{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9102df3e",
   "metadata": {
    "id": "o40y8HxDYE3G",
    "papermill": {
     "duration": 0.01071,
     "end_time": "2025-05-13T12:27:29.677822",
     "exception": false,
     "start_time": "2025-05-13T12:27:29.667112",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Обнаружение аномалий во временных рядах с использованием LSTM-автоэнкодеров на PyTorch\n",
    "\n",
    "Лабораторная работа основана на материалах [этого блокнота](https://colab.research.google.com/github/curiousily/Getting-Things-Done-with-Pytorch/blob/master/06.time-series-anomaly-detection-ecg.ipynb)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "66e64f24",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:27:29.697807Z",
     "iopub.status.busy": "2025-05-13T12:27:29.697582Z",
     "iopub.status.idle": "2025-05-13T12:27:31.587040Z",
     "shell.execute_reply": "2025-05-13T12:27:31.586360Z"
    },
    "papermill": {
     "duration": 1.901204,
     "end_time": "2025-05-13T12:27:31.588543",
     "exception": false,
     "start_time": "2025-05-13T12:27:29.687339",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# arff2pandas.py\n",
    "# Функции нужны только для загрузки датасета ECG5000\n",
    "\n",
    "import pandas as pd\n",
    "from pandas import DataFrame\n",
    "from scipy.io import arff\n",
    "import numpy as np\n",
    "\n",
    "\n",
    "def load(arff_file,decode_str=True):\n",
    "    \"\"\"Reads an ARFF file via scipy and returns a pandas DataFrame.\n",
    "    Note: same as scipy.io.arff.load, this function does not support ARFF string types.\n",
    "    \n",
    "    Parameters\n",
    "    ----------\n",
    "    arff_file : str\n",
    "        Path to ARFF file.\n",
    "    decode_str : bool\n",
    "        Wether or not sanitize resulting strings (removes the b'')\n",
    "        \n",
    "    Returns\n",
    "    -------\n",
    "    pandas.DataFrame\n",
    "        Columns are ARFF attributes, rows correspond to instances.\n",
    "    \"\"\"\n",
    "    data, meta = arff.loadarff(arff_file) \n",
    "    df = DataFrame(data,columns = meta.names())\n",
    "    if decode_str:        \n",
    "        df_str = df.select_dtypes(include=['object'])        \n",
    "        if not df_str.empty:\n",
    "            df[df_str.columns] = df_str.applymap(lambda x:x.decode('utf-8'))      \n",
    "    return df\n",
    "\n",
    "\n",
    "def _get_arff_meta_dict(dataframe):\n",
    "    \"\"\"Generates a dictionary with the ARFF metadata from a pandas DataFrame.    \n",
    "    \n",
    "    Parameters\n",
    "    ----------\n",
    "    dataframe : pandas.DataFrame\n",
    "        DataFrame returned by `arff2pandas`.    \n",
    "        \n",
    "    Returns\n",
    "    -------\n",
    "    dict\n",
    "        Keys: `_attributes`: attribute list; `_n`: number of instances. Left keys are the attributes properties.\n",
    "    \"\"\"    \n",
    "    meta = {'_attributes':list(dataframe.columns)}\n",
    "    meta['_n'] = dataframe.shape[0]\n",
    "    for c in dataframe.columns:\n",
    "        meta[c] = {'dtype':str(dataframe[c].dtype)}\n",
    "        if dataframe[c].dtype == 'object':\n",
    "            meta[c]['type'] = 'nominal'\n",
    "            meta[c]['values'] = list(dataframe[c].unique())\n",
    "            meta[c]['min'] = np.NaN\n",
    "            meta[c]['max'] = np.NaN\n",
    "            meta[c]['mean'] = np.NaN\n",
    "            meta[c]['std'] = np.NaN\n",
    "        elif dataframe[c].dtype  == 'float64':            \n",
    "            meta[c]['type'] = 'numeric'\n",
    "            meta[c]['values'] = len(dataframe[c].unique())\n",
    "            meta[c]['min'] = dataframe[c].min()\n",
    "            meta[c]['max'] = dataframe[c].max()\n",
    "            meta[c]['mean'] = dataframe[c].mean()\n",
    "            meta[c]['std'] = dataframe[c].std()\n",
    "        elif str(dataframe[c].dtype).startswith('date'):            \n",
    "            meta[c]['type'] = 'date'\n",
    "            meta[c]['values'] = len(dataframe[c].unique())\n",
    "            meta[c]['min'] = dataframe[c].min()\n",
    "            meta[c]['max'] = dataframe[c].max()\n",
    "            meta[c]['mean'] = np.NaN\n",
    "            meta[c]['std'] = np.NaN\n",
    "    return meta\n",
    "\n",
    "\n",
    "def get_meta(dataframe):\n",
    "    \"\"\"Generates a DataFrame with from the ARFF metadata from a pandas DataFrame.    \n",
    "    \n",
    "    Parameters\n",
    "    ----------\n",
    "    dataframe : pandas.DataFrame\n",
    "        DataFrame returned by `arff2pandas`.    \n",
    "        \n",
    "    Returns\n",
    "    -------\n",
    "    DataFrame\n",
    "        Rows are attributes, columns are properties.\n",
    "    \"\"\"    \n",
    "    meta = _get_arff_meta_dict(dataframe)\n",
    "    meta.pop('_n',None)\n",
    "    attr_order = meta.pop('_attributes',None)\n",
    "    _df = DataFrame.from_dict(meta,orient='index')\n",
    "    _df = _df.reindex(attr_order)\n",
    "    return _df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "84b33b55",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:27:31.608786Z",
     "iopub.status.busy": "2025-05-13T12:27:31.608460Z",
     "iopub.status.idle": "2025-05-13T12:27:36.911513Z",
     "shell.execute_reply": "2025-05-13T12:27:36.910674Z"
    },
    "id": "3RY_N3gOmfDi",
    "outputId": "1203c846-b429-45c1-a0f8-dd85d4be3cf0",
    "papermill": {
     "duration": 5.314831,
     "end_time": "2025-05-13T12:27:36.912985",
     "exception": false,
     "start_time": "2025-05-13T12:27:31.598154",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<torch._C.Generator at 0x79aacfa62d90>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import torch\n",
    "\n",
    "import copy\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from pylab import rcParams\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import rc\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "from torch import nn, optim\n",
    "\n",
    "import torch.nn.functional as F\n",
    "\n",
    "\n",
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format='retina'\n",
    "\n",
    "sns.set(style='whitegrid', palette='muted', font_scale=1.2)\n",
    "\n",
    "HAPPY_COLORS_PALETTE = [\"#01BEFE\", \"#FFDD00\", \"#FF7D00\", \"#FF006D\", \"#ADFF02\", \"#8F00FF\"]\n",
    "\n",
    "sns.set_palette(sns.color_palette(HAPPY_COLORS_PALETTE))\n",
    "\n",
    "rcParams['figure.figsize'] = 12, 8\n",
    "\n",
    "RANDOM_SEED = 42\n",
    "np.random.seed(RANDOM_SEED)\n",
    "torch.manual_seed(RANDOM_SEED)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e621c531",
   "metadata": {
    "id": "RN0e4KktjE88",
    "papermill": {
     "duration": 0.009406,
     "end_time": "2025-05-13T12:27:36.932254",
     "exception": false,
     "start_time": "2025-05-13T12:27:36.922848",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "В этом уроке вы научитесь обнаруживать аномалии во временных рядах с использованием LSTM-автоэнкодеров. В качестве примера используются реальные данные ЭКГ от одного пациента с сердечными заболеваниями для выявления ненормальных сердечных циклов.\n",
    "\n",
    "- [Read the tutorial](https://www.curiousily.com/posts/time-series-anomaly-detection-using-lstm-autoencoder-with-pytorch-in-python/)\n",
    "- [Run the notebook in your browser (Google Colab)](https://colab.research.google.com/drive/1_J2MrBSvsJfOcVmYAN2-WSp36BtsFZCa)\n",
    "- [Read the Getting Things Done with Pytorch book](https://github.com/curiousily/Getting-Things-Done-with-Pytorch)\n",
    "\n",
    "К концу этого урока вы научитесь:\n",
    "\n",
    "- Подготавливать набор данных для обнаружения аномалий во временных рядах\n",
    "- Создавать LSTM-автоэнкодер с помощью PyTorch\n",
    "- Обучать и оценивать вашу модель\n",
    "- Выбирать порог для обнаружения аномалий\n",
    "- Классифицировать новые примеры как нормальные или аномальные"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1697d722",
   "metadata": {
    "id": "ZnW3JsIFW_Yw",
    "papermill": {
     "duration": 0.009083,
     "end_time": "2025-05-13T12:27:36.950357",
     "exception": false,
     "start_time": "2025-05-13T12:27:36.941274",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Данные\n",
    "\n",
    "[Датасет](http://timeseriesclassification.com/description.php?Dataset=ECG5000) содержит 5000 записей временных рядов (полученных с помощью ЭКГ) с 140 временными отсчетами. Каждая последовательность соответствует одному сердечному циклу одного пациента с хронической сердечной недостаточностью.\n",
    "\n",
    "\n",
    "В датасете представлены 5 типов сердцебиений (классов):\n",
    "\n",
    "- Нормальное (Normal - N)\n",
    "- Преждевременное желудочковое сокращение R-на-T (R-on-T Premature Ventricular Contraction - R-on-T PVC)\n",
    "- Преждевременное желудочковое сокращение - (Premature Ventricular Contraction - PVC)\n",
    "- Суправентрикулярное преждевременное или экстопическое сокращение (Supra-ventricular Premature или Ectopic Beat - SP или EB)\n",
    "- Неклассифицированный удар (Unclassified Beat - UB).\n",
    "\n",
    "> Предполагая, что сердце здорово и типичный ритм составляет 70–75 ударов в минуту, каждый сердечный цикл занимает около 0,8 секунды; при частоте 60–100 ударов в минуту - 0,6–1 секунду [Source](https://en.wikipedia.org/wiki/Cardiac_cycle)\n",
    "\n",
    "Датасет доступен на Google Drive. Загрузим данные:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "620e15c5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:27:36.969930Z",
     "iopub.status.busy": "2025-05-13T12:27:36.969301Z",
     "iopub.status.idle": "2025-05-13T12:27:45.561149Z",
     "shell.execute_reply": "2025-05-13T12:27:45.560119Z"
    },
    "id": "dDlfeY2VAYdU",
    "outputId": "79770705-3254-4750-cd73-45e40162599c",
    "papermill": {
     "duration": 8.603467,
     "end_time": "2025-05-13T12:27:45.562880",
     "exception": false,
     "start_time": "2025-05-13T12:27:36.959413",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.11/dist-packages/gdown/__main__.py:140: FutureWarning: Option `--id` was deprecated in version 4.3.1 and will be removed in 5.0. You don't need to pass it anymore to use a file ID.\r\n",
      "  warnings.warn(\r\n",
      "Downloading...\r\n",
      "From: https://drive.google.com/uc?id=16MIleqoIr1vYxlGk4GKnGmrsCPuWkkpT\r\n",
      "To: /kaggle/working/ECG5000.zip\r\n",
      "100%|███████████████████████████████████████| 10.6M/10.6M [00:00<00:00, 258MB/s]\r\n"
     ]
    }
   ],
   "source": [
    "!gdown --id 16MIleqoIr1vYxlGk4GKnGmrsCPuWkkpT"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e38a3ff9",
   "metadata": {
    "papermill": {
     "duration": 0.009205,
     "end_time": "2025-05-13T12:27:45.582055",
     "exception": false,
     "start_time": "2025-05-13T12:27:45.572850",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Распакуем архив:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a972331e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:27:45.601700Z",
     "iopub.status.busy": "2025-05-13T12:27:45.601364Z",
     "iopub.status.idle": "2025-05-13T12:27:45.974766Z",
     "shell.execute_reply": "2025-05-13T12:27:45.973701Z"
    },
    "id": "L_gYlNi2AaOK",
    "papermill": {
     "duration": 0.38493,
     "end_time": "2025-05-13T12:27:45.976272",
     "exception": false,
     "start_time": "2025-05-13T12:27:45.591342",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "!unzip -qq ECG5000.zip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ed3afb7f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:27:45.996841Z",
     "iopub.status.busy": "2025-05-13T12:27:45.996585Z",
     "iopub.status.idle": "2025-05-13T12:27:46.059321Z",
     "shell.execute_reply": "2025-05-13T12:27:46.058725Z"
    },
    "id": "DFWsBcdWjDkU",
    "papermill": {
     "duration": 0.074337,
     "end_time": "2025-05-13T12:27:46.060581",
     "exception": false,
     "start_time": "2025-05-13T12:27:45.986244",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e73d312",
   "metadata": {
    "id": "iVrX_m4CBAD6",
    "papermill": {
     "duration": 0.009066,
     "end_time": "2025-05-13T12:27:46.079265",
     "exception": false,
     "start_time": "2025-05-13T12:27:46.070199",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Из-за особенностей датасета необходимо выполнить переконвертацию данных. В итоге получим датафреймы Pandas:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7490b958",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:27:46.098396Z",
     "iopub.status.busy": "2025-05-13T12:27:46.098190Z",
     "iopub.status.idle": "2025-05-13T12:27:46.482348Z",
     "shell.execute_reply": "2025-05-13T12:27:46.481252Z"
    },
    "id": "sh_8XjtEBVYq",
    "outputId": "8b4a8e7c-4173-4981-c71d-20674abcd64f",
    "papermill": {
     "duration": 0.395017,
     "end_time": "2025-05-13T12:27:46.483488",
     "exception": false,
     "start_time": "2025-05-13T12:27:46.088471",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_19/2034951465.py:31: FutureWarning: DataFrame.applymap has been deprecated. Use DataFrame.map instead.\n",
      "  df[df_str.columns] = df_str.applymap(lambda x:x.decode('utf-8'))\n",
      "/tmp/ipykernel_19/2034951465.py:31: FutureWarning: DataFrame.applymap has been deprecated. Use DataFrame.map instead.\n",
      "  df[df_str.columns] = df_str.applymap(lambda x:x.decode('utf-8'))\n"
     ]
    }
   ],
   "source": [
    "with open('ECG5000_TRAIN.arff') as f:\n",
    "  train = load(f)\n",
    "\n",
    "with open('ECG5000_TEST.arff') as f:\n",
    "  test = load(f)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5365684a",
   "metadata": {
    "id": "UDtaZ2uTCG11",
    "papermill": {
     "duration": 0.009309,
     "end_time": "2025-05-13T12:27:46.502713",
     "exception": false,
     "start_time": "2025-05-13T12:27:46.493404",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Объединим обучающие и тестовые данные в один датафрейм. Это даст нам больше данных для обучения автокодировщика. Также перемешаем данные:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ebbcf3f7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:27:46.522500Z",
     "iopub.status.busy": "2025-05-13T12:27:46.522196Z",
     "iopub.status.idle": "2025-05-13T12:27:46.527149Z",
     "shell.execute_reply": "2025-05-13T12:27:46.526568Z"
    },
    "id": "psTGzvkSetym",
    "outputId": "58a6bdda-8a48-4467-a258-a9f26fff9a89",
    "papermill": {
     "duration": 0.015992,
     "end_time": "2025-05-13T12:27:46.528184",
     "exception": false,
     "start_time": "2025-05-13T12:27:46.512192",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(500, 141)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b4109f5a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:27:46.548054Z",
     "iopub.status.busy": "2025-05-13T12:27:46.547822Z",
     "iopub.status.idle": "2025-05-13T12:27:46.552261Z",
     "shell.execute_reply": "2025-05-13T12:27:46.551681Z"
    },
    "id": "Q-KTRwYVev9_",
    "outputId": "4cdf5d51-273f-47b9-ab50-e003f2b6a354",
    "papermill": {
     "duration": 0.015772,
     "end_time": "2025-05-13T12:27:46.553397",
     "exception": false,
     "start_time": "2025-05-13T12:27:46.537625",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4500, 141)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "cd8b25e2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:27:46.618284Z",
     "iopub.status.busy": "2025-05-13T12:27:46.618038Z",
     "iopub.status.idle": "2025-05-13T12:27:46.626583Z",
     "shell.execute_reply": "2025-05-13T12:27:46.625798Z"
    },
    "id": "FBeI88Pye9_k",
    "outputId": "5c627fc1-5698-4212-f88d-0a66c6097d4a",
    "papermill": {
     "duration": 0.021127,
     "end_time": "2025-05-13T12:27:46.627805",
     "exception": false,
     "start_time": "2025-05-13T12:27:46.606678",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5000, 141)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.concat([train, test])\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "43963155",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:27:46.648305Z",
     "iopub.status.busy": "2025-05-13T12:27:46.648101Z",
     "iopub.status.idle": "2025-05-13T12:27:46.677778Z",
     "shell.execute_reply": "2025-05-13T12:27:46.677166Z"
    },
    "id": "KpkkVdrLCSAs",
    "outputId": "1c20bb7c-8265-4bf2-c26f-df7226673f01",
    "papermill": {
     "duration": 0.041144,
     "end_time": "2025-05-13T12:27:46.678931",
     "exception": false,
     "start_time": "2025-05-13T12:27:46.637787",
     "status": "completed"
    },
    "tags": []
   },
   "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>att1</th>\n",
       "      <th>att2</th>\n",
       "      <th>att3</th>\n",
       "      <th>att4</th>\n",
       "      <th>att5</th>\n",
       "      <th>att6</th>\n",
       "      <th>att7</th>\n",
       "      <th>att8</th>\n",
       "      <th>att9</th>\n",
       "      <th>att10</th>\n",
       "      <th>...</th>\n",
       "      <th>att132</th>\n",
       "      <th>att133</th>\n",
       "      <th>att134</th>\n",
       "      <th>att135</th>\n",
       "      <th>att136</th>\n",
       "      <th>att137</th>\n",
       "      <th>att138</th>\n",
       "      <th>att139</th>\n",
       "      <th>att140</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.112522</td>\n",
       "      <td>-2.827204</td>\n",
       "      <td>-3.773897</td>\n",
       "      <td>-4.349751</td>\n",
       "      <td>-4.376041</td>\n",
       "      <td>-3.474986</td>\n",
       "      <td>-2.181408</td>\n",
       "      <td>-1.818286</td>\n",
       "      <td>-1.250522</td>\n",
       "      <td>-0.477492</td>\n",
       "      <td>...</td>\n",
       "      <td>0.792168</td>\n",
       "      <td>0.933541</td>\n",
       "      <td>0.796958</td>\n",
       "      <td>0.578621</td>\n",
       "      <td>0.257740</td>\n",
       "      <td>0.228077</td>\n",
       "      <td>0.123431</td>\n",
       "      <td>0.925286</td>\n",
       "      <td>0.193137</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-1.100878</td>\n",
       "      <td>-3.996840</td>\n",
       "      <td>-4.285843</td>\n",
       "      <td>-4.506579</td>\n",
       "      <td>-4.022377</td>\n",
       "      <td>-3.234368</td>\n",
       "      <td>-1.566126</td>\n",
       "      <td>-0.992258</td>\n",
       "      <td>-0.754680</td>\n",
       "      <td>0.042321</td>\n",
       "      <td>...</td>\n",
       "      <td>0.538356</td>\n",
       "      <td>0.656881</td>\n",
       "      <td>0.787490</td>\n",
       "      <td>0.724046</td>\n",
       "      <td>0.555784</td>\n",
       "      <td>0.476333</td>\n",
       "      <td>0.773820</td>\n",
       "      <td>1.119621</td>\n",
       "      <td>-1.436250</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.567088</td>\n",
       "      <td>-2.593450</td>\n",
       "      <td>-3.874230</td>\n",
       "      <td>-4.584095</td>\n",
       "      <td>-4.187449</td>\n",
       "      <td>-3.151462</td>\n",
       "      <td>-1.742940</td>\n",
       "      <td>-1.490659</td>\n",
       "      <td>-1.183580</td>\n",
       "      <td>-0.394229</td>\n",
       "      <td>...</td>\n",
