDlvTfSc/eTcfaQ0k5sov4TMeAR/EJSvkGNr6bmgH18POpxqXNnmbR7g9JOuQ9k838/Hx58sUruPofb5Cbl8flV/ekRasoXnrqW9p1asSAIR34YOJ8fpq1Bj8/H8LCg3jp7dEFx8fvSiEpMY3uvWJP8ime9fG1EziveWdqB4cR/8xMxn/3Lv6+jl957yz4mllrFzG4bU+2TphOVvYRxk57CoC0rAyenDWZZQ9MBmDCrPdJyzrpoJhH+Pn58sxLoxg5/CVyc/MYec25tGwdzXNPfk3HzjFcOKQT7038idmzVuPn60tYRBCvvXMdAL6+Pox/5nJGDHkBVaV9pxiuGtvHwy06mcqz9q+oli3QwrfUOCcU/R+wA8gEZqrqFBHZCcQ5r2eOcb6/zXnMTiAOCAa+U9W2JdT5DnhRVX8RkZHAvwABvlfVB0SkA47eZn5P+SFV/UFEpjjPOV1EbgduA5JU9XzneR8EOqpq0XsDShAXF6efz7umTH8mlU3T0DsAmJfwLw9H4j59GzwDwNQNt3g4EvcY3eo/AMRnljQ9ofJrGHwTAHKz9822dQWduBiAvVlTPBuIm9QLHIOIrFBVlw5hdIkO099uKV/Sr/HITJfHURZl7qkWvkdVVe8H7i+hTkyh91NwTFQqXrYfaFtKnaGF3n8CfFLs/H/g6HEW/9wxhd6/AbxRrEovoEJm/RpjjHEDr56dfFzlm1JaDiISJiKbgcOq+rOn4zHGGFN+qpVnolKVXqZQVdOB5p6OwxhjzN9Rea6pVumkaowxpgpQKs0yhZZUjTHGeD1PLj1YHlX6mqoxxpgqIL+nWp5XGYjIQBHZJCJbnXeJFC+/W0TWi8gaEflZRBqf6pyWVI0xxng5dcz+Lc/rFETEF3gLGAS0BkaKSPE1N1fhuO2zPTAdeJ5TsKRqjDHGu7ln9m9XYKuqblfVbOBTYHiRj1WdX+gxoouBBpyCXVM1xhjj/Vx/TTUax0Na8iUA3U5Sfxzww6lOaknVGGOMd3P2VMuptogUXkN0kqpOOp2PF5GrcKwIeMplnSypGmOM8XqnMft3/ymWKUwEGhbabuDcV4SIXAA8DPRR1aPFy4uzpGqMMcarqbpllaRlQKyINMGRTK8ArixcQUQ6Ae8AA1V134mnOJElVWOMMV4vz8XXVFU1R0RuA2YDvsBkVV0nIhOA5ao6E3gBx0NgvhARgL9U9aKTndeSqjHGGO92etdUT31a1VnArGL7Hiv0/oLyntOSqjHGGK+mgOZVjqfUWFI1xhjj3VQrzTKFZX5I+ZkiLi5Oly9ffuqKxhhjTuCOh5R3rBWscwd2KNcxdT5e5N0PKTfGGGM8QivPgvqWVEsw9qdxng7BLT7o/z4AG9Ne8HAk7tMy/D4Apm64xcORuMfoVv8B4MjTw09Rs3Kq/vAMAPZmTfFsIG5SL3AMAHJzd88G4iY6cbH7zm2PfjPGGGP+PlXIqyRJ1RbUN8YYY1zEeqrGGGO8XOWZ/WtJ1RhjjHdz0+IP7mBJ1RhjjNezpGqMMca4gNotNcYYY4yrqC1TaIwxxriE9VSNMcYY17FrqsYYY4wLVKbFHyypGmOM8Xo2/GuMMca4gqoN/xpjjDGuYj1VY4wxxhVsRSVjjDHGNRRLqsYYY4xr2H2qBqBtrbZc2WIkPiL8mriAWTt/KFIeUT2C69qMI9AvEB8Rpm/9kjX7/yTIP4hb299Ck9AYfkv6jQ83feyhFpzcgrmbeOZfM8jLVS69uivX33n+CXV++PoP3nruJxChZdtIXnz3SgC++WQ5E1/6GYCb7+nHP0bGVWjsZREV1Jqu9UYgImxJX8TalDlFys+uewn1g5oD4CsB1PAL4ZPN9wJwQcNbqVOjCXuztjEvYWKFx14Wczbv495Zf5Kbp4zp0pj7+sQWKX/tt21MWb4LPx+hdlA13v6/jjQODywozzhyjE6vz2dYq/q8Oqx9RYdfJvPm/Mmj939Mbm4eo0b35vZ7hxQp//S/C5nwyGdERoYDcO1N/Rg1pg8ACfEp3HPLByQlpoIIH311F40a167wNpTm/asfZmi7c9h3MI12T44qsc5rl93N4DY9yMo+yphpT7IqfhMA13QfzCODxgLw1A8fMG3xrAqL+/So3VJzukQkDLhSVf/j6Vj+DkG4uuUoXlz5EqlH0nis26OsTl5N0qHdBXWGNRnKsr3LmJ/wC1FBkdzV6U7uW/gAx3KP8fW2r4kOjqZBULQHW1G63Nw8nrz/a97/6nrqRdXksn5vcP7A1jRrWa+gzs5tybz76nw++vEWaoYFkpKcCUB6WhZvPT+XL+bdgQhcev7rnD+oNTXDAkv7uAonCN3rX86cv14n61g6Q5o8QPzBNRzI3lNQZ9m+Lwvetww/j4jqDQq216bMxc8ngOZhvSoy7DLLzVPu/HYN34/tQXRoDXq9/StDW9WnVd2QgjodI2vy2829CQzwY9KSHTw8ez0fXnH8y88TP2+kV0wtT4RfJrm5eTx093/5/Nt7iYyOYOC5ExgwpCMtWhX9NzX8kq48+/LVJxx/+/Xvcud9w+jTrw2HMo8gPlJRoZfJlN+/581fpjNtzGMllg9q04PYug2JHT+Cbk3aMHHk/XR/fhzhgaGMHzKOuGfHoigrHprCzDULSM86WMEtKDsFKskqhV75kPIw4BZPB/F3Na3ZlH1Z+0g+vJ9czWXpnqV0qtOpWC2lhl8NAGr4BZJ+NB2A7LxstqRv5VhuTsUGXQ5rVsTTqEltGsbUIiDAj8EXd2DeD+uK1Pli2lJGjutRkCxr1QkG4Ld5m+h5Xixh4YHUDAuk53mxLPx5U4W34WRq14ghIzuZzGMp5JHLjowVNAzpUGr9JqFx7MhYXrC9J2sTx/KOVESop2VZQhpn1QqiSUQQAX4+jGgXzXcb9hSp06dpbQIDHN+7uzaMIDHjcEHZysR09mUe5YJmdSo07vJYtXw7TZrWpXGTugQE+PGPS7sy+7tVZTp204ZEcnPy6NOvDQBBwdUJDKzmznDLbcHW1aQeyii1fHiH3gU90CU71hEWGEz90Fpc2LobP21YSlpWBulZB/lpw1IGtu5eUWGfHnUk1fK8PMUbk+q/gbNEZLWIvCAi94nIMhFZIyJPAIhIjIhsFJEpIrJZRD4SkQtE5DcR2SIiXZ31HheR/4rI787911dUI8KrhZF6NLVgO/VoGuHVworU+WbbTHrU785L577AXZ3+yYcbvXOYtyT7dh+gfnTNgu16UTXZu7voP/Bd2/azc9t+rhz4Fpf3f5MFcx2Jc29SBvWjw4oem1T6LwdPCPQL41BOWsF21rE0gvxqllg3yC+C4IBa7DnkXV8MTiYp4wgNatYo2I4OrV4kaRY3ZcUuLox1jELk5SkP/rCOZwe2cXucf8fupDSiGkQUbEdGR7B7d9oJ9b7/ZgXnd32UcaPeIjEhBYDtW/cSWjOQa0e+wQU9xvPEvz4jN7eSdJWcosPqEJ+2r2A7IW0f0WF1St3v7Sypnr4HgW2q2hH4CYgFugIdgS4i0ttZrxnwEtDS+boS6AXcC/yr0PnaA32BHsBjIhJV/ANF5AYRWS4iy5OTk93RphJ1q9+Nhbt/454F9/HKqte4vu11CN41xPR35OTksmv7fqZ+exMvvXclj905nYwDpf/irqya1OzCroxVKJXjmk95fbI6npWJB7jr3LMAeGfpTi5sUbdIUq6sBgzuyLINLzB/6ZP06duaO65/D3D87C5ZtJnxz1zOjwse46+dyXz24UIPR3vmUiBPy/fyFG9MqoUNcL5WAStxJM/82RQ7VPVPVc0D1gE/q6oCfwIxhc4xQ1UPq+p+YD6OBF2Eqk5S1ThVjatTxzXf2NKOphNR7fi35Ihq4aQ5h3fz9Y7uxbI9ywDYdmAb/j7+BPsHu+Tz3a1uZE32JB4o2N6bdIB6kaFF6tSPqknfga3x9/elQeMIYprVYde2/dSLCmVPYnrRY6OKHutpWTnpBPmFF2wH+odzKOdAiXVjig39VgZRodVJKPQFJzHjCNGhJybJeVuTee5/W5h+VVeq+fkCsOSvVN5evJMWL/7EQz+u5+PVCTwye32FxV5WkVHhJCUcHy3anZhaMCEpX0StYKpV8wdg1Jg+rFm9C4Co6AjatG9E4yZ18fPzZeDQzgVllUViejINw+sWbDcIr0tienKp+72aDf+6jADPqmpH56uZqr7vLDtaqF5eoe08ik7AKv6dpUK+w+zI2EHdwHrUrl4bX/Gla/2urEpeXaROypFUWkW0BiAyKBJ/X38OHvPeyQKFtevcgF3b95OwK5Xs7BxmffUH5w9sXaROv8FtWfrbdgDSUg6xc2syDWIiOKdvC36bv5kD6VkcSM/it/mbOadvC080o1T7D+8iNKAuwf618MGXJqFdSDi45oR6oQH1qOYTSPLh7R6I8vTFRYexNeUQO1MPkZ2Txxd/JjKk0CQzgNVJB7htxh9MH9WVusHHrydOuawLW+7rz6Z7+/PswNZc2bEBT13YuvhHeFzHLk3Yvm0fu3Ymk52dwzfTlzJgSNF5DXt3pxe8n/39KmJbRBYcm5Gexf5kx2WJhf/bQPOWJwxyebWZaxZwTffBAHRr0oYDhzPZk5HC7PVLGNCqG2GBIYQFhjCgVTdmr1/i4WhPLn+iUmVIql43+xc4CORPQZwNPCkiH6lqpohEA8fKeb7hIvIsEASch2N42e3yNI+PNn3EPZ3vwkd8WJC0kKRDSfzjrOHszNjJ6uQ/+GzzZ4xpPZoBjfsDyvtrJxcc/0Kv56juVwM/8aVT3U68tPLlIjOHPc3Pz5dHnh/OdZe+R15uHhePOpvYVvV5/ZnZtO3UgL6D2tCrX3N+m7+Zod1fxMfXh3ufGEJ4RBAAN997AZf1ewOAW+67gLBw75n5C6DksWTPZ1zQ8DZ8xIct6b+Tnr2bjrWHknJkF/GZfwInTlDKN7Dx3dQMqIefTzUubfY0i3Z/SNKhDRXdjFL5+frwytB2DJu6mNw8ZXSXRrSuF8qEuRvpHB3G0Fb1+deP6ziUncOoTx3taxhWg+lXdfNw5GXn5+fLMy+NYuTwl8jNzWPkNefSsnU0zz35NR07x3DhkE68N/EnZs9ajZ+vL2ERQbz2znUA+Pr6MP6Zyxkx5AVUlfadYrhqbB8Pt6ioj6+dwHnNO1M7OIz4Z2Yy/rt38fd1/Ep/Z8HXzFq7iMFte7J1wnSyso8wdtpTAKRlZfDkrMkse8Dx+2bCrPdJy/KuOQ0n0Moz+1ccI6beRUQ+xnEt9AcgAbjOWZQJXAXkAt+paltn/SnO7ekiEpNfJiKPA01xDBnXBp5X1XdP9tlxcXHa7tnSZ3lWZh/0d3TyN6a94OFI3Kdl+H0ATN1Q6SeQl2h0K8edZkeeHu7hSNyj+sMzANibNcWzgbhJvcAxAMjNXj7b9jTpxMWIyApVdemN562qVdfJUTHlOqbnzk0uj6MsvLGniqpeWWzXayVUa1uo/phC73cWLgPWqOo1rozPGGNMxalM96l6ZVI1xhhjClSi4d8qnVRV9XFPx2CMMebvsZ6qMcYY4yrWUzXGGGNcxxsn1ZbEkqoxxhivZsO/xhhjjKvY8K8xxhjjOpZUjTHGGBew4V9jjDHGVWz41xhjjHEN66kaY4wxrmI9VWOMMcZ1PPng8fLw9uepGmOMOcO563mqIjJQRDaJyFYROeGxoCJSTUQ+c5YvcT4F7aQsqRpjjPFu6vqkKiK+wFvAIKA1MFJEWherNg5IU9VmwCvAc6c6ryVVY4wxXs1NPdWuwFZV3a6q2cCnQPEHFQ8HpjrfTwf6iYic7KR2TbUE+Q/zrqryH+RdleU/zLuqyn+Yd1WV/zDvqkonLvZ0CJWOGyYqRQPxhbYTgG6l1VHVHBE5ANQC9pd2UkuqxaxYsWK/iOyqwI+szUn+gqqIqt5Ga1/lZu1zrcauPuEOjs4exeba5TysuogsL7Q9SVUnuTKuklhSLUZV61Tk54nIclWNq8jPrGhVvY3WvsrN2uf9VHWgG06bCDQstN3Aua+kOgki4gfUBFJOdlK7pmqMMeZMtAyIFZEmIhIAXAHMLFZnJjDa+f5SYJ6e4hl01lM1xhhzxnFeI70NmA34ApNVdZ2ITACWq+pM4H3gvyKyFUjFkXhPypKq57l9jN8LVPU2WvsqN2vfGUpVZwGziu17rND7I8CI8pxTKsvT1I0xxhhvZ9dUjTHGGBexpGqMMca4iCVVY4wxxkUsqVYwEfEVkbs8HYcxZzIReUlE2ng6DncRkfoicpGIDBOR+p6O50xiSbWCqWouMNLTcbiTOFwlIo85txuJSFdPx+VKVb2NInKOiAQ5318lIi+LiMtXyvGgDcAk55NHbhKRmp4OyFVE5DpgKXAxjnsrF4vItZ6N6sxhs389QEReAfyBz4BD+ftVdaXHgnIhEZkI5AF9VbWViIQDc1T1bA+H5jJVvY0isgboALQHpgDvAZepah9PxuVqItICGIvji+5vwLuqOt+zUf09IrIJ6KmqKc7tWsAiVW3h2cjODHafqmd0dP5/QqF9CvSt+FDcopuqdhaRVQCqmuZcsaQqqeptzFFVFZHhwJuq+r6IjPN0UK7kfPRXS+drP/AHcLeI3Kiqp7zJ34ulAAcLbR/kFEvrGdexpOoBqnq+p2Nws2POX1gKICJ1cPTqqpKq3saDIvIQcBXQW0R8cIyuVAnO0aKhwDzgGVVd6ix6ztnTq8y2AktEZAaOn8/hwBoRuRtAVV/2ZHBVnV1T9QARqem8RrXc+XqpKl3TAV4HvgbqicjTwELgGc+G5HL5baxbRdt4OXAUGKeqe3AsNv6CZ0NyqTVAR1W9sVBCzVfZr41vA77B+YUPmAHsAEKcL+NGdk3VA0TkS2Atxx9+ezXQQVUv9lxUriUiLYF+zs15qrrBk/G4Q6E2CvBzVWxjVSUiP6tqv1PtM6a8bPjXM85S1UsKbT8hIqs9FYybBOJYpFqBGh6OxWVEJKLQ5j7gk8Jlqppa8VG5nogc5HhPJwDH0G+mqlbqERURqY7jZ7O2c3KZOItCcTyQutITkTjgYRzPNS34Ha+q7T0W1BnEkqpnHBaRXqq6EBy3LwCHPRyTyzhvMxkBfInjl9YHIvKFqj7l2chcYgWOZCNAIyDN+T4M+Ato4rHIXEhVC4YJRURwXJfr7rmIXOZG4E4gCig82z4DeNMTAbnBR8B9wJ9Urev8lYIN/3qAiHTEMfRbE8cv5FRgjKr+4cm4XMU50aOD8wkPiEgNYHVVmtIvIu8CXzufcoGIDAL+oao3ejYy9xGRVaraydNxuIKI3K6qb3g6DncQkYWq2svTcZyprKfqAaq6GuggIqHO7QzPRuRySUB14IhzuxqQ6Llw3KK7ql6fv6GqP4jI854MyJVEpPD1fR8gjuN/n5WWiPRV1XlAYrE2AqCqX3kgLFcbLyLvAT/jmGwGVJm2eT1LqhUof0p7CfuBKjXV/QCwTkR+wjFU2h9YKiKvA6jqHZ4MzkWSROQR4EPn9igcXyaqimGF3ucAO3EMAVd2fXDcRjOshDIFqkLiGYvj3lt/jg//VpW2eT0b/q1AIjL+ZOWq+kRFxeJOIjL6ZOWqOvVk5ZWBc8LSeKC3c9evwBNVZaKSqbxEZFNVutRS2VhSNS4nIsOA71XVJklUMiJyv6o+LyJvcHz2b4EqMsqAiPwT+ADHakPvAp2BB1V1jkcDcwER+QB4QVXXezqWM5EN/3qAiDQA3gDOce5aAPxTVRM8F5VLXQ686rwfd7KqbvR0QK4mIvMpOelU9qUm8++1Xe7RKNzvWlV9TUQuBGrhuFf8v0ClT6o4ZmmvFpEdOK6pCqB2S03FsKTqGR8AH+O47QQcS8F9gOPaY6Wnqlc5J2GNBKaIiOJo3yeqevDkR1ca9xZ6Xx24BMe1x0pNVb91/r/SD9GfQv79qYOBaaq6TvInN1R+Az0dwJnMhn89QERWq2rHU+2r7JxPx7gax32BG4BmwOtV+FaGpapaqZe4E5FvKaEHnk9VL6rAcNzGOUQajeO+4g44Fir5RVW7eDQwFxGRXkCsqn7gXJc6WFV3eDquM4H1VD0jRUSu4vhqPCOpQk+RcD7ZZAyOJDoN6Kqq+0QkEFiPY+i7Uiu2spIP0AXHfceV3YvO/18M1Of47OaRwF6PROQe43A8LWq7qmY5vwCO9WxIruGcEBkHtMAxQuSP4+/xnJMdZ1zDeqoe4HzY8xtADxy9gkXA7aoa79HAXEREPgPeUtVfC+17TlUfEJF+qvqzB8NzCef1qvyVlXJwLFg+IX+VrMpORJaratyp9lVmInIRx2dv/y9/6Luycy552glYmb9Yh4issWuqFcN6qp4xARitqmlQ0Ot5EbjWo1G5TmzhhOo0CHigKiRUp1b5K0blE5FqngrGDYJEpKmqbgcQkSZAkIdjchkR+TdwNo4l/QDuEJEeqvovD4blKtnOZ+HmP5awyvy9VQaWVD2jfX5CBVDVVBGp9Mu/icjNwC1AUxFZU6goBPjNM1G5zSIct2EU9nsJ+yqru4BfRGQ7jt54Yxzr5lYVg3E8+i0PQESmAquAqpBUPxeRd4AwEbkex5f1dz0c0xnDkqpn+IhIeLGealX4u/gY+AF4Fniw0P6DVWVRBBGpj2OCSw3nF6HCTzkJ9FhgLqaqP4pILI6VeQA2qurRkx1TCYXhWHcbqsb18Hx1gOk4HhLQAngMuMCjEZ1B7JqqB4jINTi+EX/h3DUCeFpV/+u5qExZOFeLGoNjIkjhezkPAlOq0vqqItIWaI3jliEAVHWa5yJyHREZCfwbmI/ji1FvHIs/fObRwFxARFaqaudi++yaagWxpOohItIayF8oYJ6tflK5iMglqvqlp+NwF+cM0vNwJNVZOK6JL1TVSz0ZlyuJSCSO66oAS1V1jyfj+bsKX34BthUqCgF+U9WrPBLYGcaSqjHlICJXqeqHInIPJa+oVCUeiiAif+K4f3OVqnYQkXrAh6paJRYoARCRaE58kHfxCXaVhojUBMKpwpdfKoOqcB3PmIqUP5My2KNRuN8RVc0TkRzn6lj7gIaeDspVROQ5HMtprqPok1wqbVJV1QM4nhA10tOxnMksqRpTDqr6jvP/VeKJQiVxLte3RkTCcMwaXQFk4pjdXFX8A2hRBSdfGQ+zpGrMaXAu/XY9EEPR4cNKf6+x8x7HrqqaDrwtIj8Coaq65hSHVibbcaw0ZEnVuJQlVWNOzwwcTxeaC+R6OBZ3WCkiZ6vqMlXd6elg3CALx5NcfqZQYq0qj7YznmMTlYw5DVXxAQiFichGHGs37wIOUcUeH+a8NeoEZ8DTeYybWVI15jSIyFPAIlWd5elY3MG5PvUJVHVXRcdiTGViSdWY0yAiB3HMBD4KHON4Ty7Uo4GZkxKRz1X1MuctQyXdElUleuLGcyypGmPOGCISqaq7rSdu3MWSqjGnQURKWjj/ALBLVXMqOh5zepz34BaevW2LJJi/xZKqMadBRBbjeCLNn85d7YC1OBZmv1lV53gqNnNqInIj8ARwhOPDwKqqTT0XlakKfDwdgDGVVBLQSVW7qGoXoCOOex/7A897MjBTJvcCbVU1RlWbOF+WUM3fZknVmNPTXFXX5W84H4jQMv+h3sbrbcNxr6oxLmWLPxhzetaJyETgU+f25cB6EamGYzaw8W4PAYtEZAm2+INxIbumasxpEJEaOB6z1cu56zfgPziu0QWqaqanYjOnJiJLgYU4ronnL6hviz+Yv82SqjHmjCMiq1S1k6fjMFWPJVVjToOIxOJ4bmVroHr+fpvsUjmIyDPATuBbig7/2i015m+xpGrMaRCRhcB44BVgGDAW8FHVxzwamCkTEdlRwm67pcb8bZZUjTkNIrJCVbuIyJ+q2q7wPk/HZozxHJv9a8zpOSoiPsAWEbkNSASCPRyTKSMRuaak/ao6raJjMVWL9VSNOQ0icjawAQgDngRCgedVdYkn4zJlIyJvFNqsDvQDVqrqpR4KyVQRllSNOQ0iEgc8DDQG/J27q8zzRs80IhIGfKqqAz0di6ncbPjXmNPzEXAfxe5zNJXWIaCJp4MwlZ8lVWNOT7KqzvR0EOb0iMi3HF9I3wfHrVGfey4iU1XY8K8xp0FE+gEjgZ8pep/jVx4LypSZiPQptJmD45F9CZ6Kx1QdllSNOQ0i8iHQEljH8eFfVdVrPReVMcbTLKkacxpEZJOqtvB0HKZ8ROQgx4d9ixTh+FIUWsEhmSrGrqkac3oWiUhr5yPfTCWhqiGejsFUbdZTNeY0iMgG4CxgB45rqvk9HbulxpgzmCVVY06DiDQuab+q7qroWIwx3sOSqjHGGOMiPp4OwBhjjKkqLKkaY4wxLmJJ1RhjjHERS6rGGGOMi/w/24mzSreMLHsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 504x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "phik_overview = df_stars.phik_matrix()\n",
    "phik_overview.round(2)\n",
    "\n",
    "plot_correlation_matrix(\n",
    "    phik_overview.values,\n",
    "    x_labels=phik_overview.columns,\n",
    "    y_labels=phik_overview.index,\n",
    "    vmin=0,\n",
    "    vmax=1\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7091b7f3",
   "metadata": {
    "scrolled": true
   },
   "source": [
    "Примечательно, что заметно довольно высокие корреляции между отдельными параметрами. Более того, низкая корреляция - это скорее исключение. Наибольшая корреляция наблюдается между типом звезды и ее абсолютной звездной величиной - 0.92. С целевым показателем наибольшая взаимосвязь наблюдается также с абсолютной звездной величиной и цветом звезды: 0.71 и 0.68 соответственно. С типом звезды и светимостью - 0.60 и 0.56 соответственно. Можно сделать вывод, что меньше всего температура зависит от радиуса, т. к. коэффициент корреляции составляет 0.24, однако он не равен нулю, поэтому об отсутствии полной взаимосвязи речи не идет."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "024c4549",
   "metadata": {},
   "source": [
    "<a name='eda_conclusions'></a>\n",
    "### 2. 5. Заключения по исследовательскому анализу данных\n",
    "[Введение](#introduction)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df9a6986",
   "metadata": {},
   "source": [
    "На основании проведенного исследовательского анализа данных можно сделать несколько выводов:\n",
    "1. **Светимость и температура**. Наблюдается небольшая корреляция. Объекты разделены на 3 части на графике, поэтому можно заключить, что температура звезды также зависит и от других параметров;\n",
    "2. **Тип звезды и температура**. Коричневые и красные карлики - < 5 000 Кельвинов, Белые карлики - от 7 500 до 25 000, иные типы - значения температур значительно варьируются;\n",
    "3. **Цвет звезды и температура**. Наблюдается небольшая степень взаимозависимости. Красный цвет: от 2 500 до 7 500 Кельвинов; Белый: 7 500 - 15 000; Желто-белый: 5 000 - 13 000. Для таких цветов, как: оранжевый, желтый, оранжево-красный, желто-оранжевый количество объектов недостаточно для определения закономерности; \n",
    "4. **Радиус звезды и температура**. Не столь сильная корреляция. Примерно одинаковая температура для звезд, чей радиус находится в диапазоне от 0.1 до 1: 3 500 - 4 000 Кельвинов.\n",
    "5. **Абсолютная звездная величина и температура**. Не прослеживается четкой закономерности, но видна ветвь параболы на графике в диапазоне от -5 до 10 абсолютной звездной величины;\n",
    "6. **Абсолютная звездная величина и тип звезды**. Четкая корреляция, кроме красных и белых карликов - значения абсолютной звездной величины находятся в диапазоне от 10 до 15;\n",
    "7. **Общая корреляция между параметрами (phik)**. Наибольший коэффициент корреляции - абсолютная звездная величина и тип звезды: 0.92. Наибольшая взаимосвязь с температурой: абсолютная звездная величина и цвет - 0.71 и 0.68 соответственно. С типом и светимостью - 0.60 и 0.56 соответственно. Радиус - 0.24."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2cb412e3",
   "metadata": {},
   "source": [
    "<a name='data_preparation'></a>\n",
    "## 3. Подготовка данных к построению модели\n",
    "[Введение](#introduction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "0f9416fc",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "pd.options.mode.chained_assignment = None\n",
    "\n",
    "numeric_cols = ['luminosity', 'radius', 'magnitude']\n",
    "categorical_cols = ['color', 'type']\n",
    "\n",
    "# Разбиение данных на независимые и целевую переменные\n",
    "X = df_stars.drop('temp', axis=1)\n",
    "y = df_stars['temp']\n",
    "\n",
    "X = pd.get_dummies(X, columns=categorical_cols, drop_first=True)\n",
    "\n",
    "# Разбиение объектов на тренировочну и тестовую выборки\n",
    "X_train, X_test, y_train, y_test = train_test_split(\n",
    "    X, y, random_state=42, test_size=0.25\n",
    ")\n",
    "\n",
    "scaler = StandardScaler()\n",
    "scaler.fit(X_train[numeric_cols])\n",
    "\n",
    "X_train[numeric_cols] = scaler.transform(X_train[numeric_cols])\n",
    "X_test[numeric_cols] = scaler.transform(X_test[numeric_cols])\n",
    "\n",
    "X_train = torch.FloatTensor(X_train.values)\n",
    "X_test = torch.FloatTensor(X_test.values)\n",
    "y_train = torch.FloatTensor(y_train.values)\n",
    "y_test = torch.FloatTensor(y_test.values)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "funded-electric",
   "metadata": {},
   "source": [
    "<a name='nn_creation'></a>\n",
    "## 4. Построение базовой нейронной сети\n",
    "[Введение](#introduction)\n",
    "\n",
    "<br>План данной главы работы:\n",
    "1. [Инициализация необходимых функций](#necessary_functions)\n",
    "2. [Создание базовой нейронной сети](#basic_nn)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1fcc1fa0",
   "metadata": {},
   "source": [
    "<a name='necessary_functions'></a>\n",
    "### 4. 1. Инициализация необходимых функций\n",
    "[Введение](#introduction)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8107eed",
   "metadata": {},
   "source": [
    "Первоначально определим функции для:\n",
    "1. Обучения модели без использования батчей;\n",
    "2. Обучения модели с использованием батчей;\n",
    "3. Тестирования модели;\n",
    "4. Создания графика с отображением спрогнозированных и действительных значений температур звезд."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "29a2b8ca",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Функция обучения модели\n",
    "def model_training(train_x, train_y):\n",
    "    optimizer.zero_grad()\n",
    "    preds = net.forward(train_x).flatten()\n",
    "    \n",
    "    # L2-Регуляризация весов\n",
    "    l2_lambda = 0.001\n",
    "    l2_norm = sum(p.pow(2.0).sum() for p in net.parameters())\n",
    "    loss_value = torch.sqrt(loss(preds, train_y)) + l2_lambda * l2_norm\n",
    "    loss_value.backward()\n",
    "\n",
    "    optimizer.step()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "bb6cd282",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Функция тестирования модели\n",
    "def model_testing(epoch):\n",
    "    net.eval()\n",
    "    test_preds = net.forward(X_test).flatten()\n",
    "    print('Epoch #:', epoch)\n",
    "    print('RMSE =', torch.sqrt(loss(test_preds, y_test)).item(), '\\n')\n",
    "    return test_preds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "89acfe7d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Функция для обучения с использованием батчей\n",
    "def batch_training(epochs_num, epoch_test):\n",
    "    batch_size = 100\n",
    "    num_batches = ceil(len(X_train) / batch_size)\n",
    "\n",
    "    for epoch in range(epochs_num):\n",
    "        order = np.random.permutation(len(X_train))\n",
    "        for batch_idx in range(num_batches):\n",
    "            start_idx = batch_idx * batch_size\n",
    "            \n",
    "            optimizer.zero_grad()\n",
    "\n",
    "            batch_indexes = order[start_idx:start_idx + batch_size]\n",
    "            X_batch = X_train[batch_indexes]\n",
    "            y_batch = y_train[batch_indexes]\n",
    "\n",
    "            model_training(X_batch, y_batch)\n",
    "        if epoch % epoch_test == 0:\n",
    "            y_pred = model_testing(epoch)\n",
    "    return y_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "cf8c61b6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Функция для отображения графика \"Факт-Прогноз\"\n",
    "def show_graph(y_pred):\n",
    "    start = 0\n",
    "    end = 15\n",
    "    \n",
    "    basic_df = y_test[start:end]\n",
    "    nn_df = y_pred[start:end]\n",
    "\n",
    "    plt.figure(figsize=(7, 7))\n",
    "    plt.bar(range(start, end), nn_df.detach().numpy(), color='orange', label='Прогноз')\n",
    "    plt.bar(range(start, end), basic_df, color='blue', width=0.5, label='Факт')\n",
    "\n",
    "    plt.legend()\n",
    "    plt.title('Факт-Прогноз', fontsize=16)\n",
    "    plt.xlabel('Номер звезды в таблице данных', fontsize=14)\n",
    "    plt.ylabel('Температура звезды', fontsize=14)\n",
    "    plt.xticks(fontsize=12)\n",
    "    plt.yticks(fontsize=12)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "608589e5",
   "metadata": {},
   "source": [
    "<a name='basic_nn'></a>\n",
    "### 4. 2. Создание базовой нейронной сети\n",
    "[Введение](#introduction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "b25add83",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Количество нейронов на каждом слое\n",
    "in_neurons = X_train.shape[1]\n",
    "hidden_neurons_1 = 8\n",
    "hidden_neurons_2 = 5\n",
    "out_neurons = 1\n",
    "\n",
    "# Создание класса нейронной сети с 3 скрытыми слоями\n",
    "class NeuralNet(nn.Module):\n",
    "    def __init__(self, in_neurons, hidden_neurons_1, hidden_neurons_2, out_neurons):\n",
    "        super(NeuralNet, self).__init__()\n",
    "        self.fc1 = nn.Linear(in_neurons, hidden_neurons_1)\n",
    "        self.ac1 = nn.LeakyReLU()\n",
    "        self.fc2 = nn.Linear(hidden_neurons_1, hidden_neurons_2)\n",
    "        self.ac2 = nn.LeakyReLU()\n",
    "        self.fc3 = nn.Linear(hidden_neurons_2, out_neurons)\n",
    "        self.ac3 = nn.LeakyReLU()\n",
    "\n",
    "    def forward(self, x):\n",
    "        x = self.fc1(x)\n",
    "        x = self.ac1(x)\n",
    "        x = self.fc2(x)\n",
    "        x = self.ac2(x)\n",
    "        x = self.fc3(x)\n",
    "        x = self.ac3(x)\n",
    "        return x\n",
    "\n",
    "\n",
    "# Инициализация нейросети\n",
    "net = NeuralNet(in_neurons, hidden_neurons_1, hidden_neurons_2, out_neurons)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "57ca15d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "NeuralNet(\n",
       "  (fc1): Linear(in_features=17, out_features=8, bias=True)\n",
       "  (ac1): LeakyReLU(negative_slope=0.01)\n",
       "  (fc2): Linear(in_features=8, out_features=5, bias=True)\n",
       "  (ac2): LeakyReLU(negative_slope=0.01)\n",
       "  (fc3): Linear(in_features=5, out_features=1, bias=True)\n",
       "  (ac3): LeakyReLU(negative_slope=0.01)\n",
       ")"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Функция для инициализации весов\n",
    "def init_weights(layer):\n",
    "    if type(layer) == nn.Linear:\n",
    "        nn.init.kaiming_uniform_(\n",
    "            layer.weight,\n",
    "            mode='fan_in',\n",
    "            nonlinearity='relu'\n",
    "        )\n",
    "\n",
    "# Инициализация весов нейросети\n",
    "net.apply(init_weights)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "0fca0fa6",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch #: 0\n",
      "RMSE = 14626.58984375 \n",
      "\n",
      "Epoch #: 1000\n",
      "RMSE = 11748.98828125 \n",
      "\n",
      "Epoch #: 2000\n",
      "RMSE = 7665.7822265625 \n",
      "\n",
      "Epoch #: 3000\n",
      "RMSE = 6787.57470703125 \n",
      "\n",
      "Epoch #: 4000\n",
      "RMSE = 5737.6708984375 \n",
      "\n",
      "Epoch #: 5000\n",
      "RMSE = 4887.11962890625 \n",
      "\n",
      "Epoch #: 6000\n",
      "RMSE = 4319.08349609375 \n",
      "\n",
      "Epoch #: 7000\n",
      "RMSE = 4321.9794921875 \n",
      "\n",
      "Epoch #: 8000\n",
      "RMSE = 4342.12939453125 \n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Создание оптимизатора и функции потерь\n",
    "optimizer = torch.optim.Adam(net.parameters(), lr=2e-3)\n",
    "loss = nn.MSELoss()\n",
    "\n",
    "# Обучение нейросети\n",
    "num_epochs = 8001\n",
    "\n",
    "for epoch in range(num_epochs):\n",
    "    model_training(X_train, y_train)\n",
    "    if epoch % 1000 == 0:\n",
    "        basic_nn_preds = model_testing(epoch)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "ad827cea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Создание графика \"Факт-Прогноз\" по полученным результатам нейросети\n",
    "show_graph(basic_nn_preds)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "29e83962",
   "metadata": {},
   "source": [
    "Метрика RMSE достигла значения около 4 350. В данном случае необходимый порог в 4 500 пройден.\n",
    "\n",
    "Параметры модели на данном этапе:\n",
    "- Общее количество эпох - 8 001;\n",
    "- Тестирование модели - каждые 1 000."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "growing-supply",
   "metadata": {},
   "source": [
    "<a name='nn_improvement'></a>\n",
    "## 5. Улучшение нейронной сети\n",
    "[Введение](#introduction)\n",
    "\n",
    "<br>Для улучшений нейросети воспользуется различными способами, которые смогут повысить окончательную метрику качества нейросети - RMSE.\n",
    "\n",
    "<br><b>Улучшения нейросети:</b>\n",
    "1. [Использование батчей](#batch_usage)\n",
    "2. [Batch Normalization](#batch_norm)\n",
    "3. [Dropout](#dropout)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc7407e8",
   "metadata": {},
   "source": [
    "<a name='batch_usage'></a>\n",
    "### 5. 1. Использование батчей\n",
    "[Введение](#introduction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "56ba5975",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch #: 0\n",
      "RMSE = 14626.859375 \n",
      "\n",
      "Epoch #: 1000\n",
      "RMSE = 13526.859375 \n",
      "\n",
      "Epoch #: 2000\n",
      "RMSE = 9886.087890625 \n",
      "\n",
      "Epoch #: 3000\n",
      "RMSE = 7924.13818359375 \n",
      "\n",
      "Epoch #: 4000\n",
      "RMSE = 7343.56494140625 \n",
      "\n",
      "Epoch #: 5000\n",
      "RMSE = 7018.84130859375 \n",
      "\n",
      "Epoch #: 6000\n",
      "RMSE = 6714.3876953125 \n",
      "\n",
      "Epoch #: 7000\n",
      "RMSE = 6331.84130859375 \n",
      "\n",
      "Epoch #: 8000\n",
      "RMSE = 5862.89404296875 \n",
      "\n",
      "Epoch #: 9000\n",
      "RMSE = 5448.78759765625 \n",
      "\n",
      "Epoch #: 10000\n",
      "RMSE = 5182.4111328125 \n",
      "\n",
      "Epoch #: 11000\n",
      "RMSE = 4960.27294921875 \n",
      "\n",
      "Epoch #: 12000\n",
      "RMSE = 4937.82080078125 \n",
      "\n",
      "Epoch #: 13000\n",
      "RMSE = 4952.43212890625 \n",
      "\n",
      "Epoch #: 14000\n",
      "RMSE = 4963.91748046875 \n",
      "\n",
      "Epoch #: 15000\n",
      "RMSE = 4966.23779296875 \n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Создание класса нейронной сети с 3 скрытыми слоями\n",
    "class ImprovedNeuralNet(nn.Module):\n",
    "    def __init__(self, in_neurons, hidden_neurons_1, hidden_neurons_2, out_neurons):\n",
    "        super(ImprovedNeuralNet, self).__init__()\n",
    "        self.fc1 = nn.Linear(in_neurons, hidden_neurons_1)\n",
    "        self.ac1 = nn.LeakyReLU()\n",
    "        self.fc2 = nn.Linear(hidden_neurons_1, hidden_neurons_2)\n",
    "        self.ac2 = nn.LeakyReLU()\n",
    "        self.fc3 = nn.Linear(hidden_neurons_2, out_neurons)\n",
    "        self.ac3 = nn.LeakyReLU()\n",
    "\n",
    "    def forward(self, x):\n",
    "        x = self.fc1(x)\n",
    "        x = self.ac1(x)\n",
    "        x = self.fc2(x)\n",
    "        x = self.ac2(x)\n",
    "        x = self.fc3(x)\n",
    "        x = self.ac3(x)\n",
    "        return x\n",
    "\n",
    "\n",
    "# Инициализация сети и весов для нее\n",
    "net = ImprovedNeuralNet(in_neurons, hidden_neurons_1, hidden_neurons_2, out_neurons)\n",
    "net.apply(init_weights)\n",
    "\n",
    "# Новая инициализация оптимизатора (поскольку используется новая модель)\n",
    "optimizer = torch.optim.Adam(net.parameters(), lr=1e-3)\n",
    "\n",
    "# Тренировка и тестирование нейросети с использованием батчей\n",
    "batch_nn_preds = batch_training(epochs_num=15001, epoch_test=1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "462d616d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Создание графика \"Факт-Прогноз\" по полученным результатам нейросети\n",
    "show_graph(batch_nn_preds)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9168fc3",
   "metadata": {},
   "source": [
    "Удалось достичь значения показателя RMSE около 5 000.\n",
    "\n",
    "Параметры модели на данном этапе:\n",
    "- Использование батчей при обучении;\n",
    "- Общее количество эпох - 15 001;\n",
    "- Тестирование модели - каждые 1 000."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "50585044",
   "metadata": {},
   "source": [
    "<a name='batch_norm'></a>\n",
    "### 5. 2. Batch Normalization\n",
    "[Введение](#introduction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "bfe853bc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch #: 0\n",
      "RMSE = 14626.81640625 \n",
      "\n",
      "Epoch #: 500\n",
      "RMSE = 9370.6005859375 \n",
      "\n",
      "Epoch #: 1000\n",
      "RMSE = 6826.3154296875 \n",
      "\n",
      "Epoch #: 1500\n",
      "RMSE = 5145.97314453125 \n",
      "\n",
      "Epoch #: 2000\n",
      "RMSE = 4317.91015625 \n",
      "\n",
      "Epoch #: 2500\n",
      "RMSE = 4204.10546875 \n",
      "\n",
      "Epoch #: 3000\n",
      "RMSE = 4115.41455078125 \n",
      "\n",
      "Epoch #: 3500\n",
      "RMSE = 4096.81982421875 \n",
      "\n",
      "Epoch #: 4000\n",
      "RMSE = 4062.719482421875 \n",
      "\n",
      "Epoch #: 4500\n",
      "RMSE = 4047.102294921875 \n",
      "\n",
      "Epoch #: 5000\n",
      "RMSE = 4053.055908203125 \n",
      "\n"
     ]
    }
   ],
   "source": [
    "#  Создание улучшенной нейросети с нормализацией батчей\n",
    "class BatchImprovedNeuralNet(nn.Module):\n",
    "    def __init__(self, in_neurons, hidden_neurons_1, hidden_neurons_2, out_neurons):\n",
    "        super(BatchImprovedNeuralNet, self).__init__()\n",
    "        self.fc1 = nn.Linear(in_neurons, hidden_neurons_1)\n",
    "        self.batch1 = nn.BatchNorm1d(hidden_neurons_1)\n",
    "        self.ac1 = nn.LeakyReLU()\n",
    "        self.fc2 = nn.Linear(hidden_neurons_1, hidden_neurons_2)\n",
    "        self.batch2 = nn.BatchNorm1d(hidden_neurons_2)\n",
    "        self.ac2 = nn.LeakyReLU()\n",
    "        self.fc3 = nn.Linear(hidden_neurons_2, out_neurons)\n",
    "        self.batch3 = nn.BatchNorm1d(out_neurons)\n",
    "        self.ac3 = nn.LeakyReLU()\n",
    "    \n",
    "    def forward(self, x):\n",
    "        x = self.fc1(x)\n",
    "        x = self.batch1(x)\n",
    "        x = self.ac1(x)\n",
    "        x = self.fc2(x)\n",
    "        x = self.batch2(x)\n",
    "        x = self.ac2(x)\n",
    "        x = self.fc3(x)\n",
    "        x = self.batch3(x)\n",
    "        x = self.ac3(x)\n",
    "        return x\n",
    "\n",
    "\n",
    "# Инициализация модели, весов и оптимизатора\n",
    "net = BatchImprovedNeuralNet(in_neurons, hidden_neurons_1, hidden_neurons_2, out_neurons)\n",
    "net.apply(init_weights)\n",
    "optimizer = torch.optim.Adam(net.parameters(), lr=1e-3)\n",
    "\n",
    "# Релизация обучения с помощью батчей\n",
    "batch_norm_nn_preds = batch_training(epochs_num=5001, epoch_test=500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "74f55b89",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Создание графика \"Факт-Прогноз\" по полученным результатам нейросети\n",
    "show_graph(batch_norm_nn_preds)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c3a72e05",
   "metadata": {},
   "source": [
    "Модель достигла значения около 4 000, пройдя необходимый порог.\n",
    "\n",
    "Параметры модели на данном этапе:\n",
    "- Использование батчей;\n",
    "- Нормализация батчей с помощью *nn.BatchNorm1d()*;\n",
    "- Общее количество эпох - 5 001;\n",
    "- Тестирование модели - каждый 500 эпох."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "71354fd6",
   "metadata": {},
   "source": [
    "<a name='dropout'></a>\n",
    "### 5. 3. Dropout\n",
    "[Введение](#introduction)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "416126bd",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch #: 0\n",
      "RMSE = 14626.7080078125 \n",
      "\n",
      "Epoch #: 1000\n",
      "RMSE = 12262.4619140625 \n",
      "\n",
      "Epoch #: 2000\n",
      "RMSE = 8263.2626953125 \n",
      "\n",
      "Epoch #: 3000\n",
