{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/ArtemMareev/c8fdf105235b5717c4ff45c90c0f1d57/-_-_-_-_.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "id": "WyccwPt8PIhj"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "from numpy import sin, cos, tan, pi, random, sum, polyfit\n",
        "from numpy.random import normal\n",
        "from numpy.linalg import inv, pinv\n",
        "import matplotlib.pyplot as plt\n",
        "from scipy.ndimage import median_filter\n",
        "from scipy.stats import pearsonr, linregress, shapiro, iqr\n",
        "\n",
        "# Скрипт расчетного эксперимента к статье \"Исследование точности системы слежения\n",
        "# за вертикальными смещениями на основе алгоритмов компьютерного зрения\",\n",
        "# Вестник СГУГиТ, Мареев А. В., Попков М. А., Янгалышев В. Р.,\n",
        "# Мамаев Д. С., Каргина Л.\n",
        "# Нотации: LP - лазерный пучок, LW - зрачок лазера"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Загрузка данных и пример обработки результата записи видеопотока с датчика вертикальных перемещений"
      ],
      "metadata": {
        "id": "LNfC2zbO4UNF"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "%%capture\n",
        "!pip install osfclient  # установка клиента для хранилища данных OSF\n",
        "# Исходные файлы проекта доступны по ссылке: https://osf.io/na4fw/"
      ],
      "metadata": {
        "id": "NF8XPbcKt4JW"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": 33,
      "metadata": {
        "id": "YdgCsa1JVyJr",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "bd822f91-ee73-4ba7-81a5-b4825265f281"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "100% 1.51M/1.51M [00:00<00:00, 2.25Mbytes/s]\n",
            "100% 4.33M/4.33M [00:00<00:00, 5.33Mbytes/s]\n",
            "100% 3.75M/3.75M [00:00<00:00, 4.78Mbytes/s]\n",
            "100% 106k/106k [00:00<00:00, 460kbytes/s] \n",
            "100% 1.93M/1.93M [00:00<00:00, 2.85Mbytes/s]\n",
            "100% 1.26M/1.26M [00:00<00:00, 2.05Mbytes/s]\n",
            "100% 930k/930k [00:00<00:00, 1.63Mbytes/s]\n",
            "100% 650k/650k [00:00<00:00, 1.28Mbytes/s]\n",
            "100% 2.36M/2.36M [00:00<00:00, 3.26Mbytes/s]\n",
            "100% 956k/956k [00:00<00:00, 1.66Mbytes/s]\n",
            "100% 915k/915k [00:00<00:00, 1.61Mbytes/s]\n",
            "100% 1.28M/1.28M [00:00<00:00, 2.06Mbytes/s]\n",
            "usage: osf fetch [-h] [-f] [-U] remote [local]\n",
            "osf fetch: error: Local file down.csv already exists, not overwriting.\n",
            "100% 1.27M/1.27M [00:00<00:00, 1.94Mbytes/s]\n",
            "100% 493k/493k [00:00<00:00, 1.04Mbytes/s]\n"
          ]
        }
      ],
      "source": [
        "#Загрузка файлов результатов обработки видеозаписей с датчика\n",
        "#вертикальных перемещений с хранилища OSF\n",
        "\n",
        "files_to_download=['2025_07_05_17_23_30.csv', '2025_07_05_17_03_32.csv',\n",
        "                   '2025_06_30_19_57_47.csv', '2025_06_26_18_52_01.csv',\n",
        "                   '2025_06_26_18_36_43.csv', '2025_06_26_18_28_23.csv',\n",
        "                   '2025_06_26_18_21_41.csv','2025_06_25_19_21_03.csv',\n",
        "                   '2025_06_25_19_28_31.csv', 'up1.csv',\n",
        "                  'right.csv', 'left.csv', 'down.csv','2025_05_10_16_18_05.csv',\n",
        "                    '2025_05_10_17_04_54.csv' ]\n",
        "\n",
        "for file_to_download in files_to_download:\n",
        "  !osf -p na4fw fetch osfstorage/Files_for_COLAB/{file_to_download}"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "id": "sa65o8xtkZhj"
      },
      "outputs": [],
      "source": [
        "#Пример обработки видеозаписей с датчика вертикальных перемещений\n",
        "%%capture\n",
        "!git clone https://github.com/DoubleCitizen/SSUGT_inclinometer.git\n",
        "!pip install -r SSUGT_inclinometer/requirements.txt"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "GWsWwC-ZlBuu"
      },
      "outputs": [],
      "source": [
        "#Обработка видеопотока с инклинометрического модуля\n",
        "!python3 SSUGT_inclinometer/vim_cmd.py --file_path SSUGT_inclinometer/3.mp4 --count_draw_points 2 --start_point_px 100"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "QtnkjR1glO5p"
      },
      "outputs": [],
      "source": [
        "#Обработка видеопотока с реперного модуля\n",
        "!python3 SSUGT_inclinometer/laser_cmd.py --file_path SSUGT_inclinometer/laser.mp4 --start_point_px 100"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Структура выходного файла при обработке видеопотока инклинометрического модуля\n",
        "df = pd.read_csv('/content/data/2025_07_10 04_36_50.csv', delimiter=';', header=None, skiprows=1)\n",
        "df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "IDjgZU9J2hd9",
        "outputId": "7dddce92-0f6b-4111-c359-861547814773"
      },
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
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              "                    0                  1  \\\n",
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              "3445  [[355, 305], [355, 303], [356, 306], [358, 300...  \n",
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              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 3446,\n  \"fields\": [\n    {\n      \"column\": 0,\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3446,\n        \"samples\": [\n          \"04:36:54.819722\",\n          \"04:36:51.186462\",\n          \"04:36:58.530933\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": 1,\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 351,\n        \"samples\": [\n          \"562.0\",\n          \"400.5\",\n          \"345.5\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": 2,\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1633,\n        \"samples\": [\n          \"[[604, 304], [606, 314], [606, 313], [606, 306], [606, 302], [607, 302], [607, 315], [607, 313], [609, 311], [609, 306], [609, 300], [610, 305], [610, 300], [611, 311], [612, 298], [612, 310], [613, 298], [613, 310], [613, 305], [614, 297], [614, 309], [614, 304], [615, 297], [615, 315], [616, 296], [616, 304], [616, 314], [616, 309], [617, 303], [617, 296], [617, 308], [618, 295], [619, 295], [619, 308], [620, 307], [620, 294], [623, 314], [623, 307], [623, 303], [624, 306], [624, 302], [624, 313], [627, 306], [627, 302], [628, 305], [628, 301], [632, 305], [632, 294], [633, 304], [633, 293], [633, 301], [634, 300], [635, 313], [636, 312], [637, 293], [638, 292], [642, 292], [643, 300], [643, 291], [643, 312], [643, 304], [644, 303], [644, 301], [644, 311], [646, 300], [646, 302], [647, 299], [647, 303], [647, 311], [648, 291], [648, 312], [649, 290], [651, 312], [652, 311], [664, 299], [664, 290], [665, 298], [665, 291], [667, 303], [668, 302], [691, 291], [692, 290], [700, 302], [701, 303], [704, 298], [705, 299], [716, 290], [717, 291], [721, 291], [722, 292], [723, 311], [724, 312], [725, 303], [726, 304], [728, 292], [729, 293], [729, 299], [730, 300], [731, 304], [732, 305], [734, 300], [735, 301], [737, 305], [738, 293], [738, 306], [739, 294], [739, 301], [740, 302], [741, 306], [742, 307], [743, 294], [743, 307], [744, 302], [744, 295], [744, 308], [745, 303], [747, 295], [747, 308], [748, 296], [748, 309], [749, 303], [749, 296], [749, 312], [749, 309], [750, 297], [750, 311], [750, 310], [750, 304], [751, 297], [751, 304], [752, 305], [752, 298], [753, 298], [753, 305], [754, 306], [755, 306], [755, 300], [756, 307], [756, 300], [757, 307], [758, 308], [758, 302], [759, 302], [760, 303], [761, 303], [762, 308], [763, 307], [763, 305]]\",\n          \"[[356, 305], [356, 303], [357, 306], [359, 300], [360, 306], [360, 300], [361, 299], [361, 305], [362, 299], [363, 305], [363, 298], [364, 304], [364, 298], [365, 297], [366, 297], [367, 296], [368, 304], [369, 296], [369, 303], [370, 295], [371, 295], [372, 294], [379, 303], [380, 302], [382, 302], [383, 301], [396, 301], [397, 300], [398, 294], [399, 293], [403, 293], [404, 292], [407, 292], [408, 291], [430, 291], [431, 292], [435, 292], [436, 293], [459, 300], [460, 301], [461, 293], [462, 292], [470, 292], [470, 301], [471, 302], [471, 293], [475, 293], [476, 294], [479, 294], [480, 302], [480, 295], [481, 303], [481, 295], [482, 296], [487, 303], [488, 304], [490, 304], [491, 305], [492, 296], [493, 297], [494, 305], [494, 297], [495, 298], [495, 306], [496, 298], [497, 299], [498, 299], [499, 300], [500, 300], [500, 306], [501, 307], [503, 307], [504, 304], [504, 306]]\",\n          \"[[611, 304], [613, 306], [613, 302], [613, 301], [614, 301], [615, 306], [616, 299], [616, 305], [617, 299], [618, 298], [619, 298], [620, 297], [620, 305], [621, 304], [621, 297], [622, 296], [624, 296], [624, 304], [625, 295], [625, 303], [627, 295], [628, 294], [629, 303], [630, 302], [632, 302], [633, 301], [636, 294], [637, 293], [638, 301], [639, 300], [640, 293], [641, 292], [646, 292], [647, 291], [651, 291], [652, 290], [653, 300], [654, 299], [659, 290], [660, 291], [667, 299], [668, 298], [691, 291], [692, 290], [711, 298], [712, 299], [720, 290], [721, 291], [725, 291], [726, 292], [736, 299], [737, 300], [739, 300], [740, 301], [740, 292], [741, 293], [746, 301], [747, 302], [747, 293], [748, 294], [750, 302], [751, 303], [751, 294], [752, 295], [754, 295], [755, 296], [755, 303], [756, 304], [756, 296], [757, 304], [757, 297], [758, 305], [758, 297], [759, 298], [759, 305], [760, 298], [760, 306], [761, 299], [761, 306], [762, 299], [762, 307], [763, 307], [764, 301], [764, 308], [765, 301], [768, 304], [768, 308]]\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RYX8GxGmTonf"