       "      <td>0.886073</td>\n",
       "      <td>0.531452</td>\n",
       "      <td>0.311377</td>\n",
       "      <td>-0.021919</td>\n",
       "      <td>-0.713683</td>\n",
       "      <td>-0.532197</td>\n",
       "      <td>0.321097</td>\n",
       "      <td>0.904227</td>\n",
       "      <td>-0.421797</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.490473</td>\n",
       "      <td>-1.914407</td>\n",
       "      <td>-3.616364</td>\n",
       "      <td>-4.318823</td>\n",
       "      <td>-4.268016</td>\n",
       "      <td>-3.881110</td>\n",
       "      <td>-2.993280</td>\n",
       "      <td>-1.671131</td>\n",
       "      <td>-1.333884</td>\n",
       "      <td>-0.965629</td>\n",
       "      <td>...</td>\n",
       "      <td>0.350816</td>\n",
       "      <td>0.499111</td>\n",
       "      <td>0.600345</td>\n",
       "      <td>0.842069</td>\n",
       "      <td>0.952074</td>\n",
       "      <td>0.990133</td>\n",
       "      <td>1.086798</td>\n",
       "      <td>1.403011</td>\n",
       "      <td>-0.383564</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.800232</td>\n",
       "      <td>-0.874252</td>\n",
       "      <td>-2.384761</td>\n",
       "      <td>-3.973292</td>\n",
       "      <td>-4.338224</td>\n",
       "      <td>-3.802422</td>\n",
       "      <td>-2.534510</td>\n",
       "      <td>-1.783423</td>\n",
       "      <td>-1.594450</td>\n",
       "      <td>-0.753199</td>\n",
       "      <td>...</td>\n",
       "      <td>1.148884</td>\n",
       "      <td>0.958434</td>\n",
       "      <td>1.059025</td>\n",
       "      <td>1.371682</td>\n",
       "      <td>1.277392</td>\n",
       "      <td>0.960304</td>\n",
       "      <td>0.971020</td>\n",
       "      <td>1.614392</td>\n",
       "      <td>1.421456</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 141 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       att1      att2      att3      att4      att5      att6      att7  \\\n",
       "0 -0.112522 -2.827204 -3.773897 -4.349751 -4.376041 -3.474986 -2.181408   \n",
       "1 -1.100878 -3.996840 -4.285843 -4.506579 -4.022377 -3.234368 -1.566126   \n",
       "2 -0.567088 -2.593450 -3.874230 -4.584095 -4.187449 -3.151462 -1.742940   \n",
       "3  0.490473 -1.914407 -3.616364 -4.318823 -4.268016 -3.881110 -2.993280   \n",
       "4  0.800232 -0.874252 -2.384761 -3.973292 -4.338224 -3.802422 -2.534510   \n",
       "\n",
       "       att8      att9     att10  ...    att132    att133    att134    att135  \\\n",
       "0 -1.818286 -1.250522 -0.477492  ...  0.792168  0.933541  0.796958  0.578621   \n",
       "1 -0.992258 -0.754680  0.042321  ...  0.538356  0.656881  0.787490  0.724046   \n",
       "2 -1.490659 -1.183580 -0.394229  ...  0.886073  0.531452  0.311377 -0.021919   \n",
       "3 -1.671131 -1.333884 -0.965629  ...  0.350816  0.499111  0.600345  0.842069   \n",
       "4 -1.783423 -1.594450 -0.753199  ...  1.148884  0.958434  1.059025  1.371682   \n",
       "\n",
       "     att136    att137    att138    att139    att140  target  \n",
       "0  0.257740  0.228077  0.123431  0.925286  0.193137       1  \n",
       "1  0.555784  0.476333  0.773820  1.119621 -1.436250       1  \n",
       "2 -0.713683 -0.532197  0.321097  0.904227 -0.421797       1  \n",
       "3  0.952074  0.990133  1.086798  1.403011 -0.383564       1  \n",
       "4  1.277392  0.960304  0.971020  1.614392  1.421456       1  \n",
       "\n",
       "[5 rows x 141 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f93db0a4",
   "metadata": {
    "id": "K_f7F-ipCZNH",
    "papermill": {
     "duration": 0.009983,
     "end_time": "2025-05-13T12:27:46.699544",
     "exception": false,
     "start_time": "2025-05-13T12:27:46.689561",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Имеется 5000 примеров. Каждая строка представляет собой одну запись сердечного цикла. Создадим названия для возможных классов:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b0cabe63",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:27:46.721092Z",
     "iopub.status.busy": "2025-05-13T12:27:46.720915Z",
     "iopub.status.idle": "2025-05-13T12:27:46.724326Z",
     "shell.execute_reply": "2025-05-13T12:27:46.723805Z"
    },
    "id": "9fcKHB5rcDcm",
    "papermill": {
     "duration": 0.014856,
     "end_time": "2025-05-13T12:27:46.725272",
     "exception": false,
     "start_time": "2025-05-13T12:27:46.710416",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "CLASS_NORMAL = 1\n",
    "\n",
    "class_names = ['Normal','R on T','PVC','SP','UB']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1964e2bd",
   "metadata": {
    "id": "TFWOyTF3CpgT",
    "papermill": {
     "duration": 0.009486,
     "end_time": "2025-05-13T12:27:46.744755",
     "exception": false,
     "start_time": "2025-05-13T12:27:46.735269",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Затем переименуем последний столбец в `target`, чтобы было проще к нему обращаться:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "fa88a8d0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:27:46.765364Z",
     "iopub.status.busy": "2025-05-13T12:27:46.765183Z",
     "iopub.status.idle": "2025-05-13T12:27:46.768511Z",
     "shell.execute_reply": "2025-05-13T12:27:46.767995Z"
    },
    "id": "6bfjzgJ7YEww",
    "papermill": {
     "duration": 0.014876,
     "end_time": "2025-05-13T12:27:46.769616",
     "exception": false,
     "start_time": "2025-05-13T12:27:46.754740",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "new_columns = list(df.columns)\n",
    "new_columns[-1] = 'target'\n",
    "df.columns = new_columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f976c125",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:27:46.790007Z",
     "iopub.status.busy": "2025-05-13T12:27:46.789812Z",
     "iopub.status.idle": "2025-05-13T12:27:46.805134Z",
     "shell.execute_reply": "2025-05-13T12:27:46.804477Z"
    },
    "id": "mXa2FLP4fYs1",
    "outputId": "927912e9-ab7b-4494-87df-936d6ceb6042",
    "papermill": {
     "duration": 0.026953,
     "end_time": "2025-05-13T12:27:46.806288",
     "exception": false,
     "start_time": "2025-05-13T12:27:46.779335",
     "status": "completed"
    },
    "tags": []
   },
   "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>att1</th>\n",
       "      <th>att2</th>\n",
       "      <th>att3</th>\n",
       "      <th>att4</th>\n",
       "      <th>att5</th>\n",
       "      <th>att6</th>\n",
       "      <th>att7</th>\n",
       "      <th>att8</th>\n",
       "      <th>att9</th>\n",
       "      <th>att10</th>\n",
       "      <th>...</th>\n",
       "      <th>att132</th>\n",
       "      <th>att133</th>\n",
       "      <th>att134</th>\n",
       "      <th>att135</th>\n",
       "      <th>att136</th>\n",
       "      <th>att137</th>\n",
       "      <th>att138</th>\n",
       "      <th>att139</th>\n",
       "      <th>att140</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.112522</td>\n",
       "      <td>-2.827204</td>\n",
       "      <td>-3.773897</td>\n",
       "      <td>-4.349751</td>\n",
       "      <td>-4.376041</td>\n",
       "      <td>-3.474986</td>\n",
       "      <td>-2.181408</td>\n",
       "      <td>-1.818286</td>\n",
       "      <td>-1.250522</td>\n",
       "      <td>-0.477492</td>\n",
       "      <td>...</td>\n",
       "      <td>0.792168</td>\n",
       "      <td>0.933541</td>\n",
       "      <td>0.796958</td>\n",
       "      <td>0.578621</td>\n",
       "      <td>0.257740</td>\n",
       "      <td>0.228077</td>\n",
       "      <td>0.123431</td>\n",
       "      <td>0.925286</td>\n",
       "      <td>0.193137</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-1.100878</td>\n",
       "      <td>-3.996840</td>\n",
       "      <td>-4.285843</td>\n",
       "      <td>-4.506579</td>\n",
       "      <td>-4.022377</td>\n",
       "      <td>-3.234368</td>\n",
       "      <td>-1.566126</td>\n",
       "      <td>-0.992258</td>\n",
       "      <td>-0.754680</td>\n",
       "      <td>0.042321</td>\n",
       "      <td>...</td>\n",
       "      <td>0.538356</td>\n",
       "      <td>0.656881</td>\n",
       "      <td>0.787490</td>\n",
       "      <td>0.724046</td>\n",
       "      <td>0.555784</td>\n",
       "      <td>0.476333</td>\n",
       "      <td>0.773820</td>\n",
       "      <td>1.119621</td>\n",
       "      <td>-1.436250</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.567088</td>\n",
       "      <td>-2.593450</td>\n",
       "      <td>-3.874230</td>\n",
       "      <td>-4.584095</td>\n",
       "      <td>-4.187449</td>\n",
       "      <td>-3.151462</td>\n",
       "      <td>-1.742940</td>\n",
       "      <td>-1.490659</td>\n",
       "      <td>-1.183580</td>\n",
       "      <td>-0.394229</td>\n",
       "      <td>...</td>\n",
       "      <td>0.886073</td>\n",
       "      <td>0.531452</td>\n",
       "      <td>0.311377</td>\n",
       "      <td>-0.021919</td>\n",
       "      <td>-0.713683</td>\n",
       "      <td>-0.532197</td>\n",
       "      <td>0.321097</td>\n",
       "      <td>0.904227</td>\n",
       "      <td>-0.421797</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.490473</td>\n",
       "      <td>-1.914407</td>\n",
       "      <td>-3.616364</td>\n",
       "      <td>-4.318823</td>\n",
       "      <td>-4.268016</td>\n",
       "      <td>-3.881110</td>\n",
       "      <td>-2.993280</td>\n",
       "      <td>-1.671131</td>\n",
       "      <td>-1.333884</td>\n",
       "      <td>-0.965629</td>\n",
       "      <td>...</td>\n",
       "      <td>0.350816</td>\n",
       "      <td>0.499111</td>\n",
       "      <td>0.600345</td>\n",
       "      <td>0.842069</td>\n",
       "      <td>0.952074</td>\n",
       "      <td>0.990133</td>\n",
       "      <td>1.086798</td>\n",
       "      <td>1.403011</td>\n",
       "      <td>-0.383564</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.800232</td>\n",
       "      <td>-0.874252</td>\n",
       "      <td>-2.384761</td>\n",
       "      <td>-3.973292</td>\n",
       "      <td>-4.338224</td>\n",
       "      <td>-3.802422</td>\n",
       "      <td>-2.534510</td>\n",
       "      <td>-1.783423</td>\n",
       "      <td>-1.594450</td>\n",
       "      <td>-0.753199</td>\n",
       "      <td>...</td>\n",
       "      <td>1.148884</td>\n",
       "      <td>0.958434</td>\n",
       "      <td>1.059025</td>\n",
       "      <td>1.371682</td>\n",
       "      <td>1.277392</td>\n",
       "      <td>0.960304</td>\n",
       "      <td>0.971020</td>\n",
       "      <td>1.614392</td>\n",
       "      <td>1.421456</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 141 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       att1      att2      att3      att4      att5      att6      att7  \\\n",
       "0 -0.112522 -2.827204 -3.773897 -4.349751 -4.376041 -3.474986 -2.181408   \n",
       "1 -1.100878 -3.996840 -4.285843 -4.506579 -4.022377 -3.234368 -1.566126   \n",
       "2 -0.567088 -2.593450 -3.874230 -4.584095 -4.187449 -3.151462 -1.742940   \n",
       "3  0.490473 -1.914407 -3.616364 -4.318823 -4.268016 -3.881110 -2.993280   \n",
       "4  0.800232 -0.874252 -2.384761 -3.973292 -4.338224 -3.802422 -2.534510   \n",
       "\n",
       "       att8      att9     att10  ...    att132    att133    att134    att135  \\\n",
       "0 -1.818286 -1.250522 -0.477492  ...  0.792168  0.933541  0.796958  0.578621   \n",
       "1 -0.992258 -0.754680  0.042321  ...  0.538356  0.656881  0.787490  0.724046   \n",
       "2 -1.490659 -1.183580 -0.394229  ...  0.886073  0.531452  0.311377 -0.021919   \n",
       "3 -1.671131 -1.333884 -0.965629  ...  0.350816  0.499111  0.600345  0.842069   \n",
       "4 -1.783423 -1.594450 -0.753199  ...  1.148884  0.958434  1.059025  1.371682   \n",
       "\n",
       "     att136    att137    att138    att139    att140  target  \n",
       "0  0.257740  0.228077  0.123431  0.925286  0.193137       1  \n",
       "1  0.555784  0.476333  0.773820  1.119621 -1.436250       1  \n",
       "2 -0.713683 -0.532197  0.321097  0.904227 -0.421797       1  \n",
       "3  0.952074  0.990133  1.086798  1.403011 -0.383564       1  \n",
       "4  1.277392  0.960304  0.971020  1.614392  1.421456       1  \n",
       "\n",
       "[5 rows x 141 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84f07a7b",
   "metadata": {
    "id": "nlf5aVLnjRCz",
    "papermill": {
     "duration": 0.010353,
     "end_time": "2025-05-13T12:27:46.827306",
     "exception": false,
     "start_time": "2025-05-13T12:27:46.816953",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Исследовательский анализ данных (Exploratory Data Analysis)\n",
    "\n",
    "Давайте проверим, сколько примеров для каждого класса сердцебиения у нас есть:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "069b73e7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:27:46.848891Z",
     "iopub.status.busy": "2025-05-13T12:27:46.848687Z",
     "iopub.status.idle": "2025-05-13T12:27:46.856904Z",
     "shell.execute_reply": "2025-05-13T12:27:46.856114Z"
    },
    "id": "QBxuqD1cdd2y",
    "outputId": "7362f515-acd7-40e9-f4ec-46c11d105100",
    "papermill": {
     "duration": 0.02022,
     "end_time": "2025-05-13T12:27:46.857993",
     "exception": false,
     "start_time": "2025-05-13T12:27:46.837773",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "target\n",
       "1    2919\n",
       "2    1767\n",
       "4     194\n",
       "3      96\n",
       "5      24\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.target.value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b9f05044",
   "metadata": {
    "id": "2EZVZYCsQKXV",
    "papermill": {
     "duration": 0.01017,
     "end_time": "2025-05-13T12:27:46.879478",
     "exception": false,
     "start_time": "2025-05-13T12:27:46.869308",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Построим график результатов:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "926f1cef",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:27:46.900634Z",
     "iopub.status.busy": "2025-05-13T12:27:46.900418Z",
     "iopub.status.idle": "2025-05-13T12:27:46.904711Z",
     "shell.execute_reply": "2025-05-13T12:27:46.904029Z"
    },
    "papermill": {
     "duration": 0.015941,
     "end_time": "2025-05-13T12:27:46.905773",
     "exception": false,
     "start_time": "2025-05-13T12:27:46.889832",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Normal', 'R on T', 'PVC', 'SP', 'UB']"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "class_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "bc061840",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:27:46.927245Z",
     "iopub.status.busy": "2025-05-13T12:27:46.927046Z",
     "iopub.status.idle": "2025-05-13T12:27:47.303272Z",
     "shell.execute_reply": "2025-05-13T12:27:47.302540Z"
    },
    "id": "wn4s427Sf4eb",
    "outputId": "114f54dd-04db-48a9-be53-27e056c438de",
    "papermill": {
     "duration": 0.388285,
     "end_time": "2025-05-13T12:27:47.304549",
     "exception": false,
     "start_time": "2025-05-13T12:27:46.916264",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAACBYAAAVqCAYAAABQr29jAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuNSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/xnp5ZAAAACXBIWXMAAB7CAAAewgFu0HU+AADD9klEQVR4nOzde5iWdbkv8HtmmAGGGRBQRkEERUEqCRAzMrWUzGxdmJIdXOE28YQalitPS1dqZR7TpdYWY7Uqs2U7D3lIt6bYwhBWMYGGGYNAIMdBQcBhYIaZefcfXrybGeY3B5jhRf18/np+z3s/93O/4MXV1fN9f09eJpPJBAAAAAAAAABAM/JzPQAAAAAAAAAAsPcSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABI6pLrAWBPq62tjQ0bNmTXXbt2jYKCgtwNBAAAAAAAANBB6uvro6amJrveZ599oqioaLd6ChbwgbNhw4ZYvnx5rscAAAAAAAAA2CP69eu3W9d7FQIAAAAAAAAAkCRYAAAAAAAAAAAkeRUCHzhdu3ZttB44cGAUFxfnaBoAAAAAAACAjlNdXd3o1fBNn4/uCsECPnAKCgoarYuLi6OkpCRH0wAAAAAAAAB0nqbPR3eFVyEAAAAAAAAAAEmCBQAAAAAAAABAkmABAAAAAAAAAJAkWAAAAAAAAAAAJAkWAAAAAAAAAABJggUAAAAAAAAAQJJgAQAAAAAAAACQJFgAAAAAAAAAACR1yfUA71UbN26M119/PVatWhXr16+P6urqKCoqil69esWQIUNi+PDh0b179926x8KFC6OioiIqKyujqKgoysrKYtSoUdGvX7/dnn/t2rUxb968qKysjNra2igrK4vDDz88DjvssN3uXV1dHXPmzInVq1fHpk2bYt99942DDjooRo8eHfn5siwAAAAAAAAA7yWCBe0wf/78+MUvfhFz586NlStXtljbrVu3OOmkk+LCCy+MIUOGtOs+zz//fNxzzz2xYMGCnT4rKCiIsWPHxlVXXbVLIYDXX389br755pg9e3bU19fv9Pnhhx8e3/jGN2LcuHHt7r1x48a47bbb4qmnnorq6uqdPu/Xr19MnDgxJk2aFAUFBe3uDwAAAAAAAMCel5fJZDK5HuK94uc//3ncdNNN7bqmsLAwLr/88vhf/+t/tan+u9/9bvzqV79qta5r167x3e9+N77whS+0eZbHHnssvvOd70RNTU2rtV/72tfi3/7t39rc+7XXXovJkyfHmjVrWq0dPXp03HfffdGzZ8829+9IVVVVUVFRkV0PGzYsSkpKcjILAAAAAAAAQEfqjOehdizYRQMGDIgRI0bEwQcfHPvuu28UFxfH5s2b4x//+Ef893//d6xYsSIiIrZt2xY/+MEPorCwMM4888wWe95zzz2NQgXFxcUxfvz4GDZsWNTU1ER5eXm88MIL0dDQEDU1NXHNNddEWVlZjB07ttV5Z82aFddcc03U1dVFRER+fn6MGzcujjzyyCgsLIyKiop48sknszsNPPDAA9G7d++45JJLWu1dWVkZF1xwQaxduzZ7bsSIETFu3Ljo3bt3rFixIp544olYvXp1RETMnTs3Lr300pg2bVp06eI/QQAAAAAAAIC9mR0L2uHFF1+MZcuWxQknnBADBgxI1mUymfjVr34VP/jBD7KvGyguLo5nn302+vXr1+w1r7zySnzpS1/KrocNGxbTpk2LsrKyRnXl5eUxefLk2LRpU0RE9O3bN5577rno0aNHcp7NmzfHZz7zmVi3bl1ERPTs2TPuvffeGDNmTKO6ysrKOPfcc2PhwoXZcw899FCMGDEi2Tsi4rzzzosXX3wxIiLy8vLimmuuiYkTJzaqqa2tjauvvjp+97vfZc9dfvnlce6557bYuzPYsQAAAAAAAAB4v+qM56H5uzvUB8lxxx0XEydObDFUEPHuw/Wvfe1rMWXKlOy56urqePrpp5PX3Hnnndnj4uLimDp16k6hgoiIMWPGxPe///3set26dXH//fe3OM8vfvGLbKggIuLGG2/cKVQQEVFWVhZTp06N4uLiZudqTnl5eTZUEPHuKxSahgoiIoqKiuKWW26J4cOHZ89NmzYtqqqqWuwPAAAAAAAAQG4JFnSiM888MwoKCrLr+fPnN1u3aNGimD17dnZ91llnRf/+/ZN9P/vZz8bo0aOz6wceeCAaGhqarW1oaGj0eoXRo0fHSSedlOw9YMCAOOuss7LrWbNmxaJFi5L1v/zlL7PH3bt3j0svvTRZ26VLl7jiiiuy6w0bNsTjjz+erAcAAAAAAAAg9wQLOlHPnj2jT58+2fXbb7/dbN3zzz/faH3GGWe02vuLX/xi9vitt96KV155pdm6l19+Od56661d7h0RMX369GbramtrG+1WcPLJJ0dpaWmLvceOHdtox4cXXnih1XkAAAAAAAAAyB3Bgk6UyWSiuro6u95nn32arZsxY0b2eNCgQXHggQe22vuYY45J9mjpfNPrmjNw4MA46KCDWu1dXl7e6Pt94hOfaLV3Xl5ejB07Nrv+05/+FFu3bm31OgAAAAAAAAByQ7CgE/3lL3+JzZs3Z9c7vr5gRwsXLswef/SjH21T7/333z/233//Znukeu+///5RVlbWpv4jR45sV++m17S197Zt2+If//hHm64DAAAAAAAAYM8TLOgk69evjxtuuCG77tOnT5x66qk71VVWVkZVVVV2PWjQoDbfY8ddBRYvXtxszZIlS5qtb0/vd955J9auXbtTzY737NKlS6NXHLS1d9M+AAAAAAAAAOxduuR6gPeTzZs3x/Lly+OPf/xj/PznP4+33norIiKKiori9ttvj9LS0p2uWbFiRaP1AQcc0Ob77bhjwcqVK5ut2bF///79d6l3RMTy5cujX79+yd79+vWLgoKCNvVu+h2XL1/e5rkAAAAAAAAA2LMEC3bDVVddFb/97W9brPnwhz8c119/fYwYMaLZz3fcrSAiolevXm2+/46127Zti5qamujatWv23NatW6Ouri677tmz5y71johGr3TYbsfZ29O7aW1zvQEAAAAAAADYOwgWdJK8vLyYMGFCfPvb347evXsn66qrqxuti4qK2nyPHUMEEe8+oN/xXNPeTevb07tpr6bn2tO7W7durfbekxYtWhT5+d4KAgAAAAAAALz3NTQ0dHhPwYLd0Ldv3zjooIMi4t2/nKqqqtiwYUNERGQymXj44Yfj6aefjvPPPz8uuOCCZh9e19TUNFoXFha2+f5NQwhNe3Vk761bt+5Us2P/ju69J9XX10d9fX1OZwAAAAAAAADYWwkW7IbLL788Lr/88kbn1q9fHzNmzIhp06bF4sWLo7q6Ov793/89Fi1aFLfffnvk5eU1qm/6S/9t27a1+f61tbUt9urI3k13GWjav6N770kFBQV2LAAAAAAAAADeFxoaGjr8h9WCBR2sT58+cdppp8XnP//5+Pa3vx3PPvtsRET87ne/izFjxsRXv/rVRvXFxcWN1k0furek6Y4EPXr0aLF30/r29G7aq+m59vRuukNBc733pEMPPTRKSkpyOgMAAAAAAABAR6iqqoqKiooO7eln2p2kqKgobr311hgwYED23NSpU3d6n0XTB9obN25s8z02bdqUPS4sLNxph4Ju3bpFly5dmq1vT++InUMLEY1nb0/vd955p9XeAAAAAAAAAOwdBAs6Ubdu3eL000/PrtesWbNTMuTAAw9stF69enWb++9Yu2OAIdV/1apVu9Q7ImLgwIEt9l67dm2bt9NoOkdzvQEAAAAAAADYOwgWdLLDDz+80fqNN95otC4rK2v0y/+mn7dkx9pDDjmk2ZqDDz44e7x8+fJd6l1aWhr9+vXbqWbHe9bV1bU5uND0O6ZmBwAAAAAAACD3BAs6WVFRUaN1c7/qHzp0aPb45ZdfblPfNWvWxJo1a5rtsaNhw4Zlj1evXh2VlZVt6r/jHIcddlirvSMi5s2b1+7ehYWFjcIPAAAAAAAAAOxdBAs62