      "RMSE = 7262.7734375 \n",
      "\n",
      "Epoch #: 4000\n",
      "RMSE = 6732.70849609375 \n",
      "\n",
      "Epoch #: 5000\n",
      "RMSE = 6210.37451171875 \n",
      "\n",
      "Epoch #: 6000\n",
      "RMSE = 5592.88134765625 \n",
      "\n",
      "Epoch #: 7000\n",
      "RMSE = 5068.30517578125 \n",
      "\n",
      "Epoch #: 8000\n",
      "RMSE = 4870.52392578125 \n",
      "\n",
      "Epoch #: 9000\n",
      "RMSE = 4777.14306640625 \n",
      "\n",
      "Epoch #: 10000\n",
      "RMSE = 4768.2158203125 \n",
      "\n",
      "Epoch #: 11000\n",
      "RMSE = 4744.2099609375 \n",
      "\n",
      "Epoch #: 12000\n",
      "RMSE = 4697.83935546875 \n",
      "\n",
      "Epoch #: 13000\n",
      "RMSE = 4654.517578125 \n",
      "\n",
      "Epoch #: 14000\n",
      "RMSE = 4601.91552734375 \n",
      "\n",
      "Epoch #: 15000\n",
      "RMSE = 4561.17138671875 \n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Создание класса нейронной сети с Dropout (\"выключением\" нейронов)\n",
    "class DropoutNeuralNet(nn.Module):\n",
    "    def __init__(self, in_neurons, hidden_neurons_1, hidden_neurons_2, out_neurons):\n",
    "        super(DropoutNeuralNet, self).__init__()\n",
    "        self.fc1 = nn.Linear(in_neurons, hidden_neurons_1)\n",
    "        self.drop1 = nn.Dropout(p=0.6)\n",
    "        self.ac1 = nn.LeakyReLU()\n",
    "        self.fc2 = nn.Linear(hidden_neurons_1, hidden_neurons_2)\n",
    "        self.drop2 = nn.Dropout(p=0.6)\n",
    "        self.ac2 = nn.LeakyReLU()\n",
    "        self.fc3 = nn.Linear(hidden_neurons_2, out_neurons)\n",
    "        self.ac3 = nn.LeakyReLU()\n",
    "    \n",
    "    def forward(self, x):\n",
    "        x = self.fc1(x)\n",
    "        x = self.drop1(x)\n",
    "        x = self.ac1(x)\n",
    "        x = self.fc2(x)\n",
    "        x = self.drop2(x)\n",
    "        x = self.ac2(x)\n",
    "        x = self.fc3(x)\n",
    "        x = self.ac3(x)\n",
    "        return x\n",
    "\n",
    "\n",
    "# Инициализация модели, весов, оптимизатора\n",
    "net = DropoutNeuralNet(in_neurons, hidden_neurons_1, hidden_neurons_2, out_neurons)\n",
    "net.apply(init_weights)\n",
    "optimizer = torch.optim.Adam(net.parameters(), lr=1e-3)\n",
    "\n",
    "dropout_nn_preds = batch_training(epochs_num=15001, epoch_test=1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "c66b9087",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Создание графика \"Факт-Прогноз\" по полученным результатам нейросети\n",
    "show_graph(dropout_nn_preds)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0ee4bacf",
   "metadata": {},
   "source": [
    "Метрика RMSE достигла значения около 4 500,но порог не проходит.\n",
    "\n",
    "Параметры модели на данном этапе:\n",
    "- Использование батчей;\n",
    "- \"Выключение\" части нейронов на каждом слое с помощью *Dropout*;\n",
    "- Общее количество эпох - 15 001; \n",
    "- Тестирование модели - каждые 1 000."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "accurate-infrastructure",
   "metadata": {},
   "source": [
    "<a name='conclusion'></a>\n",
    "## 6. Выводы\n",
    "[Введение](#introduction)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c2f19ba5",
   "metadata": {},
   "source": [
    "Всего было протестировано 4 модели нейронной сети (выводы по каждой модели с графиком по ссылке):\n",
    "1. [Базовая неройсеть](#basic_nn);\n",
    "2. [Нейросеть с использованием батчей](#batch_usage);\n",
    "3. [Нейросеть с нормализацией батчей](#batch_norm);\n",
    "4. [Нейросеть с \"выключением\" нейронов - *Dropout*](#dropout).\n",
    "\n",
    "<br>Некоторые параметры модели были идентичны для повышения интерпретабельности влияния изменений на конечную метрику - *RMSE*:\n",
    "1. Количество слоев и нейронов на каждом уровне:\n",
    "    - Количество входных нейронов - 17 (по количеству параметров);\n",
    "    - 1 скрытый слой - 8 нейронов;\n",
    "    - 2 скрытый слой - 5 нейронов;\n",
    "    - Количество выходных нейронов - 1.\n",
    "\n",
    "<br>Наилучший показатель по метрике *RMSE* - около 4 000 - продемонстрировала **нейросеть с использованием нормализации батчей** со следующими параметрами:\n",
    "- Использование батчей;\n",
    "- Нормализация батчей с помощью *nn.BatchNorm1d()*;\n",
    "- Общее количество эпох - 5 001;\n",
    "- Тестирование модели - каждый 500 эпох.\n",
    "\n",
    "<br>Также необходимый порог в 4 500 RMSE был пройден и **базовой нейронной сетью** и составил около 4 350. Параметры модели:\n",
    "- Общее количество эпох - 10 001;\n",
    "- Тестирование модели - каждые 1 000;\n",
    "- Значение RMSE - около 4 350.\n",
    "\n",
    "<br>Продемонстрируем график двух лучших моделей:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "31f49088",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Нейросеть с нормализацией батчей:\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Базовая нейронная сеть:\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print('\\nНейросеть с нормализацией батчей:')\n",
    "show_graph(batch_norm_nn_preds)\n",
    "\n",
    "print('Базовая нейронная сеть:')\n",
    "show_graph(basic_nn_preds)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dbb8b933",
   "metadata": {},
   "source": [
    "<h3>Рекомендация:</h3>\n",
    "\n",
    "Рекомендуется использовать **нейросеть с использованием нормализации батчей**, поскольку ее метрика ниже, а ресурсы на обучение и тестирование не столь значительны в отличие от **базовой нейронной сети**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "02ee9de6",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "ExecuteTimeLog": [
   {
    "duration": 43,
    "start_time": "2023-06-13T12:26:02.644Z"
   },
   {
    "duration": 405,
    "start_time": "2023-06-13T12:26:04.216Z"
   },
   {
    "duration": 70,
    "start_time": "2023-06-13T12:26:04.695Z"
   },
   {
    "duration": 33,
    "start_time": "2023-06-13T12:26:10.227Z"
   },
   {
    "duration": 27,
    "start_time": "2023-06-13T12:26:30.190Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-13T12:27:53.138Z"
   },
   {
    "duration": 28,
    "start_time": "2023-06-13T12:28:01.890Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-13T12:28:02.811Z"
   },
   {
    "duration": 27,
    "start_time": "2023-06-13T12:28:05.191Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-13T12:28:05.351Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-13T12:28:13.394Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-13T12:28:31.545Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-13T12:28:49.351Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-13T12:28:54.002Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-13T12:29:00.633Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-13T12:29:02.306Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-13T12:41:36.510Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-13T12:41:51.206Z"
   },
   {
    "duration": 33,
    "start_time": "2023-06-13T12:42:05.898Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-13T12:42:14.511Z"
   },
   {
    "duration": 20,
    "start_time": "2023-06-13T12:42:57.418Z"
   },
   {
    "duration": 30,
    "start_time": "2023-06-13T12:43:09.695Z"
   },
   {
    "duration": 24,
    "start_time": "2023-06-13T12:44:12.010Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-13T12:44:17.103Z"
   },
   {
    "duration": 22,
    "start_time": "2023-06-13T12:44:18.313Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-13T12:44:26.102Z"
   },
   {
    "duration": 30,
    "start_time": "2023-06-13T12:44:27.224Z"
   },
   {
    "duration": 40,
    "start_time": "2023-06-13T12:44:31.021Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-13T12:44:39.641Z"
   },
   {
    "duration": 25,
    "start_time": "2023-06-13T12:44:40.591Z"
   },
   {
    "duration": 34,
    "start_time": "2023-06-13T12:44:44.738Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-13T12:44:47.784Z"
   },
   {
    "duration": 24,
    "start_time": "2023-06-13T12:44:56.910Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-13T12:45:05.602Z"
   },
   {
    "duration": 22,
    "start_time": "2023-06-13T12:45:08.194Z"
   },
   {
    "duration": 19,
    "start_time": "2023-06-13T12:46:32.374Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-13T12:46:34.917Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-13T12:46:35.112Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-13T12:46:45.349Z"
   },
   {
    "duration": 31,
    "start_time": "2023-06-13T12:46:50.494Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-13T12:46:55.343Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-13T13:02:08.589Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-13T13:32:24.616Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-13T13:43:07.487Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-13T13:44:14.991Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-13T13:44:18.582Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-13T13:44:22.910Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-13T13:50:09.694Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-13T13:50:11.402Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-13T13:50:55.706Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-13T13:50:58.846Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-13T13:51:00.141Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-13T13:51:23.951Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-13T13:51:24.713Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-13T13:51:28.046Z"
   },
   {
    "duration": 43,
    "start_time": "2023-06-13T13:51:33.480Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-13T13:51:37.483Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-13T13:51:40.422Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-13T13:51:57.230Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-13T13:51:58.061Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-13T13:53:07.983Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-13T13:53:19.776Z"
   },
   {
    "duration": 33,
    "start_time": "2023-06-13T13:53:25.978Z"
   },
   {
    "duration": 2,
    "start_time": "2023-06-13T13:53:28.325Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-13T13:53:34.101Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-13T13:53:36.999Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-13T13:53:37.381Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-13T13:53:52.799Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-13T13:54:12.424Z"
   },
   {
    "duration": 76,
    "start_time": "2023-06-13T13:54:21.117Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-13T13:54:24.880Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-13T13:54:46.708Z"
   },
   {
    "duration": 2612,
    "start_time": "2023-06-13T14:06:21.730Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-13T14:08:23.281Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-13T14:08:29.318Z"
   },
   {
    "duration": 39,
    "start_time": "2023-06-13T14:08:31.140Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-13T14:09:53.178Z"
   },
   {
    "duration": 23,
    "start_time": "2023-06-13T14:09:53.995Z"
   },
   {
    "duration": 33,
    "start_time": "2023-06-13T14:10:10.484Z"
   },
   {
    "duration": 4226,
    "start_time": "2023-06-14T04:42:42.360Z"
   },
   {
    "duration": 85,
    "start_time": "2023-06-14T04:42:46.588Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-14T04:42:46.675Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-14T04:42:46.680Z"
   },
   {
    "duration": 61,
    "start_time": "2023-06-14T04:42:46.699Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-14T04:42:46.761Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-14T04:42:46.766Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-14T04:42:46.784Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-14T04:42:46.802Z"
   },
   {
    "duration": 18,
    "start_time": "2023-06-14T04:42:46.813Z"
   },
   {
    "duration": 30,
    "start_time": "2023-06-14T04:42:46.833Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-14T04:43:08.982Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-14T04:43:19.843Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-14T04:43:30.624Z"
   },
   {
    "duration": 577,
    "start_time": "2023-06-14T04:43:37.351Z"
   },
   {
    "duration": 281,
    "start_time": "2023-06-14T04:45:01.842Z"
   },
   {
    "duration": 80,
    "start_time": "2023-06-14T04:45:32.994Z"
   },
   {
    "duration": 237,
    "start_time": "2023-06-14T04:45:35.704Z"
   },
   {
    "duration": 309,
    "start_time": "2023-06-14T04:45:42.153Z"
   },
   {
    "duration": 300,
    "start_time": "2023-06-14T04:45:48.927Z"
   },
   {
    "duration": 220,
    "start_time": "2023-06-14T04:45:52.794Z"
   },
   {
    "duration": 236,
    "start_time": "2023-06-14T04:46:15.811Z"
   },
   {
    "duration": 94,
    "start_time": "2023-06-14T04:46:53.487Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-14T04:47:12.304Z"
   },
   {
    "duration": 239,
    "start_time": "2023-06-14T04:47:37.170Z"
   },
   {
    "duration": 230,
    "start_time": "2023-06-14T04:47:44.037Z"
   },
   {
    "duration": 376,
    "start_time": "2023-06-14T04:47:50.690Z"
   },
   {
    "duration": 79,
    "start_time": "2023-06-14T04:47:57.428Z"
   },
   {
    "duration": 401,
    "start_time": "2023-06-14T04:48:00.377Z"
   },
   {
    "duration": 254,
    "start_time": "2023-06-14T04:48:06.907Z"
   },
   {
    "duration": 242,
    "start_time": "2023-06-14T04:48:19.724Z"
   },
   {
    "duration": 232,
    "start_time": "2023-06-14T04:48:22.309Z"
   },
   {
    "duration": 250,
    "start_time": "2023-06-14T04:49:23.850Z"
   },
   {
    "duration": 245,
    "start_time": "2023-06-14T04:49:30.132Z"
   },
   {
    "duration": 429,
    "start_time": "2023-06-14T04:49:40.478Z"
   },
   {
    "duration": 397,
    "start_time": "2023-06-14T04:49:48.685Z"
   },
   {
    "duration": 231,
    "start_time": "2023-06-14T04:49:50.636Z"
   },
   {
    "duration": 350,
    "start_time": "2023-06-14T04:50:17.645Z"
   },
   {
    "duration": 216,
    "start_time": "2023-06-14T04:50:35.389Z"
   },
   {
    "duration": 241,
    "start_time": "2023-06-14T04:50:51.748Z"
   },
   {
    "duration": 239,
    "start_time": "2023-06-14T04:54:12.217Z"
   },
   {
    "duration": 283,
    "start_time": "2023-06-14T04:58:08.351Z"
   },
   {
    "duration": 219,
    "start_time": "2023-06-14T04:59:54.033Z"
   },
   {
    "duration": 219,
    "start_time": "2023-06-14T05:00:05.215Z"
   },
   {
    "duration": 267,
    "start_time": "2023-06-14T05:00:10.069Z"
   },
   {
    "duration": 146,
    "start_time": "2023-06-14T05:00:27.710Z"
   },
   {
    "duration": 2908,
    "start_time": "2023-06-14T05:00:47.448Z"
   },
   {
    "duration": 711,
    "start_time": "2023-06-14T05:00:57.786Z"
   },
   {
    "duration": 114,
    "start_time": "2023-06-14T05:01:03.464Z"
   },
   {
    "duration": 3002,
    "start_time": "2023-06-14T05:01:06.943Z"
   },
   {
    "duration": 296,
    "start_time": "2023-06-14T05:01:10.271Z"
   },
   {
    "duration": 227,
    "start_time": "2023-06-14T05:01:20.015Z"
   },
   {
    "duration": 149,
    "start_time": "2023-06-14T05:01:24.737Z"
   },
   {
    "duration": 3012,
    "start_time": "2023-06-14T05:01:28.992Z"
   },
   {
    "duration": 149,
    "start_time": "2023-06-14T05:01:33.639Z"
   },
   {
    "duration": 163,
    "start_time": "2023-06-14T05:02:25.633Z"
   },
   {
    "duration": 182,
    "start_time": "2023-06-14T05:02:51.868Z"
   },
   {
    "duration": 188,
    "start_time": "2023-06-14T05:03:12.140Z"
   },
   {
    "duration": 454,
    "start_time": "2023-06-14T05:03:18.439Z"
   },
   {
    "duration": 118,
    "start_time": "2023-06-14T05:04:13.492Z"
   },
   {
    "duration": 237,
    "start_time": "2023-06-14T05:04:22.226Z"
   },
   {
    "duration": 201,
    "start_time": "2023-06-14T05:04:28.471Z"
   },
   {
    "duration": 151,
    "start_time": "2023-06-14T05:04:37.849Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-14T05:05:46.326Z"
   },
   {
    "duration": 99,
    "start_time": "2023-06-14T05:06:03.788Z"
   },
   {
    "duration": 136,
    "start_time": "2023-06-14T05:06:05.776Z"
   },
   {
    "duration": 130,
    "start_time": "2023-06-14T05:06:22.337Z"
   },
   {
    "duration": 184,
    "start_time": "2023-06-14T05:06:28.791Z"
   },
   {
    "duration": 91,
    "start_time": "2023-06-14T05:07:55.773Z"
   },
   {
    "duration": 260,
    "start_time": "2023-06-14T05:08:00.367Z"
   },
   {
    "duration": 250,
    "start_time": "2023-06-14T05:08:07.835Z"
   },
   {
    "duration": 162,
    "start_time": "2023-06-14T05:08:35.409Z"
   },
   {
    "duration": 171,
    "start_time": "2023-06-14T05:08:43.572Z"
   },
   {
    "duration": 284,
    "start_time": "2023-06-14T05:08:52.920Z"
   },
   {
    "duration": 294,
    "start_time": "2023-06-14T05:09:36.809Z"
   },
   {
    "duration": 306,
    "start_time": "2023-06-14T05:09:42.490Z"
   },
   {
    "duration": 235,
    "start_time": "2023-06-14T05:09:48.010Z"
   },
   {
    "duration": 166,
    "start_time": "2023-06-14T05:09:56.322Z"
   },
   {
    "duration": 166,
    "start_time": "2023-06-14T05:10:02.846Z"
   },
   {
    "duration": 131,
    "start_time": "2023-06-14T05:11:05.543Z"
   },
   {
    "duration": 175,
    "start_time": "2023-06-14T05:11:43.850Z"
   },
   {
    "duration": 155,
    "start_time": "2023-06-14T05:11:53.782Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-14T05:12:02.085Z"
   },
   {
    "duration": 124,
    "start_time": "2023-06-14T05:12:04.486Z"
   },
   {
    "duration": 160,
    "start_time": "2023-06-14T05:12:10.134Z"
   },
   {
    "duration": 157,
    "start_time": "2023-06-14T05:15:21.358Z"
   },
   {
    "duration": 260,
    "start_time": "2023-06-14T05:15:26.090Z"
   },
   {
    "duration": 147,
    "start_time": "2023-06-14T05:41:04.587Z"
   },
   {
    "duration": 304,
    "start_time": "2023-06-14T05:41:14.659Z"
   },
   {
    "duration": 152,
    "start_time": "2023-06-14T05:41:22.174Z"
   },
   {
    "duration": 180,
    "start_time": "2023-06-14T05:41:43.654Z"
   },
   {
    "duration": 190,
    "start_time": "2023-06-14T05:42:09.888Z"
   },
   {
    "duration": 170,
    "start_time": "2023-06-14T05:42:31.923Z"
   },
   {
    "duration": 222,
    "start_time": "2023-06-14T05:42:39.862Z"
   },
   {
    "duration": 190,
    "start_time": "2023-06-14T05:42:48.132Z"
   },
   {
    "duration": 182,
    "start_time": "2023-06-14T05:42:57.166Z"
   },
   {
    "duration": 114,
    "start_time": "2023-06-14T05:43:04.761Z"
   },
   {
    "duration": 126,
    "start_time": "2023-06-14T05:43:07.149Z"
   },
   {
    "duration": 112,
    "start_time": "2023-06-14T05:43:09.830Z"
   },
   {
    "duration": 193,
    "start_time": "2023-06-14T05:43:12.336Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-14T05:45:15.800Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-14T05:45:29.574Z"
   },
   {
    "duration": 46,
    "start_time": "2023-06-14T18:49:00.974Z"
   },
   {
    "duration": 2217,
    "start_time": "2023-06-14T18:49:14.470Z"
   },
   {
    "duration": 89,
    "start_time": "2023-06-14T18:49:16.689Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-14T18:49:16.779Z"
   },
   {
    "duration": 15,
    "start_time": "2023-06-14T18:49:16.783Z"
   },
   {
    "duration": 40,
    "start_time": "2023-06-14T18:49:16.800Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-14T18:49:16.842Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-14T18:49:16.846Z"
   },
   {
    "duration": 20,
    "start_time": "2023-06-14T18:49:16.854Z"
   },
   {
    "duration": 19,
    "start_time": "2023-06-14T18:49:16.876Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-14T18:49:16.896Z"
   },
   {
    "duration": 22,
    "start_time": "2023-06-14T18:49:16.903Z"
   },
   {
    "duration": 361,
    "start_time": "2023-06-14T18:49:16.929Z"
   },
   {
    "duration": 169,
    "start_time": "2023-06-14T18:49:17.292Z"
   },
   {
    "duration": 192,
    "start_time": "2023-06-14T18:49:17.464Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-14T18:49:17.658Z"
   },
   {
    "duration": 221,
    "start_time": "2023-06-14T18:49:17.666Z"
   },
   {
    "duration": 129,
    "start_time": "2023-06-14T18:49:28.764Z"
   },
   {
    "duration": 183,
    "start_time": "2023-06-14T18:49:36.470Z"
   },
   {
    "duration": 149,
    "start_time": "2023-06-14T18:49:58.639Z"
   },
   {
    "duration": 108,
    "start_time": "2023-06-14T18:50:23.055Z"
   },
   {
    "duration": 165,
    "start_time": "2023-06-14T18:50:26.194Z"
   },
   {
    "duration": 136,
    "start_time": "2023-06-14T18:50:33.145Z"
   },
   {
    "duration": 135,
    "start_time": "2023-06-14T18:50:40.652Z"
   },
   {
    "duration": 154,
    "start_time": "2023-06-14T18:51:27.894Z"
   },
   {
    "duration": 174,
    "start_time": "2023-06-14T18:51:57.270Z"
   },
   {
    "duration": 158,
    "start_time": "2023-06-14T18:52:12.453Z"
   },
   {
    "duration": 113,
    "start_time": "2023-06-14T18:52:57.738Z"
   },
   {
    "duration": 155,
    "start_time": "2023-06-14T18:53:03.696Z"
   },
   {
    "duration": 158,
    "start_time": "2023-06-14T18:53:08.525Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-14T18:56:48.098Z"
   },
   {
    "duration": 204,
    "start_time": "2023-06-14T18:57:43.713Z"
   },
   {
    "duration": 212,
    "start_time": "2023-06-14T18:58:04.802Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-14T18:59:25.151Z"
   },
   {
    "duration": 321,
    "start_time": "2023-06-14T18:59:32.795Z"
   },
   {
    "duration": 140,
    "start_time": "2023-06-14T18:59:37.082Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-14T18:59:57.603Z"
   },
   {
    "duration": 244,
    "start_time": "2023-06-14T18:59:58.230Z"
   },
   {
    "duration": 136,
    "start_time": "2023-06-14T19:00:02.830Z"
   },
   {
    "duration": 298,
    "start_time": "2023-06-14T19:00:44.483Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-14T19:01:19.639Z"
   },
   {
    "duration": 321,
    "start_time": "2023-06-14T19:01:20.399Z"
   },
   {
    "duration": 315,
    "start_time": "2023-06-14T19:01:36.020Z"
   },
   {
    "duration": 145,
    "start_time": "2023-06-14T19:01:41.821Z"
   },
   {
    "duration": 152,
    "start_time": "2023-06-14T19:02:18.121Z"
   },
   {
    "duration": 408,
    "start_time": "2023-06-14T19:02:32.751Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-14T19:16:20.452Z"
   },
   {
    "duration": 157,
    "start_time": "2023-06-14T19:18:15.789Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-14T19:23:45.120Z"
   },
   {
    "duration": 3116,
    "start_time": "2023-06-14T19:23:51.847Z"
   },
   {
    "duration": 597,
    "start_time": "2023-06-14T19:23:56.963Z"
   },
   {
    "duration": 646,
    "start_time": "2023-06-14T19:24:56.282Z"
   },
   {
    "duration": 135,
    "start_time": "2023-06-14T19:28:24.217Z"
   },
   {
    "duration": 79,
    "start_time": "2023-06-15T12:46:18.222Z"
   },
   {
    "duration": 1898,
    "start_time": "2023-06-15T12:46:32.034Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-15T12:46:33.934Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-15T12:46:33.936Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-15T12:46:33.938Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-15T12:46:33.939Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-15T12:46:33.941Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-15T12:46:33.942Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-15T12:46:33.943Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-15T12:46:33.944Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-15T12:46:33.945Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-15T12:46:33.946Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-15T12:46:33.947Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-15T12:46:33.948Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-15T12:46:33.949Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-15T12:46:33.950Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-15T12:46:33.950Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-15T12:46:33.951Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-15T12:46:33.952Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-15T12:46:33.953Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-15T12:46:33.954Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-15T12:46:33.955Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-15T12:49:03.024Z"
   },
   {
    "duration": 3755,
    "start_time": "2023-06-15T12:49:17.729Z"
   },
   {
    "duration": 2625,
    "start_time": "2023-06-15T12:49:29.306Z"
   },
   {
    "duration": 2020,
    "start_time": "2023-06-15T12:49:31.933Z"
   },
   {
    "duration": 95,
    "start_time": "2023-06-15T12:49:33.961Z"
   },
   {
    "duration": 21,
    "start_time": "2023-06-15T12:49:34.058Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-15T12:49:34.082Z"
   },
   {
    "duration": 40,
    "start_time": "2023-06-15T12:49:34.095Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-15T12:49:34.137Z"
   },
   {
    "duration": 16,
    "start_time": "2023-06-15T12:49:34.149Z"
   },
   {
    "duration": 16,
    "start_time": "2023-06-15T12:49:34.167Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-15T12:49:34.185Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-15T12:49:34.200Z"
   },
   {
    "duration": 25,
    "start_time": "2023-06-15T12:49:34.211Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-15T12:49:34.239Z"
   },
   {
    "duration": 520,
    "start_time": "2023-06-15T12:49:34.256Z"
   },
   {
    "duration": 219,
    "start_time": "2023-06-15T12:49:34.778Z"
   },
   {
    "duration": 224,
    "start_time": "2023-06-15T12:49:34.999Z"
   },
   {
    "duration": 26,
    "start_time": "2023-06-15T12:49:35.225Z"
   },
   {
    "duration": 544,
    "start_time": "2023-06-15T12:49:35.257Z"
   },
   {
    "duration": 211,
    "start_time": "2023-06-15T12:49:35.804Z"
   },
   {
    "duration": 175,
    "start_time": "2023-06-15T12:49:36.018Z"
   },
   {
    "duration": 811,
    "start_time": "2023-06-15T12:49:36.196Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-15T12:49:37.009Z"
   },
   {
    "duration": 190,
    "start_time": "2023-06-15T12:49:37.017Z"
   },
   {
    "duration": 61,
    "start_time": "2023-06-15T12:49:58.228Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-15T12:50:17.839Z"
   },
   {
    "duration": 29,
    "start_time": "2023-06-15T12:51:47.166Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-15T12:56:20.203Z"
   },
   {
    "duration": 24,
    "start_time": "2023-06-15T12:56:29.033Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-15T12:56:46.277Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-15T12:57:03.705Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-15T12:57:05.904Z"
   },
   {
    "duration": 16,
    "start_time": "2023-06-15T12:59:04.051Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-15T12:59:20.119Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-15T13:00:47.351Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-15T13:01:07.776Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-15T13:02:10.972Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-15T13:03:17.314Z"
   },
   {
    "duration": 19,
    "start_time": "2023-06-15T13:03:20.801Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-15T13:03:23.529Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-15T13:03:28.411Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-15T13:04:21.505Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-15T13:04:23.218Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-15T13:04:59.336Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-15T13:05:07.486Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-15T13:06:52.035Z"
   },
   {
    "duration": 74,
    "start_time": "2023-06-15T13:09:14.820Z"
   },
   {
    "duration": 3135,
    "start_time": "2023-06-15T15:22:26.718Z"
   },
   {
    "duration": 2167,
    "start_time": "2023-06-15T15:22:29.855Z"
   },
   {
    "duration": 81,
    "start_time": "2023-06-15T15:22:32.023Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-15T15:22:32.106Z"
   },
   {
    "duration": 28,
    "start_time": "2023-06-15T15:22:32.111Z"
   },
   {
    "duration": 35,
    "start_time": "2023-06-15T15:22:32.141Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-15T15:22:32.177Z"
   },
   {
    "duration": 50,
    "start_time": "2023-06-15T15:22:32.189Z"
   },
   {
    "duration": 54,
    "start_time": "2023-06-15T15:22:32.240Z"
   },
   {
    "duration": 21,
    "start_time": "2023-06-15T15:22:32.298Z"
   },
   {
    "duration": 73,
    "start_time": "2023-06-15T15:22:32.321Z"
   },
   {
    "duration": 20,
    "start_time": "2023-06-15T15:22:32.395Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-15T15:22:32.417Z"
   },
   {
    "duration": 374,
    "start_time": "2023-06-15T15:22:32.433Z"
   },
   {
    "duration": 163,
    "start_time": "2023-06-15T15:22:32.810Z"
   },
   {
    "duration": 173,
    "start_time": "2023-06-15T15:22:32.976Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-15T15:22:33.153Z"
   },
   {
    "duration": 500,
    "start_time": "2023-06-15T15:22:33.161Z"
   },
   {
    "duration": 178,
    "start_time": "2023-06-15T15:22:33.663Z"
   },
   {
    "duration": 156,
    "start_time": "2023-06-15T15:22:33.843Z"
   },
   {
    "duration": 730,
    "start_time": "2023-06-15T15:22:34.001Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-15T15:22:34.733Z"
   },
   {
    "duration": 20,
    "start_time": "2023-06-15T15:22:34.741Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-15T15:22:34.763Z"
   },
   {
    "duration": 20,
    "start_time": "2023-06-15T15:25:26.017Z"
   },
   {
    "duration": 58,
    "start_time": "2023-06-15T19:13:36.814Z"
   },
   {
    "duration": 2937,
    "start_time": "2023-06-15T19:13:40.307Z"
   },
   {
    "duration": 1787,
    "start_time": "2023-06-15T19:13:43.246Z"
   },
   {
    "duration": 81,
    "start_time": "2023-06-15T19:13:45.035Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-15T19:13:45.117Z"
   },
   {
    "duration": 31,
    "start_time": "2023-06-15T19:13:45.132Z"
   },
   {
    "duration": 56,
    "start_time": "2023-06-15T19:13:45.165Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-15T19:13:45.224Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-15T19:13:45.239Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-15T19:13:45.255Z"
   },
   {
    "duration": 21,
    "start_time": "2023-06-15T19:13:45.270Z"
   },
   {
    "duration": 18,