      },
      "source": [
        "# Основные функции"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 34,
      "metadata": {
        "id": "O9Qnk4_9TQ8x"
      },
      "outputs": [],
      "source": [
        "def dumodelled(S0, gamma0, S_i, gamma_i, y_i):\n",
        "    \"\"\"Вычисление вертикальных смещений.\"\"\"\n",
        "    du = (S0 + S_i) * sin(gamma0 + gamma_i) - y_i - S0 * sin(gamma0)\n",
        "    return du\n",
        "\n",
        "\n",
        "def solver(S0, gamma0, S_i, gamma_i, y_i, sigma_S_i, sigma_gamma_i, sigma_y_i):\n",
        "    \"\"\"\n",
        "    Функция определения вертикальных смещений в датчике вертикальных перемещений.\n",
        "\n",
        "    Параметры:\n",
        "        S0, gamma0: начальные параметры\n",
        "        S_i, gamma_i, y_i: измеренные значения\n",
        "        sigma_S_i, sigma_gamma_i, sigma_y_i: ошибки измерений\n",
        "\n",
        "    Возвращает:\n",
        "        Кортеж (du_app - X[0], np.sqrt(Q[0,0])) - оценка смещения и его ошибка\n",
        "    \"\"\"\n",
        "    # Составление системы линейных уравнений\n",
        "    A1 = np.array([-1, -S0 * cos(gamma0), sin(gamma0)])\n",
        "    A2 = np.array([1 / sin(gamma0), S0 * cos(gamma0) / sin(gamma0), 0])\n",
        "    A3 = np.array([-1 / cos(gamma0) / S0, 0, tan(gamma0) / S0])\n",
        "    A = np.vstack((A1, A2, A3))\n",
        "\n",
        "    k = np.array([sigma_y_i, sigma_S_i, sigma_gamma_i])\n",
        "    K = np.diag(k)\n",
        "\n",
        "    du_app = dumodelled(S0, gamma0, S_i, gamma_i, y_i)\n",
        "    y_i_app = (-du_app + S0 * cos(gamma0) * gamma_i + S_i * sin(gamma0))\n",
        "    S_i_app = (du_app - S0 * cos(gamma0) * gamma_i + y_i) / sin(gamma0)\n",
        "    gamma_i_app = ((-du_app + S_i * sin(gamma0) - y_i) / S0 / cos(gamma0)) * -1\n",
        "\n",
        "    L = np.array([y_i - y_i_app, S_i - S_i_app, gamma_i - gamma_i_app])\n",
        "\n",
        "    # Решение системы\n",
        "    X = pinv(A.T @ pinv(K) @ A) @ A.T @ inv(K) @ L\n",
        "    v = A @ X + L\n",
        "    mu = (v.T @ inv(K) @ v / 3)\n",
        "    Q = mu * inv(A.T @ inv(K) @ A)\n",
        "\n",
        "    return du_app - X[0], np.sqrt(Q[0, 0])\n",
        "\n",
        "\n",
        "def solver_run(S0, gamma0, S_i, gamma_i, y_i, sigma_S_i, sigma_gamma_i, sigma_y_i):\n",
        "    \"\"\"\n",
        "    Вспомогательная функция для вызова программы solver.\n",
        "\n",
        "    Возвращает:\n",
        "        Массив numpy с результатами расчетов для всех входных данных\n",
        "    \"\"\"\n",
        "    out = np.zeros((S_i.size, 2))\n",
        "    for i in range(S_i.size):\n",
        "        ud_ls_std = solver(S0, gamma0, S_i[i], gamma_i[i], y_i[i],\n",
        "                          sigma_S_i, sigma_gamma_i, sigma_y_i)\n",
        "        out[i, 0] = ud_ls_std[0]\n",
        "        out[i, 1] = ud_ls_std[1]\n",
        "    return out\n",
        "\n",
        "\n",
        "def spot_center_mass_estimator(x_string, y_string):\n",
        "    \"\"\"Расчёт позиции центра масс лазерного пучка по координатам контура.\"\"\"\n",
        "    y_LP = np.array(list(map(int, y_string.split(','))))\n",
        "    y_LP = np.array(list(map(int, x_string.split(','))))\n",
        "    center_mass_x = sum(y_LP) / len(y_LP)\n",
        "    center_mass_y = sum(y_LP) / len(y_LP)\n",
        "    return center_mass_x, center_mass_y\n",
        "\n",
        "\n",
        "def plot_ts(array):\n",
        "    \"\"\"Вспомогательная функция для вывода графиков временных рядов.\"\"\"\n",
        "    df_plot = pd.DataFrame(array)\n",
        "    df_plot.plot()\n",
        "\n",
        "\n",
        "def VDS_run(Data, roll_shift, Laser_vec, Spot_vec, indicator_flag):\n",
        "    \"\"\"\n",
        "    Основная функция для выполнения оценки точности работы датчика вертикальных перемещений.\n",
        "\n",
        "    Параметры:\n",
        "        Data: входные данные\n",
        "        roll_shift: параметр сдвига\n",
        "        Laser_vec, Spot_vec: векторы положения лазера и пятна\n",
        "        indicator_flag: флаг индикатора\n",
        "\n",
        "    Возвращает:\n",
        "        Кортеж с результатами расчетов\n",
        "    \"\"\"\n",
        "    R_L_1 = Laser_vec - Spot_vec  # вектор между выходным зрачком лазера и пучком\n",
        "    S0_1 = np.linalg.norm(R_L_1)  # начальное расстояние между экраном и лазером\n",
        "    gamma0_1 = np.arctan2(R_L_1[2], (R_L_1[0]**2 + R_L_1[1]**2)) + np.pi  # угол\n",
        "\n",
        "    # Оценка временных рядов координат центров масс\n",
        "    area, c_x, c_y = area_center_mass_estimator(\n",
        "        Data[9][0], Data[10][0], ref_cam_calibration_x,\n",
        "        ref_cam_calibration_y, ref_cam_scale, start_point_x, start_point_y\n",
        "    )\n",
        "\n",
        "    for i in range(Data.shape[0] - 1):\n",
        "        area_i, c_x_i, c_y_i = area_center_mass_estimator(\n",
        "            Data[9][i], Data[10][i], ref_cam_calibration_x,\n",
        "            ref_cam_calibration_y, ref_cam_scale, start_point_x, start_point_y\n",
        "        )\n",
        "        area = np.hstack([area, area_i])\n",
        "        c_x = np.hstack([c_x, c_x_i])\n",
        "        c_y = np.hstack([c_y, c_y_i])\n",
        "\n",
        "    # Оценка превышений при помощи ДВП\n",
        "    gamma_i = ((Data[1] - Data[1][0]) * 0.9 - ref_cam_calibration_inc(np.array(Data[1][:] - Data[1][0],\n",
        "                                                                               dtype=float))) / 206265\n",
        "    gamma_i = np.roll(gamma_i, 0)\n",
        "    S_i = (area - area[0]) / (area[0] - area[-1]) / 2.5 / 100000\n",
        "    y_i_1 = Data[7] * ref_cam_scale - ref_cam_calibration_x(Data[7])\n",
        "    y_i_1 = np.roll(y_i_1, roll_shift) - start_point_x\n",
        "\n",
        "    out = solver_run(S0_1, gamma0_1, S_i, gamma_i, -y_i_1,\n",
        "                    sigma_S_i=0.1, sigma_gamma_i=1, sigma_y_i=1)\n",
        "\n",
        "    if indicator_flag == 1:\n",
        "        eth_shift = -np.array(Data['WI2'], dtype=float) / 1000\n",
        "    elif indicator_flag == 2:\n",
        "        eth_shift = -np.array(Data['WI1'], dtype=float) / 1000\n",
        "    elif indicator_flag == 3:\n",
        "        eth_shift = np.array(Data['WI1'], dtype=float) / 1000\n",
        "    elif indicator_flag == 4:\n",
        "        eth_shift = np.array(Data['WI2'], dtype=float) / 1000\n",
        "\n",
        "    diff1 = (eth_shift) - np.roll(out[0:, 0], 0)\n",
        "    print('STD =', diff1.std())\n",
        "    print('Mean_err =', diff1.mean())\n",
        "    norm_test = shapiro(diff1)\n",
        "    print('s-w_test', norm_test)\n",
        "\n",
        "    plt.figure(figsize=(10, 6))\n",
        "    plt.plot(np.roll(out[0:, 0], 0), marker='o', linestyle='-', color='g')\n",
        "    plt.plot(eth_shift, marker='o', linestyle='-', color='b')\n",
        "    plt.xlabel('Моменты наблюдений')\n",
        "    plt.ylabel('Вертикальное смещение, м')\n",
        "    plt.grid(True)\n",
        "    plt.tight_layout()\n",
        "    plt.show()\n",
        "\n",
        "    return y_i_1, out[0:, 0], gamma_i, diff1\n",
        "\n",
        "\n",
        "def process_experimental_data(file_paths, window_size=3):\n",
        "    \"\"\"\n",
        "    Обрабатывает экспериментальные данные из нескольких CSV-файлов.\n",
        "\n",
        "    Параметры:\n",
        "        file_paths: список путей к CSV-файлам с данными\n",
        "        window_size: размер окна для медианного фильтра\n",
        "\n",
        "    Возвращает:\n",
        "        Обработанный DataFrame с объединенными данными\n",
        "    \"\"\"\n",
        "    dfs = []\n",
        "\n",
        "    for file_path in file_paths:\n",
        "        df = pd.read_csv(file_path, delimiter=';', header=None, skiprows=1)\n",
        "        df = df.iloc[1:]  # Пропускаем первую строку данных\n",
        "        df = df[df[6] != 'False']  # Фильтрация строк\n",
        "        dfs.append(df)\n",
        "\n",
        "    combined_df = pd.concat(dfs, ignore_index=True)\n",
        "    combined_df[['WI2', 'WI1']] = combined_df[6].str.split(',', expand=True)\n",
        "    combined_df[7] = combined_df[7].rolling(window=window_size, min_periods=1).median()\n",
        "    combined_df[1] = combined_df[1].rolling(window=window_size, min_periods=1).median()\n",
        "    combined_df.reset_index(drop=True, inplace=True)\n",
        "\n",
        "    return combined_df\n",
        "\n",
        "\n",
        "def area_center_mass_estimator(x_string, y_string, ref_cam_calibration_x,\n",
        "                             ref_cam_calibration_y, ref_cam_scale,\n",
        "                             start_point_x, start_point_y):\n",
        "    \"\"\"\n",
        "    Расчёт площади лазерного пучка и координаты центра масс.\n",
        "\n",
        "    Параметры:\n",
        "        x_string, y_string: строки с координатами\n",
        "        ref_cam_calibration_x, _y: функции калибровки\n",
        "        ref_cam_scale: масштаб\n",
        "        start_point_x, _y: начальные точки\n",