YoVKxqt9913351qjjvuuOzxsmXLdrqmOS+99FKj9fHHH99s3Y69m7uuOcuXL2+0q0Cq95gxY6K4uDi7njVrVqu9M5lMzJ49O7v+2Mc+Ft27d2/1OgAAAAAAAAByQ7Cgkz333HPZ4y5duuz0K/+IiHHjxjVaP/TQQ632ffjhh7PHffv2jZEjRzZbN2rUqOjbt+8u946IOPHEE5utKyoqimOPPTa7fuaZZ+Kdd95psffs2bNj5cqVrfYGAAAAAAAAYO8gWNBGW7dujYaGhnZd8/TTTzf6Ff/RRx8dvXr12qnusMMOi6OPPjq7vv/++2PVqlXJvs8++2zMnTs3u/7nf/7nyM9v/q8yPz8/zjzzzOx67ty5jcIOTa1cuTLuv//+7PrjH/948lUIERETJ07MHm/ZsiXuuuuuZG1dXV3cdttt2fU+++wT48ePT9YDAAAAAAAAkHuCBW30yiuvxPjx4+Oxxx6LzZs3t1hbU1MT9913X1xxxRXZc/n5+fGtb30rec1ll12WPa6uro7JkyfH2rVrd6orLy+Pa6+9Nrvu06dPnH322S3Oc/bZZ0fv3r2z62uuuSb+8pe/7FRXWVkZkydPjurq6uy5lmaOiDjqqKPik5/8ZHb9wAMPxAMPPLBTXW1tbVx55ZXx2muvZc9NmjQpSktLW+wPAAAAAAAAQG7lZTKZTK6HeC/405/+FGeddVZERHTr1i1GjhwZH/rQh6KsrCxKS0ujvr4+1q9fHwsWLIiZM2fu9EqAq6++utUAwJ133hlTp07Nrnv06BGnnnpqDB06NGpqaqK8vDymT5+e3TmhoKAg7rvvvkavI0j54x//GBdccEHU19dnrx03blyMHj06ioqKoqKiIp544olGoYLJkyfHN7/5zVZ7r169Os4444x48803s+c++tGPxrhx46J3796xYsWKePzxx2P16tXZzz/+8Y/Hf/zHf0RhYWGr/TtaVVVVVFRUZNfDhg2LkpKSPT4HAAAAAAAAQEfrjOehggVttGOwoD1KS0vj6quvjgkTJrRam8lk4vrrr49f//rXrdYWFRXFDTfcEKeffnqbZ3n00Ufjuuuui9ra2lZrv/KVr8T1118feXl5ber96quvJndZaGrUqFFx3333NftaiD1BsAAAAAAAAAB4vxIsyKENGzbEb37zm3jxxRfjr3/9a9TU1LRYf8ABB8Spp54aX/va12K//fZr172ee+65uPvuu2PhwoU7fZafnx9jx46Nq666KoYOHdquvhERCxcujJtvvjlmz56d3flgR0OHDo0pU6bEZz7zmXb33rBhQ9x6663xf//v/22088F2++23X0ycODHOPffcKCgoaHf/jiJYAAAAAAAAALxfCRbsJbZt2xaLFi2KpUuXxtq1a6O6ujoKCgqitLQ09ttvvxg+fHgMGDBgt+9TUVERFRUVsXbt2igsLIyysrIYNWpUlJWV7XbvysrKmDdvXlRWVsa2bduiX79+MWzYsBg2bNhu9968eXPMmTMnVq9eHZs2bYq+ffvGoEGDYvTo0TkNFGwnWAAAAAAAAAC8XwkWQAcQLAAAAAAAAADerzrjeWj+7g4FAAAAAAAAALx/CRYAAAAAAAAAAEmCBQAAAAAAAABAkmABAAAAAAAAAJAkWAAAAAAAAAAAJAkWAAAAAAAAAABJggUAAAAAAAAAQJJgAQAAAAAAAACQJFgAAAAAAAAAACQJFgAAAAAAAAAASYIFAAAAAAAAAECSYAEAAAAAAAAAkCRYAAAAAAAAAAAkCRYAAAAAAAAAAEmCBQAAAAAAAABAkmABAAAAAAAAAJAkWAAAAAAAAAAAJHXJ9QBAY/WZTKzdWp/rMQAa6detIAry8nI9BgAAAAAAkAOCBbCXWbu1Po55ZnmuxwBo5KWTB8YB3f3PBgAAAAAA+CDyKgQAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgKQuuR7gvaq2tjYWL14cr7/+eqxbty5qamqitLQ0ysrKYuTIkbHvvvvmesQWbdy4MebMmROVlZWxefPm6NevXwwZMiSOOOKI3e5dW1sb5eXlsXLlyli/fn306dMnBgwYEGPGjImioqIOmB4AAAAAAACAPUWwoB3Wr18fzzzzTPzhD3+I8vLyqK6uTtaOHj06Jk2aFOPGjWtT74kTJ8af//znds90/fXXx1e/+tU2169evTpuvvnmmD59emzbtm2nzwcNGhTnnXdenHHGGe2eZevWrXH33XfHI488Ehs2bNjp83322ScmTJgQU6ZMiW7durW7PwAAAAAAAAB7nmBBGy1evDjGjx8fdXV1baqfO3duzJ07Nz7/+c/HD37wg73iQfrMmTPjW9/6VmzatClZs2zZsrj22mtjxowZcccdd7R5h4GVK1fG+eefH4sWLUrWbNiwIX7605/GjBkz4ic/+UkMGDCg3d8BAAAAAAAAgD1LsKCNamtrG4UK8vPzY/jw4TFmzJjo379/lJaWxrp16+LPf/5zzJw5MzKZTEREPPXUU1FVVRX33ntvFBQUtOlevXr1il69erWptrS0tE11FRUVMWXKlNi8eXP23DHHHBNjx46N0tLSWLJkSTz++OPZnQaee+65uO666+Kmm25qtXdVVVVceOGFjUIFQ4YMiVNOOSXKyspizZo18fTTT8eSJUsiImLRokVx4YUXxoMPPhglJSVtmh8AAAAAAACA3BAsaKeysrL4yle+EhMmTIiysrKdPj///PPjr3/9a1x66aWxatWqiIiYMWNG/J//83/izDPPbNM9Jk6cGN/4xjc6bOaGhob49re/nQ0VFBUVxe233x6f/exnG9VNmTIlLrroovjTn/4UERGPPvpoHHfccfG5z32uxf633357LFy4MLueNGlSXH755ZGXl5c9d8kll8Stt94a//mf/xkREQsXLowf/vCHcd1113XIdwQAAAAAAACgc+TneoD3iuLi4rjyyivjueeei4suuqjZUMF2I0aMiJ/+9KfRtWvX7Llp06btiTGb9eSTTzZ68H/ZZZftFCqIiCgpKYkf//jHjb7b3XffHfX19cney5cvj4cffji7/vSnPx1XXHFFo1BBREReXl5ceeWV8elPfzp77qGHHorly5fv0ncCAAAAAAAAYM8QLGijQYMGxTnnnNMoLNCSQw45JE4//fTsetWqVfH666931ngt+uUvf5k97t+/f5x11lnJ2tLS0ka7JSxZsiRmzpyZrH/wwQdj27ZtEfFueOCqq65qcZYdP9+2bVs8+OCDrc4PAAAAAAAAQO4IFnSio48+utE6F7/Or6ysjFdffTW7Pv3006OgoKDFa0455ZTo3r17dj19+vRk7Y6fHXXUUTF48OAWew8ePDiOOuqoNvUGAAAAAAAAIPcECzpRjx49Gq23bNmyx2d48cUXI5PJZNef+MQnWr2mR48eMXLkyOx6xowZzdYtW7Ysli5d2q7eTeuWLl0ab7zxRpuuAwAAAAAAAGDPEyzoRCtWrGi07tu37x6foaKiInvcpUuXOOKII9p03Y7BgjVr1sSmTZt2qlm4cGHympaMGjWqxT4AAAAAAAAA7D265HqA97Mdt/kvLCyMD3/4w226bubMmfGXv/wlXn/99di4cWN07949evfuHcOHD4+xY8fGP/3TP0VJSUmbei1ZsiR7XFZWFkVFRW267qCDDmq0Xrx48U6BgMWLF7d4TcrAgQN36jNu3Lg2XQsAAAAAAADAnmXHgk6yYMGCmDVrVnb9yU9+MkpLS9t07csvvxyzZ8+Ot956K7Zt2xabNm2KZcuWxTPPPBPXXXddnHDCCfHzn/+8Tb123DWhf//+bZ7/gAMOaLRevnx5i73z8/OjrKysTb3LysoiP////6fXXG8AAAAAAAAA9g6CBZ2grq4urr322mhoaMieu/jii9vVo2vXrtGvX79mdxnYuHFj3HTTTTFlypSoq6trsU9VVVX2uGfPnm2+f9PazZs3t9i7R48e0aVL2zbAKCwsjO7du7fYGwAAAAAAAIC9g1chdILbb7895s+fn11/+ctfjiOOOKLV644++ug4+eSTY+zYsTFo0KDsr/rr6+vjb3/7W/zmN7+JRx99NOrr6yMi4tlnn43vfe97ccMNNyR7VldXZ4+7du3a5u/QrVu3ZJ/d7b29//ZAQXO996RFixY12kEhVw4//PA2v6oCIFdqa2tjwYIFuR4DAAAAAABI2PEH8B1FsKCDPfLII/Gzn/0suz744IPj6quvbvW6u+66K/r06dPsZwUFBTFixIgYMWJEjB8/PiZPnpzdLeDXv/51jB8/Po488shmr62pqckeFxYWtvl7NH3AvXXr1g7r3bR/c733pPr6+mxYA4DWbdu2LdcjAAAAAAAAe5BgQQeaMWNGfOc738mu99lnn/jxj3/caNv/lFSooKmPfexjccsttzR6tcLUqVNj2rRpzdZ37do1tmzZEhHtexBUW1vbaN10B4Ptvbdr70OmHfs313tPKigo2Ct2LAB4r2hvmAwAAAAAANhzGhoaOvyH1YIFHaS8vDymTJkSdXV1ERHRo0ePmDZtWgwZMqTD7zVu3LgYNWpUzJs3LyIi/ud//ie2bt3a7AP64uLibLBgxx0GWtN0F4Hi4uJme2/Xnt5N+zfXe0869NBDo6SkJKczALxXFBUVxYgRI3I9BgAAAAAAkFBVVRUVFRUd2tPPtDvAq6++GhdccEH2YXnXrl3j3nvv7dQHL+PGjcse19bWxmuvvdZs3Y4PzDdt2tTm/k1re/To0WLv6urqbKiiNXV1ddmwQ6o3AAAAAAAAAHsHwYLdtHDhwpg0aVJUVVVFxLvbQ999991x9NFHd+p9Bw8e3Gi9fv36ZusOPPDA7PGqVava3H/16tWN1gMHDmyxd319fVRWVrap95o1a6KhoaHF3gAAAAAAAADsHQQLdsPSpUvjnHPOiQ0bNkREREFBQdx6663xqU99qtPv3fS1B01fXbDdIYcckj2urKyM2traNvV/4403kn1S55pek7J8+fJWewMAAAAAAACwdxAs2EWrVq2Kr3/96/Hmm29GREReXl5873vfi1NOOWWP3P+tt95qtO7du3ezdcOGDcse19XVxfz589vU/+WXX84el5WVRa9evVrs3fSalsybN6/ReujQoW26DgAAAAAAAIA9T7BgF7z55ptx9tlnN3q1wDXXXBMTJkzYYzPMnTu30XrAgAHN1h177LGN1rNmzWq19+bNmxuFBI4//vhm6wYNGhSDBg1qV++mdYMHD27UAwAAAAAAAIC9i2BBO23YsCHOOeecWLZsWfbcv/zLv8TEiRP36AxPPfVUdt2/f/8YPHhws7X7779/fOQjH8muH3300aivr2+x/9NPPx1btmzJrk888cRk7Y6fzZkzJ5YuXdpi76VLl8acOXOy6xNOOKHFegAAAAAAAAByS7CgHaqqquLcc8+NhQsXZs9deOGFcf755+9W361bt7a5tqGhIf71X/81qqqqsufGjx/f4jU7hh5WrVoV999/f7K2qqoq7rnnnux68ODBO+16sKOvfvWrUVhYGBERmUwmbrnllhZnufnmm7PHhYWFceaZZ7ZYDwAAAAAAAEBuCRa0UU1NTUyePDnmz5+fPXfWWWfFt771rd3u/eUvfznuvvvuRq9WaM7KlSvjvPPOi+nTp2fP9enTJ84999wWrxs/fnwceuih2fUdd9wRv//973eqq6qqiosvvjgqKyuz5y699NIoKChI9j7ooIPi9NNPz65feOGFuO222yKTyTSqy2Qyceutt8Yf/vCH7LkJEybEwIEDW5wdAAAAAAAAgNzKyzR9AkyzHnvssbjyyisbnRs4cGDk5eW1ucdJJ50Ul19++U7nTzjhhFi5cmXk5eXFhz70ofjIRz4SgwYNip49e0ZExFtvvRXz5s2Ll156Kerq6rLXde3aNX7+85/H6NGjW7333//+9zjzzDOjuro6e+6Tn/xkfOITn4iSkpL4xz/+EY899li8/fbb2c9PPfXUuPXWW1vtXVVVFV/+8pdj0aJF2XOHHnpofO5zn4uysrKorKyMp556KpYsWZL9/LDDDotf//rXUVJS0mr/jlZVVRUVFRXZ9bBhw3IyR8rqLXVxzDPLcz0GQCMvnTwwDujeJddjAAAAAAAAreiM56GeELRRQ0PDTueWL2/fw99169a1+Hkmk4m//e1v8be//a3VXgMGDIjbb7+9TaGCiIjhw4fHXXfdFZdddlm88847ERExc+bMmDlzZrP1J5xwQnz/+99vU++SkpK477774rzzzsuGBxYtWtTolQo7OuSQQ2Lq1Kl71cN8AAAAAAAAAJrnVQh7ga985SsxatSoKCwsbLV20KBBceWVV8YTTzzR5lDBdscdd1w88cQT8dnPfjZ5r4EDB8Z3v/vduPfee6OoqKjNvQ888MD47W9/G+ecc0706tWr2ZpevXrFOeecE7/97W/jwAMPbNfsAAAAAAAAAOSGVyHsRWpra2Px4sXxxhtvxNq1a2Pz5s2Rl5cXJSUlsd9++8WIESNi//3375B7bdiwIcrLy2PNmjVRXV0d/fr1i0MOOSRGjBix271ra2tjzpw5sXLlynj77bejd+/eMWDAgDjqqKPaFVboLF6FANB+XoUAAAAAAADvDV6F8D5XVFQUw4cPj+HDh3f6vfbZZ58YN25cp/QuKiqKY445plN6AwAAAAAAALBneRUCAAAAAAAAAJAkWAAAAAAAAAAAJAkWAAAAAAAAAABJggUAAAAAAAAAQJJgAQAAAAAAAACQJFgAAAAAAAAAACQJFgAAAAAAAAAASYIFAAAAAAAAAECSYAEAAAAAAAAAkCRYAAAAAAAAAAAkCRYAAAAAAAAAAEmCBQAAAAAAAABAkmABAAAAAAAAAJAkWAAAAAAAAAAAJAkWAAAAAAAAAABJggUAAAAAAAAAQJJgAQAAAAAAAACQJFgAAAAAAAAAACQJFgAAAAAAAAAASYIFAAAAAAAAAECSYAEAAAAAAAAAkCRYAAAAAAAAAAAkCRYAAAAAAAAAAEmCBQAAAAAAAABAkmABAAAAAAAAAJAkWAAAAAAAAAAAJAkWAAAAAAAAAABJggUAAAAAAAAAQJJgAQAAAAAAAACQJFgAAAAAAAAAACQJFgAAAAAAAAAASYIFAAAAAAAAAECSYAEAAAAAAAAAkCRYAAAAAAAAAAAkCRYAAAAAAAAAAEmCBQAAAAAAAABAkmABAAAAAAAAAJAkWAAAAAAAAAAAJAkWAAAAAAAAAABJggUAAAAAAAAAQJJgAQAAAAAAAACQJFgAAAAAAAAAACQJFgAAAAAAAAAASYIFAAAAAAAAAECSYAEAAAAAAAAAkCRYAAAAAAAAAAAkCRYAAAAAAAAAAEmCBQAAAAAAAABAkmABAAAAAAAAAJAkWAAAAAAAAAAAJAkWAAAAAAAAAABJggUAAAAAAAAAQJJgAQAAAAAAAACQJFgAAAAAAAAAACQJFgAAAAAAAAAASYIFAAAAAAAAAECSYAEAAAAAAAAAkCRYAAAAAAAAAAAkCRYAAAAAAAAAAEmCBQAAAAAAAABAkmABAAAAAAAAAJAkWAAAAAAAAAAAJAkWAAAAAAAAAABJggUAAAAAAAAAQJJgAQAAAAAAAACQJFgAAAAAAAAAACQJFgAAAAAAAAAASYIFAAAAAAAAAECSYAEAAAAAAAAAkCRYAAAAAAAAAAAkCRYAAAAAAAAAAEmCBQAAAAAAAABAkmABAAAAAAAAAJAkWAAAAAAAAAAAJAkWAAAAAAAAAABJggUAAAAAAAAAQJJgAQAAAAAAAACQJFgAAAAAAAAAACQJFgAAAAAAAAAASYIFAAAAAAAAAECSYAEAAAAAAAAAkCRYAAAAAAAAAAAkCRYAAAAAAAAAAEmCBQAAAAAAAABAkmABAAAAAAAAAJAkWAAAAAAAAAAAJAkWAAAAAAAAAABJggUAAAAAAAAAQJJgAQAAAAAAAACQJFgAAAAAAAAAACQJFgAAAAAAAAAASYIFAAAAAAAAAECSYAEAAAAAAAAAkCRYAAAAAAAAAAAkCRYAAAAAAAAAAEmCBQAAAAAAAABAkmABAAAAAAAAAJAkWAAAAAAAAAAAJAkWAAAAAAAAAABJggUAAAAAAAAAQJJgAQAAAAAAAACQJFgAAAAAAAAAACQJFgAAAAAAAAAASYIFAAAAAAAAAECSYAEAAAAAAAAAkCRYAAAAAAAAAAAkCRYAAAAAAAAAAEmCBQAAAAAAAABAkmABAAAAAAAAAJAkWAAAAAAAAAAAJAkWAAAAAAAAAABJggUAAAAAAAAAQJJgAQAAAAAAAACQJFgAAAAAAAAAACQJFgAAAAAAAAAASYIFAAAAAAAAAECSYAEAAAAAAAAAkCRYAAAAAAAAAAAkCRYAAAAAAAAAAEmCBQAAAAAAAABAkmABAAAAAAAAAJAkWAAAAAAAAAAAJAkWAAAAAAAAAABJggUAAAAAAAAAQJJgAQAAAAAAAACQJFgAAAAAAAAAACQJFgAAAAAAAAAASYIFAAAAAAAAAECSYAEAAAAAAAAAkCRYAAAAAAAAAAAkCRYAAAAAAAAAAEmCBQAAAAAAAABAkmABAAAAAAAAAJAkWAAAAAAAAAAAJAkWAAAAAAAAAABJggUAAAAAAAAAQJJgAQAAAAAAAACQJFgAAAAAAAAAACQJFgAAAAAAAAAASYIFAAAAAAAAAECSYAEAAAAAAAAAkCRYAAAAAAAAAAAkCRYAAAAAAAAAAEmCBQAAAAAAAABAkmABAAAAAAAAAJAkWAAAAAAAAAAAJAkWAAAAAAAAAABJggUAAAAAAAAAQJJgAQAAAAAAAACQJFgAAAAAAAAAACQJFgAAAAAAAAAASYIFAAAAAAAAAECSYAEAAAAAAAAAkCRYAAAAAAAAAAAkCRYAAAAAAAAAAEmCBQAAAAAAAABAkmABAAAAAAAAAJAkWAAAAAAAAAAAJAkWAAAAAAAAAABJggUAAAAAAAAAQJJgAQAAAAAAAACQJFgAAAAAAAAAACQJFgAAAAAAAAAASYIFAAAAAAAAAECSYAEAAAAAAAAAkCRYAAAAAAAAAAAkCRYAAAAAAAAAAEmCBQAAAAAAAABAkmABAAAAAAAAAJAkWAAAAAAAAAAAJAkWAAAAAAAAAABJXXI9wHtVbW1tLF68OF5//fVYt25d1NTURGlpaZSVlcXIkSNj33333e17LFy4MCoqKqKysjKKioqirKwsRo0aFf369dvt3mvXro158+ZFZWVl1NbWRllZWRx++OFx2GGH7Xbv6urqmDNnTqxevTo2bdoU++67bxx00EExevToyM+XZQEAAAAAAAB4LxEsaIf169fHM888E3/4wx+ivLw8qqurk7WjR4+OSZMmxbhx49p9n+effz7uueeeWLBgwU6fFRQUxNixY+Oqq67apRDA66+/HjfffHPMnj076uvrd/r88MMPj2984xu7NPfGjRvjtttui6eeeqrZP5t+/frFxIkTY9KkSVFQUNDu/gAAAAAAAADseXmZTCaT6yHeCxYvXhzjx4+Purq6dl33+c9/Pn7wgx9Et27d2lT/3e9+N371q1+1Wte1a9f47ne/G1/4whfaPMtjjz0W3/nOd6KmpqbV2q997Wvxb//2b23u/dprr8XkyZNjzZo1rdaOHj067rvvvujZs2eb+3ekqqqqqKioyK6HDRsWJSUlOZmlOau31MUxzyzP9RgAjbx08sA4oLs8IgAAAAAA7O0643moJwRtVFtb2yhUkJ+fH8OHD48xY8ZE//79o7S0NNatWxd//vOfY+bMmbE9r/HUU09FVVVV3Hvvva3+Sv+ee+5pFCooLi6O8ePHx7Bhw6KmpibKy8vjhRdeiIaGhqipqYlrrrkmysrKYuzYsa3OP2vWrLjmmmuy3yE/Pz/GjRsXRx55ZBQWFkZFRUU8+eST2Z0GHnjggejdu3dccsklrfaurKyMCy64INauXZs9N2LEiBg3blz07t07VqxYEU888USsXr06IiLmzp0bl156aUybNi26dPGfIAAAAAAAAMDezI4FbfT3v/89vvCFL0RZWVl85StfiQkTJkRZWVmztX/961/j0ksvjVWrVmXPXXfddXHmmWcm+7/yyivxpS99KbseNmxYTJs2bad7lJeXx+TJk2PTpk0REdG3b9947rnnokePHsnemzdvjs985jOxbt26iIjo2bNn3HvvvTFmzJhGdZWVlXHuuefGwoULs+ceeuihGDFiRLJ3RMR5550XL774YkRE5OXlxTXXXBMTJ05sVFNbWxtXX311/O53v8ueu/zyy+Pcc89tsXdnsGMBQPvZsQAAAAAAAN4bOuN5aP7uDvVBUVxcHFdeeWU899xzcdFFFyVDBRHv/lr/pz/9aXTt2jV7btq0aS32v/POOxvda+rUqc3eY8yYMfH9738/u163bl3cf//9Lfb+xS9+kQ0VRETceOONO4UKIiLKyspi6tSpUVxc3OxczSkvL8+GCiLefYVC01BBRERRUVHccsstMXz48Oy5adOmRVVVVYv9AQAAAAAAAMgtwYI2GjRoUJxzzjmNwgItOeSQQ+L000/PrletWhWvv/56s7WLFi2K2bNnZ9dnnXVW9O/fP9n7s5/9bIwePTq7fuCBB6KhoaHZ2oaGhkavVxg9enScdNJJyd4DBgyIs846K7ueNWtWLFq0KFn/y1/+MnvcvXv3uPTSS5O1Xbp0iSuuuCK73rBhQzz++OPJegAAAAAAAAByT7CgEx199NGN1suXN7+9/fPPP99ofcYZZ7Ta+4tf/GL2+K233opXXnml2bqXX3453nrrrV3uHRExffr0Zutqa2sb7VZw8sknR2lpaYu9x44dGwMGDMiuX3jhhVbnAQAAAAAAACB3BAs6UY8ePRqtt2zZ0mzdjBkzsseDBg2KAw88sNXexxxzTLJHS+ebXtecgQMHxkEHHdRq7/Ly8qiurs6uP/GJT7TaOy8vL8aOHZtd/+lPf4qtW7e2eh0AAAAAAAAAuSFY0IlWrFjRaN23b99m6xYuXJg9/uhHP9qm3vvvv3/sv//+zfZI9d5///2jrKysTf1HjhzZrt5Nr2lr723btsU//vGPNl0HAAAAAAAAwJ4nWNCJdnyFQGFhYXz4wx/eqaaysjKqqqqy60GDBrW5/467CixevLjZmiVLljRb357e77zzTqxdu3anmh3v2aVLl0avOGhr76Z9AAAAAAAAANi7CBZ0kgULFsSsWbOy609+8pNRWlq6U13TXQ0OOOCANt9jxx0LVq5c2WzNjv379++/S70jIpYvX95i7379+kVBQUGbejf9js31BgAAAAAAAGDvIFjQCerq6uLaa6+NhoaG7LmLL7642doddyuIiOjVq1eb77Nj7bZt26KmpqbR51u3bo26urrsumfPnrvUOyJi8+bNO9XsOHt7ejetba43AAAAAAAAAHuHLrke4P3o9ttvj/nz52fXX/7yl+OII45otra6urrRuqioqM336dq1a6P15s2bG51r2rtpfXt6N+3V9Fx7enfr1q3V3nvSokWLIj8/9xmbww8/vF1//wC5UFtbGwsWLMj1GAAAAAAAQMKOP4DvKIIFHeyRRx6Jn/3sZ9n1wQcfHFdffXWyvukuA4WFhW2+V9OH0E17dWTvrVu37lSzY/+O7r0n1dfXR319fU5nAHgv2bZtW65HAAAAAAAA9iDBgg40Y8aM+M53vpNd77PPPvHjH/84unfvnrym6S/92/Owpra2tsVeHdm76S4DTft3dO89qaCgYK/YsQDgvaI9YTIAAAAAAGDPamho6PAfVgsWdJDy8vKYMmVK1NXVRUREjx49Ytq0aTFkyJAWrysuLm60bvrQvSVNdyTo0aNHi72b1rend9NeTc+1p3fTHQqa670nHXrooVFSUpLTGQDeK4qKimLEiBG5HgMAAAAAAEioqqqKioqKDu3pZ9od4NVXX40LLrgg+8C8a9euce+997bpwUvTB9obN25s8303bdqUPS4sLNxph4Ju3bpFly5dmq1vT++InUMLEY1nb0/vd955p9XeAAAAAAAAAOwdBAt208KFC2PSpElRVVUVEe8+4L/77rvj6KOPbtP1Bx54YKP16tWr23zvHWsHDBjQav9Vq1btUu+IiIEDB7bYe+3atW3eTqPpHM31BgAAAAAAAGDvIFiwG5YuXRrnnHNObNiwISIiCgoK4tZbb41PfepTbe5RVlbW6Jf/b7zxRpuv3bH2kEMOabbm4IMPzh4vX758l3qXlpZGv379dqrZ8Z51dXVtDi40/Y6p2QEAAAAAAADIPcGCXbRq1ar4+te/Hm+++WZEROTl5cX3vve9OOWUU9rda+jQodnjl19+uU3XrFmzJtasWdNsjx0NGzYse7x69eqorKxsU/8d5zjssMNa7R0RMW/evHb3LiwsbBR+AAAAAAAAAGDvIliwC9588804++yzG/1C/5prrokJEybsUr/jjjsue7xs2bJYsWJFq9e89NJLjdbHH398q72bu645y5cvb7SrQKr3mDFjori4OLueNWtWq70zmUzMnj07u/7Yxz4W3bt3b/U6AAAAAAAAAHJDsKCdNmzYEOecc04sW7Yse+5f/uVfYuLEibvcc9y4cY3WDz30UKvXPPzww9njvn37xsiRI5utGzVqVPTt23eXe0dEnHjiic3WFRUVxbHHHptdP/PMM/HOO++02Hv27NmxcuXKVnsDAAAAAAAAsHcQLGiHqqqqOPfcc2PhwoXZcxdeeGGcf/75u9X3sMMOi6OPPjq7vv/++xvthtDUs88+G3Pnzs2u//mf/zny85v/q8zPz48zzzwzu547d24899xzyd4rV66M+++/P7v++Mc/nnwVQkQ0ClRs2bIl7rrrrmRtXV1d3Hbbbdn1PvvsE+PHj0/WAwAAAAAAAJB7ggVtVFNTE5MnT4758+dnz5111lnxrW99q0P6X3bZZdnj6urqmDx5cqxdu3anuvLy8rj22muz6z59+sTZZ5/dYu+zzz47evfunV1fc8018Ze//GWnusrKypg8eXJUV1dnz7X2/Y466qj45Cc/mV0/8MAD8cADD+xUV1tbG1deeWW89tpr2XOTJk2K0tLSFvsDAAAAAAAAkFt5mUwmk+sh3gsee+yxuPLKKxudGzhwYOTl5bW5x0knnRSXX3558vM777wzpk6dml336NEjTj311Bg6dGjU1NREeXl5TJ8+PRoaGiIioqCgIO67775GryNI+eMf/xgXXHBB1NfXZ68dN25cjB49OoqKiqKioiKeeOKJRqGCyZMnxze/+c1We69evTrOOOOMePPNN7PnPvrRj8a4ceOid+/esWLFinj88cdj9erV2c8//vGPx3/8x39EYWFhq/07WlVVVVRUVGTXw4YNi5KSkj0+R8rqLXVxzDPLcz0GQCMvnTwwDujeJddjAAAAAAAAreiM56GeELTR9of5O1q+vH0Pf9etW9fi59/85jdjw4YN8etf/zoiIjZv3hz/9V//1WxtUVFR3HDDDW0KFUREHHvssfH9738/rrvuuqitrY36+vp49tln49lnn222/itf+Upceumlbep9wAEHxNSpUxvtsvDKK6/EK6+80mz9qFGj4u67785JqAAAAAAAAACA9vEqhL1IXl5e3HDDDfGjH/0ohg4d2mxNfn5+HHPMMfHII4/E6aef3q7+p59+ejzyyCNxzDHHRH5+83/1Q4cOjR/96Edxww03tGs3ho985CPx5JNPxoQJE6K4uLjZmv322y8uu+yy+NWvfhW9evVq1+wAAAAAAAAA5IZXIezFKioqoqKiItauXRuFhYVRVlYWo0aNirKyst3uXVlZGfPmzYvKysrYtm1b9OvXL4YNGxbDhg3b7d6bN2+OOXPmxOrVq2PTpk3Rt2/fGDRoUIwePToKCgp2u//u8ioEgPbzKgQAAAAAAHhv8CqED5iOetDfnLKysjj55JM7pXePHj3iU5/6VKf0BgAAAAAAAGDP8ioEAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEjqkusBAADejzKZ+qivXZvrMQAaKSjqF3l5BbkeAwAAAID3GMECAIBOUF+7NlbM/USuxwBo5MDRs6JL1wNyPQYAAAAA7zFehQAAAAAAAAAAJAkWAAAAAAAAAABJggUAAAAAAAAAQJJgAQAAAAAAAACQJFgAAAAAAAAAACQJFgAAAAAAAAAASYIFAAAAAAAAAECSYAEAAAAAAAAAkCRYAAAAAAAAAAAkCRYAAAAAAAAAAEmCBQAAAAAAAABAkmABAAAAAAAAAJAkWAAAAAAAAAAAJAkWAAAAAAAAAABJggUAAAAAAAAAQJJgAQAAAAAAAACQJFgAAAAAAAAAACQJFgAAAAAAAAAASYIFAAAAAAAAAECSYAEAAAAAAAAAkCRYAAAAAAAAAAAkCRYAAAAAAAAAAEmCBQAAAAAAAABAkmABAAAAAAAAAJAkWAAAAAAAAAAAJAkWAAAAAAAAAABJggUAAAAAAAAAQJJgAQAAAAAAAACQJFgAAAAAAAAAACQJFgAAAAAAAAAASYIFAAAAAAAAAECSYAEAAAAAAAAAkCRYAAAAAAAAAAAkCRYAAAAAAAAAAEmCBQAAAAAAAABAkmABAAAAAAAAAJAkWAAAAAAAAAAAJAkWAAAAAAAAAABJggUAAAAAAAAAQJJgAQAAAAAAAACQ1CWXNx8+fHhEROTl5cXzzz8f/fv336U+K1eujHHjxmV7vfbaax02IwAAAAAAAAB8kOU0WJDJZPbKXgAAAAAAAADAu3L+KoS8vLxcjwAAAAAAAAAAJOQ8WGCnAQAAAAAAAADYe+U8WNARtm7dmj3u1q1bDicBAAAAAAAAgPeX90Ww4B//+Ef2uLS0NIeTAAAAAAAAAMD7y3s+WLBly5b4xS9+EREReXl5cfDBB+d4IgAAAAAAAAB4/+jS2Te4+uqr21R3yy23RHFxcZv7btu2Ld56662YP39+VFdXZ88fddRR7Z4RAAAAAAAAAGhepwcLfvvb30ZeXl6LNZlMJn7/+9/vUv9MJpPt361bt5gwYcIu9QEAAAAAAAAAdvaefxVCxLvhgq5du8aNN94YBxxwQK7HAQAAAAAAAID3jU7fsSDi3Qf/HVGzo6KioigtLY2DDz44xowZE2eccUYMGDBgV0cEAAAAAAAAAJrR6cGCBQsWJD87/PDDs68xmD59evTv37+zxwEAAAAAAAAA2iHnr0Jo704FAAAAAAAAAMCes0dehZBy2mmnZY+Li4tzOAkAAAAAAAAA0JycBgtuuummXN4eAAAAAAAAAGhFzl+FAAAAAAAAAADsvQQLAAAAAAAAAIAkwQIAAAAAAAAAIKlLrgfYLpPJxB//+MeYM2dOLFiwINavXx9VVVVRV1fXrj55eXnx/PPPd9KUAAAAAAAAAPDBslcEC5588sm4/fbbY+3atY3OZzKZdvfKy8vrqLEAAAAAAAAA4AMv58GCm266Ke6///5siGB7MGBXQgUAAAAAAAAAQMfKabDgsccei1/84hcR8W6gIJPJRCaTiaKiohg0aFCUlJREly45zz4AAAAAAAAAwAdWTp/a//u//3tE/P9QwejRo+Piiy+Oj3/841FQUJDL0QAAAAAAAACAyGGw4NVXX401a9ZkX31wyimnxA9/+MPsGgAAAAAAAADIvfxc3fjvf/97RERkMpno2rVrXH/99UIFAAAAAAAAALCXyVmw4O23346Id1+DMHLkyOjZs2euRgEAAAAAAAAAEnIWLCgpKcke77fffrkaAwAAAAAAAABoQc6CBQcccED2uKqqKldjAAAAAAAAAAAtyFmw4Mgjj4yuXbtGRMSCBQtyNQYAAAAAAAAA0IKcBQt69uwZJ510UmQymVizZk3MmTMnV6MAAAAAAAAAAAk5CxZERFxxxRXRt2/fiIi48cYbo7q6OpfjAAAAAAAAAABN5DRYsN9++8Wdd94ZPXr0iIqKipg0aVKsXr06lyMBAAAAAAAAADvoksubr1q1Kg488MD44Q9/GFdeeWW8/PLLcfLJJ8fnPve5OPbYY2PIkCFRUlIS+fntyz/079+/kyYGAAAAAAAAgA+WnAYLTjjhhMjLy8uuM5lM1NTUxOOPPx6PP/74LvXMy8uL1157raNGBAAAAAAAAIAPtJwGC7bLZDKRl5e3U8gAAAAAAAAAAMitnAcLtgcIBAkAAAAAAAAAYO+T02DBJZdcksvbAwAAAAAAAACtECwAAAAAAAAAAJLycz0AAAAAAAAAALD3EiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASOqSy5vPmTOnU/oeddRRndIXAAAAAAAAAD5ochosmDhxYuTl5XVoz7y8vHjttdc6tCcAAAAAAAAAfFDlNFiwXSaTyfUIAAAAAAAAAEAzch4s2NVQwY47HQgmAAAAAAAAAEDnyGmw4KabbmpXfUNDQ7zzzjuxaNGimDVrVqxatSry8vKiV69ecdFFF0XPnj07aVIAAAAAAAAA+GDKabDgtNNO2+VrM5lMPPnkk3HjjTfGpk2b4r/+67/iZz/7WfTv378DJwQAAAAAAACAD7b8XA+wq/Ly8mL8+PHxq1/9Knr27BlvvPFGnHfeebFly5ZcjwYAAAAAAAAA7xvv2WDBdoceemh8+9vfjkwmE0uWLIn//b//d65HAgAAAAAAAID3jZy+CqGjnHbaaXHLLbdEVVVVPPzwwzFlypQoLCzM9Vh7tY0bN8acOXOisrIyNm/eHP369YshQ4bEEUccsdu9a2tro7y8PFauXBnr16+PPn36xIABA2LMmDFRVFTUAdMDAAAAAAAAsKe8L4IFXbp0iY9+9KPx0ksvxYYNG6K8vDzGjh3bKfeqra2NioqKePXVV2P+/Pkxf/78WLx4cdTX12drKioq2t134sSJ8ec//7nd111//fXx1a9+tc31q1evjptvvjmmT58e27Zt2+nzQYMGxXnnnRdnnHFGu2fZunVr3H333fHII4/Ehg0bdvp8n332iQkTJsSUKVOiW7du7e4PAAAAAAAAwJ73vggWRET07t07e7xixYpOuccXv/jFWLBgQbMP5N8LZs6cGd/61rdi06ZNyZply5bFtddeGzNmzIg77rijzTsMrFy5Ms4///xYtGhRsmbDhg3x05/+NGbMmBE/+clPYsCAAe3+DgAAAAAAAADsWe+bYMHmzZuzx2+//Xan3GP+/Pmd0repXr16Ra9evdpUW1pa2qa6ioqKmDJlSqM/p2OOOSbGjh0bpaWlsWTJknj88cezOw0899xzcd1118VNN93Uau+qqqq48MILG4UKhgwZEqecckqUlZXFmjVr4umnn44lS5ZERMSiRYviwgsvjAcffDBKSkraND8AAAAAAAAAufG+CBbU19fHK6+8kl239WH77igpKYkPfehDccQRR8TcuXNj3rx5HdZ74sSJ8Y1vfKPD+jU0NMS3v/3tbKigqKgobr/99vjsZz/bqG7KlClx0UUXxZ/+9KeIiHj00UfjuOOOi8997nMt9r/99ttj4cKF2fWkSZPi8ssvj7y8vOy5Sy65JG699db4z//8z4iIWLhwYfzwhz+M6667rkO+IwAAAAAAAACdIz/XA3SEn//857F+/frsevDgwZ1yn4kTJ8Ytt9wSTz/9dJSXl8cvf/nLuOKKKzrtfh3lySefbPTg/7LLLtspVBDxbljixz/+cZSVlWXP3X333VFfX5/svXz58nj44Yez609/+tNxxRVXNAoVRETk5eXFlVdeGZ/+9Kez5x566KFYvnz5Ln0nAAAAAAAAAPaM93SwoLq6Ou6555744Q9/mH2QXVxcHGPGjOmU+1177bXxhS98IYYMGbLTg/O92S9/+cvscf/+/eOss85K1paWljbaLWHJkiUxc+bMZP2DDz4Y27Zti4h3wwNXXXVVi7Ps+Pm2bdviwQcfbHV+AAAAAAAAAHInp69C+NGPftTua+rr6+Odd96JJUuWxNy5c6OmpiYymUxEvPtg++yzz47CwsKOHvU9q7KyMl599dXs+vTTT4+CgoIWrznllFPixhtvjC1btkRExPTp0+P4449vtnb69OnZ46OOOqrV3RsGDx4cRx11VMyZMyd7/RVXXNGWrwIAAAAAAABADuQ8WLA7v/zfMVCQyWRizJgxccEFF3TUeO8LL774YvbPKSLiE5/4RKvX9OjRI0aOHBmzZ8+OiIgZM2Y0W7ds2bJYunRpu3pvr9seLFi6dGm88cYbcdBBB7XpWgAAAAAAAAD2rPf0qxB2DCV86Utfivvuuy+KiopyONHep6KiInvcpUuXOOKII9p03ciRI7PHa9asiU2bNu1Us3DhwuQ1LRk1alSLfQAAAAAAAADYe+R0x4KIaPRr+vbo2rVrDB06NI4++ug47bTTYsiQIR08We7MnDkz/vKXv8Trr78eGzdujO7du0fv3r1j+PDhMXbs2Pinf/qnKCkpaVOvJUuWZI/LysraHLxouoPA4sWLdwoELF68uMVrUgYOHLhTn3HjxrXpWgAAAAAAAAD2rJwGC6ZPn97ua7p06RI9evRo84P196KXX3650Xrbtm2xadOmWLZsWTzzzDNxxx13xEUXXRRnn312q71WrFiRPe7fv3+bZzjggAMarZcvX75TsGDH3vn5+VFWVtam3mVlZZGfnx8NDQ3Z3gAAAAAAAADsnXIaLBgwYEAub79X69q1a/Tq1Svy8vLi7bffjtra2uxnGzdujJtuuinmzp0bd9xxR3Tpkv5rrKqqyh737NmzzfdvWrt58+YWe/fo0aPFOXZUWFgY3bt3z/ZsrjcAAAAAAAAAe4ecvwqB/+/oo4+Ok08+OcaOHRuDBg2K/Pz8iIior6+Pv/3tb/Gb3/wmHn300aivr4+IiGeffTa+973vxQ033JDsWV1dnT3u2rVrm2fp1q1bss/u9t7ef3ugoLnee9KiRYuyf9a5dPjhh7f5VRUAuVJbWxsLFizI9Rh7Nf+eA+8F/j0HAAAAeP/avnN8RxIs2Evcdddd0adPn2Y/KygoiBEjRsSIESNi/PjxMXny5OxuAb/+9a9j/PjxceSRRzZ7bU1NTfa4sLCwzfM0fSCydevWDuvdtH9zvfek+vr6bFgDgNZt27Yt1yMA0AH8ew4AAABAWwkW7CVSoYKmPvaxj8Utt9wSF198cfbc1KlTY9q0ac3Wd+3aNbZs2RIR7fs/Dnd89ULEzjsYbO+9XXv/T8kd+zfXe08qKCjYK3YsAHivaG+YDIC9k3/PAQAAAN6fGhoaOvyH1Xt1sKCysjLWr18fGzdujIiIXr16RZ8+faKsrCzHk+XWuHHjYtSoUTFv3ryIiPif//mf2Lp1a7MP6IuLi7PBgh13GGhN010EiouLm+29XXt6N+3fXO896dBDD42SkpKczgDwXlFUVBQjRozI9RgA7Cb/ngMAAAC8f1VVVUVFRUWH9tyrggUNDQ3x/PPPxxNPPBHz5s2L9evXN1vXp0+fGDlyZJx66qkxbty4D+SvzceNG5cNFtTW1sZrr70Wo0eP3qmupKQk1q1bFxERmzZtanP/prU9evRotvd21dXVUVdXF126tP6fVF1dXTbskOoNAAAAAAAAwN5hrwkWzJw5M77zne/E6tWrIyIik8kka9etWxcvvPBCvPDCC3HAAQfEDTfcEMcee+yeGnWvMHjw4EbrVAjjwAMPjGXLlkVExKpVq9rcf/vfw3YDBw5stvd29fX1UVlZGQMGDGi195o1a6KhoaHF3gAAAAAAAADsHfaKn/rfddddcd5558WqVauygYK8vLxk/fbPMplMrFq1Ks4///y4884798ise4umrz1o+uqC7Q455JDscWVlZdTW1rap/xtvvJHskzrX9JqU5cuXt9obAAAAAAAAgL1Dzncs+OlPfxr33ntvRDQODPTs2TM+9KEPxcEHHxylpaUREfHOO+/E0qVL429/+1ts2rSpUf1PfvKTKCkpifPOOy83X2QPe+uttxqte/fu3WzdsGHDssd1dXUxf/78OPLII1vt//LLL2ePy8rKolevXi323n7N2LFjW+29/RUO2w0dOrTVawAAAAAAAADIjZwGCxYvXhx33nlno4DA8OHD45JLLonjjz8+unRpfrz6+vr47//+7/jxj38cr732WuTl5UUmk4m77rorTjjhhBgyZMie/Bo5MXfu3Ebr1CsImr4iYtasWa0GCzZv3twoWHD88cc3Wzdo0KAYNGhQ9lULs2bNismTJ7c2esyaNSt7PHjw4Bg0aFCr1wAAAAAAAACQGzl9FcJdd90VdXV12dcffP3rX49HHnkkTjzxxGSoICKioKAgTjzxxHjkkUdi0qRJkclkIi8vL+rr6+Ouu+7aU+PnzIYNG+Kpp57Krvv37x+DBw9utnb//fePj3zkI9n1o48+GvX19S32f/rpp2PLli3Z9Yknnpis3fGzOXPmxNKlS1vsvXTp0pgzZ052fcIJJ7RYDwAAAAAAAEBu5SxYsHXr1pgxY0bk5eVFXl5enHrqqXHllVdGfn7bR8rLy4vLL788TjvttMhkMpHJZGLGjBmxdevWTpy847Vn3oaGhvjXf/3XqKqqyp4bP358i9dMnDgxe7xq1aq4//77k7VVVVVxzz33ZNeDBw/eadeDHX31q1+NwsLCiHh3x4lbbrmlxVluvvnm7HFhYWGceeaZLdYDAAAAAAAAkFs5CxaUl5dHTU1NZDKZKCgoiCuuuGKXe11++eXZHQ5qa2ujvLy8o8bcI7785S/H3XffHatWrWqxbuXKlXHeeefF9OnTs+f69OkT5557bovXjR8/Pg499NDs+o477ojf//73O9VVVVXFxRdfHJWVldlzl156aRQUFCR7H3TQQXH66adn1y+88ELcdttt2V0otstkMnHrrbfGH/7wh+y5CRMmxMCBA1ucHQAAAAAA+H/s3Xl0ldXZP+47AwFCAAUhzOCIEygozmirOFscWtTaYm2rdR7rUL/1ra21WivWOr3OraJWLa3z1KqtU7Eqg4paUQRFpjCJzCQk+f3hz/PmhGySQOAwXNdarvXsc/a+zx11ncB5PmdvAMit9HkDa9j06dMj4qtdB/r27Rvt2rVb5Vrt2rWLvn37xpgxY7JqN7Xhw4fHfffdt8Ljc+bMyRofeOCBK8zp1KlTnWsjIhYsWBC33HJL/O///m9sv/32seOOO0bPnj2jTZs2ERExe/bsGDt2bPz73/+O5cuXZ9Y1b948brnllmjduvVK+87Pz49hw4bFCSecEIsXL47y8vI4++yzY5999om99torSkpKYtKkSfHYY4/FF198kVl35JFHxmGHHbbS2hERF198cYwePTomTJgQERF33XVXvPTSS3HooYdGaWlplJWVxdNPPx0TJ07MrNl6663joosuqrc2AAAAAAAAALmVs2BBzRvYnTt3Xu16NWvUrN2Uvvzyy5g8eXK98+qaU1lZWe+66urqeP/99+P999+vd27Xrl1j2LBh0b9//3rnRkRst912ccMNN8QFF1wQCxYsiIiI1157LV577bU65++///5x5ZVXNqh2SUlJ3H777XHKKadkwgMTJkzIOlKhpi222CJuu+22KCkpaVB9AAAAAAAAAHInZ0chtGjRInO9aNGi1a5Xs0bN2uuD448/Pvr16xfNmjWrd27Pnj3jkksuiSeeeKLBoYKv7bvvvvHEE0/EwQcfnHyt7t27xxVXXBG33nprFBUVNbh2t27d4tFHH40f/ehH0bZt2zrntG3bNn70ox/Fo48+Gt26dWtU7wAAAAAAAADkRs52LNhss80i4qtv6X/wwQerXe+///3vCrWb2tlnnx1nn312k9f9yU9+Ej/5yU+ivLw8Pvnkk5g8eXLMnDkzFi1aFHl5eVFSUhIdOnSIvn37RqdOnVbrtbp06RI33nhjzJs3L0aNGhUzZsyIxYsXR8eOHWOLLbaIvn37rnLtFi1axCWXXBLnn39+vPXWWzF16tT44osvYtNNN42uXbvGgAEDGhVWAAAAAAAAACD3chYs2GGHHSIiIi8vL2bNmhXPP/98HHjggatU64UXXoiysrLMePvtt2+SHte2oqKi2G677WK77bZb46+1ySabxKBBg9ZI7aKioth7773XSG0AAAAAAAAA1q6cHYXQs2fP6NmzZ0R8tWvBr371q5g8eXKj63z++edxxRVXRF5eXkRE9OjRI3r16tWUrQIAAAAAAADARitnwYKIiJNOOimqq6sjLy8vZs+eHd/97nfjueeea/D6F154IU444YSYNWtWps4PfvCDNdgxAAAAAAAAAGxccnYUQkTEcccdFw8//HCMHz8+8vLyYs6cOXH++efHLbfcEocddljstNNO0bNnzygpKYmIiIULF8bkyZPjnXfeiWeeeSY+/vjjTKAgLy8vttlmmzj++ONz+SMBAAAAAAAAwAYlp8GC/Pz8uP322+O73/1uTJs2LfLy8qK6ujo+/vjjuPHGG1e6trq6OiIis6ZLly5xxx13RH5+TjdhAAAAAAAAAIANSs7vwpeWlsaDDz4Yu+++e9buAxFfhQfq+icisuYMGDAgHnjggSgtLc3ZzwEAAAAAAAAAG6Kc7ljwtdLS0rj33nvj8ccfj/vvvz/GjRu30vlfhwt22GGHGDp0aBx55JGZoAEAAAAAAAAA0HTWiWDB14488sg48sgj49NPP42xY8fG+++/H3Pnzo358+dHRESbNm2iXbt2scMOO0S/fv2iV69euW0YAAAAAAAAADZw61Sw4Gu9evWKXr16xdFHH53rVgAAAAAAAABgo5af6wYAAAAAAAAAgHWXYAEAAAAAAAAAkJTToxBmzJgRf/rTnzLjU089Ndq1a9eoGnPmzIk77rgjMz7llFNis802a7IeAQAAAAAAAGBjltNgwYMPPhj33ntv5OXlRZ8+fRodKoiIaN++fYwZMybee++9iIho06ZNnHnmmU3dKgAAAAAAAABslHJ6FMJzzz2XuT7uuONWuc5xxx0X1dXVUV1dHU8//XRTtAYAAAAAAAAARA6DBdOmTYvPPvssIiLy8vLiwAMPXOVaBx54YOTnf/WjTJo0KcrKypqkRwAAAAAAAADY2OUsWPDhhx9GxFehgl69ekWbNm1WuVbbtm2jV69eK9QGAAAAAAAAAFZPzoIFU6dOzVz37NlztevVrDFlypTVrgcAAAAAAAAA5DBYsGjRosx1SUnJaterWaNmbQAAAAAAAABg1eUsWNCyZcvM9YIFC1a73sKFCzPXhYWFq10PAAAAAAAAAMhhsKBdu3aZ68mTJ692vZo1atYGAAAAAAAAAFZdzoIFPXv2jIiI6urqmDRpUkydOnWVa02dOjU++eSTzLhr166r3R8AAAAAAAAAkMNgwY477hitW7eOvLy8iIi47bbbVrnW7bffnrlu2bJl9OvXb7X7AwAAAAAAAAByGCzIz8+PAw44IKqrq6O6ujr+9re/xTPPPNPoOs8880yMGDEi8vLyIi8vL775zW9GYWHhGugYAAAAAAAAADY+OQsWREScccYZUVhYGHl5eVFVVRUXX3xx3HLLLbF8+fJ611ZWVsatt94aF198cUR8daRCfn5+nHHGGWu6bQAAAAAAAADYaOT0q/09evSIk08+OW677bbIy8uL5cuXx8033xwPPvhgHHXUUbHrrrvGlltumTkyYf78+TFx4sQYNWpUPPbYYzF79uyorq7O7Fbwox/9KLbccstc/kgAAAAAAAAAsEHJ+ZkB5513XkycODH+8Y9/RF5eXlRXV8fs2bPj7rvvjrvvvju5rrq6OiIis+bggw+On/70p2urbQAAAAAAAADYKOT0KISv/eEPf4hTTz01M87Ly4uIr8IDdf1Tc05ExGmnnRbXX3/92m0aAAAAAAAAADYC60SwID8/P84///x4+OGH44ADDoiI/9uRoC5fH39w0EEHxYgRI+K8886L/Px14kcBAAAAAAAAgA1Kzo9CqKlv375xyy23xNy5c+PNN9+Md955J2bPnh3z5s2LiIi2bdtGhw4dYuedd44BAwZEu3btctswAAAAAAAAAGzg1qlgwdfatWsXhxxySBxyyCG5bgUAAAAAAAAANmrODwAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgKTCXDdA2kcffRTjx4+PsrKyKCoqitLS0ujXr1907NhxtWvPnDkzxo4dG2VlZVFeXh6lpaWx7bbbxtZbb73atRcvXhxvvfVWTJ8+PebPnx+bbbZZ9OjRI/r37x/5+bIsAAAAAAAAAOsTwYJGKi8vj/Hjx8d7770X48aNi3HjxsUnn3wSlZWVmTnjx49frdd44YUX4qabbooPP/xwhecKCgpizz33jJ/97GerFAL4+OOP47e//W28/vrrWT1/bdttt42zzz47Bg0a1OjaX375ZVx77bXx9NNPx+LFi1d4vmPHjjF06ND48Y9/HAUFBY2uDwAAAAAAAMDaJ1jQCN/5znfiww8/jIqKijX2GldccUU88MADyecrKyvjtddei29/+9txxRVXxFFHHdXg2o899lj84he/iGXLliXnfPjhh3HmmWfG97///fif//mfBtf+4IMP4vTTT48ZM2Yk58ycOTOuu+66+Ne//hW33357tGnTpsH1AQAAAAAAAMgNwYJGGDdu3Bqtf9NNN2WFCoqLi2Pw4MHRu3fvWLZsWYwaNSr++c9/RlVVVSxbtix+/vOfR2lpaey555711h45cmT8/Oc/j+XLl0dERH5+fgwaNCh22WWXaNasWYwfPz6efPLJzE4D999/f2y66aZx1lln1Vu7rKwsTj311Jg5c2bmsb59+8agQYNi0003jSlTpsQTTzwR06dPj4iIMWPGxLnnnht33nlnFBb6XxAAAAAAAABgXZZXXV1dnesm1he9e/fOXJeUlMT2228fffr0iTFjxsTYsWMzz63KUQjvvPNOHHvssVmvdeedd0ZpaWnWvFGjRsXpp58e8+fPj4iI9u3bx/PPPx+tWrVK1l60aFEceOCBMWfOnIiIaNOmTdx6662x6667Zs0rKyuLk08+OT766KPMYyNGjIi+ffuutPdTTjklXnnllYiIyMvLi5///OcxdOjQrDnl5eVx6aWXxlNPPZV57KKLLoqTTz55pbXXhIULF2b9N+rdu3eUlJSs9T5Spi9ZHns/93mu2wDI8u9DukfnlsJgjbF82fSYMmavXLcBkKVb/5FR2LxzrtsAAAAAYA1aE/dD81e3qY3J0KFD45prrolnnnkmRo0aFffdd19cfPHF0atXr9Wuff3112eui4uL47bbblshVBARseuuu8aVV16ZGc+ZMyeGDx++0tr33ntvJlQQEfGb3/xmhVBBRERpaWncdtttUVxcXGdfdRk1alQmVBAR8f3vf3+FUEFERFFRUVxzzTWx3XbbZR678847Y+HChSutDwAAAAAAAEBuCRY0wmWXXRZHHXVUbLnllpGXl9dkdSdMmBCvv/56ZnziiSdGly5dkvMPPvjg6N+/f2Z8//33R1VVVZ1zq6qqso5X6N+/fxx00EHJ2l27do0TTzwxMx45cmRMmDAhOf++++7LXLds2TLOPffc5NzCwsK4+OKLM+N58+bF448/npwPAAAAAAAAQO4JFqwDXnjhhazxkCFD6l3zne98J3M9e/bseOedd+qc9/bbb8fs2bNXuXZExIsvvljnvPLy8qzdCg455JBo3br1Smvvueee0bVr18z4n//8Z739AAAAAAAAAJA7ggXrgJdffjlz3bNnz+jWrVu9a/bee+9kjZU9XntdXbp37x49evSot/aoUaNi8eLFmfFee9V/jnReXl7sueeemfEbb7wRS5curXcdAAAAAAAAALkhWLAO+OijjzLXO+20U4PWdOrUKTp16lRnjVTtTp06RWlpaYPq77zzzo2qXXtNQ2tXVFTEpEmTGrQOAAAAAAAAgLVPsCDHysrKYuHChZlxz549G7y25q4Cn3zySZ1zJk6cWOf8xtResGBBzJw5c4U5NV+zsLAw64iDhtauXQcAAAAAAACAdYtgQY5NmTIla9y5c+cGr625Y8HUqVPrrd+lS5dVqh0R8fnnn6+0dseOHaOgoKBBtWv/jHXVBgAAAAAAAGDdIFiQYzV3K4iIaNu2bYPX1pxbUVERy5Yty3p+6dKlsXz58sy4TZs2q1Q7ImLRokUrzKnZe2Nq155bV20AAAAAAAAA1g2FuW5gY7d48eKscVFRUYPXNm/ePGu8aNGirMdq1649vzG1a9eq/Vhjardo0aLe2mvThAkTIj8/9xmbbbfdtlH//QFyoby8PD788MNct7FO834OrA+8nwMAAABsuKqqqpq8pmBBjtXeZaBZs2YNXlv7pkXtWk1Ze+nSpSvMqVm/qWuvTZWVlVFZWZnTHgDWJxUVFbluAYAm4P0cAAAAgIYSLMix2t/0b8yHe+Xl5Sut1ZS1a+8yULt+U9demwoKCtaJHQsA1heNCZMBsO7yfg4AAACwYaqqqmryL1YLFuRYcXFx1rj2TfeVqb0jQatWrVZau/b8xtSuXav2Y42pXXuHgrpqr01bbbVVlJSU5LQHgPVFUVFR9O3bN9dtALCavJ8DAAAAbLgWLlwY48ePb9KavqadY7VvaH/55ZcNXjt//vzMdbNmzVbYoaBFixZRWFhY5/zG1I5YMbQQkd17Y2ovWLCg3toAAAAAAAAArBsEC3KsW7duWePp06c3eG3NuV27dq23/rRp01apdkRE9+7dV1p75syZDd5Oo3YfddUGAAAAAAAAYN0gWJBjpaWlWd/8nzx5coPX1py7xRZb1Dln8803z1x//vnnq1S7devW0bFjxxXm1HzN5cuXNzi4UPtnTPUOAAAAAAAAQO4JFqwDttlmm8z122+/3aA1M2bMiBkzZtRZo6bevXtnrqdPnx5lZWUNql+zj6233rre2hERY8eObXTtZs2aZYUfAAAAAAAAAFi3CBasA/bdd9/M9WeffRZTpkypd82///3vrPF+++1Xb+261tXl888/z9pVIFV71113jeLi4sx45MiR9daurq6O119/PTPebbfdomXLlvWuAwAAAAAAACA3BAvWAYMGDcoajxgxot41f/3rXzPX7du3j5133rnOef369Yv27duvcu2IiAMOOKDOeUVFRTFw4MDM+LnnnosFCxastPbrr78eU6dOrbc2AAAAAAAAAOsGwYJ1wNZbbx277757Zjx8+PCYNm1acv7f//73GDNmTGb8ve99L/Lz6/5PmZ+fHyeccEJmPGbMmHj++eeTtadOnRrDhw/PjPfYY4/kUQgREUOHDs1cL1myJG644Ybk3OXLl8e1116bGW+yySYxePDg5HwAAAAAAAAAck+wYB1xwQUXZK4XL14cp59+esycOXOFeaNGjYrLLrssM27Xrl2cdNJJK6190kknxaabbpoZ//znP4/Ro0evMK+srCxOP/30WLx4ceax888/f6W1BwwYEPvss09mfP/998f999+/wrzy8vK45JJL4oMPPsg89uMf/zhat2690voAAAAAAAAA5FZedXV1da6bWF8MHz487rvvvhUenzNnTixatCgz7tGjxwpzOnXqVOfamq6//vq47bbbMuNWrVrFkUceGdtss00sW7YsRo0aFS+++GJUVVVFRERBQUHcfvvtWccRpLz66qtx6qmnRmVlZWbtoEGDon///lFUVBTjx4+PJ554IitUcPrpp8d5551Xb+3p06fHkCFDYtasWZnHdtpppxg0aFBsuummMWXKlHj88cdj+vTpmef32GOPuOuuu6JZs2b11m9qCxcujPHjx2fGvXv3jpKSkrXeR8r0Jctj7+c+z3UbAFn+fUj36NyyMNdtrFeWL5seU8bsles2ALJ06z8yCpt3znUbAAAAAKxBa+J+qDsEjfDll1/G5MmT651X15yvb+ivzHnnnRfz5s2Lhx56KCIiFi1aFH/+85/rnFtUVBS/+tWvGhQqiIgYOHBgXHnllXH55ZdHeXl5VFZWxt///vf4+9//Xuf8448/Ps4999wG1e7cuXPcdtttWbssvPPOO/HOO+/UOb9fv35x44035iRUAAAAAAAAAEDjOAphHZKXlxe/+tWv4uabb45tttmmzjn5+fmx9957x9/+9rc45phjGlX/mGOOib/97W+x9957R35+3f/pt9lmm7j55pvjV7/6VeTl5TW49o477hhPPvlkfPvb347i4uI653To0CEuuOCCeOCBB6Jt27aN6h0AAAAAAACA3HAUwjps/PjxMX78+Jg5c2Y0a9YsSktLo1+/flFaWrratcvKymLs2LFRVlYWFRUV0bFjx+jdu3f07t17tWsvWrQo3nrrrZg+fXrMnz8/2rdvHz179oz+/ftHQUHBatdfXY5CAGg8RyE0nqMQgHWRoxAAAAAANnyOQtjINNWN/rqUlpbGIYccskZqt2rVKr7xjW+skdoAAAAAAAAArF2OQgAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIKkw1w2QG59//nmMGzcuysrKIiKitLQ0+vTpE927d1/t2l9++WW89dZbUVZWFosWLYqOHTvGlltuGX369Fnt2gAAAAAAAACsXYIF65DevXuv0rpnnnkmttxyywbNHTVqVAwbNizGjh1b5/P9+vWLCy+8MHbddddG9zF9+vT47W9/Gy+++GJUVFSs8HzPnj3jlFNOiSFDhjS6NgAAAAAAAAC54SiEjcgdd9wRQ4cOTYYKIiLGjh0bJ554Ytxxxx2Nqv3aa6/F4MGD47nnnqszVBAR8dlnn8Vll10WZ511VpSXlzeqPgAAAAAAAAC5YceCdVTHjh2jRYsWDZpbVFRU75xHHnkkrrvuusy4WbNmcfjhh0efPn2iqqoqxo0bF88++2xUVFREZWVlXHfdddGhQ4c4+uij6609fvz4OOecc2LRokWZx/bee+/Yc889o3Xr1jFx4sR4/PHHY968eRER8fzzz8fll18eV199dYN+PgAAAAAAAAByR7BgHTVs2LDYfffdm6TWtGnT4vLLL8+MO3fuHHffffcKxyeceuqpcfLJJ8f06dMjIuIXv/hF7LHHHtG5c+dk7aqqqrjwwgszoYKioqIYNmxYHHzwwVnzzjnnnDjjjDPijTfeiIivgg777rtvHHrooU3yMwIAAAAAAACwZjgKYSNwyy23ZI4eKCgoiBtvvHGFUEFExFZbbRU33nhjFBQUREREeXl53HLLLSut/eSTT8ZHH32UGV9wwQUrhAoiIkpKSuKWW26J0tLSzGM33nhjVFZWrtLPBAAAAAAAAMDaIViwgZs/f348/vjjmfFhhx0Wffv2Tc7v27dvHHbYYZnxY489FgsWLEjOv++++zLXXbp0iRNPPDE5t3Xr1nH22WdnxhMnTozXXnut3p8BAAAAAAAAgNwRLNjAvfzyy1FRUZEZDxkypN413/nOdzLXFRUV8fLLL9c5r6ysLN57773M+JhjjsnsdpBy2GGHRcuWLTPjF198sd5+AAAAAAAAAMgdwYINXM1QQIsWLWKXXXapd80uu+wSLVq0qLNGTa+88kpUV1dnxnvttVe9tVu1ahU777xzvbUBAAAAAAAAWDcIFmzgPvroo8z1DjvsEIWFhfWuadasWeywww511qhp/PjxmevCwsLo06dPg3qqGSyYMWNGzJ8/v0HrAAAAAAAAAFj76r/LTE7ce++98bvf/S6mTJkSixYtipKSkujQoUPsvPPOse+++8YBBxwQ+fkrz4VUVVXFp59+mhn37Nmzwa/fo0ePGD16dERETJo0KaqqqlZ4vYkTJ2auS0tLo6ioqMG1a/rkk0+iX79+De4NAAAAAAAAgLXHjgXrqBdffDHee++9mDdvXlRUVMQXX3wRH330UfzlL3+Js846Kw499NB47bXXVlpj1qxZsWzZssy4c+fODX79Tp06Za6XLVsWs2bNWmHOlClTMtddunRpcO3afXz++ecNXgsAAAAAAADA2iVYsA5r1apVdOnSJdq3bx8FBQVZz3366adxyimnxB//+Mfk+oULF2aN27Rp0+DXbtu27Upr1X6sMbVrz120aFGD1wIAAAAAAACwdjkKYR1SVFQUBx10UBxwwAGxyy67RGlpaea5xYsXx1tvvRX33HNPjBw5MiK+OurgmmuuidLS0jj88MNXqFf7hn3z5s0b3EvtuYsXL15hTs3HGlO7RYsW9dZemyZMmFDvsRJrw7bbbtvg4yQAcqW8vDw+/PDDXLexTvN+DqwPvJ8DAAAAbLiqqqqavKZgwTrk5Zdfjnbt2tX5XHFxcey3336x3377xT333BNXX3115rkrrrgi9ttvvygpKclaU15enjVu1qxZg3upfUOk5pEKdT22OrWXLl3a4LVrQmVlZVRWVua0B4D1SUVFRa5bAKAJeD8HAAAAoKEEC9YhqVBBbSeddFJMnTo1hg8fHhER8+bNiwcffDBOOeWUrHm1b+A35oPD2qGEunYkaN68eSxZsmS1a9fewWBtKygoWCd2LABYXzQmTAbAusv7OQAAAMCGqaqqqsm/WC1YsJ4666yz4q9//WvmGIGXXnpphWBBq1atssZ17TqQUntucXHxCnOKi4szwYLG1K69Q0FdtdemrbbaaoXdHgCoW1FRUfTt2zfXbQCwmryfAwAAAGy4Fi5cGOPHj2/Smr6mvZ5q27ZtDBgwIDN+5513VphT+2b5/PnzG1y/9ty6brzXfGx1atcOQAAAAAAAAACw7hAsWI/17Nkzc11RUbHCDfsOHTpkHWEwffr0BteuObd58+bRoUOHFeZ069Ytcz1t2rRVqh0R0b179wavBQAAAAAAAGDtEixYj7Vs2TJrXPuIgfz8/KzwweTJkxtcu+bcXr16RX7+iv+rbLHFFpnrsrKyKC8vb3Tt2nUAAAAAAAAAWLcIFqzHZs+enTXeZJNNVpjTu3fvzPX7778fy5cvr7duRUVFvP/++5nxNttsU+e8mrWXL18e48aNq7d2RMTbb7+duS4tLY22bds2aB0AAAAAAAAAa59gwXpszJgxmeuOHTtGUVHRCnP23XffzPWSJUti9OjR9dYdPXp01u4H++23X53zBg4cmDUeOXJkvbUXLVqUFSxI1QYAAAAAAABg3SBYsJ56/fXXY9KkSZnxXnvtVee8b3zjG1FYWJgZjxgxot7af/3rXzPXzZo1S97879SpU+y4446Z8SOPPBKVlZUrrf3MM8/EkiVLMuMDDjig3n4AAAAAAAAAyB3BgnVARUVFg44o+NrcuXPjsssuy3rsyCOPrHNumzZtYvDgwZnxM888E++++26y9rvvvhvPPPNMZjx48OBo06ZNcv7QoUMz19OmTYvhw4cn5y5cuDBuuummzLhXr14r7HoAAAAAAAAAwLpFsGAdUFZWFoceemiMGDEiFixYsNK5o0ePjuOOOy6mTJmSeWzvvfdO7lgQEXHWWWdFs2bNIiKisrIyzj333Pjkk09WmDdhwoQ455xzMrsONGvWLM4666yV9jN48ODYaqutMuPf//738Y9//GOFeQsXLowzzzwzysrKMo+de+65UVBQsNL6AAAAAAAAAORWYf1TWBsmT54cl112WVxxxRXRv3//2G677aJz585RUlIS5eXlMX369Hj99ddX2G2gR48eMWzYsJXW7tq1a1x++eWZXQ6mTZsWRx11VBx++OGZowzGjRsXTz/9dFRUVGTWXX755dGlS5eV1s7Pz49hw4bFCSecEIsXL47y8vI4++yzY5999om99torSkpKYtKkSfHYY4/FF198kVl35JFHxmGHHdaof0cAAAAAAAAArH2CBeuY8vLy+M9//hP/+c9/6p27++67x7XXXhvt2rWrd+6QIUNi9uzZceONN0ZVVVWUl5fHo48+Go8++ugKc/Pz8+Pcc8+NIUOGNKjn7bbbLm644Ya44IILMjsuvPbaa/Haa6/VOX///fePK6+8skG1AQAAAAAAAMgtRyGsAzbZZJM44YQTYsstt4y8vLyVzs3Ly4v+/fvH9ddfH/fcc0+UlpY2+HVOP/30GD58eOy8887JOf369Yvhw4fHaaed1uC6ERH77rtvPPHEE3HwwQdnjl2orXv37nHFFVfErbfeGkVFRY2qDwAAAAAAAEBu2LFgHVBSUhKXX355REQsXLgwPvroo5gyZUrMmTMnlixZEs2aNYs2bdpEly5dYqeddoo2bdqs8msNGDAgHn744Zg8eXKMGzcuysrKIiKitLQ0+vTpEz169Fjl2l26dIkbb7wx5s2bF6NGjYoZM2bE4sWLo2PHjrHFFltE3759V7k2AAAAAAAAALkhWLCOKSkpif79+0f//v3X6Ov06NFjtUIEK7PJJpvEoEGD1khtAAAAAAAAANYuRyEAAAAAAAAAAEmCBQAAAAAAAABAkmABAAAAAAAAAJAkWAAAAAAAAAAAJAkWAAAAAAAAAABJggUAAAAAAAAAQJJgAQAAAAAAAACQJFgAAAAAAAAAACQJFgAAAAAAAAAASYIFAAAAAAAAAECSYAEAAAAAAAAAkCRYAAAAAAAAAAAkCRYAAAAAAAAAAEmCBQAAAAAAAABAkmABAAAAAAAAAJAkWAAAAAAAAAAAJAkWAAAAAAAAAABJggUAAAAAAAAAQJJgAQAAAAAAAACQJFgAAAAAAAAAACQJFgAAAAAAAAAASYIFAAAAAAAAAECSYAEAAAAAAAAAkCRYAAAAAAAAAAAkCRYAAAAAAAAAAEmCBQAAAAAAAABAkmABAAAAAAAAAJAkWAAAAAAAAAAAJAkWAAAAAAAAAABJggUAAAAAAAAAQJJgAQAAAAAAAACQJFgAAAAAAAAAACQJFgAAAAAAAAAASYIFAAAAAAAAAECSYAEAAAAAAAAAkCRYAAAAAAAAAAAkCRYAAAAAAAAAAEmCBQAAAAAAAABAkmABAAAAAAAAAJAkWAAAAAAAAAAAJAkWAAAAAAAAAABJggUAAAAAAAAAQJJgAQAAAAAAAACQJFgAAAAAAAAAACQJFgAAAAAAAAAASYIFAAAAAAAAAECSYAEAAAAAAAAAkCRYAAAAAAAAAAAkCRYAAAAAAAAAAEmCBQAAAAAAAABAkmABAAAAAAAAAJAkWAAAAAAAAAAAJAkWAAAAAAAAAABJggUAAAAAAAAAQJJgAQAAAAAAAACQJFgAAAAAAAAAACQJFgAAAAAAAAAASYIFAAAAAAAAAECSYAEAAAAAAAAAkCRYAAAAAAAAAAAkCRYAAAAAAAAAAEmCBQAAAAAAAABAkmABAAAAAAAAAJAkWAAAAAAAAAAAJAkWAAAAAAAAAABJggUAAAAAAAAAQJJgAQAAAAAAAACQJFgAAAAAAAAAACQJFgAAAAAAAAAASYIFAAAAAAAAAECSYAEAAAAAAAAAkCRYAAAAAAAAAAAkCRYAAAAAAAAAAEmCBQAAAAAAAABAkmABAAAAAAAAAJAkWAAAAAAAAAAAJAkWAAAAAAAAAABJggUAAAAAAAAAQJJgAQAAAAAAAACQJFgAAAAAAAAAACQJFgAAAAAAAAAASYIFAAAAAAAAAECSYAEAAAAAAAAAkCRYAAAAAAAAAAAkCRYAAAAAAAAAAEmCBQAAAAAAAABAkmABAAAAAAAAAJAkWAAAAAAAAAAAJAkWAAAAAAAAAABJggUAAAAAAAAAQJJgAQAAAAAAAACQJFgAAAAAAAAAACQJFgAAAAAAAAAASYIFAAAAAAAAAECSYAEAAAAAAAAAkCRYAAAAAAAAAAAkCRYAAAAAAAAAAEmCBQAAAAAAAABAkmABAAAAAAAAAJAkWAAAAAAAAAAAJAkWAAAAAAAAAABJggUAAAAAAAAAQJJgAQAAAAAAAACQJFgAAAAAAAAAACQJFgAAAAAAAAAASYIFAAAAAAAAAECSYAEAAAAAAAAAkCRYAAAAAAAAAAAkFea6AQAAAACANam6sioqZ87PdRsAWQo6tom8At//BGD9IFgAAAAAAGzQKmfOjyl7/TrXbQBk6Tbyf6Kw8ya5bgMAGkQUDgAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACBJsAAAAAAAAAAASBIsAAAAAAAAAACSBAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIKsx1AwAAALCuqq6qjMoFM3PdBkCWgtYdIy+/INdtAAAAGxHBAgAAAEioXDAzpvx+r1y3AZCl2wUjo7Bt51y3AQAAbEQchQAAAAAAAAAAJAkWAAAAAAAAAABJggUAAAAAAAAAQJJgAQAAAAAAAACQJFgAAAAAAAAAACQJFgAAAAAAAAAASYIFAAAAAAAAAECSYAEAAAAAAAAAkCRYAAAAAAAAAAAkCRYAAAAAAAAAAEmCBQAAAAAAAABAkmABAAAAAAAAAJAkWAAAAAAAAAAAJAkWAAAAAAAAAABJggUAAAAAAAAAQJJgAQAAAAAAAACQJFgAAAAAAAAAACQJFgAAAAAAAAAASYIFAAAAAAAAAECSYAEAAAAAAAAAkCRYAAAAAAAAAAAkCRYAAAAAAAAAAEmFuW6ADU9VVVWMGTMmJk+eHLNnz442bdpE586dY8CAAVFcXJzr9gAAAAAAAABoBMECmkxlZWXcfffdcd9998XMmTNXeL64uDgOP/zwuOiii6Jt27Y56BAAAAAAAACAxnIUAk1i/vz58f3vfz+uu+66OkMFERGLFy+OESNGxODBg+ODDz5Yyx0CAAAAAAAAsCrsWMBqW758eZx77rkxZsyYzGNdunSJwYMHR9euXWPu3LnxwgsvxLhx4yIiYsaMGXHaaafFiBEjorS0NFdtAwAAAAAAANAAggWstj/96U8xcuTIzPiII46Iq6++OoqKijKPnXbaaTF8+PC46qqrorq6OsrKyuJ//ud/4o477shFywAAAAAAAAA0kGABq2XhwoVx1113Zcbbb799XHPNNVFYuOL/WieeeGJ89tlncf/990dExMsvvxyjR4+OXXbZZa31CwAAAAAArJ+qqitjSWXdxzED5ErLgo6Rn1eQ6zbWOMECVsvjjz8e8+bNy4wvuuiiOkMFXzvvvPPib3/7WyxZsiQiIoYPHy5YAAAAAAAA1GtJ5cx4ZMo+uW4DIMsx3V6LVoWdc93GGpef6wZYv7344ouZ665du8aee+650vmtW7eOgw8+ODN+9dVXo7y8fI31BwAAAAAAAMDqESxglS1dujTefPPNzHivvfaKvLy8etfttddemetFixbF6NGj10h/AAAAAAAAAKw+wQJW2cSJE6OioiIz3mmnnRq0rl+/flnj8ePHN2lfAAAAAAAAADQdwQJW2SeffJI17tmzZ4PWde3aNQoKCjLjiRMnNmlfAAAAAAAAADQdwQJW2ZQpU7LGnTt3btC6goKC6NChQ2b8+eefN2lfAAAAAAAAADSdwlw3wPpr4cKFWeO2bds2eG2bNm1ixowZERGxaNGiJu2rPpWVlVnjxYsXr9XXr8+yZctj2+YV9U8EWIuWLV4YCyv9saExlpcvi4q8bXPdBkCWhYuWRWHFwvonkrF8ybKoaOf9HFi3LFyyLAoLvJ83xvJlS6Ji2w71TwRYixYuWxKFC33e0hhLli+LlhW9c90GQJbFC5dFdeG69efz2vc/a98fXRV+Y7HKav8P2bx58wavbdGiRbLOmrZs2bKs8bq4Y8KvS3PdAUC2OZ8uiDm5bmJ91OzKXHcAkGX+pDkR3tEbbx/v58C6Zf5U7+er5MoDc90BQJb5c6Z5O18Fm8evc90CQJbJ89f9P5/Xvj+6KhyFwCqr/T9gs2bNGry2qKgoc7106dIm6wkAAAAAAACApiVYwCqrvUNBRUXDt+8vLy/PXNfcvQAAAAAAAACAdYujEFhlxcXFWeNly5Y1+DiEmrsU1K6zpm2yySZZ4+bNm0dBQcFa7QEAAAAAAABgTaisrMzafb72/dFVIVjAKispKckaf/nll9GmTZsGrV2wYEHmulWrVk3aV32KioqiY8eOa/U1AQAAAAAAANZXjkJglXXr1i1rPH369Aatq6ysjJkzZ2bG3bt3b9K+AAAAAAAAAGg6ggWssi222CJrPHny5Aatmzp1alRWVibrAAAAAAAAALDuECxglW2xxRbRrFmzzPjtt99u0LqxY8dmjbfZZpumbAsAAAAAAACAJiRYwCpr2bJlDBgwIDN+/fXXo7q6ut51I0eOzFwXFxfHrrvuukb6AwAAAAAAAGD1CRawWgYNGpS5njJlSrz++usrnb9gwYL4+9//nhkPHDgwioqK1lh/AAAAAAAAAKwewQJWy+DBg6Nt27aZ8bBhw2L58uXJ+X/4wx9iyZIlmfGJJ564RvsDAAAAAAAAYPUIFrBaWrduHSeffHJm/P7778fPfvazqKioWGHufffdFw888EBmPHDgQMcgAAAAAAAAAKzj8qqrq6tz3QTrt4qKivjxj38cb7zxRuaxrl27xre+9a3o1q1bzJ07N1544YV49913M8936NAh/vrXv0anTp1y0TIAAAAAAAAADSRYQJP48ssv49RTT42xY8fWO7djx45x6623xo477rgWOgMAAAAAAABgdQgW0GQqKyvjzjvvjPvvvz9mzZq1wvPFxcVx2GGHxUUXXRSbbLLJ2m8QAAAAAAAAgEYTLKDJVVZWxpgxY+Kzzz6LOXPmRJs2baJz586x2267RXFxca7bAwAAAAAAAKARBAsAAAAAAAAAgKT8XDcAAAAAAAAAAKy7BAsAAAAAAAAAgCTBAgAAAAAAAAAgSbAAAAAAAAAAAEgSLAAAAAAAAAAAkgQLAAAAAAAAAIAkwQIAAAAAAAAAIEmwAAAAAAAAAABIEiwAAAAAAAAAAJIECwAAAAAAAACAJMECAAAAAAAAACCpMNcNAEBT2H///WPq1KkREXH11VfHMccck+OOAABgzVuwYEG8++67MXv27Pjiiy9i2bJl0bp162jXrl1sv/320aNHj1y3CLBOmjp1arz//vsxa9asWLBgQeTn50erVq2ic+fO0aNHj9h8882joKAg120CAKwzBAsAAACADd4jjzwSl1566UrnFBcXR+vWraNnz56x0047xRFHHBHbbrtt1pwHH3wwfvnLX2bGv/3tb+Poo49e5b7mzp0b++67b1RUVERExKBBg+KWW25Z6Zry8vIYMWJEPPXUU/Huu+/G8uXLk3M32WSTOOSQQ+KYY46JnXbaaZX7BNgQlJeXx0MPPRQPPvhgTJw4caVzi4uLY8cdd4yBAwfGoYceGt27d19hzhtvvBEnnnjiSuu0aNEiWrduHd26dYs+ffrEIYccErvssstq/RwAALkgWABs8Or6AHGvvfaKP/3pTw2u8bOf/SweffTRiIjYfPPN47nnnmvSHgFYPQ25WdSyZcsoKSmJ7t27xw477BCHHHJI7Lrrrmupww3H0KFD480332zyul27do1//vOfTV4XoDEWL14cixcvjrKysnjzzTfjzjvvjG984xtxxRVXRGlpaUREHH744XH11VfHsmXLIiLi0UcfXa1gwRNPPJEJFUREvbWeeeaZGDZsWGa3rvrMmzcvHnrooXjooYdiv/32i0suuSS23HLLVe4XYH01adKkOOecc+Kjjz5q0PzFixfHm2++GW+++WbMnz8/LrzwwlV63aVLl8bSpUtj1qxZMXbs2Bg+fHjsvPPOcdVVV3k/BmiAmjvV7rbbbnHfffc1ukbv3r0z10cffXT89re/XWFOzXsAKXl5edGyZcvYZJNNYsstt4z+/fvHt771rTrDZ7AhEiwANkojR46M//znP7HHHnvkuhUA1pIlS5bEkiVLYtasWTFmzJi47777ok+fPnH11VfH1ltvnev2AFjLOnbsGC1atMh6bNGiRTF37tyorq7OPPbSSy/FkCFD4uGHH47OnTtHmzZt4sADD4ynnnoqIiLefPPNmDp1anTt2nWV+njssccy1+3bt49vfOMbdc6rrq6OP/zhD3HbbbdlPd6sWbPYZZddYuedd4727dtHcXFxzJ07N8rKyuL111+PTz75JDP35ZdfjsLCwvjf//3fVeoVYH01bdq0OPHEE2PmzJmZx1q0aBEDBw6MHXbYIdq3bx95eXnx5ZdfxieffBLvvPNO1vtnQ7Vv3z5atWqV9diSJUti7ty5UVlZmXns7bffjiFDhsSf//znFXbGAWDdVV1dnQkjT5s2LV599dW46aab4vjjj4+LL744WrZsmesWYY0SLAA2Wtdff308/PDDuW4DgDWgrptFdX2gN27cuDj++OPjgQce8IFeA3Xs2LHe87qXLl2a9aFtXR+w1tapU6cm6Q+goYYNGxa77777Co9/+eWX8Y9//COuv/76mDNnTkRElJWVxQUXXBAPPvhgRHz1LaevgwXV1dXx+OOPxxlnnNHoHj788MP473//mxl/61vfisLCuj+queqqq2L48OGZcYsWLeKkk06Kk08+OVq3bp18jc8++yzuvPPOeOSRR7J+BwJsTK644oqsP59+61vfip///Oex6aabJtd89tln8eyzzzbqs6MLL7wwjjnmmBUeX7x4cbz00ktx/fXXx+TJkyPiqzDbmWeeGc8++2wUFRU14qcBYG2o67OPqqqqWLhwYcybNy/rsT//+c/