    "start_time": "2023-06-15T19:13:45.293Z"
   },
   {
    "duration": 27,
    "start_time": "2023-06-15T19:13:45.313Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-15T19:13:45.342Z"
   },
   {
    "duration": 332,
    "start_time": "2023-06-15T19:13:45.357Z"
   },
   {
    "duration": 145,
    "start_time": "2023-06-15T19:13:45.691Z"
   },
   {
    "duration": 159,
    "start_time": "2023-06-15T19:13:45.837Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-15T19:13:45.997Z"
   },
   {
    "duration": 399,
    "start_time": "2023-06-15T19:13:46.003Z"
   },
   {
    "duration": 162,
    "start_time": "2023-06-15T19:13:46.403Z"
   },
   {
    "duration": 133,
    "start_time": "2023-06-15T19:13:46.566Z"
   },
   {
    "duration": 631,
    "start_time": "2023-06-15T19:13:46.701Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-15T19:13:47.334Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-15T19:13:47.342Z"
   },
   {
    "duration": 86,
    "start_time": "2023-06-15T19:13:47.354Z"
   },
   {
    "duration": 140,
    "start_time": "2023-06-15T19:13:47.441Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-15T19:14:09.043Z"
   },
   {
    "duration": 23,
    "start_time": "2023-06-15T19:17:18.132Z"
   },
   {
    "duration": 995,
    "start_time": "2023-06-15T19:24:28.507Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-15T19:24:51.120Z"
   },
   {
    "duration": 25,
    "start_time": "2023-06-15T19:25:05.209Z"
   },
   {
    "duration": 23,
    "start_time": "2023-06-15T19:25:23.703Z"
   },
   {
    "duration": 20,
    "start_time": "2023-06-15T19:25:28.039Z"
   },
   {
    "duration": 15,
    "start_time": "2023-06-15T19:25:50.443Z"
   },
   {
    "duration": 21,
    "start_time": "2023-06-15T19:25:59.823Z"
   },
   {
    "duration": 25,
    "start_time": "2023-06-15T19:27:07.520Z"
   },
   {
    "duration": 23,
    "start_time": "2023-06-15T19:27:22.051Z"
   },
   {
    "duration": 29,
    "start_time": "2023-06-15T19:27:46.327Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-15T19:28:23.134Z"
   },
   {
    "duration": 21,
    "start_time": "2023-06-15T19:28:38.155Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-15T19:28:50.402Z"
   },
   {
    "duration": 15,
    "start_time": "2023-06-15T19:28:56.493Z"
   },
   {
    "duration": 21,
    "start_time": "2023-06-15T19:30:30.818Z"
   },
   {
    "duration": 18,
    "start_time": "2023-06-15T19:30:39.694Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-15T19:31:50.293Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-15T19:31:53.450Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-15T19:32:26.323Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-15T19:32:33.433Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-15T19:32:35.450Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-15T19:32:41.122Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-15T19:32:58.218Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-15T19:32:58.905Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-15T19:33:02.652Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-15T19:33:06.943Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-15T19:33:13.634Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-15T19:33:25.757Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-15T19:33:40.532Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-15T19:33:51.603Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-15T19:34:06.533Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-15T19:34:09.398Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-15T19:34:13.310Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-15T19:34:20.933Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-15T19:34:34.110Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-15T19:35:08.806Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-15T19:35:46.345Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-15T19:36:27.295Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-15T19:36:30.205Z"
   },
   {
    "duration": 15,
    "start_time": "2023-06-15T19:36:30.598Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-15T19:39:08.096Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-15T19:39:10.029Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-15T19:39:27.801Z"
   },
   {
    "duration": 15,
    "start_time": "2023-06-15T19:43:58.146Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-15T19:44:05.083Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-15T19:44:44.318Z"
   },
   {
    "duration": 16,
    "start_time": "2023-06-15T19:44:49.246Z"
   },
   {
    "duration": 28,
    "start_time": "2023-06-15T19:45:00.410Z"
   },
   {
    "duration": 30,
    "start_time": "2023-06-15T19:45:16.502Z"
   },
   {
    "duration": 25,
    "start_time": "2023-06-15T19:45:28.341Z"
   },
   {
    "duration": 20,
    "start_time": "2023-06-15T19:46:51.506Z"
   },
   {
    "duration": 3070,
    "start_time": "2023-06-16T14:02:41.470Z"
   },
   {
    "duration": 2174,
    "start_time": "2023-06-16T14:02:44.542Z"
   },
   {
    "duration": 81,
    "start_time": "2023-06-16T14:02:46.720Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-16T14:02:46.803Z"
   },
   {
    "duration": 37,
    "start_time": "2023-06-16T14:02:46.808Z"
   },
   {
    "duration": 25,
    "start_time": "2023-06-16T14:02:46.846Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-16T14:02:46.872Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-16T14:02:46.877Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-16T14:02:46.888Z"
   },
   {
    "duration": 27,
    "start_time": "2023-06-16T14:02:46.904Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-16T14:02:46.934Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-16T14:02:46.945Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T14:02:46.954Z"
   },
   {
    "duration": 328,
    "start_time": "2023-06-16T14:02:46.961Z"
   },
   {
    "duration": 164,
    "start_time": "2023-06-16T14:02:47.290Z"
   },
   {
    "duration": 169,
    "start_time": "2023-06-16T14:02:47.456Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T14:02:47.636Z"
   },
   {
    "duration": 414,
    "start_time": "2023-06-16T14:02:47.643Z"
   },
   {
    "duration": 186,
    "start_time": "2023-06-16T14:02:48.059Z"
   },
   {
    "duration": 143,
    "start_time": "2023-06-16T14:02:48.247Z"
   },
   {
    "duration": 658,
    "start_time": "2023-06-16T14:02:48.391Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-16T14:02:49.053Z"
   },
   {
    "duration": 266,
    "start_time": "2023-06-16T14:02:49.058Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-16T14:02:49.325Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-16T14:02:49.326Z"
   },
   {
    "duration": 28,
    "start_time": "2023-06-16T14:03:22.963Z"
   },
   {
    "duration": 3212,
    "start_time": "2023-06-16T14:03:33.988Z"
   },
   {
    "duration": 18,
    "start_time": "2023-06-16T14:03:42.242Z"
   },
   {
    "duration": 19,
    "start_time": "2023-06-16T14:03:45.978Z"
   },
   {
    "duration": 33,
    "start_time": "2023-06-16T14:03:55.392Z"
   },
   {
    "duration": 26,
    "start_time": "2023-06-16T14:04:01.117Z"
   },
   {
    "duration": 22,
    "start_time": "2023-06-16T14:04:32.249Z"
   },
   {
    "duration": 27,
    "start_time": "2023-06-16T14:04:58.898Z"
   },
   {
    "duration": 18,
    "start_time": "2023-06-16T14:05:20.043Z"
   },
   {
    "duration": 25,
    "start_time": "2023-06-16T14:05:24.046Z"
   },
   {
    "duration": 27,
    "start_time": "2023-06-16T14:05:36.461Z"
   },
   {
    "duration": 28,
    "start_time": "2023-06-16T14:05:53.913Z"
   },
   {
    "duration": 24,
    "start_time": "2023-06-16T14:05:58.474Z"
   },
   {
    "duration": 26,
    "start_time": "2023-06-16T14:06:09.960Z"
   },
   {
    "duration": 21,
    "start_time": "2023-06-16T14:06:26.607Z"
   },
   {
    "duration": 37,
    "start_time": "2023-06-16T14:06:33.402Z"
   },
   {
    "duration": 39,
    "start_time": "2023-06-16T14:06:51.714Z"
   },
   {
    "duration": 20,
    "start_time": "2023-06-16T14:07:17.780Z"
   },
   {
    "duration": 21,
    "start_time": "2023-06-16T14:07:22.995Z"
   },
   {
    "duration": 21,
    "start_time": "2023-06-16T14:07:33.328Z"
   },
   {
    "duration": 21,
    "start_time": "2023-06-16T14:07:50.298Z"
   },
   {
    "duration": 39,
    "start_time": "2023-06-16T14:09:07.498Z"
   },
   {
    "duration": 49,
    "start_time": "2023-06-16T14:09:16.699Z"
   },
   {
    "duration": 41,
    "start_time": "2023-06-16T14:10:28.305Z"
   },
   {
    "duration": 15,
    "start_time": "2023-06-16T14:12:10.956Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-16T14:12:31.639Z"
   },
   {
    "duration": 19,
    "start_time": "2023-06-16T14:13:01.235Z"
   },
   {
    "duration": 30,
    "start_time": "2023-06-16T14:13:36.612Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-16T14:13:43.575Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-16T14:13:51.339Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-16T14:13:56.583Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T14:13:59.744Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-16T14:14:18.893Z"
   },
   {
    "duration": 45,
    "start_time": "2023-06-16T14:14:19.333Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-16T14:14:30.208Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-16T14:14:34.811Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T14:15:20.400Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-16T14:15:21.320Z"
   },
   {
    "duration": 25,
    "start_time": "2023-06-16T14:15:21.935Z"
   },
   {
    "duration": 20,
    "start_time": "2023-06-16T14:17:34.972Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T14:17:36.139Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-16T14:17:36.836Z"
   },
   {
    "duration": 52,
    "start_time": "2023-06-16T14:17:37.102Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-16T14:19:08.100Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-16T14:19:10.340Z"
   },
   {
    "duration": 28,
    "start_time": "2023-06-16T14:19:13.405Z"
   },
   {
    "duration": 18,
    "start_time": "2023-06-16T14:19:43.007Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-16T14:19:43.266Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-16T14:19:44.341Z"
   },
   {
    "duration": 36,
    "start_time": "2023-06-16T14:19:44.535Z"
   },
   {
    "duration": 20,
    "start_time": "2023-06-16T14:19:53.235Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T14:19:53.835Z"
   },
   {
    "duration": 28,
    "start_time": "2023-06-16T14:19:54.093Z"
   },
   {
    "duration": 15,
    "start_time": "2023-06-16T14:20:09.948Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T14:20:10.655Z"
   },
   {
    "duration": 24,
    "start_time": "2023-06-16T14:20:11.192Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-16T14:20:21.734Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T14:20:25.826Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-16T14:20:31.797Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T14:20:35.752Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-16T14:20:38.904Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-16T14:20:43.374Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-16T14:20:53.150Z"
   },
   {
    "duration": 28,
    "start_time": "2023-06-16T14:21:13.636Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-16T14:21:59.558Z"
   },
   {
    "duration": 21,
    "start_time": "2023-06-16T14:22:03.662Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-16T14:22:34.886Z"
   },
   {
    "duration": 15,
    "start_time": "2023-06-16T14:22:51.962Z"
   },
   {
    "duration": 27,
    "start_time": "2023-06-16T14:23:16.754Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-16T14:23:43.016Z"
   },
   {
    "duration": 35,
    "start_time": "2023-06-16T14:23:43.561Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-16T14:23:59.099Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-16T14:24:06.094Z"
   },
   {
    "duration": 42,
    "start_time": "2023-06-16T14:24:08.619Z"
   },
   {
    "duration": 26,
    "start_time": "2023-06-16T14:24:21.163Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-16T14:24:43.204Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-16T14:24:45.543Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-16T14:24:47.287Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-16T14:24:52.184Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-16T14:24:55.948Z"
   },
   {
    "duration": 22,
    "start_time": "2023-06-16T14:24:59.318Z"
   },
   {
    "duration": 36,
    "start_time": "2023-06-16T14:24:59.535Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-16T14:27:01.652Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T14:27:06.949Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T14:27:11.944Z"
   },
   {
    "duration": 28,
    "start_time": "2023-06-16T14:27:12.397Z"
   },
   {
    "duration": 63,
    "start_time": "2023-06-16T14:27:22.510Z"
   },
   {
    "duration": 32,
    "start_time": "2023-06-16T14:27:46.048Z"
   },
   {
    "duration": 487,
    "start_time": "2023-06-16T14:34:46.139Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T14:34:57.276Z"
   },
   {
    "duration": 421,
    "start_time": "2023-06-16T14:34:57.714Z"
   },
   {
    "duration": 2109,
    "start_time": "2023-06-16T14:35:03.860Z"
   },
   {
    "duration": 1770,
    "start_time": "2023-06-16T14:35:05.972Z"
   },
   {
    "duration": 40,
    "start_time": "2023-06-16T14:35:07.744Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-16T14:35:07.787Z"
   },
   {
    "duration": 19,
    "start_time": "2023-06-16T14:35:07.793Z"
   },
   {
    "duration": 53,
    "start_time": "2023-06-16T14:35:07.814Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-16T14:35:07.868Z"
   },
   {
    "duration": 26,
    "start_time": "2023-06-16T14:35:07.874Z"
   },
   {
    "duration": 28,
    "start_time": "2023-06-16T14:35:07.902Z"
   },
   {
    "duration": 29,
    "start_time": "2023-06-16T14:35:07.933Z"
   },
   {
    "duration": 58,
    "start_time": "2023-06-16T14:35:07.964Z"
   },
   {
    "duration": 65,
    "start_time": "2023-06-16T14:35:08.024Z"
   },
   {
    "duration": 47,
    "start_time": "2023-06-16T14:35:08.090Z"
   },
   {
    "duration": 378,
    "start_time": "2023-06-16T14:35:08.139Z"
   },
   {
    "duration": 159,
    "start_time": "2023-06-16T14:35:08.519Z"
   },
   {
    "duration": 179,
    "start_time": "2023-06-16T14:35:08.679Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T14:35:08.860Z"
   },
   {
    "duration": 457,
    "start_time": "2023-06-16T14:35:08.867Z"
   },
   {
    "duration": 211,
    "start_time": "2023-06-16T14:35:09.326Z"
   },
   {
    "duration": 156,
    "start_time": "2023-06-16T14:35:09.539Z"
   },
   {
    "duration": 655,
    "start_time": "2023-06-16T14:35:09.697Z"
   },
   {
    "duration": 112,
    "start_time": "2023-06-16T14:35:10.353Z"
   },
   {
    "duration": 27,
    "start_time": "2023-06-16T14:35:10.466Z"
   },
   {
    "duration": 56,
    "start_time": "2023-06-16T14:35:10.495Z"
   },
   {
    "duration": 406,
    "start_time": "2023-06-16T14:35:10.552Z"
   },
   {
    "duration": 392,
    "start_time": "2023-06-16T14:35:20.954Z"
   },
   {
    "duration": 2157,
    "start_time": "2023-06-16T14:35:27.414Z"
   },
   {
    "duration": 1896,
    "start_time": "2023-06-16T14:35:29.574Z"
   },
   {
    "duration": 41,
    "start_time": "2023-06-16T14:35:31.472Z"
   },
   {
    "duration": 33,
    "start_time": "2023-06-16T14:35:31.515Z"
   },
   {
    "duration": 28,
    "start_time": "2023-06-16T14:35:31.549Z"
   },
   {
    "duration": 36,
    "start_time": "2023-06-16T14:35:31.579Z"
   },
   {
    "duration": 32,
    "start_time": "2023-06-16T14:35:31.617Z"
   },
   {
    "duration": 36,
    "start_time": "2023-06-16T14:35:31.651Z"
   },
   {
    "duration": 109,
    "start_time": "2023-06-16T14:35:31.689Z"
   },
   {
    "duration": 106,
    "start_time": "2023-06-16T14:35:31.802Z"
   },
   {
    "duration": 53,
    "start_time": "2023-06-16T14:35:31.910Z"
   },
   {
    "duration": 27,
    "start_time": "2023-06-16T14:35:31.965Z"
   },
   {
    "duration": 51,
    "start_time": "2023-06-16T14:35:31.993Z"
   },
   {
    "duration": 391,
    "start_time": "2023-06-16T14:35:32.046Z"
   },
   {
    "duration": 215,
    "start_time": "2023-06-16T14:35:32.439Z"
   },
   {
    "duration": 217,
    "start_time": "2023-06-16T14:35:32.656Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-16T14:35:32.875Z"
   },
   {
    "duration": 568,
    "start_time": "2023-06-16T14:35:32.883Z"
   },
   {
    "duration": 188,
    "start_time": "2023-06-16T14:35:33.453Z"
   },
   {
    "duration": 168,
    "start_time": "2023-06-16T14:35:33.647Z"
   },
   {
    "duration": 665,
    "start_time": "2023-06-16T14:35:33.819Z"
   },
   {
    "duration": 116,
    "start_time": "2023-06-16T14:35:34.485Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T14:35:34.602Z"
   },
   {
    "duration": 541,
    "start_time": "2023-06-16T14:35:34.619Z"
   },
   {
    "duration": 24,
    "start_time": "2023-06-16T14:37:32.443Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-16T14:37:37.566Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-16T14:37:39.943Z"
   },
   {
    "duration": 496,
    "start_time": "2023-06-16T14:37:40.139Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-16T14:37:53.238Z"
   },
   {
    "duration": 2375,
    "start_time": "2023-06-16T14:37:58.978Z"
   },
   {
    "duration": 1753,
    "start_time": "2023-06-16T14:38:01.355Z"
   },
   {
    "duration": 50,
    "start_time": "2023-06-16T14:38:03.109Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-16T14:38:03.161Z"
   },
   {
    "duration": 31,
    "start_time": "2023-06-16T14:38:03.168Z"
   },
   {
    "duration": 39,
    "start_time": "2023-06-16T14:38:03.200Z"
   },
   {
    "duration": 20,
    "start_time": "2023-06-16T14:38:03.241Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-16T14:38:03.263Z"
   },
   {
    "duration": 42,
    "start_time": "2023-06-16T14:38:03.277Z"
   },
   {
    "duration": 45,
    "start_time": "2023-06-16T14:38:03.325Z"
   },
   {
    "duration": 34,
    "start_time": "2023-06-16T14:38:03.371Z"
   },
   {
    "duration": 35,
    "start_time": "2023-06-16T14:38:03.407Z"
   },
   {
    "duration": 21,
    "start_time": "2023-06-16T14:38:03.444Z"
   },
   {
    "duration": 372,
    "start_time": "2023-06-16T14:38:03.468Z"
   },
   {
    "duration": 147,
    "start_time": "2023-06-16T14:38:03.842Z"
   },
   {
    "duration": 169,
    "start_time": "2023-06-16T14:38:03.990Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T14:38:04.161Z"
   },
   {
    "duration": 412,
    "start_time": "2023-06-16T14:38:04.168Z"
   },
   {
    "duration": 170,
    "start_time": "2023-06-16T14:38:04.582Z"
   },
   {
    "duration": 148,
    "start_time": "2023-06-16T14:38:04.753Z"
   },
   {
    "duration": 688,
    "start_time": "2023-06-16T14:38:04.903Z"
   },
   {
    "duration": 120,
    "start_time": "2023-06-16T14:38:05.593Z"
   },
   {
    "duration": 42,
    "start_time": "2023-06-16T14:38:05.714Z"
   },
   {
    "duration": 16,
    "start_time": "2023-06-16T14:38:05.757Z"
   },
   {
    "duration": 475,
    "start_time": "2023-06-16T14:38:05.774Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-16T14:38:17.937Z"
   },
   {
    "duration": 2,
    "start_time": "2023-06-16T14:38:23.407Z"
   },
   {
    "duration": 311,
    "start_time": "2023-06-16T14:38:32.035Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-16T14:38:39.888Z"
   },
   {
    "duration": 436,
    "start_time": "2023-06-16T14:38:49.800Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T14:38:55.259Z"
   },
   {
    "duration": 289,
    "start_time": "2023-06-16T14:38:55.443Z"
   },
   {
    "duration": 2078,
    "start_time": "2023-06-16T14:39:01.537Z"
   },
   {
    "duration": 1957,
    "start_time": "2023-06-16T14:39:03.618Z"
   },
   {
    "duration": 41,
    "start_time": "2023-06-16T14:39:05.577Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-16T14:39:05.620Z"
   },
   {
    "duration": 56,
    "start_time": "2023-06-16T14:39:05.625Z"
   },
   {
    "duration": 29,
    "start_time": "2023-06-16T14:39:05.683Z"
   },
   {
    "duration": 2,
    "start_time": "2023-06-16T14:39:05.713Z"
   },
   {
    "duration": 58,
    "start_time": "2023-06-16T14:39:05.717Z"
   },
   {
    "duration": 22,
    "start_time": "2023-06-16T14:39:05.776Z"
   },
   {
    "duration": 50,
    "start_time": "2023-06-16T14:39:05.799Z"
   },
   {
    "duration": 40,
    "start_time": "2023-06-16T14:39:05.851Z"
   },
   {
    "duration": 26,
    "start_time": "2023-06-16T14:39:05.893Z"
   },
   {
    "duration": 43,
    "start_time": "2023-06-16T14:39:05.921Z"
   },
   {
    "duration": 359,
    "start_time": "2023-06-16T14:39:05.966Z"
   },
   {
    "duration": 157,
    "start_time": "2023-06-16T14:39:06.327Z"
   },
   {
    "duration": 221,
    "start_time": "2023-06-16T14:39:06.485Z"
   },
   {
    "duration": 16,
    "start_time": "2023-06-16T14:39:06.709Z"
   },
   {
    "duration": 481,
    "start_time": "2023-06-16T14:39:06.728Z"
   },
   {
    "duration": 199,
    "start_time": "2023-06-16T14:39:07.210Z"
   },
   {
    "duration": 182,
    "start_time": "2023-06-16T14:39:07.411Z"
   },
   {
    "duration": 680,
    "start_time": "2023-06-16T14:39:07.595Z"
   },
   {
    "duration": 109,
    "start_time": "2023-06-16T14:39:08.277Z"
   },
   {
    "duration": 140,
    "start_time": "2023-06-16T14:39:08.387Z"
   },
   {
    "duration": 57,
    "start_time": "2023-06-16T14:39:08.529Z"
   },
   {
    "duration": 50,
    "start_time": "2023-06-16T14:39:08.588Z"
   },
   {
    "duration": 488,
    "start_time": "2023-06-16T14:39:08.640Z"
   },
   {
    "duration": 2,
    "start_time": "2023-06-16T14:39:24.190Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-16T14:39:26.633Z"
   },
   {
    "duration": 19,
    "start_time": "2023-06-16T14:39:28.036Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-16T14:39:28.337Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-16T14:39:28.641Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T14:39:29.494Z"
   },
   {
    "duration": 494,
    "start_time": "2023-06-16T14:39:29.933Z"
   },
   {
    "duration": 1998,
    "start_time": "2023-06-16T14:39:39.214Z"
   },
   {
    "duration": 1817,
    "start_time": "2023-06-16T14:39:41.213Z"
   },
   {
    "duration": 39,
    "start_time": "2023-06-16T14:39:43.031Z"
   },
   {
    "duration": 114,
    "start_time": "2023-06-16T14:39:43.072Z"
   },
   {
    "duration": 22,
    "start_time": "2023-06-16T14:39:43.187Z"
   },
   {
    "duration": 24,
    "start_time": "2023-06-16T14:39:43.211Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-16T14:39:43.237Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-16T14:39:43.253Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-16T14:39:43.263Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-16T14:39:43.283Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-16T14:39:43.292Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-16T14:39:43.303Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-16T14:39:43.313Z"
   },
   {
    "duration": 366,
    "start_time": "2023-06-16T14:39:43.323Z"
   },
   {
    "duration": 155,
    "start_time": "2023-06-16T14:39:43.690Z"
   },
   {
    "duration": 182,
    "start_time": "2023-06-16T14:39:43.847Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-16T14:39:44.031Z"
   },
   {
    "duration": 451,
    "start_time": "2023-06-16T14:39:44.039Z"
   },
   {
    "duration": 183,
    "start_time": "2023-06-16T14:39:44.492Z"
   },
   {
    "duration": 176,
    "start_time": "2023-06-16T14:39:44.677Z"
   },
   {
    "duration": 816,
    "start_time": "2023-06-16T14:39:44.854Z"
   },
   {
    "duration": 132,
    "start_time": "2023-06-16T14:39:45.672Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-16T14:39:45.806Z"
   },
   {
    "duration": 58,
    "start_time": "2023-06-16T14:39:45.811Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-16T14:39:45.871Z"
   },
   {
    "duration": 452,
    "start_time": "2023-06-16T14:39:45.882Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-16T14:42:08.411Z"
   },
   {
    "duration": 188,
    "start_time": "2023-06-16T14:42:09.096Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-16T14:43:06.130Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-16T14:43:06.597Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-16T14:43:19.656Z"
   },
   {
    "duration": 539,
    "start_time": "2023-06-16T14:43:20.299Z"
   },
   {
    "duration": 2250,
    "start_time": "2023-06-16T14:43:26.189Z"
   },
   {
    "duration": 2001,
    "start_time": "2023-06-16T14:43:28.441Z"
   },
   {
    "duration": 45,
    "start_time": "2023-06-16T14:43:30.446Z"
   },
   {
    "duration": 490,
    "start_time": "2023-06-16T14:43:30.492Z"
   },
   {
    "duration": 322,
    "start_time": "2023-06-16T14:43:30.985Z"
   },
   {
    "duration": 84,
    "start_time": "2023-06-16T14:43:31.308Z"
   },
   {
    "duration": 52,
    "start_time": "2023-06-16T14:43:31.394Z"
   },
   {
    "duration": 298,
    "start_time": "2023-06-16T14:43:31.448Z"
   },
   {
    "duration": 236,
    "start_time": "2023-06-16T14:43:31.748Z"
   },
   {
    "duration": 398,
    "start_time": "2023-06-16T14:43:31.985Z"
   },
   {
    "duration": 74,
    "start_time": "2023-06-16T14:43:32.384Z"
   },
   {
    "duration": 39,
    "start_time": "2023-06-16T14:43:32.460Z"
   },
   {
    "duration": 34,
    "start_time": "2023-06-16T14:43:32.501Z"
   },
   {
    "duration": 400,
    "start_time": "2023-06-16T14:43:32.549Z"
   },
   {
    "duration": 153,
    "start_time": "2023-06-16T14:43:32.951Z"
   },
   {
    "duration": 207,
    "start_time": "2023-06-16T14:43:33.106Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-16T14:43:33.314Z"
   },
   {
    "duration": 485,
    "start_time": "2023-06-16T14:43:33.329Z"
   },
   {
    "duration": 188,
    "start_time": "2023-06-16T14:43:33.815Z"
   },
   {
    "duration": 166,
    "start_time": "2023-06-16T14:43:34.005Z"
   },
   {
    "duration": 659,
    "start_time": "2023-06-16T14:43:34.173Z"
   },
   {
    "duration": 121,
    "start_time": "2023-06-16T14:43:34.834Z"
   },
   {
    "duration": 2,
    "start_time": "2023-06-16T14:43:34.957Z"
   },
   {
    "duration": 24,
    "start_time": "2023-06-16T14:43:34.961Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T14:43:34.987Z"
   },
   {
    "duration": 665,
    "start_time": "2023-06-16T14:43:34.993Z"
   },
   {
    "duration": 1834,
    "start_time": "2023-06-16T14:43:54.308Z"
   },
   {
    "duration": 3247,
    "start_time": "2023-06-16T14:44:05.991Z"
   },
   {
    "duration": 40,
    "start_time": "2023-06-16T14:45:11.117Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-16T14:45:22.793Z"
   },
   {
    "duration": 2211,
    "start_time": "2023-06-16T14:45:56.947Z"
   },
   {
    "duration": 1922,
    "start_time": "2023-06-16T14:45:59.160Z"
   },
   {
    "duration": 37,
    "start_time": "2023-06-16T14:46:01.083Z"
   },
   {
    "duration": 15,
    "start_time": "2023-06-16T14:46:01.130Z"
   },
   {
    "duration": 45,
    "start_time": "2023-06-16T14:46:01.149Z"
   },
   {
    "duration": 70,
    "start_time": "2023-06-16T14:46:01.196Z"
   },
   {
    "duration": 24,
    "start_time": "2023-06-16T14:46:01.268Z"
   },
   {
    "duration": 105,
    "start_time": "2023-06-16T14:46:01.293Z"
   },
   {
    "duration": 96,
    "start_time": "2023-06-16T14:46:01.400Z"
   },
   {
    "duration": 185,
    "start_time": "2023-06-16T14:46:01.498Z"
   },
   {
    "duration": 72,
    "start_time": "2023-06-16T14:46:01.684Z"
   },
   {
    "duration": 48,
    "start_time": "2023-06-16T14:46:01.758Z"
   },
   {
    "duration": 69,
    "start_time": "2023-06-16T14:46:01.807Z"
   },
   {
    "duration": 470,
    "start_time": "2023-06-16T14:46:01.879Z"
   },
   {
    "duration": 179,
    "start_time": "2023-06-16T14:46:02.358Z"
   },
   {
    "duration": 180,
    "start_time": "2023-06-16T14:46:02.539Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-16T14:46:02.720Z"
   },
   {
    "duration": 474,
    "start_time": "2023-06-16T14:46:02.728Z"
   },
   {
    "duration": 178,
    "start_time": "2023-06-16T14:46:03.204Z"
   },
   {
    "duration": 164,
    "start_time": "2023-06-16T14:46:03.384Z"
   },
   {
    "duration": 619,
    "start_time": "2023-06-16T14:46:03.550Z"
   },
   {
    "duration": 108,
    "start_time": "2023-06-16T14:46:04.171Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-16T14:46:04.280Z"
   },
   {
    "duration": 20,
    "start_time": "2023-06-16T14:46:04.292Z"
   },
   {
    "duration": 720,
    "start_time": "2023-06-16T14:46:04.313Z"
   },
   {
    "duration": 24,
    "start_time": "2023-06-16T14:46:57.847Z"
   },
   {
    "duration": 2,
    "start_time": "2023-06-16T14:46:58.509Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T14:46:59.700Z"
   },
   {
    "duration": 689,
    "start_time": "2023-06-16T14:46:59.941Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-16T14:47:07.750Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-16T14:47:10.293Z"
   },
   {
    "duration": 187,
    "start_time": "2023-06-16T14:47:35.898Z"
   },
   {
    "duration": 19,
    "start_time": "2023-06-16T14:47:57.773Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-16T14:47:59.991Z"
   },
   {
    "duration": 919,
    "start_time": "2023-06-16T14:48:00.334Z"
   },
   {
    "duration": 31,
    "start_time": "2023-06-16T14:49:07.238Z"
   },
   {
    "duration": 28,
    "start_time": "2023-06-16T14:50:09.040Z"
   },
   {
    "duration": 42,
    "start_time": "2023-06-16T14:50:20.013Z"
   },
   {
    "duration": 24,
    "start_time": "2023-06-16T14:50:29.938Z"
   },
   {
    "duration": 22,
    "start_time": "2023-06-16T14:50:42.109Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-16T14:50:42.971Z"
   },
   {
    "duration": 864,
    "start_time": "2023-06-16T14:50:43.166Z"
   },
   {
    "duration": 22,
    "start_time": "2023-06-16T14:50:57.703Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-16T14:50:58.441Z"
   },
   {
    "duration": 581,
    "start_time": "2023-06-16T14:50:58.644Z"
   },
   {
    "duration": 3198,
    "start_time": "2023-06-16T14:51:46.551Z"
   },
   {
    "duration": 6079,
    "start_time": "2023-06-16T14:51:54.259Z"
   },
   {
    "duration": 19,
    "start_time": "2023-06-16T14:52:12.844Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-16T14:52:17.798Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-16T14:52:45.392Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T14:52:49.182Z"