        "\n",
        "    Возвращает:\n",
        "        Кортеж (площадь, center_mass_x, center_mass_y)\n",
        "    \"\"\"\n",
        "    y_LP = np.array(list(map(int, y_string.split(','))))\n",
        "    x_LP = np.array(list(map(int, x_string.split(','))))\n",
        "    shift_y = np.zeros(len(y_LP))\n",
        "    shift_x = np.zeros(len(y_LP))\n",
        "\n",
        "    for i in range(len(y_LP)):\n",
        "        shift_y[i] = ref_cam_calibration_y(y_LP[i])\n",
        "        shift_x[i] = ref_cam_calibration_x(x_LP[i])\n",
        "\n",
        "    y = y_LP * ref_cam_scale - shift_y - start_point_y - ref_cam_calibration_y(y_LP[i])\n",
        "    x = x_LP * ref_cam_scale - shift_x - start_point_x - ref_cam_calibration_x(x_LP[i])\n",
        "    center_mass_x = sum(x) / len(x)\n",
        "    center_mass_y = sum(y) / len(y)\n",
        "\n",
        "    # Формула Гаусса для площади\n",
        "    area = 0.5 * np.abs(np.dot(x, np.roll(y, 1)) - np.dot(y, np.roll(x, 1)))\n",
        "    return area, center_mass_x, center_mass_y"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nGlDVA4nTz1l"
      },
      "source": [
        "# Калибровка датчика вертикальных перемещений"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 35,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 465
        },
        "id": "iRI2ks1GQrxH",
        "outputId": "f5dd3bed-a8e4-493b-f2ea-7eec1e047287"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "СКО калибровки камеры по направлению вверх-вниз, мм 0.26322786731091974\n",
            "Средняя ошибка калибровки камеры по направлению вверх-вниз, мм 6.627408997411981e-14\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Импорт данных калибровочного сеанса\n",
        "# Файл записи калибровочного сеанса по оси верх-низ\n",
        "DF_calibr1 = pd.read_csv('/content/down.csv', delimiter=';', header=None, skiprows=1)\n",
        "DF_calibr1 = DF_calibr1[0:][1:]\n",
        "DF_calibr2 = pd.read_csv('/content/up1.csv', delimiter=';', header=None, skiprows=1)\n",
        "DF_calibr2 = DF_calibr2[0:][11:]\n",
        "\n",
        "DFcal_1 = pd.concat([DF_calibr1, DF_calibr2], ignore_index=True)\n",
        "DFcal_1 = DFcal_1[DFcal_1[6] != 'False']\n",
        "DFcal_1[7] = DFcal_1[7].rolling(window=6, min_periods=1).median()\n",
        "DFcal_1.reset_index(drop=True, inplace=True)\n",
        "\n",
        "# Файл калибровки по оси лево-право\n",
        "DF_calibr3 = pd.read_csv('/content/left.csv', delimiter=';', header=None, skiprows=1)\n",
        "DF_calibr3 = DF_calibr3[0:][1:]\n",
        "DF_calibr4 = pd.read_csv('/content/right.csv', delimiter=';', header=None, skiprows=1)\n",
        "DF_calibr4 = DF_calibr4[0:][11:]\n",
        "\n",
        "DFcal_2 = pd.concat([DF_calibr3, DF_calibr4], ignore_index=True)\n",
        "DFcal_2 = DFcal_2[DFcal_2[6] != 'False']\n",
        "DFcal_2[7] = DFcal_2[7].rolling(window=6, min_periods=1).median()\n",
        "DFcal_2.reset_index(drop=True, inplace=True)\n",
        "\n",
        "# Установка масштаба камеры реперного модуля\n",
        "ref_cam_scale = 0.042 / 550\n",
        "\n",
        "# Калибровка камеры реперного модуля по направлению вверх-вниз\n",
        "roll = -1\n",
        "eth = np.array(DFcal_1[6], dtype=float)\n",
        "eth = np.array(eth - eth[0]) / 1000\n",
        "\n",
        "center_mass_x, center_mass_y = spot_center_mass_estimator(DFcal_1[9][0], DFcal_1[10][0])\n",
        "for i in range(DFcal_1.shape[0] - 1):\n",
        "    center_mass_x_i, center_mass_y_i = spot_center_mass_estimator(\n",
        "        DFcal_1[9][i], DFcal_1[10][i]\n",
        "    )\n",
        "    center_mass_x = np.hstack([center_mass_x, center_mass_x_i])\n",
        "\n",
        "ref = center_mass_x * ref_cam_scale - np.roll(eth, roll)\n",
        "ref = ref[2:]\n",
        "start_point_x = ref.mean()\n",
        "ref = ref - start_point_x\n",
        "\n",
        "ref2 = np.roll(center_mass_x[2:], roll)\n",
        "ref_cam_calibration_coeff_x = polyfit(ref2, ref, 4)\n",
        "ref_cam_calibration_x = np.poly1d(ref_cam_calibration_coeff_x)\n",
        "x = ref2 * ref_cam_scale - ref_cam_calibration_x(ref2) - start_point_x - eth[2:]\n",
        "print('СКО калибровки камеры по направлению вверх-вниз, мм', x[:670].std() * 1000)\n",
        "print('Средняя ошибка калибровки камеры по направлению вверх-вниз, мм', x.mean() * 1000)\n",
        "plot_ts(x)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 36,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "717g4MydQ3nj",
        "outputId": "142248fd-d083-4025-b071-46925d72ab6d"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Ошибка калибровки камеры по направлению вверх-вниз, мм 0.15505444954145256\n",
            "Средняя ошибка калибровки камеры по направлению вверх-вниз, мм -3.4458521678537144e-12\n"
          ]
        }
      ],
      "source": [
        "# Калибровка камеры реперного модуля по направлению лево-право\n",
        "eth = np.array(DFcal_2[6], dtype=float)\n",
        "DFcal_2 = np.array(DFcal_2[8], dtype=float)\n",
        "eth = np.array(eth - eth[0]) / 1000\n",
        "ref = DFcal_2 * ref_cam_scale - np.roll(eth, -1)\n",
        "ref = ref[2:]\n",
        "start_point_y = ref.mean()\n",
        "ref = ref - start_point_y\n",
        "ref2 = DFcal_2[2:]\n",
        "ref_cam_calibration_coeff_y = polyfit(ref2, ref, 6)\n",
        "ref_cam_calibration_y = np.poly1d(ref_cam_calibration_coeff_y)\n",
        "y = ref2 * ref_cam_scale - ref_cam_calibration_y(DFcal_2[2:]) - start_point_y - eth[2:]\n",
        "print('Ошибка калибровки камеры по направлению вверх-вниз, мм', y.std() * 1000)\n",
        "print('Средняя ошибка калибровки камеры по направлению вверх-вниз, мм', y.mean() * 1000)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 38,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 659
        },
        "id": "bQhmjWiPQ-4n",
        "outputId": "ce65cdce-562b-4c8a-d7a3-c46e404b4442"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "среднее = -9.060855480243097\n",
            "СКО = 38.52952838372067\n",
            "IQR, межквартильный размах = 4.276560102644311\n"
          ]
        }
      ],
      "source": [
        "# Импорт данных калибровочного сеанса для инклинометрического модуля\n",
        "window = 6\n",
        "roll = -3\n",
        "DFi1 = pd.read_csv('/content/2025_05_10_16_18_05.csv', delimiter=';', header=None, skiprows=1)\n",
        "DFi1 = DFi1[0:][1:]\n",
        "DFi1 = DFi1[DFi1[6] != 'False']\n",
        "DFi1[1] = DFi1[1].rolling(window=window, min_periods=1).median()\n",
        "DFi1.reset_index(drop=True, inplace=True)\n",
        "\n",
        "DFi2 = pd.read_csv('/content/2025_05_10_17_04_54.csv', delimiter=';', header=None, skiprows=1)\n",
        "DFi2 = DFi2[0:][1:]\n",
        "DFi2 = DFi2[DFi2[6] != 'False']\n",
        "DFi2[1] = DFi2[1].rolling(window=window, min_periods=1).median()\n",
        "DFi2.reset_index(drop=True, inplace=True)\n",
        "\n",
        "DFi = pd.concat([DFi1, DFi2])\n",
        "DFi.reset_index(drop=True, inplace=True)\n",
        "DF_1i = DFi[0:150]\n",
        "DF_2i = DFi[450:700]\n",
        "DF_i = pd.concat([DF_1i, DF_2i])\n",
        "DF_i.reset_index(drop=True, inplace=True)\n",
        "\n",
        "VIM = np.array(DF_i[1], dtype=float)\n",
        "eth = np.array(DF_i[3], dtype=float)\n",
        "eth = np.array(eth - eth[0]) * 206.265\n",
        "ref = np.array(DF_i[1], dtype=float) * 0.9 - np.roll(eth, roll)\n",
        "ref2 = np.array(DF_i[1][:], dtype=float)\n",
        "ref_cam_calibration_coeff_inc = polyfit(ref2, ref, 6)\n",
        "ref_cam_calibration_inc = np.poly1d(ref_cam_calibration_coeff_inc)\n",
        "incl = np.array(DF_i[1][:], dtype=float) * 0.9 + ref_cam_calibration_inc(np.array(DF_i[1][:], dtype=float))\n",
        "\n",
        "plt.figure(figsize=(10, 6))\n",
        "plt.plot(eth, marker='o', linestyle='-', color='b')\n",
        "plt.plot(np.roll(incl, -3), marker='o', linestyle='-', color='r')\n",
        "plt.title('График значений массива')\n",
        "plt.xlabel('Моменты наблюдений')\n",
        "plt.ylabel('Угловые секунды')\n",
        "plt.grid(True)\n",
        "plt.tight_layout()\n",
        "plt.show()\n",
        "\n",
        "diff_inclinometer = eth[:] - np.roll(incl, roll)\n",
        "print('среднее =', diff_inclinometer[:370].mean())\n",
        "print('СКО =', diff_inclinometer[:370].std())\n",
        "print('IQR, межквартильный размах =', iqr(diff_inclinometer[:370]))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4Nu6BkTzTmUg"
      },
      "source": [
        "# Априорная оценка точности ДВП"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 39,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "eNXYk-JvQZhe",
        "outputId": "2d5ce2f2-1571-4706-c44a-e4129a43928b"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Расстояние, м =  15\n",
            "Априорная ошибка определения вертикального смещения, мм 0.8711038110352848\n",
            "Оценка ошибки определения высоты прибором Trimble Laser-tilt meter на 50 м, мм 2.320101258977081\n"
          ]
        }
      ],
      "source": [
        "# Скрипт для априорной оценки точности датчика вертикальных перемещений\n",
        "S0 = 15  # начальное расстояние между реперным и измерительным модулями, м\n",
        "gamma0 = iqr(diff_inclinometer[:370]) * pi / 180  # начальный угол наклона лазерного луча, градусы\n",
        "\n",
        "S_err = 10  # ошибка измерения расстояния, миллиметр\n",