x0UcfxZ/+9Cfv6WzQBAuAjdbbb78dL7zwQgwaNCjXrQDQxFI3i5YsWRL//ve/48Ybb4zx48dHRMTChQvj/PPPj6eeeioKCgrWdqvrneuuu67eObXPmk19wAqwLmrbtm0MGTIk9tlnnxgyZEjMmjUrIiLGjBkTI0eOjL322iv22muv6NSpU8yYMSMiYpWDBbW3Wk29V/7973/PChW0b98+7rrrrth+++3rfY2ePXvGlVdeGT/84Q/j/PPPb3SPAOu7iRMnxr/+9a/MeNCgQTFs2LB61/Xs2TNOO+20OOWUUzLv96uquLg4DjvssBg4cGB897vfjY8//jgiIqZMmRKPP/54DBkyZLXqA9D0nn/++eRzc+bMiWeffTZuvvnm+OKLLyIiYtSoUXHHHXfEWWedtbZahLUuP9cNAKxtm222Web6hhtuiKqqqhx2A8Da1LJlyxg0aFCMGDEidtppp8zjEydOXOlfGAHY+HTu3HmF87T/+c9/RkREfn5+HHXUUZnHP/300xg9enSj6i9fvjyefPLJzHiHHXbIOvv1awsWLIjLLrssMy4qKop77rmnQaGCmrbccst46KGH4qCDDmrUOoD13SuvvJI1PvXUUxu1vqCgYJWPu6mtdevWcfnll2c99vXvFgDWH+3bt4/vf//78cADD2TtmPnggw+638AGzY4FwEbn9NNPj1//+tcREfHRRx/FE088kfWhYFOqqKiI0aNHx+effx5z586NVq1aRYcOHWLXXXeN9u3bN8lrzJ49O8aMGRMzZ86MRYsWRZcuXeJb3/pWveuWL18eb731Vqa3tm3bRr9+/Va6FXh5eXmMGjUqJkyYEIsXL4527dpF//79Y6uttmp039XV1fHJJ5/EhAkTYsaMGbFkyZIoLi6O9u3bR9++fevdZhtgdTRv3jwuueSSOOGEEzKPvfLKK3HIIYes0dedM2dOjBo1KmbNmhWLFi2Kdu3aRffu3WOXXXaJZs2aNclrvPfee/Hxxx/HrFmzori4OHr16hW77babrfgAVsGgQYOioKAgc4RAzWMLjjnmmLjtttsy48ceeyx22WWXBtd+5ZVXMkctfF2vLg8++GDMnz8/Mz777LNjm222afDr1FRcXLzG/u4DsK6aNm1a1riuENfaNGDAgGjXrl3MnTs3IrJ/twCwftlyyy3jyCOPzBybM3v27Jg8eXL06tUrt43BGiJYAGx0DjrooHjkkUfi/fffj4iIm266KQ4//PAmu6ET8dW5rDfffHM88sgjsXDhwhWez8/PjwEDBsRFF10Uffr0qbfe0KFD480334yIiLPOOivOPvvs+Oyzz+I3v/lNvPbaa1lnpbZu3ToTLKi9FfXX237fe++9ceedd2a2da1pwIAB8Zvf/CZ69uyZeayqqiruueeeuP3227POj/rabrvtFldddVV07959pT/H8uXL46WXXoqnn346Ro4cWWetr22++eZx2mmnxZFHHhl5eXkrrQuwKvr16xctW7aMJUuWRMRXuxasKe+++25ce+21MWrUqDqT6yUlJfGd73wnzjrrrJWekx3x1XapBxxwQGb84osvRrdu3eLll1+OYcOGxUcffbTCmjZt2sRZZ50VP/jBD1b/hwHYiJSUlMSmm24as2fPjojI3ASK+GqL7F122SWzU8Gzzz4bl112WTRv3rxBtWseg9CsWbM44ogjVphTWVkZ9913X2bcpk2brD/fA1C/r/+8/7Xy8vIGv1evKd27d8/8Tqn5uwWA9U/tL+rNnTtXsIANlqMQgI1OXl5eXHDBBZnxlClT4i9/+UuT1f/www/jsMMOi+HDh9cZKoj46kb9G2+8Eccee2zcddddjX6NV155JY4++uh4+eWXs0IF9amqqorzzjsvrrrqqjpDBRERb731Vhx33HHx2WefRcRXf+E+44wz4pprrkkGAd588834/ve/v8K3AGqbOHFinHnmmfHMM8+sNFQQETFp0qS45JJL4qc//WmUl5fX+7MBNFZ+fn7WTfyvz8Rrarfffnsce+yx8eabbya3w1u4cGHcc889ceihh9YZDKjPrbfeGqeeempy7fz58+Oqq66KK664otG1ATZ2y5cvz1wXFBRkPVdzl4EFCxbECy+80KCa8+bNyzrve//9949NNtlkhXn//e9/Y+bMmZnxEUcckbXVKgD1a9euXdb4tddey1En/2dlv1sAWL/U/qynuLg4R53AmmfHAmCjtM8++8Ruu+2W2QXg1ltvjWOOOSZatmy5WnUnTZoUJ554Ynz55ZeZxzbffPM4+OCDo1u3brFgwYL4z3/+E6+++mpUVVVFVVVVXHvttVFYWBgnnXRSg17j888/j+HDh8eiRYuipKQkDjrooNh2222juLg4ZsyYEf/+97+Ta2+88cZ49tlnI+KrXQYGDhyY2X7vueeey+zi8MUXX8Qll1wSDz30UFx++eWZDz1322232GeffaJ9+/YrrJkxY0b88pe/jDvuuKNBP0dxcXHssssuseOOO0aHDh2iRYsWMW/evHj33XfjX//6VyxbtiwiIp5++uno0KFDXHrppQ2qC9BQVVVVWVtLN+XONV+7++674/e//31mXFBQEAMHDozdd989WrduHVOmTInnnnsuPv3004iImDVrVgwdOjRGjBjR4CNhnnjiibjhhhsi4qst+A444IDo3r17VFRUxLhx4+Kpp56KioqKiIh44IEHYu+9987a8QCAtLlz52b92b72zalDDz00fvOb38TixYsj4qtdCA4//PB669Z8b45IH4MwatSorPEee+zR4N4B+Erfvn2zxldddVVsvvnmKz0Kck2qrKyMyZMnZ8a1f7cAsH55++23M9fNmjWLzTffPHfNwBomWABstC644II4/vjjI+KrGznDhw+PU089dZXrVVVVxaWXXpr1wePZZ58dZ5xxRuTn/98GMT/60Y9i1KhRceaZZ2a+tX/dddfF3nvvHVtvvXW9r/P4449HRMTee+8d1157bbRv3z7r+bPPPju59rbbbovi4uL4wx/+EPvtt1/WcyeffHL86le/ioceeigiIsaOHRtXXXVVPPLII1FSUhLXX3997Lvvvius+eUvf5k5Q+rll1+O//73v7Hddtsle9h6663jJz/5SRx44IHJIMfMmTPjpz/9aSb4ce+998Z3vvOdBv37AWio0aNHx9KlSzPjbt26NWn9Dz/8MK6//vrMeLPNNoubb745+vXrlzXvnHPOiRtuuCFuv/32iPjqW6yXXnpp3H///Q06Cuamm26KgoKCuPTSS+N73/te1u+ciIiTTjopfvCDH2R+59x8882CBQAN9NRTT0V1dXVmXPvmVKtWreLggw/OHGswcuTIKCsri9LS0pXWrXkMQocOHWLgwIF1zhs3blzWeMcdd2xU/wBEDBw4MDp27JjZAWbmzJlxzDHHxDe/+c04+OCDY7fddotOnTqttX5eeumlWLBgQWZc+3cLAOuP0aNHZ77IFxFx4IEH5vy4HViTHIUAbLT69esX+++/f2Z81113ZX1ztbFeeOGFGDt2bGb8gx/8IM4666wVbvBEROy6665xyy23ZJ4rLy/PuvlUn6233jpuvfXWFUIF9amurq4zVBDx1Zbg/+///b/o0KFD5rF77703IiJuuOGGFUIFqTXPPPNM8vV79eoVTzzxRAwePHilu0N07Ngxbr/99thiiy0yfX8deABoCsuWLYvf/e53WY819bdA//CHP2S+jVpYWBi33XbbCqGCiK92MbjgggviuOOOyzw2atSoePHFFxv0OlVVVXHxxRfH0KFD6/yds+2228ZFF12UGX/wwQcxceLExv44ABud//73v5kdYb520EEHrTDv6KOPzlxXVlbGE088sdK6H3/8cbz33nuZ8eDBg5PbYM+ePTtznZ+fH126dGlQ7wD8n6Kiorj88suzQruVlZXxwgsvxEUXXRT77bdfDBw4MM4444y44447YuzYsVlHFTSladOmrXA82YEHHrhGXguApvf17pdjx46Na665Jn74wx9mfmdsttlmWZ+/wIZIsADYqJ1//vmZmzDz58+Pu+66a5Vr1bzx3b59+zj33HNXOn/XXXfN+hDypZdeihkzZjTotS666KJVSj5+85vfrDNU8LXmzZvHwQcfvMKaffbZJ7mmRYsWWR+wvvvuu8m5RUVFdd70qktxcXHWDhLrwhmIwPpv6dKl8eKLL8axxx6b9X61ySabZL0nr67p06fHK6+8khkfe+yx0adPn5WuufDCC7PO137wwQcb9FpbbbVV/OAHP1jpnCOOOCLrjL+VvVcDbMwWL14c77//fvz+97+P448/PhYuXJh57oADDqjzW6W77bZb1q43jz322Epfo+ZuBRHpYxAiIms3tJKSkgbtZAPAigYNGhTXX399tGrVqs7nZ86cGS+++GJcd911cfzxx8e+++4b11xzTVbAa1UtXbo0JkyYEHfccUccffTRWZ/9bLfddnHIIYes9msA0PR69+69wj/bbbddDBgwII4//vj44x//GMuWLYv8/PzYf//946GHHhIEZoPnKARgo7bNNtvEEUcckflW0fDhw2Po0KFZ38BviKVLl8Ybb7yRGR9xxBHJv6zW9N3vfjf+9re/RcRXaflXX301hgwZstI17dq1W+mN/pUZPHhwvXNqH2Nw5JFH1rtm++23z1xPmjSp8Y0l7Lnnnpnrzz77LBYuXBglJSVNVh/YcF144YXRokWLrMeWLl0ac+bMicrKyqzHCwsL4+qrr462bds22eu/+uqrWa9TczeClDZt2sThhx8eDzzwQEREvPHGG7Fs2bJ6g2RHHnlkvTeaWrRoEb17987srNOU79UA66sTTzyxwXO32WabuPrqq+t8Li8vL44++ui46aabIiJiwoQJMW7cuDoDZbV3NOjbt29stdVWydddtGhR5rpmQAyAxjv00ENjt912i7vuuiseffTR+OKLL5Jz58yZE3/84x/j4Ycfjl/84hdx1FFHNeg1Lr300rj00ksbNLe0tDRrN0sA1j+FhYXx7W9/O04++eTo3r17rtuBNc6fWoCN3jnnnBPNmjWLiIglS5bErbfe2uga77//ftY2eakzUmvr06dPtGvXLjOufYZqXfr27ZvcKrUha+uz2WabrdaamucErq6aRz1UV1dHWVlZk9UGNmwzZ86MyZMnZ/0zc+bMFUIFm2++efzpT3/KOhqnKdTcEaBDhw6x7bbbNmhdzV1lKioq4oMPPqh3zU477dSg2h07dsxcN+V7NcCGrKioKL73ve/FQw89tNIA2tFHH50V8krtWvDaa6/FrFmzstatTM2w8pIlSxrYNQAp7du3j0suuSReffXVuOeee+K0006LPffcM2vnsJoWLVoUl1xySfz5z39ush4KCgri8MMPj8ceeyy6du3aZHUBaFo9evSo858OHTpEYeFX39tevnx5PPzww3HIIYfEddddt8LnTrChsWMBsNHr3r17DBkyJPOXxL/85S/xwx/+sFEJw88++yxrvM022zR4be/eveP111+PiIhPP/20Qf2uqobsxNCyZcusce2gQX1rFi9e3KBe3n333Xj22Wfj/fffj08//TQWLFgQS5Ysierq6uSamlvRAqyufv36xa233hqbbrppk9eu+Xuhsb8Tatfp16/fStc05H06Ivubrm5OAXwVuKq5u01eXl60aNEiWrduHT179oyddtopDjzwwKwgcErXrl1j9913j//85z8REfHUU0/FJZdcEkVFRVnzah6D0Lx58zjiiCNWWrdmmGHhwoVRXV3tOASAJtCsWbPYc889s3ZK/Pzzz+P111+PJ554It56662s+VdddVXssccescUWW6y0bvv27bNCYXl5edG8efMoKSmJbt26RZ8+feLAAw+Mzp07N+0PBECTe/7555PPlZeXx5gxY+Luu++OV155JSorK+OOO+6IL774Iq688sq12CWsXYIFABFxxhlnxKOPPhpLliyJioqKuOmmm+J3v/tdg9fPnz8/a9yQDx/rmlu7Tl0acsRCSn3baTfVmpWZNGlS/OIXv4g333yz0WuXLVvWpL0AG67hw4fH7rvvnhkvWbIkpk2bFiNHjoy77rorZsyYEWPHjo0hQ4bE8OHDm/wMvJpnYjcmuFD790fNOimr8j69shAXwMZi2LBhWb8rVtcxxxyTCRbMmzcvXnrppTjooIMyz8+fPz9efPHFzPiAAw6INm3arLRmzfBYZWVlzJgxw80ogDWke/fu0b179zj22GPjlVdeiYsuuijmzZsXEV/tJvbHP/6x3ptFF154YRxzzDFroVsAcqmoqCj22GOP2GOPPeLXv/513H///RERMWLEiNh///2bfGdMWFc4CgEgvvomf80zVp988sn4+OOPG7y+5rf0CwsLM0crNERjv+3/9TZL66MJEybEd7/73TpDBS1btowOHTpEt27dsraWqsmNMGBVtWzZMrbccssYOnRoPPnkk7HDDjtExFffSjrllFNi6dKlTfp6NXcEqL0TzMoUFRVlHXfT0F1gAMi9gw46KEpKSjLjmrsTREQ8/fTTUV5enhnXdwxCxFdHp9XUkKPTAFh9++67b1x//fVZj73yyis56gaAr63K58O11zT1DmAXXnhh1pE6d955Z5PWh3WJYAHA/+/kk0/OfGOoqqpqhb9ArkzN7aWXL18eFRUVDV5b8+ZTzTobmurq6rj00kvjiy++iIiv/gB31FFHxV133RX/X3v3HpRlnf9//AVycz6pISoeoVTIKIpYo1XLQ2522rQN28zMssLI0+a21aw7u20H04yUanfWtm3ZJsuRLA+VTpqHdNEMhDRslEUDT6igKMcb7u8f/rx+XMIt143gHfB8zDhzvS8/h/ctMyDX/b4/7//+97/Kzs7Wli1b9NVXX2ndunVat26d1q5d6+asAbRHwcHBWrRokfE9d9++fZo/f36L7tHctgPV1dWmfnzt+ecCALQ3fn5+Gjt2rBFv3rxZJ0+eNOL6hQbh4eG6+eabm1wzPj7eFGdmZrZApgAAKxITE01tzY4ePaqzZ8+6MSMA6Jia04a3vgu/d7vyARAr/Pz8TK11srOzaemLdovCAgD4f4KDgzV16lQj/uqrr7Rr1y5Lc+v3PpVkeoDYlPpjmzoKtS3Lzs5WTk6OEb/00kuaN2+ehg4d6vSYcCutIQCgOXr16qXHH3/ciD/88EPt37+/xdav//38fEGVFRf+/Ljw5wsA4Oet/ikENTU1WrlypSQpPz/f9LvFPffcYzqhxpno6Gh169bNiFeuXEl7MAC4jK688kpTzBtFAHD5BQUFGdfNeV5cVlZmilvjGXxERIRxXVdXp4MHD7b4HsDPAYUFAFDPQw89pLCwMCN+/fXXLc278Mj+vXv3Wt6z/th+/fpZntfWnO83K0mRkZEaP358k3MKCwtbMyUAHdykSZOMo+pqa2u1YMGCFlu7b9++xvWPP/5oed6FPz/qrwMA+Pm7/vrrTf+nX7FihaSGbRGstEGQpE6dOumhhx4y4lOnThn9WwEAra9+CxtJpqOuAQCXR3h4uHF96NAhlwttL/wgSf3C3ZZyYbsFioHRXlFYAAD1+Pn5KTk52YgzMzP1zTffNDnv6quvlpeXlxFv2bLF0n7ff/+96dOpsbGxLmTbthw7dsy4HjRokKU5HPUKoDUFBASY3qxZv369vv/++xZZ+9prrzWui4uLlZeXZ2le/b6tNptNMTExLZIPAODyqV9Au2fPHv3www/67LPPjHtxcXGKjIy0vN4DDzxg+lTVm2++qX379jUrt4qKCqPYAQBwcXV1dabTZrp16yYfHx83ZgQAHVP9Zyy1tbWmU3GtyM7OdrpeSykqKjLFzk7oBdo6CgsA4AL333+/evfubcRvvPFGk3N8fX01ZMgQI161apWlvntLly41rjt16qShQ4e6mG3bUb9q00rFpt1u10cffdSaKQGAJk6cKH9/fyNOS0trkXWHDh1qOuK6/vd7Z8rKyrRq1SojHjJkCA8uAaANurDNwQsvvKAjR44Y8bhx41xaLygoSH/961+NuKqqSpMnT7ZctHbe/v37lZSUpLVr17o0DwDaumXLlmnFihWqra11ad6//vUvFRcXG/Hw4cNbOjUAgAX1n7tL0qeffmp5bl1dnelZS2hoqOUPvVlVXl5uOq03ICDA1BoBaE8oLACAC9hsNj399NNGnJuba+kEgqSkJOP6xIkTevPNNy86PisrS8uXLzfiW2+91XSsU3vTo0cP4/rbb79tsvBi8eLFKigoaOWsAHR0oaGhuv/++414w4YN2r179yWv2717dw0bNsyIly1bptzc3IvOef3111VaWmrEEyZMuOQ8AACXX3h4uBITE424/s8VX19fjR071uU1x4wZo0mTJhlxcXGxJkyYoNTU1Cb7fR88eFB//OMfddddd7nUsg0A2ovCwkI9++yzGjt2rP7xj3+YTlRsTFVVldLS0vTaa68Z97y8vPTwww+3dqoAgEbExMQoLi7OiD/55BPLJ06mp6frf//7nxFPmDDBVATcEubNm2d6nnPrrbfKZrO16B7Az4VX00MAoOO56667tGTJEqMvdv0KdWdGjRqluLg4ZWVlSZLef/99hYSEKDk5WZ6e5jqunTt3KiUlRXV1dZIkb29vzZw5s2VfxM9MYmKiFi5cKOlcb9jnnntO8+fPb/Bp3OrqaqWlpenvf/+7PD09jX8jAGgtU6ZM0QcffKCamhpJ504teOeddy553ZkzZ2rLli2qqamR3W5XcnKy0tLSdN1115nG1dbWKi0tTR9++KFx78Ybb9TIkSMvOQcAgHuMGzdOmzdvbnB/9OjRCgwMbNaazz//vPz9/fW3v/1N0rm2Bu+8847effddxcfH69prr1XXrl3l5+enkydP6tixY9q2bVuz2yYAQHtTUFCgBQsWaOHChbryyisVFxenXr16qXPnzvLw8FBJSYny8vK0adMmnT592jR3xowZuuqqq9yUOQBg+vTpmjJlihwOh+x2ux599FG99tprTk+Tqamp0b///W8tWLDAuNelSxdTse6lqK6u1s6dO7VkyRLThxIv/NAi0N5QWAAAjfD09NTMmTM1bdo0l+a88sorSkpK0qlTpyRJixYt0urVqzVmzBj17NlTZ86cUWZmpjZt2mQ6gu93v/tdu/8F9ZprrtGQIUOMY6G+/PJL5ebmauzYserXr5/sdrvy8/O1bt06HT58WJKUkpKiRYsWuTNtAB1AeHi47r77buMUmfXr12vPnj2KiYm5pHUHDRqkWbNmGZ90Ki4u1m9/+1sNGzZMQ4YMUUBAgA4dOqTPP//cVD0fGhqql19+WR4eHpe0PwDAfUaNGqWQkBDj94LzXG2DUJ+Hh4dmzZqlgQMHav78+Tp06JCkcw81t27dqq1btza5xujRozVnzpxm5wAAbZGfn58prqur048//mh8mORifHx8NHv2bE2ePLmVsgMAWJGYmKjk5GS9/fbbkqTS0lI9/vjjGjRokBITExURESF/f3+dPn1a+/fv16ZNm0ztyLy8vLRgwQJ17drV8p6jR49u9H5FRYVKSkpkt9tN9zt16qT58+erX79+rr9AoI2gsAAAnBg5cqSuu+46ZWdnW57Tv39/vf/++3rsscd0/PhxSed6mZ7/D8+FPDw89Mwzz3SYX1Bfe+01JSUlGYUDhw4d0pIlSxode++992ratGkUFgC4LB577DF98sknxikpaWlpTr93u+LRRx+V3W7XG2+8IYfDodraWm3YsEEbNmxodHxYWJjeffdd9enT55L3BgC4j7e3t+6880598MEHxr0ePXo06A/bHGPHjtWoUaP08ccfa9WqVcrNzW3wULO+Ll266Pbbb9d99913yUVzANAWPfnkkxoxYoTWrl2rbdu2KScnR9XV1Red06VLF91xxx16+OGH1bt378uUKQDgYmbMmKGgoCAtWLDA+NBeXl6e8vLyLjovNDRUqampuummm1za7+DBg5bHRkZG6sUXX1R8fLxLewBtDYUFAHARs2fPdvl4pOjoaK1Zs0aLFy9WRkaGzp4922CMp6enbrzxRj3zzDOKjY1tqXR/9sLDw7V8+XK9+OKL+vLLLxttc9C3b18lJyfr3nvvdUOGADqqyMhIjR49Wl9++aUk6auvvmqRUwsk6YknntCQIUO0YMEC7dixQw6Ho8GYwMBAjR8/XikpKQoODr7kPQEADY0bN+6STgxw1dy5czV37txWWdvb21sTJ07UxIkTVVZWppycHBUXF6ukpERVVVUKCgpS165dFRMTQ7EaAEgaMGCABgwYoJSUFFVXVys/P18FBQUqLi7W2bNn5enpqYCAAHXt2lUDBw5U3759G7S1bMwvfvEL7d279zK8AgCAdK6d5fDhw7VkyRJ98cUXKi8vdzo2LCxM999/vyZNmqTQ0NAWy8Hb21tBQUGKiIjQ4MGDNWrUKCUmJnLyJDoED0djTzYBAC3ifK+ln376SSUlJfLz81NYWJgSEhJcOnapPTp69Kh27NhhHEkVFhamqKgoDR482M2ZAUDrOX78uHbs2KHi4mJVVFSoc+fO6t27t2644QZ5e3u7Oz0AAAAAAIA2wW63a8+ePcrPz1dpaakqKioUFBSkzp07Kzo6WpGRke5OEWh3KCwAAAAAAAAAAAAAAABONX2eEwAAAAAAAAAAAAAA6LAoLAAAAAAAAAAAAAAAAE5RWAAAAAAAAAAAAAAAAJyisAAAAAAAAAAAAAAAADhFYQEAAAAAAAAAAAAAAHCKwgIAAAAAAAAAAAAAAOAUhQUAAAAAAAAAAAAAAMApCgsAAAAAAAAAAAAAAIBTFBYAAAAAAAAAAAAAAACnKCwAAAAAAAAAAAAAAABOUVgAAAAAAAAAAAAAAACcorAAAAAAAAAAAAAAAAA4RWEBAAAAAAAAAAAAAABwisICAAAAAAAAAAAAAADgFIUFAAAAAAAAAAAAAADAKQoLAAAAAAAAAAAAAACAUxQWAAAAAAAAAAAAAAAApygsAAAAAAAAAAAAAAAATlFYAAAAAAAA3CozM1MDBw40/mRkZLg7JVygsLDQ9DVavHixu1MCAAAAAFxGFBYAAAAAAAAAAAAAAACnKCwAAAAAAAAAAAAAAABOUVgAAAAAAAAAAAAAAACcorAAAAAAAAAAAAAAAAA4RWEBAAAAAAAAAAAAAABwysvdCQAAAAAAALSUkydP6scff9SBAwd0+vRp1dXVKTg4WN26dVNcXJy6dOnSovvV1tYqKytLRUVFKi4uliTFxsYqISHB6ZyysjJlZmbq8OHDqqysVLdu3dS/f3/Fxsa2aG6SVFRUpNzcXJ04cUJlZWUKCQlR9+7dFR8fr6CgoBbfDwAAAADQPnk4HA6Hu5MAAAAAAAAdz4gRI1RUVOTSnISEBKWnp5vu5ebmavXq1dq8ebP27dt30fmxsbF6/PHHNXr0aEv7FRYWauTIkUackpKip59+WlVVVXrrrbeUkZFhFBScN3LkSL399tsN1jp69KjmzZuntWvXqqampsHf9+vXT1OmTFFSUpIk6aGHHtL27dslSREREVq/fr2lnO12u5YtW6b//Oc/Tv89vLy89Mtf/lKzZs3SoEGDnK5VPwerXMkVAAAAANA2cGIBAAAAAABos7Zt26bJkydbHp+Tk6OUlBTdeeedeumll+Tr6+vynkVFRUpOTtbevXstz8nMzNS0adN05swZp2MKCgo0d+5cZWZmat68eS7nJUn5+fl66qmnlJ+ff9FxdrtdX3/9tTZt2qQ5c+ZoypQpzdoPAAAAANAxUFgAAAAAAADarAsPYrTZbIqKilL37t0VGBiompoaHTt2THl5eaqoqDDGrVq1Sg6HQwsXLnRpv6qqKqWkpBhFBT4+Prr22msVFhams2fPNnpCwK5du/TEE0+Y9pfOnVAQFRUlm82mwsJC7d69Ww6HQ6tXr1a3bt1cyks6VzQxdepUlZaWmu736tVLV111lQICAnTq1Cnl5uYaY+rq6jRv3jxVVlZq2rRpLu8JAAAAAOgYaIUAAAAAAADc4siRI7Lb7dq1a5dmz55t3P/973+vMWPGNDrHx8dHYWFhRrx161ZNnz5dv/71rzVy5EjFx8fLZrM1mFdRUaHPPvtMCxcuNL3xnpqaqttvv91pjhe2QvD391d5eblsNptSUlI0adIk+fv7m+YUFRUpIiJC0rlChLvvvlsFBQXG3w8cOFB/+ctfdN1115nmHT58WC+//LLWrl0rDw8PhYSEGLk21V6gpKRE99xzj44ePWrcGzFihGbMmNGg1UFtba0+/fRTvfzyyyorK5MkeXp6Kj09XfHx8aaxxcXFqqqq0pEjR/Tggw8a9ydNmqSHH3640Vy8vLzUvXt3p7kCAAAAANoeTiwAAAAAAABucf7N56KiItP9zp07q1evXpbWiImJ0caNGxUQEHDRcX5+fkpKSlJCQoImTJhgvGH/z3/+86KFBRcqLy+Xp6en3nrrLQ0fPrzRMeeLCiQpPT3dVFQQHR2t9PR0BQUFNZjXo0cPLVq0SM8//7wyMjIanDxwMS+++KKpqGDatGmaMWNGo2M7deqkcePG6eqrr9aECRNUXl6uuro6vfLKK1q+fLlpbP0ijvqCg4Mtf40AAAAAAG2fp7sTAAAAAAAAaK7Q0NAmiwrq69+/v1JSUow4JydHhYWFLu354IMPOi0qqM/hcOijjz4y4k6dOunVV19ttKjgPA8PD82dO1c9e/a0nM/Bgwf1+eefG/GwYcOcFhXUN3DgQD3zzDNG/P333+u7776zvC8AAAAAoOOgsAAAAAAAAHQo9VsbSOeKC6zy8PDQ5MmTLY3dvXu3Dh48aMTDhg1r0JagMX5+fpo4caLlnJYuXaq6ujojtlJUcN59990nPz8/I/76668tzwUAAAAAdBwUFgAAAAAAgHbH4XCovLxcx44dU2FhoemP3W43jc3Pz7e87oABAyy3ANi1a5cpvu222yzv48rYzMxM4zoiIkKDBw+2PNfHx0fXXHONEXNiAQAAAACgMV7uTgAAAAAAAKAl7Ny5U2vWrFF2drb27dunyspKS/NOnTpleY/o6GjLY/fu3WuKY2JiLM/t3bu3QkJCmsytoqJCP/zwgxH36dPH5dYO9VtJFBUVuTQXAAAAANAxUFgAAAAAAADatP3792vu3Ln69ttvmzX/zJkzlsd26dLF8tjS0lJT3KNHD8tzJSk8PLzJwoLjx4+rtrbWiLdt29ag1YMrLswZAAAAAACJwgIAAAAAANCG7d69W4888ohLpw5cyOFwWB7r7+9veWxZWZkprn8ygBWBgYFNjmnpQoDy8vIWXQ8AAAAA0D5QWAAAAAAAANqk6upqzZ4921RU0LVrV91zzz2Kj49X3759FRYWJl9fX/n4+JjmDhw4sNXzs9lspthut8vLy/qjmOrq6ibH2O12l/MCAAAAAMBVFBYAAAAAAIA26fPPP1dBQYERJyQk6J133mnyk/6utD64FMHBwab41KlT8vX1tTz/9OnTTY4JCQkxxbfffrtSU1Mt7wEAAAAAgBWe7k4AAAAAAACgOTZu3Ghce3p6at68eZbaBxw/frw10zL07NnTFO/bt8/y3MrKShUVFTU5rmvXrqa4pKTE8h4AAAAAAFhFYQEAAAAAAHArDw+PZs07cOCAcR0VFdXgjXxnsrOzm7Wfq2JjY03x9u3bLc/duXOnamtrmxwXEhKifv36GfHu3bstzXNVc79GAAAAAID2gcICAAAAAADgVt7e3qa4pqbG0rz6LQ2snFRw3sqVKy2PvRTXX3+9bDabaV+rry0jI8PyPomJicZ1WVmZtmzZYj1Ji5r7NQIAAAAAtA8UFgAAAAAAALcKCgoyxcXFxS7PO3DggOrq6pqcs337dn3zzTeuJdhMXbp00YgRI4y4qKhI7733XpPzvvvuO61evdryPklJSaYTBVJTU1VdXe1ask1o7tcIAAAAANA+UFgAAAAAAADcqnfv3vLy8jLizMxMS/MGDBhgXJ88eVKfffbZRccfOHBAc+bMkcPhaF6izfDYY4/J0/P/P35JTU3VihUrnI7fs2ePnnrqKZdyHDRokEaNGmVaY86cOaqsrLS8hsPh0IYNG3TixIlG/97X11c9evQw4m+//bZVWi4AAAAAAH6eKCwAAAAAAABu5e3trdjYWCPevn27XnjhBW3btk0FBQUqLCw0/tT/pPyYMWNM6/zpT3/S8uXLG7zhXVNToxUrVuiBBx7QkSNH1Llz59Z9QfXExsZq0qRJRlxbW6tnn31WU6dO1erVq5WXl6f9+/dr48aN+uMf/6jf/OY3OnnypPr06aOYmBjL+/z5z382vfH/xRdfaPz48VqzZo3T0wvq6uqUl5entLQ0/epXv9KTTz6p0tJSp3vEx8cb1wcPHtT06dO1ceNG5efnm75GR44csZw3AAAAAKBt8HBczjJ9AAAAAACARqxZs0azZs1qclxCQoLS09ONeOLEidqxY4dpTFhYmAYPHqyAgACVlpYqJydHp0+fliR5enrqrbfeUnJysjH+3nvv1auvvtrofoWFhRo5cqQRp6Sk6Omnn3bptdXU1Gj69Olav369pfG+vr5KT0/X/PnztX37dklSREREk/P37NmjqVOn6vjx4w3Wi46OVlhYmHx8fHTmzBmdOHFC+/btU3l5uWnsmjVrFBUV1ej6WVlZeuCBB5o8TcFKrgAAAACAtoUTCwAAAAAAgNuNHTtWkydPdnleamqqIiMjTfeKi4u1YcMGrVq1Slu2bDGKCmw2m1566SWNGDGiJVK2zGaz6c0339QjjzyiTp06XXRs7969tXTpUsXGxppaGQQEBDS5T0xMjJYvX664uDjT/crKSmVlZWnt2rVauXKlNmzYoJycnAZFBT4+PvLx8XG6flxcnJ599tkmXwMAAAAAoP3xanoIAAAAAABA63vuued0xx13aMWKFcrJydFPP/2ks2fPqqamxumcK664QsuWLVNqaqqWLVtmejP+PJvNpltuuUUpKSkaNGhQa74Ep7y9vfWHP/xB48ePV0ZGhr755hsdOXJElZWV6tatm/r166e77rpLY8aMka+vryQZBRGSFBgYaGmf7t27a+nSpVq/fr3ee+89ZWVlXfTfz8/PT/Hx8RoxYoTuvPNOBQcHX3T9Rx55REOHDlVGRoa+++47HThwQGfOnHHabgEAAAAA0D7QCgEAAAAAALQLZ86c0c6dO3XgwAGVl5erc+fOCg8PV1xcnEJCQtydnkuqq6t1/fXXG0UBt912mxYvXuzyOuXl5crKytLhw4dVWloqu92ugIAAXXHFFYqMjFT//v3l7e3d0ukDAAAAANoZTiwAAAAAAADtQmBgoIYPH+7uNFpETk6O6aSB6OjoZq3j7++vm2++uaXSAgAAAAB0UJ7uTgAAAAAAAABmH3/8sSmOjY11UyYAAAAAAFBYAAAAAAAA8LOyY8cOrVy50ojDwsI0ZMgQN2YEAAAAAOjoKCwAAAAAAABoRaWlpZo5c6b279/f5NjNmzcrOTlZdXV1xr2kpCR5edHNEgAAAADgPh4Oh8Ph7iQAAAAAAADaq5MnT+qmm26SJN1www265ZZbNHjwYF1xxRWy2Ww6deqUdu/erXXr1mnbtm2muVFRUfrkk0/k4+PjjtQBAAAAAJBEYQEAAAAAAECrql9Y4IqePXtqyZIlioqKaoWsAAAAAACwjlYIAAAAAAAArchmsykwMNDyeA8PD40ZM0YfffQRRQUAAAAAgJ8FTiwAAAAAAABoZdXV1dq6dasyMzO1Z88e/fTTTyopKVFVVZV8fHwUGhqqPn36KCEhQbfddpuuuuoqd6cMAAAAAICBwgIAAAAAAAAAAAAAAOAUrRAAAAAAAAAAAAAAAIBTFBYAAAAAAAAAAAAAAACnKCwAAAAAAAAAAAAAAABOUVgAAAAAAAAAAAAAAACcorAAAAAAAAAAAAAAAAA4RWEBAAAAAAAAAAAAAABwisICAAAAAAAAAAAAAADgFIUFAAAAAAAAAAAAAADAKQoLAAAAAAAAAAAAAACAUxQWAAAAAAAAAAAAAAAApygsAAAAAAAAAAAAAAAATlFYAAAAAAAAAAAAAAAAnKKwAAAAAAAAAAAAAAAAOEVhAQAAAAAAAAAAAAAAcIrCAgAAAAAAAAAAAAAA4BSFBQAAAAAAAAAAAAAAwCkKCwAAAAAAAAAAAAAAgFMUFgAAAAAAAAAAAAAAAKcoLAAAAAAAAAAAAAAAAE79H4UvGtl5Si3QAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 693,
       "width": 1035
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.countplot(x='target', data=df)\n",
    "ax.set_xticklabels(class_names);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8d14a081",
   "metadata": {
    "id": "e2m55fTyRNIf",
    "papermill": {
     "duration": 0.011023,
     "end_time": "2025-05-13T12:27:47.327582",
     "exception": false,
     "start_time": "2025-05-13T12:27:47.316559",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Нормальный класс имеет гораздо больше примеров, чем остальные. Это хорошо, потому что мы будем использовать его для обучения нашей модели.\n",
    "\n",
    "Давайте взглянем на усредненный (сглаженный с одним среднеквадратическим отклонением сверху и снизу) временной ряд для каждого класса:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "400a04f3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:27:47.350544Z",
     "iopub.status.busy": "2025-05-13T12:27:47.350125Z",
     "iopub.status.idle": "2025-05-13T12:27:47.354933Z",
     "shell.execute_reply": "2025-05-13T12:27:47.354252Z"
    },
    "id": "UVvG0vhiU-ju",
    "papermill": {
     "duration": 0.017566,
     "end_time": "2025-05-13T12:27:47.356041",
     "exception": false,
     "start_time": "2025-05-13T12:27:47.338475",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def plot_time_series_class(data, class_name, ax, n_steps=10):\n",
    "  time_series_df = pd.DataFrame(data)\n",
    "\n",
    "  smooth_path = time_series_df.rolling(n_steps).mean()\n",
    "  path_deviation = 2 * time_series_df.rolling(n_steps).std()\n",
    "\n",
    "  under_line = (smooth_path - path_deviation)[0]\n",
    "  over_line = (smooth_path + path_deviation)[0]\n",
    "\n",
    "  ax.plot(smooth_path, linewidth=2)\n",
    "  ax.fill_between(\n",
    "    path_deviation.index,\n",
    "    under_line,\n",
    "    over_line,\n",
    "    alpha=.125\n",
    "  )\n",
    "  ax.set_title(class_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "a4aaab9b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:27:47.379032Z",
     "iopub.status.busy": "2025-05-13T12:27:47.378829Z",
     "iopub.status.idle": "2025-05-13T12:27:48.868265Z",
     "shell.execute_reply": "2025-05-13T12:27:48.867720Z"
    },
    "id": "xHaslHZ8JMSk",
    "outputId": "f13bd26f-09c9-47f5-fbcd-f7e995ef8dbf",
    "papermill": {
     "duration": 1.50552,
     "end_time": "2025-05-13T12:27:48.872630",
     "exception": false,
     "start_time": "2025-05-13T12:27:47.367110",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1400x800 with 5 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 777,
       "width": 1376
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "classes = df.target.unique()\n",
    "\n",
    "fig, axs = plt.subplots(\n",
    "  nrows=len(classes) // 3 + 1,\n",
    "  ncols=3,\n",
    "  sharey=True,\n",
    "  figsize=(14, 8)\n",
    ")\n",
    "\n",
    "for i, cls in enumerate(classes):\n",
    "  ax = axs.flat[i]\n",
    "  data = df[df.target == cls] \\\n",
    "    .drop(labels='target', axis=1) \\\n",