   },
   {
    "duration": 1012,
    "start_time": "2023-06-16T14:52:55.735Z"
   },
   {
    "duration": 2318,
    "start_time": "2023-06-16T14:53:08.236Z"
   },
   {
    "duration": 1865,
    "start_time": "2023-06-16T14:53:10.558Z"
   },
   {
    "duration": 45,
    "start_time": "2023-06-16T14:53:12.425Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-16T14:53:12.472Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-16T14:53:12.477Z"
   },
   {
    "duration": 49,
    "start_time": "2023-06-16T14:53:12.487Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T14:53:12.541Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-16T14:53:12.548Z"
   },
   {
    "duration": 19,
    "start_time": "2023-06-16T14:53:12.560Z"
   },
   {
    "duration": 15,
    "start_time": "2023-06-16T14:53:12.581Z"
   },
   {
    "duration": 21,
    "start_time": "2023-06-16T14:53:12.597Z"
   },
   {
    "duration": 40,
    "start_time": "2023-06-16T14:53:12.620Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-16T14:53:12.663Z"
   },
   {
    "duration": 371,
    "start_time": "2023-06-16T14:53:12.669Z"
   },
   {
    "duration": 165,
    "start_time": "2023-06-16T14:53:13.042Z"
   },
   {
    "duration": 196,
    "start_time": "2023-06-16T14:53:13.209Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-16T14:53:13.406Z"
   },
   {
    "duration": 484,
    "start_time": "2023-06-16T14:53:13.414Z"
   },
   {
    "duration": 192,
    "start_time": "2023-06-16T14:53:13.900Z"
   },
   {
    "duration": 173,
    "start_time": "2023-06-16T14:53:14.093Z"
   },
   {
    "duration": 628,
    "start_time": "2023-06-16T14:53:14.268Z"
   },
   {
    "duration": 122,
    "start_time": "2023-06-16T14:53:14.898Z"
   },
   {
    "duration": 60,
    "start_time": "2023-06-16T14:53:15.023Z"
   },
   {
    "duration": 15,
    "start_time": "2023-06-16T14:53:15.085Z"
   },
   {
    "duration": 830,
    "start_time": "2023-06-16T14:53:15.101Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-16T14:53:23.365Z"
   },
   {
    "duration": 18,
    "start_time": "2023-06-16T14:53:29.592Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-16T14:53:30.663Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-16T14:53:40.061Z"
   },
   {
    "duration": 15,
    "start_time": "2023-06-16T14:53:40.743Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-16T14:53:42.297Z"
   },
   {
    "duration": 16,
    "start_time": "2023-06-16T14:53:42.739Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-16T14:53:45.503Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-16T14:53:46.075Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-16T14:53:56.365Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-16T14:53:56.589Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-16T14:54:00.031Z"
   },
   {
    "duration": 902,
    "start_time": "2023-06-16T14:54:00.319Z"
   },
   {
    "duration": 2139,
    "start_time": "2023-06-16T14:54:04.993Z"
   },
   {
    "duration": 2055,
    "start_time": "2023-06-16T14:54:07.134Z"
   },
   {
    "duration": 49,
    "start_time": "2023-06-16T14:54:09.191Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T14:54:09.242Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-16T14:54:09.249Z"
   },
   {
    "duration": 25,
    "start_time": "2023-06-16T14:54:09.265Z"
   },
   {
    "duration": 2,
    "start_time": "2023-06-16T14:54:09.292Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-16T14:54:09.296Z"
   },
   {
    "duration": 20,
    "start_time": "2023-06-16T14:54:09.305Z"
   },
   {
    "duration": 39,
    "start_time": "2023-06-16T14:54:09.326Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-16T14:54:09.366Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-16T14:54:09.378Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-16T14:54:09.389Z"
   },
   {
    "duration": 382,
    "start_time": "2023-06-16T14:54:09.401Z"
   },
   {
    "duration": 165,
    "start_time": "2023-06-16T14:54:09.785Z"
   },
   {
    "duration": 195,
    "start_time": "2023-06-16T14:54:09.952Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-16T14:54:10.149Z"
   },
   {
    "duration": 433,
    "start_time": "2023-06-16T14:54:10.158Z"
   },
   {
    "duration": 173,
    "start_time": "2023-06-16T14:54:10.593Z"
   },
   {
    "duration": 168,
    "start_time": "2023-06-16T14:54:10.768Z"
   },
   {
    "duration": 601,
    "start_time": "2023-06-16T14:54:10.937Z"
   },
   {
    "duration": 99,
    "start_time": "2023-06-16T14:54:11.539Z"
   },
   {
    "duration": 21,
    "start_time": "2023-06-16T14:54:11.640Z"
   },
   {
    "duration": 25,
    "start_time": "2023-06-16T14:54:11.662Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-16T14:54:11.688Z"
   },
   {
    "duration": 641,
    "start_time": "2023-06-16T14:54:11.701Z"
   },
   {
    "duration": 192,
    "start_time": "2023-06-16T14:54:39.853Z"
   },
   {
    "duration": 259,
    "start_time": "2023-06-16T14:56:15.661Z"
   },
   {
    "duration": 145,
    "start_time": "2023-06-16T14:56:23.972Z"
   },
   {
    "duration": 300,
    "start_time": "2023-06-16T14:56:28.225Z"
   },
   {
    "duration": 2006,
    "start_time": "2023-06-16T14:56:32.820Z"
   },
   {
    "duration": 1776,
    "start_time": "2023-06-16T14:56:34.828Z"
   },
   {
    "duration": 41,
    "start_time": "2023-06-16T14:56:36.606Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-16T14:56:36.649Z"
   },
   {
    "duration": 26,
    "start_time": "2023-06-16T14:56:36.654Z"
   },
   {
    "duration": 35,
    "start_time": "2023-06-16T14:56:36.682Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-16T14:56:36.718Z"
   },
   {
    "duration": 30,
    "start_time": "2023-06-16T14:56:36.729Z"
   },
   {
    "duration": 20,
    "start_time": "2023-06-16T14:56:36.761Z"
   },
   {
    "duration": 22,
    "start_time": "2023-06-16T14:56:36.784Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-16T14:56:36.808Z"
   },
   {
    "duration": 22,
    "start_time": "2023-06-16T14:56:36.822Z"
   },
   {
    "duration": 28,
    "start_time": "2023-06-16T14:56:36.845Z"
   },
   {
    "duration": 394,
    "start_time": "2023-06-16T14:56:36.875Z"
   },
   {
    "duration": 158,
    "start_time": "2023-06-16T14:56:37.271Z"
   },
   {
    "duration": 189,
    "start_time": "2023-06-16T14:56:37.431Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T14:56:37.622Z"
   },
   {
    "duration": 442,
    "start_time": "2023-06-16T14:56:37.629Z"
   },
   {
    "duration": 189,
    "start_time": "2023-06-16T14:56:38.073Z"
   },
   {
    "duration": 146,
    "start_time": "2023-06-16T14:56:38.263Z"
   },
   {
    "duration": 630,
    "start_time": "2023-06-16T14:56:38.420Z"
   },
   {
    "duration": 102,
    "start_time": "2023-06-16T14:56:39.052Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-16T14:56:39.156Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-16T14:56:39.161Z"
   },
   {
    "duration": 352,
    "start_time": "2023-06-16T14:56:39.175Z"
   },
   {
    "duration": 54,
    "start_time": "2023-06-16T14:56:51.026Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-16T14:56:52.932Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-16T14:57:28.536Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-16T14:57:28.956Z"
   },
   {
    "duration": 179,
    "start_time": "2023-06-16T14:57:29.170Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-16T14:57:38.889Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-16T14:57:39.503Z"
   },
   {
    "duration": 28,
    "start_time": "2023-06-16T14:57:39.766Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-16T14:57:47.352Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-16T14:57:47.927Z"
   },
   {
    "duration": 44,
    "start_time": "2023-06-16T14:57:48.161Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-16T14:57:54.771Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T14:57:55.311Z"
   },
   {
    "duration": 33,
    "start_time": "2023-06-16T14:57:55.500Z"
   },
   {
    "duration": 23,
    "start_time": "2023-06-16T14:58:00.770Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-16T14:58:00.952Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T14:58:01.656Z"
   },
   {
    "duration": 268,
    "start_time": "2023-06-16T14:58:01.868Z"
   },
   {
    "duration": 26,
    "start_time": "2023-06-16T14:58:13.350Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-16T14:58:13.653Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-16T14:58:14.309Z"
   },
   {
    "duration": 356,
    "start_time": "2023-06-16T14:58:14.476Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T14:58:27.459Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-16T14:58:27.912Z"
   },
   {
    "duration": 34,
    "start_time": "2023-06-16T14:58:28.099Z"
   },
   {
    "duration": 2296,
    "start_time": "2023-06-16T15:45:47.193Z"
   },
   {
    "duration": 1952,
    "start_time": "2023-06-16T15:45:49.492Z"
   },
   {
    "duration": 38,
    "start_time": "2023-06-16T15:45:51.446Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-16T15:45:51.486Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-16T15:45:51.493Z"
   },
   {
    "duration": 22,
    "start_time": "2023-06-16T15:45:51.504Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-16T15:45:51.528Z"
   },
   {
    "duration": 27,
    "start_time": "2023-06-16T15:45:51.535Z"
   },
   {
    "duration": 23,
    "start_time": "2023-06-16T15:45:51.564Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-16T15:45:51.588Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-16T15:45:51.603Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-16T15:45:51.614Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-16T15:45:51.626Z"
   },
   {
    "duration": 409,
    "start_time": "2023-06-16T15:45:51.637Z"
   },
   {
    "duration": 172,
    "start_time": "2023-06-16T15:45:52.048Z"
   },
   {
    "duration": 181,
    "start_time": "2023-06-16T15:45:52.222Z"
   },
   {
    "duration": 16,
    "start_time": "2023-06-16T15:45:52.406Z"
   },
   {
    "duration": 475,
    "start_time": "2023-06-16T15:45:52.424Z"
   },
   {
    "duration": 206,
    "start_time": "2023-06-16T15:45:52.900Z"
   },
   {
    "duration": 179,
    "start_time": "2023-06-16T15:45:53.108Z"
   },
   {
    "duration": 677,
    "start_time": "2023-06-16T15:45:53.289Z"
   },
   {
    "duration": 118,
    "start_time": "2023-06-16T15:45:53.967Z"
   },
   {
    "duration": 24,
    "start_time": "2023-06-16T15:45:54.088Z"
   },
   {
    "duration": 32,
    "start_time": "2023-06-16T15:45:54.113Z"
   },
   {
    "duration": 380,
    "start_time": "2023-06-16T15:45:54.147Z"
   },
   {
    "duration": 182,
    "start_time": "2023-06-16T15:46:31.156Z"
   },
   {
    "duration": 276,
    "start_time": "2023-06-16T15:47:10.663Z"
   },
   {
    "duration": 303,
    "start_time": "2023-06-16T15:47:17.624Z"
   },
   {
    "duration": 341,
    "start_time": "2023-06-16T15:47:26.293Z"
   },
   {
    "duration": 209,
    "start_time": "2023-06-16T15:47:32.411Z"
   },
   {
    "duration": 21,
    "start_time": "2023-06-16T15:47:36.506Z"
   },
   {
    "duration": 24,
    "start_time": "2023-06-16T15:47:43.735Z"
   },
   {
    "duration": 34,
    "start_time": "2023-06-16T15:47:49.777Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-16T15:47:51.791Z"
   },
   {
    "duration": 25,
    "start_time": "2023-06-16T15:47:51.972Z"
   },
   {
    "duration": 176,
    "start_time": "2023-06-16T15:47:58.846Z"
   },
   {
    "duration": 123,
    "start_time": "2023-06-16T15:48:02.003Z"
   },
   {
    "duration": 273,
    "start_time": "2023-06-16T15:48:04.056Z"
   },
   {
    "duration": 388,
    "start_time": "2023-06-16T15:48:09.632Z"
   },
   {
    "duration": 364,
    "start_time": "2023-06-16T15:48:23.566Z"
   },
   {
    "duration": 162,
    "start_time": "2023-06-16T15:48:44.364Z"
   },
   {
    "duration": 184,
    "start_time": "2023-06-16T15:49:03.855Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-16T15:49:12.125Z"
   },
   {
    "duration": 220,
    "start_time": "2023-06-16T15:49:12.302Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-16T15:49:27.119Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-16T15:49:53.035Z"
   },
   {
    "duration": 433,
    "start_time": "2023-06-16T15:49:57.393Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-16T15:50:15.044Z"
   },
   {
    "duration": 566,
    "start_time": "2023-06-16T15:50:15.360Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T15:50:32.171Z"
   },
   {
    "duration": 1236,
    "start_time": "2023-06-16T15:50:32.890Z"
   },
   {
    "duration": 26,
    "start_time": "2023-06-16T15:50:38.894Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-16T15:50:39.289Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T15:50:39.875Z"
   },
   {
    "duration": 1122,
    "start_time": "2023-06-16T15:50:40.031Z"
   },
   {
    "duration": 303,
    "start_time": "2023-06-16T15:51:06.121Z"
   },
   {
    "duration": 372,
    "start_time": "2023-06-16T15:51:15.652Z"
   },
   {
    "duration": 329,
    "start_time": "2023-06-16T15:51:38.400Z"
   },
   {
    "duration": 479,
    "start_time": "2023-06-16T15:51:48.552Z"
   },
   {
    "duration": 537,
    "start_time": "2023-06-16T15:51:56.689Z"
   },
   {
    "duration": 914,
    "start_time": "2023-06-16T15:52:08.420Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-16T15:52:27.118Z"
   },
   {
    "duration": 23,
    "start_time": "2023-06-16T15:52:31.934Z"
   },
   {
    "duration": 1153,
    "start_time": "2023-06-16T15:52:32.099Z"
   },
   {
    "duration": 26,
    "start_time": "2023-06-16T15:52:33.253Z"
   },
   {
    "duration": 1443,
    "start_time": "2023-06-16T15:52:33.281Z"
   },
   {
    "duration": 165,
    "start_time": "2023-06-16T15:53:04.576Z"
   },
   {
    "duration": 46,
    "start_time": "2023-06-16T18:09:36.140Z"
   },
   {
    "duration": 2986,
    "start_time": "2023-06-16T18:09:51.392Z"
   },
   {
    "duration": 1885,
    "start_time": "2023-06-16T18:09:54.381Z"
   },
   {
    "duration": 68,
    "start_time": "2023-06-16T18:09:56.268Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-16T18:09:56.337Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-16T18:09:56.342Z"
   },
   {
    "duration": 23,
    "start_time": "2023-06-16T18:09:56.350Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-16T18:09:56.374Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-16T18:09:56.378Z"
   },
   {
    "duration": 22,
    "start_time": "2023-06-16T18:09:56.397Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-16T18:09:56.422Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-16T18:09:56.436Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-16T18:09:56.444Z"
   },
   {
    "duration": 27,
    "start_time": "2023-06-16T18:09:56.458Z"
   },
   {
    "duration": 333,
    "start_time": "2023-06-16T18:09:56.487Z"
   },
   {
    "duration": 149,
    "start_time": "2023-06-16T18:09:56.821Z"
   },
   {
    "duration": 165,
    "start_time": "2023-06-16T18:09:56.972Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-16T18:09:57.139Z"
   },
   {
    "duration": 487,
    "start_time": "2023-06-16T18:09:57.146Z"
   },
   {
    "duration": 174,
    "start_time": "2023-06-16T18:09:57.634Z"
   },
   {
    "duration": 146,
    "start_time": "2023-06-16T18:09:57.810Z"
   },
   {
    "duration": 661,
    "start_time": "2023-06-16T18:09:57.957Z"
   },
   {
    "duration": 110,
    "start_time": "2023-06-16T18:09:58.620Z"
   },
   {
    "duration": 23,
    "start_time": "2023-06-16T18:09:58.732Z"
   },
   {
    "duration": 30,
    "start_time": "2023-06-16T18:09:58.756Z"
   },
   {
    "duration": 2975,
    "start_time": "2023-06-16T18:09:58.787Z"
   },
   {
    "duration": 3351,
    "start_time": "2023-06-16T18:10:13.605Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T18:10:32.687Z"
   },
   {
    "duration": 154,
    "start_time": "2023-06-16T18:10:33.218Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T18:10:37.858Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-16T18:10:38.726Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-16T18:10:53.640Z"
   },
   {
    "duration": 3607,
    "start_time": "2023-06-16T18:10:54.167Z"
   },
   {
    "duration": 3871,
    "start_time": "2023-06-16T18:11:13.596Z"
   },
   {
    "duration": 3600,
    "start_time": "2023-06-16T18:11:39.362Z"
   },
   {
    "duration": 4093,
    "start_time": "2023-06-16T18:11:55.889Z"
   },
   {
    "duration": 3947,
    "start_time": "2023-06-16T18:12:17.722Z"
   },
   {
    "duration": 4131,
    "start_time": "2023-06-16T18:12:27.823Z"
   },
   {
    "duration": 6726,
    "start_time": "2023-06-16T18:12:51.732Z"
   },
   {
    "duration": 1995,
    "start_time": "2023-06-16T18:13:08.691Z"
   },
   {
    "duration": 1677,
    "start_time": "2023-06-16T18:13:10.688Z"
   },
   {
    "duration": 35,
    "start_time": "2023-06-16T18:13:12.367Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-16T18:13:12.405Z"
   },
   {
    "duration": 15,
    "start_time": "2023-06-16T18:13:12.410Z"
   },
   {
    "duration": 23,
    "start_time": "2023-06-16T18:13:12.426Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-16T18:13:12.451Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-16T18:13:12.455Z"
   },
   {
    "duration": 16,
    "start_time": "2023-06-16T18:13:12.468Z"
   },
   {
    "duration": 22,
    "start_time": "2023-06-16T18:13:12.486Z"
   },
   {
    "duration": 18,
    "start_time": "2023-06-16T18:13:12.510Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-16T18:13:12.530Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-16T18:13:12.542Z"
   },
   {
    "duration": 307,
    "start_time": "2023-06-16T18:13:12.547Z"
   },
   {
    "duration": 144,
    "start_time": "2023-06-16T18:13:12.855Z"
   },
   {
    "duration": 168,
    "start_time": "2023-06-16T18:13:13.000Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T18:13:13.169Z"
   },
   {
    "duration": 430,
    "start_time": "2023-06-16T18:13:13.176Z"
   },
   {
    "duration": 175,
    "start_time": "2023-06-16T18:13:13.607Z"
   },
   {
    "duration": 144,
    "start_time": "2023-06-16T18:13:13.784Z"
   },
   {
    "duration": 621,
    "start_time": "2023-06-16T18:13:13.929Z"
   },
   {
    "duration": 116,
    "start_time": "2023-06-16T18:13:14.552Z"
   },
   {
    "duration": 2,
    "start_time": "2023-06-16T18:13:14.670Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-16T18:13:14.673Z"
   },
   {
    "duration": 7084,
    "start_time": "2023-06-16T18:13:14.680Z"
   },
   {
    "duration": 131,
    "start_time": "2023-06-16T18:16:45.875Z"
   },
   {
    "duration": 6683,
    "start_time": "2023-06-16T18:16:46.394Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-16T18:17:03.225Z"
   },
   {
    "duration": 10523,
    "start_time": "2023-06-16T18:17:03.755Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-16T18:22:08.975Z"
   },
   {
    "duration": 9810,
    "start_time": "2023-06-16T18:22:11.750Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-16T18:22:59.734Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-16T18:22:59.893Z"
   },
   {
    "duration": 9233,
    "start_time": "2023-06-16T18:23:00.935Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-16T18:23:12.331Z"
   },
   {
    "duration": 9803,
    "start_time": "2023-06-16T18:23:12.671Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-16T18:29:33.434Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-16T18:29:34.840Z"
   },
   {
    "duration": 13213,
    "start_time": "2023-06-16T18:29:35.068Z"
   },
   {
    "duration": 11972,
    "start_time": "2023-06-16T18:30:11.393Z"
   },
   {
    "duration": 12808,
    "start_time": "2023-06-16T18:30:26.968Z"
   },
   {
    "duration": 12763,
    "start_time": "2023-06-16T18:30:44.298Z"
   },
   {
    "duration": 13131,
    "start_time": "2023-06-16T18:30:59.256Z"
   },
   {
    "duration": 106,
    "start_time": "2023-06-16T18:34:38.018Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-16T18:34:43.318Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-16T18:34:53.973Z"
   },
   {
    "duration": 458,
    "start_time": "2023-06-16T18:35:10.422Z"
   },
   {
    "duration": 2094,
    "start_time": "2023-06-16T18:35:18.814Z"
   },
   {
    "duration": 1770,
    "start_time": "2023-06-16T18:35:20.910Z"
   },
   {
    "duration": 38,
    "start_time": "2023-06-16T18:35:22.682Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-16T18:35:22.722Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-16T18:35:22.727Z"
   },
   {
    "duration": 45,
    "start_time": "2023-06-16T18:35:22.746Z"
   },
   {
    "duration": 24,
    "start_time": "2023-06-16T18:35:22.793Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-16T18:35:22.818Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-16T18:35:22.827Z"
   },
   {
    "duration": 27,
    "start_time": "2023-06-16T18:35:22.838Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-16T18:35:22.866Z"
   },
   {
    "duration": 37,
    "start_time": "2023-06-16T18:35:22.878Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-16T18:35:22.916Z"
   },
   {
    "duration": 330,
    "start_time": "2023-06-16T18:35:22.931Z"
   },
   {
    "duration": 162,
    "start_time": "2023-06-16T18:35:23.262Z"
   },
   {
    "duration": 196,
    "start_time": "2023-06-16T18:35:23.427Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-16T18:35:23.625Z"
   },
   {
    "duration": 496,
    "start_time": "2023-06-16T18:35:23.633Z"
   },
   {
    "duration": 199,
    "start_time": "2023-06-16T18:35:24.131Z"
   },
   {
    "duration": 168,
    "start_time": "2023-06-16T18:35:24.332Z"
   },
   {
    "duration": 705,
    "start_time": "2023-06-16T18:35:24.501Z"
   },
   {
    "duration": 123,
    "start_time": "2023-06-16T18:35:25.207Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-16T18:35:25.331Z"
   },
   {
    "duration": 26,
    "start_time": "2023-06-16T18:35:25.335Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-16T18:35:25.362Z"
   },
   {
    "duration": 11197,
    "start_time": "2023-06-16T18:35:25.374Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-16T18:35:36.572Z"
   },
   {
    "duration": 209,
    "start_time": "2023-06-16T18:35:36.580Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-16T18:36:25.111Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-16T18:36:25.665Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T18:36:25.939Z"
   },
   {
    "duration": 8613,
    "start_time": "2023-06-16T18:36:26.754Z"
   },
   {
    "duration": 514,
    "start_time": "2023-06-16T18:36:39.042Z"
   },
   {
    "duration": 10712,
    "start_time": "2023-06-16T18:36:48.451Z"
   },
   {
    "duration": 9840,
    "start_time": "2023-06-16T18:37:00.923Z"
   },
   {
    "duration": 2188,
    "start_time": "2023-06-16T18:37:41.412Z"
   },
   {
    "duration": 1815,
    "start_time": "2023-06-16T18:37:43.602Z"
   },
   {
    "duration": 39,
    "start_time": "2023-06-16T18:37:45.418Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-16T18:37:45.459Z"
   },
   {
    "duration": 26,
    "start_time": "2023-06-16T18:37:45.467Z"
   },
   {
    "duration": 35,
    "start_time": "2023-06-16T18:37:45.495Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-16T18:37:45.531Z"
   },
   {
    "duration": 26,
    "start_time": "2023-06-16T18:37:45.535Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-16T18:37:45.565Z"
   },
   {
    "duration": 18,
    "start_time": "2023-06-16T18:37:45.579Z"
   },
   {
    "duration": 16,
    "start_time": "2023-06-16T18:37:45.598Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-16T18:37:45.615Z"
   },
   {
    "duration": 22,
    "start_time": "2023-06-16T18:37:45.630Z"
   },
   {
    "duration": 345,
    "start_time": "2023-06-16T18:37:45.654Z"
   },
   {
    "duration": 169,
    "start_time": "2023-06-16T18:37:46.001Z"
   },
   {
    "duration": 161,
    "start_time": "2023-06-16T18:37:46.172Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-16T18:37:46.334Z"
   },
   {
    "duration": 490,
    "start_time": "2023-06-16T18:37:46.341Z"
   },
   {
    "duration": 183,
    "start_time": "2023-06-16T18:37:46.832Z"
   },
   {
    "duration": 163,
    "start_time": "2023-06-16T18:37:47.017Z"
   },
   {
    "duration": 807,
    "start_time": "2023-06-16T18:37:47.182Z"
   },
   {
    "duration": 19,
    "start_time": "2023-06-16T18:37:47.991Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T18:37:48.012Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-16T18:37:48.018Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-16T18:37:48.036Z"
   },
   {
    "duration": 13332,
    "start_time": "2023-06-16T18:37:48.048Z"
   },
   {
    "duration": 79,
    "start_time": "2023-06-16T18:38:01.381Z"
   },
   {
    "duration": 155,
    "start_time": "2023-06-16T18:38:01.468Z"
   },
   {
    "duration": 26,
    "start_time": "2023-06-16T18:38:46.319Z"
   },
   {
    "duration": 22,
    "start_time": "2023-06-16T18:39:15.789Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-16T18:39:23.375Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-16T18:39:23.916Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T18:39:24.395Z"
   },
   {
    "duration": 28,
    "start_time": "2023-06-16T18:39:24.962Z"
   },
   {
    "duration": 28,
    "start_time": "2023-06-16T18:39:53.547Z"
   },
   {
    "duration": 26,
    "start_time": "2023-06-16T18:39:58.768Z"
   },
   {
    "duration": 23,
    "start_time": "2023-06-16T18:40:11.152Z"
   },
   {
    "duration": 21,
    "start_time": "2023-06-16T18:40:14.685Z"
   },
   {
    "duration": 26,
    "start_time": "2023-06-16T18:40:20.390Z"
   },
   {
    "duration": 24,
    "start_time": "2023-06-16T18:40:57.510Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-16T18:41:03.567Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T18:41:03.813Z"
   },
   {
    "duration": 37,
    "start_time": "2023-06-16T18:41:04.858Z"
   },
   {
    "duration": 27,
    "start_time": "2023-06-16T18:41:11.771Z"
   },
   {
    "duration": 14608,
    "start_time": "2023-06-16T18:41:14.459Z"
   },
   {
    "duration": 19,
    "start_time": "2023-06-16T18:43:04.397Z"
   },
   {
    "duration": 22,
    "start_time": "2023-06-16T18:43:12.264Z"
   },
   {
    "duration": 27,
    "start_time": "2023-06-16T18:43:17.361Z"
   },
   {
    "duration": 18,
    "start_time": "2023-06-16T18:43:20.477Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-16T18:43:21.978Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-16T18:43:22.466Z"
   },
   {
    "duration": 10098,
    "start_time": "2023-06-16T18:43:23.273Z"
   },
   {
    "duration": 10258,
    "start_time": "2023-06-16T18:44:17.816Z"
   },
   {
    "duration": 25,
    "start_time": "2023-06-16T18:46:36.459Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-16T18:46:49.241Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-16T18:47:40.778Z"
   },
   {
    "duration": 23,
    "start_time": "2023-06-16T18:47:41.256Z"
   },
   {
    "duration": 20,
    "start_time": "2023-06-16T18:48:23.367Z"
   },
   {
    "duration": 19,
    "start_time": "2023-06-16T18:49:21.909Z"
   },
   {
    "duration": 2220,
    "start_time": "2023-06-16T18:50:50.730Z"
   },
   {
    "duration": 1817,
    "start_time": "2023-06-16T18:50:52.952Z"
   },
   {
    "duration": 37,
    "start_time": "2023-06-16T18:50:54.770Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-16T18:50:54.809Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-16T18:50:54.813Z"
   },
   {
    "duration": 24,
    "start_time": "2023-06-16T18:50:54.829Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-16T18:50:54.856Z"
   },
   {
    "duration": 15,
    "start_time": "2023-06-16T18:50:54.865Z"
   },
   {
    "duration": 16,
    "start_time": "2023-06-16T18:50:54.882Z"
   },
   {
    "duration": 22,
    "start_time": "2023-06-16T18:50:54.900Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-16T18:50:54.924Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-16T18:50:54.930Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-16T18:50:54.945Z"
   },
   {
    "duration": 348,
    "start_time": "2023-06-16T18:50:54.953Z"
   },
   {
    "duration": 164,
    "start_time": "2023-06-16T18:50:55.303Z"
   },
   {
    "duration": 177,
    "start_time": "2023-06-16T18:50:55.469Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-16T18:50:55.649Z"
   },
   {
    "duration": 440,
    "start_time": "2023-06-16T18:50:55.659Z"
   },
   {
    "duration": 180,
    "start_time": "2023-06-16T18:50:56.101Z"
   },
   {
    "duration": 159,
    "start_time": "2023-06-16T18:50:56.283Z"
   },
   {
    "duration": 664,
    "start_time": "2023-06-16T18:50:56.444Z"
   },
   {
    "duration": 119,
    "start_time": "2023-06-16T18:50:57.109Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-16T18:50:57.229Z"
   },
   {
    "duration": 24,
    "start_time": "2023-06-16T18:50:57.236Z"
   },
   {
    "duration": 13097,
    "start_time": "2023-06-16T18:50:57.263Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-16T18:51:10.363Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-16T18:51:10.370Z"
   },
   {
    "duration": 1897,
    "start_time": "2023-06-16T18:51:10.387Z"
   },
   {
    "duration": 3717,
    "start_time": "2023-06-16T18:51:34.415Z"
   },
   {
    "duration": 3111,
    "start_time": "2023-06-18T08:56:48.697Z"
   },
   {
    "duration": 1993,
    "start_time": "2023-06-18T08:56:51.810Z"
   },
   {
    "duration": 86,
    "start_time": "2023-06-18T08:56:53.804Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-18T08:56:53.892Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-18T08:56:53.899Z"
   },
   {
    "duration": 30,
    "start_time": "2023-06-18T08:56:53.908Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-18T08:56:53.939Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-18T08:56:53.944Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-18T08:56:53.977Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-18T08:56:53.996Z"
   },
   {
    "duration": 16,
    "start_time": "2023-06-18T08:56:54.009Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-18T08:56:54.027Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-18T08:56:54.035Z"
   },
   {
    "duration": 404,
    "start_time": "2023-06-18T08:56:54.044Z"
   },
   {
    "duration": 165,
    "start_time": "2023-06-18T08:56:54.449Z"
   },
   {
    "duration": 174,
    "start_time": "2023-06-18T08:56:54.616Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-18T08:56:54.792Z"
   },
   {
    "duration": 429,
    "start_time": "2023-06-18T08:56:54.799Z"
   },
   {
    "duration": 178,
    "start_time": "2023-06-18T08:56:55.229Z"
   },
   {
    "duration": 151,
    "start_time": "2023-06-18T08:56:55.409Z"
   },
   {