        "gamma_err = 5  # ошибка отслеживания угла наклона относительно горизонта, секунда\n",
        "y_err = x[:670].std() * 1000  # ошибка отслеживания движения лазерного луча по экрану, миллиметр\n",
        "\n",
        "# Задание массивов для отслеживаемого угла наклона, расстояния и движения луча\n",
        "gamma_i = np.array([10, 15, 20, 30, 40, 45, 50, 60, 70, 80,\n",
        "                   90, 100, 120, 130, 140, 150, 160, 170, 180]) / 206265\n",
        "y_i_f = np.array([1, 5, 10, 15, 20, 25, 30, 35, 40, 45,\n",
        "                 50, 55, 60, 100, 200, 500, 600, 700, 800]) / 10000\n",
        "\n",
        "y_rand = np.zeros(100)\n",
        "for i in range(100):\n",
        "    y_i = S0 * tan(gamma0 + gamma_i) - S0 * tan(gamma0)\n",
        "    y_i = y_i + y_i_f\n",
        "    S_i = S0 / cos(gamma0 + gamma_i) - S0 / cos(gamma0)\n",
        "    S_i_err = S_i + normal(0, S_err / 1000, 19)\n",
        "    gamma_i_err = gamma_i + normal(0, gamma_err / 206265, 19)\n",
        "    y_i_err = y_i + normal(0, y_err / 1000, 19)\n",
        "    du_ls = solver_run(S0 / cos(gamma0), gamma0, S_i_err, gamma_i_err,\n",
        "                      y_i_err, 1, 1, 1)\n",
        "    du_eth = dumodelled(S0 / cos(gamma0), gamma0, S_i, gamma_i, y_i)\n",
        "    std = np.std(du_eth - du_ls[0:, 0]) * 1000\n",
        "    mean = np.mean(du_eth - du_ls[0:, 0]) * 1000\n",
        "    y_rand[i] = np.sqrt(std**2 + mean**2)\n",
        "\n",
        "print('Расстояние, м = ', S0)\n",
        "print('Априорная ошибка определения вертикального смещения, мм', y_rand.mean())\n",
        "\n",
        "\n",
        "# Априорная оценка точности определения вертикальных смещений для сравнения с Trimble Laser-tilt meter\n",
        "sigma_s = 4  # ошибка определения расстояния на 50 м из паспорта прибора\n",
        "S0 = 50\n",
        "sigma_alph = 9 / 206265  # ошибка определения угла наклона в диапазоне +-2 градуса\n",
        "gamma0 = 2 / 180 * pi\n",
        "y = ((S0 + sigma_s / 1000) * sin(gamma0 + sigma_alph) - S0 * sin(gamma0)) * 1000\n",
        "print('Оценка ошибки определения высоты прибором Trimble Laser-tilt meter на 50 м, мм', y)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XgMFYTVpT7oN"
      },
      "source": [
        "# Обработка записей экспериментального исследования"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 40,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "edbk50y4RERu",
        "outputId": "c7b0d266-0dd8-4993-849a-5fe7d3cc0493"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "STD = 0.0006147147387746367\n",
            "Mean_err = -0.0007842589049053123\n",
            "s-w_test ShapiroResult(statistic=np.float64(0.965218405025223), pvalue=np.float64(7.954158686466598e-07))\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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USYQQEoe06Fonqa0EAI3bJMqgSCKEkDhE9CTp0paEJQBIlEKRRAghcYg33cZikoQoQZFECCFxiNSWRI9ikiaWACDRCUUSIYTEIS5d25K0/qZxm0QbFEmEEBKHOF16epJYAoBEJxRJhBASh4iCRZ/Zba2/PZzdRqIMiiRCCIlD9G1w2xZJclMkkeiCIokQQuIQXWe3tRm3GUki0QZFEiGExCFinSSbjr3bWAKARBsUSYQQEofo25aEIolEJxRJhBASh4htSfQsAcC2JCTaoEgihJA4RDRR61JMksZtEqVYjR4AIXrzaWklVm4vQziRf7MJuGNcXxQOzen6gRGiI6InicZtQpShSCJxwbn6Zmw8VIkx/Xrgl2/uQl2TK+xtfXmsCsULJyApwdKFIyREX/QtJsm2JCQ6oUgiccHSDYfxevFx6f/DctPwk/H9O7ydP208glPV5/HerlOYfnm/rhwiIbqibzHJtkgSRRKJMiiSSFxwpr5Z+rfFbMIzPxqFoblpHd5OQ7MLv/3wIF77/CimXdYXJpP2NxhCtMBlwOw2RpJItEHjNokLzG1iJr1bApb9eExYAgkA7risL1JsFhyurMdnh8925RAJ0ZWWNk9SgpmRJEKUoEgicYHoF11w3cWYNLx32NtJS0rAHZf1BQD89fOjXTE0QnTH7RGkc0KPSJJVrJNE4zaJMiiSSFwgFrHriofmu68YAJMJ2PyfMzhSWdf5DRKiM2KNJEAfT5KZ6TYSpVAkkbhAnHps7gKV1L9nCq4b0loC4OVPv+n09gjRG3+RpIMnycR0G4lOKJJIXCCJpC4yWv/8+xcCAN796hSKvznXJdskRC98izpadfQkMZJEog2KJBIXiOk2SxeJpEv79cCM/NYSAHP+vhM3vPgZSo5Xdcm2CdEaX2+QRUeRBDCaRKILXUTSsmXLMGDAACQlJSE/Px87duxQXX/VqlXIy8tDUlISRowYgTVr1vi9LggCFi9ejN69e6Nbt24oLCzE4cOH/dapqqrCjBkzkJaWhoyMDMyePRv19fV+6+zZswdXXXUVkpKS0LdvXzz99NNd84FJxCFel7si3Sby8PV5yE1PQn2zCwfKa/Hv3ae7bNuEaIkYWTWZoEsZC1+RxGgSiSY0F0lvv/02FixYgMceewxfffUVRo0ahaKiIlRWVsquv23bNkyfPh2zZ8/Grl27cMstt+CWW27Bvn37pHWefvppLF26FMuXL8f27duRkpKCoqIiNDU1SevMmDED+/fvx/r167F69Wps2bIFc+fOlV6vra3FxIkT0b9/f5SUlOCZZ57B448/jj//+c/aHQxiGN50W9dtMy0pAWvuuwpXDe4FgBd/Ej20zf7vsvRzMPwiSZzhRqIIzUXSH//4R8yZMwezZs3C0KFDsXz5ciQnJ+O1116TXf/FF1/EpEmT8NBDD2HIkCF46qmncOmll+JPf/oTgNYo0gsvvIBFixbh5ptvxsiRI/H3v/8dp0+fxvvvvw8AOHjwINauXYtXX30V+fn5uPLKK/HSSy/hrbfewunTrU/7b7zxBpxOJ1577TUMGzYM06ZNw3/913/hj3/8o9aHhBiAeGHu6tRCRrIN+QMzAXhTeoREOtL5oJNIsjKSRKIUTUWS0+lESUkJCgsLvTs0m1FYWIji4mLZ9xQXF/utDwBFRUXS+kePHoXD4fBbJz09Hfn5+dI6xcXFyMjIwLhx46R1CgsLYTabsX37dmmdq6++GjabzW8/paWl+O6772TH1tzcjNraWr8fEh2IAkaL1IKYwqNIItGCb7pND3wjVjxPSDShqUg6e/Ys3G43cnL8O6bn5OTA4XDIvsfhcKiuL/4Otk52drbf61arFZmZmX7ryG3Ddx+BLFmyBOnp6dJP37595T84iTjE67IWT84slEeiDfGraki6jSKJRBGc3dYBFi5ciJqaGunnxIkTRg+JhIh4YdaiJIx4o+ETMokWtPDoqeG7H6bbSDShqUjq1asXLBYLKioq/JZXVFTAbrfLvsdut6uuL/4Otk6gMdzlcqGqqspvHblt+O4jkMTERKSlpfn9kOjALWiXbrMw3UaiDI/OkSSTyeTt38aIK4kiNBVJNpsNY8eOxYYNG6RlHo8HGzZsQEFBgex7CgoK/NYHgPXr10vrDxw4EHa73W+d2tpabN++XVqnoKAA1dXVKCkpkdbZuHEjPB4P8vPzpXW2bNmClpYWv/1ccskl6NGjRyc/OYk0dEm3USSRKEFvTxLAgpIkOtE83bZgwQL85S9/weuvv46DBw/i3nvvRUNDA2bNmgUAuOuuu7Bw4UJp/fvuuw9r167Fc889h0OHDuHxxx/Hzp07MX/+fACtTyT3338/fvvb3+Lf//439u7di7vuugu5ubm45ZZbAABDhgzBpEmTMGfOHOzYsQNbt27F/PnzMW3aNOTm5gIAfvzjH8Nms2H27NnYv38/3n77bbz44otYsGCB1oeEGICYbjNrkW6jSCJRhtCFbXpCha1JSDRi1XoHU6dOxZkzZ7B48WI4HA6MHj0aa9eulUzSZWVlMPvcua644gqsXLkSixYtwm9+8xsMHjwY77//PoYPHy6t8+tf/xoNDQ2YO3cuqqurceWVV2Lt2rVISkqS1nnjjTcwf/58TJgwAWazGVOmTMHSpUul19PT0/Hxxx9j3rx5GDt2LHr16oXFixf71VIisUNXtyXxRbr4M41AogS9022AN+LKSBKJJjQXSQAwf/58KRIUyKefftpu2e23347bb79dcXsmkwlPPvkknnzyScV1MjMzsXLlStVxjRw5Ep999pnqOiQ2EKM8mogkXvxJlKG3cRtgxJVEJ5zdRuICrYpJ+m6TF38SLYgVt/VoSSJipXGbRCEUSSQu0DK9wFk7JNowMpLkcvM8IdEDRRKJCyTjtgY3BQsv/iTK0LuYJEDvHolOKJJIXKBpuo0XfxJlaDmRQQl690g0QpFE4gIWkyTEi5F1kpTOk9V7TuOVT79hiQASUegyu40QoxGNqjRuE2JsCQCl82Thu3tR1+RCapIVd47vr9u4CFGDkSQSF2hpVDWzwS2JMiKtBIDbI6CuyQUA+MOagzhVfV6/gRGiAkUSiQu0rJNkpXGbRBkeDc8HJdQiSY1Ol/TvBqcb//3eXqkqOCFGwnQbiQuk3m00bhPiTbfpGEoSBZlcxLXR6QbQ6pFKMJvxaekZ/PXzoxg3IFNxe1azCXn27rBaWp/1v2tw4nhVo/T64OxUpCS2v8U1NLvgEQR0T0ro1Och8QFFEokLNG1LQk8SiTIEA9JtUj0xmfOkobk1ktQ90YqfXXMhnllXit9+eDDoNmfk98Pvbh2BRqcL1z2/BWfrm6XX8uzd8dF9V/lN1vB4BBS9sAV1TS5sfeRapMqIKEJ8YbqNxAXeEgBdv22KJBJtGGHcVisB0NDcGklKSbRi7tWDcP1wOy7I6Kb40zu9tU/n+7tOoanFjY2HKnG2vhmJVjMuyOgGi9mEQ4467D1V47efXSeqcfK786g534JT39H3RIJDGU3iAlHAaFECgMZtEm14NCyJoYTaw0RDmycp2WZBgsWMV34yVnVbHo+AK/9nI07XNOHT0jNY/XU5AOCnVw7Ew5PyMG/lV/hwTzk+3FOOkX0ypPd9uKe8iz4NiRcYSSJxgahfLBoat8UyA4REOkbMblMTSaJxW85DJIfZbMLkkb0BAG9/WYZNpZUAgBvblt3U9nv1nnIptejxCFiz1yuSGPklocBIEokLxAuiFsZtMWXhokoiUYKRbUnkIq5iui3ZZgl5ezeOzMVfPjuKTaVnAACDeqVgaO80AMD3L8lGss2CU9XnMfKJj2FC62eua/bOouNECxIKjCSRuMCtYYVh7xNy12+bEC0wIpJktYjnSfsTRYwkdcRIPbJPOoblpkn/n355Pyl9mJRgwZRL+wAA6ppcqG1y+QkkgO1RSGgwkkTiAkHD3m3e+i9USSQ6EPWBnp4kqQSAzGlSL0WSQr8lmUwmvPeL7+HEd42SYduXJ28ehnuuGugnhqxmE37y1+04UXWe6TYSEhRJJC7QspikWiVhQiIRQyJJKg8Tjc2iJyn0dBsA2KxmXJiVKvuayWRC/54pMuMwt42D5ysJDtNtJC7Qcsqzt5hkl2+aEE0QNKwbpoRZJS3d4Ox4JClcWLKDdASKJBLz+Bav0+LJ2Vv/hek2Eh0YUidJteJ2WySpA8btTo+DIomEAEUSiXl8Z7Fo0paEJQBIlOHRcCKDEhbRuC0TSvItJqk1rGtGOgI9SSTm8b0YatGrysqLLokyjI0ktX9NbEuSrINICmeixdGzDfjyWBUSrWYUDsnRRcyRyIB/aRLz+F4LtTZuC4Kg64whQsJB8iTpmEtQEycNOqbb1LxRcrjcHkz7czEqalv7wt1z5UAsunGoVsMjEQbTbSTm8Uu3aWjcbt1Xl2+ekC5Hy9meSqiJk0YdjdvWEIzb4gMPAOw4ViUJJAAo/vactgMkEQVFEol5fNNgmhSTtHg3SvM2iQaMqJOkGkkKswRAOAQzblfWNWHcb9fjvrd2QxAErN3nAABcNbgXAOCQow7n20QdiX0okkjMI/hckzUxbvtGkqiRSBQgRlctOmaGIyWSZAniIdx3qgbfNbbg31+fxqqdJ7Fuf6tIuvuKAcjungi3R8DeUzWaj5NEBhRJJOZxa51u8xFeNG+TaMCIOkneCI5yJKkjbUnCHkcQ43aLj7P8N+/tRUVtM1ITrbhycC+M6ZcBANh94jvNx0kiA4okEvN4tE63+Yokuak7hEQYRqTb1CI4onG7Iw1uwyWYcdvp8r4gtjS5aVQuEq0WjO7bAwCwq6xa0zGSyIGz20jM45FMqtrcFHyjU4wkkWjAiLYkSo2g3R4BTS2tC/WYWh+sBEBzm0jKH5iJR28cCovZhItzugOATySpWvNxksiAIonEPG6NUwtmswkmEyAIrOJLogMj6iQpiROx2jagUyRJpdEu4I0kdU9KwPAL0v1eG3FBOqxmE8prmvDNmXrFvnEkdmC6jcQ80g1Bw8dmtjog0YQRdZKU0lyiadtiNiHRqv2AghV/dbpax5OY0H4sKYlWXHFR6yw3cdbbufpmfLzf4df+iMQOFEkk5vFNt2kFWx2QaEI8JyKhBEB9s7eQpB7jkdJ+CqEkZ9vyRIv87XHSMDsAYN1+B1rcHtz12g7M/UcJlm48rMFoidFQJJGYxzvdWbsLsHQDoHGbRAFGpNvMCg1uG3Xs2wb4GsjlXxfTbTaFqNbEYTkwmYA9J2uw6L192H+6FgDwp41H8PF+B46fa+j6QRPDoEgiMY9UXViPdBsjSSQKMMK4rVTpWs+ZbUDwEgDBRFKv1ERcNiATAPD2zhMAgIG9UuDyCJj7jxL84NlP8fnhs109bGIQFEkk5tHjqdkcQqsDQiIFwYhIksI5Ihq3dY8kKRi3xdltNoV0GwD88tqLMDg7Ff0yk3H3FQPwzs8KcPmATPRKTYRHAB7+vz2oanCiqcUt+0OiB85uIzGPlG7T8LE5lH5QhEQK4jmhZy9m8fxzBUaSmsVq2zpFklSKWgJekSRn3Ba5anAW1i+4xm/ZOz8vQEOzC5Ne3IITVedx6VPrFd8/eURvLJtxaUeHTgyAkSQS87j1NG5TJJEowMgSAIGzwKS+bTq0JAFCKCbpFiNJHRdtKYlWPPujUUhSEVgA8GlpZYe3TYyBkSQS83h0aMEgPp166EkiUYARniSvcdt/+dn6ZgBAz1SbLuMIVkwymCcpGPmDemLPY0VokVFhp6rPY+LzW+hdjCIokkjMI14LNRVJCqkEQiIRI3q3WS3y4qSitlUk5aQl6TKOYA1uOyuSxPfKvV/sTcdG2NED020k5tHDk2Rhuo1EEWKQQ886SWaFgqsVtU0AgOzuibqMI7hxu9Uj1RmRpIRVepiiSooWKJJIzOPWobqw5LdgGJ1EAZFUAqCirjWSlK13JClIuk2L6t9m6TrhjeaRyIYiicQ8eqQWxIufi8UkSRQg6BBdDURpcsOZtkiS7um2IMZtLUSS1ed4M+ocHVAkkZhHvBhqWXGbxm0STRg5u83Xt+fxCKisEz1JOqXbgpQAcIZQJylcfAva0rwdHVAkkZjHLfWp0m4fNG6TaMLIOkm+DxJVjU64PAJMptZK1noQrM9iVxi3lfB9UGMkKTrQVCRVVVVhxowZSEtLQ0ZGBmbPno36+nrV9zQ1NWHevHno2bMnUlNTMWXKFFRUVPitU1ZWhsmTJyM5ORnZ2dl46KGH4HK5/Nb59NNPcemllyIxMREXXXQRVqxY4ff6448/DpPJ5PeTl5fXJZ+bRBZ6pBYsCjVgCIlEjOzd5puSFk3bPVMSkaBB5EaOYIVfm7UUSUy3RR2afitnzJiB/fv3Y/369Vi9ejW2bNmCuXPnqr7ngQcewAcffIBVq1Zh8+bNOH36NG677TbpdbfbjcmTJ8PpdGLbtm14/fXXsWLFCixevFha5+jRo5g8eTJ+8IMfYPfu3bj//vtxzz33YN26dX77GjZsGMrLy6Wfzz//vGsPAIkI3Dp6knjhI9GAYKBx2zeSVFmrb6oNCD4T1Wvc7voK4BRJ0YdmdZIOHjyItWvX4ssvv8S4ceMAAC+99BJuuOEGPPvss8jNzW33npqaGvz1r3/FypUrce211wIA/va3v2HIkCH44osvMH78