    "    .mean(axis=0) \\\n",
    "    .to_numpy()\n",
    "  plot_time_series_class(data, class_names[i], ax)\n",
    "\n",
    "fig.delaxes(axs.flat[-1])\n",
    "fig.tight_layout();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2149102c",
   "metadata": {
    "id": "jDt33QoDTUIb",
    "papermill": {
     "duration": 0.014513,
     "end_time": "2025-05-13T12:27:48.903594",
     "exception": false,
     "start_time": "2025-05-13T12:27:48.889081",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Хорошо, что нормальный класс имеет явно отличительный паттерн по сравнению с остальными классами. Это дает нам надежду, что модель сможет эффективно обнаруживать аномалии."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8d42de75",
   "metadata": {
    "id": "gJRQl1p0Q57K",
    "papermill": {
     "duration": 0.013794,
     "end_time": "2025-05-13T12:27:48.931204",
     "exception": false,
     "start_time": "2025-05-13T12:27:48.917410",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## LSTM-автоэнкодер\n",
    "\n",
    "Задача [автоэнкодера](https://en.wikipedia.org/wiki/Autoencoder) заключается в том, чтобы получить некоторые входные данные, пропустить их через модель и получить реконструкцию входных данных. Реконструкция должна максимально соответствовать входным данным. Суть в том, чтобы использовать небольшое количество параметров, чтобы модель научилась создавать сжатое представление данных.\n",
    "\n",
    "В некотором смысле, автоэнкодеры пытаются изучить только самые важные характеристики (сжатую версию) данных. Далее рассмотрим, как подавать данные временных рядов в автоэнкодер. Будем использовать несколько слоев LSTM (отсюда название LSTM-автоэнкодер), чтобы захватить временные зависимости в данных.\n",
    "\n",
    "Чтобы классифицировать последовательность как нормальную или аномальную, выберем пороговое значение, выше которого сердечный цикл будет считаться ненормальным.\n",
    "\n",
    "### Reconstruction Loss (потери при реконструкции)\n",
    "\n",
    "При обучении автоэнкодера цель состоит в том, чтобы максимально точно реконструировать входные данные. Это делается путем минимизации функции потерь (как и при обучении с учителем). Эта функция потерь известна как *reconstruction loss*. Кросс-энтропия и среднеквадратичная ошибка являются распространенными примерами таких функций."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8f8fb9b3",
   "metadata": {
    "id": "eFZ3o2F8eUaW",
    "papermill": {
     "duration": 0.013798,
     "end_time": "2025-05-13T12:27:48.958895",
     "exception": false,
     "start_time": "2025-05-13T12:27:48.945097",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Обнаружение аномалий в данных ЭКГ\n",
    "Будем использовать нормальные сердечные циклы в качестве обучающих данных для нашей модели и оценивать ошибку реконструкции. Но сначала нужно подготовить данные."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8aa73b9",
   "metadata": {
    "id": "QGKKj6fgUV_a",
    "papermill": {
     "duration": 0.013947,
     "end_time": "2025-05-13T12:27:48.986990",
     "exception": false,
     "start_time": "2025-05-13T12:27:48.973043",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Предварительная обработка данных\n",
    "Получим все нормальные сердечные сокращения и удалим столбец target:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "23fa16f0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:27:49.016313Z",
     "iopub.status.busy": "2025-05-13T12:27:49.015756Z",
     "iopub.status.idle": "2025-05-13T12:27:49.023793Z",
     "shell.execute_reply": "2025-05-13T12:27:49.023181Z"
    },
    "id": "NA0k8mTijyh-",
    "outputId": "fd7e95c0-5445-4464-86a1-b3312bd51a2c",
    "papermill": {
     "duration": 0.024117,
     "end_time": "2025-05-13T12:27:49.024792",
     "exception": false,
     "start_time": "2025-05-13T12:27:49.000675",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2919, 140)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "normal_df = df[df.target == str(CLASS_NORMAL)].drop(labels='target', axis=1)\n",
    "normal_df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5157ef5e",
   "metadata": {
    "id": "PRCZ7uviaI1Y",
    "papermill": {
     "duration": 0.013885,
     "end_time": "2025-05-13T12:27:49.052831",
     "exception": false,
     "start_time": "2025-05-13T12:27:49.038946",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Объединим все остальные классы и отметим их как аномалии:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "c1300edf",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:27:49.081754Z",
     "iopub.status.busy": "2025-05-13T12:27:49.081256Z",
     "iopub.status.idle": "2025-05-13T12:27:49.087748Z",
     "shell.execute_reply": "2025-05-13T12:27:49.087199Z"
    },
    "id": "xpdXIaDJstD3",
    "outputId": "ac5e8e13-6dd5-4362-bb33-0287669e8d30",
    "papermill": {
     "duration": 0.021662,
     "end_time": "2025-05-13T12:27:49.088802",
     "exception": false,
     "start_time": "2025-05-13T12:27:49.067140",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2081, 140)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "anomaly_df = df[df.target != str(CLASS_NORMAL)].drop(labels='target', axis=1)\n",
    "anomaly_df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fb6a835f",
   "metadata": {
    "id": "ILcJJwpda15z",
    "papermill": {
     "duration": 0.01371,
     "end_time": "2025-05-13T12:27:49.116623",
     "exception": false,
     "start_time": "2025-05-13T12:27:49.102913",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Разделим нормальные примеры на обучающую, валидационную и тестовую выборки:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "7acb2578",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:27:49.145152Z",
     "iopub.status.busy": "2025-05-13T12:27:49.144977Z",
     "iopub.status.idle": "2025-05-13T12:27:49.151442Z",
     "shell.execute_reply": "2025-05-13T12:27:49.150911Z"
    },
    "id": "n7kJ7C3IFWIV",
    "papermill": {
     "duration": 0.022171,
     "end_time": "2025-05-13T12:27:49.152557",
     "exception": false,
     "start_time": "2025-05-13T12:27:49.130386",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "train_df, val_df = train_test_split(\n",
    "  normal_df,\n",
    "  test_size=0.15,\n",
    "  random_state=RANDOM_SEED\n",
    ")\n",
    "\n",
    "val_df, test_df = train_test_split(\n",
    "  val_df,\n",
    "  test_size=0.33,\n",
    "  random_state=RANDOM_SEED\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0096f7a0",
   "metadata": {
    "id": "nWasRQ1dcAp4",
    "papermill": {
     "duration": 0.013553,
     "end_time": "2025-05-13T12:27:49.180033",
     "exception": false,
     "start_time": "2025-05-13T12:27:49.166480",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Нужно преобразовать примеры в тензоры, чтобы мы могли использовать их для обучения нашего автокодировщика. Напишем вспомогательную функцию для этого:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "54b28c5b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:27:49.208480Z",
     "iopub.status.busy": "2025-05-13T12:27:49.208282Z",
     "iopub.status.idle": "2025-05-13T12:27:49.212177Z",
     "shell.execute_reply": "2025-05-13T12:27:49.211582Z"
    },
    "id": "h2kKiIIeBwKb",
    "papermill": {
     "duration": 0.019361,
     "end_time": "2025-05-13T12:27:49.213414",
     "exception": false,
     "start_time": "2025-05-13T12:27:49.194053",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def create_dataset(df):\n",
    "\n",
    "  sequences = df.astype(np.float32).to_numpy().tolist()\n",
    "\n",
    "  dataset = [torch.tensor(s).unsqueeze(1).float() for s in sequences]\n",
    "\n",
    "  n_seq, seq_len, n_features = torch.stack(dataset).shape\n",
    "\n",
    "  return dataset, seq_len, n_features"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "492169bf",
   "metadata": {
    "id": "WT4BekX2g4L_",
    "papermill": {
     "duration": 0.014277,
     "end_time": "2025-05-13T12:27:49.242209",
     "exception": false,
     "start_time": "2025-05-13T12:27:49.227932",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Каждый временной ряд будет преобразован в 2D тензор формы *длина последовательности* (*sequence length*) x *количество признаков* (*number of features*) (140x1 в нашем случае).\n",
    "\n",
    "Создадим требуемые наборы данных:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "3adbf676",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:27:49.271680Z",
     "iopub.status.busy": "2025-05-13T12:27:49.271393Z",
     "iopub.status.idle": "2025-05-13T12:27:49.504072Z",
     "shell.execute_reply": "2025-05-13T12:27:49.503447Z"
    },
    "id": "Rb1UeUwbjmMD",
    "papermill": {
     "duration": 0.249113,
     "end_time": "2025-05-13T12:27:49.505557",
     "exception": false,
     "start_time": "2025-05-13T12:27:49.256444",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "train_dataset, seq_len, n_features = create_dataset(train_df)\n",
    "val_dataset, _, _ = create_dataset(val_df)\n",
    "test_normal_dataset, _, _ = create_dataset(test_df)\n",
    "test_anomaly_dataset, _, _ = create_dataset(anomaly_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e601509",
   "metadata": {
    "papermill": {
     "duration": 0.015301,
     "end_time": "2025-05-13T12:27:49.537020",
     "exception": false,
     "start_time": "2025-05-13T12:27:49.521719",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Создадим загрузчики данных:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "3c660676",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:27:49.566341Z",
     "iopub.status.busy": "2025-05-13T12:27:49.566104Z",
     "iopub.status.idle": "2025-05-13T12:27:49.570819Z",
     "shell.execute_reply": "2025-05-13T12:27:49.570104Z"
    },
    "id": "SAp1nkhqXWs0",
    "papermill": {
     "duration": 0.020546,
     "end_time": "2025-05-13T12:27:49.572003",
     "exception": false,
     "start_time": "2025-05-13T12:27:49.551457",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from torch.utils.data import DataLoader\n",
    "\n",
    "train_loader = DataLoader(\n",
    "    train_dataset,\n",
    "    batch_size=8,\n",
    "    shuffle=True\n",
    ")\n",
    "\n",
    "val_loader = DataLoader(\n",
    "    val_dataset,\n",
    "    batch_size=8,\n",
    "    shuffle=False\n",
    ")\n",
    "\n",
    "test_normal_loader = DataLoader(\n",
    "    test_normal_dataset,\n",
    "    batch_size=1,\n",
    "    shuffle=False\n",
    ")\n",
    "\n",
    "test_anomaly_loader = DataLoader(\n",
    "    test_anomaly_dataset,\n",
    "    batch_size=1,\n",
    "    shuffle=False\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "30622393",
   "metadata": {
    "id": "gLe1hXvRUSnA",
    "papermill": {
     "duration": 0.018531,
     "end_time": "2025-05-13T12:27:49.608342",
     "exception": false,
     "start_time": "2025-05-13T12:27:49.589811",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### LSTM-автоэнкодер\n",
    "\n",
    "![Autoencoder](https://lilianweng.github.io/lil-log/assets/images/autoencoder-architecture.png)\n",
    "*Архитектура автоэнкодера [Image Source](https://lilianweng.github.io/lil-log/2018/08/12/from-autoencoder-to-beta-vae.html)*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "7e62028e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:27:49.646754Z",
     "iopub.status.busy": "2025-05-13T12:27:49.646336Z",
     "iopub.status.idle": "2025-05-13T12:27:49.654790Z",
     "shell.execute_reply": "2025-05-13T12:27:49.653981Z"
    },
    "id": "X_f1WaTJhiXy",
    "papermill": {
     "duration": 0.025521,
     "end_time": "2025-05-13T12:27:49.656004",
     "exception": false,
     "start_time": "2025-05-13T12:27:49.630483",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "class Encoder(nn.Module):\n",
    "\n",
    "  def __init__(self, seq_len, n_features, embedding_dim=64):\n",
    "    super(Encoder, self).__init__()\n",
    "\n",
    "    self.seq_len, self.n_features = seq_len, n_features\n",
    "    self.embedding_dim, self.hidden_dim = embedding_dim, 2 * embedding_dim\n",
    "\n",
    "    self.rnn1 = nn.LSTM(\n",
    "      input_size=n_features,\n",
    "      hidden_size=self.hidden_dim,\n",
    "      num_layers=1,\n",
    "      batch_first=True\n",
    "    )\n",
    "\n",
    "    self.rnn2 = nn.LSTM(\n",
    "      input_size=self.hidden_dim,\n",
    "      hidden_size=embedding_dim,\n",
    "      num_layers=1,\n",
    "      batch_first=True\n",
    "    )\n",
    "\n",
    "  def forward(self, x):\n",
    "    x, (_, _) = self.rnn1(x)\n",
    "    x, (hidden_n, _) = self.rnn2(x)\n",
    "      \n",
    "    return hidden_n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4eafdca9",
   "metadata": {
    "id": "SgZpEEzfqxNp",
    "papermill": {
     "duration": 0.01403,
     "end_time": "2025-05-13T12:27:49.684524",
     "exception": false,
     "start_time": "2025-05-13T12:27:49.670494",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Общая архитектура автокодировщика состоит из двух компонентов. *Энкодер* (*Encoder*), который сжимает входные данные, и *декодер* (*Decoder*), который пытается восстановить их.\n",
    "\n",
    "Мы будем использовать LSTM-автокодировщик из [этого репозитория](https://github.com/shobrook/sequitur) с некоторыми небольшими изменениями. Задача нашей модели - восстанавливать данные временных рядов. Начнем с *энкодера* (*Encoder*)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1a0db54a",
   "metadata": {
    "id": "DysklqYmxTib",
    "papermill": {
     "duration": 0.020782,
     "end_time": "2025-05-13T12:27:49.720160",
     "exception": false,
     "start_time": "2025-05-13T12:27:49.699378",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "*Энкодер* использует два слоя LSTM для сжатия входных данных временных рядов.\n",
    "\n",
    "Далее, будем декодировать сжатое представление с помощью *декодера*:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "1e9ebdea",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:27:49.754625Z",
     "iopub.status.busy": "2025-05-13T12:27:49.754202Z",
     "iopub.status.idle": "2025-05-13T12:27:49.761651Z",
     "shell.execute_reply": "2025-05-13T12:27:49.760968Z"
    },
    "id": "AdEft7l3hk6S",
    "papermill": {
     "duration": 0.02421,
     "end_time": "2025-05-13T12:27:49.762860",
     "exception": false,
     "start_time": "2025-05-13T12:27:49.738650",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "class Decoder(nn.Module):\n",
    "\n",
    "  def __init__(self, seq_len, input_dim=64, n_features=1):\n",
    "    super(Decoder, self).__init__()\n",
    "\n",
    "    self.seq_len, self.input_dim = seq_len, input_dim\n",
    "    self.hidden_dim, self.n_features = 2 * input_dim, n_features\n",
    "\n",
    "    self.rnn1 = nn.LSTM(\n",
    "      input_size=input_dim,\n",
    "      hidden_size=input_dim,\n",
    "      num_layers=1,\n",
    "      batch_first=True\n",
    "    )\n",
    "\n",
    "    self.rnn2 = nn.LSTM(\n",
    "      input_size=input_dim,\n",
    "      hidden_size=self.hidden_dim,\n",
    "      num_layers=1,\n",
    "      batch_first=True\n",
    "    )\n",
    "\n",
    "    self.output_layer = nn.Linear(self.hidden_dim, n_features)\n",
    "\n",
    "  def forward(self, x):\n",
    "    x = torch.permute(x, (1, 0, 2))\n",
    "    x = x.repeat(1, self.seq_len, 1)\n",
    "\n",
    "    x, (hidden_n, cell_n) = self.rnn1(x)\n",
    "    x, (hidden_n, cell_n) = self.rnn2(x)\n",
    "\n",
    "    return self.output_layer(x)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "91265998",
   "metadata": {
    "id": "WUMb2NGZyTmi",
    "papermill": {
     "duration": 0.014138,
     "end_time": "2025-05-13T12:27:49.791085",
     "exception": false,
     "start_time": "2025-05-13T12:27:49.776947",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Наш декодер содержит два слоя LSTM и выходной слой, который дает итоговую реконструкцию.\n",
    "\n",
    "Теперь соберем всё в удобный для использования модуль:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "e2d7b690",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:27:49.821066Z",
     "iopub.status.busy": "2025-05-13T12:27:49.820384Z",
     "iopub.status.idle": "2025-05-13T12:27:49.826396Z",
     "shell.execute_reply": "2025-05-13T12:27:49.825616Z"
    },
    "id": "vgUChGd_A-Bv",
    "papermill": {
     "duration": 0.022564,
     "end_time": "2025-05-13T12:27:49.827919",
     "exception": false,
     "start_time": "2025-05-13T12:27:49.805355",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "class RecurrentAutoencoder(nn.Module):\n",
    "\n",
    "  def __init__(self, seq_len, n_features, embedding_dim=64):\n",
    "    super(RecurrentAutoencoder, self).__init__()\n",
    "\n",
    "    self.encoder = Encoder(seq_len, n_features, embedding_dim).to(device)\n",
    "    self.decoder = Decoder(seq_len, embedding_dim, n_features).to(device)\n",
    "\n",
    "  def forward(self, x):\n",
    "    x = self.encoder(x)\n",
    "    x = self.decoder(x)\n",
    "\n",
    "    return x"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "09a051ca",
   "metadata": {
    "id": "zT6Cwq78sOrI",
    "papermill": {
     "duration": 0.019582,
     "end_time": "2025-05-13T12:27:49.869704",
     "exception": false,
     "start_time": "2025-05-13T12:27:49.850122",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Наш автокодировщик пропускает входные данные через энкодер и декодер. Давайте создадим его экземпляр:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "3b07dfeb",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:27:49.902987Z",
     "iopub.status.busy": "2025-05-13T12:27:49.902744Z",
     "iopub.status.idle": "2025-05-13T12:27:50.186939Z",
     "shell.execute_reply": "2025-05-13T12:27:50.186112Z"
    },
    "id": "Mo0rvFqRBgnu",
    "papermill": {
     "duration": 0.301289,
     "end_time": "2025-05-13T12:27:50.188305",
     "exception": false,
     "start_time": "2025-05-13T12:27:49.887016",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "model = RecurrentAutoencoder(seq_len, n_features, 128)\n",
    "model = model.to(device)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e3487a2",
   "metadata": {
    "id": "n1ENnubQdnJN",
    "papermill": {
     "duration": 0.015024,
     "end_time": "2025-05-13T12:27:50.218297",
     "exception": false,
     "start_time": "2025-05-13T12:27:50.203273",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Обучение\n",
    "\n",
    "Напишем вспомогательную функцию для процесса обучения:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "d77580b2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:27:50.249850Z",
     "iopub.status.busy": "2025-05-13T12:27:50.249236Z",
     "iopub.status.idle": "2025-05-13T12:27:50.260003Z",
     "shell.execute_reply": "2025-05-13T12:27:50.259342Z"
    },
    "id": "ryEmRvl9DfEj",
    "papermill": {
     "duration": 0.027617,
     "end_time": "2025-05-13T12:27:50.261107",
     "exception": false,
     "start_time": "2025-05-13T12:27:50.233490",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def train_model(model, train_loader, val_loader, n_epochs):\n",
    "  optimizer = torch.optim.Adam(model.parameters(), lr=1e-3)\n",