    "duration": 653,
    "start_time": "2023-06-18T08:56:55.562Z"
   },
   {
    "duration": 115,
    "start_time": "2023-06-18T08:56:56.216Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-18T08:56:56.332Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-18T08:56:56.340Z"
   },
   {
    "duration": 8930,
    "start_time": "2023-06-18T08:56:56.347Z"
   },
   {
    "duration": 2,
    "start_time": "2023-06-18T08:57:05.279Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-18T08:57:05.283Z"
   },
   {
    "duration": 3407,
    "start_time": "2023-06-18T08:57:05.292Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-18T08:57:58.857Z"
   },
   {
    "duration": 10695,
    "start_time": "2023-06-18T08:57:58.997Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-18T08:58:19.298Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-18T08:58:19.719Z"
   },
   {
    "duration": 17145,
    "start_time": "2023-06-18T08:58:20.434Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-18T08:58:42.990Z"
   },
   {
    "duration": 3795,
    "start_time": "2023-06-18T08:58:44.246Z"
   },
   {
    "duration": 2302,
    "start_time": "2023-06-18T08:59:23.238Z"
   },
   {
    "duration": 2051,
    "start_time": "2023-06-18T08:59:25.543Z"
   },
   {
    "duration": 42,
    "start_time": "2023-06-18T08:59:27.596Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-18T08:59:27.640Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-18T08:59:27.645Z"
   },
   {
    "duration": 56,
    "start_time": "2023-06-18T08:59:27.655Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-18T08:59:27.714Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-18T08:59:27.719Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-18T08:59:27.729Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-18T08:59:27.744Z"
   },
   {
    "duration": 16,
    "start_time": "2023-06-18T08:59:27.754Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-18T08:59:27.772Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-18T08:59:27.782Z"
   },
   {
    "duration": 396,
    "start_time": "2023-06-18T08:59:27.801Z"
   },
   {
    "duration": 172,
    "start_time": "2023-06-18T08:59:28.199Z"
   },
   {
    "duration": 185,
    "start_time": "2023-06-18T08:59:28.373Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-18T08:59:28.560Z"
   },
   {
    "duration": 503,
    "start_time": "2023-06-18T08:59:28.572Z"
   },
   {
    "duration": 212,
    "start_time": "2023-06-18T08:59:29.076Z"
   },
   {
    "duration": 194,
    "start_time": "2023-06-18T08:59:29.290Z"
   },
   {
    "duration": 824,
    "start_time": "2023-06-18T08:59:29.487Z"
   },
   {
    "duration": 15,
    "start_time": "2023-06-18T08:59:30.313Z"
   },
   {
    "duration": 58,
    "start_time": "2023-06-18T08:59:30.330Z"
   },
   {
    "duration": 34,
    "start_time": "2023-06-18T08:59:30.390Z"
   },
   {
    "duration": 15667,
    "start_time": "2023-06-18T08:59:30.426Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-18T08:59:46.095Z"
   },
   {
    "duration": 74,
    "start_time": "2023-06-18T08:59:46.100Z"
   },
   {
    "duration": 3851,
    "start_time": "2023-06-18T08:59:46.178Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-18T09:00:50.394Z"
   },
   {
    "duration": 3705,
    "start_time": "2023-06-18T09:00:50.834Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-18T09:02:50.426Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-18T09:02:50.572Z"
   },
   {
    "duration": 9065,
    "start_time": "2023-06-18T09:02:51.626Z"
   },
   {
    "duration": 2152,
    "start_time": "2023-06-18T09:03:17.905Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-18T09:03:20.059Z"
   },
   {
    "duration": 49,
    "start_time": "2023-06-18T09:03:20.065Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-18T09:03:20.115Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-18T09:03:20.122Z"
   },
   {
    "duration": 27,
    "start_time": "2023-06-18T09:03:20.134Z"
   },
   {
    "duration": 2,
    "start_time": "2023-06-18T09:03:20.163Z"
   },
   {
    "duration": 19,
    "start_time": "2023-06-18T09:03:20.167Z"
   },
   {
    "duration": 33,
    "start_time": "2023-06-18T09:03:20.187Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-18T09:03:20.221Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-18T09:03:20.236Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-18T09:03:20.242Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-18T09:03:20.251Z"
   },
   {
    "duration": 238,
    "start_time": "2023-06-18T09:03:20.262Z"
   },
   {
    "duration": 153,
    "start_time": "2023-06-18T09:03:20.502Z"
   },
   {
    "duration": 171,
    "start_time": "2023-06-18T09:03:20.656Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-18T09:03:20.829Z"
   },
   {
    "duration": 427,
    "start_time": "2023-06-18T09:03:20.835Z"
   },
   {
    "duration": 175,
    "start_time": "2023-06-18T09:03:21.267Z"
   },
   {
    "duration": 149,
    "start_time": "2023-06-18T09:03:21.444Z"
   },
   {
    "duration": 718,
    "start_time": "2023-06-18T09:03:21.595Z"
   },
   {
    "duration": 16,
    "start_time": "2023-06-18T09:03:22.315Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-18T09:03:22.332Z"
   },
   {
    "duration": 28,
    "start_time": "2023-06-18T09:03:22.341Z"
   },
   {
    "duration": 39944,
    "start_time": "2023-06-18T09:03:22.370Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-18T09:04:07.452Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-18T09:04:07.863Z"
   },
   {
    "duration": 13362,
    "start_time": "2023-06-18T09:04:08.332Z"
   },
   {
    "duration": 42185,
    "start_time": "2023-06-18T09:04:30.501Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-18T09:06:21.697Z"
   },
   {
    "duration": 5460,
    "start_time": "2023-06-18T09:07:01.901Z"
   },
   {
    "duration": 2270,
    "start_time": "2023-06-18T09:07:11.834Z"
   },
   {
    "duration": 1790,
    "start_time": "2023-06-18T09:07:14.106Z"
   },
   {
    "duration": 36,
    "start_time": "2023-06-18T09:07:15.898Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-18T09:07:15.936Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-18T09:07:15.941Z"
   },
   {
    "duration": 40,
    "start_time": "2023-06-18T09:07:15.952Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-18T09:07:15.994Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-18T09:07:15.998Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-18T09:07:16.007Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-18T09:07:16.019Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-18T09:07:16.037Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-18T09:07:16.044Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-18T09:07:16.050Z"
   },
   {
    "duration": 340,
    "start_time": "2023-06-18T09:07:16.070Z"
   },
   {
    "duration": 158,
    "start_time": "2023-06-18T09:07:16.412Z"
   },
   {
    "duration": 185,
    "start_time": "2023-06-18T09:07:16.572Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-18T09:07:16.758Z"
   },
   {
    "duration": 471,
    "start_time": "2023-06-18T09:07:16.770Z"
   },
   {
    "duration": 189,
    "start_time": "2023-06-18T09:07:17.245Z"
   },
   {
    "duration": 156,
    "start_time": "2023-06-18T09:07:17.436Z"
   },
   {
    "duration": 631,
    "start_time": "2023-06-18T09:07:17.594Z"
   },
   {
    "duration": 119,
    "start_time": "2023-06-18T09:07:18.227Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-18T09:07:18.347Z"
   },
   {
    "duration": 28,
    "start_time": "2023-06-18T09:07:18.361Z"
   },
   {
    "duration": 39685,
    "start_time": "2023-06-18T09:07:18.391Z"
   },
   {
    "duration": 2,
    "start_time": "2023-06-18T09:07:58.078Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-18T09:07:58.081Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-18T09:08:14.771Z"
   },
   {
    "duration": 17094,
    "start_time": "2023-06-18T09:08:14.779Z"
   },
   {
    "duration": 3851,
    "start_time": "2023-06-18T09:09:27.774Z"
   },
   {
    "duration": 2034,
    "start_time": "2023-06-18T09:09:34.771Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-18T09:09:36.807Z"
   },
   {
    "duration": 46,
    "start_time": "2023-06-18T09:09:36.811Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-18T09:09:36.858Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-18T09:09:36.863Z"
   },
   {
    "duration": 20,
    "start_time": "2023-06-18T09:09:36.871Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-18T09:09:36.892Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-18T09:09:36.896Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-18T09:09:36.905Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-18T09:09:36.919Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-18T09:09:36.927Z"
   },
   {
    "duration": 37,
    "start_time": "2023-06-18T09:09:36.934Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-18T09:09:36.972Z"
   },
   {
    "duration": 247,
    "start_time": "2023-06-18T09:09:36.977Z"
   },
   {
    "duration": 166,
    "start_time": "2023-06-18T09:09:37.227Z"
   },
   {
    "duration": 161,
    "start_time": "2023-06-18T09:09:37.395Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-18T09:09:37.558Z"
   },
   {
    "duration": 425,
    "start_time": "2023-06-18T09:09:37.570Z"
   },
   {
    "duration": 176,
    "start_time": "2023-06-18T09:09:37.997Z"
   },
   {
    "duration": 142,
    "start_time": "2023-06-18T09:09:38.175Z"
   },
   {
    "duration": 721,
    "start_time": "2023-06-18T09:09:38.319Z"
   },
   {
    "duration": 18,
    "start_time": "2023-06-18T09:09:39.041Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-18T09:09:39.068Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-18T09:09:39.076Z"
   },
   {
    "duration": 26,
    "start_time": "2023-06-18T09:09:39.084Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-18T09:09:39.112Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-18T09:09:39.113Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-18T09:09:39.114Z"
   },
   {
    "duration": 40283,
    "start_time": "2023-06-18T09:09:48.001Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-18T09:11:03.942Z"
   },
   {
    "duration": 16371,
    "start_time": "2023-06-18T09:11:04.110Z"
   },
   {
    "duration": 6528,
    "start_time": "2023-06-18T09:11:45.751Z"
   },
   {
    "duration": 83,
    "start_time": "2023-06-18T09:13:28.450Z"
   },
   {
    "duration": 7046,
    "start_time": "2023-06-18T09:13:42.732Z"
   },
   {
    "duration": 2127,
    "start_time": "2023-06-18T09:14:01.155Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-18T09:14:03.285Z"
   },
   {
    "duration": 54,
    "start_time": "2023-06-18T09:14:03.290Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-18T09:14:03.346Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-18T09:14:03.352Z"
   },
   {
    "duration": 29,
    "start_time": "2023-06-18T09:14:03.363Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-18T09:14:03.393Z"
   },
   {
    "duration": 19,
    "start_time": "2023-06-18T09:14:03.397Z"
   },
   {
    "duration": 27,
    "start_time": "2023-06-18T09:14:03.417Z"
   },
   {
    "duration": 24,
    "start_time": "2023-06-18T09:14:03.446Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-18T09:14:03.472Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-18T09:14:03.477Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-18T09:14:03.490Z"
   },
   {
    "duration": 245,
    "start_time": "2023-06-18T09:14:03.499Z"
   },
   {
    "duration": 290,
    "start_time": "2023-06-18T09:14:03.746Z"
   },
   {
    "duration": 197,
    "start_time": "2023-06-18T09:14:04.038Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-18T09:14:04.237Z"
   },
   {
    "duration": 431,
    "start_time": "2023-06-18T09:14:04.244Z"
   },
   {
    "duration": 169,
    "start_time": "2023-06-18T09:14:04.677Z"
   },
   {
    "duration": 144,
    "start_time": "2023-06-18T09:14:04.847Z"
   },
   {
    "duration": 648,
    "start_time": "2023-06-18T09:14:04.992Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-18T09:14:05.641Z"
   },
   {
    "duration": 65,
    "start_time": "2023-06-18T09:14:05.657Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-18T09:14:05.723Z"
   },
   {
    "duration": 40853,
    "start_time": "2023-06-18T09:14:05.732Z"
   },
   {
    "duration": 2,
    "start_time": "2023-06-18T09:14:46.587Z"
   },
   {
    "duration": 82,
    "start_time": "2023-06-18T09:14:46.591Z"
   },
   {
    "duration": 15790,
    "start_time": "2023-06-18T09:14:46.675Z"
   },
   {
    "duration": 28616,
    "start_time": "2023-06-18T09:15:19.264Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-18T09:15:47.882Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-18T09:15:47.883Z"
   },
   {
    "duration": 2084,
    "start_time": "2023-06-18T09:15:53.251Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-18T09:15:55.337Z"
   },
   {
    "duration": 46,
    "start_time": "2023-06-18T09:15:55.342Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-18T09:15:55.390Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-18T09:15:55.395Z"
   },
   {
    "duration": 22,
    "start_time": "2023-06-18T09:15:55.407Z"
   },
   {
    "duration": 2,
    "start_time": "2023-06-18T09:15:55.431Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-18T09:15:55.435Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-18T09:15:55.443Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-18T09:15:55.468Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-18T09:15:55.474Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-18T09:15:55.480Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-18T09:15:55.492Z"
   },
   {
    "duration": 250,
    "start_time": "2023-06-18T09:15:55.501Z"
   },
   {
    "duration": 163,
    "start_time": "2023-06-18T09:15:55.752Z"
   },
   {
    "duration": 168,
    "start_time": "2023-06-18T09:15:55.916Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-18T09:15:56.086Z"
   },
   {
    "duration": 516,
    "start_time": "2023-06-18T09:15:56.092Z"
   },
   {
    "duration": 171,
    "start_time": "2023-06-18T09:15:56.609Z"
   },
   {
    "duration": 145,
    "start_time": "2023-06-18T09:15:56.782Z"
   },
   {
    "duration": 691,
    "start_time": "2023-06-18T09:15:56.928Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-18T09:15:57.621Z"
   },
   {
    "duration": 15,
    "start_time": "2023-06-18T09:15:57.636Z"
   },
   {
    "duration": 15,
    "start_time": "2023-06-18T09:15:57.652Z"
   },
   {
    "duration": 2042,
    "start_time": "2023-06-18T09:16:37.519Z"
   },
   {
    "duration": 1815,
    "start_time": "2023-06-18T09:16:39.563Z"
   },
   {
    "duration": 36,
    "start_time": "2023-06-18T09:16:41.380Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-18T09:16:41.418Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-18T09:16:41.424Z"
   },
   {
    "duration": 26,
    "start_time": "2023-06-18T09:16:41.437Z"
   },
   {
    "duration": 2,
    "start_time": "2023-06-18T09:16:41.464Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-18T09:16:41.468Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-18T09:16:41.483Z"
   },
   {
    "duration": 32,
    "start_time": "2023-06-18T09:16:41.498Z"
   },
   {
    "duration": 29,
    "start_time": "2023-06-18T09:16:41.532Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-18T09:16:41.563Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-18T09:16:41.572Z"
   },
   {
    "duration": 318,
    "start_time": "2023-06-18T09:16:41.579Z"
   },
   {
    "duration": 156,
    "start_time": "2023-06-18T09:16:41.898Z"
   },
   {
    "duration": 164,
    "start_time": "2023-06-18T09:16:42.056Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-18T09:16:42.222Z"
   },
   {
    "duration": 417,
    "start_time": "2023-06-18T09:16:42.228Z"
   },
   {
    "duration": 161,
    "start_time": "2023-06-18T09:16:42.647Z"
   },
   {
    "duration": 146,
    "start_time": "2023-06-18T09:16:42.810Z"
   },
   {
    "duration": 617,
    "start_time": "2023-06-18T09:16:42.957Z"
   },
   {
    "duration": 112,
    "start_time": "2023-06-18T09:16:43.575Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-18T09:16:43.688Z"
   },
   {
    "duration": 20,
    "start_time": "2023-06-18T09:16:43.706Z"
   },
   {
    "duration": 41163,
    "start_time": "2023-06-18T09:16:43.727Z"
   },
   {
    "duration": 77,
    "start_time": "2023-06-18T09:17:24.891Z"
   },
   {
    "duration": 27,
    "start_time": "2023-06-18T09:17:24.970Z"
   },
   {
    "duration": 9796,
    "start_time": "2023-06-18T09:17:24.998Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-18T09:17:34.796Z"
   },
   {
    "duration": 2092,
    "start_time": "2023-06-18T09:17:39.308Z"
   },
   {
    "duration": 1785,
    "start_time": "2023-06-18T09:17:41.401Z"
   },
   {
    "duration": 35,
    "start_time": "2023-06-18T09:17:43.187Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-18T09:17:43.224Z"
   },
   {
    "duration": 16,
    "start_time": "2023-06-18T09:17:43.229Z"
   },
   {
    "duration": 48,
    "start_time": "2023-06-18T09:17:43.246Z"
   },
   {
    "duration": 2,
    "start_time": "2023-06-18T09:17:43.296Z"
   },
   {
    "duration": 19,
    "start_time": "2023-06-18T09:17:43.300Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-18T09:17:43.320Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-18T09:17:43.332Z"
   },
   {
    "duration": 36,
    "start_time": "2023-06-18T09:17:43.345Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-18T09:17:43.383Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-18T09:17:43.391Z"
   },
   {
    "duration": 315,
    "start_time": "2023-06-18T09:17:43.398Z"
   },
   {
    "duration": 161,
    "start_time": "2023-06-18T09:17:43.715Z"
   },
   {
    "duration": 206,
    "start_time": "2023-06-18T09:17:43.877Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-18T09:17:44.085Z"
   },
   {
    "duration": 476,
    "start_time": "2023-06-18T09:17:44.094Z"
   },
   {
    "duration": 170,
    "start_time": "2023-06-18T09:17:44.571Z"
   },
   {
    "duration": 154,
    "start_time": "2023-06-18T09:17:44.743Z"
   },
   {
    "duration": 613,
    "start_time": "2023-06-18T09:17:44.898Z"
   },
   {
    "duration": 113,
    "start_time": "2023-06-18T09:17:45.513Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-18T09:17:45.628Z"
   },
   {
    "duration": 15,
    "start_time": "2023-06-18T09:17:45.636Z"
   },
   {
    "duration": 40315,
    "start_time": "2023-06-18T09:17:45.653Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-18T09:18:25.970Z"
   },
   {
    "duration": 26,
    "start_time": "2023-06-18T09:18:25.976Z"
   },
   {
    "duration": 16023,
    "start_time": "2023-06-18T09:18:26.005Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-18T09:20:55.741Z"
   },
   {
    "duration": 15661,
    "start_time": "2023-06-18T09:20:56.271Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-18T09:21:21.532Z"
   },
   {
    "duration": 5510,
    "start_time": "2023-06-18T09:21:23.541Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-18T09:21:42.056Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-18T09:21:57.952Z"
   },
   {
    "duration": 9611,
    "start_time": "2023-06-18T09:21:57.969Z"
   },
   {
    "duration": 2089,
    "start_time": "2023-06-18T09:22:25.860Z"
   },
   {
    "duration": 1803,
    "start_time": "2023-06-18T09:22:27.951Z"
   },
   {
    "duration": 35,
    "start_time": "2023-06-18T09:22:29.756Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-18T09:22:29.793Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-18T09:22:29.798Z"
   },
   {
    "duration": 25,
    "start_time": "2023-06-18T09:22:29.807Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-18T09:22:29.833Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-18T09:22:29.838Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-18T09:22:29.849Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-18T09:22:29.867Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-18T09:22:29.876Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-18T09:22:29.882Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-18T09:22:29.890Z"
   },
   {
    "duration": 331,
    "start_time": "2023-06-18T09:22:29.895Z"
   },
   {
    "duration": 157,
    "start_time": "2023-06-18T09:22:30.227Z"
   },
   {
    "duration": 171,
    "start_time": "2023-06-18T09:22:30.386Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-18T09:22:30.558Z"
   },
   {
    "duration": 456,
    "start_time": "2023-06-18T09:22:30.570Z"
   },
   {
    "duration": 169,
    "start_time": "2023-06-18T09:22:31.028Z"
   },
   {
    "duration": 151,
    "start_time": "2023-06-18T09:22:31.198Z"
   },
   {
    "duration": 638,
    "start_time": "2023-06-18T09:22:31.350Z"
   },
   {
    "duration": 107,
    "start_time": "2023-06-18T09:22:31.990Z"
   },
   {
    "duration": 22,
    "start_time": "2023-06-18T09:22:32.098Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-18T09:22:32.122Z"
   },
   {
    "duration": 38447,
    "start_time": "2023-06-18T09:22:32.129Z"
   },
   {
    "duration": 2,
    "start_time": "2023-06-18T09:23:10.578Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-18T09:23:10.582Z"
   },
   {
    "duration": 16442,
    "start_time": "2023-06-18T09:23:10.593Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-18T09:23:58.720Z"
   },
   {
    "duration": 2325,
    "start_time": "2023-06-18T09:24:07.056Z"
   },
   {
    "duration": 1799,
    "start_time": "2023-06-18T09:24:09.383Z"
   },
   {
    "duration": 35,
    "start_time": "2023-06-18T09:24:11.184Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-18T09:24:11.222Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-18T09:24:11.227Z"
   },
   {
    "duration": 30,
    "start_time": "2023-06-18T09:24:11.238Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-18T09:24:11.270Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-18T09:24:11.275Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-18T09:24:11.283Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-18T09:24:11.297Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-18T09:24:11.307Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-18T09:24:11.317Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-18T09:24:11.325Z"
   },
   {
    "duration": 365,
    "start_time": "2023-06-18T09:24:11.331Z"
   },
   {
    "duration": 199,
    "start_time": "2023-06-18T09:24:11.698Z"
   },
   {
    "duration": 192,
    "start_time": "2023-06-18T09:24:11.899Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-18T09:24:12.093Z"
   },
   {
    "duration": 524,
    "start_time": "2023-06-18T09:24:12.100Z"
   },
   {
    "duration": 200,
    "start_time": "2023-06-18T09:24:12.626Z"
   },
   {
    "duration": 175,
    "start_time": "2023-06-18T09:24:12.827Z"
   },
   {
    "duration": 742,
    "start_time": "2023-06-18T09:24:13.004Z"
   },
   {
    "duration": 124,
    "start_time": "2023-06-18T09:24:13.747Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-18T09:24:13.873Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-18T09:24:13.882Z"
   },
   {
    "duration": 40296,
    "start_time": "2023-06-18T09:24:13.894Z"
   },
   {
    "duration": 76,
    "start_time": "2023-06-18T09:24:54.192Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-18T09:24:54.270Z"
   },
   {
    "duration": 15970,
    "start_time": "2023-06-18T09:24:54.279Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-18T09:25:10.251Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-18T09:25:30.408Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-18T09:25:30.567Z"
   },
   {
    "duration": 39055,
    "start_time": "2023-06-18T09:25:30.719Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-18T09:26:26.966Z"
   },
   {
    "duration": 15826,
    "start_time": "2023-06-18T09:26:27.556Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-18T09:27:02.942Z"
   },
   {
    "duration": 16487,
    "start_time": "2023-06-18T09:27:03.577Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-18T09:30:18.384Z"
   },
   {
    "duration": 27,
    "start_time": "2023-06-18T09:30:18.392Z"
   },
   {
    "duration": 23292,
    "start_time": "2023-06-18T09:30:18.421Z"
   },
   {
    "duration": 41639,
    "start_time": "2023-06-18T09:30:44.154Z"
   },
   {
    "duration": 20,
    "start_time": "2023-06-18T09:32:42.622Z"
   },
   {
    "duration": 28,
    "start_time": "2023-06-18T09:33:00.810Z"
   },
   {
    "duration": 21,
    "start_time": "2023-06-18T09:33:37.256Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-18T09:33:39.026Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-18T09:33:39.204Z"
   },
   {
    "duration": 39586,
    "start_time": "2023-06-18T09:33:39.694Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-18T09:46:05.863Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-18T09:46:17.566Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-18T09:46:24.007Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-18T09:46:30.005Z"
   },
   {
    "duration": 15,
    "start_time": "2023-06-18T09:46:31.598Z"
   },
   {
    "duration": 15,
    "start_time": "2023-06-18T09:47:27.520Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-18T09:47:30.835Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-18T09:47:48.701Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-18T09:47:51.133Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-18T09:47:55.717Z"
   },
   {
    "duration": 2093,
    "start_time": "2023-06-18T09:48:01.746Z"
   },
   {
    "duration": 1923,
    "start_time": "2023-06-18T09:48:03.841Z"
   },
   {
    "duration": 39,
    "start_time": "2023-06-18T09:48:05.765Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-18T09:48:05.806Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-18T09:48:05.812Z"
   },
   {
    "duration": 24,
    "start_time": "2023-06-18T09:48:05.821Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-18T09:48:05.847Z"
   },
   {
    "duration": 18,
    "start_time": "2023-06-18T09:48:05.852Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-18T09:48:05.871Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-18T09:48:05.884Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-18T09:48:05.896Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-18T09:48:05.906Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-18T09:48:05.916Z"
   },
   {
    "duration": 323,
    "start_time": "2023-06-18T09:48:05.929Z"
   },
   {
    "duration": 147,
    "start_time": "2023-06-18T09:48:06.254Z"
   },
   {
    "duration": 172,
    "start_time": "2023-06-18T09:48:06.403Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-18T09:48:06.577Z"
   },
   {
    "duration": 419,
    "start_time": "2023-06-18T09:48:06.585Z"
   },
   {
    "duration": 173,
    "start_time": "2023-06-18T09:48:07.006Z"
   },
   {
    "duration": 163,
    "start_time": "2023-06-18T09:48:07.181Z"
   },
   {
    "duration": 699,
    "start_time": "2023-06-18T09:48:07.345Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-18T09:48:08.046Z"
   },
   {
    "duration": 20,
    "start_time": "2023-06-18T09:48:08.068Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-18T09:48:08.090Z"
   },
   {
    "duration": 39579,
    "start_time": "2023-06-18T09:48:08.097Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-18T09:48:47.678Z"
   },
   {
    "duration": 15831,
    "start_time": "2023-06-18T09:48:47.688Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-18T09:49:03.521Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-18T09:49:03.532Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-18T09:49:21.473Z"
   },
   {
    "duration": 83,
    "start_time": "2023-06-18T09:49:21.690Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-18T09:49:23.501Z"
   },
   {
    "duration": 22,
    "start_time": "2023-06-18T09:49:34.205Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-18T09:49:39.530Z"
   },
   {
    "duration": 132,
    "start_time": "2023-06-18T09:50:27.453Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-18T09:50:36.230Z"
   },
   {
    "duration": 21,
    "start_time": "2023-06-18T09:50:41.223Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-18T09:50:43.603Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-18T09:50:53.325Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-18T09:53:58.180Z"
   },
   {
    "duration": 23,
    "start_time": "2023-06-18T09:54:49.284Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-18T09:54:53.715Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-18T09:54:57.980Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-18T09:54:59.552Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-18T09:55:09.079Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-18T09:55:13.077Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-18T09:55:19.155Z"
   },
   {
    "duration": 37,
    "start_time": "2023-06-18T09:55:37.458Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-18T09:56:03.533Z"
   },
   {
    "duration": 44,
    "start_time": "2023-06-18T09:56:04.036Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-18T09:56:26.733Z"
   },
   {
    "duration": 29,
    "start_time": "2023-06-18T09:56:29.129Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-18T09:57:08.102Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-18T09:57:11.943Z"
   },
   {
    "duration": 12684,
    "start_time": "2023-06-18T09:57:21.800Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-18T09:57:38.399Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-18T09:57:40.542Z"
   },
   {
    "duration": 19,
    "start_time": "2023-06-18T09:57:44.769Z"
   },
   {
    "duration": 25,
    "start_time": "2023-06-18T09:57:55.796Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-18T09:57:57.832Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-18T09:58:01.827Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-18T09:58:04.965Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-18T09:58:12.137Z"
   },
   {
    "duration": 36,
    "start_time": "2023-06-18T09:58:23.058Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-18T09:58:25.149Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-18T09:58:26.842Z"
   },
   {
    "duration": 6997,
    "start_time": "2023-06-18T09:58:28.389Z"
   },
   {
    "duration": 2111,
    "start_time": "2023-06-18T09:58:40.732Z"
   },
   {
    "duration": 1959,
    "start_time": "2023-06-18T09:58:42.845Z"
   },
   {
    "duration": 37,
    "start_time": "2023-06-18T09:58:44.806Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-18T09:58:44.844Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-18T09:58:44.849Z"
   },
   {
    "duration": 24,