eHz88cc4cOAAPvnkE+Tk5GD06NF46qmn8PDDD+Pxxx+HzWbD8uXLMXDgQDz33HMAgCFDhuDzzz/H888/j6KiIu+Ht1pht9u1OgQkQtDjqVnOb0FIpKJHgdVA5B4k9J7+D3SgdxvTbQQaRpKKi4uRkZEhCSQAKCwshNlsxvbt22XfU1JSgpaWFhQWFkrL8vLy0K9fPxQXF0vbHTFiBHJycqR1ioqKUFtbi/3790vr+G5DXEfchsjhw4eRm5uLQYMGYcaMGSgrK1P9TM3NzaitrfX7IZGPmALTNN1G4zaJIsT7s551kgLTXOfqm3Gq+jwA/Wa2ASEYt93aGrfFQ07jdnSgmUhyOBzIzs72W2a1WpGZmQmHw6H4HpvNhoyMDL/lOTk50nscDoefQBJfF19TW6e2thbnz7eelPn5+VixYgXWrl2LV155BUePHsVVV12Furo6xc+0ZMkSpKenSz99+/YNchRIJKBHTRixBhOfDkk0YEhbEh/D9L5TNRi/ZANe2ngEgH41kgDfitvyr2tp3AbYDDva6PC34JFHHmlneA78OXTokBZj7VKuv/563H777Rg5ciSKioqwZs0aVFdX45133lF8z8KFC1FTUyP9nDhxQscRk3CRGtxqeEewtqkkXvhINCAYYNy2+tQS+0fxcbT4qBRjPEnykSSx4rYWdZIA5crjJDLpsCfpwQcfxN133626zqBBg2C321FZ6d/p2OVyoaqqStEHZLfb4XQ6UV1d7RdNqqiokN5jt9uxY8cOv/eJs9981wmcEVdRUYG0tDR069ZNdt8ZGRm4+OKLceTIEcXPlZiYiMRE/U5m0jXo4b+gcTv6EAQBZ+udyNLRDxMpGBFJEtNcdU0urN5z2u+1LJ2m/wMdMW5rF0lqVtk/iSw6/C3IyspCXl6e6o/NZkNBQQGqq6tRUlIivXfjxo3weDzIz8+X3fbYsWORkJCADRs2SMtKS0tRVlaGgoICAEBBQQH27t3rJ8DWr1+PtLQ0DB06VFrHdxviOuI25Kivr8c333yD3r17d/SQkAhHvBZpWUySIfTo41er9uCy332Czw+fNXoouuOtk6S/cftU9Xk0ON0Y2CsFRcNykJliw6X9e+g2DjWR5HJ7pOuFVuk2PlBFF5p5koYMGYJJkyZhzpw52LFjB7Zu3Yr58+dj2rRp0sy2U6dOIS8vT4oMpaenY/bs2ViwYAE2bdqEkpISzJo1CwUFBRg/fjwAYOLEiRg6dCjuvPNOfP3111i3bh0WLVqEefPmSVGen//85/j222/x61//GocOHcLLL7+Md955Bw888IA0vl/96lfYvHkzjh07hm3btuHWW2+FxWLB9OnTtTokxCC86Tbt9iGF0GnGjFjcHgHlNedRXnMeb39Zhv/76iQAYN1+eY9kLGNkxW2R28f1wfKfjMWX/12oWyFJwNe43f5cdfpMedNKJLEZdnShWQkAAHjjjTcwf/58TJgwAWazGVOmTMHSpUul11taWlBaWorGxkZp2fPPPy+t29zcjKKiIrz88svS6xaLBatXr8a9996LgoICpKSkYObMmXjyySeldQYOHIgPP/wQDzzwAF588UX06dMHr776qt/0/5MnT2L69Ok4d+4csrKycOWVV+KLL75AVlaWloeEGIAe6TYLjdsRjSAIuPXlrdhzsqbdaye+a5R5R2xjRJ0kX0+g2QRMubQPTCYTLDqOAVCvji+m2gBtZrcBPlFnPlBFBZqKpMzMTKxcuVLx9QEDBrTrhJyUlIRly5Zh2bJliu/r378/1qxZo7rv73//+9i1a5fi62+99Zbq+0ns4NGh4jaN25GNyyNIAinBYoIJJtisZtQ3u/Afh/KM1lhF9CxrOZkhEN9I0g8uydZ12r8vcu1RRMQaSWYTYNVIJMlVHieRi6YiiZBIQLwhaOm/oM8gsvH9u5Q8eh3SkhJQ09iCUU9+jNM1TahtakFaUoKBI9QXtwG923wjuXdcZlz5FLV0l5bVtkXkKo+TyIUNbknMI94QtAzri9vmhS8y8f27iJ6U9OQE2NuiGfEWTTKi4nZW90RYzCb0Tk/CtXnZwd+gEWoiSctq2yJ8oIouGEkiMY9YcVtbT1LrRZVtSSIT3xuSb9r1Ent3OGqbUFpRh3EDMju9H0EQsOCdr1Hf7MKf7xyr6+yxjiBqRi1nfAaSk5aE/7v3CvRMsenWzFaOUCJJWookzoSNLiiSSMwjzeTRsi1JEOP2a58fxYptx2QjTZcPzMRzt4/S5Iba6HRh7T4HJgzJQXq3+EknBeJbN9BXLF9i747N/znTZZGkfadq8d6uUwCAM3XNulaS7ggeA9JtADC6b4a+O5QhlNltWpm2AUaSog2KJBLzeNNt2keSlC58rxcfQ1mV/Cyqk9+dwvTL++GyLohkBPLPkpNY/K/9SE20Ys9jE3U16kYSvjOJfCNJF+d0BwCUVnSNSPItkhjJs5eMKAEQKVhUZpc1t2hbbRtgJCnaoEgiMY803VnDCH+wSFJdkwsAsHT6GPTLTJaWv/rZt1i9pxxvbi/TRCQdLG+9+dc3u/A/6w5hXH/5feSkJWJkn4wu33+k4Pt38dWJefZWkbT/VC08HqFTIlIQBKzeUy67z0jDiIrbkYJUAkBmdpkUSdLSk8SaalEFRRKJedx6eJJMyjNWBEFAXVMLAGBs/x64IMPbGmfOVYOwek85Vu8tx+KbhiIj2dal40rr5j3F/3fzt/hffKu47j9/XtAlvpxIxFcU+KY18+zdkWyzoK7Zhf9U1iHPnhbW9lftPIF/lpyUutoDkS2SvA8O8aeS1EoAaN2SxHf/9C9GB5zdRmIePVILasbtZpdHaubZPcn/uWRkn3QM7Z0Gp8sjeVm6khaXdzxj+mXI/oiibeWOsi7ff6QgCpbAWllWi1nyyZQc/y6sbdc3u/Dov/Zh+9Eq2X1GInqUxYhUIsW47Yng7wfxQpFEYh6Pwg2yKxHTbXIXPjHVBgApNn+RZDKZMD2/HwDgzR1l7YqrdpaWtvTBfRMG471ffE/256UfjwEArNlbLkW8Yg21aOK4tr5hJcfCE0kbDlagqcWDvpnd8Kcfj0GCJfLr4DDdFsS4zRIApA2KJBLzuHWoCaN24atvbhVJqYlWWaF28+hcdEuw4D8V9fiqLLwbtRItIVz0x/TNwIVZKWhq8eBDH09NLKFWdV1srloS5rH/4OvWY3bL6Atw48hcaRZhJKdTaNxWMG67tJ/dRuN2dEFPEol59Hhqtqr4DMToTGqi/OmWlpSAm0b1xjs7T2LR+/sxPLdjvphJw+2YMCRH9jUxfZCgUknTZDLhjnF9seSjQ3hn5wlMu7xfh/YfDUjpNhlRcGn/HjCZgOPnGvHMukNSi5lQEABs+c8ZAMBNo1obd0dDA1MjerdFClIJABnjti7FJGncjiookkjMo0u6TcW4Xd+Wbgv0I/ny4/z+eGfnSRwsr8XB8toO7XvL4TPYriSS3KJIUr/o33rpBXh6XSm+KqvGkco6XJTdvUNjiHQ8KkbltKQEDLGn4UB5LZZt+ias7V+ckyqVE1CrwxMpeOskxZ9KUosk6dKWxBL53w/ihSIpAnF7BBw714ALs1KNHkpMIF6L9OjdJhdJqg1BJI3um4HlPxmLb8/Wh7zP7xqc+MtnR9HY7FZcJ5R0GwBkd0/CDy7JwicHK7Gq5CQWXj8k5HFEA22HQVEoL7ltBN796mRYT/cWkwk/GuvtRWaJgpsg023GGbfNUSCiiReKpAjjXH0zfvHGV/hPRR3+Pf9K/Pqfe4LOujGZgHuuGoiHivIU1zlVfR53v7YDo/tm4OkfjQQA3PfWbny0z+tBGdc/E2/ckx9z04K9M5u024fajBXJkxSkgeqk4fYO7bPsXCP+8tlR1Ru7OKsulDYQt4/ri08OVmLlF2U4VN6x4op59u545Pq8iI1MBCsDMapvBkZ1UTXoaIokxdipHhJGiyS11DyJPCiSIozuSQmoa3Lhu8YWTF76mRSFCMayTd9gXP9M/ECmcaTbI2DB27txuLIehyvrMaZfD7S4Pfj316f91iv+9hzO1kduK4VwEQw2boueJLVIUnj7hOI+RZwdMKJem5eNnLREVNQ2Y3ObzyZUNv/nDKZe1heDIjT66TVua7+vaJi9JDCSJCtSnO7WqKyWxm0LSwBEFRRJEYbNasaL00bjxpc+lwTS0uljcNmAHorveeXTb/D34uOY+4+dsuZgt0dAbZMLJlPrxfHRf+2ThMNvbsjDTaNycdX/bILLI8SkmVCP2W1qM1bEEgDdFYzb4e9TvRUKELonSVznnZ8VYGcHp8I//sF+1DW5JNNrJKJm3O5qomH2klG92yIByT8oV9OsRftikuJ1iJGk6IAiKQIZnNMdi28aiv9+bx9mFvTHD9tmzSjxmxuG4Mtj3+FgeS2+a1Suc/M/U0big69P47PDZwEAE/KyMeeqQTCZTLCYTa0iKQZP3GB+lK5AbcaKmG7TLJKkmm7rWPqgf88U9O+Z0qFxPLOuFHVNroj+7rh1rDAdDbOX9KhCH6moGrfd2oskaxTU0SJeKJIilBn5/TFxqB29UoO3qUhKsOC9X1yBEwoNVAEgOdGKCzK64dYxF+D4udb1BvRMljwk0TBtOVz0mO6sdvy8JQDUPUkdRYwkCQIU+461uIOXAOgs0fDd0WOGo0g0zF5iuo3GbRIaFEkRTFb3xJDXTUqwYHBO8GnbCRYzLspu7xuJhhtduEhPzRreIENKt3VxJMk3deQWBJjR/vN1xJMU9jhUnswjBT3TbdFk3NbDoxVpqJ2rehq3I/n7QbzE4SlC5IhlkaTHdGd147a26Tal/QI+s9t0aNgZyd8dPdNt0XA84rlOkvgd8Aho1wao2a39Q0U0GPuJF4okAsDn6SaCowHhIj01a9ngViV6oJUnybcytNIF11txO75FktjQVZdIUjQcjzhOt1l9hHLg30g0btu0LCbJEgBRBUUSARDbeXI90m1qKSdvCYCu9ST5RZIUxG2LDk/GarOFIgUat/2J57Ykvt+BQKGiR4NblgCILiiSCIDYzpPrUThPLXogtiVR6t0WLn6RJJk+VIDv7DbtBWIkPxl7jdva7ysajNvxHEnyjSYGzjBrbmmtk5SUoL1IiuTzhXihSCIAYjtPrku6zQhPks/HUYpa6Jpui+DIiZ7G7WiIysZ1nSS1dFvb+ZKkYbpNrc8jiTwokgiA6PBRhIvoR9El3RZw/DweAfVOUSR1bbpNrG8lt1+RjrQlCRdpDArRrEhAz3RbNHhO4jqSpCKSmtoiSYkaRpLU+jySyIMiiQCIbZGkR8VtpafDBqdLqknT1ZEk3/3K/d0EQdDVYxHJkSSPjpGkaPCc6NGqJ1LxK50R6ElyicUktTduR/L3g3hhnSQCIDpqu4SLnp6kwKdDMdWWYDFpUsXXYjYBbvm/m+9YNI0kRcF3x5ASAJEsGuPcuC22aFKKJGnpSYpka8PWI2dxpLIePVJsuH64XdPrRrRAkUQARMeFPVz0qLasFD0Qp/+nJlo1qUkTSvVgQKdikhF40RfRtZhkFBwPcWjxWCcJaI3mtLjb96ps1jGSFGnpts3/OYOZr+2Q/r/sx5di8sjeBo4oMqBIIgCi48IeLqJVRpdikkJgJEmb6f/Sfts+ktwFV5zZBrAtibfCtB4iKXjjYaOJ50gSIF4LBLjcSiJJh5IZBjyQCoKADQcrUdXg9F8OAc9+/B+/ZecamvUcWsRCkUQAsARAZ5GeDgMuurXntZnZJu23LUIkd8EV/Ugmkz5RtEj+7rh1MO+LiHo0ko+H1LstTlWSFPkVlNJtGs5uaxPRRkSS1u5z4N43vlJ8fXB2Kgb0SsH6AxUR/f3VE4okAiCy8+SdRZd0m8LT4dn61qexnqmh9+HrCGrTzcWZbTaLWdO0SjSkar3Gbe33FQ3nUrxHkuQ8hC63R/q/ppGktk0bYdz+aJ8DAHBxTir69kj2ey0xwYwF112CP208DCCyv796QpFEAESH+TZc9OhTpTSt90ybSMrSSCSpRQBbdGhuC0RJJEnHdFukek58iefebYC8h9Dpk56OxRIALrcHn5ZWAgB+d+sIXDYgU3a9aEgX6wmt6wRAdEQDwkW89ml5g1Sa1numrk0kdddGJKkat9s+uJbNbYHoENhSaxqWAADgUzssTkWSXK/KphYfkRSDJQBKjn+H2iYXMpITcGm/Horric9UkSzy9YSRJAIgOqIB4aJHnyol47ZeIknuguattq3tjTCU787xcw049d159ExNxCX27pqORw59jdvRE0mK13SbKA59PYTNrlY/UoLFpOn3RNq3Tt8PQRDw/744jg/2lAMAfnBJturnEyNJkSzy9YQiiQCIbZGkRzFJ6cnUbYxIkjNut+hQSNJ3DErfnbJzjfj+s59KZuFXZlyK60foO7VYjybHItHQdsKjwzkRyVhlzpvmFu2n//vuWylqX3auEY/+ax9qm1ow4oJ0PHbTsHai5q0dZXhn5wn4biHBbMZ/TRiMKwf38lt3y+GzePRf+6X/Fw7JUR0fI0n+UCQRANHx9BsuUo0cHZ4OAy98ZzX2JEl/N5mWIHq0JPEdg6JIqmqE72H59f/tgckEDMpKxcU5+kSV9K2TFPmejnhuSwLI+4KaXNoXkgSCp2M/2HMam/9zBgCwq6wauRnd8PNrLpReLzn+Hf77/X2y36/5b36FdfdfjZy0JGnZ+gOtZu3RfTNw48jemDTcrjo+sXF2JIt8PaFIIgBiu1S+oMMNwSsU/JdrHklSiVo49TZuK1xUxYjWkN5pSEowY1dZNX7+/76C2QS8cc94FFzYU9PxAXqn21p/R7JIklLQcepKlbve6RVJClYCQCxAm5uehNM1TXju41Js+c8ZXDU4Cz8Z3w/3v70Lbo+AScPsmDK2j/S+Fz75D/afrsWD73yNv//0cpjNJgiCgI0HW83av7z2IkwIEkUC9E8HRjoUSQSAciQkFtAj1eKdZeZVSU0tbtS2tSXRKpKkNt1cFCeaR5KCGLfFAn3JNguWTh+DR/5vD46fa0RZVSPuf3sXHr9pWKdnWY3pl+H39ByIW0ejcnSUAGj9zUiSryepTSRpHklq/a30QNrYJpJuu7QPjlTWY+1+B7Z9cw7bvjmHNXvLcaLqPC7I6Ianbx+JNJ8itQN7peDGlz7D50fO4rWtR3HPVYNwsLwOp2uakJRgxvcu6iW7v0Cslth9YA4HiiQCwHtiRPKFPVz0MKnK3RjFVJvNYkZaN42KSYYwu01zT1KQ745XrJlwQUY3/GN2PhqdLtz40uf49kyDanG7UBnQMxmfPvQDxde9kaRO7yoo0VQCIF6N21IE1jfd1lZI0uhIUqOzdRzJiRa8MG00Pi2txKZDZ/D2zhPYe6oGZhPw/NTRfgIJAC7KTsWiyUOx6P19eHptKbYeOYvymiYAwPcu7BVygUxGkvyhSCIA1IsSRjvSDVLLdJvM8fNNtWlVjya0SJLGs9uCfHe8BnLvRTrZZsX//mQsnlx9AOfbbgrh4HR7sOdkDU5XN6mup4cvTSQqjNse1kkC/CPnerQkad1362+l74ckkhIsSEqwYNLw3rg2LwcHHbXYc7IGv/j+Rbh8oHyNoxn5/fBp6Rl8crACm0rPSMuD+ZB8ieXuC+FAkUQAxPbsNim1oEdrDqG9SOqlkR8JUI9a6JZuC/LdkURSgFgbnNMd/5id36l9V9Q2If/3G4KmifWtk2Rc24lQ0cOnF8nITVTxtiTR9nyRKz/gS6OzNd2WnOi9PdusZvzjp/koKavC9y/OVty2yWTC0umj8fH+CsmTmNYtAROHBvciSeOL4XtBOFAkEQCxLZL0uEF6Z6x4l52tb20iqZUfCYgO47ZTw1l2vhFQQRAUIyNGGLeVPB0ej4C1+x2oqFWPfnWWnLQkTBpml304iPd0m6xx26VXCYC22Y/BIkk2/3GkJyfg2rzgYifZZsUtYy7oxPiYbvOFIokA8N5slU6M8043lnx0ULqwJyVYMOeqQRh+Qbom4zlVfR6fHz6DUDMWZrMJ378kC9nd25t39fCjeJ9MvSpJ65lt/vuV8yRFRgkAb1HLrh+H1ecu7xGUe7NFUiTpi6Pn8Isu8GGFwsp78nGFjGGXxm0547boSdIn3aZ0vogiKcVmzO05GirG64lmf4Wqqir88pe/xAcffACz2YwpU6bgxRdfRGpqquJ7mpqa8OCDD+Ktt95Cc3MzioqK8PLLLyMnx6uey8rKcO+992LTpk1ITU3FzJkzsWTJElitrR+lvLwcDz74IHbu3IkjR47gv/7rv/DCCy+029eqVavw6KOP4tixYxg8eDD+53/+BzfccEOXH4doIdiMhs8On8Hfi4/7Lfv88Fmsue8q1VlF4TLvja+w+0R1h95TOCQbr868rN1yPfpUeYs6QoponKlvFZR6iCS5v5vUu83gYpJapv18oyQujwcWs3wUQM/ebcEiSZW1XvE8fpA25Q+KvzmLs/VOnG1wyr7uPSc02X3EIxdJEtuShGpwDpdgdbTEdFs3m7bjUCKWa+aFg2YiacaMGSgvL8f69evR0tKCWbNmYe7cuVi5cqXiex544AF8+OGHWLVqFdLT0zF//nzcdttt2Lp1KwDA7XZj8uTJsNvt2LZtG8rLy3HXXXchISEBv//97wEAzc3NyMrKwqJFi/D888/L7mfbtm2YPn06lixZghtvvBErV67ELbfcgq+++grDhw/v+oMRBQQrAdDQduJelJ2KWd8bgH8UH8chRx2mvLINF2R069S+M5IT8MQPh8Oe7hVbYhTm8gGZQWeGnal34usT1ahse08gUu82HYzbADD4vz+CyeS9yBgVSYqUEgBaijW/SJJHeT3xZqiPSFJPp5xv876M6pOOl6aP0WQMP3l1Oz4/clZRqMW7J0luBpfekaSgxm2jRFIUTDzQE01E0sGDB7F27Vp8+eWXGDduHADgpZdewg033IBnn30Wubm57d5TU1ODv/71r1i5ciWuvfZaAMDf/vY3DBkyBF988QXGjx+Pjz/+GAcOHMAnn3yCnJwcjB49Gk899RQefvhhPP7447DZbBgwYABefPFFAMBrr70mO74XX3wRkyZNwkMPPQQAeOqpp7B+/Xr86U9/wvLly7U4JBFPsBkNYsqkX2YyZuT3R8Ggnvjhn7bi5HfncfK7853ef8Ggnrj7ewOl/4vjWHzT0KApvU9LK3H3375UHLu3d5t2N4S0bgm4MCsF35xp8Lvw2qxmjFVpJtlZ1CJJkifJqvHstjCN2125b0BMdSpEknSskyR+TKUncWmquYYRi2DRgHhvSyLXzkcqJql5naS2dKyicVsUScam2xhJakWTv0JxcTEyMjIkgQQAhYWFMJvN2L59O2699dZ27ykpKUFLSwsKCwulZXl5eejXrx+Ki4sxfvx4FBcXY8SIEX7pt6KiItx7773Yv38/xowJ7amsuLgYCxYs8FtWVFSE999/X/V9zc3NaG72Ritqa2tD2l80EGxGQ6AJeFBWKjY+eA12HKvq1H7/XnwcO45WSTV9RFwd8JAEu0l7i0l2ZqTBx7D2/qul2kgi3ZMSkJqo3cVOLQKo++w2