    "  criterion = nn.L1Loss(reduction='sum').to(device)\n",
    "  history = dict(train=[], val=[])\n",
    "\n",
    "  best_model_wts = copy.deepcopy(model.state_dict())\n",
    "  best_loss = np.inf\n",
    "\n",
    "  for epoch in range(1, n_epochs + 1):\n",
    "    model = model.train()\n",
    "\n",
    "    train_losses = []\n",
    "\n",
    "    for seq_true in train_loader:\n",
    "      optimizer.zero_grad()\n",
    "\n",
    "      seq_true = seq_true.to(device)\n",
    "      seq_pred = model(seq_true)\n",
    "\n",
    "      loss = criterion(seq_pred, seq_true)\n",
    "\n",
    "      loss.backward()\n",
    "      optimizer.step()\n",
    "    \n",
    "      train_losses.append(loss.item() / seq_true.shape[0])\n",
    "\n",
    "    val_losses = []\n",
    "    model = model.eval()\n",
    "    with torch.no_grad():\n",
    "      for seq_true in val_loader:\n",
    "\n",
    "        seq_true = seq_true.to(device)\n",
    "        seq_pred = model(seq_true)\n",
    "\n",
    "        loss = criterion(seq_pred, seq_true)\n",
    "        val_losses.append(loss.item() / seq_true.shape[0])\n",
    "\n",
    "    train_loss = np.mean(train_losses)\n",
    "    val_loss = np.mean(val_losses)\n",
    "\n",
    "    history['train'].append(train_loss)\n",
    "    history['val'].append(val_loss)\n",
    "\n",
    "    if val_loss < best_loss:\n",
    "      best_loss = val_loss\n",
    "      best_model_wts = copy.deepcopy(model.state_dict())\n",
    "\n",
    "    print(f'Epoch {epoch}: train loss {train_loss} val loss {val_loss}')\n",
    "\n",
    "  model.load_state_dict(best_model_wts)\n",
    "  return model.eval(), history"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b1c28e8",
   "metadata": {
    "id": "7iWQrzV1ASpW",
    "papermill": {
     "duration": 0.014346,
     "end_time": "2025-05-13T12:27:50.290029",
     "exception": false,
     "start_time": "2025-05-13T12:27:50.275683",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "На каждой эпохе в процессе обучения через модель проходят все обучающие примеры и оценивается производительность на валидационном наборе. Также записываем потери на обучающем и валидационном наборах в процессе обучения.\n",
    "Исходный блокнот был создан под размер батча 1. Были внесены правки для использования батча произвольного размера.\n",
    "\n",
    "Обратите внимание, что минимизируется [L1Loss](https://pytorch.org/docs/stable/nn.html#l1loss), которая измеряет MAE (среднюю абсолютную ошибку). Реконструкции, похоже, получаются лучше, чем с MSE (средней квадратичной ошибкой).\n",
    "\n",
    "Будем сохранять версию модели с наименьшей ошибкой на валидационной выборке. Начнем обучение:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "2c27331a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:27:50.320349Z",
     "iopub.status.busy": "2025-05-13T12:27:50.319821Z",
     "iopub.status.idle": "2025-05-13T12:40:10.499339Z",
     "shell.execute_reply": "2025-05-13T12:40:10.498418Z"
    },
    "id": "saamYyUsHdw0",
    "outputId": "fe4b12a9-a1a2-4d5f-8e2d-3b01cf4c3122",
    "papermill": {
     "duration": 740.196282,
     "end_time": "2025-05-13T12:40:10.500772",
     "exception": false,
     "start_time": "2025-05-13T12:27:50.304490",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1: train loss 72.73335089484212 val loss 54.39328196757549\n",
      "Epoch 2: train loss 54.27364620441792 val loss 52.446053190489074\n",
      "Epoch 3: train loss 51.90844921590431 val loss 51.7138921583021\n",
      "Epoch 4: train loss 50.317964486370514 val loss 50.013039913692985\n",
      "Epoch 5: train loss 48.47901706756886 val loss 48.24819900925095\n",
      "Epoch 6: train loss 44.73618484693325 val loss 55.709781956028294\n",
      "Epoch 7: train loss 44.11400398794095 val loss 36.25999035190891\n",
      "Epoch 8: train loss 35.48908991675668 val loss 28.18951720160407\n",
      "Epoch 9: train loss 29.680530216916196 val loss 32.29669883315628\n",
      "Epoch 10: train loss 26.88078758264278 val loss 37.247762298583986\n",
      "Epoch 11: train loss 25.818951925664088 val loss 24.878846627312736\n",
      "Epoch 12: train loss 24.69596075934996 val loss 27.83409029986407\n",
      "Epoch 13: train loss 23.54195638944865 val loss 22.37495191419447\n",
      "Epoch 14: train loss 22.624876387249618 val loss 21.357176837405643\n",
      "Epoch 15: train loss 22.498280577337628 val loss 27.24380708642908\n",
      "Epoch 16: train loss 22.231901104427227 val loss 34.0721183055156\n",
      "Epoch 17: train loss 21.738505590383646 val loss 22.890163452560838\n",
      "Epoch 18: train loss 22.21712854820816 val loss 19.798838878322293\n",
      "Epoch 19: train loss 20.76299797683667 val loss 23.982741185781116\n",
      "Epoch 20: train loss 20.109038306969154 val loss 17.74193577122044\n",
      "Epoch 21: train loss 19.46155603598935 val loss 21.01415115562645\n",
      "Epoch 22: train loss 19.092624584578243 val loss 20.977906531256597\n",
      "Epoch 23: train loss 18.08742582069716 val loss 22.413504873739708\n",
      "Epoch 24: train loss 18.013324105854586 val loss 17.672452137921308\n",
      "Epoch 25: train loss 17.62552077363925 val loss 25.187046288155223\n",
      "Epoch 26: train loss 17.303872010332213 val loss 18.02714549399711\n",
      "Epoch 27: train loss 17.16499346705495 val loss 15.698700064581793\n",
      "Epoch 28: train loss 16.12028301337141 val loss 22.585400287525076\n",
      "Epoch 29: train loss 16.10578809903749 val loss 16.03545027552424\n",
      "Epoch 30: train loss 15.852811978944246 val loss 17.014566916388436\n",
      "Epoch 31: train loss 16.50184648519927 val loss 19.435386405120028\n",
      "Epoch 32: train loss 16.268969535827637 val loss 21.113060028488572\n",
      "Epoch 33: train loss 15.766815277541182 val loss 16.192182540893555\n",
      "Epoch 34: train loss 15.24450117522114 val loss 14.377326166307604\n",
      "Epoch 35: train loss 14.572824186834108 val loss 20.431469241992847\n",
      "Epoch 36: train loss 14.292201735199074 val loss 17.083573599119443\n",
      "Epoch 37: train loss 14.536136924645525 val loss 31.04971560916385\n",
      "Epoch 38: train loss 15.155070525656942 val loss 17.80553673409127\n",
      "Epoch 39: train loss 13.986344674775838 val loss 15.584300072128709\n",
      "Epoch 40: train loss 13.869787762019412 val loss 13.67501696509284\n",
      "Epoch 41: train loss 14.262391056661821 val loss 23.288878043922217\n",
      "Epoch 42: train loss 14.137128541707225 val loss 16.02147848799422\n",
      "Epoch 43: train loss 13.365720460652538 val loss 13.123915564047325\n",
      "Epoch 44: train loss 13.662956992146286 val loss 13.607599026448018\n",
      "Epoch 45: train loss 13.040424763964687 val loss 20.772426440264727\n",
      "Epoch 46: train loss 13.060822759793886 val loss 12.674631964193809\n",
      "Epoch 47: train loss 13.448798047767959 val loss 13.556596632261535\n",
      "Epoch 48: train loss 12.933824140542573 val loss 15.157757470414444\n",
      "Epoch 49: train loss 12.680959210901781 val loss 15.99766025543213\n",
      "Epoch 50: train loss 12.599079282337446 val loss 13.776267778551256\n",
      "Epoch 51: train loss 12.853777811841566 val loss 13.984471063356143\n",
      "Epoch 52: train loss 12.491215146239547 val loss 12.607345307839882\n",
      "Epoch 53: train loss 12.22730253287067 val loss 12.055599011601629\n",
      "Epoch 54: train loss 12.432939400626916 val loss 14.475905521495923\n",
      "Epoch 55: train loss 12.511785867513185 val loss 16.86266554239634\n",
      "Epoch 56: train loss 12.30046439554147 val loss 14.25053183581378\n",
      "Epoch 57: train loss 12.038402348852618 val loss 12.492734001778269\n",
      "Epoch 58: train loss 11.796455371034874 val loss 12.244879774145177\n",
      "Epoch 59: train loss 12.525115411764556 val loss 15.013563815967457\n",
      "Epoch 60: train loss 12.325185180860316 val loss 12.712107173816577\n",
      "Epoch 61: train loss 12.082073843364164 val loss 18.257564142588024\n",
      "Epoch 62: train loss 12.03230110855348 val loss 15.575167181685165\n",
      "Epoch 63: train loss 12.155889120132594 val loss 11.737963315602896\n",
      "Epoch 64: train loss 11.593535398746994 val loss 11.977709002108186\n",
      "Epoch 65: train loss 12.039842728249896 val loss 15.98088345398774\n",
      "Epoch 66: train loss 11.566708049590181 val loss 13.104512967290106\n",
      "Epoch 67: train loss 11.631018253767989 val loss 22.409802380123654\n",
      "Epoch 68: train loss 11.775229734623164 val loss 13.642875320846969\n",
      "Epoch 69: train loss 11.491531278542768 val loss 11.40414697286245\n",
      "Epoch 70: train loss 11.083273924432 val loss 16.71804751318854\n",
      "Epoch 71: train loss 11.628187058439591 val loss 25.04481115598936\n",
      "Epoch 72: train loss 12.553768605664612 val loss 14.970811838717072\n",
      "Epoch 73: train loss 11.965773945836009 val loss 16.50412040916649\n",
      "Epoch 74: train loss 12.573050646153293 val loss 14.221678775065655\n",
      "Epoch 75: train loss 12.285135827263835 val loss 13.445895906396816\n",
      "Epoch 76: train loss 11.988450231276142 val loss 15.810914457166518\n",
      "Epoch 77: train loss 12.08367637959324 val loss 11.570116883355219\n",
      "Epoch 78: train loss 11.14306711920588 val loss 14.300475873173895\n",
      "Epoch 79: train loss 11.457285418004469 val loss 16.619100214983966\n",
      "Epoch 80: train loss 11.028266087988948 val loss 10.931869499103442\n",
      "Epoch 81: train loss 11.038470203853496 val loss 11.269033694911647\n",
      "Epoch 82: train loss 10.94163231834338 val loss 12.037617626705686\n",
      "Epoch 83: train loss 10.735265967930244 val loss 12.755539182714513\n",
      "Epoch 84: train loss 11.24641377059593 val loss 14.172301246024468\n",
      "Epoch 85: train loss 11.02219751793472 val loss 20.63309499379751\n",
      "Epoch 86: train loss 10.846979743798062 val loss 14.15962490391087\n",
      "Epoch 87: train loss 10.47036373500272 val loss 16.025977500709327\n",
      "Epoch 88: train loss 10.869280988380456 val loss 13.44426249942264\n",
      "Epoch 89: train loss 11.152032314006155 val loss 13.572678859813793\n",
      "Epoch 90: train loss 10.449599215455377 val loss 15.02737996900404\n",
      "Epoch 91: train loss 10.729066933082997 val loss 11.732193544748666\n",
      "Epoch 92: train loss 10.622089634370957 val loss 11.859800153165251\n",
      "Epoch 93: train loss 10.17371792041987 val loss 13.107238991196091\n",
      "Epoch 94: train loss 10.425780917287256 val loss 11.599242777437777\n",
      "Epoch 95: train loss 11.052367869680717 val loss 11.908205016883644\n",
      "Epoch 96: train loss 9.944945016474586 val loss 11.180204208477123\n",
      "Epoch 97: train loss 10.381971650568236 val loss 10.540821317724278\n",
      "Epoch 98: train loss 10.148062437676924 val loss 9.928779764433164\n",
      "Epoch 99: train loss 9.989710203704343 val loss 13.430582629023371\n",
      "Epoch 100: train loss 10.350045245560036 val loss 14.897745848990775\n",
      "Epoch 101: train loss 10.224333983908895 val loss 10.937693441236341\n",
      "Epoch 102: train loss 9.95011264181597 val loss 11.379912948608398\n",
      "Epoch 103: train loss 10.192078788180826 val loss 10.181827349276155\n",
      "Epoch 104: train loss 9.526738044150006 val loss 12.814035786809148\n",
      "Epoch 105: train loss 9.712825071390036 val loss 10.896973713024243\n",
      "Epoch 106: train loss 10.340015233521292 val loss 13.663755391095135\n",
      "Epoch 107: train loss 9.765897022566229 val loss 12.383313034676217\n",
      "Epoch 108: train loss 10.44186626446592 val loss 13.221457068984574\n",
      "Epoch 109: train loss 9.849267999458926 val loss 12.24641109157253\n",
      "Epoch 110: train loss 9.379168876881002 val loss 15.193718245222763\n",
      "Epoch 111: train loss 9.90620336501928 val loss 10.452569415118244\n",
      "Epoch 112: train loss 10.408052064214871 val loss 16.77684937554437\n",
      "Epoch 113: train loss 9.54169101040463 val loss 12.131384483543602\n",
      "Epoch 114: train loss 9.433739712767279 val loss 9.90701856870909\n",
      "Epoch 115: train loss 9.550556589169517 val loss 10.661753608085013\n",
      "Epoch 116: train loss 10.028182721214662 val loss 10.584601304337784\n",
      "Epoch 117: train loss 9.563710917997208 val loss 10.182366095362482\n",
      "Epoch 118: train loss 9.30688129283991 val loss 10.089069652557374\n",
      "Epoch 119: train loss 9.427779734326329 val loss 9.933130163759799\n",
      "Epoch 120: train loss 10.11006048024659 val loss 10.305202007293701\n",
      "Epoch 121: train loss 9.736041401743506 val loss 10.09266102249558\n",
      "Epoch 122: train loss 9.546274629819814 val loss 14.885703607507656\n",
      "Epoch 123: train loss 9.931829607371732 val loss 9.599908795227876\n",
      "Epoch 124: train loss 9.585041406453614 val loss 11.917868103852143\n",
      "Epoch 125: train loss 8.820482520811812 val loss 10.469856813791635\n",
      "Epoch 126: train loss 9.963379853791363 val loss 11.848583350310454\n",
      "Epoch 127: train loss 9.3400307452947 val loss 12.009137550560203\n",
      "Epoch 128: train loss 9.642825644882546 val loss 9.813233334309345\n",
      "Epoch 129: train loss 9.158833387197022 val loss 9.51852451015163\n",
      "Epoch 130: train loss 9.262905990195812 val loss 9.744862597697491\n",
      "Epoch 131: train loss 9.673451626032495 val loss 11.674890301678632\n",
      "Epoch 132: train loss 9.368393171255228 val loss 9.504533672332764\n",
      "Epoch 133: train loss 9.257583158192528 val loss 9.905192344253129\n",
      "Epoch 134: train loss 9.186759717211462 val loss 9.967284393310546\n",
      "Epoch 135: train loss 8.731700276255225 val loss 11.648085413752375\n",
      "Epoch 136: train loss 9.029661180122107 val loss 12.543749046325683\n",
      "Epoch 137: train loss 9.568628346421711 val loss 9.501536923485833\n",
      "Epoch 138: train loss 8.670663963943433 val loss 9.720243964324126\n",
      "Epoch 139: train loss 9.562973094523144 val loss 9.627973445686134\n",
      "Epoch 140: train loss 8.704138009111213 val loss 12.51800341735015\n",
      "Epoch 141: train loss 8.946381248461854 val loss 9.44946854307845\n",
      "Epoch 142: train loss 9.631062279176865 val loss 13.384994274861103\n",
      "Epoch 143: train loss 8.976610729548709 val loss 12.125452866425386\n",
      "Epoch 144: train loss 9.728150350871193 val loss 9.94935474395752\n",
      "Epoch 145: train loss 9.12926483000973 val loss 10.487639303465148\n",
      "Epoch 146: train loss 8.977946631011472 val loss 14.033962858045424\n",
      "Epoch 147: train loss 8.79143642842578 val loss 9.295134294355238\n",
      "Epoch 148: train loss 8.740395184115199 val loss 10.701987274273023\n",
      "Epoch 149: train loss 9.579039533805235 val loss 14.23686004329372\n",
      "Epoch 150: train loss 9.442157519975275 val loss 9.498570303014807\n"
     ]
    }
   ],
   "source": [
    "model, history = train_model(\n",
    "  model,\n",
    "  train_loader,\n",
    "  val_loader,\n",
    "  n_epochs=150\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "5804e7c5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:40:10.543310Z",
     "iopub.status.busy": "2025-05-13T12:40:10.542368Z",
     "iopub.status.idle": "2025-05-13T12:40:10.967763Z",
     "shell.execute_reply": "2025-05-13T12:40:10.967077Z"
    },
    "id": "uztvlmNkQSUE",
    "papermill": {
     "duration": 0.453001,
     "end_time": "2025-05-13T12:40:10.974533",
     "exception": false,
     "start_time": "2025-05-13T12:40:10.521532",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 717,
       "width": 1012
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plt.figure().gca()\n",
    "\n",
    "ax.plot(history['train'])\n",
    "ax.plot(history['val'])\n",
    "plt.ylabel('Loss')\n",
    "plt.xlabel('Epoch')\n",
    "plt.legend(['train', 'test'])\n",
    "plt.title('Loss over training epochs')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca6b06ad",
   "metadata": {
    "id": "X2IGZFBEVJjq",
    "papermill": {
     "duration": 0.023296,
     "end_time": "2025-05-13T12:40:11.033238",
     "exception": false,
     "start_time": "2025-05-13T12:40:11.009942",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Наша модель обучается довольно хорошо. Похоже, что нам, возможно, понадобился бы больший валидационный набор для сглаживания результатов, но пока этого достаточно."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5954b88e",
   "metadata": {
    "id": "pmoaNSERn09J",
    "papermill": {
     "duration": 0.022573,
     "end_time": "2025-05-13T12:40:11.078291",
     "exception": false,
     "start_time": "2025-05-13T12:40:11.055718",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Сохранение модели\n",
    "Сохраним модель для последующего использования:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "6442170d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:40:11.124428Z",
     "iopub.status.busy": "2025-05-13T12:40:11.124180Z",
     "iopub.status.idle": "2025-05-13T12:40:11.134881Z",
     "shell.execute_reply": "2025-05-13T12:40:11.134380Z"
    },
    "id": "tLC_ClIpnv9H",
    "papermill": {
     "duration": 0.035179,
     "end_time": "2025-05-13T12:40:11.135974",
     "exception": false,
     "start_time": "2025-05-13T12:40:11.100795",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "MODEL_PATH = 'model.pth'\n",
    "\n",
    "torch.save(model, MODEL_PATH)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bbbc166e",
   "metadata": {
    "id": "EwLujPFXT054",
    "papermill": {
     "duration": 0.022126,
     "end_time": "2025-05-13T12:40:11.180227",
     "exception": false,
     "start_time": "2025-05-13T12:40:11.158101",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Выбор порогового значения\n",
    "Имея модель, можем взглянуть на ошибку реконструкции на обучающем наборе. Давайте начнем с написания вспомогательной функции для получения предсказаний нашей модели:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "da19d025",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:40:11.225658Z",
     "iopub.status.busy": "2025-05-13T12:40:11.225058Z",
     "iopub.status.idle": "2025-05-13T12:40:11.229793Z",
     "shell.execute_reply": "2025-05-13T12:40:11.229283Z"
    },
    "id": "AAhYZy9bRNLM",
    "papermill": {
     "duration": 0.028308,
     "end_time": "2025-05-13T12:40:11.230761",
     "exception": false,
     "start_time": "2025-05-13T12:40:11.202453",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def predict(model, dataloader):\n",
    "  predictions, losses = [], []\n",
    "  criterion = nn.L1Loss(reduction='sum').to(device)\n",
    "    \n",
    "  with torch.no_grad():\n",
    "    model = model.eval()\n",
    "    for seq_true in dataloader:\n",
    "      seq_true = seq_true.to(device)\n",
    "      seq_pred = model(seq_true)\n",
    "\n",
    "      loss = criterion(seq_pred, seq_true)\n",
    "\n",
    "      predictions.append(seq_pred.cpu().numpy().flatten())\n",
    "      losses.append(loss.item())\n",
    "  return predictions, losses"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "de671cd4",
   "metadata": {
    "id": "wVnNtIreDXf5",