    "start_time": "2023-06-18T09:58:44.860Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-18T09:58:44.885Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-18T09:58:44.891Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-18T09:58:44.901Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-18T09:58:44.913Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-18T09:58:44.921Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-18T09:58:44.928Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-18T09:58:44.940Z"
   },
   {
    "duration": 349,
    "start_time": "2023-06-18T09:58:44.954Z"
   },
   {
    "duration": 159,
    "start_time": "2023-06-18T09:58:45.304Z"
   },
   {
    "duration": 174,
    "start_time": "2023-06-18T09:58:45.469Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-18T09:58:45.644Z"
   },
   {
    "duration": 460,
    "start_time": "2023-06-18T09:58:45.651Z"
   },
   {
    "duration": 195,
    "start_time": "2023-06-18T09:58:46.112Z"
   },
   {
    "duration": 152,
    "start_time": "2023-06-18T09:58:46.309Z"
   },
   {
    "duration": 632,
    "start_time": "2023-06-18T09:58:46.471Z"
   },
   {
    "duration": 111,
    "start_time": "2023-06-18T09:58:47.104Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-18T09:58:47.217Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-18T09:58:47.223Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-18T09:58:47.232Z"
   },
   {
    "duration": 48947,
    "start_time": "2023-06-18T09:58:47.240Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-18T09:59:36.189Z"
   },
   {
    "duration": 16169,
    "start_time": "2023-06-18T09:59:36.199Z"
   },
   {
    "duration": 139,
    "start_time": "2023-06-18T09:59:52.369Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-18T09:59:52.510Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-18T09:59:52.512Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-18T09:59:52.513Z"
   },
   {
    "duration": 15,
    "start_time": "2023-06-18T10:01:31.680Z"
   },
   {
    "duration": 25,
    "start_time": "2023-06-18T10:01:35.600Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-18T10:02:02.973Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-18T10:02:04.241Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-18T10:02:05.450Z"
   },
   {
    "duration": 22,
    "start_time": "2023-06-18T10:02:11.101Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-18T10:02:15.902Z"
   },
   {
    "duration": 27,
    "start_time": "2023-06-18T10:02:57.202Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-18T10:02:59.151Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-18T10:03:01.696Z"
   },
   {
    "duration": 7328,
    "start_time": "2023-06-18T10:03:02.053Z"
   },
   {
    "duration": 2180,
    "start_time": "2023-06-18T10:03:12.703Z"
   },
   {
    "duration": 1783,
    "start_time": "2023-06-18T10:03:14.885Z"
   },
   {
    "duration": 35,
    "start_time": "2023-06-18T10:03:16.670Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-18T10:03:16.707Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-18T10:03:16.712Z"
   },
   {
    "duration": 37,
    "start_time": "2023-06-18T10:03:16.728Z"
   },
   {
    "duration": 2,
    "start_time": "2023-06-18T10:03:16.767Z"
   },
   {
    "duration": 16,
    "start_time": "2023-06-18T10:03:16.771Z"
   },
   {
    "duration": 28,
    "start_time": "2023-06-18T10:03:16.788Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-18T10:03:16.817Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-18T10:03:16.829Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-18T10:03:16.843Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-18T10:03:16.849Z"
   },
   {
    "duration": 315,
    "start_time": "2023-06-18T10:03:16.856Z"
   },
   {
    "duration": 172,
    "start_time": "2023-06-18T10:03:17.172Z"
   },
   {
    "duration": 161,
    "start_time": "2023-06-18T10:03:17.345Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-18T10:03:17.508Z"
   },
   {
    "duration": 434,
    "start_time": "2023-06-18T10:03:17.514Z"
   },
   {
    "duration": 170,
    "start_time": "2023-06-18T10:03:17.949Z"
   },
   {
    "duration": 159,
    "start_time": "2023-06-18T10:03:18.121Z"
   },
   {
    "duration": 615,
    "start_time": "2023-06-18T10:03:18.281Z"
   },
   {
    "duration": 114,
    "start_time": "2023-06-18T10:03:18.898Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-18T10:03:19.014Z"
   },
   {
    "duration": 18,
    "start_time": "2023-06-18T10:03:19.025Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-18T10:03:19.045Z"
   },
   {
    "duration": 41213,
    "start_time": "2023-06-18T10:03:19.057Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-18T10:04:00.271Z"
   },
   {
    "duration": 16219,
    "start_time": "2023-06-18T10:04:00.280Z"
   },
   {
    "duration": 26,
    "start_time": "2023-06-18T10:04:16.501Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-18T10:04:16.529Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-18T10:04:16.537Z"
   },
   {
    "duration": 36034,
    "start_time": "2023-06-18T10:04:16.543Z"
   },
   {
    "duration": 9032,
    "start_time": "2023-06-18T10:14:48.527Z"
   },
   {
    "duration": 2237,
    "start_time": "2023-06-18T10:15:20.655Z"
   },
   {
    "duration": 1771,
    "start_time": "2023-06-18T10:15:22.894Z"
   },
   {
    "duration": 36,
    "start_time": "2023-06-18T10:15:24.667Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-18T10:15:24.705Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-18T10:15:24.709Z"
   },
   {
    "duration": 19,
    "start_time": "2023-06-18T10:15:24.718Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-18T10:15:24.738Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-18T10:15:24.745Z"
   },
   {
    "duration": 23,
    "start_time": "2023-06-18T10:15:24.763Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-18T10:15:24.788Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-18T10:15:24.798Z"
   },
   {
    "duration": 24,
    "start_time": "2023-06-18T10:15:24.813Z"
   },
   {
    "duration": 20,
    "start_time": "2023-06-18T10:15:24.838Z"
   },
   {
    "duration": 317,
    "start_time": "2023-06-18T10:15:24.860Z"
   },
   {
    "duration": 140,
    "start_time": "2023-06-18T10:15:25.179Z"
   },
   {
    "duration": 167,
    "start_time": "2023-06-18T10:15:25.320Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-18T10:15:25.488Z"
   },
   {
    "duration": 434,
    "start_time": "2023-06-18T10:15:25.494Z"
   },
   {
    "duration": 162,
    "start_time": "2023-06-18T10:15:25.929Z"
   },
   {
    "duration": 144,
    "start_time": "2023-06-18T10:15:26.093Z"
   },
   {
    "duration": 609,
    "start_time": "2023-06-18T10:15:26.239Z"
   },
   {
    "duration": 106,
    "start_time": "2023-06-18T10:15:26.850Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-18T10:15:26.957Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-18T10:15:26.972Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-18T10:15:26.982Z"
   },
   {
    "duration": 40295,
    "start_time": "2023-06-18T10:15:26.989Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-18T10:16:07.286Z"
   },
   {
    "duration": 16605,
    "start_time": "2023-06-18T10:16:07.297Z"
   },
   {
    "duration": 16588,
    "start_time": "2023-06-18T10:16:23.903Z"
   },
   {
    "duration": 92,
    "start_time": "2023-06-19T11:37:03.076Z"
   },
   {
    "duration": 3456,
    "start_time": "2023-06-19T11:42:44.108Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:47.568Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:47.570Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:47.571Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:47.572Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:47.573Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:47.575Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:47.576Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:47.578Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:47.580Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:47.581Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:47.582Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:47.584Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:47.585Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:47.586Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:47.587Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:47.588Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:47.589Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:47.591Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:47.592Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:47.593Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:47.594Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:47.595Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:47.597Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:47.599Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:47.601Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:47.657Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:47.658Z"
   },
   {
    "duration": 2505,
    "start_time": "2023-06-19T11:42:56.089Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:58.596Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:58.598Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:58.599Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:58.600Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:58.601Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:58.602Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:58.603Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:58.605Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:58.606Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:58.607Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:58.608Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:58.610Z"
   },
   {
    "duration": 1,
    "start_time": "2023-06-19T11:42:58.610Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:58.612Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:58.613Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:58.614Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:58.615Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:58.616Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T11:42:58.617Z"
   },
   {
    "duration": 2048,
    "start_time": "2023-06-19T12:30:27.675Z"
   },
   {
    "duration": 2279,
    "start_time": "2023-06-19T12:30:58.249Z"
   },
   {
    "duration": 266,
    "start_time": "2023-06-19T12:32:33.115Z"
   },
   {
    "duration": 77518,
    "start_time": "2023-06-19T12:32:34.988Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-19T12:33:52.509Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T12:33:52.519Z"
   },
   {
    "duration": 2386,
    "start_time": "2023-06-19T12:33:54.373Z"
   },
   {
    "duration": 10290,
    "start_time": "2023-06-19T12:35:27.447Z"
   },
   {
    "duration": 6172,
    "start_time": "2023-06-19T12:35:38.851Z"
   },
   {
    "duration": 4561,
    "start_time": "2023-06-19T12:36:12.285Z"
   },
   {
    "duration": 82,
    "start_time": "2023-06-19T12:36:25.226Z"
   },
   {
    "duration": 6221,
    "start_time": "2023-06-19T12:36:33.734Z"
   },
   {
    "duration": 5454,
    "start_time": "2023-06-19T12:36:39.958Z"
   },
   {
    "duration": 38,
    "start_time": "2023-06-19T12:36:45.414Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-19T12:36:45.454Z"
   },
   {
    "duration": 15,
    "start_time": "2023-06-19T12:36:45.462Z"
   },
   {
    "duration": 48,
    "start_time": "2023-06-19T12:36:45.479Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-19T12:36:45.528Z"
   },
   {
    "duration": 50,
    "start_time": "2023-06-19T12:36:45.533Z"
   },
   {
    "duration": 26,
    "start_time": "2023-06-19T12:36:45.584Z"
   },
   {
    "duration": 19,
    "start_time": "2023-06-19T12:36:45.612Z"
   },
   {
    "duration": 20,
    "start_time": "2023-06-19T12:36:45.633Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-19T12:36:45.655Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T12:36:45.674Z"
   },
   {
    "duration": 439,
    "start_time": "2023-06-19T12:36:45.683Z"
   },
   {
    "duration": 216,
    "start_time": "2023-06-19T12:36:46.124Z"
   },
   {
    "duration": 238,
    "start_time": "2023-06-19T12:36:46.342Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-19T12:36:46.582Z"
   },
   {
    "duration": 586,
    "start_time": "2023-06-19T12:36:46.591Z"
   },
   {
    "duration": 245,
    "start_time": "2023-06-19T12:36:47.179Z"
   },
   {
    "duration": 201,
    "start_time": "2023-06-19T12:36:47.425Z"
   },
   {
    "duration": 812,
    "start_time": "2023-06-19T12:36:47.627Z"
   },
   {
    "duration": 5332,
    "start_time": "2023-06-19T12:41:22.968Z"
   },
   {
    "duration": 5411,
    "start_time": "2023-06-19T12:41:28.303Z"
   },
   {
    "duration": 38,
    "start_time": "2023-06-19T12:41:33.716Z"
   },
   {
    "duration": 28,
    "start_time": "2023-06-19T12:41:33.756Z"
   },
   {
    "duration": 20,
    "start_time": "2023-06-19T12:41:33.787Z"
   },
   {
    "duration": 181,
    "start_time": "2023-06-19T12:41:33.809Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T12:41:33.992Z"
   },
   {
    "duration": 27,
    "start_time": "2023-06-19T12:41:33.999Z"
   },
   {
    "duration": 18,
    "start_time": "2023-06-19T12:41:34.028Z"
   },
   {
    "duration": 22,
    "start_time": "2023-06-19T12:41:34.048Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-19T12:41:34.072Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-19T12:41:34.081Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-19T12:41:34.094Z"
   },
   {
    "duration": 317,
    "start_time": "2023-06-19T12:41:34.106Z"
   },
   {
    "duration": 179,
    "start_time": "2023-06-19T12:41:34.425Z"
   },
   {
    "duration": 203,
    "start_time": "2023-06-19T12:41:34.607Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T12:41:34.813Z"
   },
   {
    "duration": 497,
    "start_time": "2023-06-19T12:41:34.821Z"
   },
   {
    "duration": 198,
    "start_time": "2023-06-19T12:41:35.319Z"
   },
   {
    "duration": 168,
    "start_time": "2023-06-19T12:41:35.519Z"
   },
   {
    "duration": 754,
    "start_time": "2023-06-19T12:41:35.690Z"
   },
   {
    "duration": 44,
    "start_time": "2023-06-19T12:42:26.578Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-19T12:42:35.747Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-19T12:42:42.128Z"
   },
   {
    "duration": 191,
    "start_time": "2023-06-19T12:46:06.835Z"
   },
   {
    "duration": 26,
    "start_time": "2023-06-19T12:46:13.141Z"
   },
   {
    "duration": 27,
    "start_time": "2023-06-19T12:46:18.216Z"
   },
   {
    "duration": 30,
    "start_time": "2023-06-19T12:46:50.441Z"
   },
   {
    "duration": 36,
    "start_time": "2023-06-19T12:47:36.708Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T12:52:26.777Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-19T12:52:32.380Z"
   },
   {
    "duration": 21,
    "start_time": "2023-06-19T12:52:34.658Z"
   },
   {
    "duration": 63857,
    "start_time": "2023-06-19T12:52:35.440Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-19T12:55:26.176Z"
   },
   {
    "duration": 65376,
    "start_time": "2023-06-19T12:55:29.082Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-19T12:57:15.685Z"
   },
   {
    "duration": 1002,
    "start_time": "2023-06-19T12:57:17.722Z"
   },
   {
    "duration": 1200,
    "start_time": "2023-06-19T12:57:18.726Z"
   },
   {
    "duration": 68559,
    "start_time": "2023-06-19T12:57:19.929Z"
   },
   {
    "duration": 111,
    "start_time": "2023-06-19T13:11:59.481Z"
   },
   {
    "duration": 18,
    "start_time": "2023-06-19T13:12:08.539Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-19T13:12:33.257Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-19T13:13:36.280Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-19T13:13:40.674Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-19T13:13:41.287Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-19T13:13:41.583Z"
   },
   {
    "duration": 47032,
    "start_time": "2023-06-19T13:13:42.243Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-19T13:14:42.907Z"
   },
   {
    "duration": 4798,
    "start_time": "2023-06-19T13:14:44.390Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-19T13:15:11.315Z"
   },
   {
    "duration": 4324,
    "start_time": "2023-06-19T13:15:15.209Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T13:15:31.441Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-19T13:15:43.890Z"
   },
   {
    "duration": 40154,
    "start_time": "2023-06-19T13:15:47.521Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T13:16:39.558Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-19T13:16:55.286Z"
   },
   {
    "duration": 33218,
    "start_time": "2023-06-19T13:17:02.956Z"
   },
   {
    "duration": 6025,
    "start_time": "2023-06-19T13:17:39.772Z"
   },
   {
    "duration": 6379,
    "start_time": "2023-06-19T13:17:45.800Z"
   },
   {
    "duration": 43,
    "start_time": "2023-06-19T13:17:52.182Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T13:17:52.228Z"
   },
   {
    "duration": 27,
    "start_time": "2023-06-19T13:17:52.236Z"
   },
   {
    "duration": 70,
    "start_time": "2023-06-19T13:17:52.265Z"
   },
   {
    "duration": 27,
    "start_time": "2023-06-19T13:17:52.337Z"
   },
   {
    "duration": 19,
    "start_time": "2023-06-19T13:17:52.372Z"
   },
   {
    "duration": 46,
    "start_time": "2023-06-19T13:17:52.393Z"
   },
   {
    "duration": 41,
    "start_time": "2023-06-19T13:17:52.443Z"
   },
   {
    "duration": 29,
    "start_time": "2023-06-19T13:17:52.486Z"
   },
   {
    "duration": 30,
    "start_time": "2023-06-19T13:17:52.517Z"
   },
   {
    "duration": 36,
    "start_time": "2023-06-19T13:17:52.549Z"
   },
   {
    "duration": 556,
    "start_time": "2023-06-19T13:17:52.587Z"
   },
   {
    "duration": 233,
    "start_time": "2023-06-19T13:17:53.146Z"
   },
   {
    "duration": 240,
    "start_time": "2023-06-19T13:17:53.381Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-19T13:17:53.624Z"
   },
   {
    "duration": 651,
    "start_time": "2023-06-19T13:17:53.633Z"
   },
   {
    "duration": 253,
    "start_time": "2023-06-19T13:17:54.286Z"
   },
   {
    "duration": 202,
    "start_time": "2023-06-19T13:17:54.541Z"
   },
   {
    "duration": 773,
    "start_time": "2023-06-19T13:17:54.745Z"
   },
   {
    "duration": 25,
    "start_time": "2023-06-19T13:17:55.520Z"
   },
   {
    "duration": 31,
    "start_time": "2023-06-19T13:17:55.547Z"
   },
   {
    "duration": 33,
    "start_time": "2023-06-19T13:17:55.580Z"
   },
   {
    "duration": 18,
    "start_time": "2023-06-19T13:17:55.615Z"
   },
   {
    "duration": 49244,
    "start_time": "2023-06-19T13:17:55.635Z"
   },
   {
    "duration": 80,
    "start_time": "2023-06-19T13:18:44.881Z"
   },
   {
    "duration": 110804,
    "start_time": "2023-06-19T13:18:44.964Z"
   },
   {
    "duration": 2323,
    "start_time": "2023-06-19T13:23:14.670Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T13:23:32.693Z"
   },
   {
    "duration": 2553,
    "start_time": "2023-06-19T13:23:40.130Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-19T13:23:45.235Z"
   },
   {
    "duration": 16272,
    "start_time": "2023-06-19T13:23:45.425Z"
   },
   {
    "duration": 5642,
    "start_time": "2023-06-19T13:24:06.600Z"
   },
   {
    "duration": 5799,
    "start_time": "2023-06-19T13:24:12.245Z"
   },
   {
    "duration": 42,
    "start_time": "2023-06-19T13:24:18.047Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-19T13:24:18.090Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-19T13:24:18.098Z"
   },
   {
    "duration": 28,
    "start_time": "2023-06-19T13:24:18.116Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T13:24:18.145Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-19T13:24:18.150Z"
   },
   {
    "duration": 15,
    "start_time": "2023-06-19T13:24:18.161Z"
   },
   {
    "duration": 26,
    "start_time": "2023-06-19T13:24:18.178Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T13:24:18.205Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-19T13:24:18.213Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-19T13:24:18.222Z"
   },
   {
    "duration": 295,
    "start_time": "2023-06-19T13:24:18.230Z"
   },
   {
    "duration": 185,
    "start_time": "2023-06-19T13:24:18.526Z"
   },
   {
    "duration": 203,
    "start_time": "2023-06-19T13:24:18.712Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T13:24:18.916Z"
   },
   {
    "duration": 605,
    "start_time": "2023-06-19T13:24:18.923Z"
   },
   {
    "duration": 186,
    "start_time": "2023-06-19T13:24:19.530Z"
   },
   {
    "duration": 188,
    "start_time": "2023-06-19T13:24:19.718Z"
   },
   {
    "duration": 754,
    "start_time": "2023-06-19T13:24:19.907Z"
   },
   {
    "duration": 28,
    "start_time": "2023-06-19T13:24:20.663Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T13:24:20.693Z"
   },
   {
    "duration": 15,
    "start_time": "2023-06-19T13:24:20.699Z"
   },
   {
    "duration": 21,
    "start_time": "2023-06-19T13:24:20.715Z"
   },
   {
    "duration": 45633,
    "start_time": "2023-06-19T13:24:20.737Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-19T13:25:06.373Z"
   },
   {
    "duration": 128192,
    "start_time": "2023-06-19T13:25:06.385Z"
   },
   {
    "duration": 25,
    "start_time": "2023-06-19T13:30:55.542Z"
   },
   {
    "duration": 137781,
    "start_time": "2023-06-19T13:31:07.310Z"
   },
   {
    "duration": 11714,
    "start_time": "2023-06-19T13:34:49.392Z"
   },
   {
    "duration": 16,
    "start_time": "2023-06-19T13:35:14.375Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-19T13:35:18.954Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-19T13:35:29.636Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-19T13:35:35.085Z"
   },
   {
    "duration": 18369,
    "start_time": "2023-06-19T13:35:35.624Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-19T13:35:58.612Z"
   },
   {
    "duration": 12184,
    "start_time": "2023-06-19T13:35:58.892Z"
   },
   {
    "duration": 5791,
    "start_time": "2023-06-19T13:36:16.773Z"
   },
   {
    "duration": 7094,
    "start_time": "2023-06-19T13:36:22.568Z"
   },
   {
    "duration": 45,
    "start_time": "2023-06-19T13:36:29.664Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-19T13:36:29.712Z"
   },
   {
    "duration": 26,
    "start_time": "2023-06-19T13:36:29.721Z"
   },
   {
    "duration": 54,
    "start_time": "2023-06-19T13:36:29.749Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T13:36:29.805Z"
   },
   {
    "duration": 25,
    "start_time": "2023-06-19T13:36:29.812Z"
   },
   {
    "duration": 46,
    "start_time": "2023-06-19T13:36:29.839Z"
   },
   {
    "duration": 24,
    "start_time": "2023-06-19T13:36:29.887Z"
   },
   {
    "duration": 28,
    "start_time": "2023-06-19T13:36:29.912Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-19T13:36:29.941Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-19T13:36:29.952Z"
   },
   {
    "duration": 350,
    "start_time": "2023-06-19T13:36:29.968Z"
   },
   {
    "duration": 250,
    "start_time": "2023-06-19T13:36:30.321Z"
   },
   {
    "duration": 239,
    "start_time": "2023-06-19T13:36:30.574Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T13:36:30.815Z"
   },
   {
    "duration": 798,
    "start_time": "2023-06-19T13:36:30.823Z"
   },
   {
    "duration": 245,
    "start_time": "2023-06-19T13:36:31.623Z"
   },
   {
    "duration": 348,
    "start_time": "2023-06-19T13:36:31.870Z"
   },
   {
    "duration": 975,
    "start_time": "2023-06-19T13:36:32.220Z"
   },
   {
    "duration": 35,
    "start_time": "2023-06-19T13:36:33.199Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-19T13:36:33.237Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-19T13:36:33.245Z"
   },
   {
    "duration": 28,
    "start_time": "2023-06-19T13:36:33.261Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-19T13:36:33.291Z"
   },
   {
    "duration": 60989,
    "start_time": "2023-06-19T13:36:33.302Z"
   },
   {
    "duration": 64,
    "start_time": "2023-06-19T13:37:34.293Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:38:01.362Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:38:01.366Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:38:01.368Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-19T13:38:03.480Z"
   },
   {
    "duration": 14809,
    "start_time": "2023-06-19T13:38:03.973Z"
   },
   {
    "duration": 19227,
    "start_time": "2023-06-19T13:38:40.854Z"
   },
   {
    "duration": 16,
    "start_time": "2023-06-19T13:39:02.968Z"
   },
   {
    "duration": 17298,
    "start_time": "2023-06-19T13:39:04.076Z"
   },
   {
    "duration": 2038,
    "start_time": "2023-06-19T13:39:47.304Z"
   },
   {
    "duration": 246,
    "start_time": "2023-06-19T13:39:49.344Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:39:49.594Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:39:49.597Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:39:49.598Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:39:49.657Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:39:49.659Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:39:49.660Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:39:49.661Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:39:49.663Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:39:49.665Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:39:49.666Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:39:49.668Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:39:49.671Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:39:49.673Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:39:49.675Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:39:49.677Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:39:49.679Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:39:49.681Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:39:49.682Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:39:49.684Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:39:49.686Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:39:49.687Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:39:49.689Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:39:49.757Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:39:49.759Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:39:49.761Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:39:49.764Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:39:49.765Z"
   },
   {
    "duration": 5419,
    "start_time": "2023-06-19T13:39:54.202Z"
   },
   {
    "duration": 7575,
    "start_time": "2023-06-19T13:39:59.624Z"
   },
   {
    "duration": 40,
    "start_time": "2023-06-19T13:40:07.201Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T13:40:07.243Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-19T13:40:07.248Z"
   },
   {
    "duration": 28,
    "start_time": "2023-06-19T13:40:07.259Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-19T13:40:07.289Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-19T13:40:07.293Z"
   },
   {
    "duration": 15,
    "start_time": "2023-06-19T13:40:07.307Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-19T13:40:07.325Z"
   },
   {
    "duration": 27,
    "start_time": "2023-06-19T13:40:07.334Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-19T13:40:07.363Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-19T13:40:07.379Z"
   },
   {
    "duration": 388,
    "start_time": "2023-06-19T13:40:07.394Z"
   },
   {
    "duration": 197,
    "start_time": "2023-06-19T13:40:07.784Z"
   },
   {
    "duration": 218,
    "start_time": "2023-06-19T13:40:07.983Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T13:40:08.203Z"
   },
   {
    "duration": 538,
    "start_time": "2023-06-19T13:40:08.211Z"
   },
   {
    "duration": 194,
    "start_time": "2023-06-19T13:40:08.751Z"
   },
   {
    "duration": 185,
    "start_time": "2023-06-19T13:40:08.946Z"
   },
   {
    "duration": 750,
    "start_time": "2023-06-19T13:40:09.132Z"
   },
   {
    "duration": 140,
    "start_time": "2023-06-19T13:40:09.892Z"
   },
   {
    "duration": 916,
    "start_time": "2023-06-19T13:40:10.034Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-19T13:40:10.952Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-19T13:40:10.962Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-19T13:40:10.974Z"
   },
   {
    "duration": 46184,
    "start_time": "2023-06-19T13:40:10.984Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-19T13:40:57.172Z"
   },
   {
    "duration": 130538,
    "start_time": "2023-06-19T13:40:57.187Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:43:07.727Z"
   },
   {
    "duration": 14080,
    "start_time": "2023-06-19T13:43:38.602Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-19T13:44:19.651Z"
   },
   {
    "duration": 19493,
    "start_time": "2023-06-19T13:44:27.387Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-19T13:47:18.273Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T13:47:18.742Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-19T13:47:19.394Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T13:47:23.771Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T13:47:24.013Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T13:47:24.164Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T13:47:24.844Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T13:47:25.274Z"
   },
   {
    "duration": 22,
    "start_time": "2023-06-19T13:47:25.763Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T13:47:38.399Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-19T13:47:38.651Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T13:47:38.819Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T13:47:39.547Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-19T13:47:40.155Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-19T13:47:40.616Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T13:47:47.475Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-19T13:47:50.326Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T13:49:30.347Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T13:49:30.511Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T13:49:30.719Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-19T13:50:05.455Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T13:50:13.830Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-19T13:50:15.743Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T13:50:16.145Z"
   },
   {