hSfPZg3HYQk1kqRjnaRgng4praOhQTjYGOLduC3XzkdqS6J1naQgkZrzRkeS6EnyQ5Ort8PhQHa2/zRFq9WKzMxMOBwOxffYbDZkZGT4Lc/JyZHe43A4/ASS+Lr4WkfGJ7edYNtYsmQJnnjiiZD3E02EWjU5wScUnZ2WhBtHto8KdoRPS89gx9Gqdu08xAuINYToQzCRpEedJKBVBPRO71zqsaOozUQRjdu6zW5TeDJucbUZyDVIY/j+TV0qKsmI3m3BIkndbNr9XYIVBBQXs06SEZEk9RS5+MBotEhSO5/iiQ59Gx555BGYTCbVn0OHDmk1VsNZuHAhampqpJ8TJ04YPaQuI1jVZKl6cxffcOXaefiOI6RIUhA/lR51koxC1bjtbi9stRxDsN5tWhm3xa+IWq0k8TU9vgPBjNt6RCzUOs37jisGT4mQMLIEgNo52+hTWNXodFvgg2u80qG/woMPPoi7775bdZ1BgwbBbrejsrLSb7nL5UJVVRXsdvnKn3a7HU6nE9XV1X7RpIqKCuk9drsdO3bs8HtfRUWF9Fqo2O126X1y+1EiMTERiYnamXCNJFgJADEa0NXmW7PCCdmRCsnBWqroOf1bb1RLAGg49d5vDCFW3NbKEGsxmeASBNUaX55IiiQ5xaKFxqTbfNM8sXhOhIKscVunYpLi6Sj3/RBntlnNJs1npSphUXhwjVc69FfIyspCXl6e6o/NZkNBQQGqq6tRUlIivXfjxo3weDzIz5evsDt27FgkJCRgw4YN0rLS0lKUlZWhoKAAAFBQUIC9e/f6CbD169cjLS0NQ4cODflzFBQU+O1H3I64n3hEerJSLAiozcyPYJEkawgiKVhLlVj2X4QSSdLCMC03hmBRSK3ao4RSCFWPJsfe8bT+VjqXvFPNtbsJqoln30XxKpKkkieybUmMKwEgRpKMmv4P+EbmDRtCRKHJWTpkyBBMmjQJc+bMwY4dO7B161bMnz8f06ZNk2a2nTp1Cnl5eVJkKD09HbNnz8aCBQuwadMmlJSUYNasWSgoKMD48eMBABMnTsTQoUNx55134uuvv8a6deuwaNEizJs3zy/Cs3v3buzevRv19fU4c+YMdu/ejQMHDkiv33fffVi7di2ee+45HDp0CI8//jh27tyJ+fPna3E4ogK54mq+ODWaxq1kPO5IesQapO6IntO/9Ua9mGRktCXROqIVkkjStU6S+uwlKd0WCZEkY4IVhiPXGqTZpVMkSeWh7rzBhSQB38g8I0mAhnWS3njjDcyfPx8TJkyQikkuXbpUer2lpQWlpaVobGyUlj3//PPSur7FJEUsFgtWr16Ne++9FwUFBUhJScHMmTPx5JNP+u3bd5ZbSUkJVq5cif79++PYsWMAgCuuuAIrV67EokWL8Jvf/AaDBw/G+++/H7c1kgD5HL0vWrW4ULrJdyiSFKSCbSxXF1abKdMiGrdjuJhkKPsHdE63BfHIeXuEGVMCQGAkSTZyLkb49PIkyX0/Gprb+rYZGEmK5Wbn4aCZSMrMzFQtHDlgwACpfo1IUlISli1bhmXLlim+r3///lizZo3qvgO3K8ftt9+O22+/Peh68ULQEgBubSJJcuJM8PGXhHIRDxZJkqJSMXhDUPu7tejlSQoShWzReJZdaJGk1t/6pNtCLAGgpUhSEc/0JBndlkTFuN0moJMTjRNJwWrmxRtxGmwlgYRaAkAr47bvxcp3CKGkR6ReSAriWNAx1aI36iUA9G1wq+TBadFIYIuozeQS8UaSNBmCH8FE43kdDMLSeSWT8vP9O8WpRpK93unXlkT5+yHVSEowLt0W7IE53qBIIgBC6OSuUbpNLpLke3KGImyk8LCCB8QblQp7mBFLaCUANDZuBxHYWnuS5PwlgXRktmRnCWbclmZRGVUCgOk22V6VkRBJEtNtRhq3GUnyhyKJAAj+9Kuncdv35hJSCYAgvbL0nNmkN6GUALBZdPJYGDS7LdjMTEDvOklBjNt6pNtUpnELfuk2zYYQ0cj3btOnmKRa9FeMMqYYmG4zhxCZjScokgiAEIzbmheT9O7X9+LRFcbtWG7mqZbqatFYnASOIahxW6Mn9GAzMwFjjNuKJQBc2lfcVisIyEiSknFbjCRpK1DUREhDc9t3w8B0m1UlVRuPUCQRAMFvNFr5SuTy377/7krjth43SL2R60El4tS74nawQqQapduCCXxA70hSEE+SU/ubsZp4pidJybitff0qIFgJAONntwUT+fEGRRIB0IESABrNbnMpiKSQPElBjNtSMckY/LarlgDQWJxIYwixLYlWxu1QIkn69m4LNrtNxxIAKsZtkyl+e7fJtiXRuwSAR2g3E1ssJmnk7LZgIj/eiMHbBgkHtW7ygPZ1kpSM26E8+IuRJEFQKJ7nEbcVezcEtWaUWtcnksYQpKWN1kUtQ4kkeXSc4RjsJtOkQ8RCTTzHcvo5VAKFtSAIUhpUrwa3gH/qEwAaImB2WzCRH29QJBEAwfufaVYCQOYG63tDC+VJ1zc6ID+bJ3ZLAKh5T7SqbdVuDDIzhfzG4dLWGxWs4z3gjajomW6TO5c8HkE6HlpGkswq4jmW2/SESmDKq8UtSOJRr0iS7/5FIiLdxkiSHxRJBEDwKquaFZOU6aEknpyhihqLRfmiA3iFUyw+OIdUAkBr43aIDW418ySJAl+tTpKOvjS1KI74sAEA3TQUSVYV8Sz+meI11QZ4j8+KbcewaucJafo/oF8JAKD9d6QhgtJtjCS1YlxMj0QURpcA8PVOdHQmkl8kKWD8guB9Qoxp47ZqCQCj25K0LteuLUmbcT+kOkmaDCFgPMGneAPGlQAQz694jiRlJNukfz/0zz1+wkVrkeQ7YzfwOyIVk2QkKWKgSCIAjOvdJjcVt6ORJF9DdmA0IdanO4fSu023BrdKfjaN035ioEwtkiS1JTHYuC2athMsJk3Tv+olAESRFHvnQ6jccVlfmEzA54fPYsOhSix452sArQJJ6wibWeWhrlFKt0WAJ4mz2wAw3UbaCObrEG90Xf2UpVYCINSbiNVHJQVGE/xM4DH46KwaSdLLk6QSSRIEQXMDebASEIBPdNJg43aTDtW2gWC921p/x7NISk20Ytb3BmLp9DG4IKObtDwlUXtxYlXxJDVGQCRJrdhlPMJIEgEg7w3yRc8SAB01Wvuu1j6S1LFyAtGGUtRCD3ESOAY5keLyeNOdWqX9ghUT9X3N6Aa3UrVtjW+CakLNE8MevY6SkmjFshmX4k8bD8PpFnDTyN6a79Mc4SIpmD813qBIIgCC97/S6oYrF9oVxxCqqDGZWlMXbo/Q7sT273je2dFGHkolAPQQJ9IYVC6qLT75Hq16yIUUSdLRuK32JC5OM9e8YKGKUIvlhs/hMLpvBl6deZmu+1S6XonpNmMrbgc/n+IJptsIAO+JIRue9wiSv6WrI0lyRe/CuaEp3ahj3pOk4D3RQ5y0H4OMSHJ5l2kXSQr+5Ktng1u1thNNTp3SbaolAFp/x+L5EC3I+fgEQUDt+VaRlJ6cYMi4gNAis/EERRIBoH5iOH1uuF0ukmS8Ex01bvuuGzj+jrY4iTaUZjHpIU4Cx6DmizKZtBMooXQtd+toVlYbjzeSpFdV5/avsU6S8UgPdT4Ph+db3NL5kt7NOJHESJI/FEkEgHrKxE8kdfENV66lRDhP/UoiyTfdEIvpBenvFvBn00OciMjNUAwcR4JFu1lDwarFA/oat9U8HZInSbf+YHIlAFp/x3OdJKOxykSSas63SK+lGOlJCtLmKd6gSCIA1AvyOV3aiSS50gPhVMhWmobujhNPUqD3RA9xIqKW7mrRoVZTKLNx3Dr6cPyKBQaMSY++bb5jkLMYMpJkPHLnTHVjq0jKSE4wVMAGa/MUb1AkEQDqxm3fthJdPTtILpIktZDowK6UIknitqwhtjiJNpS8J3qIE2kMIRi3taz6HUqFYPHw6C2SAoWbN5Kkj0iSN263/o7F9HO0IJeSFUWSkak2IHibp3iDIokAUDdua1m5We5iIY7Bt/5RMJRSHKJ4sGrcmsMovDdD/+V6tSTxHYNaqlbLWk2hVAiWUrg6FpME2p9P53WOJKn3bovNcyIakIskiek2w0VSkDZP8QZFEgHgzUPrXZRQzrgdTk0bJbOsN5IUm191pZuhXoUkfccgH0lqXaZlraZQIkmScVuHr4Fa2wlvMUm9SgC0f411koxH7npVc94JwL9lihGotXmKR2LzzkE6jBRJUusBpoVIUjFuWzsgkhTTbeK2YjWSpGDc1qslCSBvQhXRo39cKJEkI4zbQPvvY3NERJJafzOSZBxykw0kT5LRkSQVkR+PsJgkAeBt/Cl7o9MykiQTBQgnkqR0o5TSbTHqUhVD44GzmPRqbgv4pw4EQfDzfulR9VutBYeIO4zaW+Gi1naiqe3v0k3ritsK4hnwFpOM0VMiKpAr3VEtptsMrJEE+H9/jTJuO2qa8NTqA6htaj0mL00fY1iEjSKJAPB5slExbmtxw5UTN1KdpDCM24E3yphPt0leLP/lerUkAQIuqoL/302aZadhQUtRKCpViwf0bUui1nZC73SbbAkARpIMx5tu8y4TPUkZ3YxNt5kjIJL018+/xYd7y6X/O+UKfukERRIB4FNATCVlosUNVy6SFI5xO1i6LRZrJAHyJRQAfT1JgaLA91jrMcvO0pE6SToJA7HtRDvjdlvF7cQIKCZJjWQcZpl0aI00u83427LVbIJL5vurBev2OzCgZwousXcH0BrpXLPXAQD4+TUX4uKcVKQlGVhc07A9k4hC1bjddqNL1OCGK5UekE23hb4dpWno4pO0HrO8jEDuYgt4xYkus9tUPDh6GrfloibSuHTuVyaKpHbGbZfxJQA4u814vA833mXVEWLcBtquKzLf365mx9Eq/OwfJchNT8LnD18Ls9mEfadqcar6PLolWHDfhMGap6aDEZs5CNJhVI3bGkYlREO13Oy2rogktXSwWW604U0z+i936phu8z22gdEcp7s1cqJHCQC1iLx4M9Ij3Qb4+KQUi0nq1SpGueI2RZJxyBm3ayLEkwQoR6i7mtV7TgMATtc0YdeJ7wAAH+1rTbN9/5IswwUSQJFE2gglkqRlCQC3bCSp87PbxP/rIRaMQLGYpAElAID2njaxh5yWx9/akUiSTsJAqQq4KJK66RVJUqm4TY1kHFaZCReRMrsN8J4nWkaSPB4Ba/c5pP+v3efAeacb/9rdKpwmDbdrtu+OwHQbAeAftfF4BD+Bordx21v4L/TtKLXGEMVCzEaSTO3D9oA+4iRwDIBcJEn7tJ85hEhSOCnczqD0fdS7LQmLSUYmZpkJFzURUnEb8J01q51I2nXiO1TWNUv//6hNMJ2qPo/e6Um4bmiOZvvuCLH5eE06jO+NLvDpoVnvEgCSfyT0/Sk9uUupuziLJEkpUp1KAIhfH+WIlnaiIFgkya/Jsc6RpMCbTGObcVuvEgByh0TUsbH64BANBH5nXW4P6ppdACLDk6TWaqirECNGE4fmoFuCBSe/O4+/fHYUAPC7W4cj2RYZMZzYvHOQDuOrRwJnNEgzlDS40alGksIwbrcbu0/vtlhEyY8jlQDQId0GyBtR/cahZSQpyOw23+V6CQOlSJIoklITtb0BhBZJ0nQIRIXA6Gdtk0t6LS3JeHGgVkW/K9h3qgZvbC8DAPxkfH9Mvayv9Nq0y/ri2rzIiCIBTLeRNnzTbYEnhpZRCbn6Rp0xbitGkmL0jqAURXHqOLsNEIWK0D6ipUMJAKWojYjvcr2M20pjqm+LFiRrHUlSLQHQ+jsWGz5HC17PT+sfqLqxdWZb9yRrRES9g4kkQRDg9ggdHutXZd/hDx8dwrdnGuD2CJg8ojeuvjgLV1+chQUTLwYAQ6f7y0GRRAD4R5IChYZRbUnCMW4HzsaI9Qa3wbxYeqTbAOVeYU4dSgAoHQMRXwGuV7pNKbrV2CaSUjROJagXk2QkyWgCZ/VWR0hzWxHp+yMTnRUEAT9aXoxz9c14+2cFyElLCmmbjU4X/uvNXTj53XkAQI/kBDz+w2HS65EmjkQokgiA9sZtX7SskyTetATBaxgPx7itWExSKgFg/NOZFkhprnYlAFoX6DG7DVC+qOpR+VvJjybi+53Qs05S4L49HgGNbcbtFJ3SbXLCUaBx23DEY7/lP2dR1+TCkcp6AEBGBEz/B9RFdotbQMnx1un6M1/bgdW/vBJWixkej4C/Fx/D6Zomv/X79uiGn4zvj+c+/g9OfnceuelJeOLm4Riam4as7onaf5hOQpFEAPg/VbaLJGnoKwmssWOGKSzjtnLF7baxx+hjszkgbC+iZ1sSQPmi2qJhFDJw30o1XXyHpJcwkEu3nW9xS6bplESdjNuyJQBaf1MkGYeYbn1v1ym8t+uUtLxnSmSIBrV0rW+LkEOOOrxefByzrxyIf3xxHI9/cEB2e6UVdVjZ5kH63W0j8INLsrt+0BpBkUQAtPoTlFop6JFuA1pvKAmW8IzbSumNWG9Lopjm0rCVjBxyvagAXz+bdsdfyY8mEinG7QZna6rNZNKvTpKacZsayTh+8f2LkGg1SxNLgNYU3MwrBhg3KB8CPVO+NLdFQ0X+WXISRcNy8D9rDwEAfjgqF73TW1NwJ787jw/3luP/fdEqkG4dc0FUCSSAIon4YDGZ4Eb7UvTNkvlWu9ltgPfi7RVJnS8B4NLBE2MkVoWbYYsO4sQXIyNaSs2NRfyM2zoJA7lIUmNzW6rNZtXcNK0kngFGkiKBEX3S8cK0MUYPQxG1749vJCnBYsLB8lrM+XsJGp1uXD4gEy9MHe33kHCy+jy+PlGNnik2PHrjUF3G35XE5p2DhIVS2kKvSJIocMIqAaBo3I7tSJJZEgherwmgb8VtQLkEgFMsaqlDus3lVki3+RiV9ZrRJRfZ1GtmG6AsngEfTxKv/kQBtUhkc0vrstREK665uDUqdLC8FjarGUumjPCbcGMxm/DC1NEoHJKDpdPHIDPF+BpQHYWnCZFQ8vVo2bvNd7aRKHDEm1pHZiIppVxc7tie3WYNSFeKOHWsuA2oNNrVI5KkUCNLxG2AUJZrOyHWSNLatA0oi+fWZTRuE3WsKtFZ3/vBD0fnSsvvmzAYF2altlt/YK8UvDpzHL53US+NRqstTLcRCfEeEig0tDTfykWSXGGk24JFkmK1TpLvU5tbEKQTWs8Gt4DyRVWPiFZQT5JHf1Eg13ZC9CRpbdoGAlrFeAS/hwRRt7FOElHCrBKd9a19dt2QHAy/IA0Z3WyYe/UgXceoFxRJREIsDNbOuN12pU/U4IZrMplgNrU+8UqRpE6k29oZt8WK2zHuSQL8U12isNWr4rZS/zSvn01743awOkl6RpLkZvs1SOk27S+7Fou8eAZYJ4kERy2S1OxqjYgmJpjRzWbB6l9epevY9CY27xwkLCTzbcDTg5aeJKB9JED83aFikgq9hsSbVMxGkvx67nlvyHobt5VmwzQ6tRcGwUSSt+6WESLJu8xr3NY3khRoKxHve0y3ESW8EzHkRJK+hWqNJj4+JQkJpacHvUSSO8C43RFho9S1uiWMFifRhFIkSUsfmRxKs2FEH46WZuVQI0l6tSQBfES7z7nkTbfpEEkyy4tngJEkEhyrwvUU8IqkxITYvKYGotmnrKqqwowZM5CWloaMjAzMnj0b9fX1qu9pamrCvHnz0LNnT6SmpmLKlCmoqKjwW6esrAyTJ09GcnIysrOz8dBDD8Hl8jYHLC8vx49//GNcfPHFMJvNuP/++9vtZ8WKFTCZTH4/SUmhlVaPZZS8Hefb6mIkaXRSBEaBwjJuKzz5SIIrRo3bSjdDo4pJto8kiSJJO2EQvHdb62+jjdsNOrUkAQJKawQIV7dUJyk2zwnSecwKkXlAn36MkYRmn3LGjBnYv38/1q9fj9WrV2PLli2YO3eu6nseeOABfPDBB1i1ahU2b96M06dP47bbbpNed7vdmDx5MpxOJ7Zt24bXX38dK1aswOLFi6V1mpubkZWVhUWLFmHUqFGK+0pLS0N5ebn0c/z48c5/6ChH6Ylc64t7oJ+oK43boliI1XRbq8hv/bdv1MKoYpKBUUipV5mGZmWlQqIikWPc1m92m0UhDQv41knSfBgkSlFr9aN1ZiHS0ORsPXjwINauXYsvv/wS48aNAwC89NJLuOGGG/Dss88iNze33Xtqamrw17/+FStXrsS1114LAPjb3/6GIUOG4IsvvsD48ePx8ccf48CBA/jkk0+Qk5OD0aNH46mnnsLDDz+Mxx9/HDabDQMGDMCLL74IAHjttdcUx2gymWC32zX49NGLokjSOE0QKHA6Y9xWjCTF8B3BajahxS34/d3ESr56Pe0pzYYRe5VpmW5TSw0AvsZtzYbQDm90y6cEgA6CUcRsbhXPgtBePAoGGNlJdKHW6kdKt1m1/x5HAppcNoqLi5GRkSEJJAAoLCyE2WzG9u3bZd9TUlKClpYWFBYWSsvy8vLQr18/FBcXS9sdMWIEcnJypHWKiopQW1uL/fv3d2iM9fX16N+/P/r27Yubb745pPc3NzejtrbW7yeWEK+Z7SNJ2j4BixGjThm3Faegx/bsNkA+NG5YMcl2kSTt021qqQHf5Xoat+Vm+9XrcCx8UZrMIN74mG4jSqiV1Yi3SJImn9LhcCA7278/i9VqRWZmJhwOh+J7bDYbMjIy/Jbn5ORI73E4HH4CSXxdfC1ULrnkErz22mv417/+hf/3//4fPB4PrrjiCpw8eVL1fUuWLEF6err007dv35D3GQ2I5mbfG50gCJrXdxH1izsgktQh47ZCFEx8ko/lp2Y5T47edZLkZsO0uD3SODSNJLV9bxVFkgHGbdlIUtt5lKpDJAlQPifYloQEQ63Vj7OtBABFkgyPPPJIO8Nz4M+hQ4e0GmuXUVBQgLvuugujR4/GNddcg3fffRdZWVn43//9X9X3LVy4EDU1NdLPiRMndBqxPphlnh4and7O5akaRZICb3LuMCoCKz01e3u3xe4NQa6ZqteTpFMJALleZU5vI0xNI0kBIjsQb/rWiEiS7+w2nSNJCjMOObuNBEOK7ssUk/Sm2+JDJHXobH3wwQdx9913q64zaNAg2O12VFZW+i13uVyoqqpS9AHZ7XY4nU5UV1f7RZMqKiqk99jtduzYscPvfeLst874ixISEjBmzBgcOXJEdb3ExEQkJiaGvZ9IxyqThxZN22aTdp3LpZtcgHG7KyJJ4ZjAow25VJdRs9t8xyBGThIsJk2fOoNGkoyokyQTWWvQ0ZMEKM84ZJ0kEgzx2Uo+kkSRpEhWVhaysrKCrldQUIDq6mqUlJRg7NixAICNGzfC4/EgPz9f9j1jx45FQkICNmzYgClTpgAASktLUVZWhoKCAmm7v/vd71BZWSml89avX4+0tDQMHRp+d2G32429e/fihhtuCHsbsYBcJKneZ2abVh6GdiUAwnjyV+zd5tE3omIEcp9dMm7rXCfJ98lTjCRpJa69+279rTi7zcB0m+9NxiuSdI4kKfRuo0YiSgT6RH2hcbsLGDJkCCZNmoQ5c+Zgx44d2Lp1K+bPn