    "papermill": {
     "duration": 0.022766,
     "end_time": "2025-05-13T12:40:11.276046",
     "exception": false,
     "start_time": "2025-05-13T12:40:11.253280",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Функция predict обрабатывает каждый пример в наборе данных и записывает предсказания и потери. Давайте получим потери и рассмотрим их:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "4358a29c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:40:11.321585Z",
     "iopub.status.busy": "2025-05-13T12:40:11.321356Z",
     "iopub.status.idle": "2025-05-13T12:40:26.401641Z",
     "shell.execute_reply": "2025-05-13T12:40:26.400934Z"
    },
    "id": "pvn141SDS33P",
    "papermill": {
     "duration": 15.105939,
     "end_time": "2025-05-13T12:40:26.404007",
     "exception": false,
     "start_time": "2025-05-13T12:40:11.298068",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_19/4132463477.py:11: UserWarning: \n",
      "\n",
      "`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n",
      "\n",
      "Please adapt your code to use either `displot` (a figure-level function with\n",
      "similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "\n",
      "For a guide to updating your code to use the new functions, please see\n",
      "https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n",
      "\n",
      "  sns.distplot(losses, bins=50, kde=True);\n",
      "/usr/local/lib/python3.11/dist-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 667,
       "width": 1041
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Создадим отдельный dataloader, загружающий один пример,\n",
    "# чтобы оценить MAE на единичном сигнале, а не на батче\n",
    "train_loader_one_element = DataLoader(\n",
    "    train_dataset,\n",
    "    batch_size=1,\n",
    "    shuffle=True\n",
    ")\n",
    "\n",
    "_, losses = predict(model, train_loader_one_element)\n",
    "\n",
    "sns.distplot(losses, bins=50, kde=True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "ee8d4678",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:40:26.457042Z",
     "iopub.status.busy": "2025-05-13T12:40:26.456838Z",
     "iopub.status.idle": "2025-05-13T12:40:26.460250Z",
     "shell.execute_reply": "2025-05-13T12:40:26.459591Z"
    },
    "id": "MjSCtDZ8_xGB",
    "papermill": {
     "duration": 0.030667,
     "end_time": "2025-05-13T12:40:26.461342",
     "exception": false,
     "start_time": "2025-05-13T12:40:26.430675",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "THRESHOLD = 26"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9ccac5ef",
   "metadata": {
    "id": "mw2dm631T4a5",
    "papermill": {
     "duration": 0.023194,
     "end_time": "2025-05-13T12:40:26.508127",
     "exception": false,
     "start_time": "2025-05-13T12:40:26.484933",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Оценка\n",
    "Используя пороговое значение, можно переформулировать проблему в простую задачу бинарной классификации:\n",
    "\n",
    "- Если ошибка реконструкции для примера ниже порогового значения, мы классифицируем его как *нормальное* сердцебиение\n",
    "- Если ошибка выше порогового значения, мы классифицируем его как *аномалию*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b86d8f90",
   "metadata": {
    "id": "k94t9U3X7uVA",
    "papermill": {
     "duration": 0.023302,
     "end_time": "2025-05-13T12:40:26.554759",
     "exception": false,
     "start_time": "2025-05-13T12:40:26.531457",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Нормальные сердцебиения\n",
    "Давайте проверим, насколько хорошо наша модель справляется с нормальными сердцебиениями. Мы будем использовать нормальные сердцебиения из тестового набора (которые модель ещё не видела):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "545ad1f3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:40:26.602240Z",
     "iopub.status.busy": "2025-05-13T12:40:26.602038Z",
     "iopub.status.idle": "2025-05-13T12:40:27.915518Z",
     "shell.execute_reply": "2025-05-13T12:40:27.914864Z"
    },
    "id": "-z630B5v7Fid",
    "papermill": {
     "duration": 1.339452,
     "end_time": "2025-05-13T12:40:27.917582",
     "exception": false,
     "start_time": "2025-05-13T12:40:26.578130",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_19/1135353705.py:3: UserWarning: \n",
      "\n",
      "`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n",
      "\n",
      "Please adapt your code to use either `displot` (a figure-level function with\n",
      "similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "\n",
      "For a guide to updating your code to use the new functions, please see\n",
      "https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n",
      "\n",
      "  sns.distplot(pred_losses, bins=50, kde=True);\n",
      "/usr/local/lib/python3.11/dist-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 667,
       "width": 1029
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Загрузчик test_normal_loader загружает по одному сигналу\n",
    "predictions, pred_losses = predict(model, test_normal_loader)\n",
    "sns.distplot(pred_losses, bins=50, kde=True);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e6faa9ed",
   "metadata": {
    "id": "xCmzETkkLLvh",
    "papermill": {
     "duration": 0.026179,
     "end_time": "2025-05-13T12:40:27.971352",
     "exception": false,
     "start_time": "2025-05-13T12:40:27.945173",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Посчитаем правильные предсказания:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "cdd440fa",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:40:28.023992Z",
     "iopub.status.busy": "2025-05-13T12:40:28.023703Z",
     "iopub.status.idle": "2025-05-13T12:40:28.028120Z",
     "shell.execute_reply": "2025-05-13T12:40:28.027324Z"
    },
    "id": "BR-hcvUP7OBt",
    "papermill": {
     "duration": 0.032249,
     "end_time": "2025-05-13T12:40:28.029219",
     "exception": false,
     "start_time": "2025-05-13T12:40:27.996970",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Correct normal predictions: 142/145\n"
     ]
    }
   ],
   "source": [
    "correct = sum(l <= THRESHOLD for l in pred_losses)\n",
    "print(f'Correct normal predictions: {correct}/{len(test_normal_loader)}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b950231d",
   "metadata": {
    "id": "hYbH8iEz7wmh",
    "papermill": {
     "duration": 0.024473,
     "end_time": "2025-05-13T12:40:28.078572",
     "exception": false,
     "start_time": "2025-05-13T12:40:28.054099",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Аномалии"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9fbb60d2",
   "metadata": {
    "id": "hidyhcu6zC8-",
    "papermill": {
     "duration": 0.024613,
     "end_time": "2025-05-13T12:40:28.127284",
     "exception": false,
     "start_time": "2025-05-13T12:40:28.102671",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Сделаем то же самое с примерами аномалий, но их количество намного больше. Возьмем подмножество, которое имеет тот же размер, что и нормальные сердцебиения:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "b6485593",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:40:28.177541Z",
     "iopub.status.busy": "2025-05-13T12:40:28.177300Z",
     "iopub.status.idle": "2025-05-13T12:40:28.180829Z",
     "shell.execute_reply": "2025-05-13T12:40:28.180287Z"
    },
    "id": "WJcg5DXWyiep",
    "papermill": {
     "duration": 0.029788,
     "end_time": "2025-05-13T12:40:28.181830",
     "exception": false,
     "start_time": "2025-05-13T12:40:28.152042",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "anomaly_dataset = test_anomaly_dataset[:len(test_normal_dataset)]\n",
    "\n",
    "anomaly_loader = DataLoader(\n",
    "    anomaly_dataset,\n",
    "    batch_size=1,\n",
    "    shuffle=False\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a5fa2ea",
   "metadata": {
    "id": "gcBoplGU0hR8",
    "papermill": {
     "duration": 0.026028,
     "end_time": "2025-05-13T12:40:28.232718",
     "exception": false,
     "start_time": "2025-05-13T12:40:28.206690",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Теперь мы можем получить предсказания нашей модели для подмножества аномалий:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "aed33275",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:40:28.282671Z",
     "iopub.status.busy": "2025-05-13T12:40:28.282419Z",
     "iopub.status.idle": "2025-05-13T12:40:29.613061Z",
     "shell.execute_reply": "2025-05-13T12:40:29.612347Z"
    },
    "id": "tLCuS8oL7hG2",
    "papermill": {
     "duration": 1.3578,
     "end_time": "2025-05-13T12:40:29.615309",
     "exception": false,
     "start_time": "2025-05-13T12:40:28.257509",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_19/886031801.py:2: UserWarning: \n",
      "\n",
      "`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n",
      "\n",
      "Please adapt your code to use either `displot` (a figure-level function with\n",
      "similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "\n",
      "For a guide to updating your code to use the new functions, please see\n",
      "https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n",
      "\n",
      "  sns.distplot(pred_losses, bins=50, kde=True);\n",
      "/usr/local/lib/python3.11/dist-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\n",
      "  with pd.option_context('mode.use_inf_as_na', True):\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 667,
       "width": 1041
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "predictions, pred_losses = predict(model, anomaly_loader)\n",
    "sns.distplot(pred_losses, bins=50, kde=True);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3177af84",
   "metadata": {
    "id": "EkgGXs4E06so",
    "papermill": {
     "duration": 0.026887,
     "end_time": "2025-05-13T12:40:29.670570",
     "exception": false,
     "start_time": "2025-05-13T12:40:29.643683",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Наконец, подсчитаем количество примеров, превышающих порог (рассматриваемых как аномалии):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "190b1a56",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:40:29.723804Z",
     "iopub.status.busy": "2025-05-13T12:40:29.723558Z",
     "iopub.status.idle": "2025-05-13T12:40:29.728050Z",
     "shell.execute_reply": "2025-05-13T12:40:29.727314Z"
    },
    "id": "_NEUmDoM8M6q",
    "papermill": {
     "duration": 0.032572,
     "end_time": "2025-05-13T12:40:29.729099",
     "exception": false,
     "start_time": "2025-05-13T12:40:29.696527",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Correct anomaly predictions: 145/145\n"
     ]
    }
   ],
   "source": [
    "correct = sum(l > THRESHOLD for l in pred_losses)\n",
    "print(f'Correct anomaly predictions: {correct}/{len(anomaly_loader)}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d801053",
   "metadata": {
    "id": "v0PfwvTZ23_s",
    "papermill": {
     "duration": 0.026368,
     "end_time": "2025-05-13T12:40:29.781954",
     "exception": false,
     "start_time": "2025-05-13T12:40:29.755586",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Действительно, у нас очень хорошие результаты. В реальном мире можно настраивать пороговое значение в зависимости от того, какие типы ошибок вы готовы допустить. В данном случае, возможно, лучше иметь больше ложноположительных результатов (нормальные сердцебиения, классифицированные как аномалии), чем ложноотрицательных (аномалии, классифицированные как нормальные)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ef3a0631",
   "metadata": {
    "id": "KrW0seHZ72Mu",
    "papermill": {
     "duration": 0.026751,
     "end_time": "2025-05-13T12:40:29.835240",
     "exception": false,
     "start_time": "2025-05-13T12:40:29.808489",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "#### Анализ примеров\n",
    "Можно наложить реальные и реконструированные значения временных рядов, чтобы увидеть, насколько они близки. Сделаем это для нескольких нормальных случаев и случаев с аномалиями:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "6bea0970",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:40:29.888905Z",
     "iopub.status.busy": "2025-05-13T12:40:29.888374Z",
     "iopub.status.idle": "2025-05-13T12:40:29.892274Z",
     "shell.execute_reply": "2025-05-13T12:40:29.891745Z"
    },
    "id": "gBRWRk6WWdNC",
    "papermill": {
     "duration": 0.032551,
     "end_time": "2025-05-13T12:40:29.893421",
     "exception": false,
     "start_time": "2025-05-13T12:40:29.860870",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def plot_prediction(data, model, title, ax):\n",
    "  predictions, pred_losses = predict(model, [data])\n",
    "\n",
    "  ax.plot(data[0], label='true')\n",
    "  ax.plot(predictions[0], label='reconstructed')\n",
    "  ax.set_title(f'{title} (loss: {np.around(pred_losses[0], 2)})')\n",
    "  ax.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "f94552e7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-05-13T12:40:29.947661Z",
     "iopub.status.busy": "2025-05-13T12:40:29.947237Z",
     "iopub.status.idle": "2025-05-13T12:40:32.794979Z",
     "shell.execute_reply": "2025-05-13T12:40:32.794169Z"
    },
    "id": "ZnN1K63BYomX",
    "papermill": {
     "duration": 2.883082,
     "end_time": "2025-05-13T12:40:32.802867",
     "exception": false,
     "start_time": "2025-05-13T12:40:29.919785",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 2200x800 with 12 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 777,
       "width": 2176
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(\n",
    "  nrows=2,\n",
    "  ncols=6,\n",
    "  sharey=True,\n",
    "  sharex=True,\n",
    "  figsize=(22, 8)\n",
    ")\n",
    "\n",
    "\n",
    "test_normal_loader_one_element = DataLoader(\n",
    "    test_normal_dataset[:6],\n",
    "    batch_size=1,\n",
    "    shuffle=False\n",
    ")\n",
    "\n",
    "test_anomaly_loader_one_element = DataLoader(\n",
    "    test_anomaly_dataset[:6],\n",
    "    batch_size=1,\n",
    "    shuffle=False\n",
    ")\n",
    "\n",
    "\n",
    "for i, data in enumerate(test_normal_loader_one_element):\n",
    "  plot_prediction(data, model, title='Normal', ax=axs[0, i])\n",
    "\n",
    "for i, data in enumerate(test_anomaly_loader_one_element):\n",
    "  plot_prediction(data, model, title='Anomaly', ax=axs[1, i])\n",
    "\n",
    "fig.tight_layout();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51f123ce",
   "metadata": {
    "id": "dC1-69KD2lQ0",
    "papermill": {
     "duration": 0.035022,
     "end_time": "2025-05-13T12:40:32.876066",
     "exception": false,
     "start_time": "2025-05-13T12:40:32.841044",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Краткие выводы к блокноту\n",
    "В этом руководстве вы узнали, как создать LSTM-автокодировщик с помощью PyTorch и использовать его для обнаружения аномалий сердцебиения в данных ЭКГ.\n",
    "\n",
    "- [Read the tutorial](https://www.curiousily.com/posts/time-series-anomaly-detection-using-lstm-autoencoder-with-pytorch-in-python/)\n",
    "- [Run the notebook in your browser (Google Colab)](https://colab.research.google.com/drive/1_J2MrBSvsJfOcVmYAN2-WSp36BtsFZCa)\n",
    "- [Read the Getting Things Done with Pytorch book](https://github.com/curiousily/Getting-Things-Done-with-Pytorch)\n",
    "\n",
    "Вы научились:\n",
    "- Подготавливать набор данных для обнаружения аномалий во временных рядах\n",
    "- Создавать LSTM-автокодировщик с помощью PyTorch\n",
    "- Обучать и оценивать вашу модель\n",
    "- Выбирать порог для обнаружения аномалий\n",
    "- Классифицировать новые примеры как нормальные или аномальные\n",
    "- Хотя наши данные временных рядов являются одномерными (у нас только 1 признак), код должен работать для многомерных наборов данных (несколько признаков) с небольшими изменениями или без них."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a7694aa5",
   "metadata": {
    "id": "9icnPwTOW9RF",
    "papermill": {
     "duration": 0.032659,
     "end_time": "2025-05-13T12:40:32.942687",
     "exception": false,
     "start_time": "2025-05-13T12:40:32.910028",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Ссылки, приведенные в исходном блокноте\n",
    "\n",
    "- [Sequitur - Recurrent Autoencoder (RAE)](https://github.com/shobrook/sequitur)\n",
    "- [Towards Never-Ending Learning from Time Series Streams](https://www.cs.ucr.edu/~eamonn/neverending.pdf)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f2e7058",
   "metadata": {
    "papermill": {
     "duration": 0.032871,
     "end_time": "2025-05-13T12:40:33.008803",
     "exception": false,
     "start_time": "2025-05-13T12:40:32.975932",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Полезные материалы\n",
    "- [Интерактивная визуализация детекции аномалий с помощью автоэнкодеров](https://anomagram.fastforwardlabs.com/#/)\n",
    "- [Пример использования автоэнкодеров для детекции аномалий во временных рядах](https://www.luxoft.com/blog/advanced-anomaly-detection-deep-learning-pytorch)\n",
    "- [Репозиторий с реализацией вариационного автоэнкодера для временных рядов](https://github.com/tejaslodaya/timeseries-clustering-vae)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e57bc11e",
   "metadata": {
    "papermill": {
     "duration": 0.033308,
     "end_time": "2025-05-13T12:40:33.075792",
     "exception": false,
     "start_time": "2025-05-13T12:40:33.042484",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Задание\n",
    "Обучите LSTM-автоэнкодер на датасете [ECG Heartbeat Categorization Dataset](https://www.kaggle.com/datasets/shayanfazeli/heartbeat) (либо любом другом интересном вам датасете). Удобно использовать подвыборку Arrhythmia Dataset (Physionet's MIT-BIH Arrhythmia Dataset - файлы `mitbih_train.csv`, `mitbih_test.csv`).\n",
    "\n",
    "Загрузку данных удобно сделать с помощью pd.read_csv:\n",
    "`train = pd.read_csv(\"mitbih_train.csv\", header=None)`\n",
    "\n",
    "В последнем столбце csv-файлов содержатся метки классов.\n",
    "\n",
    "Для ускорения обучения задайте батч большого размера.\n",
    "\n",
    "Покажите различия в ошибке реконструкции на нормальных и аномальных данных.\n",
    "\n",
    "Можно модифицировать архитектуру модели, добавить предварительное масштабирование данных (например, minmax scaling transform, если ваши данные это требуют), попробовать поработать с многоканальными данными."
   ]
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "provenance": []
  },
  "kaggle": {
   "accelerator": "gpu",
   "dataSources": [],
   "dockerImageVersionId": 31011,
   "isGpuEnabled": true,
   "isInternetEnabled": true,
   "language": "python",
   "sourceType": "notebook"
  },
  "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": "3.11.11"
  },
  "papermill": {
   "default_parameters": {},
   "duration": 790.610626,
   "end_time": "2025-05-13T12:40:36.039708",
   "environment_variables": {},
   "exception": null,
   "input_path": "__notebook__.ipynb",
   "output_path": "__notebook__.ipynb",
   "parameters": {},
   "start_time": "2025-05-13T12:27:25.429082",
   "version": "2.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}