    "duration": 21,
    "start_time": "2023-06-19T13:50:16.338Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T13:50:37.890Z"
   },
   {
    "duration": 20,
    "start_time": "2023-06-19T13:50:45.253Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-19T13:51:00.543Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-19T13:51:09.277Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-19T13:51:22.482Z"
   },
   {
    "duration": 2611,
    "start_time": "2023-06-19T13:51:25.663Z"
   },
   {
    "duration": 45493,
    "start_time": "2023-06-19T13:51:30.696Z"
   },
   {
    "duration": 59952,
    "start_time": "2023-06-19T13:52:39.020Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:53:38.975Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T13:53:38.976Z"
   },
   {
    "duration": 18,
    "start_time": "2023-06-19T13:53:40.210Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-19T13:53:53.024Z"
   },
   {
    "duration": 5755,
    "start_time": "2023-06-19T13:53:56.722Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-19T13:54:03.588Z"
   },
   {
    "duration": 19450,
    "start_time": "2023-06-19T13:54:03.937Z"
   },
   {
    "duration": 5627,
    "start_time": "2023-06-19T13:54:27.967Z"
   },
   {
    "duration": 7917,
    "start_time": "2023-06-19T13:54:33.596Z"
   },
   {
    "duration": 38,
    "start_time": "2023-06-19T13:54:41.515Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T13:54:41.555Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-19T13:54:41.561Z"
   },
   {
    "duration": 27,
    "start_time": "2023-06-19T13:54:41.574Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-19T13:54:41.603Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-19T13:54:41.614Z"
   },
   {
    "duration": 29,
    "start_time": "2023-06-19T13:54:41.627Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-19T13:54:41.660Z"
   },
   {
    "duration": 30,
    "start_time": "2023-06-19T13:54:41.671Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-19T13:54:41.704Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-19T13:54:41.720Z"
   },
   {
    "duration": 419,
    "start_time": "2023-06-19T13:54:41.728Z"
   },
   {
    "duration": 225,
    "start_time": "2023-06-19T13:54:42.149Z"
   },
   {
    "duration": 191,
    "start_time": "2023-06-19T13:54:42.375Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T13:54:42.568Z"
   },
   {
    "duration": 669,
    "start_time": "2023-06-19T13:54:42.576Z"
   },
   {
    "duration": 201,
    "start_time": "2023-06-19T13:54:43.247Z"
   },
   {
    "duration": 200,
    "start_time": "2023-06-19T13:54:43.450Z"
   },
   {
    "duration": 786,
    "start_time": "2023-06-19T13:54:43.656Z"
   },
   {
    "duration": 145,
    "start_time": "2023-06-19T13:54:44.443Z"
   },
   {
    "duration": 37,
    "start_time": "2023-06-19T13:54:44.590Z"
   },
   {
    "duration": 43,
    "start_time": "2023-06-19T13:54:44.629Z"
   },
   {
    "duration": 46,
    "start_time": "2023-06-19T13:54:44.675Z"
   },
   {
    "duration": 40,
    "start_time": "2023-06-19T13:54:44.722Z"
   },
   {
    "duration": 31,
    "start_time": "2023-06-19T13:54:44.765Z"
   },
   {
    "duration": 47760,
    "start_time": "2023-06-19T13:54:44.799Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-19T13:55:32.561Z"
   },
   {
    "duration": 111793,
    "start_time": "2023-06-19T13:55:32.577Z"
   },
   {
    "duration": 186,
    "start_time": "2023-06-19T13:57:24.372Z"
   },
   {
    "duration": 11833,
    "start_time": "2023-06-19T14:08:51.836Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-19T14:10:35.320Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-19T14:10:35.496Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T14:10:35.935Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-19T14:11:21.632Z"
   },
   {
    "duration": 4219,
    "start_time": "2023-06-19T14:11:21.844Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T14:11:29.950Z"
   },
   {
    "duration": 2951,
    "start_time": "2023-06-19T14:11:34.635Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-19T14:13:49.439Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-19T14:13:49.447Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-19T14:13:50.018Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T14:13:51.020Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-19T14:13:51.821Z"
   },
   {
    "duration": 7784,
    "start_time": "2023-06-19T14:13:52.096Z"
   },
   {
    "duration": 5373,
    "start_time": "2023-06-19T14:14:15.853Z"
   },
   {
    "duration": 7072,
    "start_time": "2023-06-19T14:14:21.229Z"
   },
   {
    "duration": 40,
    "start_time": "2023-06-19T14:14:28.303Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-19T14:14:28.345Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-19T14:14:28.349Z"
   },
   {
    "duration": 23,
    "start_time": "2023-06-19T14:14:28.360Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-19T14:14:28.385Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-19T14:14:28.389Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-19T14:14:28.398Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-19T14:14:28.412Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-19T14:14:28.421Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-19T14:14:28.458Z"
   },
   {
    "duration": 18,
    "start_time": "2023-06-19T14:14:28.465Z"
   },
   {
    "duration": 359,
    "start_time": "2023-06-19T14:14:28.485Z"
   },
   {
    "duration": 168,
    "start_time": "2023-06-19T14:14:28.847Z"
   },
   {
    "duration": 204,
    "start_time": "2023-06-19T14:14:29.017Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-19T14:14:29.223Z"
   },
   {
    "duration": 491,
    "start_time": "2023-06-19T14:14:29.232Z"
   },
   {
    "duration": 204,
    "start_time": "2023-06-19T14:14:29.725Z"
   },
   {
    "duration": 162,
    "start_time": "2023-06-19T14:14:29.931Z"
   },
   {
    "duration": 709,
    "start_time": "2023-06-19T14:14:30.094Z"
   },
   {
    "duration": 127,
    "start_time": "2023-06-19T14:14:30.805Z"
   },
   {
    "duration": 92,
    "start_time": "2023-06-19T14:14:30.934Z"
   },
   {
    "duration": 24,
    "start_time": "2023-06-19T14:14:31.028Z"
   },
   {
    "duration": 42,
    "start_time": "2023-06-19T14:14:31.054Z"
   },
   {
    "duration": 86,
    "start_time": "2023-06-19T14:14:31.098Z"
   },
   {
    "duration": 59,
    "start_time": "2023-06-19T14:14:31.185Z"
   },
   {
    "duration": 39329,
    "start_time": "2023-06-19T14:14:31.248Z"
   },
   {
    "duration": 87,
    "start_time": "2023-06-19T14:15:10.579Z"
   },
   {
    "duration": 19495,
    "start_time": "2023-06-19T14:15:10.668Z"
   },
   {
    "duration": 127,
    "start_time": "2023-06-19T14:15:30.165Z"
   },
   {
    "duration": 4310,
    "start_time": "2023-06-19T14:16:48.440Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T14:17:31.800Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-19T14:17:38.243Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T14:17:38.400Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T14:17:38.879Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T14:17:39.138Z"
   },
   {
    "duration": 40695,
    "start_time": "2023-06-19T14:17:39.278Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-19T14:18:19.976Z"
   },
   {
    "duration": 19182,
    "start_time": "2023-06-19T14:18:19.987Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T14:21:32.269Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T14:21:32.927Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-19T14:21:37.524Z"
   },
   {
    "duration": 4959,
    "start_time": "2023-06-19T14:21:38.020Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-19T14:21:56.571Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-19T14:21:57.581Z"
   },
   {
    "duration": 4162,
    "start_time": "2023-06-19T14:22:00.755Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-19T14:22:50.979Z"
   },
   {
    "duration": 3711,
    "start_time": "2023-06-19T14:22:58.247Z"
   },
   {
    "duration": 3060,
    "start_time": "2023-06-19T14:23:07.459Z"
   },
   {
    "duration": 19,
    "start_time": "2023-06-19T14:23:50.717Z"
   },
   {
    "duration": 3169,
    "start_time": "2023-06-19T14:24:03.715Z"
   },
   {
    "duration": 5819,
    "start_time": "2023-06-19T14:24:44.632Z"
   },
   {
    "duration": 8043,
    "start_time": "2023-06-19T14:24:50.453Z"
   },
   {
    "duration": 39,
    "start_time": "2023-06-19T14:24:58.498Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-19T14:24:58.540Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-19T14:24:58.545Z"
   },
   {
    "duration": 29,
    "start_time": "2023-06-19T14:24:58.555Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-19T14:24:58.586Z"
   },
   {
    "duration": 16,
    "start_time": "2023-06-19T14:24:58.599Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-19T14:24:58.617Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-19T14:24:58.637Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-19T14:24:58.647Z"
   },
   {
    "duration": 19,
    "start_time": "2023-06-19T14:24:58.660Z"
   },
   {
    "duration": 22,
    "start_time": "2023-06-19T14:24:58.681Z"
   },
   {
    "duration": 352,
    "start_time": "2023-06-19T14:24:58.705Z"
   },
   {
    "duration": 165,
    "start_time": "2023-06-19T14:24:59.059Z"
   },
   {
    "duration": 191,
    "start_time": "2023-06-19T14:24:59.225Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T14:24:59.418Z"
   },
   {
    "duration": 503,
    "start_time": "2023-06-19T14:24:59.426Z"
   },
   {
    "duration": 204,
    "start_time": "2023-06-19T14:24:59.931Z"
   },
   {
    "duration": 178,
    "start_time": "2023-06-19T14:25:00.137Z"
   },
   {
    "duration": 692,
    "start_time": "2023-06-19T14:25:00.317Z"
   },
   {
    "duration": 147,
    "start_time": "2023-06-19T14:25:01.011Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T14:25:01.160Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-19T14:25:01.167Z"
   },
   {
    "duration": 130,
    "start_time": "2023-06-19T14:25:01.186Z"
   },
   {
    "duration": 146,
    "start_time": "2023-06-19T14:25:01.318Z"
   },
   {
    "duration": 71,
    "start_time": "2023-06-19T14:25:01.466Z"
   },
   {
    "duration": 42133,
    "start_time": "2023-06-19T14:25:01.541Z"
   },
   {
    "duration": 81,
    "start_time": "2023-06-19T14:25:43.677Z"
   },
   {
    "duration": 22314,
    "start_time": "2023-06-19T14:25:43.760Z"
   },
   {
    "duration": 143,
    "start_time": "2023-06-19T14:26:06.075Z"
   },
   {
    "duration": 2991,
    "start_time": "2023-06-19T14:32:15.739Z"
   },
   {
    "duration": 31,
    "start_time": "2023-06-19T14:32:34.051Z"
   },
   {
    "duration": 8895,
    "start_time": "2023-06-19T14:33:15.076Z"
   },
   {
    "duration": 33472,
    "start_time": "2023-06-19T14:33:27.196Z"
   },
   {
    "duration": 13123,
    "start_time": "2023-06-19T14:35:30.754Z"
   },
   {
    "duration": 14676,
    "start_time": "2023-06-19T14:38:56.204Z"
   },
   {
    "duration": 16,
    "start_time": "2023-06-19T14:40:43.052Z"
   },
   {
    "duration": 13449,
    "start_time": "2023-06-19T14:40:48.234Z"
   },
   {
    "duration": 15,
    "start_time": "2023-06-19T14:41:59.292Z"
   },
   {
    "duration": 15,
    "start_time": "2023-06-19T14:42:02.233Z"
   },
   {
    "duration": 4174,
    "start_time": "2023-06-19T14:42:02.420Z"
   },
   {
    "duration": 4579,
    "start_time": "2023-06-19T14:42:29.657Z"
   },
   {
    "duration": 8214,
    "start_time": "2023-06-19T14:42:47.969Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-19T14:42:58.616Z"
   },
   {
    "duration": 2762,
    "start_time": "2023-06-19T14:42:59.295Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T14:43:09.613Z"
   },
   {
    "duration": 15103,
    "start_time": "2023-06-19T14:43:09.976Z"
   },
   {
    "duration": 19736,
    "start_time": "2023-06-19T14:44:39.233Z"
   },
   {
    "duration": 5445,
    "start_time": "2023-06-19T14:45:04.625Z"
   },
   {
    "duration": 7468,
    "start_time": "2023-06-19T14:45:10.073Z"
   },
   {
    "duration": 41,
    "start_time": "2023-06-19T14:45:17.543Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-19T14:45:17.586Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-19T14:45:17.594Z"
   },
   {
    "duration": 31,
    "start_time": "2023-06-19T14:45:17.607Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T14:45:17.640Z"
   },
   {
    "duration": 16,
    "start_time": "2023-06-19T14:45:17.646Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-19T14:45:17.664Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-19T14:45:17.679Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-19T14:45:17.694Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T14:45:17.708Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-19T14:45:17.716Z"
   },
   {
    "duration": 420,
    "start_time": "2023-06-19T14:45:17.725Z"
   },
   {
    "duration": 184,
    "start_time": "2023-06-19T14:45:18.147Z"
   },
   {
    "duration": 212,
    "start_time": "2023-06-19T14:45:18.333Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-19T14:45:18.547Z"
   },
   {
    "duration": 478,
    "start_time": "2023-06-19T14:45:18.559Z"
   },
   {
    "duration": 209,
    "start_time": "2023-06-19T14:45:19.038Z"
   },
   {
    "duration": 170,
    "start_time": "2023-06-19T14:45:19.249Z"
   },
   {
    "duration": 698,
    "start_time": "2023-06-19T14:45:19.421Z"
   },
   {
    "duration": 145,
    "start_time": "2023-06-19T14:45:20.121Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-19T14:45:20.268Z"
   },
   {
    "duration": 20,
    "start_time": "2023-06-19T14:45:20.273Z"
   },
   {
    "duration": 21,
    "start_time": "2023-06-19T14:45:20.295Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-19T14:45:20.318Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T14:45:20.330Z"
   },
   {
    "duration": 41228,
    "start_time": "2023-06-19T14:45:20.337Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-19T14:46:01.567Z"
   },
   {
    "duration": 194,
    "start_time": "2023-06-19T14:46:01.580Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T14:46:01.776Z"
   },
   {
    "duration": 6708,
    "start_time": "2023-06-19T14:46:39.718Z"
   },
   {
    "duration": 5424,
    "start_time": "2023-06-19T14:47:14.147Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-19T14:47:22.888Z"
   },
   {
    "duration": 4230,
    "start_time": "2023-06-19T14:47:23.082Z"
   },
   {
    "duration": 2979,
    "start_time": "2023-06-19T14:47:44.470Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-19T14:47:51.785Z"
   },
   {
    "duration": 2969,
    "start_time": "2023-06-19T14:47:52.240Z"
   },
   {
    "duration": 4683,
    "start_time": "2023-06-19T14:48:06.837Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-19T14:48:15.888Z"
   },
   {
    "duration": 14121,
    "start_time": "2023-06-19T14:48:16.086Z"
   },
   {
    "duration": 18487,
    "start_time": "2023-06-19T14:49:30.489Z"
   },
   {
    "duration": 5155,
    "start_time": "2023-06-19T14:50:13.220Z"
   },
   {
    "duration": 5036,
    "start_time": "2023-06-19T14:50:18.377Z"
   },
   {
    "duration": 38,
    "start_time": "2023-06-19T14:50:23.416Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-19T14:50:23.456Z"
   },
   {
    "duration": 18,
    "start_time": "2023-06-19T14:50:23.462Z"
   },
   {
    "duration": 28,
    "start_time": "2023-06-19T14:50:23.481Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-19T14:50:23.510Z"
   },
   {
    "duration": 21,
    "start_time": "2023-06-19T14:50:23.514Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-19T14:50:23.537Z"
   },
   {
    "duration": 22,
    "start_time": "2023-06-19T14:50:23.556Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-19T14:50:23.580Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-19T14:50:23.587Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-19T14:50:23.600Z"
   },
   {
    "duration": 293,
    "start_time": "2023-06-19T14:50:23.610Z"
   },
   {
    "duration": 215,
    "start_time": "2023-06-19T14:50:23.905Z"
   },
   {
    "duration": 202,
    "start_time": "2023-06-19T14:50:24.122Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-19T14:50:24.326Z"
   },
   {
    "duration": 495,
    "start_time": "2023-06-19T14:50:24.332Z"
   },
   {
    "duration": 202,
    "start_time": "2023-06-19T14:50:24.829Z"
   },
   {
    "duration": 171,
    "start_time": "2023-06-19T14:50:25.032Z"
   },
   {
    "duration": 722,
    "start_time": "2023-06-19T14:50:25.204Z"
   },
   {
    "duration": 30,
    "start_time": "2023-06-19T14:50:25.927Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T14:50:25.959Z"
   },
   {
    "duration": 19,
    "start_time": "2023-06-19T14:50:25.964Z"
   },
   {
    "duration": 25,
    "start_time": "2023-06-19T14:50:25.985Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-19T14:50:26.012Z"
   },
   {
    "duration": 18,
    "start_time": "2023-06-19T14:50:26.026Z"
   },
   {
    "duration": 39235,
    "start_time": "2023-06-19T14:50:26.047Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-19T14:51:05.358Z"
   },
   {
    "duration": 21720,
    "start_time": "2023-06-19T14:51:05.369Z"
   },
   {
    "duration": 15642,
    "start_time": "2023-06-19T14:51:39.437Z"
   },
   {
    "duration": 63650,
    "start_time": "2023-06-19T14:52:28.322Z"
   },
   {
    "duration": 39013,
    "start_time": "2023-06-19T14:53:51.344Z"
   },
   {
    "duration": 2490,
    "start_time": "2023-06-19T14:54:51.287Z"
   },
   {
    "duration": 175297,
    "start_time": "2023-06-19T14:54:58.360Z"
   },
   {
    "duration": 22865,
    "start_time": "2023-06-19T14:59:03.627Z"
   },
   {
    "duration": 13890,
    "start_time": "2023-06-19T14:59:32.502Z"
   },
   {
    "duration": 15955,
    "start_time": "2023-06-19T14:59:52.514Z"
   },
   {
    "duration": 22487,
    "start_time": "2023-06-19T15:00:55.679Z"
   },
   {
    "duration": 17089,
    "start_time": "2023-06-19T15:01:20.119Z"
   },
   {
    "duration": 17622,
    "start_time": "2023-06-19T15:01:44.373Z"
   },
   {
    "duration": 22463,
    "start_time": "2023-06-19T15:02:06.466Z"
   },
   {
    "duration": 10256,
    "start_time": "2023-06-19T15:03:20.719Z"
   },
   {
    "duration": 23104,
    "start_time": "2023-06-19T15:03:40.483Z"
   },
   {
    "duration": 7678,
    "start_time": "2023-06-19T15:04:11.364Z"
   },
   {
    "duration": 6269,
    "start_time": "2023-06-19T15:04:26.790Z"
   },
   {
    "duration": 18906,
    "start_time": "2023-06-19T15:04:36.324Z"
   },
   {
    "duration": 36,
    "start_time": "2023-06-19T15:04:57.968Z"
   },
   {
    "duration": 22288,
    "start_time": "2023-06-19T15:05:04.674Z"
   },
   {
    "duration": 36362,
    "start_time": "2023-06-19T15:06:38.713Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T15:07:15.076Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T15:08:26.408Z"
   },
   {
    "duration": 31447,
    "start_time": "2023-06-19T15:08:27.533Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T15:09:06.562Z"
   },
   {
    "duration": 24558,
    "start_time": "2023-06-19T15:09:06.906Z"
   },
   {
    "duration": 19,
    "start_time": "2023-06-19T15:11:53.089Z"
   },
   {
    "duration": 19808,
    "start_time": "2023-06-19T15:11:58.876Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T15:12:29.032Z"
   },
   {
    "duration": 64776,
    "start_time": "2023-06-19T15:12:31.001Z"
   },
   {
    "duration": 58340,
    "start_time": "2023-06-19T15:13:43.348Z"
   },
   {
    "duration": 2198,
    "start_time": "2023-06-19T15:14:48.481Z"
   },
   {
    "duration": 34031,
    "start_time": "2023-06-19T15:14:58.452Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T15:15:45.097Z"
   },
   {
    "duration": 19229,
    "start_time": "2023-06-19T15:15:47.348Z"
   },
   {
    "duration": 6300,
    "start_time": "2023-06-19T15:16:10.186Z"
   },
   {
    "duration": 16466,
    "start_time": "2023-06-19T15:16:21.611Z"
   },
   {
    "duration": 40223,
    "start_time": "2023-06-19T15:16:40.334Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T15:17:20.560Z"
   },
   {
    "duration": 135348,
    "start_time": "2023-06-19T15:17:20.825Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-19T15:21:00.588Z"
   },
   {
    "duration": 22,
    "start_time": "2023-06-19T15:21:46.722Z"
   },
   {
    "duration": 83,
    "start_time": "2023-06-19T15:21:59.945Z"
   },
   {
    "duration": 41,
    "start_time": "2023-06-19T15:22:16.197Z"
   },
   {
    "duration": 40689,
    "start_time": "2023-06-19T15:22:35.398Z"
   },
   {
    "duration": 7713,
    "start_time": "2023-06-19T15:23:59.576Z"
   },
   {
    "duration": 87,
    "start_time": "2023-06-19T15:24:10.334Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-19T15:24:14.418Z"
   },
   {
    "duration": 64337,
    "start_time": "2023-06-19T15:24:21.444Z"
   },
   {
    "duration": 32082,
    "start_time": "2023-06-19T15:25:30.298Z"
   },
   {
    "duration": 3651,
    "start_time": "2023-06-19T15:26:26.069Z"
   },
   {
    "duration": 3770,
    "start_time": "2023-06-19T15:27:15.297Z"
   },
   {
    "duration": 3692,
    "start_time": "2023-06-19T15:27:32.705Z"
   },
   {
    "duration": 3587,
    "start_time": "2023-06-19T15:27:39.905Z"
   },
   {
    "duration": 24119,
    "start_time": "2023-06-19T15:27:57.788Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T15:29:34.525Z"
   },
   {
    "duration": 26672,
    "start_time": "2023-06-19T15:29:34.685Z"
   },
   {
    "duration": 44928,
    "start_time": "2023-06-19T15:30:06.542Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-19T15:32:32.076Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T15:32:32.222Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T15:32:32.442Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T15:32:35.404Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T15:32:35.684Z"
   },
   {
    "duration": 42132,
    "start_time": "2023-06-19T15:32:35.832Z"
   },
   {
    "duration": 9276,
    "start_time": "2023-06-19T15:33:17.966Z"
   },
   {
    "duration": 22922,
    "start_time": "2023-06-19T15:33:33.370Z"
   },
   {
    "duration": 2711,
    "start_time": "2023-06-19T15:33:59.756Z"
   },
   {
    "duration": 33618,
    "start_time": "2023-06-19T15:34:04.653Z"
   },
   {
    "duration": 18,
    "start_time": "2023-06-19T15:34:47.629Z"
   },
   {
    "duration": 44528,
    "start_time": "2023-06-19T15:34:51.854Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T15:35:36.384Z"
   },
   {
    "duration": 23247,
    "start_time": "2023-06-19T15:35:56.314Z"
   },
   {
    "duration": 60548,
    "start_time": "2023-06-19T15:36:30.329Z"
   },
   {
    "duration": 24573,
    "start_time": "2023-06-19T15:38:11.320Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-19T15:40:30.619Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-19T15:40:34.927Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-19T15:40:40.612Z"
   },
   {
    "duration": 19,
    "start_time": "2023-06-19T15:40:46.688Z"
   },
   {
    "duration": 24673,
    "start_time": "2023-06-19T15:45:34.992Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T15:46:35.009Z"
   },
   {
    "duration": 34,
    "start_time": "2023-06-19T15:46:36.877Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T15:47:11.977Z"
   },
   {
    "duration": 29309,
    "start_time": "2023-06-19T15:47:13.886Z"
   },
   {
    "duration": 82839,
    "start_time": "2023-06-19T15:47:44.236Z"
   },
   {
    "duration": 5115,
    "start_time": "2023-06-19T15:51:03.882Z"
   },
   {
    "duration": 7607,
    "start_time": "2023-06-19T15:51:08.999Z"
   },
   {
    "duration": 42,
    "start_time": "2023-06-19T15:51:16.608Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-19T15:51:16.652Z"
   },
   {
    "duration": 16,
    "start_time": "2023-06-19T15:51:16.658Z"
   },
   {
    "duration": 30,
    "start_time": "2023-06-19T15:51:16.675Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-19T15:51:16.707Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-19T15:51:16.712Z"
   },
   {
    "duration": 34,
    "start_time": "2023-06-19T15:51:16.723Z"
   },
   {
    "duration": 19,
    "start_time": "2023-06-19T15:51:16.760Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T15:51:16.781Z"
   },
   {
    "duration": 18,
    "start_time": "2023-06-19T15:51:16.788Z"
   },
   {
    "duration": 16,
    "start_time": "2023-06-19T15:51:16.808Z"
   },
   {
    "duration": 372,
    "start_time": "2023-06-19T15:51:16.826Z"
   },
   {
    "duration": 187,
    "start_time": "2023-06-19T15:51:17.200Z"
   },
   {
    "duration": 215,
    "start_time": "2023-06-19T15:51:17.388Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-19T15:51:17.605Z"
   },
   {
    "duration": 487,
    "start_time": "2023-06-19T15:51:17.614Z"
   },
   {
    "duration": 171,
    "start_time": "2023-06-19T15:51:18.103Z"
   },
   {
    "duration": 164,
    "start_time": "2023-06-19T15:51:18.275Z"
   },
   {
    "duration": 704,
    "start_time": "2023-06-19T15:51:18.441Z"
   },
   {
    "duration": 137,
    "start_time": "2023-06-19T15:51:19.146Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T15:51:19.285Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-19T15:51:19.290Z"
   },
   {
    "duration": 85,
    "start_time": "2023-06-19T15:51:19.310Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T15:51:19.397Z"
   },
   {
    "duration": 1,
    "start_time": "2023-06-19T15:51:19.398Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T15:51:19.400Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T15:51:19.401Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T15:51:19.403Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T15:51:19.404Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T15:51:19.405Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-19T15:51:36.184Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T15:51:37.494Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-19T15:51:38.033Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-19T15:51:38.285Z"
   },
   {
    "duration": 94067,
    "start_time": "2023-06-19T15:51:38.402Z"
   },
   {
    "duration": 47779,
    "start_time": "2023-06-19T15:53:12.471Z"
   },
   {
    "duration": 64628,
    "start_time": "2023-06-19T15:54:00.251Z"
   },
   {
    "duration": 31509,
    "start_time": "2023-06-19T15:55:04.882Z"
   },
   {
    "duration": 112358,
    "start_time": "2023-06-19T15:55:53.423Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T15:57:53.984Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T15:58:04.254Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-19T15:58:04.507Z"
   },
   {
    "duration": 49869,
    "start_time": "2023-06-19T15:58:11.908Z"
   },
   {
    "duration": 48838,
    "start_time": "2023-06-19T15:59:21.788Z"
   },
   {
    "duration": 40544,
    "start_time": "2023-06-19T16:00:11.716Z"
   },
   {
    "duration": 39095,
    "start_time": "2023-06-19T16:04:54.475Z"
   },
   {
    "duration": 59,
    "start_time": "2023-06-19T16:05:36.731Z"
   },
   {
    "duration": 44,
    "start_time": "2023-06-19T16:05:49.083Z"
   },
   {
    "duration": 5679,
    "start_time": "2023-06-19T16:06:01.207Z"
   },
   {
    "duration": 7518,
    "start_time": "2023-06-19T16:06:06.888Z"
   },
   {
    "duration": 39,
    "start_time": "2023-06-19T16:06:14.409Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T16:06:14.449Z"
   },
   {
    "duration": 16,
    "start_time": "2023-06-19T16:06:14.455Z"
   },
   {
    "duration": 31,
    "start_time": "2023-06-19T16:06:14.473Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-19T16:06:14.507Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-19T16:06:14.512Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-19T16:06:14.522Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-19T16:06:14.536Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-19T16:06:14.558Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-19T16:06:14.565Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T16:06:14.575Z"
   },
   {
    "duration": 388,
    "start_time": "2023-06-19T16:06:14.584Z"
   },
   {
    "duration": 183,
    "start_time": "2023-06-19T16:06:14.974Z"
   },
   {
    "duration": 214,
    "start_time": "2023-06-19T16:06:15.158Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-19T16:06:15.375Z"
   },
   {
    "duration": 559,
    "start_time": "2023-06-19T16:06:15.384Z"
   },
   {
    "duration": 210,
    "start_time": "2023-06-19T16:06:15.945Z"
   },
   {
    "duration": 181,
    "start_time": "2023-06-19T16:06:16.156Z"
   },
   {
    "duration": 715,
    "start_time": "2023-06-19T16:06:16.339Z"
   },
   {
    "duration": 136,
    "start_time": "2023-06-19T16:06:17.057Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-19T16:06:17.195Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-19T16:06:17.200Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-19T16:06:17.213Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-19T16:06:17.223Z"
   },
   {
    "duration": 28,
    "start_time": "2023-06-19T16:06:17.230Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T16:06:17.260Z"
   },
   {
    "duration": 78771,
    "start_time": "2023-06-19T16:06:17.267Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T16:07:36.058Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T16:07:36.059Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T16:07:36.060Z"
   },
   {
    "duration": 14119,
    "start_time": "2023-06-19T16:07:41.461Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T16:07:56.721Z"
   },
   {
    "duration": 7036,
    "start_time": "2023-06-19T16:07:56.953Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T16:08:04.977Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-19T16:08:05.436Z"
   },
   {
    "duration": 112261,
    "start_time": "2023-06-19T16:08:06.020Z"
   },
   {
    "duration": 51398,
    "start_time": "2023-06-19T16:10:32.325Z"
   },
   {
    "duration": 56978,
    "start_time": "2023-06-19T16:12:27.381Z"
   },
   {
    "duration": 58,
    "start_time": "2023-06-19T16:13:57.878Z"
   },
   {
    "duration": 34058,
    "start_time": "2023-06-19T16:14:18.176Z"
   },
   {
    "duration": 1080,
    "start_time": "2023-06-19T16:14:52.236Z"
   },
   {
    "duration": 33566,
    "start_time": "2023-06-19T16:14:54.263Z"
   },
   {
    "duration": 35110,
    "start_time": "2023-06-19T16:15:37.274Z"
   },
   {
    "duration": 8856,
    "start_time": "2023-06-19T19:20:43.192Z"
   },
   {
    "duration": 8561,
    "start_time": "2023-06-19T19:20:52.049Z"
   },
   {
    "duration": 102,
    "start_time": "2023-06-19T19:21:00.611Z"
   },
   {
    "duration": 48,