49p06ZJM9tOnTqFvLw8KTKUnp6O2bNnY8GCBdi0aRNKSkowa9YsFBQUYPz48QCAiRMnYujQobjzzjvx9ddfY926dVi0aBHmzZvnF+HZvXs3du/ejfr6epw5cwa7d+/GgQMHpNeffPJJfPzxx/j222/x1Vdf4Sc/+QmOHz+Oe+65R4vDETXIeVu0Nm0D7aNAnTJuK6TbYtmTJBdFa9G5lomcKGjU4bsDqKcGAG+6yWjjth41o3xRmsZNTxIJRqBP1Be9C9UajWZn6xtvvIH58+djwoQJMJvNmDJlCpYuXSq93tLSgtLSUjQ2NkrLnn/+eWnd5uZmFBUV4eWXX5Zet1gsWL16Ne69914UFBQgJSUFM2fOxJNPPum37zFjxkj/LikpwcqVK9G/f38cO3YMAPDdd99hzpw5cDgc6NGjB8aOHYtt27Z1KhoVC8j5evRoyhl4k++Mcbt9JKnNkxTD6Ta5v5tk3Nard5tceqntu9NN4zYc4ueXSw0AkWPc1jvdpjTrj54kEgyLSgo73opJaiaSMjMzsXLlSsXXBwwYINXrEElKSsKyZcuwbNkyxff1798fa9asUd134HYDef755/H888+rrhOPBHqDAO+FXSvTNtD+hOyMcTvwRukKI3UXbQSahAVB8Jndps/nFmsV+UbyzovFEzWOnKhNV/Ydk57XdLlIkvTAobNxO/BGJ4RxfpH4Qi2SJDW4jZNIUnx8ShISUgkAOU+SpiKp9bcojsJpJaJo3BYrbsewJykwTer2CJI5V7dikiqRJC2n/wPqhe8AY4zbgZEkt0dAU0vrv/X2JCmVAGCdJKKE2mSI5jirk6TP2UqiAjnjdoMOBfCkSJLbXyR1KJIUZHZbrDa4BdpHklp8vDl6G7flSgDoJZKUIklGpNvE7+4hRx0++Po0fEem9fEQURZJTLcRddRa/bAEAIlb1EoAaFkATwzytO/dxkhSKEhRi7bj5/TJ8RhaAqDtu5OsuXFbPZLkMSCSJHZI//hABT4+4G3SbTWbdLu5sJgkCRe1Vj/eitvxMbuNIolIyKVM9Ei3BYZ2u9K4HQ+92wINuuJFDNDvc8vWBRIjSRqXAFBrxgkYE0m6fWwffFNZj/pmF1xuATuPfyeNUa80l0UhGiAwkkSCoNbqJ97aklAkEYnAiASgj3E7sGJyWMbtOO7dFvjUJ/Vts5h1uyGrGrc1jiSZZb63vhjhSboouztenXmZ9P/bXt6Kr8qqdds/EDzdRk8SUUKuHIxIvBm3KZKIhHRR9UnXNOhwowu8mIdl3JaJZPhtK4YfmwNLALToPLMNMNa4rXZBB7yiwMgZjit+ejn++719yB+Yqds+g/n0mG4jSsi11RFhJInELd4ncu8yPaoEtysBEMZFXC6SAQAtbbOLYloktTNu638Rk/OzndfJuO2bGhCE9uksUfPrmW4LJC0pAS9NHxN8xS5ESSQ1t82y62aLj5sc6ThqKex4M27Hx6ckIaFWAE8X43aASOrIk783kuHfpyqcqFS0EXgzdLraCmjqmGKUnRmpU4VpXwEsF0zyGrc1HUbEoSSSzuvULoZEL2qTIeItkhQfn5KEhPeJ3LtMnzpJbZEkIXyRpNTxXGxVEdMlAAIMuk6dm9sC8iZhaXab1pEkn++JXHrAHQHpNiOQq8QOAOdbWkVSEkUSUUCtrIZ4fWEkicQdsk05dagSHFjdVbqphVMnqV3FbY/f67GIonFbx4uYRRyDTINbrUsAWIOJpDj14CidE6JI0rpdDIle1Fr9iOlaNrglcYeUMvG50enR4DawBEBYkSQF47b4WfSMquiNePMX0yh6N7cFFCJJksDWp5hk4P5FIsG4bQRK6bamFn28YiR6CSWSxHQbiTvkSgDU69CUM3AmRVgiScG4HQ+92y7J6Q4A+POWb9HU4vZpbqt/Gw7f4y9GkjRvcOsrktwqkaQY/g7IQU8SCZdQPElMt5G4Qzwx/q/kJI5U1gPw+kq0rJMUOIXb06WRJP2nw+vNL68djOzuifj2bAOeX/8f6SJmhHH7dE2TtP9GvRrcmtQjSUbUSYoEFEUSPUkkCN5Ikqfda2KdJEaSSNwhPhmcqj6Pm//0OY6dbdClTlKg8Tic6I9cJCPcbUUb6ckJ+P2tIwAAf/nsW3x5rAqAviJJPP7rD1TgB89+iupGp251ksxmE0T9I3dRj9d0m1L9KMmTRJFEFPAKbP/lHo8gFejVM51vJPHxKUlI3HFZXxQNy0HfzG5ocLoxb+VX0mtaRpICjdvh3NTMCk8+okiKZU8SABQOzcGtYy6ARwD+8tlRAPqGw6+4qBcyU2wAWkX2Ex8c0M24DfgYTdtrJG/V9TgTSUpNSpt0SoOS6MUrkvxPKN++kIlxIrJj+85BOsSFWan43zvH4c0549E90Yr9p2sBtJ4wWt5wA4tJusJIj3hn5nmXCYIQlr8pWnnspqHolZoo/b9nm2jRg0v79cBXj16H935xBcwm4L1dp6S0m9bGbUA9PRAPtbLkCJZuYySJKOGdiOG/vNmnLyQjSSRu6dMjGU/dMlz6f4rNommfJ/Fcc3XCuC1XRt/Xn5QQw3WSRDKSbXhzTj5+c0MeHr1xKBbeMET3MYzp1wNzrh7kt0yPiIVSnSzA60uL5VpZctCTRMLFW1YkIJLkI5Ji2efpC9uSEFluHp2LDYcq8cHXp9E9KUHTfYk3L08XGLd9bwi+/7bEyQk9OKc7BrfNdjOKBwovxicHKvDNmQZYzSZdnjjVIkktjCRJyzweAU1SWxKKJCKPWaEQqW9z23hpkBxfj1YkZEwmE35783DcMMKOn10zKPgbOkFXGLflbgi+kaR486MYSVKCBc/ePgpWswkDeqXocjGVK4Qq4jKgAnkkIHdO+KZLmG4jSiiZ/uOtJQnASBJRIT05AS/PGKv5fgIrRodj3JYrfubyMRlSJOnLmH49sH7BNZrW1/JFrfhdvBq35Qp8iqk2gOk2ooycfQHwbW4bP98diiRiOIGh3c4Zt+UjSfFg3I40BvZK0W1fSv4b32XxJpKsMq1iRJGUaDXznCCKBIskxUshSYDpNhIB+J6QgiBA1DlhlQDwiR65fCII8ZI/j1eUmrkCXp+SNc7SbXIlAM631a6iH4moIUWSAtLX8daSBKBIIhGAb2jXHWb0R64EgPfmSIEU61gsyiJJSrfF2fdALrp23tlm2maqjahglR46A9JtLYwkEaI7vi1Fwk2Ryc3G8EaS+DWPdVQjSaJxO86+B7IiiTWSSAhIxVnbRZLiqyUJQJFEIgCrT3Na35OyQ5EkmUiCKLjiLYIQj6h5kuK2BICKcZumbaKG0kQIepIIMQCzQiTJ3AEfkdwNQUq30aAa86iJJKmYZJx5kixyxm22JCEh0KOtWn95dROafGZENsdhCYD4+aQkYvGdmebboLYj4sYcYP4GmG6LJ6TWNjJ1kuJ1dpvcg0MT020kBAZnp8KeloTzLW4Uf3tOWi6JpDh64IifT0oilq40bgNe83Y4RSlJdBLY2saXeK2TJDeNm+k2EgomkwnXDskGAGw8WCktj8c6SRRJxHCsMiLJZEKHpu2bfW6AYppN7DsULz2G4hlLQGsbX1ye+Ky4LVcQkOk2EiqFokg6VClF51lxmxAD8IskCeE99ftFktpKJYkRBEaSYh9RB6tGkuJMLMvN+PPOboufmxwJjysu7IWkBDNOVZ/HRf/9Ee6fMBina84DAOzpSQaPTj94phDDsfrMpBAv6B0xbQeu740ktW4r3iII8Uhgk2RfJON2nHnT5GpHiZ6kZBufj4k6SQkW3HZpHwCt36G/bTuG4m9a/UmXD8g0cmi6El9XDRKR+NbkCNdkKx9Jav0HI0mxj1nFk+QVy/H1PZCNJDnpSSKh8/tbR2DnokJ0T7KiqsGJY+caYTIBlw2kSCJEN8xykaQOChtfISSm7CTBxUhSzCNFkmRmt8Vr2lUqiyBTJ4mz20io9EpNxDUXZ0n/H2JPQ3q3BANHpC+8exDDkUoA+Iikjt7QTCYTzJIvpTWCFK+zmuIRUVQvWXMID7y9G0vWHESzq1UQxKtxW7Xiti2+jgXpHIVDcqR/5w+KnygSQOM2iQC8kSRP2MZtoPWm4HELUrotXuvjxCPi39hR24T3dp0CAFyYlYo7Luvr1+g4npArAcA6SSQcrrk4C2ZTa3mV/IE9jR6OrvBxghiON5KEsI3bvu8RIwdscBs/HCqvlf49vu1J98O95QCAFk98VtxWKwFATxLpCD1SbPjZNRfiqsG9/FJv8UB8XTVIRGL2qQzcmeiPr9gCWHE7nvh+XmtNl6JhOfj9rSMAAFuPnEV1o1P6HtC47Ztuo0giHePhSXn4x+z8uPvuMN1GDEe2BEAYIsk3bef7O97SLPHIQxMvQeGQbFxzcTYsZhOG9E7DwfJafLy/Im4rr8sbt1vPCabbCAkNPmITw7F0gXEb8O8BB3ingzPdFvv0SLHh2rwc6XszeYQdAPDJwQqpThKN28B5pwsARRIhoRJfVw0SkVhkIknhiCTvTaH1/0y3xS8XZqUCAKoanHFr3Fab3ZYUZykTQsKFdw9iOH6RpLYokCUM47alXbqNkaR4Rewt5XR7JOM2I0nAeWfrsUimSCIkJOhJIobjOyutU5EkU6BxmxW34xVJJLk83khSnIllMXK252QNrn/xMwBAVUMzAKbbCAkVTR+tqqqqMGPGDKSlpSEjIwOzZ89GfX296nuampowb9489OzZE6mpqZgyZQoqKir81ikrK8PkyZORnJyM7OxsPPTQQ3C5XNLr7777Lq677jpkZWUhLS0NBQUFWLduXbt9LVu2DAMGDEBSUhLy8/OxY8eOrvngpEOINy+PgM6JpLbtPPTPrzHllW1Y8tEhAEAC021xR6K1VQQ4XR5vRDHOvgd9M5MBtKbYDpbX4mB5LTwCkGKzoFdqosGjIyQ60DSSNGPGDJSXl2P9+vVoaWnBrFmzMHfuXKxcuVLxPQ888AA+/PBDrFq1Cunp6Zg/fz5uu+02bN26FQDgdrsxefJk2O12bNu2DeXl5bjrrruQkJCA3//+9wCALVu24LrrrsPvf/97ZGRk4G9/+xtuuukmbN++HWPGjAEAvP3221iwYAGWL1+O/Px8vPDCCygqKkJpaSmys7O1PCwkADGS1NziRkVtE4DwRFJuejecqDqPQ446v+WWOIsgEG8kSfTgAPHnSRqWm471D1wNR9s5JXJhVipSEplEICQUTIIg0+yoCzh48CCGDh2KL7/8EuPGjQMArF27FjfccANOnjyJ3Nzcdu+pqalBVlYWVq5ciR/96EcAgEOHDmHIkCEoLi7G+PHj8dFHH+HGG2/E6dOnkZPTWip9+fLlePjhh3HmzBnYbDbZ8QwbNgxTp07F4sWLAQD5+fm47LLL8Kc//QkA4PF40LdvX/zyl7/EI488EtJnrK2tRXp6OmpqapCWltaxA0Qkvj5RjZuXbfVbNrpvBt6f970Obae60YkdR6sgADh6tgF/aIskXTc0B3+5a1xXDZdEAQdO1+KGpZ8hLcmK2qbWKPPexyeie1L89JwihCgT6v1bs/hzcXExMjIyJIEEAIWFhTCbzdi+fbvse0pKStDS0oLCwkJpWV5eHvr164fi4mJpuyNGjJAEEgAUFRWhtrYW+/fvl92ux+NBXV0dMjNbK/E6nU6UlJT47cdsNqOwsFDaD9GPS+zdMeKCdCTbLEi2WdA90YqbRrUX0cHISLZh4jA7iobZ8fNrLsT1w1ungefHUcdq0ooYSWp0eiNJ8WbcJoR0Hs1irg6Ho13aymq1IjMzEw6HQ/E9NpsNGRkZfstzcnKk9zgcDj+BJL4uvibHs88+i/r6etxxxx0AgLNnz8Ltdstu59ChQ4qfqbm5Gc3NzdL/a2trFdcloZOUYMEHv7yyy7f78oxLsf90LS6xd+/ybZPIJrFNJLl8ZnbFW7qNENJ5Ovxo9cgjj8BkMqn+qAkNvVm5ciWeeOIJvPPOO532Gi1ZsgTp6enST9++fbtolEQLTCYThl+QzghCHCJGknzhLEdCSEfpcCTpwQcfxN133626zqBBg2C321FZWem33OVyoaqqCna7XfZ9drsdTqcT1dXVftGkiooK6T12u73dLDRx9lvgdt966y3cc889WLVqlV9qrVevXrBYLO1mzfnuR46FCxdiwYIF0v9ra2splAiJQBIDRFKCpfUBjhBCOkKHH7GzsrKQl5en+mOz2VBQUIDq6mqUlJRI7924cSM8Hg/y8/Nltz127FgkJCRgw4YN0rLS0lKUlZWhoKAAAFBQUIC9e/f6CbD169cjLS0NQ4cOlZa9+eabmDVrFt58801MnjzZbz82mw1jx47124/H48GGDRuk/ciRmJiItLQ0vx9CSOQRGEliFIkQEg6a5SGGDBmCSZMmYc6cOdixYwe2bt2K+fPnY9q0adLMtlOnTiEvL0+KDKWnp2P27NlYsGABNm3ahJKSEsyaNQsFBQUYP348AGDixIkYOnQo7rzzTnz99ddYt24dFi1ahHnz5iExsbX2x8qVK3HXXXfhueeeQ35+PhwOBxwOB2pqaqTxLViwAH/5y1/w+uuv4+DBg7j33nvR0NCAWbNmaXVICCE6YQtIsbJWFiEkHDQtlvHGG29g/vz5mDBhAsxmM6ZMmYKlS5dKr7e0tKC0tBSNjY3Ssueff15at7m5GUVFRXj55Zel1y0WC1avXo17770XBQUFSElJwcyZM/Hkk09K6/z5z3+Gy+XCvHnzMG/ePGn5zJkzsWLFCgDA1KlTcebMGSxevBgOhwOjR4/G2rVr25m5CSHRh9VihtnUWqC09f+MJBFCOo5mdZLiAdZJIiRyyXv0IzS1tLamyeqeiC//uzDIOwgh8YLhdZIIIcRIfFNuCfQkEULCgCKJEBKT2KzeJq5sTUMICQeKJEJITOJbBoDGbUJIOPDKQQiJSXxFEo3bhJBwoEgihMQkvrWSrIwkEULCgFcOQkhM4iuSEhhJIoSEAUUSISQm8Z3dZmX/PkJIGPDKQQiJSXwjSWxLQggJB4okQkhMksh0GyGkk1AkEUJiEhq3CSGdhVcOQkhM4ltMkpEkQkg4UCQRQmISP+M2I0mEkDDglYMQEpPYWEySENJJKJIIITGJX8Vtzm4jhIQBRRIhJCbxjyTxUkcI6Ti8chBCYhKWACCEdBaKJEJITELjNiGks/DKQQiJSWjcJoR0FookQkhMYqNxmxDSSSiSCCExCY3bhJDOwisHISQm8fUkJTCSRAgJA4okQkhMkpjgbUvCSBIhJBx45SCExCR+s9to3CaEhAFFEiEkJvGrk8QSAISQMOCVgxASk/gaty30JBFCwoAiiRASk9hYcZsQ0kkokgghMYm/J4mXOkJIx+GVgxASk7CYJCGks1AkEUJiEv8Gt7zUEUI6Dq8chJCYhL3bCCGdhSKJEBKTMN1GCOksFEmEkJgk0eJTcZt1kgghYcArByEkJmG6jRDSWSiSCCExiY3GbUJIJ+GVgxASk1jMJsmLRE8SISQcKJIIITGLGE1iuo0QEg4USYSQmEUSSTRuE0LCgFcOQkjMkplsAwBkJCcYPBJCSDRiNXoAhBCiFX+cOhrHzzWgf88Uo4dCCIlCKJIIITHL6L4ZGN03w+hhEEKiFKbbCCGEEEJkoEgihBBCCJGBIokQQgghRAZNRVJVVRVmzJiBtLQ0ZGRkYPbs2aivr1d9T1NTE+bNm4eePXsiNTUVU6ZMQUVFhd86ZWVlmDx5MpKTk5GdnY2HHnoILpdLev3dd9/Fddddh6ysLKSlpaGgoADr1q3z28bjjz8Ok8nk95OXl9d1H54QQgghUY2mImnGjBnYv38/1q9fj9WrV2PLli2YO3eu6nseeOABfPDBB1i1ahU2b96M06dP47bbbpNed7vdmDx5MpxOJ7Zt24bXX38dK1aswOLFi6V1tmzZguuuuw5r1qxBSUkJfvCDH+Cmm27Crl27/PY1bNgwlJeXSz+ff/551x4AQgghhEQvgkYcOHBAACB8+eWX0rKPPvpIMJlMwqlTp2TfU11dLSQkJAirVq2Slh08eFAAIBQXFwuCIAhr1qwRzGaz4HA4pHVeeeUVIS0tTWhublYcz9ChQ4UnnnhC+v9jjz0mjBo1KtyPJwiCINTU1AgAhJqamk5thxBCCCH6Eer9W7NIUnFxMTIyMjBu3DhpWWFhIcxmM7Zv3y77npKSErS0tKCwsFBalpeXh379+qG4uFja7ogRI5CTkyOtU1RUhNraWuzfv192ux6PB3V1dcjMzPRbfvjwYeTm5mLQoEGYMWMGysrKVD9Tc3Mzamtr/X4IIYQQEptoJpIcDgeys7P9llmtVmRmZsLhcCi+x2azISMjw295Tk6O9B6Hw+EnkMTXxdfkePbZZ1FfX4877rhDWpafn48VK1Zg7dq1eOWVV3D06FFcddVVqKurU/xMS5YsQXp6uvTTt29fxXUJIYQQEt10WCQ98sgj7QzPgT+HDh3SYqxhsXLlSjzxxBN45513/ETb9ddfj9tvvx0jR45EUVER1qxZg+rqarzzzjuK21q4cCFqamqknxMnTujxEQghhBBiAB2uuP3ggw/i7rvvVl1n0KBBsNvtqKys9FvucrlQVVUFu90u+z673Q6n04nq6mq/aFJFRYX0Hrvdjh07dvi9T5z9Frjdt956C/fccw9WrVrll8KTIyMjAxdffDGOHDmiuE5iYiISExNVt0MIIYSQ2KDDIikrKwtZWVlB1ysoKEB1dTVKSkowduxYAMDGjRvh8XiQn58v+56xY8ciISEBGzZswJQpUwAApaWlKCsrQ0FBgbTd3/3ud6isrJQiQ+vXr0daWhqGDh0qbevNN9/ET3/6U7z11luYPHly0PHW19fjm2++wZ133hl0XUIIIYTEPpp5koYMGYJJkyZhzpw52LFjB7Zu3Yr58+dj2rRpyM3NBQCcOnUKeXl5UmQoPT0ds2fPxoIFC7Bp0yaUlJRg1qxZKCgowPjx4wEAEydOxNChQ3HnnXfi66+/xrp167Bo0SLMmzdPivKsXLkSd911F5577jnk5+fD4XDA4XCgpqZGGt+vfvUrbN68GceOHcO2bdtw6623wmKxYPr06VodEkIIIYREE1pOsTt37pwwffp0ITU1VUhLSxNmzZol1NXVSa8fPXpUACBs2rRJWnb+/HnhF7/4hdCjRw8hOTlZuPXWW4Xy8nK/7R47dky4/vrrhW7dugm9evUSHnzwQaGlpUV6/ZprrhEAtPuZOXOmtM7UqVOF3r17CzabTbjggguEqVOnCkeOHOnQ52MJAEIIIST6CPX+bRIEQTBOokU3NTU1yMjIwIkTJ5CWlmb0cAghhBASArW1tejbty+qq6uRnp6uuF6HPUnEi1gugKUACCGEkOijrq5OVSQxktQJPB4PTp8+je7du8NkMnXZdkWFywiVPDw+weExUofHRx0eH3V4fIIT6cdIEATU1dUhNzcXZrOyPZuRpE5gNpvRp08fzbaflpYWkV+uSIHHJzg8Rurw+KjD46MOj09wIvkYqUWQRDRtcEsIIYQQEq1QJBFCCCGEyECRFIEkJibiscceY3VvBXh8gsNjpA6Pjzo8Purw+AQnVo4RjduEEEIIITIwkkQIIYQQIgNFEiGEEEKIDBRJhBBCCCEyUCQRQgghhMhAkRSBLFu2DAMGDEBSUhLy8/OxY8cOo4dkCI8//jhMJpPfT15envR6U1MT5s2bh549eyI1NRVTpkxBRUWFgSPWli1btuCmm25Cbm4uTCYT3n//fb/XBUHA4sWL0bt3b3Tr1g2FhYU4fPiw3zpVVVWYMWMG0tLSkJGRgdmzZ6O+vl7HT6EdwY7P3Xff3e77NGnSJL91Yvn4LFmyBJdddhm6d++O7Oxs3HLLLSgtLfVbJ5RzqqysDJMnT0ZycjKys7Px0EMPweVy6flRNCGU4/P973+/3Xfo5z//ud86sXp8AOCVV17ByJEjpQKRBQUF+Oijj6TXY/H7Q5EUYbz99ttYsGABHnvsMXz11VcYNWoUioqKUFlZafTQDGHYsGEoLy+Xfj7//HPptQceeAAffPABVq1ahc2bN+P06dO47bbbDByttjQ0NGDUqFFYtmyZ7OtPP/00li5diuXLl2P79u1ISUlBUVERmpqapHVmzJiB/fv3Y/369Vi9ejW2bNmCuXPn6vURNCXY8QGASZMm+X2f3nzzTb/XY/n4bN68GfPmzcMXX3yB9evXo6WlBRMnTkRDQ4O0TrBzyu12Y/LkyXA6ndi2bRtef/11rFixAosXLzbiI3UpoRwfAJgzZ47fd+jpp5+WXovl4wMAffr0wR/+8AeUlJRg586duPbaa3HzzTdj//79AGL0+yOQiOLyyy8X5s2bJ/3f7XYLubm5wpIlSwwclTE89thjwqhRo2Rfq66uFhISEoRVq1ZJyw4ePCgAEIqLi3UaoXEAEN577z3p/x6PR7Db7cIzzzwjLauurhYSExOFN998UxAEQThw4IAAQPjyyy+ldT766CPBZDIJp06d0m3sehB4fARBEGbOnCncfPPNiu+Jp+MjCIJQWVkpABA2b94sCEJo59SaNWsEs9ksOBwOaZ1XXnlFSEtLE5qbm/X9ABoTeHwEQRCuueYa4b777lN8TzwdH5EePXoIr776asx+fxhJiiCcTidKSkpQWFgoLTObzSgsLERxcbGBIzOOw4cPIzc3F4MGDcKMGTNQVlYGACgpKUFLS4vfscrLy0O/fv3i8lgdPXoUDofD73ikp6cjPz9fOh7FxcXIyMjAuHHjpHUKCwthNpuxfft23cdsBJ9++imys7NxySWX4N5778W5c+ek1+Lt+NTU1AAAMjMzAYR2ThUXF2PEiBHIycmR1ikqKkJtba0UTYgVAo+PyBtvvIFevXph+PDhWLhwIRobG6XX4un4uN1uvPXWW2hoaEBBQUHMfn/Y4DaCOHv2LNxut98XCABycnJw6NAhg0ZlHPn5+VixYgUuueQSlJeX44knnsBVV12Fffv2weFwwGazISMjw+89OTk5cDgcxgzYQMTPLPfdEV9zOBzIzs72e91qtSIzMzMujtmkSZNw2223YeDAgfjmm2/wm9/8Btdffz2Ki4thsVji6vh4PB7cf//9+N73vofhw4cDQEjnlMPhkP2Oia/FCnLHBwB+/OMfo3///sjNzcWePXvw8MMPo7S0FO+++y6A+Dg+e/fuRUFBAZqampCamor33nsPQ4cOxe7du2Py+0ORRCKW66+/Xvr3yJEjkZ+fj/79++Odd95Bt27dDBwZiUamTZsm/XvEiBEYOXIkLrzwQnz66aeYMGGCgSPTn3nz5mHfvn1+Hj/iRen4+PrTRowYgd69e2PChAn45ptvcOGFF+o9TEO45JJLsHv3btTU1OCf//wnZs6cic2bNxs9LM1gui2C6NWrFywWS7vZABUVFbDb7QaNKnLIyMjAxRdfjCNHjsBut8PpdKK6utpvnXg9VuJnVvvu2O32dhMAXC4Xqqqq4vKYDRo0CL169cKRI0cAxM/xmT9/PlavXo1NmzahT58+0vJQzim73S77HRNfiwWUjo8c+fn5AOD3HYr142Oz2XDRRRdh7NixWLJkCUaNGoUXX3wxZr8/FEkRhM1mw9ixY7FhwwZpmcfjwYYNG1BQUGDgyCKD+vp6fPPNN+jduzfGjh2LhIQEv2NVWlqKsrKyuDxWAwcOhN1u9zsetbW12L59u3Q8CgoKUF1djZKSEmmdjRs3wuPxSBf7eOLkyZM4d+4cevfuDSD2j48gCJg/fz7ee+89bNy4EQMHDvR7PZRzqqCgAHv37vUTk+vXr0daWhqGDh2qzwfRiGDHR47du3cDgN93KFaPjxIejwfNzc2x+/0x2jlO/HnrrbeExMREYcWKFcKBAweEuXPnChkZGX6zAeKFBx98UPj000+Fo0ePClu3bhUKCwuFXr16CZWVlYIgCMLPf/5zoV+/fsLGjRuFnTt3CgUFBUJBQYHBo9aOuro6YdeuXcKuXbsEAMIf//hHYdeuXcLx48cFQRCEP/zhD0JGRobwr3/9S9izZ49w8803CwMHDhTOnz8vbWPSpEnCmDFjhO3btwuff/65MHjwYGH69OlGfaQuRe341NXVCb/61a+E4uJi4ejRo8Inn3wiXHrppcLgwYOFpqYmaRuxfHzuvfdeIT09Xfj000+F8vJy6aexsVFaJ9g55XK5hOHDhwsTJ04Udu/eLaxdu1bIysoSFi5caMRH6lKCHZ8jR44ITz75pLBz507h6NGjwr/+9S9h0KBBwtVXXy1tI5aPjyAIwiOPPCJs3rxZOHr0qLBnzx7hkUceEUwmk/Dxxx8LghCb3x+KpAjkpZdeEvr16yfYbDbh8ssvF7744gujh2QIU6dOFXr37i3YbDbhggsuEKZOnSocOXJEev38+fPCL37xC6FHjx5CcnKycOuttwrl5eUGjlhbNm3aJABo9zNz5kxBEFrLADz66KNCTk6OkJiYKEyYMEEoLS3128a5c+eE6dOnC6mpqUJaWpowa9Ysoa6uzoBP0/WoHZ/GxkZh4sSJQlZWlpCQkCD0799fmDNnTruHj1g+PnLHBoDwt7/9TVonlHPq2LFjwvXXXy9069ZN6NWrl/Dggw8KLS0tOn+arifY8SkrKxOuvvpqITMzU0hMTBQuuugi4aGHHhJqamr8thOrx0cQBOGnP/2p0L9/f8FmswlZWVnChAkTJIEkCLH5/TEJgiDoF7cihBBCCIkO6EkihBBCCJGBIokQQgghRAaKJEIIIYQQGSiSCCGEEEJkoEgihBBCCJGBIokQQgghRAaKJEIIIYQQGSiSCCGEEEJkoEgihBBCCJGBIokQQgghRAaKJEIIIYQQGSiSCCGEEEJk+P9TzBwyPjXOHQAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Обработка экспериментального сеанса при расстоянии между лазерным модулем и реперным в 15 м\n",
        "file_list = [\n",
        "    '/content/2025_06_25_19_21_03.csv',\n",
        "    '/content/2025_06_25_19_28_31.csv'\n",
        "]\n",
        "result_df_1 = process_experimental_data(file_list, window_size=10)\n",
        "\n",
        "# Координаты лазерного пятна и лазера до начала эксперимента\n",
        "R_LS_0_1 = np.array([-3.528, -4.407, 1.501])\n",
        "R_LW_0_1 = np.array([9.077, 6.767, 1.187])\n",
        "\n",
        "part1 = result_df_1[:45]\n",
        "part2 = result_df_1[100:]\n",
        "result_df_1 = pd.concat([part1, part2])\n",
        "result_df_1.reset_index(drop=True, inplace=True)\n",
        "\n",
        "# Запуск обработки\n",
        "y_i1, u_i, gamma_i, diff_15 = VDS_run(\n",
        "    Data=result_df_1, roll_shift=0,\n",
        "    Laser_vec=R_LW_0_1, Spot_vec=R_LS_0_1,\n",
        "    indicator_flag=1\n",
        ")\n",
        "plot_ts(diff_15)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 42,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "3nYnOUF0RItx",
        "outputId": "76bb5c6d-0c52-46aa-8ed6-1072c52a5492"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "STD = 0.0012728725341104848\n",
            "Mean_err = -0.00010242620967271713\n",
            "s-w_test ShapiroResult(statistic=np.float64(0.8339210961615362), pvalue=np.float64(8.816257310978538e-18))\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Обработка сеанса на 30 м\n",
        "file_list = [\n",
        "    '/content/2025_06_26_18_21_41.csv',\n",
        "    '/content/2025_06_26_18_28_23.csv',\n",
        "    '/content/2025_06_26_18_36_43.csv',\n",
        "    '/content/2025_06_26_18_52_01.csv'\n",
        "]\n",
        "\n",
        "result_df = process_experimental_data(file_list, window_size=6)\n",
        "R_LS_0_1 = np.array([-4.561, -12.213, 1.388])\n",
        "R_LW_0_1 = np.array([8.007, 17.511, 1.212])\n",
        "\n",
        "y_i, u_i, gamma_i, diff_30 = VDS_run(\n",
        "    Data=result_df, roll_shift=0,\n",
        "    Laser_vec=R_LW_0_1, Spot_vec=R_LS_0_1,\n",
        "    indicator_flag=1\n",
        ")\n",
        "plot_ts(diff_30)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 43,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "r0VipWLhRL1d",
        "outputId": "24af2078-4710-452c-9641-e3bfd9335531"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "STD = 0.001240605583141714\n",
            "Mean_err = -0.002158344317334203\n",
            "s-w_test ShapiroResult(statistic=np.float64(0.846757160425982), pvalue=np.float64(2.4083081702145042e-11))\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Обработка сеанса 50 м\n",
        "file_list = [\n",
        "    '/content/2025_06_30_19_57_47.csv'\n",
        "]\n",
        "\n",
        "result_df = process_experimental_data(file_list, window_size=3)\n",
        "result_df = result_df[200:]\n",
        "result_df.reset_index(drop=True, inplace=True)\n",
        "\n",
        "R_LS_0_1 = np.array([-4.143, -23.476, 1.316])\n",
        "R_LW_0_1 = np.array([6.831, 31.870, 1.220])\n",
        "\n",
        "y_i, u_i, gamma_i, diff_50_1 = VDS_run(\n",
        "    Data=result_df, roll_shift=0,\n",
        "    Laser_vec=R_LW_0_1, Spot_vec=R_LS_0_1,\n",
        "    indicator_flag=1\n",
        ")\n",
        "plot_ts(diff_50_1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 44,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "HzQKRefNROl2",
        "outputId": "f18e77d3-6e52-45ad-e28f-1a3eef7ad3a5"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "STD = 0.0020867526781987076\n",
            "Mean_err = -0.0018318211522760444\n",
            "s-w_test ShapiroResult(statistic=np.float64(0.8130859056370913), pvalue=np.float64(1.569628049100645e-17))\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Обработка сеанса 50 м (2-й сеанс)\n",
        "file_list = [\n",
        "    '/content/2025_07_05_17_03_32.csv',\n",
        "    '/content/2025_07_05_17_23_30.csv'\n",
        "]\n",
        "\n",
        "result_df = process_experimental_data(file_list, window_size=9)\n",
        "result_df = result_df[:]\n",
        "\n",
        "part1 = result_df[:230]\n",
        "part2 = result_df[260:]\n",
        "result_df = pd.concat([part1, part2])\n",
        "result_df.reset_index(drop=True, inplace=True)\n",
        "\n",
        "R_LS_0_1 = np.array([2.288, 21.973, 1.297])\n",
        "R_LW_0_1 = np.array([-1.303, -29.736, 1.221])\n",
        "\n",
        "y_i, u_i, gamma_i, diff_50_2 = VDS_run(\n",
        "    Data=result_df, roll_shift=0,\n",
        "    Laser_vec=R_LW_0_1, Spot_vec=R_LS_0_1,\n",
        "    indicator_flag=1\n",
        ")\n",
        "plot_ts(diff_50_2)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EOxoZCg0UQhz"
      },
      "source": [
        "# Сводная блочная диаграмма по результатам исследования"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 45,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 600
        },
        "id": "PWSq-LSTRQWn",
        "outputId": "9a7dedcb-43d6-4153-c77e-e61d5b30c895"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/tmp/ipython-input-45-1811546811.py:5: MatplotlibDeprecationWarning: The 'labels' parameter of boxplot() has been renamed 'tick_labels' since Matplotlib 3.9; support for the old name will be dropped in 3.11.\n",
            "  plt.boxplot(data, patch_artist=True,\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Вывод сводной блочной диаграммы по результатам исследования\n",
        "data = [diff_15 * 1000, diff_30 * 1000, diff_50_1 * 1000, diff_50_2 * 1000]\n",
        "\n",
        "plt.figure(figsize=(8, 6))\n",
        "plt.boxplot(data, patch_artist=True,\n",
        "           labels=['15 метров', '30 метров', '50 метров сеанс 1', '50 метров, сеанс 2'])\n",
        "plt.title('Ошибки определения вертикальных смещений для ДВП')\n",
        "plt.ylabel('Ошибка, мм')\n",
        "plt.grid(True, linestyle='--', alpha=0.7)\n",
        "plt.show()"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyM2rLF15gRKDwRIYZaieQAK",
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}