    "start_time": "2023-06-19T19:21:00.715Z"
   },
   {
    "duration": 714,
    "start_time": "2023-06-19T19:21:00.766Z"
   },
   {
    "duration": 623,
    "start_time": "2023-06-19T19:21:01.481Z"
   },
   {
    "duration": 86,
    "start_time": "2023-06-19T19:21:02.106Z"
   },
   {
    "duration": 54,
    "start_time": "2023-06-19T19:21:02.193Z"
   },
   {
    "duration": 61,
    "start_time": "2023-06-19T19:21:02.249Z"
   },
   {
    "duration": 86,
    "start_time": "2023-06-19T19:21:02.311Z"
   },
   {
    "duration": 40,
    "start_time": "2023-06-19T19:21:02.399Z"
   },
   {
    "duration": 61,
    "start_time": "2023-06-19T19:21:02.440Z"
   },
   {
    "duration": 45,
    "start_time": "2023-06-19T19:21:02.503Z"
   },
   {
    "duration": 390,
    "start_time": "2023-06-19T19:21:02.551Z"
   },
   {
    "duration": 140,
    "start_time": "2023-06-19T19:21:02.943Z"
   },
   {
    "duration": 188,
    "start_time": "2023-06-19T19:21:03.085Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-19T19:21:03.274Z"
   },
   {
    "duration": 461,
    "start_time": "2023-06-19T19:21:03.280Z"
   },
   {
    "duration": 175,
    "start_time": "2023-06-19T19:21:03.742Z"
   },
   {
    "duration": 167,
    "start_time": "2023-06-19T19:21:03.918Z"
   },
   {
    "duration": 619,
    "start_time": "2023-06-19T19:21:04.087Z"
   },
   {
    "duration": 96,
    "start_time": "2023-06-19T19:21:04.708Z"
   },
   {
    "duration": 32,
    "start_time": "2023-06-19T19:21:04.805Z"
   },
   {
    "duration": 19,
    "start_time": "2023-06-19T19:21:04.841Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-19T19:21:04.861Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T19:21:04.871Z"
   },
   {
    "duration": 18,
    "start_time": "2023-06-19T19:21:04.878Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-19T19:21:04.897Z"
   },
   {
    "duration": 150741,
    "start_time": "2023-06-19T19:21:04.907Z"
   },
   {
    "duration": 34231,
    "start_time": "2023-06-19T19:23:35.650Z"
   },
   {
    "duration": 79357,
    "start_time": "2023-06-19T19:24:09.883Z"
   },
   {
    "duration": 23748,
    "start_time": "2023-06-19T19:25:29.244Z"
   },
   {
    "duration": 82391,
    "start_time": "2023-06-19T19:25:55.046Z"
   },
   {
    "duration": 82266,
    "start_time": "2023-06-19T19:34:57.491Z"
   },
   {
    "duration": 24583,
    "start_time": "2023-06-19T19:36:19.823Z"
   },
   {
    "duration": 78284,
    "start_time": "2023-06-19T19:38:03.846Z"
   },
   {
    "duration": 33584,
    "start_time": "2023-06-19T19:39:22.131Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-19T19:41:59.247Z"
   },
   {
    "duration": 6454,
    "start_time": "2023-06-19T19:42:20.608Z"
   },
   {
    "duration": 35609,
    "start_time": "2023-06-19T19:42:28.209Z"
   },
   {
    "duration": 8163,
    "start_time": "2023-06-19T19:44:36.579Z"
   },
   {
    "duration": 36,
    "start_time": "2023-06-19T19:44:56.543Z"
   },
   {
    "duration": 2,
    "start_time": "2023-06-19T19:45:14.795Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-19T19:45:21.994Z"
   },
   {
    "duration": 10051,
    "start_time": "2023-06-19T19:45:26.002Z"
   },
   {
    "duration": 88126,
    "start_time": "2023-06-19T19:45:37.099Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-19T19:47:20.953Z"
   },
   {
    "duration": 10546,
    "start_time": "2023-06-19T19:47:26.311Z"
   },
   {
    "duration": 91968,
    "start_time": "2023-06-19T19:47:37.769Z"
   },
   {
    "duration": 121,
    "start_time": "2023-06-19T20:00:35.183Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T20:00:35.504Z"
   },
   {
    "duration": 15,
    "start_time": "2023-06-19T20:00:40.197Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-19T20:00:55.966Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T20:00:57.247Z"
   },
   {
    "duration": 134957,
    "start_time": "2023-06-19T20:00:57.804Z"
   },
   {
    "duration": 3662,
    "start_time": "2023-06-19T20:03:14.091Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T20:03:19.755Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-19T20:03:20.161Z"
   },
   {
    "duration": 137194,
    "start_time": "2023-06-19T20:03:20.547Z"
   },
   {
    "duration": 2852,
    "start_time": "2023-06-19T20:05:49.009Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T20:05:54.296Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-19T20:05:54.746Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T20:07:53.051Z"
   },
   {
    "duration": 2459,
    "start_time": "2023-06-19T20:07:53.586Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-19T20:08:00.962Z"
   },
   {
    "duration": 39,
    "start_time": "2023-06-19T20:08:00.971Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-19T20:09:38.053Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T20:09:48.687Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-19T20:09:48.694Z"
   },
   {
    "duration": 69947,
    "start_time": "2023-06-19T20:09:48.709Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T20:11:07.479Z"
   },
   {
    "duration": 65,
    "start_time": "2023-06-19T20:11:07.486Z"
   },
   {
    "duration": 79303,
    "start_time": "2023-06-19T20:11:07.552Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T20:12:33.048Z"
   },
   {
    "duration": 25,
    "start_time": "2023-06-19T20:12:33.055Z"
   },
   {
    "duration": 87768,
    "start_time": "2023-06-19T20:12:33.081Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T20:14:26.443Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-19T20:14:26.451Z"
   },
   {
    "duration": 69988,
    "start_time": "2023-06-19T20:14:26.463Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-19T20:15:39.928Z"
   },
   {
    "duration": 35,
    "start_time": "2023-06-19T20:15:39.940Z"
   },
   {
    "duration": 67483,
    "start_time": "2023-06-19T20:15:39.977Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T20:16:54.377Z"
   },
   {
    "duration": 69,
    "start_time": "2023-06-19T20:16:54.384Z"
   },
   {
    "duration": 40196,
    "start_time": "2023-06-19T20:16:54.454Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-19T20:17:37.471Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-19T20:17:37.479Z"
   },
   {
    "duration": 75856,
    "start_time": "2023-06-19T20:17:37.497Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-19T20:21:06.204Z"
   },
   {
    "duration": 25,
    "start_time": "2023-06-19T20:21:06.719Z"
   },
   {
    "duration": 92742,
    "start_time": "2023-06-19T20:21:06.899Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-19T20:23:17.184Z"
   },
   {
    "duration": 24,
    "start_time": "2023-06-19T20:23:17.192Z"
   },
   {
    "duration": 87225,
    "start_time": "2023-06-19T20:23:17.217Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-19T20:24:53.169Z"
   },
   {
    "duration": 32,
    "start_time": "2023-06-19T20:24:53.178Z"
   },
   {
    "duration": 14133,
    "start_time": "2023-06-19T20:24:53.212Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-19T20:25:12.397Z"
   },
   {
    "duration": 36,
    "start_time": "2023-06-19T20:25:12.406Z"
   },
   {
    "duration": 7675,
    "start_time": "2023-06-20T06:08:06.772Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-20T06:08:14.450Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-20T06:08:14.451Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-20T06:08:14.452Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-20T06:08:14.453Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-20T06:08:14.454Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-20T06:08:14.454Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-20T06:08:14.455Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-20T06:08:14.456Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-20T06:08:14.474Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-20T06:08:14.475Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-20T06:08:14.477Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-20T06:08:14.478Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-20T06:08:14.479Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-20T06:08:14.480Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-20T06:08:14.481Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-20T06:08:14.482Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-20T06:08:14.483Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-20T06:08:14.484Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-20T06:08:14.485Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-20T06:08:14.486Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-20T06:08:14.487Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-20T06:08:14.489Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-20T06:08:14.490Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-20T06:08:14.491Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-20T06:08:14.493Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-20T06:08:14.495Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-20T06:08:14.496Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-20T06:08:14.497Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-20T06:08:14.499Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-20T06:08:14.500Z"
   },
   {
    "duration": 16543,
    "start_time": "2023-06-20T06:08:46.071Z"
   },
   {
    "duration": 85,
    "start_time": "2023-06-20T06:09:02.616Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-20T06:09:02.703Z"
   },
   {
    "duration": 26,
    "start_time": "2023-06-20T06:09:02.709Z"
   },
   {
    "duration": 40,
    "start_time": "2023-06-20T06:09:02.736Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-20T06:09:02.777Z"
   },
   {
    "duration": 16,
    "start_time": "2023-06-20T06:09:02.782Z"
   },
   {
    "duration": 23,
    "start_time": "2023-06-20T06:09:02.800Z"
   },
   {
    "duration": 40,
    "start_time": "2023-06-20T06:09:02.824Z"
   },
   {
    "duration": 29,
    "start_time": "2023-06-20T06:09:02.866Z"
   },
   {
    "duration": 25,
    "start_time": "2023-06-20T06:09:02.896Z"
   },
   {
    "duration": 44,
    "start_time": "2023-06-20T06:09:02.923Z"
   },
   {
    "duration": 362,
    "start_time": "2023-06-20T06:09:02.969Z"
   },
   {
    "duration": 157,
    "start_time": "2023-06-20T06:09:03.332Z"
   },
   {
    "duration": 183,
    "start_time": "2023-06-20T06:09:03.491Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-20T06:09:03.675Z"
   },
   {
    "duration": 467,
    "start_time": "2023-06-20T06:09:03.683Z"
   },
   {
    "duration": 177,
    "start_time": "2023-06-20T06:09:04.151Z"
   },
   {
    "duration": 157,
    "start_time": "2023-06-20T06:09:04.330Z"
   },
   {
    "duration": 658,
    "start_time": "2023-06-20T06:09:04.488Z"
   },
   {
    "duration": 201,
    "start_time": "2023-06-20T06:09:05.148Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-20T06:09:05.351Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-20T06:09:05.356Z"
   },
   {
    "duration": 23,
    "start_time": "2023-06-20T06:09:05.371Z"
   },
   {
    "duration": 24,
    "start_time": "2023-06-20T06:09:05.395Z"
   },
   {
    "duration": 66,
    "start_time": "2023-06-20T06:09:05.420Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-20T06:09:05.488Z"
   },
   {
    "duration": 51601,
    "start_time": "2023-06-20T06:09:05.496Z"
   },
   {
    "duration": 43718,
    "start_time": "2023-06-20T06:09:57.099Z"
   },
   {
    "duration": 32062,
    "start_time": "2023-06-20T06:10:40.818Z"
   },
   {
    "duration": 29649,
    "start_time": "2023-06-20T06:11:12.882Z"
   },
   {
    "duration": 30386,
    "start_time": "2023-06-20T06:15:52.356Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-20T06:16:22.745Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-20T06:16:22.746Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-20T06:19:45.044Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-20T06:19:48.401Z"
   },
   {
    "duration": 40759,
    "start_time": "2023-06-20T06:19:49.530Z"
   },
   {
    "duration": 21988,
    "start_time": "2023-06-20T06:20:47.042Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-20T06:21:13.688Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-20T06:21:13.698Z"
   },
   {
    "duration": 1983,
    "start_time": "2023-06-20T06:21:13.707Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-20T06:22:00.544Z"
   },
   {
    "duration": 23597,
    "start_time": "2023-06-20T06:22:06.140Z"
   },
   {
    "duration": 24623,
    "start_time": "2023-06-20T06:23:28.462Z"
   },
   {
    "duration": 84928,
    "start_time": "2023-06-20T06:24:02.757Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-20T06:34:03.400Z"
   },
   {
    "duration": 58,
    "start_time": "2023-06-20T06:34:06.309Z"
   },
   {
    "duration": 24666,
    "start_time": "2023-06-20T06:34:13.958Z"
   },
   {
    "duration": 36642,
    "start_time": "2023-06-20T06:34:43.308Z"
   },
   {
    "duration": 8391,
    "start_time": "2023-06-20T06:35:41.429Z"
   },
   {
    "duration": 36254,
    "start_time": "2023-06-20T06:35:50.873Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-20T06:36:49.475Z"
   },
   {
    "duration": 33,
    "start_time": "2023-06-20T06:36:49.482Z"
   },
   {
    "duration": 19,
    "start_time": "2023-06-20T06:36:49.516Z"
   },
   {
    "duration": 41351,
    "start_time": "2023-06-20T06:36:49.537Z"
   },
   {
    "duration": 23502,
    "start_time": "2023-06-20T06:37:30.891Z"
   },
   {
    "duration": 84692,
    "start_time": "2023-06-20T06:37:54.394Z"
   },
   {
    "duration": 36150,
    "start_time": "2023-06-20T06:39:19.088Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-20T06:49:14.634Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-20T06:49:14.855Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-20T06:49:15.064Z"
   },
   {
    "duration": 2160,
    "start_time": "2023-06-20T06:49:42.345Z"
   },
   {
    "duration": 41205,
    "start_time": "2023-06-20T06:49:53.796Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-20T06:50:55.491Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-20T06:50:58.479Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-20T06:51:04.710Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-20T06:51:07.015Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-20T06:51:14.844Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-20T06:51:31.575Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-20T06:51:36.031Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-20T06:51:39.331Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-20T06:51:42.433Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-20T06:51:47.995Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-20T06:51:52.880Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-20T06:51:55.975Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-20T06:52:06.317Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-20T06:52:09.839Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-20T06:52:11.255Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-20T06:52:14.442Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-20T06:52:22.518Z"
   },
   {
    "duration": 13,
    "start_time": "2023-06-20T06:52:48.617Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-20T06:52:52.300Z"
   },
   {
    "duration": 23,
    "start_time": "2023-06-20T06:53:15.502Z"
   },
   {
    "duration": 15,
    "start_time": "2023-06-20T06:53:21.336Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-20T06:53:25.106Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-20T06:53:28.488Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-20T06:53:40.081Z"
   },
   {
    "duration": 67,
    "start_time": "2023-06-20T06:53:43.402Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-20T06:53:49.303Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-20T06:53:52.160Z"
   },
   {
    "duration": 23,
    "start_time": "2023-06-20T06:55:06.818Z"
   },
   {
    "duration": 25,
    "start_time": "2023-06-20T06:55:25.462Z"
   },
   {
    "duration": 22,
    "start_time": "2023-06-20T06:55:38.928Z"
   },
   {
    "duration": 16,
    "start_time": "2023-06-20T06:56:08.951Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-20T06:56:13.755Z"
   },
   {
    "duration": 16,
    "start_time": "2023-06-20T06:56:25.410Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-20T06:56:28.946Z"
   },
   {
    "duration": 20,
    "start_time": "2023-06-20T06:58:25.893Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-20T06:58:29.065Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-20T06:58:31.800Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-20T06:58:34.903Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-20T06:58:37.478Z"
   },
   {
    "duration": 22,
    "start_time": "2023-06-20T06:58:39.889Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-20T06:58:41.288Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-20T06:58:44.765Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-20T06:58:49.296Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-20T06:58:55.133Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-20T06:59:04.249Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-20T06:59:08.809Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-20T06:59:15.596Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-20T06:59:24.991Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-20T06:59:29.803Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-20T06:59:32.698Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-20T06:59:36.293Z"
   },
   {
    "duration": 11,
    "start_time": "2023-06-20T06:59:43.141Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-20T06:59:45.243Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-20T06:59:59.213Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-20T07:00:02.820Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-20T07:00:08.209Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-20T07:00:13.389Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-20T07:00:33.778Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-20T07:00:44.020Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-20T07:00:50.547Z"
   },
   {
    "duration": 8,
    "start_time": "2023-06-20T07:00:54.102Z"
   },
   {
    "duration": 36,
    "start_time": "2023-06-20T07:01:34.818Z"
   },
   {
    "duration": 24,
    "start_time": "2023-06-20T07:02:04.090Z"
   },
   {
    "duration": 19,
    "start_time": "2023-06-20T07:02:11.323Z"
   },
   {
    "duration": 20,
    "start_time": "2023-06-20T07:02:16.029Z"
   },
   {
    "duration": 120,
    "start_time": "2023-06-20T07:02:31.962Z"
   },
   {
    "duration": 117,
    "start_time": "2023-06-20T07:02:41.068Z"
   },
   {
    "duration": 121,
    "start_time": "2023-06-20T07:03:01.057Z"
   },
   {
    "duration": 119,
    "start_time": "2023-06-20T07:03:37.534Z"
   },
   {
    "duration": 99,
    "start_time": "2023-06-20T07:03:52.542Z"
   },
   {
    "duration": 104,
    "start_time": "2023-06-20T07:04:07.735Z"
   },
   {
    "duration": 111,
    "start_time": "2023-06-20T07:04:20.620Z"
   },
   {
    "duration": 119,
    "start_time": "2023-06-20T07:04:27.929Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-20T07:05:57.714Z"
   },
   {
    "duration": 113,
    "start_time": "2023-06-20T07:06:07.973Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-20T07:06:25.984Z"
   },
   {
    "duration": 115,
    "start_time": "2023-06-20T07:06:26.988Z"
   },
   {
    "duration": 112,
    "start_time": "2023-06-20T07:12:09.763Z"
   },
   {
    "duration": 125,
    "start_time": "2023-06-20T07:12:13.607Z"
   },
   {
    "duration": 125,
    "start_time": "2023-06-20T07:12:30.532Z"
   },
   {
    "duration": 97,
    "start_time": "2023-06-20T07:12:35.108Z"
   },
   {
    "duration": 137,
    "start_time": "2023-06-20T07:12:36.928Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-20T07:13:16.167Z"
   },
   {
    "duration": 131,
    "start_time": "2023-06-20T07:13:17.335Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-20T07:13:23.788Z"
   },
   {
    "duration": 241,
    "start_time": "2023-06-20T07:13:24.544Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-20T07:13:32.493Z"
   },
   {
    "duration": 127,
    "start_time": "2023-06-20T07:13:32.688Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-20T07:13:42.537Z"
   },
   {
    "duration": 137,
    "start_time": "2023-06-20T07:13:43.340Z"
   },
   {
    "duration": 137,
    "start_time": "2023-06-20T07:13:48.044Z"
   },
   {
    "duration": 127,
    "start_time": "2023-06-20T07:13:52.027Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-20T07:14:06.308Z"
   },
   {
    "duration": 133,
    "start_time": "2023-06-20T07:14:06.868Z"
   },
   {
    "duration": 127,
    "start_time": "2023-06-20T07:14:18.664Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-20T07:14:32.892Z"
   },
   {
    "duration": 137,
    "start_time": "2023-06-20T07:14:33.353Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-20T07:14:39.488Z"
   },
   {
    "duration": 129,
    "start_time": "2023-06-20T07:14:39.953Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-20T07:14:46.535Z"
   },
   {
    "duration": 147,
    "start_time": "2023-06-20T07:14:46.700Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-20T07:14:59.099Z"
   },
   {
    "duration": 149,
    "start_time": "2023-06-20T07:14:59.528Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-20T07:15:22.851Z"
   },
   {
    "duration": 143,
    "start_time": "2023-06-20T07:15:23.195Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-20T07:15:27.593Z"
   },
   {
    "duration": 139,
    "start_time": "2023-06-20T07:15:27.851Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-20T07:15:36.594Z"
   },
   {
    "duration": 150,
    "start_time": "2023-06-20T07:15:36.932Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-20T07:15:59.464Z"
   },
   {
    "duration": 146,
    "start_time": "2023-06-20T07:16:00.114Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-20T07:16:17.903Z"
   },
   {
    "duration": 145,
    "start_time": "2023-06-20T07:16:18.744Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-21T07:08:41.098Z"
   },
   {
    "duration": 13741,
    "start_time": "2023-06-21T07:18:20.273Z"
   },
   {
    "duration": 70,
    "start_time": "2023-06-21T07:18:34.016Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-21T07:18:34.087Z"
   },
   {
    "duration": 12,
    "start_time": "2023-06-21T07:18:34.093Z"
   },
   {
    "duration": 25,
    "start_time": "2023-06-21T07:18:34.106Z"
   },
   {
    "duration": 3,
    "start_time": "2023-06-21T07:18:34.132Z"
   },
   {
    "duration": 17,
    "start_time": "2023-06-21T07:18:34.136Z"
   },
   {
    "duration": 14,
    "start_time": "2023-06-21T07:18:34.155Z"
   },
   {
    "duration": 22,
    "start_time": "2023-06-21T07:18:34.171Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-21T07:18:34.197Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-21T07:18:34.208Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-21T07:18:34.216Z"
   },
   {
    "duration": 322,
    "start_time": "2023-06-21T07:18:34.223Z"
   },
   {
    "duration": 152,
    "start_time": "2023-06-21T07:18:34.554Z"
   },
   {
    "duration": 176,
    "start_time": "2023-06-21T07:18:34.708Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-21T07:18:34.886Z"
   },
   {
    "duration": 416,
    "start_time": "2023-06-21T07:18:34.892Z"
   },
   {
    "duration": 166,
    "start_time": "2023-06-21T07:18:35.310Z"
   },
   {
    "duration": 143,
    "start_time": "2023-06-21T07:18:35.477Z"
   },
   {
    "duration": 667,
    "start_time": "2023-06-21T07:18:35.621Z"
   },
   {
    "duration": 119,
    "start_time": "2023-06-21T07:18:36.290Z"
   },
   {
    "duration": 56,
    "start_time": "2023-06-21T07:18:36.411Z"
   },
   {
    "duration": 40,
    "start_time": "2023-06-21T07:18:36.469Z"
   },
   {
    "duration": 48,
    "start_time": "2023-06-21T07:18:36.511Z"
   },
   {
    "duration": 53,
    "start_time": "2023-06-21T07:18:36.560Z"
   },
   {
    "duration": 33,
    "start_time": "2023-06-21T07:18:36.615Z"
   },
   {
    "duration": 45,
    "start_time": "2023-06-21T07:18:36.650Z"
   },
   {
    "duration": 35,
    "start_time": "2023-06-21T07:18:36.698Z"
   },
   {
    "duration": 38639,
    "start_time": "2023-06-21T07:18:36.735Z"
   },
   {
    "duration": 233,
    "start_time": "2023-06-21T07:19:15.454Z"
   },
   {
    "duration": 33019,
    "start_time": "2023-06-21T07:19:15.689Z"
   },
   {
    "duration": 135,
    "start_time": "2023-06-21T07:19:48.710Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-21T07:19:48.846Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-21T07:19:48.848Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-21T07:19:48.848Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-21T07:19:48.854Z"
   },
   {
    "duration": 154,
    "start_time": "2023-06-21T07:19:59.142Z"
   },
   {
    "duration": 80231,
    "start_time": "2023-06-21T07:20:31.824Z"
   },
   {
    "duration": 149,
    "start_time": "2023-06-21T07:21:52.057Z"
   },
   {
    "duration": 33146,
    "start_time": "2023-06-21T07:21:52.208Z"
   },
   {
    "duration": 147,
    "start_time": "2023-06-21T07:22:25.356Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-21T07:32:59.300Z"
   },
   {
    "duration": 150,
    "start_time": "2023-06-21T07:33:03.510Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-21T07:33:24.394Z"
   },
   {
    "duration": 194,
    "start_time": "2023-06-21T07:33:26.451Z"
   },
   {
    "duration": 172,
    "start_time": "2023-06-21T07:33:38.312Z"
   },
   {
    "duration": 170,
    "start_time": "2023-06-21T07:33:43.766Z"
   },
   {
    "duration": 180,
    "start_time": "2023-06-21T07:33:46.474Z"
   },
   {
    "duration": 197,
    "start_time": "2023-06-21T08:12:20.970Z"
   },
   {
    "duration": 7,
    "start_time": "2023-06-21T08:18:09.325Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-21T08:18:12.349Z"
   },
   {
    "duration": 225,
    "start_time": "2023-06-21T08:30:01.744Z"
   },
   {
    "duration": 562,
    "start_time": "2023-06-21T08:30:21.998Z"
   },
   {
    "duration": 437,
    "start_time": "2023-06-21T08:30:49.973Z"
   },
   {
    "duration": 33402,
    "start_time": "2023-06-22T13:30:11.454Z"
   },
   {
    "duration": 186,
    "start_time": "2023-06-22T13:30:44.860Z"
   },
   {
    "duration": 6,
    "start_time": "2023-06-22T13:30:45.048Z"
   },
   {
    "duration": 90,
    "start_time": "2023-06-22T13:30:45.057Z"
   },
   {
    "duration": 58,
    "start_time": "2023-06-22T13:30:45.149Z"
   },
   {
    "duration": 4,
    "start_time": "2023-06-22T13:30:45.210Z"
   },
   {
    "duration": 73,
    "start_time": "2023-06-22T13:30:45.219Z"
   },
   {
    "duration": 49,
    "start_time": "2023-06-22T13:30:45.294Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-22T13:30:45.349Z"
   },
   {
    "duration": 48,
    "start_time": "2023-06-22T13:30:45.363Z"
   },
   {
    "duration": 55,
    "start_time": "2023-06-22T13:30:45.416Z"
   },
   {
    "duration": 35,
    "start_time": "2023-06-22T13:30:45.474Z"
   },
   {
    "duration": 687,
    "start_time": "2023-06-22T13:30:45.516Z"
   },
   {
    "duration": 289,
    "start_time": "2023-06-22T13:30:46.209Z"
   },
   {
    "duration": 250,
    "start_time": "2023-06-22T13:30:46.501Z"
   },
   {
    "duration": 30,
    "start_time": "2023-06-22T13:30:46.754Z"
   },
   {
    "duration": 701,
    "start_time": "2023-06-22T13:30:46.789Z"
   },
   {
    "duration": 254,
    "start_time": "2023-06-22T13:30:47.491Z"
   },
   {
    "duration": 253,
    "start_time": "2023-06-22T13:30:47.748Z"
   },
   {
    "duration": 987,
    "start_time": "2023-06-22T13:30:48.003Z"
   },
   {
    "duration": 360,
    "start_time": "2023-06-22T13:30:49.001Z"
   },
   {
    "duration": 23,
    "start_time": "2023-06-22T13:30:49.364Z"
   },
   {
    "duration": 16,
    "start_time": "2023-06-22T13:30:49.395Z"
   },
   {
    "duration": 23,
    "start_time": "2023-06-22T13:30:49.416Z"
   },
   {
    "duration": 48,
    "start_time": "2023-06-22T13:30:49.441Z"
   },
   {
    "duration": 64,
    "start_time": "2023-06-22T13:30:49.496Z"
   },
   {
    "duration": 18,
    "start_time": "2023-06-22T13:30:49.562Z"
   },
   {
    "duration": 103296,
    "start_time": "2023-06-22T13:30:49.585Z"
   },
   {
    "duration": 216,
    "start_time": "2023-06-22T13:32:32.905Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-22T13:32:33.123Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-22T13:32:33.124Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-22T13:32:33.142Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-22T13:32:33.143Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-22T13:32:33.144Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-22T13:32:33.144Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-22T13:32:33.145Z"
   },
   {
    "duration": 69829,
    "start_time": "2023-06-22T13:32:37.717Z"
   },
   {
    "duration": 0,
    "start_time": "2023-06-22T13:33:47.548Z"
   },
   {
    "duration": 9,
    "start_time": "2023-06-22T13:33:54.338Z"
   },
   {
    "duration": 44,
    "start_time": "2023-06-22T13:33:54.349Z"
   },
   {
    "duration": 26647,
    "start_time": "2023-06-22T13:33:54.398Z"
   },
   {
    "duration": 15,
    "start_time": "2023-06-22T13:34:25.214Z"
   },
   {
    "duration": 46,
    "start_time": "2023-06-22T13:34:25.232Z"
   },
   {
    "duration": 17048,
    "start_time": "2023-06-22T13:34:25.285Z"
   },
   {
    "duration": 10,
    "start_time": "2023-06-22T13:34:48.533Z"
   },
   {
    "duration": 41,
    "start_time": "2023-06-22T13:34:48.546Z"
   },
   {
    "duration": 96023,
    "start_time": "2023-06-22T13:34:48.589Z"
   },
   {
    "duration": 23,
    "start_time": "2023-06-22T13:36:44.127Z"
   },
   {
    "duration": 5,
    "start_time": "2023-06-22T13:36:53.352Z"
   },
   {
    "duration": 310,
    "start_time": "2023-06-22T13:36:55.542Z"
   },
   {
    "duration": 46523,
    "start_time": "2023-06-22T13:38:11.241Z"
   },
   {
    "duration": 282,
    "start_time": "2023-06-22T13:38:57.771Z"
   },
   {
    "duration": 705570,
    "start_time": "2023-06-22T13:45:11.007Z"
   },
   {
    "duration": 378,
    "start_time": "2023-06-22T13:56:56.582Z"
   },
   {
    "duration": 51098,
    "start_time": "2023-06-22T13:56:56.963Z"
   },
   {
    "duration": 364,
    "start_time": "2023-06-22T13:57:48.064Z"
   },
   {
    "duration": 613,
    "start_time": "2023-06-22T14:00:50.421Z"
   },
   {
    "duration": 774,
    "start_time": "2023-06-22T14:01:09.688Z"
   }
  ],